From mboxrd@z Thu Jan 1 00:00:00 1970 From: cato@df.lth.se To: gcc-gnats@gcc.gnu.org Subject: middle-end/4334: Flow control insn inside a basic block, arm/netbsd, gcc 3.1 Date: Sun, 16 Sep 2001 15:16:00 -0000 Message-id: <20010916221439.15129.qmail@sourceware.cygnus.com> X-SW-Source: 2001-09/msg00342.html List-Id: >Number: 4334 >Category: middle-end >Synopsis: Flow control insn inside a basic block, arm/netbsd, gcc 3.1 >Confidential: no >Severity: serious >Priority: medium >Responsible: unassigned >State: open >Class: ice-on-legal-code >Submitter-Id: net >Arrival-Date: Sun Sep 16 15:16:00 PDT 2001 >Closed-Date: >Last-Modified: >Originator: Krister Walfridsson >Release: gcc version 3.1 20010916 (experimental) >Organization: >Environment: arm-unknown-netbsd1.5X >Description: Gcc has not been able to bootstrap on arm-unknown-netbsd1.5X since the change: 2001-08-22 Jason Merrill * explow.c (set_mem_attributes): Avoid returning a bogus alias set from a new MEM. * jump.c (squeeze_notes): Take parms by reference. Handle END being a squeezable note. * rtl.h: Adjust. * ifcvt.c (dead_or_predicable): Adjust. * loop.c (find_and_verify_loops): Adjust. * stmt.c (expand_end_case): Adjust. * flow.c (merge_blocks_move_successor_nojumps): Adjust. Modify the head and end insn pointers in the basic block, not just local copies. (merge_blocks_move_predecessor_nojumps): Likewise. What is happening is that it dies while compiling gcc/genopinit.c, with the message: stage1/xgcc -Bstage1/ -B/usr/local/arm-unknown-netbsd1.5X/bin/ -c -DIN_GCC -g -O2 -W -Wall -Wwrite-strings -Wstrict-prototypes -Wmissing-prototypes -Wtraditional -pedantic -Wno-long-long -DHAVE_CONFIG_H -DGENERATOR_FILE -I. -I. -I../../gcc/gcc -I../../gcc/gcc/. -I../../gcc/gcc/config -I../../gcc/gcc/../include ../../gcc/gcc/genopinit.c ../../gcc/gcc/genopinit.c: In function `gen_insn': ../../gcc/gcc/genopinit.c:303: In basic block 49: ../../gcc/gcc/genopinit.c:303: Flow control insn inside a basic block (jump_insn 625 624 626 (parallel[ (set (pc) (if_then_else (leu (reg:SI 145) (const_int 29 [0x1d])) (mem:SI (plus:SI (mult:SI (reg:SI 145) (const_int 4 [0x4])) (label_ref 626)) 0) (label_ref 605))) (clobber (reg:CC 24 cc)) (use (label_ref 626)) ] ) 263 {casesi_internal} (nil) (nil)) ../../gcc/gcc/genopinit.c:303: confused by earlier errors, bailing out I have attached the output of a somewhat cut-down version of genopinit.c that produces the error. The file was generated by the command: stage1/xgcc -Bstage1/ -O2 -save-temps -c kwa.c /Krister >How-To-Repeat: >Fix: >Release-Note: >Audit-Trail: >Unformatted: ----gnatsweb-attachment---- Content-Type: application/octet-stream; name="kwa.i.gz" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="kwa.i.gz" H4sICNEjpTsCA2t3YS5pAM19+XfjNpLw7/oruMnsxO44iSXLV7yZ99Ruuds7btvx0ZPZ3n58FAXJ HFMkw8NHjv/9QxUOAiBAUu6efZ9f0iKBqkKhUCgUgAL4tTf0vrp/DL4Pvxp8Dc//NauiuIySv4n3 MF2tgmTuxVFCRKKKcBemySJafn/3lTccsKSgKtPv7tKiZIlfezsa2IiDff/9D/S/ZRj+ECVhXM3J D0FSRHMSxgJv18Az0OB/lv1DkK9+SEg5K+YCdzzqA9pBMkiruhI7O92QXfTylazbXifcoHzOyJws PJJUK4+m+RRkTv+Zk8HvA8+bXL33pz97P3nbW/h8PmW/x9f895j9vj9lv5dn7PcDz/9wvMWpvOMQ ZzznLad0dsPf+e8ZT59wSucfBn8OkLHwaDAgTyXJE8ZoyH6qPCdJidk8l1ahKL3wLsi9V7JOURml