From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Date: Sun, 26 Mar 2017 07:44:42 +0000 Subject: Re: [PATCH v3 3/7] x86: Implement memset16, memset32 & memset64 Message-Id: <201703261513.GU5jiBgq%fengguang.wu@intel.com> MIME-Version: 1 Content-Type: multipart/mixed; boundary="/9DWx/yDrRhgMJTb" List-Id: References: <20170324161318.18718-4-willy@infradead.org> In-Reply-To: <20170324161318.18718-4-willy@infradead.org> To: linux-fbdev@vger.kernel.org --/9DWx/yDrRhgMJTb Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Matthew, [auto build test ERROR on linus/master] [also build test ERROR on v4.11-rc3 next-20170324] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Matthew-Wilcox/Add-memsetN-functions/20170326-140108 config: i386-randconfig-x077-201713 (attached as .config) compiler: gcc-6 (Debian 6.2.0-3) 6.2.0 20160901 reproduce: # save the attached .config to linux build tree make ARCH=i386 All errors (new ones prefixed by >>): >> lib/string.c:733:7: error: redefinition of 'memset32' void *memset32(uint32_t *s, uint32_t v, size_t count) ^~~~~~~~ In file included from arch/x86/include/asm/string.h:2:0, from include/linux/string.h:18, from lib/string.c:23: arch/x86/include/asm/string_32.h:347:21: note: previous definition of 'memset32' was here static inline void *memset32(uint32_t *s, uint32_t v, size_t n) ^~~~~~~~ vim +/memset32 +733 lib/string.c 9114f9de Matthew Wilcox 2017-03-24 717 return s; 9114f9de Matthew Wilcox 2017-03-24 718 } 9114f9de Matthew Wilcox 2017-03-24 719 EXPORT_SYMBOL(memset16); 9114f9de Matthew Wilcox 2017-03-24 720 #endif 9114f9de Matthew Wilcox 2017-03-24 721 9114f9de Matthew Wilcox 2017-03-24 722 #ifndef __HAVE_ARCH_MEMSET32 9114f9de Matthew Wilcox 2017-03-24 723 /** 9114f9de Matthew Wilcox 2017-03-24 724 * memset32() - Fill a memory area with a uint32_t 9114f9de Matthew Wilcox 2017-03-24 725 * @s: Pointer to the start of the area. 9114f9de Matthew Wilcox 