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Analysis\n", + "\n", + "**Author:** Jonah Lee\n", + "\n", + "**Date:** 2026-04-02\n", + "\n", + "**Relevant Links:**\n", + "- https://ubcsolar26.monday.com/boards/9565353662/pulses/9773051025/posts/5062100496" + ] + }, + { + "cell_type": "markdown", + "id": "6dd9be699ae10353", + "metadata": {}, + "source": [ + "## Imports\n", + "\n", + "Import any packages or dependencies for this project.\n", + "Uncomment or delete these lines as needed, and add other dependencies" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "initial_id", + "metadata": { + "ExecuteTime": { + "end_time": "2025-10-08T02:53:08.632648Z", + "start_time": "2025-10-08T02:53:08.628645Z" + }, + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All imports OK\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.dates as mdates\n", + "import seaborn as sns\n", + "import plotly.express as px\n", + "import plotly.graph_objects as go\n", + "import folium\n", + "from pathlib import Path\n", + "import os\n", + "\n", + "# Aesthetics\n", + "sns.set_theme(style=\"darkgrid\", palette=\"muted\")\n", + "plt.rcParams.update({\n", + " \"figure.dpi\": 130,\n", + " \"figure.figsize\": (12, 4),\n", + " \"axes.spines.top\": False,\n", + " \"axes.spines.right\": False,\n", + "})\n", + "\n", + "print(\"All imports OK\")" + ] + }, + { + "cell_type": "markdown", + "id": "829ee411d467224e", + "metadata": {}, + "source": [ + "## Data Acquisition\n", + "\n", + "Obtain the data relevant to this analysis. Load data from saved files, or query it directly." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8b70fb254e70c962", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Rows: 12,977\n", + "Duration: 0 days 07:38:38.295000\n", + "Time range: 2026-04-02 15:37:00.705000+00:00 → 2026-04-02 23:15:39+00:00\n", + "Providers: {'gps': 12311, 'network': 666}\n", + "Speed range: 0.0 – 65.0 km/h\n", + "\n", + "Accuracy (m):\n", + "count 12977.00\n", + "mean 5.26\n", + "std 8.02\n", + "min 0.90\n", + "25% 1.30\n", + "50% 1.40\n", + "75% 11.30\n", + "max 39.53\n", + "Name: accuracy, dtype: float64\n", + "\n", + "Remaining columns:\n", + "['lat', 'lon', 'elevation', 'accuracy', 'bearing', 'speed', 'satellites', 'provider', 'hdop', 'vdop', 'pdop', 'battery', 'timestamp_ms', 'time_offset', 'distance', 'starttimestamp_ms', 'profile_name', 'battery_charging', 'speed_kmh']\n" + ] + } + ], + "source": [ + "data_path = Path(os.getcwd()) / \"data\" / \"april_2_testing\" / \"20260402.csv\"\n", + "\n", + "df = pd.read_csv(data_path)\n", + "\n", + "# Parse time and set as index\n", + "df[\"time\"] = pd.to_datetime(df[\"time\"], utc=True)\n", + "df = df.set_index(\"time\").sort_index()\n", + "\n", + "# Convert speed from m/s to km/h\n", + "df[\"speed_kmh\"] = df[\"speed\"] * 3.6\n", + "\n", + "# Drop columns that are essentially empty\n", + "threshold = 0.05 # keep columns with >5% non-null values\n", + "df = df.dropna(axis=1, thresh=int(len(df) * threshold))\n", + "\n", + "# Drop remaining low-value columns\n", + "drop_cols = [c for c in [\"annotation\", \"activity\", \"dgpsid\", \"ageofdgpsdata\", \"geoidheight\"] if c in df.columns]\n", + "df = df.drop(columns=drop_cols)\n", + "\n", + "# Sanity check\n", + "duration = df.index[-1] - df.index[0]\n", + "print(f\"Rows: {len(df):,}\")\n", + "print(f\"Duration: {duration}\")\n", + "print(f\"Time range: {df.index[0]} → {df.index[-1]}\")\n", + "print(f\"Providers: {df['provider'].value_counts().to_dict()}\")\n", + "print(f\"Speed range: {df['speed_kmh'].min():.1f} – {df['speed_kmh'].max():.1f} km/h\")\n", + "print(f\"\\nAccuracy (m):\")\n", + "print(df[\"accuracy\"].describe().round(2))\n", + "print(f\"\\nRemaining columns:\\n{list(df.columns)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "eff7e1b341d9a342", + "metadata": {}, + "source": [ + "## Analysis\n", + "\n", + "Compute the desired results and present them. Take advantage of Markdown cells to guide the reader through your derivation process." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "4616811f56ac1a41", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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qmO+OHiZpxdnSvrdJWjf657sMc3yrptXV0qU3m/ZtjyuWnEkl0tkUZNvHDjeVdXpeb9180Hfb+ZlSMKc7T6+qkq5m/2tpiWRMKJbOlo7Q11KnfGe7ljZ+VCVuDQTZtz2pVDLGhch3c7vztF7vdvjnu2zJn227lrZ3Oue7YNfSed3XUs3Tu/zzXY5kHtWdpz/Yb441p2tpe12bNH+4P/i1dEudtO/xy3flueYYVQ0r9Hzgm6dzZ5RL2vB8aT/Yaso9AdteOMZsu2XzQenY55vvMobmSd5hFaKNyut1237NazXf6fXWXdMszats+U4vfGlpUnRyd77bcNDkTbvM4fkmbVpR4pjvDiuXjKFZnjy9uqrnhs/l8s1362ulU/O0lTa323MtnV4mrg6357fS91o3fy6XuZaml+VIx/7uPG17r7nezfUcv21razx52va9s0YXmmMhWL7Lmz3MNHTq3NckrRv88l1OhjkGpcslbWu6r6W2QoLJd5Nt11Ir3d3yj66U9OxMcwy0bvLLdxGUYTXvaeWNN922z84/fqTJdy27GqVtW/2ALMO27/TNd3puTUYZVmUMyZXMI235zq+yQ68pMrzABCQcr6UR5jvH692h5eaa2KnX6VX+edolRad057uNtea6ZafXYL0WB8t3uYdXSGZFXk++s285Pc2UAcy219cE5ukIyrAm3x1oCbyWdpdhVfM6zXd+17sQZViz7dmVpuzUquXMflaGzZgY4t7xuOGSVqD3jo3StsUvT1OGjakMmzGiQNoPtlGGtfIGZdiAfOc6tNgENdo310vHtgbJyuoO7unxlJtmyrBa99T6/j7pau70BLK6j7XMcQWSMbZQ3E2+96XKnZUpaUeUSmZhtrRvrTNlWH2f3q9rfZd+ZvascrOu1m10dbnMcrPdzExThm2tSDcBh5YPqkTP3vZ7/bSjSkWy06Vhw35J298u7e1aj5BhigmxlmG1Tsa8fnyluV/q3N5o6jDs0kuzJOuwISYd9jKs9d7MKcWSMTxPOqtapH1Vjfdy2Nr9vYpOCl6GdZVmS9o0T8V143t7PPvRVvTJm1khGaOLpbOmRepW7JaMDG1InqBrafe9o27bpwxrEuaylWFrpaOqOboyrMl3Gc7XUv8ybI3/vaOWYYdIV3uYa6mWYdf5Xe+y0qVwXve1VMuwGvi1iaQMq8dSq5Yzg5VhzX2pw7V0bJFvGTbYvWOMZdhQ9bCZRw2RzKIc6dzVJB3bG33ypAkiziwyeaXp/T2S3tlzAGn9Ye7kUsmdWBpRGbZho2/ZJbMkR3JnDzW9cBuX7fIJlJvjf2KRZIzKN4HVtpW+79XXc+YMNb+ZPd+1az4saRV3QWZP715boNst3Y0Bs9Ml3TSYcJv6W9MRw5Y5TADUJZ5AeXcg3Or125Xh9jbKsQeju7rfr7+1K8sl7g53QP2Zz7Y1UO5Xttbj29PportThv97czXIro3W3QH3E8oKKJtAuX8gXBsH5Ibfdpc2cA21bQ1mdwbZtgbwnbatDQ8ydNsODUX1HNwdrO5yOI6sMmyyR4L86le/aqaS07jIaaedFnJdky6HGEw08ZdU5nLThz4p9KR35ZVXyoEDB+Spp57yDlv67W9/Wx5//HGzzBpzV+dB1K67uszfL3/5S/nrX/9qgn8aBAzFPlFoJIHENr1o229ABlCPRC0wKT3RJbRHYkO71P5rjSfJQ3Kl+PyJCW/NfbCuTh5++CHpcnVJa5rnPbmdeiHzfKerrrrKtIDoSO8y6V7z8WpZ/9EaOe3UU2X06DHS3NIkLS2tsuvgXnn5lZclqytDTlt4qpSWlEhHZ4dkZmZLW1e7/OuJB016c7uyZMGC+bJy5UdSXV0tc+YcJ6+++4Z0urok3Z1m3q9OPvlk0yrwxZdelOZ0T8FIX9N17PR9bZput8gFp54reXl5ZgzqxYsXm9fb0tql0+WWDHeaZHZvu4dbmtM9v0F2V4akudPkxhtujKoF2rpN6+XFZxZLpjtDJk+aLPPnz+9+s4g7P13+8Iffm22XFZfJxRddHFELtHv+8Xdp7GqRr3ztq/2uR2K6tkTMyZA1q9bIy8++FLDtlrR2cbvcsuD4+XLolBkDtjV30G33QWvuDN0n7Z2mcnUwt+aOfNu905rbakFpzuuDsDV3f+yRGPRaSo/EwNbcW/aIaItY/zxdVyNdRaW++a6mWqSsrCdvbNsjUuRp3GPtc9PCPVS+azkormFDe/KdblNpGvzz3f6qnrTVVHvSnZMu7rIhnm3re/X17kef1ty79vu8V4aUSXqbJ9jVmVPku+1I811ttXQVeIJ2vi925+kDB6Qzu8iT76zvpdseVuF7LbXSbb29tU5clRUxtea2rqWdu/dJl3629X2tt4+p9OS7HXvFXVDiu216JMZ8LdVrkpatA44TeiQmtUei9zpqXqRHYrLLsNFdS+mRmIgybMTXUnokBuyTP/79z9LlcktmV7pkuNO99+LPP79Ytu3cLq78DHNvn9OZKS6/+cjaXR3SkdYlaW6XZHd5rgGWG66/Qf54zx3mvtTatho2bJjs2bPHp+5Dt33O2efIM888Y/7WNGgZ9vY7fu+z7YkTJ8pJC04yz//w9z+J2yVm25+//nPy17v/KqecfLKMGzc+pjJsa1ub3HvvIjnyyCPk7Q+Xmm1ndaVLene6LZru8tGVcskll3q3rT1aHnn0Ec8+SeuQDlOv4pIsv31yxhlnyJjpE4LeO977z3ulttVT5srtDKzU1jqXW77xVZM3/vK7P8v5558vFbbRFOiRmNweiUGvpf2sR+If/v5nmTRlkmxZu8mb75TJ2+ku+f3df/Tmu5tuuMn7uuah0RPHyFkXnBv23rFmT5U8dP+/fF7zz9PRnC9US1qbY76bfeIxkl9UJGlpnv3d3QfRKC4uloMHD4pb3DJUR9rTe7SOLqmqrpIyvfeyOhI49L7bf6C78ZlLpGJohezdu8+7bX2fvr9f9hpM6rZdPQ9xbnvPnu2mR+L4yp5R1Ox5Y9eunZKIoU2deiJqEPHll1+WGTNmyKJFixznT7T8+Mc/lgceeEAeffRRmTlzps9rOprkWWedJRdddJH87Gc/izgNqYYeiUmiwbr3339f/va3vznOfWhXVFQUdOhSa3mojGB56aXAIIM/e9S9UTqlo7uVh6FPqwMvHl5asG8KEZk/GFgxnqxtl5Xkm8fq6kaRtjDb1gBfY4ht19pauLg7u9u46PnRLQe1pVnYbUtE27bUdbV7A3UWK7jmeZ4mWWWlYv1SBSWlZv2ikSOkzt2pY1pKena2FLvc3gJmg3RKWVGhWJdn76/s0u21ScX48eLavE6aD7bJqGnTpHDdx1JbW22CglZaysaMlvr6Op+0mYChjXXhtrZdNMLTQr+wpDjgO2mBOi1XW+sFFtKUVeg42GX7DG2Q1uK8vlHfIQ0NraZA0iFt0pjW7vN+q3W4brslo8N321oR2+x8HOj+19/bHE9Bj98Qx3eIbRt1seeNsqxs05qzvqk1YB/bNbS1+X7fZOfpBOa72LYtsW1bk9Qa4hhr6JCyrHxTGArYnwnYdkihjrEI8ka/3Ha4vGHbdlmZ7bzex/kubN5I5rbjyXf95Foadd5Icp4OqSaybbs62sXtf05o6BBXTZO49WJnY9bt7PAev67WNu97ffZ5iHznqm8Rd1ajzzaVNw22vGFPm1lPnzaLN13W69716oO/193h+U7ms4bkBn7vCPKd0z6x52nz+pCetFncul3btv0/21XXLO7MxriupbW6jSF5gZ990NPa3tXcKu48rqUJu5ZmBLmW1sS37ZBS8VrafU3S66j2ePApz/bna2kv3jv6SPD1LvpraR9d7wZRGTbSa2lvlWED9ON8p0FE1Z7WKe3S6T1HN+r9c1q75HbXKLTY6iectuF/X1rb6Wncat+2qnc3B6yr27bXiZg0dAeR7dtuSuu5n9eAg7VtXabrHOzqrguIIU+3dLSZbWSVFXu33ZamaQ6c9qWtrcPnvNpgq0OxaENq/2X17g6pqfXtKehUH6KC3eeb3qAZaeZ13V6W/ZrKtdRvZ6XmtVTzXXt7l0++U5o3NMhmz3f2MpkeUy1dvsd2sGvpweaWkHVR0Z4v7PzznQ5rau/v1GVrGdCpgcPuv3VUMet161/PioHBMOt1DXh2dO+XrJxsE4jq6evYHWjzb41g5xRos2i6/acq8klE/9p2erqrZ1/GuW39zfRoCSj3d+eNaIKDkdK6aR0eV2MvGhS8++67w8ZONP6inGIw1jKnYU/Rg0Bikrzwwgvm8frrr3d8/dxzzzWPS5YsMfMjLlu2zARc/LvX7ty508ytOHasb1TfSTIyZupJ4KzAQYTrBGzvkh/Jcs9rEX1ylOvHLzMzK2ggMVb2tPvvE2v4A6fXBrrwncfDvQ4AAAAAQM89pt43W/fO9qlBEsE+/Uq0wt3Pu3XczhhZ743k+/p/TqL2Udjbe+963OcjNGsI4ETmkWRsJ7LP0kCiJzA12Or0Biszek9Xl6Sn916Iaf/+/fKZz3xG1q9fL8ccc4z8+c9/jqgD1vjx483jjh07Al6zllnrwBmBxCT51Kc+ZQ5mp16Da9askSuuuEKGDBliouGzZs2Sd999V5YvXy5z5szxrqvj8n7wwQdmyNJwvRoxcEQbSAy2vn09l22i8lg/N9J1oqHzAiRT4L6yBxITexPU18IV3uxBVAAAAAAAQt9DdprK33gDicHqETp1hIYo1o8ukBh73YXeO0f6XWP9nETVrRBIRDjB6r6sXnvxsuZJ7Q2aZj3m29tbJDMzx+884A6aP6LJbuSpxNF9efCgzoWqc+Imt/7XolOB3XDDDSaIqFN03XbbbY5zHjrR+It677335JJLLvF5benSpd7p5xAcgcQkufDCCx2Xaw9DDSTq/InWHInnnHOO/OUvf5Hf//735qC2MsAdd9xhMsill16arGSiT8TWIzH0eyL4VHfvX1B1UudEs6cxsEdi8NcGOxoqAgAAAAAibXja2WkFEiVJgcTOfhlItHo7RbKJWIMoBBKRbNYxFiyvJKqxeW/2SGxqapbS0jJpaKiTzs42nyBpR0ezdHR4Gifs2+cZ7tUTdGyXAwdaQp4zrJHSdJX9+5vNe9raGs0+0vft2+eZ5iCVWPsr3kYZVhCxuLhnbvtk+vnPfy5r166VE088UW6//fao6p11JMejjjpKnnvuObnuuuvkkEMOMcvXrVsnTz75pBx++OEybdq0JKZ+4COQ2A/oJNI6BOpdd91lApALFiwwkfVXXnlFjj76aDPRJ/pAAuNQ1sXJjBsdx/Aedr4XSVe/7JGYluY7WXmomwsdwtdqGei5oel5b3t7m7ebvH9hyN6a0LeA4/a+FmmLQy2UJCP4mQjhCoHBWnsCAAAAAFKH597QU/+g1QZaGe8U1NNl+s+614y1PiDYvahW1keyvtPnWgGEWIKRnuER3UHrAKz6gcjqSDz7xqqjiHQfJSr4Euz7A+ECiR22+cDtedJe1xaszsmed3pz9CsN3BcUlMj69WvMyHz2tGqAsaam2jwfMWKUN38cOLBPhg4dFrIuT9ex9lVl5XDzd35+vjQ2Npp6y2HDhkuqycjw/Mbt7bGfY7Se1goiRlL/G6/t27fLY4895g0K6pCm/nJycuSmm24yQ5U+/vjjMnLkSJ/OXt/73vfk6quvlquuukrOO+88c6xrEFGPjf/5n/9J+ncY6PpnjXkK+sY3viHDhg2TBx54QP7xj39IRUWFCS5+6UtfiriLLhIgCZ3Y9KJ7331/lWHDRsiePbukt+jJ3F5w0Avt/v17Q74nOzsnbNB7xYoV5nlhYXHYNIwZM0727dsTcp37779bYrVu3Wrz74wzzpPFi5/0ee3Agf1mv9tde+1nvQWue++9K2B7DzzwN+860di2bYu88soLMn/+KfLqqy/5fFaihLthWblyhRxxxOyEfiYAAAAAYGC5//6/BSwbPnxkwLL6+jqf++i6uoMht2s10vX34IOLHNfXBsFOXn75Be/zRYvulE996vKAdZqbm8xr/qxl9vtjXXbssXNl6lRP75Jly96W1as/lhNOWCATJ3pGAgts6J1mphoKJScnV2pra0xQ4+23XzP3+I899k9JxP27BkV2794Zcp3bbvut9/lHH70vCxacFtFnY/DTgNpTTz1inuvx6U+P04aGese8M336od56rJdeelZ27QqcL07NnbtQxo2bIM8992/pTRrQ2bRpU8h1iovLTZ7Q/Omx0uRP/Y4nnrhQtm3bLNXVVd5zy+LFz9re/aH5X9dbufJt8/zaa4+WVFNWlm8eq6sbZaDQ+mjrGqTxEyclJSUmkKgjQv7hD38w087ZA4kzZ86U+++/X37zm9+YAKLGXI488kj52te+JjNmzOi17zJQEUjsZf/v//0/88/pRKkRcf2HwcVqieYfRNSLnFW4tIJaxx8/P+ICaLiC6ZVXfsbn7xkzDjP//NOgF9q5c08yf9vn4rQHwqyhP/RCM2/efMcLjbX+6tUfyXvvve39e9mydyTZDh6sjWr9RLeoqq31tIrqKcQkg1tGjx4n27dv8S655pqbTC/Kf/7z70n8XAAAAADAQA88FBYWmeDhpZdeK88//2RU98Vf/erXfOoBnIJ8sWppCRxWsK3NM3RhMP5p10bTViBx06b15rGq6oBjINHqrVhSUuatl7F6dWkDYQ2wlJWVy9FHz5Hnn3/K2yA7mh6b4datqKgMG0j0/36AxT9I6B8AD/V6a2tPfgsWRFQ1NVUydux4798acLGGCHVSXj7U2/MvGscdN0feeedtb71XJPlMg4TB6t/0XLdz53bvMKhOHS3U2LET5PXX/xN1etF3zj//fPMvEscee6wZAtWJBgzvvjv2Ti2pjEAikOQeiaGugf5DEPRGV/AgKQn9ahTzDSZqQudkBgYTPYSrNexKMudl1CEe/Levf6faXJAAAAAAgOh4hvP01DdoEE3vYXtzyMJQnNIRbmoS/3t6+zaseQ2D3ff7T31iv6e2z8lmrRPLfkp0nUNSKqswgLmTfiz590AOV/cU6zRB9ryo2SbevONcT+Y0fDJ5CohWbDMpA4hYNGPjp6U5Xchi65EYjUReP7u6OgdAIDGxN0xWwSe5BZHAQCIAAAAAAOHYg2fp6WndcwT250Bi6EbW/vUh9u/S8zxYXUpX0Htra7lnbknP81jmkEx842XqAmA/vkIefWF2lTviY85+HIc7pIPNvRhdPWhkPRJDreMUSHSeh5U8BUSLQCKQZNGUH+2t38K9P7EF08RdQPuiVWO0wUurhWKi9BR8klcQsQ+3YkfhBwAAAAAQ7j5dA4iee0hPILG/9Eh0qtuw0hr8PV0heiR2RdUj0c63p2Kaz2f1ZSAxXA9NpJZQx1e4Qy/SfB9tY4NYA4n+9aCRfGa4QCI9eIHk4EoE+HD1wx6JyZfYHokDYWjTriQNbSq9HkgEAAAAAMC6bwzW+NY+tGl/CiQ6pSPcva9/42D7Nqx9EEsg0XeYU9/pW+iRiP4jVLQwdCQx0nzvGf7Y3iMx9PvS02Md2rQnz2mWjaThf6i0aB72r1tN/FDDQGpijkTALo44TXt7m+zbt9dMCq4TZ2dn55gLmE7wHU+PxGASO7Spa0APbbp69ccRrdfZ2SmbN2+Q3Ny8oOusWrVSsrOzpbi4VIYMKffeYBw4sF+qqw+Y1/RA0f2vk8LrhNJbt27qXqdnYun169dIaWmZeb23eiS+++4bkp9fKLm5uVJXVyv19fUyfPhI8z327NktBw/WSGnpEMnPz5dRo8YSmAQAAACAQSRUkMA+XGhHR4e5x+0P2traApbt3LkjbL2D3nNXVAwNGkjU++H29nbJzMw0y7S+prCwMGQjXd/lnue7dnnSsm7dJxF/p5qaaqmtre6uF/L07NJ9vmPHNpkyZXrE23FOF1JdqOrA1tbWkO/dtm1LRJ+hdZu7d/fkw2TF4uxB/draGlPPFs6aNauCvnbwYK03v7S0tJhzRX9pNAEMdAQSgQR5/fX/mEKhZezY8SaItHz5uxFvo7y8ImDZiBGjZNiwEQHL8/MLpKSkVAoLi03AKhqHHz5b9u7dbZ5r0LOiYpj3NQ1CaWE3VuPHT5aGhgbv35o2LUTbHXbYUbJv3x7Zs2eXJEIkBQ314YfL5eOPPwi5zvLl73ifH3nk0XLooUea588++3jY7dsLZG+//Zp5vPbaz0oi+N/sFBeXBKyzdm3gjc2WLRsdt3f66edJZWXP7w4AAAAAGNgaG3vuxf1p0K2jo90810ay+i8YrYfIycmRTZs2yOzZR0syaYNXf1Y67XUl9sDnzp3bZf/+vd6/d+/eGbCNPXt2yjvvvC4nnrjQrPv880+a5SeffGbQRtyjR4+TDRvWyowZR9jmSPQ0ll62rKeuQI0YMVp27druM7Tj0Ucfbz7zk09Wmn8qLy/f1FlYwYzW1hbHhuHTp88M2khafw+gN3vYrVr1oc/fxx8/T1asWCoNDfWO62uj/VjY67k0z+o/O62Xe//99yLenr3zwEMPLYopTQCcEUgEEsQePFNNTU3mn91pp50jL774jONFf/bsOZKTkxuwvLCwyLzPn7aqO++8S2JK65gx48w/deaZ5/u8dskl10g8tPfbggWnev+eP/8UeeKJh3zWOeKI2eZx0aI7o96+fu8rrviM6V14//13R9XKqakp+E1VPAHK3uAfSDz//EvjapmoPWgBAAAAAIOHveeNf/BNA1pnnXVB0Pfq6DXnnnuRz7K5cxdKWVl+wLra4Pajj953/Jxo6b39yJGjTQNqbYg9btwE2bLFM+qPZdq0Q+WNN/7j/VuDcZFoamo0j9ob0KK9A4MNbVpcXGweR44cFVDHY2dvMGzVa1x11Q3mcefObbJ9+9aANNjrGXSko4yMDG+69DtrEFL/WUEce6N0bUgO9OjdoTonT54m48ZNNP/+9a9/mN6K4Vh5JFy9X7j5P/VcE00gMZpAq9Yvaq9lAJFhjkTALo7RIpzG6PZfpq3egrV8G6wjVSS6oZR1YxTtZOP6PvvNQyT60zDqiZ8jsR99OQAAAABAkoc2DX0PHd3tZuLuJzs7O0xvvp7Kf1fYtGvwMRJO8yXqHGzh6xNcMd9/R/I+/7oG/3nh/AMhzPGGvpTMoXWjmeIpctR3AclAIBFIUoFdC3r+y/TaG/z6O0gjiQlmFaBjKchE29KoPxXWI5kjMRqRTGANAAAAAEiVQGLf1Elog9/09NADpsUbSPTfR+G+azz7Itx7NU2BgcKuAVM3gb7X+8dD8s4NaWmJ37Z/fRdzjAKJQSARSBCngmxgIDF4q7bB2iOxPxWYnCZxT9Zn9fceif3puwEAAAAA4hcqIJWWlh7m3ZHfb9pvJ+O9tfQEErVHYuSBRP85FKMRamjTSOpuEtMjUb+sK0SPRKf1gb6RzPrK3uiRGE9+BtCDQCKQtAK7U4/EUBevwXlRS3SBN75AYmuUnxW6VWBvIpAIAAAAAIi1R2J6ev+sArQCiT2V/+4IAokdUdYfuP16JIbfF7HGHcJt25OkcD0S3RH/rkg9vR1YTmYQLhk9Ev33D4FEIDFCjx0ApJh4Lo7Nzc0+f+tk44ETjruCDq85WFvH9KfvVV9fF9X669evkdraGjnssKNi/sx161bLlCnTpb8FEl977SVZtapcRo8eJxUVlTJ8+MiEbRsAAAAA0PtWrFgaNKCVyDkSfdeNL6jR0FAvRUXF3r8bGxsD1gk/p6GHf33LgQP7PCm0JXHbti3S2FgfwdZiu/8ON+zqli0bZeTI0T77MNyciLt2bZf29uhGWEL0srMzzWNra+w9XpNJ87TWT+3Zsyui9bUXcldXZwI+154XEhvEbG/vSNB22oLmH82TnsYKAOJBIBHoRUOGlDsunz//FBk5csyg/C30huDYY+dKa2uLFBeXSm5urve10047x9w0vPXWq+bvGTMOl6qq/XLUUcfImjUfy6ZNG8zyBQtOMxd+3Zb9BmLOnHny9tuvmeejRo2RHTu2ybRpM6W4uMRsZ8OGtea1WbOOldWrP5amJt8bknHjJppCvL63o6NT9uzZGZD+/fv3ypIlzwUsHzt2vGzdutkUzPLy8sz3cPLOO68nKJAYfB6HiROnSFNTk+zevSOqbVZVHTD/Ro8eSyARAAAAAAY4vX+16hjKy4eaxrTZ2dny/vvLpLy80rveWWddIM8++4R5fvjhs+TDD5dHFTibMeMIs/2XX34h5JCpeq99zDFz5eDBamltbZV9+/aYxrZ6z28FPfU21z5voPUd7AoKCiNK18aN68Kus337lqCvFRYWy9y5J5mgQ2FhUcDrem8/bNiIkNvft2+3z996H28PbOiwrFu3bpLp0w+VoUMrJSsr29RhhELD396RmekJJHZ29s+hZNes+UTGjp3geJwfc8wJps7spZee9S6bNGmq1NcflN27PXVdJ564UF5//T9Rf+5hh83yPs/OzvGZNkg/V5dpndUbb7xs8sjkyYF1YBMmTJZNm9Z3p2uabNiwxjz/5JNPwn7+pz51uTz++L8cX8vPL5DGxgbZt29vyB6bTvVpjBgMRIdAItCLggWCtCAwmL/z1KmHOL5mFcA1yLh8+bsm4GeZO3ehN5BYWlrmWIifPHmafPzxB+bmaOHCM3xe056EViBx+PBRsnfvnoBAohaiNJCo2xkxYpTcf//fgn6PnJwcqawcYQr8at68U+Tee+8yN2gaiFu06E5JJi3gBDt+Tjhhgfd5qHRcffWNZp9ocDO6uTIAAAAAAAOFVceglexq4cLTfV7XIKDFCiRGMwJOVlaWGd1GafDCCv5VVg6XUaPGyvLl73jTUVBQYP6pvLx8E0jUQIIVSNRhO7XBsVPlvwZ2tJdhpGlz6n0VzTCQ+jka8LCel5SUmroFy3HHnSiJot8tWF2Qf5qPPPKYhH0ugisryzeP1dWBvWL7g82bNwbtETht2gzzqHVn1mhcWo917LEnmLorNX78pKgDiWed9SnTGMFSWjrEu309v1ifu3evJ4B+yCGHSlGRb2Bcg/P2QOLxx8/zBhIj6Smo30l7Yq5cucJn+bXXflZ27Ngq//nP8z7LwwUSc3PzIvjmAPz1zwHSgb7Uj4biTB2h93mogn+wuQLs79FejE6FE6sgoa9HNo9B4Ht7a+hWz5wJ8X2WJ63h55sAAAAAACAS/veToYbsdHqPZ85C3157Pe+3tumKeVhRz3Zj62EWW48l37TGUmfQ23PgYTBxJXRuwMD3u4Mcp1YdWWD9Uqg0RDp3azT1VpH2SAQQHWqPAfS5cNfzeAOJWmAI1cpJCzrhChV9XZDXj493EmrPzZnT8rg2CwAAAABIUaHupf3vo+2NeSMJJEYbAAw3P2FsDXqTg8AGYjlmwtVN2bNjbx5jVn1VtIHESAOE4b6L/XUCiUByEEgEMMB7JHZGEEgMPVxCPD3yeqtc5pkjMTmnbBo7AgAAAEBqizXoEHifGnw7ToFEz71usB6J7qga9jo1NPbMvxjR24N+fnxccQdggYiPtgRXUoXanH8DfuXUAL43Aonh308IBIgXuQjAoO+RqAX39PTgU8J6hjYNVygJlobeGto0MTcSoW7OAAAAAACpKdaKenvgQO8tQw1t6jRFiKdHolZPxn+vGmxo01jveRNxrxxst4be39yjw/GoCRsUT3wg0Xd7wT8/VI/E4OGHtLTwcyR61gs3HVHkPTUBxCZ4zTqQqpynkQtp9eqPk5WalJCTkxvy9VC9CQsKiqSmpipgeUZGhs/zjo6OoNvIyuqZODqYtrY2x3TqJPOedBRKQ0O943ufeuqRmAOOGRlpZkL6rVu3yPDhIyVe2dk5Acu2bNkoW7duMgUvnexdn1sTV0diz55d8vHHH8opp5wpzz//lMyadayUlw+NKl3r1q2Wd9553WfZkCHlcvrp5/n8lnb//vfDctJJp8oTTzwU8NrJJ58pI0eOjioNAAAMRo899k8588zzJTc3r6+TAvS5TZvWy549u+X44+fFvS0Nftx1152mDH3xxVfLsmXvSEFBgUybNlP6m4ceuldaWpp9lk2fPlOOPvr4uLe9f/8+ee65J8KuN3HiFNm4cZ15fswxJ8i0aTPM80WL7jSPVo+0CRMmm/sRDQjZ33PeeZdISUmpfPTRSlmyZImMGDHa3H8k03PP/dvso/LyCunvnnzyEamtrY5rG/n5BTG9T+9X7dsIdX+fmZkZEJxobW01lfxO7ysqKpba2pqIgg319XWSkRG43gMP/E1iFUkgUb+/1hcEC1gEG261ra015joSpCbPsRX6mNT8YnEq+2n9mi4PVn/l8Kk+f+Xn9+T3wsKigLWdeiRmZwevcyssLIwoFTk5ocuxK1YsDfl6YWGxNDc3e88r1mN19YGIPh8AgUQgIT75ZGXYdfTmUl1yydXS0tLCnrcZN26iY+Dpiis+I9u3b/Fe5J2cfvq5jr0S9SbzU5+63Fuwt+Y20GWPP/4v73r6t1X40ZvZNWtWmZvUJ598OGCb+vratasc3zt//qnyzDOPyaRJ02TDhjU+7xs6dJiMHj0upt9c77Oee+5Z83z37p1h1z/33ItMAUuHfM3MzJJNm9bJ0qVveV8fN26ClJSUmMCq3hj73yBZQcRobNq0QXbt2m6e7927W7Zs2RR1INE/iKiqqg6Ym6tggcSDB2tk27Ytjq+tX7+aQCIAACKmoqi6ukpGjiSQCHz00fty8GBtQgKJGhxobGz0uSfUcmt/DCT6BxHV9u1bExJI3Lx5fUTrWQFBpWV4K5Dofz+iwV6n99TVHTT3eK+++qr527r/SKb9+/fK9u2bB0Qg0R5EPOSQQyN+n1auq4svviqiBrb+LrzwCnO/vXz5u1JRUSlz5swzgQq9H9T7bv9AXElJmfc+/ZxzLpSnn37M22NpypRp5r5Z07Fjx1ZzH63P9X4/JydHFi48Xf7zn+eDpkXvRcvLKyWRrPSfccZ5Ulo6xHGd88672G+Ix8gGf6uvDx7ImTp1hkyaNN40XK6qijTgg1SjgXvNI06N6+fNO9k0FLcUF5eYx4suusoE+1588Vmpqtof8L6jjjpGhg0bKc8++7jjZ86adZzMmHG4Ce77Bu7djse/vd5MlZaWeZ/ruWL27NmybNl7AZ+j54eMDE/DAzV+/ESpqBhq6rkaGuoCOgs47QO7k08+Q/75z3vMcz2XqNNOOyfodEkAAtEjEUiASIYOyMvzVN5oyx9ahAfuP6eWTNpaUVukhmL1CHRi36bV8lGX2XsP2tfR5UpvUCMZSsFp+5WVwwICiWVl5TJixCiJhX/DLS1ohZpA3v/mprS0PGBfB7sBilV6elpEw83GIty2gu2LSIfHAAAgFTCMOWBxJbmcOnDGTgs19UM0urqiH4IxljnqOzs7vPdDoUabSbyB85taioo8AYNI5ObmBvQqjIZ1D21ty2oEat0rO11/rNf0PtmiVSp6XFjbc6oHGDVqbNj06OfpvXl7e3tM38dpe0qDmsH4B2AjvR8ON2+cFRR1u4PXeSC1+M8lqvmluLjUMYim+ct+jFl5XIPyVj50CiTm5xf6NJ7wP071HOzUe9lKVqh6M5Wb23Ou0cYHTg3HdRv284OVDmtb1neIlPbw1QCkdW7Q5+HqEwEEYo5EACnBaRLoaG+CQ1XCOU0an4ib9HjHt3caViLR/L9zfwgkJnpeAAAABiKr7GKNzACkukQWEZ16MQykImiizguxbCeWQKJ1XxBq2gt4f5Wo92tfpyXSXnwhP8nMhdjV5w1xIn0P96xIDHdMx2WwuqLYj0t3RO/3/1ync3qiG8DFcs0BEIicBCAlRHKDFK6wEmob1o2P0w1QPDe78d5c9MbNiX/vv94MJPZua2QAAAYWq2wTS48hYDBKZNnYXk618tpACgwkqswey3bi6ZHY2wbSb2qJpg4+kRX2TpuKdPOJ2s+Jv94lL5DYG41+Mdi4Is43/q/5H5fBgvf+m4w0b1rbD3d+9389/rwf/v0EEoHEIJAI+BuANwoIz7fQFOw3DtcjsSvsTYBTISiRgcRo7/PiKZRFWikQ2COxsxd7JDpXKDCEGwAA9EgEAiUnkNgzSkbqBRJjKXfHFkjsHLCBvd4WzW+S2B58sQfxEvW7er57IvN5LIHESIc2pUoW0dFsEmtdR6w9ZaPNmuHycl8c9z3XHK4fQDy4agEJkPzhQJDI3yhYuSa+HonBCyROY773lnhuyMLdAOnY8k49Ajs6EjMfRTw9ErWiIdRckogM+xAAeo9nSDZ3UnoK6TW7vb3NXDetRjj6Wf7XUV3fqZGOvt/alvWo1whruzTgQSreZ9nLST3Pe7/3r5VvNT/a87c1R1yw/BlNmd3zGZ3ec4b1t+b/tra2mO9Rojl36Ofo5/fnY0Jp+vr6nBjN5yeyB59zj8TeG+bTGto0sbFmhjZFf5b4HomB24y0R2LiGpIwtCnQP/Vd7TYwSCxadGdfJwER0MnRN21ab56PHj1WNm/eGLCO/2TOThM0jxw5xvHm1SqkOfU+tE9AHy174a+0dIjjJNqh3x97e5H77/+bXHHFZ8yE1P52794pL774jM+ynTu3m8dt27aYfDF79nGybNk73v1/xhnnRZ0Gq3fjli2b5LXXXvIuHz58lHmsra1xfN/27Vvk/vvvlmuv/WzUnwkPrRzSfbhw4RkyatQYdgsAJNnixU/K/v17ZeHC0+U//3lezjrrAikvHxrXNq1Awttvv2b+WY477kR5553XvX/r9dJepj3vvIvlyScfkfPPv1Sef/4paWlpNssvuOBSeeKJh+Syyz4tDz74D+/648dPkhNPXBhXWgGnisT77vurnHnm+VJRURnzDtIyqwagdDvJGtq0trbaPMYSVHOi+fHII4+WQw890vz9zDOPmfxcV3fQW77VoKGW1/1dc81Ncu+9d5nnp556tjmvONG0Wvlet1lVtV+eeeZx8/fll18nWVlZ3nV1uXUfMmHCZO99Vaw2b95g/kXjww+Xm392a9askmnTZkgyrVy5Qo44YnbIdfSe5MknHzb7UY9ZdeGFV0R9H7h+/Rpzrtbz/7PPPhHzvUxpaVlE62m+Gj58pCTKsGEjYk5LovLmm2++IokUS54eO3aCbNy4Lux69K5FtPSYsTdiCZVtAgOJvvVY9fUHI3pfpMdpXl5eVOeJvLx8U08Ur0jOs1oHqOjQDsSHQCLgL8byq96wWRdYgov9z5Qp080/NWvWceafPw2WWDdr/hVq1u978slnOG7f+u2196EG3vRG/+yzPyVDhlTElW5ru0VFxTJr1rHy0kvPxvT+ysrhAa/pd6yrqzUVgsFopYtTILGtrTVgmVY+2O3Ysc37fN++PSHTqRWlBw7sC1pBU119wGf57t07zCM3X8ljtWhvbW1J4qcAACxWZX9NjScg0dTUFPfOCTbceLjrshWAbGxs8AYRVUuL55qgvZDs/K/TQCJYPRKamhrj2o42gLMksuyo6dOK09zc3KSM4rBnzy5vILGq6oDP53oqk7vCBjhbW1tl1y5PufmSS66WF154Wg4erJVLL73WBCc1j1vq6+u9zzWP2wOJ9saM27dvDVqZ29Dg2YY9AKbpsYJrKisr2/FeIhYHDuh5M7mBxEhY39tOz53RBhKt60BdXV3MabHXS4SjDT0TlSecgp6RBEJ7Gp9Glg5rm3qvXlhYZK5XPdcpt896Dz98nzQ3x38tjdYJJywIGkicNGmqbNiwttfThMHC5RcQDMw306fPlNWrPw67Jfv5X+u5lixZ7Nmi3znBfi0IRfNjuDxvf/2ii65MyPmnpKQ05Ova0E0bvAGIH0ObAnGwd7cnoDG4RTrOu3Vj3700YZ8b69AO1vuDDR8RvseiO+IhcPwrUKLJE8G+n1UREmxTDL2ZPOxbAOgbiRzOKfi2ws0L7Xa8llvXhsDRGZhzBsnT18NEhqJlbB2RJBlpDLbNcJ9lL8NphbO1flpaekC6Yym7B1sv2P2G/3JrbvnBJfA3ieeQiKduPZp7sP5Rh2Hdr0aflsAeV9Lv2fMhEAv7ce6chV0R5W/7tcR+XPq/LVlzGvbW+SeWOXkBOCM3AUlo5Y3U41sISlyBKPmBxMgLl+GWBwaeEhdIDLYtp3mckBjBK4sBAMkUrhFNLNvyF65YESyQaJV9/bfbL+qiMej0zBmauOhAIo9VqwGhVrKGm1s8kfnXKqNF0tDOPveq3g/Yn/uz5/dQ54hg9w+RByITVw3VXwJHzunoJ4nr5+JphBv+mOt/v0F6OtWwiJ3nkLcf14F5oCdbRB5o970muAZVIK5/NJgABoeBfTYA+hg9duBUOLGeJqOiIlrWe2K9YY+mJ0Ngj8T4PydcEItAYvIQSASAvpHIBhzBghvhGiiF75FIYzr0Bs9xmNggXSIrFD3lc+1JlchgZ7h82lPmDtbQrtPnfBJpINHeIyzUPo+3UjaSSmmneef7t8T+/qlU8d1zv5qIHonufhloDnb898f0YSAMbWofGc15neCvhR9hLdY5EgEMfgQSAX9RXCMJJCJ0wav/D20aTjQ9EgMrFePvkWhVYgQrvOocjkgOAokA0DcSGaQLHtwIXa4INiKAdW0IvP5SyYTEs4qHiRw2NNFzJHoCib49EhPVGCBYMK+nIV2whngdYXskOu0H+7JQ3yHYLoz0d4oskJgR0bb6y8gZiQ8Ipc451QpgJ2Jo0/7YAzH00Kb9P73oX/SQ9z3fhMo3sdXH+Oergd4jEUDiRFY6A1LUgQP7pLx8aMByrUSprz8omzZt6JN0YWAMbdofeiSGanUcaR4oKCg0E3HrJNuZmVkBE3Nb1q9f4/N3uOTW1tZ4J8YOVvGwatVKaWpqkq1bNzm+3t7eHvIzNE3V1QekrKxcRo4cLVVVB+TAgb1SVFRivot+p5qaaunoaJfS0iHm+xYW5snRRx8tqayhoV62bdtsnq9fv1oKCgrM89bWVsnOzjbPm5ubzXHV1tYqEyZMkebmJtmxY5sZrkePj+nTD5X9+/ea3zY7O0daW1ukpaVZRowYbc6f+v729jbJzMyUiROnysqVK83zzMw8KSkpM7+5brOoqNisq8+1dXpbm74nS+rqDkp5ebm5kdLXhg0bIRs3rpOMjEwpLS0z52n9XXW94cNHydix4wdg63YAg4le9/Q8tHPndnM+rKwcbgICep3Lycn1rrd1q+f829jYaK5zem50cvBgrbnGjR8/ybts37493efOEmlqajR/O6mvr/P5++OPPwjYtmf5+wHXZbV06Zt+361atmzZZK4Buu2xY0fJ6NGjva/r9aCqar8UF5fK8OEjvfvDfj3Iyso21+shQ8olXrpPq6r2mWuGXg885Re3SZt+lo7UoPtcfw+9VmgZKy8v31yzKitHSEZGukkPJOJgTkNDnTnugr9eb67poehxV1zcsw0tY6h9+/bKkCEVUlhYJBkZPVUYGtDes2eXeV9l5TDH+zZ/Wha03qvHraZt6NBhcZXP9Rjbu7cnr23btsWkJzc3T+Kh54Bdu3bIiBGjfJbrcZ2X55Y9e3Y7vs9+j6pp0XymNK09Qye7fBoEaH608rfS8rH+Xtu3b5UxY8b5bF/zbH/pkWg/x+l3UHp/oeU/vYexPkvzve63/HxPmdZOf7/du3fKqFFjJFo9x6w74J7GOudrOqI9n2i5WWnZVs/xwfaZ3rto3hjYPYbiaYTr+56PPvK9lvVHBGWQ7B6JWq6JdhqbUIHEgX1+AZBIBBIBf90XSS28P/vs83LVVTcE3MisWPGurF79cdB9pzchWqGuFddaGXTMMceznwegQw89IuKbES1caaDKXvmhN42J7pGoFWxaaRgpq2Jy2rQZIV9XWlHpH5h77bUlkp9fKM8994T5fieffKZZ/sEHyyJJvc9f9iCUevLJh+W88y7pDia6g94c67+ALbt8C9CWadNmypo1PXnz7bdf8z7X9GvlbSTGjh0rGRn5kqreffcN777SShDNB1qZp5UySiuWrOdq2bJ3ArYR/BwZuK5WEG7atN7797x5p8jrr/8nbDo32NpyrFy5Iuh6WgnT1TVfJk2aGnabAJAset0L10tBeyNajXU0WLd79w456aTTHdd/5pnHTCBAG1JYAYvFi58Mm44xY8Z7AwuWFSuW+vz93ntvmUf/66ZVBqmurjKPEyZM8gYtXnvtJRPI0ev2smUiX/3q17zve/75p7wBjGuv/ax5fOutV6SlpcUEmOys1+PxyScrzb9YaXnrnHMujDsdqWLt2k/MMRPst1u9+iNZvvzdkL+tBnn+/e+H5NJLr/GWT/W4URs2rDH/Jk6cIiecsMD7nh07tpqyqiXY9vVezn9Y3mXL3pZ161aHfF84WhTVMumePXvMP4vmhXi2a9FGAS+99Kxcc81NPsu1bKaN4V5++Xmf5Vb5zF4m2rlzm886xxxzgrzyygvmuTY2CHZ+0u8wc+YRppHB2WdHlhdmzTpWXn75BcegWUVFpWlQEOmUC/7lfA30l5UNMffY/vvIanBhfQfd70888aDMmnWczJhxWPf3WWLOZ06/yYcfLjff84ILLgsb7PZPox6z+j6n3rPWfcjUqYfIscfOjXibVllcvfnmK6YMrg30/On3fvbZJ+T88y/1uQdNlaFNdb9qwxTdD3pN0vOMHg/+x6TuQyfl5RURfY4eR4mMo/j2SASiF673t3VtC8wvvo1SLNrYyl53pY3dettRRx0lW7duN43OEq28vNL7fPbsOT71GACiQyARCENvOv0DifabLicLF57Bfh0EtJdUNIFEK8hmsXrvJSaQ6Kl8i7ZSS2+qQ1ViaKtu/acVkRdccLk8/PC9AetoC95gvRA928j0tnrzTXvw4Zmswm9PpY5bTj/9PNN6W5fdf//djp81evRY0zJae6zV1HgqMZXePOtNtLIHEu38h2FzCpzaK7NSOZDov1/OOusC0yJeK7P0uD766DmyZMnihH2e/7FltcJOpGRsEwAiFcmQf2VlZXLggG8FSrBrr/26FsnQfk5lgUWL7gxoGOJEK5c0kPDgg/8IeG3u3IXmmmlV7uv1Qrfr/92d0qjpP/zwWUEreePh6YXYc50PVlYJxj+4ifiusRowDse/bOjUc9Y/P0Q6rKUe59rDzp4Pw93PRUa3l/yeGk7f075MA6zaaGrOnPly8GCNvPPO62b5lCnTAyqUtXdhpAFOKygTbE7yI46YLYcddpTPsmDbXrDgNO99hvb49ac9tPfu3e1z3rFXZl988VXm0Tq/HHbYYbJhw0bzOwYbAtZ+XIY6l1rf0/9eIdK5ZD3HbGCPxERVygfLP9b3th41AH/qqWfLQGP10Is2kGgPzk6c6GmwYG9c6lk+Jeg1ZvLk6RF9jhWMjpbmBW1869/Y0d6rGohtaFP7OS94vrHnKefGDJ7zldaj2Os87cPiJ2KUiEjMmzdf3njj7ZgDicEamqu8vJ7RAWhYDMSHgY6BMBddp3kQ+8tcDEiuWIdwSGSLxZ5AYvKGlOgZ/tR5+/HOz+i0ncDPdHufh/qeVt4LTFNi902wColU4fSbWzf5WvmTyLmKnD4v0dv3YEgWAH0nkvOaU+OWpJwOoxw+UBuQhBqKLdyc4cHKzfq+ZFWo6v62z7EWy9xb6F2RFHP981Gk89VbPeDsx2Ii8pZnaFNJOv885L8feuZEd/mUo+Md0j3cEIzR9Kyy7yen+Q/9y//RnBuCzQXru0lXBOV+d1T3/D3zTfYcT8mpJwg3Z73L+9kDcQjCWHskht5m+HWSc7/hn47AhNiP7d5IAwYb/2FHQ6wZdmjTYOva621kQBiI5z5gICKQCIRBIDF19afCSG8EtoINMxT7DU6oQKL1fexDt4a/ibTyo//+iOSnCszLoQKWA6TEnCShfnOt/En0/umdQCIA9J1IKpedA4nupJZXIgk06BCKoQIKwb6btTx0INF5/sd4aTnBXlkbyVCKiF24YzCaYzTUMe9/LIX722Idv77bdvfZHObRsoZj7fncLp/vYu/RZc+r8Q6h6LzfeuicqIk77/jux2iCoMHvkyL7baxyrf/XjDSQaJ+zzP+3SoRgWcJ/ue6HgdloIvGBxP7C6Ts5BdKBaISazzC67fSc4+ybCTZ3Yn8WrJw6GM8rQF/ijgrw132d6WlVGDiUS6oHGVJHrIWOxBZWeoZpSFaPxNCFL6vwGG0ZMnBoU3dAHrIKdvYWtJEFEqPvkeh/Yx+qTEmv48Af29rnWrGT/MA251gAqRhI9AwlHu35MJ5KnkgqNHWdWHok+s9JF2z40WTtb3okDiw95c3gx7P/a4E99UIHEpPTIzH5lZSdnYEBU6eKZA2Y29MTrkdhPCP0xBOojOS8E8m2e4J3zr+7fV+E+pmCHXPhyrtOgelIe8kmqyHeQGw0kYweiZHcG/ZVgIShTRGPUEN4Oq0biu92XAMueGhHwBDoHQOvlAH0MqebgVQf9jBV9JfGS1ZhMXnp8Q3qBbzqLUhGMmxQiE9x6JHoe4MffkPB5oNKdI/E3qwE6I+cGkv0DN/kSnigNdyQXQAw0CWzR2I858xIKuu111EkjXyincNRA4zJ65Ho9pmHbSBWrqdaBV4kh7H/PZh/kDpcQMk+B16i7ud6J5AYOHdfsB6JidTT4M85j8c6dGok74skCBpJ8DmyoU3dcQ5t6krqPUTw7+ebbi2/D8RzXSTTW0QvudfO+HokxtdTGAgWAIxW8EYUie293xuCnfsIMAKJRZ96IIynn37MTCJfVXXATF5fX1/HPksR/aXQEU2rs3gE75EYW0XLtm1b/Lbj+Q5NTY2ydOmb5nlra4v3MyLZ3zU1VeaxoaHe75Xw7z14sDbitD/99FMyffqhsm7dJ1JUVCJFRcWyb99uyc7OldGjx5rPz87Olr17d0tNTbUUFBTKwoWny9tvvy4nnrjQ/N1X1q79RNas+VhGjhxt9svUqYfIhg1r5cCBfaaS+rjj5kpZmWfS9D17dsmOHVulubnZ/C7WZOqNjf77t0d2dk7Cj0f/SdWXLXtHEm3lyuXS1NQgRx99fMK3PRjpsf3hh8tNZUdbm6eX1P79e+Woo46RadNmyrZtm2XChMl9nUyg33rttZektHSIjBgxWpqbm2T9+tUxbUevXTt3bu8+p3u89dar0tLS7P37scf+aR4LC4uTVKEfep1g5YRXX31FqqpqzHXS7v7775bCwiIT1HHqmbFo0Z1SXFwqZ5xxrrnmhPLee2/J7t07pbW11exn3edWWaGkpNT2HaKrXG9razUBASp8w9u+fat88MEy83z9+jUyefI0aWxsMM/Hjp1gynoff/yBeX3fvj0ydOiwMEGh4OVOvR9bsWKpuUaNGTNOli9/N6Dn3qpVy8w16tBDj5Lx4yea31LXVzt3bos54FNXd9B8r+HDR/qkOXSQvcOn951+f2Xtg5aWFtm6dZMpq1k2blwn48ZN8NlOdfUBn7/feed1mTfv5IAKVA3IJLKMZn03/e6hXo+WU77y31S4PKtf0zoPasBPjzeL9by2tufcY50XIhl9RX9nfW91te97PL/NRG/6rWP1xRefMXPJquXLA8uw27f7HncrV66QnJxcmT59ps+2Nb84p69njvjVqz+SlSvfN/UTlZXDvenWtGrAdyAObWrvUZso/aVNYlNTU8Ay+7FN40nEwrdHuvk/znN0qJEAZEAI9l37S50eMFgQSAQiuEhrZSpST25unhx99BzJzy+I6n3JKKwkc+ikc865yASYdPvHHz/fVFD6f7b9MVbW+7UyyQoyamXQGWecZwqo/t9vyJAKE9A68shj5O23XwvYXm5urgmADRs2UubMOdG7/JRTzjJBM6tSK5hwu1Nv1K2KB6vyQT/PXilh0cCiViLo61u3bpYZMw6TvvLuu2+YR62kra2tMZW0us+t/a/73gokbtq03gSHrCBreXmFuRGZMmW6qTjWCgqrom3YsBGmguPww2dJYWGh7N+/T9auXdWr300rXXJyckzFslUp6GTOnHnmvJ2XlycHDniClHqMr179MYHECD3//FOOyzXP6nxp77zzBoFEIIQtWzaZf++//17c+2nJkufk2ms/6/1bG4c4qa93ruw/5BDna9L8+aeYgMarr7Z6AxzaUEDPs/Zr6DHHeBpgaICouLjEXJ/1HDFq1Fiz/KSTTjfvtwKORxwx27x/zZqein01Zsx4E+DR64pen/R6og1vTjhhgQkEbN68Ufbs2WnW1cZ7GjQaMWJUyH2j53U7e7BAP0NpWW7kyDEm0KjXwI6Odm+gQYON1nr+tLGNPYALZy+//Lz3uZbX9Dh5663XZPfuHSZgYrd48ZM+x7Kvnl5V/rTxlgaLlRWU1PKLf6M7DVpan/n660tMIPGTTzzlOaXHXySBpWDfU8tL9vRb5fPTTz9Dnn9+ccB7tExob3SjZUUNllx55We6X99kym32QOKbb77iLRNruUeDZZoX/L322hLvcy23ffLJyoBAjG73o4/e95aN/J166tmmLGdv/Ddx4hQT1FL+PYZ1G1oGW7bsbfO3f8AzFH3ftGkzZM2aVaZsb32GRe9BXn31RVNu04Ztmm81/5eXD/U2PFTz558qOTnpMm7cOPnoo5Xe38F+r2A910BtJPyD12+++ar3XOS7/BUTGLa+t72RpEijY0NK/x6dGqS0fhN7IFG37d/T1GKVxfVYsBrb6W9gBbX1PU8//ah5PhB7JPbMkZi4Ldr3o15r9Fqn1wBtwKKB+O61JNmc7pXy8vJNIFgbGsyYcXjS04DBxb+RuTag0XKXvbyi92raEDRcnjr77Atl1aoPTb2X0vKYBrpHjx5n/j7ttHOirgvrK07fVdOv11EAiTMQSxlActFiBd5DwWV6pWnF12DukaiVaBUVQ72VB/4i/exw8z1Y27G3ALe3PvcPJGph+NJLrzUVUk60UlAdfvhRJmhm0UoHvTkLJngFVnS0JbzT/DX95RSiv6X+tjrnlt5MOA3TpM/tPQNmzTpOZs061lTw6E23Bg+tmxK9qdBKZ92mpxJlYtg0XHPNTSFf15sV//0YyqWXXiPnnXeJnH76uSED43rMXHzxVXLWWZ+KeNuI3MCspAL6l4qKyri3oZWRocyde5J51GCKE20copVH2qDHutZq0HDChJ6ygAZBrAomDSJoUNLqBWP1YtdrsF5zrM/Ra/AxxxwT8HlHHDHL52+9zui1Rd+rn3/aaWf7vB5sOMVoaZBFRxbQdGtwQr+HVYbQSrTgBkgz/H4olsZvoRqufepTVwR9X0lJmSlvaC8x/yFA/Xv/+A5tGt3v67y+Zw7zIUOGRLQNLQNrIDtcGnT/ab7ScpeVbitw78Saa9T/nkHPEda5pqwsMI0aiFqw4LSAsllguj1lx0mTpppy24UXXmH+RTLXof07WecWbazgTyur58yZ7w1wauWvnhu08YK9rDp27HiZPn26aVAYyWdGItb7rNje5457jszAz7cPc9tPbkRiGto0keVL30CiHut6PdPrgXeNPjrF67GtgR+97yLIgdj0NDLXhjZ6TtVRkyw6OoNH6POBlo20TKTb0n+estwkb72O1gXY61l6UzyN6DX9Wuej6bePTgEgftQEAUA/11OIcvVJgS1RQUyneUTslUbRFhZ7Apex7Zd45/nzH+rNXjHUH2iFmlbwaE88e1p9A4md3qGYohXJkLeR/KaJDpKH+0iGEIpftEMEAuibvGj1Jookz9qvDfb1Y63IcRoONdpK4kTNNeb8uaHnhzZrEEfsk0CiU/lM5+kM91l63NoDhcECidawlE49H2NJs35+Mq6Lum1ru1rGDDXMrv0Y9y/n9MyfGHsarQBtokZHCT4ve1dMaY1/1BTvM79Hx7Xj+tzwx13g6z2NKnz3m5VX7MkYiI29eoY2Tdw2I/tt+uYkTzka8fBvMOJ0Pu3JUwOvYUHsUum7An1n4JUyACDFJOPmKhr+84aEWy/864kKJFqtryUmwVr3xnoT2FPx1T8KsVqJq5VOGki0Vz7Ze3homq1W7NFKdIA5cULvfwKJCdjD3ZmOfQn0rXAVxlaDm0gqloMFEkN/fvDzrVPgJ9rrfKICibFW2nKOi42nTBfL+6zHwPJZqGPY+iwt90QSSLR6XsQ6B7h/mvXzg88z7o6rotgKUtoDoNEe49a+i+U3sfKs5sXEBD8iu1eI/rPiDSRGfizYf9Jk9Eh02qRVdvf/DZ168Q7EIFXPMZrIORLd/fYcz9y7iFe4upPUCiA6SfXvDyTPwCtlAAB6VU/lYvQ3vr6vW63/7cu6EtAjMTbxDpnm1NtC9Zdyu6dHoieQaK9UsFcWazA19h6J/TWQGJrTsGeIjlXRQyU70LfCVRhbDUXi6ZGYyIrSvgokOonk0sM5LnaxVWIGH9o0dKCsp0eilnkCX7cHEj1zguu60Q9tmvgeicH3U3SBxJ7tBM6x15M2V1xl5kRWTAfbltVbL9r9GW9RMrr54OPrkRh5w8vwo6g43aMN5ABCItPen3uUD+TfCP1DuOO7JzifqsdaPz4BAAMcgUTAn/day8UHqTe0qZPIb5Kj75FoVRjEE0jsqwJy8GG2+keBXfeLJ5DY5lMhY6+Y9Qxt2tc9EiWhwh0OyayYThXWXDYEZYHYJeIcGn5o04woAomdvTC0aWIDifENUR5+aFPuBWLcszGU6az3xfa7ej5LyzxOw8zb0+LpkZgWkCdiz4+e75rosqhuzpMm3bYVSAzegM76PvqWwEBi/EPcJa5HYmg9Q5u6erlHojvs8RDpsmg/K7pRVHz3S0+DTBnQPRJ7ht9NZD7qvz0SUze4g8QObRr8OErEeb8vxJMlB9hXBQas+LpzAAACJKvA1leFo3feed081tfXyf79e2XZsncc19MKnFCVP2+++Yqcd97Fji15nSqdsrNzQqbLmpzeGuI0Wvn5BdLY2BDwPFK5uXlBX9u0ab288cbL5rlOUF5ZOUI2bFhj/j7jjPNk6NBhkiivvbZEtmzZKBMmTJa5c08KmCOxuvqAlJSUeZdv3LhOjj9+vlRVHZDdu3fKpEnTYvrcWPe7XVZWtuTl5Yfdz83NTRFvM1RFm9q2bYv3mB4+fJSceupZ0htaWlrkoYcWmd+itrY67MT3dXUHo9r+oYceKR999L7ja9rrVAPK1rY1uFBdXSWxevXVl8zjP/95j/k+06YdYioZp08/NOZtAoOJnpfDKS4ukQMH9sX1OTU1ofOx1eM8kmHU7Ne0SCuiretwpKMGRDuc29Klb5p/yWBde0LPkUijwnDWrFkVsOz9998LWcH5xBMPygUXXBb09eeff8o8jh49ViJRUFBoHhsa6k1Z007/1nKPVR7TsqyWL9vafAOO2pMxKyv4CA3/+tc90tbmuY7aWZW5wfLMBx8sk4kTp8iiRXeG/A5WOXjPnl0+y7QyWK/fe/bslMJCz/d0Yh3Hmsf8v4cV1I9lJI8PP1xuHrWM7NTbM1rh0hCuDOe0PQ2yPv30Y0HX0fOs55h0psfI3r27zfP169dKRUWl43qtrS3m0X5acDomgtFy9zPPPCaHHXZUwGsvvviM97mW6f3t3LnNlF3XrVs9KHskJmM+t3D3F5HcawIDdQhxvd4NRHqNtug9a6wKC2N/L4DQCCQCTi1AbQXQU089W3bs2CbLl78jxxxzguTn58vLL79gXr/wwisY4x6Dvkeif4WRBhPV+edfKv/+90M+FTnz559qKoicWMET37kJ7YHEnkoYDTjaC4BnnnmBbNy41ucGesyY8XLBBUODFjI1fVqBs3XrpoB9edFFV5qbR61cqqwcJrm5+aYS4ZVXXpCcnBwT9NEAmwb/tFJGgyQaAFy8+EnvtqZMmS6jRo01++Pdd9/o+UbuLjlwYL9PgdheKNbgXSIDiVaFg1YyWN9Rg0plZeUmQDps2HApKCgyFS1aGfXCC0+bioctWzaY9fX7nXXWBVEHBnW/6e+ye/cOs5/9fepTl5tHrSzUypfa2hp5++3XpLR0iMyff4r3Jmf48JEyduw4rcaTJUuWyGmnnSMHD9aafXrIIYea79Lerj0IfLd/8cVXmQqc7Oxskzcefvhesy3/G6dzz73YBHW1wl17X2qQ16Jp7y3W8R8uiBhra/JgQUT/CiYNXmgAN5JA4pAh5bJw4ZkmT+uxM2bMOBOItdPv8847nuOfQCIQvCLY39FHH2/Ob21treYaMWzYCNm/f5+UlpaZvzWv6vn5vffeNtekaJx88hnmGqrX5bPPvjBkwxfL7NlzTHoCK3Odyx56jrcCOE6mTJkiubm5kpmZ3z0sYppJh5ar9RwXrJL33HMvktbWVmlqavQ2yInEnDnzzHW9rGyIqbDXc9b48ZOCNhLSMv3hh88KuU3iiOE5Xf9XrfpQxo6dEPQ9wRrK+Adut2/f6vO3liecypjaOCoYK4ioFi48w5RbnYIVDQ11ptwUTLCAkRUADBaEdDr+9BocbDvr13sanXnS6NvjJFTZQF/T/aN5Ust+2sjHv5dXqPx6zjkXmUZbJSWl5u9Zs46V5cvf9b6uQcRIAjPhaLpCBZG13BHqdX8XXnilPPro/SF7L2/ZssmUvSM5RrTcf/zx8xzX0/OSh71BZOS9Z7dt89yP2O9LLKHSZ/EPIpaXD/U2EhvojR4SFUi84orrZOvWzebaOXq03luEpkH+ZLv88utMQwS99xk6dLj3NwNi57k+hMovs2YdJyNGjB5wO9m6N9f7/FinsdHrWajrHYD4EEgEgjC3bi6XqcjRCpDly/Xmp9RU9Fi4QMFJ4oc36vsAohOtIPToCXRG0nLM/nU0oKU3v1ara4u9B52qqBjqDZT1bCf052nerawc7nPDrkFCpZUsaurUQ7yvaZBEFRUVmUpba+hSrYzVYIl/8E8rRbXCUv+tWPGut6W2fpdQPTOTdbNvBWi1olZvnnX/aG+RkSPHBMwPqOc0Kx1a0aSVEbHQ36WqqidoamcF9Dy/UbFp4a2BRP/fTW8SNI25uWkmkKiBQf1dNJCoAVCtGDaxQj9aoeVfqaW/uT+tlNdjtaZGzA18a2uz9IVo8rF+Dw28JkpRUYn3d9JAbqRBYz32dd9pBaknkDg+IJAIIHp6ftR8ZQUfrHOwdR2yN4gYOXK0T0V3JOznfa2Yj4SeizMyCgLOV8FOXeFau