CVas+PiJUpK0oqREoDLIl6T042BG4iMzMwwXxcovyqAkMq8o8yosvbx88kGCr1QqUVIkR1oRPGMR B8uiztFYFSCZnwQrovJoLYp2myzIiZ9m20c9AYdHbpJZmsb+AwnLNBdC0CqQk7LKE78qyNwv76LC X1RJCELV6ynaQ+T6QZImz6u0KnxaPVp1qpfbh92KyflD/rPKL0hMWUOd1GRGwaJkeWQmMwGKRE4r y9OQFEWaF1Bd+XI0+BNlbUhGLxlf2SOqD/YXSmPpr6hK+dCNkDmZNNrbUl93RkYpFgJYRpYvIYG1 PsAs4jSg1nLpZymVb13SyaX/bnL1Zos9Xl+c3IyU5x1RnFaehRYWusiqo/6gtCHDO0690Y0WQVH6 q4oa+Cx+PmrmA+7Ykb7rSieWjHjuF+EdmRtZ5V21mmE/t+BQraWtm4LC2PKeijCIHXh7Pu0X+6C+ +zvjbvU1CDCdqmgnLKLfiD9Lq2Qe5M9Ibrzbm5yp+ipN0RPo8LDdPo5wktDKOVn6YRwUBarU+YV/ NX17zdToVj6f1cnXN5Pjv8MbvLyeXE9lzrtT+Xh8LCDeTs+nV5MzmTM5q5/PTt/Ds398Nrm+nl6D vlLWx32EKwYt3lNXQXhHXQdpcmhdKH3TwJE7n2RRnC4rKqvMTxdghj1soUWQ+/+qVhkaN5lKzRVT fkINYvRAZEac+0XwQHwSR6sooUMCw6moa7FMCPVjqIJ5wAz2GmpeBiaHrPPo1WBcA/2EtkrNHFXJ mOpzeh8BKe/49v3t2eTm9MPUn1y9vQahjca762tkFoU+LScqaKqi8Y2xU4VTdGw03t9fq8xVcA/W BOnTUXIG/YySOdze7qmqwAz3HAvpm7y+PT27OT2nSvQ/W0bS5dX0ZHpz/M5Mfz/5henaTruqcb8M XMLxTi+fcISt6nbPDO/xoCfRr729bieV6lFAjW4hqO83UEbCqbYTKJ5pC69qT9SZz5CFP12U1I4x 15z64GMurGYu5Al990U7+g8B7VlU33x/mVSheEVDMNzuJqMieQpys2Hr2mF77vevHS1Jrd3uvi2X 5VHEH6oil3MN3utxzlHTGOhFoK5pAOAg2fPbixHDdNEoSwMHghZQJpV2SF363NqhrfCpx1se+FT6 Il9aQ55fmQDFXZqXaBoQebhnxVahqgaYxN4ZWbFrPAagmV000/iPJLM3RqgGHRO0qmE1kpJQVuYd DHEIKvY+zTkSmuHQHJE/3N51q07NDR2CPDCh7I+30GqG85uDj8PRwacjmSsFU4OcwUAk39qrYXK4 e2DrQJL/sbN/qTKmwptHiwUreXh42IWjyR+9JcQc7Y/6lJZXiUA4OOiD8AgS5WI5aDNFtv5JyUap 1i/HLgi7PaAFNCwKLFU4gdY2K8zIO+mxxlQsheiAoDM42TlSMmvtSlmLalkcLYvmehY3J2CGAjrn WEXxc0uHK9LwPiYJb5Jdlzw543aRhpSuJoO9nTaodqEaxFx2ulHmuIue6Eh74zbmeEVbq+rLlSlB 8qCbpGUUMaRrL3FBApjJlKTQihwfrN1U9kGXjamtpNziSKo41kjt9SCl6j8qtrfI0oJp4P5hW4/m ExeqtbNqoZhpfUR95c+CgtRmGhUdTNsRn0kNt9sKMaZQtLCT07NpS2mZUVRuvD/W72zMFktdZmoU K1zrdfVnC4NqPFuwOg1k+kMazSk/Ykakgm/Q5DgtyKa3waA2G/k5CeYye4tXbgtyFVjWUgBeEHKv gLMME5yTfsyjkqi0lamUQBm4al7Njpyir0zZV7lKyfC0Kkrv484nFzk/gfzhpxZe4pmaiSXO4nvW DoaIQLULUoI/APqjTCRRnUCtYLmMjpzD3TZ1RJmFMQlykufeBiJD6+HsHNvUTCTpopGU52kDeRFX xZ2ZuCRlaEmjdRKplPWcwHQ3LEWza4kUi7UO4FEsPmNWsSjVLa9BjSKytEWakYQialqivgnGMjrn LhcWxjwdXiv8+++/l/gVVFbhRskodAY0EjbWme/kLaAbCU3XkBhA/dtS/5x0ScCOjrwXYZAsrI3V RyTQrQXyFjr2ooPybFUVBEmhBRSKrfCUJI4VLRKyQTsgqvVCESEfFi2FJKgZip6mIfmMK75FeYTu 9BCKS00gHYusBdRUHJ6Rk1X6QBpZyGVOHqNkbtSHN2MHe4hPGwWsk7XJTURBnZQPvXF4h2WtIgh0 8dfBOCu3XGUw6slGA8pVwlq3Ke8Hd4dvKa+xpiKU6KFTBayo3Lqpxk3IRBJcWxwsg4ojCVYG1Qcr 2ajM1681/jFthG2gDhMLs8D9tqGJQYZ0UFtRLay5ljIKq4Lkeha3cHNm4LCNbZadKkWSKj3ia29n u9VrEybAr5KYTmnI3G4elGxF5aAjKznOnq7DMLaG4y62MnOUZg9Zj1GO0h/t9qj2o1Fbyu+jrR5F 0qKiwuq2qqp0c9gCSFDSvFlVEt/f2PD9RZqvgpI+03kpFuT7W97Oljfe3JTa/FksNNV68DKOtpEj oaglET2vozXGu32mDmJew6ftotfh4JrWgycHEwOsnA3B6Gko/96wSwsCw0ysYX5eIMERFSJKsHb1 4sRql/nYb/NUsipfqv1CGcyox6o4GdpEgQ9fEBKjjGBCvV4ohi+jVyOhV0zTO0ZIS5l9i0TSUOJQ L/HFg/Ln1F8yI6uvFrNYUdNJwvvWvtWrLNh19DdGWALtEoet4wEfZ6pEtbJi/smmpZvWua4ltzFb 3arnwZvWGbBJhLE83u4cK6g0IdLF0Gqa+vASv97p+lCCj9h59CGCsjjca1+ACcooxPVH6H9iDRGG xw18DgU1P9tUlkwiWtR33/nZd3/zH72//eRte3/84W3U7/jEVzS8v/6Vdd5NP/T+4yfvm/9NvtnU NQT+WNANrC4Abvbttx4lEyprDyQuiBOLC2ADGKasbsJWNNtDaNsdO9jt2B1rRtUVwYJ8F8LAIHc3 x51wbFsXd70hksOPilkcJPcQbPa0vb093KozwqTMY5ExUjLm0TIqRcZYyYjTR2pcecaBkoF2jGcM t9UM2JvnGSM1o8iCkPCMsZpRZZks40DNeFLYGm7THKWO0bzgOaNtFYc6wCx5rCUnMv3AIBTE2V0A 