ground_stations.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When the following expression is positive, the ground station is in view:\n",
    "$$ r(sin(\\phi)cos(2\\pi t)cos(i)cos(2\\pi \\omega t)+sin(\\phi)sin(2\\pi t)sin(2\\pi \\omega t)-cos(\\phi)sin(i)cos(2\\pi\\omega t))-1$$\n",
    "\n",
    "Where t is in units of days, $$r=1+h/R$$ and h is the altitude and R the radius of the Earth, and $$\\omega=\\frac{T2}{T1}$$ where $T2 = 86400$ (seconds in a day), and $$T1 =2\\pi\\sqrt{\\frac{(h+R)^2}{\\mu}}$$ "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Verified in Geogebra: ![ground station](ground_station.PNG)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import *\n",
    "from matplotlib.pyplot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "@vectorize\n",
    "def gs(l, i, h):\n",
    "    R = 6378e3\n",
    "    r = 1+h*1e3/R\n",
    "    N = 100000\n",
    "    maxd = 10\n",
    "    t = linspace(0,maxd,N)\n",
    "    #l = 0.8*np.pi/2\n",
    "    #i = 0.8\n",
    "    mu = 3.98e14\n",
    "    T2 = 86400\n",
    "    T1 = 2*pi*sqrt((R*r)**3/mu)\n",
    "    w = T2/T1\n",
    "    f = r*(sin(l)*cos(2*pi*t)*cos(i)*cos(2*pi*w*t)+sin(l)*sin(2*pi*t)*sin(2*pi*w*t)\\\n",
    "           -cos(l)*sin(i)*cos(2*pi*w*t))-1\n",
    "    g = np.sum(f>=0)/(float(N))\n",
    "    return g\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "R = 6378.\n",
    "h = 410"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "l = np.arccos(R/(R+h))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20.015628590635878"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.degrees(l)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "lat = np.radians(50)\n",
    "i = np.radians(62.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 0.49361086505000357)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "th1 = arccos((-sin(l)+cos(i)*sin(lat))/(sin(i)*cos(lat)))\n",
    "#th2 = arccos((sin(l)+cos(i)*sin(lat))/(sin(i)*cos(lat)))\n",
    "0, th1/np.pi \n",
    "#(th1-th2)/np.pi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(0.03482)"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gs(lat, i, h)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.3452832096513343, 0.00017453292519943296, -0.34524830306629439)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i+l, lat, i-l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ls = linspace(0, pi/2, 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "lateff = map(lambda l: gs(l, 0, 400), ls)\n",
    "lateff2 = map(lambda l: gs(l, 0, 300), ls)\n",
    "lateff3 = map(lambda l: gs(l, 0.2, 300), ls)\n",
    "lateff4 = map(lambda l: gs(l, 0.5, 300), ls)\n",
    "lateff7 = map(lambda l: gs(l, 0.8, 300), ls)\n",
    "lateff71 = map(lambda l: gs(l, 0.8, 400), ls)\n",
    "lateff8 = map(lambda l: gs(l, 1.1, 300), ls)\n",
    "lateff9 = map(lambda l: gs(l, 1.3, 300), ls)\n",
    "lateff10 = map(lambda l: gs(l, 1.4, 300), ls)\n",
    "lateff11 = map(lambda l: gs(l, 1.5, 300), ls)\n",
    "lateff5 = map(lambda l: gs(l, np.pi/2, 300), ls)\n",
    "lateff6 = map(lambda l: gs(l, np.pi/2, 400), ls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "mpl.rcParams['savefig.dpi'] = 120\n",
    "mpl.rcParams['figure.dpi'] = 120"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "x,y = np.meshgrid(np.linspace(0.01, np.pi/2, 50), np.linspace(0.01, np.pi/2, 50))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "hi = 300  #km"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "z = np.array([gs(ls, elt, hi) for elt in ls])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy.ma as ma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "zm = ma.array(z, mask=z<=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\johan\\Miniconda2\\envs\\aerohybrid\\lib\\site-packages\\ipykernel\\__main__.py:1: RuntimeWarning: divide by zero encountered in log\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "zl = np.log(zm)\n",
