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S7SLEgF9jH9ZWVmk4jn7gEpZlAjoA9WpU6daixYtsuiYZfIggoD/uOJZ1X9XQj1jeYv7X9YKy2Orc5f5+Xq81J98L2uo5PLly7PgFV1SUgISoi+UPCLwP+j35x98TI2GAAAAAElFTkSuQmCC</thumbnail><scenes 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O19dE9NE4jusxfb1Qrr4nhwK3IoAGPIAbIoqi56jqa0TkgH7TA4gTJYNALgLGmOuZ+ePW2q/2m841ERgXTgANuPAlWFwBxphLiehyETmjD/XLiegUIvqvxc0OXiDQPwSY+UGqelbjWnN7+5kicoQxpq90/xBDJVkJoAFnJdVndsaYxxLRpe6xpGq1umeLvqxSqYw0xtN0mm87481c7gatLwZB8MJarYZDPPps76CcXAS2Z+Zziei4SqVyZbVaXU9Eh1cqld+6x4uI6IgOaz9+5lwi8uNcs4JxXxBAA+6LZVhcEcaYTzNz1Vr72n7WbnbuDu7FzRJeINB7As07iaMo+piqVhqPF/Wt7j0hZOwEATTgTlAsKMbq1avvUyqV3DnRh6rqbXl1EATunOhDnK+v88bJaP97ItpIRDjMo6D9grSZCCwjIvco0YOZeXf3eFGtVhvtpGbmq5IkGXExfb3YXGvWrPmfTDODUd8RQAPuuyXJV1AYhq9h5oNFxAyKzjdDWINA7wgYY0RVr47j+OODontHB5k6TQANuNNEC4hnjHHnNL9XRC4eFB2G4Wr3ggkico9L4Q8ECiHAzA9LkuSLcRyvMcYcRURvE5FHDYouBBqSdowAGnDHUBYXKIqiUFVPF5F9G/o9IvKIHNr3zav9XFlqqNuEYfguZj6Zmd3RlvjrAAFVxfWcn+PLmflsa+07jTE/Z+ZTrbWxMeYXzPz2ObRv0ymdlssfnzNX/unCo58I4ILtp9VooxZjzDeY+Xpr7YcHUbcxdbiCwKIIRFH0BlU9QESeNYh6UZOGU18RQAPuq+VYfDFhGD6CmX/kHj/asmXLfVv1li1bRiqVSn08RV+3ZcuW0YbNde7xpkYcX6fG9/MuJtfk5ORfjTF3E9FmIkoWTwKeIJBKICCi5SKy08TExP3dY0Sq+vhqtXr7smXLfO1uTnxcY3wbvWzZstvd40jOZgFdj9mw6WiuOI5/gXUefAJowIO/hrMzCMPwQ0S0UxzHpzgdBMFO1tq6ThtPs/Hts+gscTLYnMHMO1YqlTcM0bJgKn1CoFqtfpiZ/2mtfXkYhmcS0d1xHL/R11EUnZkkyTbjeW3S4qfFScubNt4nSFFGmwTQgNsE2E/uhx122A477LCDeyzpqCRJ1pbLZffWoqM2bdp004oVK9yhAfPqpq+zz6O7kSuO42tXr179sCAIDguC4I/9xBm1DAyBf5+ZmblizZo1vwnD8MAgCC7euHHj6IoVK9xbw+bURHTxpk2b6jZp2vnOzMyMBEGwKkvMdnO11nzFFVe4x/nwNwQE0ICHYBH9KURR9BJVjUTk6Q09LiKH5dC+b17d0VzGmIuI6KlE9MMhWyZMpzcEnkBE3xGRY4wx32Jma609ax59BTNPNWyy6Cwx02yyxPdtZuP0Bh2y9IIAGnAvKPc4hzHmGiI6U0S+NEy6xxiRboAJGGOe784jF5GDhkkP8JKg9DkIoAEP4bYwxhxGRJ8VkdFF6s+IyB4NX1+3EzPNN3Mut1TGmJ8QkXv9If5AYCsCzHwva607I93tE/eTy0tF5IoWfSsRvawx7us0+3bGO54LSz5cBNCAh2s9Z2djjLmQmW+11r7baSJaJyLvah33bQZEf5eI/qSq7utp/IFAnQAzH0NEDxSRp0RR9A5V3UNEjh0mjaUePgJowMO3pvUZjY2NjQZBcEutVhsplUru8YtbnWbmUnO8G7qXudasWePOl3afdv5zSJcR05qHgIjUX3e5evXqB5dKJXfD4UNVtdYtTUR71Gq1pFvx56t/enrafRLH35ARQAMesgX1p9M4bepBInL8sOooir6uqs8kIhxIP8R7eY6p3YeZv2mtnTDGnK+qf4jj2J1mNZR6aS3t0pktGvBwrzUbY9w7RV8sIt9r6lWrVl25du1a9y/qF2fRvm9enSW+byMiVzZ+s9uq5ox53dfT+BtyAsaYpxDR50RkxBjz5Bza3RPh3lX9uVWrVo2uXbs2s24nV+NejEXnIiId8iVdstNDAx7ypY+i6DhVPVFEntTQLxKRJ+bQvm8WnTe+b58l/rxzccsZhuEnmRnPSg7R3lbVHeI4flXjJ4cfMPPnrbUXGGN8/X1mPrcxnkWnxckyniW+b5Ml5pw2Q7SMmEoLATTgJbAljDHfYeavWWs/5zQRfV1Ezmkd920GXK9j5p+rqrtjGn8DToCZ91fVfd0nySiKXqyqR4vIU5eCHvClQ/kLEEADXgJbJAzDJzLzV3fZZZeRDRs2PEZVv+b0HXfcsX9zfD4dBMFXVq5cOZrVfr5cd95558jKlStT83Yilz/H888//54lsMRDO8Xjjz9+uzvvvHM9Mx+9cuXKn7ZqVX3Orrvu+hM3PpfesGGDOxnuuc7G12n27Yx3Olccxz8Y2oXFxOoE0ICXyEYIw/Ac9/xsHMdvcToIgv+11r65of9hrW2Oz6l937zaz9VSQ0dyBUHgx/HnVdfGmM+q6gnM/K8lstwDPU1V3Z6ZzxORl0ZR9IEkSe4Vx/FJLfr9SZLc242HYfh+Isqsoyia9fW1HyeLTZa8aTWnxffHB3oRUXwmAmjAmTANvtHY2Ni/NR6feLSq3tnUtVptQ6lUcjdkPXo+XalU3CeJrXz9OFl03lzOvp28zOxuQGvOa30QBIeWy+XfDv5qDu8MZmZm9iSi71Wr1dFSqbSSiG5QVff43C5BENzQeJQus27Gcb5+zFqtNht/Ll10runp6T8P7ypjZk0CaMBLaC9EUfRmVX2UiDx7kfqRInJ0w9fX7cRM803L1XZet+RhGD5rCS193081juNvuCKNMV9n5huttR9oU3+NmX/WiOPrTsX343Q8V98vGArsCAE04I5gHJwgxphfMfObrLWXOK2qb47jeE3ruG/TKV1UrpS8/2Dmm4noL4OzekNZ6QNUdS8RuXcURUeq6gdFZJ8wDFcz8wdatW8zrHooVxmTmpMAGvAS2xjGmGcT0RtF5DFRFE2o6puc9scX0G8Qkf1z2BeaK8scl9gW6KvpGmN+SkQfEpGvt2pm/qC1dtKN+zrNPmXc3Qn/4bniZ8mbM1fqXPLk6qsFQjFdJYAG3FW8/RncGLOm8Zq2Ty5GM/O3rbWfcr6+bidmmm9arnbypvi+moheQkT/3Z+rNjRV/Qczn22t/bgxxj3X+1QRWR1F0StV9WlO++N5tR+nUzHTauhGrqFZZUwkEwE04EyYhsvIGPNoIvp2tVodqVQqD2nqUqnkXjJ+hRvPon3fvDpLfN8mb/y57N2L1pcvX/6QlDm6F7Z/VVVfEATBP4drxftmNjup6vnusaBarXZtpVJx5zcfVqvV1jf15s2bf7dixQp3U+DTqtXq79x4Xt0a04+/kO5ULj9OWj2tuUTkhr5ZKRTSEwJowD3B3H9J3GlRrip3utBiNDOriLx6Mb558xaRy9U4Pj7u/nGCvzYJTE1N/c6FMMZ8QlV5sXtuoX3jxx/EXG1ihvsAEkADHsBF60TJRxxxxK6tny78f6nn/SSQ176oXC5vjk9Zf1DVu5h5cyeYL7UYqrqcmXeuVqsPyvINRtq3Ill8B93m0ksvvWOp7Q/MFwdxLOk90I3f4LL8Ztft3+bS5tVO3iW9URY5+XbvL+jGPQX9GnORiOE24ATwCXjAF7Dd8tu9CzXtTtW8d61miZPFJu9dq1liNm3CMIyY+Thm/k273IfRX1UfpqoXxHFs/bvPs+i8d9Wn3c2fdtd7Wg158+aNg7vwh3Gnd25OaMCdYzmQkdp5ltJ/VrPbcTqVK+1Z0yzPoBpj3k5Er1DVjw3kYne5aGZ+DRGdISLvaX3GPO0Z8E49G+7H6VTMtOffO52ry8uC8H1MAA24jxenV6W1eeLQ11X1hjiOP9hunCwnIHUoV6aTkRbK1av1GYQ8/slqYRi+mZnrJ5yFYfgmZn50htPXFnXC2QK5FhUz7ZS4buQahLVFjd0jgAbcPbYDEzkMw71bz9z1z9Bd6Pxd3zev9s/ozXL+bt74881roTkulMud12uM+ZeqVpk5GZgF70yhARFVRGR7d85489xtdyZ4mk47i7x53rd/9rd/bvh8MfPkaj0Dfa68vcwVx/GvO7MUiDKoBNCAB3XlOlx3lrfCpL39ZZ431uR6k02WN9B0Klfam29axtPqnx03xnyciHYlIneQx1L6+wQR3SEir5nj7VrbvJFqjrdxzb7BKu3tWi1vuZr3jVetNWR5Y9c88dPeDrbgvPLMZSltFsx1bgJowNgZdQLN966mvV81y/tYfZuF3tM633tXe5nLrzMtb9Z5ufe3RlH08CRJnkFEtw3T1lLV/yiVSpdba3/pv1/af0e0/x7mtPdOzzW+0Dui53pndZZced9fnWbfjVx4T/UwXR2Lnwsa8OLZDZ1nFEUvVtWjReSpebUx5iQievZifIcplzHmi0R0GBFdNWQb5BAiukJEXmCM+Q4zf81a+7lWTURfF5Fz3Liv0+zbGR/kXEO2NzCdRRJAA14kuGF1M8b8gJk/b629wBjzfWY+N4f2ffPqocw1DPskiqLjVPVFIvLEReoTReRJDd803U5837fvcw3DnsAcOkMADbgzHIcmijHmKUT0OREZNcYc6vSqVatG165dW9ciMmKMeXKHdeG5OjjH2bk4hkSUGGPWMvP/qqoO0Ea5l4g8kogCY4w7m/nFInKlp79njHHnNLvxXHrVqlVXrl27dq6Yfvw0nStXS21Z4ndkji2s/JjfHaA9gFK7TAANuMuABzG8MeZ8Vf1DHMfvzKvDMLyAiP7L+fo6b5ws9mm5upG3zVzfVNW/BUHg2PT9n6oeT0T3E5Gnh2H4LmZ+kIgc36qJ6D/jOD7OjafpNN92xgc5V98vPgrsKQE04J7iHoxkq1evfnDjkZGHqmqtVRPRHrVaLXHjWXSSJHPGyTKeJb5vkyVmFpssebPEabWZnp5ed9pppwU33njjHpVKpS8eXQqCINhnn31uPe2005KxsbHRIAhuaTx6VlpIl0ol9zjSrc4+i2bmBWOm2aTFz2KfN2/eXFnir1mz5veD8V8AVNkrAmjAvSI9YHmiKHqHqu4hIsfm1caYdxLR6GJ8ByVXO3M0xnyjcaPWX/tkW9y/cYPVs4wxFzLzrdbad2fVRLRORN7l7H2dN04W+0HO1SdrjTL6iAAacB8tRr+V0vi976UicgU0dY1DketujHF3bH+28Zt/J/VnRGSPLsb3ay4qV+a8Ra4xcvcvATTg/l2bwiszxjyfiE4RkYOgu8fBLXQYhmcFQXB3jxZ9R2vtKS6XMeYaIjpTRL4E3T0OPVpXpBkwAmjAA7ZgvS7XGHMFM09Za88yxnyLmW0OfUWSJFPT09PO14+TRQ9rrjSevyWiX6jqj7q5xsz8eCJ6uIjsGUXRS1Q1cjdbzaHHReSwxvi8emxs7CVBEPg2aTH98czxF6ih73N1cz0Re7AJoAEP9vp1vfowDA8MguDijRs3jq5YsWK/Vj0zMzMSBMEqNz6XJqKLkySp2zi9adOmepw03S+5/Pl2Yl7+fBea45o1a/7VjYVdvXr19uVyeX2SJEdt2rTpph122GHdQnrFihXucaG6/Vw6SZK1QRC4m/GOcroZ39dZc/n1LJQrLeZi8jZztc6lOa/F1N+cSxzH13ZjLRFzOAigAQ/HOnZ1FlEUnZkkyd1xHL8xDMMziSizjqLorCRJ7nK+fpwselhzZeFpjDnbnRBKRPe0ubjbEdH5InJyGIYfIqKd4jg+ZT4dBMFO7itqZzOP3tla+5KGzazuYHy/hoHN1ebawX3ICaABD/kCd2J6ExMT969Wq+tV9XHVavX2ZcuW1fWyZctur1ar61T18Qto3z6zniNXlryZ4zdq3mZeOea4qFxpeedguD4Igqds2rRpUW/NKZfLe5dKpe9WKpWRLVu23JeZf9RlfV2lUhmdK9eWLVtGKpVKJ2tIzdWFOfq5MuednJzsl7vcO/GfAcToAgE04C5AHcaQURS9QVUPEJFnQfeeQ+OGqedm2Vsi8pWG/TeY+Xpr7Yfdo0/QveWQZa1gs7QJoAGmT/xoAAAgAElEQVQv7fXPNXtjzC+Y+e3W2tgY83NmPjWH9n3z6mHNlYtnGIb/y8y/JKI/zrVwzPxAVXU3WN07iqJQVU8XkX0Xqd8jIo9o+GbR7eTyfYciV64LC8ZLlgAa8JJd+vwTN8YcRURvE5FHQRfLYa7VM8bcSETvFZGLoYvlkP/qgsdSJIAGvBRXvY05G2NEVa+O4/jjeXUYhrF7Td9ifJFrTuaXEdGPReS0MAxfw8wHi4jpliaiQ+I4Dl18X3cj7yDnauPygusSI4AGvMQWvN3pjo2NPTIIgitrtdooM+8OXQwHZn6sqv40SZLnqur1pVLJPVJ0qKreBl0ch+np6Z+1e43Bf+kQQANeOmvdsZlGUfQxVa2IyCugi+FARO61kd+11r7WGPNpZq5CF8+hYxcZAi0JAmjAS2KZOzvJiYmJle7xIyI6olKp/HYR2h3ccHjD19ftxEzzHdZcH6pUKm+sVqt7EtGl7vGfDuvL3OM8jZhpulN5hyLX5OTkhs5eaYg27ATQgId9hbs0P2PMy4nomSJyBHTvOTSX1RhzKRFdLiJnQBfLoUuXGsIOMQE04CFe3G5PzRhzPTN/3Fr71UXoHzPzxxbpmzdvL3PlrW3R9lEUPUdVXyMiB0AXy6Hb1xriDycBNODhXNeezCoMw8ODIPiotXavxWgi+mgcx3VfX7cTM813GHNFUXRzkiSvi+P4MmPMb1T1tU7743l1GIY3E1E9ZppeCrnyzrEnFxySDB0BNOChW9LeTigMQ3fq0i/iOH5fXh1F0VeSJFmU71LPxcz3VtV/xHH83DAM30pEj+i0DoLgEdbaenxfI9fWzHt7xSHbMBFAAx6m1SxgLkcdddTDarXaTao6miTJDqVSqa7L5fIOtVrt56o6soD27TPrOXJlyZtW57x5/Vw55rhNroZvGpNtapgjb93XNV8iOqtSqbxky5Yt/2Dm9bVabd8gCDYy87parebeWlXXpVJpv5mZGafXl0qlfZvas8/imxbHH98qr1eDH79Tufy5+Hk7lWsrVh63bXKtWbPmNwVcdkg5JATQgIdkIYucRhRF71XV+4nIi6B7w8G7CevzzPw3a+3bjDHQPeZQ5HWH3INPAA148New8BlMTEwsc48iMfOx5XL5Oujuc7DWXh1F0cGqeqF7BGlmZubx0L3lMDk5uaXwiw8FDDQBNOCBXr7+Kd4YcyIzH2OtfXKrJqLni8ih89mk+bYz3su8BeW6koi+JCLnRlH0PVW9qFvaGDP0ufLOsX+uPlQyqATQgAd15fqwbmPMVap6QRzH5znNzBdYa+vaH++GLipXL/O2sHXvIh4RkUOiKDpBVY9zOgzDE5i5J7qovL2cY1quPrz8UNIAEkADHsBF69eSx8bGDg2C4Lw777xzdOedd36ir5n5/A0bNoy48TSd5tvO+DDmWrly5SHMfJGqHrNhw4ardtllF3cO9Al33XXXD7qhV65c6Zr98d2K79dcVK48eaenp923AfgDgbYJoAG3jRABfAJRFH1BVf8kIqdCd4+DdxPW6e49wNbaFxpjoHvAAVc8CHSKABpwp0giTp3A+Pj4g5IkcTdk7cPMmxeh1zPz3g1fX7cTM823l7n8Gtqel7X2liiKHqqqvwqCYFRVl0N3n8PU1NQfcKmDQKcIoAF3iiTizBIwxrydiPYSkWOgu8rhIiK6WUTeY4yB7gEHXOYg0EkCaMCdpIlYfhP+LTO/ylr7TWMMdIc5ENGFRHSsiOwZRdEzVPWT0N3lgMsbBDpNAA2400QRr04gDMPnBUHwCmvt41s1M79SRB7nxtN0mm874/2cy68tyxyZ+WxVPTmO4y9HUXRdkiSfnk8bY36kqp9q1z5vnHZq63YuP36WXLi0QaDTBNCAO00U8WYJhGF4ORGtieP4s9Cd5XDSSSdVzjnnnGoYhi8lotVxHD8TunsccFmDQDcIoAF3gypi1gmsXr36caVSaTpJkhFV3SePLpfL+yRJEidJ4m4wcr6+XlTMtBr6OVejtvp8/Tqnp6fvHhsb2ykIgvVBEIzNzMy4m7HcWchjzDyfducZhw2bdUEQhA1fX2eJk8VmKHKtWbPmR7ikQaAbBNCAu0EVMf3fgj9DRJtE5PXGGOjOcvgIEa0QkZcZY6C7xAGXMwh0iwAacLfIIm6dQBRFu6mqewTnieVy+c/VatU9gvNEIvpLc7wbuqhcefPmtfdYnaiq5zLzKBE9QFV/kEVXKpWRmZmZf8tq78dsxzdLbf1oY639Oy5lEOgWATTgbpFFXP9T8OuY+SBr7bgx5nVE9AQRibJq3zevHsRcaTW3MHwtEX1MRD4aRdGUql7jtDHGEtEPW7Vvk6bTfP3xLL7dzpUlfhYmWeaFyxgEukkADbibdBHbb8JrVfVdcRxbY8zaIAjeNTU1tY32bdK075vXPm/eonItlHd8fPxZU1NT3wjDMGLmd4rIKl+Pj49HSZLUx32d174d30HPhcsXBLpNAA2424QRv07A/ceYiE6L43g/Y4xpNM79/PH59FxNJotvu7maNfdbrua2CsPwpkaNtlu6wV7yxnf/0JrrH0h542Sx70YuXLog0G0CaMDdJoz4swRavzpMkuTaOI4/kvcrxcXYD2Mu9xV+3q/kF7IPw/D1QRAc6H4u8HU3cvkxe5kry1xw2YJALwigAfeCMnLUCURRtJ+q/pCZR4IguH+tVrvG6cZNRPXxbuiicuXNm8deVQ9g5uuZ+QmNG7PczW1z6lKpdFCSJH9V1VSbbvhmqa0fbay17lsF/IFA1wmgAXcdMRL4BOZ4XGZ7EXlpYzyLbuexmyzxfZu0XHltsuT1c2WxfzoRfavxeNdniehfC+i0R8Dy+ua19/N2w7dT85qNgysWBHpFAA24V6SRp05gYmJiR/cokjsAolQq/bKp5zgMIu2QiPq479uOzpK3nfhpvml5s+Ryvsz8flV9S/NwDveIUK1We7g7vCRNu0NN/MM88vhmie/b9EMuv4as9U9OTv4TlyoI9IoAGnCvSCPPLAF3ZCIzj4nIMxajgyBYba2tH73YTpwsvr3MlaWepk0TpjHmm6o67Y777KQmolhEzuxkzE7XGUXR5UmS1I867VSduExBoJcE0IB7SRu5/CZ8HRHVXyAQhuF1qnrG9PT0RU77493QReXy82apIYP984joFXEcP35sbOwYZn55q3YvvGja+DrN3h9P821nPG+d7eRKm29aTFyeINBrAmjAvSaOfHUCY2NjzwiC4FMi8tAwDJ/OzJ922h9P043X79V9s9in5cqS18+VxT5LrrQ4abnS7I0xtyRJ8srp6Wn3ysdbVNU142+1avempcZrITPZ+3H8+Gnat0/LlaXOvLny2i80L1yaINBrAmjAvSaOfLME5niJ/G9E5PTGeBbtv4y+G/Z+zH7LdX8i+quIHGOMOZWIHjaHfjsR7dUY93WafTvjA50LlyUIFEEADbgI6shZJ3DUUUftUavVbg6CYISZlzlNRKOlUqnSOu5sVHW5qv66VTd9/ThZ9Hy5/Jh+3n7IVavVdgiC4JwkSU4qlUobkyRZXyqV9lLVLa2amfdm5s1u3Net9rVarUpE69LiZBnPmmuuOrPE9206meviiy++FZckCBRBAA24COrI6X8KPp2I/l1ETjDGvJuIdl9A+/anM/MDrbUvNMZsNe7FTBvPnStDzCy50uabpf7ZmpsAjTHnEdFtIvKOhv6jiJy6gPbt03SWOFls+j4XLkcQKIoAGnBR5JG3TmBiYqLUeBTphFKp9P3G25JeWC6Xr24dD4Jg1sbXSZKcsHz58rpvmk3aODN3NZdfm58rS975fK2134ui6Mmq+oXGW4oOburNmzc/KQiC89y4r2u12pOSJKmPz8zMzNr72rfJorPkSsubJb5vkzdXlviTk5M1XIogUBQBNOCiyCPvLIEwDE8gouPjOD7YGHO8qp7Q1Mx8grW2Pj6XTvP1x9N0a66F8maps5e5oii6WlXPE5HzwzC8mplnNRGdH8fxeW68qeezb8c3T67WGubybZ1Lntr8+Fly4TIEgSIJoAEXSR+5ZwlEUfQ9Vb1IRM51OkmSL8dx/PkwDL9HRNto3ybNdz6buXKl5V1Mrmb9WWrz55glV8P+Nvd1fRzHTw7D8EVBEDzPWvtkY8yJzHxMq3Y2RPS8Vvs0X388TfdjroXm6M8Flx8IFE0ADbjoFUD+OoHx8XH39ehFjROLHuf05s2bR1esWHFA67hv0/g69fGq+qXW8VqtVo+TZbxbuWZmZrapzc81X9403+XLl7szny8sl8vHbty48YfLly93p4MdUyqVftT4Cv/55XL5ulbt2zi9adOm61t9W22aMdPGmTlTroXiZMnbyVxTU1Pfx6UHAkUTQAMuegWQf5aAMebzRPR3EXnrYjQz/81a+7bF+ObNW3SuJjRjzPuIaDcReVEURe9V1fs57Y93Q/u5up23G7lw2YFAPxBAA+6HVUANzU/B/954jMa9NemfjUdnVjHz3a3jpVJp1qZTmpkXnSuvr2+/GF9r7c1RFLlHj9Y2HrnasVar3TSfVtWdmva+ZuZcvlnsfZte5spS29TU1B9xyYFAPxBAA+6HVUAN/g1Zb2XmfUXkOcaYtxDRfll1GIazvnl1p3L5cdJqaCdXi+9XiegmEXm/MearqvrzOI7f16p9mzSd1zevfZY6/ZhZ7Bc7L1xuINAvBNCA+2UlUIffhG9W1ddPT09fGoZhbk1Er4vj+LLF+ObNmzdXXnu/Ht+Xmb+mqkfHcbxXGIaHE9FHnR4bGzuCmT+SVef19e3z+rZTW6dy4TIDgX4igAbcT6uBWuoEwjA8mplfJyKPzavHxsaeEwTBaxfjO0i5iOhcIjoxjuOvGWN+nCTJx6anp7/qtKq6Zlwf74b2c3U7b6dz4RIDgX4igAbcT6uBWvwbsi4lom+KyKeNMbM6iqJLVNW9iH6rcd+moS8XkTPmGN8mZhabHHkXFT/vHL2bsF5BRM8QkSOMMVtpZn66tfbI1vE0+3bGi8qVJy8uLxDoNwJowP22IqineUPW/kmSXN54hOihTruzm4Mg2KN13LdJ075vljhZbLqRK2udk5OTGyYmJlY2Tv96ZqlUuqWpkyRxZxu7R5OemaZ9+yy+afZ5fdupLUsNafVMTU39BJcWCPQbATTgflsR1ON/Cv40Ec2IyGuMMZ8ioloO7fumxclikyVv3jrz2vs