fourierOptics/scripts/SPIE/Thesis/Adding a WFE in the focal plane.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b0747294",
   "metadata": {},
   "source": [
    "# Interpolating a provided WFE to a small subsection of the field\n",
    "\n",
    "The combination of Zernike modes and the PSD description of a WFE combine to provide a fantastic WFE over a large area. However, the resolution is not suitable to apply this at or near the focal plane of a system. Therefore, we need to find a way to interpolate the WFE in a way that is suitable.\n",
    "\n",
    "I see two primary ways of doing:\n",
    "\n",
    "1. Interpolate the original wavefront to a new area, assuming that the new area is a small part contained within the original large area. This will not add any data to the WFE. But then the WFE at the smaller area will primarily be a tip/tilt effect, without any smaller structure.\n",
    "2. Interpolate the phase information of the WFE, while retaining the PSD relationship. Because the phase is randomly chosen, we could assume that the phase is actually continous at smaller scales. Then the points in the original data are consistent with the zoomed in area, while adding new structure as well. At least, that is how I think this works...\n",
    "\n",
    "Let's first try to recreate the original way of doing a WFE.\n",
    "\n",
    "\n",
    "## Method #1: Interpolate on the generated WFE amplitude\n",
    "We start with the built in way, i.e. the way it's currently implemented in the fourierOptics package for the MICADO ADC."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "faaa95c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import sys\n",
    "sys.path.insert(0, '/Users/joost/Dropbox/Werk/PhD/Documents/Published/FourierOptics GitHub release/')\n",
    "from fourierOptics import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "66c72ac8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your resolution is 3001x3001 with a pixel size of 50\n",
      "This means your grid is 150050.0 mm by 150050.0 mm, with each pixel 50 mm.\n",
      "Generating new ADC WFE...\n"
     ]
    },
    {
     "data": {
      "image/png": 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SoU6AT5YxRYb8M24wI83388qHefuX8b5wgJUPl8n6cRzf+qbncpwfBnpxHL/iOM4PfuSL+5himbifssie3IfR2oJfCPL/V0mgCkjof9rUu0XSrFSVIyRJWBO7oeOR4WIiDhFM/IgkwR8snEcft2l+6mO3SBK/MlW0uleIpc83Vt4+pI1g5kb5q7Qy17j/6lV5zHUucMYvVU45L6ThaIWzzQimHivN93BTIWVvQJO7zPEYUGaGR44JQeRz/6gMV+E2N8ghVrE1ugB4zDmkTs80MCNcmrSo08ElIseYAWWDeRvWimGelBnQoc6cNEWGDCkyNJTCjpHNC8wywSfg17nJ91qZ6TI+dDjAo4NKfiPwux3H+Z3Ip/Gy4zg/xxPmobRM3E9RpAfvcXZkkvYeCf95G0HcFENuklTfSrEbLfzrIzCIYtBaRSturOwNbWpqs3JE4sDXBF4UaselVMQ5wEsrCWNFE75Pgo9DQv3zkfsG5vq0AjePceVz7wAwOc3SoyaKywwUfts9C3m8vb/DSnPIWVCEVEjhpXuMRznOUyG1ctcyP4SPLW6CaebMSdNw2+SuCj4dkWJMlgZtyw4ZUGFIkRxj0syo0WNioJQaQiUM8C1HfEaaHC6h8TZxCbnBLj4BaWYMKdKhTpo512jhE1gvlDFZ/jnXKTLkedof5iOxDHikCpw4jv8C8BcATMX9Z+I4/gOO4/x7PEEeSsvE/RREOXqXoO9z3r8sNLdUJvHpMLiwZXUovgySBLVZp5CIQhwHSAUMduiA/f9NEuaHfkJ8Li4IhSmZwphpUOS8lUkajNq8BFkcbpFg4op3K76t59fnMZLjV158T8aR9X0IMpS/a0CuMGa2GVLOD/AJiHApbUp1fHJwWRqU+Gw+27LwhCRpj8kCc6RCn77ZJkS49n4V+ozJMaLIDA+X0N7WoE2NnoFMBga/Lhv4JceQImNyRObFinCp06FDHZeIIlCnwx5bBKwyJkd1oWDLMcFjRpoZpzN3SR38sPHJSCd/iifIQ2mZuJ/wcL4M61+YyQSYApIsR5mkyQgJU2STbzBosnCFVrNKx8uQGEb1F861yPPWxOqTGE0ZVselVMR86nEpM+c8tZJYuN4056wg1XVzKrMk10mohLq4KK4emHNvyw83FTIe5VjJzPG/qye0PS8iSPmASMuHFHFTEfdfuwrI/Eq/ElCli2egjS5VckwYUAawSbpGlxZNGqa6nZEmy4QxObrUmJGmRo8GbXJMcIkYUOYF3iRt2CdjcgT41OjSpmExbo0xOeakcQmp4UqVT5tVU4G7hMxIMzBWsi4RKSKilMt9shRPpqyUljbzDxwfQyaL4/hLyF6WOI4HPEEeSsvE/YSG8y+wlLujX3zOONrBtLUmpkrI77yBZU1YCCMgqaxfI2F93CQxfSqY426SYM/aJNwjaWKCJFSFZ3y5n4wSI1lAMiSLxPrC+VoZ2DwTxkthCkcZGRJ8lE+al8h1XKrI8OBcYWKHAF/jLiBsjch1STOjaDDlrDtmuCmN/3K5T81UsWnmDCjjMccnYEiBFBFZJrQMCD/DY5cdO/1mTpoZaXbYpU+ZgFUCVgGBUjxmNlFHuLhEVOmySkCWMde5Y82sFq9hQo4uVTzmZBnjE1ClR5uGpQxW6VKlS4jLHfe67BhKQ1w2eI7DB/vAfJrj0WLcT0UsE/cTGM7XkGajJkSFFwIkeb4M/DaS6rpAUmUrRt0y998moe21SKCOEYnzXoYk8So3e5OEBpgiMZ4amYv0zTW+gR3+a+GbbaAyFVaLqeQv+ae4qYjcSwFVr8tb259LKv11ICPVZcEfWktWz5txl2tMTrM08y1yjKnSo0LfwhO58sRWrB02AGks6m09qpQZUKZPhQEzPHoIk6tLlT5lsowZkyNlIBUR1vQYUKbIkCZ3mZCzTJKJ8SrJMrGYtTzm6ELTcoddXCJuc4M2DW5wmxpdu5A0aVFkSNUsHhNytGnYhWlAGZ8sayQzNpfxTeJT6DL1KXu6T344r3DRiS+DJOI3zB36SNNQWR+Ka1fM/TQBBySVtiZtgyFbya9vfoYkUInCLXpOvU+Ti8KWzBn4K0mzMiCxZvXNFj/AYO8rnAcrnG/CyTRN+uqcS/4p59M8FGIK633C0CWVimjk22QZU6PHHa7jErKV3zcwx+xCRTs0NFutgHNMGFJkRpoKA7bYZ5cXuEaL69yxDcIiMgLtGSNvn+PZatklYoMOczzGpt0oNq8jXEIC07xUXnaDtsGn51a4E+LiI2poxcLTzJiTRkxjfTboUDacy9Uo4Nj1OTTX1qVGn4plw/Caw1mDJXTyrWKZuJfxOMP5FSTZNRduDEmob8q/VlYIJMk1ML8rrU6Tth5TIJl+vk7Cq1a4o0DiT6KPp7i4wiFanQdAytj6HJH4aOu5jxzIZOClM7nPaCU5Z5ghWnc5D12Z5H5whWxeKsrhSUEm0uDhEnGdOzYRNmgTkWJO2iTqkDIDqnQZUqTCwFbCHnNCXGoIs2RGGhcR3GyxZ5uLfcrMuGaPyTJmYhqUoXkMn8BS/JRRIteYtiyRH+CfmIRbpU3DNjKVy11kyGfNLmGGx02+Qo0e9VmHoVfk2PVtU7RLzbJV9HW491IB/2QEbQcay+T9DeEA3uO+iE82lon7CQjnFZLECJIYAxKOtCZRxZi1wahskYAEJtFEr8yNcOG2xUbjHgmrpMJFNWJ/4f4HXBz6W1m4nzYgC0DTJOkwZaeok4qEKvjqCryU+GrfL1RZKUzEQyQVMzwpMJ96FP0hfcpEpPCRCTQRLgPKNokNKVrfEPEacS1X+tgM/J0Z/vRdmhaCGFkqoGdtWYXWN6JHlRCXHjV7XMAqPsesElDnkBxjey1pg4iPydGiyTZ7jAy8oYk9hwwgHlKkQdvQAqVpukpALeoSpQSYrcwGNvFMyDInjceMHGOGFKifHrEyAwaA50B1mbwvxLLiXsYnHc4/JknUkCTocOF3/dui2lCxbH0HNammFm7Tn4tUPKXdvYEk6O8naT5qsk9xUZ7ukywAFaByJol5/Yy1mz3uv3EVwhSZyjFRmMIvB9wLG9DPcK5c7lA8SMSAaoWz1grzWzMuFcZMRzkKvigaVwmYmeQ6J02Tlq2yNREKY6RmPLCFRTKgYpuJnzdilhQRNXrsskOaOVV6tjrvmExZp0OOMR3q+AR2QfCYAQrJFCz0IeZUE26xy4ScVURW6RLg06OGT8CO4XAH+PRNsm/QpsyAIQV23R2Lb6en53jenMDsLPS4NHM61Onk69TyPZ4PD8T26DUHfssyeV+IZXNyGZ9UZE/uw9FagjErt3lRwKKJU7nai7JwhUWOSBKvKhEhmRmp0TQ/jxA2icIokGDUWskXSIYngCwm2qA0niiXmnNcN+LZ73pD3PnyE+azNPNZmrVmx1L1LlyvQjPriF0rQnHcyHeo0bMc7TYNWjSp0mWLfcZkqdOhTYO7NG0iFfqeR4TLNe7iG5aHsEjGtvpu08BjxjE+c3N/l8hW7x02iEjZ24oMDT2wSmSyQooIzyTgLGNu8qqRtc+MNnJocfIQlyo9e81p5gYJT1Ob9eh5MkGneDIlKBWYkZaG5axF16uyYabteGanMKBMvdwh3zmHU+AXHPhXl8kbWFbcy/jkwvlZoL+WUPCOSKTcKgtfbAYqA8TQAm1y1URu+NV2nFhh4VzB+37qogAJG+T9iVUXDOV+3zQOfa9ioZXzvTzDzIxKqY+bFzT6MKwz6vs89+yb5D435mD3eQgN1W+UN0k75lJhTLncZzLL4aYiK15R4UqZAT7HpExiBfAYkmXCNvvMSHNInTqHuIS8yQ5VelznjmkqRraRKYar4s43I22VktqQVD61S0STu6wSMDZ2rhoTchQZ8n38GkOK5txiKCWe3APShn6ovidqG9ukZVkraebke+dsNDq0uIZbEvhnny1eYBeAIiOGFExTU2ZeNk4PyJya9ycPzID/0YHfuEzey8S9jE8knB8hgTYUl9bE65NAEgpPLN63RVIFQ2Kv6i8cr8wSZYhowt9EmCjK+1Za4AHJ0AOFW3wSWX0FwBE8W6+vD/x9mGbWCL+7bT2sh/kifj4QtsYsLeyTvjQy1269C0DOHRMadWErdY2cOzZ2qGm6VHEJadBmTppddmjQXkjGkoRnlCkY8yaXkBfYJUVkZ0EqpW5kMHGVs3eMR7Y6/w0pWnfAOWlyTCgwpMCQlKmcPebssEtoqmvfsESKjKzgp0qXHjUZSmwYJrIA9fGMzH5gpuLkqvuGY35sKYdb7Atd0ZOqXD1SdGeReYuEZRQCJfPvHzvwmz/lyXuZuJfxcYfzZ0nYGcrmUNaHJtApSdIGSZ4vkSRhfdcOzD+l5PlIclbIRROxVu0FEuoeyELwMpLE9ZiApIFZIanGK1B46R4jv2ImzGChlxwTg0NnGZ2KorHudeimapCKoLBCOjNjPk3jpiJmrmfoeQV23F0rUS/TtzMcAQNauEZWXmBClur7pOeKMwM2GQO0aeASUaNrbFlFDCNqyLHhfQv9ThM0wC4v8HnTiEybhO0S0afChCwRKSr0qdDH55gcE+s6CFKZZ42/iS4KMmhBBD49agy8inndxpbWWGZAaPST+npU6XGlN4IT86RCpInpInBJB/nbLznwuz/lyXuJcS/j4wrn3zL/2SQxdNpc+N1HKmitllVVqFXySyQVuMIaTRIJe4XENlWrbsXBA3MubUS+SDLZRmGZYOE6MiIjP0/lLStl1LqSTKrpyzkKzXuG9SEs61HrCpcqpxzXfFxXEmmpeUTRGzKcFSl6Q+NpXcA3+sSxSb4Ci2Stk5468b3JCxQYGkqge4FdonMjNfkpQ0R40x5FhuQY28p7SJEqPXyO7XFK3ZNpOGnucJ3r3LHJuE2DGWk8k2R7VNHJOSr00fuqE2AD2YWoHH5C1sI6ShmUafGiqhyTNbfLTMtG1KZ4coaBuqW69sx7en/hQ+WZ9+OnHfgTn9Lkvay4l/FxhfNnzX8CEqjjgIT/rMkXLg7SDcxtry4cu9jA1ESqC4FyrvVvb5BAMSBJvU/ibfIGyZCDAuKvvS6YtJuKOG9OKVUCZtM0U3UmXNghjCs5Cvmh6BK7ZWjBeZjnKKyztj6gVAmoe5J9ql73wtCBAWULU8wWKm3Amje5Rqo+MSZO4lIyYkCZMVl8jm1CLpMYUKlfiSos1ThKI2CVXV6wsIY+9jjKWeWmDv4tM2CfLYON55iQJc2cOp0L3ihSeY8sddCbzcGTnUOZgR2kUOfQQkM1epQNx7tmWC8hLm4YMc5fIp8/xxBcpMo+RRK3h1Tb2o9IAX/RgZ/8FCbvZeJexscRzh8nYXsEJFilcqLhYvJU2t42Cb3PJ0nw04VjKkjVrV/el8zfNSEvVvfT951LoRptVionOyMT0b3MDC8zI+1Jk28KSeLfBDIxRd9UmicFyrUB97bzUJiykpmTc8cUXamUZSRBhTodxmTJGbk4YMUtmmg9ZpTpWxVhi6a1QI1I0WHDeF5viLIQgR3UfGqLPQJW7fnkpRJV4w1uMyZHz1S6yvveG2zjlwOK7pB0XlgiLa7xJjtssU+aOROyuEQUDG9cjKQ82zwVCEYWhw518LAN0kUISKfEK24/pGgk9XO6VEkR0fYaVBhQfb7LWnsqlfcpsGb+vQZcBp4x7+UaAnv9Lgf+209Z8l56lSzjUYfzJ0k8RQIkoW6T4NHa8Ntb+KcJXeELn4Tqpxi1Mk+OSBqLWlD6C8crRt0nWQh0sdCm5joJq2U9hsDhrHWZs3Wxbp2cZhmPxBDJ7hKA0maXtDcnIkWxNGJymmVz5y2GsyJZb2ynx8zwLD9Zec7alOsb574NOtzmhpzLwA/KqMgyZkiRNg3GZC2+nTOmTeKHLR4kQ4ocUifEtTJ1gC/wZYuBB/jM8EgbtaRHkWb5rmWGBHZLhIVGqvQsNl6mT5sGA8rkDC1QTah61OzzlsnwWXZ4k11eALCy/ASXD62TIGDhFY85fW2iNvqsTc1qrd9Y7YOUzG1alXvAjzrw85+i5L2suD/5cBzHRWqFd+M4/mHHcdaAv43UkS3gR+M4Pn58V/jw4fxJkuSqkIbiz++n8i0KbiBhfIxIJO0qkNEErpX3AbIAJEjARTgl4KKX9jZkXrpPpTTgYH8bcBIVZsWB9SlMPbGQPVhLGqJ9kiQPRE2Xmtc1yXVCOy8GSa4XMTgtk8tPqJjKWRt1OpgAsE07GDCiaMeCqZ8HCJUvZfxDVAXp0mOfLVstK/YMWEWjJP/Q/k0d/vpUbMWr1EBdQMpmartOcJfEGVoetQpjigxZJaDMgJu8asea+QR0qFucXSmB+2xRYWAdAWek+TyvMiNt/LmzlkIY4JMiss8hx5i1u1PiMjj3kcq7ZN7jGdAG6ub3OqKu7AB/2IH/5FOSvJeS98cSfwLRg102v/8E8CtxHP+U4zg/YX5/bNOUHzacn0Sq63UuVrmKP/skCVzxbIUuFlkj2giEpImYIYFTXjR/U1qgJnM9l8IfKp5JAS2YbhahNOBSYcx5kE+ucQpr2wPGoyzToHjxfItc8wyEoWu4EqIu1ArYJ+B6PvEZcQmJSLHNPgND45ubwQYgUEnRUPByxnpVG3rq9dGgjc5rHBvmRp8yRTyLOSsDxTdJtUaP29wwXOuZTbpqyQowMG+MVtJFhmzQoc4hLZqWL943iVuvp0aXrHHtU29uFeGo/7dg2F0LiYigSCr3ENfCLGlmFvdXIY7PMdeiljQoB+C8tfA+DJDBWSUEIgjNbW+BJdaEfHow72XF/cmG4zibwO8CfhL4U+bm3wP8oPn/zwJf4ilL3M6PkODYSqtT9kaKi2PEAi76iGRIGpJaYUNS7S7CIT6SkLWKV/hkMTTh+lxcFKYrdAc1aUAWsDL2TPM+UehK0g5TBgOfGl9tYP1Mhicc5PEyIjVP0TWNw5kZHiCDB6r0yJqqt0KfAN/yolXu3aBNjxpjchYCiXCpmgEFqwR0qbHPNurIB1i+tEIOIlk/xjNDCkBsW5W5IXTDgU2sDdqGFSJiF1Fetiz0IvMpJYm6RNziFYoM2WaPGR4FhlQYWKhDGS17bFOja73BlWfeomnZJ3U6BPgMqFhpP2Cr7lW6fFf76wmjxCOpsqdIpX3N/FS2yXNI0/LEfA5myJyWv+LAn/4OT97LxP2Jx18F/hws0AmgFsfxIYAZzFn9Zgc6jvPjwI8DPPPMMx/zZT54OD9JAicsVtRa7a6T0PACLhpA6XHvT86/SoKD3yKBPfZIFgjlbLe4OKFdMW6t0reBZiyS9KMyl1IRl/xTaSyOnmE+9YhC+VhcKshEF78S4F6VUm5ymqWQH5KrSbXZoM3E8JhVbDI2AwIkIUnDcHWB7aFGTREpU12KAZP6ZCtNr86hPbfCJ2rP2qZh4RGlIiprQ/1A5njkGLPDm6SZGT/uNBt0rFBHuONpK5Wv06FP2UIVh8aHpEHbQjyu8UBJM6NOhwk5+mZGJWBZLDtGCTkw8IzMpRTsv0VzAeuesc+29ef+rs7XpRHpAu+RKCW7CDSinP63SBJ1Hqia+/WQZJ4HDvl0VN6PO5N9wnHpcT2w4zg/DPTiOH7lYY6P4/iLcRzfiuP41pUrVx7x1T1cOD9Ngk1rtT3l4mzFPS4m1z6ypzhAJtsEXHQFBIE7NhGqHub41sI5FwU3PgmccoDQCHUxMNV/Yb1P2e1DKPaqjVpbeMj+lPODPFHosrbZo1rrkiuMCfo+81maCn0K+aHx9AhN0sra5ppao7qEDCgbX2lx9lsc+aVilzJ90sbbo0fVHJuIaFwjSdEkqli5+lvrIN4yA/ZPt9gzs8+U2x0Z3LlG1ybt1ALnGqBn6uPr3KFi4AqQae8ippkYhkmTFJGdeHObG9zmhj1e1ZjaeJ2TJm0w9cXRZGNy9r4CIbl2Uo/YyB5zr17gbAMoI8k4RBJ5hEAirwJ3F24Dqa6rwPPAb0Yq8RNz/xPgzzjv/7h+54SySh703wedznEyjuP8U8dx/oXjOF9zHOcvmdvXHMf5R47jvGV+rn4sz+cB4nGuU78R+N2O4/xOJM1cdhzn54Cu4zgbptregIWpqk96LEIgPgk0skkyUkyTuiblxealVsTvZ5VoQh6RJOwFTNoKeZRxonQ9fTz9twn4Z7gpSV7PPfsmY7KU6dOhzpWrPSZ+lh/I/w8MKdKiiZ8PcFMR1707dKjbphxgJOo1anTZMJXqKi45k+zUn2OLPVJEFjZQZkWAb8Uommy1ElbIY45noYVFKKbIiInxG8kxoZoXRWXO4M4eczboMMOz8nrhYMtuIMKlRZMsE65zxzoE1uhaTxH9N6RoqYkywT0y1bJvcPcJaWbGodAHEhWnzzGHpntYpUeHDe6Yie4C0xQNVj+0r0uREUGpQK9UpRG1ufzWmXSATkhonx6SpNeQKvsUSdanC3/Tb04euAH8jAP/q+/AyvvRQyUz4LfEcTxyHGcF+FXHcX4Z+Nd4Qvpvjy1xx3H8F4C/AOA4zg8CfyaO4z/gOM6/B/wYMlX5x4BffFzX+GHC0ZnPyhDRSlvZI4uYtiZRbTBqZBb+rs3KENka+yTjzPS+myTY9sj8vUDiUTJCkvv3kiwYqYjZNM3Ey1GnY1SKFSv9zubH7LBrXPTS0lz0Ito0CE59xvmcqbEnZJlwg9smvXmGY123qkEdM6ZNPK2YAePdUaFNwzYqNcGq9H0xEUuyLJBlgkvIIXXrCugZyEIXBqEN5ix8I4vQNTtB59gk3IJhh2jjc7Ha12ZrmhkdNkiZilnnTpbpG7hkjsfM0gOr9PDMbgCkoteJ7nU6DCgzpEjaLECgMy3VEGuOOg5mdfhw3lyUVt8KjUxJoBRllnyGpNo+RVJQHak0n54S6MPFI07ccRzHJKXVivkX8wT13x4bVPJt4qeA3+44zlvAbze/P9Hh/AgJPU8/QK+RVN6aiFWEs4hjs/C7wishQpDcI6myX0aYIxlzTIgk6ZtIYm+av90k4XS/RNKQvIUxrpLGY2dWp0OdOWnK9NF5izo9RitWwHKxZ1PPeFXPrdm/GiTlGNtZkMrAqNPBJ7C+HgXD2FicqThfqG17ptqWunhsoZMxWTMibI5LSI8aLpE5b2BhEa2Olb7XpkGPGhMD5Qh/O43at8rL6NJhw0y36ZJmTsFUw5roi4wuVNLH+LaJmTPsFvXPrtNhg46p4ieW0iewkDBwdEYliHe4jj6rGaZL1/DRfQJC1+ztTxBMW+ER3XW9g8AhelseqbZLCNTyPCLS+QzwO4D/7jsUMnmEUAkITdlxnFeR5e4fxXH8Zd7XfwO+af/tk4gnAtKP4/hLyOpFHMcD4Lc+zuv5MOH8q+Y/r5HMc9TtrE/CuVbYpEDiLxKQKB+nfOOwg4BkEPBik1HVjpskplTa3NRqPzDnvbnwWJtnrD/b5ujtBievrXPi13h2a9ckPklmWcYWt3UJLbTgc0yuLBVogM8L7FJhYBuRCp/U6dgmmwpRNAHWzcTyDht0qdGkZRp2EwPZyECxwCTGMT5DChcamnItga1wQ1xmpC1jJM3MTqERuCWyyVwTpCgqC1ZZuc+2YZmk7XPS496kbhecMgPSzBghtq7phSq5ZlgwiwuAUhOLDKnfv0/oQrN0Fx2ucIPbxlmwZxurM8MwUZWoSyhJWxkm75AwTE4QdslNJHGfAHk4W4OVMlJpLxYIIIn/rzvwx76DIJMPX3FXHMd5eeH3L8Zx/MXFO8RxHAE3HcfxgV9wHOelj3qZjzKeiMT9tIbzLyGYtLI7lMWheHNIAllo0oVkvqMm2sWkrrFO0mDUv22TYNdN83etwjNcdBusYCrxKfQz4J+xUpgwjzwKlYBZwSNXGBvVodipAnayzJisrQp1MMHhqfCTy/kB6mIXmjZbg7b10Va8OsfYTi1XFoayRWQKTZ00M/4pXzASlDEBq1bA0qDNNeNlrVL4qsHDdcajYuBaQWuFq7zqOWk70Ffd9xRHrnNoK+kZaXMFgldPyJFjwgYdy36RKn9gqHyCS2uyrZrFIoW4DqrnyDVaXO2JK9TKFLySjE+r0bNy/SZ3KTK0YiCp94tUogHp6Zm8/0nfVBL0jMRgaoZU2u8AZVhRDLyEVOnXzP97SI34DPBzDvyB75Dk/eETdz+O41sPcsc4jgPHcb4E/BBPUP9tmbg/SmySsEM0QWtS1p8HJBL0kMTgKYMkfEh41gGJNH7xMbbN+RTr1ir8NXPOF0kq/ANznG9uO8qAH7P+bJuUMUwa57MM80XLdpjjGU5yRJcqQeSTdmXm4QYd66HRyMtUdIEbJGGvGqhCp8CofWna4L6aUG9zgyYti1Wrd0fOQByigvRMo25EhT5ipyowhA5W0OPKJoE2kOeVZcIQmSSTNecUjnVCIVwM9RVRYyh9HkpF1AnvAatWUq+S9xyTBdjFNUySir2fsEWkadmmQVh1qZ/cAw9raDU2vidQZDva4/LrZ9JoPAWelwUoPT0jo5auZSRNtEmS8hqSiPNIMk8BX0dog2WSJqXyuk/M7yd8Z3l7PGKM23GcK8CZSdpZ4LcB/3fgl3hC+m/LxP2Q4WSBf4VkbJhCFap0XIQu9FU+WvinjBCtzBVS0ZYIMfiOJGvl7Wol73Ox+RkuHif3vfTDpxT9IVHoUs4PrM1pmT45I3ZRap1nZOIeMxGhuIFllZQN7r3oIbJog6p0vgqDC2wSgKqh1CnzRMQmAlioE16RITe4TY8qb/ICOtDX55gNMw9SLFlDy0RRDFwhnuT3Yybk2GLfmkpts2eQaKnateEqLJeUHWigOPnQaDjlfolyEwS+0OaiYv16vSqJF/FQcIFy2KZBJTPADc+t6lI53GX6ZEdm0PIbQB3WetPEg1un3rgL73FJ7merbL0tZe6vvO9FqEQ/h1qtzxC8+3d+B1Tdj17yvgH8rLHjuAT8fBzH/43jOP8T8POO4/wR5JX/kW93ko8zlon7YUOrZhXNQGKxCfJFaSLJVqvoEcB7EF5OBDParOQACpuJB3fGkb+NFs6lsIhPQhHUx3gNEepsyjWd9/OkawN2vF0rwY6IbOJTnrFS344Nq6JM3yahMgMjYNmlbkQryr7QZCdbfNf6higTQ1kcCptAIi9XaEMFKgrPiEjFsxV5CnHiW2RfpEgmvCsurTxobbKOyVEzw3uPkfFkHep2lyDY9IwxPnU6pJnzFW7yWW5TMYIcWahmdoFRXF2HLzRp2QSu4poBZbvYRAZCUdvavldm4FWIcLlx+hrDfAGdNj8prLBSPbPQx1G1RK485vLXDUyyxkVq35r5v/K01Z/7FEk5dQQO0Uamwb6pIxV5auH+3wlDGB49q+SrwOe/ye1PTP9tmbgfIpxrJNao20jCfpWEh/0SCT3PNwe9YW7bvJxUyAHmHYiBzYuiHWWM6AKh8AgkjoJKNWya8WA+SdOyD8HA53bhBuNRjka5zdgMKdhh16gLi7Z5WOfQWq4qw0T8OMYcG7y4TN+MEcuaRHtsHfXKC41KNU5axMn7BkrQhKbCmkUnvsUGp/qRCJ2uiw7/3WfbKhhBBvgqDCKe1l0rcqnSo0vNNl41UfYNX1v9tiUBT4ybXw6VputP9RbRBqXK7BU2SjO3CVpl65CMTSsbE602DXwCXs1/jjID5qRFvOR69KshtVKP3Ok5/ukJUeqSJN08kpi7SJV8k0RF2SOxddXknAJqMM1DRmXv+i3XKn6KsEwGSPL+TojvJOjnAWKZuD9kOD+AJM43kETa5+JAhF83d1Q4RHFw3eZum99bJKwT30lofyEJjNLk4rgxZatoZe+b2/dWkinwL5rHKYCbColCl1pZtubzWZqqJ5SzJq0LsnGFCRZNnRSvVbGIQi01VKYurA2dDynnEUjlusGjlSUxM03CGl322DY0REnUqiIUafuqhW/Uw0QXEmWHlBnQoM2X+R67e1Af6x5VCoiLYJsGgIVzkkG+oYF8UtxmBxDpfvFCde8uHJO1CX2Ox12arJpdhDYVlV9eNYMRdLCCYvIK3eiORO23dCcD4HsB+denRJ+5RHp6LpX1q+b9VIp5CsGpX0Ks2SJkt7VGAp+EkOmRwCR5OLsm/115BcHFpwvne9onxi+9SpbxgaGJc4pwqyGBM7QRqRUyJAMNlAbYN3+/RVJZ++a8yk7xkSSs5whI6IJ6DSEXfbxvcYG1snbzXYpuUi26RLheaCvgAWU7JqtHlTot+xTrhmsd4Vq/bJ3ioolKR40ptLLI/CgbC9MZaQuBaFNOE2OfClkmlE13V+EUFeOos6BQ/Yao8dQhdTMRJ4uO/MoxISRrdwmQWMZ+H79GjrGhN8qV9ykT4bLPlm10iuQ8shi44u9qaqV/U7qhWsSqpL3JXQB6VNHp9EqlVAiqLHOCCAx8I01Kuc4iQ1JRBHXIn5xLdbzIWVhDoBT1IFE5/Ovms/EMSaPydOH+BvuOUpDpcBELLpFg4XcduPaUJu9l4l7GtwvneaRibpEoIW28h3WmbfKNLn8sHNskqYZeJIFAbpqfKRImiaofNaFr41MXAKX9aQVVAPwY141YdMYrMmQY1em7ZYtNK8NDp4nrNj9hT4wtnDEhR9q4/OUsdc8nNKb/IN4iixLxHSNGmeOxxxZzY8EKhhduGnyANYTSZJk1Dn0VM0RXHnNClZ4V/1znDre5YeGMMTmqdGX6DFwY2qvCm6FZDbUad4nYZs9CKUPD0db5lnofPX+Iyw67BsqZ2EpaFY9lBkyMW6A6HFbpGsaN7EBCXEuT1B1KiMtX3RtsV/dZf+tEkm9IQulbQyptHV2mvtw3SJqVEfAmCTq7IIXP3EcWgjyJYEfhhRGyAFzj6YzlBJxlfKuwnG3lU78BEEsTcXoGmcuJHLmFVMDbSBV+hEAmAN/PxSk2vvlby/w9xQL2TeJJordpha5VfoHEm8TAMyu+MBrmpLlGyyYXgJrxgwYZOiBy71Um5GjSspQ2xYO1gtVKWeATqVpbXGNxIo0IT0SgUjbY98Q45QmkkZR7MlosZRWSKm3X2YyApSIOKVqe+Zy0sXANrIBHoZQq3QUZvVTqKulXOCbHxHLIVb4OMDYT3NWt0CcwFbYsLNpAjUjRpYbHzFIK9XkoZTBtlKU7p2+xndond3rOsLTC2M0ZtahnG55FhtSiLn23bLF4K3FXmp9+DpQV0iGprPNI4i7Be+UVLodnxHlkXmXnnPgz4Lxj7vsMkrSfQRYDD0ngbXOOp7XqXlbcy/iWoWIYhTxuAVPHQBwrCTatgppF+Xth4RwjLmLWi03KJold6981j/EiiXjHJ6H/LUIsi5zwKXiZGTW66PgskMSUc4UYV6VHiGvHbGmlKzzr0GDLWVv97rFt+co1Uz3qhPM7XLd8Zq2MFUoJ8G1C1MakJrZf4/tsY7Jq6HF1Kw9kQZHZt8yNNg0LeSRDDUYW1gFhrij+7JlqW71P9PHUP1v8QCbWrVB8vFV+X73wtzQzulQZUGGHXb7C563kf4MOBWQQhL4uMzzmmRWKJ2d010r2HFV6tGjaXZA/C2h5TaMtTdNhg0FdFot61OHyy2eSdBWa00nvz0H8vEnQJ+dM89B3yxTrsn37ineT1WuyAJW9+2TaC5/lGYnjYBXZKKqv99Man7JM9il7ug8Xzm/nIhPERxLsiyQTbfokCXWTpBJm4baQhNKnjBTlfr+BJN9tEgz7iAQO0YprnSRZp8x9mgvnr8igX8GnKwQDn0a5bXjWY1tJFo10XeXlOqRAm3Dq5rc4D1GbbgqzqEGUwgJzPDpsMCFHlZ5VBAp/2rMJXpuLCkHUOWRsqk99fE38IOyMKj0aSPZpGxurReZHh7ptcGpCVvfAiBQ9Axlt0KHCgDtcZ2A8tOekDTQjeLUyadTjW3cbAyrGYGpgFafKKJkYeXvX7G622OPY9fnqmlxrxTxnHSCRIqIYDcmdnlPwhqSZW/gGxK8lOzoTCEDpgPdJlI9r8M7aFTHjqiZc86+uPU+dQ6tULUZDvBlyHmWmKK79OslCcAKU4J9znd/AnQf/cjwJsay4l/FNQ5O2T0L9Kyz8bZFvrdX0+sLfNrmIiS9WzYpXBwvnVFYJ5mefJKHvkWDmymqpkNjAZs6IQpe+V2E+S1Mvd2jQpk4HtUSVhCMe2TKey+Mmr5oKOWeViloVJo25uaURBvj0qFpDJE1kdTrIWC4xdRpRtLanMn2mYpt1MhRX3PcAy1rpU6ZGjzE5Dg0sok1DEPimT5lddizUsTiWrM4hKcQMCiThSqPTsxCNWsgqt/w6XTzmtpkbsEqbBjnTQF01Ev7QLCg1QyWUAQvipdKiSYEhPdNwVLwbpLmrbn+y0+mTdj3CNddw07Pvex4hvdIa9efu48wQfPsuknBNU/GZ+/e4s/bchTma8t4I7FQ/ucdKWz5DZ8/DikIwpwjckiJxEjS3N2hzOnPJe4lT4hMfS4x7Ge8P5/eZ/yibpIBUx7eQhKyskcXmZIqLTJMmiZeIJup1hDqofO0UiW93SDLk96Z5fFVNqnIy0McloQf2gcoK2fyE4UkBvyR30OZdi6b9gu9Ts/BHk7tWhi0Vq8jFVdAiTcSZZV4E+NzlGmNyROYjtMcWan2aNUm8TYMUkTVRyjFhYgQ9arWqC8QeW4CQJbYXlI9afbdpoHMalZ6oVbmKYhSXdwmt8EaohR26VJmQMxatVfu8e9SsR0qDd4yToMAqLZp8gS8TsGoXFX39skzwOWaLPcuauc1n6VHlHQPpKPVPTKh69np0UlBuNmbs5ShGQ8ZujgARHOmE+txszFfXnuezn3kL51eQhPsFbPXtnMILL36daqlHbjZm5qXtjkObvtqInBRWmGci8r1zC7WQQRaCFFaBeYURp/Un0TT028Sy4l7GN8QeCR69QLcjhSTlAxABzevAZ2B6+aKXtlbCWm1r4tYmpEIqilkvQi2+OcdvI/El2TTH7ZE0N6eAPwUfShWxUa2U+vSpkGbIPlu2CdigbWXbM9IUjKGSwAXSvPMM1NCz+LhUjdqYzDLmGncNvzlrVYzaXItI0eYZW7Gr0nFMjlu8bI4ac4PbhsdcZbQgZ7dJB2lWKu+6S81izfK3Pj0zZUchHE3uKQPlAKjJlVAWxW1QFaDXkQERdTq0ecbi8CrRVx8VdTtUSqKY4nbMcxVhjbJxUkTs8gIpU5E3adHkrvVvCVilyV2ilIt/Ih+MYaloFJtZe/1b4dfxvUBwbO9cYI0eGOYhVGHlPbgyGzHNg+fNuRa1CF2X1ftTnEUzKkS9mb5sqnClDM7MzxSS5GeQ75xDz4EvPEWNyk9ZJvuUPd0PF84fJGkMbpJUtdtIIlbGSMqB8CrwFoTPw+hywsleFOBoM1ITu8YIwctHSAWvUIli3VrpK7wyWvhdse6DDIWX7lH0BCeekSaKXIru0FSadctiEDfAGg3aJuFMLMtBE+nAJEM1XZobGEQFO6H5W51DXELTIixavFym16QtNVAw6MgYSVW4wVdRc6ZVArbYZ58txmQtfCPnO6bIyLj3ZQlxLW1RGDITi3PrlJqWea6LVbvauSpOvnh/wDBOhOK4xzY6cNgl5Cav0qVqF7CxEfeon7nOwuyYdH6H64h/i8BGIr9fZUCFKl3qHOJFwpwZljIUT6a2uVqlx5gsBYYM8muMKLKaCuC58wTSULZJCeI8OCFkTmD9/okxmzq7cB9O4PJbZ1z27mFFp8pOWUOYJV1ETblGIiJ7WuIST3dj9SFimbi/RTh/lqSBqM1ATagBkjy1KWmT8GeTEyiNT0UzBRJ4o0mSqFskE+CPuDjYt8lFqfsmrDTf4ywowpccedxN4KUYMjPC0KXTrVOuDYRV4roWw50ZYYvIwnuGpic+H4rHqpS8Ro8uVd5kx7IkNCJcOtStuKbJXQ6ps8e2ra6VtaHYuiZEldSrYZQ+Noi1qd6vvEDXk4bjyD4HFdx4zGjRNBz0wLoSilCnZ0VBOtexRRPANjybtAgR06gmLSZGQKSVu1xHH53qo/2BN9mxyX6fLXT+5R7b9rlvsY9nqZY+d81jKxumdnqPKHWJwJNrGZaK3Dx5jSgFQb5km8Y6w7Pr1nCf7xClXLKjM/Ha9uC0JIwShTnOnoeVE2TzV+KiwZn2WHoIPKITczwkgav7YAaBUU6ANxx48SmoupdQyTJsKCNEWSMZknmPTRKpu1a+bCbQBiQMFGWBaKX8Ikn1XkGO8Ukq8YDEgGrbnCsggVEAUiG8tJJU41OHS4WIYmlEsXSI+FaLydIMzzYmQSXartn6ywCAuzQtdU/vM6RIgWR6yyF1dtmxlegcjzfNt18Vkzp9XTH1HlV22LVTb7JMSBER4nJovLvLDOhSxSWiSpcmLQvlFI10/ct8j62UNWlvsY9OSz82EEvi4pcyL5tMpRE3wi7HpgLX5t8+28zMrkCn93SpEpFCJ/IkcyCHFgpRs6osY2uJ26bBXZrUObTnV4aMNiirhqK5n3+Ognkf9NxBqYAXzey5FX7R4caB54t3S6nIuJSzjdhO1Wc7dQDAm6XnuB59HSdFMqpsZj4jakSlRcia+JkM8mtczdyXyv11koENz3NxV/ikx1PWnHQc5xLwOWQJnQBfi+O4+6DHLxP3t4o3SJqKIEySFAkVUCvjRfn6Iqf6gET6rgnXJ0ng4cL9laOtlL/NheNeWjgmgLNMNjGU0sf0p6Qz6n+RJFatVNUzQ5Or0gKHFNlj205smZClR80wLwRi6FBnjy2umYS6OJdR8WStbFXRWDZe2mWk8p8bbFzPqefIMaY4G4KHbTDOSBunwtBeuzY9y/QZLcAxES4vsMub7NikPaBik7P6qUhCrtkkqZCH3EeuRZ0PVfWog4pdxP9E2R51OujQBRB1psJH2+wbCKdrmpU3yDGmYPjuOhxC6YMqPBJh0ojs6Ix06j53802L9evxxWiIG0bkwinp/BwvmhG64ofSWRO7wD4V7q6NabhHrCjtT0U6HlJFG+OqMw+8GZS5z9llI4lXeCVE8O4Qzk4cVkpPeNX9FFXcjuNsIXMqfxsig7qHZIAXHMcZA38d+Nk4js+/3Xmekqf7yYbT4KJPyBskk2VaJGwRFdyEJOwPpf9pEtYmJUiCV4pgwMW5kdOFYytYp8G1W+9Sc6VaDE585lOP9PaQKExxNk1z5WpPqGPdGoOwQi+sUa4l3hvizVGxiS3Ap0vVekm7hMxIs2UUPAGrdNigR40sYyoMrNJPseRFsY0qHlUunjZy8RwTmty1RlK77BgL1ZkdOpBmTpSSVK4wip7vGi0zSaZgzp+zbAxlrKizoWLnc2MrGyDVaZUuqwR0qKPDg/Xaj/GNOZZnfE9mFAyjRhk0OuqswTsMqNChToum3R2sIja0i9L4OWmLcWsT9TqvWy672s6CCGyGbtHCTPPMJaKUTM3pG4Vlmjm103sM8wVcN2T1dIo3G9FfK1A8HZHLT0gbz5YG7xCwiluKeOb+Pam8Q4T7nSFRWwIrRjqfmcptKwA181nU2ZZ5SD0NrMCnKHED/1fgrwF/zAwltuE4ThX4/cAfRIYRf8t4ep7uJxTO8yQYs2LOyg5JIUn8wNzZJ/EROeCig1+TZKs5IhmGMFr4u1btimGzcL4FUynFmSulAZ1CHd8N7N1VPDKveNw/qHIpM7e4ropwrGG/obD1THWpo7UGVNhn2zIjxLwpZytgn8BOplHjKWGnVOwIL8GyJ+jEd4EPnsEn4Dp3LE1NJOhiXBXgM3SL5trGlE9OGJRKDKgI62JhcVCoR3H4OWn6xstEFowZ6vuRVOQiT9ema5axleDr8SDQiu4eGrSp0GdMzsrYVfm5w6719dapO8dG4FNmYCEetYpVr3OZw3mXiJShULoWu9Yp9WNyBJ5vOeECzcj7/Gr+cxa+aq61LCVznBdoq0XTwji6QHfXSuRKY3geQteV4Qz6eTzFMlfpIMWDS7ILjBCYpQxOBlEI15/gqvspStxxHP++b/O3HvBXH+Q8T8nT/QTD+H1YqEPNol5GfEYU79am5IiENeJzMcnrF0GbkCnzUznZ2sDU/6v6saCPE5NzxzbZTsiRdmcMZmXqXjKBPWBV5OzPthjOJGFo9SsY9YAaPbbZ466pGLUZqYtClxp3uE6ZARXjZKfJbEiRCTlu81ma3EXsU6VBp0Nx1Tq1Ss9AFHPrp32Nlh0f1jMcam3UgQhSIlyCEjZJaiyyQgCKjBgCOlBB/UG61LjOHdOklNtyBsbwCdhmz8IlimerWlH56qvGy/v9zU1pkM6sy6JOvW+Z3oA0aoUBo1N/lG6otEJ53AF7bLFqGC9ZJvb5jcmybypvtXoVuqEslDqfU0RQfbNQCbOnQx2dNi+LnCT+wPWpRx2KJ1OBQJRlkuFiTM3tt5GqO28+s5fNMZd58uPpw7hd4HchJZzNw3Ec//sPcvwycb8/mgs/KyQilyMSZz+FSVQQc4Ak2vWF21XVuEmSqAtIc1Kr8szC33wSmbtCK6mQOh2qxt+zZ4YC+J7g0yHGlS5yCV3X8p/HUQ7XlZpbOcnqR6JsEp/AWoxqpabUuwbvkCLiy3zBNutEfHJs2Q6Apc1dM+ZUgKk4RXqu5lPaJFRmhmLcQwrUoi6B69OjxgyPbfYoM+Ba1KLn1myFGhkaYIUBE7L0qaBT1IELiVor2D5ldAyZDjJWs6ksEzpsmMpWpsxnzQKwywvc4hV0jJm6DS7CTaogFcxbpP7y+siwY1FwduziIDM9exYKAiyVcLFhrA1eVWiWGXCNFsf4zPGMBa/g7ABeNKPp3rWvjUBhNXu9x65POnVP2CamEInzMPMg8x7CJimRGFtdg2kJMi5Smde+/dfliYinqOJeiL+HfPNvA98Wz/5m8fQ93Y8xnD+KJN8DJEHfNH/4dS7Og8ws/ByR4NgKeygNUKvxJok/idL7VMTz35MkdGWRvCGPnfGHdiqLeoEohOES0oquUXEHttqIcGl4bVOXeVYYo1t3TXaarLS6Uwxc7VQBez/FT6VRllSIijFXDP1G1ZKJf/VF7FwXDYUu9BpC17UQilINq3QZu1LFb7HHyDQX1aMkbQQ0gOWn+wRsmMk5c2MUBeLznTW4tz6uctQjUqhPuIUijLpFueguoaVUauLUY+amkSo4uYA6KgJq0aRubG3Vc1yvSaxee5YyqFL+AZULE+uV+w7gIU6LIS57bOEZYdDlzhludQAMaHsN03uQ/kGVnrym+XWeKx1xVhVse+aBG2KbltOq/L6SAk4hKl8Czi+aUb3mCO30SYynM3FvxnH82Q++2zePp+/pfpzRImGOaKKFb/QG0SalNidfNH+fkli/BiQQyRtID1nxa4VSFF7RhL1pbGI3gfUp0zfWeHu9yOazLcsXVkw0zZya27WNLmVZpJlZmpxu7ZXmt29k5RHiJaJWpWrHqtQ3YZ/IxBqtABXaWJxc06R1oVqs0+FNdgwEkKLCgJ55jCJDi7dLBdpnbEygFMNWnrbiy8rjjkiRNg1DdTxcVE0Chn4oMnOFDmrGuzsiZbnVd2kaN3HhbZcZ0KNqsfkhkiQHlG2C1kHLgIVtJmZwgwqCtEJWvrx6cMvrcmiHVqiQp0WTBm2q9Cia6+qwgfqgVOmZRaNsDbOUHy+LrDRp7zUK5GZjUUWyOCPzmAFl+7pREpUlU8hEcHZZ/q2cmqT9nvkMZswgB6UPriFuDk/6iLNHCJU4jtMA/jPkm38OfDGO4592HGcN+NtIKdYCfjSO4+OHfJhfdhznd8Rx/A8f5uBl4jbh/FGSMWGaWF8jaUD2SdggGZIErZxrSHjVFRKoBRL8+iaJhesBCcSi0vXQgfUzLmUEijgvAGGK7qBGujy3TnVb7NsE0D2p4peEAdE1Q8WUEVIzFZf6e6ivR46xTbrKsJC/r9rKs2KSs1TAPcucULhDxSk6O1Hv/wK7lqstU3A8y1fuU7ZJU28TmGZkbwuoMiEgxLW+3iKXFx8VpdWJt4o68tXwObbVfIJhz5DJOFIdJ14mCbNDYRxdmMZkrfhH1ZbaTFVTqV127DVU6Nv6Xm4TFkzNjDBTr5fIVMo5JsxIE7BqYSR9bDWfUuhFF7QhBbt4qae44N0zelRJe8kgiyJDGqcHjPMZBlSoRAPS07Pks5mHOANBqWD6Cj5bJ29fVOq6QBXiZ8Q2ljIySu1JpQY++oo7BP50HMf/3HGcIvCK4zj/CPhDwK/EcfxTjuP8BPATCLXvYeLXgV8wfO4z5FnEcRw/UEdhmbg1jpDKOEQq4ZskbA/Fog9I8OsMibJxRIKHv0EywWYdaWgGC+fFnKdFIsAx1D8yZ3C0wnklxYo/pPldX5Oa7aRAe9Bguyywg0jCZdBsKhUxmeXoeHWLeat1aJOWTbRZwzrQZqQqDBUuiBY+Cgp/CHTQIlqoJgsMWTUwgtL6BI6Rylj8TwTf1gTVp7KgbEwxJmuZJOLAJzCLJKS5VRqCJMMd3hS6HJ49JiJFjS4zUwkfGlhBk2TfrJoy0Li/8NqMCEjhEuIxMxXt2IhpEnhlETbS69YknjPCGx1fplJ69WPRYRLK3rlLkyIjm+QBvsCXySFTfqRKP+YGt+0ioSPcEpjFs4uNLkLXohZ33JqlZurOKciXDHc/Tei6XD45AyAuG2z7RJK8LhorizL4GdaFcG9t087ybHhtsoztgPknKi7xjQ3XjxBxHB8Ch+b/Q8dxXgeuAr8H+EFzt58FvsTDJ+6/AvzLwO330wIfJB5b4v6EtiMPHi0SKAPklXkRDJSa4NJTc2VNc7vKzpVBsklCJdQmZMWcf0oyAV5vryBJOwCmK3LOA4ez0WUGhTInfR9GGa7svGO/9DrFHCAMXdxURHdQw8vMKOY7+ASsEjCgbEdnKRNCzf8FBinQpsGAMlvsoeO3FFdd9PPQ6lgbfxrq0xHgW67zHI8aPYqM8JjTpZY00yxHWp6LT2CHBytNb3FIsbBZbly4roqBCzaMzO8O1y1/XAdBDIwu8wf4H+wMTIAt9uxCNTB2qLrAzYwroE6Z1wawvg4DKrRo2uQ8Mb2HpLp3LZe8So/egr+JPvcuNXbYRZWYOvFebWRr9GjSokeV1w3LR/27hxRMxS6vU9ttWAhqTprqyX0mhRW8cEjkubZxe69eoHJ/hBOKDifOgDeb43pSvccpcHSavAt8RmCUOWlGFNmgY2Gj23yB38yXP+DL9MlH/OGgkorjOC8v/P7FOI6/+M3u6DhOExkG92WgZpI6cRwfGt71w8ZbwGsPk7Th8Vbcn8R25IHC+RESnrWKZxZhkzdI8GjFtW+RME6UMrhnblfKoFbYLXOcNj61SakLhYp7FumDfTg5KkMqIrMugGOHOjvsGie7hiSXkqj2yt6AVrfJPO9Z/rEOBQA4xreVssqlW1yzTTttVqq/dpoZqwuNPRWXqPdI34AjaeaWdSEMFEmwA8ps0CGNNiazZuEQyEe50CDJ+w7XLRSkSU1pgzqKDJKFomCw4wFlPs+rlvaniRckSdfpWKxXFYuK6yu/XWZlJu6HQ4p2MIMMlEhxSJ27NPGYW3vcMgMW5fUN2vTMhB7M+dLM6FPGJ5G3FxnaXZP6fQdmuS0ysovyDM9CYrpLSpnXVhWgygYCaJfWZdfhTgyLx7N+NOP8JfLvnOP0gFPI18/xX5IPcGdtDZeI9dkJdCRpd0pXmCFDMmTQRdbCZU9axI4oPz9E9OM4vvVBd3IcpwD8HeDfjuP4PcdxHvIKv2kcAl9yHOeXSay/nnw64Ce0HXmwUIm5VsnqP6KJtk8yQgwSuMQnsWXtkyT8dRLTKD3/OrIA9Elog1qRg9iy9jMUmvcAGB1ckQo8A9PWGsXPCU1Pk1KVLjkmNmlW6OPXjq1B1HVe5xYv06FupNfiordBhzqHdoiBClYAw7ZI2apRuMrXUJm8KA2TgQY6Vkxd+LQZKEZWXSPs2SI0CSfEtdxkdf9T5oQmbaX0qYioQ91yv9PMLSavDUKxqxXM99AoJAGb9JUep+fV5KlCHqVYDihbJskeW0QGThlR5Bj/gsQdsAImtayVhqZM1NHHl91JliIjdMCy2sTKrqlCylTsgnMf29ehu9DUXeS/6/Xr4jA2r4By6/W9XGyolumz3juRGq+MZYrkTqcyXo3ERIwSrLwKz9y4R2pN3jP/ZEQlGjHz4NrsiCcOL/nwifuDT+k4K0jS/ptxHP/X5uau4zgbptreAMPTfbi4a/6lzb8PFU8Exv0w2xHHcX4c+HGAZ5555qNdwBGSmBfZIClzuwpxVO0YkMjZfXOfEUnVPCKxdNXqeTGmJMIepREWoOAPwR/i50XlN97J0Z41OOn7lF6Uxl/Aqk2igtX6zA37Q5uRytH2ObZbenWt2zZwiMfM+kkrrU7UfBPbiGyaIcNa3Sk7RT23dfIMCFShiVINn7QCdhHJfZ0ORZOUtDmo1zc37Iw0c/oGN1fZt16XNil7duLOxLJc+lQsJ1sXAlU/qkAGsNW8JmLlh3fYWPDuHjGkQIWBvcaRScaysAhjZp8tYfYYtkiamV2kFtWTugPQRA6YJrJrn9uh8WnRpAsy5UdVpmpIpX4uKqBSls0uLxgNqzBkjvHZZt9y6y13/KY5eQnONqCTX5ed1mxI/q6hEueBt8DpQNW9z7CU4c3ScwI8nZzgdIB3HLj55DQpYwdC98MMf/j2tGlHSuv/D/D6+yrgXwJ+DPgp8/MXP+Sl2ojj+C897LHwBCTuh92OGEzqiwC3bt166E+R838imShzZH6+SKKM1AQcmH8qmAlIquaQRP+kGPaUZKyYinP65u8VEqjELAKzqcfZKEs5P7DKvbrXIfJdgUyCFe5lYLyTpUaPHXYthq3whDrdXaNFRIoWTZuEAVuxKU1QIYmspdBNjLNgz7JQ1CNE3fl6ZpiBen6o6lGrWxXoqGmTUvukyswa2GJum2eaCNXiVRuJmqA8A8UoBbJJyyxGq7YKVU62Nizv0qRnfEKyJIZaKpY5pG7VlYplC49cvg6Kv6tbIEhC1+SqHt266AF2QIJSHdUkS+d2lu1CkL2Ake+zZV0Fb/GyhZmUjXOXa1To2zFsLpFtGO+zhUrrtTKf4RlITBrStVkPNzzntHqJfO9csOvyJWZe2j5PgPsvZkhFEZdfPxMgfAArU1grT0k90yY7OmOeucRK/pzT+iWr13kSInYcotSHSWXzD7rDb0T8Qm47jvOque3/gCTsn3cc548gZro/8iEv1YbjOC8Af4ZvVE7+lgc5/rEm7k9gO/LBobDFa1ycCwmJAZTCJQFJk7FJAqdo4tYknlm4n4pyVGDzIomgR+XxUzgbZbmUEW6uSql9ArL5CeNRjvPRCqQgOPEploa2aksvJJkGbbulV9aEMkOucddiporbDihfSOKLpkkqDnEJ7TnrHOIx5w7X0fmL2ljMMkHmnBetf4hS/pQyCNhzzxGHPY+ZrUTFVErur6wQGfpQZWYaZeqdLVX+MTu8aaEVofAJH11nVSquDfAVblJkyKHZb2yxj0to+gVZfAIOqVNgaEexqRmXjm9Tvrdy1xu07YIpDJ4Qpfdpta9qR8D2EvQYTbwuIV2q9rXrUKdNw/xfBzB3bVJWhs9dmpa7rdCKslUAIi9FLdXlckcGD08KK/bjreZbv+n0n5LvTfVGzKESp3C5c8Z0zVACPQg8/4lK3ACR++jw9ziOfxWh532z+K2P6GH+S+A/An4G+NBWXo+TVfKxb0ceKDTp+oh1q+LQynt9g6T5OCWpnl8kgUReJIFJFGZZDP1d8fAUiQS+MIWCjBxzDbUv8FQSLmKYaq1LjxrngXxdAlYXEnTEO4YeV6XLFvv2YbW5pFvmMVkOTWWtST9rFI51DokMfiwCkp49rsMGOocxzYwddgnw6VNBFJIFWjQt3n6NlqWxqVinwND6iyjOq4ldIQeFAgBuc+MClJMyyUqhEJfQ4u8941MCmMQu1Mdw4fzKkGhxzT62SM6rFpNXFouet8E7lI2MXIYlzy7g5Pr6KAVThDweyp2PSNkGbNcoLm/xCk1afJnvse+f0gs71JmQEydI8y9tFKueaTbK++9bZo4af4lfCrYZWmRkd1wvuLt8LnwLptBx6zRP32aYL1qI5521KzzDPZyXEajkGoK+Kq/bg27+CvWTexCBPws48nzWF6CdxxkxzhPbOP02EcZx/Nce9uDHWXF/7NuRDwrnryDV8DaJovF7ScaHBSSCm9DcT1klBySJ+vv5RljFJ7GGVa43JJxu39wWuhCmmE3TpFIRbkp9QwJ2ox3S7ox55NGotQl8HzcljbwQl8ksR9XrMiPN5DQLeezf1EZUHPbGBvcdALsErCLDe8cWQmhyl5Fhk2yzb5uIN/iqHWemhlNqbtSnQo0eq+b/LqFVW6aZG8ggstNwADvR3TUNSqWyuYSGtpiy+O+YHA3aNnkCNtnr7iIixQ679CmTIrLJSsQ0OWFUmOZdlom1j/UJ7Ig0hRl0MeqcbDCfelRqcv0qsQ9YtRW1XpM2XpXls+hjrqPeNKnU6HGH66jvt16j+qjMKVvzrjodrnMHnWmprJhFaf6EHJ/nK+ioOlkQZ+Zj5ttdUUSK+9cECnGJaOc3rQJWoaZx/hL5qlFMdhAr2LdIJukgFq/3GgWZk/kEjQqLcWzD/CmKv+c4zv8G+AUuskruf+tDknicrJJPYjvy7WMdwayPuDiZfZOLfiNKE2ySNC9BEvmrJI5/PskghRHJpJsQGQHVd5KRZ5tnyXVk5H1r5lt2Cz4jTRS6DIIKbipknkoThi65wsTysYdBkWatxQ5vWpMgrbAVRw5YZYbHHa6jwhz1qNak1KXGhrFlTRFZSqDizMoD16abKhDV2MklMqKbvmV/qD2q+KNkbZWo7BKBRPoLCTllWC4jy1LRKTId6pbSl2VsZd9tGtb/JMeYDTqMDIYvplRZC9FU6dqmqDZPlc2iGPwuO/b+9VriGaKhMy/1GpWyqN4jWiWXGVzwbHEJWTWviwqOVBC1mNyVkSLHJZawqlIF2YUd41ubWF045nhm4Z2jlrYgC3mZviTt0LgVujnr+aLVetqbkU9NiW+CM0AAyjXEZGomEE93rQTAPHPJNnyflIgeaw36UPFj5uefXbgtRgbHfWA8dc/2kYaKavok1bNP4tS3zcWhBy2SpO2TuAS+av62TsJGySz8fRs4cuQ863L4SmGCXw4IBj5ne5eZbkIr1SSdmTN2zVT1aZqz/mW8zXuMRznqNcFJNaGUawO7ZVcvk/cnjkPqvMJ3U6XHDW5bKELpeCqIWbRv3WPbVNu3bVJTLN0zsuuAVW7yqq1wZSs/t8MXPAsrFCxNUGc0yssX2Apdk3fiGihydm0ijsnac+j1DynyeV5ljy0OqRsHxIlVVWry10VM6HK+hTp0QepRswuJ+mR7maJNaj2qqJWqDinWZKfPQ5uFc8Po8ZjZhVE9VdRhUQc/6IxLnZuZNj0FtQXQhU7dAydm9wGYhUx2KhsWOxdbgJl5Hrrr0KZxyo0Yuznqsw7l0QnjUtbCLEoDPWsIrW7+3AqXU9KkfK+2IpL5hfdH422qPPsxt6AeJJ5GqCSO42sf5fhPbeJ2/kfE+GmENAt9JKlqAtdKWbHugOTVChfu+6q572KT8iYJQ0Ubk1OSpF4BNyX7T78cMC+MRSEJFF1JLe1Zg+lra5CC9PacQn5oneM0aXzBjMrS6li9SSZkqdOxMuwuNcOrFl9n9dteHM+lf8sytlWg0u00Oas/d4BveORScS4qBGUxmFsYISJlBBwXnQFVIq/J9Q7X2aBjFxDdGSyOGVNDKW2iLjrpAbzKTWakLwx4kETpXoBEALs7GFCxVECR3EPVk8fW4QhdqlyjRZOWZZkAVjWpuxylUKqbo4h9RvY1UwMpfS0XrQaEZjmhwoA+GKy9aaGXirEIqJnKXseiLfYMANsIzhr7ABVcFSP5XOXvnnO2Ibi8S4h/MmJcyjKkQFRyKc6GXP76GafPXMINz2VQcT6U3VIUcez69LwqG3SemCr3aUrcjuN8v0EbvtXfLwPPxHH82rc7z5Pxyj+GWHnxPc6maSh4cMtJeNnKw15USu6Zf5qcfRLcWlWSRwjVD5JRZm+Q+HgrBbAFpGB6JCoGvxQQhVnWr3aYzAQjbZ02CUMXmtLp992Er1wzOLDIj2+gtqWCBfetMlCl6ZqIlRKoqr8+ZVpcs9xsxbsBi6UCNuEoha1Gz0rCg4UKtkfVNiIDfDtIVxcWpcnVDGQBybgz/dIpzqw0NX2+eo4UkZHSJ1RFwCS7sqmQk9mS0vTssceWxcD1eWgiL9O3yVgrexdJVPqa1OhZyqQ1cqKNx9zOlFY2TpYJAT4vsAuwgN27dj6l+r3oTkOhH20Yq+IRsIMedN6njjNTKwIdSLzNnn1d5gbvBgxOLq9vdnRGXBWsunpyn5UeHD1fMkk8onxywsoMpnXInZ4z80S8s/bGFPJw1CiRMrCYQm9XHvD79nFGjPPEQTffJv51x3H+H8DfB14hmTm5DfzPgGeBP/1BJ/nUJu6zA2PCFWLsVGdwkEkc+yBhk6wDP0QCoUxJqvIfJEn0yhSZApkYvncGfkaSdYtE4GManNOjNSnkUyLsmKc8Dl553oh5ziitD5hNjdT71Kecl4bYbneH89Dlpau3LQ59h+v0qNKgbStLqaQrtrrWZLFnfGSV2qYzKBUGUIqZNuV0EoxykXX7rlQ1TZTjBUxZG4uqwrzBVwGpnENcKgyIcC01L8uEfbYZUmSHXUYGLpEmZdb6k6gHiU5v71JlRJGAVcsdV3WjQgXKokmERDlUvegT2KEJgDGR0jmOOdsUVFOpAN/CMdvssUpgBT1VumyzZ7F3rbQ1ckxoITvkFtcQT5PuBTl50wyliHB5mVvWYmBRsak7qBlp03SVvym+rc1RtRboUKfoDmlygHOKcLQB6lxgyZQ5AWCYL9DJiyPh870DyyxZ75wwLcE8s0LLvWZ9yh93SMX9dKSyOI7/pOM4q8DvRYgXG8iU99eBv/7tqvHFeDqe7ccVLQzFz4FUJsGyM0iS1kT80hkrBVGfne1dljFmfZImplIDtcFZAKYOV7Z6DFJlzsnD3+UipBLIY0wP1mAK4bZLFKbAj+HAgc0URW9I1RM5tZuK6J5UqZV6wjzxh5aVoPaemky1YdU3cAHI1lipfkmFKWwE3X6rck/phpogRdouya9F0/qXaKUoQ3ATK1bdBZTp0+IaXapss0/LuOSJ2m8Hj5mlvhUMVq/V+SK+q0yLRTtWkAk6izCEOh5qA1COCW0lqmydRCU5pGyogrvs2Karvp7qrQ0i5NGRcNoYDfAtPOIZyT1gm6P6uMLn9ugveHxrqLPgmJxVhbpE9noCxCdmhzctdq3H6UBlz1gBLMr6fWSwhChpxcukU7pCqhSRbsyp3JeBw7Woi+8GdNhgUCpRnA3Jzcb40xFBqcCZB+blYuUtyDwP84woOxW6ehLiaYFKAIxp3t8w/x4qPpWJu8FbrGzWOEtdvihv75NI2BX2MJS+s6PLkugPFk6UImlIbsLKS+9JYt+cspKZc+/tDRiJ3wi3zDHqW5KJIXDAj1lZHzId5cgUxuQ2u5z01yF0TJKtEUUuRW/IMKgzSJWplbu2slZ8WptiAT53uM6EHFvsEyw0tVSocZ077LNNmQFv8gKBaWQtDtDVJKCJU131dLseGfaJcpgVW1YYpEeNVZJJNwBZJtYWddG+VLHw7AJLRSviPTP8QZPmYtJVAyqFGJSvrZXmooRcvVcUBlG64dBQIBu0+TW+zzBlJlb80o4abLtiFaDNTd2WqwQfsM1gpSACtvGo0JQeo14kyppRGGdRNTmkyDb7qMWBwkg6Q3SMDG/oU+Yr3LSMIN3p5BjbZirITqJKl9UoYM/dhjURV81czypYhxSJPJfy6X1SkSTDVmkTn4Ard0eQh2ke3DCiEbbJemP+GTf4l7j94b6AjzieJoz7UcWnMnG7ROQKY078NISZhIMdIMlZTaVUKPPqiiTs15BK/CZWyn5pU0aDnFdc3FSI99I9ZlMPNxWSWx8wHuU4m15OjKwAClLBRwWXcwOFrGTmTPfWmKqRVWEq1dlJwVTicvN4lGMj37GsB60uN+jYBKiVsHpuaMLrUDd+JTOb1F7gTXQwrkYybHhmWQma6CWtZS2VrU+ZVXMun8B6bOj2fRGeqJhJ81qN6nuh1bXitzqQWCeeJ0mqbk2nvocv2x2Gnkumvsj2XeZLhvY5LVakSq/TKl0xa1nQtuhRtYvb3miLTikxr9o72aJREnxbj9XBy7qoKISjvQhVduprlGZOe9YgCrMM8mW7mKrnyqLjoLJi9L0G+AH+CXPS3EYmX8mYugl3aaLGYzofVF9vXYgGbsUck+Zqe8R79RUi111guMwo5kdcz9+hOBva1/bta1dYjeR9dsOIfO+cqB4wdx8/oTuGp5HH/ZHiU5m4I1yi0IWjTCI9TyHJ+CUSwymlCU5JhigEJCrJAzjv5y3nexq6FlIByHpjTl5bTzy7++bYgxXOVHqcge1nb9OnwiQzY9T3IUxBKMwDLzPn5KjIPDOjXBswOc3ailCHAAO2ukrwbcGlVWKt1alLSMWwIJReV6Nrm02atJV9skpAg7b15NZEqoN3AXQCjJ6vumBAlWNC18A4i6FfNMXB9fw+Afts212C4LUbhikxtkyWFteo0bVCIZ/ATkJXNaLi6GnD1dYdgg4l0HOp06IqNQXHX0UHVQD0KfMMba6X7nCNlk2ifSr0qZgqd2IsaD0LzaSZ28VFRTMADa/NneA6nVSdrDe2StNFh0U1DIsMA0WtdQdU0Gk4OhlHK2ylh0akEMlQwC479hx9ymyzz5gc79WHzEzi1YVafb87bHB9+hYr9wEP0vl7FwcunMLl7hmX6wcYhOgxxtODcWs4juPFcTz7oNu+VTxdz/YRhVZ4AnGciX3qCEnACnkcXL44eswnYZH0ze9qRFUACsJ1PZumWb/aYTCoEJz4BteeikLSX7mgxlxpvkeuoLLpGZV8n1m+R6vb5Dx0mUceWW9MVHFJZ4S+FYauTYTaiFtsLI7JXZgCrjJ1xUffZIfAcG816Wmi08abmEcJBCDV5BwVkhRMMtJ5iIuDe5MEJUZQyirpUGeXF6z4JiLFTb7CiMSTo08ZHbGm0nK1nhX6X9qyZxQTFpy9b0Z+JYwWbcjpIOEt9hibZmHFLDg6xEApfQGrdKijXio6FMFNiUqyHTUIXZc6h2SZ8AJvEiDuiXqtumgOKTI8KdANa9TKXQtjKRwCshPZqu1ZGfub7NiehX4elPXSoU6TFp/nK7RpsMuOXYCrRkGqDKJrtCxrRfsd6sioA4rVDyftzni2fY+vN9YNhBOax55TYUBQKuAVZqSnZ2TayJCFEpw+I058+c65TIT/yN/IjxZPKVTyPwG/4QFu+6bxqUzcAT7pzJxnP/cGM9Ic7T5HZvs+U3+VS4UxtXKXg/5lLvmnsA7nv5qXpN1EJPGawJtI8i7IRPZpUIRRRji5qVB+z8SsZOYCzfR9StsBJ0dlMv6Q7yv9GvtsE+LaxBPi4lcCiu6Q7kmVdGlGOpMMBi6WRiyq6LJGIKMf3CJikCRTaLpEhq3RM1NotKLzCdhhl9vcMEb/gWlWegwpWL41YI2pqvTs8AIdSwYCDTxjoAZ1LCwzsOfRgb1z452ixlXi4ifT27/CTSsyeYFdm7TDBaxasWOlxgX4xs51xB5blskhmLuHKjuVOaOSfk1uuuBco0WXmqVUBqyiHtu/xvfRpUrN7VpudYLBC5Vy0WEwx5hgIOctl/uWa64LhEJDY3JWTTknzV2usTvYYae8aw2olJuvsJQyexQDH5PjFW5Z6qLulrKmp6CMmiZ3DdMla6GslPnbe/UVckyoze7ghucM8muUT++TOYW3q1fwRyNWVGOTgXera1beX7vWNe/P4xfiPC2J23GcdWTuQNZxnM+TqMcvwwJe+QHxqUvcDd4CoO6KyMRjzks7/0yghEID1zWCjimcv5FPvEdeIrFiXY8hFQqkMXIghPnUo1AJGPV95rO0JNgwhZeZUc4PxG706jXmszSbz7YsX1cHdqltKUDKFe7yrJRmHnmU3b6txOp07H1bNEkRWdHFHtuoFapWu0qnU9WeVnHb7NsKFhQnHbPNHiEuAyq2gtSqXKtK3ZYrx7qIjBHTxKHXqrMXdZsOoGO9+pQZULHsCTW5Ui62YPeSgIpGrjo2sngVCqliU7FZHVislgBZxlznjqmkU2SZUKNHwSTEuhGRaJUu1569sBBWva6taNPM6EY10u7MNoQTLnnfcrnr5Y5dbEJE/DMhZ2ETmUDfta9Vlokk5bK8KqpmnOHRpmF2GFnzGggcss0ed80UHd05HBuYRxWxes3KpvEMxRESCGriyvnK0xPmmUt2RzDNy2ciFQEpOKuK1F3FRS4Rh+Z96FHj2Uf1BX2IeMoq7v85MuVrE1g01xsiXk0PFJ/CxN22W2KtVLRC81xJCgdfez6ZhNMnMZfKmISdilhbHzAMipwFlyEFbipiFBQhFVH0pP66N61S9FXkIewQ3wu4zh10AK16YAOWbdE+bVDOD4Qp4EaWPlanww1uW5c9kOSo8nGFIcZkjSWr8aZAFHzKaIBEJBMaeEXpfYuNQjVjGi1wfTV5a5NNK1q1UQXsfVQQdNeMSFMZfIe6vb5kuG/Ryt8luU3s+dSnJMeEPmWraGzTEGHMoE6t3IWF69dGKgg0dpsb1uc8wCdFxBb7eMy4S9NWzNIQbFvcOEXEcFYkMrM99b0FqfJUmdo52aBRalvMfoiYd92laRJ/lm32rXKyauh0E7Js0OEZ2lTpGax+w+xYxA9cpfn6mdX3ImCVOR4ytHliREHyGitTpU3D2vEmPQl5LbVo2Dp5Wz5/p+fkTk9wpnBUL4n6dG2I750wzBfoUbU4e5XeBfOvxxlPk8lUHMc/C/ys4zj/ehzHf+dhz/OpS9yLw10B7tK0rAitjkrbR5y8sZ5wujOQ2bzPtL8KBytQWGHupyn6Q+6vp2Hq4ZcD7n3tGQrNe2QZ041qEGRgHQZmEjhwoZobGLWfeGfPEwVkXqqu26c3GAVF1q92qJkvtUaZgeVAq4JS5efqPKfYqv5fm1laGbtGeafOcpCIOEJcOnzWVptl+hY3V18OmdU4s0ZP+uXpUWWfLa5zx+LlvsGpIW0XDW3wJa9H5QJO36Bt+dLqkqfV+dhUsBUGTMo5K1wB7Li2RXqhVrLqG36bG/Z6VfYuO5E922ycGD560RsSei5H79aJfJdZ3rPvZcWMb7s3qnKYqjPMF61oRjnWSplMFKNiHavThIZm0coyoUKfuXmN1AQrIkWfMhUDk4zJ8WW+YPF1XfDL5lilcC76iCsF0efYNki1aJlnBLOeAzMvTe50SvnkhN2SNFnHeYGEFueY6qKuu7HHHU9bcxL4bxzH+f184yCFv/wgB3/LZ+s4zr/2AMdP4zj+7x7kgZ6U8JizxR4Tg+c+YxpdAO3TBqOjCqXNLlSmXEpF4oHdR5I2GLn7GenMnPk0Da0M+HDv3Sor6+8BsN8VZSJTuH9QhU2YT9NW+aiVfjLXfG4rQcDAACmu5+/QzdfQySlQIYXMjcwyZpt9O3xAkvOxdeRTxWLafPEl0Yo5kmKzWpXlmFiwJsfEOuDpdlu+pCkLm2hyaJnpLNqg1AUxzdxKvoUBIa95m2cs1qp4b8U03zSZSGOsb3cZi3RBHfwQGIpb77TKPJ+2r58mMa3ilQuuOxphZJQvDJDIMuZ1rlNgyHWDJ+vABLELOLSQ1qSS46Tv28XU55gZHk1a1K52bTNwcYK8XpN6iKuy8TY37PumFrBqJaBCnZrxRJckHlpYq8ldegsThhTSGlChyV1UBq9N3D222WHXVuP62VfGUeD5FlYrn97HM7wGXZhzTNhji9eNn4w2eGXXNbNQ1uOKcy5Zxe5TFL+I8HNeYcHW9UHj2y1Tf8Oc/NvNEvtNwFOVuBUb1aaefum71Ehn5qxv3ZUpI+sR41GWyk6H/nqZ6dEal/xTzjMul1IRw6AoRlHrxq51miHajJhNPdLGpnW+KRDKfJpmI2/w1JnPnrfF6LRINi/1bJm+rciUCbEbXbPYtlZGilGOkCkzczxbIVYMnWzRyCkySQRgyygXFfuek6ZjIALx265Z7q+yP0KDjxcZmaRzbFkQiiNL1Zo2zUqfRdOjgdnSR2YhqBjPDbVb1eG/N7jNy3w3AzObUqGsNg3bBE1ENhI5xripiIN3G5QqAb4n1XEWMXu6w3V0sozK14ViJ9cvE2dEBKNjwXZ5wUJKwkJJ2x1LgE/RGxL5AplUjJWVvj/qWa6DE/S1aHcbNGoilprjscsOkwWFpi4yWmG/zC0LcSldUcU7+2xTo2sf99gkdJ2GNDevlUtI3XyedAFX068JOTOmbmx7FMoAyjLGm4FzCnFePGC04at2uTqJXif6qN/5446nBSpZiM04jn/oYQ/+don7l+M4/je/3cGO4/zcwz7w4wqZtj2hwwbH+EbtJ2nqhnubCVn6VCi7fcol2YJFYYrM+n2iMMX5UZ7zAzh/MeZs6ljTqcLmPbL5CcOTAn7J+E6XXPuF9ZjTntU4OSqTftawI7pl7o0aBJs+N71XbSNxRpqa27VYpsi2R/gc06DNIXX6lC3uqR9atfZMIx7MWnnV6Jp6esaQuq3YBpTZZQeQalST/zE+I8Q2Val1Wrl6C/huk5bF6rUal98lETVpLTQzs+yxbRcVfVypTPf4LLdxiSxrQ8emvcrnbZLXgQjaGCx6Q6gIJ1qWKGmUKs1RMWKFezqzOid9n89cvWNq1bH1HZkZqqAyNhZl84p990/KzKce1VrX0iQ1lLcNmF3MmM6szvkox7iWs9UxQDtqkHNFAakTi2RRTdvXUHZGOQuPaeM1axSO2lvQ5xnhSvFhBEx63cqp1wa2UijVmEur/SpdiidTxvlLRCWX0HVtkaOLoGeglwFlGrxj4Zcyfd6L0lx2P3CW48cSj9qrxHGc/xj4YaAXx/FL5rY14G8j0EYL+FEjXX/Y+DXHcW7EcfxQstNv+WzjOP4DH3Twg9znSQthG8hWWyd96xddG5d9Knbr3j+Ramf66pqwS1JYLxL5/xmEKUaBqaALE1YNRnx4WicIfeqlQzpRnZPWOmSE713Ni4/JST9vr0sc9AZWmp7wbqVK1O23mkdptSeVlLAhdDs9omhtUt8xqknlJqshU5+KtSQtG5tTTVyKvQ4oc4zPKuJ9oV7RM9LsscUqgR0ioAZNi45+IsjpWcGQVodqGKXw0BZ7QKLk7FG116vXE5EyDdJnbJWc9cYWohkbReeEnPVNUXaMS4SbisgUxpbdoSwWZWHotHoVJR3jW58UgEppYBdjfc8U4+0hVqeeOXeaOWlvznNbdygypEuVo7cblExTO1eTalql/00j6tFdxdAsnMrXD3G5xSuW954z/RBNzqoIrZlEnTbgV42ehbsk8QpTRxeSMgPxYYkiJoUVQle+Fwqj9U3jU/sS2n/oUbOL8oAKkety+VF+UT9EfAyskv8U+H8B/9nCbT8B/Eocxz/lOM5PmN///Ic9seM4txGxZwr4w47jfB2BShwgjuP4sw9yng9cphzHcYHfxTeC6P/+tzrmSY3/G38S31Qd4lh3226D1bZTvR6s611pJLxco5TkFhdetUuZOW5qYilgY1e2jYendVFBpiLmpTT337gKB3Dp5pzhSQFKknTG6+9R9gYoh1pnHyrjQreyig0fGkxbRRWKMyosoHDKHI+eaT6WDVVNdxMKpyiFDaSiSzM36sM5W+zbpCTTbRKlpJpY6f91ioyyP2SqTtX6kij+3qFusPbINiarBleemCbpIXU70SY01b5WtgrVzGfS5HRTkaV1atw+vYGfDywvvm76AUWGNNw2d0rXhdliWCApInyOk+RO4pNyaD4PuqgJFe7YMDnKFp7Q63WpWQvXMn3bI9AEyrPiJZ6tSSW/SPvTRKwceRH6jC0OrjuOHGM7kEJ2c8pgObSDhNUgTOdw1unY+2nzt8iQvlnUBlSYux61qMvq/SmpUkTbbdiGri4w6tC4aNmri8KQ4oONbvmY4lEm7jiO/4njOM333fx7EC9QgJ8FvsRDJG6kkv/I8SD7i7+H6ANvA+eP4kEfV2yzR5eacbdbZU7amuPrcFd1rvM5tkb+bjnk6GYa1jNc2jzlfC8vSdyH82ke/6V3kwbRrIybEqz7UkYSTqdbt+PRzqdpUoUxw5MCxdKIoj+0Y6ia3LVfDvlSCINCt/NaNXtGtKEiEq1W5YspwMBXuImHjBAThoEkD5WW69ZeVZYih4/M13Biv+iaeOfmPtof0CbcLjt2pwBS6XvMrWBnZhqCitEr/VDN/tW9T61jITGEGlIwTB/x+lCOdcNr2+c7I32BRqgzOwGLTyuBz2ga2T/dYhoUmZc8PHRSuyxgei6BnOammpaqO2uqS2XoqHJUr1el8jpxXhu+CmdNZjkq3gAd5At9dHCEeo9rg7LI0ErYdQqQzgrNkvDAq3QNnr5qVZW6WAmGL4M31PtFrQrUJTIZIjEmdF2c8IzL3TOy9YSpIlV7lmu0UCOslMHNZUBGgu0/jngIOmDFcZyXF37/YhzHX/yAY2pxHB8CxHF86DhO9QPu/00jjuO3wUIv74/hN7ntm8aDJO7NBy3fn/TQzr7QsEIwjRtVA3apGl60QFehwRtr9CheHfJWeJ3zUS7xNQlhZfM9aVSWBUuOPElMbioUPxQNHyhIhR6GLn4pEC8NVxJxQA4f2cbf4bqt9MYEScKibSsgZQEohi6c4ondlisPelEMo89xQs4sXg3r7Zzwc2VQQxaRhB/jc2zoeIpdK09aPE4+Q4fP8nm+YgcGa7WeQCIVg4fKAqnmR2JWFZIz91czKeFgZxkYA6syAzrU+frbL5B6tmU9qBtmQdGq1SWi7A0sdKNT59OGkldhQJsGo77PpczcMlDU4wTgy3yP9X1RW9w0c4LIJ5j6hKFLujSzCVXeWmkgqv8LpE2Ts2dfb485vhcYiC7LDrukmVsrV1GDhnbnI1i3ZxMvyMzLCFeqd7CqTO0xHOPToM138zJf4J9a+qQ+N/ViUX69eLlINd+nzNbJ25x58Gr1JQuH5UxXKGXw7LnB3rW4kGZzzpqKPY54CIy7H8fxrQ++28ca/xwxzD1GYBIfOHQcpwf80TiOX/l2Bz/Is/1lx3F+RxzH//CjXunjDq2KtYLSDyxwAW/NMWH35AWmQZFCJSCXl4YQoxV7rkvbp7ipiFq5S5WuxTbV/7hW6tIt6RbaNN3M/UGqN61wpYkmsEZkElefMjWDZacMhnqXa2yzR5UuAyoEyAgxrZZV2KFNpA4btvIVj23BOXUqu2LQuhAIAyTFxAh4avQs26NMnzp9C5f4BBRMFT2kyC47qOWo8snH5Iw4ZLzw2o7t4tOhzogie2xRMckZpLknI8869rgiQ648e2hFH8ISkV2Ebvk9ZlbBqU1drYSVuTOgAqMVzlMRd0+a1Eo9uidVtktivNQ52aBSEtLgM6ZfMCYnEFgG3FB6F4eAn0948mnm1l1Q+gdl+zkCKJZGDLpl/EpA2p2jHt3KsVbFqOLGfZPItamokJneR0VT2n/QHU/OjD+TRvLMJnZNtLoIyPC6MnUOE8illLG7hLGBW5q07OALYfhUbXWrnwWlrz7O+ASUk13HcTZMtb0BH1nj//eBX4jj+B8AOI7zO5BxLT8P/L+BL3y7gx/k1f514Bccx7kEnJGA6I+rF/HQIdVzl5aZ8NKiycBsUbvU2J9tk/aEylYsJdzUzskG10otgnVfxp2NMpRrA0vZ0i9EnzLBiU+qJF+Wikl0PgHFmk6IkSpNx4Wpd0eHuuV4hwtVlUAEvqXrAXaKiqWpIX7Ysn0XLm96oRE1NH6yE3Js0LEGROrkp5UTYBkoIS5ZA2Oo6q5gvvza0HuVzxthSN/CATnGVoLuEtKiSZUeQwq0uGbPrY01dbsDWTwXPUQWt/bafGzNmgA0vZZ9fzRJVekxx6NtKntt1LWjBml3hky8T7Oy/h5nQZFpkOHt1hpUpnRLQg2cHq1xMMrhXo0s3149P4qu2T0Yx0DF0ffYos6hFRp1qdEzDCLCFJnKMR4zmrUWFaOiXTQJcwkNDj9i0S5WIbGZ2TOkDWauMvg6HStzv84dK1j6qhUfTaywyGNm3xftJWjoIiefpdEFqEl1APr5yRooTn3SlV6oVf3jiE9I8v5LyGT2nzI/f/Ejnu9WHMf/a/0ljuN/6DjOvxvH8Z9yHOcDvXIfJHH/FeBfBm7HcRx/hAt9IkJxP8vdZmbc63Y4OSqzttmjN61KdVzqMYyKjI7KjEsCf5wFl6XyIrQfFmlSeQwGFc76l5mVRrbhpDajPgFl+rRpcHha54X8rlCwzEQYwTazKIdY/98zDS8NqcyEwaCJpWqSvOKVGjq5RgckpJkzQuTkqpBUFopyr9W4SirvnKGBCRd7ZJqA2hz1jDhDudpqjuSbClAfU3ncO+xaBohgyat20TykbqbgTCxnWJucIAni8LROOjOn6CZVqcIkIAtZljGDSBaCmZvmGi1y7phWdI1td48KA3phTTxm+gidkwz3pg1jZxCzti4JeUyWdtSwA5wjXHw3sFWxvk4q8Dk2uHaAzzBIGqbzqQclaa4uuvVpNazNyyrdBS/0RFSk7HUtEIR9IglYIbRFqf/cJGadXj8mS5sG2+zb+1XpMSFLhw0AGrxjmpoVC7vV6LHPlmXwqDmZinLGZO3OUVlYjyMedeJ2HOdvIY3IiuM4B8C/gyTsn3cc548A7yBjxz5K3Hcc588D/4X5/d8Ajg0Z5AN7iQ+SuN8CXvtOSNqAadKJ/zRgtujGSW/TJe3O8PMB7UEDNyUinCtXe4J9lwKO+qsQOnjMmeGxQYcRIll2yxGdcp3hSQEvM2fsyXZW7pu2TbvxKMckn6NHzVbgNbq28ai/ZxmTpoKIVwaEuLzOdcvqSDOzsnJJmFKR55gYOChtK3fANq4g8c4WvHiC+E8nzdCJYWIopVAbimnm3DXmVlp9q/R5jy0iUmwZv2edtv4CuxQZmTQrTIV9ti9AOTowQCGEwCYLz1acYehScBNoAbALiNIYZ6SZT4VxMggqjDJFtvL7pN05d7kmu4yaeH+cT/NJ8g4dLhXm+JUeDVfYHe2TBtNRDtYh5wqkJW54xxYDHlJk1Tx/Va2OycmAjNEKHMH5dprhrEjWSyx81V5VvWXSRnS0seAJrouyvmZ3uG4fU21gX2DXNC3nVOkaJkzWUCk9i39fM8OiI1y22KM263Hbu2H7PgGrDCjbBqy+r4WFfpnutAIDzcltKbt7eJzxKAU4cRz/vm/xp9/6yB4Efj+yIPxdBMX4VXObC/zoBx38IIn7EPiS4zi/zII082mkA0qCSRkGR8tKgpXO1XTv2kqiWb7LiCJ3S7K9V7ZBaitC/ah1NJdWG5rAJqmsNCY9UNWeVmV9KpRrsv3XintC1k4v0epJZfmAdQDsGnxRG3arhnetntuCvGIFKipA0SHB6i+h19Jd8LEeUiDAtxxohQjUqF+gGPmaa5U+MZxepVeuEpBlQo8qLZq2Kk0RMSFrJuCMucN1yzSZG/aIPu/XuU6djuFy1xjOisymaaajHOtXO5bpE5qqUPF89Vyp06GYf4UWTU5eXudsPWa+1SaIfO4fVLkXNqTaBqF4GlteMuBXApquEa/MikxHOS4Z5evrwXUupSIatTZtnsEl5PV3r1PwhwT5Vep0LN1ucpqFl1cSo+rRCidHZcaFHPVyhzmSaI7erfOZq3csnqzmUNKgnNmErQ1UgIBVyzzRfo26BeoYuJFJ7Nq3cHEtB1v7GEOvaKtlSKrpLlXDK8qZdztrKZNKD1W/9AEV+1lSqO1xxNM0LFgjjuM+8Me/xZ/3Puj4B3m2d82/tPn31IZ6dgCWRjXDM4KCKmnm1k1Ptn+JXzJgJsdMrEhDfY2zBhJRMcteuEWlNDD4pGcbkFqtDaIKXbdG3Qha1JlOG0W69VTsWkUkDdoWrmjSspO+VeEHoMIWkN2FskBky+3Z8zdp2USjdEPF2mWREEhJsXBhTEiFKy50c/bYsli1cnoTap8mBM8OZ/gqN9jhTVSG7pvr3qBjMd3v4cu8yufZYp82DXwvAA/GJWFBBPiMoxxpd8Zb7+6wkpnz+fJXbCV6lyYec95+t4kWga/vf16StX8GLSfxU9d5oykgE1Nzu7ZCdVMRpUrAbJomm5/g5wMLyUxOs+IEOfWYTecipqJMcOqLS+RrV0T1ACLaMhPUcoWxxY93BzswyqCWAx3qCD0z+Qy0aFKmzzHJoGPfLNoqaKobyEyLD6XlqSe6cuB7pmGq1biKjZTJogKqgWlaB6avAhhYSoVMwsrS5rhea/Uj9+oePmIc+x190sNxnL8ax/G/7TjO30OEOBcijuPf/SDn+cDEHcfxX3qI6/vI4TjODwE/jWwdfiaO45/6qOdUxob6QohgYZ89tiyrRJthKgDRSlh9mwGbyNLIZG/1jtZKtF46xMqzu2XcWmi9n11CcLFJRjHoxaG7OuxAGS8RLsdmkckaFZtOdRcsXKpcVX5qEq3RZY7HPls2mSqnV0UigOW1TwyzWoUuqijU10ZfH/ENmdnhDPq8tJpXxoPafx4j/idKW1RptyatQ+pMTCWt6K+IiWaWYqgV3wyP+29c5T5XIQXF9YHlt+vA3ACfUiWACtIgbK1w6cVToXJuIqqEEZLY1+VnYV1ei7Gh3EWha/xoIianWYp5SZyt0yazqcdKZs5ZkLHHAIwOrmBeUjIv3ieVihgdXCGzLv/PemP72Tubpils3rM7HpWXa4N6SAEVXgWs0uQudTNXVL3Qm4ZXrdNvtEGcNcWFa14LtZ6V97JiPlMpy80emwaj8rG1OdqiaXdQY3LssGthER10rFBLkSE/x+/lD/BffdSv6YeOp8nWFfjPzc//50c5yYMoJ28BfxF4lovKyY+N220A+v8Q+O2I1OWfOY7zS3Ec3/ko59XpJsJ1rlnr0LTBnjWxKcNDG22KQwN2esoe2wwos4VMANcJ6woBjMkynBXtaDLANhN1AnrVJOhFBVzZnAewjTfFcxVy0C2r8rt1PuIx4nmt1ZcmAv1QyzWu2ipNp5ArnxmgwNA0TJMpKira0QZkxdDFWjRtk1S/7KoABYWJshZL112K2J0KC0QrTU3kuvPRhWPQLZMrjEnlpcF77+0N+3pe8k9x3YhxlKPhtmnNmlQ9oWdmvTFvvX1dhl00z0hnZkSpiLNRFlorloev/8LQtbuiwaBCo9wGH4ZBkdnUoxNuUCtJVellZoz2rkAqqaLbJw14GWuJMN1bI7N9H1Ix86nH1LhDKnzkXtXm7pjdaIeaK/4nQwq8yQt8hjukiNhHnCZHpmGpE9xDXD7LbfbYtp8hUaZ6tgGpr6fi5FqQ6C5o0ZseZGCFUg8XzcLUAiBtWCb6vdk2RY/2SRaHM3+S8TRBJcrPjuP4HzuOkwWeieN498Oe50Ge7d8E/iyfrHLye4C9OI6/DuA4zn+BSE4/UuKWxDlB1X+K4/ocUzDJxTe4ro7aum6+QKoUTBzxBIp4kx1EBjyxFc8Yn8GgQrncp+INbFJUE6cb3LZVS9ZsVTWZSWWfs5WYjunS69dRXtrgU1GOJmmFXhSLBExzU6buVAyfWRNsARGSCFafpbDw8/3ca6nie/b86s2hC0liI+vahpf6Ueu5tMrWUCOlxYbkIi+8WWsxmJUZR7K8EKYoNO/J65E3/HNX4Ictb8+62Q0pwtGKiKRenBCFKfFP71+GF8+kcThCcGh/il8K6A5qlMt93FQojc5pmvNRjvPMjLMwy7g0ws8HjKMche17FPJDBoMKg1SF6d6aLAYL3yi57cz+LjsVFQP1Lcc87c4M2yS0r+fIFA2K/avZlFJIVWYO4tTY4prtYaiYRz6jApXoLq3MwKplVbxUYGjZS5EpDEAKHW2+aoPYqomRXs82+9zmBjOzYDyu+ATogI80HMf5XyBVdxq45jjOTeAvPzKoBLgXx/EvPfwlPlRcBYM7SBzwPkK64zg/Dvw4wDPPPPNAJ9WtusIRum1fpDKpQGFRKKKJUStJOSZrGos5k+xy9tgIl1xhzDzySBsWRJaxvZ8mtx3etEldv2BalY7N0qLTXjQJy4ixCTPL682iY7GKjOgZSf8cj5TBspUtcJ07FsPNIWPKFMdW7oYuQi2uIS5wMpmlSYtddiz3WGiCM8s2yRofb/VSUTxUG149s8ORyS8Cf9ylaYUdIBTLmakS9fV3iRgGRYE5gNJml6qX0OaGUZHIlYbpbrTD/aMypUrASd+XanoEZ0GRTOWY+0dl1rbfFQjEH5IrTAj6PrnCmF63Rr0mWPsgrDA8KQijJBVC6HIpM+fefoNM5ZhGqc1qPpD3wze7sQA7dMMOj+6vwNEK56zAFA5SDcpXE2aNMK2z7PAmQwoUGVrLA92tKB9ePyO6iPeoXVikVaGpzUoxKEvc/ECcBTXUy10VoGpcpoIiQbv7FkZRD5wOdbbYQ5W06q3TpsHLPB4x4lM2ukzj/4wUqF8CiOP41W/ij/It40ES97/jOM7PAL/CRVbJf/1hrvJDxjfzAL8A5BtvgS8C3Lp164Goij4BudmYoVekdv8EgO5aCZ+AOodMTONmYkQOapRUpUeFvqVYLRr/KBVNlXLXjMub60W8vb9DfatjG3gBvt3SNWnR5C4pIrtdTRuRxIw0q6bK0i8mSHUquGZo2R/6s2/4uFqlKbShtwk0IlXZtpGYa+N0h107r7JHDRXuKMddR41pY61F0/qjiPFSDx3OoA2xLlUCRNWXQs2IciZJSCJS+GRE0Sg5C7a5pnLuAJ+iP+RkmuZSRhz39DWc4QkWHRbpeHXuvya496yQZm19wP1pHUJH/gFXrvbwOeb+tIx/NZBRcpVAFoZQzX1l0S16Q8KS7NDag4aBR/LkmhMm5Cz7aDzKylDodewgjbOjy1LRZ0johhl5fJBdlLJEttijQdsuRApRCM1RKlrdlSgcolBekSFlk+ilyZwUIBNTfWtBoL0QZSCtErDNnoXitFGpn339zKlzpLpC6md3TJZXuWn7OrvsPNbk+RQm7jCO4xPH+XbjDr51PEji/sPAi8AKCVQSAx9n4j6AC2qSTVjYXz9kuISkp+eUpyc4PZg2YL13wjonVKtd3mQHnQyicxOHFNGJLYs4mo7iKjNklxfwjKClSo/QwBhXttrGmc1DJ834BAYvTBKQskpc0+TSxKC+0OpiqLh2hYFlCWiSVdMj5TIvCm90sckhk8uVLqhfyL5pWHXYsLCGutQpB/3X+D6L0c9I01tgnSwmBa3EWlyzbAR1vlNqW+ItEqKjxFQIol4dKtRpzxqMRzkypkJu8A5vnu4w6vsUKgFuKuKktc5JsC6JcirTiqaBwAiX/FPKtQH33t5gGhS5N3oGAhikypRrA6LI5ey1y9KovCo7mqonTd0sMhS5URY6IRXw3cDCFB4ziqUR86nHeSqS86xjKYaXNk85L6QFsgGjpBXQLYHr5P3TqjfN3CTdYwvtAehEHu2HSFU+sz0Pfc1cIgOFqOmVeLaoKVWOCYfUyTGxuzldMFRpKvYLyXnVy0Y/Z3e4bvsBX+UG2rgf83hEOE9Zc1LjNTO6zHUc53ngfw/82oMe/CCJ+3NxHN942Kt7yPhnwPOO41wD3gX+lwg5/SNFRIqgVGBOmqv375O5C3hACVbvT7mRv03ba9jGpVaYX+UGd7huYQOdKdg3W0vFrAdUaNG0zICaGQhbMUSrJq0LX1jdLqufco0ue2zbhF1kyLFpMoE2Cqu2WZoyiVzl3XU6fIXP0+KaqbpF6t6kRZl+Ai+YRpfCLIDZGiunO5nULiS9tL0G/YKPyS14ZntUDYOlbKbc6GxDlYGXGbDPln3dgshnx921joNaufVMI1TeL5k6I0OZi0wP1rifuipOi1MYvShmUUyRZDlFqtuKA6kVcWOs5JkUxtKk/FVH7lOBc/IMMzNSqQg2Yxg5HL3d4FJmTrk2YHKalUXhqMxzz75J0R3i7rzDnDRHu8+RWb9PrjARu15/SsEfMqoY4ra5lvMgT+bWfabTNQjldc0icvF5JIl17LbJmUav0jRB6HwtrnGdO4YdlP6G3YuqW12iC+ImVQTr+6XMElXLauWuyX/x/faRYdaLVXffLPRFsHRU/UyovWuVLn+O/+CjfkUfKp6m5uRC/HGE9DED/hbwD4D/y4Me/EBeJY7jXP+ojI4PE3Ech47j/O+QJ+MC/3Ecx1/7qOcVxzkZj0UKSdozOPNg5T3In54zbBQvJGOVkaucet94NGg1ojzWEUWatNCxXIm5kUw5ke3xBioRV061VlBl42viMbPn1MntihkDZmRZmhBR2WmF6xPYUVb6Ia5zaBNtmjn7bFmes1a9SmXTSl1HUSn3HKQa3GaPRbfBxeM8wwJJG7qZCkoO3m6C4UPf8G4bx0EzaNcd0qfMNVqmwqsSkcLnmLTpO6ikvFwbkKuJWOreu1VIZaS6DlOcj1KSyCtI1ayCmhBL+xPOtSPV8BRbFU/31lj/7q/jbkZW1VhkyOGpwBhFb0j22bFtSOuM0G7lPaZ7a0wLCLbdzzBKyexRWshnayT/pr40KEvrAw7ebnKQarCSmbNT3rXvf5q5fV0U11fuftfg/eq+V2TIXUMS9wz+rffViEhEWvqe6Q5Gm+Jq06vJW+6Xte9t2nwOiwzNNHqhaipfWwdsa8/jcSfOpw0qieN4jCTuv/gwxz/Iq/39wI85jnOXh5jU8LBhhhA/0nmWSksbUqRYHeKG57TzmwCUS31yp1OqdBmZLaeyLnZ407I2NHFJ421sGRFlBsZjOZFhix2qjCPTbbcmWp1yXjXS9ogaQ8PT1qooxLVSZT1vgzZfNn1a5U/rBPgyfct8UWhEv3gqmFDWheKVui2+Rgv1GIGiZbrozkFFIDouDVjw1Zihfi3K0fYJ6BZkwIQuRCki+xppMtLH95jTp0jvtEohP7QwVUSKKHJxXan+nr+6y1v9z2Hn02Zm0MxQah6JwjK1yqXCmPPQJVMYy5Bnw7dmOxa8uzCl8NKQ2dRjdFrEz8uibBkzxkRKr7sT1Um7M3stZ6OsSdgIiAdyPYUzYMVi2hSAlFj5+l7AyWidlfUJO+Vd+xkYULE7pgCfPbZs01qpqGPTfAa4w3X7HiiTR71INGakje/8BA+xRUgq5LTpY4wtJXBgqn2FcFRIlWNiq24VOOlQDd0Z6Gfq8du6Pl2J23GcF4A/wzcOqPktD3L8gyTuhx5o+aRF8WRKLjUlmx8TeD5dr2Z5q82TA1beg0pqIENhTYKdGwaKS8QrfPcFPFGxTsV+VW2mX3g1TZog7m0qqKnStRh1gMxm1GS7WDmpsOHQNKMgmZoinN+ilT+r8c/7qXYqulBxRZkBPap2eytTbzYu0MT0S6ye2/qlVAhHcdgCMg1FEsKcOp0LW+9cQZghiqHqNlyaoFUL2ShjociQ3qjGqO+TerbF6LTI6OUrkIGg6bNT2yXLmEvrpwCkMzOmRwaGMJj25taeyMnfbsjfkKbh2SjLSmFCFLo0am2BdPIV3n57i1FQJFMYQ0mSdd3r0JnV6UY1cu6YtCuV9jDyGI+y8MaKJO5tJEkfAClY2Z5wVjHWv7oLCKD4onwe8KecBUUoY2h7FVsQLMrTF6EsES6l7WctoXrKrkmbwkOSIdA6+EJFWcrQUZ/0DnWO8U2DVRYFbXbqLFN1jVTcO0L8cVRspqIubdAvzt/8pOMpxbj/S+A/An4G+NBTKB5EOfn2Q1zUExkrp9JhzfSmnK1NoQSq1huWMqzNpoAk+ElhBVz5Iut9Zni8wC5zPPbY4hotS40bk+MH+f9xm8/aqlKl4YD5UnlGuSnTSrTxp9J7Pdci5tulilgSeVToW2xSv1D7bDGkyBb7Fyh0umNQv5KRJlNDSxSF4apVbepxOmnH55g6h5YzrBzdrFmgJoYhEtlaOmKPbdQDekyOk6MyUcVl1LrC+nd93d4uTdOK3RHcnt2g6A1JA0V/yHiUIzj1GR1VBNoIBC9+/f/f3r9HyZVn9Z3o56cTGe9QnlSEIjJDSlWolFUSotSooaD7GmxsYIyXzaU92F4wY1/3tT0Lg3ndO4ON222PX8MaMMt4uBfPXHphbK8xDDAYDLZnzGsMA3i6oZoWqFolVWW2oiqzQhmhCOlkRWS8Mk6e+8f+7d85WVRVq7qlTGUp9lq5MjOeJx5n//bvu7/7+y1+MSfWdvErASXP4rOLAdMww71mHVIzC19NCHyfcJYik51QLPQJUj4Ae+O0rTYTFNKZRyY7dbzzPiWGg7xI+C7jngtK5Isjxjp9OQaWI4FhgL2mKEcyQBJ6AFRgMk7TGq/AOANbhv6F+LNIJts8Q9f4U5hCDJkz9v264Xj8msCntsmr0IcaNGvyB9wwziarPMstxyBRaWHdrb3MRUJSTjJWvn81VnmNwPKctEBRZooMtfkc5cC5jLx/ViXUxy1mURT9T5/rnd82cRtjfjeKoi9+pzs/yG0eq9iFqAzmDVi4A2d27/F6XZL3HepMqzIOn8sM7aZ/6uhtIR7v51PcpuG2kWnElGCdNdq2itXGpQ7jlBigErAhHi/zrDsZlRanOuGA05DQqrpmTRCUJjayOKS6s2ilKqI/ZcebrtFxTShVmetQ5T6+M/3VaU9VuhOdkq7D6evcQYdCFIut0KPJebeQZVCTXkkevUmZ4SBPJjtxxriMIdjxyS/KdF2HGjM8Wjsr5Isj0pmpw2I9O92493Er924t4lSwaX+7wL1xmqGfo7Io2jGjWcxm2OytUi+3nEGCX5BXmFoM2dpY41RDbL3C0FZoY6mQd7ZqMDPcTa2y4PfJZCfki0P6QYmw6Dm7tLLXpb9cEnnfFxG8/BJwDUnY2/aY13BJfNw8BUWBaYrPy/CQcty14lbtmHavxqQcT54mP/cWK6yyyR27eCenJbVHoWwXXWhv03DUUlloU05HXpO/sohmdjeniTljv/8QD4/pDiqP584DnU04qjhOUEnCsuzfGmP+GvBzHKRZ33uQx3mnivsLjDG//07HACw+yJM8NtECU0CqoR3gVOziUaXD6c0By+zwRn2Bk709lmc73K0LM0MhAh2Q0IpJhxCSVDnlUetv0ZvIuS2xVDGbDg/O2UWgSYN4Km2CjqXXabntaNE2NgEridp2/yt7A0B1wLXyniF6J51JjUqm5+AawNXMCv+oRKgklSVL16u7RHOZG7RYIWDJKcw5LZRxWhLvIAepkBOpELIQzlKuknTwyjhDOEvhlwMHLwX4kkwDBCOuIJVtETi7B6kQBlnG3SWCVEiuMBLmSVGgkkzWDgVN0qRSoePYZ5iSrYjsbZ8SQddnf7sg34sucFawbwZZ9sZpZzuXLw5JZ6wB8zjN5myVvfWTcBPBt2cxUwWQZK0TlJfGcC0rj+/PIBuyWth0qpQ6mh7j+R7lcpdpmCHwfAt/CYdEOft5Rs7lR/VgtMdw3ipeyjRw4HotyjZRVx1QHLzqOOGAZYjLwqb4ulA4hQF1kVvOFm9IjhtcdjDiUcdxSdzAJxE6tRK4/3riuggezHP5nRL3pQe4/9F/Yu8mbgO7QBlZ43YgXx5SHuywILMT7FZP4M1C3igvcPIzMq6cTKKK9za47bDZBk3XuNQKNjmirKHDEjmG1Gk5edARea5zxX35LrAuAlWUHUwjjcwOde64RlPbNqkUF1dlQJ2US8qCSiNrhJcKub57hXKh7ppReqIr42SNDYeNqrt80cIzK3YLrZin8o8Vj58spumMM6zWNmnvVKktdnh1cJG9oESpvClTlO2aax5Ox+Larv2GcOZxwt9lP1WIG5BFJPmlFhCwC6jAYLtC7sImMzz2Z56wO/w0g+ZpsmdF2Onupy0kkoKFyhvcW7cCVZZ9snD2DfayJy3F0DJDyLKfEorgwBdt786symScYW/L3taXx+TjxMJVTXu5jx2+ycoC1ED0UZYXuG9ZGEnzg6tcI8PENRjVuV4mZAWEUGZIrMU+ddV6mZ6TH1DYTQe1tLJuUXfqf6IqKTs+KRZyrrEsn7uYWeQYUabrvm/6nW5Tpc4dl9xlb3p0YMlxwrijKDr/MB7nbRP3ewnbdmELLF5DXnkVTrb24DNIMk9BYWefKAVmvM/uuRPuS62VS48yeQJmlo0NUr2o1oZWldoE0oZSUolNqVQVqwUBuOdRZocO26yyyQ0uu6pGk7JaWOkx6PZY3dKVSqbb2Cod1rkgFl4Dn9XCpqvItQGpi496Derj6kSjYtsgi8sF1ulQo0nD7TBa1Cn5gglXFmXhIDWDmwt0lquUCz38SsC99TOMB1lO+Lvx6w9lEnJ/uyCJbx1baSPJEiThXh1zIhWy/2KBu6kVGC9wwt/Ff+517r1wBoqQyU7Zubks97FCUnvjk7IYNO3Pn4a97knHCyewPwDPGdcE7Qcl9rv2y7NOLNWq1EOlBabscVqhKSrE1MQmkIXRJE+YkdNOB7J87iMCY/FuTrnboa20dXI1sKM5SmtVudekRrfa4Sle36N8YL5AKYB3rJJkwBJrrB+YwhwiUg66gKhaoE7binJj2TXxj7LqPqY87s8rnqxX++ci+MfGTdiRIf67hsAnPTBV+buwu08hdZfd+gk2M6uJxlvugGmrNpj0hFNXcoVTphbD1mpddY7V6VslOZXLCzherTBAZm7EXLngI8u1BmjvVGEx5tRK81L4tppsBaO/xpA8nVrVLUI5e1IClknSddh1EuNXWEinNVWSVtUHRddCzBK8jB3f3vVZKbQ4/dQd7m6fYzbzaO9URQNkhgzIjKVSm4by2ifjTFy9Duxnc82+KdtYeMIjXRwyDgoOo95fL3DvZkHu90GLWWti1UQaIBCHVvJN+1vFpvT5LOyRLw4pFvps/57dvar4nSboAMGy14kXhBRSYavW94AY9ilCORMPOW2SokzXQlAprvF++pTotGv0ayUno6rJVvsmmqR0EVc2z4i8HYCquDmBGh23M2qxQg1xcxpQspCXcNbV8iw5vKMNbJVVUD37FiuOPaWuSAq3HFUcI6jkocSTlbgB3iA+kXUI5xlkoP4FBLW31TebQB0mGRG0VOqTVsVtau6LX6VNjTZXuA6Inofi3jq1qBSvTc6hAk3qqagLgmqXiKCPJOmkEJO6zICwVnKMuL54xZ04ijnqYlJGHL/1i61qcKpGqBK3CpeAJPtP8X587jvvSMBNViYXLt1C60h10oV9OMjTy1ZkuvDsmNqiJI07qTqDcUbYGOMFwpknolDrWflcxghQ9yKSLIuJz68JVBZksCULZPdYKI6kWQiSNLeRx67Yx9DhnMB+rmMOwhwN4sSurjWBQDGD7mk4OxZGyMAO8WjMkEXlK+zxzhKPnSWuvlX/G/iMf4EvOHPD0eqUzif61jm2bz0N2T2XFHVKUumiVdquUaha6etcIGPpmMrjV931DrVEQ913EJc+rurY9CjTtVV8SIqL3HKLQNLMA3D8+hE5V2zo8M5RxHFqTj6seBA97m8HfjyKovuHcDyPPgpIQr5q/95FBGt37f+nkMrbsz9AKgypeD0r2ZpzWLD6VpbpJoSbxKhVtbZj3QiZ2tRm0JAc17mCikIpBg1Y55Oe3SqnLAVryW1J+xTdKLlWYxCbAHiETvsDZIJS9UQ0sWpi0KlNTSTKwdbEr1WX7DY6qAC/KNC13fZaRbl0iKW/U4y1yIt7zoA3Rcig68uQjIVEBuunJWmOkepVMWStWrftjybNJpIos0BzgT0W4iamQiyaQDVxbtv7nSX+1mtyBXn+AZLE9XnWjdx2PUvx+bsMur5U+M3E46/Z22ffdMwBB9UClSI4zpBmygXbuAYsNVTodafWXmc4EK0S/ax1EEZ7GjnL19dm9ygBvwU2OSts1aZGgG+HygTg04lfhfbK9CjaBbxNlUyiUa6UTYVd1JBBIcAabW5xkX/7eXvnfu7xKDDuR2Hk8qbHN8CfB56OougfGGPOActRFP32g9z/QSruZcTI4HeBHwN+8VgbB+8g8lUnkVf/CnJCVXGknOgZMGMYL0Kz8BSN3VehIJhk0m9R4QzFpJOrvs99SgxcVarJOkScZzIWC9fuv/JpN1m11LwVl0glGc8cbUupXyvWEUWphEoR04pIceekUYJONep19y2U4lvSoWeboropTzrqtKizwQWneSHsE3k/rnGVZu88qbJMd15YXHcLW9bvi+EBeXq7Ur3vbxfi5JZyb1rciNxGkt1X2Mu1mn0xcb2PVLwBkpDXECreuv1fE7iq9G1xEJ++SpywFSbRalmPx0InM8syccl5C0nympwD4oR+NnG8fuI5skA2pupp0/gGl92iH3TF/ixgiYrdqWlzUBvisVBZPJauQznCWMmRZurofaLHLkbGau6rTcsuZVTTRvVMFL4RgaoVRwsFqfKT33HV9T7qeJgY96MycnlT/I+IaN9XAf8A6AP/GvjSB7nzgwzg/G1jzN8B/jiiFPjDxpifBv5ZFEUbn+tRH1mkkOS9i8AjY+Jq+zlgAv3FBUrskZlAujChVziVwHJ7nE/4NbapueraI+Q2Ddc4ChLbSdEM6bgv2DnrvANY+VgBVn0COnboRuELHWnWTr8m3uSYsy4ainNrWxSwifY+m6wm9LrTjqGg212d3lOqoBoTawUewzo67TdzO4Ok9Kw6wwc7PrXFDquLm6IdPZHBFlKhMEQqyGmxjPyd3ZOpRE2Gy7jpxBNnd9m/WZCkqIm7STzooskWYrxZR88D4uajUvUGxFCMUvj0MVSKdQCclcnLfHHkJjFp2Nuftc+zhWDnLxKzTRr291VkAblpH3eQtVOjRTK2v3GZG/QpcYtnyReH5AojJxqmcJzq56gpsUoBiwFD3n12t2kwJeMGrrQwUGogiEDUfXxHVxVN7rTri2jvRSGvjgUCtfoWre+JG9k/Sr9JeCRQySMxcnlTfCCKoi82xnwKIIqi+8aYB14BH2iZiqIoMsbohnUGLAE/Y4z55SiK/sbnctRHFj1ADal3kApv0f68AtTh5K/vQRXG5yFgyTV1YudzqY5mlopXoevsvQSTvuW0SdTMV/Hui4giXp+S4+OKFnisd6wVuFpb6XSiT+CcUmq2OtKTLTmhmWfoWCHXuOq+1MoOUFEgVXZLurFopaUj71N7/K1JnWqmjZoYj8gzoMR1rrghn0b5Nnd26+ISQ47xIE+QldfUD0rSiBxbLQ+XyMD1tYKF2E5Mk3ZW/t+/VpBvX5fYdizgYONRE26RGL5o2se+SdwkxD62DsxoZWxH191PFk5c2qVc7jKa5K0eiX3sFJCyU5N6VkBc1WeBBpyoWGlXq1bIDF669cWc8HdZrQklMGV3TOfYpFWoE+z65ApD+5kN8ZjRpUKbmtuVJRfdEoPEd2yESrmqLIImXGWLdKkwJc1LVvFSNHVStq4fuO+lZ5du1VXR7wvg/pcex9GiqJ9D4q4YY15I/P8xq++v8VmNXB5C7NnKPgIwxpzmXTiMPQjG/Z3Ah5HT4keBvx5F0Z4x5gSS6o5X4lYe902kyl60l20iJ3APuALMILsLmcKEilVZ0wjwnfyouJfEZgdqLSVUPWnYpAicpKvyrhXOAOGEq8rbJquuotZKSafhADcmL2yPiVP5C/BtQ6nn8EtVJyzTc5riqgOuA0BKL9OTUo9PmlSxeW0j00zwxCukmXBjV6CQdHZKzWszpEa10OHWzrNMxxlOpEJJ2FsFfePiKjvZcISYMtdFEuPZxGUD+3nJmxn/PbCPZ6tyPm6f43linHmAVLyalH+NuBmpDBJlscyIKYgfjA8t2JHxecdwcQuKOdiQvGqPTav1APabBXlNinUDvAj72QKvVi7x6tkxy2da5K0g1DDMMxlnuFOoMyLPs4gd4Q27sKvH4yarnKfpJnVVVEqpgYCloxad2W+D27ZaX2FqaX362avGN+A0VJT9pEWHAG45+hTxmLmJzJ6rhI4mIswBRtYDRDeKouff4frPauTyEOL/g0xNVo0x3wv8WeBvP+idH6TirgDf8GZedxRF+8aYr3s3R/pYxD+P4FsM9jspHO5FhNsNwjBJAQV4o7zgsEMQOKI06VMe7+AtxrxVTbKaXOVEkUlJZX7o/QHXVNTqGISxoeYHqrgHHEii+lwDRAe5TosWdats13aJWSfpNLTiUmnXIn3naZhmSicB8KsYVRERt1KMXKmOq2xynStsTladmUHJ67vtdo+KQAq2Ms4u32NcLEh1WpnB1kIMJwTEUqxasWoSBGiMYcviFx9EkuK6va02JxX6aCJQlzYBA+JmpzJLmsRYtz4fxFW+Mkx8HPXQS4WWvujFNEJliSgOr5ElVgvUxSAgTupKPdVkv7wnbvQIXjxCTI9b5bprtgkevYFOlWqVvWQ/Ox1BV1MFvV+A7ySIhQUlypHrrDEix7NW8VJciLpW13uGqlmqBkqHmmMnlek53ZtKoik9OWKM+xFAJVs8AiOXZERR9OPGmE8CX40sFH86iqKXHvT+D4Jx/7fvcN0DP9FjFZtI1e0hJ1MLeSdWkSrck/9PfmaP2TNtrvM+RE/iNpNMmiCTdyp64gc5dZ32ZKOmRsdV5lq1p207RycsZRtctjXPxOGFyiJoU+WOVXNTOp5SB1XsPkXIFa47/rUaNWyyyi0u2p2BcIJ13HpgH0e/8E3igS4ZrqhYTnrXwTDic2kXsZkHsxTDQZ5GoWkpa1OZIm347GwvQyqSSjUVsXi2LcJNxYWDcEKTGGdO4tpFW+BsI0l3OYJtE/OtFS5RvLqIJF1NqimE3nmWeKgGYmjFTzz3WuJ+2Me20Mre7GSMv+sx6uKyTswmeXNSTi5AjnWyJ1CR4umzlNPFaYbnSXsT1tjgCr+PapNrH0MLCJ141J2YmlpMrRCVTEsKRq4KjKpTojCbug4JRVXkasXwQ/Xe1c80pgyqdR9A0Vbm2vf5F3wrRx0POXE/EiOXZBhjPgh8Ooqif2r/LxljPhBF0Sce5P4PrxV7nGIXeIk4eZcRGqBe10ISeEqUAv3F+6QIqU065Hf3mZ4Se7MeOIqWJDgRXNIm4hCVho2xwYpVB/SYscomIm6/BIjZ7x3qqGejVuN3wI3XX+UafYou0eptbtPgfVx3OiA6dakQj068aeWmrvR9xJWlQpfbnHfmr7owlRjYrXFoKY0yhp8rjBha3etbvYvUyjGzxVNXmexEnNUHOXa2yzG+nUUSYwpJ4hYPPgCfbBu5oomFNAx8MIKUkftqUlZ8W6vswD5uhZjWNyNuJt5MXKbffm1KbiPJuEvMBsHez1+IH69oH0ehloZ9HWN7vd53RlzBDxALM03uZ/fI+n0GuyVGFlICSNWElTMhjc99xw7KMHGa3UmMu07LUf9qtGlaUSmFL1QtsEuZASVnsLDJKi9bHe40smCs2OlLbTYrfzxEdG5A5gjk+5GxhcrRq/I97Ir7URm5vCn+JyAp0Lf7Fpe9bTyZiXuGIAOvIQk6a/8/BXSAL7CXVWGaPcH5sAlAerzP7VPLjj6ndCx1ir/CdXLUCBAVPOW+Jilb2oBcY4McQ+5YxoD4OAprQ3m3U1uFr7J5wAdQJyGV0qVNKYFC1hw/9wIbrPKaayLVaFtlwrSDQ+QELDqao2osq3ztyA4FdfDpUqbOHbdAqWfjcJBjGOYZDnL0syXCmUdxuctg/TT3ts/E73kyufrESfYskhSvIsnzxcRnVSTmZvsmTvKKIw+IG41d4kper9eKWpOt0g+TDUyIqYhF4qSuEEwq8ZhnI+iaGO5RBsuWfR0VYpx+Zh9Xq/4BbldRrASks1M8L5QEXbQQx64PBUm4PWt6pzi39hz6lBiGeadpot+p61xB9NXrbnflE9Cl7MbbVQ99Yod7RA1wyTXAtTciPpMza/ksME6dFkX7Xb7BZdf/OOqI4KHzuB+FkcubwiRp1RZ6fuB8/GQm7l37s4gkak3aO8B5JJmPgduQvrRPsJjndGvA2GohxgMqGVtt91w1K/xt4cnqxGGZnpxEOwNGxQVWvBalnTHBYtHZeWWY0KbmKqUVWtSsvohqMIvDjeemNXUrW7VV8i2etVvmMil0UKeGClUpFFOxbAPl9PYpMrE6KeqassqmWyCUfqaYZsZKfpboUfL6tBb1eHIyAbmdhcpegp0RycBNsxBzqhXOgJjZsUxc8Wr1rcl0jDQftWJNVtAvIpi3whd6e/37OeIErTCIQjCalLeJedkKpSj8gf07a8+zJjGGrvdLEWPeutgoDq7NVn9PmDNNGKROc6IizJIpGaqFjuuRqIa66oB0qLnFtk2NVrvO/jiN/5RU1grPdSm7BVhZQl0qdKg6OE9pf6Kxfv/A90jlXBUmmdp76byB9nJ6VOhQ4xYXeTziWGqVfMYSP1ST+68hHbcHimP3ah9KfCpizzcsXCLmcZ9CGCWawFNy3cImlFKStIeFrEvW67bxo0I/qpCnW1utwgHUSWfhHoSpPfqFEi8vXnSJWnWwRdc6dFW28mxf4jJVq8tdocsF1rljmdo+9xnYJCwwx8Dxv/u2PtLjWyJgwy4Eqjiok3latek49ZSM27Lf5g85CKa1s0ImOz2ooU3IZ16/AIPsQU71DKunbdj3C3GyXiaulrVKVUaHZWM4Gt9zxIk8mfSxt9smxp616taKWe87JoZm1hPPU0H8nZKMlkv2sbUybxBX7jMTs1POEg/iaAW/TVyJJ5kkyqJ5UTjqC1/xBl5qxjgoEUx86hmRUtVegurIaCNS4bYUQ9JMKNd6B3ZxOpAltEAZ2gLc56NGHCoGJrYXKTKIzrcO1wzJOUmFjq21fQJucJkSfefiFLDkJih/hr/AUccxHXn/FoRZ8reRTcOvAt/8oHd+MhM3sHAKSdggJ2UL3BzBORzGzWcgmwJOwjQb0vXKLiEDDjIJWHKVrlKpktXqkDz98zLtNrVNvg5VbltTAiAxKCEnsD7Ps7wMyIk1sQm1xIAOVUqIN6W66+Qtw0Srfa22i4gg1n0Lw2jSb7HCBmt0Kbux6RU7Ti0TlHKS17lDjwrPL34yQXMU3L5FXdT6bLV59gtfIceQV7gsAzWa1DQZKmySTLI+sSzqMjFOrQl+i7gKzibud5YY0lDMWZuDel+IFwyIx9whhk8uES8EuqAr80UXjm0OmBBTBP4oMUOlaG+bbICeTVxvmSuZ7ETcfZqGnWCZ9BdNuZiAQ5Sal2NEixVmeHYEpkOLOhViN3e97XmaFOm7HVbPGm0ovKKj8KKpLZQqraB1YjYk5Sp1/f6u0Epo7KxSp+UqfNV+fxziuCXuKIo6SNPzc4onNnGziwhMPY1U2FZQCuz/9xCWyS5yonpQ2tnj/Kmm0xvJWc62JjkdWVAdE21anqfplNdku5pxwxDJEzV5Io7I07IMAm1KqZaJbn1XaLmTuEuFDBM3badNLKEdzuxJKTZlA+Sk00ZWYBkrWqmfp+nU5kBYJiNybiBIYJmLDMkxmuSZWIU/KnvQFQqlW9zOEleh1qiACtJc9O37vU1sTBAQsy4qxBV8QIyJa0XbIK6i4YD/o2t8QlzRa0V+yV7Xtc+tcIxPXO03iLF1u/tyx1skPnMU0gmQhWEZgW6eIzZX0EUmCyf8XdFm0eZmCu6+ukL9qZYbotFGdojHGhtMSFu66ND9iLzw0C3WgCsaVJHyU1ylxADVlskzdIYYSvEs0Uf9RtVpR42hFSIZWdhkgwtuMdfBsMchjpMet4YxJgv8FeALScz9RlH0lx/k/k9s4h7uIqnlK5Gm2CvEAzkpJKkX7M8EqMNrp07To4JPQJW2lc9MO5x7SI4m5/G5706wGZ6TRe1SZo11WztVmdj7Fm1lJEyTtjthFPfWCn2VTTpU3eRblTYZpg6m0WoJ5CQeWYpe3tK/9FiV1hfiUaXjeN0Ke8zwLKc8g4pW3eCy07LQncTdV1coVgIqiz362RLpzJS7rLDZXhVjg+0FK9w0dqYJ+0l82rcfhlbUY2KIRJOlQiAVYs630vCSzUiIMWatqLUq/k3iRmSQeO5kpazsFk3+Y2LcXI9DoY/lPbi2EDcn9TUp5NIgZpq8qerfH+RjPvpVe5/xguVOx2qOOSvdu84aa6zjIZ6eCn/1wgp1r2WNDjLWu6ZO3erXrLLJJqu2oEjhMXJmwUoj1Yrct0wTFRjLMEXd5dVfVf+vWhGxAP+AbslRxjHV4/6fkW/C1yJaJX8e4bo9UBy7V/uwIj+I6KUM5VcQaOR5pNJeTPxo4wqIUqCTj42dLUbFBUpen1QYkvOGttlXc9Xtl/ACebvV1YRXYmCT4tAyrfMHjkmhijZVmjQOsAn0JNHmk+KY2sRS6EN/N2gyQ6zHdJKyRsdVagAX2HDYtm6bZfLujrtsSI4aHa5wHdVx9gidZ6NfCBiGecKZRyYz4emnXhbaYK/C3iwriemFLOOzWU6c3SV79p4M6BSJE3aXGOJQmEShlCxxwoY4qa4Rj80r9KIQyVl72yYH5VUbxBWyJmFtduqZ4BM3GhVXP0t8vFlgsBAf2zLxKL4m/eeIk7W+tnX7OGMTUyITWHhwccnBJTraDsIw6trSvU+REgMClih7XQfRKdati/Ia646up9W7qgmW6Vmef6wBr0p/yijxmFm1yNgBSXeJm6y6ZP84xeNS/b+LWIui6M8ZYz4URdG/NMb8BEI/fKB4YhM3QPmD9o/XkBNzx/4/BlYQmMQ2Ks0OPL24Tf7SiIVNCM/vsVlYZZVNlu6NyRSmDDIlztN0J5Fql8zwKNut6h1bGWnVo5W6Js1kVavjxENy1nqq4rbSKmzVpsYo4cZzx2pU6AnrMXOTddpsUk63VvwD28DUrbIqEKqsqw6BiO6KTHemvQmMFwh2xU1nUsjQ2a3ipULhbG8nONtjZMx7u8C4Uogr6GTCzhInvQpSJa9xUANE4YwuArUExLBEwEGqoDYKQZKrT5yMtRLXBH+TeBrzOWLWSMUeQ3IhCez9ko3SceJHK3Q97gbxAqBwTcUek16OwCWVpyQZe4RscIGcW+BzTpFRfCdFi0aFwhRzbtB0U7m3aVClTdXqoKRsxQ5YvZmm42OL9LBAdBkm3LZa8irVq9CdR0iHKlU6hHj8FB/mcYhj2pzcs78DY8xzxPykB4onOnE7GuAEcc+0E5MsIph3kXgYxwN2YHm8AynRMUkXpmx6q6ycapEKQ1ZosRqG3Pd858StrjnauQ/wuc4VcvbkS2KKegKpatxLXHbYtYaONcfb2onDRie2Qan4u4pcjcjb/0PnDq+0vpmtuvSE7FNy7jbqTQi4BKIn8GC3BF2YLctwxjTMMOj6nDrbEfW/wE5IVogTlSY+iCtWraiTDAy9nVbCWm2/QNz4u4kkd4gTtC4Cil3rY2rzs0HcPFT8fBmBLAYcZJQotKK7rjExxr5GvBhAXKHr8yi8k2yW6mNoozOV+D0W6duuXZhVy0YmbrusskmZHte46lhHqgsojkcDtyirbkmAz3mbyFWad431BLW055rhmvR01H1EPvHdGrlmOeBohbogPA4RRYbJ9OilZd9lfMwYs4SwSn4B+Tb8nQe985OduH8ngg8aSdTnEFx7giTrZ4gHdF5DTrwMUoU/A+zAM50t0fHWBLO7x94p6C6q4UHJDej0KTmp1DRTelQ4T5MME4r0HTwhvoEZ1MdSubYqDqXY4hRc01Kre+AA9KFVeHJrK9VTeIAG1qfEfXw3zt6n5BK0x4yXuegGPtRgwS8EDNfyhLMU26+uOoOBIOuLSa5Wo10k0a1xMHFpaALXxKdYseLgA6QC3kbghgpxVa1NxQqxHokmSE2eyxyskAMOmjIExKJRyUpZK+QxB0WpbtqfS4nXp/AOxMqG48RrbBJzyrXhaRN/du0e461TZLJibqDvv7KVlEmihgeA5VwvuWSdSUguKIMkbb9XfUrOmANUSqHqvpsqKqazBICDU0JSdqke0kxMWeYYOa31xyGiyIi0wjEIY8x3RVH0Q8BL1pzm/+QBnd2TceKhH9kDhDHmB4wxN40xv2+M+TljjJ+47iPGmHVjzC1jzNc+8oPpIMn4NSRpf4aYFjgjtjEbIEl81d72nr3fNfvbJvyF2/D0tW0uT24cEIdSZxhVDRySOzDA8DLPOmbKJqt8kuddY0lpd6ptkmNE2g5TqO2YyrjqCXmRW3Zy7r5jGuj1M8RFZUCJJueFFRNW3EmsFV+LFXpU6E9KeJ40s4bkaIeyAO1vF6zZ7oJjX+w3CzFPGuKKWzHgAZJktZLVhJkiTrA+cbLURPrmhKp4szI3voI4eepzKjbdQJKzXq7P2bC3uUS8YGjy9hP30+ecEU9hBsQLw4AYTqmQcLt502NpQk9xoGRaWH4DwBkCg0gZqJN60mFId3EjO0Wr90kzdROwF7lFSIqXkVkB/c6pnrpOVKrZtC72SX14/V7obVesr+WmnTD4Vb6OxyUkcXsP/HPE8Zfs7//v5/MgR7VM/TLwEasJ8P3AR4DvMcZcRriNX4iQ837FGPNsFEWPzkJaq+gskpB3kXflFSBM3Ear6jeIpWA/hSRs9a1M4ZJ6obBPo7pFfzHrmpB1WrbZk7fDzF1WaLkmJuCmFVfZtM2inKuilIpV546rgrQCV4fvOi1U9U/H7utIpawnoceMEXk+xVWnPXLvxTPcuORRz7TcSHV/ViKXGbq3SmmDIy/PMLSN1eweFBfiRJqsphv29zhx+TZxxatQBMRwyDYHq22IYQ2tdjUp6mMrRKFV/VbiNhUOsDocXNLgAMZMgxjXVrTRt9dpZZ3Er5OQTIqYIaK3GxBrlCzD8pd/hmDHZ5w6ZRO5aLmMt09xau11fC9wWLXu1jpUD0zSBvhOiS9pL1enZS3J4makVt9aqafsfEDG9jq0Sa4NyhkeHaoOYhOjYXGa/wQfsMM8OavRc7Qyrn8gIh6HhPyg8ZIxponIuf5+4nKDWB+870Ee5EgSdxRFv5T49+OIFi2Iy8RPRlE0AW4bY9YRN4r/65EdzEsWLpkQJ4MCMR3wJoJvLxKftPfs7xB5B28jMrEekgw6SPW9A6eKY/ZWZLy9TI+Gdc8p0ef9XEPH5H3uE7DEDS47OCXHkKYd0FGcsmHhlfv4TMg4OVcdmKjTchW9wh06Aak88A3WHHVMPCTzLF7aBnB0QIBcZijSsZk6KXt5izr9SUlEkfw9YVjcJG4cKgbsEyfzJjE74yzx9KJWulp5a4IdE9MC9bde7hMPwwwS900mYP2cmsT88LOJ2zeIG5QDYrVCrdB9ez9tTL4Z9lFoR38axHxvOGhObBN3SIq1xQ2az4UMXjgtxsODLKQg6PrUam03wKXvv6pG5hla/fSM08oWjFrs7HSuQJUBIWYfdai6HZaIl8nwTTkxIavYdo+ym5AVN/ipow16zFAj66Dn8zjl7igyzPaOR+KOoui/MMYsIwySr/9cH+dxAIb+MvBT9u8zSCLX2LKX/YEwxnwzdkT03Llzn98R3COelNRhsA5iqADxtv42gmlrs3IRaNvb/nsEqaoi1bcmkwL0FhcJ8K25btcKCJWdaJNOu0myFQd1edrQUQfFY3DKeW4DQhkTvvd90rappU2poRUEUnnX0PKypXpfct6RUnnn5DkyOYd5TsMM/aBEOPMp1fqkCOlPSpARESS/ILoVp5+6w91b52LxKIUCBvb/IrAWQdbEVbdPnNjWkUoVe9068eIZECdUfSxlgSSfJ1nl6+Njr9NefWAv2yaGYwLiilwrb4VTlJWiSTmZ3NeI9VRmice6RDz5OSZeBIATa7uOqumOfwD4EQwM+aLo1XR2qwwHefZnHgvZKY3ybafmp8a9XQufhXZxTzFkZDngfcqosbBCKjrgpTBYgBpFx6p+UzLOJFi4+ymHhSvV1CNPs91gf+YRncnyeIVhP3wcUtkDx13g+ps9Dt5NPLJXa4z5FeIWUDI+GkXRz9vbfBT5+v+43u0tbv+WzhPWauhjAM8///zn506RsT87YGFAqaYVHinYy8fEDjqqaaLY5w5ugCeqg+nB7rkTBBnfnUjasdehFmkgBtToWNmmjGv63EHE9EUzeUqZHmqXBuKaowlehYDSTK08a8Ml9hod15hUxxuPGVe55iATVTmUsfYyDe82rXKd7VdXeeX1iyxkp+SLQ0neiIBRuWYn9rJ70EgMo6SAxh4sL8j72DVxpazXazPvKjF3W3OBLgJNYoqgvOCYCpisnLUq1uS9RWwaDHHzMmUf9/nE8zSIdwgpJFFvEe8OGsTMD4VXtBmpVTfEyT77puu3gEsR+4M8m9lVwllKtvSq7T1egGJEOjuls1ulWOiLJ2eQZW+WpV8uWcOEiQU5xKZsStp9pj3KbLLKBWu2kBzi2WSVtJWKUqhNret0OEtpn1rZ37fNbh30Gu3mGDRPkz17j/3AUjnfspQ6wogQo4tjElEUhcaYijEmHUXR9LPf4w/GI0vcURR9zTtdb4z5MPB1wFcn5A23eMTOE28Z1yN4v3FSri6JnEOq5x6SYBaJ5WCv2+u+AGloqqJgSsyGT872aGYa3Md3GLMmU1USTBG6Cki2uUO3PfWYMbAVmib+ieVXq9O34JICkbTt8I/6B+rjiWynsAzuUHeYOYhFlceMEgNH+QosBJNhwuJyj50XltkrZkl/kUxy+pmA9Z0LhLMUfvk+C8URe/4Cyxc/Q6ddY//FAqfOdpiO08Lpbi7HCQ1ip5mAg4ySBlIhpxCY4jligSjFpnXn8yKSUC/Zx/Q5mEQbiGPOFrHuiCb0ZWIJ1lTiugaxOuEycfWuTVFdGLR5qhW/HtvZxGPr4+rZlZ2QyU7xUiP6QQmvOGJv66TFww1B0Wd/nKZY6FPy++yM0zBLHdCsibHrotN3Vxxb5YI1OUsSF/ca7asI1VCUK/V7pcqBaoLdpkYQ+oQzj/a4SiY7FXf7bMR46xQMIHrYzosPIyJzrBK3jVeB3zLG/AKxahJRFP3gg9z5SPYXxpg/AXwP8JVRFA0TV/0C8BPGmB9EmpPPAL99KAfV4yBc8gXIEM4AqbBP2t9jpHFZI2YSLCJwyxtyfWlnj+3qIioYpXCF6GmL36NyaHVMXimDZboOY8xblbYROVeJj8g7v0lN4KpvMiTPJ/gAecQ5vEWdNBN8Am5xEfUJ7FHhZS46KKVDFR9RDtRx+xCPYOa7SlKbVSEepcUBYShLT7ncpTOTncHF2i3HlPFSoUi8Avh7ZBt9xjdPxRj0NQ42H/3EZ6EVeQo7bchBuVatls8SNzK3OOhlqY9XTFzeJYY4btrrNbE3iRkompAH9nmbiePxOUgV1OanLhxj4qbrWchWhM7ZyDSluVcesnXrGQAWrr5Bye8TzjyGgzzTMIOXCjl1tkPaE+MEEBGvBk0qdC2XPp5gnNjdVoDP5mSVna5P/0zJ2tl1nLBYa2eFcFHt0AaEeFyfXKGU6dupyJTcxu4KyjXB0L2ULBjjm6fkvXgsEzei3Hi8omV/ToBiaA8eRwUM/TACTvyyMQbg41EUfUsURZ82xvw0cAM5Nb7tkTJK3hx1JDmXkcq7jCRzEChkF0naKWRJeYOY462iVR0w1Xg8/gLrtgEokpmKVd5HRKOWCLhDnds0HPQh4lMppqS5n6Bk3eKixbxzNLjtsEhln1StJ6QO4FzhOm2qwgSxTAEVs7revkK5Jm48vXaZeq1FmR4buxfwUiGrmU0uFDbYeB4G2xWG5Ogiyoh3X6/CzMN/KiAkRaPWdFRBNVeYjNPiF5kFiiGlxQHjs+rduIAd4rNaJsDyWHS8kzDENgdd2TUBK56s2HSTmN4XECfngIOLgD5ukHgshbqWiZurQeL5Z8R8ccXufeJqXG8D8fh7CkdTHKdOsXzxM273MwzzkIo4/UWb1tRgxsjL082U2dxZZdxdYsHvky969DPyiWly1qEZNcPYZJVg16c/K+IvBgLDdLP0KyW64zKpxTBWcrQJuEdFpnB7FfbGaULf40JhgxZ1wlmKvUGOYkV2V612Hb8SUFvs8OrZPKQeN2w7EbPPfpPHKaIo+vufz/2PilWy9g7XfS/wvYd4OBKvRfCnjDQdQ6QRqQJTWoHrSPwMqRiVCngOwbytOcNu+QQzPOsBGDpudpkeLeqOU630uiodt/VN2enGFiucp0nNkspVK0KpW5us0qHm+Ntq/Po8LziRKB2oUFaCUgbLdCn5OuYzpVSTJucI8Y9UHneZLkHB5/KFG9zmPJ1JjVxmyNkzm/QnJXqTMn4m4CK3XHMVIO8NKS325WQPshBkCbI+z5y5xUZ7jf1gIabLVbBJ0iYF3cVoZd0l5l+PEz+KSWeJk7Mm+RRxMoeYRz0mNm1Q2ESblfqNHHNQ81uT+zIC0WSJpWD1NUC8M1D2iSb8AIIdn+Gi6GJ7Xki2cp+g51Mq963HkVD88sUR9UUZxApC3y3uKg6lfqIqYRCSYjLOsLd9km2b8E899zp5b0g/qDNZFDGxKRlyBeH+v/LqZcHWgezyPVYKLTxmhKHH3iAHNxcYXPIZvHhavld+n1e3G/BCluhDPJ4hFjjHKowx/5G36N9FUfRVD3L/Y9WKfeSRFJfS8BBXHGWR1ImNFkCS9wRJ3otyO2+2zyBTcs1AlX9V78ASfVZoccfqyHrMKNPjIi+jbjQZpk7Fb8kOSygWHpKiY/FyjxkVum5IQyGTJuedwWvanvAqGxuSYjWz6fB15fPq8EeVtoNLygmT2FJGGqCd3Sq5wojpRBKOCGx5dCY1hoO8NDKDklTXRaEM7l07ycZza6IauMVBqAEkyTWJK/AGBzWwtSGpv58nxsq1wakJU39/BXEVPAO+xj7Hi8QJXO+bImaL6GXFxP3HxM7y2vh83l7+HPFI/CUOOs0XYTrOwCKs8prsqhahv1N00NSIPClCVr1N1zCue+L/2OC2g7Pa1JwMQY8yFbp45RlNzrM3yLE3yJEvtwl2ffaDAv1aCZXhLdPlxk6ctLWJKju7DHlvSLjcY6e7LH2LrDSc3ef4OCfGfbAsyEcexpg/B/w9pJT7siiKXkhc9xFEqjUEvjOKoncSjfruxN9Z4M/wLt7leeJOxk9E8EPmYENKdbpTxMM5qtut3O8ZkIHtr1okzYRUGLoBiSpt614SOvgEYJNVBpRcxz+pGaEu3qpdopW7Vs2qla1MlcAquqkgldC6JKlm7Hh9Ute7awd5VPNEBKcyqLJgj4prZq7QokfFJfgheWE+6FuQSTtRqp2uT7Y4ZGd9+SBkYJPh/s0CrI3JfsU9kXhtFuDsGJpZcXFXL0eFQJaJMeMkHKENQa2wx8j9Pm4vW+NgMn8xcSzK/qgQD/RkibVRAuJqfBlOPfc69144c5Ct4hOP2F8lrs4b9vc6cRMzgP1imls7zzooglmKU40WrUmdaqbtmEPyGXVc70P9QwH32asrUo2242Snyuuss8ZeUKK7U2bcXYIxqLxwlQ4bXCCTnTL1d9nfEvxvvHWK4WIAWEmFmQd+JMdYGUM3K0ySGUR/hsc3IuJhuUcfLwLfAPxI8sJ3OzwYRdEn33TRbxljfv1BD2KeuN8c95BGpPpRniQextl50231clull3d26C0ugjcRmMFOrmkTUQV/dGBCKV2CW97mGu+nxIBzbFK3ZJoeFQLytKgztQavF1gnaRum/OCyNVUAmdLUYZ+6de9WR3fVLs4zco2t+/h02jWqtZxz8tYRaE0WLVbwmFGtSdNsNJEE3g5r3HvxjCS9q8ODI91ardrqdflMS3jh2RI73QLMsvFtNVFvEzNGKonHUDhCE3WKuMLd5qBnpMIlAbEm9q9xUFdbIduPEw8CNYghkJSdyEskYeBgc5TEfc9G0DQxnTAFLEcsFEeMu0tkK/fZS4WcyE7xvYDQE9ONIXlUgle/Kx1qAmkxcJohK9asd0KGDS44PZoheUm2Y2Mlc8eQ8uiFFXpUwINb7bhpvL8s+uiVxZ7Abr1V9rZPQnGPE8Uh+eJQzB6U9bOFpKPHOQ5pRxBF0UsAtjeXjHc1PGiMOZX49wTwJbw1ffotY5643xx/P4JvNwKPlIm53Pfs7yvEjUpbaXMO98XJh0Nygz1Gi9MD+iEQu3QrLKHKgXmGvMxF+pSER02T+1QdXTC2QFtxbJMBJe4Qa2grG0XNHXRyTu+v/pbK9VaYBeA67xOGSK3HeZqo07vqmQwSDbKAJcHhd8qMB3m85ZDhICdTlOMFxt0lTvi77M9sV3cGC2ffELuurdN02lIl7r9YiJkeZ4HUTJqWATFcodi2whWakDVxN4nZJFqVa7U9Jh7uaSDKggrPKOSBfa5m4v+AA0JVw0Feqs/txAJzFrhkjX+vkRjtNwc8NE+c3ZUkGMjnP7Yc7f1sxLCWc5OrGcv8mdqugy62Ku+r3x1hJ6VoscJtGgfYSZOnNpmGAnl4hPTDEve2yzDIcuNsWiCqQZb97B5Zv+9ErYbkyWQnlL/wM2y/Xme/W2AwTlNcu8tglkjej3O8e4y7Yox5IfH/x+xcyOcTDzw8aOOTyJEb5OhvIzDLA8U8cb9VtJDNTpbYugxiL8oCsUel6pickwnJPiXKi13UJVvxSB0ZVp62Jm0fMWPVy/RkVRhEZVrLdN0J/mY1wBDPJWUV1Vc+NuCw7Ymt2PWE9RFDYYVRNEmo9ZUOciRtofIMJfEv9m3DLc29m2dgeY8Tjd24WitGsGVgGbzUjEHXp3j2Ll4qlOlAn5he5+/BLBXj3RBXxJqUk9CJ4tgKo/j8Qc3tZeKpS21GamW+RbwrWCOGTgLicX1bPe9lT8af/1nbS0rNeOqpDV5NNeBSNk5s48TjzmA/KDAY5Fnw++yNMzDzWFzbppxRb9AOE9JO1uAyNwjwUeeknOXiq7qjKv21qTIlwyChGFijTeCJ6cIqm2x4F7hHmcXGNqVMn0HXt4vSAuPgFNPlXTaLq8xmHpnsVGR6AbIRBAsMZhXHsIm+8c0nyGMW7z5xd6Moev7trnyQ4cG3utvbHNlbRhRF59/5EN855on7reJnI/hLRt6dU8Syr+eJqfJVXDNzbwVai6d5yeqM1CxmrTizYsqayFV1TbnbmrQBLnLLJV4Ro+qi0q6ZRGJWv0oZrpk6d3YdXVYZzuQicZ4m9/GtFvfUNsZytoofukaqQilqg7XBmmO1pO1x5hjSDmuUvD5nP/AKADM8SQBZhFe7JpXquLvEieKQdHbKcJBjLyjF9Lp1YO1gw4wBUsk+R1z9akNTTyel9y0TD90sR7BuJzU/TgzRXCWWh/WJJym1Ak8R63E3EGoiwJouWAucuCofvF8JAOG1nz2zSTtbE5gBoDJm+YyIhjXbDfbXCxSvyueSPztkZ6tGPyiRqw1dv0EMETKOqqkL8zoX6FFxw1vqtB7gkyKkt1vm1e4FvuqpX8QjdP6iV/h9QlL4BKTPTJ2uDd2FGHsvwr6fZpIK8VIz+kGJ/a0C2bV7TFMh+4MC/IqJoaHHPR4yq+SzDQ++TWzxAMODxpgvBTajKNq2//9FpDH5KvD3oii69yBPNk/cbxcZ4kGKHeQE7yAJuw6E8EZ9gfue7ybRVCpTcOwVpmSsLkmFG1wmY30j00yc0ppg1EVXRSuzA4QCqPQv1RFp0rAjGIJtr9ByJ/x1rthGpnyLdQEAHDtEIJqpfYkTVux3S4WqQJxUbnHRYfRiMHufITnStgLX5P7qJy6JrvTyPSqLPXKFEV5jm8k4TSoV4lUCdrbLeKlQFPBSaQhMnDA1eWoi1+bfB4knLpVVMkCaiZp4IRaD8hG4pbEgsIjeL0kpVJbKMvGC4BNPPYLoh3Sz4O+JKQQiAlWuxbuP7VtPEzY8ypketXKbod8n6PqU/L57f6u1NtuzOrnCiF67TDo7YfFsm1JGPt8uZc7TdBOPABes6/GUDDU6tKnandF9e7kUAjM80tkpy09t0uQ8ai8HWMZR1VEMfQKxPqvswfML8Y5kvIDn96VJvFWAbRh3T8n7cC1+r6N//uYT4zGMx4MO+KDDgz+C8JswxvwR4PuA70DKi48RC+69Y8wT99vF/y+C7zGSqFWHRPHuEO6tZglJMaBE17IufMREOB5DF+ETHU5RPYi0naYUw98Oq2ySZ0SbqhuH9xLfRBX+UTlOEOaJnvAZprQc1QXHw1YlQcW3lSWyyiZtq0WxZgeElDYoza+0g2V0YChlR/RVnKhPiek47TDnTFboi722JOm9cZpFm7TZWoBLI/qUZIS6iVRzDWJIRBOzNvUCYpx7zV6+zUGfygCpkotQbNxlcO10jHsPiDHygPjE1qanwh9arQ/ssQyMHc9f4F6qzFNnmpRrXddE9PA4tfY6aW/ClDQeITWvjVcL6e8UyWSmbmo1f0YmZvvZIvniiLLXpZIw5VX7OsBx4ENSDucWd/WM+5zXWCfHkIAlPC9kGmZI2d9tLxaEAlziv757hcF2BbITCzktuMbtOLUk78GW/M8aslPZtu+NsnaOQxxS4jbG/OeIlvZp4N8bY65FUfS172J40EtU1d+I4Ov/GvjXxphrD3oc88T9TvE0ov5XQxqVLQQeAVL1kA0vpmu1WKHEgDXWHS5do+OakHkrtrrKJiEpbvEsHWrkGLHKJj0q1KyPpCb2UWJQR5NExSrFCQbddQ2tDFNmiKyrDtycp+majHFlL9vopp3U7FO0POGaY5kALmkrE0YNGIbkCSa+1SDZc/ZkO7+5DGtio7c/S1Fc7sq4dLAARchkJwQ9P2ZpZJHbz1LCxFjnoOteQGxMsE48CHOTuJJO4aCSwbXTB7nZijvPiP0nr3IQYgn0tnuc8Key4AxysL4Aa3tki/L+h6TYnFg51EyPtCfDL9pc7FMi6Pl4qZndTYmaY4s6IR5rixsOYprY3oG+xx6h02K/Y9/nNjX3GbapMUSUG2d4nKfJC7YZEM48+rMSw0EevxzSa5e5u3WO4qW7rBRaBCxJ0t424GfjnY3rE5h4ArRIrMJo3+vo85L6P8SIiB0cH/VTRdHPAT/3Ntc9yPCgZ4xJRVE0A74aq3Bq44Hz8Txxv1P81Qj+caLnUEWSeAZOtvbwV4XNodVwmyo3uOwakHpigsAPVdoOpgAsVDKz1XefHmWKdpBmZJkd6u+n5gg9yvgE5Bg6LFt8I9OUGFhLstA2tyTx+Nx3FbpQzgQi8S1O3rZba3FbEVJySMo9FwjPd6iCWJmQ9EV5HXfHVlJ3Hbi54LQ8igWBDKZrd8kVRlTosok0w8aVgq2yF6QZ1iQeT9fEoo1IxZ+VFmgf3/lZXoKFyhvs/drJP2hnNrCPo3DMzB6nT1yNz4DxAvvA/ovWvd0HuguMU3mCrE8uM2Q4yDsNjzotS+lcsvzqHJnshFxhJPiz5bVv9laplwWKClhyi7K8n5LIR+RIEdIK67S9eKhKHdY9u8sZ2R1Pm5pTc8xkBLp5Zfsyd8dpls+02O4+zWC7wp1lkSrgBQMVOFHZlYXp5smDFEmFlJSto++dVt3HIQ6Xx/35xv8C/LoxpouMDf0GgDFmjT9IOH7bmCfuzxabxO4mz8DdZ4qc3hywdxJXRatU69A2E3MM2WCNMl3uWAME4MDQTIjnGpEhHg2aFiDxrMDr1DWjBN8euccRPnVIjQ4rtOhYHW6V8BTRqQkbrFGnRY2O42arCXCOESNyTMhQtJcrHRFw4/UqAyuMmEmiOSqCWacvvibSn+PTcRJAxrzzxRHFQp/RJM9L21fA6mU4db0xgncrM0R50QNiWt4aMqGoyVurdYVRBrBXTMfJfI1Ys+Q3ibFtTeJ6fw1/zOkzHcLQ415K6HNkheq3WAlIZ+Sz8MsB/Z2i04lpUaezWxWPTWA281B1xhF5ujtlMtmJG5hSXn4SBlMTC58Azwu50b5MvjZ0dmRqjqHFgfK9FXKbkGaJgNNP3aG/UyRFyKlLr3Nv/YxQELeNY9yksxOhI+oCpgtik1iZURk3QPQ9D3JyPCbxeGDcDxRRFH2vMeZXEQm7X0ooo55AsO4Hinni/mzxP0TwT40k8AKc1jG5k7LtzVlM+lLnVUpVOdlEGChtJxZDxxiQqrzm2BlVhvSoOMEogAo9QlJuUrFqHW6kUSigY42Oa2bmGTlopk/RDm70XJJP+lJqNa4azIAbw8/bUQ7Fyi+w7iYmV2iRYcomq9ziIr1JmVxmKAl76zQLlTeE65zNQiqC1IzpOMN46xTZs/dE4Gi8EI9bp2DhuTfYG6eFH71GTKOrWJxDk7PCHgqb+MQcbYVMBll4bg9YiNUA4aBJsdIBteFpq+2iL9CQ54Uy2j1GPDSzsLNVE8inILICfYr0ehU2y8LKodBnGmbwvYDVxU1CPFphnX5Qol5uuQVSP8dkL8Jj5voQytt+cXaFCWlarJC3C6YummomnWEq4/FsukV2jXVai/K4eW/IPSBbHBJemrL3osjHjmd23kMpl7oL+YrE+xgQKyMepzhGiRsgiqKPv8VlL7+bxzhuH9HRxGvEnO0CUIaFCdQm0slPpUK4B7OqCAENyVGhd0DsSasljxlT0k7IPmPH1zXR6hSlUvM8Qpl+Q+Q4FdNWRxvANSDVM1CmHqU61gpQnbynpJ3Ea507VOjSpub0vLVxucmqY73oQqGwyU7XZ1JMiwbHNuylSpxqtMh7Q9q9GnvjNPvjtLMDm4wzNvHajuA4I1gy2GpbaINC+8vGOHRjjxPZKfsvFGLOd1G2/fuDvMAAimE3FmIGSbLJCXB2j2IlEP74oBCbOiDHliuMxMmnSwzH+HCiOCRXEBGMLhWrQR7YRq3YuvW9Eupd1KNM3hsSzPwE9NS3mux3nLhYmyojqycDAmU1aZAtDpmGGTYHvnyuWcHdM96UDlXnvj5C+PPphBFCPxQ7ub2gBAGElZSjKS4894a836lQ3mdtBivLBmLYKAXRR9/FufE4RETcbH5CYp64HyS+P4K/a3ndE5xqYHq8T2fxFGc278FJgUJydnhCE/PUAhhiCpy31lPiGdimyvmwycQTpoaOlg8QlcABJYqIDrZydTNMbP0umt2brB4Qi9Ifj9CZKigTRA0SdPBGRfQzlgeuTbUhOe5Qp0ONKm1G5JyzfIk+T5/ZIAh9kfucNQChzN2blVnITkURsLjHibVdUimRdA2Akt+Xab6xARbAH3OiMsWvBNwbnImrwDHQGPP0mQ16kzI7awVOX3wNn/u88uplGfIZp4UhsQwnGruyUBQXXNItXr0rg0AzIBUyWD9Nce0uua/scXdjleJyVxguQK9dFpx8+yQ0YKHxBqvlTddY7lPi9k6DfHHo3ie1hgNh8XQpy6DTJE2+OHTuMsp/F15+jokV+VKan0/gtGqmY/mc6ot3LPtIcHBlovQo216G7BKUrjkhLZIDIFzyD7SYhhnuvXASnhuzN8hxIjulXmuxNV4ThsnHswcFts6KVkz0bY/iBHrEccwq7ocR88T9oPEMohBYgCgF96tCB1xnjcnqa4Sk6FprKJ/AVbn1sMVtr2HdZ/Jue5tmik/IzPMo7Q4IUyfIpCbkvCHXeR9T0lxg3UIUwvVVxUCl6A2tX+TEMkwGNqErzl2kT4PbVu/Ed4yHMl279S85VszMVtT3rYaKwjx5RqyzhseMi7zsEjsIDr58psVgt8RgS5LkXtHCDSywnwrxUiHTSZpMdkI/KFH0+5TPyFh90PPJF4eUvS7pixOCHZ9MdioUwkFWBodSIcsXP2PFl2Y889QNemFFFOyeS3GiOMSvBOS9IVvbz8AMss/dwy8EVL+oI4l/uwz+HsNBnnR26oaBBltVgW8CSF+6x97amIXslFq57XZG4hDUp754x3Y0JGlrw3iDNdJMqXNHKHyZPLOM51g5Oih1nSuUbYN2SsbZkamhRYYJq7VNertlV5lr30EfB0SP5gaX5bkmeeqZFq9++lKsgOjLYjQc5KzIVpbFS9ukM1PavRrctCbFXQ46EY2VBnkMY5645/G28Rci+C1hmMw8yO/K3qxeaNnqKuOwaa1wQzy6XtnqS9QdS6NMjymiqlemSyYlTIO+J4lX5Vhrkw6tTN0l1y7lA0MYKULK9LjABgE+d6jbxJ5zVMAlC290LKdcOdlpOwxUpUOLlQMUww41h3FLwr51YKweOACL0LTVWyMi6/cZj09xwpfx953tMjRFf/vE87uUCyKElWFCrdym1a4zyaapL94hXEwx2pXqMF8JXNMuwOd6+4oYPJQ3KXtdvHLItDgknHnca9YJikOoRJwoDi3eLPZt5UyPsOIxePE0+7MF7q0XYAz9q4K7n/B32S/K2Pd0nKFWbtOflPAyIXmrH9K3CbxulRJVxlaHk1Stb5VNRjbB6kTs1PZB1rlAk4abck0ztXTQoZXzlXH2YkH2U+usMSFNwJJAMpQYknO/B7slvJR1hC/ugb/gtMHzjNge1CWZNWGnIlrod7vnYg1znxhaCuTv6K8+/NPmUOIQ6YCPS8wT97uJL49g07BwDxZSMD6FUwGsWq2PkJTT+hCObt1NVlatca9qcksyrJDJxNKuKtkakmIzs0qThsPAk1onkswn5GxyuMwN1K1bzRl87hMgQxYNKx6l3O82VSdEVUKc3Fdoiei+pRrquHSJOwmIJYZoQJpg42IWliNOX9iU2nCx6dTuAAbBaQhkXFwFkNLehO1PP82Jyi7jQZ7PDC5Q9PukLa47Gae5vnsFvxCwyiblWo/fe/0qm73V2FrLVvTZyn3CWQrP7zsMOmM1XzbaayJopQ1LHzgrvHIqbwDE+injNMMwTy4zdJ+TT8BtSy5X4wqtgpOTrmmmrNjvgg7R6HsIIh+gFE8ZohI+t0oNKOdbB3167TJ3Z1UWKwHtjAiOAc68Il8Qzn9nUpM+QNFi/IMFPvPqs8KfD4BlacCusklwcYm7W+dizZYZsYzucY7jRQd8KDFP3O8ytlcXqd3bwXQss6w1JnxGOl0KUQwtN7dL2fK2pUGlmLdU2j36FO1AjudwUOFXB7SpOdxUE0SeISNyFjWXrXaGnuN4q2O7iHl2rWCVDIjobSr02GTV2ZmBSMde5BY5hvTIkLeq9Goiq7FCC88eV4k+F8vifBN+kWidKL+8yXnWWGdIh83CKunnptzLniGceW73EOz4kI3IF4Ujrd6G95p1istd8sUR4Szmood4skgM8jx35jppJrS8ugwUWU3pkBRh6PHSzS+GFCw2toUG5xdiRxzLDx9snYbimKIvzurlWg/KgUAkYYaa1ybH0I2fA5aHPaFstcqV2rfKphOM0gGp99PmNg1ShEzIUKHLfUQeYWb5IiIcNmVCmjotboTiKzr05P3IF4fkMtKwzHgygNPINMUAeiLDTIOgJO/LrBBXzzcXhC1SRPTOEf33u7fOxT0EHbixtMrHXkjqs8UcKpnHO8UyAexaNoPVMDl9c8AbzyzQ90oO/9XkpxCESrR6hExI06HqhitA2CQ5qwSXQUT1VTVOq3OPkCJ9l4wVh1b2Qo4h52k6UwRlHcgWv2yfc0aIR9HSE6W5ueS8MUU+NHZNSRFym4YzFlbcu2qNbJMLlFbqoscyReVmQy/FjYuSlILQp+61CBZ9toKS8I2DLKW1bZmqTM1YKUh1WvZ6ls8sanjjrVMsLL9BmR4jKyEQ21NIEg28Jcc66QelmN2iTbhloCiQCkCuMKJa6DhJghptcp5QLFXwSXsTOlC1wQW3OxJmjjSatWdwniZlutSsgUGZHhOr5ncfnyUCXmOVHhXXxyjRZ81bF63t3QsA+IUAgNHMI+3FE5kAXibk1Rdlfn9czMZj/uvEbjzPjzmRCklnp/TCStz89YmlA8YQ/TcP+SQ57Jhj3PN4oFiN4CUj4+9VYAIn23sEdd9Nx03JOIqfskDSTK04vgy2aEJQTROh3Y0s3nne0fsyTC0UkyJFaJ3ay9Rtdd6i7kSrOtScdnZSplWboh1qtK3WtzbOarRd8zTNhPdxHXXmkS18yi0ma6yjhg4K2QifXMf7ZThExa5ShDQ5T97S57pembzlNueekoq2Xaw6y7OzTzUPGBsrD74ZViAbsdc9ySezX0KuMCIM5fX1gxJ7dnKwv1OUZN015JeHpCsB98bW5GF5D1IhixUx1s0VRvjcd7sZFWbymFkdx4lrBKvQk36WKo+bZ+h2RZrQMxbO0uNPMyFgybF87uMzmuTpDSrUym1Gdvkp2tuvFjaZFDIEoY/vBfgZgX9GuzleyD7PqrdJMPElWdnk6+zSlu3fY2CcYX9m6KdC/HIQNyJ1StI/ZoM2bxfzxD2PB45FnDb3bv0EgMMrAQd3ZJiwyqbDPNUrUhOmT+CGdUQxe8Imqy455Bjaqj3W1k4K7UvDqmjhlAHqXCPNMRmdXmfN8rJj7Q0dwQahIaqNWcamrJyFPjSZ6XOW6HOBDW5wGfXUDElRs4NCKhmbs8NFmoDV99K3i0mNNmUL27SpsjdOMwSqmbZlXQispPocLc+KaKUiioU+269aBc1ZimzlPmQFfhlvneJEZRcaU4oF2Z2QleZd1hc1vFKmTzozdXQ/rYJVZGtE3vmB3qFuB5rytjkrU5Aq1avvte6McpZ70qbmeO8brKGenNVMmzwj0pkp6cyU11gVuMcuDMoemZKm5rVtj0EedzbzmA1yTBfT1maMWHBLp0I1gQ2AF4XCujc+yV0VBPOJq+0XHsJ58DjEvDk5jweOD0RE9wzdUyLJWprIgEvZ4ssydNGy22vxg/x9rqAmBknpVbWrUqpYnpEdq15BVQQVZlH1N6GkdehR5mUuumbZgBJVOrZal/H2qVX7G5Inw8SxQ3TEvm0XE8Vcp5bNoJDJiDzrXHCj2FqBjiw1TgWR7luMPkXoKGvJhBawZGmN0rBz0ExxxLh5Cq8xpBdWqHltSoh2S85W7ylCThSHlPy+7EyeSh0Y++5Toj8pkWrcBaBakOZsnxJ3g3NQjBgHJc4+1XR9BYAWdbo7ZfKLI9uQlBH3HmUCxJhATXq1QbzKpluYVPe8SYNg1+dyQZrEQ3Ksc8G9fo+QYSZvHz3jmEMBS0wnaUqZvlN+7FIhw4QuFYKez/ZglcXlnrMa61IRY4RtZHDmLILhV5AknpAe4EVkyvRsVm6vlL8BRP/rIzs7Djfmzcl5vJswpyJKuwZvBpuLy4jjes9WqhknFKRJN88oQSdLuYlExXBDPG5x0SWJNTYOXNegyRV+H8DpiFRpc4Xr9Cw7e4mAC2ywxjq3aTgtjDf7UyqkU6bvxPqlyk9xmwaqFKgNx1U22WT1AOSStpV1jiErtMhZN/KuvU2VtuOQVy2UEiPS8Vev5rUZNnKUFgck7dyUYaMLQ6nWR0111ThCWR39SclV0kNyln89EBz8iz5NEPpMxzHTRxNqiT7pRYF3FM9WzRGFu+pWCnfd4tXiNDQgYAmVIfAJKBekkasyAtr8VW2X3m6ZXGHkXmOOIXXuEFret1IMdXe2OREGDdsL7AyW8S5Jdkp7E5mCLC6IfvjYsPA1bxDOvJhBo5osV+3va8TThT5E//AhnwxHHXOoZB7vJrK7wARq2Q5+RgZvyjs7TBbTDCi5SUYdKc8TGyPoNJwknwnqK1mheyDJ+gSow7qGaHeLbZlvt/naqFSd7wkZZ/Crz6uuK2qPNbDHknTUSY63K3a+xgZNGg671mnNqnXPCUm5ZJq2ehoqTyvDLNIwLdN19MYGTUr0xUtzseOarGkmXOUafUp0qFoMP8bURWd86jjRn+L9gE4wVhjt5tgO6oRnYs2XktfHK8zY5BzTSZpypuferyE5qojbuppEVKzxsroN9exeaslOnaYsLi3N2Yqr4gO709KhJdltyGc5GWdYLWy6Ru+N8DJr3rpw9i3UpI3sMj3ymSHDWp52reaonTK05Ml0ahYn0uWlZjKZ+kHhqXOTmAKpo/zanA0e8Ulx2LEPlgvwxMQ8cX++UY0Y7xoKr+xTWBwTFcb0F0VMqWgTopq6yvZ7yeHQG1xwlfllbtCzTUWI+eF9VAtjyISMw781mSsFTc2CmzS4j0+FnsPO9TEUsxbAQnYFHVuBaoN0k1Xq3HGJXAZuujRt9a7j9Gk7xakVdLK559vmqewSblsD44yFbKZuHFx3I3lGtOyQi7zuJbfTSPpopu3iFtjpToVcKnQhI27zSpE7tdxz76VCRCt20SAjVXCVNu/jutMZEcfPeES9QdNZwd3HZ0iOF3geVYGckEGFoFRFUd+beCx9iTp3KFHkcvkGPgEd+9o0NjlnF9wMEzLM8LjFs9ToEOBz9/fOEZwV+l86O5Ghpm1iCVxfBOam47R4faasw5DqtmSJ8e3gGOlsP2jMoZJ5fC6RLUTcey5HfndM9h60TtVtnS3Sp2JlFqvCKT9YI2nem08kaGU2qLD+Omv0Kbrx75ydglT63wZr9ChzH9/pjAzJuSRapscH+AQg2G6GCRM7jKNV8BobVGkzoGSbqhm3Q1DIR1+HUhyVOqcOPtqg9Qgd31lhlwusO7ZKmyprbABY04mBe1/UrSfJIxfBqzavWX/FVTZpUXcLZGdcZTLOkC0OqXlCm2tw202UqrmuUgc1uSYhHDVW1tepMrjSaJapUTFQ8KgmVBqHVgewTI8NLJ2PgM1wleuejLuDTLDqwrrqyYL+PC+wyaqDmAa74hQULqbo7xSlwRiUWPD7jG+eii3fBkBDknY4S4ls65aJzZJfJFZCTAHbEP3Pn++3/TGMOavkcMMY893ADwCnoyjq2ss+gtjUh8B3RlH0i0d4iA8cpxhxt1AiTA1Rg17xmZzQsd6BmhSUD12n5apqbeClkWEThVAmZBzNTKvgPLGIUYrQDXYIc2PkUGStbsv0aHDbVqtLVCw/W6EGbdSlmbhmqLq0JPFardhVOlY5xT73WeeC0+Ao0XeCWbpDUF6zToUqvKMNXN0RSAU+dIvGp7iKSgm0WKEZnmc4yNFbLLvq3y0UqZB6ueVgI4+Z45WLnJOPb5k1yanHPEM6VJ38bZG+q7DLdOlaDrf6harNXJ073OALHHdfmTi3eJYSfW7T4N5vnuHe2pjwjEd/UmKn6/PUmSYXWHfwkVILVZkxKCwRhNa0YnFGuDhgOknjpULuFU/GWtpFBCrpwl7lZFxhy4cSY9o35Vf00iP68j8OMU/chxPGmFXgP0NEU/Wyy8A3AV+IGG7+ijHm2bfxbnvs4jR9tjO+42ir6wvAa6w67nQSk67SQU1oAZeY01aEtU0NtQxL2xHsLhVUyEpDDBlSbguvSVMx3pAUI/J0qFnneGlYzmyK0+SZs2DhiJxVOcy5arRMz2pDt9xx59wiAj1LkbvAuuOBK06s1mz6WA1uH4BMclZXXA0ERLVQpkC1WZlnaIecVkX32iu5RDohTS4zdIYUiumDTHzq8WjopGmXihuQ0SGbkl188oycXIEsuENHwdQqXScrVZdEB4NSdpfRubRLye/Tn5REN8WXz3KDNVT//AIbbiGcIJK/97aqhMueTFB6Q+42z0FxLBK4g2xsJNElbkRmiT03AySxW4ZJ9Mqj+c4/FnGIdEBjzA8A/3dgCmwAfymKosBed2hF51FW3P8E+BvAzycu+xDwk1EUTYDbxph14MuA/+sIju9zCq2+FJ4QSEB8A8/bpuCEtBWMynCF645fnWPoeN5SoVdJansDLvkr3KIJRHFsEBhDq3ylJ6pO9wYXeM1yrRWTFrOFKiUGrLKJz33HfEiyP0RAK+0w+6EdpQGBFFSqtsl5d3/VN1HRpSJ9Z1g8QgxztemquLIO/agglzY3S/T5I/wGNxYvc2NymYmXdq+9Qo+M8/psO9ZNDjExUKhGdjYjC/F03dSjOKMLTFOl495fbfbq4tKn6BYT3V30LaykC+Aqm9zgMiPyXKitOzjL5z7DgjR7m7siKDUNM4Sex2VuuM9vSobF5R6TcZpwlmKYstrlQTZ2sNEfdffRoRulA24RV93qLPRejcPFuH8Z+EgURTNjzPcDHwG+57CLziNJ3MaYrwdej6Lo94wxyavOID7TGlv2srd6jG/GGm2eO3fuER3pu4+nucMGf9g1Cl/geTJ2sEONFZQbrdCHbvdvcNklGGFU1FgisM27Oh2qDq4ISaF6zatsOsglVvmLm3OCMQ8cBVDYLqK/odxlbcyNLJVO/A1l4VgiYMUO33SooWJVYWIxScIOorNSYYq678zcsJFyrlVwSYWulCvdtIJOIZ7OVzqce0qGqsWbcxnZRZyn6V5jErJQvFh1RkQP5I5j7CiLo0qbJufJMWKNdQexKOyj7/GKNQZusUKfEku2uZtsIF/hOhdYZ4M1LrDhBohEoqBIxmrFeIT4BeHBVz3hmw/tzkY/zzDjsZlZZUKGu69XZYjoxYUEREKMXyskco3YsV2V/4Do2JQ9n2McIsYdRdEvJf79OPBn7d+HWnQ+ssRtjPkVpEXy5vgo8LeAP/5Wd3uLy6K3uIwoij4GfAzg+eeff8vbHFX8Z/wGf5/vcQMoygKR0fGJw511crFH2TanKg5K0W39a6za5D3kAhvOTd5jZrfxyriIVQMVO1aBf8VQFT8WloYkp1U23bCHHOd9OxYj1LgSA2q0ucgtWtQdI0YTvsiTVt2Yur5mHfRRGqNHyA2+gLpVGgRcA1Cx/Bli6aYDLlrNS7UrOiyadLWpKRICA/oUKdmKOc/Iydrqc0hlXXPwSZopbaqEeHQpu74DSGM0aWoRa5akWLISA+pA5FuGjurBKEwmzc+Jm6yU6l8WXT0G7SfoRO0NLjvGjEokADDOiI72OpK0feJkrcJSqk/SRRK3jwzZvJchEo2ja07+ZeCn7N8PXHQ+jHhkiTuKoq95q8uNMVeA84BW22eB3zXGfBnyYlcTNz8L1mX1mMXf5fv5q/yQa2jpVl+FijR53eIiLeroJGWeofg6Wrx4ahkmKieqcqUdm4Tu2wSvutseoavqWtSpcwcVrAIsRl4+cKzKytDkowuNJPsld7tnucXLXHQQirrO5yyGnhw2UgqfYrbqQp80vtWpUqXr6Zi46k/L6/Is2FN2+uB3qKMKiTrpWbOSuW2q1OgcWDR7VCjTdc1MVWjUhUA1ZJYIWLcGy5qQlWnSpuYog207fJSUM6ha6p5W4LrDuOXeL49r4fupe1K5B6HPkrfuqIezxO/1nQtO8TDDFAa2nrHmyFwjTlRZYmd2dahfBpoQ3XkIX+TjEO8e464YY5ID/x+zhSDwzkVnFEU/b2/zUeRT+HG929sc2SOJQ4dKoii6DpY0DBhjmsDzURR1jTG/APyEMeYHEZzoGeC3D/sYH1b8CN/F9/D3nfOJVndSDUqiEtjDs3BCx0EigOMDr1jHleTWXeGKjIU+dHwcQL0l1ZFck69yjVO22afa3De47JKpwg06HJRjhErC9uyOoEabNFNu8azFgSUZ6n3+EP/JVut9N3GpifQcm84weUiOKRk3Nq87hiRs8CwiHXuLiw42UeMIGQBqu+nKEI+LiOeqMnYUfgJcw3JGLBerk5/qNlO2o+ha+W8imugt6g4e0nF8VUhUjrpU/33WLT9fH69jP+d+UMIrh1TokveGbvHR112nxXq4xjgoMS2OmI7TbAcl4WaPrWN7Fqmsk5AJicusX+cTk7Q13h2S3I2i6Pm3u/Ltik4NY8yHga8Dvjrh0n6oRedjxeOOoujTxpifBm4gq9m3HRdGydvF9/N3+X/z3xOScjrcm6xyH98yLdqUEjZi6piS5D9nLCOiZLleeTsw0uS8s9EaUOI25xNDJ5KAtUmmrBRlPOh04wjPGQ94zBz27DFy5gtJdUF57NhKK20hEa0YGxZzLtHn/VwjtEmyR8U1+K7yKTasw8sdS8vTcXMNYXV4bHIOj5A/zP9pKY9TR5VUCqVCNqJ72HZwgzb71ANU+eMXueUok8q9VonbBk08ZrSoO/MCFZUKSVG2etv6/nqEjhuuBgpJjn4/8fqm1vldFo6RY6U0OU9vUhYZ2qAg9wtKMu4OkrSLxGerut2ruNQ2Ao/YpmR0/fP7zh67OESoxBjzJ4DvAb4yiqJh4qpDLTqPPHFHUdR40//fC3zv0RzNo4l/wkf4r/hhMrZiltHmeEJPVQRHhBaHLSa0S57lIrecW4riyKqe17XyrgoBTC1DRLHYNjVW2bQVtjA0VMdbtUY0qUNsfCsc6AkeM6e3ndQ0ucA6q2zyCT7gRucBB9Fc5JZr/ikdUCCI+2SY0qBJgG/ZGPI1vMgt0kwYWAYKCL4tI/sjN3ik74OKNKkRgU/gjmNAiRtctmMxscuMaIFkUI73LS5SpmulbIWv3qfMBduoFKXEGDMvWyqlHrvuGsr06NgpyzQT18is0HPmGEqhlEGqWPag2W5IwraMkYWGdWUPFqTCHhOfqV3g14gx7ueQpL2OJO3NR/xlfhzjcDHuHwYywC9bqPfjURR9y2EXnUeeuJ+U+FG+nb/GD6ImCBPSNGm4ak11KgCH0eq0ZYu6a1hNLFdYx+QBq0lSd7zty9xw3GVlmahSnlaKJXtceUvK08al0BEHjv2StklW2CJVR3dT9oi6/ZTpWSph4F5zEitX2EF3EoqFfwkvOChBRbqUJvjmnoDCFHVabqAp1tIWhodKAOjipmJbSi+c2MUtDeTssdW547jcUytBoJTMDBP3Pouy4dQNCym8s8kSVdqs0KJDze1g1PpM7jOyu4ElPGZxwh7YXcYWzkpsb5Bj+alNtreeluu2EShknZgG2LRvchFJ7stPAHvk7WKfeCF7xBFF0do7XHdoReeJw3iSeUj8j/zX3OJZrnPFMSWUyaF6F13bAFOYRKl+2rAcUKJo4RB1ZhfYpOF42Vrh6qCIbNVF81kxYIUGtEoHrNC/55puyfFwhQI2uGA1tGsH+Nb6PNqUfJZbgEApE8uHVtXDpEGCLhiBnf5UFcTL3HCLgEIzkiRXrbRp2WHqZboH/DN1qEd3EUsEXOYGDZrU6LgdTp0Wl7lhR9qF+qjwSo+KY8Q0aVCxz6EwTZ6hxb5XaLHCAFVDLzlGkCor6uu7zvuY2oUlz5D9mScwyFiEogCLWy/Q61Xkf3W0UZ9IH7iEWJNV7GVbEP3cw/2uHruYvYuf90DMK+5Djn/Bt/KN/EtXCQOuwr1DnTvUHQtDLcB04KZrk0mbGnVr7Bvgs25H4mtWqa9tpyPV+kxNFZQCCDg1vCtcZ4bHS7aJp1xt1fD2ue8q2BJ912gUB3IfVfPTXQIID1mP7SUuH6Dl5WyVqkYQ/UTCUxqihxgXTzjvONl1Wk6wSkPFtyr0uMJ1Bzu1WHGwzjprJDXAdSq1bCt7HT2XAaS+G5ZRNojuUDQJK7ylDVtsIlaqoXL2FWu/wWWHoZfo06TBa6wy2C2xWAnYmZU5kZ3iLYfsrZ90Dca9QS4WkVJlv+eIPSM1AXUh+p1H+IU9DjHXKpnHYcRP8WG+lp9HzXg7NmlokgYcFVB521q1qS2WNvMCfO5Y7LZsE6xO++not1IGJbH0LMd7cIBjrdOQOoWophA+AfWwxS1PEpniu57lMOtxpZlwkZaDbHRM3bfDO03OO+aE8soVuw7wHb0RhEmijcE8I/4Iv4FqYKsMgGLuU8v/7lK2Kok9x8G+bo0rdDkA3ASq8tz1fdZdCeCw/Vs8S0jK0RPziepZdyYKHemxX+cKdyzPW3cu17nC1q1n+IKLv2tbl1NKBTl272zIcJATgahKJNojKWBrIWaJqDyrFYpywzU3n1BM+80xd8CZx2HFL/Ih/iQ/6xK1JuF48KXvtDOUqqaJT2ECvY1nK2flTPcRmzEdcwccVqxwSobegYakUuUUV9fHnpKm5PUde6RmWc3qkagWXz0qLnEKuS7nmnGDRCWuFayq5Gni1sp6hscGMYw4IW356C0qdN2uI4m7Jw2XPWaoj6Q2eRXaGVnoKGMXSKXzPc8tbtPgDnXu289AJzz1sbXS1rF4/cza1FzDskfF4ekKHIGYPADc3mlQW+w4GmZIirQ3obzY5ZXgMgt+n73ZSXlwrawD4sp7HScYRReiu5/XV/C9E3NZ13kcZvxvfAN/kp8lx9CZLjS4zbXw/WQ8oQDet0MZqg3SpWKFn+SjU3aIJgqtBit0LfNkSpWOS3ohKS5y3VXXKp+qrvQKrSj2nrNUQKmqp27LPyHjzG0VdrnFRQCrBNh2Ayw6kKLuNTpir8wY4bQLE2Zk26WaIKUSFid5lbdNytBqg1AXLDVqaFGnyXnWWEflcaekKdJHVflU8fA2DdTtRhuJKsCVZuqEwrSpqpotRfu7yfkDyTjZaA7w2en6UBxTW+zQD0u0B8LTz2SneKmQvgdZv8+4uwQpSwvumtgbUrVIZggWvg5R/9F/P49NzKGSeRx2/G98A3+a/8VVZ1MylLy+YMi7PpNChjp3nNmvJgSRdp04uVIVTdJte46R042GuBpN6nePyLmqWSvQJAzjc9/R9VTjO23ZHQE+TRrU7YyBNgRj+GSJPiXH69aGIGArc0mQLauVfZGXXWNRtVYUd9YmpQp3ZewwUIm+q/B1mEl2DSvu+NpUOccmq2xym4bTKdeEH+K5xKzvq4z037d0S2mYyuIg4zrSSF5yioLJ1x+EPnlPVP96u2WGyhqZeWy2V0ln5T1IpULSmSn9nSL3ts/EKn9FhDHSRKprrbx1tP0sRJ96qF/B90bME/c8Djv+Df8FAB/g193AC8BqQQBMnUpUippOBap3o05aesxYY8Phxyoq1bIUvA3WuMwNNriAKtotEThn9iWLX19ggwpd2tTcdYBLmjJaXnPj+jXalpGScjxwpb1d5wozO2iyxrrT+W6xQsc2WZVRo9ofI3K2So9hBX1PhrZxq6PzbaoELDEk5wSlFGOXinxErJLYQ4x6ew7fztkav0kDn4AKLZuQK7ZHMHKWZuoCf8dOt4Z4rLJJ12rNBKGP58nCONrNMQhKMPNYXO6x01xmf2sB/8vbjCZ5hoM8g63TkpSbxDh2lljhb91elkKSdhaif/uIvoTHOeYY9zyOMj7BV1IOX8fzQs5zOwGPlKnRYZNVZ2k2Ic3QDteo6NN5mo6rrPZkyqgQ9LnMOhecTKyyMDpUadgBk/M0HZygEISM06esfVqaG1x2TI/YTzNkjXUH+/jcp0bHYfeqq6LCSXXuOMhCxJYyDorQRUk1xwN8O2LecawWfW+UTqg2bWoS3KPMFa67HYFar6kWiuqNKOauC4rqlEvjNid+mHQcJ7xNzQlPad9AIZ6pl+HV1xsU/T6zmfWFBJmATImlWKddY3+chu5C7Liu5r4D4CeBBnH1nULw7CeVo/0gMce453HU0fPOUOU17uPLzF+Yx/NCJyIV2FF5bSh2qDqqnU4FKl9adTmqtNnknBv9hh55RnSp0KHqHMwnpPkAv82AkqO3lemSs1OUWvWuc0Eaa3YHUKN9gGutbBmVrVX4pk/RKSGuWEO3W1w8MKCTZ+iYJ6GtclUbW7S7Rc866VjTYoUUovUtYlP36VClR9k5/yRlbru26aoDPUs2ASf518oxV1EvbeSqD2eV9oHRdrBqh4Msw1RIudZj3F3iRHHIZBzfbv9mIeZfbyPJ+kWEn+0DqqCh+tpA9MsP69v1Ho05xj2PxyE6nCO3UwRgvH0KsnvknxraKlAqzB5lJ1SlzbehbdCpw45Wy1MyZJiwxgZq8qt6G8pHFlfzFNe46hKYMjBCUq45qZOA6rSjFe+69VlcY4OrfIqUXThUc/sWz1qKnFTcSSOHddYQ5xtpUKpBQZOGa25qw1V7AVe4zgotApbskHkan8DuDUIH52xa5yF1ip+StovGHW7xLM/zSWv3NqPBbbp2yGlChgtsMLPPn2FKl4qzn1O9btVpydmew6k12TH1d4qcvrApMNCOz17XxGfbNaSqTrqvF+3fanqwLpc/8YM1DxLzxD2PxyVGi6cAME1gtsBme5Vqrc00zIAXmyeoUJXqSWtluck51IWmTc09rsIKL/OsS/I6xTgk5yr4y9ygTA9V8UtOLiptUWl5aoo8IueSseqgTMlYPDjlGoJpJg6m0TH8PiWnbyLO6C1XBXft0I3y0VU3RA0pdBqxStvpsFzkFq/ZpmNy0rLOHecyBLhmow4QSeMz46r186TpUmGNddfoVfhJGqEZp1OeY0jJ67smZBgK0p5KhbC8B6kQutnYF1JniWYIhr1t/1+Ty+ZJ+wEj4tBG3h+XmCfuxzyiLwLzadifeXTaNfLFIa9uXaJVqbNaluZll4rTg1bNj4AlRuSc6a74Q47Q0fUifaeBoo08qYb7ripWyy69vzInlOnRo8xVrlkcuE3ZDvekbHKu0HPYsi4iyltPYtczPFdply0kcYPLLtHLoE0sA6CCWgJpDJxNmzZHFTqSSdKRw9F151Cyr71Cj4GlBa6y6Zq+qjGuQ0GalPOMLLum6vRMlGVzmwYXeZkeFfxKQNqbsP3qKqRCTqRCmCVONW1IzpAKewtJ2mtABaLvAr7rkX+13lvxWFmpPPqYJ+5jENEXAmQxn4RBqgDrsLd8ks7VKsNBnv1xmvApz0EM6kZzH9+2JKVyHpFzMEieEc9yy94+5yh+iu3e4qITk/IJrC6J56AK9XLUUXWt9BVbL1pUW+l6+rhiRpBxPG9NgAE+G6yhprmKi+tvHRBKW8w5x5AaHYf1K5Qzsik2ZxO2VvSSYGWnoIkZ4Dx91zDVpqfi1+pcr1rfSm2cWOXGIXlHJTzHpmP3hDOP7eZ5mYIMFthPIcm6uBBj2gBXkf8vIVOQ/+SRfo3m8R6KeeI+RhF9CZifQk72NRhsV6xIEbw6vsSptddZ8gI3gag63EkfygwTNll1idUnoEON+/hOTrVD1WK7RUI8y48uUmJg0WRJdJLYR/wGf9hV0qrit2kt15I2ZoBbADxmhKRocJs0UwdnTEi7ZC7j5K9xnfc5eAYEqlDBJ0nMsdmwSgcoK0UTtcqtpmwzs+ZgGDG20EQujd8BNzhHxWqMzPDc8aswl2LdI/JugVTRsJ2uD6mZQCGBTdZN4GuQ6lqVALMIV3sA0f/6qL8983gvxTxxH7OIvlF++5NtdprWXcn6DE7PphkW8m5g5cbkMsNMnqTpgCr9gcIVS85AV5kdE6vdob6KgMV+Zbze574bsAlJObxbeeaS/Gu8zEU3hFOz4+U+ATe47BgvymoBrDPPiOtcceJRWu2qUJY6v6sGSzsxPKMVtj6XugRpo1J3C4AztVC2jmL34gQkO5DY6LiDmlDodKom+iF5lqw2TIqQHEMWslP2ghKsG0nMmqSTlfaLwG/Oednz+NxinriPaQSZZcyMg4wEGw7WCEqENYFQhuTpUaFjG5UKCyTFkpSWp241baqcp8kIUSdUb0z1x+xRoUmJW1x0TjxTqy3Sp0TbGgv0rDGDekIqNqyDLV0qVCypWZ0klc2hxzpBTHVVECpn6YzaVA1YIm/hGxV40vvra6xzhx5lm2Bjc+B11sgwcQJUakU2JEedOw5eirW8pw6OUkcbre7v47M3TsPMyIKq4+oVpNK+ihu2mSfthxVP3gTOPHEf4xDsG8w6UIHB1mk2GyE7WzVONVrki0PHplAKYXICsUuZNTYsmTDtmpNlS7sLSfEprpJnxAf4hBtJD1iiR9kZIICo7YnF2pKjJWo126XsJjjv2Iao6ngDDqtW+p4yPlQbRRunioWLqUSRETles7dXd6E6dxBp2qqDUJ7lFiM7Fu9znwZNh0frser/VTt9uWJZLXq5ugBNLEtGb+cjBsPyXmS4+8lzsW72MpKkU8QJvAvRP3zoX4UnPJ48PuA8cb8HIvpT8tv8Kux0l2EMw0qOVEoYJL3dEmFBBkdaYZ1722WyxSGZ7JR+pmQnG4uuQhWbrxXn9qLNyjVrVxZazFchDGVpKNtDE+Z9fKbWRCHWDpGJxbIdAspYgSlVJcwxdEYRS5ZjrlxxDR1vz1k7sxJ9N8jTpOHgHHXG0R2DaqUkNVzEMadr/864HYXqkuvUqk5jgiR1nfrUYZ7+pMTOVk0gER2wGdu/bU6JfuDRfP7zmFfc8zjGEX21/Da/BePuEtnKfe6+ugI3Fxg8V6Lo9xmsiz5G6rk+/aDEjdRlMmXR4Ih5zGVG5MkwJcfIiSmp8p7amSnsoJohSiPUxB271U8cf1xdzVW3+wLrromaZ0iKkAElB4Uodp5naJOkMDpUr1uhEknUIzdZqXhzjiEvc5E2NXqUucAGTRpWG0UwcJ2OVEZMn6Kr8BU6Uq9QcfRJu8UgYImtVxtC92ua+MOw1TXbEP33h/QFeGJjXnHP4z0Q0ZcDGNK9VMwfvpllUMnKJz6zjJTshP1ugXV/jYZ3mzp3GJJzeuAQqxDqsE+D24hRg5g8iOb3IKFp4rmqW7VA1PzgDnVr2CAqhQo3pO0sokq+JjVIxDn+NlWLJVfs8A3AbRrOhDhjJWI9PHpUaFF3Sopazfcp0aRBlTYT0nSoOsu3NTZYZdOxbjpUE+7tHmo2rGyXpJAVzYVYCArkb6voN0/ahxGHV3EbY/4h8CHE6bID/D+jKGrZ6z4C/BVEOeU7oyj6xUd1HPPE/R6OafkklMH8GvH2XYc+xgYGksjv3TxD+gsnrnKehhlxZdk+xQ3/MvnikJVCy4k+aSJWo4GAJUfD2+ACr7HKNMyw5q1TRCRqN7hAmxozPOrcIc+Qq1yjTdU5zKg2SM02OTVhvsxFVwGrCJRAL+edyNWUtBuSUZrfgBJVOg7iqNrpSH2eLhX6FFF5WaE+Zhw0NCTPReuduc4FOu0aqzVhwAzDPPe2y/IeBsjwzFmZjozOZN/8UczjkcahQiU/EEXR3wEwxnwn8N8CXvwjzAAADkFJREFU32KMuQx8E/CFQB34FWPMs4/K6X2euJ+AiP6K/DY/QlwNqmN4AFRg++bTbFeePmhaO4b9oMBkLaSXrZDxpg4HVsW/OnfwmDnxqB5ll+BUMlXkVJuuAarj+v+JP0SZLik7UakDRDq4s8mqw6OVASIJVR65Q5UJGVbt8EvRQhttarzMs7SpcZVPCc5P2RpJePj4TG3F3ZrUqWdaTglQB35avTpeakZ7sRq/hkqG3m6ZV4MGC9kpvJiVxbAo7+PC8kgWy3kcckRgjUAe+TNF0RuJfwvEM5sfAn4yiqIJcNsYsw58GfBIdB3nifsJiuivym/zjxGXcJBEHdjfOhjiAw1YaLzB3pYkouEgR3ex7BqYE9KOvaFxe6fBdJzBr4iruiZghSou8xIA6gGpmLGOojdoOpxZm4SKh8eO9hXU41JxeU3K9/FZInAJvWadeZS616XseOJpJmzurBLOUrz04hez0HiDcrlLjwpD8uxtn2QvgFfOllhc7hHOPAbN0/JCA9gLbKU9gOjD+g7Mk/bRxLvGuCvGmBcS/38siqKPPeidjTHfC/xFYAf4Y/biM8DHEzfbspc9kpgn7icwov9GfpufR5TqUohanX4bsvKz1z0pjuPdk1B5Q7Q3gOWnNpmGGe6MS/iFwKbXFONrp2BZ8tn12hU+wCccrqxQSp4hI6tKCHCHupt03ODCgaSbZ0Sbqm0xrqJu7Do0pJBJ19ok5K0WuE6LDslx38IigBuLDyY+IA1cbhrYgr3ZSbbHaU6kQva3ClJFD4DmAjuzGmyb2I1mgNiHffSRfkzzeOB411BJN4qi59/uSmPMryBkzjfHR6Mo+vkoij4KfNRi2t8O/F3AvMXtH5mCyjxxP8ERfQjZ4AHmryPYt1bgW0gyXwa6sDc+aYd99sQMoFsAYHbWw18MuLux6hqf+4M8k1qGT/F+R60Ta4SZq5BneM5ZvkfZGUK0WAGwoliiLqgMkhtcdgbKt+xUZtKa7aXXL3P6TMfqg4tiYRjKIFLJ71PzpMFZyvTZuvWMwBx2kaILzLL4H3ydANh/sRCb9L5o5D3pxovePB6neLiskiiKvuYBb/oTwL9HEvcWJMZ45WxqPbSDelMcWeI2xnwHslrNgH8fRdHfsJcfWmd2HnEkOcbmryNJ7SuImRJjJIkPFtj3F+TvMYyDEoNUCFsmNgd4zkjC9Eq2wg7dpGSfNDlGlBg4qETdZ3QCUlgsodNYEcGoortt3k5xiq7JiGa7gZcSE4O7r1fxzogG9ri75AaRwpmMsNe8Nq12XRL1NQQW0ip6C+6Nz8S11nIEgXE0y3k8rnGorJJnoih6xf779YioAcAvAD9hjPlBpDn5DPDbj+o4jiRxG2P+GFLrvS+KookxpmovP9TO7DzeOg4k8R9BkpytpvHt72v2Bo0Fhtm8VK3P2dvOoOQJnVDd3UVW1bOGDZ77AWhbvZIm553y3zpr1rRh4pxuMkwo2WZmniH9UFgtJb9PKdOnm5ox7i6xvXGe4nKXE8Uh/aAkI+jbwqCZrqXZXxeFRQLsYkTMuwbYUtz6rXa/83j84lB53N9njLmI0AFfBb4FIIqiTxtjfhq4YQ/m2x5l3jqqivtbge+zHViiKOrYyw+1MzuPzx7a0AQwP2T/GCMiSSnARzwUNbGfjSA7cb6X6i6zwQUn8VqnZd1jxO9dJV17u2VWCi1njpxhQosV8ozsmHvJ6YYATMfC056MM0zGafLFEeOgBIMFBuunyTbuMd46BdnINRIHg9NyrFkEClKNl2COWR/fOLyKO4qiP/MO130v8L2HcRxHlbifBf6w7c6Oge+Oouh3eBedWWPMNwPfDHDu3LlHe7TzAKzAv8Y3gvmnCA7cXZDLxkDKwDjLdvA02/6Y2RmpqnUsfmplW3VyEcQIYrSbY9D1eWW7wukLm07be8nytgUfF9lXGXcfkiuM6O8UyWQnDNZPM13ehcGCLCoBjINTkrCDhG2YuqnP3vR65nGMYz45+dDinTqz9nmXgA8CXwr8tDHmad5FZ9bSdz4G8Pzzzz9h/hePR0Tf9gcvM/+MGFIpZnmFizx9ZoOXdy8CcLlww2mKbO6uMpt51BY7lAp9Bl2fE8Uhd19dYbqcJp8ZOsMC1URJEXKLi/TaZdLZiVTYyHPuj9Oie63JeWCPA9uIncd7NOZaJQ8t3qkza4z5VuBnoyiKgN82xuwTC18eWmd2Hg8/dNgnjizwhVAQDZXXvnyVNjWG5Bl8/DQMoP1HwV8MyPqCi4/HaXa6Pt5ySNqbMNgtMRlnCGce6eyETHbK/s0CY4TZgo9AHV+yAE8Bf+qQXuw8HqOYV9yHEf8G+Crg14wxzwJppDV0qJ3ZeRxuiIbK0/EFjq1xSn4W7b+LAAs4lKxgf9w/wFc+uuOcx3GLecV9WPFjwI8ZY14EpsCHbfV9qJ3ZecxjHu+FmCfuQ4koiqbAX3ib6w6tMzuPeczjvRD7HJZWyeMS88nJecxjHsc85qySecxjHvM4ZjGHSuYxj3nM45jFvOKexzzmMY9jFvOKex7zmMc8jlnMK+55zGMe8zhmMa+45zGPeczjmMWTV3EbmXs53mGMuYtILL6bqBALeR51zI/lrWN+LG8dx/1Ynoqi6PTDOgBjzH+wx/Gg0Y2i6E88rOc/inhPJO7PJYwxL7yTfdFhxvxY3jrmx/LWMT+WeZw46gOYxzzmMY95vLuYJ+55zGMe8zhm8SQn7o8d9QEkYn4sbx3zY3nrmB/LEx5PLMY9j3nMYx7HNZ7kinse85jHPI5lzBP3POYxj3kcs3giE7cx5juMMbeMMZ82xvyjxOUfMcas2+u+9hCP57uNMZExppK47FCPxRjzA8aYm8aY3zfG/Jwxxj+qY7HP+Sfs860bY/7mYTynfd5VY8x/NMa8ZL8f32UvP2WM+WVjzCv299IhHpNnjPmUMebfHeWxGGN8Y8zP2O/JS8aY/9tRvi9PdERR9ET9AH8M+BUgY/+v2t+Xgd8DMsB5YAPwDuF4VoFfRAaIKkd1LMAfB1L27+8Hvv8Ij8Wzz/M0Ymv3e8DlQ/p+rABfbP8uAS/b9+AfAX/TXv439f05pGP6r4GfAP6d/f9IjgX4l8B/Zf9OI26fR/a+PMk/T2LF/a3A90VRNAGIoqhjL/8Q8JNRFE2iKLoNrANfdgjH80+Av8FBN/tDP5Yoin4piiKdG/44YtR8JMdiH389iqLPROKW9JP2OB55RFF0J4qi37V/94GXEPPLDyGJC/v7Tx/G8RhjziL2xz+auPjQj8UYcxL4I8A/A3GxiqIoOIpjmceTCZU8C/xhY8wnjDG/boz5Unv5GWAzcbstnFvtowljzNcDr0dR9HtvuurQj+VN8ZeB//0Ij+WoXz8AxpgG8H7gE0AtiqI7IMkdqB7SYfwPyMK+n7jsKI7laeAu8M8tbPOjxpjCER3LEx/vSZEpY8yvAMtvcdVHkde8BHwQ+FLgp40xTwPmLW7/eXMlP8ux/C0EovgDdzvsY4mi6OftbT6KKPb8+KM8ls8SR/GcBw/AmCLwr4H/VxRFbxjzVof0yI/h64BOFEWfNMb80UM/gIORAr4Y+I4oij5hjPkhBBqZxxHEezJxR1H0NW93nTHmW4GfjQSU+21jzD4iULOF4M0aZ4HWozoWY8wVBDP+PZsUzgK/a4z5ssM+lsQxfRj4OuCr7fvDozqWzxJH8ZwujDELSNL+8SiKftZe3DbGrERRdMcYswJ03v4RHlp8OfD1xpg/CWSBk8aYf3VEx7IFbEVR9An7/88gifsojuWJjycRKvk3wFcBGGOeRZosXeAXgG8yxmSMMeeBZ4DfflQHEUXR9SiKqlEUNaIoaiAnxhdHUbR92McCwuIAvgf4+iiKhomrDv1YgN8BnjHGnDfGpIFvssfxyMPIKvrPgJeiKPrBxFW/AHzY/v1h4Ocf9bFEUfSRKIrO2u/HNwH/RxRFf+GIjmUb2DTGXLQXfTVw4yiOZR7v0Yr7s8SPAT9mjHkRmAIfttXlp40xP418GWfAt0VRFB7FAUZRdBTH8sMIc+SX7Q7g41EUfctRHEsURTNjzLcjbBsP+LEoij79KJ8zEV8O/D+A68aYa/ayvwV8HwKr/RXgNeDPHdLxvFUc1bF8B/DjdjH9DPCXkOLvcXlfnpiYj7zPYx7zmMcxiycRKpnHPOYxj2Md88Q9j3nMYx7HLOaJex7zmMc8jlnME/c85jGPeRyzmCfuecxjHvM4ZjFP3POYxzzmccxinrjncSRhjGkYY0YJrvTDfvwfN8bcM8b82Ufx+POYx1HGPHHP4yhjI4qiq4/igaMo+vMc0rTlPOZx2DFP3PN46GGM+VJryJA1xhSsIcFzn+U+DSvQ/6PGmBdtxfw1xpjfsiL9X2Zv9/eMMf/SGPNLxpimMeYbjDH/yBhz3RjzH6zOyDzm8Z6OeeKex0OPKIp+B6l2/ztEaP9fRVH04gPcdQ34IeB9wCXgvwS+AvhuZOxc4wKiUf0h4F8B/zGKoivAyF4+j3m8p+NJ1CqZx+HEP0DEosbAdz7gfW5HUXQdwBjzaeBXoyiKjDHXgUbidv97FEV79nIP+A/28jffbh7zeE/GvOKex6OKU0ARsf/KPuB9Jom/9xP/73OwyFD3on1gLyFB++bbzWMe78mYJ+55PKr4GPB3EEOG7z/iY5nHPN5TMa9O5vHQwxjzF4FZFEU/YYzxgP9kjPmqKIr+j6M+tnnM470Qc1nXeRxJWD/HfxdF0TuyTT7P5/gX9jl+5lE9xzzmcRQxh0rmcVQRAouPcgAH+EqkOTqPebynYl5xz2Me85jHMYt5xT2PecxjHscs5ol7HvOYxzyOWcwT9zzmMY95HLOYJ+55zGMe8zhm8f8HpWjX+VhnkkQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "l = 1.49e-3\n",