6qAw84da+y0VFkT9k4b6hyrCLZVBDRb4dYEu8yC7U8lSzD9UcapNmGVYk7q6fyhVZNFKWgyCsQXI gTFy4ONodw9XlQ77aJmVKFsLA5pliqLjNLuhUbaSg4O91v0dfTf5ufihsZMCi8lWgPYNhMZGr3MP oVniqA3Kum2G6x0PK77aZ91oESBid01CKGheFszn2saoRPAygWjDe3DjPcgC9T07EbLCFty7pDiy be+rrbH+fsNhK6U199v2ttv50vcb+N6Y2HHXM8XOWWXP5nvsntxrb2JjfuUAEHt22p67ZSuwcgCI 7UBth13Hx3xtC95Su0ZAgsp7M+BA5awZUKCWq8QJuBuRJPMoSNo3+KAdTTg6cB62grXrDoPz4XVO su79RRe8e6OxiTFybrBpjAuwg+1+9Ws1mgfDHmXVNkpRSt+0JJWi8X5GRxqmUoo+3JVpEoMzJVI2 m847C2vzN3GCK/UMMAuBCSl9MLHMpEzvXlYmYK5RJmwUHnyGxs2Kx6CHojXA3LutBihsHbVBAUzd hphMvfsNmYTVL1a04l/5dKbA8r+iNa+1AhN3RhxJSltH2hkB0kB2f4a1N+ZYkITiPGir/aijdzUA h8PDXr1q3GmHaopdQ4k9gqvy4ccZoVX5+OuIwEARuZyGyo9ZRLaj4KS94NZy24o1S0U2vDCrWKyJ YT+48f+1Cub2+BUzh73TueqvwuSYWVAe/K+bI57J2BHZlvJm8X2YlA1TxjSabdeqmXziHJr2rx6x 51bTyLLIgz1jET1lDh6WesiOYoRd6UmqZmBr3JNnvS1EBJEnAokGNjsP8/b7OjxPwcZAIi8TTWw2 SR5HK7t0CrIsfnNkPVJ52+tURXOHsMtoRUT82nbLFECsl8ZszxKXMowlVVxmLHPaUQLYeFRBeG6d qS/z1FDUzG4ftrBh70MhbBTw0LjRuAc621STHrsRjClkYoZUYjGyybQsQMltGUVVEDj3VZiZuoFQ gGgd9kY96qDGpS3m1BUq7lls4LAHMg+1oHh0ZqOsHUlSNKvwZ1FZfNzY2KCzzE3vW48+gczSxYYE 26R9+WBz0/vOG9J/f/CcEJufIDiDlYfj00H3hFUbSkieJ2lrnLCEcMd3NYkcuIjUMxpooFe+jzly J0s9c8SUGVv7ufATCB1Rx22ROBzD0G054MCeXwEcBeOR6Do+T2ckvvYOt9vDOR1uDR6b0Kq/7QRZ J5YcljKdhKRjvtNaFlu7XZFVeJdblpCNHXGAW2UmnP4mEWrS2bM1WqQjRkIlwQIL+hYInWvDXgvW 9LQgahDX2cTWUO9y05Qq2zY0vxZRS2QPAKYQQtIKWRcKQlyLX75EArhF1rUL62nh4FAgDythNatp xeaGrspksqZUzYALoNAuPFtTJmvKxkYjm+X3fZvCrQC1mLolLsnR//qClun9mkogt38Ztp8LfFOs fCsRUOpaPC3y1QslS/9qA6BYALP3OrrnvMoaatZmXov2ePcaZk0Du+OmpK4atpUGmj1b02zOwhR1 WgNxgP5G8rSWrtahFotC9GAmxSiZkye77rK3vAVCWK2Auk19TVzSA1rXmj4D6N5hd7McbneMjYpN U8yWkzUVvLY33dapIJncqLeEWxzut+/HDZvH5d3H1eJopq1CH9hy1+sBu4c2Gup6nr0Ew+X9XYso /rVKSz2qOScr8FTn0YM24W1g40xBR8ckjh8LAgMLDR1DHuhi1ByZgm4rYYHKp5E6e2JuyQj9yunA Usy+S3biKgKmcXDUCi66oH79EzLgacHwwQwWQpiD3FzsS1J+cwOu93mqyINZoYZ10gniUyT8JrGt D0jztJrFhOanC2vYJ82IGhkoQJoT26w4s1WzgsDx/j5msf4VMQduHBbzxJ7h9HQaehs6FagTtAJo G58w6yH9jBITB+R0iRXBFzkhlpMHngylJMlDQxiKztUYMbYMpIEgGasx8spilXkOH161KorkXwup FJ8hRewAcDePFnD8Kie8TPuAVDAUMdOuNQhdkHlb6E4jnEloEqLGa6GKRtXWLGohI8XqZST5nJMa YYt24zxpFjfjHs2RBA5Qpo8hbWp+YvBFPvNjWKarWT0ccVpiwjaDIl5eAmeVcgmlFC2+oL0ESYja u71Dl70TegbeqbZAw4bI4b5zHOOaNQfs8YHUU55MRLK+avxx55PQq3+1QaA2x7R6SwvEvqQRG4Vj 4sqWmLSVZqxsv1JUlZB2HgtBl1sGER9rszjNE7OKOJnV3hvHjilevDcO6lKESxmVeBJYYZDZqYbi s5Ga8pqupGC4n0QEDf3YQCGgNdJ14av7OcS1GuHkq/vCSJXgZroItbwnz82+zF1iau6yoLxruLAS Dpciy+ciTst6pYoZxwfTPMNa6UGr/KXvAcOnZfzUgeJ6tJCJCCUGjnrkkPlbXhNcI8rM7cuM48B+ br4RpsYN8MsKgStInFJkkkfBB4rklVMNMwzCw3A+fgJIUfIQ4uiDzOXh10MAArK4dyXQPsShvlR9 fofzL6AXUV5Y4BWIVVCGdz0mXACbUO+xlRgEeDnqJiUhYHElzVEQW7foWEwQwFUvaASfB2SVJnbH jIHOyQM724E7U1tyW6g+BxGnwTx4WFIINhJ8/CTVkx02NLw1xLsjQfbF/KYVyZfkC3ph8+iJUbMF p70SCynWzC1P8cWYwfuC9IQFbQw29o6DFaP4dn9YhMfD/WxlVMaNPasXxvIPt7xRI2x7ieUsmSo5 5k9KsITC27J5tAhEIeZ/aJHZC03mqWjvfn2ZC+urNKqXEcF2ggEcvCx9gOYAYoXjDiawRvWCXMLP qoU88kCf4UlZHmHIbF4Fl2iF8rAd32+BxId2WuyPTZVxxiykueVJqfJYhtalk51Rx9KJtgJSJREd R9S1j8bRsBpkvUWU/QMnoRcFBDauEDDpOeNrmpU82Onk7XC3VQ76tNnvP29GFQnhIkb7gqM2Fwji IF/p8wMxvtzNo9y2zsAy08fGVAw35rdYkILoGnwk1xby4Q4tHLiYMbSsVvIhC1ara4bo60gbvyCR PJEwbreQ9XFcBCZrQWfrQD/YnVnRR1VI0g7ahpp1liJCMqjRvtfnSgtwuUH+miCl4Q4f57U7IRsE GxTGf7KM6lWLSqZWSqqEVUG5+7DM0yoreMkM8OMn66JOnC6jRKKL6sDIsswza7pSmpqc2RiuDNai