{
 "cells": [
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     "slide_type": "slide"
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   "source": [
    "# Making Maps (cont'd)\n",
    "## Wednesday March 30, 2022\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
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   "source": [
    "In the past lecture we talked about making maps.  Recall there are several ways to do this, _e.g._, pygmt, matplotlib's mpl_tookit, cartopy, _etc._.  In this class we will expand on this a bit and look at how to add data (and/or analysis) to a map.\n",
    "\n",
    "There is a whole discipline aimed at geospatial analysis (_i.e._, GIS).  Traditionally this has been done with a completely different set of tools, for example the ESRI (now Esri) set (ArcGIS) and the opensource QGIS.  Meanwhile, geophysical analysis is done with tools like Matlab."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Data Models\n",
    "\n",
    "With the different tools (and disciplines) come different data models.  In the geosciences we typically deal with \"flat\" data structures, _e.g._, a variable expressed as a two (or three) dimensional array where one dimension is latitude the other longitude (third being time and/or depth).  The most common formats are ASCII tables, NetCDF and Matlab binary.\n",
    "\n",
    "GIS applications on the other hand use either __raster__ files or __vector__ files.  The former are akin to images (a value as a function of lat/lon).  The latter are most commonly known as \"shapefiles\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Shapefiles\n",
    "Shapefiles are usually a series of files.  For example, you might have a shapefile of schools in Hawaii.  This would consist of schools.shp but also schools.dbf, schools.prj, _etc._.\n",
    "\n",
    "QGIS example."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Data and maps\n",
    "  1. projections and transforms\n",
    "  2. GIS maps: geopandas (and matplotlib)\n",
    "  3. GIS maps: geojson and plotly\n",
    "  4. GIS maps: cartopy and shapely"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
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   "source": [
    "# 1. Plotting data on maps: Understanding the transform and projection keywords\n",
    "\n",
    "Notes taken from https://scitools.org.uk/cartopy/docs/latest/tutorials/understanding_transform.html\n",
    "\n",
    "It can be easy to get confused about what the projection and transform keyword arguments actually mean. Here we’ll use some simple examples to illustrate the effect of each.\n",
    "\n",
    "The core concept is that the projection of your axes is independent of the coordinate system your data is defined in. The projection argument is used when creating plots and determines the projection of the resulting plot (i.e. what the plot looks like). The transform argument to plotting functions tells Cartopy what coordinate system your data are defined in.\n",
    "\n",
    "First we’ll create some dummy data defined on a regular latitude/longitude grid:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
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   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "# make an example data set, just sin/cos as 2-D field\n",
    "lon = np.linspace(-80, 80, 25)\n",
    "lat = np.linspace(30, 70, 25)\n",
    "lon2d, lat2d = np.meshgrid(lon, lat)\n",
    "data = np.cos(np.deg2rad(lat2d) * 4) + np.sin(np.deg2rad(lon2d) * 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 1A. Transform keyword\n",
    "In this first example, we plot the data with a map using the PlateCarree __projection__ without specifying the __transform__ argument. Since the data happen to be defined in the same coordinate system as we are plotting in, this actually works correctly:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "# The projection keyword determines how the plot will look\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_global()\n",
    "ax.coastlines()\n",
    "\n",
    "ax.contourf(lon, lat, data);  # didn't use transform, but looks ok..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 1B. Add the projection\n",
    "Again, since the data happen to be defined in the same coordinate system as we are plotting in adding the transformation doesn't change things."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LH44hQ4bUq2K5XE5paWl07tw52rZtG82YMYMcHByod+/etGrVKtq2bRsdOHCAMjMzKSkpiUpLS9//av+f4uJiSkpKInNzc9LW1qauXbvS1KlTSV9fn1xcXCq89RYuXEhhYWGUnJxMUqmUCgsLSS6XU0BAAPn6+lJhYSG9fPmSDAwM6MyZM/Ts2TPasWMHdenShUxMTMjY2Ji4XC7p6uqSi4sLcblc+uijj6iwsJA6duxIAOjXX38lojIvg7dJTU2l3bt307Vr10ggEFBRUREFBgbS8OHDFa3i3r170++//06hoaEkFAprfQ+mTJlS4To3bdrUaG/yoKAgAkDu7u4Ku5uy1VAf4uLiaMmSJTR//nyaNWsWDR06lObMmUPHjh1rMM+EnTt3Kjw/9u3bp/guDh8+/M58urq69NVXX5FcLq/wIn+7t3P69GkKCgqiixcvkoWFBf3+++8NYndjU/6ynzt3Lrm7u5O9vT2pqqqSjo4Ocblc0tTUVFzniRMnFPnkcjkJBAJKTEykp0+f0vXr12nv3r1kYWFBjo6O9MUXX9CWLVto1apVtGTJEpo7dy4tW7aMDhw4UKdnpyoSExOJwWDUf5bf0tKSJk2ahMGDB6N3797VpquKH3/8ERs2bAARwcfHBw4ODrCwsICvry8SEhLw559/Qi6X48yZM9DQ0ICqqipyc3PB4/EUSxNVVFQgkUjg6ekJe3t72NrawsXFRTGjmJWVhcePH0NdXR0RERG4e/cuEhMTYWxsjMuXL2PIkCEYOXIkTp06BQ8PD8TGxsLV1RUff/wxiouL0bVr1yptr+6enDhxAocOHcK1a9ego6ODO3fu4Ny5c7h16xZEIhG0tLSwe/duWFtbw8LCArm5ubh69SoGDx5cfj+hra0NFRUV6OnpwdTUFO3atUNG7kZERkhgbqECT28OBg0tG1gvyJdDR5eJC2eFePxQjNhXEmRnyrFphx669lCt0sZ/M2FUDtIL1ZAZWwQAGLHSDZ3GlfnWBma0rZQ+IYVbZTmqSdUvEZVLpYhb802l417TtkDQpnbjZiIrcZXH21hkVzo2gFf15OEYnbBqy+cXyPHn2RI8eSRBTLQEMhlQVCTH+I81YMRVAYsFGJuoIDlJik1ry+7VtM81MXiYGtw82DhX5F1luVXdQ+Cf+0hEkAtKUPIoAuLHryEvLUXJ6xhoOLSFxeRZECYnoDj2Jdi6emBp64JjYgq2rh6yfj8IuUwCkxkzwPj/ycWCh/eQdeU8GCwWLGcsAAComVoo6nz1vy+qvf6WSExMDC5evAhVVVXMnz9fMcfBYDCQn58PbW1tsFi1W8wpl8vx9OlT+Pv7o6CgAFpaWtDS0oKamhry8/Nx8eJFGBsbY8WKFUhOToZEIoG2tjZ4PB4kEgnU1dXh7u6OadOmQSAQwNjYGFwuF3K5HEQEOzs7WFpaYufOnfD396/fpJSuri5NnToVX3311TvdIiQSCb788ktkZGQgMTERmZmZuHbtWp0mRSQSCZKTk1FQUICsrCzFQPazZ88QHx+PhIQEPHv2DMbGxjA2NsbTp0/RoUMHiEQi2Nvbo2/fvuDxeHj69CnGjh2LixcvIiAgAI8ePYKdnR169uyJrKws3LhxAzk5ObC2tq6wgmbAgAH46KOPIBQKwefz8fr1a4SEhCA7u+yhdnd3B5vNRnBwMNTU1LB8+fIKq5z+/57hzz//xNGjR3H69GkIBAKYm5tj1qxZmDx5MkaOHAkdHR0wmUykpqbi9evX+HSGBtrYslCQL8eOLQIAwLaf9dCtpyr09P6ZqY94LsbY4bll/8fzwGa/e9b69z0C/LJHhOK8MsHyGmWB0WvbAXg/QSUiyIoFkPILUJqeAv6jUIjSU8BS04KupTMsfEaApVq2aKHI+t12NpagpqZIcXh/Mf46J0Tvfmro0UcVzi4scDgM6OoxoaNb2RMiKKAUf50XwtxCBTeulSI9TQZ1AzXo8tTg0I2Ltr1NYOqsAwaDgcCMtuBHpEBSVAp1c32om+qCyWEp7qOsuASi2EQIn0VDnlQAwz4DQVIJJIUFKE1NRvHLSEgLC6Dt4QVZsQCi9FSwWOqQlhZDJhZCVccIZjPmgK2nj4JHIci6dBYAYDxiLPQ6VFx91doEtSm5ffs2Vq9ejcLCQlhbW4PD4aCwsBAZGRngcDhIT0+Hjo4OwsPDMXbsWPTp0wc5OTkKT5nY2FhERkbi1atXKCoqqp+gcrlcYjAYEAgEGD58OD777DMMHDiwSveT2NhYxUqY4cOH48yZMxXcLhqK8rXImZmZ6NOnT72XLhYWFiImJgZxcXH4+uuvkZKSAg6HAysrKzAYDJSUlCA1NRUAMHv2bBQVFeHChQtgMBgwMTGBr68v+Hw+jh8/DhUVFRgaGiIrKws6OjqIjIyEhYUFkpKSsGrVKvj6+mLq1Kn49ttvceLECTx58gS6uro4efIkJk6ciBX3faGmxcZQ9hP065qFvFw5LKxUkJ8nx+fztDBrXtk1vi2oVtYqsHNgYcGX2nBxY1d5jWcLvQAA1358icjAdLj056HXTHuoabPrJaaykmJkB16GICoccrEYTFU1sHX1oKlhAl1LZ+iYO4GlVv1s/ruEtSFFVVAkx9r/FeLmjVJ8NF4DU6ZpgmdaP9ejE9ntUJwnRm5iMWLuZOHlzSxISmUwmdAdZsPb4cnnRyCI/8dGk+WzUXL/OUpj3kCanQdVWyuURsUBANiGXLB09MDS1ASHawLBq0jotOsAK7MeAMpeVMLcVBQkvkDem2cQ8bPRdsQiaHKtIC4uQMTJspltHc8O4I2eVMFOpaDWH6lUilOnTkEgEGD8+PHQ09OrMl1BQQH09fXrJ6je3t508+ZNSCQSnDhxAvPnzwdQtgba0NAQn376KebOnQs9PT2FX9ru3bsVTu5z587Frl27msUHsS4kJyfj2rVrKC0thaqqKjQ1NaGvr4+zZ8+iU6dOmDVrFoB/Qu9FRkYiIiICXC4XbDZb0Ur+/vvv8fvvv0NbW7tC+RKJBCtWrEBcXBzs7OzQoUMHFBQU4Pz58wgICMCKUF+oabNRKpBgS/8b0FSV4+tl2vj7SilSkmS4cuMfoYuPlSDiuQTGJipISpTip+0CFOTLMWOOJr745h9Xm3IxlYhkWO39N/y+d0eHMWW9jNqKabmQSgoLIIiOQP69W9BycoF+j75Q0dCCbmrl71VUlIfi7EQwVdjQtXSGWJAPmbgUDKYK+CnRkEvFMHbtCaFj1cLbEKKa/UaAS1/cRafOqvhqqTa0tKv2x5XJCEwmqvVPPZHdDrs/ugOOhgpc+vFgbK8NEwdtqLCZOH2wGEnHH8B2di/khsSDH56iyMdQ40C7fzdoeLmAY2UGtbQyp3y5WAwGm12hPu3E6p8/ACC5HAwmEyU5KYj+68ey8pkqsPedDkbXit+jUlCbhnr7of7/ACwWLFgACwsLGBkZIScnB+7u7ti4cSPu3LkDT09PbNiwAUOGDIGOjg4++ugjPHjwAFFRUQCA169fVxs04r8EEWHRokXYs2cPjI2N4enpifHjx2PUqFHYmTgBABB7Lxu5icWQSeW4v/8VRCLC7UfG0NL6RxA6umWgqJCgo8PA1BmaMDBkYvXyQqz5QRfjJmkohPRtDs9+CAYDMPpiLNg6lVfc/FtMxcnpKLnwAKKsDIiz0gEGE5pOrtD17AANO8dqRUBczEfEyTWKzyocdTCYKmCpaUIulUDXygXZUXehqsuF84hFKHHQqLKc9xHVyMB0XFz7Av0XOqHjGKsqhwHu3BLhx02FiI+VQl2Dga+W6mDMhH9sKb+HRIQTi58g6nomLDz0IJcS0qL4UNHgQFZSZqPpEHeUZhdBzVgHzAHDII5PAsvECByLsnX81Y09v0tI/03+m+d4feMIeJ79YejQEWo6Zb7Mb7f6lYLa+FDZKrH6CaqRkRF988034HA4uHDhAsLCwjBy5EhERUXBysoK48ePx4gRI1BcXIz58+fj+vXr6Nq1K5hMJogIFy9eBAAIhcImWcHQEomLi0NMTAxOnDiBu3fvQlVVFR07dsSpU6fAYDAwbdo0aPi9giC7FHsnh1bIa+aiA7/VHjBtq4OxumUh8e7eFmHH5iK8CJdAV48BO3sWvBd2gLWXQbU2SEQy/LwgFjptTWE1yafCuX+LqVwkRurCDTDo2R9qFlZQNTEFU71souDdrSkZwg7+MznlNnYZOFp6YDBVIJOIUJyVgPyECOTGPoLDwJnQNrWvdhigLqIKAF1Yz3Hj1xjE3MnGhG1esHDXq5RmjE4Y0tNk6NM5C9+t1EZSogzHD5dg6gxNLF2pU+XLCAAuro1AUbYI0TcyAQBsPQ1ICkrgtm4UDDvbAqi5hf9v6iqmtaHImqEU1Ebk77//xuDBg2Fqaor09PSGWSmVlpaGs2fPIisrC5cvX8bz588BAEuWLMHWrVsRHx+PwMBA7N+/H+np6UhLSwPw31wpIxAI8PPPP2Pbtm3o0KED7O3t8fPPPwMARowYgVu3boHP5yvSfx3UFxF/p6M4XwxVTRYkpTKQjHD793hoG6tizonuiAxKx5WNUXDqZQxbH0ME/xqLJX/3hbpu1WOo5QRmtAU/Kg2RKy/A6etBMPSpWgSkOfko/CMI0sJCWH42p8K52ooAyWV4fmwVZGIhGAwVsDV1wWRxIBbkQcPQHFo8Wxg5+kBVp+IqnaqE9V2iKpfKUPA8GTl34pB96xU6juShzxwHaOhWFrKs+CLcO/IGUYEZYKurQFwihedwC3T71Ab6ZlW3lMvJTSrGw1OJCD2VArd1flA11IJUIIK2Ew8MJqNRxFQ3XgQA4NvVfh7i8f4va51WSd3Iz8+Hk5MT2Gw20tLSGn7paXBwMIKCgvD7779j2rRp2LBhA+Lj4zFy5Ei4u7uDx+Nh8ODB8PDwaLFhzBqLGzduYOrUqTA2NsbSpUsxZswYyOVyREVFITg4WNH9B4Dp06fjUmIomGwmdEuykBlXBGNbLWjoc8DPKIWVpx5yXgvw+lEeNPU5yEkoVtTDtdHEvHM9wOJUP0b99nhpQXgKXv5wFWYjPCHvPrRS2pR566Dl7Aaj/kOhovHPC/BdIlD+8P8bmUwCkagQMpkIUjcLMFk1C39dRFUvNwzRG65ClasNox72MO7TFmrGOlWOq2bGFmH/p6HoOtkG7UdaYPugYMw+0Q1mLro12lNOda5RQO1bprUR0uru47+pTmSVglo1+fn5yMvLg52dHQDgypUrWLx4Mfr164c9e/bUmO/58+e4ceMGgoKCkJWVhfj4eABo+Ij9ffr0QZ8+fbB+/XrFsQ0bNiAxMRERERG1DkRx48YNjBgxApcuXYK3tzeCgoJgYGCAnj17Nmtwj/py48YNTJgwAceOHasQq5TJZMLNzQ1ubm4QiURgs9lwdHREnz59oOtkCg0rA7x5UYxRS9uCxWFCkCeGlgEHTy+mIulZAVz786Bvrg5NQ1UkhuXDxEEb3T+1rdaOqkRAz8MC7X+ahIczj0ErkwW2sSGYWhpQb9cWnAQWGCwWdDt0qbWYvksAVFTY0ND4/5ZoohxAza0u7USqJKqqSZwqRTXubAwsRnvBcnzHCscDM9pWEtWHpxPhMdgMfWY7AAC4tlooFUgrpJHLCFKxHBz1ii+nxhbT2orov/PUpeX6X0QikWDjxo3YsWMHpFIpmEwmvv76a0RHR+PYsWMAyoK7lyOXy1FcXAxtbW08ffoUO3bswF9//YW2bduiT58+WLdunWIOqV+/ftXW22BboLi5uSEyMhJMJhOjR4+Gi4sLbG1tMW3atCrFtbi4GD///DO+++47AMC9e/fw2WefITExEe3atUNycjK6du2q2FfJ29sbnTp1Qvv27VtE1KDqmDdvHg4fPlxj4GdVVVXMmfNPl9p7z2QAQMyOIIQ+U4XNp90UouDcl4e4kGy8vJmJ1w/z8Nl+H3T4yAp5KSXYNzUUncZbod0Q8wrl1yQC6UIb8FbMQdG1eyh99QaStCzwTwZCRV0DqsamUDOzVKStTgjqIwL/zv++oqpipI/cbBVYvnWMZHIwVJiK6y+/hx3HWOHI3EdQ02ZhwKK2MHHUxqmvwuA53BxJz/KR/LxAUQZHQwXf3RqAW/zqg2zUZfFDQ4vpv/MqhRWIj49HamoqHBwcYGpqivj4eIwdOxYmJiZ48uQJ2rRpg8ePH6N79+4Qi8XQ0tKCtbU1srOzMXHiRKipqSEgIAB8Pl/h6D937lzs3LmzWvep6mgwQd25cyf27dsHPz8/ZGVlITc3FzNmzEBwcDAiIiIwceJEPH36FN9++y28vLzg5+eHoKAgWFhYICUlBdeuXcOkSZMwcuRI+Pj4IC0tDSEhIYrwZg8fPsSWLVvA4/GwfPly9O3bt8VNdNH/h4u7ceMGPD0967SPUGlmIXLvx8P6kzJn7bdbWvZduTC208Yuv1sIPfYGFm56OLf8Odr2NsHVH6LAUVNBikvvd9ZRLgRsY0MYfDJCYbMsOAHyUiE0bOwVaRtLTP9dTlWCwHycCL56AcBgQMvZHQwGo5KocixNURR8H2/e9IalSSaSTz5E8pnHsJrYCW2mlK2AKxdWg8hAsDhM6JuXjZWO29QecSHZODTrIQBATYcFNW02SA5otLfHzXwXMKrpHLUEMf13OR+6qEokEuzatQvnz59HZmYmMjMzIRKJoKOjA01NTQiFQujo6CA+Ph7z5s3DsWPHFPFezczMIJPJEBgYCB0dHSxbtgxpaWm4cuUKwsPD4eDgAD09PSxbtgz6+vo4ffo0Pv3000o7adSWRg3ft2LFCpSUlOD+/fsQiUQICwvDoUOH8ODBA+zbtw8WFhaYMGECli1bVsl3sypkMhlOnTqFnTt34unTp2AymdDW1sahQ4cwdGjlMcHm4OLFizh+/Dg4HA62bt0KLS2td345va9/BVFOESK/vwi2jjrc1vqBoVL5ic59+AYlf90CP12IrlNsUNh7EIpiMhGx7DycvvKFYWe7autoCCFoKBH4N28LQmFqDN7cOg6psGz5J3fQSOh37aU4Xy6qcpEY2bv+gCg+CZDJoN/eEhwDTWT8/QIdfv8UmtZlQw3i/GI8nHoAbb8dBKNuDhjAe4m85BJEBKTh9v54iARS9ApaUis767ost6nv4/XgpY1SbnNy8+ZNzJs3DxYWFvj2229hYWEBExMTqKmpobCwEIWFhbCwsIBcLsfOnTsV4TnbtGkDOzs7zJkzB0+ePIGFhQUOHz6M27dv45NPPsFff/2FESNG1MumZo2HWlhYiK1btypiF2ppaeGjjz7C4cOHAQBTpkxR/F8XymMj3r59G1OmTMH27dvxySefvJetDUVhYSHatWsHPp+vCG48ceJEzJkzp8rVY72vfwWgrMv67MtTMB/pCeO+zrWuj/8iFc8Wn0TX83Nr5WdaTmOJKSc6WfG/2NmyhpT/UC6q8dcPQdvUHpKSQuTFh0EsyIfjmu0V0r7dUpUVFaPgzN8Q3HkMEIGtrwF1ni7a/Tge0iIRsm6+RP7jRLivH1WWXijBw08PQMfVDLkhcTDq7gCXFcPeaV9DiGlj38MPSVAzMzPx1Vdf4datW/jxxx8xevToOg31ERH69+8PsViMHTt2oH379mAymcjOzsZnn30GS0tL/Prrr/Wyrcm3kS5fpjllypQKx7/66ivMmTMHtra2mD59Oqytreu9dQKLxQKLxVLsNtq3b18YGRlVuzS2KSnvfjCZTAiFQoSEhGDnzp1Yv349evfujREjRkBXVxdcLhc+Pj5ISOHCipeB7FsxEKbmQ92iep/SqlC30AdTjY3wr8+gzbTu0GlrCrZumbA2hZi+/fBXd+5doqATV4pMg3yo65siOfRPOA1bgIzn1wEAMmEJVNT/aeW/3f1X0daEMDIWhjPHIXfvKUjySyDJL8GrTX8j98FrsLRU4bJyuCKvKFcAEMF15XBI+CVQUa8+6Es51d3D6qivmFZ3H/99vLYC2xqRy+XYu3cv/ve//+Gzzz5DVFRUvZaXh4aGIj09HRERERVWap4+fRrBwcHYuXNnQ5qtoMEF9cCBA5g+fbri85w5c+Dt7Y3u3btXCJTSo0ePBquTiDB//nzMnDkTc+fOVWyT25yUeyioq6ujX79+6NevH1JSUuDv74/Lly+juLgYQUFBePjwIUqevMCdn45C1d4Krmv8oO1Yt60kOHoa6H5xAXLuxCDx6H2UJObCsKsd1D+ZWmX6miJH/Zv3EdOq0lUlBsXFWYiNv4ri4kxIqKy+V5d/gkWnERAJ8pByeA94oyZA1cSsyrLV2tqiKLBsR1mmhjogFaMgPBltPusGuVCC13tvQ5iaDzWeLopiMqHjbAqSE9i67x4nq0lM6+se9W9qew/fTv+hiuqQIUMQEBCAKVOmYPr06Th37hy6d+8OfX19HDt2DPPmzauV909OTg4sLCwqiOmvv/6K+fPnY8GCBZgxY0aj2N/gXf7nz5/j6tWr6NevHzp06NAkrk8cDkfhJvHzzz9j8eLF+Oqrrxq93velQ4cO2Lx5M6ZG3EDqd1th8tV0qNpbVbsaqLbIxVLcn3ECDDVVGH/xKVS0Ky6qqK0QNJSYVsXbgnA3ZCN4Ju1ha9MfYfHHoKprjPzXYZCWFsNz8npkRd5BbmYkzD+ZCZZmWWtFEB2BgjdPIUlJhyQlE1o9O4BlZADB/WdQa2sLRsobCNP5MOnnDP1ONlAz1kbB0yTouJlD26F2L6y6iilQ9/vYUPcQ+DC6/FlZWYiMjMTXX3+NqKgoDB8+HDdu3IC7uzuCg4MRHBxcq1CieXl5aNOmDXJzcyEQCODv74/58+fj5MmT6NWr13sFbmrSLn+7du3Qrl27hi62Rv766y8MGTIE58+fh7+/P3x8fPDq1asK+7C3RObMmYNvv/0W+GwINLu2hzAyBqr2VkhI4b6XqCZlmYK3aj4y1uyGKC4RGu1dFOcaolX1PiLwb+RyGThsLXDYmkhLewRhVgpkYiGkpcWwGzAdKhw18Nr1Q+GjDLzetBKWMxeCpFJkXTkPg96+QM8OUNHSANuCBwaTCd0RfRVlW5tnVRj+0WxjVGu7WrqYluf/0Fqq5aE5Hz9+DJlMBhUVFfz9998YNmwY/Pz8cOXKlVoJqoGBARwdHRXDbbm5ufjpp5/g6+vbqPY3yhhqUzN48GDcuXMHERERcHd3x7Vr19CzZ08sWrSoxex2WRXTpk1DREQEfl72I0gqg8k3/3RD6iuqLwMLIbh3EyVPIkHCUoiTMxSC2hBd/YYS03IxEIuLQCRDUvId6OvbwsNtMp48LVu9UpAQDk2uFUSFOdDXtoEAz8B/fB/FMVEwHj4G2i4e1a6kAoDEVON63cO6jpkCzfdS+hBFtZzy7vqBAwdgaGgIkUiExMTEWucfOXIkevfuDQcHBzx48AD6+vqNZaqCD0JQgbItnbt37w4ACAoKAhHB3d0dqqqq2LhxI+bPnw82u+alj00Ng8HAjh07cNqQwOCwwea9+0EmImQGRiH98nNIBSJI+EKometDqs2FvKCwLP6mvTVIWAoA4FjyQGIJGJyWde3A/4uKsyV8Oi1WHCsoSFD8nxv7CHmvn0NN1whyqRQMDgdsQyNYfDYXqsb/RHOqSVTLxbG2wvouMW3I8WcltSMkJASzZ89GXFwcAgICEBMTo4i9XBMLFy6Evr4+pk+fDnX1yt4vjUHrW9tZCxYuXFjWlQYgEonw5ZdfwtzcHHfu3Glmy6qGY2VWpZgmpHArPOD5z5Jwe8B2vNr8Nwqj0lGSlAcJX4iiqDTIsnKhO7Q3DKb4oTQqTtH1zd55BEmz/gfBvaq3B6lLN7Uhu/rVoalpDBvrfjB26wUTt14gmRjCvDSo6RrCpvsEGPbsrxDTulCbVmd9Wqb1oaHvY1N8L81FamoqhEIhhEIhLl68CIFAgFWrVtUqr66uLubPn99kYgp8oIJqYGCAH374AYWFhYolntnZ2Rg5cmQzW1Y/ElK4eHEiEeFfnQEAtPmsG9zWlflVGs4cD97/5sJo1niouTkge8dhyAUlYPG4MPp8Aoy/mgYAKDh2pdq9spqTf4sBm60BTS0TZL24hfw34dC3bQ/XMd/B3ncG9G2qHpuvS6uxOuoipiSTVfjcGOH46sqHKKpisRiLFi3C6NGjkZeXB4FAgAMHDmDBggXNbVq1fDBd/qrQ1tbG7t27cf/+fWhqaiI0NPTdmVog/Ku3UHDaH2wrU3TeMw5MDguyUgnAZkFw+yG0+3SGip4UuYfOQ7t/V8gKBRCGv0TJ/eeKMkgmA+RyoIXvngAARobOcHL0Q5ogEuKiPLDV67fNzb95e1y6JgGV5vMhuPUIHGszqHs4gSRSFN8NgzQyDYVPHwEArOd/U2NLmRWejIScSGTnREOVowVNTR7sbH0/SOFrLD7//HNIJBL8/PPPmD17NgDg4MGDCAwMbGbLqueDFlSgbJyyT58+MDY2xo0bN5rbnHqh4eUKThtzqDnbISmLAR4nHqUZhWBqqEH06g1Er94o0mr6tFOs0xcP7gmwWCgNfwUNVUsw/iWmLaFlVRVMpgrMzTpB07Y7ku6dRcqDS7DuMa7W+YtuPURRUCj0Jw6Fuot9hXPvaonKBCXI3nEYYDLBvxAEAND27Yaia/fA4JS1hA169geHW7XrlUxcitQnV1EQ+xQmxu1gbtYJ2dkvkJh0E3a2jTvD/KFARFizZg1u3bqF8PBwqKqqKmIHCwSCZrauZj54QQXKRJWIWtykVG1h84zA5hlBVlyCkkcvkHjovOIcQ1MdVCwEAOgM6gkNHw/FOY51WRQqjrlJg3SLmxoGgwENI0sUZ9c8syvOzYYg5TXU2zmBwWIh72DZ/cnavB+G08dAq0eVLoOVkBUKkLJwHTS7ecFwxljwzweCf+kGiv+/pU/i/5/8+v8dKaryHnlz8xhILkP7dtNRXJKNyKiT0NOzgYV51VuWK6mISCTCzJkz8fLlS4SEhChWSd2+fRtAmWfMpUuX4O7ujjZt2jSjpVXznxDUqKgoTJs2rbnNqDcklSJnzykIX8RA3dUejkt8EbPtGsBiQbtXJ2h28wLbzLjFuoe9i5KSHLx+E4iSkmxwONpgMlngcLQhTmOgODcFhnbeirRysRhFkc8hyckCS0cXoqwMFEU8BbuNKfIOnoP5tu+g5uYIaU4+tLp7Iff3s5ALSqDV2wdM9ZqduYuCH0DVwRqGM8aCwWBA7yNfqBjqgsFkQsOnHVRTOMi6ch55d65DEPkcZhM/A8fIuEIZGkYWKEqLg5aWKQTFZVumONgNgba2eVVVKgHw9OlTFBUVQVdXF4sXL4a+vj5u3rwJDQ0NlJaWYvv27SgtLUVoaCgWLVqEhw8fYtGiRdixY0dzm16JD15QiQg3btxQ7MTaGil5/AIljyNgvmMZ7N1EICJoWOgjS2oNNrdu6/7fpsj63ftENQVJyXeRlxcLT8/pkIgFkMulEIkLUcpVhRbPBgZ2/+z1VPDgLvhhD6Dj4QVRZjqYqmrgffQx0o7th2pbW+T+fhZGs8ej4LQ/SiPjoDduMETxyeBfuQmtPj5oN68dmCyVyntplZSCf+kGzDcuUbyY5CWlYBnpQy4UQZKaCTWWLXh+E8Ad5IfcG/5I/v1n8EZPgjbnnyXV3LZdkBV1F4WFyeCZeEIsKsKjJ7+AZ9IeNjb90Pr6CY1HTk4OZs6cifv370NVVRVyuRwLFizAl19+qfBB3bNnD86dO4fi4mIcP34cycnJGD58eI3xhpuTD15QGQwGvL298erVK5iZVb0WvCVCRMj74y8IbtxXHGOFBQNuXcFgMKDrbgFdyJCQUkMhrQRdXSuIJQLo/KsV93ZYP7EgH7mxj5Efcw9c32HQ8fwnUn/e3bKxcc0e3pAkpiF9+Q5odHQHy8QIBaf9oWKoB6NZ41Fw5AyynFXB83VFG4tsSEvEKIxOA0OFiTyWIyCVIfXrzdAZ1BNysRgl95+BbWkKppYGJCkZyGWzoW3vAZaWNlg6emCqa0CUkQZY/SOobA0d2PSciGd3/oC3+3RYWfVAStp9ZGSGISc3Gl18lkAzLreR72jLoLi4GM+fP0eXLl2q7D1NmTIFbDYbYWFh1cYOlsvlePbsGaytraGpqYmtW7di0qRJjW16vfngBRUoW9fbEl2GqoOIkH/yikJMzUe1h/lob6jxdCqlbWORXSuXH5GVuEWOo4qdLcHJK4VYXHGy4W0xlYlLERuwD2p6JjAd8wk0bB0qpC2ILos3IYpLgtHUUdDs6oXikDAU338GnUE9Ufj3bWRtPwgAEKYWAADeHLiLpOMPygpgMgD5P78PppY6GHJVmK7/Aiz9sn2nSC6HKCYB4juxEKWngsFmw7Bnf2i7t0eRSsWWvq6VC7jOXfHg0U54ec6CuVknxL8OgFQqhFgsQGNsV9nSVkudOHECCxYsQG5uLrZu3Qpzc3M4OzujXbt2ePXqFdatW4fHjx/j4cOHNQZiZ7FY6Ny5MxITEzFhwoQmX9ZeV/4Tgjpx4kQcPHgQffv2fXfiZkYY/krx8LeZ1h3W/9r2uSpqK6pVUVW3n2+nWqVzv9jZslHcfpKT78KYW/2WI/lvnkFFVR3cz6ZW2dJRc2gDQXIGmP/fTVRtYw7VNubQ7OqFjO9/AgDotbeCSX9nxO68DkMfG5RmlM0at106BOJcAV7vvY2Ohz5DhrBNlWOtDCYTam1toatR/fYybyMtFcDI0BlaWqZgqrABBMDDfSo0NY0hdm5Yv9GWJKYBAQFYtWoVMjIyMGbMGPz222/43//+h759++LKlSvw9/fHpk2bEBISgrS0NBgaGtZYnlQqhZOTE/h8PrKysproKurPB+nY/29mzJiBW7du4cCBA81tyjspF1MAsJrYqdb52lhkv3eUqqamXAgYDAb4/CTF8QqtU4kIefFPoaqlX6WYiqzE0B3cE/qfjIDO0N4AgOw9J5C++mdkbi4bN+cYasL1+xHgDXSD8/KhiFp7GeZ+7QEAkoISaNpxoaLOBkdfE7YOhTXaXNMy17fJi38K3fadoaLCgY62OSzMu6Cg4M27M7Zyrl27hgcPHmDbtm2QSCTw8PBAVFQUfvnlFwDAoUOHsG3bNpibm+PatWvVlkNEuHfvHrZu3Qq5XA51dXXF0vKWzH+ihWpmZoYzZ85g6NCh8PPzg4FB/SdyGhvdkf3A/+s6vH79pF6z9jW1VuvS7W/sVurbrao21n3x5OkePHr8M3R0LGBg4ou8N88AIuTFPwVLTQs6QweC//QRJPm5kBULQBIJpEWFEPGzwDLShyQ5HflHL0Krjw+opBTiN2WDy1qOJvDYNAYszTKRNupmj8QjIXi68AQAQMPKEHoeljDobIvojVfB7e4AQzsuXgfnQq2tLThWpigKfgC5oASaXdqDzas6YtW/W/pm3oOQFHIO+aom0NIyRW5eDAwN/ll/3hj3sSWwceNGqKioYMyYMeDxeMjIyMD8+fNx8eJFrFu3DitWrICVlRXOnDmDwYMHY8yYMZXcGXfs2IGtW7dCJpPh119/xa1bt+Dn59ekS0jrS6NvgdKSWLhwIRISEnDu3LkW5ZPa5vAmxf8kliBl/mp0OjIdqkb1XyHUUIGRmyKWp0wmRl5eHJhMFTyPKNsOh6WuDTVdLpgsVaiwVcHPjIWGjT04XJOymKgqKpDxmFC1sYAkPQsca3OkLd8OVXtrmHw1Hebaici+EwstexPotK24oknwOhuvtvwNjoEmDDrZgK2rAb32Vkg9H4aimAzwn6fAqJs9cp6kQC4oBlNLE/JCAXQG9YD+hLK9y2oTwk8ulSD/zXMwk3OgqqoLQwMncDgVR1A/1HioO3fuxNq1azF//nyMGjVKMfZpZWWFefPm4ZtvvoG+vj7i4+Ohp6eHc+fO4cWLFygsLMTRo0exe/du9O3bF1wuFy4uLti2bRsGDx7czFdVRrPuKdWSEIvF8PX1hZWVFRYtWgQvL68W4btZLqiStCxIg66iMDodHfZOhYr6+4l+U+yDVFdBqKlFJRIVIvTxDui3cYOkpBASoQBgMKDTvRs0bB3B1v+nZ1FV1zvn97NgqDDhvaJ2u0E8nnEYxQk5AACHRf1hNrzsoS932r/Vf5sirXp7Z6h7ukC71z/eBc35YqrqPrYUQY2JiYGTkxP27dtXKTK+n58fEhMTUVBQABMTE/zxxx/48ssv4e/vDw6HA6FQiF9++QUpKSlISUlBZGQkhEIhQkNDoaNTeVK2OVAK6lu8evUKO3bswB9//IGuXbvixIkT7xwYb2ysD/0A2aUzSL8aDutPuoA30BUc/YaZC27uPaXKqUlIieRISb2PhPQ74LbtClPP/opzRdZVv/CqEtTEacvA7W4Phy8GgKWpCgbz3S9LabEIJJWDpaNW6eVa+DIDouwiFKg5IGP9rzD9fgFYRhVjajbU7gfA+9/HliKoRIQ//vgDK1asQHx8fIXe4IULFxASEoIJEybg8ePH+Pzzzyvl5/F46NOnj6Lx06tXrwpbmTQ3SkGtguLiYixYsAAsFgt79+6tdilhY5ORkYG2AztCLpLCfcNoxeZ6DUlL3/X09ZtAZAtfw7LzKGhyK6avSlCrmxgyYcYifs9N5D9OBJiAXjsrWE3sBF23Mv9WIkLCwXtIvfAUKupscHs4wmSgK7TsjGsU3/g9N1Eo0IT+hCGVzil3Pa2ewYMHo1OnTli9enWV583MzKCjo4PU1FQIBAL06tULc+bMgba2NgYPHtwieo9VoRTUasjIyICLiwv27duHMWPGYPTo0Th48GCTdi26du2KVBs52kztCoZKzU4XA3gvKx0LzKidG09Ti2ptkculuPtoC5yGzIWaXsVlnHUR07c9HEgmh7REjOybr5B4NBQWo71h0NkWJJUh6puTmH+uB0oFUtw99BpR9wogF8ugaqwNfS9raNpykXU9GqIcAViaHJgOa4eXG6/Ce+8U5HBcqqy7LqIKNF7g6ZYmqGlpafDw8MDt27fh4lL53gUHB6Nv374wMzNDZGQkdHV1W6yIvk2TbyPdWuDxeJg1axbWrFkDDQ0NJCUl4fTp0++1I6JYLEZ0dDR4PB40NDSQnp6OWbNmgc1mg4hgbW2NQYMGgYgwevRoPHz4EF1WzKtSTKsS0OrSvEtYq5v9r2rmv7olqdXN/L8PfBs2ZPdKwdGu6HlRXzEFAIYKE2xtNZgNbwdVrjY0X4QhetlDAICZiy50eerQBfDRunbwk8qRl1yCknwxYkOy8fxaFri9HMHWVUfqX8+QfTsGDov6Q8uWCy3U7h4KkxPAfxyKQrkOTNx7g6VacXfVhr6Pb7uZtSRevXqF3Nzcamfnu3XrhtWrV2PQoEHQ09NrWuMaif+0oALAsmXLcOzYMZSUlCA/Px/Lly/HuHHj6txKJSL8+eefmDVrFoyNjZGamgoWiwU2m43MzEz4+/uDwWDgypUr2Lp1K3JycpCRkYHu3bsjKyQexn1q19KsjgG8l7VurbYU5HIZ0p/dBEdTt9HqMOxsiwF+Ygz51gWJT/Nh2U6vwnkVFhNcGy3ABrD2MgC9dQ8jV12E5YROyPCPAIPFhOlg91rVmXv9b5S8jkGpMQ9yiRiWXfwa8IpaD127doW5uTmePn0KGxubSuc5HA5WrlzZDJY1IkRU7Z+3tzf9F4iKiiIAir/OnTvTs2fPap0/Pz+funfvTs7OzhQaGlqh3CNHjtDDhw8r5bl16xa5uLjQX3/9RR06dGiQ62gtyGQy+uGHH6hdu3bk6+tLqampzW1SlfTv31/xmxgzZkyt8x07doy6du1KKSkpZGJiQvv27aOSkpJGtLRlcvLkSVJRUaHExMTmNqVBAfCYqtFMpaASUXBwMAEgNzc3YrFY5OXlRS4uLhQXF1er/L/88guNHDmSZDJZret88+YNGRoaUkJCAhkZGdH58+fJy8uLZs2aVd/LaDXs2rWLPD09KSAggCQSSXObUy1CoZAAkL29PRkbG9PNmzdrlU8sFlOPHj1o8ODBFBgYSP369aN27drRH3/8QfPmzSNnZ2d68OBBI1vfvJT/rm/fvt3cpjQ4SkGtBc+fP6e+ffsSALK2tqZx48aRl5cXicXid+bdvXs3TZgwoc51fv311zRo0CDy8PCgYcOGEYPBIAAkl8vrcwmtgt9//53atGlDL168aG5TasUvv/xCffv2pQsXLpCDgwMVFBTUKl9JSQlxuVwCQFeuXKFjx47R6NGjFS3ejh070q+//kr3798nPp9PIpGIMjIyKDk5mZ4+fVqnHlJLQy6X09ChQ2nNmjWUm5vb3OY0ODUJ6n9iLX9t8PDwwPXr12Fra4vExEQYGxtDS0sLQ4YMgVAorDFvfHx8lWNE72L16tUQiURITU3F9u3bQUT4/fffW8VMZ30Qi8XYt28fNm3aBFfX6oOhtCRmzpyJvLw8ZGVlwcXFBVu3bq1VPnV1dfTu3RsAcOTIEXTp0gXm5uZgscqmLUaOHIlHjx5hzpw5MDU1hZaWFtzd3dGpUydMmTIFvr6+OHz4cGNdVqNBRFi7di0yMzNRVFQEQ0NDxMfHN7dZTUd1Skv/sRZqOf7+/opWxNmzZ+njjz8mLy8vys/PrzZPr169KCgoqE71iEQiiouLo0ePHlFycjIVFhYSAJo3b957XkHLZe7cudS/f/9WN54YHh5OAOjevXtkZmZGa9eurVU+sVhMkyZNUvR6fH19qaCggCZPnkxWVlY0d+5cKi0tJZlMVmm46MmTJ6Svr0/r1q1r0cMibxMXF0e+vr7k7e1NFy5cIHV1dQJAhYWFzW1ag4Lm7vIHBga2qm5sRkYGAaCNGzeSXC6nhQsX0sCBA6u9BldXV3r69Gmty//pp58qTIIBoP79+9OcOXMoISGhga6iZcHn8wlAq+wCSiQSsrCwoJUrV1JaWhrp6+tTdnZ2vcuTy+UUERFBQ4YMoY8++qjadDExMeTk5FSnCbHqyMvLoxMnThAA+uKLL967vHKioqJo5MiR5OXlRQYGBrRp0yaSSCR04cIFAkAff/xxg9XVUmh2QR04cCAtWLCA+vbtS2fPniWpVNog5TYmQqFQ8b9EIiFLS0u6detWlWkHDRpEe/furfLc1atXacaMGTRs2DAaO3YspaenEwBSU1OjxYsXk4uLC2loaBAAUlVVJQcHB9qzZ0+F+j8E5s+f36ofrvT0dLK1taWgoCBycXGhJ0+evHeZq1atovbt29eYZu/evQSAIiIiaP/+/XTt2rU61XH37l3y9vZWvLiHDBlCXC63zi9uqVRKO3bsIAcHB+rYsSPNnj2bOnXqRIaGhjRkyBAKCgqq0IuTSCTUu3dvioiIqFM9rYFmF1QiohcvXpCfnx8BoG+++YZKS0sbrOymAAAdPny4ynOXL18mV1dXKioqqnA8JiaG9PT0aNeuXbRy5UoCUOWkRmlpKR05cqRSq/WPP/6g27dvU0BAAMXGxjbKdTUVa9euJR8fn+Y2470YMmQI7d27l1avXk2dOnWi5OTkepf1zTffkJaWFr1+/fqdabdv3048Ho/atWtHgwcPrnUdeXl5NGHCBJo6dSqlpaUpjs+YMYM+/fRTEggEtSpHKpXSqFGjqEePHnTz5k3F7zMgIIBEIlGt7flQaBGCWs6MGTMIAP3yyy8NXnZjMmTIEBoxYkSVPnVyuZzGjBlDCxcuJD6fT0REycnJtHjxYho9ejQREc2bN48WLlxYYx2//PILASBfX1/q0qULderUiQCQp6cncTgcMjAwoGfPnpFUKq2Ti1ZLoLS0lDQ0NFrNeGBVLFmyhNasWUMSiYSWL19Obm5u9RrKio2NJQD06NGjOuW7efMmdevWrVZpr127RgYGBvTpp59WeokXFhYSl8ulSZMm1aqsY8eOkY+PD4lEIho/fjw5OTkRgGp7bOXI5fJWNdRXW1qUoEZERNAPP/xAxcXFDV52YyIQCGj58uVkYmJCX3zxBYWHh1c4n5qaSv379yd1dXUyNDQkIyMjmjhxIiUmJlJkZCQBoMuXL1dbfvm4LQD68ccfafr06YrPTCZT8b+rq6vi/7o+kM2NmZkZJSUlNbcZ9eb+/fukr69PV65cIblcTm5ubnT8+PE6lXH69GnS1NSkuXPn1rl1l5ycTEZGRu8UqUuXLhGXy6U7d+7UWBaXy6WYmJh31nv37l0yNTWljIwMGj58OAGgiRMn1phHJpORjY0NAaCtW7e+s47WRIsS1NZOWFgYLVu2jAwNDWn69Onk7+9fwVf1xYsXlJSUVOFH/+jRo3f6l8pkMtq+fTv16tWLzp49SxkZGXTixAk6evQo9e/fn86cOUOvXr2irKws2rJlC23ZsqXSEENLpqSkhLS1tVvlpNTbBAcHk4WFBYlEInr48CFpaWm906e2oKCAjh49SkOGDCEtLa336p1ZWlrWOPyzcuVKMjMzo5CQkHeWNWHCBDp48CC9evWK9u3bV2PaZcuW0aBBg6iwsJASExPfKerR0dHUpk0bWrp0KQ0dOvSdtrQmlILaCGRmZtKGDRuoc+fOZGVlRfPmzaPRo0eTtbU1zZ8/v4LYjRgxggDQ/Pnzyc/Pj8aNG0eBgYHNaH3TExISQo6Ojs1tRoPQpUsXOnLkCBERffHFF/Tdd99Vm1YgEJCtrS0NGDCAdu3aRdHR0e9V95gxY+i3336rdDwkJIR69OhBhoaG9OrVq1qV5eTkRJ06dSJdXV0CUKNQi8ViGjlyJPn4+NTK7a1z584EgPr06UNLliyplT2tBaWgNjLPnz+ndevW0a+//kpRUVH0ySefUNeuXSknJ4eIiAICAmjx4sW0adMm2r9/v2Ks9M8//2xew5uIoqIi0tTUpO+//765TWkQ7t+/T6ampvT111/T1KlTqXPnzpXShIWF0ahRo0hXV5fGjRvXYJ4t9+7dIx6PV6mlP3bsWFqyZEmdJnufPHlCGzZsoLi4OBo5ciSdPn26xvRyuZxGjRpF27Zte2fZS5cuVQxNhYeHf1BjqUpBbWJkMhl98803pKenR7169aLffvuNLly4QOnp6Yo0HTt2pL/++qsZrWw6xGIxWVtb06ZNm5rblAYjKyuL+vXrR87OzmRra0tEZUK7Z88e8vT0JD09Pdq9ezdlZmY2eN2jR4+u5HEyb948+vHHH+td5saNG2nWrFkUGxtLBw4cqNYD4MyZMzRkyJB3lpeamlrBY8XMzOyD8QioSVCVS08bASaTiU2bNiE6Ohpz5sxBUFAQ/Pz8YGpqCplMBgCIjY1VbFxWE+np6di1axcSExNRXFzc2KY3Cmw2G1988QVevnx3fNfWApfLxcWLF6Grq4vXr1+jQ4cOGDJkCB48eIDly5cjKSkJc+bMgVwub/C6u3Xrhlu3blU6/q4l0jUxdepUHDhwALt27cK0adPQvXt3hIeHV0pnY2ODtLS0d5anpVVxg8m0tDT07dsXycnvv9Nri6Y6pSVlC7VByc7Opg4dOtDMmTMpKyuLAFQbeEUmk9HJkydpzZo1Fd7yPB6v2ohHxcXFtQrk0lxERUWRqqoq7d69u9W5fNXE0aNHCQCdOHGC8vLyKCsriw4fPkzz5s0jT0/PRlkdlpmZSYaGhhWc5h0cHOj58+f1LlMikZC2tjaZm5vT2rVracuWLWRubl5hgYlcLqeNGzfSoEGDaixLLpfTkSNH6Nq1a8Tj8UhbW5vatm1LAGjatGn1trGlAGWXv2WQk5NDAGj79u2kpaVV7QOwYsUKatu2LU2ePJnWr19PAGj8+PG0efNmAkDu7u7Uo0cPmjZtGqmqqioEd/HixU18RXXj/v375OHhUeu18K0BgUBAAwcOJDc3N+JyuaSpqUl+fn60detWOn/+fI0vzvdh8+bNNHXqVCIievXqFQGolQtUdcjlcgJADAZD4Ss8btw4cnZ2plOnTlFmZib17t2bPDw83jmx9ttvvykmudzd3Ss0Cj799NN629hSUApqC6I8RKCpqSkNGjSI1q9fT1OmTCEA1LdvX/L39ycOh6PwIfz1118JAJ05c4aIyh6ep0+f0sGDB2nhwoX05MkT6t+/PzGZTJo8eXJzXlqtePHiBVlZWdHBgweb25QGQygUkr+/PyUnJ1eYfDl16lSdVjbVhbS0NNLT06OcnBzS0NAgAwMD4vF49Q48Ux5rQU1NTRHwWywW06FDhwgAtW3blpYuXfrOhRl//PEHAaAOHTqQTCajU6dOEQDicDhkaGj4QQRLUQpqC0Iul1NSUhIBIDabTVwul7S0tIjBYJCenh516dKFfvvtN0W3mM/n09atW9+5TPDFixcEgIYPH04ZGRlNcSn15t69e+Tg4PBBzfxWxcCBA+nAgQONVv748eMVO0xoaWlR165dac2aNfUqKzAwkACQh4cHffnll4rjubm5pK+vT/v373/n9yWTyRSuUuVeDVFRUWRiYqKYmAJA169fr5eNLQWloLZAEhMTaefOnYqu0N9//022trb0+PHjepdZWlpKCxcuJBsbm1qv024OpFIpderUiSZMmPDBbY9RTlhYGJmZmTVqkJvS0lL68ccfKS8vj3R0dOjcuXPk6elZr7Jyc3PJ2tqaAJC+vn6dw1ESlbkPbty4scIY+YABAxS/8a+//poAvHMRQUtHKagtGD6fr4j8s2XLlncu6atNeUOHDiUPDw+aPHkyjRs3jn788ccWFxawsLCQvvvuOzI3N39nBKWioiI6dOgQDRs2jKysrIjL5VKfPn0oLy+viaytG3K5nPr160c//fRTk9U5bNgw4vF4df79JCQkUFxcnMKlady4cWRqakqWlpa0atWqOpXTpk0b0tXVpenTpyt6STdv3qRHjx5R165dFcL6PpNnLQGloLYS9u/fT35+fu9djlwup3PnztEPP/xAhw8fpunTp5OhoaFidU9L4u+//yYzMzNaunQpBQYG0syZM8nR0ZGMjIyoS5cuNG3aNOLxeDRs2DA6fvw4xcfHU0ZGBk2ZMoVmz55NDx8+pF27dtVqqWVTsX//fnJ3d2/SQDDp6el048aNOk+AlY9rampq0pUrV+jw4cPk6+tLGRkZZG9vT/7+/u8s4+rVq8TlcmnHjh0UFxdHAKh79+4V0qSlpdGSJUtafXefSCmorYatW7eStbV1o5QdERFBTCaTLly40Cjlvw/Jyck0Y8YM6tSpE61fv54iIiIoLS2Nrl+/Tjt37qwypmZWVhZ16NCB7OzsyNzcnAwMDOjly5fNYH1FQkJCyMjIiKKioprblFpx4cIFMjExoc2bN5ORkREdPnyYNDQ0KCkpib788kvauHFjjfkfPHhAhoaGihfamjVriMFgVLnT74eCUlBbAbGxsdS2bVtasWJFo9Vx4sSJRpt1bm6+/PJLmj17drPaEBoaSiYmJjVGFWuJ+Pv7k6GhIZ06dYosLS1p4MCB1KNHD/r2229p3LhxldLL5XKKiooiFxcX0tLSoosXLyrOdezY8Z1jpK19MlIpqC0cqVRKjo6O1KVLl0btJhYWFhKLxaKzZ882Wh3NxaxZs5ptaatYLKY1a9YQl8utIC6tif3795ORkRFdvXqV3NzciMPhkKamJgGoEAQ7JiaGeDwe8Xg8WrRoUaXf6969e8nS0pIKCwvp9u3bFBoaSnl5efTq1SsaO3YsZWVl0cCBAwnAewXobk5qElRWw625UlJf/Pz8IBAIcPHiRcWumI2BqqoqeDweIiIi4OfnBxUVlUarq6mJiIjAgAEDmrxePp8PPz8/sNlshIWFwcLCosltaAimT5+OmJgYBAUFISIiAs+fP0ePHj3g6+sLHR0dRbrz589jxIgRmD17Ntzd3Sv9XjMyMpCcnIyZM2fi1KlTler57bffkJWVBQC4ffs2Jk2a1LgX1tRUp7SkbKE2CS9fviQ9PT3Kyspq9LqKi4vJ09OT9PX1Cf+/w+q1a9daxR5fNZGTk0O6urpNcg/fRiwWU+/evenzzz9v9feQiOj169dkamqq6MFs2LCBeDxehTS7d++uNtK/TCajdu3a0Y0bNxQz+u3btycA1K1bN0V4wPIWalJSEh07doymTp1Krq6uNHfu3Fbh9A9ll7/lsnLlSvLy8mrSGeHY2Fiys7OjDRs2kLe3N1lYWCi2VmmNxMTEkL6+fo1bfTc0IpGI5syZQz179my1960qQkNDydzcnIqLi+nly5fEYrHol19+UYx75ubmEpfLpRMnTlTKu2LFCvLx8VFMgJY79OP//azLyc3NpZUrV5JUKiUrKysCQEuWLCFDQ0M6duwYJScn0/z582nUqFF06NChFhelSimoLZjypaVN6bP4byZMmEAASE9Pj/z8/Gjq1Km0ZcuWVrXz6rx582jkyJFN9mKaMGECdenSpVHC8zU3kyZNotmzZ5NcLqeHDx+SiYkJzZgxQ3H+p59+UnhknDt3jp49e0YymYxGjRpFJ0+epE2bNtGAAQPI0dGRANDu3buJqGwy6uzZs3T27Fnq3bs3eXp60pYtW2jIkCEK4R08eDCZmZnRN998Q8eOHaP+/fsTm82mIUOG0MmTJ6tdsLJixQoCQHfv3m30+6MU1BbMTz/9RCwWi1JSUprNBj6fT3l5eZSenk4nTpyg33//nfz8/MjOzu69I8w3FaWlpeTr60uTJk1q9FnkV69ekYGBgSKA+IdGXl4eubu705YtW0gul9OjR4/I1dVVcT4jI4M2bNhA/fr1oy5duhCPx1PsdfbmzRu6dOmSQiBVVFTI2NiYpFIpSaXSCoFSyv/OnTtX4fNXX31VwR4+n08nTpygAQMGkLa2Nk2aNKlSBK+YmBhF/nv37jXq/VEKagvGzMyMQkNDm9uMKjl06BAZGRnRp59+SpcuXWpuc96JUCikjh070s8//9yo9fj6+tZ7zXxrIS4ujlxcXGjUqFH0xx9/1LjgRCAQ0N69exW/kfI1/f8WTaKyVW9v7yqQlJREIpGIAgIC6ODBg9SvXz8yNDSkAQMGVLnJYH5+Pi1cuJDc3NxIKBRSREQEHT16lAYNGqSoa9OmTTRr1qxG660oBbUF4+XlRdOnT29uM6olNjaWduzYQXp6eq1iC+jbt29TmzZtGq2VmpubSyoqKi06VkJDIRKJaPLkycRisUhbW5s8PT3p+PHjlJeXR9euXat2axO5XE7dunWjiRMnUmBgIPn4+NQqtGC5KJaWltKBAwfIyMioyliy5VuxACBLS8tKwp2WlkYAaOjQoY3imqUU1BZMYGAgmZmZtchloW/j7u5O9+/fb24z3olEIqG2bds2mj+oWCwmR0fHD2o7l5qQy+X00UcfEQAaNmxYBfGysbEhb29vCgoKapAJwSVLltDnn39ORGX32cTEpJLPdG5uLgUFBVFRUREBoKlTp9Iff/xBu3btouzsbEW68kAsAGjRokV07Nix97avHKWgtnAePHhApqamLXqCw8nJiZ4+fdrcZtSK7du3N2ps2JEjR9Iff/zRaOW3RAICAmj69OnUq1cvcnZ2JhMTE4X7U/nf4cOHFceWL19OPB5P0YIsKiqiU6dOkZ+fH3l4eLwzbuuBAwcIAGlra9OcOXOotLSUQkNDSV9fnzp27EgGBgY0c+bMGp8buVxO+/btU0y6+vr6KibI3geloLYC5s6dS99++21zm1El/v7+ZGpq2mrcg77//nuaMmVKo5W/bt26Ri2/NfDmzRu6fPkynTx5klasWEHjx49XROrH/8f6Lf+/b9++1K5dO8XnIUOGvHNI5vXr13To0CG6du0ajRkzhjgcDunq6tKcOXOIqMw7xtnZWSGWR48erbG8b7/9VlH/+7phKQW1FZCQkNAiZ44DAwPJyMioygmClsrDhw/JwsKi0ZzEc3NzydDQ8IOInNQYpKSkkIqKCgGglJQUCggIUGx/UtXYs1AorHHfrfKg7CtXrqwQa3XHjh2koaGhEMqaImPdunWLWCwWAaC5c+e+1/UpBbWV8Pnnn1dyGWlOyp24q9sYsCXj4uJCjx49arTy58+fX+O2zTExMVRQUNBo9bcGykMJyuXyasdYS0tLycLCQiF0p06dot27d1eKmbpq1aoq/UylUim9fPmSjhw5QsXFxe+0ad26de/toaEU1FZCWloaGRkZtQjfT4FAQL6+vrRw4cLmNqXO+Pv7E4/HIz6f32h1LF++nL7//vsqz5VveNe7d+9Gq/9DoLCwkNq2bUs6Ojo0aNAg+u6776h3794EgLp06VIhrYODA7Vr167aZa9NSU2CqgyO0oIwNTXFtGnTsGHDBhw5cqRZbfn9999RVFSELVu2NKsddUUqlWLGjBk4efJkhaAeDY2uri4yMzOrPNenTx/o6OggIiICKSkprTZgSkNTUFCA1atXIy8vDytWrMDatWuhrq4OPp+vSCMUCqGhoYEVK1ZUyJuSkoLg4GB07doVc+bMQffu3Zva/FrBbG4DlFRkypQp8Pf3R0BAQLPawefz0bdvX3A4nGa1o648fPgQBgYG6NWrV6PWo6mpibS0tErHDx06hFu3buHhw4fQ1tbGw4cPG9WO1kJ+fj68vb2xe/dumJubo2vXrvjjjz9w+PDhCun2798PR0dHDBw4sMJxVVVVmJmZwdXVFT169MCNGzcaxK6IiAgwGAxFBKz3pUZBre4NrKTxcHV1xenTp/H5559j4sSJSExMbBY7GAwG5HJ5s9T9Ply+fBnDhg1r1DpKSkpw8OBBDB06VHHshx9+gKenJ1atWoXo6GioqKggISEBSUlJjWpLa+DmzZswMDBAjx49IBaLsWHDBty+fRuBgYFo27ZthbSjRo2Cubk5HBwccPPmTQBAeno6GAwGuFwuwsPDsWjRIty5c6dBbNPS0gIArF69+p1pRSIRDhw4UHOi6sYCiAg2NjbNMkahpCzU3ooVK8jAwIAWLlxYYXazKZg0aRIdOnSoSetsCD7++GM6ePBgo5TN5/Np9erVZGpqSp999pniO4mMjCQmk0mBgYGKiZjg4GBis9mtYnVZY/Lw4UPFLPzbgarfxdWrV8nAwICGDBlC8+fPp48//lhxLjg4mIyMjBosCtU333xTYevsqkhOTqYRI0aUX4tyUqq1kpWVRe7u7jR8+PAmE9WSkhIyNjamFy9eNEl9Dcl333333m4xVZGcnExeXl40ceLESntcHTt2jMaMGVPh2Pr162nRokUNbkdrY/bs2TR+/Ph6ud2VlpbSd999R0OHDqVXr15VOGdjY0PPnj1rKDPfSXk0q8mTJysFtbUjEomIx+M12R72YWFh5OLi0iR1NTSZmZlkYWHRoMtknzx5QqamprRu3boqHdJjYmKIy+VWaI16e3tTYGBgg9nQmpDJZBQdHU0///wzmZmZNUoktXnz5pGLiwtdvXq1XvnlcnmdGiiFhYXk7+9PfD5fKagfAj4+Po0eloyozK+vT58+1boEtQZ++OGHBl3J1K9fvxp3/4yMjCR9fX3FSrJXr14Rj8drNSvLGgK5XE5Xr16lxYsXk6OjI5mYmNDIkSMbbbmyXC6nK1eukLa2Nq1atarO+VeuXEkA6MqVK3XOqxTUD4DevXtTUFBQo9cTHBxMzs7OrVoMcnNzydjYuMFaqZs2barRp9Te3p7Wr1+v+Lxu3TpasGBBg9TdGti1axcNHDiQnJycaMWKFXTjxo0mGzsOCwsjDQ2NOg9PJSUlKcZ2ly1bVqfoZEpB/QBwdHRstL3ei4uLKTAwkNavX086Ojq0d+/eRqmnKTl06FCDOdanp6dT2fxtZWQyGTGZzAq7G3h5eVFwcHCD1N3SSU1NJQA0aNAgKioqahYbJk6cSAAoICCgTvkyMjKoa9euBKBOS75rElSlH2orQCqVIjExETY2Ng1abmJiIpYvXw57e3usWrUKqamp+O233zBz5swGrac58PLyajDfwnLKnqWKMJlM9OrVC/7+/gDKdv2Mj49Ht27dGrTulkp0dDRsbGzg7++vcEFqao4fP4558+Zh8+bNEAgEtc5nYmKCe/fuQS6Xw9DQsEFsUQpqK+DNmzcwNTWFmppag5V59epVdOjQAaWlpbh8+TLu3buH3bt3Y8KECQ1WR3NibW2NxMRESCSSepdRUlKCLVu2wMfHBxMmTACDwagyXefOnXH8+HGEhoZi0aJFGDVqFNhsdr3rbU0kJibC1ta2uc3Ajz/+CGtra/Tv379Oogqg2u+1XlTXdCVll7/FcOXKFfL19W2w8spjBoSEhDRYmS2R9u3bv1dgl5kzZ5KNjQ09fvy4xnQ5OTn0+eefk42NDS1dupTS09PrXWdrY/r06QSAHjx40NymkFwup+HDh9Mvv/zSqPVAuZa/dZOWlgZzc/MGKy8+Ph5t2rRBly5dGqzMlsigQYPw999/13sZqlAoxKRJk+Dt7V1jOkNDQ+zZs6dedbR29PX1AQBWVlbNbElZS7NTp07NtroQUHb5WwUhISFwcnJqsPIKCwuhrq7eYOW1VKZOnYr9+/fj0aNH9cofFxeHPn36NLBVHxabN2+Gi4sLHj9+3NymACgbO2/OOBhKQW0FnD59GlOnTm2Qst68eYMZM2Zgzpw5DVJeS8bJyQm7d+/GlClTIJVKa52PiDB37lzw+fwPvhX/vjAYDCxfvhzLly+vctKuqTE1NYVQKGy2+pWC2sKRyWRgMplgsd5/dIaIMHv2bCxcuBATJ05sAOtaPmPHjoW5uTl+/fXXWufZv38/Hjx4gAcPHkBDQ6MRrfswGDduHCIjI1FSUtLcpiAgIAC+vr7NVr9yDLWFk56eDlVVVRgZGb1XOWKxGIsXL0Z+fj6WLFnSQNa1fBgMBn766Sf07NkTI0eOfOdY36VLl7Bs2TIEBwdDW1u7iaxs3bBYLIwcORL79u3D4sWLa0wrlUohEAgQFBSE4OBgZGVlQU9PDxMmTECXLl3e+wUWExPzzjHvxkTZQm3h8Hg85OfnQywWv1c5n3/+ORITExEYGPifcekpx9nZGUwmE+Hh4dWmkUgk2Lp1K2bNmoUrV67Azc2tCS1s/YwaNQr379+v9nxYWBimT58OTU1NmJqaYv/+/bC1tcXYsWNhbW2NFStWQFNTExcuXABQFlA6IiKiTjbcunULFy5cgJ+f33tcyfuhbKG2cMLCwtC2bdtaB3ouLS3F6dOnMX78eKiqqgIoi74fFBSEFy9eQFdXtzHNbbGUlpYiOjoaQ4YMQXR0NP766y+kpqZCS0sLYWFhCA8PR7t27XDv3r0W4VfZ2vj+++8xatQoxefyeKdisRjq6urYs2cPPvvsM6SkpMDIyKiS7+eKFSuwfft2TJkyBcePH8fw4cPh4OCAmJiYWtXP5/MxZswYHD16tEE8YoioXv6pjJoGkjt06EAtZfbuv8rnn38Oc3NzrFy5slbpExISFCuqevbsCU1NTTx58gR3796Fg4NDY5raotm1axcWLVoEKysrMJlMDB06FPb29sjPz4e6ujr8/PwqBTtWUjuICJ07d0Z+fj4mTJiA27dv4+nTp1i8eDHYbDbEYjHc3d0xduzYd5Y1btw4nDlzRvE5NzcXBgYG78y3du1axMfH49ChQ+9zKQr69u2Lx48f48GDB3B2dq5wjsFgPCGiDlVmrM5BlZSO/c1OQUEB6erqUkZGRp3yXb58mdhsNp08eZL++OOP//zum+VkZmbS7du36xQIQ0ntkMvldOnSJVq1ahXt37+/3sFRhEIhnTx5khwcHAgAubu7v3OdfUFBARkaGlaKU/s+/PnnnwSAGAxGpa2voQyO0jqZPn06jRo1qs75pFIpGRkZ0blz5xrBKiVKmgaBQECTJk2iH374ocZ0J06coAEDBjR4/evXr1dEpMrPz6ekpCSSSCTKlVKtlQsXLuDEiRPvTCeVSsFgMFBSUoL4+Hj8/vvvMDMzw+DBg5vASiVKGgdNTU0sXrwYQ4cORUJCAjp37gwmk4kpU6YgNDQUN2/exNatW5GXl9coK9W+/fZbLF++HLa2tmjTpg34fD5+/PHHGvMoZ/lbMD4+PsjJyXlnus8++wwsFgsmJiYYP348OBwOrly58p9YDaXkw6Zjx44ICQmBo6MjLl26hO3bt6N3797w9fXF1atXcf/+fcjlcsyaNavB6y7fuC82Nhbjxo0Dh8NBz549a8yjbKG2UMRiMe7cuYNdu3ZVmyYqKgrW1tbIz8/Hzp07sWDBgoaNnKNESQvA3t4eX3zxBb744gsQES5fvgxbW1twOBwIhcJ6z8hXh1wux6FDh8DhcKCqqoqffvoJhw8fxuXLl+Hl5VVz5urGAkg5htqshIeHk52dXbUTKHFxcYrxHSMjI7p7924TW6hESdOTl5dHAIjFYpGZmVmdd1OtDdu3b1c8W+V/a9euVZyHcgy19fH48WPEx8fD3d0dL168qHT+7ZVTISEh/2mXKCX/HfT19TFlyhS0bdsWgwYNgpeXV4MuVAkJCcH69etx584djB8/HmPGjEGXLl0wbty4WuVXCmoL5eXLlwAAPT29Ks8nJCRAR0cHX3/9NSwtLZvQMiVKmpfFixejf//+WLZsGXr06AELC4v3LjMqKgo7d+7EX3/9heXLl6NHjx7w8vLCjh076jScoJyUaqEkJSWBzWZXGcQkLCwMK1aswIQJE7BixYoGjeSvRElLp3379njw4AFevHiB27dvv3d5+/btQ+/evcHlcnH//n2sX78e06dPx2+//VbnsVllC7UFkpWVhVu3buH58+eVVmk8efIEgwYNwsSJE7FgwYJmslCJkubF3t6+QcoJCwvDrFmzcOzYMQwfPhzz58/H0KFDsX///nqVp2yhtkCWL1+O9PT0KoN58Pl8AGU+erVZkqdEiZLqMTMzw+TJk7Fy5Uro6emBiLB9+/Z6l6cU1BaIj48PAMDT07PSub59+2LTpk3YvHkzMjMzm9gyJU2NTCarU3BsJXWDx+PhyJEjiIuLg0QiwZEjR95rB1SloLZALl26hBMnTlS57cn9+/fx7bff4tdff4WLi0szWKekKWGxWGCz2di2bVtzm/LBw2S+vxwqBbUFoqOjg6KiokrHjx49iuHDh2PHjh2NsjJEScujS5cu0NLSgqmpaXOboqQWKAW1BdKnTx8cP3680vHffvsNGzZswMcff1zpXHJyMvr37w83NzdwudwagykraT2EhISgqKgIkyZNam5TlNQCpaC2QFxdXSGXy7F06VKIxWLw+Xx8/PHHuHv3brUt09DQUFy/fh2RkZHIyclRLkFVoqQZUApqC8THxwcSiQQ//PADtLW14eLigtOnT2PhwoUwMDDAjRs3KuUZO3YsSkpKIJVKQURwd3dvBsuVKPlvoxTUFsq9e/ewevVqiMVipKWlYfDgwfj+++9x8OBB9OvXDwwGA0uXLlWkZzAYUFdXh4qKSjNarUTJfxuloLZQGAwGVq5ciezsbKxbtw5CoRBWVlaYNm0atLS0oKam1iB75yhRoqThUO4p1YooLi5Gfn4+zM3NlWOkSpQ0EzXtKaVcetqK0NTUhKamZnOboUSJkmpQdvmVKFGipIFQCqoSJUqUNBBKQVWiRImSBkIpqEqUKFHSQCgF9QOhtLQUt2/fxpIlS8BgMDBixIjmNkmJkv8cyln+VoxIJMK+ffuwYsUKRZzUcgYMGNBMVilRUn/kcnmDRH1qLpSC2gqRy+U4d+4cNm/eDD09PfD5fMyaNQtbt24Fh8MBh8NR+qm2EIqKihAcHIznz58jLS0N6urqsLOzw8SJE5ssQHheXh6IqNZxPuVyOY4fP47du3fD29sbixYtqrQJpEgkQlBQEFJSUpCdnY0JEyZUG0WfatjmubS0FIWFhZBKpcjOzoanpyfGjx+PkydP1u0iWwhKQW1lxMfHY/z48ZDJZGAwGAgNDQVQtpZfW1u7ma1TApTtqnD27FkkJydj+/bt8PHxQceOHeHu7o6SkhL89ddf2LFjB1avXo127drBxcUFDAYDcrkcqampsLCwqNcLkYgQHh6O+Ph4sNlsJCcnQyKRYNeuXUhOTsbmzZthaGiIwsJC6OjoQCAQQE9PD1wuF0VFRcjKygIAbN++HQYGBli2bBkeP36MLl26oGfPnjA1NYVQKERSUhKePn0KV1dX2NraQk9PD506dYKpqSlsbW3Rp08fWFlZoaSkBKdOnUJQUBC0tLTA4/GQlZUFBoMBMzMz8Pl8pKWlQUdHBywWC4aGhhg9ejQeP34MPz8/GBgYQCQSoaSkBBKJBDKZDEwmE1paWvD09MSSJUvA4XAa+ut7L5QrpVoZq1atwpMnT2BnZ4fAwEBcvHixwfbXUVKZoqIiFBUVwdTUtJLIERGSkpLw8uVLPH78GP7+/nj69ClUVFTg6+sLOzs7+Pn5oUuXLhXySaVSnD17FseOHUNkZCRYLBa8vb3x5MkTZGdnQyaToU2bNjA1NYW2tjY2bNgAR0fHam2MiorCmTNncOnSJeTn58PNzQ1SqRQWFhZgs9nw8vKCmZkZLl68CD6fr4i3q6GhgezsbOTn50NPTw9GRkYQCoX4+OOPMWTIEEX5hYWF+PPPP1FUVAQ1NTVYWFjAw8MDZmZmijR8Ph9JSUmIiIhAaGgo0tLSwGazMWDAAEyYMAHFxcVIT0+HiYkJACA1NRVaWlqws7MDi1WxXZeXl4erV69CJBJBTU0NampqUFVVBZPJBBGhsLAQkyZNgo+PD8aNG4cOHTrA1tYWpqamUFFRgUQigUQigYaGRr2/95qoaaWUUlBbODKZDEuXLsXt27fx9ddfY9u2bRgyZAi8vb0xefJkODs7Y/Xq1ejbt29zm/pBwefzERoais8++wwikQienp7o0KEDXF1d0atXL2zevBkBAQEoKSmBs7MzPD094evri86dO0NFRaXWvQUiwuPHj/Hq1Ss4ODigU6dOyM/PR2JiIjIyMnD79m1cu3YNT548UeSRyWQoLi5GRkYGAgICsGbNGnz66afo27cvfH19/xMBcnJzc3H16lWEhobi+fPneP36NfLy8mBpaYmioiIUFxdjyJAhGDhwIMzMzGBra1vlDhj1QSmorZgnT55gzJgx2Lx5M2bOnAkdHR28efMGKioqEIlEuHz5Mj7//HPcuHEDHh4ezW1ukyCTyfDy5UuEh4fjzp07uHXrFgwNDdGjRw98/PHH+Pnnn3H37l2oqqpCQ0MDCQkJEAgEYDKZMDIygpGREaZPnw5dXV3w+XzFvk3p6emIj4/HzZs3UVBQACcnJ6xZswb9+vXDqVOnkJqailu3buHJkycYOXIkFi5cCHd390Ybr96zZw/mzJmD4cOH4+LFiwCArVu34n//+x9UVFRgYmKCtm3bYtOmTXBzc2sUG1oT5cMRbDYb+vr6OH36NEJCQpCZmYmnT5/C3d0dI0aMQI8ePcDhcKCmpgYGgwENDQ1wudxav4iUgtrAZGRk4PXr1+DxeNDT04O+vj5kMlmlrkt9kUql2L9/P/7++2+Eh4ejY8eOOHXqFH755Rd8++23+P7777FkyRJF+pMnT2LBggVISkqCurp6g9jQFPD5fGzcuBFJSUnw8fHBpUuX8OjRI/Tr1w+Ojo5ISEhAZmYmNDQ04OTkhMjISMTGxiI1NRWWlpbw9PRE+/bt0atXL5SWlmL//v14+PAh/Pz88MknnyAxMRFCoRCdO3eGjo4OiAjZ2dmIj4/HL7/8AhaLBQMDA6ioqEBFRQU8Hg9t2rRBjx494ODg0OwTe3PnzsWvv/6KGzduwN3dHRMnTkRSUhKuX78OCwuLZrWttcHn83Hr1i2cOnUKERERkEqlEAqFAMqCDvH5fDg7O6Njx474+OOP0bt372rLUgpqAyGRSHDw4EFs2LABiYmJlc6fPHkS48ePr3BMIBDg9OnTGDlyJAwNDWuc8SynfGLibT766CM8fvwYRkZGyMzMRHJycoXzXl5eWL16NYYPH17Pq2sahEIhnj9/juDgYOzduxe9evVC//794e/vj5KSEmzcuBFXrlyBSCSCtbU1eDweEhMTER0djV69esHJyQmWlpZQU1Nr7ktpdH744QcsXboUXl5eeP36NWbPno21a9c22ItbyT+Ulpbi+fPnGDFiBIyNjREREVFt2v+koObk5IDL5QIAevXqhcOHD6NNmzZwdXWFiYkJYmNjcf78edja2kJFRQW3b9+GqqoqBgwYUK3glZSUQFNTE1wuF0ZGRmAwGIpJBHt7e5ibm6O4uBivX79Gfn4+7O3tkZ6eDmNjY0RFRUEul4PD4cDX1xc6OjowNzeHtrY2tm3bhg4dOoDBYMDBwQEDBw5EZGQk7ty5g/DwcOTk5KC0tBRsNhseHh5YunRpJeH84YcfcPfuXVy+fLnR7219kMvlGDJkCAICAtC+fXt069YNEyZMQLdu3ZrbtBZNUlISMjMzYWVlpZjQUdKwiEQinDt3DkFBQXj06BH+/vvvGmMNt0pBFQgEUFVVBYvFQmJiItLT01FaWorMzExERUUhLCwML168AJPJhKqqKvh8PszMzMBms5GXlwehUIji4mKFj1v79u0RFxen2E2UyWTC3NwcBQUFkMvl6NixI1JSUmBvb4/i4mJ07twZdnZ2aNeuHfT09JCdnY3MzEycP38eJ06cAAB8+eWX2Lp1K4KDgxEeHg41NTVYWVnB1tYWurq6iIuLg7a2Ntq1awciglAoRHZ2NkJDQyEQCJCcnIz09HSMGzcOBQUFYLPZCAsLw+3bt8HlcuHl5YXOnTsrHiYtLa0K96jcJebq1at49uwZdu/ejQkTJjT5d/UuxGIxgoKCMHToUHh7e6O1vqSVfFi8fv0aCxYsQHBwMLp3746uXbtiwYIF7/TXbXWCOmDAAAQFBYHL5UIsFkNdXR1WVlZQU1MDl8uFs7Mz2rdvr5iEEYlE0NHRQXp6OqRSKfT19aGmpoa8vDwUFBRARUUFDAYDMpkMMpkMbDYbbm5uMDIyQvn1MxgMFBYW4vz58zAxMcHDhw8V/nbFxcUwNDSEqakpRCIRMjMz8fjxY1haWiomiBobgUCA+/fvIzo6GtHR0YiPj8eDBw/g4+ODL774Au3bt2+2FgwRoaioCNnZ2YqXxuvXrxEREYFHjx7h+fPncHJywvjx4zFlyhTweLxmsVOJknI2bNiAbdu2YcmSJVi0aFGd4gy3CEH966+/EBcXh06dOoHP5yMrKwsuLi6wt7dHWloawsPDERISguDgYLx8+RLHjx9Hp06doKurC0NDw2afIGgKyocJyt0/jIyMwGazQUR48+YN2rZtCzc3N7i4uMDGxgadOnWCsbFxk9tZWlqKhw8f4sKFCwgICFCMJxsbGyteejY2NnB1dYW3tzc6dOgAHR2dJrdTiZKqyM/Ph5GREVJSUmBqalrn/E0uqBKJBJcvX4aqqiocHBzg4OCAadOm4eDBg3B0dIS9vT0MDQ1x584dFBYWwsTEBK6urvDx8UH//v1haWkJAwOD/4SIvk1sbGwlB+6QkBCFi4y1tXWD1PP06VP4+/vj+fPnAMq2rR43bhzatm1bZfqEhAQcPHgQUVFRiI2NRVxcHFxcXDBgwACMGTMGdnZ2SsFU0mqQSCTo06cPLC0t4efnB09Pzzr5qDb5FigxMTEYPXq04jOHw4G/vz8KCwsRGBgICwsL6OvrY/LkyTA0NIS2tjbU1NRgZ2cHJyenVuX605B0794dmpqa+OyzzyAUCtGpU6dKq2xqQiwW17gUTywWY9WqVTh48CDGjRuHkSNHAijzde3evTuuXbsGLy+vSvm+/PJLPHz4EIMHD8bw4cMVPnsWFhZo37593S9UiZJmgIhw/PhxhIeHw87ODkeOHFHEDChf1vq+NIqguri44M8//8TevXsRERGBlJQUxfpmsViM8+fPIz09HXw+H3FxcRAIBBAKhXj16hWePXsGNzc3PHv27D+x4uNt/ve//2HTpk2Ijo5Gz549IZFIcPHiRTg7O8POzq7CFz5x4kRwuVwYGxtDU1MTjx8/xvHjx/H1119j8+bNinTFxcVYvHgxUlJSEBYWBh8fH0REREBHRwdJSUmIi4uDmZkZiAhXr16tUlD9/PyQn5+PuLg4JCUlgYiQkZGBiIgILF26FBs2bGiS+6NEyfuwevVqnDt3Dp988glMTU3h5+cHS0tLWFpaNliEq0YRVAaDAT8/P/j5+VU4/urVK0W30srKCsbGxhCJRPDw8IBEIkFxcTE4HA6srKwgk8n+c4I6f/58TJkyBVeuXEFUVBRevHih+J/P58PT0xPOzs4wMjKqNhqPvr5+hc/JycnYv3+/4nNkZCTs7e1RUlICExMTWFlZwdnZGZs2bULPnj1x5MgRREdHQyqVQiqVKnxek5OTkZGRAQAwMDAAl8utFIFIiZKWir+/P1avXo3p06dj8eLFUFVVbZR6mnSWXyqV4vvvv8eFCxcQGRkJAPjxxx+hra0NLS0tuLq6wtnZ+T8npLUhKysL4eHhiI6ORl5eHvLz85GSkoKkpCTEx8cDAJycnNC/f38sXLgQfD4fT58+RXh4OCIiIvDq1SskJSWBw+HA3Nwcampqitn5goIC5Ofng8PhYODAgWjfvj04HI5i7NbCwgKWlpYwNTVttIATSpQ0JjKZDA8ePMCWLVtw7949+Pr6omfPnvDx8YGLiwvYbHaty3qvSalHjx6BwWBAKpUq3I/KXWQKCgrAYDDg7u5e59UbUVFRcHV1xfr169GvXz907NixVQeWbU7e7oKfO3cO+/btA4/HQ6dOneDu7g4PDw/Y29vD2tq62hicYrEYAoGgyWJ0KlHSXCQkJCAwMBB3797Fw4cP8fr1a1hZWaFHjx749NNPYWhoCDMzs0q9vXLqLaiGhoYklUrh4OCAly9fQkdHB9bW1oiIiICxsTH09PQgEomQkpKCjh07wtnZGcbGxuDxeLC1tYWtrS2MjIygpaWlmLEXCoXIyspCYmIiNm3aBAB48+YN+Hw+LCwsYGBgAB0dHTCZTOTl5UEikeDQoUOwsrJ63/v4nyE3N/c/6SWhREl9KC0tRUJCAvbt24eHDx8iNzcXqampsLGxQV5eHrKysmBoaAg7OzvY29vj4MGD9RNUe3t7CgkJQVxcHNq2bYu8vDy8fv0aPXv2rLCWOjc3Fw8ePEBcXBwyMjKQnp6ON2/eKEJqCYVC6OrqQi6Xo7S0FMbGxpDJZBAIBIoVUeXxCwsLCyvZkZqaWiH2ohIlSpQ0JgKBANHR0TA2NoaRkRFycnIQHx+P+Ph4zJo1q3kd+yUSCQoLC8FgMKCvr1+h5UREKC4uRmJiIhITE6Gtra0Yr2usgWMlSpQoqS9N7of6b9hsdrXrYxkMhmJCytXVtSnMUaJEiZJGQTkLpESJEiUNhFJQlShRoqSBqHEMlcFgKOOsKVGiRElFcohoUFUnahRUJUqUKFFSe5RdfiVKlChpIJSCqkSJEiUNhFJQlShRoqSBUAqqEiVKlDQQSkFVokSJkgbi/wCxuNYrePuoRgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The data are defined in lat/lon coordinate system, so PlateCarree()\n",
    "# is the appropriate choice:\n",
    "data_crs = ccrs.PlateCarree()\n",
    "\n",
    "# The projection keyword determines how the plot will look\n",
    "plt.figure(figsize=(6, 3))\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.set_global()\n",
    "ax.coastlines()\n",
    "\n",
    "ax.contourf(lon, lat, data, transform=data_crs);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 1C. Data coordinate system differs from projection\n",
    "We saw in the previous example that the plot didn't change since the default assumption when the transform argument is not supplied is that the coordinate system matches the projection, which was indeed the case.\n",
    "\n",
    "Now we’ll try this again but using a different projection for our plot. We’ll plot onto a rotated pole projection, and we’ll omit the transform argument to see what happens:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now we plot a rotated pole projection\n",
    "projection = ccrs.RotatedPole(pole_longitude=-177.5, pole_latitude=37.5)\n",
    "plt.figure(figsize=(12, 8))\n",
    "ax = plt.axes(projection=projection)\n",
    "ax.set_global()\n",
    "ax.coastlines()\n",
    "\n",
    "ax.contourf(lon, lat, data);  # didn't use transform, uh oh!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "The resulting plot is incorrect! We didn’t tell Cartopy what coordinate system our data are defined in, so it assumed it was the same as the projection we are plotting on, and the data are plotted in the wrong place.\n",
    "\n",
    "We can fix this by supplying the transform argument, which remains the same as before since the data’s coordinate system hasn’t changed:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A rotated pole projection again...\n",
    "projection = ccrs.RotatedPole(pole_longitude=-177.5, pole_latitude=37.5)\n",
    "plt.figure(figsize=(6, 3))\n",
    "ax = plt.axes(projection=projection)\n",
    "ax.set_global()\n",
    "ax.coastlines()\n",
    "\n",
    "# ...but now using the transform argument\n",
    "ax.contourf(lon, lat, data, transform=data_crs);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "The safest thing to do is always provide the transform keyword regardless of the projection you are using, and avoid letting Cartopy make assumptions about your data’s coordinate system. Doing so allows you to choose any map projection for your plot and allow Cartopy to plot your data where it should be:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can choose any projection we like...\n",
    "projection = ccrs.InterruptedGoodeHomolosine()\n",
    "plt.figure(figsize=(6, 7))\n",
    "ax1 = plt.subplot(211, projection=projection)\n",
    "ax1.set_global()\n",
    "ax1.coastlines()\n",
    "ax2 = plt.subplot(212, projection=ccrs.NorthPolarStereo())\n",
    "ax2.set_extent([-180, 180, 20, 90], crs=ccrs.PlateCarree())\n",
    "ax2.coastlines()\n",
    "\n",
    "# ...as long as we provide the correct transform, the plot will be correct\n",
    "ax1.contourf(lon, lat, data, transform=data_crs)\n",
    "ax2.contourf(lon, lat, data, transform=data_crs);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 2. GIS maps: geopandas (and matplotlib)\n",
    "Geopandas provides a (very) easy way to interact with vector geospatial data (_e.g._, shapefiles).  This provides a powerful tool for actually interacting with data and making plots.  In this example we read data from a shapefile (New York City boroughs) and make a simple plot.  Then, we read data from a separate file to color-shade the map based on a value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "# load matplotlib, pandas, geopandas and pyproj\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import pyproj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "# Read in a shapefile and print contents\n",
    "fp = '../shapefiles/nybb.shp'\n",
    "map_df = gpd.read_file(fp)\n",
    "# check data type so we can see that this is not a normal dataframe, but a GEOdataframe\n",
    "#map_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>BoroCode</th>\n",
       "      <th>BoroName</th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>330454.806607</td>\n",
       "      <td>1.623847e+09</td>\n",
       "      <td>MULTIPOLYGON (((970217.022 145643.332, 970227....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>357176.132581</td>\n",
       "      <td>6.363978e+08</td>\n",
       "      <td>MULTIPOLYGON (((981219.056 188655.316, 980940....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>464475.067699</td>\n",
       "      <td>1.186824e+09</td>\n",
       "      <td>MULTIPOLYGON (((1012821.806 229228.265, 101278...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>742297.830402</td>\n",
       "      <td>1.937844e+09</td>\n",
       "      <td>MULTIPOLYGON (((1021176.479 151374.797, 102100...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Queens</td>\n",
       "      <td>874225.139404</td>\n",
       "      <td>3.048479e+09</td>\n",
       "      <td>MULTIPOLYGON (((1029606.077 156073.814, 102957...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   BoroCode       BoroName     Shape_Leng    Shape_Area  \\\n",
       "0         5  Staten Island  330454.806607  1.623847e+09   \n",
       "1         1      Manhattan  357176.132581  6.363978e+08   \n",
       "2         2          Bronx  464475.067699  1.186824e+09   \n",
       "3         3       Brooklyn  742297.830402  1.937844e+09   \n",
       "4         4         Queens  874225.139404  3.048479e+09   \n",
       "\n",
       "                                            geometry  \n",
       "0  MULTIPOLYGON (((970217.022 145643.332, 970227....  \n",
       "1  MULTIPOLYGON (((981219.056 188655.316, 980940....  \n",
       "2  MULTIPOLYGON (((1012821.806 229228.265, 101278...  \n",
       "3  MULTIPOLYGON (((1021176.479 151374.797, 102100...  \n",
       "4  MULTIPOLYGON (((1029606.077 156073.814, 102957...  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make a quick map\n",
    "map_df.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "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>Borough</th>\n",
       "      <th>County</th>\n",
       "      <th>Census</th>\n",
       "      <th>GDP</th>\n",
       "      <th>sqmile</th>\n",
       "      <th>sqkm</th>\n",
       "      <th>personpsqmile</th>\n",
       "      <th>personpsqkm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>1472654</td>\n",
       "      <td>42.695</td>\n",
       "      <td>42.2</td>\n",
       "      <td>109.3</td>\n",
       "      <td>34920</td>\n",
       "      <td>13482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Kings</td>\n",
       "      <td>2736074</td>\n",
       "      <td>91.559</td>\n",
       "      <td>69.4</td>\n",
       "      <td>179.7</td>\n",
       "      <td>39438</td>\n",
       "      <td>15227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>New York</td>\n",
       "      <td>1694251</td>\n",
       "      <td>600.244</td>\n",
       "      <td>22.7</td>\n",
       "      <td>58.8</td>\n",
       "      <td>74781</td>\n",
       "      <td>28872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2405464</td>\n",
       "      <td>93.310</td>\n",
       "      <td>108.7</td>\n",
       "      <td>281.5</td>\n",
       "      <td>22125</td>\n",
       "      <td>8542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>Richmond</td>\n",
       "      <td>495747</td>\n",
       "      <td>14.514</td>\n",
       "      <td>57.5</td>\n",
       "      <td>148.9</td>\n",
       "      <td>8618</td>\n",
       "      <td>3327</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Borough    County   Census      GDP  sqmile   sqkm  personpsqmile  \\\n",
       "0          Bronx     Bronx  1472654   42.695    42.2  109.3          34920   \n",
       "1       Brooklyn     Kings  2736074   91.559    69.4  179.7          39438   \n",
       "2      Manhattan  New York  1694251  600.244    22.7   58.8          74781   \n",
       "3         Queens    Queens  2405464   93.310   108.7  281.5          22125   \n",
       "4  Staten Island  Richmond   495747   14.514    57.5  148.9           8618   \n",
       "\n",
       "   personpsqkm  \n",
       "0        13482  \n",
       "1        15227  \n",
       "2        28872  \n",
       "3         8542  \n",
       "4         3327  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read data to be used (plotted) on our map\n",
    "df = pd.read_csv('../shapefiles/population.dat', header=0)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "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>BoroCode</th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>County</th>\n",
       "      <th>Census</th>\n",
       "      <th>GDP</th>\n",
       "      <th>sqmile</th>\n",
       "      <th>sqkm</th>\n",
       "      <th>personpsqmile</th>\n",
       "      <th>personpsqkm</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BoroName</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Staten Island</th>\n",
       "      <td>5</td>\n",
       "      <td>330454.806607</td>\n",
       "      <td>1.623847e+09</td>\n",
       "      <td>MULTIPOLYGON (((970217.022 145643.332, 970227....</td>\n",
       "      <td>Richmond</td>\n",
       "      <td>495747</td>\n",
       "      <td>14.514</td>\n",
       "      <td>57.5</td>\n",
       "      <td>148.9</td>\n",
       "      <td>8618</td>\n",
       "      <td>3327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Manhattan</th>\n",
       "      <td>1</td>\n",
       "      <td>357176.132581</td>\n",
       "      <td>6.363978e+08</td>\n",
       "      <td>MULTIPOLYGON (((981219.056 188655.316, 980940....</td>\n",
       "      <td>New York</td>\n",
       "      <td>1694251</td>\n",
       "      <td>600.244</td>\n",
       "      <td>22.7</td>\n",
       "      <td>58.8</td>\n",
       "      <td>74781</td>\n",
       "      <td>28872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bronx</th>\n",
       "      <td>2</td>\n",
       "      <td>464475.067699</td>\n",
       "      <td>1.186824e+09</td>\n",
       "      <td>MULTIPOLYGON (((1012821.806 229228.265, 101278...</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>1472654</td>\n",
       "      <td>42.695</td>\n",
       "      <td>42.2</td>\n",
       "      <td>109.3</td>\n",
       "      <td>34920</td>\n",
       "      <td>13482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn</th>\n",
       "      <td>3</td>\n",
       "      <td>742297.830402</td>\n",
       "      <td>1.937844e+09</td>\n",