+t3mzhxolRXN/os1wYfoeg5SjU3R3eunjx5mmP5PFg5wf59gxnolfO9IZpASvhthd7f+ltavQrtnIZo13yzc+d2x95HTsd0qI8OlS59SbcXzTXeXjlqvS3wM3rmSPRPfzDWsa7v0bKP/2eEomVZEU/eU/6ND7TcmKjeW+HuFaLphaLlek2XNjwIxgqo6nEST6/KeIZStgePE3Ve0fKyUy/JVA4kai/8SZOmRrSu3kP0xj22dZ3XtGmZuuf+GYh36GsJed7T6+BAY30vrcOIdZhmz/UMQLIMvAHUgT4s1PbXgA4Gt/503PkWWmNLl30TVhDRbM3WIzGS/RDbfgn/Hmu74SoM7J/v/51CBxITV+lmZw8SBpu/0drHGnS00hzvXCrRVogE+916zrP29CRm29bvYfUu7QvRHK/h8kI8nx3N721VdsY+bxWAcHky8rlwUqsMYm9c1HcGeO18Lwh2XYhnjsREcLqOWkPrWvNzR/rZodMVfj5I//c7rW8f6r9nWezXb1/x5yUtN/aPPBm9RM0ZaM0j6/sbxTJHYkKS43MPNdDPValQ10LDFCT+eBp8+aWnXiiWMkQSEgQgAIFEIIAr6M3oYC7cAtEKDOxF9j57IM0edAtXQZGIQGIk77HWCXfD57sp30oFq7LBiVMFViJY+9JT2ZMetDJFv5/VEzSWOascPjmqtYP9BE6VCNHeEAQLwFnBQ/2uOsRrX4jmeE1UpZfT9qJJh/9cRQQSgb5pWJCKFZCJblARi1Tc770VSHTet4nb307X0Z5AolOaQwUSfdf3DyTpdw31ff0/z2noYP9AotXjxLd3cO/dh/r/Pp5ybf+8Dw63X2IpUzkdI07LIj9HuBN+nNvvoQb6uaovAokDfZ8hlVk91mXQIV8C/V/f36EB/Y3DBdm6SBNIRF/or8ddYLpia31uVdBE2yMxwk+I+h2R9ki0f1//SqW+6JFoBcy0sifcPDr/n737gJesqhL9v6rq3ro5dM6J7iZ1E5sgTY4iiCBKDhJGnBllxnH+856O+kb9zDzHcR4j4BjGUQFBRSWIiA6CEiRnEKFpQufcN+dK/8/aVafuqapT8VY4VfX78mnuvRVPnTphn732WjtsOoQmS5uWt8GfLSPRU9KMxHTzHJVefhlIRX3nhI7IfDISE4PMBBKB4u+T2R9b6Y6VSmUkeiveRqJDq/B1lO1rcXpeMTdzp+3Hus2pHZbpu04eAGY/FyYH+/IPJCa+/2SbOLW0aaHB9WLsI9q+rJ7rkeT7rfWW+/I7bSNTqWhRikO4/Rqq2tVDRiJQLJPtwtrbX6aSkQigPJgjEcihxU9GIirJXQ2pSBEyEu1Bt3C8gyZbp2EhGYnJF+7FzUh0DiRGs/3SX9hrRpz+K6SD0hr1ni6gMz4+bjo6cgkkWh0i6bIXc5V/1mDugcR8XztdVmtiIHHc8T7739E5O3UdaidN4nxGTq+t37c1T5KVxae36z/rtnw6e4pf2tSbsI5yDQgmL0etdFgBxaT7k/2Ya5WZzqx6MhIr1QTJte1T6dKv9Syf4Fu2/Sbb6+XzmGxVLpwCQplLm6a2E+xtxWwZibmcO/Ux0cFg1mP19RKXqZKlRd0cSMxksj2XXxvGaft1yv4rJCMx+TmFHr+i7czUkrjVqD4CidX9HcE9ovuJPSOxlvabqewn7GNAORBILIPt27fLjTfeKE8//bT09vbK8uXL5dJLL5WPfvSjCY/TjuXbb79d7rzzTtm6davMnj1bPvzhD8t1113nOIk8So85EjGV7abY22E55TKXnH259Bg1f/5Cx8fNnj1Xdu3aYX6/7bb/SrhPL4DvvPPWlNcrlmnTppufLS2tMjo6ktN7rFixUrZt2yazZs2R9957WxYsWCgjI8Mpj7N3gC1evEw2bHjH/P7qqy9mfP233nrD/Cu2pqZmufvuH2cNDup9r776krz77nrzt9/vL8o6XrJkH9m48V2ZO3dB2o5n3a7mzVvgeJ/13fj9TfHburun5bUsM2bMdrx9/vwF5jvU7SC5s+X22/87p9e+8srrzM/7779Lenr2SinMn79Itm3bLNOmTSvy6y6QHTu2mt+nTZuRtsNpzpx5snPn9vjfM2fOMj+tx3d3R7/rdHT/Pu20s9IeC4BaYj+frVp1sIyMjJhzRi4WLFiU8/vkEyhbtGhJ0bOuZ850Pq66JSNx+fJ9Zf36N0uyDLt375QnnnjE/H744UfJ6tWHluR9qtW9996Z9j6rTZSOU1BHz6/Z6HlpbGw0a5lybXu+++7k/tjVNXleddqfMrWbkoNK+tmeeuox8/sxx5yQ0rbs6OiUwcGB+N8//Wm0nWvR+37+8x/JBRdcEb/tzjtvS3nfaJBycj/Q87davHipbNq0QXI1Z85c2bFjW86Pt97bTtvQpZpjWq8hAoFAwc8fGhrM6Vhi32as47fVtrNLvlZJDiQ++eSjsmLFfhnfU68h9HvWbdXy2msvp6zbgYH+hP1IXztX+jrj42PxY1U1a2z0O5bULxXdR+fOnS/l1NbWUdb3Q22LHkai555ZsyrTTiuFpUuXyxtv/KnSiwEgAwKJJbZr1y654IILpKenR8444wyZN2+e/PGPf5TPf/7z8uabb8oXvvCF+GO/8pWvmCDikUceKaeeeqq8+OKLctNNN8m6devMT5SZXivFrymtC8TJC8UDDzyYrwRlUt5Aol5U/8///CohoBBfEluHxmSgXeTii69OeL526mkni3WBnu6i3H4xnX0+nfw/i14k6jK8/fa6nC7O9bHTp7fJ4YcfLj09w7L//qvM7WvWvC9+vzUS3b68J5xwakqnmT7nhReeTnmPtrZ2GR4ekksvvSbvz/PjH/8gHrg87riTze+6HBqg0+V67bWX5JVXXsiakahBtQMOOEjWrDl6yqVNNWjk1BHj5LLLrk17n2b9ffrTf2fWu8r1NS2ZHq/fhf7T7U2P3fqZMwUQL7jgcvn5z293vK8YQcSzzz7fBEl1m7E6qY8//hRZtmyF+X3Pnt3m52WXXWM6VbTz7o47vi9nn/1hmTEjGtyz9qujjz5Onnnmj/Ht8LHHHnZcL8kd4NoJpvuFfZ0HAhPyk5/cIh/60AWOQVwNAl944ZXys5+ldnha+vp6CCSi7mzZsikhcJBOun2r0EDiSSedYYIKlmJmpeR7DC42/dy6DDrw5umnH5fjjjtF/vjH38fPw1amkT5OgzlTdeihR8jBBx9ujqv6UwcF9ff3xe/XNhGBxES5bPOWhQsXm/3Ekm1TtQYnqfe//5z47ccff6r57jdv3iCPPvqQLFy4JOW5Bx10mOy774Hy9NPRc6M644wPxn+3BpepI488xgR4Ms0Xnbxf2QeXaUA0OXv/lFPOlJaWlpQAot3oqBVgSl8a1j4Hlgbb9Byc3K6ePn1G1naJrosVK/aXfDgdS5IrOkyV1dY64ohjZOXK/JYvH8Wad9pp/nNdT11d3QnHCnXmmR8yxybr+JUui9EpCKoD6nJZ1/bX6e3tMT91MFc1am/vkMsv/4uizxGezoc/fLGUU6XPp6g12i4M1+S2deSRa82/QlR5YjZQNQgkltg3vvEN2b17t/zHf/yHnHVWtGH393//93LllVea7MNLLrnEZChq0FCDiGeffbbccMMN8cbhZz/7Wbn33nvl0UcflRNPPLHUiwsbTygi4vMklJKxl5Sp7dIbcBO3bmqZyzjl1pLLr9Mz96BjOsXYb3O9yE1XDtN6fqZymbl8juTn6+taHWE+X/pl1MfoyG/tlCrXBbtbOK23dNmdpaTLkNxpaf8uJrfT7KWeEudPmur2nUvp3ym+BVCDrMBWNoXso5kCiYWU/K4+qfPllPrclftcychVpkBdpgyl2DeS8N3YB3PlWu7T/v6J59toMDpz2cvMJVx1Gezbp76XU4nyaGn5xPdJf9hInCMx3eNyLU/vzvaep6Bto9DSplMVCjlvI07H3eSqRvkcSwq5hrK2X3d+z7mp5mUHymlyoEkttvmmgkgiUA6crUts586dst9++8WDiFYH4plnnmkO/q+88oq57Y477jA/P/nJT8YfpyeGz3zmM+bnXXdlL/WCItNA4uS3kfSzVjtrUBylKW3qhk0u1zkscr8ILuzCupKBxFylC1gVJ2Mk3WtY30/607vep5lnpey4qXal7syYnK8ndS7e6O/5z+mZ/HrZpe/4SjX1fQ+oZZULJErNsz56qeeHcxqUYS/lyEj3qa7f/OZDTAz2Ob6i4+tGb0t9gn2AVfJ3na18cPJdyQGc5DaDlSmb6TPZn5/+fe0dxc7LV81tuXLMi+c0F2fhr5Vubs3sg73SZSQ6bXdO7+O8POGUICdtNKA+2DPWAaCcyEgsse9///uOt7/33nvm54wZ0bkOnn/+eZk1a5bJTrSbM2eOLF26VJ599tlSLyosVgduaPLk7HShQ0Md6RS7UVeJbS3be2a7P9eRt4UG1aph/ytlIDFbdkqmThPtTBsfH6/qzqdq5xRIzJTxnuv2ns+25fSSub2P+/c9oNxy7fgtPJCYeE6dDHzU/v5oHdfKGcizglPBoH3eNka6T22dJm+rmddnrtdcue5TTqX5rd+zz0OaeJ89wBzNSEwMHGqWYK7n2GzbdbbPl2tGYr6KWSY5ncnr7NIN3kqeZ3IqnK5tsnXmOwUSE7en1PWc61yU9te0zkHVcH0EYKr0nBX9iUkM+ALKg0BiGWljT+dMvOeee+SnP/2prFq1So477jiZmJiQHTt2mDm5nCxYsMAEHvv7+6Wrqyvt62/evDnrMvj9fhOcRAZWZ64tI5FAIupPtoZpsTISc++oSJe9lY9yXmDr3HblDyRmf652eEUzEmkCVIpToDdxm849kGi/b6pl+NK9j31zo5MKyL3kXeo+lv+5KxrkSHdf7X8bk+e78gXyrIEdwWCwbO9Zb/JpCuVSOjLb4xPPu/lmJEbSDhxwmiMx+l5OO6dTIDGc5T0z7+SZStm7XTkqrhSztKm9jZWYLZqpjeaUher8e74SA4lkJAL1VtoUACqBXsQy+sd//Ee5++67ze+aZfjd737XZITs3RudIL2zs9PxeR0dHebn4OBgxkDiaaedlnUZjjjiiHgZ1c7OFqlW1gX+9OltRX/t3pZGCQ0HJRyOzjem7zE2Fh3t2dXVEn/Ptramkrx/va73WmJd1BdjPdnnXdF9tlzr3u93HuEciQTjnSjWsujyJS9XS0uj+Zltee2N4GyPbW6OvqZqaIjum7nS/TXX5xVrO+/qai3Z6zc2On+O1tamrK/t9zeaztFybk/VdnxxXoaxomVxdne3Sltbm7S2Tm7T9vNLJDJmfs6Y0Z7QIer0nbW3R79z1drqz/GzTO5Put6tx1gdUd3die9j/250fs1MXnvtJXnjjdfMYKl58+ZnfOzY2KjJptD2z7x58yRf27ZtM9m1hdLn6mduaWlJWKbOzi5pbW2VwcEB6e6eZsrUz2tqkqGJQRkaGpLu7m4ZHR2R0dFRWdjaJp4Wr/T19ZnvdGhoUFp8QZk2rdUMANPHeMOj4guPmvfZtm2rNDU1mbafHv70GPj000+ZMvg6N6fe19jYID1btsrghnXmvZYsWSI9fTtk+aLFMtEUza7Q12lv75D29nZZv3OjvPDo/8jRRx8t/vFxmdbZJUMjw9I/tNdkRr/zxhty1HHHmeV6881XZOXKlbJ16xazPffv2CH7dh1qlm3H4G6ZO3eaNHc0ytZdu+XFR56T7uZm8W3T7TDaDtXlXLdunVknH/rQueZc8Kc/vW6WWx+j6+7N116VvuFhWbFipUybNk1mzpwhw8PD8swzz8jg4JAcvv9+MrRxnbltenOLzJs1S97bulU27Nhuvo+zzjrbLFtbQ0gi3oBZh3v27JGD5s2TYGeTPPDAr83f+v1pG3mfffaJTxWwevVqWblyX5mYiGZdj46OSW9vr2zcGG1v9+7aJQuX7SOLFy+S8PiA9A8Oyh9felHCoudakUg4LK1tbXLuuefJa6+9aiqH6KCL2bNnmc+p63vJksXS09ObsC3p++VC96H29vyOcSMjLTIxMZawT1rnzo4Odx3HS3FMt46T1nm8VJ9Xj5+TbfzoPLkjI8Px+/fu3e3adV2J86jul/mwt+Gs84weZ63t+bXXXkv7eKdzX19f9Dtqbp783iwtLam32f9uaJgM7nR0NJu2oZ5LndabHts9nsTz3tatm2zL2SCBgF4zTr6mnrudglc6iMuuv3+XbN26UZxs2RKtXmQtk76e0/L5/Q0l+c6d2hPFfp/x8YaCj2O5buu9vdrPkvj9+f2T1x7r1kXPHbnYuPGd+O9tbQ3mPOzxBM32k8xart27U+fc1nbG5O+DUqj+/snzUCAwHm9flmr/d1M7vZ6w3lnnTsf9piafOe/Uyv5YjO3cumSulXVSDhxfUAgCiWWknS9/8Rd/IW+++ab88Y9/lEsvvVR++MMfxi80NFvQiXX7VDrLkDuPwxwsjY2NJjPUuuBdsGChLF++gtWKdFtRUdeMmzKAenp6cnrcsmVL5Z133s76OC3n/Pbb2R+nFi1aJDt37pD58xfEB1jkauHChebnUUcdLaWyePFi2bRpsnMp3UjBtWuPld27dxf0HkcccaQ8//xzsmrV6rTLoEGCbOtRl23GjJlSz5YtWxYvM26da7Wc1Ny5cxMep8f+rVu3ym233ZZ1G9uyZUvCbfqaWnUgmQZd1KJFi02VgImJgMycOSt+v27fHR2Jg4s02JY8mGjWrNnmfHTiiSfKo48+Gt/O1bRp06WzM/1+csABB5qgWPKxRt9bA1R2xx57nOzduyf+mEy0raL/tCS7njMz7asajLJe8/rr/yavrAHdhn/2sztNWfhCsg00IJrpeKbfi7V8qq2lRYZtHef2DJbm5mYZG4sGfy2nnHKK/P73v895eTTIls4TT/zR/Nxv6VZZt2FD2sc9/PDDae/b8LM7478/+2ziez3/+uuTfzz2mKxYvFjejh3LJo9oUevXr4//fvvtP5JMXn75Jcfbn3711fjvZg98I/H+u+76hePzDrjkUvn1r+9P2G91W9OgouWFF14w/zLZumuXPPPM02nvn+jrk1tvvUVKoZDzuQaW7UEbDaCrmTNnxqdIqGXWqXT+/PnmM5dO9LvRY7EGpx977NGEe3Vb0+OGXhNA5Lvf/U5eq0HbLW+8kbSzx2zevEl+//vE45eez1555eW07Smrwo59n9JKP3qNnWk/O/TQQ80glz/+8XEzOCL6Gt60bbYf/ei2lPsGBgYSspGTz0E6iEGXwencYPfLX96b9r633loX/3x6Dm5rcx6cdsghh6YtpT8V2p6s1jkSta2kA3ksyfuy/RyT6dybbMeO7fHf77nn7ngbYfbs2Wmfo21IHVCjA1qcPPnkE1nf97jjjjfbq51+5/aM6cntzD3XjABKJVs5bgAoHQKJZXTVVVfFf7/zzjvl//yf/yNf+cpX5F//9V/NbelG+VudkFYQK52HHnoo6zLYg5UDA6MSDE6tDFqlWKNMenomRwoXSyAQkkgobC4Mw6Fw/D1OPfVsGRkJmdHJp556Vsnev17Xey2xsnqKsZ7sI6oGBsakoaE86z4QmDw2XHnldSbD6LnnnhJ75UTr82lDNvWzNstpp30w4zrYd98DEzKBsq2v1tZpcsIJZ+T8+EQN5nPk8rxCt/OTTjpTbrvtv+J/Dw2Ny4UXXik/+9lkAOoDHzhXZs2aI3PnLilo+zjwwMPMv3TL5/W2yDHHnJzxtQ844DDzL91r1Mvx5fjjT5fjj3e+z1qG1tY2c+y3f6/JrM6cU06xzgt75f777zK/f+Qjl8lPfvJD8/tHP3qZeT01MKADg/Rfo7z//eea28bGIjI2NvnZP/zhi6W3dyT+93nnXRw/B1k+8IHzRKfSWbJkP7nyyv3M77pfvfXWn+Wccz6a8FmSNTd3mawrnd/J/pgPf/gSGRrS9shkm2TevKXmnz4u17l71LJlK2XNmvTBe2u96jFk585ek5GX73H2lFM+kNfzLD09e+T++6NVIvz+ppSMMg3u2o0nBYQbG/3x5zh1FPf0THY0F0tvf+GZC/noGyjP++RL94e9e3MbzOIG5513oXR2dpvfR0ZG5Be/uF36+0cl33GB4+MeE6iw9tO9e6Pb1sknn2kyodx0HC/FMX14OLrC9LOeddb5Jfu8o6MT5rXPOuvDCW0du56eIbPvu5Wb2ukLFiySU0/9QMJtum4feOAe83tv77A576k9e1KPlzNmzJdLLrnanEP7+0ekqcn5M01MBOOfd599DjSBROu7vOyya+SOO34gy5fvG3/MwQcfZX5+8IMfNa89ODhmzoN6Xey03rKd84aGRqWxMVp+2Gpn9vVFA//aBnRqP1xxxcfl17++27QXstHXWr78QPO7ffnWrHmfvPDC09LRMVPe976TSvCdpwbMNeBXzPcJhYLx9nK+r5tuW7e+A6f13tXVLf39fWmDeto+HxoaiA/cmDZtRiyjMZG2Gfr6JgOVodh0KEuXLpcNG94xmfmTy+Uxx6077vi+qXCg+voS33/hwiVyyinvd1zmc875iFmO5EBiW1u7+SyTogFEPcc0Ng7X/PGlnrDeWefJAoGgjI0FzHmnVvbHYmznVnC1VtZJOZTz+DJrVn6JAHAvAokVctFFF8ktt9wijz/+uCmTpB0E1qjIZNbt2TJwNMsERZAwqJRRfag8N2UkFnOOonqo71+sUpionv3T/qc9S6F8+3Fp96lifw59PS0dqYOmCgkIulWtH9sqo7rWaeLcWJGC9x8tO5Q4R3Bpsnjcyk37kosWxfWyzV2YuC6dV6x1Ds13G5jcR7xZ22fRue4K3860vLPH4y/ovJfrY52km1uxus7/0e+nXIcyLaWeiX4n9u0gXbWo5Dk1k5c/eT1Z27EGpZ0GImRarxrkdutcsgAqhYxEJ7TRgPKo3tm5q4COUNdA4fPPP+94v5bo0RH1WnpDf08uiWbR27V0lwYcUQa20qZ10keDoqvF0qaeonfoJV+I1wL7dxXtKPK58LtErnL5vjI9pha/73w+U66P1c668fH05d+yvEuBz7O9Qu19TXCBxKCJFUj0FvFcWS8bbrnaCdnXZ621WSoZSLR/r+lWa6GBROu7zBR0n7wtMqX2qFYksOYYykeu5UjTnZ8qsS2WYiBR7Dcph2xl0HWuQ3vgLt13FF1u+/r35PQ5NZDotAyZVmslAsYA3K0eBmMXhnUClAOBxBLSMkYf//jH5Utf+lLKfdqQ1HnB2traTN38NWvWyI4dO2Tz5s0Jj9Pa+xs2bDDzOaBycyQClVX+bbIcHeu1GEhMzhopZO421GogsTz7cTXuUzpnpNNckuXjqYrvofq+2eLSVVpNwXmn7KtCFt96HWubqsZ9fCrK9Xlz+W7qbd2XNpBoF8lp20/zTg7Py/Z+k/dFA0eFH1fSBYeKV7HCUweBxPLI9j0lZySm+46SO/FTK1M4b/taytX5NdOvB445AJyOGdFs+uppEwOoHfRwltD06dNl7dq1sn79ern33sTJ1G+66SYTODz33HPNaLfzzjvP3H7DDTckdBTo3+rCCy8s5aLCjkAipqjYbbrJEdVSccXMiqjFQGJ2LvgSUeRAojfHDNXaWPGluGjV+YbG8504DnC5xE5r61yX//6TLphSL+fP8n3OXDISyQ7KeW06nBudsnTtc96WbhvIHKiZSnu00EBirufSdI/Lts5KoVSd1uVqH2UL3ur99u0g/fcanRMzH/pa0W3FV5LSptY5pk5OCwBi2fQAUG7MkVhiX/ziF+Xiiy+Wz372s/K73/1OFi9eLC+99JL5t2rVKvn7v/978zgNOJ511lnywAMPyLZt2+Soo46SF154wfw7++yz5YQTTij1osJi7/il0x8u4KY24vDwUBFfzSNDQ85zw9YqN32XyMXUMhLzfa1icFMnUq6rJpqRmF8gcbJUpEwZ+yXKV9q0kECiNb9WUJ577lnZsWNbwmuiOMhILK6Bgb6csnR1EMnbb68rOIDr/L2ln7vY6fnaFtX9asGCRfHbA4EJuffen0k2ul8Wsl83NDROcY7E6s9ItL1yiV436V2ylJbWQGIwGMgaSIwGnsMZ1otTRqI3lpGYX9A53bY/OjqS9Peo9Yy8Xh9A9YlmRVd6KdyHdQKUB4HEElu2bJncddddcuONN5r5Eh999FEzH+Jf/dVfyXXXXSetra3xx37ta1+T5cuXyz333CO33HKLedynP/1pufbaa0u9mLDz0dOPqTn55PcXNUBWmdFm0fc88cTTYsuQeG9ra1ter3bkkWvlueeeTHwHj0c2bnzX/P7+958jteC88y6Ul156znSMzZ4919z2vvcdJ88884Tp9Jk2bUalFxE5OuOMD2bdzt///g9Jc3OzjI1ZHTgi3d3TEx5zzDEnmO9eg2XlcPjhR8rChYtL+h6LFi2R/fdfbTrd/vCHBzPMb5jrHIn5BxLrsbQpV8jVxd5p3d7eYY4FuZcztL9O9OemTRtk3bo/x29vaWmReqDHmo6OrrK/7wknnCaPPfZQwm0Eb9PTCjs6X6Clt7cn5TGJbcnoMfLdd9+SnTu3J+wrhxyyJv73sceeJPPmLXR8z5NOOkNmz56TcNvxx58iCxcuSXpf52O8ts8WL14mzz77pLz++iuyZs3R8fveeONPKcEatWLFfgmBz3wyEo8++jgZGYkOyDv00CPkvffeTrj/8MOPkhdffDanZV+16uCStylPPfVMefjh39qXpujvsXbtiTJv3oKivJZ+95lkC+ItWbKPrF//ZvzvBQsWy7vvJn5H1ncyc+bs+HZrPy6cfvrZZhtOpvNoBoORnDISDz74cHn11RfN79a1xFFHHSt//vOr8etLp0xFbbPOmDEr42cEUAvqsapTdmeddV6FryeB+kAgsQwWLlwoX//617M+zu/3y6c+9SnzDxVka8uTpYBCdHR0mn/FU7ngtl5UO1m2bEVer2NdCKe7cK6VAFtnZ7eceOLpCbftu++B8tprL5tsTuZMrB5z587P+pg5c6LbdVdXd8J2rZ1PW7duMn+vXLm/lFNzc4ssXry05IMlLEcc8T554olHKljalME/9aWy3/eBBx5sOnNzoR3H9uNCoccCKyCZ3GlULyWt9Ppo2bLlZX/fpUv3kcceS7yNjjtnH/3oZSaIcdtt/5V3RlgoNJlxNWfOvJSBZcuX75v29ZzOdfm0T7V9lo/99jvQBAOTA4nZMt3sz7fYrxMOO+woeemlZ03bITmQmOm8qdtoKenylPqYo4HZYsn23TsF8eymTZueEhy3aDuvv78vvh7sAznsx4V0QVFr3WW6DtB2p2bGapDZCiRaj99//1Xm349//AMTsNdMxRkzZsrevXviz9dzDNcZQH1gjsRU3d3TKvBNwA127txpKjz+3d/9nVx++eVZH69tt8MOOyxt/8ODDz4oS5YkDkrDJAKJQLKEa6T66KSBu01et1dye5zaezt1PtTi/HHp0PlYX+wBBGSn2ZqDgwMVW1WlOf4wUrgW12k+nbS5Bheyv46nYnOiIRHncmeFBJgm12Uuc9JNladkr1PoHIlOmXJuHxzg8sXLKtv3lHzMznQMt2cE5jJ3qvVaTlnp6b73TNuD07HI7dsPgOLQfT3aJmSfB4aHh+X666+XoaHcp2DasGGDCSIee+yxJqCYrKur/JVQqgmBRCBF9IRMZwHcohIXhsV+y2yBRBrCcHvnUz6d+MUKINTLsauw0qaVDyplQsWh2pRfILE4J1LrdWiXllr27yuXgEE9yvWc5/Q4+7GyVIHEYrVpnQYJ6bx3Ux08ZK0Xtw9CqvbzWvZAoift4+2Bw+Q5Ep3KjKZ7b+dAouSdda6PTf4+CCQC9SRS9YM7gKnaunWrCSK+/vrreT1v3bpoZYmLL75YzjjjDL6IPNHTBWRS5RdMqA21cGGY7TPUwmfMhA7g6pbv9un2zkC3mVpp0/qZI5EmSXUdC4odSCQjsbRy+bpyCRjUo1zPefZ17JSR6P62YGkyEq3nMwiptLKVNk3e/hL/TtxO7ceCyWNz+uPDZGlTp2Vw3u4zbVdkJAL1Sw8n9C2g3t1yyy1yzjnnyJtvvinve9/7Cgokrly5skRLV9sIJAKZdhDXX9AC1aHeS5sSAqhu+Xbu0RmYf2nTfDMSrT7oSh07av+Y5U6VXu9kJNZ7RiKBRMc1l+OOmXhujKSs09IFEosb1LfLZ47E7IFETixuyki0/528ndozEnMrbZp+jsT0pU1pewJwPDowRyLq3m233SYLFiyQ22+/Xc4999y8A4nNzc3Mg1ggSpsCyZgjES5TiY6Flpa2lI7+Yn+GsbFR+yOklrW1dcjoqP3zopp0dHRKb+/ehNuam1vSPr61NXH/qWXF6Fj3+/0VzkgsBQIORV+jkcqX1tPs2VxLHxf73P38808V9fWQehxyOpaPjAzH/3788d9LQ4N7L58bGqKBh2CwtCVYly1bnjbg0dDQKMFgIIeMxOjPl19+vuTnznx2xa1bN8uGDe+Y836ylpbU875uH/39fVMKYhFILI/W1ta8Mmvtx3CrJGljY6O5ZrFnJA4M9E+ptGm67b+zsyttm6u9vcPhFWh3APUieiyo7f4T1JbNmzfn/NhFixZlfcyXv/xlWbt2rTmv6pyH+Xjrrbdk7ty5cvPNN8sDDzwg27Ztk4ULF8oll1wiV1xxBQO7svBEGFpZt7TTo9IdMoWyGvqlKDE0+PtNMv5Gj2mKd3xsX2luz3zRUU9Kud6Rfp2PjY2ZEc86aqacmU56erBfRAcCExIMBuMdRXoxPTo6Yh6TKahivZY9cKidMRo40ONQLs+vhe08eX2iPOu9WHQepImJiXhgPVuJrGr4vouxzu3rJZkeI/RYkY4eP5Tu/+PjY3kfB/T5LS2FnaM1g0CPrZPZBZGMwaHkxzg9xy5TZ3q55up0+/vkq6WpWcYDExVbtqYmPQfrOXk0/v03NvpNYMnalpX+refKQrdNJ/bXtxTz9evxmJ7L8To6D1nEHJ+KMaiq1Moxn6a2R/Xl9diffD4Mh7XMpy++vaZuo5H4oCo93uvy2rftUmzT+vpWmzXTY6z31+x4/Yz6+EBg8hhub6tG16+2a8fix0xt1zpt61bbORqE9Dieh6x5gpNfX9+z0hUO7J/VTe31xONLxPy0B2ut5Y4+Jmzu03Vpfdf6WXy+Bmlo8JnvW79r/f7t24L92iX62Abzvnr9Ev1uPPHrIusxTgMSlB5DdDms7UrXo37nepu+rp5LrOW2zi/pBmHqffbrKOuco9tRpkBlPR3TawnrnXXudF6x2ifaNq0FbOe1v94PPPCAvEuP5uruu++Wz33uc/LFL35RLr/88oyPHRoakiOOOMLsP5rReOqpp5rz6SOPPCI7d+6Uj3zkI/J//+//zev96417h1QCACoq+QI22lEUvWCeenwkdZRvrXN7UAmZaQeRSDRgli2IWI/fd7bAWubnUjIQ7qcd0dY2rr9r57PPxywRtSB9acFosEDbKdG58NzdXilHh5DuA6HQZDDfvk7cvn6mwh6kim4vuZZztR6XucR/9O/o49zUfsjns1aOJ002YfS2dMdpDSJqcDH61WYf+JMYqJzatZA+V48ryQNjrO8++zZgnx6C0rgAAORi9+7dZm5EzXq84YYbTLKGGhgYkKuvvlruuusuef/73y8nnngiKzQNAol1rL9/tOSlb0pl+vRo6Y+enslyQ8USHA1IOBQ2GRYP3nWPfOCc84r+HtWqlOsd6df5r371K1MK4JxzPirTpk2v2KrSUk+PPfaw+X316kPl8MOPkttu+y8zGv2iiz6W8bmDgwNyzz0/jf995ZXXyQMP3CN79uyWFSv2k7Vr3XOiZjtnvTvRTuQ77vh+fPutBcXY1t9+e508+eSjZhR+cmbiIYesMf/S0eOHdpZddtm1cvvt/y0XXHCFY+k4Jzr6/sc//oFccsnVGTNN0unp2Sv333+XY/lCpcfa3t6e+N8NPp8EQ6H433rcy1SO9cADD5I///k1KaaZ3dNkT19vUV+zku+Tr0vO+JD85tnHpa9Cy3bppdeYbBU9ly1atFQ2b94gZ599vsyYMdNsy5Z99z1Q3nrrz0U9Tthf3+L241AtnUsfekjLHm1hnYvIm2++Ljt2bJNNm95Lux1a22vyfZqB9dOf3mp+/9CHPiqdnd3m2F/KbVqX5YADVsuRR67N+Bh12WXXyKOPPiRbtmySQw89IqHsqu7zJ598huPz5syZI5dccqnjtq6v8eqrLzp+Ns1Su/PO2+TEE08z73vRRVe6Nrsk1/a+248v1nemGYGnn362Odfr9vzgg/eb78i+7Y6MjMgvfnG7+XvJkn3M96R+9au7TBBQj/3r1v05/tpLl+4jJ5wQfUwybW9ou2PNmqPlhReeMetx3brXzfaxcuX+cswxJ+S0/D/60fdMMF+X7/7775aenj3meuzFF5+V97//QzJnzlwplVo6plcT1jvrPNkTTzwiw8PDJkNZz6W1gO289tf7Qw89JG6wbNky07+arLOzU/7hH/5BPvaxj8n9999PIDEDAokA4HJuGplcqEyZSrXw+VD72E6z7dvZsy0yjfKPBiLHcw4kur0yv8sXDwWwb87WPHlOZVa1XCFqi9uPN+UUPa4Xuj48SXOelmu95nYu0kxLK7vLqdx1Opnuy60UrfU3Gc7lYpU7ja5/5+0wXRMmWoEhOjWDXabN2fpu7fNh5p59aH+P1Dexnp+clQmgNqU7BgFulsu8h5W2atUq83PLli2VXhRXo7UKZMC5Ge5gXWhKjbEufDkVwf24WMu2fqa2fq05oirxvZTmuy1+BzmxjEoHczwOgcTJLFVLKYIjnCdRCxIPtdH5ncr/vulZ83bnH0gstKSrUzlO96qlc1AunfCZSh5r+eB8vi9r+3HeVqb2vU8GJLmeAuqDu88VgJvpPIjPPvus7N27N+U+a+5rt8+JXmm0NoAMOEXDDdzSsTCVDgQyEoHaNtUOLA0kZioVWm1qqcMVqedi63cteZysFMERt7QD6hX7c/KctlKkjMRyZe/mtv/owIDJQGI450BioXOlps6RyH5eLpmCxrZvJM3tEcdBJJkkZx8mnk/yeimnVzf/JyMRqA/W3PKcMoD83XfffXLFFVfIL37xi5T7XnjhBfNz9erVrNoMCCQm0QPy0NBQ/O/f/OY38sMf/lA2bNiQaT2iltgb8xEu6FB5bmkktre3x3/v7OzKO0iQjs4ZArgdHXyZLVmybErrV0f+FZKRWAzVkpFY79ywRrUEr5o1a058fk01c+bs+GPmzp1f9Pe1ByznzJknc+cuKPp7IL25c+exeuJyK23qNNefPRinc8b95Ce3lGW96lx2uXjkkd/Jxo3vmt8148zOqYyxZd68eVM691jHFTdnHre3d8jChYulVugx1VrfbW2T1zd29qaB/feBgX7p7+8zczXnyiplmtjeiP5un2cxm4ULl8iMGbMSbuvtjV5HkZEI1I/oAAiXdBIBVeT000838xzfdtttsnv37vjtu3btkv/4j/+QxsZGufDCCyu6jG7HHIk277zzjlx33XVyzjnnyKc//Wn5+te/Lj/4wQ/Mfd/4xjfkv//7v+XII4+s1HcFoE65JYChHaeXX/4XDp0d