gvanZ1XVINSlwzFEcdbSdHmzWVAZnmwWZcJJhi7B+wQ7/I+Sse455Ctbb+ROAspadDuelmEil8WW iNJRxAOTQ0MQBZdNxUH1K55iAmvuhqVg60jPhdQppYQylC1WC6QMCyVRZcxQA9okzB+ocauk2TCK DPklAYqL1RClcpKZ8pZmpWaEOBa4tabZE5EOmEDx6HCrXWhMk0iem0lRMjeT6H9suWDYav1xn2ke lEHxnISqDBZqglKd8C5PU/u0IolCUp87Hg0P+o07fN6WP2dlj0kSSQSkZf8L9CAomvcbKF21UNSV 8bkzauVTCx3Cm9889Qq40bhbwDNhHpV7UdioJ8XLE3G0Q02xDXKU/TkeomETYNXg0iy4Ur1pDCGV +7umva13E+rGQAku9QI0u6iLj3Me9x6nIRpMGRTMYDcwT1ajaPLOpFmgZOuWkTMk0fWVoMGtOoKQ ZtWWKCe1WauZlZm1oeIVknOJx2DWucfL1ppXPew8o4l9TowjMr7Nq4T7JJO2lPA3YbWE5VQzBhgP z+r9oIzTWrAUZrAwKXWd5dG4MkHcbgVxew9BLGWNd2yzJuWxca/sTzq+uMKhwz8VVjdzDl2qEkno LiOtIinmjTq0duM2J4UfRtkdyV26aV5FAxiOtUm2Q5XM4faJ4g6volF6LXhf5Yv8toWwzjUXYDPS VRAlDiOg+kwYRWeUq/YLcTKZmVQezAsLXPTJ7ArNVZ2imqVZc3HLrJJ9+80uKVi9Ft6ehW0BlQM2 BN/I4F5tgaRltIkK8FVMH5NOK4qHUNNFeWdPuohiU8xbPCJ8i0UXK9uoGTg5tCto7k7TK0DTGK7m ivA6+Lcs3yikyExoyZZ5CdBDek/s9wPlpHjIcNFJEGMXbHLZNsrrId7CUE77jptYorK5n0RzJIWf qk4AGFGuvzWMGC35joSS2ocXPnGwdWvYDVE7hFnh3FaNXKuGWKtqKj3LKXNWgOhjW22RgELDlM3P xyALy9hqHHWoNLHX4hku2xcE2NyUr3Fh5C3LFIs+9dy1SuZ0sCiJY98VNNwPFp+p5NqKmVRapKvl q5bBLwJr+Gy3FjdDmhvhybQBrOHJPJ2Pu7r3TtmGkG9tNsDsJ04IYHVspyOa2b6ClAV5sNIWkA7b oNxR4ZTR5s2yex2AbnJwiUNSdl57W4N9qYtva4ru0LNGwfrZUjYpUC6GHgw6WFs9Lh/XuO7bAm6J wrdCa8FcyjYAAMYkKNou/q7sQPW13jK/8wLwygGqUWm5CLwygFouA5eQ/S4Er0z4QYO5hVNMkkAD RMV1SEdDtotl0UMqi75CWawnkxqcHTxZT9caxa+Cp75Fc9D269W1kp1L3bYe3tU54csgZc+eacK2 81xDS4YPejHcwTEONv0YNkDb+ZXA9RX1o14mtHmRtDEQ9GuJxapUr1Nvq5cB2l4vCdx6/r3Jr2Ns kKNlLabtlw2q9P+mRg23h70KHQ9fWCg6iFqJ9rFXwrVGCFfKETs8CzfGU2wUm18/QukfHHTS53Rp YoCf3VFK4DGuReDfBck8Jnnz7iX1b0OPQhCMeBSfnf9Tw2rhRnp29/WfLNpn2FsSgq1oCYfQ63XQ nYM1hTkwqwNCiCHEKrwftFXVENGrgjqZmVpztslb+Pp90Oxgp6y3hwUppyp7t9QDCS3N9PCiZkKm Hmwt9KC3kPVSCheHWLUuOXF5gPGj0PwTc25LZfYfl5lq9rOG2dHBGodvqWYFZbqKQtY4h93odc2p LS8htkgP5S/CuprapeE+zQHZD3eOLLeVc9QiK/IjZ26+3ZI3bMkbteTttOSNW/J2W/L2WvL2W/IO WvIO2+reKpg2yQxbREMVQdNiW37c0lzFQ9ian4WKJtRGNORd9M82h61WSjFajQ72W7utgNvZ3u3s 3rXhFQsdW8L4cDu8qdhj++BmDKdt/b0xhR7vd0HaB1/+lbSdUZPkcLTXDeymaqG3301v5JpZNupT +xy7vVwTB72+nnZ/L7vpYQ+tixJNFnf2+6ynCBoWL82aa7sSqVnrPuR3Rq30tRo20RthQl0kXE1E SY2dpGph7tiYlcfOHOKQ6KM2bPRzu1tKh7h7FKtLQmtbQ8/2dtYJPcMLI6IVabUJKpAyMou9MOOM XPngFyQ8aiRWmPpnYzuuyDTXi13G4aSSCCrwQdT+fP6WJsTwH8rf/FWUVCUpHklhHAqkefOiBETx WRurJ2wpLMKbQXSxGPKK4DvNJQIdtcDQn4qYAmNXkiSL1KjM3W9GBSLTLYKUYP4vw1Usg9JEhX0g SGP13h921LupUw19OnAArHki+tBBZrS2HWg4ryapg+0WlkVTrUyFWukqy9OokjXS7tIqbwLOg+dm YtrEfiZBE/vRhv1sS4yKeWGeYqXJy1WZLpQPIZmxRisfOhFXSB6bW4QgGLH/UAsGzzSwS3qYyhqn bjQ03uNf1cen4CN7DILlbXEY2CSvy6AM26koMHASI3aA8cfVPcvXua8PXXNOXnKhfkMsxhUJwtYp VRU7M9r2SfkbbOx9HH3iu2jlb/KiERkCoGzC0EaPo+VdWW/NyDVKaQvVHR2RONz5qj58BFdTqIJb 6y4GZ43duzum1Wi6fXonraeH5IHAdWuaAYZB5WggL3HylxAPAzvt4konLaIDhyB5aEQg8Nr3xSgs GLoCmHhJkKQ88MUB6C6TXUAV5oSdXWswKeQCNPhlVQau2M/kuVoeBP49kDyvEmd+rbS5UmwtfaO0 ooGhbFBakF0U2Z9mfvzcYoA6P9SjGKKagOiDyq50w+A0ofvpvs0qvZTWQLMdoywtoidhQWrLhskj 1brUefCzXGlWDxnRIeiA0AQRrcbDDxRwrJeVpggaQcv1GChhAQpwKqy+LhJboeCZjFqsiHI/MYZG zf9lG6hEMJc1vAuDkirseFq4gQOUdgmmqhy44Q8qgEy01EzXsrKygpZa4MWCF9umvoOpwmDK0t30 UpvsFhq7Lvk10jXW1+QcZjEdn9Ie7u+tM81ZhEnZ/i1NCdG2zx+U+ubGYQuUOkbRJMVXxLODNJFa 4AfVOUtZKn1Qv4LMQ9VoBjzVOfyuScjAR2X1i8Wulz59qFOXInWppkpecmTGNh1B00shAvFy1Aa1 