how_to_fix_your_context/notebooks/02-tool-loadout.ipynb

{
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gyyLmk4EAAu4CqXzokhYV7ubkZojAD8unpaUkz09/XS7sdzpR9QT0rx54sSw1A95NXTXTCSLpJvRJhUDSFi76RK8t1Ssots3K2vxhM99xLfunC74iUOEq45/MLUFPrIcfFYM+hoskNr1gwyK56tNbq1bWwGCHhm3lqSP/nlE3SFUFTOOLyz6+yTVIESiS3qzd8+3D8o/D7ghk8TfFAum8fssq7C0gU9mcO8WkbL4WC9z61d/l84VfOwJjfv1a7vz6IR4+yvDr4d/T3ogrSFG/Tj1p36CN02WhdluoY+kc3HHfDD9KihevAPeT8Yqlf3ntuu3B8U85BXEeyJv0b+c+9+Ehd5ueK3LSWsBxi8e7BimCC/XqjOFySo/jpEujDsHZvEYAAYsAY1RYYMj2v8CRZlA0/WKp6aRPm+oo9sEV7DVdhmzdnz7R/PwxD3kWf9T8MXLz2Htdl6nvw0CFBm7c0rItK92yyfORQOkOezOv4vy6PjrS9B2KdqsWnrR//RvG3CWvHv9o+KxaOz1//a8y3wR1oqXvl02KtgjzkyiQzutXA1O2ZHpiISGQVQLafZC2TgpPD098TvZpu6f0bt49fBbTaRbQ7yQ9P9GSdvF7cf9z5JzeQ51ufqMtz/zsF+B+MvvO4acLvowotNbjvPTjm3JB39Mj5tVkxuuz3o1pd+OXTiZQEZMUCyEgUpnCm4VcgBHIZIGjuw6WQ9LwlMyerfoSpEjhhVFWbu9uojYFh9L9dEkKTzGb/q9Aabk9UFGbrvVUXhALzIDQbmn+hl/dsmtt3sKN7k7hIDpuxfZqjjUUvk2m7QLpvH69noSqZAwd+0ljTkYKbDKDKduCbzNWz8nIMtf2Qv1jwtOeBBqguHyP82XsWW/LRf3OJEjhqVX7ZnI/mVnnfIHld+bUlbPSXtBYfwNrK1cSAgjEJlCewnsFun6K7RywVJoEdMDrfx52p6wr2SDTV82SJZuXy8otq81YFJtk0/bNov2/a9cq28y/TaYVxKpta6w3KfEcwoVpjvrHU9ZsXNY2SGdtq7jV65vkbwFbN2e17VpP5Vm2daFls09lWTJ52y2Lm8dUPL026+QVxLQsC1VfIJ3Xrz6BbkupvPmw7ZN8BKojUNejleLWHTqWHSmTBDQort3D2FKjwoby2gmP04WjDYh84X4ysy6CorxC1wJtNWMHpTvpb2BtbR0tMdZNNCHmI/A/gYpKe8vs/y2V2CtqyRJzY60aFmhS1EgO6rBP1L3eMe5BGTF3lOtyI095UfTJHK282m7+le7YLiXmaWf9obxtR4nzVwe37deiNz+KXQWTl2nrF1vHr/Bj0uMqN/+Fp/wcPoLDTfw2bRusVj+LSMkR0P6q3ZLtyVq3ZWtD3q5Nu8Z0mLub70BSzQmk8/r1HofCHsSoOR32hEDsAl4B1kyoKIv9SGrHkqMXfGE9UA2Yv26CFFQaWomYYQRq2/1kpp902++ZTAgU92/ZRybGMPbpnq12y3RmyodAxgh4PfBU3UJSS1ZdQdbPGgF9MqdhnfpZU14/F7TM0i92QS17ircgj49gP1/nemy2ZukFuTyxnqxz34DP9ZgoC0wLrot2P0uenTrMc/m/7HeV53xmJlcgndev1w0GLSqSe57ZWs0IaAW3W5A616cPwtSMamr2MmXFDOuGrx/0e4IUVh1mBAS4nwxIZMZfW6AiJyf9vc2ft9up8sqMt50HVm1agzvtL7u16GmbTT4CCIQJVKSw66f0f2qEHSyTCFRHINfji5D+lqsjm9x1bU116/i08tbWzU+hpYlscrXZWjoFtleUue6+KN+9ebTrwmR6CtSvU+w6n1YrkSyX9j9XBrTuFznD5HRo2FZeOvZf0rVxJ9f5ZKZGIK3Xr0fXT15BjNRIsFUEqi9g60qtXkHd6m+cLSRVYMXWVa7b09/Mp/Y4znUemQgEC9S2+8ngY8/E1w0sLZwz4fO3UWEDeXDw7dYxSM/ve5rce9AtmchKmRDIWIFUPtTE47wZe9opWCICXoGKHZan+BPZD+tUT8DWHU4dn3aHY7subTfU1dNl7UwSsN5E1bLWQ6k8J/UL3Lt+SuU+s3Xb2qriuaMflA/mfSbfLZ0oSzevcLo63LftADm622DJMf+RalYgnddvhVRYDzaV/c5ad8oMBKopUK+gWDabMevCk+2BkfDlmK45geWbV7ru7GDT1S9juLnSkBkmUNvuJ8MOP+Mmbb9nMuX9fED7QTJi6PPy7tyPZdbquZKTkyM9mnaT3/Q4lm6/M+5qokDZIJDKB8EJVGTDFUAZYxbIy7U3EipP4WAvMReQBR2BMjNGiFvy6xPQeZYuB4rMmCgkfwvsKLe0qKA1TdJOvC3gR8WUnfjYboeJ/iOlXyCd169HgwrTfY49iJF+NUqQjQIbSjfJmm1rpdgEE1rXa5GSQ7AN5prn0eI6JQVho1EF9HpwS10bdXTLJg+BCIHadj8ZARBHho7JuWrbGqk0X/wdG7aXXFNJn+xk/T2TQZ+/HRq0lSv2vDDZh872EKiVArSoqJWnnYNORMArYu/WZ20i+4hlnbnr5jtPrP609mdZuWWNrDY3ZiVmwG590qt5cVPpYn6EH9ppPzmw/d5OXizbTHSZ1VvXyoe/fC4/LJ8qK7eudsqyqXSz6HgQLeo2lXYN2og+YXBIx/1SduMYXnbbufAaCDF8G36YLsovysjDyKTrNxhomXn6W6/jn9b+ImtL1ss682+juZYbFtaXVsUtpFW95rJ32z1lz1Z9g1dL+utt5r28eNMy2WZ+9DcvbmbeNy2tP/jLLAHS6rYe0m5ZJiybLB/P/0IWblzsvLfXbFvn9M3duKiRNDfv7d1a9JDBnQ6QAcbD67Mx6UA1vMEKcR/019aSqYaLx+7iENhStlWWbF4uSzctl0Wblprvq3VSuqPUfH+Wir7v9J+mKwZcKN2bxDY4eBy7T8uimXr9erW2CIcKdBOVioqPyH1VyKQV02Xc4gmi3wmrtq4xld/rnO+Bfi17iw4Gr98D2s1DbUyZ8j2pTzp/v3SS8x315aLvZEPpxpDToQ+m7NKkixy3yxA5o9eJSWvNZbtubQ+MhBSqFk1kwr2BrYJDf1eR7AL6+1e/IxdvXmZ+iy6XDSUbpaS8xHxPbjf97+/8rtSxj/6875Upucf8ed0CGbvoW1m4YZH57Wnucc19pn7292neQ/QzeO82e5h7y9b2A0jinEy6n9RAwNdLJjgDNuv9tn43rTefe23rt5b+xkVt9mmzp7XroSSyOJuauXqOfGwGrP90wZeyfMuqiLF7ujTqIPu1Hyh/2OMCEzxOTtd4lfweDzmN2n//t6b18uKNy5y6lljeF3pN6/Wj43qkKqAfUsgoE/r7WwdD12C/3kvqwwA8CBYFrRbNTuUYFbSoqEUXUm04VK8xDnZYKgyT5aJfzm/Mek+enTbM+dHmtt1S05JAf2DOMRWtH88f6ywytPsxcuWA34pWLiYzjV82RR4Y/4SzL7ftalm0efx880Nz3OLx8n/fPepU8P7J/LDdpUlnt1WSlmdrquvXLz7bk3y2J/+SBh3HhjLt+g0UfYm5CXtu2msyav4Y0ZuAaOmpKa+YCqqGcnbvk+V3/c5Myo8pvV61omXkz6NF31du5Wha1Ng8odROujTuKAd12NsJ/Gk3OrabqETHqNB9PzLxeRk+50PrgHArzA2J/pux+ifnM0krhC7f8wLHJNGAxcbtm83xfyKjTNCziTnWo7sOlkNNcDPR49huWpq8NOM/Mtp8DrY3wdLjdzncCdwmUj5b91pUTEV7t6R/vn4Xfr9skny3ZJIThNTvpVjSoo1L5B3TfN8PKZ3Xr1dgwfbZNW3VLHlv7mgnkKRdt+gTmoHPRB1IUwPFvzdjofRu3j2pp2eB+a3y8MTn5AvzWWwr2/RVs+VVGe587l+w22ny235npKSiLqkHloSNZcL3ZOAwAp/tT0x+0XqedFl9r+t3lP7TbjgePPT2pFRulpXvCBQl5C+B650cmXRvYPttrNeG/u7S97m2hteue/VvhWnlpX/196oGR/XJcP1906y4SdICXSEXTQZMqMPUlTNMV42TnMDfzDVzPd9XwUVubH4L37j35cFZCb/W34BPm9/XI+aOcu1aTTesDznpfE2Hdz5Irt7r4qS8p50NWv6XCfeT3y6ZKI9O+rfzWeZWzEUblzrnTufp/ck1Ay+WE3Y50vqAk9s24sn7xAQm7vv2Eae+wWs9vf/Xf87nrxm7QQNM1U2285HIb/vqliXd6+tn7R8/+XPIvdpBplu7h4fcFVI0fW+9NXukvG/usVaYAEXg95QupJ9vGgDco9VucnqvE6RlcfOQdZM5oZ+745dOlh9WTJMflk0118avIWUJ3pfW13Ru2EGGdj/aPGxweK19MCTYpLa+tj1wkAyPHPMl7/4oYjK2noJt6Jf1+R9cXbVljU7r4I8kBFRAKyn15sgtvXPyc04lotu86uZpZctNY+92vvAT2ZZ+4N9z0E1yVJdDE1k9ZJ11JRvknm//ZZ6g+CokP56JM3udJDfuc3nKfvjfbwIor84YHlEk/TJ+9fhHI/KzPWPIG6e7Bq9u2ucPotbpTpl0/QYslm9ZKX/9+iHRG4BEkz658q/D7qpW4E0Dind980/rjZmtbNpy6vI9zpeZpg/U//z0fsRi+7cbKI8dcW9EvleG3nzcPu4B6w9Hr3V1nt4gPX/Mg9Ktcedoi4bM1wqBE4dfIHqzFZx6N9tVhp3weHBWzK/v/PofTrAleIWBbfrLM0fdH5wV8VqfpL7li/ucQEzETJcMHSC6Tm4dU3GZKwW5Bc6Pfm2aXmi6XdMWTXoToAFDbc2lrcx6mWM6zLRCyeakFd/PmuDe5BU/Ok8xrzdPW2pLBG3VpwF7t0peddDWN3cccJ1jksrj11YTGmh78ce3XD8XY933yFNeFG3Cn00p067fV2e+I/d/7/4evnbgpXLebqc4vPrE1KhfxsgzU1+N+XfOo4ff4zxBWN3zs978pvmbKeNHJkgab9LrWr9n9YEQP6ZM+Z4M2Op3lH5vu40REVjG9ld/B//7mH9Ivxa9bIuE5Os1+ecv/yafLxwXUhEUslDQhAbRmhU12flZb54KzTef93XNZ39hfqETcC80r/W7Qb8LtFJNlz9p1yOd1olBm8nal+m+N9Br458/POM82R1AdPsuCsyL569+zz971AOmVW1quhOLpyzJWlZbRr0yc7j8Z/b7MV3fbvvVa3jc2SPcZsWcp++zp83nvn72J3K+TjGDot+yzxVJeWjIrdDpvJ/Ue6c7zG9yDR7Fm/Qe4SETnNV6rGQlDRT9yfw+1r+JpBsGXSZn9xka86r6+0HrXGL5vNfP97b1Wzm/xwvy8s3v8XzzWVvH+czVB570d3jgs1g/f4vMPO3pQX+Tx5umrZwpr81612mdu8l0L7epbItz36QV8bZrWO+Lrt7rIjnQPGiWjKTvm6PfOsf1XmX06a85AQf9LawPiepDYLEkfT9rnWfXxp1iWTzmZbT18isz3jb3qh9YfaJtTAcpz/Z7p2jHyPydAleY4Js+4BxI5+92qgm+XhKYTOpfWlQklZONpVvAq+sgW5S/umXWitTLRt9crc3oF+fNY+81XdlsqFbFtd60nv7uZRFN7OMt3GuzRjhPSf79kL+YJz7s437Eu93A8rYnSPWHS21Ktr48a9Igk67fwHFrdxFXfnprwjdnge3oU6anjLhYEqkw04rdP4z+k9PFSGB78fzVpvBaGW9L8Xb99Li5GdCn2aqTtOuN0979vfz76Ifiujn6dePiiCCFlkNvzvQHbryVxfq00Ls/fxxxKBPM00f6GaZdadnSA98/4frD37Z8eHDFtlxw/hFdDhb97MvW9OSUl+XZqcPiKr7ewGlFsHYb8dDgO+JaN9aF9SlYvRn65w/PJnwzFLwvrTi/ePezg7My/nWmXb+2J5oVUs+XJu1H/rKPb4q7Muaqz26TV457JKGKBmfH5n/z1/8qF3x4TcK/afS61s9h/S74o2m56qeUCd+TwZ76ufPk5JeCs+J6rb+Df2+us/eGvuB0kRpt5ckrZsQVvNLKtFgq1IL3q5Vwb5zwZLUedgjeXrpeZ8K9QXUesojmpt/z+kTyFT54j+vvo3u/fVjen/dptMOOOl+v9x9NK7PdWvSMuqzbAlqRetnoW0QrfhNN+qDOL+sXyuNH3JdwC1yvfafrflIDbzeMCX0y3quc4fP0HuG8D65ynq7Xp+yrm7TLKb1vslXEx7J9DfpojwradWK0pHUqtocc3NbVcsX7e1wfPr1t/2udp/bdtumWpy36Lvzo2rgd5q1fIH/89C/y9snPxP0wl1s5tCJXW7a7pa9Nt5V9TNe8vx91U9RWL8Hr6/v51HcvleeOftB0JdYneFZCr/W989CEp2WYCThVN9361d/lkA77piwgWd3ysX7qBFLZoiL5NZCpc2DLCEQV8Kr8225uWJOd9IuoukGK4DL97bvHnC5ugvNifa1P3yQjSBHYn7bI0CfjUpG0Gbdb0iea/ZhsXdCkO1CRSddv4LxrkOxSU1mhFUzJShr9H/vrNzFvTiv0zzABP336OVVJnyiKNWmT8uoGKQL70psF/RGvFXexJu1n15a065d405qSnWNpuK2nfR/bkrbsSOTJNdv2bPmfmSd0q3OzZ9tuTeWPWRj7tR5eps8Xfi3aDD3ZSftHPvO9y+XB8U8lzVab1WdTysTr16vrJ30iULuFOHn4bxN63+l76HcfXed04ZLIedIWQae8e0nCQYrgfWr3gbd+db/TXUxwfra+zoTvyYCdXtd/+vL/qhWkCGxLK2kvHnV9TJ8R35l+v1Od9BrW74NsTplwb6CBkuDuTFLhOdn0uJDtaeLy6c5T2MkIUgQsJphx3RJJ2k3x0HcuqlaQIrBf/S195nv6EJ374OmB5RL5m477SX3gojpBiuDj1OCCdr1UnaQtVPXBqmT8br38kz85Yz9FK8900wVkTaRAV2Kx7mvC8inVcnjTBDyTkbzum2aumSOnjbg0riBFoEx6ji83wcPqnmv9bXfi8AuTEqTQsunne+DhlkBZ+Vs7BPReIVWJQEWqZNluWgQKPSq6k92iQiPl+sSgV9J+688yfeVrFzBDOh8Y01Nit3/1QNxfXvohccnHN3re0GsXCMfvcoT8Yc8LTHP2o6RTw/ZeRXfm6Y8nfWov2cn2BEy+aRpam1I6AxWZdP0Gzrk+Ua/BulSkm8beE1Mllf7Quuzjm50BqlNRjsA2vcbTCSyjf7WSJNrT8T2b7eKMx3GRGZND+5iNNiie/sC9bsxfY/5RaRvsV8uXSL+zxfn2Qft0ADlbMmM11sjTOurjVQ5b+TIlf/W2tdUqyuKwLr6qtTGzsgb+zjJBitlrfq7upkLW177tsyll4vVrC6Krqw5QffbIP8T9eyT4nOjN69dBTcSD53m91n3/wVSYRLsZ1y5fdEyMfdsNiPrZoGMMPT/9da/dZsW8TPieDIbSVgcfzvssOKtar7UCZbR5WjlaqqnfTz8n2I1KtPLXxPxMuTdIRcvscL9YuwwLXy9TpnXsn9+Zh0jCB52vbvk04Btv0uDjHz/5i/WJ8MD29B63r2mtcUjHfZ2uRQP5bn/1fX3NZ7e7zapWXk3fT+4c4+VJzzJrN0faNeqA1v1iar2srY205UsiSb8PvFpvx7tN/c59PIaWcTX1+autceJJ2lKlOsnrYal4tqut8m3pLdOdW3WS/q76MIGuMAP71OC1/raL54G1wLpefxO5H/TaHvOyQyCVgYrYH+nMDitKWcsFtDLelpIdqNB+0r1uom/b/xo52QwypAPqBqel5gtCnxizfUHok+T6o+WRIXcHr+b5+vnpb3g2qdRy3Gz6CA33KdlR6vT3PubXr63bv27MnfL5GW85/fZaF4pzhu1c+PVLTgf/c0vaR366UiZdv2qgPy615UO0FLgB2Kv17tKjWTfT736pTPlvFxBerTB0nlYURkvPTX0t5qeHtSw9mnSVNebJM1sTX9v+YrnWtdm9Nqe1JQ1IPHnk31z79I7WLYhWGr9u+nCNZYyUMtOU2pbCP1NsywXnaz+rtqTHbEv6Warj2FSnGwLbtoPzdSyPNqYv3WxNR3c91Dm3iZY/mZVK+gP2tx9eF3Nlt9oPbLO7ucnvbroAayEt6zV3vg/dvi/1Zk3HL2hc1CjRQ63R9TLx+s3x6NpRnxpNRvrAVGJrX9OxJq0k06dM9fzakg7UquOp1CsorlpEl9e+1F8wv4dsSSvVdfBHrWDLxpQp35MBu4nLpzl91wem3f5qMOm8Pqc6g4F2a9JJ1mxdJ2/+NNKzleDzpgWMfo55pb3M50RNpP3a7VUTu0nJPjLl3kAHgNX3nD6ln4qkv8WO6XZYKjZdI9vUisOLP7o+5n3p+GuDzEMpu5h+9fU7UgfNvnjUDa7r/7R2nmu+V+bjHgND63r6oNvDh98V8sCbfm5r95G3jbvfem+sLSu0JfcB7Qd57T6ueTV5P6kBdB0c2StdOeB3ckHf00MGytbze+c3//Acc09/678z9HmvTUfM0+6ioz0wqfcJF+x2mgxqu4fzu6qsoky+WfKDZ4uQD3/5zNQZ/CHk+zV85z2adnMeDvCqBwlfJ5HpeD9/4/mt4VaeZP3+9QpUuO033jx9gO14M4h1vEkDoed+cKXn76vANgP3223rt5b1Zr215vr/xQywbTvneg3fdeCNgdX5W0sECFTUkhPNYVZfwKvroGR2/aRPOXt1C/PwkLvE1uekDib19knPyvUmAKA/2NzSV4u+dwac04qaaEmbFz460f7jRlt03Lj35a6b0QGs/nHYHc4T29q9jFvSPhE/nj/GaY3hNj+RPNsTMF79ZSeyn0xZp6LCvVmcDhaWjpRJ12/g+G/64p6o3T2d0etEucy0TmpU2CCwmvNXWwjpIGh/NX2R24JuWgEaHjQM2YiZ0B/9tvdB8LJ6I6IDrmlfroFtar+o2h3H45NeiHocui2vbuoC+9K+Q22VdRogeOfk56yDR2ofs8PNfO16RbtdcEvPTHk1pkCF7f2q22xQWN9t0555XsENDTx5pX8e9lf5h3GZtnKWVJj/NGnw1/bDWYMi+iMqMF8Hkw6kQF5gWv9qZcqf97sqOCvrXuv12aFhOzNA32gJBH50QHHtbkyvu/ycPHOtr7cOily3IHkB1I/MOBLa969XUnMdP2D/9gOdAQbDlz26y6HO4ODh+Tq9zFzb2RKo0PJm2vWb6LhQ2oJBg0mdG7U3/Y//Km/Mfs/6WfW5eRBC32t60xtL0uvW1lpGt3G3uRE+uuvgiE1phYx+D7St39L08f5IxHzN0HI8MP5Jufegm13nZ3pmJnxPBoz0s0X79PZKN5jfnmf1Pqnqe1KX1UFktZWxVt7ZBhHVwWD1c0MHOLUlfYL+/kNvFe3WK/A5p5VDtidq9frQSii37wO37wK91vZps6ccFSVgYitfuvMz7d5AH6rQgWMXmCfrtU9r/b2/Yfumqu/mYC89V/owit6j6O+FnX91wF3z2szTQdA1T8cl1N92+gBDs7pNgjeRVa8fMfdfXg/a6MFoywUdk0mf0g8O0AYOVJ/gd+saM94WlvpQwLPmPWVL5/Y5xfmcDf88124EjzXBok7mt8f5H17tel51m3d8/aB8fOqwmL8PbOUI5Nt+n6bifvLv3z9uPU/6ufbokHtEWziHJ33w5bHD75Mbx94l2q2yW9IWJ/p5GE/ls9Yj2O4RdB9HdjnECegHt37Q94wG+u87+BbnQUW3sujn4Yg5ozwH1tbP0teOf9x05/mkLN2yomoztnEo9HrRcrh9/urK4Z/BunzHBm2de76qjcfwQu8PdWysV2YMlxlrdra6zZVc57NCf//q54m+17SlnNt7Ltgqht1ZF/E6L24r6fHu326gM/bE7maAdS2HBpRs96QLzdiBM1fPkd7Nu7ttzpp3o+ldwPYdGVhJg76X9j8nJBAZmKcByTkm+Hmn6Ro8/PNGW3nceeANId/3gfX461+BVI5RQYsK/143tfLIvCrAbD9mEoF6zmOgUu1eyRakCOxLf2DrAL9nj7zCekOuTzvrTXe0pBUEtqSD0l438FLb7Kr8i3Y/S0rMIKq2LmZeNk9W6nElK9mir8l6kiFZ5UzWdmwf4oXmOkhHyqTrV49/ztpfRJ/MtCX9AfePwXd4vq+0slKDblox77atdjE8If/Sj2/ZiuDk6+eLDmLmNjCh/vg/f7dT5dQexzndKukg5V4p2hgVWuHi1TfrHQdcbw1SBParT93pwHAHDRsacROgy+jTjdqMfVCb/oFVXP/anljThRsU2FtHuG4sSqYGfLySVmqHP7GjY5q4dVE3uNP+KRsY2quM6Z6nlTxnmwC1/rMlbYlwyGunuM5O1o2abtzr6XZ9P2mAQlv16Hvclo7tNsRacRJ+c2vbRqbkZ9r1q79F4kn62+aGQZeZQFjbkNW064/zP7g6JC8woedIb6q7Nu4UyLL+1a73Hplkf/DinoNukqNM4MorndbzBPO7ao6132/tpuh2M0Cn1+9Fr+2na16mfE8Gjl+/L70qYzQo5/V0q1Z42gIVuo/ppisUr0CFLqMVbvovkOas+8Xp+zswHfz3jROflA6m4qu2pEy7N+jetKs8f0zouHda0epWcdvLVLrrA1+1Iel7yKvrtFbmgbVb97s6aiuE43c9IqLiMBE/bXVmSyfueqRcN8j7nlJ/H+vn9M1j73XdjFaSfmvGl0lWq4qaup/UB34+nj/W9Zg08+VjH/ZsiauBnL8f8hc55q1zrQ8PaUuyWAMVU8yYLG73OoECej2kqMsc0flguWPcg66V9Tp/6qqZcrYM1ZfWpO/pp476e8j8AS8e5Xq/cYvp1eEUc39UE0mvwf875E+eu9KeK9zGBvHqmtZzg2Ezt3i0CA1b1Ak+6sMT+l4PThqE0IernrR0xaXfkfEEKn4w49W43SsF9tmlUQfz3r3Zc5t6HWswTgcDDw9U6G+9bWUlUbsfDuyPv/4QqDQPHqQqMUZFqmTZbloECnLtgzFHqwCLtcCLNi2N+HAOXveS/mcHT3q+/n3/c63z3/QIQARW0si2BjRs6aLdz/SsAApe79w+vwmeDHmtN8ha0ZCsVFM/LJNV3upux9b1UzoqSjLp+g242p4YqZpvnlKKFvwLLLvN8uOwXYM2gUVc/+p7adjMd1znaaY+tTfCNMt2C1IEr6SVxI8fcZ+c2tP7B7nXZ5VuT29cbZWw2krgqK6H6GJRkz55d1qP463LDZs53DovMMPrszOWliGB7QT/tVVMbzfN0uNN2jrALSXrhsNt29meV+IxWH0yAxXaTNwt6fl/3VQcnmO+d2zXQmC9Lo07yq5NugQmQ/7q+zLbUzqv33i+g641Dz1o5WF4kEL9d2/Zx/Nhhli7fBk9/wvr0379zT6iBSkC18L1g37veV0l2pIksP10/M2E78nAcet3wgvT3wxMRvzVpzG9ghS6glZy6cM0trTcjAMXb1pfstG6Sm36PsiWe4P6lgcdbL/jrCc3i2doCxNb0odN3h3675gq9U+wPEwWz2e8js1lG8hbf9vaWueHl18/p23f2bqs19hI4duKNl1T95NPTn7ZWhQd+zGW7kL1YTxtyWBLsXQJG1j3MdN625b6mSfyb9j7MttsJ19/d+lDILakLd7iTfq5Y7tvybTPX1vXTHqdJyOtLVkX02b0etAH4MKDFIGVzzMBfVv6ddMS26yIfH0I5K+mFYQt6ffx2yc/6xmkCF7XNog9A2oHK9WO17aHcZNx9AQqkqHINjJGwOvpQK+nguM5gP9n7yrgrSje9tDdHZeQbqQRURBpEFBAbP92d3d3YXcXAooBoiKNtEh3d3fDvd88q3u/vXvnnY2ze86ee9+X3+XsmdqZZ+fszLwJc0iKsDHzorF1ekorMsA2tGzAVNbR31vnCbhmokjlHoEqC4ZPL82mBQG7giJqY2m60QnqPlFph/Lxr5uvYfU9SvMXY4SZ+cT108jh/k/6eoWbEbe07fBOZVFqE2gWXrJzOalZhDLw1+rmIIKymMcPtr1VK1yBBYaOhi79hcyGj3Uvv5XLGw0k25qlsWQxKx3RBIXTudsz63v5pH4rujb2Ht2vzC5o8V+vLJCNE49KCzqKgjpQwhcudWiFST+0t9wSNODtAg0cKJ1+127bT2S5RM5ft1Z90KK9tCF9YAZ+XaufScII395uaNjSkWSxZzQMHmslWM9+Jpno1NzDPEo2682orJMmzsOXjSTXS/ivv+7US82i2s9B9c4h83WMTqoSJfRD+SAFsNT9o5KeLGeDInnVriMpJmJU8A2yH7pzHoR9bs8JUEqBgNZOcCPjlhBPiKKHT7td6XJKVR4CZ7hvo6hUweDcdMXjPAkG/M8r/1AOB8LWKxoNUubZE2HJ+v7cL+3J6d9LunRfhgDT1Jkc6xus2dycEQbWpZWY6pSsmd4vtxf7pSs3ioISAFDte02n3MwG1c9dh9UKVNZ+4jk58WnQH0qgv26fe0HFzM1zyVimEGa+1fkZT/si6ncXJtPaih1fRwcBai4E0UMWVASBIrcRGQTyai0qjgXSzxmb55DtOGlR2ytiIzGobh97cvp3yk+zWUDHZIQrBpUfU7Ou6hMxACiCiWFQhE2finK4iXasqhjxNJUfTHTZrzZ6LMON0vzFOMasnUQOBxu0G6Smkhfaf/SAsng5GXBQRzBFpwibRD9+qp878wHDEkPVru5dhUUfwa4pOq9OTypLmQ5mbrNyjZR5EHTi8KQjakOPOn414xAnQUU66w1VeaTtP6Z+5kHGWqDunazpR0/Q66FdIOB3jDqrIfhjRrBmtwoEsGR6t8tzhi9yWBTBT/eH3V4y/A777V9U6iVy/rrRtm0tg7bCTY8Twac8RW4sKvDeo2J/4Z2H+F46wlwaLgUdcGmm87F+vnQNlWwUlXXSxE1nfQhNXjdMMrR1vtxzquYgXD61reheQcHsF+JMUZSd1oNkORsUke9yFR12iFWlqpOsaTqlFVjM61y12McMC0UIlWH1BjeDsGyAKxe3NGHdVGVR7IGdgtujIvo6YMQ1MhbDU8p2kAgFhdolTiHzvWbE4zy5aMdSUvCN953TnglKG6/O+kB0GnK+NqC2zrOBFZdvF9Mun3GOx7N3Q3Dhg72UnXD20vED7OXN7/r3bzCWCua9Yv08SrxjghJo64Tm6Psj7W53tDo0x9isvPr8tm6ve0EFhIcUvdbpCVGmYCkqW5lOMadTpfsnpuyFQJjCqdzZC0oebVZHQMf49cMAs+MFkza7Tz5rGZ0ZpbWc9bqKDDxGEQIl6VwdzNkyn6oqEGDYKyEAK0XoS1BELXBBtR+ldighBfqoOqCH2feozV+MFcHCKLqx2f+EVxcdFN5lC+oFFct30dpfOPi5ZbxYx4LNPgJuq/zI5pZaTxTpNNFwAIXGqlfCe4ZiAi6WQhGd1cphjfY9/JUGSdTz092D8pNeKHe0Dka6McQ7DzGJVOR04FbVodIw//GOo54pghq/Mftjw8c8XLu1lLFSSshYMxQh/6veb1LZSZueyPnrZg161sHXswk8NH8hFN2qcNlDWY2YdfE5d9sikhmEoKAUIejyN4t+NILHU3PNrIvxIiBtslFU1kngtk8KhqmAqVifvPieB1Pog24vivsnPmtYV+KdAd/pD552q+e1H33TMYf8rOFoMxkpWc4GRfKxRUVKEfrcBaswxODCe/Xsau3FGZVbC7j10TFTIVR2I1i2z2tYos3foVZI0ynqQAgNAfE3i0YYcc/s7dq/P9D2FntSTN/jcZ6cuGE62UcEQFYRzlszNs0RX0r3qpPW0/XNuggI7/bdqbNCv8bj+gaFqvsmPCMQ8wIEF4tI88q4Rt09UiBDkW7OUnXCTKfONViDgqBdGqF5F2l9em7tHq5vU4FwkYi4KW7pjzUTlUUxf3XnP2UlmUgxpymXUFQ7nJ78CIQZo4IFFck/P3gEFgR0minHUmkNUksT2ssN+zeTB2loeXq1YMDNdJreOxzcJVCbSrRby4fGSrF8RVBVSW5dNygr2xLTCIsKW7Es8XUf4ZYGg4v3xi1q8xcY/LN1AT6UBBdHXkin+V80Lz23cQ8dg4M6iLjpG6UxrtM2n7dtMdm0H3cYaKx8YdoX+I7Du8j7IUPn+klbUZNpMMQVijfHNLETVM1RTF6UDerAobpvsqdR2mRuGNdexl5HauzNkwxoisBYhk9s0y82XBAiuDsOThBMeHGlSN0jyumJnr9OPrEhQHKrnQmcIWhSCSrcMJOmaazaWti0PuFL/c+1k8WwJSMFBBVu6W1plaMThrltJ97lorJOYtw6De9eNTp7hgaM15H9v/BcT1VhNxGjIuj3mureUUpLlrMBFaMijD1HlJ6PtS8Q7mE/RLmqQ1m8U79a+L3xh++IXdFGWhy1qdjMWC+DiNW0QGM1AAt9K2HdmiSZ9yOWj9ZaCFjr4BqxHLCuB0nxOE9OJRSqGklLT7trrmW7V4nfV40XQ6XwBpYUbgj8gzc7P+2mqGxzPxmMG+9Sr3MBAgnESAiCdNbZQbkUDaKfaIM6awTVT+odht/6/W1u9jSM0gVLKstj/4z3hpOC0eo968i56NUTiNmR1FR1AGUE/2bKXghQQqsgUGBBRRAochuRQSBfrnxkX4KwqNh+aCfZfmWHYL1URZ2PbR2TG+3pmBwVNIxJqi9IxyZHtbk6ePyQrpqnvFShXuA8NZIkhfdpfHbG20921OYvGEyUBixMkr0KcnRz1Mntw+6japcRYHbHwvCmDp+6jSWYcBT5saZAW+U0FiUHjtNxblCXErYgzy9Rc18XO0F1L90z5xgVKsT+TaN+dzoBGt0anXNf6xvFhT/fSBew5WDtgeaXqf2F3x4EF9Co71ztDOHEWLc1F/mvUZ+/A+r08oRhqfwllOWp96C1MBU8+d89Ug6xQLqfHCOFE3+smWBo31vrOl3jffu29MHcnHCh4FQ/kflRWieBg866o1PV0xMJFekGMOhYSgkdpIubJ8vZoCihHJWdmF0Qot146uXi9dkfuXiy/xZBzBpYMeAPhHckhBbn1Ozq+x2n086GuyZYUY1b95f4bfV44eSW+N9eZvwfQoowrNnicZ7cRpz94aIOClKztswVY9ZMMlzZ6uJGZkTk3294dp/1fM21AF3nvreL3CMlkig3luhToYAsFYIaH6WsUzBP/kBuQe2xEXfRq7JE6QJqQQU6CkUzHR8JZdbu24APJbWr3EqZ7pRI/e7C1K536hPnJwaBMIXFLKhIzDPlu4aEgNaiwqOmrqqLOsGBzoWTqi0zTbcAwcSeIt1BBMIGihFItWemoz8qQQW16Jr1vHxSkvgwX3Ze+hdk2X1EzIREaPhFaf4CY507MQQR9Eo6hrqT0IMK4uz3d232/XjqcfMyw6cutoPOTYrf/pTVxOig4nqYHabiSSAfmtJ+3jXU+L2+Z3QC6KgdjEw8o/BJzUu7dmCsfa1furZ4sePD4qGJz5NCSd09sM6Nl36z8ffY5JfFABn88aL6/VwHtte1HYW8KM9frFHtKqvdWlDYUQdwN8FxKatNaBO3/Ly7VuOY6g/SYZ3z5On3CEorUVc3CnlRWieBB5hyKsJ8gavDRBIl6PZj7ZzIccRy72Q6G1AxKtwINmPBKGp1L280UBw6cVh8OPdrX13DO/LH5b8Zf2BaItZBP2mR7GXe79QE/+057FLhlQFvDgTxLV6SewDEmQqD4nGepCwFYFGCP78EF103N7/CU6wt6v2LPvhlOvvtv72ebj8Ti8KX/T5BfD9GnM10LsTd3peKm4L65QqWcdtMejkdnwgKiE6Ciq0H1cpvsJb16l7Z7BRcxalIN3ZVeU5LfgROhmhFw8G0k39+8AgsCOgWmKMn1QxDS3XHS53/Rb8MRGiIUtrVlGkiOqoTYlRyCDqpG6jO/ZOunpe8VOm7U0VZ0behSuiDsSdCwy9K8xcYUG4akAcNLq9EMV/RjpM5bz7pX11FxRxcRqnqWNMoAYgutsMewroD7VbxEZ8C9Urko33/OwkHdIIIv7/ZXDnU2w/dQQfjsBN12EA5p2dubys7fff73PxgBEuI0QO/lsE4z/JTPb0O5ikCcHcferG4/vf7BMXYTq+QBBeJnr865QAIi3W/fRW8lMWLzi2f2Y7OBZ0fxiV8fn8qNVXfke6eklVIAWyitE6iP9TvrnKRishOKFHKCvk11tYJ7XAIN0+mswFc3lDk5p1B1U22dLxnb5Ix2Yb0edeIQRFL/yG0QPynM74+V7w44x1BMRTt99ilcTXsR0gBJuiT7e8RowZ8GZqQAmMI+zyJWBNOe2Q7lk7fsRf6VeKC+Hc6BUtVO9sOBu/ZQXUfP2m6/UyBiMWMO0m4LsLzjpUOS6EjRX4ENiUL0MHRt2os8M0+bCfK+OVboV3KnSeVbvaFP7MeAmEKp9iiIuvNl2w9Ip2Wuo7p7xY0nVZgRZ/CARysqEO4TtKt7Yv0X+qXdNrcftu018spQxOrKEyprOp+8UijDvWUb94w+6SdM3GevxgnJcRBXgl5yPFKut94vtx5tc1RmsCUOxJtY5ZMauOuYxTrnpNfl26637WT0IwSpGKY//5m81hG7O4yZ061oIJ6F1KtUoIglHdy90W1mR3SKeZFWMwh/L6ePfN+8ZAMkvvTit/Fr6vGaWNXOD2DqRtnix5SYPFetxeM4I9O5aOan+j5qztQw/1eUEQFb7e2v4eIL2At4+YabsLgXiHI/ru5b1hlorROYoyUxn7FIuXCgsB1u8dOqGPRZae1QLd/qBixs0HRvOpg2njg8PEetIWf64mUoIJ1StYQn/ccLDYf2Cq+W/KzGLt2itZti66b2EshrsV46a7py15vOrqb2a0J/qu7jz0PcRuubHyBOFPGtYhHAPuwz5N+hDR2TPAd/IlB9fuKi+uf6ytQtdnmjsNqQQXa1/EMzPphfuoUjbwKZMLsJ9o+kaa2CNDtydz2iVojUd/PO00XJ0znKtjs71bCdRnles+sp/uk4hJkRT6ODgfOEyJMd18sqOAZlqUQ0FlU6LSt3YKgi4Ghc6uja3+jDNBNkU7bKL/clFDk5MqFqof0zQe3KrN1QiBlBR+JWVEST2k7lCqg9uXtAzbXVaI0f9FpnYVHwdze/YQeP6neeOJeThpRxQmLg+3EoQBtuqH8udTj0PVHp/35rw9Y7wwhnY9SJxdJOtdPELQWcAOErQzl+snrJlcnnNLhaOtOtvtKCSqCWCd1YMIVxQX1+hp/mDt/b50vJq6fZvzBB7YXwm/o2tH3iGH9PkjaoNuJnr+Hjh8hIfdj1UYdXqnAktab58nl/0iCvdKl0o3G+fXO8RxM1NqHKF5HaZ3UMWAqF66QcPjYokIywpLobKCLI+VGuJnwCRdSBypIxaFbW1xl/MFCBsGcJ8h1csqGmVoFH1V3EM/iilG3S2uN97Ta+7EwkqHM0rtGZwEXVtV8WEOr+h1rWlDnScpK0G3/EFfuqiYXiG7SiiIIQcKuI3uUt9a5d1VWCCExCCZ/CN1SNkm5DDtCCLuVjRCJuthjOmt6ojlRRCPQdaNM52b/Rd2bSqfw01npUm1xenIjQFm1BTEq/6eCIO7ObTACASOgWwB0kn633SgptUIp2i4DGvmhdfs2ktVqlahO5iEOBUVuJOyqutCmpQ6isZgIZrpXDrVFBXXIzFQ/iRK2Eb4hEyGoiNL8xSPUaYpSlgi6R79yz1oyG2btKRrXFJRFBX4PYOr6Pazky6W2NtBtHHXWJPBHCq07r7R27waySs3i9HsGlXLLQyhFe6UWtE4rkqpHCSS8mpBS7eC++X0Iu6j+Zr109TvYq0VLLLjg0N66wqnG392trhc43M3eMk9M2/S3mL5pjkAQYSeCsOKpvwaL97o+71Q0kvmJnr/wix4kUePRaXmb9y/q0c0emGMdpXsqBPxuKeeRbv9n3iMZP6O0Tu48spuEMK+D1SJZMcAMStCanSwqkulsUFgKrik6rBGiUnWyYjr2V7ASwx8I57uZm+cawotpm/8WOw45nz1X710vvl38o7i0YX+jDdV/OmaoqjzSGpetL9+/PUXnamf60hSn2vWUHvJ50im+naqvcO/TRwY2P09iE3TcHso62k8/VX2PJe0E4as+HoqOsfTbWpeKc2Qt43TtZr/j1IY9H3NKxZ+heAzW+tRZSCdQsdZXXVPPmlJWUbXBaVkDAUpoFcToWFARBIrcRqQQwOFVxWw5GoCUnGJmAgAwEP2QTtMZPpYp0vk53OXThHf9flqjVdcXqo9UOsVQCEoDhrpvItK3HtquvK3OlFNZIYDEKM1fDIfacP+bt8/ziN/953Oyzg6N/11U0s3vFbvXBO5GRLdB1Pkj9fueWbNvPYlN/dK1yDxkFMpD+5EG4yqlqHff5NTGxqsJKWWZgX5T7xnkZXeiBG/U4SMeeMHa4oyUNsYf7gfNwR+W/Wq4wIDfbYqmS8EGhOx+TOqpNuOVnuj5qzr4mmPXWeCZZeyfqr0XyrjZfxXNR7uBsd7HZI6dLWOfRIE5Y+1bGNdRWid11rqU26UwMKHazJNTrRig+51RbSVrejKdDXQxcMJg9iXrM7X2u2zB0qJnjU7GH9JXSQUduInCWqmz1B2+dKRWUOH2/VtJug87t3YP0adWV6EL8mvtc5jX1D4vyPMkGO06bDE+U3B+Xu2eonXFZqHtP6nfhZs1NszngLZ11tdh39tr+5T72SNS+SVW0rk801n+6+4LRQ7Vfk23NzbbowTCfj2BoN01UvipolQZNYYpeyEQ5jNnQUX2mkvZYrRYKE/Kf3Y6lhr74lNTY+Ggs4yw98X6ff72JdavGa7rl66d4bv9CxiEKncZ0MCDdYJXM9OFO5bab5H+XcfITS/k8oJikgW5sXTZldCLUYHP3B4Kguxg1Oav7pC6ab/aBRmFB5iVqt+CWX7XYbW5tJkPzW6KPp7/rXihw0NUNpmO3+A6QvhHxS5BY3U1FhN+3zOLdixX9hNMDZ0GJirpXNDtJszQlTezJFJaN15NSHXxNcKKt2AZRtJeUlYyFKM5EQOFMBe+rvE3af10cdvYR5VKCOjbBulCMWjNxXiMOdHzV/cboeaIDhdqDddZkJntlcpPu0OsUbya6Fe7m+ghGXSJEPKbfUzEZ5TWyUJ5aQ34WN0kBoEttedVMXiCuF9U20imswGlXEYxZKOKeaL6dUrxquK+NjcJWCV+suA78ebsj5Vd2XJwmzLdTNS9f8GoR3yFvtJKoHrxKmaVSHzG4zxZRArRjxKWKzg79KvTXVr3tTPiUIQNCp7FodTMlpA6a7ew+2S2T+0ZEqkAY/bN/pk7h5oFelQqvcRK1JxEuzrFA9194YVB9RumlCGtbVHr9qq962RQ7DTPQjX0gxKQJJOwyooRX/tHwKsnBC93Ukez9NICl2UEIoYANr0qCsL1EzQ+yxcqq2peLNm5QuvKRlUJG/E/105WZRnaGZWL6H3+tizfVFkXifD77ZW+W/wTWaWBg9CErKjIoA6TWdG3IbWJ0GmpKyALJClq8xeaYRR5mb9grj4z9Q2qKSOdCkBnVipdsCTJAPt99QRX5vVmW+bnh3O/ElQgPt2h4tRyjcwmMn3+vmZCpjSnhNlb5pPvprolazpVF5Q2DirqBC5Uw3Cl5YZxSdW3plMHI5TRuQKztpEdr3W4BSmsgJXeuHVTjMDZVFwMN/i3T2ktOlU93U3RpCqjew7gbqb7AABAAElEQVTxmL8Hjx8k8aL2UmQFmXFCvotVdFC60HOihjIIK0VvdXlGXNzgPPIdTdUz0yHE/n7ZKOlabL5xMDfTk+EzSutkSpFKJGRw2RYL4dl8sXCYGLF8tBFM2E9bFIOI0v70c49kqJNMZwOKsZVdBBUQ7i7eudw4C8J61y/hfX2VFOo7KZ5Q7esU4x5oe4u4vcXVvoUUiK324/LfjL2ATjhO9U2XHo/zZP1SaqVBYP1etxdEt+odfQspEKfre2kNs3rPOt0w0/NqSMGUinDWQDwSvwTvDnAP9s3iEWLRjmW+mqEs2rCndOOizNdNfVbKlVPNAg3ivaPb1+lcOeqGQrmLdhOjogLBt8JzWb57le62yrzfV09UpiPRz76RbIwzkgIBr54QvAxK/Sv10gKXZQQihgC1UAYV5Om0Si3IEete3qpKv64aS2qInlKsitCZD6K9tpWaq5o10n5ZMYbMU2WAobRIbpYp0mnjU3WodOowGUWtC2oMbtLTRBrJqNYxf9207bdMlOZvtWKVyWFM3zxHaeaqqvD67I+EzoUa6mwntKGs7XU7paP1a4ZrWFV4IQgu3/vnS7KKzmKkWL4ipEAUBxGd5Yjqht8s/kGVbKQ1LEO7lzMr6Swq1mhiX5j1rZ/ApdewyxzN6K11dNcVCpUjs//ZtpDMy+4ZlDYZcAkiiCmEEjf98aDoLZ/17X8+Ji4deavoMuQC3wdgMDdmSb/cFAUaQ4m6SQjpiZ6/h6SyBEUUA5Eqj/QTaSeU2W7mVOMy9ZR1kThx/VQyzynjo3nfiN7DLxNPTHlVXPnrHeLsbwcKMM6ShaK0TsLNCuXqD4wyvwKB56e9ZTybl2e8Jx6b/LLoJZ8X9gBeiXoPwI0cghJnF0qmswFlVRYEwzDqzxuuPLt8d4G44KcbxJ1jHxf9R1wtLvnlZlKxxGk8YHZTjNCqmv022kU+xWSEsoFfmrn5H9Hhm/7i0ckvGXuBdl/1EQs0ngS83ice50m4G1QRsPa6HzfbAZP4xt8fkIHO75Br0yui3w9XGnsmM5/6rEcITVB+0obpVDVt+vh1f4k+w/8nnpv2psC7+MKfbxQfynXTK1FrA9qZu32R1+ZCLU/tgYN47+jc7+2Rc8YPlSlYSlkN84gKsG5W0FkbQ1DmhXCvt/7+hKxC8eDICpyR9AhQHhKCGBgLKoJAkdtICgSc/Eu6HcS5tbuTRYcu/ZnMU2V8tZBmILpxtdRBBpKkNpYTN0wzgpOq7qtK+24x3fdyhcqIvERQYFVbTmmU7+tjAfiGdLp3PPN12uaUKWbY/YvS/G1fubV2uG6sBxB897MFQ7XtIHPFnjWOZa5oNIgs8/WiH8QQjcWRtSKe+1Wj77ImZbpWmfBaC51Xp4f1a4br4VIz2C0hFsaYNZPI4g1L01rMZiVYm1A0ZcMMKitDOjABA2rQT9crzZczFPbwBQcCqn8Yd1DvfQ9dSoqiusC3QQQx/XT+d2KybW7ggAPhBVyieSFYQ949/knyMFa75CmBrk9e+hZr2UTPX12sHJ3LIWrclNWMGy3aWvI5UvuZj+cN8WUJAQ3RN2yuUDAP7xv/DDWEyKVHbZ3UWeG5WYvtAC+TGp3Q4rUSmC/Xjr7Hs3ChcVla2DVypTflHWt/ku06mc4GVGyhoKwuo/zs7h3/dCZNc7gDfuqvwZ67jSDb1/1+H1mvrUbJDpWgGFe/lDpe2fh1U33t2yCQQJ/wezbJYNDLfYBu7THLuvmMx3myZfnGZFc+nPc1mUdlwFXKXeOeFFM2zsxQBHumrxZ+nyHN/qVuKdoK+ptFI4RX7xHYjz0w8Tn7bQwXYl4s29GAjm8BS7koUb7ceZXdCUJQUTxfMWXbSKQEiWSF/zIqFS5PFnFSENApmv66ahzZrirj4YkvaM9VOmsSVXuclvwIhOkNhQUVyT8/eAQuEQiKCQ73BGDcq2jZrlVi2NJfVFmZ0qBtvVLDPL2wQb9MdewJMHntXaOzPdn4js3gw5NeUObZE2dIjReY3FN0aYP+VJavdEroEYRvSF8dCqnSlgPbyJbhhikWgnYgDgEwp4bbo1vGPGwwX5w2HVGav2Aw6szUn5Xj0pkLQ1Prmt/ucQXjUqnJ70RgeHepfiZZ7Nlpb4hXZ75P5iMDvvTP/eEq0pLGrAwG+h5N0Pt+GoHop/OHCDcuAvAOwLygCJYSZ1ZpS2Wnp6cUqUiata+WAdVmbaE13WHp8sL0tw2twbAOKo1Kq5lTOBC8NvOD9HHwxf8jQLlLQInDJ4/8f0GfV5Q1C5jEXy4c7rpVrKnQhsfviqKzktwlVCLnr853vx9BBcUkccN0xJzsXPUM5WOGYHfIkh+VeapEMILe/ecLQ0NUlW9nEKnKRCUtautk07INSGgQ0NcudCALywwwye4d9xRZZKcLS0hrZZ37sJdmvKvdT1jbSfbrZDobUG5JgmAYRv05UnEB/1gz0XAH5bb/v60eL7oPvZj0G492zpKKbU40sG5vsohX4QmY3JeNui2DkMJsHHszv+6FzDbMz3icJ5vIdx4VGwlnsOW7V5vdcfyEgOZmKaihrFR+XvmHtg2d5SH223eOe1za8qdp27BmvjD9LdJ6feMBb66k4J6IsibAHk63j7P2KR7XlOZ/EIo6mJOU0sVuzblPN24EsafISVABfgPFt5q3bZH4SiriORGUUHAGdto75ZJxYpmyFwJUbLogUMgdRCPcBiMQJQROpv2/5oa1X161OK117ddXN7mQ1HjBZg4L0VWyDOW6CQe5d+Z8Zm82/XvX6h1E7RKnpH/XXVzWcIDh01dVZuzaKYap7VNn3CMoxjiY3ddrtHCwORtUr4+q+QxpYFgOkdqLCGqqIizc0HxBIDCKYblL4oYNN8piEwGTcBy48srrvLIeJPVoAwxltBN12io1nCgqnKdQhixsAsC83nd0vzF/dh/dKxnZ+wxmNph7myWjBthukhtHzC+rhpK1odGrx4nm5RsJnV/rKM3fe1vfoNTmwZiAxw1/3C++PecdGewro1z9uyU/OcalsOKCtoAjddgwy97R8hrDVzCFLzRGx6ydJFpXaCZxbiyweURwtOWSofrXxlnCixntYik8oVw0lC5QUpxVtZ3Ab1hFF0nT7Jc6PiLgu19FOKjgwAKLE4oQfNHt76hpuYYCActVdO1v98pDcDvRuuKpokrRytLN1k7DFddvq8Y7uuRStec1DVq01KEP71oErr+26SWZ5pD1PmCwzpCuRuBnHRqel0h/+DohmrVuMl5TaxPGEjaD6N05nwtYdunwhYDyy0XfCwjldIT5G7QgXXe/MPISOX91Wq2USxYdBtQ+y61bx0H1+wisYSoCoxkBX3XCZNRbumuleGji81rmEcVMUd03CmlRWifPq9NTvDXnU5K5BdchxaXv9u6nnKWFDpYUd499klwj8NuuVjxF24Y9E0J1MIhU6zfSLht1q3j97CcFgrPrCK5QJ66bJhBstENKW3Kd1bWR6LyonA2sOOB9g/0BnhGeL/bzxfOrtY/dxLWxtp3VrnGW/LL3G+Q5EuOFIP9t+VuExYOO4LoIzHYn6iLPno9JN0Sq3w+0/V+Z+Z64rcU12uC7WLtfluXg2lhHlCsb1InieXJA3V6kO1dYfyFWRa0S1ckhY0+O/TxcYFGx61BZd3ZDPtz4tK7YjNyPQxjwzNTXxb2tb5RnZprNB0WpJ/56lTxj4F6tKtBxMJGvIlhVQIlMRXeNe0I81+EBI/C4Kt9MgyBrohzHPOkuqpp0g32hDOSu27Oa9YL4PHTicBDNiAK58yuf82aNAqPuxjqLCjexSeDa+DNp6ayiF6UyWXMZG5Gy1oEg5OYxD7lyc6abc6p7c1ryIxCmoCKHNNdwL3aNAJZzpc/py0belt4TLL6f9xyc/p0vGIHTv+qrXByqSgbaj+d9EghA2HD0HX4FecDCTaCt3K9Wd9GyQhNRvnBZcezEMTFNMsL+2jDTkZn5x/nfCt0mzj4I+JWEiwOKcCiApmLHqqcJHORy58ot5m5dZDBW4SJKtSk123r5rEcdg5iCOXH6l3205oBme0F9XtP0YnHDqZcF1Vwo7eCZ4NlQRB2oqfJu029sdrm4uslFZPGozd9+319hHEyoDlcvliLubHWdqFi4nFEOwgJogXglBGRtV6mlYzUcsO6f8KxjuVgL4BnhWVGEA1/XoRdqf594r/Wt3U0gEGIZKdzYenCHmLpplmTc/6XdVELA8kv/z11v/qHhd7c0VQ+bsFGGYMoL4bA+8MdrtVWAU/+6PaVrgzrSF3MlQyC4Q7qjglUbXETZBToQEr1y1mPaNqOWCeYa3NxAS37rwe1aVzlgGFHux8rLwHuUYBs+6ivI3+FtLa4SpxBBHYELfM3rrPSgJf78mQ9mCM6JgzMsMb6R701KKGbH/N42N4oL6vW1JyfV90TOXygpTN04W4nX6IFfkbFylBVk4kU/3yQoLeF//qfXFDXbvFD6a9fFy+pTq6vAXz3ppgTMAFhPbDywWfwtgzF/vmCY1lLVvAcCc98l15RkoiitkwhMjpgfOoK/8gF1ehvMu4pFyon9Rw8YShbQPoZbR8Qr0hEUdp7v8KCuiDIPft+dtD4H1j1HNCvfUDSQ6wEEcjsk8xyKJdM3zRFj103OZHnxQ7+PMryrlDeOYGKizwYmJNhzXjnqTsezj1ken9gfQ6EnjzyvwJ+8IdiQ7lqgxIS8IjIP7uL+1+h8KfQuYq2aNNfn/XC19n3Vu2Zn4z1lCvWBIyy1oRQDy0Qw9N3QkD7vijola7gpKt6U/uc/nEu7M4J7qOvl2auR9C5gCpmwV0VA8CFSgcju8lF1UwgKh/f7QJVlWFlF8TwJhaQuQwZpz7k3N79CwFUfhAlQroICDKwcJkhB0hfyeblx++PmnII2EVNCRxDGXyj3Rg1kHLpqRVPEsdTjYtfhPYayG5St4ElBd/bHnJtwoXvrV7MvcF314gz9Hv70yq0MRSwEKYdS1s4juw0B5vzti+V+fHKm38RDp90q+tfpZd6C/IRlwNi1kw0BDeakjtbsW68cP94twIuifHK9gLLEpVJJ1K5AZ62D54PnZCfwhiZfNMKe7Pgd4zl7yPnKcufW7iEeaXe7Ms9MdNpnYtzXNLlYdKl2hvG7xvo8W1rLz5B/Xs7bUy7+kTw/mH3hz+RGAC58re95WLJ+2euNUAbFgopQYOVGE4lA6897KjcSYMyN7P9FYF2D2SoCTgVNl8tNN5hAXgiMKQRk02lpeGnPLAtm0nd93jO/kp84FOJwGG+aeNEPomjewvG+rev7OW34XTfksWAzqRnxcY9XtLWiNH+xCUKw3SAIhyiKyXVTs/8Zlk5u7oN4CpTlj5v6bsqckdLG0O7UlXWz6dfVp/Le7/aiZ20pBP3zYjFC3VuX7kdQgfbe+vtT8cHcr3RNe86DYBsCjmQhHZM46DHAqm3M+bS1Ayz1LpZBQZ0Ih+mieYtIBuYe5bqtqw9BNQTWWYESNX91c8bPgRMxaCgG9IxLR7mKJQLtvb5SeO2GcOj3uu+BC4QR535sCDnc3CMqZaK0TkI41EO6mqGEnbFiBqb0yAFfGEwsr23BcrLXsEtJiw+v7aF8B+ki8bVOT/ipmtA6iT4bmIOfJxmQl/5yi/k10E+4Ivu052uBthmvxiAQwDnBicA0hqXnjsO7lMxVqj6Yj293fsbQwKfK2NOheNZ1yAVkTChreazfsFbWMbyt5XGNPn1zztuk14Aonyfh2u5xaXHihvysTZ0lk/jFjrS7Vut9wz6jvNPlOdLi29oP+zWEaRf/fDOpsGAv7+Y75tlfF/+kLYqzCc4o8aJnz3xAWg12JG9HCcwx/2dfNpqsR2VgzW32aRdltlvFqit/vTOTUpaywRgS/778N60AJ4amuWpEELALKqAo+XXvt0LpXUZfGqHcghtlBOKLAOVi4IQlmFcQPcIPEyaMQRI2NtdoNOGpe2ER/0JKM3G4C5Iea3enq+Z0sRhcNeCzkFutW5/Nx1xtn9QgTARB08mJojR/YRnXu6Z6A+Y0Dmt+t+odxe3SdRNFC6Vw0S09dvqd4qIG57otriyHDanOOsDN7xV90MWrUN7YIRHupvyYdD/Z3l08EN3tMebXOj1uHFZ15bzmQcNPF8jPa3soT/nb99NW2HXQV0qTPYx7Q7sLDEGKoGED12hOBEYamJ1gdnghWFJkFSEFxp2o+bvv2H4SduwrvJKOYUUF2rbfo5q0oHNr7eBVSAGGHzS/YImRbBSldRKWVY/LNTIsgiUvNG39ENw7Bi1U8Pp+8tPvMOok+mxgjolyYWnmx/IJKzy4k0pGgmWXm30gNPFhJal7v9rHj/3nJ91f8SSkQBtwt+t2j4b120uf0P67kgGuc20c5fMk9uKwBnBDXtcm7Jeek8xvtwSFRjdzx2171nJwG0e5pbWWU13DRRPc6wXZNzdzDK6i4kl/2QKh2+8Ny2MVuRmLqh7WXGpPtv/YQVWVTGlwBxYm4Z2jszIJ897cduIQCNM5EwsqEvdc+c4hIVBFujZSUeUiFVTJMaWBMfpAW2etUTc3gZbf8L4fkAuRUxtwj/NR95cD2RxgsflAalyDme2GWknf9IkgMDSiTBWly694EzaHcIvhhqI0f59sf7drawfV2LCpRiyWmhofsSv2rFZVJdMQwwG/b/wevBIYYsPk7xkWAmAwqahq0Uqq5ExpMOl18sueqRKRgEPW62c/ReTqk2GVBleLfg8gOOSNHvi11E49jWwDsWj8EDbxg89+wvf7035PWFLo/A3byyf6e5g+QqmxOc0Dt8xmqn0qHe+KZHf3ZB9bouZvTqE+BuDZ+vEJTcUAwjuUOmTbscB3MPCCdu2IPRa0vry41VT1LZFpUVon4Scd+0Sn94AXvKCs85FkrrplBlJtQxCvc39J1aPSk/l9k8izgYknnmuYRAVUDvOeQbQNKwm4Cwqa8JuE1QK193S6H+pBoz5Iwhrwhtx7tnSIexD18+RgaVnlRgnDC3Y4vwBvL2cNuN2C1S9+30HSfW1u0ip8ubkXgmpDWBEUwbWREx2Xrq3iSUUcvDnAVXHQRJ1v7TEvqfvCS8bdMi5krETN0yD3ArH2kevHDwEqNnAQPVCfUIJomdtgBBKEQP+6vTPdGS/VILSBMzUsE+Dr9vNer2sDg6rqWdPAhBzW932Bg3QsBC1WuLdyo1FP3QeM1SHnvOu4mbTWR9yLoBip1nZ119icRZ2RGISVgA4DbArgTx4MA2jew5/z2AuGan3H29uL0vyFayY/Vkowe31LmrcjiFcJuXmnDsUIQu6VgM/YQd8Zwh9qc2Zvs0eNTuInywHiAkUwerjOucql9RQYhi90eEj6IL3D00HG2i/0/bpTLxVvdH7K0Jiz5nm5xgEWhyPMO7cEc/ZRA74Uj8r+4/mAahDxDfrEYFkDDVzE90HQw1gIApnXpNAjmQgMDy/PJNax4aBOxbEw20YMAayN1O/RLOf2E+5XwGgO+73qtj9Bl0vE/KXWbQgT/dDZ8reuojYVmqmStWmwmIFlWxCHX/ixHylj8uC3newUpXUSTEe82+FyMVaCcAJtNS/fKNamjPqI/wTmX6z76mvlPGyf0jqQPiWqkUSdDczx9qpxtnkZ+CfmIBRDkpUglHXyL+92bHhXQqj2c//PtFYLbtqDsA/rd6y/H9wLv23szdz8jqJ+nsRe+t2uz8sAz/3cwKgtg+f17Jn3G+8pP8I27PmGSt7BeXV6au/jJhNtIW7IIMV5xU19exmcS38+77OYhTqYMzc118fjwL3h8jiehPgxOqL4MLEIljpXa6+8Za2SdBB3e4WL5Ly9qsmF9mTX3/Gu/aLn68qzqBdlFNc35IKRRyBMiwqOURH5x88d9IoA/PhNXD/VCOoF1zt4sfeUm+SwtehgAotAYl8t+j5TID7VGMC8gY/66yXzEBuzIAk+IkevGi++kEGHKX/91vth49WiXGNj8XLSdrHWs19vk8EI52xdIO8u/6UhN80IdJmadtL4PJmWKtNT/0uTn/iX+u8nzCHx7KAZjD9IaPEd5U/IP3yiXbhsqFasijhbPleYKEedpssA6p/OHyLm/hf8GWaReWUwQARwzC1xx3U+yWSEJnkh6Wojf678xie0NYrmk3/SfzvmCq6Rhr/icqNQUmqsBDn+KM1f+Ld/cOLzykBk1ucN7d37pcUDGOFWem3Whwbm1jRcu425Yq9nfof7h4nrpxl/G/dvkUHptsrNWk5RrmAZI9B3DRlAr1+tbukBBs16+ETgKQQbBMESqFPV9tJENofx3ct/m+U9EUwcvnLduKPA4aOnFJxc3migMXe83EtXFr9RBB4duXKMDD46Jd0fOA5eEMJUl7/R7qecJTpKhqdq87ps9ypx+cjb0uvhXjgQ42Dj58Bm7+vqPevEo1Ne9hQEDv3uW7OrIdCB0CvZaLYMJvzAxGcNFxFU301hW+4c/1oJ4TveSbnk91zyM6ecz7jGuwnpKGe8q5CP95V8vggUeX3TS5XzXHVfuK14eNKLxu9Gla9Lw7sPDAEcniltfV39ZM2L1/zFmg1fyghwDMIzxm8Wih1+3SM9PXWwGLrkl3To8buGJZZfhheCrA+e/ZEYtfJPV+8888YI5oyAzGAoJFOsGbP/Tp9RWiexV3tb+tr/ZMF3nlzB4PcNJrYZHN1pzH7ysVZ9KQO8viX752bNxD3wO0Dsg9tbXC3A5M8qhD10Is4GwG/9/k3ijdkfG3GuTJdBcNXr1xUK9hpQnHji9LsE5WYlmZ4bgt0+OPG59Hexl77jXQdhbK8anQPZP1nvjeeD3/W3i0e4OtuadcHQxDmtxymdfAkfk+E8iX3sqzPfF1M3zjaH7eoT8xbxDYBNUIHgf189QTw99XVXAbvNTprrfR+5720nhUl+ziRmW7rPSdIt01NyXwD3ZW4JAddxbnESCJjtHTlxVLw6630xZPFPZlKmT4zXJOxt8d10VYR9b55cuY39L5TDcA2LU5xHUM7YI8vPUvlLGM+OUvIw28fnw5NeED+v+CM9Ce8sCP/cBrZPr/jfBd7fj0x6Sbb5e3oW9lUQVnmN14m4QXjfrN+3Kb0t3QUwOF8q7t0qXY4Bs5afdc9UHEKYH2T8L6asjYA9RgV+qxByhkEsqAgDVW4z2yOAA+SKPWvE2r0bDKb7HsmoAXMZpprQmoQ2ahhmgSrgcTiA7/K1ezeKQycOi12H9xhM7xL5ihnazfDrXrtkjdA2KKo+cVq0EYjK/EXAb2zyVu1ZK4UWGw1BVRXpLgna+Ji3PSQj3LrxNFE9ePyQwQQ3mW9IxwYRpsjQ8skKhICHf2+ZJ1bLwLN4z2BTfVAKS0v8957Bwb1F+SaBHYKcMAOjCoJJc9PvVN7MxzOeu32RKFuwtOiQ0lb5PM2yfj5xeMFhEvfBexDBKCGEgMCvmBQClixQXDQsXVcyPOo5Wgj4uX8i6oCxgAMNnkUOKQzz48InjH7vO3ZA/LpyrPhl5R9inTwcQYBhJQiKKhYuL+C+MUX+zmHd1944PGdf4994zV+8R7ZJJkLTcg0DsWCAIHee/F2XkvudU2WbQQjV8Y6ZtWWu8TtGXJPNB7YZTM5CeQsae5kSUnCNfRastnBPvFOyA0VpncS7Z7L03Q2B/gb5G990cKuAwhDWJwj0K0h3mBCeV5B/DcrUEU0kwy6e7yfMG8SqAmbYH6C/BfLkN9aDovmKiGrS5R8EFNWKp8S1X4mYp1E8G5jKSVi/sKOQK5hcwyS70IdSRyIwDeKeeHf+sPxX8eeaSWKrFCRDqGMS9rtlCpSSgtdKorIUTqRIl8bY58VLmLZi9xoB5SvEkcBv6cDxg4ZAu7g8T5aU712ccfEehoa3Lg6FOZ6s8nn4xBFDGWmVVJCBMhH2mSC8U7Aemeft0gVLiZbyeamUd4LCAue339dMMM4Gm/b/2xcoocAdU3n5/q1QqJx8B5eRlvdVxGmVWgYu2NKNY+/R/WKJVNhaIPfiUNzCWQ1nsyJyLw6BDfoFIQ6scf3uGfDmQEzSqLw7ED9nxuZ/jHMr9rRB0H65l/5r4yxDkRH8pFiUu6AU8+vqccbzgCAJ8eegsATFILxrMGegvNK2YvP089nafRtEn+GZrVxgRYJ4qUxZGwG7oKK6fJf80O+jUAbNgopQYOVGGQFGgBFgBBKNAA7i87YtNg65cGXiV0M40ePg+zMCWREBHCghOIdAxXQJlhXHyWNiBKKMAK+TUX463LfsjgCEaTuP7DYUKZzcLWZ3rHj8jAAjED4CH8/7VrwurVztBC8hQcYmsbfP36OBgF1QAYtluIQOg5LPt0EYKHCbjAAjwAgwAlkOAbhUC9qtWpYDiQfECCQIAWhSQ8uPiRFgBBKHAK+TicOe78wIOCEAK4rsYh3mhAXnMwKMQOIRsLqesvamXkAWI9Y2+Tr6CMCBe1iUfe3pw0KU22UEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRiDJEYDLN7gKVRHc6DJlPwTCDKbNgorsN594xIwAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACGgRGLH8NzK/XulaZB5nZF0EUtPYoiLrPl0eGSPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAhFCYPaW+eLdOZ8re1SpSHlRukBJZR4nZm0EWFCRtZ8vj44RYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGIFIIAB3T9f8djfZl0sa9CfzOCNrI5CalhbaANn1U2jQcsOMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgkDwK7juwRl4+8TZxMPansdK6cucQ5Nbso8zgx6yPAwbSz/jPmETICjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI5AQBNJEmvh+2SjRa9ilYu/RfWQfLm84UBTMU4DM54ysjUCYwbRzZ23oeHSMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAhkHwS+X/areGXme+LAsYOic7UzxLVNLxE1S1QjAZi+eY54YsorYuP+LWQZZJQvVFZcf+ql2jKcmbUROBliMG0WVGTtucOjYwQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGIFsgsDB44fE01MHp7tu+mPNRIG/xmXriwvr9xWVC1cQOw7vEst2rRJLdq0QS3etdBRQmNC92ukxkTsns5NNPLLjZxoLKrLjY+cxMwKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAj4B6BX1eNTRdSWGvN27ZI4M8vvX72k6JeqVp+q3O9LIIAB9POIg+Sh8EIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjEBYCKSlBd/yYCmkOCOlTfANc4tJh0AqW1Qk3TPjDjMCjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAIxBXBNpVbily5cyltKrw2pHqxVLEq50eF9XkJxMjAATCFFTkZIgZAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBJIfgYqFy4lfB3wp2lZq7nswxfIVFXe3ul4M7/cRCyl8o5g1K4bp+omjn2TNOcOjYgQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGIFsiEDZgqXFO12eE6v3rhfDl44Uo1b+KXYd2aNFomCeAqJZuUbivDo9xJkpp4mcOXJoy3Nm9kQgTaSGNnAWVIQGLTfMCDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAoxAYhCA66a7Wl1n/B09eUys3btBrNq7Vn5uNAQRJfMXFyULFBenFK8qqhatnJhO8l2TCgG2qEiqx8WdZQQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGIDoI5MuVV9QueYrxF51ecU+SDYHUtJOhdZljVIQGLTfMCDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIZA0EwrSoYEFF1pgjPApGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUYgVATSRFoo7bOgIhRYuVFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUYgayGQFo6cQrCgImvNEx4NI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjEAoCaWmpobTLgopQYOVGGQFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYgayFQCq7fspaD5RHwwgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACCQTAqlsUZFMj4v7yggwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACGQtBNJCClLBrp+y1jzh0TACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKhIMAWFaHAyo0yAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjIAbBNI4RoUbmLgMI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAiEgQC7fgoDVW6TEWAEGAFGgBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYARcIZDKFhWucOJCjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACMQAgJpaakhtCoEB9MOBVZulBFgBBgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRoARYAQYAUaAEchaCKSmpYUyIBZUhAIrN8oIMAKMACPACDACjAAjwAgwAowAI8AIMAKMACPACDACjAAjwAhkLQRSQ7KoyJ21YOLRMAKMQHZD4MiJo+LoyaPGsPPlyify5c4rcsh/TIxAMiDA8zcZnhL3kRFgBLIiAtACO3j8oDiZelLkyZVH5Jd7iFw5c2XFoYY6poPHD4nRq8aJyRtmihblG4tzanURRfIWDvWeUW38ROoJsfngNrHpwFaxcf8WUShPAdG2UgtRNJviEdXnxP1iBBgBRoARYAQYgdgRCCuYNgsqYn823AIjwAiEgAAOeUOW/CTGrJkoTkgmwsm0kyI1NVUcSz0ujp88Lk7I72Au2KmgPBQO7/uBqFC4nD2LvzMCcUOA52/coOYbMQKMACOQAQFod/25drL4bsnPYt2+jcb+AQWOnzwhjss9xNGTx5T7B5S5sH4/cU/rG3DJ5AKB9fs3ib7fX5GO57h1U8Rbcz4VY84fIrAfy8p0+MQRMXbtFLlPnWTMs80Ht4pDxw8rh9yvdnfxaLs7lHmcyAgwAowAI8AIMAKMQDIikBZSMG0WVCTjbOA+MwLZAIErRt0htkitNK+EQ+J5I64Wky78gTUjvYLH5QNDgOdvYFByQ4wAI8AIeEJg3Lq/xN3jnvRUxyz89aIfRKUiFcRFUmDB5IzA+/98lS6kMEtjH/b31vni9MqtzKQs9QnhzCsz3hcQyrilH5b9Km5rcbUolq+I2ypcjhFgBBgBRoARYAQYgUgjwK6fIv14uHOMACMQJAI4BPoRUph9wCH5iHQHVShnQTOJPxmBuCHA8zduUPONGAFGgBHIhMDIlWMypXlJWLVnrZfi2brs1E2zlOPfenC7Mj2ZE+GqcfCsD8U3i0f4Gsa+Y/sDF1TA7daG/ZtF/tz5REqRSiJnDnZ9aj6c9fs2iQPStRsEj+x6y0RFSHd3PGf+Hw2+YgQYAUaAEYgFAbaoiAU9rssIMAJJhQBcPcVKhfKwkCJWDLm+PwR4/vrDjWsxAowAIxAEAsdlnIBYqHyhMrFUz1Z1dx/Zqxwv3HVmJdp7dJ+4fORtYvXe9b6GVSxfUSlIqOirrqrSjsO7BKxZvpMuUq3Uq8bZ4oG2t2R5t1vWMduvYenyysz3BQQVJpXMX1w8fcZ9Ml5IczMp233ynMl2j5wHzAgwAoxA6Agg3lsYxK6fwkCV22QEGIGYEKheLEWULlhS7Di0y1c7hfMW8lWPKzECQSDA8zcIFLmNKCEwYf008cuKP0TpAiVFzxqdRMMydaPUvYT1BZqpb8/5TGzav1W0T2ktOldrn22DCCfsIShu3L16RzFp/XRFjrukUgVKuCvIpTK5fTIhKZA7v3mZ9J87D+8W5/90ne89KQA4v945geEwecMMcdMfDyrb+0VaEy3euUIM7ft+trOuQCDzK369U8zbtigTNruO7BHX/36feOPsp4x3daYCASREeZ3kORPAA+Ym4obAyj1rxKfzhxrxpbpW7yDaVWohcudktmXcHgDfiBHwgAC7fvIAFhdlBBiB5Efg5Y6PiIcmvZBBIypXzlzpA8uXKy8ZtJCtKdJh4osEIcDzN0HA820DR2CN1CC+dczD6e3C7UlK0Yriva4viIqFy6WnZ8eLh+UahWC6IGjxPjHlFXFL8yvFFY0HZUc4IjPmLtXPFDO3zBW/rR6fYZ9g7iFy5/h3L4Gg2ioqnIeVHVS42NPgComi/FlIUHHP+Kc8CSmgvV9ZviOrFq0sqharLBqXqSdaVWhKQeUpHRYst/75iLYOmHzDl44UA+r20pbLapmwolAJKazjvH/is2LSRT+IHPJfkBTldZLnTJBPmtsKGwG4kblMWq8dOHbQuNWolX8KnPnf6Px0YO/RsMfA7TMC2QmBNLaoyE6Pm8fKCDACTco2ED+f95kWiEcnvyR+XP5bpjLMZMgECSfEGQGev3EGnG8XGgLjZWBiO8GlBoIVf9X7TXtWtvkOU2do0Nrp9dkfiTYVm4n6pWvbs/h7nBCA5uWj7e4w/qhb7pEM3w7f9FdmF8rLriOVwNgSKUEPihXMU8BWOjm/Igj27C3zHDtfTroLu7PltaJz9TMCZ4Jbbz569TjSisVabtKG6dlKUAHmJoQzTgTm57p9Gw0hklNZL/lRXid5znh5klw20Qgs27UqXUhh9gVrzW1SQDt20FAjHo+Zzp+MACOQeARSRWoonWAbqlBg5UYZAUYgHghQfqgRVJCJEYg6Ajx/o/6EuH9AYM3eDUogVu9dp0zPLon7ZWDck0Q8pYU7lrGgIuITQRdLKCu5LQrzMRwjLFJwz4K5k19QAeb3izPe0UIIN6UQUHQ7pWOoAgqzE6v3uIuRsZZ4b5vtZLXPw8ePCJ3gzDredXuDF1REeZ3kOWN9+nwddQRgnaSiQ8cPi+2HdwYa60d1H05jBBgBbwiwRYU3vLg0I8AIZAME4I9WRSyoUKHCaVFDgOdv1J4I90eFAMW0dcsUUrWZFdIKaBixh04czgpDzNJjOJGm3j9g0PlzsbKDm4d/5CTt+ikrWFTM2PxPBtdhdkwal60vPuj2ouGWxJ4X1vdyhUq7arp84bKuymWVQgXy5Bdw7UYJj63jLFe4jPVrINdRXid5zgTyiLmROCGgE3JDIMnECDAC0UIgLEFFzmgNk3vDCDACjIB7BChtPmYyuMeQSyYOAZ6/icOe7+wegcJ51f763TCE3N8l+UrmzZWH7PQhGWSbKdoIHD9JCyry5c4b7c5HpHcnNBhmBYURnSshxJ/4qPvLcRVS4LE3kcIRN9SyfBM3xbJMGcScqFWiuuN4IMyoUayqYzmvBaK8TvKc8fo0uXwiEdC5XmQlkEQ+Gb43I6BGICzXTyyoUOPNqYwAI5AECFCuG5jJkAQPj7soeP7yJEgGBIrkLZwM3UxIH83gzPab5/wvWLM9nb9HB4HjqcfJzuSVgTuZnBE4rrFKyZcFrFLmbltEgvDSWY+IPDIWSryphRRA1C9VS3tbBPO+pKE6/oq2YpJn3t3qescRPNDmZsPywrGgxwJRXid5znh8mFw8oQhQQj90KqcUSDIxAoxAtBBAzL4wiAUVYaDKbTICjEBcEDh+Us1oyAoH5LgAyDdJKAI8fxMKP9/cJQKFicDC+ZiZKyh3H4WySCBhl1MkKYtRgmIMhq0y3T1SrUVFFng/IOC6ipqVa+RKe19VN4i0l856VCA2horap7QW35zzdtwtPVR9iXda8/KNxbVNL1beFq7IHj/9LnFenZ7K/FgTo75O8pyJ9Qlz/XghUDiP2ooX9y+Yp2C8usH3YQQYAZcIhOX6Kf6qIC4HzMUYAUaAEXBCgIMROyHE+VFGgOdvlJ8O981EQHdoNMtk189C8tB84NjBTMOnLC0yFeSEhCFAxQhCh/Ll5hgVbh5MVrZKwfpMxeHpWaOTG3hCK1OxcDnx07mfiqFLfxFzty0UB48dEtWKp4iu1TsICFGyM11/6mWiVYVmYsyaiWLFnjWiiHRd2LRsQ9FfCijCjJsS9XWS50x2/lUk19ixr6KI91YUMpzOCCQOgdS01FBuzoKKUGDlRhkBRiAeCFCHZNaGjAf6fI9YEeD5GyuCXD8eCFBWA3xgpDXvc+Vgg+V4zM1Y7nFM4/qJrYXcIau1Ssmd310jES1FWVOgu9WKpSS812C6X9ZwgOwH/pisCDQv30jgL56UDOskz5l4zgi+l18EqN8S2svNbjX9wsr1GIHQEEgT4bh+YkFFaI+MG2YEYkPg0PHDYvy6v8SE9dPEpgNbxPZDu8TuI3sM36ol8hcT5QqWEa0qnio6VjlN1ClZI7abWWov3bVS/L11vmhQqrZo7CJoH15OOw/vFoePHxGVipQXOePIoKGCuebJlTyvNoxh5d61Im/OPJE4/FqmgqfLLQe3iykbZhhjaCYPiAhsGEVasXuNGL9+qli7d73Ydmin2CF/Vzlz5BANStcx5nvrCqca8zgefY/S/N0usZggcVm0Y7nYfninfN/sNH7TtUpWN4J3nio1EhuWqRsPWCJ3D2jVLti+VMyR70XM811Hdos9R/aJE2knRdmCpUS5QmVEdcm46lztDFEsX9GY+r9Vtj9pw3RRukBJcXrlViK3Cx/o+44dELvkO7h8obIijAC2qcQGNJ7v+phADbEyFUAuVwQO08t3rxYjV/4plu5aIbYdlO+6w7vEkRNHBLQV4TamerEqomPV00T7yq2NtBBhMt6zo1aNFbO2zJXv3R1GX/YfPSDyyIDkZeRcr1SkgjHfO8j9THn5e4oHUe9f3DuPXI+zKwGXDQc2i73yHQdf4ZWLVBRU4Hi8AynCuhoEJWrN1h28SxUoEcTQkqqNZDobJAJYXifdoQ5f5jM3zxG/rZ4g1u7bYKwHOEPivVNcnm2x92lYpo44q+rporm0DnKzB3Jz5yjurdz0+5h0cQwewEb87d8sth7cIcAfOHLyqFzP//07Jveo59TqYlhUuWkz6mV02tmJ3ncmav5G/Zlx/7I3Auz6KXs/fx59NkJg/f5N4oXpb4tJ66erRy3PhdikbNy/xRAovDvnc4NRdn+bmwQO+X5pt/TFO+DHawyGgtkGAvL90v/zDObS2Ez+tnq8+GbxCLFu3yax9+g+s7jxWatEdQFGde8anUNnbFKuc4JiEk2WjPfXZ38kNsjNYaXC5cXdrW+QJuVNM4w3li9TN84Wt/35SLp7AQiGPu7+cmAb81j65rbuLik8u/rXu8VKaWJvEpi18JEMU3MdLdqxTMzeOs/YeIN5BSbwNrkJ33dsv8EoeqHjQwKCg1gJjNz3//lSjFg+WummBe2DqYd8EBjOt7W4OnSBRdjz1xiM5j/8locvGyk+njdEYr9NWRIHyTFrJhl5tUueIu5tfZNvTUXMlQnrpor90lVOjRJVRbtKLZX39JO4Xr6L3p7zmVghn2P5wmXFI6fdLspIIYJfwkFp9Kpx4tMF34llu1a5auapvwaLlvL9cFer63wJj6///T6Bd4JJsFj4SL4PmpZtYCYZn7O3zBefyX4t2rlMCq/3Ggd8swCEFXj/dkhpK7pUP9NMjumTcpET1Hs2ps4luPLxkyeUPUjUYRrM1SGLfxIfzvs6w1pu7SQEb/gtYl5jLQedW7uHuKX5FQajyEgI6L8Zm/8RL814h/wNoS9wnbVaCo6x3j437U3Ddc0DbW8RNUtUC6gX6maoeY3SQTHZ1XeOXircB/204g8xbu0UY27Ye/ivwKKCIdxqIvcpfWt1M4SiFIaxWltFYc3W/YYxb8FAPCkFNVgrgAOsS3Bt/kG/EId3YFcsXxE7pEnzPRnPBokAl/wtREBonQg87PfEufWN2R+L75eNSj/z2MtAmIC/hTuWGusYLNtuaHa5uKh+v5jORVHdW9nHj+/Yi0/b9LeYtvFvMUMKdLBWu6EpG2eKtpVaiKJ5C7spHukyeK9SlCtnYqxVEzl/KSw4nRGICgLY94RBOeQmKhxbjTB6K9vEZvqykbeltw7G3uc9B6d/5wtGIFkRwCb3g7lfifckQ9Uv4ffwTpdnfWlHPjDxOTFKal/a6cn294jeNTtL9kea+EQyNMEAwYLthl7o8FBgzDLV/fp9f4XB4LDnXSOD6d0g/dTGQtPlRvHa3+7N1MQnPV4Vp5ZrmCndawIOf2cPOT8DkxFtnFW1nXjlrMe8Npew8neMfUyMlcwNOyFg4cOn/f+7GvlgjE+Wm2kwx2At5DSPIPCYcOFwe9Ouv2PhfF/+pvC7wr29Uv86vQQEgLEyXaj7hjl/qXua6X9I/83PTn3D9SHIrIdPMM5flsE8vWiVbj6wVQpCr80gKDojpY14rdMTMTMFYRXTdeiFGZ5xStGKYmif931ZGHy35CcpoPw4Q1+t43dzjXfQdU0vcW1hBs33B+U72E49pC/0Z864z0ieKK3rnpHPjBIq2eteUK+vuLfNjfZk7XdY090/4VmDWaAt+F8mcM6bM6/8jeQ0hItgLMBsP1/uvBJ7+Sm/wxUfNLKhPV+vVC3RSWpKJhvhXfLgxOflu24yyWSxjgnMyVL5S/w7bmkVk1uOvYDEAbEPYPWST14DJ+ACjVGU71urq6FNam3HyzUED/eOf0q5JrppB++5p8+4V3Sr3tFNcW0ZrG9PTx2cLuTUFiYyMX/vaXNDaNZ5EIzc9MeDyrv/878/lOlZLXHxzuXi0ckvkYIkarz4XV/c4DxpQVlZPDzpxUzFkD/90pGZ0p0SErlmvzbrQ/HT8t/EXqkoYZKffYNZ1/qJtW7w2U94mstY196b+4VYuXutFO4fkAocB8TB44fEYWkVBVL1DZZSg+Tv5qrGF1hvH9N1FM8GP0uhGvYw0MSHYgtidAAbWPiocMG7rUmZ+uLx9neJFGkhFCtFdZ2Mypyx44tnhfeM057fXs/8jrPAxz1eFjWKVzOTXH9GZW+l6zDee3/KvcUn876VCijLdUW1eThzhRUsXnvjGDIxZ28Z85BYunuV8rdrbxoWzAXl3gn7SVg+5pH7J+yrClj2VdhjGXtOmV+uUGm5t+pufLe35fZ7Iuev2z5yOUYgXghg34z9s5U+7/W6aFymnjUpkOvk8Y8SyHC5EUYgmghAs/ra0fcYFhKx9HDetkVioGQGftHrDQFrCLeEzaNKSIH6cEOCQ9btfz7quX/3SKbJduluAtowYRDldgAbl1jp0ckvK5uARtDHPV5R5nlJfHvOp8pNGZj+0NTDJisZCNrdKlojNWSthE04DiqqwLPWctZrWOus3rNOVC9exZrs6hqH1ut/v1/gN+GXhslAlav2rBVvS+FfGC51wpy/1JghcHxlxvvii4XDqCKO6f9IhYFzf7hKfNn7DVeHftxz0E83ZHr2YLxDaNX9lNgYo6/N+iDTbwkWFqNXjzM0fx0H9F8BmNGDST9uXWbBm9s2zHKw4Jm1ea54t+vzrn7LKK+iKRtmSg3dNPHqTO/PDFZvWw9tFy92eNi1sO2l6e+4FlKgv8DZK8HSA0LsZKI5WxeKX6XrIreE95yXdx3afUdaBA05511flgSwxIHWaCwEBt99458xrHQgJPBLEKSd/+P1mawtvbaH+Qs3dJgrOu12r+2a5SkNaDM/q3+CMf/p/CG+hgmLgo/mfUPW9SPcT+SaDctBv1iQIFgysNb9LfdKzcs3tqTqL8G888q0BNPvTblHLSEZu0EwLKN4NoCV1sOTXtCDZ8vFuw3ChYt/vln8OWhITNr5aDqq62QU5owNesPSldrf2MtS33EWGPjjdeKT7q+4cklsbYe6d7z3VtY+Wa+hFHfP+KdjXi/RJgR4Qfzurf0L+/rbJT96es/B4sYrvTvnCzFG/u797CNgqU3NIbf9iGX+ur0Hl2MEEolAWkgWFYmxn0okknxvRiBiCIApffWvd3kWAlDDgEuoS3652TBFp8rY06H9SBEOKtD8xibfD70o3VjBx3AYRLndCMKnKeKBqAg4QDs8FsKB/Ptlv5JNQHsuWcju+svst+nWCO6cIIS7c+zjnhl3aGuSTWpvtq/7hKk0GOmxCCnM9vG8L/gJTLf/17I082L9DHP+qvoGhvetYx6JSUhhtovn3v+Hq8WSnSvMJPITv39qnsB1XSyE9+evUiChImiiuiUETu0r33NBCCnMe2Lu/G/U7YYfYTON+twp416oCEGZb/zjft/PDILPbxf/qGo6Uxrmh1fGWKZGXCRAaKnSenVRNWFFpm36f5dcYXUCmAAbrwTNpliFFNZ7Pj/tLUPIZ01ze421MQghhXk/uJ17fErsigFme9bPk8TByg+T3dpu1K/xO4eWfJiMea8xPhK9ZkOIEDZBwO+WsO+O5V0Ml4VBUBTPBl4ExnYMsA+xa4Layzh9j+o6GZU5Y8Xvzb8/iZnJa7aH9fF/v95huD0209x8RmFvpeon9q5Q3oLlPrU/VtXTpc3fscTwfqArE7U8q7vTsPqG9WXB9iWem4/C/PXcaa7ACCQAAayLYRALKsJAldtkBDwggHgUTgeY9imtxXWnXioulJYJCPrrdJCGsOLNvz913QvTlFxVAZt6tz4yVfWR9vH8b6msmNKhqa2i3NLMO1ZCAEmKoLUSCw1bOpJk1MFlgheXOrH0I9a6Oo3UkjIoHqx0eg67REyXflb9ElxTeCEsljf/8ZCjVjgsjhrJ4NAdqrR1DIAM/+mwKAqawpy/qr7CigeanTrC/IMLubaVmouqRSvrihoucC4beaujOX9ujY9maLLGIsiESTbF9HYblNeYM1J71a1LJS0otkzD17J0JeVEx+WhVUV498Z6kIPmMzXXrPdE7FuntcVa3u81nhdi0iQTwU1TPAgxVrwQtAtvlXGOdIR3HfYOcId4drX2RiBtXXnkPTrpJc/rPtxXXPPbPVqmC94vvWt2ETc2u9ywdnJ6x6AvP0p3PNA6DZqOp6p/c7r3VdB9SER7b0nmIWVBG1R/8uRyb9UahTU7iD2jE3Ze3CLEqqyyKUZlGnMsUTwbQNEnFloprWRjoaiuk1GZMya2ELp/OPdr86vys26pmuJK6aYMrsoQj65gngLKcmYi9g53jnvc1X7GrBOFvZXZF/MT+zGcKbC2BUnAZ+3eDUE2GXpbYVirqzq9wuPvPirzVzUWTmMEooZAWIIK9zvJqCHC/WEEsgAC87YvFnAvQxGC177d+dlMjAVscj6d/50YLE33KYK2XE/p3xzBrZ3oyH8+b53K+c3Hofje1jcGHlCQ2oAGYVGBOBTWANHWsf+44jcBH/R+CM/uM/nsKEIw3mShQ5p5A/P88eumxjwUr0KytyUTBsxhisAYe73zkxmY8FhgoaX3yOQXSaY3tOMhtDu9ciuqac/pYc5fe2cgLNIdGsFARNwJ+/gQFwpm6ZS5NVyAvCUFIHe3ut5+y/Tv1YqnGAxwSqAwXAruvMZSMBv/VrqHoah+6dpUVob0wbM/FPNdaFvB/3fzco2NYL/F8xcVG/ZvFn9KjW8nzVc3LoCAY1iE39Dk9TMEBN46yiE9qEMQHoQlku4+8DddoXA5XZHI5bWo0CQufTpNBsP0QnBVRv2u0M4j7W4X/Wp3z+QbH4zMCGFGYAAAQABJREFUq0ffRWqnYj5C2/ONs59y3Z2P5Z5D5woM/bhPxvzBu8ZKblyu3TnuCTF20FBXbtSsbeuuT6aGE/xPd89E50EpRueyyd4/+IQ/lnpMYL7o5pm9Xi6NcNpeNgprdtuK3n539jE4fcfa4SW2GfywI/6P7vfkdM8g8qN4NuhZ42zx++oJvofnx/2L9WZRXSejMmeAFYRJOvdcEEjALaZKeAeh9C1jHiZjQcGKF1aibt0TRmFvZZ0/uH5h2tsCwa/dkKk81EyeSbFvKlewjBixfLThNlVVf8muFTJ2UIoqK5JpEFDN3jIv9L61rdjM9T2iNH9dd5oLMgIJRUCtOBxrl1hQESuCXJ8RiAGBe8bRTAAIGL7u/ZbSlyo2yv9rdL6oW7KmuGnMg+QB8mMZmOvZM+937KFOa4qqDK3r5uUaiaZy81RRbp6WSM33Z6e9SWpXD5UCmSAD/KFfpOsG6S4lVoKQhxIiwWIFWvbVfWwGwTDUMd8vadg/1q7Hrf5h6Z6AIpihUwSt7R6nnCUGyGDVdWVw3Y0HthjuxVTlKRdcqrJ4Lh9q/GZf0qC/uK3FVZm0xnNKFTk876pFK4nLRt1G/p4em/Ky+G3A15nqq/riJi3M+Wu9PwQx90vf8xTBb/ZLHR8RJaQVjJ2ayMDZQ855x4gxQVkcfLXwe3FhvX6iUpHy9urGd7yvWpRvQmpFQ/B3d+sbPAfVhvCEEjDgcAeLGSeCObhOcIj6YAAgSKFdiIM8aAPCquMhGWiZOhBXLlIBRQMlMLHAXGsq38M1S1YXm+Tcf0ta0S0nNPI/kUxkJ0EFOvhap8eNeBjzti0WqfIfSMekRBBoaNKbTExr3BUzzWjkv/+g3f/gabdak5LiGgyVFzs+bDB5TY1erJvwCa8iMGLAEFNho8IF78Q2FZqJbqd0VDWnTIPGHwSoFL1+9pNGfClVPtbs4X0/FHdJAQDlCmXS+unSymi7cGOZtP3QTsM3vupeSINFxz3yN64iaFS+2ukxQ5AKVwsqgrDvN+niDdYYQRFlUREPq6KgxuC1HR3z0Gyrb61u4pxaXeT7s54RqNRMH7/uL/GcdAtGrQNmOXy6jbEVlTUbggQI6hHfYdd/rlBhFUL9vssXKiv3LjWk0C2fEb8KcxhrDr7D+qpAnvzGNeKl4fcDAbBXBZoPur0ovlk0wlD4wLs4p/z3b4DY3PKe+Y3A0RtkjCDVftIuDLQ+Gy/XUTwbtK/c2nhWYFabcxFWUAiui3HD7dihE4dJt5QFc+u19t3gE9V1MgpzBvi9ImNqUWcAPKMf+n1k7KtUWLeWDOXvZf6Vv96Z/nzt5T745yvXggp7XafvYe2tzPtiTUX8JR1hDbqmycXSAvJ0ZQBxvAcQ301Fm/bH5ppY1WaYaVc0HiRyyDMYFBrN/ePOw7vJ+YM9J8jt3gp7sfPrnuNJOSaZ52+Yz4rbZgQoBPB7DINYUBEGqtwmI+ACAQQhNjfZquKDJZPB6WAD9yzvd31RbujuUDUhfl8zwWCwOZnTmowXZSO2RBzowNRsKhmYVoJgpWLhCmRfwtDSPZl20tqF9OtYNabQELTfwKCkNMl/kia7t0qmt1fSaTPi8AvtkmSh/ZJ55JUQmP2pM+4VRfMWTq8KgQ8sHeAGyE4Uo8BeDt8RjJaiPrW6ijtbXUtlG+kNJWP7adk3BJRVEfoyVfqqVzGsVeWd0sKcv9Z7j5bWIipmBspgzuFwq/vNFJcCjE9kAPnuQ2kroq8X/6C1qri4/rmkoAIHWmjR4X3mhYYvG0UW71Wzs+P7E5XfIBijZsOwcALDV+f6p3O1MwSEERfIgOEqchJUUAd6VVs4wD7Y9hZxbu0eGbJrlzhFQKgEV2uq9qBl54YgSHiy/T0ZisKHssr1zllV24lXznosQ9ms/AXPGX8mLdu9SgwcoX6nDOnzrqtA82Zbfj4/0rjVAEMf71odgbn6ZuenxUU/30RaoYEZCOGuEw3RuDfDO+bOlmqcrO1e1eRCceTkUdLy64uFwwMVVFAHK9270NrfZLueKa0cnTT0YYFjf7eY4+xQ5TRxpnSVCCYhAozqyK37rCit2Z2qni7wZ6XTv+qrjK01oG4vQ0htLRv0NX43t7e8xvij2h4thXeq/YrXGCFU+1E8G0CxRPWs7GPo+t2Fyv17QSlEipWiuk5GYc5AuAWNf4oeO/0uUkhh1oHSy/B+H4gzvj43XQnCzMMn9rOw2m7lYIGu2gtZ27Feh723Mu/19aLvzUvlZ3+pwHVz8yu0HghOlUqCONerxketa8qbRSARfI6rm1xk/Jnd+XzBMCnses/8mv4JIcXki/RCnvTCPi+iNH99DoGrMQJxRyBVegsJg2JXOw6jV9wmI5ANEPhq0XBylGAAQePRDTUv3yiDGxtrHWhu/rLSOZ4CxcS0toXrixqcK0YP+CqTkMIsp+vL+n0bzWKhfwbFaLikwXlkXxEM243fd2sDYMTr4pFc0/Qia/HIX1NB6lQdxyHg6TPuM5i+ViGFWZbS2i1iEWiYZVWf8Hn/y8oxqixjQ09p89ordKveUesuzYtLC3vbbr8HNX9xP8zRwbM/Im/9QocHtUIKsyJMzi+XVlwUIeizjtpJl1mmJpSq3PBlI1XJ2rRhS2i3eQPr9tbWRebqPeuUDHizIvwnvyfdE+iEFGZZ1YHRzHN6l++RAT7dEKzYfh/4DclIhEVMn5pdlU2hfwje6Icoq6YgNFP99CcqdfYcoZ9b2Nis379J63LMy1pyXdNLSEi/0wggzEqw2NIFbL+qyQWurdB0a+6yXauUwmyzH14/k42h43V89vJOscLwrqOEFGZbsI6D20snS11otztRMqzZhfIUVA7Dj6WBsqEYE+E2TUVu1ixVPXtaMp8NKGxgjRIGJcs6SeES1JyBZrzKahCYYw/Y7ZQOuHQk/PYG1qH3cU4Mf9wginurBduXkmN/Rp6RHpIWp8XyFSHLIAPCuv51eirLFM33/0pgygJJkEi9d6BcETZFaf6GPVZunxEICoG0kCwq9JyFoHrP7TACjEAGBMAwGrt2SoY065cBms2ZtZx5fa0mXsI0F0Eodx3eYzZFfsJ1A/zQO1l5UL68gwruZ+0gzWjIYS3m+xo+tSnaK5mLUzbMpLKV6Z/NH6pMRyK0Y4J0a0HeKMCMnYTbE/st4Od6VP8vDPdK9jzze5mCpczLDJ9O2uhm4ZHycETRw6fdLiiGg70OfB9T7nNQtlTBEvYqvr+HPX/RsaU7Vyq1CpGH+QbmtxuC9jisiCgqXUD9/MzyOFjpfAqPk25FqAO02Yb1ExZp1GEG2nh1StawFldev/PP58p0JMI9wVudn3ElxEH5bdL1DUXU3DbL75Jm7k6EeEUfdntJlCqgn3/U+xftw8WaH9p7dL+yWkGCiacsnAUTKcYUhhoU04eCbcQyWmMV1o0pRSpSVTOln57SKlMcLLMQBFwQiujo763zlFrnZp3u0s2fW0L8kl7SBz1FsAoIiuj3b1B3iE47ECZBA5mi3tICDS5X3BKeKeKNUORGoz8Z1uzCeQophxgVQcXRE+rYRm73O8rBWRKT9WyAIVCu3ZwszC3D93SZLOtk2HMGbn4pOlcRL4kqi/TLGw0ks2e5iGsQxb2Vbh/WqVp7crz2jCsbXyhg2WOnpmUb2pOS7vue/9zv2Tse9r4K94vS/LWPn78zAlFFAHvMMIgFFWGgym0yAg4ILN65jCyBTXSbSu4PjGioa/UOpMbiwh30vcxOUAw/Mx/uLtxqpNtdQpltwH+7F0akWc/PZzBiCmEwt7tUP5PswmcLaMGDvRIYPvDFTxFijsCfcTLR9sNq/+zWMcB91qc9X3U09W5aroG1Wvq1W+2rCeumptexXsAUvrsLv+9wbTNgxDUycPRT1uoZruGiCi52wqag5i/6OWnDdLK7d0q3Ek6EWCx3jH3McHGje0/0kT7NnQh+YimCBt4f0lWdWxqy5EeyKGKROBEsTeDjn6JbpLsbJ6GAtS51IIbAw0m466T1hzn8SY9XXfl9b1KGFjz5tWrbf+yAdajp1/DDnp1pN3GYBiZhYzNj8xwSeril8ULQkh9Utw9ZZeEOWgMUlXQMow7SVZBXpumgenRfqJg0ZOc1GdTBKh5Wc5puhZKFGGKUljNuCFcjXgnPiXKDiPeeEyXDml0or9qiQmdB5zTuIPPhKk1FQWke69Z83DfKZwMqZlRYzM5kWSfDnDMQ/iLYNUXnEVYAVHmcH5pJN0cqQtwiiqFtlo/i3iq3tC6nCDGEoATnhmB18VmvwUbsMViqQCEMlm5Qakl2ot47Yf12TbyiNn/NfvEnIxB1BLx6GHE7nuTiirkdFZdjBCKOwJytC8ge9qrRWbINvLEq4VandIGSSs1pxFg4nnpCywTXaU1BY+MZFwG5zQFVKFzWvMz0uUlq9J5SvGqmdL8JuoO33zbt9SBAgJa9iqDdiTgjYCQ60Q/SVRTVXzw/WKwkGznFj4DQ7bOerwk37pvgcuID6XPdGhMEmsGINeBEJ+T8nr9jibKYLjgtNsPDl440AlZSG2Nrow/I2ABBEjUfgrzHeEKAg8MMYk+oCAf831ePF/AJD3crTgT/stCEdiLEt4HWrireAeoOlc/CjVURtFkpIQMYZDpLKLOPsJqh8Me8deM6ymwLn3uPqa0OKIytdXWa+Sj3btfnXDN7dRY/6/dvtt7W9TXFlCsUQFBS152IYEHdc/O6hnsZHg4EiyTjmaKeGosEqk6VopWoLLFIKjvAJR5Fc6R1E0UIzOyVUhz64rU9qnxYByvqfolMX7lnDXl7vC/LFixN5usyEMtLFYzdSekiWdZslZtK4OEldoMOv1jzjhKun4KyGkjWswFwJdf3kNatZFknw5wzOmtkBKlGLDqvhLXp763qNWaxFIroYpvp1mj0IxF7K4xn4361dSvOmviDAPjMlLaG0qLOOhJ5b5xNK1d5xToq5annFpbbNnPcUZu/Zr/4kxGIOgJpIVlUsKAi6k+e+5clEZi7bTE5rjo+tSHKStc5Viav9QZ7pS9tMAkpOnCcDoqMuAJOh05ru6Xy065Jth7cEaigwnrfsK7rlaol4Kue0hL6cuH34q5W12lvD4bIJwuGkGXgh9Wr1inZWBwzKA0yswsfdX/ZlRAH5RGX4ateb4oR0upkuWSOn165pXQV5U5ot0Bq/FKHUmj0WgmHSVgZINjf1I2zrVna6xubXS4QWDmZCBrDlDZ0RxkY1UrAb7Y8DI6UcT4Q64PC01oH19B2u6HZZfZk8vtVjS8gBRXzti0SO6SVDoSuOhq9ahzZv4tlXBk32rwzNtEa6efV7unpnYe+7iPcI1GMLuv49mmC0l/WcICoJi153BIY5Bi/Spt0qxSqeiWK+YJ2gmKGee1TVMrvJmJUuJl/sYxhgxQ4Ub9PaFb6WUvKFaIZ1TscXJNRQmKMsZYPCzSdf+6dDn3xgmtqaqqX4kldVocbgmT7pRNy3VCRkxVZsqzZRQlf8br3ogqPsNIoF1RBaR5nxbNBGNZuuvkQtXUyzDkzT3O2heKRHyqvUX7DflFHUdxbwTWT09kDwl9TAIz9BDwVtKnUXLSRij51StY0YlToxp3seZQlTCGpRBQmRW3+hjlWbpsRCBIBFlQEiSa3xQgkGAEEEaRIp9lI1UE6gt1SbhHAUNYKKghGWX3JpNdpq6j6U0ojENGNW9VWVNKgMX7n2MeV3Rm65Gdxq3QToxPmIB6JzvrgqiYXKtuOeuKhE4fJLp5f7xwBIY8XwhwFI9srwaqFIrhrWr9vk0AMhN+klQDFuKfqIx1CCsyBZKN9GhNyWDbBdc1kKbT5fc1E8dfGWSTzkxp3u0otxaudHvdkAQZhDyyQqGf20/LfxRWNB1G3NNI/nf8dma8LxmutpDsonlmljbWoq2tKw9aNC45Dxw8p7wFLqxvk3PNKJaQVnApfCIq9EjUutJPdY1RQglo3gYS9Pgdr+e2aeChuY/pY28M1XGxQRAnhzPI6Jp3OwtKsr/qEhZbKBYZuPqra0aWliuwjqNitWwuKVdHBpM2DZYSK8O7Sker9ZJaP0ppNCZp1c94cRzw+VQJp3LdgQFYDcK+joqifDWBFTlFQQhxr+7r3UtTWyTDnjO6M58eaAhiX01h76QRpqBvFvRX2qJ8t+E72jT4/oe8m4XlNl64e8TdYJuLdChefEDD3qdXVMfC22U4yfR48pt4TUzGDghpb1OZvUOPidhiBsBFIlQq5YRBbVISBKrfJCDggsI9wE4JqMI/1QzrT/f0aiwnci2I4l3Ph0sjeV+pgh3K6TYC9HTffT6SptfmCfl2eVbWdEbRM5R4Im0gENtX5BX9t1gfkcOAaw4svfLKhBGRQm0mDwXrq5XHr0U5NMPiewy7VBnrVdRIM9Zc6PiwalqmrK+Y7L+z5q5qvZmfvHf+0een5ExpeD512qys3TarGr5aCuSf/ek2VJb6Tgj+doAJuo9bu26CsiyC8blwtoTI0elWEuXuqj2CEsRz+DxCCCuDsRzsf7xMVI5CyuFPhYKYdO3ncvMz0GbZ2W6YbRizhKOEf3o9Fg5eh6QQHfhUddFZM+4gYJeizjtkCYQMs5fwQ+qMSVFC/Mz/3oGJUnCT2FX7uEZU6lEAB/atUpLzvblIMYac4H8myZlNuK50YpL4B9ViRChjtRkDu5lbJejY4rlm3/KypTlgl0zoZ5pyhAooDP79rU1mNtd/+o+r4WebziuLeChY2n/UcLG778xHSBZTZf9UnrCnhCgt/r8x8z4gTA+FH47L1VcWTMu1YqnrfGfbeKmrzNykfHnc6WyIQlkWFvxNEtnwEPGhGIDgE9mk2V2UL0pqNuh7oGHTHJDNdR5Q2kF8TacrU2Y9Gr67fVB7lFoMq75QOdyo65ul7c7+QsmS1eASa29Dop+i6Uy+hsiKfTgnAWpRrHFctHyqQMQCkNAJ14CIuy5Pt7xGjBnwZmpBCd/+g5q9OUKG7P5UHJv41TS8W4y4Y5ltIgbYRh4JiFoDBPlvj837wrA+p7olrm7r/LVGMJjBIMU6vdPykWoPTzTuUEvjlz5XPazeM8pTgc/vhnZ7bow6MaCgorV3PnYpIBYpJ6/e5uR0W5RYB9f0yg+Cqh5r3uv2DTohRSVp5+iWd+ye/bdrrIXCmiqh0VdlkScubM4+yq3jmfoVJaJCaGzlyKG+XnpgsazYlqKDc56QPME4XlOstaj/qtVvJejaglEAw/jAYKsm0ToY5Z/Yc3UtOsSo+4lOgsRL51LHUkOckuI7q3gpusH4691O5Z704Zheaf0iL6EtHSsWh4ZeJBdvVsfqAVTIRJWgMwxrKikvU5q+1b3zNCEQZgbSQLJRZUBHlp859y7IIHJHBYFUE/9I5nU54qooyDXEoKNK5JUKdw8fV/fG7KSiat4iyK1sPbVemB50YhkbkeXV6kowcuHUaL10LqWjwbJqx2qX6ma5jOKjaTnQaNY+L5Csc167BhVEQ1EhaTrwmXRn9ecF3kpne2fdvMda+BDV/g8IFbmHua3OTmHzRCHHDqZfFfLDKmyuPGFSvDwnTx/O+UebN3baQDCLcPqW1a2s0MHEoYZBfBinFsMufK79yLNZEihmUV1pU+CFKO17nfo66D3VgRHk3Qhiq3ayQfuyEWgEgbFx0TNKKPoUDELpQvwnd/kHblxg09XWajUHNHQdeelC3iUQ7JQsUV/YDz9yJ2aes+F8ipZ1NMUPNtoJam8Jes4vIPbmKdBr0qvJhpVGWMkeJd5PXfiTr2YDCBePXCRW84mOWT6Z1ksImiDmjWw/8ugHUrQVObhajvLeCkPh6uZ/Gvvrlsx4VZ6S0IRV4zHmm+4RC3MW/3Cy+WTxCVywp8ihBI6UEGdSgojZ/gxoXt8MIhI1ASLG0Bbt+CvvJcfuMgAIBbK5Uh0PdIqloJkMS5Q4FhZx8pB4hXFj4FZoE6XokwyBdfjlJaEq6rK4sBqENAvV+RvjHf/vvz0THKu0y1J2zdQEZhBsFEfsgmYk6BBQIyD+yW2zA+PZLOCz0lkG7L2800FPQYr/3c1MvqPnrl9Ft9rG1DNx3pYwZ0iqEIOKXNOgv/fQONW+V4XPKxpkCborsfvNfn/1xhnLWLzc3u8L6VXutc1dDWXpoG5SZFPPjWKqamW1tj/od5crpT5eEikeENQfa4l40qCkBDPoftuWAFaMoXifKoiKfxtJG5xZKh+FGGaCbIihQUJRfI0xzcstBtYn0zQe3KrP9/j5VjeUg3FJRAhtVG8mSVly64aJo84Gtvtc+ShCr2t9a758sazY194+cOGodTsKuKYGQE/5uO5ysZwPdbzgobKwYJtM6Geac0e0J/o3p5N3KTne2dXI/GeW9lTl/sB/rVPV04w9KNEt3rhSTZOy48eum+oqp9/y0twSUVTpXO8O8RZb5DMqlHQVI1OYv1U9OZwSihkBYlsgsqIjak+b+ZAsESuQvpnRJg801mB86DUYKoLV71X7bUd4piFnQG3fK9YgfjV5qvLp03SFFV88pD0zbLxcOV2qeLt+9WszbtiiDn9A3NIxVCDWcnotTfxKdT2nb6Q5tYfSZcs+guxf8uQ6QVjKdq50pwt786vqhygtq/lLaoKp7mmmIyzGwbm9xTq0uxmHHTA/6E8z0HjU6iVEr/1Q2/fnCYeLuVten5y3btUq6hJqX/t160bx8Y1G75CnWJO21TkPPz7sQh8vVe9cp76kLfGxWoA7TZr7Xz1L5S5BVdh7eLcoULEXm2zN01j35pfA2OxOlTR62RUVJuX+gaPvhXVSWNn3dvo1kPtxUUIQ4FBT5jUkFJjAlTPTr2krVR7h0VBGlzakqmyxpJaQ7Q4o2H9jmW1CRj1AScFK6SZY1mwreSlmTUhiHlZ6DsMA+clJtJe21H37WQ9094nU2oH7b6FsQlgP2MSbTOhnmnNG9Z7AXqlOyhh06x++6s23N4vTahIajvLdSDRzztm6pmsbf1U0uErB+QTy1aTI2218bZxmCCzfng0cnvyTOTGkrYhEIq/oXrzRqjH69PLjtd9Tmr9t+czlGINEIBOVu0j4OFlTYEeHvjEAcEIB223qhjluwUzIawCz0SqrgqWgDWsl+NyuU33WnvlGuR/Zqgog7tanKz50jlzgp/9lJd2iwl/XyHYHCL6rfT3y+YJiy2lt/fyre6/aCkbdk5woj2JmyoEy8pcWVVFbSpwd9OHACpKhLV1MIGnpu7R6iT62uoTLhnfpr5oc9f90yg2BO3admV3FunR5Cx5Q0+x3U5/WnXkoKKoYt+UXc0vzKdFP412d/RN721hZXkXmqDJ3WuZ+5O0FqvlFCWDdxQigLB0rzUTUmaxrl5gVlwCzwIqjQBcX1a3Fn7WsyX+eh/P7LdSlMgqIDRW4EY6q6Oq3VBqXrqKoYaTpXDLt8uuRbv1+9N8INdX0hO0lkZKf5C+YXRUt2rRBtKzWnsn2lHz5+WFsvWdZsSmM7KsIs6v0cBjPe+kCjfjag4u1gDGEo0lDPAfeL2nuG6msQc8Zp7wE8vNKafevJKvVL1yLzkBHlvZW24/9lInZU07INjL/rZAw2CA5/Xz1BfLv4R621BQT906VwAy5Rk5Hw+1UJK3S/6yDGGbX5G8SYuA1GIB4IhBH7Cf1mQUU8nh7fgxGwIVCvVG0xnwh6tUG6YPAqqNgi3aRQmk/15b2ciGKY6jSPdW1SWlPYeIARWChPQV31mPPCMkFDx65sfKH4atEPyk3U9M1zxMo9a0SN4tWEzpoCm8fqxVJiHmeiG8hJuKbRBVgNo886DXK4ChlUv6/oKxnx1YtXCeP2gbcZ1PxFUHAdwaLh3NrdBSwSdBqIujZiyUspUlF0qNLWMHG3t4P32Y/LR0vrjnMEmKiTN8ywFzG+g3HZuEw9ZR6VSM1blKcEDlRbSIeAkiI3vthzy0OZiv51laDK0adR71/U2iyDldcv7bwmmHfQ+YCOivsTs6/x/qQsHylrgKD6V1Nj4aCzjNDdn9qPoI7TfEkpWlHAP7ad9h7d58tCdKHUIKUoSEFF2EwPagyJSIfyCNYDleD0C6l4cVnDgb4YqsukJamKdmuC6qJ8sqzZlPtEFRNNhUPYadTaQZ0HvPYnWc8Gut825c7KKzbW8sm0ToY5Z+pqLCb8rk2Ldiy3Qp1+DSG5zqIPBamxRmFvlT4QDxc4zyB+Hv6wL7529L2CUlJEfnuRnIIKCpKDDgJwqp7b9KjNX7f95nKMQKIRCMuiwp8D5ESjwfdnBJIcgZYVmpAjGL1qPJlHZQxb+guVJRqUobUhzUrUph6MBj+kY5TpzHi93os6HIQl2UX/EGxXFwgYTMvVe9cL+Nmn6DaPGuD/x95ZwEtRtX/80CHdIQoioSgSoliYWNhdr93d3fn+7e7GFrsVFVtRUVTAQAVppVvq/s9vde67d++cszN7d+/dXb4Pn8vunpoz35mdmX2e8zyPa5yqLq9ZLdzWPe/veZU6NZ8i7fyNTjanrX9UxkYK/aB56Ze3zPt/fGKyrZjN9fmr76FrxfN2nbYwVw8416zfZr2MjBQyprwz7kPzmg3dFKb8inoCnNDnMGfTB757KlHnMwSc1u8oZ39XRct67tBHUvAozFRUGfbHp0Zh31wSRWntWpmfqbLJZ6AaZ69NccT1Q19j/Dp7fJyhiq6tVjuGSVzGYWP4ymTody1mkCdf3Pu2wvS8O/7j0E3q2WDVhm1D64LCfm16BW/LvX444fNyZekKnhnzsrNJjxhGNucg/1a4DE3p+hVqfX+H14Su3++O/yj2bikHl+v4pstPUij3bJ83sitHTWyQFejguj5n61mlUH8byMDiknRhyVz9fOWu46A++XafdM01G+dM79brOjG9Pe4DZ52r4uup3zvvZ92brenqVlqej89WWryihTda2JaJB2+wcwodfEyvg4KPRfXq+v7+luNnznw7f4vqoLIzRU0AQ0VRH152bmUj0M8qB13y5u/v24jnJa7qcuVq+6wNk+KSHhE8KlwPc5l6VPhCi/hCTLj2wVXucmHOVjJi13aPsl4Vrh9w743/xJz3wdWurmbTVTdIeFw4GxRQhSsHwrylCyp1L1ZvvKrzeMjAkKl8OeVbs8WTexnFez3t3UvNJo/van5weEJlso3KOH9dP+aUrC9TkdfBts/sb856/wpzwYf/NVs9uXcid0sm4ynUVD9Hsm4l1H7+59cTru5hY6uvDC1xpUndRs7zRWO9MvadSENOt2H6zhl2Vdq26Vbv1Xckn9eq3UxW7vquv3GV6G1Xae3cv2//HOWsWxkqXPkSpPjNtVfZxu3XdyJ++/cPnXVhFW/89p7zPFuj8WppDZm+sEGvjh0atklnmcI+jZ4RvoJWnXzeJM5BHRUuQ1Mm3znHJvKqeMc1tnLO506PV1hYJynYzhp2RVhVokxGVp/is1Du2b7E9blQeDuBOipci0UqogBN3lSh/jZwfbe1b77zMnnf47wvpPtkLs8ZLeRyGdEnzZsa6nnn4/zkmBec1etEWISXb89WD3//tNnS/qY48Z0LrDfE2WbAE3skFkI5dzJNhe85vqvHuyXNsFVe7TqHRljDVS4l387fXO4rY0MgmwRytUAYj4psHiXGgkBEAk1sjGnFnQyT+UsWmC+njAyrCi37fNII54oTdUgXw1NtXMk55yzJzKOiXQO3cuu32X9ok1mRWjXCV7TmIgZt8oR1/PbptnNyUZn3WtXqklPt6v5ikWZ2xX6YRFlFHtYv0zKFLVq7eZfQ7sNs/gCXa3Roh38LZZA49u1zyyjwpMA6wf7AyJoSoBLO3w3a9Q7dTR0jGUXjilZrH/jqieVCJF0//G4zxqNg9G3npL6HO6sv/+QmZ51yWGQiOl/Wb93T2fW1X4eaFSV+Y7EMxKe9e4kz5F7y4L+nueb54uJmktdHK+5dhtS411955CjxeZgMHfdRpP0P61sMZT1buUOO6RzKpShkm0ue/ekVV1Vo+eOj3MqgKKGWtlhtY+f59uHEz2NdL58Z4557RfJthe24Twkd1r7Qy7RIQgzDRF6gZw+7ssz9LqydynRtPOHt88vdA1LbK4ypSwrlnl2vVl3XLliFd3YSVjs3EKGids3aoa2y9QxcbL8NBCsXz6eFdJ/M9Tmzp8115pLn7MKTqKLnbD1juGSdFt1dVaXl+fRspd8UN391f+nc9Ea/KbQQStffuPLID88aLYxzyXqt1nZV5X2569lKv+XGzhqX0/nn0/mb0x1lcAhkkQCGiizCZCgI5AOB/W3cfJeca1fpRln1o8SZ53pW72/Svl/aGJ6aQ1NHLPt07vuu+fsMFb/PyZ6hwrUyKBcxaFP39egMXG6lKFizacfUoQr2c6v64SF0Mg1ZUxEQ+3R3G46u/PSWWEMrnMUhr58aqrSRon709J9jjedqXBnn725dtndt3ohLnGOl1fj7vHSskadDmCjJXyaiHBM9Y/6oUmL0iiQK3H6NLZ1T1Yr4W766z1m/ZPnShJHCF9c/ufOoGf7zxReqac7izIzFikkfJpl4tK3bIlwhr+/CzV+6OYVtv5jK1mnpVpTIcJdJvpOofLRtl9JZoct84SCTt3HPt48l8iollyW/P6DH7skfQ98rhNLOnQeG1kkRc9FH14bWpRYOtx5sg0cNSS0u/Xxwj71K32fjjS+sz7IVy7Kxibwb47jeBzvnpOv3YW+c7lXkSqF2wCvHmyjeVGNnu0PiaRKFcM/2Ja7PRvJh58GIWFG7eq3Qltl6Bi7U3wa+nFtRfluFQk1TWCj3yVyfM7t7jOjyKIiiaNZ94+ShFzmJN6i9itnc5jdLJ/n0bDXyrzHO6V792a3OutQKPXcd89Y55qYv702tKv28rn0+UD6LQpWeLd1GlrPevzxW1Im4DPLp/I07d9pDoKoIrIgRCSbOHMOXI8cZgbYQgEBGBLZefdOEEUEPHakiRdneLx1tbh94lVEcyjBRv4NePcnrTXHuRieGdS1X5lp1IiWmfrD73KjLDWYLfAnOfKvsNJZyOyhPxyzLIFWqV6ueePhSbH89bLtWyo+xydf0o1uKCM1dCRGlTNGDW027ir2Wza3QsHYD07x+07RhLVLnEHzWD9h919rFPO2Jpx20DV6LyZtC++RShupHhlatufIjBDyy+bptpy3MpZ/cGGpcUDzYG7+8x5y6/tHehKFSLN5g2ykUik98oXXy7fxtY1fQ6kdLmFJd3lvHvXWuuXmby00j+31wiX7YPz76