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Strava/Strava-Leaderboard_Wind_Analysis-Clockwise.ipynb
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{
"cells": [
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"metadata": {
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"cell_type": "markdown",
"source": "# The best wind for a KOM on Strava - Richmond Park clockwise\nhttps://www.strava.com/segments/9952393\n- Revamped version for clockwise loop\n- \nTwo key aspects of the weather affect the time to complete a Strava segment: the wind and the air density. Both the speed and direction of the wind are important. When finessing a KOM, it is helpful to understand how temperature, pressure and humidity affect the air's density, as well as differences in altitude.<br>\nClearly, on an exposed, arrow-straight segment, the most favourable weather would be a hurricane tailwind. Like other KOM hunters, I have searched for segments that align with the predicted wind direction when a gale is forecast, though I've usually ended up going kitesurfing instead. <br>\nWhen the segment is a loop, such as the <a href=\"https://www.strava.com/segments/610040\" target=\"_blank\">Tour de Richmond Park</a>, discussed in the previous blog, the question becomes more interesting. Consider a light aircraft flying above the Richmond Park segment at an altitude of 300m. Any constant wind, regardless of direction, will result in a slower time than completing the loop in still air. Why? Since any headwind slows down the plane, it hinders the pilot for more time than the tailwind provides assistance, resulting in a net increase in the total time.<br>\nHowever, cyclists do not ride in constant winds. Trees, buildings and the terrain all affect the wind's speed and direction. The variability is so strong that it is recommended that multiple anenometers should be positioned at intervals alongside the 100m track at important athletics meetings. <br>\nAll this means that it is quite likely that there are optimal wind conditions for all Strava segments. Most people suggest that a tailwind up Sawyers Hill is best for Richmond Park - this would be just North of an Easterly, coming from a bearing of about 75&deg;. Historically, this is not a very common wind direction for London, especially when many PBs have been set, in July and August, though September has seen more frequent Easterlies. The following charts show the percentage frequency distributions of wind directions, for the year and for the summer months. (An interactive version can be found on <a href=\"https://www.windfinder.com/windstatistics/london-heathrow\" target=\"_blank\">this site</a>)."
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"cell_type": "code",
"source": "%matplotlib inline\nimport matplotlib.pylab as plt\nimport pandas as pd\nimport numpy as np\nimport sys\n",
"execution_count": 1,
"outputs": []
},
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"metadata": {
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"cell_type": "code",
"source": "import Strava_Download as strava\nsys.path.append('/Users/Gavin/Gavin/Jupyter/Weather')\nfrom Windfinder import historicWind",
"execution_count": 2,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Historic wind obtained from https://www.windfinder.com/windstatistics/london-heathrow"
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"metadata": {
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"cell_type": "code",
"source": "historicWind = historicWind(location='london-heathrow')\nhistoricWind",
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 3,
"data": {
"text/plain": " January February March April May June July August September \\\n0 4.8 3.9 3.4 4.1 4.1 3.5 2.5 2.6 3.8 \n1 4.7 5.6 5.2 7.1 6.9 6.7 3.3 2.1 4.2 \n2 5.4 6.4 6.9 8.1 7.7 8.1 3.3 2.2 4.2 \n3 4.4 6.5 10.5 9.5 8.9 5.9 3.5 1.9 5.8 \n4 3.6 3.9 5.7 6.0 5.9 5.0 3.5 1.9 5.1 \n5 2.4 2.2 1.9 2.6 2.6 3.0 1.7 1.3 2.4 \n6 3.2 3.1 2.1 2.4 2.6 2.4 1.6 1.6 2.2 \n7 4.2 4.7 3.9 3.8 3.2 3.0 2.7 3.2 3.0 \n8 6.0 6.5 4.2 6.3 5.6 4.2 5.4 6.5 4.8 \n9 10.5 8.2 7.3 7.2 8.0 8.5 11.3 11.8 10.7 \n10 11.9 10.1 10.2 9.4 9.9 11.5 16.2 16.9 14.4 \n11 10.1 10.8 9.4 7.5 9.6 11.5 14.1 13.6 12.3 \n12 12.6 9.8 13.2 11.2 10.2 12.0 11.8 13.6 11.4 \n13 8.0 7.7 7.9 5.9 6.4 5.9 7.9 8.8 6.6 \n14 5.9 6.2 4.8 5.0 4.8 5.3 7.3 7.2 5.4 \n15 2.4 4.3 3.3 3.9 3.8 3.5 3.7 4.8 3.5 \n\n October November December Year Bearing \n0 4.0 3.8 2.3 3.6 0.0 \n1 4.3 4.0 3.2 4.8 22.5 \n2 5.8 3.5 2.9 5.4 45.0 \n3 6.9 3.7 4.4 6.0 67.5 \n4 4.7 3.7 2.7 4.3 90.0 \n5 3.4 3.0 1.8 2.4 112.5 \n6 3.2 3.4 3.4 2.6 135.0 \n7 4.7 4.2 3.2 3.7 157.5 \n8 6.7 7.1 6.1 5.8 180.0 \n9 11.9 10.6 12.4 9.8 202.5 \n10 11.9 11.9 15.8 12.5 225.0 \n11 9.1 11.7 14.4 11.1 247.5 \n12 10.0 9.9 13.4 11.6 270.0 \n13 6.7 9.0 7.4 7.4 292.5 \n14 4.0 6.7 4.8 5.6 315.0 \n15 2.7 3.8 1.8 3.5 337.5 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>January</th>\n <th>February</th>\n <th>March</th>\n <th>April</th>\n <th>May</th>\n <th>June</th>\n <th>July</th>\n <th>August</th>\n <th>September</th>\n <th>October</th>\n <th>November</th>\n <th>December</th>\n <th>Year</th>\n <th>Bearing</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>4.8</td>\n <td>3.9</td>\n <td>3.4</td>\n <td>4.1</td>\n <td>4.1</td>\n <td>3.5</td>\n <td>2.5</td>\n <td>2.6</td>\n <td>3.8</td>\n <td>4.0</td>\n <td>3.8</td>\n <td>2.3</td>\n <td>3.6</td>\n <td>0.0</td>\n </tr>\n <tr>\n <th>1</th>\n <td>4.7</td>\n <td>5.6</td>\n <td>5.2</td>\n <td>7.1</td>\n <td>6.9</td>\n <td>6.7</td>\n <td>3.3</td>\n <td>2.1</td>\n <td>4.2</td>\n <td>4.3</td>\n <td>4.0</td>\n <td>3.2</td>\n <td>4.8</td>\n <td>22.5</td>\n </tr>\n <tr>\n <th>2</th>\n <td>5.4</td>\n <td>6.4</td>\n <td>6.9</td>\n <td>8.1</td>\n <td>7.7</td>\n <td>8.1</td>\n <td>3.3</td>\n <td>2.2</td>\n <td>4.2</td>\n <td>5.8</td>\n <td>3.5</td>\n <td>2.9</td>\n <td>5.4</td>\n <td>45.0</td>\n </tr>\n <tr>\n <th>3</th>\n <td>4.4</td>\n <td>6.5</td>\n <td>10.5</td>\n <td>9.5</td>\n <td>8.9</td>\n <td>5.9</td>\n <td>3.5</td>\n <td>1.9</td>\n <td>5.8</td>\n <td>6.9</td>\n <td>3.7</td>\n <td>4.4</td>\n <td>6.0</td>\n <td>67.5</td>\n </tr>\n <tr>\n <th>4</th>\n <td>3.6</td>\n <td>3.9</td>\n <td>5.7</td>\n <td>6.0</td>\n <td>5.9</td>\n <td>5.0</td>\n <td>3.5</td>\n <td>1.9</td>\n <td>5.1</td>\n <td>4.7</td>\n <td>3.7</td>\n <td>2.7</td>\n <td>4.3</td>\n <td>90.0</td>\n </tr>\n <tr>\n <th>5</th>\n <td>2.4</td>\n <td>2.2</td>\n <td>1.9</td>\n <td>2.6</td>\n <td>2.6</td>\n <td>3.0</td>\n <td>1.7</td>\n <td>1.3</td>\n <td>2.4</td>\n <td>3.4</td>\n <td>3.0</td>\n <td>1.8</td>\n <td>2.4</td>\n <td>112.5</td>\n </tr>\n <tr>\n <th>6</th>\n <td>3.2</td>\n <td>3.1</td>\n <td>2.1</td>\n <td>2.4</td>\n <td>2.6</td>\n <td>2.4</td>\n <td>1.6</td>\n <td>1.6</td>\n <td>2.2</td>\n <td>3.2</td>\n <td>3.4</td>\n <td>3.4</td>\n <td>2.6</td>\n <td>135.0</td>\n </tr>\n <tr>\n <th>7</th>\n <td>4.2</td>\n <td>4.7</td>\n <td>3.9</td>\n <td>3.8</td>\n <td>3.2</td>\n <td>3.0</td>\n <td>2.7</td>\n <td>3.2</td>\n <td>3.0</td>\n <td>4.7</td>\n <td>4.2</td>\n <td>3.2</td>\n <td>3.7</td>\n <td>157.5</td>\n </tr>\n <tr>\n <th>8</th>\n <td>6.0</td>\n <td>6.5</td>\n <td>4.2</td>\n <td>6.3</td>\n <td>5.6</td>\n <td>4.2</td>\n <td>5.4</td>\n <td>6.5</td>\n <td>4.8</td>\n <td>6.7</td>\n <td>7.1</td>\n <td>6.1</td>\n <td>5.8</td>\n <td>180.0</td>\n </tr>\n <tr>\n <th>9</th>\n <td>10.5</td>\n <td>8.2</td>\n <td>7.3</td>\n <td>7.2</td>\n <td>8.0</td>\n <td>8.5</td>\n <td>11.3</td>\n <td>11.8</td>\n <td>10.7</td>\n <td>11.9</td>\n <td>10.6</td>\n <td>12.4</td>\n <td>9.8</td>\n <td>202.5</td>\n </tr>\n <tr>\n <th>10</th>\n <td>11.9</td>\n <td>10.1</td>\n <td>10.2</td>\n <td>9.4</td>\n <td>9.9</td>\n <td>11.5</td>\n <td>16.2</td>\n <td>16.9</td>\n <td>14.4</td>\n <td>11.9</td>\n <td>11.9</td>\n <td>15.8</td>\n <td>12.5</td>\n <td>225.0</td>\n </tr>\n <tr>\n <th>11</th>\n <td>10.1</td>\n <td>10.8</td>\n <td>9.4</td>\n <td>7.5</td>\n <td>9.6</td>\n <td>11.5</td>\n <td>14.1</td>\n <td>13.6</td>\n <td>12.3</td>\n <td>9.1</td>\n <td>11.7</td>\n <td>14.4</td>\n <td>11.1</td>\n <td>247.5</td>\n </tr>\n <tr>\n <th>12</th>\n <td>12.6</td>\n <td>9.8</td>\n <td>13.2</td>\n <td>11.2</td>\n <td>10.2</td>\n <td>12.0</td>\n <td>11.8</td>\n <td>13.6</td>\n <td>11.4</td>\n <td>10.0</td>\n <td>9.9</td>\n <td>13.4</td>\n <td>11.6</td>\n <td>270.0</td>\n </tr>\n <tr>\n <th>13</th>\n <td>8.0</td>\n <td>7.7</td>\n <td>7.9</td>\n <td>5.9</td>\n <td>6.4</td>\n <td>5.9</td>\n <td>7.9</td>\n <td>8.8</td>\n <td>6.6</td>\n <td>6.7</td>\n <td>9.0</td>\n <td>7.4</td>\n <td>7.4</td>\n <td>292.5</td>\n </tr>\n <tr>\n <th>14</th>\n <td>5.9</td>\n <td>6.2</td>\n <td>4.8</td>\n <td>5.0</td>\n <td>4.8</td>\n <td>5.3</td>\n <td>7.3</td>\n <td>7.2</td>\n <td>5.4</td>\n <td>4.0</td>\n <td>6.7</td>\n <td>4.8</td>\n <td>5.6</td>\n <td>315.0</td>\n </tr>\n <tr>\n <th>15</th>\n <td>2.4</td>\n <td>4.3</td>\n <td>3.3</td>\n <td>3.9</td>\n <td>3.8</td>\n <td>3.5</td>\n <td>3.7</td>\n <td>4.8</td>\n <td>3.5</td>\n <td>2.7</td>\n <td>3.8</td>\n <td>1.8</td>\n <td>3.5</td>\n <td>337.5</td>\n </tr>\n </tbody>\n</table>\n</div>"
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"source": "def compassRose(Dirns,labels=[],saveto=False):\n \"\"\"Make a compass rose radial chart from a set of equally-spaced Directions \n in clockwise order from North and optionally saves to 'saveto'.png\n For multiple plots pass in vertically stacked arrays like \n Dirns = np.vstack((segmentWindDirn,historicWind.Year))\"\"\"\n\n n = max(Dirns.shape) # number of directions\n ax = plt.subplot(111, projection='polar')\n theta = 2 * np.pi * np.arange(n+1) / n # Since theta convention is anticlockwise...\n\n if Dirns.ndim == 1: \n x = Dirns\n r = np.append(x[0],x[::-1]) # ...reverse order... \n ax.plot(theta, r,label=labels[0])\n else:\n for i in range(Dirns.shape[0]):\n x = Dirns[i][:]\n r = np.append(x[0],x[::-1]) # reverse order... \n ax.plot(theta, r, label=labels[i])\n \n ax.legend(loc='upper left', bbox_to_anchor=(0, 0.1),fontsize='small')\n ax.set_rlabel_position(-22.5) # get radial labels away from plotted line\n ax.grid(True)\n ax.set_theta_zero_location(\"N\")\n# ax.set_xticklabels(map(str, [0]+list(range(315,0,-45))))\n ax.set_xticklabels(['N','NW','W','SW','S','SE','E','NE']);\n ax.set_title('Frequency distribution of wind directions', va='bottom')\n if saveto:\n plt.savefig(saveto+'.png')\n plt.show()\n return\n",
"execution_count": 4,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "compassRose(historicWind.Year,['Year'],'RoseYear')\ncompassRose(np.vstack((historicWind.July,historicWind.August,historicWind.September)),['July','August','September'],'RoseSummer')\n\n",
"execution_count": 5,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "compassRose(historicWind.Year,['Year'])\nplt.savefig('RoseYear2019.png');\n",
"execution_count": 4,
"outputs": [
{
"data": {
"image/png": 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Mvw/jK77Mohxe5FkAtFAoFO+pVKrybt261Xz11VdUXFxMoUZ6enqwVXDgwoULNHnyZHPL\nli018fHxlwCMBhBLv1/XVRCbbushzoP7PDle9ywATSmA9/p6WoKuwB9lgVgMHhAfH79eqVTqnn76\nae2BAwcolAk1Y2HFZDLR999/T/fff3+tUqnUqFSqeQA6Uwjc5+t5CVdD/Ixl4tqn4+Pj31YoFG3f\neeed6DFjxkQ0bRqOtC8H2dnZSE1NNX755ZcUExNztKqqahqAzfT7vKxhZCJsLPwEY+zG2NjY/5rN\n5n8MHDhQePPNN9UPPPAAIiLCw3H8QX19PdatW4dp06bVXrp0yWQ0GlONRmMqEVUFW7frhmAXba63\nBUCLuLi4BbGxsbpXXnnFcOXKFWqshGo1pCEOHDhAw4cP16lUqtqoqKi3AagoBJ6Nxr4EXYHrZQEQ\nHxMTMykmJkY3duxYfSg6LH2lsRoLK6dPn6aHHnpIo1QqqyBGKldQCDwrjXUJV0M4YYzFREREvBwT\nEzNx6NChiilTpsTefPPNwVYrjB179+7FG2+8oTl37lxlbW3tfwBsoPCD7zNhYyERSx+Jp1Uq1cw+\nffrEfv7557G9evUKtlph3EBE+Omnn/DKK69oy8rKcjUazVgi2hVsvRoVwS7aNMYFwMPx8fGXe/Xq\nVbt79266XgnVasjo0aOpRYsW1KNHD9u2t956i7p27Uq9evWixx57jKqrq12mNZvN9M0331CrVq00\niYmJewD0ohB4phrDEnQFGtMCoHl8fPzGpKQk3caNG0kQBGosaDQah/+zZs2yrdfU1ND06dNt69XV\n1fTRRx/Ryy+/7LBtxowZtvWqqiqaN2+ebd1kMpFOp/OX+g7s2bOHMjMzHYzF9u3byWw2ExHRO++8\nQ++++65HGfX19TR37lyzSqXSK5XKqQBiKASesVBegq5AY1kAPBYbG1s1btw4fV1dHYUyJpOJZs2a\nZTNmWq2WUlNTbfvNZjPV19dz56PX623/q6qqaMGCBbb1oqIiWrlyJXce7rhy5YqDsbBnw4YN9I9/\n/MMrOfn5+TRkyJA6tVqdBXFEatCftVBdgq5AqC+W0sQPLVu21O7du5dClUmTJjkYgKqqqiBqQyQI\ngkNVICsri5YsWSKbfE/G4pFHHqFvvvnGa1mCINCKFSuEuLg4nUqlCpcy3L0LwVYglBcAj8bGxlb+\n+9//DrnSxJw5c6i0tNSvefjTZ3H8+HFav3695PTujMWkSZPosccekySzoKCA/vznP4dLGe7eh2Ar\nEIqLpTSxqW3btnWhUppYtWoVnT17NqB5BtLBuX37dsrIyPD6eFfGYsmSJTRgwACH6pGvWEsZarVa\nayllRFMIPJOhsARdgQYVBAQA0+3W3wTwEYBEAGV22/9kObaNZT0BQLmE/B6NjY2tHD16dFBLE2fP\nnvXp5bne2LBhA5WUlLjdn52dTd27d7et//jjj5SSkkJlZWWy5J+fn08DBgzQxsfHX4Y4rF3W59fy\n/2MAVwEcA5Bp+U2Qmpe/l6Ar4MXF1gG4DMvQYqeL/RuArpb/bwA4AuBvlvUhALb6kI8iNjZ2buvW\nrYNWmtBqtbb/xcXFXF/Ixk5lZSXV1NTY1u1bWv7+979T69atKTo6mtq1a0eLFy+mTp06Ufv27alP\nnz7Up08fGjt2LLcOdqWMusjIyNEk//P7MYA3pMgNxhJ0Bby42LUA3gEwycXF/gLAaMv/dQCeATDT\nsj4ewPte5tFErVZndO3aVVdeXu7qufE7V69epWXLlgUlb3eESj8LQRBo2rRpZDKZgpL/6dOnqWnT\npvq4uLj58LHLeAPP78cA3vRFXjCXxjAEkgDMB/AMYyzead8+AAMs/zsCWAvgNsv6AAD7GxLOGOsS\nFxd38rnnnrv95MmTykAOHV+2bBn0ej0AoG3bthg5cmTA8m5MMMbw1ltvITIyEgBw6dIl7NixI2D5\np6Sk4NKlSzF9+/YdFR8fv4sxluRDck/PLwC8zhg7xhjLZIwF7qQk0BiMBYhIA2AZgNecdu0HcJcl\nlNoVIjIAAGMsDkA/AIc8yWWMPaxUKo/Nnj27zbx582IUisBO0DZ48GAolcqA5ukL/g7WK5Wbb74Z\nKSkpAc0zKSkJO3fujB01alR/lUp1hjF2q7dpPTy/gFgS7ktEfYjoAdkU9gONwlhYSIU4cjDWuoGI\nLgFoAuARAAcsm48CeB5ANhFpXQlijDGVSvVOYmLi9z/++GPsmDFjAnIddu7cid27d9vW27RpE4hs\nrzsYY2jdurVtfeXKlbh48aLf81UoFJgzZ07MlClTWqpUql8ZY3/xIbn1+Y3zk3r+J9j1IG/qfHb/\npwLIgaXOZ9m2AcAlAHdZ1p+yrKe6kadUq9Xfde3aVZOTk+NcPZUd+y7hjal7OFHo+Cy8IdDXed++\nfZSUlKSNjo7+LywDMl0tnp5fhH0WsmM/LPYzAM2ctu2DGOL9iGX9AET/xT5nQYyx1mq1+mj37t2H\nHz16NK59+/Z+UlnEZDJh0qRJ1gflDx+t259Yr211dTVmzZrl9/wGDBiAEydOqJKTkz9Sq9VrLXOU\nuKKh5/c/dj6LY4wx/z6UPATbWgVqAXBjXFxc0UcffWTw95ensZUgQhVXo0srKipo8ODB1LlzZxoy\nZEiD3dr9fS/q6upoxIgR2vj4+AMA4igEnnV/LY2hZMENY+wWpVJ5ZPLkyc0nTJgQ5c8vfHp6uoNf\nIox0nn/+efz8888O26ZMmYI///nPOH/+PAYNGoRPP/3Uo4wVK1YgKyvLbzrGxsbi+++/V40YMaK3\nWq3eyxhL8FtmwSbY1srfC4AUlUpVPnHiRLOLD0MYD4SCz8K5W3eXLl2oqKiIiIgKCwupS5cuwVLN\nAbPZTEOHDq1Xq9WnACRRCDz7ci/XdcmCMdYzNjZ2/4IFC5I+/PBDv53rtGnToNW6bHgJSXQ6Hb76\n6ivbem1tLT777DPbek1NDT7++GPs2rXLtu3kyZNYt26dw7r9V58oMBHXSkpK0LJlSwBAq1atUFLi