6gUV1lB8yt0qx1oa7FJKSkHfBhCXkkLODMbCQsuTzlzzg5L1lg/NNT4dquUtSWL7ODXN+bXIgpx5 Z2xZ3/oRXLU+LBh9ZV5J0Yg8XN03TjRYYBYRnQ66gWoriHpoRocpKvpKD62FNOYSsqB6xFZtmw1p UWPVcZYV3jC5oTLFQz5RBjyYWuMYLd6aDMdK2Uw0iVvEW0z31fNa2PyNSHDj/D9nnMOyeHcLSLwG ubhLFyxXfUl7JVelG71IM2niAlCcjP3e6FExtHZeHlkyYl3xWTx2DL/mR3ZjjFtqpj7ekSQksnfs tvHJgsiad5go4XrYWOD4dvQMpKvG6zN0lscmpcoBLxhTOm7EGg3H666tPQaRPmYM91ug8FLxBHaM IcVYXnjEDlkV2k1MzSumrHsgj/4NyVc04cf9rdadTPh79I/TnMyrVfbjsA/0FSlDKvcfD/oAn0Rx TPIfh3sydF3k/QlcHulpvat3XaYZdR/68QDAIIuXMazyey2Wyfa6mpXXJK+KYEmO6oMN2NAbdWR6 nZpph9P0+FAVbkcNDpX2kRXUIDq2krRh8W8nt/aH/d11+gO7MEq7Yn9/r72E8e7O2h+FiqNZNCN5 +Sy/CbXXBda4zm5OFuaKeEdB4hZefeHmFXwibA7nzuVxFP1osgdnk5lg2MnkmoK820tFF1NgvZR5 lelAHYWwA+YdMtGKgI++W68eMD9F1EpKQY2dFBvVo/lh09iDMe8tS3ZUkF9mwl6GWzx1ZCsTD4w9 ztU1NnUpjeb6eZX4bFLZgOF836VpQYcjssp8qK31qocWpvnNQcE9p8E+5qtJqz8tBQs/LMZ8F5pe yVOSiqzw7mu49k9bZLTRwut64Z5seThEIYO3RvD8Zitr1XwyL/41SVFrr3NE++zu8CWqxw8WtPHM 8508A+CTcW/hItn05NWFRjd+klcTeGwQt7WcfkWBSYG3K4QuwD0gebDyHd3HhrYIqPLM5Z1EfUrX Cb0SpNpoGLrXoOC+v88C7LhCcc3u82S90nc9Iwx1JyuFiv1enXUkwr7sdkee2Daf/hU4JA95cEZM 0Xc8ltxP33EjDw7jVWX3NQpth1QaV0lZe2cm3RjTU9HhGh+QtV0WYRGjuFrHs38n1yjlobMY5Zuw axS2zb+OOrJ/ZdLWDlx/jv3GpWDg3HQtclm/Mvi8CgMZDzDe7fDRdkfuu2qkU1o++dTjOarfH0jI UthshJpmQg0ELD8ZsbMc1XtFHyyZnA5kP8BiTx1Br5H1XsEjfnjW++r+Mfg+tAgA/s/5Kh40wq49 U8504UOQEeye2gjB3jBMFiW1wxYI9sVQvp2Mc0w6I2kjSqvIyO7tt8IMPlycvoG3rcHg9Sl7+Jn/ vuO/1/z3Df+94b8X/Bf+LgXSpcC6FGiXAm/w8wknzH9vRMI1/33Df38RACeihJ+POSr/vea/b/jv L/z3hv8OjgVDx4KhY8HQsWDoWNTkWK3Kh5FA/TB6J5+u5ZOszoexBBxLwLEEHNeABxLwQAIeSMCD GnC497N8Hgmp0CJPZJEycVwnHsjEA5lIm/Ps7+wZYnYO2rXgWIiNPvnnFxcf8NWjL/8jn67/cSme T5SnqQR4c648T3+un8+U9LOb+vmtkv72RoW/VRFuVQz1Rck5llVtRh/pVb0UkDutXXI0eD/5xX8/ oepzPvXfX7yZeixIc9jaTZu+Hn/BdSHcQ/+EHhL2Z0gLY7hz43cPivCvJudvLt5vsZfT8xv+dHJ2 MRHPl5Orm9PJmZJ7fGxbRWBZF+8vz6a/qMA8hZF04X2YHt9cXCloPMGNBcJC+meT6+s/Ld66WeP6 8SP7nux2b8FqKy9IB8Y0JthBFyg1/KWE/9o73PuMYuGEhqQ03P4cUrA+7Qd5HjxzasP99amhxiG5 x2hOchwohFikYJpDCWJQn8NnF5fop+mNdrO4VU2CBTidhG8YScqdS13tJRv+a7NUPNgmCmRnvBtA mmvdJAGz6plgXF24tXGmIFqkIjGAJrIVxDRhhfejOviydhmVPxQENSN0mvoo2JQN7KzV7LkkfO/O CfOY5vMuGDigy0AgBN3hGY2sRpJ7RkgTPLaQuTADl4sl/Zf9bVf24Pb87+cX/zj3cLQ7Pz1jD/Rv +svllX92en3DUk7Pr8/FK0T1jJ0U309ujt/5F5dTsMOSHEu9Pr6CX57K0t7cXkooFZmaSlZWc/HQ KIta88nZ2fRMI3txqVCWcI00qBcr5mDfWcyb6QkMYByW//HEy+n08t3F2RSJjLZ3u4hcX56dMiGO mtdL2kr0qRglVrPckZZKR6bX9JfR3+2kTxuZNRJs6Bx0Qb+Znk3+icA7zY+KmMAnt+fUNbw492/P Oec8Y3L93p/c3Fydvr69mV4zcqNOsR1fUClMf5keiwa4nv58Oz0/nuL75M2bq+k1JzbuJAbFMzzx wEneiCxKZt/ZpySgPzm7mV6dT25OP0w5menPConm590lCUQ/OZu8ZZCHbnnWWvfft+8vdSU8pnpf p7yeXF2dTlnZ45G78Y/BxzibvJ7Wvf384oYpzXjchqe2gdHrQJq0ZU/PL2+Zeo/33B0KILmFYI02 3j9oMVHXl7xM9uh/uDijMj/jMofGB98KCe0O3bYOAd+cnpzU0C1Soo3Mq3Z7LVr3+Ozi9eupVBkQ P3u+mt7cXsl2ubma0IY64a9UM3+pW+zi/PoGfEJWfotlZpBvLm5f84qyhGvac87fSg4gjb1cMhF9 mJzdsqbcPXR3hKupJDGojTKd6Q5bBHL7mqFRsJYOCwwe3/hnF/9AN1vh9Hgi395P34tHVET/anoi e/Y/37++0FLohGqblbu329q61AZcnDDIA/eoQQ3H7ZRZvb0WGZ2e+Dfvpuf+9OyaCXR/e9zaN3gr vafVZi12eXZ7jQ/vT8/50zkT/PvbM24UTz/g+wXDvmXvt+KdD6GnOBYOfmE/tLNyyUyu352ewMvV xc0EezBLQbGf1Y8su26Ma8oQfb6mMw4sDd9u2Rut555bdpdXMA6AqsHT6Tk+XYCiTuUjS4Vbi7db 6dBKnp78U2DJN5QS/Z3+TP95C09vsTrwhFKjE1hMvMVU/BefwT5cXL2ZXmHj1k+QjsRuz5Ec/bnB