    "mcd = ParaxialMICADO(n=3001, m=3001, dpix=50)\n",
    "wfe = WavefrontError(mcd.n, mcd.m)\n",
    "\n",
    "_, x3, y3 = mcd.propagate(l=l,surface=4, zoom=False, show=False, \n",
    "                            print_progress=False)\n",
    "wfe_p1 = ADC_surfaces(x3,y3)\n",
    "# wfe_p1.generate_ADC_wfe(zernRMS=20e-6, psdRMS=15e-6)\n",
    "wfe_p1.generate_ADC_wfe(zernRMS=10e-6, psdRMS=5e-6)\n",
    "\n",
    "mask = np.sqrt(wfe_p1.xz**2 + wfe_p1.yz**2) > 1\n",
    "\n",
    "surf_p1 = wfe_p1.latest_surface.copy()\n",
    "surf_p1[mask]=np.nan\n",
    "figp1, axp1 = plot_real_valued_results(surf_p1[850:2150,850:2150]*1e6, x3[850:2150,850:2150], y3[850:2150,850:2150],\n",
    "        colormap='jet', labeltext='Surface height (nm)', fig_size=None, show=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "07a53a6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy import interpolate\n",
    "# Get the coordinates of the Focal Plane that we want to add a WFE to.\n",
    "_, xfp, yfp = mcd.propagate(l=l,surface=1, zoom=True, show=False, \n",
    "                            print_progress=False)\n",
    "\n",
    "surf_og = wfe_p1.latest_surface.copy()\n",
    "surf_og_ip = interpolate.interp2d(x3[0,:].real, y3[:,0].real, surf_og, \n",
    "                                  kind='cubic')\n",
    "\n",
    "fp_wfe = surf_og_ip(xfp[0,:].real, yfp[:,0].real)\n",
    "\n",
    "figp1, axp1 = plot_real_valued_results(surf_p1[850:2150,850:2150]*1e6, x3[850:2150,850:2150], y3[850:2150,850:2150],\n",
    "        colormap='jet', labeltext='Surface height (nm)', fig_size=None, show=False)\n",
    "plt.show()\n",
    "\n",
    "figp2, axp2 = plot_real_valued_results(fp_wfe*1e6, xfp, yfp,\n",
    "        colormap='jet', labeltext='Surface height (nm)', fig_size=None, show=False)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7886cc59",
   "metadata": {},
   "source": [
    "Unfortunately, this does not contain any information on the phase and PSD distribution anymore. So we need to return to the original functions to try approach #2."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1704d14a",
   "metadata": {},
   "source": [
    "## Method #2: Rebuild the PSD function and use the phase information\n",
    "\n",
    "If we assume that we want to obtain a small window of the original WFE, which covers the full plane. This small window has a diameter $d$ and the full plane has a diameter $D$. \n",
    "\n",
    "Also, the PSD curve should in principle be space invariant, where only the range of spatial frequencies that are sampled change. Based on this, we can say that we keep our original expression of the PSD, but change the spatial frequencies with the change in size. So,\n",
    "\n",
    "$$\n",
    "u' = \\left(\\frac{d}{D}\\right) u \\\\\n",
    "v' = \\left(\\frac{d}{D}\\right) v\n",
    "$$\n",
    "\n",
    "and to keep things consistent, we should also scale the cut-off frequency $\\rho_c$ with the same factor, \n",
    "\n",
    "$$\n",
    "\\rho_c' = \\left(\\frac{d}{D}\\right) \\rho_c\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7ad57761",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pyfftw\n",
    "import types\n",
    "from math import ceil\n",
    "from scipy.special import factorial, j1\n",
    "\n",
    "def power_spectral_density(s0, p, rho_c, dx, dy, A, m=1001, n=1001):\n",
    "    # Lorentzian equation used as PSD function\n",
    "    UmList = [(M - ( m + 1) / 2) / (m * dx) for M in range(m)]\n",
    "    VnList = [(N - ( n + 1) / 2) / (n * dy) for N in range(n)]\n",
    "    VnList, UmList = np.meshgrid(UmList, VnList)\n",
    "\n",
    "    _rho_mn_list = np.sqrt(UmList**2 + VnList**2)\n",
    "    _h0list = 1 / ( 1 + np.power( ( _rho_mn_list / rho_c ), p) )\n",
    "    _h0_norm = np.sum(_h0list)\n",
    "    _rho_mn_list = np.asarray(_rho_mn_list).reshape(m,n)\n",
    "\n",
    "    _PSD = (s0**2 * A) / (_h0_norm * (1 + np.power((_rho_mn_list/rho_c), p)))\n",
    "    PSD2D = _PSD\n",
    "\n",
    "    return _PSD, _rho_mn_list\n",
    "\n",
    "\n",
    "def phase_map(phase, m=1001, n=1001):\n",
    "    # Uniform distribution of the phase\n",
    "    _phase_in\t \t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _phase_in[:] \t\t= phase\n",
    "    _phase_out\t \t\t= pyfftw.empty_aligned((n, m), dtype='complex128')\n",
    "    _FFTW_Obj \t \t\t= pyfftw.FFTW( _phase_in, _phase_out, axes=(0,1), direction='FFTW_FORWARD', threads=6, flags=('FFTW_ESTIMATE',))\n",
    "    _FFTW_Obj()\n",
    "    _phaseAngle \t\t= np.angle(_phase_out)\n",
    "    return _phaseAngle\n",
    "\n",
    "\n",
    "def generate_height_map(s0, p, rho_c, m=1001, n=1001):\n",
    "    '''\n",
    "    This function generates a surface height distribution based\n",
    "    on a Lorentzian PSD profile. Following the paper by E. Sidick (2009).\n",
    "\n",
    "    2020-01-20: Removed \"mean=1e-4\" from function def. --> Did this do anything?\n",
    "    '''\n",
    "\n",
    "    # Calculation of the necessary constants\n",
    "    _dx \t\t\t\t= 1 / m\n",
    "    _dy \t\t\t\t= 1 / n\n",
    "    _A \t\t\t\t\t= (m * _dx) * (n * _dy)\n",
    "    _phase \t\t\t\t= np.random.uniform(0,1,(n,m))\n",
    "\n",
    "    # Calculating the PSD and phase\n",
    "    _PSD, _rho_mn_list \t= power_spectral_density(s0, p, rho_c, _dx, _dy, _A)\n",
    "    _phiMap \t\t\t= phase_map(_phase)\n",
    "\n",
    "    # Shifting the coordinates for the FFT\n",
    "    _PSD \t\t\t\t= np.fft.ifftshift(_PSD)\n",
    "\n",
    "    # Doing the fourier transform\n",
    "    _in\t \t\t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _in[:] \t\t\t\t= np.exp( 1j * _phiMap) * np.sqrt(_A * np.abs(_PSD))\n",
    "    _out\t \t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _FFTW_Obj \t \t\t= pyfftw.FFTW( _in, _out, axes=(0,1), direction='FFTW_BACKWARD', threads=6, flags=('FFTW_ESTIMATE',))\n",
    "    _FFTW_Obj()\t\n",
    "\n",
    "    # The final height distribution\n",
    "    _hMap \t\t\t\t= 1 / ( _dx * _dy ) * _out\n",
    "    data = _hMap.real\n",
    "    rms \t\t\t= np.sqrt(np.mean(np.asarray(data)**2))\n",
    "    ptv \t\t\t= np.abs(np.max(data)) + np.abs(np.min(data))\n",
    "    return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "886e3a48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1.93633170e-05 2.10425308e-05 2.77771267e-05 ... 1.44274571e-05\n",
      "  2.27325109e-05 2.23404535e-05]\n",
      " [1.91990992e-05 3.48035221e-05 3.07693450e-05 ... 2.45813303e-05\n",
      "  2.74385316e-05 3.09157219e-05]\n",
      " [3.95044135e-05 3.58946453e-05 3.75796845e-05 ... 1.44757173e-05\n",
      "  2.79688859e-05 3.20674296e-05]\n",
      " ...\n",
      " [1.26774660e-05 1.01140328e-05 2.02602288e-05 ... 1.63181162e-05\n",
      "  7.44747354e-06 1.35122524e-05]\n",
      " [1.02753006e-05 1.66528385e-06 7.30292121e-06 ... 7.90939382e-08\n",
      "  2.18146860e-06 5.33645131e-06]\n",
      " [2.51955094e-05 1.47003151e-05 2.25325249e-05 ... 1.68272061e-05\n",
      "  5.81322513e-06 2.11535448e-05]]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hsurf = generate_height_map(15e-6, 2, 1)\n",
    "print(hsurf)\n",
    "plt.figure()\n",
    "plt.imshow(hsurf, cmap='jet')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "83c177ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_height_map_ip(s0, p, rho_c, xy_og, xy_new, m=1001, n=1001, phase=None):\n",
    "    '''\n",
    "    This function generates a surface height distribution based\n",
    "    on a Lorentzian PSD profile. Following the paper by E. Sidick (2009).\n",
    "\n",
    "    2020-01-20: Removed \"mean=1e-4\" from function def. --> Did this do anything?\n",
    "    '''\n",
    "    # Normalise coordinates\n",
    "    xog, yog = xy_og\n",
    "    xn, yn = xy_new\n",
    "    xnorm = xog/xog.max()\n",
    "    ynorm = yog/yog.max()\n",
    "    xwin = xn/xog.max()\n",
    "    ywin = yn/yog.max()\n",
    "    scale = (xwin.real.max() - xwin.real.min())/(xnorm.real.max() - xnorm.real.min())\n",
    "    \n",
    "    # Calculation of the necessary constants\n",
    "    _dx \t\t\t\t= 1 / m\n",
    "    _dy \t\t\t\t= 1 / n\n",
    "    _A \t\t\t\t\t= (m * _dx) * (n * _dy)\n",
    "    \n",
    "    if phase is None:\n",
    "        _phase \t\t\t\t= np.random.uniform(0,1,(n,m))\n",
    "    else:\n",
    "        _phase = phase\n",
    "    \n",
    "    # Interpolation of the phase info\n",
    "#     _phase_ip = interpolate.interp2d(xnorm[0,:].real, ynorm[:,0].real, _phase, kind='cubic')\n",
    "    _phase_ip = interpolate.RectBivariateSpline(ynorm[:,0].real, xnorm[0,:].real, _phase, kx=5, ky=5)\n",
    "#     _phase_window = _phase_ip(xwin[0,:].real, ywin[:,0].real)\n",
    "    _phase_window = _phase_ip(ywin[:,0].real, xwin[0,:].real)\n",
    "\n",
    "    # Calculating the PSD and phase\n",
    "    _PSD, _rho_mn_list \t= power_spectral_density(s0, p, rho_c, _dx, _dy, _A, m=m, n=n)\n",
    "    _phiMap \t\t\t= phase_map(_phase, m=m, n=n)\n",
    "\n",
    "    # Shifting the coordinates for the FFT\n",
    "    _PSD \t\t\t\t= np.fft.ifftshift(_PSD)\n",
    "    \n",
    "    # Doing the fourier transform\n",
    "    _in\t \t\t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _in[:] \t\t\t\t= np.exp( 1j * _phiMap) * np.sqrt(_A * np.abs(_PSD))\n",
    "    _out\t \t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _FFTW_Obj \t \t\t= pyfftw.FFTW( _in, _out, axes=(0,1), direction='FFTW_BACKWARD', threads=6, flags=('FFTW_ESTIMATE',))\n",
    "    _FFTW_Obj()\t    \n",
    "    \n",
    "    # The final height distribution\n",
    "    _hMap \t\t\t\t= 1 / ( _dx * _dy ) * _out\n",
    "    data = _hMap.real\n",
    "    rms \t\t\t= np.sqrt(np.mean(np.asarray(data)**2))\n",
    "    ptv \t\t\t= np.abs(np.max(data)) + np.abs(np.min(data))\n",
    "    \n",
    "    # Now the smaller window\n",
    "    # Calculating the PSD and phase for the window\n",
    "    s0window = rms # The rms based on the window of the original data.\n",
    "    print(s0window)\n",
    "    _PSDw, _rho_mn_listw \t= power_spectral_density(s0window, p, rho_c, _dx, _dy, _A, m=m, n=n)\n",
    "    # Calculating the scaled phase\n",
    "    _phiMap_window  \t= phase_map(_phase_window, m=m, n=n)\n",
    "\n",
    "    # Shifting the coordinates for the FFT\n",
    "    _PSDw = np.fft.ifftshift(_PSDw)\n",
    "    \n",
    "    # Doing the fourier transform of the window\n",
    "    _inw\t \t\t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _inw[:] \t\t\t\t= np.exp( 1j * _phiMap_window) * np.sqrt(_A * np.abs(_PSD))\n",
    "    _outw\t \t\t\t= pyfftw.empty_aligned((n,m), dtype='complex128')\n",
    "    _FFTW_Objw \t \t\t= pyfftw.FFTW( _inw, _outw, axes=(0,1), direction='FFTW_BACKWARD', threads=6, flags=('FFTW_ESTIMATE',))\n",
    "    _FFTW_Objw()\t\n",
    "\n",
    "    _hMapw \t\t\t\t= 1 / ( _dx * _dy ) * _outw\n",
    "    dataw = _hMapw.real\n",
    "    rmsw \t\t\t= np.sqrt(np.mean(np.asarray(dataw)**2))\n",
    "    ptvw \t\t\t= np.abs(np.max(dataw)) + np.abs(np.min(dataw))\n",
    "    print(rmsw)\n",
    "    _hMap_ip = interpolate.interp2d(xnorm[0,:].real, ynorm[:,0].real, data, kind='cubic')\n",
    "    dataip = _hMap_ip(xwin[0,:].real, ywin[:,0].real)\n",
    "    \n",
    "    return data, dataw, dataip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "ee230029",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.4733511996914156e-05\n",
      "2.4733511996914153e-05\n",
      "2.4733511996914156e-05\n",
      "2.473351199691415e-05\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.close('all')\n",
    "xy3 = (x3, y3)\n",
    "xyfp = (xfp, yfp)\n",
    "\n",
    "xfp2 = xfp + 1e-2 * xfp.max()\n",
    "yfp2 = yfp\n",
    "xyfp2 = (xfp2, yfp2)\n",
    "\n",
    "x3n = x3 / x3.max()\n",
    "y3n = y3 / y3.max()\n",
    "\n",
    "# phasegen2 = np.random.uniform(0,1,x3.shape)\n",
    "# phasegen = np.random.normal(0,1,x3.shape)\n",
    "d, dw, dip = generate_height_map_ip(25e-6, 2, 1, xy3, xyfp, m=3001, n=3001, phase=phasegen2)\n",
    "d2,dw2, dip2 = generate_height_map_ip(25e-6, 2, 1, xy3, xyfp2, m=3001, n=3001, phase=phasegen2)\n",
    "\n",
    "fig, axes = plt.subplots(ncols=3, nrows=2, sharex=True, sharey=True, figsize=(8,8))\n",
    "axes[0,0].imshow(d, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[0,1].imshow(dw, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[0,2].imshow(dip, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,0].imshow(d2, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,1].imshow(dw2, cmap='jet', extent=[xfp2.min(), xfp2.max(), yfp2.min(), yfp2.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,2].imshow(dip2, cmap='jet', extent=[xfp2.min(), xfp2.max(), yfp2.min(), yfp2.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[0,0].set_xlim([xfp.min(),xfp.max()])\n",
    "axes[0,0].set_ylim([yfp.min(),yfp.max()])\n",
    "axes[1,0].set_xlim([xfp.min(),xfp.max()])\n",
    "axes[1,0].set_ylim([yfp.min(),yfp.max()])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53a03cce",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "6289acab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.4840107198148489e-05\n",
      "1.4840107198148484e-05\n",
      "1.484010719814849e-05\n"
     ]
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, nrows=2, sharex=True, sharey=True, figsize=(10,8))\n",
    "axes[0,0].imshow(d, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[0,1].imshow(dw, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,0].imshow(d2, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=-5e-5, vmax=5e-5)\n",
    "axes[1,1].imshow(dw2, cmap='jet', extent=[xfp2.min(), xfp2.max(), yfp2.min(), yfp2.max()], vmin=-5e-5, vmax=5e-5)\n",
    "\n",
    "axes[0,0].set_xlim([-1,1])\n",
    "axes[0,0].set_ylim([-1,1])\n",
    "axes[1,0].set_xlim([-1,1])\n",
    "axes[1,0].set_ylim([-1,1])\n",
    "plt.show()\n",
    "\n",
    "print(np.sqrt(np.mean(np.asarray(d)**2)))\n",
    "print(np.sqrt(np.mean(np.asarray(dw)**2)))\n",
    "print(np.sqrt(np.mean(np.asarray(dw2)**2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "751c5615",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "phasegen = np.random.uniform(0,1,x3.shape)\n",
    "phasegen_ip = interpolate.interp2d(x3[0,:].real, y3[:,0].real, phasegen, kind='cubic', fill_value=np.nan)\n",
    "phase1 = phasegen_ip(xfp[0,:].real, yfp[:,0].real)\n",
    "phasegen_ip2 = interpolate.interp2d(x3[0,:].real, y3[:,0].real, phasegen, kind='cubic', fill_value=np.nan)\n",
    "phase2 = phasegen_ip2(xfp[0,:].real+0.5, yfp[:,0].real)\n",
    "\n",
    "\n",
    "fig, axes = plt.subplots(ncols=3, nrows=1, sharex=True, sharey=True, figsize=(9,4.8))\n",
    "axes[0].imshow(phasegen, cmap='jet', extent=[x3.min(), x3.max(), y3.min(), y3.max()], vmin=0, vmax=1)\n",
    "axes[1].imshow(phase1, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=0, vmax=1)\n",
    "axes[2].imshow(phase2, cmap='jet', extent=[xfp.min()+0.5, xfp.max()+0.5, yfp.min(), yfp.max()], vmin=0, vmax=1)\n",
    "\n",
    "axes[0].set_xlim([-1,1])\n",
    "axes[0].set_ylim([-1,1])\n",
    "plt.show()\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111)\n",
    "ax.imshow(phase1 - phase2, cmap='jet', extent=[xfp.min(), xfp.max(), yfp.min(), yfp.max()], vmin=0, vmax=1)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "02fb3ccb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, xfp, yfp = mcd.propagate(l=l,surface=1, zoom=True, show=True, \n",
    "\t\t\t\t\t\t\t\tprint_progress=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "8f252e3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-155.63238243799717+0j) (155.63238243799717+0j)\n"
     ]
    }
   ],
   "source": [
    "print(x3.min(), x3.max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "73af1f14",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "844ea83f",
   "metadata": {},
   "outputs": [],
   "source": [
    "// cash stands for chaos hash :D\n",
    "int cash(int x, int y){   \n",
    "    int h = seed + x*374761393 + y*668265263; //all constants are prime\n",
    "    h = (h^(h >> 13))*1274126177;\n",
    "    return h^(h >> 16);\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "40b8f454",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[        1     45748     91495 ... 137104480 137150228 137195975]\n",
      " [    81576    127324    173071 ... 137186056 137231803 137277550]\n",
      " [   163152    208899    254646 ... 137267631 137313378 137359126]\n",
      " ...\n",
      " [244481323 244527071 244572818 ... 381585803 381631550 381677297]\n",
      " [244562899 244608646 244654393 ... 381667378 381713125 381758873]\n",
      " [244644474 244690221 244735969 ... 381748953 381794701 381840448]]\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "Integers to negative integer powers are not allowed.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/yz/y0zt1db902bfbj6p8rfsrkxh0000gn/T/ipykernel_37535/882201994.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmgrid\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000j\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000j\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0mqrf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcash\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqrf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morigin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'lower'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/var/folders/yz/y0zt1db902bfbj6p8rfsrkxh0000gn/T/ipykernel_37535/882201994.py\u001b[0m in \u001b[0;36mcash\u001b[0;34m(x, y)\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mh\u001b[0m \u001b[0;34m>>\u001b[0m \u001b[0;36m13\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mh\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mh\u001b[0m \u001b[0;34m>>\u001b[0m \u001b[0;36m16\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmgrid\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000j\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3000j\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Integers to negative integer powers are not allowed."
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def cash(x,y):\n",
    "    try:\n",
    "        seed = 12345\n",
    "        h = seed + x*374761393 + y*668265263\n",
    "        print((h >> 13))\n",
    "        h = (h**(h >> 13))*1274126177\n",
    "    except ValueError:\n",
    "        print((h >> 13) < 0)\n",
    "    return h**(h >> 16)\n",
    "\n",
    "y, x = np.mgrid[0:3000:3000j, 0:3000:3000j].astype(int)\n",
    "\n",
    "qrf = cash(x,y)\n",
    "\n",
    "plt.imshow(qrf, origin='lower')\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "21908224",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(array([[-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       ...,\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244],\n",
      "       [-155.63238244, -155.52862752, -155.42487259, ...,  155.42487259,\n",
      "         155.52862752,  155.63238244]]), array([[-155.63238244, -155.63238244, -155.63238244, ..., -155.63238244,\n",
      "        -155.63238244, -155.63238244],\n",
      "       [-155.52862752, -155.52862752, -155.52862752, ..., -155.52862752,\n",
      "        -155.52862752, -155.52862752],\n",
      "       [-155.42487259, -155.42487259, -155.42487259, ..., -155.42487259,\n",
      "        -155.42487259, -155.42487259],\n",
      "       ...,\n",
      "       [ 155.42487259,  155.42487259,  155.42487259, ...,  155.42487259,\n",
      "         155.42487259,  155.42487259],\n",
      "       [ 155.52862752,  155.52862752,  155.52862752, ...,  155.52862752,\n",
      "         155.52862752,  155.52862752],\n",
      "       [ 155.63238244,  155.63238244,  155.63238244, ...,  155.63238244,\n",
      "         155.63238244,  155.63238244]]))\n"
     ]
    }
   ],
   "source": [
    "xr, yr = x3.real, y3.real\n",
    "print((xr,yr))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5acddec2",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9780553e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.complex128'>\n",
      "[-2.62118705+0.41501946j -0.70850924-0.41518566j  3.24396455+5.77869097j\n",
      " -9.24802109+7.67145042j -5.3838523 -5.17726043j  0.58191832+2.7330733j\n",
      " -6.01265766+1.18573479j -2.82441448+0.j         -6.01265766-1.18573479j\n",
      "  0.58191832-2.7330733j  -5.3838523 +5.17726043j]\n",
      "<class 'numpy.complex128'>\n",
      "<class 'numpy.complex128'>\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "\"\\n# coeffs = np.random.uniform(0,1,(101,101))\\n# coeffs = np.zeros((101,101))\\n# coeffs[0,0] = 1\\nx = np.linspace(-np.pi,np.pi,101)\\ny = np.linspace(-np.pi,np.pi,101)\\nxx, yy = np.meshgrid(x, y)\\n\\ndata = fourierSeries(xx,yy,coeffs)\\nprint(data)\\n\\nplt.figure()\\nplt.imshow(np.abs(data), cmap='jet')\\nplt.colorbar()\\nplt.show()\\n\""
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def fourierSeries(x,y,c):\n",
    "    f = np.zeros(np.shape(x)).astype('complex128')\n",
    "    mm,nn = np.meshgrid(range(len(x[0,:])), range(len(y[:,0])))\n",
    "    print(mm, nn)\n",
    "    for j, m in enumerate(mm):\n",
    "        for i, n in enumerate(nn):\n",
    "            px = 1/(n+1)\n",
    "            py = 1/(m+1)\n",
    "            fij = c * np.exp(1j*(2*np.pi/px)*x + (2*np.pi/py)*y)\n",
    "#             fij = c[i,j] * np.exp(1j*n*x+m*y)\n",
    "            f += fij\n",
    "    return f\n",
    "\n",
    "def fourierSeries1D(x,c, P=50, xs=25):\n",
    "    '''\n",
    "    x - x coordinates\n",
    "    c - Coefficients\n",
    "    P - Period before repeating the pattern\n",
    "    xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "    '''\n",
    "    xpos = x - xs\n",
    "    f = np.asarray([c[i]*np.exp(1j*i* 2*np.pi/P * xpos) for i in range(len(c))]).sum(axis=0)\n",
    "#     f = c*np.exp(1j*i*2*np.pi/P)\n",
    "    print(type(f[0]))\n",
    "    return f\n",
    "\n",
    "# 1D Fourier series test\n",
    "np.random.seed(1)\n",
    "coeffs = np.random.uniform(-1,1,100)\n",
    "# coeffs[0] = 1\n",
    "# coeffs[1] = 1\n",
    "# coeffs[2] = 1\n",
    "\n",
    "xx0 = np.linspace(-10,40,11)\n",
    "yy0 = fourierSeries1D(xx0, coeffs, P=1000)\n",
    "print(yy0)\n",
    "xx1 = np.linspace(-50, 50, 201)\n",
    "yy1 = fourierSeries1D(xx1,coeffs, P=1000)\n",
    "xx2 = np.linspace(-30, 45, 21)\n",
    "yy2 = fourierSeries1D(xx2,coeffs, P=1000)\n",
    "plt.figure()\n",
    "plt.plot(xx0,yy0.real, 'g', marker='x', linestyle='--', zorder=2)\n",
    "plt.plot(xx1,yy1.real, 'b-', zorder=2)\n",
    "plt.plot(xx2,yy2.real, 'r-', zorder=3, linewidth=1)\n",
    "plt.grid(alpha=0.3, zorder=0)\n",
    "plt.show()\n",
    "\n",
    "'''\n",
    "# coeffs = np.random.uniform(0,1,(101,101))\n",
    "# coeffs = np.zeros((101,101))\n",
    "# coeffs[0,0] = 1\n",
    "x = np.linspace(-np.pi,np.pi,101)\n",
    "y = np.linspace(-np.pi,np.pi,101)\n",
    "xx, yy = np.meshgrid(x, y)\n",
    "\n",
    "data = fourierSeries(xx,yy,coeffs)\n",
    "print(data)\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(np.abs(data), cmap='jet')\n",
    "plt.colorbar()\n",
    "plt.show()\n",
    "'''"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94b0d227",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b7a59755",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Elapsed time: 0.0037 s\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "def fourierSeries2D(x, y, c, Px=500, Py=500, xs=250, ys=250):\n",
    "    '''\n",
    "    x - x coordinates\n",
    "    c - Coefficients\n",
    "    P - Period before repeating the pattern\n",
    "    xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "    '''\n",
    "    xpos = x #- np.sqrt(2)*xs\n",
    "    ypos = y #- np.sqrt(2)*ys\n",
    "    fout = []#np.zeros(c.shape).astype('complex128')\n",
    "    for i in range(c.shape[0]):\n",
    "        for j in range(c.shape[1]):\n",
    "            f = c[i,j] * np.exp(1j * i * 2*np.pi*xpos/Px) * np.exp(1j * j * 2*np.pi*ypos/Py)\n",
    "            fout.append(f)\n",
    "    fout = np.asarray(fout).sum(axis=0)\n",
    "    return fout\n",
    "\n",
    "\n",
    "# 1D Fourier series test\n",
    "np.random.seed(2)\n",
    "coeffs = np.random.uniform(-1,1,(11,11))\n",
    "x0 = np.linspace(-10,10,11)\n",
    "y0 = np.linspace(-10,10,11)\n",
    "xx, yy = np.meshgrid(x0,y0)\n",
    "start = time.time()\n",
    "zz = fourierSeries2D(xx, yy, coeffs)\n",
    "end = time.time()\n",
    "print('Elapsed time: {:.4f} s'.format(end - start))\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(zz.real, extent=[-150,150,-150,150], cmap='jet', origin='lower')\n",
    "plt.grid()\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "2d7b525b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Old one: 0.0000 s\n",
      "New one: 1.8907 s\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from numba import njit, jit, complex64, float32,float64,complex128\n",
    "import numba\n",
    "import concurrent \n",
    "\n",
    "# def fourierSeries2Dopt(x, y, c, Px=500, Py=500, xs=0, ys=0):\n",
    "#     '''\n",
    "#     x - x coordinates\n",
    "#     c - Coefficients\n",
    "#     P - Period before repeating the pattern\n",
    "#     xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "#     '''\n",
    "#     xpos = x - xs# * np.sqrt(2)\n",
    "#     ypos = y - ys# * np.sqrt(2)\n",
    "#     j,i = np.mgrid[0:(c.shape[0]-1):(c.shape[0])*1j,0:(c.shape[1]-1):c.shape[1]*1j]\n",
    "#     print(i)\n",
    "#     print(xpos)\n",
    "#     ixt = np.asarray([i*2*np.pi*xpos/Px for i in range(c.shape[0])])\n",
    "#     jyt = np.asarray([j*2*np.pi*ypos/Py for j in range(c.shape[1])])\n",
    "#     f = c * np.exp(1j * (ixt + jyt)) * np.exp(1j * j * 2*np.pi*ypos/Py).sum(axis=0)\n",
    "# #     f = c * np.exp(1j * (ixt + jyt)).sum(axis=0)\n",
    "#     return f\n",
    "def fourierSeries2Dopt2(x, y, c, Px=500, Py=500, xs=250, ys=250):\n",
    "    '''\n",