2ZdP5z278srrEuYksTQ2RjtQAFSvo48+zvy77bb/KujYlX9GohvCSumRwVR7dHvW4Iiey9Ty5fvG7zvrrPPkjTf+JM8996S53X5fMel+8v73n1OS10Z6Bx98uPmHyQ5MDSwdf/wpaVfJUUetTblNO250/7GfJ0rN2l9zsWfPrvjvyRmJy5atSHn8KaecKb///W/lgAMOLGjZrFOk/bjiVueff4nUAvv2ZwXeurq6Hdd/ujbMQQcdJi+++KzMn7/ItHv0uibbNq2PsQf6Cr22O+WU96fcpoFN6z0A1MsciWQkAtkMDAzIrbfeKh0dHXLVVVeZ25YuXSp//dd/LTfffLOJ/Zx55plmYNDDDz8sPT098uUvf1kWL66dgVOlQGvDRgOHbW1tZkPS2rg//vGPzYb1yiuvyMknn2yi06gvbgngoL65aTvUi9SpXKg6PdeaawpA/dKMjMLmSBSXcnegs3p56vpcXL5SkIAzp4yqWpRctthp/9fAaLr7clO7668aZC8F6nx/Q0Nj/Pm5XhPpNqKPnyxtWvz2ixvOUQDKg4xEILdA4je/+U2TfWj3qU99ysR3NGB4zz33yK9//WtZsWKFSR67+OKLWbVZ0Htr8/zzz8u//du/yf777y+///3vTTBRU1q1c0t/fvKTn8y2PgGghGrzArHQuWUA1A7NyMgnkFj5jL9KHI8r/qErrt77STOVVwTKJTq/YW1nQySXrXQK0lhBpEIDOAR+KitbKdB0308hAWR9r3yrueSLjESgvkqMcw4Bos4//3zzL9nChQtl3bp1jqvprLPOMv+QP3pvbfSCSDMS1eOPP27mAzv88GgZGw0qWvMXAEA5ub+RGJnS87ze6AU5gFqTT2lTf56lTfN/j3IeYysf6KxBrNPYCHSg0iI5ZEO4ve2aX0ZipsBNoQEc97fv6z0j0ZnPZ43Fz/350WzE5NKmxf7+2Z6AeqCHDzISAVQKGYk2Bx54oPzsZz+TpqYmeeCBB+Skk04yFwZaJ/d73/uerF69umJfFMrIdlFHcxxuUKsdDeGwFUhkTAtQi4GNfA5dOvdbIaVNS8WN8Ro3LhPsSv8FkZEIN7VJM7VPq73pGgplz0i0AkO12k6v94zEdCYzUfN7r+g8iaXcVmgkAPWCawIAlUIg0eYf/uEf5LrrrjP1cadNm2Ym4FQf/OAHzc/vf//7lfmWUDFcGAI57SlTCkAQSASgg7gmJiZqaEXQoVf8NZotAwpAOa6NrNKmtWzXrh05lDa15rujtGk1ynb9ke57nbw5n9Kmk/MjTv4tRVXr+yQAi56Hw+Lx0J0PoPw48tgcfPDB8tBDD8k777wjK1eulNbWVnP7V7/6VXOfBhdRT2iMwx1qNaB98MGHyaOPPiTLl+9b6UUBcnLQQYeZgBcmzZu3QLq7p095lWhGYn6lTad2jk48rJaitCltiNKozHqdP3+RuMERR7yv0osAxPfDdO3Tzs4umTVrTt7z5FbK/vuvkjfffD3hNvv5qL29Q7q7U/sBWlvbZMaMWRmnP8l2LmhpaZWOjo6ClhtT47T96rY7MNAfDzQ2N7fI2NhowmOsbXv69BlJz07/XetrpQYui9P2WLXqYHnkkd+ZZQVQL6VNK70UAOoVgcQkOi/i/vvvL6+++qrs2rVLjjvuOFmxYgVBxDqkJ2cP04jCBWo1kLhkyT5y5ZXXVXoxgJwddtiRrK0kHR2d8qEPfbQIcyRWrrRpjR5iUUSnnfaBrI8pR6fOgQceXPo3AbKwMhLTHTvPO++ivNfhAQdUbgqRo446NiWQaHf++Zc43q6Bm7PP/rA0NBTepXLBBZcX/FwU5tBDj5CXX37e8frKvu1q4O/CC6+Q2277r4T2jAaQna9fMpX69SQEEouZkbh48TKup4C6ogcPPQdzAQOg/AgkJrn11lvlm9/8pgwODpoD8y9+8Qv5xje+IWNjY/Kd73xH2traKvA1oVI4N8MdaCQCqIfSprkHEq2gTbkuohn5CwDWMdeKmtM+BXJhBRLp+AdQnIxEUhIBVEZhM0zXqJ/+9Kfyta99TS6++GK5/fbb4wfnyy67TN566y258cYbK72IKDt2EVQeF50AqlE+MT7NSAyFQhIMBqUWcIFfKgQuAPdkJLI/ArmIBhHpVwBQrPMw52DALSLhiISGJqRekJFo88Mf/lCuu+46+fSnP206sywnnXSSue2//uu/5B//8R8r8T2hQrg+hhu4fTt0+/IBqJTcDw6NjY2mU1qzEnMrE1e8kbh0hlcJ1w++dv0CAkUQzUhksASQx17jseZItLeLuIACUNh5mHMw4I4A4sCDG2Xo6e0SGQ+Kx++TtqPnSdfpS8TTWLuDhwgk2mzbtk2OOuooxxW1bNky2bt3b7m+F7gEnYtw03bI9gigVunxzZonUecfqnalucAnUAXAPYPHitkupVMU5VKJ6ymv11OC96VNANRzaVP6hoDKGnxksww+ulmaVnSLf367BHaPytDjWyQyGpRpH1lZs19P7YZIC7BgwQJ55plnHO976aWXzP2oL5yc4Q6MWAVQffLtM9NA4vh4bvMkFjdOl/8xlkzs8ovQaQq4gnZgRjsxK70kQP5KV2I0ksMcifbbSrQYAGocGYmAG4y8vFvaj10gs649SLo+sExmXnmg+Tn80i6JhMJSq8hItLniiivkX/7lX8z8PCeeeKJp8GmW4ssvv2zKmmp5U9RXh5UnQgsflceFJoB60NTkNxmJ5cYxFsWwcuX+0tTUzMpEjfPYgibFuU5as+Zos/9UUnt7hwwNDcrs2XPNeaivr1cOOugwmT59RkWXC8W3fPlKU069mE466QyZOXNW1tKmCxYskiOOOMbcFg5HA49Lliwr6D1POOE0GRzsL3CJAVQ/+iqBSgr1jknzAdMTbms9dJb0/+Y9CfaMSeOsVqlFBBJtLrvsMunv7zdBwx/84AdmpOX1119v5uq56qqr5GMf+1jlvimU/3zsoXMR7kBmLIB6uMD1+5tlYmKiJo6PpSjTRxEzd2ts9Mvy5ftWejGAkrKOuXqIK/T4q8G6Xbt2xP9eteoQcYszz/yQvP76K/LCC8/IYYcdWenFQQm0tLTKfvsdWNTXXLx4acb7o9mIXlN54cADDzK3RSLRbIXp02cW9J6dnV3mH4B6LG0aZiAkUGGRYFi8fl/Cbd52f/S+CTIS68Zf//Vfy5VXXmlKmfb19UlHR4cccsghMm3atEovGsrNXCCz2lF5bu0oB4Bi8vv9Mj4+ViMrlbAfgNqdm2kqxzi3t2vD4drt/EFlREubehy3M7fvDwDcWtqUYweA8mOORJvPfe5zsnnzZmlvb5fjjz9ezjnnHDnppJNMEPGdd96Rv/zLv6zAV4SKMRmJnJyBnHYWAEg+MuR5aGhqaso7I7GujmHEJhngBbhEdI7EKjl2VjSQyIEbk3MkOlUuqNX9CEDpME8xgEqp+9Kmzz//fLwRd++995rsw+XLl6esqMcff1yeeuqpCnxFqJRY054vABXHBSaA+iht2iTj4+M10TlbgsqmMGiXAW7IhIge42pzfyQjEcVmlTZ1LoFem/sRgNL1DdXyORioJn33vyve5snyptapve++dxJuVzOvXi21oO4DiXfddZfcc8898Y76L33pS2lX1gc/+MEyfjVwRWlTTs5wAQKJAOqBZiQODQ2W6fg4+bxSJAOUYo5EtwdPAdS+yeOlZiTWTqDOfsx24/KhumkQMTkj0drOStNeAFDLmCMRqDz/0q5oyf9AYruxaVl0/uLk22tF3QcSP//5z8vFF19sGnD685//+Z9l5cqVCStJG32dnZ2yZMmSin1RqAQa9XCLaE8NlW8A1Bp7IFAzEicmcstILG6/m1NvOG0A16njr6StrV2Gh4cqvRiALSOx8NKmnZ1dsnv3TtfuYzpfL1BMPp9XfD5fSiCA7Q1AYXMVm99YeUAFzf7EwXW5/us+kKjzIWo5U3XbbbfJqlWrpK2trdLfC1xAz83JIweBSiAjEUA1yrePOb/SpvUY9aLDoF6dffb58U5nwD0KOyYdddSx0tjolzff/JO4xSmnnCmBQHSO3lWrDpElS5YV5XVJNoNasWI/CQaDSdtGJH4fAOR37i28KgCA0giPBCTYF+3LaOhuEm9rY02u6roPJD7wwANy7LHHSldXl+zZs0ceffTRjCvsrLPOKtuXgwqxnZEJJMINaCQCqJfSprlmJBYzUFea0qbFf826Tskzn75+P39zc3OlFwGwHS+tjMTCVkpjY6McddRaVwUSNQvRykSMViPqrvQioYboQCn9ZxcOR89p9DcAyBclkQH3GHurVwZ+v0kmNg0kXK77F3dKx8mLpGX/6VJL6j6Q+JnPfEZ+9rOfycEHH2x+z5YVRCCxvjqsvEmTogOVwXAzALV57LJfCOdT2hQAUKnSppO/AygMWeYACjoLe6IlxjkHA5U38IfNMvDgBvFNa5b2tQukYUaziNcjwZ4xGXtjr+y99XXpPG2JdJ66WGpF3QcSH374YZk1a1b8d8COEYJwA0qbAqiXjEQtbTqVubcK4ynBc4qfPVe/+XiTyNAHKr0PRkuqTf4OoBDhMOWqARSm/NdKAJKNv9tvgogdJy6SztOXiMeXtE9+YJkMPLxJBh7eKE37dEnTsq6aWIl1H0hcsGCB4++AnpwJJMINJhuJNBYBVI98L3A1I1HPvcFgwMyfVezXT/86UnTMiwWgVlFSDWA/AlDZjETiiEBlDT6xVZr3my5dZy5N+xjNRAxsG5KhJ7YSSKwVX/rSl/I6YP/TP/1TSZcHbkJpU7gDjUQA9cDn85kBPOPjE1kDie4P1JVgAcv0md29bhlQA1R0D/RMBhLJhgAKR0AeAIDqNbF5ULrP2Sfr41oPny29v3xHakXdZyQ+9thjOa8sLpbqi14je7zMkQg3oOMUQO3TdpaWN43Ok9hezncu43sBQDXziIQjZmDDVAe6zZo1h+ovqFuUNgVQCKpVAe4QHgmKrz17FSVva6NERoNSK+o+kPj73/++0t8BXCqiGYkEEuECbh/E4PLFA+DiY0Py8U3Lm0YDidm4Om2uqjMNOKYDyGS/XTPlLe+EeDxTG3D5gQ+cy4pG3YpEmCMRQO32EQG1ztfll8DOkawlS/Uxvu4mqRWkWwHJbOdj7xQvkIFicHsbsYr7ywG4jAYSx8dzCSTWzzHWPsCpntX3pwfc03HpDXnEF/Ey4BKYgrBm9gIAgKrUst90GfrjVokEQmkfEx4PytDjW6TlwBlSK+o+I/Hggw/OayTHK6+8UtIvBO7KJiAjEW7AaDMA1Sn/CN1kadNyKn4kkQEWAGqVNaiB6yRgCvsRGYkAptA3VC0DIYFa1XHSIhl5ZZfs/u8/Sfe5y8U/P3Fqloktg9J7z9sSDoSl/bgFUivqPpD48Y9/nE56pC9tSkYiXIFWIoD6kHtpU7cj06D4q5R1CrhlsKV2ZDLQDfWiFNs6GYkApoY+IqCSfJ1+mXnVatnzoz/LrptfEm+7XxqmNWlpQwn1jUuof1x805pl5sdWia8j+1yK1aLuA4nXX399pb8DuBgjbeEGjDYDUC9yLW1qdWQDAMpHj7umagvHX6Bu51IGUElc/wBu4V/UIXP//ggZfn6HjK/vk2DvmBlP3DinVTpOWiith88Rr98ntaTuA4nJhoaG5Pbbb5cnn3xSdu/eLTfddJM88sgjsnr1ajnmmGMq8iWhMuikhFu4vbPc5YsHoIqOXX6/X8bGRqXaj7El6R+kz5HzDeCSkozhcLjSiwFUNUqbAiiEddni9j4ioF54m3zScewC868eEEi02bZtm1x++eXS19cnhx56qGzYsEEmJibk9ddflxtvvFG++93vyrHHHlu5bwtlR0Yi3MGqg09jEUBta2pqloGBPql+RP0A1GhGov70eiu9KEBV22+/A83gKQAoBF1DgHsE94zK+MYBCQ8FzN++Lr/4l3ZKQ3ez1BoCiTZf/epXpaOjQ+6++25pb283WYjqP/7jP+RTn/qUfPOb3ySQWEfoAoRbEEAEUC+0Uy2X0qaoP7TLAPdob+uo9CJUBcpXIp3Fi5eZfwCQH2twOYPMgUoL7BmVvrvXy/h7/Y73N+87TbrPXSEN02snoEgg0eaJJ56Qf/3Xf5Xu7m4JhUIJnfiXXHKJ/O3f/m0lviMAdY5AIoB60dTUZKpB5FY61L0X0HQeA6hFtEkBAKgcMhEBdwj2jsnub71sdsqOkxdJ84pu8bZHKw2EBsZl/O1+GX5uh+z69isy5/pDxdfZJLWAQGKOZSxHR0cpc1kv7P2SDH8HAKCMcyRqIHHchcsZqfwcifWOlQoAAIC6xrQ3gBsMPLxJPH6fzP7rQ1KChI2zW6V5xTRpP3a+CSQO/H6zTDtvhdQCJjewOeaYY+Tmm2+Wnp6ehM4lHRl/yy23yNFHH12J7wgVE3FxrgPqiftHf7t9+QBUCw0k5lra1N2HxuJHEiOMbgJQcXrgjbj8+AsAQG3i/Au4w/jbfSYTMVOmoa/DLx3HL5Dxd/ukVpCRaPO///f/losvvlhOO+00Oeigg0zn/f/7f/9P3nvvPRkZGZGf/vSnlfumANQt9wcSAaCYpU3HTWnQzMe+4gXqOMZWE86HQEX3QI919GVfBACgUrh+ASorNDQhjbNasj6uYXarhPqzT91SLchItFm4cKHcd999cvnll8vY2JgsXrxY+vr65IwzzpBf/vKXsnTp0oJW8vbt2+Vzn/ucHHfccbJ69Wo54YQT5P/8n/8je/fuTXhcMBg0mY8f+MAH5OCDDzYBzf/8z/+UQCAwtW8ZQFUjjgignkqbqkCguhvbVOEEUMsIIwIAwBkYqFuhiHgafVkf5mn0SmQiJLWCjESbbdu2yaxZs+Qzn/lMyorSwOJLL70khx12WN6vecEFF5ig4UknnSTLli2TN954Q+6880554okn5Oc//7lMnz7dPPYrX/mKuf3II4+UU089VV588UW56aabZN26deYnysPT2mh+RrhChksw2gxAvfD5fNLQ0GDKm1pBxerEJIkAarhNyig3AAAqcB6O/8baB1B2BBJtNHingTzNBkz2yiuvyHXXXWd+5uOGG26QPXv2yNe+9jU577zz4rd/+9vflm984xvyne98R/7xH//RBA31vc8++2zzHKVlvT772c/KvffeK48++qiceOKJhX/TyJl3/27xLukQuf15+gHhEjQSAdQPDSBqedNsGGRRXwjNAu7hYYcEAKASZ+Do/+kiAipu7O0+CfaOZXxMcO+o1JK6DyRqoE6zBq3A3Ze+9CVpb29PWVGbNm2KZw7mKhwOy8MPPyxLlixJCCKqj3/84yaY+Nhjj5lA4h133GFu/+QnP5nQQabZkVpW9a677iKQWCamY7I1umvQSQk3oJEIoN4CiZqRmIm22YqlFOf6Yi4fALiFdbzkGgkAgMrhPAxU3sCDG6Te1H0gUecj/NGPfhRfIX6/3/xLLrN1xBFHyEUXXZTXytU5D//2b//WMTCpr6n/Rkejkennn3/elFVdvnx5wuPmzJlj5mZ89tln8/xqAdQKGokA6unY1dSUW0biVDBAoxoRnAVQbThuAQCKh2sYwB3m/q8jpR7VfSBRy4VaJUOvuOIKk5GYHMwrlAYkr7rqKsf7nnrqKRkZGZHDDz9cJiYmZMeOHeZ3JwsWLJD33ntP+vv7paurqyjLhhxx7QcXIJAIoJ5o+6nUgcRSX8SXIiORLEcAlccciQAAVI51EUJtU6CSJjYP5vX4hmnNUgvqPpBoZ89MdKIlUOfPnz/llT42NiZf/epXze+a5djX12d+7+zsdHx8R0eH+Tk4OJgxkLh58+acOuc0yxHZEUOEe9BIBFBvpU0nyviOHGOrgcZmGVgDVH4QBddIqDdkAAFwG45LQGX1/OTNvB7fevAsqQUEEm2GhobkxhtvlOeee04CgUB85LfOdaglSHft2iVvvPHGlFa4vu6nP/1peeutt+S0006TM844Iz5HY3JJVYt1e7b5gvT1stESrdZ8jJ2dLVKtvN5op9/06W0le48dHpGWFn9J36PalGO9I3WdW+u9u7tVurrct+51+Wppm2A7Z73Xi1Jv6+3tzVlfWwNDyY/p6moXjyeU8bleb8DxubmKRCYnPW9s9Kbc7/N5M16tZwtoNTSkvuZUpSxTiZTrffLV1dVSkvWai1o6x5UL59LaXOfB4JDs0GOcz8t+kcN6b25uLPl3Uo/KfXzx+xvq/jvkmF4ZrHfWebK2tiZpDPukubl2+irZzlnvNVHaNByRHf/+vMz42CppnNMqtcqdPQUV8s///M/yk5/8xGQd6vyGjY2Nsu+++8rw8LDs3r1bvvzlL085E/H666+XP/zhD7Jq1Sr52te+Zm5vbm6OBxmdaOlT1dpauxuiK3kY5QN3IAMDQD1pamrOOnjK7ShDCqA2aQAnQts0r/UFAECRzsIekeMGVoovxBoFKqlhWnPCP1+sdKmvw59yX62UNVVkJNo89thj8jd/8zdy3XXXyQ9/+EN5+umn5Rvf+IaZy1DnT1y/fn3BK1rnN/zEJz4hL730kqxevVq+//3vS3t7u7lPf3q9XlO61Il1u1XiNJ2HHnoo63LYsx4HBkYlGAxLNbJG3vT0DJfsPcLhiIyMTJT0PapNOdY7Ute5NdVWf/+ohELuO2zr8tXSNsF2znqvF6Xe1oeHx7O+tgbckh8TCnlkYGA443MHBkamtOx6PLU4tYVCoaTbkuY8zBYoLEX7KmWZSqRc71PId1apdmstnePKhXNpba5zvX60jhPsF9nX+9hYdEAw66q6jy/j48G6/w45plcG6511nmxkJCAdEa+Mj9bOcYntvPbX+6xZmeMZqB7u65GuoIGBATn00EPN7ytWrDDBPisT8JprrjFBxc9//vN5v65mM1599dUmEHnUUUfJt7/97XgQ0QruaRbkli1bHJ+vt8+aNSvhOU4WLVqU97IBcD8yEgHUk6amJpmYICMRANyaYech0w4AgIrQ4YzMkQigEihtajNjxgzp6+szvy9dulT27t1r/ikN5GlAsJB5F6+99loTRDz11FMTMhHt1qxZIzt27JDNmzcn3L5z507ZsGFDPMCJMsuccACUBY1EALVb0i31MX5/U5lLm1J6rjrQKAMqjTYpAABuGGTO9QuA8iOQaHPCCSfIzTffLK+//rrJ7ps5c6bcdtttZo7CX/3qV+bvfH31q1+VdevWyfHHHy833XRTQmlRu/POO8/8vOGGG+LlsvSn/q0uvPDCQr5fADWBRiKAWu1wjlQ8I7E0HePFD3oRRgNQebRJAQCoNM7GACqB0qY2n/70p0324L/927/JrbfeKn/3d39nSpl+73vfM0G9L3zhC3mtXM0uvPvuu83vGpjUkqbJmpub5eMf/7isXbtWzjrrLHnggQdk27ZtpgTqCy+8YP6dffbZJsiJ8opwZoZLUNoUQD3RjMTsgURT1EfcKssUimCdAlVJB15ED2/uPf66CecCAEBpcB4GKmnPD//k2Obru+8d8Tb7Uh4/8+rVUgsIJCaVNr3nnntMOVF1/vnny+LFi+Xll1+Wgw46SI4++ui8Vu6LL74o4XDY/P7jH//Y8THd3d0mkKi+9rWvyfLly80y3HLLLWbeRCu4CaB+UUYKQD1d4GogMRAImDaU11uO4hlVciFOjzQAt8yRSOMUdYTNHYBbcP4F3CE8EU5pHzQt6zI/I4FoLKgWEUiMzWN47733yv777y9HHHGEzJ07V1599VX513/9V3nnnXdk3333Nbfn69xzzzX/cqVlTz/1qU+ZfwBgobEIoJ463qwy8FpaXis3pIupFatjr1pKmwKAW1TJ8AsAAGoSfURAZc3+xMF1+RXU/RyJPT09JvPwX/7lX8zciEozEq+++mp56623TCCwra1NPvaxj5m5DlFfuEiGOzChNoD6oVmIjY2NMjEx5uLkv8wtBJIHS4NOE6Cy2AcBAKgczsMAKqnuMxK/9a1vmfJZmpG43377mZXywx/+UEZGRuTmm2+W0047zdymWYI6x+E3vvGNin5hKB9yCeAWNBYB1Bstbzo+PlHC4T6eErcJqrcV4d4gqGsXDKg7tE0BAKgMM1M8NZcBVEDdZyQ++uijct1118WDiOrhhx+W6dOnx4OISjMTn3vuuUp8RwDqHG1EANWp8EBfU1OTTEyMS7XWH3BvMA4AptYmjXg4wAEAUDkR4VQMoBLqPpC4Y8cOWb58eXyFaFnTzZs3y9FHH52woqZNmyYDAwMV+IpQOZyc4Q6MNgNQuzwZMhLLE0islsEa5eq6r5b1AaASOEAAAFDxviFOxwAqoO4Dia2trTI8PBxfIc8884w5MB9zzDEJK2rr1q3S1dVVga8IAKKtRDp3AVSTqRyzNJCYKSMx4vqUP7cvX/Vx/VcO1BH6LwEAqBwPZ2IAFVD3gcRDDjlEHnzwwfgKue+++8Tn88nJJ5+csKJ+8YtfyOrVqyvwFQGod2QkAqhOpS1tWtrBFVOLWhH0AlDLbVLapqgvhM4BuAXnYQCV0yB17i/+4i/k6quvNiVNw+GwPP3003LBBRfIzJkzzf0vvPCC3HrrrfL888/Lf//3f1d6cQEAAGpeOUub5tRBmHdkkPQ5AAAAAMVDlSoAlVT3GYlHHXWUfOc735FQKCR79uyRa665Rr74xS/GV9Df/M3fyOOPPy5f+MIX5Nhjj63ol4XyijDwEC7BqG8A9SZbadOo4pyouSAHgFyPl9Zxlwul3DCoBABQXJxZAFRK3WckquOPP978c/Ltb39bli5dKp2dnWX+auAKnKHhAgQSAVSjqQTospc2dfcJmtKmJVinnA8B12BuJgAAKnMG5jwMoFIIJGZx8MEHl+ebgEsx2haVR7YMgHo7h+ZS2rR4x8bsL5R/2NLdgU4AKIyHoxsAABViXf8w2BxAJdR9aVMAcD8C2gDqi9/vz5iRWMyMv1IM1oiUIiWx7tMcCc4C7unArPSSAABQjzwS8dAmBlAZBBIBwOUYbQag/kqbNsvExIS4Rt0H8QAAnDoAAJXEQB4AlUQgEUgjwsh3uASBRAD1V9rUL+PjYyV7/WrE2GMAbmmTMkciAACVQx8RgEogkAhkUF9dlHAr6uADqDdNTU0SCoXMv2o825ektGm9Y5UCAACgrsWuWyL0VgIoPwKJAOByjDYDUG8aG/3m2Jd+nsRIWUsEEcMCAHPENEdE2qYAAJQfcxUDqCQCiQDgeu4ebUZnEgDnY8PUjisaTBwfTxdILCYyEquBBnM53wCVxdxMrC8AQCW5u28IKLedO3fKmjVr5Pbbb8/5Odu3b5d/+Id/kOOOO04OO+wwufTSS+XJJ58s6XLWCgKJAOBydJwCqMcLXS1vmi4jUSuH0qENAOXmiWZocwDOCVWuAQDFRqUUIGp4eFiuv/56GRoaynmV7NmzxwQOf/vb38oJJ5wgF1xwgWzcuFGuueYaefjhh1m1WTRkewAAoLLoqwFQj/z+9IHEesS8ixHWAeCWNim9mAAAVOQ8bKp0kJmIOrd161YTRHz99dfzet6NN94o27Ztk+9973smkKiuvfZa+chHPiJf+cpX5Pjjjxe/31+ipa5+ZCQCaZjrYy6S4QqUrwBQn4HE9KVNo5fQbh2sQdAPQG2KHjBpmQIAUIGzcOzChcHmqGe33HKLnHPOOfLmm2/K+973vrwyGO+991455JBD4kFENWfOHLniiitkx44d8sQTT5RoqWsDgUQAcDlKmwKo1WNXpoc0NfnLlJFIl3hVYHAX4ArsigAAVArXLcBtt90mCxYsMPMinnvuuTmvkFdffVUmJibk6KOPTrnPuu3ZZ59lBWdAaVMgHc7PcAkCiQDqkd/fnDYj0e3zTpGRCKAWxQd/kAqRI5efrAAAVah4lVmActi8eXPOj120aFHWx3z5y1+WtWvXis/nkw0bNuT82ps2bTI/Fy9enHKfBiZVPq9XjzwRejrqVjgcdn1HXDpeb/SkGQ6X7gPsvfNNaT1ijrQsn1ay96g25VjvSF3nuq+Ojo5Kc3OL64KKo6MjZpl02WoF2znrvV6UYlvXY4KlqalZvF5vwcePYDBgAnKNjalzFEQiYRNkLPTYo687NjZqfm9oaJBgMJhwvy63HnvT0eXO1ITOdn8hSvGaTrJ99kpp9jdJIBSUUChU9vduaWkt+3tWO86ltbvOe+5fL/6FHdJ+6NySvk8trPdAIGDOZRxDyrfOi03bKtpOcGqL1BOO6az3euH2bT0cDsne7/9JOs9dLk2z26UWuH2d16pyrvcDDzwg58euW7cur9e+++675XOf+5x88YtflMsvvzzjY7/73e/KDTfcYOZJPPPMMxPuGxsbMyVPjzrqKPnRj36U1zLUE0qbAmm4LF4DAECd4UQMAK5EXx8AAACqiA7wUn5/6uAg67Z0FZEQRWnTOtbfPyrBoPtGnOdi+vQ287OnZ7hk77Fx4yZp7B6V+dPqe/Rhudc7Utf5zp075Sc/+Yl89KOXS2uru7Iibrvtv6StrV0+8pFLpVawnbPe60UptnU9JlhOP/1smTdvQcbHajmSyy671vH+9evflE2bNsippyaOFlR79+6RP/zhf+SjH72soOXs6+uV++77ufl92bIV8t57byfc39XVLf39fWmf39raJiMj6debZp/YszOLoaWpWUbHx6TUZnZPkz19veI2HzzuVHn+7Tdkx45tZX/vK6+8ruzvWe04l9bmOtd5Zf788svS0jtd9lvSUbL3qZX1/txzT8obb/yJY0gZ13mxaVtln31WynHHnSz1jGM6671euH1b37p1swS3bpXAK6OyYs1BUgvcvs5rVTnX+0MPPSRu0NzcnBBQTG7jqpaW2qm2VgoEEgHA5dxWzhQAyqGpqUkmJko/IrA0h1jSdVinQO2xjpe0TQEAqMR5OD5ZMasfVSOXeQ/Loaury/wcHBxMuc+6raODgXKZEEgE0ojQCQjXoJEIoP74/ZkCicUM1HGMhbPlo7NlxEt5GyD5eOnhuAkAAIAqsnTpUvNzy5YtKfdZty1btqzsy1VNCCQCGXhIKICLRp2RmAigmkw1Y0UzEks1R0Gps2kiJWg/MMCp/EHf5nCjhDyhsr4n4HZcHgEAUFkM6AHyt2rVKlPe9Lnnnku579lnnzU/Dz30UFZtBt5MdwIAKo/yUQDqOSMx4hCVK0Wgrrhcv4AAkDfapAAAVA6DzIHCtba2yumnny7PP/+8PPLII/Hbd+7cKT/60Y9k3rx5csIJJ7CKMyAjEQBcjkxEAPUaSAyHwxIMBqWxsbFkHdpV0zFe57HJygSP63ylAwCqp50AoC7QOgWyGxgYkFtvvdXMeXjVVVfFb//MZz4jTzzxhHzqU5+SD37wg9LZ2Sm//vWvpbe3V771rW859jtgEhmJQBqcnOEeXLwCqD8NDQ3i9XrTzJPo7rO0+zMmqxN9uYBL9kGOcQAAVOA8TN8QkGsg8Zvf/KbcdtttCbfPnz9f7rzzTjnllFPk4Ycfll/84hdm7sTvf//7ctJJJ7FysyAjEciIkzQqj8YigHo99kXLm05IW5tUFadyrJjyWq3QKqQtCLA/FIZTAQCg+CL0EQEx559/vvmXbOHChbJu3TrH9bR48WK56aabWIcFICMRyIR+QLiA2wOJbl8+ANV7bPD7/TI+PlaU5QHyRTMQAAAAAAACiQAAAHCppqZmk5FYfYMhCEEBqD3meMn4MQAAKnceNvUyOBkDKD8yEoE0IqYTkI5AVB4ZfwCqU3EyEp3mSNRycW4+NlLOrgTrtASvCaDQayQAAFAJEfdeAgGocQQSgQxc3EeJOuLmznIAKCWdI3F8PDWQ6H50tNcKzsCAQ5uUQ1yOWFEAgGKKZSTSRwSgAggkAplw7QcXiEQicmz/SpEgGySA6lGM69umpibHjMR6PEHXfRZQ/X3lgIuxQwIAUG7EDwFUEoFEIB2GoMMldLRZa9gvEqLTBkD9ZSQ6BxLdjdKmNYRTLxBHBgQAAJXHHIkAKoFAIgC4HJ02AOpVeUqblmLkENGn0qxTRnkBqCYcswAARTyrkJIIoIIIJAJp0AUIt6CxCKBej13pS5vWIRomAAAAABioAqACCCQCGTGKFAAAt5U21blj3TzIQpcPRV6nFVqh8+YtqNA7A6h+nAsAAMXkMfOmezycXwCUH4FEIBPOzXABq6/cvV3mAFC9pU1dHI9EhWlHTVt7R6UXA3AVLo8AAKiM+HVLhAsYAOVHIBEAXC/aSCTBBUB1KUZpU39VljbleF2KlVqZoC/dNAAAAHATBkICqAQCiQDgcpPl+xgDDqC+LnD9/maZmJiowlKhkZJkx6H8qm7TAwAAQI2yLrAY6gag/AgkAmnRcwR38Ho5VAOoT5qRqEHEQCDgcK97L6CrL/AJALljaqbccCoAABQT094AqCR6p4E06AKE29AZAaDe+HwN4vP5Usqbcjys15aZe4PHQP0gPxoAgMogIxFA5RBIBDKdn4kmwgUobQqgOhUn6OP3N8n4+HhZ5wYhoxDx7YxVASQeH1kfAABUhF7/mKF1NFABVACBRCAdrpLhMnRsA6gmxbrAbWpqSslInOpJutTHU47XJVinJXhNAAVihwQAoALISARQOQQSgQwY5AM3ZSS6tZTfZMYkABSfZiSmBhLr8Bjm0nNATauSTQMAAAC1L3rZwkUBgMogkAgALhft5NbGIg1GANWktKVNAQCVQYw9V7TdAQDFPwNzHgZQCQQSgTS47IPbUCoPQD1yLm1aRZmERUK7hHUOAAAA1NllEACXIJAIAC6nneVu7kAmwAmgULkEA/1+f0pGIsed+sN3DgAAgHo2eelEJBFA+RFIBNLxuDl0g/qcI5FtEkD9jZRtamou6RyJ1YNzAKOvAQAAUL9ig8y5LABQAQQSy2jnzp2yZs0auf322x3vv/fee+W8886TQw89VE444QT56le/KsPDw+VcRCTj5AwX8Hqjh+rGhgZxo3orLwig3HMk+kscSOQYhgwYxAMk7hL6H9dIAABUDpcvACqAQGKZaEDw+uuvl6GhIcf7v/vd78r//t//2/x++eWXy/777y+33HKLXHvttTIxMVGuxQTg0kDijBmzpLm5tdKLAgA5K9YYA7+/ScbH3dUWYgAFgPpGJBEAgMpdgxBJBFB+7kxvqTFbt241QcTXX3897f033XSTyVa87bbbpCGWdXTjjTfKt771Lfn5z38ul112WZmXGnp5zKkZbkGnNYBalEvJ5qampjQZiVM5S0++L0nVyGU7AQAAANyA/iEAlUBGYolpVuE555wjb775przvfe9zfMzPfvYzCQaD8pd/+ZfxIKLSv9vb2+Wuu+4q9WICqAp0aAKox9Km6QKJqD8M8QIAAEB9ig+ApMY4gAogkFhimmG4YMECMy/iueee6/iY5557zpQuPPLII1NG4Ot8iX/+85+ZKxEAANSlaGnT8ZRMxqlkElbjtXc1LjOA2kRIHwCAypyBIx4uCgBUBqVNS+zLX/6yrF27Vnw+n2zYsMHxMZs2bZJZs2ZJS0tLyn0ahNTOso0bN8qBBx6Y8b02b96cdXn8fr/MmTMnj09Qzzg5w0XosQFQp2V5dGBVIDAh4XDYDLxCfcqlDC6AMqBNmjMOWwCAUqC0KYBKIJBYYscff3zWx/T19cnSpUsd7+vo6DA/BwcHs77OaaedlvUxRxxxhNxxxx3m987O1MBltfB6o1ew06e3lew9PF6vNDc3lvQ9qk051juc13lDg1e6u1vF1+533Sry+bw1tU2wnbPe60Wpt/Xu7pacXjvbY0KhZvOzra0hPuhqaKh5SseecHg0/rue65Ppa+ey7sqpXHM5ZvvsldLR0Sx+v6/s7+v3N9TUOa5cOJfW9jpvaPCxX+Sw3pubo90tHEOq+/jS1ESfAMf0ymC9s85Tt4mA7NTrotammjm3sJ2z3lE93NlTUGd0fkTNFHRi3Z5c0gtloGXTGHILAECBihP50qoOjY2NtIXqXqQy70giJJC6XwB1pFwDeQAgG45HACqJjEQXaG5ulkAg4HjfxMSE+dna2pr1dR566KGsj7EHLAcGRiUYDEs1skbe9PQMl+w9gqGQTEyESvoe1aYc6x3O61z31b7eEfFMOB8rKikUCtfUNsF2znqvF6Xe1vv7R8Xjyf7auby/zpO4a1evhMON8TZMKBQpeNl12SxjYwHH41om4XAFglplestsn71SBgfHJRAIlf19JyaCNXWOKxfOpbW9zoMBrpFyWe/j48GyfSf1pNzHF/0e6/075JjOeq8Xbt/WBwej1zAjIxOuXcZaW+e1qpzrfdasaLVFVD8CiS7Q2dmZtnSpdXt7e3vW11m0aFHRl62e6VxMmgUBAAAqSwOJxa3OUI05NdW4zAAAAACKOTcicyQCqARKm7qAzo+4a9euePah3datW00wa8mSJRVZtnoWDSQSawcAoBDFvMDVigoTE4mBxOK9PDXLAMCNGdLVjvUEACj6uYVVCqBCCCS6wJo1ayQUCskLL7yQcLuOvH/55Zdlv/32k5aWlootX70KhUPi87KLANnRCQ+gtJqamhwHXAEAyk3nkQcAAOUXy0hk1QOoAKIkLvDBD37QZB3efPPNCZ1k3/nOd2RoaEguvPDCii5fvWYjRiIR8XkpbQoXYegZgLoubTqWdCuX0PUkUqmTIOdeIEHIExFPmOMvAADlVsSCLwCQN+o2usDy5cvlmmuuke9973ty/vnny0knnSTr16+XRx55RI488kj5yEc+UulFrDvBYMD89BJIBACg4he6GkgsVUZitVyQUyKvQuudSCKQIOgJiS/ESgEAoFKYIxFAJRBIdIm///u/l7lz58qPf/xjufXWW2XWrFkmuPjJT37SzAuE8tJSs8rjrZLeRQAAXMdT1NKmg4MDRXs9VKEKZAaSjAg47Re6Z3CNxFEEAFCxAGKE8zCA8iOQWEaabaj/0p0MLr/8cvMPlRcKhU0QUf8DXKFaUmYAoGSlTcfjf2v58alIfLonbdtsqu+DYuNcCFRaWPdEDo0AAFRIhCYxgIpgjkTAQTgcolQAkCNinABKLVradLzOjz313XNfsU9f36sdSJORyI4BAED5eTgDA6gYAomAg3A4HAskcpEMAECl5+7Q0qbJgcSp4fxejeoveAy4T8QTISMRAIAKtoVpEgOoBAKJQJpAojlD088IAIDrSpvWY3CKJkkl1gBrHXDcK5ibCQCACqiSCxcANYlAIuCA0qZwHdqLAOpYakaidmVzYASASpQ25egLAED5TQ6A5EwMoPwIJAJJNmx4V1588VnmSIT7RMiMAFC/GYnBYFBCoVBRXo/DKQBM5SDK2gMAoPyiAUTCiAAqgUAikOTVV1+UHTu2RQOJXCQDAFDxORL9fr/5aWUlaiCwWkqSokhokwHuyUhkfwQAAADqCoFEIHmn8HqL3gEKAAAKp+dkDSZOTEy4YjXSRgBQr5geEQCAytBuyrAnzIAeABVBIBFI3ikIJAIA4MryponzJBZrwE/q60QzHhlQ5CaVSIBiJk7Aab8gIxEAgMrwSFhbqMWZ7QEA8kIgEUgTSBQvHYhwGcpIAagqxT2PNjU1yfi4PZAIAKhEIJE2aY7rigl5AQBFpOMcQx4d0EPnEIDyI5AIpMtI1P9xcgYAwIUZieW4eHbZgKK6b5NUKD+QfhogZZdgjkQAACqVkRgWDxmJACqAQCKQvFN4feYnI0gBAChcsSuDaiCxFBmJVDAFgNxFiCICAFAxYT0PhxnpBqD8CCQCNv39fbJt2+bJQCLnZriFyxJjAKDctLSplZEYncOwvr6DSL0nPrp1uYC6zEisswMwAAAuoNc/pknMeRhABRBIBGwGBwfiv9NfBQBA4TxFjvQlljadquxn+XoLVMIZFSqApH1CdG4m1goAAOXniZ6H6bEEUAEEEgEbny9a1tTgChkAgBLzFFjatJjz5RExTFgbLl0dxC0Adwh6wuINF/bc8MZBiQQLfDIAADCBRDISAVQCgUTApqGhwfaXS3vSAACo89KmNVu+E+5CUxBIEfKExBsqbOcIPr5Nwuv7WauoMpwMALio4osekriYAVABBBIB+w7hte8SzJEIF3FriggApJXLcSv3iJ7f749nJHLtDACVy0j0kFQIAEBFREub0j8EoPwIJAI29o5JkhWAysyDBgBOmpqaZWJion5XTt1HTyNlH1NjSkcBSBCSsHgiHomECt0/2K8AACiEtoXNWbTurwsAVAKBRCABF7YAABRDsYM+mpE4MTFme31PCc/3GrRikITb0GcCVF7Imke+0LkOudwCAKBAnthM8VynACg/+4RwQN2LxHqoWlvbZFbLHK504S70oAKoY35/k4yPFz8jkXhhdSD2ALhDV3e3+EP+KbdLw3vHTAVs7/Tmoi0bAAC1T6dhomUMoPzISASSAokdHZ3y0Y9eJjNmzmLdAADgEk1NTRIOhyQYDFZ6UQCgbn3o3AvE39RUeHTfSmj8zUYJPrCxmIsGAEBN04op0dKmlV4SAPWIQCJgo4N6EkqZcXIGAKBAuZTcyb0sT0NDozlHT0yMc4KuR6aNVv63pXAUkGbHIBsCAICyi2iJcfoqAVQAgUTAJhIJTwYS6TkCACAv/nBD/MK22EEfPT9Hy5tqILGoryzVgP4CAK6hB/gCp0gEqg0l0AG4SXSORAAoPwKJQJKEjETALdgsAVSBE/v3k9mBjpIduLS8qWYkkghTjwilAq7qRQgXuE/W0QG8jj4qAKBspU3JSARQGQ0Vel/AtXMkJnR8cvEHN2F7BFAF/JHSNS81IzFa2rQcGMEBzr2A8+HRkxAlC73TL97FHeJpzD5OObxlWMLvDLBiAQAoFH1DACqAjEQgKZBIRiIAAO68rp0sbcr5GgAqxquBxMk/Q0/tkPC7/Tk9NbJnVCKDE6VbNgAAaj0jEQAqgEAikBJIjP1BiVMAAApWitOoVdq0HOXmaAa4i9u7TMJ7x2Tip+srvRhAeXhEAvdvkInb18VvCr/RW9BLTfzsbQm+uLuIC4diCz66TUKv7WXFAoALLF66jzR4KTAIoPwIJAIJyHAAAMCt/H6/TEyQyQL3BS8ju0ZEguESLg3gbpGhgETGQxIZDkT/hXLcHyZCEv5zj7hpYGlkJFisV5v8LRg266gahTcPSqjAQDEAoLgWLlzMBAwAKoIhDEBKhoJ9jkS3j38H3IB5xADYRUp2bIiWNh0rwitNnt8paV4laJIB7jHqHGgL/Pzt+O/eRR3ScOJ8qTbht/ol9NxO8V++X1FfN/TqXhMwLfbrAgDqDClBACqEww+Qbo5EYiMAAGQUCYQl9FZf/BxqfuZRGjTf8qHR0qYTZpwPAUCUWmvIL017yTIEMrGO/Sm3D1Q+ezz07oBE0gQ90wlvGjQ/I31TL6OdYLA6sxEBAG7jEQkzwg5A+RFIBNIFEs0NrB4AANIJbxiQ0LM7Y38k35s9Sphv4r9mJBZjjkQgF3MDXeLLdXOjzYh6FYy4dqcIPbldQn/Kr2xqZOeI+RnePlzchaHnBQBQrPNJ5U+xAOoQpU2BDCNqOTfDNTTAXcUbZGQiJIGfvS2e1kZpPH+fSi8OgFIow8jYaGlTjeyU44BIaQL3ced3Enxyu4TfHTC/R0YC5lxX1Nd/YZfIWEgajp1X1NdFdhO3r4v/TklKZ+F3+tPckfhn6E97K7PJFTh3aeiF3RJ+s08aP1ykdmu+KfioaaF3+iX8Zq80nr200osCoNpUed8QMFXBYFBuv/12ufPOO2Xr1q0ye/Zs+fCHPyzXXXedNDZmvg4LhUJy2GGHxfoUUj344IOyZMkSvqQ0CCQCCSLi9caGi3KtBxTPRDjewRoJhsXTwLBsoCbYOkYjg9EydqW8ro2WNiUjsR5FzJZVmV6TSP+4eLqaJv8OhE3ZRu+MZvO3FUQ092n5wrCIpz3xIjYyFEi5LVfhN3qjr3HkbPH4fQV+CqSj3420NaSUS46MBDNXLkF0+9wQLQWabnCJtv2kuUHC6ycDjt7lXQkBSE+n35WDXCLDgej2oV97a+I2ottDpHdcZHpbbq81lnuJVWudebyV3d4ioYjIeKiiy1ALIoFQ9LzQNHn8jmwZim4/AJAvT+y4AtSpr3zlKyaIeOSRR8qpp54qL774otx0002ybt068zOTDRs2mCDiscceawKKybq6ukq45NWPQCKQwxwfANLLqU/N9pjgfe9J4/nLWaVADdFOz+ADG62/zP9L0d9ulTad6unafr4nLoB0ehqGpU3aJfCrDQnZaMHfb5HI7lFpeP9i8c5qSdy2tg1L8PWehMfrHG2Be9+VxktWisfnLXDkeUSCv90kjR9axhdWZPrdNBw3TzxLOxNuD/5uc+IDNUhcyoBXFfEeMC0e4E57QI7dHrj7XfGtmi4RW0DPu7AtOhdhIJYtqAGrUsnjtZ2uBXX7UL41s8V3wLTJx+4aNdtI+Lou8TZn71aJ7IiWTM2FrjNdxw1rZkslhV7ePfk9o2DB32ySyHBQ/JesnLyxLTqwhAEKAPKm51Pr/AnUGQ0aahDx7LPPlhtuuCF+Lv3sZz8r9957rzz66KNy4oknpn2+BhvVxRdfLGeccUbZlrtWkBIC2NCQh5u5NcydU4e+rfMoeYR/LQq93iOREI37WqPzJYV3jVZ6MVzJPqreU8KUfs1ILFdpUwKMeK95t2OAwdreg/+zScJ7xxJWlMleShfIKPS0EMtK0ixIlEZkNDqyP/RGr8k4Df25J55lnfw9QBICXJGkfSB+eyhi2kNmverP0cn2n6e7SfwXrUzM/BsJSGh9X2p7Ko/SpOZ7i7W/Qi/tzjkjMfR2v0z8ZH08eKyB5ZTPs33Y7N+h96IZyOHYT2v59BgRem1vwrGifcAn7xtYbuYTjr9OhoazvmY8u3/TUPrH7RyRwMNbpJT0c0a25R78dCP9brQ0tPleinT9YY4Pse06YV05Hfut5+ixO+m6wNMRCyT2FJaVGOkbl/DGQfPaabOCAdQkT0sDbZI0FUT0fGvOpbSZa9Ydd9xhfn7yk5+M36YVIz7zmc+Yn3fddVfG51uBxJUrbYN7kDMCiYCNXtfFS9bERn8DqI6509xEO68ie5w71lC9gg9vkeCDmyq9GK4UfGqnQyDRU5KMRO2E1XkRplJiMLfnEjRwn/J+J2F7wNp+HrMFNoK/sTJxYw/bGO3QTRhMYi12oe3K+C7FNllqoRd2mUy50IuTQeS4BtZ/LnwHzzQ/PdOaJoN5yWJBWXu539BrPRJ6ZvJcEm9P7cwtmGUCeS/ulsjuaPvLCvaY8pxZhJ7eYQI9mmVoOJTg1/m+Q8/vktAT2xMH0ARjr69Bxlf2JGRALtzQLB2hZgn+cbtIozfx8Q6CT2yX0HO7oq8/lr5snQY8NbBZSvo5tVO2qg0FTEalfi8aZC4GzTpP3q51XemcmgW9Xn9hA0SCT+yQ4OPbzPsG/7itoNcAUKWYIzHt9aieb/VcGoydS1F7nn/+eZk1a5YsX55Y5WzOnDmydOlSefbZZ7MGEpubm5kHsUAEEoEEemFHJwFcqpoD20mLnkunTrWKjzSPTJbECm8tbWcPUDGe1MBKuOC0q+waGhrE6/XJ+PjUAvWJGSGc9+Es7JncTgI/WS/hnjGZuD06ijUuzZyFkR2j5rGBh7ZI4J53izOoRoPof9xuXlezYuqJBjRS1n2JhJ7a4XwH8zvnxDO7JXspz1hQXMt3ZmvnBv+wNeW28JYhsz2EN09mYoVf2ev4/WnALZjuO9V9+6HUzD4tR5wipMHEcEom5vi7/YmB/ohIeNuwyXBMfCOrjOtkBqPZl5PeK14CVgObgZAENXj5WvSzVZRLr0OCz0Q7jp0kXG+EYus7OdO4UoMjrZfJI+PW8QXaGvKegxNAlfO495hcKaaCwR4qB7nV5s2bc/6XycTEhOzYsUMWLVrkeP+CBQukt7dX+vsn5+FO9tZbb8ncuXPl5ptvlve///1y0EEHyQc+8AG57bbbmO4sB8yRWMe6ulqq9tzjjY1inZ7j5Pa56uo6SA4++ACT8TDc2m8OIu1Ffo9qVqr1juzrvLHRJ13drdIwPXEuplKWAgqPBcXXnjoXUGhgXLztfvF4PfKJT3xCvF6vNDU1Z3y9YMgjfbZ5obobG8XX3SSh/nHxdTVJrWzn2uETHg9Jr88rnR3N0tjRIntHQ9IW9kgL+03J1nu57Iltw12+BvG2NIgnXQAhFJHwSEB8Hf6aXee6nWtn2vBAUMZ1vWh7wueVWbNmyjlXH2uODy0trRlfQ48fmhnY3Jzfce266z4uPl+DRCJHmPN1Ibq7l8mSJZ8wvzc2NsratUcl3K/HNW0DpCtB5/Ho/bUZyNHPHg6777P5G/2yKhyWUKh8naWhvWMy+stN8VBz08Zhs53bNcxpk+C21BKELYNBGdXH7h6NP2dad6t4WyczsHK1t6XRlH00Ng+JV88xEa80uvh4WejxJdgzZo4t3k5/tJ8sEDbZnRNDozLs80qXv9HMRxfYOiSeJp80zGxJ217R/Tc8MJG1naHH9pbGBvEHPdKfZg7Lhjmt0j27Q9ys3OfRyF8dKgMPvCeBLYllFWccMFNG+oMy+mJidqHdtOnRfSFydKtEDpsrPd//k3h7JiTs85rl1+80uGNEBmLfh/WZwqNB8298KGT2r+begLQfEr1vz/p3pEEfPxaSadNaZa/9u9wwKNPO3Ec8vtSBI3ti+2j3JfvL4O82SmjPqLSEPNH918bX4JXwcFAisWW02gQT7/ZJ+xFzpNPXYLaf7ia/DG2IZqd1dXZKRCLi9djawB0t4m32yfi7AzKk+7L4xOtrMNupvqZ3JCThBp/pJO5uaZbe9dHOsGknLIpn0w+snCYT7/ZLd3uzCUQWuy2t+07C+lMej2vaaPZtfc+7A/G2mbKvi/G9EzIY+xxNTQ2mvdIe8kpTms+h2515fducl9pW0UFMjY3RY8zotuixyL4u9HvztzZKZ5rXtbYV+3NG20bM67Q2NUpr0vO0Delp8KZtZ6pef4OEfAFpm98hw+8MSEfIK/4Sfj/V0E6vRax31rmTicGQDDf6ZFqN7I/F2M73vvVewjzkjf4G6WhpMhUQvE2Tx9LwRMgM4CikPV5rynl8OfDAI3J+rFV61ElfX7QEfmdn4rzmlo6OaFt9cHBQurq6Uu4fGhqSbdu2mXbOL3/5Szn11FPNtCmPPPKI/Mu//Iu8+eab8n//7//NeVnrEYFEIIGtw1APqoEqjbSi5pS7mtnwE9tk7E97ZOYnD025r/dHb0jbsfOl5dDJ+XGySe5v773jDZl+7Wrpvf0Nmf4XByU07qrZ4EObTMdOPHNkb/oSWagu9oCSbreNizqk60OJ5TQsI89ul9EXdznuP7Vi4L53JLjLOdtEg4ilFO1I5fyM0rN3SKjxN1NL4zkFEc1zHc5r8UyjPMWDiDb9d62XaZcdYAbl1JK+n7xpfjbMbjXrMGDLOFO9t/5Zmg6YIeNv7I0/To9FTsfb4LZh6b/37ZyOxaPP7TD/0mk9cm4Bn6a2eRq9ZgBVyu0ejzQubI8GEhu80nzAdBl7bY9zaVOvRzyxoE3YVkZTz6GjL6WWJRt6bItMvN0nzQdFy6dG7GVC7ZldDpUvRl/YKa1Hpf8efZ1+aTt6royv7xP/iu6U99dBdlbWlz3TrXFutANOtzWrjZuJvs7ws7tl7OVosDHYNy7D974tMz5xcHQ9DNv2d9sxQz9308poBqfV1hx+dIuMv9Vb9PbGxHsOI/ldXk1E22Zq+jWrzWAvNfjgZOnpeBZ3hjnMe+940wTwpn/swLSPCQ9Gv5/ArhFpnJ15wFQm8fOBQ3Z5zw9fl4a5bdL9kQzzN1nt0tjrBPeMin+Ruwc7ACgSPYe6+5Bcdh6/VyJJBWt6fvAn8U1vlmmX7B+/beBX70pwx3BNX6fXMp3eRPn9zgO2rds1OOhk9+7dZm5EzWi84YYbTIlTNTAwIFdffbWZX1GzFE888cSSfYZqRyCxjvX3j0qw4FIalWWNmOjpKW65wPXr35TNmzfIKaecKaHxgESGAzJR5PeoZqVa77VGS5/JwIR4lzqPkilknU8EQtLXNyJeb3n22eDuYQmHwinfdeCBjSYzYHDnsIz2DMttt/2XdHdPkw996IKMrxfuHZVg0oV7z3u95rberf3iKXFHqM5rE36rT3yrZ+S9nZvvs39CvMsyf5+hN3sltGkg3kEx0D8q4W0jZj0O9Y3I4G/6zfxKDWtyD8A6lfLSycO9B04X74zMWaDVxs3Hl/CeUQn+NnFuRL0ACaVZ1uC2Qcf9p1bWeeDudyQy4pwVtnfvHvnxd79rfr/00mvMKP509Pih2YCXXHJ1Xu//m9/8UlpbW2V8fELOOONsKcSuXTvkt7+9z/x+0EGHyWuvvZRwf0dHp0xMjKe9CNH7BwejWRC1Zmb3NNnT1ytuc8JhR8nGnt2yceN7ZXvP5lCjnBk6PH6RmY/h0QkJJZ33+npGxDORGhTMJvn8aendPSTecGkyNHU+Me/yLseAaKHHFw2+6FyzWlrQt/808a2anvazmoE4OmrcQfBPk3ORBbdHA7m7H90k3v2nmeCWJbxn2LzennV7xDurJXEuvce2m9Jg3qUdaddvw4nzJfhodO6xoQ6fSI0e06ci2OIz5zuL//L9ou/f5o2uV59HJlZPM+1Aa/5Q1ds3kpBtZf8Odj+1xcxFaLf7kY3iPWiGBNZFg/nDmwdMezT45z0ysazdzMdof42d33o5ZVmHdg/LyMs7RNobxTu9WULr+kSGA/H9tKd/RDydDSJrZspEJJy6XfSNx4M3u+9/23xu75IO8bQ1Sijo8Hgz8n3QnEdmzIgGPtXeu95KOIcOvttrXmvPC9vjy+Jd2C7h3aPS1xPdhlX/m3ulYYZfwjtHJveTWEC92N95aM9IyvGrFO9TjG09eb337h0WT2uDCdTZ7wv1jpptpvc374l3ffT4ptmrnnmtEv5zr/gOniGB4WjZ0z1v7hHPrGYJv7pXfvzy3bJi3/3lmGNOMPcFe6Jt+/69wyIDoyKDAfM+4bGATLywXaTLb7YvO2s59m4fiF6PHDRDQkPjZh0PD47JWNJ61ccHdw5nXN+B8ZD5PAOv7TY/h/tHU16nXtrptYz1zjp3Eh4ck9BYsGb2x2Js5xM60MfhmB/cPSK7n95q5kBuOG6eTGj7sgqu02vt+PLQQw8V5XWsa7JAIJC29KnSvgIny5Ytk1/96lcpt2uG4z/8wz/Ixz72Mbn//vsJJGZAIBFIyTjxTGYQ2Ue5AjkKPbHDzOXjL0IgsWLSJBRFNKiWZTSv8xNT9yWrk0jr2TccO09KKbxpSEIv78kpkJhM59qJ9I6LP1sgManTy8yRsy7aGR8ZCkp4fbQMg0whkBh8JDZPUFjEe+L8gl8Hea73Bx1q9WeYiya8e2rz97mZKfeZJohYrkzqpqamWICPuQ1RWmPegIzM9Ej7QfPMHFw66MW7X7fpjPDMaJbI7sTgSAKnwXoFZCRqJ4jyzGox7zfV18tV6MXdptyjb7/u4r3oWFAisUzm0Eu7HQOJkwuQ32cLvbJHPF1+8Sy2Z+TEMnUe2iL+S2yZPVq+PZbpGN6U5vtTHo/43jdXPB2Uv0rHd/gs8XT6xbu4XSJDiZ06jWcvNYHE6B9JlRmS/m44eaEE/xCdqzD0XLQ9pQPywhuiAzZCr+41Qbvk+QnN1/nMTmk8c7Hj8jUcN19C7/SbeRJ1gGjwsW3i0UDieftI6LnE0qtW2dDk3yffdHKbjO/3zQ0S0YBOHvPTJZ9DI8PRv0PP2JanrVE8PWMJmY86kEyOnSfB32WeP6goqqiQhmdOq0R2OlRIGEicCzHSN/l3+O1+c22ggxUaTlskoVf3iPegyeNR8PdbpPH8fczclE3hxP3fE8t21GNU6MltZruKP++J7eLpahLvOUsdlzX8Rq+E/rRXvKunx4/faTPVsx4DY8/vjQ54qrd5c4G6xhyJqZKOpRHbOSD0bOz8etw80Urj9PKWX7o5DfPV3t5upuHQ0qVOrNutEqf5WLVqlfm5ZUvq3NmYRCARSBCJ14nWzKHCJz9HXSthx175pHagTNy+LuECXN43N791YoLzqftUcsdTNgHNZtg+bEa95yzHCWH1MwYvPUD67lwnoWl+iewZi5ffCv5hq4S3Tpaws94/vG3YdDhk2g6sgKLSzorwzlFpPL04jamEt9w1IqE/bpfG851LbiJ3gd9uEu+CNjNqPN0+HXhoi3hnNkt416g0nhH9Pk1nYiyLRoNugTveMr83XrzSlMtyM2t5Gy9YkT4LyQWHNzOP8fBwQVliTocExw5jwGwcIn0rfTJ3aWfi4KCV0eBaZJ9OE1DwrugywQA9N1k08JFMs/r1POg7bFbmIJpN+M2+eMAm+D+JmdF6bDLZSb/bnN85MUcaaNF/vrXzxLdPEQZH5RMczHfAkq6OzUMm2Bu4L5q16jt4ZsGvZbQ2iG9he2HPrRN6rrC2ZU/SvMCaJRiXVPI6+bir51vdj0z7MsZ37Nx4IFEFfrXBeSEikYQ2asLrLu0w+3Fw+7CZHzESa3dO/Dh6bp4qT5M3GkjMEMTZ0LRHZshkRqKhZZNj26UVXE943Y5Gieg6S2p/OB1XkoX3jknwNxvFM7PFBFh1HepAiEzndmv9WceR0JPpy/yWvU1y4YqMcwWadWWLwYa3D0eD0cnXHMkZzrG/gw9tjgf54vS5se9Ut1RfwBNfRxooNA9JbvvHt+nJ7yzSNy6B+23bbSywbrUNo28cW5zkbdjh2iXw0GaJ7BgxlUki/YmBUqcSqQBqlMP5oe7l0MY0/U4lnoIDpaWlS+fPn5822Ke3z5o1ywQcnezcuVM2btwoy5cvlxkzEpMMxsbG4oOWkR6BRCClvT6ZkahzWAB5yzFolY9y9nPbR29p+TEtAaVle/J6DV0H+hztsLAymJJHicUCiJE8XluXzeqo1ffIFgCIL0dsV9aOHqvsmcms0qyS6U3mfs0iVcFYxocJIioN/mhpVFsQ0dwfjpi5fVIyRKz7YyOEk1mdQFqmtFCR0cDk830e8cxtNesi0jNu1nUu66aemA6+QEg8tknVdfszt2sH4OBEtAPUEx1prtkVkT2jEh4PiTdD53lEy5vuGJ7cNgNhCb852RGl34dFO6g0g0n3CassbXz71H28M7EDVl/Pflvy39Zt0tGY8F2b7AXdbxu9ptxa2mXXkfT94+KLdYhFFzI2ur1nTDzz2gq6SHu32Z6ZW5ptUBv3WnZ0KoHE3LAPuY+7vhPt3G78yHKRZj3XxfqPx4ISuOdd5yfE2pUmu2r/bhHNRIrtwxqMkNFgvNS3GZTg8USzkLTPaFaLNF600pyPrNfX85Sex8xLP7PTBGP0OVYGnR4zNKiQbyns5AyZyOYhkTwCiXpsCrc1S2DroER8mp4fMculnep2GgT1zomWHtJzcGQgsT2ggUDvso7486Mj8GOD/TQQEwhL4N7Jda3ryp49qINrUj6XHvuTliOd5PKEmAJbx50OrHHiO3pOPJBogkc61+I5S1MCiL6j5oh3fpvZZzRgZs9ObHj/YpNxaLYZ3S91P1jcboJq8ew+WxAv/jyHKg+6nIG73kkJ0Hj3mzY5QKzRJ+HhkITTDIobbQnLetkp7/vwWaa9FvjFO7HPt1zCr/eawWXx113YHg1KartSl1+DTnpcsLE/3s60aXvGzb4ez1DbMxot7/nUzsl2hK3Er+PrDAWi6y+ZHldaijufuWbymffT9lcwnNLGiVcGmgiLZAgkJg9wCq/vL2gwcOjPiSW9I/q+urlEvNI6bBsIpsuqpVPTVGewX9doiWhDsxhHg9HjfLIswQCdnsF8pxFtd0aPaWHrde2P2z1W1e1/p3YugDRqdLp40/86Hsp4DZtWDoFVHfxLILH6rVmzRn75y1/K5s2bEzIdNUi4YcMGOf3009M+97777pN///d/l8985jPyiU98IuG+F154wfxcvXp1CZe++hFIBGzsjW8dter2SeXhUlW+2ZiR/LH9IPDL90zHTkK5pRyE3x0wJUHNhbZeiDtd0FsdM1rqLBQWj3bs5DDCevIGvbrPvByRDYOmzJDviGg50dDj26ThlIXR+3aNmiwOz+xWkZFoZ4YafydWgtSS7npcOwO0Y8BpVJvXY8ohZZLt/sxPnny+dhxpR5voxXfE1vnSWJ0dCaUQemK7CbzaM3bsnc/J4o/TTj8rIKCdaDOjpQydWBkwdvbtVcvuWRo/ulw8Wg5t85Aps6YazlgkXt0WYwF8fb3Gy/aNBhh0VL7+/cGlCfOJ6m0NJ8xPKOUX/tPe+LaRKUMp/HqP9L7ekzjRfGyX1DnM0j43w0WaZ3aLbN86mU1SyozEdHMXwpVjYWp6ueJl7qxDbi6dH6GwhJ7fbUpeN5y60ATutfy2/m3te4G73xVPs088SzvjgS8zEMZWElLLg1r0ufES2jGN5+1jjkNaos8+kCKr5MyWPFe+Hpv6Z7dJaG/q/Mh2eg7WDHptKzhlm2k2WXKWW4Lk7KoGr4S3Dqf9HBr8Cb0wuc4ycnkGebXRQTk60EaDcOmy8+PXYDNbJjPQHIJa3kXt0f3O+v5jFS/0HGTK2yYFncx5dI/t3G2u8ZLe2yHYrsvZoMHNnvGEwE08UD+3VcTvlUjvhPTf+3biMi7rNIHtkAmkS0qnqLZ5tRxsQiBRKyDoXIu/22wGBejzNZMwHfMYa3sfDkb39Y8sF48G2mMi24bjQVPNaM6WuaxtI8fHeGIDlYooecBFyvta7Y1s2SNJ1xgJ37V+3aumm2kULNrud8oCTSlZH8tY9IlX5m9sFmmf7Oj26CADK5CYHJi2VyR5d2ByGfVzjDoEH7OsVzOvrC1YHv0Q+oUkDfjQAZGapVjieedLQa8DTTv3w/sUFkAA6o3DMaAW6FQxOqCooCobOQQSQ09GpylAdTvvvPNMIPGGG24w/6z+Ev1dXXjhhWmfq0HG//iP/5DbbrtNzj//fJO9qHbt2mVub2xszPh8EEgEHAKJsT+86U/O2kmrE7RrxweQolSNunK2Fe3zwLzVn2FO0VShN3onsw1znEstsn1EPLbyYSZbY7/uhBJMKRkEesGf4WIzvHtUQjoq2bxgJF6GNKSj3XXZYyOdkzsTAhsny2gZTqOHY7drNoU9QKR8Wm5oKJB23iXfwTMmy60VgZZCCr3VZ45Z8TliAqHU+YhiQuv7TBDVt3p6vDxTIUz23es9JqsmcP/GaNZI/4QJHHtXdolveVf0/V7ZI979p5k5YXQb1g4dHS2u68G8Tt+4+a7k6LZ4wFgDf75j55kOMFNaNAfaSaQdd07H5Uis40bLXZl5cdLNaRajwWf785T/sn3Nz3Tl0/Kh68tsv82Tyxp+Z8Bsk9pZpAFLsxwPbzVZj95F0UChVR5LgwKB+6K/W4FILSFnsnlsnVn2bB8tw6odWA2nRwPp2nnZ4PNGR7oHQhJ+o0883ZMd9vo5rQ5+/X5MtqtmQGaYB6rxjMUycltSqa0SBRKDwfyypFPV3sV3faid780K+mmbUjuKzaCW2N/WecVkmP+5x8wBVoj4gAkd0OPwEpot49Ug5vo+c+7SEt56fkzJWop1zmjHv++YueKd2xo95u7TGQ+kmmP5jhHx7T8t+tp7nQddKKuDaOLnb0c765OO2/l0IKV7bPCpHRLeMJhwXM927Lfz+AkkFpNmd+byvSY/RgNu6Z6ngfWctxWrDJy2Kx3adekC7TpPo3epyIQ9AyxWnrLhpAWmSkZKu1EfsnauCQT6J7yJPS7WwAN9z+4maThriQQf2CiNH1oWz8ayPpMpXRnb9xov2VcCP0ksx+o7eq6E735nsoKIGgtJ6PXe1Lm1bTS7LaBBxYtXmjZx8hzfEz9Zn5J9aQYGDgUk+Pwu8e3bbY5TGsRsOGq2WUf5SjetgQbpgo9uM5mV3n1j87NmiCOGtXrExkHTZtS2YzJtG2kpaR2QEfx1rA11xqL0bTltO8cGIFjXMJqRmECrVegx0CplHWt3aWnlhONNLJvciL2m0zEo/G6/hGztL7vArzc4VzjR47Rm2caCpjpIUgd9Bp9OP1+oq8WyPynVCORIuyprsHiaNWewVfkp7eO0IsFj2+J9H75Dcu9byacaFtxp7dq1ctZZZ8kDDzwg27Ztk6OOOspkE+q/s88+W0444QTzuIGBAbn11lvNfIlXXXWVuW3p0qXy13/913LzzTfLOeecI2eeeaYEg0F5+OGHpaenR7785S/L4sVVeB4tI6IgQAK9WIudsPRHmpOz6eCJRIoaDEDtqOZGXXI5M3Nb7+QoWM0MiHdWpBlBG3ohsUMiuXSUdhAk044Oe2eQGaHt98Y7JJ3eTwMvVjDKiQmwxAJBCZNtPx2b98WeAek0qi/LSL+IdtbYgqymo9frMR0fpiSdltTSoNryaEerGQ3tkcmOkSKyymlqZ0lIRy2n6TQ2j13XZzpHdDR1QlnLPGnnhQkONnlNcMk+t0xoz+hkIFGz4/y+yft1cP663vh3p51SplTT0Quij39yh/m+gg9uNp0zOQcSX9ptLioaDo+OKksQy37QkeHJnTgm86HbH89GMOVuteOpY0a0xPVoMB6MU5oVqKPyI5sGzVyXptNJO3SafCaIqp2KWp7MZIhqGSvtiBqcSAyqW8E4W1Au/E6/+ac0IGqWJVY2Nbx5MLX8VvIIfIeOJvu8afHX0oBlrBNUTWwelMjAmGO5NN1mG46cHd1nMwQQ0ylVea1yzVtQpdXBavhzV08QUcsrpsxnmIZVmtQa1JI8OMXcZw0SKZDJoHG4PfTibgnPHDLHcw3KWCW+7edM87ce87R04nDAzCemxxWTDanH6Fhb2AQWtEPfdt5uXTtfhrYPRktJx0ry2WnmmB43S7HJ+Q6YZrLTNBijmZ0aQPKZstVjJuhpOqk0e00H4ejxucFr/ta2hgZSvQvTlHdGVdJztwa+tJy9nhvtrCB+Jho0tIJymhGpbUjNWIzYsh99a2bH28DW+c8/4UnocWk8dWHCoUyDiT6dc9xWkjfO1iY3lXJsfEfOFmnxxd/TCmKZ0qi2dntK213bBo9uNW0I3Qe0ioHVnjBZGp7J9oQpLbxqutl3G06ab6qUaHtTMzKtIJlmTCbMH5sje4agnQ6m0naUBum0/Ry9McPrvBw9XmobrOHkBdHBEAkrKtr+M/u2jVaB0GOvrjd7tp+pFhGYmCyRGgskepKuC7SdZo6BOiDMah/ZB3LZg4g50GPx5EJMvk+6aRKiH8K2Tej8n3rNo+Vi9RiWtL24npU9TjUoICcmyFaDGYnxuWy1XeZUZjvGHLttbWOntnNahc6bDVf52te+ZuY5vOeee+SWW24x8yZ++tOflmuvvTb+GA0kfvOb35QFCxbEA4nqU5/6lOyzzz7mefp8r9drypled911cvzxx1foE1UPAomATcK8AvZGfDAsgZ+uj5aLsUaSBiMSuPsd8a6aIb79ih8YQBWr5kZdljlFPPNa450REdscf1qSTDMTNNssEyuzKs42MjxlXo/koGZy4GRwIpY1lViyTbOnkjtwrQBN4ofJ8p1l+B61DJ1mkFiP0VFw9oCXzi/jnZmY0dFw7DwpJR0tHs3268vYMWsFxrTjSf9p6TvH+XAyCPeORz+/CRw7l4mzj/a2B5eteYWCv9+SkFG65z9fjgbuxoMJ33/wyR1mtLYuoy5ryihtr2cyWye5HF/ScmjHjndFV3wOJpUycntl5uO5drSZdTujOVtl3QTaMe9U/tRJtg4o+zyM2Uz8ODGDwV4KUQ3+dkPa0oP6XQV1f88SRPQuaC/rcU8zEqOqrKMMdUPnM4z/vqQjr0w4J05lF/MR/G3iOVEHO1jz7FoZLek69s1jdo5I4I63Uo6rWj0gvGXYzKvqdMxpPWy2jC1pi5ZnvvPt1DZGiy8a1CnBrmwCNJSvgrU9dPqjgWTbuUoHNOk27FvjMAApie4zDR9YYsqHarDJZ80Zaqv+oMFr095JLrmbtF0m/O31iG9Fl/NjkwKA+lyrOocOStM2s3ffrmggUStTxMpgJtPy/sE/bIlXk7CyAQNJ7QMTbN0zGj9emMogvug8lVq5wKJlme2sfV7fR7MV9figJZs129nOup42r+3Q1gpp6eHnJtuLVlURk3WyZ9QMYAjE5sTco6VhdV1aAbNmn+OcptbxLTmzxZSSn90qvtUzEtqJ9vVtDe44dHixSJNIw2kL40Foq/pFwwnzogPf8qAlcZ0GVky+cW7tqYTX0M+nQW1tr+lx1pd7C1Xb47pMmpVeKWbO8gyDXnKlA9908J1+P27powk8uNlsS/YBs1oNJPCzt6Xx0n0zZl0Buc6RqO3M4OPbJis+6HE5HCmsRKh9+9U+nqUdOQ/snTKr9HkZdgu9JtZB2KhOfr/fBAT1XzoLFy6UdeucKxBoRqP+Q/4IJAJJ7fZ4IMOUwEkst6Ed8JqFpMIbBswIZp0zw8zVQZnTmmNG9W7X0cvN+U3+HnFXHXztdMhUC14/pxmBryUMbcFBx8WwlWQKvzfZMapZDNoY05He+TDZCFaJqdi8fvGMCM1gCIRNloSWaEwog2SbX0fLU9gDiRH7/Ej299IOJHuWRYagaccZS2SoxTNZCss6HmiHhY4AjsRGzHliF+4VrIDWePHK6LJY60RHmL83IJ5ZzabElck0afdHJy/XzzIeEt9Rs83n0Mdpp4lmmWhnmL0TRgOynraG6LahnVmajbJ5KBq003JbU6RlZg178Nj+ncS2dw0imj+1XKyOVO8bN51T8VHa4YjZT82v7w1IeE6ryTA0I7MdAou+I+fk1GlYbLr9NV60Ivp59XPqx9PvI/75I4mJ8ZGk/T5+boo9z7pff0k4b0VsGfWR9FecItLdHQ3A9vWldmjp/GwJ35ON76g5Enp2Z3Tbsy9bGS8cyoPOHRSu8cLY/u7zmLJ7um9anejpnzRZVi85eybhYbrvRSIS/NUG0xbVsoiaxa/vF9ByoVnouT45SGFKJsf2e/OeJ8yPl05OLtmomeMaKDBzd1lBRK/HzG9lHbOmzZocOKRta31989lsGVwNJy+MluI2CxXLsGFuQpSQfcCazknoPWB6dO7RHGi5zcZLVia+ng6A0u39qlXSPx7bn6xypBevlDeefkwk/ZTMGTWcvSShQo6WQTX7l+16VUu/Nl6wIpphYc3VZ1Xc0DaB7l8tDfHgVcrAuiZfdN+0PuPMlvhntM9d7mn0RY9pug/rW5uglbaDo6fK0Gs90coTsTZ98PHtJvBmMuP0WKMl7GNTChix62k7exDRrMZYOVkrGGjKrNuyB8OxzGKzfJp1HBvoZ7UJc9V40Uozh3pCe8eeaWiJHbt07njzvEu05H3u12Za5l8HgmkWabzM6mX7JgzS0OzUeOWUHMSDy1b7z6yvMfEsyD2j2nzuvWNFCSSaazWd2zff47iVhVRgRqIG5rRtbVXwMGXBtw6JxAKJ1jWNdb1olrPJl/O+PxVWQNp+vR3vW9LvTjPj7VVygAL6hrS0fALreJClRGi2fiPTx/N6oGyBRO1XDWm/j1aTyDRfauxc4z1wesIcxvnQAXQEEoH8EUgEbCKRsC0j0TYiMNa5HX6zb7JTO1amTjvgNTNxqqN94D6BX7wT3wby+n5zmOg5b6Z8Rf5PM1lQ928wF6rpygzq6FptNOqoSO0czLgYi9tNZ4BedIb1Ai35tRxGQidkLSXTUdtjsY5T3c8avWbkmzKjq0eC0XJSyWWo2ibLKiV3uppym07vv193QidFcieqXeOiDvGMZCgnpFzS2Wku1u2BVb14Xt9nSkJpsNcEFXVuG2uOSb1Y1ZHbB0yLBhKHAmZeFV0f3nOXRV9DO6htWZ26/WvHhHYqexd3xEtvFkUeAXLNBFBpZq0021Dwj6kd33amUyuPkdrFpB1xbtp2fO3RgJxnInWuCL1gNGVpk+i+553fJuG5bfl3FBVJU1Ozy0twAtGBMgk0ezo2WMOewZfAafDDmtkpnYzWvqfzdZsSy+2N8Y4ic9u2YXOstjLAHWnH+2CGOeJiWVX27EXz91zd/1ujZaFtmTWajWQfbORNysoy6yNpnZhO3DJ05AJ2Gggy7R49iTTmdyJJ6fDXahCzWsWr2/74RLTUrw7CsvbTKZyn4ufY2G4T3cdTXzA6n7i1byUdd2L7l1asCGog0TZvqHW8SDm+pAlqpOzD7ba2pwb1Bicmy8tNhMzcj+a9D50ZL0EaFwv85cOxXLTVhozNOW0qc7T4JLJz1Fyj2+cC90xrlshIantHj0OmTazHzUUd5jHaBkqeX9IEoma3xq9ntD3p2IRNMyDElPwfCkQH6VmvmdSQ8c5rTdvG1Q5zLb1vzQWp7XbNqNR2r2nbxoJxmn2ad79EuvngC5iXV7NNG2LB1tyfGFtfDustF8Hfb40HnONswRNr27HWi1lOzTI+KTqtQknFgry6DHpdbpYhtuHoPqLfq+O0DEC27SqXwLs1IDoHOoDb9BvZq7CZDTVaCrss2bNW9+vvMx/HrAo70fPfJD0HZKqwAWDqCCQCGTMSJ0ubmp+atQNX0Uw1HdWqpcOyBtR+s1F8h88yF7PawZZ8kWMyTN/uM50AZnSm7epwQsuPfGSfaIeZtsd0DjT7c0NhU+rHd9jMycSiULh4IwzNiOT8I4k6T4YK/m6LNCZlNGh5Sp03zQowpSvN03DKwmjZG83M7Goyf1tlgA4fXCKzB7pEHCrHaLDJXqLR9745KQ08DXBpacmJn6w3jeHQ+r7EZdwyZL63lM9lu+ANPrHdBGjMhb/OMxNfcK/4rYwpaxn2s825mMb06bFRvNkCiS4XenGP6bAw34OtlKcpVeWJdmib+2JzF2pAUUuiGEnX8Xp7PBt702D8d6dyW8WgWSpWGa5i0Sw6LbmFHNeXluvNMHF942kLKzZHYrEzEku1nECyRs0oysA6t5q2you7zbHQmyGzxOynSbc1HGM7Dx45W8K7RiX4YGoHvJk/ULOE0rECk9rBbgskmvP2adH2hPUTqCa+ld3mXzFosG/ahftOvnaGubsrSSs5lHLQq5lbMM19oT+ldupmLO2Z73vPbpkcSDG31fyzjqf268NGzfBM9xqxEvlaKtYqyWoG0em1182xeRj9vpRrKdN+sE3TYN7nvH3imeENx80Tr20OSStwZW/n5vK92EvF6jlBy2KawRszY5VErCzRWDDRXOtqe98eDHBgL/VbNA7ZprmWNs02xUba59ur1ljSXDfr9bm5e8uQqV6SbR1Zj1XJ1//ZBDSYbvUnxarimAo+9sG1WkElg/G3+6JBfFvgHjBVkjRA/ei2aP9T2o03+z6u+0TgJ+ulITbdhw689h0/L/H6SI8tsQEbGV9rNCihN3pTguPBF3aZPrbkLGCt8mZe1+p/sWdZ6uCO+W0J/X46uFz78eKSLuE0w1Cn29GB6XpusOYhN/cdMjNlLkXTj6TTlnQ0Jr5uBqZS1mAgbVlyoNYRSAQSWDXlkqrAWaN9YlmIcA8zWjQQFv+SzBdhJkstEDYjkJXOIydJgUTNNjVzpRw8Mzp/m502ngYCEvzDVueLPg1CxrLA4hcMWpLBYb6OgmhDroBAohmhaiurYhd+aXdCGZ+UkZzW6Nd5raacUkKmQaw8z4xge8rg57jkUaWx0cf6mjqC2zRSj5wdvU/LmQUnvx87exmjOHu5IZ3vJfZe9nJADcfaOlPriHZOaLDPlCXR6qxLOqKlPgcDZl35Vk42evW70M4cbTyb4KDtO/M2eaMByEZvNPNEv4vWhsmMms7GaGadzu+zvNN0FJnGekuDuVhuOHmBhNf1iaez0YygDm8biW5jsZGDOoIwMhyMzWMyXTyPb5emld0yNqfZLLvJegxGohcBOohDOxeCkWip1sUdEtFR9VoOyO81ZU61w8SU223wREuheGNlckdD5jWKmkWJimKOxPoU7Vuo7aCvmaNs85A5npnj49zEuXYLYcpcx2iHtmYNefebZspHacd0+N0B8caCH3r+CL3RY47LetzWzms9fupyacdQvuXLAdQH35GzolOA7BmNVjRY12ey6zS4ZaYW0Paf3xedq3pBW7RdObsl2rYLRaJl9nePRctNtjeIp6VRwnrt0uA1j9dSqV4NmmmZ1iafNPt8Etw1IpFZzeK1tWvtGk5flPP8shqI1HLOZpmSblfBxvTXYNbx0Tu9KTqA0++ND6b0JM8Nb73u/FZzfHVc7g8sMddY2hke3hQNYGn2d/y5fp80HDdfPHNaTDBBg5Wi5fPPWmIy7eLXvS2+7AMoYyU24+Vwi6GQl7JKfRaYkegk3TV4pG+yGo1m6OrcptlY2an5BuOdqg/oYNqGPOY9HvyfDaYfwHvxirzeGzUu1sdjyvlqaft02YK5ZC2OTg5AMK+5aVB8wbmJGfu6j+aw2Wq/jZYajRw0IyFoqAOXvTr9SFIwPvjH7dFBEAfGAo+2/q7krESrQpUun7ZnNQipP3XgXYJOvxn4ruce7cvQY6mZ+sU2KM6qTGANejeVmXIMJGoFL+2bIJCIekUgEUgalRcfeOPxmBNEugnYk+njGj+6XEIv7I6fkHROG83y0ouYxg9ER0FarzfVUaGRsWC09GbsAibTHHjJtFydLqPOqWOW++ylpsPIWr6G9y8W76ypd15ZwluHzahLU25m27B5P4tmm1mBIp2bQUfha/aTThhtSbeurEmkreVW+pnMBetoUAJ3vRMfPRixz8thfw39/B/eJxp4iF1E2b9zpwZbwnNj7xef90MbWbZyJWaZLloxWdKwQKY+/St746VD062T4NM7zKhMzRLQ7D6nwJzFae6zZPqdWdlrdqbz8c3EkmkNJ843o+IsHt2GYg0202FgzefS5DOlg0yZUau00XjIlNLIlY4cjuwcMd+bU6awLre+Rz3SDpfkDJZ0I++9ut/H9v1kejGvje+GY+flNAJXH5fy+rbjSLbvY/o1q83PiZ7htK+XwKEMUC4Zp6h+Pp9PGhpowqL2aFvOF2vPNVgDbab6mrFzb8PZS6PHfPt9SzoSMnaSzx8635jR3ZSY6QgA9mNJa6OpMGJJrWgQa5+lLXnZJpJ0aeNdOoc+WcUAAKs1SURBVHls8n90ecJ97bHslZ5Ym9GJdlrnI1Mn8mB3UNIVn9SBlsnZN1re0wQSk64d48/Rayvr+Jq8HDOaxRtrA3vTPca2bjxWxmN7Ynlqvc4ygzYPm2WmizBz2CYJ/jaWrR4Km+taXSbv7Ja850Mz/QcnRrMt9Rp+YuM6aThjscmGz6nPI8fSppFASAJ3vm1KfpusI6c5gb0ec58GU5Onu0i+xg9pllQOgUT789OVRNXMJh1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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axes = plt.subplots(6, 1, figsize=(14, 18), sharex=True)\n", + "fig.suptitle(\"GPS Log — April 2, 2026 (Time Domain)\", fontsize=14, fontweight=\"bold\", y=1.01)\n", + "\n", + "# Use local time for readability\n", + "time = df.index.tz_convert(\"America/Vancouver\")\n", + "\n", + "def plot(ax, y, label, color, unit=None, hline=None):\n", + " ax.plot(time, df[y], lw=0.6, alpha=0.8, color=color)\n", + " ax.set_ylabel(f\"{label}\\n({unit})\" if unit else label, fontsize=9)\n", + " if hline is not None:\n", + " ax.axhline(hline, color=\"red\", lw=0.8, ls=\"--\", alpha=0.6)\n", + " ax.yaxis.set_label_position(\"left\")\n", + "\n", + "# Lat / Lon\n", + "axes[0].plot(time, df[\"lat\"], lw=0.6, color=\"#4C72B0\", label=\"lat\")\n", + "axes[0].set_ylabel(\"Latitude (°)\", fontsize=9)\n", + "ax0r = axes[0].twinx()\n", + "ax0r.plot(time, df[\"lon\"], lw=0.6, color=\"#DD8452\", alpha=0.7, label=\"lon\")\n", + "ax0r.set_ylabel(\"Longitude (°)\", fontsize=9, color=\"#DD8452\")\n", + "axes[0].legend(loc=\"upper left\", fontsize=8)\n", + "ax0r.legend(loc=\"upper right\", fontsize=8)\n", + "\n", + "# Accuracy — log scale helps show the bimodal distribution\n", + "axes[1].plot(time, df[\"accuracy\"], lw=0.6, color=\"#c44e52\", alpha=0.85)\n", + "axes[1].set_ylabel(\"Accuracy (m)\", fontsize=9)\n", + "axes[1].set_yscale(\"log\")\n", + "axes[1].axhline(10, color=\"red\", lw=0.8, ls=\"--\", alpha=0.6, label=\"10 m threshold\")\n", + "axes[1].legend(fontsize=8)\n", + "\n", + "# Speed\n", + "plot(axes[2], \"speed_kmh\", \"Speed\", \"#2ca02c\", unit=\"km/h\")\n", + "\n", + "# Elevation\n", + "plot(axes[3], \"elevation\", \"Elevation\", \"#9467bd\", unit=\"m\")\n", + "\n", + "# Satellites + HDOP on twin axes\n", + "axes[4].plot(time, df[\"satellites\"], lw=0.6, color=\"#8c8c8c\", label=\"satellites\")\n", + "axes[4].set_ylabel(\"Satellites\", fontsize=9)\n", + "ax4r = axes[4].twinx()\n", + "ax4r.plot(time, df[\"hdop\"], lw=0.6, color=\"#e377c2\", alpha=0.8, label=\"HDOP\")\n", + "ax4r.set_ylabel(\"HDOP\", fontsize=9, color=\"#e377c2\")\n", + "ax4r.axhline(2.0, color=\"#e377c2\", lw=0.8, ls=\"--\", alpha=0.5, label=\"HDOP=2\")\n", + "axes[4].legend(loc=\"upper left\", fontsize=8)\n", + "ax4r.legend(loc=\"upper right\", fontsize=8)\n", + "\n", + "# Battery\n", + "plot(axes[5], \"battery\", \"Battery\", \"#bcbd22\", unit=\"%\")\n", + "\n", + "# X axis formatting\n", + "axes[5].xaxis.set_major_formatter(mdates.DateFormatter(\"%H:%M\", tz=\"America/Vancouver\"))\n", + "axes[5].xaxis.set_major_locator(mdates.MinuteLocator(byminute=range(0, 60, 30)))\n", + "plt.setp(axes[5].xaxis.get_majorticklabels(), rotation=45, ha=\"right\")\n", + "axes[5].set_xlabel(\"Local Time (PDT)\", fontsize=9)\n", + "\n", + "# Provider shading — shade network fixes red\n", + "network_mask = df[\"provider\"] == \"network\"\n", + "for ax in axes:\n", + " for idx in df.index[network_mask]:\n", + " t = idx.tz_convert(\"America/Vancouver\")\n", + " ax.axvspan(t, t + pd.Timedelta(seconds=1), color=\"red\", alpha=0.08, lw=0)\n", + "\n", + "fig.tight_layout()\n", + "plt.savefig(\"time_domain.png\", dpi=150, bbox_inches=\"tight\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "02c26af1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "All data: 12,977 rows\n", + "GPS-only: 12,311 rows (94.9%)\n", + "Dropped: 666 network fixes\n" + ] + } + ], + "source": [ + "# GPS-only clean dataset -- your main working data going forward\n", + "df_gps = df[df[\"provider\"] == \"gps\"].copy()\n", + "\n", + "# Rolling window smoother -- 60s window, median is robust to spiky outliers\n", + "W = 60 # seconds; tweak if still too noisy or too smoothed\n", + "\n", + "def roll(series, window=W):\n", + " return series.rolling(window, center=True, min_periods=window//2).median()\n", + "\n", + "fig, axes = plt.subplots(6, 1, figsize=(14, 18), sharex=True)\n", + "fig.suptitle(\"GPS Log — April 2, 2026 (60s rolling median, GPS fixes only)\", \n", + " fontsize=14, fontweight=\"bold\", y=1.01)\n", + "\n", + "time_gps = df_gps.index.tz_convert(\"America/Vancouver\")\n", + "\n", + "# Lat / Lon\n", + "axes[0].plot(time_gps, roll(df_gps[\"lat\"]), lw=1.2, color=\"#4C72B0\", label=\"lat\")\n", + "axes[0].set_ylabel(\"Latitude (°)\", fontsize=9)\n", + "ax0r = axes[0].twinx()\n", + "ax0r.plot(time_gps, roll(df_gps[\"lon\"]), lw=1.2, color=\"#DD8452\", label=\"lon\")\n", + "ax0r.set_ylabel(\"Longitude (°)\", fontsize=9, color=\"#DD8452\")\n", + "axes[0].legend(loc=\"upper left\", fontsize=8)\n", + "ax0r.legend(loc=\"upper right\", fontsize=8)\n", + "\n", + "# Accuracy\n", + "axes[1].plot(time_gps, roll(df_gps[\"accuracy\"]), lw=1.2, color=\"#c44e52\")\n", + "axes[1].set_ylabel(\"Accuracy (m)\", fontsize=9)\n", + "axes[1].axhline(10, color=\"red\", lw=0.8, ls=\"--\", alpha=0.6, label=\"10 m\")\n", + "axes[1].legend(fontsize=8)\n", + "\n", + "# Speed\n", + "axes[2].plot(time_gps, roll(df_gps[\"speed_kmh\"]), lw=1.2, color=\"#2ca02c\")\n", + "axes[2].set_ylabel(\"Speed (km/h)\", fontsize=9)\n", + "\n", + "# Elevation\n", + "axes[3].plot(time_gps, roll(df_gps[\"elevation\"]), lw=1.2, color=\"#9467bd\")\n", + "axes[3].set_ylabel(\"Elevation (m)\", fontsize=9)\n", + "\n", + "# Satellites + HDOP\n", + "axes[4].plot(time_gps, roll(df_gps[\"satellites\"]), lw=1.2, color=\"#8c8c8c\", label=\"satellites\")\n", + "axes[4].set_ylabel(\"Satellites\", fontsize=9)\n", + "ax4r = axes[4].twinx()\n", + "ax4r.plot(time_gps, roll(df_gps[\"hdop\"]), lw=1.2, color=\"#e377c2\", label=\"HDOP\")\n", + "ax4r.set_ylabel(\"HDOP\", fontsize=9, color=\"#e377c2\")\n", + "axes[4].legend(loc=\"upper left\", fontsize=8)\n", + "ax4r.legend(loc=\"upper right\", fontsize=8)\n", + "\n", + "# Battery\n", + "axes[5].plot(time_gps, df_gps[\"battery\"], lw=1.2, color=\"#bcbd22\") # no smoothing, it's already slow-changing\n", + "axes[5].set_ylabel(\"Battery (%)\", fontsize=9)\n", + "\n", + "# X axis\n", + "axes[5].xaxis.set_major_formatter(mdates.DateFormatter(\"%H:%M\", tz=\"America/Vancouver\"))\n", + "axes[5].xaxis.set_major_locator(mdates.MinuteLocator(byminute=range(0, 60, 30)))\n", + "plt.setp(axes[5].xaxis.get_majorticklabels(), rotation=45, ha=\"right\")\n", + "axes[5].set_xlabel(\"Local Time (PDT)\", fontsize=9)\n", + "\n", + "fig.tight_layout()\n", + "plt.savefig(\"time_domain_clean.png\", dpi=150, bbox_inches=\"tight\")\n", + "plt.show()\n", + "\n", + "print(f\"All data: {len(df):,} rows\")\n", + "print(f\"GPS-only: {len(df_gps):,} rows ({len(df_gps)/len(df)*100:.1f}%)\")\n", + "print(f\"Dropped: {len(df) - len(df_gps):,} network fixes\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "7cc369c5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Segment Start (PDT) End (PDT) Rows Duration\n", + "---------------------------------------------------------------------------\n", + "Setup & Prep 08:02:00 09:39:00 2954\n", + "First Driving + Faults 09:39:00 10:00:00 531\n", + "Stationary Debugging 10:00:00 10:57:00 592\n", + "Charging Run 10:57:00 11:25:00 1041\n", + "FW Flash + Wait 11:25:00 12:46:00 2315\n", + "Michael Driving 12:46:00 13:15:00 1085\n", + "Coast Down Tests 13:15:00 14:05:00 1330\n", + "Multi-Driver Lapping 14:05:00 16:08:00 1343\n", + "\n", + "Unassigned rows: 1120\n" + ] + } + ], + "source": [ + "import pytz\n", + "\n", + "pdt = pytz.timezone(\"America/Vancouver\")\n", + "\n", + "def pdt_to_utc(date_str, time_str):\n", + " \"\"\"Parse a PDT datetime string and return UTC Timestamp.\"\"\"\n", + " dt = pd.Timestamp(f\"{date_str} {time_str}\").tz_localize(pdt)\n", + " return dt.tz_convert(\"UTC\")\n", + "\n", + "# Segment definitions: (name, start_PDT, end_PDT)\n", + "# Where timestamps were missing, we use the surrounding ones with a buffer\n", + "segments = [\n", + " (\"Setup & Prep\", \"08:02:00\", \"09:39:00\"),\n", + " (\"First Driving + Faults\",\"09:39:00\", \"10:00:00\"),\n", + " (\"Stationary Debugging\", \"10:00:00\", \"10:57:00\"),\n", + " (\"Charging Run\", \"10:57:00\", \"11:25:00\"),\n", + " (\"FW Flash + Wait\", \"11:25:00\", \"12:46:00\"),\n", + " (\"Michael Driving\", \"12:46:00\", \"13:15:00\"), # 12:48 small lap done, 12:53 larger loop, coast down setup ~13:05 -- buffer to 13:15\n", + " (\"Coast Down Tests\", \"13:15:00\", \"14:05:00\"), # 13:15 lineup, 13:26:44 long coast down, second run, buffer to 14:05\n", + " (\"Multi-Driver Lapping\", \"14:05:00\", \"16:08:00\"), # Aum ~14:05 through Luke done ~16:08\n", + "]\n", + "\n", + "date = \"2026-04-02\"\n", + "\n", + "def label_segment(row_time):\n", + " for name, start, end in segments:\n", + " s = pdt_to_utc(date, start)\n", + " e = pdt_to_utc(date, end)\n", + " if s <= row_time < e:\n", + " return name\n", + " return \"Unassigned\"\n", + "\n", + "df_gps[\"segment\"] = df_gps.index.map(label_segment)\n", + "\n", + "# Summary\n", + "print(f\"{'Segment':<25} {'Start (PDT)':<12} {'End (PDT)':<12} {'Rows':>6} {'Duration'}\")\n", + "print(\"-\" * 75)\n", + "for name, start, end in segments:\n", + " mask = df_gps[\"segment\"] == name\n", + " n = mask.sum()\n", + " print(f\"{name:<25} {start:<12} {end:<12} {n:>6}\")\n", + "\n", + "unassigned = (df_gps[\"segment\"] == \"Unassigned\").sum()\n", + "print(f\"\\nUnassigned rows: {unassigned}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "98ee9660", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Saved: ..\\results\\maps\\first_driving_and_faults.html (683 pts)\n", + "Saved: ..\\results\\maps\\michael_driving.html (359 pts)\n", + "Saved: ..