       "      <td>MULTIPOLYGON (((1021176.479 151374.797, 102100...</td>\n",
       "      <td>Kings</td>\n",
       "      <td>2736074</td>\n",
       "      <td>91.559</td>\n",
       "      <td>69.4</td>\n",
       "      <td>179.7</td>\n",
       "      <td>39438</td>\n",
       "      <td>15227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens</th>\n",
       "      <td>4</td>\n",
       "      <td>874225.139404</td>\n",
       "      <td>3.048479e+09</td>\n",
       "      <td>MULTIPOLYGON (((1029606.077 156073.814, 102957...</td>\n",
       "      <td>Queens</td>\n",
       "      <td>2405464</td>\n",
       "      <td>93.310</td>\n",
       "      <td>108.7</td>\n",
       "      <td>281.5</td>\n",
       "      <td>22125</td>\n",
       "      <td>8542</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               BoroCode     Shape_Leng    Shape_Area  \\\n",
       "BoroName                                               \n",
       "Staten Island         5  330454.806607  1.623847e+09   \n",
       "Manhattan             1  357176.132581  6.363978e+08   \n",
       "Bronx                 2  464475.067699  1.186824e+09   \n",
       "Brooklyn              3  742297.830402  1.937844e+09   \n",
       "Queens                4  874225.139404  3.048479e+09   \n",
       "\n",
       "                                                        geometry    County  \\\n",
       "BoroName                                                                     \n",
       "Staten Island  MULTIPOLYGON (((970217.022 145643.332, 970227....  Richmond   \n",
       "Manhattan      MULTIPOLYGON (((981219.056 188655.316, 980940....  New York   \n",
       "Bronx          MULTIPOLYGON (((1012821.806 229228.265, 101278...     Bronx   \n",
       "Brooklyn       MULTIPOLYGON (((1021176.479 151374.797, 102100...     Kings   \n",
       "Queens         MULTIPOLYGON (((1029606.077 156073.814, 102957...    Queens   \n",
       "\n",
       "                Census      GDP  sqmile   sqkm  personpsqmile  personpsqkm  \n",
       "BoroName                                                                    \n",
       "Staten Island   495747   14.514    57.5  148.9           8618         3327  \n",
       "Manhattan      1694251  600.244    22.7   58.8          74781        28872  \n",
       "Bronx          1472654   42.695    42.2  109.3          34920        13482  \n",
       "Brooklyn       2736074   91.559    69.4  179.7          39438        15227  \n",
       "Queens         2405464   93.310   108.7  281.5          22125         8542  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge (technically here we are doing a \"spatial join\") the two data\n",
    "# sets.  Note here we specify the column from the first data set (the\n",
    "# shapefile) that we want to match to the second (the ascii table).\n",
    "# This would be the actual Burough name, and in the shapefile this is\n",
    "# called \"BoroName\" while in the ascii file it's \"Borough\"\n",
    "merged = map_df.set_index('BoroName').join(df.set_index('Borough'))\n",
    "merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x1008 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We are now all set to make a map.  Here we will plot a map of the five buroughs\n",
    "# and color-shade them based on some value.\n",
    "#\n",
    "# 1. Define the variable that we want to use for our shading (note this is a\n",
    "#    column heading in the joined file); here is it the number of people (\"Census\")\n",
    "variable = 'GDP'\n",
    "\n",
    "# 2. Set the range for the color values\n",
    "#vmin, vmax = 500000, 3000000\n",
    "vmin, vmax = 0, 600\n",
    "# 3. Initiate figure (fig) and axes (ax) objects\n",
    "fig, ax = plt.subplots(1, figsize=(14, 14))\n",
    "\n",
    "# 4. Create map; here we use the \"plot\" method in geopandas\n",
    "merged.plot(column=variable, cmap='Blues', linewidth=0.8, ax=ax, edgecolor='0.8')\n",
    "\n",
    "# 5. Clean up the plot a bit\n",
    "#   a) remove the axis\n",
    "ax.axis('off')\n",
    "#   b) add a title\n",
    "ax.set_title('GDP of NYC Boroughs', fontdict={'fontsize': '25', 'fontweight' : '3'})\n",
    "#   c) create an annotation for the data source\n",
    "ax.annotate('Source: Wikipedia',xy=(0.1, .08),  xycoords='figure fraction', \n",
    "            horizontalalignment='left', verticalalignment='top', fontsize=12, color='#555555')\n",
    "#   d) create colorbar as a legend\n",
    "sm = plt.cm.ScalarMappable(cmap='Blues', norm=plt.Normalize(vmin=vmin, vmax=vmax))\n",
    "sm._A = []\n",
    "cbar = fig.colorbar(sm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 3.  GIS maps: geojson and plotly\n",
    "\n",
    "In this example we access geospatial data via a JSON request/reply.  To plot the data, we will use plotly.  This gives a nice, interactive plot that shows how to take advantage of databases within geospatial data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "# load package to read from a URL, JSON and pandas for data handling and plotly for plotting\n",
    "from urllib.request import urlopen\n",
    "import json\n",
    "import pandas as pd\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "# set the URL for a GeoJSON file and access\n",
    "URL = 'https://raw.githubusercontent.com/plotly/datasets/master/'\n",
    "# the JSON file is \"geojson-counties-fips\"\n",
    "with urlopen(URL+'geojson-counties-fips.json') as response:\n",
    "    counties = json.load(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'type': 'Feature',\n",
       " 'properties': {'GEO_ID': '0500000US01001',\n",
       "  'STATE': '01',\n",
       "  'COUNTY': '001',\n",
       "  'NAME': 'Autauga',\n",
       "  'LSAD': 'County',\n",
       "  'CENSUSAREA': 594.436},\n",
       " 'geometry': {'type': 'Polygon',\n",
       "  'coordinates': [[[-86.496774, 32.344437],\n",
       "    [-86.717897, 32.402814],\n",
       "    [-86.814912, 32.340803],\n",
       "    [-86.890581, 32.502974],\n",
       "    [-86.917595, 32.664169],\n",
       "    [-86.71339, 32.661732],\n",
       "    [-86.714219, 32.705694],\n",
       "    [-86.413116, 32.707386],\n",
       "    [-86.411172, 32.409937],\n",
       "    [-86.496774, 32.344437]]]},\n",
       " 'id': '01001'}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# print the head of the file; note is a dictionary\n",
    "counties['features'][0]"
   ]
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   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fips</th>\n",
       "      <th>unemp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01001</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01003</td>\n",
       "      <td>5.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01005</td>\n",
       "      <td>8.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01007</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01009</td>\n",
       "      <td>5.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    fips  unemp\n",
       "0  01001    5.3\n",
       "1  01003    5.4\n",
       "2  01005    8.6\n",
       "3  01007    6.6\n",
       "4  01009    5.5"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Next we read the FIPS from a CSV file; same URL, different file name\n",
    "df = pd.read_csv(URL+'fips-unemp-16.csv',dtype={\"fips\": str})\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
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     "slide_type": "slide"
    }
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   "outputs": [
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       "/*!\n",
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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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t[0]=s*(h*v-p*m)-f*(l*v-c*m)+g*(l*p-c*h),t[1]=-(n*(h*v-p*m)-f*(i*v-a*m)+g*(i*p-a*h)),t[2]=n*(l*v-c*m)-s*(i*v-a*m)+g*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*m)-u*(l*v-c*m)+d*(l*p-c*h)),t[5]=r*(h*v-p*m)-u*(i*v-a*m)+d*(i*p-a*h),t[6]=-(r*(l*v-c*m)-o*(i*v-a*m)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*g)-u*(s*v-c*g)+d*(s*p-c*f),t[9]=-(r*(f*v-p*g)-u*(n*v-a*g)+d*(n*p-a*f)),t[10]=r*(s*v-c*g)-o*(n*v-a*g)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*m-h*g)-u*(s*m-l*g)+d*(s*h-l*f)),t[13]=r*(f*m-h*g)-u*(n*m-i*g)+d*(n*h-i*f),t[14]=-(r*(s*m-l*g)-o*(n*m-i*g)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+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}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){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]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(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]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=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+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+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+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+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+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+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+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=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]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=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]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=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]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=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]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,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],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=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]=a,t[11]=e[14],t[12]=i,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}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=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||a({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(h(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\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\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\\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 float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\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=i(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=f(t.viewport),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,a=!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 i=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]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],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:i,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[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],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),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){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 i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.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),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][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||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);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:[i,i]})})}))}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,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}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 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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 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+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,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.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 i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(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*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=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(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.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 lr=function(t,e){this.type=t,this.args=e};lr.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 i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.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,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.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,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.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,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.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 pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.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 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][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],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(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 Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+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 Ct(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&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);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 ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(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=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(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 vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=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 di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=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&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"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){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),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,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=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},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.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},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.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)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,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]=f,this.float32[x+8]=h,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}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.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}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.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}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=Ha(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=Ha(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!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 f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(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 Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 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,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(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(Ss,this,e),this.length=this._features.length}function Ss(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){var e=null,r=t.readVarint()+t.pos;for(;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 Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.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 _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=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 Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(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),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=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 Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[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&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=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&&(u=t[l-2],m=t[c].sub(u)._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<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;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,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;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,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=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&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(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&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.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)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;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 A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;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,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;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,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=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=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(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?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.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))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.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},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,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)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.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},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);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)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);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=a;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},Mc.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))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.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})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.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},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,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=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.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)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=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()})};Hc.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))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=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 Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(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]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.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)},qc.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)}},qc.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(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(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));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=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]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=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\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.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 Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(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 Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.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},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(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 nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.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))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=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 i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.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])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.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)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=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}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.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},lu.geometry.set=function(t){this._geometry=t},su.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(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.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 i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.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}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}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 d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){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&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.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=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(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})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),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\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();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 na},du.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\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.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 Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.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)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m<f.length;m++){var v=[];ut(f[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&\"LineString\"===h){for(m=0;m<g.length;m++)l.push(Q(u.id,h,g[m],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===g.length?(h=\"LineString\",g=g[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===g.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,g,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(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 mt(t,e){if(t.transformed)return t;var r,n,i,a=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(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?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++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(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++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.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},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,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,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(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,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){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=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.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)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}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,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,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 i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}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 i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.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++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,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 i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),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=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+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 i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,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 i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},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 M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.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]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(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 M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(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 M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),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,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,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 i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,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 i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,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 a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({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 Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(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 it(this),this.blendEquation=new at(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 ft(this),this.bindFramebuffer=new ht(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\")};Lt.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()},Lt.