From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============3830241756710702317==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: ld.lld: error: main.c:(.text+0x5A): relocation R_RISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-relax Date: Tue, 12 Jan 2021 22:01:31 +0800 Message-ID: <202101122224.xghCrzfy-lkp@intel.com> List-Id: --===============3830241756710702317== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable CC: linux-kernel(a)vger.kernel.org TO: "Steven Rostedt (VMware)" CC: Ingo Molnar CC: "Peter Zijlstra (Intel)" tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git = master head: a0d54b4f5b219fb31f0776e9f53aa137e78ae431 commit: d25e37d89dd2f41d7acae0429039d2f0ae8b4a07 tracepoint: Optimize using= static_call() date: 4 months ago config: riscv-randconfig-r036-20210112 (attached as .config) compiler: clang version 12.0.0 (https://github.com/llvm/llvm-project 32bcfc= da4e28375e5a85268d2acfabcfcc011abf) reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install riscv cross compiling tool for clang build # apt-get install binutils-riscv64-linux-gnu # https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.gi= t/commit/?id=3Dd25e37d89dd2f41d7acae0429039d2f0ae8b4a07 git remote add linus https://git.kernel.org/pub/scm/linux/kernel/gi= t/torvalds/linux.git git fetch --no-tags linus master git checkout d25e37d89dd2f41d7acae0429039d2f0ae8b4a07 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dclang make.cross ARCH= =3Driscv = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): ld.lld: error: arch/riscv/kernel/head.o:(.head.text+0x0): relocation R_R= ISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-re= lax ld.lld: error: arch/riscv/kernel/head.o:(.head.text+0xA): relocation R_R= ISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-re= lax ld.lld: error: arch/riscv/kernel/head.o:(.head.text+0x40): relocation R_= RISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-r= elax ld.lld: error: arch/riscv/kernel/head.o:(.head.text+0x4A): relocation R_= RISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-r= elax ld.lld: error: arch/riscv/kernel/head.o:(.head.text+0x4C): relocation R_= RISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-r= elax ld.lld: error: arch/riscv/kernel/head.o:(.init.text+0x0): relocation R_R= ISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-re= lax ld.lld: error: arch/riscv/kernel/head.o:(.init.text+0x2E): relocation R_= RISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-r= elax ld.lld: error: arch/riscv/kernel/head.o:(.init.text+0xC4): relocation R_= RISCV_ALIGN requires unimplemented linker relaxation; recompile with -mno-r= elax ld.lld: error: main.c:(.text+0x0): relocation R_RISCV_ALIGN requires uni= mplemented linker relaxation; recompile with -mno-relax >> ld.lld: error: main.c:(.text+0x5A): relocation R_RISCV_ALIGN requires un= implemented linker relaxation; recompile with -mno-relax >> ld.lld: error: main.c:(.text+0xB4): relocation R_RISCV_ALIGN requires un= implemented linker relaxation; recompile with -mno-relax ld.lld: error: main.c:(.text+0x116): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax >> ld.lld: error: main.c:(.text+0x1DE): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax >> ld.lld: error: main.c:(.text+0x2AE): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax ld.lld: error: main.c:(.text+0x346): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax >> ld.lld: error: main.c:(.text+0x3C6): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax ld.lld: error: main.c:(.text+0x468): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax >> ld.lld: error: main.c:(.text+0x4F2): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax >> ld.lld: error: main.c:(.text+0x5FA): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax ld.lld: error: main.c:(.text+0x70A): relocation R_RISCV_ALIGN requires u= nimplemented linker relaxation; recompile with -mno-relax ld.lld: error: too many errors emitted, stopping now (use -error-limit= =3D0 to see all errors) --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============3830241756710702317== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICC2l/V8AAy5jb25maWcAnDxLc9s4k/f5FayZqq35Dkn0smPvlg8QCEoYkQRDgLLkC0uRlUQ7 suWS5Ezy77cbfAEk6EztVE1idzcaQKPfAPPHb3945PVyfNpc9tvN4fDT+7p73p02l92j92V/2P2P 5wsvFspjPlfvgTjcP7/++HDan7ffvav3t+8H707bsbfYnZ53B48en7/sv77C8P3x+bc/fqMiDvgs pzRfslRyEeeKrdTd79vD5vmr9313OgOdNxy9H7wfeH9+3V/++8MH+PNpfzodTx8Oh+9P+cvp+L+7 7cUbjz5vv2wfN5Pd6Gb88Wp3tbm5Gl3fPI422y8bRG0Hw+Hm85f//F7NOmumvRtUwNDvwoCOy5yG JJ7d/TQIARiGfgPSFPXw4WgA/xk85kTmREb5TChhDLIRuchUkiknnschj1mD4umn/F6kiwai5ikj sLA4EPBHrohEJAj6D2+mj+3gnXeX15dG9NNULFicg+RllBisY65yFi9zksJWecTV3XgEXKpFiSjh IYPTksrbn73n4wUZ17IRlISVHH7/3QXOSWZKYZpxEKgkoTLofRaQLFR6MQ7wXEgVk4jd/f7n8/F5 Bwdbr0+u5ZIn1LG0e6LoPP+UscwQZCZZyKfN73OyZLBzICQZqDVwg4WHlSRB7N759fP55/mye2ok OWMxSznVpyLn4r5hZ2LonCf2CfoiIjy2YZJHLqJ8zlmK61qba419OImSAGgblExIKlkJq2VjrsZn 02wWSFNOf3i750fv+KW1TddeIjgFXi4gbabVgqNw2AspspSy4vw60tAUbMliJSvJqv0TmLxLuIrT BSgpA8EarOYPeQK8hM+pucNYIIbDqhwKoJEGCz6b5ymTMEMEmqnZlALorKaZIUkZixIFzGJmC69F sBRhFiuSrh0rKWmatVSDqIAxHTDaUiknmmQf1Ob8t3eBJXobWO75srmcvc12e3x9vuyfv7YkBwNy QjVfrp1YvdAlT1ULjSfkWq7kxpokr+3Q55JMQ+absvsXK9Q7SWnmScdxw5ZzwHVlUwDr5cOvOVuB ErjckLQ4aJ4tEPhHqXmUSulAdUCZ31oajpcKHAS6xUjENiZmDBwbm9FpyKUyZWTvvdkTXxQ/OHbE F3Pw74WetsxJ0jlMpI2qUhO5/bZ7fD3sTt6X3ebyetqdNbic3oFtxRweq+HoxghFs1RkiTTlH7GI zpwWUBAXy3qLIOG+dOy0xKZ+RNoLyAM4yQftcdrMfLbk1GX1JR7UEvRcOUaCCgVvLVN7SjfBnNFF IkBY6EeUSN0eoTgfjHqaoUtd1zKQMBGoOiWKGYlFG5MvR5YRsJC4HMw0XKBEtP9NDXb6dxIBy8JB Y2xtmPn57IEnzj0Abgq4kWMuQIUP5lkBYPVgrRIpRN/QSYv0QSrftSUh0D/iz1aKJMA/RvyB5YFI 9VmKNCIxZdZJt8gk/OA+BqpC8CqUaacLjoNQI1ko3I1lBBgHIYdI3Qc/YyoC15GXaUTvyTdpRgkO itBqOEEh+cqMVLVzBO1bOGdvaW0FJZAXBJmerCYNMki+nUxYItzr5rOYhIFvctGrC1xnp2N9YOgh 4cIcyUWewUZc6yX+ksOKSwm1PdCUpCm3pV8iF0i9jgx3WUFyS9I1VAsG7UnxpaU80yR44wBhDcz3 TZPVKSQqYl6nONVhIRC0JV9GwExYmUtCh4OJyV877LJ4SnanL8fT0+Z5u/PY990zhFMCrpxiQIVE pYmezmm1A3NPXgaEfzlNxXAZFXMU6YoVk7A8IApqC6M0kSGZmluVYTZ120so+hBkCsedzliVerhU EokwQGC0zVMwIBHZ05r4OUl9iJ/uACXnWRBAap0QmFFLi4B3d8wZRSTRBPd5FqNz5SQE32JoQ5KK gIfcrB+1V9Fhw0o67TKtIr6eTM0UOuWSLlsJt15EGoOHhoIlj6CiGN68RUBWd6OJxTCP8kj4ltZH UebY7wNkvTkE5vGoWcOSaL5349t6zyXk6rqBgCBFEEim7gY/bgbFf9YiA7A8sGgoPTGlbG3xnoC2 6XyHhPk8A78aTlskMksSkSpZqTvMWOl5daqK0IUWfkXcOhMsbWAZM9nF16ULnO80hUgM00DodRDI LOpC5/cMqg0zs58p3GYegiGBVxsbhfICor2xgCKfO1I4hsNua3dPpIDsjwcth4VQTO7dqg1IKPv9 dK1a2UqVHFpT6dmTw+aCjsG7/HzZFWWIIfh0OR5xl+cukNcTo3igqGYhmLIf6jK5idA1gsSuhAaU NpmvJSrIaGZ7k8iVUakMFLWT2hfKDkVLTivJnl9fXo4n7GkloPHlBi1yHRgAadqqY5QRTZPMKVlb jKZ/t5L0Kow85MPBwHmGgBpdDRy7BsR4MDClU3Bx096NGxMsctR5ijWjYTGMokN3hIqmcMAlT4/A +/iCGmMEIxr5umulc8xyuEVZKNfxHyhEIOhsvu6eIOZ0+SSWG0+ibkbeoGhoLP/+E+RN9yzNWRBw yjFileHD3FHvAqzm2ea0/ba/gFXArt897l5gsHOxf2VRkkOkYaHleECuYHZr8CwsDLB35mo5aSc0 F2LRdSCg5bqtUfb5Wr4PSzZwrZgRiXTdg/Q51BBAQ5L23FK7/7I9J+8cmUzKZk44pr6FX839LOow xuldAnFhzdyrQ1YqYg6hVJkNJ02h54c4q2B7wqoNbYzLCHA8/Iy9Zy3+hRWpNbqnT+KKUBiZQAuh 6of0wtgI1ObgjqbA/h7Sjm66NB5BvNT5c4ur0HUIxLwFS2OU0f3KUGEjZpgJWd1Um1GxfPd5cwY3 9Xdhti+n45f9oegSNW1BICsn6HPjqEOarEhnWJlDN7nLGzNZwsTOexJmMx47c59fWFntmEGNsWRh hii1m5aY294NjDRG+FnIXG2GElM0h0Iwuiyxsn6UqkscMh4a7eO46MznMuEx/Fb2YJx5CaSQEVhy Gt07DDSKuLg3Upqm0aFPiv3YbV8vm8+Hnb568XSafrHixZTHQaTAkac8caXH9VQlIeZbhvR+AcxF aNV6JeoBca4qs1wMmoFfcW0PjiC8uvsqAkZlUeKMon2i0LKIdk/H008veiOalHmmIWrcXgzpB7pP 2z3KJAS7TJS2MHAB8u5W/2eltSnD87X8BqYqULn6aa7aCXwsILPOy1IBlI9Hut8g5d2wJsG+IbhX 7XQWVvCjISMxJRCsnYJ7SIRw2fDDNPNN3SIRuLXKWzalI86HscqqsmdZkk9ZTOcRSZ0GUelVotAM GIV9mabdfyRG256pTunr777voQ71T/vvVolbBB/K7eLZlYAmlBKz+ZXQCBbX/h1sn/g55bXXTOi7 7eb06H0+7R+/6pysSQT223JBnmjrVVZ44DkLEzNCWWBQGDW3em4+W6ooCVwOCk4i9glGDqsXrtkF HNwI2FZxe1atPNifnv7ZnHbe4bh53J0Mnb/XuzTXVYO0EkNpmAVmowtiYT2JcQHXjNKRv95sk/u6 CPIAvDJGP8cumwEYC1M0BEN52juqMzuic7ll7SoMl6qrcTeuBTVOAUtGP4Xsw5UllGi2TJnsDsNs rhwLviASS1drERIoy7MUv+d8RDswCCUOWNQFYszocjSvAavRlE67hGNjaijpK2cNihDYZ4rIADwA KxJUp1fusY6iOng9e4/amg1zicRKMcMvSh4l2HGJYAFGVI/mvAQ0JYTBznBTsXRGeVVbR7I5Xfa4 LO9lczpbPgWowI99BFNIzcYZgssixoUSQQ1t8g2AgxR1s1oj3ZVgZyl6hRn86EVHvJopOm/qtHk+ H/STCS/c/CzWbM0lRNKzbT09x/QRDjUiUjXZBPj/D6mIPgSHzfmbBxnXi/fYdrN67wG3d/wX8xmF FHDKbDikw7kDDOOxf1tmsR05IToW8p64rxwqkil4uTXGlhZhiyw0yFwzzZiImHJexyIJmsSUxIv8 nvtqng/tnbSwozexk64U+NABG7WXKdTbkuBQp4Tgm9+QAol8qfzuZBBMSBeaKR7aUFCNFkC0AGQq WWzfZvarU5GUbV5eoBCogJixFVSbLdhwW+cE+oEVyhRS6llHaXQX6A2NKYJ6j4QyCracrewNJZD/ FdtucpZfrLjoye0OX95tj8+Xzf4Z6h5gVboltzH5RBFINeXcnr0G5/cpV5iWpTxY99GAhrRUj86T 0Xgxurq24VKq0VXrbGVYbdOSJwD7bEL5bX2A33MlFKSueId2NxncXrewLNWFGGKHo5syl9uf/34n nt9RlGFfYqd3KuhsbBQg+JwEPAfUCnfDSReq7iZG4/KX56HXEkNWZU+KEJ0WtNx7zBDTMdICXB5U cWq92lgRl22cX9K1PICDYrRCTzvr2KlGMqiu5T2kyJAa2I89ekigYHY9lSo8wX1e7r+HB5xDHVE2 /3yAULY5HKD0RxrvS+EM4DhOR4C2D1rz8WFLIXdMUCByXzlw0crs6NbgWWImQzUYjRtvhJ2yoJB3 xs5HAzUJAW0m9eubaH/eOvaBf1jvtpqNcLkQsf3yy4EsgifGSry5doncQevrZHnwa1J86PQ2y+lU aT1u+YuE57UFlEamrUfLIkxgBd5/FX+PoGqKvKei1HO6P01m8/+kHytWeUM9xa8ZdxZpd/0MsL7w nCywfwjFbl+mlE1bSgiA/D7UvVY5x85Hy89pgimblu8jRwN7csQGkHG9FaeQZhZmbOqqXJFgvobK ycqFfWUovgjMLUMqmsVc9TzKBCw2ObDTZTLIGUnDtRu1ENO/LIC/jknErQXUOmjCrPpDYOcY6sAl pqBmz6VAiHBpzwq1U2rdqkEOa9/DlYCcrG5uPt5edxEQcyZdaIzpeH3nEy8j5sniCsd8F2XBa4Pv 1i7EvxpdrXI/EVZbywBjYed8zNBQFGVeU2RlUbRG6bneflF5Ox7JycDIIsFxhUJmKYRakC+nZiuU JL68vRmMSGgAuQxHt4PBuA0ZDYwijMUSzCRXgLm6ciCm8+HHjw64nvF2YGRW84hej6+sFNeXw+sb 1wsiVEDYAcSVZNx54iOtULfCu/RVLv2A2c8nlgmJuUvmdGRepDIG/iaq7u+aIy3gOVEj6zlSA75y vf0osCGbEWoobQmOyOr65uOVg93tmK6u+/ndjlerybVjHFQX+c3tPGFy1T+aseFgMDEdamvPxXvb 3Y/N2ePP58vp9Um/9Dh/25wgbbpgyYl03gHSKO8RDGD/gj+ahvL/GN20Z6AQJViPJM2z6ucLpA3g XcDrn3YH/YXB2TDPcuhSJNgLcD9ZfoNFLSA6F1aWbxp3kdJTyauksaMiiMRbA5OFa0C5pZfXS5dV 8+IpTrJuz3O+OT3qdhf/IDwcYjgdic+dTcuDX/HPUrubOy+NAMe3mPY8btEEIZ8m0mWMBRqyvy7T 8uzeGge4yLqcKkemFFEdcDJ1QDGVs6mzavNNu4dEuu3uVAaXGBtFcRxMcTKgwpvtZXfqOnyl1ubk S1eQhfi7ur3JE7W2atbCOWiw8zRCSMOofhyKbdCORsjdab85dFMqFAgUYTqCU/3w2DorQN20nggU ke/4/E4jzgVfbapdTS84gAMbDwcD+3hq+KoDz0iqQiuLbCF01SbCNwjiVP9sXIaUFHZ5ZgB7edbv Ylzg/lGUxqvEIc4CUY3rNSxNObzm8uPK5aNLktKQ/lJkhtvtrKKF711tD10+XSdESscuygFI3L86 HqyuV9fdcy9jbyLzctFt7jaBS1at1aTUtUbwFf9mKCqLvlntKEsgQ6g3nJJtUIZQ2yuA39hK3zDw GadgmD3Pe0tzYHH+MBy7EoRKI5LUd6kUgN0KVXc0LOPvMIixCYKXRKnb08+gdAm4nKP/cn0Pk4Vh 6doqP6dfwaUisx5ZlE/meGxcbc+XtLzz6IgYL1msusWAU5XqKVuP79S6fMjsghVv5O6at4QItW8o QqdhVvQJzNwwxuccEF86JsWTyPFFk4ZiE0E34cw5CwwmncXbC1fejiTFhwm6d5sG1nNyjZa8w1SC j3Kep8bqz9h84fxGRC8JXzyJwLjNm987XsPWwOLZNhdQn7keyNRkUzIZDx1MS4G6MBSOW7ehyntV 3Znd9odZuY6xQbvIqflEhuCXIHE+Gdgv2xr4xPW8TdJ0NFmZuVrv/NZtrFsMgFhYBayi8H/SJ9HE xUMPwa9JrVBWQk1GFSFUiE41qPBQY+b4lsF142/ScIDEzPw6ycTG2VKoNlKzba9pCfvCds3K5Uzq Ravx+CEZTbqTVRj70rODta4/IaKEa8uZVJCqAVJ9dfbGqVankmZS6c9IigvnTnKENXsnF7IWi/Ka ClA87FxZdjui5Vsul1kiUr83X9qsIn0VUTQaXg8XqJR2P2AHuA7dKXfVDXjm6bTIkYFpGLJ45vJ6 Jf9WX7SBFnNbfBERKjoZD1zFaUWRUHJ7NRl2eRaIHy6uCY/R87udWkmTMvdHVoj32b/lEoUrmoS+ M5y+KWObVfluAdPyHlHIqFDLWnPI4evxtL98ezpbygMp10xYL4AqYEKDtqwKMHGuvjVHPW9d7OC9 eKMxjUbrjwy9z3hrXl5n/fl0PF8OP73d0+fd4yNUyh9KqndQHuA913/aKkfR4lCV3jgi/CRIv0mp eu69tCxiy1Evtj2NgVqwKDE/u0eYQH8q25IEKf56Heli7ErS9fHySNkdJoQWCW7HcbAf4HieIVMD mg+gGCDqzePmRXujduGmF9fuaiJQESEhk4gqnRKXb4WelhyNA7S5BWUKYeiJUyfsrciQLN1lTHGa +LKFtr5o7BCgvrZlVGB6+zSGj635mS9RqB9LhDRPFqoQfO8EW+ECu/56fhvkGFO2o4saG+JstDnj cdH6vqp7P4mjivrJyuURuuL6b3DFPHYWLYAEHzC1/hkJDcwUpoXhus3ScTVl4Rtz65kukC25YPUa hGzVEVgZISz2YfRxkIeh+/qiYB/25ieIF6DQ3P6Sw8Kngi7w6qln9VBD33B5PRi1F1aU771s8XKw F7nCj7R7Jiwsuz3bwzr+FCX57FNrq+bZR76lR0aMcYRvvcas60FwaHI6Xo7b46HUxZbmwf9W/oAw FbLr0WpgA7Vhd8SGQJ3p9wlcE8g1GEqkH8SnImzZVfsCyH6TNpf2L1aeVDQ3JW/dBzfgwx67yNbn L8ACkybnaSb2o6eivFAJ8Dlu/24HQfasHwsn83XIp/ofJIiZwn88Bd+SaJlAER3hYxPvcgR+Ow88 LzjwR/1CC7y65np+bzbAu5PV1WaRpDSyAEBkPjlBAvipAVSfeDSI1gPDt/KeEgfV6e3g2tWWrQgi mozGcnBjJ7QdrOUd2ljrwqXESZBbTz+sJlkNrwauQFsTqChYuZgLykLhSqkrglDQeUxmJHUsGnN8 0oVTOfkY3lz1IG4HfQijHY0e0/pXY0qAvvTFJ77lvfDVcFRRiKCViVdDePqpfB7QOvWeNEgn/vqr cZtX92M3DY3I6uN40JQZxUX60+blBdI+PUUnp9DjPk5Wq9YDUw3vBsCiEul9SaHR/j1JWuLKA4V/ DYaDDrPaIP6PsStrkttG0n+lY15mJmI3TAAECT7sA4tkVXFEVFEF1iG9VPTILbtjZLVXas049tcv Dh44EmwrwpIrvyTuIxPITADym8N3Cpv0vu+udZBid9y11QXeGUwzbVgmcmiMGrg5fEQ497ISJS9p jeU4OW7OQZ7hTuWix5uf3AdR2Xq4Js77ktMJvL5vtfGNb2UPdeysCWjq0x+/yyXQsyQ1qdY9pYzF