Wolfram
Mathematica
8의 신기능: 그래프 및 네트워크 모델링
◄
이전
|
다음
►
응용 분야
이미지로부터 그래프 얻기
Mathematica
8에서
MorphologicalGraph
함수를 이용하여 골량 구조 그래프를 만들 수 있습니다.
In[1]:=
X
image = \!\(\* GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzUved7m1lyL8jd537Yf2O/I+ecc845Z4DIBJjAnHPOOecgZiqTIilRIpVT q6enu2fscVjb4/X1zrXXvnu9L0Aqkt09smemR/WopQbw4sWpc+pU/Sqcev9P R0Th+d+zsrJy/g/gL4U9jx6P2wuU/w14wShIuB3pj7L+t/P//usEwSor5u8+ PN6cnpwcHRubnB7tae9oqKtKBfVc4vk1eDadAP/4axhbY0++kgz7g4zhZyWE IKd3aXN1pGtwYmJhZnK0qzqVnyqI2YQEJCLDNJjEphGRn35NVNBWmS0kgf/0 A/4DE4hiL+0aGWyq7xkbG2yrKUlmu10hv5Ge/gwOBQSEIRYRMRf4RBlTVaVG Pgb0px/xH5gwylBtz0BrU09/e5FfyeMKFXqnWXgm7yAQCC+Rc3CIi18jGWKF HiUFfvGTL4zgAntp78z4yHhPpVcEycrC8dUaCeX8QySGLhVR0JBLvkczBJwq BvbL3wE0ZW7PlfX1teEyFQkQbLZcxySjzj4C40kUJp1wYfeniaJyaMRM/GVT 82URnGqvmV5cXe3N4xJxHJ1ZLUShUIjMuoLRAOtQ7GWLjJVY3RqlhIX6Uw/3 D08wXrile2Co2sXnyr0JLxcCReEJZ3xl1BuSdMkuZ1gCAZfLrqH9KUf6RyKK vbKju63EZ3fn1+cJYTASlS9jAu9DYGfSDUZfWGUoRaK3OHJKYvJLN8eXRVhD 5eB4f1U0WtNTbcSAEFQKk0dDQDFE/BnAgWAwn3wDRSASgFmy5eWZqV++CcRr K6ZWZ7vr2mfGohQQAotG4hhMKp3HoOLOLgBDP/4ChsNJzwhMlJ1wCTBfvAqk asvnrm7OT82MlUkQKBIBDsMw+Bwmg0yjk6CXXA+hyiQZcEwzB+ziT7Hxl0d4 Zcn87RvrS31lFhaJymBQ8Tg6n88gESl0KvbDC9+KOkGsFuGBf3EKl1NBvHjD L4zAosLpGzdXJ6tzHHoply9nEZAEgUohIuNRHy0/5J0dpCk1HGAywDxX1Mm5 TES+KAKLkj3LOysjdSUxh4zFV7PxcLzYoJXgMpzB3ml41DscDKJwMxCRYE2l nALSF+4HYhTRmpG1tame+qiSQmAIxAwCTarmojPLDSVQ8Rm+QSgi7j0Qgma0 HlhT0lTsE5G/bBWIl8VapteuzPdWeYUYMIomEYikXCwUntnuCK5aLeORkQgS j4m+8FWiu6mj3McFg75kPwAvCTfP7lzb7q+P6egoDJkv06lZKCxLwCZjsDSR Wq+TM9FwPIuNu2jrRXlNLUU2+iUe4pdDaIG/bvra3q2p7hKvgsOVKs1el5ov VJk1Ig6bKxBL5DIuCU/jy9kEDAqJSjv92HNkkAVVJRuai630L1kJIrju6ont a9tLQzUxu8kVicQTOWGvWaNViHgsOoNDZoulco3B6NCKuDyRXMVhcBWSt4aR aCvt7Egp0F/wBkBwPbWT61fm5oZbK/ITqZrqqsKgy2FSCjlMOgmDp9H4SpM3 nO00Kvlsodbmtts8Ea/gnGGkvrhvvNn4JfuBCK6vYWZzZWJmcmywvaaytqo6 qaKxlXomAYVGQJEksdpgtNp1fAwClIVmy1VqnTsRt/DpGcOIVsW7p/ucX7Ib BKK76ud2N2bnZmfG2kvi0Zykg45kGV08DOD848kstckgZrx1gmEYNAzDM9q0 CrVYwKFTOWpHycBIgv7zsvBfI4K5avba7vLsxFBbyq1VeZwyIs0UylYRs5Bs iUKjtxuZH2t+GJVBpvJkGqPJZLFaHY0TtaovGQMhZPmT+/f2Fka768IatSPq VQt1saI8Cw3K8iUdQg6PT/+YPXgmJAolckVSjdlmyhuYKOL8PEP/gxBUlBzf f3B3d2msszg7VtVcEnTYPZFcMxsrihU76UgCjfDJN94BPhiJJ9Ym+uc7nPg/ 8aD/gATiRYf3Hz3c316Z7qrtmJtpK/BrhUqPkU/kB4vs+Cw4/hz5IVAXkS6G wHE2zi22WT4Nknw5BOJk9916+uL27sbycNvglZWepIaCZqgVXDzFFHfQ0WQm BQ2DQEA4JhN78ctZMH6oe2vzC1YBEJan/drTrw52l0frC2uGF7pDTDhBpJFJ +GJXYcKqN1t0KqWUL1Aa9SISHJy2iXQy9r0soESJqd1e76XBki+BwDRL/ebj r5/enm+JmLOrB5uDfLrS5fMGQomqjuayvKJUPByN+KOxWMipEbCYdJZYLuKy qIQMw2AYDK8u76swUb5YEEDQlK88+sWb4yudEZ29sKm6IJQdLyqvqyipaGiq LiqtryuIxHKTBXGf3aQW0Ak4Ao1OIZHpTBoOiSGS6Tgkw5JtoEJBMDz5i5wD tDy1cPrN69Ob02VOT0FddWNXV1NL/0BNIhoPuSyFdfVJhyM76jPwGTTy+yAI hiES83kclpiKwvPFJOAtBEfK/BJjARBeZODW869en250FCZTNQ1dIyMdteW1 OXaDSsDm+KvrvWKNN9vE+MT/ZZvMGo1GadLwiGRG2kSAeTY79wsMiIPYga7d h19/++bOWGNjV//AUF9jKh4L29QarZiGNyYKrCKFycj/1MkhStRGt9/jcBgk fG4GIrADBXbaF6gGmd62zfsvfvntg6WBYcAL6K70q+UavVJl9VpFJJ7eJGYJ RNwL4R8wnqMP5+Z4wxGvWcVOf0xLdFdavjwkBGJ42rZOnr75xen23PTscFvK ycfjaXyZ0Z8TsUhIVCIaQ2VQLn4PTlH6YhFnKJETcsjSLhCrZGGySv7lhcTp nvbdx69/8ebx4e5sf0lYx8ZCEQSyyOjyB93GjMrDUt9qNhAUiSdmtCAMSxXp zCal0Z2dneYfhJJVLK1PlDgZX1o0hOJqv/r0zZuXj09ujpTqxTQcGoWncTRW k9njd7HTri+cImBTCBSeTCFTaMwWFROPhaNwJBqTyWAJFDq9nIEFnAFVXs/0 9HSTj/OFWQGqu+P685evnj8+vdbqFfF5AoFArndHQjZLMB7iZRYbyzUazK5w POxz2F0Bv0UuIOBwBDIJj6GxBUIWDpoFQdA0gVTTwOp8b6Ge/HOz9DkEZvq6 b716/vrV80dXG8waQOy9nlB+aVWB25UoiHHPCsEoNn9ueU15jkenUFr9br2E SyPR2GwakcUXc9N+AZ7ANflj5V2Lu7dXG+1fUmIYKQx2XX/x5uuvXxzOVoez i5tb6msB5FedFyxoa0qyznIdREtuQ1NFjpFFwSApQrlSyaFQ+FI+BYchsLhp 5w9KFipNvkikemRz98pAQvbl2EEEP9hz69UvXj0+2hquiCYqWjtaGqrLE/Fg pGagvYCXWX+cOJRXlBd1S/HAwsLIXIlKKRaIRJkKGCIzAw0wbL5ALBGrIi1T aytdedJPowZ/vkT3dt14/vWTvbWJ9uJosqS6qjTXb1HJVb7K5mIPO+3YYsWu RMSpVUrPNjaUJNQ6bWo2KeP14zhp9JuFZtAypYJEXV7v0uJ4ieWit/xnSiR3 940nr443J7trkv7saNRnlDKwaAzDGPKrWThgvZlyS7ZDxyPhsefbGsFSB8Lm c0uPZHEAXxBMYJLOXkMYtsqx1clqw5cSEyH7B28/enhrvq+xKGA2WvR8XHrP Q2hKLZ+AhGaBWCaHUU3Bf1jqgGa7EtmMty9YgCOEJ1PeQUSorGh4Z6HRwbgs Mwb7syuZoIZGb907WBuoLQwaxDw+7Qy/QJkSHplAIWKpao+N/6kwwzSxfN1b TvAinQVQjO91PkiZv7F3fSBhkrDBoCwQDEum0/GAjUQTyTyFRsZjEv6cwkWc 3Nk7R9enayIOrYDGeJvPxgtEbI5Mr1VpbQ4V+YI947kSTubbFySFXf7RYsOl Dav3rg7VFYZNRr3B6o0kgx67zel2OaxOp80T8hn/fNQjVlW1dXq6M5RvlvJo OMG56UZxVHKRxhsPB7wuo5D4odBm5IOq9dl471imqcw8FOSDSUJqG7avzg+3 VzU31NY0tA+MdXb1j44PtlQ6zEqVv6q+7M8HJFJsnbdP9q90J0x8Eo7IZ2Wy uyiRExAHcyDqjBdGrEou6d0GQLPY6StwDJFcIXi35SkmKRWL+cBHJnrrG0uD 7lBJ22BnbV3nUPfYwubh6bWxcq+Ioa8bqOf+ucSKEFx/7+2Tw53J2mw5BU/h 0AkoNIkrsfhDbocv4BFprVanz22inAMaOlfIycwQjCqQS9/l/hESDplIpXyw B4SBsIVNYNlyqhvq6ptbuodGxlb397e6i72ugu5m/59N2QhBHu3ZPdzf3x6v cgqYXAYJT5NZvQG3Tacy2DRcMALPteflB/mEtNgjqFIh67zuGUUXazSKt7k/ EgFPYnE+8P6xcpMMkQWiyP2p2rbOjsGxgdbO6dWl4a729o6WMP2dkwhC/KxY GURWhRun1zduX1vqTJpkEiISTjNEchM2CRFLY2WknmjNC+uYJDQkzY2U/das g7Esld2nOH+JwuKILAH9A6mmqLQAIoDRND4AU9UPjA81VDa2t/SOzI1X+7jv L+PYzcyf0WOGkGSugubB8fmZocY8h4wNSWe1Q4m46Z1yz6LaInocBEun41A0 qYz9ds+DMTSRwaU6LwaBYnBYikDI/ODWHAMPnAXGC9Q6rdFa1tLZUNvW3T7c 21nygX8IFhTPjcV/xvwhGMvRePLr2ttbaosiFk5ag0HFnkhYT313CUXv4ANS oDDIWTSGgEU81wQ4Np8vUcveijwEngUBJuADw041qzDp/IJYKhTJ/EVNbQPz y7PDJTbe+2uQguqNF/utVurPpw3SYuwpqGlpqS+JWjLeHlrqzA7o3q8RVqwT IFFMlVHNI8BReBI2fREczxYL6HSumHK+fUHAtMCZgvcbO4tqMadfYQQ6iytQ 2DI2u7w22ZajwL3/bby5eOHG7amqsFHwMyoBLM8YLe0f6mssdPORaeCrcvq8 xrfrD4ageTo1j85ks1npM19gEpWAIdIZTB6PgkSRJexzdYgB+ALTBZL37BG0 RgYUkgXnmIIFFaNrt/euzpSZiB8wilZVLazNtyey4xHHz1hDAybKvHmN/eM9 ZV4JKQtOl8gkKrOaR0SBszAcNhmFYqiMOikTDYWejZ0m5LHYQhGHAMmCobgc JgWHQiKJuHRKECeQSFjn+wOElbkMDAKOLLIXDW4cPjlZqA18uD2y4Pqu9bWe moBK441FeD9fFR2IKHPFSlqG+hsSBh5VoNbIRBIFi0oi07hKiwCPIHMFcpNJ 8HaAEIaATQE+pOLhEBiSSiUTiVSOUMwlwkEIMlsgE5+DZQhO7rWLaEyxs3L6 1smLo8l83Uf5IZik5uqd1aqYikIWm13ynxEQE8Qmd7SiZ7SvJmyy+gIWpUTA BEMgSLrGE5Lh0Fwejqx2vBsgjg/IPAKBpdBIWBSKgEVAoFiGQKPkEfGA98BT aoXnWBGpiCZ9jmBRx/qjF6e3B3zMjz0/RnLr1Z3hmE1EJdEEKunPGDPEsKVK Z7J1bKKnIpEqilk1al7GyCFk7oCGzZKyAJkXCTlnpc4IpkIjIsFRRK5MwsKj 0GdvEgUqJY8j5JHIQrX4fKZQ2qKmuoaR9f2nrw/mqqyfZEZwls69e9OlYafZ ahDSKOyfsZAagqPQZK7ygcmRrpbW6rBeqzsz4zCBwaRTK0VplQYlCwQkQHxR gLB6nCo2nSXR6/h4BDyj70EIgkgt4ojEPCxDzAc4heDRSJqzaWJ64c7L14+u 9yZkuI9/EyovHZvvL/YE3IG8PJeULeb9nIkTGIKszO2amBibGKjyqJTyzGDB