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},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.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))},Lt.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)},Lt.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)},Lt.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)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new 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),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(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,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],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,a,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={},i={},a=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],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],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>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.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 i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._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(f,h)),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)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(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){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function 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 Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"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 Ot);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[zt]},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 i in e)\"ref\"!==i&&(n[i]=e[i]);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 Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(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 i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],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}var Jt=function(t,e){this.reset(t,e)};Jt.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},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(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 ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,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)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,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=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,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=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.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)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];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 a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];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 a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];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 a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(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 pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!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,i=1/0,a=-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),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[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)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[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 de=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};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.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 we=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 xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.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),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.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]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.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},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(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*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=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=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,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 i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(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 De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,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,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};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)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.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 je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new 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 i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=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:f,y:h},{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 i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);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=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.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 Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#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;}\"),We=yr(\"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);}\"),Xe=yr(\"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=yr(\"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);}\"),Je=yr(\"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);}\"),Ke=yr(\"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;}\"),Qe=yr(\"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;}\"),$e=yr(\"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;}\"),tr=yr(\"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);}\"),er=yr(\"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);}\"),rr=yr(\"#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);}\"),nr=yr(\"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;}\"),ir=yr(\"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=yr(\"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);}\"),or=yr(\"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;}\"),sr=yr(\"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;}\"),lr=yr(\"#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;}\"),cr=yr(\"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;}\"),ur=yr(\"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);}\"),fr=yr(\"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=yr(\"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;}\"),pr=yr(\"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);}\"),dr=yr(\"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;}\"),gr=yr(\"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));}\"),mr=yr(\"#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);}\"),vr=yr(\"#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 yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,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);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,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=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,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(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});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 br)).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 Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=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]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(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 qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={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 Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,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),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.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&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.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 Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){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,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,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 an(t,e,r,n,i,a,o){var s,l,c,u,f,h=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=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.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(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=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(f));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\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(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:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-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 un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[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:Lr(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,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.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 i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){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=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(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)),M.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,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.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),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.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?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.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,Ge.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,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.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 Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.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,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.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),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.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)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.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},_n.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 _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.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()},_n.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)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=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};kn.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},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={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}};An.prototype.clone=function(){var t=new An(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},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.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))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.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())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.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())},Mn.zoom.get=function(){return this._zoom},Mn.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())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.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)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.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 Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=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(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.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)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.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])},An.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)))},An.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},An.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])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<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+a)/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<a&&(i=a+m),g+m>o&&(i=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===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.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},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),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 f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.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(\"/\")},Sn.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},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.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},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.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 qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.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)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.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]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(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=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=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)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.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())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.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,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<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}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.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})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.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))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.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)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.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\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(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])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.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=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],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=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=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 f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),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,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.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),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.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},bi.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},bi.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\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.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},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.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}},_i.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 wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"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\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={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},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,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 i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,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 Ai))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 yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?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\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new 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)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var 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 f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,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))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.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},Pi.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 Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.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},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({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 Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.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()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.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)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.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))},Ii.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))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={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 Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var 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,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[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\",h.rx),p.setAttributeNS(null,\"ry\",h.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=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=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=Oi(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,zi[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),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),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,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!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\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!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),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.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},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=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\")};Yi.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},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.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)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.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())},Yi.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 Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return 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(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.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,i=this._lngLat||this._trackPointer;if(this._map&&i&&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=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=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 i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}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(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),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 Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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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>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},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 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 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=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\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=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\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(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 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 i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},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 a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},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 i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=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||(i[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=f({},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,i=e.positionBuffer,a=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),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[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||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;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))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;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 a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},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 i=.25*(t=t.slice()).length%e;i<n*e;i++)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 this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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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 i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.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,i=e-30*(n-1)+1;return 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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 i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.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=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.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 i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+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 i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.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),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(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 i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[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 i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.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=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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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 i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/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),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-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 i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(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(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(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 a(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),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"./attributes\":349,\"./common_defaults\":352}],355:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(m(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),g=t(\"../titles\"),m=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),gt=0,mt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),g.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),g=15.6;if(f.node()&&(g=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),mt=a.width,(gt=a.height)>g&&(h[1]-=(gt-g)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),mt=a.width,gt=a.height),o){if(gt){if(gt+=5,\"top\"===j)it.domain[1]-=gt/R.h,h[1]*=-1;else{it.domain[0]+=gt/R.h;var v=m.lineCount(f);h[1]+=(1-v)*g}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else mt&&(\"right\"===j&&(it.domain[0]+=(mt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,g=!o&&\"right\"===j,m=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,m=n.height)),g&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,m+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=m;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+m-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=g?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?gt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+gt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-m))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var g=d[0];i(g.x0)&&i(g.y0)&&(h=ht(g),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var m=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var x=m[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,gt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=gt;var mt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};mt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,mt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.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,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(m,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),g=d.LINE_SPACING,m=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=m(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom 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n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),g=e._has(\"cartesian\"),m=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(g||b||y||x||_)+v+m+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):m?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];g&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!g&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));m?