\\results\\maps\\coast_down_tests.html (1885 pts)\n", + " Warning: no plottable points for 'Katrina', skipping\n", + " Warning: no plottable points for 'Jay', skipping\n", + " Warning: no plottable points for 'Museok', skipping\n", + " Warning: no plottable points for 'Mueez', skipping\n", + "Saved: multi_driver_lapping.html (3203 pts)\n", + "Saved: full_day.html (12311 pts)\n" + ] + } + ], + "source": [ + "import folium\n", + "import branca.colormap as cm\n", + "from branca.element import Template, MacroElement\n", + "\n", + "# ── Driver segments ──────────────────────────────────────────────────────────\n", + "date = \"2026-04-02\"\n", + "\n", + "driving_segments = {\n", + " \"First Driving + Faults\": (\"09:39:00\", \"10:00:00\"),\n", + " \"Michael Driving\": (\"12:46:00\", \"13:15:00\"),\n", + " \"Coast Down Tests\": (\"13:15:00\", \"14:05:00\"),\n", + "}\n", + "\n", + "driver_lapping = {\n", + " \"Aum\": (\"14:05:00\", \"14:21:00\"),\n", + " \"Jonah\": (\"14:21:00\", \"14:47:00\"),\n", + " \"Deev\": (\"14:47:00\", \"14:57:00\"),\n", + " \"Robin\": (\"14:57:00\", \"15:07:00\"),\n", + " \"Katrina\": (\"15:07:00\", \"15:12:00\"),\n", + " \"Jay\": (\"15:12:00\", \"15:23:00\"),\n", + " \"Museok\": (\"15:23:00\", \"15:37:00\"),\n", + " \"Mueez\": (\"15:37:00\", \"15:41:00\"),\n", + " \"Chris K\": (\"15:41:00\", \"15:50:00\"),\n", + " \"Krish\": (\"15:50:00\", \"16:00:00\"),\n", + " \"Hemat\": (\"16:00:00\", \"16:04:00\"),\n", + " \"Luke\": (\"16:04:00\", \"16:08:00\"),\n", + "}\n", + "\n", + "def pdt_to_utc(time_str):\n", + " return pd.Timestamp(f\"{date} {time_str}\").tz_localize(\"America/Vancouver\").tz_convert(\"UTC\")\n", + "\n", + "def get_slice(start_str, end_str):\n", + " return df_gps.loc[pdt_to_utc(start_str):pdt_to_utc(end_str)]\n", + "\n", + "# ── Shared speed colormap ────────────────────────────────────────────────────\n", + "all_driving = pd.concat(\n", + " [get_slice(s, e) for s, e in driving_segments.values()] +\n", + " [get_slice(s, e) for s, e in driver_lapping.values()]\n", + ")\n", + "vmin, vmax = 0, all_driving[\"speed_kmh\"].quantile(0.98)\n", + "colormap = cm.LinearColormap(\n", + " [\"#2b83ba\", \"#abdda4\", \"#ffffbf\", \"#fdae61\", \"#d7191c\"],\n", + " vmin=vmin, vmax=vmax,\n", + " caption=\"Speed (km/h)\"\n", + ")\n", + "\n", + "vmin_day, vmax_day = 0, df_gps[\"speed_kmh\"].quantile(0.98)\n", + "colormap_day = cm.LinearColormap(\n", + " [\"#2b83ba\", \"#abdda4\", \"#ffffbf\", \"#fdae61\", \"#d7191c\"],\n", + " vmin=vmin_day, vmax=vmax_day,\n", + " caption=\"Speed (km/h)\"\n", + ")\n", + "\n", + "# ── Corner label macro (for non-lapping maps) ────────────────────────────────\n", + "def make_title_macro(title):\n", + " template = f\"\"\"\n", + " {{% macro html(this, kwargs) %}}\n", + "
\n", + " {title}\n", + "
\n", + " {{% endmacro %}}\n", + " \"\"\"\n", + " macro = MacroElement()\n", + " macro._template = Template(template)\n", + " return macro\n", + "\n", + "# ── Helper: draw track with per-segment hover tooltips ───────────────────────\n", + "def add_track(fmap, df_slice, cmap, label=None):\n", + " if df_slice.empty:\n", + " return\n", + " df_plot = df_slice.iloc[::2].dropna(subset=[\"lat\", \"lon\", \"speed_kmh\"])\n", + " if df_plot.empty:\n", + " print(f\" Warning: no plottable points for '{label}', skipping\")\n", + " return\n", + " for i in range(len(df_plot) - 1):\n", + " row = df_plot.iloc[i]\n", + " next_row = df_plot.iloc[i + 1]\n", + " tooltip = f\"{label} — {row['speed_kmh']:.1f} km/h\" if label else f\"{row['speed_kmh']:.1f} km/h\"\n", + " folium.PolyLine(\n", + " locations=[[row[\"lat\"], row[\"lon\"]], [next_row[\"lat\"], next_row[\"lon\"]]],\n", + " color=cmap(row[\"speed_kmh\"]),\n", + " weight=4,\n", + " opacity=0.85,\n", + " tooltip=tooltip,\n", + " ).add_to(fmap)\n", + "\n", + "def make_map(df_slice):\n", + " center = [df_slice[\"lat\"].mean(), df_slice[\"lon\"].mean()]\n", + " m = folium.Map(\n", + " location=center,\n", + " zoom_start=17,\n", + " max_zoom=22,\n", + " tiles=None, # we add the tile layer manually below for max_zoom support\n", + " )\n", + " folium.TileLayer(\n", + " tiles=\"https://mt1.google.com/vt/lyrs=s&x={x}&y={y}&z={z}\",\n", + " attr=\"Google Satellite\",\n", + " name=\"Google Satellite\",\n", + " max_zoom=22,\n", + " max_native_zoom=21,\n", + " ).add_to(m)\n", + " return m\n", + "\n", + "output_dir = Path(\"../results/maps\")\n", + "output_dir.mkdir(parents=True, exist_ok=True)\n", + "\n", + "# ── Per-session maps ─────────────────────────────────────────────────────────\n", + "for name, (start, end) in driving_segments.items():\n", + " df_slice = get_slice(start, end)\n", + " m = make_map(df_slice)\n", + " add_track(m, df_slice, colormap, label=name)\n", + " m.add_child(make_title_macro(name))\n", + " colormap.add_to(m)\n", + " fname = output_dir / f\"{name.lower().replace(' ', '_').replace('+', 'and')}.html\"\n", + " m.save(fname)\n", + " print(f\"Saved: {fname} ({len(df_slice)} pts)\")\n", + "\n", + "# ── Multi-driver lapping map ─────────────────────────────────────────────────\n", + "all_lapping = pd.concat([get_slice(s, e) for s, e in driver_lapping.values()])\n", + "m_lap = make_map(all_lapping)\n", + "for driver, (start, end) in driver_lapping.items():\n", + " add_track(m_lap, get_slice(start, end), colormap, label=driver)\n", + "m_lap.add_child(make_title_macro(\"Multi-Driver Lapping\"))\n", + "colormap.add_to(m_lap)\n", + "m_lap.save(output_dir / \"multi_driver_lapping.html\")\n", + "print(f\"Saved: multi_driver_lapping.html ({len(all_lapping)} pts)\")\n", + "\n", + "# ── Full day map ─────────────────────────────────────────────────────────────\n", + "m_day = make_map(df_gps)\n", + "add_track(m_day, df_gps, colormap_day)\n", + "m_day.add_child(make_title_macro(\"Full Day\"))\n", + "colormap_day.add_to(m_day)\n", + "m_day.save(output_dir / \"full_day.html\")\n", + "print(f\"Saved: full_day.html ({len(df_gps)} pts)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3431364a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/v4/phone_gpslogger/data/test_walk/20260331_note10pro.csv b/v4/phone_gpslogger/data/test_walk/20260331_note10pro.csv new file mode 100644 index 0000000..28c4bc2 --- /dev/null +++ b/v4/phone_gpslogger/data/test_walk/20260331_note10pro.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a45550fae0441a2ee5179666bc253300a40ecee36352fde4c04c94dec32aed4 +size 37239 diff --git a/v4/phone_gpslogger/data/test_walk/20260331_pixel7.csv b/v4/phone_gpslogger/data/test_walk/20260331_pixel7.csv new file mode 100644 index 0000000..8a6736b --- /dev/null +++ b/v4/phone_gpslogger/data/test_walk/20260331_pixel7.csv @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e1d81d0b5e524e26806eaba58930020f73d48edbaca04d90dd14c4d62cf249b +size 53283 diff --git a/v4/phone_gpslogger/pyproject.toml b/v4/phone_gpslogger/pyproject.toml new file mode 100644 index 0000000..2dd6d84 --- /dev/null +++ b/v4/phone_gpslogger/pyproject.toml @@ -0,0 +1,15 @@ +[project] +name = "phone-gpslogger" +version = "0.1.0" +requires-python = ">=3.13" +dependencies = [ + "contextily>=1.7.0", + "folium>=0.20.0", + "geopandas>=1.1.3", + "matplotlib>=3.10.8", + "numpy>=2.4.4", + "pandas>=3.0.2", + "plotly>=6.6.0", + "seaborn>=0.13.2", + "shapely>=2.1.2", +] diff --git a/v4/phone_gpslogger/results/Note_10_Pro_analysis.png b/v4/phone_gpslogger/results/Note_10_Pro_analysis.png new file mode 100644 index 0000000..80377c4 Binary files /dev/null and b/v4/phone_gpslogger/results/Note_10_Pro_analysis.png differ diff --git a/v4/phone_gpslogger/results/Pixel_7_analysis.png b/v4/phone_gpslogger/results/Pixel_7_analysis.png new file mode 100644 index 0000000..3984c03 Binary files /dev/null and b/v4/phone_gpslogger/results/Pixel_7_analysis.png differ diff --git a/v4/phone_gpslogger/results/Pixel_7_vs_Note_10_Pro_comparison.png b/v4/phone_gpslogger/results/Pixel_7_vs_Note_10_Pro_comparison.png new file mode 100644 index 0000000..4a29485 Binary files /dev/null and b/v4/phone_gpslogger/results/Pixel_7_vs_Note_10_Pro_comparison.png differ diff --git a/v4/phone_gpslogger/results/maps/coast_down_tests.html b/v4/phone_gpslogger/results/maps/coast_down_tests.html new file mode 100644 index 0000000..d60cf52 --- /dev/null +++ b/v4/phone_gpslogger/results/maps/coast_down_tests.html @@ -0,0 +1,15234 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ Coast Down Tests +
+ + + + \ No newline at end of file diff --git a/v4/phone_gpslogger/results/maps/first_driving_and_faults.html b/v4/phone_gpslogger/results/maps/first_driving_and_faults.html new file mode 100644 index 0000000..0ee0724 --- /dev/null +++ b/v4/phone_gpslogger/results/maps/first_driving_and_faults.html @@ -0,0 +1,5618 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ First Driving + Faults +
+ + + + \ No newline at end of file diff --git a/v4/phone_gpslogger/results/maps/full_day.html b/v4/phone_gpslogger/results/maps/full_day.html new file mode 100644 index 0000000..3bd0e13 --- /dev/null +++ b/v4/phone_gpslogger/results/maps/full_day.html @@ -0,0 +1,93266 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ Full Day +
+ + + + \ No newline at end of file diff --git a/v4/phone_gpslogger/results/maps/michael_driving.html b/v4/phone_gpslogger/results/maps/michael_driving.html new file mode 100644 index 0000000..be89809 --- /dev/null +++ b/v4/phone_gpslogger/results/maps/michael_driving.html @@ -0,0 +1,2402 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ Michael Driving +
+ + + + \ No newline at end of file diff --git a/v4/phone_gpslogger/results/maps/multi_driver_lapping.html b/v4/phone_gpslogger/results/maps/multi_driver_lapping.html new file mode 100644 index 0000000..0fc6adb --- /dev/null +++ b/v4/phone_gpslogger/results/maps/multi_driver_lapping.html @@ -0,0 +1,24578 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ Multi-Driver Lapping +
+ + + + \ No newline at end of file diff --git a/v4/phone_gpslogger/results/time_domain.png b/v4/phone_gpslogger/results/time_domain.png new file mode 100644 index 0000000..1f8be7f Binary files /dev/null and b/v4/phone_gpslogger/results/time_domain.png differ diff --git a/v4/phone_gpslogger/results/time_domain_clean.png b/v4/phone_gpslogger/results/time_domain_clean.png new file mode 100644 index 0000000..4db1e64 Binary files /dev/null and b/v4/phone_gpslogger/results/time_domain_clean.png differ diff --git a/v4/phone_gpslogger/scripts/gps_test_vibecoded.py b/v4/phone_gpslogger/scripts/gps_test_vibecoded.py new file mode 100644 index 0000000..b44af5c --- /dev/null +++ b/v4/phone_gpslogger/scripts/gps_test_vibecoded.py @@ -0,0 +1,522 @@ +#!/usr/bin/env python3 +""" + +Disclaimer: This file was written by Claude Sonnet 4.6 + +To run: +cd v4/phone_gpslogger +uv sync +uv run python python scripts/gps_analyzer.py data/20260331_pixel7.csv data/20260331_note10pro.csv --labels "Pixel 7" "Note 10 Pro" +-Jonah + + +GPS Logger Analyzer & Device Comparator +Analyzes and plots GPS data from the FDroid GPSLogger app. + +Single-file mode: python gps_analyzer.py track.csv +Multi-file compare: python gps_analyzer.py pixel7.csv note10pro.csv --labels "Pixel 7" "Note 10 Pro" +Skip individual: python gps_analyzer.py *.csv --no-individual +""" + +import sys +import argparse +from pathlib import Path + +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +import matplotlib.gridspec as gridspec +import matplotlib.patches as mpatches +from matplotlib.collections import LineCollection +from matplotlib.colors import Normalize + + +# ── Palette ──────────────────────────────────────────────────────────────── +DARK = "#0f1117" +MID = "#1c1f2b" +PANEL = "#232637" +TEXT = "#e8eaf6" +MUTED = "#6c7a9c" +GREEN = "#39d353" +WARM = "#ff6b35" + +# Per-device (gps_colour, network_colour) +DEVICE_PALETTES = [ + ("#00c8ff", "#ff6b35"), # device 0: cyan GPS, orange network + ("#b48eff", "#39d353"), # device 1: purple GPS, green network + ("#f5c542", "#ff4fa3"), # device 2: yellow GPS, pink network + ("#4fe3c1", "#ff7043"), # device 3+ +] + + +# ── Data loading ─────────────────────────────────────────────────────────── + +def haversine(lat1, lon1, lat2, lon2): + R = 6_371_000 + phi1, phi2 = np.radians(lat1), np.radians(lat2) + dphi = np.radians(lat2 - lat1) + dlam = np.radians(lon2 - lon1) + a = np.sin(dphi/2)**2 + np.cos(phi1)*np.cos(phi2)*np.sin(dlam/2)**2 + return 2 * R * np.arcsin(np.sqrt(a)) + + +def load_csv(path: Path) -> pd.DataFrame: + """Load a GPSLogger CSV and enrich with derived columns.""" + df = pd.read_csv(path, parse_dates=["time"]) + df = df.dropna(subset=["lat", "lon"]).sort_values("time").reset_index(drop=True) + + # Normalise provider + if "provider" in df.columns: + df["provider"] = df["provider"].fillna("unknown").str.lower().str.strip() + else: + df["provider"] = "unknown" + + # Speed: logged m/s -> km/h; network rows often have no speed logged + if "speed" in df.columns: + df["speed_kmh"] = pd.to_numeric(df["speed"], errors="coerce").fillna(0) * 3.6 + else: + dt = df["time"].diff().dt.total_seconds().fillna(1).clip(lower=0.001) + dist = haversine(df["lat"].shift().fillna(df["lat"]), + df["lon"].shift().fillna(df["lon"]), + df["lat"], df["lon"]).fillna(0) + df["speed_kmh"] = (dist / dt) * 3.6 + + # Elapsed minutes from first fix + df["elapsed_min"] = (df["time"] - df["time"].iloc[0]).dt.total_seconds() / 60 + + # Cumulative distance recomputed from coordinates (monotone, comparable) + seg = haversine(df["lat"].shift().fillna(df["lat"]), + df["lon"].shift().fillna(df["lon"]), + df["lat"], df["lon"]).fillna(0) + df["cum_dist_km"] = seg.cumsum() / 1000 + + for col in ("satellites", "accuracy", "hdop", "vdop", "pdop"): + if col in df.columns: + df[col] = pd.to_numeric(df[col], errors="coerce") + + return df + + +def compute_stats(df: pd.DataFrame, label: str) -> dict: + duration_s = (df["time"].iloc[-1] - df["time"].iloc[0]).total_seconds() + elev = df["elevation"].dropna() if "elevation" in df.columns else pd.Series(dtype=float) + gain = float(np.sum(np.clip(np.diff(elev.values), 0, None))) if len(elev) > 1 else float("nan") + loss = float(np.sum(np.clip(np.diff(elev.values), None, 0))) if len(elev) > 1 else float("nan") + + gps = df[df["provider"] == "gps"] + net = df[df["provider"] == "network"] + + return { + "label": label, + "start": df["time"].iloc[0].strftime("%H:%M:%S UTC"), + "duration": f"{int(duration_s//3600):02d}h {int((duration_s%3600)//60):02d}m {int(duration_s%60):02d}s", + "points": len(df), + "gps_points": len(gps), + "net_points": len(net), + "distance_km": df["cum_dist_km"].iloc[-1], + "avg_speed": gps["speed_kmh"].mean() if len(gps) else df["speed_kmh"].mean(), + "max_speed": df["speed_kmh"].max(), + "elev_min": float(elev.min()) if len(elev) else float("nan"), + "elev_max": float(elev.max()) if len(elev) else float("nan"), + "elev_gain_m": gain, + "elev_loss_m": abs(loss) if not np.isnan(loss) else float("nan"), + "avg_acc_gps": gps["accuracy"].mean() if ("accuracy" in df.columns and len(gps)) else float("nan"), + "avg_acc_net": net["accuracy"].mean() if ("accuracy" in df.columns and len(net)) else float("nan"), + "avg_sats": gps["satellites"].mean() if ("satellites" in df.columns and len(gps)) else float("nan"), + "avg_hdop": gps["hdop"].mean() if ("hdop" in df.columns and len(gps)) else float("nan"), + } + + +# ── Shared helpers ───────────────────────────────────────────────────────── + +def fv(v, fmt): + """Format a float value, returning 'n/a' if NaN.""" + return "n/a" if (isinstance(v, float) and np.isnan(v)) else fmt.format(v) + + +def style_ax(ax, title="", xlabel="", ylabel=""): + ax.set_facecolor(PANEL) + ax.tick_params(colors=MUTED, labelsize=8) + for sp in ax.spines.values(): + sp.set_edgecolor(MID) + ax.grid(color=MID, linewidth=0.5, linestyle="--", alpha=0.6) + if