{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5bcd81ac-eff1-4eb8-8116-611feaf661fe",
   "metadata": {},
   "source": [
    "# **COGITO Tutorial**\n",
    "This tutorial reviews how to run and post process results of the new package **C**rystal **O**rbital **G**uided **I**teration **T**o atomic-**O**rbitals (COGITO). This will be done in a couple of steps:\n",
    "1. Install dependent python packages\n",
    "2. Run COGITO main from VASP results\n",
    "3. Verify quality of COGITO run\n",
    "4. Understand chemistry of the system using COHP and charge partitioning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0436a52-6e3b-4af2-bc55-0fece7de4608",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Step 1: Install the necessary python packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9fe9ed2e-aef6-4e18-ab97-1b6e75b6f53c",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "%pip install pymatgen\n",
    "%pip install matplotlib\n",
    "%pip install numpy\n",
    "%pip install scipy\n",
    "%pip install lmfit\n",
    "%pip install plotly\n",
    "%pip install seekpath"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dce626b-9925-4437-8b73-63ffb89072fa",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Step 2: Run COGITO main from VASP outputs\n",
    "\n",
    "This will generate the COGITO output files _\"tb_input.txt\"_, _\"overlaps.txt\"_, and _\"TBparams.txt\"_ which are necessary to run any post processing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "03d352e4-ae55-4f3e-9a1b-ce1ee3f471d1",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "initializing COGITO\n",
      "check elems: ['Si'] ['2'] ['Si' 'Si'] 2\n",
      "check: ['Si']\n",
      "getting wavecar\n",
      "num plane waves: 1067\n",
      "setting up intitial orbitals\n",
      "got POT info\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:929: RuntimeWarning: invalid value encountered in divide\n",
      "  recip_theta = np.arccos(vec[2] / recip_rad)\n",
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:972: RuntimeWarning: invalid value encountered in divide\n",
      "  theta = np.arccos(vec[2] / rad)\n",
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:1045: RuntimeWarning: invalid value encountered in divide\n",
      "  theta = np.arccos(vec[2] / rad)\n",
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:3170: RuntimeWarning: invalid value encountered in divide\n",
      "  recip_theta = np.arccos(vec[2] / recip_rad)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "elapsed time for initialization: 1.2505652904510498\n",
      "\n",
      "achieved convergence at loop 7 0.9895850523012183\n",
      "elapsed time for converged orbs: 0.37079668045043945\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:2224: RuntimeWarning: invalid value encountered in divide\n",
      "  theta = np.arccos(vec[2] / rad)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fitting orbitals over 5 loops\n",
      "0 0.00010061264038085938\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:2505: RuntimeWarning: divide by zero encountered in divide\n",
      "  func = 1/good_min_rad**(3/2) #(1-(good_min_rad/(self.cutoff_rad[atom]*2))**(2))\n",
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:2662: RuntimeWarning: overflow encountered in divide\n",
      "  sig = np.append(1/weights[good_min_rad>cutoff],[0.1])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2.369067430496216\n",
      "2 2.2888028621673584\n",
      "3 0.5399599075317383\n",
      "4 0.9282500743865967\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orbital radius [1.169638481919175 1.430382115915908 1.430382115915908 1.430382115915908\n",
      " 1.169638481919175 1.430382115915908 1.430382115915908 1.430382115915908]\n",
      "elapsed time for fitting orbs: 15.458255052566528\n",
      "\n",
      "getting ae overlaps\n",
      "-----------------------------------\n",
      "-----------------"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:3269: RuntimeWarning: invalid value encountered in divide\n",
      "  recip_theta = np.arccos(vec[2] / recip_rad)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------\n",
      "\n",
      "projected orbital on wavefunctions\n",
      "-----------------------------------\n",
      "-----------------------------------\n",
      "avg spill per band: [0.002952770124337 0.010628023245267 0.012120095800034 0.015156485632368\n",
      " 0.107760873840683 0.230493054966426 0.242071377287085 0.331928539772976\n",
      " 0.748417458637771 0.821084340326667 0.880000725829457 0.916247174721459\n",
      " 0.916823763304798 0.939179901650894 0.970259201000115 0.975802891035463\n",
      " 0.978513305717534 0.983347804605031 0.986855663948852 0.991453153703   ]\n",
      "avg avg spill 0.11913890258364707\n",
      "\n",
      "elapsed time for projecting orbs: 0.8651504516601562\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial2_0/COGITOmain.py:3655: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  new_energies[in_bands,in_bands] = np.diag(enval)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "num kpts reconstructed from irred: 729\n",
      "num kpts reconstructed after time symmetry: 729\n",
      "getting ae overlaps\n",
      "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
      "\n",
      "elapsed time for optimize and symmetry: 7.888269424438477\n",
      "\n",
      "[0, 4, 1, 2, 3, 5, 6, 7, 0, 4, 1, 2, 3, 5, 6, 7]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/common/software/nersc/pe/conda-envs/24.1.0/python-3.11/nersc-python/lib/python3.11/site-packages/matplotlib/cbook.py:1699: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return math.isfinite(val)\n",
      "/global/common/software/nersc/pe/conda-envs/24.1.0/python-3.11/nersc-python/lib/python3.11/site-packages/matplotlib/lines.py:1265: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  sz = float(sz)\n",
      "/global/common/software/nersc/pe/conda-envs/24.1.0/python-3.11/nersc-python/lib/python3.11/site-packages/matplotlib/cbook.py:1345: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return np.asarray(x, float)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "showing plot\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "kpoint grid, now numtrans: [11 11 11]\n",
      "cutoff for params! 9.0 9.0 9.0\n",
      "elapsed time for calculating hams: 7.054681062698364\n",
      "finished!\n",
      "\n",
      "elapsed time for initialization: 1.2505652904510498\n",
      "elapsed time for converged orbs: 0.37079668045043945\n",
      "elapsed time for fitting orbs: 15.458255052566528\n",
      "elapsed time for projecting orbs: 0.8651504516601562\n",
      "elapsed time for optimize and symmetry: 7.888269424438477\n",
      "elapsed time for calculating hams: 7.054681062698364\n",
      "total time: 32.887717962265015\n"
     ]
    }
   ],
   "source": [
    "# import COGITO\n",
    "%matplotlib inline\n",
    "from COGITOmain import COGITO\n",
    "import numpy as np\n",
    "\n",
    "# initialize COGITO with a directory which contains the VASP output files\n",
    "# requires POSCAR, POTCAR, WAVECAR, OUTCAR, and vasprun.xml\n",
    "from os.path import exists\n",
    "\n",
    "\n",
    "direct = \"../VASP/Si2_149/static/\"\n",
    "COGITOmodel = COGITO(direct)\n",
    "# do full algorithm and generate input files for TB model\n",
    "COGITOmodel.generate_TBmodel(irreducible_grid=True,verbose=0,plot_orbs=True,plot_projBS=True,orbfactor=1.0,num_steps=50)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "56a0362c-f3b5-4bd1-83b6-4c74e37a7318",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Ti2Ag1_979115\\n', 'Al12W3_30336\\n', 'Al1Co1_284\\n', 'Al1Ni1_1487\\n', 'Mn1Al1_771\\n', 'Al1Fe1_2658\\n', 'Al5Cu5_2500\\n', 'Hf2Au2_1007755\\n', 'B1N1_685145\\n', 'Fe2O2_1274279\\n', 'Hf4Si2_9938\\n', 'Ca1I2_30031\\n', 'C2_1040425\\n', 'Cr2F4_554340\\n', 'Na2C1N2_541989\\n', 'Pb1Se1_2201\\n', 'Pb2O2_19921\\n', 'Pb4S4_21276\\n', 'Si2_149\\n', 'Te1Pb1_19717\\n', 'Tl4Se4_1836']\n",
      "initializing COGITO\n",
      "check elems: ['Al', 'Fe'] ['1', '1'] ['Al' 'Fe'] 2\n",
      "check: ['Al']\n",
      "check: ['Fe', 'pv']\n",
      "getting wavecar\n",
      "setting up intitial orbitals\n",
      "got POT info\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial/COGITOmain.py:1262: RuntimeWarning: divide by zero encountered in divide\n",
      "  ratio = atomic_WF[orb]/zerotot_orbWF[orb]\n",
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial/COGITOmain.py:1262: RuntimeWarning: invalid value encountered in divide\n",
      "  ratio = atomic_WF[orb]/zerotot_orbWF[orb]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "elapsed time for initialization: 3.8728363513946533\n",
      "\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.6252075101271755\n",
      "3 1.6252075101271757\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613906\n",
      "6 1.3522543871613906\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613906\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.5936470784184638\n",
      "2 1.6252075101271757\n",
      "3 1.6252075101271757\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613906\n",
      "6 1.3522543871613903\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613906\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.6252075101271757\n",
      "3 1.6252075101271757\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613906\n",
      "6 1.3522543871613906\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613903\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.6252075101271757\n",
      "3 1.4254012797950493\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613903\n",
      "6 1.3522543871613906\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613906\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.6252075101271757\n",
      "3 1.6252075101271757\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347714\n",
      "5 1.3522543871613903\n",
      "6 1.3522543871613903\n",
      "7 1.2749176627347707\n",
      "8 1.3522543871613906\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.4254012797950493\n",
      "3 1.4254012797950493\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347714\n",
      "5 1.3522543871613903\n",
      "6 1.3522543871613903\n",
      "7 1.2749176627347707\n",
      "8 1.3522543871613903\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.4254012797950493\n",
      "3 1.4254012797950493\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613906\n",
      "6 1.3522543871613903\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613903\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.4254012797950493\n",
      "3 1.4254012797950493\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613906\n",
      "6 1.3522543871613903\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613906\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.4606016735795666\n",
      "3 1.4606016735795668\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613906\n",
      "6 1.3522543871613903\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613903\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.6252075101271757\n",
      "2 1.4606016735795666\n",
      "3 1.4606016735795668\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613906\n",
      "6 1.3522543871613903\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613906\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.4606016735795668\n",
      "2 1.4606016735795666\n",
      "3 1.4606016735795668\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613903\n",
      "6 1.3522543871613906\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613903\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.4606016735795668\n",
      "2 1.4606016735795666\n",
      "3 1.4606016735795668\n",
      "1 0.9561882470510781\n",
      "2 0.9561882470510781\n",
      "3 0.9561882470510781\n",
      "4 1.2749176627347707\n",
      "5 1.3522543871613903\n",
      "6 1.3522543871613903\n",
      "7 1.2749176627347714\n",
      "8 1.3522543871613903\n",
      "0 2.0\n",
      "achieved convergence at loop 13 0.9871671128254356\n",
      "elapsed time for converged orbs: 1.3933160305023193\n",
      "\n",
      "fitting orbitals over 5 loops\n",
      "0 5.984306335449219e-05\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial/COGITOmain.py:2257: RuntimeWarning: overflow encountered in divide\n",
      "  sig = np.append(1/weights[good_min_rad>cutoff],[0.1])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 1.6576488018035889\n",
      "2 2.4689548015594482\n",
      "3 1.4734752178192139\n",
      "4 1.6608726978302002\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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vb4+qVatiwIABiI+PF67RaDRYvHgxvL29YW1tDQ8PDyxYsEA4f/XqVXTo0AE2NjZwcXHByJEjkZycLJwfPHgwevbsiaVLl8LNzQ0uLi74+OOPkZWVJZRZs2YNateuDYVCgapVq+L9998Xrj1x4gS+/vprcBwHjuMQHR2N48ePg+M4HDp0CP7+/rC2tsbJkyeFe+maMGEC2rVrZ9D78fLyAgD4+vqC4zjRdWFhYahfvz4UCgXq1auHNWvWiO5z4cIF+Pr6QqFQwN/fH5cvXy7aD6kMk1k6AEIIIcSSNm/ejI8++ginT5/Gixcv0LZtW4wYMQLLly9HWloapk6diuDgYPz1118AgOnTp2P9+vVYsWIF3njjDTx+/Bg3btwAAKSmpqJTp05o2bIlLl68iKdPn2L48OEYM2YMNm3aJNzz2LFjcHNzw7Fjx3Dnzh306dMHTZs2xYgRIxAeHo5x48bhhx9+QKtWrfDixQucPHkSAPD111/j1q1baNiwIebOnQsAqFy5MqKjowEAU6ZMwdKlS1GzZk1UqFDBoPdf2Pu5cOECmjdvjj///BMNGjSAXC4HAKxfvx6zZ8/Gt99+C19fX1y+fBkjRoyAnZ0dBg0ahJSUFHTt2hUdOnTA1q1bERUVhfHjxxf3R1X2MFIiVCoVA8BUKpWlQyGEEJNKS0tj169fZ2lpaZYOxWht27ZlTZs2FV7PnDmTdezYUVTm/v37DAC7efMmS0xMZNbW1mz9+vV661u3bh1zdnZmycnJwrHff/+dSSQSFhcXxxhjbNCgQUypVLLs7GyhTO/evVmfPn0YY4zt2bOHOTo6ssTExAJjHj9+vOjYsWPHGAD2888/i44PGjSI9ejRQ3Rs/PjxrG3btowx9sr3ExUVxQCwy5cvi47XqFGDbd++XXRs3rx5LDAwkDHG2HfffccqVqzIUlJShPOhoaF66yoNCvsdLs7nN3UXEkIIKV3Cw4F+/fh9CfD39xe+vnTpEo4dOwZ7e3thq1evHgDg7t27iIyMREZGBt588029dUVGRqJJkyaws7MTjrVu3RoajQY3b94UjjVo0ABSqVR47ebmhqdPnwIA3n77bSiVStSsWRMDBgzAtm3bkJqaavR7McSr3o8+z549w/379zFs2DDR92n+/Pm4e/euUG+TJk1ga2srXBcYGGhUbOUBdRcSQggpXVasAHbu5L/ets3st9NNiDQaDbp164bFixfnK+fm5oZ79+4VWhdjDBzH6T2ne9zKyirfOY1GAwBwcHDAP//8g+PHj+Pw4cOYNWsW5syZg4sXL76yC1D3vQCARCIBY0x0THfsl42NTaH16aONc/369WjRooXonDZxzHvP1xW1ZBFCCCldJk4EgoP5fQlr1qwZ/vvvP3h6esLb21u02dnZoXbt2rCxscHRo0f1Xu/j44OIiAikpKQIx06fPg2JRII6deoYHIdMJsNbb72FJUuW4N9//0V0dLQwJkwul0OtVhtUT+XKlfH48WPRMd3pGF71frRjsHTvV7VqVVSrVg337t3L9z3SDpT38fHBlStXkJaWJlx37tw5g2IuTyjJIoQQUrr4+/MtWEZ2fZnCxx9/jBcvXqBv3764cOEC7t27h8OHD2Po0KFQq9VQKBSYOnUqpkyZgi1btuDu3bs4d+4cNmzYAADo168fFAoFBg0ahGvXruHYsWMYO3YsBgwYgKpVqxoUw2+//YZVq1YhIiICMTEx2LJlCzQaDerWrQsA8PT0xPnz5xEdHY34+HihZUmfDh06IDw8HFu2bMHt27cxe/ZsXLt2TTj/qvdTpUoV2NjY4ODBg3jy5AlUKhUAYM6cOVi4cKEwEP/q1asICwvD8uXLAQAhISGQSCQYNmwYrl+/jgMHDmDp0qXG/0DKOEqyCCGEkBzu7u44ffo01Go1goKC0LBhQ4wfPx5OTk6QSPiPzJkzZ2Ly5MmYNWsW6tevjz59+gjjqWxtbXHo0CG8ePECAQEBeP/99/Hmm2/i22+/NTiGChUqYO/evejQoQPq16+PtWvX4scff0SDBg0AAJ988gmkUil8fHxQuXJlxMbGFlhXUFAQZs6ciSlTpiAgIABJSUkYOHCgqExh70cmk2HVqlX47rvv4O7ujh49egAAhg8fju+//x6bNm1Co0aN0LZtW2zatEloybK3t8evv/6K69evw9fXF5999pneLtjyjmPUcVoiEhMT4eTkBJVKBUdHR0uHQwghJpOeno6oqCh4eXlBoVBYOhxCjFbY73BxPr+pJYsQQgghxAwoySKEEEIIMQNKsgghhBBCzICSLEIIIYQQM6AkixBCCCHEDCjJIoQQQggxA0qyCCGEEELMgJIsQgghhBAzoCSLEEIIIcQMKMkihBBCSpHo6GhwHCdayLk03fv48ePgOA4vX74s1r1MVU9pRkkWIYSQ19bgwYPBcRw4joOVlRVq1qyJTz75BCkpKZYOrdRq1aoVHj9+DCcnJwDApk2bUKFCBcsGVUrJLB0AIYQQYkmdOnVCWFgYsrKycPLkSQwfPhwpKSkIDQ21dGglKjMz06Bycrkcrq6uZo6mfKCWLEIIIa81a2truLq6okaNGggJCUG/fv3w888/AwCuXLmC9u3bw8HBAY6OjvDz80N4eLhw7ZkzZ9CmTRvY2NigRo0aGDdunKgVjOM4oS6tChUqYNOmTcLrCxcuwNfXFwqFAv7+/rh8+XK+GE+cOIHmzZvD2toabm5umDZtGrKzswt9X3v27EGDBg1gbW0NT09PLFu2THTe09MT8+fPx+DBg+Hk5IQRI0YI527cuIFWrVpBoVCgQYMGOH78uHBOt5vv+PHjGDJkCFQqldAiOGfOHADA1q1b4e/vDwcHB7i6uiIkJARPnz4tNObyhlqyCCGEmJxKpcLVq1ctdv9GjRoJ3VnGsrGxQVZWFgCgX79+8PX1RWhoKKRSKSIiImBlZQUAuHr1KoKCgjBv3jxs2LABz549w5gxYzBmzBiEhYUZdK+UlBR07doVHTp0wNatWxEVFYXx48eLyjx8+BBdunTB4MGDsWXLFty4cQMjRoyAQqEQEpq8Ll26hODgYMyZMwd9+vTBmTNnMHr0aLi4uGDw4MFCua+++gozZ87E559/Lrr+008/xcqVK+Hj44Ply5eje/fuiIqKgouLi6hcq1atsHLlSsyaNQs3b94EANjb2wPgW8bmzZuHunXr4unTp5g4cSIGDx6MAwcOGPS9KRcYKREqlYoBYCqVytKhEEKISaWlpbHr16+ztLQ04djJkycZAIttJ0+eNCj2QYMGsR49egivz58/z1xcXFhwcDBjjDEHBwe2adMmvdcOGDCAjRw5UnTs5MmTTCKRCN8LAGzfvn2iMk5OTiwsLIwxxth3333HKlasyFJSUoTzoaGhDAC7fPkyY4yxGTNmsLp16zKNRiOUWb16NbO3t2dqtVpvbCEhIeztt98WHfv000+Zj4+P8FqpVLKePXuKykRFRTEAbNGiRcKxrKwsVr16dbZ48WLGGGPHjh1jAFhCQgJjjLGwsDDm5OSkNw5dFy5cYABYUlKS3nosSd/vsFZxPr+pu5AQQshr7bfffoO9vT0UCgUCAwPRpk0bfPPNNwCASZMmYfjw4XjrrbewaNEi3L17V7ju0qVL2LRpE+zt7YUtKCgIGo0GUVFRBt07MjISTZo0ga2trXAsMDAwX5nAwEBwHCcca926NZKTk/HgwYMC623durXoWOvWrXH79m2o1WrhmL+/v97rdWOQyWTw9/dHZGSkQe9J6/Lly+jRoweUSiUcHBzQrl07AEBsbKxR9ZRllGQRQgh5rbVv3x4RERG4efMm0tPTsXfvXlSpUgUAMGfOHPz3339455138Ndff8HHxwf79u0DAGg0Gnz44YeIiIgQtitXruD27duoVasWAH5MFmNMdD9tVySAfOf0YYyJEizd6/IeN+QaXXZ2dq+8v1ZB99InJSUFHTt2hL29PbZu3YqLFy8K3zdDB9iXBzQmixBCiMk1atQIJ0+etOj9DWVnZwdvb+8Cz9epUwd16tTBxIkT0bdvX4SFhaFXr15o1qwZ/vvvv0KvrVy5Mh4/fiy8vn37NlJTU4XXPj4++OGHH5CWlgYbGxsAwLlz50R1+Pj4YM+ePaLE6cyZM3BwcEC1atX03tfHxwenTp0SHTtz5gzq1KkDqVRaYLxa586dQ5s2bQAA2dnZuHTpEsaMGaO3rFwuF7WOAfzA+fj4eCxatAg1atQAANEDA68LSrIIIYSYnJOTE9544w1Lh1EsaWlp+PTTT/H+++/Dy8sLDx48wMWLF/Hee+8BAKZOnYqWLVvi448/xogRI2BnZ4fIyEgcOXJE6G7s0KEDvv32W7Rs2RIajQZTp04VBs4DQEhICD777DMMGzYMn3/+OaKjo7F06VJRHKNHj8bKlSsxduxYjBkzBjdv3sTs2bMxadIkSCT6O6QmT56MgIAAzJs3D3369MHZs2fx7bffYs2aNQa999WrV6N27dqoX78+VqxYgYSEBAwdOlRvWU9PTyQnJ+Po0aNC16eHhwfkcjm++eYbjBo1CteuXcO8efMMune5UqyRYsRgNPCdEFJeFTZouLTLO/BdV0ZGBvvggw9YjRo1mFwuZ+7u7mzMmDGi93nhwgX29ttvM3t7e2ZnZ8caN27MFixYIJx/+PAh69ixI7Ozs2O1a9dmBw4cEA18Z4yxs2fPsiZNmjC5XM6aNm3K9uzZIxr4zhhjx48fZwEBAUwulzNXV1c2depUlpWVVeh72717N/Px8WFWVlbMw8ODffXVV6LzSqWSrVixQnRMO/B9+/btrEWLFkwul7P69euzo0ePCmX0DVgfNWoUc3FxYQDY7NmzGWOMbd++nXl6ejJra2sWGBjI9u/fL3pfr8PAd44xAzqESbElJibCyckJKpUKjo6Olg6HEEJMJj09HVFRUfDy8oJCobB0OIQYrbDf4eJ8ftPAd0IIIYQQM6AkixBCCCHEDCjJIoQQQggxA0qyCCGEEELMgJIsQgghhBAzoCSLEEIIIcQMKMkihBBCCDEDSrIIIYQQQsyAkixCCCGEEDOgJIsQQgghJpGamor33nsPjo6O4DgOL1++hKenJ1auXGnp0CyCkixCCCGvtbi4OIwfPx7e3t5QKBSoWrUq3njjDaxduxapqamWDq9M2bx5M06ePIkzZ87g8ePHcHJywsWLFzFy5EihDMdx+Pnnny0XZAmSWToAQgghxFLu3buH1q1bo0KFCvjyyy/RqFEjZGdn49atW9i4cSPc3d3RvXt3S4eZz6ZNm7Bp0yYcP37c0qGI3L17F/Xr10fDhg2FY5UrV7ZgRJZFLVmEEEJeW6NHj4ZMJkN4eDiCg4NRv359NGrUCO+99x5+//13dOvWTSi7fPlyNGrUCHZ2dqhRowZGjx6N5ORk4fycOXPQtGlTUf0rV66Ep6en8Pr48eNo3rw57OzsUKFCBbRu3RoxMTEAgCtXrqB9+/ZwcHCAo6Mj/Pz8EB4eXuT3FhYWhvr160OhUKBevXpYs2aNcG7o0KFo3LgxMjIyAABZWVnw8/NDv379AADR0dHgOA47duxAq1atoFAo0KBBg0KTunbt2mHZsmX4+++/wXEc2rVrBwCi7kLt96JXr17gOE70vSmPqCWLEEKIyaWr0vH06lOL3b9KoypQOCkKLfP8+XMcPnwYX375Jezs7PSW4ThO+FoikWDVqlXw9PREVFQURo8ejSlTpoiSl8JkZ2ejZ8+eGDFiBH788UdkZmbiwoULwj369esHX19fhIaGQiqVIiIiAlZWVga+Y7H169dj9uzZ+Pbbb+Hr64vLly9jxIgRsLOzw6BBg7Bq1So0adIE06ZNw4oVKzBz5kzEx8fney+ffvopVq5cCR8fHyxfvhzdu3dHVFQUXFxc8t1z7969mDZtGq5du4a9e/dCLpfnK3Px4kVUqVIFYWFh6NSpE6RSaZHeX1lBSRYhhBCTe3r1KcL+F2ax+w85OQQeb3gUWubOnTtgjKFu3bqi45UqVUJ6ejoA4OOPP8bixYsBABMmTBDKeHl5Yd68efjoo48MTrISExOhUqnQtWtX1KpVCwBQv3594XxsbCw+/fRT1KtXDwBQu3Ztg+rVZ968eVi2bBneffddId7r16/ju+++w6BBg2Bvb4+tW7eibdu2cHBwwLJly3D06FE4OTmJ6hkzZgzee+89AEBoaCgOHjyIDRs2YMqUKfnuWbFiRdja2kIul8PV1VVvXNquwwoVKhRYpjyh7kJCSLGEhIRAJpMhJCTE0qEQUiS6rVUAcOHCBURERKBBgwZCdxoAHDt2DG+//TaqVasGBwcHDBw4EM+fP0dKSopB96lYsSIGDx6MoKAgdOvWDV9//TUeP34snJ80aRKGDx+Ot956C4sWLcLdu3eFc7GxsbC3txe2UaNG4eTJk/mOAcCzZ89w//59DBs2THR+/vz5ojoDAwPxySefYN68eZg8eTLatGmTL+bAwEDha5lMBn9/f0RGRhr0fgklWYSQYtq5cyfUajV27txp6VAIMYq3tzc4jsONGzdEx2vWrAlvb2/Y2NgIx2JiYtClSxc0bNgQe/bswaVLl7B69WoA/HgmgO9OZIyJ6tKe0woLC8PZs2fRqlUr/PTTT6hTpw7OnTsHgB/T9d9//+Gdd97BX3/9BR8fH+zbtw8A4O7ujoiICGGbO3cu/P398x0DAI1GA4DvMtQ9f+3aNeFe2nKnT5+GVCrF7du3Df6+5U1KScGou5AQUizBwcHYuXMngoODLR0KKUWqNKqCISeHWPT+r+Li4oK3334b3377LcaOHVvguCwACA8PR3Z2NpYtWwaJhG+fyPsfi8qVKyMuLg6MMSERiYiIyFeXr68vfH19MX36dAQGBmL79u1o2bIlAKBOnTqoU6cOJk6ciL59+yIsLAy9evWCTCaDt7d37vurUgU2NjaiY1pVq1ZFtWrVcO/ePWEguz5fffUVIiMjceLECQQFBSEsLAxDhoh/ZufOnRNauLKzs3Hp0iWMGTOmwDoNYWVlBbVaXaw6ygpKsgghxbJ9+3Zs377d0mGQUkbhpHjlmKjSYM2aNWjdujX8/f0xZ84cNG7cGBKJBBcvXsSNGzfg5+cHAKhVqxays7PxzTffoFu3bjh9+jTWrl0rqqtdu3Z49uwZlixZgvfffx8HDx7EH3/8AUdHRwBAVFQU1q1bh+7du8Pd3R03b97ErVu3MHDgQKSlpeHTTz/F+++/Dy8vLzx48AAXL14UxkMZa86cORg3bhwcHR3RuXNnZGRkIDw8HAkJCZg0aRIiIiIwa9Ys7N69G61bt8bXX3+N8ePHo23btqhZs6ZQz+rVq1G7dm3Ur18fK1asQEJCAoYOHVrE7zbP09MTR48eRevWrWFtbQ1nZ+di1VeqMVIiVCoVA8BUKpWlQyGEEJNKS0tj169fZ2lpaZYOpUgePXrExowZw7y8vJiVlRWzt7dnzZs3Z1999RVLSUkRyi1fvpy5ubkxGxsbFhQUxLZs2cIAsISEBKFMaGgoq1GjBrOzs2MDBw5kCxYsYEqlkjHGWFxcHOvZsydzc3NjcrmcKZVKNmvWLKZWq1lGRgb74IMPWI0aNZhcLmfu7u5szJgxBX5Pw8LCWNu2bQt9X9u2bWNNmzZlcrmcOTs7szZt2rC9e/eytLQ05uPjw0aOHCkq36tXL9aqVSuWnZ3NoqKiGAC2fft21qJFCyaXy1n9+vXZ0aNHC73n+PHj88WlVCrZihUrhNf79+9n3t7eTCaTCd8bSyvsd7g4n99lLslavXo18/T0ZNbW1qxZs2bs77//LrT88ePHWbNmzZi1tTXz8vJioaGh+crs3r2b1a9fX/gl2rt3r+j8l19+yfz9/Zm9vT2rXLky69GjB7tx44ZRcVOSRQgpr8p6kkXy0yZZly9ftnQoJcJcSVaZGvj+008/YcKECfjss89w+fJl/O9//0Pnzp0RGxurt3xUVBS6dOmC//3vf7h8+TJmzJiBcePGYc+ePUKZs2fPok+fPhgwYACuXLmCAQMGIDg4GOfPnxfKnDhxAh9//DHOnTuHI0eOIDs7Gx07djT4iRJCCCGEvH44xvI8ClGKtWjRAs2aNUNoaKhwrH79+ujZsycWLlyYr/zUqVOxf/9+0eOmo0aNwpUrV3D27FkAQJ8+fZCYmIg//vhDKNOpUyc4Ozvjxx9/1BvHs2fPUKVKFZw4cULvI6/6JCYmwsnJCSqVSuifJ4SQ8iA9PR1RUVHw8vKCQlH4BKCkbIiOjoaXlxcuX76cbxb78qiw3+HifH6XmZaszMxMXLp0CR07dhQd79ixI86cOaP3mrNnz+YrHxQUhPDwcOGx2oLKFFQnAKhUKgD8nCcFycjIQGJiomgjxBKkUik4jiv3MysTQkzH09MTjLHXIsEypzKTZMXHx0OtVqNq1aqi41WrVkVcXJzea+Li4vSWz87ORnx8fKFlCqqTMYZJkybhjTfeEC2AmdfChQvh5OQkbDVq1HjleyTEHLRz5mj3hBBCSkaZSbK08k6CxnTmIzG0fN7jxtQ5ZswY/PvvvwV2JWpNnz4dKpVK2O7fv19oeULMRTunj3ZPCCGkZJSZf3UrVaoEqVSar4Xp6dOn+VqitFxdXfWWl8lkwuKWBZXRV+fYsWOxf/9+HDt2DNWrVy80Xmtrazg6Ooo2QixBrVaDMVauJv+jpXwIIWVBmUmy5HI5/Pz8cOTIEdHxI0eOoFWrVnqvCQwMzFf+8OHD8Pf3F1Y2L6iMbp2MMYwZMwZ79+7FX3/9BS8vL1O8JUJIEdFSPoSQsqDMJFkAv3jm999/j40bNyIyMhITJ05EbGyssCjm9OnTMXDgQKH8qFGjEBMTg0mTJiEyMhIbN27Ehg0b8Mknnwhlxo8fj8OHD2Px4sW4ceMGFi9ejD///FO02vrHH3+MrVu3Yvv27XBwcEBcXBzi4uKQlpZWYu+dEJIrODgYUqmUlvIhhJRuxZi7yyJWr17NlEolk8vlrFmzZuzEiRPCuUGDBuWbafb48ePM19eXyeVy5unpqXcy0l27drG6desyKysrVq9ePbZnzx7ReQB6t7CwMIPjpslICSHlFU1GSso6c01GWqbmySrLaJ4sQkh5VV7nyWrXrh2aNm2KlStXmqzOOXPm4Oeff9a7cHRpt27dOsybNw8PHz7E8uXL8fLlyzL7XvIy1zxZtEA0IYSQ19bgwYOxefPmfMdv376NvXv3CuN3X3eJiYkYM2YMli9fjvfeew9OTk7QaDQYO3asUGbw4MFC4kV4lGQRQgh5rXXq1AlhYWGiY5UrV6YJfHXExsYiKysL77zzDtzc3ITj9vb2Foyq9CtTA98JIYQQU7O2toarq6tok0qlaNeuneghKE9PT3z55ZcYOnQoHBwc4OHhgXXr1onqmjp1KurUqQNbW1vUrFkTM2fOFFYYMdT+/ftRu3Zt2NjYoH379ti8eTM4jsPLly8BAM+fP0ffvn1RvXp12NraolGjRvnmbvT09MzXzdm0aVPMmTNHeD1nzhx4eHjA2toa7u7uGDdunN54Nm3ahEaNGgEAatasCY7jEB0djTlz5ggzws+ZMwebN2/GL7/8Ao7jwHEcjh8/btT7Lo+oJYsQQojJJamTcCftjsXu723jDQepg8nrXbZsGebNm4cZM2Zg9+7d+Oijj9CmTRvUq1cPAODg4IBNmzbB3d0dV69exYgRI+Dg4IApU6YYVH90dDTef/99jB8/HsOHD8fly5dFT8QD/PghPz8/TJ06FY6Ojvj9998xYMAA1KxZEy1atDDoPrt378aKFSuwY8cONGjQAHFxcbhy5Yresn369EGNGjXw1ltv4cKFC6hRowYqV64sKvPJJ58gMjISiYmJQqtgYUvPvS4oySKkHKtYsSISEhLg7OyMFy9elJm6Sdl3J+0Oht8abrH7f1/ne/ja+xpU9rfffhN1e3Xu3Bm7du3SW7ZLly4YPXo0AL7VasWKFTh+/LiQZH3++edCWU9PT0yePBk//fSTwUnW2rVrUbduXXz11VcAgLp16+LatWtYsGCBUKZatWqixGvs2LE4ePAgdu3aZXCSFRsbC1dXV7z11luwsrKCh4cHmjdvrresjY2NMIF35cqV4erqmq+Mvb09bGxskJGRoff864qSLELKsYSEBNG+rNRNSElq3749QkNDhdd2dnYFlm3cuLHwNcdxcHV1xdOnT4Vju3fvxsqVK3Hnzh0kJycjOzvbqCfSbt68iYCAANGxvMmPWq3GokWL8NNPP+Hhw4fIyMhARkZGoXHn1bt3b6xcuRI1a9ZEp06d0KVLF3Tr1g0yGaUFpkRjsggpx5ydnUX7slI3ISXJzs4O3t7ewqY7sDuvvE8bchwnLL5+7tw5fPDBB+jcuTN+++03XL58GZ999hkyMzMNjoXpWTs370xLy5Ytw4oVKzBlyhT89ddfiIiIQFBQkOg+Eokk33W6Y8Nq1KiBmzdvYvXq1bCxscHo0aPRpk0bo8ePkcJRykpIOWbObjzqIiSF8bbxxvd1vrfo/Uva6dOnoVQq8dlnnwnHYmJijKqjXr16OHDggOhYeHi46PXJkyfRo0cP9O/fHwCg0Whw+/Zt1K9fXyhTuXJlPH78WHidmJiIqKgoUT02Njbo3r07unfvjo8//hj16tXD1atX0axZM6Ni1pLL5eVqjVRToCSLEEKIyTlIHQweE1VeeHt7IzY2Fjt27EBAQAB+//137Nu3z6g6PvzwQyxfvhxTp07FsGHDEBERgU2bNgGA0MLl7e2NPXv24MyZM3B2dsby5csRFxcnSrI6dOiATZs2oVu3bnB2dsbMmTNFU1Js2rQJarUaLVq0gK2tLX744QfY2NhAqVQW+f17enri0KFDuHnzJlxcXODk5PTazzNG3YWEEEKICfTo0QMTJ07EmDFj0LRpU5w5cwYzZ840qg4vLy/s3r0be/fuRePGjREaGiq0jFlbWwMAZs6ciWbNmiEoKAjt2rWDq6srevbsKapn+vTpaNOmDbp27YouXbqgZ8+eqFWrlnC+QoUKWL9+PVq3bo3GjRvj6NGj+PXXX4UB7kUxYsQI1K1bF/7+/qhcuTJOnz5d5LrKC1pWp4TQsjqkPAkJCcHOnTsRHByM7du3WzocYmHldVmd0mLBggVYu3Yt7t+/b+lQyi1zLatDLVmEEKPt3LkTarUaO3futHQohJQ7a9aswcWLF3Hv3j388MMP+OqrrzBo0CBLh0WKgJIsQojRgoODIZVKERwcbOlQCCl3bt++jR49esDHxwfz5s3D5MmTRTO1k7KDugtLCHUXEkLKK+ouJGUddRcSQgghhJQhlGQRQkwnPBzo14/fE0LIa47mySKEmM6KFYB2MPy2bZaNhZQ4Gn1Cyipz/e5SkkUIMZ2JE8V78lrQTjiZmpoKGxsbC0dDiPFSU1MB5F82qbgMSrJWrVplcIXjxo0rcjCEkDLu+nXg9GkgKAjw97d0NKSESKVSVKhQQVgo2dbWNt/6e4SURowxpKam4unTp6hQoYJoVnxTMOjpQi8vL8Mq4zjcu3ev2EGVR/R0IXkteHoCMTGAUglER1s6GlKCGGOIi4vDy5cvLR0KIUarUKECXF1d9f7noDif3wa1ZOVdVJIQQvQaMgRYsoTfk9cKx3Fwc3NDlSpVkJWVZelwCDGYlZWVyVuwtGhMFiHEdG7dAjIz+T15LUmlUrN9YBFS1hQpyXrw4AH279+P2NhYZGZmis4tX77cJIERQsogGvhOCCECo5Oso0ePonv37vDy8sLNmzfRsGFDREdHgzGGZs2amSNGQkhZ4e9PUzcQQkgOoycjnT59OiZPnoxr165BoVBgz549uH//Ptq2bYvevXubI0ZCCCGEkDLH6CQrMjJSWA1cJpMhLS0N9vb2mDt3LhYvXmzyAAkhhBBCyiKjkyw7OztkZGQAANzd3XH37l3hXHx8vOkiI4QQQggpw4xOslq2bInTp08DAN555x1MnjwZCxYswNChQ9GyZUuTB0gIMZEtW/h5rLZssXQkhBDyWjBoMlJd9+7dQ3JyMho3bozU1FR88sknOHXqFLy9vbFixQoolUpzxVqm0WSkxOLc3YHHjwE3N+DRI0tHQwghZYLZJyPVVbNmTeFrW1tbrFmzxtgqCCGWoFTySRb9R4gQQkqE0d2FNWvWxPPnz/Mdf/nypSgBI4SUMt98A4SE8HtCCCFmZ3RLVnR0NNRqdb7jGRkZePjwoUmCIoSYAc1hRQghJcrgJGv//v3C14cOHYKTk5PwWq1W4+jRo/D09DRpcIQQQgghZZXBSVbPnj0B8IuAaufJ0rKysoKnpyeWLVtm0uAIISYUHg6sWMEveePvb/LqQ0JCsHPnTgQHB2P79u0mr58QQsoao58u9PLywsWLF1GpUiVzxVQu0dOFxOL69QN27gSCg83SbSiVSqHRaCCRSPQOKSCEkLKoRJ8ujIqKMvYSQkhpYObFmxUKBVJTU6FQKMxSPyGElDUGJVmrVq3CyJEjoVAosGrVqkLLjhs3ziSBEUJMzMwD35ctW4ZFixZh2rRpZrsHIYSUJQZ1F3p5eSE8PBwuLi7w8vIquDKOw71790waYHnxOncXqtVqXLhwAcePH4dGo4GPjw8aNGiAWrVqQSqVWjo8QgghpEBm7y7U7SKk7kJiiPj4eBw6dAgHDhzAwYMH8eLFi3xlrK2tUa9ePbRu3RpTp06Fh4eHBSJ9jYwcCWzcCAwdCqxbZ+loCCGk3DN64Lsu7aUcx5ksoPLqdWnJ0mg0mD9/PubPn4+srCyDr1MoFPj0008xdepU2NnZmTHC15hMBqjVgFQKZGdbOhqD0BOLhBBLK87nt9EzvgPAhg0b0LBhQygUCigUCjRs2BDff/99Uaoi5Uh8fDy6dOmC2bNnG5VgAUB6ejrmzZuHOnXq4IcffoBGozFTlK+xoUP5BGvoUEtHYrCdO3dCrVZj586dlg6FEEKMZnSSNXPmTIwfPx7dunXDrl27sGvXLnTr1g0TJ07E559/bo4YSRlw7tw5+Pr64tChQ6LjDg4O6NWrF9avX4/79+8jKSkJFy5cQFhYGD799FP4+fmJyj969AgDBw5Eq1ataHyfqa1bx7dglaGuwuDgYEilUgQHB1s6FEIIMZrR3YWVKlXCN998g759+4qO//jjjxg7dizi4+NNGmB5UV67Cxlj+PbbbzF58mRR65WdnR1Wr16Nvn37Qi6XF3r9jz/+iKlTp+LBgweic1WrVsUff/wBX19fs8VPCCGEFKZEuwvVajX89cwW7efnh+wyMs6DmM6nn36KcePGiRKs+vXr48KFCxg0aFChCRbAj+cLCQnBzZs3MWfOHNjY2Ajnnjx5grZt2+Kvv/4yW/yEEEKIuRidZPXv3x+hoaH5jq9btw79+vUzSVCkbAgLC8u3lNIHH3yACxcuwMfHx6i6bG1tMXv2bNy8eVOUxCclJaFz587Y+fHHgKcnsGWLKUJ/PW3ZYp7vYXg4P5t8eLhp6yWEkDLOoO7CSZMmCV9nZ2dj06ZN8PDwQMuWLQHw43Hu37+PgQMH4ptvvjFftGVYeesuPH/+PNq0aYPMzEwAfIvUqlWr8PHHHxf7adPk5GS89957OHz4sHCMA/A1gLFKJRAdXaz6X1uenkBMDGDq76GZl+shhBBLMvs8WZcvXxa91g5Wvnv3LgCgcuXKqFy5Mv777z+jbk7KpsePH+Pdd98VEiwAmD9/PsaMGWOS+u3t7fHrr79i6NCh2Jbzoc0AjAOQ1aoVJhV6NSnQ3LnArFn83pTMvFwPIYSUVQYlWceOHTN3HKSMyMjIwLvvvotHjx4Jx3r37o3p06fz3VDaD/GBA4t1H7lcji1btsDV1VXUJTn5xx/h8e67eP/994tV/2tp4MBi/1wIIYQYzqgxWdnZ2ZDJZLh27Zq54iGlGGMMH3/8Mc6dOycca9y4McLCwvguwlmz+O6oWbNMcj+JRIKlS5di0aJFouP9+/fHmTNnTHIPYgIrVvDdhStWWDoSQggpVYxKsmQyGZRKJdRqtbniIaXYd999hw0bNgivXVxc8PPPP+fO0D53Lj/ex8TdUVOnTsXkyZOF1xkZGejevTtu375t0vsQI2kH0tepw4/Hou5CQggRMXqerLCwMOzatQtbt25FxYoVzRVXuVPWB74/ePAA9erVQ0pKCgBAKpXi8OHD6NChQ4ncX6PRoE+fPti9e7dwzNvbG2fPnkWlSpVKJAaSh7s78Pgx4OYG6HQfE0JIeWL2ge+6Vq1ahTt37sDd3R1KpTLfOnP//POPsVWSMuCTTz4REiwAWLJkSYklWAAg2boVP1y4gEfe3jhz5w4A4M6dO+jevTuOHj0qml+LlBClkk+ylEpLR0IIIaWS0UlWz549zRAGKc2OHj2Kn376SXgdEBCA8ePHl2gM0YMGQQngGwAf1K4tdBWePXsWH374ITZv3kwLlZe0b77hx2FRNyEhhOhldJI1e/Zsc8RBSqnMzEzR1Awcx2H16tWQSqX5C5vw6cK8ZgKYC2AFgAMHDiAwMFBYwumHH35A69at8eGHH5r0nuQVrl8HTp8GgoIAPatAEELI687oMVlaly5dQmRkJDiOg4+PD60v9wpldUzWkiVLMHXqVOH1hx9+iLVr1+ovbK7JLsGPAdNoNJBIJFCr1Th16hTat28vLOUkl8tx+vRpvUs+ETMx48+bEEJKixJdu/Dp06fo0KEDAgICMG7cOIwZMwZ+fn5488038ezZM2OrI6XY/fv3MVfnSUEXFxcsWLCg4Au0Txd27Gjy5VvUajUYY8KTrW+88QaWLFkinM/MzMT777+PFy9emOye5YY5lr0JD+cHvLu5meRpUqVSCY7joKTxXYSQcsToJGvs2LFITEzEf//9hxcvXiAhIQHXrl1DYmIixo0bZ44YiYVMnjxZNNh98eLFcHFxKfiCgQP5Fo3Dh006Xxag/0N4QsWKeN/WVngdExOD/v37Q6PRmOy+5YI55rH6/HPg/HmgcWOTdA3HxsaK9oQQUh4YnWQdPHgQoaGhqF+/vnDMx8cHq1evxh9//GHS4IjlHDlyBLt27RJet2jRAkOGDDHsYjPMl6XvQ5ibPRsbUlNRR5Y7tPCPP/7Al19+abL7lgtBQUC1avy+lPLw8BDtCSGkPDA6ydJoNLCyssp33MrKiloQygmNRiNaFJzjOKxZswYSidG/LmLaySv1dSOOHAnIZPzeUHPnwlGpxO45c0RTOMyaNQt//vln8WItT0JD+ZbF0FDT1Tl/PtC3L783gZiYGDDGEBMTY5L6CCGkVGBG6t69O2vTpg17+PChcOzBgwesbdu2rGfPnsZW99pQqVQMAFOpVJYO5ZV27drFwK/JzACwjz76yLgKlErGAH7/quObN/OvJRL+nETCv968WSgikUiEWDw8PPTecsuWLaKYq1atyuLi4oyLuyy4eJGxkBB+byg3N/576+ZmvrgIIaScKs7nt9FNE99++y2SkpLg6emJWrVqwdvbG15eXkhKSsI333xjuuyPWIRGo8EXX3whvLaxscEsY8dWeXqK91qPH/P72Fi+1apdO2DIEL6VRTvHlUyWbzyXbgupqKVDp2VswIABoikcnjx5goEDB5a/1tWijK9atIjvvs2zBmRRSSQScBxX/JZNQggp74qa2R0+fJitWrWKff311+zIkSNFrcZoq1evZp6ensza2po1a9aM/f3334WWP378OGvWrBmztrZmXl5eLDQ0NF+Z3bt3s/r16zO5XM7q16/P9u7dKzp/4sQJ1rVrV+bm5sYAsH379hkdd1lpydq9e7eoRWjixInGV6LbKqVDAxS4qXP2WUC+1i5tS5YkT315W8bS0tJY48aNRfEvXrzY+PhLsyK0ZNna2jIAzNbW1iQh6H5/CSGkvCvO53eZ+ldyx44dzMrKiq1fv55dv36djR8/ntnZ2bGYmBi95e/du8dsbW3Z+PHj2fXr19n69euZlZUV2717t1DmzJkzTCqVsi+//JJFRkayL7/8kslkMnbu3DmhzIEDB9hnn33G9uzZU66TLLVaLUpSFAoFe/z4sfEVSaV88iOVig4XlmTp215J29Wo07V4/fp1IakAwGQyGTt79qzx76Ec8QPYVoD5mSgp4jiOAWAcx5mkPkIIKc1emySrefPmbNSoUaJj9erVY9OmTdNbfsqUKaxevXqiYx9++CFr2bKl8Do4OJh16tRJVCYoKIh98MEHeussz0mWNonUbhMmTChSPXkTpftGJlcagGUDjI0YwSdqI0YUfDM9ZTZu3Ch6H56eniwhIaFI76U82CGVskyA7ciT9FpS3759mVQqZX379rV0KIQQUqgSHZNlKZmZmbh06RI6duwoOt6xY0ecOXNG7zVnz57NVz4oKAjh4eHIysoqtExBdRoqIyMDiYmJoq0002g0oolHFQoFpkyZYlwl2icE86hWhHgkANTr14Op1VCvX49EjkM2x2GrvX1uoS1bgPXrAbUa2LhRODx48GCEhIQIr6OjozFy5Eiwoi1uUOb1OXcOViEh6HPunKVDEezcuRNqtRo7d+60dCiEEGI2ZSbJio+Ph1qtRtWqVUXHq1atiri4OL3XxMXF6S2fnZ0trHtXUJmC6jTUwoUL4eTkJGw1atQoVn3mtn//fly5ckV4PXLkSLi5uRlVhyYnKcrrHhSI4arjeKUmOOfYEA/hjgwo8KrlnCU6ewcAUgAhKSm5Uz3oDsgfOlT4kuM4hIaGolatWsKxXbt2Yd26dUa9n3JDu8bg9euWjkQQHBwMqVSK4OBgS4dCCCFmY9AC0ZMmTcK8efNgZ2eHv//+G61atYJMT4tFSeA48UczYyzfsVeVz3vc2DoNMX36dNFcU4mJiaU20WKMiZ4otLa2Fq1XaCjtd+y+bSVsfdMHd2tb41lodyTubIGUainQKDQApJC/8IBDVANUiFLALRrwuZaKrlevwR1PRPXoa3fiAL7lav16YPPmAhekdnR0xI4dO9CqVSuh1XLChAkIDAxE48aNjX5vZdYXXwBz5vBfT5tm8oW7i2r79u3Yvn27pcMghBCzMqgl65tvvkFycjIAoH379hZZH65SpUqQSqX5WpiePn2aryVKy9XVVW95mUwmLA9TUJmC6jSUtbU1HB0dRVtptX//fkRERAivR44cCXd398Iv0jN56G3nqhj3UXsE/14Le+YkI6Lfczxs8RBJtZJyEixeZsVMPPd7jrvvP8SpTx5i3aYE9NtZDxP6dMdZ+ybIekXurx1s9d+gQWAxMfhv0CC95fz9/bF48WLhdXp6Ovr06SP8Lr8WdNZ3hIXXBQwJCYFMJhN15epD6xgSQsoLg5IsT09PrFq1CidOnABjDGfPnsXff/+tdzMXuVwOPz8/HDlyRHT8yJEjaNWqld5rAgMD85U/fPgw/P39hVnrCypTUJ3lDWMM83Vm7Ta4FUs7Fmr9ely5cgUj1o9Av99q4MxwFbIcs4yOI6lWEk5NeYAJB+Xo+3lnhPl2QxpnV2iXoo/O/mjelsecObQmVKyIrl27Codv3LiBMWPGGB1fmTVlCqBQAA0bAhaex87QcVi0jiEhpNwwZHT8vn37WNWqVRnHcUwikTCO4/Ru+eYxMjHtFA4bNmxg169fZxMmTGB2dnYsOjqaMcbYtGnT2IABA4Ty2ikcJk6cyK5fv842bNiQbwqH06dPM6lUyhYtWsQiIyPZokWL8k3hkJSUxC5fvswuX77MALDly5ezy5cvFzh1hD6l9enCv//+W/Qk3scff1z4BTlP82kAlslxbOqw1szvvB9rdqlZvq35yQDW+VBnNuSPIWzWiVls07VNbO2/a9nkE5PZ+0ffZ61Pt9Z7nXbrtbA7O+bdgWkcnYyf8sHFhZ9GwsWFxcfHs+rVq4ve56ZNm/S+vdL+1JvR8emZ5sIYBc5RVgSGxu7h4VHo7P6EEFKSSmwKh6SkJMZxHLt16xZ7+fKl3s3cVq9ezZRKJZPL5axZs2bsxIkTwrlBgwaxtm3bisofP36c+fr6Mrlczjw9PfVORrpr1y5Wt25dZmVlxerVq8f27NkjOn/s2DHRB7R2GzRokMFxl9Ykq2fPnsL7kUgk7N69e/kL6X5QcxxjAHtuY8P6LGmjNzlqv6cl29Dfn2Vs2VDovTUaDXuY/pB9FfEVa3O0pf5E7URzNm5AL/ZQWpWxnGQqE2ChhiZZEgljmzezkydPMqlUKrxXW1tbFhkZmS8m3Z9vaWR0fAUtcWSu++XRt29f4Xp/f/8i1UEIIZZUnM9vjjHjnms/ceIEWrdubbGB72VVYmIinJycoFKpSs34rDt37qBOnTrCwwDvvfcedu/enb+gpye/1I1SCU1MDCKrVcb45XWQ4J0mKlb1ui2GbHyE907GQJKt5scARUcbFEsWy8JfT/7ClptbcMPhRr7zjrcd8MEiKYb6esNq43cAAJani1Db990fwA92dkBKCn/AxQWIj8fChQsxY8YMoXyjihVx/uVL2AwbBuQ8eaj7wIORfzVKRN74AgICEB4eDn9/f1y8eDH/BVu2FPhwgCGkUik0Gg0kEgnUep4cLYg2rrxM9T1VKpWIjY2Fh4cHLSpNCDGr4nx+Gz2FQ9u2bcFxHPbs2YP58+djwYIF2Lt3r1H/AJPS4euvvxZ96Ok+DVmQX5t7Y/iWmqIES5IhwcinI/G7Zjh631NDMmQon2DpzLv1KlacFYJcg7Ct7TZ8X/N7VEsUz66VWDsJ6za8xPDqKjy+8VhvHf0B3AMQBoClpAhNMFpTp07F22+/Lby++uIFxmg0YBs2GBynSYwciWyOw1qOg52dnVGXenh4iPbaRCY8PFxYU1A0YHzgQD7RLeJThWq1Gowxo/9+60uw/P39Ra8NHQivD43bIoSUCcY2fd2+fZvVqVOH2draMl9fX9a0aVNma2vL6taty+7cuWN0U9rrorR1F7548YLZ2dkJXTktWrRgGo1Gf2Hw6wmu7taYNbsg7s5742ArdvzScXH5Yo4DYoyxbE02C7sRxgJPBebrQnxz25vsyK4joq7CeIBlFDBW68+c8T0AWLVq1Zirq6uoG6wfIIwT0j1u6vck0I5pK0o3XJ44/P399XZlazdnZ+d8VTg7Oxd4jjHxOKxXlS2INq7Cugi13bfSIsxE/6pxWzSuixBiKiW6rE7nzp1Zp06d2PPnz4Vj8fHxrFOnTqxLly5GB/C6KG1J1uLFi0Ufxjt27CiwrBpgO/9XJ1+C1WVnFxb9IDr/BcUcB6TreeZzNuHvCXrHan3ZrRPLgowxV1e+cE4yqC/RCtUZy3Xs2DHR+CzdpMrQxaiLZcQIIRajkyw9cbR3cGBbAdYfuWsU5k20dBOlghJJ3TUf9W36FOdBAXM+ZPCquAkhxFAlmmTZ2tqyf//9N9/xiIgIZmdnZ3QAr4vSlGRlZmayatWqCR9CHh4eLCsrq8Dyf/tUYwGn/EVJztBverOUlBT9F5iy1SfHoR9mslZHm+dLtj6Y1ZHFKnJaWQpJsnS3+wBbunRpviTiyZMnBQeQ9z3NmcOYrS2/L4IiJwH6vrchIYzJZOxeTiK5VU+CpXsv3QWedROwvN8PQ1qyjGmN0iZxtra2xr3nIqCWLEKIqZTo2oXW1tZISkrKdzw5ORlyudzY6ogF7Nq1Cw8fPhRejxs3rsAHGW7cv4GpX1eH2iZ3MlG/f/2wfvQO2Nra6r9BMccB5bNlCzp+vgV7Hg1ErfhaolO3esRj8IbGuHT2ksGTbVYD8Omnn+Y73qdPH2RnZ+u/KO97WrIESE0VT/ZpBO33rsDvYUH0fW8nTgSCgzELwE4AKwAw/j9QePHiBZydnQFA2LOccXiMMSQkJACAsNdiOeOwXrx4IdSjbwyVIcvjaK9LTU0FAGFviICAAHAch4CAAIOvAYCYmBgwxmhQPCHEoox+unDgwIH4559/sGHDBjRv3hwAcP78eYwYMQJ+fn7YtGmTOeIs80rL04Us54m0S5cuAQDs7e3x4MEDODk5iQtu2YKni+fhg8XuULnnzpBe87+a2Ba8DXLrEkyodZ5uVEfdxdLTS7HLeheYNPdXV54gx6TESejdqzfg6Qn2ig/X7wD0AdAAgO4w+k86d8ZX168X/DSe9mk9X1/g8GF+ss/Zs03wJkuO7hOKzs7O+RIsIDcR032K7+HDh1Cr1ZBKpQUno3rIZDLRwHlbW1ukaJ/8NCJWI/+pIoQQkyjRpwtXrVqFWrVqITAwEAqFAgqFAq1bt4a3tze+/vprY6sjJezUqVNCggUAw4YNy59gAXjx4VAM/bSKKMGqfNUe699ZX/QES89SPAaZO1d4WlHKSTH1jalYUWkFbBMUQpFM50wsrrYY88PmQ3Pv3isXnx4BoAKAYwB0/8os/eMP7IiJES8+DQgzyGP0aD7hO3mSnyKipBMsbRxbtgjLz0xwcRGOGUL7lJ+/v7/QUqX75J+VlRXkcjk4jhM9xVfURZ211/Xt2xeMMYMTrLyxEkJIWWN0S5bWnTt3EBkZCcYYfHx84O3tberYypXS0pLVq1cv/PzzzwAAiUSC27dvo2bNmqIyjDEMXdga/3bKEI7Zx9pg84wEeF7/r+g3l8n4pXikUsCIlpCCPFQ9xIcH++Nx7UTR8SZXmmDxh1tRKavg5X04QJje4RcAvXTOyQH0cHDAzsTcemOkUnhoNOCXuIYw95axKlasKGo5Mvqvn06rHpfTWncPgBdg1Lxkhd/CM183m3bKiMLmppLL5cJi3H379i3SAtDUckUIKW1KtCVLy9vbG926dUP37t0pwSojoqOjsX//fuF1z5498yVYALDx+EZRgiVPsMLysTHwTDW8BUKvoUP5BGvoUOOu02m90VXtl6PY/VkU/CLE47SuNLmCD9a0RFQFewCAvhmedD++ewDQHaGVCeC3pCTRB/7nGg2iAawH+GRm+XKDw+c4Ttj0dc1VrFhRVKYwA2JiEJWzB/i5wewAoFIlo+YlK8y0adOEtT39/f2FsU0FzU2lbVHL0klqX7U+YV7asVeGljN2jBYhhFhE8cbcE0OVhqcLp06dKnp6THdJIq1bj26x5idzn+LzO+/H9s+fk/tEW87ahWzEiJILvKDpE3KOa5RKtuS3JfmmmAj8JZBV8arC+udcq326UK3nicNsgPV2cBB9f6oArGnTpsKTdsh5ys7KyuqVTwfqntfd9D3tl7eM7tN/hdVrZWXF7uXEz2xtGbt4MbdgAU94viruwu6d94m9wuboMnZaBn11vKocIYSUhBKdwoEUjaWTrNTUVFaxYkXhA6px48b5Jh/NVGeyrj93FSUq04a0EVcklfIJTxEmkCyygqaEyHN8/5n9rOUx8RqILf5uwX658AtjjLFrOQnJtZwtb6KVArDAPB/0NQD2DGC7tUne5s3MD+L5qPLSNx1CYYlBYeX1JV+6W3+AJSFnjcaQEKHOBznv6QEg+j6ZKonRXZNQuxVnugRDJi81Jj5CCDEVSrLKAEsnWRs3bhR9QK1bty73ZM6H8Ow1Q8WTja5vx9LX51nk2RItWUaIiIxg7X5tJ55P60Iz9vVfXzONToIIPUmWBmBPAFYzb6sMwLLAz8HFnJzYdo4TzUfFWOETeRpEZ94tf+ifVLSgFjFt0qedjJRdvMhO57yf09rkMGeftyVMu9cqrCVLK29SaOzCz8W5tsDJYgkhxExKdJ6s2NhYvQNSGWO0jlgpxRjDN998I7yuUKGCeL24WbNw0jETv/pHCIeskqywMOBrWA/PM35q3Tp+0HrOgsqlTZN6TfCj/4+oFqmz9qEU2Oy0GRNWBCHLWgYMHVrgoOrKAH4H4Kxz7EcAUwBoADCVCj0Yw0XkzkcFGDf3k94xZjrzbl0MCUE/mQyfSqWiy7RjljiOw4sXL8BxHPwATMyJpROAYAAYOxZKAGcBjAOEpzN1x3ExpRJ9csZQ6Y6l0mg0YIxBo8mdFy0v3XFlffv2FWJ61Tgp7ROLuvStcagr79xcxq6lSGO4CCEWZXRWJpHonRk7Pj6e/ndZCEu2ZJ05c0bUejBp0iTR+ZfVq7C2v4i72Vb9sKrE4zSllKQUNmTtkHwzxL/3x3vsRcYLvpBMVuCs8McBJs/TejQdueO5snK2UJ3zebsRtVveVi7tOKp7On/9FlhbsySALbC25sdWhYTw+zlzGFMoGGvYUDzmivFddltz4rin25Ll5sa3XNnasgH16+drBbuX0yoXpdOiVRB9rV2GLtOjpR3LpW97VUuWoTPKF7REz6tiI4SQVynR7kKO49jTp0/zHY+Oji6R5TLKKksmWSEhIaJxPXkX8h41s4UoEem3rh/TqAtYLNpSirBUT3ZWNvv828/zDYhvf7Q9i/ykv7AMDwM/pik0T6K1DWBcnqRgTp4yap0EhwUFMcZx7ADAZoIfKzVTT2LRX/eaHAUmA7a2oqWC9uQ539ramt3LSbSEMVlz5vBjtAB2IM/9kBOTtmtSXxKly5CEKO/709ZVUGJVWFKXl6HrGxaUjBk61osQQgpSnM9vg+fJmjRpEgDg66+/xogRI0TLgajVapw/fx5SqRSnT582pLrXjqXmyYqLi4OHh4fQJfTOO+/gt99+E87/efVPTM2aKry2e2yHnxr/BLcabiUWo0F05ocyZi4oxhg2btyI9bXWI8sxt1vMKkWCuZ/HouPfTwGOAzZtAgYOBNPpzkoG8BP4iUt1LQQwNc+xRwCqBQUBhw/jD8bwP/BTK2iQO0/KbQDzwHfrrQBwKSc+ABjAcZgLYBaArbrxt20LnDgB3b+kXM7ErBg4UNRl2O/iRcDfH+jXD/jxR4AxnHF0hFtiIjwBRAPwYgwIDATOnQNatgR37pxQr62tbb5uTysrK1F3or5/LvRNvcAYy3e8oPm1AMDOzg6pqakGzQavnWvM2dkZL168AMB3K+7cuRPBwcFFmp+LEEIKUpzPb4OTrPbt2wMATpw4gcDAQNE6hXK5HJ6envjkk09Qu3ZtowJ4XVgqyZo7dy5m68xK/scff6DT06fArFnI+GIm3qn8IxJcc8fYfPbgM7zb/d0Si89g2uVsClru5hX+3Pcn5mEekpW5M9hDAwz87iXGbrgHSUV+clENxwmzxe8F8C6ANQDG5KlvGfjERpcafEK1D8AV8OO47PKU0datAbAOwDgrK2RmZiKK44REKCzn2iUA5spkQHa2OMnKswf4BCktLY2fvR3AxaAg/sT8+ZgVEJBbH2NA5cr8RKqVKkGuUomSqLzyJkuMMUgkEuG47titvOWMmVjU1GV1lwOi9QsJIcVRrM9vY5u+Bg0axBITE41uMnvdWaK7MDMzk7m5uQndNLVr12ZqtVp42uyLMa1F3WgDP2+fb1qHUsMETzVeP3WddVnbJd84rRHLG7FEj0qMMcaydLrmMnO64TQAW66n22sp9I/n0uiUyTtVhLZ7UtvVCPBPAz6QSJga/FQRSTnnkwDGrKxE3YW6W95uR33dkIwxtjXnvWzVHndw4ONwcBDGfxX0JKP2aT7txljBXZsFHdfeo0VOl56VlRXr27cv4ziOcRzH+vbtK4xb0zfkIG+XYd4xYfoUGAshhBipxMZkZWVlMalUyq5evWr0jV53lkiyfvrpJ9GHzcqVK/kTI0awGx4Vmf8Z/9yJO4+0ZNGOFUssNqOZaH6uJzefsH5z++VLtIL+bMtupdxi6yQSlpWTAIXqJDIagC3Uk4R8Cv2Tm97Ps8+baGm/npmTAGlfp+ckWmqA3dFJ8q4BjNnZiep5iNxB+EwiYSrkDqjXTUICOI5tBVhAzrQMunXoTvWQd+xWQZOu6kvG8h7XJkt9+/ZlB3LezwGd89oxVNqvtWV15wLz9/cXDZrXHW/1qrFaeSdO1YfGaxFCDFGiA99r1qzJIiIijL7R684SSdYbb7whfEDZ2dmxhIQExhhjGhcX9v7qVqIkY3mXFoy5uJRYbEYz4fxcKc9S2NSJU1nA6QDxxKXnWrDfn/wuKrsWuS1aDGBf6EkwBgIsQ08ylTfh0rdl6Xl9T0+5JICxSpVE5RLyJG7ZeZKkgrY/c675E2Avcr5+AbCnOV8/1Um4BiK3RUursLrzJl4DOY6l5dQbgdynL/O2ZBlSr25CZehTh4Wh1i5CiCFKdJ6szz//HNOnTxcGnJLS6fLlyzh16pTwun///qhQoQIAYGugG+61TBfOuV90wtgDFwF7+5IO03AmnJ/LtpItFixagBG/joDtg9wHOLKssjDzwUx8cfMLpGv478+HUimsAMhyyswEP2hd1xYAPQEUNFy7WgHHgZzFpvO81o5y0h1tlALgqc6C1CcAOOmcZwCyAZwBEJmnTj/wg+n9cl6/BX7s2Fs51yBnr32PMgBzAXiCH+S/FUBbOzthjcKC6N5H+2DMUhsbWOecdwfQF8CXEgm2b98OjUYDjUaD7du3653HysrKSliY2sPDQzSgfeqbb2Ibx2Hqm28WGM+r+Pv7i/aEEGJqRidZq1atwsmTJ+Hu7o66deuiWbNmoo2UDrqTjwLA2LFjAQAJqQlYOzZ3OLYkU4LPXnaCTFnDZAsMlwVSuRTDvxyOuQ/mosrpKqJz+1P2o++Jrribdjd3UWulEuA4cD17YkLPnvgRgJXONX+AT1qe6blX3qHZuomNvik1tUt266YzVcAPitd6Q891cvBJzNcQJ1UTwU9SmnegPgBMyql3EgDtkuBqAIkA0nJiCAGwIilJ72TDHMfB2ZmfunWVoyP6cRzCg4KEJwQrh4aCc3UFFxiIW9r6NRrsmT4dP9vZYc/06QDyT0qqVCqxatUqxMTECAtU61rAcQjJ2RfVxYsXwRjDxYsXi1wHIYQUxuCnC7W++OKLQs/rPslGcpXk04Xx8fGoXr06MjL4j80333wTf/75JwBg7L6xOKM8I5RtG94Wy0cuN2s8JlHMpwsLc+fPO/jity9wvf910X87rNRW+ET5Cd6r/J64BSdnCoQ/ZTL0ys6GzvOK8AD/VKKh/93QPsFoLN2pIfLSJm4M/JQRB5A7K/ylAq7xA3ABfFLFIH4KUgI+AbPRKa/9Z0P3Kb7NT56gTUYG/ra2Rrt0viVw7dq1mDx5MtLT0+Gr0QhxLFUo0CY9HX8rFGiXloaAgACEh4fD39/fsKSnUyfg8GGgY0fg4MFXlyeEkCIq0acLSdGU5JisL7/8UjTe5Oeff2aMMXbxzkXW7GLuGKS2e1uzhGcJZo/HJHTW3zOH+Fvx7LM+n7HAQ4H5BsVPvD6RDXRRsHsAG2plxZidHR+LnR0Ll8tZlTxjhxQA+6GQcVi6W3rOZkhZ3U2tZzyXvi0N/AB6Tc4eBWyn9FybDbDEnK8TADajY0e2jePYjI4d+W/axYuiGe51Z7zP/bEp9d4vxseHqXP2jDHjJ5vVnRWfEELMqETHZJHSLTs7G2vWrBFee3p6omvXrmCMYd7VeaLmj+GLk1GhUoWSD7IoctbfM1eXpkttF8zeOBtjVr6DKqfE3Ycn0k4gZns93GtfAZ9nZfFjwwAgOxt+69fjNMehnk75dAADIO6CK4g8ZzMWB74771VkyO1+rAl+3UIVgCwAoTrlvPRcK5VI4JBzrwoAGh89it6M4Z3Dh/GU45AREIC+4FvLPDw84Fq1KgDAtWpVYc1ApjNflkTC//L5+/vDY/Nm7Le1xbvXr0OpVAKTJ/OTzU6eLA5C3zqPfCXAtm38Xo+8ax4SQoglGN1dqFarsWLFCuzcuROxsbHIzMwUnacB8fqVVHfh7t270bt3b+H10qVLMXnyZPxw6gestF0pHPf6ywm7bnqDW186F3q2GE9PXI6pgFUhDXF13A0wK/FfD8fDKuxlwXCe/zUwZQowezawZQuuDhqEAeAnIdXVHsAP4Ad9W5puNyDAdwXKwCc/6rAwpA0aBAX4BMwKwMucMhUBvAAwAfyAeDdAGMwOAPc4DhLG8AhAcwA7wSdzemPQ+edGNKmoiwvw/Dng4oIAL6/crsNnz4o0079MJoNarYZUKkW2NikmhJAiKM7nt9EtWV988QWWL1+O4OBgqFQqTJo0Ce+++y4kEgnmzJljbHXExFatWiV8bWtri6FDhyIlMwXr09YLxyUZEsz4+g6KMWa4/Jo7F77Kl1jcoB26z+kOh7sOotOJHZ3wbsezODyrM9i8ecDIkcDAgWjEGP5Rq/ONWTwGwBf8uKiSou9/TRzy/2VPATAQwB2NBgMGDYJtTplh4AfDjwOfYCFn3wlAdYgTLAbAkzF4AvABn2DpPn3p7+9f4FN8uk8OYvlyPpFavlwYBB8eHo6j7drhvlSKo+3aia59VUtVcHAwpFIpgoOD9Z4nhJCSYHRLVq1atbBq1Sq88847cHBwQEREhHDs3LlztG5YAUqiJSsiIgK+vr7C6w8//BBr167FzF9m4kCN3I/5/21wwMo1J/in5uh/+QXKTM7EgakHsAM7cGfQHTCZ+K9KizNJmLL8ITzviSdv+O2339CvXz8kJiaKjn8M4Cu5nB9Arm0B5jh0sLfH0aQkk8Wdt8WqICoAjjllX4JPjqYAOAQgEEAU+G5CHwAXAYwGP4C+F/hB8Gk512lXuYwH0DmnzAYHB/yV5/0XRnftQh8fH6El69mzZ4iJiYFSqUS0TksWtVQRQkpKibZkxcXFoVGjRgAAe3t7qFQqAEDXrl3x+++/G1sdMSF90zbcjbuLg5Vzn76yeWaDz1Nr8wnW0KElHWKZIreXo+fqnljQcwFaDfKFw21xq9b5Vg7o/WNdVB9fHYoKCuF4165dceHCBTRu3FhUfjUAv2rVEDFkCP/95zigb19EyGTYCz45yvtcnTknF3BCbjLmAOAL8Gstvgs+cWoFPomSAHjDygqXwHcDfgh+kWrbzZsR7egIBiCD41B582aEh4Sgn0yGv7p1A8C3OM3iOCRzHGZxHLicbe3atfD09MTatWsBQFiYOjU1VTS1wrRp06BUKjFt2jRR7NRSRQgpE4wdKV+nTh127tw5xhg/o/jChQsZY4zt2LGDVa5c2eiR968Lcz9d+OzZM2ZtbS08vdWhQwfGGGP9d/UXPSn3zbZvzHL/8u4GrNleWVf2wcgPmN95v3xPIDY52IT9Hv87U2vUwjVpaWls4sSJ+Z6sswI/c3w6wNicOfnOx+U80Rencyw052k/fUvzmGtjAGNubsL7ybcMzcWL7AD45XKEJwpznhKc5ekpxJ6i86Sj9ulD7VOHypynRQtbu5AQQiypRJ8u7NWrF44ePQoAGD9+PGbOnInatWtj4MCBGEotIxbz/fffC/NiAcC4ceNw6PIhXK95XThW5bIDRr0/yhLhlXkLJVlomv0bKqy/hG4TuqHyucqi89LKUsyMmYm+//bFadVpMMagUCiwfPlyHD58GG5ubkLZLACzATQFcDI0VJjMU6tqSAg4mQxnbXNno98klWJHIfEVdXgdp7Ppqy/myRNkcRy22tvjn3/+AQBMCw/nW+Fat0aQtrx2vNWhQ8DDh2gZHS1MiPogpwwDP7HpKiBfC1VKSgoYY8IkpoQQUi4UN8M7e/YsW7ZsGfvll1+KW1W5Zs6WrIyMDFatWjWh5cDT05OlZaaxt399O7e15WIzduToEZPf+3WUmZrJjs09xj4K+oi9sf+NfK1azS41YwMjBrJ/kv4Rrnn27Bnr1auX3jmjRowYwV68eJF7A31zRrVsyRjA0jmOn7fK2lq0MLW+RapNuWXrxJv33C2FQoh397RpbJ+tLbsolzN1zjntPGAZ2tYxV1fGWAGLPF+8yE4play5RFLg4s/ahautrKwK/Bm9agFpQggxVHE+v40e+E6KxpwD3zdv3ozBgwcLr5cuXQpJAwm2VtkqHGtyqQk2jtho0vu+7lT3Vfjjsz+wX7EftwffhkahyVfGX+qPUbVGwdfeF4wxbN++Hf3755/goGrVqli4cCEGDhwI6cCBwM6dQHAwPxcUALi7A48f4xmAw+AHqXcBMAd8q1Ms+HFUVvlqNg01gCHIXdMw7zkpAM7VFXaJiUhNTcUZAC0BqKVSSNX8HPRxANxsbTE7NRUM/CD7JQC+1A5e37IFGDkSmowMHALQrYBB7aKpHwr454sGxhNCTKVEB74DwM2bNzFmzBi8+eabeOuttzBmzBjcvHmzKFWRYtJoNFiyZInw2snJCb0+6IWdtjuFY1aJVpjZfqYlwivXnGo44YMtH2DRwEXo/0V/eO7yBJct7ngLV4dj+K3haLqxKSq2q4gBAwcgPj4+X9f6kydPMHToUPj7++PY//7HJ1gTdVYbXLQIUCoxCfzg80vgJwE9BL556TryLwytT1G7FSUAloFPsPKutygscu3lhfdSU3EPgK02LrVaWPC6EgCkpqIj+ATLLmcvDF6fNQvIyAAHoAlQ4OLPVlZWor0+NDCeEFIaGJ1k7d69Gw0bNsSlS5fQpEkTNG7cGP/88w8aNmyIXbt2mSNGUogDBw7g+vXccVcfffQRlp5dikz73Eli34l+B17e+ub0Jqbg8YYHxh0chyXtl6Dfgn6o/lt1IE+jlrSpFDVX1ITfDj8cfXEUa9avwbFjx1CnTh1RuYiICHT46CP0SE7GLd3/Mfn4YFtMjCiR8vf3x0wAPwI4Cz6JOQeAa9ZMNNYq77irgs4VloBxAGy0M7frKZsCAP/+i83gE7FaOXF9BUDq5AQOgJWUT8e8wLdgpQCwnzMnd9qXuXMBV1dw9vZwB7CggCkgMjMzwRjLNxGyru3btyM7O5umlCGEWJTR3YU1a9ZE//79MTfP8iazZ8/GDz/8gHv37pk0wPLCXN2F//vf/3Dq1CkAgFwux/4T+zFDNkNIn51inPB7x99hY2dTSC2vgZEjgY0b+Wkr1plvlnvGGKKPR2Pfun34y/cvPO7wWO9/ZRTJCrRRtUG/+v3w846fsWjRonyDvmUyGYYMGYIZM2bAc9QoaA4dwiHw3YTav7b+HIeJ4GeWdwdyZ0aXy4GsLEAiATTijI+Bb42KQe6SO9qFoXXlPcbZ2ABpuYv5FPYPh3Y2+T8qVkQn7SoQtWoBjx/zM+W/8w4wdiw/m/uiRfx57QLg06bx5dzcgEePCrkLIYSYX3E+v41OsmxtbfHvv//C29tbdPz27dto0qSJMN8NETNHknXmzBm0bt1aeD1s+DA8fecpHno8FI5NfTgVwd2oywQyGaBWl+gErA/OPcChHYfwq/2veNj1ITTy/GO2oAGUkUq0ftYa93fex4XzF6CGGhpokIhE3MVdqKFGZwBrwHcJvsNx0Gg0wJYtSB86FDK1Gi8VClTKyAB69AD27YN2On8GIAD8BKEtkZtUZYKfA6tK3nhycAAgkYDpJGh6W7p0kjiNThluxAg+mQ0PBz7/nD/46BFw9SoQGAg4OvJPIgJ8YpiZmZtYLVqUm3ANHMiP1dJ9XUICAgJyl/e5aM4ZywghpVmJJlldunRB7969MWTIENHxsLAw7NixA4e0/3ASEXMkWb169cLPP/8MgB8MvHTXUmzz2iacr3WlFn4a/JNooPBry4QtWUqlErGxsfDw8EBMTMwry6e9SMPfO/7Gj09/RGSHSGTb60/yrOOtUf1AddT4rQYc7/K/I8lIxqWcP2mSZAzr1QufLF6MWrVq8Qsna++vTXasrPiEJefcXQC6/x2KANAYwL85+4JwAMAYmM7vTqG/RU5O0KhUQpkL1aqh8cOHUCA3YYO1Nd8S5uoKNGnCJ1kKBfDdd0BoKHDuHNCyJXD2rLhu7fs0cv3C4jJkgD0hpPwr0SRr7dq1mDVrFoKDg9GyZUsAwLlz57Br1y588cUXcHfPXQq3e/fuRgVTnpk6ybpx4wZ8fHyEf/x7vt8T8R/GI7Ui35IoSZdgg/2GfLOOk+Ir6ocvYww3T93ETxE/4W+3v/Gy5ssCyzpdd0KN32rA/U93KJ4roIEGN3ADF3ABsVwser3bC59UqICWGzaIL7S3B5KShMTkkVyOajpjl/zAt2qtAL+eona2r2zwyZB2EDunUPAJkZ4EXdSFqP1ixAjg++/5SRqQp1VL92Klkm+RAsStUzpJ8MBTpxAUGYlD9etjy/Xr1JJFCLGoEk2yJBLDxspzHAe1Ou9zSK8vUydZw4cPxwadD9iPwj7C+cbnhdftL7fH0mFLi30fkp8pWjjU2Wr8ef5P/PToJ1z1uAqNlZ6uRADQAC7/uKDa4Wpw+8sN1gnWiEc8/sE/iEAEmiIVkwF0t7GBLC2NH/d0544oMeEGDSo43i++AJYsAfr1A37+GXj2LPecXJ67xqKOgt6xbjJ1Pm9LFsC3ZGVkAG3bAtWqiaepsLLiu3FlMpzJzkYg+MH8rebM4eObMgWYPZuvJzwcWLGCf/oyz6LThBBiaiWaZJGiMWWS9ejRI3h5eQlPV3Xo3gGqGSowK/5HafvUFvsD9sPZxbmwakgRGdtd+CoJ2Qk49OIQfnv+GyLTCpmIQQ1UCq8Et2NucD3hCvlTOSIRiUu4hCxEYzgYhlepgmpPnqBixYpISEiAs7MzatWq9eoWmX79AD1P4jGdvSTPsXQA1iigxWrOHCAsjG99OnWKb6XK+58uKyvgzBk+UdIO1LeyQoJGgwpqNV5KpXC2tgZSUwFbW0D7YIC3N3D3bm5CWQS6358X2oH5hBCiByVZZYApk6ypU6fmzo3FAUE7gvDMO7cF4sO7H2Jk75HFugexjHtp9/Db2oE4UF+FZ1XkhZat8F8FuB53hesJV6jvqnEFV3CNuwpFNRs8ePBAKGfQX/HwcCAggC9vQJxcSAiwY0fBA+OtrPikyc0NUKn4REkfV1dg8WI+CTtxgm/lyszkx2UFBgJBQflbsqRSfvyZRJI/cTMQjbcihBiqxCcjJZYTFxeH1atXC6/b9m8pSrCU15QY/u5wS4RGTKCmTU2MO2SP37v+h/XrnNC7Um9UlFXUW/Zlg5e48fENHN95HOG/hqPi1Iro3SoYHZ51gC98YQ1rWFtb4+rVqwXfMDwc6NcPe/bsQSpyp3cA+MHx2tQoFblTf2kAvovPy6vgOba0yY+tLZ8g2dryiVdecXF8t6a2he3iRWDVKiAkhN97eQGVK/N7rWHD+ERr2LCC39craNeLzLtuJCGEmBIlWWXM3LlzhfmU7CvZI31YbkuCNE2KL5p9AYmUfqzmIpVKwXEcpFLpqwsXVWAgpNY2aObWFtM8puGPRn8gtHYo3q30LlxkLnovSXNPQ3RwNM6vOo/IvyLhutIVvfv0RueqndGncR/4NfHD8uXLcf/+fX68lqcnv//gA2D7djT76itczqnrPwDbAQwD3x2InH1SpUoAgFQnJ757cdYsoGFDPuHRxXG5CdWTJ8DDh/xYLJec2OV8C106gIcAJiQl5SZiU6bw3YfbtvH7WbP4Jwtnzcqtf906YOZMvswXX/DHdN+TAV68eAHGGHUVEkLMiroLS4gpugtv3boFHx8f4YGC9svaQ9VOJZzvdrUb5gyaY4pwSQFKpJupkCkLNEyDaynXcFx1HMdfHkdMxqvHhNk+tEXFsxWRfi4dURejUCk9Fu9lZ+D9ypWhjI8HGIMGQHPkPnkYkbMkzXZ7+9ypLwD+a1tb/glG7eSiebsCN2/my2vnJQPyd+sxhrUch2EANgAY1bYt312oHWyvfe8FTb1hYwOkp/NTQKSl5fue0ZgrQoip0JisMsAUSVbv3r2xe/duAIB3a284rsqtxyXSDvvfPQyFjcIk8RL9pFIpNBoNJBKJ+Z6eNWLKgqj0KJxUncQp1SlEJEVAzb0iJjU/PQQ7z/DkwhM4XL2LbpmZ6KpQoElqaqFzqqVxHLS/XcLcV7Nm8WOmrKz4sVcA0LMncPBgbhI0YED+ge+MIZvjIOVDgkzfDRnjuwrj44FKlcRPPjZuzE9s2qgR8O+/+b5nNOaKEGIqZk+yEgtYQ0wfUy4ZU54UN8k6f/68MC+ZlcIKAbsDkO6Wzp9UA4sGvsTbkXdNGTIpY5Kyk3A26SxOvjiJ3+7+BkmlV3cbS9IlsI6wRnJ4MtKi09C+Xnt07dIV7dq1g729vajsLY5DbQAqABUkEn5Qe8OGwPz5fNeeboJWqZKQHK2dNw+LFi1CVExM7tgtxoB27XIHuwP817ouXgQ6dQKeP+e7GuPjc8+9YhoHaskihJiK2ZMsiUTyylnDGWM0N1YhivNDYoyhffv2OJHzIdRyYktk9s+dv6jFNnusWf63MBEkIRzHwaa2DZwDndF+eHvcsr4FtezVfzclyRIgAki4nAC3bDd0rN8RQW8Fwc/PD8cUCnTIzsZfMhneCg4GfvyR/53T6TZk4AfPf+HpiS8YA+bOheesWYiJicEz8ItYC7PTy2T83FjarsHwcKBNm9z1EUNCgDp18j9daAiaS4sQYiLF+fzW20qf17Fjx4oUGDGNP/74Q0iwagXWEiVYto8VmBcazn9QEaIj7XYa0m6nYevmrUhTp+Fc3Dkc+e8I/sn+B89cn+m9RmOvAd4AnN5wQipS8UvKL9h9YTdSNqXAu18LXL6eig5jJ2LntWv4H2OoCkBz967Q7SfJ2bPoaCHpn5aaikWLFsFFO6eYdtoHbYKlnQG+fXs+wdKO47KzA27d4sdo3brFH9Nt/Tp+vOA3P3Qo3534559AcrLxSRohhJgAjckqIUXNhNVqNXx9fXH16lU4VHKAz48+yKqYJZyfONMG/Q+cLvF13UjZ9vjFY/x2+jece3YOtyvdRkr1FMMuzACyrmXhxeUXUEckotXVFNRI1mAqgFAA0yQS2Gg0SAVgD/AToIaG8q1KR46Ix1VVqAAkJOS+zttabmvLJ1S6LVI6C19HA/i6YkWsfP48f5zagfG6daUY+B4JIUSH2Vuy9ElNTUVsbKww67gWrZVnWlu3buXnOeKAJnObCGsTAkBARAD692kF/PcgtzWAlH0lsFafW0U3jOg2AiMwAtkZ2bh08hKmr5wORYACiX6JSHNP03+hNWDlZ4WqflUBVEW0Brh9Jwv7rqiQEZmB+2nV0Pr4NagyM3ETwDxtt93OncCbb/Jjq4KC+MWhJ04sOECOAzp2zJ3OQQ9PAOMLGm81bRrfzRgQwI/tmjLFiO8OIYSYhtEtWc+ePcOQIUPwxx9/6D1PY7L0K0om/OzZMzRq1AhPnjyB/xB/aMbkzolVMboi9r61Fw6ODuYKmejSrvFXEt1OlSrpH+xtZtrlghq7Nsb8GfNx5v4Z3LC7gXjfeKRWL2DGdj008RokX0tG2r9JqHo1Bc3rBcHvzn00GT0aDYODYWNjwxfMOz2D9rVCwbc66WudzVlSRwXAFsBPdnbon5ycPwgak0UIMZESncKhX79+iI6OxsqVK9G+fXvs27cPT548wfz587Fs2TK88847RgXwujD2h8QYQ48ePfDrr7/Co7EHKq+vDCbjf1TSVClCHULh18TP3GETLTu7/GvomYueJCsgIODV6w+aQUZSBqKPRSPiTAQuPLuA6MrReO77HEm1kgyeyphlM2TdzULif4lIvZ6KKilV0MilERrt2IkGjKGBRIKamZm5E7z26gX88gvQowcCHjwQv29t8nTsGD/YvqBu8kaNgGvX+KcfC5vxnhBCXqFEkyw3Nzf88ssvaN68ORwdHREeHo46depg//79WLJkCU6dOmVUAK8LY39I3333HUaNGgWFgwK+P/oiwy1DODf47mCM7T3WnOGSvEqyJUtPd2Fpmfcp6XESov6KwvVT1/HPs38QWzUWL5q8wMuGL6FWGN6KzdIZMm9mIjEyESk3UqC+o0ZN25qoV6ce6u7ejXpZWainUKCpzrgq4X37+QH//MM/nbhhg/4uVWtrfsC8XM7PNq9PSf5MCSFlVokmWY6Ojvj333/h6ekJT09PbNu2Da1bt0ZUVBQaNGiA1IIWgn3NGfNDunnzJnx9fZGZlYnA5YFIbZ37PW3wmwM2zzz2yik1SPlSWpKsvBIfJCLmZAzunbyHy7GXEeUQhYRGCUholIDUakb+W5AOZN/JRvLNZCTeTETqzVSk30mHJl0DBwcH9OnTB7Vr10atqVPhBcALgHNB34ucbkXUqgXcuaO/TEm2ThJCyqwSHfhet25d3Lx5E56enmjatCm+++47eHp6Yu3atXBzczO2OpJHZmYm+vXrh/TMdLT+srUowXKIscHyxRfBzaIE63Xj7+8vdJuZklwuR1ZWFqysrPiHWIwcy+RY3RGN+jZCo76N0AM9kPYiDQ/OP8CDsw9wc+NNXMu4hvia8UhokICXDV4i2z674MoUgKyhDBUaVkAFVOCPaQA8ADLvZOLPO39i9+HdSFNaI+NBBj97fYUK8PLygpeXF5RKJTw8PPg9AA8AlW1s8i9erTVlSm5LFiGEmIHRLVnbtm1DVlYWBg8ejMuXLyMoKAjPnz+HXC7Hpk2b0KdPH3PFWqYZmgnPmDEDixYtQqsvWiHtndwnvKSpUnw17ClSYp+gS1oBT36R11ZRW7ryXdepE3D4MP9k38GDr67gFV1uGrUGO+2VqJNeEfc5N9xWVsLNhjIk1E/Gy/ovkVg30ahuRkEmIImRIPteNtKi0vDy3kuoYlTIuJ8BlpH7/uUAqtesierVq6N69eqoVq0a3N3d4e7uDjc3N2Fva2trfAyEkNeCRdcuTE1NxY0bN+Dh4YFKlSoVp6pyzZAf0t9//412bduh1WetkPZubiIlyZBgZtpMdO/QvaTCJWVMUZOsfC1ZxiZZBnS57Zk+HdJVq/DEyQlBjx/j9+Yt0TzVBlbX4nHDvQket2+G2xnX8Uz5Eqo6KqjqqpDtUEiLV2E0gCxOBkmMBOoYNdLupyH5fjJePniJxIeJ0GRr9F7m4OAAV1dXVK1aVdhXqVIFVapUQeXKlYV9pUqV4OzsnDtInxBS7tEC0WXAq35Ix44dQ88ePdHww4ZI75s72FeSKcGnqk8RHBRckuGSMsZkY7aMnaMr7zQMhsrTLcmUnkiJfY6nVRriyfTluB1zGzdSb+A+u4ME71Qk1k5ESo0Ug59o1EsNWD+xhuyRDNwjDupHamQ+ykTqo1SkxKVA9UyF5OxkZCGr0GokEgmcnZ1RqVIlVKpUCRUrVoSLi4to7+zsnG9zcnKCTFbkqQkJIRZi9jFZkyZNwrx582BnZ4dJkyYVWnb58uVGBUCAHTt24MNRH6LxhMZI7Zk7BovL5jD2+VgEv0MJFimcyf6vFBoKxMTwe0OSrJQUfuJQYweO55lklJs3F/azZsF+7keoOTAQgQgEALA5XyB5zmrEB3+Mx63exn9x/yEqIwoPk67hWc0sJNVMRqp7qmHJlxTIcM9Ahrv4aUPrnD8VNRWheKbgE7EnMkieSqB5poH6qRqZzzKR8TQDac/TkJqWitTnqXj8/DHu3ryLbBje6mZvbw8nJydUqFABTk5OcHJygqOjo7DXbg4ODsJeu9nb2wt7a2treviFkDLAoJYs7XxYFSpUQPv27QuujOPw119/mTTA8kJfJswYw/Lly7F+33o4z3BGpqvO7Pka4MOHH2Jkj5EWipiUVyEhIdi5cyeCg4Oxfft28Ul3d37+KTc34NGjV1dmqUk/R46EZkMYXvYejseDx+Bm3E3cS7yH++r7iLOOw3OHp0jySC16t2MhpKlSWD+3hvVzayieKyBLkEHyUgIkAJoEDTQJGmQnZiPrZRYyVBlIT0tHRp4/6cg9pobxY9KkUins7e1hZ2cHe3t74Ws7OzvY2trm22s3GxsbYa/dtK8VCoWw135NLW+EvGbdhWvWrMFXX32Fx48fo0GDBli5ciX+97//FVj+xIkTmDRpEv777z+4u7tjypQpGDVqlKjMnj17MHPmTNy9exe1atXCggUL0KtXr2LdN6+8PyS1Wo0JkycgomIEUrvmedRdAwyKGYRx740zuH5CDCWTyaBWqyGVSpGdnScJKWr3nymZInHbsgXpn8/Dg7HjcatpTUS9jML9jPuIQxyeK55D5ahCSsVidj8aSJIpgVWiVe6WnLNP4r+WpkiBZAApgCZFw2+pGqhT1chOzYY6VY2s9Cxka7KRVcifbGQL+7x/GIr2z7xUKhWSLoVCAWtra2Ff2CaXy/XuraysIJfLhU33tfZrKyurV24ymUz0tVQqpZY9YjYWWbvQEn766SdMmDABa9asQevWrfHdd9+hc+fOuH79Ojw8PPKVj4qKQpcuXTBixAhs3boVp0+fxujRo1G5cmW89957AICzZ8+iT58+mDdvHnr16oV9+/YhODgYp06dQosWLYp038Js3LoRZ++exVPbp0h7Jw1ZLuLxH/Zx9phkMwk93utRxO8SIYWrVq0aYmNjUa1atfwnf/0VUKv5vaVo1zoECly38JUGDoRi4EB4A/AuoEimOhOxCbG4F3cPD14+wKOUR4jLikM8F48EeQKSbJOQYVPARKZG0Mg1yKiUgYxKxatLki6BLF0GWZoM1mnWkKZLIc3I2dL5TZIpgSRTAmmGNHefJQGyAGQCyAJYJgOyAE22Biw792vta+3XotdqPvHTJOd8nbNlabKQoc4AYwwaaKCGGpoC/jAwva8L2+f9Wt9r7R+JVAKpTAq5tRxW8pzkzTo3odMme/qSOn3Jne4xbVKnuy9sk0qlBe4L2iQSid7Xuvu8X0skEkouSzmDWrLeffddgyvcu3dvsQIqTIsWLdCsWTOEhoYKx+rXr4+ePXti4cKF+cpPnToV+/fvR2RkpHBs1KhRuHLlCs6ePQsA6NOnDxITE0VrMXbq1AnOzs748ccfi3RffbSZcJMTTSC11/NkkgZoFdkK83vMh5Ojk0F1ElIUhbZktWoFnD0LBAYCZ85YJsBStO5gmjoN8VnxeJL5BI9Uj/A08SmepD5BfEY8nmc/x0vuJZKlyUi2ToZa+nqv28plc+A0HKABOA0n2nSPQQNwLOdrBoBB+Jpj4n2+r6HnOMRlhGPIPQ8GMDChXL6WPZZnr+fYK1sD9ZzW+/H6ymoKKfCqT+vC8q1CznH6TuoeYjplTJHTGViH3riKUE9xZadl48TkE+ZryXJyyv3QZ4xh3759cHJyEiZGvHTpEl6+fGlUMmaszMxMXLp0CdOmTRMd79ixI84U8GFw9uxZdOzYUXQsKCgIGzZsEB5bP3v2LCZOnJivzMqVK4t8XwDIyMhAhs5yHomJiQWWdYh1wIyqM9BxQMcCyxBiKsHBwcKYrHxWrcpNcCwlz6B4Y61p2RJdzp/HgRYtMPrcuWKFYiO1QQ1pDdRQ1AAK+beVMYZkTTJeZr1EQnYCVGoVVNkq/nVaAl6kvoAqU4Wk7CTE3rsKiSwTiRVkUDtKkCUt/GnGsoLJWJG7JQkpzdTJRf8PlEFJVlhYmPD11KlTERwcjLVr1wpzxajVaowePdroDM8Y8fHxUKvVqFq1quh41apVERcXp/eauLg4veWzs7MRHx8PNze3Asto6yzKfQFg4cKF+OKLLwo8L0mXoOK9ivBX+2NG7xmws7UrsCwhBck3z5UBtm/fnn/Au1YxE5zSoMv581Dm7EsKx3FwkDrAQeqAGqhRaNno5hyUAGIAeDKGLJaFFHUKUtQpSFYnI1WTijR1GlI0KUjTpCFFze/TNelIzU5FSmYK0rLSkJ6djjR1GtLV6cjQZCCdpSOLZSETmcjisoRNLXm9W9gIsSSjx2Rt3LgRp06dEk3GJ5VKMWnSJLRq1QpfffWVSQPMK2//M2Os0D5pfeXzHjekTmPvO336dNF0F4mJiahRowZanmmJd994F22bt4V1K+sCryfEEFlZWaI9AQ60aJHbkmXpYPTIG58VZ4UKsgqoIKtglvtpmIZPvlgmsjT8PptlI4vlDKZnWfzXLDvfpoYaapa7aY9pmIZ/rclGtjobajX/tVqthlqjFvbXft6Has/jcb9KZdTq+DY/dkujAWMMasbXwzQMGpYzTovxX+vuGXK+5vv5RMeA3Nfaf9tFX7Pc1rW8ZbTntbT1i87rHBPq09bJoPc+ujHqXiec070PY+B7NcX3EXVpvqK7srAuyQK7RfMVZ4We11c/A4MmOxsSxqDhOEisDEwnCu0NNVFLqIkbVLPTiv6UstFJVnZ2NiIjI1G3bl3R8cjISGg0+mdTNoVKlSpBKpXmaz16+vRpvlYmLVdXV73lZTIZXFxcCi2jrbMo9wUgPGWT15LRS8za4kdeL1ZWVkJLltmVorFShdF2EZbGBAso+fgknATWHD8XGEp6ovoGtC4kKfsSExPh9FHRxkob/QDzkCFDMHToUCxduhSnTp3CqVOnsHTpUgwfPhxDhgwpUhCGkMvl8PPzw5EjR0THjxw5glatWum9JjAwMF/5w4cPw9/fX/hQKqiMts6i3JeQkhAQEICsrCz4+/sb3FVYLNqn/lasMOtt1q5dKyw6TwghZRozklqtZosXL2bu7u6M4zjGcRxzd3dnixcvZtnZ2cZWZ5QdO3YwKysrtmHDBnb9+nU2YcIEZmdnx6KjoxljjE2bNo0NGDBAKH/v3j1ma2vLJk6cyK5fv842bNjArKys2O7du4Uyp0+fZlKplC1atIhFRkayRYsWMZlMxs6dO2fwfQ2hUqkYAKZSqUzwnSCE6T5LVTI3vHiRsZAQfp/Dw8ODAWAeHh4mu41SqWQAmFKpNFmdhBBSVMX5/C7Wv84qlarEk4bVq1czpVLJ5HI5a9asGTtx4oRwbtCgQaxt27ai8sePH2e+vr5MLpczT09PFhoamq/OXbt2sbp16zIrKytWr149tmfPHqPuawhKsoip+fv7MwDM39+/ZG6oJ8kyR6IXGhrKlEql3r+rhBBS0orz+V3mZnwvq4ozYywhpUK/fnx3YXCw8ASiUqlEbGwsPDw8EBMTY+EACSHE9Ep8xvfdu3dj586diI2NzTcW5J9//ilKlYSQ0k47d5bOHFqUWBFCSMGMHvi+atUqDBkyBFWqVMHly5fRvHlzuLi44N69e+jcubM5YiSElAbaObRK8ZOFhBBSmhidZK1Zswbr1q3Dt99+C7lcjilTpuDIkSMYN24cVCqVOWIkhBBCCClzjE6yYmNjhakLbGxskJSUBAAYMGCAsNYfIYQQQsjrzugky9XVFc+fPwfAD3o9lzOxXlRUlP6ZZwkhhBBCXkNGJ1kdOnTAr7/+CgAYNmwYJk6ciLfffht9+vRBr169TB4gIYQQQkhZZPQUDhqNBhqNBjIZ/2Dizp07cerUKXh7e2PUqFGQy+VmCbSsoykcCCGEkLKnOJ/fJp0n6+HDh6hWrZqpqitXKMkihBBCyp7ifH4b3V2oT1xcHMaOHQtvb29TVEcIIYQQUuYZnGS9fPkS/fr1Q+XKleHu7o5Vq1ZBo9Fg1qxZqFmzJs6dO4eNGzeaM1ZCCCGEkDLD4BnfZ8yYgb///huDBg3CwYMHMXHiRBw8eBDp6en4448/0LZtW3PGSQghhBBSphicZP3+++8ICwvDW2+9hdGjR8Pb2xt16tTBypUrzRgeIYQQQkjZZHB34aNHj+Dj4wMAqFmzJhQKBYYPH262wAghhBBCyjKDkyyNRgMrKyvhtVQqhZ2dnVmCIoQQQggp6wzuLmSMYfDgwbC2tgYApKenY9SoUfkSrb1795o2QkKI5YSHAytWABMn0sLQhBBiJIOTrEGDBole9+/f3+TBEEJKmRUrgJ07+a+3bbNsLIQQUsYYnGSFhYWZMw5CSGkUFAScPs3vCSGEGMUkk5ESQsqpQ4eAhw/5PSGEEKMY3JJFCHkNTZwo3hNCCDEYJVmEkIL5+9NYLEIIKSLqLiSEEEIIMQNKsgghgoCAAHAch4CAAEuHQgghZR4lWYQQQXh4uGhPCCGk6CjJIoQQQggxA0qyCCECZ2dn0V5XSEgIZDIZQkJCSjosQggpkzjGGLN0EK+DxMREODk5QaVSwdHR0dLhEGI0mUwGtVoNqVSK7OxsS4dDCCElojif39SSRQgxSHBwMKRSKYKDg01T4ZYtgKcnvyeEkHKIWrJKCLVkEZKHpycQEwMolUB0tKWjIYQQvaglixBiWuHhQL9+/N5chgwBbG35PSGElEM04zshJL8VK4CdO/mvzTXj+61bQGYmvyeEkHKIkixCSH4lsWYhrYtICCnnKMkihFgGrYtICCnnKMkihORXEt2FhBBSzlGSRQjJj7ryCCGk2CjJIoTkR115hBBSbDSFAyEkv5KYwoEQQso5askihORHY7IIIaTYKMkihORHY7IIIaTYqLuQEEIIIcQMqCWLEJIfdRcSQkixUUsWIUQsPBx4/hx4803qLiSEkGKgJIsQIrZiBXD0KODiwk/lQAghpEiou5AQIkaD3gkhxCQoySKklLGzs0NqaipsbW2RkpJS8gHQRKSEEGIS1F1ISCmTmpoq2hNCCCmbKMkihBBCCDEDSrIIIYQQQsyAkixCShlnZ2fRnhBCSNlEA98JKWVevHhh6RAIIYSYALVkEUIIIYSYASVZhBBCCCFmQEkWIYQQQogZUJJFCCGEEGIGlGQRQgghhJgBJVmEEEIIIWZASRYhhBBCiBlQkkUIIYQQYgaUZBFCCrR27Vp4enpi7dq1lg6FEELKHI4xxiwdxOsgMTERTk5OUKlUcHR0tHQ4hBjExcUFL168QMWKFfH8+XNLh0MIISWuOJ/f1JJFCCGEEGIGlGQRQgq0YMECKJVKLFiwwNKhEEJImVNmkqyEhAQMGDAATk5OcHJywoABA/Dy5ctCr2GMYc6cOXB3d4eNjQ3atWuH//77T1QmIyMDY8eORaVKlWBnZ4fu3bvjwYMHojILFixAq1atYGtriwoVKpj4nRFSeo0aNQrR0dEYNWqUpUMhhJAyp8wkWSEhIYiIiMDBgwdx8OBBREREYMCAAYVes2TJEixfvhzffvstLl68CFdXV7z99ttISkoSykyYMAH79u3Djh07cOrUKSQnJ6Nr165Qq9VCmczMTPTu3RsfffSR2d4fIYQQQsoZVgZcv36dAWDnzp0Tjp09e5YBYDdu3NB7jUajYa6urmzRokXCsfT0dObk5MTWrl3LGGPs5cuXzMrKiu3YsUMo8/DhQyaRSNjBgwfz1RkWFsacnJyK9B5UKhUDwFQqVZGuJ4QQQkjJK87nd5loyTp79iycnJzQokUL4VjLli3h5OSEM2fO6L0mKioKcXFx6Nixo3DM2toabdu2Fa65dOkSsrKyRGXc3d3RsGHDAus1VEZGBhITE0UbIYQQQl4fZSLJiouLQ5UqVfIdr1KlCuLi4gq8BgCqVq0qOl61alXhXFxcHORyOZydnQssU1QLFy4Uxo85OTmhRo0axaqPEEIIIWWLRZOsOXPmgOO4Qrfw8HAAAMdx+a5njOk9rivveUOuMaTMq0yfPh0qlUrY7t+/X6z6CCGEEFK2yCx58zFjxuCDDz4otIynpyf+/fdfPHnyJN+5Z8+e5Wup0nJ1dQXAt1a5ubkJx58+fSpc4+rqiszMTCQkJIhas54+fYpWrVoZ/X50WVtbw9raulh1EEIIIaTssmhLVqVKlVCvXr1CN4VCgcDAQKhUKly4cEG49vz581CpVAUmQ15eXnB1dcWRI0eEY5mZmThx4oRwjZ+fH6ysrERlHj9+jGvXrhU7ySKEEELI682iLVmGql+/Pjp16oQRI0bgu+++AwCMHDkSXbt2Rd26dYVy9erVw8KFC9GrVy9wHIcJEybgyy+/RO3atVG7dm18+eWXsLW1RUhICADAyckJw4YNw+TJk+Hi4oKKFSvik08+QaNGjfDWW28J9cbGxuLFixeIjY2FWq1GREQEAMDb2xv29vYl940ghBBCSJlRJpIsANi2bRvGjRsnPAnYvXt3fPvtt6IyN2/ehEqlEl5PmTIFaWlpGD16NBISEtCiRQscPnwYDg4OQpkVK1ZAJpMhODgYaWlpePPNN7Fp0yZIpVKhzKxZs7B582bhta+vLwDg2LFjaNeunTneLiGEEELKOFoguoTQAtGEEEJI2UMLRBNCCCGElDKUZBFCCCGEmAElWYQQQgghZkBJFiGEEEKIGVCSRQghhBBiBpRkEUIIIYSYASVZhBBCCCFmQEkWIYQQQogZUJJFCCGEEGIGlGQRQgghhJgBJVmEEEIIIWZASRYhhBBCiBlQkkUIIYQQYgaUZBFCCCGEmAElWYQQQgghZkBJFiGEEEKIGVCSRQghhBBiBpRkEUIIIYSYASVZhBBCCCFmQEkWIYQQQogZUJJFCCGEEGIGlGQRQvJRKpXgOA5KpdLSoRBCSJlFSRYhJJ/Y2FjRnhBCiPEoySKE5OPh4SHaE0IIMZ7M0gEQQkqfmJgYS4dACCFlHrVkEUIIIYSYASVZhBBCCCFmQEkWIYQQQogZUJJFCCGEEGIGlGQRQiwiICAAHMchICDA0qEQQohZUJJFCLGI8PBw0Z4QQsobSrIIIRbh7+8v2hNCSHlD82QRQizi4sWLlg6BEELMilqyCCGEEELMgJIsQgghhBAzoCSLEEIIIcQMKMkihBBCCDEDSrIIIYQQQsyAkixCiMjatWvh6emJtWvXWjoUQggp0zjGGLN0EK+DxMREODk5QaVSwdHR0dLhEFIgT09PxMTEQKlUIjo62tLhEEKIRRXn85tasgghItOmTYNSqcS0adMsHQohhJRp1JJVQqglixBCCCl7qCWLEEIIIaSUoSSLEEIIIcQMKMkihBBCCDEDSrIIIYQQQsyAkixCCCGEEDOgJIsQQgghxAwoySKEEEIIMQNKsgghhBBCzICSLEIIIYQQM6AkixBCCCHEDCjJIoQQQggxA0qyCCGEEELMgJIsQgghhBAzkFk6gNcFYwwAv5o3IYQQQsoG7ee29nPcGJRklZDnz58DAGrUqGHhSAghhBBirOfPn8PJycmoayjJKiEVK1YEAMTGxhr9QyKmlZiYiBo1auD+/ftwdHS0dDivNfpZlB70syhd6OdReqhUKnh4eAif48agJKuESCT88DcnJyf6C1NKODo60s+ilKCfRelBP4vShX4epYf2c9yoa8wQByGEEELIa4+SLEIIIYQQM6Akq4RYW1tj9uzZsLa2tnQorz36WZQe9LMoPehnUbrQz6P0KM7PgmNFeSaREEIIIYQUilqyCCGEEELMgJIsQgghhBAzoCSLEEIIIcQMKMkihBBCCDEDSrJKwJo1a+Dl5QWFQgE/Pz+cPHnS0iG9lv7++29069YN7u7/b+/ug6Kq+jiAf6+8BAIu8eZCCO4EMsaLhku4pAyYoUQvRI5LpUGZMxqgRGCjzaQlE5ajqTFBWG2+pESTIKYhzFSgOTSAbhKSQULQtEpKWm7K5rLPH86z47baIw9eL3q/n5md2Xvu2XO/ywzwm3PO3g2AIAioqqqSOpJsFRUVISYmBh4eHvDz80NqaiqOHz8udSxZKikpQVRUlPWmlxqNBl988YXUsQiXf08EQUBubq7UUWRn1apVEATB5qFUKoc8DosskX3yySfIzc3FK6+8giNHjmD69OlITk5GT0+P1NFkx2g0YtKkSSguLpY6iuzV19cjKysLjY2NqKurw6VLl5CUlASj0Sh1NNkJDAzEmjVr0NzcjObmZsyYMQOPPfYY2trapI4ma01NTSgrK0NUVJTUUWQrPDwcBoPB+mhtbR3yGLyFg8hiY2MRHR2NkpISa9vEiRORmpqKoqIiCZPJmyAIqKysRGpqqtRRCMBvv/0GPz8/1NfXIz4+Xuo4sufl5YW1a9diwYIFUkeRpfPnzyM6OhrvvvsuCgsLMXnyZGzYsEHqWLKyatUqVFVVQa/XD2sczmSJyGQyoaWlBUlJSTbtSUlJOHTokESpiEaec+fOAcD/9QWsdOOYzWaUl5fDaDRCo9FIHUe2srKykJKSgpkzZ0odRdY6OjoQEBAAlUqF9PR0nDhxYshj8AuiRXT69GmYzWaMHTvWpn3s2LE4efKkRKmIRhaLxYK8vDxMmzYNERERUseRpdbWVmg0Gly8eBHu7u6orKzEPffcI3UsWSovL8fhw4fR1NQkdRRZi42NxdatWzFhwgScOnUKhYWFiIuLQ1tbG7y9va97HBZZN4EgCDbHFovFro1IrrKzs3H06FEcPHhQ6iiyFRYWBr1ej7Nnz+Kzzz5DRkYG6uvrWWjdZL29vVi6dClqa2vh4uIidRxZS05Otj6PjIyERqPB3XffjS1btiAvL++6x2GRJSIfHx84ODjYzVr19fXZzW4RyVFOTg6qq6vR0NCAwMBAqePIlrOzM0JCQgAAarUaTU1N2LhxI9577z2Jk8lLS0sL+vr6MGXKFGub2WxGQ0MDiouLMTAwAAcHBwkTypebmxsiIyPR0dExpNdxT5aInJ2dMWXKFNTV1dm019XVIS4uTqJURNKzWCzIzs7Grl278OWXX0KlUkkdia5gsVgwMDAgdQzZeeCBB9Da2gq9Xm99qNVqPP3009Dr9SywJDQwMID29nb4+/sP6XWcyRJZXl4e5s+fD7VaDY1Gg7KyMvT09GDRokVSR5Od8+fPo7Oz03rc1dUFvV4PLy8vBAUFSZhMfrKysrBjxw7s3r0bHh4e1tlehUIBV1dXidPJy4oVK5CcnIxx48bhzz//RHl5Ob7++mvU1NRIHU12PDw87PYlurm5wdvbm/sVb7L8/Hw88sgjCAoKQl9fHwoLC/HHH38gIyNjSOOwyBKZVqvFmTNn8Prrr8NgMCAiIgL79u1DcHCw1NFkp7m5GYmJidbj/66rZ2Rk4KOPPpIolTz995YmCQkJNu06nQ6ZmZk3P5CMnTp1CvPnz4fBYIBCoUBUVBRqamrw4IMPSh2NSDK//PILnnzySZw+fRq+vr6YOnUqGhsbh/y/m/fJIiIiIhIB92QRERERiYBFFhEREZEIWGQRERERiYBFFhEREZEIWGQRERERiYBFFhEREZEIWGQREY1wf/31F9LS0hAQEICVK1dKHYeIrhOLLCKiEW7Lli1wdnZGdXU1ysvL0d7eLnUkIroOLLKIiK4iMzMTqamp1uOEhATk5uaKek2TyYSQkBB88803Nu0KhQJ+fn4IDQ3FnXfeCYVCYXM+Pz8fS5YsETUbEQ0diywiumVlZmZCEAQIggBHR0cEBQVh8eLF+P3332/4tXbt2oXVq1ff8HGvVFZWhuDgYNx///027enp6fjqq6/g5eWFmJgYBAQE2JxftmwZdDodurq6RM1HREPDIouIbmmzZ8+GwWBAd3c33n//fezZswcvvPDCDb+Ol5cXPDw8bvi4V3rnnXfw/PPP27X39/fjxx9/REFBgd0sFwD4+fkhKSkJpaWlouYjoqFhkUVEt7Q77rgDSqUSgYGBSEpKglarRW1trfW82WzGggULoFKp4OrqirCwMGzcuNFmDLPZjLy8PHh6esLb2xvLli3DP7/W9Z/LhYIgoKqqyqaPp6en9cvGTSYTsrOz4e/vDxcXF4wfPx5FRUXXfB+HDx9GZ2cnUlJS7M5t374d0dHRWL58OY4dO4bvvvvOrs+jjz6KnTt3XnN8Irr5WGQR0W3jxIkTqKmpgZOTk7VtcHAQgYGBqKiowLFjx/Dqq69ixYoVqKiosPZZt24dPvzwQ3zwwQc4ePAg+vv7UVlZOawsmzZtQnV1NSoqKnD8+HFs374d48ePv2b/hoYGTJgwAWPGjLE7p9PpMG/ePCgUCjz88MPQ6XR2fe677z709vbi559/HlZuIrpxHKUOQEQ0HJ9//jnc3d1hNptx8eJFAMD69eut552cnPDaa69Zj1UqFQ4dOoSKigrMnTsXALBhwwYsX74cTzzxBACgtLQU+/fvH1aunp4ehIaGYtq0aRAEAcHBwf/av7u7226vFXB5hqu9vR1arRYAMG/ePCxcuBBr1661KSbvuusu6zj/61pEdHNwJouIbmmJiYnQ6/X49ttvkZOTg1mzZiEnJ8emT2lpKdRqNXx9feHu7o7Nmzejp6cHAHDu3DkYDAZoNBprf0dHR6jV6mHlyszMhF6vR1hYGJYsWWKzhHk1Fy5cgIuLi127TqfDrFmz4OPjAwB46KGHMDg4iD179tj0c3V1BXD5nlpENDKwyCKiW5qbmxtCQkIQFRWFTZs2YWBgwGbmqqKiAi+++CKee+451NbWQq/X49lnn4XJZBrWdQVBsNu39ffff1ufR0dHo6urC6tXr8aFCxcwd+5czJkz55rj+fj42H0q0mQyYceOHdi7dy8cHR3h6OiI0aNHo7+/327JsL+/HwDg6+s7rPdFRDcOlwuJ6LaycuVKJCcnY/HixQgICMCBAwcQFxdn84nDn376yfpcoVDA398fjY2NiI+PBwBcunQJLS0tiI6OvuZ1fH19YTAYrMcdHR12s0hjxoyBVquFVqvFnDlzMHv2bPT398PLy8tuvHvvvRclJSWwWCwQBAEAsHv3bphMJhw5cgQODg7Wvj/88APS09Nx8uRJKJVKAMD3338PJycnhIeHD+XHRUQiYpFFRLeVhIQEhIeH44033kBxcTFCQkKwdetW7N+/HyqVCtu2bUNTUxNUKpX1NUuXLsWaNWsQGhqKiRMnYv369Th79uy/XmfGjBkoLi7G1KlTMTg4iJdfftlmj9Tbb78Nf39/TJ48GaNGjcKnn34KpVIJT0/Pq46XmJgIo9GItrY2REREALi8VJiSkoJJkybZ9A0PD4dSqcS2bdtQUFAAADhw4ACmT59uXTYkIulxuZCIbjt5eXnYvHkzent7sWjRIqSlpUGr1SI2NhZnzpyxu4/WSy+9hGeeeQaZmZnQaDTw8PDA448//q/XWLduHcaNG4f4+Hg89dRTyM/Px+jRo63n3d3d8eabb0KtViMmJgbd3d3Yt28fRo26+p9db29vpKWl4eOPPwYA/Prrr6itrbVuxr+SIAhIS0uzWTLcuXMnFi5ceN0/IyISn2D556YCIiKSRGtrK2bOnInOzs4h3fh07969KCgowNGjR+HoyAUKopGCM1lERCNEZGQk3nrrLXR3dw/pdUajETqdjgUW0QjDmSwiIiIiEXAmi4iIiEgELLKIiIiIRMAii4iIiEgELLKIiIiIRMAii4iIiEgELLKIiIiIRMAii4iIiEgELLKIiIiIRMAii4iIiEgELLKIiIiIRPAfVAGsA16GF2MAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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KilJKKdWtWzcVEBCgkpKStDqvvvqq6tChg1JKqdWrV6vChQurmJiYTPs8cOBAi31bt25VgFq3bp3F/m7duqnWrVtb7Bs4cKAKDQ1VSqn7vp/IyEgFqLCwMIv9fn5+atmyZRb7xo0bp+rVq6eUUurrr79WxYoVU7Gxsdrx2bNnZ3itB0FW/4dz8vc7328Fzpo1i6CgIFxdXalTp44WoWdm+/bt1KlTB1dXV8qWLcucOXPS1Vm9ejXBwcG4uLgQHBzM2rVrbW73zp079OvXjzJlyuDm5kaVKlWYPXt2zt6seHTo9QDE5+AS2Z7jJURBdPAgdO5s3OaBkJAQ7etDhw6xdetWPD09tVflypUBOHPmDBEREcTHx/P8889neK2IiAhq1KhhkfeuQYMGGAwGTp48qe2rWrUq+pTfDQC+vr5cuXIFgMaNGxMQEEDZsmXp0qULS5cutTrdi/l7scb93k9Grl69ysWLF3nzzTctvk+ffPIJZ86c0a5bo0YNi6ep69WrZ1PfHgb5Glj98MMPDBo0iA8//JCwsDCeeeYZmjdvzoULFzKsHxkZSYsWLXjmmWcICwtjxIgRDBgwgNWrV2t19uzZQ4cOHejSpQtHjhyhS5cutG/fnn379tnU7uDBg/n1119ZsmQJERERDB48mP79+7NeHn0vEHKS4BOAhg1Bp2NzdjuQnAyAC1Anu9cQ4lEybRqsWGHc5gHz3w0Gg4GWLVsSHh5u8fr777959tlncXNzy/JaSqlMPwCZ73dyckp3zGAwAFCoUCEOHz7M8uXL8fX1ZdSoUdSoUYNbt27Z9F4AHBwcUEpZ7DOfy3W/95MRUz/nzZtn8T06duwYe/fuBUjX5qMqXwOrqVOn8uabb9KzZ0+qVKnC9OnT8fPzy3RkaM6cOfj7+zN9+nSqVKlCz5496dGjB5MnT9bqTJ8+ncaNGzN8+HAqV67M8OHDef7555k+fbpN7e7Zs4du3brRsGFDAgMD6d27NzVq1OBgHn2aEjmTkwSfAGzfDsDzGH9Z2PwLIyAAHaADDj71VPb6IMSjZPBgaN/euM1jtWvX5q+//iIwMJDy5ctbvDw8PKhQoQJubm5s2bIlw/ODg4MJDw+3SM+ya9cuHBwcqGhDuhRHR0deeOEFPv/8c/73v/9x7tw5bY6Xs7MzySkf2O7H29uby5cvW+wzT51wv/djmlNl3l6pUqV47LHHOHv2bLrvkWmye3BwMEeOHOHu3bvaeaag61GSb4FVQkIChw4dokmTJhb7mzRpwu7duzM8Z8+ePenqN23alIMHD2rReGZ1TNe0tt2nn36aH3/8kUuXLqGUYuvWrZw6dYqmTZtm+p7i4+OJiYmxeIn8YT4Una1baaGhqV/7+tp+/rlzqeedP2/7+aQGdGrRIggMhMWLs3UdIQqEkBBYutS4zWPvvPMON27coGPHjuzfv5+zZ8/y+++/06NHD5KTk3F1deWDDz5g6NChLF68mDNnzrB3717mz58PQOfOnXF1daVbt24cO3aMrVu30r9/f7p06UKpUqWs6sPPP//MjBkzCA8P5/z58yxevBiDwUCllAdgAgMD2bdvH+fOnePatWvaCFJGnnvuOQ4ePMjixYv5+++/GT16NMeOHdOO3+/9lCxZEjc3N3799Vf+++8/oqOjARgzZgwTJkzQJtMfPXqUBQsWMHXqVMC4TqqDgwNvvvkmx48fZ+PGjRYDH4+KfAusrl27RnJycrr/dKVKlSIqKirDc6KiojKsn5SUpD0Wm1kd0zWtbXfGjBkEBwdTpkwZnJ2dadasGbNmzeLpp5/O9D1NmDABLy8v7eXn53ef74LILdlK7Glu27bUrzP5/3hfplGunA6PjxplDM5G5SQzlhAiM6VLl2bXrl0kJyfTtGlTqlWrxsCBA/Hy8sLBwfhncuTIkbz77ruMGjWKKlWq0KFDB21+lLu7O7/99hs3btygbt26tGvXjueff56vvvrK6j4UKVKENWvW8Nxzz1GlShXmzJnD8uXLqVq1KgDvvfceer2e4OBgvL29M50yA8bBhJEjRzJ06FDq1q3L7du36dq1q0WdrN6Po6MjM2bM4Ouvv6Z06dK0bt0agJ49e/LNN9+wcOFCqlevTmhoKAsXLtRGrDw9Pfnpp584fvw4tWrV4sMPP+Szzz6z+nvw0MjJjPqcuHTpkgLU7t27LfZ/8sknqlKlShmeU6FCBTV+/HiLfTt37lSAunz5slJKKScnp3RPLSxZskS5uLjY1O6kSZNUxYoV1Y8//qiOHDmivvzyS+Xp6ak2bdqU6Xu6d++eio6O1l6mp0rkqcD8gdkTfdn6r+7joxQYt9nrQOorJ0JDjddIeaJHiAdBQX4qUAilcu+pwHzLY1WiRAn0en260akrV65kOnTq4+OTYX1HR0eKFy+eZR3TNa1p9+7du4wYMYK1a9fy4osvAvD4448THh7O5MmTeeGFFzLsn4uLCy4uLta8fZEHVBYTSq1i+reMimKOTkdfs+tapXhxuH7duM2JnTstt0IIIR5Y+XYr0NnZmTp16rBp0yaL/Zs2baJ+/foZnlOvXr109X///XdCQkK0py0yq2O6pjXtJiYmkpiYqA0Bm+j1+izva4sHSE6f6gOLuVFvZuf827cBuHf9es7SJvToYUzf0KNH9s4XQgiRd3I+mJZ933//vXJyclLz589Xx48fV4MGDVIeHh7q3LlzSimlhg0bprp06aLVP3v2rHJ3d1eDBw9Wx48fV/Pnz1dOTk5q1apVWp1du3YpvV6vJk6cqCIiItTEiROVo6Oj2rt3r9XtKmVMxla1alW1detWdfbsWbVgwQLl6uqqZs2aZfX7kwSh+cj8NpyXV/auERCgXeN0dm4penkpBepGTm5HKqXc3d0VoNzd3bN1vhC5QW4FioIut24F5ntK6JkzZ6qAgADl7OysateurbZv364d69atm5Yp1mTbtm2qVq1aytnZWQUGBqrZs2enu+bKlStVpUqVlJOTk6pcubJavXq1Te0qpdTly5dV9+7dVenSpZWrq6uqVKmSmjJlijIYDFa/Nwms8pFpXpLpNWZM9uZbmV3D5vMXLVIqIECdTsnAvi+bgRWgZoNKAKV69crWNYSwNwmsREGXW4GVTinJ6JVbYmJi8PLyIjo6msKFC+d3dx49RYpAymPCODqiM1v13er/9ma378xv5Nn0Y2N+CzAbP24eHh7ciovDEdDp9SCr14sHwL1794iMjNRWsBCioMnq/3BO/n7n+5I2QuSJNPObrJ7v5OWlnW8A9mVZORPOzigg1pZ2zcTGxuLk42MM7Ly9s9MDIYQQeUQCK/HwMo1WAeh0KC8vDMC17FxDKXTAE2Rj2YaEBADc71MtKyoqyngPMrs5tYQQQuSJfEu3IIQ9KKUIDw8nIiKCe/fuER8fr71cXV155t49agIOCQlagFPMlgZCQ7XlbQBwyMZnkUqVIGUh1ou2nw3AcSA4ZVs1m9cQQgiR+ySwEgWOwWBgz549rF69mjVr1nD+PkvGeAONnZxokphIY8AXG0atTBnYTbfwDAbj8jLnzlnf4RMntFuAZaw/y4J7mq0QQogHk9wKFAXGjRs3eO+99yhTpgxPP/0006ZNu29QBXAVWJaYSHeMgc3rwN0sz8iAeZLPbK79lxNBixahCwggaNGiPG9bCJH7zp07h06ns1gs+UFqe9u2beh0Om7dupWjtux1nQeZBFbigWcwGFiwYAGVKlViypQp6VZtt4UClgEVgY8//pi4uDjrTrxm08ws++va1ThKlma9LyGE7bp3764l7XVycqJs2bK89957OV9j9CFWv359Ll++jFfKAz0LFy6kSJEi+dupB5QEVuKB5OHhof3i0+v19OjRQ1to21y9evWYPHkyf/31F//++y/Xr1/nzp07JCYmcvr0aWZXqEBboLBeb3HeXWD06NFUrlyZ77//3vYJ6UKIAq1Zs2ZcvnyZs2fP8sknnzBr1izee++9/O5WnktImXt6P87Ozvj4+ORsmbBHhARW4oGU1UhSReBLV1f+AXY7O/Puu+8SHByMr68vxYoVw8PDA0dHR8qVK0efU6dYoxTX7t5l8+bNPJHmWhcvXqRjx44EODhYP3olhCjwXFxc8PHxwc/Pj06dOtG5c2fWrVsHwJEjR2jUqBGFChWicOHC1KlTh4MHD2rn7t69m2effRY3Nzf8/PwYMGCAxWiXTqfTrmVSpEgRFi5cqJX3799PrVq1cHV1JSQkhLCwsHR93L59O0888QQuLi74+voybNgwku6Tx2716tVUrVoVFxcXAgMDmTJlisXxwMBAPvnkE7p3746Xlxe9evXSjp04cYL69evj6upK1apV2WaaY4rlLbxt27bxxhtvEB0drX0AHjNmDABLliwhJCSEQoUK4ePjQ6dOnbhy5UqWfX7YyOR18cC5efMmgcC5NPvdgI+AIYDLvXvGvE6mJ/bGjjW+lDI+yWf2CwHAycmJ559/nj3AEmAYYH5D8SJQtGhRLly4kOki4ObMP7VZNdplejKwUqX71xWigIqOjubo0aP51n716tW1W1W2cnNzIzExEYDOnTtTq1YtZs+ejV6vJzw8XFuP9ujRozRt2pRx48Yxf/58rl69Sr9+/ejXrx8LFiywqq3Y2FheeuklnnvuOZYsWUJkZCQDBw60qHPp0iVatGhB9+7dWbx4MSdOnKBXr164urpqQUxahw4don379owZM4YOHTqwe/du3n77bYoXL0737t21epMmTWLkyJF89NFHFue///77TJ8+neDgYKZOnUqrVq2IjIykeJqF5OvXr8/06dMZNWoUJ1OeePb09ASMI2Djxo2jUqVKXLlyhcGDB9O9e3c2btxo1ffmoZCTdPAia7Kkje3Onj2rKleubLF8DKBagzqRsjRM2pdSSilHR8slbMC4rE1aKev33S5cWH344YfKJU07QUFBKiIiIuPOmdYODAjI3vI4QjxEMloOZMeOHel+dvPytWPHDqv63q1bN9W6dWutvG/fPlW8eHHVvn17pZRShQoVUgsXLszw3C5duqjevXtb7NuxY4dycHDQvheAWrt2rUUdLy8vtWDBAqWUUl9//bUqVqyYio2N1Y7Pnj1bASosLEwppdSIESNUpUqVLJZRmzlzpvL09FTJyckZ9q1Tp06qcePGFvvef/99FRwcrJUDAgJUmzZtLOpERkYqQE2cOFHbl5iYqMqUKaM+++wzpZRSW7duVYC6efOmUkqpBQsWKC8r1mHdv3+/AtTt27czvE5+yq0lbeRWoHhgHDhwgKeeeooTJ05o+4oA64F1QKWAgMxPzmh43Dz/lMmtW6AUntHRfPLJJ2wFSpodjoyMpF69emzP6Nxz54whW5pUCwFZ9UsI8UD6+eef8fT0xNXVlXr16vHss8/y5ZdfAjBkyBB69uzJCy+8wMSJEzlz5ox23qFDh1i4cCGenp7aq2nTphgMBiIjI61qOyIigho1auDunppApV69eunq1KtXz2J0vEGDBty5c4d//vkn0+s2aNDAYl+DBg34+++/SU5O1vaFhIRkeL55HxwdHQkJCSEiIsKq92QSFhZG69atCQgIoFChQjRs2BCACxcu2HSdgkwCK/FAWL9+PaGhoRb34gN1OnYDrUw7Mktz4OGR7XbrAXsA8xt0t27donHjxqxYsSLT81RoKAZgM7b/wihWrBg6nY5ixWxKVSqEsKNGjRoRHh7OyZMnuXfvHmvWrKFkSePHrDFjxvDXX3/x4osv8scffxAcHMzatWsB41PKb731FuHh4drryJEj/P3335QrVw4wThVQaaYImG4zgnXTB5RS6SaKm87LbAJ5VueY87Dhd6Ytk9VjY2Np0qQJnp6eLFmyhAMHDmjfN2snyT8MZI6VyHc//PADnTp1wmAwaPtCQkL46aef8PH1tairS8mEbvGrIi6OtL86tF8FpoWYvbyMo1UZKAvsAl4BTONUiYmJdO7cmeLFi/P888+nPyllROs5K95fuvZu3mQwMO3mzWycLcSDq3r16uzYsSNf27eWh4cH5cuXz/R4xYoVqVixIoMHD6Zjx44sWLCAtm3bUrt2bf76668sz/X29rZIC/P3339bPBwTHBzMd999x927d3FzcwNg7969FtcIDg5m9erVFsHS7t27KVSoEI899liG7QYHB7Nz506Lfbt376ZixYro0zwZnZG9e/fy7LPPApCUlMShQ4fo169fhnWdnZ0tRsHAOPn92rVrTJw4ET8/PwCLSf+PjBzdoBRZkjlW97dp0ybl5ORkMU+iVatW6s6dO8YKoaGpc6a8vCzLZq+M5l4Z0tYzv55p/lVK2QDqLqjOaeZsFC5cWB09ejR9x83aOG3jj9FGUMmgNmbjx69o0aIKUEWLFrX5XCHsKav5KQ+6tHOszMXFxal33nlHbd26VZ07d07t3LlTlStXTg0dOlQppdSRI0eUm5ubevvtt1VYWJg6deqUWr9+verXr592jddee01VqVJFHTp0SB04cEA999xzysnJSZtjdfv2bVWiRAnVsWNH9ddff6kNGzao8uXLW8yx+ueff5S7u7t65513VEREhFq3bp0qUaKEGj16dKbv69ChQ8rBwUF9/PHH6uTJk2rhwoXKzc1Na1cp4xyradOmWZxnmmPl7++v1qxZoyIiIlTv3r2Vp6enunr1qlIq/dyoXbt2KUBt3rxZXb16VcXGxqorV64oZ2dn9f7776szZ86o9evXq4oVK1q8r0dhjpUEVrlIAqusHTx4UHl6eloEMn379lVJSUmplTIJpLIdWKUtpzDVTwbVrVs3iz75+fmpS5cuWXY+Tbu2fEaJSTknJhuBlXm/hMhPD2tgFR8fr1577TXl5+ennJ2dVenSpVW/fv0s3uf+/ftV48aNlaenp/Lw8FCPP/64+vTTT7Xjly5dUk2aNFEeHh6qQoUKauPGjRaT15VSas+ePapGjRrK2dlZ1axZU61evdoiAFFKqW3btqm6desqZ2dn5ePjoz744AOVmJiY5XtbtWqVCg4OVk5OTsrf319NmjTJ4nhWgdWyZcvUk08+qZydnVWVKlXUli1btDoZBUR9+vRRxYsXV4AW8C1btkwFBgYqFxcXVa9ePfXjjz8+coGVTinJjJhbYmJi8PLyIjo6msKFC+d3dx4op0+fpkGDBhZzqrp06cLChQtxcHCAhg3TTz5PuyCyUsYUC59/jiEujoxmAljsUyp1zT8AR0cwzXsw258QH0/z5s35448/tH01a9bkzz//pFChQsYdTk6QlKTdgnTAunkTpraydR7wXOHCvHn7NvMLFeKPmBirzxPC3u7du0dkZCRBQUG4urrmd3eEsFlW/4dz8vdbJq+LPBcVFUXTpk0tgqpmzZoxf/58HMaNM05Gz+ipvMmT0+8bPRpiY3HAGETZlBM4k0R7zs7OrD52jKpm+8LDw2nfvn1qcr6PPrIIxqJsadcsJ8w+W84D/mjZks6OjvzRsqWNZwohhMgLEliJPHX79m1atGjB2bNntX1PPPEEK1euNCbg++QTyCwD+htvpNvVqVMnHB0dMZjt05m9TPfNbpkOhoZaXsDDwzjq1aaNMVBq0waAIleusBEwnzr/66+/pibxGz0aDAatnfunFDVzN3UJ6Lq2nJfS38SkJOYsW2Yc2RNCCPFAkd/MIs8opejRo4fF0g2VKlViw4YNWtbezEaRAMggn8ry5ctJTk5mDKlBlDkDxv/kRVPKo1KeKNTqxcUZg7m1a8FgMG5T+AMbSM0oDDBr1izt8eFsGzrUIvizydKlOAKvY9stRCGEEHlDAiuRZ2bMmMGqVau0sq+zM7+dPEmJdu2sv4hpuYo0y1aMA7QZUaGhMGYMuLszNs3pozK6ZlKScbQqJZEdpAZpNYEVK1ZY5HLp2bMn//77r/V9Tmv0aGjTRmtjvy2LmnbuTBLGZXlkMVQhhHjwSGAl8sSePXssVo53dnbmx4QEAsA4n8p0Sy6FwvJWngIIDtYyp2eUk+oFUv5Db9umzb0al6aOeSaXdOM9Gc3rAppfvcoHpknrwI0bN+jatatF3i2bmY162XQ7MDYWJ52OPjodhp49s9++EEKIXCGBlch1165ds5z4DUwPCMBiUYW4OIvAyhSymEahogC+/VZbSd00WtOxY8csE98pY0oRm2+bXTHfdu/O2JgYi/5u2bKFqVOnpi6qnFeLKw8eDBjfV+K8eTJqJYQQDxgJrESuMhgMvP766xZrW3Xs2JE+f/+dvrJSJGAcSTKFYKZRqNIAGaxvtWzZMpKSkvD39wfQtmkDMBNT2QCsMe7IsN+llEKnFKVSMlY5A0vBYm2vESNGELZ8uXEEzWx9Q2vpvLyM86zS3NbMUkgIpLzHR2flLSGEKDgksBK56tNPP+W3337TylWqVGHu3LmZTtr+BIgFPrWxnfMp6wheuHAh61Gc0aOJBcYC7cA4YT0zlStrOacUUAGYYbbeVWJiIp06dbJYqsIm0dGWW2ulrE0YlL1WhRBC5CIJrESu2bp1K6NHj9bK7sAqDw88S5WyXDfG7JxxQKGUrTm7pRYYPRpPpfjY/Pagj4/l1uTkyXSn90hK4uWXX9bKJ06c4N1339XK+3U6lE5n24R0W7VujU6nw6FNG3kyUAghHjASWIlcERMTQ/fu3S3+8M8Fgg8ehLg4kjM6Kc0tMdPcKH9/fwwGAwEBAdmeM5UR7XZhVJTxdp7ZoqkpFdKfA8ybN89iEdQ5c+ZoC8+aJqJbNSG9Vy/Q641bW2SQGkIIIfJLXFwcr7zyCoULF0an03Hr1i0CAwOZPn16fnctX0hgJXLFkCFDuHAhdRbQm0AnUieln8/opMTEDAMn03XMr3c/tgZgFvOxDh6Ezp0hg6fuFFBs2DAWLVpksb9Pnz4kmN0mtMrcucZUD3Pn2nYeQNu24OBg3AohbBYVFcXAgQMpX748rq6ulCpViqeffpo5c+Zk//b+I2rRokXs2LGD3bt3c/nyZby8vDhw4AC9e/fW6uh0OtatW5d/ncxDElgJu9uwYQPz58/XykHAtJSvTWNAZUl94u8sgLs7DB2ao3btNpr1xhuwbBksXw5kkMRz3jyef/553jDLBH/8+HGmTJmS/cSftlq3zjjK9oj8ohLCns6ePUutWrX4/fffGT9+PGFhYWzevJnBgwfz008/sXnz5vzuYoYWLlxIQ7N8ew+KM2fOUKVKFapVq4aPjw86nQ5vb2+Lh30eKTYv2yyslpPVsQuq69evK19fX236lA7UNlAGs5dK2QLK399fOTg4KEA5ODhkeE1/f3+tbk5BuuldFi+llFJ6vdZH0ys5Tf+VUurq1avayu6AcnV1VWdMx3P7R8vBwdhGJt8zIXLb3bt31fHjx9Xdu3fzuys2a9q0qSpTpoy6c+dOhscNBoP29ZQpU1S1atWUu7u7KlOmjOrbt6+6ffu2dnz06NGqRo0aFudPmzZNBQQEaOWtW7equnXrKnd3d+Xl5aXq16+vzp07p5RSKjw8XDVs2FB5enqqQoUKqdq1a6sDBw5k2K8FCxao0NDQLN/bt99+qypXrqxcXFxUpUqV1MyZM7Vjb7zxhqpevbq6d++eUkqphIQEVbt2bdWpUyellFKRkZEKUMuXL1f16tVTLi4uKjg4WG3dujXT9kJDQy1+h5r6FxAQoKZNm6Z9bV7H/HuTn7L6P5yTv9+OeRbBiUdC//79uWw2V2kg8GwG9XReXqiUJJ9aCoRMntAzPfFnbyplZMuaXFDpauh0lPDyYvL06drI1b1793incGE2xsSgq13bts60bQvr10Pr1tbNnTJ9r3KSpFQIO7sXfY8rR6/cv2IuKVm9JK5erlnWuX79ujZS5eHhkWEd898JDg4OzJgxg8DAQCIjI3n77bcZOnQos2bNsqpPSUlJtGnThl69erF8+XISEhLYv3+/1kbnzp2pVasWs2fPRq/XEx4eblw3NRvmzZvH6NGj+eqrr6hVqxZhYWH06tULDw8PunXrxowZM6hRowbDhg1j2rRpjBw5kmvXrqV7L++//z7Tp08nODiYqVOn0qpVKyIjIylutoC8yZo1axg2bBjHjh1jzZo1ODs7p6tz4MABSpYsyYIFC2jWrFmWuQcfBhJYCbtZvXo1y5Yt08qVsEybYBGc2JpiIBeptLcOg4Ph6FGLXbpKleDsWUhMTN0ZHU23bt1YuHAh21Oytv8aE8PKH36gfUSEMZv80KHGLPD3YVi3zphpft066+7P63TGcTFJECoeIFeOXmHBMwvyrf03dryB/9P+WdY5ffo0SikqpUnqW6JECe7duwfAO++8w2effQbAoEGDtDpBQUGMGzeOvn37Wh1YxcTEEB0dzUsvvUS5cuUAY9oZkwsXLvD+++9TuXJlACpUqGDVdTMybtw4pkyZoj25HBQUxPHjx/n666/p1q0bnp6eLFmyhNDQUAoVKsSUKVPYsmULXmkeHOrXrx+vvPIKALNnz+bXX39l/vz5DM1gukaxYsVwd3fH2dkZn7RPVqfw9vYGoEiRIpnWeZjIHCthF1euXKFPnz5aWQfMBtywnHNkGgvOYqnl/Pftt9Cpk8Uu3cmTnElMTJceQqfTMWfOHItPmAMHDuT6mDGouDiSxoyxqkldmu199expfKJQlrURIlvSjlTv37+f8PBwqlatSnx8vLZ/69atNG7cmMcee4xChQrRtWtXrl+/TmxsrFXtFCtWjO7du9O0aVNatmzJF198YTGqP2TIEHr27MkLL7zAxIkTOXPmjHbswoULeHp6aq8+ffqwY8eOdPsArl69ysWLF3nzzTctjn/yyScW16xXrx7vvfce48aN49133+XZZ9PfU6hXr572taOjIyEhIURERFj1foUEVsJOBg0axLVr17Ty8BEjaKRUuoAqGWMC0I/Nzk2bNT03KWsmuIeEwNKl6Hr1Ign4OmV32UyqV65cmQ8++EArR0VFaYs959qAd8oThbqUZW1kaRshrFO+fHl0Oh0n0qyWULZsWcqXL4+bm5u27/z587Ro0YJq1aqxevVqDh06xMyZMwFjgmAw3ipM+/sk0XxkG1iwYAF79uyhfv36/PDDD1SsWJG9e/cCMGbMGP766y9efPFF/vjjD4KDg1mbMh2gdOnShIeHa6+PP/6YkJCQdPsgdSrFvHnzLI4fO3ZMa8tUb9euXej1ev7OaAWMTMjvGOvJrUCRY7/++ivLU56gA6hevTqjRo1KVy8W+JzU5J+m4Cq35lDl2Ny5OM+bpxVNC0NnZMSIESxfvlz7ZDgHeAuoDsYM7vdZ8kZ+ZYmHQcnqJXljxxv3r5iL7d9P8eLFady4MV999RX9+/fPdJ4VwMGDB0lKSmLKlClakuIVK1ZY1PH29iYqKgqllBZ8hIeHp7tWrVq1qFWrFsOHD6devXosW7aMp556CoCKFStSsWJFBg8eTMeOHVmwYAFt27bF0dGR8uXLp76/kiVxc3Oz2GdSqlQpHnvsMc6ePUvnzp0zfU+TJk0iIiKC7du307RpUxYsWGDxhDPA3r17tZGspKQkDh06RL9+/TK9pjWcnJxITs4wg+FDRwIrkSNxcXG8/fbbWlmn0/HNN9/g4uJiUc+AMaN6QWP+SVSZfWJTwA3ANJXTzc2NWbNm0bRpU8D4ft8FfgM4efL+gVOlSsZM73m1mLMQucDVy/W+c5weBLNmzaJBgwaEhIQwZswYHn/8cRwcHDhw4AAnTpygTp06AJQrV46kpCS+/PJLWrZsya5du5gzZ47FtRo2bMjVq1f5/PPPadeuHb/++iu//PILhQsXBiAyMpK5c+fSqlUrSpcuzcmTJzl16hRdu3bl7t27vP/++7Rr146goCD++ecfDhw4oM1vstWYMWMYMGAAhQsXpnnz5sTHx3Pw4EFu3rzJkCFDCA8PZ9SoUaxatYoGDRrwxRdfMHDgQEJDQylbNnVMfubMmVSoUIEqVaowbdo0bt68SY8ePbL53TYKDAxky5YtNGjQABcXF4oWLZqj6z3QcvCkoriPRyHdwrBhwyweo+3fv79lBScnpUDdS5PWwB6pE/JcaKhSoDanTc9gpmXLlhbv80dTigYhHjIFOd2CUkr9+++/ql+/fiooKEg5OTkpT09P9cQTT6hJkyap2NhYrd7UqVOVr6+vcnNzU02bNlWLFy9WgLp586ZWZ/bs2crPz095eHiorl27qk8//VRLKRAVFaXatGmjfH19lbOzswoICFCjRo1SycnJKj4+Xr322mvKz89POTs7q9KlS6t+/fpl+j21Jt3C0qVLVc2aNZWzs7MqWrSoevbZZ9WaNWvU3bt3VXBwsOrdu7dF/bZt26r69eurpKQkLd3CsmXL1JNPPqmcnZ1VlSpV1JYtW7Jsc+DAgen6ZZ5uQSmlfvzxR1W+fHnl6Oj40Kdb0Ckli43llpiYGLy8vIiOjtY+vTxMjh49Su3atUlKMk5FLw1ENGhA4Z07tTqjdDqGYrwFOF6vp3379hZPDj7I6taty8GDBwkJCeHAgQPafvO5BtqPT+/e8O23nHr5ZaquXat9TyoCYYC7/JiJh8y9e/eIjIwkKCgIV9esUxyIguHcuXMEBQURFhZGzZo187s7uS6r/8M5+fstk9dFthgMBnr37q0FEABfAoV37bKoZ76oclJSUoEJqsA4v8J8m6V58yA5mYorV/LOO+9ou09hXCMRs6UdhBBCPLwksBLZMnfuXIsnTVoCbcG4fl0Bp9frs3wCRt3nycJRo0ZRrFgxrfwxcN1sEnxWVut0GHQ6VssTOEIIUSAV/L+CIs9dvnyZYcOGaWUP4CtSnmx7CDKBZ5YB3pTWQKfTweLFEBho3AKYZSQuVrw4Y2JitPJNYKyVbbfF+H2UpZWFEHktMDAQpdQjcRswN0lgJWz23nvvEW2WOX0ckNlzQPcb3XkQmR6rNuWnybDvvXrB+fPGLUBAgMXhPklJWiZlgFlgVYI9mxOFCiGEeKBIYCVssn37dot5UrWA/vnXnVyRnJyMUirrnCsJCalbnQ51+LBFVnYnYMqUKanXBN4LDr7vXCtdQIAxU32aQC1TBw9C585w8CAeHh7odLos8/IIIYTIXfJUYC562J4KTExMpHbt2hw7dkzbtwd4ijTLvDwK/6XSzIGyeP+mfQYDjzk4cNns2Fag4X2+Pxk+dZiZMmXg0iV47DF0ly5Zf54QOSRPBYqCTp4KFPlu5syZFkFVj7JleRLLoOKRYcWIkk6n4/ejR7VbiwAfcP+gZx/GBKP7rOmHKZi6dAl3d3cAbSuEECLvSWAlrBIVFcXo0aO1chEnJyaeP09USvlGyvaPPO9ZPjl3DswCJNNC08kYA81bKfurVatG165dtXr7gTVr1mR56bppttaKjY1FKWX14rBCCCHsTwIrYZUPPviAGLMn3T6pWxdvYD3G/0QlUrYv5E/38k+bNsbbgm3agFI4Yfw+mC/WMHbsWMwX+BkxYoRF/q+0dGav+zKNhplNuNfpdBajZEIIIfKO/PYV97Vr1y4Wm9IKADV9fOgTFgbJybxuVq+gPf1nF2vXGlNMpKxGb7IPjAFXnTr4+/tjvvLXqVOn+Pbbb+3T/qhR4O5u3JJ6m/GR+3cQwk4aNmzIoEGD7HrNMWPGFNgUBnPnzsXPzw8HBwemT59eoN9LXpHJ67noYZi8npSUREhICEeOHNH27dLrqf/007B9O7ucnXk6IQF/f3/Onz+fjz19MBQrVoybN29iwGzEyWzVexNfX19Onz6d8XwonU6bt+aAbUGSKUWETqfLNB+XEPZQkCevd+/enUWLFqXb//fff1OsWDGcnJwoVMh+y8aPGTOGdevWER4ebrdr5oWYmBhKlCjB1KlTeeWVV/Dy8sJgMBAfH0/xlNx93bt359atW6xbty5/O5sNMnld5Iuvv/7aIqjqBtR3cICUtfMaODqilHrkgypT4tCbN28aA5s0x5VSjB8/XitfvnyZL774IuOLhYYC2ZuvZjAYUEpJUCXEfTRr1ozLly9bvIKCgihWrJhdg6qC7MKFCyQmJvLiiy/i6+uLu7s7np6eWlAlMiaBlcjUtWvXGDlypFYuDEwEziQmskSnIxFYIkuvWG3gwIH4+vpq5YkTJ3L9+vX0Fbdt4w/gOWBznvVOiEeLi4sLPj4+Fi+9Xp/uVmBgYCDjx4+nR48eFCpUCH9/f+bOnWtxrQ8++ICKFSvi7u5O2bJlGTlyJImJiTb158cff6RChQq4ubnRqFEjFi1ahE6n49atWwBcv36djh07UqZMGdzd3alevTrLly+3uEZgYCDTp0+32FezZk3GjBmjlceMGYO/vz8uLi6ULl2aAQMGZNifhQsXUr16dQDKli2LTqfj3LlzFrcCx4wZw6JFi1i/fr324XLbtm02ve+HkWN+d0A8uEaOHMnNmze18higVMrXe1OePNPl4hNoSimuJV3jSsIVriRe4UrCFf5L/A+lFMEewdTyrEUJpxK51r69ubu7M3bsWHqnJAmNiYlhwoQJTJ48OV3d59NsreXs7ExiYiJOTk4kmJKYCpFHbiff5vTd0/nWfnm38hTS23+0acqUKYwbN44RI0awatUq+vbty7PPPqutrlCoUCEWLlxI6dKlOXr0KL169aJQoUIMHTrUquufO3eOdu3aMXDgQHr27ElYWBjvvfeeRZ179+5Rp04dPvjgAwoXLsyGDRvo0qULZcuW5cknn7SqnVWrVjFt2jS+//57qlatSlRUlMUdCXMdOnTAz8+PF154gf379+Pn54e3t7dFnffee4+IiAhiYmJYsGABgMU6qY8qCaxEhsLCwvj666+1cjDwjtnxaWbbznZu+0biDdZcW8Pqa6u5kngly7p+Ln7U8qxFHc86PF/0edwc3Ozcm4ylnTPl4OBgmam9TRtYvx5at7ao98YbbzBlyhROnjwJwFdTpjDIYKDM1Kl26ZfpU7Ktn5aFsIfTd0/T81TPfGv/m4rfUMuzllV1f/75Zzw9PbVy8+bNWblyZYZ1W7Rowdtvvw0YR6emTZvGtm3btMDqo48+0uoGBgby7rvv8sMPP1gdWM2ZM4dKlSoxadIkACpVqsSxY8f49NNPtTqPPfaYRbDVv39/fv31V1auXGl1YHXhwgV8fHx44YUXcHJywt/fnyeeeCLDum5ubtotP29vb3x8fNLV8fT0xM3Njfj4+AyPP6oksBLpKKUYMGCAxaTp6RiXaQFjrqar/v68fuEC/v6ZrRJouxNxJ/j+yvf8dvM3EpR1oy0X4y9yMf4iP17/kdmXZ/PuY+/SqEijdIFPbks3pynNU4Imjo6OfPrpp7Rr1w6AeGDctGl8bafAysnJSRuxEkJkrlGjRsyePVsrZ7UU1OOPP659rdPp8PHx4cqV1A99q1atYvr06Zw+fZo7d+6QlJRk04TnkydPUreuZea6tAFPcnIyEydO5IcffuDSpUvEx8cTHx9v0xJWr776KtOnT6ds2bI0a9aMFi1a0LJlSxwdJRSwJ5ljJdL5/vvv2blzp1Z+mdT8VDrAMTSU8+fP223S+sV7F3nr1Ft0PtGZn278lGVQ5ZjkiD5Zn+GxqIQo3o98n3dOv0Pkvcgc9ysnTPMNMgrwXn75ZerUqaOVvwXOnDljWSklP9Zqs2tZIyEhAaWU3AYU4j48PDwoX7689jKf/5hW2g8q5k/d7t27l9dee43mzZvz888/ExYWxocffmjTz6DK4MnhtE8DT5kyhWnTpjF06FD++OMPwsPDadq0qUU7pqeCzZmPXvv5+XHy5ElmzpyJm5sbb7/9Ns8++6yMcNuZhKnCwp07dyyGm12BdDOAUp4IzCmlFD/f+JnPLn7GXcPddMfd/3EnYHUAhU8XxvWKK25X3HCKccLgbOBW1Vtcr3WdG7VvcLPWTRJdU38x7Lu9jw7HO9C5ZGd6+/bGTW//24OmX17mc5qspdPp+OSTT2jevDkAScDY2rVZHB2dWillxKudLSNvDRvC9u3GpwplAqnIB+XdyvNNxW/ytf28tmvXLgICAvjwww+1fbZ+4KxcuTIbN2602Hfw4EGL8o4dO2jdujWvv27MHmgwGPj777+pUqWKVsfb25vLl1NXJ42JiSEy0vJDppubG61ataJVq1a88847VK5cmaNHj1K7dm2b+mzi7Oyc9YL1jyAJrISF8ePH8++//2rl94F/nZ0JTEjggoMDAa6uYOW8gazcTr7NhAsT+O3mb+mOee/1Juj7IErtKoXOkD6w0CfoKR5WnOJhxeFbSHJL4lTPU5zpfAblZAx4kklm8ZXF7Lu9j5nlZ1LUqWi669hDVp9KXwc+Bhg7Fk6dgsGDISQE6tSh6eHD1Ad2p9RdEhPDsOPHCQ4Ozn5ntm+33AqRxwrpC1k9x+lhUb58eS5cuMD3339P3bp12bBhA2szmQqQmbfeeoupU6fywQcf8OabbxIeHs7ChQuB1Pmc5cuXZ/Xq1ezevZuiRYsydepUoqKiLAKr5557joULF9KyZUuKFi3KyJEj0etTR/gXLlxIcnIyTz75JO7u7nz33Xe4ubkRYMXap5kJDAzkt99+4+TJkxQvXhwvL69HfiqC3AoUmtOnTzNlyhSt7Af0AhrEx6NTioDkZIiNBbM1A7Pjf3f+R6eITumCqhIHStDw1YbUe6cePjt80gVVTh5OeAV44VbccgTK8a4jwV8G06hDI7z3WD61cvLuSXr93YsrCVlPgs8N3wKBAGPGwLJl0KiR8cDhw+iAT83qKmBUSvZ0c6Zs9lYlCU3Jf0VoaJa3IoUQ9tO6dWsGDx5Mv379qFmzJrt377ZIU2ONoKAgVq1axZo1a3j88ceZPXu2NgLm4mJcEGvkyJHUrl2bpk2b0rBhQ3x8fGjTpo3FdYYPH86zzz7LSy+9RIsWLWjTpg3lypXTjhcpUoR58+bRoEEDHn/8cbZs2cJPP/2Uo7xUvXr1olKlSoSEhODt7c2uXbuyfa2HhWRez0UFLfN6y5Yt+fnnn7XyD8CrgM6O/0U23tjImHNjSCZ16FiXpKPy7MqUX1xeC6Y8fT2p9lo1qrxchSKBRXAr7oaTm/FTkFKKW+du8e+Bf7m0/xIXd13kn73/GI+hiGoYxf+G/4/4EvFaG485P8asCrMo41LGbu/lvjIKapQyruuX8j1tAmwyO3zo0CHLIfk6deDwYahdGw4dsqHp1LblR1zkhoKceb0g+PTTT5kzZw4XL17M7648tHIr87rcChQAbNiwwSKoagi0wziSYq8xj3XX1vHJhU9QpP6hd7/oTp0P61D0r6I4ujlS7bVqVO9cncCGgTjoMx5Q1el0FA0qStGgolRtXxWAi7svsm3MNs5uOovvNl8K/12YPbP3EPdYHACXEi7R81RPZpefTZBbkJ3eUTbodODqCvfuATAOy8Dqo48+spxrcfiw5fZ+xo6Fzz9nZMq1hRAFw6xZs6hbty7Fixdn165dTJo0iX79+uV3t0Q2yIhVLiooI1b37t2jWrVq2pNpeiAMqIYxtYKjHf6LrLi6gs8ufmax77GNj1FjQg0c4xyp3LYyzaY3w8vfK0ftXNh5gW2jtxH5RyR3ve+yZ/Ye7gTd0Y4XcSzCzPIzqexeOUftWCUlyKFyZThyBDKY4KmAtsB6s307d+6kQYMGxoL5qJc1/w6urhAfDy4uWvAmRG6QESv7Gjx4MD/88AM3btzA39+fLl26MHz4cEmFkItya8RKAqtcVFACq/Hjx1s80TKQ1ASgkPNbgUv+W8K0S9Ms9pVdUpaq06pSrFwxmn/ZnArNK+SojbQi1kSwrvs6bjveZs9Xe4ipHKMdK+5YnKVVluLt5J3FFXJBSpCkgBtAsZRt2tzxoaGhbN261Xg7z9bAqkwZuHQJHnsM/vnHPv0WIgMSWImCThZhFrni4sWLFtl9S2JcusbkbA6v/23Ut+mCqgrzK1BtRjUajm7I28fetntQBVDl5Sr03NeT0iVL0+CtBhQ9kvpU4PWk6wyPHE6iyp/cLQowjcuZtq+99pp2fPv27WzdutVYqFTJcns/KeuKaVshhBB5SgKrR9x7771HXFycVh6C8Y+9aWzEJwdPlS27soyZ/8602FdpdiVqLavF67+8TsMxDXF0zb1hbu8q3vTa34tqz1ej3jv1KHwq9VNH2J0wvrz0Za61naFFiyAggG6AKbOMaTt27FiLH8aRI0caJ52fOGEcqTpxwro2TIn+JOGfEELkCwmsHmF//PEHK1as0MpPPvkkfVO+TgR07u54ZDO1wrZb25h60XKZlipfVKH+n/Xpua8n5RqXy+RM+3Ip7EKHNR14YfgL1H2/Lo63UwO5pVeW8vvN3/OkHwB07QrnzvGdUnQElgEdMT61V7FiRbqYVd29eze//56NvnXrBnq9cStEHpDZJKKgyq3/uxJYPaISExMZMGCAVtbpdHz11VdMBmJJybGUzZxVEXERDD89HKVL/U8bPD2Yppeb8ubeNyleMfs5U7JD56AjdGQo7T5oR+2RltmFx5wZQ+TdvF/+5hDGBKLmCRRGYXxwQCuPGpXuB/+++ak2bjROkk+TxVkIezMlgTQf8RaiIDH937V3QlOr7sPMmDHD6gua/7EWD66vvvqKv/76Syv37NmTkJAQpnbsSJEVK2jfvn22rhuVEEW/Y/1IcEzNSB70fRCvFXqN5t82x8Ex/2L5J/o9wd0bd7n5zU3+7vk3APEO8Qw8OpDldZbjobd+MVO7Snl6sCzwBmBaEGT//v1s2LCBl156yfprXbpkuRUil+j1eooUKaItRuzu7i4JaUWBoJQiLi6OK1euUKRIEYvs9PZg1VOBQUHW5f3R6XScPWvbdOdZs2YxadIkLl++TNWqVZk+fTrPPPNMpvW3b9/OkCFD+OuvvyhdujRDhw6lT58+FnVWr17NyJEjOXPmDOXKlePTTz+lbdu2NrcbERHBBx98wPbt2zEYDFStWpUVK1bg7+9v1Xt7UJ8K/Oeff6hSpQp37hjTEBQtWpRTp05RokTa59NsE5scS+f9nbnokprQrtSfpeh/sT/NJjd7IH7pKqXYOHgjX1b8kqtPXdX2P2t4lmkh07I4M/syStZZt25dDh48SEhICAeOHNHmRJ0HKmC8FQtQq1YtDh06pF3jvok/Zb1AkYeUUkRFRXFLHpYQBVCRIkXw8fHJ8G9TricITbuIo7388MMPDBo0iFmzZtGgQQO+/vprmjdvzvHjxzMMXiIjI2nRogW9evViyZIl7Nq1i7fffhtvb29eeeUVAPbs2UOHDh0YN24cbdu2Ze3atbRv356dO3fy5JNPWt3umTNnePrpp3nzzTcZO3YsXl5eREREPBSPFQ8aNEgLqsCY4TenQVWSSqL/3v5cdEsNqgqfKEzvC71pNuXBCKrAGJi0mNqCW2/dYnbAbO76Ghd//tPhTzad30TjgMZ50o8D5gtZp3xvkoDiwOOk3iIMCwtj3bp12gcDpZRFkJUuuHrsMXB0NG6FyGU6nQ5fX19KlixJojwwIQoQJycnu49UmeRrHqsnn3yS2rVrM3v2bG1flSpVaNOmDRMmTEhX/4MPPuDHH38kIiJC29enTx+OHDnCnj17AOjQoQMxMTH88ssvWp1mzZpRtGhRli9fbnW7r732Gk5OTnz33XfZfn8P4ojVxo0befHFF7XyEw4O7E5IyPF/sLE7x/Kj+49a2fU/V97Z/A4dJ3d8YIIqc8mJyXwx4AuW9liqTWwqdLMQG5/diLuTu13ayOp9W/zYmeW3Mt0odXFxIT7euCRP9erVCQ8Px8HBId110/34HjwI06alLvicwsPDg7i4ONzd3YmNjc3+mxJCiEdAnuex+ueff5g1axbDhg1jyJAhFi9rJSQkcOjQIZo0aWKxv0mTJuzevTvDc/bs2ZOuftOmTTl48KD2aSmzOqZrWtOuwWBgw4YNVKxYkaZNm1KyZEmefPJJ1q1bl+V7io+PJyYmxuL1IImLi7NYIsEBmFOzZo6DqrVH1loEVfo4Pd22d6PjpAczqALQO+npP7U/1TdV1/bdLnqbkettWzzVWll+fklZZNU8T7r57e2jR4+yatUqIOtgDTAGU0uXWgRVkDpJUyYaCyFE7rI5sNqyZQuVKlVi1qxZTJkyha1bt7JgwQK+/fZbwsPDrb7OtWvXSE5OplSpUhb7S5UqRVRUVIbnREVFZVg/KSmJa9euZVnHdE1r2r1y5Qp37txh4sSJNGvWjN9//522bdvy8ssvs3379kzf04QJE/Dy8tJefn5+Vnwn8s748eMtbuv2A6pbuwZdJk7+c5LPYiyXqnl5y8v0Gt8LncODGVSZOLk5Me7lcbj956bt2+6/na27tuZtR+bOhYAAhhcrBoC/vz/Dhg3DzS21X2PGjCE5zZI4tgw2u7u7W2yFEELkDpsDq+HDh/Puu+9y7NgxXF1dWb16NRcvXiQ0NJRXX33V5g6k/QRuPofE2vpp91tzzazqGAwGAFq3bs3gwYOpWbMmw4YN46WXXmLOnDmZ9m348OFER0drrwdpVfKIiAg+//xzrVwa+BjLx/ttdfvObfof7E+iR+rcijrb6/D+iPcf+KDKxK+yH73je2tl5agY/894bl+9neNrK6W0V0ZlTUp+q+nXr6OU4vz58/j4+PDOO+9oVSIiIvjhhx+sb7x3b+Ncq97G92a6/RcXF/fAjiIKIcTDwObAKiIigm4pyQcdHR25e/cunp6efPzxx3z22Wf3OTtViRIl0Ov16Uanrly5km40ycTHxyfD+o6OjhQvXjzLOqZrWtNuiRIlcHR0JDg42KJOlSpVuHDhQqbvycXFhcKFC1u8HgRKKd6uV89icuknQGGMa9Vl65oGxYDvB3Dd/7q2r9SJUkx9Yyp6p9yZEJhburbpSpXTVbTyjQo3GDt7LMqQv4kPhw4diodHagqIsWPHkpiYmHFwlta8ecZ8VvPm5XIvhRBCmLM5sPLw8NAm1ZYuXZozZ85ox0y346zh7OxMnTp12LRpk8X+TZs2Ub9+/QzPqVevXrr6v//+OyEhIVqCr8zqmK5pTbvOzs7UrVuXkydPWtQ5deoUAQEBVr/HB8V3333HtuhordysWTNMebmLZfOan83+jP/V/p9WdrnpwoynZuBZxDP7Hc1HE5tMxOluapK4HQ13sOGrDbnfcO/eJOp0zDFP+tm2LTg44N27N/3799eqnjp1SnsAw1YySiWEEHlE2ah169Zq7ty5Siml3n//fVW+fHn1ySefqNq1a6vnn3/epmt9//33ysnJSc2fP18dP35cDRo0SHl4eKhz584ppZQaNmyY6tKli1b/7Nmzyt3dXQ0ePFgdP35czZ8/Xzk5OalVq1ZpdXbt2qX0er2aOHGiioiIUBMnTlSOjo5q7969VrerlFJr1qxRTk5Oau7cuervv/9WX375pdLr9WrHjh1Wv7/o6GgFqOjoaJu+L/b077//qqJFiyqMD50pV1CnT59WysFBKTBubfTTsp9U3V11Ve1DtY2v/bXVhn0bcqH3eeubI9+kvqdDtdVLk19SV09czd1GQRlAJadslbOz8d8l5XXt2jXl6emp/fuVK1dOJSYm3v+6bm7Ga7i5pTSD9hJCCJG1nPz9tvm37JkzZ9SRI0eUUkrFxsaqvn37qurVq6u2bdtaBCbWmjlzpgoICFDOzs6qdu3aavv27dqxbt26qdDQUIv627ZtU7Vq1VLOzs4qMDBQzZ49O901V65cqSpVqqScnJxU5cqV1erVq21q12T+/PmqfPnyytXVVdWoUUOtW7fOpveW34GVwWBQrVu3tvij+onpD2toqPEPb5rv7/2cPXBWNVzR0CIAmbBpgt37nh+SDEnqlT9fsXxv3Scog8GQe43qdMqQElQZzAIq7aWU+vDDDy3+Db8Fpby8sr7uokVKBQQYt0oCKyGEsEVO/n7nax6rh11+57Favnw5nTp10sq1gT2As1Lg4QFxceDublwT0Apx1+LoOacnJ1uk3iKtcrUKi5ssxkH3cCw7GREbwesnX9fKxQ4X4zP9Z9R+o3YWZ+VA797w7bfG+VAmer2xrNdDUhI3btwgKChIS98RCJwCnORHVwghckWe5rEqW7Ys169fT7f/1q1blC1b1tbLiVzy33//0f/NN7WyE/AtoD3rNnSoMagaOtSq6xmSDUz6eJJFUOVxx4MZjWY8NEEVQBWPKjzn9JxWvlH7BotXLCb2Si4l1Zw7F5KSIOXhC4oXh5Ejjf82I0em7CpukRPtHLDQze3+CzILIYTIczaPWDk4OBAVFUXJkiUt9v/333/4+/trE9tF/o5YtWvXjtWrV2vlscAoUyEbIx1rPl7DpKcnkVAkdXHl6aWn84xP5us6FlQX4y/y8tGXMTgY024U+rsQ/X/qzytLXsmX/mQUOPnrdFww+3eUgWchhLCfXF8rEODHH1Mza//22294eXlp5eTkZLZs2UJgYKBNjYvcsXLlSougqhww/JlnYMcO4+K8Njq+7jhfl/jaIqh6xfGVhzKoAvBz8eOVEq+w8sZKAG5XuM0vN36h5qaalGtcLvc70LYtrF8PtWrB9eu8DixJU+WCUkwHBuV+b4QQQtjA6hEr83XK0p7i5OREYGAgU6ZM4aWXXrJ/Lwuo/Bixunr1KlWrVuXq1auAMXLeBjTI5ojG9VPXeXfSuxzte1TbFxgfyPdPfo+Tg1MWZxZs1xKv0ep/rYjXGUdg3S+58/J7L9MvrB9O7rn7vg06HaYxKh2ATocu5d+vKHAz5dhjwKWUr2XESggh7CdP5lgZDAYMBgP+/v5cuXJFKxsMBuLj4zl58qQEVflMKUWvXr20oApgCLAlm2sBJt5NZPZ7sznW85i2zynJiSm1pjzUQRVACacSvO6bOok97rE4wmuFs31c5ksa2Uu6G39KYQBigPfMdl8CZsyYYXNQJXOzhBAi99g86zgyMpISJUrkRl9EDn311VesX79eK1erVo2P791jVFJStq7343s/sqn7JpRT6h/uDwI/INA1MKddLRC6lOqCl0PqLe9TPU/x5+w/uXn2ZhZn5VxmsxQ9gXqA+U/f+PHjuXv3bq72RwghhPWsmmM1Y8YMevfujaurKzNmzMiy7oABA+zSMWGbsKVLeW/QIK3s4uLCkiVLcHFxydb1ji47yrLCy7gTeEfbF+oaShvvNjnsacFRSF+IHr49mHZpGgAJxRI43f40W4Zvod0P7XKtXddFi2DUKO6dP48LkEzKD6qrK43u3mWoTofpWc6oqChmz57NkCFDcq0/QgghrGfVHKugoCAOHjxI8eLFCQoKyvxiOh1nz561awcLsryaY3X79m3qPPYYf99OXTh45syZvP3229m63rWT1xjbfyy7J+7W9hUzFGNVzVV4OXplcebDJ94QT9u/2vJf4n8AON5xpPGLjXnr97fwq+eXq22b36oz/zGNfeMNyi5cyJWUsre3N5GRkRbrCgohhMi+XJ9jFRkZqS1yHBkZmelLgqr80a9fP4ugqm3btvTt2zdb10q8m8jinos5OPSgxf5PK376yAVVAC4OLrzl+5ZWTvJMIvLVSDa9tylvJ4y7uYFOB25ueCxYwPBp07RDV69eZebMmXnXFyGEEJnKUWZHZVwSx159EdmwePFiFi9erJW9gPnz52d7YvIvg35hc7vNJBRLTa3QybsTTxR+IqddLbBaFG+Bj7OPVj7b+SyRhyOJWBNhtzYymlBu+vlSSsG9e8adKdu33nqL0qVLa3U///xzbpsF10IIIfJHtgKr+fPnU61aNVxdXXF1daVatWp888039u6buI+TJ09a3O7TA6uAokWLZut6R5cfZe31tfz3zH/avrKOZen/WP8c9rRgc9I50bVkV62cUDSBC60vsPmDzSQnJGdxZu5xc3NjxIgRWvn69etZz39s2NA44tWwYa73TQghHmU2B1YjR45k4MCBtGzZkpUrV7Jy5UpatmzJ4MGD+eijj3KjjyID169f56WXXiLWbJ2/j4D92Zysfv3v6ywft5y/hvyl7XNSTkyoMAFnB+ecdrfAa1WiFUUdUwPWM13OcP38dQ7MPpCj6+r1+nSji9amQ+jZsyd+fqnzvCZPnkx0dHTGlbdvt9wKIYTIFTYHVrNnz2bevHlMmDCBVq1a0apVKyZMmMDcuXOZM2dObvRRpBE/ciRtS5bk9OnT2r4XypZllJsbI4YPt/l6SfFJ/ND5B/Z+tJdk19QRmAF+AyjvVt4ufS7o3Bzc6FQydUHru753+afZP/z58Z/cu3Uv29c1GAzWVTRfSzCFi4uLxYeZW7duMW3atIwDMx8fy60QQohcYXNglZycTEhISLr9derUISmb+ZKE9ZRS9JwwgR1mf5DLlSvH8suXcbh7Fz7/3OZrbnp/E9vqbyO6cupox5OeT/Ka92t26fPD4tUSr+LhkPrk3enup4m7Gcefn/6Z7WuaVjRwcHDIes7itWugFLrr11ODpsBAur/1FoFmCWDHjh2b8flRUanb3r2z3V8hhBBZszmwev3115k9e3a6/XPnzqVz58526ZTI3Lhx41iSnDqqVLRoUTZu3EiJDz4Ad3cYOjSLs9OLWBvBz/t/5kzXM9o+L50XY4PG4qDL0bMND51CjoV41ftVrXwn6A6XG15m/5f7ibkUk61rJicno5Qi2ezf1GLSelbOn8cZGJVs4zyvefNs76gQQgirWJUg1Dz5oE6n45tvvuH333/nqaeeAmDv3r1cvHiRrl27ZnYJYQdLly5l9OjRWtkRWLt2LRUrVoQXX4RTp4xbK906d4sVg1cQNjfMYv+YoDF4O3nbq9sPlU4lO7H8ynLilTE/+uk3TuO71ZedE3fS4ssW+dKnLkAPs7K7uztxcXGA2dqeOh3IE7xCCJHrrBqSCAsL015Hjx6lTp06eHt7c+bMGc6cOYO3tze1a9fmr7/+uv/FRLZs2bKFHj16WOz7BggNDTUWpk2DFSuMWyskJyaz8rWV7Bu0j/gSqYuotPduz7NFnrVXtx86xZ2K07pEa618q+otrj1xjcNzDxPzT/ZGrWyR0WiWI+DsnPqAgSmostCzZ+rXAQHpDhcrVgydTkexYsXs2V0hhHjkWDVitXXr1tzuh8jCTz/9xKuvvkpCQmpuqZFAN1NQBTB4sOX2PrYM38Iu/13896xZagWXsgx8bKA9uvxQ61KyC6uvriYZ4y24v9/4G+++3sZRq6/ycNTKywuio8HLi7s3blCjRg2OHTuWcd25c+HbbyE5Gf75B4C6dety8OBBQkJCuHnTuP6haSuEECJ7bJpEk5SUhKOjY+a/vIV9jR3L9y4uvNymDfHxqaNKHatVY6ybGzRqlFo3JASWLjVu7+PE+hP8tu43/hpklloBJ8YHjcfVwdWub+FhVNqlNM2KNdPK1564RnTFaA7PO0z0xUzSHeSGW7eMt/du3cLBwSHdxPW+fftaztPq0QP0euMWOHjwoLY15T7Lbg40IYQQRjYFVo6OjgQEBFhMtBW5Z9748XRKSCDJ7AnA9u3bs/DMGXTZfALw5tmbrHprFQc/O4jBNfW6g8oMooJ7Bbv0+1HQpVQXi/LZ186SnJDMzgk7c7dhFxfjfKkM8pW1bdvWovzNN98QGRmZumPuXEhKMm5Be7o3JCSEGzduAMYRq+xm7RdCCJGNpwI/+ugjhg8frv0iFrlj6tSp9E5IwHy6cc+ePVm2bBnO2XwCMOleEiteXcH+fvu5E3RH29+gcAM6eHewU88fDRXcKlC3UF2tfKnZJeKLxnP4m8NEX8jFUSvT7WCz28ImaQOixMRExo0bl+mlDhw4gFKKgwcPSjAlhBB2olM2LvZXq1YtTp8+TWJiIgEBAXh4eFgcP3z4sF07WJBlZ3XsmJgYBg0axIIFCyz2Dx48mClTpuToD+CGdzaw+vJqjnx0RNtX0qkky6oss8gqLqyz/dZ2hpxNfWK20uxKVPqmEnXeqsNLc17KnUbN//0z+NF1cnKyyCfn4OBARESE8cnRTC+Z/v+UrAEqhHiUZefvt4lVk9fNtWnTxtZThJV27NhB165dOXfunMX+EcAnOQyqjn1/jC2bt3B04VFtnx49E4MmSlCVTU97PU0ZlzL8E2+cDH7u1XNUWFiBsG/DeHr40xQJKJLnfXr11Vf54YcftIzuBoOB0aNHs3z5cqvOl4BKCCFyxuYRK2E9ayPe+Ph4Ro0axaRJkyz+sOmAKU5ODP7wQzDLX2WrayeuMTN0Jlu+3kKsf+ragoMfG8zrpV7P9nUFLLuyjCn/TNHKtT+qTZlfylC7V21azm1pv4YOHjSm0vjtN7h+3bg0zeXL6aplFHzrdDrCw8N5/PHH7dcfIYR4iOVkxCrbqbUPHTrEkiVLWLp0KWFhYfc/4VGWye3RxMREVq5cSd26dfn8888tgqrAwED+3LGDwQkJOQqq7kXfY3mb5Rx494BFUBXqFUrnkpIpP6daFW9lsczN2dfOolCELwy3b16rp56CZctSnwTMIKjKjFKKGjVqpO5o2NB4S7FhQ/v1TwghBJCNwOrKlSs899xz1K1blwEDBtCvXz/q1KnD888/z9WrV3OjjwXfrFkWxf/++49PPvmEoKAg2rdvz9GjRy2Ov/nmm/zvf//j6aefzlGzyqBY+/paDtQ5wOUXUv8Ql3YuzZiAMTJh2Q489Z60LJ46MnWr2i1uVr+JIdHAnml77NeQ6UnczJ7I7d0bHB0xX2zqxTRZ+Hfv3m38Yvt2y60QQgi7sTmw6t+/PzExMfz111/cuHGDmzdvcuzYMWJiYhgwYEBu9LHAm6TTsXjxYkaOHMnLL7+Mv78/I0eO5NKlSxb1vL29WbduHd988w2FChXKcbtbR29l5/Wd6fJVfRb0GYUdbRvaFJl7zfs1dKQGqWc7ngXg0NeHuHvjrt3bMy3CbBEYz5sHycn0ITU7+6effmpx3ogRI1KXtzFeyO59E0KIR53Nc6y8vLzYvHkzdevWtdi/f/9+mjRpwq1bt+zZvwLNdI/2ftzd3enatStjxoyhVKlSdmn7+OrjfPvet+xYtIMkz9SnxIb7Daeddzu7tCFSDT4zmD+j/wRAl6TjhZYv4HbFjYYfNyR0ZOh9zrbC2LEwcSKUL8/+Y8eoC/wBPG/68c3kacG0o5K//fYbTdq31zK2Iz+vQgiRTp7OsTIYDDg5OaXb7+TkpD2JJKxTrlw5pk6dyqVLl5g9e7bdgqr/jv7Hin4r2D9tv0VQ9WqJVyWoyiUdvTtqXytHRWR7Y2LO/TP2kxiXmPMGRo8GR0dICaoAniN19Er7yUsTSJ06dQq9Xq+VR4wYgfriC+N6gTNm5LxfQgghLNgcWD333HMMHDiQf//9V9t36dIlBg8ezPPPP2/Xzj1s9Ho95cuX5+WXX2bDhg2cOnWKwYMHU6RIEbu1cffGXZa/spw9o/ZYTFYP8QzhXb937daOsFS3UF3KuZbTyufbnifZOZm4a3GEfWunhzvuGJO66sxeJnPBuFyN+WLLQIUKFSwW7z506BBrPD3h3Dno2jXDZhwcHNDpdDg4ZPvZFiGEeGTZfCvw4sWLtG7dmmPHjuHn54dOp+PChQtUr16d9evXU6ZMmdzqa4FjGkpctWoVNWrUICAgIMPRPntJupfEd02+4+d6P3OuwzltfxnnMiyqvIgijkVyrW0Ba66t4dMLqfOaao2shd9GP7wCvOj/d3/0TvoszrZC5cpw8qTFLvPgSikFbm5w755xR6VKcOIE//zzD+XLl9fWm6xcuTLHjh2zGMmyuKbZqJdkYxFCPIry9Fagn58fhw8fZsOGDQwaNIgBAwawceNGDh06JEFVJho3bkz58uVzNahSBsXaLmvZVmabRVDlofNgernpElTlgeZFm+Op99TK59qdAyD6fDR//fBXJmdZR6/Xozt5Eh0wGoxLGo0Zg7+/P4C21YIq0IKwMmXK8M4772i7T5w4wXfffZdpW6bASp4aFUII20mC0FyUk4jXFkopfhv8GyvPriR8TLi23wEHppebTgOvBrnWtrD0+cXP+eHqD1o59LVQvP72wruqN33/1xedQ/aClbRBTqY/tuajTaR+crpy5Qply5blTsrtRH9/fy5cuHD/6wkhxCMoXxKEigfHnql7WHt0LeEjwy32Dy4zWIKqPPZKiVcsyqZRq6t/XeXvjX/bpY0sR5KcnS2Kp1O23t7evPtu6hw786BKCCGE/UhgVcAdXX6UpauXcmj8ITCbMvOmz5t0Ktkp/zr2iCrnVo7anrW18qXml0hyNz6ZuXPizmxf1zSR3MHBIeunb+PjLdItlDU7NGTIEEqUKJHtPgghhLg/CawKsNO/nWb+1PkcmHwA5ZT6x7S9d3v6+vbNx5492tqVSE1pkeSRxMUWFwG4uOsi/+z7J1vXTE5ORilFctrM6yVKGG//mQKmxYshMBBIfXLQdJuvcOHCfPTRRxanDwVGIvOphBDCXqwKrIYMGUJsrPHR/T///JOkpKT7nCFy26mfTzFr2Cz2TNlDsmvqH9sXi73I+2Xelz+U+ei5Is9R1LGoVj7X7hwKY3Czd9pe+zZ2/brl9q234Pz5TKv36dOHwJTAC+ArIOOkC+kVK1YMnU5HsWLFstVVIYR4FFgVWH355ZfapNdGjRpx48aNXO2UyFrE2gi+mPQFO7/aaZEAtKFXQ0YFjMJBJwOR+cnJwYnWxVtr5dsVbnPz8ZsAHF91nFvnb+Ve4+ZPBaYwXwLHxcWFTz75RDsWB7xm5aVv3rxpsRVCCJGeVX+BAwMDmTFjBtu3b0cpxZ49e/jzzz8zfIncdeyHY0xZOIV9k/aR7JY6UlXXsy7jg8bjqHPMx94Jk1dKvGKxfqBpErtKVuz/cn/uNVw7ZX6Xq6tl2UzHjh2pUaOGVg7X6zmZJj9WRooWLWqxFUIIkZ5V6RbWrVtHnz59uHLlCjqdLtNHs3U6Xfo5II8we6dbCF8czuTtk4l4J8Ji/9OFn2Zi2Ym4ObjluA1hPwNOD2BXzC4AHBIdaNysMS63XHAp7MLgfwbjUsgl543UqQOHDxsDqEOHwMUFEhKMTwemJATNKOHnr7/+SvPmzbX9rwIrANq0gbVrc94vIYQowHI93UKbNm2IiooiJiYGpRQnT57k5s2b6V5yizB3KKXY8fkOPvnrk3RBVZtibZhSbooEVQ8g80nsBicDF1saJ7HHx8Tbb5mbQ4eMTwEeOmQsJyRYbjEu8m3amm4JNm/enEaNGml1VgIHANavz7I589uKQggh0rNpMo6npydbt24lKCgILy+vDF/CvuJvxzO/53w+LvYxkR0iLY718unFRwEfye2/B1QDrwb4OPto5QvtL6B0xhGjfV/sw5CcC4uW+/hYboHY2FiUUtoDKCafffaZRfkDQLVqBcCcOXMIDAxkzpw59u+jEEI8xLKVeT05OZl169YRERGBTqejSpUqtG7dOtO1xx5VOb0VeO3kNSZ8NoGd3XaSVCh1krrOoGNYwDDaebfL4mzxIJh/eT6zLs/SyvX61MP7gDcA7Ve3p8rLVezboKMjJCcbF2ROSgJfX4iKMgZaly+nuy3Yvn17Vq5cqe3b4OBAizffRDdvnkU9E1lHUAjxKMjTzOunT58mODiYrl27smbNGlatWkWXLl2oWrUqZ86csfVyIhOHfzxM77W92dZvm0VQ5ZrsyuTykyWoKiBalWiF3ixz68V2F7Wv90zdY/8Ge/QwBlU9ehjLUVEWW6WU9gL49NNPcXRMHfF832Agaf78TC+f9nwhhBCWbA6sBgwYQNmyZbl48SKHDx8mLCyMCxcuEBQUxIABA3Kjj4+U6EvRfDruUwYykPNNLPMRVVaVWfH4ChoWaZg/nRM283by5mmvp7Xy5UaXSfAyzn/KScLQTM2daxypmjvXquoVKlSgT58+Wvk48K2bm8WC4TKnSgghrGfzrUAPDw/27t1L9erVLfYfOXKEBg0aaPmuhG1DiYn3Evlm6TesLLSS6PLRFsd0Bh3di3SnT7k+Mp+qAPoz+k8GnxmslatOrkq55eWMX3eoSrvvc3H00TwgyuRH/erVq5QsWVIrlwJO376Np6dnuoDK39+f81kkIBVCiIdBnt4KdHFx4fbt2+n237lzB+c0C8CK+0tISmD5r8t58ccX+abWN+mCqqK3izKvwjz6le8nQVUBVb9wfUo6pQYuUV2jtEzsx1ce57+j/+Ve46afySx+Nr29vS3K/wGTJk3KsK4s3iyEEFmzObB66aWX6N27N/v27dPmWuzdu5c+ffrQKuWJIpG1uKQ41oStoeeqnoTuDGVyyclcL3/doo5jvCNtEtuw7ul11PKqlU89FfbgqHOkVfHUn43rJa9zs7oxe7kyKDa9vyl3Gu7d2ziRvVcvLaeVtSZNmsSlS5e0n3HTgynygIoQQmTN5luBt27dolu3bvz000/aPIykpCRatWrFwoULJeWCGdNQ4ld7vuJm8k2i4qK4knyFc0XOkeyccSJVhwQHGt5qyPsN36eka8kM64iC59/4f2n1VyttpKra4WqU7VVWO975186Ub1revo3q9WAwgIMDJCff94m+JUuW0KVLF63co0cP5qdMZJ8zZw4TJ05k2LBhFnOyhBDiYZSTW4HZSrcAxqcDIyIiUEoRHBxM+fJ2/qPwEDD9w9TYXgO9Z9af9HVJOupE1mH488MJLBGYNx0Ueeqdv99h723jIswuuPB8o+dxjDHe3i1ZvSRvhb2Fgz5n6zyaB093AHdA5+AArq6MiotjXMqxjH7sDQYDdevW5fDhw9q1wsPDefzxxwFwcHBAKZVu9QV5QlAI8bDJ0zlWJuXLl6dly5a0atVKgqpscoh3IOBIAK///Tpry6zl6w5fS1D1EGtboq32dTzx6MelBttXjl4hfGG4XdtzN31hMEBcHKPuU9/BwYHJkydrZaUU77//vkXZfJuZunXrotPpqFu3bjZ6LYQQBVu2R6zE/ZmPWDk5OeF61RW3q24UiylGfff6vNzwZcpUKpPf3RR5JNGQSPNjzbmZZJxfVcmpEtUbVCfhtjH9gqePJ/3/7o+zZ/YfAjEfsdoMPAdYPNdnxY97S52On83KGzdupHnz5laPWEkSUSFEQZcvI1bCepNOT2JV8ip+rvUzv3b/le8Hf8+AtwZIUPWIcXJw4qViL2nlk4knCRwfqJXvRN1h9+Td2W9g8WKUgwMKUAEBPK8UumwENp+XLo35jeshQ4aQmJiIwWBAKaVtM0sUGhISYrEVQohHiQRWeeDJdk8S8HQAXn5eOZ5DIwq2NiXaWJQjX4yksF/qp6Hdk3Zz+9/06UysEdetG8pgME6PN8811auXcSJ7r15WXafKrVv0NSufOHGC2bNnW92PAwcOAHDw4EFJLCqEeOTY/Ff+woULGX5KVUpJjhsh7iPQNZDanrW18q/Rv/L0hNTM7Ilxifzx0R/ZurZr2h2OjsaUCzZmY2foUMa4uVHUNfWKY8aM4fr161mcJIQQArIRWAUFBXH16tV0+2/cuEFQUJBdOiXEw6xt8dRJ7LGGWP5r+h++dXy1ff/77n/Ex9iWdwpgLRhvA5p2JCeD2WLKgDHQMgVcvr7GzOy+vpZ1Ro+meFwcYz77TNt18+ZNxo4da3Of7mfOnDkEBgYyZ84cu19bCCHyg82BlWnyalp37tzB1TXdZ2YhRBqNijbCw8FDK/9440ee/ehZrWxIMnBx98WMTs3SEH9/9ECQv3/mlebNSw240izQnFbfvn2pXLmyVp41axbHjx+3qi/WLtY8ceJEzp8/z8SJE626rhBCPOisXiNlyJAhgPGJn5EjR+Lurj3MTXJyMvv27aNmzZp276AQDxs3BzeaFWvG6murATh05xCODRyNj++lxCHn/zxP+Wa2pTGxWMPPmrlNPj6pQdXYsTB6dOqxtm1xWr+eqU89RYuUXcnJybz77rv88ssvNvUrK8OGDdMSjwohxMPA6hGrsLAwwsLCUEpx9OhRrRwWFsaJEyeoUaMGCxcuzMWuCvHwaFO8jUX5t4Tf8Knho5Uv7MjhfMVFiyAgwLjNzOXLqV+PGWN5bN06UIrme/bQrFkzbfevv/6KTqfTXjnVp08f6tevT79+/ejUqVOOryeEEPnN5jxW3bt358svv6RQoUK51aeHRk7yYIiHm1KKjic68vfdvwHwdvKm3zf9ODTjEAB6Zz3Doofh6GrnhbcrV4aTJ6FSJThxwnJky/xXgdlyOBHHjlG9enWSk9Mvw2SPPFWOjo4kJyej1+tJSkrK8fWEECKn8iyPVVJSEkuWLLG85SCEsJlOp6N18dZa+WriVWKaxGjl5IRkLu2/ZN9GAwONQVVAgDGoysIog4E7KdsqVarw9ttv27cvZtq3b49er6d9+/a51oYQQuQVmwIrR0dHAgICMvzkKoSwTfNizXHSOWnl/UH7LY6f/9POH2BMH4jMPhgps5f5rb1xQKGULRjTLRQvXlw77unpyb///muXbi1btoykpCSWLVtml+sJIUR+svmpwI8++ojhw4dz48aN3OiPEI+MIo5FaOjVUCvvvrcb95DUh0JyPM/KCjfSbNMaCeDhQbEvv+TTMqkrBdy5c4ehQ4fmcu+EEKLgsXmOVa1atTh9+jSJiYkEBATg4eFhcfzw4cN27WBBJnOsxP3sidlDv9P9tHLjXY1xG+AGgLOnMx/c/AAHRztl669TBw4fhtq14ZBxLlfaCeimXwem/YmkPjqcDDwBmP+E79ixg6effprM6PV6DAYDDg4OMtIthCgwcvL32+aZsW3atLH1FCFEJp4s9CQ+zj5EJRjTHhyrc4wQQtChI+FOAlHhUZQOKW2fxlKCKXPu7u7ExcXh7u5ObGystl/7vGUWeOnbtOGrdeuob3Z+v379OHToEHq9+eqCqQwGg8VWCCEedjaPWAnryYiVsMbX/37N3KjU5Wae7v40xY4WA6DJlCbUG1Iv9ztRpAhER4OXF9y6lbrfwcH4tKBOpz0l2F0pzJM4uLm5cffuXYoWLZpuioCMWAkhCqI8eyowN8yaNYugoCBcXV2pU6cOO3bsyLL+9u3bqVOnDq6urpQtWzbDpTBWr15NcHAwLi4uBAcHs3bt2hy1+9Zbb6HT6Zg+fbrN70+I+2lZvCU6UkeGLndOzS+VF/OsAGNQZb41GT0a3N215KHRSjEB48R2k7t37wLGZW/SSk5ORiklQZUQ4pFhc2CVnJzM5MmTeeKJJ/Dx8aFYsWIWL1v88MMPDBo0iA8//JCwsDCeeeYZmjdvnulizpGRkbRo0YJnnnmGsLAwRowYwYABA1i9erVWZ8+ePXTo0IEuXbpw5MgRunTpQvv27dm3b1+22l23bh379u2jdGk73Y4RIo3SLqV5otATWvli6EWS3Iz5nM7vOI8y5OOg8ujREBurBVaFAR8go1UDixYtmpc9E0KIB5Oy0ciRI5Wvr6+aNGmScnV1VePGjVNvvvmmKl68uPriiy9sutYTTzyh+vTpY7GvcuXKatiwYRnWHzp0qKpcubLFvrfeeks99dRTWrl9+/aqWbNmFnWaNm2qXnvtNZvb/eeff9Rjjz2mjh07pgICAtS0adOsfm9KKRUdHa0AFR0dbdN54tHz6/VfVe1DtbVXj5Y91BjGqDGMUVf+upL7HfDyUgqM2ywcB2UAFWaZqUHpdDq1d+/eHHVh9uzZKiAgQM2ePTtH1xFCiJzKyd9vm0esli5dyrx583jvvfdwdHSkY8eOfPPNN4waNYq9e/dafZ2EhAQOHTpEkyZNLPY3adKE3bt3Z3jOnj170tVv2rQpBw8eJDExMcs6pmta267BYKBLly68//77VK1a1er3JUR2NCzSkML61Pv4F9qkjp7aPZ+VmRCdjqU6HSHR0ca5VObzqzJQRSl0SlFTKf744w9tv1KKPn365ChzuizILIR4GNgcWEVFRVG9enXAmCQwOmVOxksvvcSGDRusvs61a9dITk6mVKlSFvtLlSpFlGlh2Azazqh+UlIS165dy7KO6ZrWtvvZZ5/h6OjIgAEDrH5P8fHxxMTEWLyEsIaLgwvNizXXyjdq3uBOwB0gd+dZbQY6pWyztHixMXP74sXarkaNGlms7xceHs7MmTOz3Zdhw4YREBAgCzILIQo0mwOrMmXKcDll8dby5cvz+++/A3DgwAFcXFxs7kBGeXSyWtz1fnl3rL1mVnUOHTrEF198wcKFC21aaHbChAl4eXlpLz8/P6vPFcJ8iRuAC62MAdX5P8/bZU2+jHiZb9u2zbzigAHGjO2mDxq9e4OjI1N0Ory8vLRqH330EZcuZW8pnj59+nDu3Dn69OmTrfOFEOJBYHNg1bZtW7Zs2QLAwIEDGTlyJBUqVKBr16706NHD6uuUKFECvV6fbnTqypUr6UaTTHx8fDKs7+joqC23kVkd0zWtaXfHjh1cuXIFf39/HB0dcXR05Pz587z77rsEBgZm+p6GDx9OdHS09rp48eL9vxFCpKjkXonKbpW18sWXLmJwNBDzTwzR56OzONM2xYoVQ6fTaVsdGJ9JXLcu85NSnvzTtvPmQXIyPkuXMmHCBK3anTt3GDRokN36KoQQBY3NgdXEiRMZMWIEAO3atWPHjh307duXlStX2jQ3wtnZmTp16rBp0yaL/Zs2baJ+/foZnlOvXr109X///XdCQkJwcnLKso7pmta026VLF/73v/8RHh6uvUqXLs3777/Pb7/9lul7cnFxoXDhwhYvIWzRukTqqFV8iXiu1L8C2HeelSktws2bN7Wn/e5rxAhjTquEhHQjW71796Zu3bpaedWqVfzyyy92668QQhQodp1Gb6Pvv/9eOTk5qfnz56vjx4+rQYMGKQ8PD3Xu3DmllFLDhg1TXbp00eqfPXtWubu7q8GDB6vjx4+r+fPnKycnJ7Vq1Sqtzq5du5Rer1cTJ05UERERauLEicrR0dHiiaX7tZsReSpQ5IXoxGj11OGntKcDW0xpocYwRq3vud5ubdxJebLvjunHX683PhGo12d9ok5nrKfTKRUaqhSozWZPBTo4OGhPCQYFBam4uDi79VkIIfJSnj4VCHDy5En69evH888/zwsvvEC/fv04efKkzdfp0KED06dP5+OPP6ZmzZr8+eefbNy4kYCAAAAuX75skVsqKCiIjRs3sm3bNmrWrMm4ceOYMWMGr7zyilanfv36fP/99yxYsIDHH3+chQsX8sMPP/Dkk09a3a4Q+aWwY2EaFWmklf97+j/uFb/HhT/tMIH94EHo3BnTMs/uAA0bQnIyhIaC+RN9lSsbs61XTr01ib+/cavTQY8eoBQvpBxSStGvX+qah5GRkXz66ac577MQQhQwNi9ps2rVKjp27EhISAj16hmX2ti7dy8HDhxg2bJlvPrqq7nS0YJIlrQR2bE/Zj99T/fVylW+qEKFxRUYcmkIhUoXyuLM++jcGVassAygzJn/KjB/aMO039HRGISBtvSN+ZI1N2/epHLlytrDLU4ODoT973+SrkQIUeDk6ZI2Q4cOZfjw4ezZs4epU6cydepUdu/ezYgRI/jggw9svZwQIo2QQiGUdk7N9H+x9UUUijObzuTouqv9/Vnn7Eyse8qYlY+PbRcwfzglOhoaNrRYsqZw4cJ88cUXWpVEg4GePXvKcjZCiEdKtvJYde3aNd3+119/PdP8U0II6znoHGhZvKVWvhN4hxs1bnD297M5uu67y5fTNi6Oqt7exlGoy5ehVy/Q643b+5k7F8aMSS1v356uSrt27XixQgWtvHfvXmbNmpWjfgshREFic2DVsGHDDBcs3rlzJ88884xdOiXEoy7twswXW13kzKYzOVo3MMMEnHPnGm8Nzp1rWXnMGOPiy+aBFNz3KUKdTseszZvxNNs3fPhwLly4gF6vR6fTodfrs/0ehBDiQWfzHKs5c+YwatQo2rdvz1NPPQUYP5WuXLmSsWPHWixW3KpVK/v2toCROVYiJ975+x323jYuE6WP09O0aVPe3vk2vrV887djGc2/SmOmoyP9zG4BtmjRgo0bN5qdlo8LSwshxH3k5O+3zYGVg4N1g1w6ne6Rn1shgZXIid9v/s7wyOFauca4GvR4qgdPf/B0PvaK9IHV2LHw+ecwdKg2omXQ6Xga2GNxmg6lFA4ODqm/Gw4ehGnTYPBgCAnJs7cghBBZydPJ6waDwarXox5UCZFTDb0a4qVPXS7mQpsLOZ5nlRM6nQ6dToc2hd6UnmT8eIiLM25TOISG8g3gZBaEFS9enKtXr1r+bpg2DX74Adq1MwZZQghRwGUrj5UQIvc5OzjzUvGXtPLN6jc5evkoCbEJ+dgrKA/Gkapz54w73NwstwDbthGsFB+Ghmq7rl27xuDBgy0vNngwlCkD//xjDLKEEKKAk8BKiAdY2oWZz7U4Z9flbexixgzj6NWMGekODd+xA/MsVkuWLGHDhg2pO0JCYNUq6NDBGGSl6NSpE46OjnTq1CkXOy6EEPYngZUQD7BybuWo6pIamlxscZGTm2xf5SC7TLf/TPOjTC8LXbsaR68ySMPirBTzwOz5RujVq5e2XmFmVqxYQXJyMitWrMjxexBCiLwkgZUQD7iXS72sfZ1YJJGtN7fmY2+sYwrGbhoM1AMGOztrxy5fvszAgQNTK0+bZswIb3YrsH379uj1etq3b5+HvRZCiJyTwEqIB1yTok1wSXLRysfqHiP6YnSetL0PMKRss2MAQEAAn8ycScWKFbX93333HT/++KOxMHgwtG9vcStw2bJlJCUlsWzZsmy2LIQQ+cOqwComJsbqlxDCvtz17jyre1YrX3vqGvu2ZzfUsU1d862bmzHVgvkk9bFjwcPDuM3AEoBz53Dr2ZOFCxdapGt56623uHHjhnGe1dKlkm5BCPFQsCqwKlKkCEWLFs3yZaojhLC/TpUsJ3H/dOunPGlXZ/bi3j3jTtMWjAFVXFy6wKpjx47o9Xo6duyo7atXrx7vvvuuVo6KimLAgAGpJx08aFwoWtIuCCEKMKsShG7PYE2wzISaPV79qJMEocJelFI0+60Z10peA8Dtqht/PP8Hzo7O9zkzh4oUMS647OVl3KZ2yLg1y1Pl7OREYmIiTk5OJCRknBLi3r171KpVixMnTmj71q5dS5s2bYxB1YoVxtuCS5fmwpsRQgjr5OTvt6M1lSRYEiJ/6XQ6nrv3HCswPiV31/suv4T/QuuQ1vc5MxsOHoQmTeDmTahdGw4dMu43D7JM2rSB9euhdWsS160DIDExMdNLu7q6snDhQurXr4/BYACMtwQbNGiAt2mOVdpcV0IIUYDYvKSNSVxcHBcuXEj3yfTxxx+3S8ceBjJiJezp/NnztLvSDoOzMSCp/l91FjZfaP+GihZF3bqlFXVW/oqYq9PxBrAA6J3ROQ0bwvbtEBrK8Hr1mDhxonaodevWrF27Fp35cjlCCJFP8nStwKtXr/LGG2/wyy+/ZHhclrJJJYGVsLd2X7Ujsn4kALpkHb/U/AVvJ2/7NqLTYfqlEA+4Wvsrwjwo8vGBqCjj9vLldMfj790jJCSEY8eOafu++eYb3nzzzZz1XQgh7CBP1wocNGgQN2/eZO/evbi5ufHrr7+yaNEiKlSokPr4tBAiV4TGpN6WV3rFmktr7N9I7dqAMajqbct5jo6p26go49emLYCLi7Z1cXFh6dKlOJvltxo4cCCnT5/OdreFEOJBYHNg9ccffzBt2jTq1q2Lg4MDAQEBvP7663z++edMmDAhN/oohEjRuEZj3P9x18pr/luDQRns28ihQ+iUwlUpFtsyoP3RR+Dubtya0iqYpVdg7lzj0jdz5wLGaQOffvqpdjg2NpYuXbqQlJRkj3chhBD5wubAKjY2lpIlSwJQrFgxrl69CkD16tU5fPiwfXsnhLBQ7rlylP25rFa+5nSNvTF77dqGXq9Hp9Oh1+ttO3H0aIiNRTdmDF0MBiIBFixIPZ7B0jdDhgyhUaNGWnnv3r3yAU0IUaDZHFhVqlSJkyeNa5XVrFmTr7/+mkuXLjFnzhx8fX3t3kEhRConNyca3muILjF1vtLqK6vt2obpaT3TNjuWAGUhw/UDzTk4OLBo0SK8zJ40HDt2LPtHj4bAQFi8ONt9EEKI/JCtOVaXUyajjh49ml9//RV/f39mzJjB+PHj7d5BIYSlOk3q4Lst9UPMnzF/cjXhqt2ub8qObp4lPTf5+fkxa9YsrZycnMzr48dz+/x5GDUqT/oghBD2YvNvzs6dO9O9e3cAatWqxblz5zhw4AAXL16kQ4cO9u6fECKNCi9WIHBdoFY26Aysv77ebtdPTk5GKZXtJ3xVmzYonQ7Vpo3V53Tq1InXXntNK/+dlEQ/Dw/4+ONs9UEIIfJLjj+Suru7U7t2bUqUKGGP/ggh7sOtqBshniF4XPDQ9q27to5k9YCkOlm3zpiZPSVhqLVmzZqFn5+fVl4cG8t3ktdKCFHAWJV5fciQIYwbNw4PDw+GDBmSZd2pU6fapWNCiMxVaV0F/7X+RAyMAOBy4mX2xuylgVeDvO/M4sXGW3Yff3zfOVVpmScEVUqxfPlyQkNDtdGyvn378uSTT1KxYkW7dlkIIXKLVSNWYWFh2jIVYWFhmb7Cw8Nzs69CiBSVWlfC/yd/y0ns1+w7if2+evc25qzq1g3OnzduwbjMjU5n3NqoQYMGfGx2+y82NpbXXnuN+Ph4+/RZCCFyWbaXtBH3J5nXRW6aGzKXn175iX+b/guAHj0/V/uZks4l86YDDg6pizGb2Pjr5B+djseAS0CZlHOTk5Np2rQpW7Zs0eoNHDiQ6dOn56y/QghhpTzNvC6EeDBUblOZgLUBWjmZZLtOYr8vDw/LcjbmQ5UBdClbE71ez3fffYe3d+pSPV988YWs7CCEKBCsmmP18ssvW33BNWtyYYkNIUQ6ldtUpsTIEnhc8CDWPxaAtdfW0sOnB3qdjck9beXrC3fuGEetFiywfm7VwYMwbRoMHgwhIZZrClpc3pfFixfTvHlzbd8bb7zB4cOHCQgISHtVIYR4YFg1YuXl5aW9ChcuzJYtWzh48KB2/NChQ2zZssUiyZ8QInd5V/WmWLliBKxJDTT+S/yPndE7c79x0xqABgO6bt3Q6XQWE9EzVKcO1K0Ly5aBKbXC5cvG24emhZrNNGvWjPfff18r37hxg9DQUJlvJYR4oFkVWC1YsEB7lSpVivbt2xMZGcmaNWtYs2YNZ8+e5bXXXpOUC0LkIZ1OR+U2lfH7yQ+H+NQf5ZXXVuZ+46YRpjQjTVkyX/IqMtKqUz755BOeeuoprXz+/HkGDx5sfZtCCJHHbJ5j9e233/Lee+9ZrCOm1+sZMmQI3377rV07J4TIWqXWlXC55ULpTaW1fXti9nDh3oXcbTiLkaZM1a6d+vWbb1p1irOzMytXrqSoY+qshdmzZ7N06VLr2xVCiDxkc2CVlJREREREuv0RERE5WltMCGE7v/p+uJdwJ2hFkMX+VddW5XrbHh4e6HQ63N3dUUpx3weMDx0yBmNKwdy5VrdTpkwZfpg+HfMbjb179+bYsWPZ67gQQuQimwOrN954gx49ejB58mR27tzJzp07mTx5Mj179uSNN97IjT4KITLhoHegYquKFPmrCF7HU+c4/nj9R+4a7uZq23FxcRbb+xo7llidjlE6HcWKFbOprcbvvMNYs/xWcXFxvPLKK8TExNh0HSGEyG0257EyGAxMnjyZL774QluM2dfXl4EDB/Luu+9a3CJ81EkeK5EXTm04xfKXlnOh5QXCx4Rr+0f6j6RNiTa51q6HhwdxcXG4u7sTGxt7/xOcnFBJSSQArnD/Ea40DAYDL730Er/88ou2r127dqxYseL+E+eFEMIGOfn7naMEoaZPixI0ZEwCK5EXkhOSmeI7hTuxd/j9l99J9DKuklDJrRJLKy99cIIOZ2dUYiIJgG/Roty4ccPmS9y4cYPatWtz/vx5bd+ECRMYNmyYHTsqhHjU5VuC0MKFC0vAIEQ+0zvrCW4fjD5ej/+P/tr+k3dPcjT2aD72DGjb1pjrqm1bxiQlEQtM0OmyFVQBFCtWjFWrVuHs7KztGzFiBBs3brRTh4UQImeyFVitWrWK9u3b89RTT1G7dm2LlxAi7z3e+XEAAlcFgtkzJCuursifDpmsW2ecrL5uHWOVohAw9n6D5KY1CHv3zvBwSEgIc+bM0cpKKTp27MjJkyft128hhMgmmwOrGTNm8MYbb1CyZEnCwsJ44oknKF68OGfPnrXIkiyEyDt+9f0oElgEj388KLk7da3Azbc2cyMxe6NDWTElBLXlNqOTk5PFNlPffgvJycZtJt544w369++vlWNiYmjdujXR0dFW90cIIXKDzYHVrFmzmDt3Ll999RXOzs4MHTqUTZs2MWDAAPmlJkQ+0TnoqNapGgBBK1NTLySqRNZdX5c/nTIfcfLwICEhAaUUCQkJGdc/eBA6d4aWLUGvhx49srz8lE6daFSqlFY+efIkr7/+uqR9EULkK5sDqwsXLlC/fn0A3NzcuH37NgBdunRh+fLl9u2dEMJqptuBJXeXxP2Su7Z/9bXVJKmkvO+QacRJrzeuK3g/jRoZl7vZvBmSku6b68rpyy9Zce0aAWaLQf/888+MHDkyJ70WQogcsTmw8vHx4fr16wAEBASwd+9eACIjI21+fFoIYT/ewd741PRBZ9ARsCp1/cCohCi239pu17ZMCUGz/Jnv0cOqkSeNKfiyJggDGDyYEh06sO7rr3Fzc9N2jx8/XjKzCyHyjc2B1XPPPcdPP/0EwJtvvsngwYNp3LgxHTp0oG3btnbvoBDCetU7VwcgYH0A+nupOeWWXVmW952ZO9di5MmUqd3DbITJQqVKltv7CQmBpUup2bkzCxYssDjUo0cPdu7Mg8WohRAijWwlCDUYDDimrN21YsUKdu7cSfny5enTp4/FY9CPOsljJfJazKUYpvlNAwVHhh/hfLvUfE/fVfqOYI/gfOub+UT33BjdHjVqFOPGjdPKxYsXZ9++fZQrV87ubQkhHm55msfKwcFBC6oA2rdvz4wZMxgwYABXr1619XJCCDsq/FhhAhsGAlB2eVmLY/kyamXG3d3dYqtp2BB0OuM2B8aOHUvHjh218vXr13nxxRe5efNmjq4rhBC2yFGCUJOoqCj69+9P+fLl7XE5IUQOmG4HFjpXiJK7UlMv/H7zd64m5N+Hn9jYWJRS6Ze/2b7dcptNOp2Ob7/9lnr16mn7Tp48ySuvvJL5k4hCCGFnVgdWt27donPnznh7e1O6dGlmzJiBwWBg1KhRlC1blr179/JtFnlnhBB5I/iVYPTOxvlV5qNWySSz8trK/OpWxsxTMoSGWlc/i+Shrq6urF+/nqCg1JQTW7dupW/fvvJwjRAiT1g9x+rtt9/mp59+okOHDvz6669ERETQtGlT7t27x+jRowm15pfiI0bmWIn8suKVFUSsiUCh2LZqG7eDjGlRvPRebKy+EVcH13zuYQpHR2MyUL3eONEd49PGFy5cwN/f32JNQMB4y9Aki19dx48fp379+ha59UaPHs2YMWPs2XshxEMqT+ZYbdiwgQULFjB58mR+/PFHlFJUrFiRP/74Q4IqIR4w1V833g7UoSNoaeroTXRyNBtvPEDr6mWQkuHChQsWW83Bg6lf3yfje3BwMKtWrbKYDzp27Fjm3ic3lhBC5JTVgdW///5LcLDxiaKyZcvi6upKz549c61jQojsq/hSRTx9PAEo80sZXO64aMeWX1n+4NwWS5OSAcDf399iq3njjdSvs/rdM3YseHjwwq5dzJs3z+JQ3759Wb9+fY67LYQQmbE6sDIYDBZrfOn1+szz0Qgh8pXeSU+tnrUAcLzniP8PqUHK2Xtn2Xd7X3517b7Onz+PUir9bcDTp41bV9ess7J//jnExcHnn9O9e3fGjx+vHTIYDLz22mvs2rUrF3ouhBA2BFZKKbp3787LL7/Myy+/zL179+jTp49WNr2EEA+GOr3qoHMw3jILXBmIQ3Lqj3tepV7IzmLNmRo2DNzdjdusDB1qrDd0aMppw3jnnXe0w/fu3aNly5YcP348530SQog0rA6sunXrRsmSJfHy8sLLy4vXX3+d0qVLa2XTSwjxYPDy96JCiwoAuF11o/Tm0tqxXTG7OHP3TH51zTYlShjnVH35JcTGwujRAMyZM4fAwEDmzJljWX/0aIt6Op2OL774gldeeUWrcvPmTZo1a5Z+HpcQQuSQzZnXhfXkqUCR305tOMXyl4yLo9+qfIs/l/6pHXux2It8HPhxrrZvl2zrmTwJGBgYyPnz5wkICODcuXP3vcy9e/do2rQpf/6Z+j0oX748O3bswMfHJ3t9E0I8lPI087oQouAo36w8Xv7GkeQiJ4rge9RXO/brjV+5nHA5V9u3arHm+yle3HKbYtiwYQQEBDDMdGvQ19cYhPn6khFTjqvq1atr+06fPk2TJk24ceNG9vsnhBBmJLAS4iHmoHegdu/aWjlgdoD2dTLJLP1vaX50K0MODg7odDocHNL8Wrp2zThSde2axe4+ffpw7tw5+vTpY9wRFWW5zUCRIkX4/fffLVaJOHr0KM2bN+f27dt2eR9CiEebBFZCPORq9aiFg6PxR917nzelokppx9ZeX8utpFu50m7dunXR6XTUrVvXqvqmUa1sj26Zbufd57aej48Pmzdvxs/PT9u3f/9+WrZsyd27d7PXthBCpJDASoiHXCHfQlRuUxkwJgz1m5EaUNwz3GPF1RW50u7BlISeB80Te2bBNB8rW08QHjwIzz0HBw7A5fvf3gwICGDz5s2ULJm6luL27dt55ZVXiI+Pt719IYRIIYGVEI+AOn3qaF/7bvKlRGwJrfz9le+5m2z/kRpT3jvz/HdZMRgMKKUwGAy2N9a/PyxbZtxaqWLFimzatImiRYtq+3755RfatWsnwZUQItsksBLiERDUKIhiFYoBoDPoKLe4nHYsOjmaddfX2b3NGTNmEBAQwIwZM+x+7XRMyUTTJhVNa/FiCAw0boHHH3+cX375BU9PT63Kzz//LMGVECLbJLAS4hGgc9BRp3fqqFWJxSXwSkrNO7fkyhISVaJd20w3uTw3TZwIAQHGbVZGjTIGX6NGabuefPJJNm7caLGShARXQojsksBKiEdErR61cPIw3pbTJ+iptL6SdiwqIYrfb/yeX13Lua5d4dw54zYrH39sDMA+tszf9cwzz/DLL7+kC65effVVCa6EEDaRwEqIR4RbMTdq90pNvVB8RnHcDG5aedF/izCobMxvKkiyCMCeeeYZ48iV2b6ffvqJdu3ace/evTzrohCiYJPASohHSL3B9bTUC053nAj+M1g7dubeGbbe2prnferUqROOjo506tQpz9tO69lnn2Vj9+4WwdXPP/9My5YtiY2Nzbd+CSEKDgmshHiEePl7Ua1jNa1cfEJxnJWzVp57eW6ej1otX76c/7d333FRXGsfwH+zlb60pUkVFQFRKQbBFqNi1KtRk1dsRG9yc5No4lVSLLm5xquJGqMxRsUSY8cWLBgbeI1gwYQiikJiAQQVYkFAQJZld94/CAMrRZCFWdznm89kds45M/Psru4+njl7RqVSYdeuXW163ob037wZR+PiYGRkxJWdPHkSQ4cORVFREY+REULaA0qsCNEzwZ8Ec48NHhigR1IPbvtG+Q1eeq10Tf/+/RETE6Nxj7Bz587hlVdewYOnZoAnhJDaKLEiRM/Y+tii8/DO3Lbl55aQoKbXan3e+jbttXJ2dtZY64o+ffrg1KlTsKp1j8KUlBQMGDAAeU2YhJQQop94T6zWrl0LNzc3GBgYwN/fH2fOnGm0fVxcHPz9/WFgYICOHTti3bp1ddpERUXBy8sLUqkUXl5eOHDgQLPOq1QqMXv2bPj4+MDY2BgODg548803cffu3ZY/YUJ0QJ/ZfbjH0vtS+KfVTMVws/wmThWearNYbt26BZZlcetZc1DxwN/fH3FxcbCvdWPn9PR09O3bFzdv3uQxMkKIruI1sdqzZw9mzpyJzz77DBcvXkS/fv0wbNgw5OTk1Ns+KysLw4cPR79+/XDx4kXMmzcPM2bMQFRUFNcmISEBoaGhCAsLw6VLlxAWFoZx48bh119/bfJ5y8rKkJKSgs8//xwpKSnYv38/rl27hlGjRrXuC0JIG3Hu54wOgR24bYt5FpAyUm6bj7FWTSEUCsEwDIRCYZud09vbG/Hx8XBxqbmBdWZmJoKDg5GcnNxmcRBC2geGfe47nrZcYGAg/Pz8EBERwZV5enpi9OjRWLx4cZ32s2fPRnR0NDIyMriy9957D5cuXUJCQgIAIDQ0FMXFxTh27BjX5tVXX4WFhQU3OLa55wWAxMREvPTSS7h161aTL1kUFxdDJpOhqKhIY6wGIbog40AG9o6tuU9g4e5CxHeO57aXuC3BEIshrRqDi4sLcnJy4Ozs3KQeq9r3EWzrj67c3FwMHjwY165d48pMTEywf/9+DBnSuq8TIaRtteT7m7ceq4qKCiQnJyMkJESjPCQkBOfPn693n4SEhDrthw4diqSkJCiVykbbVB/zec4LAEVFRWAYBubm5g22USgUKC4u1lgI0VUeozxg1aVm/JD5XHONXquNeRtbvdequpe4oV7qpwkEAo11W3JycsLZs2fx0ksvcWUlJSUYPnw4du7c2ebxEEJ0E2+J1YMHD6BSqWBra6tRbmtri/z8/Hr3yc/Pr7d9ZWUl90udhtpUH/N5zlteXo45c+Zg4sSJjWauixcvhkwm4xYnJ6cG2xLCN4FQoPELQWQBva/15jZvlt/EycKTrRpDcweuq1QqsCwLlUrVmmE1SC6X49SpUxg2bBhXVllZicmTJ2PZsmVt3otGCNE9vA9er921D1R17z9d9qz2T5c35ZhNPa9SqcT48eOhVquxdu3aRp4JMHfuXBQVFXFLbm5uo+0J4VuPN3vA3NWc2zb52KROr5WKbb0kpjUGrvfq1QsMw6BXr15aO2ZtxsbGOHToEKZOnapR/umnn+L999/nes8JIfqJt8TK2toaQqGwTi/RvXv36vQmVbOzs6u3vUgk4n4S3VCb6mM257xKpRLjxo1DVlYWYmNjn3mdVSqVwszMTGMhRJcJJUK8vODlmu3bQvS6UpOQZJZn4kjBkbYPrB4uLi5gGEZjEHl9kpKSNNatQSwW48cff8S8efM0ytevX48RI0bQRKKE6DHeEiuJRAJ/f3/ExsZqlMfGxiI4OLjefYKCguq0j4mJQUBAAMRicaNtqo/Z1PNWJ1XXr1/HyZMnNeayIeRF4jPJB3JvObdt9okZDFFzD8F1d9ehXM3/vfKaOh4rICBAY91aGIbBl19+iTVr1miM+ar+LMnKymrV8xNCdBTLo927d7NisZjdtGkTm56ezs6cOZM1NjZms7OzWZZl2Tlz5rBhYWFc+8zMTNbIyIidNWsWm56ezm7atIkVi8XsTz/9xLU5d+4cKxQK2SVLlrAZGRnskiVLWJFIxF64cKHJ51UqleyoUaNYR0dHNjU1lc3Ly+MWhULR5OdXVFTEAmCLiopa+lIR0qoyDmSwX+ALbpm1dhbrl+zHLZvzNvMdIuvs7MwCYJ2dnfkOpY5jx46xpqamLABukcvl7Pnz5/kOjRDyHFry/c1rYsWyLLtmzRrWxcWFlUgkrJ+fHxsXF8fVTZkyhR0wYIBG+9OnT7O+vr6sRCJhXV1d2YiIiDrH3LdvH+vh4cGKxWK2a9eubFRUVLPOm5WVpfEBWXv55ZdfmvzcKLEi7YVarWY3Bm7kEqvPjT9nByUP4hKr/qn92UfKR3yHqdPS0tK45K96kUgk7I8//sh3aISQZmrJ9zev81i96GgeK9KeZJ3KwrZB27htxSIFTgw7wW1PspmEcMdwPkJrN/Lz8/Haa6/ht99+0yj/4IMPsGLFCm7IAiFEt7XLeawIIbrF7RU3dBzckdsWzxejA1szO/ve+3txV0G3dWqMnZ0dTp8+jdDQUI3y1atXY/Dgwbh37x5PkRFC2golVoQQzitfvcI9FqgE8N3hy20rWSUi8iLq243UYmhoiF27dmHJkiUaU7jEx8cjICCAboNDyAuOEitCCKdDrw7wHOvJbTMrGXRRdOG2jxYcxe9lv7dpTAzDcEt7wTAMZs+ejSNHjkAmk3Hlubm56NOnDzZs2ECTiRLygqLEihCiYeCigRCIqj4aGDDouKCjRv2qO6soKWiiYcOGITExEV5eXlyZQqHAu+++iylTpqC0tJTH6AghrYESK0KIBrmnHIH/CuS2JSck6JbXjdv+9fGviC+Kr29XUo/OnTvjwoULGDNmjEb59u3b8dJLLyE9PZ2nyAghrYESK0JIHQPmD4Cpgym3bRduByGE3PY3t79ps0lD2appYdp1L5mpqSmioqKwfPlyiEQirjw9PR29evXCjh07eIyOEKJNlFgRQuqQmkoRsjyE2za6ZoSeZ3ty23cr7mLbn9vq2ZM/uj4Wi2EYhIeH4/Tp0+jQoebXlmVlZQgLC8Obb76J4uJiHiMkhGgDJVaEkHp5h3rDdaArt20zzwbmKnNue0v+FtxR3Gn7wNq5Pn364OLFiwgJCdEo3759O3x9fevMgUUIaV8osSKE1IthGAxfPZwbyC4uFcP7e2+uXsEqsPz2cr7Ca9fkcjmOHj2KhQsXQiisucSamZmJPn36YPHixVCpVDxGSAh5XpRYEUIaJPeSo/es3ty25XZLuD1w47bjiuJwtugsH6HV0d7GYgmFQvz73/9GfHw8XF1dufLKykrMmzcPgwYNohs5E9IOUWJFCGlU/8/7w7RD1UB2BgxcZ7pCUOuj45vb36BCXcFXeO1ecHAwUlNTMWHCBI3yuLg4dO/eHRs3bmw3ySIhhBIrQsgzSE2lGLpiKLdtmmEKz9iaSURzFbnYcY9+1dYSMpkMO3fuxLZt22BiYsKVl5SU4J///CeGDx+OO3doPBsh7QElVoSQZ/L6Py94jPLgtp0XOcOkvCYB+CHvB+SW5/IR2guDYRiEhYXh0qVL6Nevn0bd8ePH0a1bN2zbto16rwjRcZRYEUKeiWEY/G3D32BkbQQAEJeI0XlpZ65ewSqwMGch1Kyal/h69eoFhmHQq1cvXs6vTR07dsTp06exYsUKSKVSrrywsBBTpkzB8OHDcevWLR4jJIQ0hhIrQkiTmNia4G/r/8ZtOx52hN0VO247uSQZUQ+i+AgNSUlJGuv2TiAQYNasWbh48WKdZPH48ePw9vbGd999R78cJEQHUWJFCGkyz7Ge6B7WHQDAsAy8P/OGWCnm6lfdWYU8RV6bxxUQEKCxflF4enri/PnzWLRoESQSCVdeWlqKmTNnIjg4GGlpaTxGSAh5GiVWhJBmGbZqGMwczQAAxreN4fFdzdirMnUZFuYsbPNxQImJiWBZFomJiW163rYgEonw2Wef4dKlS+jbt69G3W+//QZfX198/PHHePz4MU8REkJqo8SKENIsBuYGGPXjKG7bbY8brDOsue1fH/+K6IfRfIT2TBMnToRIJMLEiRP5DqXZunbtiri4OKxduxampjX3cVSpVFi+fDm6du2KvXv30uB2QnjGsPS3sNUUFxdDJpOhqKgIZmZmfIdDiFYd/fAoEldX9RA9dn2M+N3xUImrxvyYCE2wz3MfbCQ2fIZYh0gkgkqlglAoRGVlJd/hPLfbt29j+vTpiI6um8AOHjwYq1evhoeHRz17EkKaoiXf39RjRQh5LkOWDoHcSw4AMM02RZe1Xbi6ElUJvsr5Sud6T8aNGwehUIhx48bxHUqLODo64tChQzh06BBcXFw06k6ePIlu3bohPDwchYWF/ARIiB6jxIoQ8lzERmKM2z8OEtOqQdXuO91hftWcqz9TfAb7HuzjKbr6RUZGorKyEpGRkXyHohWjRo1Ceno6PvvsM43B7ZWVlfj222/RqVMnREREtOveOULaG0qsCCHPzdrDGqO3jgYACFQC9FzQE4KKmo+Vb29/i+tl13mK7vm0tzmxjIyMsGjRIqSlpWHIkCEadQ8fPsS0adPg6+uL2NhYniIkRL9QYkUIaRHPMZ7oM6cPAMDsphm8vvPi6irYCszNnosnqid8hdds7XVOrC5duuDEiRM4dOgQOnXqpFF35coVhISEICQkBCkpKTxFSIh+oMSKENJiryx8BW6D3AAAbrvdYBtny9VllWfhm9vf8BVas7XnObEYhsGoUaNw9epVfPPNN3UG3cbGxsLf3x+TJk1CZmYmT1ES8mKjxIoQ0mICkQCv73odZo5mYMCg5397wuBPA67+4MODiCmI4THCpnsR5sSSSCT46KOPcOPGDbz77rsQCoUa9ZGRkejatStmzJiBvLy2n9CVkBcZJVaEEK0wlhtjXNQ4CCVCSAul8Pu3H1DrjiuLchbhjuIOfwHqIblcjnXr1uHKlSsYM2aMRp1SqcT333+Pjh074qOPPsK9e/d4ipKQFwslVoQQrenwUgeM2V71BW6dYo0um2qmYChVl2Ju1lwo1Aq+wtNbXbt2xf79+3H+/Pk6s7eXl5djxYoVcHNzw5w5c/Dw4UOeoiTkxUCJFSFEq7zHeWPot0MBAF1+6ALLFEuu7mrZVSzOWaxz81vpi6CgIMTHxyM6Ohrdu3fXqCsrK8PSpUvh4uKCTz75BPn5+TxFSUj7RokVIUTres/sjaCPgiBQCeD/b39ICmvmWDpccBiR916MeaTaI4ZhMHLkSFy8eBH79u2Dl5eXRn1paSm++eYbuLq6Yvr06bh16xZPkRLSPlFiRQhpFUO+HoJu47vB8E9DBHwaAKaS4epW3lmJ88XneYyOCAQCvPHGG7h8+TIiIyPRpUsXjXqFQoG1a9eiU6dOmDp1Kq5cucJTpIS0L5RYEUJaBSNg8NqW1+A60BXWydbw+dqHq1NDjblZc5Fdns1fgAQAIBQKMWHCBFy9ehWRkZHw9vbWqK+srMTWrVvh4+ODYcOG4X//+x9dyiWkEZRYEUJajUgqQuiBUNj52sE1yhWu+1y5uhJVCcJvhuNx5WP+AiQckUiECRMm4PLlyzhw4EC983gdP34cgwcPhp+fH3bs2AGFgn6IQMjTKLEihLQqA5kB3jz5Juz97dHtm26wSrLi6m4pbmFO1hwoWSWPEZLaBAIBRo8ejd9++w0nTpzAoEGD6rRJTU1FWFgYXFxc8MUXX9BcWITUQokVIaTVGVoa4s2Tb8LJzwkBswNgdMeIq7vw+ALmZ8+HmlXzGCF5GsMwCAkJwcmTJ5GcnIyJEyfWmWj0zz//xIIFC+Di4oJJkyYhISGBLhMSvUeJFSGkTRiYG2ByzGS4e7qjV3gvCEtrvqRPPDqBr3O/pi9lHeXn54edO3fi5s2bmDlzJkxNTTXqlUolIiMjERwcjJ49eyIiIgLFxcU8RUsIvxiWPslaTXFxMWQyGYqKiurcs4sQfaV4rEDk8EgkK5Lx66pfoZbU9FT9w+4feN/hfR6jI01RXFyMbdu24fvvv8e1a9fqbWNsbIyJEyfin//8J/z9/cEwTL3tCNFFLfn+psSqFVFiRUj9KkoqsPu13TjHnkPS0iSg1hWmjzp8hIm2E/kLjjSZWq1GTEwMVq1ahWPHjjXYzsfHB3//+98xefJkyOXyNoyQkOdDiZWOosSKkIapKlQ4/M/DOPzoMFLnp2rUze8wH6NsR/ETGHkumZmZ2LhxIzZt2oT79+/X20YkEmHkyJGYOnUqXn31VUgkknrbEcI3Sqx0FCVWhDSOZVnEL4rHD9d/QPrM9JoKNfCx7GNM6DyBv+DIc6moqMDBgwexfv16nDp1qsF2VlZWCA0NxeTJk9G7d2+6VEh0CiVWOooSK0Ka5vLOy1j822Jcm6I5XmdKyRTM6D+Dp6hIS924cQNbtmzB1q1bcfv27QbbdezYERMnTkRoaCi6devWhhESUj9KrHQUJVaENF12fDbmnJiD669f1ygfmj4UC8cvhFAkbGBPoutUKhVOnjyJzZs34+DBg41OLOrl5YXQ0FCEhobCw8OjDaMkpAYlVjqKEitCmqcgswCzd85GyogUjXL/X/yxfOJymNqbNrAnaS8KCwsRFRWFHTt24PTp04229fHxwdixYzF27Fj4+PjQ5ULSZiix0lGUWBHSfJWKSny+5XPE9IrRKHc/4o5/e/wb3cd15ykyom05OTnYtWsXdu7cibS0tEbburu7Y+zYsRg9ejQCAwPrTFZKiDZRYqWjKLEi5PmtOr4KW222apRZX7DGpPOTMHb5WJjYmvAUGWkNGRkZ2LNnD/bs2YPff/+90bZyuRwjRozAyJEjERISAhMT+rNAtIsSKx1FiRUhLbMnfQ+WlS0DK6j5mDK+ZYz+/+2P8bPHwzvUmy4PvWBYlkVaWhr27duHAwcO4OrVq422l0gkGDZsGKZNm4bBgwdDIKAbipCWo8RKR1FiRUjLxT+Mx5wbc6AQ1wx4Fj0WIWBuAPpa98XQb4fC0t2SxwhJa/rjjz9w4MAB7N+/H4mJiY227dy5M6ZPn44pU6bA3Ny8bQIkLyRKrHQUJVaEaEfmk0x8mPEh8pFfU6gCvFZ5ocveLgj+KBj95vWDxIQmnHyR3blzBz///DOio6Pxv//9r8FfFxoZGWHy5MmYNm0aevTo0cZRkhcBJVY6ihIrQrSnsLIQn978FMmlyRrlNmdt0HNBT8gN5Bi8dDB8JtGvx/RBaWkpYmNjsXv3bkRFRaGysrLedn369MG0adPw+uuvQyqVtnGUpL2ixEpHUWJFiHYpWSWW5S5D1IMojXLJQwn85vvBJsEGDr0cMHDhQLiHuFOCpSfy8vKwceNGrF+/Hnfv3q23jVwux9tvv4233noLnTt3buMISXtDiZWOosSKkNax/8F+fJP7DRSs5qWgjjs7wnO1J4QVQjj1ccLA/w6E2ytuPEVJ2ppSqcShQ4ewZs2aRufI6tu3L9566y383//9H/2ikNSLEisdRYkVIa0n80km5mXPw/UnmjO1m940RfevusMq1QoA4PqyK/r/pz9cX3alHiw9kp6ejoiICGzduhWPHz+ut42xsTHeeOMNTJo0CQMHDoRIJGrjKImuosRKR1FiRUjrUqgV+P7O99h1f1edOueDzvBa5QVJUdWAdjtfOwR9FATvcd4QimlySX3x+PFj7Ny5E+vXr0dqamqD7WxsbBAaGoqJEyciMDCQknA9R4mVjqLEipC2ca7oHL649QUKKgs0yiWFEnit9ILTYScwqPqiNO1gisAZgfB7xw+GFoZ8hEt4cvHiRWzevBk7duzAo0ePGmzn6urK3UonKCiI5sbSQ5RY6ShKrAhpO48qH2HVnVWIfhhdp84i1QJe33txlwcBQGQggtcbXvD9hy9c+rtQD4UeKS8vR3R0NLZs2YKYmBioVKoG29rb22PMmDEYPXo0+vfvT78s1BOUWOkoSqwIaXspj1PwVe5XyCrPqlNnc9YGnms8Ibsm0yi36mIF33/4okdYD5jY0WBmfXL//n389NNPiIyMxNmzZxtta2JigiFDhmDEiBEYPnw47O3t2yhK0tYosdJRlFgRwg+lWont97bjh7wf6vxyEAA6HO8Aj/UeMMnRTKIYAQPXl13hPd4bnmM9YWRl1FYhEx1w69Yt7N27F/v378eFCxee2d7X1xdDhgzBkCFD0LdvXxgYGLRBlKQtUGKloyixIoRfdxV3sS5vHY4WHAWLpz7q1IBdvB3ct7vDMtWSG4NVTSASwD3EHZ5veKLLiC4wtjFuw8gJ3+7cuYODBw8iKioKcXFxUKvVjbY3MDBAv379MGjQIAwYMAD+/v4Qi8VtFC3RNkqsdBQlVoTohutPriPibgTiiuLqrbe6ZgW3TW6w+8UOAlU9A5UZwLG3I7qM7AKPUR6Qe8lpTJYeefjwIU6cOIGff/4Zx48fb3TgezVjY2MEBwdjwIAB6NevHwICAmBkRD2g7QUlVjqKEitCdMulkktYfXc1UkpS6q03KzFDh+gOsN9jD5PbDY+1MnMyQ8dBHeE22A0dB3WkcVl6pLKyEhcuXMCRI0cQGxuLlJQUNOVrVCQSoWfPnggKCkJQUBB69+4NV1eaW01XUWKloyixIkQ3XSq5hB33duCXwl/qXiL8i/MdZ9jtsIP1YWuInjQ+caRNNxu4DHCBc19nOPVxgsxJ1mh78uJ48OABTp06hZMnTyI2NhbZ2dlN3tfS0hIBAQHc4u/vDycnJ0q2dAAlVjqKEitCdFtueS4i70ci+mE0ytXl9bYRs2J0ut0JltGWMP3JFJJiyTOPK3OWwbmvMzoEdoBDgAPsetpBbETjbfRBTk4O4uPjERcXh7i4OFy/fv3ZO9Vibm6OHj16oGfPnujRowe6d+8OT09PuozYxiix0lGUWBHSPhRWFuJowVEcenAIN8pvNNhOCCE6F3SGfYI9RLtFMEg3qDPovT6MkIHcSw6HXlVJlm13W9j62MLQkiYofdHl5+cjISEB58+fR0JCApKSkqBQ1P2lamMYhoGbmxu8vLzg7e0NLy8veHh4wMPDA+bm5q0TuJ6jxEpHUWJFSPvCsix+f/I7Dj04hOOPjuOxqv57zFWzVFui4+2OsIizgPAnISS3n92bVZuZoxlsfGwg95LD2tMa1l2rFprm4cVVUVGB1NRUJCUlISkpCYmJiUhPT3/mrw4bYmNjAw8PD3Tu3Bnu7u7o1KkT3N3d4e7uTklXC1BipaMosSKk/SpXlyOhOAG/FP6CuKI4lKhKnrmPNWsN53vOML9oDtExEcS/iiFUNv++hEbWRrDsbAlLd0tYuFvAwt0Clu6WMHczh4mtCRgBjcF5kZSWliI1NRWXLl3i1mlpaXjy5EmLjmthYQFXV1e4urrCxcUFrq6ucHZ2hpOTE5ycnCCXy+l2PQ2gxEpHUWJFyItBqVYisSQRvxT+gjNFZ3Bfeb9J+wkhhEOFA+R5chhfMYYgTgDpJSmkD6RNuoRY7zElQsicZZC5VC1mjmYw62AG0w6m3GNDK0MaAN3OqVQqXL9+HVevXtVYrl27BqVSqZVzSCQSdOjQAY6OjrC3t4eDgwO32NnZwdbWFra2trCystK7BIwSKx1FiRUhLx6WZZFZnolfH/+KC8UXkFKSgifq5vUsGKoNIX8sh9ldM0gzpBBcFkB6Swqju0aQPpSCYVuWFAnEApjYmsDY1hgmdiYwsTOBkdwIxnJjjbWRlREMLQ0hMZVQItZOKJVKZGVl4Y8//tBYbt68ibt377bKOYVCIeRyOWxsbCCXyzUWa2trWFpawsrKSmNtYmLSrv9MtevEau3atVi2bBny8vLg7e2NlStXol+/fg22j4uLQ3h4OK5evQoHBwd8+umneO+99zTaREVF4fPPP8fNmzfh7u6OL7/8EmPGjGnWeVmWxYIFC7BhwwY8evQIgYGBWLNmDby9vZv83CixIuTFp1QrkV6Wjsull3G59DIulVzCw8qHz308kVoEWbEMhvcNIbkrgSBbAIN7BjC4bwBpgRSSRxJIC6QQPxa3OAGrJhAJYGhpCENLQxhYGMDAvGaRyqQwkBlAaiaFVCatWptJITWVQmIi4RaxsRgCoX71auiasrIyZGZm4ubNm7h58yays7M1lsePGx8zqE1CoRDm5uawsLCAhYUFzM3NIZPJYGZmBplMxj02NTXl1tWLiYkJtxgZGfGSoLXbxGrPnj0ICwvD2rVr0adPH6xfvx4//PAD0tPT4ezsXKd9VlYWunXrhnfeeQfvvvsuzp07h2nTpmHXrl14/fXXAQAJCQno168fFi5ciDFjxuDAgQP4z3/+g7NnzyIwMLDJ5126dCm+/PJLbNmyBV26dMGiRYsQHx+PP/74A6ampk16fpRYEaJ/WJZFXkUerpRewbUn17ilqZcPm4pRMZAWSyF+JIa4uNbyWAxxiRiiUhFEJSKIS8UQlYkgLBNC9EQE4ZOatVAhhEAheO7Lkk8TGYggNhZDYiypWRuJITYSQ2QogthQDJHRX2sDUdViKKp5LBVBKBVqriVCCKVCCCW1tiVCCMQC7rFQLIRAJIBALGjXvSStiWVZPHr0CLm5ubh9+7bG+u7du9xSWFjId6gaGIaBkZERjIyMYGxszK0NDQ1hZGSksTY0NISBgQG3rl6kUimkUqnGY6lUColEovFYIpFALBZDIpGgvLwcjo6O7S+xCgwMhJ+fHyIiIrgyT09PjB49GosXL67Tfvbs2YiOjkZGRgZX9t577+HSpUtISEgAAISGhqK4uBjHjh3j2rz66quwsLDArl27mnRelmXh4OCAmTNnYvbs2QAAhUIBW1tbLF26FO+++26Tnh8lVoSQagXKAlx/ch23FLeQXZ6NW+W3kK3IRn5FPt+hQVAuqEqyKv5aKwUQVAg015VVa6aSgaBSc82oGAhUAjAqpmZR11qrGUCNmjK2ZhvsX+VszWOwqHpc3Q5P1f2leh9uQdWNtIUCIQRCARghA4FAUPVYUOvxX+WMgOEeQwCuHcMw3GMwqGn7Vx0j/Gv9V331scEAAqbqWE/XV8fGMEzVuar+V1Ve3RY1bav3Y1B1jOqFYRgueWSYWnW1tjXqUVPPxVfbU/srlUqUlpbWXcpKUVZWhtLSUpQ9KUNZWdVSn/om3W1oIt6m1jdFc47xrLYqlQo3km881/d349MJt6KKigokJydjzpw5GuUhISE4f/58vfskJCQgJCREo2zo0KHYtGkTlEolxGIxEhISMGvWrDptVq5c2eTzZmVlIT8/X+NcUqkUAwYMwPnz5xtMrBQKhcb8JMXFxY28AoQQbYqaOxfCVaugmjEDr9fzDzM+1Y5t3FOxKdQK5FXk4W7FXeQp/lpX5OG+8j7uK+/jXsU9KNjmzXvUXGoDNdQGz/dzf6K/JGje9CLtiapEBQx4vn15S6wePHgAlUoFW1tbjXJbW1vk59f/L7j8/Px621dWVuLBgwewt7dvsE31MZty3up1fW1u3brV4HNavHgxFixY0GA9IaT1CFetwoiyMhxZtQrQscSqsdikAilcDVzhauBa774sy6JEXYIHFQ9QUFmAR5WPUFBZgMLKQhQoC1CsKsZj1WMUVxajWFW1lKnKUMFWtMEzI4Q8jbfEqtrT18NZlm30Gnl97Z8ub8oxtdWmtrlz5yI8PJzbLi4uhpOTU4PtCSHao5oxA0f+6hXSNS2JjWEYmApNYWpoCje4NXm/CnUFStWlKFWVokRVgifqJ3iifoJyVTn3WKFWQMEqUK4uR4W6AgpWAYVaASWrRIW6omrNVkCpVqKSrYSSrVpXLyqoqtZs1VrNqqGCCgrFE6hVSqjFQkCgncs8hLQXvCVW1tbWEAqFdXqn7t27V6enqJqdnV297UUiEaysrBptU33MppzXzs4OQFXPlb29fZNiA8ANgiOEtL3XFy/WuZ6qanzEJhFIIBFIYCGyaNPz1odlWaih5hIvFixXxrKsRhmLmnLuv9rl1UkaC9Rq8VcRy5Vz24BGm+p9a9drxNqCsua8Hg3WVT8HlgWrrnmuXBlbU8+ta3bWqHv6eFwZq3ncp8tqv8ZcXe3T1BO/xjEbKdN4nrXjbuC49b7MTXzpmzWE/KmmJSjBCIxo+v618JZYSSQS+Pv7IzY2VmMqhNjYWLz22mv17hMUFITDhw9rlMXExCAgIABisZhrExsbqzHOKiYmBsHBwU0+r5ubG+zs7BAbGwtfX18AVWOz4uLisHTpUi08e0II0R8Mw0AIIYSMEGLQzaiJ7mvRGGmWR7t372bFYjG7adMmNj09nZ05cyZrbGzMZmdnsyzLsnPmzGHDwsK49pmZmayRkRE7a9YsNj09nd20aRMrFovZn376iWtz7tw5VigUskuWLGEzMjLYJUuWsCKRiL1w4UKTz8uyLLtkyRJWJpOx+/fvZ9PS0tgJEyaw9vb2bHFxcZOfX1FREQuALSoqasnLRAghhJA21JLvb14TK5Zl2TVr1rAuLi6sRCJh/fz82Li4OK5uypQp7IABAzTanz59mvX19WUlEgnr6urKRkRE1Dnmvn37WA8PD1YsFrNdu3Zlo6KimnVelmVZtVrNzp8/n7Wzs2OlUinbv39/Ni0trVnPjRIrQgghpP1pyfc37zOvv8hoHitCCCGk/WnJ9zfdf4AQQgghREsosSKEEEII0RJKrAghhBBCtIQSK0IIIYQQLaHEihBCCCFESyixIoQQQgjREkqsCCGEEEK0hBIrQgghhBAtocSKEEIIIURLeLsJsz6ontS+RTdzJIQQQkibqv7efp6b01Bi1YoePnwIAHBycuI5EkIIIYQ018OHDyGTyZq1DyVWrcjS0hIAkJOT0+w3hmhXcXExnJyckJubS/dt5Bm9F7qF3g/dQe+F7igqKoKzszP3Pd4clFi1IoGgagibTCajvyQ6wszMjN4LHUHvhW6h90N30HuhO6q/x5u1TyvEQQghhBCilyixIoQQQgjREkqsWpFUKsX8+fMhlUr5DkXv0XuhO+i90C30fugOei90R0veC4Z9nt8SEkIIIYSQOqjHihBCCCFESyixIoQQQgjREkqsCCGEEEK0hBIrQgghhBAtocSqlaxduxZubm4wMDCAv78/zpw5w3dIeik+Ph4jR46Eg4MDGIbBwYMH+Q5Jby1evBi9evWCqakpbGxsMHr0aPzxxx98h6WXIiIi0L17d24iyqCgIBw7dozvsAiq/p4wDIOZM2fyHYpe+uKLL8AwjMZiZ2fXrGNQYtUK9uzZg5kzZ+Kzzz7DxYsX0a9fPwwbNgw5OTl8h6Z3SktL0aNHD6xevZrvUPReXFwcpk+fjgsXLiA2NhaVlZUICQlBaWkp36HpHUdHRyxZsgRJSUlISkrCK6+8gtdeew1Xr17lOzS9lpiYiA0bNqB79+58h6LXvL29kZeXxy1paWnN2p+mW2gFgYGB8PPzQ0REBFfm6emJ0aNHY/HixTxGpt8YhsGBAwcwevRovkMhAO7fvw8bGxvExcWhf//+fIej9ywtLbFs2TK8/fbbfIeil0pKSuDn54e1a9di0aJF6NmzJ1auXMl3WHrniy++wMGDB5Gamvrcx6AeKy2rqKhAcnIyQkJCNMpDQkJw/vx5nqIiRPcUFRUBwHPd5JRoj0qlwu7du1FaWoqgoCC+w9Fb06dPx4gRIzB48GC+Q9F7169fh4ODA9zc3DB+/HhkZmY2a3+6CbOWPXjwACqVCra2thrltra2yM/P5ykqQnQLy7IIDw9H37590a1bN77D0UtpaWkICgpCeXk5TExMcODAAXh5efEdll7avXs3UlJSkJiYyHcoei8wMBDbtm1Dly5d8Oeff2LRokUIDg7G1atXYWVl1aRjUGLVShiG0dhmWbZOGSH66oMPPsDly5dx9uxZvkPRWx4eHkhNTUVhYSGioqIwZcoUxMXFUXLVxnJzc/Gvf/0LMTExMDAw4DscvTds2DDusY+PD4KCguDu7o6tW7ciPDy8ScegxErLrK2tIRQK6/RO3bt3r04vFiH66MMPP0R0dDTi4+Ph6OjIdzh6SyKRoFOnTgCAgIAAJCYm4rvvvsP69et5jky/JCcn4969e/D39+fKVCoV4uPjsXr1aigUCgiFQh4j1G/Gxsbw8fHB9evXm7wPjbHSMolEAn9/f8TGxmqUx8bGIjg4mKeoCOEfy7L44IMPsH//fpw6dQpubm58h0RqYVkWCoWC7zD0zqBBg5CWlobU1FRuCQgIwKRJk5CamkpJFc8UCgUyMjJgb2/f5H2ox6oVhIeHIywsDAEBAQgKCsKGDRuQk5OD9957j+/Q9E5JSQlu3LjBbWdlZSE1NRWWlpZwdnbmMTL9M336dERGRuLQoUMwNTXlenVlMhkMDQ15jk6/zJs3D8OGDYOTkxMeP36M3bt34/Tp0zh+/DjfoekdU1PTOuMMjY2NYWVlReMPefDxxx9j5MiRcHZ2xr1797Bo0SIUFxdjypQpTT4GJVatIDQ0FA8fPsR///tf5OXloVu3bjh69ChcXFz4Dk3vJCUlYeDAgdx29TXyKVOmYMuWLTxFpZ+qpx95+eWXNco3b96MqVOntn1AeuzPP/9EWFgY8vLyIJPJ0L17dxw/fhxDhgzhOzRCeHX79m1MmDABDx48gFwuR+/evXHhwoVmfX/TPFaEEEIIIVpCY6wIIYQQQrSEEitCCCGEEC2hxIoQQgghREsosSKEEEII0RJKrAghhBBCtIQSK0IIIYQQLaHEihBCdFBZWRnGjh0LBwcHzJ8/n+9wCCFNRIkVIYTooK1bt0IikSA6Ohq7d+9GRkYG3yERQpqAEitCCPnL1KlTMXr0aG775ZdfxsyZM1v1nBUVFejUqRPOnTunUS6TyWBjY4POnTvDwsICMplMo/7jjz/GjBkzWjU2QkjzUWJFCGlXpk6dCoZhwDAMRCIRnJ2d8f777+PRo0daP9f+/fuxcOFCrR+3tg0bNsDFxQV9+vTRKB8/fjx++eUXWFpaolevXnBwcNCo//TTT7F582ZkZWW1anyEkOahxIoQ0u68+uqryMvLQ3Z2Nn744QccPnwY06ZN0/p5LC0tYWpqqvXj1vb999/jH//4R53ygoICXLt2DZ988kmd3iwAsLGxQUhICNatW9eq8RFCmocSK0JIuyOVSmFnZwdHR0eEhIQgNDQUMTExXL1KpcLbb78NNzc3GBoawsPDA999953GMVQqFcLDw2Fubg4rKyt8+umnePrWqU9fCmQYBgcPHtRoY25uzt3Qu6KiAh988AHs7e1hYGAAV1dXLF68uMHnkZKSghs3bmDEiBF16nbs2AE/Pz/MnTsX6enpuHTpUp02o0aNwq5duxo8PiGk7VFiRQhp1zIzM3H8+HGIxWKuTK1Ww9HREXv37kV6ejr+85//YN68edi7dy/XZvny5fjxxx+xadMmnD17FgUFBThw4ECLYlm1ahWio6Oxd+9e/PHHH9ixYwdcXV0bbB8fH48uXbrAzMysTt3mzZsxefJkyGQy/O1vf8PmzZvrtHnppZeQm5uLW7dutShuQoj2iPgOgBBCmuvnn3+GiYkJVCoVysvLAQArVqzg6sViMRYsWMBtu7m54fz589i7dy/GjRsHAFi5ciXmzp2L119/HQCwbt06nDhxokVx5eTkoHPnzujbty8YhoGLi0uj7bOzs+uMnQKqerIyMjIQGhoKAJg8eTLeeecdLFu2TCOB7NChA3ecZ52LENI2qMeKENLuDBw4EKmpqfj111/x4YcfYujQofjwww812qxbtw4BAQGQy+UwMTHBxo0bkZOTAwAoKipCXl4egoKCuPYikQgBAQEtimvq1KlITU2Fh4cHZsyYoXF5sj5PnjyBgYFBnfLNmzdj6NChsLa2BgAMHz4carUahw8f1mhnaGgIoGrOK0KIbqDEihDS7hgbG6NTp07o3r07Vq1aBYVCodFDtXfvXsyaNQtvvfUWYmJikJqair///e+oqKho0XkZhqkzDkupVHKP/fz8kJWVhYULF+LJkycYN24c3njjjQaPZ21tXefXjBUVFYiMjMSRI0cgEokgEolgZGSEgoKCOpcDCwoKAAByubxFz4sQoj10KZAQ0u7Nnz8fw4YNw/vvvw8HBwecOXMGwcHBGr8UvHnzJvdYJpPB3t4eFy5cQP/+/QEAlZWVSE5Ohp+fX4PnkcvlyMvL47avX79ep7fIzMwMoaGhCA0NxRtvvIFXX30VBQUFsLS0rHM8X19fREREgGVZMAwDADh06BAqKipw8eJFCIVCru3vv/+O8ePHIz8/H3Z2dgCAK1euQCwWw9vbuzkvFyGkFVFiRQhp915++WV4e3vjq6++wurVq9GpUyds27YNJ06cgJubG7Zv347ExES4ublx+/zrX//CkiVL0LlzZ3h6emLFihUoLCxs9DyvvPIKVq9ejd69e0OtVmP27NkaY56+/fZb2Nvbo2fPnhAIBNi3bx/s7Oxgbm5e7/EGDhyI0tJSXL16Fd26dQNQdRlwxIgR6NGjh0Zbb29v2NnZYfv27fjkk08AAGfOnEG/fv24S4KEEP7RpUBCyAshPDwcGzduRG5uLt577z2MHTsWoaGhCAwMxMOHD+vMc/XRRx/hzTffxNSpUxEUFARTU1OMGTOm0XMsX74cTk5O6N+/PyZOnIiPP/4YRkZGXL2JiQmWLl2KgIAA9OrVC9nZ2Th69CgEgvo/aq2srDB27Fjs3LkTAHD37l3ExMRwA+prYxgGY8eO1bgcuGvXLrzzzjtNfo0IIa2PYZ8eMEAIIaTNpKWlYfDgwbhx40azJiM9cuQIPvnkE1y+fBkiEV18IERXUI8VIYTwyMfHB19//TWys7ObtV9paSk2b95MSRUhOoZ6rAghhBBCtIR6rAghhBBCtIQSK0IIIYQQLaHEihBCCCFESyixIoQQQgjREkqsCCGEEEK0hBIrQgghhBAtocSKEEIIIURLKLEihBBCCNESSqwIIYQQQrSEEitCCCGEEC35f+T2Eo2KUV+fAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orbital radius [1.12390786 1.34861087 1.34861087 1.34861087 0.15434666 0.15434666\n",
      " 0.15434666 0.49360036 0.44966154 0.44966154 0.49360036 0.44966154\n",
      " 1.26091136]\n",
      "[0, 1, 2, 3, 1, 2, 3, 4, 5, 6, 7, 8, 0]\n",
      "[[ 2.25613733e+00  1.33291832e+00  1.55235923e-01  2.30581028e+00\n",
      "  -1.07895741e+00  1.92087499e+00  2.84099405e-02  2.53563941e+00\n",
      "   0.00000000e+00]\n",
      " [ 8.05751243e-01  1.17660921e+00  3.97293763e-01  1.25857310e+00\n",
      "  -3.13748023e-01  1.46893445e+00  1.11956935e-01  1.26941238e+00\n",
      "   1.00000000e+00]\n",
      " [ 8.05751243e-01  1.17660921e+00  3.97293763e-01  1.25857310e+00\n",
      "  -3.13748023e-01  1.46893445e+00  1.11956935e-01  1.26941238e+00\n",
      "   1.00000000e+00]\n",
      " [ 8.05751243e-01  1.17660921e+00  3.97293763e-01  1.25857310e+00\n",
      "  -3.13748023e-01  1.46893445e+00  1.11956935e-01  1.26941238e+00\n",
      "   1.00000000e+00]\n",
      " [ 5.02361631e-02  2.13367319e+00  1.14121769e-01  2.61725916e+00\n",
      "  -4.34497041e-03  3.93310414e+00  1.81615940e-03  2.36536997e+00\n",
      "   1.00000000e+00]\n",
      " [ 5.02361631e-02  2.13367319e+00  1.14121769e-01  2.61725916e+00\n",
      "  -4.34497041e-03  3.93310414e+00  1.81615940e-03  2.36536997e+00\n",
      "   1.00000000e+00]\n",
      " [ 5.02361631e-02  2.13367319e+00  1.14121769e-01  2.61725916e+00\n",
      "  -4.34497041e-03  3.93310414e+00  1.81615940e-03  2.36536997e+00\n",
      "   1.00000000e+00]\n",
      " [ 1.94488510e-01  1.22829902e+00  3.02312043e-02  2.38561514e+00\n",
      "  -1.42642392e-04  3.97690866e+00  1.47355333e-03  2.39232757e+00\n",
      "   2.00000000e+00]\n",
      " [ 1.76860221e-01  1.22780150e+00  3.27426658e-02  2.38152988e+00\n",
      "  -1.12575173e-04  4.09301449e+00  3.55813198e-04  2.34792035e+00\n",
      "   2.00000000e+00]\n",
      " [ 1.76860221e-01  1.22780150e+00  3.27426658e-02  2.38152988e+00\n",
      "  -1.12575173e-04  4.09301449e+00  3.55813198e-04  2.34792035e+00\n",
      "   2.00000000e+00]\n",
      " [ 1.94488510e-01  1.22829902e+00  3.02312043e-02  2.38561514e+00\n",
      "  -1.42642392e-04  3.97690866e+00  1.47355333e-03  2.39232757e+00\n",
      "   2.00000000e+00]\n",
      " [ 1.76860221e-01  1.22780150e+00  3.27426658e-02  2.38152988e+00\n",
      "  -1.12575173e-04  4.09301449e+00  3.55813198e-04  2.34792035e+00\n",
      "   2.00000000e+00]\n",
      " [ 2.85915347e+00  1.27574576e+00  8.99753812e-02  2.40872947e+00\n",
      "  -1.58403334e+00  1.71331287e+00  3.63679901e-02  2.44805045e+00\n",
      "   0.00000000e+00]]\n",
      "[1.12390786 1.34861087 1.34861087 1.34861087 0.15434666 0.15434666\n",
      " 0.15434666 0.49360036 0.44966154 0.44966154 0.49360036 0.44966154\n",
      " 1.26091136]\n",
      "elapsed time for fitting orbs: 13.104129791259766\n",
      "\n",
      "getting ae overlaps\n",
      "--------------------------------------------------------\n",
      "--------------------------------------------------------\n",
      "\n",
      "projected orbital on wavefunctions\n",
      "--------------------------------------------------------\n",
      "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n",
      "avg spill per band: [-0.02101699 -0.02087283 -0.02083912  0.01072817  0.00366944 -0.00523019\n",
      " -0.00770499 -0.00910145  0.00408075  0.03702624  0.22043297  0.17851934\n",
      "  0.4704411   0.69491489  0.71376199  0.85536167  0.93908011  0.92566334\n",
      "  0.95511914  0.97495981]\n",
      "avg avg spill 0.06462557144605835\n",
      "\n",
      "elapsed time for projecting orbs: 1.2542154788970947\n",
      "\n",
      "0.09090909 0.09090909 0.09090909\n",
      "min divides 0.09090909 0.09090909 0.09090909\n",
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      "[9.09090900e-02 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 2.77555756e-17] [0.00000000e+00 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 2.77555756e-17 0.00000000e+00] [0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00]\n",
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      "[9.09090900e-02 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 2.77555756e-17] [0.00000000e+00 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 2.77555756e-17 0.00000000e+00] [0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
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      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 0.00000000e+00 0.00000000e+00 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 0.00000000e+00 0.00000000e+00 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 9.09090900e-02 2.77555756e-17 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 9.09090900e-02 2.77555756e-17 0.00000000e+00\n",
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      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 0.00000000e+00 0.00000000e+00 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
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      " 9.09090900e-02 0.00000000e+00 0.00000000e+00 2.77555756e-17\n",
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      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
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      " 9.09090900e-02 0.00000000e+00 0.00000000e+00 2.77555756e-17\n",
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      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [9.09090900e-02 9.09090900e-02 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 2.77555756e-17 2.77555756e-17] [9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17]\n",
      "[0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 0.00000000e+00 0.00000000e+00] [9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17]\n",
      "[9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [0.00000000e+00 0.00000000e+00 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 0.00000000e+00 0.00000000e+00] [9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17]\n",
      "[9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17]\n",
      "[0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0.] [0. 0. 0. 0. 0. 0. 0. 0.]\n",
      "[9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 2.77555756e-17 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] [0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]\n",
      "[9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [9.09090900e-02 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 0.00000000e+00 0.00000000e+00\n",
      " 0.00000000e+00 0.00000000e+00 2.77555756e-17 2.77555756e-17] [0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 0.00000000e+00 0.00000000e+00 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 0.00000000e+00 0.00000000e+00]\n",
      "[9.09090900e-02 9.09090900e-02 9.09090900e-02 9.09090900e-02\n",
      " 2.77555756e-17 2.77555756e-17 2.77555756e-17 2.77555756e-17] [9.09090900e-02 9.09090900e-02 2.77555756e-17 2.77555756e-17\n",
      " 9.09090900e-02 9.09090900e-02 2.77555756e-17 2.77555756e-17] [9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17\n",
      " 9.09090900e-02 2.77555756e-17 9.09090900e-02 2.77555756e-17]\n",
      "num kpts reconstructed after time symmetry: 1331\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial/COGITOmain.py:3669: RuntimeWarning: invalid value encountered in scalar power\n",
      "  kdep_Aij[:, j] = kdep_Dij[:, j] / (eigenvalj[j]) ** (1 / 2)\n",
      "/global/u2/e/emilolip/COGITO/COGITO_tutorial/COGITOmain.py:3669: RuntimeWarning: invalid value encountered in divide\n",
      "  kdep_Aij[:, j] = kdep_Dij[:, j] / (eigenvalj[j]) ** (1 / 2)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1331\n",
      "[[ 0.          0.          0.        ]\n",
      " [-0.09090909 -0.         -0.        ]\n",
      " [ 0.         -0.09090909 -0.        ]\n",
      " ...\n",
      " [ 0.45454545 -0.45454545  0.45454545]\n",
      " [ 0.45454545  0.45454545 -0.45454545]\n",
      " [ 0.45454545  0.45454545  0.45454545]]\n",
      "1331\n",
      "elapsed time for optimize and symmetry: 0.6960535049438477\n",
      "\n",
      "[0, 1, 2, 3, 12, 4, 5, 6, 7, 8, 9, 10, 11]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/homes/e/emilolip/.conda/envs/COGITO/lib/python3.11/site-packages/matplotlib/cbook.py:1699: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return math.isfinite(val)\n",
      "/global/homes/e/emilolip/.conda/envs/COGITO/lib/python3.11/site-packages/matplotlib/lines.py:1265: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  sz = float(sz)\n",
      "/global/homes/e/emilolip/.conda/envs/COGITO/lib/python3.11/site-packages/matplotlib/cbook.py:1345: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return np.asarray(x, float)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "showing plot\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "kpoint grid, now numtrans: [13 13 13]\n",
      "cutoff for params! 11.0 11.0 11.0\n",
      "elapsed time for calculating hams: 34.48752975463867\n",
      "finished!\n",
      "\n",
      "elapsed time for initialization: 3.8728363513946533\n",
      "elapsed time for converged orbs: 1.3933160305023193\n",
      "elapsed time for fitting orbs: 13.104129791259766\n",
      "elapsed time for projecting orbs: 1.2542154788970947\n",
      "elapsed time for optimize and symmetry: 0.6960535049438477\n",
      "elapsed time for calculating hams: 34.48752975463867\n",
      "total time: 54.80808091163635\n",
      "initializing COGITO\n",
      "check elems: ['Al', 'Cu'] ['5', '5'] ['Al' 'Al' 'Al' 'Al' 'Al' 'Cu' 'Cu' 'Cu' 'Cu' 'Cu'] 10\n",
      "check: ['Al']\n",
      "check: ['Cu', 'pv']\n",
      "getting wavecar\n",
      "setting up intitial orbitals\n",
      "got POT info\n",
      "elapsed time for initialization: 8.179879426956177\n",
      "\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 1.7091140877162576\n",
      "3 2.0125349576639504\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 1.7091140877162576\n",
      "3 2.0125349576639504\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 1.7091140877162576\n",
      "3 2.0125349576639504\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 2.050936905259509\n",
      "3 2.0125349576639504\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 2.050936905259509\n",
      "3 2.0125349576639504\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328583\n",
      "5 1.3095214015206398\n",
      "6 1.170465726226486\n",
      "7 1.0254684526297544\n",
      "8 1.1316151342564775\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328583\n",
      "5 1.3095214015206396\n",
      "6 1.170465726226486\n",
      "7 1.0254684526297533\n",
      "8 1.1316151342564775\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328577\n",
      "5 1.3095214015206398\n",
      "6 1.170465726226486\n",
      "7 1.0254684526297533\n",
      "8 1.1316151342564775\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328583\n",
      "5 1.3095214015206398\n",
      "6 1.170465726226486\n",
      "7 1.0254684526297544\n",
      "8 1.1316151342564778\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328577\n",
      "5 1.3095214015206398\n",
      "6 1.1704657262264855\n",
      "7 1.0254684526297544\n",
      "8 1.1316151342564778\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 1.7091140877162576\n",
      "3 2.0125349576639504\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 1.7091140877162576\n",
      "3 1.8209789439160682\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 1.7091140877162576\n",
      "3 1.8209789439160682\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 2.050936905259509\n",
      "3 2.0125349576639504\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 2.050936905259509\n",
      "3 2.0125349576639504\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328577\n",
      "5 1.3095214015206398\n",
      "6 1.1704657262264855\n",
      "7 1.3672912701730058\n",
      "8 1.1316151342564778\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328583\n",
      "5 1.3095214015206396\n",
      "6 1.170465726226486\n",
      "7 1.3672912701730042\n",
      "8 1.1316151342564775\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328577\n",
      "5 1.3095214015206396\n",
      "6 1.170465726226486\n",
      "7 1.3672912701730042\n",
      "8 1.1316151342564775\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328583\n",
      "5 1.3095214015206398\n",
      "6 1.170465726226486\n",
      "7 1.3672912701730058\n",
      "8 1.1316151342564775\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328577\n",
      "5 1.3095214015206396\n",
      "6 1.170465726226486\n",
      "7 1.3672912701730058\n",
      "8 1.1316151342564775\n",
      "0 2.0\n",
      "0 2.0\n",
      "1 1.8882837845587521\n",
      "2 1.8535574685133909\n",
      "3 1.8209789439160682\n",
      "0 2.0\n",
      "1 2.207100025173566\n",
      "2 1.7091140877162576\n",
      "3 1.8209789439160682\n",
      "0 2.0\n",
      "1 2.207100025173566\n",
      "2 1.7091140877162576\n",
      "3 1.8209789439160682\n",
      "0 2.0\n",
      "1 1.9097431005610652\n",
      "2 2.050936905259509\n",
      "3 1.6810122148757134\n",
      "0 2.0\n",
      "1 1.9097431005610652\n",
      "2 2.050936905259509\n",
      "3 1.6810122148757134\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328583\n",
      "5 1.3095214015206398\n",
      "6 1.1704657262264855\n",
      "7 1.3672912701730042\n",
      "8 1.1316151342564778\n",
      "0 2.0\n",
      "1 0.6464152454918343\n",
      "2 0.6836456350865029\n",
      "3 0.6804857504465822\n",
      "4 1.2634079583328577\n",
      "5 1.3095214015206398\n",
      "6 1.170465726226486\n",
      "7 1.3672912701730042\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from COGITO_tutorial.COGITOmain import COGITO\n",
    "import numpy as np\n",
    "\n",
    "# initialize COGITO with a directory which contains the VASP output files\n",
    "# requires POSCAR, POTCAR, WAVECAR, OUTCAR, and vasprun.xml\n",
    "from os.path import exists\n",
    "\n",
    "\n",
    "dir_file = open(\"VASP/directories.txt\")\n",
    "directs = dir_file.readlines()\n",
    "print(directs)\n",
    "converg_radchange = []\n",
    "converg_nrmschange = []\n",
    "direct_radchange = []\n",
    "direct_nrmschange = []\n",
    "for direct in directs[5:]:\n",
    "    direct = \"VASP/\"+ direct.strip() +\"/static/\"\n",
    "\n",
    "    #direct = \"VASP/Ti2Ag1_979115/static/\"\n",
    "    COGITOmodel = COGITO(direct)\n",
    "    # do full algorithm and generate input files for TB model\n",
    "    COGITOmodel.generate_TBmodel(irreducible_grid=True,verbose=0,plot_orbs=True,plot_projBS=True,orbfactor=1.,num_steps=50)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "48681036-d93d-4ff4-bcea-7b87fb811695",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.1932 0.0425 0.1164 0.1225 0.2179 0.0718 0.0724 0.0732] [0.0032 0.0024 0.004  0.0045 0.1412 0.0554 0.0006 0.0008]\n",
      "[0.0061 0.0051 0.0117 0.0194 0.0661 0.0426 0.0044 0.0043] [0.0067 0.0053 0.0135 0.021  0.1015 0.0703 0.0063 0.0061]\n",
      "averages: 0.11373645739263799 0.026511347855370897 0.028845013038233933\n",
      "[0.2545 0.1341 0.1361 0.1432 0.2404 0.1271 0.1224 0.123 ] [0.0991 0.0649 0.0903 0.0897 0.1666 0.1166 0.165  0.1655]\n",
      "[0.0322 0.0081 0.0221 0.0188 0.0715 0.0721 0.0199 0.0365] [0.0377 0.0087 0.0254 0.0204 0.1123 0.1267 0.0289 0.0521]\n",
      "averages: 0.16011358134363868 0.11971302345901712 0.0515314798892353\n"
     ]
    }
   ],
   "source": [
    "# load in old data\n",
    "import numpy as np\n",
    "direct = \"../VASP/B1N1_685145/static/\"\n",
    "PbO_convergenrms = np.load(direct+\"converg_orbnrms.npy\")\n",
    "PbO_convergerad = np.load(direct+\"converg_rad.npy\")\n",
    "PbO_directnrms = np.load(direct+\"direct_orbnrms.npy\")\n",
    "PbO_directrad = np.load(direct+\"direct_rad.npy\")\n",
    "Si_convergenrms = np.load(\"Si_convergenrms.npy\")\n",
    "Si_convergerad = np.load(\"Si_convergerad.npy\")\n",
    "Si_directnrms = np.load(\"Si_directnrms.npy\")\n",
    "Si_directrad = np.load(\"Si_directrad.npy\")\n",
    "\n",
    "# converge\n",
    "#PbO_directnrms = allnrms\n",
    "#PbO_directrad = allradius\n",
    "#PbO_convergenrms[7:] = allnrms[7:]\n",
    "#PbO_convergerad[7:] = allradius[7:]\n",
    "#np.save(\"PbO_directnrms\",PbO_directnrms)\n",
    "#np.save(\"PbO_directrad\",PbO_directrad)\n",
    "currentrad = PbO_convergerad\n",
    "currentnrms = PbO_convergenrms[:,:len(currentrad[0])]\n",
    "#print(currentnrms)\n",
    "mid = int(len(currentnrms)/2)\n",
    "best_nrms = currentnrms[mid]\n",
    "best_radius = currentrad[mid]\n",
    "min_rad = np.amin(currentrad,axis=0)\n",
    "max_rad = np.amax(currentrad,axis=0)\n",
    "min_nrms = np.amin(currentnrms,axis=0)\n",
    "max_nrms = np.amax(currentnrms,axis=0)\n",
    "avg_nrms = np.average(currentnrms,axis=0)\n",
    "change_rad = max_rad-min_rad\n",
    "change_nrms = max_nrms-min_nrms\n",
    "per_changerad = change_rad/best_radius\n",
    "#print(currentnrms,currentrad)\n",
    "print(avg_nrms,change_nrms)\n",
    "print(change_rad,per_changerad)\n",
    "print(\"averages:\",np.average(avg_nrms),np.average(change_nrms),np.average(per_changerad))\n",
    "\n",
    "# direct\n",
    "currentrad = PbO_directrad\n",
    "currentnrms = PbO_directnrms[:,:len(currentrad[0])]\n",
    "#print(currentnrms)\n",
    "best_nrms = currentnrms[mid]\n",
    "best_radius = currentrad[mid]\n",
    "min_rad = np.amin(currentrad,axis=0)\n",
    "max_rad = np.amax(currentrad,axis=0)\n",
    "min_nrms = np.amin(currentnrms,axis=0)\n",
    "max_nrms = np.amax(currentnrms,axis=0)\n",
    "avg_nrms = np.average(currentnrms,axis=0)\n",
    "change_rad = max_rad-min_rad\n",
    "change_nrms = max_nrms-min_nrms\n",
    "per_changerad = change_rad/best_radius\n",
    "#print(currentnrms,currentrad)\n",
    "print(avg_nrms,change_nrms)\n",
    "print(change_rad,per_changerad)\n",
    "print(\"averages:\",np.average(avg_nrms),np.average(change_nrms),np.average(per_changerad))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16ec844b-1c0c-4449-b5ef-be5af291d97b",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Step 3: Verify quality of COGITO run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "da39098a-f51c-4f6c-9b26-8f6f848baf6c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the atomic orbital energies! [(-11.523317809152+0j), (-6.796977698479+0j), (-6.79697770656+0j), (-6.796977688042+0j), (-11.523317900534+0j), (-6.796977660102+0j), (-6.79697764956+0j), (-6.796977668078+0j)]\n",
      "8\n",
      "solving for 35 k-points\n",
      "-----------------------------------\n",
      "-----------------------------------\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "kpts: 110 [[0.0, 0.0, 0.0], [0.05, 0.0, 0.05], [0.1, 0.0, 0.1], [0.15, 0.0, 0.15], [0.2, 0.0, 0.2], [0.25, 0.0, 0.25], [0.3, 0.0, 0.3], [0.35, 0.0, 0.35], [0.4, 0.0, 0.4], [0.45, 0.0, 0.45], [0.5, 0.0, 0.5], [0.5, 0.0, 0.5], [0.5, 0.025, 0.525], [0.5, 0.05, 0.55], [0.5, 0.075, 0.575], [0.5, 0.1, 0.6], [0.5, 0.125, 0.625], [0.5, 0.15, 0.65], [0.5, 0.175, 0.675], [0.5, 0.2, 0.7], [0.5, 0.225, 0.725], [0.5, 0.25, 0.75], [0.5, 0.25, 0.75], [0.4875, 0.2625, 0.75], [0.475, 0.275, 0.75], [0.4625, 0.2875, 0.75], [0.45, 0.3, 0.75], [0.4375, 0.3125, 0.75], [0.425, 0.325, 0.75], [0.4125, 0.3375, 0.75], [0.4, 0.35, 0.75], [0.3875, 0.3625, 0.75], [0.375, 0.375, 0.75], [0.375, 0.375, 0.75], [0.3375, 0.3375, 0.675], [0.3, 0.3, 0.6], [0.2625, 0.2625, 0.525], [0.225, 0.225, 0.45], [0.1875, 0.1875, 0.375], [0.15, 0.15, 0.3], [0.1125, 0.1125, 0.225], [0.075, 0.075, 0.15], [0.0375, 0.0375, 0.075], [1.387779e-17, 1.387779e-17, 2.775558e-17], [0.0, 0.0, 0.0], [0.05, 0.05, 0.05], [0.1, 0.1, 0.1], [0.15, 0.15, 0.15], [0.2, 0.2, 0.2], [0.25, 0.25, 0.25], [0.3, 0.3, 0.3], [0.35, 0.35, 0.35], [0.4, 0.4, 0.4], [0.45, 0.45, 0.45], [0.5, 0.5, 0.5], [0.5, 0.5, 0.5], [0.5125, 0.475, 0.5125], [0.525, 0.45, 0.525], [0.5375, 0.425, 0.5375], [0.55, 0.4, 0.55], [0.5625, 0.375, 0.5625], [0.575, 0.35, 0.575], [0.5875, 0.325, 0.5875], [0.6, 0.3, 0.6], [0.6125, 0.275, 0.6125], [0.625, 0.25, 0.625], [0.625, 0.25, 0.625], [0.6125, 0.25, 0.6375], [0.6, 0.25, 0.65], [0.5875, 0.25, 0.6625], [0.575, 0.25, 0.675], [0.5625, 0.25, 0.6875], [0.55, 0.25, 0.7], [0.5375, 0.25, 0.7125], [0.525, 0.25, 0.725], [0.5125, 0.25, 0.7375], [0.5, 0.25, 0.75], [0.5, 0.25, 0.75], [0.5, 0.275, 0.725], [0.5, 0.3, 0.7], [0.5, 0.325, 0.675], [0.5, 0.35, 0.65], [0.5, 0.375, 0.625], [0.5, 0.4, 0.6], [0.5, 0.425, 0.575], [0.5, 0.45, 0.55], [0.5, 0.475, 0.525], [0.5, 0.5, 0.5], [0.5, 0.5, 0.5], [0.4875, 0.4875, 0.525], [0.475, 0.475, 0.55], [0.4625, 0.4625, 0.575], [0.45, 0.45, 0.6], [0.4375, 0.4375, 0.625], [0.425, 0.425, 0.65], [0.4125, 0.4125, 0.675], [0.4, 0.4, 0.7], [0.3875, 0.3875, 0.725], [0.375, 0.375, 0.75], [0.625, 0.25, 0.625], [0.6125, 0.225, 0.6125], [0.6, 0.2, 0.6], [0.5875, 0.175, 0.5875], [0.575, 0.15, 0.575], [0.5625, 0.125, 0.5625], [0.55, 0.1, 0.55], [0.5375, 0.075, 0.5375], [0.525, 0.05, 0.525], [0.5125, 0.025, 0.5125], [0.5, -1.387779e-17, 0.5]]\n",
      "evals: (110, 20) [[-6.19768   5.617956  5.617956 ... 28.474432 29.556194 29.565312]\n",
      " [-6.15471   5.329427  5.447286 ... 28.529196 29.038697 29.189178]\n",
      " [-6.025944  4.662477  5.05637  ... 27.883657 28.426876 28.699831]\n",
      " ...\n",
      " [-2.138442 -2.105341  2.685974 ... 25.252033 25.678372 26.005784]\n",
      " [-2.131075 -2.122864  2.78734  ... 25.194878 25.641434 25.743351]\n",
      " [-2.128705 -2.128705  2.823461 ... 25.17614  25.629082 25.631896]]\n",
      "--------------------------------------------------------------------------------------------------------------\n",
      "--------------------------------------------------------------------------------------------------------------\n",
      "average error in Valence Bands: 0.003983681721193508\n",
      "average error in Bottom CB: 0.009609228602763989\n",
      "average error in Conduc Bands: 0.2509503487139944\n",
      "band distance in Valence Bands: 0.006647786133807505\n",
      "max error in valence band: 0.04563320539917637\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import code for post processing\n",
    "from COGITOpost import COGITO_analyze as coze\n",
    "\n",
    "# set directory and initialize\n",
    "direct = \"../VASP/Si2_149/static/\"\n",
    "#direct = \"R-VO2/\"\n",
    "COGITOTB = coze(direct,min_hopping_dist=15,min_overlap_dist=15) # should be maximum distance\n",
    "\n",
    "# compare the interpolated COGITO energies with the original DFT energies (requires vasprun.xml file)\n",
    "COGITOTB.compare_to_DFT(direct)\n",
    "\n",
    "BandstrucDir = \"../VASP/Si2_149/bandstruc/\"# \"../Silicon/bandstruc/\"\n",
    "COGITOTB.get_DFT_bandstruc(BandstrucDir)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d15616e5-da98-471c-bc6d-5d169bf4bd32",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Should see linear decay in plot below, indicating exponential decay of hoppings with distance.\n",
      "The TB parameters shown below should also seem roughly proportional to the overlaps.\n"
     ]
    },
    {
     "data": {
      "image/png": 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c0joMsuBMBW49Ddd5agjE1aEeb/Dz0WKbw22xEU08HI2cJ/69E0dcrByf54ahf+PKNz0Nt+m50CeH2CxwiE07sknO5L5tzeYgcTjNuzlKbiz/gMqwPAc8yZPF/2RXQxkANHZi3oun2ToHqqprcd3La1HrxFXIeIF195citZLyq5NpNehp5ZszK5LVwCE28lmyFzw1kyPLekvkWXFT1zidHAHAO1tOufS7n5+RYzaUJ7NAwFhrx9EQyM9Hi82O/fPRYsVxrp3cT6rdnGGdvDY5siegsR/G94m326ZrC/Ofc36vG3ZduNV9yZG/ilfGgsIyVX83evk9O7si2RuxB8kCe5C0J/utQ61vkPnpqbr4z6pXtr4pqvWZO/tNVMm3WjViVbvqs544eu9pGQexODvPrCfJzwCnepbU5GodJCN3/F3RQw+SbK+w2sNt7EEin5efnorJfdua3Te5b9t6f2TV7F7PT0/1iU1wvZG1CddqTr52psK37Lfa4rIqDJ6/GUmvblDtIqf0OHnpqbquGv/vx3o5bDNtWBf8+veheDm1Mx7pFYuXUztrlhwBQERIgMvHcNeXLmu9ilefr95QV0m2V1hJ77EnsQfJAnuQ9MOdPRDsUXIfd/TYWauYbDmJevWuo14zkV/JN2clc7W8gZKeM60XXXRs2RQbpvRX/Hx3/q4se7ds7WV3dV0lT1OzZIsz2INEpHOWvWMNjbuTT2tVpwe+leU1yRFQ983Zmc8hXuFcLb3S+nflaoVvd/6urq6vZG+j3zNlVegxO9NtcTQETJBIt/SWaBhQ921Jq9VXDYHe5us42lgV0N97suTKJHWttAx1fYjN3WQ2+j1TVqX6cJvMhsey0xW8fVoDEyTSLXcmGmrP+chPTzVbAu5tdX18gcwO6t5oesYhm71Jen1PV/vzR9u1DsFps0d01ToEh0Z9uE3VdjJs9c5aFrCUHT729npITJBI11xNNGz1Qql5UUq2MRSen55q8zFyTtzUNT5ZdVrv70kprXuHH1riWlLniZ4R2WFAtTYEtteTaVnl21qvkjWy7bTCBIl0z9aqNxlaDnfFTV2D3aWavbzP0Ut9GHssh9t84T0pofUwtKufuzt7Rox/22SHAdUYLpTpyTRW+QbkE3tv/wLABIl8wpRhSchPTzXdjD/b46lhLmtJEFfJkTXTMw5pHQJBnUKRzg7Ty+77ldSmLvmSHQZUY7hQduNdYzvZBNPbvwAwQSKfJltTyZI7u/idqdtD1BBpvUmxbAVzW5TMHauWbGdcISc7DOjqcKESsgmmmhXL3YGb1ZLPmzIsSfMu+6tpvYSZyNtpWdLAALhcRfsOyR4XV3hzL82iP6dI/Q4X/Zmr2Ih0h0kMUcOj1obDNa6H4pA399I88W+5BFe2nVaYIBERkW69c9cNqh0rUoUtRtxt7rBOAOSHAV0dLgTkP2NjO2/u3XKGogSpsrIS2dnZ+PTTT7Fo0SKsWrUKeXl5asdG5JM8vYSZpQT0q4kPTILo2LKpW48/+et9qh1LrerT0U3dt3vezHV1E/kTokMcTgRXY7gQAF7feMCpdt7cu+UMp/77bdu2De+++y6+/vprVFVVoVmzZggODkZxcTEqKyvRoUMHPP7445gwYQJCQ0PdFTNRPXfPNV8ynxwGfDVdeVf55L5t3TbMNmVYkkeH8L6arv7eZ+QZ7SKa4nBRudZhuGTF4721DsEpxurTrmxYW1TuvvKeWvS6nCyVe1Fju7WT+0mtfFOjd8udpPO3kSNH4r777kPbtm2xfv16XLx4EefOncPJkydx6dIlHDlyBDNmzMAPP/yAjh07IjOTe8CQZ1irJ7S71LWl9GpO6rbWg+PpStqs3K1P7z/YXesQXLZuV4HWITjN1erT7sxhjL0uztYm8iTZXis1erfcSTpBGjx4MPLz8zFv3jz07dsXTZo0MXu8Q4cOGD16NNatW4fvv/9e9UCJrHGUBLmSJKlVR8lWT5a1EgTuxMrd+vPYJz9pHYLL9FjbydXq00qGjkIlx3OMvS6eLMbYSHLE0NiuwVXSfuqppxAQINfleP3112PQoEGKgyKScfdcueRHtp01juoouZpEyRS0VNNX01PNCmqSd8svrtQ6BE1ovYmpq9WnZYeOgvzq5mjtmjEI+2anOjWnyJMTodc/I/d+jO1YSZtIY7LbdLi6nUd2zim7P1vrmUkO08ewlh5ipIZH601MXZ03JTuB+te5qdgwpb9pvpPMkJmRJydCOzsh3FdWsUlP0n7ttdcUvUD//v3Rt29fRc8l0pq1ITrj/KarkwtXJoRrLT+dk7jJfYzL0p3l6LycO6yTW4bvokICXJqgbZTnIH7LekuW+/DZ8q8tR/Fg3wSPT4TOS0+1uWGtZf0ofz+55MdnVrEpXcaflJSk6HlEWpOZ38QeGCL7HuyboOh58Q7+/73kpuRoxwx1poc4KhfQY3am2WvJJnvTMw7hwb4Jpl4de71Oai3zN8pLT8XPR4vx54/+2L7k34/1Qs+ECLN2vrKKTTpBWrp0qTvjIHJacpjc8JmSicnOzG/Sc+8RwI1zvZkf3Lsiyhm7ZgzCqA+3OVV2QOkXCNkVWt8/K3chtqVjy6YouliFlqEBWPF4b1V6jgCguKwKZ8rsT/RWo5yAM706augxO7Pe+/rzR9vrJZZaJG/u4HQH15UrV/Doo4/i+PHj7oiHSJpsYqIkgfHU/CYjrSalcuNc7xYW7K91CCYRIQHYMKW/VNIzd1gnl3pXnZnkm5+eCqUpxoYp/ZEzc7DZPCA1yJYJcLWcAFCXBH3/bD/TcJW/X13i6InkyMhagc28dNuTzt2RvLmD0wmSv78/vvrqK3fEQuQ0tZbia02rSancc867Naq+onUIAIChHRuZ/ZyfnlpvbpExKcpPT1U8rGbkzCTf4rIqKFmUr3RulAzZMgFXt5ONx1q7hOgQHJlb99kfmZuqes+MMz1iV/NU8uYuigrZ33333fj6668xZcoUteMhclp+eqrdStpqV9l2F06WJkvnvCM/wsKxQ+rd92DfBJcTIVucmeSrtBfGXbEDdWUCLlQ4/uVdXU7gwb4JUvOQ3Bm3Lc70iG2Y0t/sPmPypkeKEqSEhAT8/e9/x7Zt25CSkoKmTc332pk8ebIqwRHJspXwyK5Cs+Ro/PzqdmrKT0/FxpxCjF3h3btcU8OhRS+sM5N871vkfILk7ve04vHe6Caxp5tlOQFHX5K06hFX0iPmCxQlSB999BGaNWuGnTt3YudO8z/kBoOBCRJ5BVdWocnupOSOHZcGJEUjP+mPuCx7wMg2Vyft0h9aA9iu0QV59S65Je+rdx2V7q0BgD93C8frf77VldCk5Bwtlm5nObyen56KF/+9Ff/eVWK6z1Nx26KkR8wXKKpCkJeXZ/PGydvkDTxRZdtTXN10tyExTtq1nDOjV3/uFq7Za5+GdiscZefGvbPlFGaP6Cp93H/vKvHIe5LtAbbWLm7qGrPkCPBc3LbIfsbO/C70wKUyTVVVVTh06BCqq6vViodIFZ5eheZuSrvWHW2662t7sxnnrSwcO0Q3E/TtsbxQasHWhfloYRmunb4GcVPX4NrpazTbV+uhJdsdN7LgrXP93Lm3pCtkP2Nr7couV2P88h24460tGL98B8ou6ydfUJQgXbp0CePGjUOTJk1w/fXXo6CgbrfmyZMnIz09XdUAlaisrERSUhIMBgNycnK0Dod0SLbnxR09NP/achRxU9eYbsaflXC0jN+Z3ik99kbpMWZvZHkexU9dg4FvZZkS0iu1wMC3shwWd3QHpdtVbMwpVDcQF8nGo0XcSrcOGbEgG4mz1iMztwiHCi8iM7cIibPWY8SCbPWDdANFCdK0adOwZ88ebN68GUFBQab7Bw4ciJUrV6oWnFIvvvgi2rRpo3UYpGOOel6cbScrbuqaeitZXNlOQWaoQranRY8lAfQYsze6+nO0VZgQqJuTp0aS5IkvKO5cCCFb1+zqdq4My3mjEQuysfek9S76vSdLdZEkKUqQvv76ayxYsAC33norDIY/1vF06dIFx44dUy04JdauXYsNGzZg3rx5msZB2pIdOrLXztM1lrTs9re24S5pz521epSQrXDt6nCbVl9Q1CJb10zrTXndpexytc3kyGjvyVKvH25TlCCdOXMGLVu2rHd/eXm5WcLkaf/9738xfvx4fPrpp2jSpInUcyorK1FaWmp2I/1Tq8p2fnpqvW+pk/u2VT05kt2o0p2+ml7/veqNVhXJ1WK5eacWNW/scabCtav0XgRW7/G74rmVu1VtpxVFCVKPHj2wZs0f33aNSdHixYvRq1cvdSJzkhACY8aMwYQJE9C9e3fp56WlpSE8PNx0i4mJcWOU5Elq/YGaMizJVCE4Pz3VLd9a3bEruRJ6H5Ky/Eaut4TJ2uadSi6kS0alIN9KFWOljImz0rkoSrnzC4onzo389NR6r2P83SiNRw/ndMH5ClXbaUVRHaS0tDQMGTIEBw8eRHV1Nd5++20cOHAA27dvR1aWujVIZs2ahVdffdVumx07dmDbtm0oLS3FtGnTnDr+tGnTzCqCl5aWMknyIY6qbKtFL9W6LYtQLhmV4jPd/NYuOgOSooEVzh1Dq6FOe5t35qenYn5GjtNzyiyrGMsew5LxS4EzFa7VMmVYkt0vJUtGpSial+Op896yrpm9djLnqhb/X2U/Y2Py1r55MA4VXnTYvn3zYJdjcyeDEEJRrbt9+/Zh3rx52LlzJ2pra9GtWzf87W9/ww033KBqgGfPnsXZs2fttomLi8OoUaPw7bffmg3x1dTUoFGjRnjooYewfPlyqdcrLS1FeHg4SkpKEBbGSRnkmBqVb915UTbGIBOnty5/lmHvs3b0viyLIrpSzXzusE6Yue6QU70ojjbvtDcx2pnjAM7/jq/+XI8WlkkV4vz+2X4e3andlffkbbyxkjYg9xkb4yu7XI3EWesdtt8/6w6EBCnqp7FK7eu34gTJ2xQUFJjNH/r9999xxx134IsvvsBNN92Edu3aSR2HCRI5w5k/Gq4eR4nJfdtiyrAk6TiV9jB4C3uftZLes2unr1E0XORsT5S9uGWTIyO1kiTjueNsPFrt1C7znvTSY+qtPb3OJG/2VrEBQNd2YVg9qY9qsQFekiA1atQIp0+frjdR+9y5c2jZsiVqampcDsxV+fn5iI+Px+7du5GUlCT9PCZIJEt2CxCZ4TbZb+bOcmZvN+MfYT33Iql1IXF1Pzy1EiSl54VMD45lMmwrIbLGVpKkVXJk5K2JhS9x5jO2lSS5IzkCvCRB8vPzQ2FhYb0E6ffff8c111yDigrtJ14xQSJ3U6uHwMjZngLZ11QSp56TJFeHIdR472olSEp7sPz94PYd1I8WlmHoO3XFIv396iaYe3JYjfSh7HI1nlu5GwXnK9C+eTDevD9Z1WG1q6l9/XYqynfeeQdA3aq1jz76CCEhf/xnqKmpwZYtW3Dddde5HJQa4uLi4COjh9RA5KWn2v1mLns2O9MTYIsvDLcp4W2JodLVYGqtIrPHcgI4kTUhQY2xeHQPrcNQxKkE6c033wRQt6T+gw8+QKNGf2wIGRAQgLi4OHzwwQfqRkjUgOSlp9r9Zu7J1XJXrx7ytsTBHdTawuHqZfWurviSPYYzxyQiOU4lSHl5eQCA2267DatWrULz5s3dEhSRHiSHyW1262yFanvfzJUkQ84u0XWV1kvllVJrCwdjLaO1k/tJzR+yVvvo6seUzEGyd0x3+NeWo2a1vOYO6+R1RS6JnKXoe8amTZvQvHlzVFVV4dChQ6iu9u5y4UTuoFa1bnfTYtsDawXyPCHzWc8mBpaurmWUEB3iMGGzV/tI9hjOHlNttvYPbAi9juTbFCVIFRUVGDduHJo0aYLrr78eBQUFAIDJkycjPT1d1QCJvJk7thPYmFOIuKlrTDc1hn5cjVPJ5qHOJlyuJlWeTgysEaibWG3ciywvPdVmgiO74sveMZQeUy2OkiAmSaRnihKkqVOnYs+ePdi8eTOCgoJM9w8cOBArV65ULTgiPbC20WtymLLkKG7qmnpDPWNX7FRtZZXstgeWlG4e6uymwQOSos22dZH9DNVIDNTq8bpSCwx8K8u0q32elS0/vn+2n1PxWjvGklEpLh3TVbL7B3rDPoO+rqq6Fh9nH8cr3+zHx9nHUVXtgVn6DYCiZf6xsbFYuXIlbr75ZoSGhmLPnj3o0KEDjh49im7duul6w1cu8yetqFV00p2UVPl19X3Ze77ay8vV7vHQui6QO6ld5oKUScs4iMXZeai96kruZwDG94nHtGFdtAtMA2pfvxX1IJ05c6ZeDSQAKC8vN9vqg4jkyA6jqbXSSiklm4e6Mrzn6CJ8pVbdYTW1L+QCMA23EaktLeMgFm0xT44AoFYAi7bkIS3joDaB+QhFCVKPHj2wZs0ff7iMSdHixYvRq1cvdSIjakBkV1CptdLKFVOGJZkNgckMvykZhtQqaVR7gvnQd9SvkO4O8zNyzOa+zc/I0Tokl7ljPp8nyMRdVV2Lxdl5do+zODuPw20uUFTOMi0tDUOGDMHBgwdRXV2Nt99+GwcOHMD27duRlaWPPwZE5FnOruZzJmmU2S3dGZY7sLsy9OaJoo2usvb+3tlyCu9sOWUziW0KoFzi2E1dC00xa+9p7IqdwArvHvKTjfvT7fn1eo4s1Yq6duP6dFA7zAZBUQ9S79698eOPP+LSpUu45pprsGHDBrRq1Qrbt29HSornl/YSEbmTK71K3l60UelKNP9gf6njy7ZTk15X1zkT92/Fl6SOKduO6lO8IcoNN9yA5cuXqxkLUYPl6WKO5DzLXiXZjWQ9XbTRGbLDaPMzcuoNpbYMDcCFiisOn9syNEBBZMo5MzTrTRvZOht3bEQTqfay7ag+l77bFBUVYf/+/di7d6/ZjYico0UxR3KNGoUgtSa71561dise7y31XNl2atHTfL6rORv3w73i4OfgBPQz1LUjZRQlSDt37kRiYiJat26Nrl27IikpyXRLTk5WO0aiBsEdRSf1TLa3TMteNTUKQepVREgAokLs9w5FhQQgwkEbUiagsR/G94m322Z8n3gENPbyMV4vpmiI7dFHH0XHjh3x8ccfo1WrVlzaT6SS/PRUbMwpNPs2uWRUikd6juZn5Jj1FEzu29bqCjVPbZg7ICkaWCHZTkOONhj2ZTtmDEKP2Zk4U1ZV77GokADsmDFIg6gaDmOdI9ZBcg9FhSJDQ0Oxe/duJCT43maELBRJDZFsAUglhSJdpcVrNhSWSbEttpJlo+KyKoz6cBuKLlahZWgAVjzeW7OeI8svGLZ46ouHLFfirqquxafb8/Fb8SXERjTBw73iGmTPkdrXb0UJ0l133YWHH34Y9957r8sBeBsmSNTQyFa61rLSt6d71bTqxdOCHiq4O0uv70mvcXsLr0iQzp49i9GjR6Nnz55ITEyEv7/5Ms4RI0a4HJhWmCBRQyLbg2BAXVVoR9w13OapYT2gYfZY+eJ71ut70mvc3sArEqTVq1fj4YcfxsWLF+sf0GBATU2Ny4FphQkSNSTuqAej9h9xT14wGvI3eNk5aHqi155AvcatNa9IkOLi4jB8+HC8/PLLaNWqlctBeBMmSNSQeHuC5MmERa9zV4iojldsVnvu3Dk899xzPpccEZH3uHuuXPIm284RvdbPISL3UJQg3XPPPdi0aZPasRCRzlluSOuKq+ccqdGOiMgZiuogdezYEdOmTcPWrVtxww031JukPXnyZFWCIyJ9cdfEaSIiT1OUIH300UcICQlBVlYWsrLM9yIyGAxMkIh8kKOl/nqfvMz98IjoaooSpLy8PLXjICINJIfJDVEZh87y01PduuT+6oKDstQa1ktKiFC1HRHpm6JVbL6Mq9ioofGWpe22tqxwRK3YBs/fjMNF5Q7bdWzZFBum9FflNYlIPWpfvxX1IAHAyZMnsXr1ahQUFKCqyvyP2vz5810OjIg8wxuGzrROjgBI91o507tFRPqlKEH64YcfMGLECMTHx+PQoUNITExEfn4+hBDo1q2b2jESkZu5e+jMnuKyKqeTI3fE1jI0ABcqrki1IyLfp2iIrWfPnhgyZAhee+01hIaGYs+ePWjZsiUeeughDBkyBBMnTnRHrB7BITYiz/KWoa3isip0m53psN2uGYM024iViGzzikKRubm5GD16NACgcePGqKioQEhICF577TX84x//cDkoImo4vGVoKyIkAFEOEp+okAAmR0QNhKIEqWnTpqisrAQAtGnTBseOHTM9dvbsWXUiI6IGQXbIyhNDWztmDLKZJEWFBGDHjEFuj4GIvIOiOUg333wzfvzxR3Tp0gWpqal4/vnnsW/fPqxatQo333yz2jESkQ9b8XhvqaGtFY/39kA0dUnS1eUGWoYGYMXjvdlzRNTAKEqQ5s+fj7KyMgDArFmzUFZWhpUrVyIhIQFvvvmmqgESkW8zDm3Zm6jt6aGtiJAALuUnauCcnqRdU1ODrVu3omvXrmjevLm74tIMJ2kTacPWUn8ObRGRDLWv34pWsQUFBSE3Nxfx8fEuB+BtmCARaYdDW0SklFcUirzhhhtw/Phxn0yQiEg7HNoiIm+haBXbnDlz8Ne//hXfffcdTp8+jdLSUrMbERERkZ4pGmLz8/sjrzIYDKZ/CyFgMBhQU1OjTnQa4BAbERGR/njFENumTZtcfmEiIiIib6UoQerXr5/acRARERF5DUUJktGlS5dQUFCAqirzpbldu3Z1KSgiIiIiLSlKkM6cOYNHH30Ua9eutfq4nucgERERESlaxfbss8/i/Pnz+OmnnxAcHIx169Zh+fLluPbaa7F69Wq1YyQiIiLyKEU9SBs3bsQ333yDHj16wM/PD7GxsRg0aBDCwsKQlpaG1NRUteMkIiIi8hhFPUjl5eVo2bIlACAiIgJnzpwBUFdActeuXepFp8CaNWtw0003ITg4GJGRkbjnnns0jYeIiIj0R1EPUqdOnXDo0CHExcUhKSkJixYtQlxcHD744AO0bt1a7Rilffnllxg/fjzmzp2LAQMGQAiBffv2aRYPERER6ZOiBOnZZ5/F6dOnAQAzZ87EHXfcgc8++wwBAQFYtmyZmvFJq66uxjPPPIM33ngD48aNM93fqVMnTeIhIiIi/VKUID300EOmfycnJyM/Px+//vor2rdvj8jISNWCc8auXbtw6tQp+Pn5ITk5GYWFhUhKSsK8efNw/fXX23xeZWUlKisrTT9zqxQiIiJSNAfpakIIBAcHo1u3bpolRwBw/PhxAMCsWbMwY8YMfPfdd2jevDn69euH4uJim89LS0tDeHi46RYTE+OpkImIiMhLKU6QPv74YyQmJiIoKAhBQUFITEzERx99pGZsAOoSHoPBYPf2yy+/oLa2FgDw0ksv4d5770VKSgqWLl0Kg8GAzz//3Obxp02bhpKSEtPtxIkTqr8HIiIi0hdFQ2wvv/wy3nzzTTz99NPo1asXAGD79u147rnnkJ+fj9mzZ6sW4KRJkzBq1Ci7beLi4nDx4kUAQJcuXUz3BwYGokOHDigoKLD53MDAQAQGBqoTLBEREfkERQnSwoULsXjxYjzwwAOm+0aMGIGuXbvi6aefVjVBioyMlBq6S0lJQWBgIA4dOoRbb70VAHDlyhXk5+cjNjZWtXiIiIjI9ylKkGpqatC9e/d696ekpKC6utrloJQICwvDhAkTMHPmTMTExCA2NhZvvPEGAOBPf/qTJjERERGRPimag/SXv/wFCxcurHf/hx9+aLbCzdPeeOMNjBo1Cg8//DB69OiB3377DRs3bkTz5s01i4mIiIj0xyCEEM4+6emnn8Ynn3yCmJgY3HzzzQCAn376CSdOnMAjjzwCf39/U9v58+erF60HlJaWIjw8HCUlJQgLC9M6HCIiIpKg9vVb0RDb/v370a1bNwDAsWPHAABRUVGIiorC/v37Te0MBoPLARIRERF5mqIEadOmTWrHQUREROQ1XC4USURERORrmCARERERWWCCRERERGRB0RwkIiL6Q1V1LT7dno/fii8hNqIJHu4Vh4DG/P5JpGdMkIiIXJCWcRCLtuSZ3ff3Nbl4om88pg3rYuNZROTtFCVI586dQ4sWLQAAJ06cwOLFi1FRUYERI0agT58+qgZIvqm4rAqjPtyGootVaBkagBWP90ZESIDWYRE5xVpyZGS8n0kSkT45VShy3759uPPOO3HixAlce+21WLFiBYYMGYLy8nL4+fmhvLwcX3zxBe666y43huxeLBTpfj1mZ+JMWVW9+6NCArBjxiANIiJyXlV1LTrOWOuw3eHZQzncRuQBal+/nfpf++KLL+KGG25AVlYW+vfvj+HDh2PYsGEoKSnB+fPn8cQTTyA9Pd3loMh32UqOAOBMWRV6zM70cEREyizYeEjVdkTkXZxKkHbs2IE5c+bg1ltvxbx58/D777/jySefhJ+fH/z8/PD000/j119/dVespHPFZVU2kyOjM2VVKHbQhsgbfJB1XNV2RORdnEqQiouLER0dDQAICQlB06ZNERERYXq8efPmuHjxoroRks/40wdbVW1HpKWqGnXbEZF3cXpg3HJ/Ne63RrKOna1QtR0REZG7OL2KbcyYMQgMDAQAXL58GRMmTEDTpk0BAJWVlepGR0RERKQBpxKkRx55xKzH6C9/+YvVNkREvi6wEVApMXwW2Mj9sRCR+pxKkJYtW+amMIiI9GVCvwS8vfGoVDsi0h+n5iA1atQIRUVF7oqFfNwt10Q4buREOyItPTXgWlXbEZF3cSpBcqKmJFE9ix7uoWo7Ii0FNPbDE33j7bZ5om88i0QS6RT/55LHhAQ1Rtd29qubdm0XhpAgbhFI+jBtWBc80Tcelmt5DQD3YiPSOaevROvXr0d4eLjdNiNGjFAcEPm20xcuu/Q4kbeZNqwLnh98HT7dno/fii8hNqIJHu4Vx54jIp1zOkEaPXq03ccNBgNqalgZjepzppI2N64lPQlo7IdxfTpoHQbpBDfr1genNqv18/NDYWEhWrZs6c6YNMXNat1n8PzNOFxU7rBdx5ZNsWFKf/cHRETkYdys23003ayWVbPJFSfPOU6OnGlHRPYVl1Vh8PzNSHp1AwbP38x9DjXGzbr1xakhNq5iI1dckhx5lW1HjrErv+GyvBhfqLiCbrMz2VOhEU4x0B+nepBGjx6N4OBgd8XiVT7Zloeq6lqtwyBSrMfsTHSbnYnDReW4UHEFh4vK0W12Jr+lNgDsqfA+oz7cpmo7cj+nEqSlS5ciNDTUXbF4ldfXH0anGWuRlnFQ61B8RiPJEVrZdmQbL5ANlzM9FeQ5RRflPm/ZduR+0kNsY8eOVfQCd911l26X/QsAi7bkAQDrmahgYt9rsCDrmFQ7Uo5d+Q2bMz0VXAzhOS1DA3Ch4opUO/IO0glSbGysohdo1qyZoud5k0Vb8vD84OtY18RFkwd1lEqQJg/q6IFofBcvkA0beyq804rHe6ObRM/tisd7eyAakiGdIM2cOdOdcXi9j7Ycw5PcU8klZZerpduxZ0M5XiAbtoim/lI9FRFN/T0QDRlFhAQgKiTAbu9uVEgA//Z5EXaJSPrXzwVah6B7nKToGbJd9OzKV0/Z5WqMX74Dd7y1BeOX75D+MuAOtbVyy0Bl25F6dswYhCgbCRBXF3of6QRpxYoV0gc9ceIEfvzxR0UBeavKGq5oc1VhSYWq7ci6T8berGo7sm/EgmwkzlqPzNwiHCq8iMzcIiTOWo8RC7I1ief8JbnkTLadr9KqRtSOGYPw/bP94P+/q6+/H/D9s/2YHHkh6QRp4cKFuO666/CPf/wDubm59R4vKSlBRkYGHnzwQaSkpKC4uFjVQLXWta39/efIsYorckmmbDuybtWuE6q2I9tGLMjG3pOlVh/be7JUkyTJXatFfanopJYlMHrMzsTAt7Jg/DN3pRYY+FYWV5Z6IekEKSsrC/PmzcPGjRuRmJiIsLAwXHvttbjhhhvQrl07tGjRAuPGjUNcXBz279+PO++8051xe9zbo7ppHYLu+UnmPbLtyLrP/vObqu3IurLL1TaTI6O9J0s9PtwW5C83tVS2HeBbNbW0LIHB8hv64lQl7eHDh2P48OE4d+4ctm7divz8fFRUVCAyMhLJyclITk6Gn5/vTWvq2i4MIUFO7+tLFmr9AEgkP7W+dwp5VFFppartyLqJ//xFut2nj3luOFN2OoBsO5mLul6Gh7QsgcHyG/qj6KrfokULjBw5Uu1YvFLXdmFYPamP1mH4hMDGBlypcrxdTWBjVop0xRXJHYFk25F1Px49p2o7tVyqkuuxkmnnaxf1exfKDXneuzAbm164XdXXZvkN/eF3dQdOX7isdQg+o0bygizbjkhLsiPBHh8xrpX8DyTRzpmEQg9+Oyf391y2nTNYfkN/FPUgNW/eHAZD/W/5BoMBQUFBSEhIwJgxY/Doo4+6HKDW9NaF7M2CAxqj4orj+izBARzOJFKqWjI/kmmXJ5koyLazxxMbK8t+93LHd7TmTRpJ1adq3qSRG16dlFB0JXrllVcwZ84cDB06FD179oQQAjt27MC6devw1FNPIS8vDxMnTkR1dTXGjx+vdswep6cuZG92pVqu7opsOyKqLzigEa5cdvx/KDjAey7ElvOcLlRcQbfZmarXBopvEYzj5xyXEYlvof6m7AbITR2QbUfupyhB2rp1K2bPno0JEyaY3b9o0SJs2LABX375Jbp27Yp33nnHJxIkgOPCaqiV7PqXbUdE9UWHBaH0crlUO2/gyUngX0y8VWq7jy8m3qrK612tWLLulGw7cj9Fc5DWr1+PgQMH1rv/9ttvx/r16wEAw4YNw/Hjx12LzotwXNh15ZKzgmXbEWkpJEDuz6dsO7W8/2B31drJRq70HTozCVwNsvtpumPfTVa41x9FZ0FERAS+/fbbevd/++23iIiIAACUl5cjNDTUtei8CE9aIrpam2ZywzCy7dTy5L/kyg/ItNvwbD+pY8m2s+Tp7YeeWbFL1XbOkN2ElpvVeg9FQ2wvv/wyJk6ciE2bNqFnz54wGAz4+eefkZGRgQ8++AAAkJmZiX79lP2n8UY8aUkvghsBFRLTuIK9ZwqKLnnr7uxqrpaSnXepdH6mp1d27T1Vomo7Z3CzWv1R1IM0fvx4ZGVloWnTpli1ahW++OILNGnSBFlZWRg3bhwA4Pnnn8fKlStVDdaRw4cPY+TIkYiMjERYWBhuueUWbNq0yeXj8qRVR5uwQFXbkXWVknPcZduRdcYLnj1a/O2IaCL3vVemnbt7eNSMVUZgI7lLnmw7Z3GzWn1RfNbdcsstuOWWW9SMxWWpqano2LEjNm7ciODgYLz11lsYPnw4jh07hujoaEXH5Emrnr/cHIvXNxyWakfKeW19Hh/UulmQ3R6B1s08PxFaSC5Sl2nn7h4eNWOV8WDP9lJ/gx7s2V6V17Nmx4xBHilpQK5TnCDV1NTg66+/Rm5uLgwGA7p06YIRI0agUSNt+u3Pnj2Lo0ePYsmSJejatSsAID09He+//z4OHDjgdIKUENUEX0wexJNWRY/1vUbqj9Njfa/xQDRErnFmLzZPblV0/pJc16BMu5ahAVK1e5TO0VQzVhne8jcoIiSAq6J1QFE/4tGjR9G5c2c88sgjpiG2v/zlL7j++utx7NgxtWOU0qJFC3Tu3BmffPIJysvLUV1djUWLFqFVq1ZISUmx+bzKykqUlpaa3QDg60l9mBypLKCxH57oG2+3zRN9492ygqQhkS1v40VlcHRJywm/9qi5WsrdE4s9vbKrqlqu31S2nVJll6sxfvkO3PHWFoxfvsPjGxqTHEVXosmTJ+Oaa67BiRMnsGvXLuzevRsFBQWIj4/H5MmT1Y5RisFgQGZmJnbv3o3Q0FAEBQXhzTffxLp169CsWTObz0tLS0N4eLjpFhMT47mgG6Bpw7qga7swq491bReGacO6eDgi3xMWLHcxkW1H1u3+7byq7dSiZlITERIAR99XGvspn6Tt6ZVd3pDUjliQjcRZ65GZW4RDhReRmVuExFnrMWKBPrZraUgUJUhZWVl4/fXXTUv6gboenPT0dGRlZakWHADMmjULBoPB7u2XX36BEAJPPvkkWrZsiezsbPz8888YOXIkhg8fjtOnT9s8/rRp01BSUmK6nThxAgDwybY8t3+LaIjSMg7aHJbYe7IUaRkHPRyR7+nS2noCqrQdWXehQu5bv2w7tag5ebzscjUc/RmsroXiHhBPT3Tfc+KCqu2cNWJBtt2/f0ySvIuiBCkwMBAXL16sd39ZWRkCAtT9Vjpp0iTk5ubavSUmJmLjxo347rvvsGLFCtxyyy3o1q0b3n//fQQHB2P58uV230tYWJjZDQBeX38Y1728lhdsFVVV12LRljy7bRZtYWLqKoOQm68h246s8+bJ8GqtlvJEj4snV3ZV1UgOsUm2c4Yzc9bIOyiaOTh8+HA8/vjj+Pjjj9GzZ08AwH/+8x9MmDABI0aMUDXAyMhIREZGOmx36dIlAICfn3nO5+fnh9paZSd7rYDpgs6hH9e9t/GIdLvnBndyczS+68DpMlXbkT6psVrKU3WDbK0GVHsVoOy1QOk1w56Jn/4s3e7T8ay75w0U9SC98847uOaaa9CrVy8EBQUhKCgIt9xyCxISEvD222+rHaOUXr16oXnz5hg9ejT27NmDw4cP44UXXkBeXh5SU1NdOvbibPZqqGHRFrmtZ2TbkXVVNXJLomXbkX4ZV0vlzByMDVP6Oz1U5Ym6QZ4cdgr0l+sTkG3njB+Pyc1Fk21H7qforG7WrBm++eYbHDp0CF988QU+//xzHDp0CF999RXCw8PVjlFKZGQk1q1bh7KyMgwYMADdu3fH1q1b8c033+DGG2906di1Avh0e746gTZgVyS7rWXbkXWxEXLfumXbUcMlWw9Iad0gTw87JcU0U7WdM2S/jvBri/dwKU2+9tprce2116oVi8u6d+9u2ixXbb8VX3LLcRuSgMYGVEhsRBvQ2OCBaHzX5StyCaZsO7Kuc8umyC0ql2qnV+6uG+TMHKePx/RU9BpXe3tUNyTOcnyNeHtUN5dfy1KzYD+cr3D8f65ZMMuceAvpBGnKlCnSB50/f76iYLxZVFMuiXbV0MRWWLW7UKodKWcwyCWYsu3IumrJr/qy7byRsXaZvcUVrtQu8/SqMtk43VGL7c/d22NRdr5UO/IO0gnS7t27pdr56h/db/acwtMDO2odhq51im4GwHGCVNeOlIpt0RSHJXo2Ylvot2fDK8j+qdPwT2JVdS0+3Z6P34ovITaiCR7uFef0xd+4QOXDLXlmwz8GAI/3jXdpAYunV5V9tEWukPFHW47hyQHqjo58u9d2uRnLdtNSr1f1tUkZ6QRJjU1f9exsmeNy+2SfQfKbtGw7su7N+5OlhhHevD/ZA9H4Lm/Pj9IyDmJxdh5qr/r/NCcjF+P7OJ/UTBvWBc8Pvs7lZMuSp1eV/evnAul2aidIZ8oqVW1H7ue5DYJ0rkVTf61D0L2TJRWqtiPrQoIaI9jfDxV25hgF+/t5dH8wX9Q1Jlyqp65rjOcXrqRlHLQ6LOZK6ZKAxn4Y16eDKvEZBTZujLIqx18+Axurc65WSvZEybZzCmdp6w5ng0lq1yxQ6xB0r1mw3OZfsu3IurLL1XaTIwCouFLLgnQuOl8ut4O9bDu1VFXX4kMHBVk/9JKCrEnt5ZJH2XaOdG0rdxzZds5wVDHc2XbkfkyQJBWW8WLiqn/954Sq7ci651bKzReUbUfWnbsoNxQi204ty37Mc9gJIf7XTmtvj7K9kbiSdo68cV+Squ2c8Zeb41RtR+7HBElS++bBWoegeyWX5eZxybYj6/LPOR72caYdWWet8rMr7dSyfr/jhRDOtDMqLqvC4PmbkfTqBgyevxnFKryvkKDGNjevNuraLky14eAvdsp9+ZJt5wzZUghKSyaQ+pggSeKEVhVwDN4jvH3ysK8QkuepbDu1/LfssqrtAKDH7Ex0m52Jw0XluFBxBYeLytFtdiZ6zM5UGqbJ6kl9bCZJXduFYfWkPi6/htGavadUbecMY8kEe1wpmUDq429CgprfYBqyNqFyE91l25F1KXERqrYj68qq5Db7lW2nlpYhcvMlZdv1mJ1psxfsTFmVaknS/ll3YFDnlugUHYpBnVti/6w7VE2OAODXQrn9B2XbOWvasC54om98vS8nBtQlR9zz07vwqu+A2t9gGrLAwAAAEitWAjlJ0RUJUSGqtiPr/CXXEsi2U8uQxNbYdcLx5rFDEls7bFNcVuVwiPBMWRWKy6qc3ufNUkhQYywe3cOlY+iBu0omkPr4G7Hhtk6RbvkG05CxZ8MzHu4VBz8H42d+hrp2pJyW+3rZM+aW+j0Ulgz/a+fInz7YKvWasu20Fio5EiDbTiljyYTXRiZiXJ8OTI68FH8rNrz7YAqH1VTWJkxuortsO7IuoLEfxvexf/Eb34dzHVzl6RVYsgIa++FxB3NdHpec65J/Tq4mmWw7rd12XZSq7ci38S8kecw3OXIrQ2TbkW3GuQ6WPUl+Bs51aAjU+v1760R0pa6LlqtvJNtOqarqWnycfRyvfLMfH2cf94qaVFQfu0jIY86Wy9WSkm1H9nGug3s5U29Ki7k1avz+W4X64/RFx/MGW+lkYcXDveIwJyPXbPsVS+4eflZzCxhyLyZI5DEtQwNwocLxH9uWoZykrRZ3bA9BdQrOyw0rybZzB1d//w/3isfrGw5LtdMD4/CztW1YjNw5/OyOLWDIffhVkjxmxeO9VW1HpCXZ4rF6LjLri8UNtRp+rqquxeJs+9XLF2d7xxYwVIcJEnlMREiAw32GokICXF4uTOQJssVj9Vxk1leLG04b1gW//n0oXk7tjEd6xeLl1M749e9D3dp78+n2fLtDe0BdT9Kn2/PdFgM5h0Ns5FE7ZgxC55fXWt1MNdjfDztmDNIgKiLnGbfJ2Huy1GYbXygya0waPtxivsebAXWr4fQ6JOTp4effii+p2o7cT9//c0l30jIO2txpvuJKLdIyDur2Dy6Rr+KEf9e1ayY31CrbjtyPCRJ5jOwY/PODr+MfXvJ6ZZer7fYeAcDek6Uou1yt+14kgBP+XcWtKPWHVyHyGI7Bky9xZpk/UUFxuartyP2YIJHHcAyefIkelvmT9ygqrVS1Hbmf/vt9STdiI5qo2o4cK7tcjedW7kbB+Qq0bx6MN+9P9onhHm/QvnkwDhVelGpH1DIsSNV25H7sQSKP4SaqnjViQTYSZ61HZm4RDhVeRGZuERJnrceIBdlah+YTGsIyf1JPh8imqrYj92OCRB7DTVQ9Z8SCbJsTiPeeLGWSpALjMn97fGGZP6mDXxD1h1ci8ihuoup+zqyuItesntTHZpLUtV0YVk/q4+GIyFvxC6L+GITQyz7MnlFaWorw8HCUlJQgLMz+t0NSrqq6ljVV3GT88h3IzC1y2G5Q55aabKLqizjXi2RZ26zWzwBuVqsCta/fTJAsMEEivbvjrS1Sk4c7RYdi/bN9PRAREV2NXxDdQ+3rN7/iEPmYds0CpRKkds0CPRANEVli0U19YMpK5GNS2keo2o6IqCFigkTkY34vuaxqOyKihogJEpGP+W+pXOIj246IqCHiHCQiHxMVJje3SLYdOcZJt0S+hwkSkY+5JjJE1XZkn7Vl23Mycrlsm0jn+BWHyMewYq/npGUcxKIt5skRANQKYNGWPKRlHNQmMCJyGRMkIh/Dir2eUVVdi8XZeXbbLM7OQ1V1rYciIiI18S8kkQ/ili7u9+n2/Ho9R5ZqRV07ItIfzkEi8lHThnXB84Ov4+RhN/mt+JKq7YjIuzBBIvJhrNjrPrERTVRtR0TehV8liYgU4GR4It/GBImISAFOhifybRxiI/JhLGDoXsbJ7pZ1kPwMYB0kIp0zCCEcrMNoWEpLSxEeHo6SkhKEhYVpHQ6RYtYKGPLC7R5MRIm0p/b1W1f/g+fMmYPevXujSZMmaNasmdU2BQUFuPPOO9G0aVNERkZi8uTJqKqq8mygRBpjAUPPMk6Gf21kIsb16cDkiMgH6Op/cVVVFf70pz9h4sSJVh+vqalBamoqysvLsXXrVqxYsQJffvklnn/+eQ9HSqQdFjAkInKdruYgvfrqqwCAZcuWWX18w4YNOHjwIE6cOIE2bdoAAP7v//4PY8aMwZw5czhkRg2CMwUMWQKAiMg6XfUgObJ9+3YkJiaakiMAuOOOO1BZWYmdO3dafU5lZSVKS0vNbkR6xgKGRESu86kEqbCwEK1atTK7r3nz5ggICEBhYaHV56SlpSE8PNx0i4mJ8USoRG7DAoZERK7TPEGaNWsWDAaD3dsvv/wifTyDoX7lNiGE1fsBYNq0aSgpKTHdTpw4ofi9EHkDFjD0vKrqWnycfRyvfLMfH2cf5/wuIh+g+RykSZMmYdSoUXbbxMXFSR0rOjoa//nPf8zuO3/+PK5cuVKvZ8koMDAQgYGBUscn0gNjAcNFW2xP1GYBQ/VYK6cwJyOX5RSIdE7zBCkyMhKRkZGqHKtXr16YM2cOTp8+jdatWwOom7gdGBiIlJQUVV6DSA9YwNAzjOUULBnLKQDgZ02kU5onSM4oKChAcXExCgoKUFNTg5ycHABAQkICQkJCMHjwYHTp0gUPP/ww3njjDRQXF+Ovf/0rxo8fzxVs1OBMG9YFzw++jgUM3US2nMLzg6/jZ06kQ7pKkF555RUsX77c9HNycjIAYNOmTejfvz8aNWqENWvW4Mknn8Qtt9yC4OBgPPjgg5g3b55WIRNpyljAkNTHcgpEvk1XCdKyZcts1kAyat++Pb777jvPBEREDRbLKRD5Nvb7EhEp0LZZkKrtiMi7MEEiIlLAAAe1FJxsR0TehQkSEZECJy9UqNqOiLwLEyQiIgVYsZzItzFBIiJSgBXLiXwbEyQiIgUCGvshsa39+mqJbcNYA4lIp/g/l4hIgarqWuw/VWq3zf5TpdyXjUinmCARESngTKFIItIfJkhERAqwUCSRb2OCRESkAFexEfk2JkhERApwFRuRb2OCRESkQEBjP4zvE2+3zfg+8VzFRqRTutqslojIm0wb1gUAsDg7z2zCtp+hLjkyPk5E+mMQQjhYh9GwlJaWIjw8HCUlJQgLs1/jhIgIqFvy/+n2fPxWfAmxEU3wcK849hwReZja12/2IBH5MF64PSOgsR/G9emgdRhEpCImSEQ+Ki3jYL2hnzkZuRz6ISKSwASJyAelZRzEoi159e6vFTDdzySJiMg29rUT+Ziq6loszq6fHF1tcXYet8AgIrKDCRKRj+EWGERErmOCRORjuAUGEZHrmCAR+RhugUFE5DomSEQ+hltgEBG5jgkSkY/hFhhERK7jMn8iH8QtMIiIXMOtRixwqxHyJaykTUQNBbcaISJp3AKDiEgZfpUkIiIissAEiYiIiMgCEyQiIiIiC0yQiIiIiCwwQSIiIiKywASJiIiIyAITJCIiIiILTJCIiIiILDBBIiIiIrLABImIiIjIAhMkIiIiIgtMkIiIiIgsMEEiIiIissAEiYiIiMgCEyQiIiIiC0yQbOj3jx9QeOGy1mEQERGRBnSVIM2ZMwe9e/dGkyZN0KxZs3qP79mzBw888ABiYmIQHByMzp074+2331b0WucuVePm9B/Q+eW1LkZNREREeqOrBKmqqgp/+tOfMHHiRKuP79y5E1FRUfjnP/+JAwcO4KWXXsK0adOwYMECxa9ZcaWWSRIREVED01jrAJzx6quvAgCWLVtm9fGxY8ea/dyhQwds374dq1atwqRJkxS/bsWVWhReuIzoZkGKj0FERET6oaseJCVKSkoQERFh8/HKykqUlpaa3awZ/u4Wd4VIREREXsanE6Tt27fj3//+N5544gmbbdLS0hAeHm66xcTEWG1XernaXWESERGRl9E8QZo1axYMBoPd2y+//OL0cQ8cOICRI0filVdewaBBg2y2mzZtGkpKSky3EydOWG0XFqSr0UgiIiJygeZX/UmTJmHUqFF228TFxTl1zIMHD2LAgAEYP348ZsyYYbdtYGAgAgMDHR7zu6f7OhUDERER6ZfmCVJkZCQiIyNVO96BAwcwYMAAjB49GnPmzFHlmMH+fpygTURE1IBoniA5o6CgAMXFxSgoKEBNTQ1ycnIAAAkJCQgJCcGBAwdw2223YfDgwZgyZQoKCwsBAI0aNUJUVJSi1wz290Pu34eq9RaIiIhIB3SVIL3yyitYvny56efk5GQAwKZNm9C/f398/vnnOHPmDD777DN89tlnpnaxsbHIz8936rVaNGmMtS/czp4jIiKiBsgghBBaB+FNSktLER4ejpKSEoSFhWkdDhEREUlQ+/qt+So2IiIiIm/DBImIiIjIAhMkIiIiIgtMkIiIiIgsMEEiIiIissAEiYiIiMgCEyQiIiIiC0yQiIiIiCwwQSIiIiKyoKutRjzBWFi8tLRU40iIiIhIlvG6rdYGIUyQLJw7dw4AEBMTo3EkRERE5Kxz584hPDzc5eMwQbIQEREBACgoKFDlA27ISktLERMTgxMnTnBfOxfwc1QPP0v18LNUBz9H9ZSUlKB9+/am67irmCBZ8POrm5YVHh7Ok1UlYWFh/CxVwM9RPfws1cPPUh38HNVjvI67fBxVjkJERETkQ5ggEREREVlggmQhMDAQM2fORGBgoNah6B4/S3Xwc1QPP0v18LNUBz9H9aj9WRqEWuvhiIiIiHwEe5CIiIiILDBBIiIiIrLABImIiIjIAhMkIiIiIgtMkCy8//77iI+PR1BQEFJSUpCdna11SLoya9YsGAwGs1t0dLTWYenCli1bcOedd6JNmzYwGAz4+uuvzR4XQmDWrFlo06YNgoOD0b9/fxw4cECbYL2co89yzJgx9c7Tm2++WZtgvVhaWhp69OiB0NBQtGzZEnfddRcOHTpk1obnpRyZz5LnpWMLFy5E165dTYU1e/XqhbVr15oeV/N8ZIJ0lZUrV+LZZ5/FSy+9hN27d6NPnz4YOnQoCgoKtA5NV66//nqcPn3adNu3b5/WIelCeXk5brzxRixYsMDq46+//jrmz5+PBQsWYMeOHYiOjsagQYNw8eJFD0fq/Rx9lgAwZMgQs/M0IyPDgxHqQ1ZWFp566in89NNPyMzMRHV1NQYPHozy8nJTG56XcmQ+S4DnpSPt2rVDeno6fvnlF/zyyy8YMGAARo4caUqCVD0fBZn07NlTTJgwwey+6667TkydOlWjiPRn5syZ4sYbb9Q6DN0DIL766ivTz7W1tSI6Olqkp6eb7rt8+bIIDw8XH3zwgQYR6oflZymEEKNHjxYjR47UJB49KyoqEgBEVlaWEILnpSssP0sheF4q1bx5c/HRRx+pfj6yB+l/qqqqsHPnTgwePNjs/sGDB2Pbtm0aRaVPR44cQZs2bRAfH49Ro0bh+PHjWoeke3l5eSgsLDQ7PwMDA9GvXz+enwpt3rwZLVu2RMeOHTF+/HgUFRVpHZLXKykpAfDHpt48L5Wz/CyNeF7Kq6mpwYoVK1BeXo5evXqpfj4yQfqfs2fPoqamBq1atTK7v1WrVigsLNQoKv256aab8Mknn2D9+vVYvHgxCgsL0bt3b5w7d07r0HTNeA7y/FTH0KFD8dlnn2Hjxo34v//7P+zYsQMDBgxAZWWl1qF5LSEEpkyZgltvvRWJiYkAeF4qZe2zBHheytq3bx9CQkIQGBiICRMm4KuvvkKXLl1UPx8bqxKtDzEYDGY/CyHq3Ue2DR061PTvG264Ab169cI111yD5cuXY8qUKRpG5ht4fqrj/vvvN/07MTER3bt3R2xsLNasWYN77rlHw8i816RJk7B3715s3bq13mM8L51j67PkeSmnU6dOyMnJwYULF/Dll19i9OjRyMrKMj2u1vnIHqT/iYyMRKNGjeplmUVFRfWyUZLXtGlT3HDDDThy5IjWoeiacSUgz0/3aN26NWJjY3me2vD0009j9erV2LRpE9q1a2e6n+el82x9ltbwvLQuICAACQkJ6N69O9LS0nDjjTfi7bffVv18ZIL0PwEBAUhJSUFmZqbZ/ZmZmejdu7dGUelfZWUlcnNz0bp1a61D0bX4+HhER0ebnZ9VVVXIysri+amCc+fO4cSJEzxPLQghMGnSJKxatQobN25EfHy82eM8L+U5+iyt4XkpRwiByspK9c9HFSaQ+4wVK1YIf39/8fHHH4uDBw+KZ599VjRt2lTk5+drHZpuPP/882Lz5s3i+PHj4qeffhLDhw8XoaGh/AwlXLx4UezevVvs3r1bABDz588Xu3fvFr/99psQQoj09HQRHh4uVq1aJfbt2yceeOAB0bp1a1FaWqpx5N7H3md58eJF8fzzz4tt27aJvLw8sWnTJtGrVy/Rtm1bfpYWJk6cKMLDw8XmzZvF6dOnTbdLly6Z2vC8lOPos+R5KWfatGliy5YtIi8vT+zdu1dMnz5d+Pn5iQ0bNggh1D0fmSBZeO+990RsbKwICAgQ3bp1M1uCSY7df//9onXr1sLf31+0adNG3HPPPeLAgQNah6ULmzZtEgDq3UaPHi2EqFtSPXPmTBEdHS0CAwNF3759xb59+7QN2kvZ+ywvXbokBg8eLKKiooS/v79o3769GD16tCgoKNA6bK9j7TMEIJYuXWpqw/NSjqPPkuelnLFjx5qu0VFRUeL22283JUdCqHs+GoQQQkGPFhEREZHP4hwkIiIiIgtMkIiIiIgsMEEiIiIissAEiYiIiMgCEyQiIiIiC0yQiIiIiCwwQSIiIrf473//i9tvvx3t2rXDokWLtA6HyCmsg0RERG7xt7/9DVeuXMG9996Le++9F0eOHEFoaKjWYRFJYQ8SkRcwGAz4+uuvtQ5DdWPGjMFdd92ldRi65OicyM/Ph8FgQE5Ojkuvo8Zxzp07h5YtWyI/P9/s/vDwcLRp0wYdO3ZEZGQkgoKCzB6/7777MH/+fMWvS+ROTJCI3GTMmDEwGAwwGAzw9/dHq1atMGjQICxZsgS1tbVmbU+fPo2hQ4dKHddXkylbNm/eDIPBgAsXLmgdileJiYnB6dOnkZiYCEDbzyktLQ133nkn4uLizO6fMmUK0tPTER0djUcffRT+/v5mj7/yyiuYM2cOSktLPRgtkRwmSERuNGTIEJw+fRr5+flYu3YtbrvtNjzzzDMYPnw4qqurTe2io6MRGBioYaTkLaqqqqTaNWrUCNHR0WjcuLGbI7KvoqICH3/8MR577LF6jx0+fBiXLl3CpEmT8OOPP9Z7vGvXroiLi8Nnn33miVCJnMIEiciNAgMDER0djbZt26Jbt26YPn06vvnmG6xduxbLli0ztbu6V6iqqgqTJk1C69atERQUhLi4OKSlpQGA6Rv63XffDYPBYPr52LFjGDlyJFq1aoWQkBD06NED33//vVkscXFxmDt3LsaOHYvQ0FC0b98eH374oVmbkydPYtSoUYiIiEDTpk3RvXt3/Oc//zE9/u233yIlJQVBQUHo0KEDXn31VbNEz5ZXX30VLVu2RFhYGJ544gmzJEAIgddffx0dOnRAcHAwbrzxRnzxxRcA6oZ/brvtNgBA8+bNYTAYMGbMGHz77bdo1qyZqScuJycHBoMBL7zwgum4TzzxBB544AHTz9u2bUPfvn0RHByMmJgYTJ48GeXl5abHq6qq8OKLL6Jt27Zo2rQpbrrpJmzevNn0+LJly9CsWTOsX78enTt3RkhIiCkBticrKws9e/ZEYGAgWrdujalTp5p9Zv3798ekSZMwZcoUREZGYtCgQabHjD2LwcHBiI+Px+eff2567OqhMVufEwCsW7cOt956K5o1a4YWLVpg+PDhOHbsmM14z58/j4ceeghRUVEIDg7Gtddei6VLl9psv3btWjRu3Bi9evWq99iSJUswcuRITJw4Ed999x3OnDlTr82IESPw//7f/7P9ARJpRYXNdYnIitGjR4uRI0dafezGG28UQ4cONf0MQHz11VdCCCHeeOMNERMTI7Zs2SLy8/NFdna2+Ne//iWEEKKoqMi0A/jp06dFUVGREEKInJwc8cEHH4i9e/eKw4cPi5deekkEBQWJ3377zfQasbGxIiIiQrz33nviyJEjIi0tTfj5+Ync3FwhhBAXL14UHTp0EH369BHZ2dniyJEjYuXKlWLbtm1CCCHWrVsnwsLCxLJly8SxY8fEhg0bRFxcnJg1a5bdzyAkJETcf//9Yv/+/eK7774TUVFRYvr06aY206dPF9ddd51Yt26dOHbsmFi6dKkIDAwUmzdvFtXV1eLLL78UAMShQ4fE6dOnxYULF8SFCxeEn5+f+OWXX4QQQrz11lsiMjJS9OjRw3Tcjh07ioULFwohhNi7d68ICQkRb775pjh8+LD48ccfRXJyshgzZoyp/YMPPih69+4ttmzZIo4ePSreeOMNERgYKA4fPiyEEGLp0qXC399fDBw4UOzYsUPs3LlTdO7cWTz44IM23//JkydFkyZNxJNPPilyc3PFV199JSIjI8XMmTNNbfr16ydCQkLECy+8IH799VfT7wOAaNGihVi8eLE4dOiQmDFjhmjUqJE4ePCgEEKIvLw8AUDs3r3b5uckhBBffPGF+PLLL8Xhw4fF7t27xZ133iluuOEGUVNTU+84Qgjx1FNPiaSkJLFjxw6Rl5cnMjMzxerVq22+x2eeeUYMGTKk3v1VVVUiMjJSfPfdd0IIIVJSUsSbb75Zr11GRoYIDAwUly9ftvkaRFpggkTkJvYSpPvvv1907tzZ9PPVCdLTTz8tBgwYIGpra60+9+q29nTp0kW8++67pp9jY2PFX/7yF9PPtbW1omXLlqYkYtGiRSI0NFScO3fO6vH69Okj5s6da3bfp59+Klq3bm0zhtGjR4uIiAhRXl5uum/hwoUiJCRE1NTUiLKyMhEUFGRKwozGjRsnHnjgASGEEJs2bRIAxPnz583adOvWTcybN08IIcRdd90l5syZIwICAkRpaak4ffq0AGBKNh5++GHx+OOPmz0/Oztb+Pn5iYqKCnH06FFhMBjEqVOnzNrcfvvtYtq0aUKIugQJgDh69Kjp8ffee0+0atXK5vufPn266NSpk9nv8r333jO9fyHqEqSkpKR6zwUgJkyYYHbfTTfdJCZOnCiEqJ/Y2PqcLBmT7H379lk9zp133ikeffRRu8e42siRI8XYsWPr3f/ll1+KqKgoceXKFSGEEG+++abo2rVrvXZ79uwRAER+fr70axJ5AofYiDQghIDBYLD62JgxY5CTk4NOnTph8uTJ2LBhg8PjlZeX48UXX0SXLl3QrFkzhISE4Ndff0VBQYFZu65du5r+bTAYEB0djaKiIgB1w1TJycmIiIiw+ho7d+7Ea6+9hpCQENNt/PjxOH36NC5dumQzthtvvBFNmjQx/dyrVy+UlZXhxIkTOHjwIC5fvoxBgwaZHfeTTz6xOwwE1A1Nbd68GUIIZGdnY+TIkUhMTMTWrVuxadMmtGrVCtddd50p9mXLlpm9xh133IHa2lrk5eVh165dEEKgY8eOZm2ysrLM4mjSpAmuueYa08+tW7c2fX7W5ObmolevXma/61tuuQVlZWU4efKk6b7u3btbfb7lsFWvXr2Qm5tr93OxdOzYMTz44IPo0KEDwsLCEB8fDwD1zg2jiRMnYsWKFUhKSsKLL76Ibdu22T1+RUVFvdVpALB06VLcf//9pjlSDzzwAA4cOIBdu3aZtQsODgYAu+cQkRa0nd1H1EDl5uaaLlSWunXrhry8PKxduxbff/89/vznP2PgwIGmeTnWvPDCC1i/fj3mzZuHhIQEBAcH47777qs34ddyFZHBYDDN4zFeqGypra3Fq6++invuuafeY9YukI5c/dpr1qxB27ZtzR53NGm9f//++Pjjj7Fnzx74+fmhS5cu6NevH7KysnD+/Hn069fPLPYnnngCkydPrnec9u3bY+/evWjUqBF27tyJRo0amT0eEhJi+re1z0/YKSVnLRE2tr/6/qZNm9p9r5av6Yw777wTMTExWLx4Mdq0aYPa2lokJibanAw+dOhQ/Pbbb1izZg2+//573H777Xjqqacwb948q+0jIyNx/vx5s/sKCwuxbt061NbWYuHChab7a2pqsHTpUnTr1s10X3FxMQAgKirKqfdF5G5MkIg8bOPGjdi3bx+ee+45m23CwsJw//334/7778d9992HIUOGoLi4GBEREfD390dNTY1Z++zsbIwZMwZ33303AKCsrKxeTRpHunbtio8++sj0Opa6deuGQ4cOISEhwanj7tmzBxUVFaYE7KeffkJISAjatWuH5s2bIzAwEAUFBWYJzdUCAgIAoN577tu3Ly5evIi33noL/fr1g8FgQL9+/ZCWlobz58/jmWeeMYv9wIEDNmNPTk5GTU0NioqK0KdPH6fenz1dunTBl19+aZYobdu2DaGhofUSQmt++uknPPLII2Y/JycnW21r7XM6d+4ccnNzsWjRItP72rp1q8PXjYqKwpgxYzBmzBj06dMHL7zwgs0EKTk5Gf/85z/N7vv0008RGxtbrxzFDz/8gNdeew3z5s0zJcD79+9Hu3btEBkZ6TAuIk/iEBuRG1VWVqKwsBCnTp3Crl27MHfuXIwcORLDhw83u/Bd7c0338SKFSvw66+/4vDhw/j8888RHR2NZs2aAahbjfbDDz+gsLDQ9M09ISEBq1atQk5ODvbs2YMHH3ywXq0lRx544AFER0fjrrvuwo8//ojjx4/jyy+/xPbt2wHU1az55JNPMGvWLBw4cAC5ublYuXIlZsyYYfe4VVVVGDduHA4ePIi1a9di5syZmDRpEvz8/BAaGoq//vWveO6557B8+XIcO3YMu3fvxnvvvYfly5cDAGJjY2EwGEyroMrKygDUFSFMSkrCP//5T/Tv3x9AXdK0a9cuHD582HQfUFfRefv27XjqqaeQk5ODI0eOYPXq1Xj66acBAB07dsRDDz2ERx55BKtWrUJeXh527NiBf/zjH8jIyHDqc7zak08+iRMnTuDpp5/Gr7/+im+++QYzZ87ElClT4Ofn+M/v559/jiVLluDw4cOYOXMmfv75Z0yaNMlqW2ufU/PmzdGiRQt8+OGHOHr0KDZu3IgpU6bYfc1XXnkF33zzDY4ePYoDBw7gu+++Q+fOnW22v+OOO3DgwAGzXqSlS5fivvvuQ2Jiotlt7NixKC8vx+rVq01ts7OzMXjwYIefBZHHaTj/icinjR49WgAQAETjxo1FVFSUGDhwoFiyZIlpgq4Rrpp4/eGHH4qkpCTRtGlTERYWJm6//Xaxa9cuU9vVq1eLhIQE0bhxYxEbGyuEqJtoe9ttt4ng4GARExMjFixYIPr16yeeeeYZ0/NiY2PrrSK68cYbzVZU5efni3vvvVeEhYWJJk2aiO7du4v//Oc/psfXrVsnevfuLYKDg0VYWJjo2bOn+PDDD+1+BiNHjhSvvPKKaNGihQgJCRGPPfaY2Yql2tpa8fbbb4tOnToJf39/ERUVJe644w6RlZVlavPaa6+J6OhoYTAYxOjRo033P//88wKA2L9/v9l7ioqKqjfJ/eeffxaDBg0SISEhomnTpqJr165izpw5pserqqrEK6+8IuLi4oS/v7+Ijo4Wd999t9i7d68Qom6Sdnh4uNkxv/rqK+Hoz+jmzZtFjx49REBAgIiOjhZ/+9vfTBOXhRD1fk9GAMR7770nBg0aJAIDA0VsbKz4f//v/5ket5xcbetzyszMFJ07dxaBgYGia9euYvPmzWbnm+Vx/v73v4vOnTuL4OBgERERIUaOHCmOHz9u9z3efPPN4oMPPhBCCPHTTz8JAOLnn3+22vbOO+80rXqrqKgQYWFhYvv27XaPT6QF7sVGREQuycjIwF//+lfs379fqmfM6L333sM333wjtRCByNM4B4mIiFwybNgwHDlyBKdOnUJMTIz08/z9/fHuu++6MTIi5diDRERERGSBk7SJiIiILDBBIiIiIrLABImIiIjIAhMkIiIiIgtMkIiIiIgsMEEiIiIissAEiYiIiMgCEyQiIiIiC0yQiIiIiCwwQSIiIiKy8P8Bff1KARmnFBAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Should see linear decay in plot below, indicating exponential decay of overlaps with distance.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot log decay of hopping and overlaps\n",
    "COGITOTB.plot_hopping()\n",
    "COGITOTB.plot_overlaps()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a58d034-2f6a-441e-b82a-ab560ee061d3",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Step 4: Observe the chemistry of your material!\n",
    "* Band structure kpath\n",
    "  * Plot band structure\n",
    "  * Plot COHP on band structure --dashapp\n",
    "* Uniform kgrid\n",
    "  * Get COHP on density of states\n",
    "  * Get atomic charge\n",
    "  * Visualize covalent bonds in the crystal"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8a8b587-7957-4696-a56b-28d67bb2a7e4",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Requires bandstructure kpath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "454007be-44b8-49c4-84d5-132604764dc4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Full Formula (Si2)\n",
      "Reduced Formula: Si\n",
      "abc   :   3.866801   3.866801   3.866801\n",
      "angles:  60.000000  60.000000  60.000000\n",
      "pbc   :       True       True       True\n",
      "Sites (2)\n",
      "  #  SP       a      b     c\n",
      "---  ----  ----  -----  ----\n",
      "  0  Si    0.25   0.25  0.25\n",
      "  1  Si    0     -0     0\n",
      "num kpts per path: 15\n",
      "87\n",
      "---------------------------------------------------------------------------------------\n",
      "---------------------------------------------------------------------------------------\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Path in k-space', ylabel='Energy (eV)'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get electronic structure\n",
    "COGITOTB.get_bandstructure(num_kpts = 15)\n",
    "COGITOTB.plotBS(ylim=(-12,20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "952f542a-f18c-4f69-9551-62d41f84902d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Si\n",
      "[[1, 2, 3, 5, 6, 7], [0, 4, 1, 2, 3, 5, 6, 7]]\n",
      "NN number, distance, count, and indices: 2 3.87 384\n",
      "num of params: 288\n",
      "integrated occupied cohp: (6.337609245119536+5.981016577279244e-07j)\n"
     ]
    },
    {
     "data": {
      "image/png": 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hub6wDGPICwzGEnZV3chh/3lUGyOYlo4RMnj62JupXtHdfHHPW+tZ/7f/Meurx3LJuj8O4wxHH98983p+cN8VCcd869SrU35c1aGx8/lPEJqCNGLfUKRpUb9pD+mHz05oPIkYXen7S7j7utpnlZqqpCYRPRlUoZHjnkTAaMZvNGFJE1VoeBzZuNXMruqtsY7eHuD5C36HZVrQU1m+w1NZ/uY6Vt3xLIfdNDRtLCzLQu/l5ZL06RgNz33/+MpSjq0cPnIY06fwsmXLEEJwzTXXDPdUBoSUkm2NH/HfLct4bMO1/O2yb1G9cmvMsZ//4y3e/MHfhniGo5tTDzmTkxd+Ie76o+ccx5eXfG1Qjt2yu7ZPb9LmV1YmHCOlRCtOT0nOi0Pru72Kqg5t7zpFKHgdOeR5JlPgnUauZxIeLXu/MZoANj72blh2JF47Hkvy2V9eHLSmvr0xjH3zcNoep33H9jiNHMbsp7hixQruu+8+5s2bN9xTGRBSSj6u/CcfVDxMU7AKq94k8IQvfnNPwhdQcx8vbPsrf7ziPn524W8ozC7qWpaXmc8N5/2M+695ZNCO68nL7LNCrXLNdpQsV9TjvKUb+MvraP5sB7VPrWLPspdp+O9ajMZkyvhjo6paQuPJ5fSOsIq6/YOaT7aj9CE54atuCrdcGgKsGFWhyZwVcj+ugLQZO4xJw6mtrY2LLrqI+++/n5ycnIRjg8EgLS0tEa+RREXberY0vtvxlyT4VoBEvTQFAmlYbHnygyGZ31jiwuO+ztu3f8rG+ys5fv5S3vvdGr5xcuIQ3kCZeeHRWEaCL1QRpI/P5dNn38bo4eixQgatG8oJ7m2CjpuYNCzaPttD1X3vEtq77+exQ3PhdnpRFQ3R8ZTq0Jx4XGlDEqbrTDgO6UFCehDDMEZcBdlQozqTy6pQXUPrDexJR/vFhNiyBPuO7XEaOYzJT/Gqq67i9NNP58QTT+xz7LJly8jKyup6lZWVDcEMkyNktvN57f8QPb4m6UsuR6B+955BnJlNqig+bDpTzjwkbv86LEnz9r18cud/+PvSG3n/4RdxTM8h2NAcOy/KksiQSf3Tnw3I2FAUFZfTg8eVhtuVhkNzDUlozLJMAkE/uhHCNE1M00Q3QgSC/iGr5huJTD59IZYe//0LRVB0yDTcOemDPhcpregmwz3O30Rn3VAomY9VbOXwkcOYO4sff/xxPvnkE5YtS65Nxo033khzc3PXq7y8fJBn2Dftej1bmt5gQ+ML1AV2Iem+QWqTNUgiTeD10Kt8uOUNO6dghCOE4PTHfsCsrx7bbTz1urZJ0+rySm3857u8ffMjBPc0RkkYdG8g0WvbCFU0pWye0pIYgRChNj+hVh96ewBLT60nSEpJMBS/pD0YCu63nqcJJxxIwfxJcUVOpSU59MZzBnUOpqXTHmyiNVCPLgPR30U8478DoQjb42QzJhhTZ3F5eTnf//73efjhh3G7kxPFc7lcZGZmRryGkza9jq3Nb9Bu1AHRSq+Ow10oxUrcb04iCbl1XpdvcsMjl3Lp3UvZ21Qx2NO2GQCax8XJy7/LN3fey/F3fwtPfvxzUFoW9SuS6zuo740jmtlPLNNCb/NjhYxwcrIMG3OGP4ThD6XMmDGMvsvpDXP/zN0TisLZ//0JOdNLw393CKgKVQERFriddvZhg3Z8wwzRHmzCtMLfkYWOFEaH9leP718Aioj0OonwS3P1XXhgE5+Bil92vmwGzpiSI1i1ahU1NTUsXLiwa5lpmrz99tvcddddBINBVHXoSqn7i5SS8raVEQmUme4C6n3dYTehCjJuyaH52/XhC1IP733ndqvO3InZEdYor9/ONQ9dyENXvppUxZTN8JExPo+yJXN5vY8E36Qrp1LQgkVKieELxF9vmFghIyW5NWYSoTjTNHBow5fHMxxYhkl7dROax8nFn/2O7c+tYMvTH6K3B8mbNZ65l59I9pTiQTu+lBJ/KNoINwigCAeqdNLpJjUIIqTo1t4SoKgqqkOzvU0DJBxqG2jLFTtUlwrGlOF0wgknsHbt2ohlX//615k5cyY/+tGPRrTRBOAzGgmakReoPG8JDb7KiHCdc5GL7H/k0/7XVvR3gl1JBSGPwSdn7qR6Rnf7DdMyqWjYydufv8QJB545JO/DZt8xfH23pmisrMdCxr0Imr4QRksA35ZatCwP7kl5+zwfaZh9ZvyaIQPFqQ282i4Zx9V+FKnT2wN8vOxp1tzzMoGGNgCKD53OoTedy2mP/GDI5mFaesT1pycWOpYIe6F8sgZJt0fQEAGcHjcNwV2U139CS2gvquKgyDODsowFuNTBz8eysRkMxpThlJGRwdy5cyOWpaWlkZeXF7V8JBKy2qKWOTUPk3LnsqtxfbcwoQmO2U4yfpnNrtd2smVtNU0FPppL/TH3qwjFNpxGCVlTilCcWjgsFgcjGGLbqo1MO3hmhLFihQzaN9VgNIU9RL4tdVTd+x5p88cx8calOPLS+j2fWGXnUUgZfg3QcBKKguzD67S/JBfrviD/OuFm9q7c2tH3LczelVt57qxbOf6uy5l/5SlDMpe+BFE7UVAxexhOAoWNja9R3raqe5AJ2/U6drV+zKLCr5DlKk31dMcsCikQwJS2xykV7B9XoVGAlBLinNRpzmxmFBxGaeY0styFWKskLT9tpH5pNRl3eqma2RzXaAKwpIVf33dtH5uhw5WVxqyLjoluAtyLNf99n20rPgc6ysAti9Y1VV1GU0/a11Wy9bqnMf19N/AdTjS17+e4ZMaMBT69879RRhPQ9fcb33+AtsqGIZpNcjfb3l4pwwpGGk09MKXOyprHu3KmbPpGJCk3kOi1P4nGDiZj/lN88803ufPOO4d7GnGRUuLT66n3byVktiCIHU5UFY1cbynF1mQartxL8Dk/IiSgTTJ3/VREgoubIlQmFxwwWG/BJsUcdevFZE4qTGw8SVj9wge8cte/2PzeGkI+Hcsf5yZkSkIVzTS+srHfc1GSCW8LMWBvE4Q1fhIZRpq6f+TJSBkWse1tNPUaxPq/vT6o87CkRVD3oRuJw8dSSixpYtF9/rnVHHxGY8LtTBmion1NSua6P2DrOI0c7E9xGJFS0hqqok2vwcJACIVMR1HCbbbfthYZinyyG/9xVsLUD0tanLHwwhTMeOyxp3Y3H2/6gK2Vm0dMqbu3IIuvfHgrB3//CzgzPQnHttY1s/6NVTSs2d2nY6BhHwwnoSl9GkWqKwX5TYSlGTTNgcPhjNifEAKHw4mmOfYL1XLDF6S9KrHRgRA0bBw8rTbDDOELNKEbAaQ0E6pbCiHQCedmChTStSLS1cKkQnxV7etTOGsbm6Fh//B7j1B0y0fAbI5YlubIRWLRou8FJNIMC15aAZMdy9ZSuTy6R52zReXQqcewYvvbETd/RSiYlskZB32V7ZXbMU3JxMLJg/22RgXrdq1h2RM/Z9WWj7qWHTBuFj887/9x9NwlwzexDjx5GRxzxyUcdevFPHXSL9jzVvwbjDQsZHsI3ImNrH1pxSKEwOF1ofsCMW+cikNFcQz8MiKtcFm7EGHPkqZqXefy/mAs9UR1ORCKSOxxEgJHWnKSK/3FskwCoch8SyGUcCiuY0rhsJwAJK1GFX6rnnHpC/Co4R6CQaM9qWPpVvyKTZtIUtLkdz/7LQ0WtuE0jPjjuLLTHfl4tRwCZgstu+tYf8vb1P63HLMtdsKwM9PLrRfeyz8/eIB/fbScutZqADIdJeytaeJvL/yNvxFu/HvIAYv5+UXLmFa6/4bu1u5czcW//SK6EZnzs6VyE9/600XcdeUDwzSzaBRNjSt62BO/z4/b7Y4bspUCtFwv0rT6zJ/qjVAVHOkerJCBZZhhA0dRUJ0aQlUGZNhYloUR1JE9hFqFoqA5teTChGMMUzeoeHsDhYumUrNqOzJOcr40TKafe/igzEE3oo0ZgUCgIkXYwNWlH59Zj99swOpICLek1ZVDo6mupI7l1oZXN280kYpQmx2qSw224TSMGFb8ZF1FqHi1HBz5XqofTyx4OOeSJWiqgwuPuoIvH/EtWvyNPP7Ww9z5zG1RYz/Z+jFfXvYF/nnTC0wpnjbg9zAa+fVjN6EbISwZeVOS0kIg+Nk/fkSunDBMs4tm3JGz2PPG+gjjojeVFZXk5uZGLTdDBoGaVvRmP81rK9n7wnqKLziYCd9bgqskK+k5CCFQXY4uvSYpJZZhYvi61bwVTUV1Jp+HZJkWeiA6f0ZaFnoghMPt3K+MpzX3vsL7P3usz0a9QlMoPGgyE04cnAbmRoKEbYFACIEiVdrNmoh1PW/KqtBQRd+6cWXpC/Z9ojY2w4Rtfg4jiuj7puBM86K44tu3ziwvh//s/O59KgpSCv7y3O9jjjctE3/Izx9jGFX7A9urt7J6+ydRRlMnEkl9Sy0NrXVDPLP4HHj5iQhVJMxhqq2to6GhISJUawZ0WrfWojf5u0Isll+n8h8rWLX0Lvy7960qS0qJHgiFPUU9jmcZJrovmLhpcQ+MUOIqP73X/lNBoKGVj275F2//8O9s+88KAGrX7WL13S+z+Z/vYxnDo0y+6vfP8b/v3BvXaBKagqKFrxfFi6Zx9vM3DYo0gyWtpD7z3p5NVTjwqNkRy9Id+RF9Nnvj1XIo8Ezfp3nuj9jK4SMH2+M0xEgpMawQIcMPMrHhZJkW6279HwiB6nZgBiKfBDMm5vOlN38VlevwwopnMaz4NwDTMnn1s5doam8kOy1n39/MKKSiru+EWiEE/tDIyb1IH5fH6Y9fx/MX/A6JjNncV0rJmtVrmTp1CqXjSlFVlfY9TeEWKb0xLfRGP5uvf4b5//xmv+dj6kbcEBKAHgjhTHMnDOFZlpU4hwdASqRlIQbgdQr5AtSv3Y2W7ubdHz7Ezpc+7Vq36nfPRY0XmsLMi4+laMFk9PYgk05ZQOFBg5sXGGhq572bHok/QAjSSnKYcf6RTD3rUEqPnJnyvC/TMgnp/o6E7sTfi5SSoNVLqNc9JarU3al6mZV7MhsbX0NKsysvShEKbjWbhYXn26GjfmDnOI0cbMNpCJFS4gs1d2mXKNKJQImpymsZJqGmAFse+Birw2BS3Q5mffVYPLkZTDrtYMYdNSvmBbS6oRJV0TDM+C53yzKpa67d7wyn7PS+36+UcsS19Zj2xcO4+LPf8dldL7L5yfcJ1Ee3wLAsiy1btrJ9+w7yMnMY70ygGG5aNL2zDf/Oejz9UBaXUmLqfXtlLMNETZA03qfR1HPcPthNvroW/nP2bVR+sLFfauPSsPj8wTf4/ME3AHjvJ4+QPi6Xk//xPQSCjLI8sqeW9H9CMTACITY/+T4blr+BGUzwmUpJW3k9B197Juklqf+9mpZBINQzmVuhr07ibeZeOpPDc12TyHXFNi7Hp88nzz2JyvZ1tOu1KMJBvmcqhZ5pKMK+/diMTuwzdwgJGu0Rgm9CCJwyixAtyI6mc5Zhomgq7buaeOvLjxCo6b6gmQGdPW+s4+ub/5LwODkZeVhJ9P3KSY/OiRnrzJlwIGX5E9hTVx7RE7AnbqeH/MyCIZ5Z3+TNLuOEv36LqWcdwjOn/jruONM0MfwhSKI1Yfummn4ZTonK0ntiWVZCeyfpB999eEIONLTytynfQW9LjdewraKBp46/uetvd2468688hUBjG9KwmHbOYUw86SDqPy+n4fM9ZE8roWDeJOo/L2fT4++CUJj5laOQwEsX/oFdG1bz93nX0F7RQLCxHZTk3mN7VeOgGE4hPVI8VwiBlGGjqCfhqkdBk7ELE50892SynONxqYkV6T1aFlOzjkz1tPc77OTwkYNtOA0RUspweK4XQqg4ZTYSA5MQWx58m93Praf6jW3hNha9aNpaTe2anRTMmxT3WKctOpM7/hX/xqooKofPOIK8zPx9ei+jGUVRuP68/8f377k87pirz7iW5/768hDOqn8UHDQZoSoJw2V95amERQsluj/YdUNMiqSHJR4oFKXTYZEQpR8VgFue+YhPfvcctat3oLf33fNvXwk0tPHRr//V9feae1+Jfi9CRPx+P/rlP7v+bcoQDevKu8cm6X1LK0o+mT9ZTMuMme8nhNJxDoXXWdIkaDXTZtYQkm241UwKPTNSPh+b+AhVGXBem60cnhrsT3GISFipIgSKcKDhpW1jM9Wvb41pNHWy8ZG3Ex6rOLeUS0/6Vsx1nU8t13zxx8lNfAxy8sLTue0bfyLDEy6FVpSwb8TlcPGDL97IN0++cjin1ydpRdlM/9LihLICLaH2mDdEKSXteoB6fzP1gWbeveReXj7sl+x89IOkE7FFAg+JpKNzkAh7nWId3zAMdF3v09OiOpIT1gw0tXH/xG/x33N/S+X7GwfVaIpL748uhUntQlUYv2QO6eP2vVlzLKS0EobzhRAIoSKESrNRToOxnZAM6ztlOlMTrrSxGY3YHqdBxrRMdCOEaSbRJ0ySVGjC1PsOw11/7k9xOdw88PLdhIwgnY/ExbmlLPv6ncybvH+XAZ+1+DxOWfQF3lj9KhX1e8jNyOPEg04hwzs6dGWO/9Nl1H22k8bNlTHzhUxpUetrotCb02V8SClpDrYT6mXEt27ey4rvPETrlr0c+POzEx5XCIHq0DCCkfuQEH4M6zCaDMuAUFgN3+FwdFR7SoLBXkZNh6em91mvOrSEOVI9eWTRDbSV1yc1dtQhBEJVOGrZxSnbpZSSYCicCJ6seWd1Ne8VqMJJpnNgzXkb/JWs2vMfAoaPsuw5zCs6oesBxiY2QhUp8DjZyeGpwDacBgEpwyJxlmURDHWG5/o+4YUiqH5vS5/jpnxhUZ9jFEXh+2ffwNeXfpu31v6Pdn8bE4smc9iMI/eLfl/J4HK4OWXRGcM9jX3Ck5/Jlz+8lTX3vMLa+16hefveqDEVbbVoikqeJwspJQEjFGU0AV3ekY2/f5nxZy4gZ8HEhMdWHWFVbzPUI6G5h9EUuWuLUCiIoqixPVpKOKQlJaiqiqKEy+6TvcBvf2ElLTHe+5hBSsYdPYuiRVNTtDuJP9SOtDrDs32bTpY0CFjhDgcOxcP4tAWoYt+KJ3QjyEOfXU9FS3f7n0+rXuCFTX/krFk/ZE7Rkn3a7/6A0FIQqrPsa38qsA2nFCKlRNf1cKk1MqJaTgiBkGpXEngsFKHhq2hKeAxXbjplx81Nek6Z3izOOOycrvm9vvplHn3jQTbu2YDH6eWUhV/gwuMupTRvfNL7tBkZuDK9HHLD2Rxyw9k8tvjHVH8cHeLd1VJNja+RXHdmR9Jv/HwmoSlsW/4Oi/ownAA0pwNFU7F0A9OyQCS+AccK23UfOKxRJQVJeZksw+Dlr9/F5ic/wAoNj+7SUFL+v7U8e8YypnxhEZNPP5jMiYX7tB8pJboZDHv4Os4BgUD2kWzWZu4l01FEprMUr5Y3IK/F/auupK59d9Rywwrx1Prf4NYymJq3cJ/3P5YRqtJv1f+ofZi24ZQK7E8xRXSGITpvELEkBhQcxPrIpZS072nkkenXE6hvi1rfvQPBmc/8aJ8uXJZlcdPfr+Wqv3yDDze+R31LHXvqdvO3V+/lCz8/jk+3rez3Pm1GDrMuPpZ4Nz+/EaSirbajJUaC/CTDonlDZdLHVBQFzeVE6bMlTHLna0LjqnOMYbD8gO+y8ZF39gujqZOdL33K69/9Px6YciUvXHwnui/5PK7OB7pgIIihG1GniehyFwKy22MupcRn1mESoMg7lzRH/oCMpq31K2IaTT15YdMf93n/Nqln0qRJHbluka+rrroq5vg333wz5viNG/vfYHwkY3ucUoSu9w6BRN/EhBCo0onExMIELNormlh75yts/sf76K3xy6eLD5vO8X+5nKKD981l/+S7j/L0e08A4byrTsINPf18565LefO2FbidiRvF2oxMZn9tCat+/xyt5XUxBTKho9Iuxn3PkhZBU0c3DVreX8eT825g1uXHM/Oy49E8fWsaJM6DTm1OxVvX/p2WnTV9D4yD6nUy88tHoWgqJUfMZPp5h7Ni2dPUfroDxaWxd8U22vaM0Hypjg96178+5s2d7cy68Bi80wrIPm46ikPtNVSCERYZDfUWw43xlYT15GTYcyjBZ+0lJFuRWGQ5y1JSxv7urkf7HNMYqCKgt+J2ZAz4eGOOFHic+usrWbFiBabZfb9Yt24dJ510El/60pcSbrdp0yYyM7vzRQsKRp68y0CwDacU0JnPFEmccIgQCDQUNKRp8fgBiavbDvv5l5h/xSmkFWUPaH7LX7mnwy0ffZezpEVTWwMvrvwPXzzi/Bh7sBmpSMPCt6kas9nP6Xdfxf9uWE7Nmp0xx/qMIOkOT4TXwLRM2nV/91lhQfOWKj684VG2Pv4+p710I86MxMZ0fCdE/4ymvrwZlmWx/sHX+7VPAMWhUnDQZOZcejwHfvukqBy/I391YcTfez/Zzuq/vIjuC9K0pYqaT7b3+5iDgSIEU4smkJ+ZC3WSir+8A5bEOS6LidcchyPHi3CouMdloViAYaFnOcCtRn5JkjjGk0BKsNAJymZAkOUcR4ajKCXzbw81JzWuJVhvG04xEFoKQnX9NIB7Gzy33norU6dO5dhjj024XWFhIdnZ2f2d3qjBNpxSQKyk1750bAAq3vq8zzEbHnyTI37+5X2aVyet/hZ27k188dcUjU+2rrANp1GAlBKkpH1tJfXPfoblC3s7zfYQC+fPp2n8BHZu2EbVzoqI7dpCPtIc7q4cFyklPiMQbUrL8H/qP9vFyv/3T46485KE81FVLeKpNEz/PU2aFvtyVPHe5/zvivuoX584zBMLoSp8+YNbKTp4StLbFB08haUPdIciGrdU8e6P/0Hzjr040t20ltfTuqu233MZKNNLJpGbnt1tYFqSzIPLyD9xJmadD6vBj2diDkqoo9+cIpC9jCaBghSJQ6KmDJDjmohHy0VNobp3ujObel95n+MyXWPLOzESaWmJ7InocrlwuVwJtwmFQjz88MNce+21fT7kLFiwgEAgwOzZs/npT3/KcccdN+A5jyRswykFxD6J+r5xrFr27z7HtJYPvNlssm52W1V2ZBPc3UDbqnKC5Y2Y/hBGY7eqvKWbGC3hvJfsvBxmHzqP6t2RUgWmtKjzNZHnyUYVAsMysRLE2aRpsenvb7PoV+cn9DopioKiKEnlKPW1j95s+88Knjv71n61Tekkb3YZpz56TUKx2GTImV7CGU/dELGsecde1j/4OmbI5IBzD8eVk8Z7P32M1vI60oqyOfwXFxCoa2XjY+8ghGDmxcdSfPh03vz+33D/cx2HfPsc8mdP4JM//pe9K7d2e4HivE+vy0NeRqRquHd6IQUnz+76W/E48EwIdwMQQmBpSgx3oOg+RlQFpERikubMxamlPmR/9KSL2fXZjxKOyfWMw+1IrES+vyJUEW72PZB9dHzpZWVlEct//vOfc/PNNyfc9t///jdNTU1ceumlcceUlJRw3333sXDhQoLBIP/4xz844YQTePPNNznmmGMGNPeRhG04pYDOBLienicRqza7B06Hi7pPdw3B7CDdk8HM8bPZXLExpigihHV3Dp85ttsitAfaWb19FYZpMLNsDoXZqQlBDAXtqytofnNL+L5nSYyWSBV6sz0yx87hcDB+wnjKd0Y+4Ycsg6r2OjyaC4cS++cfvoGGQ7hGu59HD7iGqecfzoFXnUL2AbGFDx0OJ4ZhYJqd+TRx7s69EEKgaRqKosR8AHnhy7/vt9E04aT5nP7Etbiz0/u3YT/ImlzEEb/4SsSy0x+7Nmpc2ZLICtgT//ItSsv/y1G/vgiAmRcejZSSxs2VPLnkZ/hrm2PqcuVn5GBJGdGkNefIKWFZgQ4hUVdxZsTfsZLPwtclNVy80iPnTUqJRQhN0wbFaAKYknswxelTqW7bFnfMGTN/MCjHHgukMlRXXl4ekYPUl7cJ4IEHHuDUU0+ltDS+hteMGTOYMaNbUX7x4sWUl5dzxx13jCnDyXYxpIhYYQaBQKAiUBAoqIqKQ3PicXlp2VZLemnffacyJ6bGbf3NU66MazSpikpxTgknLjg1JccaaRimwe+fXsZR183nG3/4Mt/608Us+dEirrn32zS2jtBEYMDy6QQ21dH6/q6w0QThqifdhF7tVmSvCjOpm0yfdQDFpcVAtFfUbwTxG9GVWeFWLFbEuRKob2X9Pa/xzwU3UP7K6phzFULgcDhwudw4HM4O71Fio8ntduNyuVDV2LpNn/7pv+Gee/1BEZy8/OpBNZpSjRCC3Bnj+NraP3DEL79C7sxxaGmRNzJNVelpQappTtwlWREq7qrbEfGRC0OCKaMMKBG+GiFQQSrosh0pgnhc6XgcqW/r0pNvLvozE7PnRS13qG4umPcLJubMH9Tj24TJzMyMePVlOO3atYvXXnuNyy67rN/HOvzww9mypW99wtGE7XFKEaoarmrpXV0nECiKisPhQAjBrldX8/Klf6a9qjGp/R7+s9TkHH3h0C+yuWIj9794F6qidlXWCSHISsvmvu8/gkPbN1G7kYyUkhse+C4vrnwuwiNoWSavfvICm/Zs4J83Pj/iFMODW+sJbq4HAcGayKTaWB4JYogZKorC3AUHMmHKRKorqtiza09EOE2J0fJExmt9LCWqKXjnS39h+gVHkDV3PBO/chiugsgkXiEEqqqiqiq6rsfIfQrjdMau1rMsi9evvI8ND72JGYjfDiQWQlU445kfkV46OptXe/IzOfQn53LoT87FX9/KY4f9iJbdtUjDIhAKRuRNCke0yrY0zYjEbwGobTpmVvzKSAFkuPKHTLVbVRxccvDvaAnU8knli4RMH2VZc5hZcKTdR60PhKog+pT+6GMf++grWb58OYWFhZx++un93vbTTz+lpGRsteixDacU0ql8bFlWl9Cgy+Xqepre8eIn/Pv03yS9vwPOP4I5l6QmqU4IwXXn/IQT5p/M4289xOfl6/C60lh68Omcc+QFZKVlp+Q4I41VWz7mhRXPxlxnWia79u7gsbf+zrdO/e4Qzyw+ofLmsNEEIMHs1d4klrtecamYPWQIeo7JzMokMysTGbIor9jTtTw3KwdMSZuvR65UnPBOtjsdp+pASkn5kyvZ86+VbPjVc8y/4wImXxI7xOtwOFBVFdM0u4xWp9MZV7nesiweWfhD6lbvjLk+Hu68DGZ+5WiOvOVCnOljQ07Dk5fBBe/dwlvXLmfzk+9T29LAxIJxXevN1iBW0EBxdV/CQ7XtuIoiHwAUv4lUdax0R5fnSYrOkJ1EKAxLq5NMdwFLpnxtyI87mkmJAKbs//aWZbF8+XIuueSSqMjKjTfeSEVFBQ899BAAd955J5MmTWLOnDldyeRPPfUUTz311IDmPdKwDacU0/nE3fnvniGIl76WhLibgKypxSz++QXMuij1MeGDpi7koKndyrxSSlZs/pD/ffYS/pCfA8bN5MzDzyXTO7gu+6Hiqfcei/Cw9caSFk+89fCIMJykaWG1hQhujiwI6B3GUhwqQlORRvd7Ur3OiDwnoSmginCopoNxZeOorK7q8gKpikppURE7y3fjDwbiNvnNdqd35UN1zUWCHtR576q/sf4fb5AxrYjJZx3C+KXzUHpc3HsmfcdLAO/kkz/8p99GE8DXN/0Zd+7YK19PK8rmtEd+wJI7v0Hjpkra39xO4yOfhfPcTIuWz/aQdcjErnCd3ujDaAmgZnQ/rAlAazOw/CaWR8X0KuEGzHQ82Dm9w/cGbUYFr732Grt37+Yb3/hG1Lqqqip27+6udg2FQlx//fVUVFTg8XiYM2cOzz//PKeddtpQTnnQsQ2nIaLqo82JVcE7OOynX+KIXwxMfiBZGlvrueLPl7B6xydoigYCTNPk9n/9mlu/fienHnLmkMxjMKlqqIhrNHVS01Q9RLOJjZQSa287VoMPK2Qig5Hz1dLcmL2UorUsL3p9a9ffQlPQcjwYjf4e27kwWgNdETxvVhoHHTiPdRs2EAwF8QcDODUn0ydNpbmthYamRhpbI8OCmqLiVKNDuH49QJsePpbvnc8R729i0/I3yTtoEqf95wY8hckb3luf/YiPf/MUe/dBL6nsuLlj0mjqibcgC29BFhw1i7oFk6i4620COxtoeHcrnsl5OAvSuwyl1vVVpM0swpnj7RI8FYT7AZpOE0uxUBUHDs2JqmgjoumrlJJPyv/H8+vup669EqfmZvGkL3DK7EtJc42NB7hUILThCdUtXbo07kPVgw8+GPH3DTfcwA033BBz7FjCNpwGmUBTO+v/9hqf/PH5pMbX7sMT974gpeTbf/4a63etATq62XcQ0oNcd/+VFGYXsXD6YUMyn8EiL7MgoccJIDt9eHNizMpWZFOHanyMC5SW6SHU0IrskRCuODUceRkYLb5wsjigujUcMwtx5KUT2tsKUuIqy8FoaKf5/R0oQHZRLoelHUJDUyPV1dXoho6mamRnZJGVnklgy6aIpHG36ozqbxc0Ql1GUyedc6tbvZOnl/ychT87j8KDJpE7M34PRMswePjg66lf17e2TyxyZ43nnJf/3z5tO1rJP30OeafNJrCjHtMXJJgbgooAcpsPQjIsiNrQjFGgoLldCAmWQ2K6ACERQsHtGjleJssyuf1/l7G19tOuZX69lZc+X87/Nj/KT5Y+zPic6cM4w5FDWI5goKG64TeUxwK24TQI1K3fTeOmSpp31nD/uMv6VRnkzh2aaqCPNr7Hmh2fxlwnkShC4d4X/sx93x/dhtNZh5/H8x//O+56RVE498ih8fDFQgb0bqMJEFp0volQFNzj8ghU1EcZT86ibDIWT0LNcKGmu3CWZMX0Ioy/xgrnxLgdtH1aTu2/PqNwTQVrP/qMA8ZN7jKO8jNyKG/s9sDF2pfPiG4NJKVEtwx0y8S3sZwXL/wDAKVHzeSALx1Ba3k9Tduqqfp4C6t+9xw7X1iF4Q/FTnTvg8IFkzn0pnOZfs7ifm87FhBC4JmSj09vRDEsyElHzkkDHTTV03FzFcTq5OfU3EM93YQ8uvLWCKOpJ7oZ5LZXL+GPX3rX1phj+DxONtHYhlMKqV29k1cu/ys1K8M6JfVyF4YY18dWkRzy43MGY2pRvPLpC2iKFuFp6olpmbyz7g2CegCXY2RdbPvDUXOWcNiMI1mx+YMoOQZVUcnJyOPiE6Jj90OBtCzMhkjPjVAEaroTsy3S2FZdDryTijDa/JiBEFpBGs7iDLyzS1A8fVdDClVB9YarqzIWTiBj4QQA8t5ez6tf/D3jc4vJTsskNy8PfyBAnb8JAKOXp86SVtQygKCpY8aQu6h8dyOV74YbfDbIch4/PHGLob4Yv2QuX3r9FwPax1hASknQ6E7qF0KAEywMVJxIZFT3AlVxoKl96/UMFZZl8u72fyccEzB8vLftWY6e9sWhmZSNTRLY5meKqN9QzqOH/ajLaNoXig6ZSu4B8cXFUok/6ItXeN6FRBLUk+/CPhJRFIW7v/t3Tj/07Kin1rkT5/PYj54lP3NoWzxI00Jv9aM3+7ECetS34Mh2IxzRP02hChzZaeSeOZfc0+eQvnBCUkZTIsYfM4cvvPH/CC3M5eNNn7F6xwbaDT8TMovIcqUTMsPz68xxiJXqYEorptE0GCy58+tDcpyRjiVNYimDSgxMAkjMrt+3EApOhxe3M31E5DR1srNhPabVt+TEhzv+MwSzGfl0yhEM6DXgJsE2YHucUsYLF/4BKxTbe5MM+fMncf47yUsVDJRppTMSttsAyMvIJ909+hNvvS4vt192F9ed8xM+2Pguhqkzd+J8Zk2Y2/fGKUZaYaOp654XQ0tJqAqu4gyMlgBGawiscJKvVpKBa2ouakZqvQYF8yZx+uPXYQR1Vt7xLB/87HFagu3kujPJcWdQ52ukwJuD7FCu7t0sOpYHajA44tpzB9w+ZbRjSRO/0UjAaEYhtj6TxMIk/MDjUjPwOGKHb4ebgO5LapyehHG1P5ASOQLLNpxSgW04pYBAQyt1a/atfUr6uFwW/fBsDrr6VESCUu1U88UjzucPz9yKYcb2FChC4cLjLk1YPj7aKM4tHfYmxoY/FOko8GqI9miDWygCR7YHLcuNkuNBLc0Y9Juf5nKw6Pqz2PP6Wva8tZ4aX7dIa3V7PVmudDyaC4/mishzildxk5I5KSo57kwmFY5De6+KXbe+gmdyHtlLDsBZNPqN+v5gWAEaAjuwOrKXHCjhzgQJzgun5h2RRhPApLw5SY2bnDf0Dzg2NokYO3fFYWTPu5/v87bBmlbevfbvPHPiLwm1+vveIEXkZuTxy6/+NqxsLiITkhWhMGfiPC458fJBvSnub0gpkaFe3hmHivSocYOmQlNQC9OG7OanuRyc/cJPOeJXF5JW0t0SKGjq1Pga2d1STX2gGbND5LV3xV0qEQgWls5i9kFzyJ43DmdhOq0f7qTmiU/Y/O3HqP7Hx/vN+SmlpDG4s8toAjAJJvzsNcWFpsRXDR9uvM4MJuX2bTydOe87QzCbkc+Aw3QpSC63CWN/iikg1BZdZZQsnVVSle9t5LXL7k7VlJLinCMv4P9+8CiLDuiunMtOy+HQGYupadrLou/N4KCrpvKT5T9gW9XY6jU0lEgp0c0A/mBz7AHZLkh3RBlPwutAm5ITs73GYKK5HBx64zlcXn4fV9QsZ/alx3U3gyWsLh4wQ+iWgSTsFRoMpuWNxzUuE0deuHy+y0joqMRreH49ex/8kPY1FRgt+/4bHA0EzRZMGRmystDRpa/LgO0ZPtUUJ2nO/KGeZr/5ztF34FDih56/OP+7pDlHVjuk4cI2nEYOY+pTXLZsGYcccggZGRkUFhZy9tlns2nTpkE/7vijZu3TdkqPqhfFEux59hPe/97fKX/+U6w4IbRUc+TsY3no+n+x8k+beOU371OaN56PN33A3qYqAIJ6gGc//Bfn/OpkVm35aEjmNJawpElbsB5fqAndCsROyBcCMp1Q7EXmuqDQizYtF21yDsI5fNF0oSh48jM56b7vcPA1Z6D0MuB0y8RvBAkY/WzE2wcezcWs/MnkpmdHiDt2zcupkjajkIy5JegVzTQ8t5aqP79J/TOrB5RnOJIJWe0xl1uECNGCSQBL6jhVL+nOQtKdhaOihD83rYRfn/EsMwoXRSzP8hRw2eJbOG3ON4dpZjY28RlTOU5vvfUWV111FYcccgiGYXDTTTexdOlSNmzYQFpa2qAdN3NCAd6SbHxVTUlvoyBQFAWBIM3hRlVUpJRsXf42Wx94i7SyXI775/fInTdh0Obdk3RPBn9+7ndsLF8fVbZvWuFeY9+/51u8cdvKMdkMeDCQUuILNmHJjpu5AFMxUC0tqlQcCCeKuzW0TM+Iqn5RNJVjf3cph954DtufX0WgoY11D7xGw+d7YhV27TNTc8aR487salmkZbq72ol0IlSF9BlFCGcvL5cE34YqjNYABRcsRDgT5/6MPhJ90LIrGdztmIgqRtdlPTetmOtP/D98oRbq26twO9IpSO+fjMv+gJ0cPnIYXb+wPnjppZci/u7s6Lxq1SqOOSb1fd96cvpj1/Lkkp8lHNNZkQTdYYd0pydyWUcYwlfZxCun3c6ZK36FtyR78CbeQSDk58l3HokymjqxpEVdSy2vr36Fkxf2v0P2UBLSg/z7wyf45zsPsbtuJ+nuDL5w6LlceOzXKc4ZuguyaelR4RVDC6GGtJg6OxD2powko6knnvzMrqbT869Yyqd/fpHP/vICbeX1YaNvH8QsIdwMONeTiWGZEcUIvY0mAGdhekyjSHFpOHIz0Dwemv/zOcKh4JySh3tGPsoweu0GiiUtWvVq/EacMG8PVOFAYegb9qYKrzMTb0dYrjXQxGsbnuTdrc+jmyFmlSzk9HlfY0Lu/qsi3ilHMKB92IZTShi9V5QkaG4OX2xyc+O31AgGgwSD3VpFLS0t+3Ss8cfM4dzXbub5r/yeQG3sfQgim/46FS1qWSfStNBbfGz+vzc46P8NvvjbnrpyfMHY4YBONFXj893rRrThFAj5ueIvF/HJto8QQiClJBDy84/X7+Op9x7hb9//FzPGJ1fNM1AMK1oDSyoWQacPp+5BSBFhQClOrUukcqSjeVwccsPZHHLD2RhBHdWhUv/5Hj65879s+dcHWCEDZ44XX2VT1La5c8ooPWIGlm4y9axDmHbWYeitAYJ1rTS9spndt7wCioIViA67OfKjQ3eKx4mnLD/cl61jndQtgptr0fc0k3H8VBTX6LvUtet1lLd9gilDgCDHNQ6BEteT5tXyx4SXbcveNdz0zFcI9qjc3FW/iZfWPcolR/yIcw7+1jDOzsZmDBtOUkquvfZajjrqKObOjV/OumzZMn7xi9QoEU84/kC+s3c5ez/ZTtWHm/jP3/Zy2bP3sf6B/7HtuRW0bq+J0PBxqPE/fpfqxKU6KP/TWzS/soUJFx9G2UWHo6UPjvKvU+v7hi2lxOkY2Tf2u1/4PZ9tXwFElsmblkl7oJ3v3/dNXrj5/UGTWZBS4jPqaQpWoOLErWRH3czCxlM7iqUipILbkY7qdMb0sIwGNFc4dJs/ZwJL77+SpfdfGbF+/YOvs+OlT8latYPvfv4EmhZ93jsy3Dgy3KR/u4CswyZS9bcPaX5vB5ZuRuRWKTGeuN2luRFGUxcSMC38q6twTcpByXKPGgMqYLSwq/VjJJ0eYElrqIYMZxHI6PfqVrPwanlDP9EU4wu18ZOnv0zIjC28+/f3b2NC7nQWTTpuiGc2/IR71Q3sGjHQ7W3CjFm/3dVXX82aNWt47LHHEo678cYbaW5u7nqVl+9bw9GeFB08hYOuPJX00lwyxuVx+M/O56KVt3Pp1r+QM3Nc1w0ylrdJIMh0puHVXKhCQVjQ+nkl6296hndP+j2h+rYBzy8WZQUTmVA4KXbuTQemZbJz73ZeWPEsoRQnBKeCoB7gn+8+lCDcaFLZUM57n785KMeXUlLr30KVbx1+sxFd+uN7AARYqompGaiu0Ws0JcOcS4/nC49fR96s8TGNpt5kHDSeA/50Hoes+iHT//QlhFvrEgq1dDPCIFbT3SiO6NCdcKg4SzJxFmYgJOg7mwiuria4LbLf30il1r81qpDAkCGag5UEzBZMy0Cg4FDSyHZOIMtZNia8Tf/+5P64RlMnf3v3liGazchCaCIFVXWj/xwZCYxJw+m73/0uzz33HG+88Qbjx8fvzg7gcrnIzMyMeA0W7tx0zn/vNxz2iwtIL8vHilFjleZwhw0m0cOokuFX+7ZaVl/zxKDMTQjBFad9v482LIIXVjzLtfd9hyU3LBxxVXa7a3fSHkhsWKqKxtqdsZuKDpQ2vYYWvbLr76DViiWNhFpDrhEsUDgS8EzNZ9od55B11FRQBaHayO9XcTmiPl+hKTiLMrryQXp+vla9n9DWhhGt/ySlRYteRayEcAsTn9FEU6gSU1rkuafg1kamMvi+8PaWvturVDRtH9Hf32BhyxGMHMbUpyil5Oqrr+bpp5/m9ddfZ/LkycM9pSicmV4OufEcvr7jr5z+yk0R/h0FgUPR4l4EpWlR8+I6WjdVx1w/UL54xPlcfcZ1QLgBbowZYJjhvJOmtka++YevsKN633vzpRpNSSYMI9HUwUmgbQrtiTpWi1EJyJgXelU4cGnpgzKXsYRrfDZl1x7P7Ee/zsRfno4jPz0s4QAxm+epme7YoTvCyfeKlFh725AtgRHpfbKw6LtcUWLJsdeKxB9KnGfZyf5oONmMHMaU4XTVVVfx8MMP8+ijj5KRkUF1dTXV1dX4/UOnyN0fio46gAO+uaTrb1WJX0LtcjjJSsskNyObdafcy+rT76X22bUpvYAIIbj6zOt46dfv8vWTvs28SQfFHWtJC93U+ftr96fs+ANlQuFkCrOKE44xLZMjZi1J6XGllDQFKgiarVHrdOmj0dhJ0GpGdoQQhVBxaxmkuXLHjKdgKFBcGq6iTAovOQzPrCIQYLRGh0NVrzP6cxUCR54XZ54XxeuAkIlsDiIrW5FtI6uRtYKKKvrOJXQqgyexMlzkphX2OUYRyphqBZU0HXIEA3kxQit2Rxtj6lO8++67aW5uZsmSJZSUlHS9nnhicMJbA0UIwWF//CqH/u4i0ibET+xMc3tJ96Sh9rhY+D7fy9Zrnqb8jtdTPq9JRVO4/ryfUppXllBEz7RMnv/43yk//r6iKipfP+nKhOvnT17I3IkHpeyY1b7Pea/qPlbWPhrXiDVliFazmjp9M35ZT6a7AJdj6NqojDVUr5P8cw6i9PvHkXfOfJSsHgUTIraMgSPXjXB0h+56fvayMYDlGxk5e+16A+VtnyCSkBXIdpUNwYyGlrMXXN7nmHnjjxiCmYw8OuUIBvSyDaeUMKY+xa7WA71el1566XBPLS5CCGZecQLnrL+Nk9++KarqwaE5cDtdXWO76LhJV/z1XVo/7R0iSg1tgda4idY9x/zhmVvZUjH4Cu3JcOGx3+DLx1wKhPOZgC7jb1LRNP5w+f+l7FiVbWtZV/9fAmZYfiJgtvTpAfRoOQnX2ySPmu7CM72QzOOmoRV1hzx7h9+EQ0VxRofAJWA5FYw0DSOkE2r2ofuCwxK+s6TB5qY3WNvwHJW+dTSFKjAT5McVembiVL1DPMvB56jppzMue1Lc9aqi8e1jbh6y+djYxGJMGU6jGaEo5C6YyLjzD+mqIAJwO10Jb8bCqVH5fx9gNKc+HDmleFqcXKdupJT830t/4Yybj+OGB76Hbgxv3oUQgp+c/xseuf6/nHX4+Rw89VCOmXsit136V/75o5fIz+w7FJAMpqWzqSnS29ccrE7oRVKERoajKCXHt+lGaArpR00i47gpuKbmQa+HD8WtRf2GJGB6VSyXEr4Kduk/mehtASyjVzPmQWZb83s0BHd3zU5i4TOaw216eszdqaQxLu0gCjzThnR+Q4WqqNx23lPMLDk4al2mO4dfnPkQquKgLbBvenujmYGG6VKhPG4TZnSImuxHzL3tXHw762j4YDuoAi1O3pPiceAs8KJ6nQS317LhKw+SuXgyJd84HNe47JTM5UtHX8RD/+vbQ2Na4ZvMfz56inR3Gj+7aFlKjj8QDpy0gAMnLRi0/df4N3cIE3YTMFtoCOwm1z0BKWXE96YIjdK0+Shi9Co7j2SEEGh5aWh5aUjdJLihBhk0O9ZFj7dcStjA6rXSwsJUDQIhH0IXqIqGU/OgqYOnXxYwWqgP7oixRhK02gla7bjVLGZln4RTHfsh3gx3Nred+yQ76zayatebGGaIvPRSPtvxMT985GIMS0cgOHTqEi45+loOKDlwuKc8JKSiKk6YtuGUCuxPcYShpbk4/N9XsfDBr1N4/CyEI/pGq6Y5cE/IQvH06BknJS0f7mDL9/9FoLwxJXOZPm4GV37hGoCE+k7dU5A88fbD1LXUpuT4Iw0pJVsbPuTfG3/FO7sfjOkJbAntpaJtLa16DUGjDU24yXNPZWL6YbjVjGGY9f6HcKi4Zhei5HoAsPTI0JsEpEOJMppMYRJy+DEVHUTY62NYIdqDTbQHGwgYzYTM9pRXdIU9TYl/XwGzGQtrzBtNPZmUP5NzF17BkhnncNfLv+KlNf/EsMIebYnko21vcPXfz+azXR8M80xt9jdsw2kEomgqJWfM59DHv8W4yxZHhR6cJeEbcNRF1JJYfp3Ke95N2Vy+e+YPufXrf2Ry8dSkxpuWybMfPIllDW2eyI69W3nwf3/l3pd+z+trXkQ3UxsylFLyfvkjvLHzPup8OzGt6HYgnehWgIbAbqp8n1PgOYAcVxmqYjdGHkqEQ8U1LQ/3ghK0Cb10jgQR4XAI34h1LdC9vgNL6oRoot3cS0uokqbgbur8W/AbjVjSxJIDD+lZ0kjisYQxKT+QDMue+wFtgdi9+ixp8vOnvt3l9R7LCEVJyctm4NihuhFO8VcPpfofK7ECOlgSNc2JoiUO9/g2VtO2uoK0uSUD76YtBGcf8SXOWnweL6x4luvuj1+11snt//o1D732f1xy0re45MTL+8yTGgi+YDs/ffj7vLH2JRShIISCaRnkZRRw69f+wqLpqanA2d28mg114ZwmicQXagWKie8pEGQ4CklzxO+TaDP4CIeKmqUiHSqy3hd3nKl0GMJRRlP0DTtotdHcXtkVqnUqaeS4JpLlHNcvj5BuBdjr20RDcFcfwrMgUHCp+5/mV31bDev2rEg4pj3YwvtbXuXoGacM0ayGCVVEPUTv0z5sBoxtfo5wXOOymP3QxWiZbgBEjERXABSBa3wW6XOKSJueT+1jH7P7lpdofnsLch+71vdECMGi6YclfWPY21TN7U/+iuvvv2rQvE9SSq772+W8te4VIKwt1ekJamyr58p7L2Zz5YYBH8evt/FZ9fOIHj8XS1o0+uoSbjc9+9gBH9smNQivA1GYBm6tIzNcRohnWiLaY6ETLcYYMFtoN+oi8tuCZht72j9lXf1/WV//Ilua3qQxUN6l2xWL+sBOPtz7INta3qExuKerAjjO7MlzT0ZTBqdP5Ujms53vJTXu3U0vDfJMbGy6sT1Oo4CMhWUc/MEPqP/vehpe+ZxQ7xwmReCdlofijiy5ttqDNLywDr2hnfyzDxrwPIpySlgy70TeXvt6Uq5xieTFlc9x6iFnsvTg0wZ8/N6s3rGSDze9HXOdJS2EZfK3V+/i1kv+uk/739u2gze2L2dT7fsUZ41D6eU5a/bVg5RkpxWgCKUrIdyppDMrdym57on7dFybwUG4NERBx4NHyMAMxA99SWkiiQzHmlYIv9nca5zEpzdh9DCk2g1BQ2A3DsWNW8tECIVs5zgKPQfQEqrCZzSyvuH5Hl4miW4FcCjuqKICEDgVLxPSFw307Y9KAkYgqXEhY2SJmA4GqQi12aG61GAbTqME1e2g8LyDyF06k88vehBpdD/NOvO9UUZTT1o/3EHGIZNSUm3306/8hgt2nE5jW0NSxpOiqDz2xoODYji99OmzqIoWN9/ItExeW/08uqnjUPuXYxQw2rh/xZWYUkfG7CoYptnfQIu/Ea8rnWx3KYeWfok890REAuFQm+FFCIHqcoAEMxg2nhSpYtF9PkuivUVBK4YHymiNMJoATKkTstoJWC20GjWAoNq3kY1NrwHgN5rChn1PEU5MdMuPqjhRZLiSVkGjwDON8enzcSieVLz1UceB4w9JatxBE8e+KKZQBi4nYBtOqcH+FEcZWqab/HPmRyxz5CUWwlO8Tlre3YbRNHCtp3F543nqpy/xpaMvwuVw9zneskxW7/iUZz/4F+2B5PpQJUubv2/BSdMyCerJPbV2IqWkunUrpqV3hVv8IV/cY0kk7cE2xqcfRL5nsm00jRJUtwNHuhvFqaEpveUGor/D3gaSlBYhyx9jWeR5Hk4g79WIOMZDTriKL0DIasejZrOo8CtMzjx8vzWaACbkT6M4K3GjdlWoLD3w3CGa0fAhFJGC5HA7xykV2Ff4UUjx1w4LG08irEMjHLG1nrRMD56JBbhLcrFaQtQ/+RkNz4ZDdwOhKKeEmy++lRV//Jw5E+f1KVXgC7bzo799j6Oum8cjbywf0LF7Mj5vIn01Q830ZuF1JtfTK2QEeHr1H/n1q+cRNH0RXof2YLgPXSzjSSBwqV4OyDsy+cnbjAiEqqB5nDjTPHjd2XRmhytCRfRyyPc+zztL4yOW9TKuwsr7/c8xlEhb86uDH53x+5jXGNOUBAMWQb/gC8sWcM3yi/hg8xvDMEOb/Q3bcBqFCFWh9PIjmfWPr1Fy+REx3bdadhrOgixErwo8vbaVxufWYTTGrzBKFqfDxVmLz0t6vD/k51eP3sST7zwy4GMDnHX4lxNWIylC4dzFFyfVEHR1xZtc++9jeG3zP2j0V0atNyyd+rYaQEYl8jrVNE6dfh1ubf+rehpLaIqDdHcuLs2LIjScIlJ3KxnPj5mkZEBiT6kgw1GQ1H72Bw4sO5TffuURirO6e/MZuiQUkFgm6GaIgO5nxbZ3uP6hS7j/tTuGcbaDSGdV3UBfNgPGNpxGMY68NAq+OJ/MxVMidWkUgSM3zk1cgjQs2lbujr2+n3xx8fnkZxX2S3LgD8/clpLWLCU547jqtB/FXKcqKmX5k7j0hO/0uZ/atnLue/+HXX35rDg3taDhp7p5Dy3+RgK6j0LvVI6ecAlfmXs7Bd5J+/w+bEYOilBwOdJId+eQ5Skm2zUBVYTz41xKWkRlZWcvxEh6nzvR55Ikdqiu54iStDn9nvtYZsGkI/jHd97mT199isuOvRE9FN/wfPDNP7FyW+q07EYKto7TyMH+FMcAWUdPQ3FqXUrIWnqCJ2MBapobq0UnsLEWs7l/+T+9yfBm8o8fPsW4/AlAd0PdRDS01rFi88DUfqWUBEJ+Lj3hO/zywjs7wnZhnJqLMw+9gAeveZZMb3bcfdS2VvDUp3/hd69/K8JzpetG3OiKJS3agi34ggFOP+CHzMw/Foe6/5WJ7y841TRy3VPJdk0k0zWeEu+BaCL8fStCi5IIECTzACGR0oohQRD+/U7NPBqv3Qw6CiEEs8cvZH356j7H3vvqb4dgRjb7K3ZV3RhAy/ZScsXR7H34Y4y6tphtWgBUjxNnQWaXgaWXt6CXt6DmevDMK4q7XV9MKprCS796h3fWv8Ejbyzn7bWv97nN8lfvJRDyc+y8E/vlrQrqAR5752888e6D7G2qRBEqx8w5id989U9kerIJ6gHG5U8g3R2/vYmUkidX/ZFn19yPIgTpaeGbX6cXQAKGZcUoDe/mmEkXxUgothmLCCFwqp0FGFmkOQpo0/fSbtSTpuVT69+OboVD35riIhRR5SmI7XWSHWu7z69s5zjK0hfYMhZ9sGpb39pOmyvXD8FMhpZUNOm1m/ymBttwGiM4i7MYf92JBLbX4VtbhVEbmQCuuDSchVlAdJjAbPDj/6waz6LSfe6FpSgKxx54AhmezKQMp/c3vM07696gLH8i933/4aRaugRCfq667yI+27Gyq9rNkibvbHiVt9e/ym8vuYfj553a535e2vAPnl1zX8f2HTew3p+JaeELhPC6u42jzmTdoyddxOIJX+rzODZjE0UoZDpLyHSWAFDinUuNfwu1/i2ELB8CQdBqAwSKUBK0ZZFIJCWeOUzPPs5OBk+SQBJVsqaM3xJptGLrOI0cbMNpDCGEwDO1AGdxFnWPrYp40NWy0rrGxMJqC2HsbUPLTxtQB+4FUxcxsXAyu2t3JkyA7dSAqmzYw9fuOI8Xf/U26Z7ETXD/8ea9rO5hNPXcl0Dw00e+xysHfBLT21TZtJP/fPYQH21/jaCs79VaQ6IQ/dm0+4P4gyHcTgcuzc1psy/nwOITyHTl9/Ep2OxPqIqDkrTZlKTNBsIezdrAVva0fUqrHtZx0oQjquIOoMgzkxk5Jw7xjEc32d5c9jZXxFwnpcSyQFM0nnz/75w0/wyy0+y2RzapxTY/xyBqmhPvvNLuBSIcpotlNKleB67CNFyFaVDvx9hUh1HejNT3rWmmEIJffPW3qEJNKt/JtEzqmmv49wdP9jnuiXcf7Erg7o1EEtQDvLDq6ah1K3a8zpUPnczzq/9BfXsFiEiDLhQy4huUlsQXCHF42fkcOfEC22iy6RMhBIWe6RxccD5Hl3yHY0uv4ujS73BY0SUUeWbiUDyUeudyZNHlzM49ebinO+o4Y9EFUcuklJiGRA+BaUAwpPPbZ37KKb88mAde+1Ofem+jgmGoqrv55psRQkS8iouLE27z1ltvsXDhQtxuN1OmTOGee+4ZyLsekdiG0xgl/ZAJpC0cD6oS1nqKZTSlO3Fku6N+TLIliLGjMUKdvD8cPvNI/n79kxw4+aCkxkskz694NmFPu+b2RhraEveGUxSVzRXh3nQhI8ibG/7L/71xG79+7goMy8CSZkw9mJBuYJhhQzHWBbYgbTynz/5WUu/FxqYnilC7QnBeLZvZuSeT5SxhRs4JOLXEwrU2sTnv8K+T7s6MWGZZYMZ41jMtk3tevp2H37p3iGY3eAiRgqq6fRDnnTNnDlVVVV2vtWvXxh27Y8cOTjvtNI4++mg+/fRTfvKTn/C9732Pp556aiBvfcRhh+rGKEII0g8uwzu3lODuBoxdLUR0kVAFWoaza2wUisCsa0fJdIV7fPUzqXDh9MN44sb/sqtmB+f9+lRa/S0Jx3+6dQWHXTOb84+5iMtOvpKcjLyI9U5HcpVrLoeLdza+xO+e/xGtgWYcTgVV607yNuMkfbf7grjdDpxa909CESoHjTueSw/7VVJaUDY2NoNPhieLuy9/imuWX0x9294Ob1Pibe5+6XbOP/LSpLod2ESiaVqfXqZO7rnnHiZMmMCdd94JwKxZs1i5ciV33HEH5547dtTd7bvBGEdxqnimFeCcmB2xXPXE6d3mVCDPjch0IoXEagti1rdjtvj3yd09sXAys8rmJhW2a/W38OCr9/GlW06nrqUWgNrmvdz1/O1ccNvJqCKxnW9aBltr1nHzU9+hNRA21ESvsJyUYBhWzPcSCOi0tQdxkcsBBQv50zkfcNniZWgx9XpsbGyGiylFM3jq+vf4xQV3sWjyUQnHSikJ6UEefvO+frdfGkl0VtUN9AXQ0tIS8QoG4zdJ3rJlC6WlpUyePJkvf/nLbN++Pe7YDz74gKVLl0YsO/nkk1m5ciW6PnDtvpGCbTjtJzgn5aCk96gQi5UA7lAg09mVON3TK2MFDfQ2P4apJwypxeLC4y6Jm5vUG9MyqWqoYNkTP6ct0Mo5y07ggVf+zJ763YSMxI+ViiLYvHdVR/J4fCPPH9CRMjospwgVTXXx3eN+j9uRZnuZbGxGMA7NyYkHnsnU4thioVJKTDPsjTJNuOv537LkJ3P503+WoZuj7yYe7lU38BdAWVkZWVlZXa9ly5bFPOZhhx3GQw89xMsvv8z9999PdXU1RxxxBPX19THHV1dXU1RUFLGsqKgIwzCoq0ucajGasB+l9xOEpuBdVEpweyN6RQvSimFYpIVPh8iu7WC6wXIAwgI9/GSiCBWn05WUJ2npwadz2iFn8cKK50imb5fQTF5d8yy7tjYweWZ+tzilBMuEnocUovv/ThcovfK1LEtGLZOSsGfJpeHs6POnCo3Dp5zCWfO/zbjsvqURbGxsRgbZ3uiqubDRRNTlxh8K8LfX/sLT7z9GWcEkJhRM5mvHf5sZ42YPzWQHgqqEXwPdB1BeXk5mZneemMsVOxXi1FO75V0OPPBAFi9ezNSpU/n73//OtddeG3Ob3mkQMo7ky2jGNpz2I4RDxT0jH9f0PKyWAFZFa/dKhSgBTAkYHpAa3RYK4R+CLv34/fWghJuRurVMnEpazB+HoijcftldHDRlIQ++dh+V9Xtizk91gKpGGm29e9FJCdLsmI4ATQNVEyhK2OPUG0MHzUFUXpOUEAgYBAIGPz3jHhZOWoJDtQUtbWxGG8cdeAp3vRjpMZHhi0fUsk4nc2N7A43tDazZ+Qn/XfEUJ84/jdu/fs9+42XOzMyMMJySJS0tjQMPPJAtW7bEXF9cXEx1dXXEspqaGjRNIy8vL+Y2o5H94yyxiUAoAjXbg8joYSjEMHikCtIhooymoGzEL2vRaUe3fATNVpqDFVT7NlDZvo6q9vW0hmoiQmGqovK1Ey/jtVs+5Lpzb4qqblOUbqNJxKkCjJibBGmBqoW3E0LEDL8BhAKya+5d8+modLr8mJ9y+NSlttFkYzNKmVAwhVnj50css2JU2CVK0Xxt9Qss+9dPUzyz1DISetUFg0E+//xzSkpKYq5fvHgxr776asSyV155hUWLFuFwxMmrHYXYHqf9GHV8FmZlC7I5CJaM8spYDsJXmx7LdFox8Efsx7BC1AW2EbI61crDbSakpWCaAt3y49GymJJ1CK3BZvIiQ+AAaM5uo2kgWCYoaq/3YUHAL9E0gaYJyvKmMGfcIk6bdzFTC+1mqjY2o53bvnYPX/vj6TS1N8Rcn0xdy1PvP8IN59yMQxuZD1FCFSloudK/6+v111/PGWecwYQJE6ipqeHXv/41LS0tXHLJJQDceOONVFRU8NBDDwFwxRVXcNddd3Httddy+eWX88EHH/DAAw/w2GOPDWjeIw3bcNqPEYpAG5+FLDSxWoPIXkIoMiyn3f23lIRkW8QYS5rU+DdhyGCPcRZVLdtoCdbRmWke0kM8t/ZuArofgUJBkYuavZEVLvtiNPXexDAkTlVEGYFCCgxdct0pv2XpvLFTFmtjYwMlOeN5/LrXePTt+3n6o0do0pv7vQ/TMnlt9YucuvCsQZjh6GTPnj185Stfoa6ujoKCAg4//HA+/PBDJk4M91Osqqpi9+7dXeMnT57MCy+8wA9+8AP+8pe/UFpayp/+9KcxJUUAtuFkAwiniprnRZoWZoOv6/FMWB3hrQ4DxCJE78QBn9EQYTQB1Lbv7jCaACSGabB170aMDrEV0zLJKoQ2n4Kvdd9ENiEc3otORIRQUKI5RMf68PKJ+dP5xpLrOXLG0hh7srGxGe3kZRTw3dN/wndP/wln33IMu2ril83HY29T5SDMLDX0rIobyD76w+OPP55w/YMPPhi17Nhjj+WTTz7p13FGG7bhZNOFUBXUXC9WWxAZNFB0sJyRydq9adcjy1JNy6DRF5kcWN9W12U0AbT5wp6m0okOgn5JS5OJvz22MGXcuYqw4WTo4HBGJn9LCaYumFh0AD/4wi/IyyhkfO6UMVXVYWNjE5/vnHo9P/77lf3ebk7ZvEGYTYoIV8AMfB82A8Y2nGwiEKqCmuVBWhaKYWFZIawOyXE1xunSuwu5T2+JqoRrbIvMO9CNcEhQCIHbK3B7Fcq3hZLKQ+g0mIQIb2+ZoAclqkN0eZfS3ZmcfchFXLLke3hdacm+dRsbmzHC0oPO4M21r/DSJ/8GkstxSnOns2j6EYM7MZsxgW042cREKArCqeCSKiEjiGkaCKGiSU9EcrhDcWOY3blKsYQuTSvSuFJjJDjmlyjUViYO23U+LClCgABFKEgpkRJOmfclrjjlOiSSvPSCEZvgaWNjM/gIIbjlq3/m8AOO5v9e/RN76nfRl27vTecvG9FeaaEoA08Otz1OKcE2nGwSIoTA5XAjNYlpmWiykFa9ClOGAEh3FOA3m7rGu2M0LnVqLvwhX9ffGWluqkXkU6DHq5FXZFC/N/rqFtZWCS9XhMKSuadwzNwTaWpvwO1wc8ycpRTnlKbmDdvY2IwJhBCcdfgFnHX4BfhDfpCSB169i+X/+2tE6oDb4eGmC27h9EVfHMbZJkEK5ATsUF1qsA0nm6QQQqCpGqCRo07EbzTiN5pxq5l41Vx8Zjgc59K8uLV0AkZ39V1eej57GrorL1RFoSAnk5qGyMa/aRka3jSJr00yJXsR/uxPefT6p5ldNo8de7fSHmhlXN4EcjPyh+Q929jYjA08Tg8AV3/hBr5x0tW8s/5/NLTVMS5vAotnHoNDHTsaQzaDj2042fQbRSikOfJIc4SVYAu9B1DlW89e30ZMGaI0cyq7GtdjynDPg+z0HBra6/EF27v2kZudBgJqG1ojhCnzMor42Zm/4dApJ3DmK2cyZ0JY2G5K8fQhfY82NjZjE6/Ly8kHnzHc0+g3YR2nAVbVDXB7mzBj0nD661//yu23305VVRVz5szhzjvv5Oijjx7uaY1ZhFAoTTuQYu9sAkYzEjgw/yw21r3FtsYPMAhxQPFs2n0GO+s3oFtBhBCMzy/mnAXfJlMroy3YQlHmeOaXHYmqqH0e08bGxma/wq6qGzGMOcPpiSee4JprruGvf/0rRx55JPfeey+nnnoqGzZsYMKECcM9vTGNIlS8ju6Gm4eUnseiknMxpY4qHAghCBo+qlu3I4RCScZUHGrs5pI2NjY2Nt0INQXJ4QNtEmwDjMFedb///e/55je/yWWXXcasWbO48847KSsr4+677445PhgM0tLSEvGySR1CCDTF2VWt4tK8TMyZy4Ts2bbRZGNjY2Mz6hhThlMoFGLVqlUsXRqpDr106VLef//9mNssW7aMrKysrldZWdlQTNXGxsbGxiZpOpXDB/qyGThjKlRXV1eHaZoUFUV2kS0qKqK6ujrmNjfeeCPXXntt198tLS37bDxZIYPGVzfS8PIG9No22j4tp/L+98g7fS6u0qx92qeNzWjFaPZRcfc7tK+pBEvSumo32374DMXfWEzarOLhnp6NzajCDtWNHMaU4dRJdP+y+K08XC4XLtfAQ0ZWQGfHz58nuKtbJVtakqb/baLpzS3knzEXR1467sl5uKfmj2ihNRubZLACOs3v7yBY0YTi1nCNy6Z15W5aV+5ChsyY2wTLG9n1ixdwFGeiprtIm11CwXkHoTjH5KXIxsZmDDKmrlb5+fmoqhrlXaqpqYnyQqWaqr9/GGE0dSI0BRRB/Qvru4wlR2EG4685Dte47EGdk41NqjB9IZre2kLLBzuw/DqKx0FgZ33YQFIVsKzYzQzjoFe3oAOBrbXU/2cNpVccQ/ax0wZt/jY2ox4hYKChNvuBPSWMKcPJ6XSycOFCXn31Vb74xW4V2FdffZWzzjpr0I5r6SbNb26JWi46TvTe3iW9ppWdP3+eKb89G0eu3UvNZuQR2ttC0+ubw8aRaeHfXo/lC8UebPbRy6IvFEHV/71H9d/eB0XgnVFE8aWH4Sy2w9s2Np109ucc6D5sBs6YMpwArr32Wr761a+yaNEiFi9ezH333cfu3bu54oorBu2YgW210U/bHf3U4p3oUjepXv4hZdedMGjzsrFJFmlJAjvqMduD+LfUUPfMahACaVpg9cOV1E+EQ4WePxFL4vu8mu0/fo4JPz0Z77TCQTu2jY2Nzb4w5gynCy64gPr6en75y19SVVXF3LlzeeGFF5g4ceKgHTNYGS1hkEihVWgKikslsKOW8t+/Rvax00k/qMxO3LMZFlo+2EHNk59g1LcjLdltKCXTUn4ACE2J+3AhVMGe219Dy/PimZxP/rkLbO+szf6NkoJQnV1VlxLGnOEEcOWVV3LllVcO2fFcE7OTHqumOVBcWlfCenB3AzUPf0z9f9Yy/ocnoaXZ2kY2g09gdwP+bbX4t9TS8t727hW9vUuDaTzFCGOjCBR3t3K80eijramctk/LKfjSwWQfN2Pw5mNjM4JJhZyALUeQGsak4TTUeKcWgirATHyTUdwawhm+KXTeMDr/bzb7qfzTG0y48ZTBnazNfo1e10blPe8Q2F4X7hHYIz1JDrKHKYJYRpOgy2iK5YWqffITcDtIn1uKluEeilna2NjYRGEbTiki76x51D+9uutvGSNhVnFrCZP79JpWgnsacY3PGZQ52uy/WEEDvbaV8t//D7MlEF6YjJ0kxOB4nWLsUmhKxyF7G1QCxaGCKmh46lManvoULcdLwQUL8dg5UDb7C+Hs8IHvw2bA2IZTiig6fyFmg5+mNzeHF8jwqzMkJzQlKTdp01tbKLro0MGdrM1+Q6i6hYYX19H22R6sgIHUY+srQdhgkf3RFBgIUkbpqwlNiR26c2ld8+vEaPRRdc87FH3zCNJmlQzJlG1shhM7VDdysLORU0jpFUcx7a7zyVw8GdfE3K5EvD5DIKpA9TrRMj0EttVRec/b+DfvHYIZ24xlAuUNlN/+Cm2f7QFLIo34RlMXvS6sor/aMZ0JrIJw+Foj/O/OffQsmjBln78NxRk/dIciqHn4Y2oeXUH7hqrk52hjMxpRUvSyGTC2xynFOPPTGf/94wBI3/AAWUdMpeWD7VimFVPBXDhVVG84IbxznVHTRu3jq0g7aDx5Z84b2jdgM+ox24L4d9ZR989PkLrVHWqLksyIs6zXciEEUhNgSRSXhhU0EJqC6nUgXCrCoss4krqFFTLBtMIVeqrAkeNl/A9OQDnqLrR0J5ZpgRWWQOgZBpSWjKyyUwRCiXGlF2EvlFAVpJT4Nlbj37SXereD4m8diTMvfSAfn42NjU1CbMNpMBGC0iuOouirh9D4xmaaXvs80nhSRJTR1JP2z/bgnpxP2oGlQzlrm1GKFdCp+/dq2j7ZjTSs6LBcLINIyOhlnbaKJUFRUJwqjvx0FKeK6nWiN7RF7ruHbSOcKopTxWgNIgSkH1RG0cWHouV4cU/ORzhUFAQo4YNaSDAkituBNMzI0F0sL5MAxeOIOUYGdKr++jZlP1pqt3CxGXMIEaOgYh/2YTNw7KvLEKCmuUifU0LTyxtAFV3Gk+IK3wASncxNb262DSebPpGGRdX97xLc3Rj24sQIgQmHGt1DrvPU62U8adkeir+xmPT546n716f4t9Z05O1J1DQXRpMv7lyUdBfjv3kkznHZOHK8XcvVdBeTf30mze9spW1tBZgSz7QCso49AGdRBlbAoPLutwhsr4u7b6ElCN2p4TzCit/9D+F2kDavlKxjD0DR7PiEzRjA1nEaMdiG0xDhGp+D4nWG21Z05HnETIbthZngBmVjAyANk5aPdsbsldgToSlII1IJXHQo3Esk7on5ZB45BWdRBmlzShCKQqimFf+Wmoj9KE4NNdOD2eKPPogarsJzjsuKMJo60bK95J0xj7wzwiFoo9lPy3vbqV1TEZ6bInBPzidY2YQMGjESyNWYMgbCoUUokMuATtvHu/Ctq6LkO0fbHigbG5uUYV9NhgjhUMk+fgYN/10bTopFJlYK78zjUBSa/reJ9EMmoGV6hm7CNiMeozlcxdm+pgKzNRC5MsaTpRACxR3OUeqpOSZcGrknzCD/7IO6JAE68X9eHd5XL2FM1e1AcWpYQT0cFjTM8IOAqoAQtH+2p0+xSqPRx97lH2L59W4PmSUhZOEuySb/4kOo+9cnhHY39ngT0fvpbNsS6yHE8oeo/r/3SZ83Hu98W//JZhRje5xGDLbhNITknDQLvb6d1g+2hxNpDQtieJ0Uj7Mr9wkgsKmWwKZanBNzyDltth2ntkFvaKf6/vewAnrY2OgVmhNCIGOIsgohUN0OpJRkLp5CxsIJuCfndYWNe2OFjLhzEIpA9TgBMP3B7nCfCCeo90XDC+sjjaZOpETqJo3/WUfJd46l8o+vo1d3tDWyJFLpYSSJOAnkgOIIP3gQMGn7eBdtH+/CUZxJ3vkHoWhqzG1sbEYqdo7TyMEO/g8hQhEUXXgI4687kczFU1BzvdFGk9uJlubu+pH0XB/a1UjTKxuHeto2I5CG/67rNpogprCdUJXoJ8yO0FzO0tkUXngI3pnFcY0mAC03rc8mv1JGJpgjQe3DO2o0+gjuqI8vrinBqG3DqGml7PqTKLniaNzTCsLepZ4oIqakgeJ0xPxM9OoW9j74EZYVLVBrY2Njkwy2x2kYcE/Kwz0pj8DuBvb+7X2EonTlcvT0NMUiuK0eK2TYORv7KaGaVnzrqwhsq41YLjQV2cs7JIQIJ4RLiTQtPFPy8cwoJuOQiQkb5kop0ata8H9eg17TGlu2oMdYafQ2QiTpB41P+D70uraE67vG1bThGpeNZ1ohnmmFWP4Qe373v8RCnmqiBHKB9Ons/cu7oAhck3LJPmmG/XuyGfkIBu7qsB1OKcG+WgwjbSt3gRDh9ixK+CaXjLKrb00l6YsmDMEMbUYKpi9Ew7NrCO5uRJrRRkM48Ts6FwnCnidnSRYlVxzTp4EgpaR9ZTn+9Xu7DCYtMw2juT3m2HBYLdJgyzp6OlpWYo+TSDJUJhyRdwrF46T0+8dR89BHYaPOiqGNpsYouhCA2quliyUJbq+nZvlHFF5yGIrbvhzajFxs5fCRg32lGEZC1a3dNzpLJn0zMZLIH7EZO0jTou6JVei1ncZLvMRvR0fid6QHyDurmILzFyblVQnubAwbTdDlZdK8LoQiMNr83Z4eVUFxKBgN3QaV4naQdex0Mo+c2udxXGU5CLeGDMTPoUIVuKfmRy3WMtyUXnUsRksA3+Zqmv+3GWnJrk8lnlRBzHUCMCU1yz9EqAqOonQyjpiCo8AW0bSxsYmNbTgNI4or0lBKGH5waChuB4qmYlS2Uf+vNXgOKMA7z+7TNdbxb6lFr+kR2orz1NiV+G2FW5nknj4X74yihGG5qGOtr44ZmlPdTlS3Mxzym1tE2oLxKE6NUG0rem0bikvDPTE3eU+SppB5xBSaX98cd0z6ogldyeex0DLdZC6ahLM4i9qHP+6ac5RCf8e/oz1TIiJMjiXRq1ppeGo16cdPwzOlwNaAshk52E1+Rwy24TSMeOeUhgULO7CCeleia8+LvOLpuGn1XKdb+NfvRa9rJ+v4aUM7cZshwfSFCGyqoWXFrojlXblLcQxtoQgyD59C1uIp/TqetCRGXXRILgJF4FtThW9DNWkHlpI2fxzOgox+HaeTjMWTsfw6rR/s6EpaB8CSeOeNI/uExHIGnbjH51By5bE0vfo5/u11SMsCpUe4Lta9QhGxDSoBKAptb++g/Z2dHXlQOWQcPdU2omyGFTtUN3KwDadhJP2g8TS/szUsitkRsjNafGiZ3q6nYKGpqO7wU3esEISxt43gzgZck3KHdO42g0v7mkpa39sBSMz26NCs0FSQRDbu7dBbSltQRs7SWYM6P6stROuHOwlsryf3i/NQele7JYEQguwTZpB+cFlYi6olgJLmJO3Acf0OlWmZbvLPXQBAqLqFukdXJT52rBuIEHHyoBoIljfhHJ+N6nXiObAELS2+J8zGZlCwdZxGDLbhNIwobgfFly5m78MfYTb5QRFYIaPLeAJQXI6YzYF74ltbbRtOYwj/llpa393e9bdQBLJ3pxQhEE4NqalI00Q4NdIXlpE+b/w+5+cIReAoSg+HBRMoEMjOHCoJek0rbSt3k7l48j4dE0DL8ZJ17PR93r43zuJMcs87iMbn1oZbzEiJEJHeon7lQSkCYYXlQIQQBDbWoBalk37ohHDD+RwPShwtKRsbm7GHbTgNM46CdMZ97zj8m2sIbK9DSomrLAfV46R9dQXofYuWWT59iGZrM9hIKWlbsTtimeLQMBOE5YSihT03C/e90tJsC2FUtaJletD3xpYK6AwVR4QIJfjWVpFx6MTESvhDjHtCDiVXH4N/Wx2BHXUENtaEH0Di1WMrsfOgej6h91xn1rTR8vznHSvAMS6LtEMnIgM6aroDxW17pGxSiy2AOXKwDacRgFAVvLOK8c4qxtJNGp5dG24zIcBZlJ1wO+HUEKqg7cNy3NNy0fKTTwS2GVkYDT78m2vC3sceCFUJ6zQZMYwnAY7iTNLmj9unY0pL4l9TjVHZ2pULpKa5wuHBjiTxngKTpi86bCiDBmZ7CC0zNe1M9L2tYQ2pDrVwR3EmnlmFOIr6n0vlmZqPZ2o+ofnjqP/nZ10h8ahcwlg3lFjGVEdrlwjRTQl6RQtNz6ztzptyqzgn5iDbww81jrJs1LIMQmtr0Ova8a2txGs377bpDwoD13Hqx/bLli3j6aefZuPGjXg8Ho444ghuu+02ZsyIn3v45ptvctxxx0Ut//zzz5k5c+a+zHhEYhtOI4zmN7YQKu9IGJcdT/eO6MamapoLxal1XcCtpgC+lZUoWS68h423QwejCCtk0PrWNvSq1nBicwwUtwOph0O5nWE04VBJmzeOzGOmJV3N1pvA+r1howm65QfS3ChODdMXQlomMmBgGWZYrylOCK93j7t9xf/5XtpXlEdU9oXKGwntbiTtkDI8s4r2ab/OggyKvn0kbR/txL+lFhkw+tQCjPV0LmImlEcbXzJkEdra0BVm16ta4eOOdUED/7oa/OtqULJcKG4HQggcJRm4puTaYpw2I4K33nqLq666ikMOOQTDMLjppptYunQpGzZsIC0t8QP6pk2byMzM7Pq7oKBgsKc7pNi/0BGE6Qvh31AdcXPSW3w48zIi8pxUr7Or9UTvi7vVHMT/WTVpB9tPs6MBKSUtr2/FqO0Ij8VxpYdzmhwIhwaWJOPwSXjnj0Nx7nvPNcuvo5e3xFynODSULA3hUmnbUBF/JwK0/HRU78BDU0Z9e9hogqgWLgDtK8pxFKaj5e2bV1XRFDKPnELmkVOwLIuGf37W7d2zZN/Gn4gvdRDxvcUJ78XCag5iNYe9eHp1K/51e0lfPAElzYnidQ7o+7UZW6QyVNfSEvm7d7lcuFyRXSteeumliL+XL19OYWEhq1at4phjjkl4nMLCQrKzswc015GM7ZYYQYQqmqOVn3UToyV8cZdSIjuSghP9gMyadqyoNhg2IxF9bytGj2TscCVl/J+lECJceXbw+AHfVI04uUw9kUETZ0lm/FYNkpSp2Ps31iRuCSE6xqQARVHIPf8g0o+YjJLm7DKKYvW9i5hClIBmL20dEWdcMgjAkrR/sJvW17bS/J8NtH20O1x1a2PTWVU30BdQVlZGVlZW12vZsmV9Hr65uRmA3Ny+C5EWLFhASUkJJ5xwAm+88cbA3vcIxPY4jSTiXLQtX5BQIIiWmYaW5U1qV3pVK66yrFTOziaFSCkx6n3411RFCU4qTgemGYo+HwQgBNknzkhJIrY0ZMI+dJ1kHDWV5je3hL1ioscGEjKPnoJnWrS6977QVzVfuIovuR53yaAoCmnzSkmbF/bOhiqbaXppY4SQJkQaQX1VuO6zwKAg+juVoO9ppqWmjYzjp6HaEgg2KaK8vDwilNbb29QbKSXXXnstRx11FHPnzo07rqSkhPvuu4+FCxcSDAb5xz/+wQknnMCbb77Zp5dqNGEbTiMIR3Fm/JUWGE3taOmuxBfuDpE0s6oFI92BlpOcoWUzdBgNPtpXVGC1h7ACoShjQSgC1evEChkRFWyuCTmkL5qwT0nSsVDSHX0aTQBajof8CxYQ3NVIYFstMmSh5Xrwzi5GzUhNQjiQVAPSwawKcpZmkX/xQtpX7Qn3BNRNpG4h6ajGk4M3RxFPCkECJrR/UI6jJB1HYTpqvteujtoPSaUAZmZmZoTh1BdXX301a9as4d133004bsaMGRHJ44sXL6a8vJw77rjDNpxsBgct041rSh7BHfWxb2gCRLxGpAIUlxbW/JESy28QXFtD0KHgWVBqNzAdIZjNAVrf2QlmV2wu5jghBKrLgXSG84xyzpmHmuKkYa0wHeFUw1pHMScBWnE6iit8XPekXNyDqBfmHJdNoHVvfGNOgGP84HpRFadGxuJJZCyeBEBgez2t7++EHqHvCK+TlFHfYZ9eqd7Ey11Rla5EcRk00Hc3o+9qRsl04T1kXNf3YrOfMEwtV7773e/y3HPP8fbbbzN+/Ph+b3/44Yfz8MMP93u7kYyd4zTCyF46EzVOZ3k1y0P6cVOjn3oFYcOoR35F14VYt/CvqsCKU61lM7T4N9ZG5LGJPhS3hSLwzipOqdFktgYJbq4j8GkViteRcGyoopnmFzbiW12F2T64uTaeGQWJL+xChMcMIe4peRRcvJDMpQfgPXgc7jnFkU/9vcOp/TWaCL/lqNwqRXQZTV2/585+4K1BfB/v6TMfy8ZmIEgpufrqq3n66ad5/fXXmTx530RuP/30U0pKxlZPVfuRZYShep0UXLQI39pKfGurMNuDHW0oSvEeWIri0pBziwis3du1TWcycdwLtinRy5txTcwZirdgEwNpWhh17egVkdUsQglrccmQEb2RADXbg3v2vpXgx0KvaEHf3dx9CCFQM1yYfj3Cq9JTfkACwa11BLfVk37UJByF+6ZM3hdqppvMJVNpeXNb2CDptAs6crsyl0xNbWiwH7hKs3CVhr1daQeNw7+uilB5U/iBJGQhA0aHBRQ7NyoRsSKAiha7arZzA6s1hF7RgqM00+4/tp8gxMB7zfXHpr/qqqt49NFHefbZZ8nIyKC6uhqArKwsPJ7ww/2NN95IRUUFDz30EAB33nknkyZNYs6cOYRCIR5++GGeeuopnnrqqQHNe6RhG04jEMWlkb5oQkS1khU0CG6rQ69pD99QC71YLaGwHo2m9HmRNqvbwDachhwpJfrOJoLbG+OGxBSnA0uIsPHU6UXQFNzT8/HOL92nPnCxMJsDEUZTJ0JT0DJcSClR8zz411bHeCOAlLS9v4vs02f26SnbV5zjs8k550ACm2vRq8P6Uo7iDNwHFKRE8iAVKJpC2kHjSDuoW3RUr23Dt6YqrOLvVMGwsFqixUJjYsnoHmJqnN90R9WlUAShTfWEtjbgGJeJc3JOyrS0bEYoQyyAeffddwOwZMmSiOXLly/n0ksvBaCqqordu7s7HYRCIa6//noqKirweDzMmTOH559/ntNOO22AEx9Z2IbTKCBU2Rx+Cu8lMSCcKunHTUXfWB9/Y9HhkZIQ2tGAVppp50YMIaGtDYS2dwiaJsrpd4T7zoHENSUP74FF+yxqGQ+9qjXheiFE3xIFhkVwVyPuFFXSxUL1OiOMktGAoyCdrBMi++1ZISPsYRTgKM3Eag/R+sHusNdAFaAoYFphw8mSSCWOwGYnSgypClOi727GrPfhWTTONp7GMEPdciWZUPCDDz4Y8fcNN9zADTfc0N9pjTr6dQeVUvLWW2/xzjvvsHPnTnw+HwUFBSxYsIATTzyRsrKywZrnfovZEqDl9a3R+k6EVcXbXt+Ge1xsT5LiVBGa0q0uXu8nVO9HLUjDMTF7MKdtA1gBo9toouPCpyrdTXJ7Eb6ohfN4Um00Acl5QJJIhTPqfDBt4PMZ6yhODdfk3Ii/c06bieOeTNzTC8Lev84UM02AlOGQH+FWOJ3tXTpJFJK32nVCOxtxTcsbvDdkY2MDJOm48/v93HLLLZSVlXHqqafy/PPP09TUhKqqbN26lZ///OdMnjyZ0047jQ8//HCw57xf4d9UE1ffqaslixajNYRTDT/VEv2kYta2o1fGVoy2SQ2WL0RwS7QnsK92Gu6ZBX0mbO8zST1tJpFwPIwpNWMlIdp7UAneg0tRs8I5W1qaCy3TgyMvDTXdBUovA0lN4InqQK9oDRtcNmOTFApg2gyMpDxOBxxwAIcddhj33HMPJ598Mg5H9IV9165dPProo1xwwQX89Kc/5fLLL0/5ZBOxc+dOfvWrX/H6669TXV1NaWkpF198MTfddBNO58jIjdgXQrub+ryX6U0+HBmeiGRapQ+XvVndhqM0eR0Pm+Sw/DrBTXVYLUGsGDlNQhGoHidmUI+srnOpuGcW4JoyeOX+apYLs97fx6C+L6yOgsFJDo+H1VmKX9kKhoVwqmilGTgnZA1artVgI4TAWZaFsywLfW8boU114RWqgup1dkmKdJ4jfWq3deQ9BTfUohV4w1pPKRBJtRlBCAb+0GLbTSkhKcPpxRdfTKgWCjBx4kRuvPFGrrvuOnbt2pWSyfWHjRs3YlkW9957L9OmTWPdunVcfvnltLe3c8cddwz5fFJFvLBO7zGeRePCSb0BMxwO6qss2pKYrUHUjMSKsTbJYwUN/J9VgR7+zoQQyBhWr1AEmseJtCTSkngXloQ1lQb5aVArTk9sOCkCx8Qc9AR5TsKp4pyQnfrJxcHy6fhXViANq1vRO2Si72zCqG7Ds6h01OfshSvyiHhAEkKgeLSwAKduxm+u7FRRHGrX7122hdDbQugVrbhmF9j6bTY2g0BSv6q5c+fy2WefcdBBB/U51ul0Mn369D7HpZpTTjmFU045pevvKVOmsGnTJu6+++5RbThp+WnoFc0JRQG1vDQUj4O0Q8uw/DqhTXURitMRqOE8G6EIjF1NmE4VtTgdNXN4yrzHEnpFS5fRBIRDqDFUBjoRqkArTsdRnBol8FhI3cSq92E1BsCSKF4Nyxdb+sA1Ix81243VHiKwfm90OxaHQvpRk4Y0ATmwvgapx354kEGD4MY6PPOLh2w+g4FQRczfd7ixs4p0KOFwfa+ftNCUrorLqIekkEloYx2u+UW2yvhYYZgEMG2iSfpx5OCDD2bBggVcdtllXHjhhWRljfw+aM3NzX02JAwGgwSD3UmzvbtGDzeemYXoe6JLyLuQ4JlR2PWn4nGgZLmx6n1RQ4VDiezcDhAyMXc3IwsNtEHS5xnrWAEDq8GHURlZtSaEQGoCjHjuAoFr2uCF5mTQwNjR2K1SDqiaipImsAwLKcI5D2qOG62oWyHcM6sQR1E6we31GA1+hKrgKM3ENTl3SD0YZmswcUK7BLPOhxUwRrVnRc33Qo8igt4IIcDrQKhK2ADuXN7D0xQLGTCwmoOo2fZD0VhAivBroPuwGThJPzq+9957HHzwwfz4xz+mpKSEiy++eER3Pd62bRt//vOfueKKKxKOW7ZsWUSX6JFWGegoycTTKYDY86Tv+Lf34HFoeZH96LTxMXKX1PBNMl5Jq1XTjhXPS2UTE2lJQjsaCa3bG/Y2xUjMFZoS00OjpDvxHjpuUEOlRkVLhNHUNSdVQXVpOHI9eOYX45yQHRXu0nK9pC0qI2vpAWSeMA3PrMIhN06s1uR0kKy2wVU0H2wUtwO1KC3hGNfkHDzzilFzOowgpaN3WUKl9SQrKW1sbPpF0obT4sWLuf/++6murubuu+9mz549nHjiiUydOpXf/OY37NmzZ1AmePPNN3fd7OO9Vq5cGbFNZWUlp5xyCl/60pe47LLLEu7/xhtvpLm5uetVXl4+KO9jXxFC4F04noxjpqDldVxcBTiKMsg8YTreudFS9opDRS2MvBAnE14xq1PXeX5/QC9v6vLsxbuBCSEQDgXhVhFOBbXAi/fw8XiPKOuqqBoMZEAHf4I4ISDbQl2inGZbiOC2BgIb6wjtasIKJt52SEg2rDAGcqBd0/Mjf7Odb10IHOMykX4Do7oN1/Q83ItK0UoTh3eFQ0Fxq8i2IEZlS5fMgc0oRqToZTNg+v0I6fF4uOSSS7jkkkvYtm0by5cv59577+Xmm2/mpJNO4oUXXkjpBK+++mq+/OUvJxwzadKkrn9XVlZy3HHHsXjxYu67774+9+9yuXC5RnaCtBAC16RcXJNyI9o5SCkxmwPIkInwOFDTu6sHHROyQVMxq1vBSpwoLlQlfJPy6Rg7GlHyPIgMl50bkQAZMrFqI8OhQlPCScwxECIseuianjckCfmyD6OpE8sXIrSpBbPW131RlRDa3ohzai7OCcMXkldzPdF5VlGDxKAaoEOFUATumQVYE7IxatuRhoVQQLaGwgZuxzir3ofwaDgn5xBsq4nMqQNQQPH0uKxbEqvBj9XgRy3OCIcFbUYndo7TiGFAvvepU6fy4x//mLKyMn7yk5/w8ssvp2peXeTn55Ofn5xKcUVFBccddxwLFy5k+fLlKMoYeBTtRacxo1e3EthQg9Wud61Tc9x45hZ35TQ4SjNwlGagN/mRe2Lkbgm6hBZ7NgW2qtuhOYg6PtM2nnphtQQxa9tjhpGEI77hBKAWpA1dFWOSFXp6RWvYaIJIA0WGVc+FQ8FRMnjJ64lQXBpacTpGVXxPqKMsa0yV3SteB86J2VjtIfStDTHHSL+BsaMp/NmUR/6uO8OpsX63ZnUrwq2ipI/sB0Ubm5HOPl9x3nrrLS655BKKi4u54YYbOOecc3jvvfdSObd+UVlZyZIlSygrK+OOO+6gtraW6urqrsaEY4lQRQu+FRURRhOA2Rig7b1dmE2BiOWObE9MF22U0dQTvxHlUdnfMapaMXY2Idv1uFVQiluLNloUgWN8Jq4Zg9emJGouaUlolwkw9rYnHBLa0TSsopOuGfmonTl8XeGr8P+04nScU8Zm/0WjJvH3IgMGIt2JktPtbROaiFIb741p/6ZtbAZMvzxO5eXlPPjggzz44IPs2LGDI444gj//+c+cf/75pKUlTm4cbF555RW2bt3K1q1bGT9+fMS6saI2DGHNpkCsJqydWBL/+r2kHzkxYrGS58Wq63HR7CuxFJDNAWS+1+6+TjhROcKQjPORCEWgurWwgrMl0SbnoOV5h7SEP3y+S0SWC9kcPzlYJiEeKQMGVrseEQYeSoSq4J5fhNUUQK9uC4elXRqO0rEroSGlRCaR1C1bgjgPyMOs92PubUMafRd3yPZQ3xpvNiMSu6pu5JC04XTSSSfxxhtvUFBQwNe+9jW+8Y1vMGPGjMGcW7+49NJLuzo2j2WMmva4ujadmA1+zPYQag+vg1qUjgwYyI4KpM4cqVgXUKGG83GEEFjlzeG/czwoyXgxxhgyaITDc72FI/u48QhFoOR6cBQNncSDlBJag8jWIJgSIWVcOQSR5QqfR33lEEG4Ee0wIoRAzfGg5niGdR5DRrJtUzpyF7V8L1q+F313U2KDSwBChAsCnKptPI027BynEUPShpPH4+Gpp57iC1/4Aqo6OtscjAUsv973IED6dehh6AghcEzKwWwJYu5tjVmmDh1aTz3c/QLCY+t8WKaFMkaf8mNhVrd134h6tU8RQkCCZHA0Ba1s6BKrpZTIeh/4us+PrtChJcPtDjUF4VBRst0IjwOjtr1vo0kweL3zbGKjCHAo0YnfvRC95CEUrwMzluEkwj0SRcfDEJWtYVHNXC/C/m5tbPpN0obTc889F/H31q1b2bZtG8cccwwej8d2/w4Rwpmc0RpvnJrpQs10YVa1Ilsj9W/6zJFoDGClO8dk0n1vZMjsM1wiFAU0gTR7tMQQhD1N4zIRfTT0TSkBI8Jo6ppjRzWfAER+WsSNUs3zhpWpY/TUC28MamHaqO0HN1oRQqDmezETJMVDR9VhD5RsD+betkhjWIDqcXTttwvdQu5tg4I0xDCFYW36id2rbsTQ7ztgfX09J5xwAgcccACnnXYaVVVVAFx22WVcd911KZ+gTSSOovQ+K6aUdCdKH9VbIlZZcpy8J0lHfF0BWdmKWdOGFRp7ujCWZWE1+jArmqM8TPE+c6EIFIeGcKhoJRm4DirBOTl3aI0mQLYlkRPTa4xQBK7ZBfHztZzqoCqbDwQZNDAqWghtqiO0uQ6jui1+m6FRiJqfhkiL7w3SxmdGGbRCU9B69RFUnPGr7ABkvW9M5YCOaWwdpxFDvw2nH/zgBzgcDnbv3o3X233zveCCC3jppZdSOjmbaIRDxd1HdZZ7dmGf3j/FoUYaT3E8TRLCZ0nPVSETWdOO1Th2KnSs9hCUt0BLCILRIZK+kruFqqAWpQ9faXwfYZ3wmGjDQsv14FlYGqnvowgc4zLwHDJuRDbQNet9hDbUYta0I306sl3HrGoltKF21KuIdyIUgWNKLmpxOvQ490SaE8fErHBj3+ZA+P33MHyUDBeOaXkouZ5waFbtowjEkjE9lTY2NvHp91XxlVde4eWXX46qXJs+fTq7du1K2cRs4uOcGvYCBDbVRSSSCqeK58CipBOS1VwPlksNV4vFCNd0GU0QM6lQtutYjhDKKHb1S0sigwb0rDiMkfgjOvJOYibmKwJtcvaQVs5FkUyYPI7XTM104ZlXhDQspGkhHOqIraS02kMYu5vjrJTo2xpwzikc3u8iRQhFoBWlhxXFTYlEQmMAGgORZ6gqwiG3zpCcW0MrzUTmGsiq1pj7jiAZo9tm2LGr6kYO/Tac2tvbIzxNndTV1Y14Be6xghAC17Q8nJOyu0q0Fa8DrTC93zc8Jc2JkubEMk3Y0+si26PtQ+yJgGz2Y7YEwKUisjwoo+SGJQ0TqzkQbkvSkSjf9S7jtU9RO5okmzJsYHgdKJkulBzPsN+oRZoD2ZQ4VCW8YQNXShk2ettD4ZysTBeK2xG3r95IwuxD3whLYtb70IawmnGwCRciCGRNG7TH8A6ZElndBqUZiJ4ewj6uBV0PRpYFpjWmhETHJHZV3Yih34bTMcccw0MPPcSvfvUrIPyjtiyL22+/neOOOy7lE7SJj9BUnOO7K7esoIFe1YrZFgrrCeV40ArTkrogKqqKleaE9h6hjni/sZ7LO3+IQRNZ04aV7+3KqxiJSCmRuolMUFEmFBE/76fjJiYynENaNRcPKWV3HzIhIF6+iiIg3YkVMNC3NyB7hWeUTBeOKbkj3nBKpvGv1RKEMWQ4QbhYIabR1HNMUwDR8307lJjVeRJAE+FzQoiwTEmgDdwaSpbbNqBsbPqg33e422+/nSVLlrBy5UpCoRA33HAD69evp6GhYViVw/d3jL1tBDfXRRgDZp2P0M5GPPOKk9JgEnmesIheMIHnIo4XqvOwst6H5VTDuTFex4ipwJMBA6stGA5JxtDJibKTEj2ZqQJ1BNyYLZ+O1Rro/vA1gdBl9HtRFURhGliS0MZaiCGhYLUECW2uwzmzYMSG6YC+5RMgvvE4ipHJ5G75dKQlu74/IQTkepA91OElhI2pDk2nCAIGluFDyU8b2efA/opdVTdi6Pddbfbs2axZs4ZDDz2Uk046ifb2ds455xw+/fRTpk6dOhhztOkDsyVAcFNd7JuKbuFfU41MQsRQCIFSnAGFaeBMcGrEMpoE3aGBkInVFsKqaccaxq7s0rCwggZWcwCroSOPK85NNWqpAOFUIn8hIiwcqU7ISloWYrCw/DpWSyBy4kIgHQqWpsD/b+/M4+QqyvX/VJ2tu2fLMpBFQiCECAgKEtQgmAQ1YUdB9iW5YgAxICCiufAjQQ0gBC+ol0UNSVBBUBARhASEcBECBASEIAE0kEASQ7ZZu89SVb8/TnfP9H56unuml/fLp8nM6Tqnq3v6nHrOW289b0gHWiywXZrAxraAGZpfxiNPLT3V60KmleupNoKUkqnlnLucyIB5SGk3BSxigu3S1HduciQjTVnxJFRvfSTY1yW0oq4qGNCcyujRo3HNNdeUuy/EAHGzFfBNaSDhbekJXKyVhw0gbEDanj+l1Z9coinH87IjCtntTwvwJhPcqrzhnnKFbwToxoWSKnDNYADLUXuOGZq/aqnFAh8RrgqvMqVU7ikr5k8zSqWgtYVSIgdiW+FVkGJbb4Y/UDWh7xqBW2C6TstmtVHjMF0rHGxj8BPF0zc3m0DE8CNS3XZBZ3LV6wJUCJiocXp7e/Hd734XDz74IFzXxZe+9CX89Kc/RXt76TVDA0Wc1q9fX9RBP/zwwwF1hhgYYnu0LG3SSUy3BSJdUDD0fbuEAjwJ2RGD+1EXvJ4YRNSBLFMpDyUkRHcM3tZueFu6fIGQWHofcNZGpf3bH6ZzsOGhqhBNAPyclUJlORSg0r228kSbkrsFqHc2lPDWUN5pUn2PYYPuoTUoBImiNZs5v6OMM19AZRFWGQxxiR0iO4qxsjwahfnz52Pp0qU45phjcPrpp+Pxxx/HN7/5zbIcO5BwOuSQQzBnzhy8+OKLOdt0dHTgl7/8Jfbff3888MADZekcEZAAOR0DNbnTRkTAhoX7vinpx8l2HrK0n1ncRBP+/1SvC9ltQ2zvgbutG25XFF5nFKLHhpQSnufB67WhhISU0o+wuALS8fx/bRfezl64W7vhbu2C2Ob7+UAqIMs1v+ClIp4MnvUTihjA2JaqydUCivhbpk/bWIWnF1kV+jalo49tgbHXCLBWyxcCOvfd2j/eXrf17Hzxnue9acw/TwuR53ucNLrVOJQn6toYU4r49YREYt3ywAMPYPHixfjFL36BW265BY888ggefPBBCFH6zWGgq+Q///lPXHvttTjyyCNhGAYmT56MsWPHIhQKYceOHXjzzTexZs0aTJ48GTfeeCOOOuqokjtGBIc3mQWN/0qpbs+bTaDZ9AXM1p5M35dsdzH9Nqkc2wH4g3vMi1+0GdCvFp8SEmJ7v+ml9Au56vuHZbxQarNUqwGV2TYxpSWVX+PP0oFxrVUlmBKwIFEDAEhbHaXt0pTbAynRpr1poN0aVHirBbO1saaT2LAQoDGoHdGUWpMqrIO1WFAxF4oxsJCec2Ucj/hT8OkoBr8gdPw88Dqi/iKIiFXVq2SDID2RjL4qMKiok7qIhjNozTXwPik5vCg2bNiAww8/PPn7Zz7zGei6jo0bN2LcuHElHTvQqDBixAgsWrQIGzduxG233YZJkyZh69ateOeddwAAZ555Jl5++WU8++yzJJqGAONjrfkbMEAPmN+U9zCMgY2MZJ58QaJQ2bYnfElK9CcplL+UuS233QBaLLARYb+UShWKJqWUP7gVsg3gLCOBXUurVZexy4gweEsdJlbXEazFAhvX5if8j2kBRjVBMUB2xiC7bMjOGMSWboid0ewRo5AOpH0vFAOUkeWcEAqiK1az5ZWkkHB39EB0RP3FFL2un/ie/rFIBdFZu++TyI4QAqaZej3TdR2eV/rfuSiJHQqFcOKJJ+LEE08s+YWJ8qHt2gRtZxTiP9nNAa1J7WUrncE5hxzVDHQ5fRehwVi6XOK0QUrUCeiLPAFA2ADTNbCIUbU+RkopSMeDiMWnJJnKewPKWzNzshhnMD/eDndDB+S23r4BRGPQdm2GPralevK4iJwwxgBLh3I8yB3ZV0GqqAsJQEubvmOMgY+IQHZEgWg80quzxJNZjyV6bN9Nvka+G0opCOEb3CZ7HODyIbpi4COH3mYkJ2SAWRRKKcyePTvFmDsWi+GCCy5AU1NfZH0gqUVVHpskgsAYgzWpHWJYGO7GTsguB2AM2sgwjN1aobWGyvp6nHOgLQS0hfzCuFt7CycrD8b52k8L9W1LnZpLn7bjI8Jgocqv9CsVEXMhY/0MEDmDMgB4KnVFoM7BW6ycQplpHOYew6F2a4OKuv6KwohZF749Ski/7ppUgKEBYb1mBvuBIAqsLlRRF6rZyrgZ8M1xI1CtEjLqQtkFatVJBeUJMKO6hwvpCXi9jm/dUOh6lA0FSMer3ik7mqorilmzZmVsO+uss8py7Cr9hhDFwphf1ypbqQkl4hcSnZd9IOGcA+0RqJ0x390Y6BMv/V8qI+RTHjKNK5FTPCn4woEZHDC0mhEM0hOpoikBZ1Amg1IK3DKgWdkjZsqJl5cR0hdWbSE/gtBSHzlCSimonTEg3YNKY0B7JFlqpp5QUmatL5nRLurm/Dv754IGFBJOgJ9TVcX3F9Lz4HX3E5IDDFArTwDVKpyIoliyZEnFjk3fkDpG9jjwNnb5JSgAgDNou0Sgj24p65QU5xwYEYGMX8ylI1KSvLNSJgGXodFY2hP9Xo81meB5lmxXKwVzLxjza+el/U2VUhCbu31R0f94H/WCj4yA7xKpuc8iG2pHDOjIMmUllO+aPZolC+DWDQEXgxVcGReknh0DJBSYUlX7fUkRTXEG1FNWnVP1ABX5rSZIONUpoiMG993tqRulgvhPD+TOmF9ao8z5PJxzIMTBQwZkSPNNGvut/kmJOiUu6EEvxNnqsPWLLqUIqMQhLR3c0PxEaUuviehSNoK4vmdrIz/qzRBNyee29fq5TSNr2yxSCZldNPVvsyNaf8Ip4He5UN05pvOs55YCoDTmLx9iDML1IFwPmqH7kc0qEFDSE/BsF0qIrCJpIEHuIJYdQwblOBVF0FzsgeQ4FT1y9vQUqE5ODDlKKrjrduR+3hbwNhZwGy8RbhrQRzaDj2zyvaBaQ9mvYgNM+k4aVvb3iOLw67JZOrQREejDwr5bedioWdHkE6DvaU2UkH6ZmTzIrb1QA8kFqSYKFL4F4Begdqvb2LNYGGdg4cL3vYXaMMagpZWxSSaMx0VTf4TrwY3aQ+7x5NmO3w8pc7jWFvg92y6mXpUraYmB0dbWlvJ45JFHwDnP2D4Qio44jRo1Cqeccgq+/vWv47DDDhvQixKVRab5vGRDbO2F/rHWildC5/Hjc12DsnTImNvnqaIQyM06SfwirpRKMaxUOvP9bRiDEQklX7MeUNKfgivk6J2e0Kp6siy7TkcqPwcmQP23qiWogWGtC8Qs8JYQhN2T9b0pALzF8tdFFJhi45YBKED02vEdkTeipYSE9AS0IUoWl56A6D99nTWvEck1IUFumZihQav2nD9KDi+K9BynP/zhD7jhhhswYcKEko9d9Ahzzz33oKOjA1/84hcxadIkXH/99di4cWPJHSHKh4x5hU8QhUG/C2eMQQub0Nsi0NsiMIZFoI2IgDdb4GETWqsFtFmZF+343L7UAGkwKItDWVrygcR0A/wk0XpACgmnNwanJwbhun1RtRxo6TUAg+rRWhcUQaeb60hMJ2AahzayyTdrjZOIFqmw5keHOqNwd/b6Tvx5okQ8ZEAf3gStOQQV4DMV7tCcZ1JKuDEn41zILNLNkqNb8jnW76Fx323d0KC1haG3VUcdyrywMj2Ikin6anLcccfh/vvvx8aNG/HNb34T99xzD8aPH49jjz0WDzzwQFnMpYjSYJwVjjYk2g0xnHNoIQNakwluGjAMA8aIJhjtzeCmDq0t7Bs5MviDZL7K7hh4aZlqQgoJtzfWl7fEGJAr9YIBeksoM3IYMFcj3SSz5mgyCw8GYb1q/blKhekc+ogItF2boY2MgLWYvvBJOw2k7cHriuU9Pxhjvo1FEAExyIJbCIFYNAbHdvwIWv8n44a2WcWTxpI3XszSobWGYIxshjE8AmN4E/S2sJ8HSeTk1ltvxZ577olQKISDDz4YzzzzTN72Tz/9NA4++GCEQiFMmDABt99++yD1dPAY8NVk5MiRuPTSS/Haa6/hJz/5CZ544gl87Wtfw9ixY3H11Vejt7dwJXaiMvBhhX2bWFj3vW6qHG5o0FvC0IflTmJWABRnUDqDgILjOBCidmtteXaW8jlx8aS4PwhwS4fWZMFoi4DrmX9HlsUhOqNNxKiJ2nT5YDzuZp+zAcBG1HYCfBCYxgGNQ+aJIishIQNYD+TTTf65BkiNwfO8QTnHhCfgOoVW6fb9mBGd1Rj0YRHozSHwKveiysdQFPm99957cckll+DKK6/EK6+8gsMPPxxHHXUU1q9fn7X9unXrcPTRR+Pwww/HK6+8gv/+7//GxRdfjPvvv78cH0HVMOBv0ebNm3HXXXdhyZIlWL9+Pb72ta/h3HPPxcaNG3H99dfj+eefx4oVK8rZVyIgPGyAt1mQHbkN8vQxteUSzTkHN3TItCkCxdBX8T0xXSf94sCccxhGdawACoqSKvcqun6lYpih5c0xYYxBH9sC7/2d2aOPnEEbXcUuyUXAWizfkmFHNDVnLqSDjYzUflQtICJLDbqMNjEPWih/Ths3dIg0geUvvuib/gKDX4zb86DrOnS9coLEddNEU3wRYEbUSYtHnBNfAc6gWQa4WSdGqGXMcersTF0cZFlWisN2gp/85Cc499xz8Y1vfAMAcPPNN2P58uW47bbbcN1112W0v/3227H77rvj5ptvBgDsu+++eOmll7Bo0SKcdNJJJXa+OB566KGU36WU+Otf/4o33ngjZfvxxx9f9LGL/rY/8MADWLJkCZYvX4799tsP3/rWt3DWWWdh2LBhyTYHHnggDjrooKI7Q5QPY8/hcP+9o8/DqR/6uLaarCKvmwYcz0u1IEgTTf2RUkIIUdGLerkJegevZOEkJhY2oO85HOKjHqiuvigWa7Wg7dJUV4KCNZtAk+GbQibMXmsgolpOgnwnoFTBZHHN0P3k6/7fxYRoyrJfIj2jnOeZlBKe8CA8AZauFjjzPbqQzQDXF1CaZUA368yComCmY9BjIKPI7fz587FgwYKUbY7j4OWXX8b3v//9lO0zZszAc889l/Xoq1atwowZM1K2zZw5E4sXL4brujCMwfubfOUrX8nYdv7556f8zhiDEMXn+hb9Tf+v//ovnHbaaXj22WdxyCGHZG0zYcIEXHnllUV3higfTOMwJo6A6nUh4qvsmKVDGxmu2QGFcQYzEoJnu5Ce6Ltq5hkEak04Bb0w5hv4/Lvu+HFMDfpubb7tgJC+XUMV5LZVgkQNt0aFMRbo21Mo+sIYgxmx/CRsIfusPvLs53keNK089eyE9OA4/aer0xeLxEWczC6emMbrUDSVlw0bNqC1ta84fLZo09atWyGEwKhRo1K2jxo1Cps3b8563M2bN2dt73ketm7dijFjxpSh98GQQW4kBkjRV5lNmzYhEsmfMxAOhzF//vwBd4ooDyzhlt1vublSCrLXBWzPN4ZsMmsqcZZxDiNs+V5VrgNZIEKjAtxhVwNSSnielzzZC/WWZxGDSimg24HqtPumrHQOtFpAs1mzgpkIBje1wi7zJg90PjDOYUZCkEJCeC5EgEhoOc4zKWWaaMoBj09bS9XnpQtAtwxodSqaVPy/Uo8BAK2trSnCKR/pf9NCf+ds7bNtr2WKFk6e52XMjwL+h2JZFkyzhj1h6hwV8yA2dQFufyXeA9Zmge/aVFNfbMYZGOdAgTBrqReawUAIkZrHoTGouA9Xtr+IZma6oCuloLZHge60QceT/nbbA0bWR4mVYlAqHmmDv8Kqnt8/0zUwjWfkyCWntOP3R05vDFzXoBu6fw7lgWscUmlAntXS/nAu4QkXBjPABlC2REoJV8QghARLW7OUOIczpuwSq+YAmJZZ9+aVChIqsM9I7mMEpb29HZqmZUSXtmzZkhFVSjB69Ois7XVdx8iRI4vvcBn4/e9/j3vuuQdvv/02GGPYe++9ccYZZ+BrX/vagI9Z9Ddt2LBhGD58eMZj2LBhCIfDGD9+PObPn1/RMBlRPMr2IDZ0pImm+HMdNuTm7iHoVWnkulDGL+MQsCHhoNfuhO1GIWX1uUcrpTKTX3nfgJCOZurZ76hjXqZo6k+P67dpEJRUEJ0xiP90Q2zthdjaA7G1B7JQDcUahjEGvTmUEkFWAJDFBVx6Ak7UhgxgIJpLbCooCDiQcKDgwRUx9NpdsJ3eolbb2W4UUacLnnCTx+17cX8LA8t9E8RyXwuIgWOaJg4++GA8/vjjKdsff/xxHHrooVn3mTJlSkb7FStWYPLkyYOa3wT4YvzUU0/FqaeeijfffBMTJ07EhAkTsGbNGpx66qk47bTTBrwqtOiI09KlS3HllVdi9uzZ+MxnPgOlFFavXo1ly5bhqquuwkcffYRFixbBsiz893//94A6RZQfuT2aN31GdTlQI7yaWp6e7WLpiyYX6W/WEw484SBkNkHj1fMecyYmxqciEquHNF2HZuReHaTyiaZEmy67/mq2ZUFJBbG9N9OVXijIjhggJHhzlbtEDxDGGYyWMKTnl5nxCtwsuLYDM2zldxbPeZ5l/8550oVyCw9IQgq4ng1POpnRpP4wQKl41BBpESiGBprlKF9yeFAuu+wynH322Zg8eTKmTJmCX/ziF1i/fj0uuOACAMC8efPw4Ycf4q677gIAXHDBBfj5z3+Oyy67DHPmzMGqVauwePFi3HPPPSX2u3huvvlmPPHEE3jooYdw7LHHpjz30EMP4b/+679wyy234JJLLin62EWPIMuWLcNNN92EU045Jbnt+OOPxwEHHIA77rgDf/3rX7H77rtj4cKFJJyqBCVVyqqqXMhOG9ou1SMqCsEYg2maKTkRCgL5Lg6204uwVT1WDHkjs/2M/fKJJgD+arJCBGlTB6heJ28pH9ntgIWMmsrtKxaua1AaB3oL/M2V8sv6aLnz33KfZ7kRMrfHk+PF4Hi5CjPnKJLC4n2Nn9uca9B1HVqeftcbgz1VBwCnnnoqtm3bhh/84AfYtGkT9t9/f/zlL3/B+PHjAfg5z/09nfbcc0/85S9/waWXXor//d//xdixY/HTn/500K0IAD/Ic+ONN2aIJsDXLDfccANuvvnmwRFOq1atyuoEetBBB2HVqlUAgMMOOyynQRYxBAQNRxaob1eNcM5hWRaEEL4hX4ELuoKCkB50bWgjL0r5/ZCqTFPaQXRgna6m609y8UMBZNSt/tpkJRLIngC+eOcFBAjnHKZpJhcwFDrPpJKQSsTbKrieP1Uuk14iCmAsI9Kk4Oc4qfj0XArxXzWuwTTr+29XTVx44YW48MILsz63dOnSjG1Tp07F3//+9wr3qjDvvPMOvvSlL+V8/ktf+hLmzp07oGMXfcu12267YfHixRnbFy9enPSG2LZtG4YPHz6gDpUD27Zx4IEHgjGGV199dcj6UTUkVqAUokbvwBlj0HUdZsDVNEOd6ySEh6jdBdvthVCFB3nOeeFVUAEK9bJIg0xpBCkHErQ4cE2T/zujoCCZhJQCIsA5kRBP2ZauJ5BKQCoPgIRSEj32DvTaO+EKG0L1i0Lls9OIi7JcOU26Xv/TzdlQZfqvUQiHw9i5c2fO5zs7OxEOD8zPsOiI06JFi3DyySfj0UcfxSGHHALGGFavXo233noLf/jDHwAAq1evxqmnnjqgDpWDK664AmPHjsVrr702ZH2oJhhjYK0WVB4ncQDgbfV7F+dfsOMZUBJggkHn5qBP2QkpEHN7+m1JhN8z774TBJqOaDaBTju3aOAMaGkQ4RSEKpmqrSQsccOU9pVQUJBcJp/zlAfP8cAYh2WECiZas3ikKH0Qlir3NHmu73bWyFI87dyPPPXtyzmHodf/6rmcKOk/Sj1GgzBlyhTcdtttuO2227I+/7//+7+YMmXKgI5dtHA6/vjj8fbbb+P222/H2rVroZTCUUcdhQcffBB77LEHAOCb3/zmgDpTDh599FGsWLEC999/Px599NGC7W3bhm33CYpsVgv1AB8Zgeh2ck7HsRG1a4yZgDE/MpOeW6GUv8oucVEX0kHUccDAEbZaofPBu4N1s+R2SLjgMID4YNR/IAmax8E0DoxqhtrSnfk31hjYrk2ZhYDrEMYYWEiHKrCCkIVqJ5dvoDDGoBkGRL86b0nRlGzU96NSEjEnirBV2LZC1024Xt91059yLiSaihdPAGDqTWUz1yQahyuvvBLTpk3Dtm3bcPnll2OfffaBUgr//Oc/cdNNN+FPf/oTnnrqqQEdu6irh+u6mDFjBu64446sdWqGmv/85z+YM2cOHnzwwYImnQmuu+46XHPNNRXu2dDDdA5t9zaILT3+0vQEGgMfEQYLUBi42mGMwdBCcLxocpsvmrJPhylI9No70WyNAOeVF42JvKZs+H3kYOBg6Et8DTJYKKX8McvgYB9rBXpdKNsvTcNCOhCprXp9pcKbTIh8wsngdVVuJh+argFKQcRrPCqWXuQtHeX7Men5o5OGZsLznH5Rp2yiKXcUNfNVs4knQONGjTn/V45EzLzUYzQKhx56KO69916cd955GUWGhw8fjnvuuQef//znB3Tsor6RhmHgjTfeqMqLsFIKs2fPxgUXXIDJkyfjvffeC7TfvHnzcNlllyV/7+zszKjjUy8wQ4P+sVYoV0C50p+tCNVJAcw4umZAKQlX+HfDQVaROF4UIbNyBW+VUvCEDcfLP1WamLZjGg80WCghobodfxVZ4ooY1sFbQilu8Y0GMzTw4WHfeiB96tLUoA0L19V3Ph+MMeimAa5rkJ6AlNlX1/pRWgkJAeE6cIUOQw9B59lFN2McumbA8aJgTEOwIVkBecwxM6KtmgXLqP0bunIxFKvqap2vfvWrmDlzJpYvX4533nkHADBp0iTMmDEjcHAlG0VL+XPOOQeLFy/G9ddfP+AXLYYFCxYUjAitXr0azz33HDo7OzFv3ryijp+rKnQ9wwwtOS2npILqcaCirr/SxdDAarg8B2MMphGCrhlwhQPH6y24jyOiCKEywklKgV6nM+5DAzAUjiIFcV5WnoTc2pMpDKIeZKwbvL2pZv+G5YBbOtguTVC2l7xJYJbesJ8J5xzc5HBtN2OVbV9Utm+7kC6E44IzDZbhVxXgTINUvtGlkB5EQoQpDwxaFiMBlRlJKpAczrkOQzOh8fq6oSsPMv4o9RiNwZNPPom5c+fi+eefx1e/+tWU5zo6OvCJT3wCt99+Ow4//PCij120cHIcB7/61a/w+OOPY/LkyWhqakp5/ic/+UnRncjH3Llzcdppp+Vts8cee+BHP/oRnn/++QwRNHnyZJx55plYtmxZWftVDyhXQH3Uk5oTYwvfTLEtBNZau4KScw0WD8OTNkSWZdmJMhGJC8nO6CaYWgQhvQm8TAaZSilEna6kaEq+sspftymIVYLsiOZOBFeA3BEF36W2yuiUGz/fyQAoaJGEM5aRAtc//y+BPyUkIZSHXsfOOUXE4hnmCh5YoOGkT14ppfyf4t9RnZsImQOPAhBEf26++WbMmTMna02+trY2nH/++fjJT34yOMLpjTfewKc//WkAwNtvv53yXCUu0u3t7Whvby/Y7qc//Sl+9KMfJX/fuHEjZs6ciXvvvRef/exny96vWkcplSma+j/fEfNzQWrcaZozDSItx0nFL/RI2+qIHriiF81W4e9bEDzhxlca9X8V6d+d5yiUaeoh8AIRJ+VJwC6wfNyTgCsAk/JDiD50zUixHkhM0fXHF0mF7QkyPZiy15RL364g/Vk7poGBg3MNph6CNgh5hrVMOYv8NgKvvfYafvzjH+d8fsaMGVi0aNGAjl30VXWgWeiVZvfdd0/5vbnZn3rZa6+9sNtuuw1Fl6qbqFfQ8FJ11n6JDlMPwxWpK9nymfcpKPQ4Owb8ekopOKIXjpeo18WzDCTxpdb9Ik+MMRh6CIYWIDfJC+ZDpVwJ1ripTllRSvlFcBXANFawyG29wbkGzrV+XmbZpm6yRZ+CIABoefdJTN35+UuNV3S6FCjHqTj+85//5K2Pp+s6PvroowEde8BXjXfffRfLly9HNOqvYBposTxiaCi0XBsA4AioIGaCVYzGdZh6n8mZQu56T/6FSUAoG66Iosv+CF6OZNqs+yuFXmcnYm5XRqQp12tJ5cHSwwibLcFEExDcg4jGpCRKKQjbhdsRhdcVg9cdg9sRhdsV84VUg8AYgxXPAcxNsM8juzgSGYOzzkOImG2wjGaEzVY0hYYjZDb2NDJReT72sY/h9ddfz/n8P/7xD4wZM2ZAxy5aOG3btg1f/OIXMWnSJBx99NHYtGkTAOAb3/gGvvOd7wyoE5Vgjz32gFIKBx544FB3pUqpbUFUDJbehJDRHE+6zi2a0p/zZAxd9n8QdfN7e0klYHvd6HG2w5N9K+dyLbHuDwODphVpF2BqgURRLRVsrjQy5kL0OpmJ0Z6A2xUNXJ6kHvAXUFgIW00wS8gpyv3dlgAENG6gJTwSYasJmqbD0E3oxX7XiX6oMj0ag6OPPhpXX301YrFM77xoNIr58+dnrWMXhKKF06WXXgrDMLB+/fqU5XynnnoqHnvssQF1ghh8AvnYaAFLtVQ5jDGYehjN1giEjcxEwWyiqe85hai3E532f9Dj7IAnHUgl4IgoHK8Xvc4OdMQ2otf1n0u9Cy9c5sDQQ0UPJIwxsOYCifsRoyEML4OgpISI5SltowAvGjyyWC/4vmcGtAEawCa+19m+3yGjlQRSmUlM1ZX6aBSuuuoqbN++HZMmTcINN9yAP/3pT3jooYfw4x//GB//+Mexfft2XHnllQM6dtG3pCtWrMDy5csz8ob23ntvvP/++wPqBDEERExgZyzvDQhrserq4pcwyISbXocit2hK4EkbHmzYoiv9qP18kTM/Kz+fScsafdK4kTKNWAys2QTiVhIZhHTwNlpKlkA6haellSOgItkT9uudkNmMXruj3+pPjoFO1+ncgqlHoAeddiaICjFq1Cg899xz+OY3v4l58+Yl04kYY5g5cyZuvfVWjBo1akDHLlo49fT0ZDWO2rp1a8P5IdUyjDOgPQL1UQ6fo7Du1z+rMxhjCOnNiHnpAmiAx+v3c+7SEV687pafKM6Zv4pI14oTpkopKE9CxYUAC2lgkSYg6vqJ/pyBRYyG9SrKReA8PT9bv7KdqUI442iyhsEVMTieHZ/N7BNO2erS9YeBx933aWq4ktCquuIZP348/vKXv2DHjh149913oZTC3nvvjeHDh5d03KK/6V/4whdw11134Yc//CEAfyCSUuLGG2/E9OnTS+oMMbiwkAGMbobqcvzBt58BZj2X6bD05vh0W3bROPCLi79n9siT7xkVMtoGFGVSQsLrjPo2A/3hDFprGJzEUm4CJ9PX5/c9CInp7MR3U0gPUWdncpFDn3hKjdaaWhiW0QzO6PtXecgAc6AMHz4chxxySNmOV7RwuvHGGzFt2jS89NJLcBwHV1xxBdasWYPt27fj2WefLVvHiMGBGRrYiDCA1MFcKeUnzDJWdwKKMYaIOQymbILj9cIW5SnsnPRoypEUzpjmTxUWe1yl4HX0ZrePkAqioxdseGMU8R0ImqlD5stxQvw8qLPveSloXEeTNdJ3EI+vLNW4mcyH8r/rnD4zoiEpWjjtt99++Mc//oHbbrsNmqahp6cHJ554Ir71rW8NeGkfUT0oqSB77HgJlvhGU4PWbNXdFJDODehmGzRPR6+7vej9c1V0T4in/m0409BkDh/QQKPsAp5bCpBRB1oz5TVlg2l+UV/l5LaI0EK17VdWCRhj0DUza74SQ31dC2qD0qfqGmlVXSUZ0KT06NGjC9aPI2oPJRXE9ixu4o6A2N4LPiwMXodL3C29CY7ohSczl63mI7tTcsKVnINDh6GFYGgWdD7wRHtp54+WAICMedAqV6e45tEjFgSczERxzqA3WeA6CQGiuiEDzOphQKPgzp078eKLL2LLli2Qaf4n55xzTlk6Rgw+stvOG9mQHVGwXZrrMjzfYu2CqNuJmNcFVuTFJVdSeLM1YsBLvdMOFaAN3UnmgzFfIKmwCel6cedwDqbTdBNRK5TDh4muE+WgaOH05z//GWeeeSZ6enrQ0tKSctFhjJFwqlGUVP70XN5GvuN4rZdhyUXYaE36POnciq+EK/4OTechRIxh5RFN8Ad45RYos0L5TYFgnEGz6vP7SxDE4FC0cPrOd76Dr3/967j22muz2hIQNUpA5+RGKU/BGEerNRoxrxO26AGS03Ia0mvdGTyMkN4GxhQ408u+woiHjILJzbxOxSxBED5KqX5eWwM/BlE6RQunDz/8EBdffDGJpnoj4HRFI81qaFxHkzkCETUcSBgNMAZPOvCkAwY/uqRV2L+GGRp42IDMERFkhgZOyc1Fo5SCFALC9ZIDCtc16LrecMV/ieqHfJyqh6KvDjNnzsRLL71Uib4QQwlngaZ7GrH+GWMMjPXlwujcREhvhqU3V1Q0JQrTer0OlMbAI6b/d0p2DOARE1pbmPJ0ikQpBdd24Dluyl249AScmA0pCkyNEgTRsBR91T/mmGPw3e9+F2+++SYOOOAAGEbqne7xxx9fts4RgwdjDLzZhOzIs7LM0sBo9dGgIOx4Udo0mKVBC5l+MrpWfx5bg4XwvLyFfV3bgRkuvo4gQVQOMsCsFooWTnPmzAEA/OAHP8h4jjEGQXdqNQsPGYBUkF125pOmBq11YHXViOKQjpdVNAGAciUEc2E0kWfTQFFKQbiF69dJIaDpjRdhJaoTmqqrHoq+KqTbDxD1BY+YYJYOFXOhPAXwuKCiZduDglIKXjS7aEq2cQRUWFIezkAJmCCbLyJFEETjQrdTRAZM42BNqQWblScg4kvimcapREWlkMp/FGrmCGghEk4DI+j3lr7fRPVABpjVQ+Ar79FHH42Ojo7k7wsXLsTOnTuTv2/btg377bdfWTtHDD1KKnidvfA6o5BRBzLqQHTH4HX0Qno0LVtuAi8XpmXFA4chkOjn5I1FVBWqTA+iVAJfGZYvXw7b7st9+fGPf4zt2/vqe3meh7Vr15a3d8SQopSC1xWF8rLcpUgF0RltGF+nwSLw9BsN6gOGMQbNyB9sZ4zRVChBEFkJPFWXfidMRlr1j3IFUEAYyZgLLW1ajxg4jDMwQ8vvFM4AXmcFlwcbrmnQdAXhZUkSZwyGZdJUNFFV0FRd9UA5TkROMgqiZm1DwqmcKKWghQx4nsgZVdcjAy8YTPgwxqCbBriuxa0J/A9b0zVwjfL3iOpDKgGpSkuPKHV/wiewcPJNAFnGNqKOCZCkTFPm5UG6AsJ2+6Y+GXyb9n5/A6ZxaGGTok1lhHMObppD3Q2CKAgJp+qhqKm62bNnw7L86EIsFsMFF1yApqYmAEjJfyLqA6ZxqEIJ4JzEc6kIx4PIsCCIf646hx42/Sk8yrkZFKSSEMIvb8O5Bs4oAkUQRB+BhdOsWbNSfj/rrLMy2pxzzjml94ioGrilQ9oFistSjbSSUFJlEU39kApKSHCdPudKo5SC7UYhZOp3njEOy4hA4xTpI4YOP8eptIgR5TiVh8DCacmSJZXsB1GFMN0vHitjOcSTxsEtGtBLIUgembA9cFOnqEcFUUoh5vZCysy/h1ISMacbYbMFnKJ+xBBBU3XVA10FiLzwsAkesfx8m/7bLQN6KxWXLZVA7tS0grXiSCWyiqb+uILSEQgiG++99x7OPfdc7LnnngiHw9hrr70wf/58OE7+KgizZ89O5k8nHp/73OcGqdcDh1bVEXlhjEELGeCW7icqKwVofvkVpVTSloIEFFHLeCL/lLTfxoGpU+FfYmio5ojTW2+9BSkl7rjjDkycOBFvvPEG5syZg56eHixatCjvvkceeWTKjJZZA4s1SDgRgWCMAZo/YCip4NlOyjQTMzTopgFGxoxFwQ0dMp9nEwBGdQIrjlKU+0FUN1JJyBK/p6Xun4sjjzwSRx55ZPL3CRMmYO3atbjtttsKCifLsjB69OiK9KtS0ChHFIWSEm5PLCM3R7nC305O4oFRSkExFFyZqFEeWcVhLMilMNOShSBqkc7OzpRHJVbFd3R0YMSIEQXbrVy5ErvuuismTZqEOXPmYMuWLWXvS7kh4UQUhRdz8+bceFGbXOULoKSCG7Ph9MTgxRyoPGZYesQE12k1V6UxtMLTA0HaEESlUBCQJT4Sq/LGjRuHtra25OO6664ra1//9a9/4Wc/+xkuuOCCvO2OOuoo/Pa3v8WTTz6Jm266CatXr8YRRxxR9fZGNFVHBEZJVdjXKb58ntFgnxWlFJxoLNU4lDEonsgV4+CcgWmcVtINIpxr0DUTnsiezMoYh6GTcCKGDqUEVIk5Son9N2zYgNbW1uT2hD9jOgsWLMA111yT95irV6/G5MmTk79v3LgRRx55JE4++WR84xvfyLvvqaeemvx5//33x+TJkzF+/Hg88sgjOPHEEwu+n6GChBMRmEArwJLtSDhlQzhudrf1uEBSUNBCFhgZiw46ph4CZxyOZ6P/H0njOiwjHHA6jyCqn9bW1hThlIu5c+fitNNOy9tmjz32SP68ceNGTJ8+HVOmTMEvfvGLovs1ZswYjB8/Hu+8807R+w4mJJyICkCDfjaUUhAFEsEBQHgedJPymgYbxhgM3YKumcnVR5xxEkxEVeAnh5e6qq64HNT29na0t7cHavvhhx9i+vTpOPjgg7FkyZIBeZ5t27YNGzZswJgxY4redzCpuyvCI488gs9+9rMIh8Nob2+v6nBfrcE0HkgTcb3uvlblIWDqlwpSI5CoGIwxaFyHxnUADI4XRU9sG7qiW9Ad2wrb7anY6iSCyEXCjqDURyXYuHEjpk2bhnHjxmHRokX46KOPsHnzZmzevDml3T777IM//vGPAIDu7m5cfvnlWLVqFd577z2sXLkSxx13HNrb2/HVr361Iv0sF3UVcbr//vsxZ84cXHvttTjiiCOglMLrr78+1N2qGxhj0EwDIk8ZFmZoVFMtFwEDcZTXVB0opdDr7EgpwaKUgO11w/F60WQNB+d1dQklqhiJMvg4lViyJRcrVqzAu+++i3fffRe77bZbynP9FwutXbsWHR0dAABN0/D666/jrrvuws6dOzFmzBhMnz4d9957L1paWirSz3JRN2e953n49re/jRtvvBHnnntucvvHP/7xIexV/cFNHUqprKVCmM6hhyiBNheM+UnfqoBlA62iqw5srzujbl0CBYlepwNN1ggSukTDM3v2bMyePbtgu/4iKhwOY/ny5RXsVeWom9DA3//+d3z44YfgnOOggw7CmDFjcNRRR2HNmjV597NtO8PTgsgNYwx6yITRFAI3dXBdAzd16E0W9LBFg0gWlFJwXRd2zC44xcM0Dk4mokOOUgqOF83bRiovp7AiiHJTqhVB4kGUTt1cof/9738D8JdPXnXVVXj44YcxfPhwTJ06Fdu3b8+533XXXZfiZzFu3LjB6nJNwzQ/uqRHLOghE4xzCE/Atm3Ytg3P9cjPCYCUEnbMhvCE/3kwBsWzpztxjcOgiF1VIJWHIElpJJyIwSJhR1DqgyidqhdOCxYsyCgCmP546aWXIONL5a+88kqcdNJJycx+xhh+//vf5zz+vHnz0NHRkXxs2LBhsN5a3SCEgB2z4Xme7/UkFTzP8wWDaNwTVSkFx87iC8QYwAHFfQGqmTrMiAWDInYEQRBVT9XnOAX1kejq6gIA7LfffsntlmVhwoQJWL9+fc59LcvKaf5FFEYpBdfJfdftOi6YxQa0NLXWkfl8r+ICSULBMMjostrgzF9RVyjqpJObODFIVHOR30aj6oVTUB+Jgw8+GJZlYe3atTjssMMAAK7r4r333sP48eMr3c2GxfMyk8TTEZ4AN0k45UIpRcKpymCMwdIjsL2enG00ZkDj5LdFDA4knKqHqhdOQWltbcUFF1yA+fPnY9y4cRg/fjxuvPFGAMDJJ588xL2rX4IU9RVSwAANMLlgZBhalZh6E4T04MnMulmcaQhbbUPQK4Ighpq6EU4AcOONN0LXdZx99tmIRqP47Gc/iyeffBLDhw8f6q41Ng2YIx40isQYI6P1KoUxhrDZBiEdOF4UUnlgjEPnIXDOYXtdUAB0bsLgYYoaEhVFKlWy8aqkBTtloa6Ek2EYWLRoERYtWjTUXWkYOOcFE8AbKb9JKT8xXgivn2DMPaBqukYDbhXDGIOuWdA1Pw9SSg/dzlYIry+vzwbAoKHZaofOKeeJqAyqDHYCiuwIykLjjGhERdACmDXqel3p85wopeA4ti+agH56SSFb2I1rHJpGZpe1glISXc5HECpzMYSCQJe9BVIWzvkjCKK2aYwRjagYnHPohg7PzT5g6LreMIaOQmTxrkpZmOX7OHHGoekaOOcUbaohHNEb93fKhUJMdCPChw1Wl4gGohw+TOTjVB5IOBElo+s6OOPwPC+5koxzXxw0UkTF83JclPppI03TYBiUKF+LOCK/kzgAOF4vIsawyneGaDhoVV31QMKJKAtc4zDTPG2klHBdBwq+dtA0vW7znfxIU+HES1VicicxdAT52ynQ35eoDCScqgcSTkTZUUrB9ZyMpHFPeNA0HYZu1N0UVfDyMvX1vhsJjesQIosTfP82jC6pBFHv0FlOlB3Pc3OutBPCA2MMhl4f01VSSnjCgSe8uB8Ty+vL1EhTl/WGpTfDEb0F2rQMUm+IRqMcRXqpyG95IOFElBWlFDyRf2WR57nQtdovMyKlQMzpy3tRUGBgyX/TYawxS8/UCzq3YGrNcER3ynbVb9Vkr7sdMa8Dlt4CS2sCY/T3JsqDVLIMU3U0lVwO6KwmyoqUwU7soOVIqhWlFGw3lrk9R44LYwymSUV8a52IMQwRYzg48yOHCgoKMvmQ8OApGz3uVnTYGymnhCDqEIo4EWUlaKaPqnE7cSlFzrwmfxD1Y066ZkCLR9dINNU+fg27ZphaE6QS6HG3wZXZp++EctHtbEWrNWqQe0nUI2RHUD2QcCLKCg84NRG0XbVSOOTtS0OuaTQ9V4cw5uey5RJNCVzZCyHdISkGnBD2CcGeWJXFwKFxuvTXGrSqrnqgs4coKwlTx3yrzBjjNSsmlFKQSkAEdIimGFP9kq34b/Z2sYoKJ6UUhHIgpBsXdBy21w1X+lPJHDo401MGTQYNhhZGwtVe4wYMLURRUYIIAAknouyYhgXbycz/6Xu+Nut5SSkQc3uTfj4MhVbIMUoOblD6pqIVYqILjHEYPFIWYeJJG7bo9gtJg8OVUchkGZjMlZ0KgFBe2jYFt5+hpytsxNweRMxW6Fptnp/1DkWcqgcSTkTZ4ZzDMkNwPTclWVzjGnTdqMlok1ISUacH/bO4EoNjLvuBevSrIvrQuZV1u/+96JvKdWUvXKcXnOloNccWPK6QLhRkPErkIup1+NEtxZIJ6AlYfH1P33cw9fuWEPep39Fc5x9D1OkBY71gYDB0C4ZmkvivEvxVdaUtqqFVdeWBhBNREXzxZGVM2XnCgRMvTaJxHbpWG+LC9Rxkpr5LJAahdAsCXTOga/XhVUVkhzMtw54gXTT1R0gHO2LvwRG92BF9H5beBqmc5JSazky40oZQfVOA2UULi/8/u2hKFUnpvmLZ2gAsbShQUHC8GFzPRthqqfmcxHpAlSHiRMnh5YGEE1FREqJICA8xtyflOSFdOF4MIbMJGq9uY0gvp2O0TMadABYXTDp4lb8fojw0GyPRId1+Yiczty+zVIuEp2x47paUrR5Sp7czRVMWb7Asoij12cxtmceIR6Wy3MAoKETtHkSs5pq4wSGIwYCEE1Fx/NygnhzPKsScxIW5+u5qpfKdwQvbJygwpmAa2adviPqEMY42awwc0Y2Y6Cq4yq6II/s5TCliJVH1MdEiXcikPp/LHCSbmMoviiR67U5wpsHQLYqkDhFCSoiAPnn5jkGUDgknouK4Bep7AQqecGHo1SU6bDcKV6SunMpXTqUahR9ReXxvpxZYegu2x96DVH05SAMt6hwkupPNoT7998w8PBWXV33Te7leK+GCn0AqAdvthZQWTCMU6H0Q5YNynKoHutITFUcIt2AbL0CbwUQqmSGaCmFo1SX8iMFHY4O5Ik2lRUJV8r++LSJNAGUvB5ROok22tq6wA9txEEQ9QhEnouIE8wivHifxhFdT1udyDDwaNyiviUBIb4PrlD5dl25e2e8ZJKbjstdG7FuwkGgv4aVYZyjIZGI5oLJMCeb+nidwPQeaScPHYCKVCFzSKt8xiNKhbz5RcTjXIAvcoSZqfw01Uko4XjRvm9RBhcHQTRga1aEjAJNHYPJmOLK7cOO8qDwr6vqLp/4iqK+FwcPJ3zVuwNSaIKTrO4czDgYGx4vFpxUTYitf/lT/o/t5i9FYN3TdgK6Z9N0fBMjHqXog4URUHEMzYRcQTvoQ5zdJKRFzugJfWBQUTD1EgolIgTGGFnMUYiKEqLsTAoXy+3KTiASlRoTSE8AZLK0FltaUFFE6z+4Anl5mxdTDUEpBKQnbjUKoQtNvqdN3Cgqu58ATLkJmhHL8iIaBhBNRcTSuQ+cGPJk9j8nQrSG1I5BSotfuQLHThRqvDQ8qYnBhjCGsD0NIa4NUHmyvGz3eRwM4koJSgM7NZI05U2tCWB+WFFScaSUJFr/4tIaQ2QQhPbjCyREdzp3zpJSC49qwzHDGc0T5EEpAlBgxKnV/woeEE1FxGGMwjTC41OF5dnJlR7Usb3ZFDBmiSQFQCsghjDjTqt57ihhaGGPQmIGIORw6N9HlbIFE380Dh58XJ6QDgMHUmmBpLRDKhlISGjdgaS25hVEZNTtjLGnaKpVE1O5Ke6n8LyakB6UkRZ0qiJQSskQ7gVL3J3xIOBGDAmMMhmbC0Mxk4quChOPFEHO6/LwhxmFqIRh65YuNKqXgCQeuiOVPuMwhniwjUsHeEfWGqTdhpL4npJQweBNGhibmKT3UNKh9S4czjpDZhJjT572WL1k8sWJPCA9ajVQCIIhSIOFEDDqMMQjpodfuRErtNyVhe71whY2I1Vqx11dKodfuTPHbyT4oxPNJ+oknjRuw9BCtoCMGBOccjLGqr9eocR0RqxWe8HOY0ksnAQnB1Lfd9qJgwoahDX0UuR6h5PDqgYQTMegopRBzupErp0gqgZhbLgfmbK/dkyKagHx31CqxI5pCw+lummgYGPML/WqagZid6vyfLpqS25W/KnWgxp9EbpSUJdsRKJqqKwsknIhBR0iv4J2PJ2yU09vJEy4cLwqRI0G9EBrXSTQRDQlnHBrXizK9dIWdNUpFDBxyDq8eqjteTNQl6dGeXJTrwut4MUSdzoKiKV89OsppIhoZ0wilea0VPjcp6tRY7LHHHvFVmn2P73//+3n3UUphwYIFGDt2LMLhMKZNm4Y1a9YMUo8HDkWciCGg8pEbf2l1DEIUjm6lky6gQmYLOKdThWhcGGOwzDCkFPCEC08W9qcqXBibKAYhRRmK/FY2x+kHP/gB5syZk/y9ubk5b/sbbrgBP/nJT7B06VJMmjQJP/rRj/DlL38Za9euRUtLS0X7Wgo0GhCDjs4NFK4Cxwa0tFkpBdvrheMlcqRy+89k3R99pS4so6nqCg8TxFDBGIOm6dA0HV7MReGok0JPrCOxd7K9xnVo3ICQLhR8LypDs8A5z1r+hfCpheTwlpYWjB49OlBbpRRuvvlmXHnllTjxxBMBAMuWLcOoUaNw99134/zzz69kV0uCpuqIQYdzDRrPv+rG1IOb6fnJ5N3ojm1HV2xbP9HkE1Q0JdC4AY3rJJoIIgfFr5pLWJAoeNKF7fXCk248Mmyj1+lEd2wneuwO/99YB2w3ipjdhajdBceNkgdRGens7Ex52HZxBc1z8eMf/xgjR47EgQceiIULF8Jxckcm161bh82bN2PGjBnJbZZlYerUqXjuuefK0p9KQREnYkgIm83otbuy5jvpmgVTD+XcVymZrNCuIOGJ/NMGhQqW9oczDSEzf3iZIBodQzMLnncDRikoSLj9akZ60oGddkOkcQOGZiUrEhiaCV0zK9OnKkDKMhT5je8/bty4lO3z58/HggULSjr2t7/9bXz605/G8OHD8eKLL2LevHlYt24dfvWrX2Vtv3nzZgDAqFGjUraPGjUK77//fkl9qTQknIghgTGOiNUKId34Chzpl4+ADkd0oUv0wBM2uqPbwONh/f53rcFJr+2VHc78CBPVniOIwnCuxU0yexF09Wug81Zl2hxk209BwpM2PNkXKXFFZnFuDn81rFQCYIDGDOjcgCOiACQY02AZTdB59Quucq6q27BhA1pb+7zyLCt7dH3BggW45ppr8h5z9erVmDx5Mi699NLktk9+8pMYPnw4vva1ryWjULlIv97WwnRtXQmnt99+G9/97nfx7LPPwnEcHHDAAfjRj36E6dOnD3XXiCz4ZR767hJ7YtshVKpfjET/u6yBn0z5ok4Rqy2jACpBEPnxTTJbIKQHu0K+a9ko5sZJwuvTYUrCUx482U9gKYFe24HGTYSNtqo3Ji0Xra2tKcIpF3PnzsVpp52Wt80ee+yRdfvnPvc5AMC7776bVTglcqE2b96MMWPGJLdv2bIlIwpVbdTVaHHMMcdg0qRJePLJJxEOh3HzzTfj2GOPxb/+9a/ACWvE0BB1OiFULruAUu8++qJO6QIqZDaTaCKIqqFwtKkSCOkg5nYiYg0blNcbCENR5Le9vR3t7e0Deq1XXnkFAFJEUX/23HNPjB49Go8//jgOOuggAIDjOHj66afx4x//eECvOVjUzYixdetWvPvuu7jzzjvxyU9+EgBw/fXX49Zbb8WaNWtyCifbtlMS4zo7Owelv0Qq2cLsvtgpV8hWJUWTn/xtwNAtcCpKShADQkiBmNuT9GsqdhHGwBmImCq8jydtSCmrNuoky+AcXqkE+1WrVuH555/H9OnT0dbWhtWrV+PSSy/F8ccfj9133z3Zbp999sF1112Hr371q2CM4ZJLLsG1116LvffeG3vvvTeuvfZaRCIRnHHGGRXpZ7moG+E0cuRI7Lvvvrjrrrvw6U9/GpZl4Y477sCoUaNw8MEH59zvuuuuKziHSwwFfcuXy31cKQUYGKTUwbXqvEgSRDUjlUQ0rWxS0spj0ARU+XGlDYsHX9FL+FiWhXvvvRfXXHMNbNvG+PHjMWfOHFxxxRUp7dauXYuOjo7k71dccQWi0SguvPBC7NixA5/97GexYsWKqvZwAupIODHG8Pjjj+OEE05AS0sLOOcYNWoUHnvsMQwbNiznfvPmzcNll12W/L2zszNjxQFRWTwveCmH0mDxi7qCkC6E48LQQ+QKThBF4nq5SyLlml5jYAGm3ip1wxSQKi6Cq1B6crhCZSJOn/70p/H8888Xfv20ahCMMSxYsKDkFX2DTdXfbi9YsCDDxj398dJLL0EphQsvvBC77rornnnmGbz44os44YQTcOyxx2LTpk05j29ZVjJRLmjCHFFedD2bfg+2Gi4YDAwcPMvX3fVs9NpdsN3eompxEUQj4w7YiqDA9Hvaaqrs0avKRbS0KrYzSNgRlPogSqfqI05Bs/qffPJJPPzww9ixY0dS/Nx66614/PHHsWzZsoI1c4ihhgMZd0OJpckDuVCylItu5gWY+RdppXxHXiHgCgca1xEymgbwegTRGPhRjyBRIYamUFv2Y0jpO4crBU3TIZWC60UhlQLA46fmYBtesqq2JfCTw0uLdZSaXE74VL1wCprV39vrL4dNT+zjnJPjbA0QMYaj192W49nERTqfgGLF5VYk7mzT7nAHe2k1QdQK/rkRDVy2I9/5yDkH533eQRoAI82NXErf3DZRlkUoF65n95vMK2ZKL9GX3PtEzGFFHI9oZKpeOAVlypQpGD58OGbNmoWrr74a4XAYv/zlL7Fu3Tocc8wxQ909IgeJYrxKSWgsBKHScycSEafcF2FW9IxzfoHll4JwEXN6YOrhql1lQxCDhSdcxNyewg37MZBak/3hnMPkfRUEDJgZ0eDE9QNKgTMTEh5cL5rMpeJM71edILt44kxDyGitetdxf1VdiQaYFEQoC3UjnNrb2/HYY4/hyiuvxBFHHAHXdfGJT3wCf/rTn/CpT31qqLtHpKGUQtTt8C96aegsDEM3wLmB1vAoqPh0GqDAmAYGBlfYkMqL39UyeMIJXsAygCutgi+gPMeFpYepbh3RsCilio7C6twcFPdnv2Bw/xJJVtap9oRgSNwESekXzOVMr5kbI7/Ib2l9rXSR30ahboQTAEyePBnLly8f6m4QAYi6nVlFEwB4KgoDZtJjiTEGjaV+VdNr2Zl6OJkToZSC40XhyfLU0rK9KBjXoJNRJtGA+DUhg02LMbBk6aJqIjOFQwOHNkS9IWodGgmIQUcqkcPwso+Y21XUMf0Vln0XwrDWAqkklPJN4+z+0wxKBYo69cdxo9Ct6vYWIYhy0xftLYyph6jWYwXxV8WVGHGiVXVlgYQTMeh4wi7YRkGWvKqGMw4w7ofzNQOeZ8MTLuQAvEykEvCEC43rNDAQdY9SCp5w4MQLcAeBzo3KIpQsQ8kVynEqBySciEEn3QRtMOCMwzTCMI2w73psdxVdByvm9oCBwTTCMKo8kZQgBkoip8mTuWpHZsLAwBlNfRGNAQknYtDhPOAFtkJ3r5xxhK0WuJ4NN0D0qz8K/qDCgKpfhUMQA0FIryjRBACmEaZoU4WhVXXVAwknYtDRuQUGntf+329TuQsxZxyWEYaph+B6Npwcieq5sN0oNG7QYEHUHcXeTJg6RWAHA6UEpCrteqNoVV1ZqI11mERdwRhDxMzuKAz4vkxhY3ASsRljMI1Q0dMMCsGTZgmiFlBKQQgXImACsaWH0WS1wiSrDqLBoIgTMWi4Igbb60naBOjMgAKDVH3TAoYWQkhvCT6dVyZCRhMcEYMXpAZXPEfLEw444yUb/RHEUOMJB7bbG08EZwWnyTnTyNtskJFSQcrS8kNL3Z/wIeFEDAoxtwsxL9ViwFO+SAnprTC1ENgQihDOOUI8AhgRuF4O8aQStfN8XC8G14tB1yxYRoSm7YiaxBMOYk536sYClh16WnkUovJIJeN1Aks7BlE6JJyIiuMKO0M09SfmdcLQQknDy6FG14zM7Ko00dQfT9hQSiBktpB4ImqK7K7g8TJHOcUTo5ymIYAiTtVDdYxURF1je4VrXAVpM1gwVvzSaiE9iCJXIhHEUCOll8Onqd8A288+hIEhbDbT9DTR0FDEiag4IkDpkyBtBhPGOEJGE2wvGh9YCt+puZ5NFgVETSCkB8eNFhD7Ki6a/BsJU7doJekQIlUZIk5D4KFXj5BwIogc6JoBjeuQSiBqdxZsX6rTOUEMBq5np5YgKoiCqYcor2mIkUqVLHxIOJUHircSFUcPUPDT0EIF2wwFjLF4KYncp4qK/yeVhONGKQGTqFoy6jYGgME/BwiC8KGzgag4Ib25QFFfBlOPDFp/BoKhWXC81PeQXrJFQcL2emF7vbD0CEwjPJhdJIiCFGtuCQAmrRitCsg5vHog4URUBKUUPGnD8XohIaExA0Jly6dgaDJHVH2dK0O34BZR8NT2esEYg6FXZySNaByUUnCFDVc4UNILvJ9flzFCfk1VAq2qqx5IOBFlRymFHmc7PJl5d8uggTMNjPllVUw9UvWiCfCTxcNWK2ynG0J6gQoE214UumbR3ToxZCglEXW6i54+Dpkt8Slq+u4SRDoknIiyE3U7soomAFAQ0LiFiDlscDtVBnhcPPl5ItGc7zGBUhJSCWiMTjNiaLAzcu4YCq0Q1TWTEsGrEEoOrx7oik6UFakEHJFuqJeKI3oRUq1VY3hZLJxr0LgGL8BNvKILFTEESCngCgfeALzFaHq5OlGy9Kk2WrdSHkg4EWXFC+jHJKQNrtVu8nTQWnpCeuCMD3rtPaIxUUoh5vZA5MplYiwecMo+AFtGE62gI4gC0BlClJeAN0S1HofRuAEGVjDXyfF64Xi90LmJkNlMOSNExVBKxfOZRP6GSfEEAAqMceiaCUOzSOBXMX6tutKuH2SVUh5IOBFlRePBciM0Vts5FIwxhMwWRJ3CxpiAH4mLOp0Im60knoiyopSCkC484RYWTQmS30GGsNlCgqkGoFV11QMJJ6KsaFyHzq28idM6t+piOkDXDESsNthub6A6dX49O48Sb4my4QkXMbcXA43halwn0VQjkHCqHmp/9CKqAlfYsL3ugivNONNqckVdLjSuI2K1QimJ7tiOgu09YZNwIkrGjzJ5iBXpAt4fzjSEjKYy9oogGgMSTkTJxLxuxNxcU1b+8mfGNFhaBKbeVLOr6fITbPqN6tkRpSCkB9ezA3uJZUPnBnTNJJ+mGkMpVfIqXVrlWx5IOBElIaSbRzQBgEKTORJGgHp1tQxjrGCyuP8cg1KKBiwiMIkBU0gvWfZnoKLJ1EMwyW6gJvFLrpSYHE4lV8oCCSeiJGyv8FSB7fXUvXACfP+b9Hp2QGKQ8wc6V8bgxmyYWgiWEclbPJhobJRScD17QPXlssEZb4jzkCAqDQknoiSC+DaJgN5OtY6phzLq2fUXTei31RFReNJBkzWMxBMBIF7fUbjwhAOl5ICjStnQNROWHqJIZw0jVRmSw2mqriyQcCJKggXJ7WmQizVj3F9l5/TAk04O0dSHVAK224uQ2Tx4nSSGBCklhPAtA4T00BvrgsZ1SCX7iaTgg1oQDzEACMUNLUkw1T5UcqV6IOFElIShhSC8/EvxDd44ORV+PbsWSCXhuL1wRObUXX8cEYWlmmhgq0OkFBBS+KIpi11Fwt27WNEUFEsP0wpOgqgANEdADAghPUTdzkC1sCy98ZY8c8aDLrSjlXZ1hlISUbsbUacbjhftF30sL7mivYxxhIwIDJ3ymeqJhI9TqY9KsHLlSn+BTJbH6tWrc+43e/bsjPaf+9znKtLHckIRJ6IolFKIeZ2BksIBoMkcURdmlwMjoHKiaFPd4Jc96ckQw4GmtAdA4rgKCqYWgq4ZYIxTBLMOqeZVdYceeig2bdqUsu3//b//hyeeeAKTJ0/Ou++RRx6JJUuWJH83TbMifSwnjTqiEQPE9nryiiYGDo0b0LkJU4+As8Z1JTY0C47XW7Bd1OmEoVkwNIsSxWucRGJ3fyolmvpj6WGKMBFDhmmaGD16dPJ313Xx0EMPYe7cuQVFvGVZKfvWAjVzlV64cCEOPfRQRCIRDBs2LGub9evX47jjjkNTUxPa29tx8cUXw3EaY0XXYKCUgu11528DiYg5DCGjpaFFE+C7imu88N2T74XVje7YjtxV7YmqRSkFx4uhx+6EndOOotwwaFyHoVsIWy0kmhoAFU8OL+WRMMDs7OxMedh2eSwvEjz00EPYunUrZs+eXbDtypUrseuuu2LSpEmYM2cOtmzZUta+VIKaEU6O4+Dkk0/GN7/5zazPCyFwzDHHoKenB3/729/wu9/9Dvfffz++853vDHJP6xchXSgUDvW6IjYIvakNImZL4MLHChK9Tge5+9YQSkn0Ol1wvFjOXLVyR5w40xCxmhEym2DqoTp14ifSKWeO07hx49DW1pZ8XHfddWXt6+LFizFz5kyMGzcub7ujjjoKv/3tb/Hkk0/ipptuwurVq3HEEUeUXciVm5qZqrvmmmsAAEuXLs36/IoVK/Dmm29iw4YNGDt2LADgpptuwuzZs7Fw4UK0trYOVlfrlsrcOdc3jHE0WcMgpAvHi8XNDPO4iysJTzpkVFgjxNxohmBSUCliKXHe5EzmBou3yP69YGDQNCP+rw7ONMphakDKWeR3w4YNKWOiZWW/3ixYsCA59uZi9erVKXlMH3zwAZYvX4777ruvYH9OPfXU5M/7778/Jk+ejPHjx+ORRx7BiSeeWHD/oaJmhFMhVq1ahf333z8pmgBg5syZsG0bL7/8MqZPn551P9u2U9RtZ2e+8iGNTdAkb43VzdeqbGjcgGVogaJxQrgknGoAqbLbDGQKpHipnTRBlb5PQjwlfuaMQ9fMeMI3CSWifLS2tgYKJsydOxennXZa3jZ77LFHyu9LlizByJEjcfzxxxfdrzFjxmD8+PF45513it53MKmbEW7z5s0YNWpUyrbhw4fDNE1s3rw5537XXXddQUXd6Egl/GXVwkaiaG8uONMC5fUQuaHIXvWTcPnO+lzWCJMvnvrDGIfGNch4xErjOokkIidSSUhV4qq6Iq1P2tvb0d7eHri9UgpLlizBOeecA8Mo3kNs27Zt2LBhA8aMGVP0voPJkE6OL1iwIKf3Q+Lx0ksvBT5etgtOoYKq8+bNQ0dHR/KxYcOGAb2XesUTDrpiW2F73RCqkGcTQ8QcQRf+HPhlgAufclL6QpX8naqPRCJ4b2wnHDe/JUe6ANY1A2GrGRrXEQm1IGw1wTRCCJkRhMwIDN2kc4fIiZTlyHOqbB+ffPJJrFu3Dueee27W5/fZZx/88Y9/BAB0d3fj8ssvx6pVq/Dee+9h5cqVOO6449De3o6vfvWrle1oiQxpxGkgYcBcjB49Gi+88ELKth07dsB13YxIVH8sy8o5v9voKCXR4+xA/whTrnwMQwsjpLc0sGdTYRhjMI0w7AIDrlAuhOuvtAubrTRtVyUopWC7vfHIa3JjXh8uBQXLiEDnFEki6p/Fixfj0EMPxb777pv1+bVr16KjowMAoGkaXn/9ddx1113YuXMnxowZg+nTp+Pee+9FS0vLYHa7aIZ0lCs2DJiPKVOmYOHChdi0aVMyzLdixQpYloWDDz64LK/RaPjlQjKnjfwpCD9nQ2cWmqzhNCgExNTCfs2ygIWPo04nmDmMSmdUAVJ6qaIpQR7xpHMDhkZT10TplDM5vFLcfffdeZ/vv2I4HA5j+fLlFe1PpaiZ8MD69euxfft2rF+/HkIIvPrqqwCAiRMnorm5GTNmzMB+++2Hs88+GzfeeCO2b9+Oyy+/HHPmzKEVdQMk6yDRDwYGoRwSTUXAGEPYbIUnbDgiGsi3yfF6oWttg9A7Ih9u1vOhX+5SmoDiTINlRAalb0T9Q0V+q4eaEU5XX301li1blvz9oIMOAgA89dRTmDZtGjRNwyOPPIILL7wQn//85xEOh3HGGWdg0aJFQ9VlgsgKYwyGHoKhhxB1ugqutPOkUzBXj6g8UooczyhfNIEBSkHTDBiaBY3r9DcjiDqkZoTT0qVLc3o4Jdh9993x8MMPD06H6hilVOCppKDmjkR2aAVddeOvnnPiBpe5hFOyNRgYwmbzoPSNaCykKsNUHUWcykLNCCdicPCE7btXB3AIBwBLb6pwj+objWkIUmQl6nTB0C3onFZeDRZ+wd7OlOnUQi7gOpU+ISqEkv6j1GMQpUNe/UQSTzrocXYUJZoMLVThXtU3hh4O1M6TNqJOJ3rsnWRTMEjYXm9GDpqK/5cdfwqWIIj6hiJORJKYm7+ALxAv/8BNmHqElsmXAc44QkZzoM8eAKTy0Ot0oskaVtmONThKKbhe/tyz/k7gjHGEzGaqG0dUjFpYVdcokHAiAPju4CJAXpNlNNP0XJkx9TA40+IRjkImo36xZSE98syqILJAPlMi6sSZDtMIQSOfJqLSJNYglHgMonToyksAQODpH5omqgx+TTITnnDQ63QUbO8Jh4RThRDSg+MFq86uawZ08mkiBgHfObz0YxClQ1deAkK6cApMSyRgTKtwbxobFnCqRypBFgVlRimJqNMdKOqXQCNjUoJoOEg4NTBKSfQ6HYGm6BKYlAxeUXhAYeqKGFxhw9RDsPQmElAlopRCr90FqYKscfThTKeoHzFoKKmgSsxRKnV/wofO+gZFKYVeZ2dRd9choyVwRIQYGIwxmFo4Xu6mEAqO57uPR8w2Ek8lIKRblGhijCNsVXc9LaK+oKm66oGEU4PiJxiniiYWrz+XDoO/8svUqXzEYGAZEXhFDORCunBFDGZAawMiE08Ei7pypsPQLRiaRUKVIBoUEk4NipejzEdieXVCQEXM4WS6OMgwxtFkDYPjReGIaKCEfMeLknAaIEJ6gWoGAkDEaqVzgRgSyACzeiDh1IAoJSEKLLdOCCidllkPCYwxWEYElhFBj114SpWSxYtHSA8xp7ug9UACBkafLzFkUJHf6oGEUwMhlUTM6YYnbQQx9PDFEw0UQ03+Mh8s2aY7th2GZvm+UJxWP+ZDSoFeu7DtQ3/IFZwgCICEU8MglUSPvaMoHyZDj9AddhVgaFaOost9oimBK2y4wkHEaqUVX3mw3d6i2nOm0VQoMaTQVF31QFfWBsFxe9NEU2KwzR554kyHRcngVYGuWeBeb9qUUqZo6kMh5nQjYtFKu2wopXII0ewYWgiWEabPkhhSpCrDqjqaqSsLJJwaAKUUnKzJ4NnEE4Oph+PeQGQ9UA0wxhCxhiFqd0D0W2mXbwpPKgGpPGiMDBr7I6UoWIMugc5NhMxmEkwEQaRAwqnOUUrC9fLlNCXymBR0biFs0qqhaoQzjog1DEJ5cN0ovAD+W45nw9I55TvBv3mIOT0Q0slquZENznU6F4iqgQwwqwcSTnWKUr45ouNFAw4UDJxrNFBUMYwx6MwAdMBz8gsnBgYhHPQKBxo3EDIbO4IY61dKJZdfWToG1aAjqggywKweSDjVKbbbA1f4hUqDDxRWpbtFlAE/6duPEmYjfQpPSBdRuwvhBvUg8n2agjvkA/4KOorUEdWEUv6j1GMQpdO4t6B1jFQiKZr6yD9g6tyExikfphZgjGVd4cXi/2VDKgEv4ztR/yil4lPVqeTLD/Nz/GhhBEEQ2aGIU52hlILrZia/+lEnIFuUws9torpbtYSph6DSBLKCyisIHC8GXTMbYsrOn6qOwRMOVA6Dy/RIrGU0USkVomqRUkGWmKNU6v6EDwmnOiGR0+R6NhSyT2T3iScfUwuRWWKNwhhDyGyGIUNwhQ0vS1SlX2sAvmTusTuhcR2mHoZWp393pRSiKY7gwaY1STQRVU0ZfJxyDA1EkdT/rWcDoJRC1O6KL7POf0fB+v1nGRESTTWOxnWEjCbwnGaXcSHQTxAI6SHqdEHIYKVGag1X2IHLqCQg0UQQRFAo4lQH+ANFsCKlCfzCvaSb6wVDs2BnFKrNFE39sd1eRKz6mqIVQsBJj74xFr+fyBV14jAMcgUnqhspAUar6qoCEk41jO+A7MJxoynbC6+i86NNRP2gayZcL5YaaSkQQZFKwHajMDSz5iOPnnDhenaKQWgKOcSTzk2YZgScbiKIKodKrlQPJJxqEKWUX5MseWedKZJyiSeN67CMppofKIlUGGMIW62w3R54onA5kcT3wxMOPOGAMw0hM1KTUUhPuMFqzyXFE6BpBkJGbb5fgiCGFhJONUiqaMpNf/GkcSOeC0OCqV5JJIxLJeF6MbgFBFT/xGipBKJOD8I1VmJEKZUimgpGW+Pvzc9pItFE1A5SKbASjZgkGTmVBRJONYRSEkKILKKp8Kohkwz9GgbOOEw9nFM45bIsUHHBpdfA1J2UAp5w4YnijC0B//PRcibTE0R1QlN11QNdPWoApRQcNwYhvRx307mFEwBwppG5ZYPhm2SG4KQVtM3t8+SvtPSEB094YIzDNEJVaVngek7y5iHb+ZAv6uRPSTbVVFSNIIjqgoRTleMXJ+2FynOrwBiDUhzZTDo40xCyWmigaEAMzUrmw+WDgWcIDaUkbKcXlhmpGvGklIKQ2SKumaSLJ50bMHQLnFE9RqI2kaoMq+popq4skHCqQpRSkErCEy6kEDkNLfvTJ54AQEHXTBooGhzGGCwjDEO34AkHrucgMzLJ4v/PYVngRMG5Bp3r0DR9SL5LUsp4EruHQj5l/Um8J8Y4LCNC5wFR0yipoEpUPqXuT/iQcKoy/GTXGGTSnLCIgSI+MHCmI2Q2VaB3RC3i5zyFwMAypu6CIKWAIwXgOQiZYXA+eEnVUgrEnGjO54MUsDb1EIkmouYhH6fqgYRTFaCUgic8SCnibs65B4J8NecSmGTmR2RB10w/ilnQVTuXyFCIOVFwpoFzDl3TKyKipBRwPQ9CBo0w5c7xs4wwdI3y+wiCKB8knIYApVS/h4Tr+SuD/DvnwgNFLvHEmQbTqN8aZERp+HYFTcnit7lRyBRPLBnd8Vd3SgjhQeMaNM2/jHDOBxTZUUpBSpn8V2Q4oOfHn5LrizxxxqHrJnRuUKSJqBuU8h+lHoMonZoxMlm4cCEOPfRQRCIRDBs2LOP51157DaeffjrGjRuHcDiMfffdF7fccsvgdxSpA0HiZ89z4XkuXNeF49j+w7WToqlYEoMFwGBoFsJmC8JWM4kmIi+JvKeI1ern/WSNLmWKpr6fUp+TUsJ1HbiuA9uOxX/2v+tCiH7ffy/5c/r5kNzPc4oWTam9jNdgNCMwNJNEE1FXSKnK8qgUhcZoAFi/fj2OO+44NDU1ob29HRdffDEcJ7/fnG3buOiii9De3o6mpiYcf/zx+OCDDyrwDoJTMxEnx3Fw8sknY8qUKVi8eHHG8y+//DJ22WUX/OY3v8G4cePw3HPP4bzzzoOmaZg7d+6g9FEpBdd1IeMTyUpJ2HbxOSVBYWBgjMPQqUApURyMMeiaEY949r9wZX6PclsYZCJEtmlAf3+lJByn8Iq4/OS33jCNMJVPIYghoNAYLYTAMcccg1122QV/+9vfsG3bNsyaNQtKKfzsZz/LedxLLrkEf/7zn/G73/0OI0eOxHe+8x0ce+yxePnll6FpQxMoqBnhdM011wAAli5dmvX5r3/96ym/T5gwAatWrcIDDzyQVzjZtg3b7ruYd3R0AAA6OzuL6p9SKuU4gC+i8h0nYwl4zqm6HJ40XINlhOHaXUX1tVYo9PnV62sPJn5+nZvDVLXv32ziKbig8sVO+c4HpGxnYNA03c/hcgKUXhliGuW71QjvM/H+1CDMgQlbQZWY3S1dv5/pfxfLsmBZVknHLjRGr1ixAm+++SY2bNiAsWPHAgBuuukmzJ49GwsXLkRra2vGPh0dHVi8eDF+/etf40tf+hIAJIMjTzzxBGbOnFlSnwdKzQingdDR0YERI0bkbXPdddcl/+D9GTduXFn6MGrU6LIcp1Fpa2tryNeuV+h88GmU71ajvM+urq6KvVfTNDF69Gj8+57NZTlec3Nzxvg2f/58LFiwoCzHz8WqVauw//77J0UTAMycORO2bePll1/G9OnTM/Z5+eWX4bouZsyYkdw2duxY7L///njuuedIOJWbVatW4b777sMjjzySt928efNw2WWXJX+XUmL79u0YOXJkSdNfnZ2dGDduHDZs2JBVSRP5GcrPj/525Yc+U59G+Rwa5X0qpdDV1ZUiBspNKBTCunXrCuYCBUUplTG2lRptCsLmzZsxatSolG3Dhw+HaZrYvDm7KNy8eTNM08Tw4cNTto8aNSrnPoPBkAqnBQsWZI329Gf16tWYPHlyUcdds2YNTjjhBFx99dX48pe/nLdtthBlrsS2gdDa2lrXF45KM5SfH/3tyg99pj6N8jk0wvscjKhaKBRCKBSq+OukU+4xOlswIpuQK8RA9iknQyqc5s6di9NOOy1vmz322KOoY7755ps44ogjMGfOHFx11VUl9I4gCIIgGpdyjtGjR4/GCy+8kLJtx44dcF03IxLVfx/HcbBjx46UqNOWLVtw6KGHBnrdSjCkwqm9vR3t7e1lO96aNWtwxBFHYNasWVi4cGHZjksQBEEQjUY5x+gpU6Zg4cKF2LRpE8aMGQPATxi3LAsHH3xw1n0OPvhgGIaBxx9/HKeccgoAYNOmTXjjjTdwww03lKVfA6FmcpzWr1+P7du3Y/369RBC4NVXXwUATJw4Ec3NzVizZg2mT5+OGTNm4LLLLkvOf2qahl122WXQ+2tZFubPnz8oc8f1yFB+fvS3Kz/0mfo0yufQKO+T6KPQGD1jxgzst99+OPvss3HjjTdi+/btuPzyyzFnzpzkdO6HH36IL37xi7jrrrvwmc98Bm1tbTj33HPxne98ByNHjsSIESNw+eWX44ADDkiushsSVI0wa9asxNrklMdTTz2llFJq/vz5WZ8fP378kPabIAiCIOqdQmO0Ukq9//776phjjlHhcFiNGDFCzZ07V8ViseTz69aty9gnGo2quXPnqhEjRqhwOKyOPfZYtX79+kF8Z5kwpciEnSAIgiAIIghksUsQBEEQBBEQEk4EQRAEQRABIeFEEARBEAQREBJOBJEGYwzvvffeUHeDIAiCqEIaWjht3rwZ3/72tzFx4kSEQiGMGjUKhx12GG6//Xb09qYWC7322muhaRquv/76jOMsXboUjDHsu+++Gc/dd999YIylmIQV2z5BNBrF8OHDMWLECESj0eLfcJUjhMChhx6Kk046KWV7R0cHxo0bV7Kh6bRp03DJJZdkbH/wwQfzutBm2++WW26BZVm4++67S+pTNUHnQ2WZPXs2vvKVrwx1N8rO7bffjpaWFniel9zW3d0NwzBw+OGHp7R95plnwBjD22+/PdjdJIiy0bDC6d///jcOOuggrFixAtdeey1eeeUVPPHEE7j00kvx5z//GU888URK+yVLluCKK67AnXfemfV4TU1N2LJlC1atWpWy/c4778Tuu+9ecnsAuP/++7H//vtjv/32wwMPPFDM260JNE3DsmXL8Nhjj+G3v/1tcvtFF12EESNG4Oqrrx7C3vUxf/58zJs3D3/84x9xxhlnDHV3ygKdD8RAmT59Orq7u/HSSy8ltz3zzDMYPXo0Vq9enSK6V65cibFjx2LSpElD0VWCKAsNK5wuvPBC6LqOl156Caeccgr23XdfHHDAATjppJPwyCOP4Ljjjku2ffrppxGNRvGDH/wAPT09+L//+7+M4+m6jjPOOCNlIPnggw+wcuXKrINrse0BYPHixTjrrLNw1llnYfHixaW8/apl7733xnXXXYeLLroIGzduxJ/+9Cf87ne/w7Jly2Ca5pD2TSmFiy66CLfccgtWrFiBo48+ekj7U07ofCAGysc//nGMHTsWK1euTG5buXIlTjjhBOy111547rnnUrZPnz59CHpJEOWjIYXTtm3bsGLFCnzrW99CU1NT1jb9p24WL16M008/HYZh4PTTT895kT733HNx7733Ju+wli5diiOPPDJnHZ5i2v/rX//CqlWrcMopp+CUU07Bc889h3//+99Fve9a4aKLLsKnPvUpnHPOOTjvvPNw9dVX48ADDxzSPnmeh7PPPhu///3v8fTTT+Owww4b0v6UEzofiFKZNm0annrqqeTvTz31FKZNm4apU6cmtzuOg1WrVpFwImqehhRO7777LpRS+PjHP56yvb29Hc3NzWhubsb3vvc9AEBnZyfuv/9+nHXWWQCAs846C3/4wx/Q2dmZcdwDDzwQe+21F/7whz9AKYWlS5fi61//es5+FNP+zjvvxFFHHZXM6TjyyCNzTpPUOowx3HbbbfjrX/+KUaNG4fvf//5Qdwm//OUv8fvf/x4rV67Epz71qaHuTlmh84EolWnTpuHZZ5+F53no6urCK6+8gi984QuYOnVqMhL1/PPPIxqNknAiap6GFE4J0hOCX3zxRbz66qv4xCc+Adu2AQB33303JkyYkBwsDzzwQEyYMAG/+93vsh7z61//OpYsWYKnn34a3d3dBadzgrQXQmDZsmXJwQrwB6xly5ZBCFHUe64V7rzzTkQiEaxbtw4ffPDBUHcHhx12GJqbm3HVVVelJMHWE3Q+EANl+vTp6OnpwerVq/HMM89g0qRJ2HXXXTF16lSsXr0aPT09WLlyJXbffXdMmDBhqLtLECXRkMJp4sSJYIzhrbfeStk+YcIETJw4EeFwOLntzjvvxJo1a6DrevKxZs2anNMTZ555Jp5//nksWLAA55xzDnQ9fx3lIO2XL1+ODz/8EKeeemqyD6eddho++OADrFixYgCfQHWzatUq/M///A/+9Kc/YcqUKTj33HNRjspAra2t6OjoyNi+c+fOZJHJXBxwwAH461//ipUrV+KUU06B67ol96daoPOBKJWJEydit912w1NPPYWnnnoKU6dOBQCMHj0ae+65J5599lk89dRTOOKII4a4pwRROg0pnEaOHIkvf/nL+PnPf46enp6c7V5//XW89NJLWLlyJV599dXk4//+7/+wevVqvPHGGxn7jBgxAscffzyefvrpvNMSxbRfvHgxTjvttJQ+vPrqqzjzzDPrLik2Go1i1qxZOP/88/GlL30Jv/rVr7B69WrccccdJR97n332SVn5k2D16tUZ01TZOPDAA/Hkk0/ib3/7G04++eS6EU90PhDlYPr06Vi5ciVWrlyJadOmJbdPnToVy5cvx/PPP0/TdER9MFTVhYead999V40aNUrts88+6ne/+51688031VtvvaV+/etfq1GjRqnLLrtMffvb31af/exns+5/6KGHqksuuUQppdSSJUtUW1tb8rne3l61devW5O//8z//o8aPH5/8vZj2W7ZsUYZhqEcffTSjDytWrFCGYagtW7YM4BOoTi6++GK11157qe7u7uS2X/ziF6q5uVmtW7eupGOvW7dOhcNhdeGFF6pXX31VrV27Vv385z9XlmWp++67L9kOQMprTZ06VX37299O/v7GG2+oXXfdVR1//PHKtu2S+lQt0PlQeWbNmqWmTZumXnnllZTH+++/P9RdKwt33nmnCofDStd1tXnz5uT23/zmN6qlpUUBGPKq9gRRDhpWOCml1MaNG9XcuXPVnnvuqQzDUM3Nzeozn/mMuvHGG1VHR4caOXKkuuGGG7Lue9NNN6n29nZl23bGhT+dQgNFvvaLFi1Sw4YNU47jZLRzXVeNGDFC3XTTTUHebtWzcuVKpWmaeuaZZzKemzFjhjriiCOUlLKk13jppZfUzJkz1a677qpaW1vV5MmT1T333JPSppBwUkqpNWvWqNGjR6tjjz22bsQTnQ+VZdasWQpAxmPWrFlD3bWysG7dOgVA7bPPPinbN2zYoACovfbaa4h6RhDlhSlVhuQRgqgjGGNYt25dVrdqgiAIorFpyBwngiAIgiCIgUDCiSAIgiAIIiAknAgijfnz52PYsGFD3Q2CIAiiCqEcJ4IgCIIgiIBQxIkgCIIgCCIgJJwIgiAIgiACQsKJIAiCIAgiICScCIIgCIIgAkLCiSBqjGnTpuGSSy4pap/Zs2fjK1/5SkmvW45jEARB1DoknAiiQsyePRuMMTDGYBgGJkyYgMsvvzxvId3+rFy5Eowx7Ny5s+S+3HLLLVi6dGnJxyEIgmh09KHuAEHUM0ceeSSWLFkC13XxzDPP4Bvf+AZ6enpw2223DWo/2traBvX1CIIg6hWKOBFEBbEsC6NHj8a4ceNwxhln4Mwzz8SDDz4IAPjNb36DyZMno6WlBaNHj8YZZ5yBLVu2AADee+89TJ8+HQAwfPhwMMYwe/bs5HGllLjiiiswYsQIjB49GgsWLMjbj/RptmnTpuHiiy8u6hjpvPzyy9h1112xcOHCnG1WrlyJz3zmM2hqasKwYcPw+c9/Hu+//z4AYMGCBTjwwANxxx13YNy4cYhEIjj55JNTImyrV6/Gl7/8ZbS3t6OtrQ1Tp07F3//+95TX2LlzJ8477zyMGjUKoVAI+++/Px5++OHk88899xy+8IUvIBwOY9y4cbj44osDR/0IgiDSIeFEEINIOByG67oAAMdx8MMf/hCvvfYaHnzwQaxbty4pjsaNG4f7778fALB27Vps2rQJt9xyS/I4y5YtQ1NTE1544QXccMMN+MEPfoDHH3+8qL6UcoyVK1fii1/8Iq655hpceeWVWdt4noevfOUrmDp1Kv7xj39g1apVOO+888AYS7Z59913cd999+HPf/4zHnvsMbz66qv41re+lXy+q6sLs2bNwjPPPIPnn38ee++9N44++mh0dXUB8AXkUUcdheeeew6/+c1v8Oabb+L666+HpmkAgNdffx0zZ87EiSeeiH/84x+499578be//Q1z584t6rMiCIJIogiCqAizZs1SJ5xwQvL3F154QY0cOVKdcsopWdu/+OKLCoDq6upSSin11FNPKQBqx44dKe2mTp2qDjvssJRthxxyiPre974XuC+lHOPBBx9ULS0t6u67787ZVimltm3bpgColStXZn1+/vz5StM0tWHDhuS2Rx99VHHO1aZNm7Lu43meamlpUX/+85+VUkotX75ccc7V2rVrs7Y/++yz1XnnnZey7ZlnnlGccxWNRvP2nyAIIhsUcSKICvLwww+jubkZoVAIU6ZMwRe+8AX87Gc/AwC88sorOOGEEzB+/Hi0tLRg2rRpAID169cXPO4nP/nJlN/HjBmTnOYLykCO8cILL+Ckk07CsmXLcPrppye3r1+/Hs3NzcnHtddeixEjRmD27NmYOXMmjjvuONxyyy3YtGlTyvF233137Lbbbsnfp0yZAikl1q5dCwDYsmULLrjgAkyaNAltbW1oa2tDd3d38jN69dVXsdtuu2HSpElZ+/vyyy9j6dKlKX2bOXMmpJRYt25d8A+LIAgiDiWHE0QFmT59Om677TYYhoGxY8fCMAwAQE9PD2bMmIEZM2bgN7/5DXbZZResX78eM2fOhOM4BY+bOE4CxhiklEX1bSDH2GuvvTBy5EjceeedOOaYY2CaJgBg7NixePXVV5PtRowYAQBYsmQJLr74Yjz22GO49957cdVVV+Hxxx/H5z73uazHT0zjJf6dPXs2PvroI9x8880YP348LMvClClTkp9ROBzO218pJc4//3xcfPHFGc/tvvvuefclCILIBgkngqggTU1NmDhxYsb2t956C1u3bsX111+PcePGAQBeeumllDYJUSKEqHxHA9Le3o4HHngA06ZNw6mnnor77rsPhmFA1/Ws7xMADjroIBx00EGYN28epkyZgrvvvjspnNavX4+NGzdi7NixAIBVq1aBc56MID3zzDO49dZbcfTRRwMANmzYgK1btyaP/clPfhIffPAB3n777axRp09/+tNYs2ZNzr4RBEEUC03VEcQQsPvuu8M0TfzsZz/Dv//9bzz00EP44Q9/mNJm/PjxYIzh4YcfxkcffYTu7u4h6m0qu+66K5588km89dZbOP300+F5XtZ269atw7x587Bq1Sq8//77WLFiBd5++23su+++yTahUAizZs3Ca6+9hmeeeQYXX3wxTjnlFIwePRoAMHHiRPz617/GP//5T7zwwgs488wzU6JMU6dOxRe+8AWcdNJJePzxx7Fu3To8+uijeOyxxwAA3/ve97Bq1Sp861vfwquvvop33nkHDz30EC666KIKfkIEQdQzJJwIYgjYZZddsHTpUvz+97/Hfvvth+uvvx6LFi1KafOxj30M11xzDb7//e9j1KhRVbUSbPTo0XjyySfx+uuv48wzz8waFYtEInjrrbdw0kknYdKkSTjvvPMwd+5cnH/++ck2EydOxIknnoijjz4aM2bMwP77749bb701+fydd96JHTt24KCDDsLZZ5+Niy++GLvuumvK69x///045JBDcPrpp2O//fbDFVdckezPJz/5STz99NN45513cPjhh+Oggw7C//t//w9jxoyp0CdDEES9w5RSaqg7QRBE47FgwQI8+OCDKblRBEEQ1Q5FnAiCIAiCIAJCwokgCIIgCCIgNFVHEARBEAQREIo4EQRBEARBBISEE0EQBEEQREBIOBEEQRAEQQSEhBNBEARBEERASDgRBEEQBEEEhIQTQRAEQRBEQEg4EQRBEARBBISEE0EQBEEQRED+PyVMgjKZpk8xAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# requires bandstruture kpath\n",