\n/SyE58+fx+rVq/2iV0REBDZt2hQ9atSoTmq1+iBjrLlfMgomwbZW/loApCiVyppVq1b53YFgDboS\nKgiCQIcOHbLV1+vr62nSpEm2/SaTiXh7qprNZoeAOkePHqW0tDTb+qVLlygrK4srD6JrSxZJSUkO\n+5s2beqTPH/fK0EQ6I033qiPjY29hOushBF0BfxyUsAtKpWqYv78+QKR+LLIEezFisFgoLVr18om\nTw727dtH1oFvgiDQjz/+GFQjVlBQQOfPn7etHzp0iKQ0VTsbi65duzpUQ7p27SpJP5PJJPs9rK2t\nJUEQSBAEeuaZZ+rVavVJhPDAMF+X664awhjrGBsbuz81NTXxlVdeYQBQWlqKtWvXypaHIAjo06eP\nbPKkUFpaiqqq3+fPiYiIgLUHKmMMDz30EPeERvbVEF9p3bo1OnfubFu/6aabYN9D9sSJE9DpdA3K\nsT6oVoYPH46lS5cCELvLjxgxQpJ+kZGRsvcC/frrr2E0GsEYw4oVK6KfeuqpW+Lj49MtPYobP8G2\nVnIuANqqVKrSzz77zC8jjuxHhQYD+2bArVu3ehzCLQf+dHBmZmZSQUGBbd1Vyc/V6NKKigp64IEH\nqHPnzjR48GCqrKyURR9/3Fuz2UxPPvmkTq1W/wpASSHwjvAsQVdAthMBYtVq9dmPP/7Y6OkGZmdn\nS6qSXLp0ib777juf08lFeno67dy5M2j5+5tp06bJWlX0lZkzZ0oKCVBcXOzRYJlMJnrwwQe18fHx\n38FDT8/GsARdAVlOAmDx8fFpTz75pLahTjjZ2dkUKtGvPFFTU8MVdq4xk5+fT2vWrAm2Gl6xYcMG\nB0evKzQaDXXp0kUTExPzNoXA+yJ1CboCciwxMTEf3XzzzVq5Q9GXl5fT9u3bZZXpLRqNhgoLC4OS\nt5Vg9rMIVlwRIqL169eT0eixgOozOTk5FB8frwPwEIXAOyNlafQOTsbY8Li4uHd2796t8nW49+7d\nu2EwGNzu12q16N+/P6+KXpOamoqKigoAQFxcHFq1ahWwvEMN+7giP/zwA44ePRqwvHv16uXxuSgu\nLsaJEyd8ktm+fXts3LhRqVKp1jLGuvDqGAwa9fSFjLFusbGxh9LT0+Nuv/12n9NfuXIFkZGRaNeu\nnR+08w4isg2Csv8fxj16vT6ocUCOHTuGLl26IC7O90aORYsWCf/5z38K6urqehBRVcMpQodGW7Jg\njDVTqVQ7FyxYECvFUADAjTfeeI2huHjxIlatWiWHig1y8uRJrF+/3rYeNhQNYzKZMGfOHATqIzd9\n+vRrmnj79u0ryVAAwJgxYyKeffbZZLVavdkyX27jIdj1ICkLgCi1Wn3gpZdeks19vmzZMqqvryeT\nyeTXkYqNaURqKIwNaQh/T5lojftZVFTk0EOVB6PRSH379tXGxcW5jLkSqkujLFmo1ep5/fv37zl/\n/vxouWTed999iIiIQGRkpF+/8LNnz0Z1dbXf5DdGZs2ahe7du6Nnz5545plnPPoLnNmzZw8OHz7s\nN92scT+joqJwzz33yCJToVBg27ZtqsTExDEKheI5WYQGgmBbK18XAM+0atWqTq7OOETiVH9z586V\nTV4Y78nPz6eOHTva+lg8+eSTIRflnEgsEU6aNEnWkuHp06dJpVJpAfSkEHi3GloaVcmCMdZGqVQu\nXLduXWyTJk1kk5uYmIh//etfAETj+emnn1oNEzcajQapqamyyLpeMZvNqKurg8lkglarlRybtKCg\nAF988YVsetXW1mLu3LkARH/S+++/L2upMyUlBR9++KFSrVavY4xFySbYXwTbWnm7AGAJCQk73nvv\nPYNP5tsD9hP32iPn5D6CIDTayYIC5bNITU0ltVpNLVq08Hr2c3fI+eV3d++MRmODHbF8yeP++++v\nU6lUEygE3jNPS2MqWTzbvHnzOz7++GPZLPDixYshCMI122NiYmz/Xe1vCIPBYOsXwBhzkBcK6PV6\n22AsQPyCzpgxw7ZujWeRmZlp27Zr1y6kp6fb1nfv3o0jR46Al6qqKqSlpSEnJwcFBQXQaDRcrVHW\nL78gCFi7dq2kEqL1nru7d9XV1bINTGSMYfny5bERERFvMcZ6yiLUXwTbWnmzAGgTExOjOXz4sK+G\nm4va2lqaPn26z+nOnz9Ply5d8oNG0jCZTDRhwgTbV9dsNtuGeUvFYDCQ/VywW7ZsoYMHD9rWvf3C\nr127lsaMGWNbX758Ob366qtculk5ffq0zyUNQRBo/PjxAW+1mj17thAXF3cJQBSFwDvnagm6Ag0q\naKl+vP/++7JUPwRBoGBOeBwopkyZEtTzXLNmDZ0+fbrB4w4dOkTdu3cnnU5HgiDQc889R/PmzZNd\nH4NBttqrA3JdY2t1RKlUTqQQeO9cLUFXoEEFgZGdOnXSyDUi8eeff6ajR4/6nK6urs7jqMg9e/YE\nbRwJEdHXX39N2dnZssqU02eRmppKpaWlLveNHz+eunbtSj169KCRI0f65cWeMmWKR7lVVVWSShPf\nfPMN5ebm8qhmIy8vj9RqtRZALwqBd895CboCHpUD2kRHR9cdO3ZM2tWXkdzcXI9D1AMdlSo3N5f8\nfV385eDU6/W0cOFCv8iWyvz58/3ewcsbvvzySyEuLu5yKFZHgq6AW8Vkbv3wRx1UEAQqLi6WXa43\nXLx4kSoqKoKStxyUlZXZ/gfaP+Av35cc5yEIAt17770hWR0J5daQp1q0aCFb68eECROsRoibCxcu\nwGAw4NChQ8jLy5NFZkNUV1dj5syZtvVOnTohKcmXybxDi2bNmtn+Z2Zm4ocffghY3iUlJTCZTCgu\nLkZpaaksMjUajcP9kQpjDN98801sZGTk/2OMBXb254YItrVytQCIUalUpRkZGVIN9DXI+fXKzs6m\nQ4cOySbPHYIgOFRvAv0FDtbYEHe+DbnZvHmzbP0liOS9P1OnTjXFx8f/QiHwPlqXkCxZKBSKsd27\nd4+Tqy8+IN+ITiJCWVkZpI509YXly5cjJyfHtv5HGZW6ZcsW1NTU+D2fIUOGYMeOHbLJk/P+jBs3\nLjIiIuIuxtifZBPKS7CtlfMCIF6lUlWfOHFCulm2UFJSInt4tuLiYof+BNu2bZM1dmRjGpUaCKqq\nqmSNWlVA0iWVAAAgAElEQVRUVOTgs5DjOXPmiy++sI1W5WHRokVCQkLCUYRI7M6gK+C8xMTE/O+J\nJ56QpfFao9FQTU2NHKLckp2dLVv4u7q6OpoyZYossq4XLl++TD/88INs8k6ePClr1cMVxcXFsrSO\nGY1G6tChgwbAwxQC72bQFXBQBmgRHR2tk2MmK7nZu3fvH+6rL7fPoqqqiv72t79R165dKSUlxaGE\n5i3+ugcnT56k48eP+0U2D+vWraO4uLgrACIoyO9nSPks1Gr1xH/+85+sY8eOXHIqKipw6dIlmbQS\n0Wq1DdZJv/76a59iMQDAmTNnsHXrVh7VGg2vvfYa/vKXv+Ds2bM4ceIEbr31Vp/SG41GTJ482ed8\nS0pK8P3333s8JiUlBbGxsT7L9sTRo0cljS2y57HHHkPHjh2bAfi7PFpJJ2RicDLGboyNjT2blZWl\ntE58K5X9+/eja9euDkFfA0FxcTGSk5N9mglMo9EgNjaWe/awUKempgZ9+vTB5cuXg5J3ZGSk5FB4\nUjl+/DiaN2+OG264gUvOrl27MGzYsOK6urr2ROTb10hGQuYJjY+P/+y1115T8BoKABgwYIAshkKj\n0eDChQteH9+yZUuvXvr6+npb+75arb7uDQUAZGdno3nz5nj++efRt29fvPjii15NX+iJTZs2wZuP\nXUJCgk+GIi0tzSu5DdG7d29uQwEAAwcORO/evdWRkZEvcQvjICSeUsZYT0EQ/vLuu+8qGj7aPda6\nlVycPHkSCQkJPqcTBAGffPKJ2/27du3iflH8CRFBp9PJ2qxoMplw7NgxvPrqqzh27BhiY2MxZcoU\nLpnt2rWD2Wx2uU+r1WLWrFmS5Hbq1An19fU8qjkgxzM5a9asuKioqEmMMbUMKkkj2E4TIkJiYmLa\n9OnTud3H3377rcPM3cHEX6Mc5cBoNNKuXbts67W1tTRt2jTbek1NDU2ePJmWLFli27Z27Vr67bff\nbOu//PKLw1ylDVFUVEQdO3a0re/Zs4eGDRsm8Qy8I1TuwerVq+ns2bPcckaMGFEXGRn5/yhYDRDB\nytimANBKpVLp5IipKddgrpqaGlm97iaTic6ePeu3MQkNIQgCLVq0yPbymEwm2rNnD5fMoqIihzk+\nFy1a1KDxuPfee23GfPz48fT2229z6WDPJ598QiaTSZb+DVaysrJkGYJuNptleZ727dtHarW6AEFq\nGQm6sYiKivp42LBhIRV3btasWbJ9lSorK2n27Nl0+fJlWR/khjh37pzDy3z16lW/5mc2mx3Ob+nS\npddcw+PHj1P//v2pV69e9Oijj1JVVZVs+RuNRhIEgSZOnCiboc/Ly+M2qnIiCAK1bdu2DsAQ+qMZ\nCwCK2NjYMinxJewpKSnxKtDKH4n09HTuzkc8/SxycnJsL63JZAroEP5AGmVf2LNnD/d1mDlzppCY\nmLidgvC+BtvBOaxTp07Rffv25RKSn58POVpR5CYvLw/r1q2zrdfU1PjcD8Nb9uzZg19++cW2PnDg\nwIA3FdrTvn17W7+UsrIyLFq0yG95VVZW2vozGAwGTJ8+XfY83DlSfUGtVtvmspXKCy+8wIxG4z2M\nsfbcCvlKMCyUdUlMTDywYsUKLksrF4Ig0MyZM2WV6RxdKycnhzZs2CCb/FD9gjbEhQsXZNX9q6++\nIq1WK5s8ZyoqKmjOnDl+k+8rY8eO1SuVyikU4Pc1aJ2yGGOdVSrVyYqKiuhgTnJrT1VVFeScj8Sf\nmM1mTJkyBe+9916jG42amZkJpVLpcw9OXzGZTFAouFrjbRCFzqTVZ8+eRZ8+fTT19fXNKICdtIJW\nDYmNjR336quvMh5DUV1djQULFsimk1yGYt68eWjICJ8+fVpSlcQqNzIyUvZJb5zZtWuXX+T26dPH\nZih0Oh3Ky8t9llFSUoKCggKPxxw+fBjbt2+XpKMzcl7nqVOnNvh8eOLWW29F7969CcBjsinlDYEu\nylguUqxSqdTwDhgTBEGW4ievg9UZb4K3ZGdn+xxD89ChQ7R582apavlMIILfVFdX06pVq3xOt23b\nNr+PHnVGr9fTli1buOXI0Ry7du1aatKkSSZd79UQxtjoP/3pT3P2798fPA+cBbPZjK1bt+KRRx4J\ntiphGgHHjx9H7969g60GjEYjkpOTddXV1XcQ0clA5BmUakhiYuLrY8eO5TIU+fn5XEU5K5GRkbIY\nipqaGocZu3xh69atbqskhw4dwrlz53hUCwqCIKBv374YPny412mICBMmTHA7UrOkpAQHDhzwWRci\n8tj93hfkMhRSq19WoqKiMHz48GiVShWw8SIBNxaMseT6+vrOTz75JJecLVu2hIzDCRCdo927d5eU\ntlu3btBoNC73JScno0uXLjyqSYbHZ5GamoqUFN/izTLG8NFHH7kdWFdVVYWePX2f4Y8xhrfeesvn\ndO4gIu4mcLPZjJ9//plLxhtvvBGpUCj+xgL0IgSjZDF00KBBBt75P1988UVuReRsj2/fvj2Sk5Ml\npe3QocM1o2StpaabbroppIyiJ8xm4NtvgbvvvorU1K24884x8LXwZ3+uZ8+eddjXuXNnyX1HoqOj\nJaVzRWlpKZYvX84lQ61W4+mnn+aS0atXL0RHR8cD8G+zkoWAG4vExMRnn3jiieCNnLNj7Nix3DKq\nq6tRXV0tgzYiCxYswJIlS4IS98GZgQMHenWcIADr1gE9ewJz5gAm0+sYPHg6Zs5k2LYNeOEFYMsW\nQK/3Lf+TJ0+iqKgI3377re/KuyEtLY07IE2LFi0wZswYmTSSDmMMw4YNi4yMjPxrQDIMpDcVgDI6\nOlrHE+pdr9eHVH/9DRs2yBq6vrS0NOCzm0lFEIg2bCDq2ZOof3+irVuJNm3abJvYOD09ne6/fxh9\n9hnRvfcSJSQQPf440YoVRN7Oj6TVamVt9Th37lxIzXW7Y8cOrvRbt26lxMTE0xSI9zcQmdgyAx7u\n06dPNc/FKSoq4h7uW1FREVIPjBVrM3BhIdEnnxAtXkxUXh54PUwmExUVFbmdu1UQiDZvJurbl6hX\nL6K0NHEbEdF///tfateuHXXs2JFatWpFcXFx9OyzzxIRUUmJeE4jRhDFxxMNGkSUmkp05YpnffR6\nPe3cuVPOU5SFQ4cOcUcez8jI4Po46PV6UqlUegAt6HoyFvHx8UumTp0a9M/m6tWrSY4h8XJy5MgR\n+uqrn2jMGKKkJKIxY0zUrdskSkggGjyY6IsviOScKdG+u7VGo6GpU6c6rM+fP9+ha/qCBQsoP7+A\nfv6Z6I47iDp3vkLr1gnk6TnftWsXPfLIIy73aTRiqWTUKKJmzYj69CEaP57o+HEirVZ3TZTzffv2\nSTxT18hx/0+cOEH5+fkyaMPHsGHDagE8T9eLsQDAlEpl9blz5+S+VkFhw4YNlJOTwy1HEIgyMoge\neYSoRQuiCROIrLUak8lEGg3R2rVETz1FlJhIdN99RHPnEvGMODebzTRp0iSfvmg7dhDddRdR165E\nq1cTrVmz1mGaBVdfWE/Gwh6jkWjXLqLXXyfq2JGoWzeio0f9O+5l0aJFVF3NVcgNGZYuXUqJiYnp\ndB0Zi36tW7eu5bkoW7ZsCdpExM6Uc9YPTCbRCNx2m5luuYVo4UIid51RBUEgo9FIOp1Y5B85Uix9\n/OlPRJ991nAxnoho4cKFkr6CGRlEAwcS3XIL0cqVot7O6PV6+vTTT32W7YzBYCBBEH0azZsTLVr0\ne/XGypEjR0ivD6nwJ9xkZGTQpUuXJKcvKyujqKgoPQAVXQ/GIjo6etLrr7/OFVEmKyuLO7CJu3p4\noKirI5o3j+imm4gGDCB66qkJZDR6PqeysjKaP3++w7b6eqIffyQaM0Z8sfr3J/r0U6ILF34/xj74\njC/XTaslmjiRqGXLdOrYkWjJEvHr7y1nzpyRNPHS//73P1tp5/RpopQU0TDa+zezsrIolEqngiDQ\n119/zSWjqqrKYVZ5KfTr168awFC6HoxFYmLixd27d3NdEF5MJhPt3buXW4aUL3RxMdFHHxElJxP9\n9a9E1iq4HFGdjEaxmjB2LFGrVmLrxCuv/EZz5my85svsCkEgOnlSLKUMGUKkVotPxqBB6SQlYFhV\nVZUs4200GtFYpKSIxsMfbNy4kVuGHNVRXqZNmybEx8cvpcZuLADERUZGmuScEzRY/Pbbbz7NpHX+\nPNFLL4nVhpdeEtd5KC8v9zi3qskkVh1ee43ohhtEH8P77xMdO+ZYpC8tJfr2W9HB2KYN0Y03ivqt\nX08kp+/XbDbTBfvijhNlZWUeQxgKAtHXX4ulJ/vQJwaDQZYm1aNHj14XM80dOnSI4uPj8+g6MBZ3\nde7cmcubNGPGjEYV7GXfPrEEkZxM9OGHji0ZJpOJli9fLknulStX3I48XbRokcNXzmwmOniQ6K23\nRMfhTTcRvfCCWGVJSBCdqnPnilUXf70vZrOZvv32W7cv5JIlS7x66U+cEP0mL7wgVpPKyspo2bJl\ncqsrGV6Dc/78ea7ASHq9nhQKhdGffotAGYtxo0eP1km+EiSGq+chMzPT79G1TSbxyzxggPhizpvn\nWN+2Ul9f75cAup4eWEEQSxczZxKlp4s+j4YIxBB1X6ipEVuFevVy9M3IAe/LPmXKFC7Hq9ls5u77\nc8stt1QDuJMas7FISEhY++WXX3JdCF5KS0u5b4a7WAZardiaccstRLffLrZyBKIQlJmZSRcvXvTb\nTPGejEVeXh7df//9lJKSQt27d6fU1FSvZH766adUUFBA2dnZknQSBKLPPxerJd99J0nENRQXF9PC\nhQu5ZIRCr9uRI0dqAbxKjdlYqNXqfB6HV6hUPw4dOuSwbjQSzZ5N1LKlWKTfvbvh4rycnXiys7Np\n9uzZQWlKLCwspMzMTCISS32dO3f2qmetTqejnTt3cvsbjhwRS2///GcprV+/iUsWEXn0AwUKQRC4\nnvWZM2dSfHz8OmqsxgJAXFRUlJHnZkyaNIm7W63cZGQQ9ehB9MADYkuCNxgMBlq0aJF/FQsSI0aM\noF9++SWgeVZWin6hHj2yiDPomixUeDvgxQ0nT56k77//XnL6w4cPU2JiYjY1YmNxV5cuXbicm7z1\nyTVr1tDly5e5ZFgpLCR69lmxpeG77/znGPSEXq93mEqQSGwClPvr6K3PIjs7mzp06ODRr1RUVOQw\nZWJNTQ3NmDGDV0USBKJZs0RHMm8raElJCVf6VatWSepfYkUQBK5nXa/XU1RUlN+cnIEwFuNGjhzJ\n5dzkRavVct2E0tJSWrVqDc2eLdaV33mHiNPfykVmZuY1bfs5OTmyd1/2xljU1tZSv379GuyvkJWV\ndU3VQ87qZXp6HbVrJ9Bbb0k34HPnzpVNn2DRqVMnvzk5/W4sEhIS1jsPCvIFrVYb9Alut2/XUkpK\nJT3wANGZM9Jk/PDDDyHje5ELo9FIDz74IM2ePTvYqtAPP/xAn39+im64ITDOZX+h0Wi4npNBgwbp\n/eXk9HvwG8ZYv8GDB0tOv3XrVly9elVyerPZbC3h+ExRETByJPD88yqMH98E27cDUqe6aNu2LSIj\nI6UltqDRaLwK3DJnzhxZZtBqiNGjRyMlJQWvvfaay/1lZWVYsWJFg3K+/vprmEwmLl2GDn0ES5d2\nw+TJAOdl5iI7O5sr/bZt27hkPP744zGJiYn3cCnhDn9YIOsCIEahUAS15+bPP/9M+/fv9ymNtZWj\neXOit98WglrlsGfhwoVeVTV4h18bjUa6fPmyx8Ase/fupYiICOrVqxf17t2b+vTpQz/++KPDMfX1\n9V61ehQWFnI7sFetIurXjzwOmfcG3jlzV69eHdRYKYcOHaKkpKRL1NiqIQA6NGnSJLCTO7jAF3+F\nfSvHmTOih3nr1q1+1C74GI1Gmjp1qu06aTQaWrp0qc1YmM1mGj9+fMh2i9bpiDp0INq503yN49dX\n1qxZE7Ln6Q2FhYWkVCprqREaiz/dcMMNXMaC10PtLe5aOcxmM1cd0mw2B22eTIPBQJMmTXK5z2w2\nO/iCdDrvfdA5OTluB+QZDAb65JNPfFPUwhVvxtq7YMoUsQmViGjdunWSZIQSPM+8yWQixpgZQDQ1\nMmPx2ODBgyW76HU6HfH2/Gyom7h9lcMfrRxms5m7/f3w4cOSXyR3PQuXL19Oubm5kmV6GiYutTfj\nkiVLfE5bXCxG2uIdoCcnp06d4krP2yqTlJRUB6AdNTJj8a8xY8b4b3rrBtBqtR6/6s5VDlcEuyWG\nSOysw9uS4lyS8AZv+1lkZWUFLSDN2LHiCFs5OXDgAFf61atXy6SJNLp06VIF4HaS+X32a2tIZGRk\n29atWwdtinSVSoV///vf12y3tnI8/TTw4Ydw28pRU1PDPfEyEf+sad27d+duSSkrK8OLL74InU7H\nrY89RISMjAzMmjUrIC0w9pw9C6xdC3z0keP2HTt2cMmtqKjgSv9///d/XOl5ad26NQPQRnbBclsf\n+yUxMXGdtwOMXFFYWCjrAB3HVg7/d6ziqb/7A57ehYGioKCAjh8/7tWxQ4eKAXucCXaQJV40Gg1X\nB7uHHnpID2AsNaaShUKhaNupUyfJ6dPS0rhm46qsrLT937MH6NsX2LQJyMgApk4F1H6e6igqKgrv\nvPMOl4wZM2bIpA3QqlUrAEBxcTH39HuAODOX3m7moLKyMu6vcvPmzb3S7ZdfgHPngFdfvXbfvffe\ny6UDL+Xl5cjNzZWcPi8vD8eOHZOc/o477oiOjIxsK1mAG/xqLMxmc+vWrVtLTv/SSy9xGYvly5d7\nXeVwhbv5R32Bt/rw8ssvc6U3GAz48ccfHbbpdDrs3r27wbQNzXW6fft2h6pHZGQk9u/fL0lPK1FR\nUbjttts8HmM2A2++KRp8zlkwXVJeXo5Tp05JTm8ymZCXlyc5fdeuXb2eDc4Vbdq0YfHx8TdJFuAG\nvxoLvV7frE0b+atO3iB2CHwNPXoArVuL9dsnngB8sT2ff/45lw719fVc6QFxTkweNBoNunbt6rDt\nxhtvBE+vWitPP/20w9yjSUlJGDZsGLfchli2DEhIAB57zPX+yspK7N27V7L86Oho1NXVSU7fsmVL\n3HXXXZLT89KmTRtERES0l12w3PUa6wIgmjFm5vE5SI0m5U0rRyBw18fBWwIRUOXXX3/1abRqcXGx\nx5iaclBUVOR2uHttrRgz1Cm0iAP19fW2WBuNFZ5IakeOHKGEhIRcakQ+i+SEhAR9RIT0LLZs2eLT\n8UVFwLPP/l7lWL26XPJYDjl4//33udJPmjRJJk3ck5ycjCtXrnh9/MWLF9FQafHHH39Efn6+ZJ2a\nN2+O9u1dfxinTwcGDgRuv919+ujoaPTu3Vty/nLA43MAfH/27WnZsiVMJlMClwKukNv6WBcAHZOT\nkwMyqsJdKwdPSwwRBX3GKt5ux5MnT+ZKLzUGZ3V1tV+mh7x6lahpU+8mVeKFd25VOaYYkEpJSQkp\nlUoNBbpkwRibyRgbZ7f+E2PsS7v1GYyx/7hIquBxTnqLp1aOcePGeU7sASLCokWLJKcXBIG7TwPv\n9Xv99dd9On7t2rUuWyJKSkrwyy+/eC0nISEBTZo08Slvb/jgA+Cll4AOHRo+duPGjbLn7wsjRowI\nWt5RUVEQBMErzzpjzMwYO8YYy7T8vu324IasCYDHAay2/GcAjgDYZ7d/P1z0FgOQ0rx5c67hd3l5\neW73FRYS/eMfwY1Y5Yni4mKuEHq8Y1KkkJub63LEZF5enixzdPiCc5j/Y8fECZS8LezJMclRMOHx\nWdTW1lJkZKSBvKsB1HhzHHnps9gPYIDlfzcApwDUMsYSGWPRALoCcFVBU8THx3MFKdi6des120wm\nIDUV6NEDaNPGfSsHEaG8vJwney5atGiBf/7zn5LTnzx50uX5e4vlQfCJdu3aITY29prtN9xwg0Or\nhzfMmzePK0aFfWsCkdhU+vHHYiuIN/Tt21dy3nIQTJ+FQqEAxA+7N3hffPXS+lwGcAOAFy3LBAAP\nQTQiu92k6dupU6cqyebRBadOed/KYTAY6PPPP5ecl8lk8luI/UCwbds2rqkaP/roI3r99dclp6+s\nrJSlNcdkIlqwQJzCMJAxm3l9FmlpaTJp4jtGo5EYY2by7t02QfzYZ1p+n3B3rLdNFfsB3GUxDgcA\nHLRb3+fOYplMJpvV2rVrl0MnHynrK1bsQnKy2LGquNjz8fv27cOtdk0hvua3efNmTJ48WXL6HTt2\nYNu2bVzny7OuUCgc/A++pj9z5gy2b98uWYcmTZogIyNDcvqyMuDFF3ehbdtdWLYMWLoU2LvX+/Rp\naWlc15AxxpV++PDhAb/n9utE5G2JQUtEfYmoj+V3rdsjvbQ+YwGkQvRXMABJAH4B8D2AYW7S9GzV\nqhVXRdfZZ2H1hjeGGIsXLlzgiq1gNpuDPv1BMGYkO3yY6LnniGJjl9GoUQIdOSJNzrFjx2TVK9B4\n8tc1hE6no4iICBMFwWcBiCWLYQCsgRkqATQB8CfLPleYoqKiuIYhOtfZ27YFWrYEvKkOEhHKysp4\nsufilltuweOPPy45fW5uLtasWcOlg6+jQMvKyhxKI9Yux+Xl5T6PJZk1a5bXx9bXAytXAnfeCfzt\nb0BKCrB7991YsoShXz+fsrXRp08faQll4ujRo1zpefxVJpMJkZGR3t582X0WEQCqAEyw27YEwBkP\naTq3bt1a9kr/uHFE3gzkFASBO0JVVZWsLpeAM2HCBJ+OX7ZsmctWjytXrvgcWtCba5ebS/Tee0Qt\nWhANGUKUlhY6pcbG3M+isrKSYmJidOTdu22Eo89isttjvREoZQHQsVmzZrK3t23aRDRwoNxSXfOZ\nq/HPPhDo5kZneDt1+aMaIghEO3YQPfaYWKUcN47IQ9Atyaxfv54r/S67CZEaG6WlpRQTExP4Tlkc\nGOvr67mGXLqaAuC++4DDhwGOcT5e88Ybb3Clnz9/Pld6rVbLld6bTl3FxcU+hZ4/duxYg1USo9F4\nzbbaWuDzz4Fu3YBx44DBg4GcHLEZvEsXx2MFQcDixYu91skVHTt25Ep/3333caXnhWf6i/r6ejDG\nGp4zwkf8aSzKdDpdtDfzXLjDeWg1AMTHiz02MzIaTl9aWio5bzl4+233neG8Yd68edZSmmRycnI8\n7j937hxatGjhcp+rYdJNmzbFpUuXPMqcOnWq7f+FC8C//y32ukxPFw3GyZPAyy+7jyciCAIefPBB\nj3k0RLDHhhw5coQrPY/PoqSkBEqlUv5ORnIXVewXpVKp8Ud07okTibzpAsAb+LS8vJwrfSiwcuXK\ngMfHtFZ/KiqIkpKIPviAiMO5H3A0Go3Pc83YIwgCbdrEP7O7VLZs2ULNmjXbT42oGoLo6OjKgoIC\n2eUOHiz2tWiIf/3rX1z5rFy5kuvLrtVqHSJJBYNnnnkGMU4RYoqLi5Gent5gWvs2fFds2LDBZZXE\nWv1ZuhR4+GHgf/8DbrjBa5W5OXDgQIMlKk8YDAbEx8dLTs8YC0hcD3fk5eXBZDJJj77jBr8ai4iI\niJLCwkLJ6XNzc12+rP37A1evAhyivWLcuHFcg7nOnDnDXRyVy9jaX0edTofbPY3x9pJ+/frZAvwQ\nkUNTryAACxYAr7zim0yz2exTs6srWrRogZYtW0pOn5SUhO7du3PpwENtba1DSEhfOX36NGk0miwZ\nVQLgZ2PBGMvmedj379/v0smnUAD33y/GYfREbW0tamtrJefPS//+/XH33Xdzyfj5559liZe5ceNG\n/PbbbwDESFnejPVoKLRb+/btbV9gIkKvXr1s+3buBJRKYMAAd6ldExERgTFjxviWyImbb74ZSmXQ\ngsrjxIkTXCOOz58/z1Uy0mq1erPZLN1D6ga/GguNRnOZp2Tx1FNPuX2ovamK5OTk4MSJE5LzB4Ci\noiKu9Lw8//zziI6O5pZzzz33cJdyPDFnzhzccssttnVrqcLXghljjKsKIAc8g7gAsZrHc8/69+/P\n5aDNzc01ApC93O1XY2E0GvPPnTvnl0r74MFiycKTS6F79+7cX/YNGzZwpS8qKpJ9rg4pJCYm2uaz\nKCws9MoX05DPAgBmzpwJg8GA559/3hacOD9fbPl45hnfdKyrq+MuRR07dozbKCYnJ3OlHzJkCHeg\nZh5yc3MJgOzOQr8aCwAFFy9elNzlm4iQleW66nXzzWJk59OnJevmFWPHjuVKn5eX12BTY0NUV1fj\n8OHDXDKioqJspbTc3FwcP36cS56Vl19+GdHR0UhMTLRt++or4KmnxGZuX0hLS+OqqwNAhw4d0K1b\nNy4ZcvhzeHD3zHtLfn5+DBpbyQJAoUajkRzUgDGGDDcdKhjzririS3xJf3DbbbehR48eXDISEhIk\ntaoYjUaXcTzvuOMO29gJs9mMjIwMlyUNVz6L8+fPOzgyneNf1NcbMWvWZEixsU8//TSXYxIAmjVr\nBpVKxSWDB4PBgAMHDnDJ2LNnj+S0lght0QDkrz/L3RZrvwDo2Lx5c7/1ef7uO6KHH/Z8zJIlS7i6\nPev1esrJyZGcPtg0FFPCbDY7dG2uqKigzZs329ZLS0vpiy++sK0bjUaP13P/fqJu3fwfldwVvN3b\niYjWrFnDFYejvLw8qCNei4uL/RJ/k/zdzwJAYWVlpdJV9185GDQI2LtXHLXojlGjRnE1f0ZGRmLf\nPnchO7yjtrbW1hLBAxF5FX3KvhTSUHT1iIgIh67NarUaKSkpAESfRZMmTTBq1CjbfoVC4fF6btwI\n/PWvYp6CIHjlg7h48SIyMzMbPK4hZs2axT0xVPfu3Ru8Zp5o2rRpUEe8XrlyBTExMX7puuxXY0FE\nepVKVXb27FnJMgoKClBVVeVyX7Nm4rgCzlKfRxQKBf7+979zyYiLi0NxcTG3LqWlpV4FEU5NTZU8\nSXFUVJTDuAqFQuGTZz8tDbDGqi0tLcWKFSsaTENE3H4GAHjttde4J2WyGspgkZ2dzeUQtzil+ZoA\n3ewZTugAACAASURBVODvkgUUCsVBHu90VVWVx3kjvfFbnPa3F7QBIiIiZJkBrEWLFnjppZcaPO6d\nd96RxRvv6xR6588DGg1sMShatmzpVRzSzp07y9I8HMwWCCs8YzoAIDMzk+s8Lly4oK+urm64e64E\n/G4sqqqqMg4ePCh5Hr+UlBT07NnT7f5AGAsi4nZayYW7KkBpaWnQm2jT0oDhwwFXpfiioqJrqiTn\nz5+XpcMZAJ9Gzrpj7ty5XOmJCM2aNeOS8dhjj3EZzv379xsA8EXecYPfjQWAo+np6fI8ES4YMECM\n8O1p8u4nn3ySKw/GGGpqarhkAMCyZcu4h51b+eyzzxyqGjt27ADPCF9XeNPPwp6NG3+vgjij1+uv\nadk6deoUoqKiJGr3OzU1NbL4PHirm4wx3HHHHdx6SMVoNOLixYsqAPK0izvBiHMIdIMZMJagUCjK\ndTqdwhKi3GeOHj2K3r17uy2ePfww8M9/iiHZQpny8nKo1eprBnZJQavVugzbLye7du3yuipSXAx0\n7Sr+ylCj+ENSWFgIs9mMGySOujt+/Djuueeegtra2rYyqwYgACULIqqJjY0tOXPmjGQZ9fX1qK6u\ndrvfm6rI7t27JecvF82aNZPFUABi/4aSkhJcuHBBFnmu8MVnsWkT8OCDDRuK6upqtzOfBRNefcxm\nM1auXMklo6ioiKvl7siRI1AoFAe5lPBAIKohiIiIOMwTwHTAgAFo2rSp2/3eGAuprQP2rFq1Spai\nPs+kwfZcvnwZzZo1w5QpU2SRx4OnKog9p06dwi233MI1UMoKEWHJkiXcciorK7mmqgTE5+vee+/l\nktGnTx+0bSu9UHDw4EF9VVWVF2GhJOKPzhvOC4A3nnjiCb9FYBEEcWq7S5f8lYNIdnY21dfXc8tZ\nsmSJLHKsyNEZyRXexuCsrSWKjycKdHxjQRDoSiBmSW4kdOrUqQbA3eSn9zggJQsAR48dO8ZVzktP\nT3cZ2xEQu37/+c/eBcTh4cYbb5SliW/UqFGS5ZSUlGC704lai65ms5k7BL0Utm0Tw/jbDQ9xYNOm\nTW47pX333XeSqwCMMXTwZpbkRkBWVhYuXrwoOb3RaMSVK1f85twEAlQNAZCZm5ur5Jn7Mjk5GXUe\novR6UxXZtGmTLK0aPOchR94D3ASJiIiIQFFREVd0L3u89VmsXAk8+qj7/Q8++KDb5u8BAwZIqiKe\nP3/e5zSuOHbsGPf1OnjwoFeRxzxhMBiQlJQkOf3p06cRFxdXSER8XVg94a8ii/OSmJh45cCBAzIX\nvH4nP1+M9+hp3onCwkLuuUBMJhNNmjSJS4aVZcuWUW5uriyyXJGXl+e3KoqVffvEmeztJ18XBIEW\nLlzot1ngq6ur6YcffpBFlhzzexgMhqDPHjd79mwhISFhFfnTneBP4fZLdHT09FGjRvn1inbrRnTw\noD9zEJHrBTQYDF4NWqqoqKCvvvrKZ/kHDhygkydPSlGNiBr2WQgC0Z13Ei1bdu2+oqIin/ObPn26\nLJMp/xHp2bNnLYBHyY/vcKCqITAYDOt/+eUXrkA4Bw8e9NhU6G0gX+IsdvI0b9kTFRXl1aClxMRE\nPONrJBkAd955py2WJBFh3rx5snbcWrtWHMT3j3+I3ZwPHTpk2ydlqPnYsWM9Xg+j0RhyTa4VFRXc\nz9OWLVtQ4alXYQNUV1fj7Nmz0QD867XzpyWyXwBEqlSqmqysLMnWs6amxuMXa8sWonvv9SxDq9XS\n9OnTJetgpaSkhE6fPs0th0gsVn/zzTfXbJe7ClFWVuaQ56+//ipZ1tmzWdSy5Q/EOcufW1yd++rV\nqyk7O1sW+cuWLaPS0lJuOampqdz36eLFi1zpV69eTU2bNt1D/n6H/Z2B/ZKQkLBq9uzZfqtEazRE\ncXFiU54n5KhfmkwmWae4KygouEb+xIkTZZPvjE6no0OHDtnWs7OzafHixbb14uJih/k+L1++TMvs\n6huffFJLf/mLzm+6TZ482S+yrVRWVvpVfiD529/+pgHwEvn5/fV7d297GGMjunbt+s3Zs2cbDi0t\nkYEDgbfeAoYO9VcOgYOIZKvy+IpGo8HmzZvx1FNPXbOvvFzs2r1nj/jrD+zPva6uzqto5H9EjEYj\nEhMT63U63c1EJE9vPzcEzGdh4ZfLly8r3MWn8AaTyeSxx6K3fousrCxZ6u9E3gWk8ZbNmzfj5MmT\nAOTzjUhBrVajVatWLvf973/Ak0/6z1AAv597dnY2vv/+e9nkXr58WZbm88LCQllCH7gKe+gL+/bt\nQ1RU1FV/GwogwMaCiOrUavWhn376SbIMhULhccLihx4CvBFfUlKCy5cvS9bDSlVVFRYsWMAtx8r5\n8+fRunVr2eTx4KqfxcWLYr+Kjz8OjA4xMTGyGs3Tp0/LMgCvoqLCrTH1Bd75cNevX2/Q6/XfcCvi\nBQGthgAAY+zFRx99dOb69ev9Uq4UBKBNG2DfPjECeGNGEASuEG/+4PHHgdtuA95917/5ZGZmBjU8\nXWOAiNCmTRtNUVHRPUTkt56bVoLxJG7eunVrNG9cTncznUVEiEPWXUzAHrKUlJS4nDktLS2Ne5Ik\nHpzjWezZAxw5Arz2mn/zra6udjklQF5enuSmUznjwMrxgdXr9Sgv55vo/NSpU6iurjbCT2H0nAm4\nsSCiAqVSednXwCrO7Nu3z+3F9sVYLFu2TLYHaf78+ZLSZWRkuCxBPProow5TAgYTQQDefBOYPBnw\nd6T9xMREDBo06JrtZrNZcsSyqVOnyvKSFxUV4auvvuKWc/ToUfDM1gcA33//vTkiImI9Bap64O/m\nFpdNMIy9MmzYML9NEVBRQaRWE2m1DR9bWFgo2wjQ4uJiWeS44siRI3T58mW/yW+IVauI+vcn8lcH\ny+zsbFq6dKl/hMuIIAhB79pNJDatt2jRQgOgPwXovQ2KsQCQEBMTo83Pz5fx8jlyzz1EW7f6TTw3\nRUVFPnXF1uv1dP78eT9q5B6djqhDB6Ldu/2Xh8lk8qlz0549e2Qd5t/YSEtLo4SEhLMUwPc2KN4z\nIqpRKBRrZsyYwdXmSERuJ7H9y18AXwIt5+Xl8ajiwJ49exosYubl5TmE3G+ImJgYdO7cGYDYfCzX\nqEtPWKuKc+YAffoAnLFdrmHv3r04deoUADEyty+tHjfccINbv5WV3377DWlpaVw6WiEi7vljrPBO\nvAwAH3zwga6mpmaqDOp4TyAtk/0CoEdSUlKdwWDgsrD2vRDtOXGC6KabxMFO3rBixQrSelNv8QKN\nRkOX/BiJx2g00rp16/wm30p6ejqVlhI1b07kj0JNYWGhX0fFNjR7mi+Ul5fTkSNHuOWYTCY6fPgw\nl4zLly+TUqmsBaCiQL6zgczMeWnSpEmmvx56QSBq25bo3Dm/iJdEUVGRw9SAcnHkyBGqqKiQXS4R\n0b/+RfTvf8sjS6PR0Oeffy6PMDtWrlz5h6qSvPnmm/VxcXFzKNAf+EBn6JA58FSPHj1kcXS6+oK8\n8ALRzJlySJeO/dyZJSUlpNHI79ctKCigCxcuyC733DmxVME73sp6b8xmM9U2NHBHAlevXrUZC7PZ\nLFu8EStyGSI5Sjk6nY7i4uK0ADrRH8xYRCuVypozZ85wXcCysjKaO3fuNds3bCD68599k7V06dJr\nBnXxcOHCBeKtavnKJ598Qno9f8jTu+5Kp2nT+GQsXLhQ1uvpDXK2Vpw5c0a2Kt/EiRO5DcayZcso\nISHhAAXjfQ1GpvaLUqmc8sorr3A/2a6CptTUiE2ovnzM9Hq9rBGeqqqqaP78+bLJ8wb7B7Kqqoo2\nbdrks4xdu4hatkwnnY8DS9PT02nfvn0+58eLtTXl008/9Xt0MKnIEdinR48eNQCG0x/RWABoHxsb\nq/NH8ZyIaNAgorQ0v4j2CkEQSKfTkdlsliWOhpT87Ztcc3Nzadu2bR7T/PorUevWRN5EnPvtt98c\njJEcJRopTJ06lfR6vWxO6lDk6NGjFBcXVwogkv6IxoKIkJCQsOPdd9/l/hzk5+dfU3efMYPopZd8\nl5Wbm8v1hXT1dfNHfd1XDAYDXb161bZ+5swZWrVqlW194cJzlJCwyWZgz507Rxs2bLDt/+2332jt\n2rW2dZ1OF7Jfch69Fi9e7BAsiId9+/bJUhW977779FFRUR9RsD7swcrYQQngjqSkpDrer0J9fT1l\nZGQ4bDtzhqhdO++bUK0IgkCnTp2SpIfZbKbx48d7PCYUv4BffknUsqWR0tPFUl56ejoZDIaQbWk4\ne/Ys6dzUk+rq6mjq1KmSZVdXV0tO68yOHTu4ZZw9e5aUSqUGQBL9kY0FiaWLHz/99FPZw0ELAtGN\nNxJxxK2VmK9762Q2m2nq1Kkh80UWBKIPPyTq1InIPsKbt5MMBYsNGzZ49C+FyvWVg6FDh2qio6Pf\no2B+1IOZuYMiQNe4uDitHP0FBEFwKPa98goRx0fGIbycJ2pqahrdA2owED33HNHttxOVlARbG/+g\n0+m8Kh3V19fTypUrZctXrlawffv2kUqlqgAQS0F8R0MmWAIRnWOMbRw/fjx3+GbnuSt97frtjEql\ngl7fcGDypUuXShpC/eWXX3olX25qasTwgxUVQHo6kJwccBV8QhAETJgwwfpx8ZqysjKsX7/eK/n3\n33+/VPWuYdq0aT7r6gwR4YUXXtDq9fr/EpFWJtUkEfDgN55gjN2gUqkuXLp0SdWmTRvZ5Gq1QMuW\nwNWr7qfYCyYVFRVo0qRJQAPdFBSIhuLOO4G5cwGF4tpjdu3a5dNM6oGAKHhxSYPBtm3b8Pjjj+dr\nNJobiSh4U+EhOMFv3EJEVxljX3zwwQeyfmZjY4G77+afC7WqquqaOTuLi4u55nwAgKZNm9oMxbFj\nx1wGwpGTM2eAAQOA//s//P/2zj0oijvb499mGJgniJoo7K4alWjEbDCioi5ufGyVm6iJ5Vox7r1r\nks1691aurrqPW1l3o4lhN9mKMY9SY1SM8YWiQTEJchVEBcUXEpWATwTXjIMDw2OmZ5hHn/vHABkQ\ncB7d0w32p+rU1G+GPr/TTP/O/J7nYN26jh2FVLh7926bGJzBOoobN27c1/vbv38/LBbhsv4FCsdx\nWLx4scVisSwR21EAEnMWAMCy7KqdO3dSeXl50LqICBs2bAAQ/FAEAKKiomAymdq8d/r0aURGRgan\n2Iu4uDhUVVXxpq89x48DkycD77zjCY3XVduTQq9Co9Hg2Wef5U2fQqG4L3l0QkICdDodL/pdLleb\nIXAwbNmyBd97jtbyF7E4GMScMOlMIiIi/jZz5kyv7JmB0xIz49o1ov79/V9CFRO73R70CUVv9uwh\nevRRoiNHeFMpCAcOHAj5FnG+cLlcAaVubI/D4aB+/fpZAUwlCbRJktIEpzcOh+OD3Nxcx7lz54LW\n1TL3MXQooNcDJTyENa2ursbOnTtx8+bN4JV1gVKp7DAWZSCsWeMJi3f4MDB1qm/XBBv6MFCSkpIE\nj3B+9OhRbNy4kfd0iAqFIqDUje3ZuHEj2e32EiLK5cEsfhDbW3UmCoVi4YgRI6x8ndPIy8ujRYtc\nxMeBxJKSEjKbzRTsATh/ycvL8ztlostF9Ic/eJJG+5uwPVT7LK5evdpmF2koqK2tpYqKCuIrWtu9\ne/fowoULvOgyGo2k1+tZAKNJAm2xRUQ3oFPDgDCdTnc+NTWVF29RVlZGu3cbacIEPrSJg9PpbJOf\n80F7OliWaM4comeeIZJatj7vre/+htQLBqGytJeUlFBdXR0vuiZNmmTTaDQhj1fxIBHdgC6NAwZr\nNBprWVlZgP/2tthsRHo9USBb/o1GY5szEt7k5uZSQUFBkNb5z5o1azrN2WkyEU2cSDRvHpFIZ7s6\nheM4Wr16tWANtzMOHz5MJ06c6PCztLQ0SWxrz8jIIJ1OV4UQR8HyRUQ34EGiVCoXJSYmWvgajvzy\nlxZas8b/kHdms7nLwDViR3y22Wz0/vvvExFRRQXRsGFEf/lLcNG4+RyGbN68mW7dusWbPr4xGAwB\nhSa4ePEib72i6upqio6OZgGMJwm0vfYiyQlOb5xO59rr169fefPNN9186JsxQ4XMzIsP/sN29OrV\nq8vkvOHNmxWMRiOvCW18RaVSYdGiRSguBiZOBObPr8L48fshVkKznJwcnD17trX86quvYuDAgSG3\no7a21qfgxv3794dCofBLNxHhypUrvG0Smz17tt3pdG4iosCSowiN2N7KFwEwWKVS8TIcuXXLEyrO\nlx+RxsZG+vDDD/3Sf/36dToi0tpkdjbRI48Qffmlp6vvfcT68uXLtGfPHl7r8x5GHDt2rM3pylBH\nB+uMkydPdjpU6wiO4yg1NTXkZ3wyMjJIq9VKcvjRIqIb4KvwORxJSCAqKiK6cuVKl+NmjuMkMY71\nhc2bifr1I+oqBId3Azh//jzt94puc/bsWcrKymotl5SUtAmSc+bMmTZBbk6dOkXZ2dk8Wc8/wTT2\nB33ndXV1vK2iEEl/+NEiohvgs6FAmF6vP/vHP/4xaG/xpz8RrVjhGW92lOiHr4m3mzdv0rZt23jR\n1RkcR7RypSftAZ+RzO12O+Xk5PCnMIRs2rSJKisredHV0bNw6NAh3gLjELWufnxEEmhnXYnoBvhl\nLE/Dkbw8ojFjOv6M4zh66623eOuGCtkddziIXn2VaPRoIh42Dd6H1ONZCE19fT2tXr1a0Dqahx//\nlvLwo0VEN8BfUSqV/zN8+HCL1Rr4bvCmJqLo6LYN7NSpUwHr8wWO42jHjh289VoaG4mmTyd69ln/\nAhL3RNxuN61Zs0bwhEV8br0n8vQ8o6KiJD/8aBHJr4a0x+l0rr19+3b2rFmz7ESBHa+PiPBsec7J\n+eG96upqWK1Wnqy8H4ZhMGbMGF5mzu/eBX7+c+DHPwYOHAB4OgPVbQkLC8Mrr7wi6NH1srIyXg8M\nWiwWTJ061Wq32/9KUl39aEe3cxZERFar9T+LiooqUlNTAz622/4UqsFgEDyeRHx8fOsDXVRUhJqa\nGr91XLniOV7+wgvAZ58Je7xcrLMhvlBRUYEjR460lqMFDlQSHR2Nq1ev8qKL4zjMnj3bVl1dneVw\nOD7iRWkoELtrE6gAiNNoNDUHAozzf+cOUUwMUfu9VBzH0datWwVfOjOZTHTNO+ClDxQUeFY8tmwR\nxqb2SHnOwmg0Cr5SZbPZaPfu3bzrXb58uUOv118AEEkSaEu+iugGBGU8ME6j0bAXL1709XtqQ0KC\nkZYsMdDWrUT79hHl5HiWHr/66jpdu8bR3btEFovwx9qbmpoe+FDu3evZQ3HokLC2SJl169aFNC8J\ny7IdLpGWlZUF7Ki2bdvGaTSaewD6kQTakD8iqbB6gaBQKH7Tu3fvT8vLy9V9+vTx69p//vMQbtxI\nQVOTFhYLWsVqRZuy3Q5otZ65gZbXjqSzzzp7PyLiB1uuXbuG+Pj4Du38+GPgX/8CDh4ERo0K5r/V\nvamtrUXv3r3FNgO3bt2CyWRCUlKSX9eVlJRg/PjxdrvdPpGIigUyTzC6vbMAAJ1O99FTTz31Wn5+\nvkapVPKml4jw9ttvY/nyN8GyzH1OpDPn4sv7jY2eKFUdOZKmphOIjHRiyJApqKvzhMHLzgZCvVta\n7Bicubm5UCqVmDRpUsjqrK+vx+bNm7Fs2TJe9VZXV+PJJ59k79279yrHcbt5VR4ieoSzYBhGodfr\n8+bMmTNuy5YtXU5ZG41G3Lp1C+PGjfNJN5FwAWIdjs6dS0ODGyyrQFMT8ItfVGPYsEcFsaErQu0s\nOI7D1atXMXz48JDV2RH+fOc5OTmYPHkyIry7ie1wOBxITk62lpeXr2VZ9n/5sjPkiD0O4ksA9FKr\n1XfWrl3b5UaG0tLSLk+PdsW5c+cCui5YMjMzed1eLFWMRqPPOVr4hOM4On/+fEDXVlRUUHUXCVc4\njqNZs2bZdTpdLoAwkkBbCVREN4DXmwHiNRpN7fbt2wWZkvz6669FP4rucrl43WEqJhzH0apVq0Q/\ndHbnzh3eN1wRee5v8eLFTXq9vhSAniTQRoIR0Q3g/YaABLVaXbdp06bW1mQ0GnlfApNKY71z5w59\n/vnngugWYuk0LS2Nt3MbwcL3d7hhw4Y2jm/ZsmVNOp3uKoDeJIG2EayIboAgNwUkqlQqS8spSovF\nEvDQozM+/fRTyQwNvJMDl5aW0t69e3nRy4ez2LdvH3kvbfMVxChYCgsL6RDP69DV1dWtDujvf/+7\nQ6PRVAF4hCTQJviQHjHB2REMw4zVaDS5+/bt002fPl1sc0KK0+lEy6rQuXPnYDAYMHPmTACeVH4K\nhQIxMTG81GUymeByudC/f38AQHZ2NmJiYpCcnAzg4csgBgDvvfeea9WqVUar1TqGiAxi28MbYnsr\nIQXABLVa3fjFF1908DvAH4WFhVRUVCRoHXxRVlZGZ86caS0fP368TbCeY8eOdVnOz89vE+SmpKSE\n+IqRKjS7d+8WvDe4ZMkSh0aj+TeAH5ME2gCfIroBgt8gMFalUjXu2bNHsEkGjuP8isbUXZDydu9A\nEPI74jiO3njjDYdGo7kNIJYk8OzzLd3uIJm/ENEZu92e8vLLLzds375dkDEXwzDo1asXAM+aekZG\nhhDVyPiJw+HA3r17W8st3xHfEBGWLVvm+OSTTypZlh1NPWno4UWPnbNoD8MwCWq1umDp0qVRqamp\ngjrJ8vJy0TcWyXjmbqqqqjBkyBBB65g5c6azsLDwmsViSSGi4LJkSxmxuza+CoDlAC4DKAFQDOBN\nAJlen78B4JpXeQaAA+10DNVqtbdee+01e6jW9g8fPkwGgyEkdcl4QiWWlJSEpC6TyUQTJkyw6HS6\nYwCi6cHP7rfNz+5YAEcBlDeXLwDY09n1UhHRDfDJSCAZQCGA8OZybwADAHzv9TcHAJwD0Le5/A8A\nf+lAV5Rer88bN26cxTu7l1A0NDR02yS/3XHO4saNGyHZOHfp0iWKjY21ajSaNQAU5N+zGwsgD8Co\nzq6TonSXOYtYACYicgEAEdUSURWABoZhBjf/zY/gSU0/obk8AZ4vqQ1E1NDY2PiLS5cufTZ8+HD7\npUuXBDVcr9e3Jvl1Op346KPuE+ukO2CxWLB+/frW8uDBg1tzuAhFVlYWxowZYzcajb+3Wq1Liair\nnDYdPbsGAAy6W/Apsb2VLwJAC09XrRzAWgCTmt9PA/AfAB4HsBPAZADvAlAAMAOI6EovwzDztVqt\ntbO0hELQ0NAQsroeBtxuN+8b7jqjOZizQ6PR1AAYS8E9u0cBlMEzDCkG8J4v+sQU0Q3w2VCPJ54E\nYCWA7wEsAPAagPUAXgawCIAOQD6AJAAnfdSbpFara15//XVHqLdwFxYWSjr3hlT57LPP6Pbt2yGt\n02q10jPPPGPT6XSXAMRR8M9uHoCn/dEjtohuQEBGA3PgmaMYDs+k0QYASc2fFQH4E4D3/dAXq9Pp\nLs2aNcsaql+pjigsLKRgopbzjVTmLKqrq+nbb78Vrf6qqioaNmyYRafT7QWgouCf3azu6Cy6xZiJ\nYZjHGYYZ6vVWIoBKIioHEAfgZ/B09QDPasnv0cF8RWcQkcFisYw5evTowVGjRlmLi8UJYhQdHQ2W\nZb3tEsUOKeB973V1dejbt68odnzzzTf46U9/aqusrHzbYrHMJSK7P9d38uzeavmYLztDgtjeykdv\n/DQ8jb9l6XQvmk/yAfgKwDGvv10AwI0AYhwCYBQKxcLIyEj2nXfecYp5HN3tdveYo+j+YjAYaN26\ndaLaYDab6cUXX2TVanUNgCnE87OLtnMWFwD8X6B1hEpEN0CKAmBAVFRUQUJCguXy5cskBQwGA61f\nv15sMwShxTHylYApWL755hvq06ePVafTpaEHxKHgS0Q3QKoCgAkPD18YGRnJrlixQtReRkdcvHiR\n9u3bJ2gdQs5ZfPzxx1RbWyuY/kAwm800Y8YMu1qtvgdgKkngOZSShLQylUp1FwB1Zxk4cOCDn7oQ\n4f1LXFBQwHsiYz6dRVpaGlVUVLSWpdKLaCE7O5v69Olj1Wq1cm+iEwnp2RCGYSiU9QkBwzBwOp2C\nb/wJliNHjiAyMhIpKSkAgOLiYvTu3RuDBg0SpL7i4mLExMTgscceAwCkp6fjqaeewhNPPCFIfXxR\nX1+POXPmOE6dOlXPsuxLRJQrtk2SJZSeyVNd9wYAJSQkWAoKCsQ2xS8MBgPd9coEnZWV1Sbu5IED\nB+4rewcobl/ev39/myC3N2/epPr6eqHM5x23203p6enUt29fq06n+xxyb0LuWfANwzBgGGaBWq1e\nHR8fr9u+fbtq5MiRYpslCGLnDRECIsLBgwexePFi1mw2VzU0NPw3EeWLbVd3oFvss5AaHMd9wbLs\nTy5fvvy3sWPHNr700ku2yspKsc2SeQBnz57FxIkTLfPnz79TWVm5oKGhYYTsKPwglN0YhHgYMn36\n9NaQbzdv3qTJkycHrbP5HrzvKUqtVv8jMjKS/fWvf93UVQ4JGXEoLy+n5ORkm1qtrg0LC/svAEqS\nQLe+u0mPdhalpaX03HPPERHR3Llzqbi42G8d7TdFtXcW9MO99dNqtRu1Wi27YsUKp3xgTHxu375N\nCxYssKnVaotSqfwrAA1JoNF1V+nxcxZLly5FWFgYLBYLNmzYgNdffx3l5eUIDw/H1q1b0b9/f8yb\nNw9GoxEcx2HXrl2Ii4vD008/jZSUFNTV1WHr1q3e9wAi6nSbLsMwg/V6/ftut/u5t956K/y3v/1t\nGF+RtENNd52zqKysxIoVK5zp6eluhUKxjmXZd4jILLZd3Z5QeiZ00rMA/Bdfqauro0cffZRMJhPt\n37+fVq1aRUSeQ1tLliwhoh/ybmRkZNDKlSuJiGjAgAEdJsNBJz2LDu41MTo6er9arbbNnz+fFSLj\nldBI5SCZL7jdbjp48CBNmzatUaVSWTUazToAPyIJ/CL3FJHEZgESsLMRHR2NgQMHok+fPvju0C/h\nJgAABRdJREFUu++QkZGBvLw8cByHIUOGwO12Y9myZfjuu+/AsixGjRoFAHjkkUcwYMCAgOslohIA\nLzAM0y8jI2NhZmbm0qFDh4b/+c9/1s+dOxcqlYqnOxSO7tCrqKmpQVpaGvfBBx/YGhsb71mt1lQA\nu4jIKrZtPY5QeiaItM8iKSmJiIi+/PJLevfdd1vfd7lcdPr0aXrllVeIyJNX4ne/+12ba9oDH3sW\n7QWegDyzevXqVaDRaGwLFy5sunHjBu/3+rBw+vRpmjZtmj0yMtIeFRWVAU/4OoYk8AvcU+WhWDpt\nyYg1e/Zs3LlzB1OmTMHUqVOxY8cOjBgxAteuXcP06dNx4sSJ+67hCyJyE1GW2Wz+GcuyT27btu3T\nhIQE65QpUyzbtm1rczRdKuTn54ttQhtMJhPWrVuHESNGNE6ZMqX66NGjK5uamn5SX18/l4iKiKh7\nb+KROD1+gpNvHjTB6acuNYAXo6Ojl9hstidSUlKa5s2bp58xY0ZrOkAxkcIE55UrV5CVlcXt2rXL\nUlpaGqFWqwvq6+vXAMihrmNfyvCM7Cz8hE9n0U5vDIBfRkdHv8Sy7LTHH3/cMW/ePN3zzz8fNnLk\nyIcmX6jL5cKpU6eQmZnpTE9PbzKbzVx4eHimxWLZAyCP/Aw+I8MfsrPwE6GcRbs6IgCkaLXaXwH4\nlVKp1M6fPz9s9uzZkePHj4dWqxWy+pBTU1OD/Px87N69mz148GC4SqW6zbJsusPhyARQ3O0fmh6C\n7Cz8JBTOol19DICR4eHhL+j1+nkNDQ3xffv2dUyaNAkTJ07Ujh49GomJidDpdLzXLcQwpKamBufP\nn8fZs2epoKDAcvLkSaXNZoNOp7tgNpt3ADhInjQPMhIjpM5CrVbftdvt/UJWoQCoVCqjzWYTbUKh\nudeRAGC0Xq+fGBYWlmKxWAbExcXZk5OTwxITE7UTJkxAUlJS0A4kGGdBRDCZTDh58iRKSkqoqKjI\ncv78+TCz2Ryu1+vL7Xb7cZvNVgRPYqjrRMQFZayM4Dw0uU57Mt4ORKfT/UyhUEywWq2PKZVKTqfT\nuWJjY93x8fHMoEGDVDExMeEDBw7EgAEDEBsbi7i4OL+GNUSEuro6GAwGGAwGVFRUwGg0wmAwOKqq\nqppKS0vDGhsbUV9fH8kwjFOtVt+w2+1H7Xa77Bi6ObKz6KE0D19i4MmIFdfyqtFoHouMjBzEMEyc\n0+nsx7JsDMMwUCqVnEKh4IgISqWSi4iI4IgIdrs9vHlrA+N2u8McDodCoVC4NBpNTXh4uNHtdn9v\ns9muNzU13YYnJ4ah5ZWIGkX7B8jwjuwsHnKanYoWgBJAeLMom4UD4ALgbH51AWgiIps41sqIiews\nZGRkfOKh2MEpIyMTPLKzkJGR8QnZWcjIyPiE7CxkZGR8QnYWMjIyPiE7C5n7YBhmOcMwlxmG+ZZh\nmGKGYcaIbZOM+EgiUpaMdGAYJhnAswASicjFMExvABEimyUjAWRnIdOeWAAmInIBABHVimyPjESQ\nN2XJtIFhGC2AAgBqALkAdhPRcXGtkpEC8pyFTBvIE+j2aQALAdwDkM4wzG/EtUpGCsg9C5kuYRhm\nDoDfENHzYtsiIy5yz0KmDQzDPM4wzFCvtxIByIlcZeQJTpn70AH4hGGYaHhOmV6HZ0gi85AjD0Nk\nZGR8Qh6GyMjI+ITsLGRkZHxCdhYyMjI+ITsLGRkZn5CdhYyMjE/IzkJGRsYnZGchIyPjE/8PwDsx\nUunUnLgAAAAASUVORK5CYII=\n",
"text/plain": "<matplotlib.figure.Figure at 0x114857358>"
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": "<matplotlib.figure.Figure at 0x114857390>"
},
"metadata": {},
"output_type": "display_data"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Now, if the wind had no effect on the Strava segment, we would expect the distribution of wind directions on which riders set their PBs to be the same as the historic distribution. So we are interested in the *difference* between the distribution of wind directions on the dates derived from the leaderboard relative the background average."