nzP2xpvi7OatEND16Vva7r/cTHmj/s/06kJ9v7m6BW1mrYzzuTqXvTYhajt5cvqLsGa0nOkbX82v EznU5DXTnOufZfudnDCrebDnVkhRhavJ8Y1WB5kwGLw7fct9sbML//r2PSN64B6LqMF+C61+coGg hy0dgoEqdoYlfJhw68lez+qRE03Z5PzGv/SvbpgiHo5bzCMMfZdnk+Mp9YLe1DZ5QG27/3569VbQ xYTr6dlUVhsSVHPE369vVAzqKJ6dyha8vvZlZ75Vnml63bdv1Reao+nArfaONzS09I53p2xY3HVO ECCC4WxC+w24h7e0VKoyVG4+DO5/GrPV+ku3MG2ISbIs7/gSinOtBSCVpZZWOLbU7oLEqYpYo2h+ /2yAYSFypreKEjbJ+9E7ONJyYPPVDxaUvP9Awh89PKas4zkzg6c+mFCCG1XmqtnpYgF7eeLdxP7R G2nvcDEZ8bBqf3r4xXQ4JANciahF7VvTsLyel/gLC/ADCCVizfiI36YXb/xFWxGheDxZbbUcPrsB ibRVPFzt99gCv8fX9j3LnDUvRUSYhWUPrjaz1UTG/YQFiaMZbJH5PIWy4bNUBWwWlasg8+9IMBe7 DTQJAGBbAZjA3YUaPiiikMWJMvjZDKTK5XWkHLfj2xtM0/TpM4Y8eSwsyHMs67D2YkFDmoj/Va0y j6mEmYUX0GEWzJYPHVN5A6lKaCMlyyhZCqq2Uh/SOCijmvrubj/qVM25PBTiXuOL5vM6W88kyzwo RbY1drtZ7iIP4HgEiWtMRpi3kreI5x+HMuR2e9S+G1RvRYmeQBvMJzF8G5GpNDzXBMf2dQq5iEKW fpKWBBQDmKKjFfVjJm+8n7zhlkyh7gybGe046wtgdD56+mFrUFOiCZOzrYGS8o/Jtb+tpdB5wwcB xFLOTl/D0LY1UMHOL86p47ilJsCIdUJHqJuaUTYKIK8HB628wk7E9IZ6hFvilWJeaWyAV66x+mZ6 Sceam9Mt+XZxe0MnexrQ6yv/8uritSaGX3B4vT2/0fifnJ1OrpWU68kHOjG/mk6a9KBOddLJ1eQ9 OBZ0CjiF6eilxvf0HQjmhvo5Gh2aTH9OL8639AJh3qsBvp/88/UUlWBLYZZN7zT+z+kMhzaU//bi 5kKtxvTmv99f1riTs39M/nntMwJMKXf3XR22ZZTlmiqHZDp12WldIIySIpHK7XlQUbac9JrKnSr4 d9QB4XzXeW+om3TDxa3h0Lr+3X8NKthMpm7vlgF/dnFx2QTHVBc0tNqWJf3DzcVl3RnqTLm+ZCFI VfDs4u3t1JY3vTxlea9Zh7JUX1V+a5GvZV9U6AoNa9a7zuL86JhX08sp6vIZrE2d375/zbuiBoTu coM0S7bJlDrWZtrryfXpMWu0Jvu/XFIHmTKB6wdGQ9CJIT/A7tZQ1E6mdKCiGrL3naF/fLNqu70f 6Pe/VDPoBPT/JPWZ12Xf69B2FDoAtJ0MZ3HeBh1Z+CeDdnbaeRZONvm1ou6OiF5g4UE+dZIpUHGk x7ksSULoyEpHfZ/FSPpZIxYmJFHsx+ly1PgshQKI499TBh/ChIBVStGnryQsfXRUNsB/2gIo/KcR ZAZ+LLt4K7wj9F/qnQH/ovYKN3QwTkIf77GTu0RuASvcZXFVsDv9AooM+2tIXez8OCGhmLQqs8qN hFWAD1GsIDSnCB7oXCEngYzYMWoMZVDB+/C7obmEVj3iZw4kMjjMDB2e1FuIFfrwDXbWJYaGELVc K2/ADY+c07hTaUivXUA2pIhlYBUtRYhMP1r4Be3KEFjoAlulcLiMExLqowBRfMrCo28WaO0VmUbF JVVffFsZyL3Si0Mg6J6y9QylM2DjYEZiBs3D8NRQUdbVqQTmSn+36CRSSh+zAGYv6Qo/MmjRlYZw FLwWhIGrKNo8WVoUEVypsAb6XbS86yjSgeHa97X2DF56o3Hgm6frFB6tgmV/jDTDb/P6tO1g05W3 mG7te1kkaWJ0Sj2GCwsbYKdCYmWmjQ9FCUWbZ0YHso1NAlYMhn3aSynVRlJqwAtpgkww0r0IFsRf 5PDlXbvBoHJ/IKBqZJXmz7iAgJ9x66cuJRrOwuzNxscZa3fEYhohPw6KkptgnVADwA+S58c7khMT kl+HDzIrqHWDE3JWkKwq7vwyVYC0aonPcfQjsqjiWKdkSEmSa0K+QlCLPW2UrLVqtFqRuc8udmHj shrZ0WGCsVvwT2Gu4KPnfa0Y7QhpGks/wBCaPfQEMZgFs2qORhE9C+GlyWP8MuGVIdeOEtekxq8R YPiixzWH1miVxdHiGYxMmfOraG0DdVBAh+YuHL/DwR5kIyNtXNjsK9drIzM05mbWytEEJ6uId6sZ oSIjLiOBcOC79gaGZbfewLMgzyNY2K1BLVDMd+hBDmdAAk54LhY4Zk9gSblnvbthRU1qSGdFuolh PThYSzVi0AoV1nLS1y0AF5Pcrrdk9mkKBriGjF0lSn1qFaorkzeLbXTRRWj/qqKtYfpB1m3DPZIO JByzUdfy4NFSmywnD1FKZ2QOUcA3w115gEt5SeQCgQu/AwbpgF/ZSqQNACmAAX1oZ8QNwr7PJXMb bposxaUWSL81Mwy34Y7F3EUZ8uEylxpiYJMkuxZqbquEvgFCaZK8wNF5HrGxxTHh7MDzV8HzDEKD qSNMcDLZiw585GftwoXvujZibzT0oFZBfs9sRN1kfAGlufYQxiRIqkx0+qLpRzFfkXpZ5DfWO5mh 436BOcdlLWhrQKTDs9nKjjNbWiCrK9QY2lwgrnFlkeKsH5gorOr4ahEl89rboukrH5cqRIU16JLO BArq7JROSeNcBSD8GZ14hXdwiHIWzCKa8mwQY2D1eGJ1MaVzVSUBLRzncxa9cM18XXNEWwmz6IVF tLENKWtTbSmoLs1aHG7k0VKojf2y9YAJCBPQFyNXrUWtfzsCbS72f6+w2TqKEPhnluUuhk39XXOy zlX1dv7/bcRzksUBnVRqa5K2hUmJ0FiUxIkLGMvaPuFMLCcLOn4pc/TG6hadw4oVi3TBi4dZjwpr OXfALhIQ64x8jqovEzkrL1foqySiI4gvNgR56dp2thAD3Mm1N+63X4ERHGFAVTun43HmWL+tQE6w AuACeAjocFPIFd6G7ZZFdQGy5ZuSLOGWSZKvHMMTjyxg+ys2nkDOJIEuRKEy22RA3p/gp2FY5djy