{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e9decd8f-b290-40ec-9694-c4680c8c00f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas_datareader as pdr\n",
    "import datetime as dt\n",
    "import statsmodels.formula.api as smf\n",
    "import statsmodels.api as sm\n",
    "\n",
    "from statsmodels.graphics.tsaplots import plot_acf\n",
    "from statsmodels.graphics.tsaplots import pacf as pacf_func\n",
    "from statsmodels.graphics.tsaplots import acf as acf_func\n",
    "import statsmodels.graphics.tsaplots as tsa\n",
    "\n",
    "from statsmodels.graphics.tsaplots import plot_pacf\n",
    "from statsmodels.tsa.arima_process import ArmaProcess\n",
    "\n",
    "from statsmodels.tsa.arima.model import ARIMA\n",
    "\n",
    "plt.style.use(\"ggplot\")\n",
    "\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "from statsmodels.tsa.stattools import adfuller"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c784d493-e49b-4952-9e69-4d45f72c3dcb",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> AR Model </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5446cec1-aa1d-49f8-93e7-33eda78d20a9",
   "metadata": {},
   "source": [
    "We have introduced $\\text{AR}$ and $\\text{MA}$ models in previous chapters, in this chapter we will discuss the practical issues of both models.\n",
    "$$\n",
    "\\text{AR(1)}: \\qquad Y_{t}=\\phi_0+\\phi_{1} Y_{t-1}+u_{t}\n",
    "$$\n",
    "If $\\phi<0$, the time series exhibits mean-reversion feature, if $\\phi>0$ exhibits trend-following feature. One reminder, ```ArmaProcess``` needs zero lag coefficient $1$ to be input explicitly and the sign from lag $1$ onward must be sign-reversed.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4f4d1de1-b735-4ea8-a410-e9156dfa97f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "ar_params = np.array([1, 0.9])\n",
    "ma_params = np.array([1])\n",
    "ar1 = ArmaProcess(ar_params, ma_params)\n",
    "ar1_sim = ar1.generate_sample(nsample=100)\n",
    "ar1_sim = pd.DataFrame(ar1_sim, columns=[\"AR(1)\"])\n",
    "ar1_acf = acf_func(ar1_sim.values, fft=False, nlags=50)\n",
    "\n",
    "ar_params1 = np.array([1, -0.9])\n",
    "ma_params1 = np.array([1])\n",
    "ar1_pos = ArmaProcess(ar_params1, ma_params1)\n",
    "ar1_sim_pos = ar1_pos.generate_sample(nsample=100)\n",
    "ar1_sim_pos = pd.DataFrame(ar1_sim_pos, columns=[\"AR(1)\"])\n",
    "ar1_acf_pos = acf_func(ar1_sim_pos.values, fft=False, nlags=50)\n",
    "\n",
    "ar_params2 = np.array([1, -0.8, -0.2])\n",
    "ma_params2 = np.array([1])\n",
    "ar2 = ArmaProcess(ar_params2, ma_params2)\n",
    "ar2_sim = ar2.generate_sample(nsample=100)\n",
    "ar2_sim = pd.DataFrame(ar2_sim, columns=[\"AR(2)\"])\n",
    "ar2_acf = acf_func(ar2_sim.values, fft=False, nlags=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4d71891b-db3d-4f76-adb4-d35e9ac57fb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2500x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(25, 10), nrows=2, ncols=3)\n",
    "ax[0, 0].plot(ar1_sim, label=\"$Y_t = {%s}Y_{t-1}+u_t$\" % (-ar_params[1]))\n",
    "ax[0, 0].legend()\n",
    "ax[1, 0].bar(\n",
    "    np.arange(len(ar1_acf)), ar1_acf, color=\"tomato\", label=\"AR(1) autocorrelation\"\n",
    ")\n",
    "ax[1, 0].legend()\n",
    "\n",
    "ax[0, 1].plot(ar1_sim_pos, label=\"$Y_t = {%s}Y_{t-1}+u_t$\" % (-ar_params1[1]))\n",
    "ax[0, 1].legend()\n",
    "ax[1, 1].bar(\n",
    "    np.arange(len(ar1_acf_pos)),\n",
    "    ar1_acf_pos,\n",
    "    color=\"tomato\",\n",
    "    label=\"AR(1) autocorrelation\",\n",
    ")\n",
    "ax[1, 1].legend()\n",
    "\n",
    "ax[0, 2].plot(\n",
    "    ar2_sim,\n",
    "    label=\"$Y_t = {%s} Y_{t-1}+{%s} Y_{t-2}+u_t$\" % (-ar_params2[1], -ar_params2[2]),\n",
    ")\n",
    "ax[0, 2].legend()\n",
    "ax[1, 2].bar(\n",
    "    np.arange(len(ar2_acf)), ar2_acf, color=\"tomato\", label=\"AR(2) autocorrelation\"\n",
    ")\n",
    "ax[1, 2].legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "472b7d9d-c6fc-48c1-8d8a-6a3500af6922",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\">  Estimation and Forecast of AR</font> "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdb079e8-b618-48e8-949f-441e1dc26f59",
   "metadata": {},
   "source": [
    "Output ```sigma2``` is the variance of residuals. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "66fbb09b-aa86-4536-9914-4a92e7a728e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               SARIMAX Results                                \n",
      "==============================================================================\n",
      "Dep. Variable:                  AR(1)   No. Observations:                  100\n",
      "Model:                 ARIMA(1, 0, 0)   Log Likelihood                -145.824\n",
      "Date:                Sun, 09 Jun 2024   AIC                            297.648\n",
      "Time:                        19:00:01   BIC                            305.464\n",
      "Sample:                             0   HQIC                           300.811\n",
      "                                - 100                                         \n",
      "Covariance Type:                  opg                                         \n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         -0.4271      0.639     -0.669      0.504      -1.679       0.825\n",
      "ar.L1          0.8397      0.057     14.730      0.000       0.728       0.951\n",
      "sigma2         1.0686      0.156      6.868      0.000       0.764       1.374\n",
      "===================================================================================\n",
      "Ljung-Box (L1) (Q):                   3.27   Jarque-Bera (JB):                 0.11\n",
      "Prob(Q):                              0.07   Prob(JB):                         0.95\n",
      "Heteroskedasticity (H):               1.16   Skew:                             0.07\n",
      "Prob(H) (two-sided):                  0.66   Kurtosis:                         2.92\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
     ]
    }
   ],
   "source": [
    "mod_obj = ARIMA(ar1_sim_pos, order=(1, 0, 0))\n",
    "result = mod_obj.fit()\n",
    "print(result.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "33481290-cd8f-44f5-9b06-906450777c58",
   "metadata": {},
   "outputs": [],
   "source": [
    "res_predict = result.predict(start=5, end=110)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bc9798e6-fb6d-48da-8554-4f9b469dd368",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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75syZg5ycnB73L1y4ELfddpv+Ou4Lv9+Pxx9/HCaTKei1npOTg1NPPRWvvPIK3nnnHZx22mkh9+8+bEQIgccff1wPXHdVV1cHQHkNxJv271RbWxv3xyYiIhquGCgkIiIaQqTaj9AILRunK+2kftWqVWGHRQBAa2ur/nVTUxNycnJCBt9CPUc4WmZaSUmJ4X2iofVgDJfZpN2uraOrUH3fLBblMKq3zKvuuvaE60rrD/fNN99g9erVIYOCRteg/ZwjRowIuYZo/k+i0Zd/395eiy+99FKvz6u9FqN9/dx333245pprkJ2djWOPPRajR4+Gw+GAEAKvv/46vvvuu6Dsx2uvvRZ5eXl48MEH8c9//hP33nsvhBCYN28e/va3v4X8P4tGX/79orVs2TKUlZXh+OOP7/Hv1bVnZrhAofY509bWhi+++AKXXXYZrrzySpSWlvYIFKempgIAOjo6+rzu7lwuV9BzEBERUd8xUEhERDRMdR9uAkAvS/1//+//4e9//7uhx8nMzER9fT08Hk+PYGF1dbXh9WiBsMrKSsyYMcPwfkZpP1u4NVVVVQVtF2/r1q3TS4QPP/zwsNs98sgjfQo6aevfu3dvyPuj+T+J5Xmrq6sxffr0Hvf39u/b22vxjTfeCBuw6qrr6ycSr9eLJUuWoLCwEGvWrOkRnNOyGbu76KKLcNFFF6GxsRGff/45XnvtNTzxxBM4/vjjsWnTpj5lF/bn61MLWC9btizkvz0A/O9//0N5ebmetRqK0+nEMcccg7feeguzZ8/G4sWLsXnzZjgcDn0bbTCNFviNJ+0xtecgIiKivmOPQiIiItIdcsghMJlM+PTTTw3vM3v2bPj9fnz22Wc97vvoo48MP85hhx0GAHj33XcNbW8ymaLK5tP6MX722Wc9SkwBYMWKFQCUnycRtODM/Pnzcdlll4X8k5qaiueffz4oYzNa2vpDlRc3NTXh22+/jfmxe6P9+4b6P29sbMS3336LlJQUTJ061dDjaa8Ho6/FKVOmICsrC+vWrcOePXt63ba2thaNjY044ogjegQJW1tb9TLqcLKysnDSSSfh0UcfxcUXX4z6+np88skn+v1msxlAdNmmkydPhsPhwHfffRcyazBer8/q6mq8/fbbyMjICPs6nDNnDnw+H5544glDjzlz5kz87Gc/Q0VFBf7xj38E3Td9+nSYzWZs2rSpT+sORXvMWbNmxf2xiYiIhisGComIiEhXUFCACy64AKtXr8af//znkIGO7du3Y+fOnfr3Wl+yG2+8Mai8sL6+Hrfddpvh5168eDEyMjLw0EMPBQVdNBUVFUHf5+bmory83PDjjxw5Esceeyx27dqFe++9N+i+r776Cs899xyys7P1ISPx5HK58Oyzz8JsNuPZZ5/FY489FvLPWWedhdbWVjz//PMxP9eiRYuQnZ2N5557DqtXrw66b8mSJXqJa7xdeOGFsFqtuP/++7Ft27ag+/70pz+hubkZF154YY8hI+EsWrQI48ePx7/+9S/897//DbnNF198gfb2dgBKcO6qq66Cy+XClVde2WNoitvtRk1NDQDlde5wOPDNN98EBWU9Hg9+/etfh+x5t2LFipCl/fv27QOAoCy63NxcANEN2bDZbLjgggvQ0tLSYwjQ9u3b8c9//hNWqxU/+clPDD9mKE888QS8Xi8uuOCCsK/DJ598Uu876Pf7DT3uH//4R9jtdtx9991BPTO1vpjr1q3TS4Xj5csvv0ReXh7222+/uD4uERHRcMbSYyIiIgrywAMPYOvWrbjpppvw9NNPY+7cuRgxYgT27NmDjRs3YtWqVXj++ecxduxYAMB5552HF198EW+++Sb2228/LFq0CB6PBy+//DIOPvhgbN++3dDz5uXl4bnnnsPZZ5+NBQsW4MQTT8TMmTPR3NyMdevWoby8PChAefTRR+OFF17AqaeeitmzZ8NqteKoo47CUUcdFfY5/v3vf2POnDn43e9+h+XLl+Oggw5CeXk5XnrpJZhMJixdujTkJNy+evHFF9HY2IhTTz2110EbP/3pT/HMM8/gkUcewc9+9rOYnistLQ2PPPIIzj33XBx55JE499xzUVRUhM8++wzff/89jjrqqJCB2L4aM2YM7r33Xlx99dWYPXs2zjnnHOTn5+Pjjz/GF198gSlTpuCuu+4y/HhWqxWvvvoqjj/+eJx88sk44ogjMGvWLDgcDpSXl2PVqlXYsWMHqqqq9CDdzTffjK+++gpvvfUWJk2ahFNOOQXp6ekoLy/H8uXL8be//Q0XX3wxTCYTfvWrX+HOO+/EjBkzsGjRIrjdbqxYsQL19fVYsGCBnsGnOeOMM5CWlobDDjsMY8aMgZQSn376KVatWoUDDzwQxxxzjL7t0UcfjZdeeglnnnkmTjrpJKSmpqK0tDRikO/OO+/Ep59+igceeACrVq3CggULUFtbi//85z9oaWnBAw88oL/vYiGlxGOPPQZAea2FM2HCBMybNw8fffQR3n33XZx88skRH7ukpARXXnkl7rvvPvz1r3/FHXfcod931lln4ZtvvsGHH34Y8rHuvPNOPTtQy3hdunSpnqU8d+7cHuvdvHkzdu/ejcsvvzxs+TQRERHFQBIREVHSAyCN/lq/+eabJQC5YsWKsNt0dnbK+++/Xx5++OEyIyND2mw2OWrUKLlw4UL5j3/8Q9bW1vbY/pZbbpFjx46VNptNlpaWyhtuuEF2dHRIAHLevHmG1/D999/Ln/zkJ7K4uFharVZZUFAgjzrqKPnwww8Hbbd371553nnnyYKCAmkymSQAefPNN0sppdy5c6cEIBcvXtzj8SsqKuSVV14pR48eLa1Wq8zNzZWLFi2SX3/9dY9tly5dKgHIpUuXhvx3CvWzhXLEEUdIAPKNN96IuO2kSZMkALl27VoppZSLFy+WAOTOnTt7bLtixYqgn7ur5cuXyzlz5sjU1FSZlZUlTzvtNLlx48ZeHy8Ubftw/wbdLVu2TB577LEyKytL2mw2OX78ePm73/1ONjQ09Nh23rx5EV+3e/fulb///e/l9OnTZWpqqnQ6nXLChAnyrLPOkk8//bT0eDxB23s8Hnn//ffLgw8+WDqdTulwOOSECRPkz372M7l169ag7e655x45depUmZKSIkeMGCEvvPBCuWvXrpD/Rg899JA8/fTT5dixY2VqaqrMzs6Ws2bNknfddZdsbm4OWoPX65XXX3+9HDt2rLRYLIZfJ1JK2dDQIK+77jo5YcIEabPZZGZmpjzmmGPksmXLQm5fWloqS0tLDT328uXLJQB5wAEHRNz22WeflQDkaaedpt8W6XOmurpaOhwO6XA4ZHV1tX773r17pc1mk+ecc07I/bTXQbg/od7H119/fdD7hIiIiOJDSBnFeEQiIiIiIqIoXXHFFXjqqaewa9euPk/e7uzsxLhx4zB16lS8//77cVohERERAexRSERERERECXbrrbfCZrPh9ttv7/NjPfTQQ6iursY999wTh5URERFRVwwUEhERERFRQo0YMQLPPPMMiouLDQ9ICcdut+Pxxx/H/vvvH6fVERERkYalx0RERERERERERMSMQiIiIiIiIiIiImKgkIiIiIiIiIiIiMBAIREREREREREREYGBQiIiIiIiIiIiIgIDhURERERERERERATAMtALMKKhoQFer3egl5EQ+fn5qKmpGehlECUNvmeIosP3DFF0+J4hig7fM0TR4XuGBoLFYkF2draxbRO8lrjwer3weDwDvYy4E0IAUH4+KeUAr4Zo8ON7hig6fM8QRYfvGaLo8D1DFB2+ZygZsPSYiIiIiIiIiIiIGCgkIiIiIiIiIiIiBgqJiIiIiIiIiIgIDBQSERERERERERERkmSYSW+8Xi/a29sHehkxc7lccLvdA70MGsYcDgcslqT/KCAiIiIiIiKiPkrq6IDX60VbWxvS09NhMiVncqTVah2SE50pOfj9frS0tMDpdDJYSERERERERDTMJWd0TdXe3p7UQUKigWYymZCenp7UWblEREREREREFB9JH2FjkJCob/geIiIiIiIiIiJgCAQKiYiIiIiIiIiIqO8YKCQiIiIiIiIiIiIGCpOd2+3GnDlzsGrVKsP7bNmyBQceeCD70hERERERERERkY6BwgG0evVqFBYW4ic/+UnQ7eXl5SgpKdH/TJ8+HWeddRa++uqrHo/x9NNPY9SoUTj44IP12+677z6cdtppGD9+PKZOndpjn0mTJmH27Nl4+OGH4/9DERERERERERFRUmKgcAC98MIL+OlPf4qvvvoK1dXVIe9fu3YtXnnlFYwYMQKLFy9GTU2Nfr+UEkuXLsV5550XtJ/H48Epp5yCiy66KOxzn3vuuXj66afh9Xrj9wMREREREREREVHS6rdA4euvv45zzjkHTz75ZH895aDW1taGN998ExdffDGOPvpo/Oc//+mxTXZ2NgoKCjBlyhT88pe/REtLC9auXavfv27dOpSVleHoo48O2u+3v/0tLr/8ckyZMiXs8x911FFobGzEF198Eb8fioiIiIiIiIiIkla/BAq3bduG9957D6WlpQl9HiklZGdH//+RMuq1vvXWW5gwYQImTJiAM888Ey+++GLYx3G5XHj55ZcBAFarVb/9q6++wrhx45CWlhb189tsNkybNg1ff/111PsSEREREREREdHQY0n0E3R0dOD+++/HFVdcgVdffTWxT+buhP8X5yT2OUIwPfAfwJ4S1T7PP/88zjzzTADAggULcO211+KLL77AEUccoW+zaNEimEwmuFwuSCkxc+ZMzJ07V7+/oqICI0aMiHndhYWFqKioiHl/IiIiIiIiIiIaOhKeUfjYY4/hgAMOwMyZMxP9VElj27Zt+Pbbb3H66acDACwWC0477TQ8//zzQds99NBDWLZsGR599FGMGTMG//jHP4IyCjs6OmC322NeR0pKClwuV8z7ExERERERERHR0JHQjMKVK1di586duOOOOwxt7/F44PF49O+FEEhNTdW/jshmV7L7+pstumDdCy+8AK/Xi9mzZ+u3SSlhs9lw++2367cVFxdj3LhxGDduHLxeLy677DJ8+OGHenAwJycHmzZtinnZjY2NCS8Hp+Rh6D02wLQ1JsNaiQYDvmeIosP3DFF0+J4hig7fM5QMEhYorK2txZNPPok//vGPsNlshvZ57bXX9F58ADB27FjcddddyM/PD7m9y+UKyrADABh8roHi9Xrx8ssv45ZbbsH8+fOD7lu8eDHeeustLFy4EICSaaj9fGeccQbuuecePPPMM7jyyisBALNmzcLTTz8Ni8US8oPGYlH+e3v8G6k2b96M0047Lez9NHzYbDYUFRUN9DIMKywsHOglECUVvmeIosP3DFF0+J4hig7fMzSYJSxQuGPHDjQ1NeH3v/+9fpvf78fGjRvxv//9D8899xxMpuDK5zPOOAOnnHKK/r0W/KqpqYHX6+3xHG63OygDMRn873//Q1NTE8455xxkZGTAarXqP8NJJ52EZ599FkcddRQAJajY9ee75JJL8Pe//x3nn38+UlNTccghh6CtrQ3ff/990ITjyspKNDQ0YPfu3fD5fPqk5LFjx8LpdAIAysvLUVVVhSOOOCLp/g0p/txuN6qqqgZ6GREJIVBYWIjq6uqYhggRDTd8zxBFh+8ZoujwPUMUHb5naKBYLJawSXg9tk3UImbMmIG777476LaHHnoIxcXF+pCO7qxWa9jstqHyJnr++ecxd+5cZGRk9LjvpJNOwoMPPoiWlpaQ+55zzjn461//iqVLl+Kqq65CTk4OTjjhBLz22mu4/vrr9e3+9re/4aWXXtK/P/744wEAL730kj4s5fXXX8e8efMwcuTIeP54lMSS6T0mpUyq9RINNL5niKLD9wxRdPieIYoO3zM0mAnZj6/OJUuWYMyYMbj44ouj2q+mpiZk1ltzc3PIgFsy6ZpRGIsNGzbgvPPOw+eff65nC0bidrsxd+5c/Otf/8LBBx8c83PT0JEs7yUhBIqKilBVVcVfrEQG8D1DFB2+Z4iiw/cMUXT4nqGBYrVaDWcUJnzqMSXWtGnTcMMNN2D37t2G96msrMQvf/lLBgmJiIiIiIiIiEiX0KnH3S1ZsqQ/n27YOPfcc6PafuzYsRg7dmyCVkNERERERERERMmIGYVERERERBSRf/lr8D/7EGSHa6CXQkRERAnSrxmFRERERESUfKTHA/nKU4DfD1m2HaZf3QSRNvj7GxMREVF0mFFIRERERES9q9sH+P3K1zu3wP/X6yHrawd2TURERBR3DBQSEREREVHvaqqVv7NylT9V5fDf9XvI6sqBXRcRERHFFQOFRERERETUK1lTpXwxZiJMf7gLGFEC1NfA/9c/QJZtG9jFERERUdwwUEhERERERL1TMwpF/giI3AKYfn8nUDoBaGmC/+4bITetG+AFEhERUTwwUEhERERERL2SWulxfhEAQKRnwvSb24DJM4AOF/z3LYFc88UArpCIiIjigYHCfnb22WfjpptuGuhlDFmHHnooHn300T49xrZt23DKKadg3LhxOPbYY+O0MiIiIqIkpmcUFuo3iVQHTL++GTjgMMDrhf/fd8H/2XsDtUIiIiKKAwYK+9mjjz6K6667Li6PVVFRgfHjx6OtrS0uj/fiiy9i6tSpcXmsZHb33XfD4XDgk08+wYsvvjjQy4nZ559/jpKSEjQ1NQ30UoiIiCiJSSmBWjWjsKAw6D5htcF0xe8h5h4LSD/kU/fD/79XBmCVREREFA8MFPaz7OxspKWlxeWxli1bhiOOOAJOpzMuj0eKsrIyHHLIIRg5ciRycnJiegy32x3nVRERERENkKZ6wO0GhAnIKehxtzCbIS76BcQJZwEA5CtPwf/SUiXASEREREmFgcJ+1r30+MADD8Q///lPXHvttZg0aRIOPvhgPPPMM4Yea9myZXpprN/vxz/+8Q8ceOCBGDt2LI499lisWLFC3zZUdtn333+PkpISlJeX4/PPP8e1116L5uZmlJSUoKSkBPfcc0/I55VS4p577sHBBx+MsWPHYvbs2fjTn/6k3//yyy/jxBNPxKRJkzBr1ixcffXVqK2t7bGWjz76CMcddxzGjx+PH/3oR6itrcWHH36IefPmYfLkybj66qvhcrmC/u1uvPFG3HjjjZgyZQr2228//PWvf+31ILSpqQm//e1vMWPGDEyePBk/+tGP8MMPP4TdvqSkBOvWrcM//vGPoH+DjRs34kc/+hHGjx+P6dOn47rrrgvK5Lzmmmtw6aWX4r777sPs2bNx1FFHAQAqKytxxRVXYOrUqZg+fTouueQSlJeXBz3nCy+8gAULFmDs2LE44IADcOONN+r3Pfzwwzj66KMxYcIEHHTQQbj++uuDnreiogKLFy/GtGnTMGHCBCxYsAAffPABysvL8aMf/QgAMG3aNJSUlOCaa64J+3MTERERhbVPzSbMyYOwWEJuIoSA6azFEGdfAgCQy18DNn7XXyskIiKiOBlSgUIpJTq8/n7/09erpQ8//DBmzpyJZcuWYfHixbj++uuxbdu2XvdpamrCqlWrcNxxxwEAHnvsMTz88MO46aab8N5772H+/Pm45JJLsGPHDkNrOOigg3DLLbcgPT0da9euxdq1a3HllVeG3Padd97Bo48+irvuugufffYZHn/8cUyZMkW/3+v14ne/+x3ee+89PP744ygvL8f/+3//r8fj3HPPPbj99tvxxhtvYM+ePbjyyivx2GOP4V//+hf+7//+Dx9//DGeeOKJoH1eeuklmM1mvP3227j11lvxyCOP4Lnnngv7c11xxRWora3FM888g3fffRczZszAueeei4aGhpDbr127FpMnT8YVV1yh/xu0t7fjggsuQFZWFt555x08/PDD+PTTT4MCegDw2WefYfv27Xj++efx1FNPwePx4IILLkBaWhpeffVVvP7663A6nbjgggv0jMOnnnoKN954Iy644AK8//77WLp0KcaMGaM/pslkwq233ooVK1bg3nvvxcqVK3Hbbbfp999www1wu9145ZVX8MEHH+CGG26A0+lEcXGx3qvxk08+wdq1a3HrrbeG/XciIiIiCkcfZFJQFHFb0/FnAPsfouy3tzKRyyKiYcL/fw/A/8Q/mKVM1E9CXxJMUp0+iXNf3NLvz/viuZOQYhEx779w4UJcfPHFAICrr74ajz76KD7//HNMmDAh7D4ffvghpk6disJCpU/Mww8/jKuuugqLFi0CANx44434/PPP8dhjj+Evf/lLxDXYbDakp6dDCIGCgp4lJV1VVlYiPz8fRx55JKxWK0pKSnDAAQfo9//4xz/Wvy4tLcWf//xnnHTSSWhrawsqk77uuutw8MEHAwDOO+883HHHHfj8889RWloKADj55JPx+eef4+qrr9b3KS4uxi233AIhBCZMmIBNmzbh0UcfxQUXXNBjnV9//TW+/fZbfPfdd7Db7QCAm266CcuWLcM777yDCy+8sMc+BQUFMJvNcDqd+r/Ds88+i87OTtx3331wOBwAgNtuuw0XX3wxbrzxRuTn5wMAHA4H7r77bthsNgDAK6+8Ar/fj7vvvhtCKK+Pv//975g6dSq++OILzJs3D//85z9x+eWX46c//am+hlmzZulf/+xnP9O/HjVqFK677jr84Q9/wB133AEA2LNnD0466SS9t6T2bwcAWVlZAIC8vDxkZmb2+FmJiIiIDKntOcikNyIjCxIA2loTtyYiGhZkhwvy0+UAAHHi2UDRqAFeEdHQN6QChclq2rRp+tdCCOTn56Ourg4AcOGFF+Krr74CAIwcOVIvJ+5adtzS0oLq6mo96KY56KCDsGHDhj6t7Z///Cfuv/9+/fuPPvoIp5xyCh577DEcfvjhWLBgARYuXIhjjz0WFrUUZd26dbjnnnuwYcMGNDU1we/3A1ACjJMmTQr5c+fn5yM1NTUo0JWfn49vv/02aD2zZ8/Wg26AUrr98MMPw+fzwWw2B227YcMGtLW1Yb/99gu6vaOjA2VlZYb/DbZu3YqpU6fqQUIAOPjgg+H3+7F9+3Y9UDhlyhQ9SKg9/65du4J+ZgDo7OzErl27MH36dFRXV2Pu3Llhn/uTTz7BAw88gO3bt6OlpQU+nw8dHR1wuVxITU3FpZdeiuuvvx4ff/wxjjzySJx00klB/65EREREfaaVHhsMFMKh9uNmoJCI+qo90HZJbt0AwUAhUcINqUCh3Szw4rmTIm+YgOftC0u3Xi9CCD249re//Q0dHR0AAKvVCkAZlPHRRx/hl7/8peHnMJmUKvOu6dperzfifj/5yU9w6qmn6t+PGDECFosFn3zyCT799FN8+umnuOGGG/DQQw/hlVdegcfjwfnnn4/58+fjgQceQG5uLiorK3H++ef3GPDR/efWfj5N13+HWLS1taGgoAAvv/xyj/sSkWHXNZCoPf/MmTODAq2a3Nxc/f8knPLyclx88cX4yU9+gt///vfIysrCqlWr8Jvf/AZutxupqak4//zzMW/ePHzwwQd6UPGmm27CpZdeGtefjYiIiIYvWVMFABD5kUuPAQBONVDYzkAhEfWRqz3w9dYNwFHHD9xaiIaJIRUoFEL0qQR4MCoq6nlA9sUXXyAzMxPTp08HAKSnp6OwsBCrVq3C4Ycfrm+3evVqvYw1NzcXALBv3z69JLX7UA+bzQafzxd0W3Z2NrKzs3usITU1FccddxyOO+44LF68GPPmzcOmTZsgpURDQwOuv/56lJSUAAC++y5+jazXrl0b9P2aNWswduzYHtmEADBjxgzU1NTAYrFg1KjYrzxNnDgRL730Etrb2/Vg4KpVq2AymTB+/Piw+82YMQNvvfUW8vLykJ6eHnKbUaNG4bPPPsOcOXN63Ldu3Tr4/X7cfPPNelDxrbfe6rFdSUkJLrroIlx00UW444478Nxzz+HSSy/VA6/d/0+JiIiIolITZUahGiiUbS0JWhARDRuuLhmF2/pWLUdExgypYSbDxfLly/UhJporr7wSDz74IN544w1s27YNf/nLX/DDDz/gsssuAwCMGTMGxcXFuOeee7Bjxw68//77ePjhh4MeY+TIkWhra8Onn36K+vr6oInDXb344ot4/vnnsWnTJpSVleHVV19FSkqKPi3ZZrNh6dKlKCsrw/Lly3HvvffG7WevrKzEkiVLsG3bNrz++ut44okn9J+xuyOPPBIHHnggLr30Unz88ccoLy/HqlWrcOedd0YVvDzzzDNht9vx61//Gps2bcLKlSvxpz/9CWeddZZedhxuv+zsbFxyySX46quvsHv3bnz++ef405/+hD179gAArr32WjzyyCN4/PHHsWPHDqxfv14f4DJmzBh4PB488cQTKCsrw8svv4ynn3466DluuukmfPTRR9i9ezfWr1+PlStX6r0tR44cCSEE3n//fdTV1QVNSyYiIiIyQrragdZm5RujPQpZekxE8dIlUIjavZANdQO3FqJhgoHCJLR8+XK9P6Hmsssuw+WXX45bb70VxxxzDFasWIGlS5di3LhxAJSy3gcffBDbt2/HscceiwcffBDXXXdd0GMcfPDB+MlPfoKf//znmDFjBh588MGQz5+ZmYlnn30Wp59+Oo455hh8+umnePLJJ5GTk4Pc3Fz84x//wNtvv40FCxbggQcewJ/+9Ke4/exnn302Ojo6cMopp+DGG2/EZZddFnIoCaBkmD799NM47LDDcO211+LII4/EVVddhcrKSuTl5Rl+ztTUVDz77LNobGzEySefjMsvvxxz587F7bffHnG/V199FSUlJfjpT3+K+fPn47e//S06Ozv1DMNzzjkHS5YswVNPPYWFCxdi8eLF2LlzJwBg+vTpuPnmm/Hggw9i4cKFeO2113D99dcHPYff78eNN96I+fPn44ILLsC4ceP04TVFRUX4zW9+gzvuuAP7779/jynNRERERBFp2YRpGRCpjt631TjVSgqWHhNRH8n24GQHZhUSJZ6QSTBjvKamBh6Pp8ftzc3NyMjIGIAVxY/Vag35s4Wzfv16nHPOOVi3bl2Pnn5D3dlnn41p06bh1ltvHeilDDnJ8l4SQqCoqAhVVVVIgo8uogHH9wxRdPie6Ul+8zn8/74TGDsJ5hvuNrZP2Xb4b/t/QGYOzHc/mdgF0oDie4YSzf/Ru5DPPqR/LxacDNP5VwzgivqG7xkaKFartdeKyK6YUZhkvF4v/vznPw+7ICERERER9b+oB5kAHGZCRPGjDTNJdQJgRiFRf2CgMMkccMABOPvsswd6GUREREQ0HGilxwUGB5kAgNaj0OOGdHfGf01ENHyoPQrFfrOV7yt29ShHJqL4GlJTj2loe/nllwd6CURERETDitQChXlRBApTHYDJBPj9SlahzZ6YxRHR0KcNMxlRogxUqqkGdmwC9jtwYNdFNIQxo5CIiIiIiEJTA4XC4MRjQOnBBU4+JqJ4aNdKjx0QE6YBAOTWjQO4IKKhj4FCIiIiIiLqQXq9QH2N8k00pccAA4VEFBdSyyhMdQAT1UDhth8GcEVEQ1/Slx77/X6YTIx3EsXK7/cP9BKIiIhoMKrfp5QP22xAZk50++oDTVrivy4iGj7UYSbCkQaUjIYEgJ1bIT0eCA74JEqIpI6wORwOtLS0MNBBFCO/34+WlhY4HI6BXgoRERENNvsC/QmFENHtqwYKZRuHDhBRH3TNKBxRAqRnAh43sHv7wK6LaAhL6oxCi8UCp9OJ1tbkLWmw2Wxwu90DvQwaxpxOJyyWpP4oICIiogTQB5lE0Z9QIxzpSuZPGzMKiagP9EChU7lgMWEqsPZLyK0/QIyfMrBrIxqikj46YLFYkJGRMdDLiIkQAkVFRaiqqoKUcqCXQ0REREQUUBv9IBOd06n83Z68F/SJaBBwBYaZAICYMA1y7ZeQ2zjQhChRkrr0mIiIiIiIEkPuiz2jEM505W8OMyGiGEm/H+hwKd+orZKEOtAE2zYq9xNR3DFQSEREREREPdVUAQBEflH0++pTj1l6TEQx6nABWuVdqpqlPGocYLMrny1VFQO3NqIhjIFCIiIiIiIKIqUEavcq38SUUagOM2HpMRHFSis7tlghrDYAgLBYgHGTAQBy24aBWhnRkMZAIRERERERBWtuBDo7ACGAvIKodxd6RiEDhUQUI5f6+aH2J9SICVr5MQOFRInAQCEREREREQXTJh5n50FYrNHvr/UoZEYhEcWqXRtk4gy6WUycCgCQWxkoJEoEBgqJiIiIiCiIrOnDIBOgS49CBgqJKEbdJh7rxk0GTCagbh9kfU3/r4toiGOgkIiIiIiIgmmDTApiGGQC6D0K0d7GyaREFBPpalO+cHTLKExxKENNAMhtG/t7WURDHgOFREREREQUrK8ZhVqgUPqBjvb4rImIhhdX6NJjABATlPJjsPyYKO4YKCQiIiIioiBa6bGIMVAorDbApkwpZfkxEcVE7XEqupceAxATpwPg5GOiRGCgkIiIiIiIgukZhTGWHgOAgwNNiKgPeskohJZRWFkGyc8YorhioJCIiIiIiHSywwU0Nyrf5I+I/YGcHGhCRH0QbpgJAJGZDRQUAVIC2zf188KIhjYGComIiIiIKKBWzSZ0pkNo04tjoQYKJQOFRBQLfZhJz0AhAIiJ0wAAkn0KieKKgUIiIiIiIgrY18dBJhotyMiyQCKKgdQzCsNcsJigBgrZp5AorhgoJCIiIiIiXV8HmWiEXnrc0tclEdFwpGYUhhpmAgBCDRRi51ZIj6e/VkU05DFQSEREREREAbV9G2TS4PLii90t8Kaqw0xYekxEsWhXS4/DBAoxohhIzwS8HqBsa/+ti2iIY6CQiIiIiIh0Ui89jm2QycOrqnHnp5X4k9wf9bYMlh4TUWy00mNHiKnHAIQQgN6ncGN/rYpoyGOgkIiIiIiIAmqqAAAixozCbXUdAIBNPid+c9Cvsb7DHrelEdEw0svUY41Wfiy3/tAfKyIaFhgoJCIiIiIiAID0+YD6GuWbGHoUujx+1LR7AQAjbV402dKxxDkXr/xQByllPJdKREOY9PuATpfyTbhhJghMPsb2jZB+fz+sjGjoY6CQiIiIiIgU9TWAzwdYrEBWTtS7VzR3AgAyU8y4Z7Ib86tXwy9M+L9va3DHJ5VodfvivWIiGopcrsDXvWQUYtQ4wJ6i9DOsKk/8uoiGAQYKiYiIiIhIUaP1JyyEMEV/qlDR5AYAjMqwwZ6ejl9u+g+urFgGi0ngq4pW/ObdXdjZ0BHPFRPRUKT1NrXZICyWsJsJsxkYNxkAy4+J4oWBQiIiIiIiAgDILoHCWJQ3KRmFozLtgDMNAsBx5Stx53GjUeC0oLrVg+uWleGD7Y3xWTARDU16f8LQg0y60voUggNNiOKCgUIiIiIiIlLog0xiCxRWNCsZhSMzbYBT7SvW2YEJmRbcc+JYHFjshNsn8c8vq/Gvr6rg9rGnGBGFYGCQiUbrUyi3bUjkioiGDQYKiYiIiIgIQJwzClMdgBDKHe2tyLCb8cf5I3H+zDwIAMu3NeEPy8tQ7/LGYeVENKS42pS/DWQUYuwkwGQC6msg62oSuy6iYYCBQiIiIiIiUuxTAoWxZBR6fH5Ut3oAACMzbBAmcyAbqE056TcJgXNn5OHmhaOQbjdje30nXv2hLj5rJ6IhQ0ZTepySCowejw6TFdUbNyV4ZURDHwOFRERERERDjNy8Hr5fnw//Z+8Z30dKoFbLKCyK+jkrm93wS8BpNSEnVR0+4ExX/m5rCdr2gCInLpiZBwDY2+aJ+rmIaIhrVy4uCAOlx4DSp/Dfk8/CVWW52FLrirwDEYXFQCERERER0RDjf+sFoL0V8vVnIb0GA3GtzUCHSykXziuI+jm79icUWsmxQ+1TqE0w7SIrRQkmNnX4on4uIhritNJjh4HSYwBi4lTsSCuBHyas3N0SeQciCouBQiIiIiKiIURWVwKb1yvfNNVDfvO5sR33KYNMkJULYbVF/bxB/Qk16kAT2dYzUJhhNwMAWjrZo5CIuolimAkAYMI0tFqVbddUNCdoUUTDAwOFRERERERDiPx0mfKFxap8//6bSllxpP36PMhEzSjMCAQZhZZR2NYzwycjRQkUNnUyo5CIutGHmRgMFKZn6oHC3S1e1LClAVHMGCgkIiIiIhoipMcN+fkHAABxwZWAxQLs2grs2Bx555rYB5kAQIUaKAyVURiq9DhTzShsc/vh9UcOZBLRMKJnFKYZ2rzDK+EVZv37tVVtiVgV0bDAQCERERER0RAh13wBtLYA2XkQhy+EOGSecvsHb0XeuQ8ZhT6/RGWLFijsUrasZxT2DBSm2c0wqa0Mm5lVSERdyPboMgpb3cGfIWv2MFBIFCsGComIiIiIhgj5yf8AAGLusRBmM8TRpyq3f7MSsr629321QGFB9BOPq1s98PolbGaBfKc1cIc29ThERqFJCKTblAyg5g72KSSiLtTSY+EwFihs6XaxYV11G3zMVCaKCQOFRERERERDgKwqB7b8AAgTxNxjAQBi9Dhg0n6A3w/50X97f4A+lB5XqINMRmbYYNImHgO9DjMB2KeQiMLQS4+NTT1uUTMKS9r2Is3TjjaPH1tqXYlaHdGQxkAhEREREdEQID9Zrnwx8yCInDz9dpOWVfjpMkh3Z+h9OzuBpnrlmxgChfogk679CdFlmEmIjEIg0KewqYOBQiLqIsqpx63qxYZMrwuz6rcAANawTyFRTBgoJCIiIiJKctLjhvziQwCAad4JwXfOOgTILQBaWyC/+jj0A9SqZccOJ4RWLhyF8mYlABnUnxAIlB6HmHoMABkpFgBAcydLj4moC33qcXQZhWkW4IB6ZXgT+xQSxYaBQiIiIiKiJCe/WakE43LygekHBN0nTGaIhScr233wFqQM0bdLH2QSfX9CoMvE44zgjEI41ZP8MKXHzCgkou6k1wto2c8OY4HC1k4/ACAtxYL9G5SMwm31HWhk/1OiqDFQSERERESU5OTHywAA4sjjIEzmHveLuccC9hSgsgzYtK7n/n3oT+iXEhXhMgodgWEmoQKU6WqgkFOPiUinlR0DQIrBYSZqRmF6Wipy3C0Y62sEAHzL8mOiqDFQSERERESUxGTlbmDbBsBkgph7TMhthCMN4vCFAAD/B2/13KCmSvk7hkBhXbsXHV4JswAK07uXHqs9Cn0+oLOjx76ZKQwUElE3WtmxPQXC3PPCRyitWulxpnJxYlbjdgDAWgYKiaLGQCERERERURKTnyrZhJh5CERWbtjtxNGnKF+sWwW5ryr4MfTS41gGmSjZhMUZNlhMIvhOmx2wKH0IQ5UfZ9jVHoUsDyQiTZSDTACgRb3YkJ6bDQA4oPIbAEqg0B+q3QIRhcVAIRERERFRkpLuzi5DTI7vdVtROBLYbzYgJeSHbwffuS/20mN94nH3/oQAhBCANvk4xEATLaOwiRmFRKSJcpAJ0CWjMCsDSHVicsNOpJiV/qc7G0JPeyei0BgoJCIiIiJKUnL1Z0B7mzLVeNoBEbc3HX2qst/K9yHVrB3p9wF1+5QNYhhmomUU9uhPqHEG+hR2pw0zaeYwEyLSaBmFBgeZAIFhJul2C1AyGlbpw8wUpd3Bmj2hhykRUWgMFBIRERERJSn5SdchJgYO7acdABSWAB0uyM8/UG5rqAN8XqVEODsn6jVUNKsTjzN7ZhQCCJzshyo9TlFKj1vcPpYHEhEAQLZrGYVRlB6rGYUZdjNEcSkA4AC3kim9Zg/7FBJFg4FCIiIiIqIkJCt2Ads3AWazMtXYAGEyQSxUswo/fBvS7we0foV5I0JOTO51DVIaziiUITIKM9SMQr8EWll+TESAXnosYik9tpmBktEAgFm1GwAAm2pdaHPz84XIKAYKiYiIiIiSkJZNiP0PhcjMNryfOHyB0vtrXxWw/psug0yiLztu6vCh1e2HAFDcfeKx9ny99Ci0mAScNuWUhH0KiQhA1MNMOr1+uH1KRnKa3QRRomQUjqjYhOJ0G/wSWLe3PSFLJRqKGCgkIiIiIkoysrMT8suPAEQeYtKdSEmFOFLJQPR/8CagBgpF3oio17FbzSYckWaF3RLm1MKpBgpDZBQC7FNIRN24ois91sqOzQJItZiAYiWjEDXVmD1CaYmwluXHRIYxUEhERERElGTk6k+Vk+n8QmDK/lHvLxacDAgTsPE7yPWrlRsLop94HOhPGKbsGAgMMwnRoxAAMuxKn8KmTm/Uz09EQ5CeUWis9FhrW5BmN0MIAZGeCaRnAgAOsCoBwjV7WiHZB5XIEAYKiYiIiIiSjPz4fwAAceTxxoaYdCPyRgAHHKp8U1mm3NaHiccjM8IMMgEAvfQ4TKAwRc0oZOkxEaHLMBODU4+1jMJ0W5ceq2r58fS2clhNAjXtXv3CBhH1joFCIiIiIqIkIst3Aju3AGYLxJyjY34c09GnBt+QH0NGYZORjEIlUBhqmAkQGGjC0mMiAhB16XFrpx+AOshEpfUptFeXYfoI5XE4/ZjIGAYKiYiIiIiSiPxEzSY84DCIjKzYH2jidGDU2MD3MfQo1DMKM8NnFApn7xmFWo9CDjMhIgB66bHRqcd6RqG9S3hD7VMoK8swu0h5nDVVDBQSGcFAIRERERFRkpAdLn2IiTgquiEm3QkhII4+TfkmJw/C1kv5cAitnT40qFmAvWYU9jL1GAAyU5QehcwoJCIAUU891nsUhsgoROVuHFCsBAo37GtHp9cfv3USDVGWgV4AEREREREZI1d9CnS4gIIiYMrMPj+eOGw+ULcXYszEqPctb1ayCXNTLXBYzeE31Kceh87mydAzCjnMhIgQKD2Oskdhmr3L55A2+bixDiPNbuQ5LKht9+KHfe2YXZwWz9USDTnMKCQiIiIiShLyq48BAOLI4yCE6PPjCbMZptPOh5h5cNT7GupPCASmHrvaIH09swYzOcyEiLrSLioYnXocYpiJSHUAOfnK11XlmK1mFbJPIVFkDBQSERERESUB6XEDOzYDAMT+hw7waqBPEO2tPyGA4JP9EFmFGXalyKmJpcdEw570eACvR/nGYOlxS4hhJgD0ycdKn0Ili5B9CokiY6CQiIiIiCgZ7NwCeNxARhZQWDLQq9EHmUTKKBQWC5CSqnwTYvJxIKPQCyllfBdJRMnF1SWQp31uRKBnFNqDA4VCKz/eU4aZhQ6YBFDZ7MbeVndclko0VDFQSERERESUBOSW7wEAYtJ+cSk77qtyrfQ4w8AQlF4Gmmg9Cr1+oN3DQQNEw5o2yCQlFcLUS+/TLlo6QwcKAxmFu+G0mTElTwk8rmVWIVGvGCgkIiIiIkoCcrMSKMTk/QZ2IQA6vH7sa1PKAyP2KAS6DDTpmVFot5hgNyuBT/YpJBrmohxkAnQZZmILDm90zSiUUurTj9mnkKh3DBQSEREREQ1y0uMBdmwCoGQUDrRKtT9hht2MjBRL5B3UjELZ1jNQCHCgCRGpohxkAgCtnT2HmQAAikYCQgCtLUBzo96ncF11Ozw+tjkgCoeBQiIiIiKiwW7XVsDtBtIzgaJRA70avT/hyAwD2YRAYPJxiIxCoOtAE2+f10ZESUwrPTY4yMTt86NTDfqlde9RaLMD+UXKN3t2Y1yOHZl2M1xePzbXuuK2ZKKhhoFCIiIiIqJBTutPiEnTB1d/wkgTj1XCGb5HIcCMQiJSSFd0GYWtbqWvqUkADmuI8EaJUn4sK8tgEgIHFGnlx6EvWhARA4VERERERIOe3LweACAmz4jr4zZ2eHHNf3fi319XR7Wf0YnHOn2YSejeYNpAk6YOBgqJhjU1o1AYzCjUyo6dNjNMIS6iCHWgCfbsBoBAn0IONCEKi4FCIiIiIqJBTHo9wPbE9Cd8Y2M9djZ04t2tjVGV4lU0R5dRqJceh80oVEqPmVFINMxFOcxEG2SSbgsT2ijWJh+XAQBmqRmFOxs60eBiqwOiUBgoJCIiIiIazHZtA9ydQFpGXPsTtnT68N8tjfr3z3xXY2g/j0+iqkUJFI40mlHoVE7OZdgehVpGIU/ciYY1fZhJdBmFad0HmaiEWnqMyt2QUiIrxYLxOSkAgLXMKiQKiYFCIiIiIqJBLKg/oSl+h+/vbG5Ah9ePonQrLCZlEui66sgnzlUtbvglkGoxITfVwMRjAELPKOTUYyLqhT7MJMqMQnvoQCEKigGzBeh0AfXKxRCtT+H3e9v7tlaiIYqBQiIiIiKiQUxuVgKFYlL8+hO2e3x4a3M9AODC/fNx3IQsAMBz62ohpex1X33icabN+GAVrUdhxIxCBgqJhrPAMBODGYXuCBmFFgtQWKJ8o5YfT8pVMgq31Xf0YaVEQxcDhUREREREg5T0eoHtGwEAYvL0uD3usq2NaHX7UZxuw+Gj0nH29FzYzAIba1xYs6f3rMLyaPsTAoA+9ThcoFDrUcjSY6JhLdqMwk5l6nFauIxCBAaayEploMkENVBY3tSJTq8/1pUSDVkMFBIRERERDVZl24DODmUYiNqUv6/cPj/e2KhkE541PQdmk0Cuw4qTJmUDAJ5dV9NrVqE+8TjDYH9CoMvU43DDTFh6TESIfuqxmlGYESajEABQrPYp3KNkFOakWpCdYoZfAjsamFVI1B0DhUREREREg5Tc8oPyxcT49Sf8YHsTGjp8yHNYMG9Mpn77mdNykGIxYXt9J76sCJ35BwAVTbFkFKo9Cr0eSHdnj7u10uMOr2SGD9FwFu3UY22YiT3856M20ESbfCyEwITcVADAtjoGCom6Y6CQiAac3L4J/s/eG+hlEBERDTpyy3oAgJi8X1wez+uXeHWDkk145rRcWM2BHoOZKRacNkXJKnzuuxr4/D2zCn1+icrmKCceA0BKKqAFOkOUHzusJljUu5lVSDSM6VOPoxtmEq5HIYBANnZVBaRf2V4rP2agkKgnBgqJaEBJVzv8990C+dT9kNs3DfRyiIiIBg3p8wFb1f6Ek+ITKPxkVzP2tXmQmWLGMeMze9y/aGoOnDYTdje58VlZc4/797V54PFL2MwCBU6r4ecVQvQ60EQIofcp5EATouFJStmlR6HB0mP1wkJ6b4HCvBGAzQZ4PcC+agDAhBwONCEKh4FCIhpQ8uN39RIDuWvrAK+GiIhoENm9Heh0KQG2kWP6/HB+KfHKD3UAgEVTcmC39DwVSLOZcfrUHADA8+tre2QVav0JSzJsMJsMTjzWGO5TyIEmRMOSxw341Pe/wYxCfepxb8NMTCagKLhPoZZRWNnsRruHFyeIumKgkIgGjPS4Id9/M3DD7h0DtxgiIqJBRm75Xvli4rS49Cf8srwFFc1uOG0mnDgpK+x2p07OQYbdjKoWD1bsbAq6r1ztTzgymkEmGmf4jEIg0KeQGYVEw5SWTSgEYE8xtIs29bjXjEL0nHyclWJBvsMCCWA7swqJgjBQSEQDRn7xIdDUoBwMAJAMFBIREenkZiVQKCbP6PtjSYmXvleyCU+elA2HNfxJdarVhLOn5wIAXlhXC48vMFykolmdeBzNIBONOtBEhuhRCACZaukxexQSDVPaIJNUh6GLI16/hEsdftRbRiEAQB1oAnWgCcA+hUThMFBIRANC+n2Qy14DAIijT1VurNoN6fEM4KqIiIgGB+nzAds2AIhPf8K1VW3Y0dCJFIvAqVNyIm5/wsQs5KRaUNPuxfJtgaxCPaMwmkEmKqGXHofJKEzRMgpZekw0LEU5yEQrOwYAp7X30IZQB5rIPbv12ybkqJOPmVFIFISBQiIaGGu+APZVAc50iEUXKH2LfD6gyy9vIiKiYat8h1KGl+oERo3p88Np2YTHT8jSS3x7Y7eYcM5+ueq+tej0+iGl1AOFsWUURggUaqXHzCgkGp5iHGTitJki90xVS4+xt1JPTGBGIVFoDBQSUb+TUsL/7isAALHwZIiUVGD0OOW+3dsHcmlERESDQnB/wsiBvd78sK8dG2pcsJgEFk2NnE2oOWZ8FgqcFjR0+PDu1gbUtnvR4fXDJICitMT1KGTpMdEw1aX02IgWt4GJx5qsHMDhBPx+YG8FgMDk4+pWD1r4uUOkY6CQiPrfxm+VSY42G8SCUwAAQg0Uopx9ComIiAL9CftedqxlEx49LhO5Dqvh/axmgXNn5AEAXvmhHlvrXACA4nQbrOYoJx4DXTIKI0w95jATomFJ6hmFBkuP1UEmaQYChUIIoFjpU6gNNEmzm1GYpnwmcqAJUQADhUTU7/RswiOPh0jPUG4cpWUUMlBIRETDm/T7gK3x6U+4ra4Da6vaYBLAmdOMZxNqFozNRHG6Dc2dPixdUwMgtv6EAJQ2IwBkmIzCwDAT9igkGpbUjELhMBYo1DIKIw4yUWl9Cru2OprI8mOiHhgoJKJ+JXduATatA8xmiGMX6beL0vHKF+U7lRMkIiKi4ap8l3LCnOrQL6TF6uUfagEAR5VmoDA9+gCf2SRw3kwlq3Bfm9LXa1RGDP0JAQh16nHEYSYsASQantqjLD1WPysyjJQeA/rkYxli8vHWepfBRRINfQwUElG/8v9PzSY85CiI3ILAHSOKAZsdcHcCe6sGaHVEREQDT+9POGEahDn2/oS7mzrxRbkSlDtLHUwSi7ml6SjNCgQH+5pRGLb0WM0KanP74fXL2J6DiJJXtKXHekahsbCGKOmZUahPPmZGIZGOgUIi6jeyqgJY+yUAQBx/VtB9wmQGRo5RtuNAEyIiGsbk5vUA+t6f8JUflN6Eh49Kw+hYphSrTELgAjWrEEDsj6UPM2kLeXea3QxtcCkHmhANQ9EOM1E/J4z0KASg9yhETTVkpxIYHJdjhwBQ2+5Fo4ttD4gABgqJqB/JZa8CUgL7HwKhpv53xYEmREQ03Em/Py79Catb3PhkVzMA4OzpeRG2juyQkWmYPyYDBxY7g7ILo+IITD2Wfn+Pu01C6NNLmzt4wk403EQ9zESbemy0R2F6JpCRpXyzpxwA4LCaUZKhZElv40ATIgAMFBJRP5H1tZBffgQAMJ14duiNONCEiIiGu4pdQHsrYE8FRo+P+WHe394EvwRmFTn1Hlx9IYTA/5tTjJsWjILZFMPEYyCQUSgl0NEechP2KSQaxrRAoeFhJsanHuvU8mO5p2efQpYfEykYKCSifiHffwPweYFJ0yHGTwm5TdeMQinZm4iIiIYfvT/hxKl96k+4eo/Sm3DB2Ix4LCsuhNUG2NT+huEGmqiZQU0dDBQSDTvqRHRhsPS4Vb2gkB5FoFBo5cddB5rkqIFCDjQhAsBAIRH1A9nWAvnJcgCA6YQw2YSAcoXPZAJaW4CG2n5aHRER0eAhNyuBQjFpRsyPUdPmwc6GTpgEMLvIWGZOv3Gok4/bwwUKLQCA5k6WHhMNOwkeZgIgkFFYGRhoMjE3MNCEyQpEDBQSUT+QK/4LdLqUYSX7zQ67nbDaAk2GOdCEiIiGGaU/4Q8AADFpesyPs7pSCcJNyk1FRoolLmuLG2eEycdq6TGHmRANQ3qg0OAwE3cfMgq7lB6PzbbDJICGDh/qOdCECAk9cnjttdfw9ddfo7KyEjabDZMmTcKFF16I4uLiRD4tEQ0isrMT8oO3AADihLMgRO99jcSocZAVuyB374CYdVh/LJGIiGhw2FOmBNDsKUDphJgf5hu17PjgkrR4rSx+1EChbGtDqCMCrfS4maXHRMOKlLLL1OPIGYU+v0Sb1qPQ4DATAIGkhMZ6yLZWCGca7BYTRmfasauxE1vrOpDrsEa7fKIhJaEZhRs2bMDxxx+P22+/HX/84x/h8/lw2223oaODTUKJhgu58j2gtRnIGwFx0NzIO4zmQBMiIhqe5GYlmxDjp0JYYrue3+n147tqJSvnoJJBVnYMBEqPI2QUcpgJ0TDj7gS0aegGMgrbPIHJ6dEMMxGpDiAnX/lmT6D8mANNiAISGii88cYbMX/+fIwaNQpjxozB1VdfjdraWuzYwQAA0XAgvV7I5a8DAMTxZxhqyt51oAkREdFwIresBwCIyfvF/Bjr97bD7ZPIc1hQmmWP19LiRjjV4GWkHoUdLP8jGlba1WxCk0nJqo5AG2SSajHBEu0kdq1P4Sf/g/x+DWRTQ5eBJgwUEvVr05L2duXqZlpa6DIIj8cDj8ejfy+EQGpqqv71UKP9TEPxZyMCALn6M6BuH5CeBdOcY4y91kePV/6urwXaWiDSAtMa+Z4hig7fM0TRGcj3jPT7gS1KRqFp8oyY16BNOz54ZBpMpkHYjtwZGGYS6mfMUnsqNnX6+NmVBPh7huKmIzDIxMhnV6uaUZhuN0f9+hOl4yHXr4b88iPILz8CAIwrnAJMuRRbqxrh/3IHTKPHAiNKYs7uDvvcfM9QEui3QKHf78eTTz6JyZMnY/To0SG3ee211/Dyyy/r348dOxZ33XUX8vPz+2uZA6KwsHCgl0AUd1JK7H3/DfgBZJ55ATJKxxjet6poJLxVFchpbUTKxMk97ud7hig6fM8QRWcg3jPuXduwt7UZwp6CosOOhLBG3yNLSok1VUpG/nH7jUZRUV68l9lnzSOK0ATA4fchp6iox/2t5lYAu9HqkSgKcT8NTvw9Q33V2ViDfQDMaRmG3vs7XLUAgJy0lKg/K/wX/Ryt+QVwb90Iz84t8O4pR+nerbBM8qLVZEX1s09gREcDYLHCWjoOGedeBsechbH8WGHxPUODWb8FCh9//HGUl5fj1ltvDbvNGWecgVNOOUX/Xouy19TUwOsdeuUHQggUFhaiurqaY9hpyJG7tsFXth2wp6D1wLloq6oyvK+vuBSoqkDdt6thKgxcWOB7hig6fM8QRWcg3zP+lR8pX4ybgura2pgeY2dDB/a2dMJmFhhp60RVFL97+4vWgqy9tgadIdbnbleqi5pcHlTu2QMTs24GNf6eoXjxVyj9An02u6HPrrKqJgCAXfhj+6ybc5zyB4C5swPmyjKMWeXCNo8F2ycehhFbPwI6XPBs34y6Z/6NpnFTo3+OEPieoYFisVgMJ+H1S6Dw8ccfx5o1a3DLLbcgNzc37HZWqxXWMFdPh/KbSEo5pH8+Gp7861crX0ybBaQ6o3uNjx4HfLMScvf2kPvxPUMUHb5niKIzEO8Z/+Z1yheT94v5uVdXKGXH+xc6YDOLQfm+lw6lR6Fsawm5Pm0ogV8CLR1eZKT0a6ckihF/z1BfSa1HYarD0GuppVNJJEqzmfr+2rPZgbGTMKGmGtu2NmLHkWdh7i+uAL7/Bv77/wy0Nsf99c33DA1mCW1cIqXE448/jq+//ho33XQTCgoKEvl0RDSIyB/WAADEfrOj3lfok4+3x3VNREREg9a2jQAAMSn2QSarKpVA4YHFofuBDwaiS4/CUKxmAadVOUXh5GOiYcSlBgodxqa1t7qVz4d0u/GJx5FoA0221nVAmExAYYlyR1tb3J6DKBkkNFD4+OOP49NPP8Wvf/1rpKamorGxEY2NjXC73Yl8WiIaYLKtFdi+GQAgpkcfKIQ2+XjvHsgOVxxXRkRENPhIjxtoalC+KQ7dyzuS5g4vttQpvzMPKhm8gUI41LW1hQ4UAkBGinLi39zBQCHRsKFmFIpUh6HNW9xKHwMtCzkeJuQqgcLt9R3wSxn4vOp0QQ7BVmhE4SQ0l3/58uUAgCVLlgTdftVVV2H+/PmJfGoiGkibvgOkHygaBZEbfSaxyMgGMnOApnqgYhcwQekJ4vVLrKtsQq6QYMciIiIaMlqUXlswmw1n03S3pqoNfgmMzbYj3xn9IJR+41RPvMNkFAJAht2CqhYPmplRSDR8uAJTj41o7dQyCuOX+zQ60w6bWaDd40dViwfFaV3W4moD0jPj9lxEg1lCA4X/+c9/EvnwRDRIyfXfAIgxm1Azehywvh6yfAeEGii8/8sqrNjRhF8fXoSF4/iLmoiIhggtUJieqQ/zi1YylB0DALTS484OSK8HwtIzqJmpZhQ2dTKDh2jYcAV6FBqhlR7HM6PQbBIYm52CzbUubK1zoSQjU1mPq13JgmagkIaJhJYeE9HwI6UM9CecEXugUIxSy4937wAAbKl1YcUO5UTqmz3hsxCIiIiSTnMgUBgLr19ibZVykn3wYC47BpSTbi0YGiarMMPO0mOiYSfKjMIWLaMwjoFCIFB+vK2+Q7nBETkLmmioYaCQiOKrsgxorAdsNmDi9JgfJjDQZAeklHhizT79vo01Lk4JIyKiIUO2NCpfpGfFtP+mGhfa3H5k2M2YqJ7kDlbCZAoEAsL0Kcy0axmFDBQSDRdSCxRGOcwkLY7DTABgojrQZHudFijs/fOKaChioJCI4krLJsTkmRBWW+wPpA002VOGz3c1YWONCzazgNkkUNfuRU0by5GIiGiIaG4EAIiMrJh218qOZxc7YTYlQRdfZ+8DTTJTlO5IzCgkGkbUjL1oh5kkKqNwe30HfH6pt0uQzCikYYSBQiKKq7j0JwSAvBGAwwmPT+L/1lQDAM6YlovJBcrJxaZaTkMmIqIhQutRmBFb6fFqNVA46MuONREmH2fY2aOQaNiJovTYLyXaEpRRWJxuQ4rFhE6fREWzm6XHNCwxUEhEcSM72oFtGwH0rT8hAKWZ+6hx+F/J4ajuALJTzDhzWi5mlignURtr2vu8XuqdbG+Df+l9kNs2DPRSiIiGtj70KKxqcaOi2Q2TAGYVxTYxud+pGYXhMnT0HoUsPSYaPvRAYeSMwna3H361C1G6Lb4hDbNJYHyOHQCwrc4FESEDmmgoYqCQiOJn03rA5wXyCyEKivv8cK0jJ+Gl0mMAAOfvn49Uqwn7l2QpT1XDjMJEk19/DPn5B/A/+++BXgoR0ZDWlx6FWjbhtAJHXKd/JpLQJh+3tYS8P0ObeszSY6LhQ596HPmCR4uaTZhiEbCa4x/SmJibCkAdaKL1KGRGIQ0jDBQSUdzo047362PZseqltOlotTpQ6q7H0eOULIuZxcrfuxo70e7hCURCNdQpf1fsgqyuGNi1EBENZWrpsYih9Hj1Hm3acZJkEwIRhwNk2tUehZ1eDi8jGgak3w+41CQAA8NM9EEmCbo4Ml4daLKtroOlxzQsMVBIRHEhpezSn/DAPj9eVYsb7zYrv5gXb3sbJignCgXpdhQ4rfBLYKs2jYwSo6le/1KuXjmACyEiGuJiLD1u9/jw/V6lXO+g4iTpTwjowwHCnXhnqhmFXj/Q7vH316qIaKB0dgBSfa8bKD1uUdsSpMe5P6FGmx6/s6ETnlS1VUJbW0Kei2gwYqCQiOJjbyVQtw+wWIApM/r8cE+trYFXArMatmDWvu+Bmmr9vin5SjnARpYfJ5Rsagh8/Q0DhUREiSCl7DLMJCuqfb+rbofXL1GYZkVJhi3+i0sUfZhJ6NJju8UEu1mZ3sw+hUTDgFZ2bLYA1sifZa3qxONEZRQWplnhtJng8UuUW7KUG9tDf14RDUUMFBJRXMjvlbJjTJwOYU/p02Nt3NeOL8pbYBLAYtd65fF379Dvn6oGCtmnMMEaA4FClh8TESVIe5vS3xeIOqNQ6094UEmaMgQsWejDTMJn6GhZhQwUEg0DXQaZGPks0zIKExUoFEJgglp+vF323iqBaChioJCI4iJe/QmllHhizT4AwDHjMzGmMFu5o3y7vs2UfKUkYXOtCz4/excljFZ6nJMHgOXHREQJoQ0ySXVAGMik0filxDdqoPDgkiQqOwYgImQUAkCG2qewqcPbH0siooGkDzKJXHYMBHoUptsTF87QAoVb3coEZPRyYYNoqGGgkIj6TLo7gc3fA+h7f8JPy1qwpa4DKRYTzp+ZD4wepzxHl4zCMVl2pFhMaPf4Ud7U2afno9Ck1xtorj//ZOW21Z8N4IqIiIaoGPsTbq/vQEOHDykWE6YXpCZgYQkUoUchwIxComFFzyg0NpSpJcHDTIDA5OPt7WqGI4eZ0DDCQCER9d2W7wGPW8k8Kx4V88O4fX48/a2STXjWtBxkp1og1EAhdu/QJx+aTQKT8pSrfOxTmCDNjcrfZjPE3GMBsxmoLIOsYvkxEVFctcQWKPymUslumVXkgNWcZIf0Ti2jMPyJd4Y6pKCpg4FCoqFOb0NgYOIxALRqw0wSGCicoA40KWv1w22yAJ0dyoV0omEgyY4qiGgw0voTiumz+9Qj6e1NDdjX5kVuqgWLpuYoN5aUAiaTciLVGJjCq/cprGWgMCG0QSYZ2RDpGcDU/QEA8htmFRIRxZPULsxEOchkVZKWHQMIDDNpb9UvAnanBQqZUUg0DMRYepyWoKnHAJDnsCDTboZPAmXOIuVGZhXSMMFAIRH1WTz6EzZ1ePHSD3UAgAtn5cNuUT6ehM0OFI5Unmd3lz6FeRxoklBaf8JMpUekOHAOgOTuUygryyDrawd6GUREwdQehSI9y/Au9S4vttV3AAAOLE7CQKFWeuzzAZ2hf49npLBHIdGwoZYeC6Olx53K1ONEZhQKIfSswm2545UbOdCEhgkGComoT2RNNVBdqZSmTtk/5sd5cX0t2j1+jMu2Y/7YjKD7upYfaybnpUIAqG71oMHFk4h4k43dAoUHHJbU5ceyqQH+266F/47fKT01iYgGC630OMN46fGaPcrJ6oScFGSnWhKxqsSy2QCLuu620AMCMplRSJSU5PZN8P35GshN64zvFGVGod6jMIHDTIBA+fHK/Bn4Mm86ymtb4fFxkCINfUl4ZEFEg4mWTYjxUyAM9hXprqK5E//b2ggAuGR2AUzdy5dHjwe+/ChooInTZsboLDvKGjuxqcaFw0enx/TcFIZaeiwylRJw4UxXyo+/XwP5zWcQp/x4IFcXvT27Aa8HaKyD/OpjiCOPG+gVEREBAGQMw0ySuuwYSqYOnOnK75q2FiA3v8c2GSnsUUiUjOSqT5Xe4h+9CzFlprGdohxm0h89CgFgsjrQZINzFDbstxhYB5jWb8aINCtGZthQkmFHSYYNJRk2jMywIcNu7lMbJqLBghmFRNQnXfsTxurpb2vgk8oJz8zCngcIWkahLN8edDv7FCaQVnqclaPfJA6aCyA5y49l3b7A1++9EbYnFhFRv1NLj2Gw9Njj8+PbKiX75sCS2C7QDQpd+hSGkmlX8hmYUUiUZNS+q3LHZuP7RDHMREqpZxSmJ7BHIQAcUOzEzw4qwDzXToxvLkeq8MMvgaoWD1ZVtuH1jfX411fVuOG93bjolW344/u7eYxJQwIzCokoZtLrAdSyglj7EzZ1ePF1hXKScNGsnhkFAIBRY5W/a/fB39Ks3zwlLxX/29qIjTXtMT03hSe1YSZq6TEAiFmHQnYpPxZFIwdodTGoqwl8XVUO/LAG2O/AgVsPEZFGLT0WBkuPf9jnQodXIjvFjPE5KYlcWWJFmHycmaKVHrO9CFEy0Y8hG2oh62sgcsIc33fdR88ojFx67PIqwToASEtwRqFJCJwyOQe+Fd8Baz4Hfnw5Gg8/HpXNblQ2u1Gh/l3Z3Il9bV58v8+Fpk4fslIYZqHkxoxCIord1g1AZ4cyqXHk2Jge4ovyFvglMD4nBaOz7CG3EY40IG8EAMC9Y4t+u5ZRuL2+A26fP6bnpzDUHoVa6TGglR/PApCE04+1jMIU5TXjX/76wK2FiKirKKcea2XHB5ak9WzVkUzUjELZ1hLybm3qcYdXotPL3/FESaO5Qf9SbjeYVaj2KDQyzKRFzTK2mYU+/DDRhPp5JVytyHVYMbPQiRMnZeNnB43AkoWj8OjpE5BuU9bCLGgaChgoJKKY6dOOpx8AYYrt42RlmXKCMDdSj0G1/Ni9fZN+04g0K7JSzPD6gW11HTE9P4WhXQ3Oyg66WRyUnNOPZb2SUSiOPxMQJmDjd5AVOwd4VUQ03EmvJ1ByZ7BH4c4G5ffdjBHGmv4PVsLZe+mxw2qCFgPgiTdREmlqDHy9Y1PYzYJEkVHY6lYuHCQ6mzCI1iohzPAlIDCpvYV9VWkIYKCQiGKm9SeMtYSz0eXF9/uUA4M5pb0HCsUoJVDo6XJlUggR6FNYwz6F8SL9vkCGS2a3QOGswwCzRS0/Lu//xcVKzSgUk/aDmH04AEC+9+ZAroiICNDaaZhMgRPRCOralVLcfKc1UavqH47eS4+FEMhQ+xRyoAlRcpDuzsAEYygTkA3Rpx4bzyhM9CCTIHqrhNAZ0EAgC7qJ7RJoCGCgkIhiIhvqgMoyQAiIabNiegyt7HhibgpGpNl63VYbaOLu1hh5ihoo3MiBJvHT0gxIv5J51625vnCmKdOPkTxZhdLvAxpqlW/yCiCOXaTc/tXHkGqJNRHRgNAHmWQaysyXUqLepZyE5qYmeQ8sp3qBMExGIRA48WafQqIkoV1o1uzeAelxR95Pyyg0MMykVR1kkmbvx1CG1irB0OcVL2xQ8mOgkIhiIr//RvlizESItIyYHuOz3cpVuTmRyo4BvfTYW7ELsjNQZjw1XylR2FTj4pSxeNEmHmdkQph7Xq3Vy4+/SY5AIRobAJ8PMJuBrByI8VOA8VMAnxfyo/8O9OqIaDhrVgaZGC07bnP74fYpv+uykz1QGKFHIQBkqANNmFFIlCS01jU5+UrfVZ8XKNvW6y7S74uq9FjLKOzP0uNIrRKALoFCfl7REMBAIRHFRO9PGOO04waXFz/sVcuORxsINGbmKAccfr+Syagal22H1STQ3OnDnhZPTGuhbrQsu25lx5qkKz+uVweZZOVCmJSDONOxpwMA5MfvQnZ2DtDCiGi4k1EOMtGyCdNspn5r4p8w+ol3+J5fmczQIUouXVvXjJ8CwED5cUeXqiADpcdaRmG6fQB6FPbyecWMQhpKkvwIg4gGgvT5gA3fAQBEjP0JP9/dAglgUm4KCtIi91kSQujlx3L3Dv12q9mEibkpAIBNNe0xrYWCSe1qcJeJx10lW/mxrFMGmSC3IHDjAYcqk7RbWyC/XDEwCyMialEyCoXBjMI6vew4yfsTAhBa6XGvGYVaj0KWHhMlg8AxZLZSwQEDgUItm9BihbBG/mwbkGEmzt57qgJApvZ5xUAhDQEMFBJR9HZsVpoOO9OBMRNieoiVu5UG7nNLoyhbLhwJAJA11UE3630KOdAkPtTSYxEmoxAAxEFzASjlx1JKPLV2H97Z3NAvy4uaNsgkN1+/SZjMEEefCgCQ778B6fcPyNKIaJjTexRmGdq8vl3JnM92JHnZMRDoRdbbibc+HIAn3kRJoVk5FhQZ2RDjlEAhdmzuvT2QPsjE2CT3ARlm4ohcepzOjEIaQhgoJKKoadOOxbRZeilnNOraPdiwTwnqHWGkP6FK5KiBnvqaoNu1QOEmDjSJD+1qcFbojEIAELMO1cuPy7btxqsb6vHo6r2oaRuE5d+hMgoBiLnHKAel1ZWA1nOTiKg/aT0KM4xlFA6ZQSZAVMNMWnjiTZQcmhqVvzOzgNLxyrFiUwNQuzf8Pu3aIBNjk99bBnCYCdydkJ7Qx7qZ+ucVM6Ap+TFQSERR0/oTIsb+hF+UK2XHk/NSke+MonxKzQiT9bVBN0/JUwKF5U1unkzEgWwMlI2EI5xpgDrteu/6H5T9ALy3vTGxi4uB1HoU5uQH3S5SHBBHHg8A8L/3Rn8vi4gIsiW6YSZ17coJaM6QCBSqJ96udqWlSQiZHGZClFSkmlGIjGwIm10fRih3bA6/U5QZha2dA9CjMNUBCKF8HebiBocv0VDCQCERRUU2N+rTy8T02AKFK8uUfkRzS41nEwKAyA6dUZiZYkFxug0AsJlZhX2nlx6HzygEAHGgMv24Ztdu/bb3tzfB5x9k06drtdLjgh53iYWnACYTsGldUO9LIqJ+ofcozDK0uZ5ROCRKj7tkD4UZEJBpV37OZmboECUHtSpFa18jxk1Wbu+lT6GMtvTY3f+lx8JkCqwvXKCQpcc0hDBQSERRkZvXK1+MGttrD7tw6to92FATfdkxAD2jEI31kN7gk4ap7FMYP029Tz3WaOXHtZ2BwGBduxdr9oSfCCfLd0Kqgeb+IKUMTD0OFSjMzdcDnvJ9ZhUSUT+LcerxUMgoFGYzkKL87o6YocMTb6Lk0P0zbfxUABEGmmjDTAxMPAYCGYX9OswECLRLCNNXNUO9sOH2SXR42fuakhsDhUQUnT1K9pgYMzGm3T/frWQTTstPRZ4jyqmN6ZmAxQpIfyCYpWKfwviQUnbpLxMho1AtP661ZwEAnFblV8qybY3Bj+n1wP/Vx/DdeR38t/4a/jt+B7lvT5xXHkZrM+B2K1/n5IXcRBy7SFnn159CNtb1z7qIaNiTUgaGmRjtUaiVHg+FjEKgy4l36MnHWoZOm9sP72DLVieiIMoxZHD7GjFezSis2AnZ2RF6RzWjWBjIKJRSokWdetyvpcdAxIEmKRYBq0kpT25m+TElOQYKiSg61ZXK3yNKYtr9M7XseE6UZceAkvZvzlOzwrr1KdQyCrfUungy0RetLYBPzdbMzIq4uThwDmpSlO0WTVUCi9/saUVduweysQ7+N56D//eXQT52T6DsxOeD3NbLleV4UiceIzMbwmoLuYkYOwmYMA3weSFX/Ld/1kVE5GoHtOz4tMiBQp9foqFj6GQUAog4+TjNZobaFYzlfESDnasN8KqDPtSMQpGTD2TlAn4/sCtMRUkUGYWdPqkf5/d7RqH6eSXDBAqFEF2yoNkugZIbA4VEFBWpBgpFYfSBwpo2DzbVuiAAHD4q+kAhAFjyC5V1dOtTWJJhQ5rNBLdPYmdDmCuWFJmWqZmWAWGJnPEpZh2KWrty1XiWpQXTC1Lhl8B7L74D/x9+Cvn2C0oZSlYOxKLzIQ5boOy4e3uCfoButInH3QaZdGfSsgo//l/4K95ERPGkDTKxp0LY7RE3b+r0wS8BkwCyUoZIoFDNKAx34m02CT1rqLmDJ95Eg5pWkZLqVAaZqMT4KQAAuX1j6P20HoWOyIFCbWihxaRk8PUnoWUUtoVvscNJ7TRUMFBIRIZJvx/QSkZjyCjUy44LUpEbbdmxylygBAq7DzQxCaFPP97EPoWxazTWn1DjT3Wi3p4BAMh5/yUcs/4tAMB7/hHw+fzAhGkQl18H0x2PwXTKj/VJybKfAoWyLvwgkyCzDgHyC4G2FsgvPuyHlRHRsBdj2XFWigVmU/+eICeMfuIduvQYCJx4s08h0SCnTTzuXpGiBQrDTT7WMwojlx63ugP9CYXo589BZ+TPq0wONKEhgoFCIjKusQ5wdwJmM5A3IurdV+5uBgDMGZ0R8xK0jMLupcdAoE8hB5rETuq9ZXrvT6ipd3nhFyZY/F5krVuJwzd/iDRPO2pTsrHu6ntg/v2dMB08F8KiZL+I0eOVHXfvVALPiaYFlHN7zygUJjPEMacBAP75gwtXvbkdDS5mrxBRAjWrGYXpxgKFdS6lpG/IlB1D7XULhO35BQCZWikfe34RDWr6MWRG8MXmrpOPpQy0B/JLif+sr8UGjzrUyEDpcctADTIBIvYoBAIDTfh5RcmOgUIiMk7rT5hXqAd+jNrX6sHm2g4IxDDtuAuzGqDsXnoMAFPzlSuRm2pcQQciFAW19NjoROuaNuXENdfbBlP+CNjPvBDzJytBufeaU3ruUFgC2GxApwvYVxWfNfdCyygMNfG4O3HE0fA50vBpxmRUtnjwn+97BqOJiOJFRjvxeKgNMgG6ZBRGPvFmKR/RIKdmFPY4hhw9XhlG2NocdOz3bVUbnl1Xi/vSDoWEsWEmWkZhvw8yAQwFCtNTmFFIQwMDhURkmNyrBgpj6E/4ebmSTTh9hAPZfciGMOeHLj0GgIm5KTALoM7lRW07s8Fiol0NzjKWUagFCvNHFcH8l0dgOv5MHD9VCcp9XdGK+m5ZecJsBkaOBdBP5cda6XGOgUBhSipq554Gr0l5fS7b2ojqFndCl0dEw5jao1AYzCjUPk9zh1BGIbKVafSyfGfYTTI5HIAoOWg9Crtd/BBWK1CqVJTI7YFhdntblWPIfZZ0VKfmGiw9VqpRBiSjUM2Alu3hexQGSo/5eUXJjYFCIjJur9KfUMTQn1Cbdjy3D9mEAGAJ06MQAOwWE8blKFlsLD+OjdSGmRgsPa5RA7L5XTJcRmfZMTVfGWrywfbGHvuI0eOUL3bv6NNaDakzVnqsqZ55lP61TwLPr2NWIREliNajMD3L0OZaoHBIlR7PPEj5YssPgQzLbjL0YSbM0CEa1PT2NT2rUrSBJtgRCBR2vai/LntiIGOvF1qmXrq9/8MYequEXjOgmVFIQwMDhURkmKyuUL6IMqNwb6sbW+s6YBKxTzvWaKXHaG+D7Gjvcb820GRjTc/7yAB1mInIMlZ6XKtlFDqDh9McNyELAPDe9ib4u5eBq30KE51RKDvaA+UhBkqPAaAKyuunuF0JMH68qxm7OEWbiBJB61EY5TCToVR6LPILgdIJgPRDrv0y5DaBjEKeeBMNZrI5dI9CoOvk466BQo/+9XfZE4xlFA72HoUpvLBBQwMDhURknNqjUIwojmq3leq04/0KHMjqYyaEyeEEHGqz4xADTabmc/Jxn/RyNTiUmjCBwjmj0+G0mrC31YN11cFB28BAkx2J7SWpZRM60gz1vQGAPWqp8cG1GzDHXA8J4JnvemavEhH1lWyJdpjJ0MsoBABx4BwAgPxmZcj7tR6FzR0s5SMa1NTSY9F96jEAjFMzCit36xf667pkFH6fNQG+lMjHai2DoUchMwppGGCgkIgMke7OQLlvlBmFK9Wy4zmlfcsm1OWoZaQhyo+1yce7GjvR7uEv6WhIKbsECqMrPc7rluFit5gwf6wy3XrZtsbgnYpHA2YL0NYS8v8wbvRBJsbKjgGgSg0UFrlqcV7dVzAJYFVlGzbsY4YqEcWZWmorjA4zGaqBwoOUQCE2rQ8ET7vQTryZUUg0yPWWUZiVo1R3SD+wcyuA4IzCVqsDO1yRg3/6MJMByShUExV6m9KuXdjg5xUlOQYKiciYmmpASiDVabifEgBUt7ixrT4+ZccaoQYKQ00+znVYUeC0wC+BrXUsGY2Kqw3wqMM7DGYUhis9BgLlx1+Vt6Cxy1ATYbUCJaOVb8oSV34s9f6ExsqOgUBGYZGrFsW7v8ex47MAAE9/W8NJ2kQUX3pGYVbETT0+vz71N9fR8/M2mYn8QqUlhfRDrv2ix/2ZLOUjGvSk3we0KIMLwx1DBsqPN0JKqWcUlrYqPdDX1XRGfJ4BLT3WehR63JCe0MPutAsbLZ0++Pw8bqTkxUAhERlTHZh4LIQwvJtWdjxjhAOZKXHKgshRpiSGKj0GgCl5SukCB5pESe1PCIcTwmaPuHmb24c2jzJ9Li/EieuY7BRMzkuBTwIf7gjOEhH90adQm3hsMFDo9Ut9Al+Rqxaor8E5E1JhMwtsqHHhmz3hp9wREUVDer1KVjVgqEehlk1oNQmk2Ybe4buWVShX9yw/1k+83b6ePW+JaHBoaVayBYUJSM8Ivc04LVC4GS2dPrh9yvt5QfU3AIDvqiMfZ7WoU48HpPQ4xaH8fEDY8uM0dV0SynEyUbIaekcaRJQQ2iCTaCcer9ytXF2cWxrmoCEGopfSYyBQfry1loHCqERZdqxNq0u3mZBqDf3rRMsqXL69MfgETw8UJnDysfb6yDFWeryv1QO/BGxmgRynDQCQW1+JUyYrV8af/raGJ6lEFB+tauaNMAWyVHqhDTLJdViiuliXLLQ+hdi8HlLLSlJpPQr9MpBNRESDjHYMmZ4BYQodxBPjJytf7NiMmlYlIy/TInFgnTLgZEONC51ef69PM5AZhcJkilh+bOlyMYftEiiZMVBIRMbsVTMKoxhkUtXixvb6TpgEcNjIyCdChuVqpcehMwpHZSpBnj0tnpD3U2iySc0ojHKQSV6IsmPN3NIMpFpMqGrx4Pu9gT5/YvQ45YsEBgpllBmFetlxug2mklLlMSp24cxpuXBaTdjV2IlPdzX39hBERMZoZcdp6WFPqrsaqoNMNKKgCBg9DvD3LD+2mgWcVp54Ew1qvfQn1I0cC9hsQHsraqv2AgDyLD4Uu2qQ622F1y+xIUI1UGCYyQCFMQz0KeRAExoKGCgkIkOkNvE4ikEm2hCTmYVOZMSr7BiRMwoL05RA4b42N/uDREO9Giz6OPG4q5RwQ01GjlEyaZrqIbWS53jTexQayyjUBpkUp1shRo5RbqzYhXS7GWdMU7Isn1tXC4+Pryki6qOWRuXvKAeZZA/RQCHQ+/TjjBSeeBMNZlKdeIxQE49VwmIBxkwEANRWVAMAck0eCAD7e5SLu99VhS8/7vT69XLlAelRCHSZfBx+nRkcaEJDAAOFRBSRlDKQURhFoPAzrex4dJymHWu0QGFDLaS/Z4lCrsMCi0nA64feKJkMaFSvBmdFV3qc7+j9xFUrP/6yvBVNHco+wp4SeC2Vxz+rUHo8gJYhGUNGIdRAoazcBQA4dUoOslLMqG714L3tjXFeLRENN1KdeGw4UNil9HioCkw/Xhe2/JgDTYgGKTWjUPSWUQhAqH0K62obAQB5UAaY7A/lmK23PoXaxGOTABxhWt4knNoqQmo9ZkPI4AAmGgIYKCSiyFqbgXb1F3eBsdLjmjYPdjaoZcdxmnasy8xRstG83kD5Vhdmk8CINCXLrao19FQyCkEvPTYWKDRSegwA43JSMCEnBV6/xIqdgf8vUar2Kew2+bjd48OHO5rw9Lc1aPfEeJDVoGYT2mxAmrH+mFqpenG6LZBRWFkG6fcjxWLCuTOUITovrq9FR4QeOkREvWpWPgtFeuRBJsDQLz0GAFFQDIwaq5Qff/tl0H3a5OOmTl78IxqU9D7XEQKF6uTj2hYlQJjrV9rSzLQpf+9o6NQvKnfXqg4ySbOZB6xXq9AyCg2VHvPzipIXA4VEFJk28Tgn39A0XADY2dABACjNssd9MpmwWAJZb2HLj5XgVTX7FBoWa4/C/BATj7s7fmIWAGD5tiYlQxXoMtBkOzw+ia8qWvDXTyux+JVtuO+LKrz8Qx3e2dwQ3Q+h0cqOcwoMH0wGSo9twIgSwGIBOlz69ORjx2ehMM2Kxg4f3t4U47qIiIDARS6DgUKt9DjXwOdtMtPLj7tNP9ZPvJmhQzQ4aVnSvZQeAwDGKQNN6vzKZ1meRwm4ZaVaUZqlnGOsq24PuetADjLRRREoZE9VSmYMFBJRRNrE42jKjnc1KlcKtV/6cZejZHchzECTonSlT6EW/CEDGrUehUZLjyP3KNTMLU1HisWEymY3NuxTGlXLUeOxMXMM/u0dh0te3Yq/fFyJlbtb4PZJvXG9tm20tEEmRvsTenxSD3wWZdggzGagaJRyp1p+bDULnD9Ted29uqEOLTwAJKJYaT0KjQYK1c/boZxRCADioLnKF5u+g2wNlB9Hc+ItOZ2eqN/JJgPDTACIjCwgvxC1KcpnX65bfZ+nOjCr0AEgfPlx80APMgECU+rbe+tRqHxetfDCBiUxBgqJKLK9ewAAYkQUgcIGJVA4JkGBQm2giYyUUcjSY+MMlo0AgM8vAz0KnZFPXB1WM+aNUUqAX9lQh6e/rcEVG+248YCrsDx3FlrcfmSnmHHalGzcc8IY/PmY0QCAzbWu2AbSqBmFRice7211wy+V4SvZaombVn4sK3bp2x05JgNjsuxo8/jx6oa66NdFRARAqqXHRnoUSim7ZBQO8UDhiGJlMqrfD7k2UH6cabDnl/R64P/HTfDd/htILysKiPpNcxQD8cZPRZ1dCRTmudRjz1Qn9i9UJgp/V90WMuA/KDIKtUBhW/iMwkx1gCMzCimZMVBIRBHJGAaZaBmFY7JTErGkLhmFoQOFWkZhdStPFIyQHe1Ap5q9lxX5IK+hwwu/BMwCyDI40frYCcpB4Td72vDyD3Woafch1deJBVWrcMsENx4/YwIuO3AEJuSmYEyWHSkWE9o8fpQ3dUb/A9XtVf7OMZZRGBhkYg2UKocIFJqEwE9mKY/59uYG1LXz9UVEMVDL9ISBQGG7x48Or3LSPJSnHmu0oSZdpx9rw0wi9SiUy14DNn4H7NoaaJtCRImnTT2OkFEIAM1jpsJjUi7oZ7erbW9SHZhW4IDFBOxr84Y8fm/RMwoHvvRYGupRyEAhJS8GCokoMvVg22hGYafXr5f8JiqjEJEyCtPVYSYtbpYhGaFNPLanQqQ4Im6ulenmOqwwm4z1AJyQk4IDipywmIBDR6bhurnFWNq+HL/c/BJmNm4LehyzSWBynhJk3lgTffmx1HoUGsworOoyyESjDzSpKAva9sBiJ6blp8Ltk3hxPbMKiSgGUfQo1LIJnVYTUixD/9Bd61OITev0yaKZWulxLxmFsroS8u0XAzfU7k3YGokoQLo7AZdaihupRyGAuqIJAIAsdyusbepgJ4cDqVYTJuelAgC+repZ2qtlFKYPYEahPsykt6nHWukxh5lQEhv6RxtE1CfS5wNqqpVvDGYU7m7qhF8qB/ZZKYn5ZS4i9Cgc4bRCAOjwyl5PLEgVRdkxANS0GS871gghcNOCkXjhnMm4Yd5IzCnNgL10rHJnt8nHADA1XzlYjCVQqA0gMVp6HMgoDAQKtYxC7KuC7AxkNYouWYXvbW/EnmaWtxORcVLKmAKFOUO87FgjCkuUz1+fTy8/Ls5QPpt3N3Xq/x5dSSnhf+ZBoEu5sayt7pf1Eg172iATixVIdUbcvC5NOYbK7WjQ+0AjVQnAzdLLj3sONNGnHg9oRqH68xnoUcjzD0pmDBQSUe/q9gI+L2CzAdl5hnYp08uO7YYnzkZNKykNk1FoNZv0IBYHmkSmTzw2UHYMALVRTDzuyiQErObAa0Lok4939Nh2ar6S2bixJvT0u3Ck3wc0qpl+BoeZ7NEnHgd+HpGRrZzESz9QtTto+2kFDswucsIvgU/KmkFEZFinC/Cov5cMlB7Xqf1gh/ogk6706cdq+XFRug1T81Phl8AH2xt7bC8/ew/YvF45VjnwCOXG2n39tVyi4a3LxWYjx/21LiXgl9vZBHjVwH+qcsy3f5ESiFu/t61Hj2q99Hgw9CjsrfRYTZLo9El0ev39sSqiuGOgkIh6p/X4KSiGMBn7yEj0IBMAgUBhcyOkJ3QgsDBNnXzMPoWRNUU38bhG7c2XZ2Dica9Gj1P+3lsJ6QoOCE7KS4FJKL1qouoF2FgP+HyA2QxkGft5qppDZBQCIfsUamYXKwezW2tjm8xMRMOUNsjEZoewR+7jO1wGmXSl9SnExu/08uPjJmQBAN7b3gR/l5YisrkB8uWlyn6nXQAxZX/ldpYeE/UPLaPQwIUPAPoxXV5nY+BGNVA4IScFTqsJrW4/djR0BO0XGGYygCEMR+RhJqkWEyxqOx32KaRkxUAhEfVKRtmfEOiHQSYA4ExXMgcAoCF0+XFgoAkzCiPSMgqNBgpjKD0ORaRnBjJVy3cG3eewmvVgc1Tlx1p/wuw8CFPkq85un1+f4FzcLVAoSsYoX4QIFE5S++hsqetgH0wiMi6KsmMAqFdPqnNS+3hhJomIwpFASalSfvztVwCAOaPT4bSasLfVg3VdyhLlC48pZYCjx0EccxpE3gjlDgYKifqF1DIKDQYKtWOu3M6mwI1qSa/ZJLDfCCVo+F1V8AXkQTHMxJmu/O31KL0ZQxBCcKAJJT0GComod9rEY4OBQikldqlXABOZUSiE6FJ+HDpQWJimDTRhRmFEjVGWHrfHVnockppVKHeH6FNYoBwsbogiUCjV/oRGB5lUt3ogoVwBzuzeU7OXjMKx2XZYTMpB4L42vsaIyKAos2/0HoXDqPQY6DL9eLVSfmy3mHDUmAwAwPJtjcp961ZBrvoUECaYLvoFhNkMdAkU8iIOUT9o1qpSjB1DBjIKuwQKuwzS21/vUxjcBzCQUTiAgcKUVECrsOql/Fg7nmzq4EATSk4MFFJcSK8X/uWvQ1bujrwxJRW5d4/yhcFBJvUuL1rcfpgEMDLTFnmHvjA4+biaPQojklEPM1EDhX0tPUagTyFC9SlUs/Y2RdOnUBtkkmOsP6FWdlycYe3RW0effFy5q8cJp81swlg1a3ZzbXB5DBFROLKlUfki2kDhMCo9BgBx4Fzli43fQaplflr58VcVLWhsaoX/2YeUbY89DaJUmaSK3AJACKCzI5C9SUSJ09So/J1h9GKzmlGoHUPaU5Ugv2r/osBF4q49/lrUYSYDmVEohAgMNGkLP9AknRmFlOQYKKS4kGu/gHzpCfj/89hAL4XiTSs9Nhgo1PoTlmTYYDMn9iNGRBhoopUes0ehAVH0KGz3+PTJc3l9LD0GAFGqDTQJlVGoBAp3NnSi3WPwYEt7PfRl4rGmeBQgTEBrS6BZdxcTc5VA4da6/u1TKPfugdzyQ78+JxHFidqjUBgsPR6Ow0wAQBRp5cdevfx4XE4KJuamwOsHPnznE6WiILcA4rTzA/tZrYE2Giw/Jko4qWVJZ2ZF3NYvpR4ozC9Wj9NSHUHblKTbkOuwwOuXekWJxyfRoQYNBzSjEOjSp7Al7CZa6XELA4WUpBgopPjQMoG0wRc0JEhXe6B33YhiQ/to/QnHZiWwP6FG620XpvR4hFp63NLpQ5ubv6h7pfcojHw1WDvAc9pMcFjjcLCmZRRWlffo95LnsKLAaYFfAlsMZu0FSo8NZhSqpend+xMCgLDaAq/9UH0Kc9U+hf2YUSilhP/em+G/+wY26ydKRlH0KPRLiYZhOMxE0336MdBlqElbOiQA04VX9RwKk6+UH/MzkqgfaKXHBjIKmzt98PolBIDssWOUG7sFCoUQmKWVH1cpWXut6nG8AOCwDnAIwxF58nGmXSs95vkHJScGCikuZGWZ8kVDHaSXvRiGDK0/YXomhPZLMQItUFiancCJx5rc3kuPHVYzstQeIdXMKgxLujuVRvCAoSnBtW1x7E+oPWd6JuD3A9pnSRdT8pUDyE1G+xSqw0xEPDIKESg/lpW7etw3MU85Od3R0AGvv596YTXWK1kyUgJs90CUfLRAYUbkQGFzhw8+qZwcZ6UMw0ChNv14w7eQ6kn53BIHUvwe7HHkY8PhZ0DsN7vnfhxoQtR/omhfU6sOw8tKMcN2wKFASSnEofN6bLd/oTrQRO1TqA0ycdpMMJtEj+37lXpOJHsJFGbYlc9rlh5TsmKgkOJjj3qyKv1hJ9BS8tEmHhvtTwigXwaZaESEYSYAUJimlh+zT2F42gGe1QakOiNuHq+JxxohRGCgSVnP8uNp+UrW3gYDfQqllEB9dBmFWqAwVEYhAH2gSaiMwuJ0G5w2E9w+ibLG0NPv4q5Libasqeqf5ySiuNHL9NKzIm6r9SfMTDHDMtAnxwNAFI0CikcHlR+nfPQm5lavAQC8P25B6B0ZKCTqF1LKqAY06YNMnFaIjCyYl9wP08nn9NhOG2iyo6ETTR3ewTHIRCWckTMKM1K0HoVMoKHkxEAh9ZnscOnDAwDwoGwoUQeZiMKRhjb3+PyoUAdDjOmPjEK99Lgm7GTDIn2gCTMKw+pSdtx9mEco2iCTvHhlFKLrQJMQfQrVQOHm2g74ImXttTYDbjUonB05UNjp9ev9v4rTQ/88ekZhRc9sR5MQmJijZBVuqe2fPoWybFvgG37eEiUf9aRaGDiprh/GZccavfx49UrIfXsg33oBx1Z9DQD4vKozdA+wPJYeE/ULVzvgUY+7DJQe64NMInymZaVa9KSDddXtekbhQA4y0WmBwl6GmWRwmAklOQYKqe+qyoO+5UHZEKKVHo8wllFY3uSGXwJpNhNy+6Ppeo4aKOzsCJTOdlOoDzRhRmFY0U48bo/fxGNNYKBJz8nHozLtcFhN6PD6I2ftaRctMnOUhvYRaJmmTpsp/MGnllFYVR6ytcIkdTLzlrr+6VPYNetS7mNGIVHSiaJH4XAdZNJV1/Jj/9L7AI8bE0bmYEyWHR6/xEc7e042NlJ6vKfZjXc2N0S+AEVE4an9CZHqgLBHThKobTd+sblr+bGWUZg+CDIKjfQozGCPQkpyDBRSn8k93Xpk1e4LvSElHVldAQAQUQ4yGZNlN5SZ1lfCZg+caIXpU1iYpmUUMlAYjmzUAoWR+xMCXXoUxjFQqA80qdzVIxhnNglMyTNYflynTTyOfpBJ2NdsTr7SaNvnDQTPuwgMNOmnycddsy5rqvvnOYkoLqTPF5iUaaBHYb1L+YzKSY3j522SEcWjgaJRymfwto2AzQbzhVcFhppsa+pZVZBXqPxdXwPp73mi3ujy4ob3d+OR1XvxRXn4yaVEFEFTo/K3gWxCwHhGIRAoP/6uuk3PKEwbDBmFnHpMwwADhdR32vABs/qBX8eMwqFA+v166bHRHoVl+iCTfph4rNH7FIYOFBbpGYUsPQ6rqQ4AIAwMMgGAmvb49igEoJSJpToBr7dHljIQKD/eGGGgiTbxOF6DTAC1h2JJqfL4IfoUagNNKpvdCZ+uLZsalGEmmtq9ynuViJJDW7MyiEgIwJkRcXM9o3AYlx4DXbIKAYhTz4MoKMK8sRmwmQXKmjp7ZnRn5QAWC+DzAQ11QXf5/BL3fL5Hnya9q6Gf+ssSDUFSyyjMzDK0fV0UGYXTRzhgMQH72rzYqr7H022DIHzhUAKYMkw1EwBkqMOnWtw++MO0RyIazAbBO42SnZ5ROGm68j1Lj4eGxnrA3QmYzYEr8xFog0zG9sMgE53apzDc5OMiNaOwrt2LTi8DKiE1Gi899vmlfpAX19LjrgNNQvQpnKIFCve5wvajBBAIGOdEO8ik959F9DLQJCvFggKnFRLAtvoElx9r/QkLipX3ptcTHDgkosGtWS2TdaZDmCNnxug9Codx6TEAiMPmAzYbMHYSxDGLAChDDeaMTgcALNvaGLy9yQTkqBeMuh2X/uf7WqyrDmSna72ViSgGavsaEWVGYZ6Bix8pFpNeUbKqQinzHQwZhYaGmajr9Eug1c3zD0o+DBRS3+1Rsn/EzIOV7+tYejwkaCWWeYUQFmMnKDu10uP+GGSiErm9Tz5Ot5vhtCofdXvbmFUYimwyXnrc2OGF1w+YBJCdEt8TV6EGChFi8vGkvFSYBVDn8upTl0PRMgphMKOwykBGIQCgZIzy+JU9B5oAwMRcJatwa21iA4Vaf0IxblIgGMryY6LkEcV0UCAQKBzOPQoBQBQUw3TXEzD97i9BxyRa+fFnZc1o93TL6NYGmnT5jPy2qg0vrlcyDOePUTI69zBQSBS7ZuMXm/1SRpVRCATKjzt9ykXiQdWjsC18oNBiEvr5BycfUzJioJD6RLa3Ag1KgEbMPEi5sbEe0sODrmQnq7VBJsb6Eza6vGjq8EEAGJ3ZjxmFOYHJx6EIIVCoZotVsU9haOrUY2HgIK/rlWCzKc59KEdrA016BgpTLCaMU6cLb+ytT6Feemw0ozDQo7A3vWUUAsBkfaBJYvsU6v82peOBfCXTV9YyUEiULGQUg0wAoJ6lxzqRlgFhDf6snpqfipEZNnT6JD7e2Ry8fbeBJnXtHvx95R5IAMdNyMT5+yvHD3ta3BxoQhQrvUdhVsRNmzt88PoBAeOfafsXOYO+TxtMgcJeMgoBICNFnXzMgSaUhBgopL5RswmRlQvkFwF25WSZWYVDgJpRKAz2J9QGmRSl22C39ONHS7YSEApXegwAhWnKiUV1CzMKQ9IyCrMiBwpr2qK7EhwNbfIxyneGbD4/xUifQn2YSeSMQpfHr/eoihQo1HoUoqEWMkTzai2jcEtthNLovtIyCkePh1ADhdjHQCFR0mhpBAAIAyfVHp9Ek9oIf7iXHocjhAgMNdneGHxnfiBQ6PNL3P3ZHjR1+jA2246fHjgCeQ4rbGYBj1/qv9uIKDoyiozCGjWbMCvVAovBi80TclL0zDxAqRQacE6l5QHaW3s95tPKj5s50ISSEAOF1Cdyj1qGVzxa6TGWp/WDCR8o3FHfgfImNo4e7KRWejzCaKBQKbnsz7JjABARMgqBQFlpdSszCruTXg/QqmZhZOZG3L4mEROPNSOKAZtd6Y2pDdLpYlqEQKHsaA9c3TWQUahlmKbbzRF73ohURyD4WNGz/Hh8TgpMAmjo8OlZl/EmmxuVDG6tn2N+kXJHTVVCno+IEqDZeEahdiHDYhKD4+R4kFowNgMWk8D2+k5s79InVssolLV78ex3NdhQ40KqxYTfzS2B3WKC2ST04wP2KSSKURQ9Cuui6E+oMZsE9hvh0L8fFBmFTjXL0esF3OE/OxgopGTGQCH1jdafsGS08n2Xg7JQmjq8+P3yMtz4/m6WeQx21VFmFKpTA8f05yATIBAQaqyH9IX+RVyYppUeM2OgB61kxGwB0tIjbp7IQKEwmYFRYwEAcveOHvdPzVcOFMsaO0NPF9ayCR1pECmOnvd3U2VwkIlOLT8ONfnYbjGhVH3tJ6z8WOvdOKIYIsUBkd/75y0AtHT68OHmfZy4RzRYRFF63LU/oRBxbvUwhGSkWHD4KKUUcPm2xsAd6jHpN+40vLJBabHxi8MKUZIRyCAfqX5dyUAhUWy0vqsGph7X6v0Jo8uQ1voUAkCafRCEL+ypgEldR4gqE02GXfk5WXpMyWgQvNMomekTj4uVQKHQMm7ClB5vreuA2yfR1OFjmccgJj3uwP9hlKXH/Z1RiIxsJcjl9+u99rpjRmEvtH+zzCxDJ6I1MVwNjoZQ+xQiRJ/C7FQLCtOU6cKba0ME4/RBJtFNPI44yERbm9ansHJXyPsn5SoZj4kaaKL1JxSjJyg3GMgofGz1Xvz+ze/x0c6mhKyJCAD8n/wP/leeSmzZ/RAh9WEmkQOFdS7lOGm4DzIxQis//nhnM1wedcJo3gjU2LNw3+iTAQAnT8rC3NKMoP1KGCgkipn0+wJZ0lFlFEZ3sXn/osDF38EwzEQIYahPYSCjkMNMKPkwUEh9o04AFcXBGYUIk+GyrS5wAs2DskFsXxUgJZDqANKzIm7u9UuUNyn/n/2dUShMJiBLndYbpvxYG2ayr9XDTNbuoph4DCS49BhQSmoRmO7b3dReyo+l3p9whKGnMjrIRCN6ySgEgEl5ap/CBGUUyrJtyhel6nRorf9Wawtke1vP7aXEmirlAHZLgqcx0/Al/X7IFx6D/N8rQPnOgV7O4KdmFBrpUchBJsbtN8KBwjQrXF4/Vu5W2ml4UtJwz34/QavViQnpJlwyu2fv2kCgkC1xiKLW2gxIv9ISxUCWdG2b8pmWG+VnWkm6DSdMzMIx4zP14NuAMxIoVIeZNLH0mJIQA4UUM9nSHEg3Lx4FIJBRKMNkFG6rD5xA7+EE2sGrS39CI1lmlc1ueP0SqRYTChIVQOpNrjbQpDbk3TmpFlhNAj4JZrJ2I/WMwshXggGgNsGBwkBG4Y6Q2Ula+XHIPoV1ygUKoxOPq6LMKETJGOXvyjJIv7/H3VpG4ba6jsQEpLVBJqVKRqFIcQQOzENMPq5q8aBJLXep4EkwJUpzA+BR3kuyvGfLAOpGO24ycBFOKz3mIJPITELgWDWrUCs/fua7GmxJHwWH14XflbTAau552jMyQ7m4yR6FRDHQ2tekZUCYIwfwAqXH0R1DCiHw80MK8cvDigZPGwan8YzCFgYKKQkxUEix08qOcwsC/cAiZRTWB05WmVE4eMmo+xMGBpkMxC9wkaMGhsJkFJqE0LMKq1sZKAzSqAQKRVbkjEKXx48WtxIgy3cm6MS1eBRgsQCutpCfI1MLlGDc5loXvN2DcVFMPAYCFyuMZhSioAiw2pRhKyECcyUZNqRaTOj0ybgPbJItzYHX96hxgTu0ycc1PdezoaZd/7qiiZ+3lCB1XT53mVEYWTQ9CtsDPQopsqPHZcIsgM21HfjP+lq8sUnJmP/VxhdR0Bx6OnxxhnJs0NjhQ2uo3rdEFF6T8YnHAPRhb4lqX9OvHErfRNnWs6JDk6n2KGxij0JKQgwUUsy69ycEEJh63NIE2RGc8VPX7tEn+AEMFA5q1dFOPB6gQSaa7MiTjwvTlGBQFTNZg0VxkKddCXZaTXBYE1P6ISzWQOZeiD6FIzNsSLOZ4PZJ7GwILqfVMpmNZBS2e3z6gZt2ohhxbWZz4PMuRPmx2SQwIVcrP45zqa/2b1FQDOEINPUWeUqgUIYKFO4LfAbXu7w8CaaE6DpMhxmFvZOdHcqFBsBQj0J9mMlQOKnuB9mpFhwyUsnyeXadUmGwSFTikLoNIS+mAIDDatYzNnlcShQd2aweQxroT+iXEvVq39W8gag+ijPhVAcAGig95tRjSkYMFFLs1ECh6BIoFI40/QpLUJYBgG31yomzRX3V8YBs8JJ7owsUlqmBwtKBChTm9F56DABFzCgMSUbRo1Ar2070AZ7Q+hSGmHxsEgJT8sL0Kaw3nlG4p1n5WTJTzFEFPcXIUmVt4foUaoHCUMNW+kDrTyhKxwffURA+o3Bjl4xCgFmFlCD1wRmFHGjSC63s2GpTpmZGUOdiRmG0tKEmADA5LxUXFiifxb1Nh+dAE6IYqaXHwsDE46YOH7x+wCSUoH7S03oU9jr1mMNMKHkxUEgxk3uUQSZBGYVA2PLj7WqgcHax8sFa5/IGJtPRoCGl1DMKjZYe72xQAoVjs1MStq7e6BlkzCiMntqjUBjKKFQOdPITnd2i9imUITIKAWBqgdLqoGvGnPS4A9mROQYChdGWHWu0gSbqIKfuJqpBzK1xzijUh7t0DxTmh84obHB5safFAwFgWqFy1Zt9Cikharv0JHa1h209QggECjOMTZnnMJPo7V/oxPicFOQ5LPjd3GJY83tviQMwUEgUsygyCrWqlKwUCyymQdJnsC+imHrc4ZXo9PKcl5ILA4UUEyllIKOwpDT4Tn2gSfBBmTbxeFahU//gZNBmEGptCfzSKyiOuHlzh1cvjxqdFWXQJV70HoUGMgpbmFEYpFEbZmI8ozBhE49VWkYhyraHGWiiBOM21bQH7tf+7212IC094nNEPchEW5tWFh0ho3B3U2d8L4SoQVN92Iu2nrzQGYVaNuHoLDtmFCsljuXMKKQEkPXdhpex/Di8KPoTtnt8cKknlswoNM5sErj7hFI8vGi88rtKDxSGHrIHBAKFvJhCFKWo2tcMof6EAOBUK+h66VHosJr0SroWtn+hJMNAIcWmuVEJKAkBFI4MukuEyCiUUuqlxxNyU7oclPHEddDZW6H8nZMPYY9cSqz1JyxMsyasb11EWo/CtpYevTE1WkCoqtXN0jiV9PkCJ64Ghpn0V+kxRo4BTCZlbVogs4uJuSmwmAQaOnzYq5WSa5PWcwsMZeoEMgqj/FnUjELUVId8reU6rMhNtcAvA1nUfSXbWgKfp+FKj+trIL2B0pYNaln2tIJUjM1VDmbjPWCFCECPIUKSA03CktEMMlEvwKVaEtcTdqgyCRHIWMpVj0ldbZBtoTN/RmYqxzrMKCSKjuySJR1JrXoMmRvlxONBS80olL1kFAohkK4ONGnmQBNKMgwUUmy0QSb5hT2DSepBmTZYAFDKjJs6fDAJZeCFFijcw4OyQUfqg0wiZxMCg6A/IaAMd0hVJ283hM4qzHdaYRKA2yf1E7Bhr6URkBIQJiA9I+LmNf1UeixsdqBolPKN2puvK5vZhPE5SuaeFhDTP28MDDIBAhmF0ZYei/RM5cp5l6zq7iblaQNN4tSnUCs7zi9U+sB2lZmj9Dvz+4EumV1aWfa0fAfG5irvDV6YoXiTUgJq9YCYdahyGwOF4akn1cLIIBP18zZ3qGTfDBBhtweCGCGm1QNASXqgNYnPzwuJRIapGYVG2tfUaRmFzqHxmSYMlB4DXfsUMlBIyYWBQopJyInHqlAZhVrZcWmWHXaLST8559XbQSjK/oT6xOPsgQsUAohYfmwxCRQ4OdAkiFYykpEFYYqcsVLbT6XHACDGTwEA+Je9BunvWcIbKD9Wg3Fqf0phoD8hAOxRS9CjLT0GoE9lDj/QRFnblto4ZRSWhS47BpSr1Xpf2BrlM7fd49MnQk8rcOgZhftaPeyRM4RJj7v/g3StzYBb+T0uZh6s3MbS4/D0jMKsiJvWc5BJ/ITpna3f7bTAZhbw+oF9bTw+IDKsOZrSY7UqZahc/DAw9RgAMtVAYVMHkxQouTBQSLFRG/mLEIFC5Kkn6iEChVoWkN44mj0KBx25d4/yxYiRvW+o2qUOMhkzgBmFAP4/e+8dH1l2l3k/51ZWVUmlnFvqHCbPeDzBORtsMDbp3QUMC8ua5QV2l7zAsixgwGBggd13gYVlCWvAaxywccJhPJ4Zj8eTQ4fpbkndyqlUUuV0z/vHOefeklQ3lFSSKvy+n09/WuGqVJKqbt3znOf3PBXNx3aFJkLgomxMScL9BZ7OuXGRdyhC4Td/l2gFvXYR/Cuf3fX5C/2q+Vg2+9bgKEzly0jKnd29CIVMjR9bFpqI89zVejkKVanLxKnqnx8YBgDw1UUAQqDUOTAQ9qI/7EN3hx/RgAcctDnTqvDlBei/9h+g/+q/A3/ykcP7xir3LdYDTJ4Wb8fXwFNbVQ//0tQmfvxTU+17Dq5l9JiKTOqG2sC2aj7WGDMjcSjLlSBcwYsFICPz+VyUmRiOwlYZPTYyCu2Fwig5CokmhYRCYk/YOQpVThEyaSO3wcgn3CkUblFeXMOx7N5RWNY5bm4ebeOxgqmcQhuhUIlCVGgi4Jvr4g0XQmEiV0ZJBzR2OA4X1tsP9p7vAwDwf/jLXQLwOSkU3twsIJkvg+/ISbND5RN2h7wI+fbwMqiajy0chad6QtCYCO6ux5g7l+PXbGc+oYT1by80uSjF0/P9HcYx4/KcSzmFrQd/4Sno7/8pYHEWAKB/6VOH983jFdmgHWGjhRsWzsbPXU3g5mYBX5raPKQ72FjUkudFjsI64uAoBKjQhCBqRp3PvF6gI+x4uNpsbpk4hYrRY7u1LI0eE80KCYVEzWxvPK4yehwMmbvlayvgnBuh/qdkI+hQxA+NAbmSTnlxDQQvl4EV4UqCC6FwMVlAocwR8DAMRo54h7BHCoXrNo5CWVyxmCLHAADDUchqKDLpCXnh0ZzLQuoBe/03AyfPAfks9L/5H9suxLqCXiPC4Mpa1nAUMheOwj0Xmaj7pZre52aqXhyGfBrGO4XD9ura/lyFPJMyG41VG/ROZPMxl8ddkvmEajwbAMZlWD/lFLYOnHPon/6/0P/oV4FsWjj6mAZcvQi+NHc498F43kmBfvy4+LjF+LF67l3Z5/OiaZGOQjcZheskFNYPB0chAIx1UiQOQdSEEV/T7VgiV9Z56zkKlVBYLgN566iZriAJhURzQkIhUTsb60A2I1pJrcZT1aJhfQWr6RK28mV4mFl44asQluiirIFYXwbKJVGOoBx6NsxUFJloLppmDxQpEHGLMhNACNQAOQoN1EVel7NQeJj5hAqmadC+/8fFbvULT4I/8fC2z18YEELYxZU0kJDuSBcZhWrscU/5hIAoWtE0kUuzsV71kNNGock+cwpVkUnvAFikeuEMGzAdhSWdGyLMLQOmo1C1es7SWF1LwHNZ6H/yAfCP/TXAOdhr3w7t534LuO0e8flH/vlw7sja9pF/Ni7F7CqOwlShbCyUrqzl2rM0Qjlw3GQUUplJ3WA7clyrMdpJzccEURM15BNu5sso88ObSjkUAkHAI/O9bXIKO1XrMQmFRJNBQuERwmeuIfX5T4Cr/KlmQY0dD4yA+aqLBpV5MNfiYtE6EQvA7zEfclRo0oCofMKBYTDN+fRg5BMedZEJANatykxcjB6ToxAAwDfj4g0XF3mrKp/wkHeC2fA42Du+CwDA/+5/gifN7DPlmLu0mBQ7uh4PEHP+WVSRSa2Nx8Z98vmAIblJMj9T9Rij0GSfOYX8pnRmWeUTAua45+oyrq9nkS9zRPwaxrrMn2+8i8bqWgW+sgj9t34WeOoxwOMF+74fhfZ9Pwrm9UF7zVvFMY99Cbx08BsiRiRAr3jNV0JhtVKVylzCXElvuzF4rpeBVFK84yajMKtc3C3ivjlKlFC4vly1HAsgRyFB1ArfTIg3XEQpqM3m7uDhTaUcNIyxbePHVhijx1RmQjQZJBQeIfpDn8bGH/wa+HNPHPVdqQm+IAP8q+UTKiochdfjYjGgxo4VKg9moV1DzRsQLhuP3YwdAxWNx7GjzScEYI4ex9css0JUmUmqoBtlFm3Npho9diEUpuXISPjwd4LZ278dGJ0AUlvgf/8/jY+rnMJriSKKzAN097lqb140Ro/36CiEWWjC56oXmpyRjsJr6zno+8lhVfmEVmPHgBBpGAPyWVyaE3/T8/0d21y+avR4YauAUjs6uVoE/uLT0N//k6JIp6sb2k+/H9pr324ecNsrhEM4uQk8942Dv0NylNMY+Zejx1icFUH3FewUYC632/hxOgVwKVJZuIMVnHMjloUchXWgp1+4wEsl00m/gxF5TbpZUXZFEIQN6hrSxWazMXZ8BNeQB4oSCtNpy0M6afSYaFJIKDxK5Ggntxhda1hs8gkNKh2F0lGjGo8Vo7R723hIoZC5bDy+kRBjlUfeeAwA3b1CLCkVzWbJHQS8mjHyQK5CAAnlKHSfUXiYo8cK5vWJEWSmgX/9K+AvPAUAGI360RnwoMAZpqKjropMOOfG5sTwHjMKARiFJrAoNDnWFUDAw5Ap6vvKBeRy9JjZOAqZzyce/wAuLgrH0oWKfEIA6OvwIujVUObAEm3ONB2cc+if+Qfof/iromXy+Blov/R7YKfObzuOeTxgD74RAKA/8vkDv0/Y4ShEdy8QiQK6vqsVfGfT8eXVNhMK1dhxJArmtV8sJ/OiPAoAYsEWW1gfAczjMeNULHIKg14NfVKUpetSgnDBlplR6IRZZNJiDumwe0fhJgmFRJNBQuERwuTCzirjqlHh81IotHEUsj6xYBejx6rxePvClYTCxoPLxmMMjjgemyqUsSJdZhONMHrs9ZkjtDbjx8pVuNjmOYVc14FkQrzjJqPwiEaPFez4GbA3fQsAQP+b/w6ey4AxZo4fd02ahQo2JPNlpAtiBb7njEKYhSbcYvTYozFjc2SvhSY8kwZWZByA3egxAPQNgQO4tCl+tgsV+YSAGJFRo3WzdM5tKng+B/6nvwP+0b8EuA726rdA+5nfBIv1Vj2evfot4o2XnjHKRg6ETFrkFQPCsQU5imUxfrywJc4htw2Kx2bbFZrUkE+oiky6Ah74PK0xpnfkyIgGu0ITaj4mCPcYo8ddMcdj14wikxbb+JCOQu5CKEzmy/ubMCGIQ4aEwqNECoU80TxCIdd1YHFWvKOaP6shHYUryQJSBR1ejWEitn1RroKjV9JFFMvVM2OIQ0YKhczF6PENOXbc3+FFxO887nkoKMeAnVCocgrb3VWV2hK5foy5ypdRo8f9Rzg2wr7te8S5Jb4G/tG/BmDmFH5p6F7kegYdb0PlE/Z2eBHw7uMlUDkKl+bAi9VF5zN9Kqdwj4UmSmjp6QeL2o8qsv4hzHf0Y0vX4PcwnOzZLd6rzMK5NsuGa3b0/+83wJ98BPB4wL7nR8De+2OW+cAAwAaGgXO3A5yDP/qFqsds5UqWEQ2uUSJktAssYD7ezEKT7c3Hysn7+uOd8v0iNtsos4krp7ubfEK5qO5ptUX1EWIWmixZHkM5hQRRA9JRyGpwFLZM47GEGaPHSctjlFCocyBToPUu0TyQUHiEGG4Am5bWhiO+KirgPV6gf9j6OOnsuR4Qws1ELACfZ/vDrTvoQdCrQefAUqq93V2NAM9lzFFUF0JhIxWZKJh0tXDbQhPpKGz3x5zKaYp0Oo7B5Uu6ka3SdwSjxwoWCEL7vv8XAMAf+jT4tUt444kudJczmAsP4o/5aUfxY6EO+YQAhCjdERZi69Jc1UPOyFzWq3ssNOEynxDHTjof3D+ES10iH+50b3DX+RYAxjup+bjZ4JsbwMVnAcag/eSvQ3v9NwvXngNMlZo8+gVRoiHZypXwO4/M4/v+4Rr+5rl9XnvEVePxDievzCmsdBRWjvyf6Q0ZgkxbuQqlUMhcCIXKUdgy7aCNgBIKbR2F1HxMEK7ZdN96vN6qjsJwWPxvk1Ho82jo8IlrMho/JpoJEgqPEuV+SiXBC03i8JBjxxgatRUXmM8PdPXgWlRk3Z3q2V12wRij8eNGQjUeR7vMHTIblKNwohGKTBQqUD9uvQAeipCjEACwh8bjkFdD2He0Lxvswp1gD74J4Bz6X/03dHo4fnLu09B4GV9Jh/HZqwnbr69HkQkgRyyNQpOZqscoR+HMRh750h52kY18QndC4eUucX8u9HdUPWSMmo+bj2sXxf+jE2BnbnH9Zeyu+4FwVJwLX3oWAPD4bBI/9k/TeOSGcD784+U4Etm9O/r4mhIK+7d/b8NROGM0zG7my8gUdTAAQ1GfUUR0ZW2PbttmZEs6CjvdNB5TkUndUdnZ686jx3RNShD2cM7NOIUaWo9bLqPQResxUNF8nG8fFz3R/JBQeJSEI+a4jnJyNTh8wTmf0KBvAFNKKOytLibRRVnjYDQeD7ptPG6gIhOFKggiR6EjPOFeKFyrGDt242Y6aNh3/aC4MF2cBf/0h3HL/LP43qnPAgD+7KkVWwdfXYpM1P0Ykw2vO0YsFX0dXsSCHpQ5MLVRuyDCbzoXmRj3pX8YF6Wj8MJAqOoxqvl4brNAOTlNAr8qhEJ22r1ICIjNOnb/6wEAW498Gb//6AJ+8+F5bObKONblx0RXAIUyxyevVG+AdcW6OM+y3h0j/0OjgNcH5LPAmhjzXJCv8f1hL/weDeekiH55NbP3799sqExYFxmFxugxOQrrBnPlKBTXpItJaocnCFuyGUA12zuMHpd1brikW7b12K1QmCNHIdE8kFB4hDDG4FEjO81SaCKFQrgRCnsHbR2FAAmFDYVsqHSTT6hzbjgKG3H02M5ROCwdhRvZEnJ7cXm1CnJkhMUau/G4GiwchfYv/g0AgP/T/wUKBbxr7mHcNxpGSef47a/OI2kx3lEvRyEAc8TyZnWhkDFm5hTW6JziuYyRGYqJE47Hx6P9WA71QuM6znZWzwwdivjg1RjyZW6Iv0Rjw19+UbxRo1AIiPHjJ3vO4d8FXouHZragMeDbL/Tg975pEv/idrGp8pmrG8gU97ZwMZxZOx2FHo+ZYSyfG6ZAL553Z6Wj8Op6DuU2EWR4De6beFacc3tCjXHObQn6pVC4sQ5eqr5R2NvhRdDLRDt8iq5LCcIS1Xgc6tiWUVuNRK4EnQMaA7pbrcU97FxmAlQ6CkkoJJoHEgqPGCUUNkuhCV+QYpJdkYlkqecYMt4QfCgbTpadqMU6CYVHB+cc+hf+EfxzHxUfcOFeWk4VkStx+D2sPoJLvTBGj60dhZGABxG/OPW19fixMXrsQihsxBDqe14F3HkfwIXYy7q68RMPjmAo4sNKuoT/+tjCLtcc59xoXh3u3P/jlh0zSxusshFP7zWn8OY0wDkQ63UVFH4xJZyeE6lFdGxWf/x7NIYR6aScpUKThodn0oAca2enL9T0telCGX9004/fuP0HsRHoxKiWx2+9dQLvvWsAPo+G+8YjGO30I13Q8TmHcX1LrByFMJ8bKqdQOQrV68VYpx9hv4Z8mWMm0SaPxRoyCmn0+ACIxgB/QJxX16ufIzXG6LqUINygGo9dFZmI81l3yAuPdvRTKfWEhVWZiYNQGBRCIWUUEs0ECYVHjOkobPxCE66XgUUZ2u/CUXg9LMpOJosJ+DzVXxhUoPlCOws2RwgvFsH/8g/B//7PAF0Hu/8NYK9+s+PXqSKT8a5AY73oK0fh5oZlEy1gulrauUSH1xBC3QiNxzthjEH7lz8ChGQeX+8AIn4Pfu41o/BpDE8upPEPL23fgNnMlZEtyZy0SB1Ez5FjotgpkzYbYHdwpndvzcf8piwycZNPCOCSdCye25wBVhctjxtT48e0CG58rl8SosbAsCvnr+KZxTR+/J+m8cWpTTBwfMvsw/jgS39qlOsAQhB593lxm/94eQPF8h7c1evVMwoBAOM7hELZNj4iX/M1xnC2V40ft0mhSdJ9RuE6jR7XHcaYWbxjM348pgpNqPSJICzhylHYFXM8dr0RN5vrRYdLoTAgzuVW0y4E0YiQUHjEePrkRUszZBSuLos8Cp/fHOGw4bonBgA4kZq3PEYtGrbyZTp5HjI8EYf+wV8Af/SLANPAvuuHwH7w34N5nV/IGzKfEAAineLxCQA2Ll0lEi22s0CtRo9dOArXGmz0WMG6e8G++1+Lt0+eBwCc6AniffeK89OHnl/D80tmE53akFA5afv+/l4fMDIu3qloeK1EOQqXU0Vs5moY970hRjbd5BMCwKUVkfV2YXMaXObCVWNcFpqQo7Dx4VdfAuDeTZgt6vj/vr6EX/nSLNYzJQxFfHj/64bwr+a+iMDyLPDyS9uOf/3xTvSEvIhnS3hoequ2+5bLAmlRirKr9RgAG9+e31lt5F+NH19ul+ZjVWbikFFY0jk2ZY5VDzkK64sqNLHLKZTnyPl2vj4gCCfUNaSLzNW1Vm08BqjMhGhpSCg8YpRQyJvAUWjkEw6PgWnVM7AquVYUC+RTa9csx/KCXs0YraExD4BnM9A/9CdGgP2BfZ/pl6G//yeBqStARwTav//P0N7yLtdFFTMNmE8ISMeAahO3LTQhRyFqKDNRo8eNJhQCgPaqN0P7wJ+Dvee9xsfeciqGN53ogs6BDz66YOxm78xJqwfGiKVFTmHY7zGc01drcBXyG8JR6KbxOFMsG8/J85szwIq1UKjcMuQobHy4EvZO3+rq+D97ahmfu5YAALzjbDf+4B3HcctYN9grXyNu75HPbzve59HwrvPi+f+xS/HasgLV6GZHBCxUpWV7bAJgDEjEUd7cMJ57lUKhWWjS+kIhz+dFuQsAOIweb2RL4AC8mrm4JOqDq0IT+RidI0chQViz5X4qZb1NhEKrtS4AdKnRYyozIZoIEgqPmGYqM6ml8VjnHFMpMcp0MjEDqBDvKpiFJuRw4c9+HfzL/wT9439zYN9Df+xL0H/7PwqhaHgc2i9+EOzCXTXdhho9bjhHIWCMwXGbQpN2dxRyzs2MQoeRRp2bxRf9DTo2wnr6RYFCBe+7dxCTsQA2c2X8ziMLKOkci2r8sZ65muNCyOMWzccAcKZPbJpccemc4vkcoFrIjzkLhZdXs9A5MOgpoqewBb7qzlFod1FLHC28kAdmpFjswlFY1jm+Niscfj/7mhH8m1cMIugVl3jsNW8Vt/nUY+A7xqPeeiqGsF/D/FYBT8zZOyK2YVFkomDBDqBfxI/Ep2ZQKHN4GDBQMfJ/pi8IBmAlXcRGtsVdFqrx2Os14xIsUPmE3UEvtAZomW8p+ofE/3ajx+QoJAhnjIzCmOOhqhCvt0GvIfeFyijUdXMzqApRKjMhmhASCo8YY/S4CYRC1YqLEecik8VkEZmiDr9exHhmxdXuLTkKYYo3i7N1v2leLkP/+z8H/4v/CpSKwJ33QfuF3wEbGKnpdjLFsuHEa0ShkLlwFA61u6MwkwJKcmHusBu8lSujqHNorLnG4AJeDT/3mlF0+DRcWs3ir59dPVBHISwchQBwWuUUuh2xnJ0SJS1dPa6y6S6uiNu90CVf0m1Gj0eifjAAqYJOO9uNzPTLQLkkhHwlbtjw8loW6YKOqF/D/WPR7Z+cPA2MTQLFAvjXH9r2qQ6fB998WpwD/uHiumvxmCtHYZUiE4V6bszPidf/Qdm6Xfm9j8nXkJYfPzbyCWOOzn0lFDbT+bZZUI5Cu80UtZGUzJexVUtcBEG0EXwvjsIGyrmuG/6AyKoGgHTa8jBqPSaaERIKjxivchRuboCXG/vkUYuj8Jps+JwsbcDDdfs8GCo0MUnKnKjkJrhD3kUt8HQS+h/+F/AvfAIAwN753dD+7X8Uro8auR4X45M9IS86gw34ot/j3HyshKLVdBHFchu6qhLyAq8jAuazF83U2HF3yLttkd8MjHT68RP3C1fTxy/F8cyCuIirq6NwbFL8v7EGnqye86ZGLF9ez7ka7+Qyn9B1kcmqyCc8PyQForVlUT5VhYBXw6B0dc2Si7thMfMJb3EVCfGUfGzfORzeVTDFGAN7tXQVfvXzu8TAd57rht/DcHU9hxeWM+7uoHQUMgtHIQBA5hQuronnRbXnXduMH7vMJwSAOBWZHBxq9Hjd+po04NUwEKZIHIKwxci5dtN63LplJowxoCMs3rFZt3XJMpMt2qAlmggSCo8YLdYDaJpwj9iM5x41vFQyR+FUeL8NSkw65ZEX/y6EQrogg+k6AIDlhbrcJF+chf7+nwIuPgv4A9B+5Oegvet7wLTanv6cc3xpahO/+RXxOFDjlA1Hj3AUchuhsDvoQcDDoHNzJKKt2JQOZleNxzKfsEkv8B44FsW3yXbXbEnEIQx31u9nYaEOYECIkZi9XvWYiVgAQa+GTFF3VyJSQz5hscyNRuULx/sBj0e4RTesC7LU+DFlcDUuRk7t6VtcHf/0olig3D0Sqfp5dv/rAK8PmJsxHl+KWNCLN50QuXkfveiyWE05CtVURLXvKZuP51NiYTTcWUUolIUmbsfymxWuRo8d8gmBSkdhc55zGxolFKaS4DlrUXyEslwJwh61Zu20v44s69w4p7VkRiEAhOUmrY1QqByF2ZKOYlk/jHtFEPuGhMIjhnk8ZkZYIxearC6KMahAsGrD4U6uSaHwZFg6F9ZXLI9VQuFislhbmHoLwlOmI4kvW7dF14L+578PrC4BvQPQ/uNvg93zqppvI5Er4TcfnscffG0R6aKO071B/NDdzs3XR4HhcLHJKGSMVYwft99CgCtHoYux1lWVT9jEIyPfd2c/LkhBQmPAYLiOjkKYgohVoYlHYzgrhfVLLpxT/KYQHJmLfMLr8RwKZY7OgAdjXRXnZ5vxY1VoQs3HjQkvl4HrlwG4yyfcyJZwPS7+lncPh6sew8JRsHseFLf/1c/v+vy3ne+BxoBnFtOYijuX7nD5ms56bK4HlKNQF483O0fhtfVca7u75SYgcyEUqvIlchTWHxbqMBf1djmF8rqUhEKC2A3Xy6ZLuitme2wiV4LOxbVXrBGnkOqByilMJ60P8WtQZn8aPyaaBRIKG4FYr/i/kXMKjcbjcUcnms65sWg5KbO57EaP+zp88GkMRZ23p7urkkpH4ZK9ULieKTq+2PBiUeSdAdB+6tfBxo7XfJe+NpvET3xqGl+fS8GrAd9zRx8+8NaJbaH0DUW3FArXV23ztsxCkzZ8zBkjIy6EwgZuPHaLV2P46VePYCIWwOsmO+Hz1HmE2kVOoXJOOWWx8XweWJAZpROnHL/1RTV23B8SIzAyz46vLFp+jQrrn6VFcGNycwrI50Sboouoj2cWxdjxyZ4gYjbiklFq8vWHwXPbH4dDUT9efawTAPDRiy6uRdTmn93GYVc3EO3CYodweVcTCoejPnQGPCjqHFMb7lvBmw61qO507yjsJaHwYHDTfEyTLgRhTWpLTMIxBkTsz2lrFVEKO2MxWgbZfLyzLKwSxhjlFBJNBwmFDYAqX+CJxhUKuSwyYaPOi5aFrQJyJR0BD8P4kBRBbS7IPBrDcFSIEG1/UVbhKLQTCjPFMn70k9P4mc/O2IfPryyIJq5Qh3lx7PauFMr4/ccW8FsPz2MzX8ZELIDfedskvuvWvsZ+sZejx8hngax1sLDKKVxsQ0ehUZrjJlsm3RrZMr0dPvzhO47j3z9YW3mPG1Rpg13zsesstrlpcQHeGXPl+DSKTAbE7TPZNAvb5mM5Vkejxw0Jv/qieOP0BVcREU/Oi8XJPSPV3YQGZ24VY/L5LPhTj+769LsviMfbozeTto3wvJA3x87sRo8ZQ/nYSSwHxe1WEwoZM922LT1+bIzpxRwPpTKTg8UsNHF2FM5TjitB7EY1Hkc6wbz256lWzidUMCOj0HrNAZg5hVQkRzQLJBQ2At3KUdi4o8eqyMSNu0GNHR/vDsLTL8Wp+JpluD5AhSYGycrRY+uMwqVkEbmSjqVU0ditq4pqTx4acxWIr3h2MY2f+KdpPDS9BY0B336hB7/79gmc6GnQXMIKWCAIRORokV3zsXQULrWho9BofFQN0Ta0wujxgaMchcsLu5xaijN9ITCIpu1E1vo5q8aOceyk43NW5xyXpaPwQr8sJup3dsuoRXA8W0K6QBesjYbKJ3QzdlzWOZ5dEouTux2Ewp2lJjs50RPE3cNh6Bz4xCWbrEJ1Xg2EDCeFFauj51DSvPDxsmXj5bk+8dht5UITM6Mw5ngslZkcMDU4CpdSbVp4RhB2yKkUNxsfa/IasreVNz7U66BDCWU0SI5CorkgobABYIZQ6DJE/CiYr6XxWBaZ9AaB7h4Rrl8uAQnrn29UZma1s6OQFwvCBadYmQfXqwfeblQIDTMb1jvefHEOAMBcFNAAQK6k44+fWMJ//tIs1jMlDEd9+I23HMN77xqAz9NEpwslgNnkFBqOwjYTpznnwPTLANyVZbTC6PFBwzq7ga4egHNAuq93EvF7cEw6+S7ZOadqKDKZ2yogWdDh9zBDxFeOQrvR47DfY4gQlMHVWHBdBwyh0LnI5OW1LNIFHVG/hjMy6sMO9uAbxWvy9cvg8nW9kvfcItx/X7i+aS1oVxSZOInZi32TAICh4hY0i2PP9ovHrtNYflPjMqMwV9KRLorX/ZZeWB8lylFoIxT2hLwIejXovD1zjAnCDr4lhUIXUynr7XANGXYnFJqjxzYGD4JoIJpo5d/CGKPHjeko5MWiGGEFgJEJx+ONxuOeIJjmAXpkZtyac6FJOwuFRj6hxyP+FQqAxTj6Rq5CKEzY5DopR+Gws1A4v1XAv/unaXzmagIA8I4zMfzXbz6O88qp1EzIx5xd87Ead19OFaHbjW+3Gusr4rHm8ZhOOAvyJd0YkWjW1uND45h9oQlQkVNo45ziN8TXMzf5hCvCTXi2LwSvigOQGYV2bhmgIqeQCk0ai8U5EYjuDwAuymyeWhBuwjuHw64iIVhXN3D7vQAA/tgXd33+1oEOnOkNoqhzfPLKRtXb4OvysaVe221YDIvR5JHkouVUweneEDQGrGdKrZtTnHSXUajchEEvQ8hLl+gHAXPhKGSM0XUpQVghR4+ZQ+MxYGYUtvTGh3IU2mQUAkAXZRQSTcahPGs/+9nP4pOf/CQSiQQmJibwgz/4gzh1ynkR1C6wRi8zWZ43c+6U+9GCss5NobBXjqn2DQKrS+Bry2BnqjskVHZRW1+QqbHjSBcQComMwqX5qouxeKWjMGHnKBRCIRtyFgr//oU1LKWK6Ovw4sfvH8adFu2ZzQDr6QcHbEeP+zp88DCgqHOsZ0qtvdtZAZ++Kt4YOw7mD9geu24sWjWE/bRotYONHwd/4UmjPKga5/pD+Ny1hKVQyIsFYFG6vFw4Ci/tyCcEYI7VpZPgmRSYavjcwXhXAM8vZSinsMHgV18Sb5w855j9BABPL4qFyd0j9iPAlbBXvBr8mcfBr7yw+3OM4T239OK3Hp7HZ17ewLff0oMOn2f7QdJRyGzyCRULCAEoYDi9DCwvAsNju44JejUc7w7gejyPK2tZ9Id94IU8+KNfECUg+SyQywL5HHg+Z7xt/F/Ig73qzdC+81+5/h0cJlzXTaHQYfTYyCcM+WqKCyFqoGIzhXNu+Xse6/TjejxHrmuC2InhKIw5HqqEwr5WFgrDzmUmABBVQiFlFBJNwoGv/B577DH81V/9Fb7jO74DH/jABzAxMYH3v//92NzcdP7idqHbFAptiymOCFVkgpFjjheu81sF5MscQS8zxD+mWhHXnR2F69kSssXq47Ytj7GQ6AQGRwEAfLl6oYmb0WOul81ClCqLs52obMn/976hphYJAQC9qvnY2qXr0RgGVU5hO40WTV8BALDjZxwPNceOvbRodYC5cBSel47Ca/EcCuUq57npl4FyGYh2ucqPvCgFxwsVrl8WDJm5QXaFJvKcO0dh/Y2FFArZKed8wo1sCdfj4u93dw3nbHbynHhjbloUk+zgvrEIRjv9SBd1fE46zLehpgPsGo8liynxWjWSWbMt+zmryn7k+DH/v/8L/EN/Av6pvwP/50+Af/Xz4E88DDz3BHDlBWDmKrA0J7Kd00nwr3ymIa+fAAiXiYoRiXbaHkpFJodAT79oay3kAZUdWYUxchQSRHWMjEI3jkJxHdnbwlMpzGVGYRdlFBJNxoELhZ/61Kfwpje9CW94wxswNjaGH/7hH4bf78eXv/zlg/7WzYNyFJaKQCp5tPelGgvSlVZDkcmJ7qA5BuVizCMa8BjZDe2WGafgKSkURjrBhoRQCItCk0qhcCFZqC46rK2Ix5TXZ9tMCQDZoo4FeTF8orvxC0scUaPH6/bjl0MRGVjeRoUmXOYT4vhpx2PV74XGjl0wLse452fAS9XzZ4YiPnQFPChVOK8r4S8+DQBg5+90FGbXMkWspIvQGHCmb8dzVjlmbIRCc/S4Pc+3jQjnHPxlKRS6KDJ5ZlGMHZ/sCSJWS/FFT7/IliqXAVWeU4HGGN4jG5A/cXkDxR2vLzwuhELmQihUBWXD2TVgdtryuMpWcH7tIvhDnxHf49VvAXvbe8De9T1g3/1DYO/9MbAf/mloP/afoP30b0D7hQ8CmiachTY5yIcNL5XAZ65C/+Inof/VfxMf7IiAee3PpSrPi4pMDg7m85nX3TbNx6PUfEwQVeGqxd0ho7Csc2O90tKOQpdCYadsPSahkGgWDvRZWyqVMDU1hW/7tm8zPqZpGm677Ta8/PLLu44vFosoFs0FO2MMoVDIeLvVUD+T5vejHO0Ckptgm3EwhwybQ2dBOArZ6ITj30Etfk/3hoxjWd8gOERwtN3Xj3b6sbWaxXyygJMuQtlbDZbcAocIO2eDo2J0dmm+6u9sI2u+yOgcmNvc/TvjS6LIBMNj0Dz2T/Ubm3lwiMVJdwOLQsZjyuFxqPUPoQwAayu2xw5F/cBiGoupYkueY3bCSyXghhAGtBNnHX/ml2QG3qneYFv8fvZF/5CIZ8hmwJbmwMaP7zqEMYbzAyE8PpvClbUcLgxsd4EZQuFt9zj+vi9JN+GJ7iDC/u3Pb9Y/BH79MrC6ZPmcGe8S4uJyqohCmSNAeWhHz9qyyKX1eMBOnnN8DDy1IBYl94yEa3p+MsbAT5wFf+ZxYOrlqqUprz/ehQ89v4b1TAkPzSTx1lMx85Nq9Lh30Pb7Fsu6kTmohEKr488NCFfs9EYO2b/+YwQgRELPD