BEVProject_main_script.html

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.S6 { margin-left: 56px; line-height: 21px; min-height: 0px; text-align: left; white-space: pre-wrap;  }</style></head><body><div class = rtcContent><h1  class = 'S0'><span>Battery Electric Vehicle Model in Simscape</span></h1><div  class = 'S1'><span>Open the Project by double-clicking </span><span style=' font-weight: bold; font-family: monospace;'>BatteryElectricVehicle.prj</span><span> file if you have not opened the project yet. Use </span><a href = "matlab:openApp(&quot;BEVProjectNavigator&quot;)"><span>Project Navigator</span></a><span> app to open models and scripts. </span><span style=' font-weight: bold;'>Project Shortcuts </span><span>Toolstrip has links to the BEV model, the main page of thie project, and the project navigator app.</span></div><h2  class = 'S2'><span>Battery Electric Vehicle (BEV) Model for System Level Simulation</span></h2><div  class = 'S1'><span>This is a simple, fast running BEV model which can estimate the electrical efficiency of the vehicle. It is also suitable for further customizations for more focused analysis of individual components at vehicle system level.</span></div><div  class = 'S1'><span>Open the </span><a href = "matlab:openFile('BEV_system_model')"><span>BEV system model</span></a><span>. You can also use the shortcut button </span><span style=' font-weight: bold;'>BEV system model</span><span> in the </span><span style=' font-weight: bold;'>Project Shortcuts</span><span> toolstrip.</span></div><div  class = 'S1'><span>Files related to the BEV system model can be found at </span><span style=' font-weight: bold;'>BEV</span><span> folder.</span></div><div  class = 'S3'><img class = "imageNode" src = 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" width = "802" height = "293" alt = "BEV_system_model_screenshot.png" style = "vertical-align: baseline; width: 802px; height: 293px;"></img></div><h2  class = 'S2'><span>Vehicle Components</span></h2><h3  class = 'S4'><span>Longitudinal Vehicle</span></h3><div  class = 'S1'><span>Longitudinal abstract vehicle model can be used to find required powertrain performance (such as motor torque and power etc.) given basic vehicle performance specifications.</span></div><div  class = 'S1'><span>Open the </span><a href = "matlab:openFile('Vehicle1D_harness_model')"><span>Vehicle 1D harness model</span></a><span>. You can also use the shorcut button </span><span style=' font-weight: bold;'>Vehicle1D</span><span> in the </span><span style=' font-weight: bold;'>Project Shortcuts</span><span> toolstrip to open harness model. You can simulate and analyse basic vehicle performance with the Vehicle1D harness model.</span></div><div  class = 'S1'><span>See </span><span style=' font-weight: bold;'>README.md</span><span> in the </span><span style=' font-weight: bold;'>Components &gt; Vehicle1D</span><span> folder for more informaton.</span></div><div  class = 'S3'><img class = "imageNode" src = 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gSoNH/+/Plz5861traq1CUJ+MCBAyr5BQUFzZo1S0a6Mvbt7e11txJZg2xIf3GgRQlQBzBmz56tP5Ivo2fPSmE42iHKEhwcPOp5hMWLFwcGBhoKxXv0+XvZsmXSmLf/Rh3nUOdNRFZknxhWcuTIEbMEqDkW7o5PIAFIAPiLBHR2djocjlEfLi7d+uHDh0fNjmNjy5Ytsolvv/1WOvqhoSHpcMvLy6VEdETvHzJMV3LQ2Ngo1drb2zdt2iQlhkOaFqvZqokEjCoBBtTYXdM4kTzzBXKjng4wk5+fL3nuwwhz5sxRmU+CZO7cuYYrEsdFAjIzM6V88+bN+kKxDSkUXbbSYHWa3/NF+Qqxmfj4eENhTU2NPn9LnS/coMb0UmHFihWGlbicXYgEIAGABPz3OKHK8TIalgFZdXW1JMLXr193d3dLJhY/aGtrk75V+ibNBg4ePDjuhwFUAwwjuaysLCmXJmklaWlpUnLt2jWtpL+/X4aAUqjfgxar2ao57hLg86i8qyU/dRTdkIfu3LljTrEekGjU5gOquw5otw/aunWrjLbdLej5/LcHCVCT7AwXNfz39/PFF6IdVtosvx2p/OzZs1FryhDfPHXx7Nmz+v0WGBgo273pCnUKICgoaNGiRZ5XouB0ABIAfhgb2ijuC+2nvmrVqo6OjlGXlOwo+Tg6OloWCQ8PH8c23b59W9ZpHgP9/PPPUq5dCC6NlJexsbGGaqWlpVJeWVlpq5qtmkjAmCWgoKBAPxjVXirUBPUTJ05YXKeMcbWRq1qhNnFEVhUQEOBBND3bhjsJaGpqMi+oDmAsW7Zs1AY/efJEappj292nk49guEGyKLg+fzscDtEgDyc+ZP+YK6jjGQYJUDMJDN8IEoAEgG/ExqiHcv+/BHjoTTzk7JiYmHFs69DQUFhYWEREhPyhL9+7d6/0RPX19eqljNfl5a5duwyL37hxQ8pzcnJsVbNVEwnwjMu7/ajJaA0NDerlhw8fZJAaEhKiVR4eHhablLQ36oVzCjUfULvQ39aRAEHGxx7k1cPNghYuXCiDb/0vRR0e0B/hPz+CeVk1j+/06dNWPqC6l8Dx48e1EtmofCh9/hZhkpcub/Kj5hyYKzx//lydRDBIgGzI3UdGApAAmBax8Tnnc73r6gAZdkuns3v3btXVSnd28eJFKUlJSdHM4OjRo/oDAxqPHz/WH0iwWM1WTSTAMzt37pQRqqTGS5cuSabRJgaKB5jH/QkJCVevXpXcs3r1anmppvhZ8QwRiJKSEq1EzQlQY3Q1JyAvL8/DGvbs2SObM0xxPXPmzLYR1BMNkpOT1cuWlhatjrINkVT5dDJ6llQt4iK5We8uM0cwZ2WpJgnY4h2N5DMuWLBA6suOam1tlV20bNkycRdD/laTLTZs2CC7sbm5WZokiV/2qpbO5W8106K6urqoqEjaIJ/LLAFSYfbs2dwsCAkAL4+NCZrU5XWXCF6+fHnNmjWhoaFRUVEyYouOjv7xxx/Vpc+Kffv2ScdUVVVlWHBgYEBNIbRVzVZNJMAzkmy0h+soAgMDZRBsTn5HjhyRxKPqSCq1ftNfGdouXrzYcKhc8p94gGRNWdWKFSv00WJGHZkXU9EXqgvqzBjyZW1trRqRK0QQDQ8scCkByh62bt1qfU++ePFC4l/bkDTv3LlzhvbIXpV9q58hOGPGDPEtbdqByITsLmmw7BYJ47Nnz6rZhSIN+mMM8q6HqZRIABIAk8nkz+D2LgmQQZW6QED6sqysLHW54PLly/X3lsnPz5fCCxcuuMzZ2pFei9Vs1XTZRRp4ORo+36tKXpGs3NDQIOnWQzVJ5PK13rx509bThGWY63JunaxENqquHhyVtWvXerhpoGdkxPzHH3+oRxlN9J5sa2uTDRnuqWBuz4MHD6TavXv3Rr34MC8vzzA5Ud15yd1NlFWEv4Txprm5mZ3gz0xEprfbBm+UgHfv3qmLFPT3kP/rr79EAqRQ+jhVUlhYKC8rKioMi/f396srGG1Vs1WTIwG+waNHjyQXujx570sYpmg8f/48KCho6dKlWsmHDx9CQkI8nz0hXDkSANNlTD/GdnrPLrt8+bK6RY+hvL6+Xsq/++479bKqqkpeSuY2VLt7966Ur1mzxlY1WzWRAJ+hYQTf/oypqakOh6O4uPjEiRMZGRmzZ88OCAjQP1zg1atXp0+f9jwpmHBFAmAy0/wEZfrRJSDcDp//LDWXFBUVSY/zww8/GMq7urqkPDo6Wr1Uk/azsrJcuoI2yd9iNVs1kQCYRtTU1KSkpMydOzcwMFBG/Js3b7Z4uoRwRQJgqjL9lN0s6Es7hIaGTkRTysrKZOX79u0zlN+7d0/KExMT1cuBgQFpQFhYmOGZApKt9acSLFazVRMJAH+DcEUCSPOTOaafMgl4bQFJhxMqAepmQTExMYaZULm5uYbD9erOAfoJ3u3t7eqCgv7+frvVbNVEAgAJACSAND9BR++99CmCbW1t2g2DJS/+9ttvE9QadWlAXFzcsWPHGhsbL1y4oC4QiI6O1j+zVYxE3dO3oKBAqp06dUq9VM+Yt1vNVk0kAJAAQAJI8z4TG6NIgGTHxMRE7bECoybFz+Tdu3cHDx40PM3v22+/lXG5oaaUpKamanViY2Ndts1iNVs1kQBAAgAJ8JkcPyXT8aaBBPT09KjH6ig830KfLpJeFYhwQAK8Ns0TGzYkYGBgYMeOHVr6Ly0tHfUmJHSR9KqTgMShuzsLSbnLJxe4o6mp6fr16+Zy9WziSf5cr169Onv2rP6E13it09Y+IVyRAIby/i4BHz9+VHfOUXz//feDg4P8YpEA60hmPXLkyMaNG8PDw0NCQvS3etRYuHBhiIlRb92Tl5cXEBDwxRdfLF26VHtckEbyCBYb+ezZsxkzZpw5c0YrkWSZn58/Z84cdf/d2bNnZ2dn9/T0eF7P2D6IGfUgRMMtij8T+UTBwcH6hxshAUjAtM7xPpPmvVcC1HN0FBkZGZ5vwA5IgEsCAwPVTexVwnb5bLqZM2fOmzcv9d/ob2Jjpry8XFaobta7evVqWVw/Xq+rq5N3Dbfx94BsTvK3vmTFihXSWvm/urpaBtDqmUYRERGej4GN4YNMmgQIBw4ckN1ieFQS4YoEeGeC95Mc770SEBoaqtL/mjVrPN+rHJAAD8jwWkb/f//9t4dn8kruXLt2ra3VRkZGpqWlqb/b2tr0KXNgYGD+/PnWH0EkriCLl5aWaiXNzc3qqYb6arK5URPzGD7IZEqA/JDFxlw+bphwRQLI8cTGvyRAGYB0Qw+twVeFBHhmfCVg1qxZ2dnZ6m8ZncuaZbyuXhYUFMiw3uJTelV9WVz/yByVg8vKyvTVZP1SePr06YmQgNbW1j179mRkZBw6dEhStUsJePv2rRjV1q1bMzMzjxw5Yn5eUUtLS15enraSzs5OWY9h3O9wOObMmfM5c3qQgOnb0U9adifH+44ETO0dA5EAv5KADx8+9PX1WZyFFxISItlO/d3T0yNrVhdwPnnyRAa7dXV11hu2ZAR9yZ07d2SFmzdv1hcWFxcbnro7Lh9EOHnypHqAclJS0vz584ODg0tKSgwS0NzcPG/ePClctGhRVFSUfMbAwED9iYby8nK1kuTk5AULFrhciVBRUSGFN2/eRAJ8rKOf5ARPjvd9CUiygwwv+KrGSwKepf2v6ftvzBIgfPEPy5Ytc1lNT3Z2tuRLNdddPf32xYsX8vfKlSttjcUlW8sWN27caChPS0uTdcqAWzYh6fz06dOzZ8+WUPe8tjF8kEePHsmGwsPDtZF9aWmplOjz95s3b2T4Lqm9ra1NlciHFRuYO3eumqnz4MEDqR8XF6dNXZRkb1iJQtojhUVFRUjAdOnoJz+7k+CRAEACJlUCJJ9lZmaeOXOmurpaxt9qCqF+rr4ZSZkLFy4UD5DELJUPHTr0aeQBOZKDlQ28f/++oaHhjz/+8LzzVVLcv3+/+S0pVHlUkZeXN+pR9DF8kO3bt0sdQzu/+uorff5WJyzu3Lmjr3P9+nUpPHnypPydkZEhf4tP6CuID7k8pyCFGzZsQAKmlilJ7SR4JAAJQAK8UQIMyVUyouRyGXkbHuBkQNL8+fPnz507px6FJ+ktJCTkwIEDKkEGBQXNmjVLsriMjz08G1fW4DJPq7ybkJBw/PjxEydOqKsDtm7d6vmrHMMHWbx4cWBgoKFQnEafv5ctWyYreftv1DEMdU5EfEg+r2ElR44cMUuAmj/xObMXkQCyOyABMIES4Kt4kAAzkm7tTo/Pz8+XXKju7TNnzhyVHZ1O59y5c3Nzc21JgGzXPCdAaUFFRYWtTz3qBxFTiY+PNxTW1NTol5I6X7hBjemlwooVKwwrcTm7EAmYXnmdBA9TJgGeB2EuuXfvXmxsLBJAr/r5EnD69Gn9hP9RaWtr0+YDyv+yrHb7IEnDwcHB7hZ0eY5848aN5tlz4hNSmJKSYutTj/pBZIhvmJb46Z8rEbT8HRgYKCpz0xXqFEBQUNCiRYs8r0TB6QDvyev61M5tg8HrJEB+6tLfWblxqeiCDFzUQ/a4TAAJGBcJkLG7rSMBMg7WRrdqBKxZrIzdAwIC3C2oriwwDPrT09Ol0HBzw97eXin8+uuvbX3qUT+ItFyaZ7j5sWEph8MhiuPhpIZ8dnOFzMxM86bVTIKCggIfkwAvSepjHrgjAeB1ErB8+XJ1+V94eHhycnJlZeVff/3V1dUlnWZ3d7eMip4+fbply5aEhATtQsGSkhK+MCTArgSYL+h/8eLFnDlzJDVavEuVmg+oXehv60jAp5HZfBLk+pIDBw7IGtT0Ao3jx49L4fbt27WS8yN85gcpLS2V1crK9bYhDdbn7xMnTshLlzf5UbMQzBWeP3+uTiIYJEB9CosqNlXh6m0ZfRIOyCMB4HUSIHR0dCQlJY16k4CIiIiysrKhoSG+LSTAzJkzZ7aNsGTJEkk/IpTqZUtLi6qwc+dOGemWl5dfGqG4uFjdsV9/Cz8PqPmAegFVcwLU4F7NCcjLy/Owhj179sjm9DfVUZfkqRFzQ0ODjJ7VDXclrT558kSrpi4I1F6O7YNI+xcsWCBrrqioaG1tlfS8bNky8RJD/lYXQWzYsOHq1avNzc3SJEn8ouBaOpe/1YGK6urqoqIi0QjZ1WYJkAqzZ8+enJsFeWcu984T7UgAeKMEKN69eyedzrp16+Lj42XApI75R0VFJSYmSu/2mfchRwJ8XgLU1WtmtOR08uRJSUv6tyQpqivfrCDD38WLFxsOp0uOlAQsmVUy94oVKzw/9kLyumxUkre+8NGjRxLw+lZFRkYaLtIzSMCYP8iLFy/kB6UtJXvs3Llzhvz9/v17MRL9DMEZM2asXLny2bNnmkzIrpDcLx9ZvPzs2bNqdqH+7ka9vb3yrodpkhbDlaSOBIAfSQAgAZNAd3e3ZG4ZdtvVShkKa4lQj2iBrFBdPTgqa9euNc/OU1nz+gjWH58x5g/S1tYmS3nekIzgHzx4INXu3bs36mg+Ly9PJEC/c9RdlfQ3SPZmCaCjB0ACkACYDGTcL/lyDM/89R7UzRM1nj9/HhQUtHTpUq3kw4cPISEhns+MTJAEEGBIACABSAAS4NU0jDB925+amupwOIqLi0+cOJGRkTF79uyAgAD9wwVevXp1+vRpD5cYEK5IABAbSAASANOSmpqalJSUuXPnBgYGyoh/8+bNFk+FEK5IABAbSAASAEC4IgFAbCABk9VFamdM6VUBCaCjZycAEuCbXeSo06boVQEJoKNnJwAS4GtdpMW50/SqgATQ0bMTAAnwqS7S+gVU9KqABNDRsxMACfCdLtLWddJ+0qv+PYL1+sPDw+7qS7nhsnjPNDU1Xb9+/fObZODVq1dnz5618pAtu+u09emQADp6IDaQAC+VAHpV4erVq+rBAcKiRYusPCA4Ly8vICBA6i9dulR7FJBG8ggWt/7s2bMZM2acOXPmM5tkRj2u0PqjDq0g6T84ODg/Px8JoKMH8C4JOHbsWGJiYmxsbGRkpHZzU6fT+fDhQ54epO8i7d4rzbd7VfVMv4ULF1ZWVp48eTIiIkJeer6jfnl5uRhAQ0NDV1fX6tWr582b9+HDB/0K5d3nz59bbEBqaqps/TObNGkS8GnkGYbyAb32qRxIABIAficBT58+NTw5UJOAnp4eeelwOPiqzBJArzo8PDx//vygoCBJ56qkr69PSgIDAz0c8RbLTEtLU3+3tbXpE+3AwIAsXlxcbLEB4gqG5/iNrUmTKQHy45oxY4bLBwcjAXT0QGxMtgTIKF8l/uzsbBmdNDc36yXg08gzTOkX/mf32b9lug/vvatXr0qa3Llzp77wP//5jxTW1NS4W2rWrFkSbFrOlsra4fqCggIZwb9//95iA6S+LK5/ZM7YmqRobW3ds2dPRkbGoUOH5CfgUgLEJM6cObN169bMzMwjR45oqqHR0tKSl5enraSzs1PWYxj3i1XPmTPncx74iwTQ0QOxMT4SUFJSIj/7Y8eOaf2gQQLS09OlpKenh2/rk83ZAD7fq+7fv1/S5KVLl/SF169fl0LJke6WCgkJkRyp/pa4ksqSJj+NPPNXhsh1dXXWG7BkhM9v0qeRJwVLnYCAgKSkpPnz5wcHB8tPwyABosjz5s1T8wyioqKktYGBgfob+JeXl6uVJCcnL1iwwOVKhIqKCim8efMmEkBHD8TGFEvA8uXL9T97swTcvn1bSsZ3jrT/HAYw96r/t27h9P1n+GgbNmyQZNbU1KQvHBgYkMKvv/7a3Q7Jzs6WLKsOzqun37548UL+Xrly5dq1a63v2L6+PtnQxo0bP79Jjx49kmaEh4drI/vS0lIp0efvN2/eyPBdUntbW5sqkWaLDcydO1daIi8fPHgg9ePi4jRjlmRvWIni119/lcKioiIkgI4eiI0ploCYETxIgDpB0NHRwbc1tmen+rAEpKSkSDLTR8unkWfaSqGH6f2SaBcuXCgeIGNuqXno0KFPIw/ImTlzprKB9+/fNzQ0/PHHH553rEqlMvT//CZt375dKhi2+NVXX+nztzr1cOfOHfMxBjXrMCMjQ/4Wn9BXELNxeU5BCsVXkAA6eiA2pv5IQFhYmAcJSE1NNZTgAUiAQsbWkswME+5GzbgqzZ8/f/7cuXPqUXiyhpCQkAMHDqi0GhQUNGvWLBlDy6jaw7NxZQ2yIcPFgWNr0uLFiwMDAw2FYif6/L1s2bLZs2e//TfqaIQ6uyFmIy03rOTIkSNmCVAzIWwd9kAC6OiB2JgQCcjJyZGf/cOHD91JgJo2yFc15i7Sh/deenq6JLPm5mZ94ajH3s3k5+dLBv0wwpw5c1ROdTqdc+fOzc3NtSUBY2uSOEd8fLyhsKamRp+/pc4XblBjeqmwYsUKw0pczi5EAujoAbxFAiTf6y8L1EuAdFVpaWnysqCggK8KCTCzc+dOc4a7c+eOFG7evNniStra2rT5gOoSf+32QVu3bg0ODna3oMsz62NrkgzxDRMMhbNnz+pXFRgYKFJy0xXqFEBQUNCiRYs8r0TB6QA6egBvkQDh8OHDygMcDsemTZvkj59//nndunWqMDw8nO8JCXCJGuYaHFFNfT9x4oTFlcjoWRsTqxXKwF1bVUBAgLsF1ZUFhtQ+tiZJG2RDhnsM5+bm6vO3/DpEVjycnpBPYa6QmZlplgA1k8A73RoJQALA7yRAqKqq+tIVq1at8s6rmZEAb+DDhw8y/A0JCdHOwUu0iDVKQjVfQO8SNR9Qu9Df1pEAQUbeBkkdW5NKS0tlu8ePH9dKJJfLpvX5WxxCXrq8yY/6jZgrPH/+XJ1EMEiAbEgKf/31VySAjh6IDa+QAOHjx4/3799PSUmREY/k/sLCQgIXCRgVNchOSEi4evWqZLXVq1fLSzXFb1TUfMCSkhJ9Cp8zZ44a3Ks5AXl5eR7WsGfPHtmc4VY8Y2iStGTBggWSsGXZ1tZWWWrZsmViGIb8rS5n2LBhg6y5ublZBvSS+GVDWjqXv9Xkg+rq6qKiItGI5ORkswRIhdmzZ3OzIDp6AB4ghARMe44cOSIpTU2RkwG39Zv+yqB58eLFhoPwklnFAyQfy6pWrFihLsF3x5MnT2Sj5eXln9+kFy9eREVFaXP9MjIyzp07Z8jf79+/Lygo0M8QnDFjxsqVK589e6bJhHwoyf2y0YiIiLNnz6rZhSIN+mMM8q6HCY9IAB09EBuTKgGvR3C3gOd3kQB61U8jD+1tamq6efOmrUf3ygBaS5+GtYkKqKsHR2Xt2rXmOX1jblJbW1tDQ4PnC2JlBP/gwQOpdu/evVFH83l5eSIB+o+p7o+kv9UxEkBHD8TGlEmAuhdQZWWly9ofP36UdxMSEviqkADv5NGjR5Jlz58/7w2NMdyf4Pnz50FBQUuXLtVKPnz4EBIS4vkcBxJARw/ExuRJwKpVq+Rn39/f726BNWvWSIV3797xbSEB3knDCN7QktTUVIfDUVxcfOLEiYyMjNmzZwcEBOgfLvDq1avTp097uMQACaCjB2JjUiUgPj4+MjLSwwI1NTXSL3jt48+RAPAe5MeSkpIyd+7cwMBAGfFv3rzZ4kkNJICOHoiNqZGAmJiY6OhoDwu0tLRIv0AQIwFAhAMSAL4mAStXrpSfvYf5Ter2QcwNRAKACAckAHxNAnbs2CE/e8N1zHpCQ0PpFz5TAgCmEfzMkQDwIwnQnh1geObKJ92zA7Kzs/mqGCcBHT0QG+BrEiAcPHhQecDy5cu/+eab3377raCgQF0UwMgACQA6eiA2wJclQDh27Ji7ZwcMDQ3xPSEBQEcPxAb4rAQI7969u3Hjxvr16x0Ox5o1a3788UcuC0QCgI4eiA3wCwmY8h1RXV1dWFhYXFxcV1fn0j+kUNUpKyu7f/++u1VZrGarJhIAdPRAbIAPSsDDEaZwFwwODu7bt2/UKcoXL14MCwvTV9ixY4csO7ZqtmoiAUBHD8QG+KYExMTEeL5PwESzbds2acD69evr6+vb29vb2tquXbtmuB5BhulSR5ra2Ng4NDQk1dTdC4qKisZQzVZNJADo6IHYAJ+VgISEhNDQ0Kn6/OqexN9++63n6YfqSkWRA62kv78/Li7OcCtDi9Vs1UQCgI4eiA3wWQnYtWuXJLaenp4p+fzqfoUy+vdQp6OjQ+rExsYayktLS/XPP7RYzVZNJADo6IHYAF+WgMHBQUlsGRkZk//hJffLph0Oh3o5NDTk8lmFMl6XaiIrhvIbN25IeU5Ojq1qtmoiAUBHD8QG+LIE9PT0PHz4UHJbfHx8Q0NDV1dXjysmoil1dXWy3d27d9++fXvdunVqdl5UVFRJSYn+0cZHjx6V8uLiYsPijx8/Vs22Vc1WTSQA6OiB2ABfloD09PRR7yU+QZMG1B2K1K0J5f+ioqLCwkJ1giAlJUWbqK+uHaiqqjIsPjAwIOURERG2qtmqiQQAHT0QG+DLEvDdd99Fj0ZMTMxENOWHH37Qrs3TZ2IxACmsqKhQJfn5+fLywoULLnN2eHi4rWq2arqUAAMvAUZobm5mJwCxAd4ZG24lYAr5+eefVR413BpIdooUJicnq5eFhYV6J9Do7++X8sjISFvVbNXkSAAw2gNiA3z5SMAUcuXKFZdJV81V1M5BVFVVyUvJ3IZqd+/eVecRbFWzVRMJADp6IDYACZgQ1ITEUSVATdrPysoyVKuvr9dP8rdYzVZNJADo6IHYAL+QAKfTmZOTk5iYmJCQIP+vW7euoaFhQpsyPDys7ldouPpA3c5P2qBeDgwMiBCEhYXJH/pq6g4HNTU1tqrZqokEAB09EBvg+xLw7bffursuoLm5eeJaU1ZWJlspKSnRF6obCctbWsnevXulpLy8XCtpb2+XtkVFRekvJrRYzVZNJADo6IHYAF+WAIfDoVL+qlWr6uvrnz59+vjx4+zsbMmIqry1tXWCWiNj8eTkZNmEbO7atWt1dXXffPONOgzQ19enVXv9+rW6p29BQUFjY+OpU6fUy9raWv3aLFazVRMJADp6IDbAZyVA3T5PBsG9vb3m2ocPH1YP2pm4BnV3d4sB6A8/yEspNFSTkXpqaqpWJzY21mXCtljNVk0kAOjogdgA35QANRA3J10NGZRLBf243J9BAoCOHogN8B0JiIuL83xl/MWLFyXzdXZ28m0hAUBHD8QG+JQExMfHe75RbnV1tfl+PkgAAB09EBsw7SVg1apVktj++usvdwskJCRIBc9z5pEAADp6IDZg+kmAukevuge+uba6zb54AF8VEgB09EBsgK9JgKCuylMX5mVlZT18+PDYsWPr1q0LDQ11eW9/JACAjh6IDfARCRB2797t8mZBUVFR7e3tfE9IANDRA7EBPisBQl9f34ULF9asWZOUlLRq1arvv/+ewEUCgI4eiA3wCwkAJADo6IHYACQAkACgowdiA3xXAqKjow03AewZga8ECQA6eiA2wMclwHwn4MjIyNDQUL4SJADo6IHYACQAkACgowdiA5AAQAKAjh6IDUACkAB2AtDRA7EBSAASAEBHD8QGIAFIAPBjpqMHYgOmkQR8+2/UfYK/dcXGjRv5qpAAoKMHYgN8RwKswxECJADo6IHYAN+RgCQ7OBwOviokAOjogdgAH5EAQAKAjh6IDUACAAkAOnogNgAJACQA6OiB2AAkAJAAoKMHYgOQAEACgI4eiA1AApAAJADo6IHYACQACQCgowdiA5AAJACAjh6IDUACkADgxwxAbAASgAQAP2YAYgOQACQA+DEDsQEwSbHxLO1/mf+5loCysrJNHvnhhx9aWlo6OjqGhob4wpAAoKMHYgO8ITZcZnoP/1xLQHp6uvXHCRYUFCABRC3Q0QOxAZMWG3aTvT0J+PHHH7/99luV4+Pj41NTU7/55hv5f/ny5apQ3k1LS0tMTFQvt2zZggQA0NEDsQHjGBvjlekNKd+MizkBa9askdzW0dFhKO/u7o4aQb3s6upSHtDZ2YkEANDRA7EBthj3TO8h2VuVgFOnTklik3zvsva7d+/k3b1796qX9+7dk5fZ2dlIAAAdPRAb4J2Z3oYErFy5Uhvru2T58uVaheHhYcmCycnJSAAAHT0QG6R578z0NiQgJiYmOjrawwJiCaGhodrLiIiIxMREJACAjh6IDTL9Z2b6qb9PgOR4SWx9fX0ua6uhv/5QgQgBRwIA6OiB2CDNf/6YfuoloKKiQhKbqMDg4KDhrY8fP6ampsq7ubm5qqS7u1v/EgkAoKMHYsMP0/x4Hb33ijsGxsXFqWn/69at++WXX1pbWy9fvpySkqLdHkCrefDgQXnpzwGNBAAdPRAbpPnpGxuubxu8ceNGl3cHWrVq1fDwsFatewR/DjgkAOjogdjwmTQ/adPxvF0CVIL/6aef1qxZk5SUJP8fPXr09evXxB8SAHT0QGyQ431fAgAJADp6IDamV473/jSPBCABQEcPxAY53k/T/PSQgP7+/hs3bqSlpa13RUpKCj9jJACQAPC32JicHO/baX4aSMDhw4c9PzxQf7MgJICdAEgA+EBsTFqC9+ccPw0koLm5WWX6xMTEioqKVjfwVSEBgATAdImNyUzw5PjpLQEOh0MSW21tLV8GEgBIAHh/bJDgiY3xlIDY2FiO9iMBgATAlMfGJGd3cjwS8F/i4+PDw8P5JpAAQAJggpiS7E6Cp9+wJAF79+6VxNbf3+8Nu6OlpeXGCC7fdTqd1dXVhYWFZWVl9+/fd7cSi9Vs1UQCAAkAb8jrZHf6jXGWgI8fP3rJM4H++uuv8PBww9MKNC5evBgWFqa/ZmHHjh3mhx5ZrGarJhIASACpnewOvikBPT097e3t6uqAtra27u7uHldMQsvS09OXL1/uUgJkmC6FMTExjY2NQ0ND0uBNmzZJSVFR0Riq2aqJBAASQGonwYPPSoCk3i9HYxJmDlZXV8uGmpqaXEpAWlqaFF67dk0r6e/vVw8/1O9Bi9Vs1UQCAAkgo39mXic2wHsl4LvvvoseDRkxT2ibOjs7IyMj9+7dK4NyswR0dHRISWxsrGGp0tJSKa+srLRVzVZNJACQAL9K6hM0ZCc2wHslwBvYsmWLjMJ7e3tdSoCM16Vk165dhqVu3Lgh5Tk5Obaq2aqJBAAd/bRO515yNJ7YACTALbW1tZJZ6+rq5G+XEnD06FEpKS4uNiz4+PFjKY+Pj7dVzVZNJAD8sKP38lw+Hc+vIwGABLimu7s7Kipq27Zt6qVLCdi3b5+UVFVVGZYdGBiQ8oiICFvVbNVEAmCadvTTIpH7z6Q5JACQANdkZWVFRkZ2dXV5kID8/HwpuXDhgsucrd3pyGI1WzVdSoCBlwAjNDc3j9eqpl0KN/wjGCYuNoDYGBtGCXj9+rX2hxUmwgCuXLkiSbS6ulorcSkBhYWFUlJRUWFYvL+/X8rFIWxVs1WTIwHgw4NvLmnjSAD475EASWZ9fX2fpvQSwfj4+NjY2Bs6Ghoa1BbVy97eXqlWVVUlJZK5DYvfvXtXytesWaNeWqxmqyYSQJ4miwMSAD4oAZKAlQRkZ2fHj0ZCQsJENEW7P6A71K181aT9rKwsw+L19fX6Sf4Wq9mqiQSQlcnigASAD0qANyDj/mv/pq6uTqV/9VLdqXBgYCA0NDQsLEz+0C8u2Vpq1tTUqJcWq9mqOR0lgMRJ2gY6eiA2poEEmHE5J+DTP085Ki8v10ra29slkUdFRekffWSxmq2ao0oAaY9sTUcPxAZMVwm4P4KHBUatMAkS8Pr1a3VP34KCgsbGxlOnTqmXtbW1Y6hmq6ZnCSCVMpimowdiA6axBKiJgR4WSEpKmoRnB3iWADVST01N1aYLxMbGukzYFqvZqulSAkixQEcPxAYgAf6F2ldkVqCjB2ID/EICEhISPN9Ez88lgH0CdPRAbMA0kwDtLkBKAlzeIMjpdJ46dUreXb58OV+VJgEYANDRA7EB01sCvrTDxYsX+arMEsDeADp6IDZgWkpA7D9o0+LMxMfHr1q16uHDh3xPGhwGADp6IDZg2kuAxqhzAsClBLArgI4eiA2Y9hLQPgLfBIcBgI4eiA3wOwkADgMAHT0QG+C/EtA9gr7k8ePHDocjLi4uKSmJ4wRIANDRA7EBvikBly9f/vLLL69cuaJ3AsPVAeIEfFUK5k8AHT0QG+A7ErBq1SpJbO/evTOUbNmypbOzU90nID4+nq8KCQA6eiA2wNckQBJ8VFSU9nJ4eFiN/j9+/Kh3AsNTd5EAADp6IDZg2ktATExMXFyc9tLpdEqeczgcWok6X9DZ2cm3hQQAHT0QG+BTEiAGEB0drb08evSo5LlffvlFK2ltbZUSghgJADp6IDbA1yQgOTlZEltfX5/mBOpRAlqFiooKQwkSAEBHD8QG+IIEXLt2Td02uL29vaSkRP7WTxHQLEE/cxAJAKCjB2IDfEEChNTUVP0FgU1NTdpbap6gQQuQAAA6eiA2wEckQGhoaEhJScnOznY6nfry+vr6pKSk3NxcviokAOjogdgA35QAQAKAjh6IDUACAAkAOnogNsCnJUCb7f/aGnxVSADQ0QOxAT4iAdplgenp6V+ORmhoKF8VEgB09EBsgI9IQHx8vJKA7Ozs+NFISEjgq0ICgI4eiA3wEQkAJADo6IHYACQAkACgowdiA5AAQAKAjh6IDfArCegeQV/y+PFjh8MRFxeXlJTU3t7O94QEAB09EBvggxKgnhR85coVvRMYrg4QJ+CrQgKAjh6IDfA1CVi1apXh+UCqZMuWLZ2dnadOnZK/4+Pj+aqQAKCjB2IDfE0CJMHrnw+knhgkfPz4Ue8EAwMDfFtIANDRA7EBPiUBMTExcXFx2kun0yl5zuFwaCXqfEFnZyffFhIAdPRAbIBPSYAYQHR0tPby6NGjkud++eUXraS1tVVKCGIkAOjogdgAX5OA5ORk7RbCygnkpf5hARUVFYYSJACAjh6IDfAFCbh27ZokttjY2Pb29pKSEvlbP0VAswT9zEEkAICOHogN8AUJEFJTU/UXBDY1NWlvqXmCBi1AAgDo6IHYAB+RAKGhoSElJSU7O9vpdOrL6+vrk5KScnNz+aqQAKCjB2IDfFMCAAkAOnogNgAJACQA6OiB2AA/k4Bjx44lJibGxsZGRkZqjxJwOp0PHz4cGhriq0ICgI4eiA3wQQl4+vSp4WEBmgT09PQY7h2EBLATgI4eiA3wEQmQUb5K/GpWYHNzs14ChISEBDIfEgB09EBsgA9KgLo3wLFjx9RLdX9AvQSkp6dLSU9PD98WEgB09EBsgE9JwPLly/WJzSwBt2/f5tkBSADQ0QOxAT4oATEjeJAAdYKgo6ODbwsJADp6IDbA144EhIWFeZAAdT9BfQkSAEBHD8QG+IIE5OTkSGJ7+PChOwlQ0wb5qpAAoKMHYgN8TQIk3+svC9RLwPDwcFpamrwsKCjgq0ICgI4eiA3wNQkQDh8+rDzA4XBs2rRJ/vj555/XrVunCsPDw/mekACgowdiA3xTAoSqqqovXbFq1arh4WG+JyQA6OiB2ACflQDh48eP9+/fT0lJcTgckvsLCwsJXCQA6OiB2AC/kABAAoCOHogNQAKMDA4OTlyDHj9+XFNTUzTCuXPnPNyVyOl0VldXFxYWlpWV3b9//zOr2aqJBAAdPRAb4HcSMDQ0VFxcHBoaOhFNaWlpWblypXkiQmlpqbnyxYsXw8LC9NV27NhhthOL1WzVRAKAjh6IDfBNCfg4grmeFB48eFBlxwmSgGvXrkkazs/Pb2xsfDpCVVVVVFSUbLGiokJfU4bpUhgTEyM1xUva29vVVQxFRUVjqGarJhIAdPRAbIAPSsCxY8eio6NVmpd0WF1drb1VVlamjY9jY2Obm5snoilOp9N8I0J1l+LIyEj9VQnqdgUiDVpJf39/XFycFOr3oMVqtmoiAUBHD8QG+JoEZGVlmY/DS+6XtyTra2bQ1NQ0+TslIiJCtt7V1aVednR0KBcxVCstLZXyyspKW9Vs1UQCgI4eiA3wQQlQaX7Lli3tI+zevVuVrF+/Xt0g6LfffpuSPTI8PCxblzZop+dlvC4vd+3aZah548YNKc/JybFVzVZNJADo6IHYAN+UgH379unf+Pnnn5UHpKWlTeEeUZl43bp1WsnRo0elpLi42FDz8ePHUh4fH2+rmq2aSADQ0QOxAb4pAYbz8TLyVhLQ19c3Vbujp6dHcrC04datW1qhyIqUVFVVGSoPDAxIeUREhK1qtmq6lAADLwFGaG5uZicAsQHeGRsuJODdu3eGDBceHh4ZGTlVBiA5+JtvvpGG/fjjj/ry/Px8Kbxw4YLLnK092sBiNVs1ORIAjPaA2ADfPBJgviZe8l90dPSU7AhpTEZGhrRq7969hrcKCwvNFw1+GpnPr64jsFXNVk0kAOjogdgAJGBiGRoa2rJlizQpNzfX/K56uJFkbkP53bt3pXzNmjW2qtmqiQQAHT0QG+CbEvCtCXWS21y+cePGCTWAbdu2eZiWr6YKZmVlGcrr6+v1k/wtVrNVEwkAOnogNsA3JcA6E3THwE8j9yVUBiD/u7xx4aeRU/XSgLCwMPlDXy7ZWhasqamxVc1WTSQA6OiB2AAflIAkOzgcjoloyvDwcHZ2tjKAoaEhDzX37t0r1crLy7WS9vZ2SeRRUVH9/f12q9mqiQQAHT0QG+BrEuANXL58WR1pyMjIyDLR2tqq1Xz9+rW6p29BQUFjY+OpU6fUy9raWv0KLVazVRMJADp6IDYACRh/Lly44OEchP5WAWqknpqaqn+igcuEbbGarZpIANDRA7EBSAAgAUBHD8QGIAFIAAAdPRAbgAQgAQB09EBsABKABAA/ZgBiA5AAJAD4MQMQG4AEIAHAjxmIDQAkAAkAfsxAbAAgAUgA8GMGYgOIDSQACQB+zEBsALGBBCABwI8ZiA0gNpAAJAD4MQOxAcQGEoAEAD9mIDaA2EACkADgxwzEBhAbSAASAHT0QGwAsfFv/m/dQpf/kAAkAOjogdgAX4gNd5newz8kAAkAOnogNmA6xcYYkj0SgAQAHT0QGzBtYmMcM70+37sECUACgI4eiA2YbMY903tO9kgAEgB09EBsgD9meiQACQA6eiA2YHqk+XHP9EgAEgB09EBsgBeleZeZnvsEIAFARw/EBvhypveq2EACkACgowdigzTvFUfvkQAkAOjogdgAn03zSAASAHT0QGyAd+X4yZyLhwQgAUBHD8QG+GOaRwKQAKCjB2KDHO+naR4JQAKAjh6IDXK8n6Z5JAAJADp6IDZI8P6Y45EAJAD4MQOx4XWxQY5HAgAJACQAfDA2Ji3Bk+aRACQAAAmASYqNSc7uJHgkAJAAQAJgwmNj8rM7CR4JACQAkACYWKYku5Pg6TeQACQAkADwwexOgqffQAKQAODHDD6V18nu9BtIABIA/JjB1/K6+kdsABKABAA/ZvCRpG534E5sABKABAA/ZvDejD6hB+SJDUACkADgx0w699Nz7UgAIAFIAPBjJpf76QQ6JACQACQA+DGTxf10SjwSAEgAEgD8mH0tf3OFGxIASAASAP6LD2RucjkSAEgAIAGkahI5IAGABAASQEomhQMSAEgAeI8EkBe9/x8dPSABgAT4nQSQ/Bhh09EDsQFIgD9KAGmV49509EBsABLgdxJAWgU6eiA2AAnwRwkg7wIdPRAbgARMY5xOZ3V1dWFhYVlZ2f3798csAexJoKMHYgOQgOnExYsXw8LCvtSxY8eOwcFBKxKAAQAdPRAbgARMV2TcL7k8JiamsbFxaGiovb1906ZNUlJUVGRLAtiTYIgNdgIQG+DlsYEEfEpLS5P9fu3aNa2kv78/Li5OCkeVMg4DAB09EBuABExXOjo6ZKfHxsYayktLS6W8srLSogQQu0BHD8QGIAHTjGvXrslO37Vrl6H8xo0bUp6Tk8NhAKCjB2IDkADf5OjRo7LTi4uLDeWPHz+W8vj4eA4DAB09EBuABPgm+/btk51eVVVlKB8YGJDyiIgIKxLwJQAAwLQCCfgv+fn5si8uXLjgUgLCw8MxUwAA8FX8XQIKCwsl2VdUVBjK+/v7pTwyMpIQAQAAJMA3qaqqkmQvKmAov3v3rpSvWbOGEAEAACTAN1FXAWRlZRnK6+vrXV41AAAAgAT4CAMDA6GhoWFhYfKHvlzSv0hATU0NIQIAAEiAz7J3717J9+Xl5VpJe3u7mEFUVFR/fz/7BwAAkACf5fXr1+omwQUFBY2NjadOnVIva2tr2TkAAIAE+Dgy9E9NTdWunoyNjcUAAAAACQAAAAAkAAAAAJAAAAAAQAIAAAAACfAbnE5ndXV1YWFhWVnZ/fv32SF+SEtLyw1XdHV1ETD+xvDwsBYPn99vEC1+FRtT3pMgAba5ePFiWFiY/llMO3bsGBwcZM/4FTk5OS4fzHXt2jUCxn/45Zdf0tLS9N/vZ/YbRIu/xcaU9yRIgD1EvmTXx8TENDY2Dg0Ntbe3b9q0SUqKiorYOX4oAefOnbvyb0TVCRj/Yffu3fJtJiYmqnuMuuvoLYYB0eKHsTHlPQkSYA8xO4Oj9ff3q5sLvXz5kv3jbxLQ29tLwPgzT58+lR5Z/e2ho7cYBkSLH8bGlPckSIANOjo61K2EDOWlpaVSXllZyS5CAggYv8VdR28xDIgWP4wNb+hJkAAbiIW5fLSgehShfJfsIj+UAJH9d+/eETDgrqO3GAZEi59LwFT1JEiADY4ePSp7vLi42FD++PFjKY+Pj2cX+ZsEiJurn3dERMTevXsNx+UIGDp662FAtPizBExhT4IE2GDfvn2yx6uqqgzlAwMD6stjF/mVBMhvT/7Pz8+X/2NiYiQGIiMj7927R8DQ0Y+h3yBa/FYCprYnQQJsIF+S7PELFy64/CbCw8PZRf6DQdUHBwcLCgokDBISEj5+/EjA0NHb7TeIFv+UgCnvSZAAGxQWFsoer6ioMJT39/crd2MX+TPDw8PJyckSCdpdQQgYOnrrYUC0+KcETHlPggTYoKqqSva4fB+G8rt370r5mjVr2EV+jlJ47bdKwNDRWw8DogUJmJKeBAmwgZqKmZWVZSivr693OXUT/A116u7w4cMEDB293X6DaEECpqQnQQJsMDAwEBoaGhYWJn/oy9UNoWpqathFfo7hhh4EDB299TAgWpCAKelJkAB77N27V3Z6eXm5VtLe3i5fT1RUVH9/P/vHT+jq6jL8GoWffvpJnZ/r6+sjYOjox9BvEC3+Fhve0JMgAfZ4/fq1ulNjQUFBY2PjqVOn1Mva2lp2jv8ghi5WnpOTU1ZWduHCBfk/NTVV/c6vXLlCwPgP9+/fz/oHFQDay7t379oNA6LF32LDG3oSJMA24l/a96Ru8sBP1N/4888/k5KSDE/9SklJaW5uJmD8TQe/dIOhE7cYBkSLX8WGN/QkSMAYefny5a1bt8T1hoeH2Rv+yeDg4O3btyUM5BerP3BHwMBnhgHRQk8yabGBBAAAAPgpSAAAAAASAAAAAEgAAAAAIAEAAACABAAAAAASAAAAAEgAAAAAIAEAAACABAAAAAASAACuuXz58oULF7q7u0et2dzcLDW7urrsbmLMC1pnaGho2u35+/fvy275888/rS9y48aNixcvju3rm/L48YyspKmpid8jEgAA/+LUqVNZWVk//fST52q5ubmGp8ZZJCoq6ssvv5SENGrNLVu2SM3bt2/b3cSYF/SMWEVJScny5cv1jzOR/VBdXT2FSdE6hYWF0uYffvjBYn3RBal/8ODBsX1948jjx48l2KqqqsaxAWpvtLW18ZNHAgDgf/jtt9+kcwwPDx8cHHRXR/Kr1AkLCxv1yR8+IwH37t2Ljo5WuT85OVlyUnp6uuwlVSIjZt+TgLS0NPmKDQdUpkQCysrKZKP19fXj2ACn0xkaGrpx40Z+8kgAAPwPw8PD6qHdhuPAevLz86XC7t27x7B+6524WMjAwMDHjx+nXAKGhoYSEhJknd99993r16/1+0rkQJLrtDiwbEsC7t69K5X37t075q9vHFm1apXoyLt378a3Abm5uZP/WQAJAPB2fvzxR+kcN23a5PJdSczSI0sFl8//HkcJGDPjLgGNjY2ywoiICPns0/drtSUB27Ztk8rm0z2TLwEvX76ULUp7xr0BEsCyqqysLH7ySAAA/A/t7e3qKHdnZ6f53draWnlr+fLl5rceP35cVFSUnp4eGxsrmbi8vNx8slzrxOUtsY3169fHx8fLmKyhocFQs6qqSvLWX3/9Zd5QW1tbcXHxxo0bZUMpKSnff//9lStXtMl6HiTASgvNXLhwQR0GsLgDS0pKpOUdI0g7161bt3Llyl27dt27d89lfeutslhzcHDw559/Fo1T1eRv2TnWJUDWKTVjYmIsOpxs7vDhw7J+iQ3DHnj9+rX8Ld+yBMzu3bu1c/C9vb1Hjx799ttvpYU5OTkehFLCQLZYU1NjN34MzTh48GBaWppsTguM4eHhyMjI0NBQaQy/eiQAAP4H6S6lqz127Ji7tyT9uDx+oOYTSP5QRwvkj5aWFnMWOXfunDrpoHphtWBlZaWVAX1paamqLwvK+mUN6qVW092CFltoRgxDNdXDPAnzZ/zpp5/Up5PEozXS8Blttcpizb6+PhEjbeqimsog6VadxLEiAUp6XJ7uMUtAT0+PSIkU7tixQ9s/qtovv/wizdN/yxEREdJakUt1ekX/7V+7ds1lY0T15F1taoL1+NEqV1dXq2bIHpPK8m1qFdQZgbq6On7ySAAA/A8y8JLOUcav7g4SyOhKXy4JTwplTHbr1i1VIkNPGepJoXTW/f39hn5ZkoEM39UoVgZkMlRVSd3pdHqWAPESKZSVyKBTmy4gGULWIKNkDwtab6EZ+bDqU0tCsnIgWn1GSdUyxtVGmZcvX1bpSj/qtd4q6zVlx0rhunXrXr58qUr+/PNPqaOmMVqRALUGNRvfswRIOk9MTJSS4uJiczX5lvft26f2wMDAwK5du6QwNTVVHCUrK0vNrpAvUcbr6qNJJBg2J8vKW1J/DPGj/yJEUFTESmX9sRO1V81THwAJAPBrtBP/hrPCap62YU61jAWln5UuWBTBsJ6CggKpf+rUKUO/LANTQ82MjAz9UV+XuVzShjmPmjEvaKuFLlHyoQ3EpbUHDx787bffzHlL+4zJycmGWY1qJWlpaXZbZb2msjT57gynctQFHRYlYP369e4uedBLgHILl3tPVTPEiQSV+vrMe0YdGDAfvLl48aLhiJT1+NEqiw+5+6TyGQ2SAUgAAPwXdfRY/tdKJOHJcM184cAvv/ziboJVU1OT4S3VLzc2NhpqVlZWSnlhYaGHXF5dXS0l6enpnltuXtBWC90hNdVxbz2yQ/SHl/Wf0Zwa1bhWkKRuq1XWa6qhbU5OjrmmpF6LEiDjbJezAvUSIAIk1cQ2XB7Gd/ctq3NJMnA3lKuDBObD8tnZ2VKuVx/r8aNV1mYqmFFzAyMjI/m9IwEA8C/URWLapVlajyldv+HU+N69e6VcUu8VEyp76aeYqX7ZPEXu8uXLBucw5/Ldu3ebb19jRQJstdAz3d3dkoGOHj26adMmTQUMaUZ9RpeHK9S9htRb1ltlvabaRS4PbKiD/FYkQH0olyc+1EdT7ZGNupvq6O5bFllxeYxBGadBLj9+/Cjhl5SUZGXN5vjRKnu4TkTWo84j8HtHAgDAyMqVK/UZTg3L9u3bZ6gm484vPSJ9sXkoaViJmnznWQLUhi5cuGBXAmy10DodHR3r1q1Ti+uPb3u4jE21TWVB662yW9N8cOKTnUsE1UF7lwlefTSFBxtztwc8S4Dhm1XH6i3estAcP58sXE+ozpKEh4fzY0cCAMCIOof9zTfffBo5lK1yg/nm82qKdWlp6W036NPJ50iA2tCotzR2t6DFFtqipaXFcG2C9hldHk5PTU2Vt3777TdbrbJbU4bF5k2r2QNWJMDDkQztTIeab+/y+pHxkgDVYMM4fnwlQJ1MiY6O5seOBACAEafTqTLcy5cv1fl4h8NhrqZmdxv6X7tjRCsSIINCK3cqNC9oq4W2GBoaUrtIm7T/yf156+HhYTVF/+nTp7ZaZb2m5HjzqXGFuv+PFQn47rvv3F2zp3198hHUrMAff/xxgiQgNjZW1mOYejm+EqCW4n5BSAAAuEZNui4vL1czxl2OwtUxVRlOeb7Q7vMlQG0oIiLC891d3C1osYW2aGtrUxLQ2tpq+IwyKDdUVpMqtPP31ltlvaY6hJ6YmGjInT09PepyDysSoG5I4PJov/7rEzVUs/oN1weOiwSos/XW71s8NgmQlkuFw4cP80tHAgDABWq+lRrzhYaGuns+r5r1LWNN8411Ozo6zLO7xyYBgroNjgxVDZMTJTtq13+7XNB6C83U19dL7jTXERf55ptvVNI15x7DEfW+vj41P19/nyXrrbJYU3K/mslhuJuTmjBoUQKUc6jTQJ5zsNPpVFMdLWZf6xKgRMRcc3wlQJ2dGfcHTgISAOAjfPz4UbvbnYejpiIHKhnEx8cXFRVdHqGkpESlLv08tc+UgM7OTmUksjkZqspS1dXVkuHCw8M93zHQegvNqLapC9xlbCp5VEaQu3btUpfSyaYNp//VZ5QkKtq0b98+2VBlZaW6qc6qVav0Wdx6q6zXVMcb1NUEklZl/0iqk0YqX7EiAeohUtJ4dSmj57Qq7qU+mv40zedLgMPhCAsL024FPRESoO6OLPuTnzkSAABuUYdMBZe3Z9cPiyXBqGPOGvIyJydHu3Xd50uASoeSgLWbxSokF2pbcbegxRaakfFuaWmp5G/DnHxpg2Q1dYLfZe45fPiwfnMyjjenVeutsl7z1q1byhgUK1euFE2x9QCh8vJydcNdKzlYPpTaOdnZ2eoqic+UgL/++suddI6jBKhpLhUVFfzGkQAAGB9kEKnuJNPU1CTZ0eUN9caFwcFBGfJKOpH/bZ3p/5wWysBU3EItKytx95hjfe6RtkkLpb7+GcSf0yqLNaX8zz//lGqjPhnB3ShZ9MLDvfYmFHXLIw83+RkXkpOTIyIizFoGSAAAwNiZ/OftTgSHDx82XPUwaag7M1p5wOOYUY+HPnr0KOGKBAAAIAFGBgYG4uLi1q9fPyWbNs9/HF/WrFmTkJAw0VsBJAAAkAAAQAIAwD/Izc3NysryfNkhACABAAAAgAQAAAAAEgAAAABIAAAAACABAAAAgAQAAAAAEgAAAABIAAAAACABAAAAgAQAAAAAEgAAAIAEsAsAAACQAAAAAEACAAAAAAnwflpaWm6M4PJdp9NZXV1dWFhYVlbm4aHmFqsBAAAgAd7CX3/9FR4e/uUI5ncvXrwYFhb2pY4dO3YMDg6OrRoAAAAS4EWkp6cvX77cpQTIgF4KY2JiGhsbh4aG2tvbN23aJCVFRUVjqAYAAIAEeBHV1dWSrZuamlxKQFpamhReu3ZNK+nv74+Li5PCly9f2q0GAACABHgLnZ2dkZGRe/fuleG7WQI6OjqkJDY21rBUaWmplFdWVtqqBgAAgAR4EVu2bJHxem9vr0sJkJG9lOzatcuw1I0bN6Q8JyfHVjUAAAAkwFuora2VJF1XVyd/u5SAo0ePSklxcbFhwcePH0t5fHy8rWoAAABIgFfQ3d0dFRW1bds29dKlBOzbt09KqqqqDMsODAxIeUREhK1qAAAASIBXkJWVFRkZ2dXV5UEC8vPzpeTChQsus3t4eLitau740sRLgBGam5vZCUBsgHfGxjSWgCtXrkiura6u1kpcSkBhYaGUVFRUGBbv7++XcnEIW9U8SAAiCS7h0hIgNsD7Y2P6SUB8fHxsbOwNHQ0NDUoC1Mve3l6pVlVVJSWS4w2L3717V8rXrFmjXlqshgQAHT0QG4AETD3a/QHdoW76q6b3Z2VlGRavr6/XXw5gsRoSAHT0QGwAEjD1yLj/2r+pq6tT6V+97Onp+TRyUj80NDQsLEz+0C8ueV1q1tTUqJcWqyEBQEcPxAYgAd6IyzkBwt69e6WwvLxcK2lvb5eUHxUV1d/fb7caEgB09EBsABIwbSTg9evX6u6/BQUFjY2Np06dUi9ra2vHUA0JADp6IDYACZg2EqDG9Kmpqdp0gdjYWJep3WI1JADo6IHYACQAkACgowdiA5AAJACAjh6IDUACkAAAOnogNgAJQAKAHzMdPRAbgAQgAcCPGYDYACQACQB+zADEBiABSADwYwZiAwAJQAKAHzMQGwBIgD9IwJcA0wp+5kgAIAEwnhLAfgMfjnBAAgAJoIukVwUkAJAAQALoIulVAQkAJACQALpIelVAAgAJACQACQBAAujoAZAAJAA80tnZefYfaCQSQEcPxAYSgARMLE1NTSH/ZsmSJV9//XVmZmZDQ8MkN+bKlStf/IPX7rFp0UgkAAkAYgMJQAJG59dff/3CPRkZGeRXJACQAEACkADfl4C4uLiUlJQVK1bMmDFDK2xubia/IgGABAASgAT4uARIejPnuTNnzujrv337tra2dtu2bRkZGfL/2bNn+/r69BX+/vtvWefx48e3b9+eMUJeXp6scHh42Lz1e/fu7dy5MzMzs6Kiore311Z+lWVlzbKsbEva4HQ6a/9BVXj16pV6eenSJXnZ0tLy/fffS3vkD1vttN7I9+/fy+bUCuV/+Vu2ggTQ0QMgAUjAdJKAgYEBrbC6ulo/CA4KCjKcMpg9e7Z+ipy78wsLFy588uSJftMHDhzQV5g3b15paalFCTAsO3/+/LKyMsOy0ir1MjAw8OTJk4aPabGd1hvZ0NAg75rX9uDBAySAjh4ACUACpo0E1NXVaYVq3Cz8/vvvWuHcuXPXrl0bEhKilch6tBXOmDFj5cqV6lDB5s2b58yZo+pERkZq27169aq2rIiFrE1kQp8+PbRZ3zxJ8LLsrFmzzMtqEhAQEKA/waFJwKjttN7Ie/fuaZuIi4uTFX711VfqZXBwcFdXFxJARw+ABCABXi0Bkr1SU1MdDoeWzwoKCrSa8fHxqnDp0qVv3779NHL0OyoqShVGRESoam/evOnu7tZv4sWLF9omnj17pgoTEhK0tfX29kqJLLVo0SIrEqDl1yVLlmjLypjbnQSoEbnk6Q8fPkgDnE6nxXZab+SKFStUSXp6urkwPz8fCaCjB0ACkACvlgA9MrY+ceKEVk3Sp/ZWZWWlVl5TU6OVqzQpyB9q3oAMrzeMoNWRsbVUGB4e1jzj+PHj2trMh/TNWF9WLwF//PGHeVWe22l9Q/qds3///iv/sHXrVs0hkAA6egAkAAnwaglYtmzZ6tWrZ86caT7I39raakjkiuvXr2vlN2/elBL53zxvwHAo/u3bty7XdunSpVElwPqymgTIJzKvZ9R2Wt+Qfue4MyokgI4eAAlAArxaAlSGlvHxkiVLtHP/avK/0+k0Tx34NDIbTiu/c+eOjJ6Dg4O1EwTnzp1TY2LDsvqJh/q1ybh8VAl4//69Vke7EMAw7jeUBAYGmg8njNpO643U75yEhIRUE/pzBEgAHT0AEoAEeK8ECLdu3dIKi4uLVdbUjhDoJwocOnRIm3wndZ4/f64t2NTUpOq8evXKvAltht2ePXu0te3cudPKnABtEv7GjRu1QofDYV0CLLbTYiPlg2szEw1XVPp2hAMSAN4cG1/87/+j/iEBSIA9CfikmxMnGVQdDNCSnyQ8SXVv3749f/68dkRd5eOuri5tbeIHUtLT05OcnGzeRHZ2tnas/vTp05KAT5w4oZ/D76HN4iVatczMTEn2aWlpHq4OMEuAxXZab2Rubq4qCQkJEYVShbKLLl26JKuVZZEAOnqAyYwNzQCQACRgLBIg42OtvKSkRKVJ/cR4PZL5tKvgtKn7KndKytQvpW3C6XRql+RpLFiwwIoE6K9K0Fi9erV1CbDYTuuN7O3tXbp0qVYeEBCgv2oRCaCjB5i02NCnfyQACRijBAhxcXHaJfLqmkDxgJ07d0qG02e7rVu36q+Df/PmjT6/yt+dnZ0uN/HgwQNt8oHk4O3bt58/f97izYIk6crgWzK0NECEQBbUTtVrs/A8S4DFdlpvpDRpz549si3DlMC0tLS2tjYkgI4eYBJiw50BIAFIwLgxPDwsqbGhoUHNBHRZ59mzZ1Lh+fPno66tpaVFamqXF1pvg6FEux5P0rn19Vhsp61GPnr0SCpfv37dcB8CJICOHmDiYsND+kcCkABfY9myZeXl5eIib9++laS7f/9+bfCtv70BEK5IAPhDbIxqAEgAEuBTzJ071+XshA0bNrBzkAAkAPwnNqykfyQACfA18vLywsPDtYn6M2fOXL169fnz59kzSAASAP4TGxbTPxKABAAQrkgA+E5sWD8AgAQgAQCEKxIAvhMbdtM/EoAEABCuSABM+9gYwwEAJGAqJQBgGsHPHAkAr42Nz0n/SABHAgAIVyQApmtsfL4BIAFIAADhigTANIuNcUn/SAASAEC4IgEwzWJjHA1gMiRgcHCwubl5/fr1CQkJERER0qeEhYVFR0cnJiYWFBQ4nU4kAAAJoKMHGDU2xjf9T7gEdHZ2OhyOUacdRUZGHj58WFwBCQBAAujogdiwYgDjtcUJkQAZ369cuVLleBn3JycnV1dXt7e3v379uru7u6urS/ygra0tNzc3Pj5es4GDBw8iAQBIABIAxMZEHwCYQAl4+PChSuqrVq3q6OgYtX5/f78oQnR0tCwSHh6OBPgAw8PDHz58cPcsQY2/R7C1Wnf1pVw919giTU1N169fH/MHlM3JB5zMXfrq1auzZ8+KPY/7Oj3vNyQACYApjI0JTf8TKAHZ2dl2HwIr3L59OyYmBgmYvrx//37Dhg0hISHak3sWL1585MgRc82rV68uWbJE1Vm0aJGkolFXnpeXFxAQIPWXLl364MEDw7vJI1hs57Nnz2bMmHHmzBmtRIRA2rlx40bRUGm/KIK73F9SUjJ//nzV8lmzZqWnp3vY0Pnz50PccO7cOVv7tra2VrZ45cqVcfy+JP0HBwfn5+cjAUgAeGFsTIIBfOLqACRgfJNKYGBgWlqa5JWTJ09u27ZNCUFubq6+Wl1dnRQuXLiwsrJSqkVERMhL+cPDmsvLy8UAGhoaurq6Vq9ePW/ePP1AXFYo7z5//txiO1NTU2Xr+hJptrRBzEB5xq+//mpeSraYlJQk78bFxRUXF1dUVGzevFk+oIcN3bp1K9VEUFCQrKS5uXnKJUA4cOCAfGQP83ORACQAJj82Jif9IwFIwPhjOAXQ29urxs2SvLUKUiKJUCvp6+uTEknDHo5LR0ZGiluov9va2vTpcGBgQBaXrGyxheIKsnhpaam+8MyZMzL6l4G+iIs7Cdi/f7+8Jf97+Lyj8ubNG1GNxYsX292xEyQB3d3d0p7vv/8eCUACwEtiYzINAAlAAiYcGS5L9tJOwF+9elVe7ty5U1/nP//5jxTW1NS4W8msWbOys7O1vCuVtTMIBQUFMqx///69xfZIfVn81atXLt91JwFiKjNnzoyIiPjMvSHyYVYQl7S2tu7ZsycjI+PQoUOSql1KgGiT6MvWrVszMzOPHDmieZVGS0tLXl6etpLOzk5Zj2Hc73A45syZ485mkAAkACaNSU7/EygB60Zobm4ew8wAJMDHSEhIkLFmT0+Pfjx96dIlfR1RBCmUTOZuJSEhIZLJ1N+yKqksyUz+fvLkiay8rq7OenuWjODuXXcSoHKwpNJPI+cFxAnsHgNQLF68WBpsztYGTp48KZsLCAhISkqaP39+cHBwSUmJQQLk9zVv3jw1qSIqKkpWGxgYeOvWLa1CeXm5WklycvKCBQtcrkSoqKiQwps3bxKuSAB4jwFM3nYnYqWJiYnahX/SPfmwECABZiRHNo8gqXTjxo2SYMrKyrR3N2zYICWGmXcDAwNS+PXXX7tbZ3Z2tuRCdb5A1iYJ78WLF/L3ypUr165da71tkrxlQ9IquxKwc+dOdfhBlpWtqwkEsmlb0/V///13WXDUBj969EhWHh4errlCaWmp2qiWv9+8eSPDd0ntbW1tqkR2iNjA3Llz5TPKywcPHqjpC5p+SbI3rEQhH1YKi4qKkAAkAPznAMDESsDTp0+/+eabmJgYw32BfE8IPl8CzF//NPrn8gOqkbpCEpVhxl9KSoqUd3d3G7xBCj1M75d0uHDhQvEANTVPjchrampmzpypbOD9+/cNDQ1//PGH552vEp7hvL4VCVA2IyNvacaJEycuXbqktCAkJETLsqOiVj7qef3t27dLNcNn+eqrr/TLqpMad+7cMR9QUTs8IyND/haf0FcQZ3J5TkEKRc6QACQApjz9T35sTOycgP7+ft8WAiTA5ZGA2hFk6BkZGWlIujLclxLDHMBRJUCl+fPnz587d661tVWlLknABw4cUMkvKCho1qxZMtKVsa+HiJI1yIb0FwdalAB1AGP27Nn6I/kyevasFIajHaIswcHBo55HWLx4cWBgoKFQvEefv