    "\n",
    "orbs_dict = [{\"Si\":[\"s\",\"p\"]},{\"Si\":[\"s\",\"p\"]}] # for silicon\n",
    "#orbs_dict = [{\"Pb\":[\"s\",\"p\",\"d\"],\"O\":[\"s\",\"p\"]},{\"Pb\":[\"s\",\"p\",\"d\"],\"O\":[\"s\",\"p\"]}] # for PbO\n",
    "\n",
    "\n",
    "COGITOTB.get_COHP(\"BS\",orbs_dict,NN=2,ylim=(-12,5),colorhalf=10)\n",
    "\n",
    "\n",
    "# for dash app of this run below (doesn't work in jupyter) example at https://viz.whsunresearch.group/cogito-cohp/\n",
    "#from COGITOpost import COGITO_analyze as coze\n",
    "#direct = \"../test_sym/Si/\"\n",
    "#siliconTB = coze(direct,min_hopping_dist=10,min_overlap_dist=10,orbs_orth=False)\n",
    "#siliconTB.get_bandstructure()\n",
    "#siliconTB.make_COHP_dashapp()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fdbbecd-3f24-4546-b935-39e0ddde108f",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Requires uniform kpoint grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ce94de80-c1fc-470d-9bc6-670b01f07b1f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-----------------------------------------------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------------------------------------------\n",
      "\n",
      "Where are the electrons?\n",
      "orbital + overlap occupation: [1.346385694909657 0.884538123446889 0.884538114882254 0.884538068861606\n",
      " 1.346385706163125 0.884538118438583 0.884538063639298 0.884538109658588]\n",
      "sum:  8.000000000000002\n",
      "orbital occupation without bonds: [1.046887551070329 0.55609650368829  0.556096495798009 0.556096439805983\n",
      " 1.046887582000384 0.556096496296078 0.556096432143648 0.556096488145861]\n",
      "The electron occupation for the atoms  ['Si' 'Si']  is  [4.000000002100406 3.999999997899595]\n"
     ]
    }
   ],
   "source": [
    "# go back to a uniform kpoint grid\n",
    "COGITOTB.get_uniform((5,5,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ddbc6804-9801-4130-b2d5-b0564eeefa19",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Si\n",
      "[[0, 4, 1, 2, 3, 5, 6, 7], [0, 4, 1, 2, 3, 5, 6, 7]]\n",
      "NN number, distance, count, and indices: 1 2.37 128\n",
      "num of params: 128\n",
      "integrated occupied cohp: (-15.707946369560574-6.667847496469313e-17j)\n",
      "showing plot\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# requires uniform grid\n",
    "orbs_dict = [{\"Si\":[\"s\",\"p\"]},{\"Si\":[\"s\",\"p\"]}] # for silicon\n",
    "#orbs_dict = [{\"Zr\":[\"dz2\"]},{\"Zr\":[\"dz2\"]}] # for PbO\n",
    "\n",
    "COGITOTB.get_COHP(\"DOS\",orbs_dict,NN=1,sigma=0.1,ylim=(-15,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9ead92ad-3e33-4092-b10c-a5ffe94635eb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 2, 3, 3, 3)\n"
     ]
    },
    {
     "data": {
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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 H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(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 Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function Y(r){return 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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\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=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(J,K),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 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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}},13011:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var 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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var n=r(50215),i=r(30962).overrideAll,a=r(44467).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\")},5485:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298);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()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);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})}},82188:function(t,e,r){\"use strict\";var n=r(92605).drawRaw,i=r(63538),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))}}},2468:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),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(5485),draw:r(82188)}},7561:function(t,e,r){\"use 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n=l(t*f*.8,2),i=l(.8*t,2),a=l(1.6*t,2),o=l(4*t,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",\"+i+s+n+\",\"+i+s+\"0,-\"+a+s+\"-\"+n+\",\"+i+\"Z\")}},\"star-triangle-down\":{n:20,f:function(t,e,r){if(v(e))return u;var n=l(t*f*.8,2),i=l(.8*t,2),a=l(1.6*t,2),o=l(4*t,2),s=\"A \"+o+\",\"+o+\" 0 0 1 \";return g(e,r,\"M\"+n+\",-\"+i+s+\"-\"+n+\",-\"+i+s+\"0,\"+a+s+n+\",-\"+i+\"Z\")}},\"star-square\":{n:21,f:function(t,e,r){if(v(e))return u;var n=l(1.1*t,2),i=l(2*t,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",-\"+n+a+\"-\"+n+\",\"+n+a+n+\",\"+n+a+n+\",-\"+n+a+\"-\"+n+\",-\"+n+\"Z\")}},\"star-diamond\":{n:22,f:function(t,e,r){if(v(e))return u;var n=l(1.4*t,2),i=l(1.9*t,2),a=\"A \"+i+\",\"+i+\" 0 0 1 \";return g(e,r,\"M-\"+n+\",0\"+a+\"0,\"+n+a+n+\",0\"+a+\"0,-\"+n+a+\"-\"+n+\",0Z\")}},\"diamond-tall\":{n:23,f:function(t,e,r){if(v(e))return u;var n=l(.7*t,2),i=l(1.4*t,2);return g(e,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},\"diamond-wide\":{n:24,f:function(t,e,r){if(v(e))return u;var n=l(1.4*t,2),i=l(.7*t,2);return g(e,r,\"M0,\"+i+\"L\"+n+\",0L0,-\"+i+\"L-\"+n+\",0Z\")}},hourglass:{n:25,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M\"+n+\",\"+n+\"H-\"+n+\"L\"+n+\",-\"+n+\"H-\"+n+\"Z\")},noDot:!0},bowtie:{n:26,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M\"+n+\",\"+n+\"V-\"+n+\"L-\"+n+\",\"+n+\"V-\"+n+\"Z\")},noDot:!0},\"circle-cross\":{n:27,f:function(t,e,r){if(v(e))return u;var n=l(t,2);return g(e,r,\"M0,\"+n+\"V-\"+n+\"M\"+n+\",0H-\"+n+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 \"+n+\",0Z\")},needLine:!0,noDot:!0},\"circle-x\":{n:28,f:function(t,e,r){if(v(e))return u;var n=l(t,2),i=l(t/c,2);return g(e,r,\"M\"+i+\",\"+i+\"L-\"+i+\",-\"+i+\"M\"+i+\",-\"+i+\"L-\"+i+\",\"+i+\"M\"+n+\",0A\"+n+\",\"+n+\" 0 1,1 0,-\"+n+\"A\"+n+\",\"+n+\" 0 0,1 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ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=H(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=W[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,W.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,W.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(W.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,W.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,W.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(W.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var wt=d.selectAll(\"g.hovertext\").data(t,(function(t){return C(t)}));return wt.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,T,k)})),wt.exit().remove(),wt.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var d=t.bgcolor||o,v=p.combine(p.opacity(d)?d:p.defaultLine,f),g=p.combine(p.opacity(o)?o:p.defaultLine,f),y=t.borderColor||p.contrast(v),m=I(t,j,a,i,D,e),x=m[0],b=m[1],w=e.select(\"text.nums\").call(h.font,t.fontFamily||T,t.fontSize||k,t.fontColor||y).text(x).attr(\"data-notex\",1).call(c.positionText,0,0).call(c.convertToTspans,r),A=e.select(\"text.name\"),E=0,L=0;if(b&&b!==x){A.call(h.font,t.fontFamily||T,t.fontSize||k,g).text(b).attr(\"data-notex\",1).call(c.positionText,0,0).call(c.convertToTspans,r);var C=H(r,A.node());E=C.width+2*S,L=C.height+2*S}else A.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:v,stroke:y});var P=t.xa._offset+(t.x0+t.x1)/2,O=t.ya._offset+(t.y0+t.y1)/2,z=Math.abs(t.x1-t.x0),R=Math.abs(t.y1-t.y0),U=H(r,w.node()),V=U.width/i._invScaleX,q=U.height/i._invScaleY;t.ty0=(F-U.top)/i._invScaleY,t.bx=V+2*S,t.by=Math.max(q+2*S,L),t.anchor=\"start\",t.txwidth=V,t.tx2width=E,t.offset=0;var 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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 d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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n=r(85555),i=r(44467).templatedArray;r(24695),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},75378:function(t,e,r){\"use 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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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 rectangle\")},attr:\"dragmode\",val:\"drawrect\",icon:o.drawrect,click:f},c.drawcircle={name:\"drawcircle\",title:function(t){return u(t,\"Draw circle\")},attr:\"dragmode\",val:\"drawcircle\",icon:o.drawcircle,click:f},c.eraseshape={name:\"eraseshape\",title:function(t){return u(t,\"Erase active shape\")},icon:o.eraseshape,click:s},c.zoomIn2d={name:\"zoomIn2d\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:f},c.zoomOut2d={name:\"zoomOut2d\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:f},c.autoScale2d={name:\"autoScale2d\",_cat:\"autoscale\",title:function(t){return u(t,\"Autoscale\")},attr:\"zoom\",val:\"auto\",icon:o.autoscale,click:f},c.resetScale2d={name:\"resetScale2d\",_cat:\"resetscale\",title:function(t){return u(t,\"Reset axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},c.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},c.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return u(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},c.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return u(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},c.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return u(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},c.orbitRotation={name:\"orbitRotation\",title:function(t){return u(t,\"Orbital rotation\")},attr:\"scene.dragmode\",val:\"orbit\",icon:o[\"3d_rotate\"],click:h},c.tableRotation={name:\"tableRotation\",title:function(t){return u(t,\"Turntable rotation\")},attr:\"scene.dragmode\",val:\"turntable\",icon:o[\"z-axis\"],click:h},c.resetCameraDefault3d={name:\"resetCameraDefault3d\",_cat:\"resetCameraDefault\",title:function(t){return u(t,\"Reset camera to default\")},attr:\"resetDefault\",icon:o.home,click:p},c.resetCameraLastSave3d={name:\"resetCameraLastSave3d\",_cat:\"resetCameraLastSave\",title:function(t){return u(t,\"Reset camera to last save\")},attr:\"resetLastSave\",icon:o.movie,click:p},c.hoverClosest3d={name:\"hoverClosest3d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);n.call(\"_guiRelayout\",t,r)}},c.zoomInGeo={name:\"zoomInGeo\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:v},c.zoomOutGeo={name:\"zoomOutGeo\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:v},c.resetGeo={name:\"resetGeo\",_cat:\"reset\",title:function(t){return u(t,\"Reset\")},attr:\"reset\",val:null,icon:o.autoscale,click:v},c.hoverClosestGeo={name:\"hoverClosestGeo\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestGl2d={name:\"hoverClosestGl2d\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:y},c.hoverClosestPie={name:\"hoverClosestPie\",_cat:\"hoverclosest\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},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}},93348:function(t,e,r){\"use strict\";var n=r(26023),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}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);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\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).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=[],D=[];(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?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"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)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.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\"))&&D.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(D),L(P.concat(I)),L(z),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return 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(41940),i=r(22399),a=(0,r(44467).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},89573:function(t){\"use 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n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551).newShapes,k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return 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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 l=A.selectdirection;switch(a=\"any\"===l?i<Math.min(.6*r,D)?\"h\":r<Math.min(.6*i,D)?\"v\":\"d\":l){case\"h\":o=w?mt/2:0,s=mt;break;case\"v\":o=w?yt/2:0,s=yt}}if(x)switch(A.newshape.drawdirection){case\"vertical\":a=\"h\",o=w?mt/2:0,s=mt;break;case\"horizontal\":a=\"v\",o=w?yt/2:0,s=yt;break;case\"ortho\":r<i?(a=\"h\",o=B,s=pt):(a=\"v\",o=F,s=lt);break;default:a=\"d\"}\"h\"===a?((J=T?_(w,[lt,o],[lt,s]):[[F,o],[F,s],[lt,s],[lt,o]]).xmin=T?lt:Math.min(F,lt),J.xmax=T?lt:Math.max(F,lt),J.ymin=Math.min(o,s),J.ymax=Math.max(o,s),kt.attr(\"d\",\"M\"+J.xmin+\",\"+(B-D)+\"h-4v\"+2*D+\"h4ZM\"+(J.xmax-1)+\",\"+(B-D)+\"h4v\"+2*D+\"h-4Z\")):\"v\"===a?((J=T?_(w,[o,pt],[s,pt]):[[o,B],[o,pt],[s,pt],[s,B]]).xmin=Math.min(o,s),J.xmax=Math.max(o,s),J.ymin=T?pt:Math.min(B,pt),J.ymax=T?pt:Math.max(B,pt),kt.attr(\"d\",\"M\"+(F-D)+\",\"+J.ymin+\"v-4h\"+2*D+\"v4ZM\"+(F-D)+\",\"+(J.ymax-1)+\"v4h\"+2*D+\"v-4Z\")):\"d\"===a&&((J=T?_(w,[F,B],[lt,pt]):[[F,B],[F,pt],[lt,pt],[lt,B]]).xmin=Math.min(F,lt),J.xmax=Math.max(F,lt),J.ymin=Math.min(B,pt),J.ymax=Math.max(B,pt),kt.attr(\"d\",\"M0,0Z\"))}else 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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&&J&&n.selectionDefs&&(J.subtract=xt,n.selectionDefs.push(J),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,W)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},89827:function(t,e,r){\"use strict\";var n=r(50215),i=r(41940),a=r(82196).line,o=r(79952).P,s=r(1426).extendFlat,l=r(44467).templatedArray,u=(r(24695),r(9012)),c=r(5386).R,f=r(37281);t.exports=l(\"shape\",{visible:s({},u.visible,{editType:\"calc+arraydraw\"}),showlegend:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},legend:s({},u.legend,{editType:\"calc+arraydraw\"}),legendgroup:s({},u.legendgroup,{editType:\"calc+arraydraw\"}),legendgrouptitle:{text:s({},u.legendgrouptitle.text,{editType:\"calc+arraydraw\"}),font:i({editType:\"calc+arraydraw\"}),editType:\"calc+arraydraw\"},legendrank:s({},u.legendrank,{editType:\"calc+arraydraw\"}),legendwidth:s({},u.legendwidth,{editType:\"calc+arraydraw\"}),type:{valType:\"enumerated\",values:[\"circle\",\"rect\",\"path\",\"line\"],editType:\"calc+arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},xref:s({},n.xref,{}),xsizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},xanchor:{valType:\"any\",editType:\"calc+arraydraw\"},x0:{valType:\"any\",editType:\"calc+arraydraw\"},x1:{valType:\"any\",editType:\"calc+arraydraw\"},yref:s({},n.yref,{}),ysizemode:{valType:\"enumerated\",values:[\"scaled\",\"pixel\"],dflt:\"scaled\",editType:\"calc+arraydraw\"},yanchor:{valType:\"any\",editType:\"calc+arraydraw\"},y0:{valType:\"any\",editType:\"calc+arraydraw\"},y1:{valType:\"any\",editType:\"calc+arraydraw\"},path:{valType:\"string\",editType:\"calc+arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},line:{color:s({},a.color,{editType:\"arraydraw\"}),width:s({},a.width,{editType:\"calc+arraydraw\"}),dash:s({},o,{editType:\"arraydraw\"}),editType:\"calc+arraydraw\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"arraydraw\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"arraydraw\"},editable:{valType:\"boolean\",dflt:!1,editType:\"calc+arraydraw\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"arraydraw\"},texttemplate:c({},{keys:Object.keys(f)}),font:i({editType:\"calc+arraydraw\",colorEditType:\"arraydraw\"}),textposition:{valType:\"enumerated\",values:[\"top 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n=r(7901),i=r(71828);t.exports=function(t,e,r){if(r(\"newshape.visible\"),r(\"newshape.name\"),r(\"newshape.showlegend\"),r(\"newshape.legend\"),r(\"newshape.legendwidth\"),r(\"newshape.legendgroup\"),r(\"newshape.legendgrouptitle.text\"),i.coerceFont(r,\"newshape.legendgrouptitle.font\"),r(\"newshape.legendrank\"),r(\"newshape.drawdirection\"),r(\"newshape.layer\"),r(\"newshape.fillcolor\"),r(\"newshape.fillrule\"),r(\"newshape.opacity\"),r(\"newshape.line.width\")){var a=(t||{}).plot_bgcolor||\"#FFF\";r(\"newshape.line.color\",n.contrast(a)),r(\"newshape.line.dash\")}var o=\"drawline\"===t.dragmode,s=r(\"newshape.label.text\"),l=r(\"newshape.label.texttemplate\");if(s||l){r(\"newshape.label.textangle\");var u=r(\"newshape.label.textposition\",o?\"middle\":\"middle center\");r(\"newshape.label.xanchor\"),r(\"newshape.label.yanchor\",function(t,e){return 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p=2*h*Math.PI/a;f.push([s+u*Math.cos(p),l+c*Math.sin(p)])}return f},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,u=((r-=s)+i)/2;return{x0:l-(a*=o),y0:u-(s*=o),x1:l+a,y1:u+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},90551:function(t,e,r){\"use strict\";var n=r(64505),i=n.drawMode,a=n.openMode,o=r(89995),s=o.i000,l=o.i090,u=o.i180,c=o.i270,f=o.cos45,h=o.sin45,p=r(75549),d=p.p2r,v=p.r2p,g=r(51873).clearOutline,y=r(60165),m=y.readPaths,x=y.writePaths,b=y.ellipseOver,_=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],D=n[s][2],z=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(D=v(y.yaxis,D),z=v(y.yaxis,z),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(D+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-z+R-D)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},51873:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},30477:function(t,e,r){\"use strict\";var n=r(21459),i=r(71828),a=r(89298);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return 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n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},23243:function(t,e,r){\"use strict\";var n=r(98292);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(75067),supplyLayoutDefaults:r(12343),draw:r(44504)}},92998:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(74875),o=r(73972),s=r(71828),l=s.strTranslate,u=r(91424),c=r(7901),f=r(63893),h=r(37822),p=r(18783).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,u=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,c=r.selectAll(\"g.\"+u).data(s.filterVisible(l)),h=c.enter().append(\"g\").classed(u,!0),p=c.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+f.gapButtonHeader:d=y.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-f.gapButtonHeader+f.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-y.openWidth);var b={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};c.each((function(s,l){var 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e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var 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i=\"title.automargin\",s=t._fullLayout.title,l=s.y>.5?\"t\":\"b\",u={x:s.x,y:s.y,t:0,b:0},c={};\"paper\"===s.yref&&function(t,e,r,n,i){var a=\"paper\"===e.yref?t._fullLayout._size.h:t._fullLayout.height,s=o.isTopAnchor(e)?n:n-i,l=\"b\"===r?a-s:s;return!(o.isTopAnchor(e)&&\"t\"===r||o.isBottomAnchor(e)&&\"b\"===r)&&l<i}(t,s,l,e,n)?u[l]=r:\"container\"===s.yref&&(c[l]=r,t._fullLayout._reservedMargin[i]=c),a.allowAutoMargin(t,i),a.autoMargin(t,i,u)}(t,h,y,g),v.attr({x:p,y:h,\"text-anchor\":l,dy:(e=r.yanchor,\"top\"===e?d.CAP_SHIFT+.3+\"em\":\"bottom\"===e?\"-0.3em\":d.MID_SHIFT+\"em\")}).call(s.positionText,p,h))}},e.doTraceStyle=function(t){var r,n=t.calcdata,o=[];for(r=0;r<n.length;r++){var s=n[r],u=s[0]||{},c=u.trace||{},f=c._module||{},h=f.arraysToCalcdata;h&&h(s,c);var p=f.editStyle;p&&o.push({fn:p,cd0:u})}if(o.length){for(r=0;r<o.length;r++){var d=o[r];d.fn(t,d.cd0)}l(t),e.redrawReglTraces(t)}return 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w=e._offset-r.top;w>0&&(n.yt=1,n.t=w)}n[y]=\"free\"===e.anchor?e.position:e._anchorAxis.domain[v[0]],e.title.text!==d._dfltTitle[g]&&(n[l]+=At(e)+(e.title.standoff||0)),e.mirror&&\"free\"!==e.anchor&&((i={x:0,y:0,r:0,l:0,t:0,b:0})[u]=e.linewidth,e.mirror&&!0!==e.mirror&&(i[u]+=f),!0===e.mirror||\"ticks\"===e.mirror?i[y]=e._anchorAxis.domain[v[1]]:\"all\"!==e.mirror&&\"allticks\"!==e.mirror||(i[y]=[e._counterDomainMin,e._counterDomainMax][v[1]]))}lt&&(s=o.getComponentMethod(\"rangeslider\",\"autoMarginOpts\")(t,e)),\"string\"==typeof e.automargin&&(_t(n,e.automargin),_t(i,e.automargin)),a.autoMargin(t,Et(e),n),a.autoMargin(t,Lt(e),i),a.autoMargin(t,Ct(e),s)})),s.syncOrAsync(ot)}}function ut(t){var r=v+(t||\"tick\");return M[r]||(M[r]=function(t,e){var r,n,i,a;return t._selections[e].size()?(r=1/0,n=-1/0,i=1/0,a=-1/0,t._selections[e].each((function(){var 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b,_=n.letter,w=n.font||{},T=n.splomStash||{},k=r(\"visible\",!n.visibleDflt),A=e._template||{},M=e.type||A.type||\"-\";\"date\"===M&&(i.getComponentMethod(\"calendars\",\"handleDefaults\")(t,e,\"calendar\",n.calendar),n.noTicklabelmode||(b=r(\"ticklabelmode\")));var S=\"\";n.noTicklabelposition&&\"multicategory\"!==M||(S=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===b?[\"outside\",\"inside\"]:\"x\"===_?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==S.indexOf(\"inside\")?\"hide past domain\":\"category\"===M||\"multicategory\"===M?\"allow\":\"hide past div\"),g(e,m),v(t,e,r,n),p(t,e,r,n),\"category\"===M||n.noHover||r(\"hoverformat\");var E=r(\"color\"),L=E!==l.color.dflt?E:w.color,C=T.label||m._dfltTitle[_];if(h(t,e,r,M,n),!k)return e;r(\"title.text\",C),a.coerceFont(r,\"title.font\",{family:w.family,size:a.bigFont(w.size),color:L}),u(t,e,r,M);var P=n.hasMinor;if(P&&(o.newContainer(e,\"minor\"),u(t,e,r,M,{isMinor:!0})),f(t,e,r,M,n),c(t,e,r,n),P){var O=n.isMinor;n.isMinor=!0,c(t,e,r,n),n.isMinor=O}d(t,e,r,{dfltColor:E,bgColor:n.bgColor,showGrid:n.showGrid,hasMinor:P,attributes:l}),!P||e.minor.ticks||e.minor.showgrid||delete e.minor,(e.showline||e.ticks)&&r(\"mirror\");var I,D=\"multicategory\"===M;if(n.noTickson||\"category\"!==M&&!D||!e.ticks&&!e.showgrid||(D&&(I=\"boundaries\"),\"boundaries\"===r(\"tickson\",I)&&delete e.ticklabelposition),D&&r(\"showdividers\")&&(r(\"dividercolor\"),r(\"dividerwidth\")),\"date\"===M)if(s(t,e,{name:\"rangebreaks\",inclusionAttr:\"enabled\",handleItemDefaults:x}),e.rangebreaks.length){for(var z=0;z<e.rangebreaks.length;z++)if(e.rangebreaks[z].pattern===y){e._hasDayOfWeekBreaks=!0;break}if(g(e,m),m._has(\"scattergl\")||m._has(\"splom\"))for(var R=0;R<n.data.length;R++){var F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. Setting trace \"+F.index+\" to `visible: false`.\"))}}else delete e.rangebreaks;return e};var b={sun:1,mon:2,tue:3,wed:4,thu:5,fri:6,sat:7};function _(t){if(\"string\"==typeof t)return b[t.substr(0,3).toLowerCase()]}},12663:function(t,e,r){\"use strict\";var n=r(31562),i=n.FORMAT_LINK,a=n.DATE_FORMAT_LINK;function o(t,e){return[\"Sets the \"+t+\" formatting rule\"+(e?\"for `\"+e+\"` \":\"\"),\"using d3 formatting mini-languages\",\"which are very similar to those in Python. For numbers, see: \"+i+\".\"].join(\" \")}function s(t,e){return o(t,e)+[\" And for dates see: \"+a+\".\",\"We add two items to d3's date formatter:\",\"*%h* for half of the year as a decimal number as well as\",\"*%{n}f* for fractional seconds\",\"with n digits. 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a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Zt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var 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a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||X[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 Ht(){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(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(K),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 qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),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 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Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Zt(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&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(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:Xt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Wt(a,m=Yt(a,d,g)),m>1&&(void 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t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Wt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(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 n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<J.length;n++)u(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<K.length;n++)u(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Zt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},4305:function(t,e,r){\"use strict\";var n=r(39898),i=r(30211),a=r(28569),o=r(6964),s=r(29323).makeDragBox,l=r(85555).DRAGGERSIZE;e.initInteractions=function(t){var r=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(r._has(\"cartesian\")||r._has(\"splom\")){Object.keys(r._plots||{}).sort((function(t,e){if((r._plots[t].mainplot&&!0)===(r._plots[e].mainplot&&!0)){var n=t.split(\"y\"),i=e.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return r._plots[t].mainplot?1:-1})).forEach((function(e){var n=r._plots[e],o=n.xaxis,u=n.yaxis;if(!n.mainplot){var 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_=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,u,c,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var u=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085),_=r(71739).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 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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. 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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 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A=w[s],E=A.bounds,L=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-L),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+L)}for(s=0;s<T.length;s++){var C=T[s];if(C.visible){var P=l.r2l(C[k]);y[0][o]=Math.min(y[0][o],P),y[1][o]=Math.max(y[1][o],P)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var O=y[1][o]-y[0][o];y[0][o]-=O/32,y[1][o]+=O/32}if(b=[y[0][o],y[1][o]],b=_(b,l),y[0][o]=b[0],y[1][o]=b[1],l.isReversed()){var I=y[0][o];y[0][o]=y[1][o],y[1][o]=I}}else b=l.range,y[0][o]=l.r2l(b[0]),y[1][o]=l.r2l(b[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var D=c.aspectmode;if(\"cube\"===D)g=[1,1,1];else if(\"manual\"===D){var z=c.aspectratio;g=[z.x,z.y,z.z]}else{if(\"auto\"!==D&&\"data\"!==D)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[u=(l=c[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===D||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var B=c.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var 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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B(t,e,r)},N.plot=function(t,e){for(var r=this,n=e[r.id],i=!1,a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){i=!0;break}r._hasClipOnAxisFalse=i,r.updateLayers(e,n),r.updateLayout(e,n),f.generalUpdatePerTraceModule(r.gd,r,t,n),r.updateFx(e,n),r.isSmith&&(delete n.realaxis.range,delete n.imaginaryaxis.range)},N.updateLayers=function(t,e){var r=this,i=r.isSmith,a=r.layers,o=r.getRadial(e),s=r.getAngular(e),l=S.layerNames,u=l.indexOf(\"frontplot\"),c=l.slice(0,u),f=\"below traces\"===s.layer,h=\"below traces\"===o.layer;f&&c.push(\"angular-line\"),h&&c.push(\"radial-line\"),f&&c.push(\"angular-axis\"),h&&c.push(\"radial-axis\"),c.push(\"frontplot\"),f||c.push(\"angular-line\"),h||c.push(\"radial-line\"),f||c.push(\"angular-axis\"),h||c.push(\"radial-axis\");var p=(i?\"smith\":\"polar\")+\"sublayer\",d=r.framework.selectAll(\".\"+p).data(c,String);d.enter().append(\"g\").attr(\"class\",(function(t){return p+\" \"+t})).each((function(t){var e=a[t]=n.select(this);switch(t){case\"frontplot\":i||e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":a.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),d.order()},N.updateLayout=function(t,e){var r=this,n=r.layers,i=t._size,a=r.getRadial(e),o=r.getAngular(e),s=e.domain.x,f=e.domain.y;r.xOffset=i.l+i.w*s[0],r.yOffset=i.t+i.h*(1-f[1]);var h=r.xLength=i.w*(s[1]-s[0]),p=r.yLength=i.h*(f[1]-f[0]),d=r.getSector(e);r.sectorInRad=d.map(R);var v,g,y,m,x,b=r.sectorBBox=function(t){var e,r=t[0],n=t[1]-r,i=z(r,360),a=i+n,o=Math.cos(R(i)),s=Math.sin(R(i)),l=Math.cos(R(a)),u=Math.sin(R(a));return 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A,M=r.xOffset2=i.l+i.w*y[0],S=r.yOffset2=i.t+i.h*(1-m[1]),E=r.radius=v/_,L=r.innerRadius=r.getHole(e)*E,C=r.cx=M-E*b[0],P=r.cy=S+E*b[3],O=r.cxx=C-M,I=r.cyy=P-S,D=a.side;\"counterclockwise\"===D?(A=D,D=\"top\"):\"clockwise\"===D&&(A=D,D=\"bottom\"),r.radialAxis=r.mockAxis(t,e,a,{_id:\"x\",side:D,_trueSide:A,domain:[L/i.w,E/i.w]}),r.angularAxis=r.mockAxis(t,e,o,{side:\"right\",domain:[0,Math.PI],autorange:!1}),r.doAutoRange(t,e),r.updateAngularAxis(t,e),r.updateRadialAxis(t,e),r.updateRadialAxisTitle(t,e),r.xaxis=r.mockCartesianAxis(t,e,{_id:\"x\",domain:y}),r.yaxis=r.mockCartesianAxis(t,e,{_id:\"y\",domain:m});var F=r.pathSubplot();r.clipPaths.forTraces.select(\"path\").attr(\"d\",F).attr(\"transform\",l(O,I)),n.frontplot.attr(\"transform\",l(M,S)).call(c.setClipUrl,r._hasClipOnAxisFalse?null:r.clipIds.forTraces,r.gd),n.bg.attr(\"d\",F).attr(\"transform\",l(C,P)).call(u.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this,n=r.gd,i=r.radialAxis,a=r.getRadial(e);v(n,i);var o=i.range;a.range=o.slice(),a._input.range=o.slice(),i._rl=[i.r2l(o[0],null,\"gregorian\"),i.r2l(o[1],null,\"gregorian\")]},N.updateRadialAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,c=r.innerRadius,f=r.cx,p=r.cy,d=r.getRadial(e),v=z(r.getSector(e)[0],360),g=r.radialAxis,y=c<a,m=r.isSmith;m||(r.fillViewInitialKey(\"radialaxis.angle\",d.angle),r.fillViewInitialKey(\"radialaxis.range\",g.range.slice()),g.setGeometry()),\"auto\"===g.tickangle&&v>90&&v<=270&&(g.tickangle=180);var x=m?function(t){var e=I(r,C([t.x,0]));return l(e[0]-f,e[1]-p)}:function(t){return l(g.l2p(t.x)+c,0)},b=m?function(t){return O(r,t.x,-1/0,1/0)}:function(t){return r.pathArc(g.r2p(t.x)+c)},_=j(d);if(r.radialTickLayout!==_&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=_),y){g.setScale();var w=0,T=m?(g.tickvals||[]).filter((function(t){return t>=0})).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g),k=m?T:h.clipEnds(g,T),A=h.getTickSigns(g)[2];m&&((\"top\"===g.ticks&&\"bottom\"===g.side||\"bottom\"===g.ticks&&\"top\"===g.side)&&(A=-A),\"top\"===g.ticks&&\"top\"===g.side&&(w=-g.ticklen),\"bottom\"===g.ticks&&\"bottom\"===g.side&&(w=g.ticklen)),h.drawTicks(n,g,{vals:T,layer:i[\"radial-axis\"],path:h.makeTickPath(g,0,A),transFn:x,crisp:!1}),h.drawGrid(n,g,{vals:k,layer:i[\"radial-grid\"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:T,layer:i[\"radial-axis\"],transFn:x,labelFns:h.makeLabelFns(g,w)})}var M=r.radialAxisAngle=r.vangles?F(U(R(d.angle),r.vangles)):d.angle,S=l(f,p),E=S+s(-M);V(i[\"radial-axis\"],y&&(d.showticklabels||d.ticks),{transform:E}),V(i[\"radial-grid\"],y&&d.showgrid,{transform:m?\"\":S}),V(i[\"radial-line\"].select(\"line\"),y&&d.showline,{x1:m?-a:c,y1:0,x2:a,y2:0,transform:E}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateRadialAxisTitle=function(t,e,r){if(!this.isSmith){var n=this,i=n.gd,a=n.radius,o=n.cx,s=n.cy,l=n.getRadial(e),u=n.id+\"title\",f=0;if(l.title){var h=c.bBox(n.layers[\"radial-axis\"].node()).height,p=l.title.font.size,d=l.side;f=\"top\"===d?p:\"counterclockwise\"===d?-(h+.4*p):h+.8*p}var v=void 0!==r?r:n.radialAxisAngle,g=R(v),y=Math.cos(g),m=Math.sin(g),b=o+a/2*y+f*m,_=s-a/2*m+f*y;n.layers[\"radial-axis-title\"]=x.draw(i,u,{propContainer:l,propName:n.id+\".radialaxis.title\",placeholder:D(i,\"Click to enter radial axis 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e=y(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+c*r,p-c*n]+\"L\"+[f+a*r,p-a*n]},w=h.makeLabelFns(v,0).labelStandoff,T={xFn:function(t){var e=y(t);return Math.cos(e)*w},yFn:function(t){var e=y(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=y(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=y(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+v._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(v.tickvals||[]).map((function(t){return h.tickText(v,t,!0,!1)})):h.calcTicks(v);if(g&&(S[0].text=\"∞\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(y),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===v.type&&(S=S.filter((function(t){return o.isAngleInsideSector(y(t),r.sectorInRad)}))),v.visible){var E=\"inside\"===v.ticks?-1:1,L=(v.linewidth||1)/2;h.drawTicks(n,v,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*v.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,v,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,v,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var 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,D=E.findEnclosingVertexAngles,z=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,H,q,G,Z,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 W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,v)),o=a-z,l=a+z;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*z);var n,i,a=K(t,e),o=K(t,r),l=O((a[0]+o[0])/2),u=O((a[1]+o[1])/2);if(l&&u){var c=u/l,f=-1/c,h=I(z,c,l,u);n=I(R,f,h[0][0],h[0][1]),i=I(R,f,h[1][0],h[1][1])}else{var p,d;u?(p=R,d=z):(p=z,d=R),n=[[l-p,u-d],[l+p,u-d]],i=[[l-p,u+d],[l+p,u+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,v),x),t<d?t=0:v-t<d?t=v:e<d?e=0:v-e<d&&(e=v),Math.abs(e-t)>p?(t<e?(j=t,U=e):(j=e,U=t),!0):(j=null,U=null,!1)}function et(t,e){t=t||V,e=e||\"M0,0Z\",G.attr(\"d\",t),Z.attr(\"d\",e),g.transitionZoombox(G,Z,H,q),H=!0;var r={};ot(r),c.emit(\"plotly_relayouting\",r)}function rt(t,n){var i,a,o=B+(t*=e),l=N+(n*=r),u=X(B,N),c=Math.min(X(o,l),v),f=J(B,N);tt(u,c)&&(i=V+s.pathSector(U),j&&(i+=s.pathSector(j)),a=$(j,f)+$(U,f)),et(i,a)}function 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n=r(39898),i=r(84267),a=r(73972),o=r(71828),s=o.strTranslate,l=o._,u=r(7901),c=r(91424),f=r(21994),h=r(1426).extendFlat,p=r(74875),d=r(89298),v=r(28569),g=r(30211),y=r(64505),m=y.freeMode,x=y.rectMode,b=r(92998),_=r(47322).prepSelect,w=r(47322).selectOnClick,T=r(47322).clearOutline,k=r(47322).clearSelectionsCache,A=r(85555);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId=\"clip\"+e.layoutId+e.id,a=e.clipIdRelative=\"clip-relative\"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.plotContainer=o.ensureSingle(e.container,\"g\",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,v=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],m=d.y[1]-d.y[0],x=y*e.w,b=m*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+c,y:e.y0+e.h+.83*s.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;D(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),u=Math.max(0,Math.min(1,N(r,n),N(o,s))),c=Math.max(0,Math.min(1,j(r,n),j(o,s))),v=(l/2+c)*M.w,g=(1-l/2-u)*M.w,m=(v+g)/2,x=g-v,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+u*h,c:f.c+c*h},T.attr(\"d\",y+\"M\"+v+\",\"+_+\"H\"+g+\"L\"+m+\",\"+w+\"L\"+v+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+v+\",\"+_+C+\"M\"+g+\",\"+_+P+\"M\"+m+\",\"+w+O)),b||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){D(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),I&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),I=!1))}function H(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(c.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function q(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,c){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var v=M.dragOptions.dragmode=L._fullLayout.dragmode;m(v)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===v?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var c=L._fullLayout._invTransform,v=o.apply3DTransform(c)(r,n);r=v[0],n=v[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",b=!1,T=z.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=z.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:u.background,stroke:u.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(L)}(0,l,c)):\"pan\"===v?(M.dragOptions.moveFn=H,M.dragOptions.clickFn=F,M.dragOptions.doneFn=q,f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,M.clearOutline(L)):(x(v)||m(v))&&_(a,l,c,M.dragOptions,v)}},S.onmousemove=function(t){g.hover(L,t,M.id),L._fullLayout._lasthover=S,L._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){L._dragging||v.unhover(L,t)},v.init(this.dragOptions)}},73972:function(t,e,r){\"use strict\";var n=r(47769),i=r(64213),a=r(75138),o=r(41965),s=r(24401).addStyleRule,l=r(1426),u=r(9012),c=r(10820),f=l.extendFlat,h=l.extendDeepAll;function 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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 h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},16688:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424),o=r(71828),s=r(73972),l=r(72597).resizeText,u=r(1486),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(69383);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){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}},83832:function(t,e,r){\"use strict\";t.exports={attributes:r(53522),layoutAttributes:r(40094),supplyDefaults:r(36411).supplyDefaults,crossTraceDefaults:r(36411).crossTraceDefaults,supplyLayoutDefaults:r(4199).supplyLayoutDefaults,calc:r(48518),crossTraceCalc:r(37188).crossTraceCalc,plot:r(86047).plot,style:r(58063).style,styleOnSelect:r(58063).styleOnSelect,hoverPoints:r(41868).hoverPoints,eventData:r(74907),selectPoints:r(24626),moduleType:\"trace\",name:\"box\",basePlotModule:r(93612),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},40094: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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t.forEach((function(t){t.t=n,t.trace=r})),t}:[]);f.enter().append(\"g\").attr(\"class\",\"points\"),f.exit().remove();var h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var o,s,l=e.val,u=e.pos,c=!!u.rangebreaks,f=a.bPos,h=a.bPosPxOffset||0,p=r.boxmean||(r.meanline||{}).visible;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var d=t.selectAll(\"path.mean\").data(\"box\"===r.type&&r.boxmean||\"violin\"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);d.enter().append(\"path\").attr(\"class\",\"mean\").style({fill:\"none\",\"vector-effect\":\"non-scaling-stroke\"}),d.exit().remove(),d.each((function(t){var e=u.c2l(t.pos+f,!0),i=u.l2p(e-o)+h,a=u.l2p(e+s)+h,d=c?(i+a)/2:u.l2p(e)+h,v=l.c2p(t.mean,!0),g=l.c2p(t.mean-t.sd,!0),y=l.c2p(t.mean+t.sd,!0);\"h\"===r.orientation?n.select(this).attr(\"d\",\"M\"+v+\",\"+i+\"V\"+a+(\"sd\"===p?\"m0,0L\"+g+\",\"+d+\"L\"+v+\",\"+i+\"L\"+y+\",\"+d+\"Z\":\"\")):n.select(this).attr(\"d\",\"M\"+i+\",\"+v+\"H\"+a+(\"sd\"===p?\"m0,0L\"+d+\",\"+g+\"L\"+i+\",\"+v+\"L\"+d+\",\"+y+\"Z\":\"\"))}))}t.exports={plot:function(t,e,r,a){var u=t._context.staticPlot,c=e.xaxis,f=e.yaxis;i.makeTraceGroups(a,r,\"trace boxes\").each((function(t){var e,r,i=n.select(this),a=t[0],h=a.t,p=a.trace;h.wdPos=h.bdPos*p.whiskerwidth,!0!==p.visible||h.empty?i.remove():(\"h\"===p.orientation?(e=f,r=c):(e=c,r=f),o(i,{pos:e,val:r},p,h,u),s(i,{x:c,y:f},p,h),l(i,{pos:e,val:r},p,h))}))},plotBoxAndWhiskers:o,plotPoints:s,plotBoxMean:l}},24626:function(t){\"use strict\";t.exports=function(t,e){var r,n,i=t.cd,a=t.xaxis,o=t.yaxis,s=[];if(!1===e)for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++)i[r].pts[n].selected=0;else for(r=0;r<i.length;r++)for(n=0;n<(i[r].pts||[]).length;n++){var l=i[r].pts[n],u=a.c2p(l.x),c=o.c2p(l.y);e.contains([u,c],null,l.i,t)?(s.push({pointNumber:l.i,x:a.c2d(l.x),y:o.c2d(l.y)}),l.selected=1):l.selected=0}return s}},58063:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424);t.exports={style:function(t,e,r){var o=r||n.select(t).selectAll(\"g.trace.boxes\");o.style(\"opacity\",(function(t){return 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n=r(82196),i=r(9012),a=r(41940),o=r(12663).axisHoverFormat,s=r(5386).fF,l=r(5386).si,u=r(50693),c=r(1426).extendFlat;t.exports=c({z:{valType:\"data_array\",editType:\"calc\"},x:c({},n.x,{impliedEdits:{xtype:\"array\"}}),x0:c({},n.x0,{impliedEdits:{xtype:\"scaled\"}}),dx:c({},n.dx,{impliedEdits:{xtype:\"scaled\"}}),y:c({},n.y,{impliedEdits:{ytype:\"array\"}}),y0:c({},n.y0,{impliedEdits:{ytype:\"scaled\"}}),dy:c({},n.dy,{impliedEdits:{ytype:\"scaled\"}}),xperiod:c({},n.xperiod,{impliedEdits:{xtype:\"scaled\"}}),yperiod:c({},n.yperiod,{impliedEdits:{ytype:\"scaled\"}}),xperiod0:c({},n.xperiod0,{impliedEdits:{xtype:\"scaled\"}}),yperiod0:c({},n.yperiod0,{impliedEdits:{ytype:\"scaled\"}}),xperiodalignment:c({},n.xperiodalignment,{impliedEdits:{xtype:\"scaled\"}}),yperiodalignment:c({},n.yperiodalignment,{impliedEdits:{ytype:\"scaled\"}}),text:{valType:\"data_array\",editType:\"calc\"},hovertext:{valType:\"data_array\",editType:\"calc\"},transpose:{valType:\"boolean\",dflt:!1,editType:\"calc\"},xtype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},ytype:{valType:\"enumerated\",values:[\"array\",\"scaled\"],editType:\"calc+clearAxisTypes\"},zsmooth:{valType:\"enumerated\",values:[\"fast\",\"best\",!1],dflt:!1,editType:\"calc\"},hoverongaps:{valType:\"boolean\",dflt:!0,editType:\"none\"},connectgaps:{valType:\"boolean\",editType:\"calc\"},xgap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},ygap:{valType:\"number\",dflt:0,min:0,editType:\"plot\"},xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:s(),texttemplate:l({arrayOk:!1,editType:\"plot\"},{keys:[\"x\",\"y\",\"z\",\"text\"]}),textfont:a({editType:\"plot\",autoSize:!0,autoColor:!0,colorEditType:\"style\"}),showlegend:c({},i.showlegend,{dflt:!1})},{transforms:void 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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(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=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(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){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 g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(t){for(var e=[],r=D(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return c.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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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={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\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).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)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var u=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(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 d(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function v(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function y(t){var e=\"0\"+t;return e.substr(e.length-2)}function m(t){return t<o?\"p\"+y(t+1)+\"_\"+y(t+4):\"colors\"}function x(t,e,r,n,i,a,o,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;o*=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 s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-o+y:u+.5)+(n===e?o+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function b(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,n,u,y,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var e={},r=0;r<=o;r+=4)e[m(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(k),C=k.texture(f),P=[];I(e);var O=k({profile:!1,blend:{enable:w,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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I(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),y=u[0]?u[0].values.length:0;var e=r.lines,i=T?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var u=0;u<o;u++)i[a++]=u<e.length?e[u].paddedUnitValues[s]:.5;i[a++]=v(s,2),i[a++]=v(s,1),i[a++]=v(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(.999999,n)))}return i}(y,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[m(n)](g(n/4,e,r))}(L,y,a),w||T||(C=k.texture(s.extendFlat({data:d(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&h(k,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<u.length;e++){var s=e%8,l=(e-s)/8,c=Math.pow(2,s),f=u[e].brush.filter.get();if(!(f.length<2)){var h=b(f[0])[1];for(r=1;r<f.length;r++){var p=b(f[r]);for(n=h+1;n<p[0];n++)o[8*n+l]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return _?_(d):_=k.texture(d),{maskTexture:_,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(w);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,g=d.dim1.crossfilterDimensionIndex,m=d.canvasX,A=d.canvasY,M=m+d.panelSizeX,S=d.plotGlPixelRatio;if(e||!P[v]||P[v][0]!==m||P[v][1]!==M){P[v]=[m,M];var L=x(r,a,o,i,v,g,m,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,w?0:T?2:1,f,S);E.clearOnly=n;var C=e?r.lines.blockLineCount:y;p(k,O,E,C,y,L)}}},readPixel:function(t,e){return k.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return k.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",C.destroy(),_&&_.destroy(),L)L[e].destroy()},update:I}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,u=r.canvasPixelRatio,c=function(t){return o*t/Math.max(1,r.colCount-1)},f=m.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,m.verticalPadding),p={key:r.key,xScale:c,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(y.isVisible).map((function(o,l){var v=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),g=d[o.label];d[o.label]=(g||0)+1;var b=o.label+(g?\"__\"+g:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(v)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function O(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var I=1;I<C.length;I++)if(C[I]<C[I-1]){for(var D=C.map(P).sort(O),z=0;z<C.length;z++)C[z]=D[z].val,L[z]=D[z].text;break}}else C=void 0;return S=y.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:y.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(v),unitTickvals:C&&C.map(v),xScale:c,x:c(l),canvasX:c(l)*u,unitToPaddedPx:h,domainScale:A(s,m.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=v.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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e=t.model.height/t.model.tickDistance,r=t.domainScale,i=r.domain();n.select(this).call(n.svg.axis().orient(\"left\").tickSize(4).outerTickSize(2).ticks(e,t.tickFormat).tickValues(t.ordinal?i:null).tickFormat((function(e){return y.isOrdinal(t)?e:D(t.model.dimensions[t.visibleIndex],e)})).scale(r)),f.font(q.selectAll(\"text\"),t.model.tickFont)})),q.selectAll(\".domain, .tick>line\").attr(\"fill\",\"none\").attr(\"stroke\",\"black\").attr(\"stroke-opacity\",.25).attr(\"stroke-width\",\"1px\"),q.selectAll(\"text\").style(\"text-shadow\",c.makeTextShadow(A)).style(\"cursor\",\"default\");var G=H.selectAll(\".\"+m.cn.axisHeading).data(v,d);G.enter().append(\"g\").classed(m.cn.axisHeading,!0);var Z=G.selectAll(\".\"+m.cn.axisTitle).data(v,d);Z.enter().append(\"text\").classed(m.cn.axisTitle,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"ew-resize\").style(\"pointer-events\",o?\"none\":\"auto\"),Z.text((function(t){return t.label})).each((function(e){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var 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},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,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(74875);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)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText,l=r(71828).coercePattern;function u(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 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\",Array.isArray(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\")}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}}},20007:function(t,e,r){\"use strict\";var n=r(23469).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}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);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\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var 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(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(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=D(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=D(a,s),r.midangle=s,n=D(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v<t._fullData.length;v++)if(t._fullData[v].visible&&t._fullData[v].type===u.sankey&&!t._fullData[v]._viewInitial){var g=t._fullData[v].node;t._fullData[v]._viewInitial={node:{groups:g.groups.slice(),x:g.x.slice(),y:g.y.slice()}}}var w=c(t,\"source:\")+\" \",T=c(t,\"target:\")+\" \",k=c(t,\"concentration:\")+\" \",A=c(t,\"incoming flow count:\")+\" \",M=c(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var u=[],c=0,h=0;h<i.flow.links.length;h++){var v=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===v.pointNumber){i.link.pointNumber===v.pointNumber&&(c=h),v.fullData=v.trace,o=i.link.trace.link;var g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(y,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=u(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"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(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p})),n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:v,height:g,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,linkArrowLength:a.link.arrowlen,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:c.x[0]*t.width+t.margin.l,translateY:t.height-c.y[1]*t.height+t.margin.t,dragParallel:f?g:v,dragPerpendicular:f?v:g,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=u(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(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 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY-r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\":\"M \"+(n.targetX-e)+\" \"+(n.targetY-r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-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 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b=u<2||i[0]!