/yE48+j9w+JTbXlebAeZyeuE25fZyrhWwnw65eNf7hxVeQMV97u8TOOt6le23s7yMV9oPQNCjfq+grYqfNVDxmT5VNq9Jj+Htbs5TlDNDFSKGRd3bZ/80SuBJ0DHgZ0t3KcQkRGvGRStj9jZ4WjkJ4zRDNwoELh1tYWdF1HLBbb9vFYLIaFhd1OqY997GP4yEc+Yrx//PhxfOADH0B/v3NgdjMzNDSEpYEhFJOb6IaO0PDwUd+lbSyuLKAEoPe2uxB0uG83kmLU9Z6TQxgeFq6W/NkLWAHgSaxj2ObrTw8lcGk1iy09YHtcq5KAjiSA8OAwOm65AysAtLXlqr+LraJwZnT4PMgUy9hAaNdxW49tYhNAx/HT6HX4fX5VtiOfH+5qit/90NCQ7efL4RAWAGAzjsGebmiB6i7Js6MlfPrlDWyWPE3xc++XwvXLWC4WwMIRDN/5CjDNWhzinOPimhAVX39hHMPDPYd1N5uWlZPnkH/xaXRtxREefrDqMa88UcDjsylMJ/m2x1w5voYFOZo59Ma3wxOz/33PvCgyTV9xvG/XY3fzxGlsPf4QQukt9Mjnys7nzBDn6ApOYzNXQiHQicmB6lmGxOGRvvgU4gD8py9gcHK30FxJSdfx3JLIG33b7ZMYHq5tg3Hrjldg85nHEVi4gT6Lc9/3vrKMP3joGj5zbQvf/xohpvBiEXOyZGvwwq3w2OQWT6+noXMg5GHoLiTB5m9YnmeHOEdveBbr6QKm0sAtsR4M/djPw+PQEgwAqxMnkVteQFcuhcjwMDjnKOkcuWIZuZKObLEs3i7qGO4Koj9in81q3Cen15nNDWz+xR8h/+LTKMvX0Eq0SCf8526F//ztCJy7HYFb7gTz+W1vM83F73ZysLctXpOOivVjk8hcfQnRfAadFr/n7r4yGKaRLugIdvWhJ2z/tyOcnzNEazCf3IQOYODUGfhszlOr82JSqj8awNjoyCHdu8On5PNgEQAyGQwNDVmKf1taEsAsUkVuPFfoOUM0Mg3lA373u9+Nd77zncb76om2urqKksUoVzPDGBMi4dISSmGRWxOfugpt3DnE/rDghbxxARwPRsAWFy2PLescV5bF6HSflsOiPJYz8TArry5jYXbWMqC92yv+xpcX1rG42ALjrzVSXhQia8bjRdYrFjLllQUs3LyxbXHBOcdqUozC3DoYwhNzKTw3vYxX7FivlS+LEbZcd5/xt7Di2RkxfjPaAcdjj5LK54xdHhXnHAiGgFwWSy8+DzZSvcwlzIUra2pls6F/7nqhP/GYeGPiFJaW7cey57fyWE0V4NUY+rVsW/x+9kt5aAx48WlsvPA0tm65p+oxIwFxnnt2No6FhQXjdU5/VDbQTp7CSjYPZO1/39+YEfmbk2G+62+jh8QYTObGFApLS5bPmZGoD5u5Ep65Po9oucGc7G1I+YlHAQDFyTOOz7eLKxkk8yVE/R70II3FxUxN34v3i0Vb9uJzlt/rvn4NGgOur6Xx4vWb6O3wga8uAZwDPj+Ws3mwnPX9fG5WXA8MR31gTIOeWMfC5YuiebkKpzvKWE8DVzoncMs3vRIrqQyQsv+5Uvky/ij8AKbuexCFlyLIv/wQciUdusXLQ8ir4c/efcoIla+G29cZ/TMfgf7P/2h+YGQc7OR54QY9cQ4YGkVJ01ACkAGANefCuoW4+J35Shk65x4gelic77amryFt83seiPiwnCriqauzuHWww/K4dsftc4ZofnixCD0lNipX8yXbdeGVWXFcd0Br6fMZz8soGb2MxekpsFD1c0VBOuwTmQIWFxcxPDxMzxni0PF6va5NeAcqFHZ2dkLTNCQSiW0fTyQSu1yGAODz+eDzVR97bOUnEefcKDThG2sN9bPyhVmxKIhEwaNd4m0LbiZyKJQ5Ql4Nw1Gf8XPwaJfIySsVweOrZn7WDiqbjxvpd3BYcFlmwiOdoswgFAayafDlBWB0wjgulS+jKFdBdw2H8cRcCtOJ3K7fmWo8xtCY4+9zakO8yB3vDjTF755z7nw/+4ZEWP9q9aZNQGTGAcBisghd11t+BIBPiSITTJ5x/P09vyTyz871BeH3sKZ4XBw5ctyY37xu+fs62ROAV2NI5MpYTBYwLM97/MWnAADslrsdf9dLyQJuJPLQGHChP7T7eJkLy1fNC9Bqz5mxTj8urWYxu5mnv28DwK9eBCCKTJz+Hk/Ni7HjO4c7oLHar5H4xCmAacDGGvT11aoju2G/hpM9QVxdz+G5xTTecKJLCIWAURhl931VtttIVwAYGgUWZ8FvXAdu2y2ic13HmWuP4/Gue3Fl7A7gFa92/Jk45/iDry3g67wPUMkbO8rQNAYEPBoCXoZUoYxsSce19ayrwi6n1xkV78Fe93awd78XLLy7edrt32UrV8J0Im9kNPcEPfScPEC4zNesPEdWYzTqx3KqiPmtPG4ZaL9InFpxdW1GNDVcFZl4vOAdYdt14VpaFZl4W/pxwX1+wOsFSiXwdFIYFaoQDYgpnjIHUgURM0HPGaKROVCh0Ov14sSJE3jxxRfxyle+EgCg6zpefPFFvP3tbz/Ib918xMzm40aCL9wUb7hoPFZFJid7AtAqjmWaJso0luZFBpOFUDjauV0oPErRhl95EQgGwSZOHd43lUIhi3aJn31oVLSgLs9vEwrjOeFICvs1nO4VzsuZjfy23xnnXDRCAsBwdTedoqRz3EiIxcnJnhZycvYPSqFwGVaPpKGIDxoDsiUdG7lyywfIqyITdsK58fiFZeHkuW2oyRuwDxF27ITIFp2dBtf1qqPdfo8QX66sZXF5NYvhqB9cL4O/9Iy4jVvvdvw+j94UrqNbBzvQFazymO2Xo0DxNfCSdVHPuMzgokKTo4dvbYhzPWOARWZaJU8vCqHw7pHd4pQbWCAIjE2IgpHplwGLbL/bBjtwdT2H55elUBgX+YSuGo9lGdJI1A82fhx8cRZ8dgqsmlD46Bdw9voTwN334krU/jVL8Y+XN/D1uRS8jOMnX/grDAYZOv7DryDgZVIc1ODVzOmUD3x1Ho/dTGImkXMlFDrBV6RD5sytVUXCauicYyVVxNRGDtMbeUxv5DC1kcd6ZvvUzECkcbOCWwGVnW1XsgcAo11+PL2YxtwmFZoQBABgSwqFXTFXpWsA0NfA2ef1gDEGhKOiDTqdtHx99Hs0BL0aciUdWzkqNCEanwNfFb/zne/Ef//v/x0nTpzAqVOn8OlPfxr5fB6vf/3rD/pbNxfd4iKdN5hQiPkZAC4bj9eFUHiqWhFJrxAK+fqKjWjjh8aAXElHPFtC7xG9sPD1Fei//5+AUBja7/314QmWSWHRR0SMxLDBEfDpl8GX5rf9zlSDWHfQi2NdAWhMBOMmcmV0K6FrMw5kM6INcsA+F2R2M4+SzhH2axgIt86LuZuFgM+jYTDiw2KyiLnNfEsLhTyTNsXj4/ZCIefcFApp3Mo9Q+NiVzmbAdZXLDdFzveHhFC4lsUbTnQB01dFW15HGDh+1vHbPHpTnCteM9FZ/YDOGOAPAIW8KJ4Yr37+HpfNx7QIbgCkmxCjE46i00a2hOtx8Te7ex+CFztxFnx2GnzqCtg91TM17xgK46MX43huKSM2oNbcNx7PS3fcSNQv3LZPPFy1+ZhvboB/5C9wMpeHFxyJArCSLmIwYp0Jd2Uti798RtyXH7wQxf1ffglgGrQQE622VZiMBYRQuFGnx7t0V7J++yxBnXN8+MV1PLeYxkwij8wO16NiOOrD8e4g7h2NHNn1T9sgXdeIr4KXy2Ce6qPooxWTLgRBQIhhANBp33gMAGuZNmg8VnREpFBo33zcFfQgl9KxlW+9SDWi9TjwZ+6DDz6Ira0tfPjDH0YikcDk5CR+4Rd+oerocTvDunuEqLGxdtR3ZRv88gvijUlnB9J1w1G425XmTrRhhmgzv1U4OqHwpaeBchlIbQGZNODSKbBvUsJRiKhc/A+Oiv+Xtxf/KKGwJ+RFwKthOOrH/FYBM4m8KRQuyLHj/mHLRZNC/d2Od7dYs60Uafjaku1hY50B4zF3eyu7525cEyMivQNgnTHbQ2c3C9jMleH3MJzpbSGX6QHDvF5gZAK4eR24OWUpFJ7rE5spl2VzsdF2fP5OywWrYjFZwPW4GDu+f6z6uYkxJr73/A0xem/BWKdwFC4kCyjrHB6thZ7/TYYxdnz6guOxzyyKWICTPUHE9rO5ceIs8JXPmpEEVTjfH4JXY1jPlLCYLGJoXYhzrhyFUlwZ6fSDjQu3La8mFP7d/wQyafgnTuFEbwgvr+dwaTVrKRRu5cv47a/Oo8yBVx2L4ptuHwaXmbRYXQQsNjYnY+LxPpPYv1DI83kgERfvDNgLhVfWsvjb581rO5/GcCwWwPHuAE50B3GiO4CJ7gA6fPbPfaKOxHqMUUFsrJnC4Q7G1GYKCYUEAUC63wHAImu2kvU2cRQCEBu9gFg32tAZ8GA5VcRWnhyFRONzKBL/29/+dho1dkI6Co0LzwaAbyWEuADncbiSzjEtd+lPVRtf7ZUXYQ5jHiNR/5GLNmoEEACwlTgUoZCXSuaLi2p5lEIhX57fdmxcOQrlAnEyFsD8VgE3EjncJd0lXDUwWmTzVTIl/24nut01QTYLrG9IiNOrTkKhH9+Yb/2FgBIDmIObEDDHjs/3h+DzWDcjE7thx06IjMKbU5YurbP9Qii8kcgjXSgj+JIQCqtlt+3kkRvCTXj7UBid1caOFVIotHv894W9CHgY8mWOpVTRiH8gDh/+8ovijdO3Oh771IJwLNwzsr/XSHbirDhH3rgGXipVLRoLeDWc6wvixZUsnltKY9Dl6HGupGNdvlaNRP2AX7Y4ryyA57JgMsOJP/cN8CcfATQN2nv/X5xdFULhlbUsXn98d8GOzjn+4LEFrGVKGIn68GP3D0HTNJQHR8X1yvKCtVDYbY7al3QO736EcbUB1RFxdIDekMLkmd4gfuz+YYx2+vf3vYl9wzQN6BkAVhbEdamFUDgqN1NW0kUUyzq9HhLEZgIAHDecAWAtLV4DetvFUQiAZ1KWk3OAEAoBYJNGj4kmgF7xGgVZZoJsGjyXPdr7IjEEs2MnLFsKFTcTeRR1jrBPw1C0ys6RCtdXbgQL1EJ1IXk0og0vl4FLz5sf2ErYHv9Xz6zgpz87g0xxnyd82SAGxgxhkg0pR+F2oXCjilAIYPs41ZJwFDIXQuG0dBSe6G4x55i68F9bsQ0KbhfHAJ+5Kt5wJRQK0ZrGjvfAsRMAAD47ZXlIT8iLwYgPHMCV2XVA/m3YLXc53rzKJ3z1sajtcaxPOmpXrIVCjTHj8T9L48dHBs+kgbkZAM6OwrLODUfhPXvMJzQYGBGLm2LBiBmphtq0e345Y2z2sV77xjxVyhH1a4gGPGJRGesRrmb5s/JcFvqH/oe4vbe8C+zYScNte2Wt+nXQxy/G8eRCGj6N4WdePWq48JjaWFuar/p1ANAf9iHk1VDSORb2e75X+YQObkLAzAC9MNCBiViARMJGod8sfbKiO+hBh0+Dzs3MTYJoa1w6Css6x4bMVO9roVgjK4wNo4z96LESCslRSDQDbSDxNwcs2CFaknJZILEODDkLPAeOauG81dnlUjl2rFUZX3UdHN15xHkwM1eBrGkb51sJy52hZL6Mj1+Ko8zFCOFeQ+UBmGPH4SiYJsePVLZgKgme2gKLiJHkytFjAJjo3j1OZToK7bMldc5NR2ErFZkAokAHAPJZIcRGd7tTgIrHXAsLJZxzUVgA5yITnXO8KB2FLT2KfUCoEUvctBYKAeB8XwjLqSIuX7mJOzgHxibBVKmVBXNbeUxv5OFhwP3j9kIhBuTYs83oMQCMdwZwPZ7H3GYBcNchQdSb65eEgDYwDBbrsT305bUs0gUd0Yoyq73CNA04cQZ48WmRU2hR3nX7UAc+9DzwwlIaeiIudph7qzuwFGqzT7V6AwDGTwCJOPjsNNip8+Af/xsgLsY+2bf8CwDAOem2nd7II1fSEfSa+9kXVzL46+eEo/GHXzG4/TXL2Fibs7xPGmOYiAVweS2LmUQex2J7d9GrkX5mES9QyU352qIyQYnGwLwutd7AZoxhtNOPq+s5zG3t7zFDEI0Mv/isEYFhwHa/w19+SbzrkFEYz5agc8DDgFiwDWIVpKPQKaPQEApzlFFIND4kFDYS3X3A4qxoPj5ioXB7C6ezUHjbYAd+5N5B4wS4CyXaJOLgxaJlbt5RC4VcjQAqbByFT8wlUZZGtZ2NhTWjikwqxCwWCIgmyviaaIw+tV0o3Oko3DZOtejOUbiULCJX0uH3MIy12Ngh8/lFm3hiXYxfWgqF4ve3mintWpi2DPE1EbKsacCxk7aHzmzkkSyI30NLtWAfFmOTwhm8GQff2gCzuJg+1x/CQzNbuLwmNlncnGcfuyHchHcOhxG1OtdKWL8Yveer9pszhqNwq3WF8kaHXxULLzf5hE8tiI2sO4fDdcmUZMfPiozMqSvAG95R9ZjTvSEEvRqSBR03Qv04nl11dJMsVOQTGt9r/Dj4C08Cs1OiqOtLnwIAaN/zb0ULM0SWVW+HF+uZEq6uZ3HboNis2MyV8DuPLEDnwGsnO/HWUzvO50MqqmN7pu9OJruFUDi9kcNrJy3KgNywB0ehahknGoQ+d5E4SiikQhOiVeH5HPT/9uvCXe4S1mPvKleNx70d3qoGkpYj7FIolJEx5CgkmgESChuJWA+wOAu+sWabb3AoTF8VFe8dYRF47sBQ1I9vitoITZFOIBAE8jnRBqp2/3cwIm/jqPJg+MVnxRuhsHAWJhOWxz4mRwABGFlMe/6+yR1FJorBUSC+Br68AHbqPAAgnhUvLt0hIRQMyHGqbEnHwlYB476CKXA6CM5TG0KkmIgFWrPIoG8QSKyDry2DWTyOOwMedAU82MyXsbBVaD1nJQBMy7KCsUkwv/1iVeUT3jIQohG5PcCCIWBwRIj7N6cACwFQOadeRhRlMPgccmAB4BEpFL7KYewYACBHj7G25DB6Lx4Pc5u0CD4qDBeHi3zCpxfFImRfDvYKVE6hXaGJV2O4ZSCEpxbSeD52GsdDXLgRbViQY5oj0R1CIUQMAp++CnAOdt/rdmUgn+sL4dGbSVxZzeG2wTB0zvH7jy0ini1hrNOPH33l0K7iLTY4ItxhNqPHgLmxdmOfhSbGuKpD43EqXzY298hR2FgoRyFfd9hM6WyPeBKijZmbESJhKAx23+sqPlFx7VB5HdHVAzhEpawbjcetP3YMwHQUuhw93iShkGgCSChsIFh3n2w+Xj/qu1JTC6cbGGMi/Hzhpq1Q2BPyIujVkCvpWEoVD3UHnqdTwJQcz3zFq8C/+nlLR2G6UMazS+aIcrxejsLIdpcEGxwFv/TctnGqnY5CxhgmuwO4tCrGqcZL8tiePiMw3oqpVs0nlLD+QfBrFx0LTUY7/dhczWJ2M9+SQiGflhl4NRSZ3Er5hHuGjZ8AX5oXhSYWQuGxrgBCHiCLAG52T+DkyXO2t3lzM48bm3l4NeC+MTdC4QDANCCfg27zmjJuLILz0Dlvj53/BoIX8mJjDs6Owo1sCdfjQuC6e7hOsQDqnLCyCJ7cAtu5WSW5YyiMpxbSeKH7JN5VTDjerOEorNxAlPmdUM3H4SjYd//rXV97rl8IhZfXMgB68ZGX1vHMYhp+D8PPvmYUIV8VkVJmFCK1BZ5OgoWrP0eqZvruBekoZA6OQpX92dfhpVbjRqMGRyFwhJE4BHHAGG30J89B+54fsT324ZktfPJyHPo/m+uSapcNqqyjLYpMgG1lJnaYGYU0ekw0Pi04Y9fEqEKTRCMIhSKf0E0Lp2tUoYnNRZnKgwGO4KLs8vMA14HhcUBmNXELofAb8ymUdPP99cw+Q65lRuGuRdqOcapcSUdWfmOVUQhULn5yZj7hkHPgmMonPN5ijccGhqvK3fhlqzoGuHIUHrd3B5d1josrQiikIpN9oAQRm5xCj8ZwhgmH4JXTD4B57XfdjbHjoTAiDmPHAMTt9fQBAEo2LquhqB8eBuRKfP8RCkTtTF8FyiXh0HDIu1MlJid7goiF6rP4YuGI6TyftnYVqvPBxa4TKDvkEwJmmUnl6DH6hoCAuXnFvusHwapEQpyVhSaX13J4YTmNv31+DQDwvnsHMWGREccCQRHfAti6ClWm73q2tOfRL14qAuuy/dnhbza7RWPHDYv6221ugOetheMxGU8yv1WwdWcTRNMihUI2ftzx0A89v4qX13O4Fjf/XV3f/W8lLdZFrWpE2AlzOXrcZWQUkqOQaHzaROZvEmSQPT9iRyFPbgI3rgFw18LpFtY74LrQ5Hr88PNgVD4hu3AnWGdM3FcLoVCNHZ/qCeJaPLfv0WMYo8c7HYXbx6mUmzDgYQhVZOmpxdNMIg+synzCEXuhkHNujB63oosOgCtxGti+EGg1eLkM3LgOwLnIZGojh3RRR9intc3F3UGgCk3smo8B4Gz8Gp7rvAtX+k6jejqcySM3hev4VRM15Kr1DQLrKygtzQHdA1UP8WoMI51+zG4WMLuZR38btBM2EvzqiwAAduaWXeO0O3lqQSxA7hmpb8kQO3EWfGlOFJrcfm/VYya7A+jkBWx5A7jaMYlbbG4vVSgbY1XDUfPxxDQNGJ8Erl0Czt0O9sAbq379ie4gfBpDMl/Gb35lHjoH3niiE28+GbP/QQZHgI018OV5MAuHbofPg8GID8upIm4kckYGYk2sr4pNRX/AMauRikwamI4IEOoAshlgfRkYqV7+Nhz1QWNApqgjkSsb0xwE0SoY1yrjJ2yPS+RKRvv3z792FL4q8TSVWnrAy3BhoE02nV2OHkeD1HpMNA/kKGwgmNoNP2qh8KWnxZl+7LhjC2dNqDGPdeuGOeBoxjw450Y+IbvlbqAzJj5RRSjMFMt4WgbKf8s5sUjYrxOHW4weG+NUK4vgehnxirHjykXlZIVQyGWRCRyKTOLZEjZzZWjM/PpWw2ikdDF6DLSoo3D+BlDIiwXRYPWRf8ULSzKfcLCjNTMrDwvlKFxZBM9lqh7C0ymcmxGbE5e5vfh3M5HH7GYBXo3hvjH32XRqLLK0OGd7nBLKW/Lx3+CY+YT2Y8dlnRuOwnvqlE9oIPNb7XIKNcZwa16M277gt3cUKjdhd9Cza9xWe8d3A3c/AO0HfsJSGPV5GE7JRud0Ucd4lx/vu9e5XZgZzccOhSb7HT9WTeL9u7MSd0JFJo2LiMSRj2VVTlMFn0fDgNxAmaPSJ6LF4HoZmJ8B4OwovLKWBSByOx8Yj+IVo5Fd/+4dM//dPhRun6xrQyhM2x7WFRAbDZmijmJZtz2WII4aEgobie4e8f9Rjx6/IJ11tzmH69cCk83HTu4ulWl0qO6u5XkhYHq9wJlbTGdfMrFr1OTJ+TSKOsdI1G8Eym/ly/s74acsykx6+wGvD5CjTspR2LNjR/uYXPisZ0pIrogxLeYwejwtF0ljnX4EWrHpFwD65SIgvgZeshZzldtjYauAst5ao0V8RuRuYvK0YwGByiekseP9waJdhkMcszPVD7r8HE5v3gDjHMtZ3XhuV+OrN8RGwt0jYYT9NeScSaHcbvQYMB//Kk+NOBx4uQxcvwwAYKftPHrAy2tZpAs6on4Np3vr6/Y1ip6mXxaLRgtu2xCTBs+X7DMy1Wv3cJWCM3br3fD82/8I1lvd4ao4J8ePAx6Gn3vNqLs2erkRwh0e79sc+HuA19J4LL/HMRIKGxJ2/DQAQP/al2yPo5xComVZXgQKBVE4OWC/IXNlVQiFqoyNqCAs3emZNLhuvR4M+zUo7TSR3WdsFUEcMC2qDjQpylG4lRAZOEcA18vgF6VQaBHCv2dcBkerhrmF5CE6Cl96Vrxx+haRdaQchYWCaGquQI0dP3gsiqhfM6z38f2MH0tH4c68JqZ5zMXI8vyuIhNF2O8xdrxv5uXnhu2FwustXmQCAOjsBnx+MSa2sWZ5WF+HD34PQ1HnWE232Au3KuhxKDIp6RwXV0korBvSVcgtcgr5C08hXM5hgonf+WV5Ab7rOM7x6M0a2o4rkRmdzo5C6ail5uPD5eaUeH3piFiOPSqeki72O4fD9Xf7jhwTi8RcFlisLrJxXcdt888CAK6kGfIl64VQ1XzCGnnb6RhuH+rAz7x61LUbjynH9LJD83H3PpuPVZGJQ+NxulA2YknGaPS4IWFv/lbxxjOPgy9ZnyfVOfLaes7yGIJoRoyx47FJseawQTkK1UYOUYFyFHIdsJgkAYQ7PypzChP7zbcniAOGhMJGItIpHG0AkIgfzX2YuQakkmJM8YR9C2fNKKEwuQmet77YUouLrXwZyUPKcKjMJwQg2oL9cnFSMX6cK+lGTtSrjkXBGDMavfY1fpy0cBQC2wpNlBhZLcheLX5mIkNApNOyvVLR8vmEkJlYyrliM37s0ZjhZG218Us+7U4ovLaeQ67EEQ14LAsDCPcwo+H1+q7Pcc6Nc865PvG7vrxWXSi8kchjfqsAn8bwyhrGjgGADbh1FIr7MNtij/1Gh199Sbxx+oKj2/fpRfG6c3e9x44BMI8HmBTOKj51ufpBWwkMp5bRl0ugxIFLFsI2ACzIDKuRKo5CtwxH/fi1Nx3DvbU85itGj+0cHZMx8Zp3I5Hfk4Ocq9cSB0ehei3pCXkRqcUJTBwabOQYcMcrAc7BP/9xy+PU8+7L01tYOsRNbII4cFwWmZR0jqtSKD9LjsJdMH9AGBMAx0IT1Xy8kaVzCdHYkFDYQDDGzHG1Ixo/NtqOz98J5q1vYDPriAAhac22ySkMejVDfDuMMQ9eLAJXXhD38ZaKcesqOYVPLaRQKHMMRXxGU7AaA96rUMj1MpAWjqFdGYUQhSYAgCXTUdgTrCIUSnHnRngYcCgyAYCpeIs3Hivk+CVfc5dT2EqjRTybAVRmpYNQ+MKycCzdOtABzSF3i3CGjds4CudviM0gvx9nTwixwUp4eUS2Hd89Et6V9+aIdBTqG+u2mzOjnX4wAMl8GZs5aj4+LJRQyBzyCTeyJVyX5+u7h+tbZKIwio7kxsIu1lfAANyWEeeT55asc5gWtvbvKNwTvf1is7VUBOKrlocNRYSDvFDmWErtwdFhOArtx/RuGmPH5CZsZLS3vwcAwL/2JXCLTfo7h8O4c6gDJZ3jr5+zfmwRRLNhFpnYC4UzG3nkyxxhv2Y4bIkduMwpVEIhjR4TjQ4JhY1G99E2H/MX1dhxffMJDWROoZvmYwCYP4zg6OuXRNlDZwwYnTA/XkUorBw7ViHmStTc8+hxOmXWhEWquAAHRSkJ3zZ6vFswMITCyLBjPmEqX8aKHLFt6dFjAMztyHuXchS2UE7bjWvisdXTD+bQzvk85RPWF+UoXJjdFSVhbMicvR3nh8Q48fV4DoUdOadi7FjEEry6lrZjCQtHzAtXG0dtwKthICKiC2Zp/PhQ4LoOXBNFJuyUvVCoSkxO9QSrusnrAXMoNOFyc+82lgAAPL9kUdLDuTl6vA9H4V5gmgdQ48A2LlqPxipyCmsbJeV6GVhz5yicNRqPW3wzrslhpy4Ap84DpRL4Fz9pedwP3D0ABrF5c8XCAU4QTYfhKLRvPFaP+TO9IdpMtqJD5RQ6OQrF6ziNHhONDgmFDYbRMnwEQiFPbgEzV8X9qHc+oUI2zDkVmoweYqEJv/gMAIBduGv7+JfMC+RSKMyXdDw5L07+D1ZkhfV2iAX22l5P+GrsuCNc1cVpNjnOYyMrRrF3ZhQCwIR0Bt4MD6E8ZN94rMaOB8I+RAItPhKlhMJVp2xM2fzaQkKJ27HjYlk3MvJuGyKhsC70DoiLxnIJWLi57VOVGzJDER+6gh6UdI7rO/KvpjfyWEgW4fcw3Du6x5FTOX7MHZq/lUOACk0OieUFEfPh9wMTJ20PVXEXd48cjJsQAHBcFpos3BRO5J2sCxfVHSHxOnc9nkOqSjTIZr6MdFEHg3DuHToVUR12TOy1+XgjDpRKgMcL9PTZHkqNx82D9vZvBwDwr3wG3MINdLw7iDecENeF//vplV1FdwTRbPDNDWGGYBowMmF77GXKJ3QmrByF7kaPEzR6TDQ4JBQ2GqrQ5CiEwovPCPfR2CSYdDbWG8PdZTN6DJiOwsMoNOEvCaEQt9y57eNMOQqlkPfMYhq5Ekd/hxenKnL99p1RKItMqo0dAwDU6HF8DXFpU9/ZegwAwxE//HoJeY8fK732wfiq8fhET+svYNR4mFuhpJUyCrksMsEJe6Hw5bUcCmWOWNCDcRopqQuMMaDK+DHPZYBrl8Qxt94NxhjOy7yfSztcKo/ItuN7RiII+fb2cs0G5Pljbtr2OMopPGTmZ8T/o5NgXmtBjXOO56Sj8J4DyCdUsK5uIW5zbmwYbmNdbLT09HVhrNMPDuDFld2C4qJ8/PR1eBFw01RcZ8yNNfsCH8OBX2uhyapsPO4bdAz+Nx2FdE5teG57hSiAy2bAH/6s5WHfc0cf/B6Gi6tZfH3OXgwgiIZHjR0PjYIF7NcDRpEJ5RNaIyc4uENGYVeQRo+J5oCEwkZDCXQ2Da0HhhyHOzA3IWCMHjs6Cg8pL45vJUTzJMwiE4Mdo8dfk2PHD1SMHQNAb2ifo8cpmyITACzSCUSiKDIPkgUxmljNUajpJYynhRg2E7R3Oky1Q+Oxol+J0/aPucoSna0WyGnjnBt5Y2zSKZ/QHDtmNFJSN4xRnsqcwsvPC5fhwLAh4qkd+srm48q241dP1Nh2XHkfztwKANAvPWd7nMoqvVhF/CHqD5cuU+bQdrySLiJZ0OHVGE4ecPGU3fgxl45C9PQb8QTPV8kpnK9D4/G+kM3H3KHAxyj/qlEo5DKfEA75hJliGaty85AchY0P0zSwt8mswi98UmRXV6Gvw4d3nesBAPzlMyso7aEMhyAaBe6yyGQjW8JyqggG4ExfG6wb9ghTUS9uy0xo9JhocEgobDCUk48fcpkJ13XDWXeQQqGZF+fOUbiYLO6pldAtXC2ex4+Dde7IcJNCId9KoFjW8USVsWMA6Nmno5AbjccWjkIAGBxFwi++r4cB0WrjwiuLmEyJcasbRfuFidF43A5CoXrMpZKWI0WAKNHpP8QSnQNnYx3YjAOaBkycsj1UFZncNniAo43tiMwpNMLCUTF2XFGcpHboL69ljXG26/E8llJFBDwMr9jr2DEAdv4O8cb1K+A561ytu0ci0JhwGy+nWuDx3+gsyJIhh+Kpa3JTZzIWgM9zwCK+XU6hnAJgvQO4Y0icJ56rklO4WIfG4/3ABs3mYzsmZPPxcqqITHH3CLUl0pnOnBqP5dhxd9BT/fWaaDjYfa8VUz2bcfDHv2x53Htu6UFXwIOFZBGfu5o4vDtIEPVGCoVORSZq7PhYV6D2UrV2wuXocZTKTIgmgYTCRuOoMgpvXBcjtqEO4OS5g/s+Losl+jp88GkMRZ1jNX2AJ9KX5KL9wl27PsUqHIXPLWWQKeroCXlxdkc+R29IjI3Fs6W9ZdbI0WNmIxSywVFsSKEwFvJWDxJenMNESrgd7FwS+ZJujNe2xehxsMMsiXFyskrnR0uMH6v20tEJ25GSfEnH5TUhRlCRSX1hqtBkdkZsxnBetTDqZE8QXo1hM1c2WlhVickrRiMI7meEc2AYnoFh4WK8etHysM6AB7cMiL//47M0UnfQuHUUqtzKg3YTAqajEFNXtr2Wcc7NuJC+Adw62AEGcZ7c6aRXmyzDRyQUKkch4qvgeevXwc6Ax5gGqGX82K2jkIpMmg/m9YG9+VsBAPxzHxOFQ1Xo8HnwL24XUxt/98Ia0oUahGaCaCDUJqZjkYmcdjjb3wbmgv3Q4U4o7AqK155NEgqJBoeEwkZDjR5vxi0vUg4Co4Xz/B1VCzXqhhIKMylRnmKBR2PG6NLNAwrX55yDX3wWAMBu2S0UVo4eP1oxdrxTpFNjwCWdY6tKuLsjylFYrfFYMTSKjYD4fLV8QgDgi7OYkKPHdgufG4k8dC4yMqxuq+VQizoHoXC8hXIK+bRwBTFVUmDB5bUsSjpHb8iL4egRlA+0MkNjgM8P5LPCibQ0LwQXrw84e5txmN+jGbmnl1aFq/CRG/sfOwZEVmLwrvsAAPzSs7bHPjAuvtfjs8l9fU/CHl4qASvS8TbsIBTKPNnDEAoxfgLweoHU1vaW7NQWUJCvKd39iAY8xibTzvFj1Xg8ekSjxyzaCYTlc2bF3lVojB/XUmgiMwqdHIU3VZFJjITCZoK99q2ihGp5Hnj265bHveVUDKOdfmzly/joxfgh3kOCqA88nzOd1+OTtseqfMKdRgliB+FaR4+bf61BtDZtohI0EZ3don2qXBYCUle389fUAX4Y+YQAWCAI9PQD8VURNh69YHns8VgANxJ5zGzk8cqx/S2WqzI/A2xuAP4AcKrK/YjGAADFVBJfnxML51eN774fPg9DV9CDzVwZ65mSsVPkmpQUTG0dhSPY8AuHWLV8QgDCUZgWi5glOU5VbUSgcuy4XfLoWN8g+PTL4GtLsPuJzWzM5m9+VY3HOH7a9rgXliif8KBgHg8wOgHMXBWFJpvSKX7mFnEurOBcfwiX17K4vJrFWKcfK+kigl5WlwKL4J2vRPpzHzejFiy4bzyCP31yGZdWs0hkS4i1y0bCYbOyIF7jAyHb5lzOOa6rPNlDcH8znw84dlI4CqeumGKYchPGesQxAG4fDON6PI/nlzJ4/XHx2qVzbgiFR+YoBETz8fXLQuyxGambiAXw1ELataOQcw6sSAG1314oNByFVA7VVLBgB9jr3wH+6Q9D/+w/QLvr/qqvi16N4fvv7MdvPDyPf7wcx9tPx9Afpo02oomYmxHlVV09u6OXKiiWuRGBQUUmDqgyE9etx8WWbU8v6xwlnaNY5ihW/F+q9q/MUeLm22UO43Nl43+gxMX7Zd08RrwtPl/mHLr8X31Ml19T4oAuv07nXP4T91OXHytXHHOyJ4hfev3YUf8ajxxaBTQYzOsFumJAIg4k1g9FKOSpLbP0oCI368AYGhNjQYtzYNUEOsnxngAemgGmatntrwH+0rPijbO3GYufbUhH4YuBYaQLOmJBj+WLZF+H1xAKT/TUeD+S9mUmAIDBMSOjsDtYPR+EL95EZzGDHq+OeEnDzUSh6v2disvG4+42cjooJ+uqvaNwrKs1HIW8XAZmrgFwdhQaRSZDNHZ8ELBjJ8BnrgKz18FvyDGfKufZc/0h4JJweKqG43tHI3Vpjg3cca94Y24GfGvDclHQ1+HD6d4grq7n8PW5FN52Orbv701UYdHMJ7QT59cyJSTzZXg1s6X3oGEnzoqMwqkrwP2vFx9URSa9A8Zxtw914GOX4nh+KQ3OORhjiGdLyJc5NAYMRo5ONGEDI+DXL4MvzdtuDKnfqetCk+SmcAczZr6mWDArHYXHaPS46WBvegf45z8mrotffgk4e2vV4145FsEtAyG8tJLF/3luFf/+wZFDvqcEsXe4y3zCmUQOhTJH1K9h9Cg3gJoA1hEBBwCbPHTAFApLOkemqKPDd7ADnpxzFMoc2ZKOfElHrsSRk28Xyhz5so58iaOw4/98WXy+UOYoyreLZY6Cbr6/7XNSECxJ8a2Z6WuBUst6QEJhIxLrFULhxppjCUE94C89I3aVRifAbNwN9YINj4FffAZYmrM97rgs2piWDrh6w418wjurH9ARBrxefK1fjAg+MB6FR6u+7OgJ+XAdeazvJW9COgpZxKbMZGAIG34hJHZru09eXNeFewLAZJcP8fUyZhK56kKhchQexihboyBHj53atsc6xaJuOVVEsazD52nSdIbFm2JUMBgChkctD8sWdVxdFyMllE94QMjsH37tEjB9FQDAbtvt3D4vR3puJvJG6/arJmw2D2rA09Ut7sfsFPil58Hue53lsfePRXF1PYfHZ5MkFB4QfF7lE7orMjnWFTi8c1GVQhMuG+NZhVB4YaADXg1YzZSwlCpiOOrHgtxgGYz44LV4rTwUhlShiVPzsXgNnNnIG2KnLSqfsLuv+uaiJFfSsSKzlce7aGHdbLDObrBXvQn8K5+F/rmPwmMhFDLG8K/uHsBPf/YGHprewree62mv6yqiuXHZeHxZ5hOe6QvR1IkTYVkI6OAoDHg1BL0MuZKIrKomFOpciIjpQhnpgo5sUUemqCNb0pEplsXbxZ0f15Er6siXxcfzJR3ZEke+pOOodTufxuDzMHg1Bp/G4NHMt70ewMPE+16P+XnxMRjHehiDR73P1G0AGlPHw/g6zXhb/K+pr5WfU18j3lYfN78uVIdN+laAhMJGpLtXjKptrNvuhtcNI1z/YMeODYaElZcvOgiFcrffbox2r/B83gj2r5pPCHERWI524+v94iLxgWPW48+9+2k+TroYPfb5sRERIm53vkp+2PoKUCgAXi8m+jvx9PpG1dylss6NMau2aDyWsL5B8SK5tmR7XCzoQdinIV3UsZAsYqJJ86X4lBw7njwNplk/by6tZlDmwEDYh8EILWgPAjZ+XDz2VJFIT79xDqwkFvJiKOLDUqqIjVwZQa+Ge0bq10LNLtwhgssvPQfYCYXjEfz1c6t4fjmNdKGMsJ8aDuuOchQ65ROuH/6mDjtxVjxe56bBC3kwf6DCUdhvHBf0ajjTG8LF1SyeX8oIoVCOHR9V47GCDY2CA+AOzcejnX54NSArhT2ncyBXuY0O+YRq7Lgr6EFnrVEkREPA3vpu8Ic/D7zwJPjcDNjYZNXjTveG8NqJTjx8Ywt/8cwKfvWN9i5hgmgUVJEJHIpMVOPxOcondEaVmaSdc547A17kSkX8+ZPL0DQgXdCRkqJgulhGpnAw4l7AwxD0agh4GfweDQGvhoCHwS//D3g1+OX/AQ+D3yOOU//75Md86uNSADT+KQHQoxlvezXQebFJoSuYBoTFesXJ4RCaj7mum866Ww9h7BjSUQg4Ogo7g170dnixninhxkYe5wfq6Hi6+iJQKop8qCqLdsVLA+eR9IUR9ei41eb7q/bEnQ2QTnDOKzIK7d1DGyExLtidrvK4UL/LwVFMykVltdylua0CCmWOkFfDUDsVV1S0bXNdB9Oq7xQxxjDa6cfL6znMbeWbVijEjHSuOeUTLpv5hMQBMXZc5M5yUU7Fbr3H8oLpXH/IaD2+bywCfx1dZOz8naLJ89Kztu6psa4Axjr9mNsq4KmFNF47WR9XI2HitvFYub9PHaZLqadfRJ5sbgA3rwOnLoCrjMKegW2H3jEUFkLhchpvOx3DYlI8do9aKDSaj5fmbR/rXo1hvCuA6Q2Rhey4WSIdhcyx8VgWmdDYcdPCBobB7nkQ/MlHwD/3UbAf+knLY7/3zj48NpvE80sZPL2Qxj2j+8+VJYiDhOtlkdMOZ0eh2XhMQqEjqkgrm7FdawAismolXcQT8/buQ7+HocOnocPnkf9rCMl/HT4NIa/4nPpYyKsh6NMQ9DDxv1czhMGAR7OcjCOIapBQ2Ih0y/HfQxAKcfO6yN0JhIBT5w/++wGmMLe2Al4sgPmsL85PdAewnilhqs5CoconZBfust3l+FrsHADgvmDG9uTas1dHYTYNlOXX2DgKAWDDJ9xF3YnFXZ/j0qHChsa25S7tXCRNyVG2492BXe3NLU1PP6BpQKkkFsCqXbwKY11CKJzfbN6cQjU26DqfkITCA4MFAmIUUj1HbTZkzvWF8NC02Dh41T7bjnfdj9MXRKNtfE0IHoPWeVr3j0fxkZfW8fhskoTCOsNLJbNp0mb0mHMzQP5QHYWMAcfPAs8+LgpNTl0wykxY33ah8LahDvztC6IQSecc83L0eOSoCzwGhkWOYDYNJBOiJM6CyZgUChN53FelrGwbsvHYraOQikyaG/b29wih8ImHwb/te7eN3lcyGPHjnWe78fFLcfzvZ1Zw53CYFuNEY7O8KKaQAkFgwHrjYz1TxGqmBI0Bp3vbZwppzyhHIedANmO2IFfhfa8cwrPrOkq5DMI+DWG/BxG/+F+9H/Zrdd0wJohaoUdfI9It2jB44hAchbLtGOfvAPMeksOsMwaEwsJh4zAadFA5hYaL0mLsGBBjuo8HxULuQbZqe3u9HeJ3t56pMaNQjR0HQraCaVnnSEB8PrZ2c/cBC2Y4/mhnAF4NyBR1rKa3C5fKoXK8zXJ0mMcjxEIAWLUfPx6VOYXNWmjCc1nz8XD8jOVx6ULZaFSlIpODhanRHo8HOHe75XG3SsE24tdw13D9xo4B2Th/UmwG8UvP2h57/7i4uH1qIY1CWa/r/Wh7VhfF5lAgZJ6TqhDPlrCZK0Njh1dkomA7cwqVo3CHUHKmN4SAh2EzX8bNRN5oPD5qRyHz+c37umR/jTHZ7b7QhBuOQpdCITkKmxo2cQo4fweg6+D//AnbY7/zll5E/BpubhbwxanNQ7qHBLE3jLHjsUnbeJorcux4Ihaoa/xTq8J8PrAf+kloP/afAL/96+Dx7iB+9DUn8Z239uGbznTjtZOduHskgrN9IYx1BdAd8pJISBw59AhsQNghOgq5yie87XDGjgHpWBiWrkLHQhNxoT1dx+ZjHl8T7h6miYtACy6tZrHJAogUM7gtYx+KbmQU1jh6DDeNxwCS+TJ0MDCuI7Y0tevzXP0eh8fh8zCjlGMmsV1gVQ3SbdV4rDAKTeyFwrHOJm8+vnFNiPA9fWAx6wruiytZ6BwYifrQ19FGY+hHwaQspTp1ASxkLcqOdwXwi68bxa+8cfxALhCZPN/xS8/ZHneqJ4jeDi9yJR3PLWbqfj/aGiXiD4/Zutkri0zq0XxdC0ooxNTL4JmUcEYAu0aPfR6GW6TT/5nFNJZS4pw53AixFtIxy50KTWJmoYkjrjMKZeNxjByFzY729vcAAPhXPw+uYmKqEAl48F23imv3Dz2/hmyRNliIBsZlkcmVNfE6dJbyCV2j3f96sDvutTV/EESzQEJhI6LGIhPrIsPugODpJCBLDw6tyETCVKGJy+bjG4k8ynXqWucXnxFvTJ4CC1uPGj12U1wU3rv2ErzJDdvbVBmF6YJomXJNSgmF9mPHKvuws5iGZ3URvFw2Psc5N8capQBbOX5ceZxyZrZTkYmCqZzCVafmY/HiPr+VP9Dn30HBp1WRibWbEABeWE4DAG4brK9zjdgNe+3bwN72Hmj/4n2Ox75yLIrTvQdzUa6EQlx+XmQUWR3HGO4fE67Cx+ecQ7kJ97jNJ7x+BGPHBpOnxEbaxhpw7ZL4WLRLjNHv4HbpRv7S1CZKumg2bISNB3WNgSUnoVD8TIvJgu1rN8+kzTzh/kHL4/IlHcsp1Xjchhtyrcb5O4FjJ4BCHvzLn7Y99JvPxDAU8WEjW8InLsUP5/4RxB4wi0zshcJLKp+QhEKCaEtIKGxEYlIozOdExs4BwS8+K5xHI8fAbEagDgR1Eb9ofxE/GPEh6NVQ1M38o31z8VkA9mPHOuf42qwImH1g9QXwrYTtTXb4RNU9UFtOIVejxxGHIhMpFHYXU0C5DKxViF1bCSCTFgs7GeI+ocapKlwSK+ki0gUdXq1NFzAVhSZ2DEX98DAgV+K1O0QbACUUshP2QuHzMp/wVsonPHBYIAjtO34AbNReHDpwJk6J2IdMGrix25lcyf0yr+2JuVTdNmkImI3HNvmEgJkne6hFJhIWCAJjEwAA/o1HxAct8tluHxIbDTeli24o6muMfDb5WujkKIyFvOgKesAB3Ny0cRUqN2FnDCxofc6c2yqAA4gGPOgK0Khes8MYA3v7twMA+Jc+BZ63foz4PBq+5w5xLf3FqcRh3D2C2BuGo9C68bhY1o0NK2o8Joj2hITCBoT5A2Zz0kGOH78g8gkP200IAGxYXsQ7OAo1xozx46k65BRyvSwEUogiEyuurGURz5bQoXHcsXFViHE2MMbQE5I5hdkacgrl6DFzKjLJSaEQ8rYrXRLSoYK+AcPqrlwSlc3HU3Hx9rGuAHyeBljIHTYuR4+9GsOwzNiaa8ZCE+UStsknTObLhohMRSbtA/N4gLO3AXDOKbxloANRv4atfNlwFRD7x3AUDtsLhdfk+fpEz9Fs6hg5hc8+Lj7QW30z8Xh3AFG/eSl51PmECqbKehyEQqDCgW8zfqzyCeHYeKxeZ/22o+VE88DuflD83VNb4I990fbYO2W27Eq6ROPHREPCNzfEmoZpwMiE5XFTG3mUdI7OgKcx4iQIgjh0SChsVFS22AEJhVzXzUIPmxbOA2PIzCjkuv3FVF1zCm9MAekkEOqwLXp47KYYt7u3zwMfL5tZgjb07qX5WDkKHTIK1ehxt1yDVbokDLG1YpRtUo4WL1SMUymh9UhG2RoA1icXeA6jxwAwaowfN5dQyDfWgcS6uACcOGV53IsrGXAA411+dMuxeaI9YBfc5RR6NIZ71fjxLI0f1wNeLpubPDajx/FsCRtZ0TR5ZDERKqcwJ0Ri1lt93FZjDLdWxBc0ilCIIbEZidWlbVEd1agW1bEL2XjMXOYTtqVrv0VhHg/Ya94q3rnygu2xnRVO0ma7fiDahJtymmBotGqchOJyxdgxbXoQRHtCQmGjIgtN+Mbawdz+7LTYUQqEgNMXDuZ72NE3BHi8QCHvKIbWs/nYyCc8ezuYt7pAwjk3hMIHjkkBL510XGyonMKahEKXGYXG6LHKfqp0Sah8QiW+AugOetAZ8EDn5sJFjbK1Yz4hAHP0eDMOXrAXnc1Ck/qV6BwKKp9w9JgYH7TgJTl2TG7C9sPIKbx20XaMDgDuHxPO9sdnk02Z19lwrMjGY3/AtvFYnavHOv2HXmSiMApNFBaOQsDMKQSAkc4GEQpjveL3vDOqowpqY81WKDQchW4bjxvk90DUBeUA5qv2EwmA+beftRtlJ4gjQuUTOheZCKGQxo4Jon0hobBBYUahycEEIvMXxdgxzt8O5j18Sznzes3mwBqaj/e7WDVclDb5hCvpItYyJXg1hruO9wp3FueOrsK9NB9zdZsRd0JhT5dYkPHlBfM2Fs3GYwVjrMIlIRad1zeOdpTtyIlEgaC84FlfsT10TLpBmm302MgntHHLAsJpCrSxaNzODI6KjahSCbh+0fbQO4fDCHgYVjMlozGd2AeLMiZieBxMs778unaURSaKgRGgI2K8yywyCoEdQmGDOAqZpomfAXBdaHJjI2d5jcFdNh7fNITCNn2dbVWUQOwQXQJUXD+Qo5BoRGQ+oVORieEo7KfrRIJoV0gobFRUockBOQrNsePDzyc0GHKXU3isKwCNAVv5sjGCuxd4NgNMXQFgLxQqR2BfhxdBv88cC3bIKeyVbr94ppaMQjF6zBxHj4Wbsbs3Jj5QufCRQqFqPFYYhSaJPBJylI0BmIy154s+Y0w4WQEzmN6CUcNR2FwX+kbjsYNQqJ5HStwm2gfGmOEq5Bftx48DXg13j4ixUho/3j9m43HjFpkomKYBlYVINkLhaNSP071BdAU9xsZeI8CG3BWajHX5oTEgWdCtrzGko5DZZBRWNh4fI6GwtVATCZk0eNr+XKgmEshRSDQi3EWRyWq6iHUZf3G6lxyFBNGukFDYqEhHIT+oMhN10Tt5+mBu3wXGqKxqgbQg4NWMC6995RRefUmMIfUP2V7sr1UIhQCAzpj430Eo7NlLRmGNo8c9g3L8azMOns2AZ1LApnSd7gjHN10SeSOfcKTTj5CvjZ/2/eJinzuMoimhMJ4tIVO0HzlvKJQQceyk7WHqMdpD+YTtyXl3OYWA2X5MQmEdWFCNx/bt1w3hKATAjleMH9sIhYwxvP/Nx/DH33oCYX8DNf2qnEIHodDv0YxzfrVCE17Ii+xXwNZRuJAsQOdAxK8hFmyg3wOxb1ggAHTJ7PAV+41G5SadbbKJBKL14bkssCInksYnLY9TY8eTsQCCRxR/QRDE0UPP/gbFHD2uv1DIy2VT9Oruqfvtu0ZlvjiMBQFmTuF+mo+5Gjd1sNuvSUegcggqEY87OQpDtY0ec87NMpOItaOQc24Khd0RU7hcWTDchIj1goW2580p5+B0Im80Hp9oILfHUcCUK8Ch0CTi96A72FyB5FwvAyn5eIpZP6+LZR1beSF+9nRQk107YuQUzk6Bq3OQBa8YicDDgJubBSw0yXOhUTEbj62FwkSuhPWMcH8ftTvPyCnsiOx6fdlJwKuhw9dg4phsPnZzjWFbaKJeL0JhIBy1vI2bCXPsmML/WxC5wcwdxo9VRuFSqoBimbJdiQZi/oaIUurqAevstjzssson7Cc3IUG0MyQUNiqyzORAWo+TCfFCoWmO2XgHCatoPnaiLs3Hmxvi+9q8OAKm20qNZTIlzLnMKNzIllDWXVwc5nNAUS68bRyF6YKOory97pB32+KHKzfmjrFjQFysagxI5st4aiEFgDLp3F7oA8Bos+UUppLiec2YrfCsRut8GkPUTy8B7Qjr6gZGJ8Tj5crztsdGAh6j9IZchXuHl8ums81m9FiNHY90+o9eeDt3G9grXg32Ld99tPdjj7BB+bpYkelrhdpYqy4UyiKTgWFbAVA5yGjsuDVhciLBKLaxoCfkRcirQefAYrJJrh+ItkAVmeCY9dgxAFypaDwmCKJ9oVVio6IchemkY0NrzaiClM5u20D1A0eNBW1uiBFaG5SjcGY/zcfKEdgVsz1sXToK+5TbyuXocSzohcYAnQtXiCNKePT5AZuG2ri8rbBfg9+jmQLr8nxFPuHuhWfAqxnB8hfli/5Rj7IdNUxlFDqMHgOVzcdNcqGvHp/hKJjHWmCIq7HjDi+5XtoYtpfx4zkSCvfM6qIokPEHbMd41djxyQY4VzOvD9r7fhbam9911Hdlb8hNNRXVYcdktxnVsRPuIp8QAGa3qPG4pVGFJg4Zx4wxaj4mGhMjn9B6sqpQ1o3pLWo8Joj2hoTCRiUUFgsKoP7jx9JZhy57Z91Bw0Id5ojkorvm48Vkcc+ZccbosBL+LNhrRqFHY+gOiq9xVbqixkSjnbaCjRo7VrdtLH4cHIUAMBHb7mxo99FjVIweOzVoK6FwfqtJLvST7vIujSITyidsa2oRCl85Jtpvr6zljI0UokZUPqFD43EjFJm0CqwjbL5+O+QUqtfKua08imV9+yddNh4rRyE1HrcoaiLBQSgEzObj2WbZaCTaAu5CKLy+nkNJB7qCHgxGKJ6GINoZEgobFMZYxfhxvK63zZWj0CbH7NBwmVPYFfSiN+QFB3Cj2miQG2oePd7uKHTKKARqLDRRwo7D+LeRTyiFHTaomhwXjCIYq8yryQphsLfDi85gm4tDfdLJk8+aQq0F6kK/WRyFboVwlaHZQ43H7c2ZWwCPB1hdclz49nb4cLZPCFdPzNm7v4nqmPmE9o3H140iExKb6sJQxeulDX0dXoT9Gsp89zlfOQph4ygslnVjzJQcha2J4Sh1EV2iHgNz5CgkGgReLgNzM+Idm8ZjI5+wL0RTJwTR5pBQ2MhIIY9vrNX3dmVLLus6eqGQqfHjw8gp3HJ2UpZ0szikb2dGoQuhsLcGoZC7KDIBTAdYt3KAGb+zWUAVtFg4CicrHIVtn08IgPn8QEyO9TuMHytH4WKy4C5z8qhJJgBUPF4tdNJs6AAAmd1JREFUoMZjAgBYsAOQrbauxo/HqP14Xyw6Nx5v5ctYSYvnJ52v64PaWIPDZiRjzCw02XmNITMKmY2jcH5LNB6HfRqdW1sVJRRurIMX7Z3V453UfEw0GCsLIhc9ELTd9FCNx5RPSBAECYUNDDuoQhPlKDzi0WMAgMzb4y6Ewkm5cJreQ04h59wU+myElI1sCRyAVwM6ZestovJ4hzITwBzndDd6LG6PRe2Fwo2dQmHfoCiiKRREGUE4ajluqgLaAeAkOVQEcvzY2UXlRcDDUNKBpVQTjFtu1Th6TI7CtsdoP64hp/CF5QxS+b3FP7QzXI4eMxdFJsNRH8L+BmsQblaUUOgwegxUNB9XXGPwUsnckOu3FgqVIDRGjcetS7QLCITEdZfTRmOXii5pko1GouXhN2WRydikZfwF5xyXV6nxmCAIAQmFjYwqNKlzRiFXGYUNMHpsFHM4ZBQCZr7enhyFmbQIkgdshcI1mb/VE/JBUxf7RutxAlzXq3+hpEeOK7vK8XKZKbdr9NjrA/oqdgOHxywXJv1hLzp84mlODhWB0VzoIBRqjGHUKDRpgvEh9XhycBTGKx7jRHvDLsicwsvPOZ7bRjr9mOgKoMyBJxdo/LgWuF42XfM2jsJGKjJpFZgxeuxCKFSlaZXxJvEVQNcBv992c/XmJhWZtDqMMdOJ5TB+PBD2we9hKOocK+km2GgkWh8jn9B67HglXcRGrgwPo5xcgiBIKGxspFBY99HjROOMHitHIVYXwUv2F1Oq+fhGIl/7Dq0aO+4Ii/FTC9Z3FpkAppCn60DafoGsHIXuMgrdjR7vchQCZqEJ7DOvGGP4zlt6cc9IGHcMh53vUzugRFblErFhTI4PzTfB+JCRUUhlJoRbJs8AwRCQShqLCDvuGxelJjR+XCOry0CpKMQmm8bj6yQU1h/1Wrm84FhgpQpNtk0trEhBqG/ItoRGOQqPUZFJayM3GvmKvVDo0cyNRmo+JhoBVWQCmyKTK2vi3He8O4iAlyQCgmh36CzQwDDDUVjfMhM0kKMQ3b1ilEPXHR1eQ1Efgl6GQpljPlmjcOO26MEQCk23FfN6xXhv5e1YYGQUuhg95q5basWYX3fIHEUzsh0BoxDGivfc0otffsM4gvSiL3A5egwAoyqQvBkKTeTjiXVaP54452ZGIY0etz3M6wXO3gYA4JeedTz+ATl+/PRCGvmSvQORqEAWmWDIXeMxCYV1pG9IlPbkc44xLhOxABiARK6M9bQ453OZT+jceEyOwnaAqfFz9biwQeUczzXBRiPR2nDOgVkxemznKFRFJmdp7JggCJBQ2Nio0oU6Ogq5XjbFrgbIKGSMmeUcDuPHGmNG5t50vLacQmPc2qHxWI0e78pvMwpNNmy/vtcYPXaTUSgchczl6PF2R6EpFDKLIhOiOkZzoQuh0LjQbwah0HAUxiwPSRd15MvCVUOB+wRg5hS6KTQ53h3AQNiLfJnjmcX0Qd+1lsFoPLbJJ0zly0YW6kmKiagbzOs1XeQO48dBr4bhqHgNv7Yqpwekc4zZNh7zisZjchS2NPJx4GajUT0WZpvh+oFobTY3xGYy04BR6/iLK6tm4zFBEAQJhY2MKjPZTIha+3qwtQlwXbxY2DiPDhMldHHVCmnDnpuPpcDnthF2l1AoxTzu0lGYK+nIFB3+Zoaj0Hr0OFfSkZXOne6geZ9qcRQSO1AZhRtrIqjeBiUUzm/lHcfWjhLOudF6bOeaVWPHEb9GYyUEgIpCk6sXwYv2C1rGGO4bp/bjmllwbjyekuOugxEfIgEqMqkrcvzYTU7hhNyMVEKhG0fhYrKAMgdCXm17bAnRcrCBGjYau2j0mGgQ1Njx0CiYv/pmRr6kG7ELJBQSBAGQUNjYRLvEyAzXzXHh/WI462JgWoMsRlRO4ZLzRfyJnj02H7t0USpHYeXoMVAhMDo0Hwe9GsKyPMTRVWhkFFoLtspN6Pcwo5QEADAyAXi9QhRSgjLhjs5uwOsT4+4Obt3hqB8MQKqgY7ORm17zOdGCDdiOsseVEE5FJoRieBzo6gGKBeDaJcfDHxgzx48bWTxvJPiidBTabOpQkcnBYWysubjGmJSbkVcNR6EQCplt47E5dkyNxy2OcqeuLTsWQI3LjOO5zQKdK4kjhbsYO762nkOZi+ml/jBteBAEQUJhQ8M0TSzggPqNH6u8w0bIJ5QYjsIl5+bjSkdhTRdemwnxv4OjcM3KUWiMHiccv5XKfrMTCnmxAOSFxd9W2KloPK5cgLBoJ7Sf/21oP/ObtplXxG6Yphk5hU6ugIBXw0BEiGoNXWiiHpf+AFjQeidYtXF3k+uFkDDGaho/Pt0XhMaAzXzZOD8R1ojGYylQ2TgKqcjkABlUzccLjodOykKTa6spIQSp1wgbR6EqMqGx4zagpx/QNLGx4rCBPxz1Q2NAtqTTuZI4WpSj8Jh1kYnKJzzXF6QND4IgAJBQ2PjUudCEb8rbaYB8QgPDUTjnKP4d6wrsaZHKXZSZlHVuOPj2IxSazcc2Lc7KmejxAB3WbcRV8wklbOLU9hFkwj0qZ2ht2fHQpsgpdF2MQ43HRBVqEAr9Hs14TtQcAdGOrC0LUcHnB/qsG4+pyOTgYCrT18XosRIKp9bTKMfXRVu1xyMEIgtuUpFJ28C8XrO53GGj0edhGI6q8eMGvn4gWh7VeMxsG49lkQmNHRMEISGhsMFhstCE19lRyBrIUYj+YbFDm8s6CqIBr4bRvSxSVUahjUCayJWgc8DDgFiwulDolFEIVBSa2AmZxthxp+3OnZ1QSOwdphbsa+4LTWa3GlgUcZFPCJguVyoyISoxcgpvXANPpxyPn+zeYwREO6Iaj4fHLOM+0oUyFpKqyIRcaXVHbaitrYAXbTbwAAxEfAh5NRTLHPOz8vWhdwDMYx3VokaPj5GjsD2oodDEuH6gnELiiOC5LLAi3dRj1YVCznmFo5CEQoIgBCQUNjoqfy6xXp/bU6MSDeQoZD6fmfviavxYLFJnahEKjdFj6597rUJE8WjbxTtWi6NQuhHjdhmFygEWsS4yAUwHGAmFdUY93lZdOArl4q+RR4/dOGaBCkchjR4TFbDuXpFVyDlw5XnH4/dcKtWGcFlkYpdPqH6P/R1edO7cpCL2T2cMCHWIvGdVTmKBxhgmpKvwozN5lJhmCEPVKOkcC9R43FYw4/rB/rEEmI+Jhp5IIFqb+RvitT3WY1nouJkvYzNXBoOZBU8QBEFCYaPTrTIK6yMUGqPHjeQoBIA95BROuXSzcF135bhSo8K9HVWKHtRIp0OZCWC6tewchTzlblRUOQp7aPFYV1gNo8ejzTB6vCUeT8zl6HEPCYXEDmrJKTxhOApJKHREOQrd5BP20gLtIGCMAQOi+dhNocm3nOsBA/DldBi/fvsPId1vLfIuJQso6UDQy9BHBQDtQQ3Nx+PUfEwcMarIBDZFJsspsf7p6fAi4CVpgCAIAZ0NGh3pKKz76HFXYwmFTOUULjoLhTUvUtNJ0XAL2ApzlkUmwLaMQqccxV4XZSZq9NhJ2DFHjxukobpVUGUmNYwer6aLyJfsWw6PDCVg0+gxsVdOngMA8LkZx0NVM+xisoBcoz4nGgS+KB2FI9R4fJSoPF83hSavmezEB999O4K8hOe7T+PnPfdiMVl9o0jlE451BqBRAUBbwGoaPTabjwniSHCRT6jOb8ORKkYJgiDaFhIKGxxW5zITNGKZCVCTo7BykZotulikqnHrSKcIorZAiSh9dkJhqQhkM7bfTjkS427KTBxGjzeyZQA0elx3lFCYSoI7/D07Ax5E/Ro4YIyYNRxq9NhGeC7rHImcEsPpYpDYDqsolXIiFvSiO+QFB3AjQU4ZK7heNje/bByFRpFJNwmFB4bKKVx2fnwDwGtP9eH98x9Dby6B+XIAP/O5G7i4svu1QpVUHItRkUnb0OfeUTgmHYWb+TK2ctR8TBw+bopMlqSjcDBC5zGCIExIKGx0ZJkJNtYdnWxOcL1sCgoNNnpci6Ow5kWqy/y2NZvRY+YPAMHQ9tuzQDXKJnJllHSLv1lKlpk4jYrmyAF2ELBQhynSOowfM8Yw2uCuAO6i9ViV9WgM6AqQQ5XYgWqGTSXBVdmSDcdVO2ycCk0sWVupaDwerHpIpljGvIw1IEfhASIf39zF6DEgwv2Pz7+EDzz9RzgV1ZDMl/GfvjiLh6a3x4+okdLxTsonbBvU6HFqy3GjMejVMCBH0mcbOb6EaEl4uQyoKQGb0eMluQk+FKVNZIIgTEgobHSUoFcqAqnk/m4ruSVGcBkDorF937W6ooTCxDp4zv7CCwBOGGH6zotUvuWuwMVwFFrlDLksNOkMeuDVAA5zdHjXfTKEHWtHYbHMkcyTo/DA6K/dFTDfqBf68jFpFVQNVBTjBHeX9RAECwSAXtkGXkNW7Aw5Cq1R+YRDo5aNxzMbeXCIDaYYnecPDKaEcBejxwCgbyWAbAY9xRTe/5ZjeGA8gpLO8fuPLeL/PLcKXW7c3tykIpN2gwU7zE05F4UmNH5MHBkrC2KzKhC0LWVSGYVD5CgkCKICEgobHOb1mRck+80pVGPHnTEwT2M5ilg4YgpxLnb8j9eSUygbj+1EFMAsM+mzGst0WWiiMWYWmljlFKacMwrVmKiHAVFygNUdJh0+3EVOoVlo0qCiiIuyHtXCTUUmhCUqx81VBIQ6B5Oj0Aojn3CYikyOnEFZZpLaAr953fHwkppuiPUiGAriZ18zim+/IDZuP/ziOj74yAKyRd3YPKLR4zbD2Gh0LkQzCk0a9fqBaF3Uemp4HEyzXvIvSqFwmByFBEFUQEJhMyALTfbdfLzpzll3ZAwdUPOxi9FjnXND1KtaZlLx9dzBUQgAPSHxYruetcgpVKN9EWuhULkRYyEvhaQfBEahifOF/lgDNx/zctl0G9sIz6qFm8bYCStqySlUru4biTzKVhEL7Y7ReExFJkcNCwSBC3cCAPTf/8/g8zdsjy8tCJEXA8MAxAbge+8awI/fPwSvBjx6M4mf/uwMSjqH38PQH6YFdjvB+lShiQtHoXSbzpKjkDhkeFwaTHr7LY/Jl3RjvUEZhQRBVEJCYTMgC014Yn9CIVeFKA3WeKyoJadQOQpdLVJdjB4ncmWUZX5bd7C6kMJcjh4DptgYt3IUuhg93iBh52AxmgvdCIXiQn9+q2CMnDUM6rHENCAStTws7iSEE4TarHFxDh6O+uH3MORK3AhCJ7bDF1TjMRWZNALa+34WmDgFpLag/+4vgc/ftDy2JMVyJoVCxZtPxvArbxxHxK8ZG0fjXX7azGs3BtxHlyhH4dwmOQqJQya+CgBg3dZCoXr9Dvs0RP0kCxAEYUJnhCbAaD6u0+gxa7AiE4Nh92NvQxEfgl6GQpk7NtFy5aTstBYK1dixbX5bDUKhGu+sNnrMSyUgkxLv2DjAjEw5EgoPBGY4Cp0v9AcjPng18XhbSjaYKGI0aEctc9AA01HYGyLnC1EdNuzeUejRGCZkockMjR/vgus6sCRdaRZCYa6kG2ITjR4fPKwjAu0//Cpw7CSQ3IT+u78IvlBdLDQchVVyvW4bDOO33zaJETmmd5xE3vbD2Gh0IRTKjca1TAmZYvlA7xZBbEOtG3v6LA9ZSplFJow2PAiCqICEwmZANR/v01GIhncUyvEsF24WsUh1mVPoouhhzY3bqobR4167jMK0HBNlDAhHLG9jI2eWTxAHgCEUrohFvQ0ejeFsn3i8ffjFfQr29cZFPiEAxKUYThmFhCWq8GFtBbzoLIibERDklNnF+gpQKABeH9BfvfF4eiMHnQPdQQ85xw8JFo5A+8lfBY6dkGLhL1V10JYWRbbXTkehYrTTj99+2yT+zSsG8S9vt16EE62JGj124yiMBDyIBcUmXsMWohEtCVeOQjuhMElFJgRBVIeEwmZAjR7H9ydQ8EbPKFRulpVFkbvmgOvmYyXsdcUsDzGKTGxyhgyhUQkzNvR22GQUKgdY2N4BRqPHB0xPP6BpolFcPTds+P67BsAAfHl6Cy+tODdzHxbcRQYnYDpU6fFEWNLVDYQ6AK4DK87ZW8pJRY7CKhiNx2OW5/mpuBBYKZ/wcGHhqHAWjh0HthLCWbjDRVtatHYUKqIBD95xttt4vSfaCDV6HF8VUyIOjFNOIXEUKEdht7OjcDBC5zGCILZDQmETwGooXbAl0eCjx919gN8PlEuudmnVItXOzSKKHmRxiO3osQtHYTQm/q8ho7Cqo9DIJ7QeOwZMoZBGjw8G5vEIsRBw9Xg72xfCW06Jv9mffGO5cQoctsTjya5BG6gYPSZHIWEBY8zIKXQzfnw8pjZryFG4EzOf0EWRCY0dHzos0gntJ38NGJsENjegf/CXwGVDKM9moKvNo/7qjkKizenqEderug7EVxwPV4Vos5RTSBwSvFw2J8lcOAqHo+QoJAhiOyQUNgPqQnV9xdXOpSWGo7AxhUKmaeboWw3Nx7aOwuQmwLlj0YMaPe5zMXqshBk71OhxPFsC31F+wZVwaVNkIr5WuCq7Q9auQ2KfqJwhlyL8993Rj6hfw41EHv/0srML8VBQwrONozBf0pEuiPFqchQSdrAh91mxE/IcvJ4tYSu3j9emVsRoPKYik0aFRaVYODoBbMaFs3B5AVBNttEusFDH0d5JoiFhjAHG+LHz9YNyFM7R6HHdeXE5g6/ObDXO5m2jsBkXQrbHa2uUUGUmQ+QoJAhiByQUNgNd3YBP7Vyu7ukmuK6b7b+N6igEwIaF+8LVIjUWgMaAzVzZcN/tQv3MnV32RQ9y9Ni26EEJMfkseN5+V1jlwBXKHKnCjvw7o3yCHIVHTS2FJgDQGfTivXcNAAA+9Nya8bg5UpTD1UUxTtDL0OGj0z5hQw2Owg6fx1hcTCfIKVMJl6Or6jVtJ/mSjpvSXUSOwqODRbuEWDhyDEjEoX/wF8FffFp80iKfkCAAVBSaOMc0UPPxwbCaLuKXv3gTH3x0AT/12ZmGioU5clRcVaxHGDGqUNY5VtKyzIQyCgmC2AGtGJsApmlmTo6LEcmqpLaAclkUaDhkmR0pNSxSA14NI9Iqb+kqdJnf5spRGAwJwRYwBUgL/B4N0YAQJneJSUnhKGQ2jsKyzpHIUabcgaOEQheOAMWbT3bhdG8Q2ZKO//3M3oT7esJdjLKrEfiekJda7QhbmDwHVyt4qIaKgHDMim0juK4Di/aNxxdXs9A50BX0GA504mhgnTFoP/VrwPA4kFiH/tG/Eh+3ySckCFbDdfmYdBQupYoolO3L0wj3fPJyHGVpJJzeyOMX/vkmfveRhcbYxD1iuIvG4/VMCSUd8GoUS0MQxG5IKGwW1M6li4D5qqicikinyGZrVGpcpJ5wyCnkmwnxho1QqHNekVFoU2ZSKbLup/k45SzsJPNl6BxgAGLUenxw1Dh6DAAaY/iRe4fAADw8s4Xnl9IHdOdcYrR6W4+WGEUmFLpPOKFKpZbmd8UmVMMslSKnjMH6ClDIA16vZRnGl66L14EHx6Mk3jcArLMb2k/9urlZCYANjBzhPSIaHsNR6CwUdgc9CPs06BxYoPHjupAqlPG5a+I8+u8fGMbbTsXEddmNLfzoJ6fwkZfWUWxnUVY6Cll3v+UhqshkIOyDR6PXIYIgtkNCYZPAVE6hixGHqmw2/tgxALBhM6PQzSJ10imnUDr/7ESUrXwZJZ2DwRwZtkSJe0kXOYWq0GTHWDR3MXqshJ3OoIdevA8QpjKGVhaEC8glp3qDePvpGABRbFI6ymwc1cLdaecoVKP1JDoTDvQPiTbwfNbcYLJhkoTC3cgiEwyNVd2YSxXKeHwuCQB400n7CAri8GBdSiyU1yETJ4/2DhENTS2OQsaY4SqknML68LmrCeRKOia6Anj98U786H1D+ODbJ3G2L4RcieOvn13FT/zTNJ6cTx31XT0aXDgKzXxCGjsmCGI3JBQ2CzIrx83OZTX4plzwNWiRicHgqBiPzqRNAcSG406LVBejx8rxFwt54XUS5eTt8Bqaj+M7HYVJ5zITlU9IY8cHzPAYEAiJx8mzX6/pS7/3jn50BjyY2yrgHy87CyoHAefcLNexGz2mxxPhEub1mQVarkqlhKt7bjPf3u6NCviiKDKxyif86swWCmWOY11+nOqhfMJGgsV64PnF30P/B/4U7PZ7j/ruEI1MhVDoZmNb5RRS8/H+KZY5PnlFGAHedb7bcGWf6g3it956DP/ugWHEgh4sJIv4tYfm8OsPzWIx2V4CLV+X0Tg9No5C+TsZitK0CUEQuyGhsEkwdi73OXrMGt1R6PObuXGL847Hq9Hjha0CcqUqi1Sj6dnaUbgm3Va2+YTq/tU0eixeeNezOzMKhbDDbISdDZlP2E1jxwcKC4bA3vQtAAD9Hz9Uk6swEvDg++8SF2B//8Ka8Tg6VLIZoCS/bzRmeVjcGK2nxxPhghqaj/s6vIj4NZQ5MLvZXgsxSxwaj784JV4D3nSyi8aOGxAW6kDw1rvpb0PY0zsoNrbzOVcb22OdSiik8+R+eXhmExvZEnpCXrx2cvu1tMYY3niiC//jW0/g2873wMOAb8yn8WOfmsb/eW61fdqRpaOQkaOQIIg9QkJhs6Da99aWahIzDFwIZg2DkVM463hoLORFd9ADDuBGldZNXoOj0JWIUoNQqMaYd2cUOjsK49R4fGiwt74LCHUA8zeApx+r6WvfeKIL5+SYy/96auWA7qENaow9EAILBCwPMzMK6fFEOKMKTeAiK5YxRoUmO+By9JiN7HYU3tzM4+p6DhoDXj9JY8cE0awwnw/oliKMi0K0cRo9rgucc3z8kjA/fMvZbvg81QX9Dp8H/+ruAfzBO47jzqEOlHSOD7+4jqcXjjhX+rCIS0dht51QqBqPyVFIEMRuSChsFnr6RW5UoWCKfjXAVdZUgzsKAYANmTmFblCL1Kl4lUWqUfQQs/z6tbTMb3NT9LCHMpN4RUYh13UgJbKp7DIKN0goPDRYOAr2pm8FAOj/+Lfgetn112qM4X33DkJjwKM3k3h28ZAvQF3kEwLbW48JwpEaHIUA5RRWsq3xeHi3o/CLssTkFaMRxOj5SBDNjVFo4jzto0aP57cK7eNqOwCeXkjj5mYBQa+Gt8qsaDvGuwL4lTeO467hMIDt1+StCi8WzY1kC0ch5xxLSekojJKjkCCI3ZBQ2CQwrxfoHRDv7KXQRGYUskbPKAQAmevkdpF6oke5WaosUl04KZWI0udm0aYyCl2MmSiH4lqlozCdArh0hEYoo7BRYG/5ViAUBhZnwZ98