G6msD7BAYHrjeg8Ur3AkQkc1C4xvQTOO9MjNuLkqUoonCT8d6f6nAFMeLZZU0hjNw7SHvq0wQ55/ piXkeo1tZt+2Djsh6AL7Qt5QT+3H4yGcdJs6RwyzWNE3tawY4tdL8KHaLCi0WSwo9crga15mWvUs J/7gVESa+d/7q/Hct3lG/fqeKjpQRjzqUBHKCj+3oRcZxYhB5AJhn/ye31jmEa+cEeScFAL9NEtp q/0nV02UpWEtCSqQX3IzH1A44CtCGIsPyFYcxclfJU4lShO/xWYT++VCIayAP8d3u1Ozi0Q7GFOt jKvcSLyiaXNB//2f51HnXETYOfkrGvWwey1wymD932ZCV2jlXzh8vWVBxK4F5yVQQLvg4svjv+3j aJngKDfvG9eCcEaEd1wccqjKJtDdkMvB7AZ1gLvy91XOMxEORGKfZmCRFYTJGwViCY2kSpIYgKLZ kbeyS0mk/jS5xVLNwTnickSLxBo32ArIgnJ77riDxJJVtYd5eYGMCw2mTOBsE7aFGIxhH9NxpcpI KAebuRsqXIBrus3Fh4xgEssQyAvg8sWUEAOuoE6N9ogZg4xMCqThBjFlisc9yCu0cqztoKuI/dUJ xaZ/3i9t7ZPGQy4jfRvziMdXKTNZIrF14zoautU5QSnYHRZLiqDR5TBYA36hc5RgFAMcSzIXyt4o kOIp3uYhaLXUHKE8jxSiwPAt3Mwx5DcEGQ5KgMSA1FUOXGi9rJIjw5FUQQNGDcBNLAgoHy54lWdg t92UGfDBOk4B0u6bWAyiiWW49WiVoxYZhgOFLBxIlnClDkYilK1QQaU0EuHK51spiCZ0C32rIIa3 0HX1wkJJTgX0Na8QyRlRBVut4K6jiAnwcG/hwIngYS/t8iwpQTIwfozmWh5CZN/uM0TA8dpueBkR EyyWvoENhkYGpdqO61r49cDylW//UaVAVeQiekIYsv5V/o7lroFyms9bVrLTW1FKgXQ1kEcB92jK B91zaxssoDoMVYooAusgIYzWhrPmwDj6cfrmx1mkSDgD1gmpCSD5Bxz/EsqSbC0/zYIKONksA/YZ BRTgQq5VlRzD5p02CwHqp+ydzToIpZtlpFhPNstSsMk1BIY7cjjWalSsL4+86kmC1xfZocro2qbO m8MWow2vfPFj2WGq2w0YFTwjEDUHlxJJh2RpC4bmHc+hScdzYGx0nEFDlzOwkAzMjYG5gbOUF8DK JKlgblK+JWkESIF5ZQCgiH3FcpKBDaygFK+tpoehMgphK/xoQxNHNch5t9ZPiiOHukoCUq8B2uTQ VzyHxo8+oCqs2vd88pf3Obl3KQsIeBgqlArO1G/B/UDuW/dqu+1h2+aZ6yD68+ne9gJ0Vp/ZToRi SJCSAEsyoOvbUy+o4xYzI6LLmJQdoFEhtcosAwC1l4BzwgDKQuXclZFOl0yEre4q41qeQl+btTpZ E9EkC05iC69EKLyzyNWPgWKtwtJ0VWqXLCxjQIv0t0buOZDjUC/SJMXAAJYIJVkO7FPnqi6SBEhM ATgBp+mt7hu0uk997DIEJdpf+SjABYmK/bDagRKHRqckkz9AcgVuhjVv5Aa6tsQ0Uuw1x3nBxxLC UlFb/zi7YmhOCC6qNOcrSAFuwAbdkCJfneViGIQchWsNyHmWRdTYCmFWMwSdZi9MImcYVJwlkEMa mGwLBosk7aHEyZpEohhut8inBL8pLuRr0sKw5xXkXzfwHiVgJ2iErOepWNYaUDKAi6WiQyNb0ikC tuLLgDAC+K+M5DnZwQBDNQwUUQDHAKBMmg6OLYOoSR+9RbdYO7lcDmu7lOHJDnA1M5zvQT3YYM1+ u5b0chMxIlrQKOFCrxiCC7FREcNF60TSlVTnh3JAsKN76K+0kbR6XwVOwGLw0qrb48pnE+xSx6hJ 7jXupuIlkIoi202j2XSO4ggfDmiOKQteVveKQ69bOGzeeazB/HCji8Xu5x9fdZzceOSPbRBaQlLK amBSRS49qiC5qwZOVHCn61U0weXG0P2oHDDLk8CCz2VSRt7aJqw6giFAZp59V7knQwqSbUOLBHRz 0jB0/aiTvPU4uUU8pBWDf1e40NwTAovuOVPrVldWG+5+HuKg186M2urNTLT1mIVoSTy6X9SRmX01 OhNdl2iVwHj2BpuYWQxB3f2L2omWgVlkkNAwgogGI2hXDo0ykhL3nYh2VIXIzVZKLKJ7XmMDYR/2 OMOFX4B9m8lNSTccdMY/KDNa0VaOlKSoMnnPDsFKtH0vMuwV2L/aVjTGeqkIJxCR+gXV5CyB308w Y/SGUprD0tPIkOfeGW4A08Qf+Ypq32YvVHuDnKksDamsSHKAiClAdA9YFjIkcWh0yEjmF1rSCj/H 6eRkITcftTtBH8xpRYxkd2qGs5uwVI2lpkfc+66R5p8o+7AXTkalP9CEeC24WCo4xTy9YwlsR6PR Ax0yUNBVqGgqYMMQbZpnNwjg1JboZlKwk2nk3QcmRyJ89V5ubjR5Y8cQUiIEw+UozLsXVLRB2ccS Qm/3QVRluIV0PSlSWKg1MMsjBklj6h0/R+G+7HgJSXLKOAQl1FoGtLlIYiu0huIa/ug8NZ3BF24L Q+TAcWbACNL/pkp5ZjUW2TGssVJjYDlZFl+URguZ2JoTGtDY1HANn5Fg2ZeIXEld64Dh2kn9dmWw SYYsSUMGK91rh3BOpinhjhtOKGhzoMvj2xFpomcYpFMJbUu1+DJbY4XEsF0mIGgWLTa4wUZ0rTiV CmCsyhJEwU4ttYYioprPcGy1kWDqb3OzFhLQwuqNdED8UghNfCkvLBl8l67XyeOeGxu3W3wYT0xS QIrVcUnHPjswy5mSLvzl0zdG1kWt6oKkcDFO2hCoBwaz7XcW0xSmrMHDxZkYffJg4di2N/U82LEb zN1dwKD8dM/Gu12cue0Ps/CoQBuiV+7ea1xS4tnJtSUCjYITUIlJ7VmtR1lTUjAo7Vk/CpCgd21o UUPCVg0Ecg+D1QeXCTS7d1iwvbN4CIJz35YHSuib+Ws22FpwYXJlmYXeiq4gtqGXA2U4RyWE2esi UCS1p+fQKaDHEml2tcvhyERzmMifYQKtFjyWDGyBzuwTkUJKMMshL9mFR0n91N5THMgT6B2MZWkR hbLoV0aUB0o7ivRvNJfmAi3IPB5bfvfrtFZfWynxMOfKy8cwnOaoTfr7v8uRg9dwLg8rIkORVz2S vfRGk/Q0RXAJe8Yo3JESgZdP3r/PCwx3sVSdYquFsetbL6dkoeAKOetkQMLKOj4F794dnh5K11K/ Qmx7/tig2D7RX+SSlr2Rq+JhYEtpqIChK4fI76sjD2Os2+BZbO4XJxDBwhDYq1uQlD1AuqdMLojA vC8TcJdTkIgNAUE5yzNYDLS4uh2NvAdlMc1iEZSCVCGTrHwrnw+M4RQ6GvR48gNUU3VZiDISmZeT /vZGGRQbJm8MI6OuYbArLB0QxhABl63QJ8HH0lu8ZkqLeqvIgUJlSXn+JUfA4cv3DpLG5qSeBV25 aTcbIPVqObVY5OambkuNjE/gQPK55gle23PIwaNPE7qpTxcdokE0XVPNIR7508/Pj5OYrZ5as4/j TZlKrg+N4WzLQ9kdpQp6sRi8Sqm4UCoG9sIDKyia+VTWyrvrrTaoT7ECTX5wMVw/QGGXdfYJCxpi +vDS1s3x7jgUj01jbFW75bGAy/PPTy9p9/z1xx/hYzomnUva2e9BzjRXX7Toqu8a2Xeu2mgY1IMB MW3HcBhNh7cqvu+pPOzs0Kc6+e31MFmMj00BVcIaLItbclhFv13knHh/Vi1uSj8+kPj0+P1JlVY3 9a+Pr9qH+El7Hv8cZnJ6+t8fT99fH0pz5q/fFW55c5BjyvYyjhbOHufzjZOJtD5FrH/+8vqkInI+ fn8wrzmq/399+OtWAw+/2R//1evQzXmLvbPGhQ50tqart+d6ASHq/RDVfnZUVys97j3TaY2ToXdf