eLZAIFNJMwMDoJ9WwqTSWAKNL1WR6xFx+QD8R8Nw2DMJQHIUQgZbomILJDw8 YDMoJJoqNXXz8MV3358u1dnZn+h3iCA5NFofs2kUKmu0uKQwz+9S/KxllFhZ Xt/U5PRiX4lVJuFkWEIRCUSKSHymtIh8o9fn0KuEQpkj1VAWVrIIJBIajiTT 2cw0IkIwlSo+gyPh84V8Go7EkSrM+WN3f/H93393OJKQfhoKQ3NzB5Z7c8xy Dpkj1TiSte1lZRHxn5zpD4ikLRubn5pebss1SAVncAyDQ6ApajENlsYETLE1 VphwaVg0qsSfipk1NAgIAoLh8AyJUsrEQGB0nV3NJFExWDKbJ9A4EwU1Ywff /d3f/fqgN8C88Gs0c//6ZqtfJ8ATuQIaRR7Ir22pcVMvXPenI3x29/Tq6txs W0ijkvPT64Wk4OB4gV1Dh6M5UjGbrYpVFZi5cCgEJ7J5HGdLiqOT8TiqSCXl cFQmjYiZfhNMljhS7UPbD559+w9/++agy0a/EPED6Rt31karQiYxHc/iMylM gdiRX1eo/vliAjBm3vD0zPTUQleOxaTLbHkcm0GgCMwmtUShU7BhKH6oMk+V MW1oscnGzqAcLIOEBFwosUZncNjTmCEdBKQ7quf2Xv71P//3f/qHr25W2qkX FDuYkze5PlQe9Tl0Ej6DwRPy+GJLdjLqlOI+vfRPRWhVzdzs6NDklbHyUMCt T4d2iUIhncISqw1mm1UCmDSiJT8mP3P+CGL1mY0jccnpeSAp7bFkUM1iiWRs AkFZsvT0r377b//rn78/HEhwUe+Pjr0lZnj45myV3WB3Wo1GDlWilwslSpVK 5w3Ifi4/COPqXFueGp/bXGwvLYg6AXcERBSKaVgsjiVRatRsQDJhHKNVyUGm wxVwMisT7IdxzttA0OQ5RXk2qcIecNvcJdOnf/3P/+Pffvf9rS43Iz09kI/9 e5K7e+tWf65ObdTrzXYxU6LXSMWAIBF0MQ//Z9oCxNjw7s7GlbWdpb6Gitxs DQmBBAw+EVgOAofHZaXTXoCnCOxTFoeBRWBpbHHaWpGEvPNoANoQTLg1+kBu JNV+5enf/eu//7//+Hqt1kq7uJ4IjrvtypWx2hynVScSqtViJo0jkfAAZyOL HylKyOk/hwjAeSUze3f2b+1szw121qcSXiWLxhJy0sxhWTTsWwUGJnP0Rr1M KDdYrRw44NoLWW9HS1R7zRKFK8dbMf/kH/7Xf/zbb59OJUWXQDowL9yxuNSV nxMJenV8rpTFwIEgRBYT8C5A3EBVaypizkz7n5bI+vq1k5Pj/e3NK3MT3RXF +QGVWCjIrB7hrOyVlE5ZQKh8I+Abe7LDEbuYCAVTRdy3XhFMZFbQ2OZYfvfN 7//1P37316czSenFI2NZGGmkZ36iIWKxu9wOo1ohJ2VugGMR4BCCxJ4or2+s L4uYZQIihZiZvT9NXIDlarv6/Mn9W5vrN3fXx+orK/LMagk/bQVQTDYwQhjR oKCmEz1qsTEQTyQiPp2QAs8iSd+ledFSkwhLMeSMbL/87f/3P//meU/ssq2M Fybbl5caPRqNRq/XWxxW7VlhEZzHQKNYSq3RkVM9MDncXl9TUFwYdph1ciGH /CdImAnikzefPdrb2Vy/sbM6WF5QEDHo5PT03NN4HGQWiGMKabBZcI5SLVTY Al4tjw4GQ5EEtlRDPRsdhMIxWHlsb/31V7/93e/+Zr/XJiFd9OjBkvD87lZv nlsv1VhMUqHKoDufPxwOg+caPG6b0Vc2ND/V19rc1jM00t9WF0+ErWLKHzk4 gFSXLO49Odm7dfv2/s7SQGUq4VZplenQNlYq5aDBBE3QJwP2O4VJRhM4cumZ WkMypQoFj4wEZ4FxLL7QGrTaq2ae/+2//MNX19t8zMsaZ3BiXTdur7XnBj1W jV7FZwkVqvM8ABwCRtLVLr9fb41UNVfG3N5Qfl3P8FBfQ1N9RUFQz8P8Md1D sr1x/eDRg6Pjh4+OthcG60piJrVOSUnjdJOcjkZzHHk+KfSsKVAWjHy+5jCG kM+UCNhUIllo4HMdFQ0d64//4V/++/OFCh3uEu7BHH/H6t7OaFkoOxKxWzRC Fluk5LyPe6DZGqffoDVnxzxSKpkmMIZTZWWllfXt/T2VEZ3oj+gfUh0Nizfu P3jw+MnDOxvzoy0VOVa7UYTJQrBVJh4ajuOaQtnadwNFkc49NRQBh+QIZRK+ QG0X8gKDm/uv/69//cfnM4Way3AcUhpvGZ2Z7q/w6w3O7Gy3ScHnAAIgfY/6 YVSpQSUUaGw6BjwzH0qjxRNMVrR2NaQiXi3zj4YNcOqCvpXD08fPHh7tLM5N dtYUBvw6ChQrMlqkRBCcQOWpnGYpFX0ug7hMgUAWKB0QRNGlKoVcY9Br8paf /MX//bt/ej6ZkBMv0dowRcnk6kRrRWHQwKNx5Ha7RSuTyJRmu/Z9bSWEKuKT sEyFLIOZwXieyuDNDoWi8Yg/mR+3iSioP4A5QF7cShCmvXr89qPnz0/3F0ZH RrvqS2NuKQYlDQQtNGgWloxGEoGVkjDPav6z0AQsGoyiMKlpOUADStBg0Fnt Fbu//vf/+N2jmbgIe8kowaLU7N7N8ZqckFvHgIJQYr3NbLSYtDqbVfze8Sdy GUgQji+io+EIBAJNYgvtTptWodLqwkUV+T6j5L9eYQ4n0/AXirOQIm/t/PWD o72d8fbWno7GsphJgGcHyiMSQPOSqeB0uSeRgMMiMz8Px5GoNBZfLKCA02fk uVq3z+mM9d3/x//4x5P2CP+S47BQnDY1feP6Um9Nftht5qUjxQqn3eGzyzhi lfz9DiCwyeAsOJPPJAI/kUYcIAabTafzZCpnbk1tdVmOU8yhU/5LhTVYJoeC BH2KK+g8X9PI7NLizFBtZUt7U2lQI2Coi5qy01FJOu3tVSDkmQAi8FQKkUhn M4CRQJA0bTgRjdRsfPsv/+O42cyGXXIeniorm7yzN99ZV10addtkaWAksJkt bj0NjedI2e8WFZtJIBJZdCKRJTzrrwRFoIgcqdwQrmztH+koywnY9YLLBOz3 IzACS6YQkRdHiOHos8v7Zxc7y8pbmkrjLi1PXdwS48KyYHT+Bc2LxKIw6VUm cvkUOgnLDZRXNyy9+qff3m8249DwC4ODkJ31O/eP5xsryopKYgB8AFQpmKrS qkwqQFMgJbJPFBteKBPyVSYNEwVN60EwhkQi0sW2ZF1XX09TY3OlP+OP/WcI BIWjsJhLARWUokp0z871Vtd2tVfGHW5Hor3VA3h5GLHm0/QkDE/EZ5JgCIHe rOGQhDkDK3tf/fZv7/d5WDAY5FP+UUx769azJzcGygoKCwuznS5T2mugqjUS eSa0SmJ/ItAIrsbo8jh1AjqVQcIiEWmfE4SiKzypho7hofGBirDhYkjp9yMw BPKDyWZWztjGlf7amvbWuuJIXmn3VLMelg5VuaUffwWCJlFImXIAEN8eMPGo koKVZ//07//Pw04L5RKUguSHB24+PFjrKcuJxhMBg0JvlhGywAy9ls2gpdcR wfjkhGkWTe8LO+RMMl2kUitE7PPjx3CWNdU6NDq/MNScZ/pP8v9jRMldvLnZ W1la29jW3lDVNDTZoEdkoSR+n+CM7XeDhGMIxLOKIKrKLOdwDZVX/+J//tPT IScJekGzQvCi2PTpg8320lgkmu31a3k0gcHARaG4Fh0FmTlGh+CKPxEAtMTq TjekQ3BU3uygU54JsmSBiMp4Q1ff1MLkYLX3j8A/IntiY66joqyxc3i8v76u uaM2wMeI7GFLZv8j6ZT3gg0BoA8aAYGR+FI+XxPtO/77v384lM2Ggz41TwiW tXrxyTc3u0J2iz/sczi1AhpbY1HSSQKz9m2HKab001MjOLpSAKgGMInnTRQn zGw8BgZF4JmKQGl3/9Ts5Eh94I/Af5apc3a0paZ5aGoegEDFBaXVxT6NN+SV wNJYFzDKH24DEoNJp3FEEi5P4qhafvqbh1OA4btwRxTb37H/5puT+XqLUqp3 eTw+r1nClRp0YhpXo3y76jjuxVMzCDQWhycxODp3xK9h4rEYJI4l0XrzuwZn F2amOxN/DP6VjbMzLQ1dUwuLo/UF8WCspLo0kQhoKCgCRyjlEj5aWxRbKlGa DBIKVxvtvXFyfzBPfDF/QTTmj9/86psHV3qqAIdZpHe6XZGAjkkVqRRsjvxd 9ygc49JaYTSNJxCw+RIJj0bAICBorsYWLukdW16eHm8J/eG5z8qS1i2utTV2 jk3PDlYHA75AblVtVcLOQZMUNjv7UxeULFMaXFoqju8oXzg+uhJWXcD8MIqp cf3p86f3tkYbiiojGrHGapQHA1oijCJRCjgyFQMOhWSBYHgW88OpS08zFA1A FDCBw+dlDqMwqMDkw7lGX0H95PL2ynBbruJH2AAjMHgiGbCdKAQEDMUS8Rgs Fo1FXbTLn5K8ZefOQlM03jA80JJwap1lXS0lMSOdILbqLqnQoUp0JoNKpva1 XT2aqxZfyF/DGa6uvTff3d+c66tOFVfkRUJeLQsnMRj5WLxAR6EI9TIcGI7G 0KRK1qc2Cc0gwsAQOIWVvisCcDIZSAJLZks29q9M9zak3OIfcQYhaKpQYzbK eRweXyjVW502q91h18u51J8CDdLm3aPFMoXA19DbUxG1+6t6ewAkqFMZdaxL jjMQVU6Pw+zOaZhcmy41fRLlh0BQ3OzBgxcv9jemeqtj2dGi0sqKuIaKIor1 Kh6AnVEYtiadE4Vi+Sar4CP+QSgSnUlGIQAvIQP0ICyNSa/VWwMF9b0j3bU5 duWPdt6EEYS2RFl9SSIaTRTXtHb3dvcMDA02FXr0op9IL7ArVm8vF7Gx6pLu ga7K3FTr6PhwR8rvsQsvwwxESxww6OUDG7uTJWrcx5gKhKWqCmae/Pqro7mx nvqEzeT05tY1JGSoLCjX6tJxCcgsKEOdySEheSbzx9KF5WukNAzsnbqBSv25 BYl4oqSxs7M14RReFlt4T1C8wF7YNrw8MzYyMr6wefXGjavXbu3dWmzLcRmF l0QkPyBMZHh9vsooseTXNvS2NfdMzE6N9eTZbIZLE3MsdyKeX921emejzkT+ RD4QXEfN9qvvX++v9nc2lGQbNAatI1ESAzQ+iOeNWtPJIzBHK85MGkEg+HBd YHiuJaD90CAw3cV1TRWlpbWtjUUhBfPHT9Ygqapww+TWrf3bt/f3949OTk7u 7QFTsDlYalerFTzajwYTrW2LU92lEZ/P562o71+8MtPfUWkXymSX1KbACDKH wxKum1zf6HBQ4J9Ivzjas/3mr74+WBysLc+PuIx6o1FjDMQ9IhxKGs61p71Y iEB/Fh+HUmgfbEw4kaMJF9jPImxQMpFGoGpzalra25sbW5qKbMKfCIaCyfJY 1/rdJ88fnT569gz46/joxur0aHdzWM+iMPkA4r6YjXxP2qbllfnBCpeUxzPF utc3hmtLgwqmQHhJ4we21GSSij3Va0vdQTYM/CH/UIKiePLg4avn9zb6q6PZ bqvZ6vK55Fx1dsjI5Ztycq2UzB3UZ7AHQuOR3s4bAkniqP0l1XGDhE2nkEUG nYDG0OVUNrV3tTfVFjou00MfEhzHt9etPHj58tnj48Ojo70b17fWZvqayhN+ CROPwZG5covuRyrPpTXLu9vT5WoMCILXN66tdRcl/XqJkPkpqofgqDqH1yxV JzoWukI8BPhD04LiOqrn95+cAJqvPd+l1ijFYrUr4pNROHqbiivWekPmzH7C ilRniIkqessWikjhK5y5FeVJv0Uh4vO1diMVSzXkFJeWV5anIib2T0Q/wFia Ntp388WbZw8OdlcWF2bGxyZGu+uK424dm0ElYTEUvssp/2ElwC2d390cz8+o I2Hlykp7YTIZMH1i2qBILIklcIajTkOgaaYjwf/kJgxH3dLe0b07GwPlATWH