ResAxDaGuJK0UAU4CKigI2z5SEiiQjrAFbL9kQo8cNMTulgDnPtmq1VVBuj08vXOwl1nqtTRIurN fpIyD6OwwTdA0c/ohpQ8RC1A6L/PSUaoq5yU7Y2ItzU4tz6iZEl7BMCMnBxVcRllDKqwqCkgJ2lq 73iYsUofiHW6gQ4WrlPWfYD7k279pUpWwEIi203N2qxQ3XLa5+GFaOB+2ZhqSUcnQ0ERWFd2Llfi 3K8o01z2vvoLGrUG8W/dKh+9HTSp0E5Xu9YalfoT2VYSuPPGGxxk6mrPOcSopblbMUwgKejG1oCl NfvYdgsOLcCNZQ4stjLZ7hz9N3qoKel1krALdsWUWpb0TJxYSdqK5+ARmykn2AOUCjY7UTQnPlks SFgW1o7EA+dg8Fx0QFhn99iTg2f3EEmHehAhnYuA1czoEFdQz8Labfv6LxKOLAu9bzc2u4zeCRxU MDbiBFbyoH7OaeMVRu/y9elGD9HbkGoyoe6M5JjbF4neROO9ibY67ZA+fK24YViMpZWK2qQoCX3r lFaqwJxtLUFwQ+6zL4ZrNsqw8gXbjaKkFSNqmDUFBS56qa2ZHEIaq/ey6yyinFpf/J4LgTjhOA3m xoyzgQMCCYp628v0NrDCcG8MBrj58vQlddHCO6J/jBkuF/Plcc1aIPUHoRGipuGCqGkkyvaJjYKa j240Xo9TnxFVa1/n10dKN7SBRRQCKyggviWsX94rCwpmNAzEZIO845jER5ar1tBC4ec1Gmsw7Pqa Fa0Bd2UMTVMXSuckxCPHFFyDVofXxq00ryyTGuPaKWma2SF+eMpwTM5haQrT9P1KC0IQ4xy0JDqC 6R8z3UzShIprpW916jMLXCwRi91m+TYQSnQRp4/23UK21QcBQvTtI52DvPJG3rfe0DhlXYOWeYW2 8MiWFyU4ffu48+kj8uWZt0qww/7jw/22gMhlnM4CCAKBCszJEwbTv73yL/HmB/pwfLzNn65vJsd/ 9y8vTs8hRJalsbBTmYbXlo2cQbYU4d3k6o2JxWP/aO7k6q2ajGkfTq9ubvFWiuOL96fnbwHoekvP Y6w5M97883zy/vTYyLu4vXl74SB4fDLZ4uXLMD9ViaTUPjIIJuvdcUcMK65XRyHf1vTZrBEbWPUI cYOUB8e1ZtJBIV1BhFwTig7YoU/7XpS0ZzpJ8AvTuC32sxQ/68O1UZyup9N+eWuRqcI8jgw+6uoT 0r1Q48kFEC/Il9vyaWgLpOF0q38T3UgGXXQTRtuJhFWDBwU0UkaOWDte5hcosq1Oa5NvFdD0iwiI Rbd1iuYlhUnSbUKZrtHQkuBnN3WxTrEGYa1mzWIbKTttjJDpi/pPH8G+QKwt5Nbv5y3EioJ8hvRt SvzUqcIvb+/WinzBerSVM/0i2tpmT6qKRGuMEmo3f/L0ZpBPOxJuLNN25dNeYw5iYWj7/zuO/m9l JJ/2u3j7Imy1a8j29svGZVv1ee5OQ2PHjZTd1qoXRTSdFtEXNSicuZHSeXaUZwuLEqddh6bRi0Y7 TrutA5PpOp3FNpjYlLPNovYszBIizwk8fkmHiGw/Pr6g+kKydZu3VXn7s+scbX/RSkefUeVWYX7J 4Z7ajS9JjkTlZzV043rYrlYnhHzW/Mlu9fnTuKPkL1Jum59IXmSR+swNq2mEf7NZFH1mNcQkRR03 6mGTPylGWD7ty6eDLeeJfpp72Jo7VBSoNhXDkfl9zEZv539l+YJRs2maXlJ7m7Yf2JMPN4/aFxHK lzSjraSe5nbWv7yWxjNMnltd1/Ch+nVy/h2B3b2W61JcAtfu2XIGqjgi2XUicK3XhvNeSxMteMTr cfoj0HLWRuCXdrXVy44IN3Rt9D7vJc4itRfHPwq4M+peO8RdEh7Rq+8Za+ev2JlQGb8DmlifP9Ar xk6wYHwwP7/CQ3bwO4W73WEysNw9wo09DK1tnNHNCez8dAPAlhJ8+oEUhW1zIyxwm5Mf3eVk9DiI hDz6WUGqeVocNfCh8crURzsQ1gf5lBBXeS9KOsPjHvo6P628zzP4lwt0aL6ZUd/t4msXsQRlwER6 OOwXeRSmcgPPEYvLPv3JVmdNaPuhIzUEtsyjhyiI42cfN+TVgFDXzmkBR7WjxIDa8k7gzsFX5t4J gMNZq3ShSoIjt4hJnpJQ2Rg09nDZLrI/h8XroGQxUzbjaZcbRDrrG8CqUJNnvxOgSlpBxN4q3521 wuFmAH70xHoOmlO3hcWzfX3oUE4G2PK9MztN4ufWTIzJwbD6zB6Z486M2BlGJD90BxpJoPaoMtp+ ObTkDKLnrUel9SP4uM0JLW+TyTzKxcF/N2saWHt0e07wG1hKNHxh26Mv73LoZHVAuKbd9jsS0tzn aO2xYhCdWJ86kB3DKiLrWYW5ihamc/JyTNh+LpsrNI3IXos9gvpmhGR3aUzc8Yi8T8BYwTe67UER CTAIo1p4R7l8DPIEbo+yAGZVviT8YBDqmHICwTzJAIf4Y4g6A/cOjzIYgbBiEx7ji0ADm6fqIZsd HnAA1NvTTjBVbDySI3KcncWjGriTzrbvnFdEICAcsPExMNkWZoJhttDo/NOfNhg85GKeLnCc7wRR VNHcJoSoPncL7WupPjs7y84N1cfFLIAseoKfWqPaUFihMKYEgNpz/RTl3BQfP4Kc4YUQ7YeVqf50 AWo3rbAbA1yxP2a/t0FhGCX1jZhaBSIwUh6hsYUdOnAUnWwaMA3RAm5AVgler4GxExB+ECyFc2Eh qXNsAODHomE0sh2TRAjqJzmxRV7LCUodznmAUo3HcpWm9RH/MSrvagV29xl2cl0/Jtsb2bjaDwJj IPS/5fymEmPEg9xCzUgWeqgVtQ0QoKqZUfYlOPZVuDTmoegNWXBg3m7SkbTIs0oSElJXF4718Ora gphoT5gBF5Qiuph07l+0hpdq9z1AWjLHca1KnA61ZRbFmaSudHlnj+fTjTcMYoJVkJSr8hpgmZZ4 V6QO3jgNAUNexYM1XXQlEJnNNGKajY2efARkUXz2L9w3P82npuMXxnDiDGOmOYLNqqXlAIqeqUYy Nm1IDZYHydJ5+rkGgwm0Rk03zpzdWIjE1g0ZEHO/W2Dxy3GCns/C4bvJRgl2IpSKArtlP/mCAxO4 