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Download Strava leaderboard and obtain historic weather observations"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "#LB = pd.read_pickle('/Users/Gavin/Gavin/jupyter/Strava/610040_LB.pkl')\nLB = strava.get_strava_leaderboard( top=1000, segment_id=9952393)\nLB.start_date_local = pd.to_datetime(LB.start_date_local)\nLB.head()",
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 7,
"data": {
"text/plain": " athlete_name elapsed_time moving_time rank \\\n1 Alexandar R. 0:14:43 0:14:43 1 \n2 Edmund B. 0:15:17 0:15:17 2 \n3 Chris W. 0:15:47 0:15:47 3 \n4 Andrew S. 0:16:00 0:16:00 4 \n5 Patrick Ramsey (. 0:16:01 0:16:01 5 \n\n start_date start_date_local \n1 2017-07-06T18:32:24+00:00 2017-07-06T19:32:24 \n2 2015-09-03T10:00:02+00:00 2015-09-03T11:00:02 \n3 2012-09-09T09:37:57+00:00 2012-09-09T10:37:57 \n4 2016-09-18T10:13:01+00:00 2016-09-18T11:13:01 \n5 2018-05-08T18:45:40+00:00 2018-05-08T19:45:40 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>athlete_name</th>\n <th>elapsed_time</th>\n <th>moving_time</th>\n <th>rank</th>\n <th>start_date</th>\n <th>start_date_local</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>Alexandar R.</td>\n <td>0:14:43</td>\n <td>0:14:43</td>\n <td>1</td>\n <td>2017-07-06T18:32:24+00:00</td>\n <td>2017-07-06T19:32:24</td>\n </tr>\n <tr>\n <th>2</th>\n <td>Edmund B.</td>\n <td>0:15:17</td>\n <td>0:15:17</td>\n <td>2</td>\n <td>2015-09-03T10:00:02+00:00</td>\n <td>2015-09-03T11:00:02</td>\n </tr>\n <tr>\n <th>3</th>\n <td>Chris W.</td>\n <td>0:15:47</td>\n <td>0:15:47</td>\n <td>3</td>\n <td>2012-09-09T09:37:57+00:00</td>\n <td>2012-09-09T10:37:57</td>\n </tr>\n <tr>\n <th>4</th>\n <td>Andrew S.</td>\n <td>0:16:00</td>\n <td>0:16:00</td>\n <td>4</td>\n <td>2016-09-18T10:13:01+00:00</td>\n <td>2016-09-18T11:13:01</td>\n </tr>\n <tr>\n <th>5</th>\n <td>Patrick Ramsey (.</td>\n <td>0:16:01</td>\n <td>0:16:01</td>\n <td>5</td>\n <td>2018-05-08T18:45:40+00:00</td>\n <td>2018-05-08T19:45:40</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# first check how many dates we need to look up\nLB.start_date_local = pd.to_datetime(LB.start_date_local)\ndateList =LB.start_date_local\nprint(len(dateList), dateList.min(), dateList.max())\n",
"execution_count": 14,
"outputs": [
{
"output_type": "stream",
"text": "997 2009-07-04 08:40:52 2019-05-20 19:26:28\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "I have written some functions that scrape historic weather records for a specified location. These are not available for dates earlier than 2010, so I have to pull those in manually."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import sys\nsys.path.append('/Users/Gavin/Gavin/Jupyter/Weather')\nfrom HistoricWeather import historicWeather, currentObs, weatherObs\n\ndef getObservations(dateList):\n observations = pd.DataFrame()\n for d in dateList: \n [y, m, d, h, mi, s, town, country] = [d.year, d.month, d.day, d.hour, d.minute, d.second, 'london', 'uk']\n OBS = weatherObs(d=d, m=m, y=y, h=h, mi=mi, s=s, town=town, country=country)\n observations = observations.append(OBS)\n return observations\n\n \n# **********Run this once, fill in gaps and then pickle*************\n#observations = getObservations(dateList)\n",
"execution_count": 17,
"outputs": [
{
"output_type": "stream",
"text": "No historic data available for Saturday, 5 September 2009\nNo historic data available for Saturday, 4 July 2009\nNo historic data available for Saturday, 4 July 2009\nNo historic data available for Tuesday, 18 August 2009\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Historic data obtained manually for missing dates."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "missing = [[pd.to_datetime('2009-09-05 09:07:36'),67,1020,15,20/1.6,270],\n [pd.to_datetime('2009-07-04 08:40:54'),60,1013,21,0,0],\n [pd.to_datetime('2009-07-04 08:40:52'),60,1013,21,0,0],\n [pd.to_datetime('2009-08-18 07:54:49'),70,1018,18,0,0]]",
"execution_count": 22,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "#*******Run this once to fill in missing values and pickle**************\nreading = ['Date','Humidity','Pressure','Temp','Wind','WindDirn']\n#missing = [['2009-08-22 09:07:21',72,1023,12,9.3/1.6,180],['2009-08-29 08:53:18',67,1022,9,20.4/1.6,270]]\nfor m in missing:\n for i,j in enumerate(m[1:]):\n observations[reading[i+1]].loc[m[0]] = j\n\nobservations.loc['2009']\n\nobservations.to_pickle('9952393_observations.pkl')",
"execution_count": 23,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "*OK let's import the previously cleaned-up, pickled observations and confirm that the dates match those in the the leaderboard*"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "observations = pd.read_pickle('9952393_observations.pkl')\nprint('All dates match leaderboard: ',all(observations.index==LB.start_date_local))\nobservations.head()",
"execution_count": 24,
"outputs": [
{
"output_type": "stream",
"text": "All dates match leaderboard: True\n",
"name": "stdout"
},
{
"output_type": "execute_result",
"execution_count": 24,
"data": {
"text/plain": " Humidity Pressure Temp Wind WindDirn\n2017-07-06 19:32:24 58.0 1013.0 30.0 8.0 134.0\n2015-09-03 11:00:02 73.0 1016.0 15.0 8.0 287.0\n2012-09-09 10:37:57 59.0 1011.0 26.0 6.0 271.0\n2016-09-18 11:13:01 77.0 1021.0 18.0 5.0 331.0\n2018-05-08 19:45:40 66.0 1010.0 20.0 11.0 272.0",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Humidity</th>\n <th>Pressure</th>\n <th>Temp</th>\n <th>Wind</th>\n <th>WindDirn</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>2017-07-06 19:32:24</th>\n <td>58.0</td>\n <td>1013.0</td>\n <td>30.0</td>\n <td>8.0</td>\n <td>134.0</td>\n </tr>\n <tr>\n <th>2015-09-03 11:00:02</th>\n <td>73.0</td>\n <td>1016.0</td>\n <td>15.0</td>\n <td>8.0</td>\n <td>287.0</td>\n </tr>\n <tr>\n <th>2012-09-09 10:37:57</th>\n <td>59.0</td>\n <td>1011.0</td>\n <td>26.0</td>\n <td>6.0</td>\n <td>271.0</td>\n </tr>\n <tr>\n <th>2016-09-18 11:13:01</th>\n <td>77.0</td>\n <td>1021.0</td>\n <td>18.0</td>\n <td>5.0</td>\n <td>331.0</td>\n </tr>\n <tr>\n <th>2018-05-08 19:45:40</th>\n <td>66.0</td>\n <td>1010.0</td>\n <td>20.0</td>\n <td>11.0</td>\n <td>272.0</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "*This is the pandas merge command that appends the weather conditions to the leaderboard*"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LB = pd.merge(LB,observations,left_on=['start_date_local'], right_index=True).drop_duplicates().sort_index()\nLB.head()\n",
"execution_count": 25,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 25,
"data": {
"text/plain": " athlete_name elapsed_time moving_time rank \\\n1 Alexandar R. 0:14:43 0:14:43 1 \n2 Edmund B. 0:15:17 0:15:17 2 \n3 Chris W. 0:15:47 0:15:47 3 \n4 Andrew S. 0:16:00 0:16:00 4 \n5 Patrick Ramsey (. 0:16:01 0:16:01 5 \n\n start_date start_date_local Humidity Pressure Temp \\\n1 2017-07-06T18:32:24+00:00 2017-07-06 19:32:24 58.0 1013.0 30.0 \n2 2015-09-03T10:00:02+00:00 2015-09-03 11:00:02 73.0 1016.0 15.0 \n3 2012-09-09T09:37:57+00:00 2012-09-09 10:37:57 59.0 1011.0 26.0 \n4 2016-09-18T10:13:01+00:00 2016-09-18 11:13:01 77.0 1021.0 18.0 \n5 2018-05-08T18:45:40+00:00 2018-05-08 19:45:40 66.0 1010.0 20.0 \n\n Wind WindDirn \n1 8.0 134.0 \n2 8.0 287.0 \n3 6.0 271.0 \n4 5.0 331.0 \n5 11.0 272.0 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>athlete_name</th>\n <th>elapsed_time</th>\n <th>moving_time</th>\n <th>rank</th>\n <th>start_date</th>\n <th>start_date_local</th>\n <th>Humidity</th>\n <th>Pressure</th>\n <th>Temp</th>\n <th>Wind</th>\n <th>WindDirn</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>1</th>\n <td>Alexandar R.</td>\n <td>0:14:43</td>\n <td>0:14:43</td>\n <td>1</td>\n <td>2017-07-06T18:32:24+00:00</td>\n <td>2017-07-06 19:32:24</td>\n <td>58.0</td>\n <td>1013.0</td>\n <td>30.0</td>\n <td>8.0</td>\n <td>134.0</td>\n </tr>\n <tr>\n <th>2</th>\n <td>Edmund B.</td>\n <td>0:15:17</td>\n <td>0:15:17</td>\n <td>2</td>\n <td>2015-09-03T10:00:02+00:00</td>\n <td>2015-09-03 11:00:02</td>\n <td>73.0</td>\n <td>1016.0</td>\n <td>15.0</td>\n <td>8.0</td>\n <td>287.0</td>\n </tr>\n <tr>\n <th>3</th>\n <td>Chris W.</td>\n <td>0:15:47</td>\n <td>0:15:47</td>\n <td>3</td>\n <td>2012-09-09T09:37:57+00:00</td>\n <td>2012-09-09 10:37:57</td>\n <td>59.0</td>\n <td>1011.0</td>\n <td>26.0</td>\n <td>6.0</td>\n <td>271.0</td>\n </tr>\n <tr>\n <th>4</th>\n <td>Andrew S.</td>\n <td>0:16:00</td>\n <td>0:16:00</td>\n <td>4</td>\n <td>2016-09-18T10:13:01+00:00</td>\n <td>2016-09-18 11:13:01</td>\n <td>77.0</td>\n <td>1021.0</td>\n <td>18.0</td>\n <td>5.0</td>\n <td>331.0</td>\n </tr>\n <tr>\n <th>5</th>\n <td>Patrick Ramsey (.</td>\n <td>0:16:01</td>\n <td>0:16:01</td>\n <td>5</td>\n <td>2018-05-08T18:45:40+00:00</td>\n <td>2018-05-08 19:45:40</td>\n <td>66.0</td>\n <td>1010.0</td>\n <td>20.0</td>\n <td>11.0</td>\n <td>272.0</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "*We can now look at the distribution of wind directions for the leaderboard. Using 16 bins aligned with the compass rose and subtracting (360/32) to achieve central alignment of bins.*"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "hist = plt.hist(LB.WindDirn.add(360/32).mod(360),bins=16)\nsegmentWindDirn = hist[0]/10",
"execution_count": 26,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "*Let's compare this with the windfinder.com data.*"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "compass = ['N','NNE','NE','ENE','E','ESE','SE','SSE','S','SSW','SW','WSW','W','WNW','NW','NNW']\nhistoricWind.Year.plot()\nplt.xticks(range(16),compass,rotation='vertical')\nplt.plot(historicWind.index,segmentWindDirn,color='r')",
"execution_count": 28,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 28,
"data": {
"text/plain": "[<matplotlib.lines.Line2D at 0x124617da0>]"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "*This is the chi-squared test, comparing the histograms, which shows a signficant difference at 5% signficance level*"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "from scipy.stats import chisquare\nchisquare(segmentWindDirn,historicWind.Year)",
"execution_count": 29,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 29,
"data": {
"text/plain": "Power_divergenceResult(statistic=29.658171780824706, pvalue=0.01321556919273836)"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "*Create charts for blog*"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "The following two chart compares the segment against the historic average annual average. The compass rose on the left shows a far higher fequency of PBs being set when \nthe wind blows between the W or NNW, and a relatively lower incidence in the E or SW. The right hand chart \"unwraps\" the two curves to show the relative difference, which is statistically significant (p&lt;0.01). We conclude that the best wind direction for a clockwise PB around Richmond Park is indeed a tailwind down Sawyers Hill or a tailwind from Roehampton to Robin Hood Gate."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "compassRose(np.vstack((historicWind.Year,segmentWindDirn)),['Year','Segment'],'RoseSegment')\nplt.savefig('RoseYearclockwise2019.png');\n\nwindAdvantage = segmentWindDirn-historicWind.Year\nplt.bar(historicWind.index,windAdvantage,color='b',width=1)\nplt.title('Tour de Richmond Park Clockwise wind direction advantage')\nplt.xticks(range(16),compass,rotation=90,ha='left');\nplt.savefig('BarSegmentclockwise.png')\n",