1+L4fJ6KyiLzCGON0SURemUPn9fXt2/HNUmenctXj4LICgX4kgAbcj6uCmuoEoii6t6q6853dmcd/WIwulUqHJkny34vxzZs3b6689n49RHQKEZ3JzO5NUg9KkuR73dJBEPxHrVa70sX3dTfydiOXtfYfuKRAoB8JoAH346qgJv9T8KuZ+VBrbWiMyaXDMHwNER0Sx3Fu337O1ajtTar6QRH5RBRFsape2S0dhmFMRFfFcfxxp5m5Z7maeduZIy4nEOhXAmjA/boyqGuWQBiGNxLR++I4/oavjTE3qOr73fg82vm+V0QuTouTdzwtl4vDzNvk8u3bydXiuzqO4zVhGD6LiN4ax/GjnGbmt4jIo1vHfZs0ndc3r33GGt4qIvW5pM0rT15cRiDQzwTQgPt5dVBb84assSRJXGN7xNjY2FgQBHU9Pj4+O94N3c+5mlvDGPOLIAjeNjU1NT2fTpLkbdPT0/PaZImTxaaXuRaqB5cQCPQzATTgfl4d1OZ/Ff0NIvqxiHwoiqJJVf1JVm2MmfX1dd44Wey7Hd+vwRjzRmbe31o70S1NRI8VkWe5+L7uRt5O58LlAwL9TgANuN9XCPU1b8h6uKpeHwTBqKq6m7Ny68abk+6zGN+8ebudi5kPVNVrmfkAZv5HkiTrOqnL5fL/NN6m1JX4fs3dyGWt/SUuHRDodwJowP2+QqjP/xT8QWZeaa19iTEmlw7D8ENBEOy8GN+8uXphT0RHEtElIvKmKIrOUtUN0P+fAy4bEBgEAmjAg7BKqLFOYPXq1dsHQbBeVZ+lqj/zdalUWpckyYQbT9NZfNNssvj6eTtlnzbHcrn8npmZmbcz8yODIJis1WqjTjPzN5IkcY8mpWrfvh3fXubKU+eaNWv+hUsGBAaBABrwIKwSapwlEIbhycx8lIgctpS1dxPWFap6cRzHZxtjoOP4bFwuIDAoBNCAB2WlUOcsgSiKfqiqZ4vIhXm1MeYaIjprMb79lssYcywzn2ytfUInNRG9REQO6mTMtDr9XJ3Ii8sEBAaJABrwIK0Wam3ekPU0VT1TREajKFqy2hjjbrw6xVr7bej/44BLBAQGiQAa8CCtFmr1b8j6IhGtF5F3GWOWot6diG4TkRcYY95JRCNLXePyAIFBI4AGPGgrhnrrBIwxI0R0q3s8KEkSt4997d4ENNIY93WafafG8+bKa1+vc2ZmJgiC4PNJkryoXC4n7hEkItojCALNqNc33rrULfu89fj2fm2Z6xQRZ4s/EBgoAmjAA7VcKNYnYIw5jZkfbK09bjFaVR8cx/GifPPm7XSuJocoii5Q1d+LyGnt6DAML2DmtuNkqcHP1am8uDJAYBAJoAEP4qqh5iYBDsPQffI5KY7j77rfQVX15Kza980SJ80mr28We38uKXV+JwzDpxLROXEcj4Rh+BRfM7O7SW3UjafpNN+0OHnj+3nz5spSf9OGiBSXBAgMIgE04EFcNdQ8SyCKoheo6otF5IlhGL6AmefVvn07up1cab5p9fj2vo0x5gfM/Dlr7RedVtXPxXFc1/54mk079ll8O1XbQrlwOYDAoBJAAx7UlUPdswSMMe7u10kROWcR+jtE9PVF+raTt13fvxLR/UXkacaYk4hoYilqXAYgMMgE0IAHefVQe51AFEVPUNWvVSoVd4PSo4ddV6vVA5nZ/fZ7XKVSubZarbrHkY4ul8s3DIFez8zPzjIXa+0PcQmAwCATQAMe5NVD7f6n4LOZ+Q5r7ZuNMUOvvZuwPqCqu4rIyVEULSmN7Q8Cg04ADXjQVxD11wmMjY39WxAE62q12v6uETtdKpX2r1arde2Pz6WZeX2SJI9xvr7O4uvnyuLbmqtcLj8mT53O/uKLL/7VUUcdtc/MzMxPVXXENeFSqfSTJEnc26Lm1JVKZVffPgiCBX2bNs63VqvNG781rx8/TS9Uc9pcpqen/4ytDwKDTgANeNBXEPXPEgjD8E3M/GgRefZS0MaYr6vqDXEcf3CpaWx7EBgGAmjAw7CKmMMsgSiKfpkkyVviOF4zzFpVLTNH1tqHh2G4OgiC9y8Vje0OAsNCAA14WFYS86gTiKLIvZLwTSLymDn0m0Xk0QvYpPn2cjxLnecz8/HW2kljzE+Z+YNz6BuY+QML2KT59nI8V53Y6iAwLATQgIdlJTGPWQLGmGki+q6IfHJYdXOyxphXEdFTRGRsKWhscxAYJgJowMO0mphLnYAx5tFE9G33WFK1Wn1wi/5OpVIZaYyn6by+afb+eEdzTU5O/u/ExMS93GNHRPS0SqXy+2q16k4Fe+oc2rdJ075vXvtu+9bji8gN2OIgMEwE0ICHaTUxF/9T8CeYma21rzLGDKWOouiTqqoi8uqloLG9QWDYCKABD9uKYj51AkccccSulUplXZIkT3ePCblXFzpdq9XWN8e7oXuVi4heTUSfqFaro6VSaSQIgm8Ns7700kvvwNYGgWEjgAY8bCuK+cwSiKLolar6NBFZHYbhK5l5VhPRYXEcH9k63rSZz9ePk9d+rryLrPOtqvq+OI4/ZYxZo6rfdjoMw0uI6IrWcWfDzN+21ma2b8b042fVfq6m9mubr8658mJbg8AwEkADHsZVxZz8r6J/QkQfFpGvG2OGSR8mIlcYY55NRG8Qkf2HVWM7g8CwEkADHtaVxbzqBKIoOlJVPygi+zT0h0Rk7xza980SJ80mr++89s3lNcb8mpnfaK29pEX/ipnf1Bj3dRb7NJssvnnzLpgLWxkEhpUAGvCwrizm5X8K/hoz/8xa+wFjzNDoKIrerKqPFJGjh1VjG4PAMBNAAx7m1cXc6gTCMNybmW+cmZkZqVQqO6vqz9yjSFu2bFnZHC+VSpl0EAQ3lMvl0Sy+c+XKm9e