2017-03-24 726 * @v: The value to fill the area with 9114f9de Matthew Wilcox 2017-03-24 727 * @count: The number of values to store 9114f9de Matthew Wilcox 2017-03-24 728 * 9114f9de Matthew Wilcox 2017-03-24 729 * Differs from memset() in that it fills with a uint32_t instead 9114f9de Matthew Wilcox 2017-03-24 730 * of a byte. Remember that @count is the number of uint32_ts to 9114f9de Matthew Wilcox 2017-03-24 731 * store, not the number of bytes. 9114f9de Matthew Wilcox 2017-03-24 732 */ 9114f9de Matthew Wilcox 2017-03-24 @733 void *memset32(uint32_t *s, uint32_t v, size_t count) 9114f9de Matthew Wilcox 2017-03-24 734 { 9114f9de Matthew Wilcox 2017-03-24 735 uint32_t *xs = s; 9114f9de Matthew Wilcox 2017-03-24 736 9114f9de Matthew Wilcox 2017-03-24 737 while (count--) 9114f9de Matthew Wilcox 2017-03-24 738 *xs++ = v; 9114f9de Matthew Wilcox 2017-03-24 739 return s; 9114f9de Matthew Wilcox 2017-03-24 740 } 9114f9de Matthew Wilcox 2017-03-24 741 EXPORT_SYMBOL(memset32); :::::: The code at line 733 was first introduced by commit :::::: 9114f9de5005f9468370ed1cb1b5b841b10d3bad Add multibyte memset functions :::::: TO: Matthew Wilcox :::::: CC: 0day robot --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --/9DWx/yDrRhgMJTb Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICP1l11gAAy5jb25maWcAlDxNc+O2kvf8CtW8Pbx3SMZf40xqyweQBCU8EQQHACXZF5bj 0Uxc8diztpyX7K/fboAUAbDp1OYwMdGN7/7uhv7xwz8W7PXw9O32cH93+/Dw1+Lr/nH/fHvY f158uX/Y//eiUIta2QUvhP0JkKv7x9c/39+ff7xcXPx0evrTyY/Pd+eL9f75cf+wyJ8ev9x/ fYXu90+PP/wD0HNVl2LZXV5kwi7uXxaPT4fFy/7wQ9+++3jZnZ9d/RV8jx+iNla3uRWq7gqe q4LrEaha27S2K5WWzF692z98OT/7EZf1bsBgOl9Bv9J/Xr27fb777f2fHy/f37lVvrhNdJ/3 X/z3sV+l8nXBm860TaO0Hac0luVrq1nOpzAp2/HDzSwlazpdFx3s3HRS1Fcf34Kz3dXpJY2Q K9kw+7fjRGjRcDXnRVdI1iEq7MLyca0OZpYOXPF6aVcjbMlrrkXeCcMQPgVk7XLauNpysVzZ 9DjYdbdiG941eVcW+QjVW8Nlt8tXS1YUHauWSgu7ktNxc1aJTMPi4VIrdp2Mv2Kmy5u20wDb UTCWr3hXiRouT9wEB+AWZbhtm67h2o3BNGfJCQ0gLjP4KoU2tstXbb2ewWvYktNofkUi47pm