tKavPdETxDefEY+vP/nG8uHmtLlwzHLOjQtjNQ5PEHYYjsJl5/gHwIyAmK7i6m474qui8djjNScBJCWd46FpOXZ8gtyEBNHsmLFAzvnh/WEf/B6Gks6xnDqCqJImgheL0D/yF9Af+vSuKaqPSTfh2051IeLfXRZVDcaYcT29lW99odAoMvH7gXC06iGpgo50UfxuyVFIEEQ1SChsJvr3UWiy2UyOQrlIXXK5SO0RbpbrOxyFvFgEMrLtzC6jUIoofWHnF0ojV3DLTeuxuL1kvoyCEo9S8us6wkL8tSCeFa627pC7iyBif7COiBhBBsA/+Xc1uQoB4F/e3ieDswv4xKXaHb97hbsoMknKVm+AHKqES5SrO74Gnss6Hj4ZM9vn3YT6tzQqn3BodFfj8dMLKSRyZXQFPHjFaOQI7hxBEHVFCYVrztflGmNmTuEWbarYwR//MvjnPgb+f/4Y+u/9J3A5RnttPYcXljPwMOBbztW2nukMiPNxMl/b9V1TYowd91tmraqx4+6QFwEvyQEEQeyGzgxNBBvYW6EJ13VgMyHeaaKMQqyvgOedM69OSjfLTCJvCCIAzLFMjxfosF6UrWfU6HF9Mwojfg1+mZ1iNB+rUQCbsWOARo+PAvambxWPk6U58Ce+WtPXhv0iCwcA/v7FNaymD8ktoIpxbByFyk3YFfBYZvkQRCUs0mmKz8sLjsePdwXg1YB0Qd/uoG5D+PRVAACrUmSiSkxed7wTXo2eiwTR9NS4gT8mcwqp0MQe/ugXzHeuvAD9v/wE9CcexscvrQMAXj3RiX4Xm/uVRJVQWGh9oZDHpaPQpshkUY0dk5uQIAgLSChsJtTOZa2OwnQSKMvFW2fjC4Us2glEpFXexejbYMSHsE9DSeeY3azYpVXiaGfMckeNc26OHtciFGZS4CV7Mahy1GFdZaIknYtMOOc0enwEsFAH2Fu/DYB0FZZru5h83WQnLvSHUChz/NlTzsHmdUEJ1jaOQiOfkIpMiFqoIafQ52EY6xQL4Kk2LzThz3xNvHHrPds+vpkr4RtzwuFOY8cE0Rqw/kHxhsvr8nHpKJzbJEehFXxxFrh+GdA0aD/7W8DxM0AmjeW//nM8OiM2W959ofbpqGg7OQpdNR5TkQlBEPaQUNhEMJl3xGt0FBpjx9Eu23HXhsJoPnbXuqlyCreNH2/JEVAbt1WyoKNQFi5EV6JcRwRQ42Suxo+3Nx/zpPOoaLqgo0ijokcCe9M7hUi9sgD+9Ydq+9qKYpPHZ1N4fungi02MrMxozPKYdRKdiT1gRkC4LZUSQuFMGxea8JUF0Z6uaWB33Lvtcw/PbKHMgZM9QUxKFzxBEE2OdBRic8PVBAw1HztjuAlvvxfs9AVoP/tbYN/y/+CTY6+BzjTckZzG5MrVmm9XCYVb7SAUKkdhd7/lISonk4pMCIKwgoTCZkJdkNRaZqIaj5th7FjCZKGJ25zCkz27m4+5i6IH1XjcFfTA53F+OjBNM0U+N4UmsjwinpXuQ5lRyGyEwnhOCDthvwa/i/tE1A8W7AB723sAAPxTfw9eqm2McrI7iNdOCrfoC8uZut+/Xbh4jBtFJuQoJGpBCYUuNmsAs31+uo0dhfyZx8UbZ28D2xEgr8aOyU1IEK0DC0fMaJs150mCMdl8PLtZoDzXKvBSCfxrXwYAaK96MwBR5ph523fji8deDQB419QXoP/uL0H/yP8WWeQuaaeMQr7hPHq8lCRHIUEQ9pAK0Uz0ydHjTBo8nXT9ZVw1/zZBkYmBCtN323zcrQpNKkePxc/N3DQe1yKi1FBo0rOz+ViNHrtoPO4OkrBzFLA3vEP8jVeXwB//cs1fr8LKDyWrzcgotBGeM9R4TNQOG5au7hodhVXb59sEJRSyux7Y9vGpeA7TG3l4NWZsJBAE0SIYsUDOm/jDUT88DMiVKM+1Ki8+JTZAO2Pb4hs+c3UDOR2Y7PLhzluPA5yDf+6j0H/zp8Hnb7q66bYaPZZlJqzbJqNQOQoj5CgkCKI6JBQ2ESwQMMW+lRpyCqWj0E4wazSYMXo86+p45Sic3sihrApNDLeVTeOxLDLp66hBRJHuLe6i0ES5uHaVmdg4Cimf8GhhgSDY2ytdhbUVk6iA7bXDKDRx0Xqsynooo5CoCeUoXF5w1QKuxmmXUkVkim2wENsBT6yLXC0A7M77tn3uC9JNeN9YxFisEgTRGjApFHIX1+VejWFYjnrS+PFudDl2zB54gxGVVCzr+NQVsfH/7lv64Hnvj0H70V8QG+6z09B//T9A/+rnHW+70y/OvamCbq4TWhU1etxbffS4UNaNdclQlDaRCYKoDgmFzYZxQeLcRGmgMgq7eg/gDh0QNS5Sh6N+BDwM+TLHgrTTcxcZhcpRWMtYJquh+XhXRmHKucwkTo3HRw573TeLx836CvhjX6rpa5XorETog4KXikBGlCO4GT0m4Zmoid5+wOsDSkVgfdXx8M6AxzjftWNOIX/26+KN42fAus3X2mJZx8PTNHZMEC2LchSuuSw0McaP2+88aQff3ACe/wYAgMmxYwB4aHoLiVwZvR1evHpCXDuzu+6H9it/JFyHpSL4h/4YPGOfCx2RmzQcQLqFm495LgNk5e/CwlG4kiqCAwh6NXTR5hVBEBaQUNhkqEKTWpqPzdHj5nEUom+gpkWqR2NGRpZRaCJbj1lXzPLr1mV2YO8eHIWuhMKdGYVqVDTi7CgkofDoYIEA2Dd9OwCA/9OHa8rB6asYNz/QDCI1xq5pZkZSFajMhNgLTPMAgyPinRojINpx/NgYO757+9jxE/MpJAs6ekJe3DkcPoq7RhDEQaI28N02H6tCk01yFFbCH38I0HXgxFkjp1znHB+/JMwO33quG16NGcezrm5oP/HLQCAElEpGBrgVXo0h7BPL3q0WFgoNN2FHGCwYqnrIkhw7Ho76wBiregxBEAQJhc2GKjSppfnYGD1unozCbYvUBbfjx+Liyyg0cTV6vIeMwj04CuPZEnTOTXHHxehxd4h2+Y4S9tq3A109QHwV/NF/dv11vR1eMACFMj/Ydj2j8bhLlOxUoaRzbObKxv0iiJqQWbFu2ucBYDLWnoUmPJ0CrrwAYHc+4Revi8XrG453wqPRgowgWg01euw2EkjlGJOj0IRzbrQdV7oJn5pPY26rgA6fhreeiu36OsYYEJYbMGl7RyHQJjmFRuOxTT6hnLwapCITgiBsIKGw2ahx5xKAUerRTK3HAMBGjgEA+JI7ofCEzCm8rtwsBzR6bGQUumg97g4J0aikA5u5EuBi9JjKTBoD5g+AffN3AAD4pz8CXnS3++/zaIgFxcXoavoAw8qVUB2NWR6iHktezWz8Iwi3MCMCwl37/HG5WTOTaK8FMH/+G0C5DIxOgKkNLoh80GcWxeL1TSdjR3TvCII4UNQG/vqKq6gc5SicpYxCk6krwOIs4PeD3fsa48Mfu7QOAHjbqRg6fBbXMCEpFGZTjt9GCYUHuol7xHBZZIKe6vmEgOkopCITgiDsIKGwyah19JhzbmYUxpoooxAA5OiBe0ehEAqn4jmUczkglxWfsBBIOedG4UQtZSZMCTMuHIVejaFLikbrG0mgLIUjG0dhPCsuYGj0+Ohhr3mreN5srIG7CMtW9IUPPqeQqyITm8ZjJYT3hLw0XkLUzlCNzcfSUXgjkW/9sPgK+NNfAyBysyp5aHoLOgfO9YUw2kkLMoJoSbp7AK9XXN9trDsePtrpB4NwtW3mqPkYgOkmvOdVYKEOAMDLa1m8tJKFVwO+5ZyN0SEso1ccMgoBc8O0pR2FG8JRaNd4vJwSIvUQOQoJgrCBhMJmQ+1cbsbB8y7Gu9JJkd0BADZZfY0IGxFCodvm4/GuALwaQ6aoY3lZXqz5/YBFRke6oCNfFovZvTgK3QiFlbe9Hk+KDwRCYD7rRSO1HjcOzOcHe8d3ApCuwoI7p9ShFJqovEvbIhPZeByii0GidtiwdBS6HD0eivoQ9DIUKkqlWh2ezwMXnwawXSjknOOLsu34TSepxIQgWhWmeYDeQfGOi1iggFfDgBRoKKcQ4Pkc+De+CgBgr3qL8XGVTfjayU77HHHpKHQqMwGAqL8NhEI1etxjN3qsMgppA4sgCGtIKGwyWDhiFhe4cRXKfEJEOsG8TSYWVDgK3ZRCeDWGyZjMKVyWolw0ZumkUiJOZ8ADv6eGp4ISZlJJV2Mm6gInvpmR98l67DhX0pEt6QDIUdgosFe9RYxwbMbBH/6sq6/pD4u/3eGMHjs7CimfkNgTgyKjEMlN8HTS8XCNMUwYOYVtMn780tNAoQD0DgDjJ4wPX1nLYX6rAL+H4dUT0SO8gwRBHDg1xgKpnMKblFMI/tRjYgKofwg4cwsAkd/4tVnxmvOuc/b56qxDjR67zyhs6dHjDSUUVh891jnHshw9poxCgiDsIKGwGall/LhJ8wkBiJ/T4wHyWcNK74Q5fmw/dgzsQ0SJdAKMAVw3Mwdt6JWC33pKXhC6KDLxexg6fPT0bASYzwf2ju8CAPDP/IMrV+HhOAoT4n+bjMI4uVOJfcCCITMQfcldTqHZfNwehSb8GTV2/MC2TakvTiUAAA8ei1pnaxEE0RIYhSZrNTYfU07hthITxhjKOscffG0ROgdeORbBZHfQ/gaUeSLtnFHYFqPH0lHILByF8WwJRZ1DY0B/mIRCgiCsISWiCVEXJNzFiANXjsJY8zQeK5jXBwzU1nx8QobpX09JB6JdkUl2D43HAJjHI8RCwNX4cY8aPZbfz/jaKlQKO5Qp1ziwB98kBN6tBHDzuuPxfYfgKORGq3fM8pi4yigkRyGxV1TzscucwklDKGx9pwwvlUSRCbaPHedLOr46I9wwbzpBY8cE0fIM1NZ8PN4lHIVzbe4o5CsLwMsvAoyBPfBGAMDHLsZxdT2HsE/D++4ddL6RUO2OwmShNYVCzjmgykwsMgqX5djxQNgHr0brDIIgrCGhsBlROYWrzkKhKjJhXc0nFAIwxo/d5hQajsKCDxwA67R2FCq3l232iRXKFagKJWxQjsJ4XoiXzEIoTObL+ORl8feisePGgnm9ppNXuXRt6D/UjEKb0WNyFBL7xGg+dplTeFy6P2bawVH48gsiQD/aBZw6Z3z4a7NJZEs6BsI+3DrYcYR3kCCIw4D11Tp6LJuP2zyjkD/6JfHGLXeB9fRhZiOHv31BCF3/+hWD7ooGw1IodJNR2OqOwlQSKMrHlIVQuEhFJgRBuISEwmZEChZuHIVGRmEzjh7DLDSBS6FwIhaAxoAt7sN6oMu2wGUtvY/8Nuni4i4chUqIXC/J8bMqo8ePzybxY5+awtdmU9AY8E2nY7XfJ+JgkWI7dyEUqtbjjWzp4NpflUhNGYXEQTJcW/PxRCwABmAjV0Yi29qNnkbb8Z33iUIDyRevi+fmG090QiNnOEG0Pv1mJJCbTO0x6Shcz5baJqZhJ1wvgz/2RQCA9qo3o1jm+K9fW0RJB+4bi+ANx62nb7YREqPHrspMWj2jcEO6CTtjYL7qQuBSUuUTUpEJQRD2kFDYhBhZKC52Lg1RowlHjwGYjsKFm64O93s0HJPZL1ORUfvRY+n2crVjuQNWQ/OxMXrM5fepKDPZypfxu48s4DcfnkciV8ZYpx+/9dYJvO44jas1GkyJ7S6EwljQA68G6NwcJ68nnHPDUWg7eiy/dy+1HhN7xHAUuswoDHo1jMig/ulE647VcV0Hf/brAAB29wPGx1dSRTy/LIqr3khjxwTRHvTLEdlsGsg4Z+VF/B7cMyKccL/25bmDnT5oVC4+CyTWgXAUuOM+fPjFNUxv5BENePCjrxxyHb9TS5lJy2cUqsZjCzchACwpR2GUrgsJgrCHhMJmRI1Arq+ClxwuLpp89LjSUehmlxYATqjx4+iow+jx3jIKAZjijAuhUN1+hvmQ03yGA+xr0kX48I0taAz49gs9+P1vnsTZvlDt94c4eAyhMO54qMaY4SRdSx/AAiCTBspSgLRwFGaKZeRkgzZlFBJ7RgmFq4vOrzcS1T4/HW9hp8zUFbFpEOoAzt1ufPhL00LAv22wgxwbBNEmMH/A3JB3mVP4k68awXiXH+vZEn7ty3PIFFtUvLKAPyJLTO5/Pa5tlfCRl9YBAD9y7yBitcSlKKHQRZlJ5eix2zVFM2E2HtsJheJ1fJhenwiCcICEwmakqxvwB0Tr7vqq/bFNXGYCABgcBZgmhBEXTi4AONlT4Sh01Xq8h121GoTCDp8HQa94qsUDXUgGY/jgI/P4rYfnsZkrY7zLjw+8dQLvvWsAfg89JRsW+VhyM3oMAP1SnFvNHMD4pWo8DnWA+apf7Kkik7BPMx5/BFEzsR4gEAJ03ZWLHQBOyJzCVi404c88DgBgt71CFG9BOH2/PCWEQioxIYg2w8gpdBELBOEq/OXXj6M76MFMIo/f/uoCSgcVVdJg8OSW4cguPvAm/NfHRMvxqyeiePWEy5FjRS1lJn4hFJY5kCnqtX2fZkCuCVlPv+UhSigkRyFBEE7Q6rEJYYwBxvix9QUJ59wU15o1o9DnN39WlzmFJ2Tr5lTUevQ4UywjK91W+8ooVIKNA+p7fG7kfvz49Qi+eiMJjQHfcUsvfu+bJnGGXIQNj+HKdSkU9h2ko1AJ1NGY5SGqyISKcYj9wBgzmo/djh8fV83HidZ0FHLOwZ+R+YQVY8cXV7NYShUR9Gp44Fj0qO4eQRBHQC2xQIqBiA+/+PoxBDwMzyym8cdPuMs4bHb4E18RUxHHTuJv1yOY2yogFvTgffcO1X5jYZFR6KbMJODV4PeIkeaWHD/esB89ThfKxs89SGUmBEE4QEJhsyKDk20b1jIpQI2KNenoMQBgROUUuhMKJ0McjOuIB7qw4Y9UPUaNHUf8e3NbsRpajwGz+fiT46/FZhE41uXHb79tAt93Zz+5CJuFGjIKAbPQZPUgsoeMfEIqMiEOHiaFQreFJpNSKJzfKiBfakHXxvyMEAO8PuCWu40Pf0m6CV91LEouXoJoNwZqFwoB4HRvCD/96hFoDPjn65vGCG6rwjkHf+SfAQCX730nPn5JTD796H1DRoZgTShHYbEAXnRukTZyCgutJxTyuP3osXITdgU86PDt4XdNEERbQVeyTQpTFyR2zccJKWiEo5btV80AG1Y5he4KTUKZLYxkhP1+2iKyRLm89jR2DNQ0egwA/SHxVNN4Gd95rhO/902TON1LLsKmQgmFyU3wsvMFpsqmXDuA0WO+VUORCQmFxH5ROYWL7oTCnpAXXQEPdA7c3Gy98WP+tBg7xi13gQXFeTxX0vHojSQAGjsmiLbEGD2uTSgEgFeORfGv7xGFKH/z3Bq+Mu1uE7opuTkFzM0g5+/AH+WOgUM0xN83tkcXdjAEqOITN+PHrVxoIh2FVqPHS0kqMiEIwj0kFDYr/S4uSDblrmSz5hMqlKPQ5egxNjdwIrUAALi+UX30bX0/RSaAKdAkN12NibxrVMNbFx7Hbz33J/ieu4fhIxdh8xHtFHmZnJsZgTb0K0fhAY4eM4siEwCISydjDzUeE/uEDQuh0K2jkDFmuApbMafQGDu+yxw7fnw2iWxJx2DEh/MDtAlEEO3GXkaPK3nH2W5823lxvf6Hjy/hJdme3mrwR0WJyd/c+/1YTJfRG/Lih6RIuheYpolSKQBIuxcKt1pMKOR6WbRIA5ajx0Y+IRWZEAThAlIrmhSmmo9tHIU80dz5hAo2fEy84dLNgq0NnEiKLK0pi9ZNUyjco4iisuHKJTHi7cAxnsaPvPxRnGIpkflFNB1M85gC8WbC8fiDdBQaQqWLjMIeyigk9otyFC7Nu87POi4LTWYsNmuaFb66BMzNAJoGdse9xsfV2PEbj3dBo3M8QbQf6ro8se5qBLYa339XPx4Yj6Kkc/zGw3OYazFHNi8WwL/+FbwQO4lP+44DAH78gWFE/Pscg1Xjxy6uxztb1VG4lQDKZUDTgFj1dd9SSjwuKZ+QIAg3kFDYrMiMQqwugesWGVCbIveDNXM+ISAWqYwJ917SeRyDbyVwIiWEwuvx6hdZaxk1erw3EYX5fECHvDBxM36ckvc7WmObG9FYdMXE//K5ZYfKKEzmy3XPaePqMWc3ekwZhUS9GBgWbtps2nXcwvEWdRQqNyHO3AoWEefz1XQRzy8J988bTtA5niDakkinGIPlHFhb2dNNaIzhPzw4jLN9IaQKOv7Ll+eQyB7AZuMRwZ/+GjL5Iv7owv8DAHjbqRjuGg7v/4Y7am8+bjVHoWo8RqxHbGxXYSkp1j7DUXIUEgThDAmFzUpPP+DxiLKShIVooUoXLHaWmgUWCAC9A+IdN+PHm6ZQuJIuVt01rEvRg3JzuSg0MQTOCGVXNTVSdOcuCk3CPg0hWWhQ90IT+XhidmUm5Cgk6gTz+YE+eQ52OX6sHIXTG3noLdTiyZ9WY8f3Gx/78vQmOIBbBzswSCNdBNGWMMaMnEKs2uSHOxDwavjF141iKOLDSrqIX//KXEuUQvFiEfwT/wf/++Q7sebvwmDEhx+4u3qWXs10iOJC7qL5uGUzCh0ajwHTUThEjkKCIFxAQmGTwjweUzyzuCDhKqui2R2FADBcQ/Px1gbCpRwGNeFkmaoy+rbv0WPAaJzlbhw2yS0AACNHYVPDamg+ZoyhLyzHj9N1dgQocdoio1DnHBtUZkLUEzl+zF1GQIx2+uHTGLIlHcupA8jpPAL45gYwdQUAwO4UQiHnHF82xo7p/E4Qbc2Ayg9f3tfNdAW9+M9vGEc04MHV9Rx+99EFlPXm3nDhX/4UnitF8IWR+wAAP3H/cP2ad5Wj0IVQ2NmqGYVx+yKTYpkbUThD5CgkCMIFJBQ2M6rQxCqnUIoZrNnLTACwEdV87CwUKuHuREBcBFyvklO4lt3f6DGA2pqPjUw5chQ2NTUIhQDQL4Xotbo7ChPif4vR481cGToHNAbEgiQUEvtHFZq4dRR6NYZTvcJV+NJKa4Ty82e/LsYKj58B6xGujctrWSwkiwh6GR48RkIhQbQzZqHJ3h2FipFOP37xtaPwaQxfn0vhyQXn/L1GhSc3wT/19/jC8CsBiJHjWwc76nb7rMN9RqHhKCy0llBoOAp7qjsKV9NF6Bzwexi6g3USaAmCaGlIKGxijEITq4a1zdYoMwEAyEITV83H8uc+2Ske3jsLTbJFHemCGOPYj1DIXAqF+te/Av7lfxLv9O292Y1oAORzibvIKARwII5CXiwAWSm8WJSZKMdsV9ALj0bFCkQdGKqt+RgAbh0QC8EXWqS9s+rY8ZRwiz94LIqQjy6pCKKt6VOOwr01H+/k/EAHXiedytfWm7cYiv/jh1DM5fFM33kAwJtO1nnTPCRGj2txFLba6LFyFKK7uqOwcuyYShUJgnADXdU2M/3WzcecczO7sAVGjw1HoavR4wQA4GSPWKTuLDRZl+6usE/b39iDEgqVu2sHvFSC/vd/Dv5nvwsUCsCFu8Be9ea9fz/iyKll9BgwR9vrmlGo8i49XnPcZgdx5ZilfEKiTrDBUfHG0rzrr1GOkReXM67bkhsVnkkBV54HYAqF+ZKOr94QQuEbjpNbnCDaHWMDf+oKuIyc2S+TMVEMdSPRnMVQfP4G+Fc+h4ux48hoAXQFPTgt3eZ1o5YykxYdPUZclJkwC0fhoiwyobFjgiDcQkJhE6NGHKruXGbTQFHsHqEFRo+hxt424+Bp69ECzrkhFB4fFgu3hWQBmaJ5QbBWrzZYKRRWyyjkWwnov//L4F/4BACAfdN3QPt3vwwWDO3vexJHixLd3Y4ey+bjtXQdhUL1eIt2We4KK0dhD+UTEvVCnYPjq+B5dwvW8/0heDVxzm32nEL+/DeAchkYHgeT7sqvz6WQKeoYCHvrOkZHEESTcvoCMDQKpLag/+Uf1mWDZKKJhULOOfQP/znAdTx57o0AgHtHI9Dq7WjrIEeh0+jxMhWZEARRIyQUNjMVo8e7LkaUm7AjIhormxwW7DBf/OzGjzMpoCxEklhfjyEGTm+YF1jKUdi7nyITAMxoPU5s+ziffhn6r/8k8PKLQCAE7d/+PLT3vBdMo0yQpqfCUehmAdAnH3+rmTqWmShHoU3jcVwVmZCjkKgXkU4gHBUZfSsLrr4k4NVwpldsjjT7+DF/5nEAALvrAeNjX5IlJm840VX/hS9BEE0H8/mh/fDPAF4v8NwT4F/61L5vUwmFy6kics3WfvzCk8DFZ8G9Xnyj6zQA4JWjkfp/H+korKX1uFDmLdEmDQC8VDTXIhatx0tys24o0vxrQoIgDgcSCpsZlXeXTQOp5PbPtVI+oWJINh/bCYXq5+6IgPl8ONkjxhsqcwrX6+worBQK9a9+Hvpv/7zY2RsahfaLHwS7+8H9fR+icVDPp1LR1c51paOwXqOXXDUeWxSZAKZQSI5Col4wxoRTBjXmFFaMHx8mG9lS3RbVvJAHXnwaAMDuEo2d65kinlsS5wAaOyYIQsGOnQD7jh8EAPCP/AX4zev7ur2uoBexoAccwOxm87gKeakE/cP/CwAw+4bvxkqOw+9huGO4emTKfmA1jB6HvBo8cl+nZcaPN9bFJp7XZ1mauKRGj8lRSBCES0gobGKYPwDEesU7OxrWuHIUtsLYscRVTqES7aSIcrJbCIWVzcdq9LivXkJhMgFeLEL/6/8O/lf/DSiVgDvvg/YLvws2PL6/70E0FMznN7NwtpzHj5UYnS9zJAt12rmWj3Fm06BtjB6To5CoI2rkFou1C4UvrBxeTuFGtoR/84nr+Dcfv44n5+vQFHrpOaCQF672iVMAgIemt6Bz4EJ/CMOU+UQQRAXsje8A7nglUCpB/9MPguey+7q9Y004fswf+jSwPA9Eu/CN068FANwx1IGg9wCWniF5XWYTTaRgjJnNxy0jFJpjx9UiaTjnZpkJvV4RBOESEgqbHTl+zHcWmshWVtYCRSYGw8pReNPyEL7DSXmiR1xcTVUUmqzVafTYEAoLBegf+Dnwhz8HMAb2bd8L7d/+R7AQZVa1JOo5lXBuPvZ7NHQFxQVp3XIKVXmOReMxUDF6vN/HOEFUonIKa3AUnusLwasxrGdKxujTQXNxJYNCmWMzX8avPTSHP35iaV8jZvwZ2XZ85/1gjIFzbowd1729kyCIpocxBu0HfkJs5i/Pg//tn+7r9tT48UyTCIU8tQX+yb8DgP+/vTsPj+ysz7x/P1Wl0r7vS3er97Zxu73b2AZsg4FgE2xCCGELexJDMkkmIUwgmThvHEImCZOVYTIGwgCTGIIxGGwwNrHBNhi8YLeX3tWbpNa+LyXVed4/zjklqVtLVal2fT/XxdUqlarqyOhIVXf9Fplb3qEnzrjHfUVHZXoeMIGKQmnRnMJIYQSF1ltkslLb8chMVLNRq4CRmsp5XgggPgSFec5faKKzF5oUckXhaq3HfrWVX1HotR6fHJuNvVAcTFFFoSkukYq9zW3HD0tl5Qr81p8ocNNbZQKcWgXLX2KT4ObjgVRtPj6ranY5Q95jUVGIVPIrChNpPXbnFLq/JzM1p9CvIPd/x993aES/d1/XkhEU8bLRqOzPn5AkmYvctuODgzM6NRZROGh09eY0vfAFkNdMRZUCH/ivkgnIPvagnJ88nPR95dvmY/utf3Nnhnd0avjS63Vo0P3de1k65hNKC0Hh1GRclesFV1E45FYUrrTxuHfcrSZsKAupKMg8XQDxSUua0dfXp8985jP68Ic/rHe84x36rd/6Ld11112an0/hQH+4YkHh2RWFBTij0G/jHRqQnV7hBedZIUpdaUjVJUE5duGdWH+ZSUMqqq1qvdbvjk4FPv63MnsvXf99IqeZBDcfxxaaTKbm95/1l5ms0Ho8O+/E2pxZZoKU8luPz5yWdeKv0Mv0nMIj3vKqX76gXrffsEm1pSGdGovoD77bpa+/MCgnkRboIy+6M4DLKqSdL5Mk/cCrJrx6U6XKilhSBWB5ZvcFMje9VZJkv/TP53b/xMmvKDyRB0Gh7Tnpth1LCrz1/Xqyx2273llfkr43L/2tx9F5KRJZ88v9oLBwZhR6rce1jcte3eNV8zezyARAAtISFHZ3d8taqw996EP627/9W/3ar/2aHnjgAX3lK19Jx8NtbE1tks5tPfZnFJpCqigsr1wIPleqaDkrIDXGxOYUHh2aWRqipGDRQ+Dtv+G2Gn/sr2T8LdQobDXez2AcMwqlRQtNUlZR6IYUZoWtx8Ne23E4aFQeprIVKdTQLAVD7gsx/4VJHPb6cwrPpH9OobU2VlG4va5EF7WW6+/f0KmrNlVo3pH+9el+/fcHT8Z9PtqnfyJJMvsulwmFFIk6euT4mCTpBtqOAazB3Pwr0s7zpZlpOf/7f7gbahO0qbpYRm4L6ehMbhddOF/9vOQ40r4rZM7bpydOuXMD07Lt2FdcIvmdPNNrzymsKrCKQutVFKp+pY3H3nxCFpkASEBaXkVedNFFuu2227Rv3z41Nzfrsssu0xvf+EY98cQT6Xi4Dc00rdB67M0oVCHNKJQW5hSusNDE+vPbqhYqKbfVLSw08duOS0IBlRWt/8ffnLfPbTX2W5BR+PyweiSxisKBFFUUxmYUrtB6PDi9sMhkuaHWQLJMMBibi5vIQpPd3pzCoel59Yynd07hwNS8xmejCpqFKpyqkpA+9op2ffjKFhUHjZ49M6X/8u1jetQL/FZirV0yn1CSfnpqQpMRRw1loVgACgArMcGg24JcViEdPyx795cSvo+SUEDNXsiTy+3Hzv6npOd+JgVDCvzy+zQ778S2w1/Rkb6g0Biz0H48ufacwspwYQWFsdbjFSoKz/gbj1lkAiABGetLm5qaUkXF6n8k5ubmNDe38CLCGKPS0tLYx4XG/57W9b35L9rGRqTZGZmSUrdiw6usMzV1BfXfzrRtln3pWann5PLf1+iI+3XVNbHr/TmFR4dnYyFKQ1lIAeYI5p2UnDPrPYbqOllJGhuO6ziavFaPgam5dR+3dRxp3K8orF32/hYvMimkcx/JSfU5Y1o7ZHtOSmdOxz1qoaQoqN0NpXq+b0r7+6bUXl2ckmNZzlGv7XhzTbGKQwttwcYYvW5nrS5oLtPf/Khbh4dm9Fc/6taruyf1wcubl28hPtUlDfZJRWGZCy6RMSa2xOSGbdUK8jekIOXC3xkUFlPfJL33t+X801/Ifu9u2fP3KXBBYqNqOmuL1TsxpxOjEe1rTWN1XhKMMbLReTl33elevuEmBVra9fOT44pErZrKi9RZW5Lec6q0QpoYl5meXPNxqkrcl79js9HCOM+9ZSamvnHZ78dfJNZaGS6M77cA8HcG+SAjQWFvb6/uu+8+vetd71r16+6++2597Wtfi13eunWrPvWpT6mxcfl3SApFS0vLum5/uqpaztioGuy8wq2tciYndDrivlhq2X2+AiWFU+02secCDT90r4qH+tTYem6r7+mJUTmSGrfvVNi7/qrSGumHp3V8ZFbTQbcCpK22XK3L3B75Yb3nzHrMbNuhfknByfG4foZ2O2WSTmto1ln3z1x0bETd3my41p27ZYrObSOZP+U+Ieyor+RnHDGpOmdGduzR+FOPq3RsSHUJ/HxdvWNaz/d16fCY1XvS+HPZe8Sdh3VBe92yP/+trdL/3bFZ//LYMX3+x8f14NFRPdc3ozdd2KqbXtaq9prS2NeO/uBbGpNUeunL1dC5VQMTs3qq50VJ0q9ctVOttVQUFrJs/p1BAWp9s4a7Dmni21+VvvD3avqHryi4wvKJ5ZzfMa0fn5xQXySQk3/bx+/9qtR9QoGqarW+/78oUFml/T8fkSRdv7tZbW1taX383uoazfX3qLakWKVr/PfpGLCS+hQxoZz8b5kIZ2Zap6fcduuW8y5QoPzcELlv6rAk6YLOVrW2VGX0+LA6/s4glyUUFH75y1/WPffcs+rXfPrTn1Z7e3vs8tDQkO644w69/OUv12te85pVb3vrrbfq5ptvjl32U/b+/v6CXIRijFFLS4t6e3vXNbfJqW+WxkbV/8JzCpRWutUeklRarjPD8bVH5gtb7v6Bmzl2SD09Z81ldKJyvErKgUhUxrs+YK3KiwKanHP0gxdPS5IqQ845t0fuS9U5sx523n3c+cG+uH6GAjNucNc3PqtTp7sVDCT/7qHtPuF+UFah3oHlZ8QdO+OOHSjVHD/jSPk541TUSJKmjh7SbAI/X51lbsD9065BdXd3p+1d9GePu5UVbaWr/46/ZUeZdlZt0acf7VbfxKz+5bEu/ctjXdrbXKbXbK/R1ZsrFXzkAUnS7HkXqaenR3e/MCjHSnsaS1U0M6qentG0fA/Irlz4O4PCZG/6FemZn8o53aWev/iYAr97u0yclckNIfe5xIvdw7n3t31qUs6X/5f78Rt/VWcmJuWMT+jhQ32SpPNrTdqPOVrkVqoPnT6pwBqPZWfcYG1gbCr3/lsmKPaar6RUZ8bGpbHxJddPzUU15M3kDc2Oqadn7dZspB9/Z5AtoVAo7iK8hILCN77xjbruuutW/Zrm5ubYx0NDQ7r99tu1e/dufehDH1rz/ouKilS0TIWMpII+iay16/r+TGOr7LGDsn3uEhk7POheUVNXcP/drL/5eLBPzsz0ktmAdnzMHaBsjGxFlbToe99WV6LnzkzpqW73D2R9aajg/ttsJOs9Z9b12P5swKlJObMzMuHV2yiri4MKGilqpeHpOdWvY9u2jW31rl7x+/efENbxM45FUnbOtLhvBNrTx+U4TtyB366GEhV5cwpPj0XUXpWeWUn+IpNttSVrfr/nN5bqH2/eqp+cmtCDR0b0894pPXfG/d//+ol0TekluqHa6rwLLpPjOHrwyIgk6dXbVj7/UDiy+XcGBaoorMCv/4GcP/9d2RefkXP/1xX4hV+K66abq93fmSdGZhV1HAVyqGXR+fZdsmOjUtsm6RWvk7VWBwemNTITVWkooJc1lqV/kVWZW+FtpybWfKwKb9Hb+Gw0789x67Udq7Zh2e+ld9xdZFIZDqi8KJD332+h4e8McllCQWFVVZWqquIrWfZDwq1bt+q2225jHlw6nbXQxJ61+beQmMpqqaJKmhiTek9LW7YvXOlvoa2ocofuL7LdCwpn5t2qloZ1hDXY4MrKpVCRND/nzgJtXL1tIBgwqisNqX9qXv2T8+sMCr0KpsqVt636C3vqSjM2ghYbSdsWd7vk+Ki7+bguvnclw8GAdjeWav+ZKT13ZjItQeHg1JyGZ6IKGGlrbXxzEItDAb2ys0qv7KxS/+ScfnB0VA8eHVXvxJy+33alvt92pdofHtQlrTM6MRpROGh0zebKlB87gI3BtG6SeduHZL/4j7L3fFn2Va+TKVt75mBbZVihgNHMvFX/5JyaK3JjMYW1VvanP5QkBW55V+z5t7/t+JK2chUF0x9qmrIKd3705Npbjyu9rcdjBbDMZGHj8fJ/i/35hCwyAZCotKR3Q0ND+tM//VM1NDTo3e9+t8bGxjQyMqKRkZF0PBy8oML6m4+9jcempsA2HvvavM3HPSeWfj5WbVVzzk22nfWisb6MEAXJMcYshPD+z9waGsvdcHBgap0bX1f5GfctLDPhZxypZ4qLpfYt7oVjhxK67d4mt+Jj/5mpVB+WJOnokDubt6MqrOJQ4k9vGsuL9Na9DfrML27T/zdwv67v+alKjKPTYxF964D7RtRVHZUqDy+z+AQA4mSuvVGqbZCi83FvkA8GjDZ5VYVdubT5uL/XXaYRCsm87OLYp3/qBYXp3Ha8RKm39Xh67dbaKu93+NSco3knz6u5/EUmtcvPu/QrCv2t2QAQr7S8knz22WfV29ur3t5e/cZv/MaS6+666650POSGZppa3XfR+rw5GyOFW1Eoue/G2oPPS90nl3zeehuPlwtR/M3HvgZCFKxHTZ27DdUL5dfiVrBOq39ynUHh+IgkyVTWLHu1tZagEGlntu6SPXlM9thBmUuvjvt2FzSXSc+5QaG1NuVzCo8Me23Hdetb4GUmxvSy5/9TL7OOPvTOG/XYZIkePDKq7vGIbjm/QN+AA5AxxhipuU0aHpA9c1pm+564breluljHhmd1fGRWV3bkRmWzPfCcJCm8+wI5xe7Ih97xiI6PzipgpEvbMhQUlnlB4dTaQWF5OCgjyUqamI2qJp87MPyKwhUW48QqCnOkAhVA/kjLb8brrrtuzVmGSKFGb2PX0IDs/NxCeFGoFYWtmyUtGuDr81qPzTIBaWtlWCUht2VD0rraPwE/jLajw4on6mgod3/VDkytcynTGhWFExFHkaj7M16bz098kds6d0qPfFe2K7GKQn9O4fBMVKfHIuqojq89OF5HvfmEZ78xlCj77E8l60ibtqqspUWvkfSa7TXrP0AA8JjmNtmXnpXOxL9MY0uN+zvzRC5VFL7kBoUley+TXyv+09NuNeH5TWWxNt+089q3bRxBYTBgVBEOaDziaCzPg0I77AWFtSu0HnsVha2VvO4BkBgGBxaCqhqpuMR9YTPQJ+sHhdWFGRQar/X47IrChRDl3KAwGDDaWuu+eCwOmtggYyAZxj+3/Hmga/BnYq63otCOrz6jcNBrba4sDioc5Gcc6WG27nI/6Dos68Q/4ykcDGhPY6kk6bk0tB8fTlVQ+PSPJUnm4pev+5gAYFlNbe6/Z07HfZPNXlB4PEeCQmut7IFnJUnFF14W+7w/n/CK9gxVE0oLFYVxtB5LC3MKx/N9TqFXUWioKASQYrySLADGmIWFCv090og3o7BAg0L5m4/7e2XnIguf90ObFaqt/Ha0+rKilLe8YYPxq1bjDAobU1VR6AWFpmr5oDDWdpzH744jD7Rtct+cmp2WeuJ/kSt57ceS9velNigcmZmPLfKJd5HJcuzsjPTCM5Ikc/GVqTg0ADiHafY2yPd1x30bv6Lw9FhEc9EcmK3Xe9p9HhQqUvF5eyVJE5Gonvd+v1+ewaDQ+EFhHMtMJKmy2H2eNBbJ36DQWusuFZOWXSwWdWzsDWpmFAJIFEFhofAXmvT1LoQXNYU5o1DVte47h9ZZ8k6s9SsKq2uWvdmuejcobOGPJdbLCwptghWFA+udUbhG67EfFLLxGOlkAsHYxnnbdTCh2y5eaGJt6l7o+m3HbZVhlRWto9Xt+aekuYjU0Cy1d6bm4ADgbM3e2KC+nrh/FzaUhVReFFDUSqfHsl9VaF9yqwnNjvNkwm6I+VT3pKLWXSrVlobt9itKYJmJJFUVuy+B87qicGpCmnX/9qm2/pyr+yfnFLVSUcAwtxpAwggKC4Rp8p5wnDyy8EejQCsKjTGxqkK7eFucF6KYZVqPJenaLVV67yWNet+lTek+RBS42BzMOJeZ+FuPR2ejikSd5B94zG89rln26iGvoqqOJ4RIM9PptR8fSywo3NVQonDQaGQmqlNjkbVvsIg9eUzRP/qQnLu/JOssPY+OeEHhjnW3Hf9EkmQuvorKcwDp09AsBQLuc/Y4n0sYY3Kq/dhvOzZ7Lox9LuPbjn0JLDORFlqPx/I5KPQXmVRUxYLaxV7on5bkVhMG+HsGIEEEhYXCW2hiD73oXi4tkyle3wumXGba3IUmS+YUrtF6HAoY3XJevTaleIA+NqDYjMKRuL68IhxQcdB9kjaYZPuxnZ11Wz2llWcUUlGIDDFbd0qS7LHEFpoUBQPa0+DOKdyf4JxC+9Rj7siJ79wl5zN/6bYJe44MuS+at9Wto+14fl722SckSeaiq5K+HwBYiwkVuWGhJJ1JvP0420GhdRzpwH5Jktntth3PO1ZPdmc/KIynQrMyXAAzClfZeBx1rL66373+VZ1VmTwqAAWCoLBAGH9GoT/rZJnNvwUlVlF4wv13fl6aHHevK/TvHdnn/4yNjcS1zMEYo4bydS40GR9x/w0VSaVly36JH0LSYoK08xeanO6SjST2gtWfU5joQhPbfWLhwjM/lvNXH5P1XigdHU7BIpNDz7vVKJXV0o49yd8PAMTDW2hi8zAoVPdxaWJMChdL3htHz/dNaXLOUXVxULvqSzN7PN7WY1ln4U3VVVR5MwrzOSi0w/3uB7XnBoX/eWxU3eNzqiwO6uY9vC4CkDiCwkLhtx77CrTt2Gdaz9p8PDEqWeu2cZRXZu/AsDFUVkvGuE9Ix8fiuklj2ToXmvgbj6uqV2yJXFhmwhxOpFldo3seRKPSyWMJ3XRvc5JzCr3f9+aNv+o+9omjcj75+xo7fEhnvM2O29YRFMa2He+7wp3DCABpZJr9zceJB4UnRrNcUfjSc+4HO893qyMlPXHKfcP+svYKBQMZbnUtCksh703SONqPC6n1+OyNx/OO1b/vH5Qkvfm8uvXN7QWwYREUFoq6Bim4UEVUsBuPfW1eUNjX7VYT+i2glTUyAX6skV4mGFxo/413ocl6KwrXmE9orVWfd99UFCLdjDGxqkKb4JzCnfXunMLR2ahOxjmn0M7PxSrmzbU3KvBHfy21bZZGhnTkc/8iyV1UVRFO7gWRtVb2GW8+IW3HADKh2a8ojH97/BZvfE7f5Lym5rIXctkDblBodrvzCa21esKbT3h5ptuO5f1N8heaTK29+biyEJaZDHkVhWdtPH7wyKjOTMypuiSoN+ymmhBAckhUCoQJBKX6RUs6ago8KKxtkIpL3WqW/p6FbbArbDwGUi620CS+oLDR33w8lVxQaMdWn8E5ND2v8dmoAkbqqM7gpkFsWP6cQiUzp7DRbUt7rjfO9uMzPZLjuG33tfUyDc0KfOyvpAsu1dESd87X1tmB5DcpHz8sDQ9IxSXSeReu/fUAsE6xisK+nrhvU1EcVL03hzhb7cfWiS7MJ9zjzic8OjipMxNzKgoYXdRSnpXjirUfx1FRGGs9juRvUGiHvRmFi1qP56KO7vJmE77lZfUqCfFSH0By+O1RSBa3Hxf4nD5jzEJVYffJNUMUIOW8c8zGua2wodx9Uto/ub7WY7PCIpNjw+4Lho6qsMJBfrUj/czW3ZIk25VYRaG0qP24L76gMDafsHVTrPXelJYp8JFP6OiOKyRJ2w88Kvv5v5OdSzyM97cd62WXLLs9EgBSzptRqP6euOYd+7I+p/DkMWl60n3jZvN2SdIjh91w6sKWMpUWZek5SAKbj/3W4/yuKPRbjxcqCr93eFQDU/OqKw3p9TtrsnRgAAoBryYLSGyhiVT4FYVamFNoe07EqrpMVWEHpMgdJsGKwoZ1VhTGqmZXCMP9ZQ5bawt32zlyTOcO99++Hll/mVSc9jYlOKfQW1wVm0/rMcGgjla4L7a3TfbIPv6QnE//sWycs0N99hlvPuHFtB0DyJC6BndB2fy8NNgf9802+3MKs1VRGJtP+DJ3FIukH3pBYca3HS/mBYU2gaBwIhKVk2wlehZZx5GG3TmE/tbj2XlHX33e/dwvX1DPm8YA1oXfIIWkaSEoLPgZhdKSikJaj5Fx/jkW94zChYrCpNoj/WUma1QUbq2lGgqZYcorFypiEmw/3lFfquKg0dhsVCdG45hT6C+ualsaFE7NRdU97obvO3717W6Fy6EX5Hzy92VPH4/rWOyZbqn7hBQMyuy9LKHvAwCSZQJByX+TP482H9uXnpUkmd1u2/Hw9Lz297hvzlzenr2g0Pitx9NxBIXePFvHSpMRJ52HlR7jo1J03l2s5z0fvf/QiIan59VQFtKN25d/rggA8SIoLCCmsW3hwoaqKDy5ZrUVkHKx1uPEZhTOzDuanEv8SaldtPV4OV1UFCIL/DmFibYfFwWNzvPmFO4/s3b7se3xNh63bl7y+aND7gvlxrKQqvdd7M4tbGiW+nvl3P7bin7mk7JHXlr9vr1qQu26QKY8i9UwADae5nZJku2LPyjsXBQUJj2XNUl2fl469IIkyexx57n+9PSErKQddSWq957rZIW/zGRy7WUmRUGj0lAeLzTxF5lU18mEQpqZd/QfL7jVhL+yt0FFVBMCWCd+ixSSRRWFhT6jUJLkt6D1npb1y+9pPUaGLLQexzejsDgUiLW6DCSz+dgLw80yYfjUXFQ9XlUVFYXIqNjm48QqCiXpAm9O4XNrBIV2fn6h2qZtaVB4ZMgNyLfVuQG5advsbkS+6ErJWumpx+X85UcV/cuPyj712LJzwOzTftvxyxP+HgBgPUyzN188gYrC9qqwAkYajzganslwyHX8sDQ7LZVXSh2dkqQfn3CrCbPadiwtzCiMo6JQWmg/HsvLoNBbZOK1HX/7wLBGZ6JqqSjSDduoJgSwfgSFhaSpTdpxnrTvCpmS0mwfTfrVN0nhsDQ/J504LGlReAOkm/+z5lezxqGhzG0/HphKYqGJ/ziVNedcdXxkVlZSXWlI1SWhxO8bSJLp9DcfH0y4suWCRQtNVp0R1d/jtlgVl8ZeFPmOekHh9rqFSlpTWa3ghz+uwO3/KHPtjVIoJB15Sc5n/lLOJ35TzkP3ys66t7Ojw9LRA+7t9l2R0PEDwLolUVFYHAqotTIsKfPtx37bsXa9TCYQUPdYRE92u8HctVuqMnos50hgmYmU3wtN7LBbUWhqGzQ1F9Xdi6oJQwGTzUMDUCB4RVlATDCo4B9+KtuHkTEmEJBaNkknjkgRb8YVrcfIlNiMwiFZa2ObWFfTWF6kY8Oz6k+wotA6UWnCWxaxzIxC5hMiazZvk4JBd17SUL/7Bk6cdtS5cwrHZ6M6MTKrzpXa5v35hK0d55xnh5cJCn2mbbPMr/2W7C3vlH3o27IP3yf198r+v/8te89XZK77Bako7FYedu6UOSuEBIB0M81tslJCFYWSO6fw9FhEx0dmdHFreVqObTn2gLvIxG87/taBIVlJ12yrV0d1ccZboZfwZhTGs8xEWhQURvIvKFxcUXjvS8MajzhqqwzrVZ1ZDmsBFAwqCpHXzFmD7Wk9Rsb4P2uRiDS99ow1aR0VhRPjkvXmGi4TFHbFgkLmEyKzTFFY6tjqXjiWxJzCpoWqwpXYFTYez8w7Oj3mvkm0XFAYO8bqWgVufacCn7pT5u2/7i4PmJqQ/c5XZe/5svs1bDsGkA3+QqiBPtn5+N9EzMZCEzs3Jx15UZJkdl+oidmoHjzizk/+1Us3rXbTzEiw9bgqjysK/aBwsqZJ33jJHYHzqxc2KEg1IYAUIShEflv8wjEUWniSAKSZKS52N6xKcW8+9heaJDyj0F9kUlEpEwyec/XR2CITKgqRebGFJknMKdzbFMecQr+isH3pfMJjwzOykmpLQ6otXbtBwhSXKHD9TQr8+WcU+M3/Jm3f414RDMpcwnxCAFlQXeuOVbCO1H8m7pttqfaDwji2xqfKsQPum6OV1VLbJn3v8Ihmo1Zbaop1xZbsv1FvElhmIuX3jELrLTP5pu3QZMTR5uqwrtlcmeWjAlBIaD1GXjNtmxRrcqiqiav9E0iZ6lq3mnBsWGrtWPPLG8rdoLB/KsGgcJX5hFHHxioKqChEVnTuknRfwpuPpYU5hc+fcecUBpb5HW67l68o9BeZ7KhLLCA3gaB0ycsVvOTlsl2HJCuZlrXPXwBINWOM1NwqnTgqnTkd13MJaaGi8OTorKKOzUglmX1poe04aqV7D7pvkr7pvLrceP6daEVhOI8rCocHNB4q07eG3Zn0b6OaEECKUVGI/Na6qMKEtmNkmjen0I7Et/m4McnWY+sHhcvM4OwejygStSoJGbVUFCV0v0Aq+BWF6josG03sBdeO+hKVhIzGI45OLNNCZ6NR98WztLSCXNKRIffrt63SdrwW07lz4fgBIAtMEgtNmiuKFA4aRaJWvRMJvvmYJH8+oXbv1WMnxjU4Na/qkqBemStz8ZJcZpJvFYV2fl4aHdY3Nr9K01G3m+Tlm6gmBJBaBIXIbw3NUsgLR9h4jAwzfnAXZ+uxX1E4ODW3+pbXs3mtx2aVRSZbakp4NxnZ0dIulZRKkVmp52RCNw0FjM5vdKsKf3Bs7Nwv6O+R5uelcPE5i1JiG4+ppAWQz5pa3X8TWGgSDBhtirUfz6TjqJawkVnp6EvuhV0X6JveXLw37KxVOJgjLyf9oHBmStZx1vzyha3HCc6NzrbRIY2EyvWd9mskubMJl6vGB4D1yJHf7EByTDDovkjVotAGyBR/8/FYfEFhXWlIASPNO9LITALvYK9SUXiM+YTIMhMISlt2SJJsggtNJOmm3e6bPPceGNaZibPmbcU2Hm9yN917ZucdnRh1Q/Lt9QSFAPKYX1GYxOZjSTqRiTmFR15y37SpqddLwVodGpxRUcDo9btq0v/Y8Sp1tx7LWmlm7SVzC8tM1g4Vc8rQgO7efJ1mg2HtrC/RFe0V2T4iAAWIoBB5Lza3iqAQmVbjVbHGWVEYDJjY0oWEFpr4y0xWqSgkKEQ2ma273A+6El9ocmlbuS5sKdO8Y/WlZwaWXGe9CsWz5xMeH5mVY6Xq4qDq41hkAgC5yiRRUShJnV5Q2JWBzccL8wn36psvjUiSXrW1SjUlufP71xQVSeGweyGOhSax1uNIfrUeD/YN6rtt7gKut1/YkBvzIQEUHIJC5D3z6jdKey+TufK6bB8KNhqv3d3GGRRKUkNZ4gtNrB8UVi0XFPoVhVRVIXsWNh8nXlFojNF7L26SkfTI8TEdHJheuNKvKGxbfpHJtroSXiQByG9eZ4xGBmVn428j9isKj2ciKDzwrCTpzLaL9JNT45KkX9xTl/bHTZhfVRjHQpOFisKobCLjYLLsod6oIsEi7XGGdHFrebYPB0CBIihE3jPb9yj4238iE+emOCBVjL9AJ85lJpLUWO5XFCYwE8drPT67vX54el4jM1EFzEJlAZAVnV5F4enjsrOJv2jdVlei67e5Qfjnn+qLvWiLbTxu27zk6/2gcPs6FpkAQC4w5ZVShbeMoq8n7ttt9v7u905ENDufvvZZOzMdqxb/TtFWOVa6qKUsFlTmlAQWmvgVhfOO1XQa//ulkrVWvX3um9OXVMzzRhmAtCEoBIBkxWYUjsR9k2QqCmP3X1mz5NN+NWFrZVjFIX6dI4tq693zwXGkk0eSuot37mtQOGj0Qv+0fnxyQtaJSr2n3CvPaj0+OuwHhTn4QhUAEtXU5v6bwObj2pKgKouDcqx0aiyNcwoPvyBFo5pq7NADp93nLjlZTSglFBQWB42KvCVw4/my+fjIixqcd5/v1e/eleWDAVDIeGUJAMnyZxROjsvOxRf8JVVRuMKMQuYTIlcYY6RY+3Hicwolqb6sSLec5774/Ndn+jTX1yvNz0lFYalhYePxXNTGWu2oKARQCEyzGxTa3tPx38aYjLQf25fctuMH97xW0/OOOqrCurgtR1tey9zWYxtH67ExJu8WmtgH79VgsftcsKG2MstHA6CQERQCQLLKKqSQN8g7zs3HfkXhQJwVhXZmWop4LwDOaj1mPiFyiel0g0IlMafQd+v5daopCapnfE73P9/nfrKl3d2s7DkxOqt5R6oIB9RUXrSeQwaA3BCrKIy/9ViStlS7yzvSGxQ+p6iMvl3sbrf/xT11CuRoy6spjb+iUFq00GQ2gTdvs8QODcg+9VgsKKwvy51FMgAKD0EhACTJGCNVJbb5OBYUxrv12L/fcFgqXhoI+hWF26goRA7wNx/bJDYf+8qKgnrHvkZJ0r+fKdJEqHTF+YQsMgFQMJrdhSb2TPwVhZK0pcZ9XpCuoNBOTUgnjuqJhpepbz6kyuKgrttalZbHSolY6/HaW4+lhaAwH1qP7cP3adqENBUqlURQCCC9CAoBYD2qEwsK/dbj4Zmo5qJxtLr484oaW5eEIrPzjrrH3ZlEnVQUIhd0utUm6u+VHR9L+m5eva1am6vDmrAhfW3LDefOJ/QXmfBzD6BAmOZW94Mz8c8olDKw+fjg85J19M1tr5EkvX5HTW7PRE5gRqG0KCiM5HZQaCOzso/cr6GwW01YGgqorCi4xq0AIHk5/JseAPKAt9DEjsa3+biqOKhw0A38BqfWbnWxPe4yB9OydKv38ZFZOVaqLgmqtoQni8g+U1YhtbhVMVpHVWEwYPTeS9yZhN9pv0ZnGjqXXH+YjccACo3fejwxJjsZXzWcJG2ucVuPh6bn01IVZw88p0OVm3SgrE2hgPSG3bUpf4yUSjAorMqTikL70x9KE+MaanAr7KkmBJBuBIUAsA6musb9IM6KQmOMGrwneANxBIULW1+XBoULi0xov0TuMJ1e+/E65hRK0kXNpdo3cljzgZD+79jCds15x6prmEUmAAqLKSmNvfGYyObjsqKgmrxOhRNpqCq0Lz2rb3W8QpJ07ZYq1ZXmeEDlzSiMZ5mJJFWG/RmFuRsUWmtlH/yWJGlw3zWSCAoBpB9BIQCsh//EPs6gUFqYU9gfx5xCv6JQLWcHhd6cNuYTIpf4m4/XUVEoSWaoX+8+9C0Z6+jRvnm91D8tSTo1Oqs5x6o0FFBLJYtMABQQf/Nxku3HXSkOCu34mAb6h/VY015J0pv21K1xi+wz5e7W44KaUXjoBenkMSkc1tDm8yURFAJIP4JCAFgPb0ahTSQoLE9g83Hv8q3HfkVhZw1BIXKHv9BExw7KWpv8HXWf1NbJHt0wfkCS9Lmn+mStjS0y2V5XnLNbNwEgGcYLChOfU5imhSYH9+s77VfLMUFd0FymbflQxZ3k1uNcDgrtQ/dKksyV12lwzn3pXl/KG2UA0ougEADWwSS4zERSrPW4f3L11mM7PiZNeEsh/Nlvkhxr1TXiBiZb8+GJOzaOjq1SMOT+3A6cSfpubM8JSdLbQydVHDQ6MDCtx06M64i/6ZufewCFxg8KE2g9lqTN1e6cwlQHhVMvPa/vtV0lSfrFPTk+m9CX5IzCXG09tkP9sk8/LkkyN9ysoWn3eSMVhQDSjaAQANYjiaCwMd6KwjNe23Fdo0zxQjDSOz6nmXmrcNCovTKc0OEC6WSKiqRNWyWts/24+6Qkqa61Sbee77a7/esz/TrgtSAznxBAoTHrbD0+MTq7vkruszx0xtFUqFStRVFd3l6RsvtNq2S3HudqUPif90mOI+3eK9PRGZttTVAIIN0ICgFgPfwZheMjso4T101iy0zWqihcaT6hV024paZYwQDtl8gtxptTqHUsNLHdbkWhadusW86rV21JUGcm5th4DKBwNS1UFCYS+LVXFStopKk5J74laXFwuk/q25XuPLw37qnLn1EPpV6gOTstG107/IttPY7kXlBoI7OyP/yuJClww82SpCHvDeb6MlqPAaQXQSEArEdltWSMFI0utAmvIe4Zhb2nJUnm7I3HQ8wnRA6LbT5OrqLQOs6ibd+bVVoU0Dv2NcauLw4atVFJC6DQNLa6zyemp6TxkbhvVhQ0aq9KbfvxwGM/Uk9ZowLW0fXnNaXkPjPCryiUpDg2H/sVhTPzVpFofG/2Zop94hFpYlyqb5L2XaF5x2pkxg00qSgEkG4EhQCwDiYUkiqq3Atxth/7FYWTc46m5lZ+F9v6Ycmi+YTSwsbjrbVUVSH3xBaanDgcV0XHOYYHpNkZd9ZhY4sk6YZt1bH2uq21JVTSAig4pqhIqvPeFDnTk9Bt/d+PqQgKrRPVoZeOSZI2lzgqKwqu+z4zxQSDUnGpeyGOzcflRQH5f05yqf3YWiv7oLfE5Po3yASDGp6el5UUCixUQgJAuhAUAsB6JTinsKwoqPKw++t31fbjNTYeb6ulohA5qLlNKi2TIhHJayFOiDefUM1tbhAvKRgw+s3Lm9VQFtKNO6pTeLAAkEOa3TcG7ZnTCd2s09t8fNR7I3FdXnpWRwPu79kdbXmyxGSxBOYUGmNUGc7BOYWHnpdOHZPCYZlrb5S00IVSV1qUP63gAPIWQSEArJcXFNpEFpqUrd5+bOfmpH5va+yioHBsZl6D3ta7LQSFyEEmEJA63TmF9tiBhG+/eD7hYuc1lenOW3foNdtr1n2MAJCLTHOr+0GCm4931LtB4aHB9QeF9rGHdLjSfd6xo6Fs3feXcUkuNMmlzceOX0141fUy5ZWSpCEWmQDIIIJCAFgnU+VXFA7FfRu//bh/pYrCvh7JOm5lVvXCO/rHvLailoqivGoHwsZiOv2FJknMKezxqhBbN6XugAAgH8QqCpMLCs9MzGl0JvmFJnZ6Ss7Tj+uIHxTW5+GIk1IvKIxjRqG0aKFJjgSFdrBfevrHkiTjLTGRxMZjABlFUAgA61XjBXljI3HfpHGthSa9CxuPzaIWE+YTIh/4cwptEpuPrdd6bNoICgFsLMbffJxgUFgRDqrDW2iynqpC++Sj6g+Ua7yoXKFAni5NK3c3H9s8rSi0D3/HfaN4z4Uy7Vtinx/yuknqSwkKAaQfQSEArFd1nfvvSCIVhW5Q2De5QutxbD7hWYtMhphPiDyw1aso7D4pOzMd982stVKPN6OwdfPqXwwAhabZCwr7etwN8AnYGWs/jv937tns4w/pSIX7vGNLTbGKgvn3UtH4FYVxLDORFoLC8Uj2g0IbmZV95HuSpMCrb15ynf/Gcr33/BEA0in/fvsDQI4xScwo3FzjvvP/xKmJ5duE/LDk7EUmXutxJ0EhcpipqXc3FltH9olH4r/h8IA0My0Fg5I/qwsANor6Jnfj+1xEGh5M6KY7691tvwcHkqsotP290sHndaTKrebeUVea1P1kXYIzCnOp9dj+5GFpctz9Objw8iXXMaMQQCYRFALAeiUxo/Cy9gptryvW1Jyj//fswDnX21534+HijceRqKNTo25QSOsxcp25/iZJkv3u3bJOnC/A/I3HTW0yIaomAGwsJhiUGpvdCwkuNNnVsFBRaK1N+LHt4z+QJB1u3iMpT+cTSokvMwnnRuuxtVb2IW+JyQ03yQSWzqFmRiGATCIoBID1SmJGYcAYvfeSJknSdw+P6IRXKSh57Zf+jMJFCx1OjkYUtVJlOBBbhgLkKvOK10plFe6LXW8w+1psrO2Y+YQANqjYQpPTCd2ss6ZYoYDReMRR78QK849XYK2V/fEPZCUdLXWDyu11eRoUlia39TjrFYUHn5dOdUnhYplrblxylWPtohmFvIkGIP0ICgFgvfwZhbMzsjNTcd9sb3O5ruyokGOlLzzdt3DF8KA0O+O2Xza2xD69eJHJ4gUnQC4yJaWxjY3Off8RX4VLj7/IhPmEADYm0+SNXTjTk9DtioKB2PzihBeaHHpB6u/Vmao2TTgBhQJGm6vzdMSJV1Fo49x6nCtBoX34PkmSuep6GW8hi29sNqp5x8pIqmWZCYAMICgEgHUyxSVSiTfLZyT+OYWS9J6LmxQKSE92T+qpbm/wtl9N2NgiE1p4QnhsmPmEyC/mhpulcFg6flh66dk1v952n3A/YOMxgI0qyYpCSdrZ4M0pTHChiX38IUnS0QuvlyRtrS1WUTA/35A0ZV7IFucyk6oc2Xrs//0zF195znX+fMLqkmDe/v8CIL8QFAJAKvhzCscSCwrbqsJ6wy73tp9/qk9Rx8Y2Hp+zyGRRRSGQD0xllcy1r5UkOfd9bdWvtdbGZhQaWo8BbFCxisK+xCoKJWmXN1cwkYUmdnZW9mc/kiQd7tgrSdqRr23HUuIzCnNl67E/vsbvUlmEjccAMo2gEABSoSbxzce+X7mgQZXhgE6MRvTAkZFYReHiRSbW2lhF4TYqCpFHzGtvkQIB6cWfy3YdWvkLR4ek6Un3a72KGgDYcPzffwO9stHEwit/8/HRoRnNO/EtNLHP/NjdNt/QrCOOG7Ll7XxCKemgcDLiKBrnf7NUs9GoNDHmXqiuOef6QRaZAMgwgkIASAHjvwOcwOZjX0VxUG+7sEGS9JWfD2jyzBn3ikVBYd/knKbmHIUCRu1VBIXIH6a+SeaKV0qSnPv/Y+Uv9NuOm1pliqiaALBB1dS5IxuiUWnwTEI3ba0sUnk4oDnH6viiJWmrsY+5bcf2qut11HtDMm83HksLy0ym42s99rceS9JEtqoKJ8YkayUTkCqqzrk6FhQynxBAhhAUAkAqVNW4/yY4o9D3+p21aqsMa3Q2qv+wWyRJpmWhqsqvJtxUHWY+DfKOed2b3Q+eelz2TPeyX2O72XgMACYQkJra3Asr/L5cScCYWFXhwYG15xTa4UHpxZ+7D7XvVZqccxQOGm3K10UmkuTPKIxEZOfW3v4cDBiVh92XxFmbU+i3HVdUygSC51w9OE1FIYDMIigEgFTwKwoTnFHoCwWM3ntJoyTpW42X6UxJ7ZKKQuYTIp+Zjk7pwssla2W/+/Xlv8jfeNzKxmMAG1yzGxQms9DEn1MYz+Zj++P/lKwj7TxfR1QpyV1kEgrk8RuSpWWS8Y4/3s3H4SxvPvaDQv9N57MMMqMQQIYRFAJAKlQnP6PQd3l7hS6sluYDIX1p15tkyiti1zGfEPku8PpfkuRu17Qj57boxyoK2XgMYIMzsYrCxBea7PQXmqyx+dhaK/vYg+7jvfwGHfa+Pq/nE8qryCwpcy/Eufk4ttAkS0GhXTMopKIQQGYRFAJAChhvmYnWERQaY/Seyn4Z6+jRuvP1Yv9U7DoqCpHvzM7zpR3nSfPzst//5pLr3I3H7oxC00ZFIYANzltokkxFod96fGo0oqm5VYKvrkPu8rRwWOaya3VkyH2ekdcbj30JLjSp8oLCbLceG4JCADmCoBAAUqFq/UGhJG0d6tINvT+TJN35ZJ8cazURiapv0n2S2FlDRSHyV+D1b5Ek2Yfvk11c6TE24lZ+mECs5Q4ANirT3Op+0Jd4RWFtaUiNZSFZSYdXaT/2l5iYi14uW1Kqw0P+IpPShB8z55Qmt/k4F1uPp+aimp53JEn1pbQeA8gMgkIASAV/RuHEmOz82sOzV2J7T+ntx+5XiXF0aHBGPzo+ri6v7bipPKSK4nOHXAN5Y++lUttmaWZa9j/vW/i8v/G4sVkmTBgOYIPzKgo11C87F0n45rsa3LBvpTmFdm5O9olHJEnm6hvUPRbRzLyj4qBRR1U4uWPOJV5FoY13RqEfFGZr6/EqQaFfTVheFFBpES/dAWQGv20AIBXKK6Sg1xLiP+FLRs8p1UYm9EvN7hPDLz7dp5e8zYW0HSPfmUBAxp9V+OC3ZCNuCG572HgMADEVVW5VnLVSX2/CN98ZW2iywpzCZ3/qVnHX1EvnXajDQwvjTYL5vMjEl2jrcTi7rcerzSj0g8I62o4BZBBBIQCkgAkEFp7gJdl+bKPRWJvRL+5tVkNZSP1T8/rq/kFJ7iZCIN+Zy18h1TVKYyOx1jfmEwLAAmPMwhiGpDYfuxWFBweWryh0Hvfajq+6TiYQjAWFO+oL4w1JU+Ytg8uTZSarzShk4zGAbCAoBIBUqV7nnMKBM1J0XgqHVdzQqHdf1ChJmvFm03RSUYgCYEIhmdfeIkmy37tbNhpdqChk4zEASFrYfGz7uhO+7ba6EgWMNDg9HwuafHZsRNr/pPsYV98gSToyWECLTKSkl5lkLSgcH/EOpOacqwanvUUmpVQUAsgcgkIASBUvKLTJBoW9p9x/m9tlAgG9orMq1j4kSduoKESBMNfeKFVUSv29sk89JnW7QaFppaIQACQtqihMPCgsLQpoc7X7nOHsOYX2iYelaFTq3CnTuklRxy5sPC6QisJkl5lko/XYOlFpbNS9sErrMRuPAWQSQSEApIjxF5qMDiV1e+sFhaalQ5IUMEbvv6RJkrvFsKmcthMUBlNcInPDGyVJ9u7/K02MScZI3s8+AGx4zclXFEqL5xSeFRT62469asLTYxHNRq1KQgG1VRbAIhNpoaIwzmUmWa0onBiXrNs5oorqc64mKASQDQSFAJAq1TXuv6Mjyd2+x6soXBSWnNdUpr+8cbP+7NWb3JlFQIEw179BChdL/d6g/oZmmWKqZgFAksw6Kgqlhc3HBxctNLE9J6WTx6RQyJ0XK8XmE26rLS6MRSbSwtbjRGcURqKy1qbtsJblLzKpqJIJnRsG+q3jDcwoBJBBBIUAkCpeRaFdZ0WhWpdWVZ3XVBZrIQIKhamoknnl6xY+wcZjAFjgzSjU6LDs9FTCN/crCg8Pzsjxwi977JB75bY9MhVV7vWF1nasxctMEms9dqw0Oeek67CWt8rGY2lhRmEdMwoBZBBBIQCkiFnHMhNrbayi0NB+iQ3C3PgmKei+QDMEhQAQY8rKpUqvFbWvJ+Hbb64uVnHQaGrO0emxiPtJf8N8+8I82MOFtshESniZSTgYUHHQrabMdPuxXSUonIs6Gp1xj6eB1mMAGURQCACpsp6txxNj0tSEO6fNryIACpypa5R51S+4H7/s4iwfDQDkmOZ2SYs6DhIQDBhtr1s6p9B6QaHatkiSoo7VsWG/orB0vUebO2JBYXytx9LCnMKMLzTxgkKzTFA45FUTFgVMrOoRADKBoBAAUsUPCsdGZJ0EW1f8+YR1jcxpw4ZifuUDCvyPL8icty/bhwIAOcW0eZV/p48ndfvYnMIBb06hX1Ho3e/J0VlFolaloYBaKwtoBl6p13o8PRn3zMHKbC00WaWicPEiE+ZUA8gkgkIASBX/SV50XpqM/11saeX5hEChM4GATE1dtg8DAHJPR6ckySYZFPpzCg8OzsjOTEmDfe4VXuuxP59we32JAoUURPkVhfPz0lwkrpvkclDIfEIAmUZQCAApYkJFkjccXIkuNGE+IQAAWMS0uy3COtWV1O39oLBreEaRU17bcXWdTHmlpAKdTyhJJaWS8V7mxtl+nK3WYzs+4h1AzTnXDU6z8RhAdhAUAkAqJTmnkIpCAACwRIcXFA71y8a5mGOxpvIiVRcHFbXS0a5e95OLF5kMFWZQaIxJeKFJtisKl5tRGKsoZJEJgAwjKASAVPKCQpvoQpNeKgoBAMACU1Yh1TW4F5JoPzbGaFeDt9Ckf8r9nDefcN6x6hqelSTtqC+soFBS8kFhJPdaj9l4DCDTCAoBIIVMfZP7waHn476NjcwuzA0iKAQAAL72TkmSPd2V1M13etuMD015Mwi9oPDEyKzmHKvyooBaKgqwtbXUCwqn4wwKw5mvKLSOsxAUVtaccz0VhQCyhaAQAFLIXH2DJMk+/gPZ4cH4btTXLVkrlVVIldVpPDoAAJBPTEdq5hQeMu7zC7+icPEik4LcqOtVFMbbsp2VGYWTE5LjeAdw7vO/wSlmFALIDoJCAEghs+N8aef5UnRe9oFvxHUb23Pa/aC1ozCfrAMAgOTEKgqT3XzsVhT2FNdpPFQaqygs2EUmvnyYUehXE5ZVuAvxFnGs1dA0W48BZAdBIQCkWOAXflmSZB/5ruzE2No3iM0nbE/nYQEAgDxjOjrdD04fl7U24dtXFgfVWuze7nDbBTKlZZKkIwW6yMRnyircD+LcepydoNCbZ+0vwltkdCaqqJUCRqolKASQYQSFAJBqF1wibdoqzc7IPvTttb/e33jMfEIAALBYc7sUDEnTU9JQf1J3sTPoVtUdat4jSZqLOuoa8YLCQlxkIiVcUbi49TiZQDYZNo5FJtUlIYUCdJsAyCyCQgBIMWOMjF9V+NC9sjPTq369ZeMxAABYhgmFpFbv+UGycwqneiVJhyvdzoXjIxHNO1JlOKCm8gKdf5foMhMvKJxzrGajmQkKNT4iSTLLBoX+fEKqCQFkHkEhAKSBufTlUlObNDku+8h3V/w66zhSrzejkKAQAACcxW8/tkkGhTsGDkmSDqpa1lodHnLfwNxeX1q4s5Fjy0ziaz0uDQUU8l4ZZ6z9eLWKQuYTAsgigkIASAMTCMq8/s2SJPvAN2Tn5pb/wuFBKTLrthU1NGfwCAEAQF5o9zYfJ7nQZOuJnyvoRDXmBNU3OVfw8wklJdx6bIxRZTjDcwr9oLByuY3HblBIRSGAbCAoBIA0MVddL9XUSSNDsj/+wfJf5M8nbGp124sAAAAWWU9FoR0bUXhsSJ2TPZKkQ4Mzhb/xWIuXmcQXFEpSVbH7PGwsQ0GhHRv1HrjmnOv81uO6sgJtDQeQ0wgKASBNTFGRzI23SJLs/V+Xdc594mlji0zYeAwAAJbR3un+e+b0yh0KK+k+IUnaOTcgSXq+b0rHR2YlFfAiE2lRRWF8rceSVFnsvjTOVFDoVxSaqnO3HlNRCCCbCAoBII3MK18nlVdKfd2yTz5+7hf0nHS/rnVTho8MAADkhZo697mE48SeN8TL+kFhsRswPtw1pqiVqouDhR1ClXoVhXEuM5EWFpowoxDARkdQCABpZEpKZW64WZJk7/uqrF26Sc+yyAQAAKzCGBObU5hw+/FpLyj0qgcnI44kaXtdSeEuMpGWzCg8+7nXSmJBYST9QaG1dsWg0Fq7aOsxrccAMo+gEADSzLz6Zqm4RDp5TNr/1NIrvdZjQ1AIAABW4M8pTHShiV9R2N7epNLQwku/gm47lhaCQseRZmfiuok/o3DYq+ZLq6kJKeo9TtXSZSZTc45m5t1ws76Qqz4B5CyCQgBIM1Ne6bYgS3Lu+2rs83ZqQhoddi8woxAAAKwkiYpCa63U7QaLwY7NsapCqbAXmUiSwsVS0AvZ4pxTuLk6LEmxrdBp5VcTlpbLFIWXXOXPJ6wIB1Qc4uU6gMzjNw8AZIC58Rb3CeuhF2QPv+B+0m87rqmTKS3L2rEBAIDcllRF4eiQu/U3EJCaO7SroTR2VaFXFBpjlrQfx8P/73NseFZzUSddh+aKYz5hfSltxwCyg6AQADLA1NbLXH2DJMn5ztckLd54TNsxAABYRdtm99/RIdnxsfhu480nVFOrTFFRrKKwpiS4MZZklCYWFLZUFKmqOKh5x+ro8GwaD0yyflBYXXPOdf58QtqOAWQLQSEAZIh5/ZslE5Ce+5nsyWPMJwQAAHExJaVSY4t74XRXXLfx5xOqzW1bvqy9Qm/YVaMPXdZc2ItMfH5FYZybj40x2uWFqQcHptN1VC4vKDSVNedc5bce1xEUAsgSgkIAyBDT1CZz2