Switched to 538 plot style.

I like this one the best.

01_gh_filter/g-h_filter.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:9a9b36cd7ddaddea122ea8a28f164ea9dd83caabcf16ae22f4a6e58f7a9d8c82"
+  "signature": "sha256:9b4d23397adb86da71441f61890f0e812c9ed1da66095c62d80570114907ac90"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -261,7 +261,7 @@
        "output_type": "pyout",
        "prompt_number": 1,
        "text": [
-        "<IPython.core.display.HTML at 0x7f8a3abce6d8>"
+        "<IPython.core.display.HTML at 0x7fbe7f3b06d8>"
        ]
       }
      ],
@@ -354,9 +354,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtwAAAGGCAYAAABIVFZlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAGkCAYAAAD9t4CTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a2273e3c8>"
+        "<matplotlib.figure.Figure at 0x7fbe62ed9390>"
        ]
       }
      ],
@@ -390,9 +390,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtwAAAGGCAYAAABIVFZlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl4VNX9x/H3uVlYQgKGLYTIJoIhKPsOYhClyKKgBC1I\nXYpKrQrSWpUqYosCSkGLuLb+RFBBRBYXCiIuGCxFQCGAArJHQAiYkJD1nt8fg6kU0ACZuTPJ5/U8\nPM/MvXfu/UwOSb45c+45xlprERERERERv3C8DiAiIiIiUpap4BYRERER8SMV3CIiIiIifqSCW0RE\nRETEj1Rwi4iIiIj4kQpuERERERE/Cg/ERaZPn87atWuJiYlh8uTJAEydOpX09HQAsrOziYqKYtKk\nScWvOXjwIKNGjSIlJYV+/foFIqaIiIiISKkLSA93cnIyDz744AnbRo4cyaRJk5g0aRIdOnSgQ4cO\nJ+x/5ZVXaN269RldJy0t7ZyzijfUdqFN7Re61HahTe0X2tR+oetM2y4gBXdiYiJRUVGn3GetZeXK\nlXTp0qV426pVq6hduzYJCQlndB39xw1darvQpvYLXWq70Kb2C21qv9AVlAX3z9m0aRPVqlUjLi4O\ngNzcXBYuXMigQYM8TiYiIiIicu48L7g/++yzE3q358yZQ58+fahQoQJadV5EREREQp2xAapqDxw4\nwMSJE4tvmgQoKirijjvuYOLEicTGxgIwduxYDh48CEBOTg7GGAYPHkyvXr1OOmdaWtoJXfopKSl+\nfhciIiIiIr5O4h8lJSWRlJR02mMDMkvJ6axfv56EhITiYhtg3LhxxY/ffPNNKlWqdMpiG0795n6c\n+URCS3R0NFlZWV7HkLOk9gtdarvQpvYLbWq/0BUfH39GHb0BKbinTp3Kpk2byMrKYsSIEaSkpJCc\nnExqauoJw0lERERERMqagA0pCRT1cIcm/ZUf2tR+oUttF9rUfqFN7Re64uPjz+h4z2+aFBEREREp\ny1Rwi4iIiIj4kac3TQZKdHS01xHkF4SFhRW3kz5eExERkbKkXBTcoCIuVOiPIxERESlrNKRERERE\nRMSPVHCLiIiIiPiRCm4RERERET9SwR3i7r//fqZOnVqiY0eOHMmkSZP8nEhEREREfqrc3DRZVk2Y\nMKHExxpjMMacdn9CQgKfffYZ9evXL41oIiIiIoJ6uOV/lLGFR0VEREQ8p4LbQ7Nnz+amm24qft6l\nSxduv/324udt27Zl48aNbN26leuvv56kpCQuvfRSFi1aVHzM/w4TmT59Oq1bt6ZNmza89tprJCQk\nsHPnzuL9R44cYdiwYTRt2pS+ffsW7xs4cCAAV1xxBU2aNGHRokVkZGQwbNgwmjVrRlJSEgMHDlRB\nLiIiInKGVHB7qFOnTqxatQqAffv2UVhYyJo1awDYuXMnx44do2HDhlx//fUMHDiQ9evXM336dB58\n8EG2bNkCnDhMZPny5bz44ovMnj2bFStWsHLlyhOuZ61lwYIFjB49mo0bN9KwYUMmTpwIwLx58wD4\n4IMP+Oabb+jXrx/PP/888fHxrF+/nq+++ooHHnjgZ4ekiIiIiMjJyv0Y7qLh/UvtXGEvLjyj4+vV\nq0dUVBQbNmxg27ZtdO/evbhH+4svvqB9+/YsXbqUevXqkZKSAkDz5s3p3bs377zzDqNGjTrhfIsW\nLWLw4MFceOGFAIwePZq33367eL8xhquuuooWLVoAMGDAAMaNG3fafBERERw4cIDdu3fToEED2rVr\nd0bvT0RERERUcHuuY8eOpKamsmPHDjp16kTVqlX5/PPP+eKLL+jYsSN79+5l7dq1NGvWrPg1hYWF\nXHfddSed68CBA7Rs2bL4eZ06dU46pkaNGsWPK1asSHZ29mmzjRgxgsmTJ/PrX/8agCFDhnDnnXee\n1fsUERERKa/KfcF9pr3Spa1Tp04sWbKEPXv2cPfddxMTE8O8efNYs2YNt9xyC99++y0dO3bk9ddf\n/8Vz1apVi/T09OLnP318NqKionj44Yd5+OGH+frrr0lJSaFFixZ07dr1nM4rIiIiUp5oDLfHfuzh\nzs3NJS4ujvbt2/PRRx9x5MgRmjdvzuWXX863337LW2+9RUFBAQUFBaxbt46tW7cCvnHZP97I2K9f\nP+bMmcPWrVs5duzYSfNz/9INjzVr1jzhBssPPviA7du3Y62lSpUqhIWFERYWVspfAREREZGyTQW3\nxxo1akSVKlXo0KEDANHR0dSvX5+2bdtijKFKlSq89tprLFiwgDZt2tCqVSsef/xx8vPzgRNvmkxO\nTuaWW25h0KBBdO3alTZt2gAQGRl50rE/+unze++9l5EjR9KsWTMWLVrE9u3bueGGG2jSpAlXX301\nv/nNb+jUqZPfvyYiIiIiZYmxZWyet1MNo4iOjiYrK8uDNN7asmULl19+OTt27MBxQuNvq/LaVqFO\n7Ra61HahTe0X2tR+oSs+Pv6Mjg+NKkxK7P333ycvL48jR44wfvx4rrzyypAptkVERETKIlViZcys\nWbNo2bIlXbp0ISIigscff9zrSCIiIiLlWrmfpaSsmTlzptcRREREROQn1MMtIiIiIuJHKrhFRERE\nRPxIBbeIiIiIlKoyNgneOVPBLSIiIiKlwhYV4X72Ae5Dv8Me+t7rOEFDN02KiIiIyDmx1sKaVNz5\ns2DfHt+2T/6FGTDU42TBQT3cHurQoQOffvqppxkmT57MXXfdVarn3Lt3L02aNNHHSSIiImWctRa7\nYQ3u+NG4z030Fds14zC33ou5+gav4wUN9XB76FRLrftTamoqd999N6tXrz4hQ2mrW7cu33zzTamf\nV0RERIKH3boR9+1X4Zs034aqsZi+gzFde2LCI7wNF2RUcJdz6oUWERGRM2F3b/cV2uuPd+BFRWN6\nX4u5rA+mQgVvwwUpDSnx2IYNG+jZsyeJiYmMGDGCvLw8evTowdKlS4uPKSgooHnz5qSlpbF7924S\nEhKYNWsWbdq0oXXr1jz33HPFx+bl5fHwww/Tpk0b2rRpw9ixY8nPzycnJ4cbb7yR/fv306RJE5o2\nbcr+/fsxxlBQUMA999xD06ZN6dGjB1999VXx+fbt28fw4cO55JJL6NSpE//85z+L961du5bevXtz\n0UUX0bJlS8aNGwdQnNF1XQBmz55N586dadq0KZ06deLtt9/295dVRERESpndn477whO4j97jK7Yr\nVMT0HYzz2As4vQaq2P4ZKrg9ZK3lnXfe4bXXXmPlypVs2rSJOXPmMGjQIObNm1d83IcffkhcXBxJ\nSUnF21auXMmKFSt47bXXmD59evFY8Keffpp169axdOlSli5dyrp163jqqaeoXLkyM2fOpHbt2nzz\nzTd8/fXX1K5dG2stS5cu5ZprrmHz5s1cccUVjBkzBgDXdbnppptISkpizZo1zJ49m5deeomPP/4Y\ngIcffpjhw4ezefNmVq5cSb9+/U56jzk5OYwdO5aZM2fy9ddfs3DhwhPeh4iIiAQ3m/E97oxpuA//\nDvufTyE8AtPzal+hffUQTOUoryMGvXI/pCS+bt1SO1f63r1ndLwxhltvvZVatWoBcMUVV5CWlsao\nUaOYMmUK2dnZREVFMXfuXK677roTXjtq1CgqVarERRddxODBg1mwYAHdunXj7bffZvz48cTGxgJw\n77338qc//Yk//vGPpx0+0r59e5KTkwG49tpreemllwBYt24dGRkZjBw5EoB69epxww03sGDBArp3\n705kZCTbt28nIyOD2NhYWrdufcrzO47D5s2bqVOnDjVr1qRmzZpn9HUSERGRwLNZP2Dfm4v96D0o\nLADHwXS70jdOO1a/y8+Eerg99tPis2LFiuTk5FC7dm3atWvHO++8ww8//MBHH33EgAEDTnhdfHx8\n8eO6deuyf/9+APbv309CQsIp951OjRo1ih9XqlSJvLw8XNdlz5497N+/n2bNmhX/mzZtGgcPHgTg\nySef5Ntvv6V79+706dOHDz744KRzV65cmWeffZZXX32VNm3aMGzYMLZu3XoGXyEREREJJHssB3fB\na7gP3Ib9YAEUFmDadcMZNw1n2O9VbJ+FgPVwT58+nbVr1xITE8PkyZMBmDp1Kunp6QDFvbmTJk3i\nq6++4rXXXqOwsJDw8HCGDh1K8+bN/ZLrTHul/e3HXuhBgwbx+uuvU1hYSNu2baldu/YJx+3du5fG\njRsXP46LiwMgLi6O3bt3c+GFFxbv+/G1p5qR5OdmKYmPj+f8889nxYoVp9zfsGFDnnnmGQDeffdd\nbr/9djZs2HDScd27d6d79+7k5eUxceJE7rvvvhOGzIiIiIj3bH4edvl72PfnQnaWb+PFbXGuGYKp\nd4G34UJcwAru5ORkevfuzbRp04q3/ThUAWDGjBlERfnGAMXExHD//fdTrVo1du/ezfjx40+4MbA8\n6NWrF2PGjOHgwYP87ne/O2n/U089xaRJk9i1axdz5szh73//OwBXX301Tz31FC1btgRgypQpXHvt\ntYCvN/3w4cNkZWURHR0N/PwsJa1ataJKlSpMnz6dm2++mcjISLZs2UJeXh4tWrTgrbfe4rLLLqN6\n9erF53OcEz80OXjwIF988QXdunWjYsWKVK5c+aRjRERExDu2sBD72QfYd96AIxm+jRc2wxkwDHNh\nM2/DlREBK7gTExM5cODAKfdZa1m5ciVjx44FoEGDBsX7EhISyM/PL+7tLst+Oi93pUqV6N27NwsX\nLuSqq6466dhOnTrRtWtXXNdlxIgRXHrppQDcc889HD16lJ49ewLQt29f7rnnHgAaN27MNddcQ6dO\nnbDW8uGHH55yLvAfn4eFhfHKK6/w6KOP0rlzZ/Lz87ngggu47777APjoo4949NFHOXbsGOLine truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAGkCAYAAAD9t4CTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22495f28>"
+        "<matplotlib.figure.Figure at 0x7fbe62c2b240>"
        ]
       }
      ],
@@ -426,9 +426,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtwAAAGGCAYAAABIVFZlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAGkCAYAAAD9t4CTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a223fbc18>"
+        "<matplotlib.figure.Figure at 0x7fbe62bc2c88>"
        ]
       }
      ],
@@ -465,9 +465,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAucAAAGGCAYAAADYRy+qAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3X90VPWd//HXhCQGkpkMIQEMfAOGX4Z8tcQiUMuvxGPO\nQcIpthAX6VJYMRqxbrOVLrWCuLK4KCk5iklgxVrUo6S7Su1+V466KUYLFqlhLUkqvwwKQZAkEBLN\n7/v9gzo1JoFJyMznZub5OMdzJjN3Zj7zZsw8udyZcViWZQkAAACAcSGmFwAAAADgIuIcAAAAsAni\nHAAAALAJ4hwAAACwCeIcAAAAsAniHAAAALCJUH/dUX5+vkpLS+VyuZSbmytJKioqUnFxsVwulyRp\n0aJFSklJUWtrq7Zu3apjx47J4XBo2bJlmjhxYqfbfP755/XBBx8oNDRUw4YN07333qtBgwb56yEB\nAAAAfcpve85TU1P14IMPdjjP4XAoIyNDjz/+uB5//HGlpKRIkt566y05HA5t3LhRq1ev1vbt29XV\nx7F/61vfUm5urp544gldffXVevXVVy+7jrKysr55QOgV5m8W8zeH2ZvF/M1h9mYxf7N6M3+/xXlS\nUpIiIyM7nd9VdJ88eVLJycmSJJfLpcjISB09erTTdtdff71CQi4+hHHjxqm6uvqy6+BJahbzN4v5\nm8PszWL+5jB7s5i/WbaO8+7s2rVLK1euVEFBgRoaGiRJo0aN0v79+9Xe3q4zZ87o2LFjqqmpueTt\nFBcX64YbbvDHkgEAAACf8Nsx511JT0/XggULJEk7duzQ9u3blZ2drbS0NJ08eVKrVq1SbGysxo8f\n79lD3pVXXnlFoaGhmj59ur+WDgAAAPQ5h9XVcSU+cubMGW3YsMHzhlBvL1u9erXuuecejRgxotNl\nu3fv1v/8z/9o9erVCg8P73R5WVlZh39SyMzMvMJHAQAAAHinqKjIczo5Odlz6HZ3jO45r62t1eDB\ngyVJ+/btU0JCgiSpublZ7e3tioiI0IcffqgBAwZ0GeYHDhzQa6+9prVr13YZ5lLXQ6iqqurjRwJv\nOZ1OXbhwwfQyghbzN4fZm8X8zWH2ZjF/s+Lj43u8Y9hvcZ6Xl6eKigrV1dUpOztbCxcuVHl5uSor\nK+VwOBQXF6esrCxJ0rlz57R+/Xo5HA4NGTJE9913n+d2CgsLlZ6ersTERD377LNqbW3VunXrJEnj\nx4/X8uXL/fWQAAAAgD7l18Na7II95+bwN3izmL85zN4s5m8OszeL+ZsVHx/f4+sY/7QWAAAAABcR\n5wAAAIBNEOcAAACATRDnAAAAgE0Q5wAAAIBNEOcAAACATRDnAAAAgE0Q5wAAAIBNEOcAAACATRDn\nAAAAgE0Q5wAAAIBNEOcAAACATRDnAAAAgE0Q5wAAAIBNEOcAAACATRDnAAAAgE0Q5wAAAIBNEOcA\nAACATRDnAAAAgE0Q5wAAAIBNEOcAAACATRDnAAAAgE0Q5wAAAIBNEOcAAACATRDnAAAAgE0Q5wAA\nAIBNEOcAAACATRDnAAAAgE0Q5wAAAIBNEOcAAACATRDnAAAAgE0Q5wAAAIBNEOcAAACATRDnAAAA\ngE0Q5wAAAIBNEOcAAACATRDnAAAAgE0Q5wAAAIBNEOcAAACATYT6407y8/NVWloql8ul3NxcSVJR\nUZGKi4vlcrkkSYsWLVJKSopaW1u1detWHTt2TA6HQ8uWLdPEiRM73WZ9fb02bdqks2fPKi4uTjk5\nOYqMjPTHwwEAAAB8wi9xnpqaqjlz5mjz5s2e8xwOhzIyMpSRkdFh27feeksOh0MbN25UXV2d1q9f\nr8cee0wOh6PDdjt37tT111+v733ve9q5c6d27typxYsX++PhAAAAAD7hl8NakpKSutyrbVlWp/NO\nnjyp5ORkSZLL5VJkZKSOHj3aabv9+/dr1qxZkqTZs2fr/fff7+NVAwAA9F/hNTWyTp0yvQz0kNFj\nznft2qWVK1eqoKBADQ0NkqRRo0Zp//79am9v15kzZ3Ts2DHV1NR0uu758+fldrslSdHR0Tp//rxf\n1w4AAGBXkfv3K+aWWxQ1a5Yi9+83vRz0gF8Oa+lKenq6FixYIEnasWOHtm/fruzsbKWlpenkyZNa\ntWqVYmNjNX78eIWEXPrvEN885AUAACBYhdfUyHn33Qr57DNJkvPuu9Xy5ptqjokxvDJ4w1icR0dH\ne06npaVpw4YNkqSQkBD96Ec/8ly2evVqXX311V1e/9y5c3K73aqtre1we19XVlamsrIyz8+ZmZly\nOp199TDQQ+Hh4czfIOZvDrM3i/mbw+z9z6qv73ReeHi4ruLPwYiioiLP6eTkZM/h290xFue1tbUa\nPHiwJGnfvn1KSEiQJDU3N6u9vV0RERH68MMPNWDAAI0YMaLT9SdPnqzdu3dr/vz5evvtt3XjjTd2\neT9dDeHChQt9/GjgLafTyfwNYv7mMHuzmL85zN6AqChZW7bIeffdkqQLW7aoISpK4s/B75xOpzIz\nM3t0HYfV1bsy+1heXp4qKipUV1cnt9uthQsXqry8XJWVlXI4HIqLi1NWVpbcbrfOnDmj9evXy+Fw\naMiQIbrnnnsUGxsrSSosLFR6eroSExOv6KMUq6qqfPlwcQn8kjaL+ZvD7M1i/uYw+z7S3i53To4i\n3npLam+XLEuOpiaprU0t//f/6uz/+3/SNw7zDa+pUXh4uOqjogwtGvHx8T2+jl/i3G6Ic3P4JW0W\n8zeH2ZvF/M1h9n0j7MMPFTdnTreXf7Z3r9r/ehTC1zF/s3oT53xDKAAAgM21DRum1m5Cr93lUnsX\nhwCjfzJ2zDkAAAAuLaSmRpFbtijy2WcV8sUXnS63rrpKn//ud9KAAQZWB18gzgEAAGzmclH+lXO/\n/KXaxo7148rga8Q5AACATVwqyluSktT0ne8o6tlnJUkNP/yhvpw/38Qy4UPEOQAAgGGXi/ILOTlq\