ymSScAydP6CiM8RyQbq7oNXCy/DL0mkyIXYsl3W+AfBMnlzryS2IehwKDg0w kXIelSTwFxeGvNGI38j7iQoRMJzEM+b033756vja+lBHb3MylJ+qba4pjHpM bLZAzMTT5IG8sAR3saf7GRGjfWs7MzmZUixCfHS2syyVTDiYCDTu3Q6FZoEI bJ5Qaotla73dc0MxySdrgrO07N7bHu1bXB8qtPDwGCKNDMvCCo1WnUCkkZJR WTipkpthhKK0iNL/gmgKduarNLlGZba4I1Gn6myfw+gKqdKWKEr4HAGX8hKb D8UzmGfR6IwEwshCc6LvxtOnhzsjDeXVhTaVPpCqry/N8Zh5AqVRI1U7a1oq 7PwfPKWvr+hdXOswpG+GsjRN9FenAh6jRKSQZ1xAEACn4BAYUWhwuKPAGhUN D1crSR/dAEpxtF65uTVQXt41NVLjFZMRuPSpACjJ5HVp9S4TFwHgOAkvs/GJ EsOZZ0lVStLzi5TYPU6Twex0aHhn+g8ltFgUUlMoEY/YLztYjpO78vKCCsQ7 /gHhyuncuPdgf7e/trg01yKRWBON7fVFUZ9C44gmk0V1o1M9uUbBD+VTiM66 iWsbjbr0cEjhzu7SbKfTHYwFzenEPJ6bPgTN4EjdpQ11bWW5FQMjJfqPtSmU ZW/evbMxWB7y5raODRSb+BginZ5Wn0Kr22AK+tSAqSOwuJlJw/I0Z3uHpM5M BNUQigQseq1OLTzrvYvgmwMWPpHryElE9JecwMfrCtvm5kaKpW/VD5Ip1/sr hteuXdud6qytKQ077I7cpq7milR+JJworW3uHplfHiu3838wmcIrG9zd3+6y pidIWVId0jhDZS11EQWDTuOplGwinquxZ1eOz4/0NrdPL55N1Dvmgb3vbF++ vdZTkePTGuPdk63ZSjqDyUi3lMeqbCqVN+zio0Hw86OCKLZalJk+vMpto+Dx XHM2YCw0UjGfQUpHmokqTzAoZ1HE7pjPyL+I3hGa0rG1G/u3p+Nn+AQEwzDE Un12WdfU6tb6ZHdrQ0VRUbykqb2xqrK2va68sql7ZOrK2mS5kXThXm8J7mrd ufdor1EO/D/D7tXy9KG6zkqPXOiwWdTAz6B51lhRx9LKSHXr9OZo8KMbQdDs YNfNm+v9lbkhj1qkKxrojOu4dCKRxiChiWq7SmIO+E1cHODJZhYTwdIoMhsB JfdlS3hssdnrc5nlbCoBBYWCYUR5oCAvYtAZXOFs3WWNdvmFU9cPdg4eH/WZ MvIMgSMJTIHcHCxum1i6uj4/OTI4MNja3tPf3dbRN95V19A7s7q+Nt8VuxTO nhO1YPPRmxdrNUYunsJlk/F0dXYs25Mdz/WpALUIYplzKuu7Z+dHWic2Zos+ Vv14Zc7w7b3VgeaqVDxsV0i91Q0JM5cIgVKlMh5HY9HKNSazXcVjcJSiTAs1 mlpNS38RJnAFNEqF1ub1AdqGlumvBsextMGikoJEbjLqM/EvaatB8LQvrS2P bzx8uZmXOYoJWGEolsGV6jy5dZ2T88vLS8CfuemZ+dnx8em5obbOiSvrK4N1 wcvy8u9J23Hrxavj3YEKv16Q3rhoOk8Xr+/MszCxWLY1v2t4tLtzaHJyaWsu 9VHRPpTlbpi7fjjfUVlbUxCN+4xSlScn25RujUPTmZQsrtTosOlVGrVWawm5 uGn9hpepWZmBs0xOm83hdNqtZjkLlykphRE4cms4kVNYGLPJWJdE/BHqot7B 5pL64b0XNyt4b9+FoHAUtsQYSBY3DU/PLS7OXVlcWltbmJndmOnrHZseait2 /gSGQjtH7j5++Ohks6/Mfp6clxf39id1DL67amzjYH9jqLltaHp7vUn00XC4 ga5rpwdrQ1UFFSV+m89hFDEEeqNCCywN3WRTk7BMe17CqePJrd5Yeb4uXVGD FKrOEA1NYwqEIkGnTiaivLXxaDoXcF6tQUADXszXAKQqbW3IC4Ri9ct7y0WC d0YY8JpRBIZQYfUC+q6tb2Ryerittbe/o7ulMpWM+l3Cn6yzpiUmrt9/8uL5 3YVaFwsKQbJsedXtg6X5BU1T2wcPHh5fGemtrZ9db9R+aERoyvzZg3vXZvtq U7m5QaPOnm2io4kUhlTLgmRBmFqnkEWXhctz7RqWzGwtbEyK0+coaTpJWhYh ZF0iVVwQBhxb7PvmelgKg0mnysTsS8UV72+oLwy4Q/Hyvpme4EcdKMFwDJFC ZEl1Nm80WVpWEAomc6MBp0ElE3EYxJ/OoyuLh9b3T1++PtnoKXB7ggW1za3d o1OLm9f3Du8e71zbnBvu6JnriX74mwxL8+z+0UZvyh+P54RNIqkpYuegEHAs V5SWIbjAFHBqZDpvJGxhM/niUGWOJP01oirTShbJNOcVF+f5tLyPHikCQyLh UCTicsyrLO+uCPsjqaq6tvYyy8fYAAwDnGdIevp5YqVKwmaLxDw2FY9G/cC9 PiGoLNa5tPf42+9eHl4Za+/q7WqsburbODi5s7WyMDMxt7Y2Nzs3HvxQ+lmh lvXbR7sjZR6NxRc0s/F0qd3ASodNObwM1mKY66tiSirLHPfxcGi8ITciT+sO tEKZPm5LFLmLK8vz7EL875/X8jT3lCaK6zv6BgZacj6B9DAkLJ03g8NgSAwW hwRDUCg4Bg4GgX/Pc3ZQQazjyv6zN6+f3Lu9vDgz1NExNHfj3uGVycmxvq6m 7rHZrfly1vuphEtyelcWluaGWiqS2TaPXYSF46hSadrRBLNk0vTpPpa9tr5I j4XxnAEpGY0We/zKtBzCZAY+DoplygNVzXX5ps9ppJxoaSmu6B4a6hmf6gjz P15XSFqDgs7m8u2Mfl7GUBTqWz54/PTxg8PtjZWF+aUra+vrs30Ds7PDddFg 6eBap+r9tSRL5fDsbE9HfXl5dWVJImTi4HEAmBGySFgogqE2meVUPFNm9QeN VDhJYlcDsig2WDOIN0tgljGINK4iWNfbkqf9nAqP6tbqVNNQb1Pt0PxAUvwH L5FiJlpW7xzfu3NjY2NjcxswHrWVqYLawbGBmrAj2TuReI/7yN72lfWRurLS wtyCsqrK8hyLhAOgRTqbyZWJuBKx3ht0yKhoOFms4JFJTKVab7HoVGpBxqJT 9QommSnSxZoGm6KSH49OfUx9XRXFrT1VifyO2dESzQ85hqDMs3z+M9lirqt2 ZG5pcW5xaWF6vLvYq5QKpeZYZUtrfXn9YL3s3XU8f9f69eXWZLQw7SvmFeSH HAYJiy3hcxhiu00pp3K1/qiDDQwDQWfTaUy2WBdI+pQiYVo9ZGFUShoAdHyl Xb1VTsbn1DZM9VeWtrbkusL1Y0Oluh9afygaBYchkPDLs54g0I/MDM2WKG9o 72ptrkz6dLSz91DqWNfE2Mhg5J0Rocfa1m5ujtflhstba+Iel9cLoBgZhaW1 qHgyl01Aw2Lp+nAwc+gRSabS2SS2IlgWV3Fl0rRhQCg0FCTbkd803FGs/6zW aTODjeXl5bneeElLR7H6Y/5RKBSFxWdh0UypXCaTinhsNkfAZTJoRBQEAoLA oRAsk0xlsuhEFOyHZwBOFWqcwaBTzXkfnoRQ440Lm72Wt6/1JWMDQ/Mro7V5 iVRpYdhh0pvkMpNZTCXJ9CarTUbCAZOPV4U8Zy3TwQgskSFzxqMmHluU7qjH NPu4NEOirruvLsj/rE080VNfUVqUG0uV1dXGJR+uLgjJ4Emtbr9Lbwzkp8rK y0uLi4pLK8uK8mIBp9VkNNssJkcwkczNjXqMSsZlxRBvCYohUvEfAwZVcmSp RX0+Q5aGyYm26uaBvoYSn9sTCDgtFgmTpTFJKXiWTGvzGZgEGBJFVAPeA++c OxxTYfP7AJ3IFzMJTGt+UiN1F9S2tKRslzi4P0IDrTUVRbkFlY11VSkn4/37 cAJdbPXGq9s7mqsbhxdXNra2t7c2t7Zv3by6sTg9PjY2Oj4xOjw2u762trY0 3lkf9+ol3E/D1z9G8vLOvAxqz4JZezZ3h6ri+U3dTeUutczscVidah5Pa1Vy GGyFKViUY5RwhQKRtaA8pTjXmFCmwRcK+51sqU6vc5d0l7ks0eKqmoqE9nO0 X1ZWR21FeWFOee9gd31C9RaJwvEUoc5TUN/QMrKyMj+zfOvkydMXX3318unD 02cvXjw9fXD6+OmTRyfH9x48evr48ZOnJ3euLY+1lifsAtzvXV4JVrkVZ89G kdbsHu70VBeUdw20loW0UqPTbPYGTUqtVirV2rJjxS11MYfdbjZ68wvj4rdS RrcnSmuqit2+YCSWap2oCPpzi0rLi/J0n1fSUp6XEw+FKkenhxtD7PP3cDyN Jbu4fXZ9ZmT+6tXdnZv3X3797a//6q++e/Xw+PTJ8xcvXn/z/a+///rFk6cv X7949uzF669ev3h5cmtjtrPA/VOxxQ/ofLZ58en793fG+nsGp6Z665J2rcWi 1nnDVoWIRVcGK+ury2uK3FqFXKZyJXJ8qrfsUc05tf1DPS21lZWV1W2DFYlk UWFBcSpP+3kFrl6rXqu1F/VO9ZaaziUHxTXFSlqGV/cPloZntq/d3j988PzN L7//9XevT/ZvHB0/fPoSePVXv/n21bMXr14+Aujxs5evf/n66aNjwG8JKT6z pAjj7r358GhrY311eXl+uC3HbTKqRXKzWSXlU4iKaH17bSKgp6PAEADdJ4vy kurzCaYqnYWdw309jTX1DVUV1an88prCZKooKvvxn/uUbHqZUOGtHhiscp3v fiRbH28aubJ17eZmT13Xys6de/eOH7/+6qvXT49vX90+OLz/+NXX33zzl7/5 1ZtXr18+Pj55eHIMSMWzx6cPju/sXukqVH3e+UN20cbjR/u7165tX1mc7qlL 61IRmyuSSNU6IZmtDxQVuFWZ8HYWShoEXNECw1nuiSrT+4srU2FvdqoiP+D2 xmqaihKFJSHRj//cpxTymdS24sGljoTobGehObpQ3fTVu3d2V4eKomWzGwcP ju+evvzq1dMHd25cu7a3f/To9TfffP3Nd99+9fLl47sHxw9Pjg7unhwf7d28 ur22stob/ryaKk7Fra9fHB9tbq0vzY025EZ9BgD3Ucl8qcWrIyNwXEe2RUY9 GxrFkKxqq4moWWkLT1UbHdk+I4Us8uUGNEKlu6qlOJEqi0g/j/+W8vzcyon1 +SrFWXIKQlX5yoa3Dx4fX5tvsKqyexb3H9w9evjVm8f3Hxzv37x599q1k1cv X3377MWT+3fv39vf3rp6+8bWxs7VtdnR3vb2nunZLu9nHUGnp6795d88vT49 OTs10N2QCFslVCQYSZapTCZeetkpEplIwKGmHXooiSMyW02qTL88pjMZtUi5 6R5R2VGLQBSsbMyN1NbG2D/5ix/RSE972+DGtYXk2UG8LCjDlNe5eufB6cFy R9JoLxuY3b595+jhixd3r1+/BaiC2zs7e0cHh8eHd4/uHNw7urW7vb2zsbS0 NtVXn4qEcismVxcbrJ9zAJOUu/XdXz7cHhkcGepsrYroBOkoDYomk8jkmXIG FIXKFEjEHCYx/QpM5EmEfD4dTZBFK1OWzFlyvCGeyLamGpvzYg0Nic/sgTLU 09U9fu32ou8cNcLZzqrJG/fu7V2fKA/Ywg3t3YNTK9eOTk+vLy1t3Tq8d21j aX5xdXP7xq1bt+8c7l3d2txYX55bWB3rqgjqZMZAw9TOcov3MzAII7X9y1+d 7syOjfTWFYc0zPTzkSBYGp/NVyqYaDiBRMBgiHSWQC7PRJxgHJVEpFTw2Op4 XbE2U9cAVRY0NBS09XakCjo78ng/8Xuf8t/d2tS3eXXK+bYWn+uqnr6+d31z c7QyF7CshQUFJU3j24cHW3Pzm7f297YWB9v75jY2b9y4eev2je3VuYXlleWF BQAS9ZR7ZCKlp3JyfaHR8HsbAaKt+/DbXz3dvzY/0BC3iTBQQNETqAwWhakM xFwamUYly5R1IlhKIToLhBd7IlaVwaiUa4Ol8XTcGELgOUqbGhpGxgdq6iZG