TWSJHvf12R72HgMAADi1N4pKYE5hV6bsvGqEUMBo1+/vEXXbKlKw8HlIC8otHFWFErSbq/9+ECGgsJlW4+9oLCBoBBAlhAUAkAGmdf/kiTJ/uxRyZtVaFpZZAIAAFYXm1MYZ1DoVxSa9s3pOaAcZ2Ktx/EtM5EW5hQeHEzzQpNVg0K/9ZgZhQCyg6AQADLIbN4m7b1Mso404c0YoqIQAACswXR4m4/jWGjibjw+6V5o25hBocor3H8TqCjcWV8iI+nMxJxGZubTc1xaNKNw1WUmVBQCyA6CQgDIsMAvvGXhQnGJVFOfvYMBAAD5wWs9VvdxWSe6+tcO9Uuz01IwJDW1pf3QclKCy0wkqTwcVHtVWFKa5xT6MwpXaT1mmQmAbCEoBIAMMzvPl3ac715obpcJ8KsYAACsoalFCoelSETqP7P61/qLTFraZUIbNHCKLTOJv/VYWjynMI3txytUFEaijsZm3RCY1mMA2cKrUwDIgsCt75LCYZmLr8z2oQAAgDxgAkGp1WsjXmNOoT1rkcmGlMQyE0na1eBtPh5MT0WhtVYaG3YvnBUUDnnVhOGgUUWYl+oAsoPfPgCQBWbXyxT4u39T4Oa3ZftQAABAnliYU9i1+hf6FYUbOShMovVYWqgoPDQwo6hjU31U0vSkNO/NPzwrKFzcdmyMSf1jA0AcCAoBIEs2bCsQAABIjrf52K5ZUehvPN6S5gPKXSa2zCSx1uPN1cUqDhpNzzs6PRZJ/YH5bcclpTLh4iVXscgEQC4gKAQAAACAPGD8hSarbD62TlTq3eAbj6WkKwqDAaOd9W778YF0LDRZZePxwNScJOYTAsgugkIAAAAAyAdeRaH6e2VnV1i2MXDGXXhSFJYamzN2aDmnzKsonE4sKJSkXV77cVrmFK4SFA6x8RhADiAoBAAAAIA8YCqr3YDJ2oU5hGfzP9/a4S5A2ahiW4+nZB0noZvGgsI0bD62saCw9pzrBggKAeQAgkIAAAAAyBdrzCmMzSfcyG3H0kJQaK00k1hl4C6v9fjE6Kym5xILGdfkBYVmuYrCaa/1uJTWYwDZQ1AIAAAAAHkitqBkpTmFsY3HG3eRiSSZorAU8gK3BBea1JcVqaEsJMdKh4dS3H686oxCt6KwjopCAFlEUAgAAAAA+WLNikI3QNzwFYWSFNt8nPycwgMpbj+2KwSFUcdq2Nt63EBQCCCLCAoBAAAAIE8sbD7ukrV2yXV2fl46c9q90E5QGNt8nMRCk90NbvvxwVRvPl6h9XhkZl6OlQJGqikhKASQPQSFAAAAAJAv2jZJJiBNjEujQ0uv6++R5uel4hKprjE7x5dL/DmFyVQU1vsLTabPCWTXZYWKwiGvmrC2JKRgwKTu8QAgQQSFAAAAAJAnTFFYaml3L5w6a05hbD7hZpkAL/X8oNAmERRurytR0EjDM9HY7MD1stauGBQynxBAruCvBwAAAADkEX+hiT3dteTzCxuPN2X6kHKS8VuPE1xmIknFoYA6a4slSQdS1X48My3NRdyPz64onGI+IYDcQFAIAAAAAPnEW2hydkWh7fYub/CNxzHrWGYiLW0/Tgm/mrC4RKa4ZMlVA1NzkqS6sqLUPBYAJImgEAAAAADySKyi8OzNx90n3evZeOxaxzITKQ2bj1doO5YWVRSWUlEIILsICgEAAAAgn/gVhb0n3U3Hkuzc3MLGY4JCV1nyrceStNsLCo8Oz2gumoKFJqsEhQPTzCgEkBsICgEAAAAgn9Q3SSWl7objM93u586clhzHraKrrc/u8eWKdSwzkaS2yiJVhAOKRK26RtZfVWj9oLCy5pzrhrzW4wZajwFkWdqDwrm5Of3BH/yB3vrWt6qrqyvdDwcAAAAABc0YI5210MSe9ucTbnKvh1TqzyhMrqLQGLNoTmEK2o+9oNBU1yz5tLU2tvW4nopCAFmW9qDwS1/6kurq6tL9MAAAAACwYZj2TvcDf06hP5+wnUUmPlPutx4nV1EoSbsa3KUjBwdTsNBkhdbjyYijiNfaXMeMQgBZltag8Omnn9azzz6rd73rXel8GAAAAADYWLw5hX4l4cLGY+YTxvgVhUkuM5FSu/nYrhAU+huPK8MBFYeYDgYgu9L2W2hkZESf/exn9ZGPfEThcDhdDwMAAAAAG06scjBWUXjC/TxB4YKy9VcU7vQWmnSPz2lsNrq+4xkfkSSZs4LCoWm/7Zj5hACyLy11zdZa/fM//7NuvPFGbd++XX19fXHdbm5uTnNzc7HLxhiVlpbGPi40/vdUiN8bkA6cM0BiOGeAxHDOIK9s6nT/HeqXRoel/l5JboCYqZ/hnD9nyr2KwplpyXFkgsGE76K6JKS2yrC6xyM6PDijS9srkj8ef0ZhVe2S/2aDi+YT5ux/S6REzp8zgBIMCr/85S/rnnvuWfVrPv3pT+vnP/+5pqendeuttyZ0MHfffbe+9rWvxS5v3bpVn/rUp9TY2JjQ/eSblpaWbB8CkFc4Z4DEcM4AieGcQb7obmxWtP+MKg89pxFrFaiqUevu8zIeQuTqOWMbGnTK+7i5qkLBsyr54nXRpmF1v9Cr7tmgbm5tTfp4To2NyEpq3LFLRYvuJ3LUXZSyqaFareu4f+SPXD1nACnBoPCNb3yjrrvuulW/prm5Wfv379fBgwf19re/fcl1H/vYx3TttdfqIx/5yLK3vfXWW3XzzTfHLvt/4Pr7+zU/P5/IoeYFY4xaWlrU29sra222DwfIeZwzQGI4Z4DEcM4g3zitm6T+Mxp54Fvu5ZYO9fb2Zuzx8+KcCRdLkVmdOXZUpim5EG5Tufu9/exYv964rTSp+7Az07KzbiDYPxuR6emJXdfVNyxJKlVEPYs+j8KTF+cMClIoFIq7CC+hoLCqqkpVVVVrft373vc+ve1tb4tdHh4e1h133KHf+Z3f0c6dO1e8XVFRkYqKlp/LUMgnkbW2oL8/INU4Z4DEcM4AieGcQd5o3yI9+zPp6AFJkmnfnJWf3Zw+Z8oqpMis7NSElOQx+gtNDg1OK+o4CiRRsWlH3TBQ4bBsuGTJsfRPuuO36ktDufvfESmV0+cMNry0zChsaGhYcrmkxF0p39LSovr6+nQ8JAAAAABsLO2dSy+zyORcZeXSyOC6Fpp01hYrHDSaiDjqHo+oo6o48TvxNx5X1ixpDZ+IRPV831TscQAg29i9DgAAAAB5yHR0Lr1MUHiuMnf5iB0fTfouQgGj7XVu8cvBgZnk7sQPCs+ak/jwsTFFolZbqou1w3sMAMimjASFTU1Nuuuuu9TZ2ZmJhwMAAACAwtfcLgUXNYkRFJ7DtLS7H3SfWNf97Kr3g8LppG5vlwkKrbX63mH386/dWc0mXAA5gYpCAAAAAMhDJhSSWjvcC9W1MhVrz5PfcDq2SpLsqa513c3uBndO4cHB5IJCv6LQLAoKDw3OqGtkVuGg0XWd1es6PgBIFYJCAAAAAMhTsfZjqgmXFfvvc/LYuu5nlxcUHhue1ey8k/gdjI+4/y4KCr/rVRNevblSFcXBdR0fAKQKQSEAAAAA5KvzL5YkmfMuyu5x5Co/KBzqdzcfJ6mhLKTa0pAcKx0ZSnxOYaz1uLpWkjQ1F9UPu8YkSa/bUZP0cQFAqhEUAgAAAECeMlddp8Cf/ZPMa2/J9qHkJFNeIdU1uhfW0X5sjFmYU5hM+/FZrccPHxvTbNSqoyqs8xpLkz4uAEg1gkIAAAAAyFPGGJnWTTJBWldX5FUVpmpO4YFkNh/7FYWVNZKkB464l1+7o4YlJgByCkEhAAAAAKBgGW+hyXoqCiVpV8M6Nh+Pjrj/VtXo8OCMjgzNKhQwun4bS0wA5BaCQgAAAABA4UpRReGOulIFjDQwNa/Bqbm4b2dnZ6VZL1ysqtH3/CUmmypVxRITADmGoBAAAAAAULDMpk73g9Ndsk406fspLQpoc3WxJOngYALtx2PD7r+hIk2HSvSwt8TktTupJgSQewgKAQAAAACFq6lVCoelSETq61nXXflzChNqP/bnE1bV6EcnxjUz76itskgXNJWt61gAIB0ICgEAAAAABcsEglLbFvdCiuYUPt0zqahj47vR+Ij776K24xtZYgIgRxEUAgAAAAAKmtnkLjSxJ7vWdT8Xt5arJBTQseFZ/evTfXHdxnoVhcdqt+jQ4IxCAekGlpgAyFEEhQAAAACAwtbeKUmyp7vWdTf1ZUX6nZe3SpLueWlYj3jzBlflBYUPVJ4nSbqyo1I1JaF1HQcApAtBIQAAAACgoMUWmpw8tu77evnmSr3lZfWSpH/4cY+ODa+x2GRsRDOBIj0ScAPG1+6oWfcxAEC6EBQCAAAAAAqbV1GooX7ZyYl1393bL2zQxa3likStPvnIaY3PrrxN2Y6N6NGmfZpSSC0VRbqwhSUmAHIXQSEAAAAAoKCZ8gqprtG9sM72Y0kKBoz+6zVtaq4o0pmJOf3No90rLzcZG9H3W6+Q5C4xCbDEBEAOIygEAAAAABS+FC008VUWB/XfXtmucNDo6Z5JfeXZgWW/7vhsSAeqOxU0Vq9miQmAHEdQCAAAAAAoeMZvP05BRaFva22Jfusqd/bg154f1OMnxs/5mgfKdkqSLm8IqbaUJSYAchtBIQAAAACg4PkLTWwKFpos9srOKv3inlpJ0v98vEcnRmdj181Mz+jh+r2SpNftqE3p4wJAOhAUAgAAAAAKX0en+2/3cVln5eUjyXjPxU26oLlMM/OOPvnwaU1G3Pt/7FC/JovK1DgzrH2ddSl9TABIB4JCAAAAAEDha2qVwmEpEpH6elJ618GA0UevbVNDWUjd4xH9z8d75Fir73VNSpJeM7xfwQAvvwHkPn5TAQAAAAAKngkEJW9OYaoWmixWXRLSx17ZrqKA0ROnJvQPP+7Ri+NSwEZ1w9zxlD8eAKQDQSEAAAAAYEMwfvvxqa603P/O+lL95hXNkqSHjo5Jki4bfFH15eG0PB4ApBpBIQAAAABgY/CCQnsqtQtNFnv19hr9ws6a2OXXdD8hU1WdtscDgFRiNzsAAAAAYEMwHZ2yUtoqCn3vv7RZE5Go5o8f1cVDB6Sql6X18QAgVQgKAQAAAAAbg996PNQvOzkhU16RlocpChr9/rXtcp7/sqysVFWTlscBgFSj9RgAAAAAsCGYsgqpvsm9kOaqQkmyYyPuB5U1aX8sAEgFgkIAAAAAwMYRm1PYlf7H8oJCU12b/scCgBQgKAQAAAAAbBgLm4/Tt9AkZmzY/ZfWYwB5gqAQAAAAALBhmAxVFNq5OWlq0r1AUAggTxAUAgAAAAA2jo6t7r/dx2WdaPoeZ3zE/TcYlMrSszQFAFKNoBAAAAA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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ar1_sim_pos.plot(figsize=(16, 8))\n",
    "res_predict.plot(\n",
    "    label=\"in-/out-sample forecast\", title=\"Prediction And Forecast of AR(1)\"\n",
    ")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b0e3177-dba8-4805-90ac-42cda3071451",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\">Identification of the Order of an AR Model </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff7ff00d-616c-4dd6-974a-2a84bcfb0888",
   "metadata": {},
   "source": [
    "The usual practice of order identification is called **the Box-Jenkins Methodology**, which will be explicated below, for now we simply perform two techniques:\n",
    "1. Partial Autocorrelation Function\n",
    "2. Akaike or Bayesian Information Criteria ($\\text{AIC}$, $\\text{BIC}$)|"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a7f39af1-f36e-4377-b6ef-0319c9e2ec51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "obs = 300\n",
    "\n",
    "ar_params = np.array([1, 0.8, 0.2, -0.2, 0.1])\n",
    "ma_params = np.array([1])\n",
    "ar4 = ArmaProcess(ar_params, ma_params)\n",
    "ar4_sim = ar1.generate_sample(nsample=obs)\n",
    "ar4_sim = pd.DataFrame(ar4_sim, columns=[\"AR(4)\"])\n",
    "ar4_pacf = pacf_func(ar4_sim.values, nlags=50)\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(16, 10), nrows=2, ncols=1)\n",
    "ax[0].plot(\n",
    "    ar1_sim,\n",
    "    label=\"$Y_t = {%s}Y_{t-1} {%s}Y_{t-2} {%s}+Y_{t-3} {%s}Y_{t-4}+u_t$\"\n",
    "    % (-ar_params[1], -ar_params[2], -ar_params[3], -ar_params[4]),\n",
    ")\n",
    "ax[0].legend()\n",
    "ax[1].bar(\n",
    "    np.arange(len(ar4_pacf)),\n",
    "    ar4_pacf,\n",
    "    color=\"tomato\",\n",
    "    label=\"Partial autocorrelation function\",\n",
    ")\n",
    "ax[1].axhline(y=2 / np.sqrt(obs), linestyle=\"--\", color=\"k\")\n",
    "ax[1].axhline(y=-2 / np.sqrt(obs), linestyle=\"--\", color=\"k\")\n",
    "ax[1].legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d3336c8-0f95-449f-a9da-7aeb09eff979",
   "metadata": {},
   "source": [
    "Only lag $1$ is significant, we could estimate it with $\\text{AR(1)}$, the better idea is to loop the estimation to plot the $\\text{AIC}$ and $\\text{BIC}$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0926e905-bf87-4a6b-82d9-e95cae22b56e",
   "metadata": {},
   "outputs": [],
   "source": [
    "aic, bic = [], []\n",
    "for i in range(10):\n",
    "    mod_obj = ARIMA(ar4_sim, order=(i, 0, 0))\n",
    "    result = mod_obj.fit()\n",
    "    aic.append(result.aic)\n",
    "    bic.append(result.bic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1c4833c4-b99b-4d70-aaf1-902275b4ce7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "ax.plot(range(1, 10), aic[1:10], label=\"AIC\")\n",
    "ax.plot(range(1, 10), bic[1:10], label=\"BIC\")\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23593ce7-fd02-4836-aa90-5d29c717dbc0",
   "metadata": {},
   "source": [
    "$\\text{BIC}$ is monotonically increasing, $\\text{AIC}$ reaches the lowest at the second lag, however we always choose the simpler model to fit, in this case an $\\text{AR(1)}$ model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f09b61e2-5f69-44c0-9fa7-d630561dcd5c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               SARIMAX Results                                \n",
      "==============================================================================\n",
      "Dep. Variable:                  AR(4)   No. Observations:                  300\n",
      "Model:                 ARIMA(1, 0, 0)   Log Likelihood                -417.862\n",
      "Date:                Sun, 09 Jun 2024   AIC                            841.724\n",
      "Time:                        19:00:33   BIC                            852.835\n",
      "Sample:                             0   HQIC                           846.170\n",
      "                                - 300                                         \n",
      "Covariance Type:                  opg                                         \n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         -0.0153      0.029     -0.520      0.603      -0.073       0.042\n",
      "ar.L1         -0.9097      0.024    -37.514      0.000      -0.957      -0.862\n",
      "sigma2         0.9436      0.083     11.438      0.000       0.782       1.105\n",
      "===================================================================================\n",
      "Ljung-Box (L1) (Q):                   0.40   Jarque-Bera (JB):                 0.84\n",
      "Prob(Q):                              0.53   Prob(JB):                         0.66\n",
      "Heteroskedasticity (H):               0.98   Skew:                             0.03\n",
      "Prob(H) (two-sided):                  0.91   Kurtosis:                         2.75\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
     ]
    }
   ],
   "source": [
    "mod_obj = ARIMA(ar4_sim, order=(1, 0, 0))\n",
    "result = mod_obj.fit()\n",
    "print(result.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "339df488-6893-466a-b41d-cb90b80d7183",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Meta Trader 5 Data </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17ff4b42-5955-4e03-a94a-3aa0a716d73a",
   "metadata": {},
   "source": [
    "If you have a MetaTrader 5 account, install the ```MetaTrader5``` library, then run the codes below to login the account.\n",
    "```\n",
    "import MetaTrader5 as mt5\n",
    "login = 123456\n",
    "password = 'abcdefgh'\n",
    "server = 'XXXXXXX-Demo'\n",
    " \n",
    "mt5.initialize()\n",
    "mt5.login(login, password, server)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f1a4482-461f-4aa3-b3bd-44417c004f1a",
   "metadata": {},
   "source": [
    "Then you can retrieve high frequency data from your broker's server, for instance here we retrieve one minute candlesticks data of $\\text{USDJPY}$. ```start_bar``` means the current bar, ```num_bars``` is the number of bars all before the current bar."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a98d2f8-19d0-454a-94c1-3fd4406462da",
   "metadata": {},
   "source": [
    "```\n",
    "symbol = 'USDJPY'\n",
    "timeframe = 1\n",
    "start_bar = 0\n",
    "num_bars = 5000\n",
    " bars = mt5.copy_rates_from_pos(symbol, timeframe, start_bar, num_bars)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57750c1b-9cff-4686-8ee9-ead46f2b1510",
   "metadata": {},
   "source": [
    "Because the time column is present in Unix timestamp, some conversion has to be done as below"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27cecc03-cb94-42d2-a8c9-c1422302d67a",
   "metadata": {},
   "source": [
    "```\n",
    "kbars = pd.DataFrame(bars)\n",
    "\n",
    "time =[]\n",
    "for i in range(len(kbars['time'])):\n",
    "    time.append(dt.datetime.fromtimestamp(kbars['time'][i]))\n",
    "    \n",
    "kbars['time'] = time\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05eb7212-01da-4002-aeab-85943329bc40",
   "metadata": {},
   "source": [
    "If you need it for later research, save it as a ```.csv``` file\n",
    "```\n",
    "kbars.to_csv('USDJPY_1m.csv', index=False)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b694d5d7-51fd-4948-9854-14bbcdec0013",
   "metadata": {},
   "source": [
    "I have uploaded this dataset onto repository."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3044b715-a90f-4066-af8e-1d1c0af0656d",
   "metadata": {},
   "outputs": [],
   "source": [
    "usdjpy = pd.read_csv(\"USDJPY_1m.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "146a1ca4-38ac-485a-9ec4-021012599c4c",
   "metadata": {},
   "outputs": [
    {
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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,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant},{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(u.stroke,e.bordercolor).call(u.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 q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(Y).on(\"edit\",(function(r){e.text=r,this.call(Y),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(Y)}else n.selectAll(\"#\"+L).remove();function W(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return r.call(c.font,q).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(),v=c.bBox((f?n:G).node()),b=v.width,_=v.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),q=Math.round(D+2*N);function H(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 Y=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var K,J,$,Q,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ut=e[et+\"anchor\"],ct=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(Y=!0):Y=!0),K=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ht;\"x\"===et?($=e[et],K=dt?it._offset+it._length*$:K=T.l+T.w*$):($=1-e[et],K=dt?it._offset+it._length*$:K=T.t+T.h*$),Q=e.showarrow?.5:$}if(e.showarrow){ft.head=K;var vt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var gt=l.getRefType(nt);\"domain\"===gt?(\"y\"===et&&(vt=1-vt),ft.tail=it._offset+it._length*vt):\"paper\"===gt?\"y\"===et?(vt=1-vt,ft.tail=T.t+T.h*vt):ft.tail=T.l+T.w*vt:ft.tail=it._offset+it.r2p(vt),J=tt}else ft.tail=K+vt,J=tt+vt;ft.text=ft.tail+tt;var yt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,yt-1)),\"pixel\"===nt){var mt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-yt;mt>0?(ft.tail+=mt,ft.text+=mt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ct,ft.head+=ct}else J=tt=lt*H(Q,ut),ft.text=K+tt;ft.text+=ct,tt+=ct,J+=ct,e[\"_\"+et+\"padplus\"]=lt/2+J,e[\"_\"+et+\"padminus\"]=lt/2-J,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(Y)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(c.setClipUrl,U?L:null,t);else{var wt=N+_t-v.top,Tt=N+bt-v.left;G.call(h.positionText,Tt,wt).call(c.setClipUrl,U?L:null,t)}V.select(\"rect\").call(c.setRect,N,N,A,D),j.call(c.setRect,F/2,F/2,B-F,q-F),R.call(c.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),I.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=v-.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,q=e.arrowcolor,H=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.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)}})}}};e.showarrow&&At(0,0),z&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var l=e._xsize/T.w,u=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(u+t/T.w,l,0,1,e.xanchor)}if(x)o=m(x,r,\"y\",T,e);else{var c=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-c/2;o=d.align(f-r/T.h,c,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}I.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",W(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.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&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},33652:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(72196),o=r(3400),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var 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O=p.getPointAtLength(E),I=p.getPointAtLength(E-.1);h=Math.atan2(O.y-I.y,O.x-I.x),c=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",L)}function z(){t.style(\"stroke-dasharray\",\"0px,100px\")}function D(e,a,o,c){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:u(a.x,a.y)+l(180*o/Math.PI)+s(c)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}m&&D(v,o,f,y),x&&D(d,c,h,g)}},79180:function(t,e,r){\"use strict\";var n=r(23816),i=r(42300);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(13916),supplyLayoutDefaults:r(45216),includeBasePlot:r(36632)(\"annotations\"),calcAutorange:r(90272),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(26828)}},45899:function(t,e,r){\"use strict\";var n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},52808:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(45899);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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date data.\"}var g={xcalendar:d(v(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(v(\"y\"))}),m=i.extendFlat({},y,{zcalendar:d(v(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. 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rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=[],gt=[],yt={hLinePoint:null,vLinePoint:null},mt=!1;if(Array.isArray(e))for(M=\"array\",it=0;it<e.length;it++)(ot=t.calcdata[e[it].curveNumber||0])&&(st=ot[0].trace,\"skip\"!==ot[0].trace.hoverinfo&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0)));else{var xt,bt,_t=t.calcdata.slice();for(_t.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),at=0;at<_t.length;at++)ot=_t[at],\"skip\"!==(st=ot[0].trace).hoverinfo&&m.isTraceInSubplots(st,x)&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var wt=l.getBoundingClientRect();xt=e.clientX-wt.left,bt=e.clientY-wt.top,b._calcInverseTransform(t);var Tt=o.apply3DTransform(b._invTransform)(xt,bt);if(xt=Tt[0],bt=Tt[1],xt<0||xt>Z[0]._length||bt<0||bt>K[0]._length)return v.unhoverRaw(t,e)}else xt=\"xpx\"in e?e.xpx:Z[0]._length/2,bt=\"ypx\"in e?e.ypx:K[0]._length/2;if(e.pointerX=xt+Z[0]._offset,e.pointerY=bt+K[0]._offset,rt=\"xval\"in e?m.flat(x,e.xval):m.p2c(Z,xt),nt=\"yval\"in e?m.flat(x,e.yval):m.p2c(K,bt),!i(rt[0])||!i(nt[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var kt=1/0;function At(r,n){for(at=0;at<gt.length;at++)if((ot=gt[at])&&ot[0]&&ot[0].trace&&!0===(st=ot[0].trace).visible&&0!==st._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(st._module.name)){if(ct=M,m.isUnifiedHover(ct)&&(ct=ct.charAt(0)),\"splom\"===st.type?lt=x[ut=0]:(lt=m.getSubplot(st),ut=x.indexOf(lt)),pt={cd:ot,trace:st,xa:Z[ut],ya:K[ut],maxHoverDistance:tt,maxSpikeDistance:et,index:!1,distance:Math.min(kt,tt),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:st.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},b[lt]&&(pt.subplot=b[lt]._subplot),b._splomScenes&&b._splomScenes[st.uid]&&(pt.scene=b._splomScenes[st.uid]),\"array\"===ct){var a=e[at];\"pointNumber\"in a?(pt.index=a.pointNumber,ct=\"closest\"):(ct=\"\",\"xval\"in a&&(ft=a.xval,ct=\"x\"),\"yval\"in a&&(ht=a.yval,ct=ct?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,ht=n):(ft=rt[ut],ht=nt[ut]);if(dt=vt.length,0!==tt)if(st._module&&st._module.hoverPoints){var s=st._module.hoverPoints(pt,ft,ht,ct,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:_,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&vt.push(B(l,M))}else o.log(\"Unrecognized trace type in hover:\",st);if(\"closest\"===M&&vt.length>dt&&(vt.splice(0,dt),kt=vt[0].distance),A&&0!==et&&0===vt.length){pt.distance=et,pt.index=!1;var c=st._module.hoverPoints(pt,ft,ht,\"closest\",{hoverLayer:b._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=et}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=St(p),(!yt.vLinePoint||yt.vLinePoint.spikeDistance>f.spikeDistance)&&(yt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=St(g),(!yt.hLinePoint||yt.hLinePoint.spikeDistance>f.spikeDistance)&&(yt.hLinePoint=f))}}}}}function Mt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function St(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}At();var Et={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,Ct={vLinePoint:yt.vLinePoint,hLinePoint:yt.hLinePoint};t._spikepoints=Ct;var Pt=function(){var t=vt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=vt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),vt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];y.traceIs(s.trace,\"bar-like\")||y.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(vt=t.concat(e),M)};Pt();var Ot=M.charAt(0),It=(\"x\"===Ot||\"y\"===Ot)&&vt[0]&&C[vt[0].trace.type];if(A&&0!==et&&0!==vt.length){var zt=Mt(vt.filter((function(t){return t.ya.showspikes})),et,It);yt.hLinePoint=St(zt);var Dt=Mt(vt.filter((function(t){return t.xa.showspikes})),et,It);yt.vLinePoint=St(Dt)}if(0===vt.length){var Rt=v.unhoverRaw(t,e);return!A||null===yt.hLinePoint&&null===yt.vLinePoint||j(Lt)&&N(t,yt,Et),Rt}if(A&&j(Lt)&&N(t,yt,Et),m.isXYhover(ct)&&0!==vt[0].length&&\"splom\"!==vt[0].trace.type){var Ft=vt[0],Bt=(vt=L[Ft.trace.type]?vt.filter((function(t){return t.trace.index===Ft.trace.index})):[Ft]).length;At(V(\"x\",Ft,b),V(\"y\",Ft,b));var Nt,jt=[],Ut={},Vt=0,qt=function(t){var e=L[t.trace.type]?O(t):t.trace.index;if(Ut[e]){var r=Ut[e]-1,n=jt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(jt[r]=t)}else Vt++,Ut[e]=Vt,jt.push(t)};for(Nt=0;Nt<Bt;Nt++)qt(vt[Nt]);for(Nt=vt.length-1;Nt>Bt-1;Nt--)qt(vt[Nt]);vt=jt,Pt()}var Ht=t._hoverdata,Gt=[],Wt=q(t),Yt=H(t);for(it=0;it<vt.length;it++){var Xt=vt[it],Zt=m.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Kt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Kt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Kt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Jt=Xt.x0+Xt.xa._offset,$t=Xt.x1+Xt.xa._offset,Qt=Xt.y0+Xt.ya._offset,te=Xt.y1+Xt.ya._offset,ee=Math.min(Jt,$t),re=Math.max(Jt,$t),ne=Math.min(Qt,te),ie=Math.max(Qt,te);Zt.bbox={x0:ee+Yt,x1:re+Yt,y0:ne+Wt,y1:ie+Wt}}Xt.eventData=[Zt],Gt.push(Zt)}t._hoverdata=Gt;var ae=\"y\"===M&&(gt.length>1||vt.length>1)||\"closest\"===M&&mt&&vt.length>1,oe=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),se=z(vt,{gd:t,hovermode:M,rotateLabels:ae,bgColor:oe,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),le=se.hoverLabels;if(m.isUnifiedHover(M)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function A(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=R(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(S+p.y)-T(t.by/2-S))+T(t.by);else{var M=w(A*S+p.x),E=M+w(A*t.bx);u=t.crossPos+Math.min(M,E),c=t.crossPos+Math.max(M,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?k:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],E=g[s+1],L=M[M.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(M.push.apply(M,E),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(le,ae,b,se.commonLabelBoundingBox),F(le,ae,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=y.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Gt);h(n.select(l),ue?\"pointer\":\"\")}l&&!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,Ht)&&(Ht&&t.emit(\"plotly_unhover\",{event:e,points:Ht}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:Z,yaxes:K,xvals:rt,yvals:nt}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=q(i),o=H(i),s=z(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,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(y.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,m=g.offsetLeft,x=g.offsetTop;c+=m,f+=m,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.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,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,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:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=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&&(u=t.offset)})).each((function(t){t.offset-=u})),F(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var I=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||x.HOVERFONT,k=e.fontSize||x.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,L=e.fontVariant||i.font.variant,C=t[0],P=C.xa,I=C.ya,z=a.charAt(0),R=z+\"Label\",F=C[R];if(void 0===F&&\"multicategory\"===P.type)for(var B=0;B<t.length&&void 0===(F=t[B][R]);B++);var N=G(r,v),j=N.top,U=N.width,V=N.height,q=void 0!==F&&C.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(q){var H,W,Y=!0;for(H=0;H<t.length;H++)if(Y&&void 0===t[H].zLabel&&(Y=!1),W=t[H].hoverinfo||t[H].trace.hoverinfo){var X=Array.isArray(W)?W:W.split(\"+\");if(-1===X.indexOf(\"all\")&&-1===X.indexOf(a)){q=!1;break}}Y&&(q=!1)}var Z=h.selectAll(\"g.axistext\").data(q?[0]:[]);Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove();var K={minX:0,maxX:0,minY:0,maxY:0};if(Z.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v={weight:g.font.weight||A,style:g.font.style||M,variant:g.font.variant||L,family:g.font.family||T,size:g.font.size||k,color:g.font.color||h};e.style({fill:u,stroke:c}),s.text(F).call(p.font,v).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var y,m,x=G(r,s.node());if(\"x\"===a){var b=\"top\"===P.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===P.side?j-x.bottom-S-E:j-x.top+S+E),y=P._offset+(C.x0+C.x1)/2,m=I._offset+(\"top\"===P.side?0:I._length);var _=x.width/2+E,w=y;y<_?w=_:y>i.width-_&&(w=i.width-_),e.attr(\"d\",\"M\"+(y-w)+\",0L\"+(y-w+S)+\",\"+b+S+\"H\"+_+\"v\"+b+(2*E+x.height)+\"H\"+-_+\"V\"+b+S+\"H\"+(y-w-S)+\"Z\"),y=w,K.minX=y-_,K.maxX=y+_,\"top\"===P.side?(K.minY=m-(2*E+x.height),K.maxY=m-E):(K.minY=m+E,K.maxY=m+(2*E+x.height))}else{var O,z,D;\"right\"===I.side?(O=\"start\",z=1,D=\"\",y=P._offset+P._length):(O=\"end\",z=-1,D=\"-\",y=P._offset),m=I._offset+(C.y0+C.y1)/2,s.attr(\"text-anchor\",O),e.attr(\"d\",\"M0,0L\"+D+S+\",\"+S+\"V\"+(E+x.height/2)+\"h\"+D+(2*E+x.width)+\"V-\"+(E+x.height/2)+\"H\"+D+S+\"V-\"+S+\"Z\"),K.minY=m-(E+x.height/2),K.maxY=m+(E+x.height/2),\"right\"===I.side?(K.minX=y+S,K.maxX=y+S+(2*E+x.width)):(K.minX=y-S-(2*E+x.width),K.maxX=y-S);var R,B=x.height/2,N=j-x.top-B,U=\"clip\"+i._uid+\"commonlabel\"+I._id;if(y<x.width+2*E+S){R=\"M-\"+(S+E)+\"-\"+B+\"h-\"+(x.width-E)+\"V\"+B+\"h\"+(x.width-E)+\"Z\";var V=x.width-y+E;f.positionText(s,V,N),\"end\"===O&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=G(r,e.node());Math.round(i.width)<Math.round(x.width)&&t.attr(\"x\",V-i.width),e.remove()}))}else f.positionText(s,z*(E+S),N),R=null;var q=i._topclips.selectAll(\"#\"+U).data(R?[0]:[]);q.enter().append(\"clipPath\").attr(\"id\",U).append(\"path\"),q.exit().remove(),q.select(\"path\").attr(\"d\",R),p.setClipUrl(s,R?U:null,r)}t.attr(\"transform\",l(y,m))})),m.isUnifiedHover(a)){h.selectAll(\"g.hovertext\").remove();var J=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===J.length)return[];var $=i.hoverlabel,Q=$.font,tt={showlegend:!0,legend:{title:{text:F,font:Q},font:Q,bgcolor:$.bgcolor,bordercolor:$.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},et={font:Q};b(tt,et,r._fullData);var rt=et.legend;rt.entries=[];for(var nt=0;nt<J.length;nt++){var it=J[nt];if(\"none\"!==it.hoverinfo){var at=D(it,!0,a,i,F),ot=at[0],st=at[1];it.name=st,it.text=\"\"!==st?st+\" : \"+ot:ot;var lt=it.cd[it.index];lt&&(lt.mc&&(it.mc=lt.mc),lt.mcc&&(it.mc=lt.mcc),lt.mlc&&(it.mlc=lt.mlc),lt.mlcc&&(it.mlc=lt.mlcc),lt.mlw&&(it.mlw=lt.mlw),lt.mrc&&(it.mrc=lt.mrc),lt.dir&&(it.dir=lt.dir)),it._distinct=!0,rt.entries.push([it])}}rt.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),rt.layer=h,rt._inHover=!0,rt._groupTitleFont=$.grouptitlefont,_(r,rt);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function N(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,\"hoverinfo\",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var 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O=S,I=E;S=k?i.constrain(S,0,d.width-h._width):O,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==O&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var z=h._effHeight;T&&(z=h._height),U.attr({width:h._width-_,height:z-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:z-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,D,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(){var t=u.getTranslate(N);m=t.x,x=t.y},moveFn:function(t,r){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(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};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.indentation+r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function E(t,e,r){var a,o=e._context.doubleClickDelay,s=1,l=i.ensureSingle(t,\"rect\",r+\"toggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(c.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(l.on(\"mousedown\",(function(){(a=(new Date).getTime())-e._legendMouseDownTime<o?s+=1:(s=1,e._legendMouseDownTime=a)})),l.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var i=e._fullLayout[r];(new Date).getTime()-e._legendMouseDownTime>o&&(s=Math.max(s-1,1)),A(e,i,t,s,n.event)}})))}function L(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(r._inHover||!i||i.trace.showlegend){var a=t.select(\"g[class*=math-group]\"),o=a.node(),s=O(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function P(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function O(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,z=k&&k.length,D=[];if(z)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(z)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(t,\"png\"===e?\"Download plot as a png\":\"Download plot\")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||\"png\"};l.notifier(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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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\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(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))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.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 u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=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 h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(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(c(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(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=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,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===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=[],O=[],I=[],z=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"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)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||y?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==O.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(I)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.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 u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],P=l._rl[1],O=P-C;if(l.p2d=function(t){return t/l._width*O+C},l.d2p=function(t){return(t-C)/O*l._width},r.rangebreaks){var I=r.locateBreaks(C,P);if(I.length){var z,D,R=0;for(z=0;z<I.length;z++)R+=(D=I[z]).max-D.min;var F=l._width/(P-C-R),B=[-F*C];for(z=0;z<I.length;z++)D=I[z],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},23640:function(t,e,r){\"use strict\";var n=r(9856).readPaths,i=r(55496),a=r(1936).clearOutlineControllers,o=r(76308),s=r(43616),l=r(31780).arrayEditor,u=r(65152),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),z=I.MINSELECT,D=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){\"use strict\";var 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n=r(3400),i=r(54460),a=r(72736),o=r(43616),s=r(9856).readPaths,l=r(65152),u=l.getPathString,c=r(97728),f=r(84284).FROM_TL;t.exports=function(t,e,r,h){if(h.selectAll(\".shape-label\").remove(),r.label.text||r.label.texttemplate){var p;if(r.label.texttemplate){var d={};if(\"path\"!==r.type){var v=i.getFromId(t,r.xref),g=i.getFromId(t,r.yref);for(var y in c){var m=c[y](r,v,g);void 0!