5ctWyaNeftv1HEOdd5EZEX2iWElR44cMUuAmmPh7vgEEoAEwGQeAPA1CTB0gu3t7TKiio2NNQhBdHQ0EuAzEmBAjd21K+LS09PNF8iNejrATH5+vuS5DyPMmTNHZT6n0zl37lzDFYnjIgGZmZlSvnnzZn2h2IYUJiQkWGmwOs3v+aJ8hdhMfHy8obCmpkafv6XOF25QY3qpsGLFCsNKXM4uRAKQAPCG9D9VsTE1VwdoQqAkIDQ01G8lwOdReVdLfuoouiEP3blzx5xiPdDW1qbNB1R3HdBuH7R161YZbbtb0PP5bw8SoCbZGS5q+O/v54svRDustFnyulR+9uzZqDVliG+eunj27Fn9fgsMDJTt3nSFOgUQFBS0aNEizytRcDoACYApNIApj40pkIDu7m7puFetWqUeKogE+IMEFBQU6Aej2kuFmqB+4sQJi+uUMa42clUrFK3UVhUQEOBuQTVfwYNtuJOApqYm84LqAMayZctGbfCTJ0+kpnl87+7TyUcw3CA5NzdXn78dDodokIcTH7J/zBXU8QyDBKiZBIZvBAlAAmAyDwD8v/bOBySqdP//FyIuS0gEEfuTJWKhveYgYslVxEJlQNe8iYhsW2FbrEu6mPW7hnEV2WtfbEmkbJHaypAKidVbrHXRbftJDLTG2h9klW3tjyHjJcRvoBfL/Dr0+3x9vvd8zz0zjmd0Zpw55/ViWZzHpzN//Jzn/XrOPOcc60uAd/AL8rO0dHZ2GpaJIQFRis+r/ajFaF1dXerh27dvZZIaGxurdfZ4PA6HQ2JvwRPnFGo9oHaif0BHAgSZH/u5RYWfiwVt2LBBJt/6WFWHB/RH+L+bw/vfqnV8Fy5cMPMG1bUEvvnmG61FnlTelD6/RZjkoc+L/Kg1B94dnjx5or5EMEiAPNF8bxkJQAIgbPFvQQmQaL927Vp2draMuYb1gHfv3jW/phoJiBa+/PJLmaFKNP7tb3+TpNEWBooHeM/709PTb9y4Idnz8ccfy0O1xM+MZ4hA1NXVaS1qTYCao6s1ARUVFX62cPjwYXk6wwVzLl68+Pkc6o4GUrTq4aNHj7Q+yjbEXOXdyexZolrERbJZ7y6/n8M7laWbBLDJKxrJe1y/fr30lw+qv79fPqItW7aIuxjyWy222Llzp3yMLpdLXpIEv3yqWpzLz2qlRWtra01NjbwGeV/eEiAdVq1axcWCkABYdgOwjgTs27dPH/zJycn5+fmDg4PqDGYrgQTokbDRbq6jiImJkUmwd/idPHlSgkf1kSg1f9Ffmdpu3LjRcKhc8k88QFJTNrVt2zb/ZaaOzIup6BvVCXXeGPLy6tWrakauSEtLM9ywwKcEKHvYv3+/+U/y2bNnosvaE8nLu3LliuH1yKcqn61+heCKFSvEt7RlByIT8nHJC5aPRdzl0qVLanWhSIP+GIP81s9SSiQACYDwxL+lJEBdLEgmIg8ePNC+rLUkSIA3kiuSyl1dXRK3frpJkPf09Pz4448B3U1Yprk+19bJRuRJ1dmDC7J9+3Y/Fw30j8yYf/75Z3Uro1B/kuLN8kT+vyyT13P//n3pdu/evQVPPqyoqDAsTlRXXprvIspIABIAYYt/S0mA0+k0HAZ49OiR9Q4DIAFRyi+//CJZ6PPLeythWKLx5MmT1atXb9q0SWt5+/ZtbGys/29PKFckAMJmAO+stCZA5kkdHR1iA/Hx8frrAXDFQEbVSKBrDmu/x4KCAtkBa2trz5w5U1xcvGrVqpUrV+pvLvDixYsLFy743xkpVyQAwhP/VpMAbyEwrBBMTEzMzc1d8GgnEgCwONra2vLz89euXRsTEyMz/j179pj8uoRyRQJgWQzgnR2uEyCRf/36dW8hQAIArFHhgAQQ/1FUG79brk9tamrq7t27Ev9cLAgACUACwObxbwsJUFcLLioqMtw+AAkAQAKQALC5AVhTAtSNBPPz873vG6QuHBTVJw4gAYAEABJA/EdvbYREAiTU+/v7Jfjnu4NwX1+fNU4QQAIACQAkgPhHAv4NdbEgw4kAvb29wQr+mZmZO3fuqIuhVldXNzc3y8bn6+x2u6WndGtoaBD5WGI3JGAZ8Xg8811ZSNp93rlgPnp6en744QfvdnVv4jC/rxcvXly6dGlkZCTo2wzoM6FckQBYXgOwlASo4He5XKG4R8DmzZs/8qKwsND7bMOOjg79hQqEAwcOTE9PL64bErAgkqwnT57ctWuXw+GIjY2VrPXus2HDhlgvFrx0T0VFxcqVK3/3u99t2rRJu12QRvYcJl/kb7/9tmLFiosXL2otEpZHjhxZs2aNuv7uqlWrSktLFyzdxb0Rb9SNEA2XKF4i8o7WrVunv7kREoAEQCTHv6UkINQ3B/r8889l9n/79u2hObq6unbs2CGjVX5+vr6bTOjVJQu7u7tnZmak5+7du6XFcDt5k92QADPExMSoi9irwPZ5b7rf//7377//fsG/o7+IjTeNjY2yQXWx3o8//lj+uX6+/v3338tvDZfx94M8neS3vmXbtm3yauX/ra2tMoFW9zRKSEjwfyHeRbyRsEmA8NVXX8nHYrhVEuWKBMAS4z90BvDOkgsDDx06tGCf4uLiJT7L1NSUWn+gv+1bYWGhtNy8eVNrmZycTE1NlUb9B22yGxJgBpley+z/v/7rv/zck1eyc/v27QFtNjExUf5M6ufBwUF9ZMqf/oMPPjB/CyJxBfnn9fX1WovL5VJ3NdR3k6dbMJgX8UbCKQFjY2NiYz5vN0y5IgEQUQcArCwBRUVF/jO+pKQkKKcIynZkwLp9+7Z6ODw8LA9TUlIM3WT0l/bm5uaAuiEBizhaE0QJeO+990pLS9XPMjuXLct8XT2sqqqSab3Ju/Sq/vLP9bfMURnc0NCg7ybbl8YLFy6EQgL6+/sPHz4s+8XXX38tUe1TAv75z3+KUe3fv/+zzz47efKk9/2KxHcrKiq0jYyMjMh2DPN+p9O5Zs2aBW8sRLkiAbDs8W/lIwF+Dq2r33pncKDIMJeRkaGfu8vMXh4ePHjQ0PPWrVvSXlZWFlA3JCDoEvD27duJiQmTq/BiY2M1lRwfH5ctS+C9m7svsEx2v//+e/Mv7A9z6Ft++ukn2eCePXv0jbW1tYa77gbljQjffvutuoFyVlbWBx98sG7durq6OoMEuFyu999/Xxo//PDDpKQkeY8xMTH6LxoaGxvVRrKzs9evX+9zI0JTU5M0/vjjj0gAEgCRbwDvrHqxIBnsZCg5e/asof3o0aPS7nA4lhj/jx8/lmmibErGQa391KlT0uJ9lHhgYEDa09LSAuoWOgn4rfD/RO9/i5YA4Xf/YsuWLT676ZG/r+SlWuuu7n777Nkz+VnML6C5uKS1POOuXbsM7YWFhbJNmXDLU0icX7hwYdWqVVK3/re2iDfyyy+/yBNJzWsz+/r6emnR5/c//vEPmb5LtA8ODqoWebNiA2vXrlVX1Lh//770T01N1RbfSNgbNqKQ1yONZla3IAFIACxv/FtZAgS19l7/vfuxY8fUOvxFb1Md/9duWKzfuGYYLS0thn81NTUl7QkJCQF1QwKCKAGSZ5999tnFixdbW1tl/q2WEOrX6nsjkblhwwbxAAlm6fz111+/m7tBjmSwsoE3b950dXX9/PPP/j98FYp/+ctfvH8ljSpHFRUVFQseRV/EG/niiy+kj+F1/vGPf9Tnt/rC4qefftL3+eGHH6Tx22+/fTe3hkZ+Fp/QdxAf8vmdgjTu3LkTCUACIMLj3+ISMDk5qdL64cOHajKnHs7MzCx6m+fOnTt06NDBgwezs7NlU1u3bnW5XNpvjxw5Io3t7e0+0107/GCym58h0sDzhUACDOEqiShZLjNv+cz9bFBi/rvvvrty5Yq6FZ7EW2xs7FdffaUCcvXq1e+9956kuMyP/VyOQrbgM6dV7qanp3/zzTdnzpxRZwfs379/waNQgb6RjRs3xsTEGBrFafT5vWXLFtnIP/8ddQxDfSciPiTv17CRkydPekuAWj+xlNWLZkoaAkVGKj6EyMHn+n/L10a4JeDd3KJuFZNqzZ0QxIsG3rp1SwJbJu7Dw8Oqpbq6Wp6iqanJp45o9y002S10RwKsih8J8EbiNtDl8WJvkoXq2j5r1qxR6eh2u9euXVteXh6QBMjzeq8JUFrgXRhLfCNiKt7fMbW1ten/lfT53TyoOb102LZtm2EjPlcXBkUCmCNyJIADABwJCFpUazPmJZ6+7M3x48dls9oa75aWFnkoGW/o1tvbK+25ubkBdUMCQioBFy5c0C/4NyOU2npA+b/8W+3yQRLD69at8/91gOE78l27dnmvnpP6lEbDlSeW/kZkim9YlvjuX2ciaPkdExMjKvOjL9RXAKtXr/7www/9b4SvA5AAiK74t5QEjM/PiRMnZFiRiDW0L/1JOzs7ZcvaZQmUcJSUlPjspp0OYLIbEhBSCZC5e0BHAmQerM1u1QxYOwIvc/eVK1f6qUzvSX9RUZE0Gi5u+OrVK2n805/+FNC7XvCNyCuXl2e4+LHhXzmdTlEcP8fJ5L17d/jss8+8n1qtJKiqqkICkACIfAOwiASoC/AFRFCuE3D69Gn9uYiSCrLZ+Ph4wxe0kuvSra2tLaBuSECwJMD7hP5nz56tWbNGotH7qs8+UesBtRP9AzoS8G5uNZ9hqcdXX30lW1DLCzS++eYbafziiy+0lu/mWOIbqa+vl83KxvW2IS9Yn99nzpyRhz4v8qNWIXh3ePLkifoSwSAB6l2YVDEkAAkg/pGA4EjA5gBJTk42v/3R0VHvhVdDQ0PqVsX37t3TGisrK6WlsbFR300iPykpaXJyMtBuSIAZLl68+Pkcf/jDHyR+srOz1UPtSo5ffvmlzHTl0/7bHLW1teqK/fpL+PlBrQfUnwuq1gSoyb1aE1BRUeFnC4cPH5an038bpU7JUzPmrq4umT2rC+5KrP76669aN3VCoPZwcW9EXv/69etly01NTf39/RLPW7ZsES8x5Lc6CWLnzp03btxwuVzykiT409PTtTiXn9WBCnUbLdEI+ai9JUA6rFq1iosFIQEQ+fFvHQkINTLMycRdZuoNDQ3t7e3Nzc1lZWWS2TJaGSZPogvq6r8yuHd3d58/f149VNeZCbQbEmAGdfaaN1o4ffvttxJL+l9JKKoz38wgf+KNGzcaDqdLRkoAS7JKcm/btk2dTD8fkuvypHrnezd3+n5aWpr+VSUmJhpO0jNIwKLfyLNnz8QvtX8ln9iVK1cM+f3mzRupRv0KwRUrVmRkZPz222+aTMhHIdkvbzkhIeHSpUtqdaH+6kavXr2S3/pZJkm5IgG2jf/INAAkwBQPHjzIz883fKEg46NMibw7y5y+oKBA65aSkuIz2k12QwKCxdjYmCS3TLsDXR8qU2EtCPWIFsgG1dmDC7J9+3bv1XkqNX+Yw+QXE0t5I4ODg/Kv/D+RzODv378v3e7du7fgbL6iokIkQP/hqKsq6S+QjAQgARhAxMY/EhCVIAHRiMz7JS8Xcc/fyEFdPFHjyZMnq1ev3rRpk9by9u3b2NhY/9+MUK5IAPFPbSABSIAd6Zojel9/QUGB0+msra09c+ZMcXHxqlWrVq5cqb+5wIsXLy5cuLD0S3FQrkiANeI/KgzAIhLw8OHDyspK/1d/88m9e/eWfichJADsQFtbW35+/tq1a2NiYmTGv2fPHpNfhVCuSAAHAKiNkEuA+mZdBqmRkZEF+4suyIim1uIF5VxBJAAACWCgJ/6jK/6tIwHC8PDw1q1blQo4HI7s7Ozm5uanT5++fPlyfHx8bGzM7XY/fvx479696enp2nI8/XlfSAAAEoAEgH3i31ISoKmAuomwfxISEhoaGpZyJyEkAAAJYKDHAKLdAN5ZcmHg69evXS5XXl5eWlqaw+FQx/yTkpIyMzPr6+uDfgcBJAAACWCgJ/6pjUiRAIZIRlVAAgAJIP6RAIZIG42q/zWH+f4ej2e+/tJuOC3ePz09PT/88MPSX5KBFy9eXLp0ycxa10C3GdC7QwIY6MGqBoAEIAFW4MaNG+rGAcKHH35o5gbBFRUVK1eulP6bNm3SbgWkkT2HyWf/7bffVqxYcfHixSW+JG/U7QrN3+rQDBL/69atO3LkCBKABIDN4x8JQAKsgLqn34YNG5qbm7/99tuEhAR56P+K+o2NjWIAXV1dL1++/Pjjj99///23b9/qNyi/ffLkickXUFBQIM++xJcUNgl4N3cPQ3mDEbs4BglAAoh/JACQAFN4PJ4PPvhg9erVEueqZWJiQlpiYmL8HPFOTEwsLCxUPw8ODuqDdmpqSv55bW2tyRcgrmC4j9/iXlI4JWBsbGzFihU+bxyMBCAB8C6aL/+HBCAB9hpVb9y4ITH55Zdf6hv/4z/+Qxrb2trm+1fvvfdeaWmpltnSWTtcX1VVJTP4N2/emHwB0l/+uf6WOYt7SYr+/v7Dhw8XFxd//fXXEtU+JUBM4uLFi/v37//ss89OnjypqYbGo0ePKioqtI2MjIzIdgzzfqfTuWbNmqXc8BcJYKDnAAC1gQQgAcvMX/7yF4nJv/3tb/rGH374QRolI+f7V7GxsZKR6ufx8XHprG7h+Ouvv8oU+fvvvzf/Av4wx9Jf0ru5OwVLn5UrV2ZlZX3wwQfr1q2rq6szSIDL5Xr//ffVOoOkpCR5tTExMfoL+Dc2NqqNZGdnr1+/3udGhKamJmn88ccfkQAkAGwb/0iATSXgP7/fEL3/Gd7azp07Jcx6enr0jVNTU9L4pz/9ab4PpLS0VFJWHZxXd7999uyZ/JyRkbF9+3bzH+zExIQ80a5du5b+kn755Rd5GQ6HQ5vZ19fXS4s+v//xj3/I9F2ifXBwULXIyxYbWLt2rbwSeXj//n3pn5qaKmajhb1hI4q///3v0lhTU4MEIAFg2/i3rAQ8nAMJsIME5OfnS5iNjY3pG9++fSuNfpb3S9Bu2LBBPEDm3NLz66+/fjd3g5zf//73ygbevHnT1dX1888/+/9gVZTK1H/pL+mLL76QDoZn/OMf/6jPb/XVw08//eR9jEGtOiwuLpafxSf0HcRsfH6nII3iK0gAAz3Y2QCsKQHJyckyjkTm951IQHAlQObWEmaGBXcLJq6K+e++++7KlSvqVniyhdjY2K+++krF6urVq9977z2ZQ8us2s+9cWUL8kSGkwMX95I2btwYExNjaBQ70ef3li1bVq1a9c9/Rx2NUN9uiNnIKzds5OTJk94SoFZCBHTYAwlgoCf+qY3okID09PSouzdgOCXAShQVFUmYuVwufeOCx969OXLkiCTo2znWrFmjMtXtdq9du7a8vDwgCVjcSxLnSEtLMzS2tbXp81v6/G4e1JxeOmzbts2wEZ+rC5EABnrin/i3rAQcPHhQxhHta1EkwMKj6pdffumdcD/99JM07tmzx+RGBgcHtfWA6hR/7fJB+/fvX7du3Xz/0Oc364t7STLFNywwFC5duqTfVExMjEjJj75QXwGsXr36ww8/9L8RBV8HMNAT/xiAZSVgenpaxhFt+TcSYOFRVU1zq6qq9I1q6fuZM2dMbkRmz9qcWG1QJu7aplauXDnfP1RnFhiifXEvSV6DPJHhGsPl5eX6/HY6nSIrfr6ekHfh3eGzzz7zlgC1ksDwIpEABnoOAFAbVpAAGZofPnwoQ0laWpq6Kty4L5AAC/D27VuZ/sbGxmrfwXs8HofDIYHqfQK9T9R6QO1E/4COBAgy85anW/pLqq+vl+f95ptvtBbJcnlqfX6LQ8hDnxf5UStgvDs8efJEfYlgkAB5Imn8+9//jgQw0BP/1IbVJKCoqOijhYjeRQNIgAE1yU5PT79x44ak2scffywP1RK/BVHrAevq6vQRvmbNGjW5V2sCKioq/Gzh8OHD8nSGS/Es4iXJK1m/fr0Etvzb/v5++VdbtmwRwzDktzqdYefOnbJll8slE3oJfnkiLc7lZ7X4oLW1taamRjQiOzvbWwKkw6pVq7hYEAM98Q8WlIB9+/ZtXojk5GQkwDKcPHlSIk0tkZMJt/mL/sqkeePGjYaD8JKs4gGSx7Kpbdu2qVPw5+PXX3+VJ21sbFz6S3r27FlSUpK21q+4uPjKlSuG/H7z5k1VVZV+heCKFSsyMjJ+++03TSbkTUn2y5MmJCRcunRJrS4UadAfY5Df+lnwiAQw0Fs1/jEAW0iAtUECfCJB3tPT8+OPPwZ0616ZQGvxadiaqIA6e3BBtm/f7r2mb9EvaXBwsKury3CZAQMyg79//750u3fv3oKz+YqKCpEA/dtU10fSX+oYCWCg5wAAtYEEIAGwGH755RdJ2e+++y4SXozh+gRPnjxZvXr1pk2btJa3b9/Gxsb6/44DCWCgJ/6pDSQACQCzdM0RCa+koKDA6XTW1taeOXOmuLh41apVK1eu1N9c4MWLFxcuXPBzigESwEBP/FMbSAASAFFJW1tbfn7+2rVrY2JiZMa/Z88ek19qIAEM9BaLfwwACXh3+vTpzMzMlJSUxMRE7UtWt9v98OHDmZkZJAAACWCg5wAAtWFBCXj8+LHhnEBNAsbHx+Wh0+lEAgCQAAZ64p/asJoEyCxfBX9paanM+10ul14C3s2dSx29A83iJAAgimBcRgKIfyRg8dTV1ck4cvr0afWwv7/fIAHqakJRetFAhkiw22wPqA3/8Y8BIAH/xtatW/VJ6S0Bd+/elZaRkREkANiZgdog/qkNS0lA8hx+JEB9QTA8PIwEADszUBtRagD8WZGAeY8ExMfH+5GAgoICQwsSAOzMQG0Q/9SGFSSgrKxMkvLhw4fzSUBULz5CAgAJAJvUBsf/kYDFIHmvPy1QLwEej6ewsFAeRuad1JEAQAKA2iD+kYClcuLECeUBTqdz9+7d8sO5c+fy8vJUo+EG8EgAsDMDtRHJBsBfEAkImJaWFp+nIOfk5ETmbdSRAEACwOa1QfwjAcFkdna2r68vPz/f6XRK9ldXV1tglEQCAAkA69UG8Y8EABIASADYrjb4+h8JCDKlpaXl5eXyxmZnZ5EAYGcGiMzaIP6RgJCgrgqsyMjIqKurc7vdSACwMwO1EckGwJ8JCQgOo6OjZ8+ezczMNCwJzMrKkvaXL18iAcDODNQG8Q/vrL0mwOPxjIyM1NTUqNsGajgcjpycHCQA2JmB2iD+qQ3LSoCe6enpoaGhvXv3Kg+Ii4tDAoCdGaiN5Yp/DAAJCB8vX748d+6c/gsCJADYmYHaIP7BshIwPj7e2dmZnZ3tcDj06wQbGxujep0gEgBIAERLbRD/1MYySEB1dXViYqIW/KmpqYcOHbLMGYNIACABEAUDPfFPbSyXBKhTBOPj410u19TUlMX+YEgAIAEQybVB/FMbyywBpaWl2mGAhISE3NxcsYGJiQkkANiZgdoIZ/xjANTGMkiA8Pr166GhoV27diUnJ2tCID8XFRVJu/wWCQB2ZqA2iH+w/tkBExMTvb29ubm5CQkJmhCkp6cjAcDODNQG8U9tWFwCNF69etXR0cEpgsDODNRGiAyAj5raiCwJmJqaGhoays/P37x5s/6igSkpKUgAsDMDtUH8UxtWk4CZmZmnT5+Wlpampqbqgz8pKSkvL+/Ro0eTk5PR+wdDAgAJgGWsDeKf2oh0CdDfRdDhcGRnZ3d1dY2Pj1vjD4YEABIAy1IbfP1PbUSNBGRlZbW2tkb7DQORAEACIBJqg/inNqJJAqwNEgBIAIStNoh/agMJQAKAnRnsWBvEP7UR3RLgdrvLysoyMzPT09Pl/3l5eV1dXUgAsDMDtUH8g8Ul4NNPP/3IF3FxcS6XCwkAdmagNoh/sKYEOJ1OFfk5OTmdnZ2PHz8eGBgoLS1NSkpS7f39/UgAsDMDteEn/jEAaiMqJeDmzZtqxv/q1Svv3544cULdRwAJAHZmoDaIf2rDahKQnZ0tSTk2NjZfh8zMTOkQpfcVRAIACYBg1QbxD2EYN34r/D/qvzBJQGpqamJiop8O6g4CIyMjSACwM4M9a4P4hzCMG1r8h1UC0tLSEhIS/HRobW2VKHW73UgAsDODDWuD+IeQjhuG7A+3BOTk5EhSPn36dL4O6enp0iFK7yCABAASAIuuDeIfQjpu+I//MEmAy+VSpwD4fG9HjhyRX4kHROkfDAkAJAAWURvEP4R03DAT/2GSAOGTTz5RHpCZmVlSUvLw4cPTp0/n5eXFxcWp9kV8FzAwMNDW1lYzx5UrV/wsKZCNt7a2VldXNzQ09PX1LbEbEgBIACwFvv6H0I0b5rM/rBIgHDp0yOfFgpKSkoaGhgLa1KNHjzIyMrw3VV9f7925o6MjPj5e3+3AgQPT09OL64YEABIAxD9E4LixiPgPqwQIExMT7e3tubm5WVlZOTk5f/7znxf3bm/evCmBfeTIke7u7sdztLS0qOsONTU16XvKhF5dhEB6zszMiG3s3r1bWmpqahbRDQkAJACIf4i0cWPR8R9uCQgWbrfb+6oDauVBYmKix+PRGgsLC6VRpEFrmZycTE1NNSxQMNkNCQAkAIIS/9QGLH3cWGL2h1UCZmdnw/AsCQkJEskvX75UD4eHh+VhSkqKoVt9fb20Nzc3B9QNCQAkAII1+6c2YCnjRrDiP+QS0NHRkZaWpr5idzgcxcXFobMBj8cjTyFPpH2Rry5XfPDgQUPPW7duSXtZWVlA3ZAAQAJgKQZAbcDSx43gxn9oJeDo0aM+VwK+fv06FE+nMjsvL09rOXXqlLTU1tYaeg4MDEi72ElA3ZAAQAJg6fFPbcAixo1QZH9oJWBsbEy7beDjx4+fPn3a3NysWgoKCoL+dOPj4+qQw507dwwW0tLSYug8NTUl7dpFDE12QwIACYClxz+1AQGNGyGN/xBKwLFjx9RZdvpGUQHlAcF9LklrdR2C48eP69vVZYja29t9prvD4Qiomx8JMPAcYA6Xy8WHYBN8Lv2jNmAp48Z88R+sJwqtBKg7B46Ojhra1Q0D/dxRMFCmp6eLi4tlm5WVlYZfVVdXe580+G5u5b86jyCgbhwJAI4EgJnZv5lz/6gNmI8wTP3DcSRAhb331/8FBQVBvFfQzMzM3r17ZYPl5eXev21paZFfScYb2nt7e6U9Nzc3oG5IACABsPT4pzYgcuI/5BLgfcW9IEqAGMDnn3/uZwG/WipYUlJiaO/s7NSfDmCyGxIASAAsPf6pDTCZ/WGI/yiWgNnZWWUA8v/5TjucmpqKi4uLj4+XH/TtkuvyD9va2gLqhgQAEgDBuvAftQHLOPUPnwR86oVaOufdvmvXLvMb93g8paWlygBmZmb89KysrJRujY2NWsvQ0JBEflJSkv7OxSa7IQHAQE/8B+W6v9QG8T9f/Ie/NkIoAeaRxLgSLWsAAB7nSURBVDW/8WvXrql/VVxcXOJFf3+/1nN0dFRd/beqqqq7u/v8+fPq4dWrV/UbNNkNCQAGeuI/KJf9pzbI/vmm/haRAInnrEBwOp3mN97e3u7HJ/SXClBzevUdhCIlJcVntJvshgQAAz3xT21AKOLfUhJgH5AAYKC3iQFQGxCs7PfzxT8SgAQAEgCWjX9qg6l/pNUGEoAEABIAYYp/aoOpPxKABAASAJEe/6EzAGqDqT8SgAQAEgB2jH9qg6k/EoAEABIANo1/aoOpPxKABAASADaNf2qDqT8SgAQAEgA2jX9qg6k/EoAEABIANo1/aoOpPxKABAASADaNf2qDqT8SgAQAEgA2jX9qg6m/7SSgoaFht1/++te/Pnr0aHh42P8tAZEAQAIg2uOf2mDqbzsJKCoqMn87waqqKiQAkACwavxTG0z9bScBx48f//TTT1XGp6WlFRQUfPLJJ/L/rVu3qkb5bWFhoXb34b179yIBgASAJeOf2mDqbzsJEHJzcyUsh4eHDe1jY2NJc6iHL1++VB4wMjKCBAASANaLf2qDqb/tJOD8+fOSlJL3Pn/7+vVr+W1lZaV6eO/ePXlYWlqKBAASANaLf2qDqb/tJCAjI0Ob6/tk69atWgePxyOxmp2djQQAEgDWi39qg6m/7SQgOTl58+bN/i0hLi5Oe5iQkJCZmYkEABIA1ot/aoPst+ORAEnKiYkJn79VU3/9oQIRAo4EABIAlox/amN545/aWAYJaGpqkqQUFZienjb8anZ2tqCgQH5bXl6uWsbGxvQPkQBAAsBK8U9tMPW3nQQIqampatl/Xl7e5cuX+/v7r127lp+fr10eQOt57NgxeRhFewgSAAz0xD+1QfYjAQuwa9cun1cHysnJ8Xg8WrexOaLoD4YEAAM98U9tEP9IwMJIup89ezY3NzcrK0v+f+rUqdHR0WgvQSQAGOjDYwDUBlg4+20hAZYECQAGeg4AUBtkPxKABAAw0BP/1AbxjwT4YnJy8tatW4WFhTt8kZ+fjwQAOzPxb/n4pzbIfjtKwIkTJ/zfPFB/sSAkANiZiX9qg+y3VfZbWQJcLpdK+szMzKampv55QAKAnZn4pzaIf9vGv2UlwOl0SlJevXrVkn8wJAAY6Il/aoPsRwLmJSUlJXqP9iMBwEBP/FMbZD8SsHjS0tIcDgcSAOzMxD/xT234z347x79lJaCyslKScnJyEgkAdmbi3+bxb/PaIPvtKAGzs7PRdU8gJAAY6Il/aoPsRwKCw/j4+NDQkDo7YHBwcGxsbNwXSACwMxP/1AbZT21YTQKKioo+WgiuEwDszMQ/tWH57Cf+7SgB+/bt27wQycnJSACwMxP/1AZTf2rDahJgbZAAsLkE+Mx+4t9WtUH2IwFIAIDtJID4t3ltkP1IACABYEcJIP7tXBtkPxIASADYVALIftvWBsv9kIAAGJ1D//OCIAHAzkz8UxtkP7UR9RLQ19enTvybmJh4xymCwM5M/EMU1gbZjwQsXgLS5lASUFpamrYQ6enpSACwMxP/1AbZT21EvQTYCiQALCkBxL/daoPsRwIACQAkgPi3V22Q/dRGyCWgb46ldEACgJ2Z+Kc2wpP9xD8SEGTUwkA/HbKyslgYCOzMxD+1QfYDEoAEADsz8U9tkP3Uhm0kID09PSEhAQkAdmbin9og+6kNi0iAdhUgJQE+LxDkdrvPnz8vv926dSsSAOzMxD+1QfZTG1aQgPHx8Y8CoaOjAwkAdmbin9og+6kNi0hAyr9QMZ/ii7S0tJycnIcPH0bvHwwJgKiQAOLfqrVB9lMbkSgBehZcExDVIAEQ4RJA/FuyNsh+aiNqJGBoDiQA2JmJf1hibZD91Eb0SYC1QQIgAiWA+LdYbZD91EZ0S8DYHPqWgYEBp9OZmpqalZUV1ccJkACIKAkg/q1UG2Q/tWEFCbh27Zok5fXr1/VOYDg7QJwACQB2ZuKf2iD7qQ2rSUBOTo4k5evXrw0te/fuHRkZUdcJSEtLQwKAnZn4t3NtkP1gTQmQgE9KStIeejweNfufnZ3VO8HU1BQSAOzMS8x+4j/qaoPsB4tLQHJycmpqqvbQ7XZLcDqdTq1FfV8wMjKCBAA7M/Fvk9og+8EuEiAGsHnzZu3hqVOnJDgvX76stfT390tLlN58HQmAcO7MZH+0Q/aD7SQgOztbknJiYkJzAnUrAa1DU1OToQUJAHZm4t8mwU/2g8Ul4ObNm+qywUNDQ3V1dfKzfomAZgn6lYNIALAzE/9kPzBuWEEChIKCAv0JgT09Pdqv1DpBgxYgAcDOTPxbOPuj9NtPQAIWT1dXV35+fmlpqdvt1rd3dnZmZWWVl5cjAcDOTPxbNfuXfaAHJGCZJcCqIAEQ3J2Z+Ldw9iMBgAQgAcDOTPzbNPuRALCLBIzOof95QRbxLB6P59GjR7fm8NPN7Xa3trZWV1c3NDT09fUtsRsSAEHfmYl/CwR/QAv9kACwsgRIgqoFgOq0wKKioo8WIi4uLqCnuHz5cmFhYXx8vLaF+Xp2dHTouwkHDhyYnp5eXDckAIK7MxP/tsp+JADsIgFpcygJKC0tTVuI9PT0gJ7i0KFDkr6ZmZkHDx70IwFKR5KTk7u7u2dmZoaGhnbv3i0tNTU1i+iGBEAQd2bi34bZjwSALSQgDDx+/FjSWovh+ZK4sLBQfnXz5k2tZXJyUl2tSP9Bm+yGBMDSd2au+BvV2R+9Az0gAZaSAEMM+0zi4eFhdZEiQ3t9fb20Nzc3B9QNCYAl7szEP9mPBAASED4JUFcqPHjwoKH91q1b0l5WVhZQNyQAFr0zE//RGPwhvaIfEgD2koCxOfQtAwMDTqczNTU1KytraGgoFBKg7lRUW1traJenlva0tLSAuiEBsIidmewn+5EAsLsEqDsFX79+Xe8EhrMDJHGDLgFHjx6V9paWFkP71NSUtCckJATUDQmAwPYr4p/sRwIACRBycnIM9wdSLXv37h0ZGTl//ryZCfciJODIkSPS3t7e7jPdHQ5HQN38P7ue52BvfMY/H8ty4T/4l+tVuVwu/jSwvLURPgmQgNffH0jdMUiYnZ3VO4GEbnAloLq6WtqbmpoM7ZOTk9KemJgYUDeOBACzfyb9HAkAjgQETHJycmpqqvbQ7XZLcDqdTsP3BSMjI8GVgJaWFmmXjDe09/b2Sntubm5A3ZAACDT+GejJfiQAkIB3YgCbN2/WHqqFeJcvX9Za+vv7zZyRH6gEqOX9JSUlhvbOzk796QAmuyEBEOjsn4E+ErKfgR6QgGWWgOzsbO0SwsoJ5KH+ZgFNTU2GlqBIwNTUVFxcXHx8vOGLBnWRwba2toC6IQGwYPYbDv4z0DPpRwIACfifE/FTUlKGhobq6urkZ/0SAc0S9CsHgyIBQmVlpfyqsbFRa5HXIJEvL2BycjLQbkgAvAvkpH8GerIfCQAk4L8pKCjQr5/v6enRfqXWCRq0YEH6+vpK/oXapvawt7dX6zY6OqoOPFRVVXV3d58/f149vHr1qn5rJrshAcR/QEv/GOgJfmoDkID/oaurKz8/v7S01O1269s7OzuzsrLKy8sXcXTBJ/oLEqg5vV5BUlJSfEa7yW5IAPFvftk/Az3ZT20AEmBxkADin4Ge7EcCAAlAAoD4Z6An+KkNQALm4fTp05mZmSkpKYmJidqtBNxu98OHD7X7AiMBYIH4Z6An+6kNQAL+l8ePHxu+udckYHx83HDtICQAoj3+GegXHfzWzn5qA+woATLLV8GvVgW6XC69BAjp6enRG6VIAPHPQM+kn9oAJGBe1LUBTp8+rR6q6wPqJaCoqEhaxsfHkQCIhOwP1gX/bT7QM+mnNgAJ+G+2bt2qT0pvCbh79+5S7h2ABECkxb+dB3qCn9oAJODfSJ7DjwSoLwiGh4eRAFiu+GegJ/uRAEACQnUkID4+3o8EqKv06FuQAIjq+LfJQE/wUxuABCxMWVmZJOXDhw/nkwA/F/9HAiAa49/CAz3f9FMbgAQEhuS9/rRAvQR4PJ7CwkJ10X4kACwT/9Yb6Al+agOQgMVz4sQJ5QFOp3P37t3yw7lz5/Ly8lSjw+GI3j8YEkD8W3WgZ9JPbQASEDRaWlp83u8nJyfH4/EgARDS7A9z/Ef1QE/wUxuABISE2dnZvr6+/Px8p9Mp2V9dXW2BPQEJIP4tMNAz6ac2AAkAJID4t9dAT/BTG0BtRIQETE9PIwEQrPhnoGfSz0AP1EZ0SMDMzExtbW1cXBwSAJaJ/0gb6Al+BnqgNpZNAmbn8Nl+7NgxtTwQCQArxX+EDPQEPwM9UBvLKQGnT5/evHmzivnk5OTW1lbtVw0NDdoJAikpKS6XCwkAy8T/Mg70TPoZ6IHaiAgJKCkp8T4hULJffiWpr5lBT09PVP/BkIDlyv5Ijv8w78wEPwM9UBuRJQFut1vF/N69e4fmOHTokGrZsWOHukDQ7du3LfAHQwKI/+Xamcl+BnqgNiJUAlTkHz16VN947tw55QGFhYWW+YMhAeGMf3Zmgp+BHqiNKJCA7Oxs7xsDTk9PKwmYmJhAAsDC8R/cnZngZ6AHaiPKJCAzM1PS8fXr14Z2h8ORmJhopT8YEkD8h2hnJvsZ6IHaiG4J8L4EkEjA5s2bkQCwdvwvemcm+BnogdpAApAAW2e/BeI/oJ2Z4GegBwhbbfzn9xu0/0IuAZ96odYEeLfv2rULCSD+LRP/C+7MZoKf7GegB2oj6MEfVgkwD1cMJP7tsDMT/IAEQBhqY77UD58EFBcXZwWC0+lEAuwZ/5bfmQl+QAIg1LVhMvX12f+/IzMfOhJA/AcXgh+QAAhpbSwl9ZEAJID4X57gJ/sBCYDF1UZAqb9g8CMBSMAyZL8l45/gByQAQlEboUt9JAAJIP7DEfwM9IAEgHnClvpIABJA/Idjxs9AD0gARGDqIwFIQDji357Bz0APSAAEJfJDl/pIABJA/C8p+E1+zc9AD9QGqR9o6lvkssFIAPFvz+BnoAdqg8hfylwfCUACoi/7ozT+Q72wn4EeqA1SP9DD+0gAEkD8R3HwM9ADtUHkL+VLfSQACSD+ozj4GeiB2iDyo6s2kAAkILD4J/gZ6IHaIPJDtHofCUACiP8QBn84r9/HQA/UBpGPBCABUZ/9kRz/kXzFfgZ6oDaIfCQACSD+bRT8DPRAbURd3i9j5CMBSADxb6ngZ6AHaoPIRwKQgCiOf4KfgR6oDcvkfYRHPhKABBD/lgp+BnqgNsh7JAAJIP5tGvwM9EBthCfvrRH5SAASsJzZv4zxb9XgZ6AHaoO8RwKQAOLfpsGPBICda2PpYW+rvEcCkABbxL+tgh8JAJvUBnmPBEDkSsDyZr/dZvxIAFi4NoIS9uQ9EoAEWD/+CX4kAKK3NoIV9uQ9EoAEREr2hzr+mfEjARBdtRHEpCfskQCICAkIc/wT/EgARHhtBDfpCXskACJUAsIW/wQ/EgCRVhtBT3rCHgmAqJGAMGQ/wY8EwPLWRihinqRn3EAColsCQhr/BD8SAGGujRAlPWHPuIEEWEoCQnfkn+BHAiB0hC7jiXnGDSTAFhIQivgn+JEAiPyMJ+kZN5AAW0tAcOOf4EcCIAIznpgHJAAJCFX8E/xIACxvwM8X89QGIAFIgNn4J/jZmSEy033RU3lqA5AAJCBo8U/wszMT7dF1rJ7aACQACZg3+83EP8HPzky0R+/38dQGIAF2l4BFxD/Bz85MqFtjtR0SAEiAfSUgoOwn+NmZSXTrLaRHAgAJsKMEmIx/gp+d2dpZzjlySAAgARGH2+1ubW2trq5uaGjo6+sLrgQsGP8EPztz9KY4oY4EABIQ3XR0dMTHx3+k48CBA9PT00uUAP9f/BP8lt+Zoy6/SXQkAJAA2yHzfsny5OTk7u7umZmZoaGh3bt3S0tNTc2iJWC++Cf4IxwLxDZxHvks4y3IgdpAAowUFhbK537z5k2tZXJyMjU1VRoXlDLvPxjBT0KT4oAEABIQHQwPD8uHnpKSYmivr6+X9ubmZvN/MHsGv82DmfwGJACQgCjm5s2b8qEfPHjQ0H7r1i1pLysrM/MHM5/6QQ9+8jViY5uBHqgNQAIinVOnTsmHXltba2gfGBiQ9rS0NH+f3f/9f4QlM2wGeqA2AAmIVo4ePSofektLi6F9ampK2hMSEpiIm//vIwAAiBKQgP/myJEj8lm0t7f7lACHwxF1EoBKAwAARwJMUV1dLWHf1NRkaJ+cnJT2xMRE8xJAMQEAABIQTbS0tEjYiwoY2nt7e6U9NzeXEgEAACTAmqizAEpKSgztnZ2dPs8aAAAAQAIswtTUVFxcXHx8vPygb5f4Fwloa2ujRAAAAAmwLJWVlZL3jY2NWsvQ0JCYQVJS0uTkJJ8PAAAgAZZldHRUXSS4qqqqu7v7/Pnz6uHVq1f5cAAAAAmwODL1Lygo0M6eTElJwQAAAAAJAAAAACQAAAAAkAAAAABAAgAAAAAJsA1ut7u1tbW6urqhoaGvr48PxIY8evToli9evnxJwdgNj8ej1cPSxw2qxVa1sewjCRIQMB0dHfHx8fp7MR04cGB6eppPxlaUlZX5vDHXzZs3KRj7cPny5cLCQv3fd4njBtVit9pY9pEECQgMkS/56JOTk7u7u2dmZoaGhnbv3i0tNTU1fDg2lIArV65c/3dE1SkY+3Do0CH5a2ZmZqprjM430JssA6rFhrWx7CMJEhAYYnYGR5ucnFQXF3r+/Dmfj90k4NWrVxSMnXn8+LGMyOpnPwO9yTKgWmxYG8s+kiABATA8PKwuJWRor6+vl/bm5mY+IiSAgrEt8w30JsuAarFhbUTCSIIEBIBYmM9bC6pbEcrfko/IhhIgsv/69WsKBuYb6E2WAdVicwlYrpEECQiAU6dOySdeW1traB8YGJD2tLQ0PiK7SYC4udq9ExISKisrDcflKBgGevNlQLXYWQKWcSRBAgLg6NGj8om3tLQY2qemptQfj4/IVhIg+578/8iRI/L/5ORkqYHExMR79+5RMAz0ixg3qBbbSsDyjiRIQADIH0k+8fb2dp9/CYfDwUdkHwyqPj09XVVVJWWQnp4+OztLwTDQBzpuUC32lIBlH0mQgACorq6WT7ypqcnQPjk5qdyNj8jOeDye7OxsqQTtqiAUDAO9+TKgWuwpAcs+kiABAdDS0iKfuPw9DO29vb3Snpuby0dkc5TCa/sqBcNAb74MqBYkYFlGEiQgANRSzJKSEkN7Z2enz6WbYDfUV3cnTpygYBjoAx03qBYkYFlGEiQgAKampuLi4uLj4+UHfbu6IFRbWxsfkc0xXNCDgmGgN18GVAsSsCwjCRIQGJWVlfKhNzY2ai1DQ0Py50lKSpqcnOTzsQkvX7407I3C2bNn1fdzExMTFAwD/SLGDarFbrURCSMJEhAYo6Oj6kqNVVVV3d3d58+fVw+vXr3Kh2MfxNDFysvKyhoaGtrb2+X/BQUFaj+/fv06BWMf+vr6Sv6FKgDtYW9vb6BlQLXYrTYiYSRBAgJG/Ev7O6mLPLCL2o0HDx5kZWUZ7vqVn5/vcrkoGLvp4EfzYBjETZYB1WKr2oiEkQQJWCTPnz+/c+eOuJ7H4+HTsCfT09N3796VMpA9Vn/gjoKBJZYB1cJIErbaQAIAAABsChIAAACABAAAAAASAAAAAEgAAAAAIAEAAACABAAAAAASAAAAAEgAAAAAIAEAAACABABASJiZmYm619zX19fe3v7gwQPz/+TWrVsdHR36lmvXrslGxsbGlutdBOsFyEZ6enqoZEACAMAUL1++rKur27p1q/4+IuXl5a2trcsYiuaprq6W1/zXv/7VZH/RBel/7NgxfWNSUpI0ik+E7WUPDAyUlJS0tLQE9wWoT2NwcJDCBiQAABbg3r17mzdvVtmfnZ0tsVRUVORwOFSLzJitJwGFhYXx8fGiPssrAQ0NDfKMnZ2dwX0Bbrc7Li5u165d1DYgAQDgj5mZmfT0dMmeffv2jY6Oau0ej0fkQMI1Kg4sByQBvb290rmystLQHn4JyMnJERd5/fp10F9AeXl5mN8LABIAEH10d3dLWiQkJExNTUXvuwhIAj7//HPpLCqwvBLw/PlzeTp5MaF4AS6XSzZVUlJChQMSAADz0t7erg4DmOlcV1cncTs8R21tbV5eXkZGxsGDB+/duzffPxkYGKipqSkqKkpJSdm7d29jY+N8iwxM9pyenj537tzu3btVN/l5ZmbGvATINqVncnKy9698ZrA83YkTJ2T7V69eNXwIo6Oj8vOOHTu2bt166NAh7Tv4V69enTp16tNPP5VXWFZWJnns85W0tLTI07W1tXm/AHmRx48fly2npaXJnL6rq2u+P4S8hmPHjhUWFspz3b17V+vg8XgSExPj4uLkxVDkgAQAgG+uX78uwSOBIWm3YGeVUmfPnlUBI8EjP6ilA83Nzd79JcnUbx0Oh+RufHy8CuBHjx4trufExER+fr62dFEtZZC4PXLkiEkJUNIjmW1GAsbHx0VKpPHAgQPa56O6Xb58WV6e+ujko1BHU+TVjoyMqK9XtHbh5s2b3k+3a9cu+ZV+XYLa8pUrV1JTUw1bMHy8qmdra6t6DfJxSU/5U+r7qG8Evv/+e4ockAAA8I3MJlXMSCYteCBaZY/ktExwtSnmtWvXVFYZprziCtIoc9k7d+6oFpmyyxRZGiXkJicnF9Hzz3/+szTm5eU9f/5ctTx48ED6qGWMZiRAbUFbkO9HAiTOMzMzpaW2tta7m0T+0aNH1YcwNTV18OBBaSwoKBBHKSkpUasrZmdnZcqu3ppMzfUbkX8o7dLZ55blRaqjIPKvzp07J43yCbvdbu8/hNiJ/AVVT8OBE/Wpei99AEACAOB/OX36tHZmoORKcXHxsWPHbt++bcgtLXuys7Ml3ry3UFhYqJ9Dy6YkuoaGhgwbqaqqks7nz58PtKd0ULNeiWd9t7t376oXb0YCduzYMd8pD3oJUG6hf3ZDN8Pae/EAZULeH446MKA/Vi90dHRIo3xu3lv+9NNPDc8ofxGfXxyIDPl5p/IevT0DAAkAACM9PT3quLcemb8ajjCr7PHORTWvFSTRVcvly5fnW5gmz6X/lfmeampbVlbm3VOi16QEyDzb56pAvQSIAEk3sQ2fh/FVt+7ubkO7OJC0y8Td0K4OEhgOy5eWlkqjwXvm23Jzc7O0V1dXG3pqyxR8otYGJiYmUt6ABADAwoyNjUkCnTp1avfu3ZoK6JNGZY/PlW7qQkParyorK+Xh3r17r3uhUl9bmme+56FDh3wqyLt/HeQ3IwHqTfn84kO9O/V65EnnW+2ounn/VmTF5zEGtV5Bf3XC2dlZMYysrCyTW7527Zq0y3YMPQ1HFwzIdtT3CBQ2IAEAEBjDw8N5eXmSIpI32vFtP+ewSYrrI1Dm6x/5RTa1uJ6GgxMK82cHqIP2PgNevTuF4WKCPg8YBCQB7e3tWos6UO/9FPNtWS3e9JYA/2s41LckDoeDYgYkAAAC5tGjRyoRtRmnyh6fx9ILCgrkV7dv31YP1dL0+vr6u/OgxXCgPWVa7P3savWAGQnwczBD+7JDLbk3fGEfRAlQr9Z7Hh9cCVBfpmzevJlKBiQAAAJmZmZGSYC2aH++L609Ho9an//48WPVolbF63NrPsz3lIw3fDWuoa7/Y0YC9u3bN985e1qyyrtQqwKPHz8eCglISUmRjcy37jJYEqD+FdcLAiQAABbD4OCgkoD+/n599siM3NBTrUHTX4FHHYuWaaj+BD+fmO+pjqJnZmYa4nN8fFxdV8CMBKgLEvg82q9P1ufPn6tV/YbzA5cuAeqrep9n7gVXAuSVS58TJ05QyYAEAIBvOjs7JTu9T8979erVJ598okLXkD2Gw+kTExNqcX5jY6N+C2q1vMzRvS9IPDw8rH9Gkz0l+zMyMryfSC0YNCkByjnkrS2YwW63W612NBylWKIEKAtZ8BzFpUuA+oLG/+JBACQAwNaogFEnuMv0VHJUZpAHDx5Up9I5HA79CgCVPZKgcXFxR48evXbtWnNzs7qiTk5OjiHCX758qUI0LS2tpqbm2hx1dXUq8vXr+8z3VIcc1NkEEqutra0SdfIila+YkQAxidTUVHn92tmMfpJ1bGxMvTv9FQaXKAFOpzM+Pn5mZiakEqCujiyfJxUOSAAAzIvMd+vr6yXCDWvyJSYl1bTv+A3Zc+LECXUEXiGTeO9MVYcTJJj1PdXVfsrKyrRL/gXa886dO8oYFBkZGaIpAd1AqLGxUV1z10wGy/tSH05paak6S2IpEvD06VM/39MHUQLk3UmHpqYmKhyQAABYGJmb3r179/bt2z09PZIuhsveeWfP5OSkzMuls/4GxPNNvtUVeKSzWIX3grhAe0r7gwcPpJv3PQjMILNk0Qv/l9sLEep6R/4v8hMUsrOzExISfJoZABIAAIshzDfbDR0nTpzQn/UQNtRlGee7j2KwULeHPnXqFBULSAAAIAFGpqamUlNTd+zYEf7n9V78GHRyc3PT09PD8EQASAAAEgAAgAQAWJ3y8vKSkhLv8wkBAJAAAAAAQAIAAADsyv8HD5oDtBhaU2oAAAAASUVORK5CYII=" width = "403" height = "488" alt = "Vehicle1D_refsub_Basic_ResistingForcePower.png" style = "vertical-align: baseline; width: 403px; height: 488px;"></img></div><h3  class = 'S4'><span>High Voltage Battery Pack</span></h3><div  class = 'S1'><span>Four different abstract models are available as a high voltage battery pack component.</span></div><ul  class = 'S5'><li  class = 'S6'><span style=' font-weight: bold;'>Basic</span><span> model simulates voltage and current.</span></li><li  class = 'S6'><span style=' font-weight: bold;'>Simple system</span><span> model simulates voltage, current, and temperature using equation-based model.</span></li><li  class = 'S6'><span style=' font-weight: bold;'>System</span><span> model simulates voltage, current, temperature as well as charing dynamics, fading, and aging using equation-based model.