rE+7ZTKYGzvY8EgxyvJg5UOwxqcm3VqCVnLWKy9+JeXfPCx/azwOvNGtyWpRjI5uwyFFXzU9xf9k aZiErBhc7RGv5Oj3jl3cJcF5nUGTHr9+ev7y5dGJ3q3h8sfPzy9yEfn0otzF/ku966aeQHiRY0y5 0v/2/Idz32mKMFzKc20rnSO5LvOUBEuFJBdy4wnITZmliAYtq+k4YOeiJ85ZliFXghDbu2qiUpLS sHsUvSMYOqEYM+8uBCdlW2Gy8RM91yUirg2rAeS+muew/rUwgOaxY4/2OBe8v/kZiuPhw30zbO8G m3v5z/WZCdxfi5nR70VRlhllzE7ZYV+2h2gScjFXrgF+wQ2ZQOSU3cA9Ic9Aj60FZ2kwsEaymm4+ tBkYKsKMJJnCZ/sznq3h70SCMCyEj6O0Y5msS0RQn9s9R+DJvI0DzaSPLPIUUgSnedlTlAbjSJPd K+AZyBNQAR7xK2ZJGiR3LQrXes2iQ4cmC4yCoXLpbwRjoGxyhSywexFjDUg1zh+daQCM7hzlQVtU N0zNYuQKD+Cwf/q6kjbOw0JrgEGHUtbEyIHaGmD9Q5ICja6BIj4kFE7tU1WHPE6dIM2CsALSA0b8 HWMoHGV7wSZzTqdl51a0Wvb5N7lo/du8F6gikgVNfO7rLJVaUBmswhoYL2WdfMI0lx3uJ8Py6UXy yKVSHdSD2ao1Mad4L4L1NpqCcR2vTw+vP74+fZuTdYQQZcKL/C1ictr2Pp0fJniSG/bXp5cf3x9+ ffryu5W03+w5SYK1llOcF8FsAwR29fhO27f1aJZoxU6P5G/q9vjb07dHWZGvctsJI32O46Qf2oPS b7pwjO1bSuNrRctlewULj6YCq7qiU/geeWHI4ZuohSFypzszEAS7WC4M4Gm0gY8XnKXAvFd0GpcM FMwin60sM8cLjeQm6WuCimaArq4nOMugfUR9BvpQWjD1e1NRC4CaYxosV5Ka42DFkdRINfP14uQ5 /Blblw6OlyIDDeoXmAZT7nhBhFEWZncRWYbjMg8fCp4kQUtocihjKzIKl3lJ7r2jpBkYkgS2cV44 EHhUNeOXBMzxApfvApRPnBKS9BUJWu1wPB4SNEF+0Sg/dqAip+FTXVY8VCBO/6DpISwBfZeVwSaj qcGaKqlpU+0AyUwidFPCUZ1HDt6WPWTbZOBmYM27QI0RtMoJd7Y6eOE1LzZJWmihOm3plIVNUr7L SQ6oSfW1yCNe8AtDtrbiSgaW5PdLxcE9zymqedtWvycW20hqdVMDSD/KEgQ8AZ7hbHxpZXpw1slm jvqytsHuBMoyZ3MMvrAUbYWVJjjo9/Csx0G9U77zYTmUq358f3357fn/nh6GixEOghMrzT8+qxqe YBpUat7IfycCZmPYsXv1QVuODjOwXTM8tGC2t6ADNiXNMxQtuoYjZi8WHxdtAvpVOUwDTlxfDx8F B1HARFaSwBkkznhMiESa6v2AHPs0G7tVOHFMWxyMOr5VLubHVHdKc+vkpxQ+OAsZ8/jR9shWpalg tiDqoEoAdozbglHkGblZ+LaSXQzvVQEbbPwYsIHWY2GRMFzgJo02+raSomgE44ydRCY/DY/4Tabn snC2fHemY0Qjc6kdCkQiU/Qk133gimPuW5KgE7xxOeOToxrJhktB2zWfcZN4T1RB65l5p+rl5ct3 FZdTLslPX15+f/j69J+Hz99evr7KL4EFNDzH1Dy7b4+///r86TsUk7V2IwwanVDSlr1mUfQsstmV vsnt9uGfPz5/VhGD/c1pu5mej16aXtIOx8F54nVrnSTOD7vLJqudryr537btupO56nKB6th/kF+V AdDyctdsutb9RHwQcFoKANNSgJ3W3HqqVMdT0+4O9+YguxnysJlydO4HJLFuts1JvTluHxVLuop2 1bW7vVs2FQVoDMwuvBIMbacLNqggrn5fOn306xQZG4jxIxM69s1BxxMHB7yqhxy9yu4kUsvRGtv+ QrlI725DShNYf5Qs0zstMXy03IPzVI9aHw9H7o6xed+3SEIWPXFiWoHDVzfJ5vHTv748//Lrq3qI s6qjj6JJ7F51pRDjOydLjgrp0m2S4BQP9rKvAS4wI7ut602hkeFCaPL+AlRWwW3XFtjW9CYicc8I FXmojziFHJsUeNntcEpwmbpJQe/FKnrJBcmK7S6B9b+xTrL3321B71zFsL8xQnM/5ePACcagUeQ8 D/wmnhNYOPorfCe0cBiXpD/BFHEQWJgAg7KAR9sLXDv7MdsF9E0QFgTwZ3NAxjJ4GnlcoHpvtVZg m7RgSikgdkggDypApGeUwjXyrFYXxHN7XNK6yBbIux7CNnWGXDs/K6dTdasOoIvjknbjvF/4xjSf vt/X3Lmp74477yWIMb1gn51SEMez+5S2OEA+WsrM6riv2rtazLtm3FLs7xTHii2FfRHbX0+ieX9v IKK/Pir/1Lv7Ypj8TN/6TjqX/P2TqH9SnA/7l++v8GMBi3TEq6gdg8JELevp5qZJdxWFs6oaoVyC Ibzvhi2HAPUi7/RcNQjqYGMxcLCDiDhQfa242FcQOsZ9hqCt+tc9nVlA3nabpjxHunDeEL10PS8D STrL5NrsdOxA9UwyVO+DVt6L9y6B2++OLWW8NQc33JbVKBx2Q5sZSp5Ra2fhDRdDq0N4WtKzocXc i3VAZ/H6/OlfgFfx9O35IMpto6IvnrUAEHwaH6hjUofmqhYFa6SpX2bDcab8TFUPRruySsii3gA1 L+d56W5Oahk6yNGt3suq9sp8Z35AQXJAcpn+sDyQBNMCNjw0HCrqBbj36owrnhHMgippOoV8R0x1 TlLhSpF916DpTYfkIk0cNU8D2vcIJOIgb338BD6IPKGFI+oo6hzC0yb6zn7me+VcBx/SzTho7z2i cj9T5tXcCzo3o2BAwQX1y6iIdki9kcgc/8WJyDK/CXWcbnoLSjLSY+HyZ56MhN9O3ktDOfjP1dhs oeDko9SvV11WCKcicUPvmMKAYY01BPoAmVFaYwbew5sGGwgt/PYOYomb4WOM4oMMhqpUtq7xRhi6 ihYIVHxMwoFPw0R2PQbm+UD/8FlDP2BNbwVB246gwp8KI2CitHgLyMPnl28P//zy/PVff0N/f5BC w8Npt9G4LP8PFfr6Qfz+9Ek9r7lv6+VlLPnjPuylGsn/bik5ugvUy4Q8aDjj9hptle4mO9Urt3Ky CtNRrwF9GCBvR9P+2tk1Oh/VWgHdy5lvF4fXuZmGb8+//OLsBIZVrs87x8TNJpu3IsPBM6JHua7v j7AtrMPIB0j4c1j2jRTGpIwwRHObhdq386v681v5ldXQXlr3nWeHYW2BmXjqZlvKne+ue0g39fPv r8oG9PvDq2nvZfgdnl6NkaYy8Pz8/MvD31S3vD5+++Xp1R97c/OfyoNom8MQ6R5j2BytQq9eK327 tfpSPUoVHdNzi40mfnMiRmptN1IdB9+bbeSqGNowK6qdiuYaX83W75zEUvIe+jKpe48+n4bq7rzU ogiBbKOI+2o4ig9QZgpVDyMdbRHYIk5q+V++vX5K/uKmGnXblJgOcT2NE0l4eP4qR8Pnx+nM0WJt D8M22hgzgzHnDj9UptbnVipTUioDe1+X9HTR2k4giCoPXlW6QAidvjIunzc/a22cv9nQj40APZNm lub4sXAb1tBvzH5jfKLXYj7EApF7JafH+QSNP5sxTyNJZDnofTEy7D9wRt1rnglSQUgL2LNm4XDj bTiAG9/bgcCV3eKYHO+Cr0+CVmS1Qq3oELbtY13AjuTnIVmI3CQdrIUOUgk7qNkciR0K1UFIFIkC DAB4igbXXMZF7tca3k0mts17gt+tVMPyzfG7InASGwEhVYPCPm6agC0nXkDpOS05NUD7UIuBuo8f 2J+CJ3cTQ8OlnvX/nD1Lc+JI0vfvVxB72o3o/gYJAeLQByEJ0FhCskpg3BeFx6a7ibGNw8Yx6/n1 