==m&&(d[y]=m)}}p=n.texttemplateStringForShapes(r.label.texttemplate,{},t._fullLayout._d3locale,d)}else p=r.label.text;var x,b,_,w,T={\"data-index\":e},k=r.label.font,A=h.append(\"g\").attr(T).classed(\"shape-label\",!0).append(\"text\").attr({\"data-notex\":1}).classed(\"shape-label-text\",!0).text(p);if(r.path){var M=u(t,r),S=s(M,t);x=1/0,_=1/0,b=-1/0,w=-1/0;for(var E=0;E<S.length;E++)for(var L=0;L<S[E].length;L++)for(var C=S[E][L],P=1;P<C.length;P+=2){var O=C[P],I=C[P+1];x=Math.min(x,O),b=Math.max(b,O),_=Math.min(_,I),w=Math.max(w,I)}}else{var 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],z=n[s][2],D=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(z=v(y.yaxis,z),D=v(y.yaxis,D),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(z+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-D+R-z)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function W(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=D(K,y),at=D(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(J)):r=r.concat(K)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Wt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Wt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Zt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Zt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,m=Yt(a,d,g)),m>1&&(void 0!==a.maxallowed&&st===(a.range[0]<a.range[1]?\"e\":\"w\")||void 0!==a.minallowed&&st===(a.range[0]<a.range[1]?\"w\":\"e\"))&&(m=1,b=0),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/O._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Yt(o,d,g)),x>1&&(void 0!==o.maxallowed&&lt===(o.range[0]<o.range[1]?\"n\":\"s\")||void 0!==o.minallowed&&lt===(o.range[0]<o.range[1]?\"s\":\"n\"))&&(x=1,T=0),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),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.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],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.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,u),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var 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t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.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\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).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]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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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)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},52094:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},64859:function(t,e,r){\"use strict\";var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*D);var 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p=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=c._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),W=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,z,D,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,z=null,D=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==z?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function u(t){return c(o?r:n,+t,!0).text}var f,h,p=i.textinfo,d=t[e],v=p.split(\"+\"),g=[],y=function(t){return-1!==v.indexOf(t)};if(y(\"label\")&&g.push((h=t[e].p,c(o?n:r,h,!0).text)),y(\"text\")&&(0===(f=a.castOption(i,d.i,\"text\"))||f)&&g.push(f),s){var m=+d.rawS||d.s,x=d.v,b=x-m;y(\"initial\")&&g.push(u(b)),y(\"delta\")&&g.push(u(m)),y(\"final\")&&g.push(u(x))}if(l){y(\"value\")&&g.push(u(d.s));var _=0;y(\"percent initial\")&&_++,y(\"percent previous\")&&_++,y(\"percent total\")&&_++;var w=_>1;y(\"percent initial\")&&(f=a.formatPercent(d.begR),w&&(f+=\" of initial\"),g.push(f)),y(\"percent previous\")&&(f=a.formatPercent(d.difR),w&&(f+=\" of previous\"),g.push(f)),y(\"percent total\")&&(f=a.formatPercent(d.sumR),w&&(f+=\" of total\"),g.push(f))}return g.join(\"<br>\")}(e,r,n,i):v.getValue(s.text,r),v.coerceString(m,o)}(I,n,i,S,O);k=function(t,e){var r=v.getValue(t.textposition,e);return v.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),W=d.getOutsideTextFont(D,i,q),Y=D.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===O.type&&X.s0<=0&&(f=O.range[0]<O.range[1]?O._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=z(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=z(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):P(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===D.type?\"bar\":D.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,O,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:P}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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O=C.selectAll(\"text\").data(P);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}O.enter().append(\"text\"),O.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),O.exit().remove();var z,D=v.mode+v.align;if(v._hasDelta&&(z=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.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 W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=c.selectAll(\"g.trace.parcats\").data(o,p),m=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),m.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return 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z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.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(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).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){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.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){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),h.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=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=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var 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,m(),!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 u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?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}t.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),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.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\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,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\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={weight:l.font.weight,style:l.font.style,variant:l.font.variant,family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={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 u=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*u,a.offset=2*l*n,e(a),l*n+u<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 v(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,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return o.extendFlat({key:f,resolution:[x,b],viewBoxPos:[s+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-s+y:u+.5)+(n===e?s+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,b,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.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\"},pattern:c,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:u({},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:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.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}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u}}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 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m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);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*v);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=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function 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,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),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:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(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}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,n=z(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=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),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.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}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(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 u=l.prototype;u.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:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.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=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=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++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),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=u.length,n=new Float32Array(2*e),r=new 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var P=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-P/2,A.nodes[w].y1=C[1]+P/2}\"snap\"===a.arrangement&&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(w=0;w<n.length;w++){var s=t[n[w].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}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(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-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(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-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:c.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function O(t){return t.link.width>1||t.linkLineWidth>0}function I(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function 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 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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}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.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\",o?\"none\":\"auto\").attr(\"transform\",I),_.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\",o?\"none\":\"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})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(52904),s=r(45464),l=r(49084),u=r(98192).u,c=r(92880).extendFlat,f=r(67824).overrideAll,h=o.marker,p=o.line,d=h.line;t.exports=f({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,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===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+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else 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 u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),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),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);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,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.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)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(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=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);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.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=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:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,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}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.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])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var z=x.c2p(y._yStarts[a]),D=x.c2p(y._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[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-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,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.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})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.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,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.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 v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.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=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.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}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,P=L.t,O=P.index,I=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.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 i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),q=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&z[H]*V<z[W]*V&&D[H]*q<D[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!s.uniformtext.mode&&b.hasTransition(r);f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),c?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(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:c(),y:c(),z:c()},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},56576:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).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++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=m[e],p.highlightColor[e]=w.contourColor[e]=c(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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m=\"contours.\"+y[c],x=h(m+\".show\"),b=h(m+\".highlight\");if(x||b)for(f=0;f<3;++f)h(m+\".project.\"+y[f]);x&&(h(m+\".color\"),h(m+\".width\"),h(m+\".usecolormap\")),b&&(h(m+\".highlightcolor\"),h(m+\".highlightwidth\")),h(m+\".start\"),h(m+\".end\"),h(m+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,u,h,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){\"use strict\";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(56576),plot:r(79164),moduleType:\"trace\",name:\"surface\",basePlotModule:r(12536),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},60520:function(t,e,r){\"use strict\";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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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\"}}},55992:function(t,e,r){\"use strict\";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(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(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return 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 this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=P>>>13,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,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|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,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,Y)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(D,K)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(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(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(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(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var zt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=zt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=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 c(this,n)},o.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 c(this,n)},o.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 c(this,n)},o.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 c(this,n)},o.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 c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.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 f=c.prototype;function h(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 p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"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}),f.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(f,\"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}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(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.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],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\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],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=c.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),u=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]})),c=!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)for(r=t.ticks,c=!0,this.autoTicks=!1,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,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),l(\"labelFontStyle\")&&(v=!0),l(\"labelFontWeight\")&&(v=!0),l(\"labelFontVariant\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var g=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],y=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,g,this.ticks,y):this._text=n(this.gl,this.bounds,this.labels,g,this.ticks,y),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,z=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,z,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,z=(A+1+(1^O))%3,this.zeroEnable[z]&&Math.min(a[0][z],a[1][z])<=0&&Math.max(a[0][z],a[1][z])>=0&&this._lines.drawZero(I,z,this.bounds,P,this.zeroLineColor[z],this.zeroLineWidth[z]*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 D=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];D[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).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()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,z=d([l[I],l[P],l[O],l[I+(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||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(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,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],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:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.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}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var O=d(g,c,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(O[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],P=v[x],O=n.length(P)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vertexIntensity.push(O,O,O),a.vertexIntensity.push(O,O,O);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var z,D;l?(z=m*(r[I]-u),D=m*(r[I+1]-u)):(z=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),D=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[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*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!O)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(I)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[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||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-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[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-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[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,z,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*O,D=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,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],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[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,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,z={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:z,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,D);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();z.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(z))}i.end()}}}()),F.axesPixels=a(F.axes,z,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(z)),S.axes=A,x.object&&S.draw(z),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(z),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=D,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(z),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(z);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(z),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(z)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var z=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,I));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=O,O=I,I=R;var F=C;C=P,P=F}z[0]<0&&(O[C]=-1),D[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var 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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 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var 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(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),z=C;O.push(I);var D=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(z,N)-A>-1e-4*A&&(P.push(N),z=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=z;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),z=Math.min(z,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),D=Math.max(D,K),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,z=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(z)||isNaN(D)){m&&(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)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var 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),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(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=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,W),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+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 Bt(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&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):zn(t)}function zn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(zn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new zt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},zi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};zi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},zi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var Di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(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=ue.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 Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(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},Fi.prototype.untransitioned=function(){for(var t=new Ni(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 Bi=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)};Bi.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 Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(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},Ni.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 ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.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},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(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 Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.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 Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};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.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(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 Ui(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 Ui(this,{kind:\"constant\",value:s},e)}return new Ui(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}(Hi),Wi=function(t){this.specification=t};Wi.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 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Vi(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($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(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)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,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 Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=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},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(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:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.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},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.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)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){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}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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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}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.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}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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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}($i);Ma.prototype.size=48;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 Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification[\"property-type\"],f=\"cross-faded\"===c||\"cross-faded-data-driven\"===c;if(\"constant\"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||f){var h=ho(i,l,\"source\");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push(\"/a_\"+i)}else{var p=ho(i,l,\"composite\");this.binders[i]=new so(s,o,l,u,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.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 u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)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},uo.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,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),u=Ys.types[this.type];function c(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(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($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.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 Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=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 ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.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)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[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];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=zo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,z=new a((k+s)/L,(A+l)/L);z.z=E/L,y.push(z);var D=new a(C/I,P/I);D.z=O/I,m.push(D)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;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.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.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)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),z=1;z<I;z++){var D=z/I;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=g.sub(v)._mult(D)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.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 this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,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&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(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&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,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,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.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*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.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)},su.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})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,z=Ll,D=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:D?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),z=P.advance;var B=D?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}D?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=z*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.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&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function zu(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:z,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(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 ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,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*u,16*c,256*f,256*h)}function lc(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 uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.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=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.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 he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,z=k.sections;I<z.length;I+=1){var D=z[I];if(D.image)f[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,z=C[1];sc(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(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),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.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))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},hc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],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},hc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var 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)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.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},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.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()||cn(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 hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.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 he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=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}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.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)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=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()})};Lc.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))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Pc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Cc.prototype.send=function(t,e,r,n,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=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Cc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(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?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=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]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof zc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(zc.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 zc(e.lng,e.lat),this._ne=new zc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new zc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new zc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new zc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=zc.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},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,zc=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\")};zc.prototype.wrap=function(){return new zc(h(this.lng,-180,180),this.lat)},zc.prototype.toArray=function(){return[this.lng,this.lat]},zc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},zc.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 Ic*Math.acos(Math.min(i,1))},zc.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 Oc(new zc(this.lng-r,this.lat-e),new zc(this.lng+r,this.lat+e))},zc.convert=function(t){if(t instanceof zc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new zc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new zc(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 Dc=2*Math.PI*Ic;function Rc(t){return Dc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=zc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new zc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Dc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(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)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(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)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.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},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(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 Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.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))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=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 k('\"'+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)]};Wc.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])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.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)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=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}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=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},Zc={geometry:{configurable:!0}};Zc.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},Zc.geometry.set=function(t){this._geometry=t},Xc.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(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.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]||{},p(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]},Kc.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}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},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},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.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]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(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 tf(t,e){return e-t}Jc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new zi(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new zi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.