eW+CePV1KU5d4yaXn7vhCVYBdkJykfd9pt4UwaC7dtnO3P3tYKfRRavVFJJKxsVkUbino944M9YKuHSGLdf1V9udvGBaRvlV2q7SKnTfdMzlDeJT5CTvr95rdZsrhNqTY140jeo0sLGS/2O/W24nXRl3htuYzJ9PHmHq1qxj/tNjT+99InUO+fhZyeDluaLrXaqo7JDXTzG3bnNF2lB/Cnf04R+fm9+sEX+LDhtFNsAdtd4BCWNj6rb1WUZIxcI+0rZxHWsdu7u+eSSse6JMeWy6Nl3DWZ9cccg6e5sXf3kzuaj0vVZ9KnTelQPONvL2CROtNj3OerC5RAonX26ooJ9W4T5klWEy1iiPTqoolI2eC/RM8Nnkr1KrSz+/aj1i9Iyg54agj94nniXsM4SeK3T/c+1P6UB59kYGpYe+ezqRiDVsat/9OToR1k+hxfrYePMKr7esZHlCuahjlO7emDymrnvbd3IbhPPlnp085xmLZhmF6tMxr2O9FfTMqOeYsFX42fKsTN5+3PfVqlUL7RJnAULoAP8Wuu5NVfHbwDfPOHW5CtlVKPfJXJ8zui5utfomztX+B9rnvOu3vNh5n9PzyRnvX2a+nvqd87CetcFxkRTxrvNXA1f2s1V1x3dVc1GYWeXj6NvGneND5608NW+0Boqw65HGCUR8Cln0m8UlMpbLiHWVzbHn+92i82jUXz8Zhcea+/d8s2e3QZEWCubT+etiQDkE8o1ArjwqMFTk25FmPisNAf3QvXyzs8wpjlUjE+ZONrs+d5h9cOlpBnXe2io7Vk/8cFbi1s8mfW2G2uSHUjq5ZK9uOxkpUqKIL7nsFOtqGXWc5G1JsSCDS6rM9qwQ1g9hhRSoqIyY9r3RXzqRkukG+8Cs0BWZyNHrHRTZUFFs3hTi5VNMa9V9pyarZYI1oz5SKBy27r7m/pFPhPZ/9Ich5isbUu243ockFPcK3yWRcUIhi57+8eVEgrvQzkmFnZt0NB0bd0gq+d/bfD1/ZSA74o0z/jfRpHf6nuz47EHmvP4nJcLRyVNBIiXMWHutednma5ACMkwZmzRMQmG7bafNk4tivVdyVcW617UtnSgUUUW2pfGlVL9o41MTsYJd21McYSl6t1l9s4TS8z2bcHjwqOdieaFo7NHWcOoTl8FPfabMn+br6qxrZ4+ja9Wz7htSwkYVeebdkhKyILmvVuXLuLxX90E2BFs3s3rj9vaH4Twz3Sr9fp09LhG+IVXpoKSIN251afIwBfm+f9s+CeN62OQVk3vPF46yK8d3MX3arGN6WDYysk+3npDTFk43X0z+xrz3x8dlPC+e++k188LuD0S6duqH9+AfnnMqnZWEXga33bvsYI1u65k2DVqZJcuWmM+twejTiV+mvUeeucGxYbsVWqZrvQwJT415KbRehi7F4x64+gCz5eobJ54ptGhg5LTR5tNJXxmFiPJdYy7Y+BRneKnkDZ70zoVp9yu5vev9pR/f4KoqU75h297mru3+6zXSlelQxR/0zHP7tleZ3Z4/3Mlb1wct9MjUQy7YRSnefJIP9+xgflPt88oBLx8f+swatEl9PeS1U6zRta79Tv+zCEaLZ+pYI6wMWso/1dAacHdZc1ujRUk+I27quLoHamHAcmsg+nPBjNTqMp+nLQz3btR3Sdcel9SoXt0+B61lZPBXXHaX5MtvA81Pitpbv3rA/DzrN6NE5guWLHRN21t+78jHvHkBVqld3xzRc3+zeYf+3nFSK6vyPplP54y4nN//ZPOB9UwOu6bLyHXS0AsTi/B267q9DU/c1bS0xo1pC6YnjMfv//GpN5eFnlF36bJtKv7Qz/n0bNWxUfjvhmDiJw29wFy35UVG51EgOud/nvmrzdX2hpHxPIxn0DZ4ladxXA/loG++vMpA7jIQa44fTfjCbP/MAYkFLwoB1rXZGmbJiqVGUSb03CWveP0lG2xftwvQhu73dOL6nG4/8+X8TTdP6iGQLwQwVOTLkWAeEMgiAT0I66FEq7BdIgVPqpLH1TYo149RX9z3oF3wumrDtsHbcq8KPZKJoaLVKi1Cf/TN9yRafvP3YeW2n8sCPfTdZEOXZGqoaG5zNOzdfSdvMvNg/sXmTaH9cnn7qE4rzyvTUKFtalX38z+9HnreqV5JWvUDSaKHYD3ERnnwT3Sw/+l7dc0W5wUfy73m6/krY6cU+y7FkxRTSoot0T7WtEqW5Af8cjsaUnDBRifbXDdNQmqiF2kV2B4vHJm2w7H2OLtWiaftnNRAxkP9oNMqYpfI8OUyfiX30Y9nKbvCzqdxcyd4vRgC41DyeMF7n2E3aBP22rp+i7DiRJlWl8UxVOhH4FHrHWjuG/m4c0yFlLph+D3O+tQKrbJXH981JLVPPn6+wnoJ7DTkYO8Kx2esEVR/UeWWr+83N299edrm+g5cs/l5Xk8kfbcVTskXUilsQ4dao6/Pcyysj5SeUqZom2Gi74by4sTNjaPzT8redKJVplEWKKQbJ079F9boI4+9ATGVmnG2ke22ep67crOzzXkfXJPtocuMFyXMZ1Xfs4MJv/zLW87nhqBN6qvukenuk1KondDn0MT1M7V/2Gcp4H2eRWF9XGUyEvtEXkfydLvCLphySb78NtD8HvzuKSMvsIqKrk+ua1QwthaQvbf/s7GeaarqPplv54wYajHJ6daD+brhdwVIy73q/u9bAFGuw78Fl2xyRuTnv3x6turVukfCC8R1zdD9Swv1ZMDVQiotFkp3nqYykuG8GBaA6HfILfYZ6Kg33dcm8dIimaiiKBQv2BwpWjiSTvLl/E03T+ohkC8E5MGUC3H76edia4wJAQiUI3D9VhebTo4V2uUaRyw4za6g9q2SSh1GKy1dkqmbtELOhIlvvMnzp4Z1yWmZHpbn2NW/mYp+aKeTYvSm0D6v2sht4JprwydUtmgl481bXxZp5a0ecsOUyr45373tf72hUPL5/I1qSBAT1w8pF5vjrZfKHl13dFVHLl/Deo0N7DjA214GJl/eDW/nkMrL7I9e/SiqiKj/7QOvToRJCRtHTH0h79rYME0uyTS8SFvPNV2hTeKKPJGiJFaOM66UZIUuMs5FMSrE2c843z+tRv3vFhX3Qkyen+J/H20NU3FF383BO90WKSRHnLEvtd/RKKJQV1UhWgFcaLLDGlslVu9WdN7/t8UFztBmUbwIqvqeHey/PJRzJU+Ojq5c/2baD7maRui4vvBn6pAvvw00lw8mfKaXSpMvbJjCuFIV98l8O2cCZgf22MP44v0H7eK8yut2AxuSM6rk07NVPet9FSW3oe7/8kiPa6RQuC159+maWgyi0KtHWs+mbEqcZ6t8OH+zue+MBYFcEggLtZqN7WGoyAZFxoBABQjo4eXhQTcb38qPOMNrVeNBNv53HPElv/YlnPRtY+3mXUOrtVrEJYqLXNmi+cRZXZw6P7kW72hDc/nktH5uF3xfv3yv84UFyFXCwnRMtEL+LmtQyKZIEX3bNlcmchb4xs3n81d5Y57e9e6s5wU41iZnjfLjy8ctue60fkcnfyz3/vB194udM6fcIEkF8vp5cfcHY62cTOqeMHLcu921CWNzt2adk6vKvP911rgyn5M/KM69y1iiUCKZSPfmXZzdFNoirii+8i02l4mU0dkQeVLIvb8YRIoTeZxkS/Zfa7dYQykPwPkbnRSrj6uxwvk9t9t9GR9nLbp4YIcbsmKs0Hfivu2vS4QGcc03uVzPUDKyVLasUYkhDrO5bzIKP7jjjYnVz3HH1bG5YatLjPKYbOcI+Rc1v0lV3rOD/W5QK3fnTb1adYPNpH1dYpWUlSkN0+x3vvw2EJOllWzYzuR3QVXcJ/PtnEk+fy/e5LQKh+kMxtOCr1vtc3gcybdnqwPX3iMn9ygt3tH1OIpxOA6/qm57fJ/DEqF6szUPheKLI1V9/saZK20hUJUEcuNPYcM0V+VOsW0IQOAfAlIivrjHQ4kwQpky0Rh6UDm8536xh9BKZpe44vG72gflrlAInRq78xZsZcM7KAdAZYrifPuSnEWZi+Kxu0QP15W9T665ZLtcSXHlIhsmvpVMYe2zWSbF4aM73erNoRF1ezp+7+z7lDPxX/I4+X7+KpTLkN3uNXIPr6jo+D65y51GYZiyKVKMKNF1mEg5tv/a8ZS4YeOklnVo1M68tOdDsT0GNJ+HdrgxkUdIY65njWQuUSg0n7iU9uu06Obr5qxbyxoqwowKmnOm300ZZfVdULi7iogUykrgXkyi8C4ykPry9kTZ32N6HRTpWpM6lsIZ6Jqn54BMReHhdH2o6D6sYxNhvrbX4AopGLo3X9M8vcvdaY3Dqft6XK+DnUa/1LbZ+KyFDtt2zDw3TzbmUJExlDD7rb2fMKesf2To9SJsbPV5cuc7S8Nx7dB5q3LMdZ05L4bxrKru2cH+6TkwV6J8cVGlsmPL75xGcZcvvw3Er48NYVlZou/1Ru36ZrS5yr5P5ts5kwxN4Qmv3eJCc/Emp5e7RiS3873XtUQLYm4beGVG3gL59Gyl30wv7vGg0f0tG6JxxPfSTaOHw8rGditrDP02f2TQreac/idUaPGDvs/yto/7fJQP529lsWY7EKgIgZKSFRXp7uxbzSa/yJURxLnRilSM/HOUOeS1U0uH0A360UG3lH7mDQQKnYDipT/4/VNm2B/R3JwVF3U/uwJzN6vcq8hqiiE/vWqu+fz20nA4iR+a/U80cX5kpbJXXG7FLQ/cLTWmFHvpHqx/nDE2Eb9cMe90hdIFcHniIliSeF1hC/8pW26T3CZamRUr/mmzwiYgVFtd2vSa+ln91KepjQHaw4bN2LBdn9Rpx/qs5OZ7v+heBf7c7vcVraFCoN747X0b6/rqMsz0w+AJq8Suahdkhdx56IdnbILXF8skrC0z2ZAPepjdpuNmZsc1trZK6HVDWviLCuH8fdcmhr7n28E2Ud9v/p1JqtX3d8Cq/c12a2yeSIqrz7mQGTYJ874vH1vumClZuhRquRKdL9cPv9s889MrpddB17Z26ryNOdV6SiUna1Q4sc2e2D207z3bX+s1ECUSsdvk3YqjG4jCsygHQaaiZNrnDLsqEUYgGEM/+OKu2A/6Jr/+PvsPc8knN3jzeyS313sZNXdbc7uE0qFmkYQnSN1HuT8/Nup5c8eIh0rve6ltUj/re9SrVQ+jkI1S8ldEdA4+be+7SsY7faHfOKbtyANBiwqOs4qgTHJR+eaqO7OSrA+2Cb2VHyidiMP6rXsmEtgr7EOmIgafTf7aLLPx/hNPB/Z+r3u+ngX+ebXPB/afjtVy+9yQ+JdUr+tAooXqE88LtoUtC96rby2bOLm9ze2lPGPKVVUMov0aMfUH8864D8zvcyaYqfP/NIuX/524xsm42L6BTWJrFdthuaf0HPSWfRZoYY3hGmdX+z0PM5Sm41RV92zN68sp35rb7Pd2/JyJNlnz0sT3V/PJVPQcseVqG5tz7XO0FJRRJfW5OaxfcO9VPimJPuv5X0m8a9jXWjVqJeL4K2l2zWo1E16Ieq/zVm1XsZ5xfe13TQub0v1uyJffBhPmTjbHv3OeN9FyOi7VLQMxkgJSSdDFT/ciPauqr+ra2XP94B57ZUWZXFn3yXw7Z8LO2Snzp5lH7L3gBZsYOvhNGNYuKNOCikGdtzaHrrtPhbze8/HZSveeW79+MJE7Ku41Ruepfpscss7eZs2mHQNcRf+qEM03fXmvefGXNyPvq+5B+s1y5obHlnlWjzxAUsOqOn+TpsBbCOQFgRPtb1XlZkuWCzc+pUL6wuSxkt9jqEimwXsI5BEBKawUe3T83ElGN0g9WOsHdRP746epjYutlU5SbmQamilsV5U/QhefRnUa2h8x62YlxIoewj6d9JVZYn/4aUwlCSsmOeatc4wrlu1mHTZMhAwqpv0N2xedN0oaOfvvOXZVeQ8j45nO13ySsTb0jhKfSvkydcGfRkndFXatSZ3GNuxP48R5qe9Vl2advHko8mmfsjEXKTM/nPiFmTRvipliucxZPDfxg12GvH+uNf+wUVLN3q3WSdRlY7vpxlBuBiX/HmONljXtDzNd6wZ2GlAp55UUna+MfSeRmFcJYcVI50bnpqubNZt0tPPY3JlX6I3f3iuXpHaT9v3MHduWNeaF7b8UfJ9PGmGVg4vN+m3Wq9CP8+Txv/trjD2+U60SvFvWldEK8fbzrN/M6Ok/m1HTfzLyHJHiR2EzGtduaJrVa2LWadHdGqfXssqx+CGnkvej0N7rOjPKchEbKXJ1L1QYGLHRPbajDX+l87pjkw45Oa+loBlrE+pK8SrFyGz7TKHvtO7BMrD1tSuUfaFdssl7wrzJifNj/JxJZuGyRWbmotmWQQPT1F5//1k00M3eNzpX2Lsxm3NmrKolkG/3bF2ftQBGfzJk6QlHzznVrGGgol65YaSVJFnbkCEhnTEhrH82y/Lpt0FgdMwl+2yy01iVdZ/Mp3PGxVBzHDH1u4QxVPcmGYwW2Geupv/em9par1o9/8TJs+jaVlCer89WMqZ/MOHzhPHmx5ljjfIsJRsutJBAz95aRKBXhRmU5/bK9iwVHEe96llGz+X/PHP+nDBcVrOeF2KiZwoZiBWGVc9W8iLPtlTF+ZvtfWA8CFSEQJih4vyNTraJ6neuyLChfTFUhGKhEAIQgEB6AnpQOuCVE5wNn9/9/oRBydmACghAoOgISCkh789J1sC8lnXNVxgmBAIQgAAEIAABCEAAAi4Cc5fMN3/bZ0h56lW1gdI1R8ohAIGVl0C4oeIka6jYJetQamZ9RAaEAAQgsJIQuPaLO517qnAavvi+zo5UQAACBU1AYT4qGlKuoAEweQhAAAIQgAAEIACBWAQaWY9Loz8EAhCAQIEQkKdjLoRk2rmgypgQgEDRE1BYLsWAd8lp/dx5K1x9KIcABCAAAQhAAAIQgAAEIAABCEAAAhCAQD4TUHi9XAiGilxQZUwIQKDoCVzn8abYcrVNnDHsix4MOwgBCEAAAhCAAAQgAAEIQAACEIAABCBQtATwqCjaQ8uOQQAChUZg+JRvzegZvzinfcr6RzjrqIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQMESIPRTwR46Jg4BCBQZgeuH3+Xco61W38R0bNzBWU8FBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQKlcAKsyInUyf0U06wMigEIFCsBD6b9LX5eeZvzt07bX1yUzjhUAEBCEAAAhCAAAQgAAEIQAACEIAABCBQ0ARy5FBhMFQU9GnB5CEAgcomcP3wu52bHNhxgOnQqJ2zngoIQAACEIAABCAAAQhAAAIQgAAEIAABCBQygZISPCoK+fgxdwhAoAgIfDxxuPl19jjnnpxMbgonGyogAAEIQAACEIAABCAAAQhAAAIQgAAECp9AiSnJyU7gUZETrAwKAQgUI4EbPN4U23XawnRoiDdFMR539gkCEIAABCAAAQhAAAIQgAAEIAABCEDgHwIrchT7CUMFZxgEIACBCAQ+nPC5+X3OBGfLk/se4ayjAgIQgAAEIAABCEAAAhCAAAQgAAEIQAACxUAAj4piOIrsAwQgULAEbhh+j3PuO6yxlWnfsI2zngoIQAACEIAABCAAAQhAAAIQgAAEIAABCBQDgRI8KorhMLIPEIBAIRIYZz0pxs+d6Jz6yX0Pd9ZRAQEIQAACEIAABCAAAQhAAAIQgAAEIACBYiGAR0WxHEn2AwIQKDgCX0/9zjnnnTpvY9o2aO2spwICEIAABCAAAQhAAAIQgAAEIAABCEAAAsVCgBwVxXIk2Q8IQKDgCDSv19Q55xPxpnCyoQICEIAABCAAAQhAAAIQgAAEIAABCECguAjgUVFcx5O9gQAECojAgA4bmbWbdyk3432672LarNKyXDkFEIAABCAAAQhAAAIQgAAEIAABCEAAAhAoRgIlJStyslvVczIqg0IAAhAoIgLVq1Uzt25zpdl01Q1K9+roXgeZc/ufWPqZNxCAAAQgAAEIQAACEIAABCAAAQhAAAIQKHYCJTnawZo5GpdhIQABCBQVgRb1m5nbB15lVlircfVq2HiL6uCyMxCAAAQgAAEIQAACEIAABCAAAQhAAAKRCJSU5MZUgbYtEn4aQQACEPiHAEYKzgQIQAACEIAABCAAAQhAAAIQgAAEIACBlZUAOSpW1iPPfkMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAE8oEAHhX5cBSYAwQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEBg5SSQm8BPxhD6aeU8n9hrCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEAsAoR+ioWLxhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCGSTAMm0s0mTsSAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIhFgNBPsXDRGAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgWwSIPRTNmkyFgQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAvEIlOTGp4Jk2vEOA60hAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAislATwqVsrDzk5DAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABNQ+eKQAAEAASURBVPKDQI4cKgweFflxfJkFBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQCCvCeBRkdeHh8lBAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABIqbAIaK4j6+7B0EIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAIL8J5Cj2U8383mtmBwEIQAACEIBANgksWLrQvPnb++bjiV+a9dv0NLt02dY0rN0gm5uIPNbyFcvNx5O+TMynVf3mZp/uu5j2DdtE7k9DCEAAAhCAAAQgAAEIQAACEIAABCqXwAoMFZULnK1BAAIQgAAEio3AhHmTzW7PH25kIJC8/8cn5o5vHjZD933a1K9Vr1J3d8nypWbPF480E+ZOLt3uIz88a57Y+Q6zdouupWW8gQAEIAABCEAAAhCAAAQgAAEIQCB/CBD6KX+OBTOBAAQgAAEIFCSBe799vNRIEezAwqWLzIhp3wcfK+313fEflzFSBBt+9dehwVteIQABCEAAAhCAAAQgAAEIQAACEMgzAhgq8uyAMB0IQAACEIBAoRH4bPJXoVOetuCv0PJcFn46KXwuUxf8mcvNMjYEIAABCEAAAhCAAAQgAAEIQAACFSCQo8hPpnoF5kRXCEAAAhCAAAQKiMCsxXNCZ7u85J9QUKGVOSp0GSRWlKzI0RYZFgIQgAAEIAABCEAAAhCAAAQgAIGKEyip+BAhI5BMOwQKRRCAAAQgAIFiJBDkpkjdt3o166YW5fzzvCXzQ7dRt0blzyV0IhkW/jp7nHn4+2eNjD/bddrCbNJ+fVOzOo9bGeKkGwQgAIGCJTB41BDz5ZSRpmfLtcyOnbc27Rq0Lth9KdaJc88u1iPLfkEAAhCAQK4J5Cr0E7+cc33kGB8CEIAABCCQBwQWL/vbOYu6VWCoWLB0Yeh8Kjupd+gkMizUw9ohr51q5i9ZkBjh9V/fNXVq1Da3DbzKbNC2V4aj0g0CEIAABAqNwLM/vmpuGH5PYtofTvjc3D7iIbPpqhuYW7e50lSvVq3Qdqco58s9uygPKzsFAQhAAAKVRIDQT5UEms1AAAIQgAAEipHA38uXOHerKowDS5YvDZ1PVcwldCIZFP4887dSI0XQXdxPffdi4zMUBW15hQAEIACB4iAwdNyH5Xbk44nDzaM/PFOunIKqIcA9u2q4s1UIQAACECgOArnyqCBHRXGcH+wFBCAAAQhAwEtgic9QUbOet28uKpcWoaFi3JwJoagWLl1k/lo0I7SOQghAAAIQKD4C4+ZODN2pkX+OCS2nsPIJcM+ufOZsEQIQgAAEiodASY5cKjBUFM85wp5AAAIQgAAEnAQWL3eHfqoKL4YlKxweFVUQhsoJLWZFfY/BZ9HSxTFHozkEIAABCBQqgbo16oROfaEj7GFoYwpzSoB7dk7xMjgEIAABCBQ9gdwk08ZQUfQnDjsIAQhAAAIQMGbZ8mVODHVrhitUnB2yUOHyqKjnUfZnYbM5HWKV2vWd4y9ctshZRwUEIAABCBQXgQa1VwndIe4FoViqpJB7dpVgZ6MQgAAEIFAkBHJjpjAGQ0WRnCDsBgQgAAEIQMBHYGmJ21BRx7Hy0zdeReuWlSwPHaJOzdqh5YVQ6FJMae7VDclTC+EYMkcIQAAC2SDguh9Uq8bP72zwzcYYrmOksblnZ4MwY0AAAhCAQDETIPRTMR9d9g0CEIAABCCQYwJej4oa+WMcqArvjmyhb1ArfAWtxq9fy+1tka3tMw4EIAABCOQHgYYOj4pValV+Tqj8IJJ/s+CenX/HhBlBAAIQgEDhECCZduEcK2YKAQhAAAIQyDsCSx05ITTR2lVgqFi+ItyjwhXXO++AhkxoFY8xokb1GiE9KIIABCAAgWIk4FKC16xesxh3tyD3iXt2QR42Jg0BCEAAAnlCAENFnhwIpgEBCEAAAhAoRALLHIYB7UvdPEpgXRVhqLJ1POt5ONashqEiW5wZBwIQSE9gRUmJmb5wpvll1u9mzt/z0negRVYJuO4HNQj9lFXOFRnMdYw0JvfsipClLwQgAAEIrAwE7KNmToQlHTnByqAQgAAEIFDMBKT0+Wba9+aHv3400xfNMjMXzzaz/55ratmVkq1XaWla129h1m7R1Wyx2saJslyxkFfCxPlTzJzFc41iLa/asJ31jqgVujlXTgg1rl6t4vkTtKLizwXTzV8LZxitGO3QqJ3xrVYMnaQtLOQcFStKVrh2yzKu2rjkUlp+OeUb89bvH5jxcyeaPxdONzPsuatzqEndxqZFvWZmnZbdzFarb2r6tl43cQydO0NFGQILly4yv80eb9o0aJXgWKYy5gcpll//7T3z1dSRiWM0fdFMM+/v+aaW/V63tMeofcO2ZtNVN0hcW9rYa02xytQFf5lPJg43HRt3MH3arGszvFT8GlWsrIL9mrtkvvngj08T3/ER9v6k8zJZdI/o0byrObznfmbDdn2Sq7L2XtscZufwwYTPzeT5U+39YKaZZe+P8ihraq8zreu3NBu06222tPfGbs06Z227P8381WiftX89W62ddlzdr3T9W7R0sf1OtcnJ9dm1yrCq7wXJcHS//mDCZ2b09F/MX4tmJO7fYtKlWSeznuXYu9U69r7QPblLUb3P53t2UYFmZyAAAQhAoEgJ5MZSgaGiSE8XdgsCEIAABLJLYMHShebJMS+Zp8a8mFilGmV0KWd2XGNrc0a/oxPK4Ch90rUZ+eco8/LYd8z74z9JGEhS2/9jsGhrOjVeLaFo2K3L9tZjoo5ZtiI8mXZFQhJNmDfZvGrnIsXqhLmTU6di6tiQUu0atLbKxtVMV6v42KvbTqZl/eYJ5Xi5xv8WFHLop+WOBOHatRrVq8ZQIcXhbV8/aJ7/+XXz9/IlodinWaWw/kZN/8k8PeblxHE7vs+h5sC1dy94g8VD3z+d2Kf5SxeYHi26mUs3Od20tedktuSB755M8A3GO7Ln/ubEvocHHyO/Dp/yrbl++F3m55m/hfbRsZu/ZIH5fc4E87FV4P/389tNH2tQOn+jk82aTTuG9olS+M20H8xzP71mxs4eZzZp38/ssMZWFRrvxxljze0jHrIG3JkJY8qgzlubDtaAGlVk9D3qjbPMr3Y+gTSu08g8ucudiWtJUBb2Onr6z+brad/Zc3l6wsgjY4eMp3OXzLMG41rm2i0vNBu27R3WtaDLpHC/+av7zCv2WuwTnT9fWGOl/nZec1tzXv8Tbe6c7ORL0L3g2i/uNB9N+CJ8CjbSn65Fk+ZNTRgU7v7m0YRRX3OQQT9TmbV4jtn7paPL3JOb1W1iXt3r0TL7JoPsW78Ps/fwF80f9l41xy4sSJYuTTslDGI7dx6YNcX8Usc9t6pDP4nFcz+/Zh787mkzdcGfyRhK38uYPXTcR4nPXZutYc7Z8ETT1xoMMxE9e3w5ZaR5d/zHiXvQNh03M5t36J/JUKV9ZAR6bNRz5vFRL5hFyxabbTsNMGducFzi3lXaKMKbfLxnR5g2TSAAAQhAAAJ5QSBXybSr2YFzYwLJETYpaA557dTS0bVq5tFBt5R+5g0EIAABCEAgmwSkILzpy3vNsz+96lWw+7Yphf3Vm59ntrar1TOVMTN+MZd8fL1TkekaV9s+qMee1liwqrnoo+vKNVP9Fwe/Vq7cVyDF2P99cYd5267OjyvbddoisaJ335eODe363O73mc5NOobW5VOhVr6fPPRC89Os3yKdF/K0qW9DQ2llvJSm8r6pYw1I9eyfwl0pBIUMSvKIUX3rVVqY3brs4PSQicLinXEfJs6Z1JXVUfqqjRTED+54Q0Ecj7B9uuubR8w93z5Wpkrn+/v7DymjxCzTIMYHGQxOfOeCcj0u3PiUhFGuXEVIgRStV312S6lSMKRJ2qL919rNnN3/+NheB1LsH/DKCeXGv2e7/8toxb2ME9s8tW+58R4ZdLM1mvYoVx5WcPp7l5r3rBE2VfbsNshctPH/nv9VL4Xrx5O+TCigtYo/3Xmu8/mDA55LHbpgP8tL6u5vHzUylolFXJFC/4U9HrTf84Zxu5a2lxL6vpGPl/uelTaI8Ea/5e7a9pqMPPDO//C/5vVf3y23lSs2O9saYwZadXaJecgq5O//7om050cwyLVbXGgV35sHHyO9Pj76BaPrjYxB6USLA2TAr129tr0f1EzcC5QnKrgHyFive4PuBzJq1LV1Muas1bxLuqHT1uuecM1nt4UuckjXuZf9Dt+w1SWmeb2m6ZqW1stjYb+Xjyv33CKD6BWbnZWRIVzn3ClDLzaf2O9+suy31q7mXGv4ckkh3LNdc6ccAhCAAAQgUNUE9JtHv32SRQuSrhpwbnJRVt7jUZEVjAwCAQhAAALFSGDy/GnmqDfPTKwCrcj+ydhxxnuXmSPXO8Cc2Oew2EPd/NX95mG7MjwT0balyHJJXI8KKQTPeP/yjBRjmoNWterPJVWR2Ns1F1/5Uz++ZEZb41FUkcdCXLn7m8Fm6H5PZxSW5E6rNLs3RUkfd/tadbyPNSg9tMONkcKpxB0/l+3lAZVqpND29H14wioV9V2sqFzz+W2hQ8grRd5D6USrmfd96bhyq7vT9Uut1ypxhW2RgjVOWBmdI2Hy9I8vZ2SoGGxXOIeJlLhRDRVfT/0+bAgzznqSJItWZ8twG0UxHPTT+fz77D9MpyarBUUF+7p42d9WWXtRwjsi052Q98rxb59nBu90a6zzJtiePAaOefPshIdEUJbJ63d/jrbXmWPsPG4zMp5EFRmmwowU6v/RxC/MALtq/7R3L4k9v7OHXWm/TzMTHmVR5iIO11lvkqgio1KYB6Kvv65lF1tvsD267uBr5qyTwebG4feawaOGONukq/jWLhbc44UjzWM73xbZS+oH66UX5iX2hvXC1DX6lm0uj21g1fFJNVJo7k9Zj1d5Ajaq3SB0V/L9nh06aQohAAEIQAACeUwgV14PVROHII9BMzUIQAACEICACEh5svNzh1TYSJFM8/6RT5gbht+TXOR9rxWzWjGaqZHCO/i/lVq9H1We//kNc6pV/GSyejfqNuLMJ+qYuWj32aSvczFsmTGlSFQelLii0DsVNVIE29SxPuyN07P6PQjGzuWrK6SJtulSqMeZj0I1KYxNmMz6e05YcZmyKdYImg0jRTCowrRc9smNwcdIr8pTEiYy0GYiE+ZOCu32iyOcVVjj1JA8QZsgjI7COUk5LsNvHCNFMM5HKSvBgvJCep1tvXD2t6vUFcKpoqJwb/KOiytLli+1IbrOjG0EcG1H36X/vHqSM0RhWD95I7lERozdnz884/nJ8DB21jjX8GXKv/9rTJnPufrw4i9vZjS0niPkgVARI0WwYX0/93rhKKMQb1HEZ6D/0OYxufyTm6IMU9rmJhviLMzjKmiwwuNZlM/37GD+vEIAAhCAAAQKiUCuAjRhqCiks4C5QgACEIBApRBQaKNj3z43Jwp5KQvCVhiG7dgdVuHsWjEa1j6TMoWeiCJSzF4eUxEaZdzUNgqJVAiisByVIWNtkuY4opXmMoj5pHvzNc0RNpeC8ikoZn+6OPUyVpzx/mWJMCq+cfOpTonlXSJl23cVVC4+4GGcLkSLwqEc/dbZXk8KhahSHoET7Aph5ZlZvdGqrt0pLX/pl7fMF5NHlH7O9E2NajUy6lq/Zr3QflqdHkVceXTUt5lNxKxr4aAh/6mQgl4h9ApZtDL+JBtyTrlKsiXyAHIZrVzbUD4KrbD3yWYdNjTH9j7YHGBz3Sg/TDrvPRkrbh/xsG/IMnXKTeAShSaQobci8uD3T0XqrpBNlSG/xbwXBHO685uHjYwCPtH1RiG4NmrfN+21Rl5ph7x2SqRQWjruPnnBLn6IakDRPjzy/TPO4XQva2KvEy7J13u2a76UQwACEIAABPKfQG58KgpDG5D/R4cZQgACEIBAkRCQEvGEd86P9CO8U+MOZv2265meLdcyUu79NPNX89pv75ZJ7BmGRYl904mUQL6QTan9lddhyYolRquh43g8RFFKzvl7nvWkuDh1k87PbVZpZRrVaWDGz5noTODs6lzViUZd80otl1Lk66nfpRZn/fNG7fpEHlOhNC766Fpnexkk7rb5B3S+pooU3CfbUDJSQoWJVtAqtIbyIRSCSPHWvmEbp9fDy7+8Hcohyr7JG8K3mn3j9ut7h3nQhnHzhX7Z3YZ3Uax17UOyKNzPeR9cY97/o3wOh6CdwrK9t9+zkXKbLLWr4sMkU4VeQ0fIFdd2Ure90KN4lqF02B+fpXaJ/bmiyuvYG8xyByWh/j6Nl5WUzbusuZ3p3XqdRK6bP6yny9U2L4HPiKXExKf3OybSbGXkG2JzNrlEyZfvHHiNaVG/WZkmMrI8bBXNt9hQhi6R96DiHSu5dTpZ7Dlf0vWNUi/D2DkbnpA2h0e3Zp0TRpg4990o209tk+66ktpen3Wd8hmudY1R3olNV92gTHflhDx72FU2MX14yELdJ+6wBpCzbAJrnygXxxarbeT97srLtFPj1crNIXlcXXNPs/lrfHLGhsf6qhNG+Xy7Z3snTCUEIAABCEAgzwnkKuM1hoo8P/BMDwIQgAAEKpfAQ1ZRki6sQd82Pc2FG51SLtb5jlbBcnLfI8w9Ix/zht5p36BN2p3yKZyDzlppvUuXbc26VvGc7ImgPBL//fwO4wt/E4yh5M3p5A67yjVdotp1W3ZPrNIXm2SF5c822fR1X9xlvrSKxiiSvB9R2ldVm8N77meqVauWWOW9rOSfRLbyxHFxalB7lcRUZQgLFFpBv+Bz8r7IqLBv911MW6voiSo32qTvru1LIfXC7g9YxWXL0OE2tAaR5239EW+c4Txv7vv28YIxVGgnB3Xexvk9fN0aFC/Y+OTY8dE17qM/uOO8a9X4LtYTwiV/LZxhbv/6QVd1YvX52RseH1ovA8JNW1+aUDwqvFeYKBzSW7+/n/DGCKtPLgvOv+QyvW9UO7PkykoAHCYu41dq20U2XI9LXOe12ov5jjY57942L0h3m3B40vypibA/YWPNquAq+7AxK6tM4QjD8q4E29d3/E6blFrX4GSRN84dA68yOw05xPndlldFVEPF2e9fmTx8mfcyMDyx8x2hSZKr2W/bYevua7o3W9OcOPSC0utgmQHshwe/e8pcs/l5qcXlPvs8Kso1/rdAXgN9W69relkjjpToP1oPm2s+v9153XzWGmTkeeYT5YV5cuc7bVjHu83kBf8Lm+YyRup8lRdG2L1A20m9H6j9atZD7Ljeh/imUa5OIZ/OG3Z1ufKgQOfJ9VtebJqGeCEop8zTu9xlE2Ef7zxnHh/1vDlgrd0TBuFgzLDXSzY5w3wz7XCvB9kpdiHEkN3uswaLDuWGEA/lUknlktzwv1ucb7o2XSO5qNz7fLxnl5skBRCAAAQgAIECIqBFKLkQDBW5oMqYEIAABCBQkAQUBz2dF0O6hNhSKhxvFQp1a9Qxt379QCiHlvVbhJYHhVLqu5QcQZuLNznNJtbcMfhY5nWL1TY2m9tVjFIsuxLmBh1qpgnzolX6z/38WtA89HUnqxC+fLOzQhOySnlw3/bXJZJfasW+T9mgwaMYTkInUcmF8vw4ar0DE3/BpqXAvvHL8jlIZKT4+MAXg2Y5eZXSzhfD/NJNz3QaKYIJyQPhud3vMwOe2CP0OGk1ula2b9C2V9Alr1/36b6z01AhxfdXU0aafjH3RUr3Z356xbnfu9qV7KvUqu+sV6Jql8gT6YwIq9p1DVq8/G/nSmnl4FDYqHSydPmy0CbyhspEMvXECLY1zxpZ4ooSJl854JwyCXSl7JRyfvzcieWGm74wWhiqch3zoOC64Xc5ZyHD5tO73u1McqzrlUIwhV2fNKjOa+X/aOMwZAYbVrJznwH8lm2uCDVSBP31Ko+Pe7e7zhpFT08uLn3/9rgPzEUbn5o2JJ3uTVFF3h1SyveyCvhkkWGlXYO2zrnIOBRF5EVyz/bXlmna95HtQ6+j51lvqb2sUS3X8qZNWO3yINK1RvdlGVlcojBKD+14o9nh2YNcTcwTY15I61UhQ4jG2dsmTHfd/1V+xOunm1f2eqTc9fN6awDyhTo7ZN19zPadtnTOMajIt3t2MC9eIQABCEAAAoVKIFeGCvfTSaGSYt4QgAAEIACBDAk899NrzpWVGlI/iE/sc1ik0Rc6lChSWle3K/F9ki429j02fI/LSBGMq9WrR/c6KO3K1FppPCoUQ9qlXNC2pDSVotCn8FC7Tdr3M0/ZFZrp8iEUSugn7VOquJRCFVXgpm4n7LPClLiOk8657dfYIqxbuTIp2ffptnO58qDgidHPB2/z/rVFvWYJpahrokPs9z2uvDL2bSdnjXVYz32dQ2qFs8JnueTI9fZPG8c/6PufHnsGb8u9KgdOmJI+teESR5ivOtbImonUru72zoryQ2bG4lmRNyuD8FUDzjW3WsV4o5CQUy6Fe7K3V+SN5UFD5dbwhXy6bZsrnUaKYPo7rzkweBv6Om3Bn6HlyYWPj34u+WOZ91utvknCS6FMoeND3zbrOnMh6Dr26q/vOHr+r9h1vf1fi3/eHdhjD/Pm3o+XM1IE7XxzcSWID/q6XvVdd12PXblcXGNlUq7v2y2OhRIa79otLkh7z1Y7efQdar1gXFLDY+hI7rNGk9UThhF9b12i43nSOxdaT5P/rc5UrpEnx7iN/ArBeOr6R7qGTFvuOocq456ddnI0gAAEIAABCOQ5AZJp5/kBYnoQgAAEIFDYBPTD/i4b/9sla9uQIqf0jf6DeJoN8RImreuHh94J2upHulatu0TKJoXpiSo72JAoinfvkloe5aL6vG/DSLlEYYSO732oq7pcuVavPrTjTeXKi6Vg9uI5obtSGclWFaLEJXvYnAcyXEWVQ61BziVfVUJeDte2Myk/uMfezm5v/T7MzFsy31kfVnH/yCfDihNlWinewZPEe8S074xCM7lE39Wo0rhOIyNPJpdECbW2ZEV4joqaHmWia3sq9ykhl1nlczqZEdHbQfl4Xt9rcCKXgWvMlvWbh1at2rBtaHm+F/o845Q3JjXcU9j+aGW7FLsu6WSVyT5ZYnOavDfenR9lb4+BM2zcY6wh3SWfR0gKP3PRbFf30nJ5kSiPQjoDuHJNhYlyPmUi85bMc3ZLZ6x3doxR8dOMX535JeRtpRBYUUShG1/+5S1n0xb1wr9nYR362JBb8uLwXSdGTPve3GRDGErk/XTGe5eFDZUo0/PHTVtfFuveljpYVd6zU+fCZwhAAAIQgEChEYiyECmTfcKjIhNq9IEABCAAgaIj8MvM370xlC9LhDaKruydafMVhEmrVfw/7BUz27USU+Od1PfwsGG9ZfuttaszUWVqwt7kgWQ0UVJvl5ze7+i03iGpfZV49Jz+J6QWJz77FBihHfKs0LU6M9eGCsU69+VV2bPboFikpACSUilMpGh3KXfC2ld1Wf/2fWwy3EbOacTxqlAiVl/YmxPSGO18Rh4lnPWFjArbAX2vXeJbfR/0cSW5zthQ4Vld7fLeCOai178WpQ/LpHPz4UE3pQ1j1qt12RA/wXaiehYF7fPhVca0jyZ8EToVXTOP7f2f0LqwwlMcq8/loRfmmZI8xpgZPyd/LPNeynd91+LIdp22cCqtR013byvYhut6G9QP7DjAuPK9BG2C19SQUEG5QmIpiX1cmeUwWmucepZVruWjieHni7Z7hr1vpxOFWjrdJq/e58VjnOGjNMauNkdWHIlirBg8aojNszPMnDz0wkRIsrDx9dzy4A43pvXQDOubXOY6h3J9z06eA+8hAAEIQAAChUoAj4pCPXLMGwIQgAAECoKAbwXnpqtuYOQNEEdm/z03tHk6j4pfZ48L7afC3e3K+FZp8lu4Ove2yUPDxJe8evqiGU6jiWJcb9tp87Ah05at1zLaas60A+VZA1ei3ro2cWou5ZdZvzuH79ConTPEirOTrVitUXtn9ZgZY511+VYhT5JD1nF7VQy2eUWirgZSkl+XdG++plnHJpT3yTc2vr9LduuyvavKWd7Bc4xGR1D0upJp10iTt8Y1IZ+hUavx00m6/BFShj8y6GYTJXyTFO8yaiSLruE7pQl/lNw+X977POz2skZInyEudR/WbtHVXLzJ6Ubh4CTK3SDDsXIepZNvpv3gbLJT54GxV7brfFF4tjCZZvNlKGeUT3weFc3qNjFXR0jIHYzftkGr4G2518k2OXtccd3/NU5lKMGH/fFZ6JSVS0O5J8JERhmFttvH5pLY/fnDvd4z6q8cTXHOvWCbMlbcve1/g4+hr+cMu8qMtos2XHLrwCvTJvF29U0ur6p7dvIceA8BCEAAAhCAQFkCNct+5BMEIAABCEBg5STw2eSvnDt+4Np7OOtcFXMdoR/SJaqd4fDE0HaUJDtTcYVe8YXE8K0K1QrwOOGEkue9zKGASpfYO3mMfHzvUk6tkuMVtN/9OcaJI66BLRiojUdxNz3CyvdgnHx43XetXcwd3zwcanTTitpPJ32VyKHim6sSDX8y6Utnk3TeFOr4/fQfnf272KTzcaVxnYbOLr7rSNDJ5bmVLt9M0D/1tbpxO2pH8ahIF4brgR1usMme3Qrl5PloHx7f6Xbz4ti3zC82Z8emq/azoaLiK9OTx6yq959MdJ93g9bYOva0FApOf3FlpOc6080qwDORVjZEl4wSYTJn8dyEISWsTmXzl7rDqCl/ic8Inzpm87pNU4tKP09bMN0ox0Ic8Xmd5TpHhTwhR03/KXS6W6Y8Q+ga8LUNt/Tar0NtXpChodfIsIFkbDi+zyFhVZHK+rXtZe6yxorj3j43UvvkRqf3O8Ybwiy5bbr3VXXPTjcv6iEAAQhAAAKFQCDqYq+4+4KhIi4x2kMAAhCAQFESGOFZ7Rwl/ncqlEXLFqcWJT6nW005y+GJoc5rNF4tdMwohS7jgG8VtOtHfGIuTSowl5LwePW+uUTZx6pus2DJwtApNKj1z+rl0MosFP65cLpzlNUbreqs81W09nju+BSEvjGrqk4hlXbvsoMZ4sjj8fD3z6Q1VNw38nHn9Ns3bGM267Chsz6oWLh0UfC23KtvRXe5xkkFWtE8J+SasWBp+LmY1NX51uVp4ezwb4UvZFQUj4qFy9x8ZGxay+YJiiPyFjiy5/5xuuRlWxnSwkThb9ZttVZYVU7KfNcZnweWbzJK1uwKUybDlY6hS1z5XpRPSvli4khzz3Z8++3ahs/olmvD9dyQ60EwTxlctADhYxsa6u1xHyaMtC6DZdAn9XWT9v0qnBtCY+oYXbbpmeaSj69P3YTzs7w4D15nL2d93IqqumfHnSftIQABCEAAAvlIwK6NyIlgqMgJVgaFAAQgAIFCIiBFhMIehMm6NpxL7Rq1wqq8ZUuXh4etSGeocBkUtDEpRDMVVxgNX5gXVwx7zaFThYwm4YaKTPctX/q5khPHzT0Qd3/m/D3P2SVTBWKrVVo4x5z3d7wE1M6BKrHi8J77OQ0VSjw9fu5EZ4gsKfae++k152xP7nuEsy6o8BkpZGzI1ItBoXPCDBWu61kwH9/rihUrfNXOOt8+RJmPS2koA+bxvQ91breYK3TeuPKibNCud8ZebZkwc3kJaiyFmMtEfKEM53k8JrQtl2GrdUSvm+T5+vJzZGKo8Bnmcp1M25V3QfurkEqZigxjF258ilEy7mzJrl22Mwpd+Nio59IOKaP7lZudk7ZdnAZVdc+OM0faQgACEIAABPKVQK48Ktw+2vlKgnlBAAIQgAAEskzA5znQuUnHjLa2dEV4TPZ0Sora1cONIlLW+RSB6SbpCr1SzZMf3Jdou5En7Eymc6nI/qXbZmXUuww76YxTFZ3b7L/nOIdYLUOPiqZ1wuOYa0NRlM7OCVVRRTu7ctu3yvqebx9zzsyXm0IrvqPkaplrV4e7pL2dW6biC/+U6Zg+Y6lvTL9HRbghOHk8l2J6/dY9bSx8d5ir5DGK7f2MxbOcu5Spt5RzwDQVcz0Gylb1y+YDSTNUabUrX4IauO5ZQWeX11C9WnWDJrFeXfdmhX6KKy4FuMapVzO3ybR9hoq4+6H2evY4utdB5v39h2TVSBHM5fje6UNI6Vnkvh2uy2jRSLCdsNequmeHzYUyCEAAAhCAAAT+IYChgjMBAhCAAARWegJzPSvSfYoUHzhXOIV0Sutm9ZqEDqvxKqIgdhlOXLkrNAnfvv+ZgfIm2DHXfqwoyWwldzBuVb+6Qua4FGDZmq8rzJjGzzSkkM9Lo1YGHkbZ2teKjHNMr/84u7/+67smTMEnZegTY15w9jvBrvSPkqvFd4zaVcBTynecnJNOU7HCZPY99HlnRfluL3aEy2tYp0GaGRdv9UxPzqKKeNhlQsx1fJSYu7rP4u3ZmPJQuCRdjolFSzMLr+jaXqPa4cawaQvDc2i4xlG5z6MiEw9N37ZS63y5pVLb+j4rGf25/U80Hx/4ovVoOsTk4j6mlZinvXepbxqJuro165omHuN52gEcDarqnu2YDsUQgAAEIACBAiOQm9hPGCoK7DRguhCAAAQgkH0CPmVf3Zp1Mtqg6wewS0kfbKSJDQPjkinzp7mq0pbXrRG+ytQ3H99cJs2fmnabrgauZKK+ubjGKoTyTM+hqPtWt4b7HPXFSveNr1BILsl1jHXXdita3qtVD9PVk/T3EZurIlUe+eFZZ4JZhWxS6JIoUteuCHZJRUJpTVkQfk3weUMF83DlhPEpWYO+Ya/Vq7t/Vix35KVJHse5Qj7HK9CT55Bv78OMZ8Ec2zXIPBRgMEacV5eB0meESze+7zpT3+aW8cni5X+HVmdqNGleLzyhtivZd+jG/y10rdT39clWXW3PtSbKNjZs18fcu/115q19njD7rbWr9QAJf3aIMla6Nrd+9YD5YvKIdM0S4e3O//CatO2y1SDX9+xszZNxIAABCEAAAlVJoCRHSSrcvyiqcm/ZNgQgAAEIQKASCYTFeA82v3hZuDIkqA97VUxrl0fFdM8KWY3VtG64R4Xqpsz/Uy8ZSR3HKnifksnnUTFpXuaGCteKUhezjHa4Cjq55p9LRY9203fO/LVwRkYkxs9xGyrWbNIpozHzodMZ/Y5xTuOpMS+Z5O+DvvthxotggBP7HBY5HJuMGi7JJAa+xtL8XLkvMs1NonFnLZ6tl9ji+62ywlf575ZcK+TThQCKPdEC6jDDc7+obGVq07rh4eB03XPlQEqH2nedSRfaKtuGbZehYvrCmel2o1y9a6FCFANiucFiFjS0Hi5xpY3N66FcO0P3e9rcs93/mQ3a9oo7ROz2r1kvtoe+fzpyv6HjPjIyHGdTquqenc19YCwIQAACEIBAVRHIjT+FMRgqquqIsl0IQAACEMgbAj6PigVpEnqG7cQD3z0ZVpwoS6f06N58TWffH2eOddZlWrHIJmt1iUJvNHMYTnIxF80jSogY13yruty1Qt1Vnq35usKFafxMDRXj5k5wTm/tFl2cdfleodXCXZqGG1qk+HzaGisCeWrMi85wawp3s0fXHYKmaV99YVNm2mTdmciEeZOd3Xq06OasCypcSlOfcjzoG/bqy21Rke+1y9MibA7FVua7Ny1Zlj7vRzZ5+DzsZiyKr8zX3FyJwhV2yGXQTrdPS5cvS9cktF6J6cNkzpJ5YcXesprVanjrc1nZsHa0UGm6Ju2/1m7m2d3uNW/u87g5vOd+xsUg2/N9/49PzAUf/jf2sDd9ea95Z9yHsfu5Orjuza5y1ziUQwACEIAABCCQPQIYKrLHkpEgAAEIQKBACfhiq0+eFx5axbWrCrUz5KfXXNUmnRJQigKXcWDwD0OsIj+ztQs/z/o9dE6zPImY1aF/+76h/b6c8q2ZnGEoqrGzxoWOqcJsxdd2bqAKKhZ4jEHZmE73Zp2dw/wxd5KzzlcxevovodVSbvm8A0I75Vnh6R6vintHPm6kcNcKcb13yQl9Dk0kmXXVh5V3aNQurDgR1iSTFemjpv8UOp4KoxgqXMYTX7gh5wZthc8Y4asLxnSFjvIlIg/6Futrg1ru1fF/LcrMWypTVms17+rsOnHeFGedq2Lqgr+chsC1PdsKxnMZA3zGnaBv2KvLo0Kr7uMay1yJ5V2eFmHzybTM9fwQjLdj563N/Ttcbz456CVzTv8TnIbboH22Xz+Z9KU57d1LncPKgOoyoqrTWe9fYT6eONzZPxsVub5nZ2OOjAEBCEAAAhCoagLKNZULwVCRC6qMCQEIQAACBUWgZf3mzvl+NXWkVwGX2vG2rx9yhn1S2+kRlEsu44AUiO+O/yh1k2k/fzPtB/PhhM9D26WLj79Ru3BDhQa7z6PIDd2YLZQh58Yv73FVhyY0djbOswqX4uy32eNzOtPerdd1jv/2uA+cda6Kr6d+n1Ceh9V3b+b2+Alrn49lG1njW6fGHUKnplBKL/7ypnnh59edYZXkTbFXt51C+/sK+7Vxh1NxfT994z0z5mVndY8WbqVy0GmVmuE5ADJV9M7NYOV5MBe91qxWM/lj6ft5f8df0V7aucDfdGvuNkJWRFkr5btWpj9sQ+/oNUoum35t13PSfPO3Yc46V8WQn151VZkeLdN7BLlWvftCOTo3aCtchgr18YWoChuzVvVaYcWJZ4N0XpWhHWMUaj9cRsjtOm1hrh5wrlm/zXqmmv0XV2Rw1PmisE2ZGDT1PHXC2+d7N/vIoFvMkN3v8xqCT3znAqOxKipVdc+u6LzpDwEIQAACEMgHAuSoyIejwBwgAAEIQKAoCazeqL1zvxQO5ovJ3zjrkys+m/S1eeZHt/JQbf+KEO96xzW2Sh62zPs7Rzxc5nO6D1oJetawK5zNtH++PBwDOvR39n3h5zecCm1Xpws+/D/nKlr1qUjCcNc2K6tccb7DZIRV/OdSGtdpaFzbVi6RCXPdIYLC5vXkmBfCihNl60RQIDo751HFGRsc65yNjI13jHjEWX9c70OMwqLFFRlIXPLq2KGuqtByhX0aPSPc60Ud1nSEt0oeTAaXMJm/ZEGZXB1hbZLL5IFy81f3mxuGuw2Qye1d712x9edlEH7PtY1CK3eFKdN+fB4hCXHY/sp7Z7+Xj0usTNdx0wr13V84woZh+iuseWlZP6vcdsmbv79v19RFX1Wnts/+6DFURPCocBkDMjW0+RYs+JJ+hzFxeU+p7ci/Rod1yWqZy6D80cQvMt6ODCzbPrN/4nxR2KatntzbPDbqucjjjfxzlDnmrXO87a/b8iKj8JcdGrYzdw682ttWY2kRRkXEdd/M9T07zpz1XZFxaOfnDkkw3/DRQWbX5w4zj1oP2zjfuTjbpC0EIAABCECgKgngUVGV9Nk2BCAAAQjkBYHuzbt4Qw288Msbaec528aZP+P9y9K2U0zudOGbNl11A6MY3WHy+5wJ5uxhV3q9NoJ+2o5WL6ZbwekL2yEl+G5dtg+GLPd60KsnpQ1nFXS6+9vBTs+OoE2moYqC/lX52rPVWqGb1zH3hbsK7RSzcM9uOzp7PGe9A6KKDFtKWuqSdVp0d1UVVLm+Y65kvVqR7VqVrZXK+3TfOaN93WK1jZ2rhD+c+Hms8DLPjHnFOYeo8f1br9LCOcbXU79z1iVXvDv+Y7P9swcmVuYnl2fyvpldCR4mroThYW2LrWyVWvWNy6AkLlJgxhXlYfklJRSg7hHHvHm2d6gmNpl2r1Y9QtvIuPXllOgr3D+fNML5HdMGouTBaeZI7j1nydzQOaYrbNegtbPJb7P/cNaFVfhCr8ljK9eyQbveoZvQOSOjUlzR9fDAV08s9yxx/fC7zRiPwTTYzujpP5vD3zjD+9xyTK+DzMCOA4IuRvmEztrguNLPqW/kFXTkm2ea7/4ak1oV+XNV3rOjTFILN3Z45qCEcUgLDuTFosUlMpzJM/X4t8+LMgxtIAABCEAAAgVFAENFQR0uJgsBCEAAArkgUL1aNbP5ahs5h3779w+MvCVcopWo+718vDNUTGq/KKszj+t9cGq30s+az2FvnO7dngwaB7xyvPnWrmJMJ2Nnh+evCPodtd6Bwdtyr/rxvMcLRyZ+OJer/LdAMeYvtJ4Ud3/zqKtJaXmqAq20ogDe9Gy5tnOWZ71/eU5XP+7uSeys8C5RDCVS/Jw89CLnPkhh6vueODvmacUZGxwTe2Yn9DksI28KbUheGDt3Hhi6TbG/6KNrQ+tSC4fb/DCDRw1JLS79fHCPvUrf+970a+sORXWPNSq6DKpaka9r0O7PH27OeO+ycspL3zZ9da0cIfikmFuZZT3vdeUK88NfP0bGIw+rm766L7S9K7F1cuP9194t+WOZ9+cOu8rrnRc0/mvhDHPuB+7V8pu07xcpD07Tuk2CIcu8pgtnWKZx0gefoeL3OfEMFb7wSx9N+MLoL5fiW1xw5ae3eL0aU+c1zj5L7PPSsWaaw+NG1wKfyPvrsNdP8xoptu20uZGnWqoc2GMPs1PnbVKLSz/ruqmxNcdMpCrv2enmq3071O6b73up51KF4UIgAAEIQAACVUGA0E9VQZ1tQgACEIDASkPgtPWP8u7rqe9ebP5cOL1cm+/+HG3d8A/1/phM7fRjhBWIUmi6VnxrPG1XYRjkXfGUXSGrFdBfTPnGPD76BXPeB9cklIg/zhibuunQz1rt6JP2DduYvbu7Y/JrtaWMFQrFcP/IJxLz0Hyet6Gh/u/zO8zAp/Y1r/4aLbRNurn45lnVdeu2dHsbyHAkI0C6xMAK5SDF413fPJJgF8XAoP1WEvatVt/EieDAV07wKse0XXkE+VbSa3WrL8mpc+N5WqGwZr4QLanTrog3RTDWIevsHbwt9/re+E8SSWZ9iXt1bhz39rnl+gYFSqS731q7Bh+9r33b9HTWf2+3s6cNB6TQQMqfob8nx7xozh12tek/eKfEdUfndDZF53CYSGG3MntVnNT38DAspWVH2JXqUa4T8r7Y+6WjnQpj5S1IJ1uvvqnTiKDV3hrfZ4jXvUJeeC6PJW3/3I1OTDeNRH2zeuGGChm2FI4srjSu08jZxed16Ork86o40xqu3//jE1fX0nJxemXsO+aqz25J3NujhvppYz0yXfcjeb8c99a5ae9FCgn5wHdPmt2sQdJlpNBEXd6fqtP39sg3zvQaRta2Hq3Km+GSyzY9MxEOylWv68Phr58eKc9K6hguRmqX63t26lxSPyvpuI970P51DBUBCl4hAAEIQKCSCUR9Lok7rfgBduNugfYQgAAEIACBAiDQ1oZ90Oq9x0c9HzpbKT/0g13KWoULmGVDPT330+vmjd/eC23vKxxlDQM7ePJQqK8Shd6+7VWJbeqHeJhI4aDVjOlWNIb1TS5T8uR0cvaGUnQPdxpkNMcvbMx0/VVE5FGhsVyJUisydq77Kp68lNkupapW0W7/zAHmPz32NAqh1LXZGmbJiqU2b8kMo5XOgUI4eQX56/b8Grrf05FW8Z/f/2TzgVUoh50vGvOkoRcmjF+7dd3ehlbpalpaxfC0BdPNZ5O/skqzT725LGSs2qXLtrlGWOnjn9HvGHPqu5dE2m5FvCmCDXRqslrCkCDjYphIeTngiT3MwNUHmC1X3zgRq71mjZpm5LTR5tNJXxmFiAo7vsFYF2x8SuTvjs5XxWh3rdiVou53640jj5zKEJ/CUwo7sVsZRTH7t+m4mTMkm77be714lFEOFBkSlJ+kiVW6z7ZK7lnWeDBi6g/m7XEfpFV6alV7OqlpvYIu3+wsc4rD80oedoqfLyPYoM5bm85NVjcNazdIhJrS6u+h4z8yum+5REnqlZ8girSs19zZbIoNtxd1nORBZOgLSxI9e3H8cFJbdNjIhsP6Nnn40vc6Zqe9e6lRCDoZmNe2OTlkqJuxeFbifvC9DWc0dNzH5tfZ40r76E2dGrWMGEWRU+3iCxmxwmTEtO/Njs8eZM7rf1IinJeu7xIZScfae/DL1jiiEFW+a43a6z7tO2+0kMKnbG9Rv5m5Z/trjc4rl2gb925/ndn7xaOdY+mYKQzSozvdGitJeFXfs137rHIZi6PI2JRzJEof2kAAAhCAAATymYD7qSCfZ83cIAABCEAAAjkgcLwNPTDEJvhMVhQnb0YK6Ms+uTG5yPleqwRdyW6jeg1I0XLlZmcnPCScG8pCRZSwFgpbc9e21ySSsLr4ZGEqiSEUKqJj4w7ZGq7SxpFC5ZatLzdHvXmWc5s6h+759jFnfWqFVtS+YHNM7NN9l9Sqcp+l9Dl9/aPNdcPvKlcXFGi18y12lXxcuWSTM2IpgOKOX1XtlTdCSjoZinySDW+KYPyT+x6R8DByKWylHFQc+bix5GX4kqI6qlSzR/TaLS4wB792StQuOW3n8yCbvmjmSmuoEHQZyH25Y9RGhgBfiEK1cYmMITuvGc0Qubn1RFJ4Jq34dok8s3zeWWH9dP1M5z2S3G/Vhm2TP5Z5P8caFjIxVLSyeVvCDBXzM0jofkCP3Y0MzaOm/1RmbskfPp443Ogvqtz45b2RDRUyFsmI4FrIoOuPkmJLxL5mtRrOZx/X/C7Y6GQj406YyOvTt2/yzntkx1sShqyw/slljayxa7A1Qshz03XdlGL/ebt4ZM9ug5K7et9X9T3bNzkZ+KJIg1qrRGlGGwhAAAIQgEDWCeTKo4IcFVk/VAwIAQhAAAKFSkCJSy/e5PQKT18rg+/f4QbnOD/OHOusS62Q58V1W7rzBqS2d33+P6uQ7NykY2h19WrRHge0ovmpXe92JncNHTykUPkU/uOJo1+req2QXoVRpLj/R/bcP6uTjWMYkleQL19FJhPTSu0NPPkMMhkzn/qcbr0q0kk2vCmCbcjoMXin27IeRutSa0yKKz1brR1ZQe0bW2G0fGGtfH2DulUbuRXP6UKmBWMU66vuKUdk+boSsJLC+LZtrjTK1RRVrt/qYtMpy8ZkhV9sXKdh1CmYNg1aOdsuWrbYWeerUMikMMlkPBkCb93miqx+z9N5OKTO3WdISG6rcePcZ9RXCzv26Lpj8jBl3r/x2/tlPqd+uM96SQSeHKl1YZ9b1W9hBg+61cvzrm8fDevqLavqe7Zrcj2s12MUWadltyjNaAMBCEAAAhDIOoGSkqwPmRgwmmYiN9tmVAhAAAIQgEDeEVC4CikXtNIuE9Gq9sesElLKSFcoE62qd4UHCtvmwI4DzIM73mg0dlzRftyw1SVmu05b2L/w0B5dm64ReVgpp57f/X4b/sqdONo3mJSZF29ymhnYaUBoM823YZ1oKwlDB8iDwuNtwmVf7Ou4U9wl4krnYFzx9YXjCNpFeVVoklutErOYRV4IrlXB2m8lEd+n+85ZRaDv0QPWmJmNnB/6zkjpp3Bemcil1jibLhSda1xd427e+rLENXNVT8ieOjXruIYoLfeF8lG8/JVd5G2QSQJ4Hzd54by858OmpSORuatvvZp1zcODbo6laHaNpXJ5GR1kQ+LFEV/y69o2RFImohBMYZLp91RJtfU8kS3xGQbCtqG8G0/bxQW+/Bth/dKVHdv7YHN0r4O8zebbMFIuUU6KTJ4htFhC1zqXTF8401XlLa/qe3bY5Hq3XjdtDiVd+4/p9Z+w7pRBAAIQgAAEck4Aj4qcI2YDEIAABCAAgX8IaHXwU7vcFdtzQPHen9n1nlKlj09ZrVjUcaSP/dH61t5PmFPWPzJhBInSV32e3PnO0nAwO3TeqpwBRj90z9vopCjDlbbRysZHB92SUFBqn6OI2skz5LR+RydCCIlNmCHn3A1PNArzUMiilcmP2JWf5/Q/oUKKaCnHpASOq2T6J6TPhQnvIB3fTET9pIy6beCVkfJjZLKNfOmjxLuLl7sV4Sf0OTQnDNax34HX9hpcIaOWQvY8vcvdRquCMxUd62s2Py9W2B0ZTS/d9Azzxt6PG4XPknRt1il0Cjp/lZMlndS1xgyXMTbqdSbdNgq9Xp5oMoTLeFZROXK9A+x97u7Q63CUsXVcX9zjIbN392g5E8LG1BgypB/ec7+wam/ZGjb/hUsyDR2oe3+YdGqceX6UDdv1Ma/s+Ugib0fY2FHLNuuwoTmx72FRm5e2kxFqyG73mg3b9i4ty/SNvodP7nKnOTaCcnwP6zkZJgesvbvZ0S4IyVRk4JAHUJhkYvzQOFV9zw7bF83p+i0vLvfMFrTVd+f2ba4yPoNd0JZXCEAAAhCAQCERqFZipZAmPPLPUeaQ104tnbIeSKQsQSAAAQhAAALZJqBY1YrhnC7utxR9x/U62BxsvQWSV3IOt4k0jw7JV6D2Hx3wQmSDQ+p+afWCEqS+YxOkKuHt1Pl/JhStSsapUArtG9jEx3YVfljyWSWrfsuGZGhhlRcaZ9c1t8t4HsG8NAclFf9xxlgzZf40ozAtCuEhpYbmIuWPwgelSiIhuc2/0NDGWJbhRqtFXaE3UvsWyuc5f88zN9m44kpMGlXkjTNg1f7mzA2PTSRYjdovrJ2OxyM/PGvzXLwRKbSHjpm8ig5dd59IscPDtlloZY+Pet6Z10MK4WH7D/Eme63o/up7+OZvw8xge5xceW2St6Hrx/qtexopmitioEgeM3ivxO4K2fLqr++Yn2f+FhQnjGWtbfz+jdr1NYPW3Ma4vLAu+ug688rYt0v76Y08fKKuBNe2z/vg6jL9lfD2CascVZ4c5B8CusZe8tH1RsnX40iHRu0S1/yd1xyYsYEibHvKR/Dg90+ZYX98FlZdrkyeHPuttZvZrct2VkmcuYP/kJ9eNdd8fntp0md9N87rf2LkPA7lJmYLnvnxZXPD8HtKr5ca86EdbszIAyB1/I8mfGGu/OwWZ1Lo1Pb6rJCNuh7rmFVU3h3/sc2RNLjMdzvdmNp/3Y+2W2NzM3D1AU7Fedg4V9l9fdbm/QpEicNlmJIxvaIincBxNoF24J0qxf1t1nslU2NFMJ+qvmcH8whep9rE8MpNMtJ+x5TsXIYJedkeuu6+XBMDSLxCAAIQgEDOCZz4zgXlck9pEcQ921+b9W1jqMg6UgaEAAQgAIFiIzBtwV/meatQH2MV8ePnTDTzrJKorf2xKAXamk07ml2sssXlBXDFpzeb5356rQwShfDIVbzxMhviQ94QWFGywhqV/jBKpD7K/k2YO9lUsysmlRelkQ11JSVLt2adTa9WPUo9crI5+aXWa2CETXAro5LO4Vo1alqlxyLT1G63Sd3GifN5/TbrJQxM2dxuvo+luOxbPrlXqbIrdb7yitnfKlQrS5RIXsl3x8+ZZBYuW2RmLpqdOD+a1mlsmtrj1KNFN+u50DlWPoGKzF3eJjVjGgikRP/EJgiev2Sh6W9Xk0s5HkeUD0AK3dl/zzHr2e+DlNrZUGzGmUOhtJXi8q3fh5mv7Hd74rwpCQW4wmQpNJMUmsrj0Np6wLWzBuNMjkVcDnP+nmu+mfaDGT93UsJoreO2wv5rYq8zTW3SZXlB6BqXbNCPu43U9jpflLS5kTWO97VehHHP19Tx9Fk5Gz6d9JVZsmJpYkxdI7MpUob/OOMX84P9ro+xrzqO8qBrWLvhv0b+lgmF+1rNu+REGa0QSR9O/MJMsufMFKsIV/JxGSR0jfnnWNlX+14Jy3u3WieWcSKVk7b1ijV8dmy8qtm8w8ZZvXatsOstv/9rtNE5r1BJ2TyvqvqencqRzxCAAAQgAIGqJBBmqFAOw3s9IRkznS+GikzJ0Q8CEIAABCAQkYA8B0ZM+94q7hYklEVhIY8iDkUzCEAgiwQe/O4pc+vXD4SOWBneFKEbphACEIAABCAAAQhAAAIQgECeEAgzVMiz25c7KtOp40OdKTn6QQACEIAABCIS0CpFJexFIACB/CGgkCEKg+KSk/ocnpXV2a7xKYcABCAAAQhAAAIQgAAEIACB/xHIPCjo/8bgHQQgAAEIQAACEIAABAqKwCM/PFMahz514vKm2LPbjqnFfIYABCAAAQgKtQNjAABAAElEQVRAAAIQgAAEILDSE8hVymsMFSv9qQUACEAAAhCAAAQgsHIRUEz4+7970rnTp/Q9Em8KJx0qIAABCEAAAhCAAAQgAIGVmUCJKcnJ7mOoyAlWBoUABCAAAQhAAAIQyFcC9418IpEwN2x+Smy+R9cdwqoogwAEIAABCEAAAhCAAAQgAIEcEcBQkSOwDAsBCEAAAhCAAAQgkH8E5i6ZbwaPGuKc2Ml9Dzc1qtdw1lMBAQhAAAIQgAAEIAABCEBg5SaAR8XKffzZewhAAAIQgAAEIACBChO4f+TjXm+K3bpsX+FtMAAEIAABCEAAAhCAAAQgAIFiJVCSGzuFwaOiWM8Y9gsCEIAABCAAAQhAoAyBOX/PNY+PfqFMWfKHU9Y/Em+KZCC8hwAEIAABCEAAAhCAAAQgkEKAHBUpQPgIAQhAAAIQgAAEIACBOATu9XhTNKvbxOzWZbs4w9EWAhCAAAQgAAEIQAACEIAABLJEAI+KLIFkGAhAAAIQgAAEIACB/CUwe/Ec89SYl5wTlDdF9Wo8GjsBUQEBCEAAAhCAAAQgAAEIQMASKMlR7Cd+jXF6QQACEIAABCAAAQgUPYF7vn3MmZtC3hQ7r7lt0TNgByEAAQhAAAIQgAAEIAABCFSUQI5SVJCjoqIHhv4QgAAEIAABCEAAAvlNYJb1pnhyzIvOSZ7W7yjrTVHNWU8FBCAAAQhAAAIQgAAEIAABCPxDgBwVnAkQgAAEIAABCEAAAhDIgMBbvw9z9mpRv5kZ1Hmgs54KCEAAAhCAAAQgAAEIQAACEMg9AUI/5Z4xW4AABCAAAQhAAAIQqEICw6d849z66esfjTeFkw4VEIAABCAAAQhAAAIQgAAEUgiQoyIFCB8hAAEIQAACEIAABCAQgUCLes1DW7VepaXZofNWoXUUQgACEIAABCAAAQhAAAIQgEB5AoR+Ks+EEghAAAIQgAAEIAABCKQlcEyvg0ydGrXLtTu3/wmmmv2HQAACEIAABCAAAQhAAAIQgEDVEiD0U9XyZ+sQgAAEIAABCEAAAjkm0LxeU3P3dv9nujZbI7Gl+rXqmZu3vsxsudomOd4yw0MAAhCAAAQgAAEIQAACECguAiU52p2aORqXYSEAAQhAAAIQgAAEIJA3BHq3Xsc8s+s9ZvmK5aZG9Rp5My8mAgEIQAACEIAABCAAAQhAoJAIlJCjopAOF3OFAAQgAAEIQAACEMhHAhgp8vGoMCcIQAACEIAABCAAAQhAoFAIkKOiUI4U84QABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQCAyAXJUREZFQwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIDASkyA0E8r8cFn1yEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACVUwgV8m08aio4gPL5iEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACKzMBDBUr89Fn3yEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEQmQTDsiKJpBAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBQOATwqCicY8VMIQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJVRqCEZNpVxp4NQwACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkCMCeFTkCCzDQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAASKiQA5KorpaLIvEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIJAjgUcGJAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQHoCJembZNICQ0Um1OgDAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBAVghgqMgKRgaBAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgEwIYKjKhRh8IQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAwEpGgGTaK9kBZ3chAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAisDATwqVoajzD5CAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCpIAI+KCgKkOwQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAvlHAI+K/DsmzAgCEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkHcESkpyMyUMFbnhyqgQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhEIIChIgIkmkAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEVnYC5KhY2c8A9h8CEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUIQE8KgowoPKLkEAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAECoUAhopCOVLMEwIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBQhQQI/VSF8Nk0BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACuSGAR0VuuDIqBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKC4CJSU5GR/MFTkBCuDQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgEIUAhooolGgDAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEFjJCeTGn8IYDBUr+YnF7kMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEqpIAhoqqpM+2IQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIFQqCEHBUFcqSYJgQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAApEJ4FERGRUNIQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyDYBDBXZJsp4EIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIEiJFBicpNOG0NFEZ4s7BIEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAoFAIYKgolCPFPCEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACVUgAj4oqhM+mIQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyA0BPCpyw5VRIQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAALFRSA3KSoMhoriOk3YGwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBAQRHAUFFQh4vJQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAASqhgA5KqqGO1uFAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAghwTwqMghXIaGAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEDATwBDhZ8PtRCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCFgChH7iNIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKDoCOBRUXSHlB2CAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCGSfQElJSfYHtSNiqMgJVgaFAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgCgEMFVEo0QYCEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgsJITyI0/BR4VK/lpxe5DAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABKqWAB4VVcufrUMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAECoIAOSoK4jAxSQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABOIQwKMiDi3aQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkFUCGCqyipPBIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQiEMAQ0UcWrSFAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCKy0BEpysucYKnKClUEhAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCIQgBDRRRKtIEABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQCAnBDBU5AQrg0IAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBCFAIaKKJRoAwEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQE4IYKjICVYGhQAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQgUF4HcpNI2BkNFcZ0n7A0EIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAoKAIYKgoqMPFZCEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACxUUAQ0VxHU/2BgIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBQUAQwVBTU4WKyEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHiIoChoriOJ3sDAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACECgoAhgqCupwMdn/Z+8+4KQosgeOv03kJWdccs6SxYQBFRUT5pww53R6xjv19Ex3hjOcigGzoqIgqIgYOAUEJCdJknNeFjb9643O/mdnq3p6dmc2/srPODNV1dXd3xnYpV9XPQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEESkYgNzc3LjsmUBEXVgZFAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABPwIEKvwo0QcBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTiIkCgIi6sDIoAAggggAACCCCAAAIIIIAAAggggAACCCCAAAJ+BAhU+FGiDwIIIIAAAggggAACCCCAAAIIIIAAAggggAACCMRFgEBFXFgZFAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBPwIEKjwo0QfBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQquECu5MZFgEBFXFgZFAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBPwIEKjwo0QfBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQiIsAgYq4sDIoAggggAACCCCAAAIIIIAAAggggAACCCCAAAII+BEgUOFHiT4IIIAAAggggAACCCCAAAIIIIAAAggggAACCCAQFwECFXFhZVAEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDwI0Cgwo8SfRBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQqOACuZIbFwECFXFhZVAEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDwI0Cgwo8SfRBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCAuAgQq4sLKoAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIOBHgECFHyX6IIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQFwECFTEhZVBEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwI8AgQo/SvRBAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQKCiC+TGB4BARXxcGRUBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQR8CBCo8IFEFwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIiPAIGK+LgyKgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCPgQIFDhA4kuCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEB8BAhXxcWVUBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8CFAoMIHEl0QQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEKjoArmSGxcCAhVxYWVQBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8CNAoMKPEn0QQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgLgIEKuLCyqAIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDgR4BAhR8l+iCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggEBcBAhUxIWVQRFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQMCPAIEKP0r0QQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgggvk5ubGRYBARVxYGRQBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQT8CBCo8KNEHwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIiLAIGKuLAyKAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCPgRIFDhR4k+CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEBcBAhVxYWVQBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8CNAoMKPEn0QQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgLgIEKuLCyqAIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDgR4BAhR8l+iCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggUMEFEhIS4iJAoCIurAyKAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACfgQIVPhRog8CCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgjERYBARVxYGRQBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQT8CBCo8KNEHwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIiLAIGKuLAyKAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCPgRIFDhR4k+CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghUcIEESYiLAIGKuLAyKAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCPgRIFDhR4k+CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggEBcBAhVxYWVQBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8CNAoMKPEn0QQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgLgIEKuLCyqAIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDgR4BAhR8l+iCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggUNEFEuIDQKAiPq6MigACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAj4ECFT4QKILAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIxEeAQEV8XBkVAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEfAgQqPCBRBcEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBCIjwCBivi4MioCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgj4ECBQ4QOJLggggAACCCCAAAIIIIAAAggggAACCCCAAAIIVHSBBEmICwGBiriwMigCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgj4EUj204k+CCCAAAIIIIAAAggggAACCCCAAAKlQyArJ0v2ZO6V3NwcqZRUSaokV5HEhPjc4Vo6zpijQAABBBAo7wIEKsr7J8z5IYAAAggggAACCCCAAAIIIIBAmRDYk5kuny75Uj5dPE527t8t2bnZkpOTY55zJDMnU/Zl75fsnGzruTx55P1yVItDrG1UIoAAAgggUNoFCFSU9k+I40MAAQQQQAABBBBAAAEEEEAAgQoh8NS0/8qoRWMLda63TvybvHfSC9KxXttCbc9GCCCAAAIIlKQAgYqS1GffCCCAAAIIIIAAAgggUCYEVuxYJXM2LZCkhCTp1bi7NK7eoEwcNwdZdgQ2p2+VTXu3SL2qdaRhtfpl58A50pgKfLl8UpHGW7N7PYGKIgmyMQIIIIBASQkQqCgpefaLAAIIIIAAAggggAACZULgPzNel5dnvZ3vWOtXqyupKdUDF5Rb1k6TlrXSpHnNZoHHAalNJMH8R0HAj8CirUvl37+8LD+tmZ7XPSkxSW7sfblc0HUY36U8lYrxIjM7s0gn2oggV5H82BgBBBBAILJAvH7PJVAR2Z4eCCCAAAIIIIAAAgggUEEFFm75rUCQQin07vfNslWWm5kWU9bNzKdT2SS27dukpxx6QH8ZeEAfSUttmq+9vL/RNfafn/mGrN21QQ5N6y+DWx4qqZVqlPfTLtT5PTt9hLw6+90C22oOgqemvSQb0jfJ7f2uLtBORfkVGNzyMBmzdEKhT7CumZFDQQABBBBAoCwKEKgoi58ax4wAAggggAACCCCAAALFIjB388Ko96PJbn9cPTXw0I3TajaVi7ueKSe0OVqqJFeOeryytsG9PzwmE1dODhz2t79Plr9Pfkpu6H2ZXNr97LJ2KnE9Xv2O2IIUoTt9e97HcnqHE6WVmbFDqRgCN/UdLmt3b5BZm+bnJc3WGTbBkmyWn9O/Y1yleko1VxP1CCCAAAIIlGoBAhWl+uPh4BBAAAEEEEAAAQQQQKAkBTJzsoq8+1U718qD//u3/OPnZ+XUdkPkip7nldscBDm5ufLdqp8LmD0z/VUZ0LSXdK7fvkBbRa14b8FoX6c+de1MAhW+pMpHp/pV68qI45/yPJnxy7+VOyf9w9qnBoEKqwuVCCCAAAKlXyCx9B8iR4gAAggggAACCCCAAAIIlIxAlaTYzYDQ5Xw+WjRGhnx4vrwx90PRi/rlrezavyvvLvDwc5u3eXF4VYV+v3Lnal/nr4ncKQiECmRmuwOoobMvQrfhNQIIIIAAAqVdgEBFaf+EOD4EEEAAAQQQQAABBBAoMYGalVOd+9ZcFIUpGrD417T/yskfXyyLty0rzBCldpuqyVWdx5aetdfZVhEbGvpMetykRqOKyMM5ewhkOWZ6EaTwQKMJAQQQQKDUCxCoKPUfEQeIAAIIIIAAAggggAACJSVQp0ot6671guCUC8fK2NNHyj0Db5RDDugn0QYudEmocz67Rqavn23dR1msrJSU4jzsdJNkm/L/Aj0bdvn/Nx6vejXq6tFKU0UUyMzJtJ625q+gIIAAAgggEG+BhISEuOyCQEVcWBkUAQQQQAABBBBAAAEEyoNAnSq1raehsyK0NEttHEh2/Nzgh+V/538mjw26R7o16Gjdxlap41w27lb53pLXwda/LNS57upO5CJqvo/vwq5nRAxuHdniYOkaxfcp3w54U24FMv/8+yf8BFM8AoXhfXmPAAIIIIBAaRMgUFHaPhGOBwEEEEAAAQQQQAABBEqNQGql6s5jCQYrgh30Av0xrQ6XkSc+G5hpcX6XYREvRAe3vWHCvbK8nOQiqJpcJXha+Z6rp7iXhcrXsYK8qWWWFXvyyPvFFdi5qNuZ8o/D7qogGpxmNAKupZ8qJbpnNEUzPn0RQAABBBAoCYHkktgp+0QAAQQQQAABBBBAAAEEyoJAjRR3oCIje59UT6xmPQ2daXFbv6vk5j7DZfRvX8k/f35O9mXvt/YNVt7yzf0y6tRXJDGhbN9PVj2lmuzevyd4WnnPrgvyeR0q4AtdMuzT00bI6CVfyoLNS0SXUuhQt40M63CCNCU3RQX8Rvg75UxHjopKhcyb42+v9EIAAQQQQCC+AgQq4uvL6AgggAACCCCAAAIIIFCGBaokV3YevQYe9KK8V9GL86e1HyLHmpkWT0x9UT5ZPM7ZXWdUjJw3Si4ySwKV5VIlyW6WVMYDMPH6TNJSm8p1vS6J1/CMWw4FMh1Bz2jz5JRDGk4JAQQQQKAMCxCoKMMfHoeOAAIIIIAAAggggAAC8RfQYEP4Mk+61/2Oi4W2I9KAxv0H3yL9mhwod333D1uXQN0bcz6IWaAiPXOvTF4zLZCse2P6ZtmUvkW279tp7tRvLD0bdpbu5jGgSS/n0kPOg4zQkCM51h5JxZyjYo9J3v39qimSbD6/w9MOEq9E39YDroCVJfWdKQvUObm58tu25TJ9w2xZuWO1bM3YLtsydkhGVoZoLpvG1RtKkxoN5egWh0pazaZxPSXb30e6Q77jcWVncAQQQACBOAsQqIgzMMMjgAACCCCAAAIIIIBA2RbQnAvWpYwKceF9SOsjpEXNZnLu59daUfTi54wNc6RXo27Wdj+VP62ZLs/NeE3mbV5k7b5q51qZsnZGoK1W5Zpyc9/hclLbY82SUwnW/tFWZmZnWTcpziWt7v3hcfncLLkVLBps0kTnR7U4JFhlfV67e4P8zwR31uxaHwjsbDABno17NsuWjG2Sk5sjl3U/J/CwblyGK4vzO7M/O1O+W/WT6PewaWojGZQ2ULxmLkXDqoGW52e+ITPWzzZjVpFrel0kfRr3iGaIAn1nbpgrr8x6R35eN8MasAzf4OlfXpFWtdLk6gMvCuSsCW+PxXvX0k8srxYLXcZAAAEEEIgkEJvfGAvuhUBFQRNqEEAAAQQQQAABBBBAAIE8AVfOBVdC27wNHS86128v9wy8UR7639PWHjoLoDCBisVbl8kDPz4h87cssY5rq9xhZlg88OOTgcDGU0fcH5hlYetnq9ML93d//0+ZuPLHiPk3dPsnp70kr5sZI3rXd0pisiSb56pmmajKZnktvVBd2bzWoJC2J5v2GiaR+SntjpX6Vevadu+s04vuoUEK7ah3oD8+5QVroGLupoXy5fLv5KsV38mGPZuc42rDs9NHyPGtjzR3zjfy7BfaOHvjfHl3wWhZs3u97Nq3S3Zl7hG9oK5Lh7nujG9Tu6Xc1OdyOTStf+hQMX9d3N8ZDVJcPv42UZNg0ZkII098RhpUqxesKtRzruTKeSYAGJqU/sov/yKjTnlZWprAQbTll/Wz5GHzZzR0PL9j6DZ3THpIxiydIA8eeodo4vRYlqzcbOtwxT1ryXoQVCKAAAIIIFBIAQIVhYRjMwQQQAABBBBAAAEEEKgYAgliv2+sKDMETu9wooycO0pW7lxdAPF3S12BTmEVX6/4Xm7/9sGwWv9vN6dvlQvH3ijPHP2gHJY2wNeGMzfMk3HLJvrqq510VoptZorXAC+Yu+PfP+lFaVunpVe3fG3vLPgk3/vgm017twRfBp6XmGV8/vrdI6LP0ZRJZjbAOZ1O8bWJXpi/ZNwtzoCEa5Cl21fI9RPuMcnVXxYNWsSjlMR35p4f/pkvSKHntX7PRnnGBIAePPT2Ip3muKUTCwQVNBCkMyx0Nk00ZcTs98wxvRrNJta+36/6WU4adbG8d9LzUQW3rIOFVLqCpBoApCCAAAIIIFBWBRLL6oFz3AgggAACCCCAAAIIIIBAcQikJNkv/qVWqlGk3fdv2su6vS4/FE15yyTgLkqQInRfN0y4V0Yv+TK0yvn657XTnW2xatALzd+YGRvRlK17t1u7B2cvZGTtk8emPC9nfHpF1EEKHXjS7z9Zx7dVTlv/a9RBitBxPlj4eejbmL0uqe/Mdw47nQGjs3uKUt5b+Jl186XbVlrrbZU6K+OWiQ/EJEgRHF/P64zRV8qqXWuDVUV+zjJ/LmwlxcxGoiCAAAIIIFBWBQhUlNVPjuNGAAEEEEAAAQQQQACBYhFIFPs/m6qlVC3S/lPN0ka2Uimpkq3aWjd13a/yxNQXrW3BSl23vnO9dtK7cXdfSzvdb5aP0uWQIhVdpqk4iiYwjqakmyTatqKf1+Jty+TYD86Vd+bbZ13YtguvW2KW2PJbdKZKUcpv21YUZXPrtiX5nbEe0J+Vn//2tVezZ5smiw9dTiq0c+PqDULfer5+fsYbZimzyZ59CtOoM4kemvzvwmxq3cY1o0ITx1MQQAABBBAoqwL2W4PK6tlw3AgggAACCCCAAAIIIIBAjAVyJKfAiJo/oShF7+4fu/Qb6xAHpDax1odXbtm7Ta7/+u7w6nzvb+h9mVzc7ax8ibLXmRkbf//fv0RzObjKvT88Jp+cNsLVHKjv06RoSYo9Bw9pHNisT8i7yC/3mhkTtqJ5Ic757JoizXDQcXfs32Ub3lo3qPlAa73fyqIsL2bbR0l/Z7o26CjTTaJrW/lw4Rg5v8swW1PEulGLxjr7dGnQwdkW2qB/Hl6e9XZolfV1ZRNI1ATdvRp3k7TUprI1Y7tJwP6L6DJPXmW3I4DmtY2rzZVMW3O7UBBAAAEEECirAvwUK6ufHMeNAAIIIIAAAggggAACxSKQmZ1VYD91qtQqUOe3Qi+Y3/ndPwJr89u2aeszJ4EuX6QJmW2lfrW68tzRD0vHem0LNGsi6P8MfsQk+31QJqz4oUC7VmgyYL3DfWjbwdZ2rezeoJM8fsS98ursd2XPnxdh92ZliGsWgc5o0AvvmoQ7uAxTMClw8H3oznQmyIAmveS41keEVkd8rcfgKrb9BPv2b3KgnN35ZOlnnqsmV5VD3j45kPQ62B581jFycnPzBX+CbeHPmkT5rROflbfmfSzztiwKNOsMHU0YrjNn9KK3foY6a8T2WcZ61kpJf2cOTzvIGajQfC0rzPeuMImvNcjhKkc2P9jVlFevy4Hd9M19ee9tL/SzuqnvcDmzw1DR72ZoObvTyYHZOrdO/Jus2mlf4slvADJ0XNdr14yKJPPni4IAAggggEBZFSBQUVY/OY4bAQQQQAABBBBAAAEEikUgK7dgoKJhtfpR7Xt7xg5ZsOU3mfj7j/LZkq+sF6WDA57afkjwpfNZExB/uXySs33kCc94Ju9NTEgIJBg+/sMLnAGTESYA4RWo0J0PbnlY4BE8EF1a6cxPrwy+zff8/skvBu5Az1cZhzcZHoEK2+6apTaWZ49+SFrXbpGv+eS2x8q7Cz7NVxd8szVjm9SvWjf41vNZZxE8Ouivnn10uS1bbpBqJmASq1IavjMntztWnpr2kvOUPl78hdzS1/79cW00c8PcwKwGW3vj6g2twbrwvpoLxBYoCvarW6W2vHHi057f3/Z1Wsvo016Xvm8OyQvEBbfX5zSfM6VCt3G91mCfrcR6Bo5tH9QhgAACCCAgkhAXBAIVcWFlUAQQQAABBBBAAAEEECgvArYZFTo7QC9s6p3xezMzZLtJmLvVLMW0xSwDo8vr6OuN6VtMcGKxLN2+0npnvs3n9A4nip/ZGi/OHGnbPFB3ba+LPYMUwQ31ouYjh98ll3xxc7Aq33NhlpHZnuFOiBzLi+75DjTkjV7A9brgHNI18FKXGrqpz+ViO9fGNRqGd897XyOlaEt/5Q305wvXLJCi5kEJ3U9p+M7oDJMjWxzszAPx8eJxcnPfK8zlD/8XQN5fYE+ired+dqeTQgmsr3WGzH9nvWVt00qdSfHByS+JzlKKVEz8zxqk0O2aEqiIxEc7AggggEAFFyBQUcG/AJw+AggggAACCCCAAAIIeAvY7tD/YdUU6f/mCd4bRtnas2EXuWvAdRG30mWHPl9qTzysd5Bf2u3siGNoB53l4XWBtm7VOr7GCe20zQRqXCXWyxjZ9rPNnJOfohefXzj2UenVqJuzewPHjAndtkpyZed2hWnQpYdsJVaBitL0ndHgkCthtSadnrF+TiDxu80jvE7dvl75fXh13vtT2h2X99r1Qv8s6X5d5ZnBD/kKUuj2XoG6RtWjm4XlOh6td82oiCbA4zU+bQgggAACCJSEAIGKklBnnwgggAACCCCAAAIIIFBmBIJ5FOJ5wMM6nCC397u6wNr3tn3O37zIedf27f0jj7HDzP4YMed9kzdhlHMc3e8FhUhs7BUoqJpSxXY6Ma3T2SyRiuYXeP2Ef0uneu08u3au397afmSLQ6z1Ranc5whUxCq4U5q+MxocalS9gWzYs8lK9pFJjN27cXdrW3jl+OXfOr/Dh6UNkNo+csmMWzoxfNi894cc0E80d4nfokuCuUq0y8W5xtF6DTzZSoJO6aAggAACCCAQZ4F4/bwhUBHnD47hEUAAAQQQQAABBBBAoGwLeCVgLuqZ9W3SU67vfWkgMbXfsb5fPcXZ9eBmfa1tuZIrU9fOlLfmfyw6GyRS6VK/g+hF2miL14yK4rjb20+g4l9HPhAxSKHnrUmdNUeHJhUPFp1NcWu/6HIoBLf1et6bHd8ZFaXtO3Ne59OcuSq+WvGd/O2Q2wLLqnmZadt7C0Y7u1zV8wJnW7BB/1z8unFe8G2B55v6DC9Q51Wxc99uZ3PDavWcbdE2uGZURDsO/RFAAAEEEChNAgQqStOnwbEggAACCCCAAAIIIIBAuRbQpXw0mHBYWn852AQCNElvtOWnNb9YN+lmkjaHL0mkya2/WjZJPjR3qetMCj+lRqXq8tzgh/10LdBnmyNHhV7gL46ya7/7QrHu//b+1xj7Ab4P5e6Dbgzc3f/TmunStk5LObfzqVI9pZrv7f123G/yndhKrPJ6lLbvzLAOx8vT01+xzobQwKAmnT+u1RE2kry6tbs3yEKToN5WOtZrK64ZMaH9l25b6cxp0qZ2y8BnHto/0uudHt+/1Eo1Im3uuz3XMaPC9wB0RAABBBBAoAgC8Zq/R6CiCB8KmyKAAAIIIIAAAggggED5F9ClgqKdVaEX5vs37SWaM6JV7TTRi56tazeX+o68B9EoapJuW9F96Jr9v6yfJRNW/CATVv7gufa+bQxdkucNsyySn4Tetu1dgYIUk3S8OMqezHTnbtJqNpXzTKAhmqKBH81z4CfXQTTjhvd1Lf1ULUbLZZW274wGe05ue6x8vPiLcIrA+w8XjokYqBg59yPrtlrpZzaF9puydoY+Wcug5gdZ670q0z2+f5q8PlYlR3JiNRTjIIAAAgggUGoECFSUmo+CA0EAAQQQQAABBBBAAIHyIrDP3CGva9Lf2OeymN+Br0mwbeXTJeNFH4UtF3Q5PbAMVaUiBBX2OZYwiscsBNt5pmfutVUH6u4deLOzraQb9udkWg+hUoxmopTG78wl3c9yBiqmr58tW01idteMI5258MGiz61m9avVlcN9BhnmbFpoHUMrddZTtEX/3NuKBjtjWXJy7IEKZlrEUpmxEEAAAQSKWyB2If3iPnL2hwACCCCAAAIIIIAAAggUg0ByQuEuMn60aIwMfv9sGbv0m5gdpa6p77oYWtidDGl9pIw7461A7oWiBCl0/5k5WdbDqJJU2Vof60rXjAq9UNzP5AMprSXbdeHZfN5FLaX1O5OW2tQzafY78z9xnvqbcz5wznK6uueF4jcfyrZ99qCf7lhzlERbMrPt3/9YL32W4/heZJllsygIIIAAAgjEW4Bk2vEWZnwEEEAAAQQQQAABBBBAwKdAMFfBiDnvOS+Y6lB6h//d3z8qb88bJQ8fdqdZBqq5zz3Yu+3ev8feEGWtXjg9u/Mpcr5Jatwghkl+92fZ7yivGqMljCKd5p4s+4yKqslVIm1aou1ZufYL3JnZ9pkW0Rxsaf7OXNHjPLnSzJ6wFQ1UaNAhfDaC/pkaaf482YrmVzm53bG2JmudV96WmpVTrdt4VbpyjaQkxnbps0QTirGV7FwCFTYX6hBAAAEEyoYASz+Vjc+Jo0QAAQQQQAABBBBAAIESEtD8CuGzGDQXxB0mMfNZHU+Sx6Y+L18t/87z6OZvWSKnfnKZPHjoHTK07WDPvl6NyYlF+ydci5oHyOU9zpHjzCyKlCKOZTvOkp5R4coREJ5k3HbsJVnnWsonwxH4ieZYS/N3JpjHZf2ejQVOSQMS45dPkhPaHJWv7d0Fnxb48xjscEWP8yWa893uSP6u4/mdlRHctz67lvAqrgBCTq59SajQY+Q1AggggAACRRUozM9IP/ss2m+5fvZAHwQQQAABBBBAAAEEEECgDAskWZZ+2v7nkjG6Hv5jg+6Ri7ueKQ9MflIWb13meab3/vCY/Lpxnvx1wPUF7hT33PDPxsLMDKiWUjWQuHhYhxOkbZ2WfnZT6D6ZjlwLxTajwlzcthXXkjy2vqWpzpXzI5pjLO3fmWt7XSz658JWXpn1dr5AxX4zw+TV2e/auorOEjqz41Brm6tyd2ZsZigFx1+ybXnwZb7nWM1qyRs0wT6jwhUozNuOFwgggAACCJRiAQIVpfjD4dAQQAABBBBAAAEEEECg5AVSkgr+s2nz3m35Dqxz/fbywckvyZtzP5Knpr2Ury38zahFY2XOpgXy/DGPSP2qdcObI77XC7LhMzzCN9Llco5oPlCGtT9B9K71RMeFzfDtivretcSNLdhT1H3ZtnclE87IyrB1LzV1iYn29JEZjuTM0R54af7O6IyJJ6a+KLZlmJbvWCVzTcLrrg06Bk551OKxgeXUbOd/WfdzJNqZM3s9vhc6o0ODfH7LNpPk/guPfDSaPyVWSeVdf56ZUeH306IfAggggEBpFCj4G3dpPEqOCQEEEEAAAQQQQAABBBAoRQJb9m61Hs2FXU+Xbuai6rVf/9V5QVU31JkXJ426WF485lHp3rCzdSxXZWrlGrIv3b7//k0OlFM7DDFBioMDd5i7xohXvWs5Kb3oWxzFtexPpMBOcRyb1z6SE+z/NN9nlhiLRSnN35nEhES5ttdF8o+fnrWe6iuz35F/H/V30YvwL84cae2jgbnzuwyzthW2ct2eDdKmdkvfm78+533PvlsztscsUOH6nhOo8PwIaEQAAQQQiJFAvJZ+st+2EaODZhgEEEAAAQQQQAABBBBAoDwKbHYECvRcD2zUVT4f9oa0r9va89T14v0l426RmRvmevYLb+xcr314VeB9rco15aXjHpPjWh1R6CDFjA1z5OPF42T59t+t+4hU6bqAusLcGV8cpZLJJ+IqWTn2hNWu/sVZn+SYUeF1x380x1eavzN6Hqe2P945e2HS7z/JpvQt8tlvX1lnXej2uvRaNLMfdBstdarU+uOF5f8/rp5mqbVXrd+zSd6a/7G98c/aLWGzsDw7R2h0BQRdM4oiDEczAggggAACpUKAQEWp+Bg4CAQQQAABBBBAAAEEEChLAnqHfk5urvOQ61WtI++d9IJZM/8kZx9tyM7JlsvH3yazN8737Bfa6JqBoUvnrNq5NrSr79d6HNd+9Ve59Itb5O+Tnwok/r7u67t9bx/s2Lxms+DLfM96N/nO/bvz1cXjTXWPpXp27Y9tPoJYHr9rRkWsAhWl+TujjnrhfXiP85ykb8z9UJ6b8Zq1XWdTXNTtTGtbpEpNLu8qny35ytWUr17/Hrhhwj2BP8v5GsLeaLAlVsUVEMzKzY7VLhgHAQQQQAABt4A9VZK7v88WAhU+oeiGAAIIIIAAAggggAACFVMgJyfHeuKb93pfeNQlbf560PXy4KF3WLcPVmqQQGdW6Fr8fkrfxt2d3XSZnGiLXmi97dsHZfKa/HeQ/7h6qrw9z/su8fB9dW/YKbwq7/3YpRPyXsfrRf2q9ZxDxzyhsXNP0TdUTq5k3ShWgYrS/J0JnvjZnU52zgR6a94occ1iOrPDUKlZqUZwmKieD0sb4Oy/dPsKWbd7g7M92PDSr28GlnILvnc9LyvkLCXbeJWTKtuqZX+McppYB6cSAQQQQACBOAsQqIgzMMMjgAACCCCAAAIIIIBA2RbIyLbnCdDlXvyUoW0HmzX2/+bZVYMVF31xkyzbvtKznzb2aNhF6lapbe03esmXsmTbcmubrVIT/F5vZk58+/tkW7N8vvRra72rMpj02NauCZNdF5tt/QtT16CaOzm5LVlzYfYRj21cScj3ZsYmCXhp/s4EPasmVxFNiB1tubzHudFuktf/yBYH5722vbh54gOB3Bi2Nq3TvBQv/fqWqzlf/dzN/gKR+TZyvHEtcRarnCaO3VKNAAIIIIBAXAXsGbviuksGRwABBBBAAAEEEEAAAQTKjoArEfQGDVQ0cM8gCD3DQc0HygsmcfbVX90ZWp3vtQYrrvjyDvnstNcjrrd/RscTnRdIrxx/RyBXRbs6rfKNH/omV3Jl4srJcv+PT4jXTIOG1eqHbhbxdVpqU9GlePRcwssfwZgb5ZmjH4yYpHjVrrXy/e8/y7Idv8ugtIPk0LT+4cNZ39ev6g5UbIowA8Y6YAlXpmfFLgl5af3OhBJf2PUMeXX2u+I3+fkp7Y4TXWatsEW/rye2OVrGOGb7LNzym/xr2stya78r8+1C853cZ/7sfLH0m3z1Xm8WbFni1SzLTR6X9xeMltW71ln7aXBCZ1JUTqokny4Zb+2zNWOHfLl8kmhfDX6lBJ6TpZJ5Xclsl2z+bOoY9U1AT8ehIIAAAgggUBiBeCXTJlBRmE+DbRBAAAEEEEAAAQQQQKBCCNguuAdPPBCoCL7x8XxQs94y4vinZPj4260X8nUInXHwzyn/kb8dcpvniOd2Ps3czf2B9YKu5oM449Mr5Prel8qhB/SXtnVaii5DtT87U1buXC3fmeTEI81SOn5mGJzVyTvHhu0gBzTpVWAZqWC/NbvWy7BPhgdyd/Rq3FW61OsQuJi62azfvyF9s0xZO1Mm/v5jvpkXoxaNlU9OfVVa1W4eHMb53KCae+knvzNgnINH2fD2/E9MMOhHc3E4Od/52IZZsdOebPyX9bMCXrZttK6yuRB9TKvDRS/w62fsVUrzdyZ43FWSKwe+tzr7xk+56sAL/HTz7HOLCUKMW/6t88/kyHkfyZrd6+QiY1zV5ECZtWG+6BJr0f751z/bGoCxBQgyTeDj7NFXWf88ex58WKP+mf7LpIfDau1vr+h5vlxz4EX2RmoRQAABBBAoAQECFSWAzi4RQAABBBBAAAEEEECgbAh4JYAuTHLcXo26ycgTnpELxt7gvDCqyzdd0u0saVkrzYlUq3Kq3DngOvmbSXztKs9OHyH60FKjUnXPmRO2MQa3PEwObtbX1uRZ9+Bhd8iJH10orpkouvEHCz8LPDwHCml8evorZvmsv4fU2F82S21ibzC18V52KnTHMzbMkcenPB9aVajXGijTXAleZb65U79R9YYypPURXt2kNH9nQg9cc1W8+OvIiN9XXbapsTnvohZdRu3KHufL8zPfcA6ls4/0EanobKKmNRo5k9ov2bpMbMujTV03s8hBikjHFt7+X7Nk1fldhhU6v0f4eLxHAAEEEKg4AvGaUeF9y0XF8eVMEUAAAQQQQAABBBBAAIECAl7LIm03dy8XpnSu315eNMtAeZXvV03xag60ndp+iBxyQL+I/bSD13nYBuhtEnY/evhfbU0R6/TCr5+gQsSBQjr4XQooxcxe0KCMrRT287KNFanOz+cXaYxo2v8XlgjdtW1p/c6EHq/OQLmlb/6llkLbg6+vjuFsgItNYLBZauPg0IV+fuDgW+ToFoc6t19glpKylfW7N9qq4143Ze2MuO+DHSCAAAIIIOBXgECFXyn6IYAAAggggAACCCCAQIUTSElyT0L3WhYqElTfJj3lEY9AQHWzxIyf8rSZZaBBhVgWXaJK82no3eGFLf3M+Q3vcV5hNy+w3TmdTilQ56qoV8Wes2BvVoZrk5jXZ+ZkxnxMrwFTK9Xwas7XVlq/M6EHqbknNI+Cq+jMJK8cLK7tXPWa0+HDk/8r+ueysOWG3pfJ0LbHSId6bZxDuBLd92t6oHObeDZ4zdqK534ZGwEEEEAAAZsAgQqbCnUIIIAAAggggAACCCCAgBHQpWVaOZZgOrBR1yIZ6VI9tov5OiPgaLPskp+iwYQXj/2nnNv5VD/dPfvo2vmPHH5XIEihF26LWq7tdXFgrEbVGxRpqCvNWvp+k2nrjro16Gjdny7JU1xFL6QXZxnadrDv3ZXm70zwJBITEuS2flcF3xZ41u9WrEs1Exz873GPSTRBseAx/GXAtXJp97MDb7vV7xSsLvC82ZHQXZN6a66R4iz691osgz3FeezsCwEEEECgZAUSzM/peBT37UHx2BtjIoAAAggggAACCCCAAAJlTOCegTfJoz8/J8G7oWtVrilndDxRhnU4ochnohdcNYGwro+vMzT04uGDh94RyCfgd3Bd7uiO/tfIKe2Pk39N+6/8tGa6300D/bo37BzIb3B866Oi2q+fnejsjHFnvCVvzftY/jPjNd/r8OvF9J4Nu8jNfYZb1/T32vfwnueZhNyT8+XI0CDMae2P99ospm2a20MTkb+/4DPnuKEzVpITkgIzWIIJsZPMe53No8+6DrS+TjT/aQBJt9N6fdbZIxrw6lSvnXM/tobS/J0JHu+xrQaJ5msJ/z53rNc25rOIgvtUaw066KwITegdacm0LvU7yL3m7wc9pmDRJaTa120ti00+ivCSVrNZeFXe+8cG3RMIzszcMFdy9b9cbcqVHPMiJzc78Jydm2Pqc/6sM8/6X84fz/r3xx99zXvTJ/vPbbR/1p/b6bhVk6uY/DfNTTDUvURV3kHxAgEEEEAAgWIUSMg1pRj3V+Rdzdo4Ty4ae1PeOPpL9ZsnPJ33nhcIIIAAAggggAACCCCAQDwENu/dGrgA2LBa/ZgPrxcW9Z9moRevC7sTXeLox9VTZdn232Xd7g2ix62lpknAXadKLalT2TzMc/1q9aRv4x6id5IXV1m/Z6PM27xY5puHBn704mrVlCqiSxfp8bWseUAgQNGydlrgAn1hj0sv2P6yflYgEXXb2i2lhwl6xGKWSLTHoxeGs8w5JurZJJhQQ5zuQIz2uML7l9bvjPppEutfN8wTPca2dVrKSWZ5peL4zup36PtVP8mk33+SZTt+l7W714sGvFrXbiFtzHdKg3D9mxwYThl4rwnQLxhzQ75gmc4sevvE5zyXtLIORiUCCCCAAAIlKHDd13cHfq8MPQRdOvDT00aEVsXkNYGKmDAyCAIIIIAAAggggAACCCCAAAIIIPCHgAYfF5rk2Yu2LpUGJih48AF9ixR8wxUBBBBAAIGSELAFKnQG8CdxCFSw9FNJfMLsEwEEEEAAAQQQQAABBBBAAAEEyq2ALuPVuX77wKPcniQnhgACCCCAQAwFSKYdQ0yGQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECg3ArEaSlLAhXl9hvDiSGAAAIIIIAAAggggAACCCCAAAIIIIAAAgggUPoFCFSU/s+II0QAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoNwKEKgotx8tJ4YAAggggAACCCCAAAIIIIAAAggggAACCCCAQOwEEiQhdoOFjESgIgSDlwgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIFC8AgQqitebvSGAAAIIIIAAAggggAACCCCAAAIIIIAAAgggUCYFmFFRJj82DhoBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQS8BJhR4aVDGwIIIIAAAggggAACCCCAAAIIIIAAAggggAACCMRVgEBFXHkZHAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB8iGQEJ9c2kKgonx8PzgLBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQTKpACBijL5sXHQCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggUrwDJtIvXm70hgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAMQgwo6IYkNkFAggggAACCCCAAAIIIIAAAggggAACCCCAAAII2AUIVNhdqEUAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIEQgXgt/ZQcsg9eIoAAAggggAACpVYgV3Jlb2aG7M/eL4mJSVIlqbJUSkoptcfLgSGAAAIIIIAAAggggAACCCCAgD8BAhX+nOiFAAIIIIAAAnEUmL1xvry38DOZvn52YC/ZudmSmZ0lfzxnSpZ5n52TXeAI2tdtLe8OfV6STOCCggACCCCAAAIIIIAAAggggAACcRZIiM/4BCri48qoCCCAAAIIIOBTYHvGDrlw7I0+e+fvtnjrMrnxm/vkucEP52/gHQIIIIAAAggggAACCCCAAAIIlBkBAhVl5qPiQBFAAAEEohFYsGWJzN+8WOpXqydNqjeUulVqS83KqSwVFA1iMfWdsPKHIu1p+Y7fi7Q9GyOAAAIIIIAAAggggAACCCCAQMkKEKgoWX/2jgACCCAQB4HLxt2at4SQbXhdJig5weQ4SK4iKUnJUtU8V0qsJJVNvgNtS0n84zlZ+yUmm/fJgecks01SQmLgdUKCpo9KMP0TZWCzk3tzYQAAQABJREFUPnJE84Ntu6LOh0BmTpaPXu4uDarWczfSggACCCCAAAIIIIAAAggggAACMRMgmXbMKBkIAQQQQKA8CyzautQzSKHnrrkO9L99JilzLMqHC8dI3yY95eXjHo/FcBVujMEtDpN//vyfQp93/Wp1C70tGyKAAAIIIIAAAggggAACCCCAQMkLJJb8IXAECCCAAAIIxE7glz+TMcduRH8jTVv3q6zatdZfZ3rlE9BAw18Puj6wPFdog85u0UflpEpSLaVqaFO+1zVSqud7zxsEEEAAAQQQQAABBBBAAAEEEIiPgK4wEY/C0k/xUGVMBBBAAIESEziy+UB5fMrzJbL/jXs2S1pq0xLZd1nf6ZkdTxJ9eJVjPzhXNuzZVKBLjUoEKgqgUIEAAggggAACCCCAAAIIIIBAGRJgRkUZ+rA4VAQQQACByAJNajSSa3tdHLgTP3Lv2PXQO/97NuwSuwEZqYBAZnZmgTqt0BwjFAQQQAABBBBAAAEEEEAAAQQQKLsCzKgou58dR44AAggg4BAY3uM8uaDL6TJ380JZuWO1bEjfLDv27ZQdGbtkd+Ye2b1/j6Rn7ZW9WRmyZe82Sc/c6xjJf/X5nU8r9uCI/6MrHz2zc3OsJ1IlubK1nkoEEEAAAQQQQAABBBBAAAEEEIitAMm0Y+vJaAgggAAC5VxAL173adwj8PA61a+Wfyd3THrI2uXegTfJ4WkHBZJu7zeJtzX5dkb2PtmbmREIdKRnpge2a1unlXSq1846BpWxE8jMsc+oqJJEoCJ2yoyEAAIIIIAAAggggAACCCCAgFsgPhkqRJhR4TanBQEEEECgggvUrJwqmuiZUjoEsnOyrQdSObmStZ5KBBBAAAEEEEAAAQQQQAABBBAoGwLkqCgbnxNHiQACCCAQJ4GEBPe9ADmOpYbidCgMG0EgK9cRqEgiUBGBjmYEEEAAAQQQQAABBBBAAAEEYiPgcR2lKDsgUFEUPbZFAAEEECjzAokJ7h+Frjv4y/xJl7MTqEIy7XL2iXI6CCCAAAIIIIAAAggggAACFU3AfXWmoklwvggggAACFVIgyStQ4biDv0JClYKTdgWOKjOjohR8OhwCAggggAACCCCAAAIIIIBARRAgmXZF+JQ5RwQQQACBYhdITnSna8p05ESIx0FuTt8qXyybKL+snyUb0zfL5r1bZde+3ZKSlCINqtaVZqlN5JAD+smg5gOlcfUG8TiEvDHTM/fKpN//J9+t+lnW7l4vm8yxbcvYLkmJSVKnSi1pVK2B9Gt6oBxhjqVD3TZ525XUi5TElJLadWC/e0xS9TXGae2u9bJq11rz2W2TfVn7JMM89mZlBB7a8brel0j7Oq1L9FjZOQIIIIAAAggggAACCCCAAAJFEfBaQrso47qvzhRlVLZFAAEEEECgjAh43Y3vuoM/lqc2dd2v8sTUF2Tx1mXWYfdl75fd+/fI8h2r5MfVU+XRn5+TXo26yV8PukHa1mlp3aawlXqR/bEpz8sPq6bYhzApIjSIscZckJ+xYY68OPNNaWSCJncNuC4QQLFvFJvaXMl1DpRsAijFWfSzmrJuhvy8ZkYgsKSfkZ+yauca+eS0EX660gcBBBBAAAEEEEAAAQQQQACBCiVAoKJCfdycLAIIIIBAuIBXoGJ/TmZ495i935axQx7+6WmZsOKHqMfUIMHpnw6XczqdIncMuEaKOu0yKydLXp71trz061tRH8uGPZvkpm/ul+4NO8sLxzwi1VOqRT2Gnw28gkZes2L8jO2nj86a+HjxF/LG3A9FZ78UpmiwSYNBaalNC7M52yCAAAIIIIAAAggggAACCCBQ4gIJcToCAhVxgmVYBBBAAIGyIVDJI7+BXsCPR1m/Z6OcNfpq2bFvZ5GGf3fBp7Jp7xZ5bNA94pUU3GsnmeYcrxx/R2CGhFe/SG2zN86XM0dfKSNPfFbqVqkdqXvU7XqcrpLisXyXaxu/9TqT4615o+Tfv7wiXsESv+ONX/atDO9xnt/u9EMAAQRKhYD+vPpl/WyZsnamLNz6m+zI2CnbTd3uzD2Bvxt1aUAN/NeslGp+BtSSA2o2leY1mwVm/vVs2DXuSxaWCiQOAgEEEEAAAQQQqCACRb1Z0sVEoMIlQz0CCCCAQIUQqGRyQLhKZnbsZ1Ss271Bzv7smiIHKYLHrDMy/jb5KfnbIbcFq3w/7zfnd8X42+XXjfN8b+PVUZeEumDM9TL6tNck1rMccnJznLuO9b6CO1ofmC1ynyzc8luwqsjPutQXgYoiMzIAAggUg4D+jBiz9Gt5bc77smrnWs89aiA3PWdvYHlADcbP37IkX/8Lu54uN/e9osgzAPMNyhsEEEAAAQQQQACBciVAoKJcfZycDAIIIIBAtAKarNpVYr30k15sv+LLOzyDFHpH6jGtBpk7UZsGckHM3DBXVu5c7TrEQP3oJV/K8a2PlP5Ne3n2C2/UfBSRghSHpvWXLvU7yM59u2SWmTWhd9J6zSzQYMVzM16Xm/pcHr67Ir33ChrpnbyxLnr38LkmoLTVJBGPZZm3eVEsh2MsBBBAIOYC+nf8K7PflRHm4TcHT6SDeHPuR5KTmyu39bsqUlfafQqMnPeRTFs3S7o36CTHtzlKmtZo5HNLuiGAAAIIIIAAAkUUSIjP4k8EKor4ubA5AggggEDZFvDMURHjGRUjItyVemr7IXKnSUwdfkwZWfvkru8ekW9/n+zEvvXbv8vEsz8UrxkioRvP3rRAPlo0JrQq3+v2dVvL84MfkfrV6uar16WQXp/zgTxtlkJyldfNeZ5gLpq0q9PK1SXq+qxck8nbUWI9o0IDSpd+cavvIEWtyjWlb5Me0rle+8DyJg2r15f7f3wiEGgKP2RNRr7d5CepbZZGoSCAAAKlTWDxtmVys8k7pEHnWJcpa2fEesgKO96HC8fIk1NfCpz/96t+NjcIvCaHHNBPnjn6IbMUZHwuHFRYbE4cAQQQQAABBIpNILHY9sSOEEAAAQQQKIUClRLdMyoyY5hMe1P6Fnlu+ginwLmdT5X7D76lQJBCN6iSXFn+ddQDcl2vS5zb796/R75c/q2zPbzhjm8fCq/Ke68BhneG/qdAkEI76FqUl3Q7yyTOflS8ZjKMmP1e3nixeJFl7vB1leSE2M6oGGfySCzdvsK1u0C95uHQz+urs96V784dJU8ccZ9c2v3swF2tfRr3kCGtjnBuv84si0JBAAEESpuAXvA+89Mr4xKk0HPl777YfeITVnxfYLAfV0+VN+d+UKCeCgQQQAABBBBAINYC5KiItSjjIYAAAgggYAS8kmlnZrsTOEeL9/7Cz5ybNK7eUG7te6WzPdhweY9zJSN7n7wy651gVb7nkSbp89C2x+Srs72Zvn6O6BrirvL00Q9GzDFxULPe8t9jH5fLxt1iHearFd/JvQNvkmopVa3t0VZ65agwsZOYFp0R4io62+X63pfKOZ1O8QzUnNDm6MDSKbZxvJbOsvWnDgEEEIi3gF7kvmHCvb5206h6A2lWo7GkmSUK9Tm1cg3ZZ2b+7TBLBK7ZvV4WbVlqXbKwZ8MuvsanU2SBFY4lIWdtXBB5Y3oggAACCCCAAAJFFIjxP8Hzjoaln/IoeIEAAgggUBEFvJZK2p+9PyYkui73ewtGO8e6vMc5nhe9Qze8oMswZ6Bi8dZlgYtDLWoeELpJgddvzx9VoC5YcWSLg32vc927cTfRfdlyaOjFeE3CembHk4JDF+k522Ppp6QYz6hYtuN367HqDJL3Tn5RWtVKs7aHVraq3Tyw9NWSbctDqwOvdakoCgIIIFBaBDbs2SQ3fnOf5+FokPa09seLzv7TAEWkoom4NSePzk7bvHebVE2uImd0ODHSZrT7FKiSVNnaMz0z3VpPJQIIIIAAAgggUBYEWPqpLHxKHCMCCCCAQNwEvPIbxCqZ9owNs0WXZnKVISYRtt+iF7lPNHfru8q0db+6mgL1evFo4kp3roszOgz13D688cqe54dX5b3/OZbrkefmDVvgRSzv5tAk2q4ZD81Tm/oKUgQPUJeGCl8eS2eY6N3IFAQQQKC0CNxncuq4/t7TY7y218Uy+fzR8pcB1/oKUug2ehPAgY26yukmOHFVzwvkoq5nxGyGnY5f0UuNStWtBOlZe631VCKAAAIIIIAAArEUSIhTTiwCFbH8lBgLAQQQQKBcCWTlxGbpp1/Wz3a6DGp+kFRPqeZstzWc3elkW3Wgbs6mhc42bViwZbGzXS+iD2jWy9luazi21aACF+OD/eZtdu8r2Mfvs9eMilj+kpTikbNk+Y5V8pZZXivT5/eia4OO8qLJ5dGlfgfRi0q9G3eXV457wnfCc7829EMAAQQKKzBr4zzxSnL9yOF/leE9zou4HGBh9892hRNwBSoSEvjnfeFE2QoBBBBAAAEEohEgR0U0WvRFAAEEEEAgCgG96912N2mGWXM7FmWmyQnhKqe0O87V5KxPq9nM2TY/QnBg5oa5zm1PbDM4kCzb2cHSoHb1q9YVXTokvGidXtRPSSz6SpO5Zvms4igarNElTvY5lv16YuqL8qxJij645WFyWNoA6dukp9SpUst5aNr+9tDnnO00IIAAAiUp8Mni8c7dP3v0Q3JoWn9nOw0lJ5DqmFFRPUZ5oUruzNgzAggggAACCFRkgaJfOajIepw7AggggEC5EEg2OQ6yzX/hJTMnM7yqUO/nbHbPcmhXp3XUY9aqnOrcZotZC9yreCXa7FA3+mPRfTWsVs8aqNC2HRk7pX61uvqySCVHcoq0fTQbd6jXVmZvnO/cRIMYY5ZOCDy0ky7H1c8EJDTBuAYm0swSURQEEECgLAiMWzbRepg6E4wghZWmVFTWSLEv/eS1nGWpOHAOAgEEEEAAAQTKhUCcVn4SAhXl4uvBSSCAAAIIFEUgxaylbbuDXvM5xKKkZ7rXjG5So2GhdqEXxzWfQnjZEyGR5sb0zeGb5L1v7jFTI6+T5UWTGo3EteTUrv27YxOoKKYZFXp6d/a/Vs79/FrLmdqr9HP4esX3gYf20FkZGrjQZbF05gUXjuxu1CKAQMkK6N9dtp99elQadKWUXgFNTm4rSRVw6Sf9HUt/7lIQQAABBBBAoOwLEKgo+58hZ4AAAgggUESBSo68BPsdy/9EszuvIIUGGxILeVFBl1uyBSpcF52Cx7xz/67gywLPaTULNxOgYbX6BcYKVuzKdCcRD/bx8+y19JNXm5+xw/t0rt9eHj/iXrnn+386L+KFbxP6Xj/zSb//FHg88OOTckbHoXJe51NFAzoUBBBAoLQIrNu90XkokWbnOTcs5Q2rdq0V/Tu6be2WzvxKRTmFrRnbZe2u9bJ69zpZbZ51VmFGdoZkZO03P0/2yd6sDEmtVEPuPuiGqPNThR5XrtiXQyzs7xShY8fq9ab0LfLdqp9k/uYlsmnvFtH3ezMzpF3dVtKjYWc5sGFX0VxOhS3vLvg0sBSjfp66DOUtfa6Q87qcZh1O3fVGjbTUZub3rgRrn/BK/Sz1hpXG1RuEN/EeAQQQQAABBMyi0fEoBCriocqYCCCAAAJlSkBnVNhKpIv+tm3C63aaGQWu0qwIF669ln9y7U/rd+5zH0/DaoX7x3htjxwNsQj26HHn5LqXfsrKLbhsl25TlKIzIfo07iGPTXleXEuj+Blfv0OagFsfujTUQ4f+RepVreNnU/oggAACcRXQGW+u8tPaX8yl8Nyo8xa5xotUv8Zc1P/75Kdk3pbFZjm9VDm306nOi86RxrK1r929QYaPv010P1o0GfWoU16WRkW4CK05mDQZ+c9rZwQSks/fssSa78p2PLXNjQp39L/G1uSrTvdtKyU9g0/zfY1aPFZGzH5f1u+xB8JW7lwtE1b8EDj89mbJyb/0v056N+5mOx1n3ee/fS3//Pk/ee2638enviDDOpwgVZIrB+r1s350ynNmKccFeTd26MyLN054WtrVaZW3bfCFzkh9Yeab8sOqKYFAUzB3mR7jv478mzRLbRzsyjMCCCCAAAIVXoBk2hX+KwAAAggggEC8BCo5AhWZMVj6Se/ic5WmRfhH74597pkRrv1pfYbjePSijd+7DMPH1ztGXSUWibR17ASPOyCDFxNcx1DYek2S/cjhd8k9A2+Uz377ygQsvvXMXRFpPz+tmS7Hf3i+vHTcY9KzYZdI3WlHAAEE4irQqnZz5/ib07fKU1P/K7f2u9LZJ1YNG/ZsCiy3F5wluHv/nsBFZ52Rd1XPC2Kym2u/uisvSKED6j7OG3OdfHba61EvG7TOBD3emv+xfLRwTKFm3en+9WeK30DF2/M/MRfQ3wgcs27rVb5Z+aMMHXWRVEqsJClJyaI/gyslVRJdKkov4FdJqiyV9dk8NKhRxbQNaj5QOtVr5zWsrzZdAvGRn54VnYngtyzeukwuG3dL4Gfik0fe7zuQP3LeR9ZdTFk3Uw5PGyCvzn43MNsivJPOvrhy/B3y1Vnv5luW8ePF40zg4znr56nH+OS0F+WpIx8IH473CCCAAAIIIBBjAWZUxBiU4RBAAAEEyp6A/sPdVvbHIJm2XgRwlV0esxtc2wTr1+3ZEHyZ77myx/60oysfh1dAJd8OLG/07khXqZZSzdUUVb3XHRtesy2i2omjc3VzDud0OiXw0LtYZ2yYI9+v+jnwWLVzrWMre7XOsNCLJB+d+jJJt+1E1CKAQDEJ6BKCeoe5Xry1Fb0YnGqC2Jd2PzvfRV1b36LU/XfW23l3vIeO89rs9+Tirmfm3SEf2hbN629/nyzLd6wqsIkGY2ZtnB+Y7Vag0VKhTv/46RkZs3SCpTW6Kg2UzN20MOLSR/oz53Ezs89v0cB9tD+XXvr1Lbnv4FvktPZD/O4mXz+deaNBLVfwIF9nx5tfzcyU0z65XN4a+qyvn41Lt6+0jrRl71Z5xQQpnps+wtqulRpIGbv0Gzm53bGBPv+Z8bq8bL6DXmXiysmBGSKNqxcur5jX2LQhgAACCCBQFgW8biQsyvkkFmVjtkUAAQQQQKA8COjdhraSZf7BX9SieShcxSuxtWsbrc/I2ue8sBQpIbbOErAVvbjhWkrC1j+0buUOd6CiRc0DQrsW/rXHEpjxWPrJdaB6d2r/JgfK7f2uls+HvSGTzx8tzxz9oJxrclC0MWue+ykarHjof0/76UofBBBAIK4CA5r28hz/eXMn/6B3T5ePFo0JrPHv2bmQjesduTL078qiLL0XPBxdzsdVtvm8+3/6+jkyxMyIi0WQIngs09bPCr50Ps/ZtMDZFsuGT5eML9RwObm5cuOE+4oUpAjuWGfUnP7JcFm45bdglfPZNZNSl+HyClIEB3x9zvuBlyNMMCxSkCK4jX4HKAgggAACCCAQXwFmVMTXl9ERQAABBMqAgGsWggYEilr0blVX2Zqxw9XkWa/JQF2lS/0OrqZAva6LvUrs2+udiIW5W9C1DrWu/e1aVsvzIC2NieK+tyInx52/wjJUTKt0tsVhZpkJfWjROzU/MUtIfLDwc9HlTFxlirmYot+v4Frarn7UI4AAAvEUuKP/tSbh8c+euRX07v8/gqtPB5IWN09tKmk1m4nOyGhtlo/SIK2u+V+/Wt1CHWrr2i1k8ppp1m0/MRfQTy3knf46oC7bow9X6VS/vaspr362CRbo8kSxLjM3zJVLup3lOawu2VQcZZljhkKkfT8/8/XA7EKvfvo7Vod6bU3y8Kom0fgG8ZqFqcGpi8beKN+e85FzSS5XInE9hq+Wf+d1KHltOsNGl8l6ZvqreXWRXmjQ6IQ2R0XqRjsCCCCAAAIVQsDjPsIinT+BiiLxsTECCCCAQHkQqJxsn1GRHaMkzWk1m1qXYtC7B3UWQ7R5HOZtXuRkjxSo6FSvvcwxy03Yyupd66IOVKw3F+P1woKtdDb7ilVJSkxyDhXvpZ+cO7Y01K1SWy7rfk7goQk5b5p4v/MCoHq3rdPSMgpVCCCAQPEINDYB5Zv6XC5PTn3J1w71Tna9yGtbSkl/1p3Q5mg5td1xUSWp7tmoi/OO/NlmaabtJqhf2zEbMNJB6x3zrqIX0FvVSnM1B+o1H8Xwcbd59glt1ITL/cysu7YmeNOwen3RmwOGj789tEve60Vbl+a9dr3oULdNIDjkmkHg2i7a+oHN+kS7iWg+iFdmvePcTn0178QhB/TL10cTkN8x6WFnMF9/p/iPCYDozEVbiZXFrRP/ZhveWef63cm5AQ0IIIAAAgiUYwGvpZmLctru2xOLMirbIoAAAgggUIYEXDMqYpFMWxn6Nu7p1NBcB9GWDxZ85tykS4S7Q/s26eHcdvyySc42V4MuB+IqXRp4z+5wbWerTy7GQIXOWNE1zfUCWZYJJBW2HJrWX45qcUhhN2c7BBBAoFgEzus8TIa2PabI+9LcCC+aZZaO/eBck5j4P7Jr/25fYx7crG/gYryr87jl37qaPOt37Nsl4z22PbvzKZ7ba+OzM15zBuODG3dr0DGwBKAuBTj29JFyv8n3cF6X02Rwy8Okb5Oe0tmRqHqzmcUYqSQmJMq7Q58PLDmogaDgw7WdBvVrmLwiOptTf7fRh9YFH+Hbab0Ga64+8KLwJs/3uuTTXZP+4ezTu3F3GX/mOwWCFLpBj4Zd5P2TXvC8MeLteR/nS34euqNolqnU/FJ3H3Rj6ObO1zoj6L6Db5buDTtb+2xId8+StG5AJQIIIIAAAghELcCMiqjJ2AABBBBAoLwJOHNUxGhGxUHNesvHi7+wso35bUJUF7P1Ivr8LUusY2llW7P8hlfp29gjUGEu6Nw98Abxe3eELr/w4UKPQEUMZ1SkJKY4TytWMyo0KHHTN/fLj6un5u1LZ0g8N/hh6RwhAJS3QcgLXdrpl3XuNcgj5RMJGYqXCCCAQNwEEhMS5MFDb5eB5mfVPT885pwFFs0BvLvg08DPvReOfVR6NermuakugTe0zWBx5UkYveRL0QvO0ZYPFrqD+jrWhV1O9xxSk2d/YZIuu4oub3jvwJusF+NDtxna7hjPn9uhfW2v29dtLS8d91i+pt5vHGf9nO4acJ2c3uHEfH3j8Wb8somBpQ5tY+sSki8f97hokMVVdIbMa8c/Fcj74erzzoJPrLMq/P7M1+90MACn34Ul25a7dhVYtuz9k16UelXrmOBO5cCNCuGdd+3zF3gL3473CCCAAAIIlEsB8/tjPIr7t4d47I0xEUAAAQQQKEMCsVpeYFDzgc67Rb9f/bPsyUz3rfLBgs+dff3khNCLAz3N3Yy2ouuQT/O4sB6+zc9rZoguX+Uqneu3czVFXe+a9aID7c/JjHo82wavz/kgX5BC+2jOieu+vjvqROP7szPl9kkPOi/k6IWnWOXvsJ0LdQgggEC0AkNaHymfnjpCTjFLN9UySxYVtegSPpd+cYvnxf7gPnQGgqtocmVdgimaonf8vzH3Q+cmR7c8NHBR2tnBNKwwS1y5ii7xNPq01yIGKXT7kxyzVbx+rrn2q/V6bq7fT6olu/NieY0ZTZvepPC0R26Hxwbd7RmkCO6rSY1GcrFHjo4kR6Ajyyw/Fqlo7o9gkEL7ah4Vr/LCMY/mfR9cy4Hp99lvkMRrX7QhgAACCCBQHgT83twY7bkSqIhWjP4IIIAAAghEKaA5KPRuUVvRiw33mjtY/ZSp6351ruOt20e6OzS4j3M8lru406wb7SeJ+Kb0LXLnd+5lH3Qpj1hc6Aoes9dFfT/HGxzH6/lXs262rWiw4q15o2xN1jpN3Dp01EWiOSpc5UiWhHLRUI8AAiUooEsLPXDIrfLduaNk1Kkvy7W9LpbD0gYElhzSZYIKU/76/aMy15EbKTieJuP2upj81vyPg119PX+z8gfR4LurXNnzAldTXr3OYHQVvQFBZ4L4KdVTqslt/a4q0LWHY4mhAh3DKnbt3xVW8/9vdcmneJdFW5Y680tocMC1dFL4cS3etkw+M7NlXKV+1XrWpkjBAl366qoDL8y3rddnpb+v6PcvWFIr1wi+LPC80ywnRkEAAQQQQACB+Amw9FP8bBkZAQQQQKCMCOSauxNdRe8cjMXdAhd1PcO5rMXElZPl5m8ekIcOu0P0goat6EWeq7+609YUqNMlis7udLKzPbRB8yZoEME2G0Ivyp8x+orAckctah4Qulnea93u/DHXW7cPdrrzoOuCL53PaqszRKZvmC26xEZ40bwUuixXJbPsk9esicmrp8nerIy8vilJyYEE5bpclG6vF9dqVU6VOmY2SWE/S113/bT2QzyDL5vTt4peTHt9zvvhp5Lvvd5F6zeolG9D3iCAAALFKKCBg/DgwZa922T6+tmi+ZV+MMvk2X6O2A7xWjMzbfyZb0vV5Cq25kDdBV2HyQM/Pmlt/8gsM3hTn+GBv9utHcIqX/NIoq2zCkMvTIdtmvfWK0D+3oLRctgB/aV/0155/b1enN9lmPmJZ37mLfxc9uxPDyTcvmPANV6bONu2meTirlK1GAIVP6x2B+Fv7XuF69Dy6jUR+7NmRob+7uNVTjZLZtmKazZJsO9dA64P5OYIvtdnr+/dTX2Hh3Y137GUfO9D3/iZzRHan9cIIIAAAgiUV4E4rfwkBCrK6zeG80IAAQQQ8C2Q7ZGLIjM7KyZL9LSq3TwQSNCLG7aiyZsPe8ck32xxmBzRYqCkpTaVZHPBfdaG+fK/Nb+ILhHl9Y/zuwfe6FxeKnx/yWaGx9/N2s03Trg3vCnwXhOinjzqEtFkmCe0OcpcqGohqZVqBNZ3/mnNdJkQ4U5VXR9bjz9SedVcSHpu+ohI3SK261ro+ohUAutmD3nceWytajUvsPRTcExd8mH4+Nvln4ffLfpZBst2c8FIZ2K8az7XKWtnBKs9n/WiSHHc9ep5EDQigAAChRDQNfyPaXV44KGba9Div7Pejvj3nwY0Pl70RSDJtGu3x7c+Sh756Vlr8mr9O1jzIoQu5+Ma57dtKzxzQugsET8lLbWZs5v+PL7yy7+ILrmoy0hp0EJnEnhdEL/A5MTQR1HLdo8lF732X9T9Bref9PtPwZf5nnVJQ11e0lb08/tq+SQzK3SU6KzDSGV4j/OcNwZ4/c6myzbp7y3hxTUbKHw2hW7nFaDK8vh9MXyfvEcAAQQQQACB6AUIVERvxhYIIIAAAuVMQPMJuIomWPb6R6trO1v9Db0vkzFLJziXo9ALH+NNQmt9RFP04oDOkoimHG6W8tB/oE9eM825mV6A0kc0RS8GXN/7Ul+bjFs60Ve/WHVav2ejvDPvE/nLgGutQx5rLr6NnPeRtU0r9eLKqZ9cFggy1KyUKtvM7BO9+BJNuebAiwqVFDaafdAXAQQQKC4BDWi/ZB6zNy2Qmybc58zLo8fz2tz3PQMV+rP23M6nymuOWWmvz/nQV6BixJz3nKevMwX7NunpbA9t0GWw9Gea100CG/ZskrfnfRx46Laau2JA097m0cvMmujpvNgeup9oX2uA3FXinaNC82PM27zIuvsjzHJYoUXdpm+YI2PN7z36u4+XY+h2mnz9ml4XhVble+2eAytyv1m2zFY0YbytXNTtzALVXrlDIi07VWAwKhBAAAEEECinAoVdqSASBzkqIgnRjgACCCBQ7gUyPQIVmSZQEauid9GPPPHZAksSFHX8Bw62/8M80rhPHHmfuJJGRtrW1X6zWZpDl1nyUzakb/LTLaZ9vv39f87xujboGJhF4uzwZ4MuU6VBj2iDFBoguaLn+ZGGpx0BBBAocwLdG3SSsWeMFNeSgXpCujzejghr/F/Q1T3jYOn2FaKJtb3K5r1bPZN339DnMq/N87XpBetrD7w4X12kN2t2rZdRi8bK7d8+KIe/M0yO/eBcuf/HJ0zQf06kTX2379q/29m3epyXftrpMZujtZl9qctSff7bV3L9hHuk38gT5AozE3G0yUPhN0ihN1C8eOw/C71MY4e6baw2CY7E3JVNcCy86KxTV/GazeHahnoEEEAAAQTKowCBivL4qXJOCCCAAAKlQqBt3f9Pohh6QHonZapJyhjLooGBV4c8GZNghR7fy8c9Lp3rty/UIeoSEa+f8O/AHaCFGiBsI50xoutw+y16t2lxl1a10zx3aUt46rmBz8YHzVJb53Q6xWdvuiGAAAJlTyD4M0V/NrnK8h2/u5oC9Zpv6dhWg5x9Xvr1LWebNrwy6x1nuy7TdGSLg53ttoaLzR33l/c419bkq05nXOiF+svG3RIIWrxllj7ak5nua1tXJ69ZoPFeVlDzWLnKXyY9LEe8e7rc+8Pj8sOqKb6DEzqeBoX05+R/jvlHxFms9rkRfxxV5SR7gvPc3BzrYe/zuFHFtoHfgIttW+oQQAABBBBAILIAMyoiG9EDAQQQQKCcCwxrf7z1DB8bdI8kOu7Cs27gs1Lv3B97+kjpZp4LWzrWayvvn/Si7yUsXPvRpNqfnvaanNHxRFeXiPU6xpNH3i+Xdj87Yt/QDud1HhaXZTFC9xH++qyOJ4VX5XvfqV47efPEZ6RGjAJUg5ofJO8M/Y+v5UryHQhvEEAAgTIoUMfkKDjPLN/kKsu2r3Q15dV7BQY0n9N6c/HfVnS2xoeLxtiaAnUaTI/27j/9HeC6XpfI+ye/GMhB4RzcR4MGLZ6Y+mIgH9XjU18QXVqyMGV/jnu5yqrJVQszpO9tvAIVvgcJ6ahBLZ1p+O05H/n+OZmU4A6EOVZ4kows+zKN+7L2hRzNHy+9ghFeQbgCA1GBAAIIIIBAORZIcP3QLeI5u+c1FnFgNkcAAQQQQKCsCOhyBe+e9HxgjelFW5cG1pce2nawaO6HeJX61eoGLoiPX2aSS8790DPxZ/AY9B/IfRp1D9zd6XeN7eC2Xs8pZpmDuw+6UYa2GSy6trcrUWb4GOpztpklcEq7YwsV0OnduFvg4sS0dTNFk4Pm6n9m8Wm98zE7cPdjrrmQkx2o13Wh9aH1ukZ2sE+w/o/nXNOe/Uc/s11OYLycwIWpxjUaSp/GPaRdHfvsmdBzCyxhcvqbgbtCv1/1c2iTr9ca5NB11s/udLLo3cEUBBBAoCIJ9GtyoLw5157vRxNdRyr697QG8udsWmjt+ursdwI/s8IbXze5LVwXmTWgPqT1keGb+H6vSwq9ecLTsm73Bvlg4ecyceVkWblzte/tQzvqMWpei0lmKcK3TnxONLgTTfGaURGrnFqu49GlnWJRdHbLJd3OkpPN7w/RJgBP9pixs88EJKokF5xVke6YxWJbyslryc9kjyBJLFwYAwEEEEAAgYouQKCion8DOH8EEEAAgYCA3kn/0GF/KVYNvbNzSOsjAo9Vu9YGElSu3LFG0rP2yta926Vm5RpSp3KtwEWMLvU7mMBJGxMQ8Fr0oGiH371hZ/n3UX83a4jvlJkb5pqLMGsCF2X0OE14QGqbCz11zIV3Dez0bNgl4vIMfo5Gz6e/STpa2ope1Hrm6Adlp1kLXJN+j1n6tfy+c23AJvRYNeDUtEZjaZ7aVNJqNhOd6XLoAf0KFbgJHZfXCCCAQFkV0J8RruKVXyF0m+t6XypXjr8jtCrv9ceLx4nOjkitVCOvTnMHvTnPHhzRTjeY8WLx87NJjUZyY5/LAw/9+fDTml/kOxPQnrx6WoGfD3kH53ih+Swu/eJmM1vjpah+nnrl1XLsKmbVlcwSTUUp+vP+su7nBBKNF3Ycr1kNmjvKGqgwv1fZim2pKFvwIrit176DfXhGAAEEEEAAgcILEKgovB1bIoAAAgggEDOBNL3QbR6loehF+kHNB5aGQynxY6hpLoSd1emkwEMPRmd9aBBJlwOJ9i7YEj8ZDgABBBAoBgENartKw2r1XU356vubWRk6s2LJtuX56vWNzkh4Z/6ncqVZMihY3pn/iedsilPaHRfsGrNn/fmg+TSCOTU2pm+WaetmBYIXP6+bEUgeHmlny3eskvcWjJYLPZKIh4+RZWYO2ormeYh3KUzersbVG8qZHYfKSe2OkfpV6xb5EL2WftqXrUs5pRbYx96sjAJ1WlE1pUqBetesHO0Yj+VACxwAFQgggAACCJQBAZZ+KgMfEoeIAAIIIIAAAuVbQGeX1Ktap3yfJGeHAAIIFEFAZwi6il609ltu6XulXP3VndbuI2a/G1g6SJc60qWQXp71trWfVl5z4EVSHHfCaxDmhDZHBR66X83HoctEfWJmgOid/q4yatHYqAIVJbn8UOgsFtf5aL0m9T657bFyWofjfS256DVWeFuK+cxdxeW8x8y4sRXbslNeuUNK0t52/NQhgAACCCBQ3gSYUVHePlHOBwEEEEAAAQQQQAABBBAoIYGxSyc499zE5AvyWw5q1lva1G4pS7evKLCJXpAetXisnGPyJH1oggGuC9SaM2iYuVheEkWXwLpzwHVye7+r5bW5H8hz00dYD2P9no3WelelK0eDa6aFa5zC1EfKu3S8CdSc1n6I9G7c3YT147NUpdeMCteyWBmOGRW2ZaK8HL2CJIXxZBsEEEAAAQTKqkC8fs4nllUQjhsBBBBAAAEEEEAAAQQQQKDwAhlZ+2Tx1mWiz7EoO/btkrfNMkyucmCjrq4ma/3NfYdb67XyxZkjAwGKF35909nn2l4XS3Ji4e7Ny8nNkQVblsg3K38UP0nAXQehszkuN3kZdFnFWJSURPuMAl2yaHP61ljswjmGzijU2RK2oktg/eOwO6VP4x6FClKo99crvpexS7+RrRnbbbsI1HnlGnElwnYu/ZRccOmnLOPoKiz95JKhHgEEEECgognE53YEkcL91lbR9DlfBBBAAAEEEEAAAQQQQKCcCOhd/DdMuDcQpNBT0vwGrw55Uro26FjoM9yTmS4XjrnBmSvikAP6SfWUalGNr9u0qpUmmsshvOzYt9Mko75Fdu/fE94UeK8X1E/vcKK1LVLlpvQtcs7n1+S78N/N2Dw3+OFCBRyWb//dmWy7Ra0DIh1Ovva0mu58VrM2zZejWhySr3+s33Ss21ZmbJhTYNgfVk8pUOe3QgMsZ39+dT7v2/pdJed3GeZ3iEA/14yKPfvTreNUsQQqJDfX2lcrvWZzODeiAQEEEEAAAQR8CzCjwjcVHRFAAAEEEEAAAQQQQACBsi9w/pjr84IUeja6dNJl426VaJchCkroHesXj71JVu5cHawq8Hx6hxMK1Pmp0FwVrjJv8yJXk1zb6xJJKeRsir9MejjfRXPdyZxNC+Wh/z3t3J+rQZNsX+XItaHbHNSsj2tTa32X+h2s9Vr56ZLxzrZYNfRreqB1qHSTB2L88m+tbV6VGnA6b8x1BbyfmPpiYEaLbVtX4vD9OZm27qJBNFux5aiw9QvWeeWvCPbhGQEEEEAAgYogEK9k2gQqKsK3h3NEAAEEEEAAAQQQQAABBIyALvNkWyJIgxUXmWDDzv27o3Jav2eTXPLFzbJk23Lndu3rtpbDmx/kbPdqODStv7SoGd2sA51NcWbHoV7Dera5AiC6NJEuB+W3fLl8kgz58HzZYIxc5cjmA11N1nqv5Zd+WDVF9BHPckq745zDayDHlS/EttEKM1PmzNFXOX2+Wv6dbTNx5YpwLf3kOqZoA1mu8a0HSSUCCCCAAALlWiA+iz8RqCjXXxpODgEEEEAAAQQQQAABBBD4fwFNIOzKM6AX1I83F9anry+4tM//j/DHKw1Q3PvD43LcB+fKwi2/hTfne//4EfcWKm9BcBCvXBXBPqHPRZlNETqO7bVejM81/3kVzftx0zf3ic7M0NwRrtK9YWfp0bCLq9lZ7zWr4rZv/y7f/j7ZuW2wQWcyfP7b1/LwT08H8opEOqfgdo2rNxBdBstWdBmuq7+8M2KwS4Nlr85+V075+FJnkELHb2T2ZSu2JNjab6+Z1RFeXLMgNHeIrSQmui+RZDpmbNjGoQ4BBBBAAAEEohcgR0X0ZmyBAAIIIIAAAggggAACCJRZgYOb9Q0kLradgF5svmzcLYGL0Wd2PEl6N+4uDarVE13a5zcza2LxtmUywwQydHaBn3J7v6ujnhERPu4gM+tAczOs2rk2vKnA+6LOptABD0htKku3rygwtlbobIv7TIBGcygEE2TrRf71uzfK/9b8Im/NG2XNqWEb7O6DbrBVR6wblHaQTFv3q7Wfzh64+ZsHRPN7HNniYOlcr73Ur1pXtmRsE829MWfTApmw4scC51c5KcV3To+b+gwPLBVmOwDNX6HBrrsGXC89TRCmWWrjQDddfkm/P5+Z4IguUeUVwNENNJBwTKvDbbuQ6snVZLMUTBxuS5qdbpYli6a4kpXrGF6JtqPZB30RQAABBBAo6wIJ5haUeBQCFfFQZUwEEEAAAQQQQAABBBBAoJQKXNPrYplo7rr3ulisORn0UZRynckTcV6X04oyRN62t/S9InABPq/C8SIWsymGtD5CnpvxmmMPEpiJoLMRNFChd/dv3rvV0zJ8IL0I//zgf0iHum3Cm3y9P7fLqfLFsomBoIlrgx9XTxV9+C1PTfuv70CFBq80iOBamkmDXXd//2hg13quyQlJUS0JpRtqEKduldrWw69Rqbq13rbEk+7bVlzf/aQEZlTYvKhDAAEEEECgOATcP4WLY+/sAwEEEEAAAQQQQAABBBBAoFgFWtVKk8cG3RPXfd7U53K5vMe5MdvHEc0Pzrs73zWoXsAuSm6K4LjndxkmroTNwT76rMsn/R977wEg91Xd+5/tTatV79WWmyxbliUX3DBgB5tqWvIgAUL8QkiAEEL+Kf+E5BGS8F7CCy2B0EJCNQQCwYCJbWzcMO5yk1VsWb1ZbXud3Xe+59z7m9/MzkpbZuSR9nt3Z363nHPuuZ+RPTvnzP1d3C5rpKB3WjbWEbj/yvX/KJcsuDB2jfmKbzF++pqPjsrH0Rofyxpg81iJhPScsFsogZCWya//3pp3yhvPfFV+d9KeUtOY1NOVQrd5Gs3rmLYx0m2lIDNWRmm7rJMACZAACZDAqUSgojQbKoSJilPpXwnXQgIkQAIkQAIkQAIkQAIkQAKjIPCKpVdYsgKB82KWeU1z5Juv/Wf5zfN+rZhmzdb71/7WMW2+V3eKjPWA5EIGEaw+3lyF9I7Xh6D5t173WcHZFBMtOFQbyYpilWMlBgrNgd0k3379vyS3vyokM56+96x5h7z7gt84pmpz3ZSC443VDcP68e97LMkKrGsk+frq+mH22UECJEACJEACk5FAqW79xETFZPzXxDWTAAmQAAmQAAmQAAmQAAlMegK4fc9P3/KNEQ9HHgsg7GZ4nyYSfvTmf5eVs84ci+qoZY/0tI4oi/nffNZrRhwf6wB2Vfzl5R8cq1pBeQS+33rODXKzsjlz+mkFZcbTiV0ZN7/p3+0ckfHoR50rF1+ir927YnPUV5xd8t0bviCXzF8zap2RBJHgQhLnPRe8fSSRpB9niBQqS6YuLNQthQ4fn9U4o6AsOgvJo3+OrpeFBEiABEiABEhApKJEWyp4RgX/dZEACZAACZAACZAACZAACZDAJCWAYPPXXvMZeeLABrlp4w/lv5//+ahvcYNvq58362x528o3yDXLrpTKY9zff6J4+zL98s+P/tuIZoq1myI9AXYZrNL14byFLXoQ9FgLDgB/l+4sec3p10qtHlZdioI5vnz9/5V7dj4gf3P/p+xWVKOd5/Rpy3Tny6/Ka1dcO1qVYXL49/P56/5efrb9Xvn8+q/J5sNbh8mM1IF/P1ctulReedpL5dqlV9kB2iPJpvt/Xf+9fXfTjwRnYcSCA+JXzT47NnOuON/kxls+lHMLKhyGPlL5yJV/JG/94e/l2EeiqZT/vkfyhf0kQAIkQAIkMJkIVAxpOZkW/PiBp+WdP/6DxGVsm/3qqz+VtFkhARIgARIgARIgARIgARIgARIYHwGcJ3D/7odld/s+2dO5X/Z27JcXug5poL1WcLshHHA8r2m2rJu32nZOnKjg7Vef+q7840OfL7go7Kb4+Vu/K9WVpfseHnh8f8st8rNt98j+roPS1d+d+IKA++yGmbJUv9G/SBMHi5vnG5+RAueJYgkqrb3tsvHQFnnq4CZ5Rq+d/V12K6Pm2ma9TVOzvXb4DH3OzDOKcpus/CUc7Dosd+96QP/97JW9nQektafNEhDT61tkmt5Wya5aX6SM1sxZNerkRP48gxrGeGDPozrHfrls4Tpd15x8kZz24NCgyj8mPZke3QFyoTTWDL9NVI6CNjYc3Czb23bJRfMvkFkNI+/AyNdjmwRIgARIgAROJQLvu+3P5d5dD+Ys6dplV8k/vOzDOX3FaJTuL7lieEcbJEACJEACJEACJEACJEACJEACJ4wAblN09ZLLTth8o5moZ6BXd1N8ZUTR9134rpImKTDxwuZ5gnnwQMHByod6jkiTHuyMR7kUJCNwS6iJHNY9kbXglkpvPPP6iZgYlW6l3nLiJQvXjkoWQkiojUUeOriFWaluYwb7LCRAAiRAAiRAArkEmKjI5cEWCZAACZAACZAACZAACZAACZBAGRH42tPfzbltT9o1P5vi1emuE1LHLoo5jbNOyFychARIgARIgARIgATKiUCpzqjgYdrl9CrTFxIgARIgARIgARIgARIgARIggYQAbl30pce/mbTzK7+vB3iX8pZP+fOxTQIkQAIkQAIkQAKTnUCFVJQEARMVJcFKoyRAAiRAAiRAAiRAAiRAAiRAAhMl8JUnbhpxN0WLnnnwpjNP/G6Kia6J+iRAAiRAAiRAAiRAAsMJMFExnAl7SIAESIAESIAESIAESIAESIAEXmQCbX0d8pWnvjOiF+9f+65xH8Y8olEOkAAJkAAJkAAJkAAJHJMAd1QcEw8HSYAESIAESIAESIAESIAESIAETiUCX37iW3ZodaE1YTfFG84o/aHNheZmHwmQAAmQAAmQAAlMZgIVpbnzk3BHxWT+V8W1kwAJkAAJkAAJkAAJkAAJkEAZEmjtbZevP/29ET37wLobuZtiRDocIAESIAESIAESIIFSEihNpoKJilK+ZrRNAiRAAiRAAiRAAiRAAiRAAiQwZgI4QDszmCmoh90UN5xxXcExdpIACZAACZAACZAACZSWQEWJtlQwUVHa143WSYAESIAESIAESIAESIAESIAExkDgaE+rfPOZ74+o8Qfr/qdUVvCj7IiAOEACJEACJEACJEACJSRQmv0Uwls/lfA1o2kSIAESIAESIAESIAESIAESIIExEvjC498YcTfFjPpp8vozXjlGixQnARIgARIgARIgARIodwL8Gkq5v0L0jwRIgARIgARIgARIgARIgAQmCYEjupvi2xt/OOJqP3jRb3M3xYh0OEACJEACJEACJEACpSdQIaXZU8FERelfO85AAiRAAiRAAiRAAiRAAiRAAiQwCgKfX/+1EXdTzGqcIa8+/dpRWKEICZAACZAACZAACZBAqQjwjIpSkaVdEiABEiABEiABEiABEiABEiCBsiDww2dvHdGPD657t+6mKM03+EaclAMkQAIkQAIkQAIkQAJ5BErz9xh3VORhZpMESIAESIAESIAESIAESIAESODEE9jdvk+6+rsLTozdFNef9vKCY+wkARIgARIgARIgARI4cQRK9b0RJipO3GvImUiABEiABEiABEiABEiABEiABEYgMLVuyggjIh+66He4m2JEOhwgARIgARIgARIggRNHgGdUnDjWnIkESIAESIAESIAESIAESIAESOAEE2iunSI3nv/WYbMunrpArjvtZcP62UECJEACJEACJEACJHDqEOCOilPnteRKSIAESIAESIAESIAESIAESOCkJvDeC98l/+Oc10tdVa2t46rFl8pNr/uclOqbeyc1LDpPAiRAAiRAAiRAAi8CgVL9XVb9IqyFU5IACZAACZAACZAACZAACZAACZDAMAI4LPtPL32f/Mml75WhIeHtnoYRYgcJkAAJkAAJkAAJvLgEKkp0SAUTFS/u68rZSYAESIAESIAESIAESIAESIAE8gjgm3ol+gycNxObJEACJEACJEACJEACYyFQMRbhMcjy1k9jgEVREiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEpi8BEqTqmCiYvL+i+LKSYAESIAESIAESIAESIAESIAESIAESIAESIAESIAESOBFJ8BExYv+EtABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEih/AqU6o4KJivJ/7ekhCZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACbzoBHCWWCkKExWloEqbJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJHCKEagoTZ5CmKg4xf6hcDkkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkUAoC3FFRCqq0SQIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkMEoCpdlSwR0Vo8RPMRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIggeITYKKi+ExpkQRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAROOQI8o+KUe0m5IBIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARI4eQjwjIqT57WipyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRwyhFgouKUe0m5IBIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARI4eQhUlOjeTzyj4uT5N0BPSYAESIAESIAESIAESIAESIAESIAESIAESIAESIAESOCUI8BExSn3knJBJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJFB8AhXFN2kWq0tkl2ZJgARIgARIgARIgARIgARIgARIYNQE+voHpLunR3p7+6RLr909vZIZHJKhUVs4lmDaSjE+XsNeITsj9ef7Fv1J2xhJN1823c7XSY9hzvx22o/8sWgrfYV89DH2oy/qpsdRL1SibIVU6q0i6mtrpKG+Tpoa66Wutk4fNTKhW0js3y8yd26hidlHAiRAAiRAAiRQCgIluvUTExWleLFokwRIgARIgARIgARIgARIgARIYFQEkJzYsXufbNu5W/bsf0Ha2jqktaNdOrq6pT8zKEMhzh3D5aMyOkwom/AYdgCkGrYQfDae7tqxPcwW5Ic0fJ/rkYubJdNIjya9sTMuKsdGImX6seVzoStRDmkCeBClTCX4lZUdrps2A120g131yVcVbaKNWcMsFaHfLvqEq5XoV2znX4OgzlNVWSFN9fUypbFBZkxvkZnTp8uyJQtl2aIF0tI8ZXwJCyYp8oGzTQIkQAIkQAIlJZD/N1CxJmOiolgkaYcESIAESIAESIAESIAESIAESGBMBDq6uuT2ex6Qex98VHbs2i29mrSorqqS2upqqa6uygauEQtPAuNat9g4guWpIHnsw2BaFh5FMev3ALyF4HP6g1zUxVisWyUKw2BeyZENY+m+kVSj/fxxW1ccVE81yG9ex64obwkPbcQ2ps7vizrmljaSxETwM32BnaiPfmunBUI9PV/+cFofYykbWENGk0/9AwOCHTQVlVWycME8WX3u2fKql10uC+bOkcpK3qE6HynbJEACJEACJFBOBJioKKdXg76QAAmQAAmQAAmQAAmQAAmQAAlMiMDg4KD87L6H5F++/h/S390tC+fNktMXLZfp+k37xoZGqamptlsFjTQJ4u8WL88PmucE5nXQAuUI0MOSPlkgXS8hYG/diTGtJHUVD4kQBNgtWaC60QzGTFR3GqAvPpuO9qFtsi6FyVO12MLVpXJGYThK67Dbh29B1i4mFPQtjWEzei1adR+ipNuEbS0xGeLGVSGsJ/CJbg0FOcOVNRQnSNx0o2ojMvIOk4NJTDOolYy+7khItba1y74DB2Xb89vl0Sc2SHt7u9z41jeNf2dFnI9XEiABEl3LwsIAAEAASURBVCABEiCBkhKI33ko9iTcUVFsorRHAiRAAiRAAiRAAiRAAiRAAiRwXAIHDh2Wr3/vx9KuAevTF8+X05YtkUUL5svMWTOkqalJamvi2QUabNcot8XIw1POmQZJoF1lQiAdXbEkCQTtgF6FCplY6lO2mchOkA3Cx2h9MGZB+MR4rIRJNaBfoZsB3AftQ4DfRDAeZb1mMnYrJbTjmMtl8wdZPdRAALJez2/H3rQtyLh1zGfL1etQmDd4AqFQoi6a0R7q6A9tXKJYqJvtRCwli768YomKgYyeP9ItR48elSlT9HZPuqui9/md8p+33C6XrV0tF11wvu2myVNlkwRIgARIgARI4BQnwETFKf4Cc3kkQAIkQAIkQAIkQAIkQAIkUG4EEON+7MlnZPeePTJ1SqMFrKdMaZLmlikyfcY0adYAdl1dbQizq7DGv0PI3WPmetaBxc7zguYxno5Bj6NHgUAATR3AqCc7smkC64WSFh8zqVRc3gfzNFxepTyJoROEOUb0QTXcss1k+slTyl2vut04bgmb4KPPExWi4yqp1ahrM6ERdbSKtRmdKJdK2GAeG4OcjltqxIyF3mDHbHhGBpKmhUuStNCe/AJVMBrQWz916S2/0G7v6JQmfd1bmpvkyK6j8osHH5bzV56liYrGfHW2SYAESIAESIAEyoRA+m+hYrrEREUxadIWCZAACZAACZAACZAACZAACZDAcQngtk+PP/2MDA70SlVFg+iX6vW2QAMymOnTPn9kNFJeiYREUkKqwqLhwz8iewxd+y1gHluqnATivS/G100Owzlh/ThZ/u4F74c3g0Ekm2xAR9rPYBNdOqXtkAg6uCSJAMysTiB4H/vhC36ijA3YE3oxN/xCcePQzJHXbkswJGs2F1TK53BZb7kF2MoWY+KiQSPIpvz0udHvXvp80SM4EOpmJxgLXiOTgR0t9rKqXGYINLVPd6LU6ZkkT214Rjo7O/XWXw3GJusZayRAAiRAAiRAAmVDIPV3RjF9YqKimDRpiwRIgARIgARIgARIgARIgARI4LgE+np7ZefuPTKkiQokK/p7u6Wrs0OOHD4kVRq47u3ukrraWjtY2XY3aLwbYXH7XBwj/4i0o4SxGECHjA3pE3IApg8xBMmHBdzVqskEOa2bQVxicD3OYz0Vds5C+vN5DP6jD7ayBoMF7fOQPuYIMrCl0fls2ybWXujERIVffXr0puwE32LiwuZVAZcyIzBlJa4vtr0z+BI7dXqwyfoT5oJbKbuhGbRCokIFst6LJZesPQi24TUL/kJjQPu7e3rt1k9ISvTqaz/Qj4TVoBw4sF+OtrbKrJkzzZ/oHq8kQAIkQAIkQALlQyD5e6PILjFRUWSgNEcCJEACJEACJEACJEACJEACJHBsAh2dXXLkyGHbPYEkRU9Xh7S36pkUg/3Srwctt+utnxrqG6SqSr9qj+g5iga9LVCOgLoFx7PhcQvU62hMRFSGJADORIgBeOzi0DA6DMGaF7MVG8OvNh+6YwRfO+AFkgzWrU/JmRLRTQTooWK3p0rNZRr+lNi1pivaFLCug7ZC7XBLQTGsxdeKvqwVzDWE3QnBGRuBQStZ+1Ax/y1xkLUOCazJeqCsxUdhV9eLDn3CkKZX0LK2dVg9yOkQeA9akgK8c0MZcC+jt36yREVbh7TpORVdmqzo6+2RocEBPWR7UA/ZblP9QUtSwTQLCZAACZAACZBAeREIfwkU3SkmKoqOlAZJgARIgARIgARIgARIgARIgASORWBQg+oD/f2SGeiXgb5e6e7ulo72GhnK6O2ftL9H23V1dXpLKL0nVCgxCWGhbwvCayjdovYeDLeEhAbsEeRGN0QQbE+C/toZ+9GHoDk+aJvdmFywT946FvQgMKRjodv04Q50YoEsfl3GA/boqKjUwL/qWh2JjWAr6vkV4zrgv9ZlS0oJxbksYWDJD7WoQuZ38NPnQmJATalvsOqLtR6Xtyq8dCbOTpsqb8tRpWgXotFG8NDkYNP8Sa0lmQ9K0TZqdlsnLA1MbNCeMvr69PT1SWcXXvN2TVJ1yoDusBnEa6/M4vkVWQ3WSIAESIAESIAEJgMBJiomw6vMNZIACZAACZAACZAACZAACZBAORFAUBwnLmjQOpPJSH9/n/Rr8LpXd1BU48AKLX3arqyqRgzfigXItWYBdgT2EZBHADwGz13Mni0urk8IwMeAvO1wwKgNZoVjUgLdNpdF7SEXkw2eAPBovvdDB3NHn9zHYMEn9QncYPDVJ078UTkM2xpiRa/oxU4Q+JmYQr82fM5gGm0IaaflBFSmEgr6G550yCS8C71mRxMo6NdH9N88i229WoFwLMFm7IFu3PUAccyCuZP5tA5ZWDKfUIecPiFR0afJqF5NTmAnhSWsNEmBfwtI7AwMDLhwnJtXEiABEiABEiCBsiIQ/34otlNMVBSbKO2RAAmQAAmQAAmQAAmQAAmQAAkckwAC1h65hhiC5h7ERrAaAXDcHqiyUjv13IIYAMcujN5eTWhokNsi4P6UqiJ4rgFz3C7KSkwEqB0UjZxbsN92SKCBObO3GDKfXNKELcQfVE1Xn9BEAN58tqs/xbC82cDuCV0Q6hbr1zZ0cuxjwMbdWmLKBLXlChCBpnX47Z2ybRtUuSCqFfciJWFzYiq/rZPLmlPwD1Z1zObwiWweGDSbqdWibUUVwAzi1gcD+UW70FulCafaulqprqnx2zipDhgMDmbsNfbbQ8EL9wVXe33y7bFNAiRAAiRAAiRQVgSyf3EU1y0mKorLk9ZIgARIgARIgARIgARIgARIgARGS6ACgWoPmKdV7Jt6GgSPYfCMBrcPHzqihy0fkG69ZdAAbhOkyYwkyK0BcLcUrKBh+nn9YThaDuF6sxOGYNID+OgIdrziEvDN/MOcCNQjah88TW53ZP3ejVGziSv6raiu6aELiQyfNMqm54NtaMWVoGV7PDShY7tE4E+0CjMpWfjmrvguChvTJ8MelCyholo2tz7b2mAP6zO7WK9V7MnkMaCdkLDZbRyTV2qCotISE7h110w9FHv2nDlS31DvcsFi3PkBXbftM2VnYY0ESIAESIAESKBcCaT+LCiqi0xUFBUnjZEACZAACZDAiSGQ0W+D9ug3Sgc0SONhBP9Toba6ShpraybsBG458cstu+SXz+6SvoGM3aYBgYkQl7Bvt1ZqIKKhplquOGuprF0+f8Jz0gAJkAAJkMAkJqBvMDmham0kH4I1kj3QPyDbnt8mmzZt1NsF6XkGGqSHgr0zIdKt71GxWA36MAAZvUZbGPPuEGCHiClk5U3Jo+fRZPaq/dnAfLQVJkpsQxxSbjiYdz33OGuvQC1ay79GUbfsVqMMxlBHifNZIiQuzjo9reBS+mzK2URD1IMFW2MiiBG3buY0y1GhUCP7UEt0YiKnUndULFq6RBobG6Wuvk5fD9jwh7vjM0YXMV26jjYLCZAACZAACZBAGRIY6e+kCbrKRMUEAVKdBEiABEiABIpJoEcDMQdaO2X7oaPy7L7DsudIu9+neoyTfPgNLx2jhlgy4uldB+TH67dYAgQG6utrpbmlSZqbG6VB60hO4HYcXd09snfvIWnr7pWfrN9sjyk6/qrVZ8iZ82eGYMSYXaACCZAACZDAZCLgcWoLTnuAOnQoAyTMLdCudQS4ETrHbopdO3bIoiVLZNHixVJfVy9Vetg2DpK28Hf40AwrHlZ3mOm21XUQ87lMHEUL9VBgy4b0KXab/diIgrgG3dSQ+5zq0KoH/70Pzx64h/lcOR1Q2dBrgum54ny4ekIhsagV9yT4gwss6WKtahpx3qz99Bg0UALKsPboROJVmAeSccxfL+xy6dcD0g/sPyBbNKkEwfNWrQrnVEAWD33GC6BfugheeLcP2TifSIAESIAESIAEypdA7hcaiucnExXFY0lLJEACJEACJDAuAtgV8fNntsnGPQflSGf3uGxEJQQ9rl+9IjZHfb1/y065e+N22z1RrbsyzlixSFpapmgAKN7nW+MJ+u3V/QeOyKFDbdLV1ZMEkOIkHT198p0HnpZ63WXx6jVnysqFs+MQryRAAiRAAiSQS8Ci4xqZtuC0BtK1nRMw12/tYwgJCzuqQpMRnZ0dKlQp6y67XF5+9dV2W6Ga6mpLots5FtFGaguF2dQnxMVtElTQafOiz+uWWDAh78t+AA+Cpj9MzTpsOhMLskmUX22hwG7iU5DRiaOYxuu9bkPegFtYO/yAnLmGTivuXQzye8tcUWnvdVF9tknUptlG220GM244PRxmgE9qDL8uY3bQSic9tI3zKkxK51Ud/K3Q0d0tDz/0iH6hYa904TWzorerwi4YqBgPFY42UQ1SvJAACZAACZAACUxeAkxUTN7XnisnARIgARJ4kQl09vbLV+56LElO4PM6EgN1evBkfX2NHD7cPmoPcT/oa1adJhefvnDUOhDEDo5/vvVB6errFyQoLtAdEXV12VtH4aDL/QcOy44d+0dtFza/9+AGWTmOXR2jnoSCJEACJEACJz8BfeNDPNyLB7o9qK+9Frz2ELgdIq0dfXrLw9r6epkyZYq+V1XrTr8aqauptXMa4u4Ev2bD3hYLj1PoFTFyGw0iNn/IAuTLZjMErpcc7AD3VCfKm7rNYdY8AG/jPgl6kUyIiQVzAn3BQJjeZayhGmEsSUlEe9rvgf6o73NaosV8wFzA53O7mdATbIItfIGOjbgJm9Ml/bWIdVhEPZgMFTOCXrOFRAxyMfi7YbCyQpqmTpWGpinSfuSQ7tjM6FxhErskJADSbOQ+FerLlWCLBEiABEiABEjgxSMQ/4YptgdMVBSbKO2RAAmQAAmQwHEIIEHxX49slOf2HzbJKVMaZP78WTJjenOi2a/B/la9BRRus3S88rKVy+XyMxcnAY/jycfxzXrrpm//8ilrLl0yV+bNmxmHpK9vQLZv3yuH9dZT4ylnLZg1HjXqkAAJkAAJTBYCiEXrA7FzC+LnxaZtOPRZkBwBcH3gg3FHW6vs3LZd2luP+u2fNNFuQXcLxKs1u5r5VCAcVsyqXl0GMXIL+iNorz+2i1B18c1/T0TYzGbD/dHdHfrFgCH4ojsJ4jx4ySAPe5UapPdEgjbgB+bAjNpvAtaHdUAJml5MRjs9bu+BfDtwWv1y2z4f5jT7qubzh6QCDOKhhnDRZ/t16972fq2rDGbAmk0Fk2PiKGCmwryBuc1rxiCMCcxI0oMmmGAXSFdPrxw+eND8xH6L7N8y7qspwQJMQTE8+6rz3LZRPpEACZAACZAACZQTAftTowQOMVFRAqg0SQIkQAIkQAIjEXjg2d1y+1PP2Qf5Fj374fTTFkqN3iopXTZu2qFJinirhPRIbv0yTU689JxlUq1Bk7GW9ZqE+NGjmy0os/r8FTk+7NRzKnD+RAyEjMV2jQaL3vOKdTKtsX4sapQlARIgARKYtAQ8UI3lI1CNlgf6/ZrRpEFVSBwgso0Pxv26C7Cjo8OC/921Pfpehts/xeRDSCYkQfAQVLewvM+BUHgM8tutpbRtc4dgfa6GOWR+aS28N0afs0kDWI52hzRg7yX/Y7zKxGQABLCe2NYhXz3SB1r0Ce6ARZTxcU2GWHZBx0wmO6+ZQqdagg6SKm7H5zW7EEdxMV+PytqYj/izdsTexAeVQ5LG5knJRpNI8GTU3x5NVPT19rhEHMQMpqgdwGP9+oSJh02eMs4qCZAACZAACZBA2RGIfyMU27HcyEixrdMeCZAACZAACZCAEegbyMiXfv6oHGrvktraGj1Ycrneain3bRjnPjz51NbjEls8s0XeceXqcDDlccWHCTyrOzlu1iQFDspGkiIWfOPx6ae3SreeNTHWUqO3rLpObxt1wdJ5Y1WlPAmQAAmQwGQlgAB1OmCdavqACmjgG4HyJCivXZlMRm8D1Se9GhBH4Lyyqt8C8/jQbLeJgk0E+LGLAcXm0GsIlOuQFTRRR+Dfvvk/