From 14e48b3e8f27465214e9eb8b59d09f3943dd20cd Mon Sep 17 00:00:00 2001 From: mrdbourke Date: Fri, 17 May 2024 17:38:03 +1000 Subject: [PATCH] update pandas notebook --- .../introduction-to-pandas.ipynb | 482 ++++++++++++------ 1 file changed, 314 insertions(+), 168 deletions(-) diff --git a/section-2-data-science-and-ml-tools/introduction-to-pandas.ipynb b/section-2-data-science-and-ml-tools/introduction-to-pandas.ipynb index 15d732f97..867802bab 100644 --- a/section-2-data-science-and-ml-tools/introduction-to-pandas.ipynb +++ b/section-2-data-science-and-ml-tools/introduction-to-pandas.ipynb @@ -22,7 +22,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Last updated: 2023-09-08 11:44:43.964728\n" + "Last updated: 2024-05-17 17:19:29.997540\n" ] } ], @@ -122,7 +122,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "pandas version: 1.5.2\n" + "pandas version: 2.2.2\n" ] } ], @@ -548,6 +548,10 @@ "source": [ "# Import car sales data\n", "car_sales = pd.read_csv(\"../data/car-sales.csv\") # takes a filename as string as input\n", + "\n", + "# Option 2: Read directly from a URL/Google Sheets\n", + "# If you are reading from GitHub, be sure to use the \"raw\" link (original link: https://github.com/mrdbourke/zero-to-mastery-ml/blob/master/data/car-sales.csv)\n", + "car_sales = pd.read_csv(\"https://github.com/raw/mrdbourke/zero-to-mastery-ml/master/data/car-sales.csv\")\n", "car_sales" ] }, @@ -701,7 +705,12 @@ ], "source": [ "# Import the car sales data and save it to df\n", + "\n", + "# Option 1: Read from a CSV file (stored on our local computer)\n", "df = pd.read_csv(\"../data/car-sales.csv\")\n", + "\n", + "# Option 2: Read directly from a URL/Google Sheets (if the file is hosted online)\n", + "df = pd.read_csv(\"https://github.com/raw/mrdbourke/zero-to-mastery-ml/master/data/car-sales.csv\")\n", "df" ] }, @@ -1399,7 +1408,7 @@ " 3 Doors 10 non-null int64 \n", " 4 Price 10 non-null object\n", "dtypes: int64(2), object(3)\n", - "memory usage: 528.0+ bytes\n" + "memory usage: 532.0+ bytes\n" ] } ], @@ -3106,7 +3115,7 @@ "outputs": [ { "data": { - "image/png": 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wMKSmpuLkyZMoKiqCWq0GAKxZswZz587FW2+9BW9vb2zcuBENDQ34/PPPoVAoEB4ejrNnz2Lt2rVYsmQJJJK7P/GaiDrGdLRGZ+4ofT1PhQuG9emOzAINfj5/GX169LHaaxGRfbNqj1BZWRm2bt2KefPm3fDYxo0b4efnh6FDh2LZsmWorq42P5aeng6lUmkOQQAQFRUFpVKJAwcOmMeEh4ebQxAATJkyBXq9HllZWeYx48ePh0KhsBhTXFyMgoKCNmvW6/XQ6XQWNyLqPJ192OrN8LgNImoPqwahL774Al5eXnj00Uct7p81axa+/vpr7N27F6+99ho2bdpkMaa0tBQBAQE3PF9AQABKS0vNYwIDAy0e9/HxgVwuv+UY059NY663atUqc1+SUqlEUFBQB981Ed1K/uWWRul+Vg5Cpj6hA+cuw2hkXyARta3Dl8Y64h//+AdmzZoFNzc3i/uTkpLM/z88PBwDBgzAiBEjcOTIEQwfPhwA2rxsJQiCxf13MsbUKH2zy2IrVqzAkiVLzH/W6XQMQ0SdKM906ry/dVaMmdwb1B2echk0dU04VarDULXSqq9HRPbJajNCP/30E86cOYPnnnvutmOHDx8OV1dX5ObmAmjpMyorK7thXEVFhXlGR6VS3TCro9Fo0NTUdMsx5eXlAHDDTJGJQqGAt7e3xY2IOofBKOBCZR0A688IucqkGN3PtMs0L48RUdusFoQ+/fRTREZG4t57773t2BMnTqCpqQk9e/YEAERHR0Or1eLQoUPmMQcPHoRWq0VMTIx5TE5OjsUqtdTUVCgUCkRGRprH7N+/32JJfWpqKtRqNfr27dsZb5OIOqC4qh6NBiPkMinU3d1v/wV36WqfEDdWJKK2dTgI1dTUIDs7G9nZ2QCA/Px8ZGdno7Cw0DxGp9Ph3//+d5uzQefPn8cbb7yBw4cPo6CgANu2bcPjjz+OYcOGITY2FgAwePBgTJ06FUlJScjIyEBGRgaSkpIwffp0hIWFAQDi4uIwZMgQJCYm4ujRo9i1axeWLVuGpKQk8yzOzJkzoVAoMHfuXOTk5GDz5s1YuXIlV4wRicTUKB3cwwMyqfW/B2Nbzx3LzL8CfbPB6q9HRPanw0Ho8OHDGDZsGIYNGwYAWLJkCYYNG4Y//OEP5jHJyckQBAFPP/30DV8vl8uxa9cuTJkyBWFhYVi0aBHi4uKwc+dOyGRX9xTZuHEjIiIiEBcXh7i4ONxzzz3YsGGD+XGZTIatW7fCzc0NsbGxeOKJJzBjxgysXr3aPEapVGLHjh24ePEiRowYgZdeeglLliyx6AEioq5zdUdp614WMwkL9IJfNznqmww4WljVJa9JRPZFInCb5VvS6XRQKpXQarXsFyK6S3/8PgdfpF/Ai+ND8eq0QV3ymi8nH8X32cVY+EB/LI0L65LXJCLxtffzm2eNEVGXMV0as3aj9LViW0+jZ8M0EbWFQYiIuszVpfNdGIQGtAShXy5qoWto6rLXJSL7wCBERF2iocmAYm09gK7rEQKAXt3dEeLnCYNRwMG8K132ukRkHxiEiKhLXKisgyAAXm4u6OEp79LXjgnlfkJE1DYGISLqEuajNfy7dfn2FabjNhiEiOh6DEJE1CXEaJQ2iQ7tAYkEyC2vQZmuoctfn4hsF4MQEXUJc6O0CEGou4ccEb1azhrjrBARXYtBiIi6RP5l8YIQAMSYl9HzuA0iuopBiIi6hNhB6No+Ie4jS0QmDEJEZHVVdY24Utty+LFYQWhEXx/IXaQo1TXgfOtlOiIiBiEisjrTbJDK2w2eChdRanBzlWFEsA8A4MB59gkRUQsGISKyOrEvi5nEtl4eS8tlECKiFgxCRGR1Yhyt0RZTn1B6XiWaDUZRayEi28AgRERWly/iHkLXCu+lhLebC6obmpFTrBO1FiKyDQxCRGR1eTZyaUwmlSCax20Q0TUYhIjIqoxGAQU2EoSAq5fH2CdERACDEBFZWVl1A+qbDHCRShDk6yF2OYhpDUJZFzSobzSIXA0RiY1BiIisKr+1UbqPrwdcZeL/yOnn54meSjc0Gow4fOGK2OUQkcjE/6lERA7tvA1dFgMAiURydRk9+4SInB6DEBFZVb6Ih63eTGz/lobpAzx3jMjpMQgRkVXlX64BIP4eQteKbT2ANadYC03r0R9E5JwYhIjIqmxlV+lrBXi7YWBgNwhCy+aKROS8GISIyGoam40o0tQDAEL9u4lcjaWY0Kun0ROR82IQIiKrKbxSB4NRgIdchgAvhdjlWDDtJ8QgROTcGISIyGquvSwmkUhErsbS6H6+kEklKKisw0VNndjlEJFIGISIyGrMjdI21B9k4uXmint7KwFw9RiRM2MQIiKrsZXDVm9mDPcTInJ6DEJEZDV5pj2EbGjp/LVMGyseOH8ZgiCIXA0RiYFBiIis5uqMkG2tGDMZ1scH7q4yXK5pxJmyarHLISIRMAgRkVVUNzShvFoPAOhro5fG5C5SjArxBcDT6ImcVYeD0P79+5GQkAC1Wg2JRILvvvvO4vG5c+dCIpFY3KKioizG6PV6LFy4EH5+fvD09MRDDz2EixcvWozRaDRITEyEUqmEUqlEYmIiqqqqLMYUFhYiISEBnp6e8PPzw6JFi9DYaLlL7PHjxzF+/Hi4u7ujV69eeOONNzgFTtQFCi63rMTy6yaH0t1V5GpujsvoiZxbh4NQbW0t7r33Xqxfv/6mY6ZOnYqSkhLzbdu2bRaPL168GJs3b0ZycjLS0tJQU1OD6dOnw2AwmMfMnDkT2dnZSElJQUpKCrKzs5GYmGh+3GAwID4+HrW1tUhLS0NycjI2bdqEpUuXmsfodDpMnjwZarUamZmZWLduHVavXo21a9d29G0TUQfl2fCKsWvFtJ47djD/CpoMRpGrIaKu5tLRL5g2bRqmTZt2yzEKhQIqlarNx7RaLT799FNs2LABkyZNAgB8+eWXCAoKws6dOzFlyhScOnUKKSkpyMjIwOjRowEAH3/8MaKjo3HmzBmEhYUhNTUVJ0+eRFFREdRqNQBgzZo1mDt3Lt566y14e3tj48aNaGhowOeffw6FQoHw8HCcPXsWa9euxZIlS2xuXxMiR2KLR2u0ZbDKG76eclypbUR2URVG9vUVuyQi6kJW6RHau3cvAgICMHDgQCQlJaG8vNz8WFZWFpqamhAXF2e+T61WIzw8HAcOHAAApKenQ6lUmkMQAERFRUGpVFqMCQ8PN4cgAJgyZQr0ej2ysrLMY8aPHw+FQmExpri4GAUFBW3WrtfrodPpLG7WcODcZTz5YToO8pwjclBXg5BtNkqbSKUSxIS2zAqxT4jI+XR6EJo2bRo2btyI3bt3Y82aNcjMzMQDDzwAvb6labK0tBRyuRw+Pj4WXxcYGIjS0lLzmICAgBueOyAgwGJMYGCgxeM+Pj6Qy+W3HGP6s2nM9VatWmXuS1IqlQgKCuroX0G7bDlegoP5V7B+zzmrPD+R2Mwrxmx06fy12CdE5Lw6PQg9+eSTiI+PR3h4OBISErB9+3acPXsWW7duveXXCYJgcamqrctWnTHG1Ch9s8tiK1asgFarNd+KiopuWfed+s34UMikEvyUexnZRVVWeQ0isQiCYN5DyFY3U7yWaT+h7KIq1OibRa6GiLqS1ZfP9+zZE8HBwcjNzQUAqFQqNDY2QqPRWIwrLy83z9aoVCqUlZXd8FwVFRUWY66f1dFoNGhqarrlGNNluutnikwUCgW8vb0tbtYQ5OuBGff1AgCs381ZIXIsFTV61OibIZEAfXp4iF3ObQX5eqCPrweajQIO5fNyNZEzsXoQqqysRFFREXr27AkAiIyMhKurK3bs2GEeU1JSgpycHMTExAAAoqOjodVqcejQIfOYgwcPQqvVWozJyclBSUmJeUxqaioUCgUiIyPNY/bv32+xpD41NRVqtRp9+/a12ntur5fuD4VEAuw8VYaTxdbpRSISQ37rbFBvH3coXGQiV9M+plmhtFwGISJn0uEgVFNTg+zsbGRnZwMA8vPzkZ2djcLCQtTU1GDZsmVIT09HQUEB9u7di4SEBPj5+eGRRx4BACiVSsybNw9Lly7Frl27cPToUcyePRsRERHmVWSDBw/G1KlTkZSUhIyMDGRkZCApKQnTp09HWFgYACAuLg5DhgxBYmIijh49il27dmHZsmVISkoyz+LMnDkTCoUCc+fORU5ODjZv3oyVK1fazIqxUP9uiI9oCYh/38tZIXIc9tIofa3Y1mX0B86zT4jIqQgdtGfPHgHADbc5c+YIdXV1QlxcnODv7y+4uroKffr0EebMmSMUFhZaPEd9fb2wYMECwdfXV3B3dxemT59+w5jKykph1qxZgpeXl+Dl5SXMmjVL0Gg0FmMuXLggxMfHC+7u7oKvr6+wYMECoaGhwWLMsWPHhLFjxwoKhUJQqVTC66+/LhiNxna/X61WKwAQtFptx/6i2ulksVYIXr5F6PvqFiG3rNoqr0HU1VZuPSkEL98i/PH7HLFLabfKGr0QvHyLELx8i1Cmqxe7HCK6S+39/JYIArdZvhWdTgelUgmtVmu1fqGkfx7GjpNleHR4L6x94j6rvAZRVzL9N/3Gw0PxTHRfsctpt/i//YQTxTr89an78HBrDx8R2af2fn7zrDEbsOD+/gCA77OLUVhZJ3I1RHcvr8I+dpW+XiyX0RM5HQYhG3BvUHeMG+gPg1HA+/vOi10O0V1pNhhReKUl0NtrEErLvcwzCYmcBIOQjVj4QMus0H+yilCirRe5GqI7d6mqHk0GAXIXKdRKd7HL6ZCRfX0gl0lRrG1AAWdniZwCg5CNGNnXF6NDfNFkEPDhvjyxyyG6Y3mmFWM9PCGVir86syM85C4Y1qc7AF4eI3IWDEI2ZOEDAwAAXx8qREW1XuRqiO6MaQ8hezhaoy08boPIuTAI2ZDY/j1wX1B36JuN+CSNs0Jkn+zl1PmbiR3QEoQOnK+Ewcg+ISJHxyBkQyQSiblX6Mv0C9DUNt7mK4hsT95l+1wxZnJPLyW8FC7Q1jdxx3ciJ8AgZGMeGBSAwT29UdtowGcHCsQuh6jD7P3SmItMitH9WnaZTuPlMSKHxyBkY66dFfr853zoGppEroio/eobDSjWNgCwr+M1rjem9bgN9gkROT4GIRs0dagK/QO6QdfQjA3pF8Quh6jdCipbZoOU7q7w8XAVuZo7Z9pPKLPgChqaDCJXQ0TWxCBkg6RSCebfHwoA+DQtH3WNzSJXRNQ+pkbpfv6eNnGw8Z3qH9ANAV4K6JuNOHJBI3Y5RGRFDEI2KuEeNfr4euBKbSO+OlgodjlE7WKvR2tcTyKRmJfRs0+IyLExCNkoF5kUL01omRX6aH8ep+fJLpg2U+xn50EIAGJM+wmdrxS5EiKyJgYhG/bo8N7oqXRDebUe/866KHY5RLd1dQ8h+22UNoltbZg+frEK2jouWiByVAxCNkzuIsWL41tmhT7Yex5NBqPIFRHdmr1vpnitnkp3hPp7wigA6XmcFSJyVAxCNu7JkUHw66bApap6bD56SexyiG5KU9uIqtaZk75+HiJX0zlMq8cOnGefEJGjYhCycW6uMjw/LgQA8N6ec9zyn2yWqT9IrXSDh9xF5Go6RywbpokcHoOQHZg1OhjdPVxRUFmHLceKxS6HqE3mFWN2uqN0W6L69YBUAuRV1KK4ql7scojIChiE7ICnwgXzYltmhf6+5xyMnBUiG+RI/UEmSndX3NO7OwDuMk3kqBiE7MQzMX3hpXDB2bIapJ4sE7scohs40oqxa5lWjx3gMnoih8QgZCeU7q6YE9MXALB+Ty4EgbNCZFvyHWgPoWtd2yfE7zsix8MgZEeeHRMCD7kMOZd02Hu2QuxyiMyMRsEhL40BwPA+PnBzlaKiWo/c8hqxyyGiTsYgZEd8PeWYHRUMAFi3i7NCZDtKdA3QNxvhKpOgt4+72OV0KjdXGUb29QXAPiEiR8QgZGeeGxsCuYsURwqrkM6eBbIRphVjfXw94CJzvB8rpstjDEJEjsfxfmI5uAAvNzw9MggAsG73OZGrIWrhqI3SJqYDWDPyrqCZO7wTORQGITv0/PhQuMokSM+rxOGCK2KXQ4S8itZGaQfaQ+haQ3p6o7uHK2r0zfjlolbscoioEzEI2aFe3d3x2PDeAID1ezgrROJz1EZpE6lUgpjQlmX0vDxG5FgYhOzUbyaEQioB9p6pwHH+hkoic9Sl89ficRtEjolByE4F9/DEw/f1AtCyrxCRWPTNBlzU1AFwrOM1rhcb2hKEjhZqUNfYLHI1RNRZGITs2EsTQiGRAD+eKMOZ0mqxyyEnVVhZB6MAdFO4wL+bQuxyrCa4hwd6dXdHk0HAoXz25hE5CgYhOzYg0AvTwlUAWs4gIxJD3jX9QRKJRORqrEcikZhXj7FPiMhxdDgI7d+/HwkJCVCr1ZBIJPjuu+/MjzU1NWH58uWIiIiAp6cn1Go1nnnmGRQXW56YPmHCBEgkEovbU089ZTFGo9EgMTERSqUSSqUSiYmJqKqqshhTWFiIhIQEeHp6ws/PD4sWLUJjY6PFmOPHj2P8+PFwd3dHr1698MYbbzjURoTz7+8PANhyrNi8lwtRV3L0RulrxfQ3NUxzDy8iR9HhIFRbW4t7770X69evv+Gxuro6HDlyBK+99hqOHDmCb7/9FmfPnsVDDz10w9ikpCSUlJSYbx9++KHF4zNnzkR2djZSUlKQkpKC7OxsJCYmmh83GAyIj49HbW0t0tLSkJycjE2bNmHp0qXmMTqdDpMnT4ZarUZmZibWrVuH1atXY+3atR192zZrqFqJiYMCYBSA9/eeF7scckL5FU4UhFr7hE6W6FBZoxe5GiLqDC4d/YJp06Zh2rRpbT6mVCqxY8cOi/vWrVuHUaNGobCwEH369DHf7+HhAZVK1ebznDp1CikpKcjIyMDo0aMBAB9//DGio6Nx5swZhIWFITU1FSdPnkRRURHUajUAYM2aNZg7dy7eeusteHt7Y+PGjWhoaMDnn38OhUKB8PBwnD17FmvXrsWSJUscZhp//gP9set0OTYfvYRFEwcgyNdD7JLIiZhXjDlwo7SJv5cCg1ReOF1ajQPnK5Fwr1rskojoLlm9R0ir1UIikaB79+4W92/cuBF+fn4YOnQoli1bhurqq82+6enpUCqV5hAEAFFRUVAqlThw4IB5THh4uDkEAcCUKVOg1+uRlZVlHjN+/HgoFAqLMcXFxSgoKGizXr1eD51OZ3GzdcP7+GBMfz80GwV8uJ+zQtS18sxL5x1zV+nrmZbRHzjPPiEiR2DVINTQ0IBXX30VM2fOhLe3t/n+WbNm4euvv8bevXvx2muvYdOmTXj00UfNj5eWliIgIOCG5wsICEBpaal5TGBgoMXjPj4+kMvltxxj+rNpzPVWrVpl7ktSKpUICgq6g3fe9RY80NIr9K/MiyjTNYhcDTkLXUMTLrdeIurr5xwzkWO4nxCRQ7FaEGpqasJTTz0Fo9GI9957z+KxpKQkTJo0CeHh4Xjqqafwn//8Bzt37sSRI0fMY9q6bCUIgsX9dzLG1Ch9s8tiK1asgFarNd+Kiora8W7FNzrEFyP7+qDRYMRH+/PELoechKk/yN9LAS83V5Gr6RqjQnzhIpWg6Eo9CivrxC6HiO6SVYJQU1MTnnjiCeTn52PHjh0Ws0FtGT58OFxdXZGb27IxoEqlQllZ2Q3jKioqzDM6KpXqhlkdjUaDpqamW44pLy8HgBtmikwUCgW8vb0tbvZAIpFgwQMDAAAbD15gIyd1CWdaMWbiqXDBsD7dAQA/8/IYkd3r9CBkCkG5ubnYuXMnevTocduvOXHiBJqamtCzZ08AQHR0NLRaLQ4dOmQec/DgQWi1WsTExJjH5OTkoKSkxDwmNTUVCoUCkZGR5jH79++3WFKfmpoKtVqNvn37dsbbtSnjBvjhnt5KNDQZ8WlavtjlkBPIc4KjNdrC4zaIHEeHg1BNTQ2ys7ORnZ0NAMjPz0d2djYKCwvR3NyMX/3qVzh8+DA2btwIg8GA0tJSlJaWmsPI+fPn8cYbb+Dw4cMoKCjAtm3b8Pjjj2PYsGGIjY0FAAwePBhTp05FUlISMjIykJGRgaSkJEyfPh1hYWEAgLi4OAwZMgSJiYk4evQodu3ahWXLliEpKck8izNz5kwoFArMnTsXOTk52Lx5M1auXOlQK8auJZFIsKB1X6F/pl+Atq5J5IrI0TnTirFrmfqEDpy7DKPRcfYlI3JKQgft2bNHAHDDbc6cOUJ+fn6bjwEQ9uzZIwiCIBQWFgrjxo0TfH19BblcLoSGhgqLFi0SKisrLV6nsrJSmDVrluDl5SV4eXkJs2bNEjQajcWYCxcuCPHx8YK7u7vg6+srLFiwQGhoaLAYc+zYMWHs2LGCQqEQVCqV8PrrrwtGo7Hd71er1QoABK1W29G/KlEYDEZhyrv7hODlW4S/7Dgrdjnk4B78634hePkWIfVEqdildKnGZoMw5LXtQvDyLULOpSqxyyGiNrT381siCA60zbIV6HQ6KJVKaLVau+kX+u8vxVj49VEo3V3x86sPoJuiw9tFEd2WIAgY+scfUddowM4l49E/wDmWz5s8+3kmdp8ux/88OAjPjwsVuxwiuk57P7951pgDejCiJ/r5eUJb34QvMy6IXQ45qPJqPeoaDZBKgD5OuInn1T4hHrdBZM8YhByQTCrBS629Qp/8lIf6RoPIFZEjymtdOh/k6wG5i/P9KIltPXcsM/8K9M38HiOyV87308tJPHyfGr193HG5phHJmYVil0MOyBmXzl8rLNALft3kqG8y4GhhldjlENEdYhByUK4yKX4zoaVv4cN9efyNlTpd/uUaAM5ztMb1JBKJ+fLYz1xGT2S3GIQc2K8ieyPQW4FSXQM2ZV0SuxxyMKZLYyFOtnT+WtxPiMj+MQg5MIWLDC+0rmZ5b+85NBmMIldEjiTfSTdTvJYpCB27qIWugft2EdkjBiEH9/SoPujhKcdFTT1+yC4WuxxyEE0GIwqvtJyz5aw9QgDQq7s7Qvw8YTAKOJh3RexyiOgOMAg5OHe5DM+N7QcA+PveczBwF1zqBBc19Wg2CnBzlULl7SZ2OaIyrR5jnxCRfWIQcgKzo/pA6e6KvIpabM8puf0XEN2GqVG6bw9PSKWOd1xNR8SGsmGayJ4xCDkBLzdX/Dq2LwBg/e5zPBuJ7pqpUTrU3zlXjF0rOrQHJBIgt7wGZboGscshog5iEHISc2P6opvCBadLq7HrdLnY5ZCdy3PyPYSu1d1DjoheSgCcFSKyRwxCTqK7hxyJ0cEAgPW7c8Ej5uhu5FcwCF0rxnx5jMdtENkbBiEnMm9MCNxcpfjlohb7c/mbK905867STryH0LXGXLOxIn/JILIvDEJOxK+bAjNHtcwKrdvFWSG6M7X6ZpS29sI48x5C1xrR1wdyFylKdQ043zpbRkT2gUHIyTw/rh/kMikOX9DgYD73PaGOK6hs+aD38XBFdw+5yNXYBjdXGUYE+wAADpznbCuRPWEQcjIqpRueGNkbQMsKMqKOMu8ozRVjFszHbfCyM5FdYRByQi+MC4WLVIK0c5dxpFAjdjlkZ/LYKN0mU59Qel4lmnmcDZHdYBByQkG+HnhkWC8AwN85K0QdlM+l820K76WEt5sLqhuakVOsE7scImonBiEn9ZsJoZBKgF2ny5FzSSt2OWRH8njYaptkUgmiQ3ncBpG9YRByUv38u2H6PWoALSfTE7WHIAjIr2g5XoNL5280hn1CRHaHQciJzb+/PwBge04pcsuqRa6G7MGV2kboGpohkbScM0aWYlqDUNYFDeobDSJXQ0TtwSDkxMJUXpgyNBCCALy397zY5ZAdMPUHqZXucHOViVyN7enn54meSjc0Gow4fIHbUxDZAwYhJ7fg/gEAgO+zL+FCJTeCo1szrRjrx8tibZJIJFeX0bNPiMguMAg5uYjeSkwI84dRAN7nrBDdBg9bvb3Y/i0N0wd47hiRXWAQIix8oKVXaNORi7hUVS9yNWTL8i+3NkozCN1UbOsBrDnFWmhqG0Wuhohuh0GIEBnsi+h+PdBkEPDRPs4K0c1xD6HbC/B2w8DAbhCEls0Vici2MQgRgKuzQl9nFqG8ukHkasgWGYwCCirrAAChPF7jlmJCr55GT0S2jUGIAADRoT0wvE93NDYb8clP+WKXQzaouKoejc1GyGVSqLu7i12OTTPtJ8QgRGT7GIQIQMtql4UPtKwg+zLjAq6wt4GuY2qUDu7hAZlUInI1tm10P1/IpBIUVNah6Eqd2OUQ0S0wCJHZhDB/DFV7o67RgM9+5qwQWTLvKM3+oNvycnPFfUHdAQAHznNWiMiWdTgI7d+/HwkJCVCr1ZBIJPjuu+8sHhcEAa+//jrUajXc3d0xYcIEnDhxwmKMXq/HwoUL4efnB09PTzz00EO4ePGixRiNRoPExEQolUoolUokJiaiqqrKYkxhYSESEhLg6ekJPz8/LFq0CI2NljMZx48fx/jx4+Hu7o5evXrhjTfegCAIHX3bTqFlVqilV+jznwugrW8SuSKyJeZGae4h1C6x5nPH2DBNZMs6HIRqa2tx7733Yv369W0+/vbbb2Pt2rVYv349MjMzoVKpMHnyZFRXXz3CYfHixdi8eTOSk5ORlpaGmpoaTJ8+HQbD1S3pZ86ciezsbKSkpCAlJQXZ2dlITEw0P24wGBAfH4/a2lqkpaUhOTkZmzZtwtKlS81jdDodJk+eDLVajczMTKxbtw6rV6/G2rVrO/q2nUbcEBUGBHRDtb4ZG9ILxC6HbAgPW+2Y2Gv6hIxG/vJFZLOEuwBA2Lx5s/nPRqNRUKlUwp/+9CfzfQ0NDYJSqRQ++OADQRAEoaqqSnB1dRWSk5PNYy5duiRIpVIhJSVFEARBOHnypABAyMjIMI9JT08XAAinT58WBEEQtm3bJkilUuHSpUvmMV9//bWgUCgErVYrCIIgvPfee4JSqRQaGhrMY1atWiWo1WrBaDS26z1qtVoBgPk5ncF3Ry8Kwcu3CPf9349CTUOT2OWQjYj90y4hePkW4VB+pdil2AV9k0EY9PvtQvDyLcLJYuf5+UFkK9r7+d2pPUL5+fkoLS1FXFyc+T6FQoHx48fjwIEDAICsrCw0NTVZjFGr1QgPDzePSU9Ph1KpxOjRo81joqKioFQqLcaEh4dDrVabx0yZMgV6vR5ZWVnmMePHj4dCobAYU1xcjIKCgs586w4lPqIn+vbwgKauCV8dLBS7HLIBDU0G82ab7BFqH7mLFKNCfAFw9RiRLevUIFRaWgoACAwMtLg/MDDQ/FhpaSnkcjl8fHxuOSYgIOCG5w8ICLAYc/3r+Pj4QC6X33KM6c+mMdfT6/XQ6XQWN2fjIpPipQktvUIf/ZSHhiaeou3sLlTWQRAALzcX9PCUi12O3eAyeiLbZ5VVYxKJ5dJaQRBuuO96149pa3xnjBFaG6VvVs+qVavMDdpKpRJBQUG3rNtRzRjWC726u6OiWo9/HS4SuxwSmelojX5+nrf9XqarTH1CB/OvoFbfLHI1RNSWTg1CKpUKwI2zLeXl5eaZGJVKhcbGRmg0mluOKSsru+H5KyoqLMZc/zoajQZNTU23HFNeXg7gxlkrkxUrVkCr1ZpvRUXOGQLkLlK8OL4fAOCDvefR2GwUuSISEw9bvTODVF4I7uGBukYDPuTxNUQ2qVODUEhICFQqFXbs2GG+r7GxEfv27UNMTAwAIDIyEq6urhZjSkpKkJOTYx4THR0NrVaLQ4cOmcccPHgQWq3WYkxOTg5KSkrMY1JTU6FQKBAZGWkes3//fosl9ampqVCr1ejbt2+b70GhUMDb29vi5qweHxEEfy8FirUN2Hz04u2/gBxWfoUpCPFojY6QSiV4deogAC2XmYt5qDGRzelwEKqpqUF2djays7MBtDRIZ2dno7CwEBKJBIsXL8bKlSuxefNm5OTkYO7cufDw8MDMmTMBAEqlEvPmzcPSpUuxa9cuHD16FLNnz0ZERAQmTZoEABg8eDCmTp2KpKQkZGRkICMjA0lJSZg+fTrCwsIAAHFxcRgyZAgSExNx9OhR7Nq1C8uWLUNSUpI5vMycORMKhQJz585FTk4ONm/ejJUrV2LJkiWc3m8HN1cZXhjXMiv03t7zaDZwVshZmfYQ6sc9hDpsargKI/v6oKHJiNU/nhG7HCK6XkeXo+3Zs0cAcMNtzpw5giC0LKH/4x//KKhUKkGhUAjjxo0Tjh8/bvEc9fX1woIFCwRfX1/B3d1dmD59ulBYWGgxprKyUpg1a5bg5eUleHl5CbNmzRI0Go3FmAsXLgjx8fGCu7u74OvrKyxYsMBiqbwgCMKxY8eEsWPHCgqFQlCpVMLrr7/e7qXzguCcy+evVatvEu77vx+F4OVbhM1HLopdDolk2BupQvDyLcLxi1Vil2KXsgs1QvDyLULw8i3CL0Uascshcgrt/fyWCAK3Wb4VnU4HpVIJrVbrtJfJ/r7nHN758Qz6B3RD6uJxkPKcKadSVdeI+95ouZR94v+mwFPhInJF9um332Rj89FLGNXXF9+8EMVZaSIra+/nN88ao9tKjA6Gl5sLzpXX4McTbW87QI7LdFks0FvBEHQXXpkSBoWLFIcKrvD7iMiGMAjRbXm7ueLXMX0BAOt2n+NZbU4mnyvGOoW6uzueb+25W7X9NPTN3J+LyBYwCFG7/Do2BB5yGU6W6LD7dLnY5VAXuhqEuGLsbr04PhT+XgpcqKzDhvQLYpdDRGAQonby8ZQjMSoYAGeFnI1pD6FQrhi7a54KFyyLGwgA+OuuXFypbbzNVxCRtTEIUbvNGxsChYsU2UVV+PlcpdjlUBfJq+Clsc70q8ggDFJ5obqhGX/blSt2OUROj0GI2i3Ayw1Pj+oDAFi3mz/AnYHRKKCAPUKdSiaV4PfxQwAAGzIu4Fx5jcgVETk3BiHqkOfH9YOrTIKD+VdwKP+K2OWQlZVVN6C+yQCZVIIgXw+xy3EYYwb4YeKgABiMAv60/ZTY5RA5NQYh6hB1d3f8KrI3AGD9nnMiV0PWZjpao4+vB1xl/HHRmVY8OBgyqQQ7T5XzdHoiEfEnG3XYb8b3h0wqwf6zFfilqErscsiKTI3S/XhZrNP1D+iG2aNbLjW/ufUUDEYuQCASA4MQdVifHh54+D41AM4KOTruIWRdL08aCC83F5wq0WFTFg82JhIDgxDdkZcm9IdEAuw4WYZTJTqxyyEryatoaeQN4dJ5q/D1lOPliQMAAO+knkGtvlnkioicD4MQ3ZH+Ad3wYERPAC1nkZFj4oyQ9SVGByO4hwcqqvX4cN95scshcjoMQnTHFtzfHwCw9XgJzldwCbCjaWw2okhTDwDox12lrUbhIsOKaYMAAB/9lIfiqnqRKyJyLgxCdMcG9/TGpMGBEARgHTeGczhFmjoYjAI85DIEeivELsehTRmqwqi+vmhoMmL1j2fELofIqTAI0V0x9Td8/0sxThRrRa6GOlP+NTtKSyQSkatxbBKJBL+fPhgA8O3RSzh2sUrcgoicCIMQ3ZWI3kok3KuGIAB/2n5a7HKoE+Vdbm2UZn9Ql7ind3c8OqwXAODNLad4nh9RF2EQorv2SlwYXGUS/JR7GT/lVohdDnWSfO4h1OWWTQmDm6sUhwqu4McTpWKXQ+QUGITorvXp4YFZo1tOpv/T9tMwcmM4h2A+bJVL57uMurs7nh/bDwCwavtp6JsNIldE5PgYhKhTLHygP7wULjhRrMMPvxSLXQ51gqtL57lirCu9MD4U/l4KXKisw4b0C2KXQ+TwGISoU/TopsCLE0IBAKtTz/A3WTtXo29GebUeAHuEupqnwgWvxIUBAP66KxdXahtFrojIsTEIUad5NjYEgd4KXNTU8zdZO1fQOhvk100OpburyNU4n8cie2NwT29UNzTjb9yagsiqGISo07jLZfjtpIEAWs4g09Y3iVwR3SnTBpmcDRKHTCrB7+NbltNvyLiAc+XcsJTIWhiEqFP9KrI3BgR0Q1VdE97fy+MC7BWP1hBfbH8/TBocAINRwJ+2nxK7HCKHxSBEncpFJsXyqS3HBXz2cz6PC7BTbJS2DSseHAwXqQQ7T5Xj53OXxS6HyCExCFGnmzg4AKP6+kLfbMS7O86KXQ7dAc4I2YZQ/26YHdWyNcWbW0/BwK0piDodgxB1OolEglcfbJkV+s+RizhdqhO5IuoIQRDMx2v04x5Cont54gB4u7ngVIkOm7Iuil0OkcNhECKrGN7HBw9GqCAIwJ959IZduVzTiGp9MyQSILiHh9jlOD0fTzkWtZ7p907qGdTqm0WuiMixMAiR1bwyZRBcpBLsOVOB9POVYpdD7ZTXumKst487FC4ykashAEiMDkZwDw9UVOvx4T4uQiDqTAxCZDUhfp54elQfAMCq7ad49IadYKO07VG4yLBiWsvl5o9+yuMiBKJOxCBEVrVo4gB4ymU4dlGLrcdLxC6H2oGHrdqmKUNVGNXXFw1NRqz+8YzY5RA5DAYhsip/LwWeH9dy9MY7P55BY7NR5IrodvK4YswmSSQS/H56yyaL3x69hGMXq8QtiMhBdHoQ6tu3LyQSyQ23+fPnAwDmzp17w2NRUVEWz6HX67Fw4UL4+fnB09MTDz30EC5etFwtodFokJiYCKVSCaVSicTERFRVVVmMKSwsREJCAjw9PeHn54dFixahsZHn9nS158aGwK+bAoVX6vDVQR69Yeu4dN523dO7Ox4d1gsA8OaWUxAEXm4muludHoQyMzNRUlJivu3YsQMA8Pjjj5vHTJ061WLMtm3bLJ5j8eLF2Lx5M5KTk5GWloaamhpMnz4dBsPVgzxnzpyJ7OxspKSkICUlBdnZ2UhMTDQ/bjAYEB8fj9raWqSlpSE5ORmbNm3C0qVLO/st0214KlyweFLLqpe/7T6H6gYevWGrDEYBFyq5dN6WLZsSBjdXKQ4VXEFKTqnY5RDZvU4PQv7+/lCpVObbli1bEBoaivHjx5vHKBQKizG+vr7mx7RaLT799FOsWbMGkyZNwrBhw/Dll1/i+PHj2LlzJwDg1KlTSElJwSeffILo6GhER0fj448/xpYtW3DmTMu189TUVJw8eRJffvklhg0bhkmTJmHNmjX4+OOPodNxX5uu9uTIIPTz88SV2kZ8uC9P7HLoJi5q6tBkECB3kUKtdBe7HGqDurs7nh/bDwCwavtp6JsNt/kKIroVq/YINTY24ssvv8Szzz4LiURivn/v3r0ICAjAwIEDkZSUhPLycvNjWVlZaGpqQlxcnPk+tVqN8PBwHDhwAACQnp4OpVKJ0aNHm8dERUVBqVRajAkPD4darTaPmTJlCvR6PbKysm5as16vh06ns7jR3XOVSfG71qM3PknLQ5muQeSKqC3m/qAenpBKJbcZTWJ5YXwo/L1aLjf/8wAvNxPdDasGoe+++w5VVVWYO3eu+b5p06Zh48aN2L17N9asWYPMzEw88MAD0Ov1AIDS0lLI5XL4+PhYPFdgYCBKS0vNYwICAm54vYCAAIsxgYGBFo/7+PhALpebx7Rl1apV5r4jpVKJoKCgO3rvdKMpQwMRGeyDhiYj/rKTR2/YItOO0uwPsm2eChe8EhcGAPjb7lxcqWXvI9GdsmoQ+vTTTzFt2jSLWZknn3wS8fHxCA8PR0JCArZv346zZ89i69att3wuQRAsZpWu/f93M+Z6K1asgFarNd+KiopuWRe1n0QiMe+F8k1mEc6VV4tcEV3P3CjN/iCb91hkbwzu6Y3qhmb8lb9YEN0xqwWhCxcuYOfOnXjuueduOa5nz54IDg5Gbm4uAEClUqGxsREajcZiXHl5uXmGR6VSoays7IbnqqiosBhz/cyPRqNBU1PTDTNF11IoFPD29ra4UecZ0dcXk4cEwigAf9rOvVBsDVeM2Q+ZVILfx7csp//yYCHOldeIXBGRfbJaEPrss88QEBCA+Pj4W46rrKxEUVERevbsCQCIjIyEq6urebUZAJSUlCAnJwcxMTEAgOjoaGi1Whw6dMg85uDBg9BqtRZjcnJyUFJydRO/1NRUKBQKREZGdtr7pI5bPnUQZFIJdp4qQ2bBFbHLoWuYglAoZ4TsQmx/P0waHACDUcCqbafELofILlklCBmNRnz22WeYM2cOXFxczPfX1NRg2bJlSE9PR0FBAfbu3YuEhAT4+fnhkUceAQAolUrMmzcPS5cuxa5du3D06FHMnj0bERERmDRpEgBg8ODBmDp1KpKSkpCRkYGMjAwkJSVh+vTpCAtruW4eFxeHIUOGIDExEUePHsWuXbuwbNkyJCUlcZZHZP0DuuGJES29Vyu3cS8UW1HfaMCl1qMbeLyG/Vjx4GC4SCXYdbocabmXxS6HyO5YJQjt3LkThYWFePbZZy3ul8lkOH78OB5++GEMHDgQc+bMwcCBA5Geng4vLy/zuHfffRczZszAE088gdjYWHh4eOC///0vZLKrB0Bu3LgRERERiIuLQ1xcHO655x5s2LDB4rW2bt0KNzc3xMbG4oknnsCMGTOwevVqa7xl6qDfThoAd1cZjhZW4ccT3AvFFhS07h+kdHeFj4eryNVQe4X6d8PsqGAAwJtbT8LAM/2IOkQi8NfxW9LpdFAqldBqtZxJ6mRrUs9g3e5zCPHzROpvx8FVxhNfxLTteAle2ngE9wV1x3fzY8UuhzpAU9uI8e/sga6hGX9+LAJPjuwjdklEomvv5zc/eUg0z4/rhx6ecuRfrkVyJlfniY2HrdovH085Fk1s2b19depZ1OibRa6IyH4wCJFovNxczT+8/7ozF7X84S2qvAoerWHPEqODEdzDAxXVeny477zY5RDZDQYhEtXTo/oguIcHLtfo8fFPPHpDTHmXW5Zfs1HaPilcZFgxrWU5/Uf781Dc2vhORLfGIESikrtI8cqUlpV+H+3PQ3k1j94QC/cQsn9ThgZiVIgv9M1GvPMj9+kiag8GIRJdfERP3NtbibpGA/62K1fscpySprYRVXVNAIC+fh4iV0N3SiKR4LX4IQCAzUcv4ZeiKnELIrIDDEIkOolEghUPtkzpf32oCHkV3CG3q5kOW+2pdIOH3OU2o8mWRfRW4tHhvQC0LKfnwmCiW2MQIpsQ1a8HHhjUskMup/S7Hi+LOZZXpoTBzVWKzAINUnK4TxfRrTAIkc1YPnUQpBJge04psi5obv8F1GnyWxuluWLMMfRUuuP5caEAgFXbT0PfbBC5IiLbxSBENiNM5YVfRfYGAPxpO4/e6EqmpfNcMeY4XhjXDwFeChReqcM/D1wQuxwim8UgRDblt5MHQuHSMqW/81S52OU4DW6m6Hg8FS5Y1roi82+7c3GltlHkiohsE4MQ2ZSeSnc8OyYEAPDnlNNoNhhFrsjxGY0Ce4Qc1GPDe2NIT29UNzTjrzvPil0OkU1iECKb85sJofDxcMW58hr8O+ui2OU4vBJdA/TNRrhIJejt4y52OdSJZFIJfh/fsiLzy4OFOFfOFZlE12MQIpvj7eaKBQ+0HL3x7o6zqGvk0RvWlN/aH9SnhwdcePCtw4np74dJgwNhMApYte2U2OUQ2Rz+1CObNDuqD3r7uKO8Wo9/pOWLXY5DM68YY6O0w1rx4CC4SCXYdbocabmXxS6HyKYwCJFNUrjIzEdvfLAvD5U1epErclznediqwwv174bZUcEAWjZZNBi5IpPIhEGIbFbCPWqE9/JGjb4Z63afE7sch8VGaefw8sQB8HZzwenSavwnq0jscohsBoMQ2SypVGI+TXvjwQu4UFkrckWOiUHIOfh4yrFoYkvv3erUs6jRs/eOCGAQIhsX298P4wb6o8nAozesQd9swEVNHQDuIeQMnonui749PFBRrceH+86LXQ51QLPBiHPlNdh6rARrd5zFCxsO44UNh5FbVi12aXaPpyuSzXt16iD8lFuBLcdKkDS2CvcGdRe7JIdRdKUORgHwlMvg76UQuxyyMrmLFK9OG4wXv8zCR/vz8PSoPlB355YJtkQQBJTp9DhdqsOZ0uqWW1k1cstr0Nh8475qh/Kv4J/PjkZEb6UI1ToGBiGyeUPU3nhkWC98e+QSVm0/ha+ToiCRSMQuyyHkmRulu/Hv1ElMGRqIUSG+OJR/Be/8eAbvPnmf2CU5LW19E86WVV8NPK2hR1vf1OZ4d1cZBqq8EBbYDWEqb/zwSzF+KarC0x9n4B9zR2JUiG8XvwPHwCBEdmFpXBi2HCtBRt4V7D1TgfsHBYhdkkPIY3+Q05FIJHgtfggS1qdh89FLmBvTl7OsVqZvNuB8eS3OlOlwurQaZ1tDT7G2oc3xMqkEIX6eCFN5YVCgFwaqvDBI5YUgHw9IpVd/YXlyZBCe+yITGXlX8Mw/DuKD2ZGYEMafjR3FIER2oVd3d8yN6YuP9ufhT9tPY9xAf8iknMG4W/kVDELOKKK3Eo8Ob5llfXPrSfzrhWjOCHYCo1FAkabOPLtzunW2J/9y7U23LFAr3RCmuhp2wgK9ERrgCYWL7Lav103hgs9/PQovbTyC3afLkfTPw/jrU8PwYETPzn5rDo1BiOzGSxNCkXyoEGfKqvHtkYt4fESQ2CXZPfNhq9xDyOm8MiUM246XILNAg5ScUkzjh2eHXK7Rt4Sd1hme02XVyC2rRl2joc3x3m4uGKTyRpjKy3wbGOgFpbvrXdXh5irDh4mRWPKvX/DfX4qx4Ksj+PNj9/DnYwcwCJHd6O4hx4IH+mPlttNYu+MsEu5Vw8319r810c3x0pjz6ql0x/PjQvG3XblYtf00Hhgc0K5ZCGdT19iMs2U1OFPaclnrTGk1zpZV43JNY5vj5S5SDAjohrDAq4FnkMobgd4Kq826ucqk+MuT98FTLkNyZhFe+c8x1Oib8evYEKu8nqNhECK78kx0X3xx4AIuVdXjs58L8JsJoWKXZLd0DU243LpjN4OQc3phXD8kHypE4ZU6/PPABSSN6yd2SaJpNhiRf7kWZ1ovZ5lCT5GmDkIbV7UkEiDY16M17Hibg09fkc7sk0klWPVoBLopXPBJWj7+778nUatvxvz7+/Oy520wCJFdcXOVYcnkgVj671/w3t5zeGpkEHw85WKXZZcKWmeD/L0U8HK7u+l5sk+eChcsmxKG3/3nGP62OxePRfaGr4N/PwmCgBJtw9XLWmUt/3u+vAaNhhuXpwMt3yODWi9lhbX28vQP6AYPuW19hEokEvxv/GB4ubni3Z1nsTr1LKobmvHqtEEMQ7dgW/+KRO0wY1gvfPxTHk6XVuPve87h99OHiF2SXcpjozQBeGx4b3z+cwFOlujw151n8X8Ph4tdUqfTNxuQfr4Su06VY/fpclyqqm9znKdcZm5avhp6vO0qHEokErw8aQC6ubng/205iQ/356Fa34z/93A4F5jcBIMQ2R2ZVIIVDw7GnH8cwj/TL2BOTF8E+XqIXZbdMfUHcUdp5yaTSvD7+MGY+clBfHmwEInRfdE/oJvYZd21yzV67D5djl2nyvBT7mWLJmYXqQSh/t2uWanVEnp6dXe3WJ5uz+aNCUE3hQyvfnscXx0sRK2+GasfvxeuIly2s3UMQmSXxg3wQ2z/Hvj5XCXWpJ7BX54aJnZJdodnjJFJTH8/TBociJ2nyrBq2yl8Onek2CV1mCAIOF1ajd2ny7HzVBmyi6osensCvRV4YFAgJg0OQEyoH9zljt8Y/uTIPvBUuGBxcja+zy5Grb4Z62cO5yKT6zAIkV2SSCR4depgJKxPw3fZxXhubD+E9+IW8x2Rf7kGAIMQtVjx4CDsPVOOXafLkZZ7GWMG+Ild0m3pmw3IyLuCXafKsOvUjZe8InopMXFwACYOCkR4L2+n7JOZfo8annIXvPhlFnaeKsezn2fi42dGwFPBj38T/k2Q3YrorcRD96rxwy/F+HPKaWyYN1rskuyGIAjmzRS5hxABQKh/N8yOCsbnBwrw5taT2LporE32lJguee0+VY6fcitQe80lL4WLFGP6+2Hi4EA8MCgAKqWbiJXajvsHBeCLZ0dh3ueZOHC+ErM/PYjP546C0oOLJAArnD7/+uuvQyKRWNxUKpX5cUEQ8Prrr0OtVsPd3R0TJkzAiRMnLJ5Dr9dj4cKF8PPzg6enJx566CFcvHjRYoxGo0FiYiKUSiWUSiUSExNRVVVlMaawsBAJCQnw9PSEn58fFi1ahMbGtvd+IPv0ypQwuMok+Cn3MvafrRC7HLtRXq1HbaMBUgnQx5dBiFq8PHEAvN1ccLq0Gv8+XCR2OQBMl7x0+Puec3jkvZ8x8q2d+N1/jiHlRClqGw0I8FLg6VFB+OSZEcj+Qxw+nTsSM0f3YQi6TlS/HvgqKQrdPVxxtLAKT36Ujopqvdhl2QSrdE0NHToUJSUl5tvx48fNj7399ttYu3Yt1q9fj8zMTKhUKkyePBnV1dXmMYsXL8bmzZuRnJyMtLQ01NTUYPr06TAYrib/mTNnIjs7GykpKUhJSUF2djYSExPNjxsMBsTHx6O2thZpaWlITk7Gpk2bsHTpUmu8ZRJJkK8HEqP6AgD+tP00jDfZxp4smVaMBfl6QO7C5klq4eMpx6KJAwAAq1PPokbfLEod+mYD9p2twB++z8GYP+/B1L/8hHd+PIOjhS19P+G9vPHyxAH474IxyFgxEasevQeThgQ6Rd/P3bg3qDu+eT4a/l4KnC6txpMfpt90BZ0zkQhCW1tF3bnXX38d3333HbKzs294TBAEqNVqLF68GMuXLwfQMvsTGBiIP//5z3jhhReg1Wrh7++PDRs24MknnwQAFBcXIygoCNu2bcOUKVNw6tQpDBkyBBkZGRg9uuVySEZGBqKjo3H69GmEhYVh+/btmD59OoqKiqBWqwEAycnJmDt3LsrLy+Ht7d2u96PT6aBUKqHVatv9NdS1rtQ2Yvzbe1Ctb8a7T96LR4b1Frskm/fVwUL8z+bjmBDmj89/PUrscsiGNDYbEffuPhRU1mHB/f2xbEpYl7zu5Ro99pwux66bXPKK7e9n7vfhbM/dKbhci1mfHMSlqnqolW7YmBTlkL2C7f38tsqvgrm5uVCr1QgJCcFTTz2FvLw8AEB+fj5KS0sRFxdnHqtQKDB+/HgcOHAAAJCVlYWmpiaLMWq1GuHh4eYx6enpUCqV5hAEAFFRUVAqlRZjwsPDzSEIAKZMmQK9Xo+srKyb1q7X66HT6SxuZNt8PeV4sXWH6dU/nkVDU9tn/dBVbJSmm5G7SPHqtMEAgI9/yrPajMG1l7webb3k9cotLnn9Y+5IzBodzBDUCfr6eeI/v4lGP39PFGsb8PgH6ThV4ryfdZ3eLD169Gj885//xMCBA1FWVoY333wTMTExOHHiBEpLSwEAgYGBFl8TGBiICxcuAABKS0shl8vh4+NzwxjT15eWliIgIOCG1w4ICLAYc/3r+Pj4QC6Xm8e0ZdWqVfi///u/Dr5rEtuzsSHYkN5y9MaGdOc+KqA98rmHEN3ClKGBGB3ii4P5V/BOyulO255C32zAQdMqr9PluKixDFlD1d6YOLhliXu4Wukwe/rYop5Kd/zrhWg88+khnCzR4amPMvD5r0diWB+f23+xg+n0IDRt2jTz/4+IiEB0dDRCQ0PxxRdfICoqCgBuWMIoCMJtlzVeP6at8Xcy5norVqzAkiVLzH/W6XQICuIpvrbOXd5y9MbvNh3D+j3n8MSIIK6IuAXzZor+9r9xHnU+iUSC16YPMW9PMTc2BPcFdb+j56o0b2x44yUvuYsUsaE9MHFwICYODkBPpXsnvQNqD79uCnz9fBSe/TwTWRc0mPXJQXwyZwRiQm1/64TOZPUuSU9PT0RERCA3N9e8euz6GZny8nLz7I1KpUJjYyM0Gs0tx5SVld3wWhUVFRZjrn8djUaDpqamG2aKrqVQKODt7W1xI/vwWGRvDAzsBm19E97bd07scmxWk8GIwso6ALw0RjcX3kuJR1v77d7cchLtbScVBAFnWo+/efS9nzHiukte/l4KPDUyCB8/MwLZf5iMz349CrOjghmCRKJ0d8WGeaMwpr8f6hoNmPtZJnaevPHz1ZFZPQjp9XqcOnUKPXv2REhICFQqFXbs2GF+vLGxEfv27UNMTAwAIDIyEq6urhZjSkpKkJOTYx4THR0NrVaLQ4cOmcccPHgQWq3WYkxOTg5KSkrMY1JTU6FQKBAZGWnV90zikEklWD51EADgs58LuBriJi5q6tFsFODmKoXKm/0WdHOvTAmDm6sUhy9osD3n5i0F+mYD9p+twOs/nMDYt/dgyl/2450fz+BI6yqvIT29seiB/vh+fiwOrpiIPz12DyYPCbS5Q0udlYfcBZ/MGYG4IYFobDbixS+z8MMvxWKX1WU6/b/CZcuWISEhAX369EF5eTnefPNN6HQ6zJkzBxKJBIsXL8bKlSsxYMAADBgwACtXroSHhwdmzpwJAFAqlZg3bx6WLl2KHj16wNfXF8uWLUNERAQmTZoEABg8eDCmTp2KpKQkfPjhhwCA559/HtOnT0dYWMsKh7i4OAwZMgSJiYl45513cOXKFSxbtgxJSUmc5XFgDwwKMPc2rE09izVP3Ct2STbH1Cjdt4cnezDollRKN7wwLhR/3ZWLVdtPYeLgAChcWpaoV9bosedMBXadKsP+sze/5PXAoACou3O2x9a5ucrw3qzheOU/x7D56CW8nHwUtfpmPD2qj9ilWV2nB6GLFy/i6aefxuXLl+Hv74+oqChkZGQgODgYAPC73/0O9fX1eOmll6DRaDB69GikpqbCy8vL/BzvvvsuXFxc8MQTT6C+vh4TJ07E559/Dpns6h4RGzduxKJFi8yryx566CGsX7/e/LhMJsPWrVvx0ksvITY2Fu7u7pg5cyZWr17d2W+ZbIhE0nIg64y//4xvj17Ec2NDMLgng++18rijNHXAC+P74etDhSi6Uo81qWehdHfF7tPlOFKosTjLy6+bAhMHBWDi4ACMGeDH2R475CKTYs3j98JTIcOXGYVY8e1x1DQ0O/zik07fR8jRcB8h+zR/4xFsPV7CfXLa8L+bj2PjwULMvz8Ur0wZJHY5ZAf+fbgIr/zn2A33D+npjUmDAzBxcCAienGVl6MQBAF/TjmDD/adBwAsmjgAv500wO7Oamvv5zcjOzmkV6aE4ccTpdh7pgIHzl1GTH/nWgVxK1eXznPFGLXPY8N7Y9ORizhSWIUY0yovXvJyWBKJBK9OGwQvNxe88+MZ/G1XLqobmvBa/BCHDLsMQuSQ+vp5YtboPvgi/QJWbT+N7+fHOuQ38J0wXRoL4aUxaiepVIKvk6JgMApwkfFIFmcx//7+8HJzwR++P4HPfi5Arb4Zqx69xyYP470b/C+aHNbCiQPgKZfh+CUtthwvuf0XOIFafTNKdQ0AuJkidYxEImEIckLPRPfFmsfvhVQC/OvwRSz6+igam41il9Wp+F81OSy/bgq8MN509MYZh/vmvRMFlS2zQT4erujuIRe5GiKyB49F9sZ7s4bDVSbB1uMleH7DYdQ3Os5RRgxC5NCeGxsCfy8FCq/UYePBC2KXIzpTfxA3UiSijpga3hOfzhkJN1cp9p6pwJzPDqG6oUnssjoFgxA5NA+5C347aSAA4G+7cqFzkG/cO5Vv6g9iozQRddC4gf7YMG80vBQuOJR/BbM+OQhNbaPYZd01BiFyeE+M6I1Qf09o6prwYetyUGdlXjHGRmkiugMj+/ri6+ej4Ospx7GLWjz5UTrKW/sO7RWDEDk8F5kUv2s9euPTtHyUau37m/ZunOep80R0l8J7KfGvF6IQ6K3A2bIaPP5hOoqu1Ild1h1jECKnEDckECOCfdDQZMRfdp4VuxxRCIKA/IqW4zW4dJ6I7kb/AC/858UY9PH1wIXKOjz+QTrOldeIXdYdYRAip9By9EbLrNC/Dhcht6xa5Iq63pXaRugamgG0nDNGRHQ3gnw98O8XozEgoBtKdQ144sN05FzSil1WhzEIkdOIDPbFlKGBMArAn1NOi11OlzP1B/Xq7g43V9ltRhMR3V6gtxu+eSEaEb2UuFLbiKc/zsDhgitil9UhDELkVH43dRBkUgl2nirHoXz7+ma9W3lcOk9EVuDrKcdXSaMxqq8vqhuakfjpIfyUWyF2We3GIEROJdS/G54aGQQAWLntFJzpzGGeOk9E1uLl5oovnh2F8QP9Ud9kwLzPDyMlp1TsstqFQYiczsuTBsBDLkN2URW228k3amfIv9zaKM0ZISKyAne5DB8/MwIPRqjQaDBi/ldH8O2Ri2KXdVsMQuR0Arzc8NzYfgCAd348gyaDcxy9wV2licja5C5S/O2pYfhVZG8YjAKW/OsXbEgvELusW2IQIqf0/Lh+8OsmR/7lWiQfKhS7HKszGAUUVLbs89GPu0oTkRW5yKR4+7F7MDemLwDgte9P4L2958Qt6hYYhMgpdVO44OWJAwAAf92Vixp9s8gVWVdxVT0am41wlUnQy8dd7HKIyMFJpRL8MWEIFj3QHwDwdsoZ/DnltE32ZTIIkdN6alQfhPh54nJNIz7anyd2OVZluiwW3MMTMqlE5GqIyBlIJBIsiQvDimkte7i9v/c8/vD9CRiNthWGGITIabnKpHhlShgA4JOf8lBe7bhHb+S17ijNozWIqKu9MD4Ubz0SDokE2JBxAcv+/Quabag3k0GInNq0cBXuC+qOukYD/rozV+xyrMbcKM2l80Qkglmjg/GXJ++DTCrBt0cvYf5XR6BvNohdFgAGIXJyEonEPG2bnFmE8xX2eVbO7eTxsFUiEtnD9/XCB7MjIXeR4scTZXjui8OoaxS/P5NBiJze6H49MGlwAAxGAQu/OmqePXEkV5fOc8UYEYln8pBAfDZ3JDzkMvyUexmJnx6Ctr5J1JoYhIgArHhwMJTurjhZokP8337CN5mFNrm64U40NBlwqaoeAPcQIiLxxfb3w5fPjYa3mwuyLmjw9EcZuFyjF60eBiEitBy9kbJ4LKL79UBdowHLNx3Hi19mQVPbKHZpd63wSh0EAfByc4FfN7nY5RARYXgfHyQ/Hw2/bnKcLNHhjf+eFK0WBiGiVj2V7tj43GismDYIrjIJfjxRhql/3Y+03Mtil3ZXrl0xJpFw6TwR2YYham/864VojB/oj9cfGipaHQxCRNeQSiV4YXwoNr8Ui37+nijT6TH704N4a+tJm1nh0FE8dZ6IbFU//2744tlR8PUUb7aaQYioDeG9lNi6cCxmR/UBAHz8Uz5m/P0AzpZVi1xZx+VXsFGaiOhmGISIbsJdLsObMyLwyTMj4Ospx6kSHRLWpeGf6QV21UjNPYSIiG6OQYjoNiYNCUTK4rEYP9Af+mYj/vD9CTz7eSYqqsVb5dAR+dxDiIjophiEiNohwMsNn/96JF5PGAK5ixR7zlRg6l/2Y/fpMrFLuyVtXRMqW1e+sUeIiOhGnR6EVq1ahZEjR8LLywsBAQGYMWMGzpw5YzFm7ty5kEgkFreoqCiLMXq9HgsXLoSfnx88PT3x0EMP4eLFixZjNBoNEhMToVQqoVQqkZiYiKqqKosxhYWFSEhIgKenJ/z8/LBo0SI0Ntr/kmjqehKJBHNjQ/DfBWMwSOWFytpGPPv5Yfzh+xw0NNlmI3Xe5ZYVY4HeCngqXESuhojI9nR6ENq3bx/mz5+PjIwM7NixA83NzYiLi0NtreVuvVOnTkVJSYn5tm3bNovHFy9ejM2bNyM5ORlpaWmoqanB9OnTYTBc/cCZOXMmsrOzkZKSgpSUFGRnZyMxMdH8uMFgQHx8PGpra5GWlobk5GRs2rQJS5cu7ey3TU4kTOWF7+bHYt6YEADAP9MvYPq6NJwo1opc2Y3yuWKMiOjWBCsrLy8XAAj79u0z3zdnzhzh4YcfvunXVFVVCa6urkJycrL5vkuXLglSqVRISUkRBEEQTp48KQAQMjIyzGPS09MFAMLp06cFQRCEbdu2CVKpVLh06ZJ5zNdffy0oFApBq9W2q36tVisAaPd4ci77zpQLI9/cIQQv3yL0/5+twof7zgkGg1HsssxW/3haCF6+RXh10zGxSyEi6lLt/fy2eo+QVtvyW7Kvr6/F/Xv37kVAQAAGDhyIpKQklJeXmx/LyspCU1MT4uLizPep1WqEh4fjwIEDAID09HQolUqMHj3aPCYqKgpKpdJiTHh4ONRqtXnMlClToNfrkZWV1Wa9er0eOp3O4kZ0M+MG+iNl8ThMHhKIJoOAldtOI/EfB1GqbRC7NAA8bJWI6HasGoQEQcCSJUswZswYhIeHm++fNm0aNm7ciN27d2PNmjXIzMzEAw88AL2+ZRVOaWkp5HI5fHx8LJ4vMDAQpaWl5jEBAQE3vGZAQIDFmMDAQIvHfXx8IJfLzWOut2rVKnPPkVKpRFBQ0J3/BZBT8PWU46PESKx6NALurjL8fK4SU/+6H9uPl4hd2jV7CDEIERG1xapBaMGCBTh27Bi+/vpri/uffPJJxMfHIzw8HAkJCdi+fTvOnj2LrVu33vL5BEGwOCKgreMC7mTMtVasWAGtVmu+FRUV3bImIqDlv7OnR/XB1kVjENFLiaq6Jvxm4xEs/88x1OqbRalJEISrS+e5hxARUZusFoQWLlyIH374AXv27EHv3r1vObZnz54IDg5Gbm4uAEClUqGxsREajcZiXHl5uXmGR6VSoazsxqXLFRUVFmOun/nRaDRoamq6YabIRKFQwNvb2+JG1F79/Lth029i8NKEUEgkwDeHixD/t5+QXVTV5bWU6hpQ32SATCpBkK9Hl78+EZE96PQgJAgCFixYgG+//Ra7d+9GSEjIbb+msrISRUVF6NmzJwAgMjISrq6u2LFjh3lMSUkJcnJyEBMTAwCIjo6GVqvFoUOHzGMOHjwIrVZrMSYnJwclJVcvUaSmpkKhUCAyMrJT3i/R9eQuUvxu6iB8nRQFtdINBZV1eOz9A1i/OxcGY9ftSG26LNbH1wOuMm4ZRkTUlk7/6Th//nx8+eWX+Oqrr+Dl5YXS0lKUlpaivr4eAFBTU4Nly5YhPT0dBQUF2Lt3LxISEuDn54dHHnkEAKBUKjFv3jwsXboUu3btwtGjRzF79mxERERg0qRJAIDBgwdj6tSpSEpKQkZGBjIyMpCUlITp06cjLCwMABAXF4chQ4YgMTERR48exa5du7Bs2TIkJSVxpoesLqpfD2x/eRym39MTBqOA1aln8dRH6bioqeuS1+dhq0REt9fpQej999+HVqvFhAkT0LNnT/Ptm2++AQDIZDIcP34cDz/8MAYOHIg5c+Zg4MCBSE9Ph5eXl/l53n33XcyYMQNPPPEEYmNj4eHhgf/+97+QyWTmMRs3bkRERATi4uIQFxeHe+65Bxs2bDA/LpPJsHXrVri5uSE2NhZPPPEEZsyYgdWrV3f22yZqk9LDFeueHoa1T9yLbgoXZBZoMO0vP+H77EtWf23uIUREdHsSQbCj0yNFoNPpoFQqodVqOYtEd6XoSh0Wf5ONrAstvW8P36fG/5sRDm83V6u83rOfZ2L36XK8OSMcs6OCrfIaRES2qr2f32wcIOoiQb4e+Ob5KPx20kDIpBJ8n12MaX/5CZkFV6zyenkVLcdrcMUYEdHNMQgRdSEXmRQvTxqAf78YjT6+HrhUVY8nP0zHmtQzaDIYO+11GpuNKNK09OX18+vWac9LRORoGISIRDC8jw+2vTwWv4rsDaMArNt9Dr/6IN3c13O3ijR1MBgFuLvKEOit6JTnJCJyRAxCRCLppnDB6sfvxd9nDoe3mwt+KapC/N9+wr8yi3C3rXvX7ih9s81DiYiIQYhIdPH39ETK4nGI6ueLukYDfrfpGF7aeASa2sY7fk7zijH2BxER3RKDEJENUHd3x8bnovDqtEFwlUmwPacUU/+6Hz+fu3xHz8fDVomI2odBiMhGyKQSvDg+FJtfikU/f0+U6fSY9clBrNx2CvpmQ4eeiyvGiIjah0GIyMaE91Ji68KxmDW6DwDgo/15eOTvB3CuvLrdz3F1M0WuGCMiuhUGISIb5C6X4a1HIvDxMyPg6ynHyRId4v+Whg3pBbdtpK7RN6O8Wg8ACOnBGSEiolthECKyYZOHBCJl8ViMG+gPfbMRr31/AvO+OIzLNfqbfk1B62xQD085lB7W2bWaiMhRMAgR2bgALzd8Pnck/pgwBHIXKXafLsfUv+zHntPlbY7nYatERO3HIERkB6RSCX4dG4IfFsRikMoLl2sa8evPM/HH73PQ0GTZSH3tHkJERHRrDEJEdmSQyhvfzY/Fs7EhAIAv0i8gYV0aThbrzGPyLptWjLFRmojodhiEiOyMm6sMf0gYgi+eHQV/LwVyy2sw4+8/45Of8mA0CtesGOOMEBHR7TAIEdmp8QP9kfLyWEweEohGgxFvbj2FZ/5xCHmtl8a4hxAR0e0xCBHZsR7dFPgoMRIrH4mAm6sUaecuo0bfDIkE6OPrIXZ5REQ2j0GIyM5JJBLMHN0HWxaORXgvbwAt+we5ucpEroyIyPa5iF0AEXWO/gHd8O1vYrHpyEUMVXuLXQ4RkV1gECJyIHIXKZ4e1UfsMoiI7AYvjREREZHTYhAiIiIip8UgRERERE6LQYiIiIicFoMQEREROS0GISIiInJaDEJERETktBiEiIiIyGkxCBEREZHTYhAiIiIip8UgRERERE6LQYiIiIicFoMQEREROS2ePn8bgiAAAHQ6nciVEBERUXuZPrdNn+M3wyB0G9XV1QCAoKAgkSshIiKijqquroZSqbzp4xLhdlHJyRmNRhQXF8PLywsSiaRTn1un0yEoKAhFRUXw9vbu1OemjuO/h23hv4dt4b+HbeG/x+0JgoDq6mqo1WpIpTfvBOKM0G1IpVL07t3bqq/h7e3N/5BtCP89bAv/PWwL/z1sC/89bu1WM0EmbJYmIiIip8UgRERERE6LQUhECoUCf/zjH6FQKMQuhcB/D1vDfw/bwn8P28J/j87DZmkiIiJyWpwRIiIiIqfFIEREREROi0GIiIiInBaDEBERETktBiGRvPfeewgJCYGbmxsiIyPx008/iV2SU1q1ahVGjhwJLy8vBAQEYMaMGThz5ozYZVGrVatWQSKRYPHixWKX4tQuXbqE2bNno0ePHvDw8MB9992HrKwssctySs3Nzfj973+PkJAQuLu7o1+/fnjjjTdgNBrFLs1uMQiJ4JtvvsHixYvxv//7vzh69CjGjh2LadOmobCwUOzSnM6+ffswf/58ZGRkYMeOHWhubkZcXBxqa2vFLs3pZWZm4qOPPsI999wjdilOTaPRIDY2Fq6urti+fTtOnjyJNWvWoHv37mKX5pT+/Oc/44MPPsD69etx6tQpvP3223jnnXewbt06sUuzW1w+L4LRo0dj+PDheP/99833DR48GDNmzMCqVatErIwqKioQEBCAffv2Ydy4cWKX47RqamowfPhwvPfee3jzzTdx33334S9/+YvYZTmlV199FT///DNnrW3E9OnTERgYiE8//dR832OPPQYPDw9s2LBBxMrsF2eEulhjYyOysrIQFxdncX9cXBwOHDggUlVkotVqAQC+vr4iV+Lc5s+fj/j4eEyaNEnsUpzeDz/8gBEjRuDxxx9HQEAAhg0bho8//ljsspzWmDFjsGvXLpw9exYA8MsvvyAtLQ0PPvigyJXZLx662sUuX74Mg8GAwMBAi/sDAwNRWloqUlUEtJxUvGTJEowZMwbh4eFil+O0kpOTceTIEWRmZopdCgHIy8vD+++/jyVLluB//ud/cOjQISxatAgKhQLPPPOM2OU5neXLl0Or1WLQoEGQyWQwGAx466238PTTT4tdmt1iEBKJRCKx+LMgCDfcR11rwYIFOHbsGNLS0sQuxWkVFRXh5ZdfRmpqKtzc3MQuhwAYjUaMGDECK1euBAAMGzYMJ06cwPvvv88gJIJvvvkGX375Jb766isMHToU2dnZWLx4MdRqNebMmSN2eXaJQaiL+fn5QSaT3TD7U15efsMsEXWdhQsX4ocffsD+/fvRu3dvsctxWllZWSgvL0dkZKT5PoPBgP3792P9+vXQ6/WQyWQiVuh8evbsiSFDhljcN3jwYGzatEmkipzbK6+8gldffRVPPfUUACAiIgIXLlzAqlWrGITuEHuEuphcLkdkZCR27Nhhcf+OHTsQExMjUlXOSxAELFiwAN9++y12796NkJAQsUtyahMnTsTx48eRnZ1tvo0YMQKzZs1CdnY2Q5AIYmNjb9hS4uzZswgODhapIudWV1cHqdTyo1smk3H5/F3gjJAIlixZgsTERIwYMQLR0dH46KOPUFhYiBdffFHs0pzO/Pnz8dVXX+H777+Hl5eXeaZOqVTC3d1d5Oqcj5eX1w39WZ6enujRowf7tkTy29/+FjExMVi5ciWeeOIJHDp0CB999BE++ugjsUtzSgkJCXjrrbfQp08fDB06FEePHsXatWvx7LPPil2a3eLyeZG89957ePvtt1FSUoLw8HC8++67XK4tgpv1ZX322WeYO3du1xZDbZowYQKXz4tsy5YtWLFiBXJzcxESEoIlS5YgKSlJ7LKcUnV1NV577TVs3rwZ5eXlUKvVePrpp/GHP/wBcrlc7PLsEoMQEREROS32CBEREZHTYhAiIiIip8UgRERERE6LQYiIiIicFoMQEREROS0GISIiInJaDEJERETktBiEiIiIyGkxCBEREZHTYhAiIiIip8UgRERERE6LQYiIiIic1v8H/I0UdC8+7akAAAAASUVORK5CYII=\n", + "image/png": 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Wm7VRqVSIiYkxtblZTU0NtFqt2UFELSevuBJ6AXCXyxDgqbDY6xjHCaVfLEVZdZ3FXoeIbJ9Fg9A333wDT09P/OlPfzJ7/OWXX8aPP/6IXbt2YerUqXj//ffx+uuvm86r1WoEBgaaPcf4tVqtvmObhucbPq+xNjebP38+VCqV6QgLC2vuWyaiOzDdFvN3h0QisdjrhHq7IcLXDTq9gNTsYou9DhHZvmbfGmuOr776CuPHj4eLi4vZ44mJNzqre/ToAblcjqlTp2L+/PlQKCz3W+LdzJkzx6w2rVbLMETUgrILLTtQuqFB7f2QW5SH/VnXENcl8O5PICKHZLEeoV9//RWZmZl47rnn7to2JiYG9fX1yM3NBWAYZ5Sfn2/Wxvi1cVzR7do0PN/weY21uZlCoYBSqTQ7iKjlWHqgdEND2nPANBHdncWC0Jdffom+ffuiZ8+ed22bnp4OqVSKgIAAAEBsbCz27t2Lurob9/aTkpIQHR0Nb29vU5vk5GSz6yQlJSE2NhYAEBkZiaCgILM2Wq0WqamppjZE1LpMiym2QhCKjfKFRAKczS9HgZYzRYmocc0OQuXl5UhPT0d6ejoAw6Dk9PR05OXlmdpotVqsX7++0d6glJQULF68GMePH0d2djbWrFmDV199FRMmTDCFnKeeegpyuRxTpkzBqVOnsHbtWixZssTsttUrr7yCbdu24cMPP0RGRgbmzZuHI0eOYMaMGQAM6xnNnDkT7733HjZu3IgTJ05g4sSJCAkJwejRo5v7tomoBbRmj5C3uxxdQwy9ugeyiiz+ekRko4Rm2rVrlwDglmPSpEmmNp999png6uoqlJaW3vL8tLQ0ISYmRlCpVIKLi4vQuXNn4f333xeqq6vN2h0/flwYMmSIoFAohDZt2ggLFiy45Vrr1q0TOnbsKMjlcqFr167C5s2bzc7r9XrhrbfeEgIDAwWFQiEMHz5cyMzMbPJ71Wg0AgBBo9E0+TlE1DhtVa0QPnuTED57k6Cpqm2V13x/y2khfPYm4a/r0lvl9YjIOjTn57dEEARBxBxm1bRaLVQqFTQaDccLEd2nE5c0eHTpPvh5KHDkzbi7P6EF/HquEE9/eQjBKhcceONhi85UIyLr0Zyf39xrjIhahXFrjdYYH2TUL9wHcpkUVzXVpttyREQNMQgRUavItvBmq41xlcvQN9ww9pCzx4ioMQxCRNQqGi6m2JqGdDBMo9/HIEREjWAQIqJW0Zozxhoa1M4XAJCSVQSdnkMiicgcgxARWZwgCKYg1K6Ve4S6t1HB08UJ2up6nLysadXXJiLrxyBERBZXWF6D8pp6SCVAmI9bq762k0yK2ChDrxBvjxHRzRiEiMjijAOlQ73doHCStfrrG8cJccA0Ed2MQYiILE6s8UFGg9oZgtCRCyWortOJUgMRWScGISKyOLGDUDt/dwQpXVBbr8eR3BJRaiAi68QgREQWZ7w1FtXKA6WNJBIJBrfnNHoiuhWDEBFZXI5pVWkP0WoY3N4wYPpAFoMQEd3AIEREFlWv0yOvuBJA6y+m2JCxR+jEZQ1KK2tFq4OIrAuDEBFZ1KWSKtTpBCicpAhWuohWR6DSBR0CPCAIhsUViYgABiEisrCGA6WlUnF3fzf2Cu3n7TEiuo5BiIgsKlvkGWMNmYLQefYIEZEBgxARWZRxoLQ1BKGYKB/IpBLkXKvA5dIqscshIivAIEREFmW8NRblL96MMSOlizN6hKoAcJVpIjJgECIii8optJ5bYwAwpD232yCiGxiEiMhiKmvrcUVTDQCIspIg1HCckCAIIldDRGJjECIii8m9Zlg/yMvNGd7ucpGrMejd1gsuzlJcK6/B2fxyscshIpExCBGRxYi9x1hjFE4yDIg0rDLN7TaIiEGIiCzGmmaMNTTk+nYbHCdERAxCRGQxxjWE2lnBjLGGBrUzjBNKzS5CnU4vcjVEJCYGISKymGwrmzFm1CVYCW83Z1TU6nD8YqnY5RCRiBiEiMgiBEFAdqF13hqTSiUYdH32GMcJETk2BiEisoiSyjpoq+sBABG+1hWEAGDw9dtjB7jdBpFDYxAiIoswDpQOUbnAVS4TuZpbGRdWPJpXgoqaepGrISKxMAgRkUWYxgf5W19vEAC09XVDmI8r6vUCDuUUi10OEYmEQYiILMK0x5ifdc0Ya8h4e4zT6IkcF4MQEVmEtc4Ya2gwB0wTObxmB6G9e/fi0UcfRUhICCQSCTZs2GB2/plnnoFEIjE7Ro4cadamuLgY48ePh1KphJeXF6ZMmYLycvOl7n/77TcMHToULi4uCAsLw8KFC2+pZf369ejUqRNcXFzQvXt3bNmyxey8IAiYO3cugoOD4erqiri4OJw7d665b5mI7oFpVWkrvTUGAIPaGRZWzFCX4Vp5jcjVEJEYmh2EKioq0LNnTyxbtuy2bUaOHImrV6+ajh9++MHs/Pjx43Hq1CkkJSVh06ZN2Lt3L1544QXTea1WixEjRiA8PBxpaWlYtGgR5s2bh5UrV5raHDhwAOPGjcOUKVNw7NgxjB49GqNHj8bJkydNbRYuXIiPP/4YK1asQGpqKtzd3REfH4/q6urmvm0iaga9XkBOkfHWmPUGIV8PBToHKwEAB7I4e4zIIQn3AYDw008/mT02adIk4bHHHrvtc06fPi0AEA4fPmx6bOvWrYJEIhEuX74sCIIgLF++XPD29hZqampMbWbPni1ER0ebvn7iiSeEhIQEs2vHxMQIU6dOFQRBEPR6vRAUFCQsWrTIdL60tFRQKBTCDz/80KT3p9FoBACCRqNpUnsiMrhYXCGEz94ktP+/zUJdvU7scu7ovU2nhPDZm4TX1x8XuxQiaiHN+fltkTFCu3fvRkBAAKKjo/Hiiy+iqOjGb1opKSnw8vJCv379TI/FxcVBKpUiNTXV1GbYsGGQy2/sVh0fH4/MzEyUlJSY2sTFxZm9bnx8PFJSUgAAOTk5UKvVZm1UKhViYmJMbW5WU1MDrVZrdlhCvrYa8zaewtyfT969MZENMt4Wa+vjBieZdQ9FbDhOSBAEkashotbW4p9QI0eOxLfffovk5GR88MEH2LNnD0aNGgWdTgcAUKvVCAgIMHuOk5MTfHx8oFarTW0CAwPN2hi/vlubhucbPq+xNjebP38+VCqV6QgLC2v2+2+KSyVVWHUgF9+n5uFSSaVFXoNITKYZY1a2x1hjBkT6wFkmweXSKlwo4r9HIkfT4kFo7Nix+MMf/oDu3btj9OjR2LRpEw4fPozdu3e39Eu1uDlz5kCj0ZiOixcvWuR1+oZ7Y3B7X9TrBXy2J9sir0EkJuOMMWseH2TkJndC77beAID9WZw9RuRoLN5nHRUVBT8/P5w/fx4AEBQUhIKCArM29fX1KC4uRlBQkKlNfn6+WRvj13dr0/B8w+c11uZmCoUCSqXS7LCUGQ91AACsPXIR+VoO3ib7Ytx13pqnzjdkXGWa6wkROR6LB6FLly6hqKgIwcHBAIDY2FiUlpYiLS3N1Gbnzp3Q6/WIiYkxtdm7dy/q6upMbZKSkhAdHQ1vb29Tm+TkZLPXSkpKQmxsLAAgMjISQUFBZm20Wi1SU1NNbcQ0MMoH/cK9UVuvx+d72StE9sW4vYatBCHjOKEDWUXQ6zlOiMiRNDsIlZeXIz09Henp6QAMg5LT09ORl5eH8vJyzJo1CwcPHkRubi6Sk5Px2GOPoX379oiPjwcAdO7cGSNHjsTzzz+PQ4cOYf/+/ZgxYwbGjh2LkJAQAMBTTz0FuVyOKVOm4NSpU1i7di2WLFmCxMREUx2vvPIKtm3bhg8//BAZGRmYN28ejhw5ghkzZgAAJBIJZs6ciffeew8bN27EiRMnMHHiRISEhGD06NH3+cd2/yQSCWY83B4AsCY1D0Vcw4TsRE29DpdKqgBY9xpCDfUMVcFD4YTSyjqcvmqZSRJEZKWaOyVt165dAoBbjkmTJgmVlZXCiBEjBH9/f8HZ2VkIDw8Xnn/+eUGtVptdo6ioSBg3bpzg4eEhKJVKYfLkyUJZWZlZm+PHjwtDhgwRFAqF0KZNG2HBggW31LJu3TqhY8eOglwuF7p27Sps3rzZ7LxerxfeeustITAwUFAoFMLw4cOFzMzMJr9XS0+f1+v1wiMf/yqEz94kLNx2xiKvQdTazqq1QvjsTUK3udsEvV4vdjlNNmXVISF89ibh093nxS6FiO5Tc35+SwSB80VvR6vVQqVSQaPRWGy80PZTakz9Lg0eCifsn/0wVG7OFnkdotZi/DvdI1SFjTOGiF1Ok329Pwd//99pDO3gh++mxIhdDhHdh+b8/LbuBT4cwO86ByI60BPlNfX4JiVX7HKI7pst7DHWGOM4ocO5xaiu04lcDRG1FgYhkUmlEky/Plboq/05KK+pF7kiovtjawOljToEeMDfU4HqOj2O5pWIXQ4RtRIGISuQ0D0YkX7uKK2sw5qDF8Quh+i+5NjY1HkjiUTCafREDohByArIpBL85cF2AIDPf81mtzzZNNOq0n7Wv6r0zYy70e8/zw1YiRwFg5CVGN27Ddp4ueJaeS1+PJQndjlE90RTVYdr5bUAbGfqfEPGcUK/XSqFpqruLq2JyB4wCFkJZ5kUL17vFfpsbzZq6tkrRLYn93pvUICnAh4KJ5Grab4QL1dE+btDLwAHs9krROQIGISsyON9QxGoVOCqphr/PXpZ7HKImi3bRgdKNzS43fVVpjlOiMghMAhZERdnGV4YZugVWr77POp1epErImqeHONmqzZ4W8zIeHtsH4MQkUNgELIy4waEwdddjovFVdh4/IrY5RA1i61tttqY2ChfSCVAVmEF1BpuiExk7xiErIyb3AlThkYCAJbtOg8dN4AkG3Jj6rztzRgzUrk5o3sbFQBOoydyBAxCVujpgeFQujghq7AC206qxS6HqEkEQbgxdd6Gb40BN26PMQgR2T8GISvk6eKMyYMNvUKf7DwHbgdHtiBfW4PKWh1kUgnCvN3ELue+DGkwToj//ojsG4OQlZo8OALuchky1GVIPlMgdjlEd2WcMRbm7Qq5k21/tPQJ94bCSYqCshpkFZaLXQ4RWZBtf1rZMS83OZ6OjQAAfLLrPH8rJatnq1trNMbFWYb+ET4AgH3neHuMyJ4xCFmx54ZGwsVZiuMXSzmVl6xeTqHtD5Ru6MY0ei6sSGTPGISsmJ+HAuMGtAUAfLLzvMjVEN2ZqUfIxgdKGw1ub9h3LDW7iGt6EdkxBiEr98KwKMhlUhzKKUYql/wnK2YMQu3s4NYYAHQNUUHl6oyymnr8dlkjdjlEZCEMQlYuWOWKx/uFAgCW7mKvEFmnOp0eecWVAOynR0gmldzYjZ7jhIjsFoOQDXjxgXaQSSX49dw1pF8sFbscoltcLK5EvV6Aq7MMgZ4uYpfTYrjdBpH9YxCyAWE+bhjdqw0AYCnHCpEVMt4Wi/Bzh1QqEbmalmMMQsfySlFZWy9yNURkCQxCNuIvD7WDRALsOJOP01e0YpdDZMa0orSdjA8yivB1QxsvV9Tq9DicWyJ2OURkAQxCNqKdvwcSugcDAJbtZq8QWRd72Gy1MRKJxDR7jNttENknBiEbMuPh9gCALSeu4nxBmcjVEN1gXEPI1vcYawz3HSOybwxCNqRTkBIjugRCEIDlu7LELofIxLi9hr31CAHAoHaGIHTqihbFFbUiV0NELY1ByMYYe4V+Pn4FF4oqRK6GCKioqUe+tgaAfQYhf08FOgV5AgAOZLFXiMjeMAjZmB6hXnigoz90egEr9rBXiMRnHCjt4y6Hl5tc5Gosw9grtJ/bbRDZHQYhG/TS9V6hf6ddwpXSKpGrIUdnT5ut3s6QDhwwTWSvGIRsUL8IHwyM8kGdTsDKvdlil0MOzl6nzjc0INIXTlIJ8oorcfH6CtpEZB8YhGzUSw93AAD8cCgPBWXVIldDjszeNlttjIfCCb3CvACwV4jI3jAI2ahB7XzRu60Xaur1+PLXHLHLIQeWXWiYMWbPPUIAt9sgslcMQjZKIpGYxgp9d/ACSjitl0QgCEKDxRQ9RK7GsoZ0MAShA1lF0OsFkashopbS7CC0d+9ePProowgJCYFEIsGGDRtM5+rq6jB79mx0794d7u7uCAkJwcSJE3HlyhWza0REREAikZgdCxYsMGvz22+/YejQoXBxcUFYWBgWLlx4Sy3r169Hp06d4OLigu7du2PLli1m5wVBwNy5cxEcHAxXV1fExcXh3LlzzX3LVuuh6AB0CVaislaHr/ezV4haX1FFLcqq6yGRAOG+bmKXY1E9Q73gJpehuKIWGWouaEpkL5odhCoqKtCzZ08sW7bslnOVlZU4evQo3nrrLRw9ehT//e9/kZmZiT/84Q+3tH3nnXdw9epV0/HSSy+Zzmm1WowYMQLh4eFIS0vDokWLMG/ePKxcudLU5sCBAxg3bhymTJmCY8eOYfTo0