{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Draw\n",
    "\n",
    "There are two usual methods for light waves polarization representation: polarization ellipse and Poincaré sphere."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from py_pol.jones_vector import Jones_vector, degrees\n",
    "from py_pol.stokes import Stokes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Polarization ellipse\n",
    "\n",
    "### Pure states\n",
    "\n",
    "The trajectory of the electric field vector of pure (totally polarized) light waves is an ellipse. This ellipse is often used to represent polarization states, as it allows identifying easily some of its properties. *py_pol* has a method in *Jones_vector* and *Stokes* classes to plot the polarization ellipses: *draw_ellipse*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Circular light = \n",
      "[+1.000 + +0.000j]   \n",
      "[+0.000 + +1.000j]   \n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "J = Jones_vector('Circular light')\n",
    "J.circular_light(intensity=2, kind='r')\n",
    "print(J)\n",
    "axis, fig = J.draw_ellipse(draw_arrow=True, figsize=(5,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Same for Stokes objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Circular light = \n",
      "[+2.000]   \n",
      "[+0.000]   \n",
      "[+0.000]   \n",
      "[+2.000]   \n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "S = Stokes('Circular light')\n",
    "S.circular_light(intensity=2, kind='r')\n",
    "print(S)\n",
    "axis, fig = S.draw_ellipse(draw_arrow=True, figsize=(5,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot multiple ellipses in a single plot\n",
    "\n",
    "*py_pol* objects may have more than one element stored inside. The most basic method of representation consists on plotting all the ellipses in the same figure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 432x432 with 1 Axes>,\n",
       " [<AxesSubplot:title={'center':'Elliptical light'}, xlabel='$E_x$', ylabel='$E_y$'>])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# It is the same for Stokes class\n",
    "S = Stokes('Elliptical light')\n",
    "angles = np.linspace(0, 180*degrees, 7)\n",
    "S.general_azimuth_ellipticity(amplitude=2, azimuth=angles, ellipticity=15*degrees)\n",
    "S.draw_ellipse(draw_arrow=True, figsize=(6, 6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot several ellipses in multiple plots\n",
    "\n",
    "It is possible to divide the plots into several ones using the *subplots* argument. The first option is INDIVIDUAL, which represents each ellipse in its own subplot. These subplots are represented in a square grid (or the closest to a square grid, depending on the number of elements of the object):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x864 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "J = Jones_vector('Linear light')\n",
    "angles = np.linspace(0, 180*degrees, 5)\n",
    "J.linear_light(amplitude=2, azimuth=angles)\n",
    "_ = J.draw_ellipse(draw_arrow=True, subplots='Individual', figsize=(6, 12))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The second option is AS_SHAPE, which uses the shape of the object. 1D objects will be plotted as a row array of plots with one ellipse in each subplot. 2D arrays will be plotted as a matrix array with the same shape as the object. Objects of higher dimensionality will be plotted as a matrix array with the shape of the two first dimensions, plotting more than one ellipse per subplot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1D object\n",
    "J = Jones_vector('Linear light')\n",
    "angles = np.linspace(0, 180*degrees, 5)\n",
    "J.linear_light(amplitude=2, azimuth=angles)\n",
    "_ = J.draw_ellipse(draw_arrow=True, subplots='As_shape', figsize=(15, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Kti0VImtGSo++rscfAq8D/i3G+OIe7isVm76oxxuAF8iO4jkCeCswch+2JxWyXNfkz4DFwA96+HjtxAZP8agHRu1mXb8d7pO2bUuFyJqR0qPP6jGE8J/AJ4Bfxhi/3RvblApMzusxxriC7Fm0AG4IIfwFeCyE0N+6lHaRs5oMIVwEvAk4KcbY0pNtaFceolU8VpEdQlfZybrxZIfe9bTzmsttS4XImpHSo0/qMYTwdeDLwO+Aj+zr9qQC1ee/H2OMzwBPAR/rze1KBSInNdm+vR+QnftqTQhh/xDC/sDk9rsMbr9tSA9zFy0bPMXjMbKf9zE73tg+0dzhwOMp3bZUiKwZKT1yXo8hhK8BXwP+AHwwxhj3dZtSgUrq92N/YFiOti3ls1zVZH+yh0a+GXh5h8vc9vUXtV//YA+3X7Rs8BSPq4EIfHqn2z9E9rjJK1K6bakQWTNSeuS0HkMIXwW+DvwReH+MMbMv25MKXM7qMYQwZje3nwrMAh7u6balAparmtwGnN/JZftIutvar9/Yw+0XLefgKRIxxmdDCD8BPhFCuJ7scLiDgE8C97LTmTxCCJeQHUb+HzHGr/fmtqVil8t6bL//xbw6xHUkUBFC+HL79aUxxj/2xuuQCkEu6zGE8HGyZwdZBtwFXBhC2PEua2OMd/bOK5HyX45/P/4shDAWuAdYSnb+kNnAu4GtwOd675VIhSFXNdk+5851O98eQpjSvvhKjHGX9dozGzzF5dPAEuAyssPhNgA/Ar7ayV8UB7b/XJmDbUvKbT1eCpy8023/2f7zXrIjCSS96tPkph6Pbv85Cfh9J+vvBWzwSK/1aXJTj1cC7wMuJvvHj0i20fML4LsxxmX7GlwqUJ8md/us6mU2eArT0BBCHbAlxti6/cYYYxvw/fbLnpwKLAQu784T7s22QwiDgAqgs8m6pEKTRD2e0t1w1qOKTJ/WY4zxEuCS7oazHlVk+roerwGu6W4461FFqM/3WXcWY1wChM7WWZPdY4OnMD3Z/vNE4P69fXAIoQw4Dbg0R6esuwY4IwfbldLIepTSw3qU0sN6lNLFmiwAwRM5FI4QwjRg2g43PRZjrEkqz+6EEA4HRmy/HmO8K7k0Um5Yj1J6WI9SeliPUrpYk4XFBo8kSZIkSVKe8zTpkiRJkiRJea6g5uAZMWJEnDJlSo8eu23bNgYMGNC7gfaBebpWSHmeeOKJDTHGkb0cKXHWY+6Yp2vWY+d6WpOF9PnmQtryQPoy9TSP9birtH22kL5M5uma9bgr91lzxzxdy8k+a4yxYC6zZ8+OPTVnzpwePzYXzNO1QsoDPB5TUD+9fbEec8c8XbMee7cmC+nzzYW05YkxfZl6msd63FXaPtsY05fJPF2zHnuvHmMsnM83V8zTtVzss3qIliRJkiRJUp6zwSNJkiRJkpTnbPBIkiRJkiTlORs8kiRJkiRJec4GjyRJkiRJUp6zwSNJkiRJkpTnbPBIkiRJkiTlORs8kiRJkiRJec4GjyRJkiRJUp5LdYMnhDAxhDAnhLAghPB8COFTSWeSipX1KKWH9Silh/UopYs1qWJWlnSAPWgFPhdjfDKEMBB4IoRwZ4xxftLBpCJkPUrpYT1K6WE9SuliTapopXoET4xxdYzxyfblrcACYHyyqaTiZD1K6WE9SulhPUrpYk2qmKV9BE+HEMIU4AjgkYSjSEXPepTSw3qU0sN6lNLFmkzOTz5yDwCnnJJsjmITYoxJZ9ijEEI1cC/wzRjj9Tutuwy4DGD06NGzr7rqqh49R11dHdXV1fsatdeYp2uFlOfUU099IsZ4VC9HyhnrMXnm6Zr1+Jr1+1yThfT55kLa8kD6MvU0j/W4q7R9tpC+TObpWrHUI7jPmrTnr8oAMPPd6TloKE3vD+RonzXGmOoLUA7cDnx2T/edPXt27Kk5c+b0+LG5YJ6uFVIe4PGYglrrzsV6TAfzdM167N2aLKTPNxfSlifG9GXqaR7rcVdp+2xjTF8m83StGOox7mVNus+aGz/+8N3xxx++O+kYr5Gm9yfG3Oyzpqed1okQQgB+AyyIMf4g6TxSMbMepfSwHqX0sB6ldLEmVcxS3eABjgcuBk4LIcxrv5yddCipSFmPUnpYj1J6WI9FqHX9ejJNTUnHUOesSRWtVE+yHGO8HwhJ55BkPUppYj1K6WE9FqeXTzwJgMFvfzvj/vvbCafRjqxJFbO0j+CRJEmSpNRoq9vWsVy5/34JJpGk17LBI0mSJEndtOrzn+9YHnbppQkmkaTXssEjSZIkSd1UN3cuAP0OPpjsfL6SlA42eCRJkiSpG2puvLFjeeIvf5FgEknalQ0eSZIkSeqGVV/4147lshEjEkwiSbuywSNJkiRJe9CyenXH8vj/+38JJpGkztngkSRJkqQ9WPaBVydUHvSmNyWYRJI6Z4NHkiRJkroQMxmaFy8GYNDZZyWcRpI6Z4NHkiRJkrqw4Sc/7Vge+81vJphEknbPBo8kSZIkdWHDT37SsVzSv3+CSSRp92zwSJIkSdJuNDz3fMfylGuuTjCJJHXNBo8kSZIk7caSd72rY7n/oYcmmESSumaDR5IkSZI6kWlshEwGgOEf+XDCaSSpazZ4JEmSJKkTq7/8lY7lkZ/8ZIJJJGnPbPBIkiQVuZa2Fs6/6Xya25qTjiKlSu3NNwNQPnkSocSvTpLSzf+lJEmSilhLWwtH/ulIXtj0ArP/NDvpOFJqbL377o7lyb/9bYJJJKl7bPBIkiQVqe3Nne0+deSnEkwjpcuKj3+iY7l8/PgEk0hS99jgkSRJKkKdNXc+eMgHE0wkpUfrxo0dy2O/9a0Ek0hS99ngkSRJKjI2d6SuLf/IRzuWh5x3boJJJKn7bPBIkiQVEZs7UtdijDQ++ywAA044IeE0ktR9NngkSZKKhM0dac82Xf77juXxP/zfBJNI0t6xwSNJklQEbO5I3bPuO9/pWC6trk4wiSTtHRs8kiRJBc7mjtQ9TQsXdixP+v3vu7inJKWPDR5JkqQCZnNH6r4l77moY3nAscckmESS9p4NHkmSpAJlc0fqvtjSQqamBoChF120h3tLUvrY4JEkSSpANnekvbPmW9/qWB79xX9NMIkk9YwNHkmSpAJjc0fae1uuvAqA0qFDCWVlCaeRpL2X6gZPCOG3IYR1IYTnks4iFTvrUUoP61FdaY2tNnf6mDWZ/7Y99FDH8uQrrkgwifaV9ahiluoGD3A5cGbSISQB1qOUJpdjPaoTLW0tfGbZZzqu29zpM5djTea1Ze//QMdy5bSpCSZRL7gc61FFKtUNnhjjP4BNSeeQZD1KaWI9qjMelpUcazK/tdXWdiyP/rcvJZhEvcF6VDFLdYNHkiRJe2ZzR+q5lZ9+ddTb0IsvTjCJJO2bEGNMOkOXQghTgJtjjLN2s/4y4DKA0aNHz77qqqt69Dx1dXVUV1f3NGavM0/XCinPqaee+kSM8ahejpQT1mM6mKdr1uNr7rPPNVlIn28upCFPa2x9zWFZZ1SdwVtGviXBRK/V0/con+oR+uZ3ZBr+ve0sbZl6kmf0Rz4KQPO0aWz+wr8knieXrMeO9e6z5tjzV2UAmPnu9IwpSdP7AznaZ40xpvoCTAGe6859Z8+eHXtqzpw5PX5sLpina4WUB3g8pqDWunOxHtPBPF2zHnu3Jgvp882FpPM0tzbHWZfP6rj86plfJZ5pZz3Nk0/1GPvod2TaPtsY05dpb/NsvvbaOH/6jDh/+ozYsmlT4nlyzXrsvXqMsXA+31z48Yfvjj/+8N1Jx3iNNL0/MeZmnzU97TRJkiR1m4dlSftu9Ze/0rFcNnRogkkkad+lusETQrgSeAiYHkJYEUK4NOlMUrGyHqX0sB5lcyddrMn81LxiRcfyhJ/+NMEk6k3Wo4pZWdIBuhJjvCDpDJKyrEcpPazH4mZzJ32syfy07L3v61geeNqpCSZRb7IeVcxSPYJHkiRJr7K5I/WO2NZGy6pVAAx+29sSTiNJvcMGjyQpf7U0Jp1A6jM2d6Tes/6HP+xYHvOf30guiCT1Ihs8kqT80tYCN38Wvj4Yvjk66TRSn7C5I/Wujb/6NQChvJySioqE00hS70j1HDySJHVY/xL89gxo2LTT7S/CyOnJZJL6gM0dqXc1zJvXsTzlmquTCyJJvcwGjyQpvWKEh38Gt39p13VVI+D9f4eRB/Z9LqmP2NyRet+Sd786B2+/gw5KMIkk9S4bPJKk9KlbD39+F6x6ctd1R38IzvxvKPVXmAqbzR2p92Xq6zuWR37qkwkmkaTe596xJCk9XrgFrrqw83XvvRGmndy3eaSE2NyRcmPVF18dETr8Ix9JMIkk9T4bPJKkZLU0wN8+Ac9dt+u6/d4A518O/Qb1eSwpKTZ3pNzZescdAFTsvx8hhITTSFLvssEjSUrGqnnwq9Mgtu267m0/gSMu6vNIUtJs7ki5U3vbbR3Lk3796wSTSFJu2OCRJPWdTAbu/Q7c+9+7rhs6Fd53EwyZ2Pe5pBSwuSPl1spPf6ZjuXzMmASTSFJu2OCRJOVezQr4w9th48u7rjvx83Dqv0NJSZ/HktLC5o6UWy3r1nUsj/vu/ySYRJJyxwaPJCl3nr4K/vrhztd98B6YMLtv80gpZHNHyr3ll736u2jwOeckmESScscGjySpdzVthesuhZdv33XdzPOy8+tUVPV9LimFbO5IuRdjpOmFFwCoPu20hNNIUu7Y4JEk9Y4lD8DlZ3e+7l1/gIPf1rd5pJSzuSP1jY2/enVC5fEeniWpgNngkST1XFsr+y38DcztpHkz9nB4z7VQParPY0lpZ3NH6jvrf/CDjuWSAQMSTCJJuWWDR5K09za+Ar87G+rWsMs5r974DTjukxBCEsmk1LO5I/Wdxhdf7FiefMWfEkwiSblng0eS1H2P/gpu/fyut1dUw6V3wuiD+z6TlEds7kh9a8kFF3YsV812Yn9Jhc0GjySpa/Wb4Kr3wLIHd1135Pu4t/ocTj7tjX2fS8ozNnekvhWbm4n19QAMe//7E04jSblng0eS1LmX74Qr3tn5uov+AvufDkCcO7fvMkl5yuaO1PdWf+MbHcujPv+5BJNIUt+wwSNJelVrE9z8WZjXyTwFU06Ef/oj9B/a97mkPGZzR0pGzXV/AaBs1ChCaWnCaSQp92zwSJJgzXPw69OhtWHXdW/5XzjqA32fSSoANnekZNTdd1/H8uQ//iHBJJLUd2zwSFKxihHu+z7c85+7rhs0Hi65GYZN6/tcUoGwuSMlZ/mHLutYrpg8OcEkktR3bPBIUrGpXQ1/egese37Xdcd9Ek7/OpQ4lF3aFzZ3pOS0bdnSsTzm619LLogk9TEbPJJULJ77C1y3m0OtPnA7THpd3+aRCpTNHSlZK/75kx3LQ9/97gSTSFLfssEjSYWseRtcfxm8cPOu62a8Bc79BVRW930uqUDZ3JGSV//YYwBUHX10wkkkqW/Z4JGkQrT8UfjNGztf947fwCG7Of25pB6zuSMlr/+993YsT/jR/yWYRJL6XklPHxhC+F0IYVxvhpHUM9ajAMi0wZ1fg68P3rW5M2omfPYF+HqNzZ0csx6Lk82ddLIei8+gK6/qWC4dMiS5INqF9Sjl3r6M4LkO+FsI4S7g2zHG2l7KJGnvWY/FbPMSuPwcqFm267rTvgInfg5C6PNYRcx6LDI2d1LNeiwizUuXdixP/NUvE0yi3bAepRzr8QieGOMtwLHAIuD+EMI/hxB69ZCvEMKZIYQXQwgLQwhf7M1tS4WkL+oRrMnUeeLy7Gid/3fYa5s7pZXw4fuyo3VO+rzNnT5mPRaX1thqcyfFrMfisvS97+tYrj7xxASTqDPWo5R7PW7wAMQYM8DdwA+BrwELQgjn9kIuQgilwE+As4CDgQtCCAf3xralQpTLegRrMjUaNnPYvC9nGzs3feq16w67EL68Dr6yDsYemkw+AdZjsWhpa+Ezyz7Tcd3mTjpZj8UhtrXRunYtAIPf+Y6E02h3rEcpt3rcMW0fWjeDbAf2UeBjwIvAJ0IIJ8cYP72P2Y4BFsYYF7U/31XA24D5+7jdXUz54i3Zhdtu6e1N7xvzdC1leZacktxz90E9Qh/WpDrxyj3wx+z+z9Cd1114DRx4Rp9HUuesx+LgYVn5wXosHuu+9/2O5bFf/WqCSbQ71qOUe3ts8IQQbgIuiDHW7bTq88CzMca2nW7/UAjhhV7INh5YvsP1FWSH9O2c7zLgMoDRo0czd+7cXnhqae/1xb+9BOsRulGTvVWPdXV1qarlpPKETCsHvPxLxq2+fZd1NYMO4rlZ/0ZLxSBYBazq+3zbFevnlfZ6bM+4zzVZrJ9vV1pj62tG7pwz5Bz237h/4rm2S8N7tKO+yGM9JictmUb/7ncAZCoquPfBBxNO86q0vD/bWY8dGd1n7SNpypO29ycneWKMXV6ANmDUDtevBobvcL0EGLTTY6btabvdeN7zgV/vcP1i4EddPWb27Nmxp+bMmdPjx+aCebpWSHmAx2P36yKReow9qEnrcR+sXRDjtybG+LVBu14e/kWcc889fZtnDwrp8yrUeoz7UJOF9Pn2hubW5jjr8lkdly/d8KVE83Qm6fdoZz3NYz3uKm2fbYzpyLTtiSfi/Okz4vzpM+J9f/pT0nFeIw3vz46sR/dZ+8qPP3x3/PGH7046xmuk6f2JMTf7rN05RGvn2TnPBgYDG9uvjwRWssNooNg+JG4frQAm7nB9Atm/U0vFLKl6BGsyt2KEB38Ed35l13XVo+H9f4fh+2Wvp+gvD0XOeiwynR2Wtf/G/RNMpB1Yj0Vs6YXv6VhuHT8+wSRqZz1KCemtWcv3abLm3XgMOCCEMJXsfwDvBi7MwfNIhSYX9QjWZG7UrYMrzofV83Zdd+xH4U3/BaW9foIJ9R3rsUDsbs6dNA311h5ZjwWorW5bx/LIz36WtQlm0V6xHqUc6K1vDbGXtvPqBmNsDSF8ArgdKAV+G2N8vrefRypAvV6PYE32ugU3wdUXdb7ukltgygl9m0e5Yj0WACdULhjWYwFa9S//0rE8/EMfhHvvTTCN9oL1KOVAdxs87w8h3AvMa7+ek4LcWYzxVuDWvnguKY8kUo9gTe6zlgb42yfguet2XXfAGfCOX0O/QX2fS/vCeixwNnfyivVYhOrmzAGg8qCDCGHnI4OUIOtRSkB3GjxzgX8Fvg20tj/mOyGEB4AngXU5SydpZ3OxHvPPyifhV6fR6b7N238Oh1/Q55HUK+ZiPRY0mzt5ZS7WY9GpuemmjuVJv/xFgkm0k7lYj1Ii9tjgiTGeBhBCmAbM3uHyFWDY9rvlKqCkV1mPeSSTgbnfhn/8z67rhk2D994IQybuuk55w3osbDZ38ov1WJxW/csXOpbLRo5MMIl2ZD1Kyen2HDztM5svAq7dflsIYQpwFHDkbh4mKQesxxTbshz+8DbY9Mqu6076ApzyJSjJ1byCSoL1WHhs7uQv67F4tKxZ07E8/of/m2AS7Y71KPW9fZpkOca4BFgCdDKhhKS+ZD0mbN6f4YaPdr7uQ/fA+Nl9m0eJsh7zl82dwmM9FqZll75al4POPDPBJNob1qOUW557V5J6qrEWrvsALLxz13Wz3glv+zGU9+/7XJJ6xOaOlB9ijDS/kh0pO/CMMxJOI0npYYNHkvbW4vvg92/pfN0//QkOOqdv80jaZzZ3pPyx4ac/7Vge99/fTjCJJKWLDR5J6o62Vrj93+DRTs7SMe5IuPAaqHaCRykf2dyR8suGH/24Y7mkvyNlJWk7GzyS1JUNL3PcA++FuTW7rnvTN+H1H4cQ+j6XpF5hc0fKL43z53csT7n6qgSTSFL62OCRpJ3FCI/8Am77VwAqdlzXbzB84A4YNSORaJJ6j80dKf8s/qd3dyz3P+ywBJNIUvrY4JGk7eo3wZUXwPKHd1131KVw1negtLzvc0nqdTZ3pPyTaWqClhYAhn/IepWkndngkaSXboc/v6vzdRffwNzlgVNOOaVPI0nKHZs7Un5a/ZWvdCyP/PSnkwsiSSllg0dScWptgps+BU9fueu6aafC+ZdD/yHZ68vn9l0uSTllc0fKX7U33gRA+fjxhNLShNNIUvrY4JFUXFY/A78+Hdqadl331h/Bke/t+0yS+oTNHSl/bb3nno7lSb//fYJJJCm9bPBIKnwxwj++C3O+ueu6wRPhkpth6JQ+jyWp79jckfLbio99vGO5YsL4BJNIUnrZ4JFUuGpXwR/Pg/ULdl13/KfhDV+FEod4S4XO5o6U31o3bepYHvtf/5lgEklKNxs8kgrPs9fBXy7tfN2ld8LEY/o2j6TE2NyR8t+Oo3eGvPOdCSaRpHSzwSOpMDTVwV8/DC/cvOu6g94K5/4cKgb0fS5JibG5I+W/GCMN8+YBMOC445INI0kpZ4NHUn5b9jD89ozO173zdzDrvL7NIykVbO5IhWHzH//YsTz+//0wuSCSlAds8EjKP5k2uPOr8NCPd1036mC46HoYNLbvc0lKBZs7UuFY+61vdyyXDhyYYBJJSj8bPJLyx6ZF8Ls3w9ZVu6477Stw4ucghL7PJSk1bO5IhaNp0eKO5UmX/y7BJJKUH2zwSEq/ja/Aj47c9fbyAXDpHTBmVt9nkpQ6NnekwrL0oos6lge87nUJJpGk/GCDR1L6/eLk114//CJ4yw+grDKZPJJSx+aOVFhiaytt7adHH3rhhQmnkaT8YINHUvp95D646j3wxv+AA96YdBpJKWNzRyo8a7/93x3Lo7/0xQSTSFL+sMEjKf2GTYWPPZh0CkkpZHNHKkybr7gCgNLBgwnl5QmnkaT8UJJ0AEmSpJ6wuSMVpm0PP9yxPPnKPyeYRJLyiw0eSZKUd2zuSIVr2SXv71iunDYtwSSSlF9s8EiSpLxic0cqXG1bt3YsO/eOJO2d1DZ4QgjnhxCeDyFkQghHJZ1HKmbWo5QexV6PrbHV5o5So9jrMRdWfuazHctD3/veBJMoH1mTKnapbfAAzwHnAf9IOogk61FKkaKtx5a2Fj6z7DMd123uKAWKth5zZdv99wPQ75BDCCEknEZ5yJpUUUvtWbRijAsA/2OXUsB6lNKjWOvRw7KURsVaj7my5S/XdyxP/PnPEkyifGVNqtiFGGPSGboUQpgLfD7G+Phu1l8GXAYwevTo2VdddVWPnqeuro7q6uqexux15ulaIeU59dRTn4gx5sUQUusxHczTNevxNffZ55pMw+fbGltfM3LnnCHn8KbBb0ow0avS8P7sLG2ZeprHetxV2j5b6N1Moz/y0Y7ltT1s8KTtPSqUPPlUj+A+axo8f1UGgJnvTs9BQ2l6fyBH+6wxxsQuwF1kh9HtfHnbDveZCxzVne3Nnj079tScOXN6/NhcME/XCikP8HhMsA63X6zH3TNP1wopT6HWY9yHmkz6821ubY6zLp/VcfnSDV9KNM/Okn5/OpO2TD3NYz3uKm2fbYy9l6l5xYo4f/qMOH/6jFh7992J5+kthZInLfUYc1CT7rPmxo8/fHf88Yd7Xsu5kKb3J8bc7LMmeohWjPH0JJ9f0qusRyk9rMeszg7L2n/j/gkmUjGyHvvG0vd/oGN54GmnJZhEaWdNSruXnvFSkiRJ7ZxzRyoeMZOhZdkyAAadc07CaSQpf6W2wRNCODeEsAJ4PXBLCOH2pDNJxcp6lNKjGOrR5o7yRTHUY19Y/3//17E89r/+M8EkynfWpIpdms+i9Vfgr0nnkGQ9SmlS6PVoc0f5pNDrsa9s/PkvsgshUFJZmWwY5TVrUsUutSN4JElScbG5IxWfhmee6Viecs01CSaRpPxng0eSJCXO5o5UnJa86586lvsfMivBJJKU/2zwSJKkRNnckYpTpqGhY3nExz6WYBJJKgw2eCRJUmJs7kjFa9W//VvH8ohPfDzBJJJUGGzwSJKkRNjckYrb1r/fBkDF1KmEEr+WSNK+8n9SSZLU52zuSMWt9vY7OpYn/fY3CSaRpMJhg0eSJPUpmzuSVn7qUx3L5WPHJphEkgqHDR5JktRnbO5Ial2/vmN53P98J8EkklRYbPBIkqQ+c8o1p3Qs29yRitPyD3+kY3nwW9+aYBJJKiw2eCRJUp85clR29I7NHak4xRhpnD8fgAEnn5RwGkkqLGVJB5AkScXjR2/4UdIRJCVo029enVB5/Pd/kGASSSo8juCRJEmS1CfWfe/7Hcul1QMSTCJJhccGjyRJkqSca3zppY7lyX/6Y4JJJKkw2eCRJEmSlHNLL7iwY7nqqKMSTCJJhckGjyRJkqScis3NZLZtA2Doey9OOI0kFSYbPJIkSZJyas1/fbNjefQXvpBgEkkqXDZ4JEmSJOXUlmuuAaB05AhCmSfylaRcsMEjSZIkKWfq7n+gY3nyH/6QYBJJKmw2eCRJkiTlzPIPfrBjuXLq1ASTSFJhs8EjSZIkKSfaamo6lkd/+csJJpGkwmeDR5IkSVJOrPjkpzqWh77nwi7uKUnaVzZ4JEmSJOVE/SOPANB/9mxCCAmnkaTCZoNHkiRJUq/bfNXVHcsTfvyjBJNIUnGwwSNJkiSp1635+tc7lsuGDk0uiCQVCRs8kiRJknJm4i9+nnQESSoKZUkHkCRJklR4Br3lLWQaG6g++eSko0hSUbDBI0mSJKnXjf/ed5OOIElFJbWHaIUQvhtCeCGE8EwI4a8hhCFJZ5KKlfUopYf1KKWH9SilizWpYpfaBg9wJzArxngo8BLwpYTzSMXMepTSw3qU0sN6lNLFmlRRS22DJ8Z4R4yxtf3qw8CEJPNIxcx6lNLDepTSw3qU0sWaVLELMcakM+xRCOEm4OoY4586WXcZcBnA6NGjZ1911VU9eo66ujqqq6v3KWdvMk/XCinPqaee+kSM8ahejpQz1mPyzNM16/E16/e5Jgvp882FtOWB9GXqaR7rcVdp+2whfZnM07ViqUdwnzVpz1+VAWDmu9MzpiRN7w/kaJ81xpjYBbgLeK6Ty9t2uM+/A3+lvRnV1WX27Nmxp+bMmdPjx+aCebpWSHmAx2OCdbj9Yj3unnm6Vkh5CrUe4z7UZCF9vrmQtjwxpi9TT/NYj7tK22cbY/oymadr+V6PMQc16T5r7pina7nYZ030LFoxxtO7Wh9CeB/wFuAN7S9CUo5Yj1J6WI9SeliPUrpYk9LupfY06SGEM4F/BU6OMdYnnUcqZtajlB7Wo5Qe1qOULtakil16Dojb1Y+BgcCdIYR5IYSfJx1IKmLWo5Qe1qOUHtajlC7WpIpaakfwxBj3TzqDpCzrUUoP61FKD+tRShdrUsUuzSN4JEmSJEmS1A02eCRJkiRJkvKcDR5JkiRJkqQ8Z4NHkiRJkiQpz9ngkSRJkiRJynM2eCRJkiRJkvKcDR5JkiRJkqQ8Z4NHkiRJkiQpz9ngkSRJkiRJynMhxph0hl4TQlgPLO3hw0cAG3oxzr4yT9cKKc/kGOPI3gyTBtZjTpmna9ZjJ/ahJgvp882FtOWB9GXqaR7rcVdp+2whfZnM0zXrcSfus+aUebrW6/usBdXg2RchhMdjjEclnWM783TNPIUtbe+nebpmnsKWtvfTPHuWtkxpy5PP0vhepi2TebqWtjz5Lm3vp3m6Vgx5PERLkiRJkiQpz9ngkSRJkiRJynM2eF71y6QD7MQ8XTNPYUvb+2merpmnsKXt/TTPnqUtU9ry5LM0vpdpy2SerqUtT75L2/tpnq4VfB7n4JEkSZIkScpzjuCRJEmSJEnKczZ42oUQvhtCeCGE8EwI4a8hhCEpyHR+COH5EEImhJDIbN8hhDNDCC+GEBaGEL6YRIad8vw2hLAuhPBc0lkAQggTQwhzQggL2j+rTyWdqVCkrSbTUI/tOVJTk9Zj8bAed5vDetwN6zF3rMfd5khNPbbnSU1NWo+5k7Z6bM+UeE1aj13LZU3a4HnVncCsGOOhwEvAlxLOA/AccB7wjySePIRQCvwEOAs4GLgghHBwEll2cDlwZsIZdtQKfC7GeBDwOuDjKXiPCkXaajLReoRU1uTlWI/FwnrcifW4R9Zj7liPO0lhPUK6atJ6zJ201SP4HbIzl5OeeoQc1qQNnnYxxjtijK3tVx8GJiSZByDGuCDG+GKCEY4BFsYYF8UYm4GrgLclmIcY4z+ATUlm2FGMcXWM8cn25a3AAmB8sqkKQ9pqMgX1CCmrSeuxeFiPnbIeu2A95o712KlU1SOkqyatx9xJWz1CKmrSetyDXNakDZ7OfQD4e9IhUmA8sHyH6yvwl8FuhRCmAEcAjyQcpRBZk1nWZDdZjzllPWZZj91kPeaU9ZhlPXaT9ZhT1mOW9bgXersmy3pjI/kihHAXMKaTVf8eY/xb+33+neyQqSvSkilBoZPbPO1aJ0II1cBfgE/HGGuTzpMv0laTKa9HsCa7xXrsGetxr1mP3WA99oz1uNesx26wHnsmbfXY3UwJsh67KRc1WVQNnhjj6V2tDyG8D3gL8IbYR+eP31OmhK0AJu5wfQKwKqEsqRVCKCdbmFfEGK9POk8+SVtNprwewZrcI+ux56zHvWY97oH12HPW416zHvfAeuy5tNVjdzIlzHrshlzVpIdotQshnAn8K/DWGGN90nlS4jHggBDC1BBCBfBu4MaEM6VKCCEAvwEWxBh/kHSeQmJNdsqa7IL1mDvWY6esxy5Yj7ljPXbKeuyC9Zg71mOnrMc9yGVN2uB51Y+BgcCdIYR5IYSfJx0ohHBuCGEF8HrglhDC7X35/O0Thn0CuJ3sxE/XxBif78sMOwshXAk8BEwPIawIIVyaZB7geOBi4LT2fzfzQghnJ5ypUKSqJpOuR0hfTVqPRcV63In1uEfWY+5YjztJWz1C6mrSesydVNUjJF+T1mO35KwmQx+NIpMkSZIkSVKOOIJHkiRJkiQpz9ngkSRJkiRJynM2eCRJkiRJkvKcDR5JkiRJkqQ8Z4NHkiRJkiQpz9ngkSRJkiRJynM2eCRJkiRJkvKcDR7tIoRwTwghdnK5JelsUrGxHqX0sB6l9LAepXSxJtMhxBiTzqCUCSFsBr4L/HanVfUxxtoEIklFy3qU0sN6lNLDepTSxZpMh7KkAyhdQgj7AUOAe2OMaxKOIxU161FKD+tRSg/rUUoXazI9PERLO5sNtAFPJR1EkvUopYj1KKWH9SilizWZEjZ4tLPZQCmwLoRQt8Pl2qSDSUXIepTSw3qU0sN6lNLFmkwJ5+DRa4QQ7gK2AF/caVVNjHF93yeSipf1KKWH9Silh/UopYs1mR6O4NHOjgAeiDEu3OmyHiCE8EAI4XXty78MIXw+0bRSYbMepfSwHqX0sB6ldLEmU8JJltUhhDAVGEbXx07+B/Bv7V3a8hjj9/oknFRkrEcpPaxHKT2sRyldrMl08RAtdQghvBO4FjiI7BC7HW2IMba23+9RoB54U4yxuU9DSkXCepTSw3qU0sN6lNLFmkwXR/BoR7Pbfy7Y6fZItiu7JYRwJDACeM7ClHLKepTSw3qU0sN6lNLFmkwRR/Co20II44BbgfOAq4EPxRjnJRpKKlLWo5Qe1qOUHtajlC7WZN9ykmV1SwihP9mhd5+KMS4CvgV8JdlUUnGyHqX0sB6l9LAepXSxJvueI3gkSZIkSZLynCN4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNHkmSJEmSpDxng0eSJEmSJCnP2eCRJEmSJEnKczZ4JEmSJEmS8pwNngISQvh6CCHucDkh6UydCSHctmPOpPNIuWA9SulhPUrpYT1K6WJNFhYbPIXpM8DFwIs73hhC+FII4doQwqL2wljSW08YQigJIXwmhPBCCKExhLA8hPD9EMKATu7+P+357uut55dSLIl63JttW48qJn1ajyGEA0MI3wghPBxCWB9C2BpCmBdC+Hd/P0p9Xo/TQwhXhBAWhBBqQgj17futPwghjO3kIdajik2f77Pu9DxVIYTF7c/x407uYk12Q1nSAZQTN8QYl3Ry+7eATcCTwJBefs7/BT4J/BX4PnBQ+/UjQginxxgz2+8YY7wHIIRwOnBiL+eQ0iaJeuz2tq1HFZm+rscPAB8HbgSuAFqAU4H/At4VQnhdjLFh+52tRxWZvq7HCcBYsvuqK4BW4BDgMuDdIYTDY4zrtt/ZelQRSmKfdUffAEbsbqU12T02eIrLfjHGRQAhhOeA6t7YaAhhJvDPwPUxxnfscPti4P+AdwN/7o3nkgpITuqxD7YtFaJc1cx1wLdjjDU73PbzEMLLwL8DlwKd/ZVSKmY5qccY493A3TvfHkL4B3ANcAnZEQKSXivn+5UhhCOBTwNfIDtYQD3kIVpFZHth5sAFQAB+uNPtvwLqgYty9LxS3sphPeZ021IhylXNxBgf36m5s93V7T9n5eJ5pXyWwO+wpe0/h/bx80p5Idc1GUIoJfu98Tbg+lw+VzFwBI96w9FABnh0xxtjjI0hhHnt6yVJUtaE9p9rE00hFaEQQj+yIxD6AQcD32lfdWtioaTi9hlgBvCOPd1Re+YIHvWGccCGGGNTJ+tWAiNCCBV9nEmSpNRp/0vlV8nO/+Hhy1Lf+yCwHlgO3E52TpGLYoxO3Cr1sRDCVOA/gG/sZv4f7SVH8Kg3VAGdNXcAGne4T3PfxJEkKbV+CLwO+LcY44t7uK+k3ncD8ALZUTxHAG8FRiYZSCpiPwMWAz9IOkihsMGj3lAPjNrNun473EeSpKIVQvhP4BPAL2OM3046j1SMYowryJ5FC+CGEMJfgMdCCP2tS6nvhBAuAt4EnBRjbEk6T6HwEC31hlVkD8Oq7GTdeLKHbzl6R5JUtEIIXwe+DPwO+EiyaSRtF2N8BngK+FjSWaRi0f698Qdk575aE0LYP4SwPzC5/S6D228bklTGfGWDR73hMbL/lo7Z8cb2SewOBx5PIJMkSakQQvga8DXgD8AHY4wx4UiSXqs/MCzpEFIR6U/20Mg3Ay/vcJnbvv6i9usfTCJcPvMQLfWGq4F/Az4N7DhB3YfIzr1zRQKZJElKXAjhq8DXgT8C748xZpJNJBWnEMKYGOOaTm4/FZjFq18sJeXeNuD8Tm4fCfyU7CnTfwM805ehCoENniISQriYV4e9jQQqQghfbr++NMb4xx3uewnZYeT/EWP8elfbjTE+G0L4CfCJEML1ZIfaHQR8ErgXzxIi7SJX9bi325aUu3oMIXyc7NlBlgF3AReGEHa8y9oY45298RqkQpHD348/CyGMBe4BlpKdJ3I28G5gK/C53noNUiHJRU22z7lzXSfPNaV98ZUY4y7rtWc2eIrLpcDJO932n+0/7yX718XtBrb/XNnNbX8aWAJcRnao3QbgR8BX/Wul1Klc1uPebFtS7urx6Pafk4Dfd7L+XsAGj/RauarHK4H3AReT/ZIayTZ6fgF8N8a4rKeBpQKXy31W9TIbPIVpaAihDtgSY2zdfmOM8ZS92MapwELg8u7cOcbYBny//dKlEMIgoALobFJmqdAkUY/d3rb1qCLTp/UYY7wEuKS7G7YeVWT6uh6vAa7p7oatRxWhPt9n3VmMcQkQOltnTXaPDZ7C9GT7zxOB+/f2wSGEMuA04NIcnbLuGuCMHGxXSiPrUUoP61FKD+tRShdrsgAET+RQOEII04BpO9z0WIyxJqk8uxNCOBwYsf16jPGu5NJIuWE9SulhPUrpYT1K6WJNFhYbPJIkSZIkSXmuJOkAkiRJkiRJ2jcFNQfPiBEj4pQpU3r02G3btjFgwIDeDbQPzNO1QsrzxBNPbIgxjuzlSImzHnPHPF2zHjvX05ospM83F9KWB9KXqad5rMddpe2zhfRlMk/XrMdduc+aO+bpWk72WWOMBXOZPXt27Kk5c+b0+LG5YJ6uFVIe4PGYgvrp7Yv1mDvm6Zr12Ls1WUifby6kLU+M6cvU0zzW467S9tnGmL5M5uma9dh79Rhj4Xy+uWKeruVin9VDtCRJkiRJkvKcDR5JkiRJkqQ8Z4NHkiRJkiQpz9ngkSRJkiRJynM2eCRJkiRJkvKcDR5JkiRJkqQ8Z4NHkiRJkiQpz9ngkSRJkiRJynM2eCRJkiRJkvJcqhs8IYSJIYQ5IYQFIYTnQwifSjqTVKysRyk9rEcpPaxHKV2sSRWzsqQD7EEr8LkY45MhhIHAEyGEO2OM85MOJhUh61FKD+tRSg/rUUoXa1JFK9UjeGKMq2OMT7YvbwUWAOOTTSUVJ+tRSg/rUUoP61FKF2tSxSzVDZ4dhRCmAEcAjyQcRSp61qOUHtajlB7Wo5Qu1qSKTYgxJp1hj0II1cC9wDdjjNfvtO4y4DKA0aNHz77qqqt69Bx1dXVUV1fva9ReY56uFVKeU0899YkY41G9HClnrMfkmadr1uNr1u9zTRbS55sLacsD6cvU0zzW467S9tlC+jKZp2vFUo/gPmsamKdrOdlnjTGm+gKUA7cDn93TfWfPnh17as6cOT1+bC6Yp2uFlAd4PKag1rpzsR7TwTxdsx57tyYL6fPNhbTliTF9mXqax3rcVdo+2xjTl8k8XSuGeox7WZPus+aOebqWi33WVB+iFUIIwG+ABTHGHySdRypm1qOUHtajlB7Wo5Qu1qSKWaobPMDxwMXAaSGEee2Xs5MOJRUp61FKD+tRSg/rUUoXa1JFK9WnSY8x3g+EpHNIsh6lNLEepfSwHqV0sSaT8Up9Izet28LjtfW8tK2R2tY2WuIgxj2ygAMH9OO4IdWcM3IIoyrLk45a0FLd4JEkSZIkSekTY+T+zXV8d8kaHq3Z1sk9Sni5vomX65u4ZX0NX355JWePHMznp4zhoOr+fZ63GNjgkSRJkiRJ3ba2qYXPvbicuzbWAjCwtISzRg7mDcMHcdCA/oyoKOOB+x9gylFH81xdA7dtqGHOxq3csr6GW9fXcMn4EXxlv3FUlaZ91pj8YoNHkiRJkiR1y10ba/nkgqVsamljUFkJH584mksnjKC6rPQ19xsYIocMrOKQgVVcMHY4a5pa+L+la/njqo38buUG/rFpK7+eNcXRPL3IBo8kSZKkotfW1khNzZPU1DxBQ8MyGptWk8m0UFJSQWXlaAZWH8zQYccxsHpG0lGlxPxh5Qa++NIKMsCpwwbygxkTGVtZ0a3Hjqks51sHTuDCscP4+IJlvLitkbc99TK/nTWVE4YOzG3wImGDR5IkSVJRymRa2LjxXlavuZ4NG+YQY/Nu77uGvwJQXT2DSZM+xJjRbyUEDy9R8fjJsnX85yurAPjslNH8y5QxZM9Kv3dmDazittkH8s8LlnLz+houeHoRvztkKqcPH9TbkYuODR5JkiRJRaWtrYnVq69j6dKf09i0qv3WQHX1wQwdcgwDqg+kX+VYSkr6kck00dC4nNraZ1i//k7q6l5g/vzPsWLFH5h58Pepqpqa6GuR+sKfVm3saO58b/pELho3fJ+217+0hF/OnMJXXl7Jb1Zu4EPPLeaqw/bj2CHVvRG3aNngkSRJklQUYoysXXsTC1/5Dk1NawCoqprK2LHnM2bM2+hXOWb3Dx5/IZnp32DNmht5ZdH3qa19msceP5dZM3/E8OEn9tErkPre3E21fOHF5QB864Dx+9zc2a4kBP7rgPE0ZDL8efUm3vvsYm4/6kCm9K/sle0XI8cUSpIkSSp427Yt5MmnLuT5+Z+hqWkN1dUHMWvWj3ndsXcwZfKHu27utCspqWDcuHfy+tfdwcgRb6S1dStPP3MZmzY/1AevQOp7yxub+ejzS8kAn5k8mg9MGNmr2w8h8N3pEzljxCBqWtu49LnF1LdlevU5iokNHkmSJEkFK8bI8uW/59HH3sqWLY9SXj6Mg2b8N8ccfSOjR53Vo3l0ysoGcsghP2X8+IuIsZlnnvkI27a9koP0UnJaM5HLnlvC5tY23jBsEP8ydc9N0J4oDYEfHTSZaf0reb6ukS+/vCInz1MMbPBIkiRJKkgtLZt5+ukP8NLL3yCTaWLsmHfw+tfdxbhx5+/zBMkhlDD9wK8xauRZtLXV8fz8z5HJtPRScil5P1u+jqe21jO+spwfHzyJkh5MqNxdg8pK+c2sKVSWBP68ehP3bKzN2XMVMhs8kiRJkgrO1q0LePSxc9m46R+UlQ3hkFk/4eCD/4fy8sG99hwhlHDQQd+mX+U4tm59lmXLftNr25aS9OK2Rr67ODtP1Q9mTGJoee6n7z2ouj//MiU7SujzLy6ntrUt589ZaGzwSJIkSSoo69bfzuNPnE9j43IGDpzFscfcxKhRZ+bkucrKBjLjoG8DsHTZz2lp2ZKT55H6SoyRf3tpBc0x8p6xwzh52MA+e+6PTBzFEQOrWNXUwg+WrOmz5y0UNngkSZIkFYwVK67g2Wc/TibTwJgx5zL7yKvp129cTp9z+LATGDb0eFpbt7J02a9z+lxSrt22oYYHttQxtKyUr+yX29rZWVlJ4DvTJxCA36zYwKL6pj59/nxng0eSJElS3osxksncwIsvfRWITJv6GQ4+6LuUlvbrk+efOu1TAKxadTWZjF9KlZ+aMxn+45VVAPzL1DEM6YNDs3Z26MAq3j12GC0x8o1XVvb58+czGzySJEl5qq2tjc2bN7Ns2TIWLVrESy+9xKZNm1i5ciVbtmwhk/FUsyoOMUZeWfQ9IjcBJcyY8S2mTv0EIYeTwu5s8KAjqa6eQUvLJtatv6PPnlfqTdes2cyShmYOqKrkveNGJJbjS1PHUlVawm0baplXW59YjnzT9+04SZIk7bXm5maWLVvGihUrWLNmDatXr6ampqbT+z7zzDMAVFRUMHbsWKZNm8asWbMYPnx4X0aW+sT25s7SpT8HSjlk1v/lbL6droQQGDfu3bz00tdZu/Ymxow+p88zSPuiJRP5f0vXAvC5KWMoK+m7BunORlWWc8m4Efx0+Tr+d+kafn/ItMSy5BMbPJIkSSm1ceNGFixYwMKFC1m+fDltbbueUWTgwIEMGjSIiooKSktL2bhxI5WVlWzdupVt27axdOlSli5dypw5c5g6dSqnnXYaEydOTODVSLmxaPEPWbr054RQRuBDiTR3ths18k289NLX2bTpAdraGhPLIfXEdWs3sbwxO3rnnFFDko7DRyeN5Hcr13P7hlqe3VrPIQOrko6UejZ4JEmSUqS2tpann36a559/njVrXnsGkXHjxjFp0iTGjRvHmDFjGD58OKWlpa+5z9y5cznllFMA2Lp1KytXrmTBggUsWLCAxYsX85vf/IYjjzySM888k4qKir56WVJOLF/+e5Ys+TEhlDJr5v9j/vy+mW9ndyorRzNw4Cy2bn2OzZsfApIbASHtjRgjv1i+HoBPTh5NaR8e3rg7IyvKuXjcCH65Yj2/WL6eHx88OelIqWeDR5IkKWGZTIaXX36ZJ554gpdffpkYI5A9xGr69OnMmDGDqVOnUlW1d3+9HDhwIDNmzGDGjBmceeaZPPjggzz44IM8+eSTrFy5kosvvpjq6upcvCQp59auvZmXXv5PAGZM/xajRp3J/Plzkw0FDBt2Alu3PseWmieAo5KOI3XLA1vqeGFbI6MqynhbCkbvbHfphBH8asV6bly3ha/tP46RFeVJR0o1GzySJEkJaW5u5qmnnuLhhx9m8+bNAJSUlDBjxgwOO+ww9t9/f8rKemd3rX///rzhDW9g5syZXHPNNaxdu5Y//vGPXHLJJfTv379XnkPqK1u2PM7z8z8PRPbb7wuMG/fOpCN1GDzoMABqa+dhg0f54jcrNgDwvnEjqChJz7mYJvev5IwRg7htQy1/XLWRz04Zk3SkVLPBI0mS1McaGhp4+OGHeeSRR2hszM7TMXToUI466igOO+ywnI6qGTNmDB/4wAf43e9+x9q1a7n55ps5//zzc/Z8Um9raFjOM89+lBhbmDDhvUyedFnSkV5j0KDDAaitfbZjNJ6UZmubWrh9Qw3lIXDxuPRNxn/p+JHctqGWP63ayKdScvhYWtngkSRJ6iONjY08/PDDPPTQQzQ1NQEwYcIEjjvuOGbMmEFJH/3VtLq6mve85z387Gc/4/nnn2fmzJkcfPDBffLc0r5obd3K0898iJaWTQwfdhIH7P/vfXoq9O6orBxFefkwWlo2URK2JB1H2qPr1m4mA5w1YhCjKtN3CNTxQ6uZ1K+CZY3NPLC5jpOGDUw6UmrZ4JEkScqx1tZWHnvsMe69996OETtTp07llFNOYfLkZCaNHDZsGKeffjp///vfmTt3LgcddFDqvihLO4oxMn/+v7Bt28tUVe3PrFn/R0lJOr/O9O8/mZaWTcC6pKNIXYoxcvXqTQC8a8ywhNN0riQE3jVmGN9bsoZr1myywdOFdP6PKEmSVACyX0jnc9ddd3XMsTN58mROPfVUpkyZkmw4YPbs2dx///2sW7eOhQsXcsABByQdSdqtZct+xfoNd1JWNojDDv0lZWXp/ZJXVTWZ2tqniKxNOorUpWfqGnipvpHh5WWcNmxQ0nF26/wxQ/nekjXcsn4L32mdwICy0j0/qAjZ4JEkScqBtWvXcuutt7J06VIARo4cyRvf+EYOOOCA1IyUKSsr46ijjmLOnDnMnz/fBo9Sa/PmR3ll0fcAOPig71JVle7TJVdWjm1fqkk0h7QnN63bAsBbRw2hvCQdv5s6M7l/JccMHsCjNdu4a1Mtbxs1NOlIqWSDR5IkqRc1NTVx77338tBDDxFjpKqqitNOO40jjjiC0tL0/cVx+vTpzJkzh5deeokYY2qaT9J2zc0beO75TxJjG5MnfZiRI09POtIeVZS3H+oStyYbROpCjJFb1m8B4C0jBycbphvePHIwj9Zs45b1NTZ4dsMGjyRJUi956aWXuPnmm6mtrQXg6KOP5rTTTkv1achHjx5NVVUV27Zto7a2lsGD07+Tr+IRY2TBgi/R3LyeIYOPZtq0zyYdqVvKy7d/+axLNIfUlRe2NbK4oZnh5WW8bkjuzt7YW84eOYSvLVzFXRtraWjL0L80PadzT4tUvyMhhN+GENaFEJ5LOotU7KxHKT2sx/Spr6/n+uuv589//jO1tbWMGzeOD33oQ7z5zW9OdXMHIITAyJEjAVi/fn3CafKTNZk7K1f+mQ0b76GsbBAzZ/4gtZMq76y8PNsojdQnnKT4WI/d9/cN2UMIzxwxKC9OPT6xXwWHDexPfVuG+zY7Oq4zqW7wAJcDZyYdQhJgPUppcjnWY2q88MIL/OQnP+GZZ56hrKyMN73pTXzwgx9k/PjxSUfrtmHDsoeTbNmyJdkg+etyrMlet23bQl5e+E0AZkz/L/r1G5dwou4LJRXtS62J5ihSl2M9dsucjdkmyRuH58/IzdOHZyeCnrPJBk9nUt0CjzH+I4QwJekckqzHYpdpbiOzrYVMfSuxuY3Yksn+bIsMWAMNz22AEAiVJZT0K6Okfxkl1eWUVKb610zesh7ToampiRdffJG5c+cC2bNjvfWtb2X48OHJBuuBmprsX3GXL1/OUUcdlXCa/GNN9r5MppX5C75AJtPEmDHnMnr0m5OOtFfa2ra1Ly1INEcxsh67Z0tLK0/UbqMswAlD03941nanDhvE95esZe6m2qSjpJJ73pIkMo2ttKyrp3VdA62bG2nb3Ejr5ibaaprIbG0mtmR2+9ixlLJxXuc7sKFfGWVDKykb3o/ysdWUjxtAxYSBlA6s6PT+Ur5YsWIF119/PZs2baK0tJQ3vvGNHHPMMZSUpH1wdOcWL14MwNNPP825556bcBoJli//LbW1T1NZOYbpB34t6Th7ralxddIRpC7dt7mODHDs4AFU59Epxw8fWMWQslIWNzSzpKGJKf0rk46UKiHGmHSGLrV3X2+OMc7azfrLgMsARo8ePfuqq67q0fPU1dVRXZ2ezqV5ulZIeU499dQnYox58edS6zEd9ilPhPJ6qKwNVNZmf1bUQVlT18ddxxBpq4C2CsiUQizN/iRAa2srZaVlhAihDUpboKQVSpugJNP5dpuqIw3DI3WjI41Ds9vpLdbja+6zzzVZUP/+e0GMkeXLl7No0SIA+vfvz8yZM/P2PcpkMpSUlPDII4/Q0NBAdXV1r4/g6elnlk/1CH3zOzLpf/+dyUWmGNeQiV8DWikJnyaEQxLN0xOZ+AAx/haA0pLfJJzmVdZjx/qi32f9dezPXVTybhp4e2hKPM/e+GGs4mEq+CD1nB6aE8/TU7nYZ837ETwxxl8CvwQ46qij4imnnNKj7cydO5eePjYXzNM186ST9dg39iZPpqmN5uW1NC+ppWlpLc3LtxIb23a9Y1kJ5SP7UzaqirJh/Sgb2o/SoZWUDqmkdGAFobJ0t6dOzuY5aZfbY4xktrXQtrmJlvX1tKzaRsuqOpqXb6WyLkNlXWDIUigdUknVkaOoPm4cpdX7PrInbZ9XknqjJtP2fiaZp76+nhtuuKGjufO6172O8vJy3vCGNySSZ3f25j363ve+B0B5eTkNDQ1MnTqVAw88kJEjR1JeXt7neQpZIdYj9H6mGDM88eQF1NS0MnbMeRx88D8nmqenNm0q56l5vwVmpCLPdml5f5LmPit89ZEXoL6Ri448lKMGD0g8z95YtGI9D7+8ks2jx3PKwZMTz9NTuciT9w0eSdKrYmuGpqW1NC3cQtPCLTSv3Ao7HV1VMrCCivHVlI+vpmJcNeVjqigd2o9Q0rtnTwghUFpdQWl1BRUTB8KRO2V8aTP1T6+nbUsTW+9ZTt19KxlwzBgGnjaJ0gG988VS6i0rVqzg2muvpaamhn79+nHuuecyffr0jvl38tXw4cNZunRpx/Vnn32W559/no9//ON5OZeQ8t/q1ddRU/M4FRUjOOCALycdp8cysaV9ya9bSp+Nza28VN9I/5LAoQPTfabHzmw/pfvDW+oSTpI+qf4fJ4RwJXAKMCKEsAL4WowxPWMcpSJiPaZX65ZGGhdsovGFTTQtqnntfDklUD6hmsrJg6iYMojKyYMoHZTsscqhrIR++w2h335DGHTGFJoW11B3/0oaF2yi7oFV1M9bx+C37EfV4SN3O2qo2FmPfevJJ5/klltuoa2tjfHjx3P++eczZMiQpGP1ip0bPACzZ8+2ubOXrMne0dy8iZcXfgeAA/b/945TjeejTFtj+1Kqv24VJOtxzx6tyTZGjhg0gIo8nDtuxoB+DC4rZWVTC8sbm5nYz7kdt0v1/zgxxguSziApy3pMkQjNK+toeG4DjQs20bJm22tWl42uot8BQ6ncfwiVUwel+kxWoSR0NHuaV9VRc/MimhbVsPnqF2l6ZQtD374/oSz/djxyzXrsG21tbdx222089thjABx99NGcccYZlJWlt6b21ogRI15zvaysjJNPPjmhNPnLmuwdC1/5H1pbtzB06HGMHn1O0nH2SUtr9sx0gdwc+qLdsx737LGaeiA7wXI+KgmBowcP4K6NtTxes80Gzw4KZw9FkgpYjJGWVdtoeGY9kx8tYd3tT3WsCxWl9DtgCP0OGk6/A4dSOig/f8lVjKtmxIcOof7xtWy58RXqH19L2+ZGRlwyk1CeP2d3UGHYtm0b11xzDUuXLqW0tJQ3v/nNHHnkkUnH6nU7j9Q57rjjUjUBpYpHTc1TrF59LSFUMP3A/8jbEZxPzbuEmGmhpSXb4GnLBFatupYhQ46mqmpKsuGkdk9vzTZ4jhhUlXCSnjtiYBV3bazl6a31nDt6aNJxUsMGjySlWOvGBuqfWkf9U+to3Zgd7l1OoKS6nP6zRtD/4OFUThtcMKNcQggMOHoM5WMHsOH3z9P0Sg0br3qR4e85qNfnCJJ2Z/369fz5z39m8+bNVFdX80//9E9MnDgx6Vg5sWODp6SkhOOPPz7BNCpWMWZ46eX/AmDSpA8wYMC0hBP1XHnZYNauu7njemtrhgUvfJFjj70twVTSqzIx8kx7g+ewgfnb4DmsvTm1vVmlLBs8RaC1pYX6ms3Ub9lCfW0N22o201BbS1P9Nprq62mu30ZT/TZam5tobW6hrbWF1uZmMm2txBgBaGho4JW/XpGdNLWsnNLyCkrLyykrL6e8Xz8q+1dRUTWAyqoBVFZV0X/QYAYMHkLVDpfSAhrSLuVSpqmVhqc3sO3JtTQvqe24fXtT56W2FRxz7gkF3fComDCQkZcewrqfP0Pj8xupu38lA0+akHQsFYHFixdz9dVX09jYyNixY7ngggsYNGhQ0rFyZujQV//qOXXqVCork52jS8Vp7dqbqK2dR0XFSKZM/mjScfbJ4CFHvabBQ+zPsGEnUj3ggORCSTtY3NDE1rYMYyrKGV2Zvye1OKx9cuhntzaQiZGSPB3119v8xl0AYozUbd7I5lUr2bx6JZvXrGbr+nXUblzP1g3r2bZlc688T1PNlp4/OASqhw5j4IiRDBoxikEjRjJkzDiGjRvP0LHjqRo8JG+H4kq9pXnFVrY9uob6eeuJzdlTmYfyEvrPHE7VkaOp3H8IoSTQMHdFQTd3tisfM4Bh757Oxsufp/bOpfSfOZyy4fl3pgflj3nz5nHjjTeSyWSYMWMG5513HhUV+XnIY3eVlpZSWlpKW1sbxxxzTNJxVITa2upZ+Mr/ALDftM9TVpbfhwgOGXL0a65n4kAmTszv+YRUWJ7d2gCQl2fP2tHIinLGVZazqqmFRQ1N7F/VL+lIqWCDJ880bqtj/dLFr7lsWrmClqbG3T4mlJQwYMhQqgYNoWrIEKoGDab/oMH0qxrQPuqmioqqKsor+1FWUUFZWTmlFRWUlpV1NF0eeeRRjj32GGKMtLW00NrS3P6zhZbGhh1GAtXTVF9HfW0t9TVbdrjUULdpI3WbNrL6pRd2yVhZNYBh4ycwcvJURk6exqgpUxkxaQoV/fL7Px5pT2JLG/Xz1lP38GpaVr56qseKKYMYcNRo+h8yItWTJOda/xnD6H/YSBqeXs/W+1Yy9O37Jx1JBSjGyP3338/dd98NwOtf/3re+MY3UpKHZxbZW3V1dbS1tVFSUsK0afl7WIzy17Llv6OpaQ0Dq2cydux5ScfZZ9UDDqCsbCCtrVsBCAxj+LCTEk4lveqFbdnvjQdX5//3rIMG9GdVUwsvbmu0wdOueL815IGYybBhxTJWv/QCq156gdUvv8CmVSs6vW//gYMYOm4CQ8eOY+iYcQwaNZpBw0cyaOQoBgwdSknJvk1Q2m/IUIaOHd/jx7e1tlK3aSNbN6ynduN6atetZfPqlWxavZLNq1bSVL+N1S+/yOqXX+x4TAgljJg4ibEHzmDsATMYd+AMho4d70gfFYS2mibqHl7NtkdXk9nWCkBJVRlVR45mwDFjKB+Vv8dE97ZBp06k4en11D+5lsFnTSnqhpd6XyaT4Y477uDhhx8G4KyzzuLYY49NOFXfWbhwIQDTpk2jvDx/h+orP7W0bGbp0l8CsP/+XySE/G+qhlDKoEFHsmnTvQCUl08uiNelwvFie4Nn+oD8b4gcOKCSuzdlX9ObRyadJh3cS06RGCObV69i2XNP88qcu3j+T7+kcWvta+5TWl7OiIlT2ke6TGXUlKkMnziZ/tUDE0rdPaVlZQweNZrBo0bvsi7GSENtDeuXLXnNyKSNK5Zlb1u2hGfuyk5MN2DoMCbNPJT68kpqZx3MoBGj+vqlSPukefU2tt67nIZnNkAmO8dV+fhqqo8fR9UhIwnl7gTurHzMAComDqR5+VaaltTSf/qwpCOpQLS1tXHDDTfw7LPPUlJSwnnnncesWbOSjtWn5s+fD8CBBx6YcBIVoyVLf05bWx3Dhp3IsGHHJR2n1wwaOLOjwVNWNjbhNNJrvVRADZ7tr2F700o2eBLX1trKyhfms+jJR3jliUfZsmb1a9ZXDx/BhBkzGXvAdMYeMJ1RU6ZRWlZYf2ELIVA1eAiTDzmcyYcc3nF7S1Mjaxe/kh3Z89ILrHxxPts2b2LB/XMB+NWc2xkxaQr7zT6GaUcew9j9DyQUwXB65Z8YI82La9l673IaX2yfE6sE+h86gurjx1MxaaAj0/agctpgmpdvpXmxDR71jtbWVq699lpefPFFKioq+Kd/+if222+/pGP1qfr6ehYuXEgIgYMPPjjpOCoyjY2rWbHiDwDsN+1zCafpXRWV2T9oVlSMpK1130bRS72psS3D4oYmSoBp/fN/Uv3pA7KHmdngeZUNngRkMm2smP88Lzx4Ly8/8iCNdVs71vWrHsikQw6nsbwfp7/jfIaMHlu0X/zKK/sxYcZMJsyYCWS/JG9cvpRlzz/Dk3Pvpn7NKjYsW8KGZUt45K/XMGDoMKa/7gSmH3cSYw+YXrTvm9IjxkjTy1uovXsZzUuzo/FCeQkDjhlD9YnjKRuS/385ybW2rc201TRROjz7XrWu91SY2nfNzc1cffXVvPLKK/Tr14+LL76Y8eN7fhhyvlqwYAGZTIZp06ZRXZ3fE9sq/yxZ+lMymWZGjTqbQYMOSTpOrwoh29QZNOhwNm9KOIy0g2WNzWSAKf0r6Fea/38Y378q26Ra0tDkmbTa2eDpQ5vXrOLZu29n/n1z2LbD//bDxk1g2uxj2G/2MYw78CBKSkuZO3cuQ8eMSzBt+oQQGDFpCiMmTaG2/yBOOP54Vix4jkVPPMorTzxK7fq1PPn3G3ny7zcyeNRoZp58OrNOeyMDh41IOrqKTIyRpoVbqL3r1cZOSVUZA14/jurjxlE6oLBG4eVS25Ym1v1kHpRlf2E3PL+R1i2NNsfUY01NTVx55ZUsWbKEqqoq3vve9zJmzJikYyXiySefBOCQQwrry7XSr7FxFatWXQsEpk39VNJxel1jw3IABg482AaPUmVpQxMAU/rl/+gdgIFlpQwrL2VTSxvrmlsZk8enfe8tNnhyLNPWxsLHHuLpO29l2XPPdNw+ePQYZhx3EjOOO4kRk6YkFzCPlZWXM+XQI5hy6BGcesllrHnlJV544B+8+NB91Kxby4PXXsFD113JtNlHc/gbz2byYUc6qkc517S0lprbFtO8+NXGTvVJE6h+/ThKKh2mvbdCv/b3rDV23Lbmvx+j30HDGP7eg61p7ZWmpiauuOIKli1bRnV1Ne973/sYObI4Z2VcvXo1K1eupLKykpkzZyYdR0Vm6dJfEmMLo0e9hQEDCu/siNu2vQzAgKriOuxT6be0sRmASf0rEk7Seyb3q2RTSz1LG5ps8GCDJ2damhp5fu7dPH7LX6lZuwaAsopKph93IoecdgbjDpzhF5NeFEJg7P7TGbv/dE6++AMsf+5Znrn7NhY+9hCvPP4Irzz+CCMmTeHoc85j+nEnUVrmP331rpb19dTctoTG5zcCEPqXMfCk8VQfN86zPu2Dkn6dvHcBBp48wf9DtVeam5u58sorWbZsGYMGDeJ973sfw4cPTzpWYh5//HEADj/8cCoqCmdHX+nX2LSGlauuBgJTpnw86Tg5sbUuO3n5wIEHA0uTDSPtoGMETwHMv7PdlP4VPLW1niUNzRw7JOk0yfNbRy9rbWnhmTtv5eG/XkNDbQ0AQ0aP5Yiz3srBJ51KvwEe455rJSWlTD70cCYfejjbtmzmubl38dRtN7Fh2RL+/pMf8MA1f+L177yQg086dZ9PHy+11TVTe+dStj22BjLZOXaqTxjPwJMndN6c0F4JnYx6qj5+PJVTBieQRvmqpaWFq666iiVLlnSM3Cnm5k59fT3PPJMdVTx79uyE06jYLFv2G2LMzr1TXV14Z29rbt5EU9MaSkur6N9/EjZ4lCbLto/g6Vc4jf1J7c2q5e2vrdj57aOXxEyGBffP5f6r/8jWDesBGD3tAI552zvY/5jX20hIyIAhQzn27ecz+81v54X75/LYjX9h06oV3P6zH/L4Tddz4oXvY7/ZxyYdU3kotmWoe2g1tXctJTa2QYABx4xh0OmTKB1UOH8VSVooL4GS0HFK+ZKBFQx60+SEUymftLa2cvXVV7No0SIGDBjAJZdcUtTNHYBHH32UlpYW9ttvP0aNGpV0HBWRlpYaVq26CoApkz+acJrcqKtbAMCAAdM7JluW0mJNUwsA4wroUKax7a9l+2srdjZ4esGGZUu46zc/ZeUL2eGYIyZO5oQL3su0I4/xEIKUKCsvZ9apb+Tgk0/jhQf+wQNX/4mNK5Zxw//8J9NmH8Mb3v8RBo10J1fd0/jyZrbctIjWddkzOlUeOJQhb55K+egBCScrPCEEQmUJsaENgCFv34+SCneY1T2ZTIa//vWvLFy4kKqqKt73vvcxYkRxT7zf3NzMo48+CsAJJ5yQcBoVm5Ur/0xbWz3Dhp7QfvhS4dm69TmAgn19ym/bmyCjC6jBM6aivcHTbIMHbPDsk0xbGw/95SoeveEaMm1tVA0ewknveT8HnXiKI3ZSqqSklINPPJXprz+Bp++4lQeu+ROLnniUZc89zUkXXsLhZ7zFppx2q21rM1tuWUTDvOwovdLh/Rjy5mn0O2iY/25yqaQEaKNkYDlVM4v7y7m6L8bIrbfeyvPPP09FRQUXXXSRo1WAp556ivr6esaNG8eUKVOSjqMiksk0sXzF7wGYNOmDCafJnZqapwAYPOjwZINIO2nNRNY3txKAURUF1OBxBM9r2ODpoZp1a7jlR99j9UsvQAgc9sazOeHd76VftXPs5IPSsnKOPPttHPj6E5n7h1/z4oP/4J7f/YIlTz/JGR/5FFWDhyQdUWkSYduja9jy98XEhlZCeQkDT5vEwBPHE8pKkk5X+FozQHbuHam75syZw+OPP05paSkXXngh48aNSzpS4pqbm7nvvvsAOPHEE21Mq0+tWXMjzc3rqa4+iGHDCnP0WIyRmtr2Bs/gIxJOI73WhpZWMsCI8jLKSwrn///tDZ7VNngAGzw9suy5p7nxB9+iads2qocN5+xPfI6JMw9NOpZ6oHroMN7yqS9w4OuO585f/IhFTz7GH7/4Kc79168xasq0pOMpBVo3NTLusRI2b8qe8rTywKEMfdt+lA3vn3Cy4tCydhuxqQ3KAgOOHpN0HOWJxx9/nH/84x+EEDj//PMdqdLuscceo66ujnHjxjFjxoyk46iIxBhfHb0z8QMF21xsbFxBc/MGysuH0b//lKTjSK+xof0QppEVhdUCGFGefT2bW1rJxEhJgf7/0l2F9en2gWfn3MFdv/oJmbY2ps0+hjM/9hn6Vw9MOpb20YHHHs+Y/Q7klv/7LqtenM9VX/0Cb/7UF9hv9jFJR1NCYoxse3QNNbcspqo5UDKgnCHnTKP/YSMLdsc0jbbOXQHAgKPGUDqgcIYTK3deeuklbrnlFgDOOeccGxntGhsbuf/++wE47bTT/H9Mfaqm5gnq6hZQXj6M0aPfnHScnNlS8wSQPTzLGlPabG7Jzmc4tLywWgBlJYGBpSVsbctQ29rGkAJ7fXvLYwv2wtN33sodP/8/Mm1tHHXOebz981+2uVNABo0Yyflf+SYHnXgqLU2N3Pj9b7LwsYeTjqUEtNU2seG3z7HlrwuJzW1sHZNh9GdnU3X4KHfY+lDzyjrq562D0sDAEz08S3u2evVqrr32WmKMnHTSSRx55JFJR0qN+++/n4aGBiZNmsR+++2XdBwVmeUr/gDA+HHvpqSkcM80uXlzdr9xyFD/QKj02dTaCsDQ8sKbK3ZoxyietoSTJM8GTzc9f+/d3PXrnwJw6iWXcfJFHyCU+PYVmrLycs76+Gc5+q3vINPWxk3/+98snvdE0rHUhxoWbGTtD5+k6eUtlFSVMezCGaw9PDp6pI/FGKm5ZRFEqH79OA+J0x7V1tZyxRVX0NLSwqGHHsqpp56adKTU2Lx5Mw899BAAb3rTm2xUq081Na1l/frbCaGU8eMvTDpOTm3enK2zoUNfn3ASaVdbto/gKSu8ES7bm1ab25tYxcwORTeseukF7vjFjwA4+eJLOfKstyacSLkUQuDECy9h9pvfRqatlVv+3/+wec2qpGMpx2Jrhi03vcLG388nU99K5QFDGP2Z2VQdOjLpaEWp/vG1NC2qoaSqjEGnTUw6jlKupaWFq666irq6OiZPnsxb3/pWmxg7uPPOO2lra+PQQw9lwoQJScdRkVm16lpibGXEiDfSr9/YpOPkTEPDchobV1BWNoiB1QclHUfaxfYGz5BCHMHT3rTa4ggeGzx70lC3lZv+99tk2lo54sxzOOot5yYdSX0ghMDJF3+Q/Y9+PU3127jx+9+itcWZ2QtV65Ym1v38aeoeWAUlgcFnTWXE+2dROrAi6WhFqXVLE1tuXgTA4HP2o6TK0VPavRgjN954I6tWrWLIkCG8613voqwA/zrZU4sXL2b+/PmUlZXxhje8Iek4KjIxZli1+joge3hWIesYvTPkWEIovC/Qyn/b2rLNj+rSwmsBDGg/q+22tkzCSZJXeJ9uL7v/yt9Tt2kjYw+cwckXfyDpOOpDIQTO/NhnGDp2HBuWLeGJm/+adCTlQOPCLaz70ZO0rKijdEgloz56GANPnkAooNNH5pPYFtl8zYvEpjb6HTSMqsMdQaWuPfDAAzz77LOUl5dzwQUXMGDAgKQjpUZrays333wzkD0t+uDBgxNOpGKzefNDNDYup1/lOIYNOz7pODm1ceM/ABha4K9T+as+k21+VBVgg6d/+9Qp9TZ4bPB0Zd2SRTxz9+2UlJZyxoc/SWmZf0UuNpVVVZz+wY8D8PD1V7N104aEE6m3xBjZet8KNvzmWTLbsodkjfrnI6iY6MTpSaq9c2n20Kzqcoaed4CH2ahLixYt4u677wbgvPPOY/To0QknSpcHHniAjRs3Mnz4cI4/3i+d6nurVl0DwNhx5xNC4X7tyGRa2LjpPgBGDD8l2TDSbmxvflSVFt4Is+1Nq+1NrGJWuP/T9oInbv4rxMhhbzqb4RMmJR1HCZk06zAOOOY4WpubePqOW5OOo14Q2yJbblhIzS2LIcLAUydmD8lyIuVENTy/ka1zl0OAYRfM8BA5dam2tpbrrruu44xZBx3knBc72rhxI//4R3ZEwVve8hYPW1Ofa2mpZf2GO4DAuLHvTDpOTtXUPElbWx1VVfvTv7/zximdXm3wFF4LoKPB4wienjd4Qgi/CyGM680wadKwtZYXH7oPQmD22W9LOo4SNvvNbwfgmbtuoy2Fs7MXej32pkxjKxt+/zzbHlkDZYFhF85g8BlTPCQrYc0rtrLpqhcAGHTGFPrtNyTZQPvAesy9trY2rr32Wurr69lvv/045ZRTko6UKjFG/va3v9HW1sZhhx3G1KlTk46UGOsxOevW/51MppmhQ19Hv36F/RFs3DgXgBEjTkk0R9pZj8lqykQAKgtwn3f7IVqNNnj2aQTPdcDfQgjfDiEM6q1AOwohnBlCeDGEsDCE8MVcPMfuLHvuGdpaW5k08xAGjxrTl0+tFBo3/SCGjBlLw9Za1i5amHSczuS8HiHZmuwNbXXNrP/FMzS9tJmSAeWM/NChniUrBVo3N7Lh8ueJLRmqjhzFwJPz/iw/1mOO3XXXXSxfvpxBgwZx3nnnUVJSeH+N3BcrVqxg2bJlVFdXc8YZZyQdJ2nWY0LWrPkbAGNGF/YfSmOMrN9wJwDDPTxrT6zHBLXGbIOnrAAPf9/es2ojJhskBXq8RxRjvAU4FlgE3B9C+OcQQq+N/w3Z6ed/ApwFHAxcEEI4uLe2vycrFjwLwMSZh/XVUyrFbvvp/1I1KDs55YoFzyWcZle5rkdIvib3VeuWRtb//BlaVm+jbER/Rn3sMCon52zfQt3UtrWZDb95jkxdC5X7DS6IeXesx9zauHEjDz30ECUlJZx//vlOqryTDRs2sHjxYiB7aFZVVVXCiZJlPSajsXE1W7Y8SklJBaNGnZl0nJzatu0l6usXU14+lCGDj046TqpZj8lqa2/wlOb5flZntjet2uzv7NscPDHGDHA38EPga8CCEEJvnUf8GGBhjHFRjLEZuArosz8B1K5fB8Dwic69I1j98guseil7+Mijf7uOebffQn3NlmRD7STH9QgJ1+S+aN3QwPqfPUPrhgbKxw5g5IcPpWx4/6RjFb22umbW/+rZjs9l+EUHE8oKYySG9ZgbdXV1vPBC9v/i0047jYkTnetiR21tbdxwww1kMhkOPfRQZsyYkXSkVLAe+97adTcDkRHD30BZWWGfvGDd+jsAGDnijZSUONfVnliPydne/CgrvP4O65uzU2gsaWhKOEny9mUOnrtCCCuAy8l2Rz8GvBM4O4Tww17INh5YvsP1Fe239YmG2loAqgZ6SlFlh99u17Stjrt/+zN++5kPp6bJ0wf1CAnXZE+1bmpk/a+eoa2miYrJgxh52aFO3psCbdta2PCb52hdV0/ZqCpGXDqLkv6FsWNsPeZGJpPhhhtuoKWlhalTp3LcccclHSl1/vGPf7BixQoqKio466yzko6TCtZjMtat+zsAo0efk3CS3Fu//jYARo58U8JJ0s96TNb2Q7RKKbwOzy3rtwDwt3VbEs2RBnvcmw4h3ARcEGOs22nV54FnY4xtO93+oRDCC72QrbN/ebsMugohXAZcBjB69Gjmzp3boyerq6t7zWO31tcD8MTjj/HymnU92ua+2DlP0oo9z+CjTqBl3mNsW7EEgAlnvJ0ho8fw6FPz+jRPgvUI3ajJXNVjT5U1wPhHSyhvCDQMibxywGbiI/cnlqe35Hue0kYY/1gJFdsCzVWRxTO38sLjDyaWp6fSXo/tGfe5JtPy723lypUsXLiQ0tJSxowZ03GGqKSl5f3ZsmUL8+bNA2DKlCk88sgjyQbaQV+8R9ZjcnbOFOMmMvFpoILnn4f58+fu7qF9kieXYlxDJr4A9OfZZ1sJYdfnTdtnZj12ZEzVPmtv6SpPTRwAlDPv6adpC31z0pi+en/6x2qgjHJil8+XT59XT3Xnz6VnA1VAHUAI4WrgYzHGee3XS4DqGGPtTo/ZVyuAHcdeTwBW7XynGOMvgV8CHHXUUbGnZ9KYO3fua87CsXXeI7y0ajn7TZzAzJN7ts19sXOepBV7nl//86VsW7e24/oIWnnDm9+SRJ6k6hG6UZO5qseeyNS3sO5nT9Pa0ED5xIGMu3QWB/Tr2QiRYv/3vyd7k6d1QwPrf/0sbduaKBtdxdhLD2HaoN4dUWU9vqo3ajIN/942bdrEAw88AMD06dNTNXFwGt6fhoYGfvaznwFwwgknUFZWlnimHfXRe2Q9JmTnTMuXX85LL8PIkady6CF9X6t9+R4tWvRDFi+BsWPO5uCD35h4nu6wHrPStM/am7rK84unX4FNW5l56KGcMrxv5qHsq/fngiVr+fbi1Xxk0mhO2e+IxPN0Vy7ydOcQrZ27oGcDOx63NBLYtOMdYoyL9jEXwGPAASGEqSGECuDdwI29sN1uGTU5e0rRVS8t6KunVIrtcIQWg0aO5uSLL00qSlL1CAnX5N6IrRk2/GE+resbKB9Txcj3z6Skh80d9Z6mZbWs+9nTtG1pomLiQEZ9+FBKe7m508esxz6QyWT429/+RktLC7NmzWLUqFFJR0qVTCbDX//6V2praxk/fjynnnpq0pGSYj2mxLr1twMwamRhT64cY2TN2vYzhY1xipedWI8pVNL+sbTGwpuJuJDPELa3eusbT6/PihljbA0hfAK4HSgFfhtjfL63n2d3Js48FIDF854gk2mjpKS0r55aKZRpe3UY45v/+XOUlZcnmGaPcjJLbdI12V0xRjZd9xLNS2opHVTB8PfPoqQq1Z9XUah/Zj2brnkJWjNUHjCE4RcdREllUTTdiroee8Njjz3G0qVLGTBgAGeddRaPPfZY0pFS5cEHH+Sll16iX79+vPOd76S01P2VLliPOdbSspktWx4nhHJGjCjsZmNt7dM0NCyjomIUQ4e+Luk4+ch67GPbz2ORKbz+Tsfp0QvxDGF7q7f2rnPyzyTGeCtway62vSdj9z+QIaPHsmXtahY98Rj7H+1/3MWspTE7I/vwCZMYNz31Z1rM2X/bSdZkd9Xdv4qGeesJFaUMv2QmZYMrk45U1GKMbJ2znNo7lgIw4JgxDHnbfoTSwjhbVjcUdT3uq5qaGu6++24ge8pvT4n+WosXL+54f84991yGDh2acKLUsx5zbOPG+4AMQ4a8ruDPnrVm7Q0AjB79FrJn5tZesh772PbRLc2FOIIns30ET8JBUqC7e9jvDyG8LoTQr/164f2r2EkoKeHwM94MwEN/uZJMZue5wFQsWhobaW7MTrp93PkXJpwGKMJ67K6mJTXU/H0xAMPedSAV46oTTlTcMo2tbPzTgo7mzuCzpjLk3P0LrbljPebQ3//+d5qbm5kxYwYHHXRQ0nFSpaamhuuuu44YIyeccALTp09POlIaWI8J27hxLgAjhp+SaI5ca2trYs2a7FE/Y8e8Pdkw6WU9pkz/kuz+V0NbJuEkva8+k31NVYW1j9kj3XkH5gL/CjwI1AIDgO+EED4VQjgRGJKzdAk79A1nMnD4SNYtfoVn7rwt6ThKyMPXX0XMZBg1ZRr7H/P6pOPMpUjrcU8yDa1s+vMLkIlUnzSe/rNGJB2pqLWsq2fdT+bR+PxGQr9Shr/3YAaePIFQWENn52I95syLL77ICy+84Cm/O9HS0sJVV13Ftm3bmDJlSjHPu7OjuViPiYqxjY2bsme3Gz68sP9Nrl9/O62tNQwcOJOBA2cmHSeN5mI9ps725sf2ZkghqW/b3uBxNN0eD9GKMZ4GEEKYBsze4fIVYNj2u+UqYJLK+/XjlPd9kJt+8G3u/dNvGT/jYEa2T76s4rD02Xk8duP1ALzh0o8lPhdTMdfjnmy5eRFttc1UTBrI4DOmJB2naMUYqX9iHVtuXEhszlA2uorhFx9M+Yj+SUfrddZj7rS0tHDrrdnR9aeeeiqDBw/ewyOKR4yRG2+8kdWrVzNkyBDOP/98593BekyD2tpnaWnZTP9+k6iqKuz95VWrrwVg3Nh3JZwknazHdOpo8BTiCJ42R/Bs1+05eNpnNl8EXLv9thDCFOAo4MheT5YSBxxzHDNPfgPP33s3N37/W1zwX9+japA7msVgy9o13PL//ocYMxx77j8x7sAZSUfqUKz1uDsNL26i/om1UFbC0PMPLLRDgPJGprGVzTcspGHeegD6Hz6SoeceQEllYX/5tB5730MPPURNTQ2jRo3imGOOSTpOqjzwwAM8++yzVFRUcMEFFzgv0U6sx+Rs3vwQAMOGHV9oozVfo6FhGZs3P0hJSSWjR7816TipZj2my6sNnsKYemRTSysfn7+UQWWlPFGzDYC7NtSwqaWVt40awsiK4jzJyj5NshxjXAIsAa7rjTBpFELgDR/8GOuXLmHdkle47r++zPlf/Rb9qwt74rhiV7t+Hdf+57/RsLWWKYcdyXHvSsXcO10qhnrsTGzNUHPjKwAMftNkykdWJZyoODUtqWHTNS/RtqmRUF7CkLftT9XsUQW9k9+VYq3H3rB161buu+8+AM4880xHp+xg/vz53HXXXQCcd955jB49OuFE+cF67BvbGzxDhyZ+OHtOrVx5FQCjRp5FefmghNPkH+sxOQPbf59ubS2METzDyst4pb6JZY3NHbddv24Lczdv5eJxwxNMliz/zN0N5RWVnPelrzN07HjWL13Mtf/572zdtCHpWMqRjSuXc803vkTt+nWMPXAG53zmi4kfmqXdq3t4Na0bGykb2Z/q48clHafoxJYMw18IrP/FM7RtaqR87ABGffIIBhw1umibO9o399xzDy0tLUyfPp1p06YlHSc1li9fzvXXZw8ZPv3005kxIz2jSqVMpoktNY8DMHTosQmnyZ22tkZWrb4GgAkTLko4jbR3hpZnv89samlNOEnvOWXYroMu/mnMMCpLirfNUbyvfC8NGDKU87/6TYaMGcv6JYv4879/jrWLX0k6lnrZsuee5sqvfJ6adWsZs/+BvONL/0FFf0eEpFWmuY2t9ywDYPDZUz00q481L9/K2h89ydAl2fd94CkTGfXxwx1FpR5bv3498+bNo6SkhDe96U1Jx0mNjRs3cuWVV9La2srs2bM5/vjjk44kvUZNzdNkMk0MGHAgFRWFe5KDtetupqVlMwMHzmLQoMOTjiPtlWHl2YN3NrcUxiFaACcN3bXBc1ERj94BGzx7ZeCwEVzwn99j/IyDqdu0kau+8i/Mu+NWYnSOsHyXybTx0F+u5LpvfoWmbdvY/+jX8a6vfIvKKuc2SLP6x9eSqW+lYuJA+s0YtucHqFdkGlvZcuMrrPvpPFrXNdA8IDLyo4cx+MwphDJ/rajn5syZQ4yRI488kuHDi3sHbbu6ujquuOIK6uvrOeCAAzj77LMdHafUqdk+emdI4Y7eiTGyYsUfAJg44b3WofLO0O0NntbCGcFzwtBqdqzEYwcPYL+qfonlSQP3xPdS1aDBvPPL32TWqW+itaWZu3/zU/72vf+ibvOmpKOph7asWc01//ElHrzmCmImwzFvP5+3fvbfKO9X3P85pF3MRLY+sBKA6pMK7vTbqdXw3AbW/uAJ6h5cBSH73i8/LkPlJOch0L5ZvXo18+fPp7S0lJNOOinpOKnQ2NjIn/70JzZt2sSYMWN45zvf6ZxESqWa2nkADB58RLJBcqim5gm2bn2e8vKhjBr1lqTjSHutEA/RGlJexiHVr56p9f3jC3cEYXft0yTLxaqsvJwzPvJJJh9yGHf9+qe88vgjLH/+WU5498Uc9qazna8lT7S2tPDY367jkRuuoa2lhQFDh3HWxz7L5EMPTzqauqF5+VbaNjZSOriC/jP9S3+utayvp+bmRTS+uBmA8gnVDD3vACrGVRPnLk04nQrBvffeC8DRRx/NoEE2DFtaWrjyyitZs2YNw4YN46KLLqKysjLpWNIuYozU1DwFFHaDZ+myXwEwfvx7KC21FpV/RrWfVWpdcysxxoL54+gRg6p4pq6BEuCskZ7t2gbPPphx/MmMO/Ag7v7tz1j05GPc87tf8Ow9d3DihZcw5bAjC6ZoCk3MZHjxoft44Oo/sWXtagAOPuk0Tr74UqoG+Z9Cvmh4pv1U3IeMJJRYa7mSaWql9p7l1N2/EtoiobKUwW+azIDXj/N9V69Zv349L7zwAqWlpc4vA7S1tXHdddexdOlSBg4cyMUXX0x1dXXSsaTdWEdLyybKy4fTr9/EpMPkxLZtr7Bhw12UlFQyccLFSceRemRgaQlVpSXUt2Woa8swsKwwBiXs1z/bcB1VUVbUkytvZ4NnHw0aOYq3f+GrLHz8Yeb87pesX7qY67/9NSYcPIvjz7+I8QfNtNGTEjFGFj/1OA9c/SfWLclOkD1s/EROv/SjTJx5aMLptLcaX86OJOk/y9E7uRDbItueWEPtnUvJbG0BoOqo0Qw+YwqlAysSTqdC8+CDDwJw+OGHM3DgrhMmFpO2tjb+8pe/8OKLL9KvXz8uvvhihg4dmnQsabciSwAYPPjwgt3nXbbs1wCMHXNeQU8ircIWQmBMRTmLGppY3dRSMA2ewe2Hns3c4VCtYmaDpxeEEDjg6Ncz5bAjmXf7LTx6w7WsmP8cV//HFxl7wHSOPucd7Hf0sR66lZC21hZeeOAfPHbjX9i4InvGpephw3n9Oy9k1imnU+J8Bnkn09RK6/oGKA1UTCjuL4O9LcZI4/xN1Ny+mNZ1DQBUTBrIkHP2o2Ki77V6X21tLU8//TQhBI477rik4yQqk8lwww03MH/+fCorK7n44osZNWpU0rGkrsXlAAysnplwkNxoalrL6jU3AIFJky5NOo60T0ZXlrGooYm1TS0cOKAw5hvd0H5WsP2LfHLl7Wzw9KLyikqOPuc8Dn3DGTxxyw08ddvNrH75RW78wbcYPHoMh5x2BrNOOZ0BQ/xLXF+oWbeWZ++5g+fm3sm29kmwq4cOY/ZbzuWwN51NeYXHT+erljX1EKF8dJVnbepFTYu2UHPHUpqX1AJQOqwfg8+YQv9DRng4lnLmySefJJPJcNBBBxX1mbMymQx/+9vfePbZZ6moqOCiiy5i/PjxSceS9ijS3uAZeFDCSXJj6dJfEmMzI0eeSVXV1KTjSPtkfGUFsI3lTc1JR+k1Kxuzr2VsZXnCSdLBBk8OVFYN4Ljz38PR57yDZ+fcyRO33EDN2jXcf+XvefCaP7HfUcdy0AmnMPXwoyir8FCH3tTc2MArjz3M/PvnsuTpJ6H9FPbDJ0zi6Le+gxnHn0RpmcWf7zLbsocMlQ6ySdcbmhbXUHvnUpoW1QBQMqCMQadNYsCxY22gKafa2tp44okngOzkysWqra2NG2+8kaeffpry8nLe8573MHFiYc5lokLUPjq6uvAaPE1N61i56koApk75RMJppH03qX/2u+eyhsJp8CxpaAJgSn+/F4ANnpwq79ePI886h8PPOJulTz/FM3ffxitPPMrLjzzIy488SEX/Kg445jgOfN3xTJx1qCNKeqi5oZ4lzzzFiw/dz6InHqW1OVvkpeXlHHjs8Rz6hjOdC6nAZBqyp3cs6efhdT0VY6R5cQ219yynaeEWAEK/UgaeMJ7qE8ZT0s9fD8q9l19+ma1btzJ8+HCmTi3Ov4y3tbX9f/buO7zN8mzj8O+RLO+9Y2fvvVkJI0DYG8oepYPVXbpL926h/WhpC6WUUii77D0TIECA7D0dZziO954az/eHnBBCCBmW31fSdR6HDtmyLF2RdMd6bz2Dxx9/nJUrV+Lz+bjssssYNGiQ07FE9kt3dx3QjNebTnJyf6fj9LotW+4iFOqiIP+kmB2hJPFlUHL4eHNzT1MkFmzpGcEzKEUDJ0ANnj7h8XgZMmU6Q6ZMp7W+jtVvv8GaeW9QXb6RlW+8yso3XiUhKYlBE6YwbNrhDJ401enIrmatpbOpgcUvPcvGBe+xbdVygoHArp+XjBrL6JnHMnrGsaRkaKvdWORJCjd2Qt0hh5NEHxuydK6up+WNrXRvaQHAJHlJP7qUjKNL8aToz4L0ncWLw1srT5s2LS6b8IFAgEcffZS1a9fumpY1cOBAp2OJ7Lf29k0ApKUOjbka7uquZVvF/QAMGfJVh9OI9I7BPU2Q8hgZwRO0dtdopIHJavCAGjx9Lj03j8POOp/Dzjqf+u3bWPP2m2xc8B7V5RvZuGA+GxfMByApKwf/+hUMHD+J0lFjSc+N33UJrLU011RRsWYVW1YsY8vKpbTU1rBy5xWMoWTkGIZNP4LRM44ls0ALUsY6T2p4ml2wJTb+OPUF6w/SvqSGlre27Vo82ZOaQPqMEtJnlOx6TEX6SkdHBxs2bMAYw4QJE5yO0+e6urp45JFH2Lhx467dsrTmjkSbnQ2e1NShDifpfeXlfyUU6iQ/fzYZGbG5gLTEn53TmMo7urDWRn1jdnuXn25ryfclkBYju4IdKjV4HJRb0p8ZF17GjAsvo6WulrJFH1C2+AO2rVpOV1MDy159kWWvvghARl4B/UaMomTkaIqGDCd/0GCS09Id/hdERntzEzXlm9hRtp7K9WupXL+G9qbGj1zHm5zCsElTGTrtcIZMmU5qZpYzYcURvuJUMODf3or1BzE+/Yf+SQJNXbS9W0nb+5WE2sMj3bxZSaQfW0raYcV4EvXYiTNWr15NMBhkyJAhcbc1eltbGw888AAVFRWkpqZy1VVXUVxc7HQskQPW3l4GQGrqYGeD9LKOji1UVDwEGIYNvdHpOCK9pjAxgQyvh4ZAkFp/gILE6P6Ab31bJwAj0rTUyU5q8LhERl4+k046jUknnUYoGOSF/z1CfqKXrauWU7l+LS11NbTU1bBu/rxdv5NZUEjBoKHkDxhITr9ScvqVklvSn+R09zd+rLV0NDdRX1lBQ2UFDdsrqN1STs3mTbT27Hi1u+SMTEpGjGLAuIkMHD+JlZs2c/zxxzuQXNzAk+rDV5yGv7KNzvWNpIyN3xFue2NDlq6yRtre20HHylromcnmK00nfWYJqZMKMF4tnizOWrVqFQDjx493OEnfamxs5L777qOuro7s7GyuvPLKuN49TKJbe8dmAFJirMFTVvZnrPVTXHwe6emjnI4j0muMMYxKS2ZBcztr2zqjvsGztqfBMyotxeEk7qEGjwt5vF7SivpxxKxZHHHeRdhQiLqKrbtGs1SXb6Ju62aaa6pprqneNa1rp+SMTDLzC3pOhWTkF5Cek0tqVg6pWVmkZmWTkp6B8UTmAC8UCtLR3Ex7cxPtjY20NzXQ2lBPc201zbU1tNTW0FxTTVd7215/35eUTP6gwRQOHkbJiFH0Gzma7KJ+HxlCuKp8S0SyS/RInVJIU+UmWt/ZrgZPj2BrN+0Lq2h7fweBuvAfPDyQMjGf9JmlJA7MiPqhuBIb/H4/5eXlAIwcOdLZMH2osrKSBx54gJaWFoqKirjiiivibvSSxJauzkoAkpNLHE7Se1pa17Cj6imM8TF0yDecjiPS63Y2eNa0dXJ0TnT/DfqwwZPscBL3UIMnChiPh/wBg8gfMIgJJ5wMQCgYpKFyO9Wby6iv2ErD9opdo2E6W5rpbGmmetPGT75N4yExNYWk1DSSUlJJTE3Fl5yCN8FHgs+Ht+e082Bw+/ZKXlm/AhsKEfT7CQQCBP3dBP1+ujs76W5vo6u9na72Nro7O3ZtT74viSmp5JaERx7llJSSVzqAgsFDyS4sjljzSWJH2vQiml/dTNeGRjpW15EyJj6bPDYQomN1Pe2Lq+lcUw+hcO15sxJJO6yY1MOKScjSsFVxl82bNxMIBCguLo6bBse6det49NFH8fv9DBo0iEsuuYSUFH3iKNGts2sHAMlJ/RxO0justaxf90vA0r/0clJSYm9nMJGRPc2QdT3NkWi2q8GTqgbPTmrwRCmP10te/wHk9R/wkcuttbQ1NtBcU01LXQ3NPaNl2hsbaG9uoq2pkY6mRjrbWulqa6Orbe+jaPamdtXS/b5uckYmaVnZpGaGRwylZeeQWRAeTZSZX0hmfgEpmVkaTSAHzZPqI/PkwTQ9W0bDExtILE3HmxknjQwLXWVNtC+tpn1ZLbZn23g8kDw6l7QjikkelYvxqL7EncrKwut2DB8+3OEkfeP999/nhRdewFrLhAkTOOecc0hI0FswiW6hUDfd3TWAITExNja4qK19lYbG+SQkZGvnLIlZ49LDHy4sb+lwOMmhCYQsq9vC/4Yx6Wrw7KR3FzHGGEN6Ti7pObnA6E+8XigYpKuj/SMjbwJdXQR6RuUE/H6Cfj8QHg2wbt06Ro4ciTGeXaN7vD4fCQk+fMnJ4ZFAqWkkpqaSmJKCx6OFWyXy0meU0LGilu7yZmrvXkHBtRNjdjcoG7J0lzfTvryGwYs81HQt2/UzX780UqcWkTq5AG+GtogU99u2bRsAgwYNcjhJZAWDQV566SXef/99AI477jhmzZqlDzckJnR31xJ+n5iFxxP9hxShUBfrN/wGgKFDv47Pl+1sIJEImdDT4FnV1oE/ZPFF6QeC69o76QxZBiUnkuOL/v+DeoseiTjl8XpJSc8gJX3/hsY3+FKZNGtWZEOJHCDjMeRdOZaa25fi39FO9d+XkvfZsfgKUp2O1itCXUG61jfQsbqezrX1hFr9ACRg8OYmkzIhn7QphfiK0xxOKrL/gsEglZXhdTtKSmJn3Y49tbW18eijj1JeXo7H4+Hss89m8uTJTscS6TV+f1PPV7ExzXLr1v/Q0bGF1NThlJZc6nQckYjJ8iUwJCWRTR3drG3rYHxGdL5vXtrSDsCkzOjMHylq8IhIVPOm+cj/4gTq/rMSf2Ub1bctIfOUQaQfVRJ1U5SstQSq2ulc30jn+ga6yhoh8OF6VjubOqu7N3Pk2dM1CkCiUl1dHX6/n+zsbNLSYrM5WVlZyUMPPURTUxPp6elcfPHFDBgw4NN/USSK+AONPV9F/8FVZ+d2yjb9BYCRI27C44nN0cAiO03KSGVTRzdLW6K5wROenjUpSvNHiho8IhL1ErKTKLh+Eg2PraNjWS1Nz5TRvqCKjBMGkjIuz7WNHhuyBGo76Cpvoqusia4NjbtG6QBgIHFgBslj8kgZk0tCUSrGGLrmblZzR6JWfX09APn5+Q4niYzFixfz3HPPEQgEKC0t5eKLLyYzM9PpWCK9LuBv7vkq+hu169b9glCog8LC08nLO9bpOCIRNzkjlSerG1nQ3MblJdG5UcmCpvBaspMztGHB7tTgEZGY4EnyknfZGDom1dL41Eb8lW3U37+ahIKU8Po0UwpIyHZ2AbZgmx9/RSvdFS10b2mhe3MzofbAR67jyUwkeXg2ScOzSR6Zgzdda+pIbGloaAAgJyfH4SS9q7u7m+eff54lS5YAMGXKFE4//XR8Po0EkNgUCLYAYIjug6ua2teoqX0FrzeNESNucjqOSJ84IjsdgPca93/DHTdpDgRZ2dqBzximZkZ/k7k3ubbBY4y5EPgZMAY43Fq7wNlEIvErmuoxZVw+ySNzaVuwg5Y3thGo6aD5pXKaXyrHV5JG0ogckodl4ytNx5sWmQOvUFeQQE07/up2AtUd+Kvb8W9vJdjY9bHrejITSRqcSdKgTJKGZ5NQmKrRObJP0VSPe9PcHP7UPysry+EkvaempoZHH32U6upqEhISOOOMM5gyZYrTsaQPRHs9HopQqLvnq+htYgYCLaxd+1MAhg79JslJxQ4nkkMVzzV5ICakp5Dq9VDW0UV1l5/CpOiq4w+a2rDApIwUUrwep+O4imsbPMAK4HzgH04HEZHoqkfj85B+VAlphxfTub6R9kVVdKyqx7+9Df/2NlrfCO/g481KwlecijcnmYScJLxZSXhSEjApCXiSEzBeA8aQ0AGB+k6sP4j1h7D+EKH2AKE2P8E2P6HWboJNXQQaugg2dH5sVM7uuXwl6SSWpuMbkEHSoEy8OUlq6MiBiqp63FN3d/igMCkpyeEkh85aS0VFBfPmzSMQCJCXl8dFF11EUVGR09Gk70R1PR4KG9o5pTh6d07dsOH3dHVVkpExgf6lVzodR3pH3NbkgUjwGA7LTOONhhbmN7VxdmG205EOyPzGVuDDkUjyIdc2eKy1qwEd+Ii4QLTWo/F6SBmdS8roXKw/SFd5M53rG+gub8Zf2UawqYtg08dH1expMF52vPHB/t9xgiEhLwVfYSoJhan4ClPwFaeRUJDq2vWAJHpEaz3utLPBk5gY3dMPW1tbefrpp1m/fj0AEydO5IwzzoiJxpXsv2ivx0MRstHd4Kmvf4eK7Q9ijI+xY34fE1u9S3zX5IE6Kjvc4JnX0BJ1DZ63GsINnqPU4PkYY6399Gs5yBgzF/j2Jw2vM8ZcC1wLUFRUNO2hhx46qPtpbW0lPd09LxDl2bdYynP88ccvtNZO7+VIERFT9WjB1waJbZDQYfB1gLcLvH6DJwAePxgbvp61FmMM1gshL1gPhHwQTLQEEyGYCIFk8KdYAinh74ng+4pYev1HgurxI9c55Jrs7ed39erVVFVVMXr0aIqLD3w6hBteb7W1taxduxa/34/X62XUqFEUFhY6mml3bniMdneweVSPH+em5zZkX8LaRwj4jyMp6Sqn4+yyP4+RtZ2E7E+BWow5F485y9E8fSke6hFi7D3rATiQPButl5vIIJ8Qt9FMJHpikXh8mq3hOjLxAnfRRPIB5I7m52tPn1STjraqjTGvAnt7d3eTtfap/bkNa+2dwJ0A06dPt7NmzTqoLHPnzuVgfzcSlGfflKf3qR4/WTjPcU7H2MWdj88sp2Ps4rY8B6M36hF6pyZ7+/FsbW2lqqqKIUOGcMQRRzie50C0tbXxwgsvsGLFCgAGDRpEv379OPXUUx3J80ncVgNuy3OgYrkeD8XWbVtZtw58Po9rMsH+PUarVn+fyspa0tPHctj030V0W3Q3PWfgvjwHQ+9ZP9mB5DnWWv749gpq/TDgiCMZntr7m5FE4vF5oqoBu2ozM3LSOXXyga13F83P1/5ytMFjrZ3t5P2LyIdUjyLuEcv1mJIS3nGnrS16du6w1rJixQpeeOEF2tvb8fl8nHjiiRx++OG8+eabTseTCIvlejwUHrOzKbL3defcqqr6BSorH8XjSWLcuD9FtLkjkaGa7B0eY5iVm8njVQ28XtcckQZPJLxeH96sYVZupsNJ3EmTTUVERKTP5OfnA+Gdp6JBbW0tzz//PGVlZQAMHjyYs88+m9zcXIeTiTjL4915MNi9z+u5SWdnJWvWhLdCHzH8h6SnjXA4kYizZueFGzwv1DZx7QD3TDX+JP6Q5dXacIPnxDw1ePbGtXuKGWPOM8ZsA44CnjPGvOR0JpF4pXoUcY9or8eda9VUVlbi5nUAu7u7ee211/j73/9OWVkZycnJnHXWWVx11VVq7sgu0V6Ph8LnywbA0upskP0UCvlZsfIbBAJN5OUdT2np5U5HkgiI55o8GLPzMvEZw3uNbdR0+z/9Fxz2bmMrDYEgI1KTGJUWHSOO+pprR/BYa58AnnA6h4ioHkXcJNrrsaioiJSUFBobG6mtraWgoMDpSB8RCoVYsmQJr7/+Oq2t4QPXKVOmMHv2bNLS0hxOJ24T7fV4KBJ9Oxud0dHg2bjxZpqaFpCUVMzYMb/TLksxKp5r8mBkJng5Jied1+tbeKm2mStK8pyOtE/P1TQCcEZBtqM53My1I3hEREQk9ng8HkaOHAnA8uXLHU7zIWstGzZs4B//+AdPP/00ra2tlJSU8PnPf55zzjlHzR2RPfh2NXiaHc2xP6qrX2LL1n9hTALjx/+FxMR8pyOJuMaZPc2Sp6sbnA3yKQIhy/O1TQCcUZDlcBr3cu0IHhEREYlNU6dOZenSpbz//vvMnDmTpKQkx7JYaykrK2Pu3Lls3boVgKysLE488UTGjx+Px6PPwkT2JimpCGO8WNtIMNiF1+tcHe9La+s6Vq3+LgDDh3+f7KxpDicScZfTC7L4/rptvNXQyvbObkqSE52OtFdz6pup6Q4wPDWJ8ekpTsdxLTV4REREpE8NHDiQAQMGsHXrVubMmePINuOhUIj169fz9ttvs2XLFiC8w9fMmTM54ogj8Pm0s47Ivng8PpKT+9PRsZmOzi2uXLC4u7uepcuuJRhspbDwdAb0v9rpSCKuk+1L4JT8LJ6paeR/VQ18bVCR05H26pEd4RFGFxXnaorlPqjBIyIiIn3KGMOpp57KXXfdxfz58xk6dOiuaVuR5vf7WbZsGe+++y61tbVAuLEzY8YMDj/8cEdHE4lEm9SUQXR0bKa9vcx1DZ5QqJvlK75MZ+dWMjImMHbMH3RQKPIJLirO4ZmaRh7ZUc9XBxa6rlYa/AFeqm3CAJ8pynE6jqupwSMiIiJ9rrS0lFmzZjFnzhweeeQRLr30UoYNGxax+9uxYwcLFy5k2bJldHV1AZCZmckRRxzBtGnTSE7WbhwiByo9Yyx19W/S0rycwoJTnI6zi7UhVq/5AY2N75OYWMjEiXfg9WpKh8gnOT43k6LEBDa0d/F2YytH52Q4HekjHqysp9taZuVkuHYKmVuowSMiIiKOOPbYY2lubmbhwoX897//ZdasWcycOZOEhN55e1JXV8eqVatYuXIlO3bs2HV5SUkJRx55JOPGjcPr9fbKfYnEo8zMiQA0Ny9zOMlHbdjwO3bseBKvN5VJE/9BclKx05FEXC3BY7iqJJ+by3fwr221rmrwBK3l3xXhEbef768F0j+NGjwiIiLiCGMMZ5xxBikpKcybN485c+awePFijjnmGMaNG3fAo2q6u7vZvHkzZWVlbNy4kerq6l0/S05OZuLEiUydOpXiYh3sifSGrMzJADQ1LyUU8uPxOL92Vci+yJatj2JMAhPG/31XE0pE9u2q0jxu3VzFS7VNbO7oYlCKO6Ysv1LbzNbObganJDI7L9PpOK6nBo+IiIg4xuPxMHv2bIYMGcILL7xAbW0tzzzzDM8//zyDBw+mtLSUoqIi0tLSSElJoa2tjcrKSjo7O2lubqapqYmamhoqKyupq6vDWrvrtpOSkhg1ahRjx45l2LBhWjhZpJclJRUBJQSD22ls/IDc3BmO5tm67V6sfRSAsWNuJi/vGEfziESTgkQf5xRm87+qBu7YWsNvR/Z3OhLWWv66pQqAz5Xm43HZ2kBupAaPiIiIOG7YsGF86UtfYvny5SxevJjy8nI2btzIxo0bP3bdDz74YK+3YYyhpKSEYcOGMXToUAYMGNBr071EZO8Mk7Bsp7budUcbPFu33cu6dT8HYNTIn1NcfLZjWUSi1VcGFfJYVQP3b6/ja4MK6Zfk7Ho3bzW0sqC5nVyflyv65TmaJVroXY+IiIi4gsfjYdKkSUyaNImWlha2bNnC9u3bqa2tpaOjg/b2dtrb28nMzMTn85GVlUVmZiZ5eXkUFxdTWFioUToifcyYyVj7AlVVzzJ82Pccmaa1Zcu/WL/hNz15Lqd//yv6PINILBidlsKZBdk8U9PI37ZU86sRzo3isdbyx/Lw+nk3DCgkLUFr5u0PNXhERETEdTIyMhg3bhzjxo37yOVz585l1qxZzoQSkb0YRmrqcNrbN1Bb+zqFhX23m5a1ITZs/D1bttwFhEfubNjg/LQSkWj2zcFFPFPTyL0VdXyxfwGDHVqL55W6Zt5raiMnwcvnSrW48v7yOB1ARERERESikzGG0tJLANiy9a6PrIMVScFgF6tWfZstW+7CmATGjf2TRu6I9IKx6SlcWJxDt7X8cuN2RzJ0h0L8bEP4vm8cXEy6Ru/sNzV4RERERETkoJX0uxCfL5empkXU1c2N+P11dlayaPGl7Kh6qmcr9LsoLj4n4vcrEi9+OLQfKR4Pz9U0Ma+hpc/v/1/bainr6GJ4ahJXa/TOAVGDR0REREREDlpCQjqDB90AwPoNvyYY7IjYfTU0zOeDBefS3LyU5ORSpk19WLtlifSyfkmJfH1QIQDfWrOVtmCwz+57U3sXf9hUCcBPh5Xg82jnrAOhBo+IiIiIiByS0tLLSUsbQXv7JjZs/EOv334o1MX6Db9l0eIr6O6uJSfnKA6b/iQZGWN7/b5EBL40sJCxacls7uzmt2WVfXKfIWu5ce0WOkKW84tyOCk/q0/uN5aowSMiIiIiIofE601i7NhbMCaBbdvuZVvFA7122w2NH/D+B+f2rLfjYcjgrzJ50j0kJub22n2IyEclejz8ecxAvAbu2lbLy7VNEb/P2zZX825jG/m+BH41ojTi9xeL1OAREREREZFDlpkxnlEjfwbA2rU/OeQmT0fHNlauvJFFiy6hrW0dKSmDmDb1YYYO/QYejzYDFom0CRmpfH9IPwC+unoLmzu6InZfc+ub+V3P1Kxbxwwk16caPxhq8IiIiIiISK8oLb2UYUO/BVjWrv0xq1Z/j+7u+gO6jda29axa/T3enX8iO6qewuNJYsiQr3PE4c+TlTUlMsFFZK++PLCQU/IzaQoEuXLZJur9gV6/j9WtHVy/cjMW+NbgImbnZfb6fcQLtcVERERERKTXDB78JZKSilmz9iYqK/9HTc3LlJZeTr/ic0lNHYYxH1001doQbW3rqW94h6odT9PcsqznJx6Ki85h6NBvkpIyoO//ISKCxxj+MnogZy3awLr2Ti5fWsajk4f12tblmzu6uGTpRhoDQU7Nz+Rbg4t75XbjlRo8IiIiIiLSq/r1O5+MjPGsX/9r6hvmsXnz7WzefDs+Xw5paSPwetMwGLq6qujo3Eog0Lzrd73edIqLzmLgwGtITR3k4L9CRACyfAk8PHkoZy/awOKWdj6zZCP3TRxCQaLvkG53ZWsHVywro6o7wIzsdO4YOxiP0a5Zh0INHhERERER6XXp6SOZPPkeGhs/oHLH49TUvILf30Bj4/sfu25SUjE52UeSlz+LgvyT8HqTHUgsIp+kX1Iij04exkVLNrKkpZ0zFq7nrvGDmZiRelC390JNI19dvYXWYIgjs9L4z4QhJHu1gsyhUoNHREREREQiwhhDTs7h5OQcjh39W7q6Kmlv30Qw1Ak2SGJSEclJJSQm5n9s6paIuMvglCSemzaCK5aVsbSlg9MXruPGwcXcMKCQlP1sztR1B/jlxu08tCO8NtfZhdn8ZfRANXd6iRo8IiIiIiISccYYkpNLSE4ucTqKiBykgkQfT04Zwa/LtnPXtlr+sGkH91bU8aWBBZxXlPOJ07Y2tXfx0I567tpWQ1swRJLHcNPQfnyxf4GmZfUiNXhEREREREREZL+keD38akR/Ts3P4ucbtrO8tYOfbNjOzzZsZ1JGKqPTkynwJbDZJvPIqs2sbO1gbVvnrt8/ITeDnw4vZVSapmL2NjV4REREREREROSAHJ2TwUvTR/JibRMPVtYzt76FxS3tLG5p77lGMlQ1AJDu9XBqfhafLc3nsKw050LHODV4REREREREROSAeYzh9IJsTi/IpskfYHnPaJ2WQJBNmzZx+KiRjEpLZnx6itbZ6QNq8IiIiIiIiIjIIcnyJXB0TgZH52QAMLd8DbNK8hxOFV9c20IzxtxsjFljjFlmjHnCGJPtdCaReKV6FHEP1aOIe6geRdxFNSnxzrUNHuAVYLy1diKwDviBw3lE4pnqUcQ9VI8i7qF6FHEX1aTENdc2eKy1L1trAz3fzgf6O5lHJJ6pHkXcQ/Uo4h6qRxF3UU1KvDPWWqczfCpjzDPAw9ba/+7lZ9cC1wIUFRVNe+ihhw7qPlpbW0lPTz+knL1JefYtlvIcf/zxC62103s5UsSoHp2nPPumevzIzw+5JmPp+Y0Et+UB92U62Dyqx49z23ML7sukPPsWL/UIes/qBsqzbxF5z2qtdewEvAqs2MvpnN2ucxPwBD3NqH2dpk2bZg/WnDlzDvp3I0F59i2W8gALrIN1uPOkevxkyrNvsZQnVuvRHkJNxtLzGwluy2Ot+zIdbB7V48e57bm11n2ZlGffor0ebQRqUu9ZI0d59i0S71kd3UXLWjt7Xz83xnwWOBM4secfISIRonoUcQ/Vo4h7qB5F3EU1KfLJXLtNujHmVOB7wHHW2nan84jEM9WjiHuoHkXcQ/Uo4i6qSYl3rl1kGfgrkAG8YoxZYoy5w+lAInFM9SjiHqpHEfdQPYq4i2pS4pprR/BYa4c7nUFEwlSPIu6hehRxD9WjiLuoJiXeuXkEj4iIiIiIiIiI7Ac1eEREREREREREopwaPCIiIiIiIiIiUU4NHhERERERERGRKKcGj4iIiIiIiIhIlFODR0REREREREQkyqnBIyIiIiIiIiIS5dTgERERERERERGJcsZa63SGXmOMqQE2H+Sv5wO1vRjnUCnPvsVSnkHW2oLeDOMGqseIUp59Uz3uxSHUZCw9v5HgtjzgvkwHm0f1+HFue27BfZmUZ99Uj3vQe9aIUp596/X3rDHV4DkUxpgF1trpTufYSXn2TXlim9seT+XZN+WJbW57PJXn07ktk9vyRDM3PpZuy6Q8++a2PNHObY+n8uxbPOTRFC0RERERERERkSinBo+IiIiIiIiISJRTg+dDdzodYA/Ks2/KE9vc9ngqz74pT2xz2+OpPJ/ObZnclieaufGxdFsm5dk3t+WJdm57PJVn32I+j9bgERERERERERGJchrBIyIiIiIiIiIS5dTgERERERERERGJcmrw9DDG3GyMWWOMWWaMecIYk+2CTBcaY1YaY0LGGEe2czPGnGqMWWuM2WCM+b4TGfbIc7cxptoYs8LpLADGmAHGmDnGmNU9z9XXnc4UK9xWk26ox54crqlJ1WP8UD1+Yg7V4ydQPUaO6vETc7imHnvyuKYmVY+R47Z67MnkeE2qHvctkjWpBs+HXgHGW2snAuuAHzicB2AFcD7wphN3bozxAn8DTgPGApcaY8Y6kWU39wCnOpxhdwHgW9baMcCRwJdd8BjFCrfVpKP1CK6syXtQPcYL1eMeVI+fSvUYOarHPbiwHsFdNal6jBy31SPoGHJv7sE99QgRrEk1eHpYa1+21gZ6vp0P9HcyD4C1drW1dq2DEQ4HNlhry6y13cBDwDkO5sFa+yZQ72SG3VlrK621i3q+bgFWA6XOpooNbqtJF9QjuKwmVY/xQ/W4V6rHfVA9Ro7qca9cVY/grppUPUaO2+oRXFGTqsdPEcmaVINn7z4PvOB0CBcoBbbu9v029MfgExljBgNTgPccjhKLVJNhqsn9pHqMKNVjmOpxP6keI0r1GKZ63E+qx4hSPYapHg9Ab9dkQm/cSLQwxrwKFO/lRzdZa5/quc5NhIdM3e+WTA4ye7nM9nmKKGCMSQceA75hrW12Ok+0cFtNurweQTW5X1SPB0f1eMBUj/tB9XhwVI8HTPW4H1SPB8dt9bi/mRyketxPkajJuGrwWGtn7+vnxpjPAmcCJ1pr++RF+GmZHLYNGLDb9/2B7Q5lcS1jjI9wYd5vrX3c6TzRxG016fJ6BNXkp1I9HjzV4wFTPX4K1ePBUz0eMNXjp1A9Hjy31eP+ZHKY6nE/RKomNUWrhzHmVOB7wNnW2nan87jEB8AIY8wQY0wicAnwtMOZXMUYY4B/AauttX9yOk8sUU3ulWpyH1SPkaN63CvV4z6oHiNH9bhXqsd9UD1Gjupxr1SPnyKSNakGz4f+CmQArxhjlhhj7nA6kDHmPGPMNuAo4DljzEt9ef89C4Z9BXiJ8MJPj1hrV/Zlhj0ZYx4E3gVGGWO2GWO+4GQeYCZwJXBCz+tmiTHmdIczxQpX1aTT9Qjuq0nVY1xRPe5B9fipVI+Ro3rcg9vqEVxXk6rHyHFVPYLzNal63C8Rq0nTR6PIREREREREREQkQjSCR0REREREREQkyqnBIyIiIiIiIiIS5dTgERERERERERGJcmrwiIiIiIiIiIhEOTV4RERERERERESinBo8IiIiIiIiIiJRTg0eEREREREREZEopwaPfIwx5nVjjN3L6Tmns4nEG9WjiHuoHkXcQ/Uo4i6qSXcw1lqnM4jLGGMagJuBu/f4Ubu1ttmBSCJxS/Uo4h6qRxH3UD2KuItq0h0SnA4g7mKMGQZkA29Ya3c4HEckrqkeRdxD9SjiHqpHEXdRTbqHpmjJnqYBQWCx00FERPUo4iKqRxH3UD2KuItq0iXU4JE9TQO8QLUxpnW306NOBxOJQ6pHEfdQPYq4h+pRxF1Uky6hNXjkI4wxrwKNwPf3+FGTtbam7xOJxC/Vo4h7qB5F3EP1KOIuqkn30Age2dMU4G1r7YY9TjUAxpi3jTFH9nx9pzHm246mFYltqkcR91A9iriH6lHEXVSTLqFFlmUXY8wQIJd9z538OfDDni6tz1p7S5+EE4kzqkcR91A9iriH6lHEXVST7qIpWrKLMeYzwKPAGMJD7HZXa60N9FzvfaAdONla292nIUXihOpRxD1UjyLuoXoUcRfVpLtoBI/sblrP+eo9LreEu7KNxpipQD6wQoUpElGqRxH3UD2KuIfqUcRdVJMuohE8st+MMSXA88D5wMPANdbaJY6GEolTqkcR91A9iriH6lHEXVSTfUuLLMt+McakEB5693VrbRnwG+DHzqYSiU+qRxH3UD2KuIfqUcRdVJN9TyN4RERERERERESinEbwiIiIiIiIiIhEOTV4RERERERERESinBo8IiIiIiIiIiJRTg0eEREREREREZEopwaPiIiIiIiIiEiUU4NHRERERERERCTKqcEjIiIiIiIiIhLl1OAREREREREREYlyavCIiIiIiIiIiEQ5NXhERERERERERKKcGjwiIiIiIiIiIlFODR4RERERERERkSinBo+IiIiIiIiISJRTg0dEREREREREJMqpwSMiIiIiIiIiEuXU4BERERERERERiXJq8IiIiIiIiIiIRDk1eEREREREREREopwaPCIiIiIiIiIiUU4NHhERERERERGRKKcGj4iIiIiIiIhIlFODR0REREREREQkyqnBIyIiIiIiIiIS5dTgERERERERERGJcmrwiIiIiIiIiIhEOTV4RERERERERESinBo8IiIiIiIiIiJRTg0eEREREREREZEopwaPiIiIiIiIiEiUU4NHRERERERERCTKqcEjIiIiIiIiIhLl1OAREREREREREYlyavCIiIiIiIiIiEQ5NXhERERERERERKKcGjwiIiIiIiIiIlFODR4RERERERERkSinBo+IiIiIiIiISJRTg0dEREREREREJMqpwSMiIiIiIiIiEuXU4BERERERERERiXJq8IiIiIiIiIiIRDk1eEREREREREREopwaPCIiIiIiIiIiUU4NHhERERERERGRKKcGj4iIiIiIiIhIlFODR0REREREREQkyqnBIyIiIiIiIiIS5dTgERERERERERGJcmrwiIiIiIiIiIhEOTV4Yogx5mfGGLvb6WinM+2NMebF3XM6nUckElSPIu6hehRxD9WjiLuoJmOLGjyx6ZvAlcDanRcYY0YaY35hjJlvjKkxxrQYY5YYY24yxqQd6h0aYzzGmG8aY9YYYzqNMVuNMX/8hNv+Q0++tw71fkWigBP1+ANjzKPGmLKeP4Ll+7i66lHiSZ/W40HctupR4klf1+MoY8z9xpjVxpgmY0x7z/vWPxlj+u3lV1SPEm/6/D3r7owxqcaYTT3vXf+6l6uoJvdDgtMBJCKetNaW73HZ54EvA08D9wN+4HjgV8BFxpgjrbUdh3Cf/wd8DXgC+CMwpuf7KcaY2dba0M4rWmtfBzDGzAaOOYT7FIkGTtTjb4B6YBGQva8rqh4lzvR1PR7QbaseJc70dT32B/oRfq+6DQgAE4BrgUuMMZOttdU7r6x6lDjkxHvW3f0CyP+kH6om948aPPHjf8BvrbVNu112hzFmPXAT8AVgb53ST2WMGQd8FXjcWnvBbpdvAv4CXAI8cLDBRWJQxOqxxzBrbRmAMWYFkH4ItyUS6yJZj5GudZFYE7Gasda+Bry25+XGmDeBR4CrCY8QEJEP9cnfMWPMVOAbwHcJDxaQg6QpWnHCWrtgj8Lc6eGe8/GHcPOXAga4dY/L/wm0A1ccwm2LxJwI1yM7mzsi8ukiWY+RrnWRWONQzWzuOc+JwG2LRLW+qEljjJfwceOLwOOHenvxTiN4pH/PedUh3MZhQAh4f/cLrbWdxpglPT8XkU/XG/UoIr0jkvWoWhc5ML1WM8aYZMIjW5OBscDve370/KHetkgc6c2/Y98ERgMXfNoV5dNpBE8c6+mW/oTwHORDmUJVAtRaa7v28rMKIN8Yk3gIty8S83qxHkXkEEWyHlXrIgcmAjXzRaAG2Aq8RHituiustVq4VWQ/9GZNGmOGAD8HfrGX9X/kIGgET3y7FTgS+KG1du2nXHdfUoG9NXcAOne7Tvch3IdIrLuV3qlHETl0txK5eozkbYvEolvp3Zp5ElhDeBTPFOBsoKAXblckXtxK79Xk7cAm4E+HGkrC1OCJU8aYXwJfAe601v72EG+uHSj8hJ8l73YdEdmLXq5HETkEkaxH1brIgYlEzVhrtxHeRQvgSWPMY8AHxpgU1aXIvvVmTRpjrgBOBo611vp7I59oilZcMsb8DPgR8G/g+l64ye2Ep2El7eVnpYSnb2n0jsheRKAeReQgRbIeVesiB6avasZauwxYDHwpUvchEgt6syZ7jhv/RHjtqx3GmOHGmOHAoJ6rZPVcln0o9xOP1OCJM8aYnwI/Be4Fvmittb1wsx8Qfi0dvsd9JQOTgQW9cB8iMSdC9SgiByGS9ahaFzkwDtRMCpAb4fsQiVoRqMkUwlMjzwDW73aa2/PzK3q+/+Ih3k/c0RStOGKM+QnwM+A+4HPW2lAv3fTDwA+BbwC7L1B3DeG1d+7vpfsRiRkRrEcROUCRrEfVusiBiVTNGGOKrbU79nL58YS3ep7bG/cjEmsiVJNtwIV7ubwA+DvhLdP/BSzrhfuKK2rwxAljzJcJr1C+BXgVuMwYs/tVqqy1r+x2/asJD7/7ubX2Z/u6bWvtcmPM34CvGGMeJzzUbgzwNeANtEuIyEdEsh57rn8lHw5xLQASjTE/6vl+s7X2vkP9N4jEikjW44Hetki8i/Dfx9uNMf2A14HNhNeJnAZcArQA3+qdf4VI7IhUTfasufO/vdzf4J4vN1prP/Zz+XRq8MSPw3rOBwL/2cvP3wB2f5OZ0XNesZ+3/w2gHLiW8FC7WuA24Cf6tFLkYyJdj18Ajtvjsl/udttq8Ih8KJL1eKC3LRLvIlmPDwKfBa4k/OGHJdzo+Qdws7V2y8EEFolxkX7PKr1MDZ7YlGOMaQUarbUBAGvt1cDVB3AbxwMbgHv258rW2iDwx57TPhljMoFEYG+LMovEGifqcdb+3rDqUeJMn9bjgd626lHiTF/X4yPAI/t7w6pHiUN9/p51T9bacsDs7Weqyf2jBk9sWtRzfgww70B/2RiTAJwAfCFCW9Y9ApwSgdsVcSPVo4h7qB5F3EP1KOIuqskYYLSRQ+wwxgwFhu520QfW2ian8nwSY8xkIH/n99baV51LIxIZqkcR91A9iriH6lHEXVSTsUUNHhERERERERGRKOdxOoCIiIiIiIiIiByamFqDJz8/3w4ePPigfretrY20tLTeDXQIlGffYinPwoULa621Bb0cyXGqx8hRnn1TPe7dwdZkLD2/keC2POC+TAebR/X4cW57bsF9mZRn31SPH6f3rJGjPPsWkfes1tqYOU2bNs0erDlz5hz070aC8uxbLOUBFlgX1E9vn1SPkaM8+6Z67N2ajKXnNxLclsda92U62Dyqx49z23NrrfsyKc++qR57rx6tjZ3nN1KUZ98i8Z5VU7RERERERERERKKcGjwiIiIiIiIiIlFODR4RERERERERkSinBo+IiIiIiIiISJRTg0dEREREREREJMqpwSMiIiIiIiIiEuXU4BERERERERERiXJq8IiIiIiIiIiIRDk1eEREREREREREopyrGzzGmAHGmDnGmNXGmJXGmK87nUkkXqkeRdxD9SjiHqpHEXdRTUo8S3A6wKcIAN+y1i4yxmQAC40xr1hrVzkdTCQOqR5F3EP1KOIeqkcRd1FNStxy9Qgea22ltXZRz9ctwGqg1NlUIvFJ9SjiHqpHEfdQPYq4i2pS4pmx1jqdYb8YYwYDbwLjrbXNu11+LXAtQFFR0bSHHnrooG6/tbWV9PT0XkjaO5Rn32Ipz/HHH7/QWju9lyNFlOrRWcqzb6rHj/zskGsylp7fSHBbHnBfpoPNo3r8OLc9t+C+TMqzb/FUj6D3rE5Tnn2LyHtWa63rT0A6sBA4f1/XmzZtmj1Yc+bMOejfjQTl2bdYygMssC6os/09qR6dpzz7pnrs3ZqMpec3EtyWx1r3ZTrYPKrHj3Pbc2ut+zIpz77FSz3aA6hJvWeNHOXZt0i8Z3X1FC0AY4wPeAy431r7uNN5ROKZ6lHEPVSPIu6hehRxF9WkxCtXN3iMMQb4F7DaWvsnp/OIxDPVo4h7qB5F3EP1KOIuqkmJZ65u8AAzgSuBE4wxS3pOpzsdSiROqR5F3EP1KOIeqkcRd1FNStxy9Tbp1tp5gHE6h4ioHkXcRPUo4h6qRxF3UU1KPHP7CB4REREREREREfkUavCIiIiIiIiIiEQ5NXhERERERERERKKcGjwiIiIiIiIiIlFODR4RERERERERkSinBo+IiIiIiIiISJRTg0dEREREREREJMqpwSMiIiIiIiIiEuXU4BERERERERERiXJq8IiIiIiIiIiIRDk1eEREREREREREopwaPCIiIiIiIiIiUU4NHhERERERERGRKKcGj4iIiIiIiIhIlEtwOoC4h7WW2tZuGtq7aWz309jeTYc/CMDq7QGallSQlphAdqqP7FQfuWlJ5KT6MMY4nFwkRnU0QlsNdDSEv+5qBqCwahUsr4WEJEjJgeRsSM2F9GLwqG8vEgkdgQ5q22tp7m6mqauJZn8zoVCIVW2raC9rx+vxkpWURWZiJllJWRSmFOLz+pyOLRKTrN9PoKaGYFNT+NTYhA0EAEhevYrm9nY8GRl4s7LwZmWRkJ+PJy3N4dQiscmGLO0t3XS2+ulq99PZFiDQcwzZtNmy7oMdJCYlkJTmIyk1gdSMRJLSEnQMGSFq8MSputYulmxtZOnWRtZVtVJe18bmuvZdDZ29WrbkYxdlJCUwKD+VQXlpjC7KYPLAbCb2zyYrRW9qRfZbVytULoWKBbBjOdSXhU8dDXu9+liA1Xv5gTcJcgZD7lAoGAWl08KnrNIIhheJLf6Qnw0NG1heu5xVdavY3LyZLS1bqG6v/uRfeuvjF3mMh35p/RiQMYDBmYMZlz+OifkTGZw1GI9RI1Zkf1hr8W/ZQseyZXQsX073pnK6N2/GX1EBwb2/Z80CKvZyubcgn8SBg0gcOJDksWNJmTSRpNGj8SQmRvTfIBJL2pu7qdrURFV5M/Xb22iq6aC5poOAP/SJv7Pt3VUfuywxJYGsghSyClPIK02naEgmhYMySUpRe+JQ6RGME21dAd7eUMvcdTXMW1/Llvr2vV4vK8VHfnoi2amJZKf4SEn0YoyhuqqKgsJC2roCNHb4aWr3U9PSRUtXgBUVzayoaOY5KnfdzvDCdI4Zkc/xowo5fEguyT5vX/1TRdwvGIBt78P6V2DDq1C1Auxe/jD6UiGjODxKJyUHkjLAeKiqrqaooAACneGRPR0N4ZE+7bVQuzZ8WvfCh7eT0Q+GzoLhs2HYCeHRPiIChA8gNzRuYF7FPOZVzGNZzTI6g50fu16CSaAwtTA8Sicpk8zETBJMAlXVVRQVFuEP+XeN7mnoaqC2o5aK1goqWiuYXzkf1oZvJ92XzrSiaRxdejRHlx5N/4z+ffwvFnE3f1UVbW+9Resbb9L+/vsEm5r2er2EggK8OTl4s7LwZGXiSUwCoLq6moL8fELNzbtG+ASqqgjW1NJRU0vHwoU0PfEEAMbnI3nCBNKPPYa0Y44hecwYjEbCiuzS3RFg65p6tqyoY+vqBlrqP/73ESApLTwyJznNR1Kaj4REDwaoqq6msKCQ7s4gXe1+utoDtDV10d0RoGZLCzVbWtiwoOcDFAO5/dIYMDaXQePyKBmejdenejxQavDEsI7uIC+v2sGTiyuYt6EWf9Du+lmKz8uE/llMGZDN2JJMhuSnMSg3jazUvY+8mTt3LrNmTf3IZdZaGtr9lNe1sammjRXbm1iytZGV25vZUN3KhupW/v12OSk+L8ePLuC8Kf05bmQBiQkqVIlDoRCUvwXLHobVz0LXbm9YjReKJ0L/6dBvMuSPCI/CSS+CvQxfXT13LkWzZn38PrpaoH4T1G+EqpWwbQFULIKWSlj6YPhkPDDwKJh4MYw9B1KyI/UvFnG19Q3reabsGV7c9CKVbZUf+dnAjIFMKJjA+LzxDM0ayoDMAfRL60eC5+Nvm+bOncus42Z97PLuYDcVrRVsbdnK+ob1rKhdwfLa5VS1V/HGtjd4Y9sbAAzLGsbpQ0/nzKFnUpJeEpF/q4jb+auraX72OZqefYauVR8dourNzydl4kRSJownadQoEgcOxNe/P57k5L3e1vq5c5myx99IGwwSqKqie8sWujZupHP5ivCIoI0b6Vi0iI5Fi6i59c94C/LJPPU0ss4+m+Tx4zSFROKSvytI2ZIa1r63g4o1DYRCHx5D+pK8FA7OoGhwJvn9M8gqTCGrIIWkfR5Djv/IZdZaOlr8NNV00FjVTs2WFqrKm6nd1kL99jbqt7ex9NWtJCR5GTIhj5FHFDNwbC4er44h94caPDFodWUz97xdznPLK2ntCs9H9hiYOjCbWaMKmTWqgLH9Mkk4xCIxxpCblkhuWiJTB+ZwwbTwp5DdgRBLtzUyd201c9fWsHJ7M88v38Hzy3eQk+rj3CmlXD1jMIPyNBda4kDLDvjgLljyADTvNmg8bwSMOCk8qmbgUZCYeuj3lZQB/SaGT+POC18WCkHNmvBIoQ2vwOZ3YfPb4dPz34HRp8Ph18HAI/faTBKJJR2BDp7Z+AyPrnuUNfVrdl2el5zHzNKZHFN6DEf0O4Kc5JxDvq9EbyJDsoYwJGsIx/Y/dtflO9p28O72d3mr4i3mb5/PxqaN3Lb4Nm5bfBvTiqZxyahLmD1o9l6bSSKxxIZCtM59g4YHHqDtnXfCf68Ak5JC2pFHhkfVHH00vv79D7nRYrxefCUl+EpKSDvyyF2XB5ubaXvvPdrefIvWt94isGMHDffdR8N995E4dCjZn/kM2Rd+Bm9GxiHdv0g0qNnSwrLXt7JhcQ2BrvAUSGOg3/AsBo7LY9C4PPL6p+PxHGI9GkNqZiKpmYn0G5bFmBn9AAj6Q+zY1MSWlXVsXlFPXUUr6xdUs35BNSkZPkYdUcyEWf3JzE855H9rLNO7hxhhrWXuuhr+9dYm5m2o3XX5pAHZnD+llDMn9iMvPalPsiQmeDhscC6HDc7lO6eMprKpg6eWbOfxRdtYVxUe1XPPO+WcPLaILx4zlMMGa7qIxKAdK+Ddv8HyRyHkD1+WPSg8cmbixZA/vG9yeDxQNDZ8mvk16GyG1c/Asodg01uw8onwqWQqHPVlGHsuePWnQWJLbUctD6x+gEfWPUJTz+i5jMQMThl8CmcNPYvJhZP7bF2c4rRizhtxHueNOA9/yM+729/l2Y3P8vrW11lYtZCFVQvpl9aPy8dczgUjLiA9Mb1Pcon0lVBHB01PPkn9Pf+he/Pm8IU+H+knHE/W2WeTftxxeJL65j2rNzOTzJNOIvOkk7DW0rliJU1PP03zc8/RXVZG9R/+QO3f/kb2Zz5DzpVXkthfa9pJbLEhS/nyWpa8upXt6xt3XV48NItRRxYzfGohyel9s7aq1+ehdGQOpSNzOOo8aK7rYN37Vax7bwcNO9pZ8upWlr62laFTCpl80gCKh2T1Sa5oo3fxMeCdjbX8/sW1LN3aCEBqopeLpg/giiMHMbzQ+TeG/bJSuP64YVx37FBWbm/mP++U89SS7by0soqXVlZxzIh8vnvKaCb0V5FKDKjdAHN+FW6aAGBgzFlwxPUwaKbzo2SSM2HK5eFT0zZYeA988C/Yvgge+wLM/R2c+GMYc7bzWUUOUVNXE3evuJsHVj+wa12dCfkTuHLslZww8ASSvH1zEPlJfB4fx/Y/lmP7H0trdyvPb3qe+1bdR3lzObcsuIV/Lv8n10y4hotHXUxywt6no4hEC+v30/jYY9T+7e8EamoA8JWUkHPllWSdew4JOYc+cu5QGGNImTCelAnjKfrud2h9803q772P9vfeo/4//6H+/vvJuegi8m+4noSCAkezihwqay1bV9Xz7pMbqd3aCoAv2cvYo0sYf2wp2YW9MLL8EGXmpTD9tMFMO3UQ1eUtLJu7lQ0fVLNxUfg0aHweR547lPz+GmG3OzV4otjaHS386rlVvLU+PGInPz2Ja44ZwiWHD3TlLlbGGMaXZnHzhZP4zqmjuO/dzdzzTjlvra/lrfXzOGNCP75/2mgG5Dr/H4rIAWurhdd/CYvuAxsM72g17Wo48vrwejpulNUfTvgRHH1jeETP23+GuvXwyFXhET2n/BoGzXA6pcgB8wf93Lf6Pu5afhct3S0AnDDgBD43/nNMKpjkynU10hPTuWjURXxm5Gd4a9tb3L3ibhZVL+KWBbdw36r7+MqUr3DOsHNcmV1kX6y1tLz8CtV/+iP+zVsASB47lrxrvkjGSSdhEtx3OGJ8PjJOPJGME0+kc9Uq6v59D83PPUfDAw/Q+MQT5F79WfKvuQZPqt6zSvSp2dLC2/9bT8W6RgDSshKZfNJAxs4sIdGFu1gZYygakslJQ8Zx1LnDWT53K8vnVrB5RR2bV9YxYnoRR503jIxcfRACavBEpY7uIH95fT3/fLOMQMiSkZTA9bOG8bmZg0lNjI6ntDAjmW+dPIovHD2E2+du5J53wmsGvbamim/OHsnnjx6CTwtpSTSwFpbcDy//KLyblfHA1KvguO9Hz/bkiakw/fMw+QpYfC/M/X14RM+/T4MpV8JJv9DOWxI1FlYt5Bfv/oKypjIAjig+gm9M+wbj88d/ym+6g8d4OG7AcRzb/1jmVczjz4v+zNqGtfz47R/z5IYn+cmRP2FotkubxiJ76N5WQdUvf0nrG+FFxRMHD6bgG98g45STo6ZZmTx2LKU3/4H8a6+h+tY/0/raa9TdfgfNTz9D8U9/Qvqxx376jYi4QHdngPef2cSy17diLSSlJjD11EFMnNWfhMTo2PE4PSeJo84bzuTZA1n4wmaWv7mN9R9UUb6sliPOHsqE4/sf8hpB0S46ugGyyzsba/neY8vYWt+BMXDFkQP51kmjyElLdDraQclOTeQHp4/h6pmD+c3za3hm6XZ++8IanlhcwS0XTmJ8qaZtiYvVb4KnvgKb54W/HzoLTrsZCkY6GuugJSTCYV+ESZfCvFth3v/B4vtg7Qtw+s0w/nynE4p8ojZ/Gzd/cDOPrX8MCO+E9cMjfsjM0pkOJzs4xhiO6X8MM0tn8lzZc9yy4BYWVi3kgmcu4JoJ13DtxGu1ELO4lg2FqL/3Xmr+/BdsRweejAwKvvkNci66yJUjdvZH0ogRDPjbX2lftIgdv/glXWvWsPXa68g47VSKf/ITx6eYiezL5pV1zP3vGlobujAGJp0wgMPOHPyJu1+5XUpGIkdfNIKJJ/Tn7cc2ULa4hnmPrmftezs48bNjyCt1fpkSp2iIRJTwB0Pc/NIaLr/rPbbWdzC6OIPHb5jBr86dELXNnd31y0rhtkuncM/nDmNAbgprdrRw/t/f4V/zNmGt/fQbEOlry/8HdxwTbu6k5sP5/4Qrn4ze5s7uEtPghJvghnfC6wa118L/PgdPfRm625xOJ/IxK+tWcvGzF/PY+sdI8CRw/aTrefycx6O2ubM7j/Fw1rCzePrcp7lgxAUEQgFuX3o7V794NRWtFZ9+AyJ9LFBTw9ZrrqX6d7/HdnSQefppDH3uWXIvuyxqmzu7S506lSGPPkLhd76DSUmh5YUX2XTuebS9977T0UQ+JugPMe9/63n2tqW0NnRRMDCDC39wGEdfNCJqmzu7y8xP4bTrJnD6DRNIz0miZksLj/5uASve2Ba3x5Bq8ESBisYOLvrHu/xtzkYM8LUTR/DMV49mysDY+6Rg1qhCXv7GcVx55CC6gyF++ewqPnfPBzS0dTsdTSTM3wFPfim8IHF3S3gB5a98ABMvir1FiQtGwtXPwRl/hIRkWPxf+Mex4R3CRFzAWst9q+7jiuevYHPzZkbkjODRMx/ly5O/7PgCyr0tKymLn834GXefcjeFqYUsrVnKhU9fyCubX3E6msgube+8Q9m559H29tt4s7Pp//e/UfqnP+ErLHQ6Wq8yPh95X/g8Q595mpTJkwlUVbHl6qup+ctfsMGg0/FEAGiqaeexmxey9NWtGI/hyHOH8pnvT6dgYOwtSjxkUgGX/vQIxszsR9Af4o0H1/HCHcvpavc7Ha3PqcHjcou2NHDOX+exeEsjJVnJPHTtUdx40siYXp8mJdHLL88dzz+unEZ2qo+5a2s49+9vs6G61eloEu9adsC/Tw+vuZOQDGf+H1x0X2yvT2NMeNrWNXOgYAzUbYB/nQxrnnc6mcS57mA3P377x/zhgz8QCAW4dPSlPHjGgwzPGe50tIg6rPgwHjvrMU4YcAIt/hZunHsjty+5PW4/qRT3qP/v/Wz54jUE6+pIPeIIhjz1JBknnOB0rIhK7N+fQf+9j7wbrgeg9u+3s+2rXyPUptGu4qyKdQ08+rsF1GxpITM/mfO/PZVppw6O6fVpEpMTOOHKMZz8xXEkJnvZtLSWx/6wkKaadqej9SlXdwmMMXcbY6qNMXH5cfFTSyq45M751LZ2M3N4Hs9//RgOHxLDB5J7OGVcMc9/7RjGlWSyua6d8/7+Nm+tr3E6VtyK93qkcinceXx48eHsgXDN6+GFiWNt1M4nKRoL186BCReBvw0euiy865YOKh0R7/VY31nPNS9fw1MbnyIlIYU/HvdHfnjED2Nu1M4nyU7O5tbjb+U707+Dx3j4+9K/8703v0dnoNPpaHErrmsyGGTHL35B1a9+BaEQeddfx8C7/4WvqMjpZH3CJCRQ+PWvM/Bfd+HJzKT19dcpv/wK/Nu3Ox0tbsV1PQKr3t7O039eQldbgEHj87jopsMpHho/65qOmF7ExT86nNySNBp2tPPo7xZQsa7B6Vh9xtUNHuAe4FSnQzjhpXI/X39oCd2BEFccOZB7Pnc42anRv9bOgSrJTuHR64/i1HHFtHQGuPrfH/DMUv3BdMg9xGk9ZjWugLtPg5btMPCo8GiWonFOx+p7vhQ4/87w1upYeOUn8NIP1eRxxj3EaT02BBr47AufZVH1IgpTC7nn1Hs4efDJTsfqc8YYrhp3FbedcBtpvjReKH+B61+9nja/Rg445B7isCZD3d1k3flPGh54EJOYSMnNf6DwG9/AeKNjR57elDZjBoMffojEQYPoWrOG8ksvo6tsk9Ox4tU9xGE9AtSstMy5bw2hoGXS7AGc/qWJJLlw6/NIy8xP4YLvTGPQhDy62gI8/ZcllC2Jj4ECrm7wWGvfBOqdztHX/jZnAw+uCa8586MzxvDLc8bH9JSsT5OamMDfL5/KdccOJRiyfP2hxcyriL/5lE6L13pk4+tMXPbz8KiV8Z+Bq56CtHynUznHGDj2O3DhPeDxwfy/M2L9HRAKOZ0srsRrPVa0VvDnqj9T3lzOqJxRPHjGg4zNG+t0LEcd2/9Y7j3tXgpTCllYtZBrX7mW9lB8DUd3g3isyVBnJ9u+/BWSly7Fk5XFwHvuIeuss5yO5aikIUMY/MjDpEyfRqCqis1XXYW3Qouh97V4rEdrLe89XUb1cgsGjrtsFEd/ZkRMT8n6NIkpCZx+w0QmzOpPKGB56c4VNG2J/Q8l47dr4FJ/eW09N7+0FgP87vwJfPGYoZh4mQKyDx6P4funjeabs0cSsnDX8m4e+WCr07Ek1m14FR64BG+oG6ZcGR69khAfU0A+1bjz4JIHwJtE6fYX4ZmvaSSPRFRFawVXv3g1dYE6xueN51+n/IvC1NhauPVgjcwZyT2n3kO/tH4sq1nGX6v+Skt3i9OxJIaFurrYesMNtL31FqH0dAb95x5Sp05xOpYreLOyGHjnnaTNOIpgbS25f/o/OteuczqWxLj5T5ax4PlyMDD76rGMP7bU6Uiu4PEYjrl4BFNPGUgoZNn2rmXdBzucjhVRxu2L8hljBgPPWmvHf8LPrwWuBSgqKpr20EMPHdT9tLa2kp6efrAxe8XrW/zcu6obA1w50nLCUGfz7M4Nj89Oz5d188g6f3hHsalJTCl0ftjhoTw+xx9//EJr7fRejhQR8VSPGc3rmLzkR3hDXZQXzKZ87JfBuKMn7obHZ6fshqWMX/5rEkJdbBlwPmXDPut0JNXjR69zyDXphtdbS7CFW3fcSnWgmkEJg/hyvy+T4klxNNNObnh8dqoP1HNb1W3UBmoZkTSCG4puwGec3wb3YB+jaKpH6Ju/ka54vYVCZP3znyQvXkIwM5OKa68lafgwZzPtxhWPEYDfT/Y/7iRpxQqCWVnUf/c7hPLynE6levzw5zHznrV2jaVqSXjkTv6ULopGuuPvI7jj8YHwCKealVCzIvw4DTrWkN7P+UEUEXnPaq119QkYDKzYn+tOmzbNHqw5c+Yc9O/2hheWb7eDv/+sHfS9Z+2D7212PM+e3Jbna3e+ZAd971k78qbn7YLyOqfjHNLjAyywLqi1/TnFSz3amvXW/n6ItT/NtPbx6+2c1193Ns8eHH989rD0f3+09ue54cfr3b87HUf12Ms16fTrra27zV767KV2/D3j7QVPXWCff+15R/PsyenHZ0/bWrbZGffNsOPvGW9vnHOjDYaCTkc66McomurR9tHfSKdfb