nnDNHsiy1/Z//I4WEqOFr3wuDwEGcAwAAGOJ1lH/t29IbsrL8vUz4EXEOAADgZ72JcgQH4hwAAMBP\niHJcDnEOAADgY0Q5vEWcAwAA+AhRjp4izgEAAPoYUY7eIs4BAAD6CFGOK0WcAwAAXCGiHH2FOAcA\nAOglohx9jTgHAADoIaIcvkKcAwAAeIkoh68R5wAAAJdBlMNfiHMAAIBuEOXwN+IcAADgG4hymEKc\nAwAA/BVRDtOIcwAAEPSIctgFcQ4AAIIWUQ67Ic4BAEDQIcphV8Q5AAAIGkQ57I44BwAAAY8oR39B\nnAMAgIBFlKO/Ic4BAEDAIcrRXxHnAAAgYBDl6O+IcwAA0O8R5QgUxDkAAOi3iHIEGuIcAAD0O0Q5\nAhVxDgAA+g2iHIGOOAcAALZHlCNYEOcAAMC2iHIEG+IcAADYDlGOYEWcAwAA2yDKEeyIcwAAYBxR\nDlxEnAMAAGOIcqAj4hwAAPgdUQ50zS9xnp+fr9LSUrlcLuXm5kqSioqKVFxcLJfLJUlatGiRUlJS\n1NzcrPz8fJ04cUJtbW2aNWuW5s+f3+k2jxw5om3btqmtrU0DBgzQnXfeqbFjx/rj4QAAgF4iyoFL\n80ucp6amas6cOdq8ebPnPIfDoYyMDGVkZHTYds+ePZKkjRs3qrm5WTk5OZo+fbpiY2M7bPfCCy/o\n9ttv16RJk1RaWqoXX3xRDz/8sO8fDAAA6DGiHPCOX+I8KSlJZ86c6XS+ZVmdznO73WpqalJ7e7sa\nGxsVGhqqgQMHdrndF3/9n7uhoUGDBw/u+4UDAIAr4qiuljM3lygHvGT0mPNdu3appKREiYmJWrJk\niSIjIzVp0iSVlJQoKytLTU1NWrp0qSIjIztdd/HixVqzZo2ef/55WZaldevWGXgEAACgK5495b/6\nlRwNDR0uI8qB7hmL8/T0dC1YsECStGPHDm3fvl3Z2dkqKSlRc3Oztm7dqvr6eq1Zs0bXXXedhg4d\n2uH6hYWFWrZsmaZMmaK9e/eqoKBAq1evNvFQAADAX3H4CnBljMV5dHS053RaWpo2bNggSTp06JCm\nTJmikJAQuVwuTZgwQUePHu0U50eOHPHE+LRp01RYWNjl/ZSVlamsrMzzc2ZmppxOZ18/HHgpPDyc\n+RvE/M1h9mYxf99zVFcr7KmnFL5lS6c95W3JyWpetUqt8+YpLCREYYbWGIx47ptXVFTkOZ2cnKzk\n5ORLbm8szmtraz3Hie/bt08JCQmSpPj4eB08eFAzZ85UY2OjDh8+rLlz53a6/vDhw1VeXq6JEyfq\n4MGDio+P7/J+uhrChQsX+vjRwFtOp5P5G8T8zWH2ZjF/3/lqT/mgbvaUtz74oGpnz764p/wb0Q7f\n47lvltPpVGZmZo+u47C6eldmH8vLy1NFRYXq6urkdru1cOFClZeXq7KyUg6HQ3FxccrKypLb7VZL\nS4sKCgp0/PhxWZal1NRUzZs3T9LFQ1nS09OVmJioo0ePatu2bWppaVF4eLiWL1+ua665xqv1VFVV\n+fLh4hL4JWEW8zeH2ZvF/Puet4evOKOjmb1BPPfN6m7n8aX4Jc7thjg3h18SZjF/c5i9Wcy/7/T0\nmHJmbxbzN6s3cc43hAIAgMvijZ6AfxDnAACgW0Q54F/EOQAA6IQoB8wgzgEAgAdRDphFnAMAAKIc\nsAniHACAIEaUA/ZCnAMAEISIcsCeiHMAAIIIUQ7YG3EOAEAQIMqB/oE4BwAggBHlQP9CnAMAEICI\ncqB/Is4BAAggRDnQvxHnAAAEAKIcCAzEOQAA/RhRDgQW4hwAgH6IKAcCE3EOAEA/QpQDgY04BwCg\nHyDKgeBAnAMAYGNEORBciHMAAGyIKAeCE3EOAICNEOVAcCPOAQCwAaIcgEScAwBgFFEO4OLine truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAAGkCAYAAAAL/gULAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a3abd36a0>"
+        "<matplotlib.figure.Figure at 0x7fbe7f3b5d68>"
        ]
       }
      ],
@@ -492,9 +492,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAt4AAAGGCAYAAABMoYZYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzoAAAGkCAYAAAD5QlCuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22322518>"
+        "<matplotlib.figure.Figure at 0x7fbe62abc7f0>"
        ]
       }
      ],
@@ -527,9 +527,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAt4AAAGGCAYAAABMoYZYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl4lOW9//HPLNkzIRD2pAECoSSxLVBZBKHEBUU5VhFi\nrQEqAi0VPeXQeqrYurEoEgGPBmlrKyggqCi1LRD5oUdkURE8NgE1LIoQMJAQErLMZJbfHzFDhmwT\nSOYJ4f26Li4zzzzLd74sfnLnfu7H5PF4PAIAAADQosxGFwAAAABcDgjeAAAAQAAQvAEAAIAAIHgD\nAAAAAUDwBgAAAAKA4A0AAAAEgDUQF8nMzNTevXsVFRWljIwM7/aNGzcqKytLZrNZAwYMUHp6uvLz\n8zVr1izFxsZKkvr27aupU6cGokwAAACgxQRkxDs1NVUPPfSQz7bs7Gzt3r1bTz/9tDIyMnTLLbd4\n3+vatasWLlyohQsXNil05+TkNFvNaBp6byz6byz6bxx6byz6byz6b5wL7X1AgndSUpIiIiJ8tmVl\nZem2226T1Vo16B4VFXXR1+EPoHHovbHov7Hov3HovbHov7Hov3EutPcBmWpSlxMnTmjfvn1as2aN\ngoKCNHHiRPXu3VuSlJ+frwceeEDh4eH62c9+pn79+hlVJgAAANAsDLu50uVyqbS0VPPmzVN6eroW\nL14sSerQoYOWLVumhQsXatKkSVq6dKnKy8uNKhMAAABoFoaNeMfExGjIkCGSpD59+shkMqmkpEQ2\nm02RkZGSpISEBHXt2lXHjx9XQkJCrXPk5OT4DPWnpaUFpnjUQu+NRf+NRf+NQ++NRf+NRf+Nk5aW\npnXr1nlfp6SkKCUlpdHjDAvegwYNUnZ2tpKTk5WXlyen0ymbzabi4mJFRkbKbDbr22+/1fHjx9Wl\nS5c6z1HXh8zLywtE+TiPzWZTSUmJ0WVctui/sei/cei9sei/sei/cbp3735B3/gEJHgvWbJE+/fv\nV0lJiWbMmKG0tDSlpqZq2bJlmj17tqxWq2bOnClJ2r9/v9atWyeLxSKTyaTp06fXujETAAAAuNSY\nPB6Px+gimhMj3sbgu25j0X9j0X/j0Htj0X9j0X/jdO/e/YKO48mVAAAAQAAQvAEAAIAAIHgDAAAA\nAUDwBgAAQKv0+edWxcd307ZtwU06bvPmUPXq1U2HD1taqLILQ/AGAABAi8nOtiojw6ajR5segh97\nLEqDBzs0YoSjScfdcEOF+vWr1Pz5UU2+ZksieAMAAKDF5OQEafHiyCYH7927g7RtW4imTz97Qde9\n555SbdwYqi+/NOyxNbUQvAEAAFoJl0sqLze6ipbR1AWsV6yIUEyMW9dea7+g6910U4XCwjx6+eXw\nCzq+JRC8AQBAq7B2bZji4rrpgw+CtWRJpIYM6azevbtq7NiO+vjjqjm+O3YE69ZbY5SY2FUDB3bR\nkiWRtc5jt0vPPhup1NRO6t27m5KTu+oXv+ig7Gzfkc/SUpOeesqmsWM76gc/6KKEhG4aPryzFiyw\n1Qq/FRVSRoZNI0Z0Vp8+XZWc3FXXXddJc+f6TmXIyLApLq6bjh2rPbo7ZEhnjR8fU+vzbtsWrMWL\nIzVsWGf17t1Nb78d1qTP0Vx9u5Brbt8erBdeiNCwYZ2VkNBNI0Z01muvhfn0Y/bsaEnShAkxiovr\npri4bpo1K7rO61dzOqvmaY8YYZflAqdph4d7NGSIQ//8Z1jjOwdI6xl7BwAAkLRgQZTcbmnq1FI5\nHCYtXx6hu+7qoEWLivTgg9GaOLFUt99err//PUyLFtkUH+/SuHFVSbmyUrrrrhjt2ROs8ePLNGVK\nqYqLzVq9Oly33tpR69cX6Ic/rJQkHT9u0auvhuvmm8s1bpxLFotHO3eGKDMzUtnZQVq1qtBb05w5\n7bR2bbgmTCjXlVc65HRKhw5ZtWOH/zf9mUxVv873xBPt5HJJ6elliox0q08fp1+fY/jw5utbU3tX\n7ckno2S3mzRpUqmCgqSVK8M1a1a0evZ0atCgSt10U7ny881atSpc999/VomJTklSjx7OBnv12WdB\nKiszqX//ygb3a8zAgQ69916IDhywqE8f10WdqzkQvAEAQKvidktvv31K1u9SSmJipaZM6aD77muv\nf/zjlH7wg6ow9rOflWnIkC566aUIb4D8298itGtXsFavLtTIkeemKEyeXKprrumkxx+P0uuvF0iq\nCn+7d3/rM6I6eXKZnn7apqVLI/Xpp0He4LdpU5iuucauxYuLLvhz1TfVwm6XNm8+qdDQc9v+9KfG\nP8fmzb43HF5M36Sm9a5aZaX0r3+d9F7z5pvLNWxY1bkHDSpSUpJTAwc6tGpVuEaOtGvoUP9ukszN\nrTphfQG9tNSk//zPaH3wQYj++7+LdffdZXrttTB9//tOn28OevRwfXe+oFYRvJlqAgAAWpVJk8q8\nQU6SBg+uCms//rHDGx4lKShI+tGPHD5Lxq1fH6bERKeuuMKhwkKz95fDYdKIEXZ9/HGw7PZzx1eH\nbqdTKioyqbDQrKuvrtrh00+DvOeNinLriy+s+uKL5h+znDSpzCd0N/Vz1DzPhfbtQq85ebLvNbt2\ndSshwamvvrq4PhUUVNUWHe2u8/3nn4/UoEEOLV5cpBMnLLr33mgVFZlrjci3b191/KlTrSPyMuIN\nAABalfh431HO6OiqoeLvfa/2iGW7dh6dPn0uVOXmWmW3m/TDH3at89wmk1RYaFa3blWB7KWXwvXK\nKxH68kur3OdlvKKic+d97LEzuv/+9rr22k7q0cOlYcPsuv76Cl1/vb3O6SNNkZBQe1TXn89RUGCS\nzXZu28X0zd9r1uxdXdesuq5beXkXt362yVT944G6mzt9+lnv54uNdem990I0bVpprf2qf8pwsb9H\nzYXgDQAAWpX6bqbz7yY7k5KSnHrkkTP17tGhQ1VwXL48Qk88EaVRo+yaOvWsunRxKyjIo+PHLZo1\nK9pnasjo0Xbt2vWttm4N1a5dwdq2LURr1oRryBCHXn21QEHfDY6fC4y1OZ11p7+wsLqOafxzxMSE\nyFFj5sbF9c2/a1b3rrFzN3UFk/quc/p03T2rDt3/+78hys216v77615ysPqbp5iYukfOA43gDQAA\n2oxevZwqKDBr+HBHo6Ocb7wRrvh4l155pdBn+7vvhtS5f3S0R+PGlXvnRc+fb1NmZqQ2bw7V2LEV\n3n2kqsAYG3vu2IoKKT/frISE5vscISG+wftiNaV3TXEh50pKqhpJP3zYKqnu5QTfeitMLlfVzaT1\nqZ7y8v3vX9xNms2ldUx4AQAAuEA1g9348WXKzzdr+fKIOvc9efJc9LFaq0JyzSkmTmfV/OGa3G7p\nzJna6TElpSrMnTlz7py9e1cFxm3bfMP7n/8c2aRR4KZ8jgt1fiBuqWtGRFR/M+L/8SkplbLZPPrk\nk7pXjVm7Nkzh4W7dfnvVN0Eej7Rgga3Wfnv2BKlzZ7cSEoy/sVJixBsAAFziagbaqVNLtW1biObO\njdL27SEaPtyuyEiPjh2z6IMPQhQa6tFrr1WtzHHzzRVasMCm9PQOuvHGCp09a9abb4YpONg3IZeU\nmDRwYFeNHl2hlJRKdezo0pEjVq1cGa7oaLeuv77Cu++IEXb17u3UokVROn3arLg4lz7+OFh79gSr\nQwe33+Hbn8+xadPFDXefX0tTeteUc/fv75DZXLU+eFGRWeHhbsXHuzRgQP2j0BaLNGZMhTZvDpXD\nIQXXyN//+leosrJCFRfn0vHjFtlsHr35ZpjS08t8zlFaatKHHwbr5z8vU2tB8AYAAK1GU6clnL82\nttUqrVxZqBUrIvTGG2HKyKgaBe3a1a3+/R2aMOFcCJsx46w8HmnNmnA9+mg7de7s0i23lCstrVyj\nRnXy7hce7tHUqWe1fXuItm0LVlmZWV26uHTjjRWaOfOsOnc+N2RuNkt/+1uh/vjHdvrrXyMUHCz9\n5Cd2vfHGKd16a8dan6++z+vf5whp9Dz+9q2pvWvsmjXfi411KyOjSJmZkXrooXaqrJTS0so1YEDD\nSzNOmlSqdevCtGVLqG66qeqbm5MnzTp40KoXXzytI0csmjKlg06fNmvOnGLdcEOFz/H//GeoKipM\ntQK5kUwez8VOf29d8vLyjC7hsmSz2VRSUmJ0GZct+m8s+m8cem8s+m+sy6H/6ekdVFZm0vr1/o20\n13TDDR0VH+/Sn/98utnr6t69+wUdxxxvAAAAtEp//GOxPvkkWO+/7/8TQiVp06ZQ5eYGac6c4haq\n7MIw1QQAAACtUt++Tn399fEmH3fjjRU6dKjpx7U0RrwBAACAACB4AwAAAAFA8AYAAAACgDneAAAA\nlwi73aJDh4KVl2eRxWJSly5hSkhwKCSkdTwgBg0jeAMAAFwCcnPDNHduhLZsCZJUvVC2R9dfX6k5\nc0qVmFhuZHnwA8EbAACglcvNDdNPf9rO5/H0VUx6551gffSRVRs2iPDdyjHHGwAAoBWz2y2aOzei\njtB9zpkzZs2fHyG73RLAytBUBG8AAIBW7NCh4O+mlzQsKytIhw837UEzCCyCNwAAQCuWl2fRuTnd\nDTHp2DFGvFszgjcAAAAQAARvAACAVqx7d5ckjx97ehQby7KCrRnBGwAAoBVLSHDouusqG91v9OhK\n9erlCEBFuFAEbwAAgFYsJMSlhx8uVbt27nr3iY5266GHSnmQTisXkOCdmZmpadOmafbs2T7bN27c\nqFmzZmn27Nl65ZVXfN47deqUJk6cqLfffjsQJQIAALRaiYnl2rDhjEaPdsh32olHN9zg0FtvnWEN\n70tAQB6gk5qaqjFjxui5557zbsvOztbu3bv19NNPy2q1qri42OeYFStWaODAgYEoDwAAoNLine truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzoAAAGkCAYAAAD5QlCuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22148f60>"
+        "<matplotlib.figure.Figure at 0x7fbe62bc2cc0>"
        ]
       }
      ],
@@ -595,9 +595,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtwAAAGGCAYAAABIVFZlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAGkCAYAAAD9t4CTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22161c18>"
+        "<matplotlib.figure.Figure at 0x7fbe629ed400>"
        ]
       }
      ],
@@ -624,9 +624,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtwAAAGGCAYAAABIVFZlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAGkCAYAAAD9t4CTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22215d30>"
+        "<matplotlib.figure.Figure at 0x7fbe629c31d0>"
        ]
       }
      ],
@@ -696,9 +696,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtwAAAGGCAYAAABIVFZlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAGkCAYAAAD9t4CTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a224a8400>"
+        "<matplotlib.figure.Figure at 0x7fbe62927f60>"
        ]
       }
      ],
@@ -761,9 +761,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAqgAAAH8CAYAAAAdT10gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAqgAAAH8CAYAAAAdT10gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a2222f358>"
+        "<matplotlib.figure.Figure at 0x7fbe62920f98>"
        ]
       }
      ],
@@ -874,9 +874,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAsoAAAF0CAYAAAA6vh/YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAyEAAAGNCAYAAAAGr35PAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a223f5c50>"
+        "<matplotlib.figure.Figure at 0x7fbe6288afd0>"
        ]
       }
      ],
@@ -953,9 +953,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAsQAAAF0CAYAAAAkdy9rAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGNCAYAAAB9i7yDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22102ef0>"