Rg9ejROnjxparNw4UJ8/PHHWLFiBVJTU+Hu7o74+HhUV9vHmJqGvUJfH8iFtrpO5IrI0RjHB4WoXOHiLBO5GsuSO0kRE+kDgOOEiOyKcB8ACD/99NMd2xw6dEgAIFy4cMH0WHh4uPDRRx/d9jnLly8XvL29hZqaGtNjs2fPFqKjo01fP/HEE0JCQoLZ82JiYoSpU6cKgiAIer1eCAoKEhYtWmQ6X1paKigUCuGHH35oytsTNBqNAEDQaDRNai8GnU4vDP9wtxA+e5OwdOc5scshB7P2UJ4QPnuTMOGLg2KX0io+35slhM/eJEz8MlXsUojoDprz89viY4Q0Gg0kEgm8vLzMHl+wYAF8fX3Ru3dvLFq0CPX19aZzKSkpGDZsGOTyG4uzxcfHIzMzEyUlJaY2cXFxZteMj49HSkoKACAnJwdqtdqsjUqlQkxMjKnNzWpqaqDVas0OayeVSjDjIUOv0Be/ZqOytv4uzyBqOdkOMHW+IeOA6UM5xait14tcDRG1BIsGoerqasyePRvjxo2DUqk0Pf7yyy/jxx9/xK5duzB16lS8//77eP31103n1Wo1AgMDza5l/FqtVt+xTcPzDZ/XWJubzZ8/HyqVynSEhYXdy9tudY/0CEa4rxtKKuvwfWqe2OWQAzHOGLPnxRQbig70hJ+HHFV1OhzLKxG7HCJqARYLQnV1dXjiiScgCAI+/fRTs3OJiYl48MEH0aNHD0ybNg0ffvghPvnkE9TU1FiqnCaZM2cONBqN6bh48aKo9TSVk0yKvzzYDgDw2d5sVNfpRK6IHMWNNYTse8aYkVQqabDdBscJEdkDiwQhYwi6cOECkpKSzHqDGhMTE4P6+nrk5uYCAIKCgpCfn2/Wxvh1UFDQHds0PN/weY21uZlCoYBSqTQ7bMUfe4ciROWCwrIarD9iGwGObJtOL+BCkWGVZUe5NQYAg9tf324ji/uOEdmDFg9CxhB07tw57NixA76+vnd9Tnp6OqRSKQICAgAAsbGx2Lt3L+rqbsyCSkpKQnR0NLy9vU1tkpOTza6TlJSE2NhYAEBkZCSCgoLM2mi1WqSmppra2BO5kxTTrvcKrdiTzfELZHFXSqtQq9ND7iRFiJer2OW0GuM4ofSLpSjjTE0im9fsIFReXo709HSkp6cDMAxKTk9PR15eHurq6vD444/jyJEjWLNmDXQ6HdRqNdRqNWprDQv+paSkYPHixTh+/Diys7OxZs0avPrqq5gwYYIp5Dz11FOQy+WYMmUKTp06hbVr12LJkiVITEw01fHKK69g27Zt+PDDD5GRkYF58+bhyJEjmDFjBgDD1PKZM2fivffew8aNG3HixAlMnDgRISEhGD169H3+sVmnJ/qFwd9TgculVdhw7LLY5ZCdMw6UjvB1g0wqEbma1hPq7YYIXzfo9AJSs4vFLoeI7ldzp6Tt2rVLAHDLMWnSJCEnJ6fRcwCEXbt2CYIgCGlpaUJMTIygUqkEFxcXoXPnzsL7778vVFdXm73O8ePHhSFDhggKhUJo06aNsGDBgltqWbdundCxY0dBLpcLXbt2FTZv3mx2Xq/XC2+99ZYQGBgoKBQKYfjw4UJmZmaT36stTJ+/2co9hum9DyzcKdTV68Quh+zYV/uyhfDZm4QXvj0sdimtbs5/fxPCZ28S5m08KXYpRNSI5vz8lgiCwLXib0Or1UKlUkGj0djMeKGKmnoM+WAnSirrsGRsLzzWq43YJZGdmvvzSXybcgHTHmiHN0Z1ErucVrXlxFX8Zc1RdAz0wC+vPiB2OUR0k+b8/OZeY3bGXeGEKUMiAQBLd57nnkhkMTkOtoZQQ7FRvpBIgLP55SjQ2sdK9USOikHIDk0cFAFPFyecKyjHL6cbXzOJ6H5lFxqnzjteEPJ2l6NriOG3zAOcPUZk0xiE7JDSxRnPDIoAAHyy8zx495NaWnWdDlc0VQAcZzHFmxlnj+3jekJENo1ByE5NHhwJN7kMp65osTuzUOxyyM5cKKqEIABKFyf4usvv/gQ7NKT9jYUV+csGke1iELJTPu5yTBgYDgD4eOc5flBTizJtreHvAYnEcabON9Q/wgdyJymuaqpNSwkQke1hELJjzw2NhNxJimN5pUjhOAZqQY622WpjXJxl6NvWsPbZAd4eI7JZDEJ2LMDTBeP6GzaO/WTneZGrIXti2mPMgYMQAAzpwHFCRLaOQcjOvfBAOzjLJEjJLsKRXK6CSy2DQcjAOGA6JasIOi5VQWSTGITsXBsvV4zpEwoAWLqLvULUMhiEDLq3UcHTxQna6nqcvKwRuxwiugcMQg7gxQfbQSoBdmcW4sQlfljT/SmtrEVxhWHvQEcPQjKpBLFRho2leXuMyDYxCDmAcF9301YbS3edE7kasnXGgdJBShe4K5xErkZ8xnFC+xmEiGwSg5CD+MuD7SCRANtP5SNTXSZ2OWTDcgp5W6yhQe0MQejIhRJU1+lEroaImotByEF0CPTEqG5BADhWiO6PaXyQA26t0Zh2/u4IUrqgtl6PI7klYpdDRM3EIORApj/UHgCw6bcryLq+IB5RcznyZquNkUgk3G6DyIYxCDmQriEqDO8UAEEAPt2dJXY5ZKOyOWPsFoPbGwZMH8hiECKyNQxCDmbGw4ZeoZ+OXcbF4kqRqyFbo9cLyDX2CPl7iFyN9TD2CJ24rEFpZa3I1RBRczAIOZjebb0xtIMfdHoBK/awV4iaR62tRlWdDk5SCUK9XcUux2oEKl3QIcADggBuZ0NkYxiEHNCM62OF1h+5BLWmWuRqyJYYxwe19XGDs4wfHw0Ze4X28/YYkU3hJ5kDionyxYAIH9Tq9Fi5N1vscsiGcHzQ7ZmC0Hn2CBHZEgYhB2UcK/T9oQu4Vl4jcjVkK7iG0O3FRPlAJpUg51oFLpdWiV0OETURg5CDGtrBDz1DVaiu0+PLfTlil0M2IueaYdkFDpS+ldLFGT1CVQC4yjSRLWEQclASiQQzHu4AAPj2QC5nulCTcLPVOxvSntttENkaBiEHNrxTADoFeaKiVodVB3LFLoesXG29HhdLDLd8oriqdKMajhMSBEHkaoioKRiEHJhUKjGNFfp6fy7KqutEroisWV5xJXR6AW5yGQI8FWKXY5V6t/WCi7MU18prcDafq7cT2QIGIQc3qlswovzdoamqw+qDeWKXQ1as4W0xiUQicjXWSeEkw4BIwyrT3G6DyDYwCDk4mVSC6Q8aeoW++DUbVbXcPZsaZxwozfFBdzbk+nYbHCdEZBsYhAh/6BWCMB9XFFXU4odD7BWixuVwa40mGdTOME4oNbsIdTq9yNUQ0d0wCBGcZVK8+IChV+izvVmoqWevEN0qq5C7zjdFl2AlvN2cUVGrw/GLpWKXQ0R3wSBEAIAxfdsgSOmCfG0N/p12SexyyApx6nzTSKUSDLo+e4zjhIisH4MQATAM8pz6QBQA4NPdWezSJzNl1XUoLDOsQB7BIHRXXE+IyHY0Owjt3bsXjz76KEJCQiCRSLBhwwaz84IgYO7cuQgODoarqyvi4uJw7tw5szbFxcUYP348lEolvLy8MGXKFJSXm081/e233zB06FC4uLggLCwMCxcuvKWW9evXo1OnTnBxcUH37t2xZcuWZtdCN4zt3xZ+HnJcKqnCz+lXxC6HrEjutUoAgJ+HHCpXZ5GrsX6Dr48TOpZXioqaepGrIaI7aXYQqqioQM+ePbFs2bJGzy9cuBAff/wxVqxYgdTUVLi7uyM+Ph7V1Td2OR8/fjxOnTqFpKQkbNq0CXv37sULL7xgOq/VajFixAiEh4cjLS0NixYtwrx587By5UpTmwMHDmDcuHGYMmUKjh07htGjR2P06NE4efJks2qhG1zlMjw31NArtHzXeej0XBCODLI5Y6xZ2vq6IczHFfV6AYdyisUuh4juRLgPAISffvrJ9LVerxeCgoKERYsWmR4rLS0VFAqF8MMPPwiCIAinT58WAAiHDx82tdm6dasgkUiEy5cvC4IgCMuXLxe8vb2FmpoaU5vZs2cL0dHRpq+feOIJISEhwayemJgYYerUqU2u5W40Go0AQNBoNE1qbw/KquuEHvO2C+GzNwkb0y+LXQ5ZiY+SMoXw2ZuE19cfF7sUm/HGf44L4bM3Ce/875TYpRA5nOb8/G7RMUI5OTlQq9WIi4szPaZSqRATE4OUlBQAQEpKCry8vNCvXz9Tm7i4OEilUqSmppraDBs2DHK53NQmPj4emZmZKCkpMbVp+DrGNsbXaUotdCsPhROeHRwJAFi68zz07BUiANnGXee5tUaTGafRc5wQkXVr0SCkVqsBAIGBgWaPBwYGms6p1WoEBASYnXdycoKPj49Zm8au0fA1btem4fm71XKzmpoaaLVas8MRPTMoAh4KJ2Tml2HHmXyxyyErwBljzTeonWFhxQx1mWmgORFZH84aa2D+/PlQqVSmIywsTOySRKFyc8bE2HAAwNJd57l5pIMTBOHGYooMQk3m66FAl2AlAGB3ZoHI1RDR7bRoEAoKCgIA5Oeb9yLk5+ebzgUFBaGgwPxDob6+HsXFxWZtGrtGw9e4XZuG5+9Wy83mzJkDjUZjOi5evNiEd22fpgyJhIuzFL9d0mDvOXbtO7LC8hqU19RDIjEMAqamG9nN8FmzdNd5LlRKZKVaNAhFRkYiKCgIycnJpse0Wi1SU1MRGxsLAIiNjUVpaSnS0tJMbXbu3Am9Xo+YmBhTm71796Ku7sZu6ElJSYiOjoa3t7epTcPXMbYxvk5TarmZQqGAUqk0OxyVr4cC42MMvUKfJJ9jr5ADy7k+PijU2xUKJ5nI1diWKUMi4e+pwIWiSnyXckHscoioEc0OQuXl5UhPT0d6ejoAw6Dk9PR05OXlQSKRYObMmXjvvfewceNGnDhxAhMnTkRISAhGjx4NAOjcuTNGjhyJ559/HocOHcL+/fsxY8YMjB07FiEhIQCAp556CnK5HFOmTMGpU6ewdu1aLFmyBImJiaY6XnnlFWzbtg0ffvghMjIyMG/ePBw5cgQzZswAgCbVQnf2wrAoyGVSHLlQglROAXZYN26LcY+x5nJXOOG1ER0BAEuSz6G4olbkiojoFs2dkrZr1y4BwC3HpEmTBEEwTFt/6623hMDAQEGhUAjDhw8XMjMzza5RVFQkjBs3TvDw8BCUSqUwefJkoayszKzN8ePHhSFDhggKhUJo06aNsGDBgltqWbdundCxY0dBLpcLXbt2FTZv3mx2vim13IkjTp+/2d9++k0In71JGP/5QbFLIZH8Y/NpIXz2JuHtn0+KXYpNqtfphfiP9vDPkKgVNefnt0QQeM/jdrRaLVQqFTQajcPeJrtYXImH/rkb9XoB//3LIPRp6y12SdTKnvvmCHacycc7j3XFxNgIscuxSfvOXcOEL1Mhk0qwfeYwtA9g7xqRJTXn5zdnjdEdhfm44Y+92wAAlu08L3I1JIYcrip934Z08MPwTgHQ6QUs2HpG7HKIqAEGIbqrFx9sB6kESM4owMnLGrHLoVZUr9Mjr9iwzxiD0P2Z8/vOkEkl2HGmgIssElkRBiG6qyh/DzzSwzCQfdku9go5ksulVajTCVA4SRGichW7HJvWPsADE2LaAgDe23yGe/kRWQkGIWqS6Q+1BwBsPanG2fwykauh1pLdYEVpqVQicjW275W4jvB0ccKZq1r8J+2S2OUQERiEqImigzwR39WwXcly9go5DNMeY7wt1iJ83OV4+eEOAIBFv2SioqZe5IqIiEGImmzGQ4YP8I3HryD3ek8B2TcOlG55EweFo62PGwrLavDZniyxyyFyeAxC1GTdQ1V4MNofegH4dDc/wB0BN1tteQonGeaM6gQAWPlrNq6UVolcEZFjYxCiZnnpYcNYof8cvYTL/AC3e8btNaL8GYRa0shuQegf4Y3qOj3+uT1T7HKIHBqDEDVL33AfxEb5ol4vsFvfzlXV6nBFUw2A22u0NIlEgjcTugAA/nvsMn67VCpuQUQOjEGImu2l4YZeoR8PX0SBtlrkashScosMvUFebs7wdpeLXI396RnmZVqs9L1NZ7ixMZFIGISo2WKjfNE33Bu19Xp8/mu22OWQhXDGmOXNio+Gi7MUh3KLsf2UWuxyiBwSgxA1m0QiwYzrY4VWH8zjjtp2ijPGLC/EyxUvDI0CAMzfmoGaep3IFRE5HgYhuicPdvRHtzZKVNXp8NW+HLHLIQswLqYYxSBkUVMfaAd/TwUuFFXiu5QLYpdD5HAYhOieSCQS07pC3xzIRQl7hezOjanzHChtSe4KJ8waEQ0AWJJ8jj2sRK2MQYju2YgugegcrERZTT2WcrVpu2MMQpw6b3lj+oYa/i1V1+Pj5HNil0PkUBiE6J5JpRK8cX1huO9SLuDi9V3KyfYVV9SitLIOABDhyyBkaTKpBG8mdAYAfHfwAs4XlItcEZHjYBCi+zKsgx8Gt/dFrU6PD3/hwnD2wjhQOkTlAle5TORqHMPg9n6I6xwAnV7Agq1nxC6HyGEwCNF9kUgkeGOk4TfZDelXcPKyRuSKqCWYps7ztlirmvP7znCSSrDjTAH2n78mdjlEDoFBiO5b91AVHusVAgBYsDVD5GqoJXCPMXG08/fAhIHhAID3Np+BTs9FFoksjUGIWsRrI6Ihl0mx7/w17D1bKHY5dJ84Y0w8rwzvAKWLE85c1eI/aZfELofI7jEIUYsI83Ez/SY7f2sG9PxN1qZxxph4vN3leHm4YWmKRb9koqKmXuSKiOwbgxC1mBkPt4enwvCb7Ib0y2KXQ/dIrxduBCHeGhPF07HhCPd1Q2FZDTc3JrIwBiFqMT7ucrz4UDsAwIe/nEV1HbcLsEVXNFWoqdfDWSZBGy9XsctxSAonGeZcX5pi5a/ZuFJaJXJFRPaLQYha1LODIxGkdMHl0ipuF2CjjL1BbX3c4CTjR4RY4rsGYUCED6rr9Pjndi5NQWQp/JSjFuXiLEPi7zoCAJbuOg/N9UX5yHZwoLR1kEgkePMRw9IU/z12Gb9dKhW3ICI7xSBELW5M31B0DPSApqoOy3dz6w1bY1xDiAOlxdcj1At/6t0GAPDepjMQBE5CIGppDELU4mQNtt74+kAuLnN8g03hQGnr8lp8NFycpTiUW4ztp9Ril0NkdxiEyCIeig5ATKQPauv1+NcvZ8Uuh5oh+/r2GlxM0TqEeLnihaFRAAxLU9TUcxICUUtiECKLkEgkmPN74/iGSzhzVStyRdQUNfU6XCox9OBxew3rMfWBdvD3VOBCUSUnIRC1MAYhspheYV5I6B4MQeDWG7Yir6gSggB4KJzg76EQuxy6zl3hhFkjogEAS5LPobiiVuSKiOwHgxBZ1Kz4aDhJJdhzthAHuImk1ctusMeYRCIRuRpqaEzfUHQOVqKsuh4fJ58Tuxwiu9HiQSgiIgISieSWY/r06QCABx988JZz06ZNM7tGXl4eEhIS4ObmhoCAAMyaNQv19ebLzO/evRt9+vSBQqFA+/btsWrVqltqWbZsGSIiIuDi4oKYmBgcOnSopd8u3UWEnzvGx7QFwK03bAE3W7VeMqkEbyYYbjd/d/ACzheUi1wRkX1o8SB0+PBhXL161XQkJSUBAP785z+b2jz//PNmbRYuXGg6p9PpkJCQgNraWhw4cADffPMNVq1ahblz55ra5OTkICEhAQ899BDS09Mxc+ZMPPfcc9i+fbupzdq1a5GYmIi3334bR48eRc+ePREfH4+CgoKWfst0Fy8N7wB3uQwnLmuw6cRVscuhO8jh1HmrNri9H+I6B0CnFzB/yxmxyyGyCy0ehPz9/REUFGQ6Nm3ahHbt2uGBBx4wtXFzczNro1QqTed++eUXnD59GqtXr0avXr0watQovPvuu1i2bBlqaw33xVesWIHIyEh8+OGH6Ny5M2bMmIHHH38cH330kek6//rXv/D8889j8uTJ6NKlC1asWAE3Nzd89dVXLf2W6S78PBSY+oBh641F2znrxZpxxpj1m/P7znCSSpCcUYB953i7meh+WXSMUG1tLVavXo1nn33WbLzBmjVr4Ofnh27dumHOnDmorKw0nUtJSUH37t0RGBhoeiw+Ph5arRanTp0ytYmLizN7rfj4eKSkpJheNy0tzayNVCpFXFycqU1jampqoNVqzQ5qGc8NjYS/pwIXi6uw5mCe2OXQbdxYQ4irSlurdv4emDAwHADw3ubT0PF2M9F9sWgQ2rBhA0pLS/HMM8+YHnvqqaewevVq7Nq1C3PmzMF3332HCRMmmM6r1WqzEATA9LVarb5jG61Wi6qqKly7dg06na7RNsZrNGb+/PlQqVSmIyws7J7eN93KTe6EV+MMW298svMctNXcesPaaKrqcK3c0Osa4ecmcjV0J68M7wClixMy1GX4d9pFscshsmkWDUJffvklRo0ahZCQENNjL7zwAuLj49G9e3eMHz8e3377LX766SdkZWVZspQmmTNnDjQajem4eJEfMC3piX6haOfvjpLKOny2R/zvN5nLvd4b5O+pgKeLs8jV0J14u8vx8vAOAIB//nIW5TX1d3kGEd2OxYLQhQsXsGPHDjz33HN3bBcTEwMAOH/esCdVUFAQ8vPzzdoYvw4KCrpjG6VSCVdXV/j5+UEmkzXaxniNxigUCiiVSrODWo6TTIrXRxq23vhyXw7UmmqRK6KGOGPMtjwdG45wXzcUltXwFwui+2CxIPT1118jICAACQkJd2yXnp4OAAgODgYAxMbG4sSJE2azu5KSkqBUKtGlSxdTm+TkZLPrJCUlITY2FgAgl8vRt29fszZ6vR7JycmmNiSOEV0C0S/cG9V1enyUxK03rIlxDaF2nDFmExROMsy5vqffyr3ZuMI9/YjuiUWCkF6vx9dff41JkybBycnJ9HhWVhbeffddpKWlITc3Fxs3bsTEiRMxbNgw9OjRAwAwYsQIdOnSBU8//TSOHz+O7du3480338T06dOhUBhWup02bRqys7Px+uuvIyMjA8uXL8e6devw6quvml4rMTERn3/+Ob755hucOXMGL774IioqKjB58mRLvGVqIsPWG4YP7/VpF3Euv0zkisgou5AzxmxNfNcgDIjwQU29Hou2Z4pdDpFNskgQ2rFjB/Ly8vDss8+aPS6Xy7Fjxw6MGDECnTp1wl//+leMGTMG//vf/0xtZDIZNm3aBJlMhtjYWEyYMAETJ07EO++8Y2oTGRmJzZs3IykpCT179sSHH36IL774AvHx8aY2Tz75JP75z39i7ty56NWrF9LT07Ft27ZbBlBT6+sb7oP4roHQC8AH27j1hrW4cWuMM8ZshUQiwZuPGBZZ/OnYZRy/WCpuQUQ2SCIIAude3oZWq4VKpYJGo+F4oRaWVViOER/thU4vYO0LAxET5St2SQ5NEAR0fXs7Kmt12JH4ANoHMAzZksS16fjvscvoH+GNdVNjuT0KObzm/PzmXmMkinb+Hhjb37A8wfytGWAeF1dBWQ0qa3WQSSVo68Op87bmtfhouDhLcTi3BNtO3n6JECK6FYMQieaVuA5wk8uQfrEUW/nhLars61trhHm7Qu7EjwVbE+LliheGRgEw/GLB1duJmo6feCSaAE8XPHf9w3vhtgzU6fQiV+S4uLWG7Zv6QDsEeCqQV1yJbw9cELscIpvBIESiemFYFPw85MgtqsQPh7j1hliMm61yoLTtclc44bX4aADAxzvPobiiVuSKiGwDgxCJykPhhFeur5C7ZMc5rpArEtOMMa4hZNPG9AlFl2AlyqrrsWQH1+kiagoGIRLd2AFtEennjqKKWqzcmy12OQ7pxmarDEK2TCaV4M0Ew3T61al5OF9QLnJFRNaPQYhE5yyTYtb1Lv0vfs1GgZZbb7SmOp0