jrQbZYzIKp6gmNY0HK51Brxlte1WLczSSLjAFayZwnCHxyqHaatsMocjY9OpxgoJx1IA08EZ iXo5h1lwuHS3PVYBp0SsC6zcVezmuluaue5to1XGA3Apdh1nurqG707y4N6bpWWwb6DKDa/M 1fnQfmRpuE0DrP/+4f7X99+ePr8+7F/e/1dbM8mRCjgz/P1PCW/D/7xMUTpYg9Cfuq3SwSVl ragKOBLe8Z1fhYnY3a6ARPCwSgX/dJYZ7Owk3tLJzweUcq/foWUYUas1rzvYpJFNKOOE7Xi9 gWPC/Uhhr87PjqvVcPeOrwXc/7t3ozzt2zrLDSVW4WJYteHaAH1hP6K5Y61VCResgSZ51S1v RENDMoCc0aDqJhQQIWR3M9djZv7q5gIAx70Gqwq3msLd2t5CwBW+Bd/dvN1bEQcdrXikT9ZW wJzKWCTGq3f/fHx63P8ruD6zZfRezLXZiCYnYSAIgFfkp5a3nETw5AI8pPR1xyxoqxWx5HLF 6sKJk2PH1nAQreSYrC1Ixe3uy7G2w4B1A2lVAw8AQy1eXn99+evlsP828sBRnwC/OTlAqBoA mZXa0pB8FVImthRKMlCJRJuXVDEErIUcZJzn3kjImYZpwxFpbMvREjCqhT4gTG2+KlQqFkOU gllGd96A5ipQcVUM9cF1XhE7d9JmMx5kqv1wPJCEtTVvAtFC6Fjx79ZYAk8qFMGFtwDcVdn7 b/vnF+q2VjeozYQqRB4SS60QIoCECLJwwBB7BaYASGPjtqdN2MXbh0373t6+/L44wDoWt4+f Fy+H28PL4vbu7un18XD/+HVckBX52uvnPFdtbf0FHqfCC3aHOIJJks5MgdSXc2AWQLUkEkp0 tJSmK9Z5uzDT02o057KxHYAD2yYHi2EHpxhakR4jngkxiePE/rCKqkKBL1Udj1yyGqzgQF+M jaA0WYkW4DgNrM8hOAN2Zq5MqZBssGndq7oGKOHqdILc22IfTk7GqRBYqzzDuyImcroVzNT6 LLAexLo30yct7q7G5krhCCUICVHaq9Ofx/MXtV13hpU8xTmPhFYLFoDX6GAQFp51ArZdatU2 AYs5Q87RU+h9gJDNI+LLqnXfl9ixB/gJA8uHCd2RkLw0XQZSeisKZ46PJ2vDDvMzNaIw6Z46 7U34UV345hII44ZrarAGFEMobvAmcOweMpmh4BuRc2IOwE85LVkw1yUxnBfgo3ZU+foIBGlL a8EVz9eNAmpAuQOGHimnQC+DyM9DS7QF4VmbRC9qaCL64yHUQd+a2+jb0xaaWG610SauTYlm NAiMHORwQW4CvZhrineAzOCUndmoA4px30zCwF7lBEafLhKDDhoGO26cr5g3jwA2Yxq5Xmoe dEHsYFwp2rBwQ95G/enr/45Gen70R1BjO+JAN79OaCtBQ7eOmBA1qg0UKsjHGlahivDuvWQQ xWkQfvAdQX7nvHGOmpOcSZ8mN80allgxi2sMPIimDBfrtQCxvGRSCZajQLoL1gGemwQl0U1s A09KY3NIY7j0HkLRr7MlvU4ex1sDsrmWEQ8MbV0yEIGQGVW1YOXATmnJf0TNwDdzNG7Fhofy BWV4+t3VUoSeWaAjeFUCGYWe7/x94JRlGx5fCYsNQgW8UdHhimXNqjJgMndcYYOzuFzDqAea 8o1jN6vIw2Ui8IBYsRGwxL5zKJeAGpxHEU7d5KL71Aq9DhBh7IxpLRzxjJSHEYuC1BaegmH0 7mhYjt5GfnpyMTF++jhfs3/+8vT87fbxbr/gf+wfwWBjYLrlaLKBNRlYRfTgfRABgbC7biNd LIFY4Ub63oMGDkVs1WaEisBWp5177lA1pXX6UJlz+YO+LKMuDYZM0ZzWxPBDp0FPKznnzFku