    "xl = np.log(x)\n",
    "yl = np.log(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "v = (zl - zl.min().min())\n",
    "v = v / v.max().max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "figure()\n",
    "contourf(xl, yl, zl)\n",
    "xlabel('\\pi/2 minus latitude of ground station')\n",
    "ylabel('inclination of orbit')\n",
    "title('Ground station average comm factor at h=%skm'%hi)\n",
    "colorbar();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Rp3SyPGb11Av+rQ78rQj6nQ74ra7Nu11+8DoW4PP4gt+hML6gpIsajS9oNtLUCvz7bXAk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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa2ed780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7ReDky+fznDt3jkwm0zEZQ+P4zXCuxfDwcCXpLfiZEAK9MQuxMnl6EpTy/10q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\ni4OSGHHPD8ZX2u+u0BJdJmEj4aFdA21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uRJTdELJSitXV1cr2m+VmBFV0MC3EMAw/11ep\nSoUePB4cY7dELYSoqzEGUZ0bGxvMzs72RJd2Kx0aBpefOsYTP72ZSOy8W5V3IQ3Bxe88xJmHR3ju\nczObyPrw2QFmZjI4oR7nP5lL4ZQ3YQkwBMyWJC9nTF6zz18AnLMFx8qnrmRbeEhMy2F1bQDHjiEE\n5PIJBvpLuI7JoXd9EeORSexy/lBCC5IZkEIgbZCuAEcgSxLhGIiigShZkE4Q+8nPb3qfg8NH+Wf/\nx3W+8FvvYGX0rzk4ZKL7DUp5yKX///bePD6Sus7/f1b1ke7ONZO5J8kkM5kcM8wwVwYQEQURReUH\nKB67q6vLF3RZHZBLWfnCoi6ICJ7LKb/1RF1R+Y3uIrKyiCzCZAYGGJjJOUkm9+Tsu7u6jt8fnU9N\nddKddJLuJIR+Ph48hlxd1VXVr3rX+/N+v94xVAX0GBiaQXR88nVM17DLeQRUBUmXcAyM8Kfr78Qp\n2cgvWU7133yADRe8DbtrdoGQz+eb9UDgqZze7rzzTp56avIxyAZLSpCn+nAJH19d16murp7SEWqu\nguz1emlubjaj1blMjU6VQ7YaDFVUVFBTU5Py/c9GkEVeva2tDbfbTXl5OeXl5VP+vq7r6HrcKMdm\ns52yvBzfthBq8bvW78mybIpzJkRajP+xNilEo9GkeWkh0KnqpcXCrKboSDaJkop8PnTfGUmPtxLW\n4u3H49gcMh+7axcAIa+S8LuuAjvv+NuN/PKbRxJfxCGDMl6DLBuENXiizwlIOCUD3YDnh+FDqyR0\nCUZisNoB4YiDSMRFYX6I0bECnE4dR20vq/75T0RjBqoWb7wrioLsl5B1CUmTkCJgM2RQbBCxIUcd\nELGjh1wEP/JTCqLRlE8Y7/7H+wB46bHv0vHsL7DbJVwF4EEiFtOJRgwiofi2nTYnhhGviZYkmbAe\nxSHLaLpEdMxLy0OP0f/8y5z99evTP9kW5hIhp3J6O3LkCO3t7WZ03N3dze7du2loaJjT5zoVS0qQ\nkyFM2yORSEJ971TMVpCtol9bW0tfX9+cqzQmCrJhGPT29tLR0cG6devSqo0WOex0EdNAPB4Pu3fv\nxuv1moNKJ2IVYoiLYbII3fovnBJpMerJGkWLf8VrZSrlkSovLUZIWeul8/PzzWhaeDCrio4z386n\nHz8Xhyv5MVfCmpkntjtlzvjIBlZXxaP3kC9xLcDmkKncWZJgqewqsBM1VGLjghzSJP7fbjcxLW4k\n5JDgYAA0JGxARMMsswvpUCCBz+8hz2Zw9m/vJxzTiMbiLptFPhl7DCRFQo7I8c2qxAU4JiHFHEiK\nDT3oxAjn4a/7FL4JlS/WOnK3222elz0fuZY9H7kWgAOP3EXX839EAlzO+PlzIoFmIGkGdkkmENEo\ncDhx2/IYDkexSQ7yy9Zwxu2zH7SajZTF9u3bEya/V1ZWcujQoVyVRTpYhSASidDa2pqWB/JEZirI\nwm85GAwmmLefPHlyzqkPIciGYTA0NERrayslJSUzmsWXboQcCoVobm5G07SEaSA+n2/S36cjxNPt\nk/VfgVWgU0XS1m1lolU+2XSSYDCYkJcOBoPkr7dx9pcqiTlDRKO2pFGjElLNCFm2SVz6L6ebP4v4\nTwmyw2XjfVfXEpvQyq0qOoblU5nnsaOigxqvP+6IwAujEqXOuA4/O6ZxdqEd3QCvCgUOlfOe+R5R\nOUI4Fjc3Lo7IOPzEc8SApIKkyBCTkTUZInbQZIyIAz3sRA/nofk9rL7gclZb9k3MPxSlZqFQyKyS\nsU4TP/PKmznzypuB+Hk7cP+36f/rC6iGhg3QzfMok79lM6d//BJWb6udy2kEspdDnk+WlCBDYqPF\npk2b0vJAnki6gixMhkZHR6mqqpqUv81Ul10kEuHgwYO43e5ZlZjJsjzlflhbqWtqahLM3sXfC2G0\niqV4lM+kd4AQaGvUn0ykDcPA5/MhyzKxWMwU6kxE0hNrXzVN4/Dhw1z9zBmTzHNE1CgEKTweBTvc\nNt6zr5aiVafWDcLBU9eUYRic/w/VvPHXgYSbymnnrOSlvwyYX6tRDVu+DdDQkPj/hm1ohoHbBj7N\n4GjY4Lwi8OkGb7/lKUo/+CoRzQADXDGJgrCMFAWiMsRAjskQlpGkeHrCiNkgaseIOjAUO0YkDzXo\nwnPjDyYdl4mlZuLYiJvXxGYfcVx2X/V58j5/A4Zh8NJLL7F37945n6NkZMsL2UpHR0dWX39JCbJY\nRNuwYUPabcHJmG5qiKqqdHR0MDAwMKXJ0Fxz0cFgkMbGRgKBAHv37p212X2qCNmah56qOUWYE4nq\nCSHE8+VNMVGkRY6+oKCA8vJy0x40W4uH4v0mG0tvnZo9ODhIV3tffHs2g9M/ugyfz2f6BUfHBVmS\nYeeF6yle5SISVNHH75XuAjtvv7yMhv85tbi0ekM+w0PxKhuny4ZC/ByciMHJ0fgfrtjay3kP/Zxo\nVEfVwK5LFPtt8SqJCEheGZn4sTN0kFQ7Rjg+gFWKODBUGS2Uhx51ogedxIL5LPOkN24sVbNPOBye\ndPMScyb7+vooLCzE4/Fk9Bqay/imxcKSEmSHw8GZZ54