eecWVADhGyB4Mau+HuM6B0OkFzN9yRuxyiKwegxBZhVHdgtArzAuVtTosTj4ndjkO5VJJFer1AlydZQhSuohdDrWAOb/vBCepBMkZBdh37prY5RBZNQYhsgoSicS0b9LawxeRVcgu/dZi3Fojws8dUikX4rMH7fw9MGFgOADgvc2nodNznS6i22EQIqsRE+WLuM4B0OkFLOTWG62G44Ps0yvDO0Dp4oQMdRn+nXZR7HKIrBaDEFmV2SM7QSoBtp/KR9qFYrHLcQjZpj3GGITsibe7HC9fn5H5z1/OckYm0W0wCJFV6RDoiSf6GbbeeH8Lt95oDTfWEGIQsjcTYyMQ4euGwrIafLYnS+xyiKwSgxBZnVd/1xEuzlKkXSjBL6fzxS7H7nENIfsld5LijVGG6fQr92bjSmmVyBURWR8GIbI6gUoXTBkSCcCw9UY9t96wmIqaeqivL1fAMUL2Kb5rIAZE+qCmXo9F2zPFLofI6jAIkVWa+kA7eLs5I6uwAuuOXBK7HLtl7A3ycZfDy00ucjVkCRKJBG8ldAEA/HTsMo5fLBW3ICIrwyBEVknp4mwa6PnRjrOorOVAT0vI4UBph9A9VIU/9WkDwDCdnmPviG5gECKrNT4mHG19DAM9v/g1R+xy7BKDkOOYFR8NF2cpDueWYNtJtdjlEFkNBiGyWnInqWk37c/2ZOFaeY3IFdkfBiHHEaxyxQvD2gEA5m/NQE29TuSKqDkKy2qw79w1fPFrNl7/93GM/+Ig1h7OE7ssu+AkdgFEd/JI92B8vjcbJy5r8EnyOfz9sW5il2RXsrmYokOZOiwKPx7KQ15xJb49cAHPD4sSuyS6SUVNPc7mlyFTXYYMteG/Z/PLUFRRe0vb/eeLcFVTjVeGd4BEwlXh7xWDEFk1qVSCOb/vhKc+T8Wa1Dw8MziSvRctRBAE5FzfXiPK30Pkaqg1uCuc8Fp8NF7/92/4eOc5jOkbCh93DpIXQ51Oj5xrFchQl+GsMfTka3GxuPElDiQSIMLXHdGBnugY5ImKmnp8uS8Hi3ecQ3l1Pf6W0Jlh6B4xCJHVG9TODw9G+2N3ZiH+uT0Ty8b3Ebsku1BUUQttdT0kEiDc103scqiVjOkTilX7c3H6qhZLdpxlL6uFCYKAK5pqZKq1ph6eTHUZsgsrUHubpUH8PRXoFOSJ6EBPRAcZjg4BnnCVy8zahXm7Yt7/TuOLfTkor6nHP/7YHTLuF9hsDEJkE2aP7IQ9Zwux+cRVPH+xFL3CvMQuyeYZxweFqFzh4iy7S2uyFzKpBG8mdMZTX6RidWoeno6NQPsA9gi2hNLKWkMPT36D21rqMpTdZnsTD4UTOgZ6IDpIiWjjf4M8m9xL98zgSHi4OOP1fx/Hj4cvorymHv96ohfkThz+2xwMQmQTOgcr8afeofjP0UuYv+UMfnxhILuB75Nxa40orijtcAa190Nc50DsOJOP+VvO4Mtn+otdkk2prtPhfEH59bCjRWZ+OTLVWuRrG5/Q4SSVoJ2/h6l3p1OQJzoGeiLU2/W+P8ce7xsKd7kML/94DJt+u4rKWh2Wj+/DX26agUGIbMZfR3TE/367gtScYuzMKMDwzoFil2TTuNmqY5vz+07YnVmA5IwC7Dt3DUM6+IldktXR6QXkFVea39bKL0PutQrob7MUU6i3qynoGEKPEpF+7hbtpRnVPRhfKJww9bsj2JlRgElfHcKXz/SHh4I/4puCf0pkM0K8XDF5cAQ+25OND7Zl4MHoAN4Pvw851wwDpRmEHFM7fw9MGBiOVQdy8d7m09j88lCH/fckCAIKy2puua11rqAM1XWNj+PxdnM2BZ3o68GnY6AHPF2cW7l6gwc6+uPbZ2MwZdVhpOYUY/wXqfhmcn+uGN8EDEJkU/7yQHv8eOgizuaX4z9pl/BE/zCxS7JZxjFCnDHmuF4Z3gH/PXoJGeoy/DvtIp7s31bskiyuvKbeNGDZcFvL8P8llXWNtndxll4POYZbWsbbW/4eCqu7PT8g0gffPz8QE79KxfGLpXjys4P4bsoABChdxC7NqjEIkU1RuTljxkPt8Y8tZ/CvpLN4tGfILTMp6O50egG5RZUAuIaQI/N2l+Pl4R3w3uYz+OcvZ5HQI8TubqcIgoBzBeXYcSYfyWcKcDSvBI3tMCKVABF+7tdnaykRHWQYvNzWx82mesq6h6qwbmosJnyZisz8MjzxWQpWPxeDUG/ODL0d+/obTw7h6VhDd/7l0ip8tT8H0x9qL3ZJNudKaRVq6/WQy6QI8XIVuxwS0cTYCKw+eAG5RZX4bE8W/joiWuyS7lttvR6HcooN4Scj/5a1eYKULuh4fdCycYp6+wAPuxlg3CHQE+unDsL4Lw8it6gSf15hCEPt2PvbKAYhsjkuzjK8Ft8Rr649jhW7szBuQFsuCtdMxoHS4b629dsutTy5kxRvjOqMaavTsHJvNsYNaGuT4bi4oha7MgqwM6MAe88Wmk1ZlztJMaidL4Z3DsTwTgE2+f6aq62vG9ZPHYQJX6bifEE5nliRgm+nDEDXEJXYpVkdBiGySY/1bIPP9+bg9FUtlu48j7mPdhG7JJtiXFGaA6UJAOK7BmJApA8O5RRj0fZMfPRkL7FLuitBEHC+oBw7zhQg+Uw+juaVmM3k8vNQYHinAAzvHIAhHfzgJne8H3dBKhesmxqLiV+l4uRlLcauPIhVkwegb7i32KVZFcf7m0F2QSqV4I1RnTDxq0P47mAuJg+OQJgP74E3lWmzVa4hRAAkEgneSuiCR5fuw0/HLmPSoAirXLS04S2vnRkFyCuuNDvfOViJuM4BGN45ED3aqCBlbyd83OX4/vmBmLLqMA7nluDpL1Ox8ul+XC6hgRZf2GDevHmQSCRmR6dOnUznq6urMX36dPj6+sLDwwNjxoxBfn6+2TXy8vKQkJAANzc3BAQEYNasWaivN1+Zc/fu3ejTpw8UCgXat2+PVatW3VLLsmXLEBERARcXF8TExODQoUMt/XZJRMM6+mNoBz/U6QQs2p4pdjk2xXhrrJ0fxwyQQfdQFf7Upw0A4L1NpyE0NqJYBMUVtfjv0UuYvuYo+r6bhAlfpmLVgVzkFVdC7iTFg9H+ePexrtj/xsPY+spQ/HVENHqFeTEENaB0cca3z8ZgWEd/VNbq8Oyqw/jllFrssqyGRXqEunbtih07dtx4EacbL/Pqq69i8+bNWL9+PVQqFWbMmIE//elP2L9/PwBAp9MhISEBQUFBOHDgAK5evYqJEyfC2dkZ77//PgAgJycHCQkJmDZtGtasWYPk5GQ899xzCA4ORnx8PABg7dq1SExMxIoVKxATE4PFixcjPj4emZmZCAgIsMTbJhHMHtkJv57bh43Hr+D5oVHoHsr7302RXcgeIbrVrPhobDlxFUculGDrSTV+3z241Wu4+y0vOR7uZOj1GdLeD+52NsvNUlzlMnw+sS9m/piOrSfVeHHNUXz4554Y3buN2KWJTiK0cOyfN28eNmzYgPT09FvOaTQa+Pv74/vvv8fjjz8OAMjIyEDnzp2RkpKCgQMHYuvWrXjkkUdw5coVBAYaVg5esWIFZs+ejcLCQsjlcsyePRubN2/GyZMnTdceO3YsSktLsW3bNgBATEwM+vfvj6VLlwIA9Ho9wsLC8NJLL+GNN95o0nvRarVQqVTQaDRQKpX388dCFjTzx2PYkH4Fg9v7YvWUGKtb28PaVNfp0HnuNggCcOTNOPh5KMQuiazIv5LO4uPkcwjzccWOxAegcLL8TKraej0O5xabprg3dsvLON6nZyh7e+5HvU6P2f85gf8cvQSJBHj3sW6YMDBc7LJaXHN+fltkze9z584hJCQEUVFRGD9+PPLy8gAAaWlpqKurQ1xcnKltp06d0LZtW6SkpAAAUlJS0L17d1MIAoD4+HhotVqcOnXK1KbhNYxtjNeora1FWlqaWRupVIq4uDhTm8bU1NRAq9WaHWT9/joiGnKZFPvPF2HvuWtil2P1LhRVQhAATxcn+HK2Hd1k6rAoBHgqcLG4Ct8cyLXY65TcdMtr/Bep+Hr/9VteMike6Gh+y+u1+Gj0buvNEHSfnGRSLHq8B54ZFAFBAN7ccBIr9mSJXZaoWrxPMSYmBqtWrUJ0dDSuXr2Kv//97xg6dChOnjwJtVoNuVwOLy8vs+cEBgZCrTbcr1Sr1WYhyHjeeO5ObbRaLaqqqlBSUgKdTtdom4yMjNvWPn/+fPz973+/p/dN4gnzccPE2HB8sS8H87ecwZD2fpwSfgfGrTWi/NzZe0a3cFc4YVZ8NGb9+zd8knweY/qEwrcFeg0FQUBW4Y1bXmkXbr3l9VC04ZbX0A685WVJUqkEbz/aBR4KJyzddR4LtmagrLoOr42IdsjPhBb/mzZq1CjT//fo0QMxMTEIDw/HunXr4Opq3Ws3zJkzB4mJiaavtVotwsK4hYMtmP5Qe6w9chEZ6jJsOHYZY/qGil2S1crm1hp0F2P6hGLVgVycuqLFkuRzeOexbvd0nbvd8uoU5Im4zoF4uHMAevGWV6uSSCR4LT4aHi5OWLA1A8t2ZaG8uh5vP9rV4b4PFo/cXl5e6NixI86fP4/f/e53qK2tRWlpqVmvUH5+PoKCggAAQUFBt8zuMs4qa9jm5plm+fn5UCqVcHV1hUwmg0wma7SN8RqNUSgUUCg4XsIWebvL8ZcH2+ODbRn4V9JZJPQItptVYluaaaA01xCi25BKJfhbQmc89Xkq1qTmYWJsONoHeDbpuSUVtdh9tgA7zhRgb+ZNCxvKpBjYzhdxnQPwcKcAbvtgBaY90A4eCie89fNJfJNyAeU1OnwwpjucZBYZOWOVLP5Oy8vLkZWVheDgYPTt2xfOzs5ITk42nc/MzEReXh5iY2MBALGxsThx4gQKCgpMbZKSkqBUKtGlSxdTm4bXMLYxXkMul6Nv375mbfR6PZKTk01tyP5MHhyBYJULLpdW4duUXLHLsVqmNYQYhOgOBrXzw++6BEKnF/D+ltsPKTDM8irDij1ZeGJFCvq+l4RX1x7H5t+uoqymHr7ucjzeNxQrJvTB0bm/w7fPDsDE2AiGICsyYWA4PnqiF2RSCf5z9BJmfH8MNfU6sctqNS3eI/Taa6/h0UcfRXh4OK5cuYK3334bMpkM48aNg0qlwpQpU5CYmAgfHx8olUq89NJLiI2NxcCBAwEAI0aMQJcuXfD0009j4cKFUKvVePPNNzF9+nRTb820adOwdOlSvP7663j22Wexc+dOrFu3Dps3bzbVkZiYiEmTJqFfv34YMGAAFi9ejIqKCkyePLml3zJZCRdnGRJ/1xGz/v0blu48jyf6hcHLjYOBb8YgRE01Z1Qn07YVv54rxNAO/gCAOp0eh3OKDeN9MvJxoejWW17Dry9s2DPUi2P2bMDo3m3gJpdhxvfHsO2UGs9/m4bPJvR1iE2tWzwIXbp0CePGjUNRURH8/f0xZMgQHDx4EP7+hn9AH330EaRSKcaMGYOamhrEx8dj+fLlpufLZDJs2rQJL774ImJjY+Hu7o5JkybhnXfeMbWJjIzE5s2b8eqrr2LJkiUIDQ3FF198YVpDCACefPJJFBYWYu7cuVCr1ejVqxe2bdt2ywBqsi9/6hOKL/flIENdhuW7s/B/v+8sdklWpbSyFsUVtQAYhOjuovw98HRsOL7en4t/bD6DqQ/U3PGW1/BOhlteXOXdNo3oGoSvnumP5789gr1nCzHxq1R8+Ux/KF2cxS7Nolp8HSF7wnWEbNOujAJMXnUYcicpdr32INo4wAaLTXUsrwR/XH4AgUoFUv8v7u5PIIdXWlmLBxbthqaqzuxxX3c5HuoUgLjOARjSwR8enOVlN9IulGDy14egra5HtzZKfDN5QIvMHGxNoq8jRCSmB6P9MTDKB7X1enz4C7feaMh4WyyKW2tQE3m5yfG36z2r0YGe+MuD7fCfFwfh0N/i8M8/98TIbsEMQXamb7g3fnhhIHzd5Th5WYsnVx6EWlMtdlkWwyBEdkcikWDOKMMH90/HLuP0FS6MacStNehePNE/DOf/MQrbXx2G10d2Qt9wb477sXNdQ1RYNy0WwSoXnC8ox58/O4C8m8aC2QsGIbJLPcO88EiPYAgCsGDb7We8OJobPUIMQtQ8jjSdmgza+Xtg/bRYRPi64WJxFR5fcQDn8svELqvF8W822a1Z8dFwlkmw92wh9p/n1hvAjcUUOVCaiJoi1NsN66bFIjrQEwVlNXjisxScuKQRu6wWxSBEdivc1x3jYwybCc7fegZ6vWPPC9DrBeQyCBFRMwV4umDt1IHoGeaFkso6jPv8IA7lFItdVothECK79tLD7eGhcMLJy1r877crYpcjqvyyalTV6eAklXB6MxE1i5ebHGuei8HAKB+U19Rj4lep2J1ZcPcn2gAGIbJrvh4KTHsgCgCwaHumQ62WerOc6wOl2/q4wZnjPYiomTwUTlg1eQAe7hSA6jo9nv/2CLacuCp2WfeNn4Zk954dEokATwUulVRh9cE8scsRTRZvixHRfXJxlmHFhL54pEcw6nQCZnx/FOuPXBS7rPvCIER2z03uhMTfdQQALN157paF4RxFDjdbJaIWIHeSYsnY3hjbPwx6AZj179+wan+O2GXdMwYhcgiP9w1F+wAPlFTWYcWeLLHLEUXOtXIAXEOIiO6fTCrB/D91x5QhkQCAef87jaU7z8EWN6tgECKH4CSTYvbITgCAr/bl4KqmSuSKWh83WyWiliSRSPBmQmfMjOsAAPjnL2exYGuGzYUhBiFyGHGdA9A/whs19Xp8lHRW7HJaVW29HhdLDOGP22sQUUuRSCSYGdcRbyYYVvP/bG82/rbhJHQ2tFwJgxA5DIlEgjnX90z6d9olZKrtb4XU28krroROL8BNLkOg0rY2TyQi6/fc0Ch8MKY7JBLg+9Q8JK5LR51OL3ZZTcIgRA6lT1tvjOoWBL0AfOBAW280vC0mkXCPKCJqeU/2b4uPx/aGk1SCn9Ov4MXVR1FdZ/1LljAIkcOZFR8NmVSCnRkFOJhdJHY5rcI0UJrjg4jIgh7tGYKVE/tC4STFjjP5eHbVYVTU1Itd1h0xCJHDifL3wLgBYQCA+TY4sO9ecLNVImotD3cKxKrJA+Aul+FAVhEmfJkKTaX1LlvCIEQO6ZXhHeEml+H4xVJsOaEWuxyLyzauIcSp80TUCmLb+WLN8wOhcnXGsbxSPLkyBYVlNWKX1SgGIXJI/p4KvDDMsPXGwu0ZqK23jUF99+rGGCHOGCOi1tErzAtrpw6En4cCGeoyPPlZCi6XWt/SJQxC5LCeHxoFPw8FLhRV4odD9rv1Rll1HQqu/ybGMUJE1Jo6BSnx72mxaOPliuxrFXhiRYrpFzNrwSBEDstd4YRXri8E9nHyOZRVW+897PuRe60SAODnIYfK1VnkaojI0UT4uWP9tFhE+bnjcmkV/rwiBWeuasUuy4RBiBza2P5hiPJzR1FFLT7fmy12ORaRzRljRCSyEC9XrJsWi87BSlwrr8HYlQdxLK9E7LIAMAiRg3OWSfH6yGgAhhVR/3v0kt3NIuPWGkRkDfw8FPjx+YHo09YLmqo6jP8iFQeyroldFoMQUXzXIAzvFICaej0S1x3Hyz+m29UO9RwoTUTWQuXmjO+mxGBwe19U1urwzNeHseN0vqg1MQiRw5NIJFg5sR9eG9ERMqkE/zt+BaMW77WbxRZNawhx6jwRWQF3hRO+nNQfv+sSiNp6PV758RiKK2pFq4dBiAiATCrBjIc74D8vDkK4rxuuaKox7vODWLjNtqfWC4JgWkOIiykSkbVwcZZh+fg+eLxvKBaP7Q0fd7lotTAIETXQK8wLW14eiif7hUEQgOW7szDm0wPIKiwXu7R7Ulheg/KaekgkQFtfN7HLISIycZZJ8c8/98TvugSKWgeDENFN3BVO+ODxHvh0fB+oXJ1x4rIGj3y8Dz8cyrO5gdQ513uDQr1doXCSiVwNEZH1YRAiuo1R3YOxfeYwDG7vi6o6Heb89wSmfpcm6r3s5uJAaSKiO2MQIrqDIJULvns2Bn/7fWc4yyT45XQ+Ri7ei71nC8UurUm42SoR0Z0xCBHdhVQqwfPDorBh+mC0D/BAQVkNJn51CO/87zSq63Ril3dH2ZwxRkR0Ry0ehObPn4/+/fvD09MTAQEBGD16NDIzM83aPPjgg5BIJGbHtGnTzNrk5eUhISEBbm5uCAgIwKxZs1BfX2/WZvfu3ejTpw8UCgXat2+PVatW3VLPsmXLEBERARcXF8TExODQoUMt/ZbJQXQNUeF/M4ZgYmw4AOCr/TkYvWw/MtVlIld2e9mFXFWaiOhOWjwI7dmzB9OnT8fBgweRlJSEuro6jBgxAhUV5pusPf/887h69arpWLhwoemcTqdDQkICamtrceDAAXzzzTdYtWoV5s6da2qTk5ODhIQEPPTQQ0hPT8fMmTPx3HPPYfv27aY2a9euRWJiIt5++20cPXoUPXv2RHx8PAoKClr6bZODcJXL8M5j3fDlpH7wdZcjQ12GR5fuw6r9OVY3kLpep0desWGfMQYhIqLGSQQLf3oXFhYiICAAe/bswbBhwwAYeoR69eqFxYsXN/qcrVu34pFHHsGVK1cQGGiYVrdixQrMnj0bhYWFkMvlmD17NjZv3oyTJ0+anjd27FiUlpZi27ZtAICYmBj0798fS5cuBQDo9XqEhYXhpZdewhtvvHHX2rVaLVQqFTQaDZRK5f38MZAdKiyrwev/Po5dmYbxQg909MeiP/dAgKeLyJUZXCiqwAOLdkPuJEXGOyMhlUrELomIqFU05+e3xccIaTQaAICPj4/Z42vWrIGfnx+6deuGOXPmoLKy0nQuJSUF3bt3N4UgAIiPj4dWq8WpU6dMbeLi4syuGR8fj5SUFABAbW0t0tLSzNpIpVLExcWZ2tyspqYGWq3W7CC6HX9PBb56pj/eeawrFE5S7DlbiJGLfxV9uXgj4/igSF93hiAiotuwaBDS6/WYOXMmBg8ejG7dupkef+qpp7B69Wrs2rULc+bMwXfffYcJEyaYzqvVarMQBMD0tVqtvmMbrVaLqqoqXLt2DTqdrtE2xmvcbP78+VCpVKYjLCzs3t88OQSJRIKJsRH430tD0CnIE8UVtXju2yN4c8MJVNWKO5DauIYQb4sREd2ekyUvPn36dJw8eRL79u0ze/yFF14w/X/37t0RHByM4cOHIysrC+3atbNkSXc0Z84cJCYmmr7WarUMQ9QkHQM98fOMwfjn9kx8/msOVh/MQ0pWEZaM7Y1ubVSi1MQ9xoiI7s5iPUIzZszApk2bsGvXLoSGht6xbUxMDADg/PnzAICgoCDk55vfXjB+HRQUdMc2SqUSrq6u8PPzg0wma7SN8Ro3UygUUCqVZgdRUymcZPhbQhesnhKDAE8Fsgor8Mfl+/HZnizo9a0/kDr7GmeMERHdTYsHIUEQMGPGDPz000/YuXMnIiMj7/qc9PR0AEBwcDAAIDY2FidOnDCb3ZWUlASlUokuXbqY2iQnJ5tdJykpCbGxsQAAuVyOvn37mrXR6/VITk42tSGyhCEd/LB95jDEdw1EnU7A/K0ZmPBlKq5qqlq1DuOtMfYIERHdXosHoenTp2P16tX4/vvv4enpCbVaDbVajaoqww+BrKwsvPvuu0hLS0Nubi42btyIiRMnYtiwYejRowcAYMSIEejSpQuefvppHD9+HNu3b8ebb76J6dOnQ6FQAACmTZuG7OxsvP7668jIyMDy5cuxbt06vPrqq6ZaEhMT8fnnn+Obb77BmTNn8OKLL6KiogKTJ09u6bdNZMbbXY4VE/rigzHd4eosw4GsIoxc/Cu2nLjaKq