39zURHURE16jqo5YtW7bBPYLUqmu12oZyuVwfT9Nz+TLzI6vV6l1z+XY613y1xXH8a2xhEBhmAmjAw7y6mNssgTAM309E947j+KQ59H3iOH5xY9zXafadGs+by7c3RCRxHL8lDMPPEdH/NPQ5RPSPBXReez9mXl/fPk3PWTO2LwgMOwE04GFfYcyvTuCQQw7Zbtddd3WPJT13y5YtP95uu+3cY0nP3bBhw09WrlzpHlOq66ZNmm717bS9n9fP5fSyZcvcgRTNmk/bsGHDaStXrtyfiL6yZcuWkWXLlj02CIKv3HPPPbP6jjvuGHU2bjxN+/bt+C6Uy9W5YcOG2Xrmy3XVVVfdg60LAsNOAA142FcY85slEEXRi1X1OSLylEXqo0XkqQ1fX+eNmcV33lzNSRljvsvMX7XWfs4Y8x1m/toc2rdJs0+zyeKbN++CubBtQWApEEADXgqrjDnOEjDGfJ+Zz7XWXjDoOoqi41T1RBF50jBpbFcQWCoE0ICXykpjnnUCxpinENHnV61aNXLTTTcdoqrnOr127dpDm+Pd0F3ItcfatWtvJaIXrVq16sq1a9e6r6cXrZn5xP322++qduNkqWG+XCLyXWxVEFgqBNCAl8pKY57+p2D3Kr8/WGvfaYwZSE1EDyGi34nI8VEUvUtVHzQMGtsUBJYSATTgpbTamGudwOrVqx9cKpXcDVl7BkEw0zgneiutqrWmTZrO65tm74/nyPV592kzSZJyEAS/JaKRpq7VaqPMXHLjvvZt0nRe3zT7LHlbfdesWfN7bFEQWEoE0ICX0mpjrrMEwjB8BzPvISLHOk1ED43j+PlZdBRF71DVWd+0OP54Fhu/hqZ9Wq7mRIwxF6rqrXEcv9tpZr7VWlvXzfEwDL9ERLc0bfKMp/lmyeX7zhenWQ+2JwgsNQJowEttxTFf/6to9xvqyxpnKg+iPoyIPiMiexhjBlpjW4LAUiSABrwUVx1zrhMwxjyfiF4qIgcuUp8iIgct0redvE3fa4nosyLyJWNML/U1RHRmnrzM/Blr7UVpdWJLgsBSJIAGvBRXHXP2PwV/i5mttfYsY8y33OlSInLmfNq3T9N+nLw2GX3/4U72EpGnR1H0ElWNWrUx5hT374ys436cNN8suXzfLHGwHUFgqRJAA16qK4951wmEYXggM0/961//Gtlhhx32VVW70047jfzzn/+cU9911137Ne1XrFgxq9N8m/Yupu/bZq4DVPU8Zj5h48aN12+//fbuvOfxTZs23dTUO++880133333emaOdtxxx5/PpTdu3PjzVnsXJ83Xt8+bq1mDH9/pOI7dJ3f8gcCSJIAGvCSXHZP2CYRheCYR3R3H8Rsb+p9xHL/B6SAI/mmtrWsimh1v0XP6LsI+S5y6TbP+MAw/REQ7xXF8Sov+MBHt2BhP075vXvs5faMo+nCSJHPlndMeOxEEljIBNOClvPqYe53A2NjY/YIgcJ8iH6+qf3c6SZIDiehvzOwOuKiP+7ppX61Wb1+2bNk633c+PZd9M5dfw0K54jj+RRiGj2Dm67Zs2TJaqVTu62siuk5VR5h5NzeeJMkIEbl5Xut0c9z3bY7P5TuXfdPXt5/P18/r9PT09N+wBUFgKRNAA17Kq4+5zxKIougNqvo4ETmqRb/eNdQ5xtPsezZujLmYmX9krf1wH+nrrLUfadTj623qxPYDgaVOAA14qe8AzH+WgDHm58x8qrU2dpqI3uHuyJpP+/ZZfPPa+zW0xL+EiI4UkX2jKApV9XSnjTHuNYXvnk/79ll889r7NaT5YtuBAAgQoQFjF4BAg4Ax5igieruIPDKKonFVPTWrzuLr22Sx92uYw/dCIjpWRC42xvyMiN7T1Mx8urV2yo2n6XbsO+GLTQcCIIAGjD0AAlsRMMYIM19trf14Q3/fWvuxHDqvb177ej3NoqMoeq2qPsl9UM+oX6OqBy/Svh3f2Tqx5UAABP6PAD4BYyeAgEfAGLOKiK6u1WojpVLp353evHnz6PLlyx/YOu7bOM3MuwdBcFXreDNOlvGsudasWfM/q1evvk+pVHI3iR1cq9X+OJfevHnzn5YvX75uPps03+Z4kiTurVG3LZRroTiuBhFZiw0HAiCABow9AAJzEgjD0H3CXBbH8ct9bYz5qKoud+O+TrNP881in9H3DCLaEsfxa8MwPIOZN4vI65z2x7PovL6+fZqeKy+2HAiAwP8ngE/A2A0g0ELgmGOO2Xnjxo3uk+URmzdv/s3y5cvdI0pHbtmy5ea59I477nhz036HHXb4TVZfFz+PfUsNb2TmD+2www7u0JC9mPmSzZs3jyxbtmxOvXz58ocR0aXOfuPGjXWd1z5vLhe/mdfpyy+//C5sNhAAATRg7AEQmJeAMeblRHS4iBweRdHLVPWI+bRvn8U3r71fQ8PXvcHJ3e18hjHmMma+1Fr7mfk0EV22WPtO+GLLgQAIbE0An4CxI0AghYAx5npm/ri19qtOE9EnROQrxpgfEdEnG9of30qn+Kbae/EXtImi6GBr7dXGmOcS0atF5IBO6SiKnqOqr3ExfT1H/FeJyOOy5MUmAwEQ2JYAGjB2BQikN+BnEtHHReRhxphcOgzDw5n5Y4vxzZKrWbIx5jdE5Jrl5Z3UqvraOI4v61RMbDIQAAE0YOwBEMhFIAzDrxDRL+M4fq8x5svM/Ctrbap29kEQ/NLZ+L7+eFqcNPs03yiK3qaq+4jI85xOkuThcRw/19dhGL6NiGbHffu5fH37rL7NOK32zXpyAYcxCCwhAvgEvIQWG1PNT2BsbGzPIAh+4c5VVtXtnZ6ZmRkNgmBFqVT6RbVa3Ua32i/km8W+NU5I1I8AAA/CSURBVO/MzMyTyuXy92u12iOSJNlULpfXJUmylWbmf7kzpd24r519pVJZ1+qb1T6P7/T09G/zU4cHCCwNAmjAS2OdMcs2CERR9B5VfYCInOjrMAzfw8zbjLfYv1dV79/qmxYzx/gEM09aa99ujDmXmf/SIf1Xa+3b5oupqn+J4zhT3jawwxUEhp4AGvDQLzEm2C6Bk046qfL3v//dPZb0gt122+2aFu0OuTiuMe7rreyZ+dj73ve+187jmxY/bfwdu+2227v//ve/H0REX9xtt91GcugLdtttt1Hf/vbbbz9QVS9MiePbb+Oblvecc86ptsse/iAwzATQgId5dTG3jhGIouiFqurOXj40rzbGnEhEz1+Mb1qu5sSMMVcy84XW2i/0m+4YfAQCgSElgAY8pAuLaXWegDHmKmb+4iKbne+bJU6a/ex4ozm/QEQOWUCn/cOhHV8/ph+nPt55+ogIAsNHAA14+NYUM+oSAWPMIUR0wZ133jmyyy67PMHp2267bXT33Xd3XwNvpX2bNJ3Xt8V+r9133/1m9/X3bbfdds3uu+9e//r7zjvv/OEuu+zivrbeSvs27din+frjInJVl5YAYUFgqAigAQ/VcmIy3SYQhuEXiOjPzZuQ/BuSFtK+b5Y4aTaN8YcS0S1xHL/QvxnMaSL6t7nGmzeMtdr49ll80+I0x7u9BogPAsNCAA14WFYS8+gJgSOPPPI/yuWye7Tn4Y3Hf2Z1y+M529gsX758U7VaXc/M+1Sr1XvS4mQcP2dmZuYk9ziUe+54ZmZmJK+uVCrbqeqvKpXKyObNm1Pj+I9bLZTrkksu+e+eLASSgMAQEEADHoJFxBR6S6D1AIy0wy3mGjfGvJ2I9m4enpHH18/bnHGWw0F6adPblUA2EBhsAmjAg71+qL4gAsYYd8CEO4PZHQHp67SjIdPs03yz2LvjMd351Hs2jq/0ddoRmmn2bfsWtBRICwIDSwANeGCXDoUXSaDxAgL/ZQRFaP+lEIXrItcDuUFgEAmgAQ/iqqHmviDgXv2nqpfGcTzvawDnelVgGIaXE9ElztfpIAguWeh1gn4uIrqbiHZyr0gMw/BlzDzv6xLd6wyTJDkyjuNnOnsimtVZfJuvY0zL1RcLgiJAYMAIoAEP2IKh3P4hEIbhAcy8ZvPmzaPLli3by9dBEKy555576uO+brVPkmSEmffO41sulx9TKpU+X6vVXjQzM/PT5cuXr1PV1Vu2bLl5u+22c2dCb6ObNqr66yAI1jft8/i6+L59U8dx7F6fiD8QAIGcBNCAcwKDOQj4BKIoOkNVN4vI63wdhuEZzLzNeJp9Xt9mDcaYjzLzcmvty1u1qi6P43ib8TR7fzyPL3YECIDA4gigAS+OG7xAoE5gYmLivu7RIiJ6UqVS+VOLdodjHNwYT9N5fev2IrLWGLOKiL7vHiOqVqsPJKKrK5XK6Bzat0nTeX3r9pOTk7djK4AACCyOABrw4rjBCwRmCURR9FpVfaKIRL3UxhjLzD+w1n6sKI1tAAIgsHgCaMCLZwdPEJglYIz5GTOfbq2dWoRey8zvbvj6OjUmEV1BRIeJyCOjKBpX1VN7rbH8IAAC7RFAA26PH7xBoE7AGGOY+V3W2v16oYnoy0T0PPm/j903qeo7e62x9CAAAu0RQANujx+8QcD/FHyxql4Xx/FHjDFd1c2kYRi+npkfLyJH9VJj2UEABNongAbcPkNEAIE6gbGxsX2DILgmSZJRIrqfr5n5WlUdceO+TrNP822OT09P/21sbMzlcI8dubcx/Y2Z3eNFBzrtj6dp3z6P7/T09M+x5CAAAu0TQANunyEigMAsgSiKPqyqO4jIS7utjTGfZeaN1to39FJjuUEABDpDAA24MxwRBQTqBCYmJnasVqvrmDkql8u/aFO7NyeZlDinqurp7lGgmZmZR6iq7YWenJz8J5YaBECgMwTQgDvDEVFAYJaAMeYUIgpF5Bld1O8moneIyJnGmG8SUdwLjWUGARDoHAE04M6xRCQQ8Jvwtcz8GWvtRcaYjmt3DKY7AjKKomNU9WUicmC3NZYXBECgswTQgDvLE9FAoE4gDMOnM/OnReShc+gzRGSPxriv0+z98bp9E7Mx5lZVfXkcx98yxtyiqq9YQPv2C/pGUXRLkiT1mFhaEACBzhJAA+4sT0QDgVkCURR9SVV/KyKnh2H4JWbOrH3ftDjGGPc78J5xHD/faWbe01o7r/bt07Qfp2mDZQUBEOg8ATTgzjNFRBCoEzjqqKP2qNVqvyGikZmZmUq5XL6ZiEZLpVKlOb6A9u238mXmg1X16lKp9LBarVYlonWlUmmvOfR6zyZNr5uZmdmrXC67ONvYXHzxxbdiSUEABDpPAA2480wREQRmCRhj3M1Su4vICR3WzyWir4jIO4wx5xHRbd3SWE4QAIHuEEAD7g5XRAWBOoGJiYlS41GkE/fbb7+r1q5d6x4tOrFcLl/dHF+kfkulUnn/zMyM+yR8buMRpI7rycnJGpYSBECgOwTQgLvDFVFBwP8UfDwzn2CtPdgYs5UmoheKyJNax9Psm+PN4FEUXa2q54nI+Vm0Meb7RPSFrPZYRhAAge4RQAPuHltEBgG/CX9XVb8Sx/HnjTEd0WEYvoiZnysiT+mGxvKBAAh0lwAacHf5IjoI1AmMjY09KQiCizZv3jxaqVQO8DUzf3nLli0jbjxNz+G7z/Lly3+VJMkx1Wr1+uXLl7szobfRy5Ytc+dDP8/Z+Hoh++npafdJGX8gAAJdJIAG3EW4CA0CPoEoij6nqreLyFs7oPdh5l9Za19sjHkfM9+3kxorBwIg0H0CaMDdZ4wMIFAnMD4+/u9Jkrhzoh9ZLpfvqlar7oasRzLz3c3xHPrMIAhOUdWdVPVnQRCM5tGVSsU9GrXzXL5TU1N/xJKBAAh0nwAacPcZIwMIzBIwxryFiPYTkefMoVeJyNEL2NR9mwGNMV8loptE5P3z6K8R0doFbGbjYLlAAAR6QwANuDeckQUE/Cb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struct="atomic" id="26"></list></costumes><sounds><list