"execution_count": 36,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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0cHd1F5YCEbmOFToA5Mjl8qqcnBzlV199RSaTic4n5OXlrTYJ8+KOO+4giURCKSkptnMajYZuvPFGg5ubm0EgEIwDOERrYAx8nQ5XbMgKgDGWJpPJDl1++eUJv/3tb4OSkpJWmyQAZvF9enoaWq3Wduh0OhgMBhgMBhiNRljcutHX1weBQICysjIIBAIIBAIIhUK4ublBJBJBLBbD3d0d7u7u8PDwgIeHxzmz2Bw4cAD33Xcfbr/9dtu5kpISDA8PC9VqNY4ePerz4x//+AaZTCYcGhr6f0SkOieEfc3hWoY4EYyx2NDQ0FciIyO3v/rqq8EZGRnnnAYigkajgVqtxuTkJCYmJjA1NQWj0QiBQABPT0/bJHd3d4dYLIZIJLIdAoEAjDEYjUaUlZUhMzMTJpMJJpPJxlT0ej10Op2N4czMzGBmZgYAIBaL4ePjAx8fH/j6+sLPz29F/EIUCgWuvvpq1NfXAwBuvPFG3HPPPbjkkksAACaTCX/6058Mjz766KhGo3ljeHj4v4lo0umEfIPgYhZOAGNMKpPJng0ICLjqpZdeCr700kvZufrKzszMYGRkBCMjIxgfH4dOp4O3tzd8fX3h6+trm7iOeHjy1VkQEXQ6HSYnJ22MykqTl5cXAgICEBQUhMDAwGV7nM5lFps3b8aePXtw5MgReHh44LnnnkNGRgZ0Oh1effXVmWeffXZ8enr6f8bHx18hV3yKQ3AtQ5YBxpivRCJ5LDo6+nvPPPNM0E033SQUCFY2RYhOp4NSqYRSqcTY2Bjc3NwQHBwMqVSKhIQEiMXiFe1/MTDGbBJLcHCw7bxV2hkbG0N/fz8aGhrAGENwcDAkEgmCgoIgFAqX1bfBYMDo6ChKSkpQVlaGG2+8Ee3t7RCLxXjwwQc97r77bo+DBw/++s033/ypt7f3/9NoNP9HRKbl3vM3CqutNDkfDwAsMDDwvrCwsMGXX355RqfT0UrBZDLR+Pg4NTU1UWFhIRUVFVFDQwOpVCoyGo0r1i/Ryio4dTod9fX1UU1NDeXl5VFJSQkpFAqanp7mVL+jo2OWgvPyyy+fRW9cXBwNDQ2dVW9oaIjuueeecZlM1gIgi9bAeDpfDpdkwROMsWipVPrR3r17E55//nm/lXKkUqvV6O3txeDgILy9vREaGort27evquTgTLi5uUEul0MulwMwR6gODAygvLwcABAeHo6wsDDO+o69e/ciNzcXF154IZqbm6HT6RAScvbOixKJBK+99prfz372M799+/Z9JpPJ/jI0NPQguTxCl8Zqc6vz5QDA/P3974uOjlbm5+eviA10ZmaGWlpaKD8/n06ePEk9PT2k1+tXoitOWC3TqUajodbWViosLKQTJ05QT08PGQwG2/V9+/ZRaGgoiUQiCg8PpzfeeIO0Wi3t37+fUlJSaMuWLXT06NEl+zEajfTCCy9My2QyBYBMWgPjbC0fq07AkgQCBOB5u98PA3gCQACAYZxR0mZZykZYfvsDGAEgcAINUVKptPT73//++OTkJDkTJpOJBgcH6eTJk1RQUEDt7e2k1Wqd2oejWAt+FhMTE3Tq1CnKzc2l2tpampiYcHofra2ttHXr1mGpVPq/ADzoHIxfy/9PAOgFUG13BDizf2ce50PCXi2A6xhjs2RKIhoDMAAg2XIqG0CV5S8AZAI4SctQYjHGWEBAwI+io6PLP/zww/TXX3/dz9vb29HmZsFgMKCjowMFBQXo7e1FQkICcnJyEBsb+7VZajgDPj4+2LBhA3bv3o2QkBDU1taiuLgYg4OD1sm3bMTHx6OsrCzo5z//+QGZTNbAGNvmlIbNmHf82uFFItpsd4w5sW+n4nxgFgYArwN4cJ5rx3GGOWQDeHHO7xOOdsoYi5RKpcU33HDD06dOnZLs3r3bKbZQrVaLxsZGFBUVwWAwIDs7G1u2bEFAQIAzmv/aQiAQQC6XIzs7G6mpqRgYGEBhYSG6urpgMi3fqCEQCPDTn/7U89ixYzFbtmz5p1QqfYUx5uEE0hcbv+cXVlu04SDGTQLwA6CAeWlhL8YdAPCW5f8qAB4Ajll+fwXgIkf69PX1vSUqKmooNzfXabqJmZkZqquro7y8PFIoFLPW4GsVa2EZQjS/ezcR0fT0NL311lv04osvUl1dndOsQ0ajkZ577jmNVCptB5BMKzd+n8DsZUjecvpa6eN8kCxARGoA7wH4yZxLxwFkM8ZiASiIaAbm1YMPgAsAlPLphzEmkEqlv01PT3+lrq5O8q1vfWvZ0oROp8Pp06dRXFyMgIAA7N69G9HR0cv2K/gm4cCBAzhy5MhZ55VKJQ4fPozf//73tqQ5nZ2dy16eCAQCPPTQQ565ubmx0dHRBV5eXlcvp71Fxi8wexnyreX0s9I4n0ynvwVQCeBt6wkiamGMBQK4BkCx5XQFgDsAdBAP916Lg9Wnt99++wXPPvusz3Kdq4xGIxQKBbq6uhAXF4ecnBystMMWVxAR9Hq9zU1br9fDaDTaYkOMRiP6+/uh0WjQ0tJiiwuxHmKxGB4eHvD09DwnTC8nJwcKheKs8w8++CCeffZZ7NmzB1FRUfDz80NLSwsKCwuRlJQEmUy2rH5TUlJQUVEhufLKK98NCQn53fDw8K/JcU501vg933DeMAsiGmGMfQjgLgBv2V0qBnA/zEsS6++nAHzBtW3GWJxUKv3qhRdeiNy/f7/bMunEwMAAmpqaEBYWhpycnFWTIrRaLdRqte2YmpqCwWAAYPZzsAaAubm5zWIEQqEQ4eHhaG9vh5eXl42RaLVaGI1G6HQ6G6MxGo0AAHd3d/j4+MDPzw9+fn7w9fVdkSTCVvzjH/9AeHg40tLSbOfEYjFSUlKg0WjQ0NCA9vZ2pKamwtfX1+F+goODcezYsaAf/OAHD3322WfpjLEbLRIsLywyfs8bnDfMwoLnAdw359xxAFcCKLf8LgYQB47KTbFYfFFERMSf//73v0vT09OXRdzk5CTq6+shFouRmZkJDw9n6Me4werurFKpMDo6Cp1OB7FYbJu4MTExthgRrnErPT09CA8PX7IcEUGr1WJiYgJqtRqdnZ2YmJiA0WiEl5cXgoODERwcDH9/f6dEpmo0Gjz99NP48ssv573u5eWFCy64AKOjo6iurkZQUBASExMdZl5ubm548803/V599dVLn3zyyUrG2CVE1OdAU/ON3wcZY7fa/d5LRAqHCF1hfGMDyRhjLCgo6MGIiIhHjxw5EmT1JHQEJpMJLS0tGBgYQGpq6qy4iJWCyWTC8PAwVCoVhoeHYTQaERQUhJCQEAQGBjqFUS03+Q0RYWpqykanWq2Gl5cXQkJCEBISAj8/P87Mwz5wrK6uDhdffDGsCYR6enoQFhaG0tJShIaGnkVDZ2cnOjo6kJycfNZ1vigoKDDt27dvaGBgYA8R8dKJne/4RjILxphYKpW+s3v37ivfe+89/+VMrLGxMdTW1iI0NBTr1q1bUb2E0WjE0NAQ+vr6oFarbYFYwcHBK+Kb4exMWUTmgDKVSgWlUomJiQlIpVLI5XIEBgYuyjjmRpnaIyYmBuXl5fO6d1sxMzODuro6CAQCpKamLitsXqFQ4PLLLx8eHBx8ZGxs7LzVQfDGaptjzvUBwFsikZx85plnppaTucpoNFJDQwMVFRWRWq12uB0u/fT29lJZWRnl5eVRfX09jYyMnJOsWyttOjUYDNTX10cVFRU2D8357m0+9257REdHk1Kp5NRnX18f5ebmUn9//7Jon5iYoEsvvXRUIpE8Q2tgXJ+L4xslWVgsHoXPPvts8oEDBxz+tExOTqKqqgoymQzr169fkQxRGo0GCoUCg4ODkEqliIiI4CW2OwPnMgenyWSCUqlEd3c3NBoNoqKiEB4eDje3Zemb54VWq0VNTQ3EYjFSU1Md1mUYjUbs27dvvLCw8B1LMNrXejJ9Y5gFYyxAIpEce+mllxL27dvn8Ajs6elBa2sr0tLSEBgY6EwSbZaUzs5OGI1GREdHQy6Xr5o1ZbUS9mq1WnR1daGnpwdBQUGIiYmBv7+/U/sgInR1daGjowNbt26Fn5+fQ+2YTCYcOHBAfeTIkQ+USuV/fJ0ZxjeCWTDGgqVS6YlDhw7Ffec733HoM2I0GlFXVweDwYC0tDSnfvFMJhN6enrQ3t6O4OBgxMTELMvc5yysdnZvIoJSqURHRwdMJhMSEhKcrjxWq9WoqqpCTEwMoqKiHJLciAg/+MEP1J988smng4ODt9PXNKnO+WY65Q3GWIBMJit56KGH4q+++mqHZHiNRoPy8nJERkYiJibGaUsBk8mErq4uKBQKSKVSZGVlnbN9TNcq7rzzTnz22WeQSqWor6+HVCrFb37zG5SVleHSSy9FUFAQrrjiCqe9Bz8/P+zYsQM1NTUYHR3Fpk2beCupGWM4ePCg3/j4+E15eXkmxtj3vpYSxmorTVbyAOAnkUhOffzxx/q+vj4qLCwkvlmtVCoV5ebm0vDwMK96i8FkMlFHRwfl5uZSQ0PDmglJn4vViA0pKCigioqKWXEg//rXv2x5PR5//HF6/fXXqaioiFQqldP6NZlM1NraSkVFRZyzdVkxOjpKeXl5NDExQffcc8+4RCJ5DRap/et0rDoBK3ZjZqtH9eHDh23cgS/DUCgUVFhYSBqNhlN5LhgaGqL8/Hw6deoUb8Z1rrFagWRzU+bZ429/+xvdcsstNDExQSUlJVRaWkpTU1NO63toaIhyc3NpbGyMU3kro7DmOTGZTHTbbbeNSySSF2kNzANnHl/LZQhjzEMikeQ/99xzyTfddJNNuWB1vCopKUFmZuaCegciQmNjIyYmJpCVleUUt+WpqSmcOnUKAJCeng5n5cVYLgwGA2ZmZmz7hliPkZERaLVaDAwMzIoLsbqJr1acy1tvvYWbbroJPj4+2L59O4aGhlBWVgaZTIZ169Yt+11JJBJkZGSgvLwcGzZsgFQqXbDs2NgYqqurkZGRYXufjDG88847fjfddNMdEolEo1QqH10WQWsIXztmwRhjUqn0g0cffTT19ttvP8tTaSmGYTKZUF1dDbFYjIyMjGWvi41GI1paWjA4OIgNGzZAIpEsqz1HYB8jMjExAY1GA53OvC2oUCi0xYfYB4yp1WqYTCaMjo7agsvs40KICIwxeHh4wMvL65zEhDz99NMQiUTYv3+/7ZxUKkVISAgUCgWKioqQmJiI5e5A7+Pjg6ysLJSVlWFmZgZRUVFnlZmPUVghEAhw+PBh/8svv/xef3//pvHx8feWRdAawdfOGhISEvKra6655uG33357UVtYf38/WltbZzEMo9GI8vJyBAUFYf369cumZWxsDDU1NQgPD0dcXNw5+RqbTCaMjY3Z3MC1Wu2sGBE/Pz94eXlBLBYvyQiXsoaYTCZotVpMTk7aGJE1JsTHxwchISEIDg6Gj48PL6Y7n7fmu+++i0OHDuHo0aNYaJ9YnU6Huro6EBE2bdq0bK9W60ZLEokE8fHxtvOLMQp7TExM4IILLhhuaWm5gojKFyx4nuBrxSy8vLyuTklJee/EiROBXEyb9gwDAEpLSxEREYHo6Ohl0WEymdDc3AylUonNmzevuBl0cnIS/f39UCqV0Ol0CAgIsE1UT09Ph9t11HRKRJiYmIBKpYJKpcLU1BR8fX0hlUoRGhq65CSeyyyOHDmCn/70pygoKOAkmfX19aGpqckpsSAmkwmVlZXw8fFBYmIixsfHOTEKK9rb27Fjx47+gYGBC4iof1nErDK+NsyCMZYUFRVVVFFREbJYjMBc9Pf3o6WlBYwxxMbGIiIiYll0qNVqVFdXr2isiHUy9vf3Y2BgAO7u7pDL5ZBKpctiDnPhLD8LK70DAwMYGBiASCRCWFgY5HL5Wabim2++Gfn5+VCpVJDJZHjyySfxzDPPQKvV2nwsMjMzcejQoUX71Gq1qK2thVAoxMaNG5flF0NEqKmpgclkwvj4OLZt28ZL55Sbm2vat29fg1KpTCcHwtvXCr4WzIIxFiiVSqv//e9/R23cuJFXXb1ej6KiIphMJuzevXtZg6q7uxvt7e3YsmWLwx6Bi0Gv16O7uxvd3d3w9PREWFgYZDLZirhEAyvnlKXRaNDf34/+/n6IRCJER0dDJpMiQ9tyAAAgAElEQVQ5nbESEXp7e9Ha2rosL00AGB0dRXFxMcLDw7Fp0ybeuqyXX3555qmnnjoyNDR0HZ2nk+68ZxaMMZFEIjn+2muvbeXrnWk0GlFSUoKYmBgIBIKzdBhcYTKZUF9fD51Oh82bNztVwUdEGBsbg0KhwPjYGCKjohAZGXlOMoCfCw/OiYkJKBQKqFQqyOVyREdHO1U6svZRWVmJuLg4REZG8q5v1VGkp6ejtbUVHh4eSEpK4t3OgQMHxj/77LPfqFSqp3lXXgtYbdvtcg+JRPKHX/3qV7w38zAajVRcXEwKhcJ2zhHHLY1GQ0VFRdTa2urUSFDrfiJFRUVUWlpKozVfkOm5JKKBeqf1sRTOpZ+FwWCgzs5OKiwspIqKCqfvD6LT6ai0tJRqamp4Jfadz4+irKyMWltbedOg1WopPT192N3d/UpaA3OH77HqBCznCAwMvOeqq64a5TtJTSYTlZeXz/vC+TAMq3cn1/BorrT19/dTYWEhVVZWnpk0NR8SPe5H9HIGkda5Gx0thNVwyrIyyWPHjlFZWRmNj487te2WlhYqKiqimZmZJcvPZRRWWD80nZ2dvGkYGhqiqKioIQCJtAbmEJ9j1QlwmHAgef369SpHdgirr6+n+vqFv9BcGEZfXx/l5+c71btTqVRSQUEBVVdXn+2VeOoTM7N43I/o7/c6rc/FsNLMYr4U/8PDw3TJJZfQunXr6Pbbb6f8/HwqKytzqpfm4ODgvEzAHgsxCiv0ej0VFhbS4OAg7/5rampIKpW2AhDTGphLXI+1kW6aJxhjIqlU+tcPPvggmK8nZEdHB6anp7Fhw4YFy8jlcqxbtw4lJSXQ6/VnXVcoFGhvb0dWVpZT1tcajQZlZWVob2/HBRdcgLS0tLN9CUSWbF7xFwHV7wO1Hy6739XGfCn+Dx48iIsvvhgtLS1ITk7GF198gaioKJSVlaGxsdGWcHg5kEql2Lx5M0pLSzE2dvYGYFz8KEQiEbZt24bTp09DrVbz6n/Tpk24//775RKJ5BmHbmC1sNrcypEjJCTkyV/84he8RQqrDoDrBj9zJQyTyUQNDQ108uRJp2wSpNfr6fTp05Sfn09DQ0OLF27LN0sVbflEb15O9HQYkbJl2TQshnOxDJkbB5KQkEB9fX1EZH7+CQkJRGQW/dva2ig3N5e6u7udoh+anJykvLy8Wc9+KYliLtRqNeXm5nJa1tjDYDDQpk2bVAC20hqYU1yOVSeAN8HAhsTERBXfSM2JiQnKy8vj/VKtDEOr1VJ1dTVVV1c7ZaCqVCrKy8ujtrY2bgq3zhIzs2g9SjTWQ3Qwmuj3O4h0/CIkF4LRaCSdTkfT09M0OTlJg4OD9NVXX9HU1BRNT0+TTqdbkVR+c5mFv7//rOsBAQGzfmu1WqqqqqKSkhLe0aHzYXp6mgoKCqi3t5c3o7DCqmPhuyNaQ0PDebUcOa9iQyzLj48OHz4czMd0qNfrUVFRgc2bN/POFyGXy0FEyM3NRVhYGDZu3LiseBGj0YjGxkaMjY1h27ZtC7ounwWRhW6DFvAPB/b+HvjzPuCrXwFX/oZTE3NjRKx7fwDmACiRSAShUAiBQIDBwUEAQH19vS0uxLoEEAgEtk2GztU+IVaIxWJs3rwZQ0NDKC4uxvr16xEeHu7wO/Hw8EBWVhaOHTtm23uW79JWKpVCrVajrq5u1j4mSyEpKQkPPPBA2Isvvvg/OA/2Qj2vmEVwcPBjd999d+TmzZs51yEye9/FxcU5tPkwEWF0dBT+/v4YGxuDwWBw2AnKuhaOiorChg0b+A1wG7OwOAAmfhvI/BFQ8ioQswvYcO1ZdKvVapvLtUajgbu7u21iR0VFwdPTEx4eHgvSkZ+fj23bzt5Q3Gg0YmZmBhqNxrZPiDXwzN/fH8HBwQgJCeHOCO0gk8nQ398PuVyO/v7+BaM+pVIpAgMDUVdXh76+PmzevNlh35OpqSkA5v1BpqamHIoIjo+PR2VlJbq7u3n5cvzsZz/zPHz48O2MsfeJqIJ3x+cQ5w2zYIylJiYm3vvEE0/48KmnUCggEokccsYBgKamJuh0OmRmZmJgYGDJ8PaF0NnZic7OTqSnp8PHh9ctmGEvWVhxyRNA1wngH/cB8jQYfMMxODiI/v5+TExMwM/PDyEhIUhJSYG3t7fTMnwJhUJ4e3vD29t7VqyG1R1apVKhpqYGMzMzCAkJQVhYGIKCgjj1f+211+Ldd9/FL37xC7z77rvYs2fPgmXd3NywdetW9Pf348SJE9i8eTPvD4KVgW/btg0ikQglJSUQCASLbiswHxhjSEtLw7Fjx+Dv78/ZW1QoFOLDDz8MysnJ+QtjLJmItEvXWiWs9jqIywFAJJVKG6qrq7kvCIlobGyMCgoKHFZGNjc3U3l5+ay1Ol/HLYPBQJWVlVRRUWHL9uQQxnvNOovyt2edNipbyfhUGE28uJ3yj35Fp0+fptHRUafoF5ar4DQajTQwMECVlZV09OhRqq6unpXqf74U/yqVii666CJat24dXXTRRZwzlE1OTlJBQcEsJ7ulMJ+OYnp6mvLy8hzOjDY+Pk75+fm83/XBgwc1Eonkd7QG5ttCx6oTwOUICQl56tFHH+WldTIYDJSfn+/wnh7d3d1UUlIyr9KKK8OYmpqigoIC6ujoWP7knRo2M4uSQ7a2T58+Tbm5udT1z9+Zr335q+X1MQfOtIYYjUYaHByk0tJS2zNZFvOcB3q9nsrLy6mqqmrJD8RiykyNRkO5ubm8FZ1WdHR0UE1NDa86BoOB0tLShgFk0BqYc/Mdq07AkgQCEXFxcUq+Kehqa2upvb2dVx0rhoeHKT8/f0mnrMUYxtjYmHNzd2oniR73I82/D1JpaSkVFRVRd3f3mUnxj/vNDKP5S+f0RytnOp2enqampibKzc2lU6dO8bZQLQaTyURtbW10/PjxBd8NF6uHtYwjqQ9NJhOVlJTQwMAAr3oNDQ0kk8lOY43m71x1ApY6QkND//Lxxx/zskkNDg5ScXGxQ1/zqakpys3N5eQxuBDDGBoasiVwdRZGVENEj/tR1x/vm58B6TREr2YR/U8s0XifU/pcaT8Lo9FInZ2dlJeXR3V1dU71hu3t7aWCgoKzzKt8zKO9vb104sQJ3iZRIjNDzM3N5Z2M+bbbbhsVi8XfpTUw9+Yeq07AosQBSZs2bVLymfR6vZ7y8vIcGnh6vZ4KCgp4SQNzGUZPT8+8g9RRTE1NUWlpKZWUlJDpySCif//XwoWHGomeCiV6+yoi4/KdxpzNLF544QXasGEDpaSk0L59+2zPyGQyUU9PD+Xl5VFDQ4PTlidKpXIW03bEj6KpqYn3ksKKnp4eqqio4FWnt7eXZDKZAoCI1sActD/WtLt3aGjo/77yyishfLT4DQ0NiImJ4e2GTUS2MOagoCDO9exdw9vb29HZ2YmsrKxl72JuMBjQ0NCAsrIyxMTEYPv27WBC9zOm0/kgSQSufA5QFAGF3HwvzhV6e3vx0ksvoby83Oa7cfjwYQBmS0J4eDhycnIgFotRVFSEnp4e6wfDYYSEhGDr1q0oKytDb28vrwxXVqxfvx56vR4KhYJ3/2FhYdDr9RgaGuJV55Zbbgny9fW9i3eHK4w1yywYY9sSEhI27dq1i3Od0dFRqNVqh9LiKRQKeHh4OJQpSy6XIyAgAA0NDdi6deuyk9EMDQ2hqKgIHh4e2LVr1xnzpMh9tul0Pmy+Bdi0Dyj4H6CjaFl0OBsGgwHT09MwGAzQaDRnJdYVCASIi4vDjh07MDw8jOLiYmg0mmX16efnh8TERFRWVmLDhg28fSisJlGrLwnfups2bcLp06d5xbQ89thjvl5eXo8zxpyb2GOZWJPMgjHGZDLZa6+88grnveqICPX19Q5lMVKr1ejq6kJKSgpvWgHzV1OtViMtLQ1lZWXzBp9xgV6vR01NDTo6OpCVlYXY2NjZ2aNEHotLFgDAGHDV80BQHPDXu4EplUO0OBvh4eF4+OGHERUVBblcDn9/f1x22WXzlhWLxUhLS0NiYiJKS0uhUCgcljLGxsbQ3NyMbdu24dSpUzYHLD4QiUTYsmULqqqqYDQaedX19PREVFQUWlpaONcJCAjAT37yk4CgoKCH+dK6kliTzEIgEFyWnZ0dzSdFXmdnJ4KCgngnxzUYDKiqqsKWLVsc2oC4v78f7e3t2LZtGyIiIhaNVl0MIyMjOH78OAIDA7Ft27b5lzFcJAsAcPcBrn8bmB4F/v4DwMR/603rOtVZGB0dxSeffIKOjg709fVhamoK77///qJ1goODsXPnTqjVapSUlNhc07nCPnpUJpPZliSOSCt+fn6Iioqy7f3CBzExMVAqlZicnORc58EHH/T09PS8jzHG3+14hSB84oknVpuGWWCMCSQSyT8/+uijcK7eeHq9HrW1tdi6dSvvPI51dXWQyWSQyWS8aR0ZGUFDQwMyMzNtrsa+vr4Qi8Wora1FWFjYkgyIiNDR0YG2tjZkZGQgJCRkYcmo4h3Awx9IvW5p4nxlgGcAcPIQIPYGojJtl7RaLUZHRzEwMIDu7m50dnaira0NCoXCdtTW1to2GbKe6+7uhlKpxMjICKanp0FEtv1GlsJnn32G4eFh3HzzzRAKhdDpdCguLsZVV121aD2BQACZTAZ3d3dUVlbC39+fkz5qvjBzDw8P+Pn5oaqqCuHh4bw/DgEBAejq6oJAIOD1UWKMwcfHB01NTZyXuW5ubvDx8XE7efKk3yOPPPJPXoSuENacu7enp+cte/fulcTExHCu09zcjPj4eN6BTIODg9BqtQ7pOKanp1FTU4Pt27efFZPAdeczg8GAmpoaiEQiZGdnLz14uUoWVmTcDXQUgo7+FwbcYtErCMPExMSsGJGIiAhbjMjcST83B6dV5zA9PY2JiYlZMSFBQUG27QfmC9aLiopCSUkJNBoNPD09cfToUaSnp3O+FalUCh8fH1RUVCA8PByxsbELMtXF8lFY94QpLy/H9u3beX1cGGPYvHkzjh8/jqCgIF5BicHBwWhvb4dSqeS80dSdd94pPnjw4M2MsYNE1Me5s5XCaptj7A8AQplM1sUn+9DU1BTl5+fz9qmwmlgdMXFyNbEu5rhlDY3m455Mb1xG9M41SxYzmUw0OjpKp0+fpqIvP6Xpg+tJ92wijQ928npOXE2nBoOBlEolNTQ0UGFhIR07doza2trOMl8/9thjlJiYSCkpKXTrrbc65IxlMBioqqqKqqqq5vV/4GoebWxspNraWt79E5nNm3xNokRnXNL5vIOPPvrIEBoa+h6thfm52gTYHyKR6Nq77rqL2460FpSXlzuU2qy+vp46Ojp417N653V1dXEqPx/DsObW4J27852rzYlvFoBOp6P29nbKz8+n0tJS6u3tNfssdJcRPRlEdHg/0Qowi7nQaDTU1tZGRUVFVFxcTP39/U5PZtzU1EQlJSWzfDL4+FFY87A64uVrHQNLJiyaB7W1tdTd3c25vNFopOjo6CEAAbTK83NNKTglEskTP//5z/25lrfmZOC7f+j4+DhGR0cdWn60trbCx8eHcxTr3BR9o6OjKC8vx9atW3lHNi5kDZmenkZtbS2OHz8Oo9GIzMxMZGRkICwszLw0i0gHLn4caPgUKHuDX58OwNPTE3Fxcdi5cyc2bNgApVKJ/Px8tLW1OSUtHmMMCQkJkMvlKCkpgU6n47yloH0bmzdvRk9Pz7yp9Zaqu3HjRpw6dYq3dWT9+vVobW2FiaPSWSAQ4IEHHvALDAy8l1dHK4HV5lbWA0Dqzp07eX1qy8rKeH+dTSYTFRYWOpQ1emRkhAoLCx1y/+3r66Pc3FzOruTz4vB+olczbT+npqaoqqrKlulp0a+30Uj0x+8S/VcIUR83j0RnenDqdDpqbm6m3Nxcam5udpqXZn9/Px09epSOHj3qUOCXVcpzJAaktbWVGhoaeNerr6/nlRlcrVZTaGhoDwAhuSQLQC6XP/7YY49x/tROTExAq9Xy/jp3dXUhKCiI9+5UVh8IRywugPlrazAYwBhz3GnLIlkYDAY0NjairKwMoaGh2LVrF8LCwhb3LxEIgO8cAryCgY/uALQTjtHAA2NjY7j++uuRlJSETZs2QaVSYdeuXWCMoaioCL29vdYPhcPw8PCA0WiEQCBwKPmNj48P4uPjUVdXx7tubGwshoaGePturFu3Du3t7Zzv3dfXF3v27PERiUTXLl165bAmmAVjLNDDw2P3JZdcwrlOS0sL753OjUYj2tvbkZCQwKseEaG2thbr1q1zKIuSdf/T7OxsJCYmOuSHAQAQucOo1aCoqAhisRi7du1CaGgodyc07xDgu28AI+3A5w8By5yoS+H+++/HFVdcgcbGRtTU1CA5ORkikQjr1q1DdnY2VCoVTpw4gYkJxxiXdemRnZ2NhIQEnDx50qFlTmRkJIgI3d3dvOoJBAIkJSWhsbGRVz13d3eEhISgr4+7geORRx7xl0gkj/PqyMlYE8zC19f3znvvvdeP66Cfnp7G5OQkb11Fe3s7IiMjeX/Z+/vNm1874go+PT2NiooKpKenw9vbe8ltBhaCTqfD0OgETPppZGdnIy4uzrG9QWN2Art/AdR+AFT/H//6HKFWq1FYWIi77jKHOIjF4llZrNzd3ZGWloaUlBRUVlaitbWVl5QxV0cRFhaGmJgYlJeXc9YH2GPTpk1oa2vj7fglkUig1WoxPj7Oq158fDza2to433N8fDwiIyPDGGPreHXkRKw6s2CMMS8vrx/dcccdnI3W7e3tiI+P5+XWrdfr0dPTg9jYWF706fV6NDU1ITU1lVc9wOyXUFZWhrS0tFmp9PgyDKVSiePHj8PLNxBuMPJOOnwWch425+384mFA2bS8thZAe3s7JBIJ7rjjDmzZsgV33333vOJ6QEAAdu7cCb1ejxMnTmB6enrJthdSZkZERCAwMNAhL0s3NzckJyejvr6eVz3GGJKTk9HQ0MCrnqenJ3x8fKBScXfHf+ihh4KlUumqJfZddWYBYFt6erpfcDC3MBCDwYChoSGb4xNXtLS0IC4ujrfXXkNDA+Lj43lPUCJCRUUFYmNj541i5cIwiAgtLS1obm5GVlYWfPyDlo4N4QKBELjuD4CbF/CXA4B+6QnKFwaDAZWVlfjhD3+IqqoqeHt74+DBg/OWFQqFSE5ORlJSEkpKShadQEtZPRISEqDT6RyKEpXJZCAiW2ZzrggMDIRAIMDw8DCvenFxcejo6OBcfu/evQKBQPBdxtjyIhUdxKozC7lc/rOHH36Yc8BYb28vwsLCeIngWq0WQ0NDvJP2jo6OYmJiwqFkv42NjfD19V207mIMw2g0ory8HFqt9kzIu8gDMBkAEz9z3bzwkwPfeQ0YOg0c+X/Lb28OIiIiEBERge3btwMArr/+elRWVi5aJzg4GJmZmWhsbERbW9tZ17mYR+1NonwnLwCkpqaioaGBt+4jOTmZt+4iICAAOp2Oc6yKWCzGDTfc4Llais5VZRaMMQ+hULhr9+7dnMoTETo7O8HHFRwwb1nId41PRKirq3MoilWlUmF0dBTJyclLlp2PYVjjJqRSKVJTU8/QPV+G72VAG7ULU1u+D1S8ja5//hZlZWU4duwYCgoK8Mknn2B8fByFhYU4fvw4KioqcOrUKXR2dmJkZGTJyRQaGorIyEg0NZmXOUePHl10y0grPD09kZ2djbGxMZw6dcq2pufjRyEUCnHBBRegtrYWOp2O49M40z/fKFHgTEzQyMgIr3oxMTG8pKAf/ehHflKp9BFenTgJqx0bctGePXvEXCfj+Pg4PD09eS0JjEYj+vv7kZOTw4uwvr4+BAQE8I5i1Wq1qKurQ2ZmJmcmYx9LkpaWhqqqKiQmJiI0NHR2Qet+p4YZQMx/Tw69Xo/BwUEolUqMj49DLBbDL/ZWrO85iYiq3yD49ksglm22bTSUl5eHnTt3wmAw2DYkmpycRFdXly23Q3BwMKRSKYKDg89ixi+//DL2798PnU6HuLg4vP3225zoFAgE2Lp1K06fPo3KykrExsaitraWV+IaT09PJCYm2hgMH4YfExODwsJCxMbG8kpiFB8fj/b2dt7Jk1paWpCUlMTpY5aYmAh3d/c4xpg3EfGPt18OVtPJIzw8/MOCggLOzinV1dW8XbsVCgU1NjbyqmM0Gh2KG7G6Aff39/OqZ4VCoaBPP/104USvZW+Zk/LyyLFpNBqpt7eXSkpKKD8/nxoaGmh4eHi2Y9loJ9EzkUSv7SbSn8kZuZRTlk6no4GBAaqurqbc3Fyqqqqi0dFRzrRxQU1NDX3++ecO5zOtrq52yK2/t7eX+G49QURUVFTE2+mutraW15i5//77xwHsoW+KUxZjjBmNxl3Z2dmcyhuNRoyMjPAylxKZw7/5Llu6urogk8l4p8br7e2Fu7v72RIBB2i1WigUCqxfvx7Nzc3zKz3tJYslYLXiFBQUYGRkBBs2bMDu3buRlJSEoKCg2V+xgChgz6tAXxXw7yc40+zm5gaZTIa0tDRceOGFCAsLQ0tLCwoLC53icDU2NoaRkRFERkaiubnZofZSU1OhUCg4WVnsIZfLoVareTtcxcXFob29nVedqKgodHV1cS5/4403+oWHhx/g1YkTsJo6i63btm0TcQ0rHxwchFQq5SVODg0NITAwkNeyxWAwoKOjA+vW8TNn63Q6tLS0cFqXz9fnyZMnkZycjMTExIWtJBx0FgaDAU1NTTh27BjEYjFycnKQmpq69HIq+Rpg2z3m7RCb+KdPYIxBKpUiIyMDGRkZGB0dRUFBgcNMw15HkZqaCg8PD4dMokKhECkpKaitreVVjzGGpKQk3ibR0NBQKJVKXj40/v7+mJ6e5lxn+/btMBqN2Yyxczp/V41ZhISE3Lx//35eVhC+TlEKhYK3X0V3dzfCw8N5O26dPn0a69ev5+1yTES2dbl1X88FrSRz9zud005vby+Kiorg5uaG3bt3IzY2lp+p+NJfA6GbgI9/CIz38LoPwCz9bdmyBTfccANSU1ORlZVl89Lk47Q0V5lp9WWYmZlxyCQqkUggEolsznV86mm1Wl7ShUAgQEREBHp7e3n1Zd3blQuEQiF27NghBJDBq5NlYtWYhUgk+s4VV1zBSUwwGAyYmpriFc+h0+mg1Wp51SEHrS3WzFHh4eG86gFmP475oljnZRgLSBYzMzMoLS2FUqnEjh07HPfudPMAbngHMOqBw/vBeJpof/e7382yAFm9NFNTU1FbW4vGxsYlvSsXsnowxrBlyxZbti6+SE1NRWNjI2+TaFxc3Lxm3MUQERGBnh5+zDY8PJwXg7nllluCpFLpLbw6WSZWhVkwxiIjIyN9uU7koaEhyGQyXkuQ3t5e3pN3YGAAQUFBvKQDIkJDQwNSUlJ4m1gHBgagVqsXNLGexTCsOgvjGWYxODiI4uJixMbGLmsncRuC44ErngH6q7G78DrOPh09PT34/PPPcffdd591zd/fHzt27IBAIMDx48cX9CtYyjwqFAqRkZGB+vp63m7Z7u7uiIqK4uUEBZiXFSMjI7yWFZ6enhAIBLwkEm9vb+j1es79XHbZZUwgECy8a/QKYFWYhY+Pz3X79+/nnLdiYGCAt9Kwp6eHN7Nob29HXFwcrzpDQ0Pw9PTkHcU6PT2NhoYGbNmyZVEmY88wDFZLt0ELIkJTUxPa2tqQnZ1tW8I4BZtvPfP/Xw4A+qUn5gMPPIBnn312QYlGIBAgISEBKSkpOHny5Fl7aXD1o/Dw8EBKSgqqqqp460JiYmLQ09PDy/eCMYaoqCjey5/IyEje0oVUKuW8x4iPjw9iYmK8GGP81tnLwKowC39//9v27t3L6RNoMpkwPj4Orsl7AWBychJubm68rBnj4+MQiUSzYjiWgnXCJiUlca5jrVdVVYXU1FROylcrw6g9bXZwMumnUVlZCb1ej6ysrOXHisyFQAA8MY7W+DuBhn8Af9wLaOZ3NhqZ0uHHv/8MI5E5MATGwLTEBA4KCkJ2djaam5vR2dkJgJ/DFWCeVH5+fryXB0KhEHFxcWhtbeVVLyoqivemR1YdBJ86oaGhGBgY4Fz+tttuC/Dx8eGQvdk5OOfMgjHm5e7uHsU1S9XY2BgCAgJ4ifg9PT28laFdXV28M2f19/cjICAAXl78HKS6urrg6+vLywwsl8sR62sWUVsaT8Hf3x+pqam8lz580BO5B7j+LaC3AnjrCmDsjHlPoZrCrz6uR/bBo/i0k6FNFI2bXi/BHZ8Moowl4tt3/xzTuvmXMO7u7sjKysLAwADq6uoc2iksOTkZvb29vE2bkZGRGBoaglbL3QtWJBIhKCiIl65EJBLB19cXo6OjnOv4+/tDrVZzZjDXXnutm5+f337OHSwTqyFZbM7Ozubc79DQEG8R26rj4AqTyQSVSsW7n/b2dt4mVq1Wi/b2dn7SiMkI5D6FgKMPY9I7Gv0eiQ6lBHQIqd8Fbv0bMDEAvHEpGqqO4YfvV+Bbz+fjg7JuXJsWhq8ezEH9r6/Eq7dsRVZsALyTdqAhJAdbfv0l7nmvHH8p78bI1GzRXygUIiEhAd3d3ZBKpbzzhAgEApvilM/XWyAQ8HaxBsxMhm++C7lczisojTEGf39/zmn+IiIiwBgLZyv5xbDDOXf39vLy2p6Tk8N5TaFSqXiZP2dmZiAUCnmZPoeGhhASEsLLgjAyMgJ3d3feUsWpU6eQmJjInb6JQeCvdwGKIqgirsDojl+hRynAza/kIj4yFN9KkiJ7XQj8PBwPRNTpdFCr1ZiYmIBGo4HBYIBCoYBAIEBtbS2EomAo0l7B9vIHEfHx9TCyh3Dvhdfge1kxkPqdWepdtUkO75EmqP/9v/jPF97Cl6cH8NXpQXx5ehACBqTHBOGyDTJctiEUfkIdampqsGvXLpw+fRqdnZ28GWBwcDA8PT3R19fHSz8VGeyC0PoAACAASURBVBmJwsJCrFu3jrNpOTAwELW1tTAYDJy3nJBIJGhtbeUUI2RfR6lUIjAwkFP5hIQE9Pb2xgPgt7ZyAOecWQQHB1+cnp7O6Q0ZDAYYjfzyN1idt/igp6eHt4RgzanBB+Pj45ienuYeXt9RBHx0J6CdQF3KL/D29E7kf9SPkSkdQrzdUF/Vgw/KeyAUMGyJDEBOggQ5CRJsDPeHULD4x2Z8fNwWmSkQCODv729bGrm5uSEiIgInyytRonLD+2W96BoVIsXr13hT/AwOGZ6BUiCGn/g/zmr3wgsvtO01snN9CJ68NgX1vWob43jq8wY89XkDNgQL8IcDWfD19UV6ejpOnDgBLy8v3gmNkpOTUVxcDLlczpnZC4VChIaGore3F1FRUZzqMMYgl8vR19fHuY6bmxuEQiFmZmY4688kEgkqKio4Z3PLycnxycvL24qvI7PQ6/Ubue4pOjo6yisoBzBLCYmJiZzLGwwGTE5Owt+fs3EGMzMz0Gg0vGlraGhAcnLy0noGkwk49gIo72lMeEXjP71+ic8qQiASTOCSZBn2bYvErvUS9Pb14Uh5M0bEMhxvG8ELXzXjha+aEejlhh3rQpCTIMHuBAlklq+/yWRCT0+PbRPoyMhIJCQkzJJy9EYTSjtGsP+Nk5Yz7dgY7o+Xr9iAb6eGQqS/CsY/3wLZ8cfQMdCKofX7sW79eiyUj4Qxho0R/tgY4Y+HLktEvWIA7+TW4h9tBtz2XjXevWMbIoO8kJGRgeLiYmzfvp2XtGZ1r+/s7OQlgcbGxqKsrIzzxAfMYn9tbS2vOlYLB9c6Hh4e0Ov1MJlMnJhfZmamV2ho6LcAfMiZKAdxTpkFY8xr/fr1nlx9AUZGRnhNSJPJhMnJSV6RoiqVChKJhLcPB98cFyMjIxAIBEvfz9QwJv58J3x78vFP2oFHhu+Er5cXfnb5OtyQHg2J7xkpKyoiHNcIBWhtbcVDP8iEWmvCsVYVCpqVKGpR4bNas0dgoswHW+SeiBBNYGeiDNu3b7dJa0QEhWoKhS1KFDarUNI+jEntGcelw/dkYnts0JnnI/SH8La/A5/ci9i69xCtzMNIfTJa/VMgy9gL3+g08+bM82BsbAwqRSOevGkHbhzS4vvvleM7/3sCbx1Ix6aIAKSlpaGyshLZ2dm8loTx8fE4duwYoqKiOC8rPDw84ObmhomJCc7jxdvbGzqdjtdSRCaToampiReD8fPzw/j4OKeliCWBNLcAq2XiXEsWaenp6ZxHwcjICK+HPDY2hsDAQF4Tf3BwkLc/Rm9vLzIzM5cuaIfW1tZFEwyrZ/Q4nvdPpJc9CD/jGB433QV1ym140HMc39m5ccEv99ytEvdsDseezeFmZ7H+CRw91YsjNV34qHYSBhPwSk03tsdqkBUfjK4RDYpalOgeMQdZRQZ5Ys/mMOxaL8HWqACcrixBZtw8/YrEwHdeB2J2QdD6FUI6TyCk50vg1IvQewRDGLcLgugdQHQ2IN0ACARnmUe3xXrjrz/MwvfeKsO+10vw6i1b8a0kKSQSCVpaWnhJh25ubggLC0NPTw8vvYfVF4KPTiEkJAQqlYqz34+vry8mJydBRJzHZVBQEEZGRjgxC8uSO5Qxxmi5kXtL4JwyC09PT87KTSLCzMwMp01wrRgdHeWsGLL2MTIyAj67tavVari7u/PylJyamoJerz+LNiJCeeco/nyyE5JTb+Jh9n9QCSX4Kvt9/DTnEowM9ECjES/IKKyYb29VxhiCBBqkigZw84EL4OUXgJL2YRQ2q1DYrERBsxI+7iJkxQfjnl1xyEmQIDp4tkXi9Dx9dXd34/bbb8fAwAAEAgHuuece3P/IHwFVM0hxHDOnv4Rb2zF4nP7YXMHDH/qwDLQEXYuMb10/y+qxTuqLv9+bjTvfLcPd75Xj6b2puDF9PY4dO4awsDBeEmJMTAyKi4sRFRXFeVKGhoaiubkZSUlJnOtIpVL09fVxZhbWTZH5SLyBgYG8fEHWrVuHvr6+WAD8wl154pwyi+Dg4IszMjI4yYnT09O8GAVgZhZ80vxPTk7C29ubl8jb19fH24djrmeoalKLv1X24HBZN1TKIbzg/gdcIijFePQVCN13CFd7BmJmZgadnZ3/n7zvjm/rrNd/jqYty9uWLW/He8SJ7TixnThpS0vDKPRXLrS3t0AHpezLLZTZW6D30jIupRTuLaO00L1ogaZ0e9uxHW/LK96yrWlZsmRt6by/PxQp3j6vPBLg+XzOB+qcJem8z/nO54sTJ05wusZKwjh27BhmZmYCvSJ+YrsqPwFX5ftSynqLE1ESIYR8uuy5QCDAz372M5SVlcFisaC8vBzXXHMNCgsLwcTnIbzidhgXF9HT/jaKwy0IHXoewsl3UZL7QYg3SI/KIkLw/Ger8MVnuvGtVwagWnLg1vJiDAwMoKqqivMiFovFiIqKokqb8/l8REZGUsXGYmNjoVAoqCyF6OhoGI1GzmQRHh5ONR7h1KlT0sbGxnLsMVnsa52Fx+M5yFUlm7ZqEwCV/wkEX8NBc4y/hiMxMREmmwv/+WcFqh58Dw/8bQTlwhm0xvwA7+N3A9c+iMhbnwcT6rM+zp8/j5ycHKrJ8HK5HFlZWairq8PS0hIqKys3tYDiw8XUROG/RllZGQDfQ+0vjlqJ6JgYlF55PbocqXAtzoKNzYG44lObnlMqFuCxTx/BJ46k4JH3xvDAe7MQikM4lz77kZGRQaULAfhiCjTX4fF4kEgkVMVgUVFRVCMSeTweeDwe56a3yspKSUJCwpWcLxAk9s2yYBgmNDs7W8I1DWo2m6n6LZxOJ0QiEVW8wmQyUQ0qcjqd4PF4VDUcWq0WcfHxeP7cLH7+xgAyncN4NFWFav4QJJpOQCoDbnsDSD0aOMZqtcJkMlG5R35YLBZIpVLYbLbApK69wvT0NHp6egKivCvhcDiQNvsqJA4tlk7/DyL5W39nQj4PP/5YCZKiQvHwu2NQG6PxSeMwrqXQMImMjAy4fFx/I5lMRl0kFxMTA6PRyLk1ICoqCkNDGzl1m8NvXXBxq8vLy8Hn8/c8yLmfbkhWQUEB5wCMxWJBUlIS55PTxiv819hTS8TjgqLpNWgme3HA2otm/hhEIhegZQB5CVD5eeD4V4Gw1TGJ8fFx5OXlUZdyz8/Pw2Qyobq6GhqNZlUMY7exvLyMj33sY3j44YfXkbrJZMLI2bdwbP7P8OR/BN3GcByz2bZNiTIMg69enYukyFB8+9UBqIwCJGfM4mA291qI5ORkqFQqzoFOf3zH6XRyrueJjo6GWq3mnBETCAQghMDr9XLO1vgDo1ye6QsjDHaxk3Bj7CdZyDMyMjhHBa1WK1UJ8NLSElWthMvlgkAgoFqQer1+665UrxuY7wamm+CaaACU7biGOMGCgTkmD8KCz/iG+6RXA6Ebu1hOpxNGoxElJSWc7wvwWWJjY2M4fvx4oIAIwJ4Qhtvtxsc+9jH827/9G264YXUfkz/rccLwJzAMH4IP/AiHvKHo7OzEiRMnOFk6n6hIhSxCjM8/3YVbn1Hg9a/KkBjJragpKSkJAwMDVFkRf9Uk11hUZGQktYKW31Lg6lpLpVIqpXCRSCTY64zIvpJFeno6p9UfEAilMKGtVitVG3swlsg618jrBlS9wHSTb1O2AW6fVsMU0nHWeyVYeTk+/q+3IiqaG/H7G9poSIwQgr6+PpSWlq4ihb0gDEII7rjjDhQUFODuu+9e9W9+oqiMtUBQ/xZw9feByGTEXLgXf+aBC67Ik+FTVRn4TeMkZrSLSIzkZmWGhYXB4XBQvcVjYmKg1Wo5k4VQKATLspwLpwDf4rdarZzJIjw8nCr+EhcXR2ZmZmIBcB9xRol9I4vo6OjMlJQUTk8rjUnoRzCWCE0A1eVyQcBjwFP1ANONwHSzjxxcy74dZIXQZv0LfjubglcMaSjMzsTNeUJU5KUinCNREEKgUqnAVcTYj8nJScTGxm5oWdEQhsfjgclkwvLyMubn52G326FUKgOl4H7xmqeeegoHDx7E4cOHAQAPPPAAqqurfXUUpSUI+eP7gNgcoPKLgXNnZWWhpaUFSUlJnGJRi1YXnm1XouZAJKRuIwDuLqm/FoJrViQqKop6QFB4eDjMZjPnZygsLIwqKBoaGkolMpySksJ0dXXJ8Y9AFhKJJItrT4SNg3+7Fl6vlypzsLy8vP3DxHoBdR8w3QQy+h6qVOeA2gsqT/H5wKGbgIwa6GPL8UCDAa/2zCMpMgQP/FshThcnoqGhYdsaiZUwm82QSCRUFoDb7YZSqdxyLspWhEEIgV6vx9TUFBwOB6KjoxEeHo6YmBgsLy/D5XJhfHwcS0tLiIuLw+HDh9d1ea4quOr6P9+U9k/+2Ve8dQE8Hg9FRUUYHh7eMCC6Fr+qHYfV5cF3rzsI9Ui3LzXL0dryuxVcyUIoFMLr9e6ppRAWFkaddaHxKNLT00XwMeoA54MosW9kwePx0rgGLGlrLNxuN/UMU6vVup6QWC+gGbjgVjQDM62A0zdMBxEZsGdfB2nxad8kcqkMbi+LP7RM4+EXBuH2Enzpymx84cosSESCwD3R3JdGo6Ge4To5OYmMjIxtr7MRYVitVvT19SEkJAQFBQXr3vharTbQYMeyLPR6PXp6ehAZGYnCwkIIBILVROE2AI0/Awo/CmStz+TFxMSAELKtCzi7aMNTbdP4xJFU5MsjYVVFBKpzuSA6OjqoiWIWi4Vz3IvWUqDdH/AFRrlmdjIzM8MA0D08lNg3svB4PIlcFwJNlx7gs0Ro9RC8Xi+EfD6g7l9BDi2A44IKdWw2UHyDLyCZcQKDYypfcPPCm6RlfAHf++sgxnXLuDIvHt+7rggZcRfvwS/aQwOdTsfpresHy7JQqVScp62tJIzMzEyMj4/j0KFDnBYhj8dDQkICZDIZZmZm0NLSgry8PIyMjFwUrnnhLl9fyLUPbHqe3NxcTExM4MiRI5vu8z9vj4LP82VGgIu1EFzJQiQSwePxUFkK/uwDDVnQWApCoZBaLDgkJAROp5MTWSQnJwuio6P3VGJvPwOcUq4L2ul0Usnb2e12bm4LywK6IXgnG1A8+Feg7dOA40KxTMwB3xsx4ySQcRyIWG0F2WzjCAsLw7zJjgdeH8brA2qkxoTisU8dwdWF681dmjch4LOOCCFUZeQajQYymYzKepHL5VhcXERfXx+uvPJKanePYZiAJXPu3DlUVVX5iGL8PWD4NeB99wGRmwcKo6OjYbVa4XK5Nvysivkl/KVXhS9ckRXIgMTHx2NmZoaqX8S/+LnW6uyHpcAwDBWBiUQizmtBLpcjLCyMTjOBEvtCFgzDMGlpaZwdcdoAp8vl2ph9WRbQj1zMVky3APZF8AGES+RAwYcvksMWDzgA2F1u/LZ5Br+qHQdLCO6+JhefPXkAIcKNF+ry8jKVNkMwFauzs7PUQ42WlpawsLCAQ4cOoaurK6gsiclkClgHQ0NDqD5aDsEb3wBisoCqL2157MpaiI1GLvz4zRFESYT43BUXn3uxWBwgU65xC38/Bg1Z7LWlIBKJ4Ha7OT/bYrGYs/yfXC4HwzDcuy6DwH5ZFhG0NRA0b1i32+3bn5AL5NB80bWwGXw7RaUBeR8AMmqwGFkEldUny8YF7w6qcW+zA1rbKK4tSsC9HypEaszWb2Ta7AxtKpdlWdhsNqqiMpZl0dvbi7KyMoSHh4PP51OnVdd2jzocDhhevx8JhnHglj9dnG2yBRISEjA8PLyOLJrGfK31936oYJ3yl1QqhcVi4bz4/WTBFcFYCrQQCoVwuVycyUIkEnFWIpfL5fB4PPRzMymwX2SRSNMG7vF4uD28hAAL5yEZeglRxgFA0wnYLmSOIlKAnPcHYg6Ivlik41CpIHRt36ijNNhw/5lBvDusg1zKxx9vP4pTudysBc6f4QJoLZFg6kRmZ2cRHx8fIBjaOoyNVLgzogVgB5+AJ+cDEGRfzek+/JmElZYCyxL86I0RpESH4pNV6wuqgnEr9tpS4PF4VPUcQqGQav6IUCjkPB/lgjtJF7ijxH6RhSQ8PJxzldGm4iKEAIZxn9UwdcFysOogB8CGJQLZ71tBDhmbirAELJFNYHd58WjDBH7dMAEBj8G/X5GO43EuHOVIFMEU0dFaIiaTiUoYiBCC6elpVFVVrfo7V8LYdFJY40/AZ52Yja0GVzkgf9u21WoN+OOv9aswqDLj4RsPQyxYv/ho3/whISHUg4ho4XcruJIFjaUA+LIhNATG5/P3VLh3W7JgGObnAGYIIQ9f+O+3AMwSQj5z4b9/BmCeEPLQVtcRCoWcP0jgjUOIL2e/khyWL8xVkCYCB04BGTUYWI5CRumVCOf41nG5XBumZgkheGtQi/86M4R5kx0fOZSE73ywADynmUoGfjsy2gjBWCI0al0WiwUSiWTD+9qOMLac65FRAzL8GlLb/hNE+w6Ymq8DmSc3JWo//KlKqVQKp8eLn741ikJ5BD5yaOP0ukQigcFg4Px5/QuZFjRxEb9bwTVzR3tP/tQpBajIgmEYL1bXZTxPCPnRpvfD4ZytAD4O4OELU5vjAKxcldUAvrrNObiRBSGAcQqJ6neAPz3jIweLyvdv0gSfxZBR49tiswIPpK29HQLKQqa15uyEfhnf/+sgmsYWkJcQjufurERVlq+gan7eQLWQNw247iKWl5epMkZ++cDNsBlhbDsAqOQTYPI+iJlXf4DU2T+DefIjQEoFUPM1IPf0pqSx0lJ4pk2JOaMdT95+ELxNhIZpFxqPx9t2rupaCAQCquI+WreCz+dTWQq0nyGIkQB2Qshhrjtz+VZaAPz8wv8vAqAAIGcYJhqADUABgJ7triMUCjfOFxmnfaTgtxzMc8gHgLD41eQQl7Pt24oG/u/V6vTgkdoxPN48hRABH/d9uBCfrEpfpfXAsixVepJGo9F/ftrfmaYNG/BZFttZImsJw+v1chsAJJbCfvgO6E58CYnqd4GWh4HnbgISioGau4HC6wHe6u9PJBJheXkZZocbv6wdw4kLAsObwf8W30v4YxBcfzuGYYJyObmC9vx7PT9k22+FEKJiGMZzIS1TDeAsgGQAVQCWAPQTQrb7FddbFnUPAr3PAksXmmUksRfI4avo0Itx9IOf3FVy2AiK+SXc8cdz0Jqd+JfyFHzzdP4qQdydgLYRLBjdCZprcC108xNGbW0tXC4XrrrqKk6xFLFYDIeHABV3AGWfAgZeBpof8o0yiPmhbzq7/GInrUAggM7ixG/+rIDR5sY3T2/dYBaMpfD3DtqS7yC4IpRhmN4V//0gIeSFTc/P5WYYhnkGwGsAPgDgIfjIoho+soglhHxrm+Ovuummm9646667Ag5z8cADiDO0g4CHsZzPQJX0AYDxLRhanQmr1RqYXM0F/kFEbVrg9woX7jwowvHkzd/SLpcLhBDOKS+v1wun08m54IkQsirYxwV7+R15vd5A2jEiIoLTQ+h0OsEwzOqYCGERrz+LoqGfYCrjZsxk3AgAmDF78eakCx1aFiwBrs0Q4qb8rWM8l9t3BPiKAYVCIWdLZK+fo9tuu806NTXF+QtiGGaZEEI33He7DcAXATwCoBsAH0AMgPcAvArgOg7Hn7zzzjsNZCVYlpD+lwh5qIiQ70UQ8tzNhBgmCCGE1NXVERq0tbURm83Gef/BwUGi1WqJ3uIgmd86Qx56e3TL/ZVKJRkfH+d8fqPRSHp6ejjv7/V6SUNDA+f9CfF9RyzLct6/q6uLGI3GbfczGo2krq6OWK1W8vbbb5PGxkbicrm2PW5kZITMzc1t/I/fjybed+4nbynU5BO/biXp3zxD8u/9G/nyE41kSr/M6f6dTidpbm7mtK8ftM9RS0sLcTgcnPfv7+8ner2e8/5TU1NkcnKS8/60z1FaWpqWcFjP5OK6XKbZn6vt2wLgwwAWCSFeQsgigCj4XJGzHI73rPM3GQY4+C/Al84BV/0nMFEH/Ooo8Pa94Hv2tjgG8JFknFSMI+kxeGtw68nV/jJdrtjrQBZAn1bjIgLrD2YePXo00P2anZ2Ntra2bQN5m73FrU4P3DwRXmwbw2ef6sKc0Y7vfDAfr95WiC9VJ6zqp9kKwWSYaEFTiu3HXoYJaGNZhOztKACu38wAfFmQtjV/WyKEcOmf97jd7o0/iDAUOPl14CvdwKEbgdZf4Vj754BzjwFebovBH5jiipUL7f1FCRjRWKA02DbdnzYST5tPDwa0orGxsbFbpn/XEoUfcrl8W8IghMBsNq9yEeZNdjzwt2FUPvgeLB4+IoRe/OrmUjTccwU+ezILjNtBVVdCm2EKJmhMG5h2u91U+9NqohLKWFYQZBHKMEzvim3TtCnAkSwuWBMRhJB7V/ztVkII184et9vt3vrVGZ4IfPR/gbsaYJOkAa9/Dfj1CV+D0jYIZjH797+2yFchu5V1QRuJp02pAaBScwYuVjRyRXR0NJaWlja8xmZE4cd2hLGwsICYmBjweDx0K4344rPdOPmTOvy+eQonc+MhDZPig/nR+HBJEgQXsky0k+OCkS0IJn1NQzC01g7t/rTkBYCKLAghfELI4RXblrHH/RoF4LTb7dw+iPwQFEd+BM/H/gh4HMDTNwDPfBzQn9/0ENrFvPLNnxojQaE8YkuyCCbHT0vyYWFhsNk2t27Wwj/vgisYhkFKSgpmZmZW/X07ovBjK8IYHx/HgQMH8Oeeedzwf61oPK/HHScy0fiNK/G/N5dBJA71/ZYrYLFYqCwL2grXYNTWaEFr7dD2PAWRgr8s3JCdQqtSqTjvLBAK4c6+FvhiO3DNf/nk6/6vEvjbNwDbehFT2sW89s1/bVEiupRG6Cwblwf7W4VpQOsa+RuluMI/4o4GmZmZUCqVgTJorkThx0aEoVKpIBKJEB4ejt82TiIvIRxt334fvvPBAiRHXbAEBCGryMJut0MsFlPVrtAWodHu7/F4qAWUaPpCAHprh8bNcTqdYFl2T+vb94ssFg0GA2f7LvDmF4iB418BvtIDlN8KnPsd8EgpcPb/AM9FSyIYy2Ll4r+2OAGEAO8MaTfcP5gmI9peBtpBNAKBAEKhkEqnUSAQoKioCN3d3VhcXKQiCj9WEsbS0hJGR0dx8OBB9MyaMKQ245NV6QgTr3jAXVbAYwfcF59jrVZL1TQH+FrradOgNJZIMFKOAJ3bQmtZ0Oyv0WggEAg2foB3CftCFoQQ4qZ49a/r4w+LAz78EPC5FiC5DHjr28CjVcDoG8AFwRgay2KtGGpeQjjSYyV4a3Dz7zoYS4E2pkDjVgBAcnIyZmdnqY6RyWSIiIhAW1sbjhw5EtQCkcvlSEtLQ1NTE4qLiyESifB02wzCRHxcX7qiu1jZDjx6HDDOAPkfCvx5bm6Oahi12+0Gj8ejtkRo3RxaS4Q2c0JrWdC0s6vVajAMQ/cwUGLfxhcSQmxcuwA3Ff1IKARueQW4+SUAjK+k+MmPIswyRfWGXUsuDMPg2qJEnJ1YgNmxMenQWgqRkZFUloJIJILX66WyYPwiMjTxEZPJhIWFBWRmZqKvr4/qe/PDYDBgcnISubm5GBkZgW7JijP9atxQlgKpWAB4nMC73weeOA0QL3Dr68CR2wD4YhUCgYAqWGkwGKiEjwH6iXa05BKMlCNt24B/yh4XqNVq2O32f4xZpwKBQKvRbF3P4MeWCkEMA+S+H/jCWeADPwE0/Qh/7kNIPPcjYJl7Z+haS+HaogS4vQR1IxtrIISFhe25peCXsOcKgUCA2NhYcI0HrYxRFBQUIDc3F+3t7RgbG9veMmO9cHT8ERNv/hozfY04drQCubm5yM7OxkOvnoXLw+KWynRAowB+dxXQ/HOg9Bbg860+JbILGBsbQ2YmnVSkVqvlrNQN+N76DMNQLUxat4V2/2BGSdJo0c7Pz3sNBsME1QUosW8anISQ2c2k1NZCIpFsv9D4QuDYXcDBj4Np/Clk7b/xxTNOft03FnAbxSa/peB/+5SmRiM+XIy3BjX46OH1JrLfUuCqUC4WiwPlvVz92sTERCiVSqphSTk5OWhra0NSUtKW19komBkfH4+ampqAAK9EIkF8fDykUmnA0tFoNDCbzfAOvoaCvvsRELtrDQXisiGPy0WhWoTbwxOQPTIINP4ECI0G/vUFIO/0qntYXl6GzWajGgFJCMHi4iLV3FeTyUQ1nQ7wxURoLJG9JheAzm2Znp62EkLUVBegxL6Rhd1un1SruX0WiUTCPY0oiQFOP4hOUoyKxb+Cefd7QOfjwDX3+wR4t2mR9j8gPB6DawoT8OeeeTjc3nXamtHR0ZiamuJ2TxcQFRUFo9HIWaQmJiYG/f39VFH2kJAQyGQyTE1NbTpacausB5/Px4EDB5CZmQmLxQKDwQCtVguXyxUYpSiVSiEXqABBKPBvL/kEiBbGgIXz8M6ewy2OWfAYAtQDbP5HwLvu4XXzWwkhUCgUyM/PpwoKrqzh4Aq9Xk8VQPVbmLQxERrxIVqy8LuWXL+rmZkZFwDuKccgsG9uiMFgmJifn+fkkAejcsSLz4Plut/5htuIpMBLnwae+CCg2rh7PjIyEktLS6v+drooETaXF81j610Bvyw7TXwgISEBWi33ADXDMEhISABXUvUjNzcXSqVyQ4Llmh5lGAYRERHIzMxEcXExysrKIJFIUFBQgNTUVAiULUBaJZBZ44s/nH4AuOVlvPm+t1HofBxDH3kdC9e/gJakO+EWrX9Dz8/PIyQkBHFxcVSfbXZ2lvNYQT9oySIYsWTamAgtWdCOw5idnfUC2FPLYt/IAoB6ZmaGk7ngZ1OahRkIQGZdCXyuCfjww8DCeeC3VwKvfh4wr/4e/W/9lag8EIvwEMGmBVq0GQ7/ZCwaZGRkYHp6muoYgUCA4uJi9PT0rOoxoa2j2BTLOkA/7FMmW4Pm8QUIxWHIPVSNuMOnkX3BLVoZA7FafThQQgAAIABJREFUrRgbG0NRURHVZR0OBywWC9Ub3N9RTJN1MBqNVGTh9XpBCKEqmKIlC7+KGFfodDoeALqHjRL7ShbT09OcK5uoXBGssRR4fN/b7yvdvjoNxcvAL8uAhp8ALt85Q0ND4XA4VhGSSMDD+/JleHdYC493fXV6XFwc1eL3ty/TfA6JRAKxWExdcBUXF4eEhAQoFAoAu0gUADDV6PvfzPXDjFrGF1CZFRso415buOXxeNDZ2YnDhw9Tl19PT08jMzOTym1Rq9VUwVDAN9yJ1hIJJiZCUydCWw7vcrk8hBDuuf0gsJ9kMTkyMsLZVKCtaIyOjl6fqgyJ9MUuvtgB5FwD1P0Q+NURoP9FgGU3TIdeW5QIo82Nc9PrA6y0bgUApKSkUNdC5OTk4Pz5zcvbN0NWVhY8Hg/6+/t3jygAYKoBEEcC8tUKbEqDDcpFG05kr3Yt/IRx9uxZdHR0ICsri1qJ3OVyQa1WU9VjAD53h8ZtodWMAOiV1f1zVGmVzbhaFiaTCSzLLm2/586wn3UWZoPB4OZa2BQREQGz2cz5/CEhIbDb7Ru7LjGZwCeeBG79m6/A65U7gd9fA7lndp0rciovHmIBb0NXRCKRwOl0UhVnyeVyqNVqKpcqKioKfD6fKo0K+Ny3zMxMzM3NIT4+fneIAvBZFhkn1knjNY/77u949vo4hEwmA8uysFqt1G96wJdizcrKog468vl8Kl9/YWGBOo5C67aYzWZqS4RmRkp3dzcYhmmnukAQ2E/LAkKhcITraPuoqKh1AcitwDDM9q5LxnHgznrg+keBpTmkvn07wt78CmBSBnaRiASoyYnHO0PaDRc4bS2EUChEeHg4tVtRUFCAoaEhKp0Lk8mEvr4+nDx5Ek6nE319fTuXojPO+HRSN3BBmsf1kEeGICt+tS9ut9vR2tqKAwcOoLi4mJMexkpYrVYsLCxQqZcDgFKppD6GtobD345PE9yktUQIIVRq7+3t7Q61Wr19e/YOsa9ksbS0VNvZ2cnpFRvMhChOhVA8HnD4ZuDLXSAn70GkuhnkVxXAe/cDTp/bc21RAuZNdijm11s2SUlJmJ+fp7qvrKwsTEzQ1ctIpVLEx8dzTteujFFIpVKUlpZCKpWitbV1Z5O2/PGKNcFNL0vQOmHA8ey4VTEFnU6HtrY2FBYWIi0tjZMexkoQQtDf34+DBw9SxSo8Hg+0Wi3nOhjAV1FJWx3qH3hNc2+0ZEEbDG1oaLAQQro4HxAk9pUsLBbL2aamJk410AzDQCAQUDWIUVVNiqVgrroXg1c9CVfWaaDpZ8Avy4Hup3B1Xhz4PGZDVyQ6Ohpms5mqLDsqKgput5t60ebm5mJ2dnbbDMxGwUyGYZCVlYXCwkKcO3cOExMTwVkZU41AmAyIXy2o26M0wmRzoybHZ8I7nU50d3cHBhmtXIA0hDE7O4vQ0FCqDIj/uJSUFOp6jNjYWKpjdDodVVEZQK8FajQaqdyWoaEhAmCU6qaCwL6SBYDutrY2zvYobRt2TEwM1SAaAIjJOIjpsu8An3nPNw/1r19C9DPX4NPy2Q3JgmEYJCYmUtdCZGVlYWxsjOoYPp+PQ4cOrUuJrsR2WY+YmBjU1NTA7XajsbERSqWSO2kQ4gturhkaRIhv1GBsmAgnDkRheHgYra2tSExMREVFxYYxAy6Esby8jMnJSc4zaP1gWRbT09NIT18/9nArzM3NUbsttGRhtVohFoupCGlxcZGztXNB0Mi415kQYJ/JghCyRBPkpCULPp8PsVhMlaqUyWS+DEfKEeCOd4CP/R6wGXGf4Rv4mvG/oBxXrDsmNTWVOsORkJAAi8VCVacB+CwZuVyOwcHBdf/GNT3K5/ORn5+PqqoqWCwWNDQ0YGhoCBaLZcvAq8Q2Byxr18UrXu2eQ+eMETcVhGKg+xwkEglOnTq1bcn5VoTh8XjQ3d2Nw4cP06pDYWZmBnK5nFq1ymKxUAUqN1Qw3wY6nY46wOt3dbigp6cHPB6vg+oCQWK/LQsIhcJRrmnBYAReaNObIpEIQqHQt4j9IsJf7oS5+luo4fUj+ZlTwNv3Ao6LwVa/P0mT2mUYBgUFBeAa4F2JrKwsOJ3OVcVawdRRiMViFBUV4eTJk4iMjMTQ0BDq6+vR29uLqakpLCwswG63w+12gxCCKGM/AMCacAQajQbj4+Oob2nDD/7Sj5wYIW69Ih+nTp1Ceno65zfnRoRBCEF3dzcyMzOpKyk9Hg+mp6eRlZW1/c4roFQqkZKSQhV7mJubo4qJAPQBVNp2/I6ODqdGo6mluqkgse9kYTab67gGOf3NTDSR9IClQIHU1FTMzc1d/IMwFBHv/za+EPsY6sRXAq2/8jWpDf0lsEtWVhYmJ+k6guPi4uDxeKgJkGEYlJaWYm5uDlqtdscFV3w+H8nJyTh27BhOnTqFtLQ0AL6Cpv7+frS3t6OxsRHhC91whCRgSG3D4uIixGIx6nShMLuBn918FPFxcVSLzY+VhOFyuaBQKCCVSqldAsCXYk1PT6eqYSCEQKlUUrst8/PzVHUfXq8XDgedMDFtKrehocHs9Xo7OR+wA+w7WSwtLbU2NzdzFnqIi4ujikNIpVI4HA6qWgh/DGKtSX70YCE+Y7oNCze/DUSlAy9+CnjnPsDrgUwmg9FopJbbKy4uxsDAAHWwkc/n4+jRoxgcHERnZ+euFVzxeDzExMQgMzMTBw8exLFjx3DixAmcqjmBuOURhBRcg4qKChQWFsIuisLT5+ZxU0UaSlLoLIC18BNGXV0dPB4PCgoKqM9hsVig1+s5dTKvhFqtRnx8PHWRlFgsptL1DEaHg7aaVKFQEAD05moQ2HeyANDd1NTEOZUQTH8FbVm2QCBAZGTkujf++wt95uMbiwnA7W8CR24HWn4BPH0DGJshqD4OqVSKxMRE6lQqgEAshs/nUxWsBQVNP4SeZSDTlzIlhOD7fx2EVCzAPddyFXXfHP7Wc3+lLq1s4coUK628/sTExKYdupshmIY2jUZDHa+gSbMuLi7C7XYvEkLovrwgse9kQQgxmUwmA9fFHBsbC4PBQFUBmZycvNqt4IC0tLR1ytfZMikyYiU+bU6BGPjwz33jCpRtwG9OIZW/AJVKRT0jJCcnByqVimrB+12PyspKHD9+HBMTE9RERYU1/SCvD6jROmHA16/NQ0zYzob9eL1edHd3AwCqq6sDmhw07ubU1BQiIiKoy8i1Wi2kUimVVcayLLRaLZXOiL+Gg8alWF5eRmhoKOd4xeuvv846nc6XOV9gh7gUlgUcDsdzr732Gic/gc/nQyKRUGURoqKisLy8TPXwxcbGwmKxrGqNZxifxsXZiQVY/HJ7pbcAd7wFMAz4f/ggSrz91ClRHo+H0tJS9PT0cHKX1sYoRCIRKisrsbCwgL6+PiqXixO8HmDsHVglKUB4IqxOD374+jAK5RG4+Wjajk7tr+6Mjo5GUVERGIahLtxaWlrC3NwcCgsLqa5NCMHo6Cjy87cewrwWKpUKMpmMqvTcL0pMY/VoNBoqQnr66acNi4uLL3I+YIe4JGRhNBpfeuaZZzhH+RITE8FVkg/wLfKkpCTOcnP+YzIzM9e9ra8pTITbS9BwfoUllFQKfLYBSK9CbPN9iG65H3YLd71NwNf7kpaWFugS3QybBTP5fD7Ky8sDVZo0mZlNwbK+6ef/dwyYboI+3ieH979141AvOXD/R4vA5wU/rk+tVqOtrQ1FRUXr3ACuhOHxeNDb24vS0lJq6f65uTnExsZS6X8SQjA5OUnttgRTw0GTOXG5XOjv73cD2PoB2kVcErIAMDI4OOjiKnATjCBMSkoKtSuSnJwMtVq96k1dnh6NmDDR+jEBYbE+8eAT/4Ek1ZtgHz8NLNGVgWdkZMDtdq9zf/zYLuvhr9I8ePAguru7MT4+HlyVJiHA8GvAr48Df7oD4IuAG5/BdMa/YlK/jN81TeKGsmQcyaCrqvTD6XSiq6sL8/PzqK6u3rQ6czvCWJlipamIBHwkMz4+jtzcXKrjFhcXERYWRj0NzWazUVVh+uUSuDbBNTQ0gGGYd/d6vulKXBKyIIQQhmHerK+v57S/WCyGUCikKpf2Ly6aAi0+n4+kpKRVBVd8HoOr8mWoG9HBvVbjgscHrv4+yMf/iBDzNNhf1wBTTZyv50+JKpXKdQFZmvRoVFQUTpw4AY/Hg6amJuh0G4sOrwMhwPm3gd+eAl64BfC6fUVpn2sBCj4MAuAHrw1BLODjWx+gM90Bn98+MTGB1tZWyOVyHDlyZNtswlaEMTw8jLCwsECqlwajo6PIyMigHq48Pj5OXcMxPz9PXY+hUqmojnnhhReMarX6KaqL7BCXyrKARqN5+rnnnuPsiiQnJ1M3cKWnp1MHATMzMzE1NbXqDX1NYQLMDg/OTW18u0zR9XDd+iYcCAF58qPA2f/1LUQO4PP5qKiogEKhCAQ8g6mj8FdpVlRUQKlUoqWlBXq9fuPAMCG+qfW/vwZ49uOA3eTrxP1Cm68o7YKf3aPzouG8Hl+9OgeycO5t316vF9PT02hoaIDH48HJkyepFsJGhDEzMwOLxUIdpwB8MY7FxUXqFOvS0hK8Xi9VoRghBDMzM9QuCA1ZEELw5ptvegA0Ul1kh7hkZAGg5b333vNwtaLkcjn1jIykpCRotVqqtJxIJEJSUtIqkqnJiYNYwMPbm0wsA4DQ1MNQX/cslpNrgLe+A7x8u28aFweEhITgyJEj6Orqgkql2lHBlUQiwZEjR1BSUgKlUommpiZMT09f/A5mWoE/fBh46nrArAKu+wXw5S5fJy7/Ypm1w+3FsyMu5CZI8enqDE7XttlsGB4eRmNjI5xOJ44fP468vDzq2AKwmjCmp6cxNzeH8vJy6iIwQggGBgZQUlJCfezw8DB1/cfCwgIiIiKoNDWsVit4PB7nYwYGBgBggBBCl4bbIS4ZWRBC3AzD9PT29nLa368LQTOLg8fjBaVUlZWVhZmZmcAC82lcxG2qceFHZn4JenO/Blv1N4ChPwOPXQ1wHOUQHh6OnJwcdHV1obi4eMcFV+Hh4SgvL8fRo0fhcrnQ97fHsfSrq4AnPgCycN43c+XL3b6xkPz1xUmP1k9gwU7w/Y8UQcjf+DEhhMBqtWJiYgLNzc3o6emBVCrFyZMnkZeXR23yr4VcLkdMTAwGBwdRVlZG3TMC+Co8Y2NjqcVnFhYWwOfzqVOzExMT1G7L7OwslWv1yiuv2HQ63RNUF9kFXErLAmq1+g8vv/wy50BEWloalErl9juuQHp6OmZmZqgsEoFAgPT09FWFU9cU+jQuhtWbZx14PB7KysvRIToOz00vAha1TzB49M1tr2kymTA+Po6KigoMDAxQCf9shRDjeeR23ofy7nsQbp2C7vCXcfboo2hw5KN/+Dymp6exuLgYCLARQvBY0yQeqR3DsUQ+qrN8dQIsy8Jms0Gn02F8fBxdXV2or6+HQqEAj8fDkSNHcPz4caSmpgZlSWyEmZkZGI1GlJSUoLOzkyoVDviCk1qtFnl5dEVkhBCMjIxQp1gtFgtYlqUSxiGEQK1WQy6Xcz7mhRdesLrd7r9R3dwuYN/mhmwEr9f7xosvvmj74Q9/yKl4Pi4uDgqFgmr4ikgkQkxMDDQaDdUPkpGRgcbGRqSnpyMkJARX5SeAYQbwzpAWhUmbPwxhYWHIyspCn06H8s82AC9+EnjuRuDUN4FT3wrEA1ZibYxCKpWis7MTxcXFdJJvLusFZaspn7rVTCswcsanRXrVveAd+xxk4nDI4MsOmEwmmM1mKJVK2O122B0OPDPswntKD44k8HFjpgf+IDTDMAgJCUFYWBgiIiKQnZ2NiIiIoHpDtgMhBOfPn4fJZEJVVRX4fD4EAgHa2tpQWVnJ6bd3u93o7+9HRUUF9SQwtVoNqVRKnXGZnJyktip0Oh1iYmI4E+z8/DzMZrOWEELXYLQLuKRkQQhZSk5OHurt7T11+PDhbfdnGCaQEqUZgZeVlYWenh4kJiZyfrh5PB7y8/OhUChw5MgRxIeLUZYWjXeGNfj3q3O2PDY1NRV6vR7TSwQZt78FvP41oOHHvhkmN/zWN7HrAjYKZkqlUlRWVuLcuXNITU1Fenq6775ZFljW+Ihg8QIhrNysa7IgodHAyW8AVV8EQlcH6QQCAeLi4gJkZHN58JXnevCeUoe7Th7AN0/no7GxAVdccQWn72u34PV60dfXFwj8+he6n+i5EAYhBD09PcjJyQlqCtjo6Ciqq6upjrPb7TCZTCgpKaE6bmpqiipo+9hjj9lMJtOvqC6yS7ikZAEAKpXqwYcffrjkD3/4AyfnMD09Ha2trcjIyOC88MPCwiCVSqlLdhMTEzE7OxsolrmmMAE/emMEKpMdSVFb590PHTqE1tZWSKVSxH30f33T39/4FvDbK4AbnwESizfOelywDkKMUzjOm4Sh4fcw29SI8BjAmJSAd0XjGsMDIlOA6AzfqMDojBVbpo8sOHxHOrMDd/yxE4OqJfzXR4vwyaoMzt/RbsJqtaKrqwvp6ekbdoRyJYyRkRGEhYVRK4P7jz1w4ABVwxgAnD9/Hjk5OVSWltVqhdfr5ey2sCyL3//+91abzfYM1c3tEi45WQB4580337TbbLZoLkE9kUiEyMhI6PV6KsWivLw8dHR0ICEhgeoHLS4uRnt7O2JjYwNk8e6wFp/aZkH534xnz55FRUUFpBWfARIO+jpXH7satppvQ6NawPEYPoRvPLOhdcADECeOgCssCQv8eEQcvgrixLyLhBCZCgh2FkQ8r7XgtifOwWhz4bFPH8FV+fRK3DsFIQRzc3OYmJjAoUOHtgwqbkcYs7OzMJvNOHr0KPV9GI1GmM1maqWu5eVlmM3moKwKGgu5trYWHo+nlhBCp6C0S7jkZEEIYePi4p58/vnnv3777bdzup+srCwMDg5SkUVoaCji4uKoy3BDQ0ORlpaG0dFRX5lyfBjeGdqeLABfSrS0tBSdnZ2oqqqCOO0YcFcjPM/fAkndfcgHtrUOmNBoiBkGIRYLOnp7IYuQIedADrUfvhFaxxdw19NdCBXy8eJdVShOpssY7AYcDgf6+vogFotx/PhxTvGIzQjDYDBgamoK1dXV1LEUlmUxMDCA0tJS6mNHRkZQUFBAdZzL5cLCwgLVlLb/+Z//WVCr1T+lurndhD8Cfik3AMnFxcU6QoG2tjZiNBppDiFOp5PU1dURj8dDdRzLsqS5uZno9XrywN+GSPZ3XidLdhfn47VaLWloaCAul4sYjUZS/947xH6+gZCFcULcTs7n8Xq9ZHR0lNTX1xOdjurrWoeXOmdJ1rdfJ+9/qIHMGW0b7lNXV7eja2wFr9dLxsfHSW1tLdFoNEGdQ6VSkcbGRuJyucji4iKpq6sjNtvGn2U7DA4OktHRUerjjEYjaW1tpT5uZGSETE5Oct5fq9WSxMTEMXIJ1+klTZ36QQiZNxgMg52d3AV/cnJyqLs9Nyq44gKGYVBWVoaBgQFcmRMLt5egfpS7XoZMJkNOTg5aWlrQ09ODispqhOScBGKzqNwIHo+H3NxcVFRUYHp6Gu3t7dSanoQQ/Pyd8/j6S32oPBCLlz5fheRt4i+7CUIItFotmpqa4Ha7UVNTE9QQIuBi4VZzc3Mg9kPTw+GHXq+HyWRCTs7Wgeu1IIRgaGiIunDL4/FApVJR1VY88sgjVrPZfOmsClziOouVUKvV9/33f/8353RQTEwM3G43tQhMVlYWZmdnYbfbqY4LDQ1Ffn4+yMIkYqUbNJZxON7tdlMP7d0IEokEFRUVvhRtXx86Ozs5fQ8uD4uvvdiHX7w3ho+Xp+CJ2yoQEbKze+EKQgg0Gg2am5uhUqlw9OhR5OfnB1VotRISiQQejwcMwwT1vTqdTigUiqDcj/n5eUgkEmrd0Onpaap6FJfLhccff9xqs9mepLrQLuOyIQsAze3t7Ys03aV5eXnUArh8Ph+FhYX+klkqyOVyhEkkOJYiQf2IDi4Ptw5Pf9bj+PHjgRmgXDtut0JcXByOHz+OjIwMKBQKtLW1QaPRbFiAtmRz49OPd+CVnnl87Zpc/ORfSjatzNxNuN1uTE1NobGxEVqtFuXl5SgtLQ3KAliLhYUF9PT0oKqqCnl5edQCOoQQ9Pb2oqCggPp+XC4XxsbGqHtVPB4PZmdnqfpUnn/+ea/H43mOELLzh2YHuGzIghBClpaWHvzFL37B2a6OjY2F1+tdPxB5G/iFTGjb3gGgqKgIeVInLE4P2qe21wZdmx5NSkpCYWEh2traqF2IzRAXF4fq6moUFhZCp9Ohvr4eIyMjMJvNIIRgdtGGj/26FZ0zi/j5jYfw5ffRpfhowbIsdDodenp60NLSAo/Hg8rKShw6dGjX5q+qVCoMDQ2hsrISUqmUWkAH8AUm/TKHtBgeHkZOTg51Sfvk5CTS0tI4W1SEEDz44INGvV7/E+qb3G1cyoDJ2g2AODExUbO8vMw58GM0GklLSwthWZbzMYQQ4nA4SG1tLXG5uAcqA9c0L5Oc75wh33qpe9t7q6urI1ardd2/mUwmUltbSxYWFqivvx3cbjeZnZ0l7e3t5PE/v0sOfe9vpPi+N0jzeS3VeWgCnHa7nczNzZHu7m5SW1tL+vr6iF6vp/5dtgPLsmRsbIy0tLRs+NutDHpuhdnZWdLW1hbU/RkMBtLa2hrUM0cbYG9oaCByufxNchmsz8vGsgAAQojTbrc/9NOf/pSzCEVUVBRCQkK4azhcgFgsxoEDBzA8PEx9n1HhYTh+IAZvKdSb6m9u12YeGRmJyspKDA8PY2JiYkPXIVgIBAKkpKRgSZqOn3S6ESoS4CfvT4BHNYympib09/cHekJcLhfVtQkhsNvtgR6R7u5u1NfXo6urC8vLy0hPT8cVV1yBkpISxAU5KmAzeDwedHZ2wmazbVqUxcXCWFxcxOTkZFBdrF6vN+gu1tHRUeTk5HCOVRBC8OUvf9mgVqv/g+pCewRmNx/S3QDDMOKEhITJwcHBJK4y6na7HR0dHaipqaFWem5vb0dmZiZ1RP6lzlnc83I/HjgVgZuuPb7qujR6FCzLQqFQwOVyBTWNazP8oWUKPzgzhJKUKDz2KV+5OuCLISwtLcFsNgcmpPkXFZ/PX7X5+xZYloXH4wlofISEhCA8PBzh4eGIiIhAeHj4rjWPbQaLxYLu7m4cOHCAU52MWq3G+Pj4OlKx2Wxob2/HsWPHgnKJ+vv7IZVKqWX2LBYLent7ceLECc4k85e//IW96667XtVoNP9CfaN7gUtt2my0hYWF3faFL3xhibOtRnx56/HxcZpDCCEX3RG73U51nGHZSTK/dYbc+8JZ0tHRQbxeLyFka9djKyiVSlJXV0cMBgPVcWvh8bLkB38dJOnfPEPu/OM5YnNyN3ndbjdxOBzEarUSs9lM3n33XWKz2YjT6aSuTdktsCxLJicnSV1dHTGZTFTHrnVJbDYbqaurI4uLi0Hdi1qtDsp1YVmWtLa2Ul3X4/GQrKwsPYAUchmsSXK5uSF+WK3WJ19++eUFmnb07OxszM7OUmcZxGIxiouL0d3dTWWOx4SJcCQ9Bp1qNyIjI9HT0wOj0Ri0cE1qaioqKiowPDyMwcHBoBS77S4vPv90Fx5vmcJtxzPw6C3lCBVxf+MLBAKIxWJIJJKAtRAaGgqRSLTnlsNGsNlsOHv2LKxWK2pqaqg1KVa6JMvLy2hvb0dJSQm1RgXgs16Hh4dx+PBhavdDrVYjNDSU6rpPPvmk22KxvEwIoROS3UNclmRBCPEuLi7++z333MNZ6cYvK7edWvZGiI+PR1RUFMbHx6mOu6YwAcNqM0LjUsDn8wN9IMFG/MPCwlBdXY3Q0FA0NTVRDUrSW5y46XdteGdYi/s+XIjvXbczJe5LCZZlMTk5iY6ODuTl5aG4uDhospLL5UhPT0d9fT3y8/M3FQveCoT4hIKLi4upG8z8Xaw0hVsOhwP33XefSafTfZf2XvcSlyVZAIDH43m9oaFhbmhoiPMxiYmJIIRQjQ3wIz8/H1qtlmpU4tUXJpa91j0No9GI5ORkjI2N7ShYyTAMDhw4gKNHj2J6ehodHR3bChWP65Zxw6MtGNWY8ZtbynH7Ce7NSZcbdDodmpqa4HK5cOLECerxf2vhcDgCg5PHxsaoBXQAX2AyJiaGaqygH0NDQ8jKyqIimV/+8pcOm832KLkEmhVb4bILcK4EwzBVV1111Zn33nuP8+vA4XDg7NmzOHHiBHVFn91uR1tbG44ePcpZB+Gqn9ZCvWRHakwYJGIh4HGCT7yQy2IQJhIiVMRHqIgPifDC/4oEkIj4CBHyIRH5Nv/fQwP78AMFUwsLCxgcHERcXByys7PXPXRtkwZ89slOiAQ8/P7TFTiUurMZpCtRX1+/b3oWS0tLGBkZCRTN7UY9xvLyMjo7O1FUVIT4+PhNg55bYW5uDvPz8zh69Ci1+2EwGHD+/HlUVlZyPnZpaQn5+fkajUaTRQjhLk2/D7jkXadbgRByVi6XD549e7amqqqK0zEhISGBrlQugjorERoaGugSra6u3vaBMplMuD6DxXlXAlxewO72wu5iYLLaMT+hA8sTXvibFx6WjpSFfCZAHqFCPoSMBvAoIQ0VIS4yHGEhQgj4PPyldx7psWF44tYKpMbsTsHTfsJoNOL8+fMghCA3NzcoN2Gz8/b29qKsrCwQ66AR0AF8KdaJiYmgulg9Hg8GBgaoSeaBBx5YttlsP7zciAK4zC0LAGAYpujw4cMN3d3dsVy/dEJIQGWKRkrPD5VKhZmZGRw7dmzTVOx26VGNRoPR0dFADMPtZWFz+YjD5vLA5vLC4fbC5vJtdrcn8O92lxc298b7mpbtMFsdcBMGHvBwODUaD33iMCIlu9/jsVeWhX926NTUFPh8PvLy8qj7K7aCTqfD0NDQpr8NFwtjpynWvr4+REUg6kOcAAAftklEQVRFbSjisxk0Gg0OHz6s1Gq12YQQen9pj3FZWxYAQAgZTExM/Ntjjz1245133smptpZhmIBSVXR0NJUsO+AbIbC8vAyFQoGDBw+uezNwqaNITEyESCRCe3s7iouLER8fj8hQHiJDd76oCSHQ6/WYmZnxybnpVQhLTt61Go29gs1mg1KphFqtRnx8PA4ePEitc7kVCCEYGxuDXq/36YdsEifYzsJwu93o7OwMujxdo9HA4XBQdZUSQnDrrbcazWbzly5HogBwedZZrN0ASBMSEmaVSiWHDPVFaLXaoMpyCfHlxnt6esjw8PCqv9PWUdjtdtLc3ExGR0d3vfTZf/7R0VFSV1dH2traiFKpDKqEfSPshp7F8vIyGRsbI42NjaS5uZkolco9qdlwuVykra2NKBSKQM3LdtioNNztdpPm5mYyNzcX1H3YbDZSW1tLHA4H1XHPPvusKyEh4c/kMlhvm22XvRviB5/Pv6KysvJPzc3NMTQ+4NDQUMDUpQW5kDKLiIhATk5OUJPCAJ/ZPTQ0BKvVirKysh23qG8Gi8UClUoFjUYDoVCI2NhYxMXFITo6OihlrWDcEJfLBYPBENj8GiKJiYnUaUeuMJvN6O7uRm5uLvXYwJUuCY/HQ0dHB5KTk4MakciyLM6ePYu8vDwqVXatVovS0lK1Wq0uJITQdUXuI/5uyAIAEhISnrz//vs/cdddd3F+6oL9AVce39nZCYlEgoWFhaAnhQG+WIhfno9GEjAYOBwOLCwswGAwwGg0QiAQICIiIrCFh4dvS1pbkQUhBE6nE2azObBZLBbweLwAScXExOypa0QIwfj4ONRqNUpLS4N2adRqNcbGxiAUCiGXy6nHHPoRzIuJEILTp08bGxoaPuVwOM4EdeF9wt8VWTAMI01ISBju6OhIoWF+f0o02GDV4uIizp49i5ycHOop3BvdS19fH0JDQ1FYWLhnVsZauFyuVYvaYrEEJq4JhUKEhIRAIBAE+kJ4PB6mpqaQlpYGr9cLlmXhdrtht9sD1aVisTjQH7JfPSJ+WCwW9PX1ITY2Fnl5eTvSJGVZFs3NzXA6nbjiiiuC+k1UKhWUSiWOHTtGlf149tln3XffffcZjUZzA/VF9xl/V2QB+NyRY8eO/amlpYXKHVlcXIRCoUB1dTXV287vepSXl0OhUEAmk1EPklkLQgiUSiUmJyf3xcrY7l7cbjccDgc8Hk+AGLxeLwYHB3Ho0CHweLyAwpefVC4VWJbF1NQU5ubmgi7dXgmv14uuri5ER0dDKpVS12EAF90groLDfmg0GpSWlqo1Gs1l7X4EcKmDJsFsMpnsD48++ihdBIkQMj09Tc6dO8c50Lg2mOn1esm5c+eIQqHYlWClzWYj7e3tpL29ndBoeOwX9lKwNxhotVpSX19PhoeHdyVI6nQ6SXNzM5mamgr8jasehh9+jQqz2Ux1bZZlydVXX70oFos/RC6DNcVlu+Q3ENRNA2EJCQnK6elpip/HB4VCQQYHB7fdb7OsB8uyZGBggHR1dXGOum8HvV5P6uvryeDg4K5lMnYDlwtZWCwW0tbWRjo6Oqi7eTeDzWYj9fX1RKVSrfs3roTh8XhIU1MT0WrpRIUIIeSpp55yJSQkvEwug/XEdbvkNxDsxufzTx47dswQjKx/R0fHqrfJWnBJj46NjZGzZ88St9tNdf2t7mtqaorU1taS8fHxXTvvTnCpycJms5G+vj7S0NCwq4piZrN5W5Wy7QiDZVnS3t5Ognlhzc3NkcTERBWASHIZrCWu22XbSLYdPB5P4+Tk5BNf//rXNx9rvgH8sv7z8/MbanByTY9mZ2cjOTkZra2t2zZ6cb2vjIwM1NTUgGVZNDU1YWxsLBCE/GeC1WpFb28vzp07h7i4ONTU1Oy4ocwPjUaDrq4ulJeXb3nOrRS3CCHo7+9HeHg4VYUm4Atwnz59elGv199ICFkK6kNcKlxqttrJBoAnk8lqn3zySe6Tei7A5XKRhoaGVcN6ghGu8Q+3CXZQzmZwu92BITzDw8NBD8/ZCfbTsmBZliwuLpKuri7S2NhI1Gr1rhaxsSxLhoaGSGtrK3E6uT8uG1kYQ0NDpK+vLygRnOuvv94YExPzJXIZrB/a7e8uG7IWDMNIZTJZ75kzZ7IqKiqojnU4HGhra0NJSQl4PF7QwjVOpxPd3d2Ijo5GXl7erupOer3eQK+KUChERkYGZDLZnqpz+7EfXadutxvz8/NQKpWQSCTIyMhAbGzsrn4+l8uFrq4uREVFIT8/PyjxGn+WZGZmBktLSygrK6M+zw9/+EPbI4888rJWq/001YGXCf7uyQIAGIbJSE5Obu/o6JDRVvDZ7Xa0traCEILq6uqgC64IIRgZGYHJZEJZWdmeVCuazWZMT0/DYDAgISEBSUlJiIyM3DPi2MtGMr1eD5VKhaWlpUDF5F58Z0ajEX19fcjPzw9K8t8PtVqNgYEBREZGoqKigrqu48yZM97bb7+9V6/XV5HLtfdjG1zenUccQQiZFolEN54+ffpPHR0dMTSNY06nEwzDgGEYOByOoMmCYRgUFBRAo9GgtbUVeXl51KXH2yEiIgIlJSXweDwBdW2LxQKZTAa5XI7o6Oh9sTiCgcfjCRCE2WxGfHw80tLSEBMTsyf3zLIsRkdHYTAYcOTIEUil0h2dz2q1IiQkBE6nE16vl4oshoeH8ZnPfEal1+uv/XslCuAfxLLwIyYm5itXXnnlD15++eUoLg/gymAmwzBob28PCKXsBC6XC/39/WAYBgcPHqQeREMDr9e76i0tkUgC5dY7tTp2Yll4PB4sLi4GekS8Xi/i4uKQlJSEqKioPSW1paUl9Pb2IikpCdnZ2Tu6FiEEo6OjWF5eRllZGbRaLVXh1uLiIsrKyhZmZmauIIQMBn0jlwH+ocgCAGQy2dP/8R//8f++/e1vb2kibJT1cDqdaG9vR05OTlA6GGvh7wUpKCjYkQnMFYQQ2Gy2QE/I0tIShEIhdU+IH1zIgpCNe0QA3zzauLg4xMbG7ilh+sGyLMbGxqDT6XDo0CFERETs6HyEECgUCrAsu2pOCFfFLY/Hg5qaGmN/f/8dVqv11R3dzGWAfziyYBhGGB8f3/7EE0+UfOhDH9qwUWGr9Kjb7Q50HgbbULQSTqcT/f39IISgqKiIs1zfbsHlcsFisaxazCt7O0JCQhAaGhroC/GXdvP5fCgUCuTn5wfKv71eL1wuFxwOBxwORyClKBaLVxGSVCrddzVwnU6H4eFhJCYmIicnZ0e9IoDPYuvt7UVoaCgKCgrWWSdcCOOuu+4yv/LKK7/U6/X37uhmLhP8w5EFADAMEyeTyTpeeumljJMnT676lbnUUXi9XnR3d0MikaCwsHBXTGa9Xo+hoSHEx8cjNzf3kgvV+C2ClQt/JSl4vV5MT08jOzt7FYmIRKJVBHOpYyRWqxUKhQI8Hg9FRUW7ot3pcrlw7tw5JCUlITNzc/HjrQjjvvvus/7mN795R6fT3UD+URbZpc7d7tUGIEkmk82cPXs2kOemqaNgWZYoFArS0dGxa9WUXq+XTE5OktraWqJUKvdEDGc3cakrOLeCy+UiCoWCNDQ0EL1ev2vntVgspK6ujqjVak77b1SH8eCDD1rj4+PfACAgl8Fa2K3tkt/Ann44IC0hIWGuq6sr6ElhMzMzpKGhYdd6EgjxNTD19/eT+vp6Mjc3d9mSxuVIFi6Xi4yMjJDa2loyNTW1q9+dRqPZ8eSzhx9+2BYfH18LQEgugzWwm9slv4E9/4DAAblcrnnssceCXvAGg4HU1tauqvbcDdjtdjIwMEDq6urIzMzMrjWm7RYuJ7JwOp1kaGiI1NbWksnJyV2V5mNZloyOjpLm5mZqOTw/VCoVueeee7wymawVgJhcBs/+bm//kDGLtWAYJicxMbHxzJkzieXl5UGdw+FwoKurKyC2spu+utPpxMTEBHQ6HdLT05GSkrJvojhbYT/nhmwGm82Gqakp6PV6ZGZmIjU1dcfBy5VwuVzo7u5GeHg4CgoKgj73I4884njggQf6tVrtFYQQ+67d4GWEfwqyAACGYTITEhKaXn311aSqqqqgVjohvipNo9GI0tJShIaG7uo9ulwuzMzMYH5+HtHR0UhPT99ViXxaXCqy8I8KmJmZgdfrRXp6OpKSknaVJADfEKD+/v4dp7Z//OMf2x966KF2nU53mhDi3MVbvKzwT0MWAMAwTJpMJmt66aWXUtdmSWig1+uhUCj2pEoTuCj1Pz09DafTibS0NCQlJe27tbHfZLFyVEBcXBwyMjJ2dVSAHyzLriL9nWRQvv/971sfffTRZp1Odx35O67O5IJ/KrIAAIZhkmQyWfNjjz2Wet111wWdv3S5XOjr6wOfz0dxcfGeFR05HI7AAhKLxZDL5ZDL5ftS5LQfZLG8vLxKkTw5ORnJycl7VqdhNpvR29sbaEEP1p1kWRZ333235dlnn63X6/U3EEL+4bUE/unIAgAYhomNj49/8ytf+UrBd7/73bBgHxhCCObn5zE2NrZnVsZKLC8vQ61WQ6PRgM/nQy6XIy4uDlKpdE/qHfaCLFiWhclkgk6ng1arRUhICORyeWAo017B6/UGBhCVlJQERhoGA7PZjOuvv96oUCie1Ov1dxNC2F281csW/5RkAfgqPWUy2e+qqqo++txzz0XtJP7gdDqhUCjg9Xpx8ODBXY9lbASbzQaNRoOFhQVYrVaEh4cHekJ2izx2gyz85LCwsICFhQW4XC5ERUUhPj4eMplsX1wr/3Dp5ORkHDhwYEexj4mJCVx77bUGrVb77xaL5ZldvM3LHn83ZMEwzHcB3AzAC4AF8CqAUkLI9Rf+/dv4/+2dfVCT157HvyfvCQRCyAsEEqEVgUqrFq067ZXeem1vd1bbbe3U1tpb0Xu3VXdsnXt3dVxn63ZG8Vpb2lu3226n15fStb6V2mq1FxWxI1jFigMKiAgEQkJCQnhCQkjynP0DyKpXLZpAgjyfmTODT8g5P+J5vjnnPL8XYAmldPzAv+cC+D2ldN7t+lUqlSt0Ot36w4cPK1NTU0OycbDG5mAAU7gP5G4FpRQMwwRjQlwuV0gxIYPciVhQevMYEUopFApFMEZkJIR0kN7eXtTU1MDv9yMnJydkV/uSkhJ20aJFZrPZPJdSem6o77vJ3P1nAJsAJAMYfHLSQCmdH5KBw8yoEAtCyEwA7wF4nFLqJYSoAMQA+IlSqh34nQMAUgH8llLaQQjZCKCLUrrpl/oXCAS/0mq1e/ft26eZMWNGSLayLIuGhgaYTCZMmDABycnJEXGJvlVMCCEEEonkuiYSif4uLoTP56OiogJTp04Nun8PuoNf6ybu8XjQ19cHIDpiRID+AK7GxkaYTKaQ81gA/UJYWFjo2bhxY4PVap1DKbUM9b23mLsiAF8C+COl9GxIxo0go0UsngOwmFI694br9QD+gVLaQAipBLAfQA2ltJgQcgLAv1NKTw5xjHFqtfpvBQUF4/Lz80PePPf29qK2thY9PT3Izs6GUqkMtcuwwLJs8EYfvNkH64Vc2wYT1CQlJV1XeIjP5wcD0AZjREQiUcRjRID+m9poNOLKlSswGAxIT08PeXXX19eHxYsXO0tKSko6OjoW3umj0dvM3VKMMrGIuFfYUBqAWADnAdQD+C8AeQPXtwF4FUAmgF0AZgP4M/qT+jgASO5wnBiNRvO35cuXd4fLQ9DpdNKKigpaXl5O7XZ7WPocKaLJg/N2sCxLjUYjPX78OK2urr6jHJu3w2Kx0IcffrgzMTFxNQa+WO+03WbulgKoG3jtPIDNd9P/SLaIG3AHHzofwOMA1gMwA3gNwO8B/DeAxQBWApADOAFgGoCKuxyHp1KpNuXm5nZeuXLlZnPornA4HLS8vJyWl5eHNa39cBLtYhEIBGhLSws9fvw4vXDhAvV4PGHr+9ChQ4GUlBSLWCz+LR2euVsKYGqofY9ki7gBd/nhzwfwLYCJAC4A+B8Ajwy8dhrAnwBsCXGMmRqNprmwsNATzpgNh8NBz5w5Q0+ePElNJlPUBpFRGr1i0dfXF8x8XlNTE1aR6OrqogsWLOjSarWlAJLo8M3dUScWo6JuCCEkkxCScc2lyQCaAVwEoAPwKwA/D7x2HsDrAE6FMialtLyjoyNrw4YNO2bMmGG/evVqKN0FUSgUmDp1KqZMmQKr1YrS0lI0NDQEDwk5bg3DMLhw4QJ+/PFHUErx2GOP4YEHHsCd5Fy9HYcPH2ZzcnI6Dh48+KbFYvk1pdQcap+3mbujjtFywJkL4C8AFAD8ABoA/IFSaiOEHER/ZafHBn73NQB/BaCjlP59FaG7G/9RjUbz5dq1azUrVqyQhPORqM/ng9FoREtLC+RyOQwGA1QqVVQcGEZDIJnf74fJZILRaASPx0N6ejq0Wm1YP5/u7m688cYbzqNHj1ZZLJYF4Zo3wK3nLoC9uP7RqY1S+ptwjTscREwsKisrNQKB4DMAOUD0r3AopYRhGKXf75epVCpeODNdSSQSpKSkwOVyoaWlBQ6HA1qtFqmpqZDL5RETjkgGktlsNrS1taGrqws6nQ56vT4sWbBu5MiRI+zSpUs7nU7nvzEMs42Ohm/PCBGx3G4CgeCzpKSkbLVa7eDxeKPlP8jqdDpjW1tb0xMTE4VqtZqEeiNTStHZ2Ym2tjakp6dDqVQiEAjAYrGgtrYWbrcbWq0WSUlJw54VO5IMZik3m81wOBxITEzEuHHjMHny5GH5m7u7u7Fs2TJnSUnJBYvF8mI4VxP3KpFMBJkzyoQCABAfH++KjY2tMRqN+traWkVKSooglCzShBAkJibCarUGr/H5fOh0Ouh0Ovh8PlitVjQ2NsLpdCIhIQFqtRpqtXpYivKMFJRSuFwuWK1WWK1WeDweqNVq6PV6TJo0adhE0efz4dNPP/Vu2LChi2GYtQzDfM6tJoZGJMWCN9qEYhA+n8+mpaU1u91us8lkMpjNZllqaqoglAJFt0IoFAaFYzDOYjB8PRAIQKFQIDExEUqlElKpNGpXHizLgmGYYC0RhmEQExMDtVqNiRMnhlwEaCjj7969O7B69Wp7T0/PDpvN9p+U0u5hHfQe456oSDYUHn/88fFbtmxpzc3N7a2pqREvXbp0XHl5eX0ofcpkMu/48eMvMwwjMxqN4wQCgTglJYUfrtP5G+HxeFAqlVAqlcjMzITf70dXVxfsdjtaW1vh8XggkUgQHx8fdLeOjY0d8UziXq8XLpcLDMPA6XQGXc3lcjmUSiUyMjIQFxc3YsL2ww8/0JUrV3Y6HI5DFovlX+kduGtz/D9jRizee++91lWrVqWWlpY2rFq1KnXz5s2td9pHIBC4aayDXC53Z2ZmXurq6pI3NjYaYmJihDqdjj/cEZUCgQAqlQoqlSp4rbe3N3iDdnR0wOVygWVZCAQCSKVSyGQySCQSiMViiEQiiEQiCAQCCIXCoEv3jVBKwbIs/H5/sHm9XvT19cHr9cLj8cDj8cDtdoNlWYhEIsjlcsTGxiI1NRVxcXERSRN49uxZLF++vLOlpeW02Wz+F0pp44gbcQ8RsachVVVVTZMmTbKN5JhLlizRE0JoT08Pv6ioqPnVV181XL58WSIQCGhRUVFTWlqab+7cuekWi0UUCASwd+/exvT0dF92dvYDubm5Lo/Hw9u3b1/T7cYYOLBMsFgsqQqFQqDVaof05OTSpUvIzs4O15/6d/h8vuAN7fV6g62vr+86Ebh2PjAME8xUxePxIBAIgk0sFgcFRyKRQCaTQSqVRiRw7Ebq6+uxcuVK+88//1xvsVhep5RWRdqme4GoEIs/7a3S15uZkJ6LTUiSuzfPn2S83e90dnbyMzIycqqrq2uOHj0aW1VVJX333Xfbjx07FvPFF18oP//8cyPDMDy5XM5u375dcf78edn7779vSk5OfvD48eN1WVlZQ/acYlmWdHR0qGw2W3J8fDxPo9Hwb3cgOdxicTdEg5/FUKGU4tSpU3jnnXc6q6qqzGazeTml9ESk7bqXGDPbEABITEwM6HS6Pp1O56+pqZEcOHAgoaysLI5SCoPB4PX5fFi2bFnqxYsXpV6vl5eTk+MGgISEBP+dCAUA8Hg8mpSUZNVoNFa73Z7Q2NioEwqFAq1WKxiuzFZjEa/Xi127dvkLCgoc3d3dZ00m039QSs9E2q57kagQi19aEQwH2dnZvc8//7x948aNZgDwer3k5MmTMV1dXfzKysq67du3Kw4dOhQPIKQwZx6PB5VK5VCpVA6GYWQdHR06o9EYo1Kp+EqlkkS6jOFo5cqVK/joo4+Yr776yu33+4usVuu7nK/E8DJmZ+qiRYu68vPz9dOnT58AAAsXLuxctGiRo62tTfzoo49mZGRk9IZ7TLlc7pbL5Q0+n09gtVpVdXV1aplMxler1ZHf6I8CvF4v9u/fH9iyZYvdZDIZbTbbn30+39eUUi6wZgSIijOLsQqlFN3d3bE2my2pqalJ/vXXXzMvvvhi/MyZMyNeOBmIjjMLhmFw+PBh+uWXX3ZWVFT4A4HAbqvV+gH3ZGPkifyMHMMQQhAfH++Kj49vYBhGvXXr1mXFxcW/CwQCs6ZPn85fuHBh4lNPPUVC8RAdjbS0tKC4uNhXVFTUZTQaGb/fX2y1Wv8XwDk6RjJpRyOcWEQJhBBKKT0I4CAhhPfNN988fOrUqQV8Pv85vV4f+8orr8Q/++yzIoPBEGlTww7Lsjh37hz27Nnj2r9/v8ftdhudTufOnp6e/ZTSlkjbx9EPJxZRyMC359mB9kdCiOHSpUv/tGnTplfFYrF+6tSpZNasWYpp06YJHnrooRHNmB0OOjs7UVlZidOnT/eWlZV119TUgMfjnW1vb/8ry7I/cG7Y0QknFqOAgW/XDwB8QAgRX7169cEDBw5MU6vVvwkEApOlUql8ypQpJC8vLyggwxHOfTfYbDZUVlaioqLCU1ZWxtTV1YFS2kEpLW9vbz8GoBLAFW57Ef1wYjHKoP3ZpQdXHR8DACFE3NjYmPPdd989olarZ/v9/ikSiUSelpZGDQYDPy0tTWowGKQ6nY4Mlj9Uq9VhyXxtNpvR3t6O9vZ2tLW1sc3NzT1NTU3elpYWtrW1FZRSyw3C0MgJw+hkTIiF3W7nzZ8//z6Xy8X3eDy8NWvWmF5++WXnSNuxc+dOxRNPPOFKSUkJa13MAQGpHGiDAiJqamrSoT8bk04kEqUolcrxQqEwnWXZlEAgkCgQCIQSiUSg0WjooOu2UCiEUCgkAoGAuFyu2MLCQsbn81Gfzwefz0ddLhdsNhuvr6/Pz7Jsr1AoNFNKW3t7e686HI4rgUDABMAEoB2AmQv/vncYE2LxySefJM6ZM8e5Zs0aK8uysNvtEfFrKC4uVmRlZfWGWyxuxoDvQdNAuyWEEFFDQ4Ma/YVvBNc0IfqrZ/mvaT4AbgCd3Opg7DEmxEImk7EnTpyQG41Gh16v96tUqsCHH36YuH37dhXLsmT9+vVt8+bNY/bv3x+3du3a1LS0tF673S7YsWNH05EjR+QHDhxQ+P1+0t3dLViyZEnHnj17lD09PfyysrJ6sVhMFy9erK+trZXy+Xy6c+fOpvvvv9933333TczJyXFfvnxZumLFCvPs2bNdJ06ciK+rq5Pm5eV1b926tS3SnwsQFJWosIUjuokOsSherkfHxdBO5DQPuPHs1pu6jS9btqyzvb1dOGfOnAlSqZQtLCxs2b17t/LMmTN1PT09vCeffHL8vHnzmLfffltXWlpaFxcXx06YMGHi4PtVKpV/165dzStXrtSdO3cuprS0tGHJkiX677//Xu71eklCQkLg9OnT9SdPnpStX78+eceOHS02m024bdu2Zj6fj7y8vAnLly+35+XlOVevXm2eNm1a2L1DOTiGm+gQi2FGKBSioKDAXFBQYP7222/l69atS2loaJDOmDEjEwDsdrsA6I8U1Wq1AQDIysoazLqMBx980AMAKSkpPrFY7B34ua+zs5Pf3NwsOnTokOLUqVNySil0Ol0fAOj1eq9SqWQBgNu2c9wLRIdY3GJFEC7q6+tFBoPBJ5FIaHJyss/n85GsrCz3sWPHGng8HrxeLwEAPp9PrVYrXy6Xs3V1dUHnBUIIvebnYL+UUmRnZ/c+88wzjs2bN7cDCPZ1s6hSoVBI/X4/F27KMSqJDrEYZiorK6UvvPDCfWKxmALA1q1bm3/66SfZI488ksnn82l2drZn27ZtxnXr1plmzZqVaTAYvGq12icSiX5xSfDSSy85jx49GjcYkLZgwQL7W2+9ddOYl6efftr55ptv6mfPnt29YcOGkAvYcHCMJFwg2TV4vV4iFoupx+MhU6ZMya6urr44UgFdVVVVqkmTJqWNyGAcHHfBmFhZDJWioiLFxx9/rHG73bzXX3/dEg2Rnxwc0QJ3N1xDfn6+Iz8/3xFpOzg4opFIlg1kWZblDvvQ/xQG/Q5QHBxRSyTFotpqtcaPdcFgWZZYrdZ4ANWRtmUQQshaQkgNIeQCIeQ8IWR6pG3iiDwR24b4/f6lZrP5M7PZPCoKIw8jLIBqv9+/NNKGAAAhZCaAfwTwMKXUSwhRod8VnGOME7GnIRzRCSHkOQCLKaVzI20LR3TBiQXHdRBCYgH8CEAGoATAV1z9DQ5gbC//OW4CpdQFIBfAHwBYAXxFCHktokZxRAXcyoLjthBC5gP4Hbct4eBWFhzXQQjJJIRkXHNpMoDmSNnDET1wTlkcNxIL4C+EEAX6E940oH9LwjHG4bYhHBwcQ4LbhnBwcAwJTiw4ODiGBCcWHBwcQ4ITCw4OjiHBiQUHB8eQ4MSCg4NjSHBiwcHBMST+D4juZXnUCmeRAAAAAElFTkSuQmCC\n"
},
"metadata": {
"needs_background": "light"
}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "from matplotlib.pyplot import cm \nfig, ax = plt.subplots()\nfor label, df in LB.groupby((LB.index-1)//250):\n df.plot.scatter(x='WindDirn',y='Wind',ax=ax,color=cm.rainbow(label/4),label='Q'+str(label+1),s=50-label*10,xlim=(0,360),ylim=(0,25));\nax.set_title('Wind Speed versus Direction - by leaderboard quartile');\nax.set_ylabel('Wind Speed (mph)');\nax.set_xlabel('Wind Direction (bearing)');",
"execution_count": 32,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "LB.Wind.groupby((LB.index-1)//250).mean().plot.bar()",
"execution_count": 33,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 33,
"data": {
"text/plain": "<matplotlib.axes._subplots.AxesSubplot at 0x1a27165a58>"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": "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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": false
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "ax=LB.Wind.groupby((LB.WindDirn+360/32).mod(360)//(360/16)).mean().plot.bar(width=1)\nplt.title('Average Wind Speed v Wind Direction when PB achieved')\nplt.xticks(range(16),compass,rotation=90,ha='center');\nax.set_ylabel('Wind Speed (mph)')\nplt.savefig('WindSpeedByDirn.png')\n",
"execution_count": 34,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "*Have a quick look at this plotted on compass rose - doesn't look that great*"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "compassRose(LB.Wind.groupby((LB.WindDirn+360/32).mod(360)//(360/16)).mean(),['AverageWindSpeed'])",
"execution_count": 35,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.7.2",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"gist": {
"id": "",
"data": {
"description": "Strava/Strava-Leaderboard_Wind_Analysis-Clockwise.ipynb",
"public": false
}
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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