+        "<matplotlib.figure.Figure at 0x7fbe62b87080>"
        ]
       }
      ],
@@ -1009,9 +1009,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAs8AAAF0CAYAAADcl9ScAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAyYAAAGNCAYAAADkc2U2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a221c4d30>"
+        "<matplotlib.figure.Figure at 0x7fbe62aba438>"
        ]
       }
      ],
@@ -1072,9 +1072,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAAF0CAYAAAAHLH6+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzIAAAGNCAYAAADKNkSkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a2218e908>"
+        "<matplotlib.figure.Figure at 0x7fbe62b03320>"
        ]
       }
      ],
@@ -1146,9 +1146,9 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAssAAAF0CAYAAADVfHTmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAyIAAAGNCAYAAADtmMVMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a2239ecc0>"
+        "<matplotlib.figure.Figure at 0x7fbe62b62400>"
        ]
       }
      ],
@@ -1221,25 +1221,25 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAAF/CAYAAABt6459AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzIAAAGaCAYAAADU5XaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a221f1128>"
+        "<matplotlib.figure.Figure at 0x7fbe62858d68>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAAF/CAYAAABt6459AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzIAAAGaCAYAAADU5XaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl8XHW9//HXOWdmsjb70jTpmqYLdKHQspRCAQUUUET5\niegPBbmgoP648LAKF5UrXsVfBUR/1/aCiqCgV4UigqxXtgKlLUtpC5SuaZO02fdlksw55/fHmZkk\nzd7OJG15Px+PPszMnOU76fBwPv1+FqOxsdFFRERERETkKGKO9wJERERERERGS4GMiIiIiIgcdRTI\niIiIiIjIUUeBjIiIiIiIHHUUyIiIiIiIyFFHgYyIiIiIiBx1FMiIiIiIiMhRR4GMiIgclWzbZvXq\n1SxdupSCggKmT5/O5z//eTZs2DCq6zz88MNkZmYO+ud3v/tdnN6BiIgcDt94L0BERGS0XNfl6quv\n5vHHH2fWrFlce+211NfX89hjj3HBBRfw+9//ngsuuGBU11y2bBnLli3r9/yiRYtitWwREYkhBTIi\nInLUefTRR3n88cc59dRTefzxxwkEAgB89atf5ROf+AQ33HADZ555JqmpqSO+5rJly/jud78bryWL\niEiMKbVMRESiXNdl9erVnHLKKUycOJHjjjuOFStW0NTUxPz581mwYMF4LxGA3/72twDceuut0SAG\nvN2TSy65hNraWh5//PHxWp6IiIwB7ciIiEjUt7/9be6//34KCgr4yle+QiAQ4JlnnuHtt9/Gtm38\nfv94L5FgMMiGDRtISUlh6dKl/V4/99xz+fOf/8zatWv50pe+NOLr7tq1i3vvvZe2tjby8/M544wz\nmDJlSiyXLiIiMaRARkREAHj99de5//77KS4u5p///Cfp6ekA/OAHP+Diiy/mwIEDo/pi//DDD7Nv\n374RH5+RkcF111037HF79uzBcRymTp2KafZPLJgxYwbgBSaj8de//pW//vWv0cemafKFL3yBO++8\nk6SkpFFdS0RE4k+BjIiIAPCnP/0JgBtvvDEaxAD4/X5uu+02PvGJT4z6eq+99tqIj58yZcqIApnm\n5mYA0tLSBnw98nxTU9OI7jtt2jR+9rOfcc455zBp0iSam5tZt24dP/zhD/njH/9IW1sbDzzwwMje\nhIiIjBkFMiIiAsDmzZsBOO200/q9tnjxYizLGtX1nnzyyZisK95OP/10Tj/99OjjxMRELr74YhYv\nXsyyZct4/PHH2bx58xFTHyQiIh4V+4uICODtdBiGQW5ubr/XLMsiKytrHFbVX2THJbIzc7DI8713\nlQ5FYWEh5557LgDr168/rGuJiEjsaUdGREQAmDBhAgDV1dXRnyNs26a+vp7CwsIRXy9eNTLTp0/H\nNE327t2Lbdv9dooitTHFxcUjvvdgsrOzAWhvbz/sa4mISGwpkBEREQAWLlzIli1bWLduXb8gYOPG\njdi2ParrxatGJjExkVNOOYV169bx+uuvc8YZZ/R5/fnnnwfgzDPPHNV6B/LWW28BXh2NiIgcWZRa\nJiIiAHzhC18A4Oc//zmNjY3R57u6urj99ttHfb0nn3yShoaGEf959913R3ztq6++GoAf//jHdHZ2\nRp9/++23eeyxx8jNzeXTn/50n3PKysrYvn17v5S0d955p9/1Hcfh7rvvZuPGjeTk5PCxj31sNG9d\nRETGgNHY2OiO9yJEROTIcOONN/LAAw9QUFDARRddREJCAk8//TQZGRns37+fhISEAb/4j4crr7yS\nxx9/nFmzZnH++edTX1/PY489RldXF7///e/55Cc/2ef4Cy+8kNdff51f/epXfPGLX4w+n5mZydy5\nc5k3bx4FBQU0Nzezfv16PvjgA1JSUnjooYc466yzxvjdiYjIcGK6I1NZWcnXv/51Zs6cycSJEzn1\n1FP7pRXccccdzJ07N/p/ktu2bevzemdnJytWrKC4uJjCwkIuv/xy9u/fH8tliojIIO6++25+/OMf\nk5qayoMPPsijjz7K2WefzZo1a2hubu5XOzOe7r//fn7yk59gWRa//vWv+cc//sGyZct46qmn+gUx\nAIZhRP/09q1vfYuMjAzWrl3Lvffey1/+8hds2+aaa67htddeUxAjInKEitmOTGNjI8uXL2fp0qVc\ne+21ZGdnU1paysSJE5k1axYA99xzD3fddRerVq1i5syZrFy5kjfeeIONGzeSmpoKwE033cTTTz/N\nf/3Xf5GRkcGtt95KU1MTL7/88oCDz0REJP527drF4sWLufTSS/n1r3893ssRERGJXSBz++23s27d\nOp5++ukBX3ddlzlz5vC1r32Nm266CYBgMEhJSQk/+tGPuPLKK2lqaqKkpIRVq1Zx6aWXAlBRUcH8\n+fN55JFHOOecc2KxVBERGURNTQ3Z2dl9/uGovb2dK6+8kueff54HHniAiy++eBxXKCIi4onZFsc/\n/vEPTjzxRK666ipKSko444wz+vyr3d69e6muru4TjCQmJrJ06dJof/5NmzbR3d3d55jCwkJmz56t\nHv4iImPg3nvvZcGCBVx33XX8+7//O9dddx1Llizh+eef57zzzlMQIyIiR4yYtV8uLS3lt7/9Ld/4\nxje46aab2Lx5M9/97ncBuOaaa6iqqgLoN2gtJyeHyspKwJtdMNDQtdzcXGpqamK1VBERGcTy5cvZ\nvHkzL774Ig0NDfj9foqLi/n617/O9ddfP97LExERiYpZIOM4DieddBLf//73AZg/fz67d+/mN7/5\nDddcc82Q5x5ceCkiIuPjjDPO6DeXRURE5EgUs9SyiRMnMnv27D7PlZSUUF5eDkB+fj5Av52Vmpoa\n8vLyAMjLy4tOj+6turo6eoyIiIiIiEjMAplTTz2V7du393lu586dTJkyBYCpU6eSn5/PCy+8EH09\nGAzyxhtvcMoppwBwwgkn4Pf7+xxTUVHB9u3bo8eIxNuOHTvGewlyjNJnS+JBnyuJB32u5GgQs9Sy\n66+/nvPOO4+77rqLSy65hM2bN3Pfffdx2223AV762HXXXcddd91FSUkJxcXF3HnnnaSmpkY7lKWn\np3PFFVdw2223kZubG22/PG/ePPXxFxERERGRqJgFMosWLeLhhx/m9ttv52c/+xmTJ0/me9/7Hldf\nfXX0mBtuuIGOjg5WrFhBY2MjixcvZs2aNaSkpESPueOOO7Asi6uuuopgMMjy5cu57777VEcjIiIi\nIiJRMZsjI3Ks2LFjByUlJeO9DDkG6bMl8aDPlcSDPldyNIhZjYyIiIiIiMhYUSAjIiIiIiJHHQUy\nIiIiIiJy1FEgIyIiIiIiRx0FMiIiIiIictRRICMiIiIiIkcdBTIiIiIiInLUUSAjIiIiIiJHHQUy\nIiIiIiJy1FEgIyIiIiIiRx0FMiIiIiIictRRICMiIiIiIkcdBTIiIiIiInLUUSAjIiIiIiJHHQUy\nIiIiIiJy1FEgIyIiIiIiRx0FMiIiIiIiMiLm9s0YzQ3jvQxAgYyIiIiIiIyAuet9kn/8f0h48Ofj\nvRRAgYyIiIiIiIyAtX0LAObubeO8Eo8CGRERERERGZa5d4f3v/XV0NkxzqtRICMiIiIiIiNg7tvZ\n83NVxTiuJLyG8V6AiIiIiIgc4bo6MQ/siz40D5SN42LCaxjvBYiIiIiIyJHNrNiD4TjRx0alAhkR\nERERETnCmXu9tDLX5/ceK5AREREREZEjXaQ+xp63xHus1DIRERERETnSWeFAJnTK2QCYVWXguuO5\nJAUyIiIiIiIyBMfBLNsFgD1vMW5yCkZ7G0Zzw7guS4GMiIiIiIgMyqjZjxHswMnIwU3LxJk4xXu+\nsnxc16VARkREREREBhUp9HemzvT+d2KR93yvdszjQYGMiIiIiIgMKlIf40yJBDKTgfHvXKZARkRE\nREREBhXtWBYJZAq81DJTqWUiIiIiInKkOji1zI2kllUqtUxERERERI5ARnMDZmMtbmISbu4kAJx8\nL5AxqveDHRq3tSmQERERERGRAZn7vLbLzuRiMMOhQ0IiTlYehm1j1FSO39rG7c4iIiIiInJEO7g+\nJsIpiBT8j196mQIZEREREREZkNmrY5nrurxYEaSy3e7VuWz8Cv5943ZnERERERE5ovUu9F9X1cUP\n32omM2DweH4RAcA8MH4tmLUjIyIiIiLyUdLSOLIi/a5OzAP7cE0Tp3A6T+3rAKChyyWY5+3IGOM4\nS0aBjIiIiIjIR4RRUUrKtz5Lwu9/MeyxZtluDNfBKZhCu+lnQ3UXAH/+eDYJRZFZMgpkREREREQk\nzqyd72G4Dr61T2M0Nwx5bO/6mFcPdNHlwIIsP/nJFm52Hq7fj9lYBx3tY7H0/uuL5cXuuOMOMjMz\n+/yZM2dOv2Pmzp1LQUEBF110Edu2bevzemdnJytWrKC4uJjCwkIuv/xy9u/fH8tlioiIiIh8JJn1\n1QAYdgjfq88OeazVK5CpaAthGvCxwoTwhazoPJnx2pWJ+Y7MrFmz2L59e/TP66+/Hn3tnnvuYdWq\nVaxcuZIXXniB3NxcLrnkElpbW6PH3HLLLTz55JPcf//9PPXUU7S0tHDZZZfhOE6slyoiIiIi8pFi\n1NdEf/a/9AS47qDHRndkppZw1ZxU1pyXw7mTE6Ovu9HOZcdIIGNZFrm5udE/WVlZALiuy+rVq7nx\nxhv51Kc+xdy5c1m9ejWtra088sgjADQ1NfHQQw/xox/9iOXLl7Nw4ULuvfde3nvvPV566aVYL1VE\nRERE5CPFqKuK/mxWVWB98M7ABzo2Zpk3DNOeUgxARoJJsq8nfIi0YO4oG59ZMjEPZEpLS5k7dy4L\nFy7k6quvprS0FIC9e/dSXV3NOeecEz02MTGRpUuXsn79egA2bdpEd3d3n2MKCwuZPXt29BLine truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a224a8828>"
+        "<matplotlib.figure.Figure at 0x7fbe629979b0>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAAF/CAYAAABt6459AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAzIAAAGaCAYAAADU5XaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a2231ae80>"
+        "<matplotlib.figure.Figure at 0x7fbe62c04da0>"
        ]
       }
      ],
@@ -1276,25 +1276,25 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAscAAAF/CAYAAAClh2SrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAx0AAAGaCAYAAABqsy7aAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22334c88>"
+        "<matplotlib.figure.Figure at 0x7fbe62b2b7f0>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAscAAAF/CAYAAAClh2SrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAx0AAAGaCAYAAABqsy7aAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22349828>"
+        "<matplotlib.figure.Figure at 0x7fbe6297de48>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAscAAAF/CAYAAAClh2SrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3Xt4lPWd///XPQkhhEwSEgIhnIRMOCSUQwvCCquAp7r1\nbM1VLVbtaldAVqztV75W3V23VrEbD1cEof3pFmXbFQ+g1vZXPAAeECsYRMIxCYdACOFMyDkz9/eP\nDEPCDCEZkrnnnnk+rsvLZPK+537PvBFf95177o9hmqYpAAAAAHJY3QAAAAAQLgjHAAAAgBfhGAAA\nAPAiHAMAAABehGMAAADAi3AMAAAAeBGOAQAAAC/CMQDY0IEDB5SXl6fk5GQlJyfrtttu06FDh9rc\nprq6WvPmzVNWVpZ69Oih0aNH66233gpRxwBgD4RjALAZj8eja6+9Vnv27NGHH36olStXaseOHbrx\nxhvb3O5nP/uZ3nzzTf3ud7/Tli1b9LOf/Uy33XabPvjggxB1DgDhz2CFPAAITm1trR544AEtW7ZM\nDodDM2bMUGJiot544w3t3Lmzy/a7cuVKff/739f27duVnZ0tSdqyZYtGjRqlVatW6bLLLvPbpq6u\nTklJSVq6dKny8vJ8j9944406fvy4Vq9e3WX9AoCdcOYYAIL08MMP691339XSpUv15ZdfKjExUS+9\n9JIMw2hzu2uuuUZOp7PNfz7//PNzbv/5559r6NChvmAsSTk5ORowYIA+++yzgNs0NjbK7Xare/fu\nrR6Pj4/XunXr5Ha7O/DKASByxVrdAADYUXV1tX73u9/ppZde0rXXXitJ+s1vfqNVq1bpyJEjbW77\nyiuvqLa2ts2azMzMc/7swIEDysjI8Hs8IyNDFRUVAbdxOp2aPHmynnzySY0dO1YDBw7U3/72N73z\nzjtqbGzU4cOH1bdv3zZ7AoBoQDgGgCAUFxeroaFBkyZNavX4pEmT9Oc//7nNbfv163fB+w/miril\nS5fqnnvu0dChQ+VwODRixAjde++9evHFF+Vw8ItEAJC4rAIALsj5LqEI5EIvq+jXr1/AM8QVFRVt\nBu9BgwZp5cqVqq6uVllZmb799lvFx8crOTlZ6enpHX4dABCJOHMMAEFwuVyKi4vT2rVrNWLECN/j\n69atO29gfvnll1VXV9dmTVuXVUyZMkX/+Z//qeLiYrlcLknNH8jbt2+fpkyZct7e4+PjlZGRoYaG\nBr355pvnvcsFAEQT7lYBAEF64IEH9MYbb+j3v/+9srOztWTJEi1YsEB9+/bV9u3bu2y/pmlqwoQJ\nio2NVUFBgTwej2bPnq3u3bu3OuM8YsQIzZkzR7Nnz5Ykffjhh6qvr9fIkSNVVlamxx9/XMXFxVq/\nfn2nXOoBAJGAyyoAIEjz58/Xddddp9tvv10TJ07U8ePHddddd/ndEaKzGYahP//5zxo0aJAuv/xy\nXXXVVcrOztY777zTqm7Hjh2tPhx48uRJPfjgg8rJydEtt9yigQMHat26dQRjAGihzTPHCxcuVGFh\noZKSkpSfn+97/K9//atWrlwph8OhcePGacaMGSFpFgDC3fTp05WWlqY33njD6lYAAEFo88zxtGnT\n9Mgjj7R6bPPmzVq/fr1++9vfKj8/X9dff327dlRUVBR8l7Ac87MvZtd1Nm/erCVLlmjHjh3avHmz\nHn74Ya1evVr33ntvp+2D+dkb87MvZmdvFzK/NsPxyJEj1bNnz1aPrVy5UjfddJNiY5s/y5eUlNSu\nHfGHzN6Yn30xu65jGIYWLVqkiy++WJdccolWr16tFStW6Kqrruq0fTA/e2N+9sXs7O1C5tfhu1VU\nVFRoy5Yt+tOf/qRu3brpjjvuUFZWVtANAIBd5ebm6osvvrC6DQBAJ+rwB/Lcbreqq6v15JNPasaM\nGXruuee6oi8AAAAg5Dp85jgtLU0TJ06U1HyfT8MwVFVVJafT2aquqKio1SntvLy8C2wVVmJ+9sXs\n7I352Rvzsy9mZ295eXlatmyZ7/vc3Fzl5ua2a9sOh+MJEyZo8+bNysnJUXl5uZqamvyC8bmaKC8v\n7+juECacTqeqqqqsbgNBYHb2xvzsjfnZF7Ozt8zMzKAPcNoMx88//7y2bt2qqqoqzZw