    "    x - x coordinates\n",
    "    c - Coefficients\n",
    "    P - Period before repeating the pattern\n",
    "    xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "    '''\n",
    "    xpos = x + np.sqrt(2)*xs\n",
    "    ypos = y + np.sqrt(2)*ys\n",
    "    cs0, cs1 = c.shape\n",
    "    xt = 2*np.pi*xpos/Px\n",
    "    yt = 2*np.pi*ypos/Py\n",
    "    fout = [c[i,j] * np.exp(1j * (i * xt + j * yt)) for i  in range(cs0) for j in range(cs1)]\n",
    "    fout = np.array(fout).sum(axis=0)\n",
    "    return fout\n",
    "\n",
    "\n",
    "def meshgrid(x, y):\n",
    "    xx = np.empty(shape=(len(x), len(y)), dtype=np.int64)\n",
    "    yy = np.empty(shape=(len(x), len(y)), dtype=np.int64)\n",
    "    for j in y:\n",
    "        for k in x:\n",
    "            xx[j,k] = k  # change to x[k] if indexing xy\n",
    "            yy[j,k] = j  # change to y[j] if indexing xy\n",
    "    return xx, yy\n",
    "\n",
    "\n",
    "def fourierSeries2Dopt(x, y, c, Px=500, Py=500, xs=250, ys=250):\n",
    "    '''\n",
    "    x - x coordinates\n",
    "    c - Coefficients\n",
    "    P - Period before repeating the pattern\n",
    "    xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "    '''\n",
    "    xpos = x + np.sqrt(2)*xs\n",
    "    ypos = y + np.sqrt(2)*ys\n",
    "    cs0, cs1 = c.shape\n",
    "    xt = 2*np.pi*xpos/Px\n",
    "    yt = 2*np.pi*ypos/Py\n",
    "    c_ij = c.flatten()\n",
    "    i,j = meshgrid(range(cs0), range(cs1))\n",
    "    I = i.flatten()\n",
    "    J = j.flatten()\n",
    "    fout = f(c, i, j, xt, yt)\n",
    "    return fout\n",
    "\n",
    "@njit\n",
    "def f(c, i, j, xt, yt):\n",
    "    cs0, cs1 = c.shape\n",
    "    fout = np.zeros(xt.shape, dtype=np.float64)\n",
    "    for j in range(cs1):\n",
    "        for i in range(cs0):\n",
    "            v = c[i,j] * np.exp(1j * (i * xt + j * yt)) \n",
    "            fout += v.real\n",
    "    return fout\n",
    "\n",
    "# def expo_helper(var):\n",
    "#     i, j, xt, yt, c = var\n",
    "#     return c[i,j] * np.exp(1j * (i * xt + j * yt)) \n",
    "    \n",
    "\n",
    "# def fourierSeries2Dopt3(x, y, c, Px=500, Py=500, xs=250, ys=250):\n",
    "#     '''\n",
    "#     x - x coordinates\n",
    "#     c - Coefficients\n",
    "#     P - Period before repeating the pattern\n",
    "#     xs - shift of the full field x-coordinates. To remove symmetry around 0.\n",
    "#     '''\n",
    "#     xpos = x + np.sqrt(2)*xs\n",
    "#     ypos = y + np.sqrt(2)*ys\n",
    "#     cs0, cs1 = c.shape\n",
    "#     xt = 2*np.pi*xpos/Px\n",
    "#     yt = 2*np.pi*ypos/Py\n",
    "#     c_ij = c.flatten()\n",
    "#     i,j = meshgrid(range(cs0), range(cs1))\n",
    "#     I = i.flatten()\n",
    "#     J = j.flatten()\n",
    "#     var_list = [(c_ij[k], I[k], J[k], xt, yt) for k in range(len(c_ij))]\n",
    "#     fout = np.zeros(np.shape(var_list))\n",
    "#     executor = concurrent.futures.ProcessPoolExecutor(10)\n",
    "#     futures = [executor.submit(expo_helper, var) for var in var_list]\n",
    "#     concurrent.futures.wait(futures)\n",
    "\n",
    "#     print(futures[0].result() )\n",
    "    \n",
    "#     print(np.array(futures).shape)\n",
    "#     fout = np.array(futures).sum(axis=0)\n",
    "#     return fout\n",
    "\n",
    "\n",
    "# 2D Fourier series test\n",
    "np.random.seed(2183)\n",
    "coeffs = np.random.uniform(-1,1,(101,101))\n",
    "# coeffs = np.ones((101,101))\n",
    "x0 = np.linspace(-50,50,1001)\n",
    "y0 = np.linspace(-50,50,1001)\n",
    "xx, yy = np.meshgrid(x0,y0)\n",
    "s0 = time.time()\n",
    "# zz = fourierSeries2Dopt2(xx, yy, coeffs, )#Px=100, Py=100, xs=0, ys=0)\n",
    "s1 = time.time()\n",
    "zz = fourierSeries2Dopt(xx, yy, coeffs, )#Px=100, Py=100, xs=0, ys=0)\n",
    "s2 = time.time()\n",
    "print('Old one: {:.4f} s'.format(s1-s0))\n",
    "print('New one: {:.4f} s'.format(s2-s1))\n",
    "\n",
    "\n",
    "# Second set of coordinates\n",
    "x1 = np.linspace( -10,10,101)\n",
    "y1 = np.linspace(-10,40,101)\n",
    "xx1, yy1 = np.meshgrid(x1,y1)\n",
    "zz1 = fourierSeries2Dopt(xx1, yy1, coeffs, )#Px=100, Py=100, xs=0, ys=0)\n",
    "\n",
    "ext = [x0.min(), x0.max(), y0.min(), y0.max()]\n",
    "fig, axes = plt.subplots(ncols=3, nrows=1, figsize=(10,4), sharex=True)\n",
    "im = axes[0].imshow(zz.real, extent=ext, cmap='jet', origin='lower')\n",
    "# fig.colorbar(im, ax=axes[0])\n",
    "\n",
    "axes[1].plot( xx[int(xx.shape[0]/2),:],  zz.real[int(xx.shape[0]/2),:],   'b-', zorder=2)\n",
    "axes[1].plot(xx1[int(xx1.shape[0]/2),:], zz1.real[int(xx1.shape[0]/2),:], 'g-', marker='x', zorder=1)\n",
    "\n",
    "axes[2].plot( yy[:,int(xx.shape[0]/2)],   zz.real[:,int(xx.shape[0]/2)],  'r-', zorder=2)\n",
    "axes[2].plot(yy1[:,int(zz1.shape[0]/2)], zz1.real[:,int(xx1.shape[0]/2)], 'g-', marker='x', zorder=1)\n",
    "\n",
    "axes[1].grid(alpha=0.3, zorder=1)\n",
    "axes[2].grid(alpha=0.3, zorder=1)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2ad234e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ext = [x0.min(), x0.max(), y0.min(), y0.max()]\n",
    "fig, axes = plt.subplots(ncols=3, nrows=1, figsize=(10,4), sharex=True)\n",
    "im = axes[0].imshow(zz.real, extent=ext, cmap='jet', origin='lower')\n",
    "# fig.colorbar(im, ax=axes[0])\n",
    "\n",
    "axes[1].plot( xx[int(xx.shape[0]/2),:],  zz.real[int(xx.shape[0]/2),:],   'b-', zorder=2)\n",
    "axes[1].plot(xx1[int(xx1.shape[0]/2),:], zz1.real[int(xx1.shape[0]/2),:], 'g-', marker='x', zorder=1)\n",
    "\n",
    "axes[2].plot( yy[:,int(xx.shape[0]/2)],   zz.real[:,int(xx.shape[0]/2)],  'r-', zorder=2)\n",
    "axes[2].plot(yy1[:,int(zz1.shape[0]/2)], zz1.real[:,int(xx1.shape[0]/2)], 'g-', marker='x', zorder=1)\n",
    "\n",
    "axes[1].grid(alpha=0.3, zorder=1)\n",
    "axes[2].grid(alpha=0.3, zorder=1)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "65096595",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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uOGGVghwwQUX5G02dB3t3H777ea1116z2v4ddtjB/PSnPzXjxo0r1MMC4ZprrgldR9/+8Y9/1KQPakQIdGcE2FRDyvmhOKLOBppzjrzzm4021j646fTt27egGatmHenO2OrZhMDKgoCzvuE36wTrCWuGKxx368mCBQusImPEiBEi7CvLBNFzNjwCIugNP0TqoI/Aj370I3P22WeXBeXpp582W221VUmd2267zXzpS18yH330kRk6dKglxASR++tf/xqqiynptddeaw455JCqwX/rrbcsacbH/eijjy60d+6555rPfOYzluQ+9NBDBm0+AgTIfJ7Cx5UN+i233GIOOOCAQhPf+ta3zAsvvGD+9re/5Wm25BpM8sFl6623th98fOtffvllq6Xv16+frQ9B/+CDD6wJvytgimVCNSVu7EeOHGl9/SlsNpgbV155pcESAqHApZdeak39VYRAV0DAkXE0Xk7Lxd+83xD0aGHOP/7442bTTTe175/Tskc1YyLsXWH01UchUD0CzqQdzTl/u3ff/R+1tKHOlClTzPTp083GG29cMHuXhr36sVALQqAaBETQq0FP19YdAcg1P+UKpu29e/cuqcJHaLXVVrOaXMhbFhP3PIKB999/3+yyyy72x2ntk/oNgf/xj39sZs2alQtT7oVG/u9//7vVarty/vnnW23266+/nqvdShfxUUfqjgBg5513ttUh6J988om54447Kl2e6TxjcOutt5oHH3ywcB2kBe0hBU3+eeedZ60f1l9/fYMQ5LHHHrPPPmDAgEz3UmUhUE8E3Kb6448/Ns8//7xdM9xGuhxBp48QdIJdMsejGnbOx220RdjrObq6lxCoDwLOpB2hPDFt1lxzTbuOuOPO6ibaG/YPWOKwjrg1xFnqUNcJC53/OgJA1hC51dRnXHWXlRMBEfSVc9xXyqf+y1/+Yj7/+c9brTk+2S5I3HvvvWdGjx5tMcGPm0ju0SBxWQUDfPDwYUcQAGGstCGGWH/605+22mC0wlmLI+hPPPGE2X777QuXQ1ivu+46a5LeGeXNN9806623ntWiI32nQNAh52jNBw0aZMkG/YDIV1Mg6LTL5iNa2EwQ6I+AgKTSo+BzB5YQ92OPPbaaW+taIdBpCPh+orNnzzbPPvusta5xJQ1B32yzzWKDWsaZxLOploa904ZTDQuBFYIA6wRacqxw+B5D0HGfo6Qh6Fi9bbHFFrHfVn8doYJP2J0Puwj7Chl23bQbIyCC3o0Hd2V+tCeffNJqyiHJfKgwez/llFOs6TuB4SguzRokjkBuaK8gl/hs502zRrto6rnvlltuaf70pz/FmqZGx+Y3v/mNDWCH5hkf+KylXibufr/4aOPTjzk5WjxXEHKQyg7p/TvvvGPOOussaw4P8cjzbK5dCDrjxHjSDsIPLATWXnttG4BvnXXWMc8991xok0H/EBJEfeKz4qv6QqAzEPD9RNngzp071/zzn/80u+++e+F21EHYFGfiTqUJEyZYE/c0WSd8/3V3gyhhd1HiO+N51aYQEAK1RSAas4L3+aWXXrIWNXwbKZUIOllf+MEdr1JJ0rBHA1eKsFdCUueFQHkERNA1Q7olAhC1E044wWqO2dxCFvGdPu2006yvtiuTJ0+29Yjajj/4YYcdZtOh5SWSzqwdDT1+7P6metSoUfa2d911l9WUo+nmno888oj5zne+Y4UDv/zlL3OPB4QVoQBR3F3ZaKONLImuVZA4v3Mnnniiufvuuy1BwHUgqfDhB39S2JFjPm/B4mH+/PnWfB1pPybsjO+//vUva8ZO5HqEIy5lHvdJijOQtw+6TgjUAoE4P1E21hB0hIt77LFH4TaVCDrWN1ivILjKWnzC7sxf2VizbikdU1Y0VV8I1BcBF7PCRWd3lnoQdGJSILSm1JKgR59QhL2+Y667rTwIiKCvPGOtJ60DApizf+1rX4u9k4ugSkR3AsJhHs6HFSk3AeQgvGiv8haXZu23v/2tJf8ES/vd735nCSwEuZblpJNOsubm+Hg7M7py7WMGzzM68/Na9GXevHl2A4LQZbvttrMEHQGJc1fgHuSgJ889mKsIgUZAwDdppz9+TnPmNIR7zz33LHQVYR6WNWSjgIRH3WWqIehxm20/urMzZRVhb4SZoz4IgQABJ1hzJu1RbTUm7gj/11133UL9pCBxVGCNQbiNgL/a4hN29zf9i8bCkIa9WqR1fXdHQAS9u4+wnm+lQgDt+YUXXmjN1dCqkWrOBW+rBRB8cCHn5HB/9NFHrf95pTJjxgwbwA6BwVe/+tVK1TOdR9PIJgT3AJm4Z4JOlVcAAr6faNwGFQsR3EX22msv64KDZQhCJ8g5ASRxFYGk8z8/mLHiyoOlDK4ctSxOoOgIO/7xuAEhUFT+5FoirbaEQHoEygn4XCuvvPKKtQJ03+dKGvRaEvTok0T910ltSxYd1is/6JwvqEyPhmoKge6LgAh69x1bPZkQqDkCuAPccMMN1o/fz30OaUBij4kuvuIHHnig1WTzMT7jjDMMrgSvvvpqTaOp47oAKceMHT93TNuJM4BGneLyuipIXM2ngRrMiECcn2hcBGTyEZMRYaeddrLBECHxm2yyiSXE1IfAE/PB/bjNL+4zCMGI/dBZkZUJnEmATfxU3X2dhl2EPeOEUHUhkAMBPw1jOQ00VnOQX9zBKJUIOi5jWJrFpafN0c2ylxAPCBdASLpzq2Edifqwi7DXGnm119UQEEHvaiOm/gqBFYhA0uafnOf40EMwCLJHqijMciHpBMw755xzzOqrr15Vz7/73e/aKPx83CEL+KBDZjDnw4QfIo6vPX1Bc0AAObT8SrNWFey6uEoEkvxE45pduHChnbNsVnlf3AYbYVPUtJ3NLQIxiDzCMczjeT+ddp3fxNuoFWF3BH3rrbcubPr5w2nY3fMof3KVE0aXC4EIAi5mBRY0vG+VzMP//e9/2zXECdEdQXfXRgHm3UaIXi+CzvfaZXVJyjQRF3ROE0MIrEwIiKCvTKOtZxUCXRgBgvzh807KO3Kf43cO8ce8l8KH/uyzzzZXXHGF1TASNO/SSy8tpH/rwo+urndBBCr5iUYfic03pqmYm5LuyKVbdJHek1I1ElSOjTgmoxB2zNCZ/5jEo9nmuCPtEPm8hD1K0KP9jwaLcveh38qf3AUnsLrcEAikMWmPdhRrNd6/DTbYoPBtxEWF9YB3MY6gYx3jhG+d+eBo0MeOHWu/4XGlHGH3A1dWSl3bmc+gtoVAPRAQQa8HyrpH3RHA73nfffe1/pzVBF6re8d1QyEgBLo8Alk31XPmzLGacDagWJ4QW8FlgKhE0PFBR9M+ZMiQEG5cB0mnPUfYe/bsGdKw9+7dOzXWWbVsSdGdHWFX/uTU0KviSopApZgVSbCQ3YT3b8MNN7QadwLSkvKUQjpGJ7BzQSenT59u3dEagaAnCf58S504Kx0R9pX0JenGjy2C3o0Htzs/mvNdSnpGPjb4J6OVyqsxyovfG2+8YR588EGbvk1FCAiBlQuBtH6ioMI6hu8nbhholXDfIO0iedCdYDENQcelA5/OcoXNPoTd+a8jFICg+ybxEPikUq2fqgj7yvUe6GnzI+DHrODvSibt0TuxnvC+E9DxxRdftPFYxo8fb/dC/hrggk7y3qNhxyqts/dLTz31lM38kqRBr4RaVMNOfRH2SqjpfFdEQAS9K47aSt7nBx54wOyzzz7244OPJfk+Md3kt/ufAGLk3f7hD39ozxE8ydXx6/G3/+OCMTmI83ysiHB+3nnnmWeeeabuI4WZGulUXHqVundANxQCKykCbBxZd/hBE15pU817SjAnCPOmm25qCTYbZoR7n/nMZwqmqJUI+j//+U/7vlci6NFh4V5Ou04fMI9nLXSE3UVZdtdVS9Cj908i7HG+p3nW4ZV0GuqxuzgCvO8Iz3gP+MkTLA0lAYQbMg4RRpPuXG6cppn/iVvBu8+77UzgfZcY1oNav3vVEvS4dSQaB4M++4Ero/u6Lj5F1P2VBAER9JVkoLvTY5L3F4J+7bXX2qjGfGQITuZ+cwxzTPJ0k67IP0cdznOM3/wgXXaFjbUj8JD96I8j81Gy7wQDnOcD9Ne//tVcddVVVjDAOX5zzm3cqxEAlBtLopnzsSWlmYoQEAL1QcCZtGNGSowE8gmX29iyccaknTWBKO2kRKKg9UIAudtuuxmnzU5D0LEWGjZsWFUPyzroE3bWRtK4OcKO4IGUb50VSMon7ATLw0x3s802K4nuXEnwURUIulgIrCAE/JgVBIpk7kfdVtJ0jfWCPQhrDKlWye5QKUgcaxZm8MRzcRY2rAUICHwLm2piWLi+0zeUK9WuV0lYOBz5/d5779lnIMOLI+zOtabWgoc0Y6M6QiALAiLoWdBS3YZAAIJ+8MEHG6TESQWt0o9//GNz9913l1Rh4fYLmiRH9KNk3xH6OEGAX9eRfo7xgeQj5wQAbDZd4WPha/x9zb8j+U4o4IQB/v++IMARf//YmWeeaT/Gl1xyib1lPT9C++23nznggANsNHcVIbCyIOD7iUJgCfKW5MvJu4n7DZthtN6YtfvvKGvH/fffbzMfONJeiaB31oYXQu6ndGMdY/1abbXV7KYd/1XnJ1/rsUaAim/9LrvsYtdTijP1jZqzirDXGn21V28EojEriJ0Duc5qFcN7g0k7ew804aREdO8OFjtJUdyJ2cOaRGBVV6iLVt2tARB+P4YFwgO3RmXBq7PWq7g+IORDKcI66wSALjUka5cfdK6ee6UseKnuyouACPrKO/Zd9skxAT3++OPthyip8MFhcd5xxx3r/pyk9+IDe88999h7s4F3WnxH2v3fvhDAHfetAfy/467nmCt8NN2mOWr6H0f0k4QBTvPvCwmcm4C/Kfc/ajvvvLM59thjzVe+8pW6Y849cSvgQ6wiBOqBgO8nyv14FyDoU6ZMMdtss01JF9BQkxIQ89XNN9/cbqCjhTaxvtl1112tfzglDUGvxqczLVakYeLZIOZEikew6Qec4u9aBWpiTWMjDw6u+L6n7pifP9mZxucxCU6LgeoJgVojEBezgv0DZulZtMxYDbK+kP0B4syeA9cZV1h/yhH0//znP9YHPan4MSx4/1nH2D/4LjHlYli4dlGe1MLiJ804EM2edZT10V9HnEm8i2Wk1JBp0FSdeiMggl5vxHW/qhG46667DJpiNCxJhY/V22+/XfaDU3VHEhrAzBXJMyZqnVV8KwD+dgKAY445xuYE/+pXv1rQ4PsCAFcvjvTHCRHcMafF4nnQ+seZ/rM5YFPBx9ePDeCIvSP9TvPvYgO4uu6887vzN+GVcKQtBDYub3Sl+jovBKpBIJrb3JFCCDpB33xNFPdhQ8v8hJSjGYtLdUQ9R9DRHDOnKZUIeqW0RdU8p38tlgEQdMz33Zrja9jpJ+Tdbdgxj8+rlWJ9IoYHOCSVaLAoNwZRH3YR9lrNALVTSwSYv5DeuNzmEyZMsN8ylyu83H1577AmZN0hEBzm3Ox9IND+HgQNOveLE6KxPtFGOYIe7QPt+S4xvLN8w33CHpdBp54EnXzw7C+SBPduHyXCXsuZrbZqhYAIeq2QVDt1Q+Dmm282F198scFPK6mwmUTjE6fJ6uyOYiqGtNrl5+7s+/nt33777VaCXq3lQFQAwPPwAY7T9jvzfwLy7b///tYsL0r2nc9/XLwArudj7wrS/zj/f98FIOom8KMf/chccMEFdnMSdQ1w/v9cj4VBXtJQz3HUvRoTAd9P1Glf/PnEuoOAbvvtt7cPQB02y/yw4SZKe6X5hwZ9p512su9AWoKOUC7NZr4aVH2CHm3HDzgFaWfjTskbcIqAdc8995zBKidtKUfYlT85LYqqVw8EoibtUSHSE088YQXdfMvLFb6dCP4gmFjl8O2jsAZhks4xVyoRdCK/u3UrDwbsEaIuMX4MC+cSkzeoZZ4+EYST7z/rY5oiwp4GJdWpFwIi6PVCWvepGQJ//OMfDT/OhDyuYTQ9bN0RVnoAACAASURBVCjR9tS78KGjjBs3rt63tptaNur4ida7nHjiieab3/xmKsuBaBwANg+O/MfFAYg75oQAbOZvvfVWG1grGizQXYc/LYVgOCLp9Z4Z3eN+lTbVPCUBGt966y2zww47GHy2X3rpJfubjTIm4GkKPugI2Nxmu5IGHU0zxL+zCfrUqVMNP86vtdyzgBUavLwBp1xeeAQVeUsSYfejO6Ntr5VZft5+6rqVCwH3Pjtz8ziB3ZNPPmm1vqNHj04Eh7UGqzWE0uw1fNcz4lzw7m2xxRaF68sRdOriElgNQY92lHXPvf++SwzfZAgze5TOfvdeeeUVu+6yPuYpPmFnvNxYySQ+D5q6JisCIuhZEVP9FY7A5Zdfbu68806DtjipYO4FGfM/UPXqOH5PbALJTVzvgrkrH75yH/bO6hP5m4nwjNS8noVIrUTrR5PgTOqiAgCk+xB5iDo+aeCj4FL1HKWufa+0uc2nT59uc5pvsMEGlpxjTYLZaZypZxIiRHFno4zmh5KGoK+++uoVtW3VjkAWgh69VzTgFC5AaLUxh3VadmfSz7WcB79Pf/rT1Xa7cH2UsHNC+ZNrBq8aqoCAM2mHKLuAh0nWNGiZeach33HvEmQadxrcZUaNGlVSB4IOKfaFaZUIOvsWBIudUXyXGCwMXfEtbFjvKlkXZe0bawhrDFjWorg1xFlS+YTdWemw1mtvUQu01YYIuuZAl0HAmZT+/Oc/t0HYrr/++sS+84Fik+cHSanXgyK1xTyVVCL1Lvjlc9/O1qbFPRfB+/jAO9Pcej07Enmem9zRSQXfO34gTwgQ2PjwcUW6XutNQb2eW/fpfATK+YnG3Z3YF2wKuY54DKQ4yjq/eI/wYXeCrkoE/dlnn7X3iduo1xKhagh6tB9+wCnM4VmrcW1x/qtscnlXq3XVKff8PmHHHBiBLpH1pWGv5axRWyDAO4yvOfOeUikuAgES+UZFLeH41rnguFjlJH1rce9DWIgF4bgfPmjv+a+zdrV9gDxuct5j9tjLZwYuJLyDmIN35vvmZgLfat4z3nffwgZM/JRuPFvWtTM628AKIWlnWRRGCTuuTAT24zkg7C6lmwi71oE8CIig50FN1yQigC/w2WefHTqPHxXm5hQWNM6Tp5vFmY3opZdearVMlQoEDN8sFju0LQRAIVgcpl3+D+fRlvIxZNMaPRet7/7nulqYXLFBx98qrd9TpefOcp4UdGjvsqZnyXKPuLpsQB566CHrM5on9Uo192dzj2m/H/E52p4LxEPQGD6gzqQeAY7yolaDfve9No1Ju//0uFdAltlEs9F1GvCsCPEekabNmcR3R4Ie935Ckt2GHRN3NueQFLdpTwqslxXfuPoIViA1WFz51jf0wSfs/F0taahFf9VG10CgUsyKpKfAbYV9k6/5RUAGiUYYh0l7ub0Kc5k5jUVbGoLOu4dioV4EnXgcfo531jjfJYb+8K5Fc7BnHfUXXnjBDB8+3GJWj4JgBdcE9l8usK6faUKEvR6j0H3uIYLefcayIZ4Ego4/MFogVyDALJKUn/70pzYdFj7kLNLnnnuueeyxxwqazXIPgc8VC/eFF15oCfjhhx9uTbycdtT9ZmFEG8JvtFD+eY5F60c3ZHEEno9hOWLvnyNAC6ZbmFFHr6kkOa92ELEs2GSTTWJTOFXbdrnrIbwE7SN/cxZz3lr0CVM+iHc5c1gIOuOM8IRNPySKY/imYXKHKSAEQJvvWoxI128jjZ+o/5SsTWxw2VCijSIeQt7y8MMPW80XQj5KJYKOcIq1prPdWjCp5Tnr4TYEuSCqNJZAkPa0EaLzYo4AmefzTYIduXJaMj9/sk/atWbkRb17X8e84RvDDyXLtx9BH4JkhPzsVzBph6Dzba8UOI574fZFfQR9jqBz/MXvfTqkQecYWvSoRr0zRwYNepSgR+/HM/s52KMWNpD7NCndnn/+eYtXnKtAZzxjNABeVMPu5kE004Q07J0xGl2/TRH0rj+GDfUEEPQ77rjDILmMFhYrFsqTTz7ZnH766fY0PsEsoBB3cminKd/+9rftdRdddFFi9SyB2hxpjyPvPumPEnv+j7uGzaQL2OLquI46aWoc4c8iBPC1/r4QAGHHivADJyAMwoHdd9+97iQXUz5IdrkAN46g88EmJyqkHtzYBEGsCEaFb7o222newO5bx99UV/ITBQXef+cPihUQZplsrqsh6MRygAS7POmVCDpzGkuh7kTQZ8yYYfy8zGkjROedmZBzhAJ+1Ou471dcOibWET9KvNaQvKPQfa7zY1Y4wU6Wp+OdRtjH9wkzbfYGzE0/TkO59iDozGmy2GQh6I6wZ+lr1roEwMMCwNegV2qD77ef0g0FDUE0/ZRucRY29RJeuv5j4YlrE/2KKz5hd387y01f6CfCXmlGrBznRdBXjnGu21NC0CHOaH8wdcaE/fzzz7d+0fjnkDqERdPXwuy33352M3rNNdek6udxxx1nzUd//OMfJ9Z/80v7FM6tdfZphb+X9CoGMGtdNMcebxm/q2n716OFOncsKF574FbzU/XJr4SZE5JvJ+lmIX7yrR62yharBqb3acl+WgGBf38X+CgP4XdRjctZC8RtQNP4gWcGMuUFaVLqOYKO6SCbA7QLfOCxsEBTh2kf81Wb65Sgd8NqWf1E4/xBMdPk/S8XD6ESdFii4L7jNnlpCHo9tET11KBjAUU0/Gg+eYedHyEaDTsE3s/BjntAFnclCA1CuywxS5I07FEfdq0plWZ89zmfNWZF0pM7BQfCZ6y8CDibZT7zrhIol/cnStA3u2BCWcCdX3pnjUoegh7tCxZ7fko30s35Kd3YT7KHqVd8Dtc/XAyx6nTWT5Uw9ONguLpOoCPCXgm97n9eBL37j3Fdn/Dee+81LJaYMGEOiQk7GiZ8p1zQH1Kg+SZHpOaaNGmSIf9vmnLUUUdZ36zvfe97oeo+KXcnfHLOsTiC7jcCOf/8gIftod5Tg2ij7bsentitpn/cFjo3ec1dC/+/O29E7HU7rBsEiqFMXe6bz98vfjTW7L3xwjQQhOq4jSIkFA065rF8nLJaBJSr798wSvzdxgGpNq4MSdr9tLEAsm5o06TUcwQd8zrID0EEIUCQcuYeGxk06CorHwLu/WEzDCnk/ak0B9kAs6YRfMj3B+UdYAO6xx575AYSgg5RdBqmSgSdzTym4J1txllPgs5Y4CqEBrBS8SNEu007gk2fsLN5r+Szixktm+s8xblJxWnYRdjzINr1rnExK3CjQvONVUuldSTuKZm7ED2XnjFPwFfeVfzQt9tuu4Yk6MTJ4ftbK9N6LCr9lG4I7BDSEReEdRG/8CwCjryzDytCLB3yZrLxCbsLihznw57FXSLvs+i6FY+ACPqKH4Nu3QO0TGjNTzvtNPuxQFPJx8M3xzzmmGOstPe+++5LhcXBBx9sN7CnnHJKoX4cOefkOvvtGGqzfQsvjUhHAKBoaesRJmmOpE//S6nwYNiX9i9cvuCJQCrddsDX7e+Pe48xjqBv2uPlQr1prUE+zn4tc0vuDUF3Zd3BH4XOr7tqkHKpXIGEYh5LsLSoudd9r4SfK4sgwH00ymn97/rXmrZrb74ZPNfXd327REBw92tbmj3WftJaD0SFAWniACRp99Fa8iFG05AUP4D28VnDBA2/PIRFzEGOo4HnWL2D21UaT53vfAR8k3Y2eOQVLhdskLlLOiKEj/iDRjfPrHcTJkywaf/yFoRsmMu7QI/OXDZps1+vQEgIwiDO5czA8z5z9DrMzRGc8V5mLYwpQmJfw8axcimdENgxdmmClabpjwh7GpS6Tx0/ZgXm6awLeXJvI+DjfYZg8n3CXDpP4ZuGgAu3r0bToPtm4LUi6D5GvHvOwsaldGN8/PcfAp1HeFJpLP72t79ZF0Os82pRRNhrgWLXbUMEveuOXZfpOdok0mqceuqpNTFx//znP2+DkWHq7hefpI/d81P2VEtHtHe/hAh6x4klvQfa081tSxLxhKTHEfR+Y4aVXOMIOieWNbWUnHcEffX5r4bOdbyIJXUn99uocGz9l2JSynVoyV2Z88zzJdcP2KyoDbpnzVPMHs33B8+6uGi237T53qnnUfO9V5j2z5bGCfj9I2GMHUmn4QuOCfp43k3Bbx7zsTv+Yf++/+bi5tsn7Ema/KTjaL4weeOjmBQQkGvx3+PDTTA5iBhuCEjeXb5YEfTUU6FbVIz6iSLoKec/znn8QRF+ISCM8wdFUMQmDYKedwMIQd9oo42sFo7iNv9JWhP6RN3OjlRcT4KOAAShLZvdagubXIiPn9IJbZq/YYfQQIryEqJKfYwGi2IswROLI9y1XHRnBIx5502lPuh87RFwJu1+bnMINtphtLZpC+0wHxD+8V1iLiJQxhIxT2E+41JI2tOVjaD7eLmo6sQG8d9/6vjvP3uHWrx3KEiwxuusVLNRwo4gkrWNtd+Pg1EPa4E881LXZENABD0bXqqdEQEIEBp0zNjPOussa26E5huNOoUPEdLmLEHiCER24IEHmiOPPLKkN0uv/H7oWCWCTmVIehJB/2jgWra9oTddGGp32bL2WCTKEXRHzrkwDUF/q++mhXuMfznGPz8FQf/kqYC49zu4aKbvE3TOLXvp6dCzzHguLDzg5Mi9dgk/76Chof9/t/AIc9SIe+2x/6yyrf19zb09Tf8BPe3f397mWfv74n9uWbgOou6T9FhAUxwkmBTWA+U21xBzNHKY/VGPzT+bH8g9HznM3tNEhU3RHVVpcASS/EQh4EThZX3xC/XxUcZVh00361nSBoh5hon6nnvumdukEjNJTEBd5os0BL0zc/06LOpJ0OOiqtdqWsWldKJtBHSQI8hV2mBcefvEnMLSApN6l47P+Z4qf3JeVOt7nTNpj+Y2R2CGhpa4O2kK3y6ykBB3AcEfwjb+Z41hHchTsEDhu/j1+xeELieK+4r2Qe9sDbr/wNGo6pxj3PyUbgSfQzAWTemWlbDTLgTdxbPJM25Zr8EalbWSeeObxEfdakTYsyLbGPVF0BtjHLpNL7773e8aNNyYd/GRwAcdjZLTWELEL7jgAnP11VfbwCcEkGNDi8lxWr8dpMIQ/oMOOqgEtywEfd4tN5qeRwQa4XIEvceyJWaVm38R2bSXEnSfnNsPQUSDXg1B3+CjR0uedUmfQYVjLUuCD/HC/7vVtC0qtQbwCTr13lnlU2ad6YFZflqCPvfFV2z92ZM/KNx3zBHBGCwZWLQmcASd42sufj3Ub5+gf2rjVrNXc9GtoWVxeDNhL9zis8H1/3uRae8gP640f/Us++fi1wNtvCvTB65jVh0dpPTzC4IgNlJsivl48TEjUCHRotkgsVEWQS+BrdsdSNpU86CYOOP7Cbl2hblBlH8XQMxptZOAYZ6RJg2rIZfJISuIzFGER858vhJBx+cVf3X84TuzQNAhEQizOrsQxJGNZz1SurEuQIgQJrMpj6Z0crEqav3MfBeJdwBBj2rYuRepSPlu8q1UaSwEmDNozXk3oxG3GTMEPFgNVioQRTTuCIcgWS4OCsJA5kReiw6XpvAbD2SPaRMNEldrM3QIOhZCO136UgGezgpMlyalG2Pop3QjlS97AUfYWVvTWNcxJ3insdCr114CwTF7GLcmRzXsAEx/rrvuOrvWqHQtBETQu9Z4NXxvDznkEBuojI0cGiD8zs855xy7IFNYQM4++2xzxRVXWJMjzIEuvfTSTMF5yFVLmjYEAX5puv2S0P9LOvrga9DnvDmpBL85x51XODZ89lsl5z8ZEN70OqIep0GHoA9457lQG4vHrGsW9g5SbjiC3r95jhk8971w32NM3H0NejmC7si5axDBQ7TEEXRXZ9SSyaHq/acHwfGmX39T4Xi/UUWNuU/QXYXhJ55QqFuOoFPJkfQoQefcB0M2NGOmhTE0/wkEAz5B9zvcY+w69t931ysG5oqSdIgTGyo2BzvvvLNNCYcZGoFk+PiyEarXR7VkcHSgLghUym0eNU9no4Y2jM02m+c0mzQI/YMPPmijuMel/UnzoAgJEF5mIehsJgmc2ZkluhmcftKh9nbDf1263lTbjzRpz6q9h389AmIEd1hHsNH2UzpBolgr/JRO1a4VTtuGj3Cctp7zP/nJT6zFz5/+9KdaPqraqgIBP2YFzcS5nRA8kne/nHl61CoHMu9rbJmPrCV5YyIQKwKSf/SDi3I9rU+Ya03QWd94rnoQdAJ2uoB0aYHg/WftRyjLHjXt+8/+gn0F+wvWknoUrALpX1JwS+YZVqsIKvIGwKzHc+ge8QiIoGtmdDkEIFNsXqKRkqME3X5ABwQ+5pRPJoS1rRzzCbrdbHokPUrOOV+OoPftiN7pF8i5Xz5aJWzyNrNtsFl7QRBAzvdB7/ncI/bYvG2L6d76zppSMk5Og95ZBN3dcP5DD4TuXUuC7je8+bBSAYol68sJ+oKt9jCz+oy0l4x44KpQnyDpN/Y62hy8bXxaPD6emB8//fTTdt7cf//9lgDh60qKKoQ+eQlVycDoQEMhEOcnGme+iAYVE0XmBy4QmIhC2NZaa63U/ols7h544AGbBz0viUOIhHksUaAplTToaOzwp+xOBL2e2nowRoMOUWaso4W1gw2782FNm4O53EuQRtv2/e9/365ZCLNVVjwCLmYFv+03u8PaIm4dwY+ckqT9dlY5zCcEfy4YpP+ErD2sR3lJFQoS5vQxDy3OBVwcQaehWmi660nQnbae9TFv4f33BXZYWmH14gvsIOSMF89GkNF6mZQTZ4D7Js011hn6Sb24tS0vJrquPgiIoNcHZ92lhgjgB3rllVda0x1X4si5/YguJ+hx5JzzUYLewwTm4U0JPuaLmoKAaKs//oeSJ2oeFk6rloag0wgkvdezQWo3v1Qi6D6pn9C/aE2w6Z+CSPJ+iWrQm5+P5EIdHwTVs8++JPxR7yyCfuZG95rXh+5k3p4ZWBhQfJI+eMHUkudYZjpMUPsUcXZE3WnR23c+rOQaDqBBx9ccjSgBBknpx4f0ueees8chVJ3tdxrbMR3sVATKmbRHb8xG7KGHHrI+oJAwPxd52k5yPze38qbtQ+vDZsoRdNp05tdxhACCTkqxPFGj0z4X9eqpQc+TlzzLs0TrovVk040PeqXCWuJv2JNyMJdrJ422jVgtjOvFF19cqUs634kI8P755Dxq0h69NdpviJGzGvTPY0qNSXslqxzSPUIEIfB5CmbPuOZ88+Hk4Lfl2u1sgo7g4dO/ebHQhVoQ/7jnyZqXPA3WvP9+hgiEaLhn8oNgsZ4adKLUMzeTrDWYb7g+YVFRyT0rzbOrTn0REEGvL966Ww0QQON56623hnxqogR9/tsT7Z36bRZ84Cppz3ucd1LQszN/bn8lEfT25X7lox4vNTvMS9C534YTflmCjE/QW9qLH9res4s+4O4in6Bv1/Y3M//GcFC5xXPCmuWhWxYjxNs2PILOv68PC4LC9WlZaIZf84NQ3+I06P1HDynUmXd0sf7ABR/GjnjvOcFxCLorEHVH0Psv+cT0ve86s2T3L4Wuh6BT+r8VBJ0zvcLp45K06HxU+VixeSKGgTNDdimq0JTWyywtFhAdrDkC5fxE427GphYLCzYybIzzasBJF7nLLrvkFvhgjgjZdnnNKxF0NuK4atSDoDtffPDrTBN3LBggwaSyq0epxgrBz8HMxp3/GQ+nYePvaDwCNvVo9xAWJgWjOvbYY62rAy5hKisGgSwCPtfDOO037eCu8MYbb1jrGH7KBSFD48n3Km9KQ95TYlMc+8jSXMBlIejOBJ4bpSHajjT7BN3vZJo20j4UJucIWnkHO6vgGsVaBQnGcgEBDvfDd501AOLeWRp19jOsLUnxDojlMW7cOJuGNq/AuLNwU7uVERBBr4yRajQYAix4mKL6EmoIuiPlfnenHvZj+++wK75b8hRozwvEfPnZpjN+Vqg3ZNY7Jdd8NKhoth4l6eUIetPSQCs9fWgxKism7q7UiqD3bV1iNl34RKjfn1x5eclzZCHo7mJH1LMQ9NEv3xO697x1g7RJcQSd42Pai/7wEHS/QNZbH7zVLN79y0WCTgWPpH94xz1m2M9LhSdO6k1uWIKlEJiQVFhEecU0GHIjgt5gL3rO7qTxE/Wbpj4bYn4g9dWQa9pFg451T95cuG5O+gSd+UuJ29RD0FkT02h/80D6zKcCS6WRd95oNUdOq9eZBB0yA0HJa+Kb9TlrmaqOzbCvYcOkGU24I+yMFXUQBmHFk1QOP/xwK0wk3opK/RHw0zBW0pr7vUP77SxwOI61BO8oJA6yCHGrVCZOnGjnUN4giVyL8Pm4R9sq3Sr2fGcSdIJgInirB0EnHhIYpg1AnAus5Rcx5qTpJDWkn9ItmoMdS52sEeKT+lXONYdrmIvbbLONdZXpLCFBNZjp2vIIiKBrhnQ5BCBSbKh8n5oFPzs59jkcQeekT9IXzJgdW78cQffJubt4qWm1f672+NUmiaAv7tnf9Jr/ccn97m1bHqG848y+r5ZqSZZtuEXomkX9g0jpcRr05waH85n7JL1WBJ1797touaVB5Gl6D+5fOOJr0KME3VVqG7lGob6vRS9H0N0FJQTdnegg6hB0O9YeSXcbLbQKmKCx6XfRutksoKWCDImgd7mloKTDUT/RSpsStJ1omiBMbJ7RXu+0005V5bHFB53gXy59VlZUyd3LfHRR2REglCPomGcjDMiSdzlLn5II+uTD97PNrPGnO7M0l6ouBAUT37xBslLdxKv0/PPPW5eC0aNHZ720bH3GDhP46Iad8WJD76K4x23YDzjgAMPPiSeeWNM+qbHyCCSlYUyLG0JgyDjEkN/sVRhvZ5Xj8pK/fnY4naPfPsG/sOghNkqewn1x3zr+b/HpYCu16Qi6rx3nmqQI7357lTTg9STofqaESs9c7XkEinxLfNdL5hLvuf/+8677Kd0IQJmXsFdyb2LuEUyZvU/ee1SLi67Pj4AIen7sdOUKQABpNKan+N74m6lyBH3sjGKe7+Z/PWM+mBDkBo8Wn5xzLqpBL0fQh88t1ba3tQQ5wCmVCPoXPviNaf94RqhLUYI+afg29vzIhRPt7z6zij7aUYL+nw/62ToHrvKAyUvQ1//477aNd4cX03N0FkHv0dRmRrSVBsKLatHpTyJB7zj34b2BL38cQccEjR8IOZJu/M75gEMC2JznTYtVOpN0pN4IZPUTpX+YI7oUZQhtENBUS65pFz/2rbfeOrdZJZpV1raVmaBDchCaxPnxdsbcYj1YddVVC37/nXEP2nQbdqLUY37qAo0RxMpt2iFzHCfd33HHHWeOPPLIzN1Bc3jRRRfZdY77/PnPfzb7779/oR2XTYVYLn42FV8ggvCKtKk33nijHQsyE1x22WWdns4v88PW8II8Ju3R20Ounc8v5u6YHyM8cwTJEXSuSyLpWJCQKg1tbJ5CUMNnnnnGnPDYsjyX22sg2lGC7o67RuPOR+tEOwBBR1ix469fiO1bJYKf5YGwlGMtzmvNlOVeCEXQaGP1klQQIPs52BknvjvRHOxp71vJ8gdFxNFHH22Dnoqgp0W1ceqJoDfOWKgnKRBASom5IJrQaGTOOJLea69wKjZuMf2K38XeKStBd9pzGstD0J/sVUwLtvM7vw31ydcwc8KRc/52BN2/4NXmcG5iR9Cp89nRYYHEgMdvK3n+5o5NoV/a1h5f+PfZAUVJ/7iWIK/54kvOCdXPokFvHxpoqZb1CKwP3hoWfNCyEHTqF/zQI08TJelOq0peZT6ImAIjecaUmZzVaDpICSiCHvtaNPxBNtWY8Pk5icttRqiHgI+NNCl4IMKuPuSaTTFrTN7CnEIzmrcNNtbE2XBR2Stp0CuZOeZ9Dnedr0H3/cJrqUGnLV8TXyk6cbXPFL0eoQjrgkttV+v2o+2hHYW8YX6Khg0NF9jywzp0880323gZmLmjQc+6ub733nutlRAa2AMPPLCEoP/0pz815513ns21ToCpc88916ZH5Z7OHPj44483d911l61DpPHvfOc7tp+Q/u64VuKK4EyBs5i0R8cW4RLzF4ziAk1GCXocYSdIIoIVyGWewj6JOV0NQU+6b5J23a9fLk1bPQk6rpCk8kVL3dmFd4MYA6QWTltwqXI52Lke8k46T+e/DnEvFwsFKwmEuUmWP2SrOfPMM23KPZWuh4AIetcbs5W6x6TFQtvJYhbNSxwl6P3Gb2iWrhZOdQZ4j7XubTb8zYElOI76apDX1y9LBgT+Yj2nlWrI569eJLG9Z5Zqf+cPLUYEjmrQe8yfbR4fXOxDFoK+5vSnzMIB4YjxPkFfu+Ut88yc8WbGnBbb9yhBHzS5KLlum/SWiZJzrqlE0B1Gjqj7BH3BN84MY9hUtCQY8/4zJRi/OSoISEd5adpw+3v34UEf4zToHI/Tojti7tpyWnQIGZsvNj1swCA/fEgxReMDxgeVD2J33HSWgN3NDjjhC5HPIVjObzvpMdEEojXHEofNc9Q3kQ0dgZnYGOUtaG3yRIB394MAITByQd8qBYmrF0EfcccNVsDlArfVkqBPPPQLZsCogWboL4L4EfhOMkYIUOpR8PsnUGS9Ih2jHUVAFCVgzGcwvvDCC83tt99uNbFsvn/zm9+YL3zhC7mggNz7GnSXG/nkk08u+LejLWddhLgTnI4+MAevu+46c/DBB9v7ovVHaHTPPffY+B3dpbiYFYwJvuIIbrMKRBwWWCNAmii4ysSRK5+QRzF0GnWwRusJucxSXNvPfHdb667z3xOCoKq1LNUSdBe4rTM06NGAdQhLcTeqR4YWLLIQzCB0y1vYp/gZIiqldKwkWLzjjjvML37xi8KczNsvXbdiEBBBXzG46645EUA6jckYUse4j2jzvcWcsXHknNtC0Cm7vf5zM/WBwIybEkfQP1gtMO8e9XppGrRKBH3GmGKKlGFTiilFO1cxAgAAIABJREFU3P3KEfRJN94dQmiN474a+r+9d1HjDVmHoEPMXYGgu7JN/5dC1/oEnRPLPppWMhppCXr/h2+2185/9337u+/qY8yMPb8Wam9JDoK+w5i3C20Mu+vSUHtNn96z8H+POWG3gOk3F60DogSdDTEbYMgXf7P5IaAXaVHQdlbyVy4BSQdWGAJRP1GnSXBm4XEdYwOO5QREhLyxcQIZtIiY+cblJk77sLhNQGLTBIOKa5Nn4f4IHHhOyCo/mGnSJj/MV9d/8i4jrCQydGcUp0H3CfqsM75hZk3+yN6uFj7oEHTK2Bv/z/7GwgHtEhGI61EQ8HCvvGOWtY9oR/lJ8jFm3NFsX3/99XYOODPprPehfpSgQyIQRjDP/CBk++23n7VKu+aaa6xlESbtCMJ9YRWCJ0zlu0tkeSe8Za4hlCAWAa5PWQtjxN6E95T1BWKVZOqchqAzN4jDALlMW/x2nz11O8OcXlEEnT7HEXmO1Yug+7jV0mw+aTyShG5pxy+uHkJKP+BkNKUjigbWiaTv1Z/+9CfrosJ3TaXrISCC3vXGbKXuMdoiJJQshnHl1fcWmvEvBynG4gj620MCifR7cwZbgu6XZaOLgcvc8XoR9J0+vsU0zQrIZpScc6wcQef8rCHhzblP0HdtejD0nD1nBGTalTiC3rTc/HzpGuub94dvXqg7cEmYEDuC7rdXLUH/3MDgYzK373CzpLlXoenhM/9TMuRRgr5wyGqm13phs0C3CWNjir8XRIcNEJtT0q2R6oiAXiLosa9Uwx2M8xOFbKD9jItkzvhjuosFBeS7nJYd80uIGtrDvIUNKAKAvNpYSAKkCJ9otP1s9ukTgeIgTGzY2LhBpiCUEAtMOCFdtS4v7byrWTw3SNVUjqC/d9QXzWp/vD3X7ad+88tm0ZxF9lpH0DH/diQ1V6MZL8IcnLkRdZvK2Ezq6rhooXGD8MYVnp3xZz4m1Ul7syhBJ73bjjvuaN3E/Hfhm9/8phVcIrS84YYbzNe+9jWbMs4v+MUTnPWKK4qC8LT9aKR6fswK/gYj3jO0znvsUXQ9S9Nn3kveU4IaYn0DZsxfMI4raQg6loKQ/a/9NUiPWi6gHOejbT532vZ27vzPE4EVXS1LGg0694vzYXcEHZx2+FV8LKBqyHQen/hK2Lg2K/ULFzreKdybOqv4KR35FvA/exe+NXwzoooG3lPctnB5yVMUyyIParW7RgS9dliqpToggPnn3nvvbTcScSWOoPeY/Eah6hubH1H4e/1nrg41USDo7cXcoS+M3s+Mbp3WaRr0Qb0W2D5sMvUvhb5M/u21JY9WS4JO4wv6BhHhKQOn/jt0v6aPwnnWJ295UOH8Koun27+XNTXb33EEfdlWxdzm1PlgaJBzvXXZYjN8alibz3FM3Nd/6XpbZ8G6xai1EHS/DJpVTMEWJeauXhxBRzvCD9JmPmZoHiE5kCjMkdmQkSNUBL1k2jXcgaTc5qQUYnPiZ3ag82gcOEeB6FQKFgR5geiiBctbqiX59BeNOObN9BdtPCSCApFwkcHZoLkfjiNUcBr2qPtP3md57bN7mLkfBGsUBN2lPpt23MEdxH1h0KfmwIx29WvvyHUbTOXb24LncwSdd5X3MSm/b64blbmoHvmS/dsTBMx3F4h2DaESY4lgqVoMkgg6ZtS+7+oxxxxjzarvu+++RILOWsn78dvfhmOm1Ho8OrO9pEBwrBXMA4QQaU3cef8I1IVgh0CTra2t9r3F5xcT97iShqCjgNjp0tJvZRJRj7b5/Ok72GfpDILOMyUFkPOftzsQ9Cw53nmfEKzkTY2Xdc4zjxljrMZcpgi+jy7gJPucm266yQauu+WWW7I2b+srlkUu2Gp2kQh6zaBUQ/VAgM3voYceajcuccURdLTnPjF3dX2C3rs52GCu8dSN9veykWNKmoSgU7Z4+4aSc2lM3FvbAg1E07J2M/CDoqAA83ZHzl3DjqTXgqD/e9E4M39xD9t0VIPOMUfQo+Tc9jUFQXd9HvjsX0twWbp+WCv0yoBgozKmNYg675P05g/fC13vE3ROREn6B+1BgLmNPnjANLUtKbm3ee8ds+zAb4eO49fFhhdTYDa9fMTQdmASDCHbfffdLUFPuykrvamOdDYClXKbY7qOn6FPZrCSIAUZmkg00GkEMGjQ0MJXk26rWpKPaSpEGCLktOLl0qxBBpjTzGEET1zrzOFddOC88RUcQV86u82MfugmG8QIIuIIer/hA8z8GXPt8NeSoLO+Y+3SGVYBcXMVTRHm5nlT42Wd/5Wi1LM+MQfRylUjLLLrecQHfWU2cS+X2xxtJDEoIOiV1grWI3DkBxNj4kW47wek3QUhjZsXaQg61hVxPtpxBL1ce1nnZdr61RB0l5u81hp0BH2f2/A7sY9QSfud9NxZCDoWWgR/rNbiJe0YUM+PUs+cZN1wJvHEk0B7juCWAI8I16qJ6aFYFllGpjZ1RdBrg6NaqRMCpEEiqq3Tivm3hZxTrIl7ByGLK3EE3W4uJ/0ttr4j6Jwc2vOTQp3Bi0r9tvtNL/pNzx4Z9p2EoFMcSX951D4l93t/Tn+z19ybTBqCbpa3195ngG0HE/dB04qa8CcGH1Bof5slj5bcq14E3ZFzOuAIut+ZkS8Gecv9Uk6L7hN0d02BqHeQc0oSQScAEJtePmKQdiTPWGTsuuuuIuixs78xDkZzm7vUVH7vIOIQOog4ZBVhDNoMyGQWgkMOcgg9P3kLBBtNPsEssxQnRGKjxzwlFZGdzxXyoENmIeBOOOH8Fp12HeKBdYHTrhMYL60wakURdIQOBNjqLL/66Liw0cV1qh7Rnrl3JR97NKiMpwsSlWUeResmbaxPOeUUc9ppp9nqCICIYB8NEocP60EHBRZUCLxYM7tikLg0uc15byA0+N6jCU8qvE+YtBNwElPtgQMHhqoS5As3FVyn4koagg7RiyOwjULQ887Hq287w8y/5HyrZa4VQU8ya/f7WA+CjvWJn+UiL0Zpr2NOI1Ai1gHC2Whhj0MgSNwtmKO839deW2qdmfZ+EvSlRap29UTQa4elWqoDAv/3f/9nfvCDH1jNZ7Q4gu6Oj38xbMLuk/N1PgqunzIiMKmOI+g+OadOJYI+q9dw03/JJx0k/HVTa4K+5pHhqPPLevcJPf6ylvCGwifoO34c9g1dNrGoyaeRpjXC/uu+Bn32i6+YgVtuEbrX4rGByXrT0sWmxxulwe98Dboj6Jt9/IC9ZvrIjUNt1YKguwabJgXPFUfQ+Zgh1EE7ioQZQoNkGU0HpojSoNfh5c14izg/0SRiCaGjPlGmGWfIOpqMrNF7oynOMnbZViciOP2oFFHeb5vsAmzqeQb6DIl2hNuZ5Dpf2WifKpmDO/NH57/O9S6ND7/LYbSiCDoCFt7JqMtCnvGodE2ljW6l6/OcrzRmaNjR6EMG81g/QOwRAlAgQz//+c8tYWS80fZCxC+44AJz9dVXm/XWW8+cf/75VhsXTbP2l7/8xaZZ4zpyokMcu1qatSST9ui4ISAjq4cT2MaNK88POccyBeEf60y0uBRnEP24koag843a7pJnY6+PkvQVoUHPM+fdNZd2GNQxt7f/ZRDtPlqSyHSSNjsNQeceeUh6Fg06Qf0Q/hPLoh4FQTQBSdm/JAmUTjrppEJ2hmr7pFgW1SKY/XoR9OyY6YoViAA+NZdccomNMhstb0yZFzq0/rRHTfO0ot9y22qlQZQmDt/WtDYtKUvQV28ptvHkxxuZzYa/Z+I06G3NyVJ3p0F3HZzUVEz/Nrg10Mz/6+PV7O8Nf1bUrvcbEeRjHvbZYi5y/q8lQZ+3zWftPfpPC9wG5nRoEQZutrGBnFPKEXTOR0k6BL3l3146tfWKpHxC/2Je+p3fDEdnd9hk1aC768oRdDZfbCwxR0SzCilBqsxGmWA++Oym1SquwOm/0tw67abaAcI4OvNuhDCQ20pmqnFg+hHU84KdVQvPph8/VjQcxEVwUdkhTvZd7yDtaPfKEXTmrqv/2JCtzM4fl6YzpC3eA8zUnXYdMgERdtp1iIdPOnyCPurBGwsb0M42ccdvEm322LFj8w5D6uvABHJK2sVyOYdTN5iiYqXI+1j7kMoMjVyeeczzxGlwjzzySEu4mUtEYieIFO8NGS0uvfRSSzpdQWh06qmnWn90tMUQzssuu8wKn7pKYWyxDuB3mtzmBMiD8EQtKcALgQckDDNhLAmSvhcIR7CiSQo2l4agM+7b/iL+He4OBP3Ex8vPoDgy3egEHaEa7wxreC1KpeB0zGtcPhEoJa0RX//6160l1llnnVV1lxTLomoIMzcggp4ZMl2wIhFA4o+Zzt13h9OQ0ac4gs5xR9KTCDp1RiyabPp7PuIcm7FaWHMMOafkIehtzT3Mh02jzZilQXA7CLoj5g7Pqx8dZbbZtIfZ6trSfOyOoLdNCYQFzeuETeiTNOhR7TnXRjXojqDbc9dfVjK8lQg6F/gkfdnSiG94AkFftDQINLfHxF+H7ukT9J7zZ4bOIVBxZa33w1/5Shp0NJsE3CLAIEQEUs6GizzocSZiJUDoQF0QKOcnGtcBTPkYW7QXaGbyRk+n7aRgc1kePK0W3k/NxKbfER/M9dGIIEyy72QFgo4JIwWCDjmnJBH06HO4vLuOsEPEEFzxfkDapx36ZRskDh90R9A3fPx68+ELb5mpLwYxJYatN8T+xge9+YafmPbD/l8WuExckDgwwB88Lip/psZTVAYD/GJJtxinEU3RROYqEHCsJJKej1gIkGmiQktwmBle+864gJL8nYaccxdc6PgeMDauQLrQmmPNgEm7fy6uZy7YXFKu+DQEPa1WHLKetm52FFfcFZUIOj1L4wcf9wRpNfRRzXwlDTxR91lLapUashJBZ61mnYCgJ60RhxxyiBWsffvb4bg8eUZWJu55UKvuGhH06vDT1XVGAAn+XXfdZW67rZjv2nUhiaC788uWpw7zu+wIHwQ9Wha1FnONc84RdP7edWBRur2kpSMC+LK2kush5X6BoFMg6bN7FqOouzoQdMoJLxQjzbtzgzcNNuuuvL/bMWa1ScXcllGC/r/LDrFVDzZBADy/RAn6wk8V874uvfn3JfWTCDoVMXN3JaQ191tJIOhUgaTv8cEfbO2J48J++at/WKpBcOO1xidh0/qW+bPN3HuDSPj9zwpHGEb7yMeFVEqkQIHQ4JfMMfwqt956a0vWVVYsAmn8RKM9RAPs4lGg9dpqq4Cg5i1sxAmwVk1wMiw1cJ/AlDipMCchaUTyxgQZH3FX0B5j1uw2emkIOnUg9FkJerR/kBFH1ttP+G97mjRrEPSRWw4z8866wGw04YYQQR8+blhHSIwgxsaae28XIuhtl33PHm854YJELBxB7zukrxlx6U22HtggKCiHYd4xjl7nNFG77LJLLnPyPP3AYoLcxWhi4wq+0GivsQwRQc+GsJ/bnCvjYlYktYhlHt8I9z4SrI01AaHfRhttlEqAwzuEBUNSsLlKhDoL6X7pjJ3MpudXUEdng68hateToMeZyCeR/2i/fBJdiVBnBbZSe1hq8K1h3Uoq++67r/nKV75iSKFYbVEsi2oRzH69CHp2zHTFCkTg4osvtkSL4DXR8uH74YjgI6aGSVyUoPva2DiC3mvhJ2b2gGKwKAj6NsPCubiJ0h5HzulbEkHv3xw2xXfPccOTQRT503v9yv7+6LF/Fh4xjqBz0pF0R9Bnjg78nx54fxP7e/zoYmC7jacGuTBrTtD/+Wihny0D+pfOjjIEfecpfyzUr4ag08iC24qR9n2SDhmioCUjoAqbfzb+Lq80WlcR9NJhq+eRrCbt1CdVFQSGQGJonAmsVS1BZ24wF5y5eB4MXB7zJPNsTMypg0AB88OoWTXmz2yGXMTdSgQd01tISS0Iuv+85ECnOII+auvhZuKx3zY7v3Z/CUEfMGawrTt44/VyEfTWvj1NS2tLgaATG4