Ppf/taWZsdnrW72mt91oePbyiau3r+9sDNZUlkQD2X6PJ1q/sH91fXntxv61 tdnB5ob+5a31TcChXZ0bH+nqH5uZmx7ubusZ6imxCVlia17L6GCx6ffr2ojm BNuuv/7Vt0+PtvqK3FI2FQXBMMQqtUxAE3nKKiN6qVRtNma2NEqskQslal9+ vl2uUMsMBk8yCPjrBKk7kiwAdv7I9FTf8MZ88jP3/9Vbh4fHT642nR8ah+C5 1uKxG8fHh2stBSWlOaF4LNvlLRq5urK6cXV/f3O6q7G6eWRhcXZqcmK4s66q Nn2sZLi3KuaJVbTURjR8nkBqTXV2VF0s47qESJbcsTT7z/dWW4JSKpYmlihM bq/DKOeLVL5UroECy0KI7XoKCNDLapfPbbOYnWYhhcpgCKTmaH7UprEGC4ri DrUk1ja5srC2txRn/PTPfkgbe09efvV6vfB8x0LRLFPB4PWHz+4vpFyhZF5x bVUq4k80T0wsbFzb21ufaKooa+js7B4YGextKgz4o8Vlta29bQk9T6gP5kbt GplEKPM3DA6V239SB8Al8a6Foxfff/tif7zSxsGTGHKbIzsWcailIoFUJDfp MrxQvXGbTCLV2P1+h1ZCJ2HSRS8wBE0Trm6pznVbLQ4DB4fWlIwAluhoLkL7 PP63D1+8evFw3Pk2MwCn6RLd2w+eHo2FtfZQQWNfR01uMFLcMDi9un3j5sZ0 a0VxeVmqsnNipLc2pNc5ikurWvo6cpRkDF5ocdsBr9BqizVPzC00ODk/Gi9B CgLNK8evXv3yl69ONmotXBxZZnL7HRa7gUemi5R8EoZ61kKPk2wsi2RbbXa7 ScbAvkW3IKomVN1ZG5ORsfR02R8zNnB1/+7dyfBnHv4HrPvLb+/1vIt8IImy SNPE5t7OYJ7bV9gyONHfXJaIFtT0LawtrV1f7U3FY4UlRRUtvd0tRS6lVBWt bGmsr4pqmXSOVAlgdLPVnWwcX7u6stgb++EiGwTHkWxdOHz97S9fvnz9+v58 sUUic+UnPGoGjkLFoKhitZiLI8jUdDiFay7u6a0Ia0RsFuPDOANWX9zRFBSh 09YifbgkNLR/7+juwmeir6y7Lx6//uX9QSP6/Hk8UDTHluqc21ntL83Jr+0d Hx/ubS7LT1UNLawvL8z1V2f7gnlFBXkFxdUNZV4pk25OVhaGfDaVUChVK/g8 sc9pD5T2Lmxsbc235RhYZy4FlMAWyeUCJo2EQUOgeKYMgFhLe49/8atvvwL8 p6fHax2F0WCywKdiodJPC8NLXeGIT6ty+zQChcoUrqpPmiloKAKHQ6NQcCQ6 Pa0QTqBpsMWfflACCLhpFi08vHe4fzAXY30e/wdvXr/55tG0+626AkHwYldx 7wLg0ze2dPX193S1N5YVFNfOXNndmh9sLI1HY8n8RLYzUFhb4uCgYVx3nk/K 4fEpdIFcxOKp3Vo+Tx+rbptZXl+d6ij0qUQcgdIeKymrqa8uLUyEXXZPTmnz ZNqnBCD0m+eA//zo3vZoczIY8quYeCgIAieIXYnCmoqY2+/RKUwWkzWU5xWn 1x2ERGMwBBqDCAdDBY6q0dnOAAcFB4PRFBJKVDB1eO/oeLWA+2PcXqStV7/4 5rtXG8n3WRgYReavHVlanB3rb68uLC0tLcovrO9f2bp5Y6mvuamjsaKoMBmw REpr83RkGIhiiTtYSCQmC4xjUHAsnYYJygLT5Pq8urGNdIqnuaa0rL57fH52 aW39yvL87ODI7MbVa3v37hyfnj569vzJ6enpyZ3VnmqnVqPmUfCwLDRX78n2 OWL5YYOEQSDLrC6Tyak/t2oQGARFIOKwJKYjp3FotMnHZ7EIUBRHyNaUTh8c P3h6rVryefzPP/vuL37zy71aZQaxpB/SDMGy9HltMysby6ONMbMnO6egqLp/ aXP39o3Fvs7+iX7A405F3Kn6pqSKhIDRLQm/6Aw7wUEAOjsrcgIjmIZU39zK 2tbK8vLy2vZVwIs+Oj6+d/zg4N6jF89P7x49Oj28tffg6fPjg5s7y4OVcbde b9FIOASCwB4Lm7h4lt6UbuUFkgRTIZNWysCc849EoxEIHINvcASThXEjhytk YQhCuVCd17N568FXB52az+N/6tH3f/u33z8Y9L4TACiayHcW9i3duLHaV2jT u3Ir61pGVq7vHd5cGhoYBfztuupcv7uovjGhZZOBzZKf+KDxIob+NvyEUwYL K9uGZteuAf7D0Z3Tk1NA0p++egnQ88enJycH26s7d58829uYBMQsx53tDhfm ht06wKDHnOmsNkfJAfY5zlPeXu7VSrhsAhyBJZBpQgGbRudwWSQiiaU0qXki hZzLkcr4Un/56MaD7x+PfOaJlsGD17/562+fXinVELCZIH8WHIXEi23lw1f3 r88354TSPQ07Rpav3jm6vjg6ONhQEM+PmZSGRGmxTykWi0zh0rKIjpGWADAw Xsj7CCCcyhXr3cVtU1d27xw/ePLo8fPnT56/+cWbl8+ePn/+fH9ncW4TcKOu jDVXluW5VCZ7Xn1VcX406Pd5DelnxPB0cjaJrkgUl8btKiGHz6BQ6Qy2QKfT 6i2mzJOjoSKX32GzG8RsNpvB0nprp49/83ra/nlNMNu3Tr799dcvb/UGZYKz dspwJARCFvvql65fXe5MtfYMj/T1TG4sX721MTXU096c43LraGRJJBnWCmQG izevpjblUwsA3jEX804wvMxX2TW5dXjy+OGTV6+ev/zFt7/8+nU6Xvbg9vqV 64d7WxOdlSXFcT1LoE3WluTkRHOznY50gR5eaTWoZSqHH4BUIi6dTAMWnEig sKRKgyviF2YqywxFNWWJbAMbkz6MxpLFevZ+/XLO8XknO+M9+1//6tuXJysD 5RGbJO1OwrFIQNNKYsM7O9Od9ZMr6wuzS0szkzOLy9N9nT0tlTk2AYWjTqWy VQqn3xataqvNDzs0wLbH0t6F3t6vAZis8ha0zF67fvvo5OGjx0/fPDu5f/Lg aO/a1vzQwPjURGOuL1yQY5XI7PG4FeA3Ly9st5hlFJlOJ6CzeFwOAZwFPmMJ BIOAwCgsyxiw0YCXOFVhQ1VpxCvKPGAbjORFhm8/fb0c/7xTnYq82eOvfvHi 9M7uwkBNUEaBw+CZQD7D3nLl5s7C2O7e3u7G5ur0xMzC4vzkcF97fXHIIFFa 8vJDZmsw25JdXFMU9jrTpajYt714wegPSxrQdEWgum98fnVt8+r1a4Bjtb62 PDM60lMR8kRLqkM6nhRAsHKxLeziYLn20pKk35vt1olFLBz00rwSiKpI4wSm xBQO2c16zflzUuC8cM/G3ceryc/r/YMzt+4+fvX80aP7exujNQEdh3oGMeHC 3In9+3d2Tx6dHt3Z25qbmZ+bnlsYbSsrryjLDWZHigojDofPrtQH8+Mep8tF Ty/B+T3xtI/XACt2J+t6RoYn17ZWZyZHB7oaK1JFcTMLz9T7DEwImMCgkzka l1VAlbgLi/LCwWjYI6H9YK8GNFssZHMVSqmIhsax+Oe1Y1BeoGHy6v3tss9z gGCq6pXD00cPHx6sTw60V+a6NMyzHybYO2+/fHb85MnDBycPbq2trs6OjM/0 lLjCRXVNDTVVDeVhg0yhEEvskaDdYnenf/VtV/+PCtHTc8lQO/Ibe/qmb+xv z41315ckw9keixjADHSl/Hz4KKrc7rQYTRaXx+X2uq3CS8UYisOT6FyRWMDl 8DLNLEB0wTnghzCtBe1X7h92qD4rTQtVVs7t3Dg8fbo/19s73N9WGlERzs4m K2uuff3dm2ePTx48enx0bWdzdmBorC3P6Y0UVLd2drWVe0Q0jtruCkVdGrnW wnvHPwJP+GTsIJLMEixt7lm6e293qqci5vP4Al6zAJk+svmu1TOYaXQZBDQi jSNUmhxOMT4LijzfTxAkjoiBQyBwLFNmtRgUfBoBhz6bYihXlgH8KDAYJ3IU T909nQp8Vv4TrmuYW5hdP3h8sDo2vjA/2l0TEGKgEAhw55z5Z7/5m6+fn548 fHhv7+rGzODQSGdlYdiidRQ0d9ckTAKOMljeUJW0CDlSg/RtfyoQkXQh+EPT erw55Z0rd67NVMZNUpnB5Y/ZRTgQCMuWcAnQjH5DcFTys35xSJbWE7Io+AIx n06EIjAkOovNYTOoNBpbbgm61IwP3CoQT8FMqxgRFQEhiH2dVx+sVXxW/zuE pX2qo7R2cGV1bnhkdn5qeqjayUs/riELpand/eqvv3/98P7947uHO6tTw0ND fV1VQQGaYimszfdoNbZweXtPY55dJlKZLSLSWXsjBJX4aRaQoHQGnO5o3eRi b4lRgEPRFFaXQ8Vl80RKo8cqpxNJBDSWyFVIz0IGIJrcaDWa9OkGclQCkcJg MSl4CoVKo1DYEo3ko7gClKvgIAlyZ0RPgyAYxqq5g+sD3h8uS71IMEtbf55a m13V1tnU1D8xeWWpL1fLzOhAkn/o6JtfvT69e3h4dG9rcWJksLd/OGXDZ4HE wYKYTefKLattbqzI9VsNFleOzyTLjAxNwb+3ftCMLhE6/W6T1lrQ0Z7Qpj1C stxkoRPIErs/GI4HzSKuSCalAP6/WZ65HMHkc+h0gZjDoOPBUCgCS8ycioKm q65gxPPHQ5wDLQpXJSSLA6VNITESQdOkhm/tL6aEn5ECI7hrCtVkIl3lz43F K9q7p2YXhwuMnLQIQ3k5U/cevzw9uHv/wZPr8xOTU/PTPWE5IOiC7IRfp7BF 49neYLZLrza5A6mcWMScnoB3T3VPP8qEzUoX39vyYiYxR+QtK7GzAclCCMzq NNqm+0pKcqNBi0yilKUr+VF8ixKexkxUMhYBJ1AJF8MHIBSeku5qhWcqAP3P pnKVVpVY7ciO5jhNfDTeWDt563Cn9XMeHkezJZx0UDqurjJ6cqvq+sevLLXl aDJQjmBqvHL0/MXjx6f3Tu9srm0COGAsZWUhMZq8sohNo9WImAyxEoCpTJUj 6nfatBwsHPauNg5M4EokQhyRrggXRzQMEt2Qm2/AwyGAa2QXp70EhDIYC5oM WqVCcubeELUWEYXBYQMmGIygi3iEd0VXCAQYBMcR8QSqVCGmYqgKWyyZG/N7 AV9Br7X73XqFxaIWqeIdU9cPb/b7PiMGJLa5pWfighE5okVVneNX76x1R4WZ Hs20QMv2wzdfvXp0DNjHw3v7t68udpcGjNpQVW3EbVQw4YBB4giB7UaRm9Ui ocqo+uD5flAii8tmYIksbazQzYMAiCJcaMKAYHRzyHEWpGHZAh6pTGuznp/b hitDYavDpmJiUFiRPRk3vzXlVJlWIlWoJCwymS8R0Ykcva+kqrIwN1VSZFfK zE4lCSI1eQK5TcOTV65fH/2cGAiA4aTnKyZ0BHKr+2b2Hh9vNDn+f8q+s72J c2vXP0i911EZTdNoqnrvXbIt23LvxhVMr4ZQQ0tICASSkEJIAULoHUIJJCTZ yU7yZtd3X+fDuc6MJIMBO+wznyi2NM/Meta613rudS9LbRgVUdj2MZez3Lh0 48bFy1e+Ov3Ze8cPbl+zbHyiPxNykRa5VG0meUEviZmEdOZwd1toAS1WIlfI ZSKJ1pEqeIz8fMzmoaRebPB1VOscBSVdrpY5L9rS7K0LUymdlb5iMUXrZVqo PL1752iwXkVXBTrHBvurObdVKZHrAa3aTAda2vLBYKFSCsIA4YZETVpfdWR6 065dOw+8ubXj/6MG0j42EmuEayISKQxv3fvx+Yun9w16zPw/aeyd2z+/8+TR nW9uXb567fyFS2c5b/jhvg3DGQa2InYUI90Bl0nQpIUpxIiWV4wknlegF8mU MoWJdvF6+Aq6YzSPWDwdI8Varq0mCiOjXfl0sbs7zWKAXK4D6HQ5l3TVph10 rHlz/2SoXljQx4dWrlo+VHCBerXBYjUCiDMQDdh1Fn864dbLYJbbwALf0PTU 