m1klicqqFN27J5vMrIfqmZmVD3Z/lVvAcILSmcD3h+zeEGOO5+2wEexb/4uWRe/ieYNTNeuZ3Fnf th4NeaUmIbk0LkjgsR8nMZd2KBLM+FWHZ4bD+hG3YzqbDrnVtPPUBFvwiUOczfWDwGO2uTq1mF0O e8h1XG6Yw2Kqm2WVKuYSCOhRo6HpphGNcH96fUQC5FmmAwpuRlOm3WPOUrlKZ6Hbu4Jnqkrrnise 704gNDz9rLeOy5+1gBn3PELrJONLpyDePz6GKsyS9JYbEkT3XVw+b36okUxdv8cLXKPxfoHGZ20L SS3sjLqebi3ewQ0JmsD5z7XimdlHTnXlTKuAt0E6Hxl+5V/afkgwGnNnjV+NGa4lE9nE5b59fu35 3DYri3HIbXBcqcw+tiNEahtCvmhc+BiVzbTdoMfnzygW0dVuVXspD213UVXw3+ULyQzmdT5MrNdU m0b6p186I5s8WiqdKEjzQhm/XdzImor5bAmA0QSRl7eziwJqvlnY3oHidh3iUzqNjn0j4exXqYrq LN/GjSHAJTIRpwvkyjm+vyEBQVl/VtehTT7XL9qDj/Edbalgs4sSUaQBkX9XkefxaZaSbIl5T5IE nzDPjTeJrVHQjPUUqPizy3o9NMBlLsdvfG5XIZRyuM5ApgyW/ArEBLH4hjpP63zBRVbVCYjWREP0 qbONj2hKnAFJeV3Pbwup7g7W0EWiGME3+0suhYCm0rOCoBaM01Vso4LI9fgbH7E4UhkUNcmrVPdQ o8FXFQ22ZcKahggsLHP4SPUW14jm7XbLDvevx7fjt9Ng9fGyf/28HXyXnq26nU3nMnCZ9PxxyzK+ 7YlVXwXLRA+9G+ZoXGT+NnUDHVSpZ+TOSr7G9dX8izv0/AtkwB/plEODNEtEaHuFNsh5vo4sYPOi SIHnhPDnBaowiQgurKK2uIzJ29uPcA4XJjAIdSiYFgA19AHFbzBFs0ay63qK8QEv9KMhi5Lc9VRj Fj4N5kXYg8swkayNud4EVRyusOqCw/uu/tR2Bo5ZYC0CC36l/hJFkdFlDlHpz/dncJlvKrVGlf4k yQdvp7vvh+fvlm/t/f3+cf96fNrTfN8BnMXOxNWNZhoQdUwzyqs6n+8ej9+lxdzh++GE6auPz9Co mY4xiKY+K3kAwvVpM5eq1Btt0X8cPj8cXvcq3hlpvmsDs34RNroB9SaVb/FWQDnayZ91oXFOerm7 B7JndNb/hYFyWAtpQEyp8fjP61W8hOwY/FFo8fF8+rF/O5Dxmfn0vVBCPPbLe6tTKe32p7+Or3/K 8fn4e//6aZA8vewfZB9DdmrGsxHxKPjFGpoVLRPo7Z/3r98/BnJd4rpPQr2BeOqPPfpxEtQTErrF ts//3eLva0opVPdvx0d8CPqFCXZBqOtJ5fuzarqUv8wuNy4tZQbbHgvB88Pr8fBArEsbkFlungcl zWnd8K5KBc8M2VLUi2IZYPLE8xGyWSfAD4pCD2iJtpOLyvxdB8vMcSfeFfBGersNdh5NJiOPzW/Q UKClmzecr62KJWIasfDxqAfO0KPFn6Or/jT4SBecCHzMw6mvF8FwT9wagafrYAh8YsGLMIJV7DFN lYHvs669DV5MoqEb2C0B3HFcBh4XYsx8rFg5ztDuGNqFuv6MhY+oPpdguMtDJxgxPUP42LSQlZhq Oh2NubRyGoE/2zJF4bK9Rdu13qJVio7HntWbTehMHLuTAJ5aVrwSUURQYMrGIWhIbuTTWV5Rg3rJ Q+dZka/jdcUzWkViZMlVZut3b3/uT5wluoFpu7FLUkw7idbdC92mOonTCDhqGvFnlaFZDXLaojZy RqEpYYPTQt8w3411SAlurae4te23uiOrSArtfW6FsVPDVLO/gh/4XpXmOcky3RJCYzGcYFoV6kW8 qURnXBtoozPh2VtAr0R01cf7tlW0byw866tRwc4f93RDJGP+PDFodOdWinK8PozXi9FznWqYMArj qX4WGDgSAV7HCXeIQkDBt9cFqLNxbNRQDd9nv6yRbEPukNQImmDBPS00YaMy9sZEAhX4a55Uor4p izQF4Nr1V4T5l6NK35jPsHqxGXtDWKIhMVRc3QDrsoYBuLI2ePh4vP9zII7vr1zyEGltUedaHmUF gQ03px0QZSi/7AzMEpDaMbcx7Lhq4s0Jn8q12hUMknSe66kr2gBJ2UrTFgQYky2oM0LalCVms+X+ 6XjaYwgaRhkXZ3kVw+foL+sdDFZi86LdMWNWVaqJl6e370ztRSY0JYD8qezSl2jL049BgInVFDZt b0irmvYPTZ1vEhoMWr2J5OHgn+Lj7bR/GuTPg/DH4eVfgzc0Q/p2uNdMMxWD+ATyDIDFkSpoW2aR QatyUOH+obeYjVX+Hq/Hu4f741NfORavBIxd8dvidb9/u7973A+uj6/JdV8lPyNVFjP/n+36KrBw Enn9fvcIXevtO4vvmGy1c/WYZjBNsNHa9bs7PB6e/23Ufb5uk/UODqaNvjC4Ep1r8C8tAY0vyPDO XpTxNXs6xrsqZK3PMBpbqT0hJfrZgMmE55vFQg+qeIbV4ZwFo72uFRQc8VfIbCAVBTd2QnDmcm2p fxeCLWORylaB05A2UIrE1UnEDeMc0yCaApwWm/Qy3irDql9SzWiXXAua6aBdasQXa0C9Mq7CkjQB Ejh1LYBpCN+C+2Ltz7PAYbX4gCAJoOE3iaCmftOgMA2MdHSehc54KO2/Uh5q1qFhSE1R4OrOsVEw 0tmJKANBWOdaFGBmAPQHcLkGqqapEbLGPTh8wr6ER/tMA3+1E9HM+GnOjQLyk361C3+/coZ6hr0s HLm69XiWBVOP5HhSACMTQwO0HCSC6YR3XM8C39OfXAEwG48dO4argvNVAIY6vEuHcjaj1i6cEIWs CIOR4Xsuqivg03krDcTNgzGvovkftKDdxoHjfykzvKVVQLfUdDhzSu5bUB/oevqmnBp5M1GD2hMl DlEz3khAojhTLYnwSYPedEJ+T4bW7zpZYBoHkJUCEN3SHrRx3oCQYyhlUeypuflHlL5V8ffMMQuz gcdQ9axHfYDfM3dkFJ15XNQjRMx2lHTm9YSBgIMZhWEz1dNZNggxFLbTi1eJ0epl0UcQr7dxmhcx rJ8qDqucFZAT39MtCFY74g2IuYW9qQkw3AYQNOOET4XRnf6DnTN0DYBDEuEqiE8BJH82AojBHQq2 RFOCCdNdavKJII/NU4iYGSkdr+uvju/XZkYomQeudzrWwWbKO0FIzn0L5c7m8ToGA7vXiWrMgm+N TpwxgGCzAUeIQW9021ejkqWGvsMd9y1SN3ZqYZ4Y6oo8BXZcZ+Tb1TtDX/A5gtpiviD2NA144oiJ O7Hqg7p6siQq9HTGvn4opD/SVQ8NjKSMbtqQzjAUqhKDkWkBcJWG3tijEakWE2fYk7Ct4cB37Sz+ t09WCwwlMYhVLAnt3i9juKLSmKlTK9HIaS+PwLwbF4s/0lOMr7LQa+x7O/GtK6UUAT/2T4d7fL6R tiv0gaJKA+B9V02eWO5YlBTx17wh0VmteOIPzd8mOyZh5C4IQ+HrezYJrk3eAMTi6bAvJXEYXUrv hb1MyiRf12JZjHiHblGIERu56as/I9FuraFTdkCHh9YOCN9mQpD/js+6VMgT6GsgE+eUz3K8lBAv iracVqnOMoqiKbfazFmOxa7CYDlpszyOTJeBa6aqeW1UG+CEQVHlCuZZobFKTX/+TZI34m9qOQ0Q j3UBRIRH+BH4TYSj8Xjmov+OiC2oARgZgKHxbjieuF7ZkzoVsf7EpPetJ2YNOZs0Q64X4ZMISQTh ysxoVRLCvRUgYjqkXzadEYmyidip1eX7bBSrqMgxaAPpcyQ8z+1x/KzgHmBFAmQljIwb2cQdjdgb PdiNHcpkjH2X8gfelCQRBcDMpXcS9Hrou42PJAGPx1PHhE2JJNjAJnoAJnVNtGPRPY5fWP2dfcbD +9NTGzGI3gMqTkAdbbKMmMaZOKU94GxjLMpOG0Iej0kXmrg1mCXg+f6je9L/G10Uo0j8VqRpqyZU utwlPoPfnY6vv0WHt9Pr4Y93NHwgBgVjl8YJvFROGUT/uHvbf06BbP8wSI/Hl8E/od1/Db51/XrT +qW3tQCO1zgrADR12MPwv23mHLvm4vCQs+/7x+vx7f74sh+8ddfrWUgQzmRIRRkEOSMGZBwnUvHD bqcg2pXCo6Mwz5ZOT/SSxS4QLrDpfdkSi81oaGdTpIf/8rbMe1QYEtWv4ZBoRsGRVMuREbG5f0TV rbu/ezz90JiYFvp6GpR3p/0gOz4fTnQCFrHnEVMnCfDI8TIamjIMQkjQRbYRDan3S/Xq/enwcDh9 aGviPLWZO3K4Yz9aVfo5tEJ2nApCq0q4Li/ir6pND0YkU15zggiXzIDVbXWKwT4+oTfz0/7u7f1V Bbl+h2GwljrR8DWgiQ3S4/E2IMpHJs7E+m3ylRJGGJXFLhf+VO9CC6FlO6ipT8t2E34Ik/W2TsLM g/3Yn3aUEPF8AJLAfpvI/Ua05jqCcgk6qqdWtdNSkU0isbN2YANnGb4WxzF8XbkRufUurAa9ApxX 6h6rQ88XlXIal2GCmPPz96gW5HIOog1qIfQ1hVEE6Y2QjjCPBndyFpGYjcgiRciMrLaVMzXOVoD4 /NkaZiPX8flFgziWxQEECbMBvyd6qkz8PaGWLMvCDQo+W4JCwfcOh/ojCSajd2AotCO34/xF6s6G upqGYvR4nxLiUP/R30XguHwisaIcjl2icSqNqHXpFmbL6zEJhrPX8/gUcg1K4/XXeWDaEOVFNeqL LF1Ap2VUFY7VFYnj6BG78Len65Srq9HIMXTK9WabCNbhsQrFyHOIPCFBrLtsO/gVDLXh/ytBbJpJ xEz19xsAeGPdLGojxo7vauZt23Cd0tihCqJrELdxlk6GRtxrCZv2RKhPJ/z7z1eYC9dt5r6NvEy2 ubLxv/v+vD8p/TpzAFz5s6kuOeJv/fK4Gs6I+q95/cmC5ZoFsm9FEkGTaAfLEfF1zLJwNHY9+/FH luU5n7a9S2iGMWqXwyoLx7436kXQTzGRxtXWossMVnH/FWaQWfbSrbcFN2lqOjEd9cvjniZukgqP DVGsEMKGy7h/PDxbK0G7dxi8JGjDjQw+o5ns8wOIYs972nqyruKy3BQV/woswx9oqK5RvurmznoG rlAlg3n+/v4I/78c3w7SKNxayPI49uoiF3Q//LwKImu8HE9w2x6Yl+Oxqx8GkXBoNGQQoklyLAmg XtwK1BP0GkRsuDB4BbxHA0sDYGwCHOOGrop06Jhe04YUYHwrOw4wJycazisrZmYO0t6aVWklj2Ja FWBmmCNoXgwnw4zkiptnhcseelG6gqOS2FNHBTAw/Nm5KthwnklYOIZIUqSOMzZ/m4xiA+V5RECO aB1iPKH5XhWkRw5skPSUBNhoah1sRRkL+7iTUJYHVRhSczX2qI5qVbjDCX9mfS0CYLMm7Ixb03rm Np/Rmt6ebTGajcZfzDuLEDcL5vjvwxOKSrh7Hw5vyjPD3vjIP5ksUBIFJUahjOttT8jwucOzjgVx UCsX6Caiu/6KcqFLt2I3M7mW3awvWDCW5bY4cgnUY3ibjkfpcNctwG60L47J/+A6MePVH+hTQVUH P6lWXRP7pxdUSLHbXB7QwwDuhzjTDFBRczmjIc3gnEyyulrFZZaH+aZIubBaWbqbDSeUA1SwET/j VQbsPfcMKxHaJqvgrqLLSUJczkYdVRmOPyZ+RNwodKtLz2ANP9S9SEGG9yOCgiqL03qVhlFoV7EQ ab2oDGAz2hQoI+nR12nZB2lEZ9k7JuW1TIBhh40GDNqm6hJivUh0k5YgQvNSoNO2UiLCLbIJOk+l zPeKNKECsNly13ARhFc1SeQt4jKB5pMiD6tAM5SAIy+uaEJcgpmXYSaqefNUaGKRm0nr5Y0Jr5Im ZFwrVxer24F4/+NN2gSeR2gZr6FfMFkrzYpPA8qkXHBz6eh5mNVX+TrAILluU/I8T1Cm8eavq7ws 4zUXfVWnii7UIBLg1TjxnRAF6VZToCAKl1qS7fzsGjtp1p4lOxi07st4GRHoil1Qu/46q1ci4W5C QoODYTaUh3Ga43tZGZmx3tuDkkxLV3F+E5ck332mW0vCjzotuqfCYv+KEUXkCfukdJKcY/Qlsm7x BOKL5TnW7p11VOYJietsupJFgaZzagOP6T/NY6QBoh2EiIIuTNnqZnB6vbuXV62dSUFUnD+62gmV 5gzSQuolC83EhirXGnhR8fq6Bt2eemdNqd3ZthB6x1F1lLRmL0o4Bqxna61MnS3LjliYElxH0Vgl 8GxeR5WEsWcpODtsFoSrXe5eqmReJtFSf0NVHVuUcfw1trBNpwoMU6guRd0REOsr42WiW8/kCx4u gdEitSH1Ioutr2ng+FV9X9KSmH0myL5u1MFCc0xYiIT8kBGO0aWoyQmuYbJAVE1kRxax2sxZuBlI G1FwpJPgoBI2j9E0mrv1MT4yzMDurF/VpG0uIAvI5sBVLaczNjlxgxWOp1vZIJR+HEIaPxFOzGes 43X3DvyFd6dRqUiTjN6oAFCGVGFVpnSHl/D/mqQdgbWIcG04qwyd/qNIT9t79mep4JCFI7ja6F5g mQpvcZYjVSD7SPcTWBwegZ+SBzoZ2m2A3D5w+guB9pKCtRVHXC4SGOZQ+6J4h3Eb9IOzhdRzdPip acqTJI3REepKSQgau7qO0JTsllDwnYCLtbyFk5CGMwHEFjgDNuzmQnQJZ84Srx16ppsjiWmD1LZ1 BHYd15u84sNxB5sqXwivXvAaZIWu2WCWC2i31scz3AiShl4GSVkQZ8UcPj0Nbo0KG0//+x8kIw+w auGKHlEKZIfq1Nz6ZSXqSn/bvz8cB99gKTErSXotsd+l/JlWSRoB43X+nqu4XOtfa9zCQRmu6lUA Gy5ZBusKOb9gSXwf8Y8cSyLk2Z08byOh4hWp0EB0HEsMuGPNzNncVa48/vt+XyyESyauhTT38tCC 38B6jU3XkDMWo6/gmqaLTuHFJssCNsZnV34XVBVXr76JjVoXaO8Vbnq2kaJBN17UhaDtWi63obAr +pomXHJkhUy/5naJEh372EFv8Jt5sr6AD2VypHW+5hgXnaQok7w0whzreAx289N2FsE235TwISwl dLV/DYVlkPFRbPOsXccEglGe0YXoFoNGm0iYBAU970BR9RkdrlO+S5t1EsJXsVufXBnK/G9///6K +hMrFNhVfKs7h8Av4FiuNzE6fzeHTtvJuBQJbL91hWQlnPVkEVXlBpCRrIIZqeYGaAj0gvC7jlaY xKoM5NJkvxep5GmehBeo2p1QR1kspPBageTJR0dtadmJlZ7bqwAErTV0Ga8VTDAGvCpcc439dEdp EF1AwRpMU1wbl2jwsBQFzR+Dwf6TUNLgWlb5xDg1cRME6jwOgR6YXmRf/oEWVA/Hv54/fdw93X16 PN49vByeP73dfdtDPYeHTxjP+TuulU9/vHz7h1o+V/vX5/2jTEO2lxrL8zL6v3PujsEBpMDD3ePh 7ztqxxWG8jrAGxTYFhAh1knVxuvWrgWO6mtcEmOGBGMqoDIETw0qb3UoGGMuGngfKTbRTwebVU66 FiWd5T8UKQoxNJ66lumPHaMW3T/Enf2tuYe7gcONlbccefj68XLCjO6v+wGI5CqjqzYXkhguU53F a4BBugyIObUOdm14HEQs0CYVV2FSrPQr00DYRWAtrFigTVqS2GodjCVsZ8fueG9Pgr7OXxWFTQ1A uwa8gG3ScwA+Fk70PxRVR4kI5sB1W2EW+wrEuwqE7L6ojA3xepOmVm8QaPdd/mGmf1Ot4Ki34PF6 qRJKKn70/Y/Hw/3nP/cfg3u5XL9jBq4Pa5WWJOyZgkX2qohDpsEwWjHjB9xgJHj+v/2wTbmN3fHY mVl8efB++oHve/d3p/3DIH6Wfccn1b8Opx+D4O3teH+QqOjudGd9TBhmTIeWIad9aous4AoO3GGR