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},Jc.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},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),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\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.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 hc){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 hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Pi()||Oi();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 Aa},ef.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\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.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 Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.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=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new zi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new zi(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(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}},ef.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)},ef.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)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.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},ef.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 rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=zi,t.Event=zt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=zc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=Da,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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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++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var z=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:z,image:I,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(zt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(zt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function zt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={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 Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Xt(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 Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var z=0,D=v;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var z=C.map((function(t){return re(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;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,z=0,D=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=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&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(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),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||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?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(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,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=ze(y.text),k=_?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=ze(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:De;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?De:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var z=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var D=!0;if(u){var R=i.variableOffsets[v];R?(z=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||_,z.x,z.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?z.x:0,h?z.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function ze(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}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(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));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._afterImageUpdated(e)},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._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),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 only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(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 required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform 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 exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\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,v_uv);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;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\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;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},zr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=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\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=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:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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 Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={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_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),u_image_height:new t.Uniform1f(e,r.u_image_height)}},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 nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,zr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,O,I,z,0),k.emplace(A++,P,O,I,z,1),k.emplace(A++,P,O,I,z,2),k.emplace(A++,P,O,I,z,3)}(!Kr||Kr.length<2*h)&&(Kr=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(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,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 an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var z=0;z<O.numGlyphs;z++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,z=y||0!==v.pitch,D=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=z||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||z?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(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 An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&un(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)&&un(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&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(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))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var z=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=b.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;z=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:z,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.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()}},Sn.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,Xe.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,Xe.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.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),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.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)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.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},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.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},Sn.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 Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.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()},Sn.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)},Sn.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)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.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 En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.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 Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=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};Cn.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},Cn.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)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=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 Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={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}};Pn.prototype.clone=function(){var t=new Pn(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},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.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))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.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())},On.fov.get=function(){return this._fov/Math.PI*180},On.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())},On.zoom.get=function(){return this._zoom},On.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())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.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)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.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=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.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)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.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())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.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])},Pn.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)))},Pn.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},Pn.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])},Pn.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]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.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},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Pn.prototype,On);var In=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})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.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(\"/\")},In.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},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var zn={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},zn),Rn=t.extend({deceleration:20,maxSpeed:1400},zn),Fn=t.extend({deceleration:1e3,maxSpeed:360},zn),Bn=t.extend({deceleration:1e3,maxSpeed:90},zn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(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)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.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=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(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 Vn=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),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.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\"}}},Yn.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)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.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},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.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=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.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 Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var 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.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=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}(Qn),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._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.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]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._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(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),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:li(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=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}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.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,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.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 this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,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})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.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%vi==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()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.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())}},gi.prototype.renderFrame=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)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.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},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.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})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.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))},xi.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)},xi.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)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.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\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},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}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(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:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.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)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.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},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.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)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=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){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},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))/_,I=function(){return 0},O=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/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}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),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.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._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),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},Ei.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},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.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\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.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)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.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},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.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 Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.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)}},Ci.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},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"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\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,zi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,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},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,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>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(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 Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,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 Ii))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\",\"_onMapScroll\",\"_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),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(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 Ei({customAttribution:e.customAttribution})),this.addControl(new Li,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&&(r=e.getDefaultPosition?e.getDefaultPosition():\"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.hasControl=function(t){return this._controls.indexOf(t)>-1},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?Di:t)>Di)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 Vn(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 Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Oi||zi&&r instanceof zi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Oi||zi&&r instanceof zi?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 Oi||zi&&r instanceof zi);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\"),this._canvas.setAttribute(\"role\",\"region\");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)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},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 Sn(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._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),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(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(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}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,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))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.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},ji.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 Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.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},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({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 Vi(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}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.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)}},Ui.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()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.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)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.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))},Ui.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))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={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 Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){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._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!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 a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{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<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.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\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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\"),v.appendChild(g);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 m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),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()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(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,qi[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){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(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._pointerdownPos=null,this._isDragging=!1,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._pointerdownPos=t.point,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),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!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&&Zi)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 Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({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\":Xi--,Zi=!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\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!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),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.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},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=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\")};ea.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},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.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)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.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())},ea.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 ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),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._focusFirstElement(),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){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),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.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){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(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&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 e._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=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=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 Ft.workerCount},set workerCount(t){Ft.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 oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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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 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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 / 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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 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(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{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=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);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.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}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var z=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=D.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.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),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],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,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=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(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var 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 c=[];function f(t){var e=[u(t.region,!1)];c.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 u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.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 i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}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 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},11403:function(t){t.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(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=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.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:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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\\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:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var 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 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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}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"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=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\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\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.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},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.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},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=h(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette 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=c({},x.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,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,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,l=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=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(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=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({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 u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}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=g.fract(e.scale),e.translateFract=g.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])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=v[4*D],E[8*z+1]=v[4*D+1],E[8*z+2]=v[4*D+2],E[8*z+3]=v[4*D+3];var R=O[z];E[8*z+4]=v[4*R],E[8*z+5]=v[4*R+1],E[8*z+6]=v[4*R+2],E[8*z+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.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},x.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 s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(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[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.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)}},x.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 b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(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}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(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]}t.exports=c,c.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)},c.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,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.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 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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(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],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 v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;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:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},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],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-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},c.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 u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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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},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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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 this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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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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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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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},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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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 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function 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 this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,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 u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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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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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = go.Figure(\n",
    "    data=[\n",
    "        go.Candlestick(\n",
    "            x=usdjpy[\"time\"],\n",
    "            open=usdjpy[\"open\"],\n",
    "            high=usdjpy[\"high\"],\n",
    "            low=usdjpy[\"low\"],\n",
    "            close=usdjpy[\"close\"],\n",
    "        )\n",
    "    ]\n",
    ")\n",
    "\n",
    "fig.update_layout(\n",
    "    xaxis_rangeslider_visible=False, autosize=False, width=1100, height=700\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b47424cc-399f-450c-9e44-d0ae4412db8e",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> MA Model </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67fc51df-af6a-4142-8b4b-5280036a06ad",
   "metadata": {},
   "source": [
    "Here is an $\\text{MA(1)}$ model\n",
    "$$\n",
    "Y_{t}= u_{t}+\\theta_{1} u_{t-1}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "fe541701-abc2-4f6f-a2af-7bcb4cd4450b",
   "metadata": {},
   "outputs": [],
   "source": [
    "ar_params = np.array([1])\n",
    "ma_params = np.array([1, 0.9])\n",
    "ma1 = ArmaProcess(ar_params, ma_params)\n",
    "ma1_sim = ma1.generate_sample(nsample=100)\n",
    "ma1_sim = pd.DataFrame(ma1_sim, columns=[\"MA(1)\"])\n",
    "ma1_acf = acf_func(ma1_sim.values, fft=False, nlags=50)\n",
    "\n",
    "ar_params1 = np.array([1])\n",
    "ma_params1 = np.array([1, -0.9])\n",
    "ma1_neg = ArmaProcess(ar_params1, ma_params1)\n",
    "ma1_sim_neg = ma1_neg.generate_sample(nsample=100)\n",
    "ma1_sim_neg = pd.DataFrame(ma1_sim_neg, columns=[\"MA(1)\"])\n",
    "ma1_acf_neg = acf_func(ma1_sim_neg.values, fft=False, nlags=50)\n",
    "\n",
    "ar_params2 = np.array([1])\n",
    "ma_params2 = np.array([1, 0.8, 0.2])\n",
    "ma2 = ArmaProcess(ar_params2, ma_params2)\n",
    "ma2_sim = ma2.generate_sample(nsample=100)\n",
    "ma2_sim = pd.DataFrame(ma2_sim, columns=[\"MA(2)\"])\n",
    "ma2_acf = acf_func(ma2_sim.values, fft=False, nlags=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "af7929e5-e45f-48f9-9501-cfe341ffd7da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(25, 10), nrows=2, ncols=3)\n",
    "ax[0, 0].plot(ma1_sim, label=\"$Y_t = u_t + {%s} u_{t-1}$\" % (ma_params[1]))\n",
    "ax[0, 0].legend()\n",
    "ax[1, 0].bar(\n",
    "    np.arange(len(ma1_acf)), ma1_acf, color=\"tomato\", label=\"MA(1) autocorrelation\"\n",
    ")\n",
    "ax[1, 0].legend()\n",
    "\n",
    "ax[0, 1].plot(ma1_sim_neg, label=\"$Y_t =  u_t  {%s} u_{t-1}$\" % (ma_params1[1]))\n",
    "ax[0, 1].legend()\n",
    "ax[1, 1].bar(\n",
    "    np.arange(len(ma1_acf_neg)),\n",
    "    ma1_acf_neg,\n",
    "    color=\"tomato\",\n",
    "    label=\"MA(1) autocorrelation\",\n",
    ")\n",
    "ax[1, 1].legend()\n",
    "\n",
    "ax[0, 2].plot(\n",
    "    ma2_sim,\n",
    "    label=\"$Y_t =  u_t   +{%s} u_{t-1}+ {%s} u_{t-2}  $\"\n",
    "    % (ma_params2[1], ma_params2[2]),\n",
    ")\n",
    "ax[0, 2].legend()\n",
    "ax[1, 2].bar(\n",
    "    np.arange(len(ma2_acf)), ma2_acf, color=\"tomato\", label=\"MA(2) autocorrelation\"\n",
    ")\n",
    "ax[1, 2].legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47672125-dbb9-444a-86ca-980449620630",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\">  Estimation and Forecast of MA</font> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "82e9947e-052c-4172-8c3e-b0abe7baa031",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               SARIMAX Results                                \n",
      "==============================================================================\n",
      "Dep. Variable:                  MA(1)   No. Observations:                  100\n",
      "Model:                 ARIMA(0, 0, 1)   Log Likelihood                -125.815\n",
      "Date:                Sun, 09 Jun 2024   AIC                            257.630\n",
      "Time:                        19:00:36   BIC                            265.445\n",
      "Sample:                             0   HQIC                           260.793\n",
      "                                - 100                                         \n",
      "Covariance Type:                  opg                                         \n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          0.0042      0.003      1.348      0.178      -0.002       0.010\n",
      "ma.L1         -0.9993      1.873     -0.534      0.594      -4.669       2.671\n",
      "sigma2         0.6927      1.274      0.544      0.587      -1.805       3.191\n",
      "===================================================================================\n",
      "Ljung-Box (L1) (Q):                   3.28   Jarque-Bera (JB):                 0.13\n",
      "Prob(Q):                              0.07   Prob(JB):                         0.94\n",
      "Heteroskedasticity (H):               0.93   Skew:                            -0.03\n",
      "Prob(H) (two-sided):                  0.85   Kurtosis:                         2.84\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
     ]
    }
   ],
   "source": [
    "mod_obj = ARIMA(ma1_sim_neg, order=(0, 0, 1))\n",
    "result = mod_obj.fit()\n",
    "print(result.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "887b1f0c-7179-4858-8599-e8a604810fc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "res_predict = result.predict(start=5, end=110)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c998f352-9a59-4ae4-b919-666abc220aa6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ma1_sim_neg.plot(figsize=(16, 8))\n",