9fVavDFU01AG6vQUR0R0ILA9Do8fXXXwuCIAh5eXnCsGHDBB8fH0GhUAjt27cXZs2aJWg0GrPr5ObmCqNGjRJcXV0FPz8/4a9//atQV1dn1mbXrl1Cr169BLlcLkRFRZleo6FPPvlEaNu2rSCXy4UBAwYIBw8ebPJ70Wg0AoBbaiNqjuzCcuEPn/wqhM/eJITP3iS8ti5dKKuuu/sT78PpKxohfPYmoce87YJer7foaxERWZvm/Py2+DpCtozrCFFLqdPpsWTHOSzbfR6CAIT7uuGjJ3uhT1tvi7zelhNX8Zc1R9ErzAsbpg+2yGsQEVkrq1pHiIgAZ5kUr8VHY+0LsWjj5YoLRZX484oUfJx8DvU6fYu/nnFrDY4PIiK6MwYholY0INIHW14Zij/0DIFOL+BfSWcxduVBXCyuvPuTmyGbu84TETUJgxBRK1O5OuPjcb2x+Mle8FQ44ciFEoxa8it+OnapxfYrM64hxIHSRER3xiBEJJLRvdtgyytD0S/cG+U19Xh17XG88mM6NFV1933tG0GIPUJERHfCIEQkojAfN/z4wkD89XcdIZNKsPH4Ffx+ya9IzS6652uWVNSitNIQpiL83FqqVCIiu8QgRCQyJ5kULw3vgH9Pi0W4rxsul1Zh7OcHsWh7BuruYSC1cXxQsMoFbnKL7qJDRGTzGISIrETvtt7Y/PJQPNEvFIIALNuVhTGfHjDd5moqzhgjImo6BiEiK+KhcMLCx3ti+fg+ULk647dLGvx+ya/48VBekwdSc3wQEVHTMQgRWaHfdw/GtplDMaidL6rqdHjjvycwbXUaSipq7/pczhgjImo6BiEiKxWscsXqKTH4v993grNMgu2n8jFyyV7sO3ftjs/L4RpCRERNxiBEZMWkUgleGNYOP/1lMNr5uyNfW4MJX6bivU2nUVOvu6W9Xi/w1hgRUTMwCBHZgG5tVNj00lA8PTAcAPDFvhw8tnQ/zuaXmbW7qq1GTb0ezjIJQr1dxSiViMimMAgR2QhXuQzvju6GLyf1g6+7HBnqMjz6yT58cyDXNJDaOGOsrY8bnGT8501EdDf8pCSyMcM7B2LbzGF4MNofNfV6vL3xFJ5ddRiFZTUcKE1E1EwMQkQ2yN9Tga+f6Y+//6Er5E5S7MosxMjFe7Ex/QoAriFERNRUDEJENkoikWDSoAhsemkIOgV5oqiiFkculADgQGkioqZiECKycR0DPbFh+mBMGRJp9hgREd0dNyIisgMuzjK89UgXjOwWhJzCCvRp6yV2SURENoFBiMiO9I/wQf8IH7HLICKyGbw1RkRERA6LQYiIiIgcFoMQEREROSwGISIiInJYDEJERETksBiEiIiIyGExCBEREZHDYhAiIiIih8UgRERERA6LQYiIiIgcFoMQEREROSwGISIiInJYDEJERETksLj7/B0IggAA0Gq1IldCRERETWX8uW38OX4nDEJ3UFZWBgAICwsTuRIiIiJqrrKyMqhUqju2kQhNiUsOSq/X48qVK/D09IREImnRa2u1WoSFheHixYtQKpUtem1qPn4/rAu/H9aF3w/rw+/JnQmCgLKyMoSEhEAqvfMoIPYI3YFUKkVoaKhFX0OpVPIvsRXh98O68PthXfj9sD78ntze3XqCjDhYmoiIiBwWgxARERE5LAYhkSgUCrz99ttQKBRil0Lg98Pa8PthXfj9sD78nrQcDpYmIiIih8UeISIiInJYDEJERETksBiEiIiIyGExCBEREZHDYhASwbJlyxAREQEXFxfExMTg0KFDYpfksObPn4/+/fvD09MTAQEBGD16NDIzM8Uui65bsGABJBIJZs6cKXYpDuvy5cuYMGECfH194erqiu7du+PIkSNil+WQdDod3nrrLURGRsLV1RXt2rXDu+++26T9tOj2GIRa2dq1a5GYmIi3334bR48eRc+ePREfH4+CggKxS3NIe/bswfTp03Hw4EEkJSWhrq4OI0aMQEVFhdilObzDhw/js88+Q48ePcQuxWGVlJRg8ODBcHZ2xtatW3H69Gl8+OGH8Pb2Frs0h/TBBx/g008/xdKlS3HmzBl88MEHWLhwIT755BOxS7NpnD7fymJiYtC/f38sXboUgGE/s7CwMLz00kt44403RK6OCgsLERAQgD179mDYsGFil+OwysvL0adPHyxfvhzvvfceevXqhcWLF4tdlsN54403sH//fvz6669il0IAHnnkEQQGBuLLL780PTZmzBi4urpi9erVIlZm29gj1Ipqa2uRlpaGuLg402NSqRRxcXFISUkRsTIy0mg0AAAfHx+RK3Fs06dPR0JCgtm/FWp9GzduRL9+/fDnP/8ZAQEB6N27Nz7//HOxy3JYgwYNQnJyMs6ePQsAOH78OPbt24dRo0aJXJlt46arrejatWvQ6XQIDAw0ezwwMBAZGRkiVUVGer0eM2fOxODBg9GtWzexy3FYP/74I44ePYrDhw+LXYrDy87OxqefforExET83//9Hw4fPoyXX34ZcrkckyZNErs8h/PGG29Aq9WiU6dOkMlk0Ol0+Mc//oHx48eLXZpNYxAium769Ok4efIk9u3bJ3YpDuvixYt45ZVXkJSUBBcXF7HLcXh6vR79+vXD+++/DwDo3bs3Tp48iRUrVjAIiWDdunVYs2YNvv/+e3Tt2hXp6emYOXMmQkJC+P24DwxCrcjPzw8ymQz5+flmj+fn5yMoKEikqggAZsyYgU2bNmHv3r0IDQ0VuxyHlZaWhoKCAvTp08f0mE6nw969e7F06VLU1NRAJpOJWKFjCQ4ORpcuXcwe69y5M/7zn/+IVJFjmzVrFt544w2MHTsWANC9e3dcuHAB8+fPZxC6Dxwj1Irkcjn69u2L5ORk02N6vR7JycmIjY0VsTLHJQgCZsyYgZ9++gk7d+5EZGSk2CU5tOHDh+PEiRNIT083Hf369cP48eORnp7OENTKBg8efMtyEmfPnkV4eLhIFTm2yspKSKXmP7ZlMhn0er1IFdkH9gi1ssTEREyaNAn9+vXDgAEDsHjxYlRUVGDy5Mlil+aQpk+fju+//x4///wzPD09oVarAQAqlQqurq4iV+d4PD09bxmf5e7uDl9fX47bEsGrr76KQYMG4f3338cTTzyBQ4cOYeXKlVi5cqXYpTmkRx99FP/4xz/Qtm1bdO3aFceOHcO//vUvPPvss2KXZtM4fV4ES5cuxaJFi6BWq9GrVy98/PHHiImJEbsshySRSBp9/Ouvv8YzzzzTusVQox588EFOnxfRpk2bMGfOHJw7dw6RkZFITEzE888/L3ZZDqmsrAxvvfUWfvrpJxQUFCAkJATjxo3D3LlzIZfLxS7PZjEIERERkcPiGCEiIiJyWAxCRERE5LAYhIiIiMhhMQgRERGRw2IQIiIiIofFIEREREQOi0GIiIiIHBaDEBERETksBiEiIiJyWAxCRERE5LAYhIiIiMhhMQgRERGRw/p/3UfmdpByaPYAAAAASUVORK5CYII=", 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\n", 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\n", 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", 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" ] @@ -3209,10 +3218,10 @@ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn[52], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mcar_sales\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mPrice\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/code/zero-to-mastery-ml/env/lib/python3.8/site-packages/pandas/plotting/_core.py:1000\u001b[0m, in \u001b[0;36mPlotAccessor.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 997\u001b[0m label_name \u001b[38;5;241m=\u001b[39m label_kw \u001b[38;5;129;01mor\u001b[39;00m data\u001b[38;5;241m.\u001b[39mcolumns\n\u001b[1;32m 998\u001b[0m data\u001b[38;5;241m.\u001b[39mcolumns \u001b[38;5;241m=\u001b[39m label_name\n\u001b[0;32m-> 1000\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mplot_backend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkind\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkind\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/code/zero-to-mastery-ml/env/lib/python3.8/site-packages/pandas/plotting/_matplotlib/__init__.py:71\u001b[0m, in \u001b[0;36mplot\u001b[0;34m(data, kind, **kwargs)\u001b[0m\n\u001b[1;32m 69\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124max\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(ax, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mleft_ax\u001b[39m\u001b[38;5;124m\"\u001b[39m, ax)\n\u001b[1;32m 70\u001b[0m plot_obj \u001b[38;5;241m=\u001b[39m PLOT_CLASSES[kind](data, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m---> 71\u001b[0m \u001b[43mplot_obj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 72\u001b[0m plot_obj\u001b[38;5;241m.\u001b[39mdraw()\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plot_obj\u001b[38;5;241m.\u001b[39mresult\n", - "File \u001b[0;32m~/code/zero-to-mastery-ml/env/lib/python3.8/site-packages/pandas/plotting/_matplotlib/core.py:450\u001b[0m, in \u001b[0;36mMPLPlot.generate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgenerate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 449\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_args_adjust()\n\u001b[0;32m--> 450\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_compute_plot_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 451\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_setup_subplots()\n\u001b[1;32m 452\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_plot()\n", - "File \u001b[0;32m~/code/zero-to-mastery-ml/env/lib/python3.8/site-packages/pandas/plotting/_matplotlib/core.py:635\u001b[0m, in \u001b[0;36mMPLPlot._compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 633\u001b[0m \u001b[38;5;66;03m# no non-numeric frames or series allowed\u001b[39;00m\n\u001b[1;32m 634\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_empty:\n\u001b[0;32m--> 635\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mno numeric data to plot\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 637\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;241m=\u001b[39m numeric_data\u001b[38;5;241m.\u001b[39mapply(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_convert_to_ndarray)\n", + "File \u001b[0;32m~/miniforge3/envs/ztm-ml-env/lib/python3.11/site-packages/pandas/plotting/_core.py:1030\u001b[0m, in \u001b[0;36mPlotAccessor.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1027\u001b[0m label_name \u001b[38;5;241m=\u001b[39m label_kw \u001b[38;5;129;01mor\u001b[39;00m data\u001b[38;5;241m.\u001b[39mcolumns\n\u001b[1;32m 1028\u001b[0m data\u001b[38;5;241m.\u001b[39mcolumns \u001b[38;5;241m=\u001b[39m label_name\n\u001b[0;32m-> 1030\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mplot_backend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkind\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkind\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniforge3/envs/ztm-ml-env/lib/python3.11/site-packages/pandas/plotting/_matplotlib/__init__.py:71\u001b[0m, in \u001b[0;36mplot\u001b[0;34m(data, kind, **kwargs)\u001b[0m\n\u001b[1;32m 69\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124max\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(ax, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mleft_ax\u001b[39m\u001b[38;5;124m\"\u001b[39m, ax)\n\u001b[1;32m 70\u001b[0m plot_obj \u001b[38;5;241m=\u001b[39m PLOT_CLASSES[kind](data, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m---> 71\u001b[0m \u001b[43mplot_obj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 72\u001b[0m plot_obj\u001b[38;5;241m.\u001b[39mdraw()\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plot_obj\u001b[38;5;241m.\u001b[39mresult\n", + "File \u001b[0;32m~/miniforge3/envs/ztm-ml-env/lib/python3.11/site-packages/pandas/plotting/_matplotlib/core.py:499\u001b[0m, in \u001b[0;36mMPLPlot.generate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 497\u001b[0m \u001b[38;5;129m@final\u001b[39m\n\u001b[1;32m 498\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mgenerate\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 499\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_compute_plot_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 500\u001b[0m fig \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfig\n\u001b[1;32m 501\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_plot(fig)\n", + "File \u001b[0;32m~/miniforge3/envs/ztm-ml-env/lib/python3.11/site-packages/pandas/plotting/_matplotlib/core.py:698\u001b[0m, in \u001b[0;36mMPLPlot._compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 696\u001b[0m \u001b[38;5;66;03m# no non-numeric frames or series allowed\u001b[39;00m\n\u001b[1;32m 697\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_empty:\n\u001b[0;32m--> 698\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mno numeric data to plot\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 700\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;241m=\u001b[39m numeric_data\u001b[38;5;241m.\u001b[39mapply(\u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m_convert_to_ndarray)\n", "\u001b[0;31mTypeError\u001b[0m: no numeric data to plot" ] } @@ -3250,7 +3259,7 @@ " 3 Doors 10 non-null int64 \n", " 4 Price 10 non-null object\n", "dtypes: int64(2), object(3)\n", - "memory usage: 528.0+ bytes\n" + "memory usage: 532.0+ bytes\n" ] } ], @@ -3463,10 +3472,143 @@ "cell_type": "code", "execution_count": 55, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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MakeColourOdometer (KM)DoorsPrice