2h2vb9y4aW039d9DoJltWzvqZqZ0RYPZgc07j5766tJHm/P1Rgmpo2vv10/+ 8u2DO5evXL9y896ta1+f+eSNTYMxq0qJhjL5UjLhQ02QK+JjCW/7eIf7+cNv qQHUy+XaWs1aHx6crMaCHStGvfx/CeF030h3ubnY3NnbUUhRFjNksTGefLRG wpRGu5ZPlvH6OqSORLmnpy3OOnDc5SRRhzeecqJKEeDP5RwyIeI08nFsdKR3 8rU3Nq+YWjkW++8d4K4jb0/UeCgiMJLPtAzP7XrnozPXz+7vbhzjS1z9ey8+ evTdg+vXb16/c//GpY8O7dq0YabqRW2ubLmYD8aT4UAwGnVxaXkm47Y8/+ky C2KUCQRSpUalcbRMjHUUS5MbemvmqQ109aRoO+v2RfKVlrybQ7R6lcWe9dff hon0e9CaOIhIorLgdDKfDzOEA6dIB+VLpmKwukmGpyptDgkHgbjk05Tqa8n0 zh3aOT28au3/hwM4/MkHa2NGQZNEiSZaWqoju/Yf//TcrQuHRiPGejnEFBg6 cu3RX57cuXX7+s0bX597a/3E+Lq5VYPFcCwZcNgQX6GlEHNiGBsMezCDXMA5 TqFmnn4utcDcx4hUIOF1p0emqolIZfn6WpuNEi2MtPJntTKNiYwlAh4MRVVC gz1INOKnSCEViiQSHUxROE6QsXwxQsEmHedPmUQ+zgve6Pwt3b1etQRjjRIV nmuPeSubDu2bGliztf/FXsKlr5PnTr49GSCsuJUq97YUOzYc/OTclesXTm3v peuuXGKNrjx1/7vvvv3m1o1rF05/cnz36nWvH35r90QhSAJqnT2Q8NrU4iYJ lfSZpIImpVwBkA1WKl+ahi0akUCJBVqqy1aPxlFrZGRdu6VJavan2qtJqGbf QoURxlHaadeJxYqFLDqBwgiSBMEGkvlStbOz2W/mp+aZGRdmVDdJ9WZ7IFcm ISIWAnVgLueyEsVVbx3YvHx23aj7v17/+1+d+fzQTFfMBdOVodZMcXDuxIU7 D25ffH9tqs46EWjJjj1f3Xn46NsH9+9e+/rkpyfeOfLBsYOrexOMWSbVYA64 /pyQYK0NXabQQS4/NZ8BKiHQbNAAdLJ7YuOGbqfJmJyZq4IKyF8qtHTkCLVY I6+15kv1mNP+Yt4g1FpRwGgwY85gtFyptqVInQgFzaZaH4dMr9WA7lg4XOgq upzpvjLSJPOMHXj39fVr109E/2sKxv4vLt25+dmBYT/KVIfzvmB25si5248e P7jyVj9Tvx+J3jV46OtbD3/44cnjb66euXT1/OfHtk20pHw4r8+um79pC9s4 7xKpbSQBw7W9KzHCGEkisDs/tun1tXnYCFa37etBTO5s3ufJlqMM7aMaVSOz E3+JPShT1+1IoQMIX7ajqznqjDENhQQNP1EWoHMdk8urkeL0uh6Ii2CD+957 Y27duqm8/b9cvmj9Jzd++v37c3OFYGpkJIriwZFDX165/+THb06uTTcMQGqM rvng8oOff/7pyYObF6/fvPDhjoGEi2Eonoby9J2ZyWe+TwPZOTdt1akBjHNW SZ8r3j47NzfgMmOB2bfeHqQQV5DVqpz5ZDCcjDrNtd9R4kt2U9YuNZ3vG+4q ueqSVQITxIsdiSzh9pmJNJNbuW2UFsjonu0Hd29avXZ5m+e/UrqUGKGVnz78 23/++eSjLStmNwy7dAbX0OGvbz74/snD8weHAw2lHinSse3cg99+/fH7+zeu XL3w6RurqwkchnECNijm1TnFALKg/Km3ESRNwoAZdqfbyqls9+T6Vf1BwOht n3tr/2CApe1cqmD1szCEM2xD+1X3Cl0Nq7/c1ZYD69DJ6qWtvB0oycJIlTb5 hzaPh416R3HFxnUrlq/fMJR8dRWMnzvkDW88++Sf//nP/z68dOrI9m5coWBH P7j9+Mn33z66xblAX2NJClfnsas///Lk8b1rd66dOb5zRV+rBzMCKIlZ62o2 Eq1YvTBdkSjNFtCqk0lVRKo5GW1fvmFdt1vbpAoNb35tTTXqcZj5h4RbpMIm tQ2ZH/Txp5VrkdWZ7qg2M3xzhwL1h0m+A0mqCXRMdrmgQPe6qQJusgb6p0Z7 +tfsWFl5VQqgsDhj2WJr9fXzD3/+5df//e1/Hn66uc2NwtEVJ+8+/v4x5+su HtvQTjXgjJaZeucmhwIe3rx/89yJg3NrZnuyDEq6aKwGHVQ6Y9NzTTEKrVlX K8s2IYkc6+zZ9NpYkHvLYv+ydTM9HHYx8m/RVNfsVCHEizPhF7u0mDPROTRQ 8EMapcERsOvFEi1IuNqnNizL+NJdI6NtXquOaBloDseGX1vf85Izfe5SY9FS 71B//9jyt85dv3vnm19//r8/f7a+ms+k2zaevHr73sP7N25d/mTveMTc+AVD dNWpWw+efPfNrVoMPPruztlqOhHz8V3rQsCser7oLgUdWEPCjCgUCHpo9546 JPGMrxstuGsyPUID2tBrs3noV3OWFSDJBJv7+jvSrE2vNfOkdynsy7UPr9k8 VY5nK9n2StgmtySqUQgur1/b4/kT+oXIEu2eXr1uZmhwxdadH3/94aEPbzz5 2733NkxOjPatmHv/Jhfr712/f+/8h7s6nirKANGVJ259z0WAe3eunDvz5ZeH d4+nfLF0HJYLdMiLY6dMdqejIcjq7uv2ZVatH6RrDSTMwMyyVk8t25UhNFzf MTo7r4H8qvVrLRjFsiwdjHpZGqqNSva1tCTzPct6Ei5/Mpktphgbk22hxQJH ZXgg57EsxUO1hVvG1u89sKU7muhdteL1t3dseuPcvYdXjm9Zvnzl7OzW45fv fXPnm9uPvr1+5vCyoK7xAIS2woYPbzz+4fG3dzkL+ODQllXdQYcr25F1Yw4H 8PzOlYE2CDCbay4oPD7bN7am31/L5ER0+2R/KcLyQhgyzI3XbVTIiypJpeKX t79EtcAwBGLuh6RqxBdNxWty0dZozg8b2VzeDWL+cjoej4Qy7W0UF4oyXdXW QoSGF2uE0vo7J1eu33pwz0wSo7K9HVPrZlcd+Orevesnd0yOca5z9wcXbl6/ duObR9/eufb5a130fEIrQUobT9776z9+f/LNlU93T3dVsj67PdbVXUqE6QXp hpiXejcrBAKF1ca9VGl+xbYtW2cbKaYpXO3OhhOJmlsBmWedGkKVdl4UtPEP /O4RA1azXCpVarWKZ/+lwIK5LM09TiGRCnI3B0SypFxDtsfdkXJn/2iV5mKy Kx5OlvKhUORlMpwhNLZ11/ZNa3ds7HLI9c5ktHvVln2n7v7w3f3Tr3U3D67d dfiLqzevXrp4687N6zcvH9vU4p5nssnt5c1fPPrjj18eXv1462AylsonvKFS tbWYIBYEW7nRaLTVq0f8DtC3TW3YsnmgTko2htq6AwgczrH8wlXQgkKuXPFc U6VMD8qbBDqLSacygIjNsHB7qLFAGFfJBFpvku9XsaZbWbHKWU144239o5N9 QVWTnqZAIhykgq3xFy1A5a9MrVq5YqxneKgIy/RUkGjZfPzrBz//+sP9k7NR Z3n5gROXvvnmFvcALnz11ZUbp4+uasXn95HEltn48c1HP3578+zbG7taOqdm hzu7B3paIwuzLbnd7aJqBViRFbGinvah8cnRhJ63ciDQ3ZPVCRTuVL1CrdJI lWb5oi0jGgukFiuNeplAYSbI5wWLhSYnl2nBVkcsziEmuaO56pKbk30tuVJL aye38SnUGSB0JtrpCHflF7KBpHqQTXZ3tyRi2UzUl0lTFjwQQyt7L3736+9/ /f3+sV5I4+k/dOrmt9/ev33jzJeffXHx5pUzr09Ewaev15Sbff8SB45vn3l3 x7r1e995c8+uTSsH6k3o85eVZhszqHRMvNhW6e3vzvMJrwYLdk+3OfhmzeDT u5LZUOsiMlRCjVEpFmv0Mp5QYEefB/NSyJ/JZ2ORZDHjRkAiPdTnUiPFZf1d 7aV0qacjF/RFo5RBiXii7cPFZxtAYqYCmZ7p8RZar4dxzOyJuqhgKu4fff/B 73//n1//ce9Qs1ZIdh0/d+/bB9/cuXnm9Omvrty+dfXEjoEo/LSebAqO7fn8 yt0H1z97/53Dx06c+OjTI2++NtXiWiDULJTp0HoKL3QUe3raB/rLfM+GzObJ DY7GlPzUE+oZOVRr5x7Ay7hfoeDrhzqJQGYymxpDjuUGi8Vk5OIA7o4V23t7 urvaC1Ffsn/1sMfEtC7raW0uZJv7KvmILxhiIS0S7hjrfxq/ufcSzBQqg5P9 MYtCqTOarIwLp2JJX2Xj2b/861//+Ptfr+4p6JWB8VNXeWL/9Stfnbtw+ebd u7cundg6GH+mlqywFdYfPX//9pkTH338wbvvfvTlZ5+fem/PsthzrGukQYix ZDpau8f60wgvQ4C64y3NvOHrHQ3lJEFtUUaj6gX0I5AreZqb3KSXyADUrKz/ tBxkguGgz8WSGEJGm2emx4cHe1visYHVg1403Ntfjifz5a7R/vaU3x/yMTib HhgtPCPDishiSz5fKncEIavNYrIQTtyMhsOO9Ueu/fS3f/7x848XX++wW9Jr Tl+/e+XrS1cuXL506crNu/fu3/7y8PaprO3ZiYLW1//6qa8+//jTT08cefvo Bye/OPvV6WNrOwILADcHbBulk0LX7IYhN//SMRTB/WHe8A1Ufb/I9AZlQ+NW qlrw28p5jqNSb7QgBKSTS3mdZ4uDoXCCDibcJpUWjfT1ja/ftCzLwtG+gSQV 6urLeQP5ruHx4a58JBgOhxhXprfqfnYQKWCac04ykEn6ScQEoJ6A1yrSeUP4 O6cf/PLbb395/OTK0ZXlzNj+c1cvf3nq3JXLVy6ev3Dlxu27965++d6+FWX3 sxCnJptX7dr7xuF3j73z9uGj7588c+HqhRP7xhLPAJcSd9R2uDncMbVja5Xb DRLITSKYkzXUng6iFEiUei5BMBnqW1tssD11cRKjubE9VEYTiFI4ZFAp1Hq+ 9CMXyXTOICHnFS/yXbO7dk0GdWpvD7f+cHdvMZps6RkYGujIRUPhcNBBR1py CwaHiByZJI2wsRCLWE0gHQk4QS0aS7qv3f/xpyeP7t16cP2Ld7au33fy0oXP j793+trNG5e/Pnf+yo1bt25dPXPy6JZRH/wsBuk9hY6+0ZVbdu3dt/eNox+f uXr37s0Tu3pdT5+RCUX4w0BbvHf1/m3N3EvQuSIkaHfWdPMkRp1EogZA0KAF TPWjOgGAw/oGjcFoJ+sprlBvBgCrxQbqpBID2hDPEkI0bz0iKFad3bp1mU+m 8PV2+WB/50B7qdRSaatWy8lwwO9xOSh/MrhgIK7I4o+57Vy8s6pkSoAI+mjU ESoUUz/8+OTbuzeuXLp14+r5T9//6MyVr04cPnb21v17Ny+fv3jt1t2rt69/ dearjw9OtHuf0VsUgNWK+UtDMytXrt2888DRTy9cv37x2GyhLkPTJFAbAK28 SUalK0Pr17ZyhmEJR+2gO1FXauWtXyBVc89CrmnEVpXNbtMrxLwkGMT6aL6Q JtZbjXKJTCBT8gmfpQGxZSaCfxFKvNTZ293XlyXI8nDJpqYrQz3txXg41ZyP B3welnS4vKGwe6HgmhyNJP1Oj5n/RjVEkjgTyeaKlZ++u3f72qUL56/fuH37 ytkvvrx05sPjn1y69+jx/ZvXrt+5//Duwzvnz9+6xVn4VMkNLqwqyG2eZC5X am7r7J/c9Prn166f3Ls8Y5MIBSK5WmfUqFRoMhuN9oy1ohKZnTM+qtCTfFE0 RPaUdsz5QcBkNgN6M+6krFq1BoDABeBX3tgfAMFyL1UKR6otUWeko7fSvWJF Wi0mylwwCBJ4qBJysx6vk6ZD0RiHEhZ2IWh9hZSrLnmuBWEj5E3HPeHmb29f vXL5/Nkzl6/fvn39wldnLp/7/PNzNx48fvyASwsffPvo8Xf3rl795vG331x8 b+tYkVxYWBcoDQAH80EYJYO59Ucv3bp++vVRH6aVSmScAUBUqj1NINlqDlbo