nabqwOsWpchdxIfiR61KUSUGrfKtlFBzNzfAg6Bo34Is48k1HO/frWzABck4zch9aIaEuflc EBfkADAGKrccLei5tfESdivw5to67pF4UHj/aBGCuQ6WOfjFiYAVwN4YtoTF2QS0TmNJvlVz SwJAWdAdfCuGZkpKxEfiZ/R7HepKqXUCxEAqfFuxbFVL+GoGLgG9p94LJUKVYFr1XjwR0QPT 4RqsF3QYnU5w0axkCZovQRzXhY9Y9+fesSbdR15Riwe81Hd2sNUWGIYzb1slMCl2cMEj2Lg1 pPoVzSm4nVbX4B9Y4IdQzaXCiDh3ByUGHgSJ7jdctDIlI3d+IwNMTt3fs3cfctlgODodoadi f+LOL0iP0/fzYbYZWKHamViuaMC2dkGIIXBH7MDwHGVXB0we+SNz7a7nEiylpmqXIrZug+Y5 LgYMd6LIfByDpon9FQMpQZviwMXXqRWXYMAFtxXTtHE/wYbrULGjPzm0rbArkC6eNkqNpn8q ZKahgxmWrzFQxPvQO0EDnpwwLA9KLSBCqYq2AiGD4g6tFk3QoPEQp1CmKYpp0ihB4DuQzqRQ iXt9jK9YNddDONtWEYEEG2KGCiViXihrE8kCDnUNIh3Oest06IYq8PrBqOrzGucTAHOZvog2 GgwkBLqkLN9QT26lmz7Fla/pcCbiKGfOs2qI3urt7v+FPER4iRMZZbgFWW+DTgGvzoPS7p5q ehyfXcjV5sdfb1/2nxe/e1vs+/PTl/uHKFCGSP34xNgOOhgKieOQwshzcUg+8epc3IIjL/4t 6nlH+YMhxkX3cyq6eqXpleqKI+uFJiDLMAUT+LZwZmjVhxzuLH+DJuZVEKTqGZJY0cCqLmJW gYJvAz7O+nDRcZwqK1g546mb3Ajg9E8tD6Nqgw+fmSXZWIls2g46lS+1sNdp0AmBN8BxlH3v glKycElPp1p0PPA2s5OGznyatslP6YrQfi9N3GpAO6qGHbMAze3z4R4rARb2r+/70Ctg2grn UoPTg2595EIx8OjqEYfiMvBdj/DIYjbl2x0liBm6KxjpWrzZWbI86jo0m0IZekyMNBfCrCc2 99BV1LAT02bEsOBLw4KMS6sS4BZ6gnzl4/gjrCokvR4EuKujvJyloDuBoNPhedOuTjtzY0GY AFj8zfPlpaB2iimxy48UJCDtFITkKD+hlzxp2wjAVgONCrUwd7/tMXkc+q1C+QherVSYcOpb C1CWOPMUkpefYj/XpwKHDuTJDEjQlziVARqvZGjt57169/j09P0YQINdzi+Vmfo0oqPaF0U0 YCK1dRwNj3P3zCr0O7TcJhho1Li0ZOGGcZmveRS9TRD6CPRRbDw/3e1fXp6eFwcQGy4n9GV/ e3h9DkUIirwuCWiDZzVTYlRyBl4H92HfcWIHwpTcAMd0euiygWVSChNUxKAYBp1dgOKLh+E7 C0YNFoCMkafjwhBhGIskAUTwQ1eNoU0cRGFyHL8PtlNWGUpBmYmIOl1L6tbhmLrIz89Od3Hj 8cr7ZHLJRNWGYba+2EOAhIpuwNEcUIn1dnbnnEEyubC6Bq9tIwyY8MtYPwI7M2TSKBrVt82K r/VGHscZZc5GHlUVeaiV6+I70jn3Yd43EospapJRAgM2U8r6wN9oflx8vCRnlB/eAFhDlwYg TModpWIuXUXdiAm2txWtFIIe6Ah+G04HvAboBQ1dz2xs/fNM+0e6PdetUbQslc5X4DM6SG5F jSUE+cxCevA5nZORvGIz4y45GMHL3ekb0K6inQyZX4N6nT3vjWD5eUfXtTjgzNlhVHymF4rx WRHTG9wzctQxM6ZO+nI6n2D9EKJUpwksGr4B3wKkbU0KLkRAPeGQXBrPtDKWOcAAcUMfV7m8 