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(g||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof 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a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private 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if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var u=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/u,r=n(10),t.dtick=\"L\"+ot(e,r,$)}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))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),g=t(\"../cartesian/axes\"),m=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/select\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}e.exports=function(t){return new M(t)},S.plot=function(t,e,r){var n=this,i=e[this.id],a=[],o=!1;for(var s in w.layerNameToAdjective)if(\"frame\"!==s&&i[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var 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i=t[n],a=i[0].trace;\"choropleth\"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),d.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,g=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],g._length=y[1][1]-y[0][1],d.range=m(r,d),g.range=m(r,g);var k=(d.range[0]+d.range[1])/2,A=(g.range[0]+g.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,g.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return\"lonaxis\"===t||\"lataxis\"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e[\"show\"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(\".layer\").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};g.setConvert(l,r);var c=g.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],m=i[0];m<i[1]+2.5;m+=2.5)d.push(a(p,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,\"\",e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),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]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(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)/_*(a>=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?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(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]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),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]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":561,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],595:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=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 a(t)}},{\"../../lib/str2rgbarray\":528,\"../cartesian/axes\":554}],596:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=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:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({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 i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],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 i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},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\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=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=h(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 A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[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()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var 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 f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,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})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1120,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=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:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.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}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},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\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=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,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.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\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=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=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(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,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var 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 i=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(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=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:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[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[a[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 f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}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=f}}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],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=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:h,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(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,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 m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!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,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)\"skip\"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:m(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:m(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=m(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=m(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=m(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;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):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,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(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],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][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-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],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[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=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.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,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},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,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var 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n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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g=c.select(s._subplot.div);if(!(null===g.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var m=e._glimages.append(\"g\");m.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),m.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),m.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=g.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var 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n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=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 e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=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\"),f=u.rectMode,h=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,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){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:A(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(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=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),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function A(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(A(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t))}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),g=t(\"../cartesian/autorange\").doAutoRange,m=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,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 n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(P,I)),r.frontplot.attr(\"transform\",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);g(r,n);var 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../cartesian/layout_attributes\":569,\"../domain\":584}],636:[function(t,e,r){\"use 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r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../../components/fx\"),i=t(\"../../registry\"),a=t(\"../../components/color\"),o=t(\"../../lib\").fillText,s=t(\"./helpers\").getLineWidth,l=t(\"../../plots/cartesian/axes\").hoverLabelText,c=t(\"../../constants/numerical\").BADNUM;function u(t,e,r,i,a){var s,u,f,h,p,d,g,m=t.cd,v=m[0].trace,y=m[0].t,x=\"closest\"===i,b=\"waterfall\"===v.type,_=t.maxHoverDistance,w=t.maxSpikeDistance;\"h\"===v.orientation?(s=r,u=e,f=\"y\",h=\"x\",p=z,d=I):(s=e,u=r,f=\"x\",h=\"y\",d=z,p=I);var T=v[f+\"period\"],k=x||T;function A(t){return S(t,-1)}function M(t){return S(t,1)}function S(t,e){var r=t.w;return t[f]+e*r/2}function E(t){return t[f+\"End\"]-t[f+\"Start\"]}var L=x?A:T?function(t){return t.p-E(t)/2}:function(t){return Math.min(A(t),t.p-y.bardelta/2)},C=x?M:T?function(t){return t.p+E(t)/2}:function(t){return Math.max(M(t),t.p+y.bardelta/2)};function P(t,e,r){return a.finiteRange&&(r=0),n.inbox(t-s,e-s,r+Math.min(1,Math.abs(e-t)/g)-1)}function I(t){return P(L(t),C(t),_)}function O(t){var 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e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+m*Math.cos(t),b[1]-m*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"../../plots/cartesian/axis_defaults\":556,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/cartesian/position_defaults\":572,\"./constants\":858,\"@plotly/d3\":58,\"d3-interpolate\":116}],862:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374,\"../streamtube/calc\":1041}],864:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),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:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,h=t.surface.fill,p=t.spaceframe.fill,d=!1,g=!1,m=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=f.indexOf(t._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},A=t._minValues,M=t._maxValues,S=t._vMin,E=t._vMax;function L(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function C(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,C()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function O(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function z(t){s=t}function D(t,e){return\"all\"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=m[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,g))}},{\"../../components/colorscale/calc\":374,\"../../components/colorscale/helpers\":377,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/filter_unique.js\":494,\"../../lib/gup\":500,\"fast-isnumeric\":190}],884:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var 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g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/domain\":584,\"../parcoords/merge_length\":897,\"./attributes\":881}],885:[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:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":881,\"./base_plot\":882,\"./calc\":883,\"./defaults\":884,\"./plot\":887}],886:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=o.selectAll(\"g.trace.parcats\").data(a,p),h=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return l(t.x,t.y)})),h.append(\"g\").attr(\"class\",\"paths\");var y=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);y.attr(\"fill\",(function(t){return t.model.color}));var x=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(x),y.attr(\"d\",(function(t){return t.svgD})),x.empty()||y.sort(g),y.exit().remove(),y.on(\"mouseover\",m).on(\"mouseout\",v).on(\"click\",b),h.append(\"g\").attr(\"class\",\"dimensions\");var w=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);w.enter().append(\"g\").attr(\"class\",\"dimension\"),w.attr(\"transform\",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll(\"g.category\").data((function(t){return t.categories}),p),M=A.enter().append(\"g\").attr(\"class\",\"category\");A.attr(\"transform\",(function(t){return l(0,t.y)})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),A.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(M);var S=A.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.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})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),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 p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(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 D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(g),N(g)),g}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));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,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(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 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=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:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(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 i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function g(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function m(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,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]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.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(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(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=i,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:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);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(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},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.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500}],892:[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,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\"}}},{}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=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\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the 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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\":503}],895:[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\":888,\"./base_plot\":890,\"./calc\":891,\"./defaults\":893,\"./plot\":899}],896:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=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 float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=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 f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(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),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=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,i,a,o,l,c,u,f,h,p,d){for(var g=[[],[]],m=0;m<64;m++)g[0][m]=m===i?1:0,g[1][m]=m===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:g[0].slice(0,16),dim0B:g[0].slice(16,32),dim0C:g[0].slice(32,48),dim0D:g[0].slice(48,64),dim1A:g[1].slice(0,16),dim1B:g[1].slice(16,32),dim1C:g[1].slice(32,48),dim1D:g[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=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),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=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=a({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 left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;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<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],903:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){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\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[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,bbox:t.bbox,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\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(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=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(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},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],906:[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\":900,\"./base_plot\":901,\"./calc\":902,\"./defaults\":903,\"./layout_attributes\":907,\"./layout_defaults\":908,\"./plot\":909,\"./style\":910,\"./style_one\":911}],907:[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\"}}},{}],908:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":907}],909:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){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(f||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||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(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 O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.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=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.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}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(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 i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(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],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-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()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(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(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers,h=t(\"../../lib/extend\").extendFlat,p=t(\"../../plot_api/edit_types\").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.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 i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;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}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=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})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){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,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(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,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){o=!0}));var s=t._fullLayout._dragCover,g=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(g,m);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",O);var _=b.selectAll(\".\"+l.cn.sankeyLinks).data(v,m);_.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=_.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),m);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\"stroke\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var C=b.selectAll(\".\"+l.cn.sankeyNodeSet).data(v,m);C.enter().append(\"g\").classed(l.cn.sankeyNodeSet,!0),C.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var R=C.selectAll(\".\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),m);R.enter().append(\"g\").classed(l.cn.sankeyNode,!0).call(E).style(\"opacity\",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var F=R.selectAll(\".\"+l.cn.nodeRect).data(v);F.enter().append(\"rect\").classed(l.cn.nodeRect,!0).call(P),F.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return u.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll(\".\"+l.cn.nodeLabel).data(v);B.enter().append(\"text\").classed(l.cn.nodeLabel,!0).style(\"cursor\",\"default\"),B.attr(\"data-notex\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\"text-shadow\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\"text-anchor\",(function(t){return t.horizontal&&t.left?\"end\":\"start\"})).attr(\"transform\",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?\"\":\"scale(-1,1)\"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../registry\":638,\"./constants\":919,\"@plotly/d3\":58,\"@plotly/d3-sankey\":57,\"@plotly/d3-sankey-circular\":56,\"d3-force\":111,\"d3-interpolate\":116,tinycolor2:312}],924:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=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\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}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<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var 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n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":937}],966:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":388,\"../../plots/cartesian/axes\":554,\"../scatter/plot\":947}],968:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=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 f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":503,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"./attributes\":968}],971:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],972:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":554}],973:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),f.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(g,c,x);return 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n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var 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if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,g=-1/0,m=0,v=0;m<f;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":943,\"../scatter/subtypes\":951,\"./constants\":980,\"./helpers\":985,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(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=i.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\":503,\"../../registry\":638,\"../scatter/constants\":930,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/period_defaults\":946,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"../scatter/xy_defaults\":953,\"./attributes\":978,\"./helpers\":985}],983:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=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,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.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<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],984:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":935}],985:[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\":980}],986:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/get_trace_color\":936}],987:[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\":568,\"../scatter/cross_trace_defaults\":932,\"../scatter/marker_colorbar\":944,\"./attributes\":978,\"./calc\":979,\"./defaults\":982,\"./format_labels\":984,\"./hover\":986,\"./plot\":988,\"./select\":990}],988:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=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\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*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(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=i(_)),!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 o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var A=m.dragmode,M=l(A),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||M||S){if(M||(M=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(O[g]),N[g]=x.c2p(z[g])}else C.xpx=C.ypx=null}if(M){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new 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)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x,t._context.plotGlPixelRatio),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\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":942,\"../scatter/subtypes\":951,\"./edit_style\":983,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],989:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var 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_.remove();var D=null,R={};v&&_.each((function(t){R[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!D&&b.isEntry(t)&&(D=t)}));var F=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),B=M.height+1,N=0,j=S;T.hasMultipleRoots&&b.isHierarchyRoot(M)&&(F=F.slice(1),B-=1,N=1,j+=1),F=F.filter((function(t){return t.y1<=j}));var U=p(k.rotation);U&&F.forEach((function(t){t.x0+=U,t.x1+=U}));var V=Math.min(B,S),H=function(t){return(t-N)/V*I},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},G=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,z)},Y=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},W=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(_=_.data(F,b.getPtId)).enter().append(\"g\").classed(\"slice\",!0),v?_.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=b.getPtId(t),n=R[r],i=R[b.getPtId(M)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+U;e=t.rpx1<i.rpx1?{x0:t.x0,x1:t.x1,rpx0:0,rpx1:0}:{x0:o,x1:o,rpx0:t.rpx0,rpx1:t.rpx1}}else{var s,l=b.getPtId(t.parent);_.each((function(t){if(b.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(b.getPtId(t)===r)return c=e}));var f=u.