554gtlZBavS3KysrSauqYzTioaDRKa2sr\nfr+fTZs2mSY9s0VEkQKrCX06eWhJkgiFQvj9frMyYSEctUQaSlEUtmzZMqlCxpqXnirlMZvFw1Tv\nd2LU+Fe3Dwhw0T/XYnORMDXbPxrPTzvybLzvc/EZdXFBHt9H1aBqdzE2u4SmGjhdNjbvXMHgU13x\nn+vxrjgFjZAEAT3Gr478gBhRxGW2LGDDHrQhR0DSJAwdZGzx6g5NgpATQ7VjKDaISWgRJ4biRFcc\n6FEHit9D8U1fS/u4pDpWyW5eopkoFovR2dmZkPKw5qZnW0euKErGB5vON0tKkGF2ZuoTmSjI1oW0\nmXhb2O120yAlHUQ79eDgoDnpxDAM2trapv/jKbBGyMPDw7S0tFBcXDxtHloImsfjobCw0Kxzdjgc\nFBYWUlRUZFYmZFOghWnR4OCgmRpKxlR5aWuaZaaLhzNyuguqLFvv5sJ/3IbNnriI+VO1G4DC1XaC\njh4aGk7Q0eZHHa9N3nXBWmKKjjwuyEiwdmMh6vgiYZ7LTtzGB265/3G2vL2d2Hi+uiAq4/HbICAh\n6afOhaRK6IqMFHZiKLa4MVHQGc8ZR50YuoQedRD1u9CieahhF+51ma8egPh5cbvdCd1uVn+TwcFB\n2tvbUVUVl8uVkJd2uVxTXmNLwQsZlqAgZwIhyNbSr5kupMGpaR/TYY28y8vLJ9X6zvViE80lL730\nErIss3379iknYE9csLPb7VRVVZk/F23N1knPoq1ZCHUm7DYNw6C/v5+Ojg5KS0s544wzZvWa1qhY\nMNPFw3RvOOu3FnHeZ6sTxFjsgxrVsTtlPvylXezZswnDMDj6X4cwtD7y8mWqzrHTfKwtbhIPeArt\nIOuosfi+VdQVs2rDX7jijieIxQw0DZyaRKHXhi0iIUUlNFVCFmUbITsEnEiKHUMHI2ZDDzvBkNGi\ndvSIE0OV0GNOdNWBFnUSzctMq3Eykk2cTpXyiEQiZiqor6+PSCRiusRZq18mntc3sxcyLEFBzoQF\np4hsGxoayM/Pn3VTx3SLekJw2tvbWb16ddLIe64XWDQapaurC7/fz44dO6Zc9Eh3wc7pdE6a9Cza\nmv1+P52dnWb5mFWkCwoK0m5HF3niwsJC9uzZk/GxPOkuHop9AdJaPPzwV3em3GYsqmNzyJz1oQog\nfm6V4Pi1ashc+g9nc+gvrci2HiRZ4/R3ldDTOQgGFCxXuPXRWwhGVWJxH3qW++04QhJEiRvVh20Q\nckDYATEZw4jP2DMM0PwujFg8Qo753fHfj9pRw3noMTshbz6yZKP6vtnVAKdDugNOJUnC7XbjdrsT\nnoYmmt2La6yrq4sjR44gyzLDw8OTFqXnwu23384PfvADcz/uvPNO3v/+92fs9Sey5AR5rvh8Ppqa\nmgiFQpx11llTRpLTYbfbUwqySB0UFRVlZTSTWHg8efIkq1evxu12TyvGc1mwm9jWDPEPYCAQwOfz\n0dPTQyAQQNd1M8oRKQ/rTWi6PHE2mSjSiqLQ2tpKMBhk8+bNc148VBWNC66swWmpYQ764s0iZ36g\nHIfTRiSoIkngznfwvr/dxh9/2cptj/4blbtPEIzGxbsoIuP22eJCDBgRG9poHnJw8jVkqDKa14Oh\n2pBkHSXgRgKUUB6GKhPy5aNG8pCQUGKZn9NoZa4Tpyea3UP8Jrps2TLa29vx+/1cfvnljI6Ocvfd\nd3PhhRdmYre57rrruPHGGzPyWtORE+RxgsEgLS0tqKpKdXU1R48enZMYQ/KUhZhfZ7fbJ3loZALD\nMOju7ubEiROUlZVx1llnmYKY6vfnUk88FTabjeLi4oSuSFHj6/P5GBgYoLW11SyTUlWVcDhMVVUV\na9euXbDHT3EMu7u7qaysnDQzcbrFQ0iel3a67Lz3M4n1tqHx2uR3/90mAMIBFS1mADrV9W+wett1\nRMarJ/I0icIRGzZFQtJBD9uQAg4kTYaYNdKPC3XM50JWnOi6FF+0i0kYmo1Y2EEs7EKW4p2Auqxj\n6HYGh9axJStHNE6ylMVckWWZ6upqLr74Yt544w0ee+yxhHWCNxtLTpBn+iGORCK0tbUlNJBkCmvK\nQnQMRqPRKV3SZsvExhGriVGysrdsCvFUTKzxFWmb48ePU1xcTEFBAT09PXR0dOB2u80ourCwMOkU\n40wzOjpKc3OzuWaQTEBm09QC8K3XPogr35EwTivsj+EusHPa2+Mt3pFgDF2P8vDr9zHgPVWhs8Jn\nxxGUQAU9akPyO5DV+GuomoTNiB8XXZPQFBux4ULssoEuG6hhJ2owD7tLJTRSiN2poikOotE8dN2G\nGnUQCXnY/ZNPZ/BITmauEfJU+Hw+Mw8tSVJGhf/f/u3f+MlPfkJ9fT333ntvVmudl5wgp4uiKLS3\ntzM8PExVVRVbt27N+IfdbrejKAqNjY2Mjo4mnQiSLqmM7uFUmiUvLy9p40iyxo75FuJkWPPEExdM\nJxoEdXV1EY1GycvLM0W6qKho2tX3dBFueaqqsm3btlk9HU2Xl87zSJMWD8NBlbMv3YA0ru1bzvwW\n/3bkNULj7kKFURmP14akgKHISD4HcixR1GRAV+PDSdWRfLRQHiCBLUbU7yIWdON0KYRG4oIV8hYg\nSQa6LqNGHWgxB7om4141tyfC6VBVNWsz78bGxmZdgzyVsdDVV1/NrbfeiiRJ3Hrrrdxwww38+7//\n+1x3NyVLTpCn+3Ba58pNZ8ozlQhOhyjVCgaD006ong4RaU+864fDYVpaWohGo9TW1k45NVrTtARz\nn4UU4nTyxMkMggzDMA2CfD4ffX19hMNh08VNiLTH40n7vem6TmdnJwMDA1OW1M2W6UR6bWUB7/7k\nJiKR5xkL/xN5q3RUFRy6xPIxG1JYQtYkjDEHUtRGgvEF8YhYkiDqdWOM5YMhzOsh6nOjReI547DP\ng6bYiATzkCWZaMSJXQZDl9FUG6Ggm8OHD2MYhlnmKHL9c/VjEcx0WshMyIax0ESuuuoqPvjBD85q\nG+my5AQ5FbquJ+RWp2vqSDbtI93t9PT0cOLECUpLS8nPz2f9+vVz2veJgiwsN0dGRtKKumVZJhAI\n0NfXN2PByiSaptHZ2cnJkyepqqqa8dOCJEm4XC5cLleCcIoyPJ/PN6kMz1orPfF8Dw4O0tbWxpo1\na2ZdUjcbrCJ90w/PZnDkbfSPnapXL/HbcYYkJBXw29H8dmSsZZCgazKSAdGBIpTBQhyOUykpXZfw\nnyzG5dLQdQnvYBF57ihKyI2u2vB6CyheFsDQ7WiajK5LtPSu4DP19ei6bjYBDQ8P09HRMakueLbp\no2ymLLLlY9HX18e6desAePzxx9m2bVvGt2FlyQnyxIvE2pW2Zs0azjrrrLTu0g6HY0ZTQ6w1yytX\nrjRzuL29vbN6H1aEW5uu65w4cYKenp5po3uxT+KmUltbi9frZWBgICGqFDWgmZpZl2o/BgYGaG9v\nZ/369RkXv2RleLFYLKEMLxAIIMuy2WQwNDSEy+Vi586dC9bdNea9gdHQE2bjR6Ei4/bKSIqEFLWD\nz4auynEzNwM0VUaWDWJj+Sj9Rag+F8RnTuNwxKs1dF1itCvuRKY5dCIBN9GgG5dbYXRwOUUlPmJR\nJ4ZuQ43FxXlwYBUrPhavMxfHyPrUIuqCxfHs7e0lGo3icDgSrEut7m