SJvVJm5BW0u20vmUJdiB1XW8bicncltJExjJiAyy0MvmaTPI42ljDjzAWmIQFz2Q3LKo4nXV cHsM1Q7aPYx8ma1QUeWeUFK23YpXTdindnWH5uo0EF59SQKGXGjp1iNsVAVijWkq49jjBOK5 7+REYarl8FCaWfKRcQLPqbTae/YypghvCARZhm9Pj/eHp2fv5o4bCMKFXn+2dZ5kfN9A1qwh k2MTxDwpmg0xnFJW2/AuHB/wJcuvu40MK5rjL0Q7vcyEjZu4aUqxC2nEKmCmLLJ1xMf1zCFr juoGRojKGMBw0wpLqCNlMDT6bZIeyoAR0frYjLEbJxXKKHDubtskRwL0KSJPr1ZYHgSakQ7q eNgFGdzzsMuLwJpxlRqqLLEy4eTP/MT/l/SIV9SwNBTbrK7hSotCd9bnOxK4C5DPg0uwzmCW jteMqOh1Pvg8mFc8HyL/GIUIRY6okKCqwaDCkrKWXx1392bfYVGS1S2L88THFXkYVS7oO8ej dU4H+H6BVzIOh/wiAlHtkwRcZrFtFDX3g4YD+iMXJme6ILr32xXoK6duqxu6N7x8nS4OTzm+ TQXmamPdEpwIvYim93c1oCGzW3IVGeYwk/glphnzuXCCWGoWe61vEF8G0jZkMG+UKgy/Rhav kcRUg7fo4sC+PrDQVxcnv8QPDuat/sAGCiF05RwRJKcqcMJq+XVkG+cVB7WARgSVUUiKmIAf Jz7BFFpSgT6EwjqZufp57HLTKEXxwU3WBgLwxsih/H3UL329OhxyQ7sIQy/HHoGb2Qc5XRn8 kPCcc8LhLrnWcR7KFdVE2gHziw6CWco1vRrvoW0meR0nGJFrvAqblc2NnTPinO3WZeB2YnWG bpuUOREJeRN9JjkQ1YjqB5jVbwYcR4zMbq8uj6wKVi2wqmyrhKWk1Tr+6gyD0xI3fLZ9YPme bUYpm6A5Ksd0FRpfA/JpuNaGpQoC7FsDlIJ2CouL/hzYJ38SZzyihjFUAJZveKa8FJR084nB SDLedKcnJ5RSvenOPpwkqOcxajIKPcwVDJMGBVYay3fp0CDfccpkzDUzqySZiyJS5KAIgYU0 6vnTXs2HpXMqZ44VKdtu6O/SudD/LOnel4ZsCkMXtg1Bx4wWE6B6RXndVYWdlmuF6qSn+RXw QOVCMt7iffrP/nkBFu/t1/23/ePBBb9Y3ojF03cMpAcBsD6NFijf/r3QGE0btgzquOI8ogFo w8yNa6eNZdlt2Zq7SB11jDIZbS4uA6CoymD7yRvLQVJv4JzxnPIwn4hfgzXtbtVMkjI+yYmP zvpMIHZpwkdmrqWvx/HzO4veBA/5gvzDUACxJCNXfqz0RP2cYBWXxs8w11PzTac2IMNFwcPH XfFIPH9DcTkMlm4vYxYsw+u0tbU2yXRg8wZmpx60OGDJph0KRUpkB3M+teZwtVF5z3Ai3GCU L/WhErAoqlngZDGikXS8JBmULZcgnhldm+Bw7YprGVZr+A21xiogagNsXKZvr1KMt9LAfg7H 8W0D9l6R7jGFEVT4xkZzJEQ197AWeG9SA+YXr8DbByFG11h4+s7oiKkDrmaqlsOTkdyu1Bto YMK0+BZnBaa9S2SpuqJtDYcOf80/Q3Ls0PBJmdbQ3pcSxSMigM7HNLacsnAg7AQWHgNdzaW6 hjOGv0n2NWW8miay2YdnMYvyef8/r/vHu78WL3e3D0nkY2A5sqf4/LAfNQWixtw1tHRLtekq cAa4ngFKXkePVRxho+luRrxctU1F5p+9ndLP7VaXvb4MqmzxTyDfxf5w99O/gsxwmLBD8l4q NCMjZeNapfSf9BU5lELoubIEj8BqMuAFsH7OoMW/KUsXwlF3gAs2N0w7ceeiJUhDU6CbcE6h 5sg73o3obYn+JWfU3diWqmVFELPJ3oSLlUbdG00Zkw7CjEjqkJP0c2/TxHcZNHoTK8qTTqFd