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(c/f),x1:h((c+1)/f)}}return a(n,e)}(t);return function(t){return G(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():_.exit().remove(),_.order();var X=null;if(v&&D){var Z=b.getPtId(D);_.each((function(t){null===X&&b.getPtId(t)===Z&&(X=t.x1)}))}var J=_;function K(t){var e=t.parent,r=R[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}v&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),f=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr(\"d\",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(m,i,k);var p=s.ensureSingle(c,\"g\",\"slicetext\"),_=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=g(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),g=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return m(Math.pow(t,g))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr(\"transform\",S(i,A))}))}function w(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,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var g,m=o.split(\"+\"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v(\"label\")&&u.label&&y.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&y.push(b.formatValue(u.v,l)),!h){v(\"current path\")&&y.push(b.getPath(t.data));var x=0;v(\"percent parent\")&&x++,v(\"percent entry\")&&x++,v(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){g=b.formatPercent(w,l),_&&(g+=\" of \"+t),y.push(g)};v(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return v(\"text\")&&(g=s.castOption(r,u.i,\"text\"),s.isValidTextValue(g)&&y.push(g)),y.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":905,\"../pie/plot\":909,\"./constants\":1048,\"./fx\":1050,\"./helpers\":1051,\"./style\":1056,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1056:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=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=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.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\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1057:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(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 f=e.exports=c(l({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:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1058:[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\":374}],1059:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").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\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=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=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1066:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.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\":503,\"../../plots/domain\":584,\"./attributes\":1062}],1069:[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\":1062,\"./base_plot\":1063,\"./calc\":1064,\"./defaults\":1068,\"./plot\":1070}],1070:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib\").numberFormat,o=t(\"../../lib/gup\"),s=t(\"../../components/drawing\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../lib\").raiseToTop,u=t(\"../../lib\").strTranslate,f=t(\"../../lib\").cancelTransition,h=t(\"./data_preparation_helper\"),p=t(\"./data_split_helpers\"),d=t(\"../../components/color\");function g(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function v(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return D(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(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){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return u(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return u(0,t.scrollbarState.topY||0)}));var c=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),c.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.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(o.repeat,o.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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n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",u(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=y(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=D(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=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,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=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]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(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,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=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=f*m-h*v;v=f*v+h*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*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),g(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var 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>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.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(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var 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 f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number 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fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(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=h.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 h(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 f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.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 h=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=i(n)).right=i(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=i(n)).left=i(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=a(0,n));r.right=a(0,n);continue}n=i(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=i(n)).left=i(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=i(n)).right=i(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=a(0,n));r.left=a(0,n);continue}var c;n=i(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),h.left===r?h.left=null:h.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),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._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}})},{}],70:[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\"),i=t(\"./lib/lines.js\"),a=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=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=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,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[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 a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&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),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"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=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[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};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[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,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[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=i(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=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=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,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(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 A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}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,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],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=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[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 f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][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[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][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[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,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,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(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 i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=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,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=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=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[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||i,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=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),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 A=(k+1)%3,M=(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 L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=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 f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";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=a(s,t.shape);i.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 f;f=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?f:f.subarray(0,t.length),e),n.free(f)}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 i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-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),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[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,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,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=i,this.triangleVectors=a,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=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.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 i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,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]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};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 h=u[15];for(o=0;o<3;++o)h+=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/h}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||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},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 f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,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 h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,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:231}],82:[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_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var 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(),i=t._shape[0],a=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]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){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),f(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,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=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,a),f(s)),u(n,a)}}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\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[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\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.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 i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.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]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,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],f=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,f=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/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===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=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+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*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[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:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(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\"),i=t(\"gl-vao\"),a=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\"),f=u.createShader,h=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 i=t[n]-e[n];r+=i*i}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,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var 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 n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+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}},{}],97:[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}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=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-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[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);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(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]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=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+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+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+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+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+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+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+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=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]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=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]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=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]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=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]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,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],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=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]=a,t[11]=e[14],t[12]=i,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}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),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}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,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:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,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:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=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,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,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=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.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 L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(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=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],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=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return 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 i=[],a=[],l=[],c=[],h=[],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,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||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=!(O||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,H=0,q=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]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=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]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}H+=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,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(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(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=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 f,h=u[15];for(o=0;o<3;++o)h+=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/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(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:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},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=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=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=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(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=i(t),_=i(t),w=i(t),k=i(t),A=a(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=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[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=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=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,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=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,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[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){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=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,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/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,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[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=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=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,i,a){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=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);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:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=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,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,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]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=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=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[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=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=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 f(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,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var 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),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var 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],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,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,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}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,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=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 a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},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\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[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=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view: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,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=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(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}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 f},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,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=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\"),f=t(\"gl-mat4/perspective\"),h=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||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!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:A,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,O=!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 i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){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,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.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,A=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,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!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<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[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(O=O||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);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.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,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[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?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(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 M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.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),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.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\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[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:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};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,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||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),i||a.free(l),o||a.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,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),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/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=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 f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,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 f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,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),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},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\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=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\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}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),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,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=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,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(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,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 C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);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 i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},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 i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=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(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=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;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)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 H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),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\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[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:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=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=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.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),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(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(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=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 i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=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 f(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),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.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 M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the 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\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,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:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){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,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.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=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},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 i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},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])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),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*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\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=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},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\":132,glslify:231}],145:[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=i(e),u=a(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}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,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\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=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 A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([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=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return 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],L={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 C(t,e){var r,n,i,a=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=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}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(),O=[1,0,0,0,1,0,0,0,1];function z(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 i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(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),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.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]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.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=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][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,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?