==i[u-1]||o[0]!==o[u-1];b&&(\"tozerox\"===y||\"tonextx\"===y&&(p||\"h\"===d))?m.tozero=!0:(e.error_y||{}).visible||\"tonexty\"!==y&&\"tozeroy\"!==y&&(l.hasMarkers(e)||l.hasText(e))||(m.padded=!1,m.ppad=0),b&&(\"tozeroy\"===y||\"tonexty\"===y&&(p||\"v\"===d))?x.tozero=!0:\"tonextx\"!==y&&\"tozerox\"!==y||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,m)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r=\"area\"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:\"linear\"};a.setConvert(s);for(var u=s.makeCalcdata(t.marker,\"size\"),c=new Array(e),f=0;f<e;f++)c[f]=r(u[f]);return c}return r(n.size)}}function d(t,e){var r=v(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function v(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?\"-\"+e:\"\")}function g(t,e,r,n){var i=t.stackgroup;if(i){var 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n=r(52075).hasColorscale,i=r(78803),a=r(34098);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},47581:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},72626:function(t,e,r){\"use strict\";var n=r(47761),i=r(11661).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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n=r(82196),i=r(9012),a=r(5386).fF,o=r(5386).si,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.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>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.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,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);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.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),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}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).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=Array.isArray(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)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);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)}},68645:function(t,e,r){\"use strict\";var n=r(78232);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}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);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=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.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 D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?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}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).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 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n=r(5386).fF,i=r(5386).si,a=r(19316),o=r(82196),s=r(23585),l=r(9012),u=r(50693),c=r(1426).extendFlat,f=r(30962).overrideAll,h=r(23585),p=a.line,d=a.marker;t.exports=f({lon:a.lon,lat:a.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:c({},h.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:c({},d.opacity,{dflt:1})},mode:c({},o.mode,{dflt:\"markers\"}),text:c({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:c({},o.hovertext,{}),line:{color:p.color,width:p.width},connectgaps:o.connectgaps,marker:c({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:d.opacity,size:d.size,sizeref:d.sizeref,sizemin:d.sizemin,sizemode:d.sizemode},u(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:c({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},15790:function(t,e,r){\"use 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r,a=e[0].trace,b=!0===a.visible&&0!==a._length,_=\"none\"!==a.fill,w=c.hasLines(a),T=c.hasMarkers(a),k=c.hasText(a),A=T&&\"circle\"===a.marker.symbol,M=T&&\"circle\"!==a.marker.symbol,S=a.cluster&&a.cluster.enabled,E=v(\"fill\"),L=v(\"line\"),C=v(\"circle\"),P=v(\"symbol\"),O={fill:E,line:L,circle:C,symbol:P};if(!b)return O;if((_||w)&&(r=o.calcTraceToLineCoords(e)),_&&(E.geojson=o.makePolygon(r),E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"fill-color\":a.fillcolor})),w&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),A){var I=function(t){var e,r,a,o,c=t[0].trace,f=c.marker,h=c.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),v=i.isArrayOrTypedArray(f.opacity);function g(t){return c.opacity*t}p&&(r=s.hasColorscale(c,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity),d&&(a=u(c)),v&&(o=function(t){return 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset,\"text-font\":a.textfont.family.split(\", \")}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181),c=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extra Bold Italic\",\"Open Sans Extra Bold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports=function(t,e,r,f){function h(r,i){return n.coerce(t,e,u,r,i)}function p(r,i){return n.coerce2(t,e,u,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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n=r(35948),i=r(20794).calcHover;t.exports={hoverPoints:function(t,e,r){var a=t.cd[0].trace,o=t.scene.matrixOptions.cdata,s=t.xa,l=t.ya,u=s.c2p(e),c=l.c2p(r),f=t.distance,h=n.getDimIndex(a,s),p=n.getDimIndex(a,l);if(!1===h||!1===p)return[t];for(var d,v,g=o[h],y=o[p],m=f,x=0;x<g.length;x++){var b=g[x],_=y[x],w=s.c2p(b)-u,T=l.c2p(_)-c,k=Math.sqrt(w*w+T*T);k<m&&(m=v=k,d=x)}return t.index=d,t.distance=m,t.dxy=v,void 0===d?[t]:[i(t,g,y,a)]}}},6419:function(t,e,r){\"use strict\";var n=r(65017);n.basePlotModule=r(16947),t.exports=n},79410:function(t,e,r){\"use strict\";var n=r(60487),i=r(71828),a=r(41675),o=r(64505).selectMode;function s(t,e){var r,s,l,u,c,f=t._fullLayout,h=f._size,p=e.trace,d=e.t,v=f._splomScenes[p.uid],g=v.matrixOptions,y=g.cdata,m=f._glcanvas.data()[0].regl,x=f.dragmode;if(0!==y.length){g.lower=p.showupperhalf,g.upper=p.showlowerhalf,g.diagonal=p.diagonal.visible;var b=p._visibleDims,_=y.length,w=v.viewOpts={};for(w.ranges=new Array(_),w.domains=new 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B=i.extendFlat({},g,v.unselectedOptions,w),N=i.extendFlat({},g,v.selectedOptions,w);v.matrix.update(B,N),P=!1}}else d.xpx=d.ypx=null;if(P){var j=i.extendFlat({},g,w);v.matrix.update(j,null)}}}t.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)s(t,r[n][0])}},10164:function(t,e,r){\"use strict\";var n=r(71828);t.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0,selectBatch:[],unselectBatch:[]},s=a[e.uid];return s||((s=a[i]=n.extendFlat({},o,{matrix:!1,selectBatch:[],unselectBatch:[]})).draw=function(){s.matrix&&s.matrix.draw&&(s.selectBatch.length||s.unselectBatch.length?s.matrix.draw(s.unselectBatch,s.selectBatch):s.matrix.draw()),s.dirty=!1},s.destroy=function(){s.matrix&&s.matrix.destroy&&s.matrix.destroy(),s.matrixOptions=null,s.selectBatch=null,s.unselectBatch=null,s=null}),s.dirty||n.extendFlat(s,o),s}},8689:function(t,e,r){\"use strict\";var n=r(71828),i=n.pushUnique,a=r(34098),o=r(35948);t.exports=function(t,e){var r=t.cd,s=r[0].trace,l=r[0].t,u=t.scene,c=u.matrixOptions.cdata,f=t.xaxis,h=t.yaxis,p=[];if(!u)return p;var d=!a.hasMarkers(s)&&!a.hasText(s);if(!0!==s.visible||d)return p;var v=o.getDimIndex(s,f),g=o.getDimIndex(s,h);if(!1===v||!1===g)return p;var y=l.xpx[v],m=l.ypx[g],x=c[v],b=c[g],_=(t.scene.selectBatch||[]).slice(),w=[];if(!1!==e&&!e.degenerate)for(var T=0;T<x.length;T++)e.contains([y[T],m[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:b[T]}),i(_,T)):-1!==_.indexOf(T)?i(_,T):w.push(T);var k=u.matrixOptions;return _.length||w.length?u.selectBatch.length||u.unselectBatch.length||u.matrix.update(u.unselectedOptions,n.extendFlat({},k,u.selectedOptions,u.viewOpts)):u.matrix.update(k,null),u.selectBatch=_,u.unselectBatch=w,p}},21850:function(t,e,r){\"use strict\";var n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(2418),s=r(9012),l=r(1426).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),D=C(A[3]),z=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),H=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},90154:function(t,e,r){\"use strict\";var n=r(9330).gl_streamtube3d,i=n.createTubeMesh,a=r(71828),o=r(81697).parseColorScale,s=r(21081).extractOpts,l=r(90060),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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e.listPath(t,\"label\").join(\"/\")+\"/\"},e.formatValue=o.formatPieValue,e.formatPercent=function(t,e){var r=n.formatPercent(t,0);return\"0%\"===r&&(r=o.formatPiePercent(t,e)),r}},87619:function(t,e,r){\"use strict\";t.exports={moduleType:\"trace\",name:\"sunburst\",basePlotModule:r(66888),categories:[],animatable:!0,attributes:r(57564),layoutAttributes:r(2654),supplyDefaults:r(17094),supplyLayoutDefaults:r(57034),calc:r(52147).calc,crossTraceCalc:r(52147).crossTraceCalc,plot:r(24714).plot,style:r(29969).style,colorbar:r(4898),meta:{}}},2654:function(t){\"use strict\";t.exports={sunburstcolorway:{valType:\"colorlist\",editType:\"calc\"},extendsunburstcolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},57034:function(t,e,r){\"use strict\";var n=r(71828),i=r(2654);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"sunburstcolorway\",e.colorway),r(\"extendsunburstcolors\")}},24714:function(t,e,r){\"use strict\";var 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),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=W(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(X){var i=t.x1>X?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:W(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||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText,s=r(43467);function l(t,e,r,n){var 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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 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n=r(78803);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 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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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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).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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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:g.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-g.y[1]),size:t._fullLayout._size,width:y,maxLineWidth:L,height:m,columnOrder:M,groupHeight:m,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:v}),gdColumns:v.map((function(t){return t[0]})),gdColumnsOriginalOrder:v.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:v.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:c,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=c(t)})),C}},56269:function(t,e,r){\"use strict\";var n=r(1426).extendFlat;e.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},e.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0;return[r,e?r+e.rows.length:0]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},96595:function(t,e,r){\"use strict\";t.exports={attributes:r(44464),supplyDefaults:r(39754),calc:r(76333),plot:r(36736),moduleType:\"trace\",name:\"table\",basePlotModule:r(99469),categories:[\"noOpacity\"],meta:{}}},36736:function(t,e,r){\"use strict\";var n=r(49850),i=r(39898),a=r(71828).numberFormat,o=r(28984),s=r(91424),l=r(63893),u=r(71828).raiseToTop,c=r(71828).strTranslate,f=r(71828).cancelTransition,h=r(51018),p=r(56269),d=r(7901);function v(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function g(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function y(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function m(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return z(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return c(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return c(0,t.scrollbarState.topY||0)}));var u=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);u.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),u.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),u.transition().delay(0).duration(0),u.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(u.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r),u=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(l);!function(t){t.each((function(t,e){var r=t.calcdata.cells.font,n=t.column.specIndex,i={size:T(r.size,n,e),color:T(r.color,n,e),family:T(r.family,n,e)};t.rowNumber=t.key,t.align=T(t.calcdata.cells.align,n,e),t.cellBorderWidth=T(t.calcdata.cells.line.width,n,e),t.font=i}))}(u);var c=function(t){var e=t.selectAll(\".\"+n.cn.cellRect).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"rect\").classed(n.cn.cellRect,!0),e}(u);!function(t){t.attr(\"width\",(function(t){return t.column.columnWidth})).attr(\"stroke-width\",(function(t){return t.cellBorderWidth})).each((function(t){var e=i.select(this);d.stroke(e,T(t.calcdata.cells.line.color,t.column.specIndex,t.rowNumber)),d.fill(e,T(t.calcdata.cells.fill.color,t.column.specIndex,t.rowNumber))}))}(c);var f=function(t){var e=t.selectAll(\".\"+n.cn.cellTextHolder).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.cellTextHolder,!0).style(\"shape-rendering\",\"geometricPrecision\"),e}(u),h=function(t){var e=t.selectAll(\".\"+n.cn.cellText).data(o.repeat,(function(t){return t.keyWithinBlock}));return e.enter().append(\"text\").classed(n.cn.cellText,!0).style(\"cursor\",(function(){return\"auto\"})).on(\"mousedown\",(function(){i.event.stopPropagation()})),e}(f);!function(t){t.each((function(t){s.font(i.select(this),t.font)}))}(h),_(h,e,a,t),D(u)}function _(t,e,r,o){t.text((function(t){var e=t.column.specIndex,r=t.rowNumber,i=t.value,o=\"string\"==typeof i,s=o&&i.match(/<br>/i),l=!o||s;t.mayHaveMarkup=o&&i.match(/[<&>]/);var u,c=\"string\"==typeof(u=i)&&u.match(n.latexCheck);t.latex=c;var f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" 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k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",c(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=m(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=z(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),u=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,u=0;u<s.length;u++)l+=s[u].rowHeight;o.allRowsHeight=l,e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var f=l.selectAll(\".\"+n.cn.yColumn).selectAll(\".\"+n.cn.columnBlock).filter(A);return E(t,f,l),s.scrollY===c}}function C(t,e,r,n,i,a,o){n[o]!==i[o]&&(clearTimeout(a.currentRepaint[o]),a.currentRepaint[o]=setTimeout((function(){var a=r.filter((function(t,e){return e===o&&n[e]!==i[e]}));b(t,e,a,r),i[o]=n[o]})))}function P(t,e,r,a){return function(){var o=i.select(e.parentNode);o.each((function(t){var e=t.fragments;o.selectAll(\"tspan.line\").each((function(t,r){e[r].width=this.getComputedTextLength()}));var 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r=!t._context.staticPlot,a=t._fullLayout._paper.selectAll(\".\"+n.cn.table).data(e.map((function(e){var r=o.unwrap(e).trace;return h(t,r)})),o.keyFun);a.exit().remove(),a.enter().append(\"g\").classed(n.cn.table,!0).attr(\"overflow\",\"visible\").style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"overflow\",\"visible\").style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"all\"),a.attr(\"width\",(function(t){return t.width+t.size.l+t.size.r})).attr(\"height\",(function(t){return t.height+t.size.t+t.size.b})).attr(\"transform\",(function(t){return c(t.translateX,t.translateY)}));var l=a.selectAll(\".\"+n.cn.tableControlView).data(o.repeat,o.keyFun),d=l.enter().append(\"g\").classed(n.cn.tableControlView,!0).style(\"box-sizing\",\"content-box\");if(r){var _=\"onwheel\"in document?\"wheel\":\"mousewheel\";d.on(\"mousemove\",(function(e){l.filter((function(t){return 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c=[\"\",\"0\",\"00\",\"000\",\"0000\",\"00000\",\"000000\",\"0000000\",\"00000000\",\"000000000\",\"0000000000\",\"00000000000\",\"000000000000\",\"0000000000000\",\"00000000000000\",\"000000000000000\",\"0000000000000000\",\"00000000000000000\",\"000000000000000000\",\"0000000000000000000\",\"00000000000000000000\",\"000000000000000000000\",\"0000000000000000000000\",\"00000000000000000000000\",\"000000000000000000000000\",\"0000000000000000000000000\"],f=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function p(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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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,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),v(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var 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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}})},7453:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(9557),i=r(1681),a=r(1011),o=r(2864),s=r(8468),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function 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.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=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),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(R<0||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==z&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==z&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),s=new Array(16),l=new Array(8),u=new Array(8),c=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],u[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},1681:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(5827),i=r(2944),a=r(1943).j,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.j=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,n[d][v].fontSize||12,1.25,p);c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},f.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},8468:function(t,e){\"use 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}},2771: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(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,u=0;u<3;++u)s[u]=o[u]=r[u];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,u,c){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=c,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},1950:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function u(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],u=n[15],c=(t._ortho?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*u)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*c,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var c=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=c[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){\"lineWidth\"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),\"capSize\"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var c=r[l],h=0;h<3;++h)if(isNaN(c[h])||!isFinite(c[h]))continue t;var p,d=n[l],v=e[s];Array.isArray(v[0])&&(v=e[l]),3===v.length?v=[v[0],v[1],v[2],1]:4===v.length&&(v=[v[0],v[1],v[2],v[3]],!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0)),isNaN(d[0][s])||isNaN(d[1][s])||(d[0][s]<0&&((p=c.slice())[s]+=d[0][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)),d[1][s]>0&&((p=c.slice())[s]+=d[1][s],i.push(c[0],c[1],c[2],v[0],v[1],v[2],v[3],0,0,0,p[0],p[1],p[2],v[0],v[1],v[2],v[3],0,0,0),u(this.bounds,p),o+=2+f(i,p,v,s)))}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},7667:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, offset;\\nattribute vec4 color;\\nuniform mat4 model, view, projection;\\nuniform float capSize;\\nvarying vec4 fragColor;\\nvarying vec3 fragPosition;\\n\\nvoid main() {\\n  vec4 worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var v=!0;\"depth\"in n&&(v=!!n.depth);var g=!1;return\"stencil\"in n&&(g=!!n.stencil),new d(t,e,r,h,f,v,g,u)};var i,a,o,s,l=null;function u(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},6386:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);function u(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-u)):(D=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),z=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*D+.5*z,k[2*S+1]=.5*P+.5*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},1292:function(t,e,r){\"use strict\";var n=r(6832);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e<h.length;++e){var y,m,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=u(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=0,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2]),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),u=1-a,c=[0,0,0],f=0;f<3;++f)c[f]=u*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},7332:function(t){t.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},9823:function(t){t.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7787:function(t){t.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],u=t[8],c=t[9],f=t[10],h=t[11],p=t[12],d=t[13],v=t[14],g=t[15];return(e*o-r*a)*(f*g-h*v)-(e*s-n*a)*(c*g-h*d)+(e*l-i*a)*(c*v-f*d)+(r*s-n*o)*(u*g-h*p)-(r*l-i*o)*(u*v-f*p)+(n*l-i*s)*(u*d-c*p)}},5950:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,u=r*o,c=n*o,f=n*s,h=i*o,p=i*s,d=i*l,v=a*o,g=a*s,y=a*l;return t[0]=1-f-d,t[1]=c+y,t[2]=h-g,t[3]=0,t[4]=c-y,t[5]=1-u-d,t[6]=p+v,t[7]=0,t[8]=h+g,t[9]=p-v,t[10]=1-u-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7280:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,u=a+a,c=n*s,f=n*l,h=n*u,p=i*l,d=i*u,v=a*u,g=o*s,y=o*l,m=o*u;return t[0]=1-(p+v),t[1]=f+m,t[2]=h-y,t[3]=0,t[4]=f-m,t[5]=1-(c+v),t[6]=d+g,t[7]=0,t[8]=h+y,t[9]=d-g,t[10]=1-(c+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},9947:function(t){t.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},7437:function(t){t.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],u=e[7],c=e[8],f=e[9],h=e[10],p=e[11],d=e[12],v=e[13],g=e[14],y=e[15],m=r*s-n*o,x=r*l-i*o,b=r*u-a*o,_=n*l-i*s,w=n*u-a*s,T=i*u-a*l,k=c*v-f*d,A=c*g-h*d,M=c*y-p*d,S=f*g-h*v,E=f*y-p*v,L=h*y-p*g,C=m*L-x*E+b*S+_*M-w*A+T*k;return C?(C=1/C,t[0]=(s*L-l*E+u*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(v*T-g*w+y*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-u*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(g*b-d*T-y*x)*C,t[7]=(c*T-h*b+p*x)*C,t[8]=(o*E-s*M+u*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-v*b+y*m)*C,t[11]=(f*b-c*w-p*m)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(v*x-d*_-g*m)*C,t[15]=(c*_-f*x+h*m)*C,t):null}},3012:function(t,e,r){var n=r(9947);t.exports=function(t,e,r,i){var a,o,s,l,u,c,f,h,p,d,v=e[0],g=e[1],y=e[2],m=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];return Math.abs(v-_)<1e-6&&Math.abs(g-w)<1e-6&&Math.abs(y-T)<1e-6?n(t):(f=v-_,h=g-w,p=y-T,a=x*(p*=d=1/Math.sqrt(f*f+h*h+p*p))-b*(h*=d),o=b*(f*=d)-m*p,s=m*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0),l=h*s-p*o,u=p*a-f*s,c=f*o-h*a,(d=Math.sqrt(l*l+u*u+c*c))?(l*=d=1/d,u*=d,c*=d):(l=0,u=0,c=0),t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=u,t[6]=h,t[7]=0,t[8]=s,t[9]=c,t[10]=p,t[11]=0,t[12]=-(a*v+o*g+s*y),t[13]=-(l*v+u*g+c*y),t[14]=-(f*v+h*g+p*y),t[15]=1,t)}},104:function(t){t.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],v=e[12],g=e[13],y=e[14],m=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*v,t[1]=x*i+b*l+_*h+w*g,t[2]=x*a+b*u+_*p+w*y,t[3]=x*o+b*c+_*d+w*m,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*v,t[5]=x*i+b*l+_*h+w*g,t[6]=x*a+b*u+_*p+w*y,t[7]=x*o+b*c+_*d+w*m,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*v,t[9]=x*i+b*l+_*h+w*g,t[10]=x*a+b*u+_*p+w*y,t[11]=x*o+b*c+_*d+w*m,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*v,t[13]=x*i+b*l+_*h+w*g,t[14]=x*a+b*u+_*p+w*y,t[15]=x*o+b*c+_*d+w*m,t}},5268:function(t){t.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t}},1120:function(t){t.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},4422:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);return Math.abs(P)<1e-6?null:(E*=P=1/P,L*=P,C*=P,i=Math.sin(r),o=1-(a=Math.cos(r)),s=e[0],l=e[1],u=e[2],c=e[3],f=e[4],h=e[5],p=e[6],d=e[7],v=e[8],g=e[9],y=e[10],m=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+v*_,t[1]=l*x+h*b+g*_,t[2]=u*x+p*b+y*_,t[3]=c*x+d*b+m*_,t[4]=s*w+f*T+v*k,t[5]=l*w+h*T+g*k,t[6]=u*w+p*T+y*k,t[7]=c*w+d*T+m*k,t[8]=s*A+f*M+v*S,t[9]=l*A+h*M+g*S,t[10]=u*A+p*M+y*S,t[11]=c*A+d*M+m*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t)}},6109:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[4]=a*i+u*n,t[5]=o*i+c*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=u*i-a*n,t[9]=c*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},7115:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},5240:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},3668:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},998:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},2142:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},4340:function(t,e,r){\"use strict\";var n=r(957),i=r(7309);function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}t.exports=function(t,e,r,a,l,u){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),f=0;f<t.length;++f)c[f]=o(t[f],r,a,l,u);var h=0,p=1/0;for(f=0;f<c.length;++f){for(var d=0,v=0;v<2;++v)d+=Math.pow(c[f][v]-e[v],2);d<p&&(p=d,h=f)}var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return c(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,I=t.cellIntensity,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,F);this.intensity=P||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,D,z,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},4554:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3016:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(5827),i=r(5158),a=r(5070),o=r(2709);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),D=0+6*O,z=6*Math.max(0,I-O),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},1154:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(5827),i=r(5158),a=r(2709);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2709:function(t,e,r){\"use strict\";var n=r(6832),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},5613:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},u.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},u.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},u.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},u.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},u.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]),this.screenBox,this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=c(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=c(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=c(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=c(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=c(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=c(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4296:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),c=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:u,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,z);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(z[0]=T,z[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(D)),S.axes=A,x.object&&S.draw(D),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var c=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,g=t.angle,y=t.lineColor,m=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),O=o.mallocUint32(S);if(S>0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)z[T]=U[T];z[3]=1}else if(4===U.length){for(T=0;T<4;++T)z[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else z[0]=z[1]=z[2]=0,z[3]=1;else z=[1,1,1,0];if(j)if(Array.isArray(y)){var U;if(3===(U=B?n<y.length?y[n]:[0,0,0,0]:y).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(g)?H=n<g.length?+g[n]:0:g&&(H=+g);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T]);var Z=i,Y=a;Z=0,Array.isArray(i)?Z=n<i.length?i[n]:0:i&&(Z=i),Y=0,Array.isArray(a)?Y=n<a.length?a[n]:0:a&&(Y=a);var W=[Z*=Z>0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T<X.length;++T)for(var K=X[T],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*I+Q]=z[Q];O[I]=m;var tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),e.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},6623:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(1884);function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}t.exports=function(t,e){var r=t.gl,s=new o(t,i(r,[0,0,0,1,1,0,1,1]),n(r,a.boxVertex,a.boxFragment));return s.update(e),t.addOverlay(s),s};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,u=t.viewBox,c=t.pixelRatio,f=(e[0]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],h=(e[1]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1],p=(e[2]-l[0])*(u[2]-u[0])/(l[2]-l[0])+u[0],d=(e[3]-l[1])*(u[3]-u[1])/(l[3]-l[1])+u[1];if(f=Math.max(f,u[0]),h=Math.max(h,u[1]),p=Math.min(p,u[2]),d=Math.min(d,u[3]),!(p<f||d<h)){o.bind();var v=s[2]-s[0],g=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,v,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,v,g,i),o.drawBox(p,h,v,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var 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h=u,p=c,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);for(f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f,d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},9578:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=z;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],D=1/0,z=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+k[q][0],Y=y+k[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];F[N++]=Z,F[N++]=Y,F[N++]=W,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=J,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,O=T*L,I=T*E,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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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 / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=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 t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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se=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};se.prototype.compare=function(t,e){return this.collator.compare(t,e)},se.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var le=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},ue=function(t){this.sections=t};ue.fromString=function(t){return new ue([new le(t,null,null,null,null)])},ue.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},ue.factory=function(t){return t instanceof ue?t:ue.fromString(t)},ue.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},ue.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];if(n.image)t.push([\"image\",n.image.name]);else{t.push(n.text);var i={};n.fontStack&&(i[\"text-font\"]=[\"literal\",n.fontStack.split(\",\")]),n.scale&&(i[\"font-scale\"]=n.scale),n.textColor&&(i[\"text-color\"]=[\"rgba\"].concat(n.textColor.toArray())),t.push(i)}}return t};var ce=function(t){this.name=t.name,this.available=t.available};function fe(t,e,r,n){return\"number\"==typeof t&&t>=0&&t<=255&&\"number\"==typeof e&&e>=0&&e<=255&&\"number\"==typeof r&&r>=0&&r<=255?void 0===n||\"number\"==typeof n&&n>=0&&n<=1?null:\"Invalid rgba value [\"+[t,e,r,n].join(\", \")+\"]: 'a' must be between 0 and 1.\":\"Invalid rgba value [\"+(\"number\"==typeof n?[t,e,r,n]:[t,e,r]).join(\", \")+\"]: 'r', 'g', and 'b' must be between 0 and 255.\"}function he(t){if(null===t)return!0;if(\"string\"==typeof t)return!0;if(\"boolean\"==typeof t)return!0;if(\"number\"==typeof t)return!0;if(t instanceof oe)return!0;if(t instanceof se)return!0;if(t 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ve=function(t,e){this.type=t,this.value=e};ve.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!he(t[1]))return e.error(\"invalid value\");var r=t[1],n=pe(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new ve(n,r)},ve.prototype.evaluate=function(){return this.value},ve.prototype.eachChild=function(){},ve.prototype.outputDefined=function(){return!0},ve.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof oe?[\"rgba\"].concat(this.value.toArray()):this.value instanceof ue?this.value.serialize():this.value};var ge=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ge.prototype.toJSON=function(){return this.message};var ye={string:qt,number:Ht,boolean:Gt,object:Yt},me=function(t,e){this.type=t,this.args=e};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ye)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ye[s],n++}else a=Wt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=$t(a,o)}else r=ye[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Wt);if(!u)return null;l.push(u)}return new me(r,l)},me.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!ee(this.type,pe(r)))return r;if(e===this.args.length-1)throw new ge(\"Expected value to be of type \"+Qt(this.type)+\", but found \"+Qt(pe(r))+\" instead.\")}return null},me.prototype.eachChild=function(t){this.args.forEach(t)},me.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},me.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var xe=function(t){this.type=Jt,this.sections=t};xe.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Ht)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,$t(qt))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Zt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Wt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new xe(n)},xe.prototype.evaluate=function(t){return new ue(this.sections.map((function(e){var r=e.content.evaluate(t);return pe(r)===Kt?new le(\"\",r,null,null,null):new le(de(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},xe.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var be=function(t){this.type=Kt,this.input=t};be.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,qt);return r?new be(r):e.error(\"No image name provided.\")},be.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ce.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},be.prototype.eachChild=function(t){t(this.input)},be.prototype.outputDefined=function(){return!1},be.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var 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a=Je(e,n),o=e[a],s=e[a+1],l=xr.interpolationFactor(this.interpolation,n,o,s),u=r[a].evaluate(t),c=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Qe[this.type.kind.toLowerCase()](u,c,l):\"interpolate-hcl\"===this.operator?yr.reverse(yr.interpolate(yr.forward(u),yr.forward(c),l)):gr.reverse(gr.interpolate(gr.forward(u),gr.forward(c),l))},xr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},xr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},xr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var _r=function(t,e){this.type=t,this.args=e};_r.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var u=n&&i.some((function(t){return ee(n,t.type)}));return new _r(u?Wt:r,i)},_r.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof ce&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},_r.prototype.eachChild=function(t){this.args.forEach(t)},_r.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},_r.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var wr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};wr.prototype.evaluate=function(t){return this.result.evaluate(t)},wr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},wr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new wr(r,o):null},wr.prototype.outputDefined=function(){return this.result.outputDefined()},wr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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kr=function(t,e){this.type=Gt,this.needle=t,this.haystack=e};kr.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,Wt),n=e.parse(t[2],2,Wt);return r&&n?re(r.type,[Gt,qt,Ht,Vt,Wt])?new kr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\"):null},kr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(pe(e))+\" instead.\");if(!ne(r,[\"string\",\"array\"]))throw new ge(\"Expected second argument to be of type array or string, but found \"+Qt(pe(r))+\" instead.\");return r.indexOf(e)>=0},kr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},kr.prototype.outputDefined=function(){return!0},kr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Ar=function(t,e,r){this.type=Ht,this.needle=t,this.haystack=e,this.fromIndex=r};Ar.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Wt),n=e.parse(t[2],2,Wt);if(!r||!n)return null;if(!re(r.type,[Gt,qt,Ht,Vt,Wt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Qt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Ht);return i?new Ar(r,n,i):null}return new Ar(r,n)},Ar.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!ne(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ge(\"Expected first argument to be of type boolean, string, number or 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Er(r.type,r,n)},Er.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=this.beginIndex.evaluate(t);if(!ne(e,[\"string\",\"array\"]))throw new ge(\"Expected first argument to be of type array or string, but found \"+Qt(pe(e))+\" instead.\");if(this.endIndex){var n=this.endIndex.evaluate(t);return e.slice(r,n)}return e.slice(r)},Er.prototype.eachChild=function(t){t(this.input),t(this.beginIndex),this.endIndex&&t(this.endIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.endIndex&&void 0!==this.endIndex){var t=this.endIndex.serialize();return[\"slice\",this.input.serialize(),this.beginIndex.serialize(),t]}return[\"slice\",this.input.serialize(),this.beginIndex.serialize()]};var Or=Pr(\"==\",(function(t,e,r){return e===r}),Cr),Ir=Pr(\"!=\",(function(t,e,r){return e!==r}),(function(t,e,r,n){return!Cr(0,e,r,n)})),Dr=Pr(\"<\",(function(t,e,r){return e<r}),(function(t,e,r,n){return 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e=[],a=t.value,s=t.key;if(\"array\"!==Jr(a))return[new zt(s,a,\"array expected, \"+Jr(a)+\" found\")];if(2!==a.length)return[new zt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Jr(a[0]))return[new zt(s,a,\"object expected, \"+Jr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new zt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new zt(s,a,\"object stop key must have value\")];if(n&&n>Bt(a[0].zoom))return[new zt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Bt(a[0].zoom)!==n&&(n=Bt(a[0].zoom),r=void 0,o={}),e=e.concat(dn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:gn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return sn(Nt(a[1]))?e.concat([new zt(s+\"[1]\",a[1],\"expressions are not allowed in function 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t.length<=1?\"any\"!==r:\"==\"===r?Mn(t[1],t[2],\"==\"):\"!=\"===r?Ln(Mn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Un({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new zt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Jr(a)&&Yr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new zt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new zt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Kr(Nt(a))&&\"identity\"===Bt(a.type)&&f.push(new zt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Bt(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new zt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new zt(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 zt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new zt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new zt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new zt(n,r,'missing required property \"source\"'));return e=e.concat(dn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Un({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Cn,layout:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Dn(Ft({layerType:s},t))}}})},paint:function(t){return dn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return In(Ft({layerType:s},t))}}})}}})),e}function Rn(t){var e=t.value,r=t.key,n=Jr(e);return\"string\"!==n?[new zt(r,e,\"string expected, \"+n+\" found\")]:[]}var Fn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Jr(r))return Rn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Rn({key:e+\".\"+i,value:r[i]}));return n}};function Bn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new zt(r,e,'\"type\" is required')];var a,o=Bt(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return dn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Fn});case\"geojson\":if(a=dn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Fn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,mn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,mn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return dn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return dn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new zt(r,null,\"Please use runtime APIs to add canvas sources, rather than including them in stylesheets.\",\"source.canvas\")];default:return xn({key:r+\".type\",value:e.type,valueSpec:{values:[\"vector\",\"raster\",\"raster-dem\",\"geojson\",\"video\",\"image\"]},style:i,styleSpec:n})}}function Nn(t){var e=t.value,r=t.styleSpec,n=r.light,i=t.style,a=[],o=Jr(e);if(void 0===e)return a;if(\"object\"!==o)return a.concat([new zt(\"light\",e,\"object expected, \"+o+\" found\")]);for(var s in e){var l=s.match(/^(.*)-transition$/);a=l&&n[l[1]]&&n[l[1]].transition?a.concat(Un({key:s,value:e[s],valueSpec:r.transition,style:i,styleSpec:r})):n[s]?a.concat(Un({key:s,value:e[s],valueSpec:n[s],style:i,styleSpec:r})):a.concat([new zt(s,e[s],'unknown property \"'+s+'\"')])}return a}var jn={\"*\":function(){return[]},array:vn,boolean:function(t){var e=t.value,r=t.key,n=Jr(e);return\"boolean\"!==n?[new zt(r,e,\"boolean expected, \"+n+\" found\")]:[]},number:gn,color:function(t){var e=t.key,r=t.value,n=Jr(r);return\"string\"!==n?[new zt(e,r,\"color 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o=i[$n+a],s=i[$n+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[$n+n.length],u=i[$n+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Qn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Qn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Qn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Qn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[$n+o]=a,i.set(s,a),a+=s.length}return i[$n+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[$n+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var ti=self.ImageData,ei=self.ImageBitmap,ri={};function ni(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),ri[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ii in ni(\"Object\",Object),Kn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Kn.deserialize=function(t){return new Kn(t.buffer)},ni(\"Grid\",Kn),ni(\"Color\",oe),ni(\"Error\",Error),ni(\"ResolvedImage\",ce),ni(\"StylePropertyFunction\",hn),ni(\"StyleExpression\",on,{omit:[\"_evaluator\"]}),ni(\"ZoomDependentExpression\",cn),ni(\"ZoomConstantExpression\",un),ni(\"CompoundExpression\",Ae,{omit:[\"_evaluate\"]}),jr)jr[ii]._classRegistryKey||ni(\"Expression_\"+ii,jr[ii]);function ai(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function oi(t){return ei&&t instanceof ei}function si(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ai(t)||oi(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof ti)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(si(o,e))}return n}if(\"object\"==typeof t){var s=t.constructor,l=s._classRegistryKey;if(!l)throw new Error(\"can't serialize object of unregistered class\");var u=s.serialize?s.serialize(t,e):{};if(!s.serialize){for(var c in t)if(t.hasOwnProperty(c)&&!(ri[l].omit.indexOf(c)>=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class 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Aboriginal Syllabics\":function(t){return t>=5120&&t<=5759},Khmer:function(t){return t>=6016&&t<=6143},\"Unified Canadian Aboriginal Syllabics Extended\":function(t){return t>=6320&&t<=6399},\"General Punctuation\":function(t){return t>=8192&&t<=8303},\"Letterlike Symbols\":function(t){return t>=8448&&t<=8527},\"Number Forms\":function(t){return t>=8528&&t<=8591},\"Miscellaneous Technical\":function(t){return t>=8960&&t<=9215},\"Control Pictures\":function(t){return t>=9216&&t<=9279},\"Optical Character Recognition\":function(t){return t>=9280&&t<=9311},\"Enclosed Alphanumerics\":function(t){return t>=9312&&t<=9471},\"Geometric Shapes\":function(t){return t>=9632&&t<=9727},\"Miscellaneous Symbols\":function(t){return t>=9728&&t<=9983},\"Miscellaneous Symbols and Arrows\":function(t){return t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description 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t&&t.indexOf(\"NetworkError\")>-1&&(Ti=_i),wi&&wi(t)};function Mi(){Si.fire(new Pt(\"pluginStateChange\",{pluginStatus:Ti,pluginURL:ki}))}var Si=new It,Ei=function(){return Ti},Li=function(){if(Ti!==mi||!ki)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Ti=xi,Mi(),ki&&kt({url:ki},(function(t){t?Ai(t):(Ti=bi,Mi())}))},Ci={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Ti===bi||null!=Ci.applyArabicShaping},isLoading:function(){return Ti===xi},setState:function(t){Ti=t.pluginStatus,ki=t.pluginURL},isParsed:function(){return null!=Ci.applyArabicShaping&&null!=Ci.processBidirectionalText&&null!=Ci.processStyledBidirectionalText},getPluginURL:function(){return ki}},Pi=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 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b(this._values[t].transition)},Di.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ii(this._values[t].property)),this._values[t].transition=b(e)||void 0},Di.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},Di.prototype.transitioned=function(t,e){for(var r=new Ri(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},Di.prototype.untransitioned=function(){for(var t=new Ri(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 zi=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)};zi.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 Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ri.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};Fi.prototype.getValue=function(t){return b(this._values[t].value)},Fi.prototype.setValue=function(t,e){this._values[t]=new Oi(this._values[t].property,null===e?void 0:b(e))},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},Fi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},Bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Ni.prototype.get=function(t){return this._values[t]};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},ji.prototype.interpolate=function(t,e,r){var n=Qe[this.specification.type];return n?n(t,e,r):t};var Ui=function(t,e){this.specification=t,this.overrides=e};Ui.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Bi(this,t.expression,e)},Ui.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Qe[this.specification.type];return n?new Bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ui.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Bi(this,{kind:\"constant\",value:s},e)}return new Bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new Fi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Di(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ni(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Xn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Wn,n,t,e,r))return!1}if(y(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Jn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Dt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Bi&&Yr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(It),Wi={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Xi=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Ji=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ki(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Wi[i].BYTES_PER_ELEMENT),o=r=$i(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:$i(r,Math.max(n,e)),alignment:e}}function $i(t,e){return Math.ceil(t/e)*e}Ji.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Ji.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Ji.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Ji.prototype.clear=function(){this.length=0},Ji.prototype.resize=function(t){this.reserve(t),this.length=t},Ji.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Ji.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Ji);Qi.prototype.bytesPerElement=4,ni(\"StructArrayLayout2i4\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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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}(Ji);ea.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i4i12\",ea);var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Ji);ra.prototype.bytesPerElement=8,ni(\"StructArrayLayout2i4ub8\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Ji);na.prototype.bytesPerElement=18,ni(\"StructArrayLayout8ui2ub18\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,u,c,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=u,this.int16[p+9]=c,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Ji);ia.prototype.bytesPerElement=24,ni(\"StructArrayLayout4i4ui4i24\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Ji);aa.prototype.bytesPerElement=12,ni(\"StructArrayLayout3f12\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Ji);oa.prototype.bytesPerElement=4,ni(\"StructArrayLayout1ul4\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u){var c=10*t,f=5*t;return this.int16[c+0]=e,this.int16[c+1]=r,this.int16[c+2]=n,this.int16[c+3]=i,this.int16[c+4]=a,this.int16[c+5]=o,this.uint32[f+3]=s,this.uint16[c+8]=l,this.uint16[c+9]=u,t},e}(Ji);sa.prototype.bytesPerElement=20,ni(\"StructArrayLayout6i1ul2ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return 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this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Xi);Ta.prototype.size=48;var ka=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ta(this,t)},e}(ha);ni(\"PlacedSymbolArray\",ka);var Aa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Ga),Ya=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Ga),Wa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Ga),Xa=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return 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Float32Array(16),Qa=function(t){function e(e,r){t.call(this,e,r),this.current=$a}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Ga);function to(t){return[Ia(255*t.r,255*t.g),Ia(255*t.b,255*t.a)]}var eo=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return\"u_\"+t})),this.type=r};eo.