/JyLYgb9q0KeOv+8UvfpFX\nXnkFSZKorKzkoYceyvg2rCw5QRYYhmFGQMuWLZt1U0c65WhiIWguNctTIUkSAwMD9Pb2pqxXtpIs\nT7xy5coEy0BFUfD5fKYpTCgUwuFwJORnMxFJi4EA+fn5WaknToXD4Zg0wTgajdLc3ExPT0/cCCgc\n5tVXX00QlWyOgBIoymEGvH9HJBI/Pw5dYtnYeHOHJoPXjhQbXziUDDRNwgjnEe0rRBkuBH1C04lN\nRzfA0GTGulcRjTgoKAqhxuyMDSzHlR9h9GQJEuAdKka26ShRB309q1GiLgxd4tKvnplyf611wdZW\naDFo1O/3MzQ0RDgcRpKkhOYNa+15JsaipSJbEfJPf/rTjL/mVCxJQRYC6fF4Zj2AMx1joEAgQHNz\nM4A5v24iwphnthHh6OgoIyMjGIYxbb3yTBbsnE5nUpFO9ugvouiZtElb88R1dXXzWk88EWuEXlZW\nxmmnnWaeD13XTVHp7+83/ayFpaS4OWUij6rrKidHziYQ8SF6l5YH7eQFTqUnCNuQkOJT+XQJZchD\nuHMFejT5edcMcNoMdNXG6InV6Kodm2Qg2XSGu1djEI+awwEPNkeMSCgfQ5Pxe4vQVAeGIaPrtlkJ\npdPpnHTTE7XnosMuEAiYeWnR1OFwODKWlxYsBWMhWIKCHI1G6ejoSCmQ6TKVIAuxCQaD1NTUTFkG\nI/K/MxXkYDBIc3MzhmGwcuVKysrKUopxpiwxp3r0T5WfFZG0eH9zzRNnGmFokypCl2XZfB+lpaUA\nCXnUoaEh2tvbicVi5mKXuDnNpJnH67uF0eBviY2nJwoUGY9XRo5JSJF4ekIaL10zdBk94iDcvhwt\n7EwpxvGdlVAUO/7+FRjaKVEdGyhB12xgQGCsEN2AWNANBui6DUOPd/Lp+nhOeg5Bg5VUteehUIgj\nR44wOjpKd3e3mZe2RtNzqZjxer0ZLyVdCJacILtcLnbt2jXn1xE5ZCuxWIz29va0Bn0KhCCnGxGI\n7jCfz0dNTQ0lJSU0NTWlLHTPtiVmskd/q0i3t7cTDAaR5fh492AwyNq1a6mvr8/6o/9UxGIxs768\npqYmZQVKMqx5VLGgI8rwfD4fo6OjnDhxgmg0ai52CZGeKCqKcpST3o8QHp9Ybddh2Zgde5L0hGHY\nMDSDSOdy1DEP43byKfdT020MnyzGiNpxOsYnU6syb7SspXq9j5gmxU2EdDuaLmEYEpoeH5kURwJk\nIpqUUIWTyXFa1uNpt9vNdY9UfhXWvHRBQUHaFp3z4YU8Hyw5Qc5kl5kQ5ImLaVMN+pxIup7IIrLs\n6+tj48aNCd1hyUYwLWQ98USRFnXQNpuNsrIyQqEQhw4dSmgCEV4W2a5kMAyDnp4eurq6qKysnFO5\noRVrGZ6YpSbK8EQuvqenh0gkgtPppKiogMJlnyIQHbOkJ2zkBeQk6QkJdIgOFKD0FZ4qXQMg+fFS\nVZmu9vUcOVTLOe94FQDNkBgeLaC7fwXV631ggBJzohsSUcVOni0+CVpCQjck9HGR/vNyiSuczoTO\nQ+tNXrz/TIzTsr5eMr8Ka17aOpUkVV5akBPkRUymDIYURaG3tzdt3+BkpGMwJKw9169fn7Qcz/oa\ni6mxQ3Q5RqPRpPXEmqaZkfSJEycSKh2sHXiZEmkxC3D58uUpu+wyibUMz7rYNTr6VbzRX+CPxK/B\n/JhEvtcWr56YlJ6QUANuIp3LMJTJ+2sYk8+tpsocfbWa9sYKHE4Fcfo1Vea5Q9WsLgmgaBLNfcuo\nWhFB1eOTq71RGY8kxVMiuoxhyLRHdPZ+qnrGjnji/Wdy5iFMnZcWpZvWvLQkSbS2tmat6eT73/8+\n9913HzabjQ984APcfffdGd+GlSUpyHNFPJ729PSwdu3aGVdoWJlKkIeHhxMEJNU2xGtomrYohFhM\nGhHNFKnyxDabbdK8OiHSfr+f7u5uc3iqEOmZusJBfN2gpaUFRVE47bTT5uxBMlt0Pcjw6NsIqSqx\nmIHNgOVeO/bQ5PSErssYMZlIZwmaf4qqHC0xsFBVGwefO52TvfGo0uVWx78v85eD1UQVO0WeCJom\nM+zPp3plhKMnC9i2IkqPP4/yfA0HYBgyB7wGTwdUfvfx5A4W0zW1WAODbIr0VHnp9vZ2/vCHP9Dd\n3c2uXbuoqKjgqquu4uKLL57zdp955hn279/Pq6++Sl5eXsKw02yRE+QJiHZegJUrV1JXVzen10uW\nsvD7/TQ3N2Oz2dixY8eUBkPisXF4eBi32z0vZVlT7cvJkyfNJ4bZ1BOnEmmrK5zf7weY5Ao3xgyi\nrQAAIABJREFUUaRFKqm/v3/BFxB1PcZY/9lIDsiPyRT5JeyhZOkJGTSDaG8xsZMFTJUjRpLNCNlA\nIha18/yf6vGNnZoe4/FE0AwbLZ0r6R9chixr5LtiNLStoSBPRdOhz+dhy/IooZiNEwEZDIk/DtoY\n0w10Cco3pr8YNhPbUutTnTgvmVo8FE9a27dv5/777+fcc8/l8OHDnDhxImNm9Q888AA333yzuXhr\nfQrKFktSkGeTshATl1VVpba21nT8mivWCFlUZ4RCIWpqaqYt0xG5vJUrV6JpGn19febNYi4R5WwQ\nLnWi1jqT9cSpIiAh0r29vQnWnUVFRei6Tl9fn/kEk+33PxWGYTDSfgt2J9gCBlJQSpmeiI15iHYV\nY6jT769hxIeVarpMKODir3+qJxI+FU1LMrhdYQJBJ4ffEB7LINl02gaWcW5NP23D+Wi6RPOom6Nj\neUQM8KoSiqRjoGMwd/FKJdIQF2VVVWlrayM/Pz8ri4fCRU6SJCoqKubwThJpbm7mueee45ZbbsHl\ncnHPPfdkbUCrYEkK8kyIRqO0tbXh8/morq42S74CgUDCHLrZInLRLS0t5gii1atXp9VhJy5qh8NB\neXm5+XNrRGl97LdGk5nKzYr5fpFIhNra2jnN9psJ1nI0ga7rDA0NmZON7XY7AwMDBIPBlP7K2SYQ\nCNB07AjVRX+AMEhBJldP6DJ61E64vSQ+sWMG6IbMyOByDjyzA02bMLxA1nHmxfjzizXoxqlUyOvd\nyzGQ6B7z0OnNY0xx0BlwoEoG0XERNsalWM+AICdDXHsjIyO0tLSwYcMG01LVGknPdJxWMrxe74yq\naKxMZSykqiojIyO8+OKLHDx4kI9+9KMcP348q09hS1KQ0zlgVgP3iVUNEBfBuXqq6rrO2NiY6Sg3\nXXVGugt2ySLK6UR6plUO1jzxpk2b0irxyyaappnufLW1teaiTyp/ZdHYIUQ6040Iqqpy/PhxvF4v\ntavbkQZA0klMTxgyaBDuWoY6ks+U6YlkGAZd7es5/NdtkGRxDx3aulbiD1oWsySDrtH4TbP1ZBEh\ndJBBF4NJLP9lE0VRaG5uRtM0du3aldC9OpdxWsmu32wZCz3wwAN86EMfQpIkMz03NDSUcQMqK0tS\nkKdCmAx1dXWZBu7JTnK65WrJEG3bra2tuN1uysrKEgY7Jvv9uVZOpBLpZFUOVpGeaLoj8sTHjx+f\ndZ44k1i77EpLS9m7d2/C/kz0V4ZTCz4+n8/0F9E0DY/Hk9AaPhuRth6f8vJyqqurCR34arxCwhtP\nTxjEpz0rgwVEe4smtTpPh+TIQy4o5vnfVtDTlnrgqKLb6O09VY0g2SAqnVJfU8MNI0GEdfNfg8Ri\nyrljPV+bNm2a9mkQZpeXFn8nSVLWmkIuvfRSnnnmGc477zyam5tRFCWhszUbLElBTnYBiAvl+PHj\nrFq1alo/CGFZOVO8Xi9NTU243W52795NIBBgeHg46e9mqsMuFVNVOfh8vgTTHRFFDg0NmWOl5st3\nIhWBQMA8ljPZH2tjh3DaMwyDYDCYtPvO2ho+1TaCwSBNTU24XC5zfwxDh+ExpPF0gqHLaKE8Ih3L\n0KMzFHxHHpIjj6L3fgpn3dvpuffR1L/qsTPslbFG3TaHjG6TQFVxuGSCERUkkGwS6EZCesLglGAH\nAoGMTA6PRCI0NjbicDior6+f01NJOiIt/v+JJ55IORFnLlxxxRVcccUVbNu2DafTyY9//OOsPyUu\nSUGeyMjICM3NzTOaXzfTAx8KhWhpaSEWi7FlyxYzYguHw0mFPdsddqlIJtKhUIjGxkZGRkbweDz4\nfD5eeeUVU6gmtkdnG9Fl5/f7p/R5ngmiuWBi952IpIeHh5O2SBcVFWGz2Whvb2dkZGTSYqwR6AQ9\nhmHIGKpEpKME1TfDeli7A0m2U/Cuj5B/xkVIDiehoTA2hw0tmjwocK5wEOxP/JnDbcdQx3OxsoSU\nJ4Oi4cy3E/Yrp6Lk8UvbABx5EsePH580OVw0YaRzzkUzTnd3d8I6TKaZKNInT57khhtuQJZlvvvd\n72Z8e06nk5/97GcZf92pWNKCbC0v2759e1bqU4V4jI6OUl1dPemRZuKg08XU2DFVnlhMkba2R0/0\nsMhEVGXF2mVXUVGRsS67VEiSRH5+Pvn5+SlbpFtaWgiFQng8HlavXk0sFjMnlwBEm/8bQ9OJ9hWj\nDBQmz/WmwmYHSSb/zPdTcO6HkF2nrs+oV0G2S2jRyX8muyQ2fWoDLf/3BGo0fh3JdonSvSsY+ut4\nrawBslMiz25DNQxsdomoKvLHp6Llys3LOf3004HEyeEixSVJ0pSTw4PBII2NjRQUFMxbtYthGPzm\nN7/hm9/8Jl/5yle47LLLFnR9I5MsSUGORqO88cYbRKNRqqur5+QClWpqiLWdeqoWXdGCvZiE2FpP\nvHbt2qR54mRTpK0eFtaoamIkPZv3JbrshFXqQtVaixZpSZLo7++nsLCQXbt2oes6fr+fsbExTpw4\ngaIouFwuVrSHcRwtBW0GTw+SDDYb7m3nUHjB32ErnNzyq/gUJDn5cSxYm8+Wd2/lv7/SDeOCbM+z\nsbKuCO3ZeMXAui3FdLSNoRsQjapoqmGKsXVh74IPbjRfd6rJ4aI1XJQf5ufno6oqoVCILVu2JHTW\nZZOBgQGuv/568vPzeeaZZ7Ke051vlqQgA6xbt27OjQLJRidZh3KuXbt22nZqWZZRFAVFURJWixcK\nUU/s8XhmXE88ndFQW1vbjEV6sXTZCXRdp6Ojg8HBQaqrqxPe68RxUpFIhLHXn5yZGNud5G3aTtH7\nPo19RepJMhGvkvT7Do+dd/zLmYTHYsgWwXZ6bJAno0Z1HC4b67cV09Y0iqbqxBQdV6GdSOBU2kIU\nv13+91NPwEi2WOz1ejl69Chut5uSkhLa2trMa8pa2ZLJNQhd1/n1r3/Nvffey9e+9jUuueSSJRMV\nW1mSgjzRsGS2iEoLIcjCZ7mwsJD6+vppvYlFyY7H4zHNdqxClelH/qnIVj1xKpH2+XxmlUM4HMZu\ntye897y8PLq7u+nr61sUZXUQb2VvaWkxm02myp8Kc5xgNEA61eqG3YlUso6Ci/4PBRunH6ireBUM\nfXJxWv5aD5XvKaPxqb5T+2KT2PnRCob7IwDINollpR5iUY11mwvxN4+xfK2bsVZlUpS8rjR9i1pN\n0zh+/DhjY2Ns37590lQRaz6+o6MDRVHM7lKrZelMz3N/fz/XXXcdRUVF/PnPf85ajnoxsCQFOVMI\nQRZG9JIkpTWR2LpgJ8syW7duBU7l6Lxe76RH/uLi4qyMUlqIemKHwzHJV9lqft/V1YXP5yMvL49V\nq1ah6zrhcDirY6SmIhKJmN7TMx3ppAdGp/y55HAhFRTDOz5GoLiUfq+fyIsvjjvCnarusL53Xdfp\nbe9Di01YtPPYefute5EkifBoFH1csB0uG7s+Wslv7nhtfKMg2UHXDDZsL6G1eYzlazy0t3kZb/6b\ncVPI6OgoTU1NrF+/nvr6+knnKVU+PhKJ4PP5ZjU5XNd1fvWrX/Htb3+bO+64g4svvnjBb9rZJifI\nUyBJkvk4PZ0RPUy/YJcqLyuiSTFKyfphLS4unlVUkU6eeD5xOp14PB66u7vJy8vj7LPPxmazme+9\nv7/fnPVnjaTnYlo+Hbqu09XVRV9fnzksdsavEfIn/4EjD9npovB9/4B729uRZJk1lh9bbTut07Od\nTider5fwaBRjgrGQiI4BQsMKWmw8f+ySKdtdgn8wvgJY/bZVjI1Hy6s3xaNYu1umYJmT6FjEfL10\n2qZVVaWlpYVwOMyOHTtm5KhmtdhMd3K4w+HA5/OxYsUKbrjhBkpKSnj22WfnLUe90CxJQZ7rB1jT\nNDo6OhgaGqKsrIydO3fOqNV5JnniZNGk+LAKH4dIJILL5Zr0yJ8Kn89HS0uLWQu90PXE1uM5MS+b\nataf9cOal5eXUN2RCZEW6aeVK1fOujrA0DQMJZz4TbsTyWaj4Ly/IX/vhUj25LW44ulApNZUVaWp\nqQmfz8eqVasYHGnFsATINreNPTdtN78OjkTRojqSDDsvr0CSJIKjUWS7xOkXlXL4mXhdbuHKeLSv\nqQYFy/MYHhdkQ5pejkVzU0VFBXV1dRnzlZ5qcnhjYyO33XYbzc3NrF27lsrKSo4ePco555wz522/\nGViSggyzMxgSZVednZ2UlpayYcMGCgoKUl6I2aqcmPhhFVGF1+tNWOW3NjUIw522tjbC4TA1NTXz\n5juRCmtXW7Iuu2Qkm/WX7AYlHnutN6h0jr1o6Y3FYmzfvn1Kp73p0INesDlAVeIlbLJMwVkXk/+O\ny5Dz0oskrceooqKCrVvj+eVOBoBB8/fyVjhRKkIcOHAAm81Gd1M8VeJw29j5kbihTtgbw9AN6s5d\nw5//o428fDs6BjaHRCgUQ7adOj4G8NXvnZd0nxRFoampCcMw2L1794xGVc0Wp9NJNBrlO9/5Dlu2\nbOGJJ55AlmVeeeWVBV/onU+WrCDPlKGhIVpaWigpKeGMM87A4XDQ2dmZtH3a2iWUjQ67iVijCuuj\nn6iXHRwc5OjRoyiKQlFREatWrUJV1YQFyflGdNlZu9pmy8QbFGCOpReWndOJtHDv6+7upqqqKiO5\ndM0/ApoKdifuHedSeP7fYitIv4U3HA7T2NiI0+mcdIwio6cKkB0eO+d97W1s3BFvv4/FYhwOPBv/\noWzQp7cyeLCDsD+G02OjsFTGPxylYttyvIMR1mwoJOSPMTp8Kpq/6CPVfPjvtybsj6gg6ujoME2w\n5gNd13n00Ue57777uOuuu7jooovMc/POd75zXvZhsbBkBTndCFkMwXQ4HJMmVNvt9kmObwvVYTcR\nkZ8TtbHl5eWUl5ebIj0wMGBOULZadSbzFc4ksViM48ePmzMBszV4cuJjr3WckjBYEjPvnE4nY2Nj\n5s02U+9fzi/Cvet8Ct5xGfaS1J4TE7HmrsXcxIlYBdmzxk3le065/TkcDhSfDhLs/ugm3nb2XkL+\nCLraQvnuIjo6OvAOhdhwloP2xj7W1bo5dngM70iU/GIHV361ng9+MtHnW9wc8vLy5tz2PBN6enq4\n5pprKC0t5S9/+cuSmBw9F5asIE9HJBKhpaWFSCSSUjjsdjvhcDyqWEyNHXCqC9HtdrNr1y7zsXKi\nh8NEX2Fh/j5bF7hUiFFUJ06coKKiwhxmOV8kG6ekKAqNjY34fD5KSkoIh8M0NDTMKB8/FfZlq1l2\nydUz+hvhdbJixYopc9dRX7wO2eGxc85teycdy/Bo/Oe7PlYZ/31//Lo880NVbN9eg6Yc4R0Xb+P3\njxxj054CWt4Y5RNfKWPlejfVp0v09/eapZe9vb309PSkvDlkA13X+elPf8oDDzzA3XffzXvf+94l\nX0GRDm85QRa2ielMjhZlb4tldBKc8m9ON0+czFdYdF95vd4EF7jZ1kiLKStFRUXzGl2lwnpz2Lhx\nI2vWrElIXYhSLGs+3u12J7z/TC+EqqpKa2srwWAwrQaYmD/+ZDYxOhaEvTFcRQ4qzorn2gPD8Yh6\ny7lrUSIaSlij+ozVlD3bzzv+n2r+/pa3I0lSgrnU8ePHGRkZwWazsXLlygQ/i2w++XV3d7Nv3z4q\nKyt57rnnsvYU9WZkyQryRDGx2m5u2LAhLW9im83G0NAQTqfTrBNeuBFBp8YVzbWeOFn3ldW7Illb\ndHFx8aQ6YdFskmrI6UIgVuqLioqStmCnKsUSIj06OkpnZ2fCoql4mpiNSAsr1ra2thn5c8SCMWxO\n2aw7nogSiLHjIxVmt15gOErhqjzWVBeixXQu/EwtxavcXHX3mQl/J87pyMgIiqJQX19Pfn5+xucc\nJkPXdX784x/z8MMPc88993DBBRfkouIJSDOsRMi2r3XGEJGtWMVua2tj1apVbNy4ccqFrokLduJx\n3+v1JpitCIHOdred+ECLVu0NGzbMq+uayMn6fD6zRrqwsBBFUfB6vVRVVSVEoAuFGBPk8/moq6ub\nc4WJddFU/DfRrnM6T+VwOExTUxN2u52ampq0Bd0wDO7f8GOKNhTyif/9UJLgwuDm4l/y2f86n6pz\n4zeV3mNeXn2yh4uu25rsJU28Xi+NjY2sXr2aioqKlNeSdeCBEGuYfs5hKk6cOMG+ffuoqqrim9/8\n5oJXAC0AaX1Alqwga5rG0NCQ2WO/efPmaTuwJi7YJRMZTdPMD6jX6yUUCpltwUKkM9XMYM0TV1VV\nzUv50XT09/fT2tqKy+VClmVz4SwTOdnZYK0M2LBhA+vXr8/azUG0B4snCSHS1ukkwq5zukW7qYiF\nYjxU/Sjv//fz2fTeyYMNNFXnZ5/4Xz756DnItvQnwIgb1pYtW2ZVSmZdj/D5fJPmHApXOGvAo+s6\nP/zhD3nkkUe49957efe7373gN+8F4q0tyKKeOJ0861wX7KzNDF6vN6GRQ4j0TB53Z5onng/C4bA5\nYLWmpsasRrFWN3i9Xnw+X9Ia6Wzkla0G9tXV1QuSu7Z6OIiURzAYxO12s3btWpYtWzbjEVJaTKfh\n3sOc9aXdGREv4QdeWlpKWVlZRgVRiLS4Sfn9fnRd58knnyQajfL888+za9cuvv3tby+KlNYC8tYW\nZDHtdiqyVTlhbeQQH1RFUcjPzzdFOtkwTmueeOPGjWmNv8k2ostOuJ+lY+yS6nFfvH/x32xrpIXJ\nzejoKLW1tYtiUUikTISpviRJCZH0xDl/c3n/6RKLxWhpaSEajVJXVzejtue5oKoq99xzD08//TSr\nVq1iaGiIUCjE//7v/86pEedNzltbkHVdTzk1eiFK2EQkZRVpXdfND6imaeZY+w0bNizoWHuxv2Ix\nav369ZSXl88pdy1GKFlFeqY10tZ9Kisry3i0N1vEGsVUKZOJ79/v95sibX3/mRJpsU+VlZXmtOf5\noL29nX379nHaaadx1113makRTdMW/JpeYHKCnKypYz477KZD13Vzzh/ES9QmVjbM1vB9Lgh3u7y8\nPDZv3py1nLCYGC1uUlPVSIdCIbOBZyYLZNlEzJCb6aKdwDqMdbY3qYlEo1EaGxuRZZna2tp5O06a\npvHII4/wk5/8hO985zuce+6583rdPvnkk1x77bVomsaVV17JzTffPG/bTpO3tiAbhoGiKAlfT7dg\nN58oikJrayvhcJjq6mqzTlhV1YQPaDAYzIj7WzqIx26v17tgqQDr6r6obFEUBV3XKS0tZd26dfPq\nI50MwzDo6uqit7c34zPkxE3KGkmnI9KGYdDX10dnZ6dZXz9fHD9+nH379rFjxw7uuOOOefee0DSN\nmpoa/vu//5uysjL27t3LL37xC9P2dpGQE2RFURZdh91s8sSixEx8SMWioVgwLC4untOClvXDnO1K\nhZkwNDREa2sra9asoaioyBRqMd8vE6OjZorP56OxsZGSkhI2btw4L4/h1icJUYJmGIYp0k6nk+7u\nbjweD9XV1fPmX6JpGg8//DCPPvqoGRUvBC+88AK33347f/zjHwH4+te/DsA///M/L8j+pCCti3PJ\nNoYII/hly5aZIrzQUZWoJ16zZs2MLB+dTuck9zfRyDAyMkJHRweqqk5aNEzn9Rdblx3EUwFNTU1I\nkpRgGG+NRCdOJZnoI51pL2Xrot3WrVvntWJAlmWzpEwgZvx1dHQwOjqK0+k0LTwz2cyRitbWVvbt\n28eePXsWfLGup6eH8vJT3YxlZWUcOHBgwfZnLixZQW5sbOSGG27A6/VSV1fHnj172Lt374xNtjOB\nqCd2uVwJvhOzJVW3mYii+vr6zAkYIh9bXFxMfn6+uTBnTZksli4769PDdKmAbPhIp8K6aDffHh2p\nCIVCNDc3s3z5crZt24bNZjNFWgwknZiTF6I+l8VZTdN44IEH+OUvf8n3vve9t4xP8XyxZAX5jDPO\n4LnnniMWi/HGG2/w4osv8uijj3LTTTchyzK7du1i9+7d7N27l5qamqxEEkL0QqEQNTU1CX4SmUaS\nJNNYqLS0FEj0rOjs7DQ9K8QiWWVlJXV1dQs6SUQwMjJCS0sLq1evnvV0k1Q+0iIfbfWtEOmeqWqk\nRaQuy/KcLUQzha7rtLe3Mzw8zJYtWxKiZlmWJ7XEW3Pyoi1aXCszNZdqbm7mmmuu4YwzzuD555+f\n98AmFaWlpXR1dZlfd3d3m5+BNxtLNoecCtEO/dJLL/Hiiy9y8OBBc3JEfX09e/bs4YwzzphTO/Bi\nrCeGUw0CBQUFeDwe/H6/+ahvFaiZzJSbK2LqtKqq1NbWZv1DnqxGWlXVhEaWwsJC+vr6srJoNxfG\nxsZoampizZo1c2qhFwZDok7aaglgNZcSr6+qKvfffz+PPfYY3//+9zn77LMz+bbmjKqq1NTU8PTT\nT5uDEH7+859z2mmnLfSuWXlrL+rNBLGo1dDQYIr0yZMn2bx5M3v27KG+vp5du3ZNOT1EvI41T7wY\n6onh1BBPXdeTit7ETrtoNJp2FDlbhNlTb2+vaRi/UFhrhIeGhhgaGsJms1FSUmIeg2z7SE+FyF8H\nAgG2bNmSlXyt1QVOiPRvfvMburq6aG1t5cwzz+T73//+okhtJeOJJ57gC1/4ApqmccUVV3DLLbcs\n9C5NJCfIc0HTNJqamjhw4AAHDhzg8OHDxGIxTj/9dFOkt27dagrV0NAQnZ2duFyurNbuzgRN0+js\n7OTkyZMzivSsUaQQadHEkAmBGhsbo7m5eV4rFabDumhXV1eHx+NJu0Y6mwwPD9PS0kJZWRmlpaXz\n9qSlqirf+ta3ePrpp9mzZw/Dw8McPXqUn//859TW1s7LPiwxcoKcaUKhEIcPH6ahoYGGhgaOHj1q\nruQXFxfzjW98g82bNy94TjYbDnFTNXFYne+m2o7IqUciEWpraxfNrDQxzLO8vHxK0bPmYyc+6mfa\n/S8Wi5mz/+rq6uY1jXTs2DH27dvHO9/5Tv7lX/5lXre9hMkJcrb51a9+xde+9jU++MEP4nA4OHjw\noOm3vHfvXvbs2cOePXvM0rv5IBgM0tTUhNPppLq6OquRuvUx1+v1JtQHC4ES6ZGenh66urrYtGnT\nosmpWxftampqZnWsrD7SmaiRtg49nWiun21UVeW73/0uv/vd77j//vvZu3fvvGw3GY899hi33347\nx44do6Ghgfr6+gXblwyRE+Rs09XVxapVqxIiCF3XOX78uJnqOHToEMFgkK1bt1JfX099fT2nn356\nxoVSTEIZGxujpqZmwWaTWeuDhUgLY6UNGzawfPnyBU/nZLPTDlL7SE9XIz3XVuy5cPToUfbt28f5\n55/PbbfdtuDn6NixY8iyzGc/+1nuueeenCCnICfIs0BRFF577TVTpI8cOYLT6WTXrl2mSM821WHt\nspvukXs+icVi5kLUxo0bTR9pr9ebYM8pIun56i4TE0WWLVvGpk2b5i1/LSxaRcpHTMkWTTyhUIi+\nvj6qq6tZuXLlvOwTxM/Td77zHf7rv/6L+++/f9EJ37ve9a6cIE9BTpAzgGEY+Hw+Dh48yIEDB2ho\naKCtrY1169aZC4b19fXTjmny+Xw0NTVRWFhIVVXVouiysxrGV1RUsG7duknvweohLNqBNU2joKAg\nYdEwk7l4YdDu9XoXRSOMqJEeHByko6MDiI9Xst6oCgsLsxolv/7661xzzTVceOGF3HLLLQseFScj\nJ8hTkxPkLGEYBt3d3bz44ovmouHIyAg1NTWmQO/cuROPx0N/fz8DAwOmqcpiMLCHU4bx+fn5M75B\nWKdRZHpcVrqLdvOJqFUfGBigtraWZcuWpVUjnYmniVgsxre+9S2efPJJHnjgAXbv3p2hdzUzLrjg\nAvr7+yd9/4477uCSSy4BcoI8HTlBnkdUVeXYsWNmbfTLL7/M0NAQmqbx2c9+lgsvvJC6urp5e9yf\naj+PHz9uusRlqiNxruOyMrFolw38fj/Hjh1jxYoVbNy4cdphu1YfbevTxGwsOo8cOcI111zDRRdd\nxJe//OVF0X04FTlBnpqcIC8Qqqpy3nnn8ba3vY3zzjuP119/nYaGBpqamli+fLmZ6ti7d++8ubVZ\nKwLmK/qcalyW1fmuu7ubnp4eNm/ePK852anQNI329nZGR0fnlDaxWnSKpwnh/iZuVBNrpBVF4Z57\n7uFPf/oTDz74IDt37szU28oqOUGempwgLyBer3eSR7EQRbFgePDgQfr6+ti4caNpqLRr1y6Kiooy\nKpaivC4vL4/q6uoFi7QmjssaGRkhEAjgcrlYv369OdNuoZ8iRkdHaWpqYt26dWzYsCHjN65UNdI/\n//nPWbZsGU888QSXX375myIqBnj88cfZt28fg4ODLFu2jJ07d5r2mm9ScoL8VkXXdVpaWsx89Msv\nv0wkEmHbtm2mSJ922mmz+mCKGXtDQ0Nm7nMxYF20q62tRZblSZM4rM5389FlB/EnG2EwtWXLlnk1\n5AmFQtxyyy0cPnyYVatW0dvby7p163jiiSfmbR9ymOQEOccpotEor7zyipmPfv311/F4POzevdtc\nNKysrJxSpKwz9srKyha8I1EgFu2mmrMnrCmtkzhkWc7quCyxXwth+v/KK69w7bXXcumll/LFL37R\nXGANBoOLpkPyLUZOkHOkxjAMRkdHOXjwoCnSHR0dlJWVmQK9Z88eSkpKaGlpwev14nK5FtXiWDQa\npampCYDa2toZ71e2xmUpikJTUxO6rlNXVzevxysajfKNb3yD5557jgcffJDt27fP27YnctNNN/H7\n3/8ep9NJVVUVP/zhDxfNE9UCkBPkHDND13U6OzvNfPSBAwfo7OzEbrfz6U9/mne9612cfvrpC+6D\nK0oEs7FoN5dxWdYa7KqqKlavXp2x/UqHl19+mS984Qt8+MMf5sYbb1zwuvSnnnqK888/H7vdzpe+\n9CUAvvGNbyzoPi0gOUHOMXs0TeOd73wnF110ERdccAEvv/wyDQ0NvPbaa9hstgSD/+ogn27dAAAI\nwklEQVTq6nnreJvvTjsxLssq0snGZcViMY4dO4bT6aSmpmZexTASifD1r3+dF154gYceemix+QAD\n8UW6X//61zz66KMLvSsLRU6Qc8yNZPlGwzDw+/0JBv8tLS2sWrUqofQu06Y4mqaZXh11dXUL2gxj\nHZfl9XoZHh5GURRKSkpYtWrVpHFZ2eTQoUNcd911fOxjH+P6669f8GqSVFx88cV87GMf4xOf+MRC\n78pCkRPkbHHvvfdy4403Mjg4uGhqXBcSwzDo7e1NMPgfHBykurradLzbvXv3rDvtxPTp0tLSlIt2\nC0EwGOTYsWMUFRVRWVlJOBw2I+lAIJDVydiRSIQ777yTAwcO8PDDD7Nly5aMvO5MSafb7o477uDQ\noUP89re/XTTnbgHICXI26Orq4sorr6SxsZGXXnopJ8gp0DSNxsZG06vj5ZdfRtO0SQb/U0V0c120\nyxYi137y5Enq6uom1YYLYrGYOf3c6vo213FZDQ0N3HDDDfzN3/wNX/jCFxZtVAzwox/9iIceeoin\nn356QSdTLwJygpwNLr/8cm699VYuueQSDh06lBPkGRAKhcxcdENDgxldWlMdpaWlGIbBSy+9hK7r\nCz7eaSI+n4/GxkZWrlw5bZlgMuYyLiscDvOv//qvvPzyyzz00EPU1dVl4i1ljSeffJLrr7+eZ599\ndlGdwwUiJ8iZZv/+/fzP//wP3/3ud6msrMwJ8hwxDIOhoSEaGhrMSLq1tRVFUTjzzDP55Cc/SX19\nPcXFxQv+qGvNYWfSLU4YClkXDa3jssLhMGVlZRw5coQbb7yRT3ziE1x77bWLYuzVdGzevJloNGr6\nTZ911lk8+OCDC7xXC0ZOkGfDVDmxO++8k6eeeori4uKcIGeBn/3sZzz44IPcdNNN+P1+GhoaOHTo\nEKFQKMHgf/v27fOavhDTutevX095eXnWbw7WcVmPPPIIv/nNbxgeHuZ973sf73nPe7j00ksXzSTs\nHGmTE+RMcuTIEd797nebebDu7m7Wr19PQ0MDa9euXeC9Wxp4vV4KCgomRX+KovDqq6+atdGvv/46\neXl5CQb/VVVVGa9qiMVitLS0EIlE5r3tGeCvf/0rN910E5/61Ke48soree211zh48CCXXXYZGzZs\nmNd9yTFncoKcTbIdId96663s378fWZZZvXo1P/rRj1i/fn1WtvVmwzAMvF5vgsH/8ePHWb9+vVkb\nXV9fz8qVK2cdzZ48eZK2tjYqKytZu3btvKZMgsEgX/3qV3n99dd5+OGHqa6unrdtTyR3HWaMnCBn\nk2wLss/nM32Fv/e973H06NG3cv5tWgzD4MSJE6ZAHzx4kNHR0UkG/263e0pxVRSFxsZGAOrq6ubV\nGc0wDJ5//nm+9KUvccUVV/BP//