vQHXgLY8A2RnG/0dUo6E9ndIZhU/u3TkWuxf7r8+bm+f9wscI3+CP8zr9+9PzzBKb7JB+29P L4fF3dPj4fnp4QEMuM/P93/E6WT/gD4ulILGyH6Hbzq3nqORSmmZSkQeQM3thw8npwTmkof0 jBHLOgvvEOMr4bfMBUu/wepiRZeL8GERdPMBiP4ofry7ff68+PX5/vPXMFl7jSHxsZv77NRZ 2gI+sFqljVakLeAtd7YNU9o95jFKOqy7uPz57JfgwD+enfxyFn2fX34Iwqx5GLLqd528U/Vn hSH1NMSl4XKLsKC/b3DxK6eI3WO9kxTcM7HedXbXOR+fGELitpciLp08QmdExThDK7EKilgt eNoyNvYGgMSldHnBNxOu0Lff7z9j4cR/7g93v02pfRjCGvHh5x0xZ2O6HdGO+Jcfafwlr8+m EL1zkPM0toCl/9lk3fzP/d3r4fbXh737aZOFSy4cXhbvF/zb68Nt4mBhZZm0WJI5zgsf8XMT /HIe6jHGhiWcKw7GXPhWoR/L5Fo0aek0Q7JIMclGKcLsF04d+8a963qevtDv6zaEigIJtXvA 5w6m3h/+8/T8O5gYgZ8Z5MDzNSefLtWx/MFvoHZGK2V8IrfmtIkHhE0ramjHH2bAMIZkmg4f 4MCNbcDPZOBMlfQMw0Dg/zteBO6VaZQuRPaF1LR5Z2m9lIFHt6RjopuK1d3Hk7PTTyS44Pnc AVRVTqdxRTNTtGpZRZ/T7uwDPQVr6Lf/zUrNLUtwznE/H+hUP17J5InquN2cnq+o8dmAUfgT FfQJw9EzVzRInzK+D+WWdlxgSZWo1/P0KZtqprjYzNSi+4eojvy0mIkWjTiePCkzGaEg/kGT XnfxG7TsU5Xw6OKwfzkkvsCKSfAe51YwU7MgdEGbGxl948aC1Sn7MlJiE1uBv7liIgs5L5dI JHRZRCWyCdDvauj1uN9/flkcnha/7hf7R5Tbn1FmLyTLHcIoq4cWjOq4YnX8AST/Oz9BaG8r oJVciy7XYqbYGS/nFzpGljNR0n3KmV/wMCB0KlpE4DyipGHVFuydeubZVoE/KZEmS47QJZZS 8GqGtHFS0PDIGFQsk127eoweY6DEYv/H/d1+URzV/vizN/d3ffNCTfVI61/y+cIFMku1sbIp k4eCvq2TWG0wQ5isLliV1DgMJ679pKXQ0kUZ3I8PBMnMrTNrQ//3iCrqSQ0931nNjhjBI+vj OP4Z0rE447hKEqErwY/LGB1YAw9v66q7A0UfnAtWtRVazInKHoFv9MyLPo+ABY/9MCB6pdrQ VAT2VFCwRxPa8BMjTduXJlJecYiFbmtiXWu+jGwU/92J8Jci+jYTulLHNjltlDIyyvsR/4+x a2tuG0fWf0WPM1WbDS+iSG1VHiiQkhjzFgKyaL+oNLYyca0Tu2xlJ3N+/UEDvABgQ5qHXNTd AJq4NoDuDyrOC1jXAkArAdSItd5wwBQOS1bgDBGbIG4lu+Hx9fjzWe4Hn/78+fLzffb99P3l 7e8Z30YeZ+9P/3f6j3I4A2VDBDsETcM2ZqNNWQObwoXP6o6htapJKRn9bcsow9cEXSjG/AnF nSlcnRQQiRGNpzqPYlbQBjz/p5wEho3rLcOtgwqLpjBP+GWsnA7BNxIU01WQDjZEpY69sbhV 9vy4jaJwucDml07C9SLFA60ua+1HN9i41Ul5s4z75beX88vDy7NWaRmNeQpcnbKGgylMjbLW L026yBC1LvpgkXKX5/ADyaYXUQPNexqcdlGa8GbLat9rNcP/3jiqUZKS+gucGdBDomIjAUEE x7C4TqdlJTFZLpwpfWc40fZ0wmdKCZBz4aNyzYFepQqXCOnOFpl80tzVrOrSyvHdrJLZ49O7 