p7eNRYq525YJxva191V8nWyZQVkFcFRt23mYS3Pap+ODLm20bc9DprvhguMRW2RVckUurbg4nDNF 0vLm0hTli/kldAFd729xV9kHHzAXN2Vg79v1qn/kMaxktcnsMQY2uxvgFebl7hnfLLBX7YoD7tRU UOD2P5Udy3LbOPJXUnPaw24qtpVM9pADSEISI74MkqbsC8txtB5Vxo7Lj6n5/O3Gg2wATW32ZKu7 iTf6DcBQuuD14eU1rkGlF+fsJCLixAjtLe8Nv0sKsZPnJxaAIYjHFyrszj5k+ZrbAFv+IlM3mUsT UGYrBsbQ5bDotX+eGwpV4jVSy9UjnubwzeDzj5/48i7Oudii25dbeiXWDDSlReCPZ4ws3YqLGFhe MK0B7VfKpOacMpai26jgHLBFDM1HPxHPKBfHpz+8/JCJDzHahGzNhRRh0aICY+uk0BIq5Y6gTKus Hvx7mgIE896QW4iilEWRc87IicJce7X0fdux1/nM6HgeM2Zw1vovU8NuK24EF3J1UyqKVpzHK9KJ Cm4VSHmqQKka722eaUWtmLI6eVJ4dkMdPgls1s3PhyfMmPDNAjc860J0kqkssNV95OcVt2yLmxML B5DbmJPetN30lp+6ffz+8+Fd9fbw7fDszpkc/dNy0ypu8zFtFOvydF1TySa4r5hiWG5vMJzyqzFp F+uLiIiAX3O0gCTGgalNShRpsFrWodnw5/HbM75D/vzz7fX4yIgtTLHmdrtOvTbs3wV8T9GwOLOG yefR7E5EJyYZaSYd7mRbZjIWze1bhDuRBOppfiO/nJ0iOVU9EW3LHZ2Vv9NdXpAh24FhR1c2scLL mYqwRqsOWzbjscYPqxMzgaTTBVQxCt8A3Xt3rxBkmoLk4htXFvUmT8fNnv+S4MOUEtFel/jwOGDR ndRd00v9CLLpk8LStH3ik+0/fvj3mEplPVHSxl6Im2yXtp/RY3mFWCxjopj9fUDzu7sjnonemB2J pyH+o42NF/0w4Mvx/tGk19z9cbj7cXy898LY2jVO3XCKD8dYQtiI+BJdO3nz5i5EFJpb4H9ffvuN RBh+oYGuyCSvhLrGYam69ZfpcMYSsynAWBRq1K59z1mIiTB8t5IclB28SdyLNKiMbj6ovpRg0JaJ d+O48TvSbJgpZUW/bFz6z0CANgvrE9gru/TTM28XpuOk+RJY3vWjJ3LTi0CaAWB6R2FB4moSWKgy ueYfDPFI+KO1lkSoQbCvOBo8jK3X2E+e6p36v+izmXkyGSEzAbFWY1MDpjyry4XOWxoQ/VNIYy4L oZgjEMIxroGizioZFDqrHq7BNzVTMkK5krU+wdKv+JaApsGQazBHv78ZvWiy+T3u/fPhFqqTfBo+ k9WS5II92W2xQpVRVQDrtrBdmPrwSmb2bguDTtKvUWn+KwJzj2HASsEi9jcL9Kt4rzK+eZAh2djW Re2/xkSgWCrdsEka5PaoK1GMnSeMRNvWaQ4840rCACnhefxb5Bc0UcmA9AMjJXUxIDyj3dZhU4CM IsvU2I2fVt62y/SNT2khlIQ1tNWqnY+t6soh8KIrj2fpcpt88WnHdlOYASTjWtSJ/2vak2Q7Fzdj J+hZPHWJig3hpWXjv1EAP9YZKaLOM50kA8YqGcl1Db2Int3U0M9/0xnTIAwaQOO8DA0M/VQb2maS eh0InnAt5bWSZgT9+IeTuhr69Hx8fP1hUpIfDi/3cXAN/sA6w9yITQGyqZicz78vUlz2uey+rKbB szpCVMKKSv4yqVFhkUpVIozI2i4vNnayz45/Hv71enywwvtFk94Z+DPp2rykcClpG4IN92n3dNmj Nb2VNOK1VtDGcRCq8p4xwelqYG9hUp8f4VdSZLo0QPLHHSTm3cI2q9oOFjEbF8O2trA+MARe5m0p OrrTQ4xu3lhX9D0zU8a6VilemVuZD0SR4zGt8yTYx4OAVWl62tSaj7ThCFi4t0tJFYMUO311ZPAM 8Kx+/eqc6UnTtuzxzi3l7PDt7V7f+58/vrw+v+FZWz9zS6ASDZqgulwcTz+hxcE0HxnGYCJiMgxh aMoSU6lOVGILtBG/iX1q7gtDvdtkyRJ8vNzjJaDNznO1IGYhCaAVFTvYvzR8fsMxS4ZaNwaKqSyO rdiQ4FTYzDgwBowhG7xxyHdEmVIQr9k1n2yMX9dD5RsVPhpWX1tXgSrN1AK7j3uiasrxMZTDPuxn nXyFPdUugBlJ4uPXnsT1cfo66cWSh1rt4gFzWJX2ml0sLjdHCDsPNl6c5udTWTbnmPJZWG1bCM5d rhepXSWgLBSw1eMmO8wyO9Mh7L41yVWzOAB+m1mkrDLDfv/3FF6VY7PpsDthZ6/KGKLjD2FS2oRU XKdJNaB1b6IJrOqy7G26bIQ0NwPrODtRPkzGwE7ArmU8LQaL6wH1gKoGqrzDZ7FQwZKtl3wWbcVg qLfmTIcJtyDRu/rn08s/3+ENMG9PhvFubx/v/cQ6fLkc0wLqumHT6ygeEzp76b0zl6d6rdc9Pj83 z2+97jDZsm9O3eBoUOO2h653ot3RATXpCRNqquTsfKodH2HBWzhLQqZbRFTlJRLbE7IZhkt8YyLd ZjWfq3h6RE0GE0i4728o1ii7nJMjGLQ/hdjJnZT+OTfL54DZlM10izK2gHD4f7w8HR8xUAqNe3h7 Pfx9gH8Or3fv37+nL95j3qwuTr9+E2mujcK3E+c0Wg+sxGAKqIAlBmm2Go75P4tbCi2LvpN7Ge0a d4N/tJt48mEwGGBb9dAIeszB1jS0JvvSg+oWBsYDwjLZxNzBIk5IHTDhSlQ9CumTRcXgOKNNMz03 6VeP54Uw3TowO+dOcobB/zH1rsBO4Z20wB8CrqY5sEbSUdCKJaYd9RXGZYBTG4/HYk93RtYw8sEg gGOClGjjc2xmU/0wCsv329fbd6ip3KF/jpgodjjzWBQ3HLCNNo9JyvMEspaQYFqLTqALDk/H534y 1Mm2+eWnCkap6nJz4YiJ0qQ9qzSZvZSSaEuwBGaTAtQAkPDrcdG9hhT060Ui0I9GfetmREaIUJXQ tsnEa8/PKN4tEwKSly4JmZ5G9Xoe7N5LazkobTPMpVV1YyrwshaviBVzGrtRotku0JjFX2o1CYYC Ha4BCZ4b1B1HSm3zkJViCsXjpOEQmIJTn3tpgz5MvtZ32Gn64I1NUNz23dgOORp0YfNJUda+aAfq nrEyAd0Ziy336nOug7AiS8j4MiLegBIV14f7hj1psDBlS7M1nxhwBPbpWt42MGqj+Zo7M6xnxY4N 7I/NhqqLMFignKyjtk30UaOMrrpY3XYoRBd31bTCLqx4NbWVaNotfUQuQDizOpjyBDgxrBQ7PlGG qYOLCliewBiL+SA8ihmSw9rnCN3eva4EijtzEyORHtdVt42gpudmxefVV8/fNS/TMZFQXSl8Q4iu +ImAbbqrRRTostQHL1g6NxGdAD7ZLPI/Ui8lZfuK2yji1q3AiygXMr51gjdG/sBEiGTg8/Hl7i9P VlB/Xnd4eUUxj6pm+vOvw/Pt/YHq77seDAamR07kocOtVnYivEN+TckTEa/nWrPL5fK8vasV9qme U8bcLq1p3p+xgcDyAbDbvV5YF+m5SQN+rjmRUUhdEsOsle4y9tgs0mttAswUyuw0vMwr/cR3APYp E6c1aQUtWCkqQVd8LM6pR39hGXrO/KBYo3J+WjFuCd3CrdxnfRm12ziYTTJ+GyPblCZeaOgOwB09 nKihU1SUApO8C3z4DqzfxVsa+77Ps+ijvQ5T8Hsd8XgWbQ0ycKlQhVE65xvwP13I3tO4PPOOK6/z KsP289yHfrjOVQmKsgyGpM9kIcIhhW2fgpCIJ0dHivNoDcrSQmdXpyxjDc9Py+c5RZS7b8ID/wXJ vDocgzoBAA== --===============3830241756710702317==--