    "res_predict.plot(\n",
    "    label=\"in-/out-sample forecast\", title=\"Prediction And Forecast of MA(1)\"\n",
    ")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a1af083-64f6-4f15-a32f-3930ce835e33",
   "metadata": {},
   "source": [
    "Note that all forecasts beyond one-step ahead forecast will all be the same, namely a straight line."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98603940-7575-453f-8fb2-7c536adcfe1e",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Connection of AR and MA </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fde87e37-f630-4475-8c19-c91ab72fd0f5",
   "metadata": {},
   "source": [
    "We can show any $\\text{AR(1)}$ can be rewritten as an $\\text{MA($\\infty$)}$ model\n",
    "$$\n",
    "\\text{AR(1)}: \\qquad Y_{t}=\\phi_0+\\phi_{1} Y_{t-1}+u_{t}\n",
    "$$\n",
    "Perform a recursive substitution\n",
    "\\begin{align}\n",
    "y_t &= \\phi_0 + \\phi_1(\\phi_0 + \\phi_1y_{t-2}+u_{t-1})+u_t = \\phi_0 + \\phi_1\\phi_0+\\phi_1^2y_{t-2}+\\phi_1u_{t-1}+u_t\\\\\n",
    "    &= \\phi_0 + \\phi_1\\phi_0+\\phi_1^2(\\phi_0+\\phi_1y_{t-3}+u_{t-2})+\\phi_1u_{t-1}+u_t=\\phi_0 + \\phi_1\\phi_0 +\\phi_1^2\\phi_0 +\\phi_1^3y_{t-3}+\\phi_1^2u_{t-2}+\\phi_1u_{t-1}+u_t\\\\\n",
    "    &\\qquad\\vdots\\\\\n",
    "    &=\\frac{\\phi_0}{1-\\phi_1}+\\sum_{i=0}^\\infty\\phi_1^iu_{t-1}\n",
    "\\end{align}\n",
    "It holds because of the fact\n",
    "$$\n",
    "\\lim_{i\\rightarrow\\infty}\\phi_1^iy_{t-i}=0\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "00d39b76-6436-43ed-a7a3-39cd527a0198",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(12, 8))\n",
    "ar = np.array([1])\n",
    "ma = np.array([0.8**i for i in range(100)])\n",
    "mod_obj = ArmaProcess(ar, ma)\n",
    "ma_sim = mod_obj.generate_sample(nsample=200)\n",
    "g = plot_acf(\n",
    "    ma_sim, ax=ax[0], lags=50, title=\"$MA(\\infty), \\phi_i = .9^i, i\\in \\mathbb{Z}^+$\"\n",
    ")\n",
    "\n",
    "ar = np.array([1, -0.8])\n",
    "ma = np.array([1])\n",
    "mod_obj = ArmaProcess(ar, ma)\n",
    "ar_sim = mod_obj.generate_sample(nsample=200)\n",
    "g = plot_acf(ar_sim, ax=ax[1], lags=50, title=\"$AR(1), \\phi=.9$\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faff85ae-6651-4b7a-81a3-e0fcdf2d7044",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> ARMA and ARIMA </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74d9995f-8d23-4bc7-bbf4-9df74599b64f",
   "metadata": {},
   "source": [
    "Now we combine $\\text{AR}$ and $\\text{MA}$ models as $\\text{ARMA}$ and $\\text{ARMIA}$."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b6c72a5-b010-48c8-9477-ef94e6a1b6f4",
   "metadata": {},
   "source": [
    "An $\\text{ARMA}(1,1)$ process is a combination of $\\text{AR}$ and $\\text{MA}$\n",
    "$$\n",
    "Y_{t}=\\phi_0+\\phi_{1} Y_{t-1}+\\theta_{0} u_{t}+\\theta_{1} u_{t-1}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4318d63b-15a1-4abc-aca4-a55cec405ec7",
   "metadata": {},
   "source": [
    "In general, $\\text{ARMA}(p,q)$ process has the form\n",
    "$$\n",
    "Y_t = \\phi_0 + \\phi_i\\sum_{i=1}^pY_{t-i}+\\sum_{i=1}^q\\theta_i u_{t-i}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "216d1b67-0c58-4c3e-868b-61e8a58c2eb7",
   "metadata": {},
   "source": [
    "And $\\text{ARIMA}$ model is essentially the same as $\\text{ARMA}$, if we have to difference a series $d$ times to render it stationary then apply the $\\text{ARIMA}$ model, we say that the original time series is $\\text{ARIMA}(p,d,q)$. \n",
    "\n",
    "With the same token, $\\text{ARIMA}(p,0,q)$ process is the same as $\\text{ARMA}(p,q)$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "710ffa2a-2beb-432d-b9ea-1e58dded3873",
   "metadata": {},
   "outputs": [],
   "source": [
    "usdjpy = pd.read_csv(\"USDJPY_1m.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7162b7c8-3932-4f95-b708-c1b53f668c0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "usdjpy_close = usdjpy[\"close\"].dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "f8cfe5dc-24d6-4b7c-8d9a-6765d2f2adef",
   "metadata": {},
   "outputs": [],
   "source": [
    "mod_obj = ARIMA(usdjpy_close, order=(2, 1, 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6e2f233f-d8f5-4203-8d56-2784040ef62e",
   "metadata": {},
   "outputs": [],
   "source": [
    "results = mod_obj.fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "578931a8-767a-4d80-89f5-ae6de5c8ad06",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               SARIMAX Results                                \n",
      "==============================================================================\n",
      "Dep. Variable:                  close   No. Observations:                 5000\n",
      "Model:                 ARIMA(2, 1, 2)   Log Likelihood               17568.668\n",
      "Date:                Sun, 09 Jun 2024   AIC                         -35127.336\n",
      "Time:                        19:00:38   BIC                         -35094.751\n",
      "Sample:                             0   HQIC                        -35115.915\n",
      "                               - 5000                                         \n",
      "Covariance Type:                  opg                                         \n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "ar.L1          0.9867      0.553      1.785      0.074      -0.097       2.070\n",
      "ar.L2         -0.2962      0.530     -0.559      0.576      -1.334       0.742\n",
      "ma.L1         -0.9737      0.555     -1.753      0.080      -2.062       0.115\n",
      "ma.L2          0.2785      0.533      0.522      0.601      -0.767       1.324\n",
      "sigma2       5.18e-05   5.06e-07    102.362      0.000    5.08e-05    5.28e-05\n",
      "===================================================================================\n",
      "Ljung-Box (L1) (Q):                   0.01   Jarque-Bera (JB):              8939.75\n",
      "Prob(Q):                              0.94   Prob(JB):                         0.00\n",
      "Heteroskedasticity (H):               0.48   Skew:                            -0.26\n",
      "Prob(H) (two-sided):                  0.00   Kurtosis:                         9.53\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n"
     ]
    }
   ],
   "source": [
    "print(results.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8ef50c1d-8619-4461-ac8d-b21c90e130ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = tsa.plot_predict(results, 100, 5100)\n",
    "usdjpy_close.plot(figsize=(18, 8))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54bccf8c-8928-4931-b2c6-6de9452477bf",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> The Box-Jenkins Methodology </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61113dbc-f136-4671-ac99-541d7c5ac909",
   "metadata": {},
   "source": [
    "With so many options at hands, what model to apply to a time series? This is where **Box-Jenkins Methodology** kick in, which provides a systematic method of **identifying**, **estimating** and **checking** with $\\text{ARIMA}$ models. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c5ea3b1-ea36-4711-8c26-d0f287e73c7e",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> ACF VS PACF </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1449284d-c9ad-48db-89c6-4fd650463629",
   "metadata": {},
   "source": [
    "Before discussion of $\\text{ARIMA}$ identification, we should understand the difference of **autocorrelation function** (ACF) and **partial autocorrelation function** (PACF), which both are important tools for identifying lags of $\\text{ARIMA}$."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e541493a-d7bf-4ced-b1c8-60c5bc9c48a9",
   "metadata": {},
   "source": [
    "We have shown that the formula of sample ACF\n",
    "\\begin{aligned}\n",
    "&\\hat{\\gamma}_{k}=\\frac{\\sum\\left(Y_{t}-\\bar{Y}\\right)\\left(Y_{t+k}-\\bar{Y}\\right)}{n-k} \\\\\n",
    "&\\hat{\\gamma}_{0}=\\frac{\\sum\\left(Y_{t}-\\bar{Y}\\right)^{2}}{n-1}\\\\\n",
    "&\\hat{\\rho}_{k} =\\frac{\\hat{\\gamma}_{k}}{\\hat{\\gamma}_{0}}=\\frac{\\text { covariance at lag } k}{\\text { variance }}\n",
    "\\end{aligned}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5ca7bc9-cbbb-441c-94b3-dd1441eac0d4",
   "metadata": {},
   "source": [
    "However, PACF doesn't have a formula. Simply speaking, PACF requires removing all correlations in between. e.g. if you are measuring variables $k$ periods apart, then all influences from other variables in period $<k$ should be eliminated.\n",
    "\n",
    "Regression with demeaned variables can give us the partial autocorrelation, e.g. \n",
    "$$\n",
    "y_t-\\bar{y}=\\phi_{21} (y_{t-1}-\\bar{y})+\\phi_{22} (y_{t-2}-\\bar{y})+\\phi_{33} (y_{t-3}-\\bar{y})+u_{t}\n",
    "$$\n",
    "Estimates of $\\phi_{kk}$ is the partial correlation at lag $3$."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57dd2492-3a85-4e63-9be8-ec9757e5582a",
   "metadata": {},
   "source": [
    "So how to use ACF and PACF to identify the lags of $\\text{ARMA}$ model? First we transform the original data into log difference, then plot both correlograms. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "279c1133-3580-47ae-8625-b62460e8d39f",
   "metadata": {},
   "outputs": [],
   "source": [
    "start = dt.datetime(1980, 1, 1)\n",
    "end = dt.datetime(2021, 10, 1)\n",
    "df_cpi = pdr.data.DataReader([\"CPIAUCSL\"], \"fred\", start, end)\n",
    "df_cpi.columns = [\"urban_CPI\"]\n",
    "df_cpi = df_cpi.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f0cbaa03-f44d-4e72-9697-64c987a15988",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(16, 8))\n",
    "fig = plot_acf(\n",
    "    np.log(df_cpi).diff().dropna(),\n",
    "    ax=ax[0],\n",
    "    lags=100,\n",
    "    color=\"red\",\n",
    "    zero=False,\n",
    "    title=\"ACF of Urban CPI\",\n",
    ")\n",
    "fig = plot_pacf(\n",
    "    np.log(df_cpi).diff().dropna(),\n",
    "    ax=ax[1],\n",
    "    lags=100,\n",
    "    color=\"red\",\n",
    "    zero=False,\n",
    "    title=\"PACF of Urban CPI\",\n",
    "    method=\"ols\",\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "992510c9-5cad-4d11-80d6-7aeda135010d",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Simulation of ACF and PACF </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "088cf605-7775-4c00-96a2-2fe8258cc974",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "arparams = np.array([[0.63, -0.5], [-0.23, 0.8], [-0.5, -0.5]])\n",
    "maparams = np.array([[0.58, 0.45], [0.78, 0.34], [0.8, 0.8]])\n",
    "\n",
    "fig, ax = plt.subplots(nrows=2, ncols=3, figsize=(16, 5))\n",
    "fig.tight_layout(pad=2.0)\n",
    "ar = np.r_[1, -arparams[0]]\n",
    "ma = np.r_[1, maparams[0]]\n",
    "arma22 = ArmaProcess(ar, ma).generate_sample(nsample=500)\n",
    "fig = plot_acf(arma22, ax=ax[0, 0])\n",
    "fig = plot_pacf(arma22, ax=ax[1, 0], method=\"ols\")\n",
    "\n",
    "ar = np.r_[1, -arparams[1]]\n",
    "ma = np.r_[1, maparams[1]]\n",
    "arma22 = ArmaProcess(ar, ma).generate_sample(nsample=500)\n",
    "fig = plot_acf(arma22, ax=ax[0, 1])\n",
    "fig = plot_pacf(arma22, ax=ax[1, 1], method=\"ols\")\n",
    "\n",
    "ar = np.r_[1, -arparams[2]]\n",
    "ma = np.r_[1, maparams[2]]\n",
    "arma22 = ArmaProcess(ar, ma).generate_sample(nsample=500)\n",
    "fig = plot_acf(arma22, ax=ax[0, 2])\n",
    "fig = plot_pacf(arma22, ax=ax[1, 2], method=\"ols\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f493e1fc-3789-4d3c-acc3-555c1796a4c9",
   "metadata": {},
   "source": [
    "How you set the parameters has to be consistent with lag operator form of $\\text{ARMA}$ model as below, which is the exact reason we set the opposite sign of $\\phi$'s."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1020a03-76cb-4df8-a089-daeb5a83cff2",
   "metadata": {},
   "source": [
    "$$\n",
    "\\left(1-\\phi_{1}L-\\ldots-\\phi_{p}L^{p}\\right)y_{t} =\n",
    "        \\left(1+\\theta_{1}L+\\ldots+\\theta_{q}L^{q}\\right)\\varepsilon_{t}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72c4e586-d76e-4cd7-9e94-de7e65151219",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> Identification of ARMA </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f23380f-5f0e-49e4-b808-023b211766e6",
   "metadata": {},
   "source": [
    "The identification of $\\text{ARMA}$ doesn't have clear-cut rules, but here are four guideline to help you decide the lags of $\\text{ARMA}$ model.\n",
    "1. If PACF shows significant lags through $p$ and ACF dampens exponentially, try $\\text{AR}(p)$\n",
    "2. If ACF shows significant lags through $q$ and PACF dampens exponentially, try $\\text{MA}(q)$\n",
    "3. Both ACF and PACF dampen exponentially with significant lags $(p, q)$, try $\\text{ARMA}(p, q)$ "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0b7faa3-5954-47f2-8dd9-2ffedb17bbbe",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> Vector Autoregression (VAR) </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebda2de1-0f37-4af4-8f66-e1fbd1163e6a",
   "metadata": {},
   "source": [
    "A **Vector Autogression** model has at least two variables, though it seems like a system of equations, every equation can be estimated by independently by OLS. This is viable because VAR model doesn't differentiate endogenous or exogenous variables."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d000312-81c8-4b68-9a79-6b07d4722990",
   "metadata": {},
   "source": [
    "The general two variable $\\text{VAR(p)}$ model has the form\n",
    "\\begin{align}\n",
    "Y_t &= \\alpha_1 + \\sum_{i=1}^p\\beta_i Y_{t-i} +\\sum_{i=1}^p\\gamma_i X_{t-i}+u_{1t}\\\\\n",
    "X_t &= \\alpha_2 + \\sum_{i=1}^p\\eta_i X_{t-i} +\\sum_{i=1}^p\\theta_i Y_{t-i}+u_{2t}\n",
    "\\end{align}\n",
    "where $Y$ and $X$ are variables, $\\alpha$'s are constants, $u_1$ and $u_t$ are shocks in the context of VAR."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa0b2905-6fd0-4f55-8043-219ea0514c63",
   "metadata": {},
   "source": [
    "Note that VAR is a type atheortical model, unlike simultaneous-equation models, VAR doesn't deal with model identification which is a good news for practitioners. However, it doesn't mean you can add any variables into the model, if the variables have little connection with each other, the forecasting power is also severely undermined. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6f35395-5493-4d62-8ec3-427749a98cfd",
   "metadata": {},
   "source": [
    "To illustrate estimation process, we import quarterly GDP and monthly consumer sentiment from FRED, however in order to take advantage of abundant monthly observation of consumer sentiment, quarterly GDP shall be resampled into monthly by linear interpolation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5591bbe5-d3c7-450f-8dfa-ce80f7657f71",
   "metadata": {},
   "outputs": [],
   "source": [
    "start = dt.datetime(1980, 1, 1)\n",
    "end = dt.datetime(2021, 10, 1)\n",
    "df = pdr.data.DataReader([\"GDP\", \"UMCSENT\"], \"fred\", start=start, end=end)\n",
    "df.dropna()\n",
    "df.columns = [\"GDP\", \"Consumer_confidence\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "cb864501-5a3d-4e1b-a69b-32aeccd28878",
   "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>GDP</th>\n",
       "      <th>Consumer_confidence</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1980-01-01</th>\n",
       "      <td>2789.842000</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-02-01</th>\n",
       "      <td>2792.345333</td>\n",
       "      <td>66.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-03-01</th>\n",
       "      <td>2794.848667</td>\n",
       "      <td>56.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-04-01</th>\n",
       "      <td>2797.352000</td>\n",
       "      <td>52.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980-05-01</th>\n",
       "      <td>2817.062333</td>\n",
       "      <td>51.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    GDP  Consumer_confidence\n",
       "DATE                                        \n",
       "1980-01-01  2789.842000                 67.0\n",
       "1980-02-01  2792.345333                 66.9\n",
       "1980-03-01  2794.848667                 56.5\n",
       "1980-04-01  2797.352000                 52.7\n",
       "1980-05-01  2817.062333                 51.7"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"GDP\"] = df[\"GDP\"].resample(\"MS\").interpolate(method=\"linear\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc227054-5f91-4f6d-ab9b-585f843db6c7",
   "metadata": {},
   "source": [
    "Inspect the dataframe, we have quite abundant observations, $504$ in total."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "32f88424-1aff-48f0-8900-ff07286f7a3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 502 entries, 1980-01-01 to 2021-10-01\n",
      "Freq: MS\n",
      "Data columns (total 2 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   GDP                  502 non-null    float64\n",
      " 1   Consumer_confidence  502 non-null    float64\n",
      "dtypes: float64(2)\n",
      "memory usage: 11.8 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "987489bb-d309-4419-b38f-e5f57fdd3d8a",
   "metadata": {},
   "source": [
    "Perform ADF test, keep in mind that $H_0$ of Augmented Dicky-Fuller test is nonstationary. The results indicate that we only reject null hypothesis that consumer sentiment index is nonstationary, i.e. highly likely consumer sentiment is stationary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "91ce0378-e95f-46b3-a17b-d975b0de78aa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ADF Statistic of Quarterly GDP: 3.861765\n",
      "p-value: 1.000000\n"
     ]
    }
   ],
   "source": [
    "results_dickeyfuller = adfuller(df[\"GDP\"])\n",
    "print(\"ADF Statistic of Quarterly GDP: %f\" % results_dickeyfuller[0])\n",
    "print(\"p-value: %f\" % results_dickeyfuller[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "8553cad6-cf92-43e4-9b28-eafac3bd6259",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ADF Statistic of Consumer Sentiment: -3.007303\n",
      "p-value: 0.034218\n"
     ]
    }
   ],
   "source": [
    "results_dickeyfuller = adfuller(df[\"Consumer_confidence\"])\n",
    "print(\"ADF Statistic of Consumer Sentiment: %f\" % results_dickeyfuller[0])\n",
    "print(\"p-value: %f\" % results_dickeyfuller[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d6da209-bf30-4bbf-bff8-4f597dbe3b4b",
   "metadata": {},
   "source": [
    "Change GDP level data into growth rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a7e8a4c4-1001-447f-bf0d-6031daa45d9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"GDP_growth\"] = df[\"GDP\"].pct_change()\n",
    "df = df.dropna()\n",
    "df = df.drop([\"GDP\"], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93d4e601-49ba-4005-be1b-bda9c8be3024",
   "metadata": {},
   "source": [
    "Observe the moving pattern of both series."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "c90576ff-ca5f-452f-9c51-791ceb89b9b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(secondary_y=\"Consumer_confidence\", figsize=(16, 7))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8af2086f-9b60-4c40-9130-953ca99b2a9b",
   "metadata": {},
   "source": [
    "Test stationarity of GDP growth rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "06dc9e48-20ba-4aa2-b433-5f9a2b340eda",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ADF Statistic: -4.666394\n",
      "p-value: 0.000097\n"
     ]
    }
   ],
   "source": [
    "results_dickeyfuller = adfuller(df[\"GDP_growth\"])\n",
    "print(\"ADF Statistic: %f\" % results_dickeyfuller[0])\n",
    "print(\"p-value: %f\" % results_dickeyfuller[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb2bdbd5-e52c-41b4-bf06-304970e40c2c",
   "metadata": {},
   "source": [
    "The result indicates GDP growth rate is stationary. Then we instantiate a VAR object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "d788d1e0-a2d3-4edb-9ea4-8c1a4eb1d202",
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.api import VAR\n",
    "\n",
    "var_model = VAR(df, freq=\"MS\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74d110da-c8c5-438b-8105-a4792f92d41f",
   "metadata": {},
   "source": [
    "Fit the model, order of lags is chosen based on $\\text{BIC}$ though both criteria will be calculated. The default maximum tested lags are $12$ and I suggest no more than $12$, the VAR parameters consumes degree of freedom fast!\n",
    "\n",
    "Suppose you have a $5$ variable with $5$ lags VAR model, each equation has $25+1=26$ parameters, in total $26\\times5=130$ parameters, that means your observations must way more than this number to function properly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "cbc62107-c5c4-4fe5-9b2e-17243b52ea44",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<statsmodels.tsa.vector_ar.var_model.LagOrderResults object. Selected orders are: AIC -> 7, BIC -> 4, FPE -> 7, HQIC ->  7>\n",
      "Using 4 based on bic criterion\n"
     ]
    }
   ],
   "source": [
    "var_results = var_model.fit(verbose=True, ic=\"bic\", method=\"ols\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00f26cff-5574-40b1-bf65-00f475d4f0e3",
   "metadata": {},
   "source": [
    "Python streamlined the whole process, after choosing the appropriate lags, estimation can be promptly printed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "811771f9-f2e5-45a7-911d-529fce475b50",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Summary of Regression Results   \n",
      "==================================\n",
      "Model:                         VAR\n",
      "Method:                        OLS\n",
      "Date:           Sun, 09, Jun, 2024\n",
      "Time:                     19:01:07\n",
      "--------------------------------------------------------------------\n",
      "No. of Equations:         2.00000    BIC:                   -8.92354\n",
      "Nobs:                     497.000    HQIC:                  -9.01614\n",
      "Log likelihood:           862.952    FPE:                0.000114383\n",
      "AIC:                     -9.07596    Det(Omega_mle):     0.000110350\n",
      "--------------------------------------------------------------------\n",
      "Results for equation Consumer_confidence\n",
      "=========================================================================================\n",
      "                            coefficient       std. error           t-stat            prob\n",
      "-----------------------------------------------------------------------------------------\n",
      "const                          4.305388         1.299787            3.312           0.001\n",
      "L1.Consumer_confidence         0.908926         0.045336           20.049           0.000\n",
      "L1.GDP_growth                182.627342        59.155161            3.087           0.002\n",
      "L2.Consumer_confidence        -0.069733         0.061496           -1.134           0.257\n",
      "L2.GDP_growth                -47.589603        73.223635           -0.650           0.516\n",
      "L3.Consumer_confidence         0.052847         0.061675            0.857           0.392\n",
      "L3.GDP_growth                 50.010449        73.329638            0.682           0.495\n",
      "L4.Consumer_confidence         0.047594         0.044997            1.058           0.290\n",
      "L4.GDP_growth                 41.801889        59.497373            0.703           0.482\n",
      "=========================================================================================\n",
      "\n",
      "Results for equation GDP_growth\n",
      "=========================================================================================\n",
      "                            coefficient       std. error           t-stat            prob\n",
      "-----------------------------------------------------------------------------------------\n",
      "const                          0.001967         0.000914            2.151           0.031\n",
      "L1.Consumer_confidence        -0.000070         0.000032           -2.204           0.028\n",
      "L1.GDP_growth                  0.854911         0.041611           20.545           0.000\n",
      "L2.Consumer_confidence         0.000053         0.000043            1.218           0.223\n",
      "L2.GDP_growth                  0.007838         0.051507            0.152           0.879\n",
      "L3.Consumer_confidence         0.000029         0.000043            0.669           0.503\n",
      "L3.GDP_growth                 -0.523194         0.051582          -10.143           0.000\n",
      "L4.Consumer_confidence        -0.000021         0.000032           -0.653           0.514\n",
      "L4.GDP_growth                  0.396856         0.041852            9.482           0.000\n",
      "=========================================================================================\n",
      "\n",
      "Correlation matrix of residuals\n",
      "                       Consumer_confidence  GDP_growth\n",
      "Consumer_confidence               1.000000    0.070592\n",
      "GDP_growth                        0.070592    1.000000\n",
      "\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(var_results.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f8ab789-7f99-4a75-a353-b604e1361032",
   "metadata": {},
   "source": [
    "According to the results, the estimated VAR model is\n",
    "\\begin{align}\n",
    "Y_t&=  0.001966 + 0.86 Y_{t-1} + 0.0058 Y_{t-2}-0.52 Y_{t-3}+0.39 Y_{t-4} -0.000061 S_{t-1} +0.000043 S_{t-2} + 0.00004 S_{t-3}-0.000031 S_{t-4}\\\\\n",
    "S_t&=   4.336760 + 0.90 S_{t-1} -0.069 S_{t-2}+0.058 S_{t-3}+0.048 S_{t-4} +189.72 Y_{t-1} -39.39 Y_{t-2} + 40.49 Y_{t-3} + 44.57 Y_{t-4}\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "f07df48c-6d98-4973-92b9-4bf4f7848a45",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g_accor = var_results.plot_acorr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "8d77d0de-cf23-4fe5-8be4-c656ff307fef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[7.43906198e+01, 7.82470060e-03],\n",
       "       [7.60598061e+01, 6.56419392e-03],\n",
       "       [7.73728878e+01, 5.41534415e-03],\n",
       "       [7.82113785e+01, 6.28098690e-03],\n",
       "       [7.91031342e+01, 6.29991906e-03]])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lag_order = var_results.k_ar\n",
    "var_results.forecast(df.values[-lag_order:], 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "fc3ae590-53e2-4a09-be7f-8db2bb52e00e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "var_results.plot_forecast(36)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "0226b6f7-fdaf-4632-9c04-aaee584aea4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "var_irf = var_results.irf(36)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "432fae33-bff9-4129-beb7-691330e25149",
   "metadata": {},
   "source": [
    "As you can see the coefficients are in general difficult to interpret, so the standard practice after estimation is to map out the the **Impulse Response Functions** (IRF), the IRFs trace out the responses of each variables to shocks in disturbance term, such as $u_1$ and $u_2$. \n",
    "\n",
    "For instance, the $[0, 0]$ position graph shows how one standard deviation shock on consumer confidence can move itself, the $[0, 1]$ position graph shows the traces of GDP growth after give one standard deviation shock of consumer confidence.\n",
    "\n",
    "Note the unit on the vertical axis is the number of standard deviation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "9f19be25-7142-41db-9d8e-b74b3ee8b0d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = var_irf.plot(orth=False, figsize=(18, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "21364129-77e8-4744-bea1-a80d7ce8d1e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g1 = var_irf.plot_cum_effects(orth=False, figsize=(18, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "f532a88c-7832-46a2-bd90-eeea599bacd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FEVD for Consumer_confidence\n",
      "     Consumer_confidence  GDP_growth\n",
      "0               1.000000    0.000000\n",
      "1               0.991167    0.008833\n",
      "2               0.978325    0.021675\n",
      "3               0.958555    0.041445\n",
      "4               0.941820    0.058180\n",
      "\n",
      "FEVD for GDP_growth\n",
      "     Consumer_confidence  GDP_growth\n",
      "0               0.004983    0.995017\n",
      "1               0.003788    0.996212\n",
      "2               0.004015    0.995985\n",
      "3               0.004916    0.995084\n",
      "4               0.004937    0.995063\n",
      "\n",
      "\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "fevd = var_results.fevd(5)\n",
    "print(fevd.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "06e8a17a-7865-4df8-af05-d41b2391d6d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g3 = var_results.fevd(20).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3545cad2-dc79-429b-a728-8be12da24cbd",
   "metadata": {},
   "source": [
    "# <font face=\"gotham\" color=\"purple\"> ARCH and GARCH Models </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a4dac25-f7c0-45c5-b64d-720fb7773a8d",
   "metadata": {},
   "source": [
    "Though we have seen quite many time series, but one important feature of time series we didn't mention is that volatility tend to cluster, called **volatility clustering**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "fc18adf6-4e0f-4ce8-8cf3-3b78047ad4ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "start = dt.datetime(1950, 1, 1)\n",
    "ni225 = pdr.data.DataReader(\"NIKKEI225\", \"fred\", start=start)\n",
    "ni225 = ni225.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "eee6106e-15e1-4717-86ab-791debe817b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ni225.pct_change().plot(\n",
    "    figsize=(18, 8), title=\"Daily Percentage Change in Nikkei 225 Index\"\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ff2c3ad-f0c0-4931-bff6-5b5e39d20cc4",
   "metadata": {},
   "source": [
    "There are periods of high volatility and periods of tranquility. Because volatility comes in cluster, the variance of daily percentage change can be forecasted, even though the price itself is difficult to forecast.\n",
    "\n",
    "The volatility of asset price in the context of finance tells two things: \n",
    "1. the risk of owning the asset. \n",
    "2. the value of some financial derivatives depends on the value of underlying assets, such as options.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd18529d-5233-4bd9-9e10-166b650cb98b",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> ARCH Model </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fb013cc-fc51-4adb-a91b-0080b9eb2e74",
   "metadata": {},
   "source": [
    "The most famous model of volatility clustering is **autoregressive conditional heteroskedasticity (ARCH)**. For instance, an $\\text{ARCH(1)}$ is\n",
    "$$\n",
    "\\sigma_t^2 = \\alpha_0 + \\alpha_1u_{t-1}^2 \n",
    "$$\n",
    "where $u$ is the error term of any time series model, such as $\\text{ARMA}$, $\\sigma_t^2$ represents the variance of error term.\n",
    "\n",
    "The more general $p$-order ARCH is\n",
    "$$\n",
    "\\sigma_t^2 =  \\alpha_0 + \\sum_{i=1}^p\\alpha_iu_{t-i}^2=\\alpha_{0}+\\alpha_{1} u_{t-1}^{2}+\\alpha_{2} u_{t-2}^{2}+\\cdots+\\alpha_{p} u_{t-p}^{2}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f89552c-f8cf-4e8b-a013-9f55c4c7a420",
   "metadata": {},
   "source": [
    "## <font face=\"gotham\" color=\"purple\"> GARCH Model </font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5d089db-fc2b-4239-beeb-c2c7e4b5314a",
   "metadata": {},
   "source": [
    "The generalized ARCH (GARCH) simply extend the ARCH to include lagged $\\sigma$ itself into the model, an $\\text{GARCH(1, 1)}$ is\n",
    "$$\n",
    "\\sigma_t^2 = \\alpha_0 + \\alpha_1u_{t-1}^2 +\\phi_1\\sigma_{t-1}^2\n",
    "$$\n",
    "Similarly, $\\text{GARCH(p, q)}$\n",
    "$$\n",
    "\\sigma_t^2=\\alpha_0 + \\sum_{i=1}^p\\alpha_iu_{t-i}^2+\\sum_{i=1}^p\\phi_i\\sigma_{t-i}^2=\\alpha_{0}+\\alpha_{1} u_{t-1}^{2}+\\cdots+\\alpha_{p} u_{t-p}^{2}+\\phi_{1} \\sigma_{t-1}^{2}+\\cdots+\\phi_{q} \\sigma_{t-q}^{2}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f0835e98-886c-4df1-a753-740cb58e03be",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
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