title: + ax.set_title(title, color=TEXT, fontsize=9, fontweight="bold", pad=5) + if xlabel: + ax.set_xlabel(xlabel, color=MUTED, fontsize=8) + if ylabel: + ax.set_ylabel(ylabel, color=MUTED, fontsize=8) + + +def colorbar_style(cb): + cb.ax.yaxis.set_tick_params(color=MUTED, labelsize=7) + plt.setp(cb.ax.yaxis.get_ticklabels(), color=MUTED) + cb.outline.set_edgecolor(MID) + + +# ── Single-device figure ─────────────────────────────────────────────────── + +def make_single_figure(df: pd.DataFrame, s: dict, palette_idx: int = 0): + gps_col, net_col = DEVICE_PALETTES[palette_idx % len(DEVICE_PALETTES)] + label = s["label"] + gps = df[df["provider"] == "gps"] + net = df[df["provider"] == "network"] + + fig = plt.figure(figsize=(16, 11), facecolor=DARK) + fig.suptitle(f"GPS Track — {label}", color=TEXT, fontsize=14, + fontweight="bold", y=0.97) + + gs = gridspec.GridSpec(3, 3, figure=fig, + left=0.06, right=0.97, top=0.92, bottom=0.07, + hspace=0.50, wspace=0.42) + ax_map = fig.add_subplot(gs[:2, :2]) + ax_elev = fig.add_subplot(gs[2, :2]) + ax_speed = fig.add_subplot(gs[0, 2]) + ax_acc = fig.add_subplot(gs[1, 2]) + ax_stats = fig.add_subplot(gs[2, 2]) + + # ── Map ──────────────────────────────────────────────────────────────── + ax_map.set_facecolor(PANEL) + style_ax(ax_map, "Track Map (GPS = speed-coloured · Network = ◆)", + "Longitude", "Latitude") + + lats = df["lat"].values + lons = df["lon"].values + + if len(gps) >= 2: + spd = gps["speed_kmh"].values + pts = np.array([gps["lon"].values, gps["lat"].values]).T.reshape(-1, 1, 2) + segs = np.concatenate([pts[:-1], pts[1:]], axis=1) + vmax = max(df["speed_kmh"].max(), 1) + norm = Normalize(vmin=0, vmax=vmax) + lc = LineCollection(segs, cmap="plasma", norm=norm, linewidth=2, alpha=0.9) + lc.set_array(spd[:-1]) + ax_map.add_collection(lc) + cb = fig.colorbar(lc, ax=ax_map, pad=0.01, shrink=0.75) + cb.set_label("Speed km/h (GPS)", color=MUTED, fontsize=8) + colorbar_style(cb) + elif len(gps) == 1: + ax_map.scatter(gps["lon"], gps["lat"], s=40, color=gps_col, zorder=5) + + if not net.empty: + ax_map.scatter(net["lon"], net["lat"], s=30, color=net_col, + marker="D", zorder=5, label="Network", alpha=0.85) + + ax_map.scatter([lons[0]], [lats[0]], s=100, color=GREEN, marker="o", zorder=7, label="Start") + ax_map.scatter([lons[-1]], [lats[-1]], s=100, color=WARM, marker="s", zorder=7, label="End") + ax_map.legend(fontsize=8, facecolor=MID, edgecolor=MID, labelcolor=TEXT, loc="upper left") + + pad_lat = max((lats.max()-lats.min())*0.12, 0.001) + pad_lon = max((lons.max()-lons.min())*0.12, 0.001) + ax_map.set_xlim(lons.min()-pad_lon, lons.max()+pad_lon) + ax_map.set_ylim(lats.min()-pad_lat, lats.max()+pad_lat) + + # ── Elevation ────────────────────────────────────────────────────────── + style_ax(ax_elev, "Elevation Profile", "Distance (km)", "Elevation (m)") + if "elevation" in df.columns and df["elevation"].notna().any(): + elev = df["elevation"].interpolate() + x = df["cum_dist_km"].values + ax_elev.fill_between(x, elev, elev.min()-5, color=gps_col, alpha=0.18) + ax_elev.plot(x, elev, color=gps_col, linewidth=1.5) + if not net.empty: + for _, row in net.iterrows(): + ax_elev.axvline(row["cum_dist_km"], color=net_col, + linewidth=0.6, alpha=0.35) + else: + ax_elev.text(0.5, 0.5, "No elevation data", transform=ax_elev.transAxes, + ha="center", va="center", color=MUTED) + + # ── Speed ────────────────────────────────────────────────────────────── + style_ax(ax_speed, "Speed over Time", "Elapsed (min)", "Speed (km/h)") + if not gps.empty: + ax_speed.plot(gps["elapsed_min"], gps["speed_kmh"], + color=gps_col, linewidth=1.3, label="GPS", alpha=0.9) + ax_speed.fill_between(gps["elapsed_min"], gps["speed_kmh"], + color=gps_col, alpha=0.14) + if not net.empty: + ax_speed.scatter(net["elapsed_min"], net["speed_kmh"], + color=net_col, s=18, label="Network", zorder=5) + ax_speed.legend(fontsize=7, facecolor=MID, edgecolor=MID, labelcolor=TEXT) + + # ── Accuracy / Satellites ────────────────────────────────────────────── + style_ax(ax_acc, "GPS Quality", "Elapsed (min)", "Accuracy (m)") + if "accuracy" in df.columns: + if not gps.empty: + ax_acc.plot(gps["elapsed_min"], gps["accuracy"], + color=gps_col, linewidth=1.1, label="Acc GPS") + if not net.empty: + ax_acc.scatter(net["elapsed_min"], net["accuracy"], + color=net_col, s=18, label="Acc Net", zorder=5) + h2, l2 = [], [] + if "satellites" in df.columns and not gps.empty: + ax2 = ax_acc.twinx() + ax2.plot(gps["elapsed_min"], gps["satellites"], + color=GREEN, linewidth=1.0, linestyle="--", label="Sats") + ax2.set_ylabel("Satellites", color=GREEN, fontsize=8) + ax2.tick_params(axis="y", colors=GREEN, labelsize=7) + ax2.set_facecolor("none") + for sp in ax2.spines.values(): + sp.set_edgecolor(MID) + h2, l2 = ax2.get_legend_handles_labels() + h1, l1 = ax_acc.get_legend_handles_labels() + ax_acc.legend(h1+h2, l1+l2, fontsize=7, facecolor=MID, edgecolor=MID, labelcolor=TEXT) + + # ── Stats ────────────────────────────────────────────────────────────── + ax_stats.set_facecolor(PANEL) + for sp in ax_stats.spines.values(): + sp.set_edgecolor(MID) + ax_stats.set_xticks([]); ax_stats.set_yticks([]) + ax_stats.set_title("Summary", color=TEXT, fontsize=9, fontweight="bold", pad=5) + + rows = [ + ("Start", s["start"]), + ("Duration", s["duration"]), + ("GPS / Net pts", f"{s['gps_points']} / {s['net_points']}"), + ("Distance", fv(s["distance_km"], "{:.2f} km")), + ("Avg spd (GPS)", fv(s["avg_speed"], "{:.1f} km/h")), + ("Max speed", fv(s["max_speed"], "{:.1f} km/h")), + ("Elev range", f"{fv(s['elev_min'],'{:.0f}')} – {fv(s['elev_max'],'{:.0f}')} m"), + ("Elev ↑ / ↓", f"+{fv(s['elev_gain_m'],'{:.0f}')} / −{fv(s['elev_loss_m'],'{:.0f}')} m"), + ("Avg acc GPS", fv(s["avg_acc_gps"], "{:.1f} m")), + ("Avg acc Net", fv(s["avg_acc_net"], "{:.1f} m")), + ("Avg satellites", fv(s["avg_sats"], "{:.1f}")), + ("Avg HDOP", fv(s["avg_hdop"], "{:.2f}")), + ] + for i, (lbl, val) in enumerate(rows): + y = 0.97 - i * 0.080 + ax_stats.text(0.03, y, lbl+":", transform=ax_stats.transAxes, + color=MUTED, fontsize=7.5, va="top") + ax_stats.text(0.97, y, val, transform=ax_stats.transAxes, + color=TEXT, fontsize=7.5, va="top", ha="right", fontweight="bold") + + return fig + + +# ── Multi-device comparison figure ──────────────────────────────────────── + +def make_comparison_figure(datasets): + """datasets: list of (df, stats_dict)""" + n = len(datasets) + palettes = [DEVICE_PALETTES[i % len(DEVICE_PALETTES)] for i in range(n)] + labels = [s["label"] for _, s in datasets] + + fig = plt.figure(figsize=(18, 13), facecolor=DARK) + fig.suptitle("Device Comparison — " + " vs ".join(labels), + color=TEXT, fontsize=14, fontweight="bold", y=0.98) + + gs = gridspec.GridSpec(3, 4, figure=fig, + left=0.05, right=0.97, top=0.94, bottom=0.06, + hspace=0.52, wspace=0.44) + ax_map = fig.add_subplot(gs[:2, :2]) + ax_elev = fig.add_subplot(gs[:2, 2:]) + ax_speed = fig.add_subplot(gs[2, 0]) + ax_acc = fig.add_subplot(gs[2, 1]) + ax_sats = fig.add_subplot(gs[2, 2]) + ax_stats = fig.add_subplot(gs[2, 3]) + + # ── Overlay map ──────────────────────────────────────────────────────── + ax_map.set_facecolor(PANEL) + style_ax(ax_map, "Track Overlay (solid = GPS · ◆ = Network)", "Longitude", "Latitude") + + all_lats, all_lons = [], [] + legend_patches = [] + + for i, (df, s) in enumerate(datasets): + gps_col, net_col = palettes[i] + gps = df[df["provider"] == "gps"] + net = df[df["provider"] == "network"] + + if len(gps) >= 2: + pts = np.array([gps["lon"].values, gps["lat"].values]).T.reshape(-1, 1, 2) + segs = np.concatenate([pts[:-1], pts[1:]], axis=1) + lc = LineCollection(segs, linewidth=2.0, alpha=0.82, color=gps_col) + ax_map.add_collection(lc) + elif len(gps) == 1: + ax_map.scatter(gps["lon"], gps["lat"], s=30, color=gps_col, zorder=5) + + if not net.empty: + ax_map.scatter(net["lon"], net["lat"], s=22, color=net_col, + marker="D", alpha=0.75, zorder=5) + + ax_map.scatter([df["lon"].iloc[0]], [df["lat"].iloc[0]], + s=90, color=gps_col, marker="o", zorder=7) + ax_map.scatter([df["lon"].iloc[-1]], [df["lat"].iloc[-1]], + s=90, color=gps_col, marker="s", zorder=7) + + all_lats.extend(df["lat"].tolist()) + all_lons.extend(df["lon"].tolist()) + legend_patches.append(mpatches.Patch(color=gps_col, label=f"{s['label']} GPS")) + if not net.empty: + legend_patches.append(mpatches.Patch(color=net_col, label=f"{s['label']} Network")) + + ax_map.legend(handles=legend_patches, fontsize=8, facecolor=MID, + edgecolor=MID, labelcolor=TEXT, loc="upper left") + all_lats = np.array(all_lats); all_lons = np.array(all_lons) + pad_lat = max((all_lats.max()-all_lats.min())*0.12, 0.001) + pad_lon = max((all_lons.max()-all_lons.min())*0.12, 0.001) + ax_map.set_xlim(all_lons.min()-pad_lon, all_lons.max()+pad_lon) + ax_map.set_ylim(all_lats.min()-pad_lat, all_lats.max()+pad_lat) + + # ── Elevation overlay ────────────────────────────────────────────────── + style_ax(ax_elev, "Elevation Profile", "Distance (km)", "Elevation (m)") + has_elev = False + for i, (df, s) in enumerate(datasets): + gps_col, _ = palettes[i] + if "elevation" in df.columns and df["elevation"].notna().any(): + elev = df["elevation"].interpolate() + ax_elev.plot(df["cum_dist_km"], elev, color=gps_col, + linewidth=1.5, label=s["label"], alpha=0.85) + has_elev = True + if has_elev: + ax_elev.legend(fontsize=8, facecolor=MID, edgecolor=MID, labelcolor=TEXT) + else: + ax_elev.text(0.5, 0.5, "No elevation data", transform=ax_elev.transAxes, + ha="center", va="center", color=MUTED) + + # ── Speed ────────────────────────────────────────────────────────────── + style_ax(ax_speed, "Speed (GPS only)", "Elapsed (min)", "km/h") + for i, (df, s) in enumerate(datasets): + gps_col, _ = palettes[i] + gps = df[df["provider"] == "gps"] + if not gps.empty: + ax_speed.plot(gps["elapsed_min"], gps["speed_kmh"], + color=gps_col, linewidth=1.2, label=s["label"], alpha=0.85) + ax_speed.legend(fontsize=7, facecolor=MID, edgecolor=MID, labelcolor=TEXT) + + # ── Accuracy ─────────────────────────────────────────────────────────── + style_ax(ax_acc, "Fix Accuracy", "Elapsed (min)", "Accuracy (m)") + for i, (df, s) in enumerate(datasets): + gps_col, net_col = palettes[i] + gps = df[df["provider"] == "gps"] + net = df[df["provider"] == "network"] + if "accuracy" in df.columns: + if not gps.empty: + ax_acc.plot(gps["elapsed_min"], gps["accuracy"], + color=gps_col, linewidth=1.1, label=f"{s['label']} GPS") + if not net.empty: + ax_acc.scatter(net["elapsed_min"], net["accuracy"], + color=net_col, s=14, label=f"{s['label']} Net", zorder=5) + ax_acc.legend(fontsize=6.5, facecolor=MID, edgecolor=MID, labelcolor=TEXT) + + # ── Satellites ───────────────────────────────────────────────────────── + style_ax(ax_sats, "Satellite Count", "Elapsed (min)", "# Sats") + for i, (df, s) in enumerate(datasets): + gps_col, _ = palettes[i] + gps = df[df["provider"] == "gps"] + if "satellites" in df.columns and not gps.empty: + ax_sats.plot(gps["elapsed_min"], gps["satellites"], + color=gps_col, linewidth=1.1, label=s["label"]) + ax_sats.legend(fontsize=7, facecolor=MID, edgecolor=MID, labelcolor=TEXT) + + # ── Stats table ──────────────────────────────────────────────────────── + ax_stats.set_facecolor(PANEL) + for sp in ax_stats.spines.values(): + sp.set_edgecolor(MID) + ax_stats.set_xticks([]); ax_stats.set_yticks([]) + ax_stats.set_title("Side-by-Side", color=TEXT, fontsize=9, fontweight="bold", pad=5) + + stat_rows = [ + ("Duration", [s["duration"] for _,s in datasets]), + ("GPS pts", [str(s["gps_points"]) for _,s in datasets]), + ("Net pts", [str(s["net_points"]) for _,s in datasets]), + ("Distance", [fv(s["distance_km"], "{:.2f} km") for _,s in datasets]), + ("Avg spd GPS", [fv(s["avg_speed"], "{:.1f} km/h") for _,s in datasets]), + ("Max speed", [fv(s["max_speed"], "{:.1f} km/h") for _,s in datasets]), + ("Avg acc GPS", [fv(s["avg_acc_gps"], "{:.1f} m") for _,s in datasets]), + ("Avg acc Net", [fv(s["avg_acc_net"], "{:.1f} m") for _,s in datasets]), + ("Avg sats", [fv(s["avg_sats"], "{:.1f}") for _,s in datasets]), + ("Avg HDOP", [fv(s["avg_hdop"], "{:.2f}") for _,s in datasets]), + ] + + col_w = 1.0 / (n + 1) + # header + ax_stats.text(0.02, 0.97, "Metric", transform=ax_stats.transAxes, + color=MUTED, fontsize=7, va="top", fontweight="bold") + for j, (_, s) in enumerate(datasets): + gps_col = palettes[j][0] + ax_stats.text(0.02 + (j+1)*col_w, 0.97, s["label"], + transform=ax_stats.transAxes, + color=gps_col, fontsize=7, va="top", fontweight="bold", ha="center") + + for row_i, (metric, vals) in enumerate(stat_rows): + y = 0.89 - row_i * 0.088 + ax_stats.text(0.02, y, metric, transform=ax_stats.transAxes, + color=MUTED, fontsize=6.8, va="top") + for j, val in enumerate(vals): + gps_col = palettes[j][0] + ax_stats.text(0.02 + (j+1)*col_w, y, val, + transform=ax_stats.transAxes, + color=TEXT, fontsize=6.8, va="top", ha="center", fontweight="bold") + + return fig + + +# ── CLI ──────────────────────────────────────────────────────────────────── + +def main(): + parser = argparse.ArgumentParser( + description="Analyze & compare GPSLogger CSV files." + ) + parser.add_argument("files", nargs="+", metavar="CSV") + parser.add_argument("--labels", "-l", nargs="*", default=None, + help="Device labels in file order, e.g. 'Pixel 7' 'Note 10 Pro'") + parser.add_argument("--no-individual", action="store_true", + help="Skip per-device plots; only produce comparison") + parser.add_argument("--out", "-o", default=None, + help="Output directory for PNGs (default: same dir as first input)") + parser.add_argument("--show", action="store_true", + help="Open interactive plot windows") + args = parser.parse_args() + + paths = [Path(f) for f in args.files] + labels = list(args.labels or []) + while len(labels) < len(paths): + labels.append(paths[len(labels)].stem) + + datasets = [] + for p, lbl in zip(paths, labels): + if not p.exists(): + print(f"[SKIP] Not found: {p}", file=sys.stderr) + continue + print(f"Loading {p.name} → {lbl}") + df = load_csv(p) + s = compute_stats(df, lbl) + datasets.append((df, s)) + prov = df["provider"].value_counts().to_dict() + print(f" {s['points']} pts {prov} | {s['distance_km']:.2f} km | " + f"{s['duration']} | GPS acc avg {fv(s['avg_acc_gps'], '{:.1f}')} m") + + if not datasets: + print("No valid files loaded.", file=sys.stderr) + sys.exit(1) + + out_dir = Path(args.out) if args.out else paths[0].parent + out_dir.mkdir(parents=True, exist_ok=True) + + # Individual plots + if not args.no_individual: + for i, (df, s) in enumerate(datasets): + fig = make_single_figure(df, s, palette_idx=i) + out = out_dir / f"{s['label'].replace(' ','_')}_analysis.png" + fig.savefig(out, dpi=150, bbox_inches="tight", facecolor=DARK) + print(f" Saved → {out}") + if args.show: + plt.show() + plt.close(fig) + + # Comparison (auto-enabled for ≥2 devices) + if len(datasets) >= 2: + fig = make_comparison_figure(datasets) + name = "_vs_".join(s["label"].replace(" ", "_") for _, s in datasets) + out = out_dir / f"{name}_comparison.png" + fig.savefig(out, dpi=150, bbox_inches="tight", facecolor=DARK) + print(f" Saved → {out}") + if args.show: + plt.show() + plt.close(fig) + + print("Done.") + + +if __name__ == "__main__": + main() diff --git a/v4/phone_gpslogger/uv.lock b/v4/phone_gpslogger/uv.lock new file mode 100644 index 0000000..0712ec4 --- /dev/null +++ b/v4/phone_gpslogger/uv.lock @@ -0,0 +1,984 @@ +version = 1 +revision = 3 +requires-python = ">=3.13" +resolution-markers = [ + "python_full_version >= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform 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