5U3l5eZo2\nbZpeeuklPfTQQ4qNjdX9998f1I4BAACAcBPSFfI4c2xfHEHbF7OzN+Znb8zPvpidvWVmZga9LSvk\nAQAAAF6EYwAAAMCLcAwAAAB4EY4BAAAAL8IxAAAA4EU4BgAAALwIxwAAAIAX4RgAAADwIhwDAAAA\nXoRjAAAAwItwDAAAAHgRjgEAAAAvwjEAAADgRTgGAAAAvAjHAAAAgBfhGAAAAPAiHAMAAABehGMA\nAADAi3AMAAAAeBGOAQAAAC/CMQAAAOBFOAYAAAC8CMcAAACAF+EYAAAA8CIcAwAAAF6EYwAAAMCL\ncAwAAAB4EY4BAAAAL8IxAAAA4EU4BgAAALwIxwAAAIAX4RgAAADwIhwDAAAAXoRjAAAAwItwDAAA\nAHgRjgEAAAAvwjEAAADgRTgGAAAAvAjHAAAAgBfhGAAAAPAiHAMAAABehGMAAADAi3AMAAAAeBGO\nAQAAAC/CMQAAAOBFOAYAAAC8CMcAAACAV2xbP1y4cKEKCwuVlJSk/Pz8Vj977733tHTpUr388stK\nTEzs0ibtwmxskKpOSg11Un2dVF8vyZR6JsnoP8i/vrpKqtgvGYZkOCRDzf9O6CkjPcO/vq5GOn60\nda0kdY+XkZQSoJ9Gqa7G+/zef2RIsbEy4rr715umZHqaawxDhmFc0PsBAABgN22G42nTpumaa67R\niy++2Orxw4cPa9OmTerdu3eXNmc35sa/y/zdM/4/GDtJMbMf8X98+7fyvPR0++u3bOxY/bdfday+\n8Av/esOQxk2S/s9v/MrNb/4uz/+Xfyasy5AchozvjJfjpw/612/eIM9rC1uHdcOQkTNOjh/f51+/\n9Rt5lr3cOtgbhowR35Hjh3f71+/YLM87/+Or8z2/a6Qc19/uX1+yTZ6/vtniuSUZDhlDh8lx9c3+\n9bt3yvzoz2de6+l9DM6SY9oP/OvLdsn8dGWL/r3v54CL5Jh8hX99+V6ZX65p1YsMSf0GyjHhH/3r\nK/bLLFzXulaGjL6ZMsZc7F9/qEJm0dctevfW9+4rI2esf/2RQzJ3bvZ/P3ulyXDl+NcfPyLt3ulX\nr6ReMgZn+defPC7t33PWfCUlJsnIDHQweUqqPOB9vd566dwHk7U10vEjZ+pOzy2+h4yUVP/6+nqp\n+mSLem9f3eJk9PQ/AWA2NTYfBOvMeynDkGJiAh98ejySx32mrkVPhoNf4gFAuGgzHI8cOVKVlZV+\nj7/66quaMWOGnnkmQBCMYkZCT5nJqVL3eCk+Xorr3hwmMgcG3iAhURoyTDLNM//IlJHeN3B99x5S\nn0zv2V35tjGSkgPXx3STEp2Sp/l5ZUoyPQH/x33mRRjePtRqHwE1NUl1tX4PmwEek9R8Jv3oIf/6\n/oMD19dUS/t2+9ennuOgrOqktKPIvz6+R+D640elb/7uX3/6/T3b0UMy160K0OcpKUA41qEDMle9\n7//4uElSgHCsin0y//JG4PoA4Vj798h8e4nfw+a4SYoJEI61t1Tm/ywKXB8gHGv3TpkvPxe4PkA4\nVsl2eRYFOBgbN0kxswIcjO3c0rH6bZs6Vr9lY8fqN2/oWP03X3WsvnBdh+rNwnXyLJ6v45JaBnBj\n7EQ5/uX/+Nd/83d5Ts+rRVg3Rp/jYPXb9fIsefGsgz3JyP2uHD+537++qFCeP57+89OifuRYOW7/\nF//60we3LQ9ODEPGiNFy3PpT//rt38rz9qve2jO/tTKGjZLj5p/41+8okufdP7Y++JRkuHLkuP42\n//rirfKc/u+rxcGqMXS4HP90q3996XZ5Vi73tt5iH0Oy5bjqJv/60wfPp1+r93XXD8+VJl/pX7+n\nROaav7boxzvjQUPluPT7/vVlu2R+/uGZB073c66D7f17ZH6xyu9ATJmD5Jg01b++fK/Mrz7z67/5\n4HyKf33FPplff9Hivff+eeiTKeO7/+Bff7Bc5qavWjx/8xdGn34yRk/wr/cdzLfaQEZ6hozccf71\nhw/K3LbJW3SmJyMtXcaI0f71Rw7J3Fl0Vr1kpKbLyA5w8H/0sLRre+t+DEkpaTKGDvevP35U2lPc\nqncZkpJ7yRjs8q8/eUwq233WyzWkpGQZA4b411edkMr3+vdzjpML6Jg2w3EgX331lVJTUzV48DkC\nTQTzuN3a+/laNXz9dxm3/UxGbLfWBRkjpf/rHz4kSUfq/B9LHyb9y6/bX58xUvr58+2vH/Ad6dGX\n218/+LvSU69LkkydCesypcRD1aqubr2NOXC09O9L5E3d3iAtyREjI8Dzm/1HNb8/LcO9x5Ti4gLX\nZ4yQ5j57+rszzx/fI3B9n2HSzCeba+QN9KZH6pEYuL73UOmnj505eDi9n8TkwPUpF0m3/+LM859+\nf5JTA9cnDZRuub/V+yjTlFJ7B67v2V+69p4WtZ7mf/fuG7g+IUO6coZ/P30yW9X3rHOourpOZnwf\n6dJbW9R6+8kYEPj549KkidedeV8kyeOR+g8OXB/bS+Z3rzozJzW/BqP/RYHrHUkycy/TmT8/zf8y\n+g4NXK9EmdmTzrxOb/9G2jnqPQkyB7f4n+jpg8/kQYHrm+Jl9jv9P8Uzr8FI6Be4vqGbzN6uFn/e\nmrcx4tID19fFyEwe2OqPmmRKMb3kCFRfY8js4X9GXGZi4PpTpswY/8ur1NA9cP1Jt0x3gAPHGkfg\n+uMNMmsCnOE+6Q5cf7RO5vFG//ojdYHrD9fIrDzlX59yKnD9oVMy9x/1r084Frj+4EmZuwLine truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAx0AAAGaCAYAAABqsy7aAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a22334b38>"
+        "<matplotlib.figure.Figure at 0x7fbe62b2be80>"
        ]
       }
      ],
@@ -1327,17 +1327,17 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAsQAAAF/CAYAAABOsN+oAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGaCAYAAABjWI6gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl0VPX9//HnnS2TfSFhDZsQdgQRi4KAoogrLqAiws/i\n9hWxIlZbUURxIVYriApoadEqorYqRakIVmzFqLiAglYgILssgezLrPf+/oikxgmQZbK/Hudw2ty5\n93PfyVxn5jWf5Rq5ubkWIiIiIiIiYWKr7wJERERERKRpUcgQEREREZGwUsgQEREREZGwUsgQERER\nEZGwUsgQEREREZGwUsgQEREREZGwUsgQEZFal56eTmJiIkuXLq3vUkREpA4oZIiIhFkwGGThwoUM\nHjyYNm3a0LlzZ6666io+//zzKrWTkZHBzTffzBlnnEHnzp1p1aoVJ598MldddRXvvffeMY8rKSkh\nPT2dgQMH0rp1a9LS0pg0aRJbt24N2TcnJ4eXXnqJiRMncuqpp9K2bVs6dOjAueeey3PPPUcgEKjy\n7388hmGEtb3akpuby/Tp0+nbty+tWrWiZ8+e3Hbbbfz4449VbqsqzwdA3759SUxMrPBf9+7dK3XO\nxx9/vOyYDz74oMo1i4jUlKO+CxARaUosy+KGG25g+fLldOvWjZtvvpns7GyWLVvGhRdeyEsvvcSF\nF15YqbbWrl3Lxx9/zMCBAxk+fDjR0dHs2bOHlStX8v7773PjjTfyxBNPlDvG6/VyxRVX8NlnnzFg\nwAAuueQS9u7dyz/+8Q9Wr17N22+/zamnnlq2/7Jly/jtb39Ly5YtGTp0KJdddhmHDx9m5cqVTJ8+\nneXLl7N8+XJcLldY/04NWXZ2NqNGjWLbtm0MHz6cK6+8ki1btvDKK6+wevVqVq9eTadOnSrVVlWf\nj5+75557QrZFR0ef8Jzr16/n8ccfJyYmhqKiokYT7ESkaTF0x28RkfB54403uOmmmzj99NPLfTjf\nsGED559/PnFxcWzYsIGYmJgTtuX1eomIiAjZvn//foYPH05WVhYbNmwo94F3zpw5PPzww1x22WW8\n8MILZdvfffddrr32Wnr06MEnn3xS9sHzo48+oqioiPPPP7/ch9GCggIuuugiNm3axCOPPMKUKVOq\n+ycBSodLPf744yxYsIBrrrmmRm3VtjvuuIO//vWv3HbbbTz88MNl259//nnuuecezjnnHN54441K\ntVXV5wNKezL27dtHdnZ2lWsvLi5m2LBhpKSk0LFjR15//XXefPNNRowYUeW2RERqQsOlRKRRsCyL\nhQsXMmjQIFq3bk2vXr24++67ycvLo2/fvpx88sn1XSIAf/nLXwC47777yn37f8opp3D55Zdz+PBh\nli9fXqm2KgoYAG3atOG0004D4ODBg2XbLcti8eLFGIbBrFmzyh1z4YUXcsYZZ7B582Y+/vjjsu3D\nhg3jggsuCPm2OzY2lttvvx2g3P41ZVkWH330ERdddBHt27enQ4cOXH311cccOlTXCgsLef3114mJ\niQnpSbj55ptJTU3lgw8+YOfOnSdsqzrPR03df//9HDx