XJWWRKp3rGhrkkiePyB5+ge5zgyjZrWYl3HVylVqI/hcVmXQKrk715BhfnSY mi0WQnY40DncNz23LgdonYVczIVakEjVS9P+SNAfisRj4aBrYRVAiEQTbG2O lMRsM0mtgSRrRiM3L5z9+usvPj5x9vwlDvNdvHj9yqXL127de/jNnTt37z98 +PDxowd3b999+N3339748t257pBh0SKFROftff30gx9uf7a202Mz6rR6e6DQ 0xUwA5FcwKSyBto7K+19PSlMY9AvLhonVugsKFILAyp+lwhUJoBfv6RhIlYM M+tBJuDlEY3Jk2dhE5nv7Sq3zaxsZalQOkSY9FY60Rr1uCOJcCASiEa5PAl7 rihh93scXCYhNNphnQyJRFGFznHp9KkvT3905NDJz0+fPvP11Rt3bt3kfN6d e9ev37xz/8H9bx49fPT9o3v3Hj/87rsH109uHXhZn7ZxwR17Lv7ll8fn9g/n QgwCunJ9ox2U1uSLMnodGixXO7vac34HhKEWtUQsebqRGjtUoOZVVuriwHXx b6mpxoACLABv+kItylJMKB6GeK1XzBu3avS+zoFyiG0b70zGE1G/Ta5CfYlM PhKIJ/xuny8cjRfrkm5PL50rGrIaNUaHG9dqyUQElinB9z4+eerjfWvXHXz3 g/c+PHPp0vVrd+7euHP/+qVPP7v17a2b3z754ccfvquVvm/dv3v9swO9zqX4 habUprOPf3pw4cSBTWMdzZ0DE0NRQAO5WMxkwv3R9q62VMiHa1USidxAPt1H 0kbaI9XbcByqw8j6+uWAWSWU6kgGN/CkcI3aYEZ8QYy3EAntx8RNyuDQbBuk wku9HLBJ4kopgPu48OYLRyIhF+50BZJtg8nn6gpiINCRCBAYlx9oDGwqADRJ gNffO/XRweX9y3bv37f74Ednz108f/nK+avXv/783ePnOdfwzaPvnvzw/aMH 9+9cvnrr1s1zR5fHluxssmbWfXLrx4fXzp06vndu4+ZNkynQiLEUyhmmK9Ha 0VFKeusGbnD5509o5Y36udRgtkEwDCgb6xfrANCsFKusTtaul0oUylrJH7LX Bd+c/CGZKjG+PKcRmJMdxXQq7NBrzTbCH3Q7GcbPuT6nK5zvm648T4ZTOJs7 msMOwuPCEG/cqeaeyNp3Th1d3Zwf2LRhdmr9oU9Off7pl2dOX7j8xfG9r584 9/WFm988+P6nn3/6/vHda9dvXrt29siWwtLsGoV/7effPn54mwsXn378/lsb mgmbg0UBlUSORCptXT1lVz3IyylvIy8RaBszygQand5gRRGezMjZBJf/2awm rdpCuJ12k1ZvrOn4NSnrM6x0wbCZQyGF6am0TmAMt+RiIRdsBMx6C+XyUBDk TGTioWCqfWrTEP28s7GEhkbbfQ5fIuaORDkgJbPMvnl8W4c30r9qeqB78vX3 Trzz9vGPPv7iy/d3rZrZdvi9k+cuXb//wy+//Pj9g3sPbp378sO9G1J/0tkm K+w8e+vetYvXrpy9eO7kwcmMzxfgY7DIGigX2oc7nY1MxzTPetOB8+6EM2+z FUH5VEui4YehGnVGiw2jKApHEDtSoyM0KYwyDgSKoHweEUvwtqmpNpcRipQz IQ9pM0OoBWacXhqB2UQunQwnu9bsGH6hG1oIto6O5tyBdC6WitM6iRbecXjf cADxds5O9vfM7Hvvgz27D7518NDBrZMdxe7pjXuOfHr6yoMf//LDo+8eP7z0 4fvH9o79Kb3QWtx/lgMMX33FUyq/fGvNQDXOsyP0eNDnTvR0N04lJPoG3Jfb 8HlHoAJJyoE7+GKDyABBoEmtMCIoaDKBCM64KLi2fp1ZZVArDZ7udlIPJ4em l4804/YgP07WgSK0zxOK+b1el9OfzGVj3kjv3L7RF+fBS9wd00OFaDiUzKR8 qAm0H3tva5nk8OPK5aPDq984ceLA3v271q6Y6C6HnIFcdXz9m+9+dv27X37+ 8YdHtz8/cvy9A6UXTrhfuPR9b9x+fO30F6cvXL93/8qJXWtDGn5yPevWA1Q2 7zTIBAKDHZufU6EE8fnER2iwkw7cjhlkTTIrQdphoxYAeauXaq0Ol7Mmii/Q GTlvKQODHc0UEuwcHZseb7Pb6GjIzeAo5o7Gsxkfh3584UwhHwsWZt44OsO+ SAWDcqvmpkoBZySRjDjtMPzm/omwnUwNLp9ZNrJq37Hjb+/ftbI9G/dQNqPV 7kq2jc3u+vjWT7/99tOjW6c//Pid9e5X0Ovx/veuXfzizJXbD578cP/MGxt4 TpjF48bEWsxFWvQAjHiiTkvjrUh1VtPT5F+uNYFWo07BT4NgnCwOzbOIBTq7 ywNJeY1zVf2pOX14oNjdWhoYTIM6yOtjHBCEecLhRIyFEQT3ZcqlXHFkx5FD Y+SLhWWtb2LvXNXPeAKRsAcHgRXTZdzGFMcnJob7p7a/dfjAjnXdHsRmUAib RDIt7PQk+3d88eDnX3/5/t7Vr7/YU30Vs0AY2PDR56cuPnry40/f3/5053SW VmuouM8mtxCYWiADcLvLi2rq6xcKuPhmlj01UQXAfy136TA24CHNTz/U7ApH ILVSMT9xRgqipWrF72qpBk1Ki9vDpbQcBo34wxFWp5LrqHRzqdy5at8bm0u6 l6K1te21uXYXybh8fhdmVDXnKKmULrZXK93j6/a9vXvHRFscks2/ZIFAB/q6 d5/7/veffrhz9pO3Z9KvPKkwFeY+PHf3599///XJjQ829DWH2GC+EKLYWG3w mdxk1GmUz4xSAnuDhAWof6rSoKwP/lBaEBACF9QEAGeYRUwqwTxeVlqyBZ/B 6M+nzWoD5bEbNDqYdvrC3lpjiCXW0V+Z2LJlWRp7eZiCzDe5ujdGOkNRH4Ua pC4XFyKRaLpc6F65df/B7TNF9oWjM713+NDl777/7uapw3NV5pXnqmLf9JHz D/7yt7/99v2VI8ubo4FYx7LhUrC5zNbyPn5o2LPBThxujifcGGThqX4yY0O0 UazUGeQa4wK5RpHJatRqVTKFriZqKQLZoNssVFDRiNVgJlnEoLOidoQDPQS/ fnOopbN3+YbJLLLY3eLV8eFKLBr2uyjEqCRIk0DhLlcqpaFt+/ft3NjOvBTf 9KHJd87f+/bWyX2zefTV3TVQ2+uXfvjlf//zz7/cfG9Fye3PDa2a6W0e76w3 ptUGXz21eJXNHwpxiYvFZtDpAHNdx1ylVkpFTRIDsGD0YW0hUrWFywIUXICg wna+sm1hfYgNdnAIQYvhkMGI0TQgbRJYObg9vGJ56+L9p6Zo19RkZylIMwxi 0ATdNg3RtXr1aPfU3kO7N8wkXj6LFFljy7Z/duXmmcPrW8hXKxzJvCvP/Pjb v//Pf357cGpje8AfKXR0VqsDpXot7vlDKaUFRR2kTa00Wrmrjm4UWp4t1iS3 8sdk0sYbrNu9DrJTdgiEcbouF62AXSwv86tVKFA7pNcjNI0Y5Eo4XOmfXTuZ WuwIUCjSUaWVmyZa3TDlwXTqTJQmW+YObBvvGtuxb9uKfs8ifQdCLZVac/jC 9a8ODfv/i+4SQ+WdB7//8e9///7d17v6s0Eax5lwPh/i71hgNj1vkhKpHMBs coGYS3+s9WOOxuwjuYX/BbmhYQS8y5DpdUodT/7z2BsfY2AjARa1GNQyM2q3 2QiGIiCjEYt0jMxtmYgsmqoJlLbkyu2zJcLo8Dv0qko5W1759v7Zcqy8fOum sdISL1gdnTh29e6519r/C3kNgWft13/9/V//+7df7hxd0RbDNFKlzZUKWKUS JRiI0C8eyYhN/LA2ocJgNmqUCwYT1olBJmPdN0oVGgNQ2x8qPOCFVfXb5EJL kLLZUItSA1MkwbIOCodseLClf9XqAe/iSFWgD0xtX5tDlaCbBg2tbS3tU5vH Uyjo6Vm7od9rXmJRau/I/rPXP9meWuoHFlz6wv6bP/7xz7///S+nd/anEQmv KhEN0XYHgroTETf2wnuR62s2J1OrVDrTi49frmnQ0Ey4vdESpMBorBExDJSX suhgp0OnhGiaYmk7SVEk7c9Whid73UvI06tdw3MbC6hYhTtpR5JLFdIlr1oi xSqrNnYu7d/EjrY95y6dnAj/F9Qq28j7t7//5de//X7l0LI8v+9VKOt2+UMO rdbi8Ec8z0vRivWGWkAUCjgjeJm63yiRw66nY1c0GIEZa3HAytgtMonNz+hV EE0RFIFSLq/X44/nx1aNBZaI1Rqmd9Omsp3zk+6A3wLBNnOtY8NU3PJ6758x h82tb1y48e4IrX91DAjMfHb3t7//648bRzfl+ZxX4/DiKIXx70+kt/siLmjB mZ7E8Gw0sbjWOihVvRS4lKD9Wf1VbayPTROZ6rOVIYYGEYxzpTTLkM5McyTc Mb15Nrp4J6BIzQ5vXpWzqzUmKuhrEokbW87Utns/L4Atf/k8qnGRs6duf7ln uBywvIqvYsm/eZGHQHc+metwW0Uim9cFgw57YyvrYdrjI02KxvfIDY2OIQHn DfVahUSqeDlwCTUL2orUuoZpmx3q2mOgWCug09uYYCzuZWOlZLJ73bYVkcUo MIImgcwxMLeuRAEmiHYtyA9tI0cOtOj4Y5elMI60+a1r186+v29tx0uw+sUL WnHyp99+/vX7K4eWFxmDifHjRoAJ4vPRzOrNZ2NOS11uXVkrbfIPQqNWw6DV Zl6MuSF+9pXKp9DIRNa8qQyhQGWTAHDG0kmPw5tNZ7q3b5/0L9YGwwuIEgOb V+ccXPJHEwuwHr3h4z2JPw/vvo2f3bh9/eyHu6uvUhmTZ/c9/OWnX395eHpX X4Tx+BwaiSHW19lorBGroWg6F61taIHSMP/A5Qq5wmTGqJfGWNXW/xSU62t1 Ukltz5J1mwIwHuqZnIGgl8bYZLZ59I3tg8ziVipUO4fWjUdsWgtGopqmp6P2 Ajs+3vyK5nly4t3Lt+9cvXx6Tz/2CiAET5599OOvvz65tr8vlSrHQe62S5u2 jRUpdZMGsRn1IOH11ubhCPQwtBBUKGByMe6aQKFvTM3VkW67gk8WpE0K1OWv 5dIWfoC8FPO4aS4EEv7M4Lb3d3QuJc/P+f81o2Gb1gTjnCOWz7dr+da/ufzl cWhK/TOlbyE++OaXl69dvHzjzOHKKyjW8sKbN3/+xz9+v76nM11oS/LrL2/Z PdsZNIv1tNsOCFRWpD4+RG5t8HQaQssWZFGMpbTVp/tJYU8tQ9EigNrqjgZB hURiIBjuMRhYDtI7vbgZDo2+8f6mwlJTbuTM8MbpLAlCMGJVNKksDZiAdq0Z dr+w9RXmUNz/7HWY82ve+uT0p5+cuXhhR8efy9s0OaY+/+nf//vvOwf6s9Go m/OrpvTE8u6k06rQohSkbpIZjPNmb6rrhkpr9ysyWTQLblw9Twjnoj4PzZUW xl1bmJWGAXsoxeikGjPO8JLfAONmaG+IMhjZ7u07B1y6xd4/9xEq9/jcirKX cCCQSd6ksDZKUJroQK9f+/zv2IK9A83POBQiR2nTmx8cOfDOl9dOb69Qf7oF ZLlDD/7n7/94/O5UgYFBg0ZjC7e3xwjEqtcCnIMTa0zzpS+BEeR9u1ij5V2c wmQyPMv8JPC8kL/c4eFtHKJ8tQE2CofXbsZDCUQm1KOcH1PyXArCQYZSfhhy ta4cT75Iynv6kabo8q1TRT9DYzZA3iQwNSpacqZrsvRC/Kc6xjvcC8KIBGhd 88aelcu3H/3ks8NDfy41Rq0898s///H96a1Vj0kqUiBut9NJQrgDUvFTk9W4 82klTaC2kUqhyAhbtCqNSdc4AapfGnPjzFBsD1EqNRbKZPgcXG5xkKAJ98es coUFRiCDTilX600w4Q+l08n2yeVtL84TenopiO5NK9u8LM5lXpi1SWJrzNtU ObtXDKaej5lwuhR4LosS4bmJNauWjw++fvLCsWH8z9ZvHf3i5z9+/fnuJ5tL