MAAh31mRip5boF7bSBQM6m2MoGPz6PsmTNksagPJgSEN1rtxPPv8ljBQJdupoV0u5wH/uEMjJiFcK9jShtmDo6jbbKlERXZ2s+mOuS6m1homMy9w4LiNmyXIoAmLyk9/TAhzaB/8Mx+x0FTxPjOZyLkIrCBpo4kKXX+vJpIGjCX09YF5oi3bjeL90LIX1uaAhegGaiwkQAIkQAIkQAJlSyD8bVJs/3IjJMW2TnskQAIkQAIkQAJyuKNbvqxJCpzdsEgPmF5Y4JDpPXqQNnYyHKs0aoLjbZefL/OnTTmW2DHH9hxtl2/94klpbKyTVeeelsjiVlOPP/GcBX+SzlFWXnLGYnn5ucvHnTgZ5TQUIwESIAESOCUJIMCNgLUHqZF4sE0BtlYEzSs1KYAgOzostO23GNIvACAYjuB5ZSbKqHwIyKO/YLEAvdvycU8uQA8amAEJBa+7RAzGI+COOQcyA+az7y7wedwzr0POCnZ5xPVol98WSufQ8egf9JJ6YODKqWddi+mkuqyas0ZVxrTaB3tIpFQpu8qqKk28+K2x0vMONxVehzAAG2bOTGoiR32GfrwdlU2GdQY5qGEct+fK6FkiScLG7Lku+iBjsvYcnrTPe9OdrJMACZAACZAACZQrAf1LoySuMVFREqw0SgIkQAIkQAJOAOdQfFMTAyhrLzzLDqz2kezzc1t3y8GDrdmOArVfOe90uWTFogIjo+9C8ODf715vCuetOj1RbNddHhue2Za0R1tpqK2WD73qsiTAMlo9ypEACZAACZCAE/AANYLUCGCHGHbuR9/YmYpkI+CNb+7brYZ0dwWuCMajVER5a4XYvdbRrTF1fQp1hMYRZPfJZUh3R1jCIH7u1gH3Dgr4DTsitL+ystrHdMhswj5+dAwf3O1HcytmH4kK3WmAeWxnhfmC5ISPuwMwFPwKV6zRRJB4wTB8VVsoeMZYfkmSC2ZcEwZqwzVg2xMiJqOdPr9etQ6ZxHfMHw1jXt1tAVnbDaI2BjX5AQljBTnTxxq9kUGiAvPqIwyHMdjSNcB+uDUW2jAAXT9r25Mj2mO6fCIBEiABEiABEihPAv7FheL7xkRF8ZnSIgmQAAmQAAkYgbs3bpe7NAHQ0FAn5+qB13ZIZ4oNggIbVaZNEwUjlRl60PY7r7xApuhtmiZabn50k34LdFAuWnd2YurAgSPy/La9SXs0FfjypotXyhK9BRULCZAACZAACYyLgMeoTTUJemsrBtLxHomCZ/smfghee0AbfZ448DMm/HZQ0DVbejV9KOs8NpWZ0yfIBLsWJHcR2wmAgHwynsyvAXet9+sODnStOOMsWTB3jr2n+xyYIEwEHzUSjxbyCyjQgV1cfQcG2pCBFIr76n5rM3bbmD9BtlITBJFJMgSjKOZ4qhq6Dx9tlU2bN+ktsrqlSm83iWSOs/SkidlDPiEAGdJ1OB23BV807WDzmn/mq++K8HZYl/kRJrWFhtWhy2zArlbDPMG6M4lrMAl3JY7zSgIkQAIkQAIkUJ4Ecv5eKKKLTFQUESZNkQAJkAAJkEAk8PV7n5DnXzgis2e1yGl6YHZ+QXDgCb3VUk/vyOdBXHL6Irn2/NPDR/d8C2Nr92qA5Ymd+2Xq1KbkG51bdSfHC8fZyZGeBfGF1609W85bMrcoPqVts04CJEACJDAZCXjk2mLVWkVcGz2x4L0yBsSTPq1AHqFwC7RrYyhmAmxMB2PgHlX0mbLWkCCwb/P7LKaPMcjrr82nTSQ/YsFOAljo7emR+oYGWXnWGTJv9kxLHNi3Cc1m1s+sJmohKYJ1YAKfNpq2a5SPQ0lbKxbYNys5KoleWiepQ0/XWKe3i+zWIzd27N4tra2HpamxSVMOXsDU16XtMCH8w/qdCaz5miJ/280RJ9FR7NJEQZdJg6HNjVfGfbCa6QTbqpMwt7l8pwlU3RFoBIfQxUICJEACJEACJFCeBPzNu+i+MVFRdKQ0SAIkQAIkMJkJ4JYHOI9if2uHLF40RxYsmDUMx4CeB/HIY5uH9ac7fvUlq+SseTPTXROqf+Wux0y/o6NLurt75dlnd0mXXkdbFs2cKu+6as1oxSlHAiRAAiRAAscnELdHeIQb0e1ssDwEvWHEA98ewPZ4eAxmu7zd7kkHcoLsUAx9kNZRfSAiHuUg4AVBewTkoY8khcXNVR41mzvjZ1NU6NkUB/ft0sceu71RT3eP9Ouh3tEbWHPdYDh2RIH0ILIQWH8ci5qQUR+sWD2t5N3ZZ8jBx+hzhd5isloTKvXSpEmVlllzLAeTwbka+sB5Fbj9FCzaOgFTC3I3ttKcqdymJSTQby4lzpqe6boLNg63wdAfQQTjsS+72JyayUNMH5gqxw1ts5AACZAACZAACZQXgVK9VzNRUV6vM70hARIgARI4iQn0ahDgs7c9JJ09fbLynGXS3Nw4bDVt7Z2yadOOYf3pjndedUFRb6vU1dcv2w8ekXoNXujNHuSJJ59LTzeq+lsuPndUchQiARIgARIggVERsAC2S1oCwQL3CFZjwK+ePEDDe33Ehi0YHkPaCHSjxGSD7Q6AHev2MUs6pM5GiL1R163qs6lhNMwZg+x67e/rkf1790l1Q5McPPCCPPrII9LR0W7zWkYAPpghPPsM1h+q2Qi8TeLCNlZIXgeQSAhrM7OJbVTcqD0HGaylpqZWzlt9vixdskQOHm2TbvUPyQY8KnGMhyrYyRVQtOMvfA40wc+TOb526MCm9SORo+3sGlQBOvrj08OCl3g+BVpYWdSBvknhKfhsazQr3pe1AkUWEiABEiABEiCBciTgfy8U3zMmKorPlBZJgARIgAQmIYHWrh7559se1A/gFbJmzVkaKPBDPdMotm3bJ/sPHE53Dau/VBMcxT774c6nn5Nb1j8m15x7nrQ0DU+eDHOiQEcxzsgoYJZdJEACJEACJKDvnRa5juFqJeLB8SwaBNOt22RjjBtBdNTDxgALqnvD+01JVZPgexSOBmAUdisRbE/PaeF1C8zDN5tax7HzAgdFN1TXSHtbq7S1HtFzqBqktrY22algPiPgH53KLiK3Zr7o9Oa/z5cr4C2MYP6chfqQr1cNwAa8xK6Jo3ouxZFDh2TZsmXS19srA3264yPMBUFdhfEw/6Bnu1p87SbnsznU4JbNjzmjm2E+dMBilp3X42tgbkYdqIMJfAnFEiBmK/bgmlJId7NOAiRAAiRAAiRQNgSO+3fOOD1lomKc4KhGAiRAAiRAApHA9oNH5av3PK7BCv0W4yo9UyIvONHd02u7KHp7+6PKiNerzl464th4B/75trtMNd7rerx2qEcCJEACJEACpSRgAe8wAZICg4MZO5QawfAkfm1xbusJiYOMvu9WJe+99m1+fR+u0MOnvUAW0fB0IiJ7iye8Z5tJFcbZDhbTRx+C+niEH9hCG7dM6tPbPc2ePVve/va3y9KlS6W+vt4OqrbAe/gbALdYKnVJfFSfMpmMJSp27dolO3fusjYSNH4mh/qO3QyV4IhkQfTMK0gNxLU6aOtJkPuSopKOxVtWuWKKvTOzCUw8sE1UoQBfnHN2TlD2kn01QgcvJEACJEACJEACZUfA39GL7xYTFcVnSoskQAIkQAKTiMDdG7fLXc9skxnTm2XFikXJh3Ug6NFbQD3//B5pa+8aNREEQOxwzlFrHFsQt6Pac6TVhAb03trjLW16nsXUhrrxqlOPBEiABEiABPIIaGha3/NQLMGvn3hjsBp9SRA+1NGHguA7PhzHD8h4z4Qe5JNEgdkK1mwOJC4QtA/zQd+j766rgXMf1wEtLqdGQkA+8SWYHNCkwCxNVKw6d6XMnTtX6urqchIViR9qK85jhov0FNcBc6jbTg/1qb+/X2bMmGG7O/YfPKxjmhAIt28yWX1Kn+dhCPRbDDiM3JiCG84OT78SEArrHtRBX4/zNEkb10SD3RYKVmKyAqNaVNd8ND9hyDqcrQm4/ZigCFPZCJ9IgARIgARIgATKk4D/5VB835ioKD5TWiQBEiABEpgkBL59/1Oyed8hW21lVaW0tXXKQGZQDh9us8d4MHzu9ofk9665qGiBjW49nyKWrt4+kebYGtt1/fa9ctXZy8amRGkSIAESIAESOCYBD1JnA+/ZIHcMiCfqSDIgDm4FSYfcJEC0ERMDaONDtAW+IRyLVnG7o9gVTaIdbURRE0IAPgjjgnMbkL/AjgnsYkByAHUkC+ygagT9EbwPJV2PfaO5Qm+YP0Ex3Y96TFT06W2ecHB29MN2pSDzEPyHutnFNdgKgLxD1xXyDq4T1hHngw5M2WYRsAiJCxvXQRPX/ux8SB75ZB7QwC4ZCKCYNZ3e2ykXfZjPJEACJEACJEAC5Usg/I1QbAeZqCg2UdojARIgARI45Qn0D2Tk83c8Ikc6u5O1HjzYKnhMtBzu6JbvPrhB3nJJcQ6v3rB7f+JSa/fod3YkSqFy/+ZdTFTkQ2GbBEiABEhgQgQsSI14tRYLVIeoNgLfCKjH2zdZSFvj2S4ThWPAW0PeGFD5GFC32LfZijII5kMENlNxdJjC5FrinF63Z31CogO3KXIpXGMdOzmqqqosKYDEQEwO+By5yQpYyy+Qyy9pHzAGmThfWja/H+3oQ6X6VGGZBF+T+WzKuobgP6YOS1LZUA+HmUcgnliAoP2muCkD5D6CQ1n/3FffwZH12+TwFJaLS7wVJXwI3VmBaDjY54UESIAESIAESKD8CPjfCcX3i4mK4jOlRRIgARIggVOYAL4J+E+3Pigd2J1QorJxz0F5etcLcu6i2ROeYcOuvYmNwx2dSX2slT791igOEK0KwY+x6H/3gfV60Pi9po+ARIUeWlpTWSVnL5wrn3nnm8ZiirIkQAIkQAKnHIEYmcYOCC0hco3dABa412ELtmtUOwa1TSPVjzaSGh6At9EUJXvn0THvt8B6EqnHmGnbeAy6exA/m5SAMdsJoGc8mC/oUBtIEMBULN6O/amBKHCcK/RR4hVzxXoh1ehvlMHVHgkptYflBSRYF3aBIMECOehXKjckOTL6JQzIZdej41FR7cW54AfqMFlph5CrTpgivmaQQbFp9QlXG8NuCgjn314KwrE4gtjilQRIgARIgARIoAwJFPN21enlMVGRpsE6CZAACZAACRyHwFfuXl/SJEWc/oePbpSzFsyU6nEkBqINXNv1IO9YevTwz4mU257cKtetXjFqE4c0MXLjF26SbS/47bHSitUaJEGuZ/32fXLB0nnpIdZJgARIgAQmCQGLSSdfr9eAtgayLbhtgXEExJGsqMoJkhuavGA2dLCrwnW1gYg8IuL6i14TR2Be7SMQn8jCvhl0eQvGqwBkkJhIgvNmIGXfdKzT5jGbpueJAhvOe4rJBNiM9TyRYc0ol/iRJ1Fo3LyCQ1awLn1o25BoHUmJaE+9tf7kwG3ImrjK4AfqVrwCecyJW2eh+LkUkNQ+6zGLGNEHfAh+wJB1oa17VMywj5kNG4wWVISFBEiABEiABEigrAngHb8UhYmKUlClTRIgARIggVOSwGG91dOeI20nZG046+KejdvlZSuXT2i+9DcduvXe1RMpj+jB4FedvVQa62qOa+ZLd96vO0/uKSi3Qg8eXbV4ie3OwDpZSIAESIAEJiMB/YCbBNR1/dpEAN2SFXpNhvA5WBve9mA2aGVrHg73cLkH0iFssXHYgzCUYRN6GMDVnmLd7ZsYdnKgAmEtHkiHCXRk37NSItofhKGgJSYQ8uuF2ug7Xknbi/5bwiCsBfX4gC1zNW1UEzI4T6JyyJMUrutyA3qmBUqV7nQ0G1qHPm6VFV8TjNvfE+i35JFyUyH4ElceXHFlKIRkhglEIe2OCSDs7MAuCxYSIAESIAESIIGTkMCwPzaKswa9IyULCZAACZAACZDAaAjc8fTzoxErmswvNu+0QMtEDE5raEjUceum9u7suRrJwCgr+AbkZ/Ww72MVzHHJX/5jwSRFfU2NvPGii2X10mXJLaQaavmdiWPx5BgJkAAJnNoEPFFga/TYt1c1GI6CwHlIKVjbnqCiD0tqhOh4tII+vFehDVW7erQ96Jtinq4H+X33hitaMsBse4Td5grWgiG9xFmzPYVqZqvQwBj6jmej4HhIDmAZ6fG019avHUrAmeDWTFpPbuEUhOOrAPloC332+uiOGPTFeEUcz1me2kl0javrmn4w7lOFCXOU2SABEiABEiABEig3AuHPjKK7xURF0ZHSIAmQAAmQwKlK4AcPPyJP7dhxwpaHYEtf+KbjeCe98LTFOaoH2ia2I6S7r19uuv+pHJtoIADx+Z/dJ+v+/OPS2+/fzoxCNXqbp0tXnCGvXnNhCDrFEZGWxvpsgzUSIAESIIFJRMCi17peXHOXHQPn9u173ILJAuiQ0aC4a9hzDH5n+9SUJswRaLczJaASjFsiAk2cHq2frj0JgiQFJPw8DAuyqzGM+Q8UdFz7kDvJ+oFO+w3j8EDbKhgf1pH3lB6zuVLjsR1lYjuKxP50O9YLXuEfHEex9eCqD+2zWy/BV23inAms11tDgh0WGMd5Uig4wwL6iSmQsXa0bWI2lzMNXHTYLYS2i9mc/mRmrdcs2QRRIwjzQgIkQAIkQAIkUJYE4nt+sZ1joqLYRGmPBEiABEjglCXQ0tggm/btlTs3PJ398F/i1WaS4Mz4Jlo6a3qO4hb1f6Jly75D8rV7H0/M7D3SKtd+7HPyudvvi7GHZOzsBQvkNReulYUzZiR96crclqZ0k3USIAESIIFJTUAD1SEi7kF2D4YjiJ60LZaNflQgHwLeQc8+OGsdiQkTVSkMeaA/3mrIR7wv2oadGLD3mzz5OAzoQwtOtHA/vCutH/td0udL19PjsZ7Wh2zsH0kvyqTlYj2x5UJmQr0N64btaBUpGG3jSR/ohpwlZnT9+uslKLjd2BXWr0qQT49BIkkGWcN1bIJY1QRSMqO9RmjCWOJckOSFBEiABEiABEignAn4XxPF95D3Wyg+U1okARIgARI4RQlcedZpct+mrXK4o0P+65GHLQA/0cOuj4cK33ScSGmozT1PorO312IGE7MqekD2UfmbH9wtM5qq5At33DfMxZbGRnnFuass6DNsMHTUVlcJdluwkAAJkAAJTEYC6XcihMq1IHiNiz7sA3CImqclLaatAiajA9CwWLfqYBcFzlJIf8vPdgfoGCx6YF0TGNBTJUtMQNlGfRzzQsfOT9BrnMdntNlM3nzFeNB3227LBbJzxPZ4rtF+vm7sxzW5VZMK2Y4S+GRrdB/gO34gZzskdNC/sWirc9MKFmrxsG1bP4w4gWSHRWQLe+FV0ppPhvMrrBu7YKyiEjpkvNFGHT86lx1obn5aj/XDEXSxkAAJkAAJkAAJlDcBvHuXonBHRSmo0iYJkAAJkMApSeCyM5Yn68JZDLesf0xvc9Sf9BW7UldTLXUazJ9IQSLgzHlzckw8vn1bTnu8DQRHDnUMyCtWrRIckI25ZjRNkavPWSnXrDrPAkDHsj1jSvb8jGPJcYwESIAESOAUJZD6jItqNkYdAt0hah2D8bkUYigcCQrsdYgBcQS7dUw7kLgwu9rA1YPsGMvO5H3YSeFB9GjVEx7aqQMuj0QG6tqHbq3gQOj4gA/5jzgWD47GeKzHsdgX23E831a6HWXiNd9Gdn1Ya0gemNPmekgcxHX5grLr0n6j4Twr9NZPMTnhJjThAQlVgG2/jZT16HB8QZW3VaMln9f1YT/Keb/7Cz/0kTuUVWSNBEiABEiABEigbAj4+3zx3eGOiuIzpUUSIAESIIFTlMCSvNso4fyIn2iy4oZ1F4cP5MVd+NsuO36wfzQzvuHi8+X//PD2RPS5/fvlgqXLkvZEK9Mam2Ta0iY7JHsstt6w7pyxiFOWBEiABEjglCKgQWmPkeuqCkenETyPQff0N/fsW/qqhd0Doklyj4mrcKV+Dy9E3BO98Ek6tiNC2EOAPycIby5pcB23XYRRvYQnU0N/PPsCIr19vdLX15fsQsBuhGgPV8yZbpu10Bf9iXI2QXiKOmjm+4g+6EZ9XGMSo1+/PNHT0yP4MoX9YQI5dRQ/WI6hCOvCrZ+QjFERHcA4eOAa1o6JUBIOWtchswVDeJgfniRy4z4Ok2YX+lqSOgasDStebB1m19uYjoUESIAESIAESKDcCZTmHZuJinJ/3ekfCZAACZDACSFwqKNLbntyq+D8BdyS6Iqzlsglpy+S6qrs5sMjnd3DfME3CX/w8IN2UHRtdZHeVgcz8vozZ8miGVOHzTeejhvWnicf/9EdHrgIBp7ZvVvOWbhwPOaKooPgyKzmxqLYohESIAESIIGTl4AHtT2YbquIEeyk4R+ELXiPwLr2e6A+rhk9IeCu78mQtuC3BdI90I9x6w/hcUsOWN31Qswdmi5p95fSVhjwQLsmBHQHQUbfo6FfqX8f9PX2SVdXl+2SqNa/AWKiAuPmr3kGq15iX2iO6mJryZOMfc5B2WGnhvrV19cv3d3Zv1ViYiV/XvNHF2Xrgq+g42BtzfjLB7Y13YGKj2vV7GiGw2+x5W23BUEUt4lXMzRhOdj2Lm/EZ73CCRNyuUQ3ivNKAiRAAiRAAiRQdgTweb4UpUgRlVK4RpskQAIkQAIkcGIIPLx1j9zy+BabbOrUJqnWRMWdG7bJvZt2yJsvXimnz/WDoP/sppsLOoRkxa1PPC7XX7BGqvBtzomUvm4ZuPkf5Pt9nbLgEzfJrIXLJmLNdHFOxYXLFslDW3cktjbu3S0r5s170c6IeMWq0xJfWCEBEiABEpikBCxI7mtHvBoPhLC9Hq8pNiGmbWKhG7L+WVnlsc1Bz3ZCQB0BcA/Q+wdpl8vWY6g8G8SPIXLV0/dy7FKwIHqYB8H8gQxu94TwvdrRWyL1amLgyNGjUlNTM0KSAnIp/60aO9KriH0uC0+sBwszGJgSPa4T/cKQ8dJ1I4kyMJCxXR4Z9dPWDwHsrghTmZ4rQdGXoRdgs9xMmGMI2y3i3LZWuOF8wQbFdl/APTMe/FRZpJKcqY9gEjOrOmYjXKGGFZls8E+b1ocrCwmQAAmQAAmQQPkSwDt+KQoTFaWgSpskQAIkQAInDYGfP7NN7tm4Xaa1NMlZZy3N8bu7u1du+uVT8uSOnbJxz+6csfxGr94G6sePPSqvW7suf2jU7SEkKb79YZXXQIg+f+b33yJ/9tU7pL6pedQ2RhL81DvfJJf91SeSYQQYHnjuWbnizLOSvhNVwQHkF5324u3mOFHr5DwkQAInP4F/eexrcuXii+XcWSf+/5UnP73RrMAj1Ahk+8fdELFGUFyrFivX90QLcMcAeyKbax8Bb4iYGIzF6LhWoZ8kJGA3qCKUHs2iC/3mQej0C3T9kOl+fa/v6emTvv4+aW1rs9ss2TcKo0HYcKdhzktidIR2lEtdzQdt2xJiIzWOKrp9WqwiFHUYSYfe3nBLqsyAZPR2UDYOY8E3zbGEEpipBPy2YRU2i0hW6AzGFRbwCyA480L7Izu7fVSwZuOhHr1D018/JEyCrwZW63Y1CdfyBXmdzyRAAiRAAiRAAmVLIPm7qsgeMlFRZKA0RwIkQAIkcPIQ+MHDG+XJnfs1STFFkxRLhjne0FAnay88W+rqamXh9Oly1zMbZADfTByh9OuhmvdsfEauPHvsZy8M7tkomZ99MccyPsB/7B0vlz/5yq3SOHV6zthYGrsOH5U3fuJfh6ns12+B7jp8SG8xNXPYWCk7rlu9QneeMBpRSsa0TQIkMHECD+97XP5l/Vft8boVvyJvOfu1ct7ssydumBYSAohT6y/i17kFEfNQcr6xp90mC72gZDZS+tC0nRXQj2ZMLyWEqo3ZgPqAho/jGTsl0eOBex/DrZ169FZPO3ft1NsrdUlVdY3Z8J0IKpwq0EiKqbuNxB+bX/vCGtAfq6YXMwba8PWHAL+1E8vB43RbDVuCQRMWOOi7s1MTKkdlysyZdh4FbHnSAGvzZAO0K5G5CAux/pQzxhnu68OCEobJFmATmz2r+ZMnMFJJCKxNh6w/yoXX133RUWtHHUzGQgIkQAIkQAIkUN4ESvN+zURFeb/q9I4ESIAESKBEBL545yOy72iHWZ83f+RAfaUG1M8/73TpfrDXzqH44SMPDwsMpF08oN+w3LR3j5w1f0G6+5j1wWcflMwvv1NQBh/iv/5nvy43fvIHUlVTW1DmWJ1dGlR54ye+LH16O4hC5cHnnhMchj2lvr7QcNH7mjX5s2bZ/KLbpUESIAESKDaBdfNWa3LiNXLzs7fJD5+91R5r5q6S65a/TK5e8hKZ2zS72FNOTnsW+PZgNgBYYFyvHqvHN/0RwEaH/UIkeR/OxtODERvzAHyF3b7IZS1AH7Qs8G9B+TiX9iCYribcXkxSeFAfg/goXlNbawmMpzc8LXVar69r0FtF+sdpi7PDMS0I5ltAX+sIzuPXgv82pk92n6WwmLgAm9/ngU4FEgdxzGYP64MjZtLtasuKj5qmSWd05wd2VXRromLewgUycwH+JnHlCnxRIDgc/YxGoh3MERMXnkzAjpLgn5mBj+DjZoETVXugjooVb0DWtIOgz5tNlETRoMQLCZAACZAACZBAmRPAnwOlKExUlIIqbZIACZAACZQtAeyI+PRP75fO3oHEx41666dV5y6XpqaGpC+/Mnv2NHnhhaNyw7qL9DyL9dKjt1IYqTy1c6cs0m8vNtXWjSQS+odk4MHvy9Cm+44pVz3QLd/7i7fKWz72H3bf7GMKpwbbenrlo/95px4OXjNiogIBiFuffEJes+ZClSvtnwV1NdXy+6+8JOUhqyRAAiRQ3gT+/CUfkN84902WrLhl653y2P6n7PGxX35Gzp+zUi7SZMYlC9bIxfPXlPdCytS75ENuUomOJpHu0OHJAzQQ3vaSvSIwngS/tZG+HZEF1DU54EkDCOK+R65rMXeMWFND6ZbAwDUkKTCRD9oZFC0tLVKt72Wtba3SVtFuctF1M6GylggwPbeO3Rko7p9WIAP7qOpP1Ldx7UQfDuXWi4rqUyJgCt6vfW5dr5CzRAAmwa/a1vXijI3a+jppVp/9kG8dUzkT0mcUHMKNpMig/vjS3TfYMbetUyeArF9CPwSsN/TDrhasza4YDgreY0keH8JuD50Rc4exaNzbUQ/SLCRAAiRAAiRAAuVIIPm7psjOlTYiUWRnaY4ESIAESIAEJkrgpX/9GU1S9EpTXZ2cs2ChLJ3t34h96unnZb7urFiyeG7BKWpCEB8f9q8973z5yfrHJKMfskcq/71+vbzhoouzgYl8Qf0wP/Czz8vQXj/EO3843cZtkrrbjsj3Pvzr8qa/+YYFFdLjhepHOnvk8z97WKY2NMgrz18tB9vb5f4tmzVhkU3QRD0EQn6k52v8iq6rVDsrcMj4u1++1oJHcV5eSYAESOBkILB06iJ534Xvkt9Z/Rtyx4775I7t+tDrEwc22OPLT3xLFjbPs2TFJZqwuHTBhTKtvuVkWFoZ+IigNBIFHpy24LZGunGOErqyD5y9gFEE+FXAouF4cl0L/AcbyY4BPUvB9WHIl+ofqsNcGETg3oY9wB42YeRwMR2VQWB96tRmOeecldKu76kZPf/BbjHlboQpYNuTHJaKQEIi+hV3Sai8qdi8YSmYMdjB1ZINqueJCm0FHfzVEXIpLq4DUMPtnmwpkFO78LmqqkoamppkavNUSGgxycSf2A4AIiJtmgHTwPw+Q/AFNnxCEzNdSOiktszoc6IX5sWg/trrmsykOqhDx2Zza0kj9PFCAiRAAiRAAiRQfgTCXyBFd4yJiqIjpUESIAESIIFyJtDV12fuIVnx8PNb5fEd2+VVa9ZIdWWV7N17SA4cOCLr1g6/B/n+A4eTZWHnwWvWrJX/euShpC+/gg/d927eJFeeNdwWPpT3f/NP9BN74dsx5duK7c7D++WHH71RXv+XX4ldBa9IoPzTrQ/kjM1qbpbXXrhWNuzaJc8UOBgcwYj/fuJxueKss2Ruy7Qc3Yk2ENP4o9dcLrVV+BYrCwmQAAmcnARqqmrklcuvtsfu9r1y984H5N7dD8p9ux6S3e375Pvtt8j3N98iU2qb5CUL1spLFq6TyxaulXlNc07OBZ9gry0oHyPWOvcQEg34QZDb2ho0xxsKHtqF/uyYSXiw3nZPoB0LAunZhIGZUxuxD20L8luE3OUQULe51ET0C15AZ9q06Rb893MssHNB/YBPsZig6ul7sX2I1zHriv3mfPh4b3p4wlrcgPkSGlHfDGA4PY+JY23otrSIj6sd3KYJjUp934XPNqU/eVtHdUarZ+c1Q75e9R2G7UevUQY6+IVNzBBc1gr6zaJ5lZvwwdp8LriimzeMl/kFG+hLLME42iwkQAIkQAIkQALlTMD/Eii+h0xUFJ8pLZIACZAACZQxgWr9Zj8OvY4F9f96+GG5YOkyOX3uXP2G5KA8/MhGOf20hfrNySbp01s8bd26x/qjDq7V+uH/wmXL5dFtz6e7c+oHWlvlBT2zYvbU+G1G0R0OddL5nY9I/yiTFC2NuedSHN27XW75+O/L9X/06Zy5YmN/a4d88c5HY3PYdeWiRbJszmy5/cknczhEwXs3bZI5U1vkkhUrinIrqJbGenn3y9YySREB80oCJHBKEFjYPF/euvIGexztbZOf7/iFPu63a0dfp9y27W57VFdWa8JirVy+8CJ5+dLLZU7jrFNi/cVbROGotAW0MQki4UEkBrY9po0BL0nQHDFulY0JjErdUYDdBZD0QHkwBxnr84C7W0GPy0X7Q6nsgwfeY7LDb5dUCeNaqir9mk1uwGENzqduMWUSFu3Hx3ptIZGgF0h63W2gBwkaW1OEYIsykzrsAf+gCW0rkM9JBjgIHVO76ryNwydIY15MDBfMJ7em+Rbzx2Uh6OPGU+umYxIh8eDSQQ6XbPIC5sNsNjeUB8MOF9SRxPECJ0KVFxIgARIgARIggZOGgP9dUHx3+dXG4jOlRRIgARIggTIm8K6XFj4jYf32bfIL3QGBgmTF5i07LWHxxBPPSUdHd8EVLZ8zR1oaG23sFeeeKR+47mp5/drzpKa6KpG/L9hEx2xNfLzvVy6W3/27Lybjx6tMbxp+zsWB556SWz/5oWGqRzq75cs/fzQJPAwTCB2NenbG9ReskRoN4hQqB/Te2z/WW0E9+Nyzx7VVSD/2rV2+QN537cVSX8vvRUQmvJIACZx6BKbVTZUbzrhOPvmKj8iP3vzv8kcX/65cNP8CW+jA4IDcozsv/vcv/0ne8J83yofv+Xu7ddSpR2G8K/Iodc638kLw3C16UBx1yCAAHkPgXg+3Ewrf2PdcgMpZksCU7H0MwXa7dZReLThv0+IpRslDwFyb+OCdTRT4OOaKQX3M4cF7t2W2EeUPBbeIws5GBOpNDjZtzKy4VLABnyCftZ2147rBhmpl7Xlf6AlzxLlwdf+wBsyc1rPcinZHFjpoRdMfLhn88d7snOY/ZHU8rglXWLe+oBDMuc1Uw31xofRazYb6qXs/fLBUUY/gHy8kQAIkQAIkQALFImB/HRTLWGKHkYMEBSskQAIkQAKTgcDvXXuFfOnO++1Dev569x49Kj/WsyeuX33BqM9SuOrsc+S61afJ5WcuT8x95M3XW/2Tt9ylB1VvlGm6q+CyMxcLAvco0+ctkt/6yOfkX//qd619rCe/fcNwib2bHpN7/+1/yxW/+ac2eKCt086kGC5ZuAdJiut0nTc/+khBAQQxdh46ZA+c53Hh8uWalGmSuhEO3MbOFJx/gT9XlsyaLm+/YrWed5G7G6TgRJO08xMPfVE2HNps/84qNaBmDw3UJHUN1mTrsf84fYn+ceTifHZNyR5Dv2q0/piNlM1krlH2IVyV6BRe9yT9J8NlnyQEFjUv0MO332iPDQc3y8933i936U6LTYefk87+LjuU++Znb5OVM8+QN531anucJEsrvpupz7cIpiMsjqJvP/awhvd4cDxG1cOASUMY/SHAjUsMfsOIyUDCjKqY7mRA1QLsKosv9tv5CokkxhOtVK9PkYypru08wBwqjpks1B90LTBvZpA0CQ7rxdMB5rHpZ0fcjonq/wPNHvS1w73RZ8yJJ3tgTVpT40OafUjWDINRzwXQY/as4g19dkvmnMr5IeIQ9Nkwbj6knYcufNAdGpDCuN23CS6pnvWhC3XYsQ4omZrNiN0iNoCxVElEw/wwyUICJEACJEACJFC+BPCZrRSFiYpSUKVNEiABEiCBsibwh69+mXz8R3cU9LFHz7C4/akn5ZpzV+k9no//5ovzKhbPnFHQ1h9c/1LBo1BZdt5FcuUNb5d7fvC1QsPW11Crt60YcVTkuQdulQq9BdWCV/62fPMXTx5DsvAQfM8vV688Q5MRVZpg2eSBBhXAeR73bNxoopUatMCB2/U1NcYH3xpt7eqy20hdd/45gh0rZ873A8rzbbOdJfCDLbdIa297toO1URPIJjIKJDX0v5jseOFEh48XklP5CemrzSTZc6y5MRbm1/k8QBcCe9qytgX90Acs6EMdz97CgPclo4VlzcBwWRhy/TBm0xSSQ1+ubKILC9GOdQbZ6JsLQsp/gmziO+wGWZsh2rI+cygZNx8wGSxFOav7nN6fN08BWbMa5jRpmHTvsnbjPBhJyaqYS1qf16HkPynZHJsYddnqiiq9Nb/+mH3RROUW2fCLT8rf3v9p+V+X/aG87sxXwplJXTx0rsT0jc/YB1b+bXx/NxyywDkEInNF5pDttQBAyOOBWzH5oPdhzGTt4okF6wqvI+bHvHhd9T9Sk7XpIB98gTz63D+0tGjbfIcdfWA3R3zlMWJ9kFA5K2re/8t3P+EldjrEfxtRKHpofqlF46By5kvKlhqDQX/oxeaDnE5oOyhgUMdhB064bxC0Toxa8SXCJ2879zCoF/TDVzy7L4GX9Wkv5sSPG7I5zS8dT3Zw2HhQsAvkdUeJ3Q7TradHWScBEiABEiABEihPAuHPhaI7NzxCUfQpaJAESIAESIAEyovAr1+2Tr5690NyoK1woLi9u1t+pLc+et3adaNy/FuaJPiT114xKtm00LXv+IBsfuQ+2b9za7o7qU9tOP6OhGd/8VN5bNcRGTz7ukRvvJULli6ST/zGGywY8bFfG5IePZ/jpvsfk/94YL3sPdpqZhFsaFM+eMyfNlV3TqyTN1x0njTV1obDO8c7++TR+8eHPs8kxQRebtznHA8WEjgVCODf8qMvPD05ExVJXBqV2Mj92GvBb32KwW+MIhiOEgPqqFuPyiGADlmXT9IB1raxqKsRdNg2Xb1iLOqaYYzFwDzsmaA/JXraC3/Mp9BpyQCtm2/BQQyZOcyh8vEMCvSZr9ppdkw+JAEwlRY3i//fYS3BkLXcJmzo/xDdZZtXv2ChdiBboe14tgYSFmEV0LAJ7f+j2u9e+fox5OygoBoYt4O5tWluwFMI4YEnXHBN9aMPA6EEDDnz27qjkF2NgGnAXByKNnglARIgARIgARIoLwL4u6kUhYmKUlClTRIgARIggbImgPfUr7/37fIrH/vsiH7iVkbYWfEK3VlxvDfhvoGM7D7SJgunZw/NHtFw3sB7P/Ud+YffeqW0Hz2UMwIfp9TX5PSN1Gje8YAM1E+V9mWXjSRSsL9XExGxrFo0X/7tPW+LTUs6NNbVym9dfYk9kgFWJkzg9m33TNjGiTaAHQD2o98U9it2BMS+7NVG0/1at30K6T61kKMbxrJ9Y53DZrD/TqNvuGbtaauUcxRcm64h1Z/jCwjqGFapFUu6IGiHoCECibj6t4/x/XsEClN94Rv5CHRCxiRsPFc/0TH9aM/lE9uqZz3Bvumk5NP+5NoLc4X50/bS/piPmAHrinOEtuu4Pxib7OUHm2+R/3X5H05uDAhO678F/HNI/kmEfxrer1FyHbD/xpVUzr8a/U9J8N1lAABAAElEQVQJMvqfk171CePWRh8SEi5tV/xnF8YhZ/+dQtH+bUarUR4SXsyeabos/usJvyrg/52aAxCHSLgMxROqVSYzoGvQMfz/AC5FvyDrM/r/G6xtHc4jjkII/vp4WJtpRjlI6kHc+EnJmQLa+hv9DkZg0CzAKvzBD/TTvkEg0YNf5oL2GGNYsg5UDEHArePaYfL6/7uQ7LC2P9mgaaoP5m9UhCEWEiABEiABEiCBMieQff8vpqNMVBSTJm2RAAmQAAmcNATmTJ0iH//1G+SPvvGDEX3GLY0e2vqcXHz6ihFl4sAvNu+Ut1xybmyO6fr+z3xX/uHG66S/rzfRa6ob21v09M23me5YkhV3bnjadNYtXyJf/O1fS+ZmpbQEvnT9/5W9HfstMBMDSrjmBLMRuLHbCJlEjmySDDAZHddr0oda6Dd7KZmJzFFaIrQ+2QkkyZlhiRgEQ2OixdIgBRIfqWRInr6lQjT4mSRTEG6NSR4kUPQnm0gxaQu+Jn3D7Ln8se0Nyb7OA7Ll8PPy7NHnZXf7vuTlramskTNmLJczpi+XxXqWhSeiBuW0aUsTmclcseB4Et2OJBDp1lsp4YKSfCbGa+kd0EMgPN5yCSL6vz57LSHhjRAztw7vQhX/BqyoDdTs/7iqbHWbANaCTLxqVwXyJvixIR+3pETogx0f8jFPHGgdTdjHfPqAn5jVZW3Lgvb7FSMo0PV5oO6JCGvjKazTDw9Xm0iMhLtW2lSqH3I3tjYzhEmhqlfTMx+0S+3hAZtwzL1yX63PlDAc+sxrtMxc8qwV98PG0fL50IRP6atb0y5bEAZN2it8JgESIAESIAESKFsC+HOiFGVsUZBSeECbJEACJEACJPAiEbhm1ZnyxovOl/986IkRPcCB0otmzJAF0wufQxEVD7V3xeqYr/VNzfKev/+qfOYPssmCuS2NY7aDZEWmbqp0zV91XN1ndu+ysyeW6sHXX3r3/ziuPAWKR2DBlLmCBwsJkIAT8HNDUK86aZFsa90p9+x8QO7Z9YA8uHd9zjpWzzlXrll2pT3mN83JGWMjn4CFshG51ni2B87xQdg+DONqYXHVCWJR2+PcIdCvna4TPkFb8F01oWN2o5b2mQhC8jqIcW1nz7bAoPsBDdxKCTOYDU0IuAv+PKjnNcE3MwEbKuuJADeLBIInK3wMgj43zGnDzNiTtzFf9A3jPm246lw66AmzsEPDTwV3XXUSB2yjQA6JbEtChD608QsJS4pYBcIur50+Hq6w4/762RsxqeDrg23YiUZMOviOPjMVOv2CeXy9fvHEjMtCIpIN0ryQAAmQAAmQAAmUIYHkb7Ii+8ZERZGB0hwJkAAJkMDJReAv33idbHvhsDy6bdeIjt+/ZYtct/oCaaqrG1FmamP9iGOjGZi95HR5ywc/Kv/xiQ/LtMbjn00xks1ZT35PDtTUS8+sFSOJSEdPj2zYvVuWz54p3//DG0eU4wAJkAAJkMDIBLDz4patd8pP9YEERbpMr2/RxMRVcs3SK+WSBWvSQ6wPI4DItRYEzxGdjzHrEPtGlwf5g1yQtZC2BuiHKrGFIATFIYyWNqGDoDd2l1mfPUdJjOtonEvHTF47soH4MIg+01U7YUcOFOPOG7ON+VSqwnzRnqBjCQIT0HGMaT8KXPKqVuAeGvA36GmHnwlhwmoXVwPk/gUzJp+BrHbY7ZXUDGawcyXUnidPkCRxfeeodXcDmmbX7af6MYH+BjWzAws2L57MNtqYGyPBZKgnHXEwrA3CUQTXIbx+UcaU+EQCJEACJEACJHAyEGCi4mR4legjCZAACZDASUngX3/nbfLWf/p3eWb3/hH9v2fjM5asGEng0hWLRhoadf95V14v+7ZulN333zxqnUKCcx79huy/6Deld/rSYcMICNz65OMyt6VZ/uMP3jVsnB0kQAIkQALHJrCzbY/8+Lnb5Uf62NW+NxFuqWuWyxddLFcsvMiuaLMcm4DHqGPoWmVj0BoR8hA9z2C3AnYMoMsj7mF3hHXl9OM9LspgxwHC536FWDBoGhjzxICH2PXjtiYuoq6JqK4H0VVPbeHmY2ZB65nBjAzqWVZmBUF7Pb8HskPa77egUuvaNncxDoPa9gpSGlpFp1as285wwDyhH/JWtA/dEEKxCxRR9T5c8ZPBro0wUpGBniZG8KsJEr81lI+aCPTNP8jlhhrCTNod+YS5MABZ9MOIPkUbNoQuNYfdI7YrReVQkllNyXVs0TaaI+H2VCPRSWRYIQESIAESIAESKCcCuX8zFc8z7qgoHktaIgESIAESOIkJfPO975Abv/CtEXdWdPb2ys5DB2XxzFnDVnnB0nly2pzpw/rH03HtOz8oPz24XfY/O/LtqEZjd+5D/yb7Lv0d6Zs6LxFHjADnUmBnyE/++HekKn7zM5FghQRIgARIoBCBPXquzF077pf79zwid+/8ZSLC5ESCYpwVvDOFCLbW7ENvKkptIwjSx0B9HAtXD+C7jfiBOQbPTUflXNWTBpCMJiCHIL7fQglz4BfB/myAHoH5xL0wjiA85qpvaJDaunqpra2Xqqpqqayq0vfVCq3rVR9IfNhsKuuhd7RR3AMzHdZlB2yjX9vIL9ih4NqEJESQJoEfvl7XRx23TcrodaA/I5nMgCVPBvp79cyrPunVc68yGdUzI3pjNTOMJIMachNmLwybZ7EfDZtLnUxuD6WCJgt19IcfmNPfpKCOtaHX+nF+iNb8TJaspNk1uUQ111Cqm1USIAESIAESIIHJQYCJisnxOnOVJEACJEACxyGAD93YWfGX3/2J/PCRpwpKP7R167BExfWrz5B1py0oKD/ezuv+8BNy0//3BuntbBuvCdOb+8AXZM8VH5BMQ4u1n9m1S/oG+uXOD7+fSYoJkaUyCZDAZCGAWzrd9vzdctu2u6V7oCdZ9suXXi4vW3K5XLX4UuHOiQTLmCsIaCM1EAvC2BaYj/FsbVRW4uwSyHiCAHUL0gclD9hHBQ2Ke5TcVCr0K/4eLo9zxCusxW/+Q9TtY3K3hGftQzua1h4E/gcGBqSxsUFaps2QmbMXyLRZc6W5eYo0NzVIQ22Nvr9qUsAO99bzIeCLPmzWMEVwO7nEsfQ85pENBDH1wQ7FTvliuxe0jZ0UvX390t7ZI63tndJ65JAcOrBbjh45KO1tbbq7AWda+I6PuEyfU59hV398Km9bliFxxidMmKIJsTDuKQjrCtySZZlttHz1PkNkAZ+swE58vUw4yPkon0mABEiABEiABMqUQPjrpujeMVFRdKQ0SAIkQAIkcDIT+Os3v0rOWzRf/va/bhu2DHwwP9DaKnNaPPD/zisvkCWzvD5MeCId+qH9zX93k3zzg6+x+zeP1xRuO7Hw3k/Jrpd+SNqHqmXzvr1yx5+/T2r1m54sJEACJEACxybw8L7H5f23/UUidN7ss+XqJZcJkhTLW5Yk/axMjEBOaBqB6/DALYRw6yIviJAjpp2WjkFuJC5cyqPjSGjgyGhPUrhO0EdYPsgiQI8fO1wastaPK/SjPbWidQ/Me0C/r69HOjs7padvQKY0T9PdDD0yNFAtQ32aMOgXbffZGrBbwx4w4L921SlDcN4qPlHwyf0PwtanT9oMT+EKP/RHkyE1NTVSrYmc6v4BqdQdFEO6k2JQ/Tpy6Ii88MIB8x1JFbhgO0GUp/FQs1i7JzCQNMhdp/uo3TYEjlqUC5IjSP5YiSDVOPiYTJAz2Tju0nYrLEihG7I2nFRcyGdKLAVNXkiABEiABEiABMqNQCV2apagMFFRAqg0SQIkQAIkcHITeMula2TtaUvk3V/6thxs78hZzJM7d8p1M2bIu1+xVmbotydLVTKV1XLPkuvl8m0/0fDBBD60ayRg4T2fki9Nfal8/0O/Ky0TPPS7VOulXRIgARIoNwIrZ54p6+atlpWzzpBrl71UkKhgKTKBvLc3C2TrFBa/xlQaE/ckQf68CJaHgHky5MY8Pq4RdkTnQ2DcRTAeA/JWS41nHYGa2/CEBeoWiNdKpW6X6O3plWefe06TBHVyYM8uadBbQNXV1vpZED6R7QLB7Z9iosI+y6th/JjtlOvoyxb3Mbcd/LHlINDvDzSr1J9Kbff39+vtngakt1dv+aS3qtx/+LDurmiXRYsX2u4PALUVqqz5oLrGVW8dhYQHfMLB1khiaBdG8eQlVMEFcxofJJG0AT18KQIFY+nXyuRgRytmV6uWfDLpQk8Q8P5wKSTEPhIgARIgARIggTIggPf5UhQmKkpBlTZJgARIgAROegKnzZkp//2n75Fv//Ix+fubf5asp7qqQt7/ykv0nIeapK/YFdwv+9q/+6y0dWfkYNOFckPnIxOaoiLTL7/ddpcsmvbHE7JDZRIgARKYTAQaaxrkS9d/fDIt+YSvNScgjYY+0p97PQaugXkExrXYTgkT0Ns26SDOOcB5DnoyhCt6dDwJmNvZDxZUhxIe0EnNoGa1xwLpsO/F5VD3pEDoxjwa1K/WXQydHe3S2rpHdu3cIfV67tOMmTM1IdAo1XpWRa0mLWpqqv3cCvhjgXpc4CeSAjqp2sFaUWyHAyroh3iQ8eHoSxDWC/Sx9kE9uHtgAI9+GdCDvXt7uuXggRekQ3d7DGjSAX4hUYFkCbR9fkykBfPoemBLUx1oBHd0djtbIwrpNU4N/1DMB6/4zhX3yUaNv9uK4lgPfl3Dr7AB0difM5bbHRR4IQESIAESIAESKCcC9v5eAoeYqCgBVJokARIgARI4NQjgsOm3XbbWHo/v2C2Pb98t77jy4pIu7lBHp7zmH74g3Xq/aZTna2bLo3XL5MLebdYe95MmK779x2+St+gtparrSrcTZNz+UZEESIAESGBSEkBYO4TAdf0hoh1JaLTbvo1vI+HMB8hDQZ8s6J8OhFtCw21oGF4D+sFQjJpbM3aigboH7EOM3SS8H1XYssmsCjNISEyfPl1ajx6Vdt112d5WYcmJadOmJcmKCv37wRIQqp67Il0D/IdpJCtQ3AWVwy0UtKG/vssBux+0YDuGKaABe9qvjlQO6Y6NqkG7/VOfHqB99Kje7kl3UvTprafqNEkxZepMPTtjqipkPYikk7M7dCyeF2GcsZ0C4jYf5o9s0KkPMMegwYIYjsjWa5IMwi2mkDzSTi2mpU/GwrvCa6YNlXExs+CjUGAhARIgARIgARI4CQiU5k2biYqT4KWniyRAAiRAAi8+gdVLFgoepSwH2jrktR//gt7jeiBnmrsazpZ5A0dlQeZoTv9YG31d7fKDj7zLzr8Yqy7lSYAESIAESKDYBOwjrsWpPWRtsfC8SZLgugbHPYAPrSCPGoLnITKOi8X/VQRnMmCnQG6wXRV0LPZFOxZ3t50WsOWBddutofPYbGYfQftBqa6ukTlz5trOhQ69vVJ3d4906A6Lgwdf0ATGDGmob1CZaqnQ2zLhCw8oMVBv88Ig+nQe/TX7aGOXRJgsuuWrRD8EtYAF1mq7STQhkNGDvXv1XAocmn1UEyfYzTFFD/aur6+TuXPnSoOeTwH5MCUcsXa0hX7YsiSFdQaP0KcgI1uzocKBhvujMuiHb9AHQ2Oe2HExDNiPjmM+FPMfFUwH7rimSl4zNcIqCZAACZAACZBAORCIf9sU2xcmKopNlPZIgARIgARIYBwEtuw7KL/6qX/N/6yeWPpO86XygaM/TT7kJwNjrHQeOSBf//3r5Dc+/dMxalKcBEiABEiABIpLwAPSCF+HADoC31osAI6KDekTfu2BDh+PwWzI4lv8lSFDgWC+Bb9NUJ/y9GxYn/wDts6Luk2UnTvOb1dMrOPe53pTp7bYroqa6iqZMmVAD9Ae0IRFtwbgD0p9bb3U1tVasgLnVPjtqjyQH+sWmcd0ZhuOoliHV/GMabEUJARCE+vELZ8Q6M/o7Z4G9GyK3t4e6e7p0VtSVestqKZJbU2t7/BomWa3n8r67iZhGhbjD9ZuM4A9JtIn6wu7U7zLnjGYyBo/7cYVozjjwuYKMsYrjMd12lowjyWQVNAKtK3LrlZPaqyQAAmQAAmQAAmUIwH/i6z4njFRUXymtEgCJEACJEACYyLw+I698hff/olcvGKFzNPAQr8GH57ZvVuef+FAYgcf4/+p5Vr53bY7pHook/SPp5LR20Lc/Lfvllf/6Wf1thH8U2A8DKlDAiRAAiQwcQLZD7kIXmftWeJAuxDYxp4Ei9lbgNuFLKauT/gGfzxTAXFyxP0xhnC6PWsDgXRPSnh/HI9nVXjAHrrxNkhqxH5jcsL9gC/RPg7QbtH36z5NEkAPOxkQqEcCoae3W8+M6LcDtSHvc2dtYqeCuwcftY7iw+q7+qoLRi/SBViMBfe9ZWp2ayVd96Du7kDSArddqtFzM3AmhWnpLo5mTaQ0TWk2XdiAPeiZL2ERxlgHYMfn1wamBFPTgF/Q1AI/7OK2TA59xh+cdFBFbWk6D3z2Tu0Ou0rwWkHMTNv5GC5n64M4xlhIgARIgARIgAROCgLJ3wpF9pbRiSIDpTkSIAESIAESGAuBh7fukVse32JJiqhXrd/AvHD5clk4Y7rcu2lT7JaBiir5zpSL5W3t9yd9460c3vWs/Pj/vFde+/9/frwmqEcCJEACJEACxSdgUW8E6DWAPlSpOwfwTX0NgmtivRJRfC0W3EZiQB8o1o84ewisxw/PITSe9JtweIL9ELNPd2s9hMwRo9cqbHowXYP0oQ77LS0teoB1j50N0a87G6wEg9jtkEHAPvjnY4jRh8C/S+c8w7atR682tc2tIsGmBf8xpg8/EwLqwVe9YLxS/35oamzy3R6avEDfoN4eCjagpx1m2+bS9WMcdQwpjeAdqBX202YLOqirJ5rogF1rqA33IyZttGmHeZvPqucF8jq3KcU+v9oagxQvJEACJEACJEAC5UvA/q4ogXtMVJQAKk2SAAmQAAmQwGgI3Ld5h9zx9PMjis7Vb2siYfHo81mZ/VUtcnvDSrmme8OIeqMdOLxzi/zoY+/RnRWf8wDGaBUpRwIkQAIkQAJFIBDD1DCF4DsC1ckjhLIRMkeMu1Kj6biVEord+iiVqBjCgQ+hWODdQuixJ4TdVT8GwmMYHjF2i5dH0byrh+xd2mZIgu0iNXpWBc6kQFd7e5ueFdErg5qggL0h3fkY5/JwfvQBE8TZU5Ol7FqviiBPA2O2I8En17YOILGAmt3qCjJiZ2FUa2KiqalJpk2bbudk2M4LDAbbbkftBX0zifFYQj+arpIvgbmTQa0gweHphsgwLkNTSGrDEyHVelZHpR0uriphV0WU0x4WEiABEiABEiABEkgIMFGRoGCFBEiABEiABE4cgVvWb5GHn99z3AmXz54jXb19snHP7kT2ybolMjvTLqv7diZ9460c2rFZ7vryX8vV//OvxmuCeiRAAiRAAiQwLgKIe3vJ1pIeDZyjWGDdqpqo0HMYUOL5DP0arK+sxDkQWX0P42uQPdWHwLjLpILvWrVERJCLwfm4rwBB+WyyAbJqQ4WGIK9X2ENyYKrurEAgvqu7S28F1Sv9el7FwEC/3VIJOw488YIdBG4D/ifFJ9Wm+x9M+zC6oKS3dzIG1uuJC/hQqTpYO86mwK2ncDuqKXq7p3o9zBu7OQbUF9iFTZTIKFknBuKEeg1iNmXqKSoH5+FQ2pa3Ezs6ZuvUJxz0jZ0VlVW1xidZqlWCXjKrmYW3XuEzCZAACZAACZBAWROIf1cU20kmKopNlPZIgARIgARI4DgEvnHfE7L1wJHjSGWHz120SNq6OmXP0aNJ552NK2Vepk3mZlqTvvFWtj9yl9w58GF52Xs+Ol4T1CMBEiABEiCBcRCwsLbqpQLXMbIeu3QMsW3sIEBAHh+M+/v69BDpPr1Vkt7uSPv9w3JukButaALJApgd9qEaAkEtCaSHVSRuRCOJNbWb9Hm9rr7edj7UVNdqoqJPExWarNDdFUM4Q0KFbXeD6ljSImUHhhCcj26kzJoX7oOvD76j7bsTqnR3SaVUVVfb+RTgggdugQUuXtyqLc/WjttmOcsgkFzSa82eoYHh4FEiEPvcFxsFjNS4zmB28Rph50ttbY0nKqzXn+x1ULHIwzWg6bWUKKskQAIkQAIkQAJlSED3S5bEKyYqSoKVRkmABEjg/7H3JmCWZVWd744pI3LOqsyasgpqpACroBCKSQYFBAGV4YE2TxT7aTfqp3Q7AfrUVrs/e1C7VbDpdmgHvnbCph14IDJqyywzVQI1QlFUFZlZVTlnzPnWf629zjk3MiKnujfzRuTvRN5z9l57rbXX/t36KuKudfc5EIDAsQT0gfz3/v5T5Z4HDxw7eALJU699ZHnP5z5X9tk3NnUotfHHm59afmTfu8vEQ3y4tvzd9ZkPlo+95TfLk77zR9TlgAAEIAABCAycQDctHUUEz17bvEqv66XEuqfaPZb19vyFEbv906FDh8q+ySlL0o9HAUK6mSx3TTcNF+r3TJQKOUMq1Hmk205ZlTsOarMjcR3tHpi3l34/W2a+jJqCdj7EA6cjBa+/A+KIa+b4u9eq4BctKbhEYcDOXrAZsYKEChZas4oBc3P2TIyFaXuQ94xqH3Zo8rqMpVw0vJxM8pUOxeFQ9H5ISYDqBN7vjkdRSO+RHvat92zUiipelAjjKNzIvnM0bjsymhCAAAQgAAEIDCeBU/1T4mRXQaHiZEmhBwEIQAACEHgIBObsm5Vvevc/lv1HdCuG0zuec/315e2f/lSZyYd2mpvf3vKs8sP732v5gt4P/Kczw+ff/7/L5Kat5YYXfs/pmGMDAQhAAAIQOC0C+Ruse81v1+vXm99CyYoAF150Ubno4ku9UKFv7I95sl5TKnF+7FHT6ccOeJI8U+8a1szdftcko+rO0ZFFgK2B9SXKZzREO/VTrfalZ27Tc2pl3LoqKskjIWA917er1q5DO0rkQfPWMV+PG4XKic+aKY+uYbddx7Ugzdc1ySGLVGLFo/dniz0v49LLHlbG7RZVsXvCBt0+rr5LxLXTwTJO6xAXCEAAAhCAAASGh4D/7TGAcChUDAAqLiEAAQhAAAJdArPzC+VX3/4hv2d0V67bNujzum4JcTKHPtA/eufO8ukvf9nVlaz4wL97fdn3lZeUd/xyf3ZCfPptv1+mrFjxyGe+6GRCQgcCEIAABCBw2gSatLT/LrRTTWJ3k/yjtjVB4jkr0l955ZVl587Lyudvvqns3nVfmZ2esZ0E8/48iLSNDLoZ2BHnlcNbOq7fxk1MK5hlnj28x8f0LKrIJOzbsxcY/NRx2K1OdMQrNjPQGpyXLuJp2+XovGbPqNt2TrnE1KeQLC1yzmNl0qjW6UTKSw3dgXEwuf5O0XMzJuzZHTvsGVuPuu66ct62rWX60EG/HdbSOfQ+5xFuuxPlCFcIQAACEIAABIaOQP6h0efAKFT0GSjuIAABCEAAAl0Cu/YfKr/13o83Iv0+v+ii88vDH3aRf6C///595bbb2wdlN4orNDbZQzJ16AP9G7/35WXd+Fi54MqvKze+7IfKx9/633zsoZ4+8ie/bg8snSzXPPVbHqor7M8QgQ/e/Y/lc7u/UJ575TPL1dsuP0OzMg0EIACBh0og0tM6x+fd3D2gxLdJvSoQMj33Yb097+BRj7y2PGznxeVrVqg4dPBQmdWzEPQ8iLaC4L8jI+Utz9bSmPmTz67eqUa/kq27j5maPL7XImpMugWUHsTti4zA4hd5HXe5FwWCR8ar+EJFt1OqYxl0dSdbd5m+FEH8yzJDjSntZSjHnb77jH5OI5+poWGfw/VaeS5JkihS2HMzrEixYf1U2b59R7nEvlyxy96nuw7sd8tYg3mKf7622GnR9d5t1wm5QAACEIAABCAwVARGe/5K6F9oFCr6xxJPEIAABCAAgR4CX9q9t+jB2XmM2720b3jM1WXcigs6Dh48Um6/454cPqlr3vbp9S96bnn6I69qbK775u8oe++5o9z24b9tZA+l8cE3/3LZuM2SDI9+wkNxg+0ACfyfr3ykvPPOvysfvPtjZd9Mfe6JZZWufhy37hogdlxDAAIDIKCceaSnM0mtXRRVYtfMwd+/Z3eZtmc1rZucLOvtAdaT6yarnvYUmJOlmXVl3dNYw0rqqy/XTUbeOm7nHmwo9yfUAoD31dZDsVUwEACdYs6IUrLuIW07fO7w28TmAwrGhrWj0hy6T8mrb8VYm9VPndHNfMQn03r0o9n0U2fyMZ3cTzqXrs3h00hWuTTTxow1hnTRjqZE13TpKD2mGPXI7JZUus7OzpQ7brulHPRnVSyGdzOQR726x9K4u2O0IQABCEAAAhAYPgLx5YP+x0Whov9M8QgBCEAAAhAoX7xnT3nLR29uSOzYsbVcfdWlTX9mZrbc/E93Nv2Tbezev7/8X0+8obziqV9/jMnTvud15f67bisPfvX2Y8ZOXXC0vOsNry0vfO0bywVXXXfq5lgMjIAKFP/z5reWj9376Z45nnvFM4teHBCAAARWDwFLWXvmWtdIYuuqgoCS7BpSEtsT49aenZ0rR47c78vrfkCOcelFAl523UPySNo3+fnQtRlijqqtMKyZ80XWPrxZOM2hRLz8dRSbsd5GXZOvQiM5n3vQUv3IuOXPNSSXSmOX8/XKohcxS1+s3KU5zjXLZ3Xlij5zLtDXUL1k25flFrFGDefhc2jZwTPjz2G/aswfKh5LGLWHn6d+j96STuOrMlkyTBcCEIAABCAAgSEiUP+66HtEFCr6jhSHEIAABCBwrhN4z023lw/feneD4cord5YLL9jW9I/YA7U/+7nTKyZcc/H28nMvfV7jq6dhyYEXvu6N5U9/8iVlYW62Z+h0O3/zn3+0vOAnf8NvL3W6PrB76ATu2v/V8le3/q2/9hx5oHGo2zx5geLKb+SWTw0VGhCAwKohUJPSPel8+12mxHakyiNBr34eYzXxrb7spKnhJtFdO27RsUsfHZG77M6lLH+TJ69Tyr/n8K1fRaFThSoNRFMtBRVFAneurouO2jOv5UdjtaBgz2fImFzXBtSPAki1lqw2Xa52E0cz4sLwWzn0+DI9BWHbKXI+t5RBXYPcRltXU7WxiDXWlDO5nk7yb4pyocPXrb4HZ2fbVdEWXGIeDyHUpdUc0ltUHLKwa/hqhmlAAAIQgAAEIDCUBLq/zfsXIIWK/rHEEwQgAAEIQKD84T98pty1Z29D4oYbrilTk+uavr4NerpFiim7ddTPfteLmsRA47TTGF83VV75628vb/7h53akp988urhQ3vErr3Gf8s1x5ggcmD1U3vflD5S/tds7feir7XNOJsYmyrMf/rTyzVc8gx0UZ+7tYCYIQGAABDIpnen4SG6nVBMqeV2vkQb3JLpLYsAT95nEb0Q1g+5yfY42H5mkl62OHMvbIXmOPYbiXMPoiUYTZHbe/baJdbUyUe/ZdhvPuCKE1pPk6tXQ4pZMGUgKO+OCkPG7rRcKFGbrU81Or5lbth6zj0vDovQ5agw+HrYKQYcXDtIuRM3ZVRRPI4l15FnzSae6skbopr7iT//Jp+OqcdMjowMBCEAAAhCAwFAR0BcwBnFQqBgEVXxCAAIQgMA5R2BuYbH87vs/UfYcOOxr13MobnjsNc3zKCRUkeJTn771tNhstGLHj7/wqSdlOzI6Vp7/479W3vlrP+4JgpMyOp6SJRX+6Ee/tbz0F95ctlzY3r7qeCaMnT6Bv//Kh8vf3/WRouv9Rx5sHD3+osd4YeKZD3tyuXTzJY2cBgQgAIHVTkBJeE