4kIULF6oHQ0TqlUKGiDQKd911F/feey8F\nBQVcd911jBkzhn//+99cccUVBIPBBvGByuPx8PnnnxMdHc3gwYNDHh85ciRQOgyqJrKysvjqq69I\nSkqid+/eZdt37NjBvn376Nq1Kx06dDjm+T/66KNKncfhcJT733BYtWoVY8aMIT4+nuuvv54zzjiD\n1atXc9FFF1Xrm/tw+/LLL/F4PAwaNChkaJJhGJx77rlA5Z7DmjwflmWxbNky5syZw/z58/n3v/99\nwvkx77//PosXL+bBBx+s9HAuEZHaojkZItLgffLJJyxevJguXbrwwQcfEB8fD8DMmTO59NJL2b9/\nf4Uf4o7llVdeYffu3ZXePyEhgcmTJ59wvx07dmCaJh07dsRmC/0O56STTgJg+/btlT43lA61eu+9\n9wgGg+zbt4/33nuP+Ph4XnjhhXLDrjIzMwHo0qVLhe0cPf8PP/xQqfO+/PLLAGUfrMPh3Xff5c03\n32TYsGFl2x566CHmzp3LkiVLynpPTiQ9Pb1K5z355JO56KKLTrhfOP+G1W3raGC+/vrry21v164d\n8+fPZ/jw4SFtHTlyhNtuu42zzjqLG2644YS1iYjUNoUMEWnwXn31VQCmTZtWFjAAnE4nDzzwAOef\nf36V28vIyKj0/h06dKhUyMjPzwcgLi6uwsePbs/Ly6v0uQG+/vprHn/88bKfo6KiGDt2LH379q21\n8y9YsIA1a9bQr18/JkyYUKV6j+eKK64oFzAArrvuOubOncv69esr3c7jjz+OYRhY1omnFRqGwTXX\nXFOpkBHOv2F127r22msZPHgwPXv2JCYmhh07drBo0SJefPFFrr76at577z369+9f7pipU6fi8Xh4\n9tlnT1iXiEhdUMgQkQZv48aNAJxxxhkhjw0cOBC73V6l9lasWBGWuurKpEmTmDRpEj6fj507d/Li\niy/y5JNP8u6777JmzRrcbndYz/e3v/2NGTNm0LZtW15++eUq/32P55RTTgnZ1q5dO6B02djKysnJ\nCVtNDc3vf//7cj/37NmTOXPmEB0dzbPPPsvjjz9e7n4jS5Ys4Z///Cfz588v+1uKiNQ3zckQkQYv\nPz8fwzBISUkJecxut5OUlFQPVYU6+s300W+wf+no9p/3xlSFy+WiW7duzJ49m+uvv57vv/+el156\nKaznf/XVV7nlllto164d//znP2nfvn21aj2Wis59dM5HMBgM67mqI5zPYbivh6PDp9atW1e27ccf\nf2T69OlccMEFjB8/vsLjKtPbIyISburJEJEGLzY2FoBDhw6V/f+jgsEg2dnZVfoGt7bmZHTu3Bmb\nzcauXbsIBoMhPQBH52Ica4x+VYwYMYLFixfz7bfflm3r1q1bufP80onO/+KLLzJt2jQ6derE22+/\nHfaAEU61NSejpn/D2moLKAvTxcXF5dooLCxk5cqVJCYmVnjc2LFjAZg9e3alrmMRkXBQyBCRBq9f\nv35s2rSJTz/9NOQD2RdffFHlb8Bra06G2+1m0KBBfPrpp3zyyScMHTq03OPvv/8+QMichOrYv38/\nQLnQ1blzZ1JTU8nMzGTXrl107Nix0udfuHAh9957L127duXtt9+mTZs2Na6xNtXWnIyBAwfidrtZ\nt24dhYWF5SbWm6bJmjVrMAwj5LmtSE2ej4p8+eWXAOVWjmrTpg0TJ06scHW1jIwMtm/fzrnnnkvb\ntm3p1atXpc4jIhIOGi4lIg3euHHjAJg7d265cfs+n4+HHnqoyu2tWLGCnJycSv/75ptvKt320ZV9\nHn30Ubxeb9n29evXs2zZMlJSUhg9enS5Y/bs2cPWrVtDhtV89dVXFZ5jx44dzJkzB8MwuPjii8s9\ndnRIzQMPPFDuA/g///lPPvvsM3r27MmZZ55Z7pg5c+Zw77330rNnT959991KBYy+ffuSmJgY1ns8\nVEVOTg7Z2dmVev6ys7OZP39+pdqNjo5m3LhxFBYW8thjj5V77E9/+hN79uzhnHPOCQkMW7duJTMz\nM2SZ2ao+H1u3bqWoqCikrl27dnH33XcDcNVVV5Vt79q1K08//TTz5s0L+Xf0XiqTJ09m3rx5Fa5K\nJSJSW9STISIN3pAhQ/j1r3/Niy++yODBg7n44ouJiIhg5cqVJCQk0KZNmwqXjK0PY8aM4Z133mH5\n8uUMGzaMUaNGkZ2dzbJly7Asi3nz5oXc7fuWW27hk08+Yf78+eXG1V9++eW0bNmSvn370q5dOwKB\nADt27OCDDz7ANE2mTZsWMhl+ypQprF69muXLl3POOecwbNgw9u7dyz/+8Y+yicM/t3TpUh5++GEM\nw2DIkCH8+c9/DvmdKhouZlkWhmGUu+FgUzFz5kwyMjKYP38+mzZtYsCAAWzZsoWVK1fSsmVLnnji\niZBjBg0aBJQuUvDzYWZVfT7efPNN5s+fz5AhQ0hNTS1bXWr16tV4vV7OO+88fvOb39TuH0BEJAyO\nGzIyMjJ45pln2LhxI/v37w95A8zPz2fWrFm89957ZGdnk5qayqRJk7j11ltrvXARaV7mzJlDWloa\nL774In/9619p0aIFF110Effffz+9evUqu+dAQ7B48WKef/55Xn75ZRYtWoTb7ebMM8/krrvuKvt2\n+ecMwyj793P33Xcfa9as4csvv2TVqlUEg0Fat27NZZddxq9//euQHgkonRy+bNky5s6dy5tvvsnC\nhQuJi4vjkksuYfr06WXzBI76+dyUigIGhA4Xy8nJYd++faSlpVX4+1Skot+voUpMTGT16tX84Q9/\nYMWKFXz66ae0aNGCCRMmcO+99x6zp6ei36+qz8ewYcPYvn0733zzDZ999hnFxcUkJCQwePBgrr76\naq6++upK/x6N6W8uIk2PkZube8wBre+//z7r1q2jb9++TJ48mSeffJJrrrmm7PEpU6aQkZHBs88+\nS8eOHcnIyGDq1Kk8/fTTVXohFBGpru3btzNw4EDGjh3LokWL6rucZmHFihVMnDiRRYsWlU0qFhER\n+bnjji8YOXIkM2bM4NJLL61wKMKGDRsYN24cZ555Ju3bt2fcuHEMHDjwmOOIRUSqKysrC9M0y20r\nLi5m+vTpACFzE6T2ZGRk0KNHDwUMERE5phrNyTj33HNZuXIlEydOpF27dqxbt45NmzYxderUcNUn\nIgLA888/z2uvvcbQoUNp1aoVBw8e5KOPPuLHH3/kvPPO49JLL63vEpuNqi4fKyIizU+NQsasWbP4\nv//7P/r06VN2M6UnnniC8847LyzFiYgcNXz4cDZu3MiHH35ITk4OTqeTLl26cMstt2gemILine truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a208d1d68>"
+        "<matplotlib.figure.Figure at 0x7fbe6296aa90>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAsQAAAF/CAYAAABOsN+oAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAxkAAAGaCAYAAABjWI6gAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a223143c8>"
+        "<matplotlib.figure.Figure at 0x7fbe6296a9b0>"
        ]
       }
      ],
@@ -1383,25 +1383,25 @@
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAsgAAAF/CAYAAABUjD8mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAx4AAAGaCAYAAACBhJXZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a207b7b00>"
+        "<matplotlib.figure.Figure at 0x7fbe60f5a0b8>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAsYAAAF/CAYAAABKRQ+VAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAxsAAAGaCAYAAABnrV6dAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a20841be0>"
+        "<matplotlib.figure.Figure at 0x7fbe60ff2c18>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": "iVBORw0KGgoAAAANSUhEUgAAAsYAAAF/CAYAAABKRQ+VAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAxsAAAGaCAYAAABnrV6dAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
        "text": [
-        "<matplotlib.figure.Figure at 0x7f8a208c7c18>"
+        "<matplotlib.figure.Figure at 0x7fbe628f66d8>"
        ]
       }
      ],