0ToyotaWhite15004344000
1HondaRed8789945000
2ToyotaBlue3254937000
3BMWBlack11179522000
4NissanWhite21309543500
5ToyotaGreen9921344500
6HondaBlue4569847500
7HondaBlue5473847000
8ToyotaWhite6000046250
9NissanWhite3160049700
\n", + "
" + ], + "text/plain": [ + " Make Colour Odometer (KM) Doors Price\n", + "0 Toyota White 150043 4 4000\n", + "1 Honda Red 87899 4 5000\n", + "2 Toyota Blue 32549 3 7000\n", + "3 BMW Black 11179 5 22000\n", + "4 Nissan White 213095 4 3500\n", + "5 Toyota Green 99213 4 4500\n", + "6 Honda Blue 45698 4 7500\n", + "7 Honda Blue 54738 4 7000\n", + "8 Toyota White 60000 4 6250\n", + "9 Nissan White 31600 4 9700" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Remove extra zeros from the price column\n", - "car_sales[\"Price\"] = car_sales[\"Price\"].str[:-2].astype(int)" + "# Remove 2 extra zeros from the price column (2200000 -> 22000) by indexing all but the last two digits\n", + "car_sales[\"Price\"] = car_sales[\"Price\"].str[:-2].astype(int)\n", + "car_sales" ] }, { @@ -3508,7 +3650,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] @@ -3935,8 +4077,11 @@ } ], "source": [ - "# Import car sales data with missing values\n", + "# Option 1: Import car sales data with missing values from local file (stored on our computer)\n", "car_sales_missing = pd.read_csv(\"../data/car-sales-missing-data.csv\")\n", + "\n", + "# Option 2: Import car sales data with missing values from GitHub (if the file is hosted online)\n", + "car_sales_missing = pd.read_csv(\"https://github.com/raw/mrdbourke/zero-to-mastery-ml/master/data/car-sales-missing-data.csv\")\n", "car_sales_missing" ] }, @@ -3946,9 +4091,7 @@ "source": [ "Missing values are shown by `NaN` in pandas. This can be considered the equivalent of `None` in Python.\n", "\n", - "Let's use the [`.fillna()`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html) function to fill the `Odometer` column with the average of the other values in the same column.\n", - "\n", - "We'll do it with and without `inplace`." + "Let's use the [`.fillna()`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.fillna.html) function to fill the `Odometer` column with the average of the other values in the same column." ] }, { @@ -4135,7 +4278,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Because `inplace` is set to `False` (default), there's still missing values in the `\"Odometer\"` column. Let's try setting `inplace` to `True`." + "Because `inplace` is set to `False` (default), there's still missing values in the `\"Odometer\"` column. \n", + "\n", + "Instead of using `inplace`, let's resassign the column to the filled version.\n", + "\n", + "We'll use the syntax `df[col] = df[col].fillna(value)` to fill the missing values in the `\"Odometer\"` column with the average of the other values in the same column." ] }, { @@ -4145,8 +4292,7 @@ "outputs": [], "source": [ "# Fill the Odometer missing values to the mean with inplace=True\n", - "car_sales_missing[\"Odometer\"].fillna(car_sales_missing[\"Odometer\"].mean(),\n", - " inplace=True)" + "car_sales_missing[\"Odometer\"] = car_sales_missing[\"Odometer\"].fillna(car_sales_missing[\"Odometer\"].mean())" ] }, { @@ -5934,38 +6080,26 @@ " \n", " \n", " \n", - " 4\n", - " nissan\n", - " White\n", - " 213095\n", - " 4\n", - " 3500\n", - " 5\n", - " 1.6\n", - " 4\n", - " True\n", - " \n", - " \n", - " 6\n", - " honda\n", + " 2\n", + " toyota\n", " Blue\n", - " 45698\n", - " 4\n", - " 7500\n", + " 32549\n", + " 3\n", + " 7000\n", " 5\n", - " 2.0\n", + " 3.0\n", " 4\n", " True\n", " \n", " \n", - " 3\n", - " bmw\n", - " Black\n", - " 11179\n", - " 5\n", - " 22000\n", + " 0\n", + " toyota\n", + " White\n", + " 150043\n", + " 4\n", + " 4000\n", " 5\n", - " 4.2\n", + " 1.3\n", " 4\n", " True\n", " \n", @@ -5982,38 +6116,26 @@ " True\n", " \n", " \n", - " 1\n", - " honda\n", - " Red\n", - " 87899\n", + " 8\n", + " toyota\n", + " White\n", + " 60000\n", " 4\n", - " 5000\n", + " 6250\n", " 5\n", " 2.0\n", " 4\n", " True\n", " \n", " \n", - " 9\n", + " 4\n", " nissan\n", " White\n", - " 31600\n", - " 4\n", - " 9700\n", - " 5\n", - " 3.0\n", - " 4\n", - " True\n", - " \n", - " \n", - " 8\n", - " toyota\n", - " White\n", - " 60000\n", + " 213095\n", " 4\n", - " 6250\n", + " 3500\n", " 5\n", - " 2.0\n", + " 1.6\n", " 4\n", " True\n", " \n", @@ -6030,26 +6152,50 @@ " True\n", " \n", " \n", - " 2\n", - " toyota\n", - " Blue\n", - " 32549\n", - " 3\n", - " 7000\n", + " 3\n", + " bmw\n", + " Black\n", + " 11179\n", " 5\n", - " 3.0\n", + " 22000\n", + " 5\n", + " 4.2\n", " 4\n", " True\n", " \n", " \n", - " 0\n", - " toyota\n", + " 9\n", + " nissan\n", " White\n", - " 150043\n", + " 31600\n", " 4\n", - " 4000\n", + " 9700\n", " 5\n", - " 1.3\n", + " 3.0\n", + " 4\n", + " True\n", + " \n", + " \n", + " 1\n", + " honda\n", + " Red\n", + " 87899\n", + " 4\n", + " 5000\n", + " 5\n", + " 2.0\n", + " 4\n", + " True\n", + " \n", + " \n", + " 6\n", + " honda\n", + " Blue\n", + " 45698\n", + " 4\n", + " 7500\n", + " 5\n", + " 2.0\n", " 4\n", " True\n", " \n", @@ -6059,28 +6205,28 @@ ], "text/plain": [ " Make Colour Odometer (KM) Doors Price Seats Engine Size \\\n", - "4 nissan White 213095 4 3500 5 1.6 \n", - "6 honda Blue 45698 4 7500 5 2.0 \n", - "3 bmw Black 11179 5 22000 5 4.2 \n", + "2 toyota Blue 32549 3 7000 5 3.0 \n", + "0 toyota White 150043 4 4000 5 1.3 \n", "5 toyota Green 99213 4 4500 5 1.0 \n", - "1 honda Red 87899 4 5000 5 2.0 \n", - "9 nissan White 31600 4 9700 5 3.0 \n", "8 toyota White 60000 4 6250 5 2.0 \n", + "4 nissan White 213095 4 3500 5 1.6 \n", "7 honda Blue 54738 4 7000 5 2.3 \n", - "2 toyota Blue 32549 3 7000 5 3.0 \n", - "0 toyota White 150043 4 4000 5 1.3 \n", + "3 bmw Black 11179 5 22000 5 4.2 \n", + "9 nissan White 31600 4 9700 5 3.0 \n", + "1 honda Red 87899 4 5000 5 2.0 \n", + "6 honda Blue 45698 4 7500 5 2.0 \n", "\n", " Number of wheels Passed road safety \n", - "4 4 True \n", - "6 4 True \n", - "3 4 True \n", + "2 4 True \n", + "0 4 True \n", "5 4 True \n", - "1 4 True \n", - "9 4 True \n", "8 4 True \n", + "4 4 True \n", "7 4 True \n", - "2 4 True \n", - "0 4 True " + "3 4 True \n", + "9 4 True \n", + "1 4 True \n", + "6 4 True " ] }, "execution_count": 76, @@ -6154,131 +6300,131 @@ " \n", " \n", " 0\n", - " 4\n", - " nissan\n", - " White\n", - " 213095\n", - " 4\n", - " 3500\n", + " 2\n", + " toyota\n", + " Blue\n", + " 32549\n", + " 3\n", + " 7000\n", " 5\n", - " 1.6\n", + " 3.0\n", " 4\n", " True\n", " \n", " \n", " 1\n", - " 6\n", - " honda\n", - " Blue\n", - " 45698\n", + " 0\n", + " toyota\n", + " White\n", + " 150043\n", " 4\n", - " 7500\n", + " 4000\n", " 5\n", - " 2.0\n", + " 1.3\n", " 4\n", " True\n", " \n", " \n", " 2\n", - " 3\n", - " bmw\n", - " Black\n", - " 11179\n", " 5\n", - " 22000\n", + " toyota\n", + " Green\n", + " 99213\n", + " 4\n", + " 4500\n", " 5\n", - " 4.2\n", + " 1.0\n", " 4\n", " True\n", " \n", " \n", " 3\n", - " 5\n", + " 8\n", " toyota\n", - " Green\n", - " 99213\n", + " White\n", + " 60000\n", " 4\n", - " 4500\n", + " 6250\n", " 5\n", - " 1.0\n", + " 2.0\n", " 4\n", " True\n", " \n", " \n", " 4\n", - " 1\n", - " honda\n", - " Red\n", - " 87899\n", " 4\n", - " 5000\n", + " nissan\n", + " White\n", + " 213095\n", + " 4\n", + " 3500\n", " 5\n", - " 2.0\n", + " 1.6\n", " 4\n", " True\n", " \n", " \n", " 5\n", - " 9\n", - " nissan\n", - " White\n", - " 31600\n", + " 7\n", + " honda\n", + " Blue\n", + " 54738\n", " 4\n", - " 9700\n", + " 7000\n", " 5\n", - " 3.0\n", + " 2.3\n", " 4\n", " True\n", " \n", " \n", " 6\n", - " 8\n", - " toyota\n", - " White\n", - " 60000\n", - " 4\n", - " 6250\n", + " 3\n", + " bmw\n", + " Black\n", + " 11179\n", " 5\n", - " 2.0\n", + " 22000\n", + " 5\n", + " 4.2\n", " 4\n", " True\n", " \n", " \n", " 7\n", - " 7\n", - " honda\n", - " Blue\n", - " 54738\n", + " 9\n", + " nissan\n", + " White\n", + " 31600\n", " 4\n", - " 7000\n", + " 9700\n", " 5\n", - " 2.3\n", + " 3.0\n", " 4\n", " True\n", " \n", " \n", " 8\n", - " 2\n", - " toyota\n", - " Blue\n", - " 32549\n", - " 3\n", - " 7000\n", + " 1\n", + " honda\n", + " Red\n", + " 87899\n", + " 4\n", + " 5000\n", " 5\n", - " 3.0\n", + " 2.0\n", " 4\n", " True\n", " \n", " \n", " 9\n", - " 0\n", - " toyota\n", - " White\n", - " 150043\n", + " 6\n", + " honda\n", + " Blue\n", + " 45698\n", " 4\n", - " 4000\n", + " 7500\n", " 5\n", - " 1.3\n", + " 2.0\n", " 4\n", " True\n", " \n", @@ -6288,16 +6434,16 @@ ], "text/plain": [ " index Make Colour Odometer (KM) Doors Price Seats Engine Size \\\n", - "0 4 nissan White 213095 4 3500 5 1.6 \n", - "1 6 honda Blue 45698 4 7500 5 2.0 \n", - "2 3 bmw Black 11179 5 22000 5 4.2 \n", - "3 5 toyota Green 99213 4 4500 5 1.0 \n", - "4 1 honda Red 87899 4 5000 5 2.0 \n", - "5 9 nissan White 31600 4 9700 5 3.0 \n", - "6 8 toyota White 60000 4 6250 5 2.0 \n", - "7 7 honda Blue 54738 4 7000 5 2.3 \n", - "8 2 toyota Blue 32549 3 7000 5 3.0 \n", - "9 0 toyota White 150043 4 4000 5 1.3 \n", + "0 2 toyota Blue 32549 3 7000 5 3.0 \n", + "1 0 toyota White 150043 4 4000 5 1.3 \n", + "2 5 toyota Green 99213 4 4500 5 1.0 \n", + "3 8 toyota White 60000 4 6250 5 2.0 \n", + "4 4 nissan White 213095 4 3500 5 1.6 \n", + "5 7 honda Blue 54738 4 7000 5 2.3 \n", + "6 3 bmw Black 11179 5 22000 5 4.2 \n", + "7 9 nissan White 31600 4 9700 5 3.0 \n", + "8 1 honda Red 87899 4 5000 5 2.0 \n", + "9 6 honda Blue 45698 4 7500 5 2.0 \n", "\n", " Number of wheels Passed road safety \n", "0 4 True \n", @@ -6840,7 +6986,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.6" + "version": "3.11.8" } }, "nbformat": 4,