6FQyFb+/Od21ajRds30w2zHmrWOZ9qTm/IEOzvtkjPPsqtGjbYbTjvd+uvrnY6keuzFerTW+dfb2vcq7V+ve83+9brX7Jr5lY7n2ZPb8jz4f+HH6o6vzbVV5U1Ox4nIe1Z3fBwd55Zta+RrDy3BWrjxpJFccvhApyO53rnDfVx6+EC6AiG+8J8FbK3XegPSSzoa4P4LoL0ORpwMZ/8lfnbKOkj1eVPh7L+Gv3nx+9pCXXpNyIb4wVs/YHntckrTS7l99u2uGbnjVqXppXyp8Euk+9J5efPL3LroVqcjSQyp//c9uxZUHvD3v5E8aqTTkVzNk5RE4w3XkzRyJN1lZWz7ylexfq0jKb1j+4ZGXvvPagBmXDCcUUcUO5zI/YomGUYeUUSgK8izf11Ka0Ps7T7p6gaPMeZB4F1glDFmmzHmC05n6m31bd3c8N9FdAdCXHr4AL56wnCnI0UFYwy/PGccJ4wupLHdz/X/XUinP+h0rJgWD/VIKASPXwsN5dBvUnghYa/z0xuiwuRL4YQfh79+4jqo2+hsnhgXF/UI3L3ibl7f+joZiRncPvt2ClILnI4UFUoTS/nz8X/Ga7z8e8W/eWXzK05HinnxUJNt771P9R//CEDJH/5A6mGHOZwoOtjUVAb8804SCgvpWLiQ6ltucTpSzIuLemzq4qU7VxAKWiYe358pJ2mAwP4wxnDCVWPoPzqHjhY/L965gmAgtjYKcXWDx1p7qbW2n7XWZ63tb639l9OZelMwZPnag4upaOxg8oBsfnb2OC2ofAASvB7+7+LJDMpLZeX2Zn705IqdQzIlAmK9HgF48w+w/mVIyYGL/wuJaU4nii7HfAtGnwldzfDwFdCt7ZojJR7q8Z3t73Db4tsA+N0xv2NI1hCHE0WXw/sdzremfwuAH837EWVNZQ4nim2xXpP+HTuouPFGCAbJu/ZaMk89xelIUcVXVETpn28Fn4/6/9xL07PPOR0ppsV6PQaDIV765wram7spGZHNzM9ogMCB8Ho9nPzFcaTnJlG1qZl5j653OlKvcnWDJ9bd8cZG5m2oJS8tkduvmEpSgtfpSFEnK8XHHVdMI9nn4X8Lt/HkEm1FKQep/G2Y+zvAwAX/gmx9EnLAjIFzb4e84VC9Cl78gdOJJErVd9bzg7d+QMiGuH7S9Rzb/1inI0WlK8ZcwamDT6U90M533vgO/qCmhsiBs6EQ27/7PYJ1daTNOIqCr3/N6UhRKXXKFIq+/z0AKn/yE7q3bXM4kUSrBc+VU7mhibSsRE65Zjwerw7pD1RKeiKnXjsBT4JhxRsVbFxc7XSkXqNXg0PW7Gjm1lfDWyb+6eLJ9MvSmgIHa0y/TH5xdniB/J8+tZIdTbE3l1IirKsVnrwBsHDst2H4iU4nil7JmXDRveBNhEX/CW81L3IArLX8av6vqO+s57Diw7h+4vVOR4paxhh+PuPnDMgYwLqGddy+9HanI0kUavjv/bS//z7evDxKbrkF49UHkgcr57LLyDj1VGx7O5U/+CE2FFtTQyTyqsqbWfjiZjBw8hfHkZqZ6HSkqFU0OJOZF4wA4I0H1tLR0u1wot6hBo8D/MEQ33pkKf6g5bIjBnLcSK0pcKgunN6f40cV0NwZ4AePL9NULTkwr/4UGjdD8QQ49rtOp4l+ReNgVs/onae+Ch2NjsaR6PJS+Uu8svkVUhNS+eXMX+L16GDyUKT6UvnVzF9hMNy94m5W1K5wOpJEke7ycqr/9CcA+v38ZyTk5jqcKLoZYyj+6U/w5uXR/sEHNNz/gNORJIoE/EFe+89qbMgy6YQBlIzIcTpS1JtwXCmlo7LpaPHzxgNrY+IYUg0eB9w9bxMrtzfTPyeFH54+xuk4McEYw+8umEhmcgJz1tbw9NLtTkeSaLH1ffjgLvD4wtOLEvRJSK+Y8TUonQ4t2+G1XzidRqJEc3czv3nvNwB8+7BvU5pe6nCi2DC1aCpXjr2SoA3y03d+SjCkTQnk01lrqfzZz7GdnWSefRYZs2c7HSkmJOTk0O/nPwOg+k9/wr9jh7OBJGosemkLDZVtZBelcuQ5Q52OExOMx3DClWPwJXnZuLiGTUtrnY50yNTg6WM1LV3c9voGAH593gTSkxIcThQ7ijKTdzXMfvfCGjq69QZWPkUoBC/0jNiZ+bXwCB7pHd4EOOevYLyw8N9QtdLpRBIF7lh6Bw1dDUwrmsZnRnzG6Tgx5atTvkpJWgnrGtbx2PrHnI4jUaDl1Vdpnz8fb1YWRT/Qmmq9KWP2bDJOOQXb0UH1H//kdByJAi31nSx+aTMAx18xmoREjW7tLZn5KRzR0zB7+7ENBP3RPXVSDZ4+dstLa2ntCjB7TKGmZkXAhdMHMK4kk8qmTv7xprZplk+x7CHYvhgy+sHRNzqdJvYUjoHDvgg2BC98D2Jg2KtEzqamTTy4+kEMhu8f/n3tKtnLkhOSuXF6+P+5vy7+K83dzQ4nEjcLdXVR/YebAcj/2ldJyNFUkN5W+J3vYBITaX7mGdoXLXY6jrjcu49vIOAPMXx6ISUjsp2OE3PGH1dKTnEqzTUdLJ2z1ek4h0QNnj60dkcLjyzcis9ruOmMsU7HiUlej+GnZ40DwruUVbdowWX5BP7OD6cOzf45JKU7mydWzfp+eNv58rfCW9CLfIJbF95KwAY4f8T5jM4d7XScmHTyoJOZVjSNhq4G/rU8pnYNll7W8MCD+LduJWnEcHIuvtjpODEpsX8puZ//HADVf/hDTKz9IZFRtamZ9Quq8fo8zDhfW6JHgtfr4egLwwsuL3i+nM626N11Ug2ePnTb6+uxFi47fCBD8tOcjhOzDh+Sy0lji+j0h7jrrU1OxxG3WnwftFSGp2VNuNDpNLErNReO+Xb46zd+r1E8sldr69fy+tbXSfIm8ZUpX3E6TswyxvDt6eF6fHDNgzR2NjobSFwp1NlJ3b/CDcCCb30Lk6DlBCIl/5pr8GZn07FkCe3z5zsdR1xqwfPh45mJx/cnIzfZ4TSxa+C4PAaMycHfGWTp69E7ikcNnj6yobqV55ZX4vMarjtumNNxYt7XTgh3YP87fzP1bbGx5Z30okA3zLs1/PWx3wGP/iuMqOmfg9Q8qFgIG193Oo240J3L7gTgMyM/Q35KvsNpYtv4/PHMLJlJR6CD+1bf53QccaHGR/9HsLaW5LFjST/uOKfjxDRPWhq5V38WgNq/3+5wGnGjmi0tlC+vI8HnYfLsgU7HiXnTTx8CwLLXt9HVEXA4zcHRUU0fueONjVgLn5k2gJLsFKfjxLwJ/bOYNaqA9u4g97ytUTyyh2UPQ/M2KBgDo89yOk3sS0yDo3pGZbylxSTlo8qbynll8yv4PD4+N+5zTseJC9dNug6AB1Y/QJu/zeE04ibW7981eifvhuu1FlYfyLn8cjyZmbR/8IHW4pGPWfhieGHlcceWkpqpnV4jrWRENiUjsunuCLDijW1OxzkoavD0gcb2bp5euh1j4PrjtKVdX/nSrPAc1Qfe34o/GN2roUsv++Cu8PnMr2v0Tl857IuQmAGb50H1aqfTiIs8su4RLJazhp1FUVqR03HiwpTCKUwtnEqrv5Xnyp5zOo64SMvcuQR27CBxyBAyTjzR6ThxwZuRQc6llwLQ8OCDDqcRN2lr6qJsSQ3GYzR6pw9NO3UQACvf3E4oFH1LC+jIpg/8b+E2ugMhjhlRwKA8rb3TVw4bnMOIwnRqW7t4ZVWV03HELSoWQeWS8MK/485zOk38SM6EiT1rHS28x9Eo4h6dgU6e2vAUABeNusjhNPFl5+P96LpHtbir7NL40MMA5FxyMUYfgPSZnIsuBGNoefFFAg0NTscRl1j9diU2ZBkyKZ/0nCSn48SNAWNyycxPpqW+ky0r65yOc8D0P3eEWWt54P0tAFx+hDqvfckYw2U9j/n97212OI24xsJ/h88nXQY+LVTXp6b1TL9Z8iB0tzubRVzhlc2v0NzdzLi8cYzLG+d0nLhy0qCTyE7KZk39GpbXLnc6jrhA99attL39NiYxkaxzznE6TlzxlZaSduwxWL+fpsefcDqOuEAoZFk5rwKAcceUOJwmvhiPYezR4cd85VvbHU5z4NTgibDlFU2U1bRRkJHEiaMLnY4Td86f0p/EBA/vbKyjullbpse9QBesfDL89bTPOholLvWbCCVToatJW6YLAM+WPQvABSMvcDhJ/En0JnL2sLMBNE1LAGh+NlyPGaecgjc729kwcSjnovCouqae50Hi246NjbTWd5GRl8yA0blOx4k7Y2aUYDyGLSvqom7LdDV4IuyFFTsAOG18MQlePdx9LSvVx7Ej8rEWXlq5w+k44rSyN6CrGQrHQcEop9PEp53T4lY/7WwOcVxTVxPvV76P13g5aeBJTseJS6cMPgWAV7e8Sshqrbp41/zyKwBknnaaw0niU9oxx+BJS6Nr9Wq6t0bvFs3SOzYuqgFg+NRCjEeLnfe11MxESkdmEwpZNi2tdTrOAVHHIYKstbywvBKAU8cXO5wmfp02vh/wYbNN4tjq8FofjNXQc8eMDY8YYN1L4Neoung2d+tcAjbA9OLpZCdnOx0nLk3In0BxWjHV7dWaphXnurdupWv1ajxpaaTNnOF0nLjkSUwkfdYsAFpe1ijXeGZDlrIl4QbP0KkFDqeJX8OmhmfflC2udjjJgVGDJ4I21rRSXtdObloihw/W0DqnzB5TRILH8N6mepo6omuInfSiUAjWvhj+emeTQfpezmAongjdrbDpTafTiIPmbJ0DoNE7DjLGMHvgbADmbJnjcBpxUuvrrwOQPmsWniQt5uqUjJNPBqDl1dccTiJOqtnaQmtDF+k5SRQNynQ6TtwaMikfDGxZXY+/O+h0nP2mBk8EvbsxvOr20cPzNT3LQVmpPqYMzCYYsiwor3c6jjilZg2010JmKRSMdjpNfBsePqCk/C1nc4hjQjbEBzs+AGBm6UyH08S3nY//B1UfOJxEnNT23vsApB1ztMNJ4lvajKPA46Fj+XJC7dqMIF5VrG0EYMDYXE3PclBaVhIFAzIIBSxVZU1Ox9lv6jpE0PyycDPhyKF5DieRI4aEn4P5ZdG31Z30kvJ54fNBM8Hoj6WjBvccQOx8TiTurG9YT3N3M/3S+lGaXup0nLg2pXAKXuNlZe1K2v06oIxHNhikfcECANIOO8zhNPHNm5FB8tixEAjQvnix03HEIRXrGwAoHZnjcBIpGZENQMW6RkdzHAg1eCLEWst7m8LNhCOHanqW03Y22d5Vgyd+7RwtMlifTjpuwBHgSYDKJdDZ7HQaccDO0TuHFR+GUcPVUWm+NMbmjSVogyyu1gFlPOpau5ZQczO+0lJ8pWq4Oi318MMBaH9fo+riUShkqVzfCHzYXBDnlI7MBqBiXYOzQQ6AGjwRsr2pk9rWbnJSfQzJT3M6TtybOigbY2BNZQvdAe0UEpe2LwmfDzzS0RgCJKVD8QSwIdihhV3j0cq6lQBMKpjkcBIBmFw4GfjweZH40rFiBQApU6c6nEQAUqdOAaCz53mR+NJU3U53Z5D0nCQycpOdjhP3+g3LBqBmays2ZJ0Ns5/U4ImQtTvCn0qPLs7Up5MukJqYwKDcVAIhy8aaVqfjSF/rbIKmLeBNgtxhTqcRCG9VD1C9ytkc4oj1DesBGJkz0uEkAh8+DzufF4kvXevCz3vyKNWjGySNDD8PXevWOZxEnFBX0QZAXv90h5MIQHK6j7SsRAJdQZrrOpyOs1/U4ImQNTtaABhVnOFwEtlp53Oxtue5kThSvTp8XjAKvAnOZpGworHh8yp9Qhlv/CE/ZU1lAIzIGeFwGoEPn4d1DTqgjEdda9cCHzYWxFm+/v0xqakEamoINETPtBDpHXUV4Q+i80rU4HGLvNLwc1G3rc3hJPtHDZ4I2VAVLk41eNxjVHF4m8F1VWrwxJ2aNeHzwrHO5pAP7Xwuqtc4m0P63LaWbfhDfkrSSkjzaQqzGwzLGobBsLl5M/6Q3+k40se6Nm4EIGmEGq5uYDwekoYPB6BrvUbVxZv6ynATIbdEfx/dIrenwVNfGR2zQNTgiZDtTeEhXANyUh1OIjv1z0kBYEdTp8NJpM81VYTPcwY5m0M+lD0wfN683dkc0ud2tO0AoDRDi7m6RXJCMvkp+QRtkLoObUYQT0JdXQTr6yEhgYSiIqfjSA9faQkAgaoqh5NIX2utDx+nZOanOJxEdsrMC6+F1NrQ5XCS/aMGT4RUNYdfAMVZSQ4nkZ2KMsPFuaNZDZ6409LTRMgodjaHfCgz/OaVlkoIaeHzeFLdXg1AYWqhw0lkdwWpBQBUteuAMp4EqsP1mFBQgPHosMAtfIXhZpsaPPGnrTF8DJmWnehwEtkpred4fudz43YH/T+5MebfxpiS3gwTK6y1u0aJ7GwqiPOKY7jBo3r8FM2V4fMMPUSu4UuB5GwI+aE9tkYMqB73TQ0ed9r5fOx8fmKF6nHfdjYQfIWqRzfZOZrKX6V6jCehYIj25m7gw6aCOC8tO/xctMZ6gwf4H/CUMea3xpjM3gq0O2PMqcaYtcaYDcaY70fiPiKhKxCiwx8k0eshI9nndBzpkZce7oQ3tsfk+gIRr0eI3pqkoz58npbvbA75qJ3Px87nJ3aoHvehoSu8aGhuUq7DSWR3ecl5ADR2NTobpPepHvch2NgIgDdX9egm3twc4MPnJ4aoHvehuyOItZCUmoA3QSPq3CIlI3w839kWHceQB/3KsdY+BxwBlAHzjDFfNcb02vY0xhgv8DfgNGAscKkxJipWSO3yh6cbJPtUmG6S7PMC0OkPOpyk90W6HiG6axJ/z6gtn+Yzu0pCz/Phj45tJ/eX6nHfuoPhTyeTEzTC1U2SvOFPKLsC0fEJ5f5SPe5bqDP8fHtSVI9u4kkOPx+2M7ZGnase9y3QcwyZoGNIV0lIDB9DBv3RsaTAIb16rLUh4DXgVuCnwGpjzHm9kAvgcGCDtbbMWtsNPASc00u3HVGdgXADIamnoSDukNzTCW/vDuIPRkeBHogI1yNEcU0S6Gkg6IDSXaqWh8+bK5zNEQGqx0/WGQgfsOxsKIg77Fz8Oha3Slc9fjLbFa5Hk6h6dJNQT2On/f33HU7S+1SPnyzQ8yG0Vw0eV9nZcOto8WND1uE0n+5Q1uB51RizDbiHcHf0S8BngNONMbf2QrZSYOtu32/rucz1do7gSdLQOldJ8H74fHTE2CiePqhHiOKaZOcn0gl6A+tKW+Y7naBXqR73becInkSvFpB0kze2vQHAExuecDhJ71I97luoK/z30STp76Ob+LeEX07BpiaHk/Qu1eO+7Rwh4tUgAVf5yHQ541yO/fWpQ+KMMc8Al1pr99z4/dvAcmvtnkfK1xhj1vRCtr09fB9rmRljrgWuBSgqKmLu3LkHdWetra0H/bt7qusIF2d7R6cr8vSGWMgTsh++fN6dN4+khN6r0L56fBysR9iPmnRjPQIc2R0gGZj/ztt0phz4NrCx8PqPpIPNM6vnfENVG9t68d+jevxIxkOuyd5+PGtrawFYsWoFaVvSHM9zqNyWBw4uU443h9pALUUJB/9/d2/mOVCqx4OTsnEjmUDltq2sdcnf7EMVC3lSq6rI6Pla9Xjgd7+Xy6LiGLKrORyzrbXNFXl6QyzkCQU+fPnMnTMX43H5MaS1dp8nIAgU7vb9w0Debt97gMw9fmfop93uftzvUcBLu33/A+AH+/qdadOm2YM1Z86cg/7dPdW2dNpB33vWTv75S67I0xtiIU97V8AO+t6zdsRNz7siz07AArv/deFIPdqDqEm31KO11tq/TLP2p5nWVq12R55DFDN57jg2/LxsW+COPDZ269EeQk329uvtp2//1I6/Z7x9eM3DrshzqNyWx9qDy/S7935nx98z3t6z4h5X5LFW9bg3vf16a3zySbtq1Gi77VvfPujbcFsNxEKeppdftqtGjbZbvvRlV+SxVvX4SXrz9dZU227/et1r9p7vz3NFnt4QC3naW7rsX697zf7zxjdckWenT6rJ/ZlDtGeL6nQga7fvC4CPbIFirS3bj9v9NB8AI4wxQ4wxicAlwNO9cLsR9+FivrG3zks027m4cnJ0T51zqh4himsSX8/aO4HYWsw36vWsxbJrseXoo3o8CDsXV+4KxtZivtFu5/OR7I3atcpUjwfBJPUs5tsVW4v5Rju7c/Hr6J06p3o8CAk9x5ABHUO6SqB75+LX0TF1rrdWLe/1I2ZrbcAY8xXgJcAL3G2tXdnb9xMJyT4vHhNe58UfDOHzRnVDIeot3dpIVopv1xSt9KReXazfjSLygovmmiSxZ6BzZ7OzOQRq1kHIDzlDoKslfFnigU/TiSKqxz2kJqQC0Nq958h96Wu1HbVUtlYyMHMgrf7w85HqS3U4VUSpHvfgSQv//xtsUT06zfr9dCxZgm/gIIKt4b+PnjTV44GK5nr0JYcbCN2dAay1GBMFC77EsB1lTaRk+PB3hgcJ+JLiq8ETkeWkrbXPA89H4rYjyesxFGQkUdXcRXVLF6XZUfvpdEy4860ynltWyc7pki1dAX7y1ApOG9+Po4blORsuMiK2vHu01iQZxeHzlh3O5hAomwsvfOejl839LQw+BqZc7kikCFM97qEwtRCA6o5qh5NIXUcdlz1/GQBeE37j+sSGJ9jWso1rJl5DgifmPhBRPe4hoTBcj4Fq1aPjEhLY+qUvE2ppgYRw7bUvXEjVzTeTe8UV+Pr1czhgr1M97sGX6CUxJYHujgCdbX5S0rUZgZMWvFDO5uV17OyzdbR28+ZD6xgxvZB+w7MdzbYv+9s5/Zwx5khjzM5xu+7fH8xhxZnhh2pHk4a8Om1sv0wAdu5q19IZ4N53N5OT5nMw1SFRPR6ozJLweUulszkEisd//LKlD0bz9DnV4wHa1eBp1wGl04ZmDd3VxAn2rHn6wY4P2NS0KVqbO6rHA+QrUoPHLYwxJI0aGf4mEACgu2wTLS++REJ+voPJDprq8SCkZYen5bU1ahqz0/JL0wHomQRCV1uAFW9sIyXD3Y23/WnwzAW+B7wDNANpwO+NMV83xhwDZEcsXRQrUoPHNcb0y/jYZaeOK2Z0caYDaQ7ZXFSPBy6j51Ov5u3O5hAoGvfxyzJLYcqVfZ/l0M1F9XjAilLDO9lVtVU5nER8Xh9Ds4Z+7PLrJl3nQJpDNhfV4wHzZGVhkpIItbYSbG1zOk7cSx41+mOX5V13LcYXdR9KzkX1eFDSs8PNg9YGNXicltc//WOXjTi8iOwid0+d/NSPZ6y1JwAYY4YC03Y7/RjI3Xm1SAWMVkPyw3OaN1RrTrPTxvT7eCPnayeOcCDJoVM9HqS8YeHz2rXO5hBIzoLsQdC4+cPLjv4mJETfQpKqx4MzIHMAAOXN5QRDQbye6JjTHqtG545mXcO6Xd+fOvhUhmUPczDRwVE9HhxjDImDBtG1bh3dZRtJmTjR6UhxLXnMRxs83sICss8915kwh0D1ePCyClPZurqBhsp2Bk9wOk18Kxjw8UEC008b3PdBDtB+j7/tWdm8DHh052XGmMHAdGBqryeLcqOKwy+ItVVa1NVpxZnJZKf6aGz3A3DY4BzGlkTl6J1dVI8HqHBs+LwqKtbYi33FEz5s8CRmROvonV1UjwcmMzGT4rRidrTtYGvLVgZnDXY6UlwbmTPyI99fNzEqR+/sono8cEkjR9K1bh2da9eqweOwpD1G8OTf8CVMorung+yL6vHA5fVMC6rbrkECTsssSCEh0bNrF60BY3PJKXb/xiCHNMHaWlsOlAP/640wsWRng2fNjhaHk4gxhtFFGczfFN6N8ZsnjfyU34hOqsd9yB4YbiS01UBrDaQXOJ0ovhWNhzXPhr8ed96H29jHENXjvo3IHsGOth2sb1yvBo/DRuWO2vX1oIxBDM8Z7mCayFA97lvSyPD7oq516x1OIkkjhoMx4UU/fD5yLjjf6Ui9TvW4b3kl4QZCXYUaPE7zeAy5JWlUl4eP54869+NTmt1I+3dHyLCCdHxew6baNpo6/E7HiXv9enYyS0rwMGNYVC5UJ4fCmA8X992+yNksAkVjP/z6qC87l0Mcs7OpsKJ2hcNJZFTOhw2es4ed7WASccrOaUGdy5c7nEQ8ycl4c8MzmFLGj4vq0TtycPJK08FA/fY2/N1Bp+PEvZ2LXvuSvBQMjI4ZIGrwREiyz8uk/tlYCwvK652OIz3TfI8Ykvsp15OYNfCo8Hn5PGdzCPh6FqdLyoSCUfu+rsSkqYXhkfkLqhY4nESykrIwhPeAPX3o6Q6nESekTJ4MHg8dK1YQam93Ok7cM97wumRZ51/gcBJxQmJKAvn90wkFLVVlTU7HkR4DxkbPMaQaPBF05NA8AOaX1TmcRGpbuwE4ZXyxw0nEMYOPDp9vftvZHAJ1G8PnI04Kj66SuDOlcApe42Vl7Ura/TqgdNL6hvVYLPkp+ZSmlzodRxzgzcggeexYCAToWLLE6ThxzQaDBJvCB/VpRx3lcBpxSunIHAAq1jU6G0ToaA4fQw6dHD3LO6jBE0E7Gzxvb1CDx0mhkGXV9vBi1zufE4lDA44ATwJsXwIdjU6niW/lb4XPhxznbA5xTHpiOmPzxhK0QY3icdj7O94HYEbJDIwarnEr9fDDAWh7d77DSeJb5+o12K4ufCUlJPZXwzVelY7MBmDbmgZng8S5YDBE3fY2AEpGZDsb5gCowRNB0wfnkJroZVVlM1vr9QmlUxZuaaCurZv+OSkMzXf/yucSIUnp4WlaNgjrXnI6TfzqboeNr4e/HnaCs1nEUTNLZwLw+pbXHU4S317b8hoQbvBI/Eo/OlyPLa++irXavdopLa++AkDaMcc4nEScVDoyB0+CYcemJtqaupyOE7cq1jbg7wyS0y+NjNzo2RBEDZ4ISvZ5OX50IQAvrdzhcJr49fzySgBOG1+sTyfj3ZieBURXPeVsjni24VXwt0PpNMge4HQacdDsgbMBmLN1DsGQFpJ0Qm1HLYuqFuHz+Diuv0bUxbPUww7Dm5VF96ZNdG/Y4HScuNXycrjBk3nKyQ4nESclpiQwcEwuWNi0tNbpOHFr46IaAIZNiZ7pWaAGT8Sd1rPmy84mg/StUMjy0opwc+3U8f0cTiOOG3Nm+Hzja9DV4myWeLX66fD5GO3WE+9G5oxkYMZA6jvrWVi10Ok4cen1La9jsRxVchTpielOxxEHGZ+P9BNPBKD5pZcdThOfujZsoLusDG9WFqmHHeZ0HHHY0CnhQQIbF1U7nCQ+hYIhNi3tafBMVYNHdnP8qEJSfF4WbWlkY02r03HizrtldWxv6qQkK5kpA7KdjiNOyywJT9MKdMLKJ5xOE386GmH1s+Gvx57jaBRxnjGGUwafAsBTGzWqzglPbQg/7icP0mgBgczTTgWg6amnsKGQw2niT+Pj4fcl6SfNxvh8DqcRpw2ZlI8nwbBtbQPNdR1Ox4k7m1fW09HiJ7soNbx1fRRRgyfC0pISOGdyCQAPvrfF4TTx5/73NgNw8WED8Xg0PUuAqZ8Nny+429kc8WjZwxDoCC+unDvE6TTiAueNOA+Al8pfoqlL28H2pTX1a1hWu4wMXwYnD1aDRyBtxgwSSvrh37qVtnfedTpOXAl1d9P0+OMA5Fx0kcNpxA2S03wMm1IIFla/rZkgfW3lmxUAjJ1ZEnVLfKjB0wcuO2IgAP9btI1Ov9YZ6CvVLZ28vLIKr8dw8WFa60N6jDsXkrNh++LwjlrSN6yFBf8Ofz39885mEdcYkDGAGSUz6Ap28fTGp52OE1ceXfsoAGcNO4uUhBSH04gbGK+XnAsvBKDx4YcdThNfWl56mWBjI0ljxpA8YYLTccQlxh8bHiSw6u3tBIMaVddXmus62LyyDk+CYfSMYqfjHDA1ePrAxP7ZTCjNorHdz+OLKpyOEzfue3czgZDlhNGFFGdFz8rnEmG+FJh8Wfjr+X93Nks8KZsDNashrRBGn+F0GnGRi0aGP61+YPUDBEIBh9PEh4bOBp4pewaAC0de6HAacZOsCy6AhARaXn+d7q1bnY4TF6y11N97LwA5F18UdaMFJHL6Dc8mpziV9qZuNizQWjx9ZdmcbWBh2JRCUtITnY5zwNTg6SPXHDsUgL/P3YBfHdiIa+rwc8/b5QBc1/PYi+xyxPXgSYDlj0J9mdNp4sMbN4fPj7wevFpbQD40a8AsBmUOYlvrNl7Y9ILTceLCfavuoyPQwdGlRzM8Z7jTccRFfIWFZJ15JgSD1N35T6fjxIW2eW/TuXw53rw8ss7R+nTyIWMMk08KzwRZ+EI5NmQdThT7Olq6d03PmtLz2EcbNXj6yBkT+jG0II1tDR08tWS703Fi3r3vlNPSFeCooXlMH5zrdBxxm5xBMPESsCF4609Op4l95fNgyzvhqXGHXeN0GnEZr8fLFyd8EYA7l92pLdMjrLm7mQfXPAjAdROvcziNuFHeddeCx0Pjk0/i3673rJFkraX29tsByPvc1XhSNF1SPmrUEcWk5ybRsKOdjYtrnI4T85a8tpVAd4hBE/IoGJjhdJyDogZPH/F6DF+eFf6U7C+vracroDewkdLY3s1d8zYB8NUT9cmkfIJjbgTjgaUPQu0Gp9PELmvh9V+Hvz7yBkjOdDaPuNIZQ8+gNL2U8uZyntv0nNNxYto9K+6h1d/KEf2OYHLhZKfjiAslDRlC5mmngd+/q/kgkdE2bx4dixbhzcoi+5JLnY4jLuRN8DDtlEEAvP9MGSHNBImYtqYuls/ZBsD00wc7G+YQqMHTh86ZXMKIwnS21Lfz757pQ9L7/u+VdTR1+Jk5PI+jhuY5HUfcKm8YTL4cQgF4+San08SulU+ER++k5oWnxonshc/j40uTvwTArQtvpd3f7nCi2LStZRv/WfkfAL465asOpxE3y//KlyEhgcb/PUbnqlVOx4lJ1u+n6re/AyDv2mvwpqc5nEjcasyMEjLzk2nY0c6KNzWqLlLee6oMf1eQwRPzKR6S5XScg6YGTx9K8Hr4yVljAbjttfVUt3Q6nCj2rN3Rwn/f24LHwE/OHKeF6mTfTvwJJGbAuhdh/atOp4k9/g545Sfhr0/4MaRkOxpH3O3MoWcyIX8CNR013LX8LqfjxKQ/LfwT3aFuzhx6JpMKJjkdR1wsacgQcq+4Aqxlx29+g7Va+6O3NTz4IN1lZfgGDSTnyiudjiMu5vV5mPmZEUB4FE9nq9/hRLGnenMzq9+txOM1zLwgumeAqMHTx44ZUcDsMUW0dQf59XOrnY4TU0Ihy4+fWkEwZLn8iEGMKo7OeZPSh9IL4bjvhr9+4bvQrVEDverNW6BpKxRNgKlXOZ1GXM5jPHzv8O8B8J+V/6GsSQug96Z5FfN4ZfMrpCSk8I2p33A6jkSB/C/dgDc3l44FC2l66imn48QUf1U1NX/9GwBF3/s+nsTo26lH+taQSfn0H51DV3uAd5/Q0gK9KRQM8caD68DCxBMGkF2U6nSkQ6IGjwN+fOYYkn0enlqynRdX7HA6Tsz4z7vlvL+pnvz0RG48aaTTcSRaHHE9FIyG+o3w+q+cThM7KhbCvP8DDJxxC3i8TieSKDCpYBLnDT+P7lA3P5r3I22b3kuau5v56Ts/BeD6SddTlFbkcCKJBt7MTAq//W0Aqn7zW/xVVQ4nig3WWip//CNCzc2kH3cc6cfPcjqSRAFjDMdcNBJPgmHV25VsXlnndKSYsfiVLVSXN5OekxTVa+/spAaPAwblpfH9U0cDcNMTy6lr7XI4UfQrq2nl9y+uAeA3500gJ02fhMh+SkiEc28H44X5f4fN7zidKPr5O+GJG8AG4agvw8AjnU4kUeQ7h32HotQiltcu556V9zgdJyb8/v3fU91ezcSCiXx27GedjiNRJOu8c0k/7jhCzc1U/vjHmqrVC5oee4y2N9/Ck5VF8S9+oeUEZL/llqRxxFlDAZhz3xq62jVV61DVVbTy/rPhzXmOv3I0SSkJDic6dGrwOOSqowZz5NBc6tq6+e7/lhEK6Q/mwer0B/nmw0vo9Ic4b0opJ48rdjqSRJvSqeFdtbDw+HXQXu90ouj28o+gdi3kjYATfuR0GokyGYkZ/GLGLwD425K/saxmmcOJotuLm17k6Y1Pk+RN4lczf4VXo+nkABhjKP7FL/BkZdH25ls0/Pd+pyNFta6yMqp+81sAin90E76iQocTSbSZfNJAioZk0tbYxZz/rlXT9RD4u4O8cvdKQgHL2GNKGDg2NjbnUYPHIR6P4ebPTCIrxcdra6r52xzNpTxYP39mFUu3NdE/J4WfnTXO6TgSrY79LpRMhaYt8NgXIRR0OlF0WvoQfPBP8CbC+f8AX4rTiSQKzSidwWWjLyMQCnDj3Bup71TT9WBsaNjAT94JL3T+renfYkjWEIcTSTTyFRXS7+c/A6Dq97+nfdFiZwNFqVBbG9u++jVC7e1knHYqmWee6XQkiUIej2H21WPxJXvZuKiapa9tdTpSVLLWMvf+NdRVtJFdlBr1CyvvTg0eBw3ITeXWSyZjDPzp1XXMXVvtdKSo88gHW3nw/S0kJXi444ppZKX6nI4k0SohES66N7yd98bXYO7vnE4UfXYsh2e+Ef76tD9A6TRH40h0+/b0bzOpYBJV7VV8943vaj2eA9Ta3co3536TjkAHZw49k0tGXeJ0JIlimaeeSu7VV0MgQMXXv06gpsbpSFHFWsv2H/2I7o0bSRw2jJJf/UpTs+SgZRelMvuz4Z2Z33l8IxXrGhxOFH1WvFHBuveqSEjycup140lMjv6pWTupweOw40cV8o0TR2ItfPWBxaza3ux0pKjx9oZabnpyOQC/Onc840uzHE4kUS97AHzmbjAeePMP4dEosn+aKuCBiyHQAZOvgGlXO51IopzP6+OPx/2R3ORc3tvxHr+a/ysNRd9PARvgm3O/SXlzOSNzRvKTo36ig0k5ZIXfupHU6dMJ1NSw9YYvEWprczpS1Kj5859peeFFPGlp9L/tL3jS0pyOJFFu6JQCpp4yEBuyvPCP5TTsUD3ur/Lltbz1yHoATrhyNHkl6Q4n6l2ubfAYYy40xqw0xoSMMdOdzhNJXz1hOGdM6EdLV4Cr//0+W+u1VfOn2dwc5Lr7FuIPWj4/cwgXTh/gdKSYFk/1yNBZcEp4fjxPfRnWv+ponGiQ4G+F/14AzRUw4Mjwrlk6mIyYeKrHorQi/nz8n0nyJvHY+se4fentTkdyvZAN8d/a/zK/cj65ybncevytpCRoqmSkxFM9Gp+P0lv/D9+AAXSuWMG2r30d293tdCzXS5k7l7o7/gFeLyW33EzS0KFOR4pp8VSTR5w9lMET8uhqC/D0X5bQ1qiNez5Ne53lpTtXYEOWaacOYsT02NtV0rUNHmAFcD7wptNBIs3jMfzxokkcOTSX6pYuPnv3+zR2hZyO5VplNa38cUEXrV0BzpzYjx+dMcbpSPEgbuoRgCOvh5nfgFAAHrmKzKbVTidyr65Wxq/4NdSsDm83f+mDWncn8uKqHicXTuYPx/4Bj/Fw+9LbeaP5DacjuZa1lt+//3sWti8kNSGV22ffzoAMfQASYXFVjwn5+Qy86594c3Npe/tttv/wJghqzbpP0vTcc2Q8/AgA/X7xczKOP97hRHEhbmrS4/Vw8jXjKRqSSWt9F8/ctoRAl0a6fpK67a1secMS8IcYM6MfR5wTm81W1zZ4rLWrrbVrnc7RV5J9Xu68ajqjizMoq23jd+91UtnU4XQs11lX1cJF/5hPc7dlxrA8/njRJDwejRSItHirRwBm/wwmXQr+NiYt/RmUz3M6kft0NsF955HdtAoyS+GKxyA11+lUMS8e6/GEgSfw4yN/DMD/Gv7HvSvvdTiR+4RsiF+/92seWPMAXrzcevytjM0b63SsmBeP9Zg4aBAD/vEPPKmpND/7LFl3/xvr13bNe2p66im2f+e7GGsp+MbXyb7gAqcjxYV4q0lfopczvzyJnOJU6iraKH/d0t6skXV7qtnSwpN/XEywGwZNyGPW5aNiduqycft8dmPMXODb1toFn/Dza4FrAYqKiqY99NDBrZnR2tpKerrz8++auy23fNDJlpYQBSmG7x6WTEGq8304Nzw+m5uD3PJBJy1+GJVlufGwNJIS3FGYh/L4HH/88QuttVExhDTe6tGEgoxa+xeKq+YS9CSyYvwPacid4nQsVzw+Cf4WJi77GZktG2hPzGP55F/TkdrP0Uw7qR4/cp1Drkk3vN52erPlTR6tfxSAs7LP4uSskx1O5I7HJ2RDPFj3IPPb5pNAApdnXM70XPe8jA/2MVI9fpwbXm87+TZsJPuvf8XT2UnnpEk0ffEL4HN+sws3PEYpb80j44EHMNZSf/LJ+M871zVTl+OhHiH+3rP6Oyyb51i6miExAwYfb/ClOv+ac8Pj015n2TzXEvJDSmGQwccl4PE6/9hAZN6zOtrgMca8ChTv5Uc3WWuf6rnOXD7lD+ZO06dPtwsWfOrV9mru3LnMmjXroH63tzW1+zn3z6+yqSlEfnoS/7xqGlMG5jiayenHZ86aar764GJauwIcP6qASwe2cfKJ7hnmeiiPjzHGFX8wVY+fIBRk+z8vpqTyFfD44Mz/g6lXOhrJ8cenbiM8cBHUbYCcwbw76iaOOvUi5/LsQfW4dwdbk46/3vbw22d/y4N1D2KxXDzqYr5/+PdJ8Di3+4XTj0+bv43vvfk93tj2BsneZP5ywl/oWtflqufsYB8j1ePHOf1621PH8uWUffZqPO3tpEyfRv/bbiMhJ37fs9pQiNq//pXav4fXCyv89rdYPny4q56zaK9H0HvWT9Le3M0Dv5lHVyOk5yRx+g0TKRiY4Wgmpx+fssU1vPLvlQS6QwydXEDSiFpOiPFjSEeHhlhrZ1trx+/l9JSTuZyWlerju4clM2NYHrWtXVx853yeXrrd6ViOsNbyr3mb+MJ/Pti15s4dV04j0SVd11iievwEHi/rRn4JjvoKhPzw9Ffg5R9BKE7XHCh7A/55Qri5UzgOPvcCXcmFTqeKOarHT3ZU+lH8/tjf4/P4eHjtw9zw6g00d8fnDpTbW7dz5QtX8sa2N8hKyuKOk+7gqJKjnI4Vc1SPnyxlwgQabvwmCYWFdCxYSPmFF9G1YYPTsRwR6uig4ps3hps7Hg9FP/kxeV/8otOxYpJqcu9SMxMZfLyh37AsWhu6ePyWhZQtrnE6liOstSx8sZwX/rGcQHeI0UcWc/I141wzcieSnJ/7I3uVkmD4z+cP59LDB9IdCPG1Bxfz6+dW0R2In8WXW7sCfOvRpfzy2VWELHz9xBHcdukUkhK8TkeTeGM8cMqv4cxbwZMA79wG938GWqudTtZ3QiF4+y/w3/OhsxFGngZfeAkyS5xOJnHotCGncfcpd5ObnMv8yvlc9txlrKpb5XSsPvXWtre49LlLWd+wniFZQ3jg9AeYVjTN6VgShwL9+zP40UdJHj8e/7ZtlF98Cc3PP+90rD7VVbaJ8ssup+Wll/CkpzPgH3eQe9llTseSOJSQZDjnG1MYdWQxge4QL/xjOfOf3EgwGD/HkF0dAV6+ayXznywDA0edN4wTPjsGrzc+Wh+u/VcaY84zxmwDjgKeM8a85HSmvubzevjNeeP5yZlj8XoM/3xrExfc/g6batucjhZxy7c1ceZf3uLxRRUk+zz85dIpfPOkkTG7GJbbqR57TP8cXPkEpOTCxtfh9pmw4TWnU0VeSxXcfwG88uPwzmIzvgaX3A9Jzg77jVeqx7DJhZN58IwHGZkzks3Nm7n8+cu5d+W9hGxsv4ntDnZz8wc386XXvkR9Zz0zSmbw39P/y8DMgU5Hi0uqxzBfUSGD7ruXjNNOJdTWRsWN32L7TTcRam93OlpEWWtpfOxxNl1wAV2rV+MbMIDBDz1I+jHHOB0tbqkmwevzcOJnx3DkuUMxBha+uJkn/7iI5trY38BnR1kTD//qfTYsrCYhyctp105g6imD4uoY0rUNHmvtE9ba/tbaJGttkbX2FKczOcEYw+ePHsKj1x9F/5wUllc0ccZf3uKetzcRDLl7geyD0RUIcuur6zj/9rcpr2tndHEGz371aM6epFECTlI97mbIsXDD2zD4GGirDo9oee7b0BmDU0SsheX/g9tnhBtaKblw6UNw8i/Bo5F0TlE9fqgkvYT7T7+fi0ddTCAU4OYFN3PdK9extXmr09EiYkXtinAja9W9eI2Xr0/9OrfPvp3MxEyno8Ut1eOHPCkplP7pTxT/7KeYpCSaHnucTeedT9v895yOFhH+qmoqvvZ1Km+6CdvRQeYZZzDkicdJGj7c6WhxTTUZZoxh2qmDOeebU0jLTmJHWTMP/+p9Vr5VgY3BY8hAd5D5T27k8VsW0VLXScHADC7+4WEM4qm3uwAAGURJREFUnVLgdLQ+59oGj3zU1IE5PP/1YzhrUgnt3UF+9swqzv/726zc3uR0tF7z7sY6TvvzW9z66nr8QctnjxrEk1+eyfBCjRIQl8ksgaueghN+BMYLH/wT/nY4rHoq3BSJBfWb4L8XwGNfgPbacEPrhrdh1GlOJxP5iOSEZH505I+49fhbyUrKYn7lfM57+jzuWn4X/mBsbN3c2t3Kb9/7LZc9dxlr6tdQml7Kf077D1+c8EU8Rm/lxD2MMeRccgmDH32EpBEj6N68mS1XX8327/+AQEOD0/F6hQ0Gqf/v/ZSdfjotr7yCSU2l329/S8ktN+N1wW5KIrsrHZnDJT86nCGT8unuDDL3/rU8fssi6ipanY7Wa7auqufBX7zHwhc3Y0OWybMHcMF3p5FdlOp0NEc4t+2EHLDMZB+3XTqFMyf242dPr2TptibOum0eF00fwNdnj6BfVorTEQ9KWU0rf3x5Hc8trwRgWEEavz5vAkcOzXM4mcg+eLxw7Hdg5KnwzDegYgE8chUMOQ5m/wxKpzqd8OC018O8/4P374RAJyRnwUm/hClXgkcHkuJeJw48kckFk7llwS08W/Ysf170Z57a8BRfnfJVThp0UlQOz/aH/Dy+7nHuWHYHtR21eI2Xq8ZexfWTrifVF59vXCU6JI8cyeDH/kf9v/5F7e130PTkk7TMmUP+tdeQc/nleJKTnY54wKy1tM2bR/X/t3fv0VXWd77H379cyYUk5CKBQBJuRRQCCNqiyEClrWjF1nNOnepp69QzXeqc2rNW58xMx9POmZ7VM390elvTrrGdaWvHumrbNfU41PGCVrwwoohyLXKRWwCBcEkCSSAEfuePnaIiBATCfnb2+7XWsyR5QvbHvfmQZ3/5Pc/z7e9wZO1aAErnzKH2q/+L/OGuNFdyDSrNZ95dk9i4bA8v/moDuza18atvLOWymcOZfmMjJeWF6Y54TvbtPMTLj25i84q9AFQOL2H27ZcybEx5mpOllwOeDPSxy2u5Zmw133pqHf/y0lYeXtrMI6/v4I6rG/nTWaOpLs2Mku5o7eL7v9vIr15t5tjxSGFeDvfMHstds0d7IWVljtpJcOdTsOyn8PTXYfNz8E9z4LKbYfZX4JIJ6U54dg63p1Yivfg9ONK7MnDSp1IXly71LlnKDFVFVfzdtX/H/DHz+cbL32BL+xa+/NyXubzqcr449YtcPfzqjBj09Bzv4cktT/KD5T+g+WDqdLOm6ia+NuNrjK8cn+Z00tnJKSig+u67KZs3j11f/zod//ESe7759+z/lwep/rN7KP/EJ8gpKEh3zDOKMdL12mu0fPd7dC5dCkBebS1D7/trBs+dmxF/p0ghBMZNH0r9ZZUs+X+bWPPCDlY/v4M3lrzF5A+PZMrcegaV5qc75llpa+ni1X/fzLolu4gR8gpyuPLGUUyeOzJrLqTcFwc8Gaq0MI+/uelyPvOhBr61cD2PrXyLHz6/iZ/+xxZumVrHnTNHMW5oMk9tWt7cyj+/sInHV+/i2PFIbk7g01eN5N7rMncVkrJcTi5c+d/g8ltg8Xfh5R+mTtf6/aMwdm7qFuujZ0MSDwJbt6XyLvsZdB9MfW70HLjua5m7CklZb8bwGTxy8yM8suER/nHFP7Jm3xruevouxg0Zx2cv+yw3jLqBgtzkvbE81H2I32z4DQ+tfYidHTsBaCxr5N4r7mVuvW8klZkKGhsZ+eMf0/HiYvZ8+9scWbuWXV/7G1r+4R+ovP12Km69lbwhQ9Id8z1iTw8HFy5k3wMPcHjFSgByysup/sIXGHL7bRm5CkkqLM7nj24bz6TZI1jy6JtsXrGXZU9sZcUzzYyfMYzJHx7BkNqSdMd8jxgju95sY/kzzWxe3kKMkJMTuHzWcKbfkLmrkPqDA54MN7qmlB/cdgV3zWrje89s4Jk3dvPw0mYeXtrMjNFVfPKKOuZNrGXwoPROZPd3dLNgxU5+89p2VmxPrQ7Iywl8YspwvnjdOMbUeM6yBoDiSvjI1+GDd8EL34LXH4KNT6e26vEw5dOpVTHldenNefQwrH8cVvwSNjwF8Vjq8w0zYdafw5g56c0nXQD5Ofl8avyn+Pjoj/OLN37Bz9f+nA0HNvDVxV/lO8u+w42jb+Sm0TdxaeWlaR2cHI/HWbZ7Gb/d9Fue3PIkHUdTd8psKGvg8xM/z/wx88nL8XBNmS2EQOm1Mym55mraH3+cfT/6J46sW0fLd7/H3vt/yOCPfITy+fMpuXoGITe9q7iPvPkmbY/+G20LFtDzVuryAbnl5Qy5/TYq77iD3DIvaq7MVzm8hBvubmLXpjaWPraFbWv2seb5Hax5fgcjLh3CpR+qZdSUGgoGpffnT2d7NxuW7mbdy7to2Zb6h8ic3MD4K4cy/cZGyms8XflkHjEMEJNGlPPPn5vOppZD/HTxFn69rJmXNu3jpU37+Nqjq7nu0qF8+NJLmPWBGmoGX5wJ587WLhata+GZtbt5bn0LPb1XbB88KI/bPljPHVc3umJHA1PZcLjxWzDnPnj1J6nr2exdB0//b3j6b6FxJoy/AcZ9BKrGXpyVPV2tsOlZ2LAQ1v727dOwcvJg4qdgxj0wfGr/55AusuL8Yu6cdCefuewzPLHlCX625mesP7CeB3//IA/+/kHGVoxlbsNcZtbNZGLVRHIvwh3iuo9189qe13hx+4ss3LrwxGodgCtrr+Szl32WWSNmeQFlDTghJ4fyG2+k7IYb6FyyhH0PPEDHc8/TvmAB7QsWkFtTTdlHP0bprGspvuoqcor6/zgxHj/O4bVr6XjhBQ4ufJrDa9ac2FfQ2EjlHZ+j/OabL0oW6WKrHV3OTV+czP6dHaz4XTPrluxi+xsH2P7GAfIK1jFqcg0NE6uov7ySotKLs/K1fW8X29bsY/PKfTSv3X/irl+FJXlMnFXHpNkjXLHTBwc8A8zomlL+zycm8j+vH8/jq97iX1/bwSub9/PYqrdOXMR4Ul05VzZWMnlkOVNHDmFkZdF5/+vl8eORTXsPsby5jRXNrby8eR/rd799dfbcnMDs8TV8cmodH72slqICr7GjLFBcmVoRc82XUqt4VjwM6x6HLS+ktie/AhUNqVuv102DEdOhZgLkXoC/mtt3wvZXYccyaH4Zml95e6UOwLApMPmPYeJ/8ho7ygoFuQXMHzOfm0bfxKq9q1jw5gKe2PIEG1s3srF1I/evuJ+Kwgquqr2KppomJlVPYkLVBIryzv9NXXt3O6v3rmb13tWsbFnJK7teoaun68T+YSXDTqwoGl0x+rwfT0q6EAIlM2ZQMmMG3c3NtC1YQNujj3J06zYOPPQQBx56iFBYSPH06RRNmUJR0yQGNTVdkFO5jh85wpG1a+lauYqulSvpWLKEY3v3ntifU1rK4Os/Rvn8+RRPn07wBgPKApXDS5jzXy9lxifHsHHZHta/vIu33mxjw9LdbFi6GwJc0lDGsLHlDG0sY2hjGYOrBl2Q95AHdnWwZ0s7u7ccZOf6AxzY1Xlif05OoKGpmvEfrKWxqYq8fN9DnokDngGqbFA+t15Zz61X1rP9QCcLf7+bRetaWLJpH6t2tLFqx9u3Vx9cmEdjdQkNVcU0VBVTVVJIRXE+FcX5FBfkEYB1+48xaNM+Dh3uobXrKK2d3bQcOsK2fZ1s2dfJ1n0ddHYfe1eGkoJcrhlbzZxLL+G6CZdwyWDPVVaWys1P3V58/LzUSpr1T8LGhbDxGWjdCq8/mNoAcguhchRUjk5tg2uhaEhqKyyDkEN56xrYkgdHu1Lfr+tA6lbmB7bAvjdh/ybo2v/uDDl5UD8Txs1NrR6q8UKtyk4hBJpqmmiqaeIvrvwLXnrrJV7Y/gIv7niR7Ye289TWp3hq61MA5IQchpUMo35wPfVl9dSW1FJRWEFZQRllhWXkhTw2Ht5I6a5Suo93097dTvuRdlqPtLLz0E62HdzGtvZt7O7c/Z4c44aMY2bdTGbVzeKKoVe4WkdZq2DkSGruuYfqu+/m8KpVHFq0iEPPv8Dh1avpWLyYjsWLT3xtXk0N+Q31FNQ3kD+ijtyKCnLLy8ktryCnMLW6IH/DBjoGDeJYezvH2to43tbG0V276d62laNbt9G9Ywf09LwrQ15tLaXXXkvJrGspvfZar6+jrDWoJJ+Js+qYOKuOtpYuNq9oYduafezY0MqeLe3s2dJ+4msLi/MorymivKaIspoiigYXMKgkn8LiPPILcwkBOvZEdqw7QPfhHo509nC44yidbd20tXTR1tJJ254ueo4ef1eGgkG5jJxQSf3EKkY1VVM0OHnXzEsyBzxZYMSQYv7kmlH8yTWj6Oo+xtIt+1ne3MqK5laWN7eyr6P7PUOfU3plSZ+7a8sGMWVkBZNHVjC1voIr6odQkOcBq/QuRRUw+dbUdvwY7FyeWmGzY1nqVusHtkDLG6ntNKYCLD/D4xSWQ91UqJueWhnUcHXqlueSTsjPzWfWiFnMGjGLGCNb27fy2p7XWLV3FataVrGhdQM7Du1gx6EdvPTWS6f/Rk+e4XFy8plQOYFJNZOYWD2R6UOnU1tSe2H/Z6QMF0KgqKmJoqYmau69l569e+lcuvTESpvDa9bQ09JCT0sLXa8uO+33qQS29f1AFIwdQ1HTZIqaJlE09QoKPzDOi5hLJymvKWLK3HqmzK3n6JFj7NzYyu7N7ezenBr0HO44yp6tB9mz9WCf32fL717vc3/pkEKGjirjksYyakeXM3RUmXfDOg8OeLJMUUEusz5Qw6wP1ACpK5Lv7+g+sQpn2/5OWjtTK3Rau47SeSS1Kqe1rZWK8gpKB+VRUZRPeXE+lcUF1FcV01iVWv1TUex0VXpfcnJhxLTU9gdHDsL+zalVOPs3Qcfe1AqdrgNwpB1iPNFH8gpTp4EVDYGiShjSAENGvb3yx4NV6ayFEGgsb6SxvJFbxt0CpK6Vs/3Qdprbm9l2cBstnS20dbfRdqSN9u52jh0/RltbG+Xl5eTn5FNWWEZ5YTllBWUnVv6MLBvJsJJhXihZep/yqqspmzePsnnzAIjHjtGzaxfd27bRvXUbR3fu5Fh7G8fa2jjW2ko8ehSAttY2KoYMIae87MTqnrzqagoa6imoryd/5EhX6EjvU35hLg2XV9FweRWQeg/ZdfDoiZU47S1dHO5IrdA50nmUo73vIf/wM7KgKI9BxfkUluRRVFpA+SVFJ1b/FBZnxu3ZM4VHG1kuhEBVaSFVpYVMazj9ec2LFi1i9uwZFzGZlKUKB8OwptR2GssXLWL27NkXL5OUpQpyCxhdPprR5ae/Ls4i+yhdFCE3l/y6OvLr6iiZcfpj0kWLFjHZTkr9KoRAcVkBxWUFDBtz+hXiqZ+R0067Xxeea58kSZIkSZIynAMeSZIkSZKkDOeAR5IkSZIkKcM54JEkSZIkScpwDngkSZIkSZIynAMeSZIkSZKkDOeAR5IkSZIkKcM54JEkSZIkScpwDngkSZIkSZIynAMeSZIkSZKkDOeAR5IkSZIkKcM54JEkSZIkScpwDngkSZIkSZIynAMeSZIkSZKkDOeAR5IkSZIkKcM54JEkSZIkScpwiR3whBC+GUJ4I4SwMoTwSAihIt2ZpGxlH6XksI9ScthHKVnspLJdYgc8wEJgYoyxCVgPfCXNeaRsZh+l5LCPUnLYRylZ7KSyWmIHPDHGp2KMPb0fLgFGpDOPlM3so5Qc9lFKDvsoJYudVLYLMcZ0ZzijEMIC4Jcxxp+fYt8XgC8ADB06dNrDDz98To9x6NAhSktLzyvnhWSevg2kPHPmzFkWY5x+gSP1G/uYfubpm3181/7z7uRAen37Q9LyQPIynWse+/heSXttIXmZzNO3bOkjeMyaBObpW78cs8YY07YBTwOrT7Hd/I6vuQ94hN5hVF/btGnT4rl69tlnz/n39gfz9G0g5QFejWns4R82+3h65unbQMozUPsYz6OTA+n17Q9JyxNj8jKdax77+F5Je21jTF4m8/Qt0/sY+6GTHrP2H/P0rT+OWfPe/6zowokxzu1rfwjhc8DHget6/yck9RP7KCWHfZSSwz5KyWInpdNL64CnLyGE64G/BP4oxtiZ7jxSNrOPUnLYRyk57KOULHZS2S6xF1kGvg8MBhaGEJaHEO5PdyApi9lHKTnso5Qc9lFKFjuprJbYFTwxxrHpziApxT5KyWEfpeSwj1Ky2ElluySv4JEkSZIkSdJZcMAjSZIkSZKU4RzwSJIkSZIkZTgHPJIkSZIkSRnOAY8kSZIkSVKGc8AjSZIkSZKU4RzwSJIkSZIkZTgHPJIkSZIkSRkuxBjTneGCCSG0AFvP8bdXA3svYJzzZZ6+DaQ8DTHGmgsZJgnsY78yT9/s4ymcRycH0uvbH5KWB5KX6Vzz2Mf3StprC8nLZJ6+2ceTeMzar8zTtwt+zDqgBjznI4Twaoxxerpz/IF5+maegS1pz6d5+maegS1pz6d5zixpmZKWJ5Ml8blMWibz9C1peTJd0p5P8/QtG/J4ipYkSZIkSVKGc8AjSZIkSZKU4RzwvO1H6Q5wEvP0zTwDW9KeT/P0zTwDW9KeT/OcWdIyJS1PJkvic5m0TObpW9LyZLqkPZ/m6duAz+M1eCRJkiRJkjKcK3gkSZIkSZIynAMeSZIkSZKkDOeAp1cI4ZshhDdCCCtDCI+EECoSkOm/hBDWhBCOhxDScju3EML1IYR1IYSNIYS/SkeGk/L8JISwJ4SwOt1ZAEIII0MIz4YQ1va+Vl9Kd6aBImmdTEIfe3MkppP2MXvYx9PmsI+nYR/7j308bY7E9LE3T2I6aR/7T9L62Jsp7Z20j33rz0464HnbQmBijLEJWA98Jc15AFYDtwDPp+PBQwi5wA+AecBlwKdDCJelI8s7PABcn+YM79QDfDnGOAH4EPBnCXiOBoqkdTKtfYREdvIB7GO2sI8nsY9nZB/7j308SQL7CMnqpH3sP0nrI/ge8lQeIDl9hH7spAOeXjHGp2KMPb0fLgFGpDMPQIxxbYxxXRojXAVsjDFuijF2Aw8DN6cxDzHG54H96czwTjHGt2KMr/X++iCwFqhLb6qBIWmdTEAfIWGdtI/Zwz6ekn3sg33sP/bxlBLVR0hWJ+1j/0laHyERnbSPZ9CfnXTAc2qfBx5Pd4gEqAOa3/HxdvxhcFohhEZgKvBymqMMRHYyxU6eJfvYr+xjin08S/axX9nHFPt4luxjv7KPKfbxfbjQncy7EN8kU4QQngZqT7Hrvhjjo71fcx+pJVMPJSVTGoVTfC5e9BQZIIRQCvwr8D9ijO3pzpMpktbJhPcR7ORZsY/nxj6+b/bxLNjHc2Mf3zf7eBbs47lJWh/PNlMa2cez1B+dzKoBT4xxbl/7QwifAz4OXBdjvCh/CM+UKc22AyPf8fEIYGeasiRWCCGfVDEfijH+Jt15MknSOpnwPoKdPCP7eO7s4/tmH8/APp47+/i+2cczsI/nLml9PJtMaWYfz0J/ddJTtHqFEK4H/hKYH2PsTHeehFgKjAshjAohFAB/DPxbmjMlSgghAD8G1sYYv53uPAOJnTwlO9kH+9h/7OMp2cc+2Mf+Yx9PyT72wT72H/t4SvbxDPqzkw543vZ9YDCwMISwPIRwf7oDhRA+GULYDswAHgshPHkxH7/3gmH/HXiS1IWffhVjXHMxM5wshPAL4CVgfAhhewjhznTmAa4BPgN8uPfPzfIQwg1pzjRQJKqT6e4jJK+T9jGr2MeT2Mczso/9xz6eJGl9hMR10j72n0T1EdLfSft4Vvqtk+EirSKTJEmSJElSP3EFjyRJkiRJUoZzwCNJkiRJkpThHPBIkiRJkiRlOAc8kiRJkiRJGc4BjyRJkiRJUoZzwCNJkiRJkpThHPBIkiRJkiRlOAc8eo8Qwu9CCPEU22PpziZlG/soJYd9lJLDPkrJYieTIcQY051BCRNCOAB8E/jJSbs6Y4ztaYgkZS37KCWHfZSSwz5KyWInkyEv3QGULCGEMUAF8FyMcVea40hZzT5KyWEfpeSwj1Ky2Mnk8BQtnWwacAx4Pd1BJNlHKUHso5Qc9lFKFjuZEA54dLJpQC6wJ4Rw6B3br9MdTMpC9lFKDvsoJYd9lJLFTiaE1+DRu4QQngZagb86aVdbjLHl4ieSspd9lJLDPkrJYR+lZLGTyeEKHp1sKrA4xrjxpK0FIISwOITwod5f/yiE8OdpTSsNbPZRSg77KCWHfZSSxU4mhBdZ1gkhhFFAJX2fO/m3wF/3TmnzY4x/f1HCSVnGPkrJYR+l5LCPUrLYyWTxFC2dEEL4z8CvgQmklti9094YY0/v170CdAIfjTF2X9SQUpawj1Jy2EcpOeyjlCx2MllcwaN3mtb737UnfT6Smsq2hhCuAKqB1RZT6lf2UUoO+yglh32UksVOJogreHTWQgjDgX8HbgF+CfxpjHF5WkNJWco+SslhH6XksI9SstjJi8uLLOushBCKSC29+1KMcRPwf4GvpjeVlJ3so5Qc9lFKDvsoJYudvPhcwSNJkiRJkpThXMEjSZIkSZKU4RzwSJIkSZIkZTgHPJIkSZIkSRnOAY8kSZIkSVKGc8AjSZIkSZKU4RzwSJIkSZIkZTgHPJIkSZIkSRnOAY8kSZIkSVKG+/9HTu7TsHzH9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x936 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2D object\n",
    "J = Jones_vector('Light source')\n",
    "az = np.linspace(0, 90*degrees, 5)\n",
    "el = np.linspace(0, 45*degrees, 3)\n",
    "AZ, EL = np.meshgrid(az, el)\n",
    "J.general_azimuth_ellipticity(amplitude=2, azimuth=AZ, ellipticity=EL)\n",
    "_ = J.draw_ellipse(draw_arrow=True, subplots='as_shape', figsize=(16, 13))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Higher dimensionality object\n",
    "J = Jones_vector('Light source')\n",
    "angles = np.linspace(0, 90*degrees, 5)\n",
    "ell = np.linspace(15, 40, 5)*degrees\n",
    "intensity = np.linspace(1, 3, 3)\n",
    "Ell, I, Angles = np.meshgrid(ell, intensity, angles)\n",
    "J.general_azimuth_ellipticity(azimuth=Angles, ellipticity=Ell, intensity=I)\n",
    "_ = J.draw_ellipse(draw_arrow=True, depol_central=True, subplots='as_shape', figsize=(20, 15))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, it is possible to give the method a 2-element tuple as the desired shape."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Xaa09x3eWvCPEBam/804WMCJy3jIgAEwBPg/cqpSarrWuOb6z5B0hLkgD8T2rox8DyafbKHlncJACs+g3SqlJwFeA57XWyzqsPwr8HrgV+M9gO7cQYujqh9wwVmt9JHLOvUD0eZxLCHEB6OO88yzwC611c4d1f1FKFQLfB+4BuurZI4S4gPVl3tFavwO808VrrgeeBu4i3HtQCDGM9FcNRik1E/g68P8IF7HFICVDZIj+dBuggIdPWv83wA18epCeWwgxdPVpbjheXBZCiA76LO9orbeeVFw+7qnI4+SenlsIMaQNxHehkshjQh+cWwgx+PV53lFKGSPnex14/nzPJ/qW9GAW/WkOEAI2d1yptfYqpXZGtg/Gcwshhi7JDUKI/jYQeScr8ljdB+cWQgx+fZ53lFI2wndq2YCJwK8im14933MLIYak/mjv/BcwAVh2th3FwJMezKI/ZQB1WmtfF9vKgWSllGUQnlsIMXRJbhBC9Ld+zTuR3j3/Q3hcVBkOTIjhqT/yzr1ALVAKvEF47olPa61lUi0hhqc+zTtKqdHAg8CPTzP+sxhkpAez6E8OoKvkA+DtsE/bIDu3EGLoktwghOhv/Z13HgYuAr6ntT54ln2FEBem/sg7LwIHCPdingHcAKScx/mEEENbX+edPwNHgYd6eLzoZ1JgFv3JDaSeZputwz6D7dxCiKFLcoMQor/1W95RSv0EuB94RGv9i944pxBiSOrzvKO1LgPKIk9fVEo9B2xRStkl/wgxLPVZ3lFKfRr4GHCp1trfk3OI/idDZIj+VEH4NglrF9syCd9e0dOrW315biHE0CW5QQjR3/ol7yilfgT8N/BP4Ivnez4hxJDW7+0drfVuYAfw5d48rxBiyOiTvBM530OEx3evUkrlKqVygVGRXeIi6+J7GLfoI1JgFv1pC+H/c3M7roxMGDEd2DpIzy2EGLokNwgh+luf5x2l1A+BHwKPA/dqrfX5nlMIMaQNVHvHDiT20bmFEINbX+UdO+Hhd64FCjss6yLbPx15fm8Pzy/6iBSYRX96CtDA109a/znCY/M8MUjPLYQYuiQ3CCH6W5/mHaXU/wA/AlYCn9Vah87nfEKIC0Kf5R2lVPpp1l8OTAY29vTcQoghra/yTivwiS6W43dLvB55/lIPzy/6iIzBLPqN1nqPUuqPwP1KqecJ3/KQD3wVeI+TZj5XSt1F+LbPB7XWP+rNcwshhoe+zDuR/e/gxO1aKYBFKfXfkeclWuuVvfE+hBBDR1/mHaXUfYRnVD8GvA18SinVcZdqrfVbvfNOhBBDRR+3d/6slBoBrAVKCI+tOgu4FXAC3+y9dyKEGCr6Ku9Exlx+9uT1SqmcyI+HtdanbBcDTwrMor99HSgGPk/4loc64A/A/3TRAycm8ljeB+cWQgwfX6fv8s49wGUnrftJ5PE9wj0MhRDDz9fpm7wzJ/I4EvhXF9vfA6TALMTw9HX6Ju88CXwGuIPwxXRNuND8V+D/tNbHzjdwIcSQ9XX67nuWGGKkwCz6SoJSygU0aa0Dx1dqrYPAbyLL2VwOFAGPdecFz+XcSqlYwAJ0NSC9EGJoGoi8s6i7wUneEeKC1K95R2t9F3BXd4OTvCPEBam/887TwNPdDU7yjhAXpH7/nnUyrXUxoLraJnlncJACs+gr2yOPlwAfnOvBSikTsBi4J3KLRG97GriqD84rhBg4kneEEP1N8o4Qor9J3hFC9DfJO+KslEw6LXqTUmoMMKbDqi1a6+aBiud0lFLTgeTjz7XWbw9cNEKI8yF5RwjR3yTvCCH6m+QdIUR/k7wjzoUUmIUQQgghhBBCCCGEEEL0iGGgAxBCCCGEEEIIIYQQQggxNA3LMZiTk5N1Tk7OGfdpbW0lKiqqfwKSOIZUHIMhhqEWx7Zt2+q01in9FNKgJHlnaMYxGGKQOHoWh+QdyTtDMQaJY2jHMdzzTndyDgytf9PhEIPEMTjj6G4MkneGTt4ZDDFIHIMzjsEQw7nEcdq8o7UedsusWbP02bz77rtn3ac/SBydDYY4BkMMWg+tOICtehD87Q/kInnn3A2GOAZDDFpLHCeTvCN550KNQWuJ42RDKY7hnne6k3O0Hlr/psMhBq0ljpMNhji6G4PknaGTdwZDDFpLHCcbDHEMhhi0Pv+8I0NkCCGEEEIIIYQQQgghhOgRKTALIYQQQgghhBBCCCGE6BEpMAshhBBCCCGEEEIIIYTokWE5yZ8Qfc3v91NWVobX6+2z14iLi6OgoKDPzt+TOGw2G1lZWZjN5gGOSojhR/KO5B0hhBhsuvpsGoyfJb1NPpuEGDiDNe/0dQySd8RAG9QFZqXUP4DrgBqt9eQuti8CVgNHI6ue11r/uN8CFOI0ysrKiImJIScnB6VUn7yG0+kkJiamT87dkzi01tTX11NWVsbo0aMHOqwek7wjhirJO5J3hBCiu/or73T12TTYPkt624Xy2SREb+rPts5gzTt9GYPkHTEYDPYhMh4Drj7LPu9rradHFvmyJQYFr9dLUlJSnxV5BiOlFElJSX3ae7KfPIbkHTEESd4Z0h5D8o4Qon89Rj/kHflsEkJEPEY/tXUk7wgxMAZ1gVlrvR5oGOg4hOiJ4fSBdtyF8J4l74ih7EL4GzxXF8J7lrwjhOhv/Zl3LoQ8fa6G43sW4kz6u60zHP8Gh+N7FoPLoC4wd9N8pdQupdRrSqlJAx2MEGJYkLwjhOhvkneEEP1N8o4Qoj9JzhFiCFNa64GO4YyUUjnAmtOM0xMLhLTWLqXUUuB3Wuu805zn88DnAdLS0matWrXqjK/rcrmIjo4+3/DPm8Qx+OLoTgxxcXHk5ub2aRzBYBCj0dinr9GTOIqKimhubu60z+WXX75Naz27v2PrKck7EsdgiqG7cUjekbwT2VfyzhCOQeIY2nEMx7xztpzT1WfTYP0s6W1dfTadbCj9/5Y4BmcMQynv9FdbZ7Dmnf6IQfLO0IxjMMRwLnGcNu9orQf1AuQAe7u5bzGQfLb9Zs2apc/m3XffPes+/UHi6GwwxNGdGPbv39/ncbS0tJx229GjR7XNZtPTpk1rX/faa6/pcePG6bFjx+pf/OIXZz1/KBTSX/nKV/TYsWP1lClT9LZt27TWWrvdbj1t2jRtNpt1bW3tKXF09d6BrXoQ5JPuLpJ33h3oELTWgyOOwRCD1sMn7xy3efNmbTAY9DPPPKO1lrzTxb6Sdy7QGLSWOE42lOIY7nmnq5zTVX4+02dJbzv5s+nYsWN60aJFesKECXrChAn64YcfPus5utsmPll3PpeH0v/v/iBxnHsMQynv9FdbZ7DmnXHjxumJEyd2K+8cd7Y28ckk75y7wRDHYIhB6/PPO0N6iAylVLqKDDSjlJpLeMiP+oGNSojBYezYsezcuRMIXy297777eO2119i/fz9PPvkk+/fvP+Pxr732GoWFhRQWFvLII4/wpS99CQC73c7OnTvJyMjo67cwKEneEeL0zjfvHD/ugQce4KqrrmpfJ3lH8o4Qon9dSHmn42eTyWTiN7/5DQUFBbzzzjv88Y9/lDaxEIPAhZRzoOu8s3XrVjZu3NitvAPSJhZDj2mgAzgTpdSTwCIgWSlVBvwQMANorf8C3AJ8SSkVADzArZFquhCDRs53XumT8+75/qXd3nfz5s3k5uYyZswYAG699VZWr17NxIkTT3vM6tWrufPOO1FKcdFFF9HU1ERlZSUjRow479gHM8k74kLwxy+u7ZPz3vl/c7q9b0/yDsAf/vAHli1bxpYtW84r1qFE8o4Qor8NRN6Z8q8p5xXz6ez5zJ5u7ztixIj2tmxMTAz5+fmUl5dLm1iIPjZQbZ2y77zf/vOZB444N1m/vKTb+x7PO06ns9t5B4Znm1gMbYO6wKy1vu0s21cAK/opHCGGrPLycrKzs9ufZ2VlsWnTpnM+pry8/IJvTEveEaJ39DTvvPDCC6xdu3ZYNaYl7wgh+pvkHSgpKWHHjh3MmzfvjPsN1zaxEL1Jck5YcXFxt/POcGwTi6FtUBeYhbgQFP/y2j45r9Pp7Pa+XV38jdyB1KvHCCEGh/v+srhPztvXeefrX/86v/rVrwZ8EhYhhBC973hP4+O9+AaSy+Xijjvu4OGHHyY2NvaM+0qbWIih63hP48GSd5YtW9atvCNtYjEUSYFZiGEgKyuL0tLS9udlZWVnHbepJ8cIIcRxPckhW7du5dZbbwWgrq6OV199FZPJxI033tiXoQohhBhG/H4/y5YtY/ny5dx8881n3V/axEKI8+X3+/n0pz/N7bff3q28I21iMRQN6Un+hBDdM2fOHAoLCzl69ChtbW2sWrWKG264AYAVK1awYsWpdyPdcMMNPP7442it2bhxI3FxcXIroBCi23qSd44ePUpxcTHFxcXccsst/OlPf5KGtBBCiF6jteaee+4hPz+f+++/v9M2aRMLIfrC8bwzfvx4vvGNb3TaJm1icSGRArMQw4DJZGLFihVcddVV5Ofns3z5ciZNmgTAgQMHSEpKOuWYpUuXMmbMGHJzc/nc5z7Hn/70p/4OWwgxhPUk7wghhBB9acOGDaxcuZK1a9dy8cUXM336dF599VVA2sRCiL5xPO+sX7+e6dOndyvvCDEUyRAZQgwTS5cuZenSpaesLy4u5qGHHjplvVKKP/7xj/0RmhDiAnWueaejxx57rI+iEkIIMVwtXLiwfUzlk8dklTaxEKIvHM87XY0DLW1icSGRHsxCXICMRiPNzc1Mnz79rPuuWbMGi8XS7XN7PB6mT5+O3+/HYJAUIoQIk7wjhBBisJHPJiFEf5O8I4Yr6cEsxAUoOzu702Qkvclut7Nz5872506ns09eRwgxtEjeEUIIMdj052eTEEKA5B0xfMklDyGEEEIIIYQQQgghhBA9IgVmIYQQQgghhBBCCCGEED0iBWYhhBBCCCGEEEIIIYQQPSIFZiGEEEIIIYQQQgghhBA9IgVmIS5AxcXF2O32TjPXvv7664wfP57c3Fx++ctfnvUcBw4cYP78+VitVn7961+3rz8+c63FYqGurq4vwhdCDEG9kXfWrVtHXFwc06dPZ/r06fz4xz8GJO8IIYTomZM/m0pLS7n88svJz89n7ty5/O53vzvrOaRNLIQ4F6fLO7Nnz2bSpEndyjvSJhZDkWmgAxBC9I2xY8e2zzAbDAa57777eOutt8jKymLOnDnccMMNTJw48bTHJyYm8vvf/54XX3yx0/rjM9fm5OT0XfBCiCHpfPMOwCWXXMKaNWs6rZO8I4QQoqc6fjaZTCZ+85vfMHPmTCoqKli0aBFXXnmltImFEL2qq7yTl5cHwKxZs86ad0DaxGLokQKzEH3tR3F9c95vlnV7182bN5Obm8uYMWMAuPXWW1m9evUZP9RSU1NJTU3llVdeOe9QhRD96zefvK5Pzvv5R5/s9r49yTtCCCEuXAUT8vvkvPkHCrq974gRIxgxYgQAMTEx5OfnU15eLm1iIS5QP/rRjwb8vMfzjtPp7HbeEWIokiEyhBgGysvLyc7Obn+elZVFeXn5AEYkhLjQ9TTvfPTRR0ybNo1rrrmGffv29WWIQgghhrGSkhJ27NjBvHnzBjoUIcQwUVxc3O28I21iMdRID2Yh+tqPmvvmvE5nt3fVWp+yTinVm9EIIQaRbz615uw79YCzj/POzJkzKSkpITo6mldffZUbb7yRwsLCc45TCCHE4HO8p/HxXnwDyeVycccdd/Dwww8TGxs7oLEIIfrO8Z7GgyXvLFu2rFt5R9rEYiiSHsxCDANZWVmUlpa2Py8rKyMjI2MAIxJCXOh6kndiY2OJjo4GYOnSpfj9fpnARAghRK/y+/0sW7aM5cuXc/PNNw90OEKIYcDv9/PpT3+a22+/vVt5R9rEYiiSArMQw8CcOXMoLCzk6NGjtLW1sWrVKm644QYAVqxYwYoVKwY4QiHEhaYneaeqqqq95/PmzZsJhUIkJSX1a9xCCCEuXFpr7rnnHvLz87n//vs7bZM2sRCiLxzPO+PHj+cb3/hGp23SJhYXEhkiQ4hhwGQysWLFCq666iqCwSB33303kyZNAuDAgQNcfPHFpxxTVVXF7NmzaWlpwWAw8PDDD7N//365jVAI0S09yTvPPvssf/7znzGZTNjtdlatWiXD+QghhOg1GzZsYOXKlUyZMoW1a9diMBj4+c9/ztKlS6VNLIToE8fzzqRJk5g+fTrAWfOOtInFUCQFZiGGiaVLl7J06dJT1hcXF/PQQw+dsj49PZ2ysrL+CE0IcYE617xz//33n9KjTAghhOgtCxcubO8VePKYrNImFkL0heN5p6txoKVNLC4kMkSGEBcgo9FIc3Nz+xXSM1mzZg0Wi6Xb5/Z4PEyfPh2/34/BIClECBEmeUcIIcRgI59NQoj+JnlHDFfSg1mIC1B2dnanybV6k91uZ+fOne3PnU5nn7yOEGJokbwjhBBisOnPzyYhhADJO2L4kkseQgghhBBCCCGEEEIIIXpECsxCCCGEEEIIIYQQQgghekQKzEIIIYQQQgghhBBCCCF6ZFAXmJVS/1BK1Sil9p5mu1JK/V4pVaSU2q2UmtnfMQohLiySd4QQ/U3yjhCiv0neEUL0J8k5Qlz4BnWBGXgMuPoM268B8iLL54E/90NMQgx6xcXF2O32TjPXvv7664wfP57c3Fx++ctfnvUcTzzxBFOnTmXq1KksWLCAXbt2ASdmrrVYLNTV1fXVWxhIjyF5R4hz1lXeufvuu0lNTWXy5MndOofWmq9+9avk5uYydepUtm/fDkjeQfKOEKL3PcYwyDsnfzaVlpZy+eWXk5+fz9y5c/nd73531nMM4zaxEL3pMYZBzoFT847X62Xu3LksWLCASZMm8cMf/vCs5xjGbWIxhA3qArPWej3QcIZdPg48rsM2AvFKqRH9E50Qg9vYsWPbZ5gNBoPcd999vPbaa+zfv58nn3yS/fv3n/H40aNH895777F7925+8IMf8PnPfx44MXNtRkZGX7+FASF5R4ie65h3AO666y5ef/31bh//2muvUVhYSGFhIY888ghf+tKXAMk7SN4RQvSy4ZR3On42mUwmfvOb31BQUMA777zDH//4R2kTC9EPhlPOgc55x2q1snbtWj788EN27tzJ66+/zsaNG894/HBtE4uhzTTQAZynTKC0w/OyyLrKk3dUSn2e8JUw0tLSWLdu3RlP7HK5zrpPf5A4Bl8c3YkhLi4Op9MJwILnF/RJHO9//P321ziZy+UiFAq1b9+0aRM5OTmkpKTg8/m46aabePrpp/nmN7952vNPmTIFAKfTyaRJkygtLe30elprXC4XJpOp03qv1zvg/0Z9TPLOMIpjMMTQ3Tg65p3mn+3skziivzOl23kHYMaMGZSUlJyy/nSeffZZPvGJT+ByuZg0aRINDQ0UFhaSnp4OSN7p8FzyzgUag8QhcQwi3co7Z8s5HT+bHv/2lj4J9M7/m3PabSd/NkVHR5OXl4fT6cThcJCXl0dhYSHZ2dmnPUd328RWq7XTcd35bBos/68kjsEXx2CIoZ/1WlunY97ZvGV6nwQ7d87O027rqk0M4U5fDQ0N+Hw+3G73GdvG3W0TS965MOIYDDH0RhxDvcCsulinu9pRa/0I8AjA7Nmz9aJFi8544nXr1nG2ffqDxDH44uhODAUFBcTExPRpHEaj8bSvER0djcFgaN/e1NTE6NGj25+PHTuWTZs2dTvGv/71ryxdurTT/kopoqOjT4nDZrMxY8aMnr6toUDyzjCKYzDE0N04Ouad5j6K41zyztnWd6WmpoZx48a17zty5Eiam5vJy8sDJO+cRPLOBRiDxCFxDCLdyjtnyzn90SY+0/nP9Bm0d+9e9uzZw+WXX94rbeKTz9Gdz6bB8v9K4hh8cQyGGPpZr7V1BmPeCQaDzJgxgyNHjnDfffexePHiM56/u21iyTsXRhyDIYbeiGOoF5jLgI6Xm7OAigGKRYgu7fnMnj45b3d6Ax6n9amfzUp19Rl+qnfffZe///3vfPDBB91+vQuc5B0x6GX98pI+Oe+55J2eOJ9cdYGTvCOE6G+9nnfu+0u4oOJ0Ovu8+HM2LpeLO+64g4cffpjY2NhuHSNtYiH6VJ+0dZYsPgwMfN4xGo1s2LCBYDDITTfdxN69e884R4m0icVQNKjHYO6Gl4A7IzOOXgQ0a61PuYVCiOEuKyuL0tITdxyVlZV1a9ym3bt3c++997J69WqSkpL6MsShRPKOEH2kp7lqGJC8I4Tobxds3vH7/Sxbtozly5dz8803d+sYaRML0ecu2JzTUXx8PIsWLTrrHCXSJhZD0aDuwayUehJYBCQrpcqAHwJmAK31X4BXgaVAEeAGPjswkQoxuM2ZM4fCwkKOHj1KZmYmq1at4j//+Q8AK1asAOD+++/vdMyxY8e4+eabWblyJePGjev3mAeK5B0h+t7p8s4NN9zAihUruPXWW9m0aRNxcXGMGDFk53fpNsk7Qoj+Nlzzjtaae+65h/z8/FM+g6RNLETfGa45B6C2thaz2YzRaMTj8fD222/zwAMPAMOnTRwIBKivr6ehoQGn04nT6aSwsJCysjJaW1vx+/2dlmAwiMFgwGg0YjQaMZlMmEwmHA4HUVFR7Ut0dDRJSUkkJSURFxeHwTDU+9AObYO6wKy1vu0s2zVwXz+FI8SQZTKZWLFiBVdddRXBYJC7776bSZMmAXDgwAEuvvjiU4758Y9/TH19PV/+8pfbz7F169Z+jXsgSN4ZPgJ+P676OrwuJz63G5+nFZ+7lTa3m1AwCEDV4cNsaakHwGg2Y3VEYXE4sNqjsDoc2GPjiE5IxGA0DuRbGbRuu+021q1bR11dHVlZWTz44IPcc889p807S5cu5dVXXyU3NxeHw8E///nPAYi6/0neGWba3NBSAS1lkcdyaKkEbzP4nEyvKYMDRmhrBR0CZTixGIxgdoA9HmzxYE8I/xydBgk5ED8K4keC2Taw71EMesM172zYsIGVK1cyZcoU1q5di8Fg4Oc//zlLly6VNrEQfWi45hyAyspKPvOZz+D3+wFYvnw51113HXD67+JDuU3c3NxMWVkZFRUV1NXVUVtbS2NjY5fDfpxJKBQiEAh0WtfQ0HDa/Y1GI0lJSaSkpJCVlUVWVhbp6emYzeYevQ9x7gZ1gVkI0XuWLl3K0qVLT1lfXFzMQw89dMr6Rx99lEcffbQ/QhOizwTa2qgvL6XuWDF1pSW01NbQUleDs66W1qbGbp2jfOP6M25XBgPRiUnEJqcQm5xKXFo6ydk5pIzKIT59BAbD8C0+P/nkk12uP13eUUrxxz/+sa/DEqJ/BANQWwDV+8OPNQVQsx+ajp3xsHg4/5k6o9MhZRykT4UR08KPyXnhArUQw9jChQvbixwnj8kqbWIhRF+YOnUqO3bs6HIc6KHeJtZaU11dzZEjRygrK6OsrIyWlpZT9lNKkZiYSFJSErGxscTExFBRUcGsWbOIiorCYrFgNpvbF6PRSCgUIhgMti9+vx+3201ra2v70tzcTH19PfX19bhcLmpqaqipqWHfvn0AGAwG0tPTycnJIS8vj+zsbEwmKYP2FfnNCnEBMhqNNDc3M336dHbu3HnGfdesWXNO5/Z4PMyfPx+/3y+3oIhBRYdC1JUdo7xgH+UH91NbcpSGijJ0KNTl/spgIDohCXtsLFZHuEfy8R7KRlP4SnfpsWNkjxyJ1pqgvy3c0znSy9nnbsXd3ERrUyPOulqcdbWUs7/Ta5jMFpKyR5I6eiyZ4yeSlT+Z2JTUC3KSDsk7YtjztkDZFijdBMc2QtlW8Leeup/BDHGZEJsJsRmRJTPcG9kSzc6CIqbPXQiW6HBBWGvQwXBv5lAw3LPZ2wSeJvA0hpeWcmgqgcYSaC4DV1V4OdrhApnZAZmzYPRlMPpSyJwJRunVIy5s8tkkhOhvF3re8Xg8HD58mKKiIoqKinC5XJ22W61WsrKyyMzMJDU1lZSUFBITE0/pSbxu3TrGjx/fa3F5vV7q6+upqqqivLycsrIyampqqKiooKKigg8//BCLxcLYsWPJy8tjwoQJOByOXnt9IQVmIS5I2dnZnSYF6E12u73TB6XT6eyT1xGiOxoryzmyfQul+/dQXrAPb2vnBo5SBhIyskgZmUPyyFHEp2cQm5RCTHJKt4a2WLduHZctWnTGfY4PtdFSV0tLXQ2NleXUHSum9lgxzrpaqo8UUX2kiD3vvAFATFIKmRMmMnLyNMbMnENUfMJ5/Q4GC8k7YtjRGmoPwKE3wkvppnAhuKOEnHDv4dSJkJofXhLHnLGw21S1Llz87algIDz8Rk0BVO6Cyt1QtRuaS6H4/fDyLmCOglELYPw1kH89RKf2/DWFGKT687NJCCHgwsw7Xq+XgoIC9u7dy5EjRzoNdxETE8PYsWMZNWoUWVlZJCUl9UnxW4c0OhCCkIaQRkce0aDMBqxmCxkZGWRmZjJr1qz2uMvLyzl8+DCFhYXU1tZSUFBAQUEBr7zyCuPGjcNgMBAIBKRncy+Q36AQQoghIxQKUll4iMNbN3J46yYaKso6bY9OSiZrwiSy8ieRPnYciVnZmC3WPo3JZDYTnz6C+PRTJ97wtrqoKymm8vAhygr2Un5gH876Wg5seI8DG94DpRiRO46xsy8id/Y8EjOzL8jezUJcMLSG0s2w91k4+Do0dxjuQhnDPYSzL4KRF0H2PIhJ6/8YjaZwYTshJ1w8Pq61Dko2hHs1H30f6g5C0Vvh5ZVvhovN+TfAxBvCvaqFEEIIMWwFAgEOHTrEnj17OHToEMHIHDUGg4FRo0aRm5tLbm4uaWlp5/X9RftDBJq8BJt8BBt9BBojP7f6Cbn9aE+AUGThbMM4q3CxWVmMGGMsGGIsJMRYmBczjgUzJ9Nq81PirOBAcSFHjx6loKAAgCNHjjB16lTmzZtHYmJij9/LcCcFZiGEEINefdkx9r33Dvvff5fWxhOTO1ijohg9fTY502YOyuEnbFHRZE2cTNbEycy5/ub2YTzK9u/h6M5tHNu7i8rCg1QWHuSDJ/9FUtZIJl66mImXXE50YtJAhy+EOK6uEHY/DXuehsbiE+sdyZD3MRj3MRi7GGxxAxbiWUUlw8SPhxcAZxUUvQMFL8Phd8LF55IN8MZ3IfdKkqyzILgwXLAWQgghxLDQ3NzMtm3b2L59e6fhL3Jycpg8eTITJ07s0dASOqQJ1HnwV7Xir2olfZ+Bqi1bCDR4z144Ps5kQBkVGBTKEH6EcJFa+4MQ1Oi2ELotRMjlh8pThyrLADItufiScjlirmF3UyEtnlY2bdrE5s2bmTBhAvPnzyc7Wzr+nCtpMQohhBiUgj4fO994hX3vvU3V4cL29XGpaYydfRFjZ80jc8JEjEPodiZlMJAyMoeUkTnMuPp62rweSnbv4PDWzRzevpn6smO8/5/H+ODJx8mZNoNJi64gd85FAx22EMNToA32vwibHwmPrXxczAiY8olwoTZjJvTCbaCetiB1Lh+1Lh/bqwNUbj5GndOH0xfA0xbE6w/i8YcffYEQSimMCowGhUEpTEaFw2Ii1mYm1n780UxSlIWMeDsZ8TZibCcNyxGTDjNuDy/eFih8E/a9EB7uo/ANpvAGlPwTZtwBs++G2FPv0hBCCCHE0Ke1pri4mE2bNnHw4MH2ITBSUlKYOXMmkyZNIjY29pzOGfIGaDvmxFfSQtuxFtqOOdG+E0OJRaMI4AUDGOOtGONtmBKsGBNsmOKtGGIsGBwmDPYTizKeuc2lgxodCKK9QYLOtvYl5PQTaPQSqPMQqHUTag1gqYQJJDGBJOqUk32WMg5T2T6ERmZmJkuWLGHMmDHn/gsdpobOt3IhhBDDQnNNFdtffYndb79GyO8HwGJ3MGHBpUy8bAkZ4yac89XkoD9Ea7OP1uY23M2+9p+9Lj9+bwC/L0ibN4jfF16ON6o8nhBlaz8CwGBQmK1GzDYTZqsRiy38sz3GTFSclag4C47jj7EWDGdpAAFYbHby5i4gb+4CgoEAR3duY/9773B422aO7tzG0Z3biE5IJG7cJDyzZ2GPjjnrOYUQ58lZBVv/Cdv+Ca7q8DpLTLigPHU55CwMT753jnyBIIXVLopqXJTUuympb6WkwU1JvZs6l6/zzjv29MIb6SzGaiIj3k5Wgp28tBjGpUUzLi2G3NRobLZYmHJLeGmtg11P4n7/TzicFbD+f2HDwzD9drj4a5A4utdjE0IIIUT/01pTWFjI+vXrKSsLDz1oMBiYOHEic+fOZeTIkd3+3qUDIXwlLfgONeI91Ii/qvWUnsnGOCvmEVGY0x0UNhxj6uWzMafYUabeGbNZGRXKaAKrCWPc6YdJDLb6CdS48Ve4KN1aRJovheSGGOYwhv2mMgqMZZSXl/P444+Tk5rNx667moyRmb0S44VMCsxCXICKi4vJz89n/Pjx7ZMAvP7663zta18jGAxy77338p3vfOeM51i9ejU/+MEPMBgMmEwmHn74YRYuXNg+c+3+/fupqKjAau3b8W3F8FFx6ABb1zxP0eaNaB0CIHvSVKYsuYrcORd1ayxld0sbdWVOmqo9NFW7aapx01Ttxnkut16dpM3pOedjDEZFXIqduFQH8WkO4lPtJKRHkZwdjcXW9Uev0WQid/Y8cmfPw93SzIEN69n99mvUlx3Dtel9Htm5mcmLrmDW0hu7HO95oHWVd+6++27WrFlDamoqe/fuPes5Dhw4wGc/+1m2b9/Oz372M771rW8BSN4R/cLmqYLV98GupyAUvrhF6iSY93mYshws3b8d1OsPsqu0ib0VLeyraGZ/RQtFNS4Coa4TkcVoICXGSlK0BeVzMX7UCJKjrcTYzDgsRuxmI7bIo8VkIKQ1oZAmGNKEtCYQ0rh9QVq8flo8fpojS52rjYpmDxVNHpy+AAernRysdvLOgZr21zYoyEmOYkZ2ArNzEpg1KoHci+5ns28yi0abYdNfw8NobPsnbH88XIS+5JuQ0nszvwvRV07+bCotLeXOO++kqqoKgC9+8Yt87WtfO+M5utsmTk5O7o+3NKToUAi/z0ubx0MoFALCE3KFL+RrjCYzZpsds82KoQcX7oQYjE7OO16vl0svvRRP5O/glltu4cEHHzzjObrbJu5p3gmFQhw8eJD169dTWVkJhCcQnDdvHrNmzSImpnudWoLONjz76vAebMR3uBnd1mGyY6PCkhmNZWQsllGxWEfFYIw90YZ3rSvBMiKqR/GfL2OUGePoOKyj46j2F5K/aA5BZxttJS2kFI5iZkENu1uPsMtUTHFNKY/842+MixvFx676GEn5GV0W3UNa4wmG8GmNLxTCF9JoDXajAZtBYTcasPbB5IeDiRSYhbhAjR07tr3IEwwGue+++3jrrbfIyspizpw53HDDDUycOPG0xy9ZsoQbbrgBpRS7d+9m+fLlHDhwoH3m2pycnP55I+KCV330MBtWPc7RndsAMBhN5F+8CJ2WxdJblp/2OG+rn+riFmpLWqgpcVJ7zImr0dflvsqgiIo/0cM4Ks6KI86CPcbS3hP5eK9kk8WIITKe16ZNm5g3bx4AwWCovYezP9Lbuc0TwN0S6RXd0kZrkw93cxvuljYaq9w0VrlPCgTiUx2kjoohZWQMqaNiSR0Vg8nS+UuVIzaOmddcz4yrr6Nk9w7eWvkPWkqL2fnGK+x66zUmX34l85fdRkzS4Poy2zHvANx1113cf//93Hnnnd06PjExkd///ve8+OKLndZL3hF9qrEY1v+auTv/AzoIygATroN5Xwz3Vu5Gz51mj5/tJY1sOtrAluIGdpc14Q92LiYrBWNTohifHsOopChGJTrCj0kO0mNt7Xln3bp1LFo0rVffotaaJref8iYPxxrcHKp2RhYXR+taOVIbXp7bHu69FGszMTpGU2IdzeVX/JWRi38AH/wWdj8VXvY8A7PugkXfg+iUXo1ViN7W8bPJZDLxm9/8hpkzZ1JRUcGiRYu48sorpU18DrTWuBrraaqqxFlfR2tjA67GhvZHT0szbR43bV4PbZ7uX6Q3mS1gNHJk9SqiExKJTkgkKiGR6IQk4tLSScrMIi41HYNRCtFi8OuYd6xWK2vXrkVrjc1mY+HChVxzzTVcdNHph8HryzZxU1MTjz76KBUVFQBERUVx8cUXM2vWrG514gi2tOHZW4d7Ty1txS2dOvGY0hzY8hKwjU/AmhOLMg+dv1djjAX75GTsk5OJvzGXEdXTmbOngg+3bWKv5wh7XeVsfuVZUtaPwzx+LBUpFqqDQWrbAtS2+an3BwicpUNTjNFAps1ChtXMaLuVabEOZsQ4OE3/gyFHCsxC9LGCCfl9ct6sLZu7ve/mzZvJzc1tHz/o1ltvZfXq1WdsTEdHR7f/3NraKgPci17XUFHGhqef4NBH7wNgttmZcfV1zLjqOqITk1i3bl2n/du8ASoKmyg/2Ej5oSZqS52n9Eo2W40kZ0eTMCKK+Ejv4YQ0BzHJNozdGLLiZNZYRXzauU9i4W8L0lwT6UUd6UndUNFKfbmrfd2hzeFb740mA+ljYskcn0DmuATSRsdijNwmppQiZ9pM8hpbmDwmh61rXmT/+rXseecN9q9fy/SPXcvcGz+BI7bzxGI/+tGPzjnm7vjmN795TvtfeumlFBcXd3v/1NRUUlNTeeWVV84xMiF6wFkN7/4Udv4HQgEUBpj2Kbj0W5A09oyHaq3ZV9HCuwdqePdgDTtLmzp9OVAK8kfEMj07nokZsUzKiGVCegwOy8A0vZVSJERZSIiyMDkzjqVTTtwF4QsEOVjlZFtJY/tS2exllxd2vbSPH7KPMSlRXD7+K1x74xeZceyfqO2Pw9Z/wJ5nw72Z530RzLYBeW9i6PjNJ6/rk/N+86k13d53xIgRjBgR/v8fExNDfn4+5eXl0ibuQigUpLGigpqSI9QdK6axspymygoaqysJ+Lq+oN8Vs9WG2WYLF4aVQhGZnAsI+v20eb34fV4C/jbwQ2NFGY0VZV2ey2gyEZ+eQVJmNmlj88gYN4G0sXndustNDE/p7+7sk/NWXT692/sqpYiOjsbpdOL3+/H7/WfNI33RJq6vr+ett97iwIEDQDi3XXLJJcycOROz2XzGY0O+IJ7dtbRuq6atpENR2aiwjUvAPjEJ67gETGcYlmKo0FpT7vOz1xhgb24Me9MXsLtxKhXBUIe93FDrPuVYuyHcW9lqMGA1KDTgDYXwhkJ4ghpnMMSBVi8HWr2AE8rDx0UTy9KCEq5LiefShBhsPfjeOhhIgVmIYaC8vJzs7Oz251lZWWzatOmsx73wwgt897vfpaamRgo+otf43K1seOrf7HzjFbQOYTSbT1sobapxc3RXHUd31VJ1pAXdoYJjMCrScmJJHRVLyqgYUkfFEJ/qaP/SMpDMFiPJWdEkZ0V3Wh/0h6ivcFF7zEnNMSfVR1uoL3dRfqiJ8kNNwFFMZgNZ+YmMnpZMzpRkHLEWAJJH5nD1l7/O3BtvaS/Mb3vlRfasfYMFn7gd++hx/f9GhRiKAj7Y+GdY/3/Q5gr3WJ72KTZbL2He0k+d9jB/MMQHhXW8sa+Kdw/WUN1yosBiNipmZMUzJyeReaMTmTkqgTj7mb+sDRZWk5GpWfFMzYrnsxeHx1euaPLw9zUfUGVIYv2h2kgP56P8HUiPvZ67J3+M25r+RkzpWnj7h+HhM274A4y+dGDfjBDnoKSkhB07drTfqXQmF3qbWGtNXWkJFYcKqD5SRG3xUWqPFRNo67qQbIuJJSF9BLHJqUQnJhIVf6LHsSMuHqsjCovdHi4sd2PoC601gTYf6955hxlTJp/oEd1Qj6uxnsbKChrKy3DW11Jfdoz6smMc2rQBAIPRSMqoMWRNnMyYGXOG3ATQYngIBoNcfPHFHDlyhPvuu69beae3+Hw+1q1bx6ZNmwiFQhgMBi699FIWLFiAxWI57XFaa9qOOWndUoVnd92J4S9MCtu4RBxTkrHlJ2I4zfB/Q0VQw26nm83NrWxubmVLcyuVPv8p+1mVIt0A5tpqolqbifO4md2awLS2RLLyksm5fBRRifZOxwQCTlrdR/B4juF2H6PaXU2510eVX1Hsj+ZQcASH9WjqSeTpqkaermokVrVyk30/tyX5yYwbR3z8XMzmc5tgcaAM7f8JQgwB+QcK+uS8Tqez2/sen7Cso+70vrjpppu46aabWL9+PT/4wQ94++23zylGITrSWnNgw3use/xR3M1NKIOBqYuv5qJlt3Ya6qGuzEnRthqKPgyxb9XG9vXKoEgbHUvW+AQyxyeQPjYOs2Xo3HYFYDQbIsNixDIpss7r8lNe2Ej5wSbKDzXSUNFK8e46infXgYIRY+MIRWucU73EJNpIzMji+q8/QPXHb2kfWmTd449y6de+S5vHg8Vu77MezOeSd4QYdLSGQ6/DG9+DhiPhdeOXwpU/geRcPCfdNQEQCmk2Fzfw0q4KXttTSaP7xBeOtFgrl49P5fIJqSzMTSbK2vfNaq01LYEg7lAIb1BHesWEH9tCGgPh3tMGFEYFBqWwGBQxRiPRRgPRJiN2gzprGyAj3s4lWWYWLZqJPxhie0kjaw/W8MruSsoaPfx8C/yce7k18TIeUI+T0HgY/nU9zL4brvwxWGVCUnGq4z2NnU5nt8f37Csul4s77riDhx9+mNjYs39xv9DaxAG/n6qig5QfLKDi4H5K9u1hu897yn6xKamkjBpDyqgcEkdkEj8ig4T0TGzR0V2cteeUUuGezo4okrNHkZw9qsv92rweGsrLqDtWTGXhQSoKD1BXWkL1kUKqjxSybc0LWOwOcqbOYOzseeTOnY/FZu/yXGJ4ON7TeKDzjtFoZMOGDQSDQW666Sb27t3L5MmT+/x1i4qKePnll2lubgZg+vTp2O12Fi1adNpjQm1B3NurcX1YSaDmRC9dS04sUbPTsU9OGtJFZa01Rz1tvNfo5L2GFt4jDs/WQ532iTcZmRbjYFK0nckxdiZH2xljt2IyKLxeL2+++Sbbj+zDzVEqQynkbsmnbk8JdfMbCIyuptV3EKezAK+39JTXT4gs+cA1kXUVZLKZi9jEAo6Rw7/cc3iq1cMn+A9Xqa+QkriQjIxPkpy8ZFDfRTN0/1cIIbotKyuL0tITya2srIyMjIxuH3/ppZdy+PBh6urqZAIT0SONleW89bc/UrpvNwAjxk3ginu+TGpOeNgWd0sbhzZXcWBjFfVlrvbjLHYToyYnMXpaMqMmJWGxX3gfW7ZoM2NnpDJ2RioArc0+infXcWRnHWUHG6gsCjcIH9/1IZnjEpgwP52xM1JJGz2Wm7/7IIe3bWbtP/9KKBCgoaIMe0wsMUnJMkahEB25auCVb4QnqwNIHg9X/xxyr+hy95L6Vv6z+Rgv7ijv1FM5LzWa66ZmcMXEVCaOiO21Rr4/pKn0tVHu8/OBNrO7pJoybxu1bQEa/MeXIE2BAMHzHKfPAMSajCRbTKRZzKRZzaRGfs6yWRjjsJJjP9GjyWw0MG9MEvPGJPGdqyewraSR1TsrWLO7glUNeTzHD/mq5WW+ZHwB09Z/QOFbcMPvYezi8wtUiD7i9/tZtmwZy5cv5+abbz6nY4dqm1hrTWNlOcW7tlO8azul+/ecMsxFdFIymePySc8dR2rOWFJzxvR6Ifm08YU0/rYgfo+mqdpNwB8kMg9ge/xKKUwWA9GJ2cSn55B/yRKMJgM+t5vKooOU7N7Bke1baCgv5dCmDRzatAHTo1bGzbuYSZctIXviFNQFPsGWGPzi4+NZtGgRr7/+ep8WmFtbW3njjTfYvTv83Ss9PZ3rr7+ezMzMU4YhPC7Y4sP1USWtmyoJuQMAGKLNOGamETU7DXPquQ8bOFh4gyHeb3TyVn0L7zY4KfW2ddiqGGWzMDc+irlxUcyNiybPYcVwmjaezWbjhhtuICcnno2bHsPk+IgDcf/E5mgM79BhhB+DwYLDMQa7fRR2+0js9pFYrWlYzAmYzQmYTDEoZeSDDzbwyYvn09bWxAeNTfy5so1NrXZWcg9b9Hy+XP8wdfVriYubzYQJPyU6Kq/vflnn4cL7pi4GtaDTSaC6mkBDA8GGRoKNDeGfG5sIuVyEPB5CXg/a4yXk8aC9nk69b5Na3Rz+9a9RSqGsNgw2G8phx2CzY7DbMERFY0xIwJiYgCkxMfxzQiKm1BSM8fGD+mpPX5ozZw6FhYUcPXqUzMxMVq1axX/+8x8AVqxYAcD999/f6ZiioiLGjh2LUort27fT1tZGUlJSv8cuhjatNXveeYN3H/8bAZ8PW0wsl95+F5MvuwJQFO+uY9/75ZTsa2gf/sIaZSJ3VhouQwXX3LKwfTzi4SIqzsqkSzKZdEkmbZ4AJfvq2fjGPlorDeHxpw82sv7JQ4ydmcLky7IYO2suIydPZd+ePSil8DhbaPO4iU1Nw2ofnA3B0+UdIXqd1rD3OXj1W+BpBEsMLP4+zLkXjJ2HsAiGNK/vreKJTSW8X1jXvj4z3s4N0zO4YVoGE9Jjzqst0egPUNjqpcjt45A7/FjY6qXU28aJkf2i4Ejlac8RZTQQbTRgM4RnI7cZFXaDAXMkrhDhmcyPP3pDGlcwiCsQwhUM4g1pmgJBmgJBitynH0c1kVjydxSR67AyNcbBlBg7E6JszM5JZHZOIv9z/UTWHqjhXx8W85vDN7FGzeL/zH9lavNR9MqbUZd+GxZ9B7pxe7wQ/UVrzT333EN+fv4pn0EXWps4GPBTunc3hVs+onjXdlpqazptT84eRWb+ZDLH51Pa2MLHrr+h12No8wRoqffQUufFWe/F3eILT47c4sfjDE+K7HP7CbSdyICHVm88wxk7M5oNOGItRMVZcMTNYcycixl/cSvupkNUFW2l+sgB9q9fy/71a4lNSWPWtR9nyuUfw2yTMeNF/6mtrcVsNmM0GvF4PLz99ts88MADQN+0iQ8ePMjq1atxu92YTCYWLVrE/PnzMZ6m84m/xo1zXSnuXbUcv4ptzo4hZmEm9slJqCE6HnCTP8Db9S28XtfM2gYn7g5jKCeYjFySGMOihBgsB/dyy/zLznq+QKCVpqZN1Dd8QEPDBtzuIsZ2mLIjFDJi8uQQV5uHrWUkMQmTSb/uMsxJZ79Qp1Q0FksSFksSV0fD1dnwWm0T3z5YxgH/RH5u+gPf0w9C81a2bfsEU6b8mcSE+T36vfQlKTCLXqW1JlBRge/wYXyHj+AvL8dfUdH+GDrP26tNQNtZ9+qaweHAnJmBKSMDc0YGlsxMLGPGYB07FnNWFuoC7u1nMplYsWIFV111FcFgkLvvvptJk8I36B84cICLL774lGOee+45Hn/8ccxmM3a7naeeemrYFuhFz7ibm3jjr7/nyLbwhJQTLr6MxZ/9Akazgz3vVbB7bSnNteHZxZVBkTM1mQnz08mZnIzRbGDdusphV1w+mcVuIm92GuWuAubPvZiibTUc+KiSqiMtHPioigMfVZE+Jo5pS7KxOKJIyhpJc201fq+XxopyouLjiU5IGrAeO7fddhvr1q2jrq6OrKwsHnzwQe65557T5p2qqipmz55NS0sLBoOBhx9+mP3793fr9mUhTuGqhTVfhwORCcDGXB4eJzg+u9NuTe42Vn5Uwt/Xe2jybQPAajJw7dQR3DZ3JLNHJfTo86++LcBup5vdTg+7XW52Od2UeU8d0w/CvYozrGYyrRZMLY3MyM4i02YmzWIm0WwiwWxsf7Sc59+zP6RxBoPUtPmp8QWoavNT7fNT3ebnmKeNox4fxZ42GrSBDU0uNjS5gHoAzEqRH2VjeqyD+fHRLMhN4qpJ6RyscvKvj4q5bXs29/hf4Oum51Dr/xdn0YfE3P4viBo6PT3FhW3Dhg2sXLmSKVOmsHbtWgwGAz//+c9ZunTpBdEm9vu8FO/aTuHmjziybTM+d2v7NntMLKOmziBn2kxGTZ1BdEJi+7bq0/Ro7I5QSNNS66GhopWGyvDSXOOmpc6Lt7XrnNcVk9UIKkhUjB2j2RD+HavwsD8Qvl4YaAsS8AXx+4L420IE/SGc9eHidWepwFJsCQswmQrxufbSUlvNu489wkfPPsn0q65jxtXXnTL3hxB9obKyks985jP4/eG/h+XLl3PddeFJT3uzTay1xuPx8NJLLwGQk5PD9ddff9oLYv5aNy3vHMOzqzZ8t4AC++Qkoi/JwjLy/C6oDxRnIMhrdc28UN3I+41OAh3u+poSbeeq5DiWJMUyNcaOMfL+1h06/a1hPl81tXXvUFf3Do2NHxIKnahGGY1RJMTPIzZ2Nnv2etixvR6tjSyecjHpZdGEqgLUHN5F3DWjibpoxDn/Pq9JiWduXDSf2XOErS3wU/OveChxJYGG59i163PMm7sGhyPnnM7Z16TALHos5PHgLSjAs3s3vgMH8R0+TNvhw4Tcp86meZyy2zGnpWFMSsKUGO5dbExIwJSYgCEmFoPdhrLZMNgd7T93LIxs3rKFuXPmoEMa7fMS8njRXk+457PHS8jpJNjUeKKHdEMDgcZGAlVVhFpb8RUW4SssOjUuqzVcbM7NxTouD/uUKdgmT8bYT7eF9YelS5eydOnSU9YXFxfz0EMPnbL+gQceaL+yKsS5Ktmzk1f/8GvczU1YHVEsuffLjJx8EdvfOMb+DZW0ecK3XcUk2pi8KJMJF41on8xOdM3qMLf3bG6qdrPvgwoKNlRQdaSZqiPNzL0zkTavJiE9E3dzI66mBlqbmvC5PcSnpWM6wyQefeXJJ5/scv3p8k56ejplZV3PHC/EOSn5EJ75LLiqwr2Wr/oZzLzzRKUCqGz28Oj7R3ly8zHckYlrxqREcfu8USybmUm8o/t/M1prij1tfNTsYmOTi41NrRzznnpJ3G5Q5EXZGOewkeuwkhdlI9dhY7Td0l44XrduHYtyuz+M1bkyGxSJBhOJZhMTorreJxDSPPfe+6ROnc6BVi+7nW72uDwcdvvY7fKw2+Xh8Ypw0TnXYWVBfDSXXpzNfUtyeeLDXD734Xh+xR9IrviAxofm4b35MUZMuqTP3pMQ3bVw4cL2uyNPHpN1qLaJg4EAJbt3sH/9Wg5v29xpYr7kkTnkzZ3P2FnzSM0Zc94XnIP+EHXlLmqKW6g55qT2mJOmKjfBQKjL/U1mAzFJNmKT7cQk2YiKs+KItWCPteCIsWCPNWOLMmO2GFEGFc5/i7rXK09rjd8XDPeIbg73hm5t8tFc56Gp2k1TlRtnQzyBwBwM1tmYDYcJeLfgdVWy8bkn2fryC8y+/hPMu+lmTOahMSmrGJqmTp3Kjh07uhwHurfaxH6/n8bGRnw+HwaDgSVLljB//nwMXfzNm1uh4amDuHfWhAvLRkXU7DRiLs3ClDT0xiz3BEO8Xd/CizWNvF3fgi9yV6xRwSUJ0VyVHMdVyXFk27rXrvN4jlFd/So1ta/jdO7psEURGzudxMSFJCYuJC52GgZD+Jw5OZq42PW8++67rN2zgdZZc5jTMhrvnnqaVh/Gd7SZhGXjMFjPrVNjksXEU9PGcseeo3zY5OL3wXv4cYqX+tpXKCj4DrNmrTqn8/U1KTCL7tGatpIS3Fu24Nm9B8+ePfgOHYJg8JRdjUlJWMeOxZo7FnNWNubMTMwZGZizMs97mIpgeTnWvHMfb0ZrTailJdybOtKjuq2sjLaiw/gOHyZQXY2voABfQYcJ+ZTCMmZMuNg8dQpRc+Zgyc3tcez9yWg00tzczPTp09m5c+cZ912zZs05ndvj8TB//nz8fn+XH1hieNNas/3V1by38h9oHSJr4mQW3fkVCre5eW/VRwT94S8gI3LjmLY4m9HTkjEM0duuBlJ8moOLl+Uy59ocDm6sYve7ZeiQxtXow93chiMumsQRDpprqwm0+WioKCUuNR2r4zTVpF4geUcMCqEQfPh7eOfHoIMwcgHc/EinXsvFda2seLeI1TvL8UduBb0kL5n58S6+dPNl3W6nVPraeLfeyXuNTjY2uahuC3TabjcYmBJjZ2qMnakxDqbG2Mlz2Np7zAxmJoMiTYVYlBTL5Ukneku5AkH2uDxsbW7lwyYXm5pbKXL7KHL7eLyiHqtBcUlGDJfeeSf/2DWXJbv/H7OCB/E8fTMv5v+Cq27+LPYhNjmrGNou1M8mrTU1Rw+zf/1aDny4HndzU/u2EbnjyZ07n7x5C0hIP7+LVc4GL5VFTVQUNVNT3EJ9uYtQFwPBRydYScyIInFEFIkZUcSnRRGbbMMRa+mzXpBKKSw2ExabifjTjA3rbwtSX+6i+mgL1UfTqToyiebqIwQ8mwi0FbPxuZVsfXkNExd9goXLr8YeI50dxPnr77zj8XhoampCa43BYOCee+4hMzPzlGODrX5a3i5h5EYDbl0DBkXUnDRiLs/GlDC0ho3RWrPD6WZVZQMv1jTSErnIpYD58VHclJrAtSnxJFm6V/L0eMqpqX2V6upXOhWVDQYbiYkLSUm+gqTky7Faur4jSynFZZddRnx8PKtXr2bTti3ouYrLbptN03NFeHbX4a9qJenTE895LOsok5G/Tcph8ZYDbG7x8B9TKtcYrDQ1b8HpLCAmJv+czteXpMAsTstfUUHrps24N24kef16Djc2dt7BaMQ6YQL2KZOxTZyINTcXS24upoSEgQn4DJRSGOPiMMbFYcs/9Q8w2NISHtajqAhfwQE8e/bgPXCAtkiv7OYXXwTCxfO40Tk0VtcQNW8u5lGjTttoOj4ZxUDIzs7uNKlfb7Lb7Z0+KJ0dhj3pOF62GH4CbW289bcV7F+/FoBZ1y7DEnUxL/62sH1svTHTU5h1zShSR8mQB73BYjMxZVEWky/NZO+efRjNBoL+EK5GHwajwhGXTpunAV9rK42VFcQkJeOI65vx6CXviAHnaYIXvgiHXgs/v/jrsPgHYAw3d2tavPzunUKe2lJKIKQxKLh+WgZfuHQMkzPjWLdu3Rn/NvwhzZbmVtY2tLC2voX9rZ1vyU40G5kfH81FcdFcFB/FxGj7kCgmn4toU/g9zo+P5iuj0vCHNLucbjY0uni7voWtLa28Xd/C2/UtqMR4Nn7sH9z30U9Y4nqd6wu+xUP/V8iMm77BFRPTBvqtiH40XNrEHfXVZ5PP7Wb/+2vZ/dZr1JWWtK9PzMhi4qWLyb9kEbHJqT0+f1ONm4pDTVQUNVFR2HTq0BMKEtIdpI6KJWVUDKkjY0jMjMbax5Mwa60JtbYSrKsj6HSG71p1uQg5XYRaW9F+PzoYRAf8EAiidQhlNmOwWrFYrIy0WMhJj8KUn4DHNIPymtkc2L6HigOvEGirZ/ebj7Bv3TpyL1rO9CvGS9viAjAc8o7WGqfT2d4utlqtxMTEnFJc1oEQro2VtLx9DO0NXwx3zE4jdvFITIlDq7Bc2+bn2apGnqxs4JD7RH6aFmPn5rQEbkiNZ4S1exeK/P4WampeJRh6jA8/KmxfbzRGkZy8hLTUa0hMvASjsfu9uqdNm4bD4WDVqlVs3rwZw0UGFt93CQ1PFBCo8VCzYidJd+Rjyzu3mlmSxcRvJozk07uP8KJ/IZfzBBZg+447yMq6nbTUpURFjRvwYU2kwCza6VAI7+7dONe+i3PtO7QVHW7fZgSMCQk45s7FPmM69qlTseXnY7APvVsoumKMjcUxYwaOGTPa14Xa2vAdCBebPTt34d60iUBNDbb6eqq2hsdoNGdlEbNkMdGXL8YxexbKFP6Tstls1NfXk5SUNOB/5P1Fa019fT02mTRjWHI3N/HC//6YqqJDmKxWJl52J0U7E/C5w7d25UxNZu51o0kZGXOWM4meUAZFdGwUIbOH2Lg43C1+Am1BWpvaMJpisceY8TibcNbXEfD5iE1NRamh3xNY8o5o11gCT3wC6g6CLQ5u+iuMvwaAZo+fv753mH9sOIrXH8Kg4BOzsrh/cS6jks7cq98XCrG+wcnLtU28UddCc+DEnVt2g4FLEqK5PCmWhfHR5Dqs/faZr7UmGHTh9zcTCDTj9zfhDzQTDLgIhryEgh6CIR+hoJdgyAu669vXDQYLBoMVo9GOwWDDYLRhNDowm+PR+ghu92gslkSMxugu35vZoJgdF8XsuCi+lpNGjc/Pm/UtvFbbzPuNTj5sC/DhzO/wvYMpfLV6Jd/2/4Xf/aeG16d+jR/eMIkYm9yWfqGTNnHvqCk+wq63XqXg/XX4feGiij0mlgkXX8bESxeTNia3R7/fNk+AsoONVGwNsfLtD2mp61xQttiMjMiNZ0RuHOlj4kjJjsHSB8XkkMeDv7wcy549NJSV4y8txV9RQaCurn3RHk+vvZ4FmKoUUzOyKcgYS7G/gmDbIQ6+/1uObL+K6PQcRifXMWry8Pl/eyEZDnknFArR1NSE1xv+m42JicHr9WI/qT7jOdBA85ojBOrCfz/WvHgKU+tZcP24fo+5p7TWfNTUymMVdbxa29Q+rnKS2cQt6Qncmp5IfnT36lKhUICGhveprHqeurq328dUNhjsJCcvJi31WpKSLsNo7Hn+zsvLY/ny5Tz11FNs3LgRg8HAFfctofG5Q3h211H32D4Sb52AY8q5zU+xJDGGCVYvB3zxfKAvZTFvEwg0Uly8guLiFTgcY5k86bfExEzqceznSwrMw5wOBGjduAnnG2/gXPcuwdoTs6YboqJwzJ1L1EXz2G80cvGnPjVgE0UNBIPFgn3qVOxTp8Ltt6O1pu1oMTtXPk5mYxPujRvxl5XR8K/HafjX4xji4oi+9FJiPnYlGRdfTEV1NbW1tX0Wn9frHRRFlY5x2Gw2srKyBjgi0d9a6mp49qc/oLGyHEd8MtFJN3NoSzQQIGtCAhfdOJa0HOmx3NeysrIoKyujri6cxwNtQXzuQPutrAZjkGDADboC09Gj2GPjzrnRLXlHDErl2+E/n4TWGkjJh0+tgoQcQiHNqi2l/O8bB2hyhyfWuXpSOt+6ahy5qae/2OUPad5taOGlmiberG9uv+0SIM9hZXFSLEsSY5kXH4W1D9pFWofweitwe0rwesvx+arx+Wrw+arw+app89XQ5q9H68DZT3aePtr4MwCUMmG1pGK1ZWA7vlgzsNuziIrKw2oNT16TajXz6YwkPp2RRJM/wIs1TayqbODnE+6lJCaN/y16iK+Znud3u2Hp0Tv47SenMzsn8SxRiKHs+GdTxzbxYPws6W298dkUCgUp2rKRba+spuLg/vb12ROnMO1jS8mdcxFG07lfpGmqdnNkZy0le+upOtxMKHS8t64Xq8NE5vgEMvLiyciLJykzGoOh9wp0gcZG2oqK8B0+Epm/J/xzoLoagASg+jTHKpsNU3IyxthYDDExGKKjMUZHY4iORlksKJMRjEaU0QQGFe7V3OZH+3zoNh9Bp4tgQwPBxkYCjeG5eig/Rn75MUZZTOwYlUGzoxW/63layuaxZoUmJUlx2WemkD4+pdd+B6LvDda801sxhEIhWltbCQaDKKVwOBw0Nzd3yjtBZxtNLx/Gszv8vcCUbCfuujHYxiew7733zjuG/uAMBHmmqoHHyuvbeysbFXwsKZZPjUhiSVIs5m7mJ4+nlIqKp6iofI62tprIWkVCwnyamiZyycKvYTL13lCC48ePZ/ny5Tz99NN8+OGHxMXFMffWuTRHH8H1YQUN/ylA35xH1Jz0bp9TKcUn4xt5sHoE25nDYt7utN1myyA6emCHy5AC8zCktcZXUEDz6pdofvWVTkVlU8YIYhYvIWbJYhyzZqEik0IF1q3r1eJySIdo9bfS0tZCi68Fl9+FN+ClLdiGNxh+9AV9tAXb0Jy4Relwy2FK9oVvB7MYLViNVixGCzajrf15tCWaWEsssZZYYiwxGHqpl55SCuuY0Xguu4ysRYvQwSCeXbtxrX0H5ztraTt6lJaXX6bl5ZcxxMURe/XVpN1wPfaZM/vkyum6deuY0aHH9UAZLHGIgVFfXsqzP/sBrvo6bDEjCOobaGmIIibJxsJb8hg9PfmC7Tkw2JjNZkaPHt1pXTAYYu+6cja/fIQ2bxB0DUHPi/h9LjLGT+SmB/4HW1T3JzMdLH/vgyUOMQgceBWeuwf8bhh9KSxfCfZ49pQ189+r97KrtAmAeaMT+c41E5gx8vS3JJZoA/9TWM5z1Y3U+08UbydG2bguNZ7rU+LJi+q9L6d+fxMu1yFaWwtpdRfh8RzD4zlGSB9jw4dnLx4bjVGYTLGYzfGYTXGYzPGYTNEYDDaMRlv4MdIrWakuxj3WmpBui/Ry9kV6PXsJBlvx+5toaDiGzRbA728iGGzF66vA66ugubmrWBw4HGOIisolOmo8sbFTiYmZzF2ZydyVmUyBy8Oq7BS+bovl4b0/4mum5/G1mPjEXz18dUkeX1uc16tFLDF4dPXZNFhy+GCJ42T+Nh/733uHrWteoKmqEgCL3cGky5Yw7cprSMoaeU7n0yFNTYmTI7tqObqzlsaqExOyK4MifUwcQUcLl147k9RRsb3yt6i1JlBZiXf/frz7CyKP+wnU1HR9gMmEOSMDV1QUaVOmYM7OCs/hk5qKMTkZU0oqhihHr7YpdVsbbeXh3tJtJcdILyxkz/6d7DMECHo3ofx11HItzz20ixwOM+/aHJKuvrz9+7EYvAZr3umNGJqamli5ciX19fXEx8fzqU99itTUE8PiaK1p3VpF0ytH0Z4Aymwg9spRRC/IQJmGRmfBo24fj5TV8lRVA+5g+CJ/qsUUvoA9IomMbk7WFwq1UVv3DhXlq2ho/KB9vcMxmhHpy0hP/zg2Wwbr1q3r1eLycRMmTODGG2/k+eef5/XXXycpKYmx14/F4DDR8vYxGp8rDI+DPav7w4bNc7QCcIB8ghgwEv79WC1pTJr46wG/Q1UKzMNIsLmZpudfoOm5ZzsNf2EeNZK4664n5sorsI4ff14f3P6Qn6rWKspd5dS4a6h111LrqW1/rPPU0exrxuV3ETrN7ZpntbX7uypUe8E5yZ5Eqj2VZHsyqY4Tj5nRmWREZ2AxnltjQRmNOGbOwDFzBqnf+ha+I0dxrX2H5jWv4DtwgKannqLpqacwZ2URd9ONJCxfjilFrn6LC0dN8RGe/el/43G2YLJmoQ03YLI6mHX1KGZcORKTTOQ04IxGA9OWZJM3J42NLx6m4ENQ1lswhp6n4uB+nn7wu9zy/Z/giIsf6FCFOHe7n4YXvhAe/mH67XDdwzT7Fb9+cS//3lSC1pAWa+UH103k2ikjumzfNPsDPFvdyFOVDewmFsrCvZ3GOWzcnBbP9anxjHWcX1FZ6yBu91FaWnbjdO2n1VWIq/VQhx40p7JYkrHbR2G3ZWO1pp2yWCxJGAzW84rrbNatW8fFCxYBEAz6Ij2oK/F6KyJLOW5PCa2tRfj99Tide3E693Y4gyIqKpfYmKnExc/iO5kXE8i5n3VJDi5/79v8P/PT+Pxmfvf2tbxX0sATn55FlFWGzBDDl9flYucba9j++st4WsJXcuLS0pl17Y1MvuwKzOfQ81FrTXVxC4Wbqzm8vYbW5rb2bVaHiZwpyeRMTSY7PwGrw8y6detIHx3X49hDra149uzFs3NneNm1i+DJ8/cABocDy9ix7RPCW8ZEJobPzEQZjaxbt47pixb1OI4zCYQCONucuANuPH4PnoAHj81DMNcMuWNhyVjiuJqpew6z51/PEAgextz8GDr2UxQb8qh8voFpv7uDUdfMIfGzn8WUlNQncQpxOnV1dTz++OO0tLSQlpbGHXfcQXT0iY4igQYvjc8dwnc4nD+s4xJIuDF3SIyzrLVmU3Mrfy2t5fW65vYuhgvio7krM5lrkuO63VvZ56umrPw/VFSsoq0t3JnSYLCQmrKUjIxPEh8/p986QE2dOpW6ujrWr1/PM888wz333EPqFaNQViPNrxyl8blCjNHdb/ukmQMk6VrqVQo1Oo0RVAIGJk16GMtpJiDsT1JgHga8Bw7Q+MQTNL+8Bh0Zo8eYkEDs0qXE3XA9tqlTz+kPTGtNZWslRU1FHG46zDHnMUqdpZQ5y6hqrSKog2c/CeAwOYi1hnsZx5hjsJvsWI3WE72STTbMBnOn2MpKy8jKzkJrjT/kxxf0hZeAD1/IhzfgxdXmoqWtBWebE5ffhbPNibPNSbmr/LSxKBRpUWlkx2STFZ1Fdkw2Y+PHkhufS2Z0JkbD2Qtl1jGjsY65l6R778V78BAtL79E88tr8JeVUfeHFdT95a/EXnklCZ++HfuMGdKrUwxp9eWlPPOT/8brasFgysFov56MvGSWfCafuJRzmxlX9D1HrIXFd+YzYf4I3vnXfpprlhNyPUdtyVGe/dkP+OSPfonV0ftX7oXoM7tWwYtfCheXL/02XP59Piiq59vP7qKy2YvRoLh7YQ5fu2Ic0dZTm7uHWr38vayWp6sa8YTCF7yjCHFLRgq3jkhieoy9x5/THk85zc3bcDr30uLcg9O5j2Cw9ZT9DAZ7pMfvOKKixmJ35GC3j2LrlmIuWXh1j167rxiNVhyOUTgco7rc7vc30tp6mNbWQpyuAlpaduFyHQj3zm4tpLLqOQDstpFkjJhP86LPkbDuEX5gfoJqQyJrCucz87fv8evbpnP9qIH/giREf/K5W9n2ymq2vfIibZ5w7+K0MbnMuWEZeXMXYDB2/4J9fYWLws3VFG6t7jSecnSCldHTUxgzLZkRefEYjefXyy3Q2Ih78xbcmzfj3rEd38FDEOz8HdAYH49t4kRskyZiy8/HNnEi5pEje33IRa01Dd4GKlsrqWytpKq1qv2x3lNPo6+RRm8jzb7mTnfGnknCfDNLtqaCt4Xm4J9JNN4MttFsGXsPTa8+S8a/lxB/x+2kf+4LGGNlGDjR96qqqli5ciWtra1kZWVx++23dxpv2b2zhsYXitC+IIYoE/HXjcU+PWXQ1xwCIc2a2ib+UlrLTmc4/1mUYll6Ap/PSun22Mpaa5qat1JW9ji1tW+2DyMWFTWOzIxbSU+/EbO55xfRzseiRYuoq6tj//79rFq1ii984QvEXJJFyOXH+V4Z9U8UYJ115nO8XNOEOxgiz2/CQ/i7djXpjKCSsWP+i4SEuf3wTs5OCswXKK01rnXrqH/073i2bWtfH7VgAQmfuo3oyy5Dmc9+pcQX9HGg4QDvtbzH2g1rOdx0mMPNh2n1n/pFCSKFWkcamdGZpEWlkWpPJcWRQoo9hRRHCkn2JOKt8cRYYjAbzr2XyrrWdSyas6jb+wdCAVxtLprbmqnz1HXqTV3rrqXGXUO5q7y9EVLVWsUWtnQ6h81oY3TcaHLjcxmfOB6/189c/1wc5tMX0Wzjx2Eb/y1S/uu/cG/aROOTT+J8Zy0tr75Ky6uvYs3PJ+nuu4m95ur2iQGFGCpaamt4+sHvtxeXbQk3Mf/GPKYtzkbJLc6DWkZePJ/877l89MJh9ry7nDbnU9SWHOW5n/2IT/zPTzBbB38PByHY+R948cuAhkXfw7PgW/zypX3866PwEFrTsuP532VTGZ/eeZzlkNa8Xd/C38vqeK/R2b5+YXw0n85IwrF/Fx8bP/OcQtFa0+ouoqlpS/vi81Wesp/NmkFM7BRiYiYRHT2B6Kg8bLasLm9lVKrqnGIYDMzmBOLjZxMfP7t9XTDow+UqoLllB02Nm2hs2ojHewxPxTEqgJFjY8k73MJvzX+hzDSCnU053P/3Lbx4zVh+M3sM8WZpH4kLW5vXQ+X2TTz6+F/wtroAGDl5GvNu+iTZk6Z0uzDkcbVxaFM1BR9WUl/ual8fFWchd3YaeXPSSB0Vc16FpmBLC+4tW2jdtAn3ps34Dh7svIPRiG3iROwzZmCfPh37jOnhXsm9WNzyB/0caT5CUVMRJS0lnRaX33XW4xWKWEssDrMDh8mB3WTHbrJ37kikw99/a8w17FgCs9aGiHMZKE16EnfKfCbXXM6hcbfiKU0m92//oPzpf1P6lRu46MYvkhmd2WvvVYiOampq+Ne//oXH42Hs2LF88pOfxBIZqiXkDdC0+jDuHeG7omyTkki4KRdj9OAeyqUtFGKttvCdzQUUe8J3WCSajXwmI5m7s5JJsXSvVhQK+aiqfpnS0sdwuQoAUMpIaupSsrLuJD5u9oAX2Q0GAzfeeCP19fVUV1fz+uuv8/GPf5zYq3MItrTh3lHDiO0GgovbMMZ0/e+2z+Xh4ZJqIBcib+cDFjE7NppRo77Yf2/mLKTldoHRoRDON9+i7i9/wXfgAACG6GjibrqJhNtuwzpm9OmP1ZpjzmNsr97Onro97K3bS2FjIYHjk8h0uMsp0ZZIXnweY+PHkhOXQ1Z0FlkxWWREZ2A19u0tm+fCZDARb4sn3hbPqNiue91AZGgPVxWlrnBP7JKWEg43HaawqZAadw0FDQUUNBTw8pGXAfjDk39gTNwYJiVNYkryFGamzWRs/NhTxntWRiNRCxYQtWAB/ooKGp96mqZnnsFXUEDFt79N7Yo/kPz5zxN3/fUynpcYEtzNTTzx39/B3dyAMmYwIv9TXHXvNBLSpffrUGGxmbjstvGMmZ7Cm48aaCpfSWVRAc/89Cd88ocPYpSLXmIw2/3MieLy4v9m1+jP8V+/f58jda2YDIqvX5HHFy8bi6lD77xASPNiTSO/K6mm0O0DwG4w8In0BO7OSmZCVLh3zLqC7oXg9VbQ0LCB+ob3aWz8CL+/odN2kymWuLhZxMZOIzZmMrGxUwbFbYv9zWi0Ehc3nbi46YzM/iyhUACnax+NDR9SX/8ex/QWHK1WMqt8PGn+AcsS/4/9Dem8/ephFjS6+MXs0dyQEj/Qb0OIXhcM+Nn15qtsfP4pPM4WALLyJ3Px8k+TNXFyt84RCmlKCxoo2FDB0V117RP6Wh0mxs5MJW9OGhl58T0eT1mHQnj37af1g/dxvf8Bnl27OvVQVhYL9hkzcMybi2PWbOxTJmNw9N4dbHWeOvbX7+dAwwEKGwspbCykpKXkxPfSk0Sbo8mKySI9Kp0RUSMYETWC9Kh0ku3JJFgTSLAlEGeNw2ToXhtn3bp1LFq0iIYryln1o/9HRj2k5PgJTG/E/VYcpdlX0BitmLPreSb+9FmefON5jt5xKXdOuYt5I+b12u9BiMbGRlauXInH4yEvL49PfvKTmCJtdd+xFhpWHSTY4EWZDcRdP4aoOekDXlA9E3cwxBMV9fy5tIYKHOBpI8du4UvZqXwiPRFHN++u8PsbKSv/D2VlK2lrCw9vZjYnkZl5K5mZn8Jm7f7kef3BYrGwbNkyHnnkEXbs2EFeXh4TJ04k4ZY8Ao1eKG6h4emDJH92cpcdtmJNp97JYiDIbc6vM21bEQ9NyO52b+++NKi/RSqlrgZ+BxiBR7XWvzxp+yJgNXA0sup5rfWP+zPGwUJrjfO116j9459oOxweX9mUkkLSvfcQf8stGKJOLf5orSluKWZr9Va2VG1hW9U2ajydxwNUKHLjc0nyJ7F40mLyEsJF5UTbhTXjt9lgJjs2m+zY7FO2tbS1hIvNjYUUNBSwsXgjVf4qipqKKGoqYvXh1QDEW+OZnTab2emzmZ02m7yEvE4FZ3NGBqn/9XWS7/syLS+9RN0jf8NfcozK7/83tX/8I8mf/wLxtyyTHs0DTPLO6XlbPfzr29/F3VyDMqYw9WNf4vLbp2E0D40JI/qb3+/H7Xbj8XjweDydfvb5fLS1teH3+2lra2tfgsEgoVDolMXj8bBv3z4MBkOnxWKxnLLY7XaioqJwOBztjzExMZhPumslOz+R2354JWtWmCjd/SiVh3bx1IP/y60PfgdDL9++Ks5M8k43HXkvPCwGGr34f/i35RZ+/JcP8Qc149KieWj5dCZnnrj9sS0U4pmqRn5fUk2JN9w7JtNq5t6sFG4bkdjtHrKhkI/Gxo3U16+nvuED3O6iTtutljTi4mcTHz+H+Pg5REeNG/BJVgYjg8FEXOw04mKnkZPzJXy+WmrzXsO5+kfE1NfzpPX/cVvS99lfP57WD6v4oi/Am+PTuL57d7SLcyR5p/9prTm8bTPr//13GisrAIhKG8E1997HyCnTulUUam3yse/9cgo+rMTVGL5gphSMmpxE/oIR5ExNxtjDibyCLS243luPa/16Wj/4oPMYyiYT9lmziJo3D8e8edinT8Ng7Z1ORc2+5vbOTetr1vOTZ35CjfvUMeoVipExI8mNz2VM/BhGxowkJy6HkTEjSbQl9klRLTEjk098/6c8+YNvU7ttL1fMuIyYL0zjjb/txZWwhIKPj2T8mt9x7ZYQH7re4wvXv8+i0VfwwJwHGBE9otfjGeok75yblpYWHn/8cZxOJ6NGjWL58uXtxWXXpkqaXjoMQY05M5rEW8djHsTDFLYGg/yjrI6/lNa2T6ScTZDvTRzD9SnxmLp5McztLuZY6T+prHyWUCg8DFB09ARGZt9NWtp1fT4/xflITU3lyiuv5LXXXuOll14iKyuL2NhYEm+bQPmvN+ErbMK5vozYRafWpOI7FJjTdAXVKgMfVkKA1aAY34uTUJ+PQVvJUuHprv8IXAmUAVuUUi9prfeftOv7Wuvr+j3AQcS9fTvVv/oV3l27gXAhM+nznyPupptO+eB3+91srtrM+2Xv8375+1S2dr6NM8GawKy0WUxLmcbk5MlMTJqIw+wIX8XNX9Rfb2lQibXEMiN1BjNSwzO+rvOt46KFF3Gw8SB76/ayq3ZXe3H+7WNv8/axtwFIsiWxMHMhl2RdwoKMBcRYwrfqGiwW4m+5hbgbb6Tltdeo++tfaSs6TNWPfkTDypWkfvtb4SFMBvGVxwuV5J3T87jaePz//Qx3cynKEMuSu7/DtCvGD3RYA8bn89HY2EhTUxNNTU04nU6cTicul6v9Z6/Xe/YTnQOPx3NexzscDuLi4oiPjycuLo7ExESSk5O56ssXselZE3ve+gOVhz7k2Z/9k1u+91kM5zk+o+geyTvdVL0Pnvo0hPwE5n6J/1e5hOd3hCeUu3P+KL63NB+bOdz4DoQ0q6oa+G1xFeU+PwBj7Fa+OiqVZWmJ3Zokxu9vpr5+HbV1b1Nf/16nMZSNxigSEuaTmLiQpMSF2O058pndA1ZrClkj74S7r0U/cglxzeX8NedvfNV4BztqpmHZVsfzRsVHMXZyWj3tPc3F+ZO80/9qio/w3spHObY3/H0tYUQml376bkqdbkZNnX7GY7XWVB1uZs+6Mg5vryUUCl91iU22kb8ggwnz04lO6FlxwV9ZifOdtcQ/+yyHioogcKKHsCljBNGXXEr0JQtxXHQRxg6TifVUSIcobi5mV+0udtbuZGfNTo40HzllP4fJQX5SPvmJ+YxLGEdeQh5j4saccYjCvpIyajRXfv5+Xv3Dr3n3sb9y20/yuPrzk3ntL3uoas5jyk//TuhnX2FBQSuWkOL/bnqbHTU7+P3i3zMtZVq/xztYSd45Nx6Ph5UrV9LY2EhGRga33XYbZrMZHQjR9NJhWjeHh9OKXpBB3NLRqB5eWOprnmCIf5XX8YdjNe2F5ekxDr4+Kg3L3h0sTkvo1nmczv0Ul/yFmprXgPDcGUmJlzJy5L0kJCwYMu2wuXPnUlhYSFFREW+++Sa33HILpjgr1VNCZGw30vJmMbZxCVgyOufb4z2Yx+pD1JIKwB6mYzMoHpowEsMgef+DtsAMzAWKtNZHAJRSq4CPAycnoGGr7dgxan79G5xvvgmAMSWZlK98hfibbuo0vnK9p553jr3D2tK1bKncQlvoxCzCibbE9l63c9LmMCZ+zCnDPIhT2Uw2pqVMY1rKNG7Pvx2tNaXOUrZUbWFr9VY2V22mxl3D6sOrWX14NSZlYnrqdC7PvpyP5XyM9Kh0lMlE3PXXE3vttTjfeIOah35L2+HDlH3xSzjmX0TaAw9gmzBhoN/qcCN5pwvOBi+rHvwbrvqdoExc+/XvMX7ehV9cdrvdNDc3s2PHDurr66mvr28vKHen2GswGHA4HDgcDux2O3a7vf1nq9WKxWLBbDa39zw2m82YTKZOPZSNRiNKKTZt2sTs2bMJhUJorQmFQgQCgVN6QPt8vvbe0q2tre2PTqcTt9uN2+2msvLU8WGtVivWGRfjqTjKkdL3eeIXUSz/1jKstnMfK1+cM8k7Z9NcDv++BXwttOZezy0Hr6aguhy72cgvbp7CjTPC415qrXmzvoWfHq5oHwpjQpSNr49K4/rUeIxnaXxr7aSs/D/U1rxOY9Om9gliAKKjJ5KctIjEpEuJi52OoQfzSIjTiEpCLfsH/PMasoor+cfNKdz3QTUfHkvDvq2aiotGcNXmffxqbDS3jpR2US+RvNNPvK0uPnjycXa9/RpojS0qmvmf+BTTrlyK0WSibN260x4b9Ic4tKWK3e+WUVcaHmNYKRgzI4Upl2WSOS6hR3NftJWU0PLa6zjfegvvvn0AWAGMRhxz5xK9+HKiL70Uy+jR5120CekQhY2FJ+6Yrd5Gk6+p0z4Wg4WJSROZkjIFVa1YdskycmJzBtV30vyFiygr2Mvut1/n9T8/zB2//B1zrx/DppeOsP4DPx9f8Q8avvo5Zh9s4f6C0fxhYin3vHEP/7r6X0xKnjTQ4Q8Wkne6KRQK8dxzz1FbW0tycjK33347NpuNYIuP+n8X0HbMCSZFwk15RM1KG+hwu+QLhYfC+F1JNdVt4fbUjBgH/290OosSw2PCr+tGemlq2kpxyZ+pr18HgFJm0tNvZmT2PURHj+vDd9A3lFJcd911rFixgr179zJr1ixGjx6NOzV8scD1YQVNqw+T8oWpnfJ7XKTAfA0vs0J9E7Nuw6ds/HD0CMY4Bk+vbaX14LzvTCl1C3C11vreyPM7gHla6/s77LMIeI7wFbAK4Fta632nOd/ngc8DpKWlzVq1atUZX9/lchHdC1dpz1eXcQSDON5+m+g1r6D8frTZTOuVV+L+2JVoW/jqdWuwlV3uXWx3b+eQ91CnGXNHWkYyyT6JSfZJZFuyu/Xh3dPfhwoFMPudmP0tmAJOzH4XxqCnfTEFwo+GkA9DyI8hFEDp8KMh5EfpzrMRB4NBjJGZlLUyEjKYCRlMaGUiZDCjlYmg0UrQaCdotBMw2Tv8HIXfHIvfHIPfHIvu4ZfD7vwutNZU+ivZ59nHfs9+jviOEIpcaQMYbR3NTMdMZjhmEGeK3M7r9+N47z2iXn0Vg9uDNhhwL1mC6/rroIvxmQf1/9GTXH755du01rPPuNMgIHnn1Di8zZojbxzDU/8soBl5ybWkTM7v9zj6kt/vp7W1ldbWVlwuF62trXg8Hvx+/2mPMRgM2Gy29uV4wdhisXQqHvfW1fTz/V1orWlra8Pr9eLz+fB6ve0FZ7fbTSBw6piGShuIjY8lMTGBhIQEoqOjcbvdg+7/6OlI3hm6eacjFfIzY8d3iHUWURWVz7UtD1Dvt5DuUNw/w0ZWTLgNU6iN/Bs7ByN9J1IJciteLsLPmeovWnvQ7ETrTWi9D6WOf1YbgHEoNQPFdJTqvzGUB/u/SV/JOfoEOSVP47Um8+HMh/nFDk1hkxF7tI/GeTlgMnCH/oClKgel+v/3I3mn67xzrjkHhsf/ca01jYcPUrrhXQLuVjAYSJ00nRGz52OyneiN31UMwTZNw2FoOKgJRG6GMlohYQwk5CosUefetjDU1WHbtg3b1m2YS0tPxGmx4Js0kebx41GzZ6PP8/ehtaY6UM0BzwEKvYUU+Ypwh9yd9okzxjHaOprR1tGMsY4h05KJWYW/lw3m/xuhgJ99q/5Jm7OF7IWLSZk8g2PrNa5KiBsJY6L3kfCnP6ENBv7++fG8mVBIkjGJ72Z8F2sPbtvv7u9C8s7QyTvdjaGoqIiysjLMZjMzZ87EbrdjcULGVgMmn8Jv01TNCOGLO+upziuOnghpWI+FZ7FRR7iNlkOAT+BlJgE6fjU6XRzhGuU+QnoNUBhZa0FxGUp9DKV6d7jWgfi/UVxcTHFxMQ6Hg9mzZ+N2u4m1RjPyfQOmNkX1lBDOzBM1PE8oRIV3J3W2zfxWfYecgJt7/E7yerm4fL55ZzD3YO7qk/Pkavh2YJTW2qWUWgq8COR1dTKt9SPAIwCzZ8/WixYtOuOLHx/Yf6CdHIdn7z4qf/ADfAXhmWhir7+e1G9+A3N6OoFQgA3lG3iu8DneL3+/fRIEkzIxP2M+V466kkuyLiHZfu5fkk75fQTaoLkUWsqhpRKcFeCsgpYKcFZCax24G8DXfD5vv29ZYsCRAFEpEDMisqRDbEb459hMiB8J5s63nPXk/0azr5kPKz7krZK3WF+2nqO+oxz1HeX5xueZN2Iey/KWsXjkYixXXkngm9+k7o9/ovGJJ4h66y3iDx5kxI8fJOqii847jr4wWOLoJZJ3OsRRX+7i+V9/hKfhNUAz45qbWHzXPf0eR29qaWmhoqKCiooKKisrqampobm56zxlNpuxWq3k5OSQlJREUlISiYmJxMfHExUV1a+3YvXl/w2tNa2trdTU1FBeXs6mt9+iNeBHm600NzfR3NzE0aNHsVqtxMTEcMkllzBu3Djs9oG7XX2w/K30Esk7Z4pjzTfAWYTbkcmNLd+g3m/h0nEp/PFTM4ixmalvC/CTwxWsqgpPtJdoNvKNnHTuzEjCcpqxxLUO0dD4IRUVT1NX9w46MoafUgaSEi8lLe06kpOXYDbH99G7PbNB/2/SVy65GP5xGFv5Nhb73mTmV3/DzX/+kCO1kLuvhKKpOaxUC2lRr/KD3NFkZt56weThAdBreedccw4Mnt9lX8XRVF3FO//4M8U7twGQMS6fKz93H8kjc84YQ2uTj13vlLL3/XL83nAnm6TMaKYtySZvTiom86mTPJ1JoK6OlldeoXnNK3j37Glfb4iKIuaKJcRcdTVRC+ZjsNlYt24dl/Xwd9HgbWBjxUY+qvyIjyo+otpd3Wn7iKgRzEmf037XbFZ01mn/dgf7/43suGhe+vXPqNmxies+cw+zplr4zw830XwsxJgH7oTmZhqfeIKPb/bw5lVQH6znZzU/494p9/Lx3I8TZ+1+RXCw/C560bDPO92JYfv27ZSVlWEwGLj99tvJycnBd6SJusf3o31BLKNiGXFHPqOjT+2A1ptxnCutNe82OPnJ4QoKWsPtqvFRNv7f6HSuSY7rcgiHk+PQWtPQ8AFHj/6O5pYdQHji5KysO8nO+gwWS9/MAzYQ/zf8fj9/+tOfaGxsxOFwYDAYuHTRIlqTqml8+hAjjliZsWw2Blu4ZHu0tYWGTT9gP0sBOGZycMmCGb0+fNj5/i4Gc4G5DOg4unUW4atY7bTWLR1+flUp9SelVLLWuq6fYuw32u+n9g8rqH/0UQiFMGdkkP7gg0RfspAyZxnPb/89q4tWt0/SZ1RGFmQs4Kqcq1gycsk5fZi183uhvgjqDjKy5B1Y/Qw0lkBjcbiwrENnPQXKAPZEcCSFF1scWKPBEh1+tMaGf7Y4wpfmjWYwWsAU+dlgpuNlrh07dzJj+nTQGkIBCPoh6INgW7joHfSB3wM+F7Q5I4+u8KO3KVz0dteHlzZneGk6dub3EDMCEnLal7QqL1TEQ3IeWE6dPLErcdY4rhl9DdeMvga338260nW8Xvw6H5R/wMbKjWys3Ei8NZ7rxlzHsrxl5P7394m7/joq//sH+AoLOXbXZ4n/xCdI+953MQxgUWcYkLwT0VTtZvXvduKqexO0i/Sx41h0x10DHdY58Xq9lJWVUV5eTkVFBeXl5bhcrlP2M5lMpKamkpqaSlpaGqmpqSQnJxMbG8t777034I3RvqaUIjo6mujoaMaMGcOsqVP45ze/jNvthviLsKSnQpyTxsZGfD4fL7zwAgaDgTFjxjB58mQmTpyIpYu7LES3Sd45nd1Pw9a/E1RmPtn0JapCUXxydjY/vWkyRoPi3xX1/OxwBY2BIBal+EJ2Cl8ZldblTNsAXm8llZXPUlH5DF5vefv6uLjZpKfdQGFhLNOnXw+EG/5Hjx7t9bHUuyMuLo6CSEeC/maz2cjKyjplUtB+YTTDjX+BPy+A7SuJn3UXj901l2sefpf/z955x0dRp3/8PdtLeu89IQkt9CpVQAVFxX6I2Pt597vz9PT0zjvr2bvn2evZRUFRkaJ0CCSE9N572WSzfXd+f0wIIB0SEmDer9e+NpmdnXkmu/nOzOf7PJ+npkHDhfFWvvHRsUw8D1vRCv7Qcj3paY+j1Yac/FhPfeRxpx8QPR52/rCcXz96F5fDjtZoZNrvrmX4zLkIh2me29VmY/v3FRRsqsfjkvS2yCF+jJobS0z6sTWv89hsmNeswfT1Mszr14NbEqoFgwHvmTPxOe9cjFOnnlCDPo/oIbcll19qf+GXml/Ia93f4SBAF8DE8IlMDJ/I+PDxRHpFHve+BhtJYycSO2IUlbt2krn8K866aikjZ0ez44dKtiwrY/6tt9DxxRcE76ggNkNJZahAu72dJ7c/yfM7nmde3DwuHXIpGcEZp4xnbB8ijztHoLa2luXLlwMwf/584uLisOQ00/a/QnCL6IcGEnDFEIRjnGzqb3Z1WfhXaR2/tkv3WZFaNfcmhHNxqP8R7clgj7D8K2XlL9DZIyyr1QHExNxAVOTvUKkGvqqhr1Gr1cydO5dPPvmE9evXM2qU1O/LMCqE7i0NOCo7MW+u7234Z6n7L6E0sJnJAPwuPGBQ9qYYzALzNiBZEIR4oBa4Arhq3xUEQQgDGkVRFAVBGI9Uz9h60iPtZ5y1tdT+6c9Ys7JAoSDgmmsIuvMOsroLeXf171lbvbbXAiPWJ5aLky/mgsQLjj5T2eOG1lKoz4bG3dBSBM0FkpDcIyIn/PY9ggJ8o6WHT/jeDOA9P3uFgt4fdH5wmAuqY8VU4YK4qSe+IVEEe6ckNJubpazrrvqeDOwG6WdTNZhq9r5WtQmANICCZ6Xt+MVA0BAIHgKhQyFshPSz8tA3Zga1gfMSzuO8hPPodHTyXdl3fFH8BQVtBXyQ/wEf5H/AhLAJLBm6hCmff0r72+/Q8vIrdHz2GZadO4h85hl0Kaee39ApgjzuAA6zyNfP7sTcshuPIx+VRsO5d/wJhXJwXcz8FpPJRFVVVe+jqamJ39pAabVaIiIiiIiIIDw8nLCwMAICAlD04TjVn4geEdHpQXS4pWenWxqmPSKi2yPVpfU0/0EQpFwRQZA8vBQCglqBoFIgaBTSz2rlAf6NBl8/5t58J9889Qi0bUbhXEyEbiRX3RrLj6t+wOl0UllZSUlJCSUlJXz//feMHDmSMWPGEBo6OH3gBjnyuHMwmgrg27sAeMCxhBxPAv83J4U7ZyVR0G3jz4XVZHZKZdfT/L14NCWKJMOBTa5E0UNr6zpqaj+gtfUX9jSG0emiiAi/lLCwi9DrJfGjpGRt7/tqamrw9vYmLu7kN/Dr6urC29v7pO4TpBu81tZWampqiI+PP+n7ByA4BSbdBhueh+/uJub6VVw/TMsLO+38vLWDf145kodamviB+Xi3fcSlW84lPe1xgoPnDEy8py7yuNPHdLY08cOrz/U28UudMp0ZS27A6HfoBlbmdht12z3kf7YJj1sEARJHBzNqbiyhcT5HvW9RFLFmZWH68is6V67E09UlvaBS4TVrFr4XnI/X9OknlKTS5ehiQ90Gfq35lfW162mztfW+plFoGBM6hkkRk5gUMYkU/5RB5Z/clwiCwORLr6Jy1052/fwDExddweh5MWSvrqamoB0LqfguXEjHJ58wvshDZejea2eHx8G3Zd+S2ZjJJws+wU/nN3AHMjDI485hsNvtfPHFF3g8HsaNG8eYMWMwb6mn4+sSEME4MRy/CxKPy3e9v6izOXikrJ4vGtsBySf4rthQrosMQneUzcLb2jZSWvbMfsJybMwNREYuRqU6umS+U5XU1FTCwsJoaGigoUFq2igIAj6zY2h5azfm9bV4T4nAbCugsea/lJGESfBHJcDDyVEDHP3BGbQCsyiKLkEQ7gB+AJTAW6Io5gqCcEvP668BlwC3CoLgAqzAFeJgNZU+TrRZWZT95R48nZ2oQkMJe/IJNgS38+7aG9ndKnVP1yg0zI2by6LkRYwJHXP4GyFRhJZiqNkKdVnQsAsacsBpOXBdQQEBiRCcSpVFTcyIaXszeX2jQXUKZ6wJgpRNrfOFgAPk8724XVK2dntF76O5YBPBQrskyndUSY+Sn/a+R6mF0HRJbA4fCdHjISQdFAeKcz4aH65IvYLLh1xOXlseXxZ9yfKy5Wxp2MKWhi0k+CawZNYS5k7/iKY/3YOjpJSKSy8j9P77IDi4z/8sZzryuAM2s5PKtSL2znbc9tUATF98PQERgy/7pLOzk4qKCsrKyigvLz/A6kKhUBAREUF0dHSvqDxYxGSP3Y3H7MDd7cRjduLpdko/dzvxWF2IVhcemwuPzY3H6iK+S0HNqg3gOorKkWNE0CpRGFQo9CoUBjUKg4pg7xCmj/od5UU7cIhZmMr92Pw/BRHDI5g5ayZms5mCggJ27txJbW0tW7duZevWrSQlJTF9+nSio6OPvGMZQB53DorbBV/dDE4LX7qn8rFnFv9eNIJFY6N4pbqZJ8rqcYgioRoVDyVFsjDE74BrH5erm/qGL6mpeReLpRwAQdAQHDyHyIjL8fefhHAYAcRmsw2IuDyQCIJAYGAgzc3NAxvItLul7PXaTMj6gNGhMSyZFMZ7myr54PsinrtqBHcUVfO5cBU+rk5cObeQmPgXYmNuOqM+rxNBHnf6DlEUyf91DT+/9RoOqwW9jy9zbrqD5HGTDvme7g47mSsryV1fi8cFCCLJ40IZNz8O/7CjF1TcHR2YvvmWjs8+xV5c0rtcN3QovgsX4rNgPqqA4y8pb7Y0s6Z6DaurVrOlYQsuz95+DRHGCM6KOotpUdMYFzYOvWrwZdL1F+HJqYQlpdBQUkTeL2sYOedcEjKCKd7WSMHmBtKmT6fjk08YWSby2Vn7v9dL7cXLs18+E8Vledw5At9//z1tbW2EhoYyd+5czJvr6Pi6FACfebF4z4geNOc4q9vDa9VNvFDZhNXjQSMIXB8VxO9jQ/FXH53EaDLtxO15kp1ZBcCZJSzvQRAEpk2bxqeffkpVVRUulwuVSoU22Q91hBFnXTed2yvIE/6AKDr5WLgGgAXBfmiPUsA/2QxagRmksgjgu98se22fn18CXjrZcZ0MRFGk+YUX8HvtP3gA44zp5N0ymz+W/4vK/EoA/LR+XD7kcq5IveLQ2cpOG9Ruh6rNUL1VEpat7Qeu5xMliaFhwyA4VcrCDUySrCqAsrVriRk3o38OdjCjVIF/rPRgOgC5qh5fGrcT2sqhpVDKtGrcLWWBt5dD3U7psQeNN0SNhegJkuAcPR60e7OTBEFgaOBQhk4ayl1j7uKLoi/4IP8Dykxl/GPTP3jFEMItj13LpP/l0vXV1zQ8+He8p0xBnDoVYSDKWE9jzuRxx+32sPL1HBxmUCm3YndZiBk2kpFzzxvo0ABpZr+srKxXUG5p2b9aTqvVEhMTQ3R0NDExMURERAyIdYPH5sLVbsfdbsPdYcfdacdtckjPnQ7cnQ5Eu/vIG9oHJQJ7Mi8FtQJBo+zJQFYgKKXsZBR7M5URkFztPCKIPc0y3CKiy4Po8CC63NKz04Nod+O2u3G32/fbZxhRhIXsnR1313Vhb1LSUp2LKthAekQMIxem0+Iykbkjk+zs7N6s5sTERM4++2zCw8NP8K95ZnAmjzsHZeMLUJ9FjRjEg65refKSDMamB3PxzhK2mLoBuDoikAcTI/D+jR2GzVZHdfU71NV/isslZfFpteFER11NePilx+TfN1hu5E4mg+KYtd4w51/w5Q2w5lEUGS9w33lpbC1vo6Chi/LdLfx7eBR3F9bwrnAzUWI1lP4bS3cJqamPoFCcwgkQJxF53Dlx7JZufvzPixRtXg9A4tiJzL3pDgy+fgdf3+pixw+VZP9cjdvpAQF8YmD+0gkERBydoCKKItbMTNo//ZSulT8gOhwAKAMC8L3oQvwuvBBt8kEt+o+Kqs4qVlWt4ueqn9nVvKt3uUJQMDpkNNOjpzMtchqJfomDY7wYAARBYPR5C/nuhSfJWf0DI+ecS+qkMElg/nILMSnSvXpsE1JyV8/fSSkoeXr60yT5Jw1g9AOLPO4cnJycHLKyslCpVCxatAh7ZnOvuOx7fgLeUwZHoo8oiixvNvFQaS01NqkZ+vxgXx5MjCBWf3S2O2ZzIaVlz9DSsgoAlcqb2JibiIq65owRlvclNTWV4OBgmpubycnJYdSoUQiCgPeMaNo+KqCk+jEsQWWIhuEUWNMA+EPc4K0YHdQC85mKx26n/q/30fndd4iCQNeNF3F/Yh7F2f8EIMoriqVDl3JB0gUHzhZ73JLIWbYWytdJwvKe9sN78AqTBM7IMRA+AsJGgjHw5Bzc6YRSLZVyBqdA2vl7l9tMUlZ4/S6o2wHVW6Qs57I10gNAoYKocZAwQ3pEjum11fDR+HDtsGtZnLaYlRUreTv3bYrbi/ln1hNEjo3knoTLCX/pawwbNlB9881EPvccSp+jL6OTkTkUv35STG1RB4Kyke7WnSiUSmZdd8uA3UCIokhzczPFxcUUFxdTWVmJx7M3g1etVhMbG0tCQgLx8fGEhoaelOxk0SPi7rDjarVKjxYbrjYb7nYbrnY7os115I2oBJReGhReapRGNQqjuvdnQd+TTazb+7xxxxbOmnkWqBR9+nmIHhHR5sJj3efR7ewVwtvLaugoq8VL7Y9eacTgBlt+G+TvLY0V1ArGR0YzdmQS2ZYSMkt2UVpaSllZGRMmTGDmzJloT8DrUeYMo7kQ15rHUAH3OW/gH5dMxBmhZ9a2QixuD6EaFU+nxnB24P7nPYulksrK16hv+ApRlG56fH3HEh29lOCgOSgU8iXvKcXwS2DDc9C4m7CGn9Gp5/LIRcNY9OomXv+ljB/GRHF7TAgvVzXxmvqf/Mt1O/UNX+J2Wxk69Dn585bpdxrLS1n+7ON0NNaj0euZufRmhk6ffdBztNvlIffXOratKMdmlsanxFHBjDs/npyi7UclLnssFkzfLqf9gw+wFxf3LjdOnozfZZfhPWsmwnFOqld1VvGj6Ude/vZlCtoKepdrlVomRUxiVvQsZkTPwF93aLuPM42kcRNRabQ0lpVgbmslPMkPQRDpUgfR8t5jKAGtC0I7oMlXRBDhvin3MTly8kCHLjPI6Orq6vVdPuecczCUuQaluFzQbeW+olo2dkg+y+lGHf9MjmSq/9FZelmtNZSVPUND4zeAiEKhR/TMZPKkh1Grj6Nf2GmCQqFg8uTJLFu2jMzMzF4vZv3QILriN9MRtAZB0JAb9AhitZPJfl6D0nt5D/LV1yDD1d5OzW23Y925Eww63r4okJWB30AHhBpCuWXkLSxMWohasU/WqrUDSlZB4ffSs61j/42GDoOYSXuzZ/1i9mucJ9PH6Hwln+h9vaI766Xs8aotkpdzfZb0XLUJ1j4mNTpMmAFDzoXkeeAVjFqp5vzE85mfMJ8fK3/k5Z0vU9FZwe81XzDzxiiuf6cJNm6i4sqriP7Pa2iiBqcPj8ypwe5fasn9pRaFUkBkDYgio85ZQGDkybU68Hg8VFVVkZ+fT3Z2NuvWret9TRAEoqOjSUxMJCEhgcjISJT96AvtsbvRmqB7RyOuJgvOJiuuFguuNhu4Dl2tJ6gVKP21qPx1KP20KH20KH00KH17nn00CHrVsTXt0dAvDT0EhYBgUKMwHLwSwleM55N/3EttQS7xI+bQXTscb7WC8VMj0FhdOOvMuDvsOCo6oQKG4kuiYhK7AmrJMZeyefNmcnNzWbRoEXFxcX0ev8xphsdD+8c34e9x8IlrBudc9Ds2GD18XFANwIUhfjyWErVf+aW5u5jKitd6blg8gILQkAXExNyAj8/wgTkOmRNHEGDan+GzpcRUfQGufzEmNoBFo6P4YkcND32by+tLxrK1o5ttnd185PMat5qX0tT8PYoCLelpTx7WAkVG5ngRRZGcn39g9Tv/we10EhyXwPl/vBf/sIiDrluW1cymL0sxNVsBCE/yZfKiJMLiewSVosPvz1FTQ/uHH9HxxRd4OqX+Z8qgIPwWLcLvkkVojtOSqrqrmh8qfuDHih/Jb9vbVNRL7cX06OmcHXM2kyMmY1Abjmv7pztqjZaY4SMpy9xK2Y5tjDj7HPy8PbR3Kun0jsHfJFmWhLaLhHbAX75RkZxx5mYuyxyalStXYrfbSU5OJk0RTfvX0qAwWMTlbrebZyoa+U91Ey4RAtRK7okP53fhgaiOwg/a6eygouIVqmveRxQdCIKayMgriYu9jU2bcs9ocXkPQ4cOZfny5dTU1NDU1ERISAhd3TnUJ70JQIjtVt5pkta9Meoo+6wNELLAPIhwtbZStfRa7MXFWAIM/ONiBxXBjQToArhpxE1cknIJWmVPFlhnPeQtg8LvoHID7OOJhV8MJMyEhOkQPx2MJ+dLKIoiVqebdosTs81Fl81Jl91Fl82F2ebCbHdidXiwOt3YnG6sDjc2l/TscHtwuUVcHunZ6RFxuT24PfuLON3dVoxZvwCgVAioFAIqpQKVQkCtVKBSSs96tRKduudZo0SnUqLXKPHSqvDW7Xmoe3/31Us/91umpk84pC+UHiBNClRukDLNy9ZJNhsFy6UHgjQRMORcSL8QRUA858Sdw9kxZ7OibAWvZL3CGmrYfbXII19741daSuXiq4l97100MTH9E7/MaU17QzfrP5OyYVIndLNjRR16H18mLrrypOzf5XJRVlZGfn4+hYWFWCx7PeENBgNJSUkkJyeTmJiIwdD3Nzqi24Or2YqzvhtHfTeuxm6cjRbcHXaiUdK+6cC7P4W3GlWgHlWQXnoO0KEK0KH016Iwqk+bslFBEJi59CY++OsfqMxdTdDQKGqr/fk5u4XL/zYejU6Fx+LEXtmJvdyEvcwEtWbGt8SSIASwQV1Ac1cn7777LrNnzWbK1Cmnzd9Gpu8pW/MWCW1ZNIp+1E59gO+wsrveik4h8FhKFFeG7622kjJhnqWhcRkgIggqwsIuJi72FgyGAWpQ14dUVFSQlpbGkCFDyMrKAuC6665j+fLlhISEsHv37iNu48MPP+SJJ54AwMvLi1dffZWRI0ditVqZNGkSeXl51NXVERQ0SG9W0hZC0BB0LYWw638wegn3npvKj3kNrC1sZnt5G68OjWXOtkLWdbqZH/sWMdXX0NDwNRpNMMlJ9w70EcicZjgddn56/SXyf5UqEkfMPocZS29ErTmwSqetvptfPymipkCyJvQLNTDpokTiRwYd8Ty4xwaj9e13MK9eLdksALqRIwhYvBifefOOK1u5zdbGyvKVrChfsZ/9hVFtJF2TzpIJS5gcMRmNUraZORoSx4ynLHMr5VmZjDj7HPx9ob0TrIaQXoG5wV9gwVYP/uMnoe/JTJSR2UNxcTG5ubmo1WrOHjqV9p77Md/z4geFuLyy2cT9xTXU2p0IwJKIQO5LCMfvKHyW3W47NbXvU1HxCi6X1CcnLHQhCQn/h14vJ8bti0ajISQkhPr6enbu3MmMmWPYlXMrouDEt3oG37smUadzkm7UMS9ocAvyssA8SNhXXK4PVvKPy+2YfJRM9zqLRxc8io/GR/JOzvsf7P4cyn9FMtgEBCXEnSUJkinnQGBin8Xl8Yi0WRxUdbpZW9hEU5ed5i47TZ02WrodtHc7aLc4ae920GZx4OiHBlQHsKczch+jVgr4GzTSw6gmwKghwKghxFtHiLeWEB8tId46OmyS8K08kQ6uej9InS89AEy1ULRSykIvXyfZalRvgVX/kKw0hl+KauhFLExayLy4eby9+23+u+u/3HWFhfs/V5JS3UDlkmtkkVnmmHG7PPz0Vh5up4chE0KoypFs0CZf+jt0Rq/+26/bTXl5OTk5OeTn5+Po8RAECAgIIC0tDYvFwvnnn9+nthceuxtnnRlHrRlnnRlnfTfOJgu4D5KRrBSw6z34xQejCjGgDjGgCtajCtSh0J45p8/Q+ESGTp9N7tpVuO3bCIy6mNYaMxs+K2bm1WkoDGr0aYHo0yTxz2NxYi1oQ5/bygVF3mx3lZCtqmTVz6uo313JRUsvQ6WXveNl9qe500rqjkcB+DbiFl41qOkyW4nVaXhzWBzDvKXJJYejjYrKV6ip+bA3EyYi4lJiY24+7W5YEhMTe8VlgKVLl3LHHXewZMmSo3p/fHw869atw9/fn++//56bbrqJLVu2oNfrycrKGvxVBQoFnPUn+Oom2PIfGHU1wd5abjorgad/KuLltSV8eMNE/p4UwR8Kqnm6XsPy9P9QvHspVVX/xd9vPEFBswb6KGROE8ztbSx76mEaSopQa3XMufF20s6aecB6DpuLbSsq2PVzNR6PiNaoYsL5CaSfFYHyCE2ZRLebrlU/0/rWm9iyJQFYUKvxOe9c/BcvRj/82KsyLE4La6rXsKJsBRvrNuIWpR4QepWemdEzOSfuHCZHTmbTr5uYET3jmLd/JhORIvmhNleWAaDVSveGTlXP+UoFnXqRaU3+RLz0qDzBLrMfDoeDFStWADBtzGRcX9WCW8RraiTe0wb2eqbG5uD+4hp+aJGqJoZ76XliSBSjfY5s5yOKIk1NKygp/Tc2Wy0A/v6TSEq8R64sOwzh4eHU19ezK2c7AQGvY7c34Os7Bt+dN/DWUKmK9d6EcBSDfBw5c+6QBzGu9nbKr7kGV0kpNYHw0BWQmDCG+ybcR312LT5V2yDzbShcCR7JtwulBpLnQtoFkDwHDMfXIdjjEWnsslHe0k1Nm5WaDit1HVZq263UmazUd9hwuHtE443bjrg9rUqBn0GNj06NV0+WsLdOhbdWhZdWhUGzf0axTq1Ap1KiVStQKRR7M5KVAmqFAoUCBPb+E23fvo2xY8chIiKK4HR7cHlE6bknA9rhErH3ZEZL2dJ7s6a7ejKrzT2Z1V02J102FyarE4vDTVOXnaYu+2GOUOJPv3xPmI+OSH89kX7SI8JPT3SAnrhAIxF++mMToH0jYdz10sPeBaWrIf9bKPgOarZJj5X3QsJMdGOWcuvwGwhuDmadch0PX7qG+z6F1JoGyq9eTPwHHx53uZzMmcf27yporurCO0BH1JBOsldWoDZ6MWzmnD7flyiKVFdXk5OTQ25u7n6ZymFhYaSlpZGWlkZwcDCCILB27doTEpdFpwdHnRlHTRfOWjOOGjOuZkvv3Ny+KAN0qMONqMOMaMKNqEINqAJ0rPv1FxJnpB13DKcLEy66jLx1q2ktzuOS+2/h+9cs5G2oJ25EEPEjg/dbV2FQYxwdinF0KP42F/5ZSYT/upNV5u3kNhbj/PfbLJg3H+8JEfLNlgwAFoeL9qwvCKOVYlUS/0iai8stMi/IhxdSY/BVq/B47FRVvUVF5Wu43WZAICz0QhIS/oBe37/nvJ9X993E/b7MnlV6TOtPmzaNioqKo15/8uS9Xp8TJ06kpqbmmPY3KBh6IY7lf0bTuFvqaxE5hiWT4nhtXSkbSlrJqu7gsqgA3qtrZUenhbdNcVyT8GdKSp8gN+9uJoz/Fp3uQOsCGZljobG8lK+f/Bfm1hZ8gkO56C8PEBQTt986oihSktnEhs+K6TY5QID0syKYtDARndfhJ1U9Nhumr76i9Z13cFZWAaD09cX/d1fhf9VVqI6xykAURTIbM1lWuowfK37E4pKut1SCimlR05gfP58Z0TNk+4sTxD88EoVSiampEVt3N5V10jVraeJFxFavosEfztkBqf98ElXA8d2ry5y+rF+/no6ODkKDQojfrkO0u9CPCML3vIGrwvKIIu/UtvBIWT3dbg9eSgX3JoSzNCLoqOwwOjt3UVT8L0ymHQAYjSkkJd1DYMB0+Zr/CHh7exMQ4Edo2Fd0dtWg00YwfNjLPNbYRLvWyShUzAkc/H23ZIF5gPHY7RTcsARlj7j87yVG7px+N5dFzkTI/pCYLa/BugZpZUEh+fQOvxRSF0hZsEeJ2e6ipMlMUWMXpU1mylu6qWy1UNnWjc15+KxjP4Mao8JFfFggId5agnsyeYO8pAxfKeNXQ4BBg17Tf36oAE0+StIj+ucfy+Z0025x0N7tpN3ioK3bQavZ3is6N/Vkbte2ddHlEKntsFLbYT3otjRKRa/YHBtoJCnEi5RQL5JDvfE9Uuae1nuvnYajW8pq3v0FFP8EpT9LD68wxgZO45KLHuCHhAX8W/tP7ni/jdSaZgquXczQL75B6Tu4yydkBp7WWjOZKytBgNlLU1n77sMAhI4ch0rddxmmnZ2dZGVlsXPnTtrb23uXBwYGMmLECIYNG0Zg4Ik1GhVFEbfJjqOyC0dVJ/aqLpx15gMzkxUC6nADmkhv1BHGXlFZoZNPh4fDPyyCIZPPomDDOkq2rmTiheex4fMS1n5YSOQQfzSH+PspdCq8JoYzYUIYARtj+PSnrygS6/hp+Q9Myx1HwCUpKH3lBoBnMqIo8vjnv3CP+xsQ4J7U23EplNwZE8JfezI1WlrXUlT0T6zWSgACA6aRmHg33t7pAxz9qcObb77JueeeO9BhHDsqLY2hM4muWQY73oPIMfga1CyeFMt/1pXx6toS/nP1WB5JjuLczCLerG3m1olLCezYSmvrGopLHmP4sBcH+ihkTmGKt23iuxefwmW3EzEknYV/ug+Dr99+65jbbaz7qJCKnFYAQuJ8mH5lCiGxh79n8VgsGH5aRcnfHsDd0gKAOiqKgKVL8bv4IhTHaAtWb65nWekylpUso8a8d0JpZPBIFiQsYG7cXAJ0stDZVyhVKnTeoVg66nj77m8QhND9Xi8JF7g6+QqMk+XGfjL709XVxaZNmwCY5EwBswtNvC8Blw1BOJEq6ROgxGLj/wqq2WrqBmB+sC+PJEcRpj3yPaHd3khp6VPUN3wJgFodQGLCn4iIuBRB6F996HQiNS0LpbIGUTSQkfE21W5v3tRLWeB/rBdPCZFevqMeQDweDxvu/B1BuSW0+MDndwznjcl3Epv9GXx2B7gd6AF8Y2DMEshYLHn5HnabIpVtFnbXmthdZ6KwoYviRvMhhVCAQKOGuCAjMQEGKRvXX8rG3ZOZq9coWbt2LTNmTOjbP8AgQ6dWEu6rJ9z38F05165dy8QpZ1FvsvVme+8Rm6vaLFS2dtPYaae0uZvS5u4D3h/qoyU5xJshYd4Mi/RhWIQvCcFeB8941hilTurDLwFLG+z6BLa/BS1FxJk/hec/Z176hYya9giPBHyI/t/ria1pYuN1FzPpoxWotLq++vPInGaIosj6z4oRPSLDpkfidtTQUFKE3tuHoPQTL19yuVwUFRWxY8cOSktLEXv8A729vRk+fDjDhw8nLCzsuE+UokfE1WSRfH/LTdgrOvF0OvZfSQBVqAFNtDeaKC9JVA4zIqjlxk/Hw4QLL6VgwzpyVv/AjS9dQUmmD43lnWSurGTShYfP8BQEgZQpw7gq3MD7779PjqqK8FJ/4l62EHz9MNShRy65kzk9+Wx7DeF5b2FU2fnRdyJbgkbzZEoUV0cEYbXWUFT8L1paVgFgNCaTkvwAAQFTTmqMx5ppPNhYs2YNb775JuvXrx/oUI6L+vA5ksCc8znMfQS0Xlw/NZ43fi1nVX4TLWY7o3wMzA304cfWTt6ra+P2If9k0+Y5NDV9R0fHNfj5jR3ow5A5Bdm1aiU/vfEyiCLp02Yx56Y795uAFz0iuevr2PhlCU6bG41exeSLE0mfEnFYkcht7qb9o49oe/ttvNvbcQPa9DSCbrwR7zlzEFRHf4vudDtZXb2az4s+Z0v9FsSeMq1QQygXJF7ABYkXEOcbd7x/ApkjYPANwtJRh9PWiVIjCczerd8CoNVkEHDJHQMZnswg5ZdffsHpdJLgE0VQoxalv5agq9MQVCf/HsXpEXm1uomnKxqwe0RCNCoeS4lifrDfEd/rdtupqn6DysrXcLstCIKGmOilxMXdhkrl3f/Bn0aILEep/BWPR0F11fnMnpXIvVmlOIELahwMLXEhesQBm4A4WmSBeYCwuWx8ef9VjPolH5saiu+axcuKTlRvn49Uvy1Ayrns0o5lxEV/BMXBZ37qTVZ2VHawo6qdnFoTeXWdmO2uA9bTKBUkBBtJDvUmOcSL+CAj8UFGYgIN+OhkL8xjRadW9v4ND4bF4ZIyxFu7KWvppqTRTFFTFyVNZho77TR22llf0rLP9hSkhfswPNKXUTF+jIkJIDpAv7/4ZgiAibfChFugciON3z1GaMsmyP2SkNwveS5hJp/9+QI6/vkNQbl1fHnbecx75St8tXIms8yBlGe3UFPQjtYgeQOuevNZADLmzcehPv7mLiaTiczMTDIzM+nuliZYFAoFaWlpjB49moSEhOOyvRA9Is76buxlHdjLJEFZtO4/1gl6FdoYbzQxPmhivNFEe8uZyX1IUEwcPjHxdFaVk79+DVMvm8UXT2SSvaqa9CkR+AYffnIOICEhgdmzZ7Nq1Sp+1eUT1ulH0yvZBN80HE2kfCF6plHc2MUTy7ayRikJyK8kX8t7wxOYFWCkquotSsuexuOxoVQaiY//PdFR16BQyNcsx8KuXbu44YYb+P7770+4UmSgsBijIXqC1Jui+EcYdjEh3jqmpwSzuqCJb7PruHZKPDdHB/Njaydv17Zwe0w6MTE3UFHxEiWlTzB2zGcDfRgypxCiKLJ12ees//hdAKZctpgJF1++33W5qdnCmvcLqC3qACB+ZBDTrxyC0e/QVTluczft779H2zvv4jZJTa8c8XEk3nsvxmnTjmnSvbKzki+Kv2BZyTLabG0AaBQaZsfO5sLEC5kQPgHlIe4fZfoOrUG6FxRFBx48KFAQ0WLGoVJgiLwG/0j5Pkxmf9ra2sjMzAQgozkSVAoCF6ejMJz865uCbiu/z6til1lKRrwyPIC/J0YcVRO/lpY1FBX/E6tVsvUJDp5LUuK9GAyx/Rrz6Uhl1RuI4teAgpKSGTQ2aHivrIb1HWb8VUruqhMR7W7cJjsq/8GdQCjfeQ8AJruJx/9zNYuXFeMBuhaFc13xB9KLCjWMvAKm3AVBybStXdsrLouiSHGTmY0lLWyvbGdHZTt1JtsB2w/10TIswpehkb6khXmTEuZNbIAB1REaS8j0HQaNirRwH9LC9y+Nc3tEatotFDWaKajvJLeuk911Jmrareys6mBnVQfvbZJKgIO8tIyO8WNsnD+TEoJIj/CRspwFAeKmkJ/+Z0JHJcGmVyDzHYSyNVzGGjIvGYXjw0aGb6jnqUcXcvtf/keYMWwg/gwygxS3y8OGL6Tu1uPPT0DERsm2TSAIDJs5hx27845pe6IoUllZydatW8nPz+/NVg4JCWHUqFGMGDECo/HYMlRFUUTdDeYt9dhLOrCXduCx7C8oK301aON90cT7oo33RRWkH/Szuqc6QWnD6awqZ/eanxgz/0KGTAijcEsDG78s4dybjy7zffLkyRQWFlJdXU1haAvDG8NoeikLr+lReJ8VhdIoC4hnAm6PyN2f7+JS8Ud8BCubfDN44KzzSVM3kbnjBkwm6eYrNGQBycn3odWGHmGLZy4vvfQSAHfcsX+mXFVVFRdffDHvv/8+KSkpAxFa35G6QBKYi36AYRcDcNGoSFYXNPH1zlqunRLPZD8vhnvpyTFbWdliYkHMTdTUvIvJtIMucwHeXqkDfBAypwKiKPLLh2+z/dsvQRA4+/pbGTnnvP1ez99Yz6+fFuOyu9F7qznr8hSSxoQcUiD22O20f/wxrf95HXePVZh+zBiCbruV7Q4HXtOnH1VsTo+Tn6t+5rPCz9jasLV3ebJ/MpckX8L8hPlyYslJpqNeup72OIro8g3E3xaG1t5OU/AoZt08EaVcNSfzG9auXYvH4yHZE06A6IX/hUloIvuvsfrB8IjwalUTj5fXY/eIROs0PD0kmmkBR072sFqrKSp++DfVZQ8SECBbwRwPNTUfUFLyGADpaY/T2GCntL2af1ZLlksPJEUQnFeDo92Bq8UqC8wy+9NqbeX339zAzR8UowCEEVamkQkqHYy7ASbdsZ8NRqvVw8dbq9hY2sqm0hZazPuXgHvrVIyK8Wd0jB8jo/0YGuFDiPfg/tKdySgVArE9vsxz0vfeLHdYHOTWdZJd09Gbkd5itvNjXiM/5jUC4KNTMTEhkClJQUxN7mn24RsF5zwK0/4MW/8Lm15ijH0nFWO8sG7xYeHXjdwV/Tueuuwdon3kxn8yEsXbGulstuIfZmDYtAiyflyB2+kkdsQofIJCgKMTmN1uN7m5uWzYsIHGRul7KggCQ4cOZfz48cTExBxTNo7H7sJe0oGtsB1bUTuxHUo6KOl9XemnRZvohzZBEpSV/tpTwovqdMI3NhGDrx+tNVXUFxcy6aJESnY0UbazmdZaM4FHcYGsUCiYNWsW7777Ltm2UtKEYFSiEvPaGro31GEcF4bXtEhUfvK57HTmrQ3l5FU387p2JQAdMRcy1PQJW8qewuOxo9GEkJr6MMFBswc40sHDlVdeydq1a2lpaSEqKoqHHnqI66+/noKCAqZMOdA25J///Cetra3cdtttAKhUKrZv336yw+4bUs6Bnx6QMpg9blAomZMeirdWRXaNicrWbmIDjSwK9e8VmC8MjSM0dCG1tR9QV/cpQ1IeHOijkBnkiKLIqjdeZteqlSiUSs6940+kTp7W+7rN7GTNhwWU7WwGIGlMCNOvHHLIJn6iy0XHV1/R8vIruBqknjr6UaMIvusuDBPGS9cwa9ceMa5mSzOfF33OZ0Wf0WyV9q1T6jgn/hwuSbmEEUEj5OuhAaK7Q/o8XO4KjM55AHiba1AuvIewBFnsl9kfu93O7t27EYDRzniM48Mwjj25E+iVVjv/wov80joAfhcewENJkXipDl/x4Hbbqax6ncrKV/F47CiVXiTE/56oqCVyddlxUlf3KYVFfwdAEK4mPHwRYeFrWaMLpluEOYE+XBkWQHtgK47yTlytVkj2H+CoD48sMJ9Emi3NXP/j9cz/tITgTlAGOklOM8Goq2HGX8E3ErdHJKuynZ/zG1ld0ERBgxXI6d1GiLeWKUlBjIsLYGycP0nBXijkjL1THj+DhilJQUxJkoRjURSpaLWQWdnO1vJWNpW1Ut1m3U9wDjUILDDnMTs1hLFxAWhm3APjb4RfnyZW8ToVNTao1XHJp/Vc67WE1899kwTfhIE8TJlBgOgR2fGjVMo0el4sCqWC3LXSDPTwWXOPahsOh4OdO3eyadMmOjo6ADAajYwZM4axY8fi43N0jThFUfJRthW2Yytow17ZuV9TPrdaxCs1GG2SH7okP5QBOvkGaoBRKJWkT5vF9m+/ZPfan5h7052kTQ5n97padv5UxdlLj9x0zePxEBcXR3h4OPX19dQJ7cSIPWOf04N5Yx3mzfUYMoLxnh4l+zOfhlS3dfP4DwWcq9hOiNCBJXAIGr81FJfkAhAWdhEpyQ+gVss35/vy8ccfH3R5RUUFzzzzzAHL33jjDd54443+DuvkEJQMAQnQVgY12yBmIjq1kqnJQXy/u4GNpa3EBho5J9iXf5TW8XNrJw6Ph4iIS6mt/YDGxm9JSX5APofIHBJRFFnzzuvsWrUSlVrDBX+6j/hRe727q/Pb+PmdPLpNDtQ6JdOvSCFlwsF7SYiiSNeqVTQ//QyOigoAtEOGEPzHP+A1ffpRfQ9FUWRn007+V/A/fqr8CZcoVXEl+CZw+ZDLOT/xfLw1srXUycbjcWMzmzH4SOenwKg4WmsqqA51MMRuQOPoxOYTxpjfLxjgSGUGI7W1tXg8HuLdIfgHBuC74OTdm4uiyMcNbTxQXEs3KoI1Kp4ZEs2coCNfa7W1baCg8IHeZsthoQtJSroXrTakv8M+bamp/YjCwgcASE66j7IyqZ/NRt8QanFgdDt5JjUaQRBQBUk2hK6WA90LBhuywHyS6HZ2c9sP1+OVXcq0XBGUIrGLkhAWf4snKJXtle18u2Y33++u3y9LWaeE6amhTE0KYlJiEInBRvni+AxAEIRej+dLxkQBUN1mYVNpK+tLWviluJlGi5M315fz5vpyvHUq5g0N4/yREUw++1+oJ9xMdNS9lD6/nWFVStK3NnGrcD0fXvAZQfqgAT46mYGkYncr7fXdePlrSR4XiqmpkaaKUjR6PYljJx72vXa7nS1btrB582YsFgsAgYGBTJ48mZEjR6I6iqY0olvEUWnCmteGNa8Vd9s+J0oBNLE+6Ib4o0vxZ2NxJjNmpp3Q8cr0PXsE5tLtWxBvuJ2Ms2PI/aWW4q2NTLggAe+Aw2ceV1dXs3z5cry8pGznKkULMZ7fjEseEcuOJjQx3rLAfBpyzac7cbtELvVaDy6oDzKB0Ipa7U9a6uMEB5890CEOOEqlEpPJREZGBllZWYddd/ny5ce0bavVyqRJk3A6ncfliT8gCAIkz4Mtr0LpaoiRzleTEgP5fncDm0pbuXJ8DHF6LalGHQXdNraaupniNxSNJhiHoxmrtQKDIX6AD0RmMLLHFmPnym9RqlQsvPtvxI0cDUgN1LevKGfbdxUgQniiL2dfm45P0MH7Dlh359L0+ONYeqoF1LExBP/+9/icey7CUfy/Od1OVlas5P2898lvywdAKSg5O+Zsrky9knFh4+R7wQFEQOD1W6/BKzCI8KQhNAsdUlWyUrqO8emsIOQPd6HVyxmdMvtjt9upq5Wyhoe7Y/C/LAWF5uT4pJucLv5SVMOypg4AJuDgrXHDCNQc/t7N4WihuPhRGhqXAZIdxpCUh/D3n9DfIZ/WVFW/TXHxw4AkLsfEXE9Z2Vp2dHbzeqcTgBmFOwmYKZ2H9tgHeqwH9lobbMgC80nA5XHx5+VXU9hRxnOr3IBA8OVnU/27x/hkWzXfZq+moXOvyBITYGB2WgizU0OxVedw9iy587UMRAcYiA4wcNm4aNwekbeWraZNH8nP+Y0UNZr5PLOGzzNrCDBqOG94GFfMe5Vo50vUPfsBi9e5uS2tmTu+uZy3LvoGg0YWbM5UsldJ2csjZ0ejVCko27kNgLgRo/frjL4vDoeDbdu2sWHDhl5hOSIigqlTp5KamnpEgUJ0erAVtWHNbcVW0Lafl7LCqJYE5SEB6JL99m9wUXKQjckMOEHRsfgEh9DZ3ERDWTHhSUNIGhNC8fYmctbUMHlR0mHf73a7aW5uprlZKistVTYw1XWgN6rvefF4TYzol2OQGTieyKygrMJEqLKNaa4sPALUBDiAFMaPewedLvyI2zgTiI6Oprq6ul+2rdfrjyhaD0piJkgCc+2O3kWTEqTGhZvKWhFFEUEQmOjnRUG3jewuK1P9vfH1HU1z8w90mDJlgVnmoGz87CO2f/slCqWS8//vr73istXsYNVbeVTltYEA4xbEM/ZcqfrrtzgbG2l+5llMyyQhRunnR9Cdd+B/2WUIh7i+2heT3cRnRZ/xUf5HvTYYAboAFiUv4rIhl8n9VAYJgkKBV0AgpsYGNhiK8LGriMFAamMCHm8wOKqJX3TXQIcpMwjJ3pGFy+0ixONL4vRhaGOOruLzRNlu6ubWvEqqbQ6MSgWPp0QRlL/rsOKyKHqoq/uUktIncLk6USi0xMf9npiY61Aojr8ZvAxUVP6H0tJ/A5CS8g+io64GoFMU+NPuChyiyKjmGqKb6zCZTAQEBCBoe3qyOdwDFvfRIgvM/Y3LztNfXMx6WxULstyEtwg4g4L5feBlbHz2l97VIv30LBgZzvkjIhga4dM7M722Vp6hljkQpUIg2V/JjBmp3HNOKiVNZpbvquPb7DpKm7v5YHMVH2yuYnjEVP4RvwXv8mIWb3Dz5swm7v9kHs9csgJBL5cen2l0tdmoLepAqVaQPkUS7sp2SAJzwpjxB6zvcrnIzMzk119/xWw2A5LoMXPmTOLj4w+bQSOJyu1Ycpqx5bXtd0JUBenRpQeiHxqIJtpbbsx3iiEIAgmjx5H1wwrKdmwjPGkIw2dGU7y9iaKtDUy8KPGw1k0ej2e/352CGxERAYF6oR0lChJnDcd7WlR/H4rMSWaHqZtXfixGAO4MWYXQLtIUqCEy6Xaqq0bJ4rLM4YkcIz3XZoIogiCQFOJFoFFDc5ed2g4rUf4GhnpJVRT5ZisAPj4jaW7+AbO5YKAilxnEZP34HZu/+BhBoWD+XX8hcYyUmddY0cnK13Mwt9nReamZe91QotMDDni/x+Gg7a23aPnP64hWK6jVBCxeTNCtt6A8CsuwZmczD29+mGUly7C5pYSjJL8klqQv4byE89AqtX17wDInjDEgkLW+hWQnm7jgV+m85dYmIYgevGYnyRnmMgdl+3qpMecIYyI+s2P6fX9uUeSlyib+XVGPW4SR3npeS48j3qBl7WFOh93dpeQX3IfJJFVhBAScReqQf6LX93/MpzOiKFJa+m8qq14HBFJTHyEy4nJA+qxexECt3ckYHwMLy5upAzo6OggICEB0SfdOtoK2gTuAo0QWmPsTm4lf/3cxHwhN6JwertigBew8GT+PjdVdGDRKLhgZwaVjoxgd4y+fjGSOm6QQL/5wdgp3zU4mr76TzzNr+HJHLTl1Zh6ImsvT5cWcvV3Jd+PcrPIy8dX7c7j4ym/AW86GOJMo2io1mIkfEYRGr8Jhs1K9OxsEgfiMMb3riaJIQUEBP/74I21t0oksPDycWbNmkZR06Atn0S1iL2nHktWMNa8V0b5XVFZHeqEfFoR+aCDqEEM/HqXMySBh9HhJYM7cxpTLFhOW4INPkI7OFhu1Re1Epx54E74Ht/vA2XcHLrSo2aEq4/wxc/A5W76IPd3ocLq4ZlUugsmBRuPmArtk66Cb8CdCE/9MTfXaAY1P5hTANxqMwdDdDO0VECBNdCaFeNFa3kZZczdR/gbSjZJ1we4uaWJUo5GynJ3O9oGKXGaQYqosY8f3XwMw9+bfkzJBapZZsLmeNR8U4HGJhMb7MO/GYQe1fzJv2EDjvx7u9Vn2njOHkLv/jCbmyOewvNY83tr9Fj/W/YiI1H9iSuQUlqQvYVL4JPm+cJDidDtZGVVEtsaEwgP+XT3Z6eoQNPZapt563cAGKDMoqS+poam7FY2oYtTFkxFU/WtP1exwclteJb+2S+fB26JDuDchDM1hqk49HidVVf+lrPxFRNGBRhNESvIDhITMl8ejE8TjcVFQeD/19Z8jCCrS0/5NWNjC3tf/Xd5ADmoC1Sr+OzSOzZW7qauit9eRu1Oy0BWdnoNtflAhC8z9RVcDHR9czIOaDlApmb09CY25iHKfcJpHT+WRyXFcMDICb53szyTTdwiCwNAIX4ZG+HLPOams3N3A+5v92VqUyvjGAqZvTOV/c0t4XN3NuLfmEP27L6XGOTJnBEVbpQaRKROkiYWGkiLcLhehCUkYfP2kZQ0NZGdns27dOkDyWD777LNJTU09ZCMbZ103lp1NWLKb8HQ5e19TRxjRjwjGMDwIVeDBvQplTk2i04ejVKloqizDbulGazCSMj6M7d9VULS18bAC828zmAE0qLDiYFrKeMIXpssXsqcZoihyV34lpgLJq/LamI/wqXEhqvX4jvrjQIcnc6ogCBAxGop/gPosCJDsLhKCjWwpb6O8pZtpKcHE6aWMz2pLO9szL0MhSOW8DQ1fMzT96YGKXmaQ0VRRRtlP3yKKHiYuuoJhM85G9Ihs+baMzO+lRlbDpkUy9bJklL8Rg5wNDTQ+/gRdK1cCoElIIOyBv2GcNOmw+xRFka0NW3lr91tsrNsIgBIl5yedzzXp15Dkf3iLKZmBxWQ38ce1f2SHphSVS2D29iAEBBToEQQtyXPiUGvkjHOZA9m+YgMAUdpgjMn92w9pm6mbm3IrqLc7CVKreCk9hhkBh6+m6OrKJS//XszmPADCwy8lOemvcrPlPsDttrI79y5aWn5GodAzfPhLBAXO6H39k/o2nq9sRIHIf4bGEqHT4Osr/d1NJhMACu3J8eruC2SBuT+wtCG+s4AnhVZaVF4ouyOYlNUNQOCSq/n+9mnyzbNMv6NTK7lwVCQXjopkZ+hNcN//cVZePZ+PTcUaUMBDWhuvvz0fxQ0/gn/cQIcr0890NFpoq+tGa1AR01PiWV9SBEB48hBsNhurV69m61apfEun0zFjxgzGjRuHUnngSc3d7cSyo5Hu7Y24Gi29y1VBegyjQtCPDEZ9iAY4Mqc+Ko2G4Nh4GkqLaSwrIWbYSJLHhbL9uwrKs5rxLE49pE3GbzOYfTx6BATs3iJDfydnbZ2OvFnbwk/FLWi6nHhpzFziWw41ICTMApV8My5zDAQlSwJze0XvooQgqWFoeYt0re2jks5ZFlFPhymTfUeU3Nw/ERg4nYCAqWg0h54Ikzm9Mbe38dUTD+FxOkmdMp3Jl/4Op8PNz+/kUbqjGUEhcNZlyQyfsb9Vk+jx0P7hRzQ9+yyixYKg1xN0260EXnMNgubQvqSiKPJr7a+8lv0aOS05AOhVei5NuZQkUxIXTbmoX49X5sQp7SjlD2v+QEVnBb4Kb87abGRYpYMGf0AVgkKwMfWyeQMdpswgxFbaTmFbOQjgnxjab/sRRZH/1jTzz9I6XCKM9zXy+tA4wrSHTmh0u+2UV7xIVdXriKIbnS6K1NRHCAyY2m9xnkk4HG3syrkZk2kHKpUfGSPfwNd3VO/rG9q7+HOh1G9jKVLfCKBXYO7s7ARA6S2dX3TpgScz/OPiFGkdfQrhtNL9ziUUdVbwrZcRRAVTm+aT0lGL0s+PcTdcKd88y5x0Mi46B01CAsFWE5c2TkR069ii17HJY8L61oXQ3TrQIcr0M7VFUmlwVGpAbyZOQ4/A7PYJ4OWXX2br1q0IgkBkZCS///3vmThx4n7isugRsZW00/pRPvWPbsG0ohxXowWFQYVxUjjBt40k9E9j8JkdI4vLZwBhSSnA3omKgHAj3gE67BYXrTXmQ77vtwJztCcIDyIp10+S/bhPQ6ptDh4trUVZKX0n5ieXkeiMlV5MmTuAkQ1uKioq0Ov1ZGRk9C677rrrCAkJYdiwYUe1jWXLljFixAgyMjIYO3Ys69evB8BqtZKRkYFGo6GlpaU/wu8//HqsBzqqehdF+kvnm7oOyXNZ3TOOiIKSZva/mW9o/JrcvD9SU/P+SQhWZjDicbtZ8cK/Mbe14hUWybxb/4Ct28nXz+ykdEczGp2SBbePOEBctpeVUbn4ahofeQTRYsF7ztkkrlhO0I03HlJcFkWRNVVruGLFFdz+8+3ktOTgp/Xj9ozb+emSn7h73N34q/xPxmHLnAArK1Zy5YorqeisIMU/hScT72dotRONW6rIUqgiSZsajkp96mQZypw8ir7LwizY8NYa8Qrpn4xgs8vNjbkVPFgiics3RwfzRUbSYcXlzs4ctm1fSGXlq4iih6ioa5gw/jtZXO4jLJZytmcuwmTagVYbztgxn+wnLpdYbFy/uwKnKHJzVDBzBUfva5qec4rDIS3z9PQyUmgGv3wrZzD3IW6PSNF/riGtJZMnQyIQBYEpIefzQKOVNsB34UIUugP9u2Rk+htBEPC77FKaHn+Caxy12BOv4cuK//CEfwhf15VT9srFRNy1Cp1Gtmw5XaktlATmyBS/vcvKS7FGJrJxdz4AERERnH/++RQWFmIw7PVJ9lhddG9vwLy5Hner1IAGAXRD/DGOD0M3JKDfvcRkBh9hiSnAChpLi3uXRQ7xo2BTA7VF7QTHeB/0fb0WGSIgQJQnAK/J4WjCjP0ftMxJRRRF7s4rwGp2oW2yolJ4+L8FN6F4Zbi0QtKcgQ1wkJOYmEhWVlbv70uXLuWOO+5gyZIlR/X+2bNnc8EFFyAIArt27eKyyy6joKAAvV5PVlYWcXFx/RN4f3IQgdlLK93OWA7SXb2bA8cVb++hxMXd1j/xyQx6Nn72ITV5uzH6+ZMw7wJsZg/fPL+T9gYL3gE65t8xgsAIr971RaeT1rfepuXllxEdDpTBQYT//e94n332IffhET2sqVrDa7teo6BN6qYVqAvk2mHXcmnKpRjUci+KUwGnx8mzmc/yfp40IXVe/Hn8fdLfaf9pNd6VTaxLSwBAqY1iwgVDBzJUmUGKrbSD8sYqUMGQoQe3GzxRKqx2luwqp8hiw0up4LnUGBaE+B1yfY/HicezjO2ZKxBFN3p9HOnp/8bPd8wh3yNzbLS3b2VXzi24XCa8vYYycuR/0Wr3Tng32J1clV1Gh8vNvCAfHkyK4NfavfdTewTmrt2NNDbuhJ6Jc4/djcfqQqEfvDLu4I3sFMNkdfLBG89xe+sP7FYZ2GJUoVfp+df0uzA9txgA77NnD3CUMmcy3rNn0/T4E5h/+ZV7H3mI9U1fUU4T3+sCmd+dxZvP38uCmx8h1EeeBDndEEWR2qIOACKHSJkyu3dl0+wfjqhSo9FomDVrFuPHj0ehUFBYWAiAs7Eb86Z6LJmNvU0FlL5ajONCMYwNQ+Unl7afyYQmSF6RzZXlvcsiU/x7BOYOMg7RqM/tdveKyypRSbhvCH7z4k9GyDInmc9ry1lr8qCr7QAEFmZEEWqvA2e3ZM3kGznAER4dYWuy+mW7DTMzjmn9adOmUdHTTOxo8PLaK5J1d3efHhV0BxGYDRopa3BLaxd35lcyzmeveBdE835vFwQN6WlPoVDIE+pnImU7t7Hlq08RBAXzf383eWWtfPlUJl2tNgIijFxwVwZG373XNvayMuru/gu23FwAfBddTOhf/oLS9+BZiKIosqFuAy/seIH8NmnyPlgfzHXDrmNRyiL0Krm661Sh2dnMNd9fQ05LDipBxd3j7ubK1CtxVlVh/ucj2FUKbGoADWPOHYfe+9AWKTJnLl0/V1GrkCqFk4ekUF9f36fb/7WtixtzK+hwuUk2aHlneDyJhkPfy5vNheTl3Y1ILogQHbWUxMQ/o1TKY1NfUd/wNfn59yKKToKCZjM0/VlUqr2T3e1OF5dnl1JlczDSW88rabEoD3F91oYZ5z5Vobb8Nuoe2oQ63EjI7RmDMsFLFpj7gOYuOzf/50fe7HoOBPhfykyw5jA/YT4+DV20VFah9PVFP2rUEbclI9NfaKKj0SYnYy8uxr1jF5elXMZLWS+xImU883d9z2Lzu/zuxZE8efMi4oPkTMLTCXO7HUunA61RhVegmhUrVrBt2zZQqdG5HNzyhz/g5+cHSDdH+lZofjMHe3FH7za0SX54TY5Alxog2xjIAOAbKjWL7GxpxuNxo1AoCU/yA6CpovOQ7/O43YSIvjQJJlLEcCKvHYVCK1+OnG6Y7e38s6QSRD98mzoxoeWiUTFQ9520QsTogQ3wDOGrr77ir3/9K01NTaxYsWKgwzlxDD3+g9aO3kUdFqm5rLPdzmcN7XzW0N7zishr3MENvIo/0vqJCX/Eyyvl5MUrM2jo7mjn+5efBWDK5Ysx+CVQ8XMLLpuN0HgfFtwxEp1RmngQRZH2jz+m6d9PItpsqCMiCH/4XxgnTz7k9jMbM3lhxwvsaNoBSMLy9cOvZ1HyInQqOXnjVOLb0m95ov4J7KKdMGMYT057koyQDJx1dVRdfwOejg52p2QAXai00Yw9Tx5TZA7EXmGis6yFZl0nCoWCuLi4PhOYRVHkzdoW/l5Si1uEswN9eDU9Fm/VwW1aRNFDVfWblJY+gyg6gCBGj3oef/+JfRKPDIiim9LSp6iseh2AqKhrSEm+H0HY+5l0u9z8blcZhd02Ugw6PhqRiPEgn1lHRwcAZsF20H0ZMoIHpbgMssB8wpisTpa8tZUFHZ/irzJjjprCr2ItABclXYRl9XYAjFOmIKjkP7fMwOI1fRr24mIs27ax8MYreDnrZbZ0F9OUvoiQvC+40vYJi9+I4q2lYxkSdvhuszKnDh1NUhM+rxCBN998k8bGRhSCgLqhipTYaPz8/CR/5bxWOtdWE1mjxE4HglqBYXQIXpMjUIfKkw4y+6PWaDH4+mExdWBua8MnKBifQB1KtQJLpwOH1YXmNyVcokeE7SZahE4QYeoFs1CHyKXCpxsej5Ond/yXZnEu4eZ62s1aAo0aJiYEwHeS+ELkqSMwH2um8WDioosu4qKLLuKXX37hgQceYNWqVQMd0omxx1rAube57KETswVyGY43ZkTA12ckMTHX93eEMoMQURT5+c1XsXV1EjtiFEnjz2XZcztx2SAq1Z9zbxmORiedr1zNzdTdfz/dv/wKgO+FFxL6t/tR7lMRsC8FbQU8t+M5NtRukNbX+nLDsBu4PPVyOWP5FMNkN/Holkf5rlyaCJ0bO5cHJz2Ir9YXZ0MDldcsxVlTg2LEWFpVSnB3MWzmbNRa2XtZ5kDMm+qpU7QjArExMWi1fVP56fSI3FtUzYf1bQDcGRPCvQnhh8yCtdkbyMu7m/b2jQBERFxOQ/1Zsrjch7hcXezO/QOtrWsRBCXJyX8jOmp/OzOb28O1u8vZ0WkhSqfmk4wEAjUH1wdVh9ENlb5avCZH9Gn8fYmseJ4Aoijyp0+zqK2vY6nuJwBKJl5NW+ajxPrEMjxoOI2FXwOgGyr7MskMPLr0dADshUVEG8MYFzaOrQ1b2ZE+i3n5X3OhciPPmxZx4csOzk4P4U9zhhAnZzOf8pgaLTg07ZTYC3E1OggICGBoWCBZedvwHTsOS3YTnauqcDVLDZLcahH/GXF4TQpHYZDLiGUOjW9wKBZTB53NjfgEBSMoBPxC9LTWdtPRZCEkdu9Elcfhpu3TQrIbCvAoRYbHpxExNmEAo5fpL/JKnuNj6zgQYLTdn59p5dzhYaiUCqjbKa0UIVd1nUymTZtGaWkpLS0tBAUFDXQ4x88egdnRDaIIgoCvvifr1PfA89UodqDCBQgMTX9mv0wimTOHos3rKd66EbVOz8RFN/LNC9lYu5x4hcH820f0Nmczr99A3V/+grutDYWvL+EPPYTPOfMOus2G7gZe3Pki35Z+i4iIUW1kSfoSlqQvwUtzcDFaZvDyS80vPLTxIZqsTehVei7yvYh7p9+LIAg4GxupvOYanNXV6IYOZffEqxG3vICg0DLtqoN/P2TObNxmB9bdLTQpTADExsb2yXa7XG5u2F3BuvYudAqBZ1NjuCj00I1Cm5pWkl9wHy6XCbU6gPS0JwgKmkVjw9o+iUdGauaXvesmLJYyVCo/hg97kYCA/atd9ojLv7SbCdao+GxkEuHaQ9vq+PbYMEW6Aw54zWdeLMIgbih63HnVgiC8LQjC4JXOTwJfZ9WyKr+Ji3SZGLFC3Flk93R/HBs6FkEQsBVIXqbaIUMGMlQZGWDv99De47E7NmwsANmdZQjDL0WJh2sMm7A63XybXc/sZ9bx1y9zqDdZByzmPchjzvGTnbcDk38OLo+D5ORkbrzxRhTd3UQakkmoHULbx4W4mq0o/bT4XZBIxQwPPrNjZHFZ5oh4B4cA0NWy1+fUrycjuaNxb4ahu9NO8+u7yM3LpVbZhlat5ZxLFpzcYI8Dedw5dppbfua9mko6BH+G6kUa6iX7gnOGhkuCYGuJtGJI+gBGeXrx0ksv8dJLLx2wvKSkBFEUAdixYwcOh4PAwMCTHV7fotyTGyOyLSePDoujt7mf5iA3XFNYB0Bw8FwMhriTFOSJIY87fYul08TPb70GwPgLF/Pze9VYTA4iU/yIniqgUisR3W6aX3iR6htvxN3WhmHSRBK+WXZQcdnsMPPCjhdY8NUCvin9BqVCydXpV/P9xd9zW8Ztsrh8itHp6OT+9fdz+8+302RtYmTwSD5d8CmTvCYhCAKOqioqr16Cs7IKbXoa/OVpSrOkbPWUSWeh7qOs1IFGHnf6FktmI7hF2r0ki4OIiBP/09baHFywo5h17V0EqlV8mZF0SHHZ5eomP/+v5Oy+HZfLRGDgdCZM+J6goFknHIfMXlpaVrNt+0VYLGUYjSmMH/fVIcXlNW1dBKiVfDoykXjD4ccNp1O6dlax/3WNOtyIISOkbw+ijzmRDObPgWWCIKwCHhNF8dCGi6chHo/I0z8WAXBjaAk0AsMuJrs5G4CRwSMBcJSWAqBNSR6QOGVk9kUTG4ug0eCsq8NjsZARnAFAdtlKaJEM5C/y2s2/ui8EwO0R+XhrFV/sqOGaSbHcOiOJAOOANbE4o8ec40EURVatWkVx4w4QYFjSGC6+cj7Oqi4iy2NIDk0Di1Rq4zM7BsOYEASlAnFt0UCHLnOKoDNIFQ4O295JKC9/yWuy2yRNuFrzW2n/rIg2q4n12gIA5p4zF6PxlKiOkMedY8BubyI3925W8RAAt0RG85f6LaiVAmNi/cHaDg4zaLxBf+iMG5mDc+WVV7J27VpaWlqIiorioYce4vrrr6egoIApU6YcsP4XX3zBe++9h1qtRq/X88knn5wejf56uOuj7dRRQYBBui4R7G4UzTY8ARpQKtCINkaRCUBK8oMDGeqxIo87fcj6/72HtdNEZOowincEY26zEZbgw3m3jWDj5vW4WlqovftuLJs2gyAQdOcdBN1yC4Jy/xt7t8fNVyVf8eLOF2mzSaXp8+Lmcdeou4j2iR6IQ5M5AURRZHXVah7d8ihN1ia0Si13jrqTxWmLUSqUVFCBLS+Pqptuxt3Sgm7oUAKeeYXPX9iF254DwNjzzhvgo+hT5HGnjxBFEfPWBkREmt1SBnN4ePgJbXN3l4XFu8ppcDhJMmj5cEQCsfqDi5RdXfnszv09FksZCoWWpKR7iYq8+rQ6/w80ouimrPx5KipeBiA4aA7p6U+hUu0/wWh1e7g2p5y1PZMCn2ckkuZ1ZOukQwnMvufFD/peSMedwSyK4gpgAlAGrBcE4U5BEPrUckMQhHMEQSgUBKFEEIR7D/K6IAjCCz2v7xIE4aQZ+m0sbaWm3Uqkn55Ik+SzTNLZVHVKXa1T/FMQPR7cndLYrDrVM0ZkTgsElQplTzM3d2cnKf5SU4oqtwU6KgEIMOUxTCjreYcHAIfLw39/LWfav9fwQ27DyQ4bODljDgzucedYcLvdfPPNN2zYsAEBAe+OIYxNHEv7/wppfm0XBocRq8uMbZiHsLvHYhwfhqAcnM0CZAYvap10ceu02fZZJl0MObuddHxbSuu7edgtdlYb83DiZtiwYYwePSj/bQ5AHneOjaLih9ntjqROiCZEo8LP7EYUYUSUH3qNEjqkayT8Yg5nnCtzCD7++GPq6+txOp3U1NRw/fWSn3BFRQWLFi06YP177rmH3NxcsrKy2LRpE1OnTj3ZIfc9Hk/vj034AdBmkSazHF1ONDtaEWxSRvMsYTVKPPj7T0KnCzvpoR4v8rjTdzRXVbB79U8olEpQzaSz2UZglBcL7sxAo1Ohqqig/OJFWDZtRhkYSMxbbxJ8++0HiMtZTVlcueJKHtr0EG22NjKCM3j/3Pd5avpTsrh8ClJvruf3a37PH9b+gSZrEyOCR/DZ+Z9xzdBrUCqkz15dWETl1Utwt7RgmDSRqLfeYfXnNZhbMwEHUenDCUs6fZr7yeNO3+GsNeNutdHt5cLutGM0GvH29j7u7a1v72LhzhIaHE4m+hr5dnTyQcVlURSpqf2I7ZkX92bUjhv7NdFRS2RxuQ9xONrIyrquR1xWkJjwZ4YPf+UAcbnb7WZpj7gcpFbxxahDi8s2m43Ozk4yMzOprKzEZJImJrSqvYl9qhADuuTBn5xxQoOGKIoeQRB+BtzAv4HfC4LwF1EUvzrRwATJJO1lYA5QA2wTBOEbURTz9lntXCC55zEBeLXnud/ZWt4KwEXDfBG2m0ClB99oOuwdAPjr/PF0S/5wCqPxgAsVGZmBwtPdDcC939zGkInnAGDCjRPYY4hwrXIlf3LdxmzFToYJFbziXogTFePi/JmeEjwwgdO/Yw4M/nHnaPF4PHzzzTdkZ2ejUqmIVo4iQjSiWl6K1S2CSkGtqpRNBV+x4PJ7Bm0XWpnBj9vlAqDb1LHf8iCVQNCOBswOD26FyLqwEtraOgkKCuL8888/pS505XHn6Ght/YWmphWsEf4PgKvCA8ksbAdgfHyPh9y+ArPMYVEqlZhMJjIyMsjKyjrsusuXLz+mbVutViZNmoTT6UShOMXGf5dULeFSaHEd5DbGo1ciGtUgilzOhwAkJvzfSQ2xL5DHnRNHFEXWvf8moughIHIyrbVqjH5aFtw+Eq1ehWnFCgKefgaX04l+zBgin3kGdej+pcdNliaezXyW5WXS/1ioIZQ/j/0z8+LmnVLnMRkJl8fFR/kf8VLWS1hdVoxqI3eNvovLUi7rFZYBOr76Gv8XX8TjcuF97jlEPPEEW7+rpraoBbdD6iMwfuElA3UY/YY87vQN1lxJJ+qOVkA5hIWFHfd48X1zBzfnVuIQRS4K8eO5tBi0BzlvO52dFBTcR1Pz9wBERFxBSvIDKJW64z8QmQMwdWaTk3M7dns9anUAw4Y+R0DAgRVk7U4XV+8qY3unhSC1is9HJZJqPHTmslarxWKx8O233+63vFpowUYcOtR4zz41JjOPW2DuKZ9IRZrl2grcBhQCdwiCMF0UxT+cYGzjgRJRFMt69vc/YCGw7wC0EHhPlAzmNguC4CcIQrgoivUnuO8jUtMuXeCm9/jq4BUMgkCnQ8pY9tX64mnqAEBxAjNWMjInyh7/xT0ntj0Cs9+WAl7UFveud19wIE82SyfEdIUkAvzsGcMUVS5OVJwzNIwXrhyFZoDEyJMw5sAgH3eOBlEU+eGHH8jOzkatVnP5nIvxfN2KQS+CW0SfEYzvOXFsenEFbtGJ6jTxjpMZGIo2Sz6E27/9kumLr8Pd7USd2cAULxU4PChC9GwILKaivAaDwcAVV1zRZ120TwbyuHN0eDxOCov+jgsVO4WJIMKV4QH8fV01ACOj/KQVzY3Ss8+JlYqeCURHR1NdXd0v29br9UcUrQctTun626M6+I2aJ1zygB+irEHjtuHvPxlf31MrAU4ed/qGiuwdVO7aiUqjx2waiVqvZP7tIzD6qml6/nlaX30NAfC79BLCHngAQbM3U8ztcfNxwce8uPNFLC4LGoWGpcOWcv2w6zHsaTQpc0qxrWEbj299nKJ2yQZuTuwc7h1/LyGGvZMKottN0zPP0PbmWwiA/+LFhP71Xkp2tpC5shKPIwfRbSY4Jo64kafWuHIk5HGn79gjMNsCgXLw66kePlY+rm/lTwXVeIDrIoN4ODkSxUGE6s6u3eTk3IHNVo1S6UVq6sOEhZ5//AcgcwCiKFJd/TYlpf9GFJ34+Ixi+LAX0ekOvJ5ttDu5PLuUgm4bkVo1n2Ykkmg4vNAvCAIq1YHSrOjyoEONQ+HCMHzgkvyOhSMKzIIgfAtcKYqi+Tcv/RnIEUXR/ZvlNwqCUNAHsUUC+15Z13Dg7NXB1okEDhiABEG4CbgJIDQ0lLVr1x5252az+bDrtDTbAcgvreQ8wG7pZtPatYhuScxb98s6vDodBAN2q/WI+zveOE4WchyDK4ZjjcNeWIjCYERhNLCnxUCG92QCvUbzqvlVAHyCr4XmpwCoM6SBVHGKJe0q/mVQEO3fxcb1v5xQHEfDAI45MMjHnaOhsrKS8vJyBEFgojEd7ZfNCAiY3SKN6W7EsAbIaqC9Qyq92ZWdTUWbqc/j6AsGQxyDIYbBHIfLLf07CijY+c46AkoFQpwCblGk0OaiTJ9LQ3kDSqWStLQ0du/e3S9xnCjyuHP4dY6ER1yPKFZRyDQsopIY3JRv2UR+tdTosbU8j7UtBURX5ZAIVDW2UfabfQ6G7/i+Mfj6+tLV1TUgcbjd7gHbN0ilmmvXrh0UnwmA2dTO2hWfgUqH3tnOBMAlqPnTcKmC4vUCJV1OgWtTXHwXpaESmOaWsoBMHdP77Bjkcefg486xjjnQ///voihS+NVH0i/KsQgKPRHjPeQWbMb33nfRZWYiCgKtF1xA46xZFG7c2PveKnsV/2v7H9UO6dCH64dzsf/FBJmC2Lpha5/HOmj+z07TONpd7Xzd/jU7LDsACFAGcGnApQxjGHlb88jr0TYFqxXft95Gm5ODqFDQcuGFNE6dwo6vfqFitYjoseF2bALAJ30k69at67MYD0V/fCbyuHPk9U4EdTfENilxq0UKGqReXG1tbb37PdoYVoha3keaSF2EjTm1JfxSV3LAeh7xV0TxA8AFxCJ6bqYg35uC/MPv43T9f++POETRjEd8C5B6rQnMxtx1GZs3FyLNweylQVTwKEaaUBKBm/vsJqq3Nu/3hT4UKpWKIUOGANL9vM1mI907HlqhO0xg3S/9P+bAiX8mR5PBfB5gAMwAgiB8AtwmimJWz+8KwOs3RvB94Xh/sDoC8TjWkRaK4uvA6wBjx44VZ8yYcdidr127lsOtkyuW8EtNIe2+Q6AatC4TM6ZNI/CrQGrNtQwbN4woVRCFf/0rKrv9sNs6kThOFnIcgyuGY42j6L77cbe17bfMmr+BctcmGKcAUeRT66dcp1IS6XJTa5auLdQ4qdYmcOvC4SgPYSjfD3+PgRpzYJCPO0eiuLi494QwxzCGmAZfUAjU61Rsr7Nw/qQMolKlUvWObevpqqkkbUgKyeP373Z7Kn7HT+cYBnMcyrpKqn/MZFLchagLpOoGu5+WX6o6sSZV0tTYgEqlYvHixcTFxfVbHH2APO4cJ6LoZtPmf2G1QnXgUmiDC2LCmRI3ipYfVyIIsOic6ejUSlizEcogJmEIMb/Z52D4ju8bQ35+/gl5Jp4IXV1dA7ZvAJ1Ox6hRowbFZwKw9qt3mLHtrv2W6UUrIflvsdOTSJdnNgDfW/2pVOtQ42Qcm4gIv4y0tBv6Lg553DnYOsc85kD//7/X5O9mR2M9gkKHUpvBuAXxjJkRQs0dd2DJzETh5UXks8/S5Hb1xmFxWnhx54t8VPURHtFDmDGM+8bfx8yYmf0WJwyOse90jMPmsvFu7ru8uftNrC4rWqWW64dfz7VDr0Wn2j+b0F5cTM1df8BRVobS15fI55+nyWZl1NAJfPHv7YgeJ35BuTSabESnD2fh0htOikVKP30m8rjTj5i31NNBCV7pIfioGqEGMjIyGDly5FHH8FxFA++XSz2P/pUUyY3RB2auut02Cov+QX39ZwBERlxJSsoDKBRHVyV4uv2/91ccHR3b2Z17P3Z7AyqVD+lpTxAcPPeg28jqtHBnThnNDhcjvfV8NCKRQM3RG0asWLHigOqywDZprEo+ZyTDU06O//KJfiZHU+v+23/y8wDffX4PBvZTrvaUPZwgNcC+RiNRQN1xrNMvzEqVymmW7W7B4x0BHhc05eGvlT74Vlsrgl4PSiWizYbocJyMsGRkDooy4MABaXglXLC1p1mOIODvdhPukhoyveeWBs5pqRE8dvGhxeV+YqDGHBjk487h6Ojo4MsvvwRgrCeRmFZfVIE6Qm4bSVOQAQ/gsO1NSlD32BQ47faBCFfmNMBW2kFYcRjTwi5FbVNjUwo0J/mT6yVQ55tDU2c1Op2OJUuW9Km43E/I485x0tT8I1ZrBXpdDJn2UABmBfhQ027F7RGJ8NVL4jKAU8poRi4xlzkW1AeWlgoOM5er1pKq2JsXFDdWauQ3SfwVP7WOpKR7TlqIx4k87vQTW5d9AYBCk0F0WggZE7ypWrIEy+bNKIOCiH3/PbzO2tv0cmv9Vi7+5mI+yP8AgCXpS1i2cFm/i8syfY9H9PBN6Tcs+GpBr9fy3Ni5fHPhN9w68tYDxOWOr7+m/NLLcJSVoU1OIu7TTzBOnIDLJrL8pWysXU5C40WaKzaAIDD96utPdf9tedzpRxyVki6vjfOhs7PHOtXX93Bv2Y9nKxp4vLwBAXguNfqg4rLVWk1m5mXU13+GQqElLe0JUlMfPmpxWebIiKKb8oqX2bHzKuz2Bnx8RjF+3PJDiss/tpi4aGcJzQ4XZ/l78UVG0jGJy8ABFhmCCBGiP2gVaBOO/js00PRVZ9D+MGXdBiQLghAP1AJXAFf9Zp1vkHyB/odUXmE6Wf48aeE+ZET7kVXdQU7wGEZ21UHxjyT6JbK7dTd5rXmMChmFKiAAV3MzzsZGNNGnhjG3zOmHKiAQB6UHLM+L3nuNMbvbggKoFQMpEaPw0ir5z9VjUZxccflo6S8j6EE97hwKURT56quvsFqtRLsDGemMxTAqBL8LE1FoVai1krjjsLl639MrMNtsAxKzzKmJKIp0FzdjWdeAvaQDPQbsbgtlHhMlHUE4Osrp9M/DrbWi8GiIU0+iboeTqChxsI4lx4I87hyEhgap909o1DUUldkQgAwfA/k1kvVOiM8+NzzOnvFGdXgvOhmZ/TjM9+UD9xwAUsK82WnvBgRm8SNDUv6OWu13cuLrX+Rx5xhpra2mfOc2QIV30HhmnB9C9eLFOCorUcfEEPPmG733ZHaPnYc3P8wnhZ8AkBaQxkOTHyItMG0Aj0DmeNlSv4Wntz9Nfls+AKkBqdw99m7Gh48/YF2PzUbDww9j+lyajPBduJCwvz+IwmDA1u2kYo2I3WQhIMKAy7oMj9vF0OmzCU1IOqnHNEDI485xskdg1sT4YN8pJfHodEd3zfNMRQP/7hGXn0+L4bKwgAPWaWvbSM7uO3G5OtDrYhg+/GW8vdP7LH4ZsFpryM37EybTdgBiY24mIeGPKBTqg67/Vk0zfyuuxQNcFubPU0Oi0RxHA+XfCsw+ogEBAcPwYIQB6oF1PPRVpAct0zyhDYqiC7gD+AHIBz4VRTFXEIRbBEG4pWe175CM6EuA/yKZ0Z80Hjw/HYUAr9UlSguyPyYjWCp/yGrKAkCbkgJIHrgyMgOFMuDAExTAt+P3DgG3t0tiwFvucwB46tKRqJSDdjDr8zEHTo1x52DsysqmsrISnahmunso/guTCLh8CAqtdKLyDpAubDpb9orJWqMXANauzgM3KCPzG0RRxFrYRsRmgfY3C7CXdOASnBQ7s1he/R/qlA1YNI10BGbhVllROo34tWbQWuzGbnWdDuIyyOPOATid7bS2rgMUdHnPxSVCnF6DQamg2y5NaBn3zeBQ9YjNbrmq60hUVFSg1+vJyMjoXXbdddcREhLCsGHDjmlb27ZtQ6lU8vnnnwNgtVrJyMhAo9HQ0tLSl2H3D4cQmBtVkZSIUmeJ1FEBmNwC8WIJ0yPGERq64GRG2J/I484xsuO7lQAoNanMuCiRlttvwFFZiTYtjbiPPuwVlzMbM3ms/jE+KfwElaDitozb+HD+h7K4fApS2FbI7T/fzg0/3kB+Wz4hhhAemfoInyz45KDisq2ggIpLL8X0+RcIWi3hjzxM+OOPoTAYsFtdfPN8FnYT+IcZSMpopjY/B72PL9MWXzcARzcgyOPOceA2O3C12hA0CtRhRpxOJwBq9cGFyX15bh9x+YWDiMtSk7l3ycpeisvVQWDgDMaN+1oWl/uYhoZlbNk6H5NpOxpNCBkZ75KU9JeDistuUeTvJbXc1yMu3x0XxvOpMcclLgMolcr9vitRnkAAvCaeWo2xjzaD+VpBENYBWT2/98ug81tEUfwOaZDZd9lr+/wsArefjFgOxugYf26alsgb61zUqYKIaCkio0uqKNnasBWnx4k2dQjdGzZgKyjE++yzBypUmTMc1UEsMgojoFKqZmZBl5kgjwezqOMz93QWZkRwzrABHcwGZMyBwT/u/BabxcoPy6WbqQmkELV0FLrfeDT5hUpNIjoaLb3LfIOlD7+zpekkRSpzKiK6PVhzWuhaV4OzvhsjShxuG8WdOyjs3IrTY0cUBGqseTgDpfJ0rTUY784UBFGJ1qBi/PnxA3wUR4087hwjzc0/IYouAgLOoswhjTNpRum5V2DuqaAAQC291muVIXNYEhMT9/PjW7p0KXfccQdLliw56m243W7uuece5s2b17tMr9eTlZV1KljXSKi0IChA9Oy3+JPgO8EsoFMrWOk2gWDkat0mUpIfHaBAjwt53OlDPG43ub+sASA2fQI8cieOigq0aWnEvv0WSj8/XB4Xr2W/xn9z/otH9JAakMrDUx5mSMCQAY5e5lipMFXwStYrfF/xPQBGtZHrh13P4vTF6FX6A9YX3W7a3nmHpueeB6cTTVwckc89iy41FQCH1cXyF7NprupCbYSZiyP57F9PAzD7ulsx+Jw6ZepHQB53+gFnQzcA6nAvBKVw1ALzf6ubeby8AQWSuHzJb8Rlj8dOYeE/qKv/FJAyahMT/4QgKA+yNZnjQRQt7M79I42N3wAQHDyXtNRHUasP7nvc6XJza24lP7d1ohLgmdSDZ5wfK8HBwdTVSY4wYR5f1JFeaKIGrifH8XA0AvNa4B7gMaT2lCrgCUEQNgA7gDNanfjLvCHUdVh5Zff5PKx+m/B1r5CQEEdZZwXra9YzuueEZd2VPcCRypzJKAMC9/tdFAReOl8BgoACgf9rtoAA77rnMiwxlicWjRigSAF5zDlqRI/I+rd/wOK2EYIfk2+Yhzba54D1/EKNwP4Cs0+I5CPf2Sz/OWUOxG120L2lAfOWejydUrapwltNU4SdbZs+otPULK2n0WGLTMCjM4AoYjCFYrANQeix+Bs3Px69l2bAjuMYWIs87hwzHaZMAIICZ7DRLt1IReulz9vikDzfDftmMO/xXj7FBOa4e1f0y3YrHp9/TOtPmzaNioqKY3rPiy++yKJFi9i2bdsxvW9wIYB/HLTtYwMaks5W5SiglciobnKFcIZQwjUj70SpPGV8KNcijzt9ysYv1uF2dKJQ+jJk0wc4ysvRDhlCzFtvovTzo6arhnt/vZfs5mwEBOb4zOGJ855ArTxyhqHM4KHeXM9ru15jWcky3KIbtULN5UMu54bhNxCoDzzoe5x1ddTd+1csW7cC4HflFYTefTcKg3ResnY5+LZHXPYK0BI2ycb6j1/FabOSPGEyQyZNPeh2T0HWIo87/YKrVaoUVQVJkxtHIzB/2tDGAyW1ADydGn2AuOxwtLIr51ZMpkzJbzn1ccLCLuiP8M9YWlt/xSM+SGNjOwqFnpSUB4gIv+yQXuulFhtLc8opttjxVyn577A4pvr3jQgcGBhIXW0dCBDi8cVrwqmVvQxHITCLojgLQBCEBGDMPo8HgD3/ASdt1muwoVAIPH3ZSP7svoLCop8Y0lXB+LZoylTwVclXnDXpQRAELJu34LFYek9iMjInk982+euaNZrGAGnSY6o7jGChkibRj51RV/P6krF7GzINAPKYc/SYVleS1VQAAkyfM+Og4jKAf6g07rQ3dON2e1AqFXszmJsbT1q8MoMbURRx1pgxb6rDkt0MbunfTBWix2tKJMbRoRRt+AWfqlBMpmac/iHYQ6JAoUBw2DA0eTCoUnu35xdqYNj0yIE6nGNCHneOj85O6Tzi45NBV6skKPsopfOHSildmDvd+2Sd7hGYHaeWwHyqUltby1dffcXq1atPcYEZCBqyn8AsznqQgs+7ACgJlCZM709OwmiMG4jojgt53OlbXA432T+uBiBcMCAU7UCbnETM22+h8vfnp8qfeHDDg5idZkIMITx+1uN0F3TL4vIpRL25njd3v8mXxV/i9DhRCkoWJS/i5hE3E+51cCFG9Hjo+Oxzmp58Eo/ZjDIwkPBHHsZ7xozedcztNr55Pov2Bgs+wXoW3pXB8refoX73LvQ+vsy+7taTdIT9jzzu9B+9AnOPNeGRmkGubDbxx4IqAB5KiuDK8P0nR7q7S8nOvgGrrQqtNowRw1/Fx2dAk8BOK1yubkpKH6e29iMAfHxGMjT9aQyGQ1derm3r5ObcSkwuN6lGHe8OjydW33eT2mq1WppT93jhbfRCn3Fgk8fBzlE3+evpHloGfLZnmSAIccBYYHSfR3YKoVYqeO53E/jfssdI2LmUm+s28Gl0DGur11I+6k70I0Zgzc6me+NG2SZDZkBQ7evBrFRSc9N5iDuzEQS4uX4XACsT7+fV352NepD4LstjzuGxFbWTvzoLs8aGv5cvaZMOfcGh81LjF2qgo9FCc2UXYQm++ARJN+SmpiZcTieqo/AHkzk98VhdWLKa6N7agLNeKu9DAF1aAF5TItAm+u13kawNDsMS58Kjl3y81R3N6Jrq0Biv3m+7Uy5JQnkKNaUAedw5FtxuC93dJQiCGm/vNDobpax2H5UkMHv1eMDvscoAwBgkPZsbTmqsJ8qxZhoPFv7whz/wxBNPoFSeBmW0wSlQJJXBYwxms3ocLeYtqLRuzAHezPN1MDfqQK/VUwF53OkbctbWYu8uByA2bxuqkBCiX38d/Hx4ZvszvJ37NgCzY2bz0OSH8NX6srZg7QBGLHO01JnreCPnDb4q+QqXx4WAwLlx53L7qNuJ9Yk95PsclZXUP/Bgb9ay19mzCX/oIVSBe4W8jkYL3zyfRVebjcBII+f/PoPmyjzqt28CQWD+nXdj9Dt4mfypjDzu9D3uVisAqiBJYFar1dhsNhwOB3r9/pYtmzvM3JxXgVuEP8aGcnN0yH6vt7dvYVfOrbhcJry9hzFyxH/RavdfR+b4aW/fSn7+PVhtVQiCGjifMaMfQ6E4uDwqiiKvVjfzcGkdHuDcIF9eTIvBS9W311dWi5SAEeUJwHtaFArNqXf9dtQC88EQRbECqAA+74tgTmUEQeDKCy+gTPwjCdlPsaizi898jdy58hHeOGs6ZGfT+cOPssAsMyDs2+RPN2Uqb+SuQxBgareDEU4rZXFXsmTJTQMY4dEhjzkSostD+9cl1ChaARg+eiSKIzQUiEzxo6PRQm1RO2EJvqh1OgIiomirq6GlspywpJSTEbrMIEH0iNjLTVgyG7HmtCA6pSxThUGFYUwoXhPDUQXufzHscDgoLS2lpqkDUe+F4HSgbahCbe4gffo8ynb59a7rH24kdtjBy1RPNeRx5+A4HK2AiFYbgkKhxeaRvkP6nklK4x6BuccqAwC/HiGgo+pkhnrGsn37dq644goAWlpa+O6771CpVFx44YUDG9jxELTXH1cc+Tte/HEV4I01yg8vpYd/Dx01cLH1A/K4c2zYLU62Lc9C9JhQusFfoSL69f/Q6afh7p9uYlvDNpSCkv8b839cnX71ETMLZQYH1V3VvJnzJstKluES9wrLN424iST/pEO+T3S7aXv3PZpfeAHRZkMZEEDYA3/D+5xz9vvs64o7+P61HGzdTkLjfVhwx0icdhPfvfgUAJMWXUnsiIz+PsxBgzzunBjuLslSTukrZbTuscbYY5WxhzKLnWtzyrF7RK6JCOQv8WH7vV5f/xX5BX9FFJ0EBZ3NsKHPolTKVfB9gdttobT0aapr3gVEvLzSSU9/ksztDYcUlztdbv6QX8V3LSZAmhC4Oz4MRT+cR5rqJIeaGHUIxokRfb79k8EJCcwyB5Jw4d9w0MhtOR+y3NtArSOTpQ1DeEEQ6Fy5ktB779lv1lRG5mSg8PJCBATgb16x1Dj+hwKRP7e3YE+YQ8LvXhroEGWOAfPGOtxtNuoMHeCBhISEI74ncog/ub/WUVvUwZhzpGVhSSm01dVQX1okC8xnCM4mC5YdTViymnB32HuXa5P8MI4PQ58eiPCbrGNRFMnJyWHVqlV0dnYCoG5rRNtci+DxoFCqmHr5VVTk7sLTY6sx5ZJE+Qb+NMfpbAdArfIDwNgjLHe7JUF5TwZzp3WfGyu/GOlZFpj7lJdeks7hd9xxx37Ly8vLe39eunQpCxYsODXFZZA8mHvYaBTZVGkEAdzRRv6RHEeoVq7COZPJ31iPtUuyUAkydxP1/PNUhyq5fcWV1HfXE6gL5KnpTzE2bOwARypzNBS2FfLm7jf5oeIHPKIHhaBgfsJ8bhp+Ewl+h7/mtWZlUf/QP7Hn5wPgc8H5hP71r6j8989CLthcz5r3C/C4RWKHBTL3hqEIuPj8yUewdprwjopl4qLL++0YZU4/RIc00S70ZJ0eTGDuEgUW7yqj3eXm7EAfHk2J6r1eFkWRysrXKC2TJjiio68jOeleuZlfH9HWtoH8gvux2aoRBCWxsbcSH3c7CoUGOHhlXa7Zyg27yym3OvBRKXghNZZzgvun2afVYqW1sw2VqCTxrGEotKfm5y4LzH2NIKC54DmCbG1c1/grL/v70R63jC2hQ5jYUMDyR15h6j//QpDXKdOAROYUp9PmZNVnP5MGlPhGUJDyAwgeLursJjF0NFzxLijloeBUQRRFzFvqERExiZKdQWTkkX1uI1P8QYC6og7sVhdavYqwpBTyfllNY2lxf4ctM4C4OuxYc5qxZDXjrDX3Llf6aTGMCsE4NvSAbOU9VFdXs3LlSmprpQYkRqOR88+Zx4qH7+tdJ3XqdLwDAzH4aDC321FrlcSkyxOppzsul+R/q1RJVinePWWCJpckMEf5S9+pqjYLoihKN1BeIaDSgbUdbJ2gO7hvvMzBufLKK1m7di0tLS1ERUXx0EMPcf3111NQUMCUKVMGOrz+xdICgNXHlzez7YgocIUbOCvMl6vCT7xzu8ypi8cjsmtVJaKrHoDYsRPIjoc/fX813c5uRgSN4NmZzxJikMvLBzOiKJLZmMmrja+S920eACpBxYLEBdww/AbifQ/tiwrgam+n6emnMX3+hfTeiHDCHnxwP69lkCq4tnxTRubKSgBGzIxiyiVJIIh88/RTNJYV4xsSSuzZ81EoTk2BR2Zg8PRUbO2xNdBqJb3HZpO8me0eD89gpMxqZ6iXjtfSY1H2isseiosfobrmHUAgJfkBoqOvOenHcDridHZSUvIYdfWfAuDllUZa6mP4+Aw/7Pv+V9/KvUU12DwiQ710vDksnrg+9Fv+Le0lUl+keEUoflOj+m0//Y2sKvUHShVc9i7Xf30ba1rXkaeFgikdTPwCglYvZ7p2JHMzYrhyfAzj4vzlLC+ZfmF3rYmPt1bxzc4aHlv5NQA545Q49E1EOl382XcEXP4haIwDG6jMMeGsMeNuteH0EvC4POh0usN2J96DwUdDZIoftYUdlO5oIn1KBOGJUtZybWFef4ctc5JxmexYc1qw7mrGUdXVu1zQKtEPD8I4OgRNnC+C4uDnn5aWFtasWUNubi4gCcuzZ8/GZDIxZOgwVqo1uJ1SKeC0q5YCezvCpE4Kl89rZwBKpXTucLslvzjfHoG5wyndYPkZNAQYNbR1O2jstBPmqwNBgIBEaMqF5gKIPjU9cweKjz/++KDLKyoqeOaZZw773nfeeacfIjp5uEpXoQLKvRSsrZgKgG+SL6+kx/ZLmarMqUNFdhNdHU5wSjfnlVMieOrn23GLbubFzePhKQ+jU+kGOEqZQ+HyuFhdtZp3895lV7PUF0av0rMoeRFL0pccsnnfHkS3m47Pv6D5mWdwm0ygVhN47bUE3XIzCsP+tgJ2i5Of382nPLsFQSFw1mXJDJ8hCTlr3/svpds3ozUauejef5BTXNo/Byxz2iL2CMxCT+apr6+U6drR0QHAA8W15KMiTKPm/eEJvf69Ho+DvPx7aGz8BkFQMzT9aUJDT83eD4ON5uafKCz8O3ZHI4KgIT7+DmJjbkKhOPS9s9nl5r7iGj5tkCr1rgwP4NHkqF4LuP7AbXVS39oIAmRMGI1Ce+rKtKdu5IMdpRr1Rf/hsZX/x+WNP/FdcjOXhmoIbOzkvMJ1fCbO4qudtSQGG7lsbDTzR4QT5S9768icGM1ddr7fXc9n22vIqZV8gmZW7yCxsw6nl4ovM2oRRIFHfDLwWvQeyJ2zTzkc9VIGqhBngJK9s+NHQ8r4MGoLOyja2kD6lAhC4hPRGo10NNTTXl+Lf/iRM6FlBi/OZgu2vDasea04Kjt7lwtqBbrUAPTDg9CnBSCoD52R09bWxrp169i1axeiKKJUKpk0aRJnnXUWWq2WtWvXIigUGHz96Gppwi80HKOfP26XB2uP91z61FPTM0zm2FCrpRsnl1M61+zJ6iix2HrXiQ8y0tbtoKzZLAnMABGjJIG5docsMB8GpVKJyWQiIyODrKysw667fPnyY9q21Wpl0qRJOJ3OI/r3DwZETznu3R+hAt7ovhKPR4E7VM/rk5IJ1sjXMWc6OZ9nIopaRE8bCPB89Zu4tR5uHH4jd4y6A4Uw+L/jZyJmh5kvi7/ko4KPqDVLVVK+Wl8m6yZz3zn34afzO+I2ujdvpvHxJ7AXFABgmDSRsAceQHsQ67jm6i5Wvr6bzmYrGr2KeTcMJWaoVG214/tvyFyxDIVSxcI/3U9gZDTIArPMsSL2pFr0zHnuEZhNJhOf1LfxXl0rakTeGR5PhE4DgNttJSfnNlrbfkGpNDJi+KsEBJzmFUknAZutnqLif9Lc/CMAvj6jSEt7HKPx0N7tANldFm7NraTMakevEHgkJYqrwvu/KrPomx10CVYMCi2pZ5/aPSVkgbk/UShIOO857ltzHw9WfctzM13c/z+4rnw1UVddygeFZkqbu3ns+wIe+76AMbH+LBgRzrnDwvfeiMnIHIG2bgc/5TXwbXY9G0tb8PSc23z1ai4dFsQlv65EBN6Z5sauVnJb4FjGzH9LyiSTOeXY45vrFegDJWCx7FN+fgQSRwXzy8dF1BZ10NVmwztAR3zGWAo2rKNsxzbGzJcF5lMJ0SPiqOnCltuKNa8VV7N174sqBfoh/uhHBKNLDTiij1dbWxvr168nKysLj8eDQqFg9OjRnHXWWfj5+R1s7wAMnz0PgMqcVjwukYAII0FRXn10hDKDGY0mCAC7oxGPx0WaUbpuyTXbesekpGAvMivbyavvZHKStD6RoyHrA6jNHKjQTwmio6Oprq7ul23r9fojitaDAVEUqa39CL+2h9DaXbTrfPmycQqiANfPTGSKv/dAhygzwFgra6hrUoBgwSN4sKvd2DQe/jbhb1yeKvvnDkZqzbV8lP8RXxR/QbdTsnqL8Y5hcfpiFiYuZOuGrUcUl+3l5TQ9+RTm1asBUIWHE3r3n/E+99yDXg/nb6xn3ceFuJ0egqK9OOem4fgGSzZOu37+gTXvvA7A3JvvJHroiD48WpkzCUGjhG5XrxfznuvnnE4LTxdJ5/NrsZLhIyUVulzdZO+6kY6OLajVAWSMfOuItg0yh0cU3VTXvEdZ2bO43d0olUYSE/6PqKirD+tl7RHh1aomHi2rxymKpBl1vDY0jiHG/tfkHHVmsnbvAiUMSx+GUnVqW/PIAvNJ4KKZj1K1XsMbfEFWooeMUhuXffs3bnv5U1ZXOvgmu46f8xvJrGwns7Kdh77NY1ikD7NTQ/GzuJnmEVEcooxZ5sxDFEWKGs0sL3PwUv5GdlS194rKaqXAzORgzh8ZwTlDfOl64FpaWtuoCoFVIxScHzaZW+a+JovLpzAKnTRsqxwCarUap9NJd3c3Xl5HFvW0BjUJo4Ip3tZI9upqpl6STMLocT0C81bGzL+wn6OXOVHc3U7sxe3YCtuxFbXj6d7bOETQqdCnBaBLD0CX4n9U5VX19fVs2LCB3NzcXlFw5MiRTJ8+nYCAg/uaetxuLKYOAJInTAYg62epaVva5MOXssqcPqhU3uj1cVitFZi7C4j2GoqPSkGr00Wjw0WYVs3YOH8+2V7N5rJWbjirJ6Mscoz0LAvMMofB5eoiv+A+mpq+Y1ijJEK9Jc4HBOJTAvj7yJiBDVBmULD7yffxKCegdZRiByxaD4+c9QgXJF4w0KHJ7IMoimyu38zHBR+zrmYdHlES4MaGjuXq9KuZHjUd5VH4Hbva22l59VXaP/oYXC4Eg4Ggm24kYOlSFLoDhSCHzcWvnxZTsFHy506bEs60y1NQ9Xjk5v26hp/+KzVJnbHkRoZOn91XhyxzBrKnuZ/H3mMV5ueHXaniVV0gNo/IVeEBzGroAKRzXFb29ZhMmWg0IYwe9f4Rs2tlDk9nZw4FhffT1SXZ+wUHzyUl+UF0usPfmzTanTyBkezSOgCuiwziwcQIdP1oibEH0eWh7n+7KFFIY9T4GZP6fZ/9jSwwnyTunPIgtS4z785aybByNx1bavG+fyLzrvkb/8/eeYdHVeX//3Wn9/TeSQIECL03AUFQVOxd17K7uruubvtt87vr9uq6vbhF3VURFFEUpEgJRekESEggvU56JtP7vb8/JgaQFmoo9/U857mTO7ecO8mcnPM+7/P5zL/3AdwhWF/exsqDLWyt7KC02UFpc2SJ819LNjA1N663xJMZJ4fSuNZotfvYXtPJJ1VdfFLdRXPPp05FG2qlwLRBcdw8MoX5w5OJ1quh/H18v/w/OlcHAYGX5yoYnzSWH8/9ixwb9Qrn02RsgUYnGRkZ1NTUUFNTw8iR/XNcjJmXSeXuNsq2Whl/YzbZo8chKBQ0lR/C63KiN8mOsMsJKSwRaHYSUyXQXrafQKPzaLBjIon69MPi0A2LQ5tjQehHZ0iSJGpra/n444+pro4sAVUoFIwcOZLp06eTkJBw2vObyg8RDgaJSUkjJjmVlmo7LVV2NHoVw6bJ4TGuJaKjxuL11mHv2YvFPIKxZiNFNidbbE7uSY5lSm5kWeHO2m7CooRSIUDScFDpobsaHFawyH8zMsfT07OHsvL/h9fbgFbUEd9pQ0RgmX0KSrWCxXeMlvsyMnhLD9HUEIRUKI0tIdMNaXGZsrh8GeEKuFhRvYIlh5dQ56gDQKVQcWPOjTw87GGGxw3v13XCLhfdr7xK9yuvIHo8IAhE330XCc88g+oUfZbWWjsfvVyGo8OLUq1g5n2Dj+ujHNm+jTV//T1IEtPv/xzjFi467+eVubb5dLWg5A8BkJSUxMd5I+lWaxlh0vGL/HR2tNYQDDrYf+BRHI4DaLUpjB3zOgZD9gDW/MomGHRQU/siTU1vACJabQpDBv+IhIS5Zzz3/fYevnOkERtqYlRKfj80kwUJURe/0r041tdT0lVFWC0SFxNLfHz8Jbv3xUIWmC8RCkHBz2f8km9LYd6uWMf9m0XqtwgMMTyDavtfMV7/PItG3cii0Wn4gmG2V3ex4XAbH+5vpNPl5/0DVt4/EJlVSY/RMzEnlnFZMYzNjGFwkjkyaJO5KpAkiZpON3vrbeyrt7GrrpuaDvdxx8QZNRREizw0eyTT8xMwfepUrNsGH/0QsWEvtesSQVSxdoyAbsJ4/nT9X1HLMZeveLT50Qg6FcEmFznXZVJTU0NZWVm/BeaETDPpQ2NoOmyjdEsz42/MJqtwNHUH9lG+tYixN95ycR9A5rRIkkSo3YO/qgdfVQ/+GjuSP0wcCgI4QSmgzYlCNzgG3dBYVAn6fgstfr+fgwcPsmvXLjo6OgBQq9WMGzeOKVOm9MWKOxOHij4CYPDkSKKt4nWRTOwjrktDo5e7FdcS0dGTaGldTnvHWjIyPscN8RaKbE7Wdtq5JzmW9BgDGbF6Gru9HLLaGZkeHYn9P2gWVKyGynUw7tEBfgqZy4Vw2EdNzYs0NL4MSJhMBQxxjUcp/Z4tUiEtxPGDG4eSGqUf6KrKXAZ0/OmPOM2RVTTtZiuZQGKMPGF1OXC4+zBvH3mblTUr8YQiiWATDYncM/ge7hx8J/H6/okoos+HbfGbdP3zn4R7E6UZZ84g8RvfQDd06MnPCYvsXVPP7lV1SKJEXLqJeY8PIy716Eq/sq2bWPO33yNJIlPuup9Jt919fg8sIwMojJFxdtgRyUmyyRumIjkTVTjEL1Is6JQKJMnbJy7rdBmMHfM6en36QFb7ikWSRFpallNV/WuCwW4EQUlG+hPk5DyLSmU87bk9wRDfr2xmeVskkV8hQf47YVhfbOxLgb/eQc/mBso0TQCkZ2ZcsntfTOSR4CVErVTz2+t+yw8VWg5Xr2Bok4Lig6mM1xxGWHI/pI2HGd9AN/hGZg9NZPbQRK6P6iRj+Hg+qe7ik6outtd00WTz0mRrZvm+SEIEk1bFmMxoRqZHMSI1ihFpUaTH9F90kBk4JEmizeGntNlOqdXOwSY7+xps9HiCxx1n1CiZmBPL1Nx4pubFUZBsYcuWzcwakRJJKFCzGbb9Hmo2AbD/cAp6u4A1Fiofmso/5v0ZvUoekF0NKDRKTJOScW5uIqVUiVKp5PDhw7S1tZGUlNSva4ydn0XTYRsH1jdSeF0aI2bPo+7APko3rWPMgpsv8hPIHIskSoQ6PPhr7fhrHfhr7Ii9yfI+RRWvp0vvZtDsEWhzo88YT/mzdHV1sXv3boqLi/H7e2N4m0xMmDCBCRMmYDD0f1VMyO+jYucnAIyYPY/2ege1BzpRqhSMmnN1dIxk+k9i4nyOVPyInp6deDy1zI9P4/uVzWzqduINi+iVCmbmJ/DGzgY+LGmNCMwAQxZEBOYja2SBWQaAHvteysu/g8dTiyAoycr8Iuakxwn+OZII8pXgAsZmx/DY5OyBrajMZYHvyBGcWz/BNeNOAOYMnYKj7GOUKtlIMVB4gh5W165mWcUySrtK+/ZPSJ7A/UPvZ1bGLNSK/v1+xEAA+zvv0PmPlwi1tQGgHzeOxK9/DcP48ac8z9bqZuP/DtNaE0k+O3peJpNvHYRSfXR1177V7/fFXJ50+71MueuBs35WGZmToYqPjLVDXV5a/AG+fSQSd3lyzSE08SrCKTGI0h9xOCrR6dIZN3YxOp08KXYuOJylHDnyIxyOYgCioyYweMiPMJtOPvF0LEXdDr5+uJEWfxC9QsHzealkVZReUnE57A7SveQwlYoWvEKApKSkU+S8ufKQBeZLjEqh4mczf8EfnoXM51ZgqpZ4L288t6TVomreA0segPghMO0ZKLwnkiQn0UxeoplHpmQTFiXKWxx98Zr31tto7vGytbKTrZWdffex6FSMSIuiIMXC4CQTeYlmBieZMOvkjtdA4QmEqGp3UdnmoqLdSXmLk0PNdrrcgROOTTBrGZcZE3GpZ8UwbZG5+wABAABJREFUMj0K9WeXvkthKFsB2/4A1n2RXRoTH/hGkV9SS0gBO78whd8v+Bsa5aVrMGUuPpa5mXjLu9C1exkWl02Ju5r169fzwAMP9GtiKX1oDKn50Vgre9i9qo7Jt01GZ7bQUV9Le62cNftiIoVEAlYXgXon/lo7gTo7oid03DEKsxpdbjTavEhRRes4XFTE8GH9z2IcCAQoKyujuLiY+vr6vv0ZGRlMnDiRgoICVKqz7wLYKg8TCvjJGD6SqMQk3n0h0vYUzkrDYJHbmWsNlcpMUtJCWlqW0dT0OoMH/4AxZgPFTg/vtdu4PyWORaPTeGNnAyv2N/Pt+UMiOSXyI8khqSmCoBfU8gToZ6mrq6OgoIAhQ4b0JeR7/PHHWblyJYmJiZSWlp7+AkBRURGLFi0iJycHgDvuuIMf/vCHeL1epkyZQllZGVardUCXZAaDNqqqX8BqXQpIGI35DCv4DT5tAS9/8Hu+6+/gsJjBJ4qxrLlrlJyTRAaA1qVv4DEkISnUhC1e5hUs4B0+JujzDHTVrikkSaKsq4x3Kt9hVc2qPreyWWPm1txbuTP/TvJj8vt9PdHnQ79xI9U/fJ5QezsA2oICEr/+NYwzZpyyjxsOi+z/qIHdK+sIh0SM0VrmPlpA+tCjuSQkSWL7sjfZvmwxANc99Djjb7njXB9dRuYE+gTmTh/fOdJETyjMaCHEcGstTU0WJOn3QCVabTJjx7wmi8vnQCDQTU3tH2huXgxIaDQJ5Od9j6SkW884BrYHQ/yk2sobLd0AjLcY+FNBFoMMWooqL0Hle5FEie6lR/DbPBQb6kCE6dOn09XVdekqcRGRBeYBQCEo+MYtv2J1j5HMny9m6ForLz4ynEevn0ni7leh8wis+Aqs/zE5cTNhVDbEZAOgVAiMSIu4lD83NbKvzeFjX72NUqu9N3ZzRLT8pDoSr/dYUqJ05CeZyYkzkB1vJDvOSFacgYxYw4kCpsxZExYlrD1eajvd1He5qevyUNvpprLdSZPNiySdeE6UXs3wVAsj0qIYnmphbGbM6R3ozjYofo3JO14Cf6TzhSEOx/jH+WfFYeb/KZI4qfrx2Xz30b+gEOTf69WGoFYS99AwOv55kBFdKRzR11NZWcnOnTuZPHnymc8XBKbfk89bv9hNyaYmhs9IZdj0Wexb/T4H1q9GM1jOYHyhCDv8+OudBBocBBqcBJqdEDq+IVBaNGhyotDmRKHNsaBKNJzTChRJkrBarezbt4/S0tI+t7JarWb48OFMnDiR1NRz78xKkkRH+UEACmfPo2pPOy3VdvRmNeMX5pzzdWWubDLSH6Gl5R2amt8gPf0RHkuPp7i8gZcaO7gvOZbxWZH/aU02Lztqu5iaGw+WFEgZDS37oWINDL99oB/jsiQ3N7dPXAZ49NFHefrpp3nkkUf6fY0ZM2awcuXK4/bp9Xr2799Pdnb2Barp2SNJYZqtS6mu/h2hUA+CoCIz8wsMyvkqVV6Jh/YeYXHV/wB4KXQz376pgJz40y95lbk2CPv9dK94j4Amkjg0IzkZbe9KHL/He7pTZS4Qnd5OVtWs4r2q96jqqerbPzZxLHcNvot5WfPQqU5MuncqRI8H25KldL38MpbOTkKAdsgQ4r/0Jcw3zENQnHos09HgZONr5XQ2uoBIsuGpd+ahMx41VYnhMBtf/ScH1q1CEBTMe/JpCmffcPYPLiNzGj7Nk/OR18O6LjApFfwiI4H3EQkE/0a3rQawMGb0a+j1cqLas0EUAzQ1v0Ft7Z8IhRy94TAeJSfnq6hUZ84ftKbDzncqGmkLhNAIAt/KSeYrmYkoB2DFv2NDA/4KG4f1LbhFH0lJSQwfPpwtW7Zc8rpcDGSBeQC58eEfcNAmoPjbG8xfXMW31O08cOdvWOBwwCd/gvYystzL4I/vQN71MPZzkH8DqI//h51k0XFjYQo3FkYyZB4bduFIm5OKNicVbS6qO1y02H202H189s9XqRBIidKRFq0nLUYf2UbrSY3Wkxqtwx2UkCTpmg+74fKHaHWLfFLVSVOPF2uPl2abF6s9sm3u8RIMn0RFBlQKgUGJRvITzeQnmRiabGZ4aj/DmYRDEadX8f/g8CoQQ+gAorNgytPsSBnCn1b+kK/9sx2VCK475nDbt/56oR9f5jJCnWgg4alRCP8pYYa9gA2aEtatXUdCXDy5+WfOQpyQYWbYtFTKtlnZ9lYlU+9YwL41H1C2eQPD0mSx8FwIuwIEml0Em1y9W2dfHLZjUSXo0WRa+gRlZazuvNrWzs5OSktLKSkpOW72Oy0tjbFjxzJ8+HB0J8mufrbUH9iHt7MdQ1Q0WaMm8vYv9wMweVEuWjn28jWL2TyclOTbaWmNxMG7bfhf+Hm1lcNuH5ttTmbFWrh9TBp/3ljF0t2NEYEZYNR9EYF532uXv8D8o4uU8OVH9rM6fObMmdTV1V2culxCenr2UFH5M5zOEgBiYqYyZPDzGI15fGJz8VhpLXMa15Dna6RJiqcpbjovTsse2ErLXDZsXP130t1B6pMiEw46owatIfLa73YNZNWuaoLhIJubNrOiagVbm7cSlsIAxGhjWDhoIXcNvovc6Nyzumaouxvb629gW7y4L8ZyMDOTnO98G9Ps2acVlgO+EHs+rGP/+kYkUcIcp2P2Q0PJKIg97jif28XKP/ya+oPFKFUqFj7zbfInTT27h5eR6QeaVCNeJfwyXgQUfHdQCqNSYjkydD9RUTUoFWYk6ZsYjYMGuqpXDJIk0dVVRGXVz/F4agGIjZ1Bft73MZkGn/H8jkCQ5yqbeb+9B4i4ll8cmslg4/mPi84Fb3kXzg0NBIQQ+9X1EIC5c+eiOE1bd6UhjwgHmMKvPkdtix3eXcmzrzv4efA7bJq+kO899iHR7Ydp/fBXJHduh6r1kaKNgoJboPAuyJkJihNjcQqCQHKUjuQoHXOHHY3JGhYlGro9VLY5qe/yUNfljpROD1a7tze2sxdqT15X7eY1JFq0JJp1JJq1xJu0xBg1xBrUxBg1xBgiJdqgxqJTY9QqUV3GruiwKOHyh3D5Q/R4AtjcQbo9AXo8AbrdAXo8QTpcfjocftqdPtqdfjyBSGeKrTtPed1ki46sOAPZccZel7iBvEQT2fHGs3OJSxI07oKSt+HQu+DpDYEiKGHozRzQjCN/4Rf504G/sHHZV3h+cRizDxTTJjL+p386j09G5kpBHa8n6atj0H4QRVtJD6WqRt58YzG3T7yRYfPGIqhPH6t30q2DqN7XTkNZN4PGJJA/cQqVOz+h7cBuWCjHYj4VkigRtvkItrgJtLgJtrgJWl2Ee/wnHCtolWgyzRFBOdOMJsOMwnD+oYrsdjuHDh2ipKSElpaWvv1Go5HCwkLGjh1LYmLied/nWHa8+xYA4xbexs73G3HZ/CRkmhk6NeWC3kfmymNQ7jdpa19NR8daEtrf54n0KfyipoVf1LQwI8bMvRMy+HtRNSsPtvDNeUPIjDPAyHvho+eheiP0NAz0I1y1bN++nVGjRpGamsoLL7zA8OHDB6wuLlcF1TW/o7NzPQBabTL5+c+RmHAjgiDwTms3XzvciDLk4/nqlwB4Q3svj440XvMGB5kIjoCDPWtfIx1Q5g8HP2j1Ksxx8SAI2DvaCAWDqNRySMALgSiJ7Gvbx6raVayrW4cj4ABAJaiYnTGb2/JuY0bajLNOIh6or6fr1VexL38XqXe1lW7USBK+/GX2iCIjZ88+5bmSJFG1t52Pl1Xh7vGDACPnpDPp1kFodMdLG7ZWK+/9+id0W5vQW6JY9M3nSBs67Cw/BRmZ/qEwqHml0EirXsFwjYZHU+NpbPwniYmHEEUFGvVXCYflhH79xeU6QmXVL+nu3gqAwZBDft5zxMXNOmOfQJQklrZ285MqK7ZQGINSwfcHpfBYWvyAuJYBAk1Out88DEB5vg1fg4+srCzy8s5sDLuSkAXmAUYQBHJ++kuavUFYs5bnlob5Oau4xfoJz459ltihz5I86RU48CYcWAKtB2H/65FiSoIhN0VKzswTnM2fRakQyIk3nnSJoS8Yjrhxj3HlNvf4aO7x0Obw02Jz4wuJNHZ7aezu//Izg0aJWafCpFVh0qkxqJXoNUp0agU6tRKdWolerUSjUqBWCCgVClRKAbVSQNX7+tgmoKIhSOP2OiQiAnEoLBEURUJhiVBYJChKBEMivlAYb0DEFwzjC4bx9haXL4TTF+oTls8WnVqBWSWRnRTd5/ZOjT7q+E6L0WPQnMfXKhyEhu1wZDWUrwT7MYPuuPzIgHzMg0jmFDZ++Ae+9cHtCA0t/GhxmBgX6CeMJ/PPf0dQnl0SMJkrF4VBTey9Q7hpZDyh5Ss4HGxg+c7VtO+qZ8y4MRgnJqNOOvmyYoNFw8z7BvPRy2VsW1bF9Y8sonLnJ3QeOoDHYcdguUiuvSsESZJQ+sFX1UOo3UOwzU2w1UOwxY306WTTMQgaBepUE5p0M5o0E+p0E6o4PcIFihna2dlJeXk55eXlWK3Wvv1arZaCggIKCwvJzs5GeRG+/03lpTQfPoRSqyM6dRK7/1OJUqXg+s8VyDFRZdBpkxmc/xyHj/wfR478gPvHvMurWjUHnV7ebOnmodRILOZ39jXx0pZqfn57IRhiIxPmpcug+A0Qpgz0Y5yas3QaXy6MHTuW+vp6TCYTH374IbfddhuVlZcw0GAvPp+Vmto/0tKyHBBRKg1kZDxOVuYXUamMBEWJn1Y188+mDgB+WfU2yeEODkuZLHz4W3RWH7zkdZa5PFlcvpis+sg4JGP4OBr3QSgootbqiElOwdZipbu5kcRs2SF4PlTYKlhVs4rVtatpcR+dxB4cM5hFuYtYOGghcfr+54WASJ/KW7yf7ldfxfnRR3waN9A0axZxTzyOfvz4iGhUVHTKa3Rb3WxZWkHzERsAiVlmZt43hKQcywnHNh46yPsv/hKfy0l8Rha3ffuHRCX2Lxm2jMy50OoP8kZixEz2I6+Wro5VVFf/BhA4cng6BoPAILlpOiM+fyu1NX/E2rIMEFGpzORkP0N6+kMoFGfO91Lu8vLdiiZ22t0AXBdj5rdD0snUay9yzU9NqMtL56uHkAIi3mFa9tZF8mjMmzfvqptAlwXmywBBpSLthRdoRoA1a/jhW/CLO2382P9jMjWZJLh/ReGUr8CUr0BHRWQwdvAtsNXC3lciRW2EvDkw+EbInQ2Ws4uzqVMrGZRgYlCC6aTvFxUVMWHKdNqdftodETdvl8tPtyfY5/i19bqAezwBnL0CricQxhMI08aJzr5zpuzQBbuUSRsRv6MNamIMGmKNEQd2bK8jO86kIcHc69q2aDFrVWzevJlZsy7g0ip3F9QWwZE1ULkOfD1H3zOnQuGdUHg3JI8EQaDGXsMvP/oiOzp3kNEu8fzbAhYXGCZMIOOlf6DojUMnc21hKIjjnu8+ygevL6e4tpTNlNK6s5spHw9GF29CNzwOfUEsmgwzwjFO+sETk6k72Enlnnb2r/eSPWocdQf2smflu8x84NGBe6BLiBQUCXV7CXX6CHV5CXV4CbZ7CLZ7yPEq6dxUcsI5CrMGdYoRdYoRTe9WlWC4YGIygCiKNDc3U1FRwd69eyk6ZtClVqvJy8ujsLCQ/Px81BfRrRVJjBNJihNfMIZtb9UBMPm2QcSlnfx/hsy1R2rqfdh6dtLW9gFVZV/m+1n/4emKLn5RY2VhQhRfmjWI5cVNvL2niWeuzyfJooOxj0T6NHteRjF27EA/wlWHxXJUdLnpppv48pe/TGdn5yVL6uf1NlJf/xLWlneQpACCoCIt9UGyc55Gq4nUocUf4Iul9ex2uFEJ8PmAl0Utr4MA3dN+yNSMWIrk3LMygCfo4bWy13jeEREmjRnJsK8LvycIQHxGNrYWK52N9bLAfA60Blv5x4F/sLZu7XFxlVOMKdyUcxMLBy08q4R9nyL6/ThWfYjt9dfxlZVFdqrVRN1yC3GPP4a2H+49nyvI7g9rKS1qRhQldEY1k28bRMG01BMmuSVRZNeKZXy89HUkSWTQ2AksfOb/odHL4yOZi8vv61rxCzCnNUimt4Qy1XMAZGf/P7Z/0kFnZwMpKfKqv1MRCjmpr/8nDY0vI4q+vj5DTs4zaDSxZzzfHQ7zu9o2/tnUTkiCeLWKH+WlcmdSzICKuGF3kM5XDiG6gmhyo1gX3I0oiowbN4709KvP0S4LzJcJEZH5tzQLwOo1/Gipkv8tMrFqcAMPfPgAN2TdwFdGf4VBCYNh9vdh1veg5UDE6Xrkw4izufyDSAGIHwyDZkVK9nTQnb8T0ahVkaNV9TvJiihKeIJhnL4gLl8Ihy+E/xg3sTcQxhcS8QZCBMMSwbBIWJQI9rqRQ6JESBSPu6a12UpqWkQ8VykUKBVCxPHc53xWoFIIGDRKtL3uaP2nTmmNApNWHXFU61SYNKqBcd4F3FC/PSIq1xRB62fEq/jBMOTGiDM9fSL0xuRpcbXw0sGXeK/qPcJSmEm1Gr62IozS65fFZRkAFEoFiz53Fxn7BrFq1SqOYMWqsjG1ewgZm724NjchaBRosiLxfzWZZjSpJmbePwRrlZ22Wgd5Y2cAe9m36j1GzplPdPKV3xGSRAnRFSRk8xG2+Qj1+CPbLh+hTi9hux9OHjqdsEpCnxaFOtGAKtGAOsWAOtmI0nTmGfRzwe12U11dTWVlJVVVVXi9R1eM6HQ6hgwZQkFBAYMGDUKjuTh1+CxVe3bQUHoQrdFEwDUarzNI2pBoRs3JuCT3l7kyEASBoUN+hst1BLe7gvSmLzMl6rdst/v4+uEGXhmRw40jkvmwpJVfrz7Mi/eOjqy+ShkFLQdIafkImD/Qj3FF8pe//AWAp59++rj9ra2tJCUlIQgCu3btQhRF4uLOznV4Lng8tdTV/Y3WthVIUhgQSEq8mUGDvo7BkN133JZuJ18qq6crGCJFq+abUTGYln4Rs8JLfew0pt5w90Wvq8yVw5bmLTgCDmK9KiCEMTka6MLTm+sgKTefyl2f0HjoIMNmnDrEgsxRau21rKtbx9r6tVTaKqF3cZRFY2F+9nwWDlrImMQx55QwPNjSgu3NJfS8/TZhW8RxrIyOJvqee4h58EHUSWcO4xUKhDm4qYm9a+oJeEMgwPCZaUy+dRA604kT616ng9V/+R21+yMJzyfdfg9T73kQxUlCSsrIXEjqvX7eaOlCAXyhuYe6gl8gij5SUu5iUM4XGT78PQ4cOHBcWDuZCKIYoNm6hNraPxMMdgOQkLCAvNxvYTCcOS+QJEms7rTzg8pmmv1BBOBzqXF8b1AK0eqBlTtFX4iuVw8R6vSiTjHSONJPw+pGjEYjc+fOHdC6XSxkgfky4lMnc1t8ArbXXuNz7/Qw4vpcfj/Jyrr6daxvWM/Ng27mqVFPkWHOgNTRkTL7e9DTGMnEXvkR1H8MnRWRsuufICggcThkTISMSZA5KZIc7iLP5CgUQp9DmAu00r6oqItZswovzMUuFQ4rNO6MxFNu2BGZDBCPCc+h1ELmZMibGxGV44+fye/0dvKvg//i7Yq3CYpBFIKC7zSNYuxbxQiiiOWmG0n5xS9QXIAkXjJXB2PHjiU5OZn33nuP9vZ21mr2kxedybhADuZuFf7KHvyVPX3HK6O0zM00UukP4SoVyEybQXtrMUX/+w+3ffv/Bu5BzoAkSUgBEdEdJOwKELYHCDv8hB0BREeAsD3yOtTjg9ApFGQABShjdaji9Kjj9aji9RExOcnA1j2fMGv2qIv2DMFgkMbGRmpra6mpqaG5ufm496Ojo8nPz8fv97No0aKLEv7idIQCATb/798AJOXOo71Rj8GiYe6jwy6oW1vm6kClMjFm9P/Yu+8+3O4yHjf9hkPKZ1nT6eA/zZ18d0EB68vbWV7czP2TMpmQHQszvw1LHySzYTmEfg6qgVvCeLlz//33U1RURGdnJ+np6fz4xz/miSee4PDhw0ybNu2E45ctW8bf//53VCoVer2eJUuWXDQXjyRJ2B37aGx8lfb21YCEIChJTr6N7KwvYzQeTf7lCYv8osbKv5siuSVmxph4JiaWJa+8xF8UWwkKGjIfkHNJyBzPxoaNAOhCkb/h2IzoiNPd6iYUDDNo7AS2vflfavbtRhLF0yaIu1aRJIny7nI2NmxkQ8OG45zKekHPDYNuYH72fCanTD7ruMoAUjiMa8sWet5ehquoCHqNQtphBcQ+9DCWhTeh0J65jZdEiYpdrexYUYPLFlkFmzEslql35BKfbj7pOdaKclb+4Tc4uzrQmczc9PQ3yRkz/qyfQUbmXPhHYwchCe5OisYw/Ce4tF0YGcqQwT9BEATGjh3LgQMHaG1tJRwOX/L+/OWIJIURpU/YvuN5fL4mAKKixpKf9z2iovq3qq3c5eUHlc1s64kkeB1p0vOrIemMtfTPEHkxEX0hOl85RKDRiTJai/buTD7qHVMtWLAAvV4/wDW8OMgC82WGoFSS/Nz30WRm0vbLXzJuQzVLpRm8fWcibzWv4v3q9/mw5kNuyL6Bzw3/HMPiehMVRGfAxC9ESjgIzXsj7tiazdC0C9pKImXPfyLHm5IgdSykjIy4h5JHQlT6RRedr3qcbREBuWU/tBwE6/7j4yhDRPBPHdvrML8uIvqrT2xgau21vFb2Gu9Xv48/HOlc3Zx6A49thPC7HwIQ99STJDzzjNyJljmB1NRUnnzySXbs2EFRURFVPQ1U0cDwUcOYlDESc5eKYLOLYIs74uC1+8nXKgAFMBUypxLuCtH4021o480oLRqUZg0KgwqFQY1Cr0LQqyJbtQJBo0RQK1CoFQhqRaQtUQggcJygIYkSiNLRbVhCCoaRAiJSIIwUjGzFQBhzk4BzSxOiN4ToCyF5Q4jeEGF3ENEVRHQHkYLiKT+DY1EYVChjdKhitL1bXa+orEMVqzsubMhxXOAmMRQK0dLSQm1tLbW1tTQ0NBAOH43nrFQqycrKIj8/n/z8fOLi4hAEgaKiogHpjO5d9R729jZMcWm0NWShUMKNTxViipEntGROjlabwNgxr7F33/3g2sxTahO/4XF+XGVlzJg8nroulz9tqOQH75Wy8qvTUQ25CRKHo20/BMWvw4QnBvoRLlvefPPNk+6vq6vjxRdfPGH/008/fYKr+UIjigHa21fT0PgKTmdkRZYgqElJuZPsrCfR6zOPO36fw80z5Q1UefyoBPhGdjJz1Tq+/K9NLJNeAgEUc3+IEH91Jb2ROX/Ku8oBUMZEQ2sHSo+d2BQj3VY3nY0uknKysCQk4uhop6WqgtTBQwe2wpcJITFEcXsxGxo2sLFh43Exlc1qM7MzZzM/ez6BygBzp5+boy5otdKz7B16li8n1Noa2alSYVkwn5iHHkI/Zky/JrckUcLRKLH057voao7ET41LMzH1zlwyh5189UU4FGLH8qXsfHcpkiiSkj+Em7/2XSzxCef0LDIyZ4szFOat1ojzdpGqCJf2AEq/hbSqZ1HMjqw2zMzMJC4ujq6uLiorKxk69NptnyRJoqNjHdU1LyJJVfh8YDDkkZv7DRLib+hXW9EdDPGb2lb+19yJCESrlHw7J5nPDWASv2PpE5frHSijtcR/fgSLV72Nz+cjLy+PESNGDHQVLxqywHyZEvvwQ6gz0mn42tcJbtzK3UfSuP9nv+Zf4c2sqlnFh7Uf8mHth0xMnsjnhn+O6WnTjy5fUqojjtjMyTDruxD0grU44qJt2BnZutqgYnWkfIo+FpILIWEoJAyObOOHgPHSxOq7ovDaIvGwOw5HnOIdh6G1FFytJx6rtUD6hIiQnDER0seD9uSz75IksbdtL/8t+y+bGzcj9a7bn50xmy9HL0Lzoz/hr6hAUKvpuf9+Cr72tYv4kDJXOkqlkmnTpjFixAi2bNlCcXExh46UcehIGTk5OYybOY6hQyYh2QIEW1yEOrw0720n2OHBqAijVajBLRFwO86/Mp/+rz+NkfizJKHAXlp7+oNUCpQmNQqTGqVZgzJKGxHDLb3bKA3KaC0K7cD8u/N4PDQ2NtLY2EhDQwPNzc3HCcoAycnJ5OTkkJOTQ1ZWFtp+uHsuBbZWKzveXQpAMDgVQakgdYJA8qBrO/mjzJnR6VIZN24pBw8+ySjnKuYrMlkrzeWhgzW8NWEQy/c1cbjVyd+Kqnnm+ny47v/B249C0a8iOQd0JyZsutZQKpXY7XZGjx7N/v37T3vsypUrz+raXq+XKVOmEAwGUZzjBLXP14K1ZRnNzYsJBNoBUKtjSE29j/S0B9Hpjg+v5A2L/KG+jb80tBGWYLBBx5+HZaJ0BHnw3zv5fuhVklU2xLQJKKd8+ZzqJHN10+ZpA0Adn0iwtYOg1UpybjTdVjf1pV0kD4oib/xk9q1+n0NF669pgdnms7GteRtbm7fycfPHOAJH+3EJ+gRmZ8xmTuYcJiZP7HMqF1UVndU9RJ8P18aN9Lz3Hu6t2/qS9qmzMom5+26ibrsNVT/jvUuSRO2BTnavqqWzUQLcmGK0TLxlEEMmJ58ypGFXUwMf/uV3tNdWgyAw/pY7mH7fwyhVFy8vhYzMZ1na2o07LDLRBIrmXyABqdVfQmjW46/sQTc4EgN4/PjxrF27lq1btzJkyJCrLrnbmZAkie7urVTX/A6ns7R3bzzDCr5DcvIiBOHMRpqgKPFfaycv1LbSEwqjFODx1Hi+lZNM7ACHw/iUz4rLCV8oZEf5XmprazEYDCxatOiq/t1fHr8FmZNinjWL7ue+T/qSpfgOHSL4hW/yja89y5fv/oA3Kt7knYp32NW6i12tu0g3pXNH/h0syltEouEzMa3UesiaGikQ6QB0VUdctq0HI7GcWw6CtxtqN0fKsehjGaNOgK5REJN9fDEnw9UY10oUwd0BtroTypTWciiynfw8rSXiBk8Z2bsdBQlDzvgZ2f12Pqj+gHcq3+lbrqZRaLgl9xYeLniYuI0HaP3m/8Pv9aLJyiLt9y+yo739Qj6xzFVMVFQUt9xyCzNnzmTbtm0UFxf3OWgNBgOFhYUMGzaMjMIMhszO4LWfFuFsCSF53kAj+imccgOjZyyIhJ7wRFzEojeE6Aki+sIQDCMGxYj7uLcgSZHyqcH4WGFZKUTCKygEBKVwnAP62G17TwepORkodMo+t7RCp4qIyUY1CpMGQaO4bP5JB4NBWltbsVqtWK1Wmpub6ezsPOG4hIQEsrKyyMnJITs7G6Nx4JdxfRZRDLP6ry8S8vtRagsQlBmMnZ+JP6ZpoKsmc4Wg0yYzbuwSDpV9kwc6/kkb0ewPjeeRQ7U8f3MBX3ttH39YX8GU3DgmFCzCbhlClOMIbP41zP/5QFcfiAyGBqp9ycjIoLGx8aJcW6/Xn1K0lqRTzwKKYpDOro1YrW/R1bWFTxt4ozGfjIzHSE5ahFJ54uqGDV0Ovl/RRL0vgAA8lZHAd3NSONRk55FXdzPTv5l7NUVISg2K2/56dfYrZS4Y2pEjCJYewr1jB/kLHqFsq5UjO1qZeHMOI+fdyL7V71O2ZSPT7nsYg+XamBAVJZEj3UfY2ryVLU1bKOksQZSOrvDKtmQzJ3MOczLnUBhfeE4xlSGSQM+7bx/2FStwrF6D6IosSxfUaszz5hF9z90YJk7s98pKSZSoK+1i98paOhqcAKj0MOXWwQybnoJKffK2QBJF9q1+n61v/pdwMIglIZEFX/46GcOusDCKMlcFi61dAFznewVJCpOZ8QRJwo04mupwFjWiGxwDwLhx49i4cSPNzc3U1NSQm5t7usteNXwqLNfU/gmHoxgAjSaBnOynqaxMJiXlzCsnJEliZYedX9a0UOONrOyeEWPiJ3lpFJgun1ATYWeAzldKCVrdfeJym6+bjRsjIZ5uu+02zOaTGw2vFi5bgVkQhFhgKZAN1AH3SJJ0gqonCEId4ATCQEiSpKsq2FI4IYHsNxfT/rsX6f7vf2l/4XfoPvqIZ376U75095d4p+IdFh9eTJOriT8V/4m/7v8rM9JmcHv+7cxIm3Hy+FmCEInzG58HhXdF9kkS2Jug7RB0HoGOY4q3myhvN5QcOcm1lBGR2ZwM5hSwpEZem5IijmhDXG+JBV10X8K6AUGSwGcHTxd4uiOCuqcLXO3gbAWnFRwtva9bQAye9DJaALUB4vN7Xd69bu/EAojJ6fczhsUwu1p38W7Vu2yo30BAjCQpidXFcs+Qe7h3yL1Edftp+faPadm6FQDLrbeQ/MPnUZqMIAvMF5Rroc2Jiopi4cKFzJkzh4MHD7J3717a29vZuXMnO3fuxGQyMXToUAwFXoymTFoOz8PlXMz2rW+ROrOQ7Bljzum+0qdCs8BZxe0tLSpi2KzLMxO8x+Ohvb2dtrY22trasFqttLe3I34mMalSqSQtLY3MzEwyMjLIyMjAcAUk49z9/nJaKg4jKEyodLMZMTONybflsnmzLDBfSK72dkep1FM44i9ENfyLZ2v+xK+k73IkMIxf2lt4cFo2b3xcx7NvFvPhszOoyn+K8Xu/ATv/AWMehsSBdR/qdDq6urr6wtRcC0iSRFdXF7pjcjpIkoTLfYTW1vdoaVlOMBgZSAuChoSEeaSl3ktMzNSTfkbNvgA/rGpmVYcdgKFGHb8ZnM7EaBNrSlt5dkkx6eFGfqv7N0ggLPhlZFJe5qJypbY7ycZkau212MfmolwMrg0byP7qM5jjdDi7fDSWd5M5PIOc0eOo3b+Xg+vXMPmOeweyyheVVncr263b2W7dzs7WnXT7uvveUylUTEyeyMz0mcxMn0mWJeu87uWvrMSxejX29z8g2HS0H6AbMYKoRYuw3LwQVUxMv68XDolU7m6j+KMGuq2RUBgGi4ax87PokqoYOTv9lOd2NNTx0b/+QkvFYQBGzL6BWY98Hu0V0Le6lrlS250zUevxU+b2YRSCDA+uwWQaSm7uNyFDibOoEX+NHX+DA22mBY1GQ3p6OrW1tWzevPmqF5hPJiyr1bFkZX6e9PRHUCr1VPVj5cSOHhc/rbay1+EBYJBeyw9yU1gQH3VZ9c+CHR46Xy4lbPOjitMR/0QhAZ3IsteXIYoikyZNYvDgwQNdzYvOZSswA98FNkiS9CtBEL7b+/N3TnHsbEmSTrSJXSUIGg1J3/suhimTaf3h8/gOHKT2zruI/8LneeSpp3h42MNsb9nO8srlbGrYRFFTEUVNRZg1ZuZkzGFBzgImpUxCrTjNciFBiMRxjs6AIQuO7pckcFgp3vQuY7KiT3T0ujvA0RwpZ3wQRcThqzWDxgRa09HXGiMoNUeL6tPXao4NgppZXwtb9gAShEMQDhwtIX8k/nTQDX4XBFy9W2dk63ccn1zvTOhje53aWce5tnccaWPy/LvPSSwXJZF9bftYU7eGj+o/6usMCghMS5vGnfl3Mit9FioU2N54g+o//BHJ40FhsZD0/e8RdZUvqRhgrpk2R6/XM2nSJCZOnEhzczNlZWWUlZXR09PDnj17ABCEMnSZ0UhdExCc5Xz4tz/y+At/QWcynfX9BEGAK9SQ9mkSvs7OTjo7O/tEZYfjxLAhgiCQmJhIampqX0lOTkalupz/1Z5Ie10Nn7z1OgAqww0UTM9h5n2D5bbn4nDVtzuCoCAr60li467jh6Xf5/ueh6j3D+Jdk43BKXoqWrx8bel+Hs7KgfGPR3JFfPgteOT9AZ2UTk9Pp6mpiY6Ojkt+b5/Pd5zIeynR6XSkp6fj9TYgSivZuetXuN2Vfe8bjfmkpt5LctIiNJrYk17DHQrz98YO/tbYjicsYlAq+H/ZyXw+PQG1QuCVj2v5ycoydJKPxVF/Ref3RUKjjJfjb18irsh2Z2LyRGrttXwY08DtCQn4K6twb9rI8Bl57Hivhh0rasgoiGXswtuo3b+XPSuXM3LugqvGxdzt62Zv2172tO5hR8sOauw1x72fbExmaupUZqbNZHLqZIzq81sd5a+pwbF6NY7VqwlUVfftVyUnE3XLLUQtuhVt3tnFSg/4QpRts3JgQ2Nf8j5jtJbRczMYPjMNtUZJUVH1Sc8N+nxsf+dN9qx8F0kUMcbEMu8LXyF33KRzf0iZS8kV2e6ciQ87IxOoo6QdqAkzdOgvUCi0oAPTlBScRU041tUT/8QIBEEgLS2NlpYWGhoaqKqqIu8sv0NXApHJ6k3U1v3tM8LyF0hLexCVqn9t0xG3j1/WWFnTGRlzxatVfCsnmQdT4lBfZonG/Q0Oul49hOgJoU43Ef/ocNArefv117HZbCQnJzN37rnFuL/SuJxHvYuAWb2v/wsUcepG6JrAPGsWhlUraf/d7+hZspTOv/0dx4erSfz2t5k2exbT06bT5e3i/er3WVmzkgpbBSuqV7CiegVR2ijmZMzhuvTrzq7TIQgQlYY9egSMmXXi+yH/Ucevs6XXAWwFd1evU7jrqGPYbwdfT6ScI4MAzhCS9bRozBE39bHOakM8WFIiDmxzytHXJ0m8B+BrKDqrQa8/7Gd36262NG1hff16OrxHB6uZ5kwWDlrI7Xm3k2KKxCv07NlD069+ja80EpvIvGAByc99H1WCnKziInPNtTmCIJCenk56ejrz5s2jpaWFI0eOUFxcjNPpxCvaIAaIGYwX+N1vf8vgESNITU0lISGB+Ph4oqOjzzmG5+WAKIq43W5sNhs9PT309PRgs9no7Oykq6sLj8fDxx9/fMJ5KpWKxMREkpKSSEpKIiUlheTk5MsmfvK54nU5eeeXP0UMh1FqRzF06iRmPzT0rJznMmfFNdPumE1DmT3xTf5V+x+ebfBTTgHePAeG7jBFRzoQPCrmPPZ/CGXvQd1W2PUSTP7SgNVXrVaTk5MzIPcuKipizJhzWzFyPng8dXR0rmf/gdU4HPsBcLsjsZUTE28kJfl2LJZTJ+sKihKLW7p4oa6VjkBkQn9hQhQ/zUsjVachFBb5yQflvPxxLSCxImMpSR11kXwfN/9BTjR96bgi25078+9k6ZGlLKl5h1sefAD+8B/af/8HRixeQklRMx0NTo7sbGXI5NFkjRxD/cFiti35Hzd88asDXfVzotPbyb62fexu3c2etj19IfQ+xaAyMDF5IpNTJzM1dSrZluzzmwiWJHxHKnBt3IBjzVr8R46uXFVGRWG+YR6Wm26KhMA4y6TDjk4vJZubKf/Yit8TaRtiUoyMmZfJ4IlJKFWn70fWFO9mw3/+gaOjDQSB0fNvZvp9D6M1XH4hxmROyRXZ7pyJjV0R8XO8tJP09IeJsozqe880Ix33rlb8VT14SzoxjExApVIxffp01q9fz5o1a3jqqaeuOCPKqRDFEO3tH1Lf8BIuV2SFwbkIyzUeP7+ra2V5mw0JMCgVfCkjgS9lJGJSXX6OJc/BDmxvVyAFRXRDYoh9sACFRsmqVauora3FaDRy//33o1ZfG7HhL+e/5iRJkloAJElqEQQh8RTHScA6QRAk4CVJkv55yWo4ACjNZlJ+9COibr6Zlh/8kEBtLU1f/jKGSZNI/Pb/I274cB4b8RiPjXiMGnsNa+vWsrZ2LdX2at6tepd3q95FpVAxPmk8M9JmMCN9xvl1SFTaXodvP5ZehYPgcxx1FB/rMA54ep3IQQj7ex3Jvc7kY6hvaCArszcjuVLd63bWHu9+VuuPd0lrep3SWnPk2EuA1WVlW/M2tjRtYWfLTnxhX997aaY05mfPZ0H2AobGDu377P21tXS8+CLOj9YDoEpKIvmHP8B8/fWXpM4y13abIwhCn+tWEAQmT55MfX091VU1lO4pxxPuIahQcOjQIQ4dOtR3nkqlIj4+ntjYWKKiooiKiiI6OpqoqCjMZjN6vR7lWQ5ELgSiKOLz+fB4PLjdbpxOJy6XC6fT2VccDgc9PT0nJN07FoVCQWJiIvHx8cTFxfUJyjExMVe0sH4yRDHM0ud/iqenA0GZyMh59zHrwWGnTK4jc0G4ptodhULLyNwv826KlS/s381WsgiMUqPd08mmxhB//riOZ279Myx5AD56HnJmQtLwga72VYskiTidpXR0rKOjc/1xTmWl0oAYHsnIkZ8nNnY6itOsghMliVUddn5V00J1b2zEMWYDP8xLZUp0ZNVLu9PH04uL2VXbjVopsHLYJgZXrgW1Ee75X6S/JnOpuCLbnYK4Au4ZfA9vVbzFN6PW8rusdALV1XT96hdMvu2rbHi1nG3LKkkbEsPsR7/I//7f05RsXEfhnBtIybu8Q6+ExBCVtkr2d+znQMcB9rfvp9l1/OpQrVLL6ITRjE8ez8TkiRQmFJ5+dWo/kEIhvMXFONdvIG7VKmqPyRuhMJsxz52L5aYbMU6ejHCW4ogkSTSV2zhY1ERdSWdfLo6UvCjG3JBF9oi4M05edzU1svm1f1O7fy8ACVk5zPvi05f971PmpFyR7c7pECWJ/Q4nIDBc1ULuoL8f977SqMYyP5ued6uwr6xBNySy6mfy5Mns27ePzs5Odu7cybRp0wag9hcOUfTT0rKc+vp/4vU1AKDVJJGZ+QRpafejVPYvfE2D18+LdW283dZNWAK1IPBASizfzE4mUXv5ibOSKGFfW4erN3ygYXwSMbfnISgV7N69m927d6NUKrnvvvuIiro6VtL0B+F0yTwu+s0FYT2QfJK3ngP+K0lS9DHH2iRJOiG4kyAIqZIkWXsbqY+Ar0qStOUkx30R+CJAUlLSuCVLlpy2bi6XC9M5LAW/0Jy2HqEQ+s1bMK1ahcLjQRIEfBMn4r7pJsJJx7fZ1oCVEm8Jh7yHqPPXIR2TccuitJCnzSNfl0+eLo8kVdIJgvMV8XkMUB0kSaIr1EWVv4pKXyVVviq6w93HnZOuSWe4fjiF+kIyNZnHfb4KWw/GdWvRb96CIIpIGg3uefPwzJuLdJolspfDZ9HfesyePXvv5RBD61K2Ob3HXhXtjhiWqFlfR3fzasJ6A9q0YSgsGjweD4FA4DRXiqBSqVCr1X1FqVQeVxQKBQpFJFnfp98NQRDw+/1otVokSTquiKJIOBw+oYRCIUKhEMFgkFCo/+Fw1Go1Op3uuGIwGNDr9QSDwcsiGcPF/tuQRImKD7bgsu4GQU/qhIdIHmu5ov8XyO3O5d3uiBK8iZ8PSELR6kVzoAsQeHTYdr7o3UFqy25cxiz2jX0BUam5JHW6kv6+zxVJciJRBtIhJA4BPce8q0dgJIIwBhiJ2x08bT3CEmxHzXvoaOqNg5RMmPvwMYlgnyH5SHeYvx3wY/dLRGsF/pxexIzml5BQUFL4A7rjxp62zlfS7+VabHfOts2Bc/+dBsQAf2n/C7X+WvI7Nfz4VT+qYBjnjTdSHn0zrpZIhLvs6wWsOzfTdmAPGksUBXc9jEp7Yp96IP62REmkPdROo7+RhkADdd46rGErAen4/pRW0JKtze4bo2VqM1EL5y+yCC4X2vJyNKWH0JaWonC7j9bNbMJfOBLf6NEECobCOTjuQn4Jez10V0oEnL33VIAlE2LzBQxxpxeVXS4XOqUC655P6Dh0ACQJhUZD6vipJBaO7XcCwfPlcmh3+lsHud25uO3OqWiWBL5JFDFSF38V1qMQ5p94kATp2xXoHAI9WSJ1GU5MJhNdXV2UlJSgVCqZOHHiJV8BeSE+C0lyIbEZSdoA2Hv3JiIICxCYitCP9srlcuE1mlmBjk1oCCOgQOI6AtyOn0RBPOM1LgRn+3koApB8QIGhS0ASJDqHSNizJBCgo6Ojz4w1dOhQkpNP9pU4/zpcLM633RlQgfl0CIJwBJjVO8OVAhRJknTa6UpBEH4EuCRJeuF0x40fP176NM7oqSgqKmLWrFlnV+mLQH/qEbbb6fz7P+h+4w0IBkGhwHLTTcQ/+UW0+fknHG/z2fjY+jFbm7ay3bodm//4+PpxujhGJoykML6Q4fHDGR43nOLtxVfM53GxWbNxDXHD4jjUeYiSzhJKOktocbccd4xZbWZiSiS5xvS06SQaTpykDTQ10/Xvf2F/ZzlSMAiCQNQdt5PwzLOok041qXuUy+Gz6G89BEG4LDo+p+Nitjlw5bc7kiix7Jf/oeHge4CKITO+zIInrycYCtDZ2dkXXsJut2O32+np6cHtduPxeAbiEYBILFG9Xo/RaMRsNmMymTCbzceV6Ojo03bqLuffyYXCbffzzi9fp6P2XUBg0p3fYPo9sy95Pc4Gud25etqddZ12vlpWi6vGhfpwZIDy6OA3+U7nOvQeP6GRd6G6/d+XJHzCQH8WF6Me4bAXu2M/tu6P6erehtNZCseYDLTaZBLi55GQMI/o6AkoFEfF/FPVIyhKLGvr5k/1bdR6I6JYmlbN01lJPHRMbMSwKPGvrTX8du0RwqLEpJxYXprUTvSKR0ES4dY/w9hHzvgMV9Lv5Vpvd/rT5sD5/U69IS/f3/p91jesZ0qZyLMfiChE0N37IFsCs3HZ/ORPSGLWA7ks/dF3aK+rJm/CFG795vdPmDS92H9bdr+dqp4qKm2VfdvD3YfxhE7sG2WYMxiVMIrRCaMZnTiavOg8lIrzXwEmhUJ4S0pwb92Ga9s2fCUlkRw7vaizMjFfP5eq2BimPvbYWYe/gEgfsemwjbJPrNTs70AMRa5vjNYyYmYaw6anYrCceaIwGPCz/G9/ouPAHvweN4KgYOTc+Uy9+0EMUdFnXa/z4XJod/pbB7ndufjtzsl4q3YHz9TpGCOUsnLGXSiVJzeGBZqctP/tAIgS1rFhJt4TqcOSJUs4fPgw+fn5PPDAA5c018n5fBYeTz2Nja9gbVmGKHoBMJmGkpX1FIkJN6JQ9C9IQpXHx/d3HuQTQUNIAgVwR1IM38xOJsdwaQX3s/k8Ak1OuhYfJtztQ2FUE/vAUHS50QBUV1ezePFiwuEwM2fOZM6cORelDheT8213LucQGe8DnwN+1btd8dkDBEEwAgpJkpy9r28AfnJJa3kZoIyKIum73yHmwQfofOkl7O+twLFyJY6VKzHfcANxjz+GbtSovkYrRhfDzYNu5uZBNyNJEjX2mr74Xrtbd9Pl62JT4yY2NW7qu0eCKoFVm1eRF51HXkweedF5pJvSL0jH53JFlERa3C1U91RTaaukuqeasq4yauw1SI3HT8yYNWbGJY1jQtIExiePZ0jMkFN+Nr6KCrpfeRX7Bx9AKASCgHn+fOK//CV0Q+QlXwOI3OacBkEhcNf3n2Dpj9toLt/OkW3/xN4e4pZnZpORkUFGRsZJzxNFEa/X2xeqwuv1EgwGCQQCxxVRFPvKpy7llpYWUlNT+xzOn7qdlUolGo3muKJWq9FqtX3OY71ef9WFsLgYtFT18P4fl+Nqfw+Acbc8ckpxWeaicM23OzfER/HRhAIeCJdQK4H6iJ1XK+5Hny3yLd8qVAeXUR/ajzTxCyQmzsdgGJi4yFcKwaCdHvseenp209OzB6ezFEkK9r2vUGiIjppAbOx0YmOnYzIV9HtQ2xkI8bq1k1ebu2gNRK6ZrdfwTGYSdyXHoDmmzW3o8vCttw+wqy6youvJmYP4dl4zyre+GBGXr/tOv8RlmYvCFd3u6FV6Xpz1IqtqV/Gi/kV+p2rja++JsPQNUvL3U531FJW72wBY+Oy3eeP7X6dq93Z2Ll/K5Dvvu+D18Yf9tLhaqHfUH1dqHbW0e9pPek6SIYnhccMZFjeMkDXEfbPuI04fd0HqI4XD+A4fxrNrN56dO/Hs2YPocvW9L6jVGCaMxzh9BqaZM9Dk5iIIAuVFRWctLts7PBzZ0Ur59hZc3f7eG0DmsFgKpqWSMzoepfLMfbFQMEjJhjXsfO9t3LZIm5E1cgyzHn6C+Mzss6qTzGXLFd3unIy6zt3ADFKM8acUlwE06Wai5mdhX11HUomC0Hw/qigtN954I3V1dVRWVrJ7924mTpx46Sp/lkiSRI99D42NL9PR8RGfTlTHxs4gM+MJYmOn97svUer08Mf6dlZ29CChQQnclRTDM1lJDDYOTILj/iCJEs4tkaSNiBLqNBNxDxegio7UubGxkSVLlhAOh5k4cSKzZ1+b46nLWWD+FfCWIAhPAA3A3RBZNgH8W5Kkm4Ak4N3eP2YVsFiSpDUDVN8BR5ORQerPfkbCl75E139epmfZMpzr1uFctw7d8OHEPPAAloU3oTgm7IIgCORG55Ibnct9Q+9DkiTqHHWUdpZGSlcph7sO0xHqYE3d8R+tVqllUNQgsi3ZpJvTI8UU2SYZkq4I8VmURDo8HTS5mmhyNvVt6x31VPdUn9RhoEDB0NihjIgfwYj4EQyPG35Gl4EUDOJcvx7bG4vxfDrDqlQStehW4r74RbS5uRfrEWX6j9zmnAFBELj7/77D2z/7Mc3lxbRW/I8lPwkz66EJ5E84MbQORGIYG41GjEYjCWeZqPJymcm9GgmHRfatqWfne1vwO1YAEuMW3sWsh+4e6Kpda8jtDpCp1/ITXFTOHcYvVVVwyMbf6x6EtBS+0/VvMsuq2K/4OdWxv8VgyCM2diqxMdOIiZmESjXwIWwGinDYh8tVhsNRgsNZgtNZittdxbEOZVBgNg0nOmYScbEziI6egFJ58iTGp6LE6eHfTZ28127DL0auPcSo45nMRBYlxqA6Jo6qJEks2d3IT1eW4QmEiTdp+c1dhcxRlcCbD0TybIx7DGZ97wJ8AjLnyBXf7giCwM2DbmZOxhxWjlrJK4kvc9viejIqD6HvfJEDI79C5e42ipsOoJs7FFbu4+O3XqcHF6MX3IxBbcCgOnlc0KAYxBvy4gl68Ia82P12un3d2Hw2bH4bXd4uWt2ttLpbaXG30OXrOmU9tUotudG55Efnkx+TT350PoNjBxOvj+87pshWdF7ishgI4Dt0CG/xfjx790YEZbv9uGPUWZmYps/AOGM6xokTURj6FxP1ZLjtfqr2tFOxu432OkfffnOcjoKpKQydkoI5tn8iUTgU4lDRenYsX4qzK5IEXR+fyI2f/zLZo8ddUkenzEXnim93jiUYtNHiqgdmkGoedMbjTTPS8VXb8VfY6F58mITPFxIVFcWtt97KW2+9xbp168jOziYx8cyrmC8l4bCX1tYVNDW/1pe4TxA0JCffSmbG45hM/TPHSZLENpuLvze2s7E7EjtHIwjMkHz8YtJosvSXd5L0kN2PbekR/DWRttU0NZWoG3MQ1JEJNKvVyhtvvEEwGGTUqFEsWLDgmm2/LluBWZKkLuCE7GaSJFmBm3pf1wCjPnvMtY46LY3kH/6AuKeexPba6/S8/Ta+Q4doee452n/zG6LuuIOo229DN3jwCecKgkBOVA45UTncknsLEOloLVm/BFOOieqeaqrsVVTZqmjztFHeXU55d/kJ11EpVMTr40nUJxKvjyfBkECCPoEEQwJRmigsWgsWTaSYNWaMauMF+RJKkoQ35MURcESKP7K1++10+bro8HTQ4e04bhsQTx1DNk4X1+fYzo3OZUjMENpK25g3e16/6hNobMT+3gp63n6bUHvExaAwGIi67TZiH/0cmk8TFsoMOHKb0z+UKhV3fv//WPbTH2CtKMPVsYR1/5aoLs7huvuH9GsJpMzA0mV1seHVctpqKgg43wPCjJp3E9c9/LmBrto1h9zuHEUhwJMZidx4VxSPmQ5RtauFvzfPwWhx8HTgLUYe9rJvjAkHVXg8VTQ1/Q9BUGI2FxIdNQ6LZSQWyyh0uvSrrlMvSRJ+fwsudwVuVwVudyVOVzludwWSdHySUkHQYLGMJDp6AjHRE4iKGntOIrwjFGa9pOG3eyvY64hMtgvADXEWPp+ewIwY0wmfc32Xmx+uOMTmiohQdFNhMj+7rZBY62Z488GIuDz+cbjpd5ck5InMybma2h2D2sA9Q+7h7sF3c/iOYtp+/guSig4xvvgv7B/5FUwtybg6lRzK38WoChWH3nqPf5b/h8qMiKNXhQrFa0cdtqIkEpL6n8MBQCkoSTIkkWnJJMuSRbYlm0xLJtmWbNJMaRfUcCNJEsFmK77SUrz79+Pdvx/foUORUHvHoE5NxTBpEoZJEzFOmoQ6JeW87ut1Bqg90Enlnjaaj9j6ImyotEoGjYpn6NQU0gfHnDFp36cE/T5Ki9az54N3cXRE3ObxGVlMvedBmtx+csZc1tEeZM6Bq6ndAei2bUeQwiCAUmk84/GCQiD2nsE0/nYH1DvofusIsfcPZdiwYYwZM4bi4mKWLVvGE088ccnjMZ8Mr7eBpqbXsba8TSgUmUhSq+NIS7uf9LSH0Gr7ZxoKiCLvtvXwUmM7ZW4fAHqFgkdS43gqM4Ej2z+5rMVlSZLwHuykZ0UVoieEwqQm5u7B6HsTNgLU19ezePFi/H4/Q4cO5dZbb72mV9FetgKzzPmjTkwk8ZvfIP7pr+D4cDW2xYvxlZTQ/cordL/yCtqCAqJuuQXLzQtRn2a2TK1Qk6HJYFb+rOP2OwIOanpqaHQ20uhsPM4B3OHt6Jvd7w8KQYFWqUWn1KFRatAqtWhVWjQKDQrh6BfU4XDwz1X/RJIkAmIAf9gfKSF/3+vwZwZbZyJWF0u6KZ00cxoZ5gzSTelkmDPIjc4lRndC7gGKhKLTXi9ks+Fcuxb7ivfxFhf37dfk5hLz4ANE3boIpenM/4hkZC5X1Botd3zved76yfdpr60m4FpK1Z47sVb2cN39Q8gdm3DVCTxXA+GwyIH1jez8oIagt56gewUQZOi067j+8afk35nMZUGmXsv628bw56w4/vBeGb9z3EqOroGFoR2MLPHhvvu39AhNdNs+weHY31c+Ra2OwWIuxGjM7y25GAx5qNWWgXuofiBJEqFQDx5vA6K0k9raErzeBjyeWlzuSsJh10nOUmAyDsFsKcRiLsRsKcRkHIpSeW6DNVGS+NjmYklrNx929ODFAA4PZqWCB1LieCw9nuyTDAR9wTD/2FzN34qqCYRELDoVP71tBLeOSkUofx/e+TyEAzDh83DTC7K4LHPBEQSBgoyxFPxjGd6SEtr/8Ac0e35FyfDPgzmTye1fxx/zAaKtjmklcUQH9ezJ6SQkhOAzOaSUghK9So9BZUCv1mPRWIjRxRCri41stbEkG5NJNiaTYkwhXh9/UVZtSsEggfp6fOWH8ZWX4ysrw1defoI7GUFAm5+HfvQY9KNHY5g0EU16+nnf397hpfZABzX7O2ittveJygqVQPbwOPInJJE9Mh61pv/P7nHY2b92JcVrV+FzRkSr2NR0ptz9AEMmT0dQKGguKjrvusvIXGxstu2YiDhxu4L9m5RSmjRYx4tk7dHgLenEbq4h6pZBLFiwgIaGBtrb21m+fDn33nvvgAiUohigo3M91ualdNu29e23WMaQkf4wiYkLUCj617/oDIR4w9rFy80dtAUin0+iRsXjafE8khZPrDoiQx658I9xwQj1+OlZUYWvPBK2Rzckhpi7BqM0HzVTVVZWsnTpUkKhEMOHD+f2229HeQ5x7K8mZIH5GkCh1RJ9+21E334b3oMH6Vn2Do41a/CXl9NeXk77Cy9gmDQR89y5mGfPRp2a2q/rWjQWRidGElF8Fl/IR4e3g05vJ+2e9uO2n7qKPy3OgBNvyNtXzkjn6d/WKrV97miLNuKQtmgsESd1r4v62K1Bfe7LxD4l1NWFq6gI5/oNuLZtiyRbBAS9HvO8uUTfcQeGSZNkAUfmqkFrMHLXcz9l+S+fp7W6krD3LTzcztp/BckoiGH6PYOJTZEnUi4XGg93s3VpJbYWN+FAJSHvhyCFKZgxm/lPPXvJsrLLyPQHQRB4ZmwWt2TFc9/LO/l615cwajzM8h3E8da32X3LUhaO+io6vPTY9+BwHMThOIDDcZBgsJuu7i10dR+fdF6jSUCnS0enS0GnS0WnTUWnS0WjiUetjkatjkWSLny2clEMEQrZCQbthEI9BII2/P62vhLo3fr8VkIhZ995NbXHX0etjsVozMdkGozROBiTaQhm07CzDndxQv0kib0ODyvbe1jZ0UOz/6gTcjhBnizIZWFCFMZTDJg2HWnnR+8for4r4nK+fUwa37tpKIkmLWz/C6z7ASDBxCfhxl/L4rLMRUdfWEjWf/5Dwt69xL/5Nnurm7EmTUHDHSiURXjC+xh+2MBt0o3oxk3kuptv7jtXQECtUF+y/rokSQhuN96SUgL19QRqqvFXVeOvriZQXx/J1fIZlLGx6IYNQz9qFPrRo9GPGonScv4TaJIoYa3soaGsi7qDnXQ1u/veUygFMobGkDs2kdwxCWgN6rO6dldzI8VrVnKoaD2hQCRWc3LeYCbeehe5EyahuALCKsrIHIvbVUkUke9nk+/Uq6E/S8AMcY8Mo/PlUlyfWBF0Sizzsrj//vv597//zZEjR1i/fj033HDDxar6CXg8tTRbl9LS8g7BYERMVSi0JCUuJD39YSyWkf26jtTbn3i1uZP323sI9M5KFRh1PJmRwO1JMWivgPGGJEq4d7ZgX12HFAgj6JRE3ZiDcWLycf8bSktLWb58OaIoMnbsWG6++eZr2rn8KbLAfI2hHzkS/ciRJP3fc7g2b8bx/ge4iorwbN+BZ/sO2n76M7TDCjDPnoNpzmx0BQXnJDzoVDoyzBlkmE+e+OuzBMUggXDgBDdyIBxAOiaW4L59+xg7diwQEZL73M7HFLXy7Do954IkSQSqqyOi8oaNePfvP5qRWaHAOH06UYtuxTxnDgqjLLLJXJ3ozRbu/sHPWfHCz2goPYigeAe1+XYay2HpT3dROCedCQtz0OrlfzUDhaPTy8fvVFFTHFmyrtZU4OtZBZLE6Pk3M+fRL8rissxlS06ckQ3PzOTb7xzkqYNf52X1b5nqL2P6+/ezqPnPTMwp5N7kiYzKvg5BEJAkCZ+vuS8WsdtTjdtdhcdTTSDQQSDQgcNRfJo7CmzZGoNKZUGp1KNQ6FAqtCiUepQKHYJwoggiISKKAcSwj7DoQxR9iKKfcNhDMGg/hfP45CiVJvT6TFwuHZmZ49DrMzHoszGZBqPRxJ/5Av0kLEnssbv5oKOHVR12Wo4RldN1au5JjuXe5Fhqd25nVnLsSa9R0mTnN2sPs7UyMus/OMnETxeNYNKgOAiH4MNvwe5/Rw6e+yOY9jVZXJa5pBjGjSNz3DjSeno48sZH7Dqowm2ZhTqQQci9ksojh4gq3kvZ3/9JQv5g1BmZaDIz0WRmoEpORhkTgzIq6pz/R4qBAKLDQairm1BHB6HODsKdnYQ6OgharQQamwg2NZHoclF3imuo09LQDh2KrqAA3bBh6IYPQ5WYeMEEcEenl4aybhoOdVFfJlEW3Nf3nkanJGtEHDmjE8gaHofmLPty4VCI6j072L/uQxoPHezbP2jsBCbccidpBcNl443MFYs/0EEunQhAsdODLyyi60dCSwBdbjSx9w6h+83DODc2IvnCxN08iHvuuYfXX3+dTz75hLi4OMaNG3fR6i9JbpqaF9Pa+i52+9Hvvck4hNS0+0hOWoRaHdWva7nDYd5t6+HV5k5KXRGzoADM6w2pNfMkIbUuVwJNTnrerybQEJnw1w+PI3pRLkrLUee2JEls2bKFTZs2ATB16lTmzZt3xTzjxUYe9V+jKDQaLPPmYZk3j7DdjnPTJlwbN+Hatg1/WTn+snI6//pXlNHRGCZORB8biz8zE01OzkX58qgVatQKNUb16cXYbm03IxP6N4t2oQk0NeHZsQPLivep+sEPCXV09L0naDQYpkzGPHsO5uvnoDrLZGYyMlcqGr2B27/zI1b+8TdU79mBGF5Kxog7aWtI48D6Rip2tjJuQTbDZ6SiOotllDLnh9cZYN+6BkqKmggHRZRqiE08QGPpBgAm33k/U+9+QO4MyVz2mLQq/nr/GFYUJPHse9/lb+LPmBCoYMmup3jI9yteaS5gqFHHfcmx3J4UQ5I+Hb3++OXhkiTi87Xg81vx+6z4fFZ8/sg2GOgmGOwhEOwmHHYRDHb3OXguDArU6ihUqqhep3Q0Wk0iWm1Sb0lGq01Eq01GrY5FEASKiorIz5t1AesAHYEgm7qdbOxysLnbiS10NJxYmlbNzQnR3JIYzViLAUVvu1B7kuvUdLj43UcVrDrYAoBZq+KZ6/N5dFo2aqUCvDZY/iRUrgWlBm77OxTedUGfRUbmbFBGRzPsK3czJChSvLqa4o8kfIr7CbhXYDfAJgmG7N9HzkfrOeE/olKJMjoapcWCoNUiaDUo1BoEjQaQkEJhpHAYQiGkYJCw24XociM6nUiB/rkaRa0WfXY26ox0tLl5aPNy0QwahDYn57yS8X0WSZKwt3uxVvXQUtmDtaoHR6fvuGNikg1kDIsla3gcaUNiUKrOXlx3dLRTsukjSjauxW2LtKVqrY6C6bMYs+Bm4jOzL8TjyMgMKKLox4yLAoOSMk+YrTYn8+L7J8gCGEYmICgEut48jOsTK6I3RM5d+SxcuJAPPviADz74ALVazciRF073EMUg3d1baWl9F1Fax5EjEQe2QqEnKelm0lLvxWIZ3a+xgSRJ7La7WdLazYr2HtzhyAqwWLWSB1PieDg1jszLOLbyZ1H6oPutI3j29ebMMmuIWZSLfsTxk/vBYJAVK1ZQWloKwLx585g6dao8njoGWWCWQRkVRfRttxF9222Ifj+eHTtwbtiIa+tWQi0tONetwwLULFmCKiEB/ejR6AoL0Y8sRDdiBEqTaaAf4YIjer34ysrwHizBV1KCd/9+glYrAHogBCjj4jBNn4ZpzvWYpk+Tncoy1ywqjYZbv/E9Nr7yEgc++pD6/UspmL4Ar3cirTUutr1dyb519RGheXoqSrXsmL1Y+FxBij9q4GBREyF/REAaNNqMo20FjaX7USiVzH70SUbfcNMA11RGpv8IgsBtY9IYnx3Dc0tMPGF9npmU8G7x13h2yPN8kDyVH1Vb+VG1lXEWAwvio7gxIYo8g673fAV6fRp6fdpp77Np03qmThtNKOhAFH2ERe9RZ3LYd0JCvU9RKnUoFJESea1FqdSjUkWjUpkQhEvf5rlCYXbb3eywuynqdnDAeXwIsiydhhsTorg1IZoxFsMZB0e1nW7+UVTNsn1NhEUJrUrBo1Ozeeq6XGKMvfEIrcXw1uegpx500XD/m5A19SI9oYzM2aFUKxh/az4j5+VQuqWZ4nXxONrXIgbKOZwaQ8OgYYyITie1sxqpo42wzYbodBLu6iLc1XUON1SiNJtRxsehik9AlZCAKj4eVXw86tQU1OnpqNPT2bZ/P7Nmz77gzxvwhehocNJe76St1oG1qgev43jRW6NXkTE0hoxhsTQ7Krhh4eRzupff46Fi5zbKt2yisaykb39ceiaj5t3IsJlz0BrkcZLM1YNWm4Tf38KC6ABlHiUvNXaclcAMoB8RT/xjw+n6Xxme4nbCdj+j7y/EPcfNxo0beffddxEEgcLCwnOupyiGsNm2097+Ie0dawmFPo3hLhAbM43k5NtJSLgBlap/389Wf5C3W7tZ0tJNtdfft3+CxcijaXHcnBh9RYTB+BQpGMa5pZmsrQo84XZQCpimp2GZnYFCd7xU6nA4WLJkCVarFY1Gw5133smQIUMGqOaXL7LALHMcCq0W03XXYbruukim4sZG3Dt2UPvBB5hq6wh1dOD86COcH30UOUEQ0OTkoBs2DG1eHtr8PLS5uagzMhCugADnkigStLbgr6okUF2Nv7IK3+HD+CsrIXz8QFIRFYVx4kSaY2MZ/fBDaHJz5dkqGZleFEolcz//ZRJzBrHhP/+gfNsaMoZbmfu5z7N/YyedjS62Lq2geF09o+dmUjA15ayXW8qcGpfNT0lREyWbmwj6Im1XdmEceeNVbFv8B3paW9CbLdzyje+RMezcO6oyMgNJeoyBV56cw7Jd2axc8zVuZgt/P/wc0xzfYN24+/jY7WGvI1J+XtNCnkHLzBgzU6NNTIk2Eac5fZsjCCq0mni0FzAcxaWi1R+k2OFmR4+bHXYXJU7vcbnLtAqBqdEm5sRamBNnZpBe268+zMGmHv6xuZrVpa1IEigEuG9CBs/OzSclqjf+syTBnpdhzXcjyfxSRsHd/4XYnIvzsDIy54FGr2Ls/CwKZ6ez6g0lzqqRtFevwONrYVdrKyp9ITkLnyJ3bBZpg0wYVD4klwspEEDy+xH9gYg7WSEgKFUIKiUolQgqNQqjEaXZhMJkQtDp+jdOOM+xhCRJeBwBulvcdDe76Wh00l7nwNbm4ZgogwDozWpS86JJyYsmNT+auHQTCkXk/h1FlWd131AwSEPpfsq3FlG1azuhYES8Vqk15E2cwsi5C0gvGCGPlWSuSkzGwTgc+7lB+Qn/VF7Hth4XW7qdzIw1n9V1dHkxJHxhJJ3/PYS/xk7bn4uZ9OBoxFkiRUVFLF++HEEQGDFiRL+vKYp+bLYdtHeso6NjLcGgre89o3Ewycm3UVuTwJgxd/Trej3BEKs67LzXbuNjm6uvb5GoUXF3ciz3JceSb9SdzWMPOFJQxL27FcemRkRnAAUC+uFxRN2UgyruxNwWlZWVvPvuu3g8HqKjo7n//vtJSkoagJpf/sije5lTIghCbyyyTA4kJjLmuusI1NbhKzmI92AJ3pIS/OXlBGpqCNTUHH+uRoMmJwd1RjqatDTUqamoe7eqlJTziml2NkiiiOhwEGxrJ9jcTNBqjZTmZoJNTfhra5E8nhNPVCrRFhSgHzEC3chC9CNHos3PR1AoqCoqQpuXd9HrLiNzJTLy+gXEpWXy/ou/oPHQQbqafsgNTz2LIBSya2UNXc1utr1dyc4Pahg2NZXC2elEJZxfkqprmbZaBwc2NlK9tx1RjIwkM4fFMn5hFi0VW1n951cIB4MkZA/itm/9H5aExAGusYzM+aFQCNwzOZeewmUU/febzGp/jUdbXsD8wT7GTXqezMJ0NjvdrO9yUOXxU+Xx83JzJE5wgVHHlGgTo8wGRpr15Bt0qBRXlvghSRLN/iClTi8HnB4OOr2UuDy0B45PBqYSYLTZwOQoE1NjTEyNNmHoZ3zIsCixpaKD3+72UrbmYwA0SgV3jE3jizMHMSjhmJVrnu5IvOXSdyI/j38C5v8C1FfWYFPm2kOtURKdI3DbYw/TVjufDa/8l5YjWwh5D1L5STk1e0ei0o1Fb4klOcdCUk4U8RkJxAwyYI7T9wmzl4qAL4Sj04ej04uzy4etzUO31UV3ixu/+8RkgAqFQFyGicQsM4lZFlLyoohOOvNqhdMR9PmoPbCXyp2fULNvNwHv0TFUxrBCCmbOZvCk6WgvYGgPGZnLkaSkm7G2vIWzdTFfSr+V39bb+Gp5PRsnDD3jZPZn0WSYSXpmDF1vHCZQ76DjpYOMnZ9LeEaYrVu3smzZMpxOJ5MnTz7l9zcYtNHZuYmOzg10d28lHD6apNNgGERS4kISkxZiMuYDUFdbdNo6uUJhPupy8G6bjU3dToK9uabUgsCN8RbuTY5lTqzlyutDhSLCsnNTI+HeFR3qNBN1qXYm3TnshONDoRAbN27kk08+ASAnJ4e77roLo7xy/ZTIArNMvxEEAe2gHLSDcohatAiIJLDwHz6Mv6ICf2UV/upI5uNQSwv+I0fwHzly8ospFJGYZrExqKJjUMbGorCYUej0KPQ6BL2+7zXHZBbWVxzB1tYOkojo9SH5vIheH6LXi+TzEna5CHfbCHd3E7LZCNtsJziRP4syIb435lkk7pk2Px/dsGEo9LLoJSNzLqQNHcZDv/wDH/7lBZrKSnnv1z9m9PyF3PGtR2k64uLAhkaslT0c2NjIgU2N5IyMp2BaKpnDY1H2UwC5lgn4QlTva6dsm5XWGgcAgkIgb1wio67PwBQdYs3fX6T+YCSZ2YjZ85jz2JOotbLgI3P1EG3UMuvLf6Fp4ygSt36fO9lI2Y5qvrXrm8yfPpXnJw+mOhTkkx4XH9tc7HG4KXf7KHcfjTmqVwgMM+kZYdKTZ9DhklRkevxk6DSoB3DQJEkRx1CzP0itx0+Vx0elx0+lx0eVx48nLJ5wjkWlYKTJwMRoI1OiTIyNMmA8y5Vk7Q4fb+1p5M1djTT3REJqmLQqHpyUyePTc0iyfKYNKV8JK78O7nZQG+GWP8LIu8/5uWVkBoqknEQe+Mn/o6vpPja88i8aS/cR9u8l7C8m5C3AYx9LXcnR/CoKlUB0ooGoBD3GaC0GiwZjVGSrNapRa5WotQpUGiVqrRJBIYAUmSACQIJwSCToD+PrkWipthP0h/B7QngcAbyOAB5nZOu2B3B2+fC5g6eofSQhX2yqkdgUI/EZEUE5Lt2ISn3+q0kdnR3UHdhHbfFu6vbv63MqAyRk5TB48nSGzZgtT2DLXFPExEzBYhmNw7GfOc5fsdnyNXY5vDx4sIY3Rw0iRn12MpvSoiXhi4XYP6zF9bEVx+o6RmTEopw0g6KdW1m7di02m40FCxagUCgQxQB2+z66u7fR3f0xDmcJxy5ZMJkKiI+/nsTEGzEZh/RrYqnNH2Rtp53VnXY+trkI9LZXCmBmjInbkmK4KT6K6LN8tssB0R/Gs6cV55ZmwvZIaA91shHLvEx0w+Io37z5hHO6u7tZtmwZVqsVQRCYPXs206dPR3EFhQAZCK68vw6ZywqFRoN+5Ej0nwlAH3a5CNTWRpzCzc0Em49xDre3I9rthLu7CXd3078UGBEsQOvZ1tFkQpWY2OegPrpNRZuTgzI6+iyvKCMjcybMcfHc/YOfs+eDd/l46evsX7uKhpID3PDkM9z+zbF0NDg5uLGRij1t1B7opPZAJ3qzmsETkhk6NZn49LNbYna1I0kSjYe7Oby9hZriDkKBiMCkNagYNj2VwlnpmGK0HN5WxDs//yc+lxOd2cINX3ya/IlyDFSZq5f0OV+AYZPxvfEQw5x1LJG+ww82PsaMzTO4fUw6n5uazTfGJOMLi+xzeNhtd3PQ5aHE6aXBF+gLqRHBxK93lqMSIFOnJVmrJlmrJlGjIkmjJkmrJlatxKRUYlQqMKuUmJQKjEolKoGTDuBCooRPFPH1bUV6gmG6gyFswTC2YAhbKExnIIjVH6TJF6CRKHzbSk/5zHFqFcNMOkb2OrFHmQ1k6TTn5EwMhkW2Vnbw9p4mPiprI/TpSohYA5Pjgzx3/2yi9OrjT/J0w+pvQ8nbkZ8zp8Kiv0Bc7lnfX0bmciIuPYN7fvATWqsr2f3Bcip3fEw4cIhw4BCG6HQM0aMIi3l4nUq6rW66re4zX7QfVK/Ze8ZjlGoFljgd5jg9UfE6LAn6XlHZhDH63L7/JyPo89FUXkrdgX3UHdhHt7XpuPdTBg8lf+JU8idMITo55YLcU0bmSkMQFAwf9gK7di+iu2sdX7GEadE+zX6nh9uLq3h5RA6DDGeX5E5QKoi+JRdtbjS2d6sINrrIs2oxFF7HR9WbqKhYQTC4nPR0Pw5nMaJ4NLeCIKiJiZ5EfML1xMddf8acEwBhSeKAw8Nmm5OPuhzscxxdkSAAk6KM3JoYza2J0SRo1Ke+0GVMyO7H9YkV985WJF9kpYcqyYBlbhb64XGRyb/PIIoiO3bsYNOmTQSDQaKiorjrrrvIyMi41NW/IpEFZpmLgtJkQl9YiP4UQemlYJBwTw+hbhthW0RoDrvdSN5eR7LPi+TxIvp8IB516lhbWkhNSQFBiDiddXoUev3R10YjqtiII1oZE4syJhqFRnOpHltGRuYYFAolExfdRdbIMXz45xfobm5kyfPfZvisucx88DGuf3QYk2/P5ciOVg5vb8HW6om4mjc2EpdmRBEt0jHISXyG6ZqM4RcOi7RU9lBzoJOKHRJl3v1976XkRTF0cgr5E5JQa5V0NTXy9p//1pdcJ3vUWOZ/6WuYYmIHqPYyMpeQ5EJ0X9kCK76CpfwD/qj5Gx+Fd/Dcrid4c1cjkwfF8uCkLOYWJDE15mh4h55giFKXl0MuLzUeP/usrXRrDVj9QWq8fmqOSWDTXxSAUhBQCJHBW0g64yknQcCoVJCu05Ch05Bv0JJv0JFv1JFr0BJ7nu4hUZTYWdvN+wesrC5toccTcUYqFQLzhyfx4KQspufFs2XL5uPFZTEMxa/Bhp+CpxPUBpj7I5jwBZAdPTJXEcm5+dzyte9ga7Wy78MVlG8twtPThKenCYVSRWbhaJJyRmJJKkCSTHgcATx2Px57AL83RNAfJhQIE/SHCQZEJFFCgIhqIwgIgFKlQK1VEgj7iI61oNYq0epV6C0aDBYNenNka7BoMMfpMJg1JxVDzhd3jw3rkXIaP9nE4o8+oK22CvGY1Z8avZ7MEaPIHjWW3HGTMMXGXfA6yMhciRgMOYwdu5gDBz4Pjg18RyjhN8pfc9gNc3Yf5rlBqTyWFn/WYSRU+Uq0T4To2L0dZ88hAroGJk9uAiGiifT05ukzGvOJjZ1BbOw0YqInolSePjSNJEnU+wJss7l4WzLw1LZSekJHv+s6hcDMGDMLEqKYF2e5YkVlSZIINDhxbbfiPdgJvRPnmiwL5hlp6IadXFgGaG1t5f3338dqtQJQWFjITTfdhF5e2d5vZIFZZkAQ1OpINuWEhDMffAxHiopImTXr4lRKRkbmopCUk8tDv/oDu957m90rlnGoaD3Vu3cw44FHGTFnHmPnZzHmhkza650c3t5C5e42uprd0AxvHdqNKVZLzqgEcgrjSc6LQq25/BOInis+V5CmIzbqDnZSV9KJ33M0rqI5TseQyckMnZxMVEKkExn0+di6+DX2rHwPMRxCZ7Yw88FHGXHd3EsS515G5rJBFwX3vAbFr8Pa55jn38d0TQU/Cz7EGzUz2FHTjVGjZP6IZG4bncbU3Dii1Sqmx5iZHhNZMVHUUs2sqRPwhkUafAHa/EHaAkFa/UHaA0HaAiHswTDOcBhXSMQVDkdKSOxLeiMCoiT1rVQVAJ1CgV4poFMo0CoEolQqYtRK4tSRbYxaRZxaRapWTbpOQ83uXdw0Y+YFnVjzBcNsr+li0+F21h5qpc1xVDwfnGTi1lGp3DUug+SoU4TSqf8EVn8HWg9Gfs6aDov+DLGDLlgdZWQuN2KSU7n+8S9x3UNPULVnB2WbN1B3oJi6/Xuo278HgPjMbLJHjSVzWAGp+UMxRsec1T2KioqYNWv8xaj+CXgcdtrrauioq6G9robW6gp6WluOO0YQFCTn5pM9aixZI8eQkj8UpUqWDGRkTobFPIKJE1ZQXf07aF3O/4We5r88wcfidfygqpm/1lbycEw7t8eKmDVmJOkQHR0BJEkkGOzpLd34/C14vQ14vQ2EQpHwdxh7C4CoQOXIpN0dQ1tPFE5nErNmLSI/79RxmQOiyCGXj112F7vsbnbZ3XT05WvQQChMlk7DdbFmZseamRlrPuvQWpcTYVcAz7523HtaCbX3ursVoB8Zj2l6GtpMyynPDYVCrF+/nk8++QRRFLFYLNx8880MHjz4EtX+6kH+byEjIyMjc9FRa7RMu+chCqbPZsPLf6ehZD8f/esvFK/5gGn3Pkzu+EkkZVtIyrYw/a58mipsfLz6AP4ODa5uPyWbmijZ1IRCJZCcE0Xa4GjShsSQnBOFUn3lCql+b4iWyh6ajthorrDR2eQ6Lut7TLKBnFEJ2MQGbrx9St+MezgU5OCGtexcvhR3TyQ79MjrFzD9/kfQm0/dgZKRuaoRBBj7MORdDx98DX3lWn6u+AfPJu/gN3yOZa1JLN/XzPJ9zcSbtMwZmsCcoYlMy4vHrDvq1NErFQwx6hhyllnRRUlClEAkslUIkYQ4ZysUtwnSeYvLkiTRZPNSVNFB0eF2Pq7uxBc8uiIsI1bPLSNTuXV0KkOTT9NmdFXDxp/BoeWRny3pcMNPYPgdkc9bRuYaQKXRMHTqTIZOnYm7x0bNvt3U7NtNfcl+Ohvq6Gyogw8ix0YlJpGSP5SErBzi0jOITcsgKjEJheLSCDdiOIyjs4OelmZsrVZsrVZ6Wqx01NfisnWfcLxaqyMlfwhBrYGpC24iJW+InKRPRuYs0GqTGDbsN2RlfZGW1vf4Ztt7TPRt500eoTWcym87s/lTh5fR7GMie7GV/JcoHKe8nlJpwGjIw2QuwGwahslQgKIqFteudrIdPnapKulUNbF27Vqqq6q4aeFCwiYzVR4/h1xeSp1eSl1ejrh9fcn5PiVWrWRylImUzha+MHkc2fqzC+NxuSEFRXwVNjzFbXjLuvvcygqTGsO4JEyTU1DFnLovJ4oi+/fvZ9euXQQCkcCtEydO5Prrr0ervbI/m4FCFphlZGRkZC4Zsalp3PXcT6nYsY3Nr79MZ2M9K174GSl5Q5h+/yNkjhiFUq0ga3gctR0Krps5jbZ6B7X7O2ks76aj0Ym1sgdrZQ+7V9WhUAnEp5lIyLKQmGkmIdNMbJrxskwWGPSH6Wx00l7vpKPBSXuDE1ur+zhB+VMBPWtEHDmj4olJjlgXiooaERQCohimfGsRn7y9GEdHGxBZyjv70SdJHTx0AJ5KRuYyxJIKDyyFg0th3f+R2LOfF9jPj0bezlLL47xWHqauy8Nbe5p4a08TKoXAhOxYMlQBzDndjEiLQqs6ezFI0RsaI+JbvrSIokRlu4tddd3sru1mV203rQ7fcceMSLMwZ0gicwqSGJUedXoRu6uaoeV/hM2bQQqDSgfTvgbTngWNLD7JXLsYo2MonHMDhXNuIBQM0lx+iMayg1grDtNaVYG9vQ17exuHPz6aNEqpUhGdnIopNg5TTBym2FiMMbEYLNHYG2ppOpyARqdHrdWi0kREDUmSQJKQekvQ58Xv9RD0egn4vPg9HrwOOy5bN25bN66e3m13N2I4dNK6q3V6ErJySMzOITE7l8TsQSRk5aBQKikqKiJ75JhL8hnKyFyNGI155OV+i9xB32RcoJ1HHWWsbK/kjZ54ygIx7GQaO5kGQJLCyRC1jSxNkFStgjS9gVRDAlGGFCyaGPRKJSLgF0XaRAlfgUhXVgxNZZ1Yaw1YhTzKDR6W6Q18b281QdXJw1kM0muZGGWMlGgjuXotgiBQVFR/xYrLUjCM74gNT0knvvJupEBvmA8F6ApiMY5PRjc0BuEMY8Hq6mrWrVtHW1tkPJWWlsaCBQvkWMvniSwwy8jIyMhcUgRBYMiUGeSOn8zB9WvY+e5SWqqO8PZPnyNt6HDG33w7ueMmRo5VRATX5Jwoptyei88dxFrZQ3Ov47er2U17fUS0PdR7fYVKICrBQHSinugkQ18xx+owWDQoVRdPfA4GwnjsfhydPnraPPS0eyLbNg/OLh+fMRKgUAgk5lhIHxpD2uBokgdFoTpJCBAxFOTg+jXsWfUett6EO3HpmUy79yHyJky5JmNUy8icFkGAUffBkJtg2+9h+18xVbzLE6rVPD7uUSpzH+ejZiVFR9rZW29je00X24G3KrajUSooTI9iXFYMYzKiGZxsJivWgOoymbgKhkWqO1yUWR0csjp6t3YcvuNFpWiDmkk5scwZmsisIYkkWfrhyO6sgq2/g4NLSZbCIChhzENw3XcgOvMiPZGMzJWJSq0ma+RoskaOBiLu4c7Geloqj9DV3EB3cxNdzY24ujrpamqgq6nhpNepWvXOBa2XKTaOmORUolNS+7bx6ZlEJ6XI4bNkZC4ygiCg1SaRlJDEEwnwBNDg9fNhh523quupV2ppC5tp85vBDziPPbutt5yGHDUQ3VsiaIIB4v0+xpgsTB2USmGUgWEmPaZzmCy/HAnZ/fgrbPgqbPiO2I6KyoA6zYRhZDyGMYkoLacXzSVJoq6uji1btlBbWwtAVFQUqamp3H333Sjk9vG8kQVmGRkZGZkBQaVWM/bGWxgxey7Fqz9g9/vv0Hz4EM2HDxGdnII5fxjByZNR646KIjqjmkGjExg0OhK/3e8N0dnrBu5ocNJe78De7sXW4sbWcvLs7jqjGkOUBmNUJImOWqdCo1Wi1ilRayNFoYwItrYaiXJNJNFDOCRFEvb4QgT8vcl7vCE8jgBueyTBT8AXPuk9ISImx6UbScg0k5hlISHTTFyaEZX61J0/d4+N/etWcXDVCsK+SDwxS0ISU+9+gIIZsy7ZklsZmSsWnQXmPg/jHoUNP4bSdxB2/oPBu//D4NH385W7v0aPfjxbKjtZvrUEa1BHRZuLvfU29tbb+i6jUSnITTAxOMlEXoKJtBg9KVF60qL1JEVpz8nxfCokScLmDtDp8tPc46W+y0N9l4eGbnff60BYPOG8ZIuOiTmxTMiJZVJOLHkJJhT9SS4kilC9EXb+A6o+iuwTlLQkzyXlnhcgNueCPZuMzNWMQqkkMXsQidnHxyYPeD30tLXisnXh6u7G3es29tjttLVYMRkMBH1egj4fwYA/sgZCoUBAACESF1mj06HW69Ho9Gj1BtR6PXqzBVNMHMaYGEwxEVe0KSYWtfbswvvIyMhcXDL1Wp7KTGRoTRkzZoyn0uPjoNNLozdAsz9Asy9IdzCETxTxiiK+sIRSAG1v7gatQkG0SkmCRkWCRk2CRkWyRk1auw//jnL2WnfjEiKrlhSbE4jOGocwKofw4BiUJs0AP/3ZI3pDBBoc+Cp78FXaCLV5jnv/U1FZPyIeVdyZE/BJkkRVVRVbtmyhsbERAK1Wy/Tp05k8eTIff/yxLC5fIGSBWUZGRkZmQNHo9Ey6/R5Gz7+Z0k0fsW/1+/S0ttDT2sJL+3YwdNosRlx3PUm5+Sc4dbV6FWlDYkgbcjSpTsAXwt7h7XMOR1zEXtw2Hx5nEJ87UrqtJxegP4t11+F+P4tCJWC0aDHFaolJMhCVZCA6MeKgjkrQ98s9LYbD1B8spnTzBqp3byccirgSkwblM/7m28ifNE1OuCMjc7bEZMFdL8P0r8PWF+HQu7Dvf1D8OtFDF3LruMewDFcza/Z12D1BihsjAnNps52KNhfNPV7KWxyUt5w8bmK8SUO0QYNFp8KiV2PRqbHoVWiUSpSKyASTUhBQCAKiJOELiniDYXzBMN5AGHcgRHevqNzp9BNe+9FpHycrzsCwFAvDUy0MS7VQkGIh2aI7u9UMnm4oeRt2/RO6qiL7VDoovBtmfIMjBxtIkcVlGZnzRqM3nFR4hk+T/M269JWSkZEZEJSCwFCjnqHGMwujZyQFGJXK5O5JbP5gA3tqD1JPB/V1a8ivSWFMKIf49ES0+dFoMi1oM80oDCcPpzFQSKJEqMtLoMFJoN6Bv95BqN1zXAhBQaNAmxuNbnAMuiGxqGL7N4kWDAYpLS1l165dtLREEprq9XomT57MxIkT0esvwO9A5jjkEaqMjIyMzGWB1mBg3MJFjFlwM1W7t7Nx8X9xt7VwYN0qDqxbRVx6JsNmzqFgxizMsfGnvI5GpyIhw0xChvmE90RRwucK4u7x47b78bmDBH0RN3LAF+p1KIcjsQ+B1tZWkpOTgYhApNap+pzOGp0KtVaJwazBEK3BGKVFa1CdU7gKSZLoaqzn0JaNlG8rwv1pIh5BIG/CZJRp2Sy870E5FIaMzPmSXAh3vwKzn4OPfw8HlkD5B1D+AZN0SaB6kqjRDzJrSDKzhiT2neb0Balsd1HZ5qSmw43V7sPa46Wlx0urw0enK0CnK3DBqmnWqUgwaUmy6MiON5AVZyQr1kBmXOS1SXuOXfigDyrXwsG3oGItiMHIfks6THgCxn4OjHG9B598Ob+MjIyMjIzM5YM+1sSCzy1imnMOm9dtYl9pMZVCC1WKFrJaExjRlEmSFIWAgCpeT6JGwKlsRpWoR51gQBmt7UskfrGQwiJhe4BQl5dgq4dgq5v0SgXWDZ8gBT+zKkspoEkzoc2JQjs4Bm2WBeEsQhx2d3eze/duiouL8fkizm6j0cjUqVMZP368nMDvIiILzDIyMjIylxUKpZLBk6dj9YUYlp1J2ZYNlG0toqupga2LX2Xr4ldJGpRP7viJ5I6bREJWTr+FV4VCwGDRYLBoSOBEAfqzFBW1M2vWsPN8opMjhsM0Hymjes9OqvfupKe1pe+9mJRUhl83l4IZs7HEJ1BUVCSLyzIyF5L4PFj0V5j9f1D8Ouz7L3p7I2z4CWz8GWRPh4JboeAWMCdj1qkZmxnD2MyYEy4VCot0ugI4fEEc3mDvNoTDFyQQEhElibBI71ZCAPQaZaSoI0WnURJn1BBn0nJo7w5uuH72hXtWvwtqN8ORD6HsA/DbI/sFBQyaDeMfgyELQSkPC2RkZGRkZK5UzGYzN995K1NnT2fz5s2UlJRQJ3RQp+wgURXDMH/q/2fvPsPjKM+2j//vLeq92rJsyb33TjE2GGNMNcUhBAIEQkJJIMnzhDRKSIM3CQkBQpKHFkKHhGZMiTsY497lIlmWJVm997Y774eV5SZbsmytVtL5O449Vtqdmb12jE52rr3nHpKLYgnDTnlO+pEVHTacMYHYw/2whfphb77ZQp3Y/OwYpx3jZ8P42T2NXsvCclvgtrBcnnt3nQt3bRPu2kbcNU2enysaaCqtw1Vaj6ui/phRyQABGCzc2ML88EsMxT8pDL+kUPz6hWKcpzdlRW1tLbt372bHjh0t8ysDJCQkMHXqVMaMGYPT6Vujt3sifZIUERGfdfiU0vNvvI2MbZvYtXIZB7ZuIj89lfz0VL5861VCY2JJHj+JxJFjSBwxmrDYuLY33AUst5vi7Eyy96SQnbKDg9u3UFdd1fJ8QGgYQ6fNZPQFc0kYNkINZRFvCOsLF/wvnP9Dtr/7JOMaN8G+T+DAas9tyf/CgBkw/FIYeIFnBPRxc5877Db6hAfQJ/zszHuaaj/Dv33LgpJ0SFvqeS8ZX4DrqNHVfcfDuK/BmGshtM+ZvZaIiIj4lKioKBYuXMjcuXNZv349GzdupKC2lAJ7KX4BTuL9o5kSP5o+NWG4iupwVzbQmFdNY177pg/sEAO2MD8ckQE4+wTh7BPMztx9TL3kXOzBHWv81tfXs2/fPnbu3Elqaiput2cktMPhYMyYMUydOpV+/fqdzXchbVCDWUREfJ7d4WDw5OkMnjydxoZ6MndsbR75u57KokJ2LPuUHcs+BSA0JpbEEaOJHzSU2KRkYgYkExQW7tV6LcuisriQosyDFB48QG7aPg7t2UVd1TGXiiaybwKDp8xg8JTpJAwboYv2iXQVm52S6Ekw+4dQWwp7P4HdH0DaMshc67kBBER4RjcPvAASp0DcKHB28QW1mhogbztkfuWpM2s9VBcctYCBflNg2HzPiOy4EV1WqoiIiHhHaGgoF110Eeeffz7bt29n69atZGdnk9WYR1ZVHqGhoQwbN4whyYPpHxKPvRZclQ24KxtwVTbgqmzEanRhNbo9twbPz9iMZ0oNG833BuPvwBbkwBZ4+N6JPcSJPdIfR2QA9nD/E6a5qFu577Say5ZlkZ+fT1paGmlpaWRmZrY0lY0xDBw4kLFjxzJy5EjNr9xF1GAWEZFuxenn39Jsttxu8tJTyU7ZSfbunRzam0JlUSG7v1jJ7i9WtqwTHBFJzIBkIuL7EhoTS1hsHGHRsYTGxBIYFobD6XdaI4Yty6Kxvo6asjIqigqpLC6korCAiqJCSnOzKco8SH3NiaMAQqKiSRw5hn4jRjNgzDiiEhLPxi4RkbMpMBImfN1zq6+E1M9g/3JIXw3lmbBnsecGYHNAzHDoOw76jIPoIZ4LCkYMAOdZPripr4KKQ1CUCgW7oXC3574o9chcyocFRUPy+Z6m8tCLIfjk89aLiIhIz+Xn58eUKVOYMmUKxcXFfPDBB5SXl1NWVsamTZvYtGkTdrudpKQkBg0aRP+h/enbNwk/P78urbupqYm8vDyys7PJzs7m4MGDVFYeGaxjjKF///6MHj2a0aNHExra9vSH0rnUYBYRkW7L2Gz0HTKcvkOGM/XKa7HcboqyDnJoTwqFBw9QmJVBUeZBqstKqS4r5SBbWt2Oze7APygI/6Bg/IKCsDfP0VVRXkHOssVgWTQ1NFBfU0NDTTX1tTVYbner2zosMDSseQT1QOKSB5E4cjRhsfGa+kKkO/EP9UwlMeZaz++lGZ6pMzK+gJytUJwKBbs8t22vH7tuSLyn0RwUA4ERnsZ1QITnZ5vDMweyze65x0BjDTRUMTB9F9R+7GluV+VDRY6nsVxXfvI6Y4ZB/+me6Tz6z4DowaCsERERkaNER0czcOBALrjgAnJyckhLSyM1NZXs7GzS09NJT/fMzWyMIT4+nsTEROLj44mOjiY6OpqwsLCzfixjWRbl5eUUFRVRWFhIUVER+fn55Obm4nK5jlk2JCSEIUOGMGTIEAYPHqyRyj5GDWYREekxjM1GbNJAYpMGtjxmud2UFxZQlHWQisJ8KgoLqCwqpKK4kMqiQmorK3G7mqitrKC2suKEbVbn57T6Wg4/fwJDwwiLjSU0Opaw5pHR4XF9iE0aSFB4hJrJIj1NZLLnNumbnt8bqiE/BfK2Qd5OTwO6NAPKszzN4ar8036JJIDMVp6w+0NYgqd5HDvCMz1H3AjPCGr/kI6+IxEREelljDH069ePfv36ccEFF1BdXc3+/fvJzMwkOzub/Px88vLyyMvLO2Y9p9NJVFQUoaGhBAcHExwcTEhICEFBQTgcDux2e8vNGENTUxONjY00NjbS1NREfX09VVVVVFZWkpWVxY4dO6ioqKCxsbHVOmNiYkhMTKR///4kJiYSFxen4ysfpgaziIj0aMZmIyK+DxHxJ7+YlWd0cnXLCOXD35Zv2bKZiRMnAeBwOltGOPsHBWF36ErEIr2eXzD0n+q5Hc3t8ow8Ls+CmhLPvM51ZVBb5hmJ7G4Ey918szz3jgDwD+FAThEDh48FvxAIiYOwfp5bUJRGJYuIiMhZFxwczLhx4xg3bhzguYBebm4uhw4doqioiKKiIoqLi6mpqSE/P5/8/NP/Ar2t14+JiSE2NrblPiEhQSOUuxk1mEVEpNdz+Pnh8PMjOCLymMdTc/PpN3xkF1UlIt2WzQ4R/T2303Rw5UoGzpx99msSERERaQd/f3+Sk5NJTk4+5vGamhpKS0upqqqiurq65VZTU4PL5Trm5na7cTgcOJ3OY24hISGEhoayf/9+zjvvPEJDQ9VI7iF8tsFsjLkeeAQYCUyzLGvjSZabDzwJ2IHnLMt6zGtFikiPocwREW9T7oiItyl3RMTblDs9R1BQEEFBQWdlW6WlpcTFxZ2VbYlvsHV1AaewE7gGWH2yBYwxduAZ4FJgFPB1Y8wo75QnIj2MMkdEvE25IyLeptwREW9T7oj0Aj47gtmyrN1AWxN4TwPSLMtKb172DeAqIKXTCxSRHkWZIyLeptwREW9T7oiItyl3RHoHY1lWV9dwSsaYlcD/tHYahTHmOmC+ZVl3NP9+MzDdsqx7W1n2TuBOgPj4+MlvvPHGKV+3qqqKkJCuvyK36vC9Onyhhu5Wx5w5czZZljXFSyWdkbOVOc3PK3e6eR2+UIPq6Fgdyh3lTnesQXV07zp6Y+6cbuZA9/o37Q01qA7frKO9NSh3uk/u+EINqsM36/CFGk6njpPmjmVZXXYDluI5XeL421VHLbMSmHKS9a/HMzfP4d9vBp5q63UnT55stWXFihVtLuMNquNYvlCHL9RgWd2rDmCj1YVZc/jWVZljKXc6xBfq8IUaLEt1HE+5o9zpqTVYluo4Xneqo7fnTnsyp7370ht8oQ5fqMGyVMfxfKGO9tag3Ok+ueMLNViW6jieL9ThCzVY1pnnTpdOkWFZ1twz3EQ2cPTluROBnDPcpoj0UMocEfE25Y6IeJtyR0S8TbkjIr58kb/22AAMNcYMNMb4ATcAH3RxTSLScylzRMTblDsi4m3KHRHxNuWOSDfnsw1mY8xCY0w2MBP4yBjzafPjCcaYJQCWZTUB9wKfAruBtyzL2tVVNYtI96XMERFvU+6IiLcpd0TE25Q7Ir1Dl06RcSqWZb0LvNvK4znAgqN+XwIs8WJpItIDKXNExNuUOyLibcodEfE25Y5I7+CzI5hFRERERERERERExLepwSwiIiIiIiIiIiIiHaIGs4iIiIiIiIiIiIh0iBrMIiIiIiIiIiIiItIhajCLiIiIiIiIiIiISIeowSwiIiIiIiIiIiIiHaIGs4iIiIiIiIiIiIh0iBrMIiIiIiIiIiIiItIhajCLiIiIiIiIiIiISIeowSwiIiIiIiIiIiIiHaIGs4iIiIiIiIiIiIh0iBrMIiIiIiIiIiIiItIhajCLiIiIiIiIiIiISIeowSwiIiIiIiIiIiIiHaIGs4iIiIiIiIiIiIh0iBrMIiIiIiIiIiIiItIhajCLiIiIiIiIiIiISIeowSwiIiIiIiIiIiIiHaIGs4iIiIiIiIiIiIh0iBrMIiIiIiIiIiIiItIhajCLiIiIiIiIiIiISIeowSwiIiIiIiIiIiIiHaIGs4iIiIiIiIiIiIh0iBrMIiIiIiIiIiIiItIhajCLiIiIiIiIiIiISIf4bIPZGHO9MWaXMcZtjJlyiuUyjDE7jDFbjTEbvVmjiPQcyhwR8Tbljoh4m3JHRLxNuSPSOzi6uoBT2AlcA/y9HcvOsSyrqJPrEZGeTZkjIt6m3BERb1PuiIi3KXdEegGfbTBblrUbwBjT1aWISC+gzBERb1PuiIi3KXdExNuUOyK9g7Esq6trOCVjzErgfyzLavUUCWPMAaAUsIC/W5b1j5MsdydwJ0B8fPzkN95445SvW1VVRUhIyBlUfnaoDt+rwxdq6G51zJkzZ5NlWSc9HcqXnK3MaV5WudPN6/CFGlRHx+pQ7ih3umMNqqN719Ebc+d0Mwe6179pb6hBdfhmHe2tQbnTfXLHF2pQHb5Zhy/UcDp1nDR3LMvqshuwFM/pEsffrjpqmZXAlFNsI6H5Pg7YBsxq63UnT55stWXFihVtLuMNquNYvlCHL9RgWd2rDmCj1YVZc/jWVZljKXc6xBfq8IUaLEt1HE+5o9zpqTVYluo4Xneqo7fnTnsyp7370ht8oQ5fqMGyVMfxfKGO9tag3Ok+ueMLNViW6jieL9ThCzVY1pnnTpdOkWFZ1tyzsI2c5vsCY8y7wDRg9ZluV0R6HmWOiHibckdEvE25IyLeptwREVtXF3AmjDHBxpjQwz8D8/B8SyYictYpc0TE25Q7IuJtyh0R8Tbljkj357MNZmPMQmNMNjAT+MgY82nz4wnGmCXNi8UDXxhjtgHrgY8sy/qkayoWke5MmSMi3qbcERFvU+6IiLcpd0R6hy6dIuNULMt6F3i3lcdzgAXNP6cD471cmoj0QMocEfE25Y6IeJtyR0S8Tbkj0jv47AhmEREREREREREREfFtajCLiIiIiIiIiIiISIeowSwiIiIiIiIiIiIiHaIGs4iIiIiIiIiIiIh0iLEsq6tr8DpjTCFwsI3FYoAiL5TTFtVxLF+owxdqgO5VR5JlWbHeKMZXKXc6xBfq8IUaQHUcT7nTDsqdblkDqI7jdac6enXutDNzoHv9m/aGGkB1HM8X6mhvDcqd7pM7vlADqI7j+UIdvlADnGHu9MoGc3sYYzZaljVFdagOX6xBdfRMvrIvVYdv1aA6fLeOnsBX9qUv1OELNagO1dEb+Mq+9IU6fKEG1eGbdfhCDT2JL+xPX6hBdfhmHb5Qw9moQ1NkiIiIiIiIiIiIiEiHqMEsIiIiIiIiIiIiIh2iBvPJ/aOrC2imOo7lC3X4Qg2gOnoiX9mXquMIX6gBVMfxfKWOnsBX9qUv1OELNYDqOJ7q6Hl8ZV/6Qh2+UAOojuP5Qh2+UENP4gv70xdqANVxPF+owxdqgDOsQ3Mwi4iIiIiIiIiIiEiHaASziIiIiIiIiIiIiHSIGszNjDHXG2N2GWPcxpiTXjXRGJNhjNlhjNlqjNnYhXXMN8bsNcakGWN+0gl1RBlj/muMSW2+jzzJcmd9f7T13ozHX5qf326MmXQ2XrcDdcw2xpQ3v/etxpiHOqGGF4wxBcaYnSd53lv7oq06On1f9ETKnRO2r9xR7pxOHcqdDlDuHLPtLsuc5u0qd468hnKnB/OF3PGFzGnefq/PHV/InObX6fLcUeZ0HuXOMdtX7ih3TqeGju8Ly7J080wTMhIYDqwEppxiuQwgpivrAOzAfmAQ4AdsA0ad5Tr+H/CT5p9/Ajzujf3RnvcGLAA+BgwwA1jXCf8O7aljNrC4k/+7nAVMAnae5PlO3xftrKPT90VPvCl3TngN5Y5y53TqUO50bL8qd45sv0syp73vTbnj3X3RzjqUOx3br12eO76QOc2v0atzx1cyp/l1ujx3lDmd+u+r3DnyGsod5c7p1NDhfaERzM0sy9ptWdbeblLHNCDNsqx0y7IagDeAq85yKVcB/2z++Z/A1Wd5+yfTnvd2FfCy5fEVEGGM6dsFdXQ6y7JWAyWnWMQb+6I9dUgHKHdOoNxR7pxOHdIByp1jdFXmgHLnGMqdns0XcsdHMgeUOz6ROeAbuaPM6TzKnWMod5Q7p1NDh6nBfPos4DNjzCZjzJ1dVEM/IOuo37ObHzub4i3LygVovo87yXJne3+057154/239zVmGmO2GWM+NsaMPss1tIc39kV7dfW+6MmUO8dS7ih3DuvqfdGT9Ybc6arMAeXO6VLu9A5dnTs9+bMO+EbudJfMAd/JHV/YFz2ZcucI5U7X/61169xxdGZFvsYYsxTo08pTP7cs6/12buZcy7JyjDFxwH+NMXuavwHwZh2mlces06mhrTpOYzNnvD+OL6uVx45/b2fl/Z+FOjYDSZZlVRljFgDvAUPPch1t8ca+aA9f2Bc+SbnT/jpOYzPKHeUO+Ma+8EnKnfbVcBqbOduZA8qd06Xc8XG+kDu+kDlt1XEam+mpudNdMgd8I3d8ZV/4JOVO++o4jc0od7r+b61b506vajBbljX3LGwjp/m+wBjzLp7h9qf1R3cW6sgG+h/1eyKQc7obOVUdxph8Y0xfy7Jym4fkF5xkG2e8P47Tnvd2Vt7/mdZhWVbFUT8vMcb81RgTY1lW0Vmu5VS8sS/a5CP7wicpd9pfh3JHuXM6fGRf+CTlTvtq6MLMAeXO6VLu+DhfyB1fyJy26lDudJvMAR/IHR/aFz5JudO+OpQ7yp3TcSb7QlNknAZjTLAxJvTwz8A8oNUrL3ayDcBQY8xAY4wfcAPwwVl+jQ+AW5p/vgU44du3Ttof7XlvHwDfNB4zgPLDp3ycRW3WYYzpY4wxzT9Pw/P3VHyW62iLN/ZFm3xkX/RIyp1jKXd84m9NudPD9aLc6arMAeXO6VLu9HA+kjs9+bMO+EbudJfMAR/IHR/aFz2ScucI5Y7P/K1179yxOvkqid3lBizE821BPZAPfNr8eAKwpPnnQXiuOLkN2IXntAev19H8+wJgH56rYXZGHdHAMiC1+T7KW/ujtfcGfBf4bvPPBnim+fkdnOKqsJ1cx73N73sb8BVwTifU8DqQCzQ2/3dxexfti7bq6PR90RNvyp0T6lDuKHdOpw7lTsf2q3LnyLa7LHNO9t6UO8qdnnjzhdzxhcxp3n6vzx1fyJzm1+ny3FHmdN5NuXNMHcod5c7p1NDhfWGaNyAiIiIiIiIiIiIiclo0RYaIiIiIiIiIiIiIdIgazCIiIiIiIiIiIiLSIWowi4iIiIiIiIiIiEiHqMEsIiIiIiIiIiIiIh2iBrOIiIiIiIiIiIiIdIgazCIiIiIiIiIiIiLSIWowi4iIiIiIiIiIiEiHqMEsPskYs9wYY7Vy+6iraxORnkm5IyLeptwREW9T7oiItyl3egdjWVZX1yByAmNMKfB74IXjnqqxLKuiC0oSkR5OuSMi3qbcERFvU+6IiLcpd3oHR1cXIHI8Y8xgIAJYZVlWXheXIyK9gHJHRLxNuSMi3qbcERFvU+70HpoiQ3zRZMAFbOnqQkSk11DuiIi3KXdExNuUOyLibcqdXkINZvFFkwE7UGCMqTrq9nZXFyYiPZZyR0S8TbkjIt6m3BERb1Pu9BKag1l8jjFmKVAG/OS4p8otyyr0fkUi0tMpd0TE25Q7IuJtyh0R8TblTu+hEcziiyYCayzLSjvuVghgjFljjJnR/PM/jDH/06XVikhPoNwREW9T7oiItyl3RMTblDu9hC7yJz7FGDMQiOLU8/P8EvhZ8zdhTsuy/uCV4kSkR1LuiIi3KXdExNuUOyLibcqd3kVTZIhPMcZcB7wNjMRzGsXRiizLampebj1QA8yzLKvBq0WKSI+i3BERb1PuiIi3KXdExNuUO72LRjCLr5ncfL/7uMctPN98lRljJgExwE6Fj4icBcodEfE25Y6IeJtyR0S8TbnTi2gEs3QrxpgEYAlwDfAm8G3LsrZ2aVEi0qMpd0TE25Q7IuJtyh0R8TblTs+ii/xJt2GMCcRzesV9lmWlA78FHuzaqkSkJ1PuiIi3KXdExNuUOyLibcqdnkcjmEVERERERERERESkQzSCWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mEREREREREREREekQNZhFREREREREREREpEPUYBYRERERERERERGRDlGDWUREREREREREREQ6RA1mOauMMY8YY6yjbud1dU2tMcZ8cnSdXV2PiHScckdEvE25IyLeptwREW9T7sjpUINZOssPgJuBvUc/aIz5qTHmbWNMevMff8bZekFjjM0Y8wNjzB5jTJ0xJssY80djTHAri/+/5vo+P1uvLyJdrity53S2rdwR6Xm8mjvGmGHGmEeNMV8ZYwqNMZXGmK3GmJ/r845Ir+Ht3BlujHnVGLPbGFNujKlpPt56whjTt5VVlDsiPY/Xj7OOe50gY8yB5td4upVFlDs+wNHVBUiP9Z5lWRmtPP5boATYDESc5df8E/B94F3gj8DI5t8nGmPmWpblPrygZVnLAYwxc4Hzz3IdItI1uiJ32r1t5Y5Ij+Tt3PkWcA/wAfAq0AjMAX4NLDLGzLAsq/bwwsodkR7J27mTCPTFc4yVDTQBY4E7gRuMMRMsyyo4vLByR6RH6orjrKM9CsSc7Enljm9Qg1m8bbBlWekAxpidQMjZ2KgxZjTwPeA/lmVde9TjB4C/ADcAr52N1xKRbqdTcscL2xaR7quzsuEd4HeWZZUf9djfjDGpwM+B24HWRvaISM/XKbljWdYyYNnxjxtjVgNvAbfiGT0oIr1Ppx8LGWMmAfcDP8YzkFB8lKbIEK86HD6d4OuAAf583OP/B9QAN3XS64qIj+vE3OnUbYtI99VZ2WBZ1sbjmsuHvdl8P6YzXldEfF8XfCY52Hwf6eXXFREf0dm5Y4yx4+npfAL8pzNfS86cRjBLTzEVcAPrj37Qsqw6Y8zW5udFREREeqLE5vv8Lq1CRHosY0wAntGJAcAo4PHmp5Z0WVEi0tP9ABgBXNvWgtL1NIJZeooEoMiyrPpWnjsExBhj/Lxck4iIiEinah7d8xCeeVE1HZiIdJY7gEIgC/gUz3yrN1mWpYtqichZZ4wZCPwSePQk8z+Lj9EIZukpgoDWmssAdUct0+CdckRERES84s/ADOBnlmXtbWNZEZGOeg/Yg2cU80TgSiC2KwsSkR7tWeAA8ERXFyLtowaz9BQ1QNxJngs4ahkRERGRHsEY8yvgXuAflmX9rqvrEZGey7KsbCC7+df3jDH/BjYYYwKVPyJyNhljbgLmAbMsy2rs6nqkfTRFhvQUOXimwfBv5bl+eKbP0OhlERER6RGMMY8AvwBeBL7btdWISG9jWdZ2YAtwd1fXIiI9R3NP5wk887vnGWOGGGOGAEnNi4Q3PxbRVTVK69Rglp5iA57/nqcd/WDzxSgmABu7oCYRERGRs84Y8zDwMPAycIdlWVYXlyQivVMgENXVRYhIjxKIZ/qdy4DUo24rm5+/qfn3O7qiODk5TZEhPcWbwM+A+4GjLzTxbTxzL7/aBTWJiIiInFXGmIeAR4B/AbdZluXu2opEpCczxvSxLCuvlcfnAGM40vQRETkbqoHrW3k8Fvgr8AnwPLDdm0VJ29RgFq8yxtzMkVMbYgE/Y8wvmn8/aFnWv45a9lY8p33+0rKsR061XcuydhhjngHuNcb8B8/pFCOB7wOr0FXVRXqtzsqd0922iPQenZU7xph78FxRPRNYCtxojDl6kXzLsv57Nt6DiHQvnfh551ljTF9gOXAQz/VtJgM3AJXAj87WexCR7qUzcqd5zuV3Wnmt5OYf91uWdcLz0vXUYBZvux244LjHftV8vwrPaJzDQpvvD7Vz2/cDGcCdeE6nKAKeAh7S6B6RXq0zc+d0ti0ivUdn5c7U5vsBwD9beX4VoAazSO/UWbnzOnALcDOeBpKFp9H8d+D3lmVldrRgEen2OvM4S7oZNZils0QaY6qAMsuymg4/aFnW7NPYxhwgDXipPQtbluUC/th8OyVjTBjgB7R2UUAR6Z66InfavW3ljkiP5NXcsSzrVuDW9m5YuSPSI3k7d94C3mrvhpU7Ij2S14+zjmdZVgZgWntOueMb1GCWzrK5+f584IvTXdkY4wAuBG5vPkXibHsLuKQTtisiXUe5IyLeptwREW9T7oiItyl3pE1GF52Ws8kYMwgYdNRDGyzLKu+qek7GGDMBiDn8u2VZS7uuGhE5E8odEfE25Y6IeJtyR0S8Tbkjp0MNZhERERERERERERHpEFtXFyAiIiIiIiIiIiIi3VOvnIM5JibGSk5OPuUy1dXVBAcHe6cg1dGt6vCFGrpbHZs2bSqyLCvWSyX5JOVO96zDF2pQHR2rQ7mj3OmONaiO7l1Hb8+d9mQOdK9/095Qg+rwzTraW4Nyp/vkji/UoDp8sw5fqOF06jhp7liW1etukydPttqyYsWKNpfxBtVxLF+owxdqsKzuVQew0fKBv/2uvCl3Tp8v1OELNViW6jiecke501NrsCzVcbzuVEdvz532ZI5lda9/095Qg2WpjuP5Qh3trUG5031yxxdqsCzVcTxfqMMXarCsM88dTZEhIiIiIiIiIiIiIh2iBrOIiIiIiIiIiIiIdIgazCIiIiIiIiIiIiLSIb3yIn+taWxsJDs7m7q6OgDCw8PZvXt3F1fV+XUEBASQmJiI0+nstNcQkdYpd5Q7It7WG3NHmSPSdY7PHFDuiEjn8tXc0TGW9HQ+3WA2xrwAXA4UWJY1ppXnZwPvAweaH/qPZVmPduS1srOzCQ0NJTk5GWMMlZWVhIaGdrDys6cz67Asi+LiYrKzsxk4cGCnvIZId6PcUe6IeJtyp/NyR5kj0jpv5c7xmQOd+znjdCh3RLynKz/rgG/kjo6xpKfz9SkyXgLmt7HM55ZlTWi+dSiAAOrq6oiOjm4JoN7AGEN0dPQx3+yJiHKnMyl3RFr1EsqdTqHMETmpl/BC7vS2zAHljshJvIQ+63Qa5Y74Ap9uMFuWtRoo8dbr9aYAOqw3vmeRU1HudL7e+J5FTkW507l62/sVaQ9v5k5v/Bvsje9Z5FT0Wafz9cb3LL7FpxvM7TTTGLPNGPOxMWZ0VxcjIr2CckdEvE25IyLeptwREW9S5oh0Y8ayrK6u4ZSMMcnA4pPM0xMGuC3LqjLGLACetCxr6Em2cydwJ0B8fPzkN95445jnw8PDGTJkSMvvLpcLu91+1t5HR3mjjrS0NMrLy0+5TFVVFSEhIZ1aR3v4Qh2+UEN3q2POnDmbLMua4qWSzphyR7njSzWojo7VodxR7hytu2SO6ujedfTG3DndzAHlztG603/fqsM3a+hOudNVn3XAN3JHx1iqw5drOJ06Tpo7lmX59A1IBna2c9kMIKat5SZPnmwdLyUl5ZjfKyoqTlimMx04cMAKCAiwxo8fb1mWZdXW1lpTp061xowZY40aNcp66KGH2tzGK6+8Yo0dO9YaO3asNXPmTGvr1q2WZVlWTU2NNX78eMvpdFqFhYUnrHf8e2/NihUrTuv9dBZfqMMXarCs7lUHsNHygTxp76235s5hpaWl1oQJE6zLLruszW243W7re9/7njV48GBr7Nix1qZNmyzL6jm54ws1WJbqOJ5yp3fnzmHr16+3bDab9fbbb1uWderc6S6ZY1mq43jdqY7enjvtyRzL8m7utJY5SUlJ1pgxY6yxY8dardV8PB1jeY/qOP0aulPudNVnHcvq+twpLS21rrrqKmv48OHWiBEjrC+//PKU2+jpx1iWpTp8rQbLOvPccbSzke2TjDF9gHzLsixjzDQ8U34Ud3FZHTZ48GC2bt0KgL+/P8uXL8eyLAICAjjvvPO49NJLmTFjxknXHzhwIKtWrSIyMpKPP/6YO++8k3Xr1hEYGMjWrVtJTk72zhsR6cF6cu4c9uyzzzJy5EgqKiraXP/jjz8mNTWV1NRU1q1bx1133aXcETnLlDsncrlcPPDAA1xyySUtjyl3RM6enpQ7rWXOihUr8Pf3JzQ0tM31dYwl0vl6UubAiblz3333MXfuXN577z0aGhqoqak55fo6xpLuyKcbzMaY14HZQIwxJht4GHACWJb1N+A64C5jTBNQC9zQ3E0/I8k/+ehMN9GqjMcua/eyxhhCQkKorKyksbGRxsbGNidtP+ecc1p+njFjBtnZ2R2uVaS36qrceea7y890E626528Xntby2dnZfPrppzz00EM88cQTbS7//vvv881vfhNjDDNmzKCsrIzc3Fz69u3b0ZJFep2uyp1lywef6SZaddGF+09r+dPNHYCnnnqKa6+9lg0bNnSkRJFerytyZ+w/x55RzSez45YdnbLdw3SMJXLmuuqzTvZPPm/5+dQTR5yexMfOb/eyFRUVrF69mqeeegoAPz8//Pz8TrmOjrGkO/LpBrNlWV9v4/mngae9VI7XuVwuzj33XNLT07nnnnuYPn16u9d9/vnnufTSSzuxOpGeqbfnzv3338+jjz6K2+1u1/KHDh2if//+Lb8nJiZy6NAhffgROQ3KndPPnXfffZfly5erwSzSQb05d4wxzJs3D8uyuOuuu7jzzjvbva6OsUQ6pjdnTnp6OrGxsdx1112kpKQwefJknnzySYKDg0+6jo6xpDvy6QZzV8l47DIqKyvbdcpUZ7Lb7axZswaXy8XChQvZuXMnY8acMB/+CVasWMHzzz/PF1984YUqReRsuOdvF3Z57ixevJi4uDgmTpzIpk2b2rVOawML2jrbQkR8w0UX7u+WuXP//ffz+OOPd/nFekTk9BweadzVubNmzRoSEhJIT09n4cKFjBgxglmzZrW5no6xRLqfwyONuzJ3mpqa2Lx5M4899hgXXngh9913H4899hi/+tWvTrqOjrGkO7J1dQHStoiICGbPns0nn3zS5rLbt2/njjvu4P333yc6OtoL1YlIT7FmzRo++OADxowZww033MDy5cu56aabTrlOYmIiWVlZLb9nZ2eTkJDQ2aWKSA/RkdzZuHEjN9xwA8nJybzzzjvcfffdvPfee94pWES6vcOfU2JjY1m4cCHr169vcx0dY4lIRyUmJpKYmMjUqVMBuO6669i8eXOb6+gYS7obNZh9VGFhIWVlZQDU1taydOlSRowYAcDTTz/N00+fePZIZmYm11xzDf/6178YNmyYN8sVkR7gd7/7HdnZ2ezcuZM33niDCy+8kFdeeQU4ee5ceeWVvPzyy1iWxVdffUV4eLhO3RKRdutI7hw4cICMjAwyMjK47rrr+Otf/8rVV1/t5cpFpDuqrq6msrKy5efPPvus5QxRHWOJSGfo06cP/fv3JzU1FYBly5YxatQoQMdY0rNoigwflZubyy233EJjYyMAixYt4vLLLwdgz549nHvuuSes8+ijj1JcXMzdd98NgMPhYOPGjd4rWkR6rJPlzoIFC1iyZAlDhgwhKCiIF198sQuqE5Ge6GS5IyLSUfn5+SxcuBCAhoYGbrrpJubPnw/oGEtEOs9TTz3Ft771LZqamhg0aFDLMZOOsaQnUYPZR40bN44tW7a0OldQRkZGq1dZf+6553juuee8VaKI9GCzZ89m9uzZLb+fLHeMMTzzzDNerExEeqr25s7RXnrppc4tSkR6lEGDBrFt2zbgxDlZdYwlIp1lwoQJrFq1qt29HR1jSXekKTJ8hN1up7y8nAkTJrS57OLFi/Hz82v3tmtra5kwYQKNjY3YbPonFxEP5Y6IeJtyR0S8SZkjIt6m3JHeSiOYfUT//v2PmcT9bAoMDGTr1q2dsm0R6b6UOyLibcodEfEmZY6IeJtyR3orfeUhIiIiIiIiIiIiIh2iBrOIiIiIiIiIiIiIdIgazCIiIiIiIiIiIiLSIWowi4iIiIiIiIiIiEiHqMHsIzIyMggMDGy50mhdXR3Tpk3jnHPOYfTo0Tz88MNtbuP9999n3LhxTJgwgSlTpvDFF18AR6406ufnR1FRUWe+DRHpRo7PncNcLhcTJ07k8ssvb3Mbe/bsYebMmfj7+/OHP/yh5XHljoi05mzkzsqVKwkPD2fChAlMmDCBRx99FFDuiMiJWsuc5ORkxo4dy7nnnsuUKVPa3IaOsUTkdLSWO2VlZdx8882MGDGCkSNHsnbt2lNuQ8dY0h05uroAOWLw4MEtVwT19/dn+fLlWJZFQEAA5513HpdeeikzZsw46foXXXQRV155JcYYtm/fzqJFi9izZ0/LlUaTk5O980ZEpNs4OncOe/bZZxk5ciQVFRVtrh8VFcVf/vIX3nvvvWMeV+6IyMmcae4AnH/++SxevPiYx5Q7ItKa1jJnxYoV+Pv7Exoa2ub6OsYSkdN1fO7cd999zJ07l/fee4+GhgZqampOub6OsaQ7UoO5NY+E0/ZHjY5st7zdixpjCAkJobKyksbGRhobGzHGnHKdkJCQlp+rq6vbXF5EfMcfv9b2qL2O+NGbi9te6CjZ2dl8+umnPPTQQzzxxBNtLh8XF0dcXBwfffRRR0sUkS7SZ8XWTtlu3pwJp7X86eaOiHRPu0eM7JTtjtyzu1O2e5iOsUS6r0ceeaTLt1tRUcHq1at56qmnAPDz88PPz++U6+gYS7ojNZh9mMvl4txzzyU9PZ177rmH6dOnt7nOu+++y09/+lMKCgoURiJy2u6//34effRR3G53V5ciIr1ER3Jn7dq1jB8/noSEBP7whz8wevToTqxQRHoSYwzz5s3Dsizuuusu7rzzzjbX0TGWiHRUeno6sbGx3HXXXaSkpDB58mSefPJJgoODu7o0OU5TcS21O4uoP1hJY04VrqoGcFvYAh04+4USODqa4MnxGIdmG26NGsyteaScysrKdp0y1Znsdjtr1qzB5XKxcOFCdu7cyZgxY065zsKFC1m4cCGrV6/mwQcfZOnSpV6qVkTOxI/eXNzlubN48WLi4uKYOHEimzZt6rI6RMQ78uZM6Ja5M2nSJA4ePEhISAhLlizh6quvJjU1tZMrFZEzdXikcVfnzpo1a0hISCA9PZ2FCxcyYsQIZs2adcp1dIwl0j0dHmnclbnT1NTE5s2beeyxx7jwwgu57777eOyxx/jVr37VJfXIEbW1tZQWl/L5O0spTy+kpqIagADLSSB+xLrDibZCcFc3Ub+vlPp9pVQuyyTqhhH4Dwrv4up9jxrM3UBERASzZ8/mk08+abPBfNisWbPYv38/RUVFxMTEdHKFItITrFmzhg8++ICPPvqI+vp6KioquOmmm3jllVe6ujQR6aE6kjthYWEtPy9YsIC7775bn3dEpN0SEhIAiI2NZeHChaxfv77NBvNhOsYSkdOVmJhIYmIiU6dOBeC6667jscce6+Kqeie3201mZia7d+8mNTWVkpKSYxdopUMaGBjIiMHDmBw7CueWahrzqil8fgfRXx9B4Bj9f+BoajD7qMLCQpxOJ3a7ndraWpYuXcoDDzwAwNNPPw3Avffee8w6aWlpDB48GGMMmzdvpqGhgejoaK/XLiLd0+9+9zt+97vfUVlZyaZNm/jDH/7Q0uQ5We6IiJyJjuROXl4e8fHxGGNYv349brdbn3dEpF2qq6txu92EhoZSXV3NZ599xkMPPQToGEtEOkefPn3o378/qampTJo0iWXLljFq1ChAx1idzbIsamszyM1bS3r6ekqK07DZy7HbG0nsD/37g93tj70hGmdQPwIjh+BwjqamxlBeXs7BgwcpLy9ny85tbGEbEyZMYGbycBq/KqLkrb3E9wnGERPY1W/TZ6jB7KNyc3O55ZZbaGxsBGDRokVcfrnnImB79uzh3HPPPWGdf//737z88ss4nU4CAwN58803dREKETkrTpY7eXl5TJkyhYqKCmw2G3/+859JSUk5ZoShiEhHnCx33nnnHZ599lkcDgeBgYG88cYb+rwjIu2Sn5/PwoULAWhoaOCmm25i/vz5gI6xRKTzPPXUU3zrW9+iqamJQYMG8eKLLwI6xuoMtbWHKCz6jJKSLygt3YzbXQGAzQYxsSdbKxvYRkMTNDQZwsLGMnjwxVx22c2Ul7tZu3Yt27ZtY+vWrRyMPMglw6cRsreJ0v+kEnvnOG+9NZ+nBrOPGjduHFu2bGl1rqCMjIxWr7L+wAMPtIxyFhE5E7Nnz2b27Nktv58sd/r06UN2drYXKxORnqq9uXPvvfdqpI+IdMigQYPYtm0bcOKcrDrGEpHOMmHCBFatWtXu3o6OsdrPsiyyqvJYn72cnaUHKKirooYQqhlDHVMxbgvTaCPIBBBT7WRQuZ0B9TB8eDj9xkWzdcdXDB0aRW1dFhUV2ykv30xF5XYqKrdzIOMp4uOvZN6873HOOefwzjvvkJ+fz3s1q1jgP5GodGjIqsSvf9dev81XqMHsI+x2O+Xl5UyYMIGtW7eectnFixef1rZra2uZOXMmjY2N2Gy62qWIeCh3RMTblDsi4k3KHBHxNuVO56p2udhYXsOXpZV8UZzL7hoXNZYfMNpzO/4EE3vzDcAfiDryVFKqH4OZxiLnMGbHhzLU6cDlqqG09CsOHXqdouIV5Oa+Q37+YgYNvI9vfesW3n33A/bs2cMnzi1c0TCJoK9yiVKDGVCD2Wf079+frKysTtl2YGBgm8EmIr2PckdEvE25IyLepMwREW9T7px9+fWNLC4sY3FhGRvKq2myDj/j6R6HWJX0M+UElVVhL3fj77IYlpjA+AGDqdtQTFV5PfUOQ+3ICA7F+pNeW09aTT0H6xo4iD/LUw7ibzNcFhvBjX2jOCd6DjExF1JTk0F6+p/IL1hM2v7HyS9YwhVXPENDQwPp6emsdqRw+d5QLMvS1EmowSwiIiIiImfKssDVAE31VBHAtuwKMoqrySypobq+CYfNRliAg1EJ4UxOiiQ21L+rKxYREREfVdXk4j/5pfwnv5R15dUc7inbcDPISmcEuxjnyGFyxDD2bTRkZXrmWh48eDALrlhAcImNktf34K5pwh7pT/Q3RuKXeGSkcZPbYntVDS9v2k5mRCxry6paXm9okD8/GdSXBTFJjBnzJH2Lr2XP3l9QWbmDLVsXMX/+U7z0Uh65NWXsqs0gLn8czj7BXbCXfIsazCIiIiIi0j71VZD1FRzaDEX7oCgVSjOwGqow7iYAAiwbwwgl2IqmwT2UDe7hrHRPoIYAABw2w5XjE/j+RUNJjtEBmYgcUdtUS1FtESV1JZTUllDVWIXN2LAbO3abneiAaBJCEogNjMVus7e9QRHpVvZW1/HPQ0W8lVdClcsNgNNYTLTtYUrTp0xkE1H+EQxI+i6Hsi9i6QcraWpqIjQ0lEsvvZSRI0dSvT6PovfTwA0BwyOJ+tpwbEHOY17HYTNMCgumwtQze+IQsuoaeCO3mNdzS0itqef2nRlMCgvi4cEJTI+exdQp77F9x3cpL99Eyu7bmDfv17z33iY2O9KZfqiccDWY1WAWEREREZGTsCzI2wEp70P6SsjZApbrhMUMUG85aMJOsKknlnJiTTkTbOncxqc02IPZEbOAf5nL+eCgk/9sOcR/U/J58usTuHBEvNffloh4j9XYSGN+AU25OTTm5tJUWIi7to6a6jLyS7MorS6miEoyG4tY/O9aKoMgN9KQGwV1/q2fdu4wDgZHDGZy/GSm9JnC9L7TCfML8/I7E5Gz5auyKv6Ukc+q0sqWx6aGOrmQZQyp+AdB7lr8/fswMPnnBAdfzAcffER6+lLAcxHF+fPn4+/nT/lHB6j64hAAobP7EzYvCWNre/qK/gF+/O/Avtyf1IdXcot5IiOPzRU1XLUlje/2j+Wng/oyccK/2JXyAwoLP6Wy6nf0i7icQ2UNbEvZwazJCZ2zY7oRn24wG2NeAC4HCizLGtPK8wZ4ElgA1AC3Wpa12btVikhPotwREW9T7ogvCqrOhqW/hJT3oCT9yBPGTl3cRDZZw1mSH8GexngyrD4QEM7F4/pzyeg+TB0QQkhTORTthcx1kLYUv+z1TM5/m8nOj3h47o/56aFz+CSliDtf3sTb353JxAGRXfZeeyPljpwpV5ObiqJaygpqqSmvp666kfrqJmrLa6jLL8VVUY67ogJ3RTnuqiqcjdU4Gyvxa6jEr7GSwNoigmryCbVchAIDgEmtvE5NuD9FSREcGh5F1tAI9kbWklOTS3FdMXtL97K3dC+v7XkNf7s/FyddzDVDr2FK/BTNh+pjlDlyMl+WVvHHjDzWlFUBEGS3cV18BPNsn2M/9Fvc7jpsNn+SBnyfpKQ7yczM49VXn6empobAwECuuOIKRo0ahdXopuTV3dTuKgabIfKaIQRP6XPa9Ththtv6xbAoPpKnMgt4KjOfv2UVsrqkkr+NTmbM6D+xZeutlJWtZ8joT8ldez6bsnZwvjWv1+eOTzeYgZeAp4GXT/L8pcDQ5tt04Nnm+24nIyODkSNHMnz4cLZu3UpdXR2zZs2itrYWt9vNddddxy9/+ct2bWvDhg3MmDGDN998k+uuu67lSqMpKSnk5OQQExPTye9GpFt7iV6aO4e5XC4mTpxIv3792ryy8auvvsrjjz8OQEhICM8++yzjx49X7oicnpfoxbmTnJxMcHAwTqcTh8PBxo0bT7kNy7K47777WLJkCUFBQbz00ktMmjRJuXM2NDXAng9h44tMy/j8yOPBsTDyCvL6Xsif9kTx1s4yrObJEM8fGsPvZiQxe3gcfo6jr2gfBGF9YdBsmP2AZxT050/Arv8Q+fkjPDv0Eh6d9gAvrs/je69vYekPLyDAqdPdveglekHunCxzQkNDMcbg5+fXZuYc1tOPsSzLoqq0mKriYqpKiqksKaaqtJj66irqquuoLqumpqKW+uo6mhrB1WgDnGAcYPwxttCjbmEYEwKEQHACnOTMcQsXxlZCYEA1Uf7VBFRkMDYuDKuomIaMDBoOHiSovJ4B2/MZsD2fmYA9Jobwyy4j4MpL2RfdwMb8jazLXcem/E0sTl/M4vTFTIqbxI+n/pjRMaO9uAelDS/RCzIHWs+dsrIybr31Vvbs2YMxhhdeeIGZM2eedBu94Rgrw7Jz3ZY0vmhuLIc5bHw7MZZvRFVxKPWHVFRswQ3ExS1gyOCfEBCQwJo1a1i2bBmWZTFw4ECuueYaQkNDcdc3Ufyv3dSnlWEC7ETfPIqAwRFnVF+ww85PBvVlbnQY96QcJKW6jis2p/Ly2IFMGvs3Nm66lpqaAwxO2knqgQnk5eXRt2/fM98x3ZhPN5gty1ptjEk+xSJXAS9blmUBXxljIowxfS3LyvVOhWfX4MGDWwLI39+f5cuXY1kWAQEBnHfeeVx66aXMmDHjlNtwuVw88MADXHLJJS2PHb7SaHJycidWL9Iz9ObcOezZZ59l5MiRVFRUtLn+wIEDWbVqFZGRkXz88cfceeedrFu3TrkjchqUO/DRRx+1Oy8+/vhjUlNTSU1NZd26ddx1113KnTNVVw4bnoOv/gbVBQC4bAHYJyyCsYvICZ/IE8v28+6/D+Fyl+G0G66dlMi3zhvIsPjQNjberM9YuP5FGLcI3rsbk/opDybXsSn+e2zPr+WDrTksmtq/E9+kHK035U5rmbNixQr8/f0JDW3ff7897RirqbGRvP37KMxIpyjzIPt3bmfHS8/QUFt71l7DafeDgEAKAlwUhNuoCwrDaUXS15ZIX1t//CtDqS+zgzuW2ppYDtUAjCa32o/ESZEMui2WIaMicRfmUbNxEzXr1lH91Vc05eVR8s9/wj//ScyoUdx4+7f47qXfIbv6EO+lvcfbe99mc8FmbvjoBhYOWchPpv2EIGfQWXtf0jG9KXPgxNy57777mDt3Lu+99x4NDQ3U1NSccv2efIxV1NDE4wdyeYUQrLIqwh127kyM5fZ+UZTlvsjeLX/G7W7A3y+eESN+TUzMhdTX1/Pmm2+yZ88eAM4//3zmzJmDzWbDVd1I0Uu7aMyqxBbiJOb2sfj1PXvzIU8JD2bZ1OF8b3cmHxeV87Vt+3l2VBLnjPojGzdeR3ziDvKK+rF79241mLu6gDPUD8g66vfs5sdOCCFjzJ3AnQDx8fGsXLnymOfDw8OprPTM9XLOf87plGK/vObLkz5XVVWF2+1uqeEwl8tFSUkJ9fX11NTUnPD88Z555hkuu+wyNm/eTG1t7THLW5ZFVVUV/v7HXrW7rq7uhP3RWn1tLeMNvlCHL9SgOrpUp+RO+W+2eu7PcrHhP59w0uday51Dhw7xySef8L//+788/fTTbWbO2LFjAaisrGT06NFkZWX1qNzxhRpUh+/W4UWdkjtjf7O6U4rd8fNZJ32utdyxLAuXy9Vm3hz2zjvvcP3111NVVcXo0aMpKSkhNTWVPn36tGzv+NzpLplzdB01FpRgoxQbpRhKsVGBoRFDA9CIoRGwACfgj4Uf4IdFGBZRuInCTTQWkbhxtnLWprOhjMTsD+l3aAkOl+dgtyo4iZyE+aQHT8EEx/LxslqWpK+iwQ02A7MSHVw52ElMYAk5u0vI2X267zCQ4NGPMH7bQ/hlrOLB8CCu52aeXbqTuOr9J90fXc1X6vCiduXO6WTOy/+7oVMK/ebvp570uZNlTlVVFQ6Ho925092PsdyuJqrzcqjMyaYyJ4vq/FwsV9MJy9mcgRhbKJY7BGNCMLYQsAVisztwhjgINDWEFmcSmLUXZ20pbpuFyxjqI8OpjoqiJtCPcncN7uo6cDVAdQOR1RBZDFCBM7KaqAH+hPUPJqRvEGCnvhzqyqC6wKIqz6KmooF96/LZty4fux+EDYCIgeEEXjIPc8k8HAcPEvjlWgI2bqAuJYWcH/0PB5/4E9VXXM7Y8eMZEjeET8s/ZVXFKt5Ne5evDn7FHbF3EOeMa/f+8oW/d1+owcs65bPO+g0TOqXYaVO3nvS543OnoqKCVatW8ec//7nlMbvdfsr86YnHWG4LPsGfdwigBoPdgnmmjmub6gnO2M+mA/8HeBrIhvNobPwaO3faqKv7hB07dlBdXY3dbmfkyJHY7XZWr16NvR4SNtjwrzI0BlrkTKxj394NsLf9dbV3f9xsQSOBLHX7862dB/gR1ZxTOp/ayCUMGbqOzZuTsdlsbW7nTGrobGdaR3dvMLc2wYnV2oKWZf0D+AfAlClTrNmzZx/z/O7du9v9DXZHnWr7ISEh2Gy2Y5Y5fJp6eno699xzDxdeeOEpt3/o0CE+/vhjli9fzu23305gYOAx2zPGEBISckIdAQEBTJw48ZTbXrlyJcfvs67gC3X4Qg2qo0t1Su6c7cbyYaebO7/4xS/41a9+hdvtxuFwnFYu/v3vf2fBggU9Knd8oQbV4bt1eFGP/rxjs9m49tprsdvtfOc73+HOO+885fYLCgoYNmxYyzYGDBhAeXk5Q4cOBVrPHV/OnHq3mx2VtaRU1bKvpo6vsnMpcAZS0HBi86ejbLjpZ6tgoKOUwY5Shlt5XHhgBYmpW7C5GgFo6DeappnfIXDE9Qy1B/LeG8t4b7ebnHLP85eN68uPLxlOUvRZGhU0aTw8N5ep5R9zoX0cKyvGM2XmeYT4H3t44it/775Shxe1K3e6a+Zcc801WJbFXXfd1WbmdNdjrIbaGtK3bCRt/VrSt2ykse7Y0ckx/ZOI7j8YtzuKnIPQVBODsXlG+trshr5DIkgaE03fvjbsX31K+Vtv0ZiZ2bJ+wKhRhF46n7D586mPj+CtvW/x2u5XKKotAgv6NoRzUcA0hjf2ozG3lJx9u2ksLSW/dCP52zbi9A9g6LSZjJp1Ef3HjMVms7NixQrGDZ9K5s4S9q7Pozi7itI0KE2z6DMonMmXJpE0ezbm1ltx19dT/t77FP3tb3DoEBF/+zvB551H31//ikv7XEp6WTr3r7yfA+UHeKLwCf42929MiJvQrn3nC3/vvlCDl/XYzzr79+8nLi6Oe++9l5SUFCZPnsyTTz5JcHD7/n/aE46x9lbXcf/uTLZUer7MnhMVyuUlh/jGnFkUF69mV8pvcDeW4HRGM2rU/yMm2lNfTk4Or732GtXV1URHR3PjjTcSHR0NgKuqgcJ/7KCpqgZHXBB9bx/DwHD/k5VwUqezP+ZYFr9Lz+UvmQU8Ywtlep/7sJd/SUhIKQEBezj33PtxOp2dWkNnOtM6unuDORs4+ly6RCDnTDe645YdVFZWdnootcVut7NmzRpcLhcLFy5k586djBlzwnz4Le6//34ef/xx7PaeOX+dZVmYigpqtmyhqaAQV2kprrIyz620FHd9PbhcWJYbXG5wuzH+/thCQrCFBGMPCcEWEoojPg5nQgLOhH44YmMwHfyWSXqtTsmdxMfO7/LcWbx4MXFxcUycOJFNmzad1rorVqzg+eef54svvuik6nout9tNRUUF5eXlVFVVUVlZSVVVFTU1NTQ1NdHU1ER+fj7Z2dk4HA6cTid+fn74+fkRGhpKREREyy0oSKeA9lCdkjsZj13W5bkDsGbNGkJDQ6mtreXiiy9mxIgRzJp18lHQlnXi8WZ3uqhKRZOLdWVVrC+vZn15NVsra6h3H/2enNDQRKDNkODvR7y/k3g/B/H+TmKcDgJtLqyGPFz1h7DqM6mry6WqoZxaVwMN+FGPPxWEU0o0JURR0nyf5YogvzGI4TkbueLgv4hu8ny1uSVqMDsHxBIRlkNQwaMUHXyK1/fezNaCIQAMjzM8fMVozhmadHZ3RMIEuPAXsPRhHgl4jQuqx7Iju5yZg6PP7utIR5313Lnnb57BMl2dO2vWrCEhIYH09HQWLlzYZuZ0p2MsV1MjaRvWkbJ6GQd3bMXV2NjyXMyAZPqPHku/EWOwSCB1fTmZu0ta5lP3D7IzaGIsA8fHkjgiEndGGsXPP03ZJ59gNW/H0bcvEdddS/jll+OXlERxbTFPp/yTtz9/m6pGzzyqwyOHc9Oom7gk+RICHYEtr9/U2EjO3hQytm8hY9tmCjPSSfl8BSmfryAkMoqR58+hMSya6IQQohNCmDhvAEXZlez9Ko/dX+aSl17OR89sJ6Z/CNMuH0jyuBgiv7aI8IVXU/bW2xQ99RTVX3xB+hVXEv+znzHw6qt4/bLX+cUXv2Bp5lLuXno3L8x/gRFRI7z3DyKno1M+61x0oefMmK7MnaamJjZv3sxjjz3GhRdeyH333cdjjz3Gr371qzbX7e7HWI1ui79mFvDHjDwaLIsEfyePDUvk4ugwVq48SNr+P3Dw4LMAREaew+hRT+DvHwvAnj17+Pe//01jYyPJycksWrSo5VjHVdVA4f/toKnA01yOvXMs9hC/Tn8/xhh+6AgmLzSUtyor+U5jDX/K/hqOIX9nwICt5ObmMGDAWf681I109wbzB8C9xpg38EwAX95d5+g5lYiICGbPns0nn3xyygbzxo0bueGGGwAoKipiyZIlOBwOrr76ai9VevY05hdQt2sndTt3UZ+WRkNWFo0HDxJXU8PBs/g6xunE2a8f/iNGEDByJAGjRhIwciSObjxZvnS6Hps7a9as4YMPPuCjjz6ivr6eiooKbrrpJl555ZVTrrd9+3buuOMOPv7445ZvlKV1tbW1ZGdnk5eXR2FhIYWFhRQVFdF41AHgyRQXF7e5TLAJIM4RQbwzinhnJH2DYnGGBWAP9cMe5ocjPghnnyCsAHC7XDj9A7B1gwNm6bm5A5CQkEBlZSVxcXEsXLiQ9evXn7LZk5iYSFbWkbNos7OzSUhI8EapHXagpp7Pisv5rKiCdeVVNB3XIx8eHMC40ECGBwVQn57KdTOm0j/AD5sx1DcUUVb6FSWlaykr2khNzX5aG9RljB+Bgf0ICEjE39+O02HH4XDjcDbgoorK9J0kbfwXYdX5AKwPH8svB36XTeGez5Z2q4nEzIMUpzpocjkIctRw3bAPOL/fWmqzLL4qGUpkxAxiY+cRETENm+0sHEbMvAc2PMeA8izm2TaRV3HqUVfiVT02dw7nRWxsbLsypzscYxUfymLH8s9IWbWM2srma2gYQ78RoxgydSZDp80kICSa3V/msn5xNhVFBwDPSOXkMdE0hhRz2dfOw+Fnp2bTJvLu+wXVq1a3bCfkgguIuOFrhMyahbHbqWyo5B9bnubllJepbfKMjJ7WZxrfGvMtzkk4p9Uv/RxOJwPGjGfAmPHMuvFWSvNy2N3cYC7Pz2PDB/8GY2jK2MeUK64hLnkQMYmhxFwXytTLB7JrdQ5bl2ZSlFXFkmd3kDQmmvO/Nozw2ECibvoGYZfMI/ehh6lasYLcn/6Uuh3bif/Zz/j9Bb/nx6t/zH8P/pfv/Pc7vHHZG/QN6d3zpPqoHps5iYmJJCYmMnWqZzqf6667jscee6zN9br7Mdb+mjru2nWQ7VWejLipbzQPDUkgzGGnsbECt/UkBw/uBGwMGnQ/yUnfxRjPccnmzZv58MMPsSyL8ePHc8UVV+BweD53tDSX873bXD6sLqWEH67OIWtSIGtjHDwedyH/U/8mwSFlpG98l74Bd+KM652Dfny6wWyMeR2YDcQYY7KBh/FMM4dlWX8DlgALgDSgBritayo9+woLC3E6ndjtdmpra1m6dCkPPPAAAE8//TQA99577zHrHDhwoOXnW2+9lcsvv9ynPvicjOVyUbd7D9Vrv6R202Zqd+3EVVjU6rLuwECCBg3C0bcPjshI7BERLTdbYCDYbGCzYex2MAarvh5XVRXu6mrcVdW4KytozM2jMSeHxpwcXCUlnisUZ2RQ+cknLa/j7NeP4HNmEjxzJkEzZuCIivLW7pAu1ptz53e/+x2/+93vqKysZNOmTfzhD39oaS6fLHcyMzO55ppr+Ne//sWwYcO8XrOvKysrIz09naysLLKzsyksLGx1ueDgYCIiIggNDW053S3Q4Y+pckFZE+UHiwht9Kehup4mXDQaF424qDF1VJo6qkwdlaaWauo40JjHgcY8APzKHPTPjiHZFUOiOwYnng9tNU2VFNVlc6gmlUJ3DvZAJyFRfQiJSiAovB9RiaMICA7D4WcnPDaQiPggAoJP/3QvaZ/enDvV1dW43e6Wnz/77DMeeugh4OS5c+WVV/L0009zww03sG7dOsLDw33yoioZtfW8lVfChwVlpNbUtzxuNzAtPJjp4cFMCw9mSngwkc4jH8lXpO8gtHYjqVnLKC39kurq1GO2a4yD4OAhhIaMJjR0FCEhIwkMHIC/fzzGtHJWVkk6fPwApH7m+T12BMx9hPFD5vFgZS2fl1ayLKuElC8LyS8LAMDqE0j/EU6GJV5ERH0TVZVbqa5Opbo6lexD/8LpjCI2Zi7x8VcQGTmzQyPIy2oaCAtwYjvne/Dxj7nF/il/2XAJCycmnva25PT11tw5nDmhoaHtzhxfPcayLIsDWzey4YN/k52ys+XxmAHJjL1wHsNnnk9wRCTVZfVs/vQgKWv20NTgyduwmADGXJDIyJl9CQhxsnLlSuo3byD76aep3eg5i80EBBCx6HqivnkLfon9AKh31fPGrld4bsdzlNWXATArcRbfHfddxsaOPa36I/skcM7132DmdTeSs3c3Wz/7iD1frmb3FyvZ/cVKksZN5Pyv30L8oCH4BTiYOG8AY+f0Y9fqHNYvPsDBncVk71nH5EuTmDw/CUdsLIl/fYby/7xL3iOPUPra6zQeyqHfE3/k8fMfp6qhirW5a/nZFz/juXnPYbfpC3Zv6q2ZA9CnTx/69+9PamoqkyZNYtmyZYwaNQroucdYb+eV8MC+bGpcbhIDnDwxfACzojwjyKur09m+407gAE5nFGPHPEVk5IyWdb/88ks++8zzmeWCCy5g9uzZLZ8z3HVNFL2460hz+dvebS4D+CWE4LDgt9tq+fo5waSEO3iv5Dt8zf9xauuW0zw9eK/k0w1my7K+3sbzFnCPl8rxqtzcXG655ZaWUW2LFi3i8ssvBzynCpx77rldWd4Za8zLo2rlKqrXrqXmq69wlR87A60tNJSA0aMJHDMa/+HD8UtKwtm/P19s3crsOXPa9RqVDZXkVedSUldCaV1p871FZQM0uqNpdI/Aqq0lMK+c6MwK4g9VE51VQURmGRw6RNnb71D29jueeoYNIeKS+URedtnZ3hXiY3pz7pzKyXLn0Ucfpbi4mLvvvhsAh8PBxo0bvV2ez2hqauLgwYOkpaWRmppKUdGxX5bZ7XYSEhLo168fsbGxLbfAwEDc9S7qM8qpTy2jfmsZjbnVzWvZ6EvzhWnsBkdUgOcWHYg9wh+3001pcS552WkczEyjsKKUOqeD+kB/Gvxgvz2P/fY87G5IaohgvDWYaEcEA0JGMiBkJC7LRV5NOnuzN5CWduQA1Tj6Yfcbhd1vFMbYiUsKxURYNExvwi/Qpz8+dDu9OXfy8/NZuHAhbrcbt9vNjTfeyPz584GT586CBQtYsmQJQ4YMISgoiBdffNHbZZ9URZOLDwrKeDuvhHXl1S2PhzlsXBgVxryYcOZEhR7TUAZwueooKfmcwsLPcFufsGXrkavL22wBRIRPITJyBpGR0wkJGY3d3o45Bhvr4Isn4Is/g6se/MM8U1JMuR3sDvyB6eHB7N9bTObSLGwNLkKDncROjGN3MGwDthXGMThwOrcNjmB+0CHqylZSUPAxtbUZ5OS+RU7uWwQFDaF/4s306bMQh6P98zP/eWkq72zKZkr8IP7PsjPNtocDWYdodLlx2jV9WWfrrblzOHMAGhoauOmmm9rMHF/jdrnYu/ZzNrz/DoWZGQA4/QMYce4sxl50CX0GD8MYQ1VpPavf3EfK5zm4mjyN5cQRkYybk0jS2BhsNk/Dpm73biL+8hSZKSkA2MLCiPzGjUTdfHPLIBvLsliWuYzfb/g9OdWeWQsmxU3i/sn3MzHuzM48MM0jrfuNGIVj4DD8ivPZsfwzDm7fwsEdWxk960LOveFmQqNicDjtjL+oP0OmxPHlf9LYty6f9R8eIGt3CfNuH01IZAAR116DX3IS2XffQ9WqVWTefgcDXnyBx2Y9xjXvX8PG/I28nPIyt43pMf3LbqG3Zs5hTz31FN/61rdoampi0KBBLZ9detoxVnWTi5+mZvNWXikAC+Mi+H/D+xPq8HyhU1y8mp27vk9TUyWQyNQprxIY6Pli2bIsli9fzueffw7A/PnzmTHjSOPZ3eCi6KVdNB6qwh4d4Gkuh3q3uQzgTPB81gltgl/uqOO7UwP5MHIqE6zhDIvbC5Fn7xoa3Y2OEH3UuHHj2LJlS6tzBWVkZPDEE0+ccv2XXnqpE6vrmMbcXCo+/ZTKTz6lduvWY55zJiQQfO45BE2bTuC4sTj79299buTjRshYlkV2VTa7i3eTVpZGVmUWmZWZZFVkUVpf2v7i+jXfpoFxWyTn2xmXYTEmw2JktoXfvjRK9j1NyVNP40oI5P3PJxC04BKGDZ3BgNAB3WruR5H2mD179jET/J8sd5577jmee+45L1bmexobG0lLS2PXrl3s3bv3mOku/Pz8GDhwIElJSfTv35++ffu2nN4F0FRWT93mIgp3FVOfUeG5vPJhDoNfQgh+iaHsr8xm3NwpOGKDwEDJoSz2bviK/f9dT17aPqzmEaCHhcfGE9dvIEF9+lHhNuQUl1FcXkZ6QBnp1iaCGqIYXD+IwSaUaIeNfsFD6Rc8lAqrmn1120kvWIPVdIimpkNYjetxBMwkP2Mkxhheffgrzls0lKFT4jt930rPN2jQILZt23Zan3eMMTzzzDPeKrFd9lbX8Vx2Ie/klVDb/HccaLNxWWw41/eJ4pyIEJy2Ez/DlJdvIjf33+QXfITLdaQhHRQ0mNjYeURHX0B42DhsttO8aE3Wenj/Hija5/l9/I1w8S8hJK5lkYLKOn78znZW7vWcWXHl+AR+ddUYwoOc5NU38viXG1ntH8b+2np+kZbP43Y/7kj8Bt+dcj/2+v3kFywhN+dtamrS2LvvYdL2/57ExJtJGnAnTmdYmyX2jwqiqr6JlZmwwTmcc+wpTHdtYfTDwQyPD+WRK0czOSny9N63SBsOZw6cOCerrx9jud0udn++krXvvEZ5gWeqm+DIKCYvuIpxcy/Fv3lu0trKBjYsyTimsTx4YixTLksmJvHI+23Izqbwyb9Q8eGH+AO2kBCi77iDyJu+gT0kpGW59PJ0Hlv3GGtz1wIwLHIY90+6n/P6nXfWj4H8Q8OZfcVVzLju66x79y22fPwhu1YtY+/aL5h21XVMu/o67A4nweH+XHzbaEbO7MvSF1PITSvnzd9sYO5to0gaHU3Q5MkkvfE6mbffTu3WrRy6/wckPv0Uj577KPcsu4dntz3LFYOvICZQ0yKKd0yYMIFVq1a1+7NOdzzGSqup47YdB0itqSfQZvjN0ES+3jeqJSdyct5mz96fY1kuYmPnUVx01THN5U8++YR169ZhjOGqq65iwoQJLdu2mtyUvLqbhowK7GF+xN7eNc1lAEd0IMbPjtXgYnKpi5szGnh5oD8vur7Lb+0/pLDwMxISruuS2rqaGsw+wm63U15ezoQJE9h6XPP1eIsXLz6tbdfW1jJz5kwaGxuxefmCdq6qKioWf0T5u+9S2/xhDsD4+xN8/nmEnHc+wefM9DSU2/EBpcpVxX8P/pfthdvZXbyblJIUKhsqW102wB5AQkgCUQFRRAZEttyH+YXhZ/PDaXfitHluFhZ1TXXUueqoa6qjtqmW0rpS1tYUsLg8j8iUbEZvLWPqXjcJObXw6lqaXl/LZyMMX50TRfSUmUzpO5WpfaaSHJashrN0Cz01d7zB7Xazf/9+du7cyZ49e6ivP3L6e3x8PEOGDGHo0KEkJiYe01AGaCqpo2Z7IbW7imnMOiq/DDj7hxIwOAL/IRH4J4VhnJ59V7Eik+KqHPb+93P2b/yK0twj1zwxNht9hwyn/+ix9B81lj5DhhMQEkJ1eT371udTvrkA24EKIhxV1AUdoi6wgBr/Enb4l1I7YASzp51HaG4T1V/lEFYdzJTAmZxzyaUU9Slg3WfvUHIoC1fjJ/QdVkhN43RqyuCz53ZRV9XI2Nk6lV1OT0/KHcuyWFFSyT+yCllZeuRv+dyIEBb1ieLy2HCCHSeegl1fn09u7rvk5r1DTc2RU+9DQ8cQF3sJBw5EMHPGjR0rqqEGlv8avvorYEHMMLjiL5A085jFvkgt4v43t1BU1UB4oJNfXz2GK8Yfmce6j7+Tq0w9v58xik+Kynkuu5Cvyqv508F8XjpUxL1J8Xwr6T4GJt9LYeFnZGW/THn5Rg4efJZDh15nYPLd9Ot30ylHWg+IOjI/4efucZxjT2GiLZUPms6hsq6Rsf3CO7YPRI7SEzLHsiwytm1m9asvUtQ8Yjmybz+mXHENo2ZdiMPpmcLK1ehm+4psNi45QEOdC4DBk2KZetlAovsdaRi7a2sp+sc/KHnueazGRozTSdWsWUz49a9wRB75UqemsYZntz3LKymv0GQ1EeYXxvcmfo/rh13f6dNLBIaEMvvm25lw8QI+f+0l9q1bw5dvv0rqhrVcevcPiE0aCEDiiCgW/XwaS19KISulhMVPb2PW14YxdnYi/gMHMuC55zj49RupWrWK3Icf4fzf/Jo5/eewImsFz+94ngemPdCp70N6p56QO6dreXEF303JoKLJzbCgAP4xJokRwZ6LfFqWRcbBv5Ke7mmkJyXdxeBBP2RV8zzvRzeX7XY7119/PSNGHLkYp+W2KHlnH3V7S7EFO4i5YyyOqADvv8lmxmZwJgTTkOGZ7/7OtAaW9HWQFTCANdYs+pSsVoNZulb//v2PuWDN2RQYGNhmsJ1NlmVRt3MnZW+9RflHS7BqPKd5moAAQi64gLD5lxAyaxa24LZPo6xoqGBj3kY25G1gfd569pXu81xf9ihRAVGMih7F8MjhJIUl0T+0PwPCBhAbGNv+Rq/bDTXFUJUHVflQVQBN9WBFQ2AwjOtL44hqDtSUkrY9m6DUBmL31nJeisV5KcWkLV7MR9OW8OtRhuTgBC4eMJd5Q69iWOQwNZvFZ/Wk3PGW8vJytmzZwubNm6moqGh5vE+fPowZM4bRo0cTGXniiDt3fRO1O4qo3lRAw4EjUwIZp42AYZEEjIkhcHgktqBj5zmuKCpg9+crSflkMZvLSloeDwgNY/CkaQyeOp0Bo8e3jFpyNbrJ2FHE7rX7ydxVgtU8ktLutDFwVDKDJ04lKjmAjVu+YsOGDaRl7iYzbz8LFixg/E+mUfVVLhX/zaRhTxnhBwL52h2PcqBwO8tf/Du5+zbhH57O1MseYOPHBax+Yx+RfYNJHK4RhtJ+PSF3LMvi46Jy/t+BPPZU13le22ZjUZ9Ivt0/liFBrR/0VFTsICvrRfILPsKyPKdP+vnF0bfPQvr2vZbg4MEAZGSs7FhhmV/Bu9+F0gNg7HDu9+GCn4DzSD1NLjd/XprKMyvTsCyYMSiKP39tIn3CW6/ZYTNcHhfB5XERbCiv5jf7c/iqvJpf7c/huexCHhmSwJVxC4iPv4zy8i2k7f89ZWXrSE37LVnZ/2TE8N8QHX1+q9s+usG8z/LM7zrEHALgpwtG4ufwnQNn6b66e+YUZKSz6l/Pk7nTM1AnNCaW8752MyPOuwBbc5PXsiwObCtizb/TqCj0XExrwOhozrlm8DGNZYDK5SvI/81vaDzk+VsLu+IKYu+7jy/TUo9pLq/NWcsv1/6SQ1WHMBiuH3Y935v4PSIDvPv//Ig+fbnihz8la9d2Pv3bkxRmpPPKT3/AzOu+zrSrrsNmtxMU5scV945n48cZrP/wAKvf2EdtVSNTL0vGf9Ag+v/j7xy89TbK//MfgiZP5p4597AiawVv7X2L28bcRlxQXNuFiJyG7p47p8OyLP6eVcij+3NwA5fFhvOXEQNavmC3LBd79z3KoUOvAIZhwx6mf+LNx6x/dHN50aJFDB8+/JjXKP80g9qthRg/OzG3jfGJC+j5JYS0NJgD3HBHajWPjQ3jTb7BuSUPMcZyt35djB5ODWY5a6ymJio++ZTiF56nPmV3y+NBU6cSseh6Qi+6CFtQ22GQU5XDiqwVrMhawaa8TTRZR+awceBgUp9JTIybyOjo0YyKHkVcUFz7m7gN1ZC3E4r2QnEaFO/33Jekg6vhlKs6gWHAsGBgAjQOtVOSFkRJejBD8mzc94Gba7+E1y84xD+qX+Yfe/5FkmVnYeAAruk3m8hBcyB+LNj1ZyfSnbjdblJTU9m4cSNpaWl4poiDqKgoxo8fz5gxY1q9srNlWTRkVlL9VS61O4uwGj2nqRqnjYBR0QSNi8F/aCQ2v2NHAbmamti/8Su2/XcJmTu3tzweGBbOiHNmMXT6OfQbPgqb/ch6VaV17Fx1iJQ1OdRWeqbosNkMyeNjGDatD0ljonH6H1n+0ksvZcqUKXz22Wekpqby3nvvkZ6ezmWXXUb82FjK3k+jbncJJf/aw4AFI7jpsSf58I+/oTAzg71f/oMJc7/D1qX5fPHWPhb9fFrLPI4iPZllWSwtruD3B/Jaroje19/Jt/rFcFNC9AnzKnvWcVFUtIzMrBcpK1vf/KiN2Nh5JPRdRFTU+dhsZ/i5wNUEqx6Hz/8AlhviRsNVT0O/Sccsll9Rx/de28L6jBJsBu6fO4x7LxyCvZ1/v1PDg3l34hBWlFTy2/RcdlbV8p1dB3knupTHhiXSL3wikya+SnHJKvan/T+qqveyddutJPRdxNChP8PhOPa04MTIwJaf0w43mG05TB8YxbxRmoJHereGulq+fOtVNi/5AMty4x8czPSFX2PiJZfj8DtyWnhFUS0rX9tLVornS+jIPkGce91QksYc+7mk8dAh8n79G6pWrADAf9gw+jz8EEGTJ3sWSPNcTLSioYI/bvwj/0n9DwAjokbwyMxHGB0zurPf8in1Hz2Ob/7+aVa/8iLb/ruENW/+i8yd27j8/gcICgvH2AxTLxtIcIQ/K1/Zw4bFB6irbuT8RUMJHD+ePg8/RO5Pfkreb37DoCn/4aIBF7Escxkf7P+AO8be0aXvTaS7anC7+d+92byZ58mfHyXH86PkPtgOX5DP3cCulB9RULAEY/wYPfoJ4uMubVn/6OayzWZrtblctTaHqlXZYDNE3zQSv8RjP0t0FWfCsV/eXRkYwHOVpRSFRvNZ02SmV6UQFjqmi6rrOup0yRlz19VR/u67FD//Ao3ZnuHF9ogIwhcuJOL66/AfNKjNbWRVZvFR+kcsy1zGnpI9LY/bjZ1JcZOY1nca0/pMo2x3GRfPubh9hTXVQ84WOLQZcrdCztbmuQit1pcPiIDQPhAS33yLg4BwcAY234LA4U/Krl2MGj4Up6uBeHcjsVUVlK/aTNEnO0ksqud//+2mON7ipdmGdYPgz3UH+GtqOvO3PsWNtS5Gx0+CgefDiCsgtvtdEVakt2hsbCQnJ4dnnnmG4uJiwHPK28iRI5k8eTJJSUmtnppmNbqo2VZI1dpcGg9VtTzulxxG8OR4AsfGYAs48X+/lcVFbF/2KTuWf0p1qeeDmt3pZMiUGbgiY7j8G7dgP2q6DcuyyN1fzvblWaRvLWoZrRzdL5iR5yQwdGo8QWEnn5ssNjaWG2+8ka1bt7JkyRK2b99OdnY2N910E9HfHEXlskwqlmZS/lE6YRcncd0vfs0L//s9CjPSien/KSGR0yk+VE3+gQr6Dtap7NKzbSyv5pG0Q2ys8JyVFe/n4L6keL6REI1/azlgucjP/4gDGU9TU7MfALs9hH4JXyMx8RYCA/udncJK0uE/d0L2BsDAeT+A2T8Dx7F/++sPlHD3q5spqqonLtSfJ2+YyMzBJ34x1hZjDBdGhzE7KpRXcor51f4c/ltcwZfr9/DzQX25rV8MMdGziYo8j8zM50g/8CQ5uW9RXPI5Y0b/mYiIKS3bCvZ3EBPiR1FVA7mWp5YYynnwspE6+0t6tfTNG1j6/F+pLCrEGBsT51/BzOtvJDDkSGPF7bbYsSKbr97fT1ODG/8gB9OuGMjoWf2wH3WRTMuyKHv7bQoeexx3TQ224GBivncvUTfdhDluCq/V2av55Ze/pKC2AKfNyV3j7+LWMbfitB17dlVX8QsIZO4ddzN02jl8/Mwfydq1nVd/9gOu/NHPiR/oOQNk1LkJBAQ5+fT5nexYkY1/kIPpVwwi/KqrqF79ORVLlnDoxz/m6se/w7LMZSzev5jbx9yuzBE5TVVNLm7fmcGq0koCbYYnRyZxZVxEy/Nudz07dn6foqKl2O0hjB/3DyIjpx+zjQMHDpCZmYnNZuNrX/vaCc3l2l3FlH3g+QwVec1QAob5zlmThy/0d1j4eYlMXvohn46Zzmdcyr3l29VgFjkd7vp6Sl95leIXXsDV3HxxJg0g+vbbCb/qKmz+p74gTUVDBZ9mfMri/YvZXLC55fEgRxDn9juXOf3nMCtxFuH+RxoXK/esPPkGG+vg0EbIWAMZn3sOtprqjl3G5oC4kZ7RPdGDm29DIGoQ+Lfv27D8wihiB59DXnkdOeW15DbUUjBjAVVjakhc8xmTVr9HdH45P3oTdg+L580Lm9gdUcwHoSF8EArnVu/ke59/wehlj1IeMojKgQvwn7iI6ORxGgUo4gOqq6vZsGED69evp6Z5ip/w8HCmTZvGhAkTCD7J9D6uigaqvjxE9fo83DWeMy9swQ6Cp/YheGofHNGBra6Xn57Ghg/+zb51a1ou1hfVrz/jL17AqFlzCAgOYeXKlS3NZcttkbGzmM2fHCQv3TPdhrEZhkyOY+ycRPoODm/3gZIxhokTJ9K/f3/efvtt8vPzeeGFF7j55puJn5uEIyaQkjf3UvHfg0SGD2PIgoXseftf7P58OSPOH0FVaQAZO4rUYJYeq6C+kV+n57RcDT3Kaef7A+K5pV8MgfbWGstuCgo+5kDGU1RXe0YEBgQk0r//rST0vR6HI+SEdTps25vw0Q+hoQrC+sHCv3u+wD6mHouXvszgNx/tpsltcc7gaP7y9YnEhJzmRQOPYzOGb/aLYV5MOD9PzeajwnJ+lnqI1aWV/HnEACKcDpKTv0tMzIXs3v0AFZXb2bzlJkYMf5SEhEUt2+kfFURRVQMNOGmw7PgZF2Piu25eRZGuVFtVybLn/sretZ8DEJc8mIvvvJc+g4ces1zxoSpWvLKH/AOe07OHTInj/EXDTvhSuTE3l9xfPEj1mjUAhF58MfG/+AXO+GOnhKhrquOtkrf4fJnndcfHjufRcx5lUETbg4S6QtK4Cdz0uz/zwR9/S27aXt546Mdcctd9jDhnFgCDJsZy6Z1jWfLsdjZ+lEFIhD+jz+9Hn0cepmbTJuq2bWfs5hIi/SPZX76f3SW7GRU9qovflUj3UdTQxDe272dbZS0xTgevjh/E+NAjZ6q7XPXs2Hk3xcUrcTjCmTjhJcLCxh2zjS+//JLMzEyMMa2OXG7IrqTkjT1gQdjFSQT72MXFnfGeC69jgS3EiV9iKEnFuUQ2lpLv7MvS4gxu74WXqlGDWU6b5XJR/sGHFP7lLzTl5gIQMGoU0XfeSejFczH2k1/0wbIsNuVv4o29b7AicwUNbs+0FIGOQC4acBGXDryU6X2n43+Ki8IcoywL9n0C+z71NJWPbyjHjoTEKZAwERImeBrLzvYduLjcFgeKqknNryS1oIrUgirSCqpIy6+h8dOlra/kPxb/OcNZuH81N+xdysh9h/jRgUBeGHcxKyfV4oxcz5ogWBMUyAXV9fygNJPBO56GHU+z1hrNF5HX4hp2CROTYpiaHEVUcNdcGVWkN6qurubLL79k/fr1NDZ6ppkICQlh/vz5jBw5EvtJsq2puJbK1dlUb8qHJs8oYme/EELOSSBoXGzLhfqOdviCPRs//HfLNBg2u52hM89nwsWXkjhq7AlNYrfLTeqGfDZ/lklJTjUA/sEOxszqx5hZiYREdrxhFBMTw2233cYbb7xBRkYGL774IjfffDP9JvTDXdtE2fv7Kf1PKuHTogiKOofKglUc2LIY47yOoqMvVCjSQzS6LV44VMjvD+RR5XLjZwx3DYjj+wPiWr1wn2VZFBevJG3//6O6eh8AAQH9GJh8L336LMR2NkcANtbBxz+Gzf/0/D7qKrj8zxAUdcxitQ0ufvqf7by31XNR0O/MGsT/XjIcRyuN8Y7q4+/k+TEDWVxQxg/3ZvJJUQXzNu7jH6OTmRAWREjIMCZPfpu0tN+Rlf0Su/f8lMqq3Qwd8nNsNgcDooLYklkGgJ/xXJSMwj2ez2wivUjWru0sefqPVJUU4/D359xFNzHp0iuPmQ7LcltsW57F2vf2426yCI7w54KvD2Pg+NhjtmVZFuXvvkf+b3+Lu6oKe3g48Q89SNiCBSd8tthbspcHVj/A/sr9OGwOvjfxe9wy6pZOv4jfmQqJimbRI4+x7Pm/snPFf/noyf9HfXUV4y9eAEDyuBguuHE4K1/dy6rX9hIc4U/y2BjifvgDch74CSV/eYaLH57FW5nv82XOl2owi7RTZm09N2xLJ722nqQAP94YP5iBQUeOQVyuOrbv+C4lJZ/jdEYyccLLhIYe+/e1efNmPvvsMwCuvvrqYy7oB+Aqr6fonylYjW6CpsQTemH/zn9jp8nYbZhAB1ZNE4FjY7AsCxswvTSVT+Km8WZ5X27v6iK7gBrMPiIjI4ORI0cyfPhwtm7dSl1dHbNmzaK2tha32811113HL3/5y1NuY+XKlVx11VUMHOi5qu4111zDQw891HKl0ZSUFHJycoiJielwnVWrV1Pwhz9Sv89z8OQ/YgRxP/wBweeff8oRczWNNSw5sITX97zuuVAfYDBM7zudKwdfydwBcwlytmOydsvyTHux+0NPUzl/57HPx42G5PM8t6RzILj97zW3vJZtWWVszSpnW1YZOw6VU1Xf1OqyEUFO+oYHkhAeQJ/wAPqEBRAe5CQ0wEGov5PQgFlQeDvup/5A6MZ13LfpY+51TSHr7mf5oOpjvir6gFXBsDqoH3Oqo3ikKIWZ7GJm2S6y1/2Vp9Ys5F73LKYMjGP+mD7MGx1P3/DWRz+KdNTxuXOYy+Vi4sSJ9OvXr80rG7///vs8+OCD2Gw2HA4Hf/7znznvvPPOau50tpqaGtauXcu6detoaPB86TV06FDOPfdcDhw4wJgxrZ/e1JhXTcWKLGq3F3pm3jEQODqakAsS8esf2momWm43+9Z9ybr/vEFh85Xg/QIDGTf3UiZdeiWh0SfuJ7fboizD4rXl6ygv8Mz7GhLpz4S5Axh5bl/8WpluoyMCAgL4xje+wTvvvMPevXt57bXX+Pa3v03EzASaimqpWpND3E4bMYnnUlnwJfVVmfiFFZO5C1575CsSR0SRODySpLHR2HVxLjmJ1nInOTmZ4OBgnE4nDoeDjRs3nnIbe/bs4bbbbmPz5s385je/4X/+538Azlru7Kys4fu7M0lpvoDfxdFhPDqk3zEHUEerqtpHatpvKSnxjP7z9+9LcvLdJPS9DpvtLH9RXHIA3vom5G0Huz8s+H8w6RY4Lm/yyuv49ssb2XGonCA/O7+/bjyXjet7dms5yuVxEYwNDeTbuzLYXlnLlZtT+f3w/nytbxQ2m4Nhwx4kJGQEe/Y+SHb2yzTUFzJ69J+OudBfC1djp9Upvc/JMic01PP/aT8/vzYzpzOPsSyXi89fe4n1H/wbLIu+Q4ez4Hv/S0R8n2OWq6loYNk/U8jc5ZlCa9T5CZxzzRD8A4/9DOCqqiLvoYepWLIEgJALL6TvLx/BEXtiE/rV3a/yxKYnaHQ3EueI46n5T3WrRqvD6WTed75PVEIiq199kaXP/ZWGujqmXnENAKPP70dVaT0bl2Sw9MUUvvaLaYRdcQXF//wn9Sm7mfNVDW8lwOb8zTC2i9+M9Cit5U5ZWRm33nore/bswRjDCy+8wMyZM0+6DV88xkqtruO6rWnkNzQxOiSA18cNJs7/yBfobnc927d/h5LSL3A6o5g08RVCQo4dmZySksKHH34IwJAhQxg/fvwxz7sbXBS9nIK7sgG/geFEXj3Ed6ewaZ55NXB8LNXNg5PGFJezLLaBHa4B5NY10Degdw0YVIPZhwwePLglgPz9/Vm+fDmWZREQEMB5553HpZdeyowZM065jfPPP/+EhtDhK40mJyd3uDZbcTFZd99D1fLlADgS+hJ3332EXXEFppW5Bw8rrCnk5ZSX+Xfqv6ls8IxyiwqI4vph13PdsOvoE9znpOseo2AP7Pw30zb8C1blHnncLwQGXwjD5sPQiz3zJrdTXnkda9OLWLu/mLXpxWSV1J6wTEJ4ACP6hjE0LoQhzbe8fVu5dO6ctl9gUDTWtBep/Phj8n79G9i6kcE//SG/f/xxambfxd+2/Y139r3D8pBi0vpM5oHg8UzZuYTEqoM87vw/7rCW8HjGDTycPolHPtzFRSPiuf28gcwYFOW7ISvdztG5c9izzz7LyJEjqaioaHP9iy66iCuvvBJjDNu3b2fRokXs2bPnrOROZ2toaODLL79k7dq11NfXA54POnPmzKFfP8/8qBkZGSes11hYQ8V/D1K7vcjzgM0QNCmO0AsST3pVY8vtJnX9l6x953WKsg4CEBwZxaRLr2Tc3PkEBJ942rzltkjbXMCGxQcozbOAWsJiA5k8P4nh0/t0ShPX6XSyaNEiXnnlFQ4cOMBrr73G7bffTvj8ZOr2lkJRLUkRTjL9RuBq2IGrYTe2wPMozauhNK+G4kNVDBzvu18miG9oLXc++uijdudFVFQUf/nLX3jvvfeOefxMc6fJgicy8ngiI48mCwYE+PHrof2YF9P6FDANDSUcOPAXDuW8hmW5cDhCGZj8PRITb8JmO7MpKFq1Zwm8+12oL4fIZFj0MvQdf8Ji27PLuOOfGymorGdAVBD/980pDO/T+RfFSQr058NJQ3k4LYeXDhVx355M8uob+X6S52LMCQnXExQ0kG3b76Cg8GOsXRZ9Qn944oZih5/4mMgZaC1zVqxYgb+/P6Gh7fvb6IxjrIqiQva89zo1BXkYY2P6tTcw89objhm1DJC5q5ilL6VQW9mIf7CDC28eyaAJsSdsr3bXLg794Ic0ZmZigoLo8+CDhF991QnHDZUNlTy05iGWZnrOyLx+2PVMr53erZrLhxljmHrltTgDAln2/F9Z/coLNNbVcc71NwIw7fKBFBys9OzDF1O46gcTif+f/yHzW7cT8+FXOG632FqwFZfb5fOjtqV7OT537rvvPubOnct7771HQ0NDyzR8J+Nrx1ip1XVcuzWNgoYmZoQH8/K4QYQddUaX293Ezl33NzeXo5k06VVCgo+d3iczM5N///vfWJbF7NmzT3gNy21R+vY+Gg9VYY8KIPqmkRgfHbTibnBh1TaBAb+EEMpLPceFAe5AJpjtbGAKH+Tn850k3xt93ZnUYG7F7hEjO2W7I/fsbveyxhhCQkKorKyksbGRxsbGLmkqWo2NlLz8L2KefJKqhgbPhSHuvpvIm75xyjmWc6pyeGHnC7yb+m7LNBjjYsbx9ZFfZ17SPPzs7fgmpzIftr0OO95uGakcBBAc5zkddMQCSDoXHO07iKtvcrH+QAnLdhewel8h6UXVxzwfGuBgQv8IJvSPYHxiBOP6hxMXeuJ0GivT2//vYIwhbMECAqdMIefHD1Dz1Vdk3XEH0d/+Ng/e/3OuGnIVj3z5CGlladxTlc1N59/EDwOTcS7/DUPLDvKc3x/ZFTiV71bcxtLdsHR3PqP6hvHj+Tr46mkeeeQRn9hudnY2n376KQ899BBPPPFEm8uHhBxpjFZXV3eLLz/cbjfbt29n2bJlVFZ6vvgaNGgQc+bMoX//k38IaCqto2JpJjWb8z3fWDsMIdP6EjKrH46I1qfesSyLtA1rWfv2ay0jlkOiY5ixcBGjZ1+Mw9n6afNZKSV8+W4aRVmeiwQ6g+C8a0cwYkYfbGfx9PbW2O12Fi1axHPPPUdBQQHvv/8+ixYtIvKaIRT+Ywex5XX4+w+lpmEH7qacI+s5bcy5aQRGc8l3H4+E0yltx0fKO2OrLeLi4oiLi+Ojjz46a9vcU13LQ4SQfiAPgNv6xfCLwX0JbmVqHMuyyM19h9S039HUVA7Y6NfvJgYNvA8/v6gTlj9jbjesehxWPeb5fcTlcNUzEBhxwqKLt+fwo7e2Ud/kZvrAKJ69abJXp9vyt9l4bFgiQ4P8+UXqIX53IJfchkZ+M7QfdmOIiJjCxAkvs2XrNyks/ITazHzgNoYEVh+5BrNf6/PcS/f3x69d3inb/dGbpz7byhdl797Jh396jJryMkJjYlnwvf8hccToY5Zxuy3Wf5jOpo89X0z3Gx7B3FtHnzAllmVZlP7rFQp+/3usxkb8R4yg3xNP4D9o4Amvu690Hz9c+UMOVhwkxBnCr879FXOT5rJy5cpOe6/eMGHeApz+/nz67JOsfec1AkJCmHTplRib4aJbRvLmr9eTk1rGpo8zmLJgJv7DhlG/bx/zDkSwZGglh6oOMSBsQFe/DekEfVZs7ZTt5s2Z0O5lKyoqWL16NU899RQAfn5++Pmd+v/NvnSMdXRz+dyIEP41bhBBx1xM1M3uPQ9QWPgZDkcYEye+fEJzuaioiNdffx2Xy8XUqVO54IILWLVq1THLVCzLpHZHEcbfTswto7AH+8YFRlvTmO05RqsPsdi2azu1tZ7BioGBgZzv3M2Gxil8UFCqBrP4DpfLxbnnnkt6ejr33HMP06dPb3OdtWvXMn78eBISEvjDH/7A6NGj21znZGp37CD3Fw9Sv3cvBgidP5/4n/70hAtDHC2zIpPndjzHh/s/pMnyTC8xd8BcvjXmW4yNbce5R24X7F8Bm170zK3sbp6iIiAcRl7JVvdQJlx1L7TzG+biqnqW7ylg+R5PU7m6wdXyXLCfnakDo5g5KJqZg6MZnRCOvZMaI864OAY8/xzF//gHhU89TfH//R/1+/cz9g+/563L3+KFnS/wt21/45U9r7ArbiK//9YS4nd/BCt+y+jaDawK2cenST/iwf0jScmt4NYXNzA+1k7ymGqSY3QgJmfP/fffz6OPPoq7+WJz7fHuu+/y05/+lIKCgrPa8OkMBw8e5NNPPyUnx9MY7du3L/PmzWs57bU1rupGKpdlUrUuF1wW2AzBU+MJvWgAjvCTf8GVvXsnq195kdy0vYBnvsDpVy9izIXzTtpYLsqu5Mv/7CcrxXMKbHCEP1MWJFPQuI9R5yZ09G2ftsDAQG688Ub+/ve/k5KSwq5duxg9ejQ10RZBxYZBQf3ZWQlWUz6W5cYYG9OuGEhEfDumOhI5jjGGq6++Grvdzne+8x3uvPNOr722ZVm8llvCz1KzqcdBYoCTP48YwHmRrbfea2oy2LP3F5SWrgUgMvIchg39xQmngJ419VXw7ndgz2IwNrjoYTj3vhOmxLAsi6eXp/HH/3qmIbthan8evWoMfl008uf2xFji/Jzcu/sgLx0qoryxiadHJWE3hrCwcZ4m8+ZvsKZ6CAALGz6Aw7H4/wZC7AgY/3WYcluX1C89mzGGefPmYVkWd911V7sy52weY23778csf/FvuF0uQhOTuPmXjxEYcmzm1Nc08t8XUji4sxhjYPpVg5g4L+mEC4K7a2rI/cUvqFjyMQCRN36duAceaHUg0If7P+TRtY9S56pjWOQw/jT7Tz2qqTr6gosA+OSvf2LFP/+PkMgohs04j6AwP+beNooP/rKVjUsyGDI5jsgbbyTvkUe4eJOLJUMhuzK7R+0L8S3p6enExsZy1113kZKSwuTJk3nyySdPeuHww3zhGCu1uo5rtqZR2NDEeREhvHxCc9li775fkpf3HnZ7EBPGv0BoyLFzKldVVfHqq69SW1vLsGHDmD9//gkN89pdxVQuywQD0TeOwBnv2z2O+gOewRRpNdmsfX9fy+NZWVmMiNmCM/R6NlX5k1/fSLy/7zbKzzY1mFsxcs9uKisr233KVGex2+2sWbMGl8vFwoUL2blz50nnAgWYNGkSBw8eJCQkhCVLlnD11VeTmpp62q9rNTVR/H//R+HTz4DLhTMxkYKrr2LkvfeedJ2i2qKWKR9clgubsXHZoMu4Y8wdDIkc0vaLVhXAppdg88tQnuV5zNhh+GUw8SYYchE4/ClbubLN5nJZTQOf7spj8fZcvtxfjMtttTw3ok8oF46I48IRcYzvH4Gzk0cCHs3Y7cTcdReBkyaT/f3vU7V8OQe/eQv9n/0r3xn/Hab3nc6PVv2ILQVbWPTxN3hi9hNMvmcdfPB9bKmfcum+h7h43I28GHkfT648yLbCJi7582p+ffUYrp/Su74Z64keeeSRLs+dxYsXExcXx8SJE9m0aVO711u4cCELFy5k9erVPPjggyxdepKLYHahyspKPvnkE3bt2gVAaGgoF110EePGjcN2kml+rCY34RmGvJUbseo8p0AFTYwjbO4AHNEnnxO9ODuLz19/if0b1wEQFB7BjGu+xtgLL8FxktEKVaX1rHt/P3vW5YEFfgF2Jl+azLg5iTj87KxcefpZfqaio6O5+OKL+eijj1iyZAnJycmUDnQTVGxncIA/u0wIllUFVhVxyf2YcJFyqNt5pLzLcwdgzZo1hIaGUltby8UXX8yIESOYNWtWp79ujcvNT/Zl8VZeKQCzqef/po4ltJWL+LndTWRlvUD6gT/jdtfjdEYxbOiDxMdf0Xmjikoz4PUboWAX+IfDdS/A0LknLNbocvPgezt5Y0MWxsDPF4zk9vMGdvkZJVfERRDj5+Dm7em8W1BGkN3GH4b395zdFTaOMSOfZtuKTAAmR+2Aw9cLrSuHrHVwyW+7rnjpFIdHGnd17qxZs4aEhATS09NZuHBhm5lzto6x3C4Xy1/8G9v+62kGT77sKqzEwSc0l0tyqlnyt+2UF9QSEOxk3rdH03/EiWdHNB46RNa93/v/7J11eBTX24bvWc3GnTgRILg7hQKlUGgpUEodKl+91Puruwt1F+otUMOhLVDcPSSBuLtns1mf+f4YLN0NNUJCMvd19WrYOTNzZjc5e85z3vd5sR4+jMrLi/AXX8R30kSXdg7Rwbw98/ju8HcAXJxwMY8PfxyDpv3Vd+l17nk0VFexZeHXrHrvdTx9/Ynq2ZvoHoH0HBlO6tYStvyQwZQbLqR83jwic4yEV6kpbChs7a4rtBDHIo1bc9xxOBzs27ePl19+mfHjx3P33Xfz8ssv89xzz53yvNZeY+WZrcw8Ki6PDvDmqz5NxWWAnJy3KSr6FpVKR98+H+PnN6DJcZvNxoIFC6ipqSE8PJxLL73UpXC6vaKR6h/kgBy/C2LxSGyBbLDTzDGBuURV63JMMkMPnxSSGMi22gZmdAo4w71rPRSB+SzA39+fsWPH8uuvv55SYPb19T3+85QpU7j99tuprKz8R8bvtoICih98CPP+/QAEXjuHkHvuoXDnTrftG+2NfJXyFV+kfIHZYUYlqJjRZQY39rnx7+0Cl6XA9g/g0A/gtB194M4wcI4sLPv8PY9mk9XBr8mlLE8qZktGJY6jorJGJTCmWwjn9whlXPdQogJaP7rOa9hQYhcsoODmm7EkJ5N7+RVEf/YZ/eP788NFP/DQpofYWbqTW9bcwhtj32DMVYtg/zew+iE0Sd9zU2wB0+d+xl3fH2B7iZP//ZTE3rwanr64Fx5axTtM4d+zdetWli1bxsqVK7FardTX13PNNdfw7bff/q3zx4wZQ1ZW1j8ed1oSURTZs2cP69atw2q1otFoGDVqFKNGjWo2NU2SJCyHq6lblUNIpQoJB/qu/vhfGI82rPnd9Ma6WrYu+pZDf/yOJIlo9R4MnjqDwRfNQGdwP/Y47E4OrC1g7695OKxOVGqB3udGMnhKLAbv1i8KMWjQIJKTk8nLy2P9+vV4B3nj9NTg0eggSB9OpSUDJCvj5/RocesOhfZLREQERqOR0NBQZsyYwa5du1pcYM5stHBjci5HTBYMKoGXu0XTKS3Jrbjc2JhDSsp91BuTAAjrNJ2uXR9rGTuMY+Rtg4VXg7kagrrClQsguKtLswargzu+28fG9Ao8tCreuWIAE3v9zfoWZ4AR/t582zeeKw9m8V1JNd5qNU93iUAQBLLNfai2NhCgr8EQWQVHTjox8UKIGtxq/VZo30REyBlBISEhf2vMOR1rLLvNysq3XyVrz07UWi3n3zSXXuee52JNkZtUye/zU7BbnQRFeTPl1j74BrsKwaZduyi6+x6cNTXoOncm6oP30SckuLSrt9Xzv43/Y1vxNjQqDY8MfYRZ3Wa1+gZUSzJ0+iyM1VUc/H0lS994kdkvv41vcAjDpyeQtb+C/NRq8jLNeI8fR/2y5QzOkBSBWaFFiYqKIioqiiFDhgBw6aWX8vLLL//t81tjjVVutXP5wSzKbQ5G+rsXl4uLfyQn911ARe9e7xIYOLLJcUmSWLJkCUVFRfj5+XHVVVe5rL9Eq4Oqb1KRrE4MfYLxHhPV0o/2n5EcIrY8uVZRqarG5bjDrqc7qSQxkO2KwKzQFqioqECr1aJWqzGbzaxdu5aHHnoIgPfeew+AuX+KKC4tLaVTp04IgsCuXbsQRZGgoKC/fc+65cspffoZRJMJTWgo4S+9iPeoUW7bipLI4ozFvLv/XaosVQCMjR7LPQPvIcHfdXLTBEmCzLWw/T3I3nD0RUFeTAy9CeLOhVMUDjxxGYk9eTX8uKeAFUklNB61v1CrBEZ3DeaivuFM6hWGv2frizR/Rh8fR+yihRTcfjuWg0nkX3cdnb/5mqDOnfn4/I95fufz/JT+E3f/cTcvjn6RyQPnQFgf+P4KyN1MyMKLuLP7I8wYOZQnlspRSyV1Fj6ePUgRmRX+NS+99BIvvfQSRqORvXv3Mm/evOPicnPjTmZmJgkJCQiCwL59+7DZbP9o3GlJSkpKWLFiBUVFRQB069aNKVOm4O/v3+w59opGapdlYc2oBcDmJRE+qzceiQHNLsacDgcHf1/Jth+/x9poQlCp6DdhMiMuvQovf/cTCkmSyDlYydafMqivtAAQPyCEkZck4BfS+hthx1CpVFx44YV88MEH7Nu3j6FDhyJGBqHOqCXCEEmlJYOgiCKCIl2LFCoo/B1MJtNxSx6TycTvv//Ok08+CTQ/7vxX1lfVc1NKLg1OkQSDns96x9LD28CGtKbtjnktp2c8i9PZiF4fTo/uLxAUdO5p7c+fCS3bBJvflTfeu0yAmfPd+i2X1Vu4/ovdpJbUE+ilY/61gxkQ0/YWMcP9vZnfO45rD+XwcWEFgVoNd8d2Ysl+eWye4L0Tg03+HRABFQKMf7wVe6zQnjk25vj4+PztMee/rrEspgaWvPocRUdS8PDyZsbDTxHRzbXmT/KmIjYtSEOSoOvgUMbN6YFW5zqvr1m4UC4g7nDgNXo0ka/PQ32SCH6MvPo85q6bS259LgH6AN4a9xYDOw382/0+WxEEgfHX30xdWQm5B/ex8u1XueyplzD46Bg6NY7NizLY+nMmU8eOPyowiyTbGlq72wrtmLCwMKKjo8nIyGDgwIGsW7eOnj3lopptcY1V73ByVVI2uWYbfb0NfNUnzkVcrqraxJG0xwBITHyGkBDXDKtNmzaRmpqKTqfj6quvdo0gl6Dmx3Qc5WY0oZ4EXNr1rNj8shUakewimlBP1E4dmOxNjgsqHT1IBWB7bccaWxSBuY1SUlLCtddei90u/7JedtllXHSRXBjjyJEjjHIj/P700098+OGHaDQaDAYDCxcu/Ht/oJJE6QsvUvPNNwD4TJxI2DNPowlwv0g5Un2E53Y8R1KFHMnTN7gv9w2+j0GdBp36PqIIR5bDxteg7JD8mtZTjlQedisE/YUwfZTyegs/7i3kp72F5JxUqG9w5wCmD4hkcu8wgrxboHr7aUYTFETnL76g4JZbady9m7xrZZFZFx3Nk8OfxEfrwxcpX/DQpodwiA6mJkyFm9bB95dDWTL9Dj7NyLkb6Rkxkms/38XG9Apu+3YvH80ehN5NBJaCwn+huXHn559/5uuvv0ar1WIwGFi0aFGrTwwcDgcbNmxg69atSJKEj48PU6ZMoXv37s32TbKL1G8owLihAJwSgkGD74QY9loziHeTlnqMvEMHWP/lJ1QVymnesf0GMvbamwiKbN4uoraskU2L0o/7LAdGeHHOZV3dpr+2BUJDQ+nduzfJycmkp6birEqlH0OI8IwnqWYD0d1dK9krKPxdysrKmDFjBqIoIooiV111FRdccAHQ/LhTWlrK4MGDqa+vR6VS8dZbb5GamtokyrA5vimu5OH0QpwSXBjix9vdY/B2851pt9dy5MjjlFfIqeydQi8iMfE5tNq/vse/RpJgyxv0PPy6/O+hN8MFL7u1BsuuaGD2/F0U1ZqJDfLky+uHtumaDOODfPmwZ2duSsnl5ZwSuhp0rDxUAsB1Devx95Dnu5VBOkIjZ0Cnnq3ZXYV2zLExB+TU7WuuueYvx5x/vcYCGmqq+eXFJ6nIz8U7MIiZjz5LcHTnJm0kSWLX8hz2rMoFYMiFsQy5yNXmRhJFKt58k6pPPwMg6Mb/I+TeexHcFCPdVbKLezfcS72tni7+XXjvvPeI9I78W31uD6hUaibPvZ9vHrqL4vTDbF30DWOuvp7eYyJJWl9IXbmZUu8eiBo1iUVOkmpqW7vLCu2cd999lxtuuAGHw0F8fDxffPEF0PbWWBanyLWHskluMBNv0PNdv3iX7C6jMZVDyXORJCedO99KVORVLtc5fPgw69evB+SI7dBQ1zpe/rkC5rQqBL2aoNk9UOnPDnnSki5HLesT/IhoiHCxTAoPiyaE3/EQnGQ0Wqm0OQjWnR3P9l/pGE95FtK3b1/279/v1isoNzeXN954w+WcuXPn/uMoH8nhwFFVJYvLWi1hjz2K/+WXux28GmwNvH/gfb4/8j2iJBJiCOF/Q/7HBbGuJu1NEEVIXQKbXoNyeScH7zAYfhsMuhYMfx1tcyxa+cMDFvb+/sdxC4xQHz0zB0Vx6aAoEkLOvgg6lacn0R99SP5NN2Pet4+8a68l9ttv0UZEcO+ge/HR+fDO/nd4cuuTBBmCGBkxEq5dDl9MxqviCHw3i95zlvLdTcO48pMdrE+r4OllKbx0Sd/WfjSFs5yxY8cyduzY4/9ubtx56KGHjmdXtAVKSkpYvHgx5eXlCILAsGHDGD9+PHo3xW6OYcmooXZJJo4qOZLYc3An/CbHyZWLm/E+NlZXsuHLT0nfuRUAv05hjLv2JuIHDm12PHTYnez7NY+9v+UhOiT0nhqGTo2j95jINm8vMWbMGJKTk6mpr+dIziH6RA/GRxuESlBzeOt6jNUVhHdJpM95k1BrlKmFwt8nPj6egwcP/qP5TlhYGIWF/yydWQKeyyrm/fxyAO6KCeXh+HBUbv5e6+r2cyh5LlZrKWq1N4ndniYsbHrLLuycDlh5H+z7CgkBYdILMPx2l2J+AMlFdVz7+S6qTDb6R/sz/9rBZ8XG+kWh/jzcGM5LOSXcuTENZ6OdRF8HvWwFOI9mmBZEGtAOnkLbi8NWaC8cG3PA1ZP1dK6xAETRyaKnH6K2tISAiCgufexZfIObiiySKPHHN0c4sq0EQYBzr0qk12hXIVi02Sh59DHqV6wAjYbwZ5/F/5IZbu+7InsFT2x5AofkYGzUWF4e8zJe2ra7AdVSePr6ceHdD/LDM4+we9nPRPfqS1z/QQyc2Jn13x7hwMZSYhIjCEgpIG/rbzCltXus0J7p378/Gzdu/NtzndZYY4mSxB2H89heayJMp2Vhv3hCdE0L1FmspRw8eCNOp4lOnaaSEH+/y3XKyspYvHgxABMmTKBbt24ubay5dQSly3OcwMsS0bahDM6/wpImT1o8EgOJLI1sIjCr1Wr0HklgdRAtZZNBV46YzJyja916J2cKZRXYRlCr1dTV1dG/f38OHDhwyrYrVqz4R9c2m82MGDECu93epJiVaDZjy89HstlQhwQT9fY7eA4c4PYaSY1JPLvkWSrMFagEFdf0uIY7+t+Bt+4Uoq4kycLyhpeh4qixnm8knHMvDJgNWo+/7rvNydIDRXy1PY/DJbLPjUqAiT07ceXQGEZ3DUbTxoWZv0Ll5UX0Jx9T8H83Yj54kILbbif2++9QeXlxU9+bqLfV82XKl9y34T6+uuArEgMTYfZiLO+fi0fRHlg2l+6XfsHXNwxj5kfbWLCrgHO6hHBh3/DWfjSFNk5rjDsthdPpZMuWLWzcuBFRFAkMDGT69OnExDTvBe802aldnoX5QAWAnJo1owv6OL9mzxFFJwd+W8XWRV9jM5vR6PUMn3E5gy6c3mwBP4CC1Go2LkijrsIMQPcRYYy8pAsGn7Zn4eOO0NBQunTpQmZmJna/TphE8FGr8NUGUltRTmrFH9jMZvpPurC1u6rQxmmV+Y4kUW138H5pORoBXu0WzVURrmmmkiRRWPQ96enPIkl2fH0H0LvXGxgMf6OmxH/BZoIfroXMNaDxICXxbnqPuMNt0+1ZVdz09R4arA5Gdw3m49mD8DyLomLu6hxKUkMjv++pRA1M6+UL+0EtypsARm81aSUfMSx6KoKgZGMp/Hdaa67jdDhorK2ltrSE0NgEZj72LJ6+TecXTrtIwRYJY3EJGq2KSTf1Jravq7+q02ikcO6dNO7cicrTk8h33sH7HPc2hl+lfMW8PfMAmN1zNvcPuh/1XxRIb89Ede/FqMuuYcvCr1n72ftcO+99EoeFsWt5NlVFJoSovgSkFJBQIv31xRQU/iZn6xrrlZxSVlbU4atRsaBfPDGGppvXTqeVQ0m3YbWV4e8/lJ49XkEQmvahsbGRBQsWYLPZ6NOnj9vobKfJTvX3RxAkAe8xkRh6tQ17xb+D02jDXtQAGhX6eD8iVBFNjg8YMACncwkAkVIeGUJX0kwWzglQBOYOhyRJrZbaHR0dTUFBQYtc22AwuAxsTqMRW0EBktOJoNES99PPaDu5pi3U2+p5eefLLK9YDkC/kH48Pvxxugd2P/VNc7fCmiehaI/8b79oGH0f9L8aNH8dZVPZYOXrbbl8vSOP2kY5bTLIS8eIThKPXDaaSP/2VfVY7e1N9Ccfk3v5FVjT0ih68CGi3n0HQaXi3kH3Umoq5dfcX7l93e38NPUnAnwjONjvaYYdeBBSFkP8OPoMupbHL+zBk0tTePiXJIbEBRDq89civkLr0pHGnWNI0umdxFdVVfHzzz9TXFwMwNChQ5kwYUKzRfwAzMmV1CzJRGywI2hV+JwXg885kQia5idq5bnZrPnkXUqz5F3qLkNGMO66m/ENbt4iorHexpYfM8jYXQZAQLgXY6/qRkTXsy8+r1+/frLA7N8Jo9WJj1qDrzaYWlsFGq2OsXNubO0uKvxNOtK4I0oSOY1WTE4RH7WK+b3jGBPoOsl3Oq1I0lekpW0GICpqDl27PIJK1cKbQI3VsvVV4S7wDIIrF1KZ1ei26e8ppcxdsB+bQ+SivuG8cVl/dKcYs9oigiDwQGgw66pSkVRwJCoc9h8/itYzApMpg9LSpYSHX9KaXVU4jXSkMQfA6XRQXVyI0+EgOCaWSx9/DoNPU3sdh93Jrx8nYywGvaeGi+7sR5ibDW5HRQX5/3cj1vR01CuxRggAAQAASURBVCHBxHz8MR49XS1kRElk3p55fJMqWx4+MPgBru117el50LOcIRfPJH3HVspzs9j2w3eMnXMj/c+PYetPmTTohwIrSShp7V4qnG462rgD/22N9VNpNW/nlaEW4JNecm2KP1/7SNqj1BuT8PCIok/v91Gpmuo6oijyyy+/UFtbS0REBBdffLEbqx+J6kVpOOttmP0lIifF/us+twbH7THi/VDp1ERGNs04GTVqFGXlUygq+p5efqFsqIc0k6U1utoqnF2z0hbEw8ODqqqq0y58tEUcNTXY8vKRnE7qdTq8oyLdistbi7YyY+kMlmcvRytoeXjow3w9+etTi8sVabDgSvhyiiwue4XChW/Anftg8A1/KS7nVZl4fMkhRr38B+/8kUlto51+0f68eXk/tj0ynku76dqduHwMtZ8fUR9+gMrXl4Z166h4+x0AVIKK5895nv4h/SlvLOfJbU8iSRJmz0j5vQVY/RBUpDF7eGfGJoZgtDh474/MVnwahb9DRxp3jiFJElVVVXh4nJ7Nj0OHDvHxxx9TXFyMr68vc+bMYcqUKc2Ky06TnaoFR6j69jBigx1dnB+d7hmI79joZsVlu9XCxm8/59tH7qE0KwPvoGCmPfA40x54rFlxWZIk0naWsuCZnWTsLkOjVTF8ejyXPzbkrBSXAbp3745KpcKpl6iUjqaGqeUslsEXz8QvtFNrdk/hb9KRxh2nJJHdaKG6uooiEX4e0MWtuGyxlLB33+VIbEal8qBnz9dJ7PZUy4vL9SXw5YWyuOwXDTf8BtFD3TZdvL+Q277bh80hcs3wGN6+YsBZJy4fY+leubgfYZ78UG8hw1dOnRVCEolPkFNts3PeQhStrdVFhdNIRxpzAESnk+riIurqjdiMdcx6/HlXcdnmZNWHh8hLrkKtg+n3DXArLttLS8mbPQdrejq6+HjiFi50Ky7bnXYe3vQw36R+g0al4eXRLyvi8kmo1Gom3nIngqBi36pllGVn0n14OCq1gMUYhFXnR/cK7V9fSOGsoaONO/Df1li760zcd0QWxJ/rEsnYQNd6EwUFX1BaugSVykDfvh+j07nWjtm0aROZmZkYDAYuu+wytFrXvyvjxgKs6TWoPDWU9RMRzrJsdEuaXEPHI1Fez3l5eR1/z/39/QkICECjluea3Qzy86d3IIFZiWA+SlRUFIWFhVRUyKnSFovltAkg/4XT3Q+n0YhoNAKg8vLGy9ubqKiopvd0WJi3Zx6L0hYB0DekL9O007isx2XNX7ixGv54HvZ+AZIIWi8YdTeMuAP0f+2NnFpcz/sbMll9qISj9spM6BHKLecmMCS2bRa+agn0cXFEvfUm+TfdTNXHH2Po1xef8ePRq/W8OuZVZi6byYaCDfyQ9gOd6AT9Lofs9XBwAax+EGH2Eh6Z3ION6RUs2JXPTaPjiQ48e/yMOhodZdz5Mx4eHi7jzj/FZrPx66+/sm/fPgB69uzJxRdffMp+/zlq2W9KHF7DwhFUzUc3NJQU8c1Dd1FTUowgqBg4+WJGXX4NOkPzf1fGagsbv08jL7kKgKjuAYy9ujt+IWf35phWq8VbG0C9tYoKVQkQglalwyc4hKHTZrZ29xT+Jh1l3BEliUq7A4soUSwKDE+Ip6eP69+t0ZjKwYM3YrWVAcEMHvQFPj5noMBcVRZ8Mx1q8yFYtr7Cz30BroW78nlk8SEkCeaO68L9E7u1ejHVf4vF7uSHPfIi9qphMXzRaKRY7UdXgCE3EhY2jbz8TzCZMigqXkR01JxW7a/Cf+fPYw6033FHkiQa62px2GzYjHX0HT4STz//Jm3sNierPkii8EgNBh8tEaMcBEe5bnzZCgvJv+567IWF6Lt3J+bz+WgCXddEFoeF+zbcx+aizXhpvXhr3FsMDx9+2p6pvdApvgsDp0xl78qlrJv/IVc+P4/YvsFk76+gMGIICblrcRqNqH06Rhp7e6etjjttcY1VaLFx3aEcbJLE9ZHB3BDlGjxTVb2FjMyXAOjVcx4+3q4Bh5mZmWzYsAGAmTNn4u/v79LGmldP/Zo8AAIuT8RRkvSP+traSHYRyxE5yMbQ44Sth4eHBxaLhV69egEc3yCP8RABKLDYznBPWw9FYD6KVqslLi7u+L83bNjAgAHu/YjPJKerH5IkUfH661R9Nh+1INDp0UcJnH2NS7u8+jzu33A/aTVpaFQa7uh/B9f1uo4tm7a4v7Aowv6vYe0zYK4GQQ2D/w/GPgzerlHRf+ZwST1vr83g15RSALRqgUv6R3LLmHi6duqYX/BeI0cSev/9lL/6KiWPP4FhWV80wcGEe4fz5Mgn+d/G//Hantf4X6f/ySdMehHSVkH2BshYQ2K3iUzvH8ni/UV8tS2Xxy9SKrG3Vdr7uNNSVFRU8OOPP1JeXo5arWby5MkMGjSoWcFFtDmpXZZF4x7ZpkIX50fgpV3RBDUv+NqtFrYu+oa0lUsBCIqK4YLb7iGsi2uRimNIkkTK5mK2/ZKJ3eJE76lh1KVd6D4i/KwVg07G6RQRagPAUIVVbwERevqPJH7GaLT61hcKFP4eHWHcsThFrkrKZlutjU46DT/170JXL9ff0aqqTRxKnovTacLffyj1dVefGXG5NFkWl00VEDkIrv4JPN1vpn+5NYenl8sFkh+8IJHbx3Zp+f61ID/vK6TaZKNvlB/PDo7j0L4jDKxPkQ8mTkYQ1MTF3U1y8lwKCr4iKtJ1rqpwdvHnMQfa57gjSRK/vv8GqZvX4xUQyFXPz3PJcnI6RFZ/dEgWl311TL9nAEnpu12uZc3JIf+663GUleHRty8xn36C2s81wrnR3shdf9zFztKdBOgD+Oj8j+gZpMz7m2PkZddweMtGSjLTWLjiXcJ6jID9UBI2jITctdiLS1Andsz1Z3ujrY47baEPJ2MVRW5MzqXK7uDcAB+e6+K60W02F5GcfDcgEhs7l9DQC1za1NbW8vPPPwNyofguXVznKqLZQfWCIyCC95goDImBcJZZ01gya5BsTrQRXmgCT8wrnU4nAF27dpX/LcoRyyFaOTq7wuZoVcuWM4kiMHcAJEmi4o03qfpsPmg0RL72Kr6TJ7u0+zX3V57e9jQmu4kYnxjmnTuPHkE9mr9w0V5Y+QAUyxGExI6GKfMg9C/8mYEjpbKwvDpZFpb1GhVXDYvh5jHxhPud3VF+p4PA666lYfMmGrfvoOSxx4n66EMEQeCC2AvYXLiZZVnL+KXmFy7ncnlReu5D8Nuj8PvjkDCea4Z3ZvH+IlYklfDolB6oThGhqaBwNpGamsrixYux2+0EBQUxa9YswsLCmm1vKzRSvTANR6UZNAJ+k+PwHhFxyqjloiOp/PbRW9SUFIMgMGz6LIbPvBKNmzSvYxirLaz/5jAFh+Vd7fj+IYy5shtefn/tOX+2kLGrDFWDPxigSmNGskmoBBVdh7kvNKSg0Bo4RInbU/PYVttAJ52GJQO6Eufp+ndYVLyItLQnkCQnnTpNpWePV9i0aXvLd7D4gCwum2sgfixc/l2zmV4fbczi5dVykeSnpvbk+lFxbtudLYiixGebcwC4aXQ8WrWKD/yr8XE2kmWIwqIOohcQEnw+en0YZnMuNTVn4DNRUDgNbP9pAamb16PVezDjwSfxDW4aaCOKEmu/TKUgtRqDj5YZ9w0gIMwL0ptex5qdTd6ca3FWVmIYPIjojz5C7e06RhhtRm5fezsHKg4QbAjm0/M/pUvA2b0B1dLoPAwMm3E567/8mJQlK3hl1OfMVj8HHhE0egQzf+3LaCzDuL739a3dVQWFM8JTmcUcMDYS5aHlo16d0fxpfSSKNpJT7sLhqCUoaCzxcXe7XMPpdPLjjz9iNpvp0qULY8aMcWkjSRI1izNw1lrRRnnjN7Fziz1TS2I+mp1q6HWiGKvT6cRkMgEcX5Pa7bUA+Oj98FGrMDpFah1OArTtX35t/0/YwZEkiYq336bq009BrSbyjdfxnTixSRu7086ru19lYdpCACZ2nsgzI5/BW9eMtYXVCGufht3zAQl8wmHSC9DrEviLXZm8KhOv/ZbGiiR5u0qnUXH1sBhuOzeBUF8lAu4YgkpFxEsvkX3xNBo2bqT2hx8JuFy2KLlv0H38kf8HqeZUNhVuYkzUGBhyE+z8GCrTIOM3BiZOISrAQGGNmV251QyPP3sqsyoouEMURTZs2MCmTZsA6N27N1OnTkWvdy/gSqJEw+ZC6n7PA6eEppMnQVd2Rxvm1ew9nA472378nl1LfwJJIji6M8FDR3POZVc0e44kSaTtKGXzonRsFiceXlrGXNmNLoNC29UutcPuZOfybNROA4JDxKpx0CBY8I0LaFfPqXB2I0kSD6YXsKqyDj+NmoX9ElzEZUmSyMl9l5yctwHo3Pk2EuLvc6mC3iIU7oVvZ4ClDrpdALO+Aq37uc876zJ4Y006ggAvTO/DVcNiWr5/Lczaw2XkVJqI9Dcwube8CIvJ/wOAjQFD+DWziEX9ElCpNERGXEF2zlsUFn0LXN6KvVZQ+GtSN/3B9p++RxBUXHj3g3SKbyr0SpLEpoXpZO4pR+uhZuqd/WVx+U/YCgrIv+56nJWVeI4YTvT776PydLX2qbXUcsvaW0itSiXMK4zPJn5GZ9+zU7A50/SdcAFrfppPQAN0LvWgyD+dhKoBVAf2ICt9K42JOm5R39La3VRQaHF+Kavhy6JKdILAZ73i3IqfmVmvUV9/AL0+nF4957mdK/3xxx8UFRXh6+vLJZdcgkrl2qZxbxnmpEoEnYrAK7qfsqh6W0VySlgOHxWYe5/QVsrKyhBFER8fFdXVy9Drw7FYZCswnTaIUJ0Wo9lKmc3eIQTms++TVfhHVL7/AVUffSyLy6/PcxGXayw13LTmJhamLUSr0vLosEeZd+685sXlzLXwwQjY/Rmo1DDyLpi7G3rPPKW4XNVg5ellKZz3+kZWJJWg06i4bmQsmx8cx1NTeynishu0YWGEPfUkAOWvv46jRo6MDDIEcWu/WwF4bfdr2J120Ohg6M3yibvnIwjC8cXb9qyqM995BYXTiMViYeHChWzatAlBEJg4cSIzZ85sVlx2Ntio/CKZutW54JTwGhFOp7n9TykuVxUV8P3jD7BryY8ICAybcRlXv/QWXqHNR0eb6qys+vAQ6746jM3iJLZvMFc+NYyugzu1O9E16Y9CGqqtePiA1iH7iNULZny6KIX9FNoOL2WX8H1JNQaVwDd94txWQM/KevWouKyie+LzdEl44MyIy/k74etpsrjcYypc9k2z4vLSTBtvrElHJcDrs/q1C3FZkiQ+2ZQNwA3nxKE5VtTn8AoANnUaw6aaBv6oluuERERcgSBoqKhYiyQZW6XPCgp/h/LcbNZ88h4A4667iYRBroU6dy3PIWVTEWqNigtv70tIjKsNg72kRLbFKC/Hc/Bgoj/4wK24XGet4+Y1N5NalUqUdxRfXfCVIi7/AzRaLYZz5Qzdfhl+FPgeBqA6oDueVrij3x2t2T0FhTNCgaTi/mNF/bpG0t/Xdawpr/iNgoLPEQQNfXq/i1brWqQ8KyuLrVu3IggCM2fOxNPNmGWvNFO7LAsA/2ld0Aafndnq1uxaxEYHmmADmtATz5mfnw+AwTODw0ce4cDB6zAaZeuvg0k3obfKmWiVNseZ73Qr0P4l9A5MzYIFVL73HqhUsi3GBU39crJqs5i7bi6FDYWEGkJ5e/zb9A7u7fZaGnsDLLkdDnwnvxDeH6a9D2Hu2x+j0eZg/uYcPt6UTYPVgSDArEFR3Ht+NyL8z87B5UziO2UKdT//gmnbNirefpvwp58G4KruV/H1ga/Jrc9lde5qLk64GPpfBX88B1nroCqLftH+ACQX1bXeAygo/EeqqqpYsGABlZWVeHh4cOmll7r19TqGNa+e6u8O46y3ofLSEDArEUP35guFSpLEwTWr2fjNfBw2K74hnZg89z6iuvc6Zb+yD1Sw/tsjWBrs6DzUjL68G4nDw9qdsAxgabCz91e5IEdwZyv1OWDzgHqhEXNKFYJGhTbcC32831lXCVqh/bCwpIp38stRC/BJr1iG+jfdKJckkfSMZyks/AZB0NCr15t0Cp1yZjqXuxW+mwV2k7whP+NjULu33Hl3XQaLM+2oBHjjsv5MH+C+8N/ZxvasKvbk1eDvqeXyIdHyi5UZcuaVhz8j+k3i15wKns8qZnygD3p9CAEBI6iu3ozEQWBqq/ZfQcEd1kYTy994CYfdRu9xExlwgevvacrmIvasykVQCUy6qReR3VxFGkdFhVzQr6gIj359ifroI1QG13WS0Wbk1jW3crj6MDE+MXw+6XM6eSkbvf+UxFHnsmPdfvwatTic8sZXTUAiXfSd6RPSp5V7p6DQspidIm/jhVkUubRTAHMiXDOdzeYCDh9+CIAuCQ/i5+fqG93Q0MDixYsB2Xe5c2fXjS7JKVG9KA3JJmLoF4LnwL+u0dVWaTwgF4w09Atpst47JjAHBppdznE6TaipAwGsonRmOtrKtOmVoCAIFwiCkCYIQqYgCA+7OT5WEIQ6QRAOHP3vydboZ1vEuH49pc89D0D4c8/hO6XpImpL0RauWXUNhQ2F9ArqxYKLFjQrLpP+G0N2z5XFZbUeJjwDN647pbgsSRKL9xcybt4GXl+TToPVwbjEEFbfPZrXZvVTxOW/iSAIdHr0EVCrqf3hRyxH5B0wrVrL+X7nA/BlypdIkiR7MfeaIZ+Y8gu9I+RiIIcUgfkfoYw7bYe6ujrmz59PZWUlISEh3Hzzzc2Ky5IkYdxcRMXHSTjrbeg6+9LproGnFJcb6+tY8uqzrJv/AQ6blZ5jxjPn1XdOKS7brU42fHeE1R8dwtJgJ6p7AFc8OazdFPJzx85l2djMDjr5atF5NmI1y1kRdYIZe1EDdatyqPst9y8tkhSaRxl3/ht760w8mFYIwCvdojk/uGkxLElycuTIY0fFZR19+nxw5sTl/B0nxOW+V8AlnzYrLr+/PpPX16QjAK9f1q/diMsAb63LAODGc+Lw1h+Nbzm8XP5/4mSuiwmnk07DYZOFDUejmEOC5XmOJB04093tECjjzn9DkiR+/eAtastKCImNZ/wNrrYKRWk1bFogmyyPvTqRuH4hLm0Ek4n8G/4PW14e+h49iPnkE9TerhlXJruJ29feTnJVMpHekcyfNF8Rl/8licHdOdJZHmdiiwUclOPUGOjuM7KVe9b+Ucad1uf5rGIKUdPFU88riVEu6xdRdJCSci8Oh5Hg4AlER9/gcg1RFFmyZAkNDQ107tyZ0aNHu72XcUMB9gIjaj8dAdO7nLVrJckuYk6pBMDzpHFckqTjAnNUlHvxXH/UMsQmii3cy7ZBm41gFgRBDbwPnA8UArsFQVgmSVLqn5puliTpojPewTaM+VAyRffdD6JI8B134D/zkibHf0r/ied2PIcoiUzsPJHnz3keg8aN4Gs3w5onYdcn6AGih8lRy8FdT3n/5KI6nlqWwt482dKhT6Qfj0zpzsiE4FOep+AefZcuBFx1FTXffEPZSy/T+asvARjkNYjfGn8joyaD7SXbGRkxEhKnwMEFkPkHMec8gEqAcqMVu1NEq0QW/iXKuNN2OHz4MAcPHkQURbp06cKsWbOatcQQLQ5qfs7AfEj+4vc+JxK/ybGnjKYtPJzMyndeo6G6Cr2XF+ffNJfEEe4nR8eoyDfy+/wUassaUWkERkxPoN/46FMWDDzbKcupJ3lzESqVwKC+QezM245w1CLDLNiOt/OfEteu34eWRBl3/hulVjs3JOdgkySujwzmmj9F4kiSyOEjj1FS8iMqlQd9+35MUOA5Z6ZzhXvh20tPiMvTP5DtxdzwwYZMXvstDUGAm/romTEg6sz08QywI7uKXTnV+HpouHZk7IkDyb/I/+8xFb1KxY1RIbyQXcKHBeWMC/IlOHg8aelPAik4nRbUasVO7XShjDv/nb0rl5C5ezt6Ty8uvvcRtLqmc5Ta8kZWf3IIUZTof34MPUdFuFxDtFrx//AjrJmZ6BISiJn/GWo/P5d2jfZG7lh3BwcqDhDuFc78SfMJ82rewkvh1ET7RJMfa6d/hkhUhQEv4QhW/1BMW7Jau2vtGmXcaX3+qKpnflElaiQ+6NkZL7XrnCQv70Pq6vej13WiZ49X3IrCu3btIjMzE4PB0Kzvsq3QSP06WXwNmNUNlaHNSo9/iSWtGsniRBvhhfYke4yamhoaGhowGAxERvQmO+c3l3P9PaPBpEQwtwWGApmSJGVLkmQDFgLTWrlPbR57UREFt92GZDbjN306wXNP+EhJksRnhz7jme3PIEoit/S9hdfOfc29uFyWAp+Oh12fgEpDVvy1cP3qU4rL1SYbj/xyiKnvbWFvXg3B3jpeu7QvS+8YpYjL/5GQuXeg8vGhcedOGvftA0AraLm6x9UAfJP6jdww/lwQ1FCwE5WtHh8POUrKaOkYnj+nAWXcaQPs3LmTRYsWIYoiAwcO5Morr2xWXHZUmin/4ADmQ5UIejVB1/TA/6L4ZsVlSRTZ8csifnjmURqqq4jo1oM5r757SnFZEiX2/Z7HT6/sobaskYBwL2Y9PJj+E2LatagqihIbF6SBBP3OiyY4zo/q/MMIR3fgHTgB8OgRiD7evxV7etajjDv/EotT5PpDOZTZHIz09+bZLk0jfiVJIiPzxePicv9+n585cbn4gFzQz2aUiyBPe79ZcXn+lhxe/VUWl1+f1Y+REWfvIswdb6+Vo5f/75z44/MSSg9B2SEwBECXCQDMjgjCU61iU00DycZGPDzC8fHpBdioq9vbSr1vtyjjzn+gIi+Hzd9/BcCk2+/BPyy8yXFro51VHyRhNTmI7RPEiBkJLteQRJHihx5Gl5mJJjSUmM8+RRPomnVld9q5d8O97C3bS6ghlPkT5xPp3X6yG1oDtUpNdGg82REmABwOeYxq8G4/G3ttFGXcaUUqbQ7uOSILvpdhoa+PG4/3+oPk5L4LQM+er6HV+ru0qaioYO3atQBcfPHF+LnZFJPsTqp/SANRwntkBB5dXK2BziYaD8r2GJ79m0Yp5+TkANC5c2f8/Pq5nKfR+LHWJD/7l0WVLdzLtoEgSW1TSRcE4VLgAkmSbjz679nAMEmS5p7UZizwM/IOWDHwgCRJKc1c72bgZoBOnToNWrhw4Snv39DQgLd3M4XuziD/qB92O4HzXkebl4e1eyK1c+eCRl6kSJLE0tqlrKtfh4DArMBZjPZxI6hIEpFFK0nI+hKVZKfREEFqz/spFcKa7YcoSWwqdPBDmo1GB6gFmNBZw7QEHZ7a0yu+tIXPpbX64LV0Kd6rf8Xapze1d9xBQ0MDgkHg0cJHAXgh6gW81d703/8I/nWpHOr9OFP39ATgzgF6BnVqmQXr33k/xo0bt1eSpMEt0oHTiDLutG4/JEkiOzubggK56ERERARdu3ZtNp3KUAlhB1Wo7QJWb4nSASL25uv4YW80kbNuFcZC2U+404ChRA4ZheBm9/4YdVUN1B7ypKFU/ndgV+jUT0ClObPCcmt8JlXpEqX7JLSekDBZwFxaTNqKBWgDOlMdFkKw5Etit25oOnme8WrQyrijjDsAX0kGVqMnGJEXMeIrNJ3TiuJSJJYBalTCXQjCqetGnK73wqshl/4HHkfrMFIRPJzUnv9DUrn/Dt5QYOfLFDkb4P966xgdpT2rP5M/k1Lp5LU9FgwamHeuJ15H54UJmZ8TXbiUoojJZHS79Xj7ryQPVuPBuVi5TTAjit8jsQ5BuASVcOF/6st/RRl33I87/3TMgbN73BGdTo788h3mynJCevUjZsz5TY5LkkT+JomGEtD7QdwEAbWb9ZD3Tz/htXYdTg8Pah+4H0eUq7gpSiJfVX7FvsZ9+Kh8uDvsbjppW8YW42z+TP4NxaZifsv+kb5b7AgqNTrfu/AVqoi5IvSM9uNU/N0+KOPO2TPutN4aC97Ak93o6IGDe02l+P6pH5JkQZSeAcoRmIhKdbnLdURRZP/+/RiNRsLCwujevbvb+wUfFvDPU2HzkigYKSI1s9RqC5/JX/VDZYfY9SoEEfLOFXGcFJuZkpJCRUUFXbt2JTIyHKMxFY1mLzr9Juz2/gjCZVyrTQSgCw6eFxr+VR/OJP913GnLIRLuVu9/VsP3AZ0lSWoQBGEKsARwG2IrSdInwCcAgwcPlsaOHXvKm2/YsIG/anMm+Cf9KHnmGWrz8tBGRtLtyy9R+/sD4BSdPLP9GdbVr0MjaHhx9ItMjpvsegGrEZbOhcwl8r8HXovnBS8xWOfVbD8yy4088sshduc2AjC6azBPTe1Jl1DX6sing7bwubRWHxx9+5K5fgP6Q8kMDwtjR2kpY8eOZfna5Wwt2oo52sy5MZOgdiQcSKVP2Ik/7y6JPRjbv2WiHdrCZ3IaUcadVuqHKIqsWrWKgoICVCoV06ZNo6amxm0/JEmiYVsxdfuyQZQjaCOuSCRB3/xXWtGRVJa/9TKmmmoMPr5Mnns/cf0HnbJPhWk1rFyyH4cFPLy0nHddD2L7tE42xpn+TOoqzCxcvAtwMmFOH+L7h7DqjXkAhHjHU42RSqGeqw2JBEw4tW1SS9BW/lZOE8q48y/6sbaqntVJ2WgE+GZgdwb8qQJ6fv7nZGQuA1T06f0OoaEXuL/Qf+iDW6qy4PMbwWGEbhcQctk3nKvRuW26eH8hX/12EIBnp/VizojY09eP08B/7YckSbzx/lbAwp0TErlw7FEPfacDdt8EQOSU/xEZdWIsjm60sHrnEfaoDQwdNYS6ilpSU9cRFFRPv77/vi+ng7byuZwmTtu480/HHGg77+W/6cfWH77FXFmOX6cwrnjwcXQeTTNB9/6aS0NJNnovDZf9bwi+wa6ZotVff03Z2nWg1VJ36y2cc801Lm0kSeKlXS+xr3EfXlovPpv0GT2Dev6jvv4TzubP5N/wbeq37KvIJN4jEm8LSM5iLLpOx+/dFt6PttCH00yHH3daqw+/lNWwOzUPX42Kb4b0JXNHg0s/Dh95lOLicry9Ehk8+C3Uatfs0Q0bNmA0GvHz8+O6667Dw8PVusqaU0fFb0mggqjrBxAf1bwu1BY+k7/qR8OOYmrFLPRd/Dln8okioKIosmPHDgAmT55MYGAg23e8QmNjJgA63SHOGfUxk9Lq+a2ynnt7xDM2rPnaQGfDe/F3aMsWGYVA9En/jkLexTqOJEn1kiQ1HP15FaAVBKFDejHULV9O7YKFCFotkW+91URcfmLrEyzOXIyH2oN3z3vXvbhckSZbYqQuAZ0PzPoKLn4HdO7DAa0OJ2+uSWfy25vZnVtDsLee964awNc3DG0xcbmjowkMxH/WLACqPv/8+OuTOk8C4Lfc36gx2Xlpt/w9vW3HtuNt+ka5pq4ouEUZd1oBp9PJkiVL2LNnDxqNhiuuuIJ+/VzTjAAkh0jtL5nULZfFZZ9x0QTN7omqGXFZkiT2/7qcH559BFNNNZHdezH71XdOKS6LosSu5dksfUsWl8O7+HH540NaTVw+00iixB9fH8ZhddJ1cCjx/UNorKslfZ88pvhpTxS38D3ftWK0wj9GGXf+IeVWO3cfltM8H44LdxGXS0uXkZH5AgA9e7z8t8Tl00J9MXw9HUwVED9Onks1Iy6vPlTC/T8cRJLg4cndj4vL7YnVyaUkFdYR6qPn+pFxJw5krgFTOQR3g8iBTc5J8PRggI8nJqfI75V1+PnK3wX19Qdoq1mXZynKuPMvKM3KYOfiH0AQuODWe1zE5eKMGnYuzQZgwnU93YrLDRs3UvbSywBEvPgC9mYiAD9J+oQFRxagVWl5Z9w7LSoud0RCPUNBgLwIMwCi9TB2UYPd6mzlnrVrlHGnFai0OXg8Qy6E/HSXSKI8XOclVdVbKC5ehCDo6NXrTbficlFREZs2bQJg+vTpbsVl0eak5qd0kMBnbDS6U4jLZwumPWUAeA1umj1SXFyMxWIhICCAwKP2Rn6+fY8fDwwcjU4XjOrovopHB6mH1ZafcjfQVRCEOEEQdMAVwLKTGwiCECYczZ0WBGEo8vNUnfGetjLWzExKnnwKgE6PPYahj5wCKkoiz+54luXZyzFoDHx8/secE+nGezBlsSwuV6ZDSA+4eQP0mt7s/fbmVTP57c28vS4Du1PiyqHRrLvvXC7qG3HWVgY9Wwi8dg4Axt9+R2iUo8bHx4xHI2jYXbobTw8bmaJcRMSz/kShivNe38iF72zmo41K8Yq/QBl3zjAOh4Mff/yRpKQktFotV199Nd26dXPbVrQ4qPwyBdPuUtCoCLwyEb9Jsc36INutFla//wZ/fPExotPJoAunM+uJF/AJbH6eaqqzsuyt/exemQtASC+Yfu8AvAM6TnGpQxuLKM6oxeCjZfQV8mexd+USnHYbPmGxBAjyZDHGKwy1j3vxTOEfoYw7/wBRkrj7SD5Vdgfn+Htze0xTP7za2j2kHn4IgK5dHiM8fOaZ6VhjNXwzA+ryIXIwXP4taN2PGxvTK7hr4X5ECe46ryu3nuvqz3q243CKzPstDZCf0aA7KT9292fy/wfMBjfzxkvDZL/CH0trMBhiAQM2WyV2e4f8lW8plHHnHyI6nfz+8TtIosigKRcT1bOp5U5jvY3fPktBkmDgpM5uN6Wt2TkUPfA/kCSC75yL39Spbu/1U/pPvHfgPQQEXhnzCkPDh7bIM3VkjDYjAOoesn+205YhZ8jVWFqzW+0dZdxpBZ7MLKLa7mR0gDdXuomgdThMHDkiW27Gx92Ft3eimzYOFi9ejCiKDB8+nLi4OJc2APW/5+GosqDp5Inv+JjT+yCtgL3MhL2wAcFDjaFX0yLSWVmyrpKQcGIO5+NzIkAqtvPtAFiO1q7RuymE2B5psxYZkiQ5BEGYC/wGqIHPJUlKEQTh1qPHPwIuBW4TBMEBmIErpA4W3iDZ7RQ/9DCS2YzvxVPxv/wy+XVJ4sWdL/JLxi94qD14/7z3GdipaZQIogjrnoGtb8n/7n0pTH0b9O49Vyx2J2+uTeeTTdlIEsSHePHSjD4Miw9y217h9KOLisJz2DAad+7EY89emDIFP70fPYN7klSRRFptCg0e4SBBqFBz/DxRgpTieu6d4F64U5BRxp0zi91uZ9GiRWRmZuLh4cHVV19NdHS027aOWiuVXyTjKGtE5a0l+Lpep9wVry0rZdnrL1CRl4NGr2fSLXfRfdS5p+xPcUYtv32aTGO9DYOvjvNv6ElWaRKqDrLjDFBb1sj2xXJq19irumPw1mFpaODA7ysBiEgcgqNQju7xjFAyI04Hyrjzz/i+pJr11UYCtWre7RmD6iSB0mzOJ+nQbUiSjajI2URHX39mOmVtgO9mQcURCOkOV//Y7Fxqb14Nt36zF7tT4sZz4ri3FSxmzgQLdxeQXWkiNsiTy4ecNK5XZUHmWtB4wABXWwCAaaEBPJlZxIaaeqrtTiAYKMBiKUanUwLZTgfKuPPPObh2NRV5OfiGhDLq8tlNjkmixNovUmissxHexY9hF7uKL06jkcI77kA0GvGZOJHg225ze5+tRVt5fsfzADw+/HHO73y+23YK/x5rRgb71nwH3tDHNxaNkIpZMiM5K2motRIQdoqCHgr/GmXcOfP8XlnHL2U1GFQq5iVGuw0GzMp+DYulCB/vXsTE3Oj2Ops2baKyspKgoCDOO+88t22sefU0bC0CFQTO6nbG67O0BMeilz37hSBomxpJp6enA00FZg8PecNKEHT4+cnam1WUf331HSQQs80KzHA8LWLVn1776KSf3wPeO9P9aktUffYZlpQUNBHhhD35JIIgIEkSr+15jUVpi9CpdLwz/h2GhA1peqLNBL/cDEdWgKCGSS/CsFvcRpIA5NY5efG9LaSXNaAS4NaxCdx9Xlc8/vSHptDy+F8yQxaYt28//trA0IEkVSSxr3wfnj4JUA/eNN2BH989lAk9W6YwSHtCGXfODMcilzMzM/H09GT27NmEh4e7bWsrbqDqyxSc9TY0IQaCr++NJrD5iOL85IMsf+MlLKYG/MPCmXb/YwTHxDbbXpIkDqwtYPviLCRRIqKrPxNv7IWXn56s0v/6pGcPTofI7/NTcNhEug3tRPwA2Qpj36/LsJnNRPboTSdtJEaqAdAZXNPnFP4dyrjz9yi32nkuS86mfbFrFOH6ExH0dns9Bw7eiN1eTVDgGLp2ffzMZFU5bPDDbCjaA34xMHsxeLr32EsvM3LDl7sx253MGhTFYxf2aJeZX/UWO2+ukRde/5vUHe3Jm3R7jlp89b602fcpWKdhpL83m2sa2FxjxIcgoACzpRDfk9JPFf4byrjz92msr2Prom8AGHvtTWj1TecghzYWUnC4Bg9vLRP/r7fLxrTkdFL0wAPYcnLQJyYS8dKLCG6i2dJr0rl/4/04JSc39bmJyxIva7mH6sCo/PzYa0kHb4Go95ZiE0IpCvRBdBSQ9+p7GIaGQjPWJQr/DWXcOXM0OJw8nC5bYzwcH0ZnN/P2mtrdFBZ+gyBo6NHjZVQqrUub0tJStmzZAsC0adPQal3bSHYnNT8etcY4t31YY0gOkcb95QB4DmqqoRiNRoqKitBoNE0EZlGSizb7+PQ8Pr+rtTsA8OsgutnZv63QgbEcOULFBx8CEPHCC6iPVnv8OvVrvkn9Bo1Kw5vj3mRExIimJ9aXwBdTZHFZ7wezf4Hht7oVl+1OkbfWpvPcDgvpZQ3EB3vx020jeeiC7oq43Er4TJyIyssLXU4O1pwcAPqH9gfgQPkBfP3l1FJfoRE98iCn06h4aqri3abQNnA6nfz888+kp6djMBiYM2dOs+KyJaOGio+TcNbb0MX6Enpbv1OKywd+X8VPLzyBxdRA/MAhXP3im6cUl21mB79+ksy2nzORRIkBE2OYdk9/vPw6nni6Y2k2FflGfII8GHOlnB5naWhg/yo5ezHDZEdT6cQsWAGoq6sjPT2dmpoaxKPpXwoKLckTmUXUOZyMD/RhWqj/8dclyUlyyl00Nmbh5dWN3r3fQaU6AzEUkgTL74KsP8AzGOYsAd8It00LqhuZPX8ndWY75/fsxEuX9GmX4jLA+39kUmWyMSQ2gCl9wk4csDXCflmkY6j7KKljnBsgL0431hgRkKOWLZaiFumvgsJfsfn7r7CaTMT2G0iXwcObHKsta2T7L3Kq9LhruuMd4Dp/qHj3XUwbN6H29yfq/fdQeblGyFaaK5m7bi4mu4kLYi9g7oC5LfMwChTrzRQFC3iZJboWQ1DDUR9mRwGNeSVogpVMCYWzn9dzSym22hng48mNUSEux51OC4cPPwxA58634uPjqhU4nU6WLl2KKIoMHTqUmBj3thf16/JxVJrRhBrwPe/st8YAMKdUITbY0XTyRBfdVDBPS5MtwBISEtDpTgQ7mEwZAPj7nwjurDwqMAdr23Rs72mjYzxlO0Sy2yl++BGw2wm46kq8Rsgi8m+5vzFvzzwAXjrnJcZEjWl6Yukh+P5yqC+CgFi46gcIcfXZAXkxdNfC/ezPrwXg+lGxPDipe1MfPYUzjspgwPu88dQvW07Dho3o4+LoFyL7/aRWpTLmpGJHvpioQMetY+LpHKSkeym0PqIosmTJEg4fPoxer2f27NmEhYW5betVCpVrUsApYegXQuCl3RC07vdFnQ4H67/6lINHrRyGTLuUc66YjUrV/HhVXWxi9ceHqC1rROeh5rzrehLf33UC1hHIT63iwJp8BJXAxP/rhd4gTw92LvkBi6kBbVAoksGHAKMHaSo5OyIvL4+8vDz8/f2ZO3cuqg7iLabQOqytqmdpeS0GlYqXu0U1EWdzct+nunozWm0g/fp+hkZzhiJn1r8ABxeA1hOu+QmC3HspVzZYmT1/J2X1VobFBfLulQPQtFPrndxKE59vlTe/n7ioZ1MR/cB3YKmTPaojBpzyOucG+vB8dgmbqo1cJASCBFZLB0opUWgzlGZlkLz+d1RqDeOuu7nJ77ToFFn7ZSoOu0jisDC3c4iGzVuo+uhjUKmIfOtNdFFRLm3MDjN3rruTElMJfUP68tyo51AJ7XOMaAtsLtoMQL8cCY14ssBciOTfHb+LL4Zt2051CQWFNk2GycKnhRUIwMuJUajdbGjn5X2E2ZyLl1dX4mJvd3ud7du3U1JSgp+fX7PWGLbiBoybCkGAgJnNr9XONhp2lADgPTzcJSDgyJEjAHT/U6ZDfX0SAJ9UBtJgzSVcr6XSJgvMJVYbepWKQK263QYYgCIwn7XUfP891iNH0EZFEXr//QDsK9vHo5tlg/b7Bt3HBXF/qpqesxkWXAk2I0QPhyu+Ay/3O7TLDxbz6C+HMFodhPt5MKcb3Da1V4s+k8Lfx3v0GOqXLce0eRNB119HkEcQ3lpvGuwN+Adaj7ezoiPYW8dtY7u0Ym8VFGQkSWL58uUcOnQInU7HNddcQ0SE+2g/0+5Swg6oAAnvURH4XRjfbDE/c4ORFW++RH5yEmqNhom33EXPMeNP2ZfsAxWs/SIVu9VJUKQ3F9zSG/9Qz1Oe014x1VlZ++VhAIZeFEtYvOytXF9Rzv5flwMQOWIMXulGNKKKGk1Dk/PHjh2LRqNMJxRaDqso8ujRNM+H4sKIOSnNs6pqEzk57wACvXq9icEQeWY6tfcr2PQaCCqY9WWzgqnJ6uD6L3aTW9VIrwhfPr12cLvOAHtp9WHsTomZA6PoG+V/4oDTAdvelX8e+deRmb28DQRpNRRZ7RQTTATgdDa2SJ8VFE7FMWuMAZOnEhjRVBzevyafspx6vAP0jL7c1U/dXlZG8YMPAhBy1114DR/u0kaSJB7f8jjJVclEekfyzrh38NB0nMLCrcHGwo0ADMqUvVENdgcaUYNDZUXs1RXhpIhEBYWzDUmSeDyjCIcE14QH0c/HdX0jSWXk5n0MQPfE51GpXDMvqqqq2LBhAwBTp05Fr3dtI4kSNb9kgAheI8LRd/Y9vQ/TStjLG7Hl1CHoVHgOaFpM2mKxkJ2djSAITQrTS5JIXd1eAFY1xlFlrm1y3oX75Bo3z3aJ4OboptdsTygrwrMQR1UVFe/K1kSdHn8MlZcXefV53LX+LmyijcsTL+e6Xtc1PenIKvjxOnBaodclMOMj0LgOEo02B88sS2XRngIAJvbsxKuX9uXALmUXty3hdc4oJEGgcfceRJMJlZcX0T7RHK4+jIdONqNvlPTU48X7F/dWos4V2gR//PEH+/fvR6PRcNVVVzVb0M+4uYi6ldkICPhOiMHnvJhmd3prS0v45eWnqSkpwtPPn2kPPEZEtx7N9kESJXatyGHPqlwAug4OZdycHmg76N+I6BT5/bMUzPU2Irv5M/CC2OPHtiz6BqfdTvdR5xLavRchh/MAqBVMx9uEhITQt6/iiarQsnxRWEm+xUail0eTNE+LpZiU1PsAifi4ewgKPOfMdChjDay4V/75wjeg2yS3zexOkTu+38ehojpiAj358vqh+Hq4ehe2FzZnVPBbShkGrZoHL/hTdtzhpVCbB4Hx0OPiv7yWShAY4e/Fioo6sgiRBWbR8pfnKSicTgoPJ5N7cB86g4Fh02c1OVZTamLXcjlaf9zs7ug9m/5tSw4HRfffj7OmBq9Rowi6+Sa391hTv4bfa3/HS+vF++e9T5BBKZ7ekhhtRvaU7UGFQP/sE7Xj1KpgHJSSV2U9xdkKCm2f1ZV1bKwx4q9R80i8qwWhJEmI0neAjfCwmfj7D3bbZuXKlTgcDvr160eXLu6D1Rq2FWMvbEDtq8NvUuxpfpLWw3Q0etmzfygqj6aSaXp6OqIoEhMTg9dJdkcmUyYORz1aXRhVdvcZsb4aFVeGt+8xXhGYz0LK33wTsaEBr3PH4DN2LI32Ru5Zfw911jrOjTqXh4c+3FSMObgQltwOkhMG/x9MeQ3cpI1nlBm59du9ZFWY0GlUPHFhD64Z3rldh/CfrWgCArDHdkaXk4tp5058VLuIqi7gMOBd8zsAJjwI9NI19T9UUGgldu/ezebNmxEEgcsuu4zY2FiXNpIkUb82H+O6fAAquotETejc7DVLMtJY/OqzmOvrCOkcx/QHn8A3uPkdYavZwdrPU8g9VIUgwIgZXeh/vvuKyh2FHUuyKc6oxdNPx/n/1wvV0Sjxksw0Dm9ej1qj4ZwrZlNdZUIlNmLHgRXH8fPHjx+vWGMotCi1dgdv5ckbp08kRKA5+jsqig6Sk+/Cbq8hKHAMsbF3nJkOlSTBD9fKc6rR98Pg6902kySJxxYfYkNaBQGeWr66YSghPu3X293qcPLU0hQA7jyvC518T4rAlCTY8pb888g73c5B3dHXx5MVFXXk4sVooLZ21+nttILCKZAkia2LvgVg0IXTMfj4Njm2cUEaolOi56hwYnq6CgYV776Hec9eNCEhRLz6ituifluKtrCidgUgWxsm+Lu32VE4ffyR/wcO0cFA3174mA+eOKDpBI5SLEbFikfh7MXiFHkqUy6G/GBcGEE6V7mvvGI1kIJG40eXLg+5vU5ycjLZ2dkYDAYmTpzoto2j1kL977kA+E/v4iLEnq2INiemffK802uYq0CfnJwMQO/evZu8Xlu3B4AA/0FEGbUUWuwu514XEYyPpn0HNSmrwrMM86Fk6n7+BbRaOj38MJIk8fT2p8mszSTOL45XxryC5uTCNjs/hsW3yAuhMf+DC193O7FfkVTMtPe3klVhokuoN8vmjmL2iNgOLby0dWyJsuePef8B0HkTVid/mWjyFwNQL3kyV78aYdX/5AWxgkIrcfjwYVaulL2Rp06d2iSd6BiSJFH/W64sLgsQMKsbdbGSS7tjZOzaxg/PPoq5vo7YfgO54plXTiku15Y18tPLe8g9VIXeS8PUO/szYGLzkdEdgez9Few/6rs86cbexwsbiqKTtZ99AMDAKdPwCw3Dt1yFGhX5XjVw9C2LiIhw8R5TUDjdvJ1XRq3DyTn+3pwXeMJbOS/vQ+rq96PXh9Gr1xsIZ8Kv1FgmW43ZTdDnMhj/RPP9XpfBD3sK8dCqmH/dEOKC23cdhM8255BdaSI+xIsbz4lvejB7PZQmgVcI9Lvqb1+zl7cBgFxJTu+1WhXhR+HMkX/oIIWHk/Hw8mbQhdObHMvYXUZRWi0e3lpGzHCN7DPt3EXVJ5+ASkXE6/PQBLkK0AX1BTy46UEkJG7vdzvjYsa11KMonMSqnFUAXNRjBoLHiY0w36M+qXrPulbpl4LC6eDzokoKLDZ6eHkwJ8LVCtXhaCAj/XkAEhIeQKdzHZssFgu//fYbABMmTGgSpXsMSZKoXZKFZBMx9AnG4GaT7WylcX85ksWJLsYHXaR302ONjWRmZiIIAj17Ni2KWFcr22P4+w9mgI/re6ZXCdwU3f5r/SgC81lG+RuvgyQROHs2+rg4vj/yPatzVuOp8eStsW/hpT3pl3nHh7Ba9v1i0osw/nH4k5jicIo8vyKVud/vp9HmZFr/CJbNHUX3sPbhn9OecXSWIzstKSkQEIuXKItxNYLsG1YghTDN9IMcwe7juvumoHAmyM/P5+effwZg3LhxDBw40KXNcXF5QyGoIPCq7ngN6tTsNfetWsqyN17CYbPSZ/xEpj/4JDpD8/7JBUeq+emVPdSWNRIU6cWsh4cQ3TPwvz/cWUxNqYl1X6UCMGJGAhFd/Y8fS1rzK+U5WfgEhTB85hVIkoTjQA0AeYaq4+3OO++8Di3QK7Q8hRYb8wsrAXiiS8Tx37f6+kPk5MpWYT17vIZWG9DynbFbYNHVUF8IUUPh4ndd5lTH+GF3AW+tzUAlwLtXDmRgzBnoXytSVGvm3T/kyunPTeuNTnPS8kKSYMMr8s/DbwPt3/eW7XNUYM4Tgmh+u1FBoWXYsXghAIOnXoLe88T6ytpoZ8tPspfmyEsS8PBuao3hbGig5JFHQJIIvvVWvIYOdbl2o72Ru9bfhdFmpLehN7f0u6UFn0ThGJXmSnaU7ECj0nB+7CT0JwU8BEXL6yqHtby1uqeg8J+oszt4x03G18nk5n2I1VYGxBEZcYXb6/zxxx80NDQQFRXFgAHu60tYUquxHKlG0Kvxn9p+Mi8kSaJhqxy05z3KtU7Q4cOHEUWRuLg4vL29m5xXU7sTAH+/wQzwdV2XXh4WSIiu/dqkHaN9xLF3EBr37KFx+w5UPj4E33oLB8oPMG/3PACeHfUs8f4nRYzs+hR+fVj++aI3YfANLterMFqZ+/0+duZUo1EJPHZhD64bqUQtny3YO8cAYE5JQQq4F4MkAlCEL1CFAzVBghFGPwXe7X+3TKHtUVtby8KFC3E4HAwaNIgxY8a4tHERl6/sgWcf98VHJUli03dfsGf5LwCMunw2w2ZcdsoxK3ljIZsWZSCJEnH9gplwfU907SSF699ibbSz6sND2CxOEgaE0H/CCS9sU20NWxZ+DcC4a29C52HAml2LvcSEVe2gSmUEIDAwkPj4eLfXV1A4XXyQX45Nkpge6n+8SI3TaSEl9QEkyUF01HUEBo5s+Y5IEiy/Cwp3g1+0XCS5GaF0S0Yljy4+BMCz03pzfs/mN8vaC88uT8FiF7mobzijuvxp/M5aBwU7wBAIQ2/+R9cN1WsJ1mqotEM1QfQIHXYae62g0Dxl2ZkUpiajMxjoP+miJsd2LsvBXG8jPMGP7sNdAzjKXnoJe3ExHr16EXzbrS7HJUni2R3PklmbSaxvLHP85qA6ExkYCvyW+xuiJDImcgz+Hv6Y4uKwJMlZnt4Dz4GiVdga63A6HH9xJQWFtsd7+eXUOpyM8vdm3EkZX8cwmwspKPgcAJVwldvMr+LiYnbv3o0gCFx00UVubfBEm5Pa5VkA+E3sjNq3/RTFtGbW4ihvRO2rw9DbdT166JA8v+vTp0+T1xsbs7BaS9BqA/H27s6APxUlFoDb2nFhv5Pp2Kvss4yK994HIHDOHMweKh5e8zAOycGcnnOYFHtSgZnd82HVA/LPU+a5FZdTiuu48as9lNRZCPHR88HVAxkS27Ej+s42xIAA1AEBOGtqsDfqSD5a2fX3ACfUQphQLS+Eh9/euh1V6JDYbDYWLFhAY2MjCQkJTJkyxUUI/ifisuh08vvH75CycR0qtZpJt91Dz9HNp5OKTpEtP2RwaGMRAAMndWb4tHgEN7v5HQlRlPh9fsrRaG5vxl/bo8nnsvGb+VgbTcT1H0SXoSMAMG6Rd/Krw+001pkBGDVqlLIZqdCiVNjsfF8iR8zf3fmESJud/QaNjZl4eiaQkPC/M9OZLW9C0iLQesGVC8Db/SIhs9zIbd/txSFK3DImnmuGN+8h3174PaWU31LK8NKpefzCpumiSBKsf1H+edTdoHdd8P4V0R46Ku0OqghGrfr70c8KCv+FvauWAtBn/ET0nici0apLTCRvLERQCYy5MtFlTmH84w/qfv4FQacj4pWXEbSu0WqLMxezMnslBo2Bt8a9RcGBgpZ9GIXjrMiS/a6nxE8BQGWQxxRtdDSo9SB4gWTCVFvTan1UUPg3lFhtfFpYAcDjCRFu5+iZWa8gijbCOk2josI1SEQURVauXIkkSYwYMYKwMPd1nIx/FOCstaIN98JruGuU79nMsehlrxHhCOqm4np9fT25ubmo1WoXi8Cq6s0ABAaegyCo6OttQAWIR4+PCfAhzrP91uE4GWW79CyhcfduGnfI0cuB187h1d2vUtRQRI/AHtwz8J4TDfd9Ayvvk3++4BUY6lqxeE1qGbM+2k5JnYWBMf6svPMcRVw+GxEEPHrIg5s1t4iqP0VTdRMK4byn/lE6qoLC6UCSJJYsWUJZWRmBgYFceumlqNWu3u/1a/P/lrhst1lZ+voLpGxch0avZ8aDT55SXLaaHax47yCHNhah0ghMuK4HI2YkdHhxGWDH4izyU6rx8NYy5bY+TaK5M/fs5PCWDWh0esZffyuCIOCoNGM5XAVqgYZ4FXa7HZVKRf/+/VvvIRQ6BPMLK7GIEucH+dLjqFVCfX0S+QWfIwhqevWch1p9Br7f0lbDumcAAS75BML6uG1W1WDl+i93Y7Q4uKBXGA9d0P79yY0WO08eLez3wKREwvz+9Hlk/A5Fe2XvZTfz0b9DhIcs0FURhEpt+E/9VVD4OzRUV5G2bROCoGLABRc3ObZjSRaSBD1HhRMc1dSb01FTQ8kTTwIQct+96Lu4ejNn1GTw0s6XAHh8+ONKUb8zyOGqwyRXJeOj82Fs9FgAxEY5ytDn/AlYTHYElfyZNlRXNXcZBYU2ybycUiyixNQQf7f2DLW1eygvX4VKpSch4QG31zh06BBFRUV4e3szduxYt23s5Y0YNxcC4D+jC4K6/ayt7BWNWI5Ug0aF11DX7JQDBw4A0K1bNwyGpvOR6qpNAAQFjgbAS6Om20mC8gNx7T+b7RhKBPNZQuVHHwMQeO21bKzdw+LMxehUOl4a/RJa9dHd8SOr5BROkD2XhzdNy5IkiU83Z/PS6iNIEswYEMlLl/TBQ9u+K1m2Z7SRUQDYS0vorfFhHyb6W6yIkoAuvDf0ntnKPVToiGzatInU1FT0ej1XXnmly5cwgHFL0fGCfoFXdm9WXLaYGljy6nMUHUnBw8ubGQ8/TUS35oWb+iozK99PorrYhMFHy+Rb+xKe4Hfanu1s5siOEvavyUelErjg5t74Bp/4XMwNRtZ+Knvajr5yDv5h8sTKuKUIJPDsH4oZ2XOyc+fObjcMFBROF0aHk8+L5EicO2PkaGFJcnIk7QlAIjr6Bnx9+7Z8R6qy4Jejtg7jH4ceF7ltZrE7ufmbvRRUm+kb5cebl/dH1QE2tF79NY3Segv9o/2ZMyK26UFRhPUvyD+fcy/o/n6RQ7u9nvr6A3h6xhOuk5cq1QSj1Sj1QRRangO/r0J0Ouk2bBR+oSdEgZLMWnIOVqLRqRhyUZzLeeUvv4yzqgrPIUMInDPH5XijvZEHNj6AxWlhWsI0Lk642KWNQsvxY/qPAFyccDEGjYHS7DpqkrJQA7bOvTHmWhBU3kjOMhpqFIFZ4ewh32xlYWk1agEejneNOpYkkYwM+fs4JuZGPDwigPQmbaxWK2vWrAHkGit6vWu0rSRJ1C7NBKeE19Aw9DHt6zv5WPSyZ/8Q1F5Ns08kSTouMP+5npDTaaWmdhcAgUcFZoBog44jjVa81CqG+DXdkGzPKALzWYA1OwfT1q1ypdtZU3hmw3UA3DPonhM73wW74KcbQBLh3IdgxB1NrmF3ijyxJJmFu+U0rAcmduOOcV2UFOezHG2ELAI5SkpwhESAlMFAiwURAdXkl8GNb5KCQkuSkZHB+vXrAZg5cyYhIa7+36Y9pdStyAYgYGY3PPu49wi3N5r44ZlHqMjLwTswiJmPPktwdPMp5+V59ax8P4nGehsBYZ5cNLdfExG1I1OUVsP6b44AMPryrkR2a1p0bMNXn2KqrSEisScDLpgKgKPWiml3KQjgMyaS6jXy5KlXr15ntvMKHY5FpdXUO0SG+Xkx1F+elBcWfYfRmIxeH05c7J0t3wlrAyy8Cqz10ONiGH2/22aSJPHgT0nszashws+Dz+YMxqBr/xswe/Oq+XZnHhqVwMsz+6D+s6Ce/DOUHJSLDLuxajsVgiBw4OD1AJiFGcA1VBFMvTGFkpKf8fRMwNe3nzKHVTjtiKKTlA2yyDJg8tTjr0uSxLZf5E3W/hNi8PJrKr6Ytm2jbukyBL2e8OefQ3Az/35h5wtk12WT4JfAo8MebcGnUPgzJruJldkrAZjVbRYAosmEkJeGhMCq30Uc2noEQd4I270ihaDhrpsICgptkffyy3FKMCssgARP18yusvKV1BuT0OlC6RzjvqDoli1baGhoICIign79+rltYz5UiTWrDpWnBt9JsafzEVodlQ0a98oFEn1GR7ocz8/Pp7q6Gh8fHxISmmae1NbuQhQteHv3QK8/sab1OhqMM8RNRHl7RhGYzwJqFiwAwG/qVN5I/4RqSzXDwoZxdY+r5QYV6fD9ZeAww8A5MPaRJuc32hzc8d0+1qdV4KFV8cZl/ZnSxzXsX+HsQxMuf4724hI2e4WAIQODJKEJ7Aydz0DhIwWFk6irq+OXX+QCfOPHj6fbSdW5j2FOrqTm5wwA/C6Kx2uw+5Shhuoq0pctwlJTTUB4BJc+9jy+Ic0XR8hJquT3z5Jx2EQiE/2ZfEsf9J7tv1Lv36Gm1MTqjw8hOiX6jY+m97lRTY5n7d1J6qY/0Gh1TLr17uMLY+P6fHBKGPoGIwTpKSiQNyiV4n4KLYkkSXxbLEeP/V+UPFG3WsvJynodgMRuT6LR/P1o2H/ZCVh6B1QcgeBEmP4BNCNmfrAhi2UHi/HSqZl/3RBCfdu/LZXV4eThnw8hSXDL2Hi6h/0pislugXXPyj+Pewy0/2yjT6PxwUMfgcVajJdUCwI04kl19SaqqzcREjKJvn0+OD0Po6BwEvlJB2ioqcY/LJzI7ic2U3MOVlKaXY/BR8uAiTFNzhEtFkqeeQaA4NtuQ9fZdSN8dc5qlmUtw0Ptwbxz5+Gp7ViCQ2uzKmcVjY5GBoYOPB6cZShMpk5yUucbh+PY5yHI0khlQS0hI5UNLIW2T7HFxsKSagTgrhjXNZUo2snOfhOA+Li73c6fqqur2bZtGwCTJ09utrBf3cocAHwnxbpE+J7t+OcJSHYRj+6BaDu5vkf79+8HoH///i7vT0Xl7wAEB49v8rpFlACYENS+Ir3/CiW8sY0jWCzULV4MQPGkfqzIXoFereepkU/JFYeNZfDtTDDXQLfJcOGbTRZBNSYbV3+2k/VpFQR66Vh48whFXG4n2EU7n1csA6Ag4zBZZnkQ8xIlGDG3Nbum0AFxOp38/PPPmM1mEhISOOecc1zaWDJrqVpwBCTwOS8Gn3Ncd4gB6isrWPTMw1hqqgmO7szlT79ySnH50IZCVn+YhMMmkjg8jKl39lfE5aOYjTZWvHcQa6ODuH7BjLy0qSdkQ001v334NgCjrphNYIT8mThqLJj2lIEAvufFkJmZidVqxcvLi8BAxbNfoeXYV9/IEZOFIK2GC4LlSXlm1is4nQ0EB40nOPj8lu/EtncgdQnofOCK75otTvd7Simv/ZaGIMDbVwygR3jHWES8uy6TjPIG4oK9uHN8V9cGuz+FunwI7QX9r/pX9/DyljcoddgAsHEsYlQgPu7uf3VNBYW/ImXTHwD0GnPe8Qh5SZLYsyoXgEGTY5vULgCo/Ogj7Hn56Lt2IeiG612uWWoq5bkdzwHwvyH/o0uAqzezQsshSRILjywEYFbirOOvW7ZvBaAq8KSsrKMCs8FXhc6gxOEptH0+KCjHJklMDfWnq5frBndJ6S+YzXkYDJ0JD3dvnblmzRqcTid9+/YlOjrabRvjxkKcdUcL+w1xX/zvbEW0OfHLl8d7nzFRLsetVispKXK9iT/XoJEkkYoKOeslNGRSk2MFFisAfXw61oaiIjC3cTx27UJsaMBj4ACerfwagBv73Ei0TzQ4rPDDbHkSHzUELv0c1Ce+DItqzVz60Tb259cS6W/gx1tH0D/av5WeROF0oxbUrK+WU9YrK+oxaMsBCHY6edyUyqIji1qzewodjPXr15Ofn4+Pjw+XXHKJy+6uvdRE1Tep4JTwHhmB74QYt9epKy9l0dMPU1tagiE4lFlPvoiXf4DbtpIksX1xFpsWpiNJMHRqHOdd2wO1RvlqA7DbnKz6MIn6SguhnX04/4ZeTXxhJVHk1w/exGysJ6ZPfwZNmXb8mHF9wdHo5RC0nbxITk4GIDS0eaFfQeF08G2JHL18eVggOpUKozGV0tKlCIKObt2eaHlbhJzNsPZp+edLPoZgNwIqkFZq5N5FBwD436REJvTsGAVcDhXW8eHGLAQBXr20r2sdj8Zq2PSa/PP5z4Lq39mFeHslAqBDXqDZ0AEQGjoFb+/Ef9d5BYVTYG00kblrOwA9x5yIRCtIraYi34jBV0evcyKanpOZSdX8zwEIe+ZZBJ2uyXFREnl86+MYbUbGRI05bs+gcObYXryd9Jp0QgwhTOw8EZDnjw2b5KJclUEnBGbhaHJ3eHwLZ8koKJwGyq324xlf93R2nYM4nVZyct4BID7uHlQq1+Cb/Px8Dh8+jEajYcKECW7v46ixYNx4tLDfxe2vaHrj3jLUdgFdtA+6ONdAgaSkJOx2OzExMQQFBTU5Vle/H5utAg+PSLy9ex5/vcHh5HCDBbUAvb07ll2jsgpv43js2AlA0jnhZNdl09m3M9f3vl5O31z1ABTsBN9IuOJ70J3YHcksb+DSD7eRVWEisZMPP982koSQjmMu3hFQCSp8fORBTm8X8NKVAFCqVrM0fw1Gu7E1u6fQgcjKymLLli0IgsDMmTPx8mo6MXfWW6n8IgXJ6sTQJxi/i+LdikQ1JUUsfPph6ivKCO+SSLeLL8PT132BPqdT5I+vDrPvtzwElcD4OT0YcmGc4sl5FNEp8vtnKZRm1+MdoGfK7X3R6psKPXtXLiEvaT8GH18m33HfcWsMe6lJ9l5Wge+EGGw2G2lpaYAiMCu0LA0OJ0vKagG4OkKOlM/Keg2QiIq6GoPB/cbU6UJrq4Wf/0+uZ3HOfdD9Qrftqk02bvx6Nyabk4v7RXDbuQlu27U3rA4nD/x4EKcocf3IOIbEuslm2PQaWOog7lzoct6/vtexCOY6/AHYLwwGVMTH3fWvr6mgcCrSd27FYbcR3atvk6ypPatzAeh/XjSak/zVJUmi7KWXwW7H/7LL8Bw4wOWaC44sYGfJTgL0ATwz8hlljtIKfJnyJQBX9bgKnVreALCmp+MoLUXyDaDB+0TEotMm16pI377yjPdTQeGf8nlRJRZR4oJgX3q6ETGLir/Hai3F2yuRTp1cixRLknS8sN+IESPw9XWfhVW3KgccIoZ+Iejj2lfhdMkpYdxcBID3mCiXMVqSJHbv3g3AkCFDXM6vKP8NgJCQSU3O3V1nQgT6+XjipWn/dTlORhGY2zD2oiJ02dngoWeeQd5lfXToo+jVetj9Gez7GjQecvqm94mJUHqZkSs+2U5JnYUhsQH8cMsIwvzavydgRyTEPxYAvdOGVWsCIFmvI8QQcsKjW0GhBTGbzSxZsgSAsWPHEhsb2+S4aHVS+WUKzjoruhgfAi/r5nbnu7a0hB+efZSGqkoiu/dk5mPPodG7H7fsVierPjjEkR2laHQqLry9Lz1GKtY/x5AkiQ3fp5GbVIneU8PUu/q7FCQqy85k8wI5K2bSbXfjHRB4/NzaFdkggdewcLQhnqSnp2O324mKisJg6Fi78ApnljVV9ZhFubhfgqcH1dXbqKrehFrtTWzn21v25qKTHoffgIYy6DxK9g52g90pcvt3eymoNtMn0o9XL+3bYUSjd9dlklZmJC7Yi/9NchNFXH4Edn0CCDDx+WZ9q/8OxyKYGzhhTxLW6WK8vBR7AYWWIWuPHNSTOGL08deKM2opyaxD76mh95imtl4NGzdi2roVlY8PIffe43K97Nps3twre58+NeIpgg3BLdd5BbekVaexvWQ7Bo2hSfR4/a+/AqAdeg4IJ8sh4hnuoYLCv8PsFPm6uBKA26Ndgz+czkZyc+VaBfEJ9yMIrrLfkSNHKCgowNPTk1GjRrm9jzW7FvOhSgStCr/J7a/wZWNSBc5qCzZPCUOvIJfj+fn5lJeX4+XlRY8ePZockySJ8grZf/nP9hg76mRdZrhfxwvwVATmNsyxL7/CvmHUqiyMjRrLyMiRkLcNfn1YbnTxexBxYsf8cEk9V3yyg8oGG+d0CebrG4bhp3iRtlvqquTPPsRch1Ul4C2KbDcYuLXfrRg0ihCk0PKsXr0ao9FIVFQUo0ePbnJMckpUf38Ye7EJTZAHQdf2QvhzOjVQV17GD889SkN1FZHde3HJI8+g93TvV2VusLHkzf3kp1Th4a1l+r0D6dzbdULQkdm5LJvDW0vQaFVceEc/AsObRpRbGhpY/tbLiE4H/SZeSMKgYSeOHanGmlmL4KHBd4JcqGjv3r0A9OnT58w9hEKHZGVFLQAXhfgjSRKZWa8C0Lnzzeh0Lez9vfkNAmsOgmcwzJzfxHLsZF5efYQd2dWE+Oj5ZM4gV4uIdkpSYe1xa4zXLu2LQfen55YkWP0giA4YfAOE9/1P9/PyikcQ1ARQffy1uDilvoRCy2C3WclLOgBAwqChx1/f93seAH3GRTXx5JXsdspffgWA4DtuRxPQ1MrLKTp5YusTWJ1WpiVM47zO/z6aX+Hf81XKVwDM7DoTP70ceSlJEvUrVwEQNGNqk/YePrKANOjCaSgotGV+Kauh2u6kn4+BIX6uli5FRQuw26vx9e1HcNB4l+OiKLJ27VoAzj33XDw8XIN6JFGi9mhhP59zo9D4613anM1IooTxj3wAauIltwFQx6KXBw0ahEbTdF5YX38Ai6UAnS4UP7+mGSw7ahsAGO7f8ex2FIG5DVO/ajUAP0YXIyBw58A7ZW+7n/5PnsCPvBP6ntiNTS6q48pPd1BtsnFutxA+u3aw6wJAod1Q0iCSmh3S5LUghxN//87M6DqjlXql0JE4fPgwSUlJaDQapk+f7uK7XLc6B0taDSpPDcHX93Zbcbi+spwfnn0UY2UFEd16cMnDT6HzcL85Yqy28Mtr+yjPrccnyIOZ/xtEJzdeWR2ZpPWF7F0t24ZMvKk34QlNU9kkUWT1B29QV1ZKaFwCY2f/34ljTlFOg0Mu7Kf20lJRUUFOTg5arZZ+/fqd0WdR6FhYJVhXJVs7TQ7xo6pqA0bjIXS6EGKiXQtnnVZyNsOGF+WfL/kYfN1nRCw9UMT8LTlo1QIfXTOQcL+OsZFrtjm5Z9EBnKLEDaPiGOzOGiN1KeRsBEMAjH/8P99TpdJjMMRhoBGAoZpMPD3bX/SUQtsg/9BBHDYrneK74B0ob1rXVZjJS65CrVHRd2zTwk81CxZgy81F17kzgVe5FrJccGQBSZVJhBpCeWjoQ2fkGRSaUmAsYFXOKlSCimt6XnP8dUtyCvb8fNTBwQSMHYmn3wnf7NBYec6k9+p4UYcKZw+SJPFpYQUAN0WFuGRROZ1W8vI/AyAudq7bLKvS0lKqqqoIDAxk0KBBbu/TeKAce1EDal8d3m6K353tmFMqcVSYUfvrMUZILseNRiOpqakIguD2PSotXQpAWKepCMIJzc3sFNlf34gADHUj/rd3FIG5jWIvKsKSkoJNp2JPnMiU+Cl08+8KS+8AYzFED4Pznj7ePqW4jqs/20lto53x3UP5eHbHiarpiIiixJcpVkSn/G+7Th4UG1UCdw64E60bE38FhdOJyWRi+fLlAJx//vkEBzdN/TTtLaNhSxGoBIJm90QT7CrEGKsr+fHZx6ivKCOsSzcueeQZdAb3kcu1ZY38Mm8vtWWNBEV6M/PBQfh36lhVef+KtJ2lbP4hHYBx1yQS19c1HXfXsp/J3rsLvZcXF9/3CJqTChIZNxfhqDCjCTbgPUIW2Pbs2QPI0cvuohsUFE4XSWgxiyL9fTyJ8tCRm/cRADExN6JWt+DfemM1/HITSCJ5MZdCF/dFbg6X1PPQz0kAPHlRTwZ1buGI6jbEy6sPk11homuot3trDFsj/H5UVB7/BHienvfGy6srNuSIqSDv+NNyTQUFd2TvlYtmn5zRk7KpCCToMjgUg8+J70pnXR0V770PQOhDD7kU9is0FvLOfrmw1hMjnsBH54PCmeeTpE9wSk4uir+ISO8T9ib1K2V/Zd8LLkBQqwk4OpcUBAiKlOc5Gq3O9YIKCm2ELTUNHDFZCNVpuDjU3+V4SclP2GzleHv3IChonMtxu91Obm4uAOedd55LZC6AaHNS/5vcxndSLKp2FrQoSRLGPwoA8Bkb5VYV3bt3L6IokpiYiJ9f04AdUbRRVr4CgLCw6U2O7axrwCZJ9PI24K91nw3XnlEE5jaKabtcxfhArISk03JHvztk3+W0VaD3g5mfHU/fzK5oYM78XdSZ7Uzo0YkPrxmoiMvtnPlbckirEQnVy15hpqNrb61fNJNiJ53iTAWF08Ovv/5KY2MjsbGxLkUPbAVGahZnAHK1YXcFIRrr6/jxucepLSuhU3wXZj76bLO2GJWFRn6Zt5eGaith8b5Mv2+Ai6dwRyf7QAXrvjoMEoyYkUCPkREubfKTk9i68BsApsx9AL/QsOPHHFVmjOvkNDH/aQkIGhU2m40DBw4A7gtbKCicTnYjb4xOCfGjtnYPdXV70Gh8iYy4ouVuKkmw7E4wlkD0cHJjXSMRAeoa7dzyzV4sdpGZA6O4ZnjnlutTG2NjegVfbc9DqxZ48/L+7ueXm1+HugII6wuDrjtt99Zp/bEhCz2+Hop/rULLkXNAtoKKHyh/1zlsTlK3FQPQ+9ym3stVn3+BWF+P57BheI8b2+SYJEk8s/0ZzA4zk2MnMza66XGFM0NBfQHLs5ajFtTc0veW469LTif1q+UMYd8LpwActz4JivTG6bADNNl8V1Boa8wvkqOXr48MRven7FFRtJOX/zEAsbG3u41e3rNnDzabjbCwMHr27On2Hg1binDW2dBGeOE5oP0V+LYcrsZeYkLlq8NrUJjLcbvdftweY9iwYS7Hq6o3Y7fX4OXVFW/vpt7Ma6vqATgvqGNm2SoCcxvFtE0WmA/FClzc5WKizfXw29GCMxe/Df5yJfWiWjPXfLaTKpON0V2Def/qAeg7WKXKjsbhknpe+y0NgAfHyumiRp385XFrv9tQuTHxV1A4nWRnZ3Po0CE0Gg3Tpk1rYo3hNNqo+iYVHBJew8LwHu6aam5tbOSXl56ipriQ4JhYZj72HB7NpCOWZNay+PX9mI12onsGcvHdA/BwY7XRkSlIrea3z5KRRIlBkzszcJKr+FVfUc6Kt19BkkSGzbj8+CIa5AVxzZJMJLuIZ/8QPLrKXpIHDhzAarUSFRVFeLhSRFGh5ZAkiVTkRf74QB/y8j8BICryGjSaFkxV3vc1HFkBel+45BMklev8SRQl7lm0n/zqRnpF+PLCjN4dpqhfg03ifz8eBODe87vRO9JN9fiyVNj6lvzzlHng5j38tzhF8/Eif37K3FahhaivLMdYVYHey4vQWDlSPnNfOVaTg5AYHzrFnhAJHNXVVH8jb9SG3HO3y1iwNGspO0p24Kf3U6wxWpGPkz4+Hr0c4xtz/PWGTZtwlJWhjYnB0L8/IG8mACQMCsVcXweAwadjCkMKbZ8yq501VfVoBLg63LUGTVnZMiyWIjw9E1wKzwHYbDa2bNkCwPjx493OZ5xGG8YNhQD4TYl36018NiNJEvVHvZd9xkQhaF21k6SkJEwmE2FhYS4F7AFKS5cAEBY2w+U9XHdUYJ6gCMwKbQVJFGnYvg2ApFiBOYlXwZLbwWmFgXOgl+yvW2G0cs1nOymuszCocwAfzx6kiMvtHIvdyT0LD2BzioyN1jDUfgiARi1oVRqmJShFKRRaFofDwcqj6YVjxowh4KTCNpJTouq7wzjrbehiffGfmuB6vs3G0teeoyw7E/9O4cx89FkM3u7TRxtKJZa9cwCb2UHCgBAuvK0vWr0yxp1MSWYtqz5KQnRI9B0XxbCLXdPIbRYzS159FnN9HZ37DmDkZU2jNM0HK7Bm1CIYNPhdJJ/vdDrZunUrACNHjmz5B1Ho0ORbbFSiwl+jprNQRGXlOlQqPdHR17bcTSszTxRMvvB1CHAflfzBhkzWp1Xg76nlo2s6jv2YJMlWXOVGK0NiA7hljOt4jijCintOFPaLcY3y+afkma0M2JbCJfszSarOpxp5Aa0WZF9DBYXTTdGRVAAiE3siHN0wT918Inr5ZPGg6tPPkBob8Tp3DJ4DmhZ1qrPW8fqe1wF4aMhDBBmUAsStQX59PiuyV7hELwPULlwEQMBlsxAEgdyD+yjNKgLA1phNdbEsqnkFdBwLJIWzix9Kq3FKcH6QH6H6pgE3kiSRl/8pALGdb23iC3yMXbt2YTKZ8PHxoWvXrm7vUb8uH8nmxKN7IB5d/E/7M7Q2lsPV2AsbUHlr8RrqGr0siiLbj7oJjBw50kVAtttrqKxcCwiEdWpaKDSr0UKO2UaARs1A345p5fivBWZBEL4QBME1B1fhP2PNyECsqaXSBwIiepJw5FcoOQB+0TBJLkLTYHVw7ee7yKk00TPcl8+vG4KnruN5vHQ0Xlp1mLQyI1GiiVn+NVhXfwhAjbfAyIhRLkXW2hPKmNM22LZtG1VVVQQFBbkIj/VrcrHl1qPy1RF0dQ8EzZ/StpxOVrz9CgWph/AKCOTSx5/Du5lJfO6hSvI3SThsIt1HhjPxxl6o3ewwd2TKcutZ8d7B4+/RObO6ukyCJFFk9XtvUJGfS0B4JBfd8xCqkyIMnQ02apdnA+A/JQ61t5wWmpSURF1dHcHBwXTv3v3MPVQbQxl3zgzbT6q2XVK8EJCjQnS6FrJFcNrhlxvB3gh9ZkHfy9w225ZVyRtrZF/zNy/vT3Rgx1ksLNhVwJ4yJ956DW9c1h+1uwimvV9AwU7wDoPznjot94320FHncLKnpgo/WzLVyN8RHxZUELcpiSsPZp2W+7RllHHnzHJMYI5IlFPF6yvNlGTVodGp6DLoRGq4vbycmu+/ByDkzrtcrvPOvneotdYyNGwoF8VfdAZ6ruCO9/a/h1NyMjVhKtG+0cdftxcX07B5M2i1+M2Qg7UkPLBZDUiSg+0/vE1lfi4Av7z0NFWFBexduaQVnqB1UMadto8kSSwoqQbgqnDX9VN19RZMpgz0+jA6/Un4BLBYLMeDR+Li4txGLzsqzZh2lYIAfpNjT+8DtAEkSaJ+TR4APmOj3XpLZ2VlUVlZiY+PD7169XI5XlKyGFG0ERQ4Gg+Ppn8yx6KXxwX5ou4g2W5/5r+s1n8ClgqC8JIgCB0z/ruFaNi3D4DD0QIXePSH9Ucrm1/0Fuh9cDhF7vx+H6kl9cQGefL1/w3Fz6CkjLd3lh4o4qvteWgkJw9s+oyQ8p2ItZUAVPnCkM92kHvNNYiNja3c0xZDGXNamZqaGjZt2gTAhRde2KQohCWtWk6nEiDoiu6ofZr610mSxO8fv0vWnp14eHlz6aPPNvEAPpnsAxWs/ugQkgi9x0Qy/pruqNSKuHwy5Xn1LH/nADaLky6DQhl3TXe3KWzbfvqezN3b0Xt6Mf3BJ5pYkUiSRM3iTESTHX28H56DOgHyzv2x9LnRo0e3642rv4Ey7pwBth0TmH09KCldDEBUpHs/5NPCxleheL+8cT9lntsm5fUW7lpwAFGCueO6MC6x/XkQNkd6mZFnlqcA8MKM3u6F9foSWPu0/PPkV8Dgf1rurRIEenh50I996LFRQlP/2yvdpAS3Q5Rx5wxSlHY0grm7LDCn7y4DIK5fCDqPE/Ocqs8+Q7Ja8Tn/fAy9m4oOKVUp/Jj+IxpBwyNDH+kwNjptjeTKZFbnrkan0nF7v9ubHKv96ScQRXzPn4AmSB5HGuu9EQQB0VEAOI+3ddisOGxWwrt2qA12Zdxp4+yoM5FtthKm0zIu0PUjKij4HICoyNmoVK7a0M6dOzGbzcTExDTJQD2ZujV5IEp4DuyEtpPX6X2ANoAlpeq497L3MPfr0G3bZCeBYcOGoVY3FaAlSaKoeAEAEZGuNUJWV8o2Ox3VHgP+g8AsSdJKYBiQDWwRBOFOQRBOawitIAgXCIKQJghCpiAID7s5LgiC8M7R40mCIAw8nfdvLXL3rgfAGBfMtNwV4LBA3yug6wQkSeLZFamsT6sgwFPLl9cPJdhbKXbV3kkrNfLwz7Idxr2aAhJr80k0/YrJLP/JVXtD71QT+vgEVM0USjvbORNjDnTccefv8Mcff+BwOOjduzfx8SesGBx1Vqp/kH3BfSd2Rh/v6tO57cfvSdm4Fo1ez4yHnyY4JtbtPTL3lvPbJ8mITonAbjDmym7tzvvrv1KRb2TZ2wewNsrWIRNu6InKzXt0ZOtGdvy8EEFQcdHdDxIYEdXkeOO+ciwpVQh6NQGzTrzPqampVFVV4e/vT+/evc/IM7VVlHHnzLC3Tt4Y7SYewOGow8enDz4+rlEjp4XiA3JROoAZH7kVRh1OkTsX7Keywcrw+EDumeA+jbQ9YrE7ufP7/VgdIqMiNEzrH+naSJJg9f/AWg/dLoCep9eeq6e3gaHI6akVnBD2E708uCjEjQ90O0MZd84cot1OZUEeKrWasPiuSJJE+i5ZYO42tNPxdo6aGmp//AmA4Ll3NL2GJPLijheRkLi6x9V0Cehy5h5A4TiSJDFvj7xheE3Pawj3PlE7QrLZjn9+/pefEIUKj8jRhqI9x+V6Ok9PIrp1HIFZGXfaPgtKqgC4PDwQzZ/m/Q2mDKqqN6FSGYh0I3xarVZ27NgBwLhx49xugtmKGjAfrACNgO/57a+YsSRKsoAO+I6LRnBjeVZUVEROTg46nY5Bgwa5HK+t3U1jYzY6XSjBQeObHCu12tlRa0KvEjhfEZj/HZIkicA64C3gKeCwIAgzTkO/EGTTmPeByUBP4EpBEP5c5nIy0PXofzcDH56Oe7c2DSlJAMTFxxFYmwKewXDBSwB8sTWXr7fnoVOr+GTOYGKD29/OkkJT6i12bv12L2a7k0sGRnJFoh9+cWb8HMWUmOUoUQ8beIlagm+7tZV727K05JgDHXvc+SuKi4s5dOgQarWaCRMmHH9dckpULziCaHKg7+qPz7nRLuceWv87O35egCComHrPw81O2NN3lfL7Z8mIosTASTGEDRCUKKA/UVloZOnb+7E2OojrF8z5N/ZC7Sa6uzA1mV8/eBOAc2ffQGz/ppMkR42F2mVyqrn/1AQ0AR7y6w4H69atA+Ccc85x2bnviCjjTsvS6BTJNltRI+FZLaefR0a4Lo5OCw4rLLkNJCcMuw1iz3Hb7K21GezMqSbYW887Vw5A04EyKF5YKVtxxQd7Mbunzn2j5J/h8HLQ+cgR4Kd5nO7lKTCAvTTgjVXwQCvJ3sv3x4ah6iDfCcq4c2aw1FaDJOEfFoFGp6OqyERNiQkPLy3RPU+koNcuXIhkNuM1ejQeiYlNrrEkcwlJlUmEGkK5rf9tZ/oRFI6yoWADe8v24q/358Y+NzY5VrdyFY6KCvRdu+A5VC5y7HSK5KfKdgPuBGZv/47nw6yMO20Xi1NkVYUcHXtZmGv0cUHBFwCEh1+CVuvvcnzPnj2YzWaio6PdFq0DqPstFwDvERFo/NtfAKM5uRJHWSNqPz1eQ9xHLx/L1B0yZAgGg8Hl+PHo5fBLXaLEV1TUIgHjAn3w6cB10f6LB/NaQRAKgS+RB4jbgUuBKYIgvHUa+jYUyJQkKVuSJBuwEPhziMQ04GtJZgfgLwjCWV3qvsZUhV+hPHiMNO6VXzzvCfAMZGN6Bc+tlNO4XpvVlyGxHe+Lr6PhcIrcvWA/OZUmeoT78sL0PngkRBPSV95xt9fJA1tsmYT/ZZehDT+rf/1PyRkYc6CDjjt/hSRJrFmzBpDThfz9/Y8fM24qkH2XfXQEXp7oEm2ce2Avaz55D4Dz/u824gcOcXuP9N2lrP0iFUmCIRfGMnx6giIu/4nKQiNL3zyA1eQgtm8wk27q7VZcriosYMm853A6HPSfdBEDpzT9FZZEiZof05GsTjx6BuF5ksfk3r17qampISgoiAF/KmDUEVHGnZYnzWRBAiKwYarbjlrtSadOLeRfuvFVKE+FwHg470m3TbZmVvL+hkxUArxzZX9CfTxapi9tkF+TS/lmhxzE8M6VA/DQuBmDjWWw6gH550kvgL/rpuJ/patzHwYs7GQEACGig+4dJHoZlHHnTGKulq3mgqNiAMjaVw5AwqDQ49+vosVC9TffAhD0fzc0Ob/R3sg7+94B4L7B9+GlVQJ/WgOH6ODNffKm+q39bsVHd6J4tCRJVH8+H4DA6284PrcszarDZnbg4eVEEuuaXC+6Zx+0Hh1n7Adl3GnrrK+up8Ep0sfbQIJn099Nu72W0tIlAERHXedyrt1uP160bvTo0W7XV5asWqzpNQh6NT5jT//3emsjOSXqfz/qvTw+2qVOEEBZWRlpaWloNBpGjBjhctxmq6K8/Nf/Z++sw6M63jZ8n5W4uxMS3IK7tkWK1IC60VJ3/1W/urt7S5XSQqGlBYq7SyABQkLcPZtkfc98f5wg6W6oEWLnvq5epDuzm/ec3czOPPPO8wISUS4SIX4prQbg/DDX9iMdhb889iBJ0q/AZUKIuj813Q8cEEI4/vT4DZIkHT4NsUUDeSf9fz7KsY2/6hMNFP35xSRJuhFlF4zw8HDWrVt3yl9eV1f3l32agz2Zv3GuDWr8NPQ052HwjGOPIZay39fw5FYTQsD5iXr8q9NZty79jMXVUvejNcZxpmIQQvDNIStrc+346GFOVxvbt2wk/ujXxHvKpLrHEWiwY9eA/6S5HOqVxOEWuDen+3604JgDHXTc+as4KioqyMrKQqfTIUnS8TY3A8Ru1SAhkdfdxJFdWxq9jrG8lLTF3yNkmYgBw6jSe7q8vppcQf5WAQJC+0gYfXNZvz63VdyP1hADQEV+PT8t2onDCj6R4Nm9go2bNjj1sxnrObzoW6z19fjHJ6KJ78b69esb9Qk8KhGcqcHuJjgUXopjvbKgttvtbN++HYDIyEg2btzo9Pqt5X6o4077GXfWCDfAi2hHAWhAdvRl06Zdp/33+BrSGbjndUBib6cbMWzZ4dSnqKqOF9fuUOZaXfRY81JYl+f8Ws1NS7wnpUaZ/9tiAmBmVx3l6Xud4xCCPikvEGKqojJwAPsNcdAMcTrkeQBU2geCHuIcVuYYCtiwvvi0/65/gjruuB53/umYAy0/7hzDUKJcSq1DZt26dRzdqmTL10mFrFuntHlu2IhfZSW2uFh2mkyNPvO/V/9OhbmCeLd4vHK8WJe77s+/4i9pLfeiLcex1rCWrJosQnQhhBeHs67kxPPdDqQQmJ6Bw9+ffX6+x9+/ot3Ke+0RKYjpfQFVB5Opz8vCv3tvAoaNbRX3ozliUMedv+7XnPzbGD4RXoAbfeoqnZ4viz8QwgL0YefOXCC3UXtBQQF1dXX4+PhQUFBAYWFh4zgERG/X4IlEeZyN9J2b/8WV/TvO1HvilycRVq7B6iXYVZ8G69Kc4li4cCGgfJ527XKeh8riF5R9kSS2b08HTmhx5UJiB/64IfA8mMy6Q/88xtbw+TwdcfwdX52pgBdQByBJ0g/ArUKIfQ3/rwF8hBCGPz3nv+IqdU38iz7Kg0J8DHwMMHjwYDF+/PhT/vJ169bxV32ag/X7lV1wN287AJnd5jJ89HhmfbiFepuJCd1DeeOaIS79NpuTlrofrTGOMxXDZ5uyWJ17EDethi+uH6ZkrJceho2/ALDSFM1kcqjwgeH1NsJPsi04kzTD/WipMQc66LhzqjiEEHz88ceA4tk1atQo5XGbTMm7e7ELI94jIhl2fmPPwfrqKr555B5km40eo8Yx9fb7kFwUi8vYXcrBbakgYPDUeIadd8LbuTXcj9YQQ3FmDT8v3I1sg/h+IUy5oQ9avfO9tJpNLHjqYay1BiK6dOPiJ55H7944y8F8tJryFQdAgogr+xLf7cQu++rVq7HZbMTGxjJz5kyXGQ6t4X40UxzquNNCrE7Ph/xyOmmU2XifPtcQFnaa47Fb4eOHARlG3M7Ayc7H2GVZcMEbK6ixOBjaOYjXrhuOtoX838/0e2K2OZj14RZMdhMTe4Xz/FWDjm8mNopj/wKo2A7ufgRd+w3j/WOafM1/i8VSwuYtB7ALLb/pkgAIQmbG2We1uD2GOu647POPxxxo+XHnGBm/LwJg0OhxxPQcQur8zejcNEyZNQadXosQgswXX8IKxN99N/0mTDj+3DJjGQ/+/CAAT531FAPD/51VbGu5F201jjJjGQ8vfhiAJ8c+ybjYcY3acz7/AiMQeeMN9GlYKzkcMvN+2wzYGDO1Lz8+9fbx/rr6WiZOnsL69etb/H4003uijjstyL+JweiQ2bc5BRwydw8fSCfPE/YVQgi2bX8eoxH69r2VsNDGr+1wOHj7beXzPXXqVHr16uUUhzmtkvLqVDTeOvpeOQSN+2m33m6SM/GeyFYHxa/uQsZKxPk9SUgKderz+++/U1ZWhkajYfbs2Y1O6wLIsoXNWx7CaoUB/e8nKGhko/b3c0vhaCGTQgOY0uffnQBtDZ/P0xHH37HI+PMf+VTg5DNqoUDlyR2EEJn/OqIT5AMn5+fHAIX/ok+bodZaS1WOshMS5G6GblOoCujHE0tSSCkwEBfkxZuXDDjj4rLKmeeP1GKe/bMdiuyAX+4Ah5Wq2k5UVClZh1o0BN94Q0uGe7ppqTEHOuC481dkZGRQVFSEt7c3Q4cOPf54zcps7CVGdCGe+J/budFz7DYbS157jrqKcqK69WTyLXe7FJcz95ax8rNUhCwYNKUTQ2d0durT0SlMr+aXt/Yh2yBxQChTbnQtLtttNn557XlKMjPwDwvnwgefcBKXHXVWKuengQDf8bF4nCQuV1ZWHj8+N2nSpI5oT6KOOy1EjskKQCSpaDSeBAePPf2/ZMvbijVGYGc46zGXXT7fnMX+Mgf+nnrevKR/i4nLLcGzvx0kpcBAbJAnr85Ocv33X1MAvz+g/DzlBWgGcRmgsOgnhHCQ7zYSm6QsontqRYuLy82EOu60MBaDYo0QGBlFTqpSQCumRxC6huJPxu3bsWZnowsPx3fSpEbPfW/fe5jsJs6KPetfi8sq/53Xd79Ona2OcTHjnMRl0759GHfsQOPjQ8DFFx9/PP9wFaZaG4ERXsT2jMA7KPh429ALZrf3OZA67rQxVlUYMDpkBvh6NRKX4VjRuaMui84BpKSkUFNTQ0hICD16ONfAEeJE4TvfsbFnVFw+U9RvLUQ2WNFH++DZN8Rln9zcXIQQJCUlOYnLAMUlv2K1luPj04PAwMb2GUKI4wUYZ4WrFranq2pJc1Q/2Ql0lSSpsyRJbsClwC9/6vMLcHVDtdHhQI0Qwum4aFthW9E2AgzKcR0vTwec9Rhbixws2JWPu07DB1cOxN9L/xevotLW2ZFVyZ3z9yIE3D+p24kK7js/hfwd4BPBypghRBabAYjuPQRdcPApXrFd0lwVlzrcuPNXHLNJGDlyJHq9Mv5YcgzUbSwACQIv7obG7UQhAyEEqz55l6Ijh/ENDuW8+x5Bp3cet7IPlLOioaDfgElxDDs/ob1P6P8x+WlV/PrOPmwWB35xMGlub7QuPMNk2cGyd14lZ/9evPwDuOjhp/HyD2jUR8iCyh/SkGutuHX2w++cE9WhhRAsW7YMu91Ov379iI1tf95rpwl13GkGii02AIKoICRkAlqtc1GV/0TFUcV7GWDGm6B3fv2UghpeWq6cAH5lVj+iAk5zDK2YJfsK+GZbLm5aDe9fPgh/TxfzTFmGxTeDuRq6Tob+VzRLLELIFBb+AEC1/0xAUUKStC6T9TsK6rjTjNiM9QD4BAWTc0ARCDr1OTGnrpqvfB4DZs1C0p0QXo5WH+XnjJ/RSlruHnT3mQtYpRG7S3azNHMpbho3Hhr6kFN7WUPmZuAVV6D1PeHLfGSHYrfTdUg4kiQRGK4U/NLodPQcPb75A2/9qONOK2JFubIRNiMswKmtsHA+4LronBDiePLIyJEj0bhI9jEfqsSWX4fGR4/3iPZndS0bbRjW5gPgPzneqVYQKFaQxcXFSJLE6NHOxZ+FEMeLKMbGznFar+4yGEk3Wghz03F2sF8zXEXb4nRtUZz2mZ8Qwi5J0u3ACkALfC6ESJUk6eaG9g+B31F23TIAIzDndMdxJtmYv5Ewg3Ir9Z17kO+eyNcHFQ+dp87rTe+ojlHcpCOTUlDD9V/uxGyTuXRILLdNaLAdqMqBVU8BIKa9xk873+GOHOWzEnpzh6xY3SyrzY447pyK7OxscnNz8fDwYPDgwQAIh0zVovSGLNgY3OMaf5HuXvozqetXo3N354IHH8c7wLnQQcGRKpZ/nILsECSdHcuIC9WCfn8ma385Kz5OwWGX6T48Am1cCRoXBf0UQf89jmzfjJunFxc9/BRBUdFO/QyrcrCkV6Px1hN8WQ8k7Yn7fejQIdLT03F3d2fixInNel1tHHXcaQYKTxKYQ0NOs9WTELD0bnBYIOkySBjv1MVkdXDX/L3YHIKz4nRM6u26snh7JKO0jocXHQDg8Rm96BvTxDxz67uQtQG8Q+H8d6GZxuuKivWYzQV4eMRQ5zEAKKerlztupmb5dW0FddxpJmxWCw6LGY1Wh4eXD/lpVQDE9VYy0Ozl5dSuWgUaDQGzZzV67vv73kcWMhd3u5jO/urpq5bALtt5fvvzAFzX9zpifRtvjtfv2EH9lq1ofH0Jvu7ER9dmcZC5Tynu2G1oOAC6hhNfUd16qvNRBXXcaSU4hGBtpeJWMvFP4qXNVkVp2TKUonOXOD03Ozub4uJivL296du3r1O7EALDsezl8bGNEobaC7Xr8xFmO+6J/rh3DXDZ55jf8IABAwh2kbRXVbWVurrDuLmFEBE+w6n920Jlc/LiiCD0Hej0W1P8XYF5jiRJ64F9Df9/RlIJhBC/owwyJz/24Uk/C+C2MxHLmWBLwSauaphES4Nncu+CZEx2mNQrnEuGqBll7Z2M0lqu/nwHtRY70/pG8tyFfZVJjsMOi24EWz30uoDk4BiqywsIMQAeHngNGdLSoTcHLTLmQMcbd07Fsezl4cOH4+6uHMmq3VCAvcSINtgDv7PjGvXP3r+XDd9+CcC5t95DWHwCf6Yky8Bv7+3HYZPpNTqKUbO6qJP5P5G2vZjV8w4hZEHvMVGMu6w76zeUuuy78ft5HFjzBzq9Gxc+9AThnROd+phSyqldkwcSBF3aHa3fieN1FouF5cuXA3D22Wfje1KGTwdEHXfOMBZZptxmR4MDf2oIDBz510/6JyTPV4RRzyCY9JzLLi8uO8TRsnq6hvlwaXf59P7+Vkydxc5NX+/CaHVwXlIUVw6Lc92xKBlWP638fP774BPWbDHl5HwEQEzMlZTVK3WmpocGQG5Js/3OVoA67rQQ9VWKoOwdGEhViQmryY5PoDt+wcoJhupFP4Pdjs9ZZ6GPOLHxdKTqCH/k/IGbxo0b+93YIrGrwLzUeRypOkK0TzTX97m+UZsQ4nj2ctC116D1P7F5dmRHMXaLg4gEf/xDvQCwmZVTod2HO2cvtlPUcaeNsNdgpNLmoJOHG128GttjFJcsRZatBAWNwdPT2bZqyxal+PrQoUOPn0I9GXNqBbaiejR+bvgMa3+b6/ZKM7WbCwDwn9LZ5XqztLSUAwcOIEkSY8e6tmjLyVE+njHRV6LRNH4Pau0OlpRWA3BZpGqPAX/v+MM64CFgC2AAvIGXJEm6S5KkMUBAs0XXgSipL6HEVIanTRnfV1QFsyOrEn93iRdn9lMFmHZOXqWRKz/dQWW9lXHdQnnjZP/H9S9B3jbwjYRpr/NZymf0ache9h092qW3bRtnHeqY0+KUl5dz9OhR9Hr9ce9le4UJw2rlVEXgBV2Q9Cd2ug3lpfz29isIITN85qV0czFJryioO2750HVIOOMu766ObX/iwLp8Vn15ECELBk7upNyjJnbDt/+8gJ1LfkKj1TLj3oeJ6dnHqY+tuJ7KBUqlZP9zO+PRtXFG+dq1azEYDERGRh7PUu+grEMdd844ZValoLG/qEZDBO7uzoVX/jXGSvjjUeXnyc+Dt3NWyvojZczbmoNeK/HGJf1x03aM8UgIwf0LkjlaVk+3cB9euKivy7FY47DAwrkg22DIDdBtkotXOz1UV++iumYnOp0f0VGXkVKrZFyMCvRptt/ZCliHOu60GPVVis2sT0AQRUeVI+iRiYoQKYSgeuFPAARecnGj532YrIgNs7rNItw7/EyFq3IS2TXZvL/vfQAeH/44HrrGNSfqN2/BtGs3Wn9/gq655vjjQggOrFcEpz7joo8/Vl2iODBE9+x9JsJvadahjjtthtUVSvby2cF+Tt/TxcVLAIiMuMjpeWVlZaSnp6PT6VzP7wUY1uYB4DcuptGarr1Q80c22AWe/UNxi3WdQHMsezkyMtKl93KNIZnKqs1otT7ExFzl1L64tAqTLDPc35tELw+n9o7IX2YwCyHOApAkKQEYdNJ/jwPHZPoObY52OkgpU44oBlplQMP85BIISuD6Pm4Eebu1bHAqzUpuhZHLPtlGscHMkPhAPrxyEG7HfFazNsKGVwAJLvqYZGM+6/LW8WC2BpDxHtcMxZBaGHXMaR3s2rULgL59++Ll5YUQgqrFGWCX8RoQ1kiodNhtLH3jJcy1BuKTBjJy1uVOr1dTZuKXt/ZhMdqJ7xfC2df2VAuWnoQQgj0rcti2WKmjMuLCRAZO7tRk/52/LGTT/K9Akphy6z0kDHQ+yeCot1H+1UGEVXnPfMY0ts7Iyclh27ZtSJLE9OnTXXqzdRTUcadlqHcoGcOemJBwLj7zn1j7PBgrIH4MJF3q1FxVb+WBH5MBuGdiN/pE+7Mu/fSG0Fr5cH0my1OL8XXX8dFVg/FuoqhPl4zPoPwIhHSHSc80a0w5uR8DEBNzFQU2PYfqzXhrNQzy82Zbs/7mlkMdd1oWq8kIgLu3N8WZisAckRgAgDklBVtOLtrQELxP8uRMq0xjZc5K3DRuXN/3eqfXVGl+ZCHz5NYnscpWzks8j1HRoxq1C1mm7PXXAQi+YS5anxObVMWZBiry6/D01dNloHIao7Ign/qqSjx8fAmJaeIkRztCHXfaFscE5nP+ZI9hNGZjMOxFq/UmNNTZ3m7bNuWbMykpCW9vb6d2r3KwFTR4Lw9tf9nL1rxaTPvKQCfhPzneZZ+ioiIOHjyITqejUyfXa67sbGUjKyb6CvT6gEZtQgg+zVfsdq6M6nD1sJrkb3swN1QPzQR+PPaYJEnxwGBALZ37H0k5+hsAvjZlgV8v6bhkcCz9QipP9TSVNk52eT2XfbKNohoz/WMD+OzaIXge8z+qr1CsMRAw9gHoPJZ3VszF3SoYkK0Icz6jRjX94m0cdcxpORwOB3v37gVgSIMFi/lQJZb0aiRPHf7TGvsNrvvqM4oy0vANCeXc2+9zyqo3Gqz88vY+jAYr0d0DmXxDb7Qu/IQ7KkIWbF6UQfIqxcZi/OXd6T3G2Uf5GLt/W8yGb78ASWLyzXe5LEgjHDKV3x/GUWlGH+1D4EWNrUgsFguLFy8GYPTo0URHN/37OhLquHNmMcuKwOyGFUk6jQJz8QHY9RlIWjj3ZSfPYCEEj/x8gNJaC0Pjg7hprLO1THtlY3oZr6xQChq+cUl/Ooc4LzwBOPATUUUrQOsOMz91WRzxdFFXl0Z5+Wo0Gg9iY67h82JF7Dsn2A+PDvBdoY47LYPdZgVA5+bmlMFsWKqsy/ymnIukPZHZ99F+xcZldvfZhHk1n12MStP8dOQndpfsJsgjiAeHPOjUXrN4CeaDB9GFhxN4ReOCpAfWKcW+eo6KQqtXxpaju7cDkDBgcHs8Fdok6rjT+im32tlfZ8JDIzEioPFpnmPZy6Ghk5yKI5tMJvbv3w8oNod/RghB4FHls+47tv1lLwshqP5NSdjxHRWNLtB1ZvHq1asBGDx48HEryJOprTtMefkqNBp3YuOuc2rfVFVHWr2ZMDcd57kowNhR+U9F/oQQ2UA28NPpCKYjk1qo7DLphSdgwtPbk/+d24PknVtaNjCVZiOzrI7LPtlGicHC4E6BfDFnCL4eDf5IDjv8dC3UFkLMUBj3P7YWbmV78XbOzvZAa6nHmpCAPiqqRa/hTKOOOWeG0tJSLBYLMTExREZGIuwyNb9nAeB/ThxanxOnKg5vXs++FUvRaHXMuOd/ePk1LhJlNdtZ+m4yhjIToXG+TL2lL7p2NpH5LzjsMqvnHSJ9ZwkarcQ5c3rRdXDTR273Lv+VdV99CsDEG26nz3jnomhCCKoWZWDJqEbjoyf4ql5Ok8eVK1dSVVVFeHg448aNO70X1c5Qx53mw2RXfHbdsADOnu3/CiHg9wdByDDsZgjv5dTll+RClqUU4+Ou47WLk05YUrVz8iqN3PH9XmQBd57dlXN6NTHWlGfAr3cpP095ASL7NWtcmZlvABAVNRs3t2B+L1dSyaeGdtzi1uq40/zYrYrALGn0GMpMaPUagqO9EQ4HhmXLAPCfNvV4/6yaLFblrFKyl/uo2cstQXF9Ma/vVrKTHxn2CP7ujccIub6e0jeU9rD770PjeUJ4q6+xcHRPKUjQe8yJ9dPR3TsASBw8rLnDb/Wo407rYntNHQCD/bzxPGmzVQhBccliACIiLnB6XnJyMjabjc6dOxMa6mw9Zjlag2e1hMZLh/ewyGaJvSUxp1ZgzTag8dbhO8F1HbOjR4+SkZGBu7s7Y8aMYefOnU59jmUvR0VdgrtbiFP7x/llAMyJDsGtA21O/RXqnWgNGCvJtlYDUO5QdqduHBFLoGqN0W5JL6nlko8VcXlo5yDmXTf0hLgM8MdjDRXbw2D2l8gaDW/teQuAWbnKF4F58KCWCF2lA1BUpHjRHfPsqttahL3chC7UE+/hJyYi1SXFrPzkXQAmXHMDkV26N3odh11m2YcHKMutxS/Uk+m3J+Hm8Z/2NdsVVpMivqfvLEHvrmX67UmnFJf3/fE7a75QsqfOvv5W+p092WW/2jV5GHeXIOk1hFzTG11A4135o0ePsmvXLjQaDRdeeCE6nfqeqLQMBotytNBdIzhtto8HfoLcLeAVAuMfdmourTXzf7+kAvD49J7EBnmdnt/byqm32Lnhq11UG21M6B7K3Wd3dd3RZoIfrwVrHaWho2Gwc9bO6aS6Zjdl5SvRaDyJ73QbJRYbO2vqcddInB3k99cvoKLyLzkmMDvsynI4MMILjVaDcfdu7KWl6KOj8UhKOt7/64NfIxDMSJxBqNdp9ItX+VvIQuaxzY9Rb6vnrNizmNTJ2RO+/JNPcJSV45HUD79p0xq17VuVh+wQJCSFHi/kaDTUUHTkMFqdjvgkNWlXpXWxrVoRmIf/KXvZULsfkykXN7cwggJHNGoTQhwXS4+dQv0ztWuUejo+o6LRuLevpB9hk6luSIryO6cTGhfrTlmWWblyJaCc4nRlIVJXn05p6e9Ikp5OcTc4tWcaLaysMOCukbgqyll87sioq8pWgO3wUkq0WiQBBskbKGN8J3VS3V7ZnVPFdV/upMZkY2RiMJ9eMxgvt5P+FPd+A9s/AI0eLvka/KNZeORHUitSiZNCCE7OBUnCMlCdCKmcfqqqqjAYDOj1enr16oWj3na8sJ//tASkhh102eHg93dewWoy0XXYSJImTW30OkIWrJ53iPzDVXj6uXHenUl4+ambZseor7Gw9N1kyvPq8PRzY8btSYTGuS5AAVCSvJvdW9YCMOHaG+n/p/t9/HX3lGBYmQMSBF3aw6moRV1dHT///DMA48ePJyKi/fmuqbQd6oy5gD9uWi8kx2nIIrYaYeXjys/nPAmeAY2ahRA8+nMK1UYbY7uFcvFg15kt7Q1ZFty7YB+Hi2tJCPHmzUsHNO2Bv/xhKDkAQQmkdb+NsGYsxCqEICPjZQDi4q7D3T2UX/LKEMD4IF98dO1r4avSunDYlSKjDU4ZBEYoIkPt8hUA+E2detxaqsJUwS9HfwHg6t5Xn+FIVQC+PfQt24u2E+QRxOMjHncqeGYrKKDy8y8AiHj44UZ2F+Y6GykblOJ+g8494bWauXsHQsjE9ErCzbNjbDaqtB22VdcDMDygsQBaVqqMUWFhU5Ckxt+TWVlZVFRU4OvrS/fujRN/ACy5BiyZNTh0Ap+R7e8kdO2mAhyVZnRhXk16S6ekpFBcXIyfn59LCxE4drJKEBU1Gw8P5/v0aUP28szwQELcVEn1ZNQM5lZA8aHFyJKEh90Di1YRYITF3MJRqTQHaw6XcMWn26gx2TinZzifXzuksbictxOW3qP8PO1ViBtOpbmSN3e/CcDDdWPBasVr8GBkF5VOVVT+K6mpSmZf9+7dcXNzo3ZtHsJsx71rAB7dTxT227rwe4rS0/AJDmHijXc4TfS3LclUMnM9tMy4PQn/UHXifoyq4noWvbKb8rw6/EM9mfnAoFOKy9sX/0h+g7h81nU3M/Dc81z2Mx+tpmqhcrQ8YHoCnr0bF5yQZZlFixZRV1dHp06dGNWOPdxV2gayOQcAu/Y0bapvew9qiyAyCfpf4dS8ZF8hKw+W4Ouu48WL+jqNW+2VN1ensyK1BF8PHZ9cMxh/T73rjsk/wO4vFN/l2V/i0DXvuF1esYaaml3o9YF0irsBIQTfFFUAMDs86C+eraLy39A2nN4x15oACIryRghB3fr1APiec/bxvj+k/YDFYWF8zHgS/E+TnY/K3yajKuP4Wuj/RvwfIZ7OGYPFz7+AsFrxmzYNz/79G7XtX5uH3eIgrlcQYSclcR3apMytug1T50MqrQuD3UFKnQm9JDHQ74TALISgtEwRmENDnbP4j2UvDx48GK3WeZO2br3iQ26IFWg825cw6qixULtWSYoKmHEiKepk7Hb7ce/lCRMmoNc7z4cMhv2Ula1Ao3Gnc/ztTu1lVhvfN8xVbohRT7P8GVVgbmkstRQWKMUFzLYQghqOA8pGU0tGpdIM/Lgrjxu+2o3ZJnPJ4Fg+vHIgHif7opZnwPeXgMMKQ+bCoGsBeGP3GxisBkZGjiBqhVLxPuDi2S1wBSodgQMHDgDQp08fHLVW6rcrdhn+UzofF2PyD6awfdECkCSm3n4fnj6NxdGDmwrZsyIHSSMx5cY+pxRPOxqF6VUsfHk3hnIzYZ18ueiBQfiHui6eJYRgy4/fsun7eQBMuulOBkye7rKvNb+Wiq8OgkPgMzoan1HORfs2btxIZmYmXl5ezJw50+XEU0XlTCJZ8wCwSadByKwrg02KlRSTnoU/+eGdbI3x2PSeRAU0X9G61sRv+4t4e3U6GgnevXwgiaE+rjsW7T/hu3zui4pI34zIspWMjJcAiI+/DZ3Ol10GI2n1ZkL0OiaFqCf5VJoXnZuS1GOuV5J6giK9sWZlYSsoQBsYiEefPkq73cz8w/MBuKb3NS0TbAfG5rDx8KaHscpWLup6EWfFneXUx7ByJXWrV6Px9ibswQcatVnNdvavVUS1k7OXDWWl5KbsR6vX023E6Oa9CBWVf8iumnoEkOTriddJQml9fTomUzZ6fSAB/o0tMGprazl8+DAajYaBLk4628qMmA5WgFaiupNo7ks449Qsz0ZYZTx6BePRNdBln+3bt1NTU0NYWBhJSa7nOUczFR/3mJircXd3ti78MK8MkyyYHOJHT5+OMZf8J6gCc0uTuZ5ySamibncE0bWrIgo4qipbMiqV04gQgvfWZvDAT/txyILbJ3ThxZl90Z28q1ZbAt9cBMYK6HIOTHkRgN0lu1mcsRi9Rs9D7udjSUtDGxyM72TX3qsqKv+F8vJySkpK0Ol0dOnShdp1eQib8kXtFq2IElaTkWXvv44QMsMuuJjYXn0bvUbewUrWfZcGwLjLuhHXK9jp93RUjuwoZslb+7AY7cT3C+GCewc2aRsihGDjd1+y9afvkSQN8WdPpe9ZzpkKALZSI+WfpyAsDjyTQvGf2tmpT3Z2NuvWrQPgoosuws9PFW9UWgG2YgCsnAb7nPUvgrUWuk6GzmOdmp/8JZUaU8eyxkgpqOH+H5WN6Uem9mRctyYybYyV8MMVYDfBgCth0Jxmjy039zOMxqN4eXUmJvpyAL4pVDKCLo0MUgvmqDQ7Or0y7lhNFgD8QjypW78BAO8xo5EaNmH/yPmDKksVPYN6MihcrX9ypnl337scrjxMjE8MDw550KndUVdHybPPARB67z3owxsLQvvX5GEx2ons4k/USaLTwQ1rAOgyZAQe3k1svKmotBD7a40AjbKXAcoaspdDQs5Bo2mcgZycnIwQgm7duuHr65zcU7epAAR4DQjD4dFMgbcQlhwDxr2loJMImOa8DgJFgF/fcEJl0qRJaFzMM6qqtlFZuRGt1of4Tjc5tVfa7HxZoNQPubuTajPoivaVF98Wyd2KqcEHLyE4iAAplnLAVljUsnGpnBYsdgcPLzrAoj0FSBL83/ReXDvqT4OepRa+mw3VORA1AGbPA60eo83IY5seA+D6vtfjNm8VFiBg9iw0bqqXrcrp58iRIwAEBwcjGWXqtivij985ccf7bPhuHoayUsLiExkx67JGz68oqGP5xwcQsmDg5Dh6j3HOou2ICCHYvSyH7b9kAtB3fAyjL+7apAeqLDtY/ekH7F+9HI1Wy9Q7HqDIYnfZ115ppvzTA8hGOx7dAwm6uBvSn17XYDDw008/IYRg9OjRdOnS5fReoIrKv8VaCIBZ/Mds+vJ02PUFSBqY+LRT88qDJfx+oBgvNy0vdBBrjOIaM3Pn7cJkczBzYAzXj3a94EJ2wMLroTpXmYNMfQ2a+f6YTHlkZSsFYrt3ewqNxp0am51fSqsBuCJS3ZhUaX6OZTDbbVb0evAJcKdkgyI++Iwdd7zfj2k/AnBJ90s6xNjRmthUsInPUz5HI2l4fszzeOudi3GVvfEm9pISPJL6EXjppY3aTLVW9vyhHJkfOuOEtYkQgoMbFYG597izUVFpbRyoU06z9/FtnCFbVqYUpwsLbZxsJoRg3759AAwYMMDp9Ry1Vup3lwDgOzYGDhae7pBbDCELqn89CoDvmBh0wa6zitesWYPVaqVbt24u10JCCI4efRWAuLi56PXOWdCf5JVR75CZEOTLAD/V/tEVqsDcwliztmCSlN2TpOgw9B6KIGMrUgXmtk5FnYWbv9nNzuwqPPVa3rq0P5N6/2mny26BH66ComQISoDLfwR3ZRf95Z0vk1+XT/fA7swJOY+clVNBqyXwkkta4GpUOgJHjypfzkFBQdSuzwO7jGefYNyilM9kbsp+kv/4DY1Wy5Rb7z7uXwhgqrPy2/v7sZodJA4MY/j5iS1yDa0Nh11m/XdpHNpSBBKMntWVfmfFNLlItdts/P7OK6Rv34JO78b0e/5H4qChFDVkHzd67Vor5Z8dwGGw4hbvR9AVPZ38xmw2Gz/88MNx3+UJEyY0x2WqqPxjhJDxsCpjTrkNxH85rbnmWRAOGHgNhPVo1FRrtvH44hQA7p/UnegOYI1Rb7Fz/bydFBvMDIkP5PmL+jQtjK15Fo6uAa9guPhr0DdvWpMQgiNHnkaWzYSHzyAoSPE+nVdYgUmWGRPoQ2cv92aNQUUFOF7UTbab0Ogk9DoHpl27QZLwHjUSgPSqdPaV7cNb7825nc9tyXA7HCX1JTyy8REAbut/GwPCnEUzU3IyVd99B1otkU8/fTzr/Bg7f8/GZnbQqU8wMSfVEck/eICqokK8A4Po1K9/s16Hisq/IaXBG77vSRYMFksptXWpaDQeBAaObNQ/Pz+f8vJyfHx8XIqndVsKwS7w6BWMPswLDjZv/GeS+p3F2PLr0Pq54Tve9Qm1goIC9u7di0ajYXITJ8FLS3+nxrAXvT6YuFjnk1wGu4PPCpTifvd0crbOUFFQBeaWxGpEW5JMfcPRh1BvX/RukQDYitrPrlJHJL2kluvm7SSv0kSEnwefXjOYPtH+jTvZrbDgashcC96hcOVC8FGOr67PW8/C9IXoNXpeGPMCNW9/DnY7flOnoo+MbIErUmnv2Gw2cnKUglvBPoHUb2/Y5T5LyV62mc388ZHibzr8oksJ7XQiG87hkFnxcQq1FYqv8DnX9nTKou2ImOqsLP8ohcL0anR6DROv603CgKaLQVhNRpa8+iy5Kftx9/LmggcfJ6ZnH5d9HXVWyj49gL3CjD7ah5Bre6Nxa7ywEkLw66+/UlBQgL+/PxdffLHqu6zSarDZKvEQtXhJRoyyF7X8yzGjOAUOLlYK043/n1PzKyvSKDaYSYoN4JqR8f8p5raAQxbcNX8fqYUGOgV78dFVg3HXNfF3n7IINr2uZH7P+gICmt86pKz8D8or1qDV+tC1iyIemRwyH+cpi7bb49RFm8qZwSdIKSQp5Dq8/d2xpKYibDbcu3ZFF6iIkT8eUbKXpydMx0uvZqudKeyynYc2PkSVpYoRkSOY23euUx/ZbKbwfw+DEATPuRaP7t0btdeUGUndUAASjLiwcdLD7t+XANDv7CloNOq8SKV1YbA7yDFbcddIdPE6selbWbkJgMDAYWi1jTdi9+7dC0BSUpLTXF/YHMdr6viObV+nSx11VmqWZwPgPyMBjbvz37MQguXLlwMwfPhwgoOdT0kJYSPj6MsAJCbcg07nbJvzQW4pBrvMyAAfhgaotjpNoQrMLYgpLxlP4aCEAAD0Wj368BgArFnZiP+UzqPSUixPKeb+H5Ops9jpF+PPJ1cPJtzvTxlBDhv8eC0cWQ6egXDVz0oGM1BhquCJLU8AcNfAu4g3+5Dx00KQJEJuveUMX41KRyE3Nxe73U5ERAQhpe4IqwP3BP/j2cubF3xNTWkJoZ06M/SCxkUmNy9Ip+BINV5+bpx7cz90bupkvbKwnt/eT8ZQbsbL342pt/QjPL5p32OjoYZFL/wfJZkZeAcEctHDTxEW77pSvaPOStknB7CXGNGFeRIypzcaD+ev861bt7J//370ej2XXXYZ3t7OR0tVVFoKh0PxFwyRqskVXlT827Ig615Q/h1yPfhFNWranVPF19ty0GkkXryoL9oOsPH1wu+HWHWoBD8PHZ9fO4Qg7yYstQr2wOKGOcWkZyFhnOt+pxGrtYLDhx8HIDHxPtzdwwCYX1xJuc1OP19PxgaqizaVM4N3YIPIIOrx8tNh3LMHAM+G4lhmu5mlR5cCMLubWlz7TPJB8gfsLtlNiGcIz495Ho3k/P1Q+vrrWLOycEtMJOT2253aty3JRHYIeoyIIDj6xLhSVVTA0d070Or19J80tVmvQ0Xl35DaYI/Rw9sD/UnzlorKjQAEBY1p1N9qtZKSopzU6t+/v9PrGfeVIRvt6KN9cOvUvmqw1CzLRpjsuHcNwLNPiMs+Bw4cIC8vD29vb8aOda7RASBYidmcj493d6KiLnZqL7HY+LBhI/zhBDXZ71SoAnMLkpqyh8GAQxcIVGG2m9FHR6Hx88NRUYG9tLSlQ1T5B9gdMq+tPMIH65Qjv9P6RfLqrCQ8/yy2OWzw03WQ9ht4BMDVSyBCKZRml+08uOFBKs2VDA4fzFW9rqLkqafBZsNv6lTcVe9UlWbiWPZy5/jO+G9TJjM+o5Vd7tLsTPYs+xVJ0jD55rsaWWOkbizgwPoCNDqJc2/ui0+gerQ5J6WCPz5NwWp2EBrny9Rb+p3yvlQVFbDohSepLinCPzyCWY8+S0C468IRfxaXQ2/oh9bHWUA6cuQIK1cqPm0XXnghERFqIQqV1oXDoSygQqRacgVU/psM5sK9cHgp6Dxh1N2NmuwOmccWpyAE3DgugZ6R7WtR5YpvtuXw6aYsdBqJD68aRGJoE2KtoRDmXw52Mwy4Cobf2uyxCSE4nPYYNlsFAQHDiIm+EgC7LHg/V5nv3hEXrnrcqpwxdHo9WjdPHFYTGq0F0x4lA9BroGLFsD5/PbW2WnoH96Z7UPdTvZTKaeSQ6RCf5HyCRtLw0piXCPF0Fo3qt22j6quvQacj6qWX0Hg0TuTJT6siY1cpWr2mkfcywJ5lv4AQ9Bw9Hi//gOa8FBWVf0WmUSk82s37xOdaCPl4BnNwUGOR9MiRI1itVqKjowkNbXxSUghB3eYCAHxGRbWr71hLVg3G3SWglQg4v4vLazObzfzxxx8AnHPOOXh4ONuAWazlCPEbAF27PookOSdKvZ5djEmWOTfEnyH+asLOqVAF5hYk/2gKgwF//wgQVRhtRiRJwqNXL4zbtmFOTQW1inaboKLOwp3z97I5owKtRuJ/U3owd0xn54HOboVFN8ChX8DDH65eDJFJx5vf2fsOO4p3EOQRxItjXsRRWET1wkVq9rJKs1NYqNjyhOGP3mxDG+yBR48ghCyz+rMPELLMgCkzCE84sclRnFXDhvlKYcAJV/QgIsHf5Wt3FIQQ7F+Tz+af0hECEgeGcva1vdCfIqO7IO0Qi195BnOtgbD4RC56+Em8A5yLSkAT4rKvs7hcUFDAjz/+iBCC8ePH06tXr9N2jSoqpwuHbAYgXGMAGQr5Fycf1r2o/Dt0Lvg2tlb4ZlsOh4oMxAR6csdZXf9ruK2elQdLeGKJksH0/EV9GZnoOpMHqxG+vwxqi6DTKJj2erMX9QMoLl5MWdkfaLU+9Or5ClJDRuIPxZXkma0keLozNbRjf4eonHm0Hj44rCaEoxZTwxFzz0GDAFiWtQyAaQnTWiy+jkaeIY8vyr9AILgl6RaGRg516uOoraXwYcVeJ+SWm/Hs07txu11mw/dpAAw+txO+QScEJVNdLSnrVgEwaOr5zXUZKir/iSyTIjB39jyRnFJbm6pYi7lH4eXVeNPkWPZynz7OtnqWozXYio1ofPV49Wvapq+tIRwyVYszAPAdH4s+pOnCfnV1dcTGxpKUlOSyT2bm64CZkOCzjteFOJmjRjPfFCnn7NTs5b9GFZhbiOIaM9qqTNBCbERnKDqEya5k83j0bhCYU1KhX98WjlTlr9ibW8Vt3+6hsMZMsLcb714+kBGJLiqgW+sVz+WMVeDup9hiRJ0oWLE6ZzWfp3yOVtLy6rhXCfcOJ/+xe5Ts5enT1exllWZDCHFcYPbPbcheHhGFpJFIWbuKwiOH8PIPYNQlVx5/jqnWyoqPU5Adgn4TYugxomN/4dptDtZ/m8bhbcUADJ4Wz9BpnU/pRX1k+2Z+f+dVHDYbnQcMZvrdD+Hm4XqCpDXzt8TliooKvv32W2w2G0lJSYwb1/zH3lVU/g1yQwZzoq4c7JDzTwXmomTFZkrvBSPvatRUWmvmtT+Uza//m9Hb+SRRO2NPbhV3fL8HWcCdZ3fl4sFNeCnLMiy5FYr2QUAnpaifrgkLjdOI2VxI2pEnAejW7XE8PZXTMfUOBy9nKb6QD3SOQNuOMqtU2gZ6r0CshjJstYU4qqvRBgWhj47GYDWwIX8DEhJT4qe0dJgdAqPNyJ1r78QkmxgfO56b+t3k1EcIQfEzz2AvKsKjb19CbrzRqc++VblUFRsJCPdiwMROjdp2/boIu8VCp34DCImLb65LUVH5T7gSmKuqtwMQFDS6UQKbyWQiPT0dgN69G2+2ACeyl4dFIunaT+Ji3aZC7CVGtEEe+I2PcdmnoKCAHTt2IEkS06ZNQ+MicbPGkExh4QJAS5cuznU8AF7MLMYh4PLIoEZZ5SquUQXmFuKPg8X0lCoBCA6KhSKosdYA4Nmw+2RKTlYF5laMLAs+3pjJqyvSsMuCAXEBvH/FQCL9XQhEpir47hLI2w5eIXDVokaZy5k1mTy6+VEA7hl0D0MihlC/fQe1y5YjeXgQdu89Z+qyVDogNTU1GI1GPNw90GdZEBJ4DQjDYqxnw7dfADD+qutx91KOBMmyYOXnqdRVWYhI8GPkzI69+VFbaWb5RwcozalF56bhrKt70nVw04WqhBDs+X0J677+DISg3zlTOPu6W9A0UYDPXmkmZrsGu8mILsyL0Bv6uhSX6+rq+OabbzAajSQmJnLeeee1q6NwKu2MhiOICVplUyb7nwrMm5Wiowyac7xA7jFe/P0wtRY7Z/cIY2Kv9l00Lqu8nrnzdmG2yVw8OIZ7zjlFtvaaZyD1Z3Dzhct/AG8Xm+GnGVm2kZJ6Fw5HHSEh5xAZMfN420d5ZZRYFe/l88MCmj0WFZU/4+YTSj1HMNfkAeDetSuSJLE6ZzU22cawyGGEerWfrL/WihCCJ7Y8QUZ1BmG6MF4Y/YJL3+WaRT9j+OVXJA8Pol56EUmvb9RuKDex67dsAMZe2g2t/sRrGGuqFXsMYOTsK5rvYlRU/iPZDQJz/EkCc031LgACAgY36nv48GEcDgfx8fH4+TW2ArNXmjEfrgSthPew9pMIZK8wYVilWDsGXtAFSe88f5RlmaVLFQ/94cOHu7QKFMJBWtrjgEBiEt7eiU59tlfX8WtZNR4aifvjVbvBv4MqMLcQG46UMwTleGiMn7K7ml+bD4DXUOU4kHHnTrjE2WRcpeUprTVz34JkNqaXAzBnVDz/O7eH60rttcXw9UVQmgr+sXDVYgg5IchVmCq4ddWt1NvqmdRpElf3uhpht1Py3HMABN94A/qoKOfXVVE5TRQXKwJPmFcQUo1EXZhA661ny/ffYao1EN2jNz1Gjz/ef+dvWeQdqsLDR8/kG/qgbUc74v+UwvQqln+cgqnWhl+IB+fe3I+QmKaLVDnsdtZ++RHJK5Wjt2Muv5Yh581sUgi2ldRT9lkKepOEPsaHkDl90HrrnfpZLBa+++47qqqqiIyM5OKLL3aqIq2i0prQapQskDiRh1aCAqHB6JDx0v6N8aQySxFKNToY0dg/eEdWJYv2FuCu0/B/M5yzedoTZbUWrvl8B5X1VsZ1C+W5C/s2vam063PY9Loi7M/+EsJ6npEYM46+TE3NHtzdI+jZ4/nj8ZVZbbzX4L38f4lRaNTNMJUWQO+tWMmY65R50LHTgsuzlwMwtbNaBO5M8EXqF6zIXoG33psbQm/Ax815HmVJT6f4mWcAiHjiCdwTGtsECCHYMP8IdptM18FhxPYMatS+Y8mP2C0WEgYOIapbj+a7GBWV/4AQgmyTFYB4T7fjj1XX7AbA339Qo/7H7DH69nVOSqzfWQwCvPqGuExMaYsIIahanIGwyXj1D8Wjm2tbwV27dlFUVISfnx/jx4932Se/4Ftqa1Nxd4/EZp3h1O4QgkfSFX3u1rgwojzaxz1sblSBuQWwOWS2ZVbgjXI8NCagM6AIzLKQ0QUH49GnD+aUFNzSjsCkSS0ZrsqfOFBm5/63NlJeZyXI241XZ/fjrB5NZEiVpcG3s6E6B0K6KbYY/ieOcZjsJu5YcwcFdQX0Cu7FM6OeQZIkKn/4AcuRI+ijowm+7rozdGUqHZXq6moAfOuVL87aaJnainL2/LYEgHFXXXdcFMg7VMmu37NBgknX98YnsGMeFRJCcGBdAZt/TEeWBbE9A5l0fR88fJzF32OYag38+voL5B08gFavZ8otd9NjVNMWFta8Wsq/SEE22jEFCqLm9kXj4fy1bbVa+e677ygsLCQgIIArrrgCd3e12KJK60arVU77aEUtXb08OFxv5kCtkWEBTW/QHGfruyBk6Hdpo+9Uhyx46tdUAG4Zn0hcsFezxN4aqLPYuX7eTnIrjfSN9uf9Kwaib0qcP7ICfrtP+Xn6G9D1nDMSY2npcvLyPkeSdPTt8w5ubicypl/KLKbeITMx2I9Rgb5nJB4VlT/j4a9kJ5vNFYCSwVxvq2dH8Q40koYJsRNaMrwOwbq8dby5+00AXhj9AlKm82aTbDSSf/c9CLMZ/wsuIOCiC536HNpSRE5KBe5eOkbNbnySo7aynH1//A7AqEuuOu3XoKJyuqh3yNQ3bLYH6pU5v8mUjc1WiZtbCJ6eJ2xfTCYTmZmZSJJEz56NN42FXVYEZsB7ePvJXjbuK8OSXo3GS4f/9ASXfWpqali1SvFanzJliss1kcVSxtGjrwHQvdsTpKY6i8dfFVaQWmcmxkPP7XHt+zTc6aTjpp21IPvza6iz2PHTKscfvL3CCPIIwipbKTUq2Rw+Y8cA4N6wK6XS8pisDp76NZXXdlsor7MyMjGYZXeNaVpcProWPp2oiMtRA2DOsj8thB08tOEhDpQfINonmvfOfg8vvRe2ggLKXn8DgLD/PeRUGVlF5XRzTGD2rteh8dJRHwqbF3yD3Wal24gxRHZRqqebaq2s+uIgCBgyrbNTdkhHwWZxsOqLg2z84QiyLOg/MY7ptyedUlyuyM/l20fvJe/gAbwDArnkyRdPKS6bM6oo++QAstGOR48gCgfLLsVlm83G/PnzycnJwdfXl6uvvhofn78h0KmotDAajSIwOxwmRjaIyhuqav/6ifXlsPcb5edRdzZqWrgnn9RCA5H+Htw01vmoY3vBYndw09e72J9fQ2yQJ59fOwRv9yZyRgr2wI/XKoL82Adg0DVnJEajMYuDhx4CoEuX/+HvP/B42/bqOr4pqkAvSTyeqJ7QUmk59D5+ILnjkM2Y9Drcu3ZhS+EW7LKdpNAkAj1cZ8epnB4OVRziwQ0PIhDc1v82JsS5FvSLn34G69GjuCUmEvHE407thnITmxYoPrRjLumGt39jQWnzD9/gsNnoNnw0YfGuRSkVldZAuc0OQIj+xHd6dfWJ7OWTTykdOXIEIQTx8fF4eTXeUDcdrECus6EL98KtU2PrjLaKo95GzdKjAPhPS0Dr4ywKCyFYunQpVquV7t27Ownvx8jIeAGHo47g4AmEhEx0aq+w2nkpU6kR8VSX6L93uk4FUAXmFiG1UPFa1moaji8LQbxfPADpVcqXo/eYBoH5wAGELJ/xGFUaszuniqlvb+SLzdloJXhgcne+vn4Y4X5NiL+7voBvZoKlBnrOgGt/B+8TFd2FELy440XW5q3Fz82P989+nxDPEIQsU/jYY8j19fhOnIjvOWcmy0ilY3NMYPYRHnh0D8JUXU7q+tVotDrGXHo1oHxmV391CKPBSmQXfwZPjW+5gFuQquJ6fnppF0d2lKBz1zLp+t6MmtkFzSkmHpl7dvLdY/dRU1JMeEIXrnj+jeOivSvqd5dQ/nkqwurAMymU4Kt6Ily4XdjtdhYsWEBmZibe3t5cc801BAV1TNFfpe2h1ysLHputirGBisC8vvJvCMy7vwS7GbpObmTzUGex88qKNAD+d26PdlvYzyEL7p6/j80ZFYT4uPP1dcMI9W3ixEJVtlL/wWaEpMtgwqNnJEa7vZb9B27B4agjLGwqsTHXHm+zyDL3pyl+t7fHhakFc1RaFK1OQqNTkj8qfDzRx8SwPm89AGNjxrZkaO2ekvoSbl99Oya7iRkJM1wW9QOomj+fmsWLkTw8iHnzDTR/EtKELFjz1SFsFgeJA0LpNrRx4k/hkcOkrluFRqtTs5dVWj3l1gaB2e2EwGww7ANotFELiv8yQI8ezpYv9dsUcdRneGS7qcdSszQTud6Oe5cAvAaGuexz4MAB0tPTcXd3Z9q0aS6vvbxiHcUlS9Bo3One7QmXfV7KKqLa7mBsoA9TQ/xP+7W0Z1SLjBbgSImygJLdfJTib9Y6kkKT2FO6h72lexkTMwbPfv3QRURAcTHGXbvwbvBlVjmzWOwO3lyVzkfrjyIL6Bbuw+UJdq6d0ERRM9kBK59Qju8CjLobzv4/OKlqqRCCN/a8wfy0+eg1et6a8BYJAcpuetX8+Ri3bkMbGEjEk//Xbr4QVFo3jQTmnkEUL9gOQtD37MkERCjHqg6sKyDngHL0cOJ1vdFoOt5nM2N36fFFTGCEF1Nu7EtQlHeT/YUss33xj2xe8A0IQbcRY5hyy13o3V0LKkIIatfkYVipFK7wGRuN/5TOSC7utcPh4KeffiI9PR1PT0+uvvpqQkJCnPqpqLRWdDpfdDo/7HYDQ7xtaBHsrTVSY7Pjr29ieuqwKxu4AMMaixEfrjtKWa2FAXEBnJfUPrNihRA8tjiFZSnF+LrrmHfdEOJDmhiDakvgqwugvhQ6j4MZb8MZmFPIso0DB26nvj4db++ujXyXAd7NKSXdaCHR0527OqlHTlVaFkkHGl0ssu0oFb6eaIIC2ViwEYBxMU2fMlL5bxhtRu5YcwelplIGhQ/iyZFPulzz1O/YQfGzSk2ayKefwr2rcxHT/WvzKThSjaevnnGXd2/0OrLsYM0XHwIweMaFBEVFN9MVqaicHsqsNqBxBnNt3SEAfH1P1JWw2WxkZGQA0L1746QVW5kRS2YNkpsGrwGuhdi2hulwJca9paDTKIX9XI0X9fUsW6bUuJk8ebJT0UNQNsAPH1Y22xM6342nZ5xTnx3VdXxdWIFOgme7xqh6zD9EFZhbgCMldQBoPHzABFgM9A/rD6mwt3QvAJJWi/8F51Px4UfU/LxYFZhbgOS8ah5auJ/DxbVoJLh5XCL3TOzK1k0bXT+hvhwWXg+Z65TCQzPeggFXOnV7b997fJHyBTpJx+vjX2dwhFIN1pqbS+krrwIQ8eST6IKbv7q7igqAxawUHHWX3DD7manMOIxGq2Xo+TMBJWt3y0JlEjP+ih74BnWsjDOHXWbroqMkr1Gy7roMDmPClT1wc2FZcQyLsZ5l773B0V3bQJIYOfsKhs+8tMlJinDIVP2cgXFXCUgQcF4iPiNci2Q2m40ff/yRI0eO4OHhwdVXX014uCrUqLQ9PDyiqaszoLcX0RUHh4WO9VV1nBcW4PoJR5aBIR+CEiHhxFHqwmoTH2/MBODx6b3a7WLgtT+O8P2OXNx1Gj69ZjC9o5rIqjFVK6eoqrIgsj9c8g3omr84jRCCI0eeorJqE3p9MEn9PkWnO+GvfKTezFs5JQC83D0GD/XIqUoLo3NXBGaACj9vjhiOUmmuJNI7ki4BTSSTqPwn7LKdBzc8yKHKQ8T5xvHm+Ddx0zqPT7aCAgruuhvsdoKuuw7/885z6lOWW8uWn0/MTz3/VMgsZc1KSjIz8AkOYfiFlzTL9aionE6OWWQEN2QwC+Ggrk7JVPb1OXFqKysrC5vNRmRkJAEBAY1ew7hL+Z717Bfq0l6vrSGb7FQtUk75+0/uhC7E02W/ZcuWYTKZ6Ny5MwMGDHDZJyPjJSyWYvx8+xEb61znyuyQuS8tDwHcHheunrL6F7T9T1wbJL/SCIDeKwCqAFMV/aP7A5BSnoLNYUOv1RNwwQVUfPgRhhUriHjsUTTeTWfKqZw+6ix2XvsjjXlbspEFxAd78drFSQzqdIqj5/m7YcHVysLXO1Sp0B4/2qnbR8kf8dH+j9BKWl4e9zLjY8cDIFssFNxzL8Jkwm/qVPwmq4UdVc4c1oZqxd6x/uxcvgiEoNfYs/ELCUOWBavnHcJhl+kxIoIug9rHTvjfxVonWPTKbkpzatFoJEbO6kK/CafezS7Py+GX156jqqgQd29vpt5+PwkDhzTZXzbaqPj+MJb0aiS9hqBLe+DZ2/UGk8ViYf78+WRlZeHp6cmVV15JZGT7Kd6h0rFQBOZDmMwFDCaAw+hYUlrVtMC84xPl3yFzG50MenPVEax2men9IhkY1z49Uz9af5R312ag1Ui8d/lAhiU0sQltNcL3l0LJAQjuClcuBI8z47+Yl/c5BYXfo9G4kdTvIzw9T9SdsMgytxzMxioEl0UGqYX9VFoFei+QtCEgeWDWmtmRuhaAweGD2+1GVUsihODprU+zPn89fm5+vHf2ewR4BDj1k41G8m67HUdVFd6jRxN2371OfSwmO8s/PoBsF/QeG01C/9BG7caaajbO/wqA8Vddj16taaPSBjA6FGtUn4YNWKMxG1k24+EehV4fcLxfWppiCfbn7GXhENTvUWp6eQ+JOAMRNz/VSzORDVbc4nzxGeX6FMKhQ4dISUlBr9czY8YMl+N3ZdVWCgq/R5L09Oz5IhqNsxT6Vk4J6UYLXb3cuVs9ZfWvaLWpA5IkBUmStFKSpPSGf12uGCRJypYk6YAkSfskSdp1puP8NxjMys6UJrihyEDFUYI8guga2BWzw8y2om0AuMXHY+2SiDAaqVn6W0uF26FYdbCESa+v54vN2UiSxE1jE1h219imxWUhYOdn8PlkRVyOGQo3bXASl4UQfLz/Y97d9y4aScPzo59nYqcThvIlzz2POTUVfUwMEf/3RHNeokoTtOcx56+w2hSBWRfuwcENa0CSGHrBLAD2rcylJMuAd4A7o2c7H01sz2TsLuXoCkFpTi0+Qe5ceP9Aks6KPeWiM23rRr579D6qigoJjYvnyuffPKW4bCszUvp+slIR2VtPyA19mxSXTSYTX3/9NVlZWXh7e3PttdcSHa0e92zLdORxB8CroRq6sT6DkViRgJXlBqobMngaUZ4BWetB5wn9Lzv+cHpJLT/tzkenkbh/UtPe5m2Zr7dm88IyJYPp5Zn9OKdXE4seh00p6Je7Ffyi4aqfG9V/aE5KSpaSnvECAL16voK/f+PsoeeOFpFaZybe041nuqjjVkvS0cedk9HoQa+T0OiVNVnmju0ADAof1JJhtVve3vs2P2f8jIfWg/fOfo94/3jnTrJM4cOPYDl8GLdOnYh+7VUkbWNPfSEU32VDuZmQWB9Gz+7i1L7q0/cx1xqI65NEt+HOST8qZxZ13Pl7WGUBgHvDJnpt3UEAfHx7He8jhODoUaXYXdc/2caY06uQa63oQj1xi2v7G7mmtEqMu0tAJxE4q5tL28C6ujp+/fVXAM4++2yX9WgcDiOHDz0CQOf42/DxcZ4vptaZeCe3BAl4rXusesrqX9Ka79r/gNVCiK7A6ob/b4oJQoj+QojBZya0f49DFtRZ7EgS6MIaDNnLlB2oSZ2UrNXl2cuP9zeNU/y/Kj7/DOFwnNlgOxDFNWZu/XY3c7/aRWGNmX4x/vxy+ygentqz6UJB5hpYdCP8di/INhh6E1z7G/g1PtYuC5lXdr3CO3vfQULi6ZFPMzVh6vH26p8XU71gAZKbGzFvv4XWXzWSbyHa5Zjzd7DLiphTVJ6O7HAQmNCVwIgoKovq2fFrFgATruyBu5e+JcM8Y9htDtZ/l8aKT1KQbdA5KYRLHh1KRELTf5t2q5XVn3/A0jdfwmYx03P0eC579tXjHtauMKVVUvrePuzlJvQR3oTd3h/3ONeZhlarlXnz5pGfn4+fnx/XXXedaovRPuiw4w6Ar19fAAyG/QRJgjGBPliFYGlZjXPn5O+Uf/tcBJ4n1qWv/pGGLODSobFN+xG3YX7clcfjS1IBePaCPswcFOO6o+yAn2+C9BXgGaSIywGxZyTG8vK1pB68DxAkJtxPePj0Ru2rKwx8nF+GToL3e3XCR9c+CzC2ITr0uHMykiTh5SGjdWsQG9KUzL+B4QNP8SyVf8PXB7/m0wOfopW0vDb+NcUe0gU+CxdRu2IFGh8fYt5/z+W6aP+afDL3luHmoWXKjX3Q6RuPKYc3ryd9xxbcPD2ZdNOdajZ660Add/4GZlnJYHZvEFLr644ANBJEKysrqa6uxtPT0+kUo3FXMQBeg8Lb/OdeNtupPmaNMTEefZiXUx8hBL/88gtGo5HOnTsztAlb2fT05zGZc/Hx6UGnTjc7tdsF3HM4F7uAOdEhDA3wOb0X04FozQLz+cC8hp/nARe0XCinD5NNEYk9dFo0YQ0DRZmSlTI5fjIAa3PXYnUoGYXmgQPRx8Ziy8mldsWKMx9wO8did/De2gzOem0dvx8oxstNyxPTe/HzraOa9jYEyN0OH46GAwuU83UXfQJTX3byOLTLdh7f/DhfH/wanUbHy+Ne5vwu5x9vNx8+TPFTTwEQ8cTjePTqhUqL0S7HnL9C2GU0Qvkq2LdX2dwK7TMAIQvWfXsYh12m58hIOvXpGJ7glUX1/PTSblI2FKDRSUQMlDj35r54eDctrlcVFfD94w+wb8VvaLQ6Jlx7E+feft+pi/ltyKfiy1SE2YFnn2BCb0lCF+i6f3l5OXv27KG4uJigoCCuu+46glWP9vZChxx3juHvlwRAjSEZIQQzw5Wskx+KKht3lGVI/kH5OelE9vLe3CpWpJbgoddw51nt74TFr8mFPLRwPwCPTevJlcM7ue4oy7DkNkhZCG6+cOVPEHpmsrmrqrZzIOU2hLATF3eD08KtxGLjrkO5ADzUOZKBfu1vE6AN0qHHnT/j7SGj0cWhlXT4GbR0soYQ7xff0mG1K5ZmLuXlnS8D8PSopxkbM9Zlv4ovv8R79WrQ64l59x3cExOd+hQcqWLLIsV3+ayre+If2lh0qqusYPXnHwAw7qq5+Iepm/GtBHXc+RtY/pTBbDQphb+9POOP9zmWvZyQkIDmJLswR70N06FKkMB7YNu3NKz+5SiOGiv6WF98xrg++bRv3z6OHDmCu7s7559/fqP7cYyy8tUN1hhu9Or1GhqN85ruZzzYX2si2l3PIwmq9eB/oTULzOFCiCKAhn+b+isRwB+SJO2WJOnGMxbdv8RLr0WSFKHZEaEsrCjYDTYznf070z2wO7W2Wtbnr1fatFqC584FoPzjTxBCtFDk7Y/Vh0qY9MYGXlmRhtHq4Nw+Eay8dxzXje6M1sXxCwAcdjplz4cvzoXqXIhMUiwx+l3s1NXisHDvunv55egveOo8efesd5kSP+V4u62khLybbkaYzfhfdBEBs2Y116Wq/D3a5ZjzV9grTOhRMj+qa8oJjonDJzKGw9uKKcqowdNXz6hZ7b/QjRCCA+vyWfD8Tiry6/AP9WTWg4MJ7iadMgPg8Ob1fPPw3ZRmH8U/PILLnnmFgee69v4CkC0OKn9Io+b3LBDgd04cQZf3ROPuOqMvNzeXzz77DLPZTGRkJHPmzHEq5qHSpumQ484xPDxi0euDsNkqgAqmhfrjp9Ow01DPHkP9iY7ZGxUbKv846DTq+MOvr1Qye+aM6kyYX/vy11x5sIR7ftiHLODeid2YOybBdUdZhqV3QfL3oPdWPJejz8zx/hpDMsn7b0CWLURHXUaXxIcajX1mh8x1KVmU2+yMCvDh1ri2v+BtJ3TocefPBHpZkCQtXu7KbehfHtnmM/9aE6tzV/P4pscBuH/w/ZyX6FysD8CwfDmlLykidNTzz+M9fLhTn5oyI8s/SkF2CJLOiSXxTyKakGX++OhtLPX1dO4/iL5nqTVtWhHquPM3sDUIzPqGMcjUIDB7ep3YYD4mMCf+aQPGdKAcHAKPboFo/dzPRLjNhimlHOOeUqU2zcWurTGqqqpYtmwZAOeee67L9ZHFWs6hQ0qyfJfE+/H16eHUZ2dNPYtwRwLe7hmnnrL6j0gtKVhKkrQKcOU+/igwTwgRcFLfKiGEk1ePJElRQohCSZLCgJXAHUKIDS763QjcCBAeHj5o/vz5p4ytrq4OH5/mSY2/ZVU9Jju8d7YX4/bdg099Fsn9nqIqqD/rDOtYWLWQBPcE7om4R4nD3Z2Qxx5HW1ND9Q03YBl05o9tNef9ONNxFNXJfJ9mZX+Zkk0e5SNxRQ93eoecejDxNBbR4/Bb+BsOIZDIi72QrM6XI1zsghkcBj4p/YRsazZeGi9uDruZzu6dj7dLJhOBr72OPj8fa5dEqu66C/T/zH6gLb0nEyZM2N0ajjmdyTGnoW+rGXeawqsUNqRso05jxjtjP52Gj8E9qitF671wWCB6uERAfMsstM7U/bCbBQU7BHWFyv8HdIaIgRJavdRkDLLNRt6WtZQfVLILAxO70WncZLTuTU/o9HUQuVeDW72ErBWU9JWpP0X9jbKyMg4ePIgQAn9/f/r27YtO17K1edVx55+jjjunxiG/DSRjtVyKp+dEvhUe/IoHw7Fyt6QURe5x6C0iStaQ3elisjtfAUBGtYNnt5nx0MKr47zwcfvv41RL34tjbM2p49PDEg4BUzvrmd1N71rwEoKu6R8RXbgMh8aN/f3+j5qAPqctjlPdDyEykcUbgBGJYUjSXCRJc1I7fIgn63EnBJnnqMVf+ndrjtbyvqjjzulZY0Hrek+167PIrO2NxroNY/0WHB5aBl99Bxrtmfm+bU334nTHkWJM4dOyT3HgYKLfRM4LdC0u69PTCXzrbSS7nYqpU7GfN8Opj8MqyFolsBjAJxLixkhOolPx3h0UbNuA1t2DXpdci5v3v7+e1vC+/N0Y1HGn7Yw7fxXDd8KDX/DgMkycL1lwyHcARjTS60iSP0IINm3ahMPhYPjw4XicVLwyersGzyqJ4n4ydVGn/r5tDfeiqTi0FojbpEFrkyjrKVPTyflahBDs27ePmpoaQkJC6N27t9M8SQiBLN4G9gM90Ej3NZqnABgF/A9fStEyAzNXSObTfYl/m9b8nriiqXGnRVeqQohzmmqTJKlEkqRIIUSRJEmRQGkTr1HY8G+pJEk/A0MBp0FICPEx8DHA4MGDxfjx408Z27p16/irPv+W4O1ryK8y0aP/EHw4Dza/RZJ3GYwfz1DbUP746Q8yLZkE9g6EVBg/fjxVFRUUP/kUob/9RsJtt6I5w5Vwm/N+nKk4SmvNvLkqnR925uGQBb7uOu6e2I2rR3RCfyoTd9kB296HTc+B3YTFLQj3S78kLmEccS66p1Wm8dya5yi2FhPpHcl7Z79H18ATR3eFzUbezbdQn5+PW3w8Xb/+Gl3gP6963x7ekzPNmRxzGvq0mnGnKWo35rM1RamhIendmHHtXH7+YKciLncP4PxrBrRYJs+ZuB85KRWsnncQU60Ndy8d46/oQZdBJ5IqXMVQkpnBb++8SlVhPlq9nvFX30DSxHNPeZ+MyaVUrUlHWGV0YZ4EX9mLOBdeYqBMiLZs2UJqquK7OmjQILy9vTnrrLP++wX/R1rL33triePvoI47p6agoIjDacm4uR9i/Pjn6G6xsnzrIXYINzoPS6KTHth6FQDx5/2P+GAlY+fLL3YAZq4fm8j0Sc4ZKf+Glr4XoBQb/nTFLhwC5o7uzKPTejYpLrPiEShcBlp3tJfPZ0Di6R0jmrof1dW72Jf8FjiMhIZMpE+fd5yOnH6SV8b6jAI8NRLfD+xBX1/X491/ieNM01ri+Du05jUWtJ57uW7dOuK7h5G5C4SuB5W+6wiqdSPCTUuvMWcmvtZ0L05nHFsKtvDFmi9w4OCqXlfxwOAHXI5lpgMHyL3vfmS7ncDLL6NkzBinOGSHzG/v78diqCQoypuZDwzCzbOxjJF38AB7dmwCYMZdD5A4aNh/ir81vC+tIYZ/gjru/DV/FcPOrCLILiEqPp5RMZ5s2GhEq/Vm3NjzkCSJoqIi1q9fT0BAAFOmnDgZba82U7x8J5Jew8CZI9C4n1rmaw33wlUcQggq5h3EbKvEvWsA/a/q4zJ7ed26ddTU1ODj48OcOXPw9na238rP/5a0I/vR6fwYNvRTPDycrS/uOpRLaXEl8dh5b9xQ3FxYbJwpWut78k9pzRYZvwDXNPx8DbDkzx0kSfKWJMn32M/AJCDljEX4L+kapuwIHC6qha6K7zKpP4PDjpfei9ndZgMwL3Xe8ecEzJ6Ne/fu2AoLqfj88zMec1umzmLn9ZVHGP/KOr7brvgAXjY0jjX3j+f60Z1PLS6XHoLPJsEfj4HdBP0uYeeQtyBhnMvuq3NXc9WyqyiuLyYpNInvpn3XWFyWZYoef4L6zZvRBgUR+8nH/0pcVmkW2u2YcyrsFWZ8hLJhFdylB0aDRFUmaDQSYy/t3m6PiVrNdtZ9e5il7yZjqrUR3S2ASx4b2khc/jOy7GD7zwv47rH7qCrMJzgmjsuffY3+k6Y2eZ+EXaZqSQaV36chrDKe/UMJu22Ay0IVADabjZ9//pmVK1cCSjXk6dOnu/QUU2kXdMhx52RCQs5u+OkgDoeRSHc3LgwPQAbeyy2FrA1gMUB4H2gQl/flVbMurQwvNy3Xj27COqINsupgCbd8uxuHgOtPJS7LMvz+gLL5rdHDJd/AaRaXm6KycjN7912Lw1FHeNh0l+Ly2goDTx4tAOCNHnH/SVxWaRY6/LhzMn6BbmjtZoQmgMxopejx3uW/tnBUbZsdRTu4c+2dWGUrl3a/tElx2ZyWRu7cG5Dr6/Gbei7hjz4KLrIQN/6QTm5qJR4+eqbd2s9JXK6rquS3t15GyDJDz5/1n8VllWZBHXf+Bh4N832LLDCble9RD4/o438/eXl5AMTFNU5zMyWXKX17Bv2luNyaqd9ZjPlwJZKHjqBZrq0xcnJyWL9esZO98MILXYrLtbWppGc8C0CP7s+4FJcXl1TxQ3ElHhqJOzC2qLjcnmjNd/FFYKIkSenAxIb/R5KkKEmSfm/oEw5skiQpGdgB/CaEWN4i0f4D+kQrxeNSCmsgbgQEJYKhQKn8DVzR8wrcNG6szFlJliULAEmrJfzRRwCo+PgTbIWFLRN8G8JidzBvSzbjX1nL26vTMVodTOwVzoq7x/DCRX0J9T2FN5HdAutfgY/GQsEu8I2CyxfARR9j1/s5dXfIDj5I/oB71t6DyW5iesJ0Ppv8GSGeIcf7CFmm+P/+j5rFi5E8PIj94H3cYs9MhXeVv0W7HXNOhWy04S88AfCLjWfrz0dBQO8xUQRFts9iTIXpVfzw7A5SNxai0UqMuDCR8+4egG9Q0ydDakpLWPDUI2ya/xWyw8GAc2dwxQtvEBbftLhlKzVS+t4+6rcWgVYi4IJEgi7p3qTfck1NDZ9//jn79+9Hr9cze/ZsxowZ025FfhWgg447J+PuHoafX3/ARkXFRgBujwtHA3xbVEH1gcVKxx7Tjz/n3TVKgaerR8QT5N24uG5bZfUhRVy2OQSTOul47FTi8tK7YOcnoHWHS7+FbmfGZ7S8fC3J++ciyyYiI2bSu/frTuLynpp6rkvJxiHgrk7hXBCubqK3Qjr8uHMyOk93AqrTAZA9O+Pu7UNxxhEK0g61cGRtkx1FO7h9ze1YHBZmdp3Jw8MedjmWWTIzyb3ueuSaGnzOPpuol15C0jrPj3YszSJlQwFanYZzb+6LX4hno3aH3c5vb79MfXUVMb36MOqSq5rt2lT+E+q48zdwaxBULbKM1VoBgLtb6PH23FwlWe7PArNxnyIweyW13VoHtjIjNb9mAhB4QSJaf2etxmg0snDhQoQQjB492smHGsBur+VAyu3IspWoqEsJD5/u1Cet3sy9aYpY/2SXaKIl+TRfTcel1W5vCCEqgLNdPF4ITG34ORNIOsOh/Wf6xQQAsPVoBWg0MPg6+ONR2Pkp9JhGmFcYV/e+mk8PfMrCyoVcI65BI2nwHjoU3ylTqF2+nKLHHiP200+R1J0WJyx2Bwt25vH+uqMU1Sg+OgPjAnh4ak+GxAf99QtkrILfH4RKxUCfgdfApGfAw99l9wpTBf/b+D+2FW1DQuLOAXcyt+/cRpMpIQTFTz9N9Y8/Ibm7E/vhB3gmtbmPbrumPY85p8JhsuHXIDCbHO4UH6hAo4PB0zr/xTPbHnarg21LMklekwcCQmJ9OOfaXgRHN+0zJYRg/+oVrP/6U6wmE94BgUy55W7i+zddREsIQf32Ymp+y0TYZLTBHgRf2gO3WN8mn5OTk8OCBQuor68nICCAyy67jPBwtfJ5e6ejjjt/JixsCgbDPgqLFhAWNplu3h5cGRXMNwWlSGkN686eygLhaFkdqw6V4K7TMHdM+xinlqcUc8f3e7A5BHNGxTPWp7QJcdkBS26H5O9A5wGXfgddnD4+zUJh4QIOpz2GEA6io6+ge7cnnbwM0+rNXLE/E5MsMzsikIc6n8JkXqXFUMedxkgengRVHaIipC/xxiT6Twpg+88L2LLgG2Y//lxLh9em2FSwibvX3o3FYeH8xPN5YsQTaCTntao1L4/cOdfhqKjAe9Qoot94HclFLZrkNXns+i0bSYJJc3sT1SWgUbsQglWfvkf+wRS8AwKZftdDaFyI1Cotjzru/D18Gj6/BvsJgVnvFgwon/ecHKXo38kCs63chK2oHslDi0f3trmpK+wyld8fRthkvPqH4tXfWSgXQvDrr79iMBiIjo5mwoQJLvscPPQ/TKZcfHx60q3r40596u0O5qZkYXTIXBQeyDVRwaxPb5bL6pC0WoG5PTOqSzCeei378qrJqzQS2/9yWPMsHF0DeTsgdihz+85lScYSckw5LM1cerzibsSjj2Dcvp36LVup+uYbgq6+uoWvpvVgsTtYsCuf99dmHBeWe0T4cvc53ZjcO/yvswCr82DFw3Co4VhccFeY9lqTdhgAO4t38tCGhygzlRHoHsiLY15kZPTIRn2EEJQ88yzV839QxOUP3ndZGVlFpSUwVxsIEEqmckFeMT6EE9JTwsuvfWQFHqPoaA1rvz5EVbERSSMx6NxODJ4aj1bX9CadobyUjN8WsicvG4AuQ4Yz8cY78PJzvdkE4Ki3UbUwHfNBZVLoNTCMgPMTmzyuJssy27ZtY9WqVciyTOfOnZk9ezZeXuqRcpWOQ2TETDIyXqWiYj0mUy6ennE80DmCo0c24W+pxOwXh0e4Urzu043Kya6LBsYQ4tO2q6QDLNlXwL0LknHIgutHd+axaT1Zv77MuaPDBj/fDCk/gd4LLv8BOo9t9viEEGRmvUF29nsAdIq7icRE5+Pu+WYrlyUfpcruYGKwH693j0Ojnr5QaQPoQoIJqlSylSOrujBo6hj2rfiN3JRkcg7so1Pf/i0bYBthdc5q7t9wP3bZzuxus3ls+GMuxWVLVha5c67DXlKC1+DBxLz7Dho35zln2vZiNi1QVJ8JV/UkoX+oU58di38kZe1KdG7unP/AY3gHtE1xTUXlGKFuynqh1GrDalPWEm4NAnNtbS21tbV4eHgQEnLilLQ5tRwAzx5BSKdY17RmapZnYyusRxvkQcAFXVz22bFjB4cOHcLd3Z1Zs2ahdbGZlJ//FWVly9Fqfejb5x202sanU4UQ3JeWR7rRQjcvD17pHqOeFD3NtM1PYBvHy03HxF5KZtqSfQXgFQQjblUaVzwCQuCt9+buQXcD8OrOVykzKosNXWgokc88DUDpq69hSVe3W4xWO59vymLCK+t4fHEKRTVmuof78sEVA/n9zjFM6RNx6oHDZoINr8C7QxRxWe8N5zwFt2xpUly2y3Y+Sv6IuX/MpcxUxsCwgfw440dncdlmo+iRR6n67jskNzdi3nsP75EjXb6mikpLYK0zEir7IwEmRw16bwjq1tJRnT6sZjsbfzjCold3U1VsJDDCi5kPDGLYeQlNisvHspbn3X8bhrxsPHx8mXrH/Zx336OnFJdNhyspeXMP5oMVSB5agi7rTtDF3ZsUl41GI99//z1//PEHsiwzYsQIrrzySlVcVulwuLkFITEUEBQUfA9AqJue++Q0AJYFDMYsC8rrLCzckw/QLrKXF+zM4+4f9uGQBbdP6NK0LYbNBD9cqYjLbr5w5aIzJC7bOXjw/gZxWUP37s/QpcuDTjEWmK1cvO8ohRYbw/y9+bh3PHoXvokqKq0RfWQkXqZS3Mzl6G0eVJXYGXLeTAA2zf8KIUQLR9j6+S3zN+5bfx922c6VPa/k8eGPuxSXzUeOkHPV1diLi/EcNIiYDz9A4+np1O/onlJWz1NE/1GzutBzpLN/6qHN69k0/yuQJKbeeT+RXbqf/gtTUTnDhLkpmfxlVju2hgxmN70iMBcVFQEQERHRqDaLKUXp59knhLaIOa2Suk0FoJEIurQ7Gg/ndVNeXh4rVih2sueddx6BLmpY1dTsIT3jBQB69nwBLy/neeLnBeUsLq3GW6vhsz7xeKsnHk47agZzC3HRwGh+SS7kyy3ZzBnVGe/R98CeryB/J6QshL6zmJ4wna93fc1h82Ee3fQoH078EI2kwfecc/CfeRE1CxdRcO99xM//Ho0Lc/P2Tnmdha+2ZPPVthyqjTYAuoX7cNfZ3Ti3TwSav1rcyA5I/h7WPAe1DZ7WvS+ESc+Bf3STTyuxlXDNsmvYX74fgOv7XM/tA25Hp2n85yQbjeTfcw/16zcgeXoS8/bb+Iwe9e8vWEWlGTCZagkkDG/hTZ1UT/RAPVq9o6XDOi3kHaxk7beHqa0wI2kkBkyOY8i0eHT6picT1SXFrPr0PXL27wXAP74Llz38f6fMipGNNqqXZmLcoxTEdov3I+iS7ugCm/Z0zsnJYeHChRgMBjw8PLjgggvo0aPHv7xSFZW2jyRNQIgtFBT+QKdOt6DX+zGsahcAS336k5pdjHdmHVa7zDk9w0kMbdrapi3w9dZsHl+SCsD9k7px+1ldXXc0VcP3l0HuFvAMhCsWQkzTFj2nC6u1Alm8TnFJGlqtF316v01IiPNx1ByThVn7jpJnttLHx5Ov+nbG81TFk1VUWhna4GCETktkyW5yOk0mbVsxo2efx55lv1CccYQj2zbRfcSYlg6z1fLjkR95ZuszCAQ39L2BOwbc4XKjzJSaSt71c3FUV+M1Yjix772HxsWGek2u4OC2VIQsGDSlE/3PiXPqk5e6nxXvvwHA+Kuup+uQEaf/wlRUWoDwhqSUEqsNu6MeAJ1OsdgrLi4GIDLyxIaLvcaCNa8WSa/BvVvby+DXWqDyxyMA+E3shHucc62r+vp6fvzxR2RZZvjw4fTu3dupj9lSzP4DtyKEjZiYqwkPm+rUZ2NlLU9kKIUTX+8RS1fvptdpKv8eVWBuIcZ1C6V/bAD78qr5cks2t03oAmc9Br/eBb/fD3Ej0PhHc2XwlbxW/hpbi7by9cGvuaa3Unw1/OFHMO3egyU9nYIHHyLmnbc7jB9zdnk9n23KYsGuPCx2xZB9QFwAN49LZGLP8L8WloWA9JWw6v+g9KDyWEQ/xWc5YXyTT5OFzHeHvuP1otexCRvhXuE8PfJpp6xlAHtVFXk33Yx5/360AQHEfvSh6rms0uoQQmAyGQj0DMPT5E+dVz3CrxZo2xm05jobmxdlcHiLstMfEuvDWVf1JDSuaQ9kh93OrqU/s+2n77HbrHj4+HLWnJsotolTisumw5VULUpHNlhBp8F/Uid8Rke7rHoM4HA42LRpE+vWrUMIQUxMDLNmzSIgIOA/XbOKStunMwEBw6iu3k5u7ickxt2KNm8HAoltAf1Zll1C+HblGOh1o+NbNtT/gBCCD9Yf5eXlSnb2Y9N6MndME8VCa0vgm5lQcgD8ouGqnyG0+bP0DIb97D9wK1CEm1soSUmf4ufbx6lfptHCrH0ZFFps9Pf14vukBPz16tJCpW0haTRYgn2JKNlOTqfJZOwuZcwl3Rg5+wpWffoea+d9Qqd+A/DwbtubWqcbIQQfJH/AB8kfAHDHgDu4sd+NLvsa9+4l78abkGtr8Rk3jui330Lj7mxxdGRHMflbBQgYdG4nhp3nPDYWHD7Izy89jcNup//k6Qycev7pvTAVlRYkVK9HAsqtdiwOJYFOo1H+Vo4JzBERJ+obmFMbCgF2C0Tj1raycYUsCE/WINfZcE/wx3dcjFMfWZaPJ+TExsYyceJEpz4Oh4UD+2/Bai0jIGAYXbs84tTnqNHM3FSlAPFtcWGcH9b2xPi2QsdQJFshkiTx4GRlkfD+2gyyyuthwNXQ5RwwVcGiG0B24K/z5+lRiiXGm7vfZEvhFgC0Pt7EfPA+Gj8/6lavpuytt1vsWs4EsixYc7iE13aZGf/qOr7eloPFLnNOzzB+vHkEi24ZyeTefyNrOXszzJsB381WxGX/OLjoE7hx/SnF5RxDDnP/mMtLO1/CJmycl3gei85f5FJctmRmknPpZZj370cfHU2n779TxWWVVkltRRkWuwmAYJti23M47SCy3DYr6QohOLSlkG//bxuHtxSh1WkYfkECs/43+JTicuGRQ3zzv7vY9P087DYrPUaN49rX3qfn6PFN2us46m1ULkij4stUZIMVtzhfwu8agO/YmCbF5bKyMj7//HPWrl2LEIJRo0YxZ84cVVxWUUGZF3VJfACA3LwvsGatBIcFKaIvlyZ2hTIzVXVWEkK9GZEQ3MLR/jtkWfDcb4d4eXkakgTPXtCnaXG5Mgs+n6yIy8Fd4LoVZ0RcLixcwK7dl2CxFAGJDB2yxKW4fLjexAV70ym02Bji582C/okEquKyShulLiYQb2MJes8qrGYHmcll9Dt7MlHdelJfVcmm7+e1dIitCrts56mtT/FB8gdoJA1PjHiiSXG5ds0acudch1xbi++kScS887ZLcfnwtiJWfXEQBAyZFs+w8xKc5mBF6WksevH/sFnM9Bp7Fmdde6Pqn6rSrtBpJDp5uiGAXJvyd3JMYD7ZIuMYpsOVAHj2anvzIsPqXLwqJTQ+eoIu7e5y/bR27VoyMzPx8vJi9uzZTr7LQggOpz2CoXY/Hh7R9O3zLhpN44KhVTY7V+3PosbuYEqIH48mOFvuqJw+1JlgCzKySwjT+0WydH8Rd3y/h4W3jMT9gg/hw1GQs1nJsHU7h/Gx45nTZw5fpHzBvevuZd6UeXQP6o57585Ev/E6eTfeRMVHH+HWqRMBF13Y0pd1Wqk2WvlxVz5fb8sht9IIgLtOw/n9o5g7JoFu4U2LRscRArI2wPqXIWeT8phHAIx9AIbeALqmiwRZHBY+O/AZnx34DKtsJcgjiJm+M7lz9J0u+9euWkXhQ/9Drq/HvUcPYj/+CH2YcxVUFZXWQGVBPvX2GgDChB/F/oFU11RRVVXVwpH9cyoK61j/XRpFGcr1RHcPZNxl3QiMaNo+yFRrYPMPX5O8ajkIgX94BOdcfyvxSQObfI6QBcbdJdQsy0I22v9W1rIsy2zfvp3Vq1djt9vx8/Pj/PPPJzEx8b9dtIpKO8PffwChIRMpK19J1cEPCAeIGcID8RF8u+QwZkDXqW1mEdodMg8tPMDCPfnotRJvXNKf6f2iXPb1NRyBT68HYzlE9ocrF4J383orOhwW0tOfoaBQ8cCOjr6CosKxuLuHO/XdWFnL9alZGOwyIwN8+LpvZ7x1bStzSkXlZCo7BxG6O4sgxyFKGEny6ny6Dg5n4o238/VDd5G8chk9Ro8npofz0eyOhslu4sH1D7Iufx3uWndeGfsKE+Kc7XMAqubPp/jpZ0CW8Z95EZFPPYWkc5YfklfnsemndBAQ2kdi6AznjbeSzAwWPv8EVpOJ7iPHMvmWuzrM6V2VjkV3bw+yTVaybd70AjQaN6xWK9XV1Wg0muMF/oTNgSVTWfd4tDF7DHN6FbVrchEIgi7tjtbPWY9JTU1l48aNSJLErFmz8PNzts/Iy/uC4uLFaDSe9Ov7EW5uQY3abbLghpRsMk0Wevt48F7PTmoB4mZGFZhbmOcv6su+vGpSCgw8+nMKL8/sh+aiT+Cbi2DLO8QmGIDx3D3wborrilmWvYxbV93KN1O/IdInEp9Rowh/5GFKnnmWosceQ3J3w3/atJa+rP+ELAs2Hy3nx135rEgtPm6DERPoycgwOw9fPJ5Ab+dqw04IAUfXKAX8crcqj3n4w/DbYNhN4BlwyqdvKtjE89ufJ682D4DzE8/nvsH3kbwt2flXyTJl77xDxQcfAuB77hSinnvOpbeYikprwVRroMaqHDkP83NnwMD+rF279vgRrLaA1Wxn97Js9q3MQ5YFnr56Rs/uStch4U1mtciyg/2rVrD5h68x19Wi0WoZPOMihs+8FL1b0xtOtpJ6qn7OwJptAMC9SwAB5yeiD23677yyspIlS5aQk5MDQFJSEueeey4eHqrvl4qKKxIT76e8Yi2iQPFfJqo/JdUmzKUm0Ejs99Pwbm4pd3RyFj5bK2abg9u/28uqQyV46rV8eNUgxnULdd350FL673sUZCskTICLvwIP50XV6aSuLo2U1Luprz+CRuNG9+7PEBU5i+KidU59vyuq4MG0POwCpob4826vTnipnssqbZyqzkr2X3TeZmoSxlGabaAgrYqYHp0Yct5Mtv/8A8vff4OrXnwLd6+OV/fmGOWmcu5acxf7y/fj7+7Pu2e9S/+w/k79hBCUvfkWFR99BEDI7bcTctutTvMyIQu2LMpg3yplrTXiokQMbllOr1eQdojFLz2FxVhP16EjOfe2e9Fo1E0tlfZJdy8PVmAg2+ZPL0CSdMeTfwIDA49n8Zoza8Auo4/2Qev7N7SRVoLDYKFyfhoIqOwiiO3iLI4XFRWxePFiACZOnEhCgvOmU1nZStIzngegV6+X8fXt2ahdFoJ703LZVF1HmJuOr/omqJvhZwBVYG5h/Dz0vHv5QC79eCs/7VayWp67YCyaCz6ERTeQmDkPdvVHM/g6nh39LKWmUnaX7GbOijl8PPFj4vziCLriChzV1ZS/8y6FDz6EpNPjN3lSS1/aPya3wshPu/NYuKeAgmrT8cfHdA3hmhHxTOgRxsYN6/9aXLZblEKJW9+DkhTlMc9AGHEbDL1REZlPQY4hhzd3v8mq3FUAdAnowmPDH2NQuOuiOvaKCgoffpj6DRtBoyHsvnsJuu469ciWSqvHYjRisCkCs59GIiYpifXr11NWVkZZWRmhoU0IIK0AIQuO7Chmy89HMdZYQYI+Y6MZdn4CHt76Jp+XfzCFNV9+RFmOsoCJ69OPCdfeREhspyafI1vs1K7Jo3ZjAcgCjY+egOkJeCaFNvl3brfb2bJlCxs2bMBut+Pt7c2MGTPUQn4qKn+Bt3cX4uNvw3fHkwDYw7rx816lKMvwHiGs02t4PrOI3j6enBXcvMLr6aCq3soNX+1iV04V/p56vpgzhIFxTWQabfsAlj+MFgEDroLpb4C26fHsvyKEID//KzKOvogsW/H0jKdPn7dcWmLIQvBSVjFv5ZQAcEtsKI8nRqmZQCrtAktXxfvTNyOPfnMi2PF7HruX5xDTI4jhF11C1t5dlGYfZcWHbzHjnoc75Bz/cOVh7lhzB8X1xUR5R/HBxA9I8HcWfWSLheInnqBmyS+g1RL51JMEzJrl1M9hk1k97yDpu0rRaCTOuqYn3YdFsG5dY4E5c+9Ofn39RexWC12GDGfaXQ+gdZEFraLSXujeUHwuR1bWYbKwUVmpWGEEBZ3I0LWkKaJzW8peFg6Ziu8OI9fbcO8SQFVihVOfuro65s+fj81mIykpiREjnIt41tTsIyX1bkCQ0Plup6J+QgieOlrIj8VVeGk1zOubQLRH2xHh2zLq6NwK6B8bwGfXDOG6L3fy/Y48jFYHL1x0IV5Tq5WCf0vvAUMRbhMe4a0Jb3HrqlvZX76fa5Zfw0cTP6JbYDdCbr0VYbNR8eFHFNx3H4hX8ZsyuaUv7S8pNZj57UARS/cXsTvnxLH8mEBPZg+KZeagaGIC/2YWcH0F7P4cdnwCdcoCCO8wGH6LYoXhfmo7jQpTBR/t/4gf037ELux46jy5NelWruh1BXqN6wVe7bp1FD36GI6KCrT+/kS/8TreI519mVVUWiOm2jpqbZVYZCvuZvC2ujFgwAB2797Nhg0bmDlzZkuH6JKSbAMbfzhCSZaSSRwW78fYS7oR3rlpsammtJiN380jbetGAHxDQhl/9Vy6Dh3Z5EJRyALffIniV3Yh19lAAu/hkfhP6oTGq2nRJycnh6VLl1JWVgZA3759mTJlCt7eHTfrSUXlnxAfdS0a0+PIEqTX/MqSfUpRl1uHd2aQ3s5r2SXckJrNj/0TGejXev+uciuMXPvFDjLL64n092DedUNdW3s57PDHo7BdOQWV2fkKEs57B5pRxLJYyjh0+CEqKtYDEBV5Md26PY5W6zznqrbZufNQLn9UGNBK8HzXGK6Jbl7LDhWVM4kuMJCjEZBY7KCzex573bXkH66i6GgNkYn+TL/nIb75312kb9/CvhVLGTBlRkuHfEZZnbOahzc9jMluon9of96c8CbBns6er7aSUvLvuAPz/v1IXl7EvPkGPmPHOvUz19tY/vEBCtKq0XtoOffGvsT2CnLqd3DjWpa//wZClukzYSITb7gdjVbNQFRp3/TzVb6HU+0RCECWLVRUKELsyQKz+UiDwNy97QjMNb9lYc02oPF1I+iS7rB7S6N2u93OggULqKmpITo6munTpzut04zGHJL334Asm4mMnE18/O1Ov+fd3FI+yitDL0l80aczA/zUU+VnClVgbiWM6hLCp9cM5savdrNkXyGHigy8f8VlyF3T6ZbxCWx4GSoz8T//PT6Z9Al3rrmT7cXbmbN8Dm9OeJMhEUMIvesusNup+PQzCu65B1vxgwRdc02r22Uvq7WwPLWYpcmF7MiuRAjlcQ+9hnP7RDJ7cAzDOwf/dcE+UGww8nbAnnmQsggaCpYR1lvJWO4765QeywBGm5GvD37N5ymfY7Qb0UgaLuxyIbf2v5UI7wiXz5FNJkpefpnq7+cD4DV0KFEvvoA+yrWfoopKa6Su0oFAUOaoIEYTiflQBWPGjGHPnj2kpKQwatSoRoUkWpraSjM7fsnk8DbFwsPLz40RFybSfVhEk/7HploD2xb9wL4VvyE77Oj0bgw5fxZDzrsIvXvTNhWWzGqql2YSXqhBxoZbnC8BMxJxi216o6q+vp7Vq1ezZ88eQJkETps2TfVaVlH5h2gMSiEbs7uWzUe2kFU+khAfd0YmBjNaI5FlsrKopIrLkzP5eUAXevp4tnDEziTnVXP9vJ2U11npEeHLl3OGEuHvYswxVcGPcyBzLWj0cMH75FaGkdBMczchBEXFC0lPfx67vQadLoCePZ4nLMx1UsI+g5EbUrPJM1vx12n5oFenNpE5rqLyT/DUebKrq4bEYhnbprUknT2HXb9ns/GHI8z632ACI6KYdNNdLH3zRdZ99Rmh8Qkdwo9ZCMFnKZ/x1p63ADgv8Tz+b8T/4aZ1zgQ07t1L/p134igrRx8VRcz77+Hh4tRWRUEdv3+wH0O5GS8/N6bfkUTon+ZWQgh2/bqIDd9+AcDQ82cx+rLWt6ZVUWkOuni5E+qmo8zqSRFR9JQtxy0yjgnMDoMFe7kJyU17yrVJa6J+Twl1WwpBKxF8ZU8nWw8hBL/99hu5ubn4+vpyySWXoNc3Tuix2apI3n89NlslQUFj6NH9Gadx4bvCCp7LLEIC3ukZx7igtnF/2guqwNyKGNM1lF9uH8XN3+zmSEkd097eyJRO5/Dy7LNwX3w9pPwEJSl4Xfgh753zHg+sf4C1eWu54Y8buGvgXVzb+1pC77sPjZ8/Za+/TumLL2HLyyf8kYeRWnC3VwjBwSIDaw6VsvpwKcn51cdFZTethnHdQ5neL5Jzeobj7f43P5LGSkj+HvZ8BWWHTzzedRIMvxUSxv9l5k+dtY75afP5+uDXVJqVYydjY8Zy98C76RrYtcnn6dPTyXrpZaxZWaDXE3b33QTNuVYtNKHS5jDVKX8jVdoyYojEuL+csLExREVFUVBQwJIlS5g7d65Txd4zjcVkZ8/yHJLX5OGwyWi0EklnxTJ4ajxunq7HDJvVwp7ff2HH4h+xmowgSfQaM4FRl1yFX2jThTdtJfXU/JGDOVXJFLB5CMIv6PGXdhjbt29nw4YNWCwWNBoNo0ePZsyYMU4TIxUVlb9BdS4AmqCu7ChWim5O6qFF1+D1+1aPOIwOB8vLDVycfJTFA7qQ6NV6fM1XHyrh9u/2YrI5GNM1hPevGIivh4uxoCwNvr8UKjPBKwQu+QY6jYB165olLqMxh8Npj1FVpWQMBQWNoWfPF/Fwd95IFELwh3Djmz3pWIWgn68nn/SOp5PnqTftVVTaIsGewXzfVeKSjVC7dh0DHn6cw1uLKMut5eCmQvqMjab7iNEUpM1g77JfWfLyM1z69CsEx8S2dOjNRq21lic2P8Gq3FVISNw96G7m9J7jci5UvXARxU8+ibDZ8Bo6lOi33kQX6JxVmbG7lNXzDmK3yoTG+XLuzX3xDWo8dst2G8vefY1Dm9YBMO6q6xk8vX0VsVdRORWSJDHc34dfy6o5TG/GO0zU1joAjhe6O1bczy3eD6kN1EGwFtRRtSgDgIDzEnHv5LxRvWHDBvbu3YtOp+PSSy91Kupnt9exL3kuRmMWPj496dvnHTR/OmW+qKSK+9MUT/fnu8VwQXjbye5uL6gCcyuja7gvv9w+mseXpLBoTwFLjsrsLPfgiWFfMungw2jKDsMnZ+M+9gFeH/0i76V8wqcHPuX13a+zr3Qfz4x+hpAbb0AfHUXR/x6m6ttvsebnEfXiiy6/6JuL8joL2zIr2JxRwbq0UopqzMfb3HQaRncJYVrfSCb2DsfP1aLLFTYzIWVbYcHnkLYMHFblce8w6H85DLwagv86U7DaXM03h77hu8PfUWutBaBfSD/uHnQ3QyKGNPk8e1UVpa++StDCRVgBty6JRL/yCh49ezb5HBWV1kxdjTIhKZOz0fgOxFZQhzWrhs6dO1NXV0dRURFbt25l9OjRLRKf7BAkr8lj12/ZmOttAHQZHMbw8xPwb6Kwnt1q5cCaFexY/CN1VcrGUXzSQMZcfi1h8c5egcefV2nGsCoH495SECDpNfiOj2UvmXTu71qQFkJw6NAhVq5ceTyzIDExkSlTprRq/2oVlVZPtVIU0yN8CKmpiu1Ugv59TKZEPD3j0GskPuwVz9UHMtlQVccFezP4rl8CfX1b9gikEIJPN2bx/LJDCAEzB8bw4sy+6F0t/o78AQuvB4sBIvrCpd9DQPOIVbJsIy//SzIz30SWzej1gXTt+hgR4ee7FIvKrDYeTMtnGV4gBNdGh/BUlyjc1Y10lXZKrE8sOWFQHuxGSHk5lm2bGTWrNys+SWHbkqMkDgjF09eN8VfPxVBWytFd21n4whNc/syr+AQ5W0W0dY5UHeHedfeSY8jBR+/D86OfZ0LcBKd+sslE8XPPUfPTQgACr7yS8IceRPrT5rosC7b/ksme5crY3n1YBOOv6I7OrXECg6G8jLTF8zGWlaB39+Dc2+6l6zDVelCl4zEiwJtfy6pJpQ9WawX19YrYesxuz5KlCMzuCaeuLdUacNTbqPjmINhlvAaH4z3UeVM7OTmZtWvXAjBr1iyio6Mbv4bDwv79N2Ew7MPDI5qkpE/R6RpnJi8sruSOQ7nIwEOdI5ijWnm1CKrA3Arxdtfx+sX9uWxoHPd/t52cGjM3r4Qoryd5J/JXBhXNh/Uvokv+nrvOfoJ+49/i0c2PsSZvDQcWH+DRYY9y9rRp6MPDyb/tdurXbyDrgguJfvUVvIY0LaD+F0oNZvbkVrMts4ItR8s5UlLXqD3M152ze4ZxVo9wRnUJxsvtb370HHbIWgcHFsLhpfSxGBoaJOhyDgy8Brqf+7eK4OQYcph/eD4L0xdiarDSGBw+mBv63cCIyBFN+7AKQc3iJZS+/DKOqiqETkfojTcSfNONaNzVTB6VtovFGABAdWkW3pMjqV2dR+36fHSddcyYMYNvvvmGtWvXEhcXR1xc3BmLy2GXOby1iIzfBIeM6QBEdQ1g5EVdmvRZtttsJ4TlSiX7OCw+kTFXXEt8vwFN/y6DBcOaPOp3FoNDgEbCe1gEfmfFovVzR6zLdPm8nJwcVq9eTW6ukmkZGhrKpEmT6Nq16dMPKioqf5P/Z+++o+Moz7ePf59t6r1Xy3LvsuWKKTaY3osJJBBKAr+QkAAJ6SRAeJMQQkICCSGQUELvpphuY2OMce+9SFazeu9b5v1Dwrhbli1pJV2fc/ZI2p2duWckX565d+aZ+rbxy6vsMRTWBhLqaiE9ZA0rV32T7AkvEBSUTqDdxlNjBnL9+hwWtTeZnxw9sMcuhWz1+LhrznpeWVEAwB2zhvKjMwYfvG/h88GiB+HTPwAWjLwELnkUXF0zlnR5+ads3/EHGhvbsiwx4WKGDPk1Ltehm2JvlVbxy20FVLq9BGHx15EZXKozgKSPSw1LBWP4ZLzhqk+g6vnnGfSfJ0gdHkXBlirmP7uF824Zg81m5/wf/ZRX7/s1e7Zv5Y0/3s0Vv/k9weH+3+TpqHd2vsPvlvyOZm8zQ6OG8tCMh0gPP3gfsGX7dgruuIPWHTsxAQEk/vY3RB7i3h11lc188tQmirZXY2yG6ZcPZuzpqQdlY/6m9bz7tz/RWFNNRHwCF//0N8SlZ3TVaor4tdNjwmF7IWuYQF3LO9TXt33AGxoaCnx9BrO/N5gtj4+K5zbjrWrBmRpK1MUH7xfl5OTw1ltvAXDOOeccdEN0n8/Nho0/pKr6S1yueMZnPXvQlVevFVfyo/bm8k8zErkjw3+GeOxv1GD2Y5Myorl7WiA1kUP47+c5bCis5fKci5hqG8wDQc+QXr0bXv8OMxLH8vLU7/GLwg9ZV76O2xfczhnpZ/CrKb9i4BuvU3jnT2lavZrd111P7A++T+z3vtfpITMsy6KioZWtxXWsLahmbX41a/NrKK5t3m+6QKeNiQOimTYohlOGxDI6OaJjYyoDNFXDznmw7UPY/lHb+ITt6kIHETbtOhh1WYfO9PFZPj4v/JwXt7zI54Wf731+evJ0bhp7E9kJ2Ud8f+Py5ZQ8+CDNa9cBEDxlCnnnnsPIq67q2LqI+LHWlgCwheNuqaU51Y1x2mjeWkVwKAyeMZjJkyezbNkyXnrpJW666SaiuvgqCJ/Xx9alxSyfm0tdRVumxKSEMOWiTDLGxh7yQyB3czMbFnzMsrdfp76iHIC49Aymzf4mgydOPezQNZ6KJuo+K6BhZQl4LDAQPCGe8FkDcEQf/lL7/Px8Pv30U3btamvWBAcHM2PGDLKzs3t8KBGRPqO17UPqbdVtP54+Io3oqCxqalbt12QOsdt5fmwmt2/J542SKr61bicPDU9nduLBN4vqSpUNrXzvuZUsy6kk0GnjL7OzOH9s0sETNlTAGze17eNg4PS74JQ7u+RmfvUN29mx/Q9UVH4GQFBQBkOH/obYmBmHnL681cOvthfwdmk1AKdGhXJlVaGay9IvhLvCiQiI4MPR1Vy1yEXD4sW05uYy89rhvPL75eSuK2f9ggLGzkzDGRDIJT/7LS/99meU5eXyyr2/5Iq7/h+hUd2bOydai6+Fe764h9e3t52NfNGgi7hr6l0EOfYf496yLKpfe42S3/8Bq7kZV2YmKQ89ROCwoQfNc+fqUj59dgstjR6Cw12c+Z1RpB5wQzKvx8OS115k2ZxXsSwfYSnpfOve+wkK01jv0n9lBAUwMtDDpuZgvqgPoqGhAWhrMPsa3XjKmsBhw5US2sOVHp5lWVS/vZPWnBpsYS5irh2Jce5/XFZfX89LL72Ez+dj6tSpTJ069YB5eNm0+aeUl8/D4YhkfNYzBAcP2G+afZvLPxuYyI/VXO5RajD7OZsxXDo+lUuyUlieW8UzS3KZv9nOzIY/cJl9ET92vEZS8TrS5vyQRwKSeCZjMi94tzAvbx5fFH3BNSOu4dtPPELwE89S8fjjlD/yD+rnzSfx3nsJGjP6kMv0+dqayHtqmiiqbqawuolFG1r455Yv2FFaT1Wj+6D3hAU4GJsWweSMGKYNimFcWgQBjg42W3xeKNkAOZ+1NZXzloDP8/XrsUNh9BUw+jJWbihkxvQZR51lSUMJc3Pm8tq218ivaxuHx2VzcV7meVw9/GpGxow84vubt22j7K8PUd8+DqI9NpaEn95J+EUXkbNwYcfWS8SP+XwWnhYvdscAvK3r2bziM7LPPJua93KI22jDd5GHs88+m4qKCnbu3MkLL7zADTfcQHDwib8E3dPqZcuSPaz+OI/a8rbGclRiMCGZTVx0zeRD3sCvsbaGNR++y+oP59Jc13ZlQ2zaAKbN/iZDJk07bGO5dU8DdQvyaVpXBhZgIGhMLOGz0nEmHP4MwsLCQhYsWMD27W1nVAcEBDB16lSmTZtGYKD/jP0q0ie4GwHYUuED4IwRyWSNfoo1a29oazKvvIqxYx8jPHwsLpuNf4xIJ97l4LH8Mn64OY+VtY3dNqTDxqIa/u/ZlRRUNZEQHsAT357I2NTIgyfMXw6vXge1hRAcA5f/BwadfsLraWkpISf3UYqKXsSyvDgcYQzM+CGpqddisx18Yy6Pz+J/ReU8kFNMtcdLsN3GPYOSuTY5hoULC054fSL+yBhDVlwWC1sWUnPaOCI+Wk7FY/8m+U/3M/Oa4Xzw+AYWv76DpEGRxKWHERwewZW//QOv/f43VBTk8fI9P2f2Xb8/4j0e/NnGio08sOcBSj2lOG1Ofjnll1wx5IqDPtj3VFZSfO/vqPvwQwAiLr2UxN/che2AfUN3q5fPX93OpkVFAAwYE8MZ3x5B0AE39aou3sN7jzzInh1bwRimXHol7vhUNZdFgPNiXGwq9LGgOY2Rnt0YY3A6nbTsrgbAlRzi1+Mv1y8uomFZMThsxH57JI6I/a/8rqysZN26dbS2tjJixAjOOuus/V5vay7/nJKSd7DbQxmf9RShoft/kPXfgjLu2l6IhZrL/kIN5l7CGMPkgdFMHhhNs9vLZ9vK+GBjOlfvmMnpDe/xbftHZLTs4Y6tb3GZzcWvYtJYF9rEE+uf4L/rnic56hxmXPNjTn/7Gdi0iV1XXsmWqeewdMYVVOKkttlDXbOH2iY3ZXUttHp9h6ii7UzisAAHgxNCGZsSwdjUSMalRZIZG9LxM5S97raGcu5iyP0cdn8BLTX7rKwdMk6BoWfD0HMhdvA+by487Gwb3Y3My5vH2zvfZumepVi03UkwKSSJbwz7BpcNuYyowCOfidOyaxcVjz9Bzdtvg8+HLTiY6O/cSMz112ML6ZrLV0V6gs1mcAXa8XlG421dz6aF8zjp4W/iXFcGBfVUvbKN6G+NYPbs2fz3v/+lrKyMJ598kmuvvZaIiBNzOVZLk4cNCwtYO7+Aptq2MdUj4oOYdP5AhkxK4LPPFh7UXK4sKmDV+++w8dOP8bjb3pM4eCiTLrr8sI1ly2fRvL2Khi+KaN7afkWEzRA8IZ6w01Jxxh+6ae7z+aioqODpp58mNzcXAJfLxZQpU5g2bVqXNNtFBHC3fdC0o6rtA+3JA6NxOILIGvcUa9fdTHX1UlauuooRw+8nMfEibMZwz+AUMoIC+O32Qp4uLGdVbUOX35TuzdUF/PKN9TS7fYxNjeDxayeSGHHAB04+Hyz9F3x8N/jckDoZZj8NESmHnGdntbSUsXv3YxQWvYDP1wrYSEn5JpkDbz/scBhfVtfz6+0FbKxv296nRYXxwLBU3chP+qUJCRNYWLCQz89I4PxPndS8/TbR132bQRNGMuqUZDYuKmLuP9dy+c8nEhYdSGh0DFfe/Ude/8NvKc3ZyUt3/5xLf/5b4gYM7OlV6TCf5ePpjU/zyOpH8Pg8DI4czP2n3M+w6GEHTVv70UcU33Mv3spKTHAwSXf/loiLLz5ouoKtVXz63BZqy5qwOQwnXTaYsTP3HxLDsiw2LPiYT59+AndzE6ExsZx3609IGzmGBV10k1OR3ubSpDQeLNzNUu8IBjsKCDE2jDG0FrRd5eVK7ZkhwTqiaWslNXPbrvaMnj0UV9r+tdbW1vK///2P1tZWBg4cyGWXXYZtn2M4n8/Dps13tjeXgxk39gnCw8fufd2yLB7IKeah3SUA/DoziR8OSOiGNZOjUYO5Fwp02jlrVCJnjUoEsthTM5PVu3/Jlxs+YFT+S4xsWsHzZTtZW+vi4ahIlgVBAW/wQpKDVy8fy6WfD+Ti7SsZueR9ElYv5vlhZ7JywGS8tq/POI4MdpIUEURyRCBJkYFY1cWcO308g+NDSQgPOOx4xQdxN0P5NtizBorWQNFqKNkI3pb9p4tMhwEnw+Az2h5BHbsks661js8LP+fTvE9ZULBg79jKTpuTGWkzuDDzQk5NPRW77chnUzetW0fFE09Q98k8sCxwOIi6+mpiv38Ljpi+d/MOEYDgiABamhKJSR1IRUEOS+e8zNQrr6To4RU0baygZu4uIi8cxLXXXsuzzz67X5M5NrbzN06oKm5g/YJCtny5B3dz212R49LDmHD2ADLHxx30YZXP62XniqWs+WgueRvW7n0+c8IkJl14OSkjRh0yk3xNHhpWltCwpAhP+5AbxmkjZFIioaem4Ig89JnHHo+HdevWsWTJEsrK2saCdblcTJo0iZNOOmnvDTZEpIs42/5tWu5mUiKDSIpou0Tb4QhlfNbTbN12D0VFL7Nx0x3U1W9kUOaPsdkCuD4llqywYG7amMu6uibOXLGVewencFVidMf3WzrA7fXx+7mbefqLXABmZ6dy3yWjCXQesK9RVwxzboGd89t+nvoDOPPeDt03oqNaWsrIy3uCgsLn8fnaci4+/jwGZvzwoDN9vpLT2MIDOXt4s304jNRAJ78bnMK5sREndDuJ9CZfDZv3iWc913zrm1Q9/QwlD/yZ9Kee5JQrh1JV3EjR9mreeXgNl/00m8AQ594zmd+4/16Ktm7ihd/cyTm33M6waaf08NocXUFdAXd/cTfLipcBcFrYaTx4/oMEOvbfN/JUVVHy+z9Q++67AARPnkzSH36PKzV1v+laGt188foONi3eA0B0cghn3jiS2AOaYJVFBXz8xD8o2LQBgKFTpjPr5lsJCvXfZplITxgUFsUY8zHrraHsTEtgQnHbSTKtBXUAOFP9c3iM1qJ6Kl/YAhaEnZFO8Lj9b3ze2NjIs88+S3V1NWFhYVx11VU497kxqM/nZuPGOygtex+7PYSscU8SGTlx7+sen8UvthXw3J4K7AYeHJbG1Unq1/gLNZj7gKSIIJLGpsDY7wDfgfpSfJvnMnzDW/wnfxFLXXYei4xgZVAgLQmreOlyqNgTyDc+gpiiWn609nVuLV4E3/4uoRdeQlxk0EE34VuwoIKThxyioeRugvpSqC9pe9QUQMVOqNjR9rUmH9rPJN5PdCaknwQZJ0PG9LYGcwcV1BWwqHAR8/Pms6J4BR7r6+E0xseP54LMCzg742wiAo58lqXl8VD/2SIqn3mGxqVLATAuFxGXXkrMd27E1Y03NRPpCUmDIqguaSR93GVUFP6VFe++yaCJUyge7yNllYP6xW2XNkacn8kNN9zACy+8QEFBAY8//jjnn38+48aN6/CyfF4fuzdUsH5hIfmbKvc+nzIskuyzM0gdEXVQY6OlpprFrzzPhvkfUl/V9h5HQAAjpp/GhPMuJjZt/zG4oO0T7dbcWhpWltC0tgzL3XY1hj0ygJCpSYRMSsQecujmTkVFBatWrWLNmjV7xzpzuVycdtppZGdnaygMke7iajtoCqWJCQP2/8DZZnMxfNjvCQ0dwfbt95GX9x8qKj5j5IgHCA8fQ1Z4MB9PHMrtW/L4oLyWO9rHZ35gaBoDg4//zNw9NU386MXVLM+twmk33HPRKL45Of3gxuyWufDWrdBU2TYkxkX/gOHnHffyv1JXt5n8/CcpLnkXy2q7miMu7iwGDryNsNDhh3xPQXMrD+UW81JxJV4LAmyGH6THc2t6AsF+fJmtSHcYHTOa+KB4CusL2XPFdILfnEPjl19S8+YcIi+7lPNuGcMbD66isqiB9x5dxwU/HIcr0EFAcAhX3HUfnzzxTzZ9Np93//YnSnN2Mv2qa7Ed5QSXnuD1eXlxy4s8vPphmjxNRAdGc9/0+/Dt8O3XXLYsi9p351Lypz/hLS/HBAUR/5OfEPXNq/e7WsyyLHatKeOzl7bRWNOKzWGYeG4GE84egN3x9XQet5tlc15l2ZxX8Ho8BIWFM+O6mxhx8gx9sCVyGFeE7mR93VDWJA5jYvlKANx72o9R/HD8ZU91M+VPb8Rq8RI0Lo7wM/bvpzQ3N/P8889TVlZGXFwcQ4cOJSDg630zn6+FDRtuo6z84/ZhMZ4mIuLrm7U3eLz8YPNuPiivJdBmeHxUBmfF+veNDvsbNZj7otB4bJNuIGDSDdBUxdS8L5mat4SteYt4qWk3c0OC+DiplU++bXHSFhvXLvQSXVIKf/4Dnsfvo2Wci8DR4dgCXWBzgt3FuJpa2BnU1lD+6tFSt//QFodi7BA9EJLGQVIWJGdB4lgIiuzw6uyp38Oy4mUsK17G5wWfU7n76+aUzdiYmDCRmWkzmZk+k7Swo9/4z11YSPXrr1P9+ht4Stouq7CFhhJ19dVEf/taHHFxR5mDSN+QMTaWzV/sIX+zi3Fnns/aj97lzfvvJfP8yxnzjRlUvryV+sVFeMqbiL5qONdeey1vv/02Gzdu5M0332TXrl2cc845BAUFHXYZlUUNbF6yh61Li/cOg+Fw2hg6JZExM1KJPeDT96b6OrYtWcSmzz6laNvmvc9HJ6cy7qzzGHnq6QSGHLxD5alspnFVCQ2rSvFWfn3T0YDBkYROSyJwRMwhx3L2eDxs3ryZVatWkZOTs/f5hIQETjrpJCoqKpg+fXrHN6qIHL+AtvE3w00jYYkHn9VmjCEt9VrCwkayadPPaGjYxoqVlzMg/WYyMr5PpDOYp0YP5LWSKu7eUciiqnpmLt/CHQMSuSktrtPN1PlbSvjJK2upanSTEB7Av67JZkL6AVdcNdfCx7+BlU+3/Zw5Ey59DMKOf1xAy/JSUbGQvPwnqapa0v6sIS7uLDIyfkB42KHvrVHQ3Mo/80p5vqiCVsvCBlyVGM2PMxJI13AYIgDYbXbOzzyfpzY+xTtln/KjX/6CPb/4JSX/7/8RnD2BgAEDuPCH43j9gZXs2VnDWw+t5oJbxxEU5sLpCuCc799BwsBBLHj2vyx76zUKt27mnFtuJzLxEDf87CG7qndx9xd3s6ZsDQDnZpzLzyf/nJigGBbsWLB3upYdOyj+3X00Lms7uzkoO5vkP/we14D9P9gvL6jn81e3U9g+/FhiZgQzrx1OdNLXV3pZlsWOZUtY9OLTVO1pO3Fh9MwzOfVbN2isZZGjOCMqmEdr91DiSmJrRAyW24u3qhls4Ig5/PFXT/A1eSh/aiO+2lZcAyOInj10v2Ov5uZmnnvuOQoLC4mMjOTaa69l1apVe1/3eOpYt+57VFV/icMRzvisZ/YbFiOvqYXr1uewuaGZCIed/40ZyJRI/2uy93dqMPd1QVEw7FwYdi7DgLvdTdyxZzXv73iLj0pXsGREKUuGGU7ZYDH7cx/xNXaKP/NS+GUFwZlNpAyuJyDUSxRA9SHmb3NCaAKExrd9DUuEmMFfP6IGHNOloOVN5Wyq2MTmis1sqtjEpspNFDcU7zdNuCucyYmTmZk+k1NTTiUyMPKo8/XW1VE/fz41c+fSsOjztmEwAFdGBpFXXknk7Cuwh+nSLOlfMsbGEpceRlleHdhPZlB2GTtXLmXrnJcYfGsK6d8ZQ8Vzm2jeWkXxX1cSeWEml19+OZmZmbz//vusXbuWbdu2MXPmTLKzs7Hb287UqS5pZOfqUnauKmubd7vIhGBGTk9mxPQkAvc5i7ihuoqdK5ayY/kS8jasxetpuyrB5nAyfNrJjJoxi7RRYw86w8Vd3kTThnKaN1bQmv/1cuzhLoInxBM8IeGQ4yt7vV5ycnLYsGEDW7Zsobm5rSHtcDgYPXo02dnZpKa2jReosQBFekBUBgAZphgTe/ghaSIjspky+V127vor+flPkbv7XxTteY2BA39EctJsZidGMzM6nHt2FPJaSRV/zNnDk4Vl/CQjkauTYnB28N4RrR4fD360lcc/axtP8LShcfzlynHEhh7QnN3xCbx9G9QWgN0Fs+6BKbfAcd5ssLExlz17XmdP8Ru0tLTtE9ntISQnzSYt7TqCgg59xdXKmgb+XVDG3LJqvBYY4LKEKH6SkcCgYF2RIXKgCwddyFMbn+K9nPf44aU/JPyzc6l9730Kf/ozBjz7P0KjArnkx+N5++9rKN1dxxsPruKi27IIiw7EGNN2dVV6BnMf/jOFWzbyzM9u5bRv3ci4M8897M2Hu0Ozp5knNzzJf9b/B7fPTVxQHL+Z+htmps/cbzpfQwNljz5K5TP/A48He1QU8Xf+hIhLL92v/sbaVpa+s4vNnxdhWRAQ4mDKhZmMPjVlv4ZS4ZZNLHz+SfZs2wJAVHIqZ970A9JGjumeFRfp5aKjJ3Pe7md5ipv5PHkQjaWNYIEjNgjj8J8rjyyPj4pnN+EpacQRH0zstSP2q++r5nJBQQGRkZFcd911hId//QFTS0spa9beSH39ZlyuOLLGPUlY2Mi9ry+pruc7G3KodHsZFBTA/8YO1H6Mn1KDub9xBhGefhLfSD83VDgyAAEAAElEQVSJbwAVTRXMy5vH/NT5/GLcCsZubOLcFT6GFdpo2RLCri0h5GUEsXtEJBFnTScuKYOEkCTiw5KJDkvBHhTT4QMny7Kod9dT1VxFZXMlRfVF5NXlkV+XT15tHnl1eVQ2Vx70vjBnGNkJ2UxKnIQpNHzrzG9hM0dfpre2lrp586n78EMaFi/GcrfdLMg4nYSdfTaRV84meNIkXZYl/ZbNZjjt6mHM+esqtn5ZSsbY88kY5yN37XLe/usfGD79NKZccQW+BTW05tVR+cIWAgZHMmrGINJuvpm5c+eye/du3nvvPRYvWkJaxAhaCkOp3vP1GcSuQDuDJyUwYloSCQPDMcbg9bgp2LyB/I3ryVm7kj3bt+790McYGwPGjmfkqaezp9nNGWd+fUdhy+OjNa+O5h1VNG2swFPSuPc147QRNCqG4OwEAgZFHnS2stvtZvfu3WzevJlNmzbR1NS097XExESys7MZM2aMhsEQ8QdxbWMHDzGFeI7QYAaw24MYOuTXxMefw/Zt/4/aunVs3fob8vL+y8CMH5CQcD7/GDmAbyRGc9/OItbVN/GzbQX8K7+UOzISuTg+koAj7MfsKqvnjlfWsja/GrvN8NOzh3HzKZn7jxXfVAUf3gVrnmv7OXk8XPxPSBjV6U3gdtdQVvYxe4pfp7p62d7ngwLTSUn9FinJ38DhOPiD8Wavjw/Ka3iioIyVtW0Z6TBwaXwkt2UkMDzEv854EvEnQ6KGMD15OouLFvP0pqf50d1307hmDc3r1lF0509J+dtDRMQFc9lPs3nn4bVUFNbz6v0rOOvGkaQOjwYgffQ4rv/Lo8x78jG2fvEZ8578F9uXLWbmdTcTm57RretjWRbz8+bzwPIHKGpoO3v40sGXcuekOwl3fd3csdxughYsZMev78JbUQHGEPmNbxB/x+3YIyP3TtfS5GHd/HxWf5yHu9mLzWYYMzOFSecP3O/EgdLcXSx57UV2LG+70iIoPIKTrvgmY844G7tD7QeRjoqMmMDp5nu8b11AcVAyzxaUcwHgiPOfG41bXovKl7bQsqsGW5iL2BtHYQv+Og/2bS5HRERw3XXXERX19dVfDQ27WLP2BpqbCwgKymB81tMEBbVdlW5ZFs8WVfCr7QV4LJgZHcZjIwcQ4VSO+Cv9Zvq5mKAYrhx2JVcOuxK3183Gio2sKFnBymXzyfhoExM3tpCe20R6bhO+D15jwwDD+0MM6zMMxbF2IgOjCHIEEegI3PvVYPD4PLh97raH101dax2VLZV4fJ4j1hPiDGFE9AhGxIxgRPQIRsWMYkD4gL036VtQtuCwzWWrtZWmtWtpWLKEhi+W0LR+PXjbbiCGzUbw5MmEnXM24eeeiyMq6pDzEOlvEgaGc94PxvLeo+vIXVeN3XkqockhNJZ8zpbFC9n6xSIyJ0xi1OhTCNrupGVHNS07qvGEuxgbMg6bI5a85o3U1FVRU/cFxuskNCqF4YNGM2LiANJGRNFYU0Hp7k3sXLGLom2bKdq6GU/r1zf6tDudDBg7nsETpzIoezLBEZEAlM1bQEteLa25tTTvqKY1p2bvmMoAJtBO0IgYgkbFEDA0Cpvr67EOLcuisrKSHTt2sGPHDnJycvB4vs6f2NhYRo8ezahRo4jTsDgi/iVmCB5sDDR7qHQ0A0e/jDoyIpuJE9+gtOwDdu58kKamXDZt/inbd9xPSspVTEr5Jh9MHMq7ZTX8adcedja18KPNedy3s4hvJ8dwXfL+95mwLIvnvtzN79/bTLPbR0pkEA9fnUX2gOh9J4INr8OHv4b6YrAHwMxfwbRbwX7su9gtLaWUlX2M1/cSiz7fhtV+jwmbLYj4+HNITppNZOQkzAH7QZZlsaK2kVeKK3mrtIpaT1tORjrsXJscww0psSQHuo65HpH+6Nbxt7K4aDEvbH6Bb434Fmn/eozd11xD3ccfU/y7+0i8525CIgK49Cfjef/f6yncWs3bf1/DpAsGkn1uBjabISgsnAtu+xlDp5zEJ/95lLwN6/jfz37EmNPP4qQrv0VIZNcfh+yq2cWflv2JL4q+AGBo1FB+NeVXe29mCG3ZUffhh5Q+9BDhu/PwAoHjxpJ4110Ejfn6LOOWRjdr5xewbn4+LY1tuTRgdAzTrxhMVGLI3nkVbFrPsrdeI3dt22XvjoAAJl5wKZMuvAxXkP80xER6C5stgNioCVxd+SwP8XP+1lDLqQ4IjfWPE2Isy6Lqze00bajABNqJvWHUfjdRb2ho4Pnnn6eoqIiIiAiuv/76/ZrLlrWVlavuxO2uIjx8HOPGPoHL1XbDvjqPl59uzWdO+w2J/y8tjt9kJuPo4NVn0jPUYJa9nHYnWfFZZMVnwZjvYt1oUVaRT957r1H95rskbithbK6PsbltZxpWhnpZn1HKxgGGnARDTix47Uf+Bx/sCCYqMIrowGgSQxJJC0sjPSyd9PB00sLSiA+O79DZyZZl4dmzh6YNG2jeuInm9etpXL0aa5+zErHbCZ46lfBzziZs1iwcsYe4SaGIkDY8mqt/O4XFr+1g15oycE/AETIIb/MyvK0b2blyKTtXLsVlC2ZIxDQGh40msBYSaluJtyIo84xlm6uI/IAyGuwt1NlzWV6Qy7o8D/baSqgsw9bSxL7pEJOaTtqoMaSPHkf6qCzszQZPRTOeTY1UFpbiLqwns9hG2cdr96vVkRBM4KBIAodHE5AZsffyK4/HQ2F+PgUFBeTn55Ofn09dXd1+701MTGTIkCGMGjWKhIQEXb0g4q9cway2hjHJbCa8cBHEXd6htxljSIg/l7jYWRQXv0V+wTPU128iN/ef7N79GFGRU5kQfw4fjT+TdyptPJ5fxqaGZv6SW8LDu0uZaAXTXFbDSIeTu97cwGfbygC4dHwK91w0ioigfYb8Kt0M7/0Uche1/Zw2pe1Gfu1nX3eE19tETc0qqqqWUFm1hNraNfu8aicqahqJCRcRH38eDsf+4wz6LIs1dY18XF7LnNIqcppa9742NjSIbybHMDsxihC7/91kTMSfjY4dzRnpZzAvbx6/Xfxb/jXrX6Q9+k/yvvNdql9+GXw+En/7GwKCnVz0oyyWz81lxfu5LHsnh8KtVZz2zWF7m65Dp55M6sgxLHntRdZ+/B7r5n3A5sULmXjBpYw/54IuGYO4uKGYx9Y+xpwdc/BaXsJcYfxw/A+ZPXQ2Dlvbob/l81E/fz7lj/2b5g0bAPAkxDPg178m7Mwz9+4fNdS0sGFhIes+LaC1qa2xnDI0kknnDyRlWFuTyON2s3PFl6x8dw57dmwFwBkQyNhZZzPxgssIjY454eso0p/ExZ5BduXdDHZvZ4dzCA+MCOSR8J6/f4JlWdTMzaFxRQnGaSP2+lG4kr/eV6mpqeHZZ5+lvLycqKgovv3tb+/XXC4ofAGf9Rd8bi8xMTMYM/oR7Pa2D6LW1jXyfxtzyW1qJdhu44GhqVyRGH1QDeJ/1GCWwzLGEB+bTvy3f8yC9AmMyMqibv6nNHzxBQ1LlhBdUcFpGyxO29DWcLacDnwZKXiHpGOlp2BLTsSRlIg9OYmw+FSig6L3uzvx0VheL97aWjwlJbTm5eHOyyNs6VJ2P/MMLVu34a08eDiNgCGDCZ42jZBp0wieNAl7qAZ+F+mI8Nggzv3eGGrKmvj4tS8J9GVSXZJITelJeJq34XPvoNVTwMaqeWyuXkB6yAhSQ4aRGJhBvDOMeGsYVvNQ9tiq2WjLo8BeSYvNAZHxEBmPw7IRYw8lISiapJAEImyhhNa7cHxqKJuzCnzWIetyJATjSgsjcFAkzoHhNNlaqauro6CqkLJFaygrK6OsrIyKigp8Pt9+7w0KCiIzM5PBgwczePBgwjTOukiv8Yl3ApMcm3Fufw+yOtZg/orN5iQ5+QqSki6npmYl+QXPUFb2EZVVi6msWgxb72ZI5ESeiJnK9sTJvFQdy0cVDSyxnCx7fwPObTXgsQgJdHDfJaO5LCvl65k3VcNnf4alj4HPA0HRcOa9kHXNEYcMsyyL5uZC6uo2Ule3geqaFdTUrMGyvm4M22wBREefQkVFOqec/H2czv3Pcqxxe1hS3cBHFTV8XFFLWevXV2UkuBxcnhDN7MQoRoRqGAyR4/GrKb9iRcmKtjOZt7zAtyZ9i5S//43C2++g+tVXce/ZQ8rfHsIeGsqUizJJHhzJx09tpHBbNS/dt4zxZ6aTfV4GTped4PAIzrjxe2SdfT6fPfcku1YtZ8lrL7D87dcZPfNMPLHHfwNQgKrmKv67/r+8uOVFWn2t2I2d2UNnc+v4W4kObGvMWG43NXPnUvGf/9C6YycA9rhY4m79IWtjYxhzxhkAFOfUsP7TAnasLMXnbds/SxnW3lge2pZLFQV5rJ//IRs/+5TmuloAAsPCmXDuhWSdfQFBodrnEjkREhLOZ8vW3/E9+9/5te9hPkh2MjfAw1U9XFfdvDzqPy8EuyHm2pEEZETsfa28vJxnn32Wmpoa4uPjufbaa/ceh/l8brZtv4/CwucBSE/7DoMH/xxj7PgsiycKyvh/O/fgtixGhwbx71EDNN5yL6IGs3SYPTKSyMsuJfKyS7Esi5Zt22n44gua1qyhefNm3Hl52Lfvxr59937v8wG1Lhf1EeHYQ0KxhbY/AgOxLB94feDzYnl9WM3NeKur2x61tXvHZf1KMPDVqKv2iAgCR48mcNQoAkePImhcFs6E+G7ZFiJ9VURcELEjDDNmjNvvectn4XG3UllUQHleLjWlxTQ2NrK1bj2B9UGEeiMI9oSS0BpOsmccHo+XQlslubYyCu2VNJoWSny1lDTUsq4hd+98nZadYEcATrsDl9OF0+XEEejC54KqhhpCw0Jxl7mpz6mnoaHhiLXHxcWRmppKWloaaWlpxMTEYOvBm+qISOd97pyG1/cCts1vQc3vICLl6G86gDGGyMiJREZOxO2upqz8E0pLP6CycjHV1cuorl6GE/i2sXOy90z+tWImFdVtzVlvXCAVoyL5UXUZT69q5NQwJ5fnvU7GikcwTVWAgYnfgdPvguD25o1l4fHU0dycT1NTAU3N+TQ3FdDQuIO6uk14PDUHVkhY2CiiIqcSFTWNyMjJOBwhLFiwAIcjkrymFlbUNrK0up5lNQ1saWhm372ilAAnZ8VGcE5sBCdHhWLXVRkiJ0R8cDz3TLuHOxbcwYPLHyQtLI1TZ85kwDNPk//9H9Dw+efkzr6S5Pv/SNC4caSNjObqu6fw5Zs72bR4Dys/2M3WZcVkn5PB8GmJOJx2YlLSuPTnd5O/aT3L33qNnDUrWfPhu2AMTVs3MPLUmWROmIzD2fGbowOUNpby3KbneGXbKzS42/aTzsk4hx9k/YCMiAwAPFVV1Lw5h6rnnsNd1DYWsyMpiZgbbiBy9hXYgoLwfvQpmz4vYuPnRZTmtjWMjYHMrDjGnZFG8pBIastLWfXeW2xZsmjvjfsA4tIzGDvrXEaddgZO3ctC5IRyOqNobR1BUsAGvl39BU9EncxvG2uY1tTCgKCeOZO5dl4etZ/kgYHoq4YROPTrD8QLCwt54YUXaGhoIDU1lW9+85sEB7edmdzSUsqGjbdTXb0UY1zAtQwZ8isAdjY2c8eWfJbVtOXYjSmx/HZQMoF2Hcv1Jn7bYDbGzAbuAUYAky3LWnGY6c4B/g7Ygf9YlnV/txXZjxljCBw2lMBhX18K6q2ro2XLFpo3b6G1IB93URHuwiLcRUX4amrwlpXjLSs/puXYwsNxxMbiSkvDOSCd3S0tjDrjDFyZg3CmJOsSdzlhlDlHZmwGZ0AACQMHkTBw0GGnsywLX6MHX10riXWtZNW7weOjtrGePVUl7KkppbKphpqmOmoaanF73NSYtjsi09r+qP96ftU11fvNPyQkhLCwMCIiIoiLi9v7iImJISCg5y8XEzkWyp3DqwtK5f26KVxgvoTFf4fzHjiu+TmdkSQnXUFy0hV4PHVUVn5Bdc0KistX8/L6VD7MmYnHchDuquWc4fOpS4hhnZnAbt9ABmx9natynyS1pQSAFRGjeHHopRAVRPKavxBlFRHhLSTMm499nzOSD64hmrCwUYSFjSI8fCxhEZOpsUIpbnGzq9XNzqIGtjVUsNwKpXjRehq8+1+V4TKGcWHBnBETxlmxEYwICdR+kBwz5U7HzBowixtG3cBTG5/ixwt+zKNnPMrkrMlkvPwS+bfcQuuOneRe/U1ivvtdYm/9AUGhLmZeO4IR05NZ+OJWyvPrWfjCVpbPzSFrVjqjTknGFeggbeQY0kaOoSwvlxXvvMGmzxewc8WX7FzxJYEhoQyddjLDpp1KyvAR2B2Hbzbn1OTw9ManeWfnO7h9bTcyn54yndvG38aImBFYlkXjqlVUvfQSdR98iNXalk2uzExivvtdIi44H59xkLuhgq3LdpCz1mKLr61pHBDsYOTJyYw6JYnWpjJ2rfyI+U8uoWTX9r3LdwYGMWL6aYw542wSMgcri+SIlDvHJ8B1BrCBU4IfZ2vpJD6LD+Bb63bxzoQhRHXzDe9q5+VR+/FuMBB15TCCx3x9L5tNmzbxxhtv4PF4yMzM5KqrrsLlarsHREXFZ2zc9BPc7kpcrjjGjvkXq1fX4LUsHssv4885e2j2WcS7HPx5WBpnx0YcrgTxY37bYAY2AJcB/z7cBMYYO/BP4EygAFhujHnbsqxN3VOi7MseFkbwpEkET5p00Gu+xka89fX46hvwNdTjq6/H19QExmDsdrDZMXYbxuXCHhnZ9oiIwBxwp+EtCxYQeuqp3bVK0r8oc04AYwz2ECf2ECfO9jEIAUKAJAbvN61lWTQ2NtLY2Ehraytut5vW1la8Xi8Oh4MNGzaQnZ2Nw+EgNDSUkJAQ7BpPVPoW5c5hDE0I5Z9VF3O+fSlm+RMw+jJIn3pC5u1whBEbexaL8kfxp/lTKK1ru+noKSll3D6zGLvXS1P9EqLzXiZ1dy0hzW1DUWwPSeV3A2/h4+jpbaf2tew/X2P5CDe1hBg3gTZDkN1GkN1BgD0Qny0EN05a3BbN5T5qir2Ute7mMIMDgddHjNPBhPBgJkeEMDkihHFhwTqTR04E5U4H3ZF9B/Xuel7d9irf++R7/GLyL5g9dDYDX3uNsr8/TOXTT1Px+OPUvvsusd+/hYiLLyYxM4LZv5zEzlWlrPxgNxUF9Xzx+g6Wvb2LzPFxDJ+aRMrwKOLSMzj3Bz/GMXAYUb5WNi36lLLcXaz75APWffIBzoBA0kaNYcDYCQwYM46o5BS8+Pis4DNe2/YaiwsXY2FhMJw54ExuHH0jo2NH07Irh7KXH6X2vff2DoOBMYScegpRV12FGT+NvE1VfPn0VvI3VdLa7N27vinDwknK9GKz7aFo6yKee2/j3uEvoG1s5YFZ2QyePI1BE6fgCtRwPNJhyp3jkJx8Jlu3PkdYeAV3VL9Hafo32NLYwnXrc3hl3KBu2zeonb9/czlkfNvV45ZlsXjxYj755BMAxo8fz/nnn4/D4cDnc7Mr52/s3v0YAFFRJzFq5F8JCIhju7WIP67cxtq6tvtoXZkYxe8GpxDZzU1zOXH89jdnWdZm4Gifhk4GdliWtat92peAi4F+H0L+xhYcjC04GDSChfgpZU73M8YQEhJCSEjIIV8vLCwkPT29m6sS6T7KncMbnx7FJ5sHsDDum8woex7euAm+8zGEHd94pZZl8dn2cv7y0VbWFbQNWTEuNYLfXjiKupy1ZGdeBKufgy+/gLq2ez34ItNpmXodsUNP5i/YyGl2s7UJtjQbClqdlLjtlLihtBVqiKTGArztj73c7Y+vGSDW6SAxwEm8y8GAoACGhQTSuG0zV06fRqzLb3fTpRdT7nScMYa7pt6Fy+7i+c3Pc9+X97G6dDV3TryThJ//jLAzZ1F89920bN/Bnrt+Q/njTxB93beJOP98hkxMYHB2PLs3VLD6ozyKtlezbVkJ25aVEBLhIn10DGnDozG2YCaedz4TL7iU8rxcNn2+gJxVyynP382uVcvZtWp5WzFOG1VhborDGqgMd5MSEszUYTP41sQbSK3wUf/aQna9fxctW7furd8WE0PARVfRNP4M8modLFlSRdnLX4DVhOWrx/LVExxWR2BoHTUVOeSuqGLnl579tkFoTCwDRmcxePI0BozNwunS1WJy7JQ7xyclJYWPPhrH6DHzaRkwh6cyb+HynRUsq2nguvU5/Hd0BqGOrjsJx7Isaj/MpW5BwUHNZbfbzXvvvcfq1asBmDVrFtOnT8cYQ0PDDjZt/nn7TYxtZGbeTsaA71Hc6uX3m3bzGmFQ10RygJM/D0vjjJgTf+NT6V7Gsg597oS/MMYsAO481GUUxpgrgHMsy/pu+8/XAlMsy7r1ENPeDNwMkJCQkP3SSy8dcbn19fWE+sEN4lSH/9XhDzX0tjpmzpy50rKsid1U0nE5UZnT/rpyp5fX4Q81qI7O1aHc6d25U1jn49eLmwi1e/g86ndE1u+gMSiZteN+R0tg3BHmdGiWZbG50seb21vZXt029EREgGH2UCcnJdmJrNtOXN47JFctxe5ru5S8PmQAeelXUBY3Hct29AM3rwU1GJoxtGDaR/0xeAAn4MTC1f41CIsILByHONb219+J6lDunIhjLOhdv9OvLK9fzouVL+K23ASaQM6OOJtTw07FhYPAlSsJeeddHKWlAFgOBy1jx9KcnU3rsKFYoaG01llU74bqHAv3AbeUCIiAwEgIjDQEREBAOJS25rA9dykNBfmEVfgIbT78B04utwenFzAOsLnwBYbjc4Xi8RksrwfL8gIesJqxfA0c8OnX/vMKiyA0KYWwlDTCktNwhUV06/AXvfFvo6drUO70ntw5nhq+/HIJQ4e9TUREKTbfSRTYb+L/EUoNNjLx8DMaiDQd6+0dUx0WxG0yROTbsIxFyRiL+uS25TQ1NbFx40bq6+ux2WwMHz6c+Ph4LMuLxYdY1luAB4jCZm6mmaG8RwBvE0gLBodlcYFp4RKaCezBUXZ6+99GT9RxuNzp0VMjjDGfAIc6FeXXVttf41FncYjnDvmvyrKsx4HHASZOnGjNmDHjiDNesGABR5umO6gO/6vDH2pQHZ3TnZkDyp2+UIc/1KA6/LeOjlDudMyh6nh3z5cs2VXBvzL+zi/Lf0Fw8Xqmrf0ZnPsnGDO7bZiKo2j1+Ji7vognP89lfWHbGcuRwU7+79RBXD+kiaDt78LGOVC2+es3DTodJv8foUPPZmQPjCvqz78T1dHzdXSEPx9jgf9sy2OpYwYzuLzmcv68/M98Xvg5b1W/xfyG+ZyXeR6X3nApw2+/jYaPP6H6jTdpWLyYwFWrCFy1CoCA4cMJnjSJgMGDcU4cQF1AIntKLQq2VFGwrYqWGmipgZrd+27iDKJsCYSZOmwhjYQEeHG0VONtKcVt1eKlGa9pxmc10ep00Lp3uOZW8JZD0+HvexMQEkJoVAyh0TFEJaUQl55BXnklZ118Ca6g4E5tyxOlN/5t9OUajoVy5+iOp4aWlhbWrCkje8JcfPYvOGfM9ZwcPIqr1u5kVzP8ITCOx0YNYEL4oa8M7UwdlsdH5StbacovB4eN2G8NJ21EDADbt2/njTfeoKmpicjISL7xjW+QlJREff1WNm/+BbV16wBISppNYsYv+F9JM//OL6PK0/YB1/lxEZxdls+VM3t++NPe/rfhT3X0aIPZsqxZxzmLAiBtn59TgaLjnKeI9FHKHBHpbsqdzvv1+SO49NHF/HtFDQmzHuGG4Hsxuz5tGy5j6b9h8k0w8mJw7j8OqGVZbNpTy9trinhjdSFl7WMsZwQ189PhFZwZvB3XhrtgwdeXkhMUTV7saaRf8huIOfyNTEV6A+VO18iMyORfs/7F4sLFPLrmUdaVr+PlrS/z8taXiQyIZEL8BLJuP4kB3zuThM+3EbBqM+41G2jZsoWWLVv2m1egzZAR6CTWZacyIoUmZwIeVzKtgcm0BMTjcYbhJAgnbfnmsYEnCNp/xN7+sCwfWA24Ar2ERNoICbcTFG4IDDFEJYYTHheK0xWAw+XCFRREaHQMzoDAg9atcsGCHm8uS++m3OlaI0aMYMmSJRTmTCR18Jds2vRTJma/yrvZQ/jWul2sq2viwlXb+UlGIj9KT8BhO74PyH2Nbsqf3UxrTg0mwE7sdSMJyIzE4/Hw6aefsnjxYgCGDBnCZZddhsPRzNat91BQ+DzgIyAgibhBf+TdpiE8sSKf6vbG8pSIEH42MJHpUWEsWLD7eDeL+JnePrjbcmCIMWYgUAhcBXyzZ0sSkT5MmSMi3a3f5s7olAjuvnAUd83ZwO8+KeKTzJ/zmylnMXzdA5jCFfDmCnj7h1jJ42mKG0e+O5wttS42ljRRV1dLMM38n6lkTGgZo1zFhDYWwD4nKhMYCSMugJGXwsBT2fX5F6SruSwC/Th3OmJ6ynSmp0xnW9U23tj+Bh/v/pjSxlLm589nfv78tomigDPAeZrF0EIbQwohudIiqdIiuQLCmi2cja1ENUJU9Q5gx/4LcTohNQNf4kB8scnYE5JwDsjANSAdW3g4TpedwBAngSFOXMEObMfZTBLxA8qdI0hNTSXCHkJO0SAGZrbi9qxizdobmZj9Gm+PH8Ifd+3h3wVlPJBTzAdlNfxmUDKnRId1alme8ibKn96Ip7wJW5iL2OtH4UoJpaSkhDfeeIOSkhKMMcyYMYPp06exp/hldu36Gx5PNRg7VbG38bE5j/e2NOC2igGYGhHCnQMTmR4Z2q3D7kj38tsGszHmUuARIA6Ya4xZY1nW2caYZOA/lmWdZ1mWxxhzK/AhbR/iPmlZ1sYeLFtEeilljoh0N+XO0V0zdQCxoQH89NW1fLGrknN3DSDU9le+HbqCi70fMcS7A1v+UoLzlzIMGEbbHYFw7jMTT/vDHgBpk2HAdMg4GdKngt15iKWK9F3KnRNnaNRQfjH5F/x80s8pqC9gRfEKNlduZk/DHvbU76G0sRSP00POIC87M30EO4OJDowmOjCaWGcUgwNS8ObUc9bIU0gMScIRHIwJCMAWGIgtNBRjs/X0KoqcEMqd42ez2ZiYOJp5hUvZsH4aE0/2UFe3jlWrv0XWuP9w75B0To8J5/Yteayrb2L22p2cFhXGTzISmBQR0uGmbvPOaiqf34yv0YMzKYSY60dhQh0sXryY+fPn4/V6iYqK4pJLLsTpXMmyZWfT1JxHMUmsC7qeL82pbC23gHpswDmx4dyUGsf0qM41u6V38dsGs2VZbwJvHuL5IuC8fX5+D3ivG0sTkT5ImSMi3U250zHnjE5kWmYMzy3dzTtri9heani0djqPMp1wGphg2854VwGZIS0MCm4mPsQQHRWDLSAUQmIgdmjbI2ogOFw9vToiPUq5c+IZY0gLSyMtLI1LufSY3rvAvYDMCTO6pjARP6HcOTFGDx7BkoI1lNbU4vXeQkjIQzQ0bGP5issZM+ZRTouexOIpI/hPQRmP7C5hYVUdC6vqGBIcwLeSYrg0IYqEgEN/sG75LOo+K6D2w1ywIHB4NNFXD6egpJC5L8ylpKQEgAkTRjNuXDM5BTexsSWITUxhpe2n5FrJ0AxgEeN0cE1yDNcmx5AaqP2u/sRvG8wiIiIiIgARwU5+MHMwP5g5mKZWL4XVjXh8bff+SQq/lIhgnYksIiIifVfwwCimfTyUea71zJ+3nJtueoyionuoqPyMVauuJjX1WgZl/pgfDUjgmuQY/p1fxgt7Ktje2MI9O4u4Z2cRQ4MDybSCqC+tZlBwABlBAQS0eKl8dRvNmysBCDs9DTMlmnc+eJfVq1fjttmxpYcTNtzJ+62beWjnQHbwB9wmoK0wC8LsNs6OjeCi+EhOiw4jQFdg9EtqMIuIiIhIrxHksjM4XpdaioiISP/hSgsj05lEjreUXZTw4otzuP76vxAa9l/y8p6goOB/lJZ+QHra9SQnf4NfZiZxZ0Yi8ypqeWFPBYuq6tnW2Mw2AvhgYy4ABkhosQiL8hEwLYTg6ADqW0spX5hLizMK98ln0WhvvwFoS3sh7aNtDA8JYFpkGKdHh3GqmsqCGswiIiIiIiIiIiJ+y9htBI2I5uQ1w2kI81BSVcGzz77AN75xPZMmXsCWrXdRW7uGHTsfYFfOw8TFnUVM9CnMjJ7OOXGZtPp8rKxt5LnVG6iKjGVnRQMFxkdxgKE4wN62EI8bbC4I+3poC4flJtEUkxkAo6LSmRQ7gCkRocS41E6U/ekvQkRERERERERExI+FnpJK45oyzqofwwdxGykrL+Pf//43s2bNYsKEF6itW0J+/tNUVi6ipORtSkreBsDpjCYoMJXQwBSuaqghqMSO1+OhJqCK4lBotrvxOey0EIAPGyE0EGrzkRqdRWb8qSTGzsDh0NVjcmRqMIuIiIiIiIiIiPgxV0ooQaNiYGMFF9umsGz0btZtWM8HH3zA559/TnZ2NpmZ9zJokJvq6kVUVi6munopbnclbncltXXrIBha20e9sAMp7fP2+YIJCxtLQvxUwiPGExkxCbs9oKdWVXohNZhFRERERERERET8XORlQ2jJq8OX38R0BjHknEEsXvMlxcXFLFy4kIULF2Kz2QgODiYoIAtP00g8ngpMQBUBgQ0Ym2/vvMLDkkhPz2Ls2BlERCRhjOnBNZPeTg1mERERERERERERP2cPcRL33dGUP70Rd34dUQVw+ZDpFI+qY1ddIXkVhVQ0VFNfX099fX37u5yY1nicVhTOYBcTJmYzbNgwIiIienRdpG9Rg1lERERERERERKQXcCaEEP+DLGo/2k3DyhJatlUTBWSTSDaJePHRTCvNDi/Bg6KIHJ1E1LhkHC4HCxYsYPLkyT29CtIHqcEsIiIiIiIiIiLSS9hDXURdNoTwWem07Kqhtageq9WHsRnsUYG4UkJwpoRhC7D3dKnST6jBLCIiIiIiIiIi0svYwwMIzoonOCu+p0uRfs7W0wWIiIiIiIiIiIiISO+kBrOIiIiIiIiIiIiIdIoazCIiIiIiIiIiIiLSKWowi4iIiIiIiIiIiEinqMEsIiIiIiIiIiIiIp2iBrOIiIiIiIiIiIiIdIoazCIiIiIiIiIiIiLSKWowi4iIiIiIiIiIiEinqMEsIiIiIiIiIiIiIp2iBrOIiIiIiIiIiIiIdIoazCIiIiIiIiIiIiLSKWowi4iIiIiIiIiIiEinqMEsIiIiIiIiIiIiIp2iBrOIiIiIiIiIiIiIdIoazCIiIiIiIiIiIiLSKX7bYDbGzDbGbDTG+IwxE48wXa4xZr0xZo0xZkV31igifYcyR0S6m3JHRLqbckdEuptyR6R/cPR0AUewAbgM+HcHpp1pWVZ5F9cjIn2bMkdEuptyR0S6m3JHRLqbckekH/DbBrNlWZsBjDE9XYqI9APKHBHpbsodEeluyh0R6W7KHZH+wViW1dM1HJExZgFwp2VZh7xEwhiTA1QBFvBvy7IeP8x0NwM3AyQkJGS/9NJLR1xufX09oaGhx1H5iaE6/K8Of6iht9Uxc+bMlZZlHfZyKH9yojKnfVrlTi+vwx9qUB2dq0O5o9zpjTWojt5dR3/MnWPNHOhdv9P+UIPq8M86OlqDcqf35I4/1KA6/LMOf6jhWOo4bO5YltVjD+AT2i6XOPBx8T7TLAAmHmEeye1f44G1wKlHW252drZ1NJ9++ulRp+kOqmN//lCHP9RgWb2rDmCF1YNZ89WjpzLHUu50ij/U4Q81WJbqOJByR7nTV2uwLNVxoN5UR3/PnY5kTke3ZXfwhzr8oQbLUh0H8oc6OlqDcqf35I4/1GBZquNA/lCHP9RgWcefOz06RIZlWbNOwDyK2r+WGmPeBCYDnx3vfEWk71HmiEh3U+6ISHdT7ohId1PuiIitpws4HsaYEGNM2FffA2fR9imZiMgJp8wRke6m3BGR7qbcEZHuptwR6f38tsFsjLnUGFMATAPmGmM+bH8+2RjzXvtkCcDnxpi1wDJgrmVZH/RMxSLSmylzRKS7KXdEpLspd0Skuyl3RPqHHh0i40gsy3oTePMQzxcB57V/vwsY182liUgfpMwRke6m3BGR7qbcEZHuptwR6R/89gxmEREREREREREREfFvajCLiIiIiIiIiIiISKeowSwiIiIiIiIiIiIinWIsy+rpGrqdMaYM2H2UyWKB8m4o52hUx/78oQ5/qAF6Vx0DLMuK645i/JVyp1P8oQ5/qAFUx4GUOx2g3OmVNYDqOFBvqqNf504HMwd61++0P9QAquNA/lBHR2tQ7vSe3PGHGkB1HMgf6vCHGuA4c6dfNpg7whizwrKsiapDdfhjDaqjb/KXbak6/KsG1eG/dfQF/rIt/aEOf6hBdaiO/sBftqU/1OEPNagO/6zDH2roS/xhe/pDDarDP+vwhxpORB0aIkNEREREREREREREOkUNZhERERERERERERHpFDWYD+/xni6gnerYnz/U4Q81gOroi/xlW6qOr/lDDaA6DuQvdfQF/rIt/aEOf6gBVMeBVEff4y/b0h/q8IcaQHUcyB/q8Ica+hJ/2J7+UAOojgP5Qx3+UAMcZx0ag1lEREREREREREREOkVnMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogZzO2PMbGPMRmOMzxgz8QjT5Rpj1htj1hhjVvRgHecYY7YaY3YYY37RBXVEG2M+NsZsb/8adZjpTvj2ONq6mTYPt7++zhgz4UQstxN1zDDG1LSv+xpjzG+7oIYnjTGlxpgNh3m9u7bF0ero8m3RFyl3Dpq/cke5cyx1KHc6Qbmz37x7LHPa56vc+XoZyp0+zB9yxx8yp33+/T53/CFz2pfT47mjzOk6yp395q/cUe4cSw2d3xaWZenRNg71CGAYsACYeITpcoHYnqwDsAM7gUzABawFRp7gOh4AftH+/S+AP3XH9ujIugHnAe8DBpgKLO2C30NH6pgBvNvFf5enAhOADYd5vcu3RQfr6PJt0Rcfyp2DlqHcUe4cSx3Knc5tV+XO1/Pvkczp6Lopd7p3W3SwDuVO57Zrj+eOP2RO+zL6de74S+a0L6fHc0eZ06W/X+XO18tQ7ih3jqWGTm8LncHczrKszZZlbe0ldUwGdliWtcuyrFbgJeDiE1zKxcAz7d8/A1xygud/OB1Zt4uB/1ltvgQijTFJPVBHl7Ms6zOg8giTdMe26Egd0gnKnYMod5Q7x1KHdIJyZz89lTmg3NmPcqdv84fc8ZPMAeWOX2QO+EfuKHO6jnJnP8od5c6x1NBpajAfOwv4yBiz0hhzcw/VkALk7/NzQftzJ1KCZVl7ANq/xh9muhO9PTqybt2x/h1dxjRjzFpjzPvGmFEnuIaO6I5t0VE9vS36MuXO/pQ7yp2v9PS26Mv6Q+70VOaAcudYKXf6h57Onb68rwP+kTu9JXPAf3LHH7ZFX6bc+Zpyp+f/rfXq3HF0ZUX+xhjzCZB4iJd+bVnWWx2czXTLsoqMMfHAx8aYLe2fAHRnHeYQz1nHUsPR6jiG2Rz39jiwrEM8d+C6nZD1PwF1rAIGWJZVb4w5D5gDDDnBdRxNd2yLjvCHbeGXlDsdr+MYZqPcUe6Af2wLv6Tc6VgNxzCbE505oNw5VsodP+cPueMPmXO0Oo5hNn01d3pL5oB/5I6/bAu/pNzpWB3HMBvlTs//W+vVudOvGsyWZc06AfMoav9aaox5k7bT7Y/pH90JqKMASNvn51Sg6FhncqQ6jDElxpgky7L2tJ+SX3qYeRz39jhAR9bthKz/8dZhWVbtPt+/Z4x51BgTa1lW+Qmu5Ui6Y1sclZ9sC7+k3Ol4Hcod5c6x8JNt4ZeUOx2roQczB5Q7x0q54+f8IXf8IXOOVodyp9dkDvhB7vjRtvBLyp2O1aHcUe4ci+PZFhoi4xgYY0KMMWFffQ+cBRzyzotdbDkwxBgz0BjjAq4C3j7By3gbuK79++uAgz5966Lt0ZF1exv4tmkzFaj56pKPE+iodRhjEo0xpv37ybT9e6o4wXUcTXdsi6Pyk23RJyl39qfc8Yt/a8qdPq4f5U5PZQ4od46VcqeP85Pc6cv7OuAfudNbMgf8IHf8aFv0Scqdryl3/ObfWu/OHauL75LYWx7ApbR9WtAClAAftj+fDLzX/n0mbXecXAtspO2yh26vo/3n84BttN0NsyvqiAHmAdvbv0Z31/Y41LoB3wO+1/69Af7Z/vp6jnBX2C6u49b29V4LfAmc1AU1vAjsAdztfxff6aFtcbQ6unxb9MWHcuegOpQ7yp1jqUO507ntqtz5et49ljmHWzfljnKnLz78IXf8IXPa59/vc8cfMqd9OT2eO8qcrnsod/arQ7mj3DmWGjq9LUz7DEREREREREREREREjomGyBARERERERERERGRTlGDWUREREREREREREQ6RQ1mEREREREREREREekUNZhFREREREREREREpFPUYBYRERERERERERGRTlGDWUREREREREREREQ6RQ1mEREREREREREREekUNZjFLxlj5htjrEM85vZ0bSLSNyl3RKS7KXdEpLspd0Skuyl3+gdjWVZP1yByEGNMFfBn4MkDXmq0LKu2B0oSkT5OuSMi3U25IyLdTbkjIt1NudM/OHq6AJEDGWMGAZHAQsuyinu4HBHpB5Q7ItLdlDsi0t2UOyLS3ZQ7/YeGyBB/lA14gdU9XYiI9BvKHRHpbsodEeluyh0R6W7KnX5CDWbxR9mAHSg1xtTv83i1pwsTkT5LuSMi3U25IyLdTbkjIt1NudNPaAxm8TvGmE+AauAXB7xUY1lWWfdXJCJ9nXJHRLqbckdEuptyR0S6m3Kn/9AZzOKPxgOLLcvaccCjDMAYs9gYM7X9+8eNMXf2aLUi0hcod0Skuyl3RKS7KXdEpLspd/oJ3eRP/IoxZiAQzZHH57kX+FX7J2FOy7Ie7JbiRKRPUu6ISHdT7ohId1PuiEh3U+70LxoiQ/yKMeYK4FVgBG2XUeyr3LIsT/t0y4BG4CzLslq7tUgR6VOUOyLS3ZQ7ItLdlDsi0t2UO/2LzmAWf5Pd/nXzAc9btH3yVW2MmQDEAhsUPiJyAih3RKS7KXdEpLspd0Skuyl3+hGdwSy9ijEmGXgPuAx4GbjJsqw1PVqUiPRpyh0R6W7KHRHpbsodEeluyp2+RTf5k17DGBNE2+UVt1mWtQv4A/Cbnq1KRPoy5Y6IdDfljoh0N+WOiHQ35U7fozOYRURERERERERERKRTdAaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGswiIiIiIiIiIiIi0ilqMIuIiIiIiIiIiIhIp6jBLCIiIiIiIiIiIiKdogaziIiIiIiIiIiIiHSKGsxyQhlj7jHGWPs8Tu7pmg7FGPPBvnX2dD0i0nnKHRHpbsodEeluyh0R6W7KHTkWajBLV7kDuBbY+tUTxpihxpjfGWO+NMaUGWPqjDFrjDG/NsaEHO8CjTE2Y8wdxpgtxphmY0y+MeYvh5n3A+31LTre5YqI3+iJ3PmlMeZVY8yu9h2a3CNMrtwR6Xu6NXc6MW/ljkjf0925M8wY87wxZrMxpsYY09h+vPVXY0zSId6i3BHpe7r9OGtfxphgY0xO+/HWPw4xiXLHDzh6ugDps+ZYlpV7wHM3Aj8A3gaeB9zATOD/AVcaY6ZaltV0HMt8CPgR8CbwF2BE+8/jjTGzLMvyfTWhZVnzAYwxs4BTjmOZIuI/eiJ3/gBUAquAyCNNqNwR6ZO6O3eOad7KHZE+qbtzJxVIou0YqwDwAGOAm4GrjDFZlmWVfjWxckekT+qJ46x9/Q6IPdyLyh3/oAazdKfXgD9allWzz3OPGWO2A78GvgMc6tOoozLGjAJ+CLxhWdbl+zyfAzwMXAW80NnCRaTX6rLcaTfIsqxdAMaYDUDoccxLRPqGrsydrs40EemduiwbLMuaB8w78HljzGfAK8D1tJ09KCL9S7fskxhjJgC3Az+j7URC8VMaIkO6jWVZKw4In6+83P519HHM/mrAAH874PkngEbgmuOYt4j0Ul2cO3zVXBYR+UpX5k5XZ5qI9E49lA27279GdcG8RcTPdUfuGGPstPV0PgDeON75SdfSGcziD1Lbv5YcxzwmAT5g2b5PWpbVbIxZ0/66iMhXTkTuiIgci67MHWWaiBzKCcsGY0wgbVdqBQIjgT+1v/Te8c5bRPqUE7lPcgcwHLj8aBNKz9MZzNKj2j+R+i1tY3kdzxAWyUC5ZVkth3itEIg1xriOY/4i0kecwNwREemQrswdZZqIHEoXZMN3gTIgH/iQtntPXGNZlm6qJSLAic0dY8xA4F7gd4cY/1n8kM5glp72N2Aq8CvLsrYeZdojCQYO1VwGaN5nmtbjWIaI9A1/48TkjohIR/2Nrsudrpy3iPRef+PEZsMcYAttZzGPBy4C4k7AfEWk7/gbJy53/gXkAH893qKke6jBLD3GGHMfcCvwuGVZfzzO2TUC8Yd5LXCfaUSkHzvBuSMiclRdmTvKNBE5lK7IBsuyCoCC9h/nGGNeB5YbY4KUPyJyInPHGHMNcBZwqmVZ7hNRn3Q9DZEhPcIYcw9wF/AU8L0TMMsi2obBCDjEaym0DZ+hs5dF+rEuyB0RkSPqytxRponIoXRXNliWtQ5YDXy/q5YhIr3Dicyd9p7OX2kb373YGDPYGDMYGNA+SUT7c5HHsxw58dRglm5njLkbuBv4H/Bdy7KsEzDb5bT9PU8+YFmBQBaw4gQsQ0R6qS7KHRGRw+rK3FGmicih9EA2BAHRXbwMEfFjXZA7QbQNv3M+sH2fx4L2169p//m7x7kcOcE0RIZ0K2PMb4F7gGeBGyzL8p2gWb8M/Aq4Hdj3RhM30Tb28vMnaDki0st0Ye6IiBxSV+aOMk1EDqWrssEYk2hZVvEhnp8JjObrpo+I9DNdlDsNwOxDPB8HPAp8APwXWHcCliUnkBrM0m2MMT+g7S6gecAnwDeNMftOUmJZ1sf7TH89bZdY3GtZ1j1HmrdlWeuNMf8EbjXGvEHb5RQjgB8BC9Fd1UX6pa7Mnfbpr+Xry7XiAJcx5q72n3dblvXs8a6DiPQuXZk7xzpvEekfunh/51/GmCRgPrCbtvvbZANXAXXAT07MWohIb9JVudM+5vJrh1heRvu3Oy3LOuh16XlqMEt3mtT+NR145hCvLwT2PSgKa/9a2MH53w7kAjfTdjlFOfAI8Fud3SPSb3V17nwHOO2A5+7bZ95qMIv0P12ZO8c6bxHpH7oyd14ErgOupe3DdIu2RvO/gT9blpXXmYJFpNfr6uMs6WXUYJauEmWMqQeqLcvyAFiWdT1w/THMYyawA3i6IxNbluUF/tL+OCJjTDjgAg51U0AR6Z16IndmdHTGyh2RPqlbc+dY563cEemTujt3XgFe6eiMlTsifVK3H2cdyLKsXMAc6jXljn9Qg1m6yqr2r6cAnx/rm40xDuB04Dvtl0icaK8AZ3fBfEWk5yh3RKS7KXdEpLspd0Skuyl35KiMbjotJ5IxJhPI3Oep5ZZl1fRUPYdjjMkCYr/62bKsT3quGhE5HsodEeluyh0R6W7KHRHpbsodORZqMIuIiIiIiIiIiIhIp9h6ugARERERERERERER6Z365RjMsbGxVkZGxhGnaWhoICQkpHsKUh29qg5/qKG31bFy5cpyy7Liuqkkv6Tc6Z11+EMNqqNzdSh3lDu9sQbV0bvr6O+505HMgd71O+0PNagO/6yjozUod3pP7vhDDarDP+vwhxqOpY7D5o5lWf3ukZ2dbR3Np59+etRpuoPq2J8/1OEPNVhW76oDWGH5wb/9nnwod46dP9ThDzVYluo4kHJHudNXa7As1XGg3lRHf8+djmSOZfWu32l/qMGyVMeB/KGOjtag3Ok9ueMPNViW6jiQP9ThDzVY1vHnjobIEBEREREREREREZFOUYNZRERERERERERERDpFDWYRERERERERERER6ZR+eZO/Q3G73RQUFNDc3AxAREQEmzdv7uGqur6OwMBAUlNTcTqdXbYMERER8Q/9cX9H+zoiPefAzAHljoiISF/k1w1mY8yTwAVAqWVZow/x+gzgLSCn/ak3LMv6XWeWVVBQQFhYGBkZGRhjqKurIywsrJOVnzhdWYdlWVRUVFBQUMDAgQO7ZBkivU135o6ICGh/B7puf0f7OiKH1l25c2DmQNce3xwL5Y5I99Exlkjf5+9DZDwNnHOUaRZZlpXV/uh0ADU3NxMTE7N3x6c/MMYQExOz3xkFItJ9uSMi0u5ptL/TJbSvI3JYT9MNudPfMgeUOyKH8TQ6xhLp0/y6wWxZ1mdAZXctrz/t+HylP66zyJF0d+6IiGh/p2v1t/UV6YjuzJ3++G+wP66zyJHoGEuk7zOWZfV0DUdkjMkA3j3CZRSvAwVAEXCnZVkbDzOfm4GbARISErJfeuml/V6PiIhg8ODBe3/2er3Y7fYTsg7Hozvq2LFjBzU1NUecpr6+ntDQ0C6toyP8oQ5/qKG31TFz5syVlmVN7KaSjlt35c6BetPvtL/U4Q81qI7O1aHc0f7OvrSvozq6o47+mDvHmjmg3NlXb/r7Vh3+WUNvyp2eOsaC3vU7VR39rw5/qOFY6jhs7liW5dcPIAPYcJjXwoHQ9u/PA7Z3ZJ7Z2dnWgTZt2rTfz7W1tQdN0xO6o44D1/1QPv300y6voyP8oQ5/qMGyelcdwArLD/Kko4/uyp3ObMvuoDr8qwbLUh0HUu5of+dYaV/n2KmO/Sl3jp47Hckcy1Lu7Ks3/X13B9Vx7DX0ptzpqWOsY9meXckfarAs1XEgf6jDH2qwrOPPHb8eIuNoLMuqtSyrvv379wCnMSa2h8vqlNzcXIKCgsjKytr7XHV1Nddeey3Dhw9nxIgRLFmypEPzWr58OXa7nddeew2ApqYmsrKycLlclJeXd0X5Iv1GX8odEekd+lLuHGp/56GHHmLy5MmMHj2aq6+++qjjllqWxY9+9CMGDx7M2LFjWbVqFaD9HZETqa/kzuEyZ9SoUUyZMqVDmfMVHWOJdJ2+kjki/VmvbjAbYxJN+wBXxpjJtK1PRc9W1XmDBg1izZo1e3++7bbbmDVrFlu2bGHt2rWMGDHiqPPwer38/Oc/5+yzz977XFBQEGvWrCE5ObkryhbpV/pa7oiI/+trubPv/k5hYSEPP/wwCxcuZMOGDXi9Xo52qev777/P9u3b2b59O48//ji33HILoP0dkROpL+XOoTJnxYoVLF26tEOZAzrGEulqfSlzRPorR08XcCTGmBeBGUCsMaYAuBtwAliW9RhwBXCLMcYDNAFXtZ+ufVwyfjH3eGdxSLn3n9/haWtra/nss8945JFHAHC5XLhcrqO+75FHHuHyyy9n+fLlna5TpD/rqdwRkf6rp3Jn3vxBxzuLQzrj9J3HNL3H46GpqQmPx0NjY+NRmzVvvfUW3/72tzHGMHXqVKqrq9mzZw9JSUnHU7ZIv9ITuTPmmTHHVfPhrL9u/TFN/1XmGGM6lDmgYyyR46VjLJG+z68bzJZlXX2U1/8B/KObyulWu3btIi4ujltuuYVNmzaRnZ3N3//+d0JCQg77nsLCQt58803mz5+vnR+RTurPuSMiPaM/505KSgp33nkno0aNIigoiLPOOouzzjrriO8pLCwkLS1t78+pqakUFhaqwSxyDPpr7nyVOenp6QQGBnL22Wd3KHN0jCVyfPpr5oj0J37dYO4pufefT11dHWFhYT1Wg8fjYdWqVdx///2cfvrp3Hbbbdx///3cd999h33P7bffzp/+9Ce/uCuziIiI+LczTt/Z4/s7VVVVvPXWW6xfv57U1FRmz57Nc889xzXXXHPY9xzqhKb2q2pFxI99daZxT+bOV5mTk5OD3W7nxhtvPGrm6BhLRETk6Hr1GMx9WWpqKqmpqUyaNAmAK664Yu9NbA5nxYoVXHXVVWRkZPDaa6/x/e9/nzlz5nRDtSIiIiLH7pNPPmHgwIHExsbidDq57LLL+OKLL474ntTUVPLz8/f+XFBQoDFQRaRDvsqcuLi4DmeOjrFERESOTmcw+6nExETS0tLYvn07EyZMYN68eYwcORKAf/yj7cqRW2+9db/35OTk7P3++uuv54ILLuCSSy7ptppFREREjkV6ejpffvkljY2NhIaGMm/ePCZOnAgcfn/noosu4h//+AdXXXUVS5cuJSIiQsNjiEiH7Js5lmV1KHP66jFWS6Obwm3VVJc0Ur7LYltIMSlDowiJCOjp0kREpBdSg9mPPfLII9x44414PB4yMzN56qmnANiyZQvTp0/v4epEREREjs+UKVO44oorOOWUU3C5XIwfP56bb74ZOPz+znnnncd7773H4MGDCQ4O3rt/1J95vS00Ne3GGDsuVxxOZ3hPlyTil77KnAkTJmCz2cjOzj5q5vQ1teVNLJ+bw9alJVi+r4cc+njtJgAGjIlhykWZxKX13PBJIiLS+6jB7MeysrJYuHDhQWOU5ebm8te//vWI73366ae7sDIRERGRE+Pee+/lzjvv7PD+jjGGf/7zn91Vnt/yeOopLnmbPUWvUlu3AfDtfS08fDzJSVeQnDwbYzRurMi+7r33Xu69996DxoLuD8dYm7/Yw8IXtuL1+DA2Q9LgCOIHhFNQkE+IPZrC7dXsXl/B7g0VTDovg0nnD8TYNMa9iIgcnRrMfsJut1NTU0NWVhZr1qw54rTvvvvuMc27qamJadOm4Xa7sdk07LaIiIj0DO3vHD/LsigpeYftO35Pa2t5+7M2goIyMMbQ3FxEbe1qamtXU7TnVUaNfJDg4IE9WrNIT1HmtLEsi8Wv7mDt/Hx83ioiY/MJCKqkbEcu+esa8Hm9BASHEJ0yAJ83horiJJa9a1FeUM/Z3x2N3enf6yciIj1PDWY/kZaWtt8Na06koKCgo+5QiYiIiHQ17e8cH4+njg0b72RjxUbWMZEC5yQaA4ZRQyRhDgexLgdD4uxkmQ0EFf2B2to1rFh5JRPGP0do6LCeLl+k2ylz2ix5cyerPlyEt3kpPk8hpbUHT9NUW0Nh7bq9P9sccexYlo0xFmffNAabXU1mERE5PDWYRQ6hpqWGTRWbaHQ3YjM2hkUPIzlUd6gXERGRnlFZv5u/r3mSd1ovpMjc0vakp/1BS/vjK8kkuP7FpcHzmNL4b1atvobJk94iMFD7MiL9zZdvrWLpG0/jc+8CwBkQyNBpJzMwK5v4jExCoqJZtGgRk8ZnUZqzi/yN69j8+QKa6srweT5g82drwHcV535/Vs+uiIiI+DU1mEXaVTdX89bOt5izYw47qncc9HpGeAb/N+7/CLaCe6A6ERER6Y88PovHcrbyt7xy6rkUDEQ6DKdFR3BSZCipgS5iXQ4aPD5KW90sq2lgXkUtu5tbeYwZvGrL5mb3XwnZ9BMmjH9OYzKL9CMr5s5j8Yv/BKsVhyuQk2Zfzbgzz8UVtP/xjN3pIjw2nvDYeAZPmsqp19zA5s8X8tlzT9NUV8ymhQ9jd5Ry5k1XY4zGZBaRjvM1e2jZUY27pBFPeROeqmbwWaTU2ijbtg57dCDOuCCcSaEEDIzAaEieXksNZun3Gt2NPLn+v8xd/DQhtS2ENVtMw0lEaia2xHiqgy3Wl60ntzaXXy76JcMDhzPFPYUQZ0hPly4iIiJ92KqaBn6yZRebG73gDiatupApgckEthj2bC3mfZ8FgNNuIz06mIGxIZyfFM7dE5NYUFPPn3OK2VAP95vfcGH1m/wi70kyB9zUw2slIl3NsiwWvfgcy996GYCo5DF84+6fERIZ1aH32x1ORs+YxdApJzHnwX+Rv+FT1s97geb6As7/0R3YHc6uLF9Eejlfq5fGVSU0rS+nJacW2vdX9hWEoaW6BnbV7H3OOG0EDIkieFwsQaNjMRqap1dRg1n6LW91NStfeJjcD99gUl4LZzTt+2oLsBnYjCszk5DTL2NldjgPlD7PluYtfPfD7/LkOU8S5AjqmeJFRESkz7Isi3/ll/H7jflQ2EhweR1WtY8yDO9SdNT3hwY4OG1YHD8dl8z6mHD+uruYt83lVOd8zv+SKgl0RXfDWohIT7Asi4XP/peVc+cAhvCEM7j2T7fidB37ob8rKJjZd/2Yl3+XQOGm19i+9DPe/VsrF9z+czWZReQg3vpW6hcXUf/lHqwmT9uTNnANDMeVFo4zNgh7TCDGYWP1qlVkjR7XdlZzWRMtuTW4ixpo3lRB86YK7JG5hJ6cQsjkRGwuXX3VG+jjAD+Rm5tLUFAQWVlZe5+rrq7m2muvZfjw4YwYMYIlS5YccR4LFiwgIiKCrKwssrKy+N3vfge03eE4KysLl8tFeXn5EefRHzSuXs3uW3/AlunTCXv4RcZsbSG8CayocIKysgg59RRCTzuNgBEjsAUH07prF1X/+S+ZP/g7/1mVTWZTJBsqNvDn5X/u6VURERHpVQ61v/PQQw8xefJkRo8ezdVXX01zc/MR57FlyxamTZtGQEAADz744N7n+8r+TqMFl8/fyB9fX4/js2KcO2rxVVs47DamZkbznZMHct8lo3n6hkm8cNMUXrhpCk9eP5HfXjCSa6amMzwxjPoWD3PX7eH/nl3Jh3O28UNHGAFWK59ZJ3Pz6iX4rIPPJBLpiw6XOaNGjWLKlCkdypzedIy1f3PZhjP0Qi6648ZONZe/Yozhgh/NJjjmajAB7Fj+Je889Ce8Hs8Jq1tEejfLZ1G/pIjiB1dQ92k+VpMHV3oYUd8YRvJdU4n/v3FEnjeQkMmJBA6KJGBAOM1REDgkitBpyUReNIiEH00g8ZeTibxoEI64ILzVLdS8u4uSv6ykaWNFT6+idIDOYPYjgwYN2u9OxLfddhuzZs1izpw5tLa20tjYeNR5nHLKKbz77rv7PffVHY4zMjJOcMW9S+Pq1ZT/4580LF7c9oSBdZk2Qs49h1mX3EZAatpBY4pZbjeNK1dS8+671Lw5B89b73NfSDAPXGrnVV5l1oBZnJR8Ug+sjYj0Fs0NbkpyaqkubaSmtIm6ymZ8Xh+WzwJjCI0MIDw2kMiEEFKGRRIU6urpkkW61L77O4WFhTz88MMsXbqU+Ph4rrzySl566SWuv/76w74/Ojqahx9+mDlz5uz3fF/Y31mSV8XtK9y0VuzGDhjjY1LSZq499XxmjhxGqMOChnKwfGA3YHeAK7Tt6z7yKxt5f8Menlqcy/bSerbP3cqgBBc7BwXyESk8lJPPTzLTe2YlRbrZoTJn06ZNeDwevvOd7xw1c6D3HGOtfv/ttuayseMMvoAxM08hYWD4cc83NCqAqZdO4/OXfbgbXmfnii/59OnHmfXd7x9/0SLSq7lLGqh8dRvugnoAAoZGEX56Go60UPbs2cPaNcspLy+nurqampoaGhoaAPB4PCxdupTQ0FAiIyOJiIggISGBAYMHED9lAi1bq6idl4e7sJ6KZzcROCKaqMuGYA/TsZK/UoP5UO6JIKxL5ltz9Gna1dbW8tlnn/HII48A4HK5cLn0D6kzPFVVlD7wZ2refBOA5gDD3GxYd0oyd1/4d0bFjjrse43TScjUqYRMnUrMd75DyX330fDFEn71guGxcwz/jPsn05Km6WYXIrKXZVmU5taxa00ZBVsqKc2rg46eLGggfkA4mVmxjDo5hcBQXX4qXSfx0zVdMt/imVnHNL3H46GpqQmPx0NjYyPJyclHnD4+Pp74+Hjmzp17HFX6l5pGN3e9s4F3VrcNfxHkaOXahLc4P+RzRgSOwrXkTfioGJoqD36zsUPUAIgeBLFDIWM6aRmncPOpg7j+pIHMWVPIXz/axq6SZhxlzXgHWTxo+ZgQEcnMmONvPIl01ObhI7pkviO2bD6m6b/KHGNMhzKnt9i9bg0Lnv0vAM7gcwgMG8rUSzJP2PzHnp7KxkUZVBVdiqfxVdZ+/B5xAwYy7sxzT9gyRKR3aVxTStXr27HcPuzhLoLOTSOHEjZ+/g67d+/G7XYf8f1f5XFZWdl+zwcFBTFw4EBGnzGalMpY6j/Op3lzJSUPrybmW8MJyIjoytWSTlKD2U/t2rWLuLg4brnlFjZt2kR2djZ///vfCQk58o3llixZwrhx40hOTubBBx9k1KjDN0/7OsuyqH3nHUr+8Ee81dVYLidzJ9t4faKHwelZPHb6w0QHdnwMwoCBA0l74glW/vjHhHz4Ef/3vsVfgtawfPxyJidN7sI1EZHeoKmulS1fFrNlyR4qixr2Pm+zGxIGhhOdFEJEfDDhMYHYnTZsNoPPZ1Ff2UxteTNl+XUU7aimNLeW0txaVryXy4iTksk+Z0APrpVI10pJSeHOO+9k1KhRBAUFcdZZZ3HWWWf1dFnd6rNtZfzk1bW01FVyiX01F4SsZIZnOY4KH1QALPh6YmOD4FiwOcDbCl43tNRC5a62x46P4ct/tjWdUyfhGn0ZV479BueMPpU/vreFF5fl4dheh6nz8H17LotPGkm0U4cD0n98lTnp6ekEBgZy9tlndyhz/P0Yq7aslHf/dj+Wz0dUymk0NQ5j7OmpJ/SqKLvdxqTzMvjk6SZCYs+lruQd5j/1GLHpGaQM65oPD0TEP1k+i5q5u6hf3PbBeO1wO5tD8tk892M8+wyfExMTw4ABA0hMTCQyMpLIyEhCQkIwxrB48WKmTZtGXV0d1dXVVFdXU1RURG5uLnV1dWzatIlNmzYRFBTEqKwRDC2KITi/lbLH1xN5QSahJ/WNDwf7Eu1RHso9NdTV1REW1iXnMXeIx+Nh1apV3H///Zx++uncdttt3H///dx3332Hfc+ECRPYvXs3oaGhvPfee1xyySVs3769G6v2H76GBvbcey+1b78DgHfCKH41NZeciBbOHHAWfzj5DwQ6Ao95vsZup/7SSxkwZCjl//gHt73lY96o/zH5m2owi/RXDdUtrP4oj42LCnG3NGB5K3AENBKd6MMV2IQr0MIYqC/30VhlpzYyirDoGEKjY4jLyGTA6JS9V0G4W7wUbKlkw8JC8jZVsn5BAVu/3EPMaAvrVAtj09UScuIUz8zq8f2dqqoq3nrrLdavX09qaiqzZ8/mueee45prrumxmrpLi8fLH+ZuZuWXn/JLxwdcEPglLjzQ2vZ6Y3gYQYMvxaRMhKSxEJ4KwdFgO+BGN+5mqMqFih1QsgF2fgoFyyH/y7bHx3cTPvpy/jj9+5wxfDy3Pv8lzcXQsKSE30SE8s+sE3eGo8iRfHWmcU/mzleZk5OTg91u58Ybbzxq5vj7MZbl8/HBow/R3FBPyvDxlBdPICDITtasEz8MzpBJCax4fzfVJUMYOH4WOas/4YN//pVrH3gYV6Bufi7SH1heH5Uvb6VpXTkljhrWJxSTm1uw9/UBAwYwduxYhg4desSsdzqdhIaGEhoaSlJS0tfztyyqqqrYsmULa9asobS0lBVrV7HSGIanDGR0UQK8vRNvfSvhZw7Q1eR+RA1mP5WamkpqaiqTJk0C4IorruD+++8/4nvCw7++zPG8887j+9//PuXl5cTGxnZprf6meetWCm+7ndbcXExQEM0/vIabXS/S5G3h/Mzz+X/T/x8O2/H96cf+4PtU7t6G652PGPPYp7RcWk9AUOgJWgMR6Q2a6918/tpaNi/6Am9rIT5PEZavCoDWemjs4L0ogsIjSB46ggFjsxg27RQGjotj4Lg4KgrrWTJnJ7vXV7BnBbxdv4azbxpNYIiGzZC+45NPPmHgwIHExsbidDq57LLL+OKLL/p8g7mstpn//PdRzq96iXsDtgLgxUZj8mjyg3KoSIhk/CkfYYJSjz4zZyDED297jLgAZvwCmmtgxyew8hnIWQhrnoM1zzMr65s8ekYod3yWRU11BO+8t4MrkqKZmRDZtSss4ie+ypy4uDjq6uo6lDn+foy1+oN3yN+0nuCISMITzqeipJHRp6V0yf6CzW5jwtkDmP+/zbS6JxObvoPyvFw+e+4pjccs0g9Ybh8VL2ymfHMRSwK2sduUQUXbkK6TJk0iOzub6OivrxK3LB8tLcW0tJTS2lpKS0sZXl/bvcV81k52523HYQ8jICAeV0A8Aa4EXK5YoqOjOemkk5g2bRrFxcUsW7aMtWvXsrliF1sCchjmTWbSfDdWq4+I8weqyewn1GD2U4mJiaSlpbF9+3YmTJjAvHnzGDlyJAD/+Mc/ALj11lv3e09xcTEJCQkYY1i2bBk+n4+YmJhur70n1c2fT+FP7sRqaiJgyBBa7/0Rt2z5DU3uZi7MvJD7pt+H/cAzfzrBGMOQ393P4i8+JbXUzaYH72X8b/58AtZARPxdbVkpi156n+3L2hrL+7I7ncQNGEhEXAJhsXGEx8bhCgrG2GwYY/B6PDRUVVJXWUFdeSnFO7fTWFPNzhVf7r1hTsbY8YyacSZDpkzj/O+PZcfKUuY9u5GCLVW8/sBKLrh1LBFxwT209iInVnp6Ol9++SWNjY2EhoYyb948Jk6cCBx+f6e327VmIbVv/YJfWpvABjW2EN5Ku5jTz/o+ubnfo6UliCFDfkpQR5rLhxMYAaMvb3uU74Bl/4YVT8Ga55lpd/FicghXFf2Z2tpgfvDcKlb+8FSCXDoskL5v38yxLKtDmePPx1hVxUUseuEZAE65+v9Y9GoTxmYYfVrH8sPtdZNTm8OKhhWsW7WOPQ17qG6ppqalhuqWarw+L067E4dx4LQ7iQmMITkohZjAqVQUNjPmssuofPph1n78HkOmnMSAMVlduLYi0pMsr0XZsxtZtXMdKwJ34cGLy+ViypQpTJs2jeDgYFpayigufpvauvXU1a6nrn4TXm/DYee5Y8fBzzmdUYSFjSYsbDTh4WOIizuJiy++mFNPPZVFixaxZs0atlDIblsZ076oZIxlEXXhoC5cc+ko7Un6sUceeYQbb7wRj8dDZmYmTz31FABbtmxh+vTpB03/2muv8a9//QuHw0FQUBAvvfRSv/okp/J/z1Lyxz+CZRFx8UX4fnoz351/E/Xues4ccOYJay5/xRYUxJbvzeLk37+P65X3cd98J86EhBM2fxHxH5ZlkbdhLUvnvEX+hhV8ddc+YxykjhzH4OxskgYOJTYlHRt2LMvCFuDABNiPOKyFZVnUlBRTsGUj25cuJnftKnLWrCRnzUqik1OZesXVDJt2MrklhopVwVQUNvDan1Zy6Y8nEJ185DH5RXqDKVOmcMUVV3DKKafgcrkYP348N998M3D4/Z3i4mImTpxIbW0tNpuNv/3tb2zatGm/swz9Ul0JZa//mMzcdwGoNmH8Jf1a5gy4mFenjKOx6K+0tBQDA0hL/faJW27sYDjvzzD1Fph3H2bjG4wsamV+8A/5hvV7dpYlct0LK3n5usn9ar9R+qevMmfChAnYbDays7OPmjn+fIy14Jkn8LhbGXHKTBrqUvD5chk0IY6w6EMPBdjqbWVN6RqW7FnCkqIlbK3cisdqHy+1vOPLnRRTT3bh2cxZsJraYfWM2BTIG4/9iUvu+z0DozXsjkhfY1kWea+s4d3cTylz1gIwcuRIzjnnHGy2PZSUPkV5+Xxqa9cc9F6nM4bAwMS2s5MD4nDY2678zs/PJy0tDbenhpaWElpby2huLsLtrqKychGVlYuAtuOtqMgpxMaezplnnsnUqVN55513yM/PZ75rA7uWlXBB2HnEzhjYbdtDDk0NZj+WlZXFwoULDxq3Jjc3l7/+9a8HTX/rrbf2ubN8OsLy+Si5/36q/vcsAHG3/QjHDVdz7fvXUtZUxqTESfzxlD+e0ObyVwaccg5Lhn/AtC1eKp74D4l3/fqEL0NEeo7l87F+/keseOcNKosKCHNGkxE6mpjgoSQmpRMZEomv1o1vkRvvojJK2P8OyBiwBTmwhThxxAXjTAjGGR+MMzkER3wwxhgiE5OITExi9IxZNNbWsPWLz1jx7hwqiwp47+E/s+zNV4iddDKX3TmbD57YQP6mSt55ZA2X/yyb0KhjH0texN/ce++93HnnnR3e30lMTKSgoOCg5/2WZcH6V3G/eydxrTU0W04+jLqcnw2/hpqAMP47OoM09rC04H+AwWauw5gTv89CdCbMfgomfYfWl2cT29jI+/Zf8CvHDby25TSe+SKX66fr4Ez6vnvvvZd77733oLGge9sxVs6alexatRxXUBCnfPMGXv/TJgDGzNj/7GW3z83iwsW8vfNtPi/8nCZP097XDIb0sHQiPZFMHTKV1NBUogKjiAyIJDIgEofNgdvnxuPz0OptpaypjKL6IvZklGO9ZDGwaizPjX+VlFw74eV1/Pzha/BNSObMAWdyXuZ5pIWldes2EZGuse71Jby3ZT4tNg9hIaGcd8GZRERsZ+u266mtXbt3OpstgKioqUSETyAsfDThYaNxuQ49nFBh4QKGDJmx33OWZdHcXERd3Qbq6tZTXbOS6uoVVFYtprJqMdu230d09ClccOE3yds9mo8/nEcuZfxv/itc5riYjJOHd+VmkKNQg9lP2O12ampqyMrKYs2aNUec9t133z2meTc1NTFt2jTcbjc2m+04qvQ/ls9H8d13U/3qaxink6Q//IGQ88/he598j9zaXIZGDeXvM/9OgD2gS5Y/Nm4sfzvZxrQtXqpfeYWYm2/CGR/fJcsSke5j+Xxs/WIRea/OodEbx9ig6UQNSMJl2ydLasFT2zaGGAaM04Zx2MBuwxjwNXuxWr34Gj34Gj14yppo3vT1wMy2MCeBg6MIGBxJ4PBo7CFOgsMjGH/OhYyddS6bPpvPl2+8THn+bsoL8gh1N3HWjVcx99HNFO+q4Z1H1nL5T7NxBem/cuk9+t3+Tn0ZvHs7bHkXJ7DQO5aFw+/ipfRkajxebhuQwPlxkaxd93Msy0Ny0pWUlAzo2poyTqb48l/h/Og+kkpbeNDxbwayh/839xtkpUeRlRbZtcsX6UZ9NXO8HjefPvMEAFMvv5qqYouGmlbC44JIHhIJwK6aXbyy9RXe2/UeVS1Ve987JGoIU5OmMi1pGtkJ2QQ7g1mwYAEzxs/oeAEj4J11a8nbWMGf05+gMHkBRc9+yPjtkbyevJ1/VG3ln2v+yenpp/Ptkd9mfPx4vznrW0Q6zrIs5r32AZ9vWAoGBqfEkn1yNaVl11O0p+1MZocjnLi4s4iLnUV09HTs9s4P5WeMISgohaCgFOLjzwbA7a6ivGIh5WWfUF4xb+/ZzQEBiVx6+Ww+nRtAaX0dz378Cuf7zmXCqZNOyLrLsdNRqZ9IS0sjPz+/S+YdFBR01B2q3sjyetnz67uomTMHExBA6qP/JHT6dP607E8s3bOUmMAY/j7jEeoaHeworqLZ7aPF46XZ7cPt9RHsshMa4CA00EF4oJPEiECc9mPbOUwITqA8KZjlQ+qZtL2V2rffJua73+2iNRaRrmZZFgULVlPw/hqivHGcETF7/9eDHARlRuBKDcURHYQ9MgBHVAC2UNchh8KwvD58TR68dW48pY24SxrwlDTSkleHr66VxtWlNK4uBbshcHg0IRMTCBwajd3hYMzpZzH85NNY8uoLLH/nDVa88wY5q1dw7q2/ZN4zbiqLGvjs5W3Mun5kd20ekePWr/Z38pfDK9dC3R7qrSB+57mG4MnXs21AEJVVdZwcGcrPBiZSWfkF5eWfYLcHk5n5Y0pKNnZ5aZEJM1k+/G80xCaQubmQHzjeJt1bys9edPL2HbMIdHbBGdQiPaCvZs7GhfOoKiogKimZCedeyPz/bQNg+NRE1pev58kNTzI/bz5W+5BegyIGceGgCzk/83wSQxIPOU9fczO+pqa2RrDdjrHZwOnE5nIdcvrh0xLJ21hByepmrvrFrbyxrozctau43XMZG0Y08WHuh8zLm8e8vHmMjhnNreNvZXrKwUOQiIh/8vl8vPP6W6zeuBa7vZVpY6pwRL9B0Z62MZXDw8aSkvItEhLOx24POuQ8mrw+yt0eKlo9VLjbHh5fWy5tsVwUFVUQYDPEuBzEOB3Etn917fOhndMZRVLiJSQlXoLbXUXRntcpLHyBpqbdFO15hNFTYqnOncTqXVG8PX8uTbQw/dSTu34DyUHUYJZeyfJ6KfrFL6l95x1MUBAJ//gnO9NH8PyH/+H94ufAstNY8C1Ou38N3vYAOxq7zZAWFcTA2BAy40IZnx7JlIExxIUd/uxnYwwZ4RnMH7eRSdstqt+cQ/R3vqNP6EV6GW9dK9Vf7KZqUQ6BniDSbEPABs0+NyVugychlPHfGkZQYhCtra20tLTgARwO8Dq82N2tOJ3Og85gMnYb9lAX9lAXrqQQIA5oa2R7Shtp3l5N89ZKWnZU07yxguaNFdjCnISdnErItCScrgBO/dYN1DkDKV2ykIqCPF7//c+ZecOP+ewlG1u/LGbA6BiGTNT47yJ+w7L4/+ydd3hUVfrHP3f6THrvIQUSIEBC74IidlFRVFTsa91Vd9fVre6quz+3uGvvvWMXUbAhvfcWCElI73UymcnUe39/3EnCMKGnwv08D0/CPfee+947yck573nf78vWt2DJQyC62CoN5VeOezhvyjgGjYnm5fwKQjVqnh2WjAooKPwnAIMG3YVeH9UrJgYGDEWl0lMSaSNw7usEfHUvl7KBAMv/8eJPCfzmwhG9YoeCgsKJ43G72PjlJwBMmXc9HrfAwe2yRNcbjv+xdskKAHQqHXMGz2FexjyGhQ/DXVuHc2cBjUXLcBYV4ywqwl1Xh8dsJrqxkTyXq8v7qQIC0ERGoo6KRBMZhS45GX1mBvFpQ9AZ1dSWWGiqtjHt2hsp3rmNhvW7eOT6N/jt2N+yMG8hn+R9wp6GPdz1011MS5jGg+MeJD1UKciloNCfcbvdfP7Z5+zbv5eEuHzS0vaA2obHAxERM0lNvY+Q4OyO8yVJ4oDNwbYWK3lWO3lWOwesdiocXY8rMibI898AVAEpRj2ZAQYyAgwMDTAwLiSAJIMOrTaMQcm3k5x0Kw2Nqzh48Gkslt0EJCxlamQo+wqy+fHnn7A52jj33HMVv0wvoziYFQYckiRR9fjfaVm8GLfewGsX3ceSb5sQtZ9gSnkJQQX26suwNMcDElFBemKDDZh0avRaNXqNCq1aoM3podXhxmJ3Y25zUd1ip7jBRnGDjeV5nTqqaVEBTE6L4OJRcUxM9a8YnRSUxLK0XNyhgVBYiH33boyjRvXiG1FQUDhZXNVWWlaUYdtZiyAJqNBSLFVSrmum2iFgUznQxYh4BDsr3lyCJB15w0oQBAIDAwkODiYkJISQkBCio6OJi4sjKioKtVrtc642JgBtTABB0xLwtDiwbqvFtrUGd10b5qVFWFaVE3RWAgGT4gmIjuO6f/yXb5/5N0U7tvLdC39n5KybydsczMoP80jICMMU3HWEkYKCQi/iccO3v4Ft7wCwULiQv9jnc2F2MtfNSuP8LXKU4b8zk4g36Kir+wGLZS86XRTJSbf2mpkqlYbAwGG0tOxAlxDL/814k9+tvINz2IFj/W84kPNxr9mioKBwYuxduYyWulrCE5LImDyNresKcLtEqoIOstaygkBtINdkXM21+qno9xRi+/wtCrZuxV1VdcQ+BUDQalGZTPJcx+NBEkUklwvRasVptUJJid91EcMWUBUziV3PL2L8nMGkjRnPwW2b2bz4C2bccCu/Gv0rbh95Ox/t/4jXdr3Gmoo1rK9cz/yh87lvzH0YNV1HPSooKPQdLpeLjz76iOrqrYzO2UhgsOwbCQ2dSHrabwgNHQdAaZuDFY0W1ja3sq65lTqn268vrSAQ5Y1KjtBqiNBp0HmzPquqqoiLi6PNI9LgclPvjXKud7o52ObgYJuDpfXmjr6SDTqmhgUyJTSQs8ODiYyYSUT4DOrrf6Tw4FNYOcDwrJXU1yWzebMNh8PBxRdfrDiZexHFwawwYLC7PGytslN/671krV+OW6Vi7cShDBd+Yoy6hXeSyqlXuTnPFcbvYwowptVgCA5HYwwDYygERMoFbsLTQB/UZf+ljTYO1lk5UGNhc3EjW4qbOFhn5WCdlQ82lhITrCcn3ENMZgvD4uRq9RHGCDxqgcYpQ4lesgXL8uWKg1lBoZ/jKG3BsqKcutxyytUN1KjNVNNAq9olr7IAvPJhTnvndWq1Gp1Oh16vRxAE3G53xz+Xy4XFYsFisVBRUeFzP7VaTUxMDMnJyQwZMoRBgwah0XT+CVYH6wmemUTQjEQcB5poWVaKs9SCeWkxrWsrCUgHvSmAyx9+hJXvvcm2JYvY9dObxGVcS2NNLJsWH2Tm9UpRCwWFPsXVBp/dCnlLkDQG/qm+i1fME5g2OJL/XDWKa3YfpE2UuComjDnRoUiSyMGiZwBIGXT3EdNLe4qgoCxaWnZgsexh6tCruab5v3yx/X4uVG1k5bu3I42/t1ftUVBQODYet7sjenn8FfN4ZderFH5nJ5VsysL38DvNxZxdYMD+2mKaql71uVYVFIQ+IwN9Wiq6lFR0qalo42JRh4aydtcuZpx3np8jRpIkRIsFd3097rp63LW1OA4W4jiQjyMvj6iabVTFTKKk2EXMTTcRHxLEwZRoti9ZxNhZFxAYF49RY+TWEbdyWfplvLTzJT498Cnv73ufNRVreGL6E4yIVDImFBT6Cx6Ph88//wSP5wtGj9mDSiWhU0cxdPhjREbOpsrh4uOyWhbVNrOtvRaNl2idhokhgQwPNJAZIP8bZNCj6UJGEGBF9UFmDk32O+4QRQptjo5I6L2tbWw0t1Jqd1Ja1chHVY2oBZgWGsRlMaFcFHkOEyfMorziQwoP/JvIqFJCw6ooOljBzz8bmDXr3B55Vwr+9GsHsyAIbwKXALWSJPn95RHkv4DPABcBNuBmSZK29a6VCj1GWzNiyQYq9q6lsWQ3AeZ8bjzQTP32YBAkUqbUMzJ+CRLwUFQE9doAMhxO/lG1C4O08+h9B0RD5BCIHw3JkyBpIobAaDJigsiICeKCEbI2mcsjsrvCzM/7avl6ZyWljTa+b4Hvn1nNjIwo7p6ZTpg+DICKrGiil4B1zVq4//4efjkKPYUy7pzeOKpb2fflZgoriihTNdBssPq0CwioXQHopSCyJqZhsTcydepUQkNDMRgMPk7hw/F4PFgsFsxmMy0tLTQ1NVFTU0NlZSVNTU1UVlZSWVnJhg0b0Gq1pKamkpmZSVZWFgaDQb6/IGDIDEefEYYjvxnzD8W4yluJ266m3pFL6Jx0Zt54Oxqdjk1ffUp1/sdoTJeRuwZGnZ1EeHxAj74/hZ5BGXdOA+xm+Gg+lKxFMoTyROhjvFocydDYIF5eMJbP65vZYLYSodXw+JAEAGrrvqe1dT96fSzx8df2uslBQVkAtLbu55zEYH4VMpT5Wf/ikz0PMqPtJ9bnxcA55/S6XQq9gzLuDEwKNq+npa6WgJgoHml4joMFxdzS8A8AHvjuAIaaIlq952qiojBNmIBp3FiMY8aiHzJY1lXuiry8LqP8BEFAHRyMOjgYfVqaX3tycwv7/ryF1qAkPMPGEbxvC1EtAdQFB7D8hmsZM2YSIXPmEDB1ChHGCP486c/MHTKXP67+I4XmQm5YcgN3Zt/JHSPvQK1StN9PZ5Qxp/8jSRLffvs+Ov3LREXXAhDlupTM6Y+xrFnkjR2FrG1u7TjfpFZxTngQ08KCmBoayGCTvluihfUqFcMDjQwP7Nx490gSe1rbWNfUyqomC6ubLKz0/ntYKOe8yGBuS7iCCZPOYe+yB2kJ2MSQjA3U1lazdq3A1KmzTtkuhWPTrx3MwNvA88C7R2i/EBji/TcReMn7dcBRXFzMsGHDyMzMZMeOHeTl5XHNNdcgiiIqlYqDBw/y2GOP8cADDxyxD0mSuP/++1myZAkmk4m3336bMWPGdFQ4zs3NpbKyksjIyN57sBPB0QqFP0PxGjzFa1HV7kWFRBKQBFgq9ZRvDwcg8rxIgqZNhsBoPvc08V3DeowqLU+OugPDxGgQVOCyygu+tmb5q6UaGguhsQistfK/krWw/nn5/mGpkH42DL0EUqaDRodWrWJMchhjksP47XkZ7Chr5rlvNrG+SmLlgTpWHqgjLa0R9HAw3cQYnQ77nj24m5rQhIX11ZtUODXe5gwZd84kqksq2PztWnJrCmgTnB1//QSPh0CVRPbE6ZRtFbBWqAgMNTLnvhzC4wNYsWIFiYmJx3UPtVpNaGgooaGhfm1tbW1UVVVx8OBB8vPzqamp4cCBAxw4cIClS5cyfPhwcnJySElJQaVSyY7mjDD0g0Oxbqii8dsC7LkN1BQ2Ez4vg2nX3ojb6WTbkkW4bYvBdC3rvyzg4nuz/Q1TGAi8zRky7hw+3wF46qmnePXVV1Gr1YwcOZK33nqrY9OlKz744AP+9a9/ARAYGMhLL71EdnZ23813bI3w7hyo3g1B8bw3+H+8ul4kxKjl1QXjaBMkHiuoBOCxwfGEaTVIkkRR0bMApKTci1p95HoPPUWASdZAtdmKMKlVnBsRzGJxFK+kPsqvi37PxJoPkfKvQBgyu9dtU+gV3uYMGHe6GnOeeeYZXnvtNTweD3feeedR11fQv9ZYW5csAmBl+AGi1zUz/0A2tbEGAi2lGGqK0CYnE3zebIJmz8YwcuSRHcrdhC40mJScaPK31OK6+x9k5hjwfPQ+36/7mZIQE2nfLKZl8WJ06elE3HIzwXPmMDxiOB9f+jHPbHuG93Lf48UdL5Jbn8s/z/pnj9qq0Oe8zRkw5gxkfv75ebS6lwjQORDsIYSV/po158/mti3llNmdAOhVAudGBHNZdBjnRgRjUvfsGNOOWhDIDjKRHWTi7uRomlxultSZWVTbxJqmVr6tM/NtnZkRgUZuHvoUI77/gIaM14mOLqax6UG2bn2UsWPn9IqtZzL92sEsSdIqQRBSjnLKZcC7kiyKuUEQhFBBEOIkSTqywFQ/Jj09vWPi0z4JslgsmEwmEhISuOKKK456/dKlS8nPzyc/P5+NGzdy9913s3Hjxo4KxykpKT3/ECeKtQEOLIV938jOZY8DADXglNTslNLJ0w4n1pREwuZvAAdR999H5N13A1DSUsK/F88D4JGpj5Gadsmx7yl6oKUC6vKgbBOUbYTyLdBUBFuKYMuboA+BjPNgxFUwZDao1AiCwOjkMG4crue/N03hnfXFvLOumNJ6CWMCrCir4ZrsHNybN2HbsoXg2cqCbCBypo07pzMul4sdO3awZfVGalrq5YMCBEhaxMYqBGsjUy+6hOxZV/D1MzuxVdsIizFx6X3ZBEd0b6q60WgkLS2NtLQ0zj33XFpaWsjPz2f37t0UFxeza9cudu3aRXh4OFOnTiU7OxuNRoOgEgicEs/2lgMMq4nCvq+Rhvf3EXhWAjOuvw27pYXc1ctx2RZTtDOIxsrBShTzAORMG3cOne9UVFTw7LPPsnHjRqKjo7n66qtZuHAhN9988xGvT01NZeXKlYSFhbF06VLuuOOOvpvv2M3w3hWyczliMGsnv8Yjn1UhCPDs/NEkR5j4ZW4JzW4PM8OCmBsjbz43NKzAaj2AXhdDfNyVvWfvIZhMqQBYbQeRJIlLo0NZXNfMsmHnYCy5hrvEj3F9civau1fK8mIKpxVn0rhz6JizZ88eXnvtNTZt2oTD4WDevHlcfPHFDBky5IjX95c1Vu6ejVQd2I8oeLjnmyYiWyX2Z2QCkBQnkfrF5+iHDet1vdHUnCjyt9RSsqee0eeNIeu+X7O1rJD6shJar55L+Mp1OAsLqfrzX6h9+hnCFywgfMENPDT+IaYlTON3K3/HivIVLFi6gOtN1/eq7Qq9x5k05gxENm76BxJvotOBszGL9eYH+WhoCJbiagBSjDpuS4jimrhwgjV9n20QptVwfXwE18dHUONw8U5lPe9UNLCntY0HW9uIyZrNzflZDI//OyZTFQ2ND5KX10Zm5jV9bfppTb92MB8HCcChZSfLvcf8BiFBEO4A7gCIiYlhxYoVPu0hISFYLBYApnwxpUeMXTd33RHbWltbEUWxw4Z2PB4PixcvJiUlhfDwcL/2Q/nss8+YN28era2tZGVl0djYSH5+PrGxstyDJEm0trai1/tGydjtdr/30ZV9xzrneBFENxENW4ir+oHwxu0IiB1t28QhrPBks1EcRmvwEGamBjBO30rUv/8NdgeWMaOpGToUVqzAI3l4uvpp2txtjDWNJbA0kBWlJ2KjFlRTYdBUhCQPga0HiWjYRGT9RgKtJbD7U9j9KXZ9FJXx51EdOxunPozW1lZ2bl5HjgaGTdHydomePUB5cysLW8K4Csj7dglWrbZb3teR6M7P5HSwoxfptnHncPrLuxzodjidTioqKqisqMTllisX6yQNyepI2urzMdfkodcbSDtvDm1BcSz853ocZnlfKWZyG9t2bzxlG46XlJQUYmJiqK6uprq6msbGRhYvXsz3339PUlIScXFxaDQaWt2t7EmGUFEg4oBA66oK6naXYxw1CuO+vbTV1+KyLWXp+3oSJvTcpG+g/2wMYHpkvjPyH6t6xNjdfzrriG2Hz3daW1txuVxYrVaamppoaWkhNDT0qPOdkSNHAmCxWMjKyqKsrMzn/K7mOz0x11F57GTv/BshLftoM8SyYtAf+N0i+SO5crAWqXIvr1eo+YwgtEhc3lTBypXyx+gR/w2A03UWq1atPyU7ThZ5DW/C42llxYqv0RCCihC2WW0MT7qSHw8WMJuttLx1DdvG/BOEvllQ9pff9/5iRy9yXOPOiYw57/5uc48YeuN/xh+x7fAxZ9u2bYwdOxaPx4MgCEyaNImFCxceNYq5P6yxDrbso+bzT9FhIr3GQmSrhDMhgfqk8eAB++QUNtTWQm3tMfs6FTu6wu2QQIDKgmaW/bgctVbAlJYJZSVsa6xh2F/+jGHLVkw//Qhl5dQ99RTVb75J65w5OCdP4v7I+3ml9hXym/L5T/N/sH1vI0mfdFK2dBf94fe9P9jQy/TYGgv6x/vsDzYcbockiTidH6DRrsAtaPjBfA/fBU6nMUIFkkQWLi7Cweg2N6rCWrYV9owdp8oEIEeCdehYgp5S4F9DYkmyPsMFls84K+hTysr/RGnpHrRaX7mM/vC59AcbusOOge5g7mp7VurqREmSXgVeBRg3bpw0c+ZMn/Z9+/YRFORf+K07OVr/gYGBqFQqv3MsFgtff/01N9xwwzHtq62tJSMjo+O85ORkzGZzx468IAgEBgb69WMwGBg9evRR+16xYgWHv7MTprEItr0LOz6A1hoAJJWWwqAJvNM4gqWu0dQLYVw8Mo4/Tk8jOykUyemkZMGNtDU1YczJoeaWW5h59tkAvLrrVYpLi4k2RfPMnGcI0Yecmn3MAn4hf9tQCLmLYNu7GJqKSCv6gLSSj2HEVWw0zGTizEMipYudPLgSIoLd7A+WU+nrD1QyZcJUQkw952Tuls/kNLKjF+m2cedw+su7HKh2WCwWVq1axfbt23G75SrGkWIQo9QpJI1NYsmX/8NubSUyMZnLH3oEQ2AEi57ejsPcSlisict/MwZTsO6UbDgVPB4Pubm5rF69mtraWgoLC6mpqeHcc89FkiRmni3b4Sg20/DBfoxNTobuDyf7t4/x/uO/xWkrojFvJ1fe8ysMgT0z9gzUn43TgNN2vpOZmcnvfvc7Ro4cidFo5LzzzuPyyy8/7nu98sorXHTRRT737Gq+0+1zHbcDPrwaWvZBcCL6m5fw4ZfVtLrqmT4kkn/fMgFBgP9uK4AWK3clx3Btunx/s3k7W7YeQKMJYuqUP6HR+L6v3vz53rxlCC0tO8kZHU9Y6HjGbs1nc4uV6eeP588v3sUI6WHiLAeYqd0N0x7oFZsOp7/8vvcXO3qR4xp3BtqYM378eP7+97/jdDpxu90sW7aMcePGHbWPvlxjiaLId6//mbQ3FmFOHoSogrSwCBIfeRz3sAms+dtG9AEaLrhiOqojFNI6Hk7157t5xxZqilpIixlJ6qhIXFMm88qWtdhqq8kakk7UrFlID/0O67p11D31NPY9ewh57z2iN25k/B9+zwUzvuTBFQ+yvmo9Lze+zKvnvUpWRNZJ23Oq9Iff9/5gQy/TY2ss6B/vsz/YcKgdouhg1+7f0NCwgt3iKN7kN9SGyuPYGKOBP2UmMDWs58bvnngf5wGPSBJf1zbzz7wKigPgNa7hR9d07tT8h2T1hyQmhpKe/puObI/+8Ln0Bxu6w46B7mAuR5bnbScRqDzVTnfftBuLxdLjk6Hjwel08vXXX/PEE08c81w5EsWX3k6R6pLq3bDmKdj7JUhytLIUkcGm8Et58MAwympMAFyQFcuvZ2eQGdv53mv+9W/adu5EExdH4vPPUbxnDwD7G/fz0o6XAHh86uPd4Fw+jIh0mP4bmPoAHFwuy2bkLYVdC5nAJ+BaA2f9DsJS2F23G4AW9rHgpodh87uElhdy0TOreP76MYxOVrSYTzN6ZNxROHkcDgfr1q1j3bp1uFxyxHKSJ5JR7mRSswbTnNLCopefwONykT5uEhf98jcIKj1f/W8b9WWthEQbuezXo/2cy71Nu/7siBEjOHDgACtXrqSyspKvvvqKoKAghgwZQmJiIvqUEGJ+mUPdG3tw19iQPqviwgX3seiVJ3C2rmbnsllMvEzRYj7N6JFxp/ifF/f5fKepqYlFixaxe/duEhMTmTdvHu+//z433HDDMa9dvnw5b7zxBmvWrOkFSw9BkuDr++DgCrlo8I2LeGefyOr8esJMWp6cl41KJbCotonNLVYitRruGxTTcXlJ6WsAJCRc7+dc7m0MhgRaWnbisMsBYtPDA9ncYmWj1caYpFB+X/IL3tH9C5b/AzIugOihfWqvQq/S7ePOvS/LRSP7ctwZNmwYDz/8MLNnz8ZoNHZIUh2Nvlpj2fbvY8vDd5GaV0tpeBCiSkVcfBLZ/3sRQRDYtbwcgORh4afkXO4OkoaHU1PUQlluI6mjItHq9AydchY7f1zK3hU/MfPG22VH/NSpBEyeTMu3S6h96n84Dhyg9JZbCZ13Fc/+9p/c+sMv2d22m1/88Atenf0qIyL9asEpnL4oa6xeRBQd7Np1F8WN23lfuo816hkApLZ6eFAdwNyZmf3Dl3QSqASBy2PCuCgyhNc/280LIR6K9fH8SXqSS/iKK0pfxyNayBjy1wH7jP2V3lHk7jm+Bm4UZCYB5tNNo+fHH39kzJgxxMTEHPPcxMREyso6s0rKy8uJj4/vSfOOTukG+OBqeHka7PlcLrw36lr2nv8xF7ie5JrdYylzmJiREcXiX07j5QVjfZzL5m+/pemDD0CrJfGZp9F4C2e4RTePrH0Et+Tm2sxrmRLfM5ImAKhUMHgWXPsB3LcdRi+Qj29/H54bC9/9EbXk6Tj9/FljwBRAqNOKua6Ra1/dwI+5NT1nn0JfcNqPOwMFURTZtGkTzz77LCtXrsTlcjFIFc1cx0Qu0Iwla/5kapKq+PqF/8PjcpE9+0Lm/PYPaHQGvn99D7UlFoIiDFz+69EEhPR+ga0jIQgCmZmZ3H777Vx++eUEBgZisVh4/fXXWbJkCU6nE3WInqg7R6FNDMTTaMe0XkPq4GmAi63fvN3lYlhhQHPajjs//fQTqampREZGotVqmTt3LuvWHVlSrJ1du3Zx++23s2jRIiIiInrB0kNY8z/YtRC0AXDDZ+R7Ynhi6X4Anpg7iphgA3aPyN8L5Y/o4bRYgrx6hW1tFdTV/YggaElKvKl37e4CvV5O8Xc4ZI3Fs7yRSqubWpmVrGG1lM0nnrPB44RF94IoHrEvhdOO03bcue2229i2bRvfffcd4eHhR9Vfht5fY4l2O5X/9w+K5l5JVF4tLSYoypI103OumNfhECnb1whA0vBeHgO7INlrQ7tNAFkzzwVg35oVeLyZZQCCSkXIpZeQvnQpUQ/cj6DV0vzpZ5RdfiV3105iVvIsLE4Ld/xwB3mNeb37IAp9yWk75vQ3JMnN7j338W2jmwd5ljWqGeiAew44+Gibkytmpp8WjledWsXt09P5fK2VeWVOJEHN18KV/J7/sax8EwWF/1TWTN1Mv3YwC4LwEbAeyBQEoVwQhNsEQbhLEIS7vKcsAQ4CBcBrwD19ZGqP8emnnzJ//nyfY88//zzPP/+837lz5szh3XffRZIkNmzYQEhICHFxcb1laid1ebJj+c3zIf970Bhh4t003b6Z+513cfEiD3m1rSSHm3jjpnG8c+sERib6RiA7Cgqo+ssjAMT84fcYR43qaHs39132Ne4jPiCeX4/9de89V9gguOx5Nk14EbLny9HYG14ge+M7AMxMnIkgCOiTZJmMmwZpcLhF7nxvCws3lfaenQqnhDLuDAyqq6s7HK5Wq5X4kBgucY9jtm0kMYlxxNw3mn1l6/juxaeQRJFJV17LrNvuQRBUrFx4gJLdDRgCtMy5L4fAMENfP06XqFQqcnJy+NWvfkVycjIqlYpNmzbx6quvUlFRgTpAS9QvRqJLDUG0OJkYNBO9OpS2lnx2/7yyr81XOAHO5HEnOTmZDRs2YLPZkCSJZcuWMWzYMODI853S0lLmzp3Le++9R0ZGRu8anPs1LHsMEGDuq4gxo/j9F7txukWuHpfIBSNkh+37VQ2U2Z0MDTBwXVyn86ei8kNAJDr6QvT66N61vQsMXgez3etgHh1sQicIHLDaMRlUzB4ew+Ou67HqIqFii1yfQuG04Ewed2q9OsVlZWV88cUXHWut/rDGatuzl8IrrsD87vsgSfw0Xof9+b9jbbGiMxoZMkEOrJFEiaqCZgASh/Z9tmR0ShAavZrmGhtWs1y0PTY9g4jEZGzmZop2bPW7RqXXE3nXXaR++QWGkSNxV1cT+fxLPLQ6nPPiz8HisnDvsnuptZ2crrRC/+JMHnP6E6LoxiG9zb/q03lO+C2tQjCj1CJflKq4tchJ+NR4VD0o89nb6OIDiRoaycO5Dj6wmUgQXdQIcfydx3mutIHCg8/0tYmnFf1aIkOSpPnHaJeAe3vJnF7HZrOxfPly3nzzTZ/j+/fvZ+rUqX7nX3TRRSxZsoTBgwdjMpl46623estUmdY6WPEEbH0bJA/oAmHS3TDxLr4vdvPHN3bTYHWi16i4Z+Zg7pyRhkHrXzBGbGuj/IEHkGw2gi+5hLBDHOy1rlpe3PEiAI9MfgST1tRbT9dBmykOLnoZJt4F3zyAu3k/BEehrdgGlhq0SYk48vK4I8OAelgaz/5cwO+/2I3F7uYXZylV2Ps7Z/q4099xuVysXLmStWvXIkkSQUFBTA/LIe6AFgGBwCnxhFyUyvYfFrPiXTkN/eybfsGYiy4DYMvSYnJXV6LWqrjonlGExvT+GHKi6PV60tLSuPDCC/niiy+oq6vjjTfeYObMmUybNo3Im4ZT98ouXFVWzhl0Iz8UvcTaj99jxNnTUan6vsqzwrE5k8ediRMnctVVVzF9+nR0Oh2jR4/mjjvuAI4833nsscdoaGjgnnvktadGo2HLli09b2z1bvjyTvn7c/8Kwy7hww0lbC1pIipIz58uHg6AzSPybImcvfRwaixqbxSQx2OnsvJjAJISb+x5e4+DwyOY9SoVWYFGtltsHETD3DGJfL+3hpc1N/Bb59Ow7FEYdino+v/YqXB0zuRx58orr6ShoQG1Ws0LL7xAWJjsoO3LNZbkdtPw+uvUPf88uD2UR8B7V4bzx5vfoOEneXzLmDQNrUHeFG+otOKwuQkM1xMU3vcb5Wq1iri0YMr2NVFVYGbw2GgEQSBrxixWffAW+1YvZ/C4iV1eqx88mJSPPqTx7bepeeppzB9+xL252bRdnsVq215+ueyXvH3B232y7lPoPs7kMae/IEkSP+z9F39hHmXCINSim8taavnv6Ck0LNmNoFcTOKUPM+B7iKCzk2jbXU/mhjqWP5DNTT+vYH1kIp9wA/tKdnCPsAKY2cdWnh706wjmMx2TyURJSQkhIb7RvcXFxVx55ZV+5wuCwAsvvEBhYSG7d+9m3LhxvWOo6IH1L8Kzo2HLG4AE426F+7Zjnvwwv/m2nDvf20qD1cmktHB+/PUM7j93SJfOZYDa//wHZ0EhurQ04h79W0d6hiRJLGxYiMPj4NK0S5ma4D8B7FXic+D2ZbhGyzqRGksVvDwVXZCcZuEqK+c352Xy+OWydtg/luzjk81lR+pNQUHhGFRUVPDSSy+xZs0aJEli/JhxXBt8NvEHdAgaNeHzMwmdk86u5d+x/B3ZuTz7jl92OJcLttaycdFBEOC8W7OIS+9m7fYeJi4ujjvuuINJkyYhiiI///wzn3zyCS7BQ+QtI1CH6QmWjEyOvgKbuYZ9q1f0tckKCsfFo48+ytatW9mzZw/vvfceer0sWXOk+c7rr79OU1MTO3bsYMeOHb3jXHZY4NObwWWTs5imPkBNi51/eaUxHp2TRYhRjvh5p6KeWqebUUFGLojsHGdqar/B5WoiKGgEwcE5PW/zcaDTRQHgdNZ1HBsdLDtxClEzMzOKYIOG5xvHYY8cCS0VsN4/wlNBYSCxevVqcnNzWbduHbNmzeo43ldrLHdDA6W33Erd08+A28OScQLP/DKRf9y+kKHhQzmwYS0AmVPO6rimMr8ZgPghod1qy6nQbkulN7IaIHPydACKtm/B5XQc8VpBoyHi9ttpfPC3aGJjcezYyf3PlTGjPpJ9jft4ePXDiJIi0aOgcCq8t+9T7qw7hzJhEGH2Zq7Zu5F/nTsd68oKAAInx51W0cvt6OIDMQwNR3KJSJvreH7KaC7avR6ju43dQg5/kM5iRemKvjbztEBxMPcT1Go1ZrOZnJycY577zTffoNMdfzGqtrY2cnJycLlcqFTd/JHX7IU3ZsP3fwCnBYacD3evh0ueYlOdhgueXsUX2yrQa1T89dLhfHj7JJIjjrz7bFm+nKYPPwKtloT/PokqIKCjbfHBxeQ78gk3hPPQ+Ie69zlOFpUa+6DJABgCosFah6b4KwDctXL00oJJg/jbpXJU0++/2KVoMisonCCiKLJ27VreeOMNGhsbiY6O5uZrbmTcwTikQiuqAC1Rd4zElB3NnuU/8tPrcpbDObfexahZFwDQUNHKsndyAZh65WDSRkf12fOcClqtlgsuuIDrr78evV7P/v37efPNN2nxWIm8dQSCQU2CKZXM4Ams/eQD3N6ihwoK/YUBOd+RJPjmN9BQANHD4eL/gSDw6OK9WBxuzh0WzYVeaQyr28PzpXI690OpcT4ahhXlHwCQmLig32gbarWhALhczR3HcrwO5gLU6DVqLh4Vj4SKz6O9gWVrngZrQ+8aqqBwkvT3MUdTUkLRVfOwbd5Ma7CWx69VsWROHC9d/CZJwUk0lJfSWFGGITCIpOEjO67rcDAPDj2p+/YEcV5b2m0DCI6KJjZ9CC6HneKd247Zhzs1ldTPP8M0cSJiQyP3vlnH7AMGVpSt4O29b/eI3QoKpzuSJPHffWt4uHowDsHIiJZ8rtiyhuunTsLQpsa+rxFBqyJwWkJfm9pjBJ0j149sXV9FXGQM84akcOXmlaS7KmgWwrmp0MhXZXv72MqBj+Jg7ickJSVRVlbGjh07ur1vo9HIjh07qKioIDw8vHs6dTvg53/AK2dBxVYIiof5C+H6T5CiMnl1VSHzX9tAldlOdlIoS+6fzi1TU49a4dhdX0/Vn/4MQPQDD2DwajACtDhb+O+W/wLw23G/JdQQ2j3PcZLsrd/LQfNBmu3NtDhbAAgaPhfO/hNqvby77tm+COxmAG6emsp95wxGlOCXH25jZ1lzX5muoDCgaG1t5cMPP+THH39EFEUmTpzILVfcgO7LOlzVNjRRRqLvyUafHEze+jV8/8qzAMxYcBujz78EALvVxZKXduF2imROiiV7VtLRbjkgGDJkCL/4xS+IiIigpqaG1157jRpHI+FXZwIwKnwGOouWA+tX97GlCgq+DLj5DsD292D3J6A1wby3QWdiXUE9S3ZXY9KpefSyER0O43cqG2hwuRkbbGJWeGfhYotlHy2WXWg0QcREX9J9tp0iWq0sDXCogzk7SHYwF3mV9C7LkdNlXy+Ng8GzwWWFjS/3rqEKCidJfx5zzIsXE/7kf3FXVVGdGsJvbhKpGBbJa+e/RlKwPFdpj14ePH4Sak2numV1YTPQ6dTtD8SkBKNSCzRUtOJs6yzqN2SinHWa732WY6GJiCD5jdcJv+km8Hi4/Qsr528ReW7bc+yq29UjtisonK54JImHcvfwn+pAJEHFVeJ2pm7fS0pMNKNHj6Z1fSUAptHRqAOPf4NtoKFPDkaXEozk8GDbXsvMmTOJ0ao5Z/1mprh34EDP3QUOXiku7mtTBzSKg1nhxKnPh9dmwap/g+iGcbfBvRsh80Ja7C7uen8r/7dkPx5R4s6z0vj8rsmkRwUetUtJkqj605/xNDZimjSJ8Ftu9ml/bttzNNobSdOncWnapT34cMfHM9ue4bKvLmP6x9N5autTAHxT9C23tO1j6dDRAHga6+HNC8BcDsCvZ2dw7fgkHG6Rez/chtmmRBYqKByNlpYWXn75ZQoKCjAajVx77bWcO+Ysmt7IRWxxoksNJvrubDQRRir257L0hf+CJDH16hsYd8kVAIiixA9v7KWl3k5UchAzr8vsN5GDp0pkZCS333476enp2Gw23n33XWoDWjHHBKASVEyOnsPupd/1tZkKCgObugOwxJs1dfH/ICoTjyjx2DdyRsS9Zw8mIdQIgEMUeaVMjl7+TUqsz1hTWfUJALExl6NW971eajtarSzh4XabOyqppxn1aASoR4XV42HcoDBCjFqK6q1UjvLWXNr0Cthb+spsBYUBjSRJ1D33PJW/ewjB5aJ4xmB+c1UrUkQor533GmkhnTVbDmyUnbIZEzulAVubHFjNTnRGDWH9qJaERqcmMjEQJKgttXQcb7e9cOvG486sEjQaYv7we6J/9yCCJHHbjyJXrHTw0MrfdQT3KCgoHB2nKHLr7gLeq/WgkVz8zriM6LWlCMDFF18MThHbVnnecjpqLx9O4GS5OGvr+ioMBgOzZ89GLcHYzSVcp12OhIq/FjXzeEFFx5xI4cRQHMwKJ8aOD+GVGVCzG8JS4ZalcMn/wBDMgRoLc55bw/d7awgyaHhlwVj+cNEwNOpj/5iZv1pE68qVqIKDif/nEwiHpJnlNuTyyYFPUAtqrgm/pl84h8bFdmqvSciDT6O9kS01W/hZ3wqAx2OC2lx4/Vyo3o0gCDx6WRajEkMob2rjwc92KgOXgsIR2Lt3Lzt27KC1tZXk5GTuuusu0oITqXt1F2KrC/3gUCJvGYHKpKWxsoKv/vM4HpeL7NkXMXHuNR39bP6miLLcRoxBWi68ayQa3elV9M5oNHLdddcxYsQInE4n77//PuYR0Oj2EKAJJq5lEFX5eX1tpoLCwET0wKJ7wN0Go66FHLk+0adbythfbSEh1Mht01I7Tv+8uokap5vhAQbOOSR62eNxUF29CID4+Kt79xmOgUqlQ60OQJI8uN2yQ0irEkgzyk7wApsDjVrFjAxZVmhpSyokT5EztLa8ecR+FRQUukYSRWr+/g/qX3gBVCq2XT6WhyYXIeh0PHfOc2SEZXSc21JfS31pMVqDkeSR2R3Ha0tkB2v0oCCEo2SH9gXRKcEA1BZ3OoFDY+OISk7B2dZGxb4TS0GPuO024v7xD1CpmLdW4qxvy3hi4xPdarOCwumIUxT5xd5ivm+wEiBZeMz4FoklMYiiRFxcHAkJCdi21yI5PehSg9HGBhy70wGOMSsSVaAWd40Nx0Ez2dnZJCUl4XJKXOwcxC9Vr6OW3LxQVsdjhZWKr+YkUBzMCseF2t0GX9wJX90tp0aOnAd3rYZBUwBYk1/PlS+uo7jBxrC4YL751TTOz4o9rr5dNbXUPCFPFGL++Ae0sZ3XSZLE/238P0RJ5Lph1xGv6x87a+NijlzcY+YwOfVVNCTAoGlgqYK3LobKHeg1al64bgxBBg0/5tbw5triXrJYQWFgIEkSK1eu5NNPP0UURUaPHs2NN96IsVVN3Wu7Ea1uDJlhRN6UhUqnxmZu5ot//hV7q4W0MeM555Y7Ozahyvc3smVpMYIA590+ol9UWe8J1Go1c+fO7dCBXLbhW9a66/FIImlBoziwaEVfm6igMDDZ8CKUb4agOLjwXwBY7C6e/OEAAA9fOLSjYLEoSbzojV6+NznaZzO8ru573G4zQUEjCAoa3ssPcWw0GtkZ7vG0dhzLCJALLeZb7QCcMzQagOX7a2H6b+WTNrwIHiUbS0HheJFcLiof/j1NH3yAoNVifuQO/jVsFwgCj019jNHRo33OL9q+FYBBI7NRazoLb9V4nbftztz+REwXDmaAlNHy2qlox4kXZQ29ci4JzzwNajVXrJdQf/A16yvXn7KtCgqnKx3O5foWAiQLfxKe4OzYG9i3rwCNRkNKSgqSJHXIYwRO7h8+lp5G0KgImChHMVs3VCEIArNnzwZg44b93Dz4Eu7jSdS4eUlxMp8UioNZ4dg0lTB6+8OwayFojDDneZj7GujlBcknm8u4+a1NWBxuLhwRyxd3T2FQxPHtgEmSRPWjjyK2tBAw4yxCLrvMp31p0VJ21u0kwhDBPdn3dPujnSwjIkegV+v9jutUOs7PkB3MktsDC76AYZeCwwzvXQ41e0kKN/HkPDkK4T/f76es0dabpiso9Fs8Hg9fffUVy5cvByA9PZ05c+YgNTmpf3MPUpsbw7BwIhYMR9CqcLtcfPXk3zHXVBOTNphL7n8YlVp29rRZnPz4Vi5IMO6iFBIzw/ry0XoclUrFnDlzGDduHB6Ph9qQfWx11gMQXRWLw2LtYwsVFAYY9QXw89/l7y99BoyhALy66iD1rQ7GJIdy6ai4jtO/rzdTYHOQoNcyJ9p3vKmq+hyA+Lj+Fb3cjkolb755PG0dxzIC5GN5XgfzjIwoVAJsLGrAljwDIjOhtQbylva+wQoKAxDJ6aT8vvtpWbwYlcmE5qlHeUD8CAmJu7Lv4pI0f2324p2ygzk1xzewpd15GzOo/zmYo7021RzmYE7NGQtwXIX+uiJ49mzi//UvJAGuXyGy7OmHsLvtp2asgsJpiEuUOp3LtPJHHuX8zJtYu/YgABMmTECv1+Mss+CubUMVqMWYFdHHVvcegRNiQYC23AZEm4vk5GTCw8NxOp3s3SNwRdII7pOeRI2Hl8rqeLywqq9NHlAoDuZ+QnFxMUajsaPCcV5eHjk5OUydOpWcnByCg4N5+umnj9rH/v37mTx5Mnq9nieffLLjeHuFY51OR319/YkZVroBXjuHQGsJRAyBO1bAmAUgCIiixH++389Dn+/C7dVbfuG6MRhPIAW9ZckSWn/+GVVgIHGPPuoT8dPmbuOpbbK+8X1j7iNQd3Qd595Ep9YxKmqU3/GL0i4iJDASkKMU0Ojhyjch40Joa4J35kBdHudnxXJpdjx2l8gji/YoO2MKZzxut5vPPvuMnTt3otVqmT9/PklJSYgWJ/Vv7EG0utBnhBFx/TAEjfyna8U7r1F1YD9BEVFc8fBf0Rpkh4gkSvz09j5sZidxg0MYd1FKHz5Z76FSqbj44osZNWoUkuBhT+B+qqkjSBtO+WcnHjGkoNATHD7fAXjqqaeYMGECI0aMYP78+djtR3caLFq0iFGjRpGTk8O4ceNYs2YNcIrznUMRRVh0L7jtkD0fMs4HoNHq5M01RQD88aJhPnOWV8rqALg7ORrtISnrDkcNjU3rEAQdMTH9p7jfoajVsoarR+x0MKcZ5U30ErsTgLAAHVnxIbg8EtvLzDD2ZvnErW/3pqkKCidMV2POM888w4gRI5gwYcIx11dw6mssyeOh4qGHaV2+HHVICLFvvMpDtvewuqyMNo3uMojG43ZRsnsnACle5yx49Zu9+sbRKUF+1/U1obEmtHo1rU0ObC3OjuPxGcPQGY00lJfSUl97Un2HXHIx0Y/8BYArvq5n0WsPd4vNCgqnC5Ik8fsDZXxf30Kg0MYfpb8xIWooLudECgoK0Ol0TJs2DQDbNvn30JQTjXAckqanC+oQPfrBoeCRsO2S526pqbLc2ebNm4mOuouZgVbuk/6DGpEXy2p5zTvHUzg2Z85P0gAgPT29o8JxZmYmO3bsYO3atWzduhWTycQVV1xx1OvDw8N59tlnefDBB32Ot1c4jo8/wdSHnQvhnUvBVk9jWA7c/hNEDwXAI0r84YvdvLC8ELVK4B9XjOAPFw1DdQI6YO6mJmr+/g8Aoh/6nY80BsA7e9+h2lrN0PChXJZ+WVdd9CldyWRcN/Q6BK2cwiY5vZMqjQ6ufgfSZ4GtHt69HCzV/OWSYQQZNCzPq2PpnupetFxBoX/hcrlYuHAh+/btQ6/Xc+ONN5KZmYnKBXVv7MHT7ECXFETEDZ3O5T3Lf2Tnj0tQa7XM+e0fCQjtjBjctbyc0r0N6AM0zL41C9UZNGkSBIE5c+YQHhCLqHaxzLgfOy40B0Q8ViWVXaF/cOh8p6KigmeffZaVK1eyZ88ePB4PCxcuPOr1s2bNYufOnezYsYM333yT22+/HTiF+c7h7PwIyjZAYAxc0Kn1+eqqg1idHmZkRDEuJbzjeG5rGxvMVgLVKq6NDffpqqbmG0AkMnJmR0G9/oZaLRcpPDSCOdEgV5Ivt3c6iMalyOPs5uJGyL4W1Hoo/BmainvPWAWFk+DQMWfPnj289tprbNq0iXXr1vHNN9+Qn59/1OtPZY0liSJVf3kEy3ffoQoMJOmNN3ja/g35TfkMCh7EdRHXdVlfpjJvHy57GxGJyQRHRnUcb21y4LC5MQRqCQj1z6bsa1QqQS70BzSUd8ruqDUakkfkAJ3SHydD5PzrcN15LSog84UfKN6y4hSsVVA4vXiutJYPqhrRCyIPio8yRNtMZuZjrFq1CoDJkydjMplAhDavc9U0JrovTe4TTGNigE4ne1BQEMOHD8ftdrN+/WaGD/8P44Vt3CU9A8AjBRUsqWvuK3MHFJq+NqA/sm/osB7pd9j+fSd13bJly0hPT2fQoEFHPS86Opro6Gi+/fbbk7pPB5IEq5/sTA0d/wt2Gy9khjc91O0R+e2nO1m0oxKDVsVLN4zl7MwTH5jqnnoaT1MTpvHjCZ03z6et1lbLm3vk4jEPjX8Itar/FeY63MGcE5XDsIhhuBsaAPCYzZ2NGj1c8z68PxdK18PC64i+eQkPXzCUP3+1h79/k8usYdHoNf3vORUUehKn08mHH35IcXExJpOJBQsWEBcXh+QWiduqwt1sQxNtJOJmWXMZoOZgAT+98SIAs267m9j0IR39NVVbWf9VIQDnLBh22uouHw2NRsP0sefzzbLPaNNa+V61mTniZJp/KiLisoxjd6Bw5vC3EHok/u1v5mOfcwhut5u2tjbcbjc2m+2YDuLAwM6MJqvV2r3Ff+1m+Omv8vezHwej7FStszh4Z10xAL+e7ft79FaFHLl4TWw4gYf9HW8v7hcbc3n32djNtEcwi55Oya6uHMwTUsJ5a22x7GA+NwOyLoddH8O292DWX3rVZoWByX+v6Zko/t9+/M1xn7tv3z4mTZqEyWTC4/EwY8YMvvzySx566KEjXnMqa6yaJ/6J+YsvEAwGkl55mZ9NxXy29TN0Kh1PzniS6l1dB5mU7t0FQEq2ry5zu9M2IiGwXxQ+74qIhECqCs3UV7SSNLxz0y0lezQFm9dTtncX2bMvPOn+Rz7wCN/uXkf6ulLq7v8NiYt/QhMefuwLFRROY76oaeL/DlYhAPcKLzGEfIYMfpKGBgcHDx5Eq9UyadIkAALqQLS50cSY0Mad/sX9DseYFUGzToWz1IK7Xt5cP+uss8jNzWX79u3MnDmT5KTbkUpfwawdzvuu87knt4QvcrSMCTnz3teJcOaEdQ1gFi5cyPz583vnZpIkL6x+/jsgwEVPwsVPInkdvE63yC8/3M6iHZUE6NS8c8uEk3Iut+3YQfOnn4JGQ+zf/uo3QXp++/O0uduYlTyL8bHju+PJup1RUaNQC50LyeuHXX/0C3Qm2ckckgwVW2HxfVw3PonMmCAqzXY+2VzWwxYrKPQv3G43H3/8McXFxQQGBnLzzTfLzmVJounLAozNAuoQHZG3jkQdIGcGtLVaWPTff+BxuRh17gWMPPu8jv5Ej8iyd/bhcYkMnRxLWk7UkW592hMRE0xIUxZqQUedro0d6mJsG2vwmB19bZqCgg8JCQk8+OCDZGVlERcXR0hICOedd94xr/vyyy8ZOnQoF198MW+++Wb3GbTiX2Ctg6RJMKpTM/mVlYW0uTycOyyanKTQjuPNLjefVTcBcHNCpE9Xra0HsLTuRaMJJiJiZvfZ2M2oVHIUpCh2OpNjdVpUSNQ63dg9IkBH1Pa2kmZcHhFG3yCfvOdzef6ooDAAGDFiBKtWraKhoQGbzcaSJUsoK+uZObintZWm995D0GpJfOF5GjNieGz9YwA8POFhhoYPPeK15bl7AEgcNtLneH2F7GCOTOg/0oGHE9EewVzR6nO8/VnK952aPKAgCOT852UK4gUCG9rI/+WdsjShgsIZyrYWKw/sKwXgrsAtjPX8TFjYFGJjL2f9erkg5pgxYzAa5YyloErZDRgwJrrfblT1JCqdGmOWPGez7ZCjmGNjY0lNTcXpdLJ161ZSU3+FwZDEBc5XmRNYg12UWLC7iCqH82hdn/EoEcxdMGz/PiwWC0FBfa9r5XQ6+frrr3niiSeOffKpIoqw5EHY8gaoNDD3VRhxZUezw+3hrve2sjyvjmCDhnduncDo5BMvnCW53VQ99hhIEhG33II+Pd2nvbC5kEWFi1ALan499ten/Fg9hUFjICU4hUJzIVqVllmDZskNKnnAVod0kQobEAnzP4I3zoNdH6OKHcmvZ1/FXe9v4/nlBcwbl9RRkV5B4XRGFEW+/PJLCgsLMZlM3HzzzURGyn/oW9dWYttag6iSiL4xC403BVSSJH569Xks9XXEDs7g7Jvv9Olzx09l1BS1EBimZ9q8IX73PJMIjjSiFg1EuUZQrdnGVs1BYlyhBK4oI+yywX1tnkJ/4W/mPp/vNDU1sWjRInbv3k1iYiLz5s3j/fff54YbbjjqdVdccQVXXHEFq1at4i9/+Qs//fTTKdtispbC1leQN9j/Dd5FV6PVyfsbSwB44Fzf6OWFVY20iSIzwoIYEuCbMVFT8zUA0dEXou6iMHB/QRDkeYskiR3HNCqBcCTqEah0uEgz6YkK0pMSYaK4wUZetYURg6ZCQBQ0FUH1LojL7qtHUBggtEca9+W4M2zYMB5++GFmz56N0WgkOzsbjab7l8QeiwWxpQU1EP/vf2GaMpn7f/gFNreN2YNmMy9j3hGvdTudVBXkAZAwLMunrd1p2+7E7Y9EHsHBHJ6QiCkkFGtzE01VlYTHJ5z0PRIjUvn8oauI+NOnhG3bQ93zLxD96wdOxWwFhQFJk8vNHXuLcUoS8yMlptY9gUqlZ2jm47S0tLBnzx4EQeiIXpZcHkxeyXhj9pkbjGPMicK2vZa2PQ2QIx+bMmUKRUVFbNy4kUmTJjE083F27LyZq60P0xDyIWvNTu7eW8JnOYPRnIA07JmEEsHcz/nxxx8ZM2YMMTExPXsj0QOL7pGdy2o9XPOBj3PZI0rc99F2lufVER6g48NfTDop5zJA00cLceTuQxMfR+Tdd/m1P7PtGURJ5KqMqxgUfHRZkL4mNkDWjR4cOhityqu93L6DrtMe4aIRMPcV+fuf/sZ5YTUMjwumpsXBR5tKe9pkBYU+R5Ikvv32W/bu3Yter2fBggUdzmX7gSbM38pVjmtGiegOidDZs+JHDmxci85o5OL7HkKj7fwda6hsZeNi+bqzbxiK3nSE378zhKBwAwggNgaRM3wYCLBcu4eGrWWIbe6+Nk9BoYOffvqJ1NRUIiMj0Wq1zJ07l3Xr1h339WeddRaFhYWnVtTPS3rh2yC6YdwtPs7Sd9cXY3eJnJ0ZxYiEzs1jSZJ4r1KWxbrlsOhlSZKoqV0KQEx0/yzu146AvLEt4fE5Ho7scK5xdkYGZnmfP7eqBVRqGHap3JC7qBcsVVDoHm677Ta2bdvGd999R3h4OEOGdO+mtGi34/JGRUf+8pcEX3ghnx34jE3Vmwg3hPPnSX8+atRgdcEBPC4XkckpGAN9HfHtEhmR/djBHB4vp5A3VlnxeDo3rgRBIHGo7DAv37f7lO9zw4z7eelKEyJQ/9qr2LZtP+U+FRQGEpIkcf++UsrtLnKCjFzt+DcCkJx0KyZTCps2bUIURYYNG0ZYmOy7sec3o/IIaBMC0YSeeVKC7RjSQxH0alzVVjRehbDBgwcTFRWFxWJh7969RERMJzLyXATRwoP6z4nRadhgtvKvoqq+Nb4foziY+zmffvqpnzzG888/z/PPP9+9N/rmAbmojTYArv8UMi/oaBJFiTf3OPl+bw3BBg3v3zbRZ4F1IrgbG6l79lkAYv/0J1Qmk0/79trtLC9bjlFj5K5sf+dzfyNAK0+gpsRP6TzodTAL2qM4uIZdChPuBNGN6ss7+M3ZSQC8saYIj6ikmSqc3qxcuZKtW7ei0WiYP38+cXFxALgb2mj4cD9IEHROEtZD6n42VVWw/K1XAZh1692ExnQ2iqLE8vf2I7olhk+LJzkrolefpz+i1qowmLRIosQ5sy5BY7fSJjhZL+3HuqWmr81TUOggOTmZDRs2YLPZkCSJZcuWMWyYXAvjSPOdgoKCjvTqbdu24XQ6iYg4xd/74rVENG4FXRCc/eeOw21OT4f28p0zfDOuNpmtFLY5iNFpODci2KettXU/bW3FaLXhhIZOODXbehjBK/clib6bT8HI77jB2Xl8eJz8nPuqWrwHLpe/7v1KkclQGDDU1sop0WVlZXzxxRcda63uWGNJbjfO0lIkUUQwGIi8524qWyv575b/AvDHiX8k3HB0veAyr/M1cdgIn+Mej4i5tg0ECI01dXVpv0Bn0BAUbkB0S1jq7T5ticPlZ2qXADkVIowRjD1/AV9PEhBEicqHH8bTaj3lfhUUBgovldXxQ0MLIRo1/4wrw9ayCa02nEGD7sTtdrN9u7zpMnny5I5r2vbKG+PG4Wf2eknQqDAMlcfiwBp5w08QhI53tWXLFgAGpz+EIKhpq32Pp9O0qJCLKf5Yf2L1Rs4UFAdzP8Zms7F8+XLmzp3rc3z//v1dLqSqq6tJTEzkf//7H3//+99JTEykpaXl6DeRJGhrhm3vgsYAN3wGaTMOaZZ47Jtc1la6MenUvH3rBIbHBx+5v2NQ99xziBYLAdOmETRr1mGmSDy99WkAFgxfQKQxsose+hdu72IsI6wzZVZyy8cEzTEiKM/9G0RmQH0esypeIjHMSHlTG6vy63rKXAWFPic3N5cVK1YgCAJXXXUVKSkpAEhukYaP9iPZ3RiGhRN8bmf2gsft5ttnn8TlsDN06gyGTT/bt881ldQUtRAQomPqlYr8QzuGQHkMcjthcEgAgihRqK5h75rtSMpGlkI/YeLEiVx11VVMnz6dkSNHIooid9xxB3Dk+c7nn3/OiBEjyMnJ4d577+Xjjz8+NQ1BSYJlj8rfT/klBHTe87OtZTTZXGQnhTIx1dcp9FFVIyAX9zs8VbK2dgkA0VHno1L1b0W6mlpZtqCpeaPP8WBvBHOD6ygO5kFTwRQJjYVQt78XrFVQOHWuvPJKhg8fzjXXXMMLL7zQEdl3qmssSZJwVVYiOZ2oDAbUYWEgCDy6/tEOaYzzU84/pn1VB+TfpcTD5DFa6toQRYmgcANaXf+W1AvzOsCbqn0dvgneCObK/O4ZL64bdh2fz9RRHC3gKiuj5p+9ICupoNAP2G2x8X8HKwF4OjOetrJ/ApCa8ks0miDy8vKw2WxER0eTmJgIgOSRsO/zOphHnNkOZuh0sgfUds7hsrKy0Ol0lJWVUVdXR0BAOvFxVyNJHsLr/scf0uTAqPv3l1LnVLTfD0dxMPdjTCYTJSUlhBym5VtcXMyVV17pd35sbCzl5eW0tLTQ3NxMeXk5wcHHcAa31oCjRdZcvuZ9GDTFp/npn/J5e10xGgFeXTCOMScpiwFgP3CA5o8/AbWamIf9KzWvrljNttpthOpDuSXrlpO+T29SaZUH9YSgTg0x0SpPpA6PzvZDZ5J1rlUahI0v89tMOb33gw0lPWOsgkIfU11dzZdffgnA7NmzGTq0s7iN+YcSXOWtqEP1hM/LQDjEWbN50WfUHMwnOCqac2+/x8eRZGtxsv7LQgCmX5OBzti/HTm9iSFAfhd2q4vUocPR1ZUDsNq+G/PurqvWKyj0BY8++ihbt25lz549vPfee+j1sl7xkeY7Dz/8MHv37mXHjh2sX7+eadOmnZoB+T9A2Uac2mCYfG/HYY8o8drqIgDuPCvNZ+xpdXv4uq4ZgGvjfBdpkiRRWyfLY0RHX3hqtvUibbZin/93RDAf6mD2BhnkVrbIUeRqDQz2BgwULu8VOxUUTpXVq1eTm5vLunXrmHVIwMuprrE8TU14WloQVCq0yckIgsCy0mWsq1xHiD6EP0380zFtkySJqsJ8AOIGZ/q0NVXLedxhMf03ermd0Jh2B7PN53hk0iA0ej3mmmpsLaceARhtiub8wRfz7BwVHq0K82efY9206ZT7VVDoz7hEiV/vL8MtwW0JkWS7l2GzFWE0JpOQIGdktEcvjxkzpmP+4ixpQbS5cZokNNH9fxzpaQyZYaAWMDSBp1Uu3qfX6xkxQs602LZtGwCpqfejVpuor/+JG0IqmB4WSKPLw5/zK/rM9v6K4mDuJ6jVasxmMzk5Occ895tvvkGn0x13321tbeTk5OByuVCpDvnIrfVg8erHzH0Vhsz2ue7zreU8sywflQB35+iZNuTkI4olSaL2n/8CUSTsmqvRH6Z1JkkSL+x4AYDbR95OoK7/6oq1I0oixeZiAFJDUjuOe1osAKiPp3hJ/GiY/iAAl1Y8hUEt8vP+Wiqa27rdXgWFvsRqtfLRRx/hcrnIzs72SdWy5zXSuqocVBA+fyiqQ/STG8pL2fDFQgDOv+sB9KYAn37XfJqPs83NoBERpI0+cwtVdIU+QH6P9lYXManpaBtrCBK1WAUHy5f/3MfWKZyp9Ml852iIIix7HIDS5KtA3/m3e9m+GkobbQyKMHF+VqzPZV/XNWPziEwKCSDN5FvAr9Wah81W5JXHmHjc9vcVBn08AKFhvrZ2JZERHaQnzKSlxe6mpsUhH0zzZpUcVBzMCv2P3hpzcDpxVcnrKm1CAiqdDkmS+M/m/wDwq5xfEWE8dsSgubYGu6UFU0goQZG+85rmGtlZ25/lMdppj2But7kdlVpNTKqcbVbjdaSfKjcOv5HyKIFFU+SN9ZrHH++siaOgcBryQmkNe1rbSDbo+GNaDMUlcn2n1NT7Ual0NDc3U1BQgFqtZtSoUR3X2fObALBFSaeW+XWaoDJo0KeFICDgKGjuOD5mzBgAdu7cidvtRq+PIjHxJgBKS1/hycwkjCoVi2qbWVLX3EXPZy6Kg/kQpD7UjktKSqKsrIwdO3Z0e99Go5EdO3ZQUVFBeLg3vdNhAXOZ/MzGcJ+CfgCbihr5/Re7AHh0ThZjY04tKrB15Uqs69ahCgoi8le/8mtfUbaC3IZcIo2RXJ159Sndq7eobK3E7rETaYzE1OJEtMsaYx6LnDKnOlb0eDvTHoCQZDR1uTyasBlRgm92VvaQ1QoKvY8oinz22WeYzWYSEhK45JJLOiY1HouTxk8PABA8exD6QZ2/N5Io8v3Lz+Bxuxk16wKSR4zy6bdsXyP5m2vQaFWcdW2GMlE6DIPXweywuYhOTUcADNUlIMGupgLqq2r71kCFPuOMmu9wjOfNWwI1uyEonsp432jj97wZRQsmDUJ9mATGx155jPlx/g6jurofAYiKPLffy2MABIeMBsBkSvU5HuiVyGhydxb/EwSBlEh5o6+kwZv6njZT/lq8VtbkUVA4jNN9zCkvKyPIagVJQh0WhjokBEmSaHW1UmmtJDMsk6syrjquPqsL8gCITR/iN69pqhn4EcwAsYNlacGqggPdcq/M8Ewmxk3k8wkeHLFhOPILaPzgg27pW0Ghv7Hf2sb/iuV6Kv/NTKK18Ufa2ooxGJI6igrv3LkTgGHDhmE6JKva7nWi2iIVqbx2DIM7ix+2k5CQQHR0NDabjQMH5HEqOelmVCo99fU/EeEp5k/pslTG7w+U0+RSCqi3oziYvRgMBhoaGvp0AtRruO3QWIQkSTR4AjCE+EYmF9dbufO9Lbg8EjdPSWHB5JRTup3k8VD75JMARN5zD5owX5kNURI7opdvG3EbRo3xlO7XWxw0HwQgPSSdqr88Ql7OaPaPGUv1Xx4BwL5nD5W//wM1//4PjsLCI3ekNcL5/wDgiqa3CcXCd3uV9HWF04e1a9dSVFREQEAA11xzDVpvAUxJkmj6sgCx1YU+PYSgGUk+19Xu2U5Vfh6BYeGcdYOvbI7HI7L6Y/kP/riLUwiOHBjjRm+i0cp/4j1uCVNIKIERkdjNlWToE5EEiR8Xf9/HFir0BWfUfAd5nGloaMBg6KJSuiTBmqfk76feh6jujFwsqreyOr8eg1bFvLG+Y1OZ3clGsxWjSuCSKP+ix/X1PwEQFXVe9z1ITyLJjuT2Yn/ttL8xm8fjczwlot3B7HUcBcdB1FBwWaFcSU1X8OVMGHPcdXWIDgeCToc2NhZJkqipq2Ffyz4Afj/h96hVx6eZXF0oz21i0zP82sztEcwDwsEsjxOHRzCD7DwHqDnYPRHMAFcMvgKXRuDLi+XNxfrnnsdVq2ykK5xeSJLEw3nlOCWJBfERTAsLpKT4ZQAGJf+iY1N7zx65iGZ2dnbHtaLNhavcAmqBtpNXPT3t0A8JBcBR0NTxd0oQhI6sl/Z3qdNFEh8nB0KWlLzKrQmRTAgJoNbp5v8OVvW63f2V/h9W0UskJiZSXl5OXZ1cYM1ut3e9GOllut0OSZR1lz0u0BgwRISSmJTY0Wxuc3HrO5tpsrk4OzOKv1wy/JRvaf56Mc6CQrQJCYRdf51f+8+lP5PXlEe0Mfq4d/f7A0VmWZcxNSQV0/h4WpcvR7LZ8NjkiZS7pgbzV18hGI1E3nXn0TsbdimkzkBXtJIHdF/xt9IFVJvtxIb0/c+ggsKpUF5ezvLlctr05Zdf7qNZ2LarHntuA4JeTdjVmT66yy11tVRuXA3Aub+4108aY++qSpqqbYREGck5N7kXnmTgodK0O5hl51H0oFRaG+oZmZhCYWEleZWFlJeXdxT+UDgzOGPmO4dgMBi6/jkvWQsVW8AYBmNuhHWbO5ra6yFcOiqeEJNv0d6vauQU0/MiQwjQ+DqN7PYqLJY9qFRGwsImMxCQkB3IAr7PYvRKZFg9os/x5HDZuVXSeEjxrrSZcpG/4rWQcoqa2AqnFYePOXB6jTuSy4Xb+2zqyEhU3mi3Ylsxr5S8wgUpFzAudtxx91ftlY1od8IeirleltALjur/m+oBITrUWhV2qwun3Y3O0Ol2iPNGMFd3k0QGwDnJ5xCoDeSL6BKumzoBce0m6l98kbi//a3b7qGg0NcsrjOz0WwlQqvhL+nxNDauwdK6F50ukrg42Y9SW1tLXV0dRqORtLS0jmvthWaQQJccjKRp7KtH6HdoYwNw6yQwO3HXtaH1alMPHz6cH374gfz8fJxOJzqdjuTk26mo/JCa2sWkpf2aJzOTOHvzfj6obODWhEiGBfb/sbmnURzMXrRaLampnamBK1asYPTo0X1oUQ/YIYrw0bWQ/z1ED4fbfvDRGpQkid99upODdVaGxgbx3HVj/FJCT/iWTid1zz0LQNR9v0J1mK6ZKIm8uPNFAG4fdTsGTd9PNo+X9gjmtNA0TONHHvG8kMsvQ30suQxBgPP+Dq9MZ776Z55jDj/kVnPjKUaPKyj0JQ6Hg88//xxRFJk0aRJDDtFe97Q6af5ajuwPuSgVTYivhumKd19HdLvJmDyd9LG+uqB2q4tN38i/f1OuHIxaoyTjdIVaLY/folt2EoXGyKlczoAWsjxJ7NKU8OMPP3LLrQOjqKpC93BGzHeOl/bo5Yl3ga5zE8vu8vDpVrko5oLJg/wu+6pWdjDPjfEPAaqvl/XNI8KnoVYPjDmNJHkdzILvWGrwOphb3b4O5pRIefFV3HBIZGLieNj4MlRs7UFLFQYih485cPqMO5LHQ/F112HfuYuw6+YT+4icxXiw+SAPL3oYtaDm/jH3H39/kkR9qby5FZ2a7tPmdnqwmZ2oVAKBYf1/bBFUAsERBpqqbbTU24lM7KyvExwVg85owmZuxtrcREDoqYdTGjVGzk85n8/zP2flZYOYvm4zzZ9/QcTtv0CXmHDsDhQU+jl2j8jjhbKM5sOpsQRr1OwofweApMRbUKvltVRubi4AQ4cORa3u3Dh2FMhzF8OQUEBxMLcjqATaIiSCqgQc+U0dDubQ0FASEhKoqKggPz+frKwsjMZEYqIvpbrmKyoqPiBj8MPcHB/JGxX1/LWggo+z0894yUZlVX4mseEF2blsDIP5H/k4lwFeX13ED7k1BBk0vLpgHIH6U99/aF64EHdlFfohQwi+5BK/9hVlK8hvyifaFM2VQ/yrNvdn8hpljbSMsAwMw4aiCgjo8rzw668/vg7jRkHGheglB7/QLGH5fiWtS2Fgs3TpUpqamoiJieHcc8/1aWtefBDRKktjBEzwLZ5VsmsH+ZvWodJomLngNr9+t3xbjMPqJiEzlNTsky8+erpTVyYXHK30FvQIiZHfc1NTFeNjstBJGkpKSygvL+8zGxUU+oyqXVDwE2hNMOEOn6Ylu6swt7kYlRjCqMRQn7Y8q529rXZCNGpmhvsX822Xx4iMOtevrb8iirJuskrlGwRgOGIEszzfKT3UwZwwVv5asVWWHlFQOANo+mgh9p270ERHE/XrX3ccf3Hni0hIzB0yl8Sg488SsjTU4bBZMQYFYwoJ9WlraZBrvQRGGFCdYgBQb9EuX9ZS71u8XBAEIpNTADoc6t3B5YMvB+Bjx1qCL7kYXC4aXnm52/pXUOhLXiuvo8zuZGiAgeviImhrq6ChYQWCoCM+vrOG1d69ewE5AvdQHEVmAPTpob1m80DB5i2n4Shu8TmelZUFdL5TgMTEGwCorPoMUXTw29RYQjVqVjW18mOD7/VnIoqD+UyhYiv89Df5+8tehLAUn+bNxY3887v9APx3XjbJEaeu7eVptVL/kvxHPerXv0ZQ+6ZeSpLEa7teA+CWrFvQqY+/anNf4xbd5DfJaV0ZYRkIGg1Gb7XRQzFNnoR+8ODj73jG7wBYoP6BgpISPKKySFMYmBw8eJAdO3agVqu56qqr0Gg6N6za9jfStrMOQasibK5vERuP283Pb8uVkGPHTiYowteB3FRtZfeKchBg2jz/AjgKnVTkNQNQvLsBgJBo2cHcXFNNcGY0Qz1yRM+6dev6xD4FhT5lkzzOMOZGMIX7NH2+Td50uWZ80uFXdchjXBwVgl7lO412u600Nm0ABCIjzu5+m3sI0SM7rlQq36jITgezrwZzu3xXrcXeeTAsBUwRYKuH5u5zGCko9FfcTU3UPf00ALGP/AV1kLzhlNeYx/fF36NT6fjFqF+cUJ/tztbI5BS/+U27kzY4ov9HL7fTbuvhDmaAqGQ5O6S+rLjb7pcdlU2MKYZaWy3N888DlYrmL77EWVrabfdQUOgLGpxunimRC/s9OjgBjUqgsupjQCI6+gJ0OnkeU1dXR11dHQaDwUceQ7S5cNe2gUZAlxDY1S3OaOyh8nzHUdLiUy+g3UnfLpMBEBycQ2DgMFyuRmrrfiBcq+E3KTEAPFZYiecM32RXHMxnAnYzfHYriG45DXToRT7N9a0OfvnhNjyixJ1npXFeVuwROjoxGt99B09TE8bRowk8e6Zf+/qq9exp2EO4IZwrMwZW9HKxuRin6CQxMJEgnTyhNI0f73de+A03nFjHCWMhfRYBgoO5rqXkVVu6w1wFhV7F5XKxePFiAGbMmEFUVFRHm+QWMXvlLYJnD0IT4atVtf27xTRWlBEaG0dM9li/vjcuOogoSgyfEkdkon/0oEInUcny+4kbLBcha5fIaK6pwpARRpY7CRUC+/bto7FRSZVTOIOwNcLuz+TvD4termxuY11hAzqNiktGxftd+k1dMwCXR/undDc1b0CSnAQH56DTRXS72T2FR5QdxWq173jcvi3oPmyxFBkoBwTUtzoR2zfCBcE3illB4TSn/oUXEVtbCZg2jaBDsrTaC5dfnXk1sQEntqaqK5Hru0R5o3sPxeKNYB4I+svttNvaHn19KJHJsmxKXUlxt91PEARmJs0EYLmQR8hll4HHQ8Nrr3fbPRQU+oLXy+to9YicHR7EjPAgRNFFZeUnACTEz+84Lz/fGwCXkeErj1Eq+xR0iUEIirSgH64AUJk0iC1OPM2OjuOhoaHExcXhcrkoKZE3AAVB6HjnFRUfAXBzQiSDDDoKbA4W1zb3uv39CeWn60zg299CUzHEjoLZj/k0tesu17Q4GJ8SxoPnZ3bLLT2trTS+8y4AUfff32WUYXv08oLhCzBqBs5kCWB/kxztPTR8aMcx03jfAh6a2FgCZ8488c6n3gfANZrlbCmqO8bJCgr9j1WrVtHU1ERUVBRTpkzxaWtdW4m7vg1NlJHAKb7OG1uLmfWfyX+oz77pDlRqX5me2pIWCrfXodaqmHBpGgpHJyFTdoCljJSjwIMiZIeXtakJXVIwgQYT6W652v369ev7zE4FhV5nx4fgtkP6ORDhq3P65fYKJAlmD48hxOhb3O+A1U6+zUGoRs3kUP8IoIaGVQBERMzoOdt7AFFsj2D21cJvX5q6DwvG0WvUhJq0eESJJpuzsyHem8lVtbOHLFVQ6B84i4tpWrgQBIHo3z3Ycfxg80GWly1Hr9Zz20h/ia9jUV/WGcF8OO0O5qDwgRPBHOSNYLZ06WDu/ghmgLOT5OyR5WXLibhDjiA3L16Mu6mpW++joNBbmF1uXi+XfQK/SZE3rerrf8bprMNkGkxoaGeQW0FBAYBP3RsAZ4ks3aAbdIy6UGcqglz8EDrfVTuDvdno7e8WIDZ2Dmq1iebmjVithehUKn41SI5ifrqkBvEMjmLu1w5mQRAuEAQhTxCEAkEQft9F+0xBEMyCIOzw/nukL+zs1+z/FnZ/KmsMXvUWaHwXDws3l7E8r44Qo5bn5o9Bq+6eH4mm999HNJsxjhuLaeIEv/bttdvZUrOFIG0Q12Re0y337E3a9Zczwzsd8sasLDikEnXYDdf7yYIcFylnYTElES80Yt373SnbqnBiKOPOqVFTU8PatWsBmDNnjo80hqfFScsyOU0x9NJ0vx30jV9+grPNRkr2GNLG+GcEbFwkRz6PmplIQKjer13BF9FbmKu9CKLWYESt0eB2OnC7HeiSgxnpSQZg586dHalfCr2PMu70IqIIW96Qvx9/u0+TJEkd8hhXjvEvCrW0TtYvPC8yGO1hGqiSJNHQsBKAiIizutvqHsXjkdPXD5fIaB+hu0r3jAqUx+Bai+OQg945Ud2BbrdRoftRxp2Tp/Z/T4HbTcgVV2DI7FwLvJsrB9dcln4ZkcYTrxHRUC7PkSKT/IuLtnqj6oLCBs78JzBUHlOsh0QEttP+jA3lZUii6Nd+soyPHU+ANoADTQeoi9QSMG0akt2O+fPPu+0eCiePMu6cOG9V1GPxiEwNDWR8iFwDobpmEQAJ8Vd3BPI5nc6OKNtD5TGg02mqT1YczEdCN0jO/HQch4NZowkiOvpiAKprvgZgXmwY8Xot+612vq8394bJ/ZJ+62AWBEENvABcCAwH5guCMLyLU1dLkpTj/fdYF+1nLnazHL0MMOuvEOmrBVzSYOXxb+Qqo49fPqJDU+9U8bRaaXzrbQCi7r23y+jlN3bLi7v5w+Z3SEwMJPY2yELvh0YwCzodhgzvbqEgEHbVVSfXuUpFa5ZcGDC79qtTMVPhBFHGnVPn+++/RxRFxo0bR1KSr36p+bsiJKcHw7BwDBm+6eUtdbXs/OFbAKZfd7NfvxUHmijNbURrUDPmfP+Fl4I/Ho/sFFKp5TFYEASMQfLEss1iQZcURLgUSGxAJE6nk/379/eZrWcyyrjTyxxcDo0HISQJMi7waSoyixyssxIZqOesIVF+l35b3wzARZGhfm1tbcXY7WVotWEEB43oCcu7Dau1kLXrZrBh44Vs2XIVDoes61hQ+G/25/2VomI5xV/l1WA+XCIDIDq4Kwezd05Un9eD1it0B8q4c/K07dqF5YcfEAwGou6/r+N4fVs9iwsXIyCwYPiCE+5XEkWaqisBCIvz3+BqbZKjgAPCBk4Ec3swQLvth2IICMQUEorb6aC1qftkunRqHVPi5ey5dZXrCLtBXlM1fvghktvdbfdROHGUcefEsbo9vOqNXv61V+fX7bbQ0LACgOjoTunToqIiPB4PCQkJBAQEdByXRAmnt/B3uxNVwZ+OCOZSX4nSxMRE9Ho9DQ0NNB2SCRETcwkAtbXfIkkSepWKe5KjAXiquMZHy/lMot86mIEJQIEkSQclSXICC4HL+timgcWPj4ClChLHwwTfIhMeUeK3n+zE5vRwyag45mT76wyeLE0ffojHbMY4ZgymSZP82g82H2Rl+Ur0aj3XD7u+2+7bW4iSyN562cE8ItJ3Ean1OtQ0sbGoQ0NP+h4hU27GKamZ6NqMq7nipPtROGGUcecUKCgo4ODBg+j1es455xyfNmdlK7ZttaAWCL3EX95i3acf4nG7GTp1BtEpvu2SJHVEL4+enYwhUOt3vYI/7RHM7Q5m4BAHcwu6RDnFP0MtV7jfsWNH7xqo0I4y7vQm29+Tv469CVS+WUabqmXnw6XZcWgOy+gqtzvZZWnDqFIxI9x/gdYevRwePg15Dd1/MZlSEUU7VusBzC3bkSQXAHV131FR8T52uzzvaB85Wj3+0YVhJlmH2dzm6jwYkQ6CSpZlc/k7lBT6Fcq4c5LUvywXCA1fcAPamJiO4x/nfYxTdDIjaQYpISkn3G9rUyNuhwNjUDCGQH8JnvYo4MABlMFlCtEhqATaLC48bv9xJDRWXn82VXXvWmdi7EQAtlRvIfCss9AmJ+OurMKyfHm33kfhhFHGnRPkk5omGl0exgabmOqV5qqrX4YoOggNGY/BENdxbnuEbXvEbTvu+jYkl4g6RI/aW0NBwZ/24oeuGivSIfMetVrdERF+aBRzWOgktNpwbLYiWlv3AXB9XASRWg27WtvYYLb2ovX9B82xT+kzEoCyQ/5fDkzs4rzJgiDsBCqBByVJ2ttVZ4Ig3AHcARATE8OKFSuOevPW1tZjntMbnKwdoU27yNn5NqKgYUvcjdhWrfZpX1LkZEuJi1C9wAWR5u57Hw4HUa+8ggqonDaN4pUr/U75sOFDAMYbx7Nrw67jfKITtKMHOWg+iM1tI1wdzp6Ne3zajGo1wYB5yOBTt1MYzUy2sO2Lp7CmXeLX3B/eRX+yo5tQxp2TtEOSJLZs2QJAQkICmzZt8mmP26oiAIHmRA8Fuzf6tLU11pO7ahmoVGhShnTcu92O1iqJqkIJtR5adMWsWFFy0s92ogzkz6SiVJ4cFRQdoM4jF/2weydMG9esJiw6hVTUJDUEIegEDh48yHfffYfBcOToqIH8PvoxyrjTS3ZoXK1Myf0GAYENthQch9xPkiQ2VbkAgXh3NStW+NZA+E7SASZGinY2rl7l17dH/AqA2tooVtSt8Gs/EXrjXdjtv8LlagY8mAKeRZIE2mz3AwKVFenUVK/AarVCQCiAnz2WRtnZtW3XXoKbOiUxJhhiMbVVsvn7hVgDU7rF1jPpZ7QX6bZx50THHOg/7/JE7VBXVBD5889IWi37hgwh13utS3Lxfvn7AGQ7s0+oz3YbLBWyPIYqINDvekmSsDTK0XDbdm9Etc8/O/RU6anPRK2XcLfBsu9Wogv0tdshyBt5G1eu4GB9U7fZITrluc66snWsWLmSgAnjCSotpfD1NzBrjy9IoT/8jPYHG7qZM37cOREbJAleIghQM7WljpUr5QwHjyhL8ZhbMnz62rtXfk1ms69vJ7BKIBYVLTo7eYetsfqa/mTHqg1rGGRUoW2D9UtW4TwklsDj8QCwadMmeW7kRRRHASvYvPklVKorAZguGfgSA//Znst9gu2EbOgv7+JU7OjPDuau/nIeHme+DRgkSVKrIAgXAV8BQ/yuAiRJehV4FWDcuHHSzGMUX1uxYgXHOqc3OCk7PG54+WEAVDMeYsLMG32ayxptfL1Mdvw+dd04zs6M7jY7Gt99jxqrFWN2NkPvvstPHqPOVseWz7cgIPD72b9nUPCJpbr3h89l/TdyMaxxieP8bKn6+WeagbRp0wg/RTtf37OWmfVbSG3bQ+TMJ/3a+8O76E92dBPKuHOSdmzbtg2r1UpISAjz589He8gE3lHaQt13OxG0KobdMBF1kO/u+aIn/wGSRM55FzFrzuV+dnzx5FbAzPgL0xg7O+XkH+wkGMifyVfbt9NCE6PHjSJ5uFzgr3nzGiwVpQzLzGDIhClUbduI0QxD0zLYV5hHYGAg06ZN61Y7eoL+Ykc3oYw7vWXH1ndAckHqWUy+YJ5P086yZhq/X0tMsJ7bLjsH1WEay6/sLIRGC9cPHczMuHCfNlF0sWr1r/B4YOqU29HrYzgVeuNdVFd/zd7cv3b8XxAkTAFPExCQwcQJSxAEge+Wr+hoP9yetdZcVpYXEZecxswZhxRKrMqBvErGp4ZClu81J8sZ9TPae3TbuHOiYw70n3d5onZUPPQQLUD4vHkMnzOn4/i3B7+ltbSVYeHDuO3827qUBzyWDTt/XMoBICVzuJ9NbRYnuR+vQW/ScM65PaPx3lOfSf3GLdQUtTBi6GjiB4f6tG1srmPN/j1EBQV03Ls77JAkiZc+fokmRxPpY9OJy8qi4IsvMeTmMmr0aNQhIcfsoz/8jPYHG7qZM37cOREbNjW3Urq9gEithgenTEanUuFytbB6TS6SpGLq1PvQ62St97a2NlasWIFareaSSy7xqYFjXlqEhXJiRw0ic+agE7ajJ+lvdjSU5dK2t4HsxOEEjO70kdXW1nLgwAHsdjszZszoGOObmoxs274CvWE3UyY/iyAIDLE7WbQ+l82Cnqwpo4nSHd+mVn97FydLf3YwlwOHCngmIu9idSBJUssh3y8RBOFFQRAiJUmq7yUb+ydb34K6/RCWAtMe8GmSJIlHFu3B7hKZkx1/XM7l40VyuWh4+y0AIu74RZeTq4/2f4RLdDEredYJO5f7CyUOOXpyVNQovzZXuZzipU1M8ms7UZoSz8Fd9yThdZvA1gim8GNfpHCqKOPOSeB2uzt2OmfNmuXjXAZo+UH+nQmcmuDnXK4vLaZg83o0Wh2T5l7r13dlfjN15S2MuCQYY3Ib+/bt65mHOAIhISG9fs92DAYDiYmJfu/zeHG2yen+elPn9WpvXx6XnNauiTLhMTvJiEljX2EeBw4cOKqDWaFHUMad3mLXx/LXUf5jzZI9VQBcOCLOz7ls84isa24F4JwIf3mMlpadeDw2TKb0U3Yu9xbh4dOQ1/q+a/v4QwoGtSeIBnVRADrIII8lrY7DNE1DvD/KLYq8Vz9HGXdOEGd5OS3fLgGNhojbbvVp+zL/SwCuyrjqhJzLh9IuExEW5y9baDXLRXgHYoHjgBDZ5q4K/bU/a3dLZAiCwNiYsfxU+hNbarYwd8hcAiZNxLpuPS0//EDYvHnH7kShJ1DGnRPgncoGAK6LC0enkv8ONzatRZJchIZO6HAuA5SVyYHhCQkJPs5lkGUKAXRxARyOy+WivLwcu71vZK36ap11pDWWNj6Qtr0NuCpa4RAHc2RkJEajEYvFQnNzM2Fhci2h0NDxaLXh2O1l2GyFBAQMJsGgY3ZkMN/Xt7CwqpFfDRoY88Luoj87mDcDQwRBSAUqgGuB6w49QRCEWKBGkiRJEIQJyJrSDb1uaX+irRmW/5/8/ezHQeM7Efl+bzXL8+oIMmj48yXDuvXWLd99h7uyCl1qKoFnn+3XbnPZ+DhPXtzdnHVzt967Nyl2FAP++ssAjoOyTqw+3V9j9kQJCY9mvTic6eo9cOA7yLnu2BcpnCrKuHMS7Ny5k5aWFqKjoxkxwvf3wl7YjKOgGcGgJugs/6I1G7/6FIAR55xHQGiYX/vWpcVknB1I+sgEEpJjT3rhdrJYLBaCgnq/IIYkSTQ0NFBeXk5qaupxXVNVaGb/hipMQTqMQdqOojr2VhdtrU4MJm3HpNPjLXSjiTTiKGgmSRuNSqWirKwMm82GyWTqmQdT6Apl3OkNmkqgZC1ojDB8jk+TJEks3V0NwIUjYv0uXdfcikOUyA4ydhmJ0tgkZzaFh03pAcN7Bp0unODgUbS07Ow4JghaYmM65TA93mAzdRfjbqBeHkss9sMczMFe55hZcTD3c5Rx5wRpeu998HgIuewytAmd85myljI2Vm/EoDZwYeqFJ92/uVYuthkS4z8GtVlkB7PxsE36gYAxWLbZ3uryawuNkfVj25+9OxkdPZqfSn9iV90u5g6ZS/DFl8gO5m++VRzMfYcy7hwnjS43i2ubEYAb4iM6jrfXe4iImOlzfmmpLLGTnJzs15erSpZ00Mb7a7uXl5cTFBRESkpKr6+xoG/WWUdbY2njZSe8y+uUb0elUpGUlMSBAwcoLS3tcDALgoqI8LOorvmKhoZVBATI+tc3xUfyfX0L71Y2cG9yNKo+eLd9Rb8t8idJkhv4JfA9sA/4RJKkvYIg3CUIwl3e064C9ng1ep4FrpXO1HKN7az6D7Q1wqBpMOxSn6ZWh5u/fZ0LwEMXDCU6qPuqEEuSRMPrbwAQcdutCCr/H63FhYtpcbaQHZVNTnROt927N7E4LVS6KtGoNAyP8C1667FYcFdXI+j1aBMTT/le0UEGfhTHyv/J//GU+1M4Nsq4c+J4PB7WrFkDwPTp01Ed9rtvWS7vqAdNT0Rl8nXMNFVXkrduNSq1mvFz5vr13dYoUZrbSECEhriE6D6Z+PQVgiAQERFxQhEFxkAtuasr2bKkmNUf59NmkRdz3zy/kzcfXMNPb+ei0ngjmNsdzBFGANRmD4MGDUKSJJ8CFgo9jzLu9BJ7PpO/Dr0Y9L6LmX1VFkobbQTrBMal+GcLLWuQA6rOCQ/usuumpnUAhIVP7kaDe56IcN9U+6io2eh0nc/v8X49moPZP4LZO/9RIpj7Ncq4c2KIDgfmr74CIGzBAp+2Lwvk6OXzUs4jSHfyjhJLg6z7Hhzpn11qa5EdzKaggVfk2Oi1uf0ZDqX9WVvq6+juH61hEXIgVV5jHgBB581G0OmwbdqEq7a2W++lcHwo487x821dM05JYkZYEMlGOWBQkiQaG+QaEIf//W53MCcl+WZRe6wuxFYXgk6NOsw/A8JutxMREaGssbxoY70O5lp/7eR25317tHg7ERHyZ9Hu/AeYGR5Egl5Lmd3J1pbj12E+HejPEcxIkrQEWHLYsZcP+f554Pnetqvf0lQCG18BBDj/H3DYQPHcsnyqW+xkJ4Vy3QT/3a1TwbpmLY68PDRRUQTPmePXLkoiH+z/AIAbht/QrffuTXbW7URCYnjEcIwao0+bw+uU0aWlIahPvYJ8VJCe9WKW/J/S9bLS/xk0+PcVyrhzYuTm5tLU1ER4eDhZWVk+bc6KVjl6WacicHKc37WbvvoMSRLJOmt2lwuqulx5PqkzqlFrTv13aqBxopO9kGgjpmBdl4s4gJFnJ/LB738AYMd3ixk163w0kfJGo7u+jYysDIqKijhw4ACjRvlLACn0HMq40wvs+0b+mnWFX9PyPNnZkBOtRn2YPIYkSfzsdTCfG+HvYPZ42jCbtwMCYaFd1Srqv0REnEVR8XMd/4+Pu9qnvV0iQ9PFUKT1HnQfUmkd6IxgVhzM/R5l3Dl+LN9/j8dsxpCVhXFE51zHI3pYVLAIgCsG+48tJ0JLfbuDOcqvbSBHMJu8Nrc/w6HoAwLQGoy47G04bFYMAf4RlidLRlgGAPnN+bhFN5qgIEyTJ2FduQrr2nWEXnF5t91L4fhRxp3jY1FNMwCXxYR2HLNaD+Bw1qDTRRMYOLTjuMfjobJSVho53MHsrpOdm5oo4xHXFWeSc7mdIz2zOkSPoFUhtroQ7W5Uhk53afu7PdzB3C451tS8CY/HhlptQiUIXBodystldSyqbWJ8iL88yelKv41gVjgJ1vwPRBeMnAfxOT5NZY023lpbDMDjl2X5LaBOlca33gQg/KYbUen8Jz8bKjdQZC4i2hTNrORZ3Xrv3mRbzTYAxkSP8WtrdzDrBw/ulntFB+kpkOIxEwSWKmgq7pZ+FRS6C0mSWL16NQBTp071j15eVQ5AwIQ4v+hlS0M9uat+RhBUTLjsKr++zXVtWMpBpRHQGvr1Xmi/QRAE4g4roNNOdEowsamdRW2cDnnXvj2C2dNkZ8gQuYbKwYMHuz2SSEGhTzGXQ+U20Jog/Ry/5uX7ZQdzdpT/RlZRm5MSu5NwrZqcYH/pmGbzViTJRVBQFlptaLeb3pMEBY1CpZI3mdQqE+HhU33aXV6JDG0Xc0aNd7x3iYeNFcFe6QBFIkPhNKJpoSzxF3qN7ybMttpt1LbVkhiYyNiYsSfdv8thp63FjEqt6VIurD0jqV1uYiBh7HAw+0tkCILQ4VBvqeveqOIQfQjxAfE4PA5KW+TozsBp0wGweueuCgr9kTqni3XNrWgFgQsjO+funfIYZ/k4SBsaGnC73YSGhvpJ3Lnr2gDZwaxwbASV0LE2an937cTGyvJFdXV1uN2d2Vs6XQTBQSORJCdNTRs7js+JDgVgcW0z4hm0rlIczKcLzWWw/QNAgBkP+TX/5/s8nB6RK0YnMCoxtFtv7cjPx7puPYLJROjVV3d5zvv73gdg/tD5aFUDL72rnW21R3YwOwsKge5zMAcbtUio2CZ4tbJL1nVLvwoK3UVRURG1tbUEBQWRnZ3t0+ZustO2uw5UEDjNv2DNju+/QfS4GTJpKmFx/trMu7zSGhnjYvwKbikcmfghoV0ezz5HTlvPmCQX8BtzgSyhpA70Sma0uoiIiMBkMmGz2Whqaup5YxUUeov938pfB88Cne/iq8nqZFtpE1q1wPAIfwfz6iYLANPCgrqUimhu3gww4KKXAVQqDQaDPDYEBY1AEHyXBe0luQK6yMrSqI4QwRzgjb60nXGSmQqnKY78fNq2bUMVEEDIxRf7tH1f/D0A56ecf0pRgJYGuX5ZUERElzKDNku7RMbAczCbgo8skQEQ5HUwt0uEdCeZ4ZkA7G/cD0DgdHkOZF27FsnjOeJ1Cgp9yTd1ZkRkmYVQbWeQTft84/B6D9XVcg2JdgfoobjrZSepNlJxMB8v7c54V72vg1mv1xMREYEoitTV+Y5XYd4N+vbPCGB0kIlkg44ap5uNZmsPW91/UBzMpwtrn5ajl0dcCZFDfJp2ljXz9c5KdBoVD56f2e23bnxflr4Ivfwy1MH+6aMlLSWsrliNXq3nyiFXdvv9ewunx8me+j2AXDjicOx5ssaXfsgQv7aTQa+Rfz23SN4UmNL13dKvgkJ3sWXLFgDGjh3rV7G4dU0FiGAaFYUm1Ffv3eV0sGuZvCgbe5G/pI6jzc2+tVUAjJqV5Nfe2xQXF2M0GsnJyQEgLy+PnJycjn/BwcE8/fTTR+3jgw8+YNSoUYwaNYopU6awc6dcWKutrY2cnBx0Oh319adeIDt+SIjfMVOIjvQxsgSJxpthojPJqVqCQQMqAcnhAY90xPQvBYUBzb7F8tehl/o1rcqvQ5RgQmo4xi60INY0yYVepoV2nbrdvpgIDR3XTcb2Lu1V6MPCJvm1ObwRzKYuHF4atXzMc3gEs9YIah14HOBq87tOQWGgYV4sy+sEX3QRqoDONGeP6OGnkp8AmJ0y+5Tu0SmP4S8XBmD3OpgNgQMvSMcQ6I1gbu3awdxTEcwAQ8LkNVlBs5xlqh00CG1SEh6zGfuePd1+PwWF7uCb2magMwIW5KzRZrMc6BYS4pstcTQHs6ufRzCXlJT4rLEAnnnmGUaMGEFWVtYx11fQ/Wus9nfVLi9yKO3vuP2dtxPq/UzM3s8I5AyN9s+w/TM9E1AczKcDLZWw7V1AgLMe9GmSJIl/LNkHwK1TU0kI7d7BxWM2Y14ka4+FXX99l+d8tP8jAC5Ou5gwg3/a10Bhb8NeHB4HsdpYQg2hPm2SJGHPlQsoGg7ToT1Z9F7N2e1ub3XTGmUipNB/sFgs7N+/H0EQGDPGN6JfdHqwbpErggee5V/wct/qFdhbLcSkDSFuyFD/9rWVuBweTNEQldS7lYWPRHp6Ojt27AAgMzOTHTt2sGPHDrZu3YrJZOKKK46uvZiamsrKlSvZtWsXf/nLX7jjjjsAMBqN7Nixg/h4/yjvkyE8PhCd0dfZP+KsBNTeDav24n5qrbxIFVQCqgBvFLPVpTiYFU4/bI1yBpBKAxnn+TX/7JXHODvT37EjShJrmzsjmP3aRQctLTsACAkZmA5mlVqO6DaZUv3a7F4Hc4Daf7mwo0zOcvhp32FOIUEAg3ejy27uRksVFHofSZJo+f47AIIPi17eVruNBnsDCYEJDA8f3tXlx421qRGAgDD/IqMADpv8t9sQMPAkw/Qm2eb2ZzicwPAIAKzN3Z85lRQkz2kqWmXJHkEQCJgmRxpa1yuBOwr9D6vbwyazFRW+dR9stiLc7mZ0umgMBt/Mz+OJYNZE+kt89RcOXWPt2bOH1157jU2bNrFz506++eYb8vPzj3p9d6+xNFHyuzpcIgMgJiYG8Hcwh4TkANBi2YUodm6mne+VOFnRaDkhGwYyA++vlII/G18BjxOGXwbRw3yaVh6oY1NRI2EmLfecnd7tt27+7HMku52AqVPRp/v3b3PZ+Lrga0CWxxjIbKySNXWG6P0jlF3l5YgtLagjI9FE+xfnOBl0XofQXneC/JtalweiCF1EEiko9Dbbt29HFEWGDRtG8GGZC2276pAcHnTJQejifaP+JEli+3dyNOGYi+b4pZSKosSu5bJ2c0SmfzThC3f93J2P0cG9L/vrsh4Py5YtIz09nUGDBh31vClTOtPZJk2aRHl5+Und71ioVAJxg0Mo2S2npwsqyJreORH1uGQNRPUhEefqAC2ixYnYqjiYFU5DDi4HyQMpZ4HRd5NbkiTWFshRLTMzoynPLfVp32+10+jyEK/Xkmr0T01vsexBFB2YTIPR6bp2DPV3RI8coaPtwv52iQxTFw5mh0v0O9aBIRSsddDWDEH+C14FhYGCY98+XCWlqCMiMI333UT6seRHAM5LOe+Ui2S1O1e70l8GsHuds3rTAIxg9trssLmRJMnvXQWEyM/cEw7mxEA5yKHdwQxgGjOW5o8W0rZzV7ffT0HhVFnX3IpLkhgTbCLsEHkMs3krIEfKHv47dCQHsyRJeJraa674ZpN2Rfnve0abPPGf04/73H379jFp0qQOLekZM2bw5Zdf8tBD/hKw7XT3GksT7i2A7n13h3KkCGatNgyTKR2brRCLJbfD4Tw6yESQWkVhm4PSNgfJRv0p2TYQUDxVAx2X3Ru9DEz+lU+TJEk8u0ze8blrRjrBhu6dlEgeD00fyPIYYQtu6PKc74q/w+KyMCpqFEPD/SMVBxKbqjcBkGHM8Guz790LgCFreLdVYm0vxGgmEDEgGlw2MJce4yoFhZ5HFEW2bpUnOuPG+UftWTfJf3QDJsT5tZXt3U19aTGmkNAOPeBDKdldj6XBTnCUkaDuCertURYuXMj8+Se2efbGG29w4YUX9pBFEH9Iob/4waGYDikK5HbJu+oabecxlTe6SLS5iIuTP7O6ujo8ij6hwulAoXdTKt2/wHB+bSv1rU5igvWkR/lX+F7j1V+eGhbY5d/25mZZJmigymMAOJxyar5eJ2+Of1HTxDsV9XxZ00Sz14fsliTK7U5a3J6OQjU5yaEAZCeF+ndq9B6zN/ec4QoKvUDLUm/08vnnIRyiRS5JEivL5IJbs5NPTR4DwGZuBsAUEtplu8Mmbw63RwMPJNRaFRqdCkmUcDn85xXtz9z+DrqTxCDZwVxu6XQ4GbNHAdC2a5dS0Fih37HSO++YcVjWlLlDHsM3a9Rms2Gz2dDpdISE+MrkiTY3kktE0KtRDZCC6SNGjGDVqlU0NDRgs9lYsmTJCQW9dMcaSx0qO4E9ZodfW3S0nO3WleRG+2fTvhkAcr2K6d7PcpVXcu10Z2D8pCkcmb1fQFsjxGVDou8CZ11hA9tKmwkzablh0tGj606G1pWrcFVWok1OJvCss7o85+M8ueryNZnXdPv9exO7286O2h0ICF1GMLc7mI3dJI8B+Ex6xMihqKy1ULsfwlK67R4KCidDaWkpZrOZ0NBQUlN906qdVVacpRYEgxrjqEi/a3f9tBSA7NkXotH6b3rtXV0JyLIOZuGgX/vJRhr3BE6nk6+//ponnnjiuK9Zvnw5b7zxBmvWrOkxuw4t9DfiLN80OnurPHE1BHZGlgtaea9ZcosdE1Sz2UxTUxORkf6foYLCgEGSoHC5/H26/9ixzhu9PCU9sksH8tpmeTEw9Qj6y+YOB/P47rC2T3A4ZDkjvV5O+9xqtvJGhfxeznd6wAA/N1oYt16WAfssJ51pYUFovNlUscFdROPovQtjx5mTEqpw+iHLY8j1IoIuuMCnrbilmEprJaH6UIZHnJo8Bhw7gtkxgCOYQbbb7XTgsLnRHeboan9ma3Nzt983yhiFRqWhwd5Am7sNo8aINikJdVgYnoYGXBUV6BL9pdwUFPqKlV4phRnhvg7mFosslRkcPMrneEODnLEYHh7uN4/xNMsO0naH6bE4kUjjnmLYsGE8/PDDzJ49m8DAQLKzs/3q/ByJ7lpjqYN0oALR4kJyiwiazpjc4OBg1Go1VqsVu92OwdAZGR4SnENV1adYLHt9+jsrPIgl9WZWNlq4IT7ilGwbCCgRzAOdTa/KXyfcIeveHcIz3ujl26enEaDv/r2E5o9l53HYNVd3WfF4T/0echtyCdGHcH7K+d1+/95ke+12XKKLoeFDCVD7Rzl1RjB3n4PZ7S2co1EJaGK80if1B7qtfwWFk2Wv9+d9xIgRqA773bdukovzmUZHo9KpfdraLC0UbF4PgsCIs/0jfloa2ijZ24BKIzB0cv9Pq166dCljxozp0OM6Frt27eL2229n0aJFRET03AQjPKFzjEo5zMnf6WA+ZOKqbncwy2NOu1O5O4oOKij0KfX50FIBpkiIGeHXvK5QXphNTvP/fZQkic3eqt+Tu3AwS5KE2au/HHpYwZ2BgtttxeNpRaXSodHIkU+HLmrbBN/xPdWo63C2u0U5vFnTlWyX2ruY9XRd1EtBYSDgKinBVVqKOjQU01jf3/F1lesAmBw3GbVK3dXlJ0R79G5AFxHMbpcHj0tEpRbQ6Abm0r1Th9nl19aTEcxqlZr4ADkdrsoqz08FQcAwaiQAbd5iYAoK/YEah4t8m4MAtYqxwZ1zeVF0Y7PJhSoDAzN9rmlslPXbu1pXtDuYNcfpYO4v3HbbbWzbto1Vq1YRHh7OkCH+wX2H051rLEEloA7uOopZpVIRHi5LirW/+3baP5tWa57P8ZneedXaZssZkTUxMP9KKciUb4XK7bKm4IgrfZo2HGxgU1EjwQYNN07u/uhlV2UlratXI2i1hByhuNUneZ8AcHn65ejVA2tgO5x2eYyJcRP92iSPh7ZduwEwjBjZbfd0uOXFm16jghBvFKKl+ihXKCj0PB6Pp8PBnHXYhorkFmnbKadbB4z3dxDvW7MSj9tNyqjRXVZK37e2CiRIHx2NMdBf77S/8dFHH/nJYzz//PM8//zzfueWlpYyd+5c3nvvPTIy/GV2uhNbc2e1eVF0Ih4idWG3+DuYBY13c9IjjzlRUXKqfF1dXY/aqaDQ43TIY5ztV7/AI0psLJIXB5PT/RcjhW0OGl0eonUakg3+41FbWwkuVyNabQQGw8CMgHM65QJ9Ol1MR+TTlNBA2ocE+2GBCzfEd0Z6e9o3wdVdyIKpvUENHn9nkoLCQKF1nexEDpgy2UceA2BtxVoApiZM7ZZ7dUhkdBHB3Bm9rOk2Gb7epsPBbPUv9GcKDQXkKO6ecL6EG2RnUPMhkj1G73rNsW9ft99PQeFk2d4i10QYHWRCq+r8XW9rK0EUnRgMCWg0vpHNh0YwH067c/R4I5j7C7W18tyktLSUL774omOt1ZtrrPZ35m72l8k4koM5IEB2hFutBxHFzvnPIIOOSK2GRpeHEvvpv/GuSGQMZHZ+KH/NuR60Rp+mV1YWAnDrtFSCull7GeTifogiQRdcgKaLAa3F2cLSIjkVfl7mvG6/f2+zoXIDABNiJ+Ap8NUPcxQUILa2ok1IQBvj7zQ7WRwu+T56rRoCvc46S1W39a+gcDIUFxdjs9mIiIjwKyZh/3/2zjtMrqu8/587vW3vRVpJK2nVtWqWrOJu44KxjU0xAYOBQEJJSMNJCCmkQPILBAKGGAgBY8AGdxsZ4yZLliXL6mXVpdX2Ntumt3t/f5y5szt776rtbJnV/TyPnlndc+89Z9qZc77nPd/3VD9yMI6lzKVJ7gdweItIiKMXvSwnZBq2C3uMxZumvvlyMBjklVde4ZFHHkk7fuzYMTZs0E44v/a1r+H1evnc5z4HgMViYffu3ePStv4uMUAtqnJz6LXfs+XnP8aZk4srL59wQGz5f/e5J/EUFlM+dz5Kgxichk/146ovNSKYDaYPZ4VHKnOu1xQdbR9kIBSjusDJjEJtdvVdyejlNXluXVFHjV7Oy1uRtaJPJCImcXb70NjFYzGzKtfNOwOBtAhmqyTxwfIh8SuWEEKQ2aQnMCcFeUNgNshiAttVgXl92vFoIsruTvH7vb5yvea6yyGU3F3kHJE0GSAWFvMBa5Z4qOqh2mLoeTBbbXasdgexSJhYOJTxuvMd+QD0RYaSCNpr5wAQOduY8foMDC6X/b6kwJybPiZRI2I97jrNNarIqScwx7NUYL733nvxer1YrVYefvhhCgrE2GMi51jmvGQEs47ArEZIq+K+isXiweGoJhxuIRhqxJMUnCVJYkWui1e8g+wbDDJrmif6y95fqiudRAyOPCP+Xpbub3y2J8Abx7uxWUw8cPWsjFetxOP0P/kkAPkf/KDuOS+deYlwIsza8rXU5GY+gnoi6Q33csR7BJvJxqqyVew6tSutPLRXmO47V6zIaL3h4RHMahZ2f2dG6zAwuFQaGoQP5+LFizWiihq97Fpeormu88wpuhvP4PDkULt6naa88ZCX4ECUgnJXmofwVMXlcmkGFiAE+G9961ua4z/+8Y/58Y9/PBFNo7ddCGOF5W6q6haCohAaHCA0OJA6Z/eL4vfjzj//G1xJa4xYmxCf1SQhPp/hn2qQxSgKNInFYWq0ItDuRjEpu2q2dlIGpOwxrsrT2mIBDA7sB4TnXrYy0n9Z5ZqCHN4ZCBAeJjDfVpJHiW0oYCGUXAR3WnXsAUJJISfUqy0zMMgClHic4DvvAFqB+WD3QULxEPMK5lHi0o53LoeIX/z+OtzaxXlVlLU5xm7FMVlY7aLtegIzgN3jIRYJpxbBM0m+PR9Ij2C2JfOHRM+ezXh9BgaXixrBXD9SYPYLgdnt0QrMfX3i91ZPYJZ9IlrWnAW7Qoezbds23eMTOccy54jXTPZrF8rV11p97Yfj8dQRDrcQ8B9PCcwA9TlCYN4/GOSeMn2v/emCYZGRrZx+A4JeKFkA5em2DD97uxGAu+srKXRnvkPxb91KvKsLW00NrrVX6Z7z9KmnAbhnnr59Rjaxo20HCgqrylbhsmqjnIL79gHgXFGf0Xp7/eJHId9lGxKYDYsMg0lEURROnhTe7gsXLkwviyUIJSNhXcu0E64jb74mrtt0nW5yv2M7RHT+wg2VUy4a0Gw2MzAwQH19/QXPffHFF7HZLr7fDYVC1NfXE4vFNH7Wl4u3RUzQiqo9lMyag8Wuv1KeW1LG3DXrMCUHUfY5+QB4kgkA/f4rI9uxwTTFe0oInJ4y3eS4+5r7AVg5U3+g/+6wCGY9BgbFb39uXv2YmzpZhCOi37Xb03ejqD7MwyOYHxiRmMYfFlvdPXo5PlRrkv2/zFRTDQwmlNChQ8h+P7bZs7FWpu+q2t+9H4CVpSszUpccjxOPRTGZLVhs2t9rVZRVRdps5EICs8Ml+tlIIJDxugvsoo/vj/SnjtlqRPBTtLkZJa617TAwmGgURRmKYM5J1xuCAbEzfbhgqTI4OAgMBYcMRw4IcdTknrrJQafqHEt9zRIBrcCcm9xpoheI43YLi45A4FTacTUqfV/yPZ7OGBHM2cqh34jHpfelJffzhWM8uacFgE+snz0uVfc/JcTj/A9+QFcIOt57nAZvAzm2HG6ceeO4tGEiuZDPWmivmGS6Vo59oCnLCqbkdtMev9iSUeyxgTsp2AW1EZMGBhNFd3c3g4ODuN1uTWK78PE+lEgCa7UHS3G6ZY8sJzixU2T0XbTpBs19w/4Y5w57kSSYf9XFJcybSGbMmEFzc/O43NvpdLJ///6M3rNnmMBstlioqJ1Pc8MhzXkrb7sTk8mMfXYuoYM92KqFsGwIzAbTAjV6ecZaTRJkgL1NIvJET2DujcU5FYzgNEks9WgXlhOJMH7/McBEbk7mci9MNOFwKwAOR7qAVp/jItdiIiCLCVmV3cr6EYkOA5HzCMwqDu2E18AgGwjtF8nfXKtXa8oOdImy+tL6jNSViIrxvsPj0Z1XXQkCsz0ZuT0uEcxJi4zhArPJ5cJSXk68o4NYa2tKcDYwmCyawlEG4glKbBYq7OmCcCgstB2nc2bacVmWU2N1dew+HFUcNXmmrsBcXV09JedY5uRrJvu1nsk5OWIRXk9gdjpnAEPjKxU1Kv2QL4isKJimWDBVJjEE5mwkGoRjvxV/L7kvrejJPS34I3HWzi5kUaXWx2usxHt78b/5JphM5N55p+45T58UAvQds+/AYXFkvA0TiazIbG8TAvPGqo2a8lhXF7GWFkwuF/aLyHB6Ia79zzcAqMxzEktmaPdH4mxr9LMJUOJhpm93ZDDVOX1arKDX1tZqVoKDh4Rfr170cuvRIwT6+8grK6dszlxN+cndncgJhZmLCnHnTW9fqvEmEZPp7wiCBEVJH+yqBYs0ArPN6WTJ9bcAoCQtMiSLeE/dbuE5GwwGSSQSmM3ZO6k1uIJpHiYwj6DbF6G5N4TLZqauPEdTfjAZYbJ0RKIdFb//KIoSx+2eh8WindRlC+oEyOmoSjtuMUlszM/hlW4hwt9fUaiZDPmTArNbT2Be9iE4+AQsv19bZmCQBYQPHQTAuXxZ2nFFUTjQnRSYS+ozUlciEgbA7tLfLTG9BGb9aGG7e/wimJ0WEfQQiqf7O9tmziTe0UG0pcUQmA0mndNBsdA03+XQLDQNLQan/1YHAgEURcHlcmGxaH+LVXsH8xSOYJ6qqBHMsk4E83kF5mTS59AIgbnQaqHYaqEnFqc9EqNKJ3n0dMGwyMhGGt+CWAAq6qFwKEpZURR++U4TAJ9YP2tcqh588bcQj+PeuAFrqTahXSQR4cUzLwLw/nnvH5c2TCTHeo/RG+6l3F3OnLw5mvLgO8KP2blqFZJOx36pLCzPpbk3xDtne9l7rh+AfU39PPCoGMxK8bDwlTQwmASGC8zDUWSF8AkhRDgWFWmuO75DRC/XXb1Jf9fDO8L6Zf7ack2ZwaXR2xFAlhXyS12pCV1l3SLNeUtvuAW7KxmZmRCLWSQFZpPJhCtZFhiHyZ6BwYTQnMyXMFPr+b4vGb28vDpfN0ndgUEhRCzPcWrKAAZ9hwGyOnoZRp+0AqzNdxNLWmQ8UFmEMmLsoQrMHr3EY4lkxI/ZmNQaZCehQ+I77lia/h1v8jXRF+mjyFFElUf7vbkc4hEhLKki60hUUdZqy2KBOekfHQ2f3yJjPCKYrSbRD8XldHHbkkxonNDJp2FgMNGcCYl+oNaVHmgTjweIxXoxmWzYbMVpZarAqQqeI8kGi4ypyvksMlwuFyaTiVAoRCyWXq7uCBsZwQxD7+3ZkDZx4HTCiGDORk7+XjzOuyXt8MGWAU52+Sly27hp0fhsMx949lkA8u/R91Z+o+kNBqODLCxcyMKihbrnZBPbWoTJ/IbKDbrCWOAdESHlXqeNkLocllXn8fsGbSI/BRNxyYpFiYmJm8WI8jSYWOLxOI2NjYBWYI42+1BCcSxFDqwj7TESCU68I3YB1F29SXPf/s4gnWcHsdrNzKnPTLKcK5me5qQ9RtVQVGXl/AXCIiAlEEmsuPV9qXIlJgRmyTzUx9lsNgKBgGbgZGCQFYQHoecEmG1QvkxTnPJfrsnXvVz1QVyeo7XHAPAlBeacnMVjb+skoSgK4XAboC8w17nEDjSXyUSp3UZfIMr6b7xOrtNCvtNGl09EXT6zt4WTnT4K3DY+e02tEOwTyX7DEJgNspB4Xx+x5mYkhwP7iPGOGr28vGR5xvJFqBYZo0Uwx6PiN9qSxQKzJZkMNJ4cb4zElnzu0WAAXJm11rGZRaRgNJG+1d1cLAIi4j2GwGww+agRzHOc6XN8Vai02yuRpPTY0PMJzEosIcb3Zgkpi3c/TBZq1Lcc1O66MJlMeDweBgcH8fv9FBQMWa2pAnMk0o4sxzGZhuTWOS477wwEOB2MsLFAf1FgOmBEMGcbigKnXhF/jxCYn9or/Hnuqq/Cas78Wxs+cYJwQwOm3Fw8N2h9VAGeP/28aMPcuzJe/2SwpXkLANdWX6tbrkYwu67KlMCcr3vcaTULcRmgf3x8igwMzkdnZyfxeJzi4mKNz1f4WC8AjjptBuPmhkOEBgcoqKiipEbrC3/iXbGgUruiJKu3f04VOhtFso/SmqGBi93lpnjG0PbP6kWLySsdWoRUB08m15AYpG61SyT0o40MDKY0nUfEY8kCsGi3IR5uHQBgaVW+7uUHLlpgXjLGhk4e8fgAiUQAs9mNxaIVdKxJ8WymU7x+BW4bc0rcdA5GON7poy8oxiQ7zvTyo21n2d3YNxQNnhKYp+8WUIPpS/iw6D8cixdrdiee6D0BwKIi7c6gy0VOJpnTS/AHkIgLUdZszd5pu9p29bmMxJpMRhyLav1Ox4oawRyV0+9tKRLRoHFvT8brNDC4VM6oArNLX2AeaWUFQ7sM3Tq7H+TkbgGTwzLlkqdnA1Jy14US1rf1GS1fjclkx24rQ1ESRKNdaWXq4oH6Xk9XsveX6krFewr6GsFZCFVDSeUi8QTP7ReRKPetqh6Xqgeeew6A3Ntuw2TXDoJ6Qj283fY2FsnCbbNvG5c2TCTdwW4Oew9jN9tZV6ndYhttaSXW3IwpJwfHosxEay+r1l+1//BVM4b+oxiCj8HE09IiFrCqqrQDnJTAvEArMJ96V0T5z1+nvwvg9F7x4zt3zdRL7qfS2NiI0+lMZTg+fvw49fX1qX+5ubl8+9vfPu89nnvuOZYtW0Z9fT2rV6/mrbeEbYia4dhms9HTM/ZJTudZIZyVz0nvSyrnL0j9veZ96d79iaB2C50qMMeN7OoG2UhH0nNcJ3pZURQa2sRCzGKdXBVdkRhtkRges0mzVRVEgr9A4CRgIicncyLTRBMKicVqh6NKt2/uionv/rxhr8H6Wq0FksrH1g3zMDUsMgyymMjpUwA46uZryk72nwRgXsHY866oKMnfWavO3AqGCcyW7J22my2ij5FHiWBWxfX4OAjM+7pEMvaXG19OrzMZwZwwIpgNpgCNSduE2SMimKMx8fm02bW7PMNhsZPI6dTaeSlJ7/apHr187ty5tDkWwHe+8x2WLFnC4sWLLzi/gvGZY5mSr5s8SmJSh0Ps8opEtGKxzS4Wr6LR9DrnXCEWGdn7S3Wlcuo18Vh7A5iGOozXj3YxEIqxsCJ3XJL7IcsMbn4JgLy73qd7yuYzm0koCTZWb6TQoRWaso03W94EYF3FulSCiOEE33kHANdVVyFlKAlWvstGTVF6xJRZgk9vGub/nDc+CwgGBuejtVWsoFdXp3/+Er4osfYAktWEfXa6qKkoCmf2vgvAnJVXae7Z2x6gty2A3WWhekGBpnwqUVtbm8pEXFdXx/79+9m/fz979uzB5XJxzyi2QSo33ngjBw4cYP/+/fzkJz/h05/+NDCU4biysnLMbYxFEnhb/EgmiZKa9K1XhZVikcpkNlNVUkekcYB4bxg5lkh5tJndQ5Fa7e3tAPT29o65XQYGE06nKjBrPZK7fRG8gSg5DgvVBdrf9gOpBH9O3Szffv8xFCWB212L2awf4ZwNhELnAHC5ZumWt0VEv1A+LJv9+tpi3XOrC5xcM3/Y5DciBHzsmd3qbmAwEUSTdmC2WdpdVyf7kgJzfuYEZjkuvmujRTCrthKqSJuNqOL4aBHMFpvY7RCPZl54GWmNkWpTclt7YmAg43UaGFwqXVGx0DT8NxcgFusHwGrVzpNUgdmuszglR5MRzFlgrTN8jnX48GF+9KMfsWvXLg4cOMCLL77IyZMnz3v9uMyxLCahlCYUFJ1+SxWY1fdgOFaLeK9isb6042U28d52R6d38I7hwZxtNO0Qj7OvSTusRi/fuzIzCSdGYj1zlnh7O5aKCpzDVpiGoyb3u3POnePShonmzWYhMF87Q98eI7BDvBfutZmxx1BZVp3POW8w9f97VlZTlecYOkFH7DYwGG9UgXlkBHMkGTFrm5WLNGL7Zm9rM4PdnThz8yifq52MndknopdnLy/GfJG2Pt/80Hsvue0Xw1888eJlXffaa69RW1tLzQUykA+3FQkEAuOyXa2rcRBFgZIZHk0yIDV5UH55JZFT/Qz+rjH9Ygm8vziGOdeGc9mQUNTe3s6SJdlrA2BwhdIxusB8pF2In4sqcnW/h0cDYrKw1DOKPYa/AYAcT/b6LwMEkwKz06nfdzWHhSgz0zE0cV0zuxCzSSIhpyf8+4O1NenJEsNJwcZhCMwG2Ue0UXw3bLNnpR3vD/fTHerGaXFSlZO5+ZZ8gQhmeTpYZKQEZv1E5SmLjEgk4+LE8pLlPHXyKdaUr0k7LiUFfWUcRG0Dg0shEE8QkmUcJgnPiPlQSmDWsbJSo2dVsXM4lxPB/I//+I8Xfe6lcCn3PXr0KOvWrUslG7/22mt55pln+PKXvzzqNeMxx5IkCclmRgknUKIJpBE7SFRRX09gtljFe6W+dyolNtG7dU/z/DbZ+0t1pdIiogGZMRQNGI4lePNENwC3L60Yl2odu3cDwh5DMmk/Nif6TnC09yg5tpxRBdlsIhQPsaNdCMh6/stKIkEguf3CvXFDRuteVpX+A/JH186BeHLwY7aDzutvYDCehEIhvF4vZrOZsrJ0K4to0vPXXqPdOaFGL8+uX4XJpB3gnNor+q3alaWZbvKE8fjjj3P//fdf1LnPPPMMCxYs4I477uAnP/lJxtvSkRT7y2Zr34uwXyQCqV64BPtMncQSirA6CezqwJwzFD2Rn5+f8XYaGIwrcgI6hQhMmVYEVu0xRtvtddQfAmCBRzthA/D7jwPgyVmgW54thIKNALhGE5hDQmCe4RjyUfbYLSwfYeVlM5v44OoRO6tC/eLREJgNspBUBPOIhWPVHmNu/lxMUubG4qkI5tEsMmJClM1ui4wLRDAnn3tcZ7v5WLEkk2yVudLHrya76NvkcbDlMDC4FHqSllRFVq1fshoFe74IZj2BWY1gnuoWGSNZsmQJW7duxev1EgwG2bx5M83NF84/NR5zrJRNRlRrk3HeCGarfgRzsVX0Rd5oHEXRX2ybDhgRzNnEQCsMtooth8V1qcNbT3QTiiVYVp1HZX7mo1uVRAL73r0A5N5+u+45avTyrbNuxW7WHyBlEzvadhBJRFhctJhSl1b8Ch8+TKK/H2tVFbbZ2i10Y2G4D3NNkYu5pTlDkzWL/oTXwGA8UX2rSkpKMI+wg0lFMM/WCgnns8fo7wzibfFjc5iZoePdPBqXG2k8HkSjUZ5//nm+/vWvX9T599xzD/fccw9bt27lq1/9Kq+++mpG29NxWt9/GcDb0gRA8YyZWKtzQAJ0xjaOBYVYy9xUVlbS1taWEesOA4MJpb8JEhHIqQRnvqb4aDKCeWGFvsDckIxgXujWH0/5/ccA8LizW2C+2AjmGc70RH3ra4vZ29Sf+v/tS8spMgUgHAF7cvHKiGA2yFLkUIh4RwdYrVhH/P6dGxTfmdl5mR33y4lkkj+rvmd5IiFEWdM4JHCfKExJe4/RLTJUD+bMC8wxWQj4arI/FSlpy6FEDIHZYHJRLRNKbNo+YMgiI19Tdj6LDDWC2WS7+H5jvCKYL4WFCxfy0EMPcfPNN+PxeFi+fHkqL8z5GI85lpTcDaro+DCfX2DOByAWS7ffcVvMOE0mQrJMICHjsWSX+H+xZO8v1ZWIGr1cvSotivXlI50AvGdx+bhUG3z3XcyDg1hnzsSxWJvQRlEUfnf2dwDcMeeOcWnDRPPqOdEp3TjzRt1y/9ZtALiv2ZTxre5LhkUw37syGRUUSq6AOcbBX9vA4AKoAnNxcbr/phyOE+sIgFnCNiM9KjYSDNB6vAGT2cys5Ss09zxzQEQvz1pWnLXbPl966SVWrlypieq+ENdccw2nT5/OSFI/FTkh03ayH4DKefma8s7TIvKqdFYtJpsZa7k24zRAzjVi26+a3G/kgoKBwZSn97R4LKrVLT7VJTJ+zy/TRvLHFDgdDCMBdW6dLaeKQiCQjGD2ZLfAfD4PZkVRUgJz9Qg/yJGJ/j52dQ3s/wV8Ywb8Syl8ayHIMZBM8MKfwO/+Fk5mdjHNwGC8iHeKOZW1rAxphKjR5hd2hFWezNoRKknLGb2dXunlGa12QpGSFjqjRe2pz12R9QXosRBL6AvMiUGx2Bg+dCjjdRoYXAreYRHMI0nExZjFYtEZsyStFmw2m6aMRPK7loU7Hz71qU+xd+9etm7dSmFhIfPmXbznfSbnWKothpLQ9lvW5IKgXjJ0qyU3WTaoKStKitZq1Pp05LI/cZIk/Z8kSUZo00TSKmwqqB6KBownZF47pgrMlyZyXCxqcr/c22/TFVMPdB+gPdBOmauMFaVaISnbiCVibGnZAsBNNTfpnuPfJgRmz6ZrdMvHgttuSXkZ3rk4Kej5xXuMZ3ze42zA6HMmD69XZDAuKkoXFqJNPlDAVuXRJJFoPdaAIsuU187H7tKKmecOiXvOWqafNCob+NWvfqWxx/je977H9773Pc25p06dSk2s9u7dSzQa1byeY6G7yU80nCCvxElOYbowFouE6WlpQjKZKJ0tEobadGwyrNWeVCS6OmC6mKiB6YzR72Qh3tEFZllWONsTAGBOibZfasNEXBFZ3F060YKRSDvxuA+rtRCbLXv7rnjcRzTag8lkw27Xjiu8MeEH6UYmb8SEd2VNQWqMku+ysnJmAdQkrcISUfCJBKEoMhx8AnY+DOYrux+5VIx+Z/KIJ8c7Fp3f57aAEJgrPZl9axRFiKqjJQxPabLjkLtholATpiqj6MempHouy9pIwbESTogIQ5s5XYSTdSIPr2SMfmfyCCV3KeiNO2RFLPaaTDqJ/JILMiad1Sd1YUoyZV+/0dUlcvQ0NTXx9NNPp+ZaEz7HUl87WSswqwE4iYS2z5JMSfsdReu17E5ep77n05GxjPieBJ6TJOlV4OuKomgleoPM0i2iZoZ7Cu5t6qc/GGNOsVtYKWQYJZHA99prAOTeeqvuOS+dFQL0rbNuzagn2WSxq2MXvqiPuflzdbfBST4f4UOHkKxW3Osym+APoHMwTEJWyJFC1PxPLeRWgC05EQ4PwP5fQv7M0Udp0xejz5kkRotgjrYIX9+R0csAzQ0iImTGYm2SrUgwRvvpASSTxMxFF2+PMZUIBoO88sorPPLII2nHjx07xoYNWl/2p556ikcffRSr1YrT6eSJJ57I6O6H1hNil0NVndajravxLIosUzJzFla7EJ9tM3MJvNORdl7ONdWpNqlREVe6wIzR72QfqsBcqBWYW/tDROIyJTl2ch3arahNiIH/wlH9l5P2GJ4F45Koc6IIBM8A4HLORpK0olZTSGxTL0Enc7rVTGmOnfaBMFfNKhSvQ/kysHkg6tdWVrIAZmd/bo4Jxuh3Jol4jxCYzcXaBaTximDmPCIRDEX9mrJQKFJRp4ejRTBLKYE583ObgYjYpp5rT98FajFyTIzE6HcmiUhSwLTrfMflpMWLZNKOWVRxU3e3oSqKZmG/ce+99+L1erFarTz88MMUFIi5zUTPsVI7L3QEZtN5+iyTZE1epxWY7cl2RaexB/Nlq4GKovwWWAucAd6SJOmLkiRldCYqSdKtkiQdlyTplCRJf61TLkmS9N/J8oOSJK3MZP1TDlVgLhnyX95+Sgg/18wvGZcqQwcOkPB6iRcXYa+r05Qn5AQvN74MwG2zbxuXNkw0r5x7BRg9etl+pAEUBdeaNZhc+lnmx8L+5n4AluX4MZGAwRboSb733pPw7B/DEx/LeL1TnYnoc8Dod/QYLYI51i4iAa2VHs01zUeEwFy9SCswNx/tQ5EVKmrzsLv0PQenOi6XC6/XS15eusdoY2Mj9957r+b8hx56iCNHjrB//3527NjBxo0bM9qeluNCYK7WEZg7T58AoKx2aIvZyAhmU44NZ3LHhKIoBINBgFQW5ysVo9/JQs5jkXFGjV4u1reIaUsKzPNdFxKYK8hydAAAxNxJREFUteOhbCIYOAWAyz2KjUhSYC7XEZgBchziK3DjwmSOCrMFZoyy4L72s1kdeTkZGP3O5BH3inmVpVC7+N3qbwXGI4JZjTQcRWBWxY1s/hpdIIJZfe7jYZGhCsz59vz0guQCumP5sozXmY0Y/c7kEU1+MRx6kchqBLOknS+p4qaewJzNEczbtm2joaGBAwcOcOONQ3alEz7HuswIZlNyMUCNPh+OPfkeR6ZxBPOYwk0VsafnNeDbwD8ARyVJuicD7UISIRUPA7cBi4D7JUkaaQB8GzAv+e8zwA8yUfeUJBYSiWtMFiickzr89mkxEBrpiZcpfK8I37zI8nrdlaDdnbvxhr3MyJnBoiKtP3O2kZATvNH8BgA3zRxFYD6wHwDPDTeMSxt2nhFi3qoKHT8llas/NxQOcAUxnn0OGP3OaPh8IlJ5pJiaEpgr0sWaSDBA19nTmMxmquYv1Nzv3CHRb9UsGZ9+K9OYzWYGBgaor6+/4LkvvviivhfaKIRCIerr64nFYqNGL12IRFym/VQ/AJXz8zXlHUn/5fJhArOlyAmOoQFpfLmbQCiAoiiEw2ESiQQ2m+2Snst0xeh3sozes+Jx2FhJ5XTSf3lOiXZRDIRFBsBcl36y4kBAiNdu98X7AU5FUs/DNVe3/ExQCMyVowjM6lyrdvjrWLNee6IjD5Z96PIbegVj9DuTQ8LbC4C5OH18EpfjdAe7kZB0k3+PBdUiY/QIZvGYzbsmYmEhwnScGdAtjwTFeLL9xLGx1yXHkIcp2f2RfkArMKvJ/Uy27E9OnymMfmdyUCOYbeeJYNazyFDFTd2+I5EdEcxTeY4VaxNjxsSgVihWA3Ha2tq01yW9lwcHD2jKGgIhcV1EG908XbjsVank9okFiFWuXcDngOPAFyRJulZRlC+NsW1XAacURTmTrO9x4C6gYdg5dwGPKmLpd6ckSfmSJFUoitI+xrqnHj0nAQUKZoNZrIoEo3H2NfVjkmDtnMwLNYqipOwxIvXLdc/5XaNI7nfbbH1/5mxjT+ceesO9zMiZwfyC+ZpyORwWEcxAzo3jIzDvOC0E5vULquGczgn2XFjzh/DO/nGpf6oyAX0OGP2Ohng8TjgcRpIknE5n6rgcTRD3hsAkYS1Nj3JtPdaAoshU1C7E6kiPBFRkhXNHxGc8WwTmGTNm0NzcPC73djqd7N+/f0z3aD89QDwqU1Dhxp2nHYC2nTgKQHntUJ8mmSRsFW6iZ8UgaHf4OAf/80ksFgsejxCNJEli69at5OXlMWvWLM0Cw5WA0e9kGYoCg8nBfl61plj1X67V8V8GaE9GMM8ZJYI5EBSRv26XfuRvthAIqkL5KBHMQeFNWoG+H2pfQEy2qgqGfhNSPszDWfGxIYsvg4vG6HcmD9kvFtTNOel2CgORARQU8ux5mmRxY6/0AhHMqQjnzFY7kQx0h85b3tMsJjzhgI7NziVypOcID/7uQQqdhZQ6S2nxtwCwrXUbwViQGTkzuKriKpSY6MckuyEwg9HvTCbRZB9g1RGDlaSPr14w+XTwYK6urp6ycywlJl7faIsP17J0t4CWFtGvqH7Rw/H5DgMQDJ7VlAWSkctv9/u5u0y763Q6cEGBWZKkF4D7FUUZ2eP/JXBIUZSRo88/lCRp7MuPUAUM/7S1ILZtXOicKkDTAUmS9BnEKhhlZWVs2bLlvJX7/f4LnjMRqO0o6XqLxUAPhRxOtutgd5y4rDA7z8S+d7ZnvG5zayvFTU3IOR76dF4zWZH5XYsQmIu6iybk9Rrv9+Vx7+MALJQW8uabb2rK7QcOkB+NEqupYfvx43D8eEbrH4woHOsIYjOBLxhjS90/AbD67PfxRDvZM/Mz+EpWwjv7p9xnNFNMYp8DRr+jaUc4mQTFarWydevW1Dn2fpihmIl4ZN58a2va9a07RRJM2Z2jeT6hPoWQT8HqgoMn3kU6OfrAR21HXl5eKop6okkkEpNWN4jXf8uWLef9bHTsSw4w8wKacyK+AQa6OjHb7DQ0NnG0qSVV5rLHqcROID+B3emgLmmDFAwG6e/vx2Qy0draSmtrKz09PZjN5in5Gc0ERr9z/nMmgky0wxLzszEeIm528NaOPZryA6dFfzbQdoYtW5rSymQF2pU8kKB9zy4GRnRNiiIjK2I3wL59HUjS2Np6Psb7PUnIwsKooaGPo0e19RxUcgAz+SFtO4IxBW8gis0ER/fu5HgquECBuq+xsO03lPkOcaz8bjos10IGnsd0+owOZ7r0O5fa58DUfU9zzjbiAk41nePQsOMdMZGzwJ6wZ7zdsWRS3ZMnTzLg0N67s1P8xh87eoyOcGbnHcMZz/ekv3Foi7leHR2dnRlrh4LCZzyfEcJ8BH4d+zUA9jY7nZ2dxBwxgu4g9r17yQe8Ph9ndOqbCp/R8WiD0e9c+LzxRK8NZxU74KSpuYUtLSfTyhKyGLfs2rUTSUoXYgMBsWj+7rvvkpOTbn2Xd06iBBMtLS3s36IVcKfCHAsmd56lzrFA/32Zmww6aOxspn/EmHFgYGg3hkYjkwOjlkE+AKG2Fra0n04rmQqfz0y042IimG8HXIAfQJKkJ4DPKYqyP/l/E+AZYQR/+2W3aAg91WGkAcrFnCMOKsoPgR8CrF69WrnuuuvOW/mWLVu40DkTQaodOxqgAYrnLEu1a+dLx4DTvKd+NtddtyDjdff84Ad0AwXveQ/dubma1+PdjnfxN/mpya3h/pvvn5AI5vF8X2JyjL/79d8B8NnrPqsbwdz2+1cYACrvuZtl49COFw60AftYW1vMzTeuhe/9NfScSJWvavs5fOghcBdPvc9o5pisPgeMfkfTjtbWVnbu3ElhYWFa2wLvdtDHSfJrS6kd0f88uV3sfLjqhpuYd1X6tun9rzZxhlPULi/n+uvPb6ujtuPo0aOagdNE4fP5Jq1uAIfDwYoVK8772fjllp1AkE23rdAk+Tvy5mscBmYtq+f6EbY+3sePEaKb0oXVOJfa+MlPfpJWHgqFOH78OMuWLUt5oE3Fz2iGMPqdSSYj7ehsgO1gyZ+he69/2/cm4Oc9G9ewpCo9Ir85HCW2o4FSm4XbN2ivDYfb2P52BKu1iGs2vXds7bwA4/meyHKELW/2oCgmrrnmg5jN6dF7sqLQtfUgyAq1TrumHfub++G17dSW5XLD9ZvSb/7Tb4JPiNcLrO0suPGWjLR5Wn1G05kW/c6l9jkwdd9TdZxft2QJ+cOO7+ncA21QUVCR8XY3v/U6ALVz5rBK596vNTYw0NhBXV0dC9dn1v95OOP5nrTPGODpd/ZQPieX665brSk/k+fmmZ3bmFW/Co/HM+Z2/GTzT9jfvT/t2JOhJ5GQePHmF5mZO5O+9nY6gPL581mhU99U+IyOUxuMfmcS0WvD2dYeONFCSWUl19XNSCt7Z1c+fn87q1fXk5OzOK3s+PHjBAIBVq5cSVVVevJR/842+o+epqqikiXXaW29psIcCyZ3nqXOsUD/fek6doBo4yALr63HPid9zJiXl8dzzz3H8uXLNde1d/TT0PAKZWXvY8ni9LJ1e0+ycyDAR1Ys5er8dLu2qfD5zEQ7Lmazzcgv+e3A8Fe4BOgdfoK67WGMtADDv2HVwEiTk4s5Z3rgFyvn5JSlDh1s6QdgVc34hNf7t4gI3pzrr9ctTyXDm3nTtLDH2Nm2k4HIALV5tczL13bESjyO/3UxCMy5Sd+feayoSRuvVj21K+rTT1j9ILi1ma2nGZPV54DR72hQV8dV2wSVeK9YUbcUOdOOK4pCZ8rzV7tI05pMRjdSCDW4PAZ7QvR1BLE5zJTP1VpYNDcIsWeGTrJFJSSipuw1uZSXl4/aj2c6IeEUxeh3pgO+ZIBTboWmSFEUWvvENu3qAqem/HTSFqJ2VP/lpD2GW9+3OFsIBM6gKAmczpkacRmE0B6WFUpsFlw6XcKZbtXHWsf6YrgP89o/ylSTpzNGvzPFUCLCf1wa4fM5mo9vRkhuYZdHSXCnbnFXdJcUs4PUdv1RxhnKebb6Xw71pfWaY46Iwv2xFVQErCjxOPEeYdc20m/7CsDod6YY9uR3PKKTTM5kEn2R6sU8nPMlmhtKUJehRl6JqO+HWdtvnc//Wkn5Zmv9osPJe9qngXY2GplycxoPV6h3gXmSJM2WJMkGfBh4fsQ5zwMPJLONrgMGpq0/jz/p7+IRArMsKxxqEaH5y6oz74sZ7+sjdPAgktWKe906TbmsyLx2TkQp3lxzc8brnwwu5Ccd3L2bRH8/8dJSbLWZ91+UZYXXjon3+Zp5SZ+fiuHe1xKs/2LG681SxsuJzuh3RhCNCo86+wiPupTAXJjuVdrf2U444MedX4CnMH3QLidkWk/2A1A13xCYM8G5w2KCNGNRIWaz9mvRfEQIzNUjBGZFUYh1DCVptNlslJSUaK5fsGABpaWZTWiUxRj9zlRHFZhztALzYChOIJrAbTOT59R6qJ4Lib5utnMUgfkCvsXZgt8vdjrneLQJWAGOBUTfvtCt70N9pjvpY12sIzCXL0v+IcGiu8fUToMURr8zgSjJMY80IvHbQETMufLsmZ9zSUlzZWU0gTk5JVF0xKdsYchHWl9UkZNijWQy65ZfKvUl9brH7/rmu5y6/gaOLa+n9//+D4DAtrfo+q9v0/eb36TaaWD0OxOJKjZGdfoASRLjFVm5NIE5tTCVxf3GZHM+H2t1QVB9D9LLkglEJe1YU32P7TpztulCpp5Zxj+5iqLEgS8ALwNHgV8rinJEkqQ/kiRJDYvYjDCiPwX8CGFGPz3xJSOYPeUANHoD+CJxynLtlOXqTwLGQmD726AoOFevwuTWTiIOdh+kK9RFhbuCRUXn3+aeDYTjYV5rEoL5rbNv1T1ncPNL4txVK8clYntfcx/dvghV+U4WVyaTi1TWD51Qthhyx29rXJYxLr+WRr+jJZ70BrRY0h2VEqMIzB3J6OWy2nma70l3k59YOEFeiZOcwsz3W+NFY2MjTqczleH4+PHj1NfXp/7l5uby7W9/+6Lu9e6772I2m3nyySeBoQzHNpuNnp6eS2/bITVhonZnw0BXJ4PdndjdbkpqZqWVJfojJAaiSE4LlhKRpLGyUtu/XCHRyxeL0e9MdVKL8dpFkZZ+kfG7qsCp+xveHBYTghkO/QzlwWAjAC7n7Aw0dPLwB4TA7PHU6ZYf9Yso74VubZQ3wOlkBHNtqUdb6MwXjzkVkKFIRAOj35lIFCUp8IzoI0Jx8b1wWzOftPJCAjPTKoJ5tPLMRjAvL9Ump59XtQz7nGT/nUggB8VvQvjwYbyPPELwnV3TYkduhjD6nQnEnvzch3UjmIVIqSRFy/QycZ3u7odUBPPU7jjOnTuXNscC+M53vsOSJUtYvHjxRc+vIPNzLBLJ105HYFZFfV2BWUkuVOokhFWj1G3TuK+5GA9mgAclSXoT2J/8/4R8UhVF2YzoZIYf+59hfyvA5yeiLZNOMPmlSNojHGoVK+lLq/LHpbrANpG0y7PpGt1yVYy9ceaN0+LHeFvrNgKxAIuKFlGTW6MpV2IxfC+/DEB4tdY7LBO8fEQkuHjP4mFb1cuHRR2u+dS41DtFmZQ+B4x+ZySjCcyjRTAP2WNobWZaTyTtMRZkX/RybW1tKhNxXV1d6u9EIkFVVRX33HPPBe+RSCR46KGHeM973pM6pmY4njVr1iW3KRKK03KsF0mCmiXaLZ5n9+0GYOaS5ZhGRAVFGoW1nr0mN7UyX1lZmZZteebMmVRXV19yu7IYo9/JdsLJpCuOfE1RW7/osyrz9YXTCwnModA5AFyuWWNr4yTj94skYaMJzA1qBLNHfxFQFZjnFOsIzAOt4rFq5RhbeUVh9DtTCFMyclmNZFaJJUT0oFVHMBh7pUmLDL1t7oBJyv5IRFUcHzWCOSmQSRkSmIudxVR7qmnxDyU2fmDxAziXbCF6Wt/toegPP52RurMEo9+ZQuRZxBi9PznnGo7ZJMYsiURQW5YUN+M616UimBNT3yNj+Bzr8OHD/OhHP2LXrl3YbDZuvfVW7rjjDubN084rh5PpORYM63MvVWBOiAVJs0k7jupLvlf51szs1piKXIzAvAV4CPg6EE9e8++SJG0H9gJd49Y6gyFiYsCPTaycq/YYS0ckqckEiizj3/YWAJ5r9QXmN5rfAITAPB144fQLANwx+w7d8sCOHSQGBrDNrSUxwkQ/EyiKwstHRJT6exYP+Wxj8yCsshRYML5JhaYQWzD6nCmDnsAsRxPIgRiYJUw56WKMt0Vk2S2pmaO5V/tp0W9Vzs2/7Pa0/PW2y772fFR/Y9OFT9Lhtddeo7a2lpoa7cLUSL773e9y77338u67715WXSNpPNiDnFComp+PK1crip3ZuwuAOSuv0pRFG8V7YZ+dmzo2MoL52muvzUg7s4QtGP1O9pMSmLVjo26f8FYty9EXTi8oMAeFwOx0Xvi7PpVRLTI8Hv3k0KkIZo+TvhFl4ViC090BTBLMK9MRmL3Cp5pirf++gS5bMPqdKYVkVwXmSNrxaDJ6cDwEZpO6zV1HJAKQzKoAnb0Cs9r20QTmREwI+GbLxca+XZj60vqUwJxjzeGmmTcxuNTLwHPPac71XHstjjr9RbdpyBaMfmdKUWwTn/ueqLYPsFjFeCYW69eUqfaFkUhEUyYlBUwlevEC82uvj48F2I03nL7oc48ePcq6detwucTuymuvvZZnnnmGL3/5y+e9LtNzLAAlltxZYdUufKmv+UgLSRh6r6zW/LTjcVmhL5ZAAgqtmevrphoXfGaKotwAIEnSHGDVsH9fBQrV08argQZJ4kmB2SImRmoESV155rNuho80kOjtxVpZiW2OViQ6O3CWc4PnyLPn6SZRyDb6wn1sa9mGWTJz+xz9JLmqPUbu7ZlKopvOsQ4f57xBitw2Vs8qHCroagAUYY2hs+V3OmL0OVMLVWAevkIr+5MTAY9NM1nwtjQDUFSVHvmqKAqdZ4X4Uz4n8wtjk8Xjjz/O/ffff8HzWltbeeaZZ3j99dczNvg5vVfMAWpXavuGWCSc8l+eXb9KUx45KyKYbbOG3ouysjIkSUJRFOx2O3N0+v/pitHvTBNUgdmp3SXh9YvJQJFHX0A+n8Asy1FC4RZAwunM3qj+aNRLNNqN2ezG4dA+j3BC5kwoggmY73Lwzojyk51+ErLC3FIPDr3om87D4rFssbbMQIPR70w91OR+8gjBJpZM2mQz6/cfY8FkEaJ1PBrWLTdbhLiRiE/9SMTRUNuuPpeRxJOCvtWeOfu0+pJ6XjzzIiDyBVlMFpxLl+ieW/SZP8xYvVMdo9+ZepxPYLZaxXgmFu/XlDkc4vsSDmv7DsmuCsz6OyOmKkuWLOErX/kKXq8Xp9PJ5s2bWX2B3ePjMccCUCJJb3i7dryjvubqezCcIYG5gL863syugQBVditFVgsK4DGbeHcgQJXDRoXNimWUhbds5aKl82T20DPAb9RjkiTNAlYDxl648WaEwHy2RyRZma2XZGWMBHbuAMC9Yb2u/cWW5i0AXFN1DRZT9q++vHT2JeJKnE1Vmyh2an1M5UgE36uvApB7221w7lzG2/DsPrGt9D1LyjEP72SadorHmg0Zr3OqY/Q5UwO1Dxie+EQOJLPjutO//9FQEJ+3G7PVSl5peVrZYE+IkC+GM8dKbvHlTyAuN9J4PIhGozz//PN8/etfv+C5X/rSl/j3f/933a1Ul1V3OE7TkV6QYE69Njlf0+GDxGNRymvn4c5PF9sS/ijxriBYTNiqhqIQrVYrLpeLQCDAnDlzpoX90aVi9DtZznkimL0BISAXebTRJqGETHc0jhmFMrs2QjEcbgVkHI4qTCb9JIDZgM9/FACPe37K93U4J4JhEgrMddlx6iSgaWgXr++iilxNGQAdYlErzd7L4IIY/c7UQbILAXmkRUY0MY4RzMmo3ZhOFCKA2SJ+i6e3wCxeX4tONODlMtyH+aMLPwqAfcECsFhgWLS4c9UqXKu0C/HTHaPfmToUWi2YgL54gpisYB2mBahRsHoRzKq4qRfBbEqKonLk4gXmS4k0Hi8WLlzIQw89xM0334zH42H58uUam8aRZHqOpSJfpMAcDJ6lp+cN7PZSbLZSwpE2QLx3tU47P2/zcjwwtAjgT8jcvU/s+Pr18lquKcx8wOhkMiZ1UFGURqAReDITjTE4D/Fkx2GxE0vINPeFhO9mkSvjVQV3ipgV17p1uuWqwHztjOmxfVq1x7iz9k7dcv+WN5H9fuyLFmKfPTvjAnM8IfN0UmC+d+WIiKJTwuua2fpWJVcaRp8z8ag/6sP9vRIpgTl9otXbKrYiFlRUpbZ8qnScERGzZbPzpo1w+dJLL7Fy5UrKysoueO7u3bv58Ic/DEBPTw+bN2/GYrFw9913X1bd5w57ScRlKmrzcOdrJ2Rn94kV/Nkr1mjKwif7AWGPIY2Y7KnvzbJlyy6rXdMRo9/JIlSB2a4VQLuTEczFOhHMbZGk+IyMWad/UhP8Zbs9hm9QRBjn5OpH8R30CXuMpR59n+qGNtGPL6rUEZiDvTDQDBYnFM3NQGuvbIx+Z3IwJbdly/5A2nE5mfzPpLMwM+Y6zclxVlSbxAvAYp1GEcxW/fGfKq5bbDYyFW9ZaBfBuFaTlbkFok8y2e045s8n3NCQOu8K814+L0a/MzmYJYkim4XuaJyeWIwK+9A4xWrJByAWG2laNT0jmAE+9alP8alPidxTf/u3f3vBfDCZnmMBKAkF4jJIIFlNhEIhBgcHcbvdOJ3O1Gtut9sxmeycPPWvmnscPvJnWKxXI/Jaalme42RTgY7dWJaT/eGnVwrJ5BKYrTT3BknIClX5Tv0timNAiUYJ7t0LgHvtWk15f7if/d37sZgsbKjM/qjaMwNnOOw9jMfq4foZ1+ueM/DsswDkve9949KGbad66PZFmF3sZuXM/KGCeATOvin+nnvzuNRtYHAh9ARmNYLZPEJg9raq9hgzNPfpTFoylM8ZJfItC/nVr36lscf43ve+B8AXvpA+mDh79mzq70984hO8973vHdPA59Se0e0xZDnBqXfF7ofaVVr/5fCxXgAcdYUjrpMJhYTAdIUl9zOYLsTE5xebdvHdmxKYtQsynRHRvxWMsis4FBZ9m9Op7duyCZ8vKTDn6AvMB3wiidDyHP3ghaPtPmCUCObOI+KxbBGYMjs2NTCYKCxFYidj3NuTdlyNXI7L+j7JY8FkTd57lAhmU8oiI3tdCxKxi7TIsNkzJjCfGRTJ/Oblz0sLbHAsXZoSmM2FhXiurHwTBlOUKruN7micplA0XWC2JS0yor2aay5GYL6UCOapQldXF6WlpTQ1NfH000+zY4fYXT/ecyw5GAOThGQ3p4R5yWZGkiSCwSA/+MEPUueqfcprr71GUVERJaUFMCJzhSyHqYi8jUn6PDLaxbUvziybNkFXwzEE5mzBYod4COIRGr1C3BkPe4zQoUMooRD2eXOxFGvtIra1bkNWZNaWr8Vjy/4VFzV6+eaam3FYtNv2414v/m3bwGwm773jk2TvyT0i6vO+VdXpncy57RALQtlSyK0Yl7oNDC6ErsAc1I9g7msXW4IKKrXipOq/XDZregjMwWCQV155hUceeSTt+LFjx9iwYXwX38KBGI2HekDSF5hbjzUQ6O8jr6yc0tnpCTsUWSF8QgyAHAvSBeauri4SiQS5ubnk5Eyv7VoGVwjJbezo+KT2Ji0yCt3ass6o6NPy0Y8QFBYZ4NTxLc4mBpMCc26OvoXFgcGkwJyrFZgTskJDu1goXKgnMBv2GAbTAEtxEQCJHm/acatZjHfUZH+ZJGWRER3NIiMpMMemQQRz8rkoioK3+Rw2pwur00k0KZBl0iLjRO8JABYWLUw77ly6hP4nngAg973vnZYCj0H2Ueuys98X5HQowtr8IY3FYRcaQDjSrrnG6RS7jYLBoKbMZEtGMGehwHzvvffi9XqxWq08/PDDFBQIkX2851iBdzsZeOksmISwDCLRX/f/HkJymPE43PjDYneLah3Z3d1Nd3c3JaW1wG7NPXNtOcy3OTgWSO/fa512biuZPjmJhmMIzNmCKn7Gw3QOCqGnIi9ziRBUAjtF1Jtrrb49xrbWbQBcU539lg1xOc5zp0Qm4bvm3qV7zuCLL0I8jue663QF97EyEIzxSkMnkgT3rKhKLzwpfJ+ZZ0QvG0weegKzmpFY/fFV8fWIqNq8knTRU07IeFvFD3LJzOkhXLpcLrxer+Z4Y2Mj3/rWt8577U9/+tMx1X1qTxdyXKF6QQGeAu1k7Pjbop+uW7dRM3GKNg2ihOJYip1Yi9O3wZ8+LbzXZs+ePab2GRhMGslEXOjkh/CFRR+W69R6qHZGxHWjRTCHw2LxTC8xXrYQi/UTDjdjMjlwubSZ4sMJmaOBMBL6Fhmnuvz4I3Gq8p2U5OiIQG1i9xvlhr2OQfZiLhICc3zE77sawawm+8skJqtY9IomdxCNJGWREcsuoejku51EgjEsNjOdjWL3Q2gwSseZASw2E8/+578y0Jkumr39619QefOdPPrlL3LfV/4ZV17+Zdd/qEcsei0pTt+xYV8y9P/CBz522fc3MMgkc5zid/VsMF2IdDiEPqAudA9HDQbx+/2aMsluBpMQmJW4rLHEm8ps27ZN9/h4z7Hsc/PFHzIo4WR/KytEktaCMxdV03DmuOY6k8nEjBnX09ysFZirqz5GfditEZg/X1Oqa8k2HTAE5mzBkhzMx8P0+MQHvlhvgD9Ggu/sAsC1VrutOiEn2NEmtihsrNqY8bonmu2t2+kOdTMrdxYrS/VzGfQ/KwTovDFsZT8fT+xuIhqX2TSvmMr8YRM6RYHjm8XfhsBsMInorY4ryUiUkYOVQW83ADnF6Unn+rtCJOIyOYUO7K7MJ8gZb8xmMwMDA9TX17N///7znvviiy9e0r1DoRBXX301sVgMk+niBn8n3ukAYMG6ck2ZnEhw4p3tANSt1y4Eho8lo5frCjRlqsBcW6sVnwwMsoJEciFMJ4LZnxSYPTbt0FeNYC4YLYI5JHYaORyVmWjlpODzCQsLj2chJh0BviEQIqYozHPZ8Vi0Fhd7m0TfsWK4lddwmkX+DmZox48GBtmCGkwy0iLDZhJ9SiyReYHZbBPzuUgwoFtuSS7mx6LZFcHccWaAg2+0pB07va+b0/vEWLFm4TKNwByLhEnEYthd7jGJywD7u/cDsLxkedpx1ZLE5PFgraoaeZmBwaRQ6xL9wJlQuhBpsxVjMtmIxfqIxwNYLEM72FWB2efzae4nmSRMLiuyP4YcjGHOnZoJiqfSHMta4cbksiAHtVZI1go3sxfO1RWYFy1aRHnZfJqb04+bTA6qqj7Cim6ZxzuGLE6KrRbuLdPOw6YLhsCcLagRzLEwPX4xwNDzERwLSixG6OBBAFyrV2vKG7wN9Ef6qfJUUZOb3YluAJ4++TQAd8+9W3d7VPj4cSJHj2LKy8Nzg74/81hIyAo/e1skDPzE+lnpha17oO8seMphhtYL28BgovB4xDat4avjSkIVmNO/N4PdYtKQO0Jg9raIa4uqs9NWZ8aMGTSPHDVkCKfTecEB1XAGukO0nxbRP7PrSzTlzUcOERocoKCikpKa9EhkRVEIHRaTZsfCdHuMaDTKuWQCU0NgNshaUhYZ6QtZiqLgj4oJg1snG3hXsmw0i4xQMnJIjSTKRgYHRTRf7qj+yyJ6cjT/5X1JgXnlTJ1J0WA79DeJ5IqlizLQWgODycFSKpL2xts7UGQZKSlK2JKLVpGEvo3FWDAnbSEiAX2B2eZICsxZttW9ZkmRRmBWKax0s3DjWo6//bJu+dIbbhlT3R2BDjoCHXisHmrz08c0qv+ya/Uqwx7DYMowJykwnxoRwSxJJhyOKoLBs4TDrXg881Nl6hzN5/OhKIrm82xyC4E54Z+6AnN1dfWUmWNJJgn7nDxCh7U7VN1rK5g1S186veqqq/B4KjCZHMjykB92RcX7sdkKqc9NtzD5bHUJ9osMKspGpu8zm27Yk8JMZJAev5hA6WVCHwvhY8dQwmFss2ZhKdBOIN5qewsQ0cvZ/oPcE+rhzZY3MUvmUe0x+n8jEujm3n4bJltmX2uAV4920tofoqbIxfV1I3xUD/1GPC6510iWYzCp6AnMqIlmzEM/IbKcwN8rxEtPUbqdTE9SYC7OUoF5KnFil4henrOiBJtDO9A59rZIDFp39SZNPx1rCxDvCWHyWLHPyU8ra2pqIpFIUFFRgdudeX9/A4MJQU3ANSJCNxhNoCjgtJqxmLVD366UB7PWIiORCBOLeZEkC3a71vM8WxgY3AdAbl69bvnuASFurdTxXwbY29QPjBLB3Czs1ahebYxZDLIas8eNuaQYJRol1jYUXZtrE77jvqg2UnCsWOzJRF0B7TZ3AKtdFZgzn2BwPKmcn4/Fpi81LFhXwczFyzBbtOMYk8nEvLXrx1T3ge4DgIheNknpbQjt2w+Ac/nykZcZGEwac10OzBKcCoYJJtIXux12fZsMm82Gw+EgkUjo+jCrydjV5OwGFyZlkzEMyWbGtaKE4uJizRypoqKCGTNmYDJZyc1N71NmVD8IwEK3IxXVawI+WZ1529WphCEwZwue5FZoXwc958mEPhZC+8Tkw7lS3y7i7da3AdhQOb4JrCaC508/T0JJsKl6E8VO7ZdcDoUYeP55AAo++MFxacP/bRcZTz9+9SxMpmFCUCIOh0V0Ncs+MC51GxhcLE6nE5PJRCQSIRYTAxQ9i4xgfz9yIoEzNw+rLb1vMgTmzKDICsd2iAlv3VqtPUY0HOL4DrEQuGDjdZry4AERYe5cWoxkShefT5wQyXCM6GWDrEYVN+X0SL9ARI1e1o8+6U96m+boCMyRZGIdu70cScpO8VRRFAYH9wOQl1uve86upMB8VZ52gWkgGONUlx+bxcTiSp2kNM3CXs3YcWUwHbDPErt/omfPpo7l2/MB6Iv0Zbw+k9WGJJmIhUPICW2UsjXZb8XC2RXBbLGaqR6RTBhElOD8tWVYHQ6qFmh3PDg8OVjtY8sztL9rPwDLS7UicuBtMZ8dLd+QgcFk4DKbqHM5SChwxJ/ux+50zQIgEDytue58NhkmQ2C+ZOxztUGWrhUlmOwWJEmipiZ9F/9VV12VCujJyxvS0Nzu+bjdcwCwmUxU2EWw4jy3A7eODdl0whCYs4WcpJjg7yQYFQMMzygTpcsluDcpMK+o15YlghzsOYjFZOGqiuz211MUhWdOPgPAvfPu1T1n8OWXkQcHcSxdimPhQt1zxkJD2yA7z/Titpm5b/WIpEFn34RAFxTNhYr6jNdtYHApSJKUtgVrNIKDAwC4dTzzetuTFhlVhsA8FpqP9jLYEyanyMEMnUnbiZ3biYVDVM5fSFHVjLQyRVYIHRQCs2t5urWGLMs0JLeMLhyH/s7AYMJQvZdVq4wk/sjo9hgAvbGkP7OuwNwJCIE5WwmH24hGe7BaC3A6tRZnHZEYzeEoHrOJhToJ/lT/5SWVudj0EgU1JSOYDYHZYBpgmzULgGhjY+pYviMfgP5wf8brkyQJezIqTi+KeSiCObsEZoBZS4s0x2YuLsSdJwIRapZpg5qcuTqLWJfIOx3CE35kjp1YayvRxkZMHg/OZUvHXI+BQSapT+4g2jeYbpfjcQtbjIBf6/+blye+L3192sUvk0cIzAm/ITBfLJYiB+a89EAp99qK1N/DBWaLxcKSYUlD84cJzJWV6QGKDrMQoe8uzc9kc6ckhsCcLeQkP9i+DiJxMcDQHeRfJoqiENorMoC7VqzQlJ+MnERWZJaXLMdtze7t0+90vEPjYCOlrtJRkxX2P/FrAAo+ND7Ryw9vOQXAB1bPINcxIunZ3kfF49IPQJZbkRhMDwoLhZjpTWZVVyOX1UhmgHDSQsORXElXiUcT+HsjmEwSucVji0i50jmyrQ2ARRsrNRHIAIff+D0AS27QJgaNNg2S6I9gzrNjm5mbVnbu3Dn8fj8FBQVUVmZvEjMDg5Q1hpw+mYrLQji26dhjAPQnx1UeHQ/mSKQLIKvtMQZVe4zcel2LMzV6eXWuWzer+Y4zou9fN0crFhHqg/b9YLJC9ZrMNdrAYJKwzR49grk/0j8udTrcYgE+7NcRmLPUgxmED/NIFqwbEmtmLU8XgEtn12IZoy1hV7CLk30ncVqcrChNn9P6U9HLa5F07DkMDCaTFUmBeb8vPYLZ46kDwB84oblGnaP19vZqylTf5cRgVFNmoI8kSWk2GZZiJ7bKoQCpWckFSBBis9U6pOPk5i5L/V1edk/afQNJ25ONBenz5OmIITBnCzki6QS+DqJJUceeQYE53tFBvKsLU24utjlzNOUnwqJDW1uR/dEpvz4uxOP75t2HRSeTevjECUL79mFyu8m97baM13+qy8fmQ+3YzCY+e+2I13qwDY69CJIZVj6Q8boNDC6H4mRW9Z6eZFZ1NblfYrjAPAiAw53+wznQLQZJOcUOTKOIO1OdxsZGnE4n9fX1ABw/fpz6+vrUv9zcXL797W+f9x5btmwhLy8vdc3XvvY1QGQ4rq+vx2azDb2+OsRCCmcP9mAySSxcX6Ep721rpfVYA1a7g7p12oWzwG4RhelcXqIRpw8fPgzA4sWLs95f3+AKJxXBnC4wx5J9lVlnYSYqywQSMhYJtLG7EImqEcxlGW3qRDKQssfQ9xx9d0CIWmt07DEA3j4t+qb1tTq+gWe3giKL6GW7sUvFIPuxz5sLiNw0KimLjHAfiqLd6TBWnMkoxOCANgpRTfIXCWWXBzOAp8CRtnvNajcze9lQP1JSMxvXsIjlZTe+Z8x1vt0mROQ15WtSyRlVVHsM94axeTwbGIwH9ckku3tHRDC71QjmwEkUJX2hqahILOLoCcyW/KTA3B/WlE0Vzp07lzbHAvjOd77DkiVLWLx48QXnVzD2OdZIhgvMzhXpuz5LSkowJRP0DW8zQDwuxlIWSx4229A9AvEEHZEYZmCxzi6x6YaxdJct5CfD8XtPE1EFZmvm/FvCR44A4FyyOJUxeTiqwLyuIrv9qrqD3bzR9AZmycz7571f95z+X4sEe7l3vhfTOCS7+t7rp1AU+OCaairyRnQye34qkhQtuhtyjUhCg6lBSYn4cVV/nCWzGsE8NMlSo26cIyKYB7qEwJxfqp84Kluora1NZSKuq6tL/Z1IJKiqquKee+4Z/eIkmzZt4sUXX0w7pmY4Hr4irkf/GWFzMXtFSWpr6XAOb3lFtG39JmzO9NdaDscJJf2X3WvSRbJEIsHRo0cB0rZ5GRhkJeZkJMkIgTmRjGC26ixyqf7L+RYLko5+k4pgtmVvBPPAwFAEsx4X8l8+0jaI1SyxqkbrTcjp18Vj7fUZaauBwWTjSP4Who8cQYnFkKxWnBYnHqsHf8xPf6SfAofOd2EMqPZiwYF+TZnNYQFJeDDLCTnrFutrlhbhbRVjxNnLijBbh9ovSRLl8+o4s2cXSBILNlzLjl3vjqm+7a3bAVhfmS4iK9Eoge1CYPasNwRmg6nHQreTHLOJxlCU5nCUGQ6xQGK15mK3VxCJtBMKNeFyzU5dM3KX6XBUq4dEf2QCWn/5DJ9jHT58mB/96Efs2rULm83Grbfeyh133MG8efPOe4+xzLFG4qgdWvTyrE6fN5lMplQwzsyZM9PK/AFhYTI8khlgx0AAGViR48KVZf335WAIzNlCadIXs+so0eRkyGrOXKRZKCkwOxYv1pR1B7vpiHXgtDhZUpTdAsRTJ58irsS5ceaNlLm10UgJf4CBZ4Q/c8GHPpTx+s90+3n+QBsWk8QfXTsimVY8Crv/T/x91WcyXreBweWiRjB3dwuRUs8iI+RLRjB70gXm/i6R1TivNDMrtv/4j/+Ykftk6r6vvfYatbW1mqQPmUSWFfpOC4Fs8SbtwlMsGuHQ60l7jOtv0ZQH93ehxGTsc/KwlqSLzydPniQYDFJcXExZWfZGaBoYAGBN9jOx9GzqsYT4/uhFMKv2GPlWM+gKzNkdwZxIBPH5DgMm8vLqNeUDsTiHfCEsEqzM1S4E7jzrRVFgxcwCnLYRgQ2KMkxgviHzjTcwmAQsBQVYa2YSO9dE+MQJnMndPVWeKo73HafF15J5gTlf3C+gIzBLJgm7y0IkECcSiuP0jM1CYqKZtaSIvb87B8ACnR1YxdU1nNmzC3dePnbX2AJ7EnKCHe07AG1S+sCOHciDg9jnzUv5bBsYTCUsJomNBTm81DPA1l4ff1A5ZDHj8SwgEmlncPBQmsB8vghmc/6lCczlb+wfQ+tHp+P6+os+9+jRo6xbtw6XS4xHrr32Wp555hm+/OUvj0vb9JDUsY5JwpSbHtQTDodJJBKYzeZUgkUVn0/oaTme9Hw2b/aKOfJ1hdPfHgMMi4zswV0CzkKIDFJhEtunZK1V4GUTTiZ4cizSZvNVEyWsKluF1WzVlGcLcTnOkyeeBOCDdfreygPPPIMcCOBcvWpckvt97/VTyArct6qa6oIRE7mGZ0Vyv9JFUGOsrBtMHVSBuaurC0VRkJIJZ5RhfoDRsIhUHhk9O5AUmLM9gnk0Hn/8ce6///6LOnfHjh0sX76c2267jSPJRb2L4eyBbmJByC1x6ib3O759K2HfIGVz5lI5f0FamaIoBN7pAMC9VpukbPfu3QCsXLnSsMcwyH4cyaiT8EDa4aEIZu1nXPXFGy2qJBoVC2s2W4lu+VRnYGA/ihInJ2chFot2crMzGVmzKtetm9l8x2kRFXW1nv9y7xnobwJnAVTo228YGGQjzmXi8xw+eDB1rDpHJOVu9bdmvD6XGsHcr7XIALC7xPwrEsg+m4zSWUN5Hyrn5WvKc5JjzKLqmZqyS2V/934GIgNUeaqoyU1f+B/83cuivttuHXM9BgbjxbVJEXJLb3pi9bw84Sc+kMypMHQ8D5PJxODgIJFIupBszrOBBAlfFCWRQeFoHFmyZAlbt27F6/USDAbZvHkzzc3NF7zucudYeqiCvDnfrpkbqbt5i4qKUlYZKgMDIp+Z+l6pqO/ltVeIwGxEMGcLkiSimM9tp87cwmEWpJL9jRVFUQgfSQrMOhHMu9p3AbC2PLv9l99seZPOYCczc2bqWn0oskzfY48BUPixzPsfH24d4Jn9rVjNEp+7bm56oSzDtm+Jv9f+kZHcz2BKkZubi8fjwe/34/V6cbmTWYkDQ9vQE3Ex6TFb0xehfL3C9yunKDMJ/sYrgvlyiEajPP/883z961+/4LkrV67k3LlzeDweNm/ezN13383Jkycvqp4Dr4mB1fIbqjX+yYqisPel5wFYceudmoFQtNlHrD2AyWXBuTjdP7Wvr49Tp05hNptZvtwQhwymAY588RjqTzssJz1TJbS/rcGEGEu5dOzBAKJRIbDabDr+w1lA/4BYRMrP00/A91afmPhsKND3T956Ugjs62t1BOaTYucEc64DU+Zs2wwMJhvnsmUMvvACof0HKEguIld5qgBo8bdkvD5X3ugRzAAOl4VBIBLMPoE5HhV9rNkiYdZZxIonRbHiGWPfCfb7RtEn3Vxzc9p4SIlG8b36KgC5txoCs8HURY1y3dbnI6EoqcS7eXkiIaYqYqqYzWZKSkro7Oykq6uLGTNmpMokswlzjo3EYJTEQBRL4fnnYpcSaTxeLFy4kIceeoibb74Zj8fD8uXLsVwgIedY5lh6xPvE3NWiM3ft7BS72kbu+pTlOIODBwDIzRtKXtoWjnIyGMFtNrEqN/PWq1MRI4I5m0jaZNQhthlF4plZiYp3dZHo6cGUm4t1WKeksqdzDwCry1dnpL7J4pdHfwnAh+o+hEnSfvQDb71F9Nw5LBUV5NyY2a2eiqLw9ZeOoijwwNWzmFk0Iprz2AvQfRRyq2H5xUVDGhhMFJIkpQYszc3NmDxCRJb9Q1mJZVVgHjEI8PeLczwFmRGYpxIvvfQSK1euvChrCVWkB7j99tuJxWIXlXAiEZdpPzWAyQoLrtZuLW09eoTuc2dx5eVTt/4aTbl/exsArtVlKWsTlT17RN++ePFi3OPgN29gMOE488VjuD/tsCW5MJPQSc4VvEAEcywmtp3abNrdA9lAf78IEsjPv0q3/K0+4Y26MV8bWdMVlDnTHSDHYWGlnv/y0aTfYd0dmWmsgcEUwbV6FQCBnTtTSf3UCOYWX+YFZnd+vqivT7vNHcDuEmOrSDCmWz6VUUVxxyjWHv5k1LYrf2y2I7Ii8+o5ISK/Z1Z6skD/228j+3zY6+qw6ySzNzCYKsxy2qlx2OiPJ9g3OGT3lZe7HEky4/cfJZFItwErLxc7FDs6OjT3MxcJ67B4T2gcW51ZPvWpT7F37162bt1KYWHhBf2XL3eONRrqa2Up1to7qq+x+pqr+APHSCSCOJ0zsQ8LSHgjGb28scCDVcembTpiCMzZRLWIPlkui4RMkVhmBOZIMkuyY8EC7TaAUA9NviZsko0FhQv0Ls8KjvceZ1fHLlwWF/fM00/G1ftzEb1c8JH7kS6wUnapbDnRzfZTXnIdFr54g0708pv/If7e9GdgyS5vNYMrgzSBORnBLA+PYI6Jv0cKzIHkKrAnX5uYLtv51a9+pbHH+N73vsf3vvc9zbkdHR2pSequXbuQZTnlm3Y+omER+VMwJ5noZwR7fyeil5fddBuWEdHj8d4woUPdYJLwrK9KL4vH2bdPbLNbvTq7Fw8NDFKoFhkjIphV7+W4zhbR81lkKEqCWEzcy2LJz1gzJwpZjjEwsB+A/PxVmvLuaIyjgTBOk8SqPK2N0YFu0f9cM79EmyAx0ANNb4PJCvO13u8GBtmMfcECzCXFxDs7iSQj4WpyRITt2YGzGa8vp0hY8Pi8+qKIIznuCvmzT2AOJ8eKzhx9m0X1OecWj82GaH/XfrpCXVR5qlhclL4jd+DZ50Qdhj2GQRZwS7GwlXmhuz91zGx24fEsRFESDCQjZVXOJzBbS4RIGusOasqmKl1dIrlyU1MTTz/9dGqulek51mjEu4XAbL0EgXmgXwTt5A2LXgZ4oasfgFuK8rhSMATmbGLm1QAsijcgIROIZmabVOTUKQDsOqtDezvFNozZ9tlYTNnrqPLLYyJ6+a65d5Fj00bpRE6fJrBtG5LDQf5992W07nhC5uubxaLAF2+YR75rhIB84iXoPAw5lbDiYxmt28AgU6gCc1NTE+ZkFErCr7XIMA0TmKPhONFwArPFhN2dvf2HHsFgkFdeeYX3v//9acePHTumO6h58sknWbJkCcuXL+dP/uRPePzxxy/oeZyIy8QjCSQJCudrz+1rb+XUrp2YzBaW33ybptz/VivI4FpegmWEwH/gwAECgQBlZWVp2+kMDLIaZzICLpTuY6qKo2qyv+EE5dEFZiEuK1gs+ZiycAzk8x1GlkO4XHN0LT62J6OXr8rzYNexCFEF5hvqSrU3P/4SKDLMvmZI2DcwmCZIkoRnw0YAAtveAmB+4XwAjvcdR1Yy62eqiquDPV265c4cMe4K+aK65VOZ4KBosytHP4DG1y2ec84YBebfn9O3x4j39Ah7DLOZvHv0g4wMDKYSd5WKscwLXf0piy8YEi/7+3alnX8+gVmNws2mCOZ7772XRYsWceedd/Lwww9TUCBej0zOsc5HLCkwW0YkRpdleVSLjP7+dwHIyxtazO+JxtnW78Miwe0lV844yRCYs4n8mZBbTY7iZ57UitefmUFG5KQqMM/VlO3tEgJzrb02I3VNBn3hPn575rcAfGTBR3TP8f7kJwDk3XUXloLMZob+1a4mTnT6qS5w8sD6Ef5icgJe/1fx98YvgWX6RXkaTA8qKiqwWq309PTgT4TAJCEHYijJnRSyLIQI0zAfzkAySYK7QJskIdtxuVx4vV7y8tIHDI2Njdx7772a87/whS9w5MgRDhw4wM6dO1m//sKJPNWJ5JwVJdjc2tdv13NPoigyi665AU9B+vZ9ORgj8K4YaHo2pUcvJxIJ3npLTJg3btw47d4bgysYTzKixNeWdliNYFaT/Q0nnIxgduoIrNEst8fo69sJjG6P8Xoys/kmHf/lYDTOsV6xwHVtnY7wcyxpj7HwvZlprIHBFMO9SQjM/re2AVDsLKbYWUwgFsh4oj9nbh4Wq41IIEAkqI00HBKYsy+CWR3LOEcRmAe9wud9LBHMMTnG787+DoBbatJ3VPQ/9TTE43iuuw7rRViaGRhMNqtyXVTZrbRFYuweCKSOFxaKPsnbuy3tfFVg7uzsJJFIz9FlSUYwq1G52cC2bdtoaGjgwIED3HjjjanjmZxjnY94j+iDR1pk9PX1EY1GycnJSVlygPBf7u0T86qi5HsE8FJPPwkFrinIocCafUEKl4shMGcTkgQ1Ior5KtMxunzhjNw2FcE8V0dgTkYwz7Fnr1/VUyefIpKIsLFqI7PyZmnKY52dDDz/AkgSRZ98MKN1d/nC/MfvjgPwldsXYh+Z3GLvo9B1RCwerPx4Rus2MMgkFouFOUnfulNnTmEpsIMC8V4xYFGtMdRIZoDggJhUuPOy2/bFbDYzMDBAfX39Bc998cUXsdku/vmGQiHq6+uJxWJp2YjlhJyaSK58jzbxzWBPFw1bX0eSTFx1t3bXhX9HO0pMxj4vH1tlunjU0NBAX18fBQUFLFq06KLbamAw5clLLqYMpIs/VrMQmGOyNupQDWrW88aLRUUktNWa2YXniaK3720ACgu0ky1ZUVLegDcW5WrKt5/yEpdhWXU+xZ4Ri9/hQTj9BiAZ/ssG0xb3+vVgMhHcvYeET3xX6grqAGG9l0kkSUpF8PqSgutwXLnZG8GsjmWcudqxUTwWI9DXi2Qy4Sm4/C3tW1u24g17mZM3hyXFS1LHFVmm/ze/AaDgQx+87PsbGEwkkiTxvtJ8AJ5LWiwAFOSvQ5JsDA7uJxYb2qnldDopKCggHo+nImxV1CjcqSowT8Yc63zI4TiyLwYWE+YRuz9bWoT/fmVlZdrxwcH9xOM+nM5ZOJ0zU8ef6+wHhiLSrxQMgTnbmLUJgOtN++n2RcZ8O0WWiZw+DWgF5mAsyPG+41gkC7Pss8Zc12QQS8T41dFfAfDRhR/VPaf30UchFiPnlluw1Yw9g/Fw/vnFo/gicW5YUMqtS9K9eggPwhvJ6OWb/gms0y8JmsH0Yv785PbQ48c1W65UgVkeJjCHk8lo7C59371LQdFJzjVRzJgxg+bmZvbv35/xezudTvbv309rayuFhUNRkiFfDFmWMVtNlNZoxZ93n38aOZGgbv0mCsrTBzpyKI7vLSGw5VxbnV4my2zbJiIfNm7ciNmszehuYJC15CYF5sH0CGZ1cTccTYy8gniybzHrRPLH4wMAWK35GWzkxJBIRBgYEJ6ABQXrNOWH/CG6o3Gq7FYWuLXjj98dFjsgblqgY4/R8BwkIlCzAXKMiECD6YmloADXmjUQi+F7RSSPqysUAvOx3mMZry8lMPdoBWbVvzgbBeZgKoJZOxb093oB8BQWYRrDeOSZk88A8P5570/blRXYvp1YSwvWykrcGzZc9v0NDCYaVZR8tqufSHJx3GJxk5+/GlDw9r6Vdv7MmULYbG5uTjtuKXCAWSIxEEEO69urTuYcq7q6esLnWDD6c451iehla7ETaUTgQVNTEzD0Wqt4vW8CUFR0bepYSzjK2/1+bJLErcXaedx0ZsoKzJIkFUqS9IokSSeTj7rSvyRJjZIkHZIkab8kSbsnup0TTt1tKEhsNB1ioL/vwudfgFhbO0oohLm4GHMyg7HKEe8RZEVmXsE87KbstG7YfHYzXaEu5ubPZX2lNoIn4fPR//gTABR9+lMZrXvriW5eONCGw2rin963WLsNfds3IdANM9bBYsMTbLIx+pwLo2bxPXPmDBSIiUK8R+ykMFvE/xPxoe2bqczhY/RfdjgceL3eSR0ATSSyrBAYjOAPDuJyaxNMBPr7OPy68Bpce/cHNOW+t1pRQnFss/Ow1+anlR07doyuri5ycnJYvnz5uLTf4OIx+p0Mk5tcbPG1Cwsq9bBD9E++iHZylRKY0ROYRdSixazN3TDVGRjciyxH8HgWYLNpIwNf9wp7jBuKcjXjk2hc5pUGITDfvqxCe/ODYtzE8g9lttEGE4LR71w8ue8VEfqDLwpLmIVFCwE41HMo83UVi8Wcga5OTZlqL6H6GWcTofN4MA90iX5mLPYYnYFOtrVuw2Ky8N456ZY93h/9GID8D38YyVhQn1SMfufSWJ7jZKHbgTcW56XugdTxoqJrgCFRU0UVPVURVEUyS1jLRBRzrCPASK60ORYIcdnr9eJwaBfXY23iNbJWuDVl6ms7MneNt1e8F8XDBOZftHmRgTtK8si7guwxAKbys/1r4DVFUb4hSdJfJ///0CjnXq8oin7a3emGp5TBklXkde+mpONN4Oox3S7WdA4A+6xZmjJ18LSsZBlkxo1jQlEUhZ8e+SkAn1j8CV2f0b7HH0cOBHCtXYtz6dKM1R2OJfjqc4cB+NMb5zOjcER2du9p2Pl98fet/ybsTwwmG6PPuQC5ublUVFTQ3t5OC16Kgbg3GcFsVQXmIQFHFZjHGsFcXV1NS0sL3d3aqJ7xJhwO6w5AxpNoKE44ECcRgTXXLtGU73ruSeKxKHPXrKN45qy0skQghn+biF7Oe09NeqKbeJxXXxVRWJs2bcJimcpDgCsGo9/JJBY7uEvE4q2vI2WZ4bYLYcEfiaMoStr3QrVltuj8DKcEZkv2Ccx9fTsAKNCxxwB4TRWYC7XPbfupHgbDcao9ErUlI/yZ+5ugcRtYHLDorsw22mCiMPqdiyT3llvo+No/E9i5k3h3N6tKRQKnfV37iMvxjCZAL6gQC2R9HW2aMtUiIxsFZrXNehYZ/cnnWlBRpSm7WJ4//TyyInPjzBspcg4tpgX37SO4axcmj4eC+z982fc3yBhGv3MJSJLEx6uK+esTLfy0tYe7y4QeX1R4Daf4Bl7vm8hyPJWAeLjAPHKcY630EGsLEGsLYJ+VnjtmMudYMDnzLBDCenV1teZ4rF0kP7aOsBcMBoN0d3djNpvTLDLCkQ58viOYTHby89eKe8gKv2gXuzM+XqVNsDzdmcqzy7uA65J//wzYwuid0JXFwvdC924WDbyJ6Jsvn2iT2EZhHRHqD3C4RwikS4qXQMuYqpkUtrdt51T/KUqdpdw++3ZNuRwK0fvTnwGZj17+j98d55w3yPwyD5/eNDu9UFHghT+FRBSW3w9Vq/RvYjDRGH3ORbBo0SLa29s52nuWTcwk2iZ+iM1WMXGIR4eseyIpi4yx/dRYrVZmz5594RPHgS1btrBixYoJqy8WSfDzv3ubkC/GnV9cjtWaLs4Pdndx4PciaenV92mTlvrebEaJJnDUFWgGkXv27KG3t5eioiJWrTL6nSmC0e9kmoJZQmDuPZ0SmC1mE06rmVAsQSCawGMf6pPOb5EhRNisFJh7Vf9lbSCCNxpn72AQqySxqUD73DYfagdgTblO333w1+Kx7nZwXDlZ0acZRr9zkZjz8vBccw3+115j8KWXKHngAWpyazg3eI6j3qMsLclccIpqd9XXrk0g6M4TO0kDA1FkWcGk4xk/VVETPnvytbth1eeaP8Lq62KJyTF+fUL0SffMTd8N6v3hjwAo+MhHMOdkXx8+DTH6nUvkvrIC/vl0GzsHAhwLhFjgduJ2z8flmk0weJa+/p2ppHLFxcU4nU58Ph/9/f0UFAwFiNsq3AQhNWcbzmTOsWDi51kXIhXBXJkewaz6L1dVVaUF6HR1vQRAUdF1mM1CKH+pZ4CuaJw6t4O1edpI6OmONFXD4SVJ6lcUJX/Y//sURdFspZAk6SzQByjAI4qi/HCU+30G+AxAWVnZqscff/y89fv9/rTskJOFXjvswQ6u3vVZAoqdN9f9FJfTNcrVF8bz9DO4f/97/O+7k8Dt6SLsV1u+Sn+in69UfgVPxDNlX4/R+G7ndzkRPsFd+XdxU95NmnLXq6+R8+STxGpq6P3rhy46ivhCbTjqTfDv74YxSfDVdQ5m56Vvyapo+z11Jx4mas3l3TUPE7Ndni/PVP6MjuT666/foyjK6glq0mWR6T4nee606XdUwuEwO3fuRJIk/iC0Ebtk5fTNMp2H99Cy/Q1Klq5g5kaR8bd9j0zvSShfKVE0/9InQ1Ph9ZjoNnQ3KHQdVHAWwuybpVQEgtqOxtdfwnv8CIXzFjL7pvTkWuYw1Gw1YZIlmq9OEBmm/cTjcXbu3Ek8Hmfx4sWUlFzedtSp8J5cbDuMfmf69DuXQt2x/6ai4zVOzPssbVVD45ovvRGkP6LwX9c5KXAMOcQ9qdh5EifvJ8ztgZ4RmcGfQOH3SNIHMEm3jrltF8tYXwtF8SMrXwJMmKTvIEnpVjtbFBv/g4vlxPgbKX3LbFxW+NM3ggRi8JWVCvNKPcNvzJp3v4A72MLBpV+lt2hivl7Z9Bm9EvudS+1zILveU/uePeT/6MfEKyvwfvWr/LL3V+zw7+Du/Lu5Me/GjLUh5O2m4dc/w55XwJKPaANfjj0jk4jA/LskrM7MC8zj8Z4oisKxpxTkOCx4v4TZlt7uU5ufZuDcGea8530UzJl/ye3YHdjNz3p+RqmllK9UfgWTJPp2S2srRf/8LyhWK93/+i8ouZc+15oKn9GLbYPR72RPv3Opbfix4uRV7NxChE9KYteoLD+LwgtIbMJk+kTq3EOHDuH1eqmrq6OiYsjeytEL1bvMhHMVWtbLl9WO8WJKtcPtYc4rYh515oYE8rBNF6dOnaKlpYWZM2emkt4DJOR/Bc4gSX+ESVoDwNcUNw1Y+QRBbpUuftfJlHotxtDvTGoEsyRJrwLlOkVfuYTbbFAUpU2SpFLgFUmSjimKsnXkScnO6YcAq1evVq677rrz3nTLli1c6JyJYLR2HN77XZbED7NAOsOc675w2fdvefoZfMD8TdeQN6yermAX/ef68Vg9fPCmD7L1za1T+vUYSYO3gRPnTuC2unnotofIsaWvXMvhMKe++lUSwOy/fohl11+fkTYMhmP87X+Jj9+f3DiPB2+aP+KENtjxMQBs7/svNix930XXeyntmEimSjsuhonsc2D69Tsq3d3dnD59mnN5fdQNlLF+3ipOWxVatr9BUW5u6trXm4/Se7KdhYvrWLTh0qNTpsLrMZFtCAdiPPb8DiDOzQ/UM2PBUEKKLVu2sGTOLPb8TwMms5l7vvDn5Jene6N6Hz9GSO7GubSYq+9amFb2yiuvEI/HmTlzJvfdd5+uZdDFMBXek6nUjovB6Hcujoy1w3oQOl5jfoHC/GH3K9qzhf7uAIvq11BXPjQm2N/YAWc7mFFTg6cpnNaGo0dfpq0d6uYvp6oqA227SMb6WnR2/pbDRxQK8tewcuVtmvL/PXgGvIP8wfzZXDdi++brxzoJxHYzr9TDvFIlvR2N2+HNFnCXsuzuPwXz2BO4XgzT7jM6AUzlORZMndfyYtqhrF/PyWefhbZ21jhd+OrvZMdbO+jz9GXkOahtiEUjNPzmUaK+ATZt3JhKnqzSuX0XPc1+li1cRdmszCeNGo/3JBKK0/DEViw2EzfcfK1m7HHmWZGIfdNNt6Qsvy62HYqi8IPf/gCAz67+LDfU3ZAqa/niF/EBhR/8IIved3lzranwGZ0KbbgUjH7nwlxqG8r8IV599zjbTA6+efVKSmxW/IEq3nnnBcyWA2zauB6TSSihLpeLzZs3Y7FY0uqQw3Hadu3AETBx7caNSBbTlHgtYGq8J2o7Niy6is6X92DOt3PNLVellR85cgSA66+/PhXxHQq18PaOM5hMTq7Z9HnMZhd7BgI07D2Jx2zib9evJddy8d7vU+m1GEs7JjXJn6IoNymKskTn33NApyRJFQDJx65R7tGWfOwCngGu0jtvunGg7G4Acht+Mab7RFuERYZtZrpZeYO3AYDFRYtTq8HZxI8PiaQO9827TyMuA/T/+jckuntwLFqEJ4Nf5H96voG2gTDLq/P4/PVz0wsVBX77FxAZhPm3wZJ7M1avwcVh9DmZQU0Od0IS26ijLT6cOWKyE/INps6T42KHjMmcPVs5J5P9rzQRCcapqitIE5dV3nriMVAUlt10q0ZcjjQOENrfDRYTebenb3Xr7Oxkxw7hx3rLLbdctrhscHkY/c4EU1InHruPpx0u8ojt2T3+SNpx1RojrrOjLyEnPebNl79TbDLw9oq5uJoMaDj+eIKtfT4k4NZircXFU3vFlvW7V+h4or4rxlas+viEicsGl4fR72QOyWaj4EPCw7fvF4+xplxEqe3q2EU4nrkkNVabnZyiYhRZ1k305ykQ268DfRFN2VRFbaunwKEZe8iJRCrJX165TjLRC7Cncw8N3gYK7AW8r3ZIRA7u3YvvlVeRnE6KPvOZMbTe4FIx+p3Ms9Dj5D3FuYRkhUeahU+yxz0Pt3s+8fggvb3bU+fOnSu0h9OnT5NIDCU6NjksWEqckFCItWsT/RkIok0i74atKj16d2BggO7ubmw2W1qCv64uYVlYUnxjapz47XOi7/5kVfElicvTiamsHD4PfDz598eB50aeIEmSW5KkHPVv4Bbg8IS1cBJRFr6PPsVD8WADtO277PvEW0VyBWtV+kTiWO8xABYULrj8Rk4SZ/rP8Oq5V7GarDyw+AFNuRyJ4P2xmCQVf/5zGRNbXjzYxlN7W7BbTHzzg/VYzSO+Xnv+D45vBlsO3PFNI7Hf1MPocy6SBQsW4HA46Ax76ZIGiDb5cOYKoSI0OCQwJxJiG5Z55HfBQENwMMqBN4S/17q75mjKfa1NnN69E4vdzrr3pyerUWSF/udPA5BzbTWWgqFkGbIs88ILLyDLMqtXr9ZNaGEwqRj9TqYpTu4c6jmRdrg0RwjM3b6LF5jlhBCPTKaJT0BzuYjs6EJgLhyW0Vzl9V4fEVlhda6bUnu6SDwQjPFKQyeSBPeMFJh9nXD0eZDMsOrBcWu/wYRg9DuXSMGHPghWK77XXqeoP8HCwoWE4iF2dezKaD2FleI3ure1WVOmehj7+7Mn87raVree/3JHG3IiQW5JKVabtvxC/KxB5NH58IIP47CIPlpRFLr+4/8BUPTgJ7CWlV5u0w0yj9HvXCZ/WlMGwP+19tAXEwnUy8reC0B7x9Op8woLCyksLCQcDtPamu7lbpspAoEi5wYx0CeafG1sI3aInDp1CoDZs2en/JcVRaG94xkAysqEZeEhX5BXvIM4TRKfmXHl9j1Tedb/DeBmSZJOAjcn/48kSZWSJG1OnlMGvCVJ0gFgF/BbRVF+NymtnWBW1VbwVGKT+M+uH13WPeRIhMTAAFgsmAvTo+WO94rIn7rCujG1czL48aEfo6Dw/nnvp9Sl/XL3P/Fr4l1d2BcuxHPDDTp3uHROd/t56MmDAHzljoXMLR3hW9PZAL/7G/H3nd9OJR4ymFIYfc5FYrPZWL1aWC4dsjQRPtWPI5lAJTDQlzovFcFsMRZTLsTulxqJRxLMWlZM+Zz0qEI5kaD5rdcBuOqu+3Dnp1vWBd7tINYWwJxnJ+fadAF5z549tLS04PF4uOkmrRe9waRj9DuZJr8GbB7wtYN/KCt6aY4QILp86eKM2j0ldCOYxblq4pZswO8/RjTahd1WhsetHcO91N0PwG0l2ujl3x5qJxqXWV9bRGV+um8zex8FOQ51txljmOzH6HcuEUtJCbm33gqyTO+jj3L9DGGt93rT6xmtp3hGDQA9TY2aMk+hEGF9vdkTwezvVSOYtQJyT9M5YOg5XwoN3ga2NG/BbrbzoboPpY77Xv49of37MRcVUfjJzCZwNxgzRr9zmazMdXNdQQ6BhMyPW8S4pqL8/YCJ7u7fE4n2pM5Vo5hVUVTFXiNE06ghMI+KKr7bavQFZvW1BRgY2EMgcBKbrZiiousA+E4yevmBymKKbZPqRDypTFmBWVEUr6IoNyqKMi/52Js83qYoyu3Jv88oirI8+W+xoij/OrmtnjjqynJ42nIbCUVCOfgE9J275HvEu0VnZCkuRjKlfxSO9wmBOdsimJt9zWw+uxmzZObBJdoIm4Q/QM///A8AJV/4fEail0PRBJ97bC+BaIL3LqvgY+tGDJSiQXjyQYiHYcVHYel9Y67TIPMYfc6lsXbtWkwmE43mLvr9/TiiTkxmM4G+XmJRMaGQkxHMJiOC+bz0dQQ48mYrkqQfvbz/95sJ9faQV1rGmjvTrXUSviiDLzcCkHfHbEy2oe1Yg4ODvPrqqwDcfvvtOBzZI5JdKRj9zjhgMkFlMiN5657U4ZJkBHPXoH4Ec0yeHhHMXu8WAAqLNmnGOMGEzO+9YgJ1u47A/NResYvi/StG7HRIxMUuLIA1n85sgw0mHKPfuTyKPinmFX2PP8F1LmEV9mbLm8iKnLE6SmqExVW3jsCcWyQWfXw9oYzVN94MJtuaW+zUlPU0nQWGnvOl8PD+hwH4cN2HKXIWASK/Tte3viXu+YXPY/a4L6vNBuOD0e+MjS/NElHMP2zupjsaw+GooLj4BhQlTnvbk6nzVBH0xIn0XVxqVG7k3CCKzoL6lY4pBvGuIFgkbJVDgYKxWIzTp8Uu0eECc2ur8I+vqPgAJpONA74gL3YPYJMk/njmlRu9DFNYYDY4PyaTRMWsRTwnb0CS4/DWf13yPeJdwvrIUpr+JfBH/TT7mrGZbMzKm5WJ5k4YPzn8ExJKgjvm3EGVRxth0/voz0j09uKsr89I9LKiKHzl2UMc7/Qxp8TNN+5dphWtf/cQdB8T23Zv+48x12lgMBXIyclh2bJlKMAhcxPR04PkFou+ZFD1DlS/C8ZA5rxsf+oUsqywcGMlRSN8v4KDA7z9m8cAuPaBT2Ox2dLK+58/jRyMY5+Xj3PpULIuWZZ59tlniUQi1NXVsXBhetI/A4NpTdVK8di6O3VItcjoGmGR4UwugIV1BOYhD2atODJV6el5DYDiYu0Y5xXvAIGETH2Oi1nO9IjCM91+9pzrw2Uzc+uSETmajjwDg61QNA9ma203DAyuBBwLF5Jz880okQgFv3mDCncFPaEeDnYfzFgd54tgzikWC10DWSkwaxfpui8zgvlA9wG2tmzFaXHyyaWfTB3v+cH/EGtqwj5vLvn3GcE8BtOLdfkebijMwZeQ+X9nhXd5VdX9ALS2PY6SXOiaPXs2NpuNjo4Oent7U9dbip1ITgvyYJTEQPbsgpgoHP3i0VaVg2QZkkhPnz5NNBqlvLycggKxgzQW66OrezMgUVX5IRRF4R9OCkuST1UXU26/snNUGAJzFnN1bREPx+9CRoL9v4CB1gtfNIx4t9hiYSktSTt+ok+seNXm12I1Zc8XpN3fznOnnkNC4lNLtdui4n199P7vTwAo/Ys/z0j08i93NfH03lYcVhM/+INVeOwjtkO8+79iW6nZDvf9H9iM1XSD6cP69esBOGFup7uhlbwyIUr0d4qBjzmZ3C8RNwTm0Wg64uXcIS9Wh5m1d2qjl996/FEigQC5M2Yxd/W6tLLgoW5Ch3qQbGYK3j8vrU/buXMnZ86cweVy8d73vtdI7GdwZVG1SjwOi2BWLR9a+oJpp7qTAnNgWEIcFVkWkzCT6dL9QSeDSLSHgcH9mEw2Cgs2asqf7ewH4P1l+ZqyX77TBMB7l1XgHj6WUZShIIYNfyIixA0MrlCKv/AFQNjtvS9nAwAvnH4hY/cvrJ6BJJnoa29L7QZTSUUwe7PHg3kw2Va17cNRI5iLZ866pHt+b9/3APjowo9S6BAWj+HjJ/D+7/+CJFH+ta8hWbNn/mpgcLH849wqzBI81ublqD9EUeEmHI4qwuFmenu3AWC1WqmrE/ZYR44cSV0rmaSUTUbkzMDEN36K4+wV86SR/ssNDQ0ALFq0KHWsrf0pZDlKUeEmnM4Z/LZ7gJ0DAQqtZv5s1ogF+isQY5SYxbxncTmnlSpeVtZBIgpbLy06Nt6TFJiLi9OOnx4Q2wDmFczLTEMniB8d+hExOcats29lTp5WqPE+8kPkQAD3NZtwrVkz5vq2n+rhH54THfe/3r2UuvKc9BPOboWXviz+vvPbUL5kzHUaGEwlSktLWbxgEQlJZkfrfgqLxa6Bgc52AEzJFWDVKsMgHTkh89aTwtdr9W2zcOWmRye3HD3ModdexmQ2U73h+jSROBGI0f+c6KvzbpuVltivra0tZY1x1113kZMzom8yMJjuVAmPeFr3gCz6n1nFIsN3U+9IgVnYygR0+ilFEaKzJGVHJnBvz+uAQkHBeiyW9AXtgVic17yDSMD7StN93EPRBL/ZI+wxPjrS5uvkK9B1BHIqYNmHMDC4knHUzSfntltRolFuel3knHjp7EtEEpmJCLTa7BRUVKIoMr0t6Yn+nDlWLHYzkWCccCCWkfrGm9EsMqKhIANdnZgtFgoqLt7T/Z32d9jZvpMcaw4fXyzyxSmJBO1//1WIxym4/8O4VqzI3BMwMJhCzHc7eKCyGBn4p1NtgImqShHFfK7px6nzFi9eDAyJoyr22nwAIif7J6C12YXTK+ZYjuRrBMIe49ixY8DQayrLUZqbfwpAVdUfEE7IfO10GwBfnl1BriU7xovjiSEwZzEzCl0srszlP6PvR5bMsOdn0H7goq+XB4UPnzkvP+34mf4zAMzOu3RPrMmi1d/KMyefwSSZ+KPlf6Qpj7W10ffLXwJQ+md/Nub6TnX5+ePH9hCXFT57zRzuXTXCr9B7Gp74mEiIs/5PoP4jY67TwGAqcuMtN2FC4qSpHXtCLFZ5k5MiI4L5/BzZ1kZfe4DcYgfLb5iRVhaPRvn9I98FRGI/Z0FRWnn/C6eR/TFss3Nxr61IHY9EIjz11FPIssxVV12VimIwMLiiyK2E3CoIDwhxFCjLcWCzmOjxR/FH4qlT1Qjm4DQQmLuT9hglxdqEnr/tGSCqKGzI92i2b75wsI2BUIzl1Xksq85Pv3D7t8Xjus+BJTsiuQ0MxpOSL34RLBaU53/PjaFZ+GI+3mh6I2P3L51dC0DnmfQkXZIkkVskFpMHs8AmIxqOE/LFMFtMuPPSF9A7z4oF8uKZszBbLi4ZVlyO841d3wDgwSUPkmcXPvJ9v/gF4QMHsZSVUfLnf57BZ2BgMPX4y1nl5FpMbOnz8VLPAFVVH8FsdtPX9zaDg8Kup7a2FpvNRnt7e5pNhmNePgDhU/1gTM1SJAIx7IOARcI+eyiCebg9RlGRmId1dD5PJNKOyzWX4uIb+H5zF03hKHVuBx+tKBqlhisLQ2DOcm5NRjG/VfB+QIGXHrpov9PEoA8Ac256dNvZAbFlSS8KeKryw4M/JK7EuWP2Hbrt7vrmt1CiUXLvuAPHGL1IfVGFT/3sXQbDcW5ZVMZDt45IhBjqg1/dD+F+mPceuOkfx1SfgcFUprCwkPrZS0CChl4RudzVKCYOagRzIm5EMI8kMBBh57Piddpw7zzM1vSf4x1P/Yq+9lYKq2aw9v0fTr92Tyeh/d1IVhMF985HMgkhX1EUnnvuObxeL6Wlpdx8880T82QMDKYakgRzrhN/nxbCj8kkUVMoopjPeQOpUz1JgdmvY5GRTQJzIhGit/ctQN9/+akOEW15T1mBpuwXO4UX6sjo5dyBo3BuOzjyYNUnMtxiA4PsxD5nDoUf+xgoCh/dHEJSFJ499WzG7l9eOx+A9lMnNGV5JSISeKB76gvMahtzix2pcYpKR/K5qc/1Yvj18V9zqv8UVZ4qHlj8AADh48fp+s9vinv9/Vcxezznu4WBQdZTZLPw17NFYMlfn2jBj5uqKhHI1njuB0C6TcahQ4dS11rKXJhybMi+KDb/BDd8ChM51Y+EhH1WHpJ1aLynvnaqPYaiyJw790MAZtV8huPBCP/VKPIO/eu8Kiwmw44QDIE567ltqehgvtxzG7KrGJp2wOGnLurahE9EMJtGbJ8+MyAimLNFYG4ebOa5U89hlsx8dvlnNeXBvfsY/O1vkex2Sv9ibCvb4ViC7+4Lc84bZElVLt/+cD2m4Z1JNAC/+CD0HIeSBXDvj8E09SemBgZj4fo7b8KqmGmNe5HyKuhuaiQRj2NziM9+NBy/wB2uPLY/eYpoOEHN0iJm16fbFHWePc27zz8FksR7/uhPsAzzEox1B+l/TkQ15d9Vi3XYttOtW7fS0NCAzWbjAx/4AFbDg9DgSmbO9eLxzFBkYU2REJgbe4ZsMnKS2xkHdRbCVIEZpv7vuLd3K7IcJjdnGXZ7WVrZuVCE7f1+HCaJ95bkpZUdaO7nQMsAeU4rdy6vHCpQFGaf/YX4e80fgiPdl9DA4Eqm+POfw1xSjPtEKzceMvF229ucGzyXkXuXzxWia8dprcBcUC76sL6OoKZsqtGfbGN+mUtTlhKY516cwNwX7uN7+4X38l+t+SvsZjtyKETrn/8FSjRK/gc+QM6NN2ao5QYGU5tPVBWzNs9NVzTOP5xqZeaMT2Iy2eju/j2BgJgjLF++HIB9+/YhJ63CJEnCMTcfGLKEMIDwSbEAb0++NgDBYDBlj7Fs2TIAurtfIRg8jcNeSVHpnXzpaDMxReFjlUVsLDDsCFUMgTnLmVvqYc2sAjqiDt6Z80Vx8Hd/A4GeC14rpyKYhyYNwViQ9kA7VpOV6pzq0S6dUvzgwA9IKAnurL2Tmtz06BtFlun8hthOVfjJB7FWVurd4qKIJWS+8Mu9nOiTKcu18+MH1uCyDdvWFY/AEx+Fll2QWw1/8KQxITO4IsgpzOPqUjGQCZdXE0/I9LY2Y3cLgTOSJV6BE0VTg5eT73ZisZq45kPz07yV47EYL//Pd1BkmZW33knl/KEdF0pcpvdXx1CiMs7lJbhWDYlIx44d4403hJB23333UVKSnrzVwOCKQ41gPvc2xESiqTklIrrtZJcvdVqRVfyOe2M6C2GKOimb+sPlrq6XACgtvVVT9kSH2CJ7R0k+edb07eg/2iaCCj64uhrHsMgdzrxBQf8hEb28/gvj1GoDg+zE7PFQ9mWRZ+WBNyU8QZmfN/w8I/cunT0HyWTC29xELJye0C+/THir93cE9C6dUvQl21hQrk1w3nHmJAAVFykwf3ffd/FFfVxdcTU3zBA7NDq//g2ip09jq62l7G//JkOtNjCY+pgkiW8tmIHDJPHrjj7e8juoKL8XgLONDwMwZ84c8vLy6O/vp7GxMXWtKqK6uw2BGcTuz0hSYHYME5gPHjxIIpFg7ty55OfnoygyjcnXdubMT/Pj1n72+4JU2q18tfby9aXpyNQfMRtcEHVL4z+3rECp2QCBLnjhTy9olZGKYPYMrbg0+4R3anVONRbTxXliTSbHe4/z4pkXsZgsfHaZNnp58MUXCR88iKWkhOJPf/qy65Flhb/8zQFePdqF2wo//9RayvOGkmqRiMNTn4bTr4OrGB54DvJnjH5DA4NpxtU3b6RUziNqUoiUzqDjzEkcSYE57DcEZpV4NMGbvxKRO2veO1uT+Gb7Ez+nu/EMeaVlbPjwx9LKBjafJdYWwFzooOCeuSlhurOzk6effhqAG2+8kfnzL37LqYHBtMVTAmVLIR4Wu7uAhRVivHO0fXDoNLMJmyQRTMhEstSTMJEI09PzOgClpbenlykKT7QLgfn+isK0siZvkM2H2rGYJB7cMCzvhqLAa18Tf2/4Eji1thoGBlc6ue99L661a3H4o3z2JZnnTj5Lf7h/zPe12uyUzJyNosh0nk33YU5FMHdmQQRzso1qm1UC/X0MdndhdTgpqLxwgr/dHbv5zYnfYJEsPHTVQ0iSxODmzfT/+tdINhtV3/xPTE7nBe9jYDCdqHU5+HLSKuMvjjXjqfwMkmSjs/N5Bn2HMZlMrEgmvNy7d2/qOkddAUjg7AXZ2GFKrNVPYiBK3K5grRRBCIqipF6zlStXAtDZ+QI+/xHs9nL6c9/Hf5wVtpD/UTfDSOw3AkNgngbcuqScQreNhg4/h6/6d7DnwrEXYd9j571OiQrRx2QfSrzQ4hdZxKs92RG9/N/7/hsFhQ/VfUgTcS0HAnR981sAlPzZn2Fya1fQLwZFUfjqc4d5bn8bbpuZv1jtYH7ZsG0QiTg893k4+rx47T/2NBTPveznZGCQjTjmFXBdTj0mRSJWUMzhffuGBOaAMYBR2b25kcHuEIWVbpbflL4I1XhwH7tfeBrJZOL2L/4VNsfQhCmnVcL/dhuYJIruX4DJIRYA+/r6eOyxx4hGoyxZsoSNGzdO6PMxMJjSzL9FPB59AYBFFcIe4mj7UASzJEkUJXcjDTIioicZuawoU9tHvrd3G4lEgJycJTid6f3Ktj4frZEYMx021uen+5P+71tnkBV4X30llfnDBJqjL0DbPiK2AlirXbw3MDAQfUflv/0rJrebq04orNsf4tcnfp2Re1fMEwvFrcePph1X7Sb6O4Mo8tReEVNF8JEWGW0nxHMqr52H6QI2gqF4iL9/++8B+NTST1GbX0vo8BHa/vYrAJR++cs4Fiw43y0MDKYtn51Rwto8Nx3RGH91NkZVlQhMOXXqGyiKQn19PQBHjx4lGBTfR7PHhm1WLpIiET7WO9qtrxhCR7wABEqVlFd8a2srXV1duFwu5s+fTyIR4fQZ4fVeVvPn/NHRDsKywkcqCrmpyNitPhJDYJ4G2C1mPrxGTCj+690w3P7/RMHv/hq8p0e9TokLgVka5tPZ6msFyAp7jN0du9nashWXxcUfLv1DTXn3979PvLMTx+LF5N1912XVoSgK/7b5KL94pwmbxcSPP76GOXnDBkPxKDz5IBx8HKwu+MivoWL55T4lA4OsRZIkZm5awIq4iII72edDNkcBCPmjk9m0KUNn4yB7Xz4HElz3kTrM5qGf4ODgAL/7/n8BcPV991M5f2jCFGkapOSIGPTk31WLbYZY4PL7/fz85z/H5/NRU1PDXXfdlWa3YWBwxbMo+dt/9AWQE8wpcWMzm2jqDeILD+2sKLaqAnP6sHgouZ82AeBUImWPUXKbpuyXyejlD1cUYhrWP/QGojyxW+xa+8w1w3JuxKOp6OVzNR8A2+UtzhsYXAlYq6oo++rfAfDgKzK/e/tRgrGxRxdXLVwCQOvRw2nHHW4rzhwr8aiMry+sd+mUQJaVVATzSIG5pUE8p+qFiy94n+/u+y7NvmbmFczjs8s+S6yri5bPfx4lHCbv3vdT8AcfyXzjDQyyBLMk8YNFNRRazbzR6+NFy0ewWHLp69tBb+9W8vPzmTt3LolEgj179qSucy4WuV9CDd7JavqUQRWY/WVDC3a7du0CoL6+HovFQkvrzwmHW3G55vPNgZWcDkVY6HbwL/Omvl42GRgC8zThUxtn47KZef1YF3vzb4FFd0PUD7+6H8KDutcoseTkyjIkMKsRzFWeC29ZmkwUReG/9gox5hNLPkGRsyitPHziBL0/exQkifJ//Eck06V/1GVZ4R+eP8KPtp3FYpL4/kdWcnXtsHqiQXj8/mTkch587FmouXosT8vAIKtxrSyl3jqHcjkf2WzhjbdfREHB5526k6CJIh5L8NpPG1AUqL9xBhXDfL4UReH3j/w3gb5eqhYsZu09H0yVJQYjeH9+FJMs4V5XgWet2A4XDod57LHH6O3tpby8nPvvv99I6mdgMJLyZVAwW1iHNe3AajYxv1xE8Q6PYi5ORjD3j4hgVgXmoWR/U49EIkx3z2sAlJamC8ydkRibu/sxAR8qT7fH+NnbjYRjMtfVlbCgfFgEzq5HwHsSCmtpr7hlvJtvYJD15N11FznvuQVnFD7+ay+PHfi/Md9TFV9bjzcgJ9L7n6Iq0Yf1tk5dH+bB7hDxqIynwJ7azabSfFQVmJee9x77uvbxWMNjmCUz/7zhnzHHErR84YvEOztxrlpF+T/8g7GobnDFU+mw8fDCGiTgm+f66Sl7CICTp76BLMdYu3YtIETTeFzsKHUuEnpG+Fgfik6C4yuFWHeQeFcQyWEmlBwiDQwMcPjwYSRJYs2aNUSjvTQ2fh+AvYVf5dmuAdxmEz9aMguX2ZBS9TBelWlCkcfOJ9bPAuC/Xj0J7/sulCyAnuPCG1jWmRzFtBHMLb6kRcYUj2B+rek1DnYfpNBRyMcXfTytTFEUOv7paxCPU3D/h3EuXXLJ90/ICg89dZBHd5zDZjHxyMdWcdOiYVnZwwPwiw/AqVfBVQSfeAFmrh3r0zIwyGpMNjO5G2ZwfXQxNtlMe1cHIU8T/v4IiSt4AAOw64Wz9HUEyS9zsfZ9c9LKdr/wNKd3v4Pd5eb2L/xFasuoHE3Q8/OjyL4owUKF/DvFdeFwmF/84hd0dHRQWFjIRz/6URwOh6ZOA4MrHkkaimI+8iwAS6vyAdjX1Jc6rdIuxkHeUSKYp7LA3ON9nUTCT07OElyu9ETHP2/zElfgtpI8qhxDdmgDwRg/2X4WgD++tnboAl8HbBGJkbnt31FMxqKVgcGFkJLBLHJZEfPbgP/8Ib2hsW09zyksJr+sgmgoRFfjmbQyVWDuafGPqY7xRG2b2laVsN9P97mzmC0WKubXjXr9YHSQv9n2NygofHLJJ1mUV0fblx8ifPAg1spKqr/735hstlGvNzC4kri+KJcv1ZQhA3/XtZhe2woCgRM0N/+EuXPnUlpais/n4/BhsbhjKXQQyVFQognCJ/rOf/NpTOiwiF52LihMqaK7du1ClmUWLVpEQUEBJ0/9G/H4AE2eD/ONNrGj6z/rZjDXZcy7RsMQmKcRn7lmDh67hW0ne3i7JQr3/woc+XDy5aFkLcNQEsns6MNWXzqCHQBUuCsmpM2XQzQR5Zu7hQ/OHy//Y1zW9K1XA888S2jPHsxFRZT86Z9e8v1jCZkvPbGf3+xpwWk185OPr+HGhUPisiPUAf97C5x7C3Iq4MGXDFsMA4MkOZuqcFrt3BBfCgoE3OeI2LxXdBRzx5kB9r/ShCTBjR9fiMU2ZLNz7tB+tv3yZwDc+rk/I7ekFBD9c+8vjxFr9mEusNNRLyOZTQSDQR599FGam5vJzc3lgQcewOPx6NZrYGAALL5bPB55BuJR1swSCevebRyaVFUnxddujcAsIptlZer6yHd0PAdAefndacejssyjbT0APFhVnFb247fO4AvH2TC3iLVzhu3MeuUfxO63utth3s3j2m4Dg+mEpaCAOd9/hJjVxKb9UV7/1l+M+Z7Vi0SATEvDobTjqmjrbZ26ArPatpECc+vxI6AolM+dj9Vm171WURT+Yfs/0OpvZWHhQj679DO0f/Xv8f3+95hycqj+wQ+wFBbqXmtgcKXyl7PLubEwl754gv8n/Q0+cjhz9r8Jh5u5+mqxw/rtt99GUYQVhK9CPAb3dU1amycTRVEI7usEwLm8BIBIJMLu3bsBWL9+Pb292+noeIY2aTb/Fv4AMUXhszNKuKfMSHx8PgyBeRqR77LxR9eKCLe/e/Ywkdwa+OCjIJlh+7dhx8Np50sWMXFShm296gmKyUipq3RiGn0Z/OLoL2jxt1CbV8t98+9LK4v39tL1/4QHddmX/wpzXt4l3dsXjvGpn+3mhQNteOwWfvbJq9g4b9jErHE7q/b8JXQfExHin/wdlIy+Am9gcKVhcljwXFNFtVzEokgpSDCYf5TTJ85OdtMmhUgwxu//94iwxrh5JuVzhvqkwe4uXvzOf6AoMuve/yHmrlkHgCIr9D15kvCxXkwuC8UPLkG2Cc/ln/70p7S1tVFQUMCDDz5Ifn7+JD0zA4MsoaIeShdDsAeO/5Y1s4QwsftcL3IySZYqMPeMGBabzSLxnZwITVx7L4FotBevdwuSZKas7M60ss3dA3RF48x3OdgwLLlfXyDKT94S/fGf3zx/6IKmnSKfhNkO7/m3CWm/gcF0wrl4MZav/AkACx7bydnXnh/T/aqTPsxNRw6mHS+uziKBuTrdw705+VzOZ4+x1beVV5texWP18J/X/Cd9//5NBp55BsnpZMYjj+Comz/qtQYGVypmSeKHi2tY6nHSFDXzXdt/EJZljh3/e5YsWYLH46Grq4tTp04B4K9QQILQUS9yaOouoo8XsVY/8a4QJrcVx3whGO/Zs4dIJEJNTQ3l5UUcO/539JPPNy3/gi8Bd5Tk8Q+1lZPc8qmPITBPM/7wmjnUlrg50xPgB1tOw5xr4c7viMKX/xbe/XHq3JTAHBVWGbFEjL5IHybJRIF9aq7M+BI+Hjn4CAB/teavsJgsaeWd//IvJPr6cK1bR+773ndJ927rD/GB/9nB1hPdFLltPPbptVw1e9gK+b7H4NG7sMZ9MPdm+NQrUDBrrE/JwGDaUXDdLKJShKtZQrmSD5LMy1tfoLf3yspWrCgKbzx2HJ83TMnMHNbeOWSNEY9Gef5b/0bYN8is+lVc/YGPpK4Z2HyW4L4uJJuJ4geXYC11EQ6H+b//+z+6urooLi7mwQcfpKBgavbTBgZTCkmC1Q+Kv/f8lOoCJ2W5dvqDMU51CxFkNIHZZBJbIBNTVGDu6noJRYlTWLABuy09SvknrSJg4JPVxWk+pY9sPUMgmuDa+SWsqkmOcWIheO4L4u8NfwKFsyek/QYG041FH/4sR26dj1mBgT//W4KHDl34olGoWbYCgOYjh4hHh5IlF1S4kEwS/Z1BYtGpad8zmkXG2X0i0dis5HMbyZGeIzzb9ywA/3T1P+L48ZP0PfYYktXKjIe/h2ul/nUGBgbgtpj5+bI5VNqtHImV8n3pL+nqfZuenhdSUcxvvPEGiqIQd4J9Th7EFYKHuie55RNPcK+I3HYtL0Eym4jH47z11lsAbNiwgbNn/5ueUA/fNP0THXEHq3JdfG9hTVqyZAN9DIF5mmG3mPm3e8Sq8PffOM2pLj+s/Bjc/p/ihN/+Bez9OTDkvawm++sJiclIsaMYs8nMVOS3/b8lEAuwqWoTG6o2pJX5Xn2Vwc0vITmdVPzLP19S4ofDrQPc/fB2jnX4qC1x88znNlA/I18URoNi4vXc50GO0Vx9J9z/ODhyz3tPA4MrFclqJr7MjITETeFF2CMFRGMiKd3goH7S0elIw1ttnN7bhdVu5pZPLcZsFT+5iizz0sPfovPMKfJKy7j9i3+Z8l32vdaE/61WMEsUfXQRthk5NDc3s2fPHrxeL+Xl5Tz44IPk5hr9j4HBRbP0A2BxwpktSH1nU1HM75wR/nszkgJzlyaCWVhwJeSpKTB3dDwDaO0xdg8E2DUQIM9i5r5hWzk7BsL87O1GAP5sePTylq+LxH7FdbDpL8e72QYG05rr//XH7Fpswx5JcOZTnyCSjBi8VDwFhZTMmkM8GqElmRgPwGI1U1DuQlHAOwV9mMP+GD5vGIvVREHZkI3hQFcnvW0t2JwuKuYv0FzXFeziT9/4U+LE+fC8D7Hs57vw/uhHYDZT9e3/wr1+/UQ+DQODrKTcbuUXy+aQazHxLqv4Pl/iyPF/YcnScjweD21tbRw7dgwA1wphAaqKrVcKSkImeECI6q6V/7+9+w6Pqsr/OP4+05NJ7z0kIYReQq+CYkFFxN67qGtZ13V3Leu6/tZ13XVd195WEQt27CiK9N57DZBAeu+Zfn9/TARRSghhMkm+r+eZJ2HKvZ97knyZOffcc7xX7efn59PY2EhSUhKRUeVs2/8uT/Ioe7UkugWYeKtfGgGyqF+LSCt1QsPTI7lsSBIOt4e731+PzemGYbceuuTxy7th+YuHOpibz4of7GAOjDridtvb9ortLKtfhl7puX/I4R+A3DU1FD32GAAx992HKanlixTO3lzEZa8up7TOzoj0CGbdMZqUyOY3RCXb4PUJsP4d72Wjk59jT/dbQG849kaF6OJSLhhGiS0PiwpgtK0HZkKorKxk+vTpVFdXt3e8U66isJ4lH+0G4LSrsgj72YesRTPfYteKJZgCApnyh0cICAr2jlz+PpfauftBQcRlPbD0CGfTpk289dZbOJ1O0tPTuf7667FarUfbrRDiSALCoO9F3u9Xv8GY7t73OQt2ej9gJJiNBOh01KCjynnoUtGfpshwuxt9GrclGhpyqKldj15vJTr68PmSX9jvnVfwhsQoggyHBgw8NWcnTU435/SJO3QSPX8tLHselA6mvAhGWbhGiJMRaY0m5G9/Zl2GQl/bSO6NN+HIz2/VttIGDgZg34a1h90f2817krlkn/+dtC/J82aKTglG97MOmdyN3mNI7T8QveHwz1GNzkbunnc3JY0ldDekcd0nlVTNnIkymUh69r8En3GG7w5AiA6uV1AAHwzIIFivY6UaxfOeW9i280+MGXP4KOaAfpEoow5Hbi3OUv97n3OqNG2rxNPgxBATgDExiKamJg4cOADA+PFDWLP1EZ7kEfaq7qRYTHwysDvRJln0uKWkg7mTeuT83qRFWdleVMtjX2313jnyTjjrcUCDOQ+hGvYD4Gn0FpRqezWAX06P4dE8PL7icTQ0rux5Jelh6Yc9XvKPJ3GXlROQnU341Ve1aJtOt4f/+2obv3lvHY0ONxdlJ/L2TcMJDTSCpsGa6d7O5bIdENUDbp0Hg68/FYcnRKdjsVqp7V6Py+Mk3RxEWmU/4uPiqaqqYvr06Z16ugxHk4s5r23B5fTQc2QcWcPjDj62fs7XrPlqFjq9ngvue4jolG5omkbtd7nUzTsAOoi4PAtLvyh+/PFHZs2ahdvtJiEhgauvvpqAgIB2PDIhOrBh07xf10zn9FTvB4Wle8qxOd3olCLT6l1wanfDoQVJ9XrvyRx/7GAuLPwIgNjY8w+OtAbY1WDju/JazDrFLUmHBgxszq/h03X5mPQ6Hjy3efSgyw5f/AY0j/c9YvJQnx6DEJ3Vhb0uYf5tg9mWDJ6yMvKuuRb7nj0nvJ2jdTDHNHcwl+b5Xwdzaa43008Zf/LTMaQNHHLY/R7Nw8NLHmZbxTbSTQk8/KmO+tnforNaSX7tNYInTvRNcCE6kewQKx8OzCBYr1ipRvGPutMJilhKaGgopaWllJSUoDMbCBzkHcHbsKKonRP7TsPyQgCsw+NRSrF06VLcbjdpad0oqn+Dx5y3s1dlkmIxMmtQ94PTqImWkQ7mTirYYuSFqwZhMuh4f9UBZq1rPnM+6m64+A3Qm9A35gLgrvCOdKlz1Hlfawpuj8jH9HnO52wq30SIPoQ7B9552GO1382h5vPPUWYz8X9/HKU7/q91cY2NK15bwZtL92HQKf46uTdPXzoAk0EHVXnwzlT4+l5w2WDg1TBtAcT1PTUHJ0Qn1ef8s9ha7Z3PaqjFzFlDzicpKYmamhqmT59OcXFxOydse5pH44fp26gqbiQiwcrYyw9dhp6zZiXzp78GwFm33UNq/4FoHo2ab/ZRtzAfdIqIK3riSrfw9ttvs3jxYpRSTJo0iR49eqDX++fURUJ0CAkDIeMMcDYQs30GfRJCsDk9LG+eJqNHoHfk7q5G+8GXGA3eDhKXs9rXaY/J43FQ1Dw9RkLC5Yc99tJ+76Wul8dFHBxxo2kaf/t6GwA3jO5GamTzVRDf/9l7Ej2yO0x42Efphej8lFI8Mv5xnrsymB1J4CouJu+qq2nauPGEthOf2RNzoJWqwnwqCwsO3n9wBHOu/3Ywx/6sg9lpt5G3eQMA3QZkH7xf0zSeWfsMc/fPJa0+kH++p8e6bSf68HBSZszAOmK4T7ML0Zl4O5m7E6TTWKVGcXd+Iv1Hehcb37t3L3a7HeuIeAAa1pbgsXf+xf6cJQ3Y99agTDqsg2OpqKhg+fLlAMT0b+DuyknsVZkkm3XMGpQpncutIB3MnVifhFAeu6APAA98uplle7xTYNDvErj2M/SB3g8e7u+ehJKtftvBXG2r5pm1zwAwNXwqQaZDC0Y4i4spevRRAGL++AfMacdfmGb+jlLOe24xa/OqiA+18OFtI7lhdBpK88Dyl+ClEbB3PgSEw0X/gwtfApNcki7EiYrplk5dXAPFTbmYdQrth3yuueoaUlNTqaur44033jg4D1hnsXp2LrmbyjEHGjj3jn6YLN7LQHM3refr/z6JpnkYeclV9DntDDSnh8oPdx6ac/nqXuRbqnjllVfIzc3FarVyzTXXMHy4fMASok2M/b3364qXOTvT+//6/B3eDtksa3MH889GMBuN3iu6nH7WwVxePg+ns5IgaxYhwf0P3p9vc/BpSRUKuCM55uD9324pZlVuJRFWE3ed3t1757YvYdVroDPCRa+DUa6OEKItpYakcv9pj/D4FXo2dNfjrqkh78abqF+ytMXb0BsMZAweBsDulYdeF5FoRW/QUVPahK3B2ebZW0vTNEryvJ8nY7od+jyZu2EdLruduO49CI48dGXFK5te4a2tb9E/V/GPGW60nH24YmNIfe89Avr28Xl+ITqb7BArn2VnEa23s1314Q9NcQR3D8HhcLBo0SJMCUGYuoWg2d00ru/8czHXL/eO1A4cFIMy6/nuu+9wu93oe1q4p6ovxSqBLIuTLwf3lM7lVpIO5k7uiqHJXD8yFYfbw7S317KloMb7QLcx6EdeB4C7qhxeP526fQsA/+tgfnb9s1TbqxkWN4zBgYMP3q95PBQ+8CCemhqsp40j/KpjT41RZ3Pyp082ceNbq6locDCmexRf3z2Gwanh3jkI3zgL5jwIzkbocxHcuQr6X3qqD0+ITm3weVNYUfoVTa4GTDUO7IuKueaaa+jXrx9Op5MPPviARYsWoWlae0c9afs2lrH6632g4Myb+xAa7b1s/cC2zXzx1OO4nU4GnHUeIy+5EneDk7I3NtO0sQxl0hN6dQ8WHljNzJkzaWxsJD09ndtvv52MjIx2PiohOpHUUZA8HGzVXOqaDXg7X90e7WAH89b6Qwv6GYzekT7+1sFcUPgBAAkJlx22oPGzeSU4NY0pMWGkBXqn/Ki1OQ9OlXbfmT0IsRihKte7eDHAWX+DxGyEEG1vcsZkzs66gH9eBOuyQ9AaGzlw221UzpjR4vc9mSPGALDrZx3Mer2O6BTv57XivTVtH7yVasqaaKp1YAkyEhJ16KTVT9l7DD+0QPv0LdN5ef2LTF6l8fCHLnS1DVhPG0fln/6EOf34A4aEEC3TLziQb4cOJE1fSSEJvJo4lLKIIJYvX05ZWRlBIxMAqF9aiObp+J/HjsbT5Dq4oGHQyAR27tzJ7t27KewWxWsxp1OnQhkRUMk3Q7OJN0vncmtJB3Mnp5Ti0cl9mDwggXq7ixumryKn1LvisCHFe+m2y5oFLhv1u74BwOpxt1veX1pdvJpPdn2CQWfg4eEPH/ZBqnL6WzSuWIE+IoKEv//9sMd+admecs7572I+XHMAk0HHw+f2YsZNw4h0FsMnN8H/ToeCNRCcAFd+AJdOh6CYo25PCNEy3YeOIDgpjhVlX6JpGnULDuDYWMlFF13ExOZ59ebNm8eHH35IQ0NDO6dtvbIDdfzwpvcS9BFT0kntEwlAwc7tfPbkY7gcdvpOOIszbrwNd4WNspc34sitRR9iou78EN74fiYrVqxAKcXEiRO55pprCA72r5N9QnR4SsH4BwGI2/wygyIclNXZWbannIHB3hNCG+sacTd3/Bwcweyqbpe4R9LYuI/KysXodBbi4i48eH9ek533iyrQAb/vdmje96e+20lJrZ1BKWFcNSzFO+/yJzeBvQayzoPht/v+IIToQh4e8TDJ4Wn886wG1p6VCm43Jf94ksLf34+nBe97uvUfhNESQOm+PdSUHppaLCEzDICinOpTlPzEFe6uBrzZfvpc5nI42LtuFQCZzR3MM7fPZPqCp3nwQw/X/uhGeTQib7+N5JdeQgsMPOK2hRCtlxRg5tvhw8nW51BLMJ/1ncDapDS+nj0bS58I9KFmXGVN2LZVtHfUU6Z+WSGaw425exhahJGv5nzPkqw+fJk6Bqcycb5lBx8PHX/Y4sjixEkHcxeg0ymevnQAYzOjKK93cOkry1i/vwpjYiIATn0KXPQ/nHrvmRrT8pdhxcvgbt95eGwuG48tfwyAW/vdetjCfo3r11P6jHfajPgn/o4hKuqI26hqcPDQZ5u56vWVFFQ30TcxhK/vHsOtQ8LQz/0LvDAEtnwKejOMuQ/uXAlZk079wQnRRSidjnFXXUepbT/rKxcCUDVrF7ZdVYwZM4Yrr7wSs9nMjh07eOmll9i1a1c7Jz5xtRVNfP3CRpx2N5lDY8k+OxWA/B1bmfWPR3HabfQaO4Ezp92JbUcVJS9swFXehCvWwLL0/Xww+xOqq6uJjY3llltuYcyYMehaMJe8EKIVMiZA5tkoRz3/F/w5AJ+tLyDGbCQKD/VuDznN8zCbjBEAOBz+84HrQP47AMTFXoDRGHbw/mdyS3BpcFFsOJnNo7HX5lXx7so8DDrFPy7qh04BX90LBWshNBmmvODtdBdCnDJWo5UXzniBEEsY/xxcwKq7x6MLDKR29mxyr7gCfeGxF9cymEykZ3sX4Ny14tAo5p86mH/q1PUHP3V2J3QPO3hf7qb1OJqaiOmWQWhMLP/b/D/mz/g7T//PzcB9GvqwMBKff46Ye+9FyVoTQpwyYWYrHw0dyxTd93iUnpVp/XgpKJYf164j+LQkAGrnH+gUV5X+ksfupn6pdx774AnJvPPjfN7K6M+WuEwMmpMbtFm8MnQKRr18/jpZ0oJdhMmg49VrB3N6zxiqGp1c9fpK1jm8Z4id+fnQ/1Kc/S8DwOiywXcPeEf17lvUbplf2fgKebV5dA/rzi39bjl4v6uykoLf3QcuFxHXX0fw+PG/eq3bozFz5X4mPL2AmSv3Y9ApfntGJp9dk0aPDU/CM31h2XPgdkC/y+DutTDxUbCE/GpbQoiT023gYEJjM9hdu5JcLR88UPnuduz7a8nKyuKOO+4gNTWVhoYGZs6cyVdffUVTU9PxN+wHbA1Ovn5+I401DhJ7hHHGdb1QSrF33Wo+ffwRHE2N9Bg5lrOn3UPtnP1UvL0Np83OtvgyPrAvZPOOrRgMBiZOnMi0adNIbD7xJ4Q4hc56HHQG+pZ+SS+Vx5wtxTQ6XGTgPbG+vtY7qtBsjgXAbi9pt6g/53LVU1T0KQBJSdcdvH9Po42PSyrRq0Ojl+0uNw/N2oymwbRx6fSMC4Gl/4WNM8EYCJe/C4ER7XEYQnQ5qSGpPDvhWYw6I/8OWsLmJ6/FlJ6OfXcOkU88Qflrr6O5jj6wJ2ukd5qMbYvmHez8icsIRSkoza3D6fCPq09/PoL5J9sXzQMgc+RonpvzKPzlP9z3uYcgG1jHjSXtyy8IOfPMdkgrRNcTFBDL04Mv5A/a0wRptRyIiOP2ajezo13ogow4C+qx7apq75htrmFlEZ5GF/rUYJ6tLeRRYwQV1jDitEL+ZXmBs9UQDAZZi6ItSAdzFxJoMvDqtYO5ZHASTU43t35fgKYUzqIiNJcLp9E7X59x8M3ekS1FG2HGZHjrfEKrt/k06/aK7by19S0Uir+O+ium5tHVeDwU3n8/ruJiAgYNIub++3/12rV5VVz00lIe+mwz1Y1ORqZHMve6eH7X9ALGFwbB8hfA2eBdTf7WeXDx6xCW7NPjE6IrUUox/rpbAcXK3JmQYUFzeih/Ywv2vdWEhYVx/fXXc+aZZ6LX61m7di3PP/88hYWFeDye9o5/VC6nm29f2UxVcSMRCVYm3d4PvVHHtsXz+fypv+FyOuh3+lmcc/3dVLy5jdqFB9hlKOTT0NUsq9qEzWYjPT2d3/zmN4wZMwa9jNwRwjeie8CQm1Gah/9a36LJ4eTLDYV0x9tJs6amEQCzubmz1l6CprV/LSou/hy3u56w0KEEB/c6eP/f9xTh1uDyuIiDcy//5/td7CypIzUykHvOyITtX8Nc71VhTH0VEga2wxEI0XUNjh3MY6O8f4OPFb3B2r9fRtill6BcLsr+8x9yr7wK++7dR3xtevZQAoJDKD+QR+m+PQCYAwxEJQfj8Wh+MQ9zfZWN2nIbRoueyCTvguxNdbXsWbsSpRQ7lr3PuD98zOjtGh6zibi/Pkryq69ijJEpCYXwpaCgHmSrifxL/yhZ2jYaTBbuya/kT6ODKTUr6n7c36lGMXscbuoW5ZMTpOOGvgaeqXbg0hsZqS3mactzXDz4Xyglgwzbit92MCulLlVKbVVKeZRSQ47xvHOUUjuVUjlKqQd8mbEjMup1PHVJf+6a0B270lNqCfXOBbZjD+7muZf18QO8U0Wc/mewhELuYgZteBDengI7v4NTPEez3W3n4aUP49bcXN3ragZEDzj4mPXrb2hYthx9RASJ/30GZTQefGxLQQ03vbWai19exsb8GlKDFZ+N3s9Mw1/p9sF4WDcD3E7ofSFMWwjXzoLEwb8OILokqTmnVvchfQmOHgFofLdpOpb+kWh2N2VvbqVpewU6nY7Ro0czbdo0UlJSaGxsZNeuXbz22mvs27fP797ouJ0evn1lC4W7q7GGmjj/rgGYAgys+fozvn3haTSPh6EXXMKowZdR9Ow6tu7fyWeWVSwybKfO3kBsbCxXX3011157LRERMoqwq5K6044mPATBCWS5dnKr/hveWpZLT80JwJLqOgD0egtGYzia5sThrGzPtGiamwP5bwGQlHTtwfuXVtUxu7yGQL2OP6bFA951J15bvBedgv9cNgBL8TqYdSugwRmPQu8L2uEIhL+QutN+JmdM5oFh3qb826Z/M++qnlTdczeG+Hhsmzezd+pFFD/xBK6qw0cQ6g1Geo0ZD8CWBT8cvD8xyztPfP729q1PAPu3eTMk9ghHp/NOvbN9yQLcLhchTU0M/3IHFic4xmST+c1swq+44pjr54jOReqOf1EqlTMG/oe/qCe5XvsfZo+NH3By2Rgrb2Ojbkt5e0dsM8WL83k+XnHNqEA2ulyEeqq4V/snvzd/xKhBbxy8Wk20Db/tYAa2ABcBR52jQSmlB14EJgG9gSuVUr19E6/jUkpx/9lZvHH9EA5EeOfbeeK/n1FY7QDArbnBZIVxf4DfboLTHsClD4S9C+D9y+HZAbDoKag7NZeMvrD+BXZX7SY1JJW7B9198P7ab78laPZs0OlIfPrfGGO9xWBXSR2/eW8t5z+/hIU7ihhv2s5nqbNYoL+dQWsfQO1fDkYrZF8Pd62Gy2bIyB1xJFJzTrGhF1yO0oVQU7qfnfp1WIfHgctDxTvbqF9VhKZpxMbGcuONN3LJJZdgNpspLi5mxowZvPnmm+zatcsvOprdbg9z/reF/VsrsAQZmXzPQAKC9Xz/6nMsfOcNAMZfcjMZtgEs+mwuH2iLWWjaRhX1hIaGMnXqVG677TYyMzPlw5WQutNeAsLggucAuM/4Ca6S7TgqnYQYdOQ2Ochr8s7DfHCaDFtheyUFoKxsLo2N+7BYkoiOPhsAt6bx1xxvrrtSYogzG6lpdPL7jzaiaXDX6ZkMNh2Ady8GZyMMvBrG/K49D0P4B6k77ejqXlfz4DDvYqNPrnqSbxOLSPvyC8Iuvxzcbqrefoc9Z59DxZvT8TgcB1/XZ7x3YeQdSxbicnpPhqX09p6gztva/h3MB5o7mFN6RzQv6ryAtW++CkBaSTUlkXo8//kzA/73HqYkmQ6sC5K642dCQwcxeNCbnKNbzFPqHvo7N1JvUPy7l4Uz8vP5tLACjx987motm9vDy7uLmOCqZHq6GTcwwTmXf6t7GG0qZHD2ewQESC1qa4b2DnA0mqZtB4734XsYkKNp2t7m534ATAF8O59DB3VGr1j2nTsG2+tbiCnaxzu7wBQBBTV1h54UEAYTHmSFqy9jAvfCmulQtQ/mPQ7zn4DU0dDzfOh5XptMM7G6eDUzts5Ar/Q8MeYJAo3eeaKbNm+m8AHvm7GY++8nYPgI5u8sZfrSXNbsOsAo3VaeNq1hkmkDga4a+KnvOyEbBl8PfS8Gc/BJ5xOdl9ScU6/PuG6s+GwSjZUfsWLWB8T9IZOogGTqFhygelYOjrw6wqZkoDPp6du3LyUlJRgMBpYvX86BAweYOXMmsbGxjBw5kt69e2MymXx+DB63hx/e2Mq+jeWYAw1MuXcgFquTj//vMQp3bcdgCmDYuGvYtaWU79iC0+i94iM6OppRo0bRr18/DAa//a9X+JjUnXaWeSYMuhbz+nd4xvgSf8v7G2Oy0pldXsOSqnpSA8wEWJKpr99BU9N+QkL6t0tMTdPI2+/tqElJuRmdzltDPi6uZHN9EwlmI7cnx6BpGg9+tomiGhsDk8O4p58b3p4K9hroNRkmPyeL+gmpO37gql5XoVd6Hl/5OJ9Xf45hi4GHHn2Y8CuvoPRf/6Jh2XJK//UvKt9+m4jrriPsskuJ6ZZOdLd0ynL3smvFEnqPnUB891AMRh0V+fU01Nixhprb5Xg8Ho0DzaOowyu3kXvp7yjes5vaHkno3W62j43k8j9PJzo0oV3yifYndcc/hYUNYejQT1i58ir+aPg/ltvH86V2GwcsJu7ceYCXCsq4v1scZ0WFou8g7x9sbg+fllTxn9xiCuxOMCl62eq4WP9vehm2YDRmMnzYu5hMUe0dtVNS/jAa7FiUUguA+zVNW3OExy4BztE07Zbmf18LDNc07a4jPHcaMA0gNjZ28AcffHDM/dbX1xMUFHTyB3CSTnUO0+bNhL/4EqXJGdx5XgoqfDGO0kmMtp7BpG5GogN1h+fQPIRXbSSh8FsiK9ag0w5Nl1EXlE51WB9qQ3pRE9oThznyhLI0eZp4svBJKt2VnBN6DueFnQeArqqKiCf/ib6mhsohw1h0+vlU5m+nh2M7Q3U76KtyMahDcyM2BiRQHjWC0pix1Aent0ErHa6r/G60ZY4JEyas1TTtqJdD+ZO2qjnNj0vd+YXi9R5KNqzCZVuC3mSm1yXXElUfTvRWhc6jsAdrFA/w4Aw6lMPlclFUVMSBAwdwNI/m0ev1REdHExcXR2ho6CkbCfzztvC4NQqWa9Tmg84I3SYo3I4i9nz/FXank8CYLGzBwdRjO/j68JAwklKTiYiIOKmMXeF3o61zSN2RutMSelcD2at/h9Vewseucfw45H4+Dw1lOA5+pxrxeD5G4zuUuhCdmuyTTL9sC03biUf7FxCETv0LpczUa4r7CKYWHXfSwFjl5Nt9Tj7c6cCih6ezK5m48y+YHZVURGSzpe9DaDrj0XfaghztpSPl6Ip150RrDnSsn+mptLZhLe+Wv4sLF5nmTG6OvhmrLhDTtm0EfToLY6H3CgWPxULT2DHkJceTu3YZgdGx9Lz4GpRS5C30UF8EicMVYWnt8z7Dtq+WPSuDsNgrGLX8LwCsSouhPCSYuu7BjJ14C3rVsnUm2vtn4k85WppB6k7HqTv+kOFIOTyeSpps/8RiKcfusrC18M+8E5tFqcXbFxSDm3NwMB47gW34kast26NSU/yAmR8xUds8UUP3OjdXVi8hM+EF9DoPTU0ZWAPvQynLKcvRWv6Q4URyHK3utOswKqXUXCDuCA89rGnaFy3ZxBHuO2KPuaZprwGvAQwZMkQbP378MTe8YMECjvccXzjVOVz9+7P7xZeILTnAjdmn8da+xWjKybz9LhbmuzmvXzzTxqXD7vU/y3E68Dtoqobd38P2ryBnLsH1ewmu3wt85X1aaDLE9IKIDIjMgIh0CEn0zuscEAbGQyt1aprG/Qvvp9JdSe+Injwx6jaMjVW4yw6Q+8R/cdTUQKyRrG7zGL3/c++Lmn97NaWHhMGQNQl6TiYwOosUpUg5RW3WVX43OlqOlvBlzQGpO0dS27eJd3ZqeNzFuB05FCz4jjGP/gPj6SYq39sO5U2krjAQMiGFdYF7D8vhdDrZvHkz69atIz8/n+LiYoqLiwkODqZ79+5kZmaSnp6OxWI5eoAT9FNbOGwuZr+8mdr8KkwBBs6clsXGFV+yZeMGPPEZuI0GvMuC2bAqC/2yepN9+ghi2mjxmq7wu9ERc7SE1J2WadccfVNwvnYGlxoWUZvbn88HXMpmvYVho4dQXVLK9h3fERuj0aePb/L9si3Wb3iLykpIS7uZ9DTv9Bj37dhPbVElI0Kt/HnQAJbtqeDjOSsBePMcM6OWPwqOSkgdQ+TVH3OaKfCkc7QXyXHi/PkzFvhPW7Z3jvGMJ3JOJDNqZrC7aTfPVT3HE2OfYPCEO9HuuIP6hQupfHM6jatXY/1hLllKUdg/g8ayErqHBZM8aAgbPQdY8tFuLM5oxo/v2+osJ9oWrqoq6ufNp+7779l0IARSziGyfAtFkTq+768nsioIHYr77n2WkOiWvxdq75+JP+XwhwwnQurO8flDhqPlaGgYxw9zryI4eA/ZKX9mdN4kVkVO471oAwdsDt4mgE/1Vi6ODWdqbDjDQ63oTnKAz8m2h93jYWFlHZ+WVPFNWTWu5t+WvlYLV+6qpof+PziS1jYf3wjOnfQmBsOvr/Twh5+LP2Roixzt2sGsadrEk9xEPvDzeRmSgPadJK+DMUREYOndG9u2bXTf3wDA1MFhOMsS+XJDIV9u9N6SghRXajlcMCCB5IjmDykBYdD/Mu/N2QT7l8OBVXBgJeSvgZoD3tvR6M3euZ41Dx8GGPg+LBCrx8O/Ns7DuHYwHhfkL4zEUWbGGOSi26giDAYNm7LQENmXsJ7j0aeNRiUNA3P7n+0R/k9qTvsLiQqg99hEti46G5wNVBXm88njf+bSvzxBzF0Dqf5qL41rS6j9IY8Uqw5bajWWjDAAjEYj2dnZZGdnU15ezoYNG9i4cSN1dXWsX7+e9evXo9PpiI+PJyEhgfj4eOLj44mOjj6paSmqymr58tWVlFWUoEU14Ixo4q0PfvReah4WDYBFM5Ksouk/sD+9zx2C3iTTYAgvqTsdQFw/7Oc+h/Hr27iu6mW2lqQxM3YICyprGRXovRKqoXFvu0SrrllLZeVi9Horyc2L+y2vrmdmUSUmpXgqK5mC6ibumrkOjwb/zK5i1OI/gaMeuk+Ey96GVnQui45N6k7H0c3cjffPe59759/L1oqt3PjdjdzQ9wbuGngXwRMmEDxhAk2bt1D51lvUzZ1LUkkle2PDWfzgHxjbrScR2WOBOPK2VuByuDGYWjZS+ERpHg/23btpXLWaunk/0rhqNbi9V7KWDf0zAN/128zSHoopJf3QVdaQOWzkCXUui45N6k7HZrVGcdq4D/nq63tISFhOU+q3DKnZwVXB/2Bt90xezy9nWXU9bxdW8HZhBXEmIxfEhHFedCiDQgIx6XyzvFuD282K6ga+Kq1mdnk1tS7vlew64LzoUG5JiiZpw1z2hv0DR2A5LpeR8rLzuOSSJ47YuSzaVkf/BLwayFRKpQEFwBXAVe0bqeOxjhmDbds2YjYXQG/QdA3857KB/P6sLN5YvI9Z6/PJr3fy1JydPDVnJz3jghmRHsnwtAiGpUUQGWT2jkbOON17A/C4oXw3VOyGij1QuQcq9kJ9CdhqwFYNbjs02dluMvKvUO/Jzr+WVxLvggJ3BNXLAtGVeXBYDKyZdBo5g0ejlImzJ1+KxUcFTIhfkJrTBoadn8auVSU4tSmERH9J+YE8Pn3iL1z80P8RcWkPArNjqP4sB8qbKH99M+b0UEImpmBODzu4jaioKCZOnMjpp59OSUkJOTk57N69mwMHDlBQUEBBQcHB5yqlCAoKIiQkhNDQUIKDgzGZTBgMBgwGA3q9Ho/Hg91ux+Fw4HA4aGhooLq6mrKyMhYsWODdUGjzBmtBoYjyhJDsjiRFH03qsCxCxiejD/L9vNCi05O64wNBQ67gxwVfc0b9V/x9x0PkmJ/i67JwzszMAKChYTea5ka18DLvtrJv77MAJCffgNEYjs3t4Y87vSfv706NIUbpufStlVQ1OvlT4mYu2/k0uB3Q9xK48GUwSE0SrSJ1x4firHG8M+kdXt74Mm9seYPpW6aztGApDw57kCFxQwjo15fEp/+Nu76e4M8/Z99XH1AcEkjJsiVYFywgePAfqSOVDX94mm59w7FkZWHOysIQE9Oq6bk0pxPHgXwcufuw786hcd1amtatx1P3s3V6DAZMI4axLD2UhsJ47PpGNvcu5a8DH6H4mc+xAdmTLmi7RhJdgdSddhYeHs45Zz/Nxx//g7T0uRC6j83FV5NpupWP+9/DriYPs0qq+Ly0mgM2B6/ll/FafhkBOh3DQ62MCg9iRKiVXkEBBBva5v1SucPFtvomllfXs7S6nvW1jTh/Ns1vnyALU2K8o6rj9A3s3PIXdnm+gECorw+nqGgK115zH2azdC77gt92MCulpgLPA9HAN0qpDZqmna2USgD+p2nauZqmuZRSdwFzAD3wpqZpW9sxdocUNHYMFa+9RvDKHaheGpV27yINiWEB/GVybx6Y1JOXZs1jrzuSH7aVsKO4jh3Fdby1LBeAmGAz3aKspEdZSY20Eh5oJMhiIMgcgTVgNM74kdijPdidHmxONyW1NgqrGimrrqWsOp+d1hfRVBWeqsH8tmIKTk3P/Rs+ZkLhGlzWIIJf/h/XDhsAeIfsI53L4hSQmuM71lAz2WelsOqrfZiCLyFUfUTpvj2899B9TP3jI0RldCP2t9lsensxUQeM2PfWUPbaZkxpoQSNjCegdyTK4K0DP41Yjo+PZ+zYsdhsNgoLCykqKqKoqIjCwkIqKyupq6ujrq7usI7nFvPosGAm3KNIdMcSTySRWhBGi4mgsYkEjUpAbz2xuU2FAKk7/sYx4Ea+Wt7AZM883tv0J64xPoetx8VYLInYbAU0NOwhKKiHz/JUVa2ismopBkMwKck3A/CPvUXsbrTTPdDMtIQobpm+mr0l1Twd8gkXV3zpfeGw2+CcJ+X9kjgiqTv+yag3ck/2PYxLGsfDSx5mV9UubpxzIxNTJnLf4PtIDklGHxRE4jXX0Ke+gi3zf6Bw0kQGe4zE5ORQF5xKXp4L65z/HNymLjgYQ2wMhqhoDFFRGCIjUSYT6HUonR70OjSbDXd1DaE5OeRNfwtXSQmO/HxwuX6V0ZAQT+DgIaihA/gmsZTp+z+m+77hDAfoVs+XF39Bznc/kltfR2LP3iT26uO7BhR+TepOxxETE8OUKb/n3XdDSExaRULCLvLyX6G04ju6d/8jD6WfxUPp8ayva+SLkmrmV9axq9HGgqo6FlQdOgmVYDaSZbWQGWgh1mwk0qgn0mgg0mQ4OFgwT9Oxrb6JRreHCqeLcoeLCqeLIruTnQ02djbYqHAeXot0wIDgACZGhnBhTDiZVgsej4PCok9YvvcZnM5KPB49+/P6UVs7gptumobVavVlE3ZpftvBrGnaZ8BnR7i/EDj3Z/+eDcz2YbROJyA7G0N8PBQV0fOAnqKQosMeNxl0DIwxcO/4Qdicbtbvr2bVvkpW7qtg3f4qSuvslNbZWbWv8gT37CYg+UMMpir0zkRGR9/OwH4RjPzkJUx5a1ABAXR/43UCBg5ou4MV4iik5vjWoLNSyFlbSmVhA5lDp1G2532K9+xm5iN/4Ny7fk/3oSOoytDod9Uw6pcWULekEMe+Gir31aALNBAwIJrAgTGYkoJR+kOjcywWC+np6aSnH1rg0+12U1dXR01NDbW1tdTV1eFyuQ676fV6TCaT92Y0UbSznoq1tSRgINWsJ0gdemPiCYXwcelYh8SiM/vtf6OiA5C6418CjHpsU1/gq49uYrJ+BW+vv5dlMRbig/tisxVQV7fFZx3MmqaxZ+/TACQn34zRGMqiyjpezS9Dr+C/WSn84cON7M3N5aOAF8h2bAWdwduxPPQW7xQ+QhyB1B3/NjBmIB9P/pgZW2cwfet05u6fy4L8BUztPpVre19LWmgaw6dezrZF88jZv4exz7zCUE8Ie/5vFRVJwwgZonDt2oF9507cNTU46upw5Ow57n4t0LyWBKAUxoQETGlpmNLTCejfn8DB2VSE6pixdQaf7n6WppwmAPrXjAHgwjPPIJgA1nzt/dUaeclVp2wBZtHxSN3pWJKSkrjqqpuZ+a6FstI0emWuAnLZvPk3BAf3IyP9PgZFjCU7xMpjQJnDydKqepZV17OutpHdjTYK7U4K7U7mV9YdY08hsHrnMbME6XX0sFoYGmpldFgQI8KCCGkeHa1pboqKZrF333PYbN6ru+qrEtiRMxSLKYXrr7+O0NDQY21etDH5ZCxQej2hUy6g4pVXmbDJw6upBTg9ToxHWG3cYtQzMiOSkRmRQCYej0ZhTRP7yhvILW8gr6KRWpuTeruLOpuLRocbg05hMeoxG3SYjXqig8wkhFlYVz+DxaW7CTOH89HF04kzR1Hwxz9SN38OKjCQ5FdeJmDgQJ+3hxDi1DMY9Zx5Ux8+fnI1u1fXM/GG37N7xXvsXL6YL/79OH1OOwNDek90AQZCJqYSNCaRhrUlNK4pwVnUQMPyIhqWF6EseszpYVgywzAlBWOICURnPvySLL1eT1hYGGFhYUfN46534MivpyGnipLVJfRt0mOyRBx83O5uoinKRtqlo7CmR52qZhFCtLNz+iVy+7rH0OU8wnms4oxvb6Bq1FTK9FBbt5n4+It8kqOsbA41NWswGiNISb6BSqeLe7bvB+C+lFjem7Mbbcc3zLG8QZRWA0Fx3vmWU4b7JJ8Q4tQJNAZyx8A7uCjzIp5f/zxf7vmSj3d9zMe7PmZc0jiu6XUNvcZNYOv8uaz45H0m3fV7opKDKD9QT9Okm+n+5xg0TcNdXY2rtAxXeRnu8nJc5RVoTieaxw1uD5rHjc5sQR8Wxo6CfPqPGoU+IhJTagq65gWTbS4b8w/M58ttf2N54XLcmnfe5dGJo7ky6ga2LG/EHGggtU8kq7/6GFt9HYk9+5DSVwYICdGRpaSkcMNNN/LO9LdZtS6SjLgDJGdtpa5uMxs23khIyCCSkq4hJnoS0SYzF8aGc2FsOABuTSOvycGuBhs5jTbKnC4qmkcnVzhcB6e4aGhowGq1YtbpiDIZiDQaiDIZiDEZyAy0kGW1kGA2/upklctVR1HRLPIL3qWxeY0Mg0pk19YsCsoTiAmP5tqbric4ONi3jSakg1l4hU2dSsUrrzJqO8wc76KgroBuod2O+zqdTpEUHkhSeCBjM6NbvL/Pdn/G4mWzMOgM/HfCM8Tqw8i/93fU//gjuqAgkl97jcDsQSdxREIIfxeVFMSoqd1Z8vFu5r+bw+R7phGXkcnSD99l68IfMaxeQaLVQtbocegsBoJHJxI8OhFHYT2Na0uw7azCVd6EbVsFtm0VB7erDzNjiAlEbzWiCzCgAgzozHo0t4bm8oDbg8fuxl1tx11lx1VtR7MduvwqFECnqHVUUNiYg75bAP2umkxGSorvG0kI4XOPXjiAc5/5PQWut5lm+IbopZ/QPSmAksCVPtm/pjnJyfknAOnpv0OnD+K3m/dR7HAyJCiQgsU7GJfzFFNNS70vSB0Dl7wBwXE+ySeE8I1YayyPj3mcm/rexDvb3+GrPV+xKH8Ri/IXkWSK4gxdENsWz6f/2efRc0Q8Sw7sZseKIroP9s69bAgPxxAeDlnHv/LCvmAB1pEjAahoqmDl3nksLVzKvP3zqHfWA2BQBiZ1m8RN/W6iZ0RPlnyyG2gkc2gsTfXVrPriEwBGXXq1jF4WohOIi4vj5ttuYcbLb5JTpKegJI3Tz9bRaP+c2tr1bNu2nt3GvxMffzFxcRcSZM1CKYVeKdIDzaQHmjm0iM2vLViwgPHDBrcoi6a5qalZT1HRpxSXfIXH472KwmJJwtN0DvMX2fCgSAyN5ZppNxAQENAWTSBOkHQwCwBMqakEn3kmdT/8wJQVHnacu6NFHcytsSh/EY8tfwyAh4Y/xAB9KnnX34Bt0yZ0ISGkvPE/Avr1OyX7FkL4l/6nJ1Fd2siWhQV8+8pmpvzuTNIHD2fOK89SuHMbs194muWzPmTkRZeTNWocOr0eU0IQpoQgmAyuShv2nGpse6txFTfgLGvydhxX208ohxsPlbZyKuy5VNqLqLAXEts3E0v33px76eWn6OiFEP4oPjSA/1yZzY3T3eRpMfyfcQap+U1EVK3AmbISY8KpHSWs8SNNtv1YrZkkxF/G07nF/FBRSzgaU5bP5MKKN4nW1+DRW9Cd+RgMmybzLQvRiaWHpfPoyEe5e9DdfLTzI77I+YL8+ny2dHPRb28oLz79W6omdaeP7iLytlSwu2Af3eKSMOqPvz5EvaOenOocltYtZdnKZawrWcfOqsMvWe8b2ZfJGZOZlDaJcIt3hKLH7WHXqhIAskbEsXjmGzhtTXQfOoKUvv3bvhGEEO0iIiKCaXfezkcvvkOes4RvvnUzZtRf6dGrlqKiD6iv38b+/a+zf//rWMwJREWfQVTk6YSEDMRoDDmpfdsd5dRUr6G8/EfKKxbgdB6akjU8fCTR0ZeyckkTW3bsABT9Q7pzwV1XYDBKN2d7kZYXB0Xd+RvqfviBM9drzN++hHPSzmnzfWwu28z9C+/Hrbm5td+tXKAbRO7lV+AsKMCYkEDya69i7t69zfcrhPBPSinGXt6DxhoHezeU8dnT6zjn1r5c8dcn+fTVF6netoGqwnxmv/A0C9+bTs9RY+k1ZgIxaRne0TkRFgzD4rAO847c09warsomXOVNeBpdeJq8N83u9s7VbNChDAo3bsor8tm6dhX5eeuwu2sA0OmN9B43nvHn/IaYbunehUWFEF3OhKwYbhqXzpuLzmSHLpU3rM8Q1lCD9sZ5MO6PMPJOMLX9ojE2WyGa5l2sL7P7g/xQ2cDT+4o5o2Q5f9v9CumePFDQEDsU62WvQmRGm2cQQvinCEsEtw+4ndv638b2yu3MyZxN06sLiKwysm3LWqyhPUir6sfjbz3P+qS5RAdGExcYh9lgxqgzYtQZ0dCotldTbaum2l5NraP20A6a+27MejPZMdmMTBjJacmnkR6a/qssezeU01TrICw2ELezkG2L5qE3GDjt2lt81BpCCF+xhgVx7V038v1zs1jt2sWSZWvZsSuK8857jp5ZNRQWfUR5+Y/Y7IXk579Dfv47AAQEpBIS3I+goJ6YzbGYzbGYTNEYDEGAQtMqsdkKcTprsDtKcNjLsNmLqKvbSl3dFuz24sNyBFhSiI4+k/iEy9m3t5EP3v+OhoYGDJqeCaGDGHnXJHRG/RGOQPiKdDCLgyw9e+IcPwzTglWkvTYHbdLf2vTypl1Vu/jNj7+hydXElIwpXF+YQe4tl+NpbMTSvz/JL72IIUrmNhWiq9HpFGfe3JsfZ2wnZ00pX7+4idEXdyeyZ1+m3noH2xbPY/UXn1BVVMjab75g7TdfEBQZRUKPXiT26ElMWgbBkVFYwyMxGI0YowMxRgcC4HY5qa+soK68jOriIopydlK4awcVB/YD2sEMZms8A848gyGTzyMgSObrEkLAQ2dn8WNeBWvzenBa0zPMiv4dGeU1MP/vsPoNmPAQDLwa9G3zdlrTNHbuegywEx19DoX6gcz+4Q2+2fchgxt3AFCoYtDO+AuJo66WUctCdFFKKXpH9qb3qN5sdQ7iu5eeYXxOEp6zFCyEfqWnsTFxPqWNpZQ2lh5zWyadiYywDILsQYzpOYbekb0ZFDMIs958zNdtmu9dUKv3mFh+ePUpAAafP5WwWJmqR4jOyBBq4cxpU4h5eQGLPVspLy9nxowZDBo0iPHj/0TPrMeprd1EeflcKiuXUt+wg6amPJqa8igp/fqo21267Oj71OutBAf3JTJiHFHRZ2AN7E5JSQmffzaXnJwcAGI9oZxmHUjWtNHoTNK53N6kg1kcJv3Rx9mx4ix67Kgn9703SLumbc5C76zcyS3f30K1vZoJMaO5Y46i8OP7AQg5dxLxf/87OpknR4guy2DUc9ZNfQiJCmDdd3ks+Xg3AVEwIMtOvwln0Xf8mRTt3sn2JQvYuXwx9RXl7Fq+mF3LFx+2HbPVitLpwePB4/HgsDWBph1hjzqUPp7A8J6Mvuwc+p3W2zcHKoToMAx6He9fN5TRLy2mpgKmlD/Fcz2fZUKNAVW0Eb66Bxb+E7Kv895CEk5qf2Vl31NePpfARj3xBaG4vx7Ms/YyAKo1K1+EXMl5Nz9KVNjJXXIqhOg8eo+dwPYlC8jbtJ70A9U0xgZACXzQ+xuCenkoayrD4Xbg9DhxebzrTYSZwwg1hxJmDiPEFIJep/fOhdp3fIv2Wba/jqKcGowWPVUFP1KRv5/w+ERGXCRTignRmRljrfS7YQwx00NZ79rDRkMe69evZ+PGjWRnZzNmzBgyMu4nI+N+PB4nDQ27qa3bTGPDHuyOMuz2EhyOUtxu7/zJdrsds9mMwRCM2RSLyRyN2RxLkLUHwcF9CQxMQynvyfTi4mK++fojtm/fDoBJGRnmyKB3UBoxt/RHH2Rqt3YRh0gHszhMUHwya64cyGnTN9D45H9p6NEf67BhJ7XN7RXbmfbDNKrt1Vze1I8rnt9P7d6FKJOJ2IceJOzyy2UhCCEESqcYeWEGsd1CWPj+ThrLHXzw+Cq6D45h0JkpJPToSUKPnpx+wzQqC/Mp2Lmdwp3bqSw4QF1VBQ1VldgbGg7fptIREBqOTh+CvSkAjWh0hgRColMYcm4GPUfGozfIKEAhxJElWM08eEk/Hv9gI/U1Qdy55T7+c1Ekk4wVsOAfUJHj/brwX9BtDGScDhkTILZfy0cYN1bizJuPbeUfGFFSjbXJDbwIwG5PItPd56AbcDmPXDQEs0FG5wghDlE6HWff/ltm3H8ne9euovf4LKpLotn8YwGXDB1CUnBSm+9zw9z9ACRmNrL+uy9QSsekO+/DaLa0+b6EEP7F3C2UuFsGMHS6noymWDaG5rPbls+aNWtYt24dmZmZDBgwgB49ehAc3Jvg4KMP4lmwYAFjRo8/6uM2m41t27axceNG8vLyANDr9fTSJdO/LomQqDCibumHIezYV1wI35EOZvErmVfczLeb7mHSWjf5d95FyuuvtXpbi/IXcf/C+zHUNvLo6hj6LFuPEzClpZH4n6ex9OrVdsGFEJ1C+sBoEnuE8emLi6neB7tXl7B7dQlRyUGk9okkuXcEEfFx9Ds9mf5nnH3wdR6Pm7qKGmormqgqaqJodw0FOfU01brxaKC3QHRKMH1PSyRrRBx6vXQsCyGO75ZuMcw6PYWtSwtoKoW7Pq7nvrMGMu2OVRj3L4E1b8KOr2HfQu9t7qNgCoKIdO8cyWGpYAwAvRF0RrBVQ30J1JdC+S6oysUIpDTvr1oXxPeuwXzpGsUm0yCeuKQf5/c/udHRQojOKzgyitNvup1vX3ianUs/JDDiCkrzIG9zBd36t+30g1XFDexeXQLUk7fhQ9A0hk29jPjMrDbdjxDCf5mSg4me1h/e2MJp1VYGBqexNbmM7ft2snOn92axWMjIyCA1NZXU1FSio6PRHefEu9vtpqioiLy8PHJzc9m3bx8ul/fKC4PBwIDUPvTcHUqAw4gxzkrUzX3RB8vIZX8iHcziV05LHs/TF6YQ1rCfkTvqyLv2OgIuuwzttNNaPNJY0zTe3/E+Ly18kgtXujh/nQ6jvQhlNBJ5221ETrsVnUmKgRDiyMyBRhKG6ph88wg2zjvAtiWFlB+op/xAPWu/857BNpr1WJvPWHs8Gk67m6Zax6+2FRBiInNIDL1GxROVJPMrCyFOjE4p/ts3lXOamnDtqIXcep6as5PZm4v458UD6XvZDGishL3zYc882LMAavOheJP3dhwevZEaq8ZWQw9erb6I5Y09cGFgVPcofrhsALEhMipQCHFsvcaMJ3/bZjbP+x5H/ZdguJxVX+8jtV9km14puvqbXDweJ3ptNo21NST36c/IS65ss+0LIToGY5yV2LsHUTFzO6G5tYzakcSY0QPJC6tk4+ZNFBcXs3XrVrZu3Qp4Rx6HhIQQFhZGUFAQSilKSkooLy+ntraWmpoaamtr0X4xtWG3bt3o36svCbkBuNZ7VyINGBhN+EWZMueyH5IOZvErBp2BWwfexmN1j+AItXDaygZC3nuPvJ07iLnvPgIGDTrmG5UaWzWvvX0vAT+u4vltGhYngBvr2LHEPvgA5vRfr0QshBBHEhxhYcwlmYy4IJ3C3dXs31pJwe4qasttOJpcVJc0HvZ8vUFHSHQA4bGBJGSGkdQznIgEq0zDI4Q4KT2tATzdM5U7tf0QaSB6RyVbC2s5//klTOwVwx3juzO478XQ92LvCxorvdNnVOzxdja7HOB2gNsJllAIioGgWApcNTy/cj6z8ydQ2+SdW9lo1fPchQOY3DdOapcQokWUUpxx8x1UFORTuHMbetMXlOZeRM6aUjKHxrbJPkrzatm1uhBX43fYHfmExsQy+XcPoDdIl4IQXZE+xET0rf2o+TaX+iUFeBaX0S3SwsALLqMh0kNubi55eXnk5eVRW1tLVVUVVVVVh22jpKTksH9HRkYeHPXcLbUbhpwmar7dh6uhCfSKsHPTsI5KkPdHfkr+NxBHNDljMp/s+oQXT9+EO6sP4z/dR9OateRddTXGlBSCJ0zA1D0DY1wcoPDU1+EoKODAinnYN27k/DrPwW1Zx40l+s47CRgwoP0OSAjRoRlMelL6RJLSJ/LgfbYGJ421DpTyfrAymHRYQ80onbzhEEK0vYvjIlhRuot3sFI+wsC51XoWbipj7vZS5m4vpXtMEBN7xTIhK5qsuGDCkodB8uHrWNTZnOwta2D53grmrTnA2jwXbm0KAJ4APVl9o/hdWB3n9otvj0MUQnRgeoORC+57kPcfuZ+a0mI87lks/tBEar9ITJaT+9iveTQWzNyOs342HuduzIFWpvzhEQKCZdFRIboypdcRdn46AX0iqfo8B1dJIxXTt2JMDKL3uBQGXzgYpVc4HA5qamqoqamhoXnNnO3bt9O7d2+CgoIICwsjJCQEg8GAx+GmcW0Jda/twl1pA8CcHkrYhd0xxgS25+GK45AOZnFEBp2BJ8c9yaVfXcoriTtZ/dte/K10ME2ffoFz/34qZ8w44usszbfqMCPRF15C8mXXyIhlIcQpYbEasViN7R1DCNGFPNl3GGXL3uI7svk2ys0D1w2kYW8N767YT05pPTml9byycA8A4YFGYoItKAWaBuX1dioafjmNjw53pBlPipX7h6bx27RYFi1c6PsDE0J0CtawcC77yz/46P8epKa0mOrCmSz+KIQzrju5Rds3zttDwdb38Dj3YgoM5JI/P050Sre2CS2E6PDMaaHE3jOI+qWF1C3Mx1lQT+X7O9FZ92LpGUFArwgikkOIyog6OPq4qqqK/v37o3k03FU27BsrqNlegW1XNZrDDYA+0kLoxFQCBkbLqOUOQDqYxVElByfz6pmvcuePd7LWvp3LE/KZ+t8pjCgPJ3jjXtxFxTQV5lPpqKJc30RtIBQkBzB84nVcMOF2TAZZzVMIIYQQnYdep+M/ffrjWf8N36vz+L/8Es5LDGXW78dSUtLA3G2lrMqtYF9ZA1WNTqoanYe93mzQER9upslUQX5kAu6oAOKtRp7t1Y1xETJHvBDi5IVEx3DZX/7B+395gPrKUjbMforQyN8y5Lwxrdre3vU7mPfm39HcVRgtgVz6578Tl5HZxqmFEB2d0usIHpdE0Mh4GtaVUr+kAFdZE41rS2hc650KQ5l0GCIsYNCRVKujeN0aXBU2cB8+97IpJZigsUkE9ImUq1M7EOlgFsc0IHoA70x6hz9+90d22Hbw9o53eRsgsfnWLCoglqndp/Jw7+sIs4S1T1ghhBBCiFMsInwID8Z/SmbRM7yp7uCbMphTXsPFsRFMGZXEH87tiUWnKKm1U9XoHbFc4XCx1W5nQX05C2qcaESgw82tCSE8kJGG1SAL1Qgh2k5IdAzX/eu/vP/I/1FVtIOFbz9Jyd6JTLjuBgJDw1q0DYetiRWffsjqrz4DzY0lKJ6rHn+M8PiEUxteCNGhKaOeoOHxWIfF4SptpGl7JbadVbhKG/E0OHEWe9fQsaBw1TYB3vmcjfFWLD0jsPSMwBAuCxx3RNLBLI4rLTSNO2PvJKRXCEsKlrC5fDMujwuz3kyvyF4MihnEyISRGHVyqboQQgghOr8ePR5hYs0FZDbey1emO5nv7MeHxZV8WFyJWadIMBuJNBqwezSKHU7KHK6DrzVqLsYbNvCnfufRNzzxGHsRQojWCwgO4bp/P8nbf3yGqoLF7Fgyl71rl9HntDPoO+FMYrodeRrDmtJitiyYy+Yfv6ehuhIAS8gAbnjqIaxhVl8eghCiA1NKYYy1Yoy1EjI+GQBPoxNXlR08GmvXrWXwsKEYIizozHKivTOQDmbRYtmx2WTHZrd3DCGEEEKIdqXXBzKg/+u41l3FTY6/ckngGDaF/p4l9WY21zexr8nBvqZD8y1bcNJT20Q/NnBehI4xfR/HYJApMYQQp5bBYOCKv/6Wj/7ek6r8OTiacln/3Ves/+4rrGHhxHRLxxoeSXFxEV+sWUJp7l5qy0oPvl7pYwmMmMilD02WzmUhxEnTBRoxBXoHJtr3gCle6kpnIh3MQgghhBBCnKDAwDQGZ89k/YYboXEJYxqXcUH4KIzdxlKjIihprMFRvwV9/SJCqcaoM5Oedg8pKbeglK694wshuojAEBMX/+lMZj0VQW3ZfnRqBx7nThqqq9i3Ye3B55U3fzWYzJgCe+B0ZWG2duPC+7KJTAhqn/BCCCE6DOlgFkIIIYQQohUCA9MYPuwb9uz9NwUFH1BZtQSqlgAQ2vwcnc5CbMxU0tPvxWKRuUuFEL4XHGHh4j8O5ttXzZTmxqJ048jorycirhGL1c3efXtJjMugtiKI3C1uPJoiPN7CpNv7E5UknctCCCGOTzqYhRBCCCGEaCWDwUpWj0dJT/stpWVzaGzYg9NZhckcS5C1B5GR4zEaQ9o7phCiiwsKt3DR77NZ9c0+Nv14gIJdHgp2/bSQVj8qdgB4UErRc3Q8oy7qjsUqa+wIIYRoGelgFkIIIYQQ4iQZjWEkJlze3jGEEOKo9EYdIy/MoP+EJLYvKyJ/RyVVxY047A4i40NIzAqn54g4wuNkXlQhhBAnRjqYhRBCCCGEEEKILsIaambIpG4MmdQNgAULFjB+/JD2DSWEEKJDkxVGhBBCCCGEEEIIIYQQQrSKdDALIYQQQgghhBBCCCGEaBXpYBZCCCGEEEIIIYQQQgjRKtLBLIQQQgghhBBCCCGEEKJV/LaDWSl1qVJqq1LKo5Q66ooDSqlcpdRmpdQGpdQaX2YUQnQeUnOEEL4mdUcI4WtSd4QQviZ1R4iuwdDeAY5hC3AR8GoLnjtB07TyU5xHCNG5Sc0RQvia1B0hhK9J3RFC+JrUHSG6AL/tYNY0bTuAUqq9owghugCpOUIIX5O6I4TwNak7Qghfk7ojRNegNE1r7wzHpJRaANyvadoRL5FQSu0DqgANeFXTtNeO8rxpwDSA2NjYwR988MEx91tfX09QUNBJJG8bksP/cvhDho6WY8KECWs1TTvq5VD+pK1qTvNzpe508Bz+kEFytC6H1B2pOx0xg+To2Dm6Yt050ZoDHetn2hUySA7/zNHSDFJ3Ok7d8YcMksM/c/hDhhPJcdS6o2lau92AuXgvl/jlbcrPnrMAGHKMbSQ0f40BNgLjjrffwYMHa8czf/784z7HFyTH4fwhhz9k0LSOlQNYo7Vjrfnp1l41R5O60yr+kMMfMmia5PglqTtSdzprBk2THL/UkXJ09brTkprT0rb0BX/I4Q8ZNE1y/JI/5GhpBqk7Hafu+EMGTZMcv+QPOfwhg6adfN1p1ykyNE2b2AbbKGz+WqqU+gwYBiw62e0KITofqTlCCF+TuiOE8DWpO0IIX5O6I4TQtXeAk6GUsiqlgn/6HjgL71kyIYRoc1JzhBC+JnVHCOFrUneEEL4mdUeIjs9vO5iVUlOVUvnASOAbpdSc5vsTlFKzm58WCyxRSm0EVgHfaJr2XfskFkJ0ZFJzhBC+JnVHCOFrUneEEL4mdUeIrqFdp8g4Fk3TPgM+O8L9hcC5zd/vBQb4OJoQohOSmiOE8DWpO0IIX5O6I4TwNak7QnQNfjuCWQghhBBCCCGEEEIIIYR/kw5mIYQQQgghhBBCCCGEEK0iHcxCCCGEEEIIIYQQQgghWkVpmtbeGXxOKVUG5B3naVFAuQ/iHI/kOJw/5PCHDNCxcqRqmhbtizD+SupOq/hDDn/IAJLjl6TutIDUnQ6ZASTHL3WkHF267rSw5kDH+pl2hQwgOX7JH3K0NIPUnY5Td/whA0iOX/KHHP6QAU6y7nTJDuaWUEqt0TRtiOSQHP6YQXJ0Tv7SlpLDvzJIDv/N0Rn4S1v6Qw5/yCA5JEdX4C9t6Q85/CGD5PDPHP6QoTPxh/b0hwySwz9z+EOGtsghU2QIIYQQQgghhBBCCCGEaBXpYBZCCCGEEEIIIYQQQgjRKtLBfHSvtXeAZpLjcP6Qwx8ygOTojPylLSXHIf6QASTHL/lLjs7AX9rSH3L4QwaQHL8kOToff2lLf8jhDxlAcvySP+TwhwydiT+0pz9kAMnxS/6Qwx8ywEnmkDmYhRBCCCGEEEIIIYQQQrSKjGAWQgghhBBCCCGEEEII0SrSwSyEEEIIIYQQQgghhBCiVaSDuZlS6lKl1FallEcpNeQYz8tVSm1WSm1QSq1pxxznKKV2KqVylFIPnIIcEUqpH5RSu5u/hh/leW3eHsc7NuX1XPPjm5RS2W2x31bkGK+Uqmk+9g1Kqb+cggxvKqVKlVJbjvK4r9rieDlOeVt0RlJ3frV9qTtSd04kh9SdVpC6c9i2263mNG9X6s6hfUjd6cT8oe74Q81p3n6Xrzv+UHOa99PudUdqzqkjdeew7UvdkbpzIhla3xaapsnNOw91LyALWAAMOcbzcoGo9swB6IE9QDpgAjYCvds4x7+AB5q/fwD4py/aoyXHBpwLfAsoYASw8hT8HFqSYzzw9Sn+vRwHZANbjvL4KW+LFuY45W3RGW9Sd361D6k7UndOJIfUnda1q9SdQ9tvl5rT0mOTuuPbtmhhDqk7rWvXdq87/lBzmvfRpeuOv9Sc5v20e92RmnNKf75Sdw7tQ+qO1J0TydDqtpARzM00TduuadrODpJjGJCjadpeTdMcwAfAlDaOMgWY0fz9DODCNt7+0bTk2KYAb2teK4AwpVR8O+Q45TRNWwRUHuMpvmiLluQQrSB151ek7kjdOZEcohWk7hymvWoOSN05jNSdzs0f6o6f1ByQuuMXNQf8o+5IzTl1pO4cRuqO1J0TydBq0sF84jTge6XUWqXUtHbKkAgc+Nm/85vva0uxmqYVATR/jTnK89q6PVpybL44/pbuY6RSaqNS6lulVJ82ztASvmiLlmrvtujMpO4cTuqO1J2ftHdbdGZdoe60V80BqTsnSupO19Dedaczv9cB/6g7HaXmgP/UHX9oi85M6s4hUnfa/2+tQ9cdw6lM5G+UUnOBuCM89LCmaV+0cDOjNU0rVErFAD8opXY0nwHwZQ51hPu0E8lwvBwnsJmTbo9fxjrCfb88tjY5/jbIsQ5I1TStXil1LvA5kNnGOY7HF23REv7QFn5J6k7Lc5zAZqTuSN0B/2gLvyR1p2UZTmAzbV1zQOrOiZK64+f8oe74Q805Xo4T2ExnrTsdpeaAf9Qdf2kLvyR1p2U5TmAzUnfa/2+tQ9edLtXBrGnaxDbYRmHz11Kl1Gd4h9uf0B9dG+TIB5J/9u8koPBEN3KsHEqpEqVUvKZpRc1D8kuPso2Tbo9faMmxtcnxn2wOTdNqf/b9bKXUS0qpKE3Tyts4y7H4oi2Oy0/awi9J3Wl5Dqk7UndOhJ+0hV+SutOyDO1Yc0DqzomSuuPn/KHu+EPNOV4OqTsdpuaAH9QdP2oLvyR1p2U5pO5I3TkRJ9MWMkXGCVBKWZVSwT99D5wFHHHlxVNsNZCplEpTSpmAK4Av23gfXwLXN39/PfCrs2+nqD1acmxfAtcprxFAzU+XfLSh4+ZQSsUppVTz98Pw/j1VtHGO4/FFWxyXn7RFpyR153BSd/zib03qTifXhepOe9UckLpzoqTudHJ+Unc683sd8I+601FqDvhB3fGjtuiUpO4cInXHb/7WOnbd0U7xKokd5QZMxXu2wA6UAHOa708AZjd/n453xcmNwFa8lz34PEfzv88FduFdDfNU5IgEfgR2N3+N8FV7HOnYgNuB25u/V8CLzY9v5hirwp7iHHc1H/dGYAUw6hRkeB8oApzNvxc3t1NbHC/HKW+LzniTuvOrHFJ3pO6cSA6pO61rV6k7h7bdbjXnaMcmdUfqTme8+UPd8Yea07z9Ll93/KHmNO+n3euO1JxTd5O6c1gOqTtSd04kQ6vbQjVvQAghhBBCCCGEEEIIIYQ4ITJFhhBCCCGEEEIIIYQQQohWkQ5mIYQQQgghhBBCCCGEEK0iHcxCCCGEEEIIIYQQQgghWkU6mIUQQgghhBBCCCGEEEK0inQwCyGEEEIIIYQQQgghhGgV6WAWQgghhBBCCCGEEEII0SrSwSyEEEIIIYQQQgghhBCiVaSDWfglpdQ8pZR2hNs37Z1NCNE5Sd0RQvia1B0hhK9J3RFC+JrUna5BaZrW3hmE+BWlVBXwFPDmLx5q1DStth0iCSE6Oak7Qghfk7ojhPA1qTtCCF+TutM1GNo7gBC/pJTKAMKAhZqmFbdzHCFEFyB1Rwjha1J3hBC+JnVHCOFrUne6DpkiQ/ijwYAbWN/eQYQQXYbUHSGEr0ndEUL4mtQdIYSvSd3pIqSDWfijwYAeKFVK1f/s9nF7BxNCdFpSd4QQviZ1Rwjha1J3hBC+JnWni5A5mIXfUUrNBaqBB37xUI2maWW+TySE6Oyk7gghfE3qjhDC16TuCCF8TepO1yEjmIU/GgQs1TQt5xe3MgCl1FKl1Ijm719TSt3frmmFEJ2B1B0hhK9J3RFC+JrUHSGEr0nd6SJkkT/hV5RSaUAEx56f5zHgoeYzYUZN0/7tk3BCiE5J6o4Qwtek7gghfE3qjhDC16TudC0yRYbwK0qpS4CPgV54L6P4uXJN01zNz1sFNAJnaZrm8GlIIUSnInVHCOFrUneEEL4mdUcI4WtSd7oWGcEs/M3g5q/bf3G/hvfMV7VSKhuIArZI8RFCtAGpO0IIX5O6I4TwNak7Qghfk7rThcgIZtGhKKUSgNnARcCHwK2apm1o11BCiE5N6o4Qwtek7gghfE3qjhDC16TudC6yyJ/oMJRSAXgvr/itpml7gSeAR9o3lRCiM5O6I4TwNak7Qghfk7ojhPA1qTudj4xgFkIIIYQQQgghhBBCCNEqMoJZCCGEEEIIIYQQQgghRKtIB7MQQgghhBBCCCGEEEKIVpEOZiGEEEIIIYQQQgghhBCtIh3MQgghhBBCCCGEEEIIIVpFOpiFEEIIIYQQQgghhBBCtIp0MAshhBBCCCGEEEIIIYRoFelgFkIIIYQQQgghhBBCCNEq0sEshBBCCCGEEEIIIYQQolX+H8uNNHkUQZgUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x1080 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "J = Jones_vector('Light source')\n",
    "angles = np.linspace(0, 90*degrees, 10)\n",
    "ell = np.linspace(15, 40, 6)*degrees\n",
    "Ell, Angles = np.meshgrid(ell, angles)\n",
    "J.general_azimuth_ellipticity(azimuth=Angles, ellipticity=Ell, intensity=2)\n",
    "_ = J.draw_ellipse(draw_arrow=True, depol_central=True, subplots=(3,5), figsize=(20, 15))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot partially polarized states\n",
    "\n",
    "Partially polarized states can be decomposed in a totally polarized state plus a totally depolarized state. The totally unpolarized light electric field vector position will be random, with its module dependent on the unpolarized intensity. Then, the total electric field will be the coherent sum of both fields. \n",
    "\n",
    "*py_pol* can plot partially polarized states in three different ways. The first one is plotting at the same time the totally polarized part ellipse and the circle whose radius is the expected electric field amplitude of the unpolarized part. This is done by setting the *depol_central* argument as True."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "S = Stokes('Light source')\n",
    "angles = np.linspace(0, 90*degrees, 5)\n",
    "ell = np.linspace(15, 40, 5)*degrees\n",
    "deg = np.linspace(0.2, 0.6, 3)\n",
    "Ell, Deg, Angles = np.meshgrid(ell, deg, angles)\n",
    "S.general_azimuth_ellipticity(amplitude=2, azimuth=Angles, ellipticity=Ell, degree_depol=Deg)\n",
    "# print(J)\n",
    "_ = S.draw_ellipse(draw_arrow=True, depol_central=True, subplots='as_shape', figsize=(20, 15))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The second way is plotting the ellipses which outline the region with a certain probability of finding the total electric field vector. This is done by setting the *depol_contour* argument as True. The argument *contour_levels* contains the probability levels which the lines contain. If several ones are used, several lines will be plotted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "S = Stokes('Light source')\n",
    "S.general_azimuth_ellipticity(amplitude=2, azimuth=45*degrees, ellipticity=15*degrees, degree_depol=0.2)\n",
    "_ = S.draw_ellipse(draw_arrow=True, depol_contour=True, contour_levels=(0.05, 0.2, 0.5,))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last method is plotting the probability distribution of the electric field. This is done by setting the *depol_prob* argument to True. The colormap of the probability distribution is varied using the *cmap* argument.\n",
    "\n",
    "**NOTE:** This possibility forces the INDIVIDUAL option of subplots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "S = Stokes('Light source')\n",
    "S.general_azimuth_ellipticity(amplitude=2, azimuth=45*degrees, ellipticity=15*degrees, degree_depol=0.2)\n",
    "_ = S.draw_ellipse(draw_arrow=True, depol_prob=True, depol_contour=True, contour_levels=(0.05, 0.2, 0.5,))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save the figure as an image file\n",
    "\n",
    "Finally, it is possible to save the figures if a valid file name is given to the *filename* argument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image Subplots figure.jpg saved succesfully!\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 15 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "S = Stokes('Light state')\n",
    "angles = np.linspace(0, 90*degrees, 5)\n",
    "ell = np.linspace(15, 40, 5)*degrees\n",
    "deg = np.linspace(0.1, 0.5, 3)\n",
    "Ell, Deg, Angles = np.meshgrid(ell, deg, angles)\n",
    "S.general_azimuth_ellipticity(amplitude=2, azimuth=Angles, ellipticity=Ell, degree_depol=Deg)\n",
    "# print(J)\n",
    "_ = S.draw_ellipse(draw_arrow=True, depol_central=True, subplots='as_shape', figsize=(20, 15), filename='Subplots figure.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Poincaré sphere\n",
    "\n",
    "The second representation method is using the Poincaré sphere. Each Stokes vector can be represented in a sphere using $S_1$, $S_2$ and $S_3$ as $x$, $y$ and $z$ coordinates (noralized to $S_0 = 1$). Pure states represent the surface of the wphere, the origin of the sphere for a totally depolarized state (natural light), and the rest of the sphere volume correspond to partially polarized light.\n",
    "\n",
    "A *Stokes* and *Jones_vector*object can be plotted in a Poincaré sphere using the *draw_poincare* method.\n",
    "\n",
    "**New in version 1.1.2**: Poincaré sphere representation has been changed from Matplotlib to Pyplot.\n",
    "\n",
    "**Note:** Sphinx and nbsphinx have some problems saving Plotly figures in the htmlfiles of the documentation. In order to show the figures, some png files were saved and plotted in the documentation instead of proper interactive Plotly figures. In all cases, the code line responsible of rendering the figure is commented and the figure included as image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Linear light = \n",
      "[+1.000]   \n",
      "[+1.000]   \n",
      "[+0.000]   \n",
      "[+0.000]   \n",
      "\n"
     ]
    },
    {
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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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t[0]=s*(h*v-p*m)-f*(l*v-c*m)+g*(l*p-c*h),t[1]=-(n*(h*v-p*m)-f*(i*v-a*m)+g*(i*p-a*h)),t[2]=n*(l*v-c*m)-s*(i*v-a*m)+g*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*m)-u*(l*v-c*m)+d*(l*p-c*h)),t[5]=r*(h*v-p*m)-u*(i*v-a*m)+d*(i*p-a*h),t[6]=-(r*(l*v-c*m)-o*(i*v-a*m)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*g)-u*(s*v-c*g)+d*(s*p-c*f),t[9]=-(r*(f*v-p*g)-u*(n*v-a*g)+d*(n*p-a*f)),t[10]=r*(s*v-c*g)-o*(n*v-a*g)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*m-h*g)-u*(s*m-l*g)+d*(s*h-l*f)),t[13]=r*(f*m-h*g)-u*(n*m-i*g)+d*(n*h-i*f),t[14]=-(r*(s*m-l*g)-o*(n*m-i*g)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=Ha(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=Ha(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],m=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m<f.length;m++){var v=[];ut(f[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&\"LineString\"===h){for(m=0;m<g.length;m++)l.push(Q(u.id,h,g[m],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===g.length?(h=\"LineString\",g=g[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===g.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,g,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),M.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"./attributes\":349,\"./common_defaults\":352}],355:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(m(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),g=t(\"../titles\"),m=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),gt=0,mt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),g.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),g=15.6;if(f.node()&&(g=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),mt=a.width,(gt=a.height)>g&&(h[1]-=(gt-g)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),mt=a.width,gt=a.height),o){if(gt){if(gt+=5,\"top\"===j)it.domain[1]-=gt/R.h,h[1]*=-1;else{it.domain[0]+=gt/R.h;var v=m.lineCount(f);h[1]+=(1-v)*g}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else mt&&(\"right\"===j&&(it.domain[0]+=(mt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,g=!o&&\"right\"===j,m=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,m=n.height)),g&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,m+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=m;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+m-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=g?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?gt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+gt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-m))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var g=d[0];i(g.x0)&&i(g.y0)&&(h=ht(g),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var m=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var x=m[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,gt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=gt;var mt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};mt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,mt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(m,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),g=d.LINE_SPACING,m=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=m(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom 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n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),g=e._has(\"cartesian\"),m=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(g||b||y||x||_)+v+m+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):m?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];g&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!g&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));m?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(g||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof 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a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private 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if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var u=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/u,r=n(10),t.dtick=\"L\"+ot(e,r,$)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),g=t(\"../cartesian/axes\"),m=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/select\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}e.exports=function(t){return new M(t)},S.plot=function(t,e,r){var n=this,i=e[this.id],a=[],o=!1;for(var s in w.layerNameToAdjective)if(\"frame\"!==s&&i[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var 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i=t[n],a=i[0].trace;\"choropleth\"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),d.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,g=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],g._length=y[1][1]-y[0][1],d.range=m(r,d),g.range=m(r,g);var k=(d.range[0]+d.range[1])/2,A=(g.range[0]+g.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,g.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return\"lonaxis\"===t||\"lataxis\"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e[\"show\"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(\".layer\").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};g.setConvert(l,r);var c=g.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],m=i[0];m<i[1]+2.5;m+=2.5)d.push(a(p,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,\"\",e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":561,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],595:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":528,\"../cartesian/axes\":554}],596:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1120,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)\"skip\"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:m(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:m(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=m(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=m(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=m(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var 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n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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g=c.select(s._subplot.div);if(!(null===g.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var m=e._glimages.append(\"g\");m.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),m.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),m.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=g.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var 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n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function A(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(A(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t))}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),g=t(\"../cartesian/autorange\").doAutoRange,m=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(P,I)),r.frontplot.attr(\"transform\",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);g(r,n);var 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../cartesian/layout_attributes\":569,\"../domain\":584}],636:[function(t,e,r){\"use 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r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../../components/fx\"),i=t(\"../../registry\"),a=t(\"../../components/color\"),o=t(\"../../lib\").fillText,s=t(\"./helpers\").getLineWidth,l=t(\"../../plots/cartesian/axes\").hoverLabelText,c=t(\"../../constants/numerical\").BADNUM;function u(t,e,r,i,a){var s,u,f,h,p,d,g,m=t.cd,v=m[0].trace,y=m[0].t,x=\"closest\"===i,b=\"waterfall\"===v.type,_=t.maxHoverDistance,w=t.maxSpikeDistance;\"h\"===v.orientation?(s=r,u=e,f=\"y\",h=\"x\",p=z,d=I):(s=e,u=r,f=\"x\",h=\"y\",d=z,p=I);var T=v[f+\"period\"],k=x||T;function A(t){return S(t,-1)}function M(t){return S(t,1)}function S(t,e){var r=t.w;return t[f]+e*r/2}function E(t){return t[f+\"End\"]-t[f+\"Start\"]}var L=x?A:T?function(t){return t.p-E(t)/2}:function(t){return Math.min(A(t),t.p-y.bardelta/2)},C=x?M:T?function(t){return t.p+E(t)/2}:function(t){return Math.max(M(t),t.p+y.bardelta/2)};function P(t,e,r){return a.finiteRange&&(r=0),n.inbox(t-s,e-s,r+Math.min(1,Math.abs(e-t)/g)-1)}function I(t){return P(L(t),C(t),_)}function O(t){var 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e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+m*Math.cos(t),b[1]-m*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"../../plots/cartesian/axis_defaults\":556,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/cartesian/position_defaults\":572,\"./constants\":858,\"@plotly/d3\":58,\"d3-interpolate\":116}],862:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374,\"../streamtube/calc\":1041}],864:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,h=t.surface.fill,p=t.spaceframe.fill,d=!1,g=!1,m=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=f.indexOf(t._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},A=t._minValues,M=t._maxValues,S=t._vMin,E=t._vMax;function L(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function C(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,C()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function O(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function z(t){s=t}function D(t,e){return\"all\"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=m[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,g))}},{\"../../components/colorscale/calc\":374,\"../../components/colorscale/helpers\":377,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/filter_unique.js\":494,\"../../lib/gup\":500,\"fast-isnumeric\":190}],884:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var 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g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/domain\":584,\"../parcoords/merge_length\":897,\"./attributes\":881}],885:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":881,\"./base_plot\":882,\"./calc\":883,\"./defaults\":884,\"./plot\":887}],886:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=o.selectAll(\"g.trace.parcats\").data(a,p),h=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return l(t.x,t.y)})),h.append(\"g\").attr(\"class\",\"paths\");var y=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);y.attr(\"fill\",(function(t){return t.model.color}));var x=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(x),y.attr(\"d\",(function(t){return t.svgD})),x.empty()||y.sort(g),y.exit().remove(),y.on(\"mouseover\",m).on(\"mouseout\",v).on(\"click\",b),h.append(\"g\").attr(\"class\",\"dimensions\");var w=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);w.enter().append(\"g\").attr(\"class\",\"dimension\"),w.attr(\"transform\",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll(\"g.category\").data((function(t){return t.categories}),p),M=A.enter().append(\"g\").attr(\"class\",\"category\");A.attr(\"transform\",(function(t){return l(0,t.y)})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),A.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(M);var S=A.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(g),N(g)),g}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function g(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function m(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500}],892:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],895:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":888,\"./base_plot\":890,\"./calc\":891,\"./defaults\":893,\"./plot\":899}],896:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var g=[[],[]],m=0;m<64;m++)g[0][m]=m===i?1:0,g[1][m]=m===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:g[0].slice(0,16),dim0B:g[0].slice(16,32),dim0C:g[0].slice(32,48),dim0D:g[0].slice(48,64),dim1A:g[1].slice(0,16),dim1B:g[1].slice(16,32),dim1C:g[1].slice(32,48),dim1D:g[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],903:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],906:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":900,\"./base_plot\":901,\"./calc\":902,\"./defaults\":903,\"./layout_attributes\":907,\"./layout_defaults\":908,\"./plot\":909,\"./style\":910,\"./style_one\":911}],907:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],908:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":907}],909:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers,h=t(\"../../lib/extend\").extendFlat,p=t(\"../../plot_api/edit_types\").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){o=!0}));var s=t._fullLayout._dragCover,g=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(g,m);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",O);var _=b.selectAll(\".\"+l.cn.sankeyLinks).data(v,m);_.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=_.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),m);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\"stroke\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var C=b.selectAll(\".\"+l.cn.sankeyNodeSet).data(v,m);C.enter().append(\"g\").classed(l.cn.sankeyNodeSet,!0),C.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var R=C.selectAll(\".\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),m);R.enter().append(\"g\").classed(l.cn.sankeyNode,!0).call(E).style(\"opacity\",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var F=R.selectAll(\".\"+l.cn.nodeRect).data(v);F.enter().append(\"rect\").classed(l.cn.nodeRect,!0).call(P),F.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return u.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll(\".\"+l.cn.nodeLabel).data(v);B.enter().append(\"text\").classed(l.cn.nodeLabel,!0).style(\"cursor\",\"default\"),B.attr(\"data-notex\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\"text-shadow\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\"text-anchor\",(function(t){return t.horizontal&&t.left?\"end\":\"start\"})).attr(\"transform\",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?\"\":\"scale(-1,1)\"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../registry\":638,\"./constants\":919,\"@plotly/d3\":58,\"@plotly/d3-sankey\":57,\"@plotly/d3-sankey-circular\":56,\"d3-force\":111,\"d3-interpolate\":116,tinycolor2:312}],924:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var 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n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":937}],966:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":388,\"../../plots/cartesian/axes\":554,\"../scatter/plot\":947}],968:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":503,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"./attributes\":968}],971:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],972:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":554}],973:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),f.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(g,c,x);return 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n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var 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if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,g=-1/0,m=0,v=0;m<f;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":943,\"../scatter/subtypes\":951,\"./constants\":980,\"./helpers\":985,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":930,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/period_defaults\":946,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"../scatter/xy_defaults\":953,\"./attributes\":978,\"./helpers\":985}],983:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],984:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":935}],985:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":980}],986:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/get_trace_color\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":568,\"../scatter/cross_trace_defaults\":932,\"../scatter/marker_colorbar\":944,\"./attributes\":978,\"./calc\":979,\"./defaults\":982,\"./format_labels\":984,\"./hover\":986,\"./plot\":988,\"./select\":990}],988:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var A=m.dragmode,M=l(A),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||M||S){if(M||(M=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(O[g]),N[g]=x.c2p(z[g])}else C.xpx=C.ypx=null}if(M){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x,t._context.plotGlPixelRatio),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":942,\"../scatter/subtypes\":951,\"./edit_style\":983,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],989:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var 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_.remove();var D=null,R={};v&&_.each((function(t){R[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!D&&b.isEntry(t)&&(D=t)}));var F=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),B=M.height+1,N=0,j=S;T.hasMultipleRoots&&b.isHierarchyRoot(M)&&(F=F.slice(1),B-=1,N=1,j+=1),F=F.filter((function(t){return t.y1<=j}));var U=p(k.rotation);U&&F.forEach((function(t){t.x0+=U,t.x1+=U}));var V=Math.min(B,S),H=function(t){return(t-N)/V*I},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},G=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,z)},Y=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},W=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(_=_.data(F,b.getPtId)).enter().append(\"g\").classed(\"slice\",!0),v?_.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=b.getPtId(t),n=R[r],i=R[b.getPtId(M)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+U;e=t.rpx1<i.rpx1?{x0:t.x0,x1:t.x1,rpx0:0,rpx1:0}:{x0:o,x1:o,rpx0:t.rpx0,rpx1:t.rpx1}}else{var s,l=b.getPtId(t.parent);_.each((function(t){if(b.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(b.getPtId(t)===r)return c=e}));var f=u.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(c/f),x1:h((c+1)/f)}}return a(n,e)}(t);return function(t){return G(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():_.exit().remove(),_.order();var X=null;if(v&&D){var Z=b.getPtId(D);_.each((function(t){null===X&&b.getPtId(t)===Z&&(X=t.x1)}))}var J=_;function K(t){var e=t.parent,r=R[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}v&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),f=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr(\"d\",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(m,i,k);var p=s.ensureSingle(c,\"g\",\"slicetext\"),_=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=g(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),g=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return m(Math.pow(t,g))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr(\"transform\",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var g,m=o.split(\"+\"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v(\"label\")&&u.label&&y.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&y.push(b.formatValue(u.v,l)),!h){v(\"current path\")&&y.push(b.getPath(t.data));var x=0;v(\"percent parent\")&&x++,v(\"percent entry\")&&x++,v(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){g=b.formatPercent(w,l),_&&(g+=\" of \"+t),y.push(g)};v(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return v(\"text\")&&(g=s.castOption(r,u.i,\"text\"),s.isValidTextValue(g)&&y.push(g)),y.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":905,\"../pie/plot\":909,\"./constants\":1048,\"./fx\":1050,\"./helpers\":1051,\"./style\":1056,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1056:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1057:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1058:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1059:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1066:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},{\"../../lib\":503,\"../../plots/domain\":584,\"./attributes\":1062}],1069:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1062,\"./base_plot\":1063,\"./calc\":1064,\"./defaults\":1068,\"./plot\":1070}],1070:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib\").numberFormat,o=t(\"../../lib/gup\"),s=t(\"../../components/drawing\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../lib\").raiseToTop,u=t(\"../../lib\").strTranslate,f=t(\"../../lib\").cancelTransition,h=t(\"./data_preparation_helper\"),p=t(\"./data_split_helpers\"),d=t(\"../../components/color\");function g(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function v(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return D(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return u(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return u(0,t.scrollbarState.topY||0)}));var c=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),c.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var 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n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",u(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=y(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=D(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),g(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number 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fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],239:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],240:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],241:[function(t,e,r){var 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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=g;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,g=d[0],m=d[1],v=d[2],y=i*g+a*m+o*v,x=c(g-=y*i,m-=y*a,v-=y*o);if(!(x<.01&&(x=c(g=a*h-o*f,m=o*l-i*h,v=i*f-a*l))<1e-6)){g/=x,m/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,g,m,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*m,_=o*g-i*v,w=i*m-a*g,T=c(b,_,w),k=i*l+a*f+o*h,A=g*l+m*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":68,\"gl-mat4/invert\":98,\"gl-mat4/rotate\":103,\"gl-vec3/cross\":157,\"gl-vec3/dot\":162,\"gl-vec3/normalize\":179}],306:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){\"use strict\";var 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null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=g,r.mallocUint32=m,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,\"length\",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],310:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){\"object\"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t(\"./lib/vtext\"),i=null,a=null;\"undefined\"!=typeof 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n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var 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   ],
   "source": [
    "S = Stokes('Linear light')\n",
    "S.linear_light(azimuth=0)\n",
    "print(S)\n",
    "S.draw_poincare()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting options"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, all states are represented on the surface of the Poincaré sphere. In order to plot depolarized states inside the sphere, the *depol* argument must be set to True."
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  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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",
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   "source": [
    "S = Stokes('Linear light')\n",
    "S.linear_light(azimuth=0, degree_pol=0.5)\n",
    "fig = S.draw_poincare(depol=True)\n",
    "fig.show()"
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    "The figure size may be varied using the *figsize* argument. This argument must be a (width, height) tuple where the size is given in hundreds of pixels.\n",
    "\n",
    "The axes and guide lines may be removed from the drawing. Also, it is possible to avoid having to manually show the figure."
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  {
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   "source": [
    "S = Stokes('Linear light')\n",
    "S.linear_light(azimuth=90*degrees)\n",
    "fig = S.draw_poincare(figsize=(4,4), draw_axes=False, draw_guides=False, show_fig=True)"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting multiple states\n",
    "\n",
    "Objects with more than one vector can be used. If the object is 1D, a line may be drawn between elements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "S = Stokes('Linear light')\n",
    "S.general_azimuth_ellipticity(azimuth=np.linspace(0,179*degrees,13), ellipticity=np.linspace(0,45*degrees,13))\n",
    "fig = S.draw_poincare(kind=\"scatterline\")\n",
    "fig.show()"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If the object is 2D, several lines are drawn in the same sphere. In this case, the first index of the object will be used to get the lines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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   "source": [
    "S = Stokes('Light source')\n",
    "az = np.linspace(0, 179*degrees, 19)\n",
    "el = np.linspace(0, 44*degrees, 5)\n",
    "AZ, EL = np.meshgrid(az, el)\n",
    "S.general_azimuth_ellipticity(amplitude=2, azimuth=AZ, ellipticity=EL)\n",
    "fig = S.draw_poincare(kind=\"line\")\n",
    "fig.show()"
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  },
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   "metadata": {},
   "source": [
    "If an object has multiple Stokes vectors, the figure may be divided into subplots using the *subplots* argument:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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     "metadata": {},
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   ],
   "source": [
    "S = Stokes('Light source')\n",
    "az = np.linspace(0, 179*degrees, 19)\n",
    "el = np.linspace(0, 44*degrees, 5)\n",
    "AZ, EL = np.meshgrid(az, el)\n",
    "S.general_azimuth_ellipticity(amplitude=2, azimuth=AZ, ellipticity=EL)\n",
    "fig = S.draw_poincare(kind=\"scatterline\", subplots=True, figsize=(15, 3))\n",
    "fig.show()"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting parameters\n",
    "\n",
    "*py_pol* has a powerful option to improve the data representation. By using the *param* argument, we can plot the information of one parameter. This parameter may be a string representing one method of the *Parameters_Stokes* class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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   "source": [
    "S = Stokes('Linear light')\n",
    "S.linear_light(azimuth=np.linspace(0,90,5)*degrees, intensity=np.linspace(1,5,5))\n",
    "fig = S.draw_poincare(kind=\"scatterline\", param='intensity')\n",
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    "*param* can also be a numpy.ndarray of the same shape as the py_pol object."
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   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
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   "source": [
    "S = Stokes('Linear light')\n",
    "S.linear_light(azimuth=np.linspace(0,90,5)*degrees, intensity=np.linspace(1,5,5))\n",
    "fig = S.draw_poincare(kind=\"scatterline\", param=S.parameters.intensity())\n",
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Angular parameters may be easily represented in degrees."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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   "source": [
    "S = Stokes('Linear light')\n",
    "S.linear_light(azimuth=np.linspace(0,90,5)*degrees, intensity=np.linspace(1,5,5))\n",
    "fig = S.draw_poincare(kind=\"scatterline\", param=\"azimuth\", in_degrees=True)\n",
    "fig.show()"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The colormap can be varied."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
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   "source": [
    "S = Stokes('Linear light')\n",
    "S.linear_light(azimuth=np.linspace(0,90,5)*degrees, intensity=np.linspace(1,5,5))\n",
    "fig = S.draw_poincare(kind=\"scatterline\", param=\"azimuth\", in_degrees=True, colormap=\"viridis\")\n",
    "fig.show()"
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   "cell_type": "markdown",
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   "source": [
    "Finally, if the object is 2D, a parameter may be represented in surface mode:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
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   ],
   "source": [
    "S = Stokes('Light source')\n",
    "az = np.linspace(0, 179.99*degrees, 37)\n",
    "el = np.linspace(-45*degrees, 45*degrees, 19)\n",
    "AZ, EL = np.meshgrid(az, el)\n",
    "S.general_azimuth_ellipticity(amplitude=2, azimuth=AZ, ellipticity=EL)\n",
    "fig = S.draw_poincare(kind=\"surf\", param=\"azimuth\")\n",
    "fig.show()"
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