struct="atomic" id="27"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><sprite name="Sprite" idx="1" x="-1.4999999999996347" y="-174.07110616067231" heading="330" scale="1" volume="100" pan="0" rotation="1" draggable="true" costume="0" color="80,80,80,1" pen="tip" id="32"><costumes><list struct="atomic" id="33"></list></costumes><sounds><list struct="atomic" id="34"></list></sounds><blocks></blocks><variables></variables><scripts><script x="287" y="230.56666666666672"><block s="doFor"><l>i</l><l>1</l><l>10</l><script><block s="bubble"><block var="i"/></block></script></block></script><script x="628" y="235"><block s="doFor"><l>i</l><l>2</l><l>30</l><script><block s="bubble"><block s="reportVariadicProduct"><list><l>2</l><block var="i"/></list></block></block></script></block></script><script x="668" y="423.16666666666674"><block s="receiveKey"><l><option>c</option></l><list></list></block><block s="down"></block><block s="doFor"><l>length</l><l>10</l><l>0</l><script><block s="forward"><block s="reportVariadicProduct"><list><l>10</l><block var="length"/></list></block></block><block s="turn"><l>5</l></block></script></block></script><comment x="906" y="107" w="233" collapsed="false">Essential, what it&apos;s doing is through an if function, we inform it to count through a set of numbers. For example, if we have for(i)=10 to 1, it&apos;ll count down by 1 from 10 until it reaches 0. What we have in the spiral function is we inform it to sitll count by that, but instead multiply every output by a certain amount. For example, for(i)=10 to 1, mult 10i. &#xD;&#xD;Once we have that value, we&apos;re telling it to move by the value that is outputted by our 10i, since in our example it&apos;s from 10 to 1, it&apos;ll count downwards, and be multiplied by 10, so it&apos;ll move by decreasing multiples of 10&#xD;&#xD;We have the function move by that amount, then they by a certain degree that defines what type of polygon they are. </comment><script x="129" y="556.3333333333331"><custom-block s="sides %s sizeness: %s gap %s"><l></l><l></l><l></l></custom-block></script><script x="766.5859375" y="699.4666666666667"><block s="reportVariadicProduct"><list><l>10</l><l></l></list></block></script><script x="286" y="414.6666666666663"><block s="setHeading"><l>90</l></block><block s="clear"></block><block s="up"></block><block s="gotoXY"><l>0</l><l>0</l></block><block s="down"></block><custom-block s="sides %s sizeness: %s gap %s"><l>3</l><l>100</l><l>3</l></custom-block></script></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="Lab5_ForLoops" app="Snap! 8.1, https://snap.berkeley.edu" version="2"></media></snapdata>