JLaz1HE0w3PaaXmnDOtWfUSvRtwSxcFE6dao4xCudSFP0CGNGFwlJt7AydKCnYil0/w4XVJHHYYV kkXsxel3CS/YimWz+EzyHFpCUrUs6QBjPWfAJdUFy9uJekL5AzY9i7WlCVVcOt0v/Lwpnu4pg3ti HRSqbA4xiwhZxGnZjIC1uq36YSsrCB6r4r6EesqieYIKPsDKBnpQQPywTrkqW8/Is1GJXa2WwJUq bNJp9XvkxQLWxuIipYyCRGmdIh4hbj0sjLZ29uxnETEOJXUdG2uoMQaD++xIUh2B32Ya2LA7m7X1 ZTTbsDDGw21VY910LJ+yFZnbhcZkG/Hr5qxOAQOZk9B5pQODgMM2nbdfWQ+5GAsxmh9vLAq5Kood gcQRLtbg6VjHIhMPrOQ3t7nHRBGAibbHORayyTm6TBjtaJ2xyQhiUuDZOupQh2W9nCRyt4x44+Z5 KPYFJarD/PxLX3y2vogVgkv60FI3+xnqCquva4pSd3ILBKCyo4EEbgxnN0y5IFlVtC+02iDUtQyH 80Y5CoPEdROZA9xnBtHVs825YIRTbuonOO5bsXRnPn1GqyVCW/F+RzW+3mANzY4xSrYtgNb+XXhP bfW/KmpQSVIWlm9qM55muS8cM0t/anYCvM2o0VeMUxs1RHOSKS/ijBI4eRokyjzTYqmUywUaX2bW up0KZzNrcBVnBwzfwwAOfXaRGAWFMSp3iQ+UB64Sw9V4pzniq+b8zi7TV7ec82skcbWy0E0oBz3p 6kT0M5FfjjfdySvuokXZRtxSgpW4wxvN/90FxDmdAdFe+wVKsHD/pYnzL3EKNxxOmOHhirPjG7g7 +/3kzPvJw7MVkMK+tIE3rLOEy9urKX0faQD++8nfp+yuYpq3o8LqWeOtuiT2EaafvF2RdvPu6uIf NGFPJGjXcdOMfTzw0HDfaFVymH/jLf7K5Fitomu+LC+LtdzKVFM1T+u+qICBeYa43iSqCu3Ti+Z5 q4GxCAn7UT64A+iyuIZdajrxMJT1lkBldIapooVGmQdsFW9VX7nAF07wfC47P2g/ocv30RRM73du k+GCxy3vFQr0yPuz4fTQKVVxH9H5RhagE22O32xZg0Ipc1HXNF/A4SQCCj5qlMWm8glJUnN3l43h dDR49oNZmpfWIVwbbfBrn81PmycpP7NifOYet9OCJE0cV/DippE48x4S97KPGPGhXeqJguV8GUzM LAUxJtYrrrNMKeEGScu+ZRn1AONDbztg7dbXl0bKKx5dPYU6uEGhdxQHTJAE8XMRFU7/oR0MI2Bg yq2cfvbJQxA7d9/kPBhvMUHiYmO2Ho3EKWFsLLDlYuWgwuiEfEUL4CZczSmDCKYqYZXDvNbM5c+D P3UcwwDXd3hHsxjOa8GcTiVMfVNAdjn/7Lw0ksfHuzSey1VsrWBbUBm/PTNaoR17ai7uLHPs94p7 bDeEC59fcSuPZhoagLvC1BGub7CK6mWhr72x99X9Y/B9yD4G24ilIHQUzwv53fsDZ75Wqtwf1A0P jCcWM8M+6wQvvo+rAgvf36KN7o02N01FheK+PNkFHZZiG1mHYWwl3WlI9fbB87Wx76zZv5MFtTQK vpLDTets5N8wtCjG8g6u1EdpHNkXwNMlGxC/9nbbdXdJkqLKMsqm1N92GFe8khmYBItWEkb3cGh3 XmH019ycOlscgRX3BUxXVxsRYItmSeq9Ke5uORSlt6aMtrwd7Adfe3uKGAcDyzc3qA0KZsXHT95P g9+9r9ieDk35+JfXnz7+ZfLp4zbN8fBrrycXV/5fNhjEX4K/zEZ/2fwKzPNXYZxTKfpICXB0BJZL ETa/QseKHajl6zhwabv6+QIlc1Bnwr9cBBiFR1+PcHag1gdV+ycqFQb+3d/gs1Dbnza/x8+VbYoP na2GOJHwViP2m2bwi58EgwGj9DI82S3AI/PjZ0lG/cQM/6H//3rETmNHC+pyMA4oNcYr6wTiY1UL sACMNhbIy/H+y9uAgmFZmjXFpveDJ1JEEtRjU6B8+y2j/zv/jnu96biI06Bk1WIJkKW8wmJmhHeb lqLSOgGoKAnNPKphGAvwE/9wHfyx6oDsuAIx3j5RJjPQmf/4yfvmL994f/wB70P2vvEN5Ar24a9B 7luYw3kJ0EVDIMv+61+9/wAI1EdGmyYx2vC++c3mkfpde72c35UsbCpaFONwU0XS4AxY2vAqRfE3 o539XivZ+1N5I3FBtMyC9vXwjlL99tssM8mZxYcBnYF9c/7Nj41ijeYaHvVhTBA8dRJkirEetUsn NV3d1qN64qQqlHw9eh8s9FrAQ3vx0EdZ76W/tOeiW+b6guYmQNl0ptnQaicAGyY/nMnuqqClbn6i U9lfoVtkR9T00I707bc0wU6+Vl3U3F9dMFIEzEQ5iYBNg+726lf5uFF/kVPlEfvif33jKtAqcdZn BrayUyy7Q8y2wmqTtd0srtEp2V+C5oeOFTHsO9rbYHMtpQsaWsTSZzTdJnJUgMgTNW7cUbLpfUfV 3ou8v6EORt999xLlwq8MqDWLXqRcsPrul2mcPpL8I9WSTe+v3vbTYvGpr851KJwTH7TvPxSDRccY rBLTxgjHA5AWHKXY7EVFMVROePhrK+lliPB181O8rqUnq8z6OenhV6A3v1T3i6iN235R95IjJ9iD wGoP0BGLtsxuZ9XOzd6dGN26/lRbx0HbKGY4Wk5zYKTPySKo4tIyqKjzLe6q06necH+LevvyY4F+ QwC1kyHbDkSuuEttvtJAU65XSaPHqSrHvQyqc1x2lq9loXzhs2rsU25CyqshHxNWI0UpFTX8UzjP wjP+qbc7bHOyUev0GcBIzgDALnFtZlMlKnCG8g4+4/mfxeb/JnQ2s4WeJ9MNBe6rzSPFj7c5vlTd Vf/290G7v+n7RVaV4QZOJjb+Sl9PaAPVqq4puNNtVI09G1w2vvmRP21qw4/0/WoPy+FgNsyE3YWC im0oZshsc8UgGcorxfrwlaHYjqLNgRQbIbGPZlj+ESj1kWfz2YXcjfErqQcwa3O08jdbh7/R/z1/ E4M/2QCMp/8sgEuq+Q5p9ivk9csLGfUuJHQV8p8FkO7jtDkoH7ezb2qq0sTWQvu3cJVln9PCf9aG VLJ89L8J8Pvn4P8B1MsAXPswAQA=