RPC54rzl2HGSMtQV689TKLHDF2J1tYTd6DweCCL2otdiRJoqKi\ngoqKCj760Y8Cca+KN954gwMHDvAf//Ef3HzzzUiSxI4dO0yRrq2txWazmcNpBwcH2bx587xXBQSD\nQW6//XYaGxv59a9/TVVV1bxuPxW563B+yUXIi5hbbrmFn/zkJxQXF/PMM8/kSofmiOiwO3TokBlF\nNzU14fF48Pv9nHPOOVx//fXz2nxiGAbPPfccN998M1dddRVXX331onHRE+Suw4yQS1ksdtLpcgL4\n+te/TiQS4Stf+cp87t5bgp/97GfcfffdfPzjHycQCHDw4EH6+/vZtGlTgsF/YWFhxkU6EAhw2223\n0drayg9+8AM2btyY0ddPl9x1OC/kBHmpcOLECd7//vfz+uuvL/SuLDmam5spLy9PqKDQdZ3m5uYE\ng39FUSYZ/M/WQMgwDP7yl79w8803c/XVV/OZz3xm0UXFychdh3Mil0N+M9PS0mKuru/fvz/rXVlv\nVe/ampqaSd+TZZm6ujrq6ur49Kc/DcS9I4TB/3333ccbb7xBfn5+gsF/RUXFtMLq9/u59dZb6ejo\nYP/+/VRWVmbhXWWO+b4O3+rkIuRFyoc//GFzYnJFRQUPPvggpaWlWdtezrt2ZhiGwcjISILBf2dn\nJ+Xl5QkG/8uXL0eSJAzD4M9//jNf/vKX+dznPseVV175poiK5/s6XMLkUhY5ZkfOu3Z26LpOR0eH\nmeo4dOgQfr+fmpoaTp48idvt5uGHH841dbw1yQlyjtmR867NHLFYjNdee43f//733HbbbW+KqDhH\nVsgJco5Ect61b11yHt4LTm5RL0cif/rTn6b8+Y9+9CP+8z//k6effjonxkuIrq4unnrqqVyq5E1A\n7vkpBxD3rr377rv53e9+Ny9G4o899hinnXYasixz6NChrG/vrcx1113H3XffnbvJvgnICXIOAD7/\n+c/j9/t5z3vew86dO/nHf/zHrG5v27Zt/Pa3v+Xcc8/N6nbe6uzfv5/S0lJ27Nix0LuSIw1yKYsc\nALS2ts7r9hZqBtxSJB0P7xxvDnKCnCPHm5xUawNHjhyhvb3djI67u7vZvXt3zsN7EZMT5BxZI12P\nhBzZYfv27Zw8edL8OjflZvGTE+QcWWO6qo4cOXIkklvUy7HkefLJJ6mtrWXz5s3cddddC707C0ZH\nR0cuOl7k5AQ5x4Lw+OOPU1ZWxgsvvMAHPvAB3vve92ZlO5qm8bnPfY4//OEPHD16lF/84hccPXo0\nK9vKkWOu5FIWORaEyy67jMsuuyzr22loaGDz5s1s2rQJgI9//OPs37+frVu3Zn3bOXLMlFyEnGNJ\n09PTQ3l5ufl1WVkZPT09C7hHOXKkZqZeFjlyvKmQJOly4H2GYVw5/vUngTMNw/j8wu5ZjhyTyUXI\nOZY6PUC55euy8e/lyLHoyAlyjqXOQaBakqSNkiQ5gY8Dv1vgfcqRIym5Rb0cSxrDMFRJkj4P/BGw\nAf9uGMYbC7xbOXIkJZdDzpEjR45FQi5lkSNHjhyLhJwg58iRI8ciISfIOXLkyLFIyAlyjhw5ciwS\ncoKcI0eOHIuEnCDnyJEjxyLh/wfPXEdOxbHV1gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa808b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "fig = figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.plot_surface(xl,yl,zl, facecolors=cm.plasma(v));\n",
    "show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.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",
       "        this.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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\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",
       "    {\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.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",
       "            /* 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",
       "            evt.data.type = \"image/png\";\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",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             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",
       "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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";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.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",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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 = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // 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",
       "\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('matplotlib', mpl.mpl_figure_comm);\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": [
    "figure()\n",
    "plot(ls, lateff, '--')\n",
    "plot(ls, lateff2, ':')\n",
    "plot(ls, lateff3)\n",
    "plot(ls, lateff4)\n",
    "plot(ls, lateff7, ':')\n",
    "plot(ls, lateff71, '--')\n",
    "plot(ls, lateff8)\n",
    "plot(ls, lateff9)\n",
    "plot(ls, lateff10)\n",
    "plot(ls, lateff11)\n",
    "plot(ls, lateff5)\n",
    "plot(ls, lateff6);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:aerohybrid]",
   "language": "python",
   "name": "conda-env-aerohybrid-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}