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]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],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 i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[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=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=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),L=b.get(Y+1,W+1,1),C=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++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,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,a=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 it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+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),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[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(q>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,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(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,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[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(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=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 f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var 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,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}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,h,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];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),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 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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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?i.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}},{}],239:[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}},{}],240:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],241:[function(t,e,r){var 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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*f,y=e*s+r*h,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,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=g;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[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])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.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 i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.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},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;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;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,g=d[0],m=d[1],v=d[2],y=i*g+a*m+o*v,x=c(g-=y*i,m-=y*a,v-=y*o);if(!(x<.01&&(x=c(g=a*h-o*f,m=o*l-i*h,v=i*f-a*l))<1e-6)){g/=x,m/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,g,m,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*m,_=o*g-i*v,w=i*m-a*g,T=c(b,_,w),k=i*l+a*f+o*h,A=g*l+m*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":68,\"gl-mat4/invert\":98,\"gl-mat4/rotate\":103,\"gl-vec3/cross\":157,\"gl-vec3/dot\":162,\"gl-vec3/normalize\":179}],306:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){\"use strict\";var 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null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=g,r.mallocUint32=m,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,\"length\",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],310:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){\"object\"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t(\"./lib/vtext\"),i=null,a=null;\"undefined\"!=typeof 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n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var 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          4.3,
          5,
          5.6,
          2.7,
          4.3,
          3.3,
          3.5,
          5,
          4.4,
          3.6,
          4.3,
          4.5,
          3.7,
          3.5,
          3.3,
          3.2,
          3.5,
          3.6,
          3.8,
          2.7,
          4,
          3.4,
          3.6,
          3.7,
          2.9,
          2.6,
          3.1,
          4.2,
          3.6,
          3.7,
          2.6,
          4.3,
          4.4,
          2.7,
          6.2,
          3.7,
          4,
          3.2,
          2.1,
          3.6,
          3.8,
          3.1,
          4.9,
          3.7,
          2.7,
          4.2,
          4.7,
          3.6,
          3.9,
          2.8,
          2.7,
          5.1,
          3.2,
          2.6,
          2.9,
          3.5,
          3.4,
          3.5,
          3.5,
          3.1,
          4.6,
          3,
          2.3,
          2.4,
          4.2,
          3,
          3.8,
          3.7,
          5.9,
          3.2,
          3,
          3.9,
          4,
          3.5,
          3.6,
          3.6,
          3.5,
          4.2,
          5.9,
          4.5,
          6.4,
          4.1,
          4.7,
          5.1,
          3.9,
          4.3,
          3.7,
          5.5,
          4.6,
          2.9,
          2.9,
          4.5,
          4.5,
          6.3,
          3.4,
          4.6,
          5,
          4.2,
          4.6,
          4.1,
          3.6,
          3.1,
          5.3,
          3.2,
          4.2,
          3.2,
          3.3,
          4.3,
          5.8,
          2.6,
          5,
          3.8,
          2.3,
          2.3,
          5.2,
          2.7,
          3.9,
          4.4,
          2.7,
          2.9,
          3.6,
          4.1,
          4.7,
          3.3,
          3.3,
          4.7,
          2.9,
          5.7,
          3.4,
          4.4,
          3.8,
          6.7,
          2.8,
          4.2,
          3.3,
          4.3,
          3.2,
          2.9,
          4.3,
          3.6,
          6.4,
          4.1,
          4.1,
          2.8,
          7.5,
          3.8,
          2.6,
          4.6,
          3.7,
          4,
          3.6,
          3.2,
          3.5,
          4.3,
          2.6,
          4.6,
          2.9,
          4.2,
          3.3,
          5.2,
          4.2,
          4.5,
          3.8,
          2.6,
          4.8,
          4.6,
          4.1,
          2.6,
          3.5,
          3.5,
          4.1,
          3.1,
          4.4,
          4.4,
          2.9,
          4.2,
          3.8,
          2.9,
          3.5,
          2.5,
          6.4,
          6.2,
          5.7,
          6.6,
          4.2,
          4,
          8.6,
          4.6,
          7.2,
          9,
          3.8,
          4.7,
          8.1,
          4.9,
          6,
          9.4,
          6,
          4.1,
          5.3,
          5.3,
          4.5,
          3.8,
          5.9,
          5,
          10.2,
          4.6,
          6,
          4.7,
          9.6,
          7.3,
          5,
          5.5,
          4.5,
          6.1,
          10.9,
          5.7,
          3.5,
          5.9,
          10.9,
          4,
          6.8,
          4.8,
          4.7,
          4.9,
          6,
          6.4,
          4.4,
          8.6,
          5.4,
          4.4,
          12.1,
          4.6,
          4.6,
          4.7,
          4.1,
          5.6,
          5.5,
          7.5,
          4.4,
          3.8,
          9.6,
          4.1,
          11.2,
          7.9,
          4.5,
          6.1,
          10.4,
          9.2,
          13,
          11.9,
          9.2,
          6,
          7,
          4.2,
          5.6,
          5.7,
          7.7,
          4.8,
          4.1,
          18.8,
          4.1,
          5.6,
          10.1,
          6.1,
          5,
          8.4,
          4.7,
          4.5,
          4,
          6.3,
          7.8,
          7,
          4.5,
          5.4,
          6.5,
          3.4,
          4.1,
          9.4,
          4.8,
          10.5,
          10.8,
          7,
          5.3,
          5.9,
          5.9,
          5.5,
          8.3,
          3.7,
          3.5,
          4.4,
          3.8,
          5.1,
          4.2,
          5.6,
          5.3,
          6.7,
          3.9,
          4.1,
          7.3,
          5.9,
          6.5,
          9.7,
          3.2,
          7.4,
          6.4,
          4.9,
          8.5,
          7.1,
          6,
          7.7,
          5.4,
          6.6,
          4.8,
          7.6,
          4.4,
          9.3,
          6.7,
          8.3,
          7.4,
          5.1,
          11.7,
          5.7,
          7.4,
          9.1,
          7,
          9.4,
          6.8,
          5.7,
          5.3,
          6,
          6.2,
          6.3,
          6.6,
          6.5,
          5.1,
          9,
          9.8,
          7,
          5.9,
          6.1,
          5.3,
          6.5,
          6.1,
          6.1,
          7.4,
          6.9,
          6.1,
          5.3,
          7.6,
          7.5,
          6.8,
          8.1,
          7.8,
          9.4,
          5,
          6.7,
          9.9,
          7,
          6.5,
          7.7,
          7.3,
          7,
          8.6,
          5.3,
          11.9,
          5.1,
          7.8,
          3.6,
          5.7,
          2.9,
          4.4,
          4.7,
          3.6,
          3.6,
          3.8,
          4.8,
          4.4,
          5.4,
          3,
          5.8,
          4.2,
          6.2,
          3.4,
          6.1,
          3.7,
          4.5,
          3.8,
          4.7,
          3.5,
          5.1,
          4.2,
          6,
          3.7,
          5.5,
          4.1,
          3.2,
          4.7,
          3.3,
          4.4,
          3.8,
          4.1,
          7,
          4.1,
          4.9,
          6,
          9,
          6.3,
          4.7,
          4.3,
          4.7,
          5,
          3.8,
          3.3,
          5,
          3.3,
          3,
          4.2,
          3.2,
          3.9,
          3.4,
          3.9,
          7.4,
          8,
          3.7,
          5.7,
          6.8,
          8.1,
          7.9,
          3.8,
          5.2,
          6.4,
          4.8,
          4.6,
          4.6,
          4.6,
          5.3,
          9,
          7.4,
          7.2,
          3.6,
          7.4,
          6.3,
          5.2,
          4,
          6.2,
          5.4,
          6.8,
          6.5,
          4.1,
          5,
          4.9,
          5.9,
          5,
          4.1,
          4.1,
          7.1,
          6.5,
          4.5,
          4.7,
          3.9,
          6.9,
          3.4,
          8.4,
          7.3,
          6.5,
          4.7,
          4.5,
          4.2,
          6.5,
          9.4,
          5.3,
          6.3,
          5.6,
          5.6,
          5.4,
          5.6,
          4.5,
          5.7,
          4.3,
          5,
          9.7,
          5.2,
          4.7,
          4.2,
          7.1,
          7.5,
          8.3,
          5.5,
          7.2,
          5.7,
          3.2,
          9.2,
          8.1,
          5.1,
          6.2,
          4,
          6,
          9.1,
          5.1,
          6.1,
          5.5,
          3.4,
          6.4,
          5.6,
          7,
          3.8,
          4.7,
          5.3,
          4.5,
          4.9,
          3.2,
          4.1,
          5.4,
          3.3,
          6.7,
          4.5,
          4.4,
          3.5,
          9.6,
          4.6,
          7.3,
          5.1,
          3.4,
          3.8,
          3.5,
          4.4,
          4.1,
          3.9,
          3.8,
          4.7,
          3.4,
          4,
          6.5,
          4.7,
          8.7,
          4.5,
          6.6,
          3.8,
          4.7,
          8.5,
          4.3,
          6.5,
          4.7,
          4.9,
          3.6,
          3.6,
          4.5,
          5.7,
          7.4,
          4.2,
          4.5,
          6,
          5.7,
          3.2,
          4.8,
          2.8,
          3.8,
          4.9,
          3,
          4.4,
          5.8,
          5.9,
          3.9,
          4.4,
          3.6,
          3.6,
          7.2,
          4.1,
          5.3,
          3.5,
          2.3,
          5.1,
          5.8,
          3.3,
          4.1,
          4.3,
          3.8,
          3.6,
          3,
          5.3,
          4.7,
          3.7,
          3.7,
          6,
          4.3,
          3.4,
          5,
          3.3,
          3.6,
          3.9,
          3.9,
          8.3,
          5.2,
          7.4,
          6.7,
          6.7,
          7.3,
          5.4,
          7.5,
          6.6,
          5.7,
          11.4,
          6.8,
          8.1,
          8.8,
          6.5,
          5.5,
          4.2,
          5.7,
          7.2,
          7.4,
          7.3,
          5.2,
          6.1,
          5.5,
          5.4,
          11,
          11.4,
          14.3,
          5,
          6.5,
          7.7,
          14.9,
          8.3,
          6.1,
          8.7,
          4.8,
          4.5,
          5.9,
          7.1,
          6.1,
          4.8,
          9.3,
          5.7,
          6.2,
          4.3,
          6.6,
          6,
          6.3,
          6.4,
          5.8,
          6,
          8.3,
          5.5,
          7.4,
          6,
          7.1,
          6.8,
          4.8,
          5.5,
          9.7,
          4,
          4.6,
          8.9,
          5.4,
          5.3,
          6.7,
          9.5,
          6.8,
          5.8,
          5.5,
          5.5,
          7.1,
          4.4,
          7.7,
          6.4,
          9,
          7.3,
          6.3,
          10.2,
          7.1,
          6.2,
          7.4,
          5.7,
          3.8,
          4.6,
          4.2,
          4.5,
          5.2,
          5.3,
          6.1,
          5.1,
          3.2,
          4.1,
          5.7,
          4.6,
          4.1,
          5.7,
          4.3,
          5.4,
          7,
          4.1,
          5,
          4.3,
          3.9,
          7.3,
          3.9,
          4.2,
          3.6,
          4.9,
          5.3,
          4.4,
          5.5,
          3.8,
          4.4,
          5.4,
          6.1,
          8.2,
          4.4,
          4.3,
          3.7,
          3.8,
          4.6,
          4.2,
          5,
          5.6,
          3.3,
          4.4,
          6.3,
          7.1,
          5.1,
          4.1,
          4.3,
          4.9,
          3.5,
          5.5,
          4.3,
          4.3,
          4.5,
          4.5,
          6.8,
          3.9,
          4.3,
          4.8,
          5.5,
          5,
          4.3,
          4.6,
          5.2,
          6.6,
          4.3,
          4.8,
          4.6,
          5.8,
          9.3,
          4.3,
          4.6,
          6.1,
          3.4,
          7.3,
          8.9,
          3.5,
          4.9,
          4.7,
          4.5,
          3.6,
          4.8,
          5.4,
          4.5,
          4,
          5.2,
          4.9,
          6.5,
          7,
          3.5,
          6.3,
          4.6,
          5.5,
          4.2,
          4.7,
          6.3,
          4.1,
          5.7,
          7.4,
          4.1,
          6.4,
          7,
          5.8,
          7.4,
          6.2,
          4.8,
          4.2,
          6.3,
          5.4,
          4.9,
          3,
          5.9,
          5.4,
          3.3,
          7.2,
          4.6,
          4.9,
          3.9,
          2.9,
          4,
          3.8,
          3.5,
          2.6,
          3.9,
          3.8,
          3.6,
          3.9,
          5.6,
          2.8,
          2.8,
          8.6,
          4.4,
          5.9,
          4.3,
          4.6,
          3.4,
          4.7,
          3.3,
          3.1,
          9,
          2,
          3.8,
          4,
          7.6,
          3.7,
          5.1,
          4.3,
          4.8,
          5.3,
          4.2,
          2.3,
          5,
          3.4,
          4.8,
          5,
          5.3,
          5.5,
          7.8,
          3.3,
          4.3,
          4,
          3.1,
          3.7,
          3.5,
          4.5,
          3.4,
          5.1,
          3.8,
          3.6,
          3.3,
          2.7,
          6.2,
          3.8,
          4.5,
          2.8,
          3.8,
          3.2,
          3.9,
          2.6,
          3.8,
          3.3,
          3.5,
          2.7,
          2.2,
          2.4,
          3,
          3.3,
          3,
          3,
          2.5,
          4.3,
          3.1,
          3.1,
          2.8,
          3.5,
          3.2,
          3.5,
          2.3,
          2.9,
          3.1,
          3,
          2.9,
          3.5,
          3.4,
          2.8,
          2.7,
          2.4,
          3.3,
          3.8,
          2.9,
          2.6,
          2.5,
          3.8,
          2.6,
          3.8,
          3.5,
          2.5,
          3.3,
          2.5,
          3.1,
          2.1,
          4.3,
          3.2,
          2.9,
          3.2,
          2.9,
          3.6,
          2.4,
          2.9,
          3.8,
          3.4,
          2.8,
          3.8,
          3.1,
          3.5,
          2.4,
          2.3,
          2.6,
          2.8,
          3.7,
          2.8,
          3,
          3.4,
          2.7,
          3.2,
          3,
          3.2,
          3.6,
          3,
          3,
          3.3,
          2.8,
          2.7,
          2.6,
          3.4,
          5,
          3,
          3.3,
          2.8,
          3.3,
          2.3,
          2.8,
          5.4,
          5.8,
          5.6,
          4.5,
          4.5,
          4.6,
          5.4,
          6.2,
          5.1,
          7.4,
          6.6,
          7.3,
          5.9,
          6.3,
          5,
          4.6,
          6.1,
          2.8,
          3,
          2.7,
          3.9,
          2.4,
          3,
          2.5,
          3,
          2.5,
          2.4,
          7.4,
          4.2,
          4.4,
          5.5,
          9.8,
          7.5,
          6,
          5.1,
          4.7,
          3.8,
          4.3,
          4.4,
          4.4,
          3.9,
          5.2,
          6.1,
          6.3,
          4.1,
          4.7,
          5.2,
          4.6,
          5.8,
          8.2,
          6.8,
          8.3,
          6.1,
          5.1,
          4.9,
          7.2,
          6.6,
          6.6,
          6.5,
          7.2,
          5.7,
          9.5,
          6,
          4.2,
          14.7,
          9.5,
          8.8,
          6,
          6.9,
          7.5,
          5.7,
          6.7,
          8.9,
          7.7,
          5.4,
          8.5,
          7.5,
          8.5,
          9.1,
          4.1,
          7.2,
          4,
          6.2,
          7.1,
          5.4,
          5.9,
          5,
          5.8,
          5.7,
          5,
          5.3,
          3.7,
          5.7,
          5.5,
          4.2,
          4.9,
          5.3,
          5.6,
          5.7,
          4.6,
          5,
          6.5,
          5.5,
          6.2,
          5.3,
          6.7,
          4.9,
          5.2,
          4.7,
          5.7,
          3.9,
          4.5,
          5.8,
          4.8,
          4.5,
          4.3,
          4.3,
          5.7,
          6.4,
          4.9,
          4,
          4.5,
          4.3,
          5.2,
          4.2,
          6.6,
          3.8,
          4.3,
          5.4,
          6,
          4.7,
          5.8,
          4.3,
          4.8,
          5.1,
          4.1,
          4.4,
          5.2,
          4.6,
          4.9,
          4.2,
          5.3,
          4.4,
          4.7,
          4.3,
          5.6,
          5.8,
          4.8,
          5,
          5.7,
          6.7,
          6.9,
          6.3,
          3.8,
          4.9,
          4.5,
          5.2,
          5.2,
          5.2,
          5.4,
          4.7,
          4.2,
          5.6,
          6.4,
          5.4,
          5.5,
          6.4,
          5.3,
          6.3,
          5.2,
          6.7,
          4.8,
          4.5,
          5.4,
          4.5,
          8.6,
          4.9,
          5.1,
          5.3,
          5.2,
          8.8,
          4.3,
          5.2,
          5.2,
          8,
          5.7,
          4.6,
          4.2,
          6.5,
          6.5,
          9.4,
          4.8,
          5.4,
          4.6,
          5.3,
          5.9,
          5.9,
          4.6,
          4.8,
          5.4,
          4.9,
          6.7,
          4.7,
          6.1,
          5.2,
          5,
          6.6,
          4.7,
          7.3,
          5.5,
          4.3,
          5.3,
          6.3,
          5.3,
          6.4,
          5.5,
          5.5,
          4.7,
          4.9,
          7,
          7.9,
          5.6,
          5.5,
          6.7,
          5.4,
          9.2,
          4.6,
          4.8,
          4.8,
          6.1,
          4.9,
          8.4,
          4.3,
          7.2,
          4.2,
          7.3,
          7.4,
          4.5,
          5.8,
          4.8,
          8.1,
          4.4,
          5.2,
          2.7,
          3.3,
          4.1,
          3.2,
          4.8,
          2.2,
          4.9,
          2.6,
          2.3,
          2.7,
          2,
          2.7,
          3.1,
          4.5,
          4.5,
          3.1,
          2.8,
          2.4,
          3.2,
          3,
          3.1,
          3.9,
          2.5,
          3.5,
          5.1,
          3.2,
          3.8,
          3.6,
          4.6,
          3.3,
          3.1,
          3.5,
          5.4,
          5.1,
          4.1,
          2.9,
          2.3,
          4.1,
          2.8,
          11,
          2,
          5.8,
          4.4,
          2.5,
          4,
          2.2,
          2.5,
          2.3,
          2.9,
          3.9,
          4.2,
          4,
          4.4,
          7.5,
          5,
          5,
          6,
          6.2,
          3.7,
          7.4,
          5.7,
          4.4,
          6.8,
          4.5,
          5.2,
          4.4,
          5.8,
          6.6,
          7,
          6,
          5.4,
          4.1,
          4.8,
          3.5,
          5.5,
          4.2,
          4.4,
          4,
          4.6,
          6.7,
          4.4,
          4.3,
          7,
          4.3,
          3.6,
          5,
          7.5,
          5.3,
          6.3,
          5.4,
          3.5,
          6.5,
          7.8,
          8.3,
          4.5,
          4.8,
          6.4,
          4.3,
          4.2,
          5.9,
          5.1,
          3.8,
          6.3,
          5,
          4.3,
          8.3,
          3.2,
          4.3,
          11.1,
          4.8,
          8.1,
          4.9,
          6,
          8.6,
          6.4,
          4.6,
          6.2,
          4.7,
          7.4,
          5,
          4.7,
          3.6,
          5.5,
          5.5,
          4.7,
          7.6,
          4.8,
          4.1,
          5.4,
          5,
          6.7,
          5.7,
          3.8,
          4,
          7,
          4.1,
          6.9,
          3.9,
          4.4,
          4.1,
          3.7,
          6,
          3.4,
          6.7,
          3.2,
          7.5,
          3.8,
          4.4,
          5.4,
          4,
          5.2,
          5.6,
          7.8,
          2.5,
          3.9,
          7.5,
          4.7,
          4.9,
          4.9,
          5.9,
          4.7,
          5,
          4.1,
          3.9,
          4.3,
          5.4,
          5,
          3.3,
          7.5,
          3.9,
          3.9,
          8.4,
          7.5,
          4.5,
          7.2,
          5.9,
          6.4,
          3.4,
          5.4,
          8.8,
          7,
          5.3,
          4.1,
          3.2,
          4.2,
          7.2,
          9,
          4.2,
          5.1,
          5.2,
          4.5,
          5.5,
          3.7,
          6.2,
          6.2,
          4.3,
          7.2,
          5.8,
          5.1,
          6.7,
          3.8,
          6.3,
          4.1,
          4.7,
          7.6,
          5.2,
          5.1,
          7.1,
          6.3,
          9.7,
          3.5,
          4.5,
          4.7,
          4.8,
          4.9,
          7.2,
          3.3,
          6.3,
          6.4,
          3.9,
          4.4,
          4.8,
          6.2,
          6.5,
          7,
          6.9,
          4.9,
          6.4,
          5.9,
          7.8,
          6.3,
          4.2,
          5.8,
          6.7,
          6.6,
          6.9,
          6.4,
          5.1,
          5.7,
          5.8,
          5.6,
          5.1,
          5,
          4.3,
          5.1,
          4.6,
          5,
          5.4,
          5.9,
          6.7,
          4.9,
          4.2,
          4.3,
          4.7,
          4,
          5.2,
          7.6,
          6.3,
          5.9,
          5,
          5.3,
          6.6,
          4.6,
          5.1,
          6.9,