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},eo.prototype.getBinding=function(t,e,r){return\"color\"===this.type?new Ka(t,e):new Ya(t,e)};var ro=function(t,e){this.uniformNames=e.map((function(t){return\"u_\"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};ro.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},ro.prototype.setUniform=function(t,e,r,n){var i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)},ro.prototype.getBinding=function(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Ja(t,e):new Ya(t,e)};var no=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?2:1,offset:0}})),this.paintVertexArray=new n};no.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new Pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},no.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},no.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=to(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},no.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))},no.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var io=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};io.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},io.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},io.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=to(r),a=to(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},io.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},io.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},io.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},io.prototype.getBinding=function(t,e,r){return new Ya(t,e)};var ao=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};ao.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},ao.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},ao.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var 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)}},ao.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Da.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Da.members,this.expression.isStateDependent))},ao.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var oo=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Bi&&Yr(o.property.specification)){var s=lo(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new ro(l.value,s):new eo(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=uo(a,u,\"source\");this.binders[a]=h?new ao(l,u,c,e,p,t.id):new no(l,s,u,p),i.push(\"/a_\"+a)}else{var d=uo(a,u,\"composite\");this.binders[a]=new io(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};oo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof no||e instanceof io?e.maxValue:0},oo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof no||o instanceof io||o instanceof ao)&&o.populatePaintArray(t,e,r,n,i)}},oo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ro&&n.setConstantPatternPositions(t,e)}},oo.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 no||h instanceof io||h instanceof ao)&&!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},oo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof eo||r instanceof ro)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},oo.prototype.getPaintVertexBuffers=function(){return this._buffers},oo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof eo||i instanceof ro||i instanceof io)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},oo.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)}},oo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof ao){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof no||r instanceof io)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},oo.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof no||r instanceof io||r instanceof ao)&&r.upload(t)}this.updatePaintBuffers()},oo.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof no||e instanceof io||e instanceof ao)&&e.destroy()}};var so=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new oo(o,r,n,t)}this.needsUpload=!1,this._featureMap=new ja,this._bufferOffset=0};function lo(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function uo(t,e,r){var n={color:{source:xa,composite:ba},number:{source:da,composite:xa}},i=function(t){return{\"line-pattern\":{source:na,composite:na},\"fill-pattern\":{source:na,composite:na},\"fill-extrusion-pattern\":{source:na,composite:na}}[t]}(t);return i&&i[r]||n[e][r]}so.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},so.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},so.prototype.get=function(t){return this.programConfigurations[t]},so.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},so.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},ni(\"ConstantBinder\",eo),ni(\"CrossFadedConstantBinder\",ro),ni(\"SourceExpressionBinder\",no),ni(\"CrossFadedCompositeBinder\",ao),ni(\"CompositeExpressionBinder\",io),ni(\"ProgramConfiguration\",oo,{omit:[\"_buffers\"]}),ni(\"ProgramConfigurationSet\",so);var co=8192;var fo,ho=(fo=15,{min:-1*Math.pow(2,fo-1),max:Math.pow(2,fo-1)-1});function po(t){for(var e=co/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<ho.min||o.x>ho.max||o.y<ho.min||o.y>ho.max)&&(w(\"Geometry exceeds allowed extent, reduce your vector tile buffer size\"),o.x=u(o.x,ho.min,ho.max),o.y=u(o.y,ho.min,ho.max))}return r}function vo(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var go=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Qi,this.indexArray=new fa,this.segments=new Oa,this.programConfigurations=new so(Pa,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function yo(t,e){for(var r=0;r<t.length;r++)if(Mo(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(Mo(t,e[n]))return!0;return!!_o(t,e)}function mo(t,e,r){return!!Mo(t,e)||!!To(e,t,r)}function xo(t,e){if(1===t.length)return Ao(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(Mo(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(Ao(e,t[a]))return!0;for(var o=0;o<e.length;o++)if(_o(t,e[o]))return!0;return!1}function bo(t,e,r){if(t.length>1){if(_o(t,e))return!0;for(var n=0;n<e.length;n++)if(To(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(To(t[i],e,r))return!0;return!1}function _o(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var 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n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Xs(t,e,r){if(3===t){var n=new Zs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ys.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Vs(this._pbf,e,this.extent,this._keys,this._values)};var Js={VectorTile:function(t,e){this.layers=t.readFields(Xs,{},e)},VectorTileFeature:Vs,VectorTileLayer:Zs},Ks=Js.VectorTileFeature.types,$s=Math.pow(2,13);function Qs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*$s)+o,i*$s*2,a*$s*2,Math.round(s))}var tl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ea,this.indexArray=new fa,this.programConfigurations=new so(Us,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function el(t,e){return t.x===e.x&&(t.x<0||t.x>co)||t.y===e.y&&(t.y<0||t.y>co)}tl.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=zs(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:c?po(o):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:po(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Rs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},tl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},tl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},tl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},tl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},tl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Us),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},tl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},tl.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Is(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].length;for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>co}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>co}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!el(y,m)){f.vertexLength+4>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Qs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Oa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ks[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Qs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=es(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ni(\"FillExtrusionBucket\",tl,{omit:[\"layers\",\"features\"]});var rl={paint:new Gi({\"fill-extrusion-opacity\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Vi(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ui(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new ji(Dt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},nl=function(t){function e(e){t.call(this,e,rl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new tl(t)},e.prototype.queryRadius=function(){return Lo(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=Co(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];No(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;xo(r,e)&&(n=al(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];yo(r,f)&&(n=Math.min(n,al(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Yi);function il(t,e){return t.x*e.x+t.y*e.y}function al(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),u=o.sub(i),c=il(s,s),f=il(s,l),h=il(l,l),p=il(u,s),d=il(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var ol=Ki([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,sl=Js.VectorTileFeature.types,ll=Math.cos(Math.PI/180*37.5),ul=Math.pow(2,14)/.5,cl=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new ra,this.indexArray=new fa,this.programConfigurations=new so(ol,t.layers,t.zoom),this.segments=new Oa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};cl.prototype.populate=function(t,e,r){this.hasPattern=zs(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:u,properties:l.properties,geometry:h?po(l):[]};if(this.layers[0]._featureFilter.filter(new Pi(this.zoom),p,r)){h||(p.geometry=po(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=Rs(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},cl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},cl.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},cl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},cl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},cl.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ol),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},cl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},cl.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},cl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===sl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*co/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<ll&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(z)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},cl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>ul/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},cl.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},cl.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(ul-1):this.distance},cl.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},ni(\"LineBucket\",cl,{omit:[\"layers\",\"patternFeatures\"]});var fl=new Gi({\"line-cap\":new ji(Dt.layout_line[\"line-cap\"]),\"line-join\":new Ui(Dt.layout_line[\"line-join\"]),\"line-miter-limit\":new ji(Dt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new ji(Dt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ui(Dt.layout_line[\"line-sort-key\"])}),hl={paint:new Gi({\"line-opacity\":new Ui(Dt.paint_line[\"line-opacity\"]),\"line-color\":new Ui(Dt.paint_line[\"line-color\"]),\"line-translate\":new ji(Dt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new ji(Dt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ui(Dt.paint_line[\"line-width\"]),\"line-gap-width\":new Ui(Dt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ui(Dt.paint_line[\"line-offset\"]),\"line-blur\":new Ui(Dt.paint_line[\"line-blur\"]),\"line-dasharray\":new Hi(Dt.paint_line[\"line-dasharray\"]),\"line-pattern\":new Vi(Dt.paint_line[\"line-pattern\"]),\"line-gradient\":new qi(Dt.paint_line[\"line-gradient\"])}),layout:fl},pl=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ui),dl=new pl(hl.paint.properties[\"line-width\"].specification);dl.useIntegerZoom=!0;var vl=function(t){function e(e){t.call(this,e,hl)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Jo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=dl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new cl(t)},e.prototype.queryRadius=function(t){var e=t,r=gl(Eo(\"line-width\",this,e),Eo(\"line-gap-width\",this,e)),n=Eo(\"line-offset\",this,e);return r/2+Math.abs(n)+Lo(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Co(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*gl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Mo(t,i[a]))return!0;if(bo(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Yi);function gl(t,e){return e>0?e+2*t:t}var 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Yl=3;function Wl(t,e,r){1===t&&r.readMessage(Xl,e)}function Xl(t,e,r){if(3===t){var n=r.readMessage(Jl,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Yo({width:o+2*Yl,height:s+2*Yl},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function Jl(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var Kl=Yl;function $l(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,u=0,c=t;u<c.length;u+=1)for(var f=c[u],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},ru.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},ni(\"ImagePosition\",tu),ni(\"ImageAtlas\",ru);var nu={horizontal:1,vertical:2,horizontalOnly:3},iu=-17;var au=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};au.forText=function(t,e){var r=new au;return r.scale=t||1,r.fontStack=e,r},au.forImage=function(t){var e=new au;return e.imageName=t,e};var ou=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function su(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=ou.fromFeature(t,i);f===nu.vertical&&y.verticalizePunctuation();var m=Ci.processBidirectionalText,x=Ci.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),vu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new ou;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,vu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new ou;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,vu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=iu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*kl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,O=null,I=null,D=kl,z=!(l===nu.horizontal||!c&&!hi(L)||c&&(lu[L]||di(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*kl/f,P={width:F[0],height:F[1],left:Ql,top:-Kl,advance:z?F[1]:F[0]},C=w+(kl-F[1]*S.scale),D=P.advance;var B=z?F[0]*S.scale-kl*_:F[1]*S.scale-kl*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*kl}z?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=D*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:z,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var H=h-u;d=Math.max(H,d),yu(k,0,k.length-1,g,A)}h=0;var q=a*_+A;T.lineOffset=Math.max(A,w),p+=q,v=Math.max(q,v),++y}else p+=a,++y}var G=p-iu,Z=gu(o),Y=Z.horizontalAlign,W=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-iu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,W,d,v,a,G,i.length),t.top+=-W*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(L)&&C}ou.fromFeature=function(t,e){for(var r=new ou,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},ou.prototype.length=function(){return this.text.length},ou.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},ou.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},ou.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},ou.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&pi(n)&&!Tl[t[r+1]]||i&&pi(i)&&!Tl[t[r-1]]||!Tl[t[r]]?e+=t[r]:e+=Tl[t[r]]}return e}(this.text)},ou.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&lu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&lu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},ou.prototype.substring=function(t,e){var r=new ou;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},ou.prototype.toString=function(){return this.text},ou.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},ou.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(au.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},ou.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(au.forImage(e)),this.sectionIndex.push(this.sections.length-1)):w(\"Reached maximum number of images 6401\")}else w(\"Can't add FormattedSection with an empty image.\")},ou.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var lu={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},uu={};function cu(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*kl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function fu(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function hu(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function pu(t,e,r,n,i,a){for(var o=null,s=fu(e,r,i,a),l=0,u=n;l<u.length;l+=1){var c=u[l],f=fu(e-c.x,r,i,a)+c.badness;f<=s&&(o=c,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function du(t){return t?du(t.priorBreak).concat(t.index):[]}function vu(t,e,r,n,i,a,o){if(\"point\"!==a)return[];if(!t)return[];for(var s=[],l=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=cu(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf(\"​\")>=0,c=0,f=0;f<t.length();f++){var h=t.getSection(f),p=t.getCharCode(f);if(lu[p]||(c+=cu(p,h,n,i,e,o)),f<t.length()-1){var d=!((v=p)<11904||!(ci[\"Bopomofo Extended\"](v)||ci.Bopomofo(v)||ci[\"CJK Compatibility Forms\"](v)||ci[\"CJK Compatibility 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yu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function mu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}uu[10]=!0,uu[32]=!0,uu[38]=!0,uu[40]=!0,uu[41]=!0,uu[43]=!0,uu[45]=!0,uu[47]=!0,uu[173]=!0,uu[183]=!0,uu[8203]=!0,uu[8208]=!0,uu[8211]=!0,uu[8231]=!0;var xu=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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Oa,this.collisionVertexArray=new ca};oc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,xl.members,!0)},oc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},ni(\"CollisionBuffers\",oc);var sc=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=Do([]),this.placementViewportMatrix=Do([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=_u(this.zoom,e[\"text-size\"]),this.iconSizeData=_u(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return nu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};sc.prototype.createArrays=function(){this.text=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new ac(new so(yl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Sa,this.lineVertexArray=new Ea,this.symbolInstances=new Ma},sc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=Tl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},sc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ue&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:m.type,id:x,properties:m.properties,geometry:w?po(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=po(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ue.factory(A);ic(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ei()||this.hasRTLText&&Ci.isParsed())&&(k=wl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ce?E:ce.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:po(m),properties:m.properties,type:tc[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(nu.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=fi(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.text,B,O,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},sc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},sc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},sc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},sc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},sc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},sc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},sc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},sc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===nu.vertical?Math.PI/2:0,m=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,O=b.sectionIndex,I=d.vertexLength,D=C[1];rc(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),rc(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),rc(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),rc(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),nc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},sc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},sc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},sc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},sc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new oc(la,bl.members,ya),this.iconCollisionBox=new oc(la,bl.members,ya);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},sc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},sc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},sc.prototype.hasTextData=function(){return this.text.segments.get().length>0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},sc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},sc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},sc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||sn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new sc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=uc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new cc(a),s=new on(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new un(\"source\",s):new cn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Bi(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=uc.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ue)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&pe(t.value)===Jt){var e=t.value;a(e.sections)}else t instanceof xe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Yi),hc={paint:new Gi({\"background-color\":new ji(Dt.paint_background[\"background-color\"]),\"background-pattern\":new Hi(Dt.paint_background[\"background-pattern\"]),\"background-opacity\":new ji(Dt.paint_background[\"background-opacity\"])})},pc=function(t){function e(e){t.call(this,e,hc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi),dc={paint:new Gi({\"raster-opacity\":new ji(Dt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new ji(Dt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new ji(Dt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new ji(Dt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new ji(Dt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new ji(Dt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new ji(Dt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new ji(Dt.paint_raster[\"raster-fade-duration\"])})},vc=function(t){function e(e){t.call(this,e,dc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Yi);var gc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Yi),yc={circle:Uo,heatmap:Ko,hillshade:Qo,fill:js,\"fill-extrusion\":nl,line:vl,symbol:fc,background:pc,raster:vc};var mc=self.HTMLImageElement,xc=self.HTMLCanvasElement,bc=self.HTMLVideoElement,_c=self.ImageData,wc=self.ImageBitmap,Tc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Tc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},u=l.x,c=l.y;t instanceof mc||t instanceof xc||t instanceof bc||t instanceof _c||wc&&t instanceof wc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Tc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Tc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Tc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var kc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};kc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},kc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Ac=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new kc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function Mc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Ac.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:si(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Fc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*co,(t.y*e-this.y)*co)},Fc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Bc=function(t,e){this.wrap=t,this.canonical=e,this.key=jc(t,e.z,e.z,e.x,e.y)},Nc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Fc(r,+n,+i),this.key=jc(e,t,r,n,i)};function jc(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Nc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Nc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},Nc.prototype.wrapped=function(){return new Nc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.unwrapTo=function(t){return new Nc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Nc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Nc.prototype.toUnwrapped=function(){return new Bc(this.wrap,this.canonical)},Nc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Nc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Rc(t.x-this.wrap,t.y))},ni(\"CanonicalTileID\",Fc),ni(\"OverscaledTileID\",Nc,{omit:[\"posMatrix\"]});var Uc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Uc.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Uc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Uc.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},ni(\"DEMData\",Uc);var Vc=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};Vc.prototype.encode=function(t){return this._stringToNumber[t]},Vc.prototype.decode=function(t){return this._numberToString[t]};var Hc=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},qc={geometry:{configurable:!0}};qc.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},qc.geometry.set=function(t){this._geometry=t},Hc.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(Hc.prototype,qc);var Gc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Gc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},f(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Gc.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},Gc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Gc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Gc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),f(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Zc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Kn(co,16,0),this.grid3D=new Kn(co,16,0),this.featureIndexArray=new Ca,this.promoteId=e};function Yc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof Ni?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Wc(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function Xc(t,e){return e-t}Zc.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<co&&c[1]<co&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Mo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(So(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(Xc);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=po(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Zc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Yc(x.paint,y.paint,p,m,o),x.layout=Yc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Hc(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Zc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=wn(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Zc.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Zc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},ni(\"FeatureIndex\",Zc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var Jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};Jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},Jc.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof sc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof sc&&o.hasRTLText){this.hasRTLText=!0,Ci.isLoading()||Ci.isLoaded()||\"deferred\"!==Ei()||Li();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new wa},Jc.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},Jc.prototype.getBucket=function(t){return this.buckets[t.id]},Jc.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Tc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Tc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Jc.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},Jc.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=wn(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new Pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Hc(p,l,u,c,d);v.tile=f,t.push(v)}}}},Jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},Jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},Jc.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},Jc.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},Jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},Jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},Jc.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},Jc.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var Kc=self.performance,$c=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Kc.mark(this._marks.start)};$c.prototype.finish=function(){Kc.mark(this._marks.end);var t=Kc.getEntriesByName(this._marks.measure);return 0===t.length&&(Kc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Kc.getEntriesByName(this._marks.measure),Kc.clearMarks(this._marks.start),Kc.clearMarks(this._marks.end),Kc.clearMeasures(this._marks.measure)),t},t.Actor=Ac,t.AlphaImage=Yo,t.CanonicalTileID=Fc,t.CollisionBoxArray=wa,t.Color=oe,t.DEMData=Uc,t.DataConstantProperty=ji,t.DictionaryCoder=Vc,t.EXTENT=co,t.ErrorEvent=Ot,t.EvaluationParameters=Pi,t.Event=Pt,t.Evented=It,t.FeatureIndex=Zc,t.FillBucket=Fs,t.FillExtrusionBucket=tl,t.ImageAtlas=ru,t.ImagePosition=tu,t.LineBucket=cl,t.LngLat=Lc,t.LngLatBounds=Sc,t.MercatorCoordinate=Rc,t.ONE_EM=kl,t.OverscaledTileID=Nc,t.Point=a,t.Point$1=a,t.Properties=Gi,t.Protobuf=Sl,t.RGBAImage=Wo,t.RequestManager=q,t.RequestPerformance=$c,t.ResourceType=xt,t.SegmentVector=Oa,t.SourceFeatureState=Gc,t.StructArrayLayout1ui2=ma,t.StructArrayLayout2f1f2i16=ua,t.StructArrayLayout2i4=Qi,t.StructArrayLayout3ui6=fa,t.StructArrayLayout4i8=ta,t.SymbolBucket=sc,t.Texture=Tc,t.Tile=Jc,t.Transitionable=Di,t.Uniform1f=Ya,t.Uniform1i=Za,t.Uniform2f=Wa,t.Uniform3f=Xa,t.Uniform4f=Ja,t.UniformColor=Ka,t.UniformMatrix4f=Qa,t.UnwrappedTileID=Bc,t.ValidationError=zt,t.WritingMode=nu,t.ZoomHistory=ui,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=nc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++yt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=l,t.emitValidationErrors=Jn,t.endsWith=y,t.enforceCacheSizeLimit=function(t){ht(),tt&&tt.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=wu,t.evaluateSizeForZoom=Tu,t.evaluateVariableOffset=Yu,t.evented=Si,t.extend=f,t.featureFilter=wn,t.filterObject=x,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=gu,t.getAnchorJustification=Wu,t.getArrayBuffer=kt,t.getImage=Et,t.getJSON=function(t,e){return Tt(f(t,{type:\"json\"}),e)},t.getRTLTextPluginStatus=Ei,t.getReferrer=_t,t.getVideo=function(t,e){var r,n,i=self.document.createElement(\"video\");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var 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c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new j(s,J,K,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?Z(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof 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t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient 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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 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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 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s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var u=i-r,c=a-n,f=Math.max(u,c),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var D=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:D,image:I,canvas:z};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return 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e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Pt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Pt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new H(this,t,e,r)},Pt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Pt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Pt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Pt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(It).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Dt(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new zt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var Ht={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(t,e,r)}function Yt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D<z.length;D+=1){var R=z[D];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);z=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},ve.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],u=n[a];u.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&He(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_r(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),Je=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=_r(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Xr||Xr.length<2*h)&&(Xr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var z=l.createIndexBuffer(Xr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var nn=t.identity(new Float32Array(16));function an(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function on(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=an(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function sn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function ln(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(sn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?nn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?$r(O.kind,z,x,y,e,X,J,K,R,F):Kr(O.kind,z,x,y,e,X,J,K,a,R,!0):Jr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,un(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}un(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function cn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(v));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Sr(k,t,A,h,v,f,g):Mr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function hn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=Nr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function pn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,jr(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function dn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);on(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&ln(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&ln(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(rn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),rn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Or(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Fr(c.posMatrix,f,v,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Br(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?Hr(e,w,n,p):u?qr(e,w,n,u,p):h?Vr(e,w,n):Ur(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),y=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);cn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);cn(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Lt.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?pn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&hn(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=dn(m,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?tn(b,i,t,u,{tileID:x,tileSize:l},g):Qr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)kn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Mn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Mn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Mn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,We.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,We.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,O.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,We.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Mn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Mn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Mn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Mn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Mn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Mn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Mn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,c[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&An.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Mn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),An[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Mn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Mn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Mn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Mn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Mn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Mn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Mn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new En(n,i)},En.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},En.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},En.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<u.x?u.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(Cn.prototype,Pn);var On=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};On.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},On.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},On.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},On.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},On.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function jn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Bn.prototype.clear=function(){this._inertiaBuffer=[]},Bn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Bn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=jn(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Nn(s,l)}if(r.zoom){var u=jn(r.zoom,o,zn);s.zoom=this._map.transform.zoom+u.amount,Nn(s,u)}if(r.bearing){var c=jn(r.bearing,o,Rn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Nn(s,c)}if(r.pitch){var f=jn(r.pitch,o,Fn);s.pitch=this._map.transform.pitch+f.amount,Nn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Vn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),qn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};qn.prototype.reset=function(){delete this._mousedownPos},qn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},qn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseup=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Zn.prototype.isEnabled=function(){return!!this._enabled},Zn.prototype.isActive=function(){return!!this._active},Zn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Zn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Zn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Zn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Zn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Zn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Zn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Zn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Wn=function(t){this.reset(),this.numTouches=t.numTouches};Wn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Wn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Wn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Kn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Kn.prototype.enable=function(){this._enabled=!0},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};var $n=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Kn),Qn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Kn),ei=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ei.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ei.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ei.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},ei.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ei.prototype.touchcancel=function(){this.reset()},ei.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},ei.prototype.enable=function(){this._enabled=!0},ei.prototype.disable=function(){this._enabled=!1,this.reset()},ei.prototype.isEnabled=function(){return this._enabled},ei.prototype.isActive=function(){return this._active};var ri=function(){this.reset()};function ni(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ri.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ri.prototype._start=function(t){},ri.prototype._move=function(t,e,r){return{}},ri.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ri.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ni(r,e,i),s=ni(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ri.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ni(n,e,a),l=ni(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ri.prototype.touchcancel=function(){this.reset()},ri.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ri.prototype.disable=function(){this._enabled=!1,this.reset()},ri.prototype.isEnabled=function(){return this._enabled},ri.prototype.isActive=function(){return this._active};function ii(t,e){return Math.log(t/e)/Math.LN2}var ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(ii(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ii(this._distance,r),pinchAround:e}},e}(ri);function oi(t,e){return 180*t.angleWith(e)/Math.PI}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:oi(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=oi(t,this._startVector);return Math.abs(r)<e},e}(ri);function li(t){return Math.abs(t.y)>Math.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};ki.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},ki.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new qn(e,t));var n=e.boxZoom=new Zn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new gi;e.doubleClickZoom=new vi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new yi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ui;this._add(\"touchPitch\",s);var l=new Qn(t),u=new ti(t);e.dragRotate=new xi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new $n(t),f=new ei(t);e.dragPan=new mi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new si,p=new ai;e.touchZoomRotate=new bi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new di(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new fi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Gn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},ki.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},ki.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},ki.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},ki.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},ki.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},ki.prototype.isMoving=function(){return Boolean(_i(this._eventsInProgress))||this.isZooming()},ki.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},ki.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},ki.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},ki.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ti(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ti(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},ki.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},ki.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,u)}this._updateMapTransform(e,r,n),this._changes=[]},ki.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ti(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},ki.prototype._fireEvents=function(e,r){var n=this,i=_i(this._eventsInProgress),a=_i(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=_i(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},ki.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},ki.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new wi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var Ai=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),zoom:m,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),u=\"zoom\"in e?+e.zoom:a,c=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},Mi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Ei.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Ei.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Li={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Ci=t.window.HTMLImageElement,Pi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Ii=60,Di={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ii,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},zi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Di,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Pi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ii:t)>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new Ye(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Ci||Oi&&r instanceof Oi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Ci||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Ci||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Mn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ri(this._canvasContainer),Ri(this._controlContainer),Ri(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Ai);function Ri(t){t.parentNode&&t.parentNode.removeChild(t)}var Fi={showCompass:!0,showZoom:!0,visualizePitch:!1},Bi=function(e){var n=this;this.options=t.extend({},Fi,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Bi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Bi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Bi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ni(this._map,this._compass,this.options.visualizePitch)),this._container},Bi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Bi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Bi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ni=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Qn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ti({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function ji(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ni.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Ui={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Vi(t,e,r){var n=t.classList;for(var i in Ui)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Hi,qi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Vi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Ui[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Gi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Zi=0,Yi=!1,Wi=function(e){function n(r){e.call(this),this.options=t.extend({},Gi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Hi?n(Hi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Hi=\"denied\"!==t.state,n(Hi)})):(Hi=!!t.window.navigator.geolocation,n(Hi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Zi=0,Yi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Zi--,Yi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Ji.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ji.prototype.setUnit=function(t){this.options.unit=t,Ki(this._map,this._container,this.options)};var Qi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Qi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var 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)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(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=ji(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=ra(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,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(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 ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,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. 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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},87263:function(t,e,r){var n=r(26859);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 i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},55968:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return 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]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(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=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,u=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){u=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(u)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new 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 e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=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\\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 D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+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(56131);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}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);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 dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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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}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,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=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},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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n=this.newDate(t,e,r);return 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,u.local.invalidMonth||u.regionalOptions[\"\"].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 n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var 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},94338:function(t,e,r){var n=r(56131),i=r(63489);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": {},
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   ],
   "source": [
    "# requires uniform grid\n",
    "COGITOTB.get_bonds_figure(energy_cutoff=0.1)"
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  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "9b970fa6-3209-4179-bd87-9d406d6a7c87",
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   "outputs": [],
   "source": []
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