II+A3SykU0gtMFYLezKIJSzzG12BclmoAuB7fAEe2YqezVgUaObxJsA4dFok UyoErAoVQBFWuVCD++2ABYMsgEqt0ppBi8lic+Za28fXr8kspYMmMASG146k HJDJipEk0SRFnXU6kgzLDg5Vn/e9CvuLYF1s9ldnV7czuc3n77w/8GfVMGX1 k7/88fNff3n06Yxbwb0wmjE38dEHxmvuTm2zkzRSx3FNfIuY0QJDMI4Y+Pcm fEaGk8zTQQR6o1oPx5LJkJNyh6IMj4ANBIkShEmlkIjFKjNoVCnEYCTfNr1+ 0rvUMYXCUZ4YL7GgRgmgBMvhPyxQ38gCDRbOl17gDS8yg1vJ9s+2QNr8wSvn d2b/pBosa/3gx7/99j//+OPG9hQglehwV31cl77RsS+QmUi324EaBPxhH4tY YZRbf2OGn+aZI1YotSZjrRtRKjNg/mDI5/LGiwmKB+0SM8bBaqVQxk92VvJn 6AoLGyqOT7ctrh/AaxHE+kdavCikU1vtdsLNWXS8oRgukJmZIPXq5mllfLCE SOhlx8++PfAngEHZ8u6jv/3jP//nXw/ebLE0KdWgk6k3SINPWQAazMmlIIRO KJACOgPEj4Wy1F+8Srag9mOlcECgBMx6rdURj4cYBGFCQZSnTQkMIOSAZBJD rXdAaaX8OOnP9K4ejy8xnk+gd1YGm10wTCEQTqAw1iSjM0/1OgUGjLS+unOC aM4RTdrw6ncPjb/EaHh2qVsP3/uff/7nX78//HAqaAW0BszF2HR6HbBAHUPM xS6vj6jRn+UmQC4QzZufaAEd2EDigBILhRjMToQCLgzQW+3u2igfFWSFCURj wOoTKQFX0u1KDaybG2SXyP1Etlh3m5uDXx4XSxOYzcy5vWzkqYuTGDDY+Eoy PhBNObm7Kq6fGys6bUv9uKZy5P7vf//t+1vnjm0ebo+7EYiJ8OeSzPMjcEUA 7Wd5SV+JXvPcR0mfugCZDTFZPJmEh6ZpLls16vVGAEUtcs5gMRhjCCtM1ret EvNRZHpqy9qWpYYTivFMNWYSyw1OrxvHHJilSe1MP1PMF6ptKPhKLrqICTtF TVJ332RvMRVaSm9E23H88R9//Hjjkze2rVm5au1QDCMiqUg0Hbc//wUiLJF2 chYo42UzFjwB6dPHJARgm90f9eAOhtUqZUqdXilWmCGdXA2YMYeLQXGiPvlX ZnE4sMTkumWJpfySjMq1OGVNEqWDC0c2moaa5PaGX6pdSiMKL5Y2PX8ZSL7P 1ZbvK5FUxLeEpzH2fPj4178++urATDnWtmrDmp5EIkZZ9ZjXAz/nYyUmX3Pe Y5YI1EvVFsUypRWmca3aBuskTWKLTSmQyAAMt+m1OoxgWQIyqJVCgcqolYmb gPj4yk5Wv4RV6gOFFO8ahSoLwTgwB9MkMuML2I1NVgf2agfAxS4Fr97ZmgAt 3tASQRAc/uKXf/5x/+MNVR9Cp/qG2zO5KCwXyA1W0GzQqQ1PV6siMxkfbgXA l4pfvH8DxE1CgdhgBDhULOL+LNLC/MvWWTEUUMpkNoyiMbNWpTNCBO8ShNbU 8HAGXrT3QdAkNAXzyVraJdXBFEORJLdPYWRBRQckHa+WbpUb+dY3GZMJmZV0 lF7cAKjZi3/7z9+/fW8yS+o15lChkM6GIJ5+JdKjJIWz1HwhVGAOxANuF4O/ PFRWS0fqnDodqG+USyQGC4+WLTYboBAKRBaM5tav10IUBwkMYgHgau0vLzkB RQzFS6n60GexFnKQDqxJoHO48Gc5ntFOvlq8WGR08H4fioRhPRtbbKAk94wS O27+/d9/fHdsNOuxaTVoMB7wkhBc6/TXISTNuf15aKXhHKM35MO0LzktvTvp rE22AmgHqG4IVCqVWrXEDPCjBiRKm8PlIiArSPliERaxocHm4d7wkjFc4yy3 51y2moCkQm9F7LhUDfvD1DNamwwkwFfW9+SOGKPlCe4eG+QKLD4O2th19ME/ /v33h0dGixHCbMBi2YBdrwaZGrlTbUM49GdvzItQOkIxfywIvTD7WcxzbX21 PnyplfHRBoVWWS/gcKlzfbidEUIIp5PC7Q7W4/ewrkC0MjDaSi3V+yWypbt7 SgGHViBWqtRqtRGhADSQTTwbe8b5WuKVDlDsyFZjhEGmgB0mCMcXbzQipk9+ 949//XH3yFRH2onAoepgq1cnVHrcDj2X6hA2wGhDjI2zDZD1eqLhZ9BTIJUI pDqjQqgja12lYoXV4XOZDUidBtFktNWaYEUGjIFQO447SIpxuRhnKJ3r6WsP mpdagAAp9XVl/bRJptLrNXKJAkCocGtPYQFLQmwikFedcQHpzrYggxh1GIsi mB1Z7AEAifWnvv3tl0dXj6weKHppV2F4eriAyWSYK+S1I0yEBVWKp4cdUq0B cYVdTzeeDkJgCLGpRRo7ahYL1Dq9DSUdFhME1eGWVMmfk4s5F8aCFrMVIWiG dTF2Ilhs72+PQvJFWqnq60eb20shhrSo9CZAr1WrNdpgcWSynX62AIWVhF9l /9ZSJeSw4xDojvudHn/Qi7z4GzLAU9n88d0f7l88c2jNUNHrDOZ6hgdanTqV Agklgp5QKk0+72aVsD84H4eFZpL10BiXwAtNsFmpAiEryuWGgF6tUstEApFI KBSLRBItRNAUCHCen2RZj4eyWr2V4eFWl0awRCepSEF1FBKM3W5WAyhk4/IN ozI3uGb1YBqrPQC9w+lCaOei5ceFF5xNkU1GmnGXO1PhUn9f4kWPKcYSg+Nz xy88vHH8rd2zLYxRb0aZTE93ikZtKEEioN3t99PPeyklG3fzjlTGuTk1hLtx Y82KFXI9zpKE08tAWrFQotQBEFqLkzIDaLMYuYTBrDfYHBRBExDoLI8MR43P eVHxAiCgIeLlot/lsoMmjUmtQb1+Cu6d3rhuWYsX0iqVFk+2uTmZjROvEm8H IjFabqEcdL67VB6c6fe/YP8Gujiyds324xfuXTgwt2YoyTlUMYezK935SMTH GZ+Qy29tpOd5C5Ag3hpdV2sDNEbQVg8U3CUFMILyxvIhfrKKSG5GGHe95qs2 6uRisRHQyWVaK4I7vU42XO4t00vevdjqjmdSXo+fwWHAoJADOMuyU6vWreJg bMTrdCc6RsdHh4Y6/K9KAVWeRBClXASR7evsX7Gq7YVSKBjr37h//2u7jp69 dWbPirH2xphYe0tfczrfETXXf0rLRunnHL7chvPJn4kmbYBO+bTjT2JGCU8s UwzUfk+qN2F0nTRW49BKbSCXB8uMIOyMJlK5YtG5dEKmoSMhN4UQXi71QSGD Smuxe2LTU5OT09PLhkYGBsZXr1uxbNnysQz8igxAzqQy4UjYRWeHhpfNDAae xz9SqnPLkY+P7tn15kfnvzy0erQSqTsUrDLcnk715OafliWaeL6AJtRyIV0M ut124wIIKjY7ApmUn26kJcImCYBa5w1OZSU56C+UmxALE8+XW7KhP+mkBcNp L6SSm3DK7XeSNr1KY6bCy4aHJtZu27337YN79+17baa3Z3qmQi9aOV1wS0gg nohyJpMbWz4zlDQ//78isnfn8Y+O7du1e/97n7y7Zbwty6sfNYngfF8l4krE 6fnFUeng02qTvP6PAqHMTFDwc4BCz5Y6E7DiWUzTUXRDA0JuxhgG1UlVVszm jOcrbSlm6dgtowotAVAi1kF2dzToALUKmRqk+rv7pjbvP/bxyRPH3z00N5jP DU53hbA/fwBSM+EKuNwsnV62dmUb8eJXoh3b3jn27r7tm9duPfjGprFqJYVK mpQ6JJCJEwYq9rQnTesOz1dblEgDdUvECp3x6agwqYrv9fF2dPrUC1JDE1vH a0K5FrBiBAaotCBGh1L5Snv8T85vdd5KRwzXaS0w6o6FcItWozNY4FKhZXDl 1oPH3nn70KF9azvC/tbBrkKMMixZBBCrOWdOuzwEgWOR4XVTL1dAwJYth4++ tWPTytGJ9ZtWjAwOtxKyJiPicPASL0yx8pSUrsIZvNaPIYSiaay+YJlEqtLO m7fObBBKLMFi7OlRhkQhVZhgHjcJFBqNRg9Y7QRssqBEOJ3NtrQGlh79KDD5 S+UQbjLBCMwE3SSoB2yQ1RwMxFsHJtft2Llz977dq9uCVKq9o1qt50iLXSKN zcH6wtEAhaM2b9+afs9L/hZs3nLk+L5Nqyb7+iemlo1MzfbQcqEaJSDE46f9 nf1h43zTq5pga00uMqa1wjM1VQbApFVz2X5DS0JvMWj09nAYm/8OHWa31ZG/ Qm8BVEoDZHE4KcxOu1L5XKZUYpfe/RKLJxlnbTo9aLMSbpK2aowwbFSBuMsX SHWMTq/Ztmf7dHOQCjYPjlYjDvXiO0AKwCgZzRU72kIkCoeG14++rDduat3x 9v41m9eND4+PVCvdY5PdEVhvY3wupz/oiWcL3F3oGx8vx6labyVW7YxZuGzX TlJ23BXy03hN51AgETaZ/AnnfKLExcgUa+Kwn1Cl0RsNOgBjWRIyWnCa8GZa Wltzdi5FXqLyo6aSuTABmo16nUZjtjvMOhMEAkaed2Mjo+XByQ07t89WU6FE uX+0M4xoF3+SSpvd4S60t/f2FkI0kV2+teflc0Bz8+bdG0dm1m1YP9tXyBar g71FvivJw1IUiZOhbIw0m+r1Gi71ZWvZkzHUkiK1Uq0NxxCHy8NFQG1DQkoE xYrxRklCbKJ8QaKmCihWymW8JAKXwVoNVtLlDGVbWvLBpVNXoTlQKic8FGo1 qCUCiRY0mSAUgvgIJJIZyWChc3rztrXD7eVic89wZwA0aJWLuFLu9WMom2st FttLMQdWWjNXfqn8JQCb160fLrYtm9u1pjuTSeUq1Uqx4HVYzVxYlxvYdBzX m/D62WeT1hfgRxhIwXDUA8rEKoPeYMV536ytMxxEJjrT3hzm5WKa5CDNJTmo pnbLMmGTSAuiKOFArBD3WDLNnZ0F59K6Z3J7spz2MTQO1QlVCpXOaACQ+oGv jHuCia6Z9WumhrvaKl39Fb/NYoOt2pf2gAaGIQAKRliCu18TUFi1JvkSWJJg HRtWtHpc6cnNM10tlVwimU5n8jy25SuaEiSaIA2AnaptfKEunOMpdQIlRJAW KZfzioUyAIYtAFjjxGhtnlAym4n53WbABDMeJ4mjHL6V6Y38UGguH7K6vF4K dfhTpba+gSL5Yivx00sM+otZNwKhOGIzq0UimVKtkjTJ0GDjnrVmItE5NjU5 3l1t7+xqDjowysUiL1NB7bBFqSUoswajMbkmPzsdfulnVFTf3PKsTWevTA5x vrQQdjOsP8GT0WpNfAoy6EIgIhpkbUouyXWVijQPd+R6k1Gn03FpvdBAeLye IAOq5AATz0ZYFMJoNxdtWZeLdqCIWSVVcn4SxBw4CoGuUNSDIf5SS7W/exHu 5vyldGdb45jRBGF2kiZQjCAxI5+nPJ1AKtbZQ4XqAD8OsdrdlvKynoCf5rkF QpFArFQ2jiP0BAyIZRBmUIKoVaLNTw37X6wWitTU4K51ZZPKlh/sLJXLab/D YqHjvJalqlbg5py+A2cSqYQP0UglJr59gx90xqsbUy7GajDa/bF4LBv1Op3e ZHOmJuSiR0IehqK55VtMRr1SLFFibDDkwhGUcPmdCOxv6R7oLzuXJmdqouXm AKg3gVabnaZJxhdymoVNCmjBtECllY6WOztbyx2Dg62JIN9GihkVap1WbUAY V/2QFHCymEZtp2CQZTA9XJkecL9ULJAi/W/sHWUxttjTmuH2f8iukiPRjB/W qutlOaPNYsUYdyDg5AtRoD/XFq9jCAMTDNK0Oxh0OuwUE8w1F9IpH19pbVKA ARqG7PwsaLnGohc0yR2uYIC1oxiOEw7M7i8MDFUD5iULFwIk314JoaANtPLC TBaYImC9QgtCC487ZSY6Ue4q59qXTfVk40EXy5CwGYRsIB5u7kqgvNIPGMiG MNgb9rjyST/pH1ozxr5scqbeo8c3FWOx5o5SKpXNJxzSJlOgvTVu19ZtRa6S