          7.5,
          6,
          4.2,
          3.9,
          6.4,
          7.4,
          7.1,
          5.6,
          6,
          4.1,
          4.8,
          4.9,
          5.6,
          6.6,
          8.2,
          8,
          5.2,
          6.4,
          7.8,
          7.1,
          7.3,
          6.9,
          5.4,
          5.7,
          4.2,
          6.8,
          4.5,
          5.4,
          6.4,
          6.7,
          6.7,
          6,
          5.8,
          6.3,
          4.2,
          4.3,
          5.2,
          6.3,
          4.7,
          6.8,
          6.4,
          7.9,
          6.2,
          4.7,
          7.3,
          7.2,
          5.7,
          7.2,
          4.8,
          7.3,
          5.5,
          6.2,
          5.9,
          5.9,
          6.2,
          4.7,
          4.6,
          4.8,
          4.7,
          5.7,
          4.8,
          5.3,
          4.8,
          8.5,
          4.4,
          9,
          7,
          4.6,
          4.4,
          6,
          3.9,
          5.7,
          6.9,
          4.8,
          6.3,
          5.4,
          6,
          6.6,
          4.4,
          5.5,
          7,
          5.1,
          6.5,
          4.1,
          5,
          5.7,
          5.6,
          4.2,
          5.1,
          5.2,
          5,
          6.9,
          4,
          5.5,
          8.4,
          8.2,
          4.4,
          5,
          8.6,
          4.8,
          4.7,
          4.4,
          4.6,
          5.7,
          6,
          7.5,
          4.5,
          2.1,
          2.5,
          3.7,
          2.6,
          2.6,
          2.5,
          2.4,
          7.9,
          3.2,
          2.8,
          3,
          3.7,
          2.8,
          2.9,
          4.2,
          3.8,
          2.3,
          4.1,
          4.6,
          8.5,
          2.4,
          2.2,
          4.2,
          2.5,
          3.1,
          2.9,
          2.3,
          3.2,
          2,
          3.2,
          2.7,
          2.2,
          2.4,
          2.5,
          3.9,
          2.2,
          2.3,
          2.5,
          3.2,
          3.1,
          2,
          4.5,
          2.3,
          3.3,
          3.6,
          3,
          3.9,
          2.5,
          2.4,
          3.4,
          10,
          2.9,
          2.8,
          2.6,
          3.9,
          2.8,
          2.9,
          2.2,
          2.2,
          6.1,
          2.1,
          2.7,
          2.9,
          4.8,
          2.4,
          4.2,
          5,
          5.1,
          7.3,
          7.1,
          4.5,
          4.5,
          7,
          4.7,
          6.8,
          5.7,
          4,
          5.1,
          6.3,
          6.7,
          6.5,
          4.8,
          5.3,
          6,
          3.6,
          7,
          5.7,
          4.4,
          6.3,
          5.2,
          6.3,
          5,
          6,
          4.1,
          5.5,
          5.5,
          6.7,
          5.2,
          4.7,
          8,
          6.3,
          6.1,
          5.5,
          6.6,
          7,
          5.9,
          4.6,
          7.7,
          6.1,
          7.2,
          5.4,
          4.9,
          4.1,
          7.9,
          7.8,
          5.8,
          6.1,
          4.2,
          4.8,
          5.5,
          7.1,
          4.4,
          5,
          6.4,
          4.6,
          4.1,
          6.9,
          5.4,
          5.2,
          3.9,
          6.6,
          7.2,
          5.5,
          6.5,
          6.7,
          5.8,
          5,
          7.4,
          5.6,
          4.2,
          3.8,
          7.6,
          5.9,
          5,
          5.5,
          4.6,
          7,
          5.3,
          3.9,
          5.8,
          4.9,
          7.2,
          5.8,
          6.3,
          4.9,
          4.9,
          6.7,
          6.1,
          5.1,
          3.5,
          3.9,
          4.3,
          4.8,
          6,
          5.7,
          4.4,
          2.8,
          5.3,
          5.3,
          4.4,
          4.1,
          3.7,
          3.6,
          7.7,
          4.4,
          3.7,
          3.1,
          3.6,
          4.3,
          4.7,
          5.2,
          3.4,
          3.8,
          4.4,
          11.9,
          4.4,
          4.7,
          3.5,
          4.3,
          5.6,
          4.3,
          7.2,
          6.8,
          3.4,
          7.3,
          3.1,
          6.1,
          5.2,
          3.1,
          4.5,
          5.6,
          4.1,
          5.9,
          3.5,
          3.5,
          4.8,
          3.6,
          4.3,
          3.6,
          4,
          4.5,
          5.4,
          8.5,
          7.6,
          4.4,
          3.8,
          2.3,
          4,
          5.1,
          3.1,
          4,
          3.4,
          5.6,
          5.1,
          7.2,
          4.3,
          11.1,
          5.5,
          6.4,
          4.9,
          3.8,
          4.9,
          4.1,
          4.5,
          3.8,
          3.7,
          4.4,
          5.2,
          3.9,
          5,
          5,
          6.9,
          5,
          3.7,
          5.3,
          3.9,
          2.8,
          3.8,
          5.8,
          4.3,
          7,
          3.8,
          6.1,
          6.7,
          3.6,
          5.7,
          7.1,
          4.9,
          3.1,
          3.9,
          6.1,
          5.3,
          6.1,
          2.2,
          4.4,
          3.3,
          3.8,
          4.7,
          7.8,
          4.5,
          4.7,
          4.7,
          4,
          4.5,
          5.6,
          6.7,
          4.3,
          5.6,
          3.2,
          4.9,
          4.8,
          7.8,
          2.9,
          7,
          9.6,
          10.7,
          4.3,
          5.9,
          4.9,
          3.8,
          3.2,
          5.2,
          3,
          3.6,
          3.9,
          4,
          6,
          6.9,
          4.4,
          4.6,
          6.6,
          4.1,
          5.2,
          4.3,
          3.8,
          6.6,
          7.6,
          5.7,
          4.6,
          6,
          4.1,
          4.3,
          3.4,
          4,
          4.6,
          4,
          2.2,
          5.1,
          7.1,
          4.4,
          3.7,
          7.4,
          11.3,
          4.4,
          4.6,
          4.4,
          5.2,
          4.2,
          7.2,
          5,
          4.9,
          3,
          11,
          3.7,
          4.7,
          4.2,
          8.1,
          4.9,
          5.7,
          5.4,
          3,
          6.8,
          5.6,
          7.4,
          4.1,
          2.5,
          5.9,
          6.3,
          3.3,
          10.7,
          4,
          3,
          6.6,
          5.7,
          5.9,
          5.6,
          6.8,
          4.7,
          5,
          3.5,
          4.1,
          5.8,
          9.6,
          9.1,
          6.3,
          7.6,
          3.4,
          5.7,
          5.9,
          3.9,
          6,
          2.9,
          4.5,
          4.7,
          13.6,
          5.3,
          4.2,
          4.6,
          8,
          4.3,
          3.9,
          3.7,
          4.1,
          4.9,
          3.7,
          6.2,
          4.5,
          3.1,
          6.3,
          7.6,
          6.5,
          5.4,
          5.3,
          6.3,
          4.3,
          5.4,
          5.3,
          5.7,
          5.8,
          5.1,
          4.9,
          5,
          5,
          4.4,
          4.8,
          12.4,
          3.3,
          3.9,
          7.9,
          4.8,
          5.3,
          4.7,
          4.4,
          11,
          14.1,
          5,
          3.5,
          3.1,
          5.9,
          4.9,
          3.1,
          8.9,
          6.3,
          8.4,
          5.8,
          4.3,
          3.6,
          3.8,
          3.3,
          3,
          6,
          3.2,
          3.2,
          8,
          3.9,
          4.4,
          3.1,
          3.8,
          9.3,
          3,
          3.3,
          3.7,
          7.7,
          3.8,
          3.1,
          3.8,
          4.1,
          2.5,
          5.9,
          3.2,
          4,
          4.3,
          3.1,
          5.2,
          3.9,
          3.2,
          3.3,
          2.9,
          4.8,
          3.5,
          5.1,
          4.2,
          4.3,
          4.6,
          2.6,
          3.6,
          3.7,
          4.1,
          5.2,
          3.6,
          6,
          10.8,
          5.3,
          4.4,
          4.4,
          5.1,
          4.5,
          5,
          3.8,
          3.5,
          4.7,
          3.8,
          4.6,
          9.9,
          4.8,
          4.8,
          3.2,
          3.4,
          4,
          3.3,
          4.3,
          3.5,
          5.3,
          3.7,
          3.7,
          5.2,
          3.2,
          5.1,
          5.8,
          3.5,
          3.8,
          5.6,
          3.2,
          4.3,
          3.9,
          4.2,
          4.2,
          3.7,
          5.6,
          6.8,
          3.2,
          3.8,
          4.6,
          3.1,
          4,
          5.6,
          3.8,
          4,
          3.6,
          3.4,
          5.7,
          5.4,
          3.9,
          4,
          5.6,
          4.8,
          4.7,
          3.5,
          5.3,
          4.8,
          3.6,
          5.8,
          3.5,
          3.7,
          3.5,
          4.4,
          3.5,
          6.5,
          4.8,
          3.7,
          5.8,
          3.9,
          4.1,
          3.9,
          5.3,
          6.1,
          7.5,
          4,
          4.5,
          4.6,
          8.5,
          5.7,
          3.9,
          2.9,
          5.1,
          5.1,
          3.3,
          4.3,
          4.4,
          5.8,
          6,
          6.5,
          3,
          2.7,
          5.9,
          4.7,
          5,
          5.6,
          4.7,
          6.5,
          6.3,
          5.2,
          3.6,
          3.5,
          7.1,
          5.1,
          5.2,
          6.8,
          7.6,
          3.5,
          6.1,
          5.4,
          4.6,
          4.3,
          3.9,
          3.9,
          4.7,
          3.9,
          4.1,
          5.6,
          3.9,
          6.8,
          5.1,
          6.5,
          5.9,
          7.9,
          6.3,
          6.8,
          7.5,
          7.1,
          10.8,
          7.6,
          6,
          7.4,
          8.7,
          6,
          7.3,
          3.9,
          5.8,
          6,
          7.1,
          8.1,
          5.7,
          7.8,
          6.9,
          8.3,
          9.1,
          6.3,
          4.8,
          6.8,
          7.2,
          4.4,
          6.3,
          8.6,
          5.8,
          9,
          5.6,
          6,
          5.1,
          8,
          6.7,
          3.8,
          8.9,
          8.6,
          6.9,
          4.7,
          12.6,
          10.2,
          4.9,
          7.9,
          8.2,
          5.8,
          5.3,
          4.2,
          6.9,
          5.6,
          5.8,
          6.4,
          3.3,
          5.4,
          8.4,
          8.4,
          10.1,
          12.1,
          6.4,
          7.9,
          7.1,
          6.5,
          5.9,
          12.5,
          4.3,
          4.5,
          4.3,
          8.8,
          5.5,
          3.9,
          8.1,
          6.6,
          5.6,
          4.8,
          6.9,
          5.9,
          6.5,
          10.1,
          6.1,
          5.5,
          5.3,
          8.7,
          7.4,
          6.5,
          8.3,
          9.2,
          8.7,
          5.7,
          10.1,
          6.2,
          5.6,
          4.7,
          7.1,
          3.7,
          4.6,
          6.2,
          3.3,
          4.4,
          4,
          3.7,
          5,
          2.9,
          3.8,
          5.1,
          5.5,
          4.2,
          3.5,
          6.2,
          3.6,
          6.4,
          4.1,
          3.4,
          5,
          3.6,
          7.7,
          4.5,
          4,
          4.6,
          4.8,
          3.8,
          3.7,
          3.3,
          5.3,
          4.5,
          4.5,
          3.7,
          5.6,
          5.2,
          7.8,
          5.1,
          4,
          4.6,
          5,
          3.6,
          3.5,
          3.9,
          4.2,
          4.7,
          3.9,
          4.4,
          5.1,
          3.8,
          4.6,
          5.3,
          3.9,
          3.7,
          6.5,
          4.3,
          3.5,
          4.3,
          3.8,
          3.7,
          5.8,
          4.1,
          5.2,
          3.5,
          3.6,
          4.1,
          5.2,
          3.7,
          5,
          3.2,
          4.9,
          7.1,
          4.6,
          6.2,
          4.5,
          7.1,
          3.4,
          4.8,
          5.3,
          4.1,
          4.6,
          7.1,
          3.2,
          4.7,
          4.8,
          4.6,
          6.4,
          6,
          3.4,
          5.8,
          4.7,
          4.9,
          16.9,
          14,
          14.8,
          14.3,
          15,
          12.9,
          13.2,
          18.4,
          14.2,
          13,
          8.9,
          12.5,
          10.3,
          12.4,
          11.6,
          8.6,
          10,
          10.7,
          13,
          16.2,
          10.3,
          18.2,
          13.7,
          12.4,
          3.3,
          8,
          13.7,
          14.5,
          18.2,
          16.4,
          18.7,
          6,
          8.6,
          15.6,
          12.3,
          14.1,
          14.1,
          13.1,
          14.7,
          13.3,
          18.5,
          19.2,
          14.9,
          13.6,
          11.4,
          14.2,
          11.6,
          15.2,
          18.5,
          13.7,
          15.5,
          13.5,
          12.4,
          13,
          15.5,
          20.6,
          16.6,
          13.4,
          16,
          15.7,
          10.5,
          15.9,
          21.7,
          15.1,
          7.9,
          12.6,
          18.9,
          16.8,
          8.4,
          8.9,
          7.2,
          15.5,
          11.6,
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make a plot\n",
    "fig = px.choropleth_mapbox(df, geojson=counties, locations='fips', color='unemp',\n",
    "                           color_continuous_scale=\"Viridis\",\n",
    "                           range_color=(0, 12),\n",
    "                           mapbox_style=\"carto-positron\",\n",
    "                           zoom=3, center = {\"lat\": 37.0902, \"lon\": -95.7129},\n",
    "                           opacity=0.5,\n",
    "                           labels={'unemp':'unemployment rate'}\n",
    "                          )\n",
    "fig.update_layout(margin={\"r\":0,\"t\":0,\"l\":0,\"b\":0})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 4. GIS maps: cartopy and shapely"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "import cartopy\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.io.shapereader as shpreader\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patheffects as PathEffects\n",
    "from shapely.geometry import LineString, MultiLineString, MultiPolygon\n",
    "import shapely.wkt as wkt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 4A. read shapefiles and highligh specific country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['featurecla', 'scalerank', 'LABELRANK', 'SOVEREIGNT', 'SOV_A3', 'ADM0_DIF', 'LEVEL', 'TYPE', 'ADMIN', 'ADM0_A3', 'GEOU_DIF', 'GEOUNIT', 'GU_A3', 'SU_DIF', 'SUBUNIT', 'SU_A3', 'BRK_DIFF', 'NAME', 'NAME_LONG', 'BRK_A3', 'BRK_NAME', 'BRK_GROUP', 'ABBREV', 'POSTAL', 'FORMAL_EN', 'FORMAL_FR', 'NAME_CIAWF', 'NOTE_ADM0', 'NOTE_BRK', 'NAME_SORT', 'NAME_ALT', 'MAPCOLOR7', 'MAPCOLOR8', 'MAPCOLOR9', 'MAPCOLOR13', 'POP_EST', 'POP_RANK', 'POP_YEAR', 'GDP_MD', 'GDP_YEAR', 'ECONOMY', 'INCOME_GRP', 'FIPS_10', 'ISO_A2', 'ISO_A2_EH', 'ISO_A3', 'ISO_A3_EH', 'ISO_N3', 'ISO_N3_EH', 'UN_A3', 'WB_A2', 'WB_A3', 'WOE_ID', 'WOE_ID_EH', 'WOE_NOTE', 'ADM0_A3_IS', 'ADM0_A3_US', 'ADM0_A3_FR', 'ADM0_A3_RU', 'ADM0_A3_ES', 'ADM0_A3_CN', 'ADM0_A3_TW', 'ADM0_A3_IN', 'ADM0_A3_NP', 'ADM0_A3_PK', 'ADM0_A3_DE', 'ADM0_A3_GB', 'ADM0_A3_BR', 'ADM0_A3_IL', 'ADM0_A3_PS', 'ADM0_A3_SA', 'ADM0_A3_EG', 'ADM0_A3_MA', 'ADM0_A3_PT', 'ADM0_A3_AR', 'ADM0_A3_JP', 'ADM0_A3_KO', 'ADM0_A3_VN', 'ADM0_A3_TR', 'ADM0_A3_ID', 'ADM0_A3_PL', 'ADM0_A3_GR', 'ADM0_A3_IT', 'ADM0_A3_NL', 'ADM0_A3_SE', 'ADM0_A3_BD', 'ADM0_A3_UA', 'ADM0_A3_UN', 'ADM0_A3_WB', 'CONTINENT', 'REGION_UN', 'SUBREGION', 'REGION_WB', 'NAME_LEN', 'LONG_LEN', 'ABBREV_LEN', 'TINY', 'HOMEPART', 'MIN_ZOOM', 'MIN_LABEL', 'MAX_LABEL', 'NE_ID', 'WIKIDATAID', 'NAME_AR', 'NAME_BN', 'NAME_DE', 'NAME_EN', 'NAME_ES', 'NAME_FA', 'NAME_FR', 'NAME_EL', 'NAME_HE', 'NAME_HI', 'NAME_HU', 'NAME_ID', 'NAME_IT', 'NAME_JA', 'NAME_KO', 'NAME_NL', 'NAME_PL', 'NAME_PT', 'NAME_RU', 'NAME_SV', 'NAME_TR', 'NAME_UK', 'NAME_UR', 'NAME_VI', 'NAME_ZH', 'NAME_ZHT', 'FCLASS_ISO', 'FCLASS_US', 'FCLASS_FR', 'FCLASS_RU', 'FCLASS_ES', 'FCLASS_CN', 'FCLASS_TW', 'FCLASS_IN', 'FCLASS_NP', 'FCLASS_PK', 'FCLASS_DE', 'FCLASS_GB', 'FCLASS_BR', 'FCLASS_IL', 'FCLASS_PS', 'FCLASS_SA', 'FCLASS_EG', 'FCLASS_MA', 'FCLASS_PT', 'FCLASS_AR', 'FCLASS_JP', 'FCLASS_KO', 'FCLASS_VN', 'FCLASS_TR', 'FCLASS_ID', 'FCLASS_PL', 'FCLASS_GR', 'FCLASS_IT', 'FCLASS_NL', 'FCLASS_SE', 'FCLASS_BD', 'FCLASS_UA'])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shpfilename = shpreader.natural_earth(resolution='110m',\n",
    "                                      category='cultural',\n",
    "                                      name='admin_0_countries')\n",
    "reader = shpreader.Reader(shpfilename)\n",
    "countries = reader.records()\n",
    "\n",
    "country1 = next(countries)\n",
    "country1.attributes.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# just like before, create a graphic object using a PlateCarree projection\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "\n",
    "# now add a bunch o'features\n",
    "#  land, ocean, coast, borders, lakes, rivers\n",
    "ax.add_feature(cartopy.feature.LAND)\n",
    "ax.add_feature(cartopy.feature.OCEAN)\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "ax.add_feature(cartopy.feature.LAKES, alpha=0.95)\n",
    "ax.add_feature(cartopy.feature.RIVERS)\n",
    "\n",
    "# 'zoom' into a region\n",
    "ax.set_extent([-20, 60, 10, 80],crs = ccrs.PlateCarree())\n",
    "\n",
    "# read in shapefile (note this one comes with our install)\n",
    "shpfilename = shpreader.natural_earth(resolution='110m',\n",
    "                                      category='cultural',\n",
    "                                      name='admin_0_countries')\n",
    "reader = shpreader.Reader(shpfilename)\n",
    "countries = reader.records()\n",
    "\n",
    "# highligh specific country\n",
    "for country in countries:\n",
    "    if country.attributes['SOVEREIGNT'] == \"Norway\":\n",
    "        ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(0, 1, 0))\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (20,20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 4B. make a map using an attribute from the shapefile\n",
    "\n",
    "Typically shapefiles have a database attached, and we can access this information in our plots.  In this case, we look for the gross regional product (GRP).  We can then make a \"heat map\", _i.e._, color shade by this value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.add_feature(cartopy.feature.LAND)\n",
    "ax.add_feature(cartopy.feature.OCEAN)\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "ax.add_feature(cartopy.feature.LAKES, alpha=0.3)\n",
    "ax.add_feature(cartopy.feature.RIVERS)\n",
    "\n",
    "ax.set_extent([-150, 60, -25, 60])\n",
    "\n",
    "shpfilename = shpreader.natural_earth(resolution='110m', category='cultural', \n",
    "                                      name='admin_0_countries')\n",
    "reader = shpreader.Reader(shpfilename)\n",
    "countries = reader.records()\n",
    "\n",
    "# loop through all countries, color shade as follows:\n",
    "#   GRP starts with 1: cyan\n",
    "#   GRP starts with 2: blue\n",
    "#   GRP starts with 3: navy blue\n",
    "#   GRP starts with 4: pink\n",
    "#   GRP starts with 5: red\n",
    "'''\n",
    "for country in countries:\n",
    "    if country.attributes['INCOME_GRP'].startswith(\"1\"):\n",
    "        ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(0, 1, 1))\n",
    "    elif country.attributes['INCOME_GRP'].startswith(\"2\"):\n",
    "        ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(0, 0, 1))            \n",
    "    elif country.attributes['INCOME_GRP'].startswith(\"3\"):\n",
    "        ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(0, 0, 0.5))\n",
    "    elif country.attributes['INCOME_GRP'].startswith(\"4\"):\n",
    "        ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(1, 0, 0.5))\n",
    "    elif country.attributes['INCOME_GRP'].startswith(\"5\"):\n",
    "        ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(1, 0, 0))\n",
    "'''\n",
    "for country in countries:\n",
    "    if country.attributes['INCOME_GRP'].startswith(\"1\"):\n",
    "        try:\n",
    "            ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(1,1,1)) \n",
    "        except Exception as e:\n",
    "            list_str_polygons = [str(country.geometry)]\n",
    "            c = MultiPolygon(map(wkt.loads, list_str_polygons))\n",
    "            ax.add_geometries(c, ccrs.PlateCarree(), facecolor=(1,1,1))\n",
    "    elif country.attributes['INCOME_GRP'].startswith(\"2\"):\n",
    "        try:\n",
    "            ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(1,0,1)) \n",
    "        except Exception as e:\n",
    "            list_str_polygons = [str(country.geometry)]\n",
    "            c = MultiPolygon(map(wkt.loads, list_str_polygons))\n",
    "            ax.add_geometries(c, ccrs.PlateCarree(), facecolor=(1,1,1))\n",
    "    elif country.attributes['INCOME_GRP'].startswith(\"3\"):\n",
    "        try:\n",
    "            ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(0,0,0.5)) \n",
    "        except Exception as e:\n",
    "            list_str_polygons = [str(country.geometry)]\n",
    "            c = MultiPolygon(map(wkt.loads, list_str_polygons))\n",
    "            ax.add_geometries(c, ccrs.PlateCarree(), facecolor=(1,1,1))\n",
    "    elif country.attributes['INCOME_GRP'].startswith(\"4\"):\n",
    "        try:\n",
    "            ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(1,0,0.5)) \n",
    "        except Exception as e:\n",
    "            list_str_polygons = [str(country.geometry)]\n",
    "            c = MultiPolygon(map(wkt.loads, list_str_polygons))\n",
    "            ax.add_geometries(c, ccrs.PlateCarree(), facecolor=(1,1,1))\n",
    "    elif country.attributes['INCOME_GRP'].startswith(\"5\"):\n",
    "        try:\n",
    "            ax.add_geometries(country.geometry, ccrs.PlateCarree(), facecolor=(1,0,0)) \n",
    "        except Exception as e:\n",
    "            list_str_polygons = [str(country.geometry)]\n",
    "            c = MultiPolygon(map(wkt.loads, list_str_polygons))\n",
    "            ax.add_geometries(c, ccrs.PlateCarree(), facecolor=(1,1,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## 4C. add labels to countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.add_feature(cartopy.feature.LAND)\n",
    "ax.add_feature(cartopy.feature.OCEAN)\n",
    "ax.add_feature(cartopy.feature.COASTLINE)\n",
    "ax.add_feature(cartopy.feature.BORDERS, linestyle='-', alpha=.5)\n",
    "ax.add_feature(cartopy.feature.LAKES, alpha=0.3)\n",
    "ax.add_feature(cartopy.feature.RIVERS)\n",
    "\n",
    "ax.set_extent([-150, 60, -25, 60])\n",
    "\n",
    "shpfilename = shpreader.natural_earth(resolution='110m', category='cultural', \n",
    "                                      name='admin_0_countries')\n",
    "reader = shpreader.Reader(shpfilename)\n",
    "countries = reader.records()\n",
    "\n",
    "my_color = 0.01\n",
    "for country in countries:\n",
    "    my_color = my_color + .1\n",
    "    if my_color > 1:\n",
    "        my_color = .01\n",
    "    try:\n",
    "        g = ax.add_geometries(country.geometry, ccrs.PlateCarree(), \n",
    "                              facecolor=(my_color, 1, 0))\n",
    "    except Exception as e:\n",
    "        list_str_polygons = [str(country.geometry)]\n",
    "        c = MultiPolygon(map(wkt.loads, list_str_polygons))\n",
    "        g = ax.add_geometries(c, ccrs.PlateCarree(), facecolor=(my_color,1,0))\n",
    "    x = country.geometry.centroid.x        \n",
    "    y = country.geometry.centroid.y\n",
    "    ax.text(x, y, country.attributes['NAME'], color='blue', size=7, \n",
    "            ha='center', va='center', transform=ccrs.PlateCarree(), \n",
    "            path_effects=[PathEffects.withStroke(linewidth=0, foreground=\"k\", \n",
    "                                                 alpha=.6)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}