J0QfUwp4ZQEdMEk/B6kWFcKQgEmJQtACE0fuIQeZV0CGSJWZHUIj69WFkx93ivsLbCZDlJkBLXDt8ViD7ZQeIsMmpJ0H+7a4s57tFS5UA6xBq3VmcSdJ7abz+tD3v0Ov5PIve1QLYSQUc4jfAI15ykwppGBHcyH+UpimWRB7XaXSOCXjss1VIdEDj33HNtjtErr7yy5G5lCXp78SO2rGcQ8dLl8nYNtbeW16LOXGVsyT1rQdBXWTTdXP5cMTWZI+juZm2fhM28OY4G3ZW+bbND/XLknIM+Qef/jZ++zERN0H0Nep+PJtq28EN3xWrQFwUR8uf86zX7u9cXD7O/F91+g+k9smgN0LLplsa8E0mBt5ygz/3LnabnoHDE296bBJGqKRNWO9L+Xq1fkGs9qkF/b0RH28vLmJn/Kvzt/qhE0NFqYA6G1BkCBlHiA4TZYr18T0s6rQOWXGbxE3XaZ/w0CQSHKTamwEQ/x5e2mhLVXudpq5yZPLlyMd+GvOMnH0cIXcA758uYhqBjzovGvVoNuv+8jqBvcMCW5v2nAsHkzNPONpv985ZUBN1pz7mukgY9StDZeDKuWYhRnrHiGkyScZFIirqdt91y1+EGgZCQuANx5cYbbzTXXHONFUarVEagUhrGyi0ENcgrjcCPtYR1hm9D1tR7mDk/+OCDZrfddov9rtSSoKd9rq5Yz5Fo1pHNZwZxcvyS18SdNjqToEfbz4N9muB0xI7gW7H99tsn3oLvIcEg99svSBectSiWRVbEaltfBL22eKq1TkbgjDPOsJqyX/0q0DL7JUrQObe0KQjcNua9ojbaXdPeq2/o+jwE/eF3x5nPjn4+9qnRoLe0L7Xn+HtKe2DyOrY92OwS9R1yTvEJ+ibrt5h9Jv2i0GYcQW/foig1nT0wnBKqEkGnYUfSmzrM/hdsGuQppziCzt+OpA/cuBj0xBF0/4FLCDonl5P0ua+/VYJNGpLORaSHa1m8IMCvZxC1fuqgIA5Aqyma1g+fGeCZRNAd+WPzhT8WAXyItIr5IpspAiOJoJcMU6cf8DfVaf1E2ZSgVcQPFE2XGzfyRROkp9xmJc0DRclxmmuideLM5BFCECEbQQJa8yRiRlvUg3BjUkupRNB938daE/Teg3qbsf81vkDQ55/1E7PBY38yM1+fbCb/I3AL2uTQ7cy8aTPMolmBZVBzjxbT+7wrTL+bLzLtixab1iGDTPshp9tzH33rK/b3sF9eX4ANE/coQWeMMSuuJt1d2rFLYyqatq209RAI4EaRFC/hqquuMvfdd58haJlKeQT8mBUIvPIE1XN3QIPO9wLLBgRkeSLoV4oGL4KebkY/f/oO1gIhSlazaLzL3cmR9CztJZm4R+9TyV+9EgJpCDr7l7ffftumh4wrfDf4RhK3CWGRStdDQAS9643ZStljNAlsWi+//HJrGkr+VvyI+YDyQZ4+dUosLp1J0CHnrqwxLNAwuzK+9dXQ/5NNMZWZI+h+hShB55wj6ZUIOnV9kn7p44G/+vrr9App0J96e5DZdu2ZZvzTl4f6lkTQqdT0wfuhupUIOpWtFn15mXtfaZ7zNAQ9Lnc7TcYRdI6PefNRe8fZjwb57H0TdzZcEHHmEH6BSIXxM4QsMXfYiImgh4a50/9xm2oinrOJqJTmzg+ohvUDwbV87fP06dMtsS1n7pfmoTCZZ7740azTXOfXwTybLAEuTRom1GjVWb/wN6+Ua5s+oL1z6XrSEHTqYxLvCPp6X1rLjL7ylqxdD9VHg+4IOifQokPQN3n1PvPhhOcSCfrSRUvNG4f/t9nlrUdM69Ahpr3j+RcccLJ1HYgS9FlnfMPMmvyRJegU12dcAFjfs6Sqy/uwmIoiECB6d70KJvWsOwTjiyu//OUvDWbwt98eTpFZr/51hfu4mBXknyZAZJJFSppnYT3ivSNoKG4V1abKQrhC0MG4d10EPc2IGPOrHdrM/zzRkq5yzlpZtfCNRNDJRsPcT3Lr4v3AGuSee+5JJPE5YdNldUJABL1OQK8Mt8GUhg0FWig2qPj74kfnR7U86qijrOmeXzDDIRplubLPPvsYzE9ZlFh4uMaPTLnZ+A3NwAUfmtl9ApNB/u47JTDHdqW9T9g/uloNuk/QD513uZmy0V72VhPnjTG1IOi0BUlPQ9DfGFiUot72eDG43apjwmb7EHSKT9IdQZ/UJ9CUb/Bu4KtOcQT9oy0/Z4Y9e3fBxN3H1degc9wR9DhyzvlyBH3m2sFz9Jv3QWjs3D8Q9D7tc83S5mBD74oj6PzfvlPY3wryQgRetFYQdCL1omlF+sw8ZX4m5RGN7YQO5kYg6idKMCzGopwZKWMH6WUTjsmpH1DNdYRUZZiOsymupuB3iskzWu68xY/CTsA1yDmaUjb9aTRyBDHkmZ2QoBJBZx5TH8LnCPo6+69pVv1DaSDNLM9UDUEfdeX/mqarzy4Q9AdHbB0E37vhV6bXKv1M3x9ebrFwBH2N3bYwU//xrwJBr+SjneU5KtUlUB+xB0i3WK+CNQ/uGQTCiyvkJcfM+rrrrqtXl7rUffyYFcSi4D0jlkiewvuOgAaSzpzEaqPa2AfkU2f/E7euiaCnG6Wnv7ON2frip9JVrlOtWhN0NOVp2ozTyOMuxX4YoW9c4R0ZNWqUwZ3GWWPVCSbdpkYIiKDXCEg1Y8zee+9tSOtAVGw0lmeeeabdWEOs2ZxRIOgsKpjduIL2En/DNIXUM2jP0KA7CTqaKX56eGnSouScttMS9J4T/227snhsYGLqStQHfeRr4VzsjqBTf/SUZ83s4cVc58tMU6EdZ/butx2nQXfn9/noKuPSq7WsGpjJLxkRjhAdJeh7bhtEVe7dY7F59p1ihGhH0F3bEPXXti1G+Jy/JPDPd2XNHhPDGDQPt/+P+mMxlVIcQZ+22ta2Xv+rzg5dzz/lCDrnIekvLBhvdmwvzXWfRNC5zpH0KEFHI+o2YfiZYjZK5FMESQQDQvNSr/RKJWCsRAfi/EQfeeSRUNTkKBwQb0zG0TRCcJMEKfijo3Wt1o8YM3kIG4KAvIX1DssMNMYQfgRAbPjTBiDjGlLoYFlAyUPQ1z9oHTPqtzfnfQR7nU/Qe64ywLzz12fNGrt0uIOMHG6mP/G8mfREkDJy0yN2NE0dxOajl9605u2L5y0yY6661fS445f2PBr0lhGjzHvj9zYt53/bEvRndzvMClo2f+4O8+4jLxgI+oyX3zRDfxEE/yROBESJDWZnlzS+nLXuA6bUaL7cdzHaPt9OBItYjKmEEYjGrMASymXjyIoVexH2KJi0Y4ECUWcvkhTgMW37CB7ZB8UJYETQ06LYePXSkGl6ncbEPUte97j2EOAhmEoSJrMHZy5jFVKPdJWNN1pdv0ci6F1/DBv2CTA7xdeSzYjTbEHQ2Uzfcccdufr95S9/2UoMTz755JLrF771XOFYHEFfPGLNwvnmJZ5JeoeksceUUl9pR9B7fjzVfLBWOBBHlJzTsCPokPNomTV8vcKhwe++YP+everGhWNEjPdLW2uRKPd9NxAY+MUn6D45H/fgheaZnX9YqApBdwWiHiXoLc3hCLCDmz621acsDiLKJxF0zo39ZLnv/ZPFgHIcn77PcYV7frw0ELys8cdvFY5B0Ht3aPtCxUuBB0H/oCXwq586d1AJUf9k4Brmtfnr2PPr9n+30IwTBkTTrEHQCQhHdGy0ZATwwRedzRjzc6211hJBj06wGv8PyWQcEKT5fqKsDWiKSTnlFzbh+FazuUhDcBlfLCSInFxN4X7VaOO4NwQd/0CeAaKPEChL4bmxFnAbL0fQaS/OvxahAoQeLYnToNeSoNP39fffLpGgr77N6mbIRmuFCPoan+9I/bMsEBJC0Js6BBbNo1czU2/9iyXoLf/vEovzqn/9XYigLzr1QrupdJkWyvnqZ8G0XF2EQAhFqg0wmLY/jCeCKSxHsOCJK9/61rfsO3HRRRelbXalqMf6wTrix6yAnPPeZok/4ceEQPDnoum7+BaYBldTGF/2KXHvvgh6Nciu2GvzEvRKmvJKQeviCDoZBvjuJbljsc8mECXrW1oF2IpFV3ePIiCCrjnRaQiw6cFfFAm1W0Qg6JBztOZ8vNBknnfeeWWDJvkd/NznPmf22GOP2LyOuQl6xw16vPdmCQ5zNtjBHhvwftif3CwKApdFS1aC7l+/aGg4H65P0PvMKJLQpvlzTPvUYjo5gjBFSxJBp974OaVRgd8ctI1ZY9EbhWbm9C5GZe/RHm5/5nINOpXXmVrMw87/bX0G2DamDy4KI/otLgoe/Kj5g954InHezVw/MDV1JJ2/155dFL74BN01AlEvR9D5WEF80GqwecLUHf9nNJt8xKRBTxyOmpxgQ40ZNsXXJBMXgDXCJ2L4bLNRZiMOwSUgXKUCoZ0wYYLZa6/AzSRvwVy2mnRtBBxDUICpLCaueWIbYLLOxgsTaEoegt5rZE+z7avJ71gUn/nnnmAP9f3+ZYVTToPOgawEfc0v7WmWLVxgmvr2M20fzygh6AN+fKVpve9KM/uFl830VyYXNOgTDz/F4BPOHMFqAi0634nOfD8RJEPwWBvqUSCZCKaIl5A0P4455hir0f3Rj35Ujy51mXtgVYBm0M9tnjX+BNZUuJ1QWF98P3H2KsTDyJtm0SffT37rU7HESAS9y0y3ko5WItLugnL50l2dajXovmtTHKJYluD2xHc3z3eo645S9+m5CHr3GcuGehI2laR2wHwQfztXbr75ZuuXhckNmp+zzjrLfnAxaUyTixrNJ1r0r371qyXP+/zEQGOz5eSbYrFI1KB31E4i6AOmLNded2wYCyWGoEfN26MdiNOg+3XSEnSuWfZWUWBQC4K+uE9Yw+cI+sD5RT/w+b0Hm74LZ5q+/wpv+ttXK2oammdMLTzS+5t8zox5+W4za1zRrzOa1i6JpEPQ+z9wvXlr79Nse72bF5m+7XNCkD61pVsZAAAgAElEQVT0XqCBX3VIUYCw+U1H22O+Bh1NCfMLbR0BVTAbdkQOcoh5O4GoOpMANNSLuQI74zRffheIPcFa4DRYkGM2yRB2NhdpxwVST/A/CHpaU/I4KNjU8JMUGbccfESSp+8IFDBddibqWSGPmtlXIuiQSwQUaAJf33dP88ETH5tqCfrUb37ZTH9tuhmy9hAz/+P5IYK+ZM488+odAcGhxGnQsxB02ugzYmjBxJ33FeEZGEKmGFtMhdEC8QO+1UTqjo4HZs6YixI4sh6F94A1COF0UkyCww47zFqdnXrqqfXoUpe5B8IN5odfWNt578CzUuEdxTqDNR8BSHQeVZtm0Sfffz9p89go/ZUI+gPfWN/s8fuiwLzSM+l8/RDIQ9DTEPFK7cZp0IlVwrdh/fWDoMDRwnmExKyhtVwv64e27iSCrjnQKQiceOKJ5u6777YbkXK5bDFPY4N+0003mS9+8YsV+4IZ23HHHWdJerSECHpb+CO+dNLEkvpLd9jb9FgUEL/mV58zzQOCgD3tc4K84s1jwn7e768TBKAa8+r9JW11d4LuHjgtQXf1fYL+Sc8ggN8qSz6yv3ssLboZ9H/7ObNk+RjN3eMrFQn6/OYB5snJgdUBJN2Rc3ffaYd+125+nTk1v9G0YC799NNPWxN3tFiQGvxc0wTvqjg5VaEsAnEEnbGAnLNhJooyQhTGJGv0bjRr+H1i4p6W1Md1lvUI08Htttsu9Wi6CNCQPEg52u9qAs1BuBFsuuA/lQg6/UVz3+P0U0z/EQPMW3dMWuEEfY19g4joaNDbR61hmhbNN/M6BCjtaEAXLjG+Bp16PkHnf6wQEJ5h5o35PiQMTPhNQbsOWed3paj4lQaSMecnb5CxSu1Hz/M8pHokXkKSMAnhNt+4448/Pmvz3bq+y/7gPyQxIxDwl0slBbEn5gjjzDtKhoC4Ek1xmAXMKPF+/MT4dIqVCHqWe6pu/RFIk54tqU6l4zxNXNq3OILOXOVbR7rGuEJMlgMOOMC6W1UjtK4/wrqjQ0AEXXOh5gicdNJJ1oz9scces/69lQrmZEcffbQ5/fQgV265wqb1e9/7ntl3331LqjmCzokt3wmCDbmSRNDd+Z4vBOm5/JJE0KnTq22+GfrGhEJ1CPqctqIp7vrTHg215TToC1oHmMFz3zN9PnwndN7XoDtNc3uPIFK5b+Lua885Vy8NuutslKDbPizXovsadFffJ+gccySdv4cuKJrq93okPp0QWnQ06IX7L9ek+wSdcws7qhz4t6JVxeQD/8f6AKNtgTBh4oXpIsF/CDq26667mocfftiaOKKtFUEvmf41PwCJZkz8QrRuLGrwk3M+20mBs8p1iA040fnZpFdjzoc2FVcINA9pCuaDmMvybKxN9D1qop6mHb8OhBs8HGFMQ9CZ463/79u5CPqCn5xkli0NYlE4E/ckDfr6R+5j5rz8aokGfZW1R5uZb7xng8QNWmdV03uNIIaET9DndIwPpUDQH/iDmf3s85acUwgSN2rPncySzx5rs3qgGYr6ToIFzwpR5wdyhuWV065D2LNmZMBigk2scynIOl5Z62PtgGCKNSip4MaFkPuII47I2ny3rh9H0BFOkbYOt6W4At68o2gRGeNyAh20jlhspLV+gWy/fnYQ9yJKvP92/MaxQQ5F0Lv2FG0Ugo61BzEskvbYWK6izOJ7IoLeNeecCHrXHLeG7DWbJ8j5n//8Z2tumsaPi40ofoZXXnllrNl69EExS7vwwgtjg0FB0Ndter1wySpvPx1sCGO05/Z4hwbdlShBj5Jz6jkNOn9D0P0yvSkcbbi1aalZa2qRwE8bU0wBA0F3xRF1CHrUBNzeZ1ZgZt40a0bhmlnrb28GPHGn/T+OoL+9x7dDfZvfVky1ttnUv5il/cO5d1s/+bBQf97o9Y1v4t5zfpCWjdLjnYgv/vLjtSDo9lljSHqUoPsP5jToHIOgUxxJd2bubOjchhjyxJx0+bIhdASGYnMvgh6aMp3yTxxBR1MKycLKBuuGvOPA2uOi8ycF3krzUFn8WdHosvFn/qD1d5r7aiPB4wdPP5zJdSWCTn38th1Bf+/JwNUkrQ86BL2ltYdZumCRaenV0/Q69RJTjqAvmvyuefGaCWbNHda0kdxHbTKy4/ogX7Ej6H3W78hg0UGI7Bq1XIMOQe8/bh3zyYuvmR59e5mBW3/KzH76uQJBb+8w/e7VYU0FQUfDzFqflCfcjSUCOOJLOO067zrm8E7DTqT4SuadWG1wfTWp9dLMLVcnTd51BERnn312KquyLPfu6nXjCHo59xZSUZH2kFgjCHwqzQWEa4xPmiwOlYj2I8duFGsJVOm6rj5G3b3/nUHQwaxcTvY4DTpuHaxvxNCJK/fdd5/54Q9/aIOWqnRNBETQu+a4NWSvTzjhBHPDDTeYO++8M5T7nEWETTOSboLeHHjggdasFVPOM844w7DBJMJ2mmBQmMP//ve/L9FwzZkUTx4h6UkEvcd6GxRwbJ8SpAxypZz2nDrlCDrknDKoPTDlpixq6Vv42yfoHGxqD0dS9/vRe3Lp4gpBp0DS0xD0Vz4IUqNRDlhyQ+g5m5YuCf1v+9ohLJjZESl98OzJpmVxURDR3GGm2vx+GCfqZyHorUuK7bU39wjdO4mgU8nXoruLHEE/dPZv7KH2Pb5e8ixOi475NP6HSJsRCmHCDKHDzzPNJr6kYR3IjIBP0J3JKWbhWDAk5XLNchOX375cTvVK7aXJpw5hRiuBto1NPxskX0MR1YBXumf0PIQRTT5puChpCDpCjp7f+47VoOch6G0LF5v2Di16r1X6Fwg6925b3BbyQUeDvnjqNPPCVY+UEPR+IwebBTNmWw16OYJOu3P/804sQedc83HnW40oUemzRsDHosFp1/nN+08bTsOO9jSqTaoUDTnr+FWqjzCA712SlQbjDUG84oorbEBUlSICLhuEj0mcewvrCxjzHqENT5sNIEsWhzRE22nX/f6muU5j3rgIlCPSrteVTNmTzNjjjtNmHEFHODx8+HCr4Iort99+u/n1r39t86CrdE0ERNC75rg1ZK+TzGjIeU70dnzv9t9/f5uvGK0HJB0/vHPOOcdKuNMUFiTM56Mb+iSCvrC1vxl6fzHnOveY/Z+AZA7ZpxjxOUrQmzpMopuGFbXivvZ8zH8eKXR1xtrbmkEf/aek658MK0Yy52QtCXpHrqrC/ZZOKwZma+4XCAHe3KGY5oz/HUFftKTJHGKuD/U1StCjweqiBJ2LoyQ9DUHv97db7X0X77BP4f5ZCPo69/ykBONbN73YHjt0+s+Cc716l5B0R9BdKioIGIIgIjaTbo35B6GrpFlJMzdVpzwCaDvZOCOoI0o7mIM9mmcCwlVb8EGH1CJwyVsgT/QtyfyYZyDIFPUgUXEa3qgGPGtfEFpE8zrjv5+UZg1Cz3pajqB/cvpRZtBP/xjblbk/OtYe7zt6eEe09SbTdMw5VoM+dNxq5sOXJ5neq/QxwzZbz6ZZW/fg3czSmZ+UJei0NfqzHQG7YjToAzZa3yxjDlQg6ARwJPNHNWMJmWOuOe06GGH+7rTrkHbcIfw0dVnHKk99zOlxo0hK60a/sfThO5cldVievnS1a+IIOu/F/fffb99Z3JgYc8gL6wom7VksaniXEOSmieiflmhHSXra67ra2Kws/b3ms/3NkffOzfW45bTvWTXoxF2AnBNDJ65ce+215pZbbrHWrCpdEwER9K45bittr9nQE9wruqEvR9BbL/1RLF5JBB1yTokS9FHL85s3zw+CyPmlbWCQ79uVKEF/cW6grd9glcnWB90vPRbPM209innPe31SJN1Ns4sm5lzz4b0PmxF7FqPVts+ZFWprGRv5LT4dOnbrnKIp/7wFy8w3+hS16CGCvmCeWbTauNC1cQTdVXBEvW1scE3LnHBfl75dGonWJ+gz+xclv6t0RIxP0qCPe/oqs3R60RrB3b+1Q8ATKjEEHULID9pOtGds1tmos/ElgCFBxdjAiaCXTOmaH4DcQl4xuUPrDAmBqGTx+SzXKTYibMgrmUWXa6NcwCm38YfUcZ+krBNxBDsLmHGR5NESMo/j5qkz0e51xnetBp2CFt03cYegU+JIuiPog7bcxCx8Z7Lp8T8Xhgj6iE3WND0Hr2IwQW8dMbyEoNPuxodsYxbPmtdhrj7YNHUEZ+yJwLUMQbcC0I4Acs7EvbUjSOCiDosqChp03k1MzjFXr1UBP8bXadgZTyecg7gjEMjrYpGlj2QqQGufRAIhoWy8EVLUy+w+S/9XZN04gk5/sIYibR1rO+sLlnYEGcy6rmMSz/uUJDzxnz0t0RZBX5Ezpvb3vu+odczef3yr5g1nJejEsSCmDkqruHL55ZfbvTLBmlW6JgIi6F1z3FbKXvNxRiqO7w0Lk1+iBL11aZCrfE6fYPGKknSfnHN+2fQiKXbtNg3tiDreFPhRmmXtpn15nu9qCDpN9ewRDpS17aKHCo/SY26Y5E6/+TZ7bsRnd7Pk3P7tEfS2GdNL5kIugt5BzimvbXiQWWvOi4U2yxF0KnUsILZu0+JiRHZ3cRaCPvrxcFC/ttlBdP0eQ4uCjyhJT0PQIYVoWIjgi6krf0MSIeX4GkLQ0booiErJNKr5AXxBISaQDrepqNZf2+8kQXEQ3A0bNix33wlAhl8888IvmMqy7mDpg2Ch3MYfgg1JT7PJj+toHEkoR9C5F6QzStDHH7yJ6f+jK+wt8hJ0rp09+UOrQbc+4musHjJxb1/abt59qiPy/kFbmyVz5hcIest2O5umJYtN80dTQz7oAzff2LR3WFJVIuiMJRYKadye8g42VgngxpxESMT3BY29M4eHvHfGulApajyCBPrw5ptvmrXXLqaxzPuc3e063BiiBWsoBHMQdH99yfrsWYJEZiXozC/e1d2vKsbJydo/1V/xCKQxcc/Ty0oE3Zm/Oy08gTT5FpHpIq5cfPHF1s2D1MYqXRMBEfSuOW4rZa/ZUKG1Quvmm/X45NwRcwdQWYLuaaeXLQoTTMj5opeKuX5pr3XbIHVQXoI+btC7hXF7Z25Re5yGoPsDXi1Bpy2nRbca9OXknOMQdFdcJPr21iDIXNuEoiDB1em5VTEd1aTVA3zGvrU8WnMFDTp13+61senbssCM/ftVsXO6qUOz5UpFgk7FiBbdEXTMkpkzuFk4P1V+i6DXbynBegFii0DElWrNwf3eo3Fkw5LW3zTuyQkyRjsuIjQCHawv0KqhYU0yJ/TbypOqzb8egg4ufqq3SgQd143eZ54a0qDnIeiL359mmo89t6BBp19xBH3h9CDd2bypH5slCxaboRuuESLoiz6eZfru83lL0k2PVptmjSBxaQk6GUCIYl9NPIG0M5v4FBBxUvs57TpEj7nqyDq/kywm0t7H1YOkMV5JUeMREqFBR9OepB3Les/uVD9K0MGLmAXMFQIr+utL1ucmOCPC3J12Cr5l5UoWgo7QBc3+l24Ngr6qCIEsCPjk3RF0vlMEJ02K00GQSdazP/zhD1lupboNhIAIegMNhrpSHgHME1mM2AD7po8Q9Cgxdy1NWBQEVNvq+sNDjQ/59Dah/9s6/AKbB/S3xxZPeT+2I7P2P6FwfMRbfw9fX8HEfWGPfqH6r38S9rnfqS0gtUkadP/ivAT9Sy99x1yz3s9Mj5Yms7QtMHVvmvNJqF9xBN1VWPLPYlR6dyyOoHMOku5r0JdtuZNZ2G+YaVka1n44gu7a84k65PyJTU6xp7Z5+MzYMamkRYego7nArxjtJ3OIzTjzh3RrBKLCFLIzNGV6n8MIsEllPPxSrbbZbwuNAqatxLbIWxDgYBa41157GQSCzBt+o81NSxbxYSUadNpUbdG+cj2WBb7/cTmC7tKEJRH0pb853cx9NyAGwz69lVn6+f8O3dI3cU8i6KO/sLtp67AiwH+cMn/KNPvbEfQBY4Z0GBs1FzToBYLuLGwiBJ1rmwcNDpm4cwwz92W7H2AmTJlv4wnkSbmXdewhZLgt+NpqBDOsFc5/HWsb+uLnX89rDu+i7iPwiSuMP8EH58/vsEjosPRRCSPA+8ia7jTSjB/ClCzB4JIwhdBgKbPLLkU3sqS6aQm6xk8I1BIBR9ARYhKLKcnK6LTTTrMWpwSKU+maCIigd81xWyl7DTFHy+GC/TgQFr71XCIeWQi6a2Rpx2YsWnxyzrk+i2ebAe++XKiGD/qi/oE5fa+5082yllYza/BYs8rMifbYB8PHh5qMEvRX3mkxx69xX6cT9Os3CAKrUSDpRy+9LNSvagg6DTktOn+v+vFLobYh6NEyqWU9q0H3CyR94o5Hm/fmDTPbL37QPNV7N3s6jqSnJegEVEG7igkjGhYEPWg00NJhIiaCXjI0NT8QR9CzmJRW6hA+eZBzUrblLWjnHnnkEbPNNttYcg4hg0i5FGpp2kXzidZ9xx13TFO9pE4cwUewwU+caT0EHc1fn++fFqtBn/fj482SecE71n/VEdbH3C8+QW+fM9cs2n5v89EF59kgcRQ06D5BXzJrtlkyd74l5xQ06BD0nh0R4HuPHmGWfjKrwx99bqBBT0HQ+41dzbR0kHUKBL19zy+ZxyfNsi4C5XJW5wI35iLWAe4TdZvyqyIgcWQdEsc88c3h2SSnXUMqBaVDuINwgntk9aGuFSaN3A4EnfHAZcZZImAFQYaONBYu5Z6tXAyK6HUi6I08S7pv3xxBJ+YK36mkNfLEE0+0ljgXXHBB9wWjmz+ZCHo3H+Du9HhsXNAsoM2IFp+k93nh0cLph8b/P/v3rk+dFbqkx/AO/3KvoEF3JS1Bd/Vb2jrMOL3Sc0FYK82pSgS93TTZFj4zK/AXmrbGtvb3qHefNtNvuiXU/tAtNyr83zZvvmlZHr3dHWz2TIiXbriVIUgc2nOKT9CPWnRpqF3+WTJ6rcKxloWBX7orlTTo5v2JhbqTtj2ihKA7f/6FfYt+5RB0ykYfPmh/TxxdJDWOoHP83qV7m6H9F5eQ9NYNlmMxa6aZdFtghbD61X8u9MNp0J966ilrDoapMhtrSDopdTAjrsYksgRAHUhEII6gE9EaP7k0JqWVoEUIg0lwUl7YStfb+d+x8ScaPMSItQaNfFri5drPkks9rk9xBL+cBh2TeK6plqD3HNC3g2CPNIu329NM/8kFmQj6yE+tZ/Oo+wR92WEnmv4zg4wZvok7/+OH7jToEPQlW3fEgpj4klnUIdiAoJN6cvGqG9dFg4z7CxY1WeYN2m1H2PlN8aPDl9N841vOuzBuXDggp5sLWPZ87nOfs+1nnXtp5nhXr8OaQSYYMMbfHNcD1nfISFLKqbTPjLk8ljhp0tuJoKdFVfVqiQAEHesRBMkIgZNcb772ta9Zy6/vf//7tby92qojAiLodQRbt6oOASTmECq0btHSdNvPS445cu5O+CS9GoI+pCNt29IdgsjoS3r2Mz5B7/1cEMiteViHJml4UZMHQe/RHuQcX9rcaqIadEfQx68yMfQcEHSKT9KjBD364K1+YLWPw0HnfIJ+0JgJpu87xYBw9nk8gs7/7w3ZrND84N+ebv/uMzIclAQz9/f/EAR5G7N3MYL8zKdfMgMOO8LMueE6e27AV44MdRWiDkEfN/tJExUGQNSjBN1d/IXZ4bR5HJ/0h/8ttB0l6JzARxFzMDbH+ChDwCA2SKBr5VsaHQf9H0YAs2GIpl8qpTXLgiGplRC+oEnLUyBNkDUsdZgrI0eOzNOM1eqxVu288865rodsoxEkKrUrlQg6a+JmT91mpv7zVXsJUdydD7oLEMfxchp0R9CpN+XRZ0MEfeDYUabPaqNN+8JFJk6DDkHvMShIb9fSQXbnvPyq8Qn6glVGm7brf2t90Bevu5lpff25QhT3JILe3qOnaR1bXH9ygZniIggxPuZ5LS+Y1xA757+OABmhn/Nfx1qHKPGuvP766zZaPK41cYW16utf/7oNKCaCHkYIYoLmkHcTlwSHTy2Ec9wJwQsBCnFxqVRE0CshpPOdgQAEHcUDJu4Itv21xb/fQQcdZPbee2/zrW99qzO6oTbrgIAIeh1A1i1qg8Azzzxj9tlnH6v5/P/snQecFdW9+M/2TmfpoAiIKGpiixUL9u4zzxhb8mJJovGfFxOfRpOoiSkaY4vPbtQYSzSWZ4yKgg1RoyIiIiBIr0vbZWH77n++Z/Y398zcmXvntoWF+X0++9l7p5w5c865M+d7fs0ryQD9sA5LK/bhm85pLkC3JksIPpZIkAYdMBfxA3SBc44B0HVZnZC+ru8Y59zypo3qw6av6+/7lUzXnwXQ2WZCugA62wXSMwX0M4Z9pK9d2OYOjFfUGG+Z4AfociMC6mtnznfuzQvoZj+5AN2Kim+KF9B1f5TG/PbRoJvS3GpbHJy5xQ6AEgTogA2TOF5m+PQCTviiSwRnTNwjQHc1bc6++AF6UNT0dCoBaGHuFwQ+icokOBxaOSY7LBrgg5qu/y+gRl2Ccqknuze/QFWJAF2igu/94bNpAXrzrVdok/REgF4xoJeudvmwwUkBHRN3YH3zwadpDfqG/vazr/e0Z1X+sJ1Vc68BvoBesn6pylu7WjXsup/qsLJndAwZp33Dcy0s7GB5kan2VerJ5Bk3LAF24hpgAi/AjksC4zRoIYmI5FdddZUOVhYBenzvE3Hf2y70IVYQmUa9p2wWAAgSmcy9IAL0XP8yo/K9LfDa98Y4aUQJEsc7JmicMle+4IIL1IUXXhg1ZDdtgQjQu2nH7YjVZmX73HPP1SaxpvjBOftNDTqAjgika0DvBHN7hw3pSNPcOXHNW1DuDtYjgM6BxZ++E3e8ALrsWD3W9qNGBNCBc+SDpn2cfQV5HWpsD9ssFBFA39JvhCpfu1i1f/m561qYuHslkQa94eizXYebkJ4qoFPQ5tVuDX0iQOd4B9JTBHTONSFdAH3XajsPfI9fnuXcl6lBF40tky6gCwjbZZddFDmQ+cMErCsgIK6TdsANfoCeisYqWZOx+IKveJDpcND5aKwBagCNcwEkTAfTDVAGnDHOjjjiiGRV9t2PCS9+0aYGPlVAzy/MV9V7j7KyQ7arpvV1qte+e6qatz6I06DnP/571bi6xgXoeUWFqqOlVTWutBcs8UEPAvTG2gZVUFygTA16GEAvXjpXNQ/fTRV8/Ja+RtM3jlPNRRWq18zJauOeR6niFsu9xgL0IO1QWg0bcNL06dN17IJMggsmqg/QJ7DO4g8AD6Az3oB2FoJM4HzhhRcUKZIYQ5HEtwC/BZ4lpmD5wkIrcUYyEXFxOeqoo5KOvQjQM2np6Nx0WuChY8q0tQ7PD96dZILAQscvYCXwTqC4s86KzY3SuWZ0ztZrgQjQt17bR1dOsQUmTZqkLr/8csWEypQgQF944H85hw2tjQV0Y3IYJwagty61Abltix1YyQvnbBNA94Nz9puAbsI5+6rf/4eq/9pRThVMQJ/Q+qqaXnGEGl5qR5Lv0bAmrqql7/3L2eYH6BtPvEjv729dp9Vj4u4F9A8a9lYHF7+vj/cD9JkVtpnu+IZ31ZYnbVN1ES+csz0MoC/7nR2obuhVdoR2JJkGnWP8AH2/wctUXWuVU87uw9waN4n4iwb9yCOP1P6F+KIDQUzGiPwbAXrcEMvJBsxT6Q9TJChbGI1VskqhceQa5EIPIxxLMDfyYBMITgANQCdAWbo5uAk0hbUPk/x0BBN5gEMiSUu0akzwyfHuHa8ElUMr+7WPnnM06H6AvnaqbTnT87cPOtUKAvSGJctjVbfcQdoabGsbU4PeULNRlfauUrVLagIBPd9y62kqrlQ9Ni5RBbM/cjToEo8CQG/e/2hVONK2KCp6+V4N6GS96Nm3f0rB+dJpa86hr7CqSdelIZXr0pe8v1h4oD8ZK3w2zeGfeeYZ9be//U2bWudK/vd//1fdfPPN2p2D5+Ftt92WlTgQuaqvWS4LHLSdKSzas8gxduzYjKoA+DPPYHEtmWVVBOgZNXV0chotgHk78xZ+t6QbZozyTjUDVpJthN/Cfvvtp3/jJ598chpXCndKd36OhLvDrXtUBOhbt/2jq6fQAs8//7wityOmPab4AboJ5xybDqAnqlq6gA6cI8kAXa69R4c7FzvbG4tjQNp3zttx1Vyzm62t7/f2E6qt3h3ozQ/QpYDD2ye5yiIS/Weldpq6bAF67ZJYML5hP/uRLrujoDAtQAfORYB0L5yzj5cXk7mpU6dqs0VSaOFfjP85LzHSrEWAnsKPMIND/QCdyTZAzOJJpv0AbAP8QemrzKpLCjW0m4wHM4XalClTdD5lJj3pSKZm+6aJPMCAZQBm70zGKFvMpck+gFkvFgCpAHqfM89QbV8/Ud8a5u36v2HijgZdAL3MMmlvsFKqCaCXDuinPxPF3QT0wRO+pvIsi6SCkZY5+1rreMsPe8vBp+hgb76AzkUtM3YvoLcsnKGaLaD/YO4SvUCRbiqzVPqNAGOYm3dVznFTY8+zSczh0a4/8cQTOvgT0M7kN1EQqFTu0Tz2qaeeUuedd55T/r333qseeOABbbWRSqC8dK+f6Xl+gE7MBn7TYX77ia7PMwpAx7c3WQaBCNAz7cno/FRbQCK4s7BHOkCeD7jQmBY6mLw/8sgj2tKUAHH4oudCuvtzJBdtku0yI0DPdotG5eWsBZi83HHHHTrKsilhAJ3jBdKLNxpB5iQPeKcGvXWFDX2FfexAaK018Rpstq887lK9f8g7D/ver58GXeCcE2r3Pd4JLicadLTnCBp0ES+gVyyZpdaNsqEZCQL0Ysu/vMe7djRzE9K9gD4/b1e1bottvj8h7424ezEBnZ2mFl006JWD+qj6zpRLpgZ99v3/VIP2Hu4q0w/QOQBI73jHvUBQvKutDWmptstAg35Ula3tR9aWxXLJ17dVqN2GlsbVn9VmIOyDDz7QgX9ee+01HWiQOF9QLHwAACAASURBVAYADxqXrjCjjavYDrjBD9DZ9uqrr2bk8y1NiUYBX3IiOycSgEgCymFB4U2hhjsEpoNE5U5HcJ0g0BcLQukIoEb9yKOOmTNtJPUETpiMoWXnP/sACeDkG5/9K5QGvd+h+6uW4y/RVcsWoA8/faKlmrfaq9AKhmYAentegWotKFZ9PnhB51Bv2fNgK/Vap/bTAvTiDStVg+W+Ixp0E9AT+Vem065B5/BsIG4BCx5dIaQDJDsAwSq9QmA40iJh8UOf4o6TbU061iHE3rj77rudy2N1ctppp3WLlEx+gE6GFxav+N1mKvKOSGZBEwF6pi0dnZ9qCwig8+wn2CRxdUxhQZf3G88QLHH4zLPt4Ycf1vOebEp3f45ksy1yVVYE6Llq2ajcrLfAQw89pB577DH1z3/+M65sE9JJLba0V/wkfW1TTzU27wvVY+Vs1/mtX7p92tkZBOiFO9uRd5fuGovyakJ6e6dZvFygcPgIhYm7F87ZL9HfAXSBc7b7ATpgLrJ6zAQrIrxtKuwH6BvHHKT39Vo8XbUvi/mzs63+wFP0vsp1C/X/Gf1iwdf2aIjBr1wLQB9WtFR/bcivVIM2xtqu4e925HaRsrPOd33/8orrnO8C6kGAzoHt0+wI+CIC6PJ98wh3n4YBdCa5rDADOmhpBQYxh0ZDis9iKjmuXRWMvqTcAmi4vcKEmImGqcVOuWDrBBZdgFs04n4CzJJmj4kNkxbyXvsF4QKOMPtNF9gy9atnUkVUarTHmD5TF+ruzYPONqBkyZIlGtgPnfNa1gG94tDD1OZ3p2qteY+DD1TN87/01aAnA3QxcW/Y1zJnb95iQ3oSQMfMuCuCpLGYAqCmuyCT6lhNtiDwm9/8RuG2wKSaiXi649CvXjwPWdB5+umn1emnn+4cQqRnFoWwMNrWxS9dI24q/AZYeMhUklnQ8LtjQeCER+13aCRRC3RVCwigY1G1cOFCnYUm6F3HAiCLe1hXsdjrtyCYbr23h+dIuvfeledFgN6VrR1dK6MWuOuuu9RLL72kVwb9ZMoc2/94QvvrLkCfs36g3t6vosEX0NnnhXQBdL2vU4sucM42E9AHrZ2p8r+w/eK9gM420g6ZgvZcpKLO9jU3xQT0Axa7IZjjAHSRAbPt/OGmmICu62RAOoAucM4+E9CHF9gw36N+pVPcxqpYqjgAHRFI9wL6potvUNW1dkR3E87NupX3KXe+7nS6bSnQYpno+okA+uoXXlGVl18Zd0hYQEejiZkwZovAIKBOUDBeWJi2RoDu2/w52egH6MkmxGErAqhi7r3vvvvGncKkHhNeJjZo2RJBD+4QBItL1+RZIkFjsZEOYGIJgLk+dZBFBODcC+hyk9wzgLLP9BdcgM7+/nuO1IeVjdxJ/8cPvd/Jx6uWA8/U3xNp0IFzxAvojTXr9XbTxJ2AdKV77W05kVvPYEODrq9RWKb6zn5DtW/coPwAvWX/GCiaGnR+p10huExhGp2uS0OqdUy2IHD11VfrIGiYuGdbcO0hOB33zKRd5Le//a02i2XxalsXP0DH8gC/XPxuMxUsaLDCYXHMK1hk8e7gnXLxFHfKyEyvG50ftUCyFhBAJ60mYx5XLD8BoIlXwoJ0uukjE9Vle3iOJGvrbWF/BOjbQi9EdQjVAn/84x91kK9HH3007niBc3YA6AhadBPO2bb/KtsH3JTlOx+iKpprVeWbsVzaAuiNCxfpQ/Mtv8ziseOc02pGx3IU916/wF3gx24f+VwCev8V7jzmddWxKLZo0EUcSB8z3lVXP0CXAwB1P0BnP5DuB+hybu2F5wb2qUC6ADoH+kE6gA6cI3k/+52qaHJHjA8L6Phrkf+cyRv+nZge43fKiwtT0wjQA7sq6zskaJ9ZMFo7AClTTSGaAv68WgU02lhQoJEmaj85qhMJAIVpcbpBw9INfIdmDl9aFhqQo48+2qlmIkBn0QHrgSBALxtjPRNabZgA0Pt880zVstexOj0PgF42YqiqnTnHSbMmPugmoFfsbZkOc7ylQfcCekkf21c/CNAbiypV/8/tZ/LmUfvGNOjWd9yN/AD93/OWph0FP9VBi5aJcZHMpDnVcoOO53osEhE/wE8IhMri0E033ZStSzrlyMSaMW6ax954443qr3/9q07ttq2LH6BjcYBG0Wvym8690D+4PnkX6LBW4TlCdgdcTsbfGB//JZ3rRedELRC2BQTQ+R0D6UHWYljesLiLRRlR3rMt28NzJNttkovyIkDPRatGZeakBW644QatWSKojVdMQJd9za35zmFozxEvoAPniAnowLmAuRQAoJtSe/LFztfiVrtsUyreeNr5mgmg7//p7Sqvl8c3siEW+K29/xDnOvkb1qiNux7sfDcBnY0a0n0AvU+xnaqssm1j3H3gQ2qKaNGHvfWA2jT3K9c+NOgig9a4Fw7m/PxmZ5+fFh0oaF4eb02wYc4ifR6AbsqmPPdLp7G9xNcHXfKdAz1Mipl8AegCYWiTIkCP6/acbfADdLR5uBpkaoLnN0kHXtF4EaGdSXey3MbcOIuALNykm3aLe8QqYOLEiaHHFgD+6aefah96NOfU2QR0oATtnV/9xdxx30/+T2vQhzz0D7Xy4m/qPhx00HhVNHhwHKBPqSvXJt1jJz/iC+j5Pa3fV+dzBw26CeiYu5cOHazWvPORjuIeBOhfHfEjVd2yTGvQAfTWgTuppsp+CQG9ptOa5nPL2iHdPPKpDl4WiLC6SDetXqrXQ0PLYmHQ9b73ve/pBatf/vKXqRad9PjtwTTVD9D5DaD9P+SQ2MJ50sYIOMBvgQ4gwQoLiysW77CMiXzQ023h6Lx0W0AAHc048B0Ub4X9uEbxe89FjJ3t4TmSbh905XkRoHdla0fXyqgFMP0jPdbtt98eV44A+lGzY1qHqeOvUJuarKBFlngBXcBcCjIBvbV2U1z5qQI6BQikewF9+YGxXORDlkyLu9a/q2MmnwA64kC6AefOiQRm6pQ5485SA9vsQHcuQK/doJqW2L7kSNEB9kRmyeBYkJFMAL1q15FqxYTvqJ6Ntrl6eV3MTJ7va//ysNqyzh1Rnu2iRQfQERPSBc71/ScA9E9WDlRn7BO/SCJ5txkzwBt+pvh/Ak74GRPBfeDAgV0SKdpp+B38gx+gZwrE0qTmJB1tNFYTaJaZqAwGUkMK1hUcn65poESmD5NLmSoB5UT2Jh82i0ho4N97773QgM747vHIjaqwsiIO0If86GJVsNJamOvUoDfMX6hKdx6uNhx+gfZvHvTsHYkBffMmtXnGpykBOtkf2r/8XAmgt+VbacS+eFO9vfP31T4Fdqq32rIBarDlM69Ky10adAH02VYEYkkzF7Lb0j4MqxoCKNH+uRbGJdfDvDzIkuPss8/W1gNXXGFH2M+2ENwJ01jThJ5n4amnntotgsTJc91sF8YyUa2zMWYEvOdeP1G7GmBVgPk8MGRq1SNAz/bIjMpL1gIC6LzXeG/wbvMTFqv4LWD1EWZROtl1/fZ39+dIOvfc1edEgN7VLR5dL+0WIJANL8w//OEPrjL84JwDAHSRcWXzXOf0rpmnVg6yg0kNWvmJqus7Upu4+8E5xwQBup/23LxQz2Wx/OuyfdnImA95WEA3y8wrMUx0DTjnGAAdGdL8lar63MqjS2RlC84RE9ClvJWn/8wpenNbuRqgYlrsQiuHsSnNBaU6UByCBt1PNh9wgt7sB+hyvAnqppm7F9JNQOdcE9JNDXq/lhWqakR87muZyOGjywQO7QdaSjRzaDgxa0Vr2xWpnHwbawfciBaYfjGFqNZoq9MFYimLIFFouYAtNNCYtmMCmKrpMnmxGRfpppxKJZcycM2YxJIDzTmaOSZeWBWYUeATadD9AL393mvV6o/nKg3o9ZaFzIYa3UwC6K0nX6a/Fzx7q1Ijd1O1zz/nMnF3NOgJAL0Djf7QnVTjJx/rshwTd+ucttUrHUAXDfq6cXbMifX51SpPdahRc5+PA3T249/LgsVhh9k+8LkUAeZcpDPzqzf9iMaeeBhBmi3yFgPpl1xiR9rPtkh6pHvuuUebhN93333q/vvv178dLEe2dfEDdNyY+N2yKJaJeKH74eMqdIBG3hXetGsRoGfS0tG56bSAADpBClnsxirMTwgy+s1vflPHZEknDkqYunX350iYe9zax0SAvrV7ILp+6Ba4+OKLtT/Ndddd5zon79nbfMsQQPeDc+8Js/paaYIsGfPCNarx1O+p0hcedA7xwjk7xMR9WwR04BzRgG5IGEA3jx/S7o4AX1vUT+9mcj106sNW/rbOdEnGSQLoHZZpfEVtLE85GnSk+lv/odY8GYsDUH1YLAppXh+rfEl7Zx27erLbuqDv3mPV+qMv0OUIoI9c9qb+XjdgTBykM5FDm4lfMtCDVhRtiASLw1cZv+cI0H1/PjnZ6Afo+HVibo3PXCYi0c9xWQDK8RNNx7wPOCRAVLr1kdRxLAQFaUk5hsBuuOygvQTQRfyiwDOOaTu/scrCRFX9ClX4ylNq47zFqs8tf1UC6MMvsILBkUIyi4BOPYv69lFhAL1Xxzp9W5i4Lxl/mv7c1FGSENDrrBzqLFrwO821hAHmbNaBSTVBCBPleAcyWYw+55xzsnlpV1loz/FxRzOMOf2tt97aJQsi2bghP0BPNbWhCddoyoNg+5kzB+jfp9/vLgL0bPRmVEYqLSCAznsDwTXMT7AQvPTSS3VchlwBOtftzs+RVNp9ax0bAfrWavnouim3wPnnn69GjhyprrzSHdE7EaAftPkl5zob+9kPM7TnXhFAZ3tpgZ0Kaviztk+1H6BvPNnWbpQ32X7bbVauX0mb1lpoa7jzOtqVnwZ95jDbhL1P0XoVpEHf1GRHpD9qTsx3W+qcTIMugM7xJqQnA/SiPDt128ZW27/bC+h1RTFfeA3oIgaoC6Czy4R0AB04FxFIjwN0DuiEdD9Al/MLxrnz3SYCdPzPgRuimvLCQsNKujU0dERuzpUJWKyBok/SAn6AjrYbf1x8OzMRTNr5GzNmjLaWSHdiQropAnjxrElXGF8AplfrRnkABtpKNN9o+L1BfEgLiJbVjALflYDejt8iLgGWD3rrXDutYiHfLWsdgsQVWKbg+eVlDqDXTp6i/dBNDXp7r/5qweAJqrGtRA3MX+EAemtHoWpTBQkBHW0o5srZ8CdO1n+MR+JS8CzoilgU9C3uC4lSyPF8ImgbeckjiW8BFrdY6DAl1cwJYQEdeA+SCNCj0dnVLSCAjqKBxeegd+a//vUvRcwm3jORdN8WiAC9+/Zdt6g5K2w333yzXqnHX+a2225LWTOCJoGJFCZsaLUwAcSPmFVt/oZ/GB+ZXU+ER7rNf7IF6ALnXKNvjZ1DvaHHIKc/BNDZ0GupO1iaZS+nZg4/wzl2/Ep3Tve2sir1ZrFtJo4MqqxT4z6KBcVzwTkHeEzcN41yp5kJC+gjltj5b1eMiPmk45cv0mO1J/3OovhFDo7dvG8sP3x5raW57jVcF1G1ysg1v6pTs97eERvD+XmOn/3af72m2prjU9igQRdJBdCBciAcrSradHLlvv7663qSTO7tCNBj3ZDrT4AmWktTmEQw2QCs0xHK+8LyWSbOAJ8B20yEBQPAmlzp6cqkSZMUZtPeQGD4l2MxAGQA534adj/YSATouG9UblqeNQ16qoBOG2HmHgTovQs3qKGfvag16AA60q7yA03csYRgTNB+uRb6A3cCrB264jmAphfz0yBfacYFvs4PPvhgxubauW67rVW+H6AzP5g8eXLowIyZAnoE51ur93fs6wqg83zk3RJk5UUq4rvvvltnq4mk+7ZABOjdt++2+ZqLjwqQzmSL6OsPPPCAzkecin8nkxUmbZzLiiEmgGhXmIzvNX+Kbzt44ZyDEgH66gcfUTVX/lWXhQZ9l5qp+nPLO1NcGvQiyze15gBbAy5wzudAQF8yw1Kl51nq5BiMmoA+bqMNxqYIoI/vYadvW9ve34F0E9Ab59v7Sw0/JC+gLy0apcbN+Is+zk+DXrxPzMScYwTQ+9YuctWpuM6Tq9wH0AXOi5s2qcLGOtf5+Y2eAHFeSPcAOid7IT1VQGd88IdWFRAqLi7WWksWioikzCIPgaG6YmIe18k76AY/QEcbgFYZU9JUBY0kwIu2nCCABJxLN/+4XDvTBQPKYQGIIDqm/zuaYeqK+TxjMMi1wi9NW8aAjlWKFShOfNBbxu6r8kZ/w+WDTr17jNlZJQL01iWLVR4Lo5aFQXvDFt1k4ocOoLf0HayKVi5UpgbdBPSWDiuAnAXniXzQiU7MgouZpzvVcRH2+DAa7bBlhTkO830WgIKsA4BPFoZefPFFPX4iiW8BP0CXuA+J3ErMktIBdM5JZA4f9VXUArluAQF0LIywvBo2bJjvJR9++GH13HPP6Vg7kXTfFogAvfv23TZfcyYYaCtZyRNhEo3p3u9+506bFeZmjjzySHXWWWep8847zznca94+5buP6H2HvxVfPoDuNW+vs4IjNaxzwyTnV1/4Heca+V/NUR3DRqq8pbZvN4Buwjnb/AC9vqiXGrrgzbhbCwPoAuecDKAjaNIB9PaBtla6eeobTtlAeqMFOi0nxdqGnS1WiqM+n07Sx2UV0CnQA+kt4w9y6hMa0I3WMdPJoUX3Sq9xMRPoMBp0AXQimmLKzsSOqKZMgNGaAeiAe7qm0HEVjDYkbQE/QGcBBVDCZzwV8aZQo+xU05v5XQ84ZEwEBeAJU0e0eaTSklzXkqaJsYfWI9GYkzRtpFkTiE8E6ABtRd2yOA16fkmxKhq9q+2DngTQ9TNs8quq+CTLZ/29ydrEvXHkXqrwPfvZoU3cLWm10k3FAfoI63e5zlrA69FL1exykOr/xRu+gD573DmqvSNflRQ0a0BHRgyoiGtOLALIB4+pd66F2BQEKeyqlG7JFh94RhEwkWwT+IZH4t8CLGJ5Jchqxa+EsBrwCMijEbittIDAOfXBDYuMAmbsErOed911l57jsNAXSfdtgQjQu2/fbdM1z0WeRCZsP/zhD9WZZ1qTyE4xAV3gnF3JAB0wF0kG6Hkttr+bALqfdn5LzyHa5xzBxB04Rwo7WtTAr9519RWA3tJu5xcfVrRU9VlnB/wQWdfPmlQb8u4q2/T3tLxnXdvbikpV2xsvu7aZgF5Z85XaMMhOwwGkZx3Qmfgb0lJhRYzvFC+gy3bRpLeXWhPzvFie+gIrh7spiQC9pTZ+QaVs5E6qds+jXIHigBrx9yUqN5M6/rDeYFKOiXsE6K5mz/kXvxzGuCCgXSZSchgBYhYsWKDjCZgB1ij7tddeUyzkYS2RrrCgQ1npaPTlmqTSwoSdhSFgk7y0pFAz0zQF1c/PXDcXgN5Q1kdV/duK0WFFcUeCAL1wqKWlabfdEtbsfrTq9+7fVb61UNhhaeTzBljB7SyNOoDOwuG6QXskBPQ1W6rUkMoNCQGdoHcs2nSFBrkrI8bTfljwMHaD7o1+xsKCsZ1ukMJ0x313Os8P0L2LYonuJyygd6c2ieq6fbeACei4yQDnpIn1E9xKCST3xBNPbN+Nsp3fXQTo23kHb63bQ2PEA4RVPNNU8be//a165JFHFJPgVIUJ/LXXXqtOOCHmo/1GTztVmil+cM7+Df3GqML7f+86Nhmcc7AAuv5sadGDAF0Kri2tdq4BoCMmpH889JvOfgAdMSE9CNDHD3RD7E7r7ZzCJqQLoAPn+p47AZ3PFS/GItNLBcTEvW7gWNVj1ZzwJu4U0AnobdPf18W1H3p87L49Ju6uRpcvBqDndeZpZldD7yGqYoV7fLTOd3/3QjqAruvQmT6Kz0x2gTkiQpPCC/NSZMCAAdrMlMBQEaD79kzONvoBOkH80IaTmzmZAK/0HWAFAIuGmvMkejr+vZnktGZiAwBkosHEhQIzdu4NLS2WRMQ7CCN+edQTATruP+W1S1X9HTfp4iWKezINelHdWtWx2FocDAD0lmFjVN5H76gwgN7Yd7jCDWZW9bFqz3mPORr0dY091NCyVdoHHQ368k091U491zmAXpa3WQOpGaANiCWNEFkWci3JTM6zff3Vq1frxZp9993Xt2gWqjBbpQ3IMBGJfwugAOD3bgq/ORbByAiRTCJAT9ZC0f5trQVMQMe3nECoQQu+ZDriWYJbaCTdtwUiQO++fbdN11wAfdq0aTrXqgjRaf/617/qdFepCnmCb7nlFq0hEwkL6MA5kiqgm3Au1+wocmvn0J6b4gfo5v7lzba5aGlhs+qft9p1bocBrewQ7TmfgwCdfQLpJQe4AyuZgN5nyXTnWk2ffqI/N554vrPt44Y93ffRYAd0OqT6C9V3xcz47rIAXeCcnfOOv0YfM6p+epwPevzJ1pbOezXhXI7Lb6h3Tnmlt13HY7Y8Hav/tLddRQqgt510qWM+LIBO2ixiFwCBJSUl2neL8YcfKN8jE3ff3snJRj9A51kBtCTTmAJT+HADugTS8kuhhgad501YGPa7STScQDXXSFeABYR6AA2ppHvzswRgG1Di57fORKxs4xJt4p5/yW/0dUmz5gfoHZ0B+vBBDwL0ohULVEePPqq1vEccoG8ce6jqOf0V6zeTrzoGDFZ51iKY2rhONe8yXhVurtWAvnPbHFWxbrGO4i6APrDmM/VK3km6brv2rXEAfdWiWTpfPQstACl/uDuQgg4XgVwLixvEROkKf3fuhWCpBDNkcclP2M97jkCBPJsi8W8BP0AnfR1tl8xKBReKA2+PvQujNo5aoDu0gAnoxFohqCqLm37y05/+VC9SE5Q5ku7bAhGgd9++26ZrngsTdzQLBL8wgV8awQR1rwY97wsrUJslcw+7XK21TCzJi15w/x/0tmQa9EwAvfdfb9TXqPD4Un4+MhbFvWdBrSpub3T60gT03nVL1OzymBapojB2HCeIBl1OLtwSb/odBOhyTu3QmN9vEKDvXl2jeitLo+OB9LYZH7rGoAD6zo2fq5L6mrjx2djDNseq+MpeHGjrby9sFNQsV+29Y1YHJpyzXwD9gKrPVM/V9sJOkw+gv1pquwYQ9E0i/KNNAeyIfbBs2TINAkTolnRrQXmq4yofbchKC/jlMEarCBQngiSi7wNSpD7jL2hRJRUz16AbStXk3lsO2k8yTmCpgdVPqgtAEvAKFwwgDU0hlgM8UymLP8a4BDf0A/Si9/+hWuZY0fHFB51Kkgu9sofqqN2gvICet2iu2rJgkfZBNwG9aNUi+/Y6TdwB9MLWRlXwwqOq9MCD4gB97qAj1dDmBb6A/q+Ok1ShZQ0/uk8M0PFBB8iBJkzb8dGWe5QJaCqLG6kO0q70d6duPIO4TxZt/ATTfly5aJMoeGVwb/oBOunr0CoGmf3yO2LhBwuZy6ZagVsjiVqgG7WACehYpmLhhQuVn/zgBz9QI0aM0OkaI+m+LRABevftu22+5mjEMFslirsIfp2nnnpqWkHiyGP9wgsvxGkf8l+205BN/tY9+v9RT35ftQ0aoT8LnPMZQEeqO1bq/0B6EKAvvvkup847/+g7zueOgiLl1aDnL7BzBSP1Xz9a5T99v6tvkgE6BwukA+iAuYgJ6GwzIT3bgG49DFz1nrxhHwWciyyv760m1MVS2vkB+uD2JaqkeZM+xYT0psr+qqPTJF4A3XUx64sfpLf2sM08Xy84UQHoSOlz97lObd7Yeb2r79Q+5xIcDjNlyQOKiTFms2hXmPiitcWENtJSeXsht9/9AB2gJTAbecPjxoTVn5JCDY12Mu1YKmauQXfKJB6IYsykIiYAAJU864h9kKqIqT6ByxifMp75zz7TtJexTOBDCRInGnRfQG+xA2sB6A3jD1Vl62z3mo4C21JGfNBNQGfRL69ufShA31JRrVYWDFMtbUVqVMtnakHxHmpzS4k2cUeD3rH7EeqZj6rUnkOs8izpm28t+g2IpadkG+Nj0aJF+vdJG4p2HU0R2nWi4qe64JGo/bvSnJ56MLboryD3CYI/8X5k/GXzPlMdg9v68SxYMVZMwewXtzq/wFlYU82aNUsvAGG9cMCttntYJFELdJcWMAH97bff1uPYzBJi3scFF1ygLZCuvvrq7nJ7UT19WiAC9GhY5KwFJM3aPffco7Xe9913n7r//vs1NLG6l6qQ9/Gdd96Ji67sB+jtGzfEFe8F9J7rF6qa+9w+Og0bPOnArFJMQNeTSAKcdYoJ52xCC+WVMIDOOdW18+PO9QL6vNX2iunBw75S1WuN3OLWNtGg1wyxg231Xz7D5YNumrjLhUSDXj7pcdVw9Nmu668qsqPFiwDoyOG1z6jWT+MnOGjQAXREIN08PxVAby9ym3cC6AdW2pYQ7XkFLkgXQK/6VSxfPMcxicNklHgHaKX4jy8625kAs3gUAXrckMvpBj9AZ9IMmKAxNgUtItslZ3gYv3ImLoAxi3npCub2aPWD/IT9ypVghAAfEye0/bhVoEVPR1555RUdI4Fgd5QNiAuwySIU/2kbXDdGLHhLNc3+XHVceL2jYVcP3+DSoG8cvrfqteADF6A39h6sSjpTKALo5WN2UXlo2TtN3IMAvXKZda1i+zeat3a1NnGfUXqIKsiz8ngPszT+iz71BXSOn7ui1apjhy+gsx8TcACdBRJMvUW7zn/aQWCd/5kEA+Raa9as0XECUunrdPpTzmGRkIVDLHr8BM3YRRddpOsUAXpwS/sBOoGz+N175xbEq+A5wljBcoFnfuSDnskojs7dGi1gAjpBSFGAYQ3oJwRSPumkk9SPfvSjrVHV6JpZaoEI0LPUkFEx/i2A9vymm27SoITW4NZbb9UTz1SFiShmy3451AXQpUw/ONcTw04N+uh101yXNyE9CNBbZnzsnJN/kO0Dv7p6DzX43cddZYUF9JENtjZ4XWUMgsMCOnAugta7/zrb7HtD75HO9n4rPlUzBxyvhuctdrYFATpwjmQKDLsh2AAAIABJREFU6PXHxlK8bS7qqfpsXuZqGwC9vrSvWt06UAeS8oqpQfcC+mbDz//dTV9TB/aI+cTn/+UWpygT0mUSB7QRuR1/U6CJCRt/mB9nOsFPdRzv6Mf7AToaRdJKkfZOhAUUJtUALjATlDPc254AzujRo9PSXEtZmNPzFzZIGcCFb7wsJOA2gY8goEDKrFSFckgZxaImZZlw7i0LkMXC4OiClRrQW7/7S+eQ4sd/n3NArx28hyrfbAevzBsTS7PYuGS2WlS4q9agb2kuVIc1v6w16Mi/FxWp3YrnqeaC0jgNOvuD/LQZO7irMDb44zeMy4oAO59ThVoWA+jrMAEKU+1Hv+MxYec+MN/3E/r9mmuuSStGSzbq113K8AN0goGiUcQFRoT+JWc0z3+eC+I2EAF6d+npHa+eAuLjb3TH2ZHtPD+wFDv44IMDFQzHH3+8+q//+i/9F0n3bYEI0Ltv3+1QNWcSzGQV/1Cv2WjTrVfEtUXJQDt3uClBgM4xX/X9hiq80q1BlnOHHurOz1xzmm0qbwqg7gfnHOPVoDcMGu06VyA9DKD3L17nOnd5wwA1tHSV3lbYbqeDQwTQ+Qyk95k1Oa7OLZY/pCmpADrnebXoXkCXsgXUTUBnnxfSBdDz161UrQN3ctXNC+iyE1APAnTxUwTQmbgzfoisjSaOfeTdjgA9bljkdAPwSdubghkzljHHHHOM3sxvHJ90wByLh1QkEzCW6wCImFn7xbrw1gX/b+AcSGRsyUICCw7EzBjcmT887D3QPkzAWGigndAIyp/pi81xaGPRtDKOq2e9ogG94Ps3apN4yih87LeBgN4x1NKUW37lQRp06ls36gBVteZLXxN30aAD6BVDRqmOedOyBugsOqDZTpZ2j3eCqV3nN04/CLCH+W1zLawlgoK2he23sMdhxcMYGTVqlO8pzz33nLr99tsV2uBIglsAk3XGuSmYsKMdB8QZ//iaYw3D78NryRIBejS6ttUWSAbojH3mNCi6zOwX5v3gLsZC3ze/GcsYtK3eb1Sv4BaIAD0aHd2iBTCDZeLFirjX78YL6IngnJv1atDZlgmgt3UUqmHTHg1l3s61vIBe2NKgVvfe1TFxL95g+8gj9QPcMF9b7jaZ9QN04BxBgy7Sq2iT2mlGLAq6F851vUKauHMsZu6ICelBgM5xRR1uKEOLjpiQbgK6d1DW7hqLTo8GHdmpl+3GMOTBHzuHmxp0AIdJHNF98UsEvPDL4j+TeUyhw0zivXWJvqffAn6ADmhhsoeJO+4vaNSBs6AAOImuTn57tNapgr1ZZpigdRzPOAIKgC1yVpva23TqQduYfua0Aybz/KEtpj2AdZ6DLCCgTQYsiRSf/+ZjGtCLfvg751baHvyVBvQ2y1y9oL5WmSbuqQA6BeY1Wq4/jVus1cYeqn7QrsoL6N4+EQ16c1uhGlyySvWvme3SoG9qLNKnHDXWKtMjyQKp+fU/QEZ7iXadz7wn8FunvdCu+wVdS+da6Y9+pS3AcNUgmJmfkOEE17C33nork8ts9+f6ATqWJAgadLTpPP/5feAa55UI0Lf7IdJtbzAZoPO+ZAGXGCV+zzTeI7jsYK164okndtt2iCpuvXetznRHhopaJWqBbbAFJG0bGivvqmG2AJ3b9mrRvdpzjvFq0AF0xA/Smze5J6Cl51/ial3gXKSo1p3nnO1hAJ3j0KKjQRc4lzIF0gF0U4b889a4Xk4E6ERxR2bV2wsGAuh8FkhvPfwUp8zmYjvn86ZiOw2IALoEwBPfeuo1fMV7Kn/DGh0kDu15kAikewGd4wXSvYDOJA2tKi8zIBCtLGCDpmXs2LEppb8KrFi0I3QL+AG65P0GXJhMEwwu3YUTNI8EksOkNV3BpxtNJ2n4/IR7QDuH9hqfVr/AdURxx9InbD0Ezr3+5nJ9fLEBdTTLEkCMaNVoBgHQoneeiAP0/Hf/bqVKsDSNFqA3V/RVTSU9HB90AXTiVfRbNUtfJm+pHQMDH3RENOgExcxfZcWWKCm1/spyDuhoPVmQzSTNHb972gkNO3+0r6ldl9gT9CHvFLSsXSGYW7PQEjQu7r33XkUmgpdffrkrqtNtr+EH6PwmebbzJxYtQRrGCNC7bddv9xVPBuhYnGGh5Y3ZIg3Ds455zhNPPJGWO+l238Dd6AYjQO9GnbUjVxWTV4CKyZRXmuf9W2/qeOkp/d9Pg77s8Av1vsE1dqAxU9CeI6M/fFB1WBO7jqaYtrfNyofsFT9A791og2XZW8+5Dt+0IBaRnR0moC+9+ldq5xuuco73A3RVb6dOq99lH/3fT4MuBey79sW4ugYBevXmhfrYojeed87xAvpnbXs4+8aUxvze2dhv+adO9Ge+N/VwR6sWQJcCGotsYPcDdLYD6SJBkO4FdI5fuCJP/eCY2CKH2QD4KRJoDGg76qij1KuvvurkQWeSjClk0AQuriGjDVlrATQApuADDLjgs81vPFU/YrMs/Nbp2yANZZibAOzQjE+YMCHucMAA7Rx50gliFpRvffr06Vp7GyYYJhMqykUkxZhfPdGiY06PNhjTecCTxQTaEx90pH7/M5zAQX6AXlG3QhWgDedalok7gF7U1qR61lim7AkA3VLtq/w6y72mE9BLGu3n8Maew1WvgcPiqmtq0GsbS9RuPRerftW29Q8+6GjQSwrb1SGj3Kkj2Z9taKZ9gTYxh+cz/Ub/iJVNUFT1MOMllWMYO1hB+EUap5w//elPeuw9/XTM2imV8neUY7E0kd8M90wf85tjEYtc6PzuEj1HIkDfUUZK97vPZICOdRDvgaBYTvwWWABkoa+rYmt0v1buHjWOAL179NMOX0smLeRJxsTdK8kAXeCc84a8bkf67tjrAKeYgq8+dz4D6Hq/Bel+cM4+E9B7NLjzfZuA7oVzzk0F0Ftmf6aKhsei3QPpfoBeXbpBrWnsrdIBdLMtWwvLXE27tniw/l7VsTGuzfuuirUZOxMBelmDnVbJFFOD7t3X2mmRwPZRsywtoCXA+atr7EWKyjI7vc7G+nz9f0Ndhy+kM/kGpIA/XmavvfaanpijpWQChylkBOhxXZPzDQLo9MOcOXO0qTgTbn7fQcAbtlIzZ87UgBrk4xumnKCo8owlIABNP5rzRPm5mUD17t1bm74HiaRMox2CNOdyLuAhwa68eeCpV9WH9sLgJMt1hPsHAseyGGlo0L8s2VvtVjfVAfTGXoNUfVk/1WvTMlW4eWPWAX1t6VC1vqmnNnFHTEBvbi3whXOOS5aKLEwfJjqG54Jo1rFIoB9oLzGHJ1ZFroTxgwtGUPDAG264QUPmX/7yl1xVYbso1wR0QB3XGBareH6QsSORRHC+XQyB7fYmkgE6SirmwwSJ8xN5nnFMUDDK7bbxtrMbiwB9O+vQ7fV28Ok8+eSTdWAkryQD9PzyCrVkfzsAnAC6WUZ+la3dRQTQ+dy63p2qbe1M2wR08Hn/6arCpoG7Ot+rFnykWpfZ+YUF0FdMtyOpD/76CAfQ0Z4jpgZdvWcHcisaN14B5/qzAeh8Xz7+BL190DI7zdmSIbHIycOXTXXViy/JNOgcU/7VJ2rLyK+pTACdckxINzXomQA65bZ2FDj3NX1pfPC/RICOtmzevHk6JcmUKVN0ZG7y5fLiijToccOlSzYASJJCDTDF3xw3BFb70/E7NyvNRB1wzmRiwpjheYPVhQjQhPYTzSdl+/n+mfXwiyht7pdgcJLLOZHmHJNvxjAxE4LADh90pPmQb2nTbuo7fqO1iAag9+ynmst7KwF0jkOLvqn/LqqpsDwO0Dfsc6LqM/cdx8S9qecAVbxpbZwGfVXv3dTyhmq1zwhb+2/K/FVWUM98K4ibD6D/c2al6lXeGgjo+Nez6EDQvVwLUdUZi4Ad0E7fs8AhsN6rV6+kfZ1KHRlXLA56A51KGVdddZXW/P75z39Opdgd7lgBdMYJi2H85mlTID1R9oUIzne4obJN3/Cb399dHX5PTNnx6AlVTpDLA2+f7qq7gDvPKd4HQQtRLIDjdoVlWqpBSrfpxtoBKxcB+g7Y6d3xlolaef755+sgO15JBOjAOfL6rrFI7yUFlrbu/RucYoIAnQNWvflh3PXCAvrcp9+JO3fkbb9VAufs9AN08yQvoJupyDjOBPQhG2apAksTZgqAPjR/qeq7wgb+xcMO1f8xcQfMRTq2WBP2vY/WX6tmvKb/L9z/Amd/fWuFGlSwXH/vv/AD/b+9LLawwfd0AJ3zvP7xbEOLXvyL7+jrbLnhr049UgV0tKFM+IFAxtCxxx6rQR0tKJFOIw2607Rd9gGNOaboTCKATqJa0zcAGWCUiaCRFx+8dMvBlPy9995TRx99tC4LjS7+rdQ1yDTZey00+fjTk9bPK2YwOPYFwT7H4QuP1RDjF1gMEgH09sPPdQ5xTNwtQF9dPV6tbemnNegIgL5w8KEqP69dDamdrfJam1XhfDt1oRfQyb6ArB1kRYtf9IH2QcfE/bOKgxVB4L42rDnuHgD0jY0Vqth61qJB/7J+uDpwZMy1AUg/ac9639shij/QTHvnWuhXhMU6BLcY0a6z0AEIYgkhwM5zIxNhIYprBY1z8hYTV+APf/hDJpfZ7s9lYYsAf1iVEBCSRTOsIRg7ibIvRIC+3Q+NbnODfpryly8YqZ8/zFsum5rn3Mv0Kw90LLZYhGKcBy1E8dzCxQtNO+5QkXTfFogAvfv23Q5V81deeUX993//d1z6GYFzaYzij6c47bL5wJOczx80ft3VXkd8aGuwkWwDOmWiRfcD9KIyO3qxSLYAHTgXMSE935p4i3QUxK6dt9Ftmg+ge8UL6LJ/zyXPug4VUAfQ8WstXWgvBiC1ux2i0KA3P/+k65zKgw50vrcvt/30lxx+sbMtCNDfmtPPVU795nYrfVp+nIm75NvmZUWAQSb7kmubCMkEIWMiJ8Gi4m4+2pCTFpAcrvjIMbEWP9Fs5C+nwmgW0NBn4lMsad8AdDTyaKOJBp0IkL2NZaZ8MveJ5hzwS5TfHLNd4ANQBc7R6iYSAN2Ec44F0GcOO12NbpqhSkbvp9tl1ooitVf9m2pJH/t52NhupaWq/1gDOgKk1+x3mqr+YorWoCOVa22rJQC9uK1RFbY2OoDO9l2rm3U/yv3wXwB92YYydciQ+WpxwxBfTbvfPWElhRaIQEe5FhZAWKQLWkhhsUaCzTHhBdCBa/7S0a4zzlmIChpL5C0mON4vfvGLXN96ty6fZzruAgT3I1gikiy4YwTn3brLt7vK+wG6met848aNasLd9rzujoPaNGzz3OEdwjOJSO1+woIyzxCe95EConsPmwjQu3f/7TC1Jz/sr3/9a50yy5T1y+JN3kta41P3mIDup0HfsqcdEKrsI1t7LBKkQW/sE8vP3FIcS+OCifvyPez0Zhu/d15c/2Qb0POX28HekJbRe7mu5w06ly6gj1w4SU/0RbyALtsb+9v+8iag871+hq2ZM8UP0GU/oJ5/rR3UDzE16H6A/t+nuIOOcY4AukS9ZgKOKSSRT9GgAz2YREre6rgKRhty1gLeIHFcKBv5yymHYJKYvWYSAZyI6W+++aaGKMYRweBS9UsG7JkcEbBKJFmkdjlOzP9ZROI+Evm6yzl+gL52+WK1qm2wA+gcO31Rhy+gr+q5qxq07jMN6IsPOE/t9PkLCQF9Q9lgNWhAX90+8mcmhFmy3k4Os3JTT1eAuDCDij5kgcJsuzDnpXMMqbno2zBBBamTmXcdbbto15k4h9Guv/POO/rZ400VKnU/66yztOUGi9GRBLcAbU+wLDOFGn2D5QoZO/xEAH3u9RNVBOvR6NqaLSAgTh3G3/i2U5Wg7R9esb/z7AHOedZKBg8yFphZT3im4Z7FgmIyV6wwbXDjjTeql156SVu9cR0WDrxCYM9LL73UsU789re/rf74xz+66sWC82WXXaZdDKnzJZdcohciMwkKG6b+3fmYCNC7c+/tQHV//PHHtV/e66+/HnfX9YvcZu95yg4iJmLC+eBKO/pwbZOtkdozL2bmLccLpK//+HPlTZPGMX3+309c5X9Z/nW1U+tctahwV9WnKBYQLdeAbsK5rlDfatXSZ5D+6BcRvmb4vjr6OhJWgw6cI10J6Mtet6PyiyQC9O/1f1Hl7znRdTxfgAYm1GhamMihrcU9QoLFYR7GpDoC9Limy/kGJtfiey0XwzcXTdiwYfERwVOpEO4MmAei8U5X0JiTJo36oKFLZ4wwSWLiQVR6GY9hgsExqRLzf84NO8Fq+GqGKhu5t+uWgwB9p8KFqjbfdiUQDTqATiaKyk+naEDv27RCldbXqMaKfqpi3WI1d9CRqq+qUeVN9uSssdjylRw60rke92b61b+/qFINtJ61s1b20xr03n37OVr2ZP2CXzjlZRJHINk1ZD8LKUBeomB+fmVxrywESd51+g3QN7XrfuOGhZ/99tvPNzc31znppJPUOeecoy6+OGZNFPZedqTjZAHWvGf6gN+tGTvC3B8B+o40Qrbte00V0M3jgWGsRVhAZlGK+Q3adaCXGC5YkZ133nnaNSob8PurX/1KXwuXkgcffDAO0LEGY9ERl7VbbrlFPxMvuOACdcYZZ6g777xTdwSxPXieoyC55pprdB2/853vKMq+4oqY++m23WtdX7sI0Lu+zaMrptECPBjI6/h///d/cWd7AZ0D1pcM1JNMRABd4JxtiQC9Lb9YfdExTu1yz3dcgF5cVa4q/+v7ruuX1ixWn42IaZdNQB8y62X1+a2Pu44P0qBvrhygKupXKwkUJyfhg96yyNaSt7fEB2MqGWJHWtdiAbpLLN9eUwB0BEgPA+h5/W3YRz4Zeob+X5DXofw06GjPl1Taadma2ovV+M8fcV3bq0VPpEH3AjoFAemlPz9Hl/nq+a/q/xdXPq7ayqoSAjoBtjD14uWBZg6zdtKt4X+ejomqu4Gjb+m0gB+gh4l6HuZaMnlJN70M/vGYpzPpOPLII9POx44vPBCBmbZozql/omBwq1ev1ib1WHvgApDK5CoRoPcsqlPDBtlAjgbdC+hVBfVq6KB+arPlmmICuj7BAtEwgO7tm6lfFqqi/Da1aG2ZOnz4fNWjV2/nEBYd5M+vT71+4WH6Pd1jkuUlD1sui4EsDAmwM8Z5vgiwi3b9jTfe0NkKgiwymMAyYT37bDuoaST+LcBviue6KSyY4EJwzDHH+J4UpDWPNOrRKOvqFsgE0L1BNLFIk7gZuIICySw6/u53v1PHHXdcYGDRVO/54YcfVj/+8Y/jAP3ll1/WC4vMtSQo3ZNPPqkBHAtGFg/uvvtudfXVVyveceJW+Pvf/14DPOCfyrsu1Xp35+MjQO/OvbcD1R3tOQ+fv//dTrtlSjJAX1cyWG1pcwf3EUCnHK8WfVaeWxMFqIuYgA6cI9OHnan/MyE1Ab163Rx7+wYLvJHOnObzHojlSscHHThvyy/Uh/R49VH3zVmTfJFsAbq+zqYVqmRJp+VBVSz4VMdqOxAc4gfobN9j8zRVtN7Ou4ygtV/YM+bjD6AjJqRnE9BH/DAWvI7r+EG6aNB5men7tV4SvAgAN6wwmAgTuTmshtLdKdG3TFoAmAGATUkUVC2VaxG5lr9EkZz9ymPCDxgC+GjNxR0i3RgFaAiANMy0xfQ7UTA4ximBf7g2i0mpShCgU05DfqUvoPM77VB5SgC9dsk81Wv6y44GHThHAPQvBk5U/fNWuzTo+ZW2xsZvcgWgD6usUR8tH6I16KRYo88ltZy0idd3nevRdrRVJqnywrYf0faBaCxssiXcG3EMBNYxCWUcoeHCoicRoDNuCRB3yimnZKs622U5foAurikEAg2a8HshHThHIpP37XKYbLM3lQmgo2jg3SLWWeZN8m696667NBCzyMvzhndLNgA4CNB/+ctfqhdeeEFnORFhsZLnHe6EzLUI8IyFC8eJ8I7FfYyYI2FcjLbZzsxhxSJAz2HjRkVnrwVuuukmnfrokUfcmlmuEATo7EOLngzQh5W7c6svbxzgVHyv5vdV/UP3ON8BdAFz2SiAzvcBJbHga0PmvxXXAB1FxSpvw1olkN73NtsESOTjunHqiPeuim1IAOgu7bm+2XAadA4F0EVKVlrp40pjQagE0k1AX77LYWpNkx2gDUD3ih+gc4xAeqaA3t4aW6hIBdB5meE3hcYKszCCh6HFmjhxovYZjQA9e7/RsCX5Abqfz3bY8szjMOtLFsnZWy71YXKBBo4JA9oHrCwmTJgQyq/Yr57APr7kYqYeNEFiIQnXCzQgmOUH+SYnaws/QOcczNxNQH9lVqnav9dsbeLOomVtU5kaXrFaa9A3Lp2vqqznwvLee9jWRxZovt+4j9qv4jO1PH+EA+jzCvZQhZu+0MHz9GPHAlzyiPMn/vIA+uamArV6Q4E6dtR8NWBQzNKHexZYF9N4uT8dYM4ycaccv8Btydoh1f1MEvHlzGU6Iu6VCSvPHyw0GAumdp0AgGwDOnk+8Y5jUpupbM++o36ADrRMnjxZP9uDgmNFgJ7pqIrOT6UFAHHTx1zOzQTQWcDkeSGZJ7z1QYl1//3367guLFqlGj8l6P6CAB13HBYBJk2y3SFFWJTkHKyBsGrBjei+++5z9rN4QFaUadOmJcy8kEp7b2/HRoC+vfXodno/119/vZ643XvvvXF3mAjQh099SB/fsE/MT3lmR8w/1QvnHJsI0PudbAeAM8UE9L7FsQAaIxbE+8sD6KasH7Kn67sGdGUFquvMif7Jkdc5+/d6+edq9om/VuNesiP8+gF6a4++qrBunX2Ox8Rd0iWxq9nKbazLAM4tqRlzmOq/xM6trsVYGFDNjWr5bjGzwer18zwtYKVk69SgF+fbZoebWmMp2IB0L6CXnniaU4YZdf7Dy//kbB84PrZQoqvUCelhAJ1JMX+8zIAeXmis4PJSI9AggZh4cWVjZTmuMaINCVvAD9DFJDzT1FqY1NHnhxxySKheAMqJBs1YwI9OAJPJxsEHHxzoK5yocOABcz/80LHcQCPOH+BvjjdMdFkYkFzw6WrrE9XFD9A5/sAeM9WyvJ0cQC8vydd1OWxAQUJAJ4p7bVE/rZHnPvlNAer8EfEcjTqgXpc/TG1qLlVfrSpWIwc2q0NGx7vn2I8Z23ed36r46LNggXULWhVxCcjVQtrHH3+sJ4kSCTzUoEnzIBZsSN93wAEHOAGf0K6zgIi2iYjyV155pXr++edTtgDxq9L27jvqDTbJ+OF3S5C4ICiJAD3NwRudllYLZALoQRfkXckzY+TIWAwQ89iHHnpIu4KyWBUk1113nWJOnUhQiJmR4hMBOpHjWdQ2hTo++uij6lvf+pYGdJ7n5vwdSzcsl3gmBuV0T6vRt6OTIkDfjjpze76Vq666Sk9qbrvtNtdthoFzThBAL920Rp//78pj9f8D58W043xftvdpDqAfsNT2H2/pO1jVPvqw/hwW0De3latxi+L95cMAutwgoP5JmZ23HMGEXgRI9wJ6686xtEQa0hMAOuUA6Sags82BdAF0C84RE9AH1Hzu1EM+fNXHTskkgL6+uadT5/FLntef660IxkWnna2W9dhdjVgXWwwIAnTOMSE9FUAHAkU7CTAAQ0zoMPvixYOGKgL0uG7skg3AGP1jCotvAAwm3pkIZsVo4wkGmEyASqAUQCOAjQmBuEEAUqlqtM2o5mj0uAaaU55dTFgE1vnMtSkfrWk6geiS3R/7vYDONrToXkCfO/tTre0fWLtAA3pbhx2/4qva/lqDvqmoj/5e29pDVRXWOybzZh3Q1gis51llAOgLVxernQc06xzoye5Rfq9omxkH/D4TmcKHuf9kx/AsGDFihM7okGthAYMFASwzRPgtAOlok4jgzn+CyP3Hf/yH9uFMx93Bex/bq+8oz3QzcwD3nWxhzQR0MW/nvEQm7pGPeq5/Gdtv+akAuqlVT9QiyQJb4tdNSlnTnNxbnjynE10Hjbe50BWZuHf9OI0AvevbPLpiGi1w+eWXa20KgS9MWXLBaarP9b91bav88F9xV/ACuhxQsCKWpsw5qaLKdT6Ajji+5J7SF+1ytAJIRXsOnCOZAnqvMhuO92p6T/+fXba/c2XtB/5lzOfHhHMOSgboeVs2ue4CDTrSb9knOpe5o0EPCejL+rmjZgugU+buDR+4rgWgiwDqiQCd4wTSUzFzF0AnCBTmq0yOmcyhKdOaQgvgIkCP+5l0yQY/QMcsHW0sWuxMBNgR//GgchgHrPhjho7GHkD3Cr5zxCtAIxxGxLdafOu9weDYDqQD62j5gXdMm5kEAWFmmpww1wt7zKeL7YWQvUbYMS6Qv7xVrs7YeYZLg15aZP32rYWsttlva0CvaK9TdXm94wC9XeXrMiToXFA9gO1pC4odQG9a8qpOScY1uF9vSjLaR/K+Y+rPb9OrXTdhLFmgubDtQ8ofNFHUK9fC+OYeg6w7eGbRNmi+qRdxV1g8yFS214m1H6CjNWSBA8sVP4kAPdPRFJ1PCwSBt7d1cgHoxGvhWRqU8YQYFrxP//a3v2W1s5It9BHjZ9AgO7DwU089pSO5m0Hifv7zn+sgcfKuo5533HFHFCQuQS9FgJ7VIRwVlqsWuOiii7SvIwEpTAHQvTL8JLd5q2neLhp0OScTQN882M5xXFM23KmCGYxu7KrJKr9xs6t6QRp0CQ5XNMQOVjRp+GUKQBc4Z5sJ6Hxf12AvBExof13ltboj2uZbYJ3fYgM+Ypq3890L6PqYcnthwm9fMg16uoDO9Zo7LDrolJ222Nr5z875sbNNPlTvFguelczMnckuE3pgDdMqVox5MfBiw0SMSTImxZGJe1wz53yDH6ATnI2XuWlSl05FSOeCVjQo1RLQhwaC8QAI4gvsJ6TD2muvvfR4SSZiom1qe4PGFWZ9mL4D5hxDPSRNTpApfLLrp7ofQN9/pO2KM2d6xJGvAAAgAElEQVR1L3XAkCXaBx0RQO/fsEStKN1FLartqzXoKwuGWc+bKlVdVqsq8zepgZ0TsUTXxg/9bSuL5cR929TuA+od7ToachYnxG8dc3YmnfQNfRKU91181wXcs6Fdx08T6wlMzHMtLNBgxk4mCT9hcQkLH44LM+7C1nd79R31A3R+t3vuuWfC/jTTrZltaML7U6f3U2c9Z8dYCAtjYfsjOq77t0DYMZELQE8WN4Pc4gSpNP29M2lx3s08kzCbv/nmm9U7liUkQhBPnt2SZo1YHuznWKx/TjvtNCfNGouTBEwlMwqgzuI4xzCfj9KsBfdOBOiZjNzo3C5rAfI68kD42c9+5rpmVwI6F24ui5/Qhwb0dbZ5vUjHwKEKH3QzcrsAOsc07RTTNPP90xL3xK6uqUQX5QX0wo32ddrLY1qEvLYW17UTAvrmOvJBuetau8H53raLnU7NFLNd5hS5taCJNOi6TTsBfbdPHlaqsodqGGIvfCAmqKcD6OTF5cWA6SjmxIABUUOZJGcreEpcY0QbEraAXw5j+ge/bczKM5FEqZZwcWByw/UJBpeo/99++22tXU+mWTX9p9HqBoG5RIkH0AF/EwjFNNzPFB5Qy7b/NYA+vLrVylNerwF9vyHL1PBBNqAmAvTW9kLVt9COb5EqoO8/0o4Ij7B4hiuCmFkCWiyeERSORYowvvimK4FfoLlEadzM8UWAIvo5aKEmk7HoPZf75dkTlGGAsUFaPtojaJEi8h2Ntapfukbii/C8T+QakAzQMWnH0uHMZ+zsK/cdWaQunuJ+f6Y6LqJo8am22LZ9fDYBPdU7xU0G322A2E9+8pOf6LnOn/4Ui+eT6jXM4wFpv+DMBNsl3gMCxP/whz/UUduxjvr2t7+t/vjHP7qe5fymLr30Um0dxHvt+9//vgb0SEkS3DsRoGcycqNzu6wFzjjjDD15/9GPfuS6phfQTe15/byvVOWYkYr/BWdfrM8zNei+2nMOCjBxZ5cfoK8vi5nIbmqLBUeL06B7AL2lMwqyeUNhAH3/2bbf/Ou7/D/n1IlrHtafW3tVKz9AZ9/mvra5ZNViyzS+IxYVXQpxNOhJAJ3jvZButsv7rd9w6oUVgBfQ2WmauQPoGs5FDEgvqV2tPvqh7dawz32/UE1VMV/R8gXTzaZT7cdc6HwXDToaMoAIky8sMPCDBQaZJIcBAdcFoi9ZaQE/QMf0jYj7pKDKRIJSLbGCL7nWw/h8M9FHs5rINzksnIv5NosHmPATLC5ITFN4gI5xzLgFOFgsyNQUHvibMWOG2lR1SNqAPmvDTmriuKak3WRq0E1AlxOJOcBkkwkdrgRAO9YETC5Fu46pcrIJnAC6QLu4G3AdvzRuZsXpZzSuQSbRSW8yhQMY4yxCBVmJSHBDxknQokzkOxprcD9AJ+AUFlOZBv0jUOHpT8UynaTQzb6HRoCeaQtuW+dnAuhhfc2D7hjAZYwHLUJdcsklWpl1ww03bFuNFtUm5RaIAD3lJotO2BotcPzxxyv+LrwwBmHUw0+D3mdMLKWP1DU0oAfA+ZZnntBF9dw/lu+b70v3PiOuOQTSAXQEM/f20gqVv9zt754qoJcsiPmcU+7TA65wrv3NLQ/E1cPUoLPTBehs8EC6C9DZ36lF7zC053KRPKudWgeOUIWr7FzwW3bey7m+CehHbHzS2d7cy/ZPym+LmeMXLezMxW7W3gJ0kfZK22Kho9D2of2q+mBnX0Vevf48+LOX9H8T0Jm8MTlnAo5PImbt+KIDQExy8S+OAD1uyHTJBj9Ap0+YFIcJ7paokgAoq/hE6ZegZKS2mjVrltbQSmTwZDeabKJvanATac5ZMACISfvEQlGQZtSvPoAmwIpmPRum8AAxEesxS1xbvF8goFOX5tIe2sS9sa1EDetYqE3c0aCXWFkaRg2JLUImasdEgE5MCOrCJJPgdALh9J9AKMBO2wqss1ARlD7LrEeyNG6mdh1LCawpaJNcCwuDQDpm/H5CexAcjv5OtiiRSl23V99RP0AHXnjOZ5LXnt8dC7vfecXtnkab+wWMCwPfYQPSpdKv0bFbrwVmXHWw2vv37yatgB/IZwrovJuwEglyy8HaFAvB//mf/0lav+iAbbsFIkDftvun29aOvIi//vWv9WSZ3MS8NM8991x1zTXXuLRAfhORu+++W5u/8KJ87bXXtFkyZjv4tGA6I2afMjH2QroX0DvOdWvdNxTbpkE7zXja1b5NlvmhSMl4Gzhr33DnMk8G6Eu2DFC9S+wX++i6D53yCrbUJQV0U3vOiaaJe+s//64qdouZfrPfBPSvDV6lRs3/p+t+kgI6RxuQHgfo7Cc/bwCgmxcLA+jm8a1VffXXZIDOMUB6IkD3M7dl8oa89dZb2t8cH1fgDO0UcIAmM1NtpKuxoy+hW8AvhzF+yYBspvmfWYDhmYGvGzCMrxvmd2hJU4nUTRRcgvB482MnCwZnNgL+8NwTYInpcqam6maUdODVjAqfzBSeumBBgGYRy4Apc0ocQK8obVfH7WHHq/hkUbvqW7JRiQ+6APqHm8fr47MB6GLNQPsSoC1Rjnj8sgXY8auUQHNAu+QPTzTwzEBz9B3fRbjuu+++qzXaXQHoaM8Z54xFP8G3k/ceAQyzAejbu++oH6CzyMHvLd3gelisYIrL74tyvvV8Z8rSzg7zAnpY8A57XOiHaHTgVm2Bj3/2DbXPze8nrUMuAB2lA1kuggKYYm166qmnqssuuyxp/aIDtu0WiAB92+6fblu7V155RUdyPPvss7W5DRosAr2xuodvijlJ+stf/qKOO+44ZxsPHsweeQGjdQKqgHwEQAfURdCSjXrkDv3VT3POdgC9x6o5zjnLh8fMaIfOsFOAISag871xbSynuRyTDNA3tMR81Hert6Ovi5hB22Rb+0exVdhCIyDVlq8Wuc7lSxCgn9Bnmj52ZelIN6QbfuTtZVVag15ZYy9CbO63k/5fibk7kpevOsps09s8TNwN6aiLbwc06KYIoJd+8oZ6c/zVlrYtXxXmtytTg24eL4DOtjhINzTock5bLzuIlZ8GPQjQmZAD6EAfmhU0dUyQ0dLxgosAPW6IdckGP0BHUwwUT5w4MaM6UDb5WMlhjskwz450NKQEmiMiramJE8ATyPNGajcrTsA7nnksCklAuIxuzHNyKqbwAC4LVFgQCLg8+EaZ+saoWu2DbgI6l1mycr1aucVeQKssblKr6ivVUbs1q2nzC3SQuFQ16ONGFanTvt6gywN8yKLAO4GAaKkIFgBiTcDvGAsY0a4D7snSuHEtU7tOMCNgTNxdxBw+04WUoHsCvFkc3H13d2wROZ53JhHcsSTJhmzvvqPAtGRNkPaS1IVBOaITtSsLQAA+44qYBHz/z2drXKdEgJ6Nkdn9ywhj4i6a8vE3vu264Uw16Mmsfo499lh18cUX6yBskXTvFogAvXv3X7eqPREe0Y4TKEeESdFzzz3ngm6/mwLUCSgByMski5czf9MW25PJg57/nm97VE082rXdBPR8ZWtUBn8xSTV94Z4YZQroZYWNaqeNVhjjTvED9BbLlLRg6sv6iHQAXeCc8wF0kVELbLNvUzpK7KjviAA6nyuXfKa3CaDzGYAuWhUzyTchffUU98rxwJOP1ibuwDny+u7X6P979lqgBixxp1hj++dDTtL7d62zFzBSAXSODwPpQDhjg9VmoI//jCFZ6CEwVAToruHRZV/8AJ3JMBrEY445JmPtIYDOAh9/WEqkYlYujYBvNObXApGmv7mAnF+DSQo3nnGAWFAgn2w2diJTeJ6VWDNRF69f7udLm9XSWtudRDTofBZA71myRedDF0D/+7/LNcyfuGcsO0Si+xATdwF0zLuJoI81gaTjSbcdZIHCDDSHxlOAPVkASFkoGD16tO4jv0BzsgCTLWBnTBCokPv3k3/84x/qrrvu0lkIIkneAn6AzqIYgE2/piKMB6xdsJjBfFisD85+Yb2rmESArt9pv3rd97KiQWec7Xb9lFSqlvKxs395hBp3g/0ujiQ3LRCmjadfeaC2mvKawmcK6ARnIx4TFkR+gsUgkdzPPPPM3Nx8VGqXtUAE6F3W1NGFrr32WoWWgMjaIkyCyEOM+Sbapu9973t69c87KeKFe9ttt/mawE763I5mvjUBfVCNrYme3WuCc2+JAL1g3Up93MLdTlGD6uaqks/d0BtWgx4W0E0457omoBdYPuFly+c6gN7YZ6gqbLE1XgLpiQCd46oP3ce5bwH0iVv+odYOGq/a8wpcoC6APnbjVJ3+zQvoW+Z96fqxlH99HyUa9DwLutcMivm7Uzbi1aID6FhgEKWZFWVcLfBFR4vFBA5tejrgFv2KM28BP0AHXJh4AOiZABHAxvMFAMRKIt2yJKAc2u+wweCYfBPrAC0vCwNhc6hn3qLuEsQUnrHOwgcLUUAoCw6mKXxXAPraTXYKxX2rv9QWDfRJogjb6bQF/YNmWmAdE3oC8UlgPfrBNBmnf9CcexcKcpHGzbwf3C2oKy4GfvLoo4+qZ555Rv8OIkneAn6ATgpDJGgRxFsq/QGMMzY5RyxmcEdgQemcF93WY+kC+pzrjnKeI3v8xu02l/xOUzsiDDymVmJ0tLcFkmnQ8VGXRT+vKfynVx+S9nuJMkkliIWYXwwdxjPxdcgvTsymSLp3C0SA3r37r9vUngjNmJrecsstrkBvv/nNb3TOYrRdkydP1lryq6++WgHzpvDiZALzjW/EIoSzX+Ccz36A7tWec5yfBp3tgxfFB/2onfSaqx5eE/fWIbu49nsBnZ1o0U3tucA5+wB0pKK9TvX/4DmnrHQAfWbH11R/ywQV8WrQkwG6eRMC57KtcF7MCoBtXg0627yADpyLCKQ739vsfOYA+qdVR6h9ZtlR6UW8gF46YaLqsFwZgHPEBPQB7z+jt3Wc4c6bDpwDKmijCBiGVvXQQw/VEzEiNrPgEybglKti0ZestQBAborpO56OZYNoroEgYIxJSia5pMVUlkVD6sbEKFEwOMYbZuQsDBEELJkGN2sN6VMQdQVUMOHG35k6iWm4GRV+5vqYxU0YDTrp2UYPblaHjG4NVf3/faVUDa620zX2rP2XXrTIpE9CXdQ6iL4wA81xnmjXaRtykSezbjB91zNJ42bWmevyzMHVwE+wLsMl56WX4q2fwt77jnQcv0vGsyn8/nm2kKkhmdCvWHQwVrxjU9I+nv+vTa5i0gX0z39xuAZ0RCwzcqXljgA9Wc9nvv/RE6qUd2yYpdIHCGPMuyCD/3qy7BJBNeTZhqUZwVT95i+MMSxAnn76aR17J5Lu3QIRoHfv/uvy2qeTh5WX3YQJE/TfAw/ERxs3bwKAJz0EWhBTmGC9+OKL+kVqyrKVa/XX2euHqHF9lqteD/3StT8TQG/+dLpqWO0OEqMBvUdv1fZVTMvbsVcsd3MiQDfBXCppArpsA9TDAPrm3dx50YMA3QvnXEc06BVr5qvWz2fqS7ceZpueF75tBZs78CinHV9qPladuuj3+nter75q1bPxE8hkgK5fVp3a7rUeQGefCel+gJ6/zHaLWLXf6a7+DQJ0oATtIdDEuJs0aZK2vsAEEjNYfBQjQO/yx4dzQfpHJqxsFN9x+orFulTEO9FGOwqA8cxIVygDyAbQqVsif3PGGRp3TA7REG/NcQWwMOaBFO9CgdcUfkOFbe2za8UXWtuM1pn7/GBBJ1R7TNwB9NbWDnXRUbZ1TTIRQJ8xq1FdcXqdTp/W1cI98y4Bwojmz6Id94mFBc8BgsMlC8hmBgYUWDdhSxZukllr4FvOGMEqw0+IzYIFBrFbIkneAn6AjhsB8SxwZ0okkl2BfvRbUMMVirK+++oWVzEmoJuB38yD/Mzc0bj6LfDlAtIjQE8+djI94o6D2tTl02zrPT8RQGeft49N7bqcK5klkj1DeK4T2JK5jN9zi/GMMgs/de9cOdN7js7v+haIAL3r27xbXzHVPKzAOQ8TfGZI95LsAcTDh5U/XpCm/yYTG8yV/cwDBdJpWBPQ/eB87VA7xU1Tvg0B4oPOZ68GHUBHTEjvOfEoF5wvnfgDNbQmlo9bAH1Usw29K8pHK2t6r0bPeTau3wXO2YEG3ZSS1i2q8Ol7XdvKRgy161xuB3PzA3S2o0U3NegAeltZpSposNOS6XOtIHHAOSKA7rqYB9Bl32kb708K6PrYncc6xaFBFxFI77durrMNLToCpHvhnO1o0AXQp+5ua8pHlS9WAud8/2zMRB0kSv7YxuR7/vz52uoCE3d80fEtxqWCYFlbE6Rcbb0DfvECOk1A9HXSw6QSUZsJC3AMOGGhA1TzDMFCIpWo7WYXMMlBs4bZNAs5BIwKCkBGsDK07QAfz6ZksJfLrpa2wHUDQEk2vl+ZVaqrM7D1fR28zYwKP2PNIDWkqlb7oH9Z01MHeUsF0OmPXz9e4CSJuO58W3u4tWT58uVac44Zs6RalHuWPPOkLQobaM5Ms2cuNCWaaLPog7l9UHC866+/XgexfPDBB7dWM3Wr6/oBOm4dkkYz6GZYsJFo7yzk+fU5FieMF+YiJnCnC+j4I/tZ1SQC9HRAW8AwF+DfrQZHjiv79g/Hq8P+147d4yeJAJ19EmhUrLNkEZCyEmnXWQwm4O3hhx/ue13K5TnG2CUQZyTduwUiQO/e/bdN155JEXCOueljjz0WavLz5z//Wf3sZz9TpNcRHxseXkx80C6QmscrJqADwyLDl7ytlgw/TH/lM+IF9KaOUrWxuUpVFW1RY5a84ipaAN3cWGBpX0zxA3SBc44D0BHqNfKNO1XBoCHO6S0DRsTdy4ZeO+tt/da4A9Y1TLYCX3UCOvuBdC+gP77Y1qhfWPGkymuyV/5Few6gIyakq3bbPDAZoHMMWvRvWH6kA+e9mRDQN822LQuqTjzZuTcT0NkIpPsC+vxH1BZL++eV8l1iprgC6Bxz8MxbnEPn73WyK3gg44dFHaAFcMN0FF90yW/NKnMygImrSLQhay3gB+j43qLNAojDiKTrwmwak1aZaNPHaCnTCUQm/uZo4fBNZbKPoG0F+IE5uQ6Lj5iSY1KYSd7lMPea7Bii1QMdtAUBEJMthFLejU8WWNrkQvXjk5s0tGISz/0CJ2jiB485MA7QvzvBrVH0qxdlAaMvzPraNgHo+BNj+szYMk3sqSfPCTH/51khadywKAhjySEadQH2RBNtgpBRLguEfnLllVfqZ9Kdd96ZrLuj/bxHLBiRdJrSIMuWLVP8LonM7yfsY/ENeEmUXYHFG6ytsOjJBqCjccWChP7nTyw3IkDvnkM52eLJs/9pW+jwPDGjuJvgbt65ueCXyKWG9xIL0pi4+wkATzBQrIW8QUG7Z0vv2LWOAH3H7v+c3b2YtaMtwHfcXKWWBwcm62jK0ZoxGWKCfsUVV+j0ELfffrtTN8zR2E80Yr8AQ+Tu1ZPokg2+91PebvuR9Vv2iQPodXm9nWPREiFDmuaritW2VhlZ/VS81rvfPu4UOQA6Ilr05vJYuWwXQOfzzm/8WR8LpLetXK7a946le/NWvKDZx4x0/ueuwxr2iaWk2lzSW70wz9Zan7Xzx6pqjTvQGoDeUFmt90uqtVQAfV0vG5KL2ptUy03u+ABsL+trR4MWCQL0Puvnq7V9dw0EdM73QnoQoOPSd8hnNqSbPui84NBE8SLD3xyzY6ANX3RMvyQ4VBhtmbdfou/ZaQG/HMb0TVjTdCYgTKDx58UM3dRco2EgGnOq0Cxwbpq0i4k0adMAOZ5FaCjYDtyhqc7ElD4brUk9gD/ul/YIq8U3Ad2sh5jCr6grUktqrXRTTflqcOtbDlyIKbxf3elXLAr4Db487wAN6FtTe847Y+HChUkXfrhnJrdiIcbzgwU+iQrPolGYRQ8zjZt3oo3rAXAetHB06aWX6v2/+93vsjEstvsy/ACd+QT9zZzCO6bRKgLw/GaTBSrkN8WC15FHHpkSoDOOxl432XVtoIwFScYWzxHgX1K5edO4mScmg0C/Do406F0z7JP1zT++OVD3N/3+o3fznUoFAbpZazP+hSz4iZVOXV2d1o4zvv2eR7yjeAcA8qlYonVNq0VXSbUFIkBPtcWi40O1AObs3/3ud32PlYcNEd0JCIcZMg8lzEkvvPBCxUTF1G6i2WESTFRVv4eOCegj/v24vubi/b+t/wuceysigC5wLvuBdJH6O26Kq38QoHNg9eZYWjI5UQBd4Nz1IE4R0BcPjAXIGzH1QSWADpwjq9sH6f8j2ux7MCG9vn9MC125ep76ctixrnvb+ZWb3fdqmLizwwR0vnshPRVA9zaqY+JuadBFTEj3AvrYUnvxoaXANtEdMGiwq0iZuEm2AAJlAetYc7AIxAQNbWgE6HHDu8s2+AF6GNN0nh1oQ9Fu069+ZuzeFGlhbsoPzv3OY4KEBg6YY5xhsixasUTgGqYO6Rwjqcswr091QYLr3fZiidag+8mcZQ0a0NdvKlCHDJ2nJ5xeU3gzKjyTUaAGU3l+Y795onCrAjo+xIwTLGhYqEtFsCDgXgXY6WszjVuYQIbmRJsJMwsXLA4K7HvTuLEwTV2vucZOUxlJ4hbwA3TTNF3OlkWjhoYG3b78TpMJ/fXBBx9ot6iwGnR5huz+6zddxXuhDMsNxiWBcxkDJsCZJyaDQL97iAA9Wc9mvj9ZG8t+xgOWTfv/KZY28cGjS51FP94dqSz6Md559+F6JTEWvC41shjJszia32Te11u7hAjQt3YPRNdP2gKYyjP5ZHLsfegInFMIGvQwgL6s1fblRiqsXOVeeWOOHWX8tBfdAcn0NQwN+ur3PlXNv4hFIM8E0ItqlqmW/rF6+WnQTUCvblisBMypl8A5nwXQ+Qykm3Au97qy2DalF2m3TPB3ecVYkDAAvWjDKrVqZ1vbjwbdlMIH4xcx9HV9TNwxbc+zjP37rpvnKgNALy9qVLt94RMcaXPMb15OWrvPic75QHoQoDMBwpID01bcIzALw88Z80fTVDluAEQbct4CfoD+/vvva/9ctN9+AjQBOUx6mGgHaQjQJjP5QbOeTERDISaGiSK1YwJN2RzDBIlzxSRctGLAOosGYSdfyeqXaD+TfBY3c5G6jOtKhoxjdo/95v1M4fktcb9oJ/mPFQRtdP1j1q99K2jQ6Rd++7w3cK/KVJNEebx7BNaBN8yVRbsO/CeyWmBCbca+CAo0961vfUudcMIJ6vLLL89kWOww59IvgIgpLOZjqSA+urQ9i0ZAeZi4DFIWC3BEy8YtKlluc84ROKdvGQtm5G4voJuuMVhMeIFe6oDf+tdvei+l/kwGjykVFh3s2wJBbRykHRc3BtKrmYt+jBl5hvAMTbToJwvTWIgwn8ECw88UHper4447Tlt3hYH/qIu37RaIAH3b7p+odlYLMAll0ofZoVdMQN/n07uc3WjQgfWafWO+0LIzLKBz/H+OtiD8T9fpU71wzrYt18ai0g/e4jYrX1a2q5qztp8+98RZ7ujybBMTd+Ac2Tx8D1XcYOddTQboZlC56tmT1Wdjz3Xu3QR0NuZ12OnJTBFA36Vmqt68aqAdHb/6pbv1/6KxblP+IEAva3JH2+fclsfujQN0CQ4HoCMmpH/Z50A1vMkN7RVfdaZ2SxPQgTl8T/kj2CD+ygcddJCTbi2syWpcw0UbstICfoBOSjzcX/ziTADlWEEwMSE6baIc9kzQmZAHpbOSG2DSI2CufyfWxDoItIAy4Jxxg4+3d6EQcGXyhQaPP4TJF8DO5Cub8Q5ksiaLT7nKt+4H6Gbniyk8IMwf302Lgluer+pyQKcOpFLEsgA4D6MtTXVAs1AjfQ0QMhE2J9pmXzNuseQBxMygTaZ2nc+AJgst55xzjrrttttSrdIOebwfoLOQwnOE1K2Yk/MsYNGPoJFhXT9oTFxZyDd9zDHHqN2un+LbvhLF3YRzc4FPwMzUqLJwxDsJ6x9xjQnyQxe/dW8k+USdHQF67n8KQQHgwpivm+8eyS7Bwh8LSSz0yTvDzC7B+GIOjFvXvvvuq11vRMSlRp4njzzyiLrqqqt0eYnekblvpegK2WiBCNCz0YpRGTltAQIOkcOaCalXTEBnnwnpfPcD9GZL67qmqZ+v9pxzRIN+YV87L/nahx+1J9yd2nM05yImoLOtvSPmb8T30nxbQz9o/SyVP2Oaq/oAusA5OxIBeuuH7hztG0+8SJcFnCPbEqAvLBmn67Tbqted+10z2F4AEEA3G2JDRx/9dViTe4GDbRWfveNqM76E0aAD6ET0BayYtDFR32+//bQGHe0KGrBohTmuabtsA/0D1JoCgGMy7U1DBQwBx2jWCciWrN8wQWdy4pfxQa5nmrSzLVGZADf+7kT+9/q7+zVYkN+6mMJL8Mt0GpuJGHVhTGNFYE7W0ikv0TnJAJ1zJVAfiypAqJl/fOrKiWrezGXqjv8p1f2arN8yrT/tjqWMRPHOZdtIXekPtFVy32heJdAczxz6KllsABarMG8HJp955hmtIYskeQv4AToLIlOnTtWLIbg4EDwynWCR9MnkyZO1iTsLLn5adAA9CM69tedZx1jgfcQCo2nVEQTopONiXE18IJbxJFmrRICerIUy358NQPfWggUheYaw6MeYA9ZZxOEZK3CeaMGR2Csnn3yyOvvss9V9992X+Y1GJWz1FogAfat3QVSBZC3Ag+fUU0/VZoteWd+ZH1u29/vYnaPbBPT+06383pYs3+9MX0AfM+Ovqm1IvFlsIkAfdFTML5yyv/zGxU4Vd66drlb2tmEVGTLF/dAsGDLcdTsAOoIW3dSgN74xSW8vrHT7zhXvHPMrTwToFbW2hl5kS49BCg26aM/ZLhp0PqNFNzXoS0ceoYo6Ymauppm7V4NeWrdafdHfTpuG9M23o2CLeAF9fUdfB9qb24rVLq3uQHgVcz9QlnrJVUZYQGeCxosO06eRVkQAACAASURBVFtS3LD6jA86ky6CDuYaGFyVjr64WsAP0L2abya/LLLgd4fvblgfa8z8EM7xk7CTas4VM3K05ulGxQUagHw0eoA1mpJ0/NbFl5bJPhAXxg86k2GHf3pTU7v6nzNbfIth4QSXA2DImzqMOv7HD62gmz0r1SUnLdBR4SWdGRPPbNedPiXPOFZWaM7DRGDPpG2CzsXPmb5Ggw+48/wBEOlvv0UK2uWiiy7S8MazKd3UgLm4l229zCBAxzSd5306sQfknll4mTRpko5bwoKaF9DnXHeUA+eck8j6xusa4zf2/SA9CLbvnmAlh7Xqx5jyBpmLAD07o/bFc4ark/+2xLewXAC6eSEJcguwo5TiGYHlFpaAPDv9Fh5Z3D7ppJPUtddeq37yk5+kZC2SnRaLSslFC0SAnotWjcrMagtgakbAOTRjXvECenmjbQZf/rmtrRZAFzhnG4COFLU1qeoZ/1Lz9j5PAeeIF9D/XXW8Gnnn2fa+ZjstmSleQG/dbV/XfhPQ2WFCehCgc1ze87GAaVJgtgDdyX1k1NQF6OvmuO5hVZ+YuXtVy3rXvh7rvtLfG3sMUMA5YgL6hsbYosLAcrtvqlTMLF6051KoF9I1oFuyYfcj1Dsb9lSnrLhdrR1/tFMHPx904IA/TF3RVABFwASRT9GuCKCnYvIY1/HRhoxawA/Q+X1rbZWlJWeSAnABtd70WMkuTL8Ds7jFeCUsnHN9ysHnD41X2NRvyeqGKbOYwafitw74MQkDPDGP7YoAQFfe06L69iv3BXQAFKhk4SKRhvK0S+aq5+4ZozWH4q/P53QXKfzal75i7FAuUOaXbzpZv2RzP1p0zNqBbSL+i2aMMc93Jtk8l7Di+cEPfqBNskkDme4CUDbr3t3KAn5F+I3g6495LxZ3mbg38Jx49dVXddwSgMgL6GYu6zCuMcnSH3oBPVEe7c9/cbjWqvIcOfUJ9+K7mW89yoWe/mj2C9DnZ8JutnEqJu5haoZCCuUCz1jJMMECJO8A0a7zHGEBm9gVP/3pT7V5ezSvCdO63eOYCNC7Rz/t0LV8+eWXdfo1icptNkYYQDfhnHMBdOAcAdBN8QP0sUVzVcPv41OLcV4iQPfCuXmd4XPdOdfZJxp0PucC0Dc8bke47332t+LG05ZedoC6ulIr33NIQC960vb5Lzv6eFd5yQDde/HWzjR3bAfQEdGkewGdfRMr7cWX2vKB+r83SBwTYSbtaFKZEANFpFsC/HiZkTqHSXz0IosbBl22gQUU+skU0sewHd9xYJQ+TAe4mNigtQZkTRF/c/4nCgZHvdDmY3bI4kCutLFh/dYl9y0aszAm/tnqRAD9pu8XxRXHpJHFi3SD0wFVkns8UVT4MPdBX+ICxQQWzXm2NfNh6mAeQz2AROAcFwt5xgB8gKPA+mWXXaY17IzTBx98UJ1yyildsuiS6v1s68fzbKdtMQvGDQYtIz7euDFlulCDOxSLukCQF9BnXTtBN00y1xjGJi47yVxjUgH0RPBu5ls/6bHFgd23rWna04lYn82xOe3yr+l3DpmEcGVCEvWJXDtXgC4ZKLD6M90heDcx1nl+YimCxpz9jNN77rknLXeObLZjVFZ2WyAC9Oy2Z1RaDlrg2WefVTfeeKN+IHklGaCr/Ly4c9Z83Q4c54VztvkBOttHlyxQzb+9ylWWF87ZaWrQUwH0LcPGqZVluzjlD3ryurh6mxp007ydAzFxH5Rnr6b3m2HDf90eh+v/mLgLnEuhAunNb7ymN7WeHkuJV7rZbZbup0EXOOfcwooyVXSQfS0EQB/30b36c81+p6l5DbYp/piyr5SZf16O9wN09g1T8WnrSlpiUd0BdC+c63vpBHQ0fGj3mBiz8ixpedCKRIDudNdW+eAH6ATCQTMEkKJxwn80HU0xizH0t/jyphIMTjTVjA8AtKsC7YjfupjCS751tHcEYGOCz0R/ay4qUUfalj+sCuijTCUoKjyLEclM4TmXhRSAHzjvqr4KumfGjmjOTTj3Hs9z6Mc//rGaNm2aXnDhvXb99dfr9KKRpNYCADpuMCzu0Za4WmCaTkDQTKP3T5kyRY8rCcIokP7ZNYclXODjd8IiAc+zVFxjEsFe0D4vRIrfOs+Rs19wW7uZLRsBeqw1pl62l17cIZCgGaA0FUDPpvacVGmMacYeVjZBggLi/PPP14uBvC9QPmDZlM47M7VfXXR0V7VABOhd1dLRddJugb/97W/q7rvv1i9erwigb8i3U6MhLe2FaqfG2ar8i/gUJQLnHAegr9n7BBeom4CeN+dTtf6QbzrlZhPQ+21x+zeVfviaWnjY951rleVtUdVrZ6vm12y/ecQE9MKqSr0tv1+1/r92t8Od4wTQZcPad/4d124VA620HkccrcIAet6/33TOrz/qbGXCua6XBeiIQHre4lhEdgDdlJqOAfprSX7Mr9wE9DEr7KB3IrUDxrq+hwV0Jkm8dFkNl0jLTJrQsE2YMEH7FW5N2InrkB1sgx+g48+MSTkTpWQap0TNhd84E1QmOKkEg0OjSR3QwgFYWzNGAZpVLAGYcCFbO9+6REenf7BqSDRxTHcoS1T4MKbwjB9+3+KPv63AuVg5BD1bgPOrr75avfDCC9rnHGsR7gGXjEw1vum2e3c9j7ZkDPAbYcEIaymE4G5oHjPNboBrHVY4lJuKawyLBbjmUKdU6pBMG8t+Lwimonk3+3nmzw/V7kTbghn81l4s+PMhHWrs2LGB6T290fhz+XuRBdBkcM7iz/HHH68Dwt100036XcU7IxO3jlzeV1R2ei0QAXp67Rad1YUt8MADD6innnpKT2q8smDFJlWev1ltaY/5OgPoyLhPHow73gR02Wlq0gXQgXPEBPRerz2q1nw4W2+v3s9KtWQFezIlkf/5kDXT9aHLq7+u/wugA+YiTfscqVZUjNFfR6z7yNkOpPvBuXnt9Yf+p/46a8sYdfi8O1z1CgJ0V90tDXrFhqVKzZ2pN7eNP8DZbQJ6U038qrwAupxQPCSWxzoI0Dl2aJutIV9ZaAfL88J53pL5evvG/U7S/00453syDTqmpoAWUMGLCwBDs0oKnmgy7BoiXf5FrBm4sKQNY3KC1gvtVyYiab+I2i9paBKZtHMtxgg+734BzzKpSzrnmppqAAEY9vNbBwa7Il2gxAPg95PryPFmewWZwgNMjBX6FAjKZgq7dPoL7RWac4LgMdFPBOe/+tWv1JNPPqnhPFGWgXTqsaOdw+8ELSLZHUw3FPz5sX4RYE+3XbBsoD/pV3GPSfQcYZEFk3bGLeMyVdeYZIDudx9hte7eczGFp33O/Wd8mtR02yvd87YmoN95cLuOVZIo/kNXAXpYOOc4cp0TOPn222/fqgvJ6fZ5dF64FogAPVw7RUdtxRa48847tfYcSPeTldbk2g/Qi/Nb1KiP7RRpIokA3QvnnGMCOt/XqEFqzGt/0MWFAfTKVjuvec/1djA1BEgPAnQ5pqixLu5WF/fdV+3y1SuqfWm86TeADpyLLFtXrM5d90f9NRNAL/jsA9VumW6K5ALQKRtIDwJ0syEa9j7c+ZrIB53J2wcffKAnarzQZLJGGqZDDjnEyUEb18jRhi5pAQF03BHQWrP6T5R2QPSAA2KLQ+lUBtjGTFAAPdGkmnEi/n6Y1AO9W1NoFzRwtAMm+l5NdVi/9WzdA9cDOjDfBs4zSRGXSZ3EFB7NJCmH6Df6CvPOZKbwmVw32bkC5zxfyBoQBOfUFzethx56SGE6jelzJP+/vfOAl6K69/ihCQgENTZE7OizxZcYBQvGhhoj0Vixa4INJHaNhTyNvRN9WKIvtkQx+uxdTBS7vqhRsUSiooIVQSMg/fE96393du7szsz23fs7n8/93Ht3Z2Znvmf2zPmdfyufAKKY70ywkQgUd/dyv8tPP/20j0nm/qIVSwYXDI1hUa2URaNKCnTChAZcmlvkD5N+8biN/Riz441t5xLhbasdH15PgX7Vlp2yVRbwdqiXVx0u7TyHsJyTQLNQI//H9ttv73+uuOIKifPyh5CGPoIEekN3j04OAueff75PvHP99de3AYI4t2YiHQs64py20tevucXeedn/Paf/D930XplkaNZmd1zc9Xvpdv/vgn+3FcVRAp1tEelhgY6lt+c3ufP5pufybmGHTF30KIEetJ6zDRZ0a2GBjji31mfmRBfet1yB3nXLbXNQvrOi2wtBge7PM2RFL2ZBZ/ugFd1c3Nf86jl/+Jk9My7v1np9lquFbhb04PtBgc7rUVZ0Sz7GBIsHHgmtiEVnko9ww60US6la/QgwqSbe/KWXXvKiD4sToQi4dZdrQcfllazeWCiZpBeaLHM/YDXHMsznV8NtOw1hi6lmsp8kOV2huPVK1FvnvK2sG33F+dTbjZx4Y+4XwlT4DpNgDpFR6azwSfsMcc5ziVj8OHF+4YUXujFjxnhxzqKhWmUIRAn0Z5991ofIlJMVn+/Wc889563ghEkxNhQSb4wfuNrzeeWExpQi0KEYtvDyvSA3w4i2KXuy0JOKYpLhscBZTVf4pOdSmTsm/yh/O2ydbMJK3mExhvETr4lSFllKOUdCsnjusQBaLCSChUmEOTl0rrnmGsWalwK7yfaRQG+yDmuPp3v66ad7YUUceriFBXq4zjbbfzu/q99tzRn/52YuvrSb06lb9jAI9LkLu7hVxmeSmoVblEBf57273LyJb+cJdHPDZn8T6f/ulXP1Dgp0tunwZmbRINjSCPTwvi8syLc69us51a3+0p/9Zkks6EGB/m2vZV23/xvn9zVx3nmZZd28zz/zr6UV6B26Znh/9oMd/O8lp+dW7Scvlcm0veScT11QnHtG37m4B681iUBn0sZkCldHxJ5l0kX4UHKtFjWk23SuXsgjwKSWJFm4p1pmcmKPEcxMQEppTKr5of+xRiDeEFFMtsKWVsQelnvEJ+K8XpZhu07OhyzCJPjZYIMNShLDVm+d62bxA1HBdTPhJMQjjXUoKIY5n3onHsJtGHFO0jwEbjA/QCWzwie97/hM3NoJMcAaXsxyftlllzkE+rhx4/wkXK1yBKIEOmXrWJDFI6eUZvHmLBiSt8TKIfJd4idoaUU0MWaRN4MEdeW0Ul2pg/vZ+bBgtO21bxc8naSieMygjGjd6878xLHlXGd436TnUsnPtGPZZwcXOxk/qcbAwpslq4yqPV6J87FkgnHinEVnYs7xCsNQVe/xuBLXrmPEE5BAj2ekLepM4KSTTvITzksuuaTNmQQFOm/OWrB4m22iBPpi87/1233ZOWfBjRLpCxZNnGnTt97X/176vUxdbhPor298ZPbzps7Kffb3u8/0r/d1mWRwk91K7u3Pevu/f9H57kiB/u1Gg12HBfNdIfd2+yAs6OEWFOiIc2uI9FIEOvsj0hHoiHNrM97Ir5HO64Us6B/dn1nC77drrm45/89daa3s8aol0PkAkvxQboeJNCKQ+HOEBxP8epdjatOB7ewFvByIFQ9auegfLFFbbbVVahrhZHDmjkoGf8uMjqUVQcUEm4ksfxN/WO/JDpNBxCeujbjZVyI5XaF660ni1lnIsvOBTyXOJ3WHBnYwSzX9hhgudj7lZIVPeo6Icyzn9Bd8iolzFpVxbaem9sYbb5z0I7RdQgKMI/R5sHHvsihn5bISHspvxjhiHlg2hlhYCeEVLCLyOt8jXmdswaXd3ODTfFaltjWBfv/+q/hwLs6H6y9m9S5Wqi14XpQfs/wXw8blas7HnXsat/hCAj3NMaLOp9D+T4/8T7fZ5a/4XQplX7e641w7zyUEunkmVcoV3sQ5BgOeRYUa9xx1zhlrSJhcK8t+XB/r/eoTkECvPmN9QpkERo4c6SfR55xzTpsjhQV6n8l/d3N6ft991CsT42finL9XXPh+m/0LCXQT5sEdOq/a1i36tVV2y24SJdCD+yPQV1pqpvvx8xdEEikm0DvOzsSBv7fCIGcCvfsXuet5Yqm9sseME+hkcA+3sAV9sVmZ2PnOk/JX4QsJ9BlTvnA9VsjE6lmSuLQC3c6pqJt730yNUmufrLxJm1JriBMsoyT52XbbbR0xiUxaWIVmAsaDTgI98has2Yv0A/0UbAho8gbQZ2malVFjwlws3hyhhycOCwPsYxZmrGJpLcxpzq/Ytiw8YjnHkwArXBord9JzCMZvM9nj2gu5crKggcCBCYta1TifpOfNdiwWIIbjYryjjmm1x01gVMIVnnuWBb8k4pz65qNGjXIPPvhg2WEbaZi1p22jBDqeMXy3iR9P2sz7Ji4ZHO9jUSdsChHHvMSEG9+peoinQnkrCgn0uEzwxizpdlGM7957RbfzLZmyr3EtSqBXwqpeSKAHX09SHo17zMJpGD9p5brCE0vOPYTlvJg4x4tjp5128iEbf/nLX0ryrIrjr/cbl4AEeuP2jc7sOwLDhg3zD0EmO8Fm4hxRHmwI9GCbuPgP/b9RAv2rLhlRSVv59bvdgqmf+7+TCPSgOGefOIE+a14Xf+wogd5xhX5uZt9MSbHFJ7/l5i2Zs+x3nvapW7B4LnFIh3ltV7LnLrF83jV/+L31sv/3/v1R2b+/d/Ah/u/5D96Rt70J9Dk9FsVezf539r2wQJ/35VQ3+5MMI2uzv5qR9/+SG/3AmTjnjaAFPWg95z2zoPM3bu7B1vvdF93CL3OudR2WWtot7J7J1t9h0UMz2BZsnlugYBLNQ5UYdGK2iPvENYxYL4Q5mXnrHU+bd/Lt8J8ogc6El0WV7bbbLrEwTFr+CMRMikjAhvsnEywmW1jFmHyR1d/cwStlIYnrVj779ddfr2nm+LArJwIY8cv4ips/sfvUAkbc1Fuc47LPYkFc6bI4ztlxapHl20q40eeMBSaucGeN8xQwcY74w9OhmOX8xhtvdHh+3Xvvvb6so1p1CEQJdL5T9G3SLPm2wGfJ5oolg+MewMuHxqKvhVfwXbbvko0jtVgEjstbESXSkwrvKPFqx6Pe+n+e93TBTr16q85efG50cdsSr+GdionkcmLfiwn0Uu/GSrjCs0DMcwjLOeNOoUYY2JAhQ3y4xv/+7//WPQyrVGbar3QCEuils9OeNSKw7777+oftCSeckPeJCPSwOGeDsEB/r2cmzrnP/EVlxBY1s5p36pDvGodAtzbv48ltri5sQTeB/h9fZR5UTy+Wc+XGxX39j+5xr6348+xxTKBv+PWjbVzcCwl0xDmtEgK9y/CTXPdZuTJpQZGOQEec04oJ9Lnf1WWeM3Wa3zYszmd81rZsCwJ9wfTM9vN/MDCPKwJ95Q9z2WxmLL1K9v2ekzKl7oItSqAHxTnbEpeItfSFF17wYo8KAJtttpl75513vGWFe6kelo42F9POX2ByG2z8T/mpwYMHJ3I7N2sXv+MytWOtwK2deOrwpCjowoq1lWNZvGkS4VZKN+LeyP2INwd11+vVLG59ypQpPpM+CxXE7pYSt17Ja8CSj+WcyWk1PAvSusIjzDgfPC2KhSEwgb/lllvcMccc48uCbr11LvFnJfnoWBkC9KO5pBsTSq/RWIiLa+HQmGKLNNyTeLuwgBcVGsP3B6HOGEKuE7azcSRtybW48+Z9WyxgQYE8GlGLzqUK9EKiORjvXkw83/zzJf13d6urM2Vpi7VqCHSO6b3lzny8zUcnsZrHnbO9n9YVnnGWSjJx4pz7Z5dddvH3EOOIysIm7ZHW2k4CvbX6syWv5he/+IV3ERwxYkT+9f39/jbXGxbnbGACvWuHfJfasEDvN+U51/HLjCBOItDnLplvtX5owU+z5zNkxp/831ECndeDVvSgOOc9LOjhVo5AX3rulOzhggLdXlz41/vcwm1/4f8NinP/f8jF3QR68Py6rLSy+/LxzCJFlEDvu3UuA/2cRZnqO83NxOfTqiHQmbjw4MTVkRh0BDq/sQ5iOcU6KIHe5har+Qv0E5Moa0y2H330US9qilmfzB3VYk+LWbyYvJMkkPuBSVFcsh/EPjGHFrfOZ3DPWJK5cuPVOXcy9mLNZ1JdzL2xVh1CWTrLeo9A4dotMZZZmGtRb92uF1d0xHCtLPlxrvAIn0IJ6sJ9dPvtt7vhw4c7flOrWK26BKIEOgtfLPaxkFKsJQ2N4RiWGZ17kgoCcd4lLBDbGMJ40rNnz2xZQP6O2z+OWtK8FUkEun1WkizySQU6Lu5cf1zcepxYLtWCPmHUlt5KzYLJ4Y/nG2LiPjOOfaH341zhORfEOeO+lX2NOhYLQbvuuqt/Bt53332xz6xSz1f7NT4BCfTG76N2f4ZMdIjD+eUvf5nPIqFAn90tk5zN2tQuffyfUQLdtukwKVfui9e++kfbleAee+ydd1wT6FHifP7CDm7O/M7Z7RfvPMet8/RohzinmXv7vEUZ5nt89ZHr9FV+1tRP1shltl7ug0yiumAzF/d3em7ounXMWSaD4pztowT6go4Z13valDPOdCv95ujs/0kFuu3w9QuZ2qtfvZ/J+E4LC3ReM5HeeUa+xT1oQe/+9cd51/jRchv5/1d+52G3cLGuWTf3sAUd4cckH0sKCzuPPfaYj2tm0k+s7yqrrCKBHr6B6vB/WKAzYSaZFi7BhSxOhZLBRZ0+k2TcURFYuKOmDWvgs7BkMLHih+MxsSrVhRXxT8ZnJuy4f2KNrXczSz6JE4N1o9PErVfyGqz0Ht9R4i7r0RB3QVd47gMsWMTkk3yrkJUVS9chhxziLei4pqpVn0CUQKeCA99bhFChliY0hu8IHjhY5Hl+pG14dFk4Db8JJYnKCJ/0uGnyVlRaoAfPMUkSujiBHSeWi8XRFzv27bsv5xdVKLP644vy50txn5m0H4ptF+UKz2t4J5G8sNBCMQsvu+++u8+h88ADD/iFHbX2S0ACvf32fdNcOdbP/fbbz+2zzz7557xIoM/ptYxb7N+5mOiwBT0szjlANQW6iXM+5/HvD3VLdMskd6MFBfqSXb9x8xZ2cmv/6y7/HgIdcU5DoIfb58tkkt7RyEC/5OR8928EOuLc2vTZi7vlu09zaQQ64pwWFOj8/+evhrgDp1/kvu3/I9fpqQfbnBsWdGsm0IMb9VwtV34GC7q1rtPzBTivL+yyWIZH7xVclECft7CzW31ivufEgi3y7wuEH/FbWCp//OMf+2zuxKJbfVwekrKgt+nGmr8QFuicABb0gQMHRtYkD06qsUAVc0dlgo47KqKTnANx8cVJLt5cWBHrlhHexHqcCyvWFTw6mKxjya93WTdYkjBv0qRJ/nyKWfKLxa1b7HoSfnHb8J2lz/BwKSUDd9zx075PX5EQjnuH0BjEFf2ISLfyS+bpcf/997uDDz7YEXuO9UutNgQQMvRTsHFP01eIs6hWqdCYUq7QwmkscaFlhGccYfEvbpxiPzyC1lhjjURl3RpdoN+xZx+/WFHMQ6fQNRQT6Ndss5jvfxbWwtvVQqAH7w0rfcfiDgK8UFZ4FoD32msvH2r00EMP+USUau2bgAR6++7/prh6ytMcddRRDlf3cJvzzxfyBHqHud+62Uv2dV2nZWLIv+6TE7b8/87CTCK2pRb7quIW9C7/zpU34zMQ6DQT6SbQEec0BDoNkf71SrnV/iQCnf1MpM9aJmNpeq9r7loR6LT1Ok/IQ9b71cfy/p/T/4fOLOjFBDo77bXMXyMFeoeOHbLHnDklZzm3F02gf/78q6738KPdgk6dfTm5btNyrve2rQn0jtM+c/OXyo/NxYKOQKcFRXpQoDP5Mlcz3Ihxc0SYE9c8fvx4bwUhNq5cV+U8iPqnJAJRNYyJQY8SjGksXmTrx2XbhF657qRRF8dkyuJNzYXVrGLhjPBsi/BElGPJr/fiECyxCOLajiUf8ZmmVbLeun0u2YrxdiDeHDfiejfuTdzaEeDkLUA4RbnC33nnnX68IYnTH//4Rzd0aGbMV6sNgSiBThIufsJl7UoJjSHxG5b4uNCYUq6Wc2dRysYRW/yxcJrwOGGZv9PkraiHQE9awg1mWLpZdICFhRKxABa89lIE+ssnbZpdBK2nQGeMxWsqWIov7ApP/996661evLOwzDOwEUKfSrmntU9lCUigV5anjvYdAVwUWckONrLannfeedmXyKpNXDlZtrFAYSG/6KKL/KTIYlOZXON+ecYZZ7SJ6UOcW8OKjjgPt0ICne3CLu4bfPFwdvekLu7vnHxudp91Tjk07+ODAr1H52/dtNk9nYlzNjSB3nfu++7djv39vqsteKegBX3Zp8f6baYP3MX/7vXvnMCd2zXnCoVQR6DPnNPZrdb78zwreligc5xv19rYu7Zbi7Kg8145Ah1x7s955PH+NwKdFhbpQYHO+ybSO32XG+Bf/5G59lue+r47bfkb/d9hgc7k2uL/SAiHaztxzTz4eFCSlEsCPdvddfsjSqCziMIElEmatTQWL+oAYxlmYYaJbi1a8H6zjPBYWPl87jOEp5UJi7OQVft8zc0eYYA4L1d4lFNv3a4Va+err77qPR1KcSGuNLMocR71GbjCU+Oc8kcsCnHu559/vttzzz0rfUo6XgECUQIdUcQYsMkmm2T3SpMMzhbUmIeUEhpTSmdxfnjlWDgNYs08NRhLcLMvJW9FKQI9iYUZITlwdH71HLvuNALdkrlZKBHPba7dKktw7T+64Nk2SOPKsBU7hyTXV0ofhvdhTKCiAAt8LD5ENfqdbY4//njvYcW9R4gX1R+UGK4SvdDcx5BAb+7+a9izR6D/6le/8jF51oinsZgaXL1YmWYAvvjii3280IEHHujdAy+//HJv3enbt6+fQDIJZEXxiCOO8IMXk15+1u2Rc23r+mUmQ3u4RQn01Tr9K7vZ1E45K+2KM95yXb/OWICzAp2625MnRcagT3np/byPixPo4XMzgc7rs+fn4sA3mHKP33RB95xlq8M/MwLX2vx1N877PyjQX3Y/9uLc2jffdnJbL/WS++uXP3K/meXo6gAAIABJREFU+OjCvP3eHZtblLA3ogT6Xss+7t+e2H0Dt9Yj+fXogxb0DosmNTPez3fRn/V5pqY6LSzQec1EuolzXsOCnr3WRZb0KIHO+4j0KIHOwxERstJKK/kHIPfNuHHjfLk1Jj4S6Hm3QV3+iRLolMbDioq4TWPxYqJOzgHGEcaVerkHBjPCM9nmfyzUuKQmcWGtZkdYSSYmgYjzSrvZW9y6ue/Sf3H1gq3U3DrrrOOWXz4/6WY1WRQ6NtYtLOdY8JhYFxsnKAlIvOjo0aPd3nvv7UNpsP6zoKxWGwLcY8wPgo37j2RcgwYN8i+nSQZHfDcLapUMjSmFRDCcBvGKoYKwD8Kz4sJpgp9XDYGOtwtickSu+EreJaYV6GE+CHRbYKc/fv1MxtPQWpLj11ugM64RisACTzC3R/haGW/IrURCOwxVLNI89dRT7oADDijlttE+LUZAAr3FOrRRLgeBfvTRR/ufqPbggw/6xG+sDJvVZOzYse6ggw7yq8i4ibJizIOK+GGOs8UWW/gJHxNBfpablYlhDsagz+/Ww3UOuJqHBfr8QEI09g0K9P6T8sXqwo65B8MnN93qun8/FxMUFuccq5BA572+PTNlxqwFxTmvmUBfusuXru+kp/xmJtDD4pz3ign0p+fklzJDoAcbibO3WjoTwz7t5OPadE+cQGcHE+lBcc7rCHRrCPWgOOd1E+h+20VW9O7vv+Y3n7XK+q7rN7nEeEGBHjxBs6Cv/uJ31vOdR+adv7m44+LIg55JP1l9SRZHAjImbbXMSN0Grl7IfQcWTU4sE7u9+Nxzz/lFFcIQzHLu75VFE9RCruoIfSaMTHYQ541gebDM6EyoEQgm1gu5cVb7toCR1W8uVJKpkucQlSTJEuzBgD4yCxOCtlbeDsWuMY04J2yGkCss5ocffnjZWbkryb49HStKoBNyYhU8SgmNIUs7Y1A1QmPS9I3lrcBTg/EQYcy1MTeycJq4jPCVFui2oIa3y7bXvh15OUkEtO0YZ81m8SVcbz0Yt84z4gfntF0pKHQOcZ+Xpn8KbWviPG5co38PO+wwf68izhthgbIS169jVI6ABHrlWOpIAQIIdB4sDLBYFfbYYw9fx9yS6vz2t7/19R0ZnKzx8GESx2C11VZbZV/nNTJashoZbOH4c96LEui9386UAKN9ufaWeccoJtDn9s65yH5xxRV+P0R6lDjnvbBAd9/myon5c1syd7xvv5exFn3QdU3/G4GOOLdmIp3/F374Xt45+2MVsaAj0Ld98wK/z7i1T3RBgb7l9/OTy0UJ9NWG7ZH9vHlL93XzuuYs+VjQra0x82XX+ZmH8s4tKNB544sXX8973wT6tAszoQF9d8uVpnPz5roFy2cSyplA//rZ5933NhmQPYYJ9OVv/i/Xo//qbkEBgU54BeKPOtaEUmA5JwEZCQexaNbb1bhNh7bDF5ighAU6SbmYfLJoZ2EuxfqKBTyEJ5NWJkT19ozgnLn3yCQdjDsMZoTHOkRsazkZ4dPcLozDwRj4ejAKx60j0LHkE4LC86ERxBCMuNdYwCjGiHv05z//ufvd737nRo4cWfdzT3MvtNq2UQIdi/OLL77o5xC2yEe/FrrHOEY9QmOK9UWhvBVRGeEtnIaF5/A1VlKgs+iNpTcYPhQX311uFndjFDxOMG6d6x0+Pleq07YPC/FgebhqfgcY2wnXiRPnPPeOPPJInx8Hz5tGCO2pJhcduzQCEuilcdNeMQQuvfRS70aJQHrhhRfcySef7HbeeWd37bXX+j0PPfRQ/1CkRnWw4XZ5/fXXe5dBa7h0YVnD9dValDjnPQQ6DSt6h6/zrda8Xkigh63nbBsU6J2/meY+ufEWf+xpk3JCOvsACcWfh8W5P7cIgW77T+ueKf2Wvb6FXd2qH2QSuqUV6N3/MT7vWG6Rm/5di+3jdplzs399ep91897vuHC+m3rKidnXkgj0r+Z0d5tNus7Nm5S/eIBA77CorNXC7zLrhgX6vG/zM+5mBfoicW7NRPo3D9ybd54IdQQ64pxWTKATg8gkmxAJrJmIJWLQt9lmG/+aBHr+LVKP/6IEOu7FvXv39qKt2KSa88WixGSIyQ1jQ71FHhN9JrBYhkl0V8zNvpyM8Gn6ioUAcjDAlNj+RrjvGfcnTpzo+eDSyZhfj3rrxpHJMvddEnHOYtDPfvYzd+qpp7rjjjuu7vdcmnuhVbdlASrYqCNNqAx5R2jFvG8aJTQmfP4sFsXlrSiUEZ7vkpUDrJRAtwUMwj6CNbzLEehprNlhgY3hh0UYxtxD/5o/p4BlmmNX6nth4pwFDPLcFGrcc3iEYohCnOOtoSYCUQQk0HVfJCZw+umn+2RtxRqDJqWtwo0st8TrkRCIhwcCHUsTbsfBhoWdUjWWDZfBDKHFxBd30WyLqIHOeybQ+bvL5IltzqMcgW4He/PMMW2OG7Sef/zn212f3XbM2yYoznnDLOi2UZRA5z1EepRA77DIIkCbt3aGdadZ/3bfLtHHtRHnvEkcfaCFBfq0zoss+yfsn90iKND9uS4qAWcNCzrinLZMt6/dao9clHfsjoHazoj0J4/7X7f20LX8Nm+Ofdv132W1vO2jBLpt8PVL+dZ+Xv/84HOLCnQLf8CtHSFOLCmeGdQwJmaUeugs+NRbzOVBaKf/hAW6CVzCXnCDZpITzuhrqKZMmeJjzunXvHGhTiy578h1gDhgYTJNnCjWMou5jMsIn+byOBeEJx4JcGqEex5vFsofYqVm8baUuPU0DOK25fMRQzQWVYpZzunfHXfc0R177LF+wbkReMZdX3t4PyjQGUP4nzheqzfOOBLlCo7Iw4PP8uE0QmiMxXcj2qhCkfQeC2eEx9LOGDr0rvzKMmmFKzxZTMN6zrgWXnQsRaCnPQfu4aBAp99YdGSMZeGdhbXwefxxu+5+3GOxIi4MoBLfEea13EtJxPmJJ57oKMuIwYA+VhOBQgQk0HVvJCbAIMRPsYZre9SDjgGeiTSW8AEDBrikLu7EEeO+ipjPy4RZgkAPi3Ouw1zck1jQ7bqLCXTEOa1WAp3PWrhKRgDTwtnn/YtJBDrbfSfSwwL9X2vt7Pp+k4k3+3unXHw7Ap0WFOkI9FcHHu1+8Nxo/974X2cyz1srV6B36pqLceeYWNEnb7x7NnEgEwomZljQcflj8sU9tOqqq7rnn3/eW1W4P5NOfPJOXv9UlAB9g0i3ZHBMMnnN3KGJ5cMCjEhnks33nwUXJozkp2ByFsz2XtGTS3Ewm+hzHQhPC+NJcYjsppYRHsHOWGsig8kmVvCk963VFE870S/lnJPuY1Y4JvpcS7gliVtP+llJtuNewyLOfcc5FRPnLAb99Kc/9YlKWahO2g9JzkPblEeA718woaS5tZMwEm8W+x4xhvA9QmTyTGBhhnAnRFU9wj7CV20luVhMI0FuqS2cEX7YuJyHQbD8WNzxOY4l3uT7wTws3Gol0O1zWXxBnCO66TfzCAqfx7hha/lFT+6BLos8+oJhAJX2IuIzEOdxiS65L0877TR3++23e3Ee9AiN6wu93z4JSKC3z36v+VXfd999bsiQIV5oM2m0JHFMtEmAQqMWJJncmZjbSi2DHxNzBtuokkBffvSu33epT9/0v7Ggz+6+pP8b1+3F//VS9lpNoH/acYXsa0+/kynnNKzrTW2YmIt7l2mf+PcWdunqf+Pq/r2VMvHkk558y/9ecuWl8vavlEDv9+XLrtObuXImHZdbFJv7eeZ8rFVMoHPARSIdgT5xrV1cB9c2tuuTWRm2NBPo9v8aT1/p/zSBHhbntl1QpIdj0F33RZOAWTNclPWc/aME+vMrDPTCzhLEIfoQANxXTMR4j7+ZjJPNXQI97/ap2z/0i2Vyp+9oYXdUrMBWeoi/mWyZEG6EWrEsIGCltgljJSf6wYzwiAzY2ESzWEZ4K1vWKDXF6S9i8vGMiLLCFboBo+qt2/WHa82nvYmD4hzLebHa9NSMR5zzbDr33HMlztPCrvL2CHRb3ON3ODTGvkcm1nmfcQfB3ihhH8yL8CwJ5q2oFDa+RxtdnClJe9mm8/2z0ZLMFfL0gSNZyNmX72wx74K4+O6geC7Fem4c8DQi/wPjPv0WXCQrtFAQ9tCxeuuMI7bgWw5nE+drr712dh4bdTzGQHJW4B2KOCfJnpoIxBGQQI8jpPdTEyDxBZZykrTwMMDt/ZhjjvGu7ySGo5lbGQ/JCy+80MeTksF9l1128WXWrCHgiUclVjG88mni3LbtNuffeeeKQKeZSJ+5+o/cpG75A+NafRf328x+50XX/Yv8uu0IdBPnbGMCnb9nPp6JD6ch0ish0JeakSlP1uXbjGU62GYvvpTr+dEE/1IhgT6n1zKu6+vPtNk3sQX9uz0XTXH8X8UE+obzn/PbfNBjnbzPmzm/q/vBM5f418Yf/Ze257LolSiBPuuNN/y23Tf4T//766cjrmPR61ECPZgojomXxaZR2gpLIqIJSyvWgM0339xbJWUBi+yamr7IQgoWkSTJ4NgOIcw+iHTEOi7SNtGsdMmwJCBIRoUVjjGs2i7kQRfWYhnhLXs81hxb+ExyLdXaxlxkCUnYcMMNs2U2034eIoyFh6BnQalx6zx7LOs/4qOYOGdhYYcddvC1zS+66KKGiOFPy67Vt0e42QJtXN4KFokIl2NegvjkOWBjCONJpa2rcez5frAAxPcW75soz5K4YyR53wQsFnTGD75HzLmiMsJb9nh+s3hVjkcQ51YJgc5CKOKc5zhiOC4ZXtRCgCXqtHCicL31tCEO8GPRP4k4P++889zVV1/t486x/KuJQBICEuhJKGmbVASYSA8fPtzXImViTf1OYsqJvQlawYlHZDsGLVZy99lnHz8JCk62eXiREdMsSMETmT7l/bzzKiTQgxsFBbqJc3u/47MZ9/Rs+86qZ//P+X5f1+XrL/LEedef7uw6Tvg/9+lTmThGa1jQiTvv9F0972AMeqcvMuXhgm3mKrkM9YUEOtsj0sMCffb6m2cPVYpAX/Llh927G+Vi0IMCfZXPn/fHfn+ZTCZ1LOgmzvl/QafO7qNumUz0tKBA/9cWw93kH23Z5lqDAn2ptfPj402gs1OUSDeB3nX7IW72w/e2SRTHpIL7CndaEtow8WESwg+T7U022aQhynC1gdIOX6CyA5ZgFuU222yzgkKJxTlLmoTwZBLNpJyJJlYxauUmsQpVErFZqYkhZHyr5YJPeKJpGeERmjDhvs8LB6rkhac4lokP+ghxHuUim+Jw2U3LiVtnoQNxzkJenDjHqok4x/Prsssuq7l4K4VNe9vnmWeecb/5zW98Aloy65MwMuq7aAtFLPhbojNb9OL+5HvDNuahYUnWqskzmLcCIRzlIVjNzw9mhMcSjBDnuhGezMFYMCi2eJX03MoV6Cyk4NZeLJdGnKt91LlavXUEOwv5eEFZ/8fFrZs4xxJeLAM799Qll1ziRo8e7R577DHPVE0EkhKQQE9KStvVhQAZ3X/5y1+6jz/+uM3DYtbUfKGbVKCvtmyX7LUEXWrnvftSzooeEufsEBbo3U+8zC147TEv0GlBkb7ssIOyn9Hpw0yyuvn91nD2t3flDrSkAr3HyznLve0eJ9A7dOmc/aSFy/bNZnHv+eif/etdFoUQWEOoI9DX+Oc9mXMOZJ5HpFssum2PQKeZSA8LdN4Li3QE+rIb/oebN3NWm3sqKNAX9P6+m/vM42729JxnBAIdcU6b2auP67lKvgXfrLJM3FjYYeKFZQSrK5Mz8h/Uw9ra5kL1gnvooYfcX/7yF3fPPfd48bPTTjv52tJbbLGF7y+a1d0lhwD5LaIm3ywCMsliom1J1izetFKiMNhd5NNg8RE3y0aoXYs3AVZBJo00XEDjXFirffsF41cR59USH4Xi1s26HrSKmTjHGo84t3ssigV9vP3227vBgwe7K6+8UuK82jdMicfne/+nP/3JkYQWrz3KaSLW+bFa5jwTJkyY4L3wEMJRY4LdRybW2YdFLr5H/K5k6AqXijjG+lqJvBUlosvbjcUCFrMxiPA3wtySrJW7WFGOQGdsQ5wjgvGIK7QQWopADwIIeugE49YZR8KeFTxjWDCOyxVA3+INesEFF/hkyNybaiKQhoAEehpa2rbmBPbbbz+/somLULCZWyyvEbvFA3WNnvkx07i4L1xh7VTn3OOV+zPbLxLoM340xPV4KVfqC4E+b5UN3WLvPO3mrpmxWvPw2PSDJ9t8xsL/yNULz4ry4FYFBHq3NTb0W81//W95x8TFnRYW6JQ1+3atjbPbRlnQgwJ97mefu28G7+u3jxLo/o3euTjzcPb5ud2XyDsvE+i8iEhf48n8DPdY0WlBkb7ZmZkM90kFOtsuttGm2c+d372n/3thx06u07pb5p0P9wHtiSee8C6+WFoRUUzOmcwRZiGBnoes7v8wWaW/SJ5z1113+ckr2bIRUHhDXHPNNUXL1gQvwJKsMdFmohXlwlnqBVssNecULjdU6jHL3S/oImuiM5wRPqlVqNxzsf05JwQRng2I87Suo+WcR6G4dUQWzwkWczinYuIcoYLlHK8OyoJWWpyVc33aN5oA9xxhFHfccYf/IYs731EWWFgAJMSOKjJJ3LXNQ8VyX/AMMbHOd6lcqzIeLwg8xqZGSVDH9wbPR8Q4wpPvro0jlhHeFivSXn9cjHqhe5oQIs6JEMe4jPblLAKEP58FCkS4hQIE49YZN/DAWXPNNYtWD+EewqWduHPyLeG5pyYCaQlIoKclpu1rRoAJNtlMedjy0IhqDITUPMX1NVifM+4kLSlVcFJpf3d78S4368c75x0iuCDAG5Y1lszgW32aScASbLN2/nX23x7j/qft6UQJ9BVz9cm7THw2bx8T6J1XXNt1vfe/s++VItDDJxO0oPv3ShTo7NrtxUfzDm8CvffCL90bG+7qlnghE7u+7sO/ixXosye8lnesoEjnjXk9ercR6EwmWGVH8DGRwHKHCzKTIh74lYipi7u39H7pBFhgoTYsdWIplYfVHOGJG7yVyEt6dI5lk0xc0hGKZlkmCWUat3Srl4yVmnuIRcN6N87pjUW5G3DPhFHYSh10YS0nI3ya6+ScrNwcQriei2FmFbOJNv3N8wTvCrwMouKN2ZaEcPC84YYbyhZjadhp28oQ4NnM956whIsvvtgv0BICY5b1NPkiOFYwUaXFLXMPIdaLLfREXU0t81YkpYkYZ8GAKjurr7563rgYzAgPU4Q88yyzrif5fpci0DknxLl5TsVdSyUFevCzguFELNwxj2BhhUUD+j9q8ZF9rrvuOnfKKaf4cmqDBg2KO329LwKRBCTQdWM0HAFiyli1ZqLH73333dcnnMOSwQ8TK/sbtzUsI7gu23tpJt7lXDznhis1mcEXu+PS7KHm73G8t9iGW1jkdxufcTGnzRq0TzZZFv8HBbqJ8w59crHeQdEftKDP77e+P97iD16dO/aOh7vFH73W/48FPdzKEeid18jUYZ/z3ittxDmvm0Dn7xnzurkfrJRxXX71g7nuP9+/zc16eVFYwQ9/5GYt8kQItu6LRFCpAh3OCHQmT4h0krjwwKe/yJKbxIrSBpJeqBmBsWPHunPOOcdb0wltwX31zjvv9HkocDtGrG+33XapRDJWEfZHgPHbXDiZaMeVL0Pov/rqq976ijivpUW4EHSuh3PinkZMxk2ULZM1k2x+kmaET9PpjHmcE5NYxHkjfM8sGzXCisUeLGNcP6+bGzxWQ+4H7ouf/exnPsPyzTffnFp8pWGlbatLgP7FW4o8F4cccoi3ojOOEAeMCCVenXAay2mR9GwQqJb7whJVmliP+w7WM29FoeuzuuuWSyOOA98j8yxgsYGx0zx0CoWxpBXofEdx/6efCFNI0qol0O2zbcGA82GsKBS3zvaEXBx//PH+nmPeqiYCpRKQQC+VnParGgHc2XkIYMEgzpPYHSblVkqFyaZlbcVKFG5hER/+PyjwC/1dbB9bAOCBS03mgQNztcErCuXN8f5wJtC7rpzL/kmM5Cr/yMSJBwW6WyWXhGTyF7Pc6n+/yc3a7hDX/ZFr/LZBgT5nn9+4Ho9khHte+86CPmPAbtmXu/0z48YfdHG3xQDj0e2u37c5VFCg91s6U6aOxj5dn70t+39YoNsbHRfLxc8HLehYz2lhF3eriTt+/Hi/yo3bIwLGkgBxPzWCcGgLXa8YARZYEHnBCR/ffbL4mlgnnwDuq1jFcIe3soxJKHIsvHOCllUsQlGWVUQ51iUWe1jcSWsxS3I+abex+FX2I+lQ2nMKZoRnoskCBCK1VBdWzsMyo1vytbTnlJZBku3Nmo+oCi4YhOPW6d/bbrvNl2TEwn7vvfdqjEgCuMG3oT/DohFvE/oXN3jigrEaM4Ywv8AlPk0Wd8YoE+smVi33RXgRz/JWNEp1BbqOc6eUGgvYxRKdFepmy/3BcQplhGffNALdypbFuZCHz6maAt3EOTHwzCmshePWr7rqKh+exdyD5xTPJTURKIeABHo59LRv1QhgAd111119MqZCFismhbi/M0nF5TQo3KP+NlEft11wIcD+Dlq/eYjzY6+RgT5uUSDNIkG2VEwRgY5AWfXVTHx8UKB3Wj0Twx7VujxwZUagH/TbNm93ue+K3GuLBPrcQXtHewG8l8lW/3mPvn7lPMil652j2xzXBPoKS+aEdnCjHi/emf3XRPqCw89yHa86zb8eJdBn/WB71+VfGVf5eWvkYrsQ/dZfeDYQ90XJPxZ4sMQiGpiMNIJ4qNoXpx0c2Cy1xKwz0SY7/zbbbOOtYiSaw305qRcNx7J4w3AmZ8YdLDkkCUpraatWN1i5Oc6NBYNy46ODLqxcv2WENxfWJItZwZripSwYVINVIXEe9Vl4ahGjTEgFQgPL65NPPqlxohod00DHxPsOF2TGEOKEiTM3yzr3QBqxjieLJapkEaBXr15+wY9nJK7RjZS3gi5gwYDEksTA810vt1k4jZVB5Blr4URJx2P2ZcEgLjN61LlWS6Cz8EKeoThrPmPgueee6/D+QtDzPxWJhg0bVi5a7d+OCUigt+POb+RLx62diTGDXqHGhBL3dizYSSfkpV6zCb+geMd6jlsbD+Gk4r/QdmGXeBP0g5Ze6C3or33+bZ5rPxNpHoo/mf6PrED/uOtyedsUWzQohxcTWhZEcBkNt063XZT3kgn0VZbL1JsPN67bLOkI9A4jMv29cMzJ/ndQoPM/VvSZ62+X7e9w2ADbIGKwtuIOTaZwVr5xR2TS1L9/f028S/0SNOB+9D9x2Ih13OD5m5ATLGKIdSbdSe91jsXkmnGFSTUWEuINmZxVI5NzWpx855ksMuGt1oKBufAyWTarYLGM8FjfsUDDuFJlmdJyCW9PPzJGIcAQWsUWGdgGV2f6Gcsq4wR5RXB1V2s/BLC286zA8olo51mBWGccYX6RZiGMccPEOhZhvhtY6vlphNwVlCB97733qpbo0sogmocSd5G5wRO/HsXSrPnlVMZIY6lPcmebOE/i/n/fffe5gw8+2P35z3/29w3jNH2NQUBNBEolIIFeKjntVzUCuI7zMCP5G65OhRqrrUysGEDr0SjrgvirRM1hJpVRlvuwoLf/sfSwaj/oy5ezAn3CjC6RXgS2T5QXQFRcf5zbP5MOjkk8VtT+QVd3BHohcR7XZ/MuOzFSoE9fa8uCEx0YsoLNBH3rrbf2boy4P7OQghsvYittFtq489T7jUGA+xsrqIl1rN9k4maSzaQJi1YSsU4GeO4f3BnZnv9Z9OF7zjH4Xet7yMoN8flpklyV0zNmFWTybOXrghnhEeckcsJahntwGhFTznkV29cyyDO5jktSx2LEbrvt5hc1EWXVKMlXrevUcatHgPv+0Ucf9WKdOGKeHUOGDPHjCONJEg8svhvMT1hUYy7D85rnJt52tuDFIkCS8ahSV8p3A6MC1nPCvtKEBZV6DvY8trh1ywjPOMI4CksWQ6n6QFnUSljzSz3X4H4s3CGyMUJEGSKC27Kws//++ztKApPzQE0EKkVAAr1SJHWcsgjwQCPmnJgxHo6TJk1yp59+uhdUYRHIhIrtcW/HfbkeEysEKm74m266aV2SRsGHSTsrzklblBdAVFx/XAgAExgECxOX4AJC0Atg8NSX/Gk90WdgnlU/bfz/Urdfknd5WND/ueQ6Prtr1OSGSQgTIeq5br755m7cuHF+OyZDCC4etrUWV0n7R9tVjgD3AZYiJtm4sL7wwgveEmaZnIk1jrp/cEVlEht0/Qxmckasmxt4qZmc014lVn2s1FQjKHTfpz1m2u3DGeGxSvPdZ+xlst8o4tyy2seVU6QPmUxj7cS9mfFBTQTCBLg//va3v/lFv7vvvtuHdOFdgdeFTw676HsQboXyVjBn4dnEGIIRgn1NrMclqiy3Z4JVKPi+1mPOFJURnvNgoYx5DGVRG6GZOLfxttg5kXRw77339iXV9tlnn5ouuDQCK51DdQlIoFeXr46ekACDNA89XM2YjPLAIgMmgx4TwaD1l4k1P7xGLGaa+G4T+3H7xK1sY6HBQkcJjbhtEyJItRniA1a4uta6ce3UAg2XDynmBZA0BCBqwWDAP3K16BHoj3yVcZe3XADhBRz7LBZvWERBSGEBJLYNkS6BXus7pr6fx31JzgarkYxnDtZVLGIIdiZi3Hfc09zbuGrjRl6ohTM5W9khJttJYrbT0LDMz4RmBBMUpTlGpbdl3CGEhHGP71o1MsKnPWcLdWAxI672OguMTKrxtMHDhmeNmgjEEUBgkwAMsU6FCRZ5EOuMI3hrMRch1wlhd9xTiM5CcexWVcHcwHmGmVgntK+Scwo+C48gxi3EeSNUoYA1nHC1xyjDmIJF3xgUyggf10flvo/Rg7EtiTjnXmCR7/LLL3cHHnhgRfus3OvQ/q1BQAK9NfqxZa6CGsi7775GJBN0AAAgAElEQVS7Tw4XLFvCBDoo3rCUMKDjJpXGNbyYdTgI0Sy9hSy+rJIz0UP8FRP7hd5Lk4AmqnN5sPH59YhxwppGEiUEehJ3v0rcnAuuOsUfxgQ6k3A+OyoEgIkU9w5WMcIQKI2FKy7CC8tpI1j7KsFEx0hPACGHSyXx6ljXmWRZZn8mhWTzTmNdYpKORYyJNuIeYW+TzHInwub62UiZnxlzcP1EgNjioMXtE3drLqzlZIRP26v06ZtvvplN8FaMOxbR/fbbz98DeGohhtREIC0Bnjss9FlVCRZ78NjCq+/KK6/0C39JRTbzF1zgzQ3cFryYW3B/ljNX4FnIwiPny/Ov0guIabnZ9ngAktyTZzNjZqGM8LjC1yoUwMKIWAiNC5uk7wmPIREcZfyS9nWpvLRf+yQggd4++71hr3ro0KF+gnv22WcXPEcGc8vSXe4k2D7ErL+FxH5YCFrGZyaqxRK/2YJAlBdAUPzHWfTDVmIsaxyTld5CceTVfGgg0Ik7rUUcm/URIr3j4ed4sc09QmxfVKMvmZggJvBysFh08hnwI4HesF//mp4Y9wlWHKxguJ7yPws4lhyKxa803yHuN5tkI1rNIsREm9jTNO3DDz/08fRkaq9Ejos0n11oWxYjsC6RyyGKTTgjPFYxtrW49WqIAz6TxVz6D7f2Ys8DFg+wdLG4+de//tWfm5oIlEuAOcMFF1zgfvvb3/okpIjP7bbbzlvWSVSaJnwiWAKRsYRnPN8fxpBCCdYKnT+LUXgj4jHGs7pRPMf4/uEBiDU/ynulEhnh0/Yp3gWMbcwpCKss1giXYgGGOeqIESNSPSPSnpe2b98EJNDbd/831NVjgWGApDQWD7pCjckr2zLA16shEpdffvlU9UPDXgBJLP+FtmHyy3s8dIMLBEEecV4ASRcForZjVZ6+gkGtG3HCWBywCBRqCHSsGsSiEyv4yCOP+JV6cgZIoNe6xxr388i+e8011/jsu0xoSQqFKzz3C/kKmIgRekNMehpLFscysc69SkZfs6wXy+SM4GQCyyTfrEuNQI8JLJZzriFpkjr2YZw27wIm48Uywqe9zqA4x6Om2CII4wElj/C8Qpw3SjKqtNes7RuPAM9hFvkOP/xwn0wOUWwlIHlWbbvttl6sUxebRbuki37c3zzDrNa6eadYospizzEW05ijsDiQduyqFmGuB6s58ze+r0kWLkrJCJ/2/E2csziLOC/WPzClj0eNGuVLMybty7TnpO1FAAIS6LoPGobAhRde6EvdkFG3WGOlk4QiDKj1aDxosCAjEGtpQQ5eK4msmBgEs9zHeQEkTQgXTvwWDAuIKgeXNK4/LmN81EJA1AOQyQeu67gUFnKx5zwRBwgdMu8Sa4oLM3kNGsWSUI97V5/ZlgDfm/B9xsQY8Y5YJ0svC1Em1hHOacQ6E2sTqsFMzky0Eev22ZwHtYlxmWfxMckEthb9aa6fK6ywgq9aUcqkFK8ni7dlwYIwguCCRdpjGiu4YjkvJs4Zv4444gi/wEDCr3osKtain/QZ9SMQNYbwGrHfhM0QUsNiMd5cjCMIeiziSe/7oHcK4wPeOniAmFgPPgdtMQ3Pm7ReQNUiyPnjEUSMPuK8lHJzHMPCaRhLojLCpz1/E+dJxrZXX33VL7KceOKJ7qSTTkrcd2nPSduLgBGQQNe9UFcCiPFf//rXXjyRyAmr7AEHHODFV5QLOJMt3KNI+IXLZDHRl/ThlxYAD0dc7LHM1ssay8OOVszTIO11JdnevAAsizwrzoVKwcVlgy+0YBA8j0JeAIgG7hkm+oXyBBATzHYDBgzw8ab0FwsqacRVEibaprUJcA+R6Zt40wceeMBPrK3s0sYbb5xqDMCSS3gKE8xgJmfcWBn/WBhAnNcrSVK4Jy2jscVlVmJMDWaEZ8GCcdzc4PFyifsMJuqIHRgmEec8X4gNJr9JvRZ1W/sboquLI2DeHlYCEuFODhcs64wl3P9x9719BsdCWFruC/5mTEKsk3uFY5urdtJjxp1/Oe8HF9MqlUGeYzIum5eSMWDRD5bB/EWFzt2SXWLsiVt4xPPmpz/9qRs5cqS3njcC13L6RPs2BwEJ9Obop5Y9SywgPFBwax8zZowbPny4t0xbZuVgDDeCjgkjk1wsJlECMCzu4mp6x1l1o/ZnFRc3VMo21WugZoLKufFgqUej32CAQKlkS+oFYLWpeSAXWgjgPmHCzyIClrNtttnGCx8J9Er2WPs6FpM63N8R61jYuZ+IWccqRvhEGu8My+TMvcwPjcki1pwkQrXa5FkswKWT0m5xtYBLPZewC6slyGKSjYUw/F01SxxJ3hDnxRYyeF4ce+yxfnEOcc4zRU0E6k3Acl9YCUi+Y5tssokX64wljAFp5hWMSYwfU6ZM8dnQmRtxr/NsTCJUq8kjmMAxLgylnPPgus1Dh3ErLiO8iXO8aTByFOONVxPi/Fe/+pU766yzUvVNOdekfUVAAl33QEMQ2HPPPf0K8Jlnnpk9n6hBkwQdTBbZNvw+DwN+ogRbKWW+oiy8hVy809b3DrtzF4oHL/Tg4KGBGIhLaFKtzrVyJFil00wmKnU+LNQwscEKUUhwW7I4+oysq4MHD/aTl3qcb6WuW8dpHAJ40lAHFzd4aiTzHd5pp518zHrSCgdYk0lkyL260korZbM5VzKTcynEKEvIeTG+cF61aJYgy8IBwhnh4UtoD26yScT5ySef7PuFxbl6jZO14KbPaF4CfO+JUzexTugWi94s+PGD50qS5xUCfcKECT77OM9D/keoVjrvQxrSfJ+xPHMecaUP0xw3btuojPDmoUPYEOM2YZIsYBAiWIwv4w3inHK/559/vhb34+Dr/YoSkECvKE4drBQCDOTE9px77rn+AcNDK9jsf0Q2rt1Yjc21nMHV4r+Cv9k/PPCm/T/qGHzGa6+95l2rsXQlFf7Ftgu/F7z2QrW+icNGoPPAKcULwPaBSZIJQLhfOWdqjBPfXY9VevqBMANCHYplY2aSDyvL5k6W51Kut5T7Wvu0HwLcZ1hpmWhTI5n/EetYxbbccsvI7wgTSRaZuCfJ1m5jWjCTMxNt7nWbYEZZlStNmRhxvi9MXgtVSqj0Z4aPF4y5RbDjwgonku+RA6BYeTT4kVH71ltv9eI8mKej2uet44tAqQS457GCs+DHD2EZeBMyhiDW8WSJenZNnjzZ564gGVww+aHlfcCyzIIbcwXL+5CmlGQp18N3kHkS31vEeT3mCJx3OKSIOROvERLAmFvMm45Qyh122MHzHz16tMR5KTeC9imLgAR6Wfi0czUImCAv57dZ04PHsNc450KLAHY9UaLfFgOYvGJVihKGaRcBinkBFEvqRrwqDxtcYZMuEtjxyvECCHoKkJGVCTzuZMU8AqoliHHzp5/IKl2owYYVfOokY+2XQK/GN1bHDBJgAsjkmnhTxDreJixAMtEjzAIvDoQ3i418f6knXswLhPvX4k3TZHIupVeIiycZEgtfLEA2QrP4XSznuLTDE8ugLVoE3dzZFjfU6667zmdrt1rtjXAdOgcRSEqA+5jvPOMHYp3FP+5lhDrjiFl+EcF8Zymjhugs1FjYCiaqtCSNeCLydyWf0TxzGUNYICDmvBrlFZNyDG7HYsGLL77ozwceNBtDwiXsyDRPiTwE+hVXXCFxXgpw7VM2AQn0shHqAM1GICjOo0R73MIAAjco4KMWAZIsABi3UrwAEJxMTMOxoVEP2qhFgLSiPioRHMKBRQLEebgcXPD6C3kBJHXzL+T+TxI4LAdY8YsJHCYmLCbgdsxKfiUnI8127+t8a0uA7w35NbCsk8kZ6/QWW2zhvT/wGNpvv/0S349mVTaxjqsmmZqxivG7UEWDpFeMpY0J/7rrrttQmc6pVc+CpGV/jnJhZfzhez1+/Hh35ZVXenG+/vrrJ710bScCDUuA7z3jhon1cePGeS9CYtWxuPM/C31JWzBJI+KeRWuzrKcpAxf1eYx3lGDlMxDn5Y5JSa8pbjtza8eowuIjzTLCMz9AsPMe4QaEwwwdOtQv6P/hD39IlQQ07jz0vgikISCBnoaWthWBhATiRH6S94t5ASBOEa5h61Hw9Ip5AQQXBcKXlNQLwBLVhTPJ23mncetPWgKuFC8AJgvsh5BnMqImAvUgwD34xz/+0WcCJokTk8HtttvOW8WIc0xTspHvWDiTMxNMy2Kc1mpF0jViWBG1jVQjnIU1OBFzHlWaycTGLbfc4s4++2z/Pd9jjz3coYce6hfktBhXjztdn1ktAnzvqXyw2267+bKBhHpYokpyX8S5bYfPi2e0VZVAqCKo+f5jWcdLJc33B88hy6dBGEqahJnV4sVxTZxjJY8qOwdTvHJY+Nx33329tx0MTjvtNM8ZFmoiUA8CEuj1oK7PFIEyCYS9ADhcWm+AsOU/eIzgsexUw14BPNCxZlG6qBQvADtu3IIA20V5AVgSGsQIrvbhjP/B/7Gcs02xeslldol2F4FYArvvvrt3cz/ssMO8pcnKLiFEt912W5/FmRrJabO4I9at5BAJFJm4m1UsLv4TK9xbb73lJ/dY4hulUSWCco6FxHlwXMIN9YILLnC/+c1v/ASb63nyySdTCYxGuW6dhwgUI8C4QUZxEiCyqEepWjx0KAXJd54xBLGOx0maiiXBigqMJexrYp3xqNixWCh7+eWXvdGAuPl6lZ8Nc0Ocs5BhoUTFFhyYzzD2YkGnzO8999zjDjnkEF/2V00E6kFAAr0e1PWZItAEBJJY+U3UF/pdzVwAPGyZSBAvxmQk2MIPYiYfCJUoK1wTdIVOsUUIsKgUVTqMbMeIdeJNEZgkliPWlERzWMbTWLJIimhiPS6TM67jeMIwqS4Ww1pr/CbO+V6T3KpQY3y59tprfVI4BAql7tREoNUJRI0jLNI99NBDXqwj2rGAI9YZRwYMGJBKNHN8EsthVUa48j0jXhtrMuNEcAzDPZxklzxfg8ku690HGA/I1p5EnBNCQJ4QQgdILtkorvn1ZqjPry8BCfT68m/aT8edkIcALk1YMInnCTdcE0eMGOHjAbFcUqrioosuyksaQszjkUce6SifxsCPZWnUqFGpJqRNC7Gdn3ghLwAT+0lyBSC82Y4JQ7FcALzHfVrt7LXtvEt1+WUS4D4leZyJdaxlWHOYZA8ZMiSyvGSxjyyUyZmJNq6txHfjjpomhrXMS4zdnezJ/CQR5zfccIO3mlOTnth+NREQAecrlzz66KN+wQ9LMKFdjB+MI4R6pXE/Z0xifme5L3jmBsuWMQfEzZ7wmDQW+2r2E+MelnM8DMipUWyBk2uDDUkxWdxIGx5UzevQsds3AQn09t3/JV/9f/3Xf/lJHRaY//mf/2kj0BnEscowkF988cU+burAAw90u+66q7v88sv95xJHTTbSrbbayp166qneknPQQQc5jn3ccceVfG7aUQSMQFC0l1pSTjRFoB4EuHexJFuNZKxBAwcOzNZIZkKZxrIezOSMOKcRnkJFikpnci6VFy7tuPsjzovF5MPm5ptvdscee6x39d16661L/UjtJwItTYDvPUYSKwHJmIErN27wLGqlEaR875i34aFD3gpcyLGck4eGuV4a4V8t6FwvYyWeN5SeKzZGci3kACEkiCR8ylFTrV7RcUshIIFeCjXtkyVw/fXXu6OPPrqNQMfdEPdM3I+tXM/YsWO9AGdwZ/JFtt2TTz7Zr8xanOR5553nBTzCP83kU10iAiLQ2ASoOIAAC7aTTjrJ8Z23lsTrprGvsjpnx8SYsRSLGNngn376aR+bzeSSH5LOJRkvOY4lXqM/mKAGMzljWWdim+RYlb5S+h6Lfpw453Nvu+02752FpwGlkNTaBwGNIeX1M4ncqHTA9wdBiqUZsY5lHUNJUoGKhd5EMGFjzOl4LZiosh5u4ohzLOcsOCLOi1n0SQyHwYi5Jx44yk9T3r2lvStPQAK98kzb1RELCXRiArFs4KJpjZgm3NhZzeVhQPINYiTZzhqJRijPwSRy1VVXbVcsdbEi0MoEmFyT3IjEO9aY3FlegCReN63MJ+m1IbKpCY5QR7Az4Sb208Q6cZRRApv9Jk6c6EszWckyPtMyObNQilgvJ5Nz0msIb2finLGf2NliDWHBPcSCL66pau2HgMaQyvU133sW+ljk4jvFXIxqEoh1ElYGK8QEP3XmzJleBJNQkpJlNtYEq0ogfpnrWaLKNFb6Uq8wjTjnGsjQTiNUU7lpSqWu/apJQAK9mnTbwbELCXTK3BBH+Mgjj+RRYLWSffbee29fYogHLrUmrTF5xO2SOsGbbLJJOyCoSxSB9kGA7zreNvxEtSReN+2DVPKrRHQjqplg48LK4ieTZsQ6E22bQJP0iRAiLF2I80K5GCyTsyWHIhuzTbLjMjknP+v8LfEMYOEgiTjH0nXwwQe7m266yVu/1NoXAY0h1elvxofnn38+W1WCxHDMzxhDtt9++6yARXiTEA5PG8ITC3naIIAtUSVeOowdNo4ktdKnuVKyyLNogBU8LhYet/y99trLl6kkqV6a8pZpzknbikC5BCTQyyXYQvuffvrp7owzzih6RS+++KJ3rbRWTKDjzvrwww/nHY+V1BtvvNENHTrUPwCwkl999dXZbSZPnuzLYT377LM+3lJNBESgNQgwucalEktHv379fL3qE044IRsDmcTrpjVIVOcqEOt4KZEUCrFOkijGVzI5k4wTyzr5PZK6ckZlcrZJdjiTc6lXZFnkEedxiep4luy///4+5wkTbLX2R0BjSPX7nO89ItwSVfIdxaK+8cYbuz/96U++agKJJZOGwSCITayTkA1BbOXbko5Fxa46jTjn+UOtcxY1MR7FjTnVp61PEIHCBCTQdXdkCTBoWfKgQlh4QAZXQHFTZ9BGeJMtc/To0W7QoEG+7I1c3HVziYAIGIFLL73UW0lJyEPVBvJPYOllwkdL4nUjmskJWPjQaaed5oU7YzeLoiSHIoFnmozLJv5toh3M5EzcaSl1j02cM9nnnijW/va3v3lRTt6S/fbbL7E4SE5LWzYDAY0hte0lxPrrr7/u8wJhjCEZHOMIi37kGOJ7m1Soc+YsztoYQmkzXMtNrJdSYcXEOXNSwnyKjWl8NvNVPHYee+yxhiorWdte1ac1CwEJ9GbpqQY8T+pFshqJOMe9CEs4k21q+k6YMMEP4EzC+vTp48+e7cnkHkwSd8opp/gkcRajdP7557vLLrtMSeIasL91SiIQJlCK140dAyvv7rvv7hcFEXkI9DivG/VAOgKUtWRizWIpYzTMCSXAAm41kjfaaKNUAtsyOVvZJSa+xKMy0eZ3kkzOeEq9/fbb3hIXJ86ffPJJf5/8/ve/9+7taQRBOlrauh4ENIbUg3ryz8QCjvcNoUkklDPLOnM8ssBbCUi++2m+m4hrXOkZRxDrWNNNrCPc447F/lj6mTtusMEGRcU525L/hDGHMCAyzquJQKMTkEBv9B5q0PMjqQ+DNSuXb731lmMSRcPKQWzgWWed5a00xCpdeOGFfgAmgzuDuZVZw8Kz1lpr+RI5CHXq/7IN1neVWWvQjtdpiUCAQCleN7a7hbM899xzbsCAAYm8bgQ/HQEm18RasgBijfhQ3MVJMEdMN5YrxDreDOT9SCKw7ViIdeJSTawnyeRMnhGeGTwfWCgo1gh1wuLPwu3hhx8eO2lPR0dbNwIBjSGN0AvFz4GxmtxAwe89FRdMrJPcd9NNN/XzO8aS5ZdfPtV3lezy3AcYbxDt5Cpi7ohgxyU+LNbZHnFOQss4cc62hx12mE9YjCcOx1UTgWYgIIHeDL3UgOdILCCu7eGGOGegfeKJJxwifvjw4X7FktXRffbZx2HRsZJq7EtsJOVycHnFksIkDIEet3ragEh0SiIgAikIIA7Jwo3VnFrcliSumNdNisNr0wQEEPDjxo3zYh0rOxNe+oSJ9uabb+7/T9MQ6+bCGpXJOY04p4wTk/3f/e53buTIkXompOmIdrKtxpD6dzSLdIzheOdQWYJkc8SrW1UJcgqlmc8RPjN16tSsWGfBMJiokvcR57yOOC8WXsO2Rx55pM9p9Pjjj2dL/tafms5ABOIJSKDHM9IWEQQs2zplOlg5tXbOOee4G264wbsSqYmACIgABJggYSmnvCJltEg2ecwxx/iEk1Zm0cqsFfO6Ec3qEcANlEmslV2iPwhTQqxvueWW2TCkpGcQzuRM2SZeI1eJhT0VOtYrr7ziPbROPfVU702VZoKf9Py0XXMR0BjS+P2FWMfazoIfP8wPCWNhDEGwE7+e5rtMDDzel1ZVwvbFyEM1imILiOyLWz5Wc35YBFYTgWYiIIHeTL3VQOdaqBza2Wef7Uvg4MKoJgIiIAIQwOKBNw3jApl0V155ZV/J4cQTT8yrt5vE6yaOKOUdzzzzTO+588knn3irCYnFEHvBerxRE0WSkOHF094bbqFPPfWUu+2223wJN4T1jjvu6CfZZHROWyqJfqXMG+70uNwXy+RMUirqMSPMSSSYZkLf3vutla9fY0hz9S5iHWFtJSDxqmRxzkpAknAuzXebBUQWdhmbODY/xJJjXSeEJ5ggDnHOs+WBBx7w4pxqFmoi0GwEJNCbrceqeL7jx4/38eIkE/r444+9uxIrn9YYECnDRt1ysgLjHknW9qOOOiq7De7qDMhMwolH3GabbdwVV1zhS6epiYAIiEC1CVDbloSUe++9t09uhOA75JBDfIkuQmysMTm87rrr3A477JB9Det+JUr/VPsaa3l8LOlYL82FFYsWzHg2DB48uGBNdTtHJun0Ae6oJJLi2WDJoXiOWCZnhDtuq4jzI444wpE8LM0EvpZM9FmtTUBjSGX7l7kj44aJdbKoU0edEBZyTKy99tpFv+uMQcS507DII8bJYWS5LxDviHW2w0pPzgrGKzyCeAaoiUAzEpBAb8Zeq9I5EwOKSxKlkHbbbbc2Ap1BDws5WYEZXH/yk594kY6VqlevXv6siCNnkMS9iVVNrCAMzIj+UkrxVOlSdVgREIF2RICFR6zj7777bp5ADy9CtiMkJV0qlimsWCbW8aSidBtWMYS1PQfC4pwSSFGZky2TM/HmLKAg1rGysai7/vrrS6CX1EvaqRoENIZUhipiHXF9zz33+HkiCStxP2cMQazzvQ9aw5lPEvLCfojz8DzSqkqQ+2LUqFH+eCz0YUyiMgjeOmoi0IwEJNCbsddqcM5YLoKTVwZBXEWJ6TnppJP8GZAkjkkVP7gikp2dSTC/ScxBYwLXr18/72q0/fbb1+DM9REiIAIikE+AWuBYxRCC1hjjyEzMIiMukJThYUKXpj54e+aMWCczsmVyJrQA93esYsSPP/roo15gs5AbV9aIhRP2W2+99XwYAovFuNgzIVcTgUYgoDGkOr3w9ddfu/vvv9+Ldb73uKybWMcQhMcmYwhjQbEKE8xRyYE0duxY7+FDZSFyXSDY1USgGQlIoDdjr9XgnMMCnQnU6quv7mNJg5MmLCO8hyWEuFJKpWExD9a2xbURd0hWNNVEQAREoJYEKAeEV9DFF1/shg0blv1oSkESgoNLOy6XVI9goZGJuFo6AkyOqYtsYp14c15joZZFXcqpFXJXJwM0E2qyx1922WV+gYSYd/pFLu7p+kFbV4eAxpDqcA0flTAXRLqVgCSxJF45jAtUlSjkhclYc8kll7jf//73fixnzknjeOS9UBOBZiQggd6MvVaDcw4L9GeeecZtttlmPkMnlnRrWJyYYLFKefPNN7uDDz7YxxgGGy6QWKiuvvrqGpy5PkIERKAVCRCTHLfIh/s1meGt4cGD9YWfa6+9tigWBDwlvXC/VCudwL333uv22msvR8lNkgJiZR80aJBfpEWEYyEz4c3zBM8qYtnxvpL3QunctWc8AY0h8YwaYQvmkHjUMLckWzuincSUvMY4QuUgs6YjzvHavOCCC9wjjzySN/43wrXoHESgVAIS6KWSa/H9Cgl0JrzBEjkkX/rwww+9+2ghgc7kC+v7VVdd1eLUdHkiIALVIvDFF184foo1EgRZhnHGKsq6DRgwwOfNiBN/5N/ASkNODUq9qZVGgNrUhA3svvvu3oqOh5XFrBNisMkmm3gXVn4feOCBnjmLJ8pRUhpv7ZWcgMaQ5KzquSXjBx5NVN4gceecOXN8VQ48dCjLyfyUEpDErFPSF28o5qADBw6s52nrs0WgogQk0CuKs3UOltTFnYnWEkss4WufM4DiMioX99a5D3QlItCMBLDMIs6xvpArI4n4++///m93wgknuOnTpzvq7KpVlgBincVc3FcR7MSYY1nnuVEstrSyZ6GjiUAyAhpDknGq9VaUWaNkGyUg+WG8Jls7Y4maCLQSAQn0VurNCl5LoSRxxxxzjK8vSWNVE3dFsrsfdthh3jWUZEBMiPfcc0+/DeXaKLGmJHEV7BwdSgREoCABc2snM/CNN96YJ86XX355vx9u2FjKseIS60ytXCpOHHTQQT6OUa26BBDrzz//vK8GQny6mgg0EgGNIY3UG4XPxcQ6hiE1EWg1AhLordajZVzPN9984yZOnOiPQCI4km5ghWICxWQXIX7uuef62sH9+/f3GTNZucTFyMrrUL8WF0dcStnv+OOPd1OnTlWZtTL6RbuKgAgkJ8DYQy6MqIYwpOEOSUI4xjuyka+22mo+gdyIESNkzU2OWluKQEsS0BjSkt2qixKBpiIggd5U3VXdk0VsI8jDjThBHlhMbknSRLK3adOm+djOMWPG+NI41ogdwk2UePRZs2Z5l3dq2lJqTU0EREAEWpEAYxx1kvEYoo736NGj5XLZih2taxKBKhLQOFJFuDq0CDQZAQn0Juswna4IiIAIiEDjELj11lvd/vvv7xciqXTBAiZJz9544w3veaQmAiIgAnEENI7EEdL7ItC+CEigt6/+1tWKgAiIgAhUkACeRIIHJsYAAA6GSURBVNRZp0yYtbXXXtuXAyIkSE0EREAE4ghoHIkjpPdFoH0RkEBvX/2tqxUBERABEagQARJlLr744j6bMCV/rB111FHulVde8dmG1URABESgGAGNI7o/REAEwgQk0HVPiIAIiIAIiEAJBMj23LdvX0cN9U033TR7BBJoUnqSBJpqIiACIlCMgMYR3R8iIAIS6LoHREAEREAERKACBGxi/cwzz/iSbdbOPvtsd9NNN7m33nqrAp+iQ4iACLQyAY0jrdy7ujYRKI2ALOilcdNeIiACIiAC7ZyAXFPb+Q2gyxeBChDQOFIBiDqECLQYAQn0FutQXY4IiIAIiEDtCJDcacMNN/RZ3K2ts846buedd1aSuNp1gz5JBJqagMaRpu4+nbwIVJyABHrFkeqAIiACIiAC7YWAlUe66qqrvJv7H/7wB3fNNde4CRMmuJVXXrm9YNB1ioAIlEFA40gZ8LSrCLQgAQn0FuxUXZIIiIAIiEDtCGA9v+CCC9zHH3/s1ltvPXfppZe6LbbYouwToEzbHXfc4WPZu3fv7hPRnX/++W6ttdbKHvuggw7yCemCDWvcc889V/bn6wAiIAK1I6BxpHas9Uki0OgEJNAbvYd0fiIgAiIgAu2SwA477OCGDh3qNtpoIzdv3jx36qmnutdee8298cYbrkePHp4JAv3TTz911113XZbRYost5pZaaql2yUwXLQIikE9A44juCBFoPgIS6M3XZzpjERABERCBdkjg888/d8suu6yvr24WegT69OnT3V133dUOieiSRUAE0hLQOJKWmLYXgdoTkECvPXN9ogiIgAiIgAikJjBx4kTXv39/b0XHlZ6GQEecYzVfYokl3E9+8hNHmTeEvJoIiIAIhAloHNE9IQKNT0ACvfH7SGcoAiIgAiLQzgksXLjQZ4afNm2ae/LJJ7M0SC7Vs2dPn5Duvffec6NGjfLu8H//+99d165d2zk1Xb4IiECQgMYR3Q8i0BwEJNCbo590liIgAiIgAu2YwIgRI9z999/vnnrqKbfiiisWJEGiOsT62LFj3a677tqOienSRUAEwgQ0juieEIHmICCB3hz9pLMUAREQARFopwRGjhzp3djHjx/vVl111VgKuMEPGzbMnXTSSbHbagMREIH2QUDjSPvoZ11laxCQQG+NftRViIAIiIAItBgB3FGZVN95553u8ccf9/HncW3q1Kmub9++vh77AQccELe53hcBEWhxAhpHWryDdXktSUACvSW7VRclAiIgAiLQ7ASGDx/ubr75Znf33Xfn1T7v3bu3r4v+zTffuNNPP93tttturk+fPu799993p5xyivvggw/cm2++6Xr16tXsCHT+IiACZRLQOFImQO0uAnUgIIFeB+j6SBEQAREQARGII9ChQ4fITah5Tvb2WbNmuV122cW9/PLLvtQaIn2rrbZyZ555puvXr1/c4fW+CIhAOyCgcaQddLIuseUISKC3XJfqgkRABERABESgNAJY5M8444y8nZdbbjn3ySef+Ndwl+V9XOjJKD9gwAA3ZswYt+6665b2gdpLBESg5QhoHGm5LtUF1ZiABHqNgevjREAEREAERKBRCTCxvv322924ceOyp9ipUye3zDLL+P/PP/98X2f9+uuvd2uuuaY766yzfPK6t99+Wy71jdqpOi8RqDEBjSM1Bq6PazkCEugt16W6IBEQAREQAREojQATazLGv/LKK20OgPV8hRVWcEcffXQ2Q/zs2bMdFnaE+2GHHVbah2ovERCBliKgcaSlulMXUwcCEuh1gK6PFAEREAEREIFGJMDE+sILL3Qkouvatat3YT/nnHPcaqut5t599123+uqru5deesn98Ic/zJ7+zjvv7JZYYgl3ww03NOIl6ZxEQARqTEDjSI2B6+NajoAEest1qS5IBERABERABEoj8OCDD7qZM2d69/VPP/3Uu7C/9dZbbsKECd6NfbPNNnOTJ0/2lnRrhx56qJs0aZJ7+OGHS/tQ7SUCItBSBDSOtFR36mLqQEACvQ7Q9ZEiIAIiIAIi0AwEZsyY4a3mJ554ohs4cKAX6FOmTPEZ460dcsgh7sMPP3QPPfRQM1ySzlEERKDGBDSO1Bi4Pq7pCUigN30X6gJEQAREQAREoHoEBg8e7NZYYw13wgknyMW9eph1ZBFoaQIaR1q6e3VxFSYggV5hoDqcCIiACIiACLQKAZLAYUHHjX3UqFHetf2YY47xFnXanDlz3LLLLqskca3S4boOEagCAY0jVYCqQ7Y0AQn0lu5eXZwIiIAIiIAIJCdw/PHHuyFDhriVVlrJffbZZz4G/YknnnCvvfaaW3nllb0QP/fcc911113n+vfv7xPIPf744yqzlhyxthSBliegcaTlu1gXWGUCEuhVBqzDi4AIiIAIiECzEBg6dKiva/7FF1/42ufEnZ955plunXXW8ZdAqbUzzjjDXX311W7atGk+y/uYMWPceuut1yyXqPMUARGoMgGNI1UGrMO3PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxCQQG+GXtI5ioAIiIAIiIAIiIAIiIAIiIAItDwBCfSW72JdoAiIgAiIgAiIgAiIgAiIgAiIQDMQkEBvhl7SOYqACIiACIiACIiACIiACIiACLQ8AQn0lu9iXaAIiIAIiIAIiIAIiIAIiIAIiEAzEJBAb4Ze0jmKgAiIgAiIgAiIgAiIgAiIgAi0PAEJ9JbvYl2gCIiACIiACIiACIiACIiACIhAMxD4f80FOxjM8jHiAAAAAElFTkSuQmCC\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import cm\n",
    "fig, axes = plt.subplots(ncols=3, nrows=1, figsize=(10,4), subplot_kw={\"projection\": \"3d\"}, \n",
    "                         sharex=True, sharey=True)\n",
    "# fig.colorbar(im, ax=axes[0])\n",
    "# surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm, linewidth=0, antialiased=False)\n",
    "\n",
    "surf1 = axes[0].plot_surface(xx, yy, zz.real, cmap=cm.coolwarm, linewidth=0, antialiased=False)\n",
    "surf2 = axes[1].plot_surface(xx1, yy1, zz1.real, cmap=cm.coolwarm, linewidth=0, antialiased=False)\n",
    "\n",
    "axes[2].plot_wireframe(xx, yy, zz.real, cmap=cm.coolwarm, linewidth=.8, antialiased=False)\n",
    "axes[2].plot_surface(xx1, yy1, zz1.real, cmap=cm.coolwarm, linewidth=1, antialiased=False)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "cd1b454d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0  1  2 ... 97 98 99]\n",
      " [ 0  1  2 ... 97 98 99]\n",
      " [ 0  1  2 ... 97 98 99]\n",
      " ...\n",
      " [ 0  1  2 ... 97 98 99]\n",
      " [ 0  1  2 ... 97 98 99]\n",
      " [ 0  1  2 ... 97 98 99]] [[ 0  0  0 ...  0  0  0]\n",
      " [ 1  1  1 ...  1  1  1]\n",
      " [ 2  2  2 ...  2  2  2]\n",
      " ...\n",
      " [97 97 97 ... 97 97 97]\n",
      " [98 98 98 ... 98 98 98]\n",
      " [99 99 99 ... 99 99 99]]\n",
      "[[ 0  0  0 ...  0  0  0]\n",
      " [ 1  1  1 ...  1  1  1]\n",
      " [ 2  2  2 ...  2  2  2]\n",
      " ...\n",
      " [97 97 97 ... 97 97 97]\n",
      " [98 98 98 ... 98 98 98]\n",
      " [99 99 99 ... 99 99 99]] [[ 0  1  2 ... 97 98 99]\n",
      " [ 0  1  2 ... 97 98 99]\n",
      " [ 0  1  2 ... 97 98 99]\n",
      " ...\n",
      " [ 0  1  2 ... 97 98 99]\n",
      " [ 0  1  2 ... 97 98 99]\n",
      " [ 0  1  2 ... 97 98 99]]\n"
     ]
    }
   ],
   "source": [
    "x, y = np.meshgrid(range(100), range(100))\n",
    "print(x,y)\n",
    "\n",
    "def meshgrid(x, y):\n",
    "    xx = np.empty(shape=(len(x), len(y)), dtype=int)\n",
    "    yy = np.empty(shape=(len(x), len(y)), dtype=int)\n",
    "    for j in y:\n",
    "        for k in x:\n",
    "            xx[j,k] = k  # change to x[k] if indexing xy\n",
    "            yy[j,k] = j  # change to y[j] if indexing xy\n",
    "    return yy, xx\n",
    "\n",
    "x2, y2 = meshgrid(range(100), range(100))\n",
    "print(x2, y2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fff92fde",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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