yPQGi93l4zNNgTnc08bUp2aAjMsdSqdcRrFAqGVb+ipRt72G9Q12H6Y3QKhR zA8IASVCHUpwvgyGYBrj9jTlT3V2Z6GlD26ASPdwX8ZNOWActhg1KiOiVasM Dg/+3OmuQEOlyq1dY6tWDTWnwk67ncCsIGjU2suTqzu9eqlYjibGKvFEc3tr oae1o2votb1Tzpe/TF85fHLPUC6WSmRaO1rzqSAo0TJt/T0xvvm08YoEUqme TYVq8UrrLWfZ2o0IZGo96g/XynFCe+tIR8wXpCwGI+hw2U1yuZknyqhgCtEb YNxkQEg7gtntRoUB9Tf3paA/KdvZW8b7Kxk/t/HtKGhQypValVyqo0OO53ev Eg3kW/uXb1o3VAgF3bjNBpqMZsBIlpfNdASsep2Rzi0frFSGZ1eMjvUOz2x+ 9/Ak8/KXmTve+WRnNcJ5vfKy5QMtSR+ssQWrvdUkxWE3rUyi5nv+BE0SKFao VTyazKFSs3feEmVwXRdJQlX6m2PhQDAYDEejEZtOJDaiVqXCzIY8KAipJTIT bDWDNGVRqKze5sq8WNtilyY4MN5TTIacBG7nYqtcoVRKBEKdg3kBL4gBPFIc XLN9y0g+EAkQZj3nkA0GwJFobcuwoNlsZdMjA+0tI5s2z4z3DMy8duKd0UXX //aJrSWfHfV0rd043uInrEYsVCymw4FwNOJzOv0BDsNwyE7t72j21nCQMdRR DQIN4GaAa3el9re1Z+KZRLmjrbUlF+E5gUqMdiBMvJh2wWapVAuhFgNAkphJ B/pLKXLpsaM6b8/qvlLI42JIwglr5CqdViUWKW0k/KLzlhuoeM+qHTtm2tK5 hBPUqeQKtUZjspMOO6BSqzU2Z66UDjcvX9nfVy53zbz5xmLr1zcfOLaxkvR5 ksu2bBhJ2/nQTXtonPBnys1tlUpbOUbZIFCrcXb2F+vn3VCyO0vXexy56FI3 ikRrNhQttPT0tnAAwMPnxHJHOB6MF1ryfm4HWBwuBtRpAZCkMDpeCi3F9uIs ieyYXT/YHPE4Xf5ImLZoVBq1UqwAmUVOesRWT8v4lt0bR7vacz4Oh/FDz8US uaxRRhPryYCPivSPdZQS6XL/jn0Ti4wbUuX2vLOuq5iIFqa2bRqMw2a+mss9 SyPJJWnF5pZ8LODzRqJO1Fsd7WVqmaaazuSzPr7EIbKyteZgAZbK+plAprmj PZ+IB51OhxVAfMl0JpvLpYIkCJOBmA81aKRK1O2MtLb7/yT2RyZWT3ZkvXaL hQhEfQ5AJhRJxAbKtdghqRKLtc+8tmVmqDMXcJEcBnkhpmhQAmabezsCXGzu 3bJzdBGhSXVm+8EV+QBN+aqrN/TH7SjDooBaIlJDPDk7FHLipDeSTIWcgdb+ vrwPs6iaJEZ/y+hAhraZHBwg5rEG4E6HKcITiSZy5XIu4glFY1EOM4Sy6WjA 53dThDeZT3rsoFJkdnqKw301bdTFL7h15UxXMuAwyiRGIhbzYyq+xxT1sYui ZT0ZqS6fHeni/JbHTfLSrs9fXMqJhMstLme81LNp28Ai69emN28f8EIGAAx0 jbcHYYRleaUrgdoC2ynW40StKOslHChKh5OJXCYVIfVyFV0cn+yrNJe7Onhx cKnWly0EKdYfcrHBcnvWx3gjqXQqGfGmYm47RnFgMJhtLqcDLCi3BZO9Mz2+ JVMfY7h/klu+E4fMZrs7HAtzG00kszFedNEUT2wmkn2DbaVs2O32uqmXCPk6 yGJlEoWQN1bo3rxjaJFhC7rUunUtTrPeZHJkqlnGaLJjtQqhxgKilNfHwtxz sCvEIpUFRWF7oNyWoq2ALVTp6hpasW7DZB7RWJ2RcrUScQViEZedTpeCdphw ej2eQCiYCFNmA8jLDXPOJB/1EDqy0D65ss2zVNFWZs/3d8VIi0HLJbo4y1kg YZQIxQhNLtHIIDNT8XKluVKOefyJPPliWNFidhh3+twuX3J4754h8uU6gSq2 ccegG4WsSpUj5OT2qK5W5GlSAVbcE05wi3FADWctlGps/lIlSQAcxvcmO5fP rR0pxeL5SrWzlIhzmWMnl5C35Am1TKPSQq5wOMB6nbAVxawITIRy+WTU7UsP rN/QH1uqKUFGVkZ74pheo1ZIZIDD7eMgpl4oN9PgkvFCYSF8sUr/SHcpWyjH aOPzZiIDHRRDYqjDm5t8Y++Q4+VtJwtvPjAbpR12owF306jJoK/l8rxoDOTw +l0OfOFJtwyNlTnfhKH8mLyBZX2VQuvw7MrpeMAba+3v7ypkiy0pO3/cJTLS oUiA4fI9gsKMGqM9nMslY4FgYfK19S3kEqQFOZ4emWx3A1wcUwr5AcqIg7Ib 1aCTBZemOci5R906vmnDRE+1oyVGWZ8/TVdDjIeyIbgnO/HmgWWL7H9ldO7Q 2ggOwSYAsXMxF8dsJr3BaAEtgBmGrRaEdFgXRB6NI5qJ+z0sE8h3dHa0FFuX ze1YPcgQTLJntK81XWjOhxyASiyUmphw2Of0+T0eF6KWarFgMhFPBEKta3ZO BZdI/GW2dO/sVBGTN+ksfMuYTCdXqtVyJeh0LF3h5NfoyCzb+fqGieGhzmKE tT1f4tOgThfFMs5gz56DK14uuAp1iS0HZv0WtcFotduDkVjE72JohrKDRgPI H91oUTsX/eX179dqtKA7UyoUc7nWvpHhvu7eiS17tw2luESg2N1TDDPhhJ9h GAKFESoYC3GZsZNxcevn8geGZf1Jb6x77arSUkf2gKdjdHa8SGgksMNukCm0 9cKiSGOp0SwXnS9V/0Vv1+Zdm2ZXrFzW35Z1m577eA44Od1OykGXNr++fJF+ OFVo48G1Matca7azjDccj3op3E6zFGIyozWUpjUYzTqDkbMBsZGiSGeqe3io f3BkYvnK1WtWbXr9nbfnehPJVK5USrhQM0HDIOEPeb2+cDwe9rtJyOZgCBtN YKDRzCTjLWNTLeji2EesIVN9w8sGy15QC6KQQc/XdPhlK3W1VkOJbEnMJIbT E2tXrdqwbevGlWPNrJ6DQPPPSgzYSYrBEITIrd06shjNll13ZE/ZrlQDKE0i BEvBeqXchFK4DYRqVH+BUMDl3mZQpzQRgUS+dWj1xrXjM6vWrN24Y99bxz/9 7NjcQKGllI26MUCjNplUCgvlYdzBaCQcCtGQXg/RLqffiZk0gDPXNTpRIRZ/ +wK1PVruaOfAM23Vaox6pd5OQLUjVsAGq8UCmUa59Em/kqkMjc5s3HnojQO7 Zit+EkfnlX+EVtbtdOJ2O5mZXd+72PqZ9e+9WaU1ar0VtWlMnB9QiQVqmwMx cknnMzwhN5ohZyJf7R+c3LR92+p1GzZs2v7m8c/PXjz/yb7Zwa6CF9bz3H+h SCBUWnHcFeZyB5ePhgwGiHR53CzlsNPJ6sx0l3OpE09TqLmST4dZ1GI06EGr hkuaYaO8Nl2ctluNRv2fHfSC8Ur32LrX3jn63rF9K7rKqRgHG+omALhC4ZDf RVPJmXW9i9i/zLvx+IEet1FvsEJmmQ5EYbNeY0Ts9QNtgWCeUywGqHRn39hY /9CquW1b5zZv3rbv2MnTX1+5dv6jA1v7Muizu5MZESqQjLlwB+PCrVaEj0A0 BwnTHWOrJ1JLNiSC2a62bMJnBwxWzO5mrVzWDHPpv15vwr1+BgNfFgdYcKns 3ki+d3rXwXePHdq+ZmZyIM9Yak5LaHZFE8lwJOjOzq5utb38GRL3qoNbsg6T 2WgwqFV61OMlUQwCNAqZSMBz2aTz5mrNjK3ZvHHFYM/E3P4d27bt3LPv8Acn Pv3q2t2bn709kQAWfDLARlIJv8fH2Lh9h/CkV08gk/ZFqmMrstgSvl8gtsXL OR9jR0CzBbKzPtam1ejtOOc39GaYcrrJl/lmCy8tiLHx0vCKuV3b18+Mr5zu z/tJyKjTg0wwGk9F4vFgcXZl84uwWyJokntXv/lanoJot4e2cbkfRTtwCtTL JRKZQimVyucDr87Ts37nazu2rppeuWXXxrVr1m/atvfwG0c++ur2w5tfbW1H nwVoGeRJZ+I+f8RrN5usCMI5Eocvm/REu0b7/aYGkHnRl4vN/lLWR2OgSatQ 6UEHSwBSoRCwwtzzs5iNEMl5UcOftXMLOdvFA9nusfGhnur49GR/SzbqD4QS 2RSXyQei8XB+YiL7IvePe7cSZvmB1zp9VKy1I+tEbFYLoDdaNDKBQM6hPIPJ Wtd5V8L+ysy23Vt27t66bs2aNRNjI8smptdu3bJ93/HzDx7fP7kpy8+EEnKp AGB1BLOFXJz76hADGC088VMFu1KJcGVyOocqGs0SLzpBKVmsplm7jSdOckEZ Ih08b0Si4jvFtVLOO1pxxvXngyLESo3VEUilE9FIob23iz8Z7O7q6igEGYp2 +zzxvt7gIltI4Jg8uGckgAUrPUWnxWTQyCVSuVohlugQggO6hMMkFSsNVKrS M7p81frXdr22YeX0WHe12tVZ7R2enF45d+TrO9/c/GBl3qHTmmCMcgVTzdV8 sZDi4p8XBiEuIqqFZtQZKKyYW+43ihdTjm7i25xa2jN+nPO+/N8UZpKt7RRu 3XBDr1qNh7N/un6hVKbQgyhP8mJDqWyxOjQ+0tdVLYUoDCdZZ7SzzbnIV4sc 00feGWHVULQ5TZlAfnSdQWe1mACYwG0GxO0jzCY4VOrpbK70j2/ZsWtu9dRI b3O53FJMJzPFcmvfune+/PrSqYPLy4EAt9G8bl8klQ1lW4oxLuvgu/xZwqrj ADDduX37gEMpWCyICZoUHK7OR/04BNTWLzHwjGceiEt1pnmr59zKn66f81bc M5DLFRoDRHiCyda+oWpruZwPO0nG6Y8UB9sWbYRFxo++t4yVGb2lYpDL9GNB lwOyQCjuDnswzJXMJ3y+6P8bsNwvzy1qnjh95tSu+orC7LSUlJS40IAgb9/A 2NLJK9ZvWL9q3oTO3in1OcHODs5u7h6RmekR3h7eXo62zr7ABqGHjUNM6+JJ aTi6vXqG7smFOXGBQO9bgk6N0TG1cfPz93K0NjIyNreCNehNHIi9KQrYYvQJ icvIyUpLTUtPigwNi41LL2roKfXCFviODRu2dUfZuMYWlqSn5uRnJseG+gKb fiGJWUlBgRHJmckxcanVdbUV5Q1dE9ra6osy05Ljo4DtWi9gB8HU3NolIr++ tb2zd/LclZt3zKwOtjA0tbRyC0vPig3wCQh2tTC3cw+MjAiIrpg4rdwLRxGu ZxVVXpkZ6e1kZWxobmsPHvR3cnFzc3UBdoShJ+oCawhTou9JYTBz9o9KjIuI S0xLjQkOiUpNL2qcMK0c63EQTg2bdvXEO3knFJZkRCQkx8fGx0b4hkREp2Qn +Lp6+gf5efgEJ2fkltS2NFaVl+WnxickxPkBy2kLQ0NTPQNDM6fg2PiU5IzK qev37F/XGWlpZOngHJpUWJ6fkpCU4Gepb2DpHhwfW9A9qSkaVw2m55JaV54S 4edipKNr6e4fBL5K0cYJaLGfK2KxM4OxFQDrwQkf "], {{0, 256}, {256, 0}}, {0, 255}, ColorFunction->GrayLevel], BoxForm`ImageTag[ "Byte", ColorSpace -> "Grayscale", Interleaving -> None], Selectable->False], BaseStyle->"ImageGraphics", ImageSize->Magnification[1], ImageSizeRaw->{256, 256}, PlotRange->{{0, 256}, {0, 256}}]\);
In[2]:=
X
graph = MorphologicalGraph[ ColorNegate[Image[WatershedComponents[image]]], GraphStyle -> "BackgroundBlue", ImageSize -> {256, 256}];
In[3]:=
X
Row[{image, Spacer[9], graph}]
Out[3]=