</span></li><li  class = 'S6'><span style=' font-weight: bold;'>Table-based system</span><span> model simulates the same quantities as System model, but uses table data for terminal voltage and resistance.</span></li></ul><div  class = 'S1'><span>Open the </span><a href = "matlab:openFile('BatteryHV_harness_model')"><span>Battery HV harness model</span></a><span>. You can also use the shortcut button </span><span style=' font-weight: bold;'>High Voltage Battery</span><span> in the </span><span style=' font-weight: bold;'>Project Shortcuts</span><span> toolstrip to open harness model.</span></div><div  class = 'S1'><span>See </span><span style=' font-weight: bold;'>README.md</span><span> in the </span><span style=' font-weight: bold;'>Components &gt; BatteryHighVoltage</span><span> folder for more informaton.</span></div><div  class = 'S1'><span></span></div><h3  class = 'S4'><span>Motor Drive Unit</span></h3><div  class = 'S1'><span>Four different abstract models are available as a motor drive unit component.</span></div><ul  class = 'S5'><li  class = 'S6'><span style=' font-weight: bold;'>Basic</span><span> model simulates the high level behavior of power conversion between electrical and mechanical powers using abstract copper loss model.</span></li><li  class = 'S6'><span style=' font-weight: bold;'>Basic thermal</span><span> model is similar to Basic model, but this model considers temperature dynamics too.</span></li><li  class = 'S6'><span style=' font-weight: bold;'>System-level</span><span> model is similar to the above models, but this model considers irons loss and constant/fixed loss too.</span></li><li  class = 'S6'><span style=' font-weight: bold;'>System-level model with tabulated losses </span><span>is similar to the above models, but this model uses tabulated data for power conversion efficiency or losses.</span></li></ul><div  class = 'S1'><span>Click the shortcut button </span><span style=' font-weight: bold;'>Motor Drive Unit</span><span> in the </span><span style=' font-weight: bold;'>Project Shortcuts</span><span> toolstrip to open harness model.</span></div><div  class = 'S1'><span>See </span><span style=' font-weight: bold;'>README.md</span><span> in the </span><span style=' font-weight: bold;'>Components &gt; MotorDriveUnit</span><span> folder for more informaton including </span><span style=' font-weight: bold;'>single efficiency measurement model</span><span> used in Basic, Basic thermal, and System-level models for electro-mechanical power conversion.</span></div><h3  class = 'S4'><span>Other components</span></h3><div  class = 'S1'><span>In addition to the above components, other components such as </span><span style=' font-weight: bold;'>Vehicle Speed Reference</span><span> component are stored in the </span><span style=' font-weight: bold;'>Components</span><span> folder too.</span></div><h2  class = 'S2'><span>Detailed Model Application</span></h2><div  class = 'S1'><span>This project includes detailed model applications for permanent magnet synchronous motor (PMSM). See the </span><span style=' font-weight: bold;'>DetailedModelApplications &gt; MotorDrivePmsmFem</span><span> folder for more information.</span></div><h2  class = 'S2'><span>About this project</span></h2><div  class = 'S1'><span>For additional information about this project, see </span><span style=' font-weight: bold;'>About BEV Project</span><span> live script in the </span><span style=' font-weight: bold;'>Utility</span><span> folder.</span></div><div  class = 'S1'><span style=' font-style: italic;'>Copyright 2020-2024 The MathWorks, Inc.</span></div>
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%% Battery Electric Vehicle Model in Simscape
% Open the Project by double-clicking |*BatteryElectricVehicle.prj*| file if 
% you have not opened the project yet. Use <matlab:openApp("BEVProjectNavigator") 
% Project Navigator> app to open models and scripts. *Project Shortcuts* Toolstrip 
% has links to the BEV model, the main page of thie project, and the project navigator 
% app.
%% Battery Electric Vehicle (BEV) Model for System Level Simulation
% This is a simple, fast running BEV model which can estimate the electrical 
% efficiency of the vehicle. It is also suitable for further customizations for 
% more focused analysis of individual components at vehicle system level.
% 
% Open the <matlab:openFile('BEV_system_model') BEV system model>. You can also 
% use the shortcut button *BEV system model* in the *Project Shortcuts* toolstrip.
% 
% Files related to the BEV system model can be found at *BEV* folder.
% 
% 
%% Vehicle Components
% Longitudinal Vehicle
% Longitudinal abstract vehicle model can be used to find required powertrain 
% performance (such as motor torque and power etc.) given basic vehicle performance 
% specifications.
% 
% Open the <matlab:openFile('Vehicle1D_harness_model') Vehicle 1D harness model>. 
% You can also use the shorcut button *Vehicle1D* in the *Project Shortcuts* toolstrip 
% to open harness model. You can simulate and analyse basic vehicle performance 
% with the Vehicle1D harness model.
% 
% See *README.md* in the *Components > Vehicle1D* folder for more informaton.
% 
% 
% High Voltage Battery Pack
% Four different abstract models are available as a high voltage battery pack 
% component.
%% 
% * *Basic* model simulates voltage and current.
% * *Simple system* model simulates voltage, current, and temperature using 
% equation-based model.
% * *System* model simulates voltage, current, temperature as well as charing 
% dynamics, fading, and aging using equation-based model.
% * *Table-based system* model simulates the same quantities as System model, 
% but uses table data for terminal voltage and resistance.
%% 
% Open the <matlab:openFile('BatteryHV_harness_model') Battery HV harness model>. 
% You can also use the shortcut button *High Voltage Battery* in the *Project 
% Shortcuts* toolstrip to open harness model.
% 
% See *README.md* in the *Components > BatteryHighVoltage* folder for more informaton.
% 
% 
% Motor Drive Unit
% Four different abstract models are available as a motor drive unit component.
%% 
% * *Basic* model simulates the high level behavior of power conversion between 
% electrical and mechanical powers using abstract copper loss model.
% * *Basic thermal* model is similar to Basic model, but this model considers 
% temperature dynamics too.
% * *System-level* model is similar to the above models, but this model considers 
% irons loss and constant/fixed loss too.
% * *System-level model with tabulated losses* is similar to the above models, 
% but this model uses tabulated data for power conversion efficiency or losses.
%% 
% Click the shortcut button *Motor Drive Unit* in the *Project Shortcuts* toolstrip 
% to open harness model.
% 
% See *README.md* in the *Components > MotorDriveUnit* folder for more informaton 
% including *single efficiency measurement model* used in Basic, Basic thermal, 
% and System-level models for electro-mechanical power conversion.
% Other components
% In addition to the above components, other components such as *Vehicle Speed 
% Reference* component are stored in the *Components* folder too.
%% Detailed Model Application
% This project includes detailed model applications for permanent magnet synchronous 
% motor (PMSM). See the *DetailedModelApplications > MotorDrivePmsmFem* folder 
% for more information.
%% About this project
% For additional information about this project, see *About BEV Project* live 
% script in the *Utility* folder.
% 
% _Copyright 2020-2024 The MathWorks, Inc._
##### SOURCE END #####
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