/EZ5K7uVreun4QzvFMhNfUunWblHiT+Hcenoy3VmTWZRYJeom8HQqyD9+Sd5SWQrUh+xfGdUyhycQPXetndk/Vp7wON5n7Rh7KfraTihyKo7setd1tvWoBOY1GZBP6Va+ySh/JrkaekdR1Wted2eRNTNGUfUQXJjmnL7bO0TiTmwZCK+2uJaZR7O1EMunOkZbLyXKMKwQgAAEIQAACw0Gg/Rujv/FQqOgvT7xBAAIQgMA5SGDB7qX9m+/6aDk4Hbdb2rx5Q/m6R13R8wl8ZmaufOazt50WnfGx0fKDz7nxlGwvesQN5fEv+v7yyb/63VOyW1HZMgpv+/f/srzs3/1xmdrc3sZqRX0GTonAJ+/7nBcmVJz40r72tmGTY+vK8696Vnn+ld9Unnrpqf03cEoBoAwBCEDgrBGw9LX9jlku2a2QRvxr/kqmR5K7puRrtJ4CbyLPNPjSRHvzYdoUUketSJZHajznVy/b4VgFhNaqmcz1Wt2YI3ymjgoJ2i5RQ0+xX2PWjr38dTR8DVkUyKs5crsIfEmc6Utz6l+dwSevbfdvs7g/XdsJR0xP8+sVYrXscIFJzMYl7s/k6tc4Wj1vhV4042zm0o0ZctKO//Rp2sG+jnV90IYABCAAAQhAYGgI5G/zfgdEoaLfRPEHAQhAAALnFIH99ryJ33jnR5o1bz9/S7nmmsuavhpzc/Pl0585vZ0Usn/1s28sGyYn1Dyl4zHP/65yz+c/Xu67pfehy6fkpKM8PzNd/uz1L7PbQL2jjK+b7IzQPB0CH7/vM+Wj93yyfNheN+3+Qo+La867wooTzyrfctU3lYdt3tkz9lA6i3ZPdCWBFvWjpJHaktmPriHT6EpjYZt2rr/EV9gu76tXP+Zp5lQ8ja+wX85Xs4YT6Vdfjb6vqTeuZqzjq5GJgvMRi4y1yjpjrl/5pb5ru+3y+sr8tWk4+Y93tUdahTGUZ7vGPzNImZo9ljHieqEj76mhGPNoZaHRPbtWPYVF1e6RtX4jrtAMP9b2f8vJujNV7Uatiarh0pkl1lF1W03z0fCKQT83siYiNVw3p0sf3VgbmaumZhtFuO3Mo6hiwnBfz62o9eit6lLtGy++ofzuC37VLc7FkwoASr1XJJb7jo+96nf/Ww02pmsDrmGn2E+gEWlXO1NofKRTGz96NMbDT5zjPWvfV3dhNivNm7ZNQUICxVNj9m61jwJF9d3EER58Xlu3dDSXIlN4UutGmX593MeWaCzxG951tgH9U3Gl0VlCKxfv2o2Su2hjqEG5NNi7pp20ZOcUjYi9GvqK3H/HrzXVy+KJj8i22shhNn06ThCAAAQgAAEIDDWBQf3mplAx1G87wUEAAhCAwDATuOXe+8tbPnpzE+KVV1xSLrzwvKavhnZSPJQixT97yvVl+6b1PT5PpfO8H/3V8rZfenV58Kt3nIrZyrqWfPjzn/4O21nxR2Xdhs0r6zHSEPiHuz9a/vBzf660edk3vb/smzlQDsweLDMLvQ88130+N05stNf6srC4WN52+7vLX9/2rigkGHcl7Zskeqe4oGTRSmNRBPD0/zLJtyZEGhCAAATOGgHlq+1/UD5/nNWPcPT/Nw15Ql/J7PryvtLeZqsihPswk0zuh3We2xS4xmWro0dX87hwqbyG4jFKoQaWKXef31LzHb+j3QdJV59+kan8mK7Pbf2Iu8afrqVcj8bE+3UdNRZFbJbuU9dgFIZ1ifZQ67SpVxvwlk7LzFenPfYSgYbt6JJhX0/rL/zX+SQW24avyXNeu2ZTHjPmNkBJOSAAAQhAAAIQGEYCIyNL/yDoT5QUKvrDES8QgAAEIHCOEXjvTXeUD936lWbVj7n+qrJhQ+/DpvVMitO93ZMcf9OjryjXXrK9meN0GvoD4ltf/6bypz/5kjI/O306Lo6xmT18sLz133x3ecUv/4UlQQbzB8oxk65iwYPT+4p2T5zoUFFBBQy9OCAAgbVN4FXXv7y8+BHPL1dvu3xtL/QEq1ORIRLsdtWPstWesa5ts88EdpPwNoHrdcY8ua2sd5sfX35m01HOPe2jqNA6OtaFHEqqI9rZc1HTaRou7jnVmLTBQS5qecHXlTtKQj9HshdXN6+2LokFOK/ugmMaO6shRmHuRZEYC0HK67CUU7MVWcvd9EjaTs9YN7Zq55q1uKEivP5WiLBiLn8vNW/G2Vy7K2rnowUBCEAAAhCAwHAR6P5t0c/IKFT0kya+IAABCEBgzRPQh+u/+PgXys137/K16qHZX/+4RxQlO7rHQ91JceUF55VnPOryrsvTbo9NrCsv+6U/Ln/2upd5UuC0HXUMZw8dKH/yEy8qr/iVvyyj4/w50UFzTPObL39G2bnpovLqd77Wb610jAICCEDgnCOw13ZXnetFinjTa+LaOr47ILo9/z3kzgflvQ8dPlL2Pri3HDlypCzMz5eFhQUvOnhaXrYn+tRsOjXPb8q10zNbt1Md9vi1KCPjXhVVYNFRdypUac/F9XsktZMDUaSRcPnwTWp/e8RgasSsIeyMSZxurSkuud6llpovjjSSaW8sOaKrjsa1x5MeQ+pc3IMKEyNlfHyirJtcV7Zt3VY2b9lcvGBhqjKt0NxnCMx3defjMcIZAhCAAAQgAIEhJZB/n/U7PDIL/SaKPwhAAAIQWLME9I33337vx8vuA4d9jVNT68r11111TJHi0KHpctPNp3+rpfM2ri/f/fTH9pXj1KZt5bmv+U/l3W94Xd/8zk0fLn9tD9h+0c/+rjEY65vfteZog93KSfehf88/+7PyjjveV/7GXjfvuaVZ5nMuf3r5FntY9vOu/MZGRgMCEIDAuUjAk+p14ZkG1xcE9GFYOwQP7N9fbrnlFk+nr59a74l4Jb31jIfU1zUT6600EvYxkJpdvTYJ36bqu+9AtbFLWuftm3LvguSa16++kIgi9eQtx6Ot4kYUOkKuvh3VUavb9dy1VLsepuL6OnWOjE3Jf/dtWqGSPjvKphHSXg1/1EUYu0aMRqw1YnMS0ryoUDE7O1uOTM+Uy6+4omzcuLGMTox5Uckjkb9Fs7F/TaKjuuhGRBsCEIAABCAAgeEkwK2fhvN9ISoIQAACEDhHCBywh2a/8V0ftWcHxCfpKfuW4A2PveaY1R8+/NCKFBO2Q+MHn3PjMX77Idj56BuLHrD9uXf+cT/cuY999365/NW//b7y0l/4w775XKuOzl9/Xvnu617mr/d++R/KO25/X3nvlz/QvN74id8r33DpjeWp9tJ13dipP0B9rbJjXRCAwBok0JOYtgS6sun+irVqOIsUmWbft29f2b1rV/n6Jzyh3HjjjWXLlk1l3P5f6bcWsuR45NPj3EvMvJk4NTKh7iFI3lRIahxV09P6daxVcSsZ1UA7fcXvh8asrW7Vc3vrt2Y+aIJYtkoWMWat6qdJ4stnVddFR529thS3fNd5XSNOKiY0ull1MIGXSHTrLXloFKxjAl+3zDVgf/fksy48LNc1Wa0OeTw2oOtR09WzlFSg+MLnP1/e9573lPvv31OuvOJyGx2rkWhOacekaldrF0Us7tV0OCAAAQhAAAIQGEYC8Vu8/5Gxo6L/TPEIAQhAAAJrjMBnv/K18ld2u6c8LtixrVx11c7sNtcHHthfbr3t7qZ/Oo1XP/sJlnTpvY3U6fhZyebxL/4XZfcd/1Tuu+XTK6mcsnz/175S/uZXXlNe8No3nrLtuWrwHLsdlF437/mi77DQTouvHLin/NkX/tpfF228wIsVWbjYNLHhXEXFuiEAgXOBQM1L1/x8JMubjrqLlsQeL4cPHS7zdruni3buLFddc1XZsf38MrlusoyOWRLcMtz+oblm3TM9ryS4xqIQYjClVOeTqqfMc7wznB/APYluSvJ31BL9nbAisV4T9j5ucXbHsy6gt9DDsmXYPZBc56gl9L2wkPHYNeaMyCN5HxJfgweqeHNl8mqHyRXXSIm/HVzXxM3a5NUn1yKsLT8aj0vEUNu6KH5Xd1msV9+a9HhkK0MpZVtd15VYhQp73tKhI+XQ9KzdGvLvysGDB12mqI2OFTP87BaNzyaa9FQdcoEABCAAAQhAYCgJLPlrpG8xUqjoG0ocQQACEIDAWiTw5x+9uXzhnj3N0nbu3FEedtmFTT8bX71nd7n77t3ZPa3rv7Qixfl226dBH9/yY/+lvPVnv6scvP++vk21646by/v+28+UZ//QL/XN57ng6Lodjyx6/cDjvsceuP3Z8oG7P1beecf7y9cO7S5/ccvf+Ou8qW1etHjSJY8rj7/oMeVhW44tkp0LrFgjBCCw9ghksrxZWZMhj+KC5L6rol5n52Y9i35g/75y2623lF33bSrrrFAx5oUKe2CzHNrLPzx3EunqKym+qN0BSupb4j0PV7OTdgJIbzQLCaafBY7eHQ6eqe8k9OOjunL3i/ajnq/L1TwV75n8SMrbmPtXz/zrx4IOj740X4DWsWgJfV+JOuZccepI3bbtK3A/bVApSy2FoPnkwM8ek+Ye9SKERa4dozakUS9M+JwWgxViYkdFtZMnhaaIJLJLRJcFmKPlyMxM2bN7l+26KGXObgGltbiOINWjKRylIK+uknOlkCsEIAABCEAAAsNEwL9sMYCAKFQMACouIQABCEBg9ROYnV8ov/muj5VDM5YUqcdlVqC41AoVeeiDtx6afdvtd5fDh2dSfFrX51x3Zbl466bTsj0dIz1X4i2vf3mZn50+HfNlbb7y2Q+XD7z5P5Wnv+r1y44jXJnA5nWbyrMe/g3++oHHfXd535c/WN5/1wfLR+/5VHlwem95++3v8Zc8PPaCR5fHX/wYL1qocLFp3caVHTMCAQhAYFgJWC66TVtnYlqSSHvr7EUKS6Z7Kt+S3PNz8yaz373T0/5Q7Vm7xdDExLgl1m1Hhd/6yfw0rsyXJ/kFINo51JV7wlwD2hlR59aDn72M4KKIQ5Glvdp+9CTeTWIKqaNx1+vouI2f3HF0fX2hm1L3odi7R+Mn5TWK1LOuN+NklrUw4S3FpTXZ4bsvoqggT5FoiJ0Q3rZ5ooQiZTtMqScZYU7qzL5Wf4+yuGO22lGh9+nIoUP+/umh54u2C0ZGsotwNXN68Sm6p54x63BAAAIQgAAEIDBkBHr+NuhjbBQq+ggTVxCAAAQgsDYIPGi3LPjt932iqFiRx5jdjmnb1o12r+V9Zd/+Q+WAPVB72m5r0I/jqgvPK99w7cP74eqkfUxMbSjf/jO/Xf7i51910jYno3j7h/+2jE9Mlqf83z96MuroLEPgwg07yise/WJ/3WS3hnq/FS1UuLhz312u/dndny96/cHn3lIu2LC9vOyR31pedu0Lvb2MO0QQgAAEVg+BNnfd5LGVCD9ak/FKeKu/YNe52bkyazsp5u13dX5YbooVtmJP51c7d6Z2x3+k47to3MJUMsFvtyryXRbyFUl+m9oOnUzLLiqa+Kh8y1yxSlKvnpV3GxPGSBOXJ/gzJDcyFdvVoKYKJba1o/oxiceejiwa2amrkxUJ/HA1a2vQjjhLSTKp2e2bFJdsJNKuEnfi6nFyVTvVQ9baYaJDz5/wq52yoOEC74cr0dCtnRYW9Jr3YX2pQ8ULHfKk+bPvwnpylaXxdBVoQwACEIAABCAwNAT8SyQDiIZCxQCg4hICEIAABFYvgcO2Q+K/2k6K+EjdrkMfum+6+c5W0KfWmCUiXvm0x/bJ26m52XLhZeUFP/GG8jf/+V+dmuEJtL/4f/66bNi6vTz2hd9zAk2GT0TgerstlF6vecL39eyy2HU4bke2+/D95b9/6s3lrV98uxcsftBuIcUBAQhAYPUQaJPiGfPS378p19Vvh2QKuk2RihUqUlitwg8lz0cWo6BwrNfQiUx5bXcvnkHv6kQUkTfPwkAUJyzVboq1bQpV02ThpJtrzwKKe86BWkios7mvaHejllfteoi5wrdEpqPiifvo6udYRCM9qejWS3rQePY92GoWt78yhWriMbhfU/dODFVRU6iIITmvSqlb16eY9TfTor1Ex59JYTLFHOsxgzptTp0UW49LnLcDtCAAAQhAAAIQGAICFCqG4E0gBAhAAAIQWNsE7tz9YPmfH/jsGVvkxPhY+bHnP+WMzbfcRBdec325/nmvKDe960+XGz5t2afe9vtl3cbN5VHf+JLT9oFhL4FnX/60opeOT33tJn99etfNRa8sWGiMYoUocEAAAquLQJuy9iS2d0OmD8KZ5PZv4lsO25Ph+qa+JcN1jFoy3pPgnt9uPzpL5kl9JclNXyPx4OlIhCtB7rKaOY8CgDY21F0V1S6z+T6v7RRQkcTnsxAVZe6sMGepqrD8iJmyF1fZ5Fxm7MKI37TTIMTV0C0aDrmuKCJEAcB3YZi2Yldb/vXsjvFxuzWWihU63L3pW9PrF3aVr5w7p5ZqBhJrq/2OgppNiOIVwXgxSTGknb9n1tehS9p03qUqtJGOfzfgBAEIQAACEIDAUBKov/b7Hhs7KvqOFIcQgAAEILAaCXx5z97yRx/83BkN/VVPv6FM2r21z/bxhJe+utz7hU+W+++6pa+hfPRP3+CJi0c+88V99YuzUr7+ouv9lSxUuPidz/xRee4Vz0wRVwhAAAKrgECmrRWqJbf1qbeTrPbEtm0LUCJddx7Sjgof9gGTqW82VrJo1qq+vPpVenZ4It7a+ol/dpWj6EYjFOO2ROlD89oceahAMWrJ/w2Tky7q3g4pdZa9KoyedUWBRDIPw8PR+k1PbXGwEY/XW9H25L6Nec/XU+1Nx+38Nk113EQLtuNkXjGLg+zcbxRhFiTTYVeXV38h0lgnOAlrX5HpqNbWiqCrhfMTFzF3Xfm1lzhqPWrnVV6sa+d6qOGvRpIjXCEAAQhAAAIQGCICo6V+CaLPMZ397EifF4Q7CEAAAhCAwKkS2Hdkprz5Hz5zqmYPSf95j7m67Dxv80Py0U/jb/vp/17+7LUvLdMH9/XTbfnIn/xG2XzBpWXno2/sq1+c9RJQ4eJNz/sPvUJ6EIAABFYFgZqUrglqLyp4tromwH24Jva1Holr8cIT4LoVkt3yKZLwsWAlwkcs6y9ZFBqUjK+7LkKlkx2XIGKIxzBEgj3CUSLdW2XOHhA9ZrsTHvOYG8rDL72k3cWhcZsn9DJt76IMJq6etV9mTSoeVB+uWNtVsw65ceNP69IaG0FthlyFCpvfihZ7HthbPv6Jj5dDBw/Y86MmPOZq5DtM1M7dKG7bxKH1qEATDD2WOkeuM/0Eu9CPsZZF6shtHMFWfq100cNMsuboNBsZDQhAAAIQgAAEhoeA/n4ZwEGhYgBQcQkBCEAAAquHwLzdNuJN7/7YGQ34kTt3lCdfc9kZnfNkJnvxz/9B+d8/911lbvrIyaiftM673/C68pwf/vflsuvP7m2uTjpgFCEAAQhA4AwSiA+6mcL2iS2x3ZsQNx37p+T8UStAxKuGqCT40s/KsrefPJQo936bMfehTM5HrUC+zZU/Y7pau6Gl1O06OztTtq6fKo9+xDXlsp0X+aSyV5FCaffmyGbGpH7Ph/lUMLmPyVLKKe8aaiyPKvcgU0djjRP3ovKCbnM1YYWJQzPz5dbbbisP3n+/3wYqZ+jGk5xbL+kzohIU31PSGGu8RqxY6iFi6ctFdUgFj0oz+GrQmYVhriSuRjIFMcwZAhCAAAQgAIEhJDCoX9cUKobwzSYkCEAAAhA4cwTe9bnb7bYI7W0dlpv5GY+6vHzDIx5W1tkzJZSsODg968WNuRPYLedr09S68vInfd1yQ2ddNrVpa/n2n/kdK1Z8d99jed+bfqa84CffUC646rq++8YhBCAAAQisbgKR726T3s2OCVuWigFZUIhv+aeep8YjCV5FXjgQCjk0u97EeZtIT70cl7raLq/tJCrXeukB3otzM+XLd9xa9uzZ5fNOH5kus3Nzdb6qmIb6BC9DP6KY0XRTnKNLYk3TvKb60n5Xnm3t+piaWl/WWaFCz6iYn5m2tVmxQLde6rBsGTiqYFW5ua8akzPq2OU8ikWMzdAaWWaKkk0WJqQie7/tk+tJYrLO7bSSSbwX2Qs9zhCAAAQgAAEIDCeB/Dui39FRqOg3UfxBAAIQgMCqIaACxSfuvOe48aqo8OhLL2h09IDKLesny0+96Bnlv77rY+WBQ6e2++AHn3OjP+SycThkjc07dpZn/cAvlvf/1s/3NTIlIN7xK68pL/3FN5ctFw7fbpK+LhZnEIAABCBwYgKR31aO2/PdMohktfoj9rtSWxskDFee7LZigd31yQ8f6iS/JUx7V+mMtR+mI9WfeilPVfXjVlHuzXPw0k39mZmZsst2J+yYmCwP7NlTPvOpT9ptlQ56vI0vM+1N4ktQE/oxoEDbRfsC67im7dld4YIqcmMTVAB1SD2VB3TVw8V1i6frH3tD2XnJzjJ35EiZPnTINZt1WCzyFGtSEUjrq75tzPXMm70DbleNm7bG3b7q+lo0qjVmbB6i6Ummtmy8HSzjYduuFDbi0RzddiOkAQEIQAACEIDAEBHgGRVD9GYQCgQgAAEIrA0Cew7Eh/eVVrNj84aeIsVSvVc+/bHljX/70aXiFfuvfNpjy/p1EyuOD8vAwx/3jPJ1z35Z+af3vbXvIf3Fz7+qvPQXrFhxEcWKvsPFIQQgAIHVRMBz457F7o3aRMpbR0I8vo1vz4P2flfRzU3gep4kj9Hoh4/Ul0xHFBOUjFcvZDkmSXzzP8eUVJcf7UaIBLse2zAyOlYmxifsmU4Hy8yhg2Xr5k1lcnKd+R51/5ojYzOBnB1z1Jx9j1yaEZEKD21bSu6lnrrxZltXveZsd8cDVkjZv/fBctllD7NnaozJvNnRIP8j0tW1xqY1Z+xar44sKtSOILj/HPP4qsx1TeCxVN8Zl9s1q3Jvzdw+l+arc2pUdr7MUOUMAQhAAAIQgMCwEhjQL2x2VAzrG05cEIAABCAwcAKf/NJ9x53jadc+/Ljj2zZM+e6K/fYw7hMdj3nYReWqC887kdrQjD/xO3643H3zx8r+r32l7zH95b/95+U7/+P/KlObt/XdNw4hAAEIQGA1EYhPuZ60rhlrpdGbRLctRfn0TJxL7kn2zhK7n5Ol5zqpVHcKhJUZ+UTaRRBNdXNu2cZuCk0o3c4kNaYUzc7Olgt2bC+vfOUry+VXXFHWr1/vt1mSj3zJWu3lDslzjV0dybK/3Lh8pTzb6uu1YNUcFSruvvvucueX77LbWi64L3umti/FY5duE1DspnA/JtVOFY0pZJVaQi98p4mvpusj15dO1bfxbrUh4/O4bSx8xy03m2jST07EFQIQgAAEIACBoSag3+eDOChUDIIqPiEAAQhAYFUQ2LXv4HHj3L5pw3HHNTg1MV5OVKiYNJ0XPeGRJ/Q1bAov/YU/LG95/cvLkf0P9DU03Zv6f/2/ryivfMM7LCHSubVEX2fBGQQgAAEIrB4CSogvjdYEktXPwRr3ZLcJ4yf03axjHDo12V7lTR7c+vrpOo2xKBzodlMxHlN7UD6B5rIR9zfiRYHzzz+/XHvtteXCiy6yHRWTZdyeDaEiQ75kkUUHtVc6pCO/K+nmepbap1xXFViyULFp06YyO79Q7tm129F5IsHjTn6ljI7qd6/WE/FqifGyc/xL7M20y6UjujK15SMcJUXrVn85JEHGLpkt3C9tu9NvR2hBAAIQgAAEIDBEBPwWnQOIh+zAAKDiEgIQgAAEVgeB8bHj/xq8c/eJE/QnKlKIxGue9+Shfi7F8d6tF//c/yijY/3/XsPC/Gx516//xPGmZgwCEIAABM4VAsvkpj3pvdz6ldiXvJsBr3pKgHsSPK+RNQ9d6XST4nJRH3iRdjlnN5GesihudAI1X1kgmJ+f990MunZf2uGgV8pUTMi2rllcyOtS/a5t1+54bfmKokf9rqOFHOsLSF4Y0drFz/i0a9duh9SNVUtFMl+1tVvdtO/IpOw+zaA53LKxc3GIXBZqYafSRh1qrGlAAAIQgAAEIDCcBAb1O/v4GZrhZEFUEIAABCAAgb4QeMTF24/r5x/vuKfzQfpY1bvu31em5+aPHehIvveZj7PnUvQ/0d+ZYqDNyU1by/N/8jcGMseeL31hIH5xCgEIQAACq4BATZRHpPq4Gx95Pclec95KXjfJ/pqP4wAAQABJREFUcdNv8uAa7yyxuxtB7bbffoyOxHwYZVup/KbtRYwl85l6zN+ZrE7s89jOBF21Q6H7Wipz3RqX9HK8Kz9eO21W0snxJgZfS8QsAgo51+nrsR0Y7REFDdfztUU/1h2LFXe9F80hgc3hOrraQOi0eh3yEjZHxiGB1pN26muOjqpEHBCAAAQgAAEIDCEB/Q4fxEGhYhBU8QkBCEAAAquCwHWXXXjcOA9Oz5a3f/qWZXVm7LYKf/zBzy47lsJnX3dlefj2rdldtdcLrnh0ecb/89N9j39hbrbvPnEIAQhAAAKrjIBnuRXz8knqJrHtGW1TrpnsSMCrb3YasyM/NNde69E+TPvn6WorXU+yy1Zt/XT8aNwPmySS6TmHa9pQ3Kpp1P3GB/WcW3ZqL/dyn3V8abur3x1Lv93xbEuvO559H/eVuUQnO2LxWqciVjnCuXXWKK30J6TOTMKmE2t1T85LQ9WfhqSnl5p+zpP15KxX6H0R1TGi54mo6T5cxAkCEIAABCAAgaElEH8T9Du81fsVz36TwB8EIAABCJxzBDZNrSuT42NFRYeVjk/ZA7c/e9eu8i++6fHlwq0b/fPze266vXzktrtXMnH55Tu2lhM9jPu4DoZs8KonPbfsuuOfyhf//q/6FtkgbinVt+BwBAEIQAACZ4RA5KdrutqS1F4w8M++NYHdZMuVx24z3Z2cuMfpdjVJnoG7qXyGRoito1s++V2fTEH7AcJXFB+kpGT90aOLxf55PJ68b/yEG0+818/omdxP224/Zbp6YcCuS8c1tvTo6mZ7qY78dMfUt39RFFiqbH3pateFKhVu50/aTj5pEDxcRzZ190XyEpPuvJL38M2YBFWHXRbFbtEais2uGopX3dmhcVeuQL3NCQIQgAAEIACBYSWgL2sM4qBQMQiq+IQABCAAgVVD4HmPvaa87ZNfPG68C/Yh/bfe9/Hj6nQHd563ubzqGY/ritZE+ymv+NdltxUrHvjKrX1Zz5YLL+uLH5xAAAIQgMAqJND5gJsfdZW8brLY3SVFFrsrsaR3CGXT2kciPpL3GlcZwg537N1I5Jsw5VE0aIsUoZ7JdF1dU+JqFBfNqTJH9whfXUlv+0TjXe1T0e3aZTu5dDD7UKynFjScg51sGbGWWLcLpF3Xrlhkl6t1H+oITVQw1LCXHbJxOw2qH5dj2i4wmzpHKFblnKhjShMCEIAABCAAgeEhsPRvoH5Fxq2f+kUSPxCAAAQgsCoJPO7yi8vGyYm+xb5xcl353jVYpEhA3/r6N5XR8f7wesFr35huuUIAAhCAwDlOQLnpTKpHrjsT3XHVd+67OW91Mp+dxYRMqCfKlKvfk/jPiUwunXxJT3PkPLLRHL4bwOV1xC85e/iw4eE6MjyLteGQC2tkVeD90HNdfwPa5aS9X91vMJOGCLU21ZGbmmLVDaCysV0qPlbn1Xg2XdcdugYnCEAAAhCAAASGlwCFiuF9b4gMAhCAAARWOYEff+E3lH5sXRyzWyj82AueUsbH1u73AEbHxsp3/sc/Lw/ltk2yffG/+b0yMbVhlf+XQ/gQgAAEINAPAvml+sxVu08lsPVSUcG+ta8fy3Q300UuPfr+YbmOKWmeifWaKW9sspCR84SuhkOyaDsoJVNPLx/XcMxustCLs0fUzBW+Ym61u0eOLZV1+2p37dKmK1uqv9TGx+vUGYHbZ6fuQollxG6THIrVyIOtzhcYI7GUWHH4D3myWNQtnaoT+ahNV9Wp21e7XU+w8rnsPU5kGWLjgAYEIAABCEAAAsNHoPOnQT+DW7uZlH5SwhcEIAABCKx5Aq9+9hMeUrFizO75/MPPfVLvNzbXKLXJjVvKc//VL9vqTv2vE+3GeOkvvrlsu+SKNUqHZUEAAhCAwOkRiJR2N7G9qG/gWwbbk9ie5Zbnmgyvv4LUcz2NmGLsnMjfT9WnyfWchMyGt8ny8Nf4tO6I6fmcGuoc4bGNLsJp/XdUvRlxh68cWyrr9tXWkbJsu7AjX2k89cOP+bJ/viPEAo8CTbN8d+l6MaUXE5KY+2lOrlpjirYPiVH98YlMmHjb+Op6fCzamiPen7Rq+/LbHDWupk8DAhCAAAQgAIGhIjA6MpiSwmC8DhU6goEABCAAAQicmMAFWzaWH3ruE0+suIyGPnT/6+c/uWzdMLXM6NoUXXzt48rTX/XaU1rc+q3byyt/7f8rm7ZffEp2KEMAAhCAwBokUBPzmbLORLe+qe9J85pg14YKV/Xkdc1gm8CT3sdgab+Z3ybMq5LZRBJf/tTORL7P5pN4Qr8W4V236mnWSMxXW7nUWN2BEd3wn/N2r9qpkbs1uvJue+m4+jpWsu3Ke9oeV/s8CV+dTlqwH71x1tXXooYrarH615iIi94HF7qPtFKnjlVRXOyc06nRVZfv6lxiMdADtnUEYx/0PicIQAACEIAABIaTQP1rre/BUajoO1IcQgACEIDAaiVw/sb15adf/IyyY8vJ35LoqgvPKz/7kmfacy7WrdZln3bcVz/1+eWqJ33zSdlfdM1jynf+h7f07fkWJzUpShCAAAQgMLwEaua7N4ddE9YdYZNft5WonR+MPclvMvW9wOCmkeT25LfGbI5uWzCyr7R421c7JvWwNKCGvfyifj3SXjs0FhYW7bXgrywW6CpZt5/t1F16XW58OT/L2XXnivH5ZoeJQtZzIeSrLs/XrzXkOpOvZLm2sAuW4uQ/1o2rNQyN65tf+ZGmCfROqGWHNHVEX3OEfxdWaeo2ajHoo52xKuUCAQhAAAIQgMDwEBjUb+rx4VkikUAAAhCAAATOPoFxu4XTDz3nieXO3XvL2z91S3nw0JFlg7r2ku3lOdddVXZsPvmixrKOVrnw6d/7+vLA3beXvffcueJKrnvOd5QbX/5DK44zAAEIQAAC5zaBTJorsa3bOCnpraMncV5T3z5QPx1H8ltZcLM0J1mY8OS5u1BCPnZZdH3JR85Zp/J+6khmVu2MrmyxWWI+dRasPTMzU2ZnZ8uo/e2gMV0zjpjj5D7GZ9y+ts5Jc2ksj5xb/WxnTCpSzM3NlZnpmbIwv+Amssz1uUCnDivvdhSSlZ4JktP6sMchU0E1zuqHK1u3w5IrOyozqflhDW83AtdIsp2p04ArBCAAAQhAAAKrgMDIgG79RKFiFbz5hAgBCEAAAmeewJUXbCs/8rwn+cRz9uF/177DZXLdWNmx6dwuTCx9J0ZGx8qLf+5/lL/8xX9e9t13V8/wiCVsnvpdP1Ye8bRv7ZHTgQAEIAABCHQJdNPYkqufiXglxv2oSn5pDWoePARNYt+6md6XLBPiI/6k5hgJWTpqd17kvHFVuaLGUv24vDqfPnKkHDx4sMzPz5fx8fGmUKF4uwWGbtvXcrInBVkrBpo3CgkeUaxJMZkvFSu8UGFFk0OHD/vzOGTmy5WPeqjlsdhY6zr4KOHQyrRA1zb9GPf5R2UYI+5SkygGbdjQ2JIjZ+6EYOrVn/sPA5O4U+3IONbLEqd0IQABCEAAAhA46wRO+2+bE0ROoeIEgBiGAAQgAAEITIyNlUvP3wyI4xB4yc//QTn0wK7ypU/+XZk5uL9s23llueqJz24SLMcxZQgCEIAABM51AjX53U1oJ5Lmm/0uyNR3FBBanbbQ0JXpQ7S+8R8+elPg7qlOGAWAsIy2jdYkvGfvbSjl2knheXVL7B+ZmS1H9+4tE+MTZXTMdlPoR9PYKWarc9Z+Rp8x9l67o9VO8blD0/S2rrLy1H7T1m2ovFhhBZMZi2nB+lIfs+LBon3ZIj27VzupX2doYvUCjFw3R7VqFG3ARFFUaIXiUgeWWjZ9jWvjRW+xRcPu0C9xquvqWNKEAAQgAAEIQGD4CLR/CfQ3NgoV/eWJNwhAAAIQgMA5S2Dj+ReW6775O8/Z9bNwCEAAAhA4HQLxUVfnpR96ldjOWyr1eo5bD6WsTbJXX3aRLOSSReJe17xVgUodVnLwOZXU7z00GsLq0XYMjNrOiTm71dOM3V5puuy3bQS66nZPOqKeEHO1vsK66S8dbgbU6AaxxK7R6+r0msSIeB0tM7azYtYKFuuOLvjtqUZVKGkKHjGX65tMjDRbFGKCmzSk7gxMUWP6aTnLOmIMdt2xZkRu7DBd+YhW9SGZfMQlWlXBOTQS1+EEAQhAAAIQgMBwEcivZPQ7KgoV/SaKPwhAAAIQgAAEIAABCEAAAhA4eQKWxfa0t52Uou4WDjI5nolz10udVFYiXQop92sUJ1RHCH/qy0D3KdJE1lbXzULXetVPWwg56n6PlnHbXXnk0KFy7z33lpkj02XMbvUUM0ZRQ21Zqaejce29zqlOHbYd+ZJma9+2lqg03UbDfUckRxftId+HD5XdDz5YxjdsaPikkbMwQ2knu0CookNoNUkIE1SRtK2tlbay7lpc6nGYqowaQxuRYxsLv9XK++62VbUuBwQgAAEIQAACw0sg/3bod4QUKvpNFH8QgAAEIAABCEAAAhCAAAQgcGICnsi2k/9Tx/PYkQSPrie1leDWzgrXq/lt6UpFL4ny6jUI6+vID9GyV1uvJkFf/Xg/tO0cyfTQcwcmikAm1q0rc/aQ6ptuuqlMTU6Wqan19lyKMbf05LzpSTXn9AdSayV17rzKwGO101FP0kcg8pHrcKd2ykdquL7s3H/Yu44G7MhxPSfiqDkVq9mZeH7Glm3byqVbt9a4NK4Yi+0EiXmt5zG6IzGyhsaTS7Ql9H8ub2SpK+PqbsTmX7AiiSaSng6tLefVNX1LoapIiQMCEIAABCAAgVVCoPMbvK8RU6joK06cQQACEIAABCAAAQhAAAIQgMBJE7BMtRLXTQJbDT9qcjsT6o08c9qhl0lzS7fbj4oRZmy6TcEgvVVZFivkLnQyUa/5cm53IUdNIl23ftqwcUOZvXeu7N23r4z5Mym0P8NnNVtryVzJd3euiT0YDziGIkoz8cNjVczWa2eOsY5R6NpZz6LoWZcZ+fqrRjz4OvwtWjwT6ybKJZs2+YO+ZSuUHlpMHPH6zB6dxSGG8hm3s5LbmC/YaHdJ9n1KO8mfL0C2auulQ4uyQ8WYpqNmoyDbLvNq4DqcIAABCEAAAhAYZgI9f4/0MVAKFX2EiSsIQAACEIAABCAAAQhAAAIQODUCNW/uOezMc7ceUlKfBWEDmdJWYl5GniBvDbylJLg+RDfFBzOKdibbox9zy2PM09qYzG3q1XYpbNy4qVx99dXl0KHDZcEeXG0zy4nZxjzqe5lA7tyfN2rhQmUAiWOesJLAjgQQQ74+9x2Dluw3v5bx90KCdFNP7q3vcq8IhFepjNqtqjasX182b9ka67Z5PTobdHPvm7mbiIlP5iftyBAHyXwnSx1sCgvW96KHaR/1p2QrDv3zSNy28Sb/vuZckSZyYfiuih5TJ4bGngYEIAABCEAAAkNHQL/zB3FQqBgEVXxCAAIQgAAEIAABCEAAAhCAwMoEOgn7pUqetK4fgL240CS7I+fdFB/MUG4yqZ6FCPnzpHmdI/xH4j2S7SHRWSqSKRcfRYociyhSx7RcZ4sl/jdv3mJJdg9KYnlxH2khP2EXkvwor57aqde2TNoKfZ5OV959PeGn48Hm8USBi8K7bv+Uhx70LWmsr7VLLM6tJ542jOTkc8vA54px3z1S5LtGmWPVsWxjpRFJ6rnchtQPjYg1zHwgDDhDAAIQgAAEIDDUBPJvnX4HSaGi30TxBwEIQAACEIAABCAAAQhAAAInR0AZ6zwyl66ctWevVRyIb+mnSl5lJhUbVsv+tUlvyeI2SaldVWqCXIb5AVt+VD2I+WqnlhN8t4DZeAyuWPXcPnSVcrf9BdaRXtePYouYNJ/M1YvbKlVnLpEfHeFJVzkKjzHixYhomoV7yYGqHrskYj7TaKat66yCjEc+tN42qhq36aVOjntfIeX81ZfbeqgasV5dUvisys0l4lO3sav6kqVvtTkgAAEIQAACEBh+AvH3SP/jpFDRf6Z4hAAEIAABCEAAAhCAAAQgAIHjEfCEt5L8nmtfotlmsTMBLsVWGuoa84S6XW3zQE2yp0cTao56S6QsRPi0mWyXw1SvDdeTTEOml3OEwM6aUxcN1HGXaCpX1tUe/K2jzuNN8x9Jejubrqfuo2HD4UvPtmh8V/0sHEgnaUVc1rddHZ4okJG8aH47XGb3dKqjjdwHNar7PXkMYaMw27Uqdhfo7IfG3bPMdBsqk8Zc3qpa0sn5XUFKzZgPyd5+tGzZZ7xSkicOCEAAAhCAAARWB4H275P+xkuhor888QYBCEAAAhCAAAQgAAEIQAACp0NAeW1lrGuCX3nu6Np5hUx2fFCOwUh8WyI9Mu/KnNvhJ3cZyXG5jwKERttkus8U+hmH9aTrz2mQroLIYoD7CN8xjRLv0tfLqiauF8UJ+fCYTOYxml5N9/uzJ2QkH0rij9qtmyLOug5fuM/gLfn3cel7J/reVog6tBQ76RIxuUBCOyLOaFUfpunhatSnsgdvu2Zo6SHaFWMzHpOYL81iBRM38wnlo/Zl7kfEn71wkuvziJohGhCAAAQgAAEIDD+B7l8W/YyWQkU/aeILAhCAAAQgAAEIQAACEIAABE5MoGbGa17c9Zt0to9FTylvJb79mRAmUs48lDWusdhNIZ1MnmcCf9F3NqhIECaSexK90Q25zmEfPlJPOXhPuZtdM60apiZNHelbLrPdOxCW2v3gGygUg+z8pNgiJl9Itt1vM6O709o8bPVMT7svoln91/7oMj5iSIWBtvyQwca63ZWm8HjUc3knhK6eTSENe1We1h4132mTcUaE0pW29cyu9aPJYszltelus80VAhCAAAQgAIGhJKDf+4M4KFQMgio+IQABCEAAAhCAAAQgAAEIQGBlApHtruOZdFciO14xoO/r12S4Z7+jMNE4lZnJIzGupL8ENfGvls8RfTUjke6N6iL0baT2dZG/+La/rvIdtqHimimUttp5WNMsOsn+tK069VZPWpMqFe7fbJWvz4KFz233sZIsXLf+NI1PXeP1cV+zRupcGuuEJLli0r/RUfmSxA7X0cn42E+w8hHvS8GLD1LNNXZAhHn4i9gXa7zhQ+fGpytLYo2Y0ndhyKDx7QONopQ5IAABCEAAAhAYWgL5B0V/A6RQ0V+eeIMABCAAAQhAAAIQgAAEIACBUyJgH3abpHVNVmfOumbWez4OZ+Lc5nA160dSPLRyOEzb5HwmxatWzZnXZLkJe4sisQDppp3m8r7OGa+uUvXJIo7Ul1jbKKIw4b0Q5TMsNGw7LeQuk/p+NVHsvpB6W3hxPZ00bj+dukHM74H4qfHnNnKmLz6GqRmHjjuqc9vFD4/dO7rlVcwRXZ3rWqVZfTSuJKsM1FzuyGVrDv/JePVYDLUzrOWMkUEAAhCAAAQgMDQE4m+s/odDoaL/TPEIAQhAAAIQgAAEIAABCEAAAqdAoDfhnTnrbpK+ptLt0uSzra0PypHkt9S3DWTCX1rpU7KmeCDj+unaHgdRbXSN5HmELH217OT/ogDhkqqnpLt2cLhaDGjG0DedLE5IZtNUf1J0lRi3duwCsQ0Gi4seexNrOrZY9ZPx5xzyEp7dpd8KSiY5r4dighHbRVGlvUWRWKDZmUXl4J7EUw2X2Rxu3lGo8qrlJq4uI9N1fdl0joxZa9PtuOrUjUZ9O6IvPxwQgAAEIAABCAw1Af97YwARUqgYAFRcQgACEIAABCAAAQhAAAIQgMAJCCih3U1qZ1tXJcTtxx4v7U4yf607HbXFiJoYl7ortAl9OcgEvBchLDs+ardUUpL8qCXLI6EvIwnqxZxLHv6VpDd/mtBtwk7BKC5/5oQ6OuTGJ7OGXWUfc5uhGq5SZWar4oDb+HAtitg8er5EKNvVxprDuiqqyNeiFmBt82bxKZJ61LYXNExPBRDp+I4OXUxRL59DjebQOtXRBHZIr/Xqc6Tcw/NxhaJG2Eie8/o8cuMNd6xOOLazx120hUKH5HVedb1ZbdTngAAEIAABCEBg6Aj43xcDiopCxYDA4hYCEIAABCAAAQhAAAIQgAAEViBgyWtPSWeeWsluU41Et5Ln1pNOLRSEl6osuQ9bMr4mtz0tL2H6M28qNOSh4oGGdfjV/Pptl0Lkdp5ETyVFYzaRjzc/je3RsrC4UBYXVPiwMsroWGfOqubTmq1XFzShvdyFBuzl41WmrvezYGFyHb6WUMyzu4lOhOMxRWAqvcRE9uDxhQXzqdhGy+jR+rBLraXaun8/2Zwmc8u67tSJbg3cdFPe2NpQFCci1AbuEl2jLImbST/6jZeQZ1eqenFAAAIQgAAEIDC0BI75m6CPkVKo6CNMXEEAAhCAAAQgAAEIQAACEIDASRBQgtyqAJHCbvV9N4K6NWHtyXB1PXNuaW4ziKHMaNt1xJLx6mrMxTkmR5onrplYj6JF6GgsTVJPEsksje9Xt6su9dwGPWR6asO6sm5y0qYeLXOz835LI1du5lOhIuLx6XVyH9ZwQcQkoWk2sce8qStnIXFzT/SHXROTD5iaFUXGx+3j/dGFsjA/X2Zn58qCFSyk1zCV29qvXjRBDTtnzoJG2xcFcW35yI+bKnw7akcXGwhq6TcWq1VqJ4vGtF7XiaHwJTcm98N9RpMzBCAAAQhAAALDRWBEf+AM6KBQMSCwuIUABCAAAQhAAAIQgAAEIACBlQgoKR3JbE9t9ySnlSyP8TaJH+nv5bxl0l66XniwakYm1Wvu3HPgKVNivW1rKBLn7sfaPq6JakwhsZ0KVqTQboXzzttWLrz44rJh09YyMTnleto8MT42VsbG5G3JkVn+vJqCFwxc7Rhtl2rqGIkgnIc1ddMkySWVO1FZWFi0XR5qjZT52ZkyO3O4PHD/nrLrvvvi2RdWTAlfYdlTrPDCQjBwb+rnThQ3isKCCibBJ3lZAHYERxUhou/nbtsE6spVvKfWV6ypYwM+jetpDVVZVw4IQAACEIAABIaOwDJ/6fQtRgoVfUOJIwhAAAIQgAAEIAABCEAAAhA4VQLtB95Ihishni8ltzNBvpxfjUWiu1dPifBI7tc0uXyag15/bYpcLU+S16v35aQjtwy7FQXmfaeCHn697fwd5YKLLitbt24qW9ZPlcnJiTJmXzKUrZ4F4fNbp26KcF+nfEp7N1RBJQ/5t5hNMGO7J/YfnikP7Dtc9lqB4u67bm1idA6m46uXL48u+MqTYvQ41bafLndNFtTaOWUeOlXfh+TPHXhPcclSRzTVtpdsvaASY65SGbsyJwhAAAIQgAAEhp5A80ytAURKoWIAUHEJAQhAAAIQgAAEIAABCEAAAicg4PnqSGK3KfiaxDZTT8TXhHdkvE24JMfdJNk9gR7J80jgZzLeU+WejFdOPPLikuU8umr27Hs+PXrmyIsk1U7PfJiZmSm33HpreeCBB2z3wnw5uO+BsnXzprJxatKKFKO+g0GxjtuzK0asaiEbFQAieW8D8c/mjHm8UU8ZgaLTkX01PL682pjWvc52cChZMDczWw4eqYUKi+uW279YvnrP3WXSYtqydVv4MVv361UTd+B9X58mi55fFavkHnOdU/MpBn8QuOm6jvdrbOHdPbU+vatg/SHgKu4oBnPZnKMlz1FwyrW7CicIQAACEIAABIaOgP6uGdRBoWJQZPELAQhAAAIQgAAEIAABCEAAAisS0IOyTyY93SS+7XNxJrrzi/hRqDA/mVi32XJMGXGfQUl2E6ZcSfb2SI8haeaqCjmqqz8426733Xtv2bVrV7nvnnvKpo0bysaNG8vExIQn5KWnezf7tw31sG2fLAsVcmoa8U+dkzsUu/zkbgRrqvwxJv92nbfbUalYcejgwbLv4IHywP4D5fCR6fLwKy4v2+ra9eBvp+FMPIQ6t8lN1pRqVMhQX+oK1DpqOz8bc0kdV6JCfKuy27le61mj7WEd128lbpPdY58/kiNcIQABCEAAAhAYHgL+R8JAwqFQMRCsOIUABCAAAQhAAAIQgAAEIACBExJQ8lqJeCn2ZLUll8xOemZjHUuVSJibnY3nrgrXT0Vl1+NfGMsw+7Utp62NPLaHInJJZ0LJ1q9fbw+tHiu7d++250DcX9ZZgeL87dvL9vPPL+vWrfMdFHrYdhibP3eik/zp6gLv28mOpf2Q6UHjelZEWNZYfCgkauqBFXo89bw9PHvv3r1ePDliOz70MO2NmzaW9VNTwaZO4bsiurzMheoXwb8q1fU6FxUt7Ii2Il1SmPDRzqkTWgUra3egoZhf+tWvmnb4mBrxZqjFAQEIQAACEIDAkBLg1k9D+sYQFgQgAAEIQAACEIAABCAAAQicBgElpSNf3ebq5abKPHluOtoJkIWI7ixpqtsJ6fZKynYr4a2jSYibQH5S5g07uSQdeC8tpVEH7KKW1zvMh9ws2jMqVIw4//zt5cCBA34bqMNHDpej9x+13Q1jZeu2rWXKigNHLWbdBko7Kzz26j7KDpqjc2isTulSjzkLCKGXa5CiShZHbc1a9+LiQpmdmysHbRfFrj27ywHbUTFmt5uamBgv5593XtlgOz18DZqicnBKdT55U9O7zbjNYItWN8KOAKOvtooV6c90o9Lhsqrpc7lP00svanVmc/865XO7IwhpcUAAAhCAAAQgMMwElvu7rF/xsqOiXyTxAwEIQAACEIAABCAAAQhAAAInR8CS4bHpoU1pp2GbVJdESfOaUk9VZc310qhn0228jkWSPVLifhejtKmp9KZb0+aZXNewiiLhOvzJt/u1k1894JGybds228Gw1QoEB71YsGBFgwf3PmAPtZ72HRcT6ybLxPi4Fy9GrGCxtNgSxQs51wraiGIxdW4N+VisXwEs5stu9TQ/b6+52XJkZrocPnTI+nNlw4b1XmSYWGe7PKyYMm67PSKZIJ+decxzsI/11oqEy7SLI1XjanYByaIJH92zdnXk08K7M1QTByi5Ys8Y4lq1XW4KNkn8dL1IzgEBCEAAAhCAwDARWPaLF30KkEJFn0DiBgIQgAAEIAABCEAAAhCAAAROgcCSnLS6S0RWCNCuil6foReJbyXW82gS6cqwWyY+Eu05qpx5670pQrh5+NAuBTc1E40rue4j1Uz2em3YsNGKFef5jgq7y5LFN+byw4cPu0x97WzwB2mbo7y230BUkSbmPHbFntuvQbfxKq6Iz2K0OBcWFsu87ahYXJj3mMetMCJ4uh3DVnuA9qbNW9yHr1nrsOncW7aj43HItwarSDWD2rGr2ipG6OiErPjFWzHpTldhH058ae5MHMOZzm5j+h6w/DVHKMtfNWtGaEAAAhCAAAQgMFwE2r9h+h8XhYr+M8UjBCAAAQhAAAIQgAAEIAABCJwsgUxqL6PveW7Jmwy2NVRQ0IOl7VZM9s8fNJ16TTHCs+8yjOx605UrJet1yyK1zU9m8V1ujnwq03GbUHMbH7D+2NhYOc+eSTEzfaTs3bfXdjZYsaD61fMiyoi9ZiMx75PUkz7YK86IMRznh31P0fvEoVynbZdd/ftoLiaVtEazVUFk08ZNZceOC8rk5GQUEeRT89qPeEWxwIXy2IzJr8cVonZe9eU/FOxsbU0nbqals9+/Sbz042Lt/lB1w0elUfXUEgPF0o5JmlOosXTIxzlBAAIQgAAEIDAUBOzGlgOLg0LFwNDiGAIQgAAEIAABCEAAAhCAAARWJND9nKtEd2S5O0nraqnEuDWlLpW8jZB2W5QRS4gr+++D0Ww6KVwSQCbkpRdlCRnHobEmiZ4+bShCq8l1k09OTpXtF1xoBY8xe17Ffrvt02zd3aBdBqYnVS8QtH7ViiS9kvg1/a/Y7VCS323UcbuYy+d1URujVLS0ET1s264qUIyPT5SN9kwKPdh744ZNsQatRbqdXSfquq1OfmjXSLRdW82Yuo5LvdVthrJhQz5u12Ans8owJvdxjWn3hWLVPF7o0OLST5j19psIaEAAAhCAAAQgMCwE8ksWg4iHQsUgqOITAhCAAAQgAAEIQAACEIAABE6KgCeuU1OJ6578dXR0SyPPyteE94I9p0FJ70Ul9TXmyfRu1lvqktdDQ0qm165Got1KvGihZzRIxxVSI5L53rP55Vbtqan1/iwIPWBbt32ath0Wc7a7YmFx3osVTdFDCflqFLeTqjGbPIoimswO+ZWqvTRjzGJXH46+1hTPvRj1B3brlk+af73djkq7KfQAbc01b3zczB0vc3K3y2iYKGLStHVcFy04jzTrynLMr1GU0A4OD14xq2VXL1jU3RY95lq4H8G3drhAAAIQgAAEIDBkBEb8no+DCYpCxWC44hUCEIAABCAAAQhAAAIQgAAEToJA5r17VGsSP5PbnsCviW4VKebm5iKpb7dw6hYkmpy65b1NvUmOe6bcixBRAsi5lB7P+TNVrjH345NaJwfksBpEXv1oGbNCwUYrEOjB1VPrp8rc7Lw/2FqFAn+mhG5TpbXoR7Zxiosmqs5jnS5oTh6XL0Lx2I+tVcUZvcZsJ4eKFJpXhQrd6mliYp3PNWcP2fajE2/jVPPV9XS5NeM9MKzjfdlEAcfvmGV+s5jhdgGjdWE2uh2WP7/CdNOlFNwu55egDlZRK9AYBwQgAAEIQAACQ0eg+3u938FRqOg3UfxBAAIQgAAEIAABCEAAAhCAwIkJZHZaCXU7snusob5lP+LPhlDye3Z2rhyZnrYiwXwUKczQPSgpbo1IokcyPZPxI75NIZLt7Uwx71JpxqJR5eDDd43K+m2cavmEdrXigd1+aWTEHqRtBYQJi1PPadCDryOPH4aZ4FfhQofPoUZ1pbS+j1nfY6+Ta13q61uM2l0yag/rVrFixJ6XoYd36+HaC4szZu0G8hgum242Yl6NS+K9ztySR2zpSb1ou5q7sVMF47JaqHBfZq/4pu39WZi3XR1eWIm5w2/dMWHKrp9GmlhHE1R0OUMAAhCAAAQgMFwERtlRMVxvCNFAAAIQgAAEIAABCEAAAhCAQH8IZPJe3pS39tR45LY9H67xsfEx2zEwYd/Uny0HDxywZLjltC0J7sn8muxWMl/NMFWn9lzQjoSWZgvNtu+Tt2J1zUx+e450lVcNWltdxRq3PNIDpU1ghQodavrhMbX9dJ3j2U/1uJpU/3xQRQP7qTtJvHjhg6aZ61XTXlW9ThY+cmafz07usypHQcJHqnW3bSI/tL6Ob4ceshg2L6PFHjQ+Ww4fOVzWr1/vhZu67FQJVtY7ZgZTTJkrc4IABCAAAQhAYKgIxNcXBhMSOyoGwxWvEIAABCAAAQhAAAIQgAAEIHA6BCxT7clwz7QrCT5S1k2Ml4sve1jZvWt3ObDvwTI3c8Sz7N0Py1JXkrspLGTGuxmo44rJFdVYcqRNV+xxtIImNvehxLopmNBjUdNUfcrqy/dIpFBurF2HophQXXdVqqi92KJi50eebahnEpN7DDIJHTc2HW0m0WEYwyS6TaA+bmNalx/yq6PTb0RVln13KNWcwxtH/VkdeiMuueyyssGen+GH68gyChvpXmNp73rpNDqcIQABCEAAAhAYIgL+JZEBxUOhYkBgcQsBCEAAAhCAAAQgAAEIQAACKxGwNHVm0JdNTMc36z09b7dQ0ofixz/hxrLzkp1l1733WCJ81m53tGAJ7ry1Us6TGfPaz4x6R+yFDPWbMWt4/jzmTE+6pooaSqb7HaRcoTqsyq27KFx07TLh3+pUI7t0ZdnOa6vVaWUcmkCKxz1MqQkkFNOsR5yd9Gd9X6uMe8ZMQfBcrypbP1U0puFRv/3VWNl6/vby8MsfbkUl211x6GD4lLK9xDHKKVG0aBajseOuiUEIQAACEIAABM4mgc5v/r6HQaGi70hxCAEIQAACEIAABCAAAQhAAAInJFBz3U2S2jPgjbAmspU0P2rPpZgtmzZMlac/42me+J6dm/FnICzo1koyUXbbrl4mqO2U6XrU7sOk5Lue7eB6Xvywto7Ud+vs1h0SoeFK8q1/rh6ZfB9VfH54El9a0oukfes7VJqzYnId6cqi6ocjL8wctedOuC/T7UkKeAChr5nV9aMWDXytsvF+7q6wGaqfsHEnzkQOYglH/fkSGtcR35iMQY+jylLXlSTTTzj365jdkssfLj61vjz44APlS3feaf7Nq1ylkV8Vg+bpSL3Z6bsGJwhAAAIQgAAEhoVA/H0wmGgoVAyGK14hAAEIQAACEIAABCAAAQhAYCUClotWOjpT0pH8VuI6ktftVYnskTI/P1/uvusuu+3TPn/uwag9RDoPjccrEu7+ATochoqNa+fFohUrxqqdHnItPZ/fTtasp7go2R/CnMWu5tNvn6RTE7keQ2HFEhPpQdepo2GPo6oq0a+m+9Sk6cKvUQbQQ6g1pMEQqxeSMPDBxjR6cqn1qRARHPwB3jYofzrSgwzDs4tNbiMalF7dmTJqz75QAUUDHn+o+llIq8tqV9fuLmKuGrg/3HvGHqi9b//+Mn1kuvGSRR3N3b5FHlir07RoQAACEIAABCAwbAS6f0v0OzYKFf0mij8IQAACEIAABCAAAQhAAAIQOD6BJuMdapG4jpS6ktl6ef5fOWw9Odv6M3YLoa99bVfHr2fZ275y5aanD9Duz7pqR8I9E+ORbZeqDlN33Ujqu4MYqGPqeB5fDfm2jmxcpobL7eQO7ZSD5jVml//u0TtH+NF41Xc/VgCoc2mkity1+q7buNH6YlpXNDfqV3fNtbfoEIUNMdLhY71Bujwn7p0/FUMaBRJ3EkHY5D59ZaPiTTATO9Mzc39/reEPHVff2/UaM3OGAAQgAAEIQGBICfT+TdHfIClU9Jcn3iAAAQhAAAIQgAAEIAABCEDgBAQ8zW3JbE9aW0Vi0Z43oWdOzC/MN7cfGlOSW9/wX1CyXrrmtCa7M/ndM407NYnrRcLcPEdfppYpj8R6JPe1acKdmp1pVb2cQFOFvjLsVWpK0qwTNcn4qid/zaH0u9lpjWlfxz1hb3oy122PJPa5/BreQzXWrLhl48WLnFvzuF/pZAGlnSAiDM9SbSB07H20LsWDCMXmnDHE6htx0+h6T2HEol46rjtXPMZYs3R0LNoujvnFeXvv7RZX9t+AXoKSu15ciRMEIAABCEAAAkNFIHdsDiIoChWDoIpPCEAAAhCAAAQgAAEIQAACEFiRgAoQSr7rW/Xz84v2cOz5Mms7JpQwXxhfLOP2LIn8Nr5y3p4Alzdvh9tMhTeTyKEOS3Z7kcC75jDy4jFWzxL5NwK9ETrebBLs1osA49pjnU5kEX683BBuqgcvrXgs7keKoW4G6tjR9NOwjT+LKq6X67JOmrq86aWjCFVr19HVjdqA6XV8hQ/NbZqpXIsI0ZewxiZB6oRhezYbZ2kSFVN0ZN/XuNTOdaLAsmCFKT1/RLf2WrD/BkqZ9Ft7NfbujRMEIAABCEAAAsNCYKUvMPQjPgoV/aCIDwhAAAIQgAAEIAABCEAAAhA4aQJTk1Nl44b1vpPi6NFIViufPW+7KsbHx8uYFzLqw667XrtJ78iJt/nzOubiOtYMdvuZjLfBSIh7mcFnSfcdlZjd7CPHL410Fi1/FrSJ3cau6UOG4Sf084N99HQOzVrSkLodkuVYp+SQTm3IHyEhVXdkpyyouHVV7OjHNOHXTVxPDtqjeS6FRGmbw10jtW28XlyjaVsjY1vJhVuaXowf9QeiT08fKXMqVszNWoFqc9m8eXNb6MgYuEIAAhCAAAQgMBQEBvllAgoVQ/EWEwQEIAABCEAAAhCAAAQgAIFzh8CGDRvKpRddXBbn58qi1SNGZuP2SfPzC3brn9EyOmo7KpTOVhVAmfA8MgO+nEw6kksnx3va3U7qVlnamdiPFe01moOdZrrW1SPXjgE1l/jvmErTl2iXpjDiws6px68U7dUpTLimz1nHJFiu77smlplc+llhUVsTpL33l5x8/o4s++m6G2+OddS9mbq2m0a3+5qZnvFdFbMzM2Xbli1l69Zt/v4vNaMPAQhAAAIQgMDZJ5BfvBhEJBQqBkEVnxCAAAQgAAEIQAACEIAABCCwIgE9h+DRj3qkPZfAnk1hjyaYM009o2B+LJ5RoW/r9X5jr5v17rY1hfW7ty/yWZfquHCFk3TzWClLf6y/40kyX+9eezo5T179JlXd0kcO1GvGlk4yvq58iUl2jw0wR+x63ME6rovN51Obfk4dguqrEdb+sRefqTNdPKPCCjn2kJAFe/PnrFil2z4dPnyoPOIR15Ytm7csee+P9YkEAhCAAAQgAIGzQ2DUniE2qINCxaDI4hcCEIAABCAAAQhAAAIQgAAEliWgIsSTnvTkct7WzeXu+/aUo1PrLSl+tCxa4UIfgKNQ0ZpGOtwz5p2kfibJO1nwFUZbT9GKbwO2t3xqxzUif5HK1zW/OXisdmimfsZ4rF7N9cuZHb3+umuI8dDJ+Zcfl06uutVoW62naGkkVrXyyMo6rU3O6ZJ0mNO2aj2xdXeLhImd7Z8epq1ChXZVTB857EWrp33D08rk5GTHE00IQAACEIAABIaJwDK/9vsWHoWKvqHEEQQgAAEIQAACEIAABCAAAQicLIGrrrq6vOjbvq38zu/9fpm1RPWIPbdi3bqJMjI2HsUKc9SWDdTOzHjO0KS9lxlLnc61JxPf8ZWfuF1kp56+gqi6adKMV0H2fapUqvNmVzrZVsNvCdWR9YxXW7/IqE6Q83REXc3Gf+p1Bt19zu+dOthtd/R9ytTvyms7N1o0Q0vnzBjz2igGhtxVsbA4X+Znpu32T4fK8579rPLEJz6xTExMdLRpQgACEIAABCAwTARG2FExTG8HsUAAAhCAAAQgAAEIQAACEIDAQyWghPT3f9/3l71795aPffwTZc+eB2xHxbzl25XdHvNcue8+qEnwpbnw7vzHG2v0pLRc8j2Nc+yE/eqo0V9q0MzYzufPlZBcRqbvJtZWxl+HLumvaaSwo6OxnipB9Scfae/q3U7cXioe92Fti6XZ5ZBTyL5xYM1G3jRcI09eZ/HY6zw+Z0c3w8owqmEjttt82VaKss7uHrH9oh3listvLK977WvLjh0XcNunhMwVAhCAAAQgMIQEcmfoIEJjR8UgqOITAhCAAAQgAAEIQAACEIAABE5IYOfOS8tP/dRPlw996EPlE5/4eLnn3nvtWQVHyvT0tD+zIp7znOntE7o7Kwqeo7eZl+TkH1IsnZR/j5+cq0dYO935u/aNTVcomzogxo3OEscnTX6p7/TTkacvFUrW2e2d1k9Nle3nn18ee8MN5SlPfkq5+uqr7UHqY2nJFQIQgAAEIACBISTgX1YYUFwUKgYEFrcQgAAEIAABCEAAAhCAAATOGQL79pWyZYtlvFdKea9M4gL7Fv23f9u3l2/6xm+0XRX3l4MHD5YH9z7ozy5Y1Dfv8ziO604+PLXbTQGNpP+NbkjdQoFmWi6mlSLo6rpPc5abLdKmO5fLMvNfFXL+1FsynG6OuR5P73hjxzg6gUC+/PkjRmaL/beybdu2snXr1nLeeeeV8XFSEyfAxzAEIAABCEBgKAiMFh6mPRRvBEFAAAIQgAAEIAABCEAAAhCAwDIEbCdE2bixWMZ5mcETi0ZHRy1prcT1tkY5nmPQdGmsEQLaUcEBAQhAAAIQgMAqJTDAX+On91fkKuVI2BCAAAQgAAEIQAACEIAABCAwAAKPelTfnZLQ7jtSHEIAAhCAAAQgAIGHREC7Iwd1DM7zoCLGLwQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAmeUwCAfpk2h4oy+lUwGAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEFh9BAa545VCxer774GIIQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJnlAA7Ks4obiaDAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCECgS2B0ZHBP02ZHRZc0bQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABI4hwI6KY5AggAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhA4EwRGBkZ3L6HwXk+U3SYBwIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgYESGNyNn0qhUDHQtw7nEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHVT2CEZ1Ss/jeRFUAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEVisBHqa9Wt854oYABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIrAkCg7v5E7d+WhP/gbAICEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgMDgCIzyMO3BwcUzBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACxycwuP0UPEz7+OQZhQAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAoIywo4L/CiAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEDhbBEbK4PZU8IyKs/WuMi8EIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAYJUQGB2hULFK3irChAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQisPQLsqFh77ykrggAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQisGgIj7KhYNe8VgUIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAE1hwBChVr7i1lQRCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB1UNglIdpr543i0ghAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAmuNADsq1to7ynogAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAquKwMjAoh0dmGccQwACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgsCYIjPIw7TXxPrIICEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgMCqJDDCMypW5ftG0BCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBNUFgdGRwN2ganOc1gZ5FQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgMEgCFCoGSRffEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIE1QIAdFWvgTWQJEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHVSoBnVKzWd464IQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJrgMDIyMjAVsGtnwaGFscQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgbVBYJRCxdp4I1kFBCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQGA1EuDWT6vxXSNmCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgMAaITAyMrgbNA3O8xqBzzIgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAuc6AW79dK7/F8D6IQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJnkQC3fjqL8JkaAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIHCuE2BHxbn+XwDrhwAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQicVQIjA5udZ1QMDC2OIQABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJrg8AoD9NeG28kq4AABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIrEYC3PppNb5rxAwBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQWDMEuPXTmnkrWQgEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAYLURYEfFanvHiBcCEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgsIYI8IyKNfRmshQIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAwGojMLgbP5UyutpgEC8EIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJnlsDIyODKCYPzfGYZMRsEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIDIjBSBrengkLFgN403EIAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAE1goBHqa9Vt5J1gEBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQWIUEuPXTKnzTCBkCEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgsFYIDO7GTzxMe638N8I6IAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIDIzDKw7QHxhbHEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEInIDAyMjg9lTwMO0TwGcYAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIHCuExgpFCrO9f8GWD8EIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhA4KwRGGVHxVljz8QQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgXOeADsqzvn/BAAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEDh7BEZ4mPbZg8/MEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIFznQC3fjrX/wtg/RCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBs0iAWz+dRfhMDQEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhA41wmM8DDtc/0/AdYPAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEDh7BEZ5RsXZg8/MEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIFzncDIAAGMDtA3riEAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEFgDBEbYUbEG3kWWAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhBYpQR4mPYqfeMIGwIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCCwFgiM8jDttfA2sgYIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAwOokwK2fVuf7RtQQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgTVBgIdpr4m3kUVAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABFYngVEepr063ziihgAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQisBQI8o2ItvIusAQIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCCwagkM7uZPo6uWCYFDAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBwRgiwo+KMYGYSCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEliMwUthRsRwXZBCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCJwBAiM8TPsMUGYKCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEliXArZ+WxYIQAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACBM0GAWz+dCcrMAQEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAwLIE2FGxLBaEEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEInAkCPKPiTFBmDghAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABJYlwK2flsWCEAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgTNBgFs/nQnKzAEBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgMAKBEZWkD908ehDd4EHCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAE1jIBdlSs5XeXtUEAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEhpzA6Mjg9j0MzvOQQyU8CEAAAhCAAAQgAAEIQAACEIAABNjhQw8AAAzLSURBVCAAAQhAAAIQgAAEzj4BChVn/z0gAghAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIDAUBNgR8VQvz0EBwEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhBY2wR4RsXafn9ZHQQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCPz/7d19bF11GQfwp6PturZru7UDJhTZnIONjddpCZEp8ZU/UDQxINEoLzFKAuJLiIqaiAmBRNRoTDAxxASdBqKgEBAy0SAbuCkb8jbeFMa2rh0D+srarqv3NHb03NtetnIP220/Z2nOeZ7fOb/e87n/7dtzfgQOa4GKqMjs85Xdq5/yMfLrzKRMTIAAAQIECBAgQIAAAQIECBAgQIAAAQIEZohARUU6mPDqp/FffB5Ommr8iY4JECBAgAABAgQIECBAgAABAgQIECBAgACBUggIKkqhaA4CBAgQIECAAAECBAgQIECAAAECBAgQIEBgSgL5T1hMaZJJLiq7Vz/VVM5O3UrfUH+qVhAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJvTaA/7//eq2ZVvbUJi1xddkHF/NlNqdvZ2bcrVSsIECBAgAABAgQIECBAgAABAgQIECBAgACBtyawvacjNUHT7IZUXcqi7IKK5tp5ubXF31iZomewN/bsHSilibkIECBAgAABAgQIECBAgAABAgQIECBAgMCMFRjeNxwdeQ8JzK2uy8yj7IKKJKSYPyf9VMWO3p2ZAZmYAAECBAgQIECAAAECBAgQIECAAAECBAjMJIHO/pdjJPdv/NYwe+74sqTHZRdUJHffMmd+CsHrn1IcCgIECBAgQIAAAQIECBAgQIAAAQIECBAgMGWBHb2dqWuTBwjqqmpTvVIWZRlULKhtThkIKlIcCgIECBAgQIAAAQIECBAgQIAAAQIECBAgMGWBnX3poKKxJrv1KZIPWZZBRf4TFR15aFPWdyEBAgQIECBAgAABAgQIECBAgAABAgQIEJjhAu296YW0G6rrMxUpy6DiyLqWFEpn/+5UrSBAgAABAgQIECBAgAABAgQIECBAgAABAgSmJvD0K8+nLmyqaUzVpS7KMqhY3HRcymHL7udStYIAAQIECBAgQIAAAQIECBAgQIAAAQIECBA4eIFkEe2HdzySuvCY+qNTdamLsgwqVh19Ssrh6Veei66BnlRPQYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBycwFO5BwN6BntTF61YcGKqLnVRlkFFskbFosbW/Rb7RkZiY/vm/bUDAgQIECBAgAABAgQIECBAgAABAgQIECBA4OAF/pH3NEUyw4qWpQc/0UFcUZZBRXJ/qxamn6rYIKg4iK/dqQQIECBAgAABAgQIECBAgAABAgQIECBAoFAg/7VPsyoq4qSWEwpPLGGnfIOKvNc/bWjfVEIWUxEgQIAAAQIECBAgQIAAAQIECBAgQIAAgZklMDg8FJs6Hkvd9NL574rKWZWpXqmLsg0q2haelrJ4oeul2N6zM9VTECBAgAABAgQIECBAgAABAgQIECBAgAABAgcmsPaFByIJK8ZvKzNenyL5XWUbVDTVNMaipuPGe8WaJ/+QqhUECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAmwuMxEjctPmWghOXN2e7PkXyC8s2qEg+/LmLzkl2+7fbn/1z9A31768dECBAgAABAgQIECBAgAABAgQIECBAgAABAm8usG7bxtjavb3gxNWtZxb0St0o66Di/KUfiyNmHbHfpH/o9bj9mXv21w4IECBAgAABAgQIECBAgAABAgQIECBAgACBNxf4+SO/Kjjpo4s+EM1z5hX0S90o66DiyNqWgqcqbnni97FvZKTUTuYjQIAAAQIECBAgQIAAAQIECBAgQIAAAQLTUmBTx+Px1O5nC+7tgmUfL+hl0SjroCIBueyUi6Ii929s6+jbFX/dum6stCdAgAABAgQIECBAgAABAgQIECBAgAABAgQmEdizdyCuXfejgtHFTe+M049aWdDPolH2QcXxja2xurUtZXPjhpusVZESURAgQIAAAQIECBAgQIAAAQIECBAgQIAAgUKBax64Pv7b9VLBwGeWnV/Qy6pR9kFFAvPFUz+b8tnR2xHXPHBDqqcgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE3hD4dW4phb+8+OAbjf8f1VXVxnlLPlzQz6oxLYKKk1pOKHgE5W9b18eaJ2/Pys28BAgQIECAAAECBAgQIECAAAECBAgQIECgbAU2tm+OH+beTjTRdsUZl0RN5eyJhjLpTYugIpH57llXRfURVSmkGzf+Ip54+elUT0GAAAECBAgQIECAAAECBAgQIECAAAECBGaywF3Pr43L7/vWhARt7zg9Llz2iQnHsmpOm6BiUdNxo2HFeKjhfcPxpXu/GY90PDa+7ZgAAQIECBAgQIAAAQIECBAgQIAAAQIECMxIgese+ll8J7d0wtC+vQX3P7+mKW54/7cL+lk3pk1QkUCdt+Qj8aml56bMegZ745K7vxZ3Pndfqq8gQIAAAQIECBAgQIAAAQIECBAgQIAAAQIzReDVPV1x8d1fjVu3/GnSW/7B6qujqaZx0vGsBipGcltWkx+KeQeGB+Nzd10Rz7zyn4Jff/HKC+Irqy4r6GsQIECAAAECBAgQIECAAAECBAgQIECAAIHpKNCd+2P+3+QWzf7tk3dEcjzZdtHyT8bVbZdPNpxpf9oFFYnWtp72uPSer0dH364CvCXzjo8rz7g0VreeWTCmQYAAAQIECBAgQIAAAQIECBAgQIAAAQIEpoNA10BP3PL4bbHmqTuif+j1orf0hdwf+V91CP/If1oGFYl410B3XLn2e/Fo5xMTfgEnL1gW32j7ciR7GwECBAgQIECAAAECBAgQIECAAAECBAgQKHeB13Kvd7p/6/q4/8UHY0P7phgcHip6S/XVdXF9bk2K9x373qLnZT04bYOKBC5ZTPva9T+OPz5776SOixpb4+zWtjj72LY47agVUTmrctJzDRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgcNJYGdfZ6x94e+5cGJdbO58PPYd4GoPJzYviZ988PtxdN2Rh/x2pnVQMaZ765Y747qHfjpWTrqfU1kTZx2zavS1UMkropIVzhfWHzXp+QYIECBAgAABAgQIECBAgAABAgQIECBAgEDWAlu7t8eu/t3R2f9ydPblfpJ9rn6xe9uE6zUX+zxL5y2Oi0++MM5dfE6x097WsRkRVCSiL3XviF/+e03Rpysmk6+tmjMaWiTBRe9Qf7y657XcT9dkp+sTIECAAAECBAgQIECAAAECBAgQIECAAIHDSuA9C0+Nz6/49CF/zdNEKDMmqBi7+fbejrj5sd/FbVvuGmvZEyBAgAABAgQIECBAgAABAgQIECBAgACBaSnwoePPjktWXhjLW5Yetvc344KKsW8iWeV8485H4+Ht/4r12/85+ojM2Jg9AQIECBAgQIAAAQIECBAgQIAAAQIECBAoN4HmOfNiRcsJsWLBibFy9GdZ1FXVHva3MWODivxvJnm/VxJYPLhtQ2zraY/XBrojWSH99b178k9VEyBAgAABAgQIECBAgAABAgQIECBAgACBt02gobo+6qvrRn8aqufm9rVRX1UXc3P9xpqGSNadWN7y7sNiYeypoAgqDkAtWZgkCS56B/tGv/im2Q2xoLb5AK50CgECBAgQIECAAAECBAgQIECAAAECBAgQIFBMQFBRTMcYAQIECBAgQIAAAQIECBAgQIAAAQIECBAgkKnArExnNzkBAgQIECBAgAABAgQIECBAgAABAgQIECBAoIiAoKIIjiECBAgQIECAAAECBAgQIECAAAECBAgQIEAgWwFBRba+ZidAgAABAgQIECBAgAABAgQIECBAgAABAgSKCAgqiuAYIkCAAAECBAgQIECAAAECBAgQIECAAAECBLIVEFRk62t2AgQIECBAgAABAgQIECBAgAABAgQIECBAoIiAoKIIjiECBAgQIECAAAECBAgQIECAAAECBAgQIEAgWwFBRba+ZidAgAABAgQIECBAgAABAgQIECBAgAABAgSKCAgqiuAYIkCAAAECBAgQIECAAAECBAgQIECAAAECBLIVEFRk62t2AgQIECBAgAABAgQIECBAgAABAgQIECBAoIiAoKIIjiECBAgQIECAAAECBAgQIECAAAECBAgQIEAgWwFBRba+ZidAgAABAgQIECBAgAABAgQIECBAgAABAgSKCAgqiuAYIkCAAAECBAgQIECAAAECBAgQIECAAAECBLIVEFRk62t2AgQIECBAgAABAgQIECBAgAABAgQIECBAoIjA/wAF2v7CjmSXfgAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tool Loadout\n",
    "\n",
    "![tools.png](attachment:b5c18601-3599-40a7-9c92-e3c02ec4e6d7.png)\n",
    "\n",
    "## What it is\n",
    "\n",
    "*Tool Loadout is the act of selecting only relevant tool definitions to add to your context.*\n",
    "\n",
    "## Why it helps\n",
    "\n",
    "* Avoids [Context Confusion](https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html): Context Confusion happens when superfluous information in the context is used by the model to generate a low-quality response. This is common when working with large tool collections; tool descriptions can begin to overlap, creating confusion about which one to use.\n",
    "\n",
    "* Can improve tool selection: Walden Yan mentioned that *[“universal tools often beat specialized ones”](https://x.com/jxnlco/status/1945490018127987092)*. As an example, general‑purpose tools (e.g., shell access) can outperform more narrow ones. Bloating the model context with a large number of narrow and potentially overlapping tool descriptions can degrade performance. \n",
    "\n",
    "## Tool Loadout in Practice\n",
    "\n",
    "Drew summarizes some [recent papers](https://arxiv.org/abs/2505.03275) that show the practical benefits of tool loadout. As an example:\n",
    "\n",
    "- Llama 3.1 8b fails with 46 tools** but performs better with 19 tools\n",
    "- Dynamic tool selection improved Llama 3.1 8b performance by 44%\n",
    "\n",
    "## Tool selecting in LangGraph\n",
    "\n",
    "The [LangGraph Bigtool](https://github.com/langchain-ai/langgraph-bigtool) library is a great way to apply semantic similarity search over tool descriptions for selection of the most relevant tools for a task. It leverages LangGraph's long-term memory store to allow an agent to search for and retrieve relevant tools for a given problem. \n",
    "\n",
    "Lets implement what happens under the hood of `langgraph-bigtool` from scratch. We'll equip an agent with all functions from Python's built-in math library!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l9/bpjxdmfx7lvd1fbdjn38y5dh0000gn/T/ipykernel_23522/760372056.py:40: LangChainBetaWarning: The function `convert_positional_only_function_to_tool` is in beta. It is actively being worked on, so the API may change.\n",
      "  if tool := convert_positional_only_function_to_tool(function):\n"
     ]
    }
   ],
   "source": [
    "import getpass\n",
    "import math  \n",
    "import os\n",
    "import types\n",
    "import uuid\n",
    "\n",
    "from langchain.chat_models import init_chat_model\n",
    "from langchain.embeddings import init_embeddings\n",
    "\n",
    "from langgraph.store.memory import InMemoryStore\n",
    "\n",
    "from langgraph_bigtool.utils import convert_positional_only_function_to_tool\n",
    "\n",
    "def _set_env(var: str) -> None:\n",
    "    \"\"\"Set environment variable if not already set.\n",
    "    \n",
    "    Args:\n",
    "        var: Environment variable name to set\n",
    "    \"\"\"\n",
    "    if not os.environ.get(var):\n",
    "        os.environ[var] = getpass.getpass(f\"{var}: \")\n",
    "\n",
    "# Configure API keys for OpenAI and Anthropic services\n",
    "_set_env(\"OPENAI_API_KEY\")\n",
    "_set_env(\"ANTHROPIC_API_KEY\")\n",
    "\n",
    "# Initialize the primary language model for the agent\n",
    "llm = init_chat_model(\"anthropic:claude-sonnet-4-20250514\", temperature=0)\n",
    "\n",
    "# Extract and convert all mathematical functions from Python's math module\n",
    "all_tools = []\n",
    "for function_name in dir(math):\n",
    "    function = getattr(math, function_name)\n",
    "    \n",
    "    # Only process built-in mathematical functions\n",
    "    if not isinstance(function, types.BuiltinFunctionType):\n",
    "        continue\n",
    "        \n",
    "    # Convert math functions to LangChain tools (handles positional-only parameters)\n",
    "    if tool := convert_positional_only_function_to_tool(function):\n",
    "        all_tools.append(tool)\n",
    "\n",
    "# Create a tool registry mapping unique IDs to tool instances\n",
    "# This allows for efficient tool lookup and management\n",
    "tool_registry = {\n",
    "    str(uuid.uuid4()): tool\n",
    "    for tool in all_tools\n",
    "}\n",
    "\n",
    "# Set up vector store for semantic tool search\n",
    "# Uses embeddings to enable similarity-based tool selection\n",
    "embeddings = init_embeddings(\"openai:text-embedding-3-small\")\n",
    "\n",
    "store = InMemoryStore(\n",
    "    index={\n",
    "        \"embed\": embeddings,\n",
    "        \"dims\": 1536,  # OpenAI embedding dimensions\n",
    "        \"fields\": [\"description\"],  # Index tool descriptions for search\n",
    "    }\n",
    ")\n",
    "\n",
    "# Index all tools in the store for semantic similarity search\n",
    "for tool_id, tool in tool_registry.items():\n",
    "    store.put(\n",
    "        (\"tools\",),  # Namespace for tool storage\n",
    "        tool_id,\n",
    "        {\n",
    "            \"description\": f\"{tool.name}: {tool.description}\",\n",
    "        },\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Import organization: Type hints and third-party packages\n",
    "from typing import Dict, Any\n",
    "from typing_extensions import Literal\n",
    "\n",
    "# LangChain core components\n",
    "from langchain_core.messages import SystemMessage, ToolMessage, HumanMessage\n",
    "\n",
    "# LangGraph components for workflow and state management\n",
    "from langgraph.store.base import BaseStore\n",
    "from langgraph.graph import END, START, StateGraph, MessagesState\n",
    "\n",
    "# Jupyter display utilities\n",
    "from IPython.display import Image, display\n",
    "\n",
    "# Extended state class to store dynamically selected tools\n",
    "class ToolLoadoutState(MessagesState):\n",
    "    \"\"\"State that extends MessagesState to include dynamically selected tools.\n",
    "    \n",
    "    This allows the agent to maintain context about which tools are currently\n",
    "    available and bound to the conversation.\n",
    "    \"\"\"\n",
    "    tools_by_name: Dict[str, Any] = {}\n",
    "\n",
    "# System prompt defining the agent's role and capabilities\n",
    "system_prompt = \"\"\"You are a helpful assistant with access to mathematical functions from Python's math library. \n",
    "You can search for and use relevant mathematical tools to solve problems. \n",
    "When you need to perform mathematical calculations, first determine what type of mathematical operation you need, \n",
    "then use the appropriate tools from the math library.\"\"\"\n",
    "\n",
    "def llm_call(state: ToolLoadoutState, store: BaseStore) -> dict:\n",
    "    \"\"\"Main LLM call that dynamically selects and binds relevant tools.\n",
    "    \n",
    "    This function implements the core tool loadout pattern:\n",
    "    1. Extract query context from user message\n",
    "    2. Search for semantically relevant tools  \n",
    "    3. Bind only relevant tools to the LLM\n",
    "    4. Generate response with focused tool set\n",
    "    \n",
    "    Args:\n",
    "        state: Current conversation state containing messages and tools\n",
    "        store: Vector store containing indexed tool descriptions\n",
    "        \n",
    "    Returns:\n",
    "        Dictionary with new messages and updated tool registry\n",
    "    \"\"\"\n",
    "    # Extract user query for semantic tool search\n",
    "    messages = state[\"messages\"]\n",
    "    if messages and isinstance(messages[-1], HumanMessage):\n",
    "        query = messages[-1].content\n",
    "    else:\n",
    "        query = \"mathematical calculation\"  # Default fallback\n",
    "    \n",
    "    # Perform semantic similarity search to find relevant tools\n",
    "    search_results = store.search((\"tools\",), query=query, limit=5)\n",
    "    \n",
    "    # Build focused tool set from search results\n",
    "    relevant_tools = []\n",
    "    tools_by_name = {}\n",
    "    \n",
    "    for result in search_results:\n",
    "        tool_id = result.key\n",
    "        if tool_id in tool_registry:\n",
    "            tool = tool_registry[tool_id]\n",
    "            relevant_tools.append(tool)\n",
    "            tools_by_name[tool.name] = tool\n",
    "    \n",
    "    # Bind only relevant tools to avoid context overload\n",
    "    llm_with_tools = llm.bind_tools(relevant_tools) if relevant_tools else llm\n",
    "    \n",
    "    # Generate response with focused context\n",
    "    response = llm_with_tools.invoke(\n",
    "        [SystemMessage(content=system_prompt)] + state[\"messages\"]\n",
    "    )\n",
    "    \n",
    "    return {\n",
    "        \"messages\": [response],\n",
    "        \"tools_by_name\": tools_by_name\n",
    "    }\n",
    "\n",
    "def tool_node(state: ToolLoadoutState) -> dict:\n",
    "    \"\"\"Execute tool calls using the dynamically selected tool set.\n",
    "    \n",
    "    Args:\n",
    "        state: Current conversation state with tool calls\n",
    "        \n",
    "    Returns:\n",
    "        Dictionary with tool execution results\n",
    "    \"\"\"\n",
    "    result = []\n",
    "    for tool_call in state[\"messages\"][-1].tool_calls:\n",
    "        # Retrieve tool from the focused set stored in state\n",
    "        tool = state[\"tools_by_name\"][tool_call[\"name\"]]\n",
    "        observation = tool.invoke(tool_call[\"args\"])\n",
    "        result.append(ToolMessage(content=str(observation), tool_call_id=tool_call[\"id\"]))\n",
    "    return {\"messages\": result}\n",
    "\n",
    "def should_continue(state: ToolLoadoutState) -> Literal[\"tool_node\", \"__end__\"]:\n",
    "    \"\"\"Determine workflow continuation based on tool calls.\n",
    "    \n",
    "    Args:\n",
    "        state: Current conversation state\n",
    "        \n",
    "    Returns:\n",
    "        Next node name or END\n",
    "    \"\"\"\n",
    "    messages = state[\"messages\"]\n",
    "    last_message = messages[-1]\n",
    "    \n",
    "    # Continue to tool execution if LLM made tool calls\n",
    "    if last_message.tool_calls:\n",
    "        return \"tool_node\"\n",
    "    \n",
    "    # Otherwise end the conversation\n",
    "    return END\n",
    "\n",
    "# Build the tool loadout workflow\n",
    "agent_builder = StateGraph(ToolLoadoutState)\n",
    "\n",
    "# Add workflow nodes\n",
    "agent_builder.add_node(\"llm_call\", llm_call)\n",
    "agent_builder.add_node(\"tool_node\", tool_node)\n",
    "\n",
    "# Define workflow edges\n",
    "agent_builder.add_edge(START, \"llm_call\")\n",
    "agent_builder.add_conditional_edges(\n",
    "    \"llm_call\",\n",
    "    should_continue,\n",
    "    {\n",
    "        \"tool_node\": \"tool_node\",\n",
    "        END: END,\n",
    "    },\n",
    ")\n",
    "agent_builder.add_edge(\"tool_node\", \"llm_call\")\n",
    "\n",
    "# Compile the agent with tool store for semantic search\n",
    "agent = agent_builder.compile(store=store)\n",
    "\n",
    "# Display the workflow graph\n",
    "display(Image(agent.get_graph(xray=True).draw_mermaid_png()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080\">╭─────────────────────────────────────────────────── 🧑 Human ────────────────────────────────────────────────────╮</span>\n",
       "<span style=\"color: #000080; text-decoration-color: #000080\">│</span> Use available tools to calculate arc cosine of 0.5.                                                             <span style=\"color: #000080; text-decoration-color: #000080\">│</span>\n",
       "<span style=\"color: #000080; text-decoration-color: #000080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[34m╭─\u001b[0m\u001b[34m──────────────────────────────────────────────────\u001b[0m\u001b[34m 🧑 Human \u001b[0m\u001b[34m───────────────────────────────────────────────────\u001b[0m\u001b[34m─╮\u001b[0m\n",
       "\u001b[34m│\u001b[0m Use available tools to calculate arc cosine of 0.5.                                                             \u001b[34m│\u001b[0m\n",
       "\u001b[34m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">╭───────────────────────────────────────────────────── 📝 AI ─────────────────────────────────────────────────────╮</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span> I'll calculate the arc cosine of 0.5 using the available acos function.                                         <span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>                                                                                                                 <span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span> 🔧 Tool Call: acos                                                                                              <span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>    Args: {                                                                                                      <span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>   \"x\": 0.5                                                                                                      <span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span> }                                                                                                               <span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[37m╭─\u001b[0m\u001b[37m────────────────────────────────────────────────────\u001b[0m\u001b[37m 📝 AI \u001b[0m\u001b[37m────────────────────────────────────────────────────\u001b[0m\u001b[37m─╮\u001b[0m\n",
       "\u001b[37m│\u001b[0m I'll calculate the arc cosine of 0.5 using the available acos function.                                         \u001b[37m│\u001b[0m\n",
       "\u001b[37m│\u001b[0m                                                                                                                 \u001b[37m│\u001b[0m\n",
       "\u001b[37m│\u001b[0m 🔧 Tool Call: acos                                                                                              \u001b[37m│\u001b[0m\n",
       "\u001b[37m│\u001b[0m    Args: {                                                                                                      \u001b[37m│\u001b[0m\n",
       "\u001b[37m│\u001b[0m   \"x\": 0.5                                                                                                      \u001b[37m│\u001b[0m\n",
       "\u001b[37m│\u001b[0m }                                                                                                               \u001b[37m│\u001b[0m\n",
       "\u001b[37m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #808000; text-decoration-color: #808000\">╭──────────────────────────────────────────────── 🔧 Tool Output ─────────────────────────────────────────────────╮</span>\n",
       "<span style=\"color: #808000; text-decoration-color: #808000\">│</span> 1.0471975511965976                                                                                              <span style=\"color: #808000; text-decoration-color: #808000\">│</span>\n",
       "<span style=\"color: #808000; text-decoration-color: #808000\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────────────────────────────\u001b[0m\u001b[33m 🔧 Tool Output \u001b[0m\u001b[33m────────────────────────────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
       "\u001b[33m│\u001b[0m 1.0471975511965976                                                                                              \u001b[33m│\u001b[0m\n",
       "\u001b[33m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">╭───────────────────────────────────────────────────── 📝 AI ─────────────────────────────────────────────────────╮</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span> The arc cosine of 0.5 is approximately 1.047 radians, which equals π/3 radians or 60 degrees.                   <span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">│</span>\n",
       "<span style=\"color: #c0c0c0; text-decoration-color: #c0c0c0\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[37m╭─\u001b[0m\u001b[37m────────────────────────────────────────────────────\u001b[0m\u001b[37m 📝 AI \u001b[0m\u001b[37m────────────────────────────────────────────────────\u001b[0m\u001b[37m─╮\u001b[0m\n",
       "\u001b[37m│\u001b[0m The arc cosine of 0.5 is approximately 1.047 radians, which equals π/3 radians or 60 degrees.                   \u001b[37m│\u001b[0m\n",
       "\u001b[37m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from utils import format_messages\n",
    "from langchain_core.messages import HumanMessage\n",
    "\n",
    "query = \"Use available tools to calculate arc cosine of 0.5.\"\n",
    "result = agent.invoke({\"messages\": [HumanMessage(content=query)]})\n",
    "format_messages(result['messages'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the [trace](https://smith.langchain.com/public/ee81c189-3b60-45fc-a6f0-83d6de190a5d/r), we can see:\n",
    "\n",
    "* We only pull in a 5 tools based upon the query. \n",
    "* The model correctly selects the `acos` tool to use. "
   ]
  }
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