tEf+OD0cf76fZgIaZU1n3DwRmxmpxPPp4Xx6VJt3aIWVLWAHuBVNsO+kbXQhEW+E6ffB/br8 tBEOUuUJG0n1BFGZSaw1M0mailuAN4wkt5aTfTjXgbUkZbijuwy+MLvf5EO3lyqnoerhQXlb pD0GxLSWOfNiQSI19ETMLAfeOubbOkKN8tY6IhaQWNxs9M2SaPbi6f1BmRv79TQt+TpKAcDQ z28dT49/SgIv4BvpGr3Y4ZZAcaevX9mqOMRURU7cxiVT3QgguCeriDJFsWxdGNAZghS2rRId wr986Xt07rjaSWVJ8opCvAR4Ypgr/dhdaBD4waFYb2r06oavwrmKf1EndMmt+FgPQs1o7i0d x8euFwTL0zwW+pplnBcEuOtCL7PaumF4WUQotXTwXcO2IAs/wLfnCXUXkYcozTKY3sLA1fB3 bjvrVPqQoUfv4Ju4U05td3QFvsEMvA5pvJxHyoSZx4zxdjmkpPa7myilM2gTRR1rFq74OSyl jkHu8CYCnUx4d9uk/fJm5gV+PgNPw7D0oIzpKV3Kiylm78Mxe9/rBJ1PMZ6GDjmSA6TaOq50 H1DseEnmJs4iCgMku6VPWmy9H9htO19M8ssSdoiW2zqlygRFVqHrGENN0oxoHIXIhzPlFj+4 Mg3WAjv9Or7Psh/v57ef3wXkyvs3blE+zs5vxx/vUFez56cfJ1iaHp5e4b/qusPgSgi7i1Rm os7OFsni5/Pp7Thb15t49vXp7ftfcAfy+PLXj+eX4+NMoq2ObRPDYVkMW7Fa8y/tHJUsF60D 92CZpUcB1mKWdzdqbgtx0yTj+X6cT8+zIiPCKJWb0X6LSgnfr0/Jt1WNUMeMtnC7Y2MSuPBA irHKv7wO4W30fDyfZsXo7fMbqWjxu7mzBv2G7MaOSraWA582FyHPVma83vVbvqq2Qj9kqquC /CGN1ufTkds776fTLHl5ED1RnJx/fHo8wZ9/n3+dxSnNt9Pz68enH19fZi8/ZjwDeU+gXool 6aHluy3hrqyVBSe0WanCfACRGxfa9RnE1BjjeoiW5jyqwXECZZOYvw+IzFDOxFjgfILV12C2 pvlNVtpSXjJpOL+zhLGk1ktOUVWAAsPXdoafDgkno842NWdaaJSHb0+vnNBPtx//+Pnn16df ZjN123ZMvz4e8cLXkSJZzB0sseRwg2IrosAvmmpcD2NjNBUQO/n1eryQzNSPfJ8uKmrmRO9c 4rKbZHCHXzWJfigw2Onr9aqKm0tNe6HqAFpi4eGno4Oxe2/xsjS+ehLpDLw4JQtjqzaw8swN WsyqGiSKJJyrlvbAYFnW1tbmxE4NegHWZOs8RRUCa9G79KHCnEQ2hdLMtNAXU/q2Zv4CoX8W QS3llEGJ6zlIwXWWIbWTscgNPZTuub6FjtZISaNw7uJ3NoMOCfEc3sQQh3Oh7gaxMt2jG8vb /Q1uxA8SWVbgjvyjBK9w10ezz8nSSReYQTX2jILb8tPquc3iyCMt1g8ZiRbEEVsTMdqr87fT m228yzuUl/PpP9x44ev5y9cZF+cL2fH5/WUGnlZP3MB5fz09PB2fe2iVP164sq/Ht+P3kw5r 16swF+soRcYIH17o4EkY8bwwQrolWwQLB0H++JIsAnwM7wpeAyG2ydAnh76CxD5X7kWnM6E4 juErsXJUGmewGDINdI9L6b8mQfhA6y7bMHtTFPNFcfrVU9rWKqF7p7TEBfiNG7r//dfsfHw9 /WtGkg/cAP8dO2mhKE7utpFMTYOeWlFLOPiQp+VGsM8V88YYmGRr1CARziQGRKLg5NVmY7uk FgKUwH0ovSunvkuixli/N3g3WpqCB2TXtnqWayIZ9kIz8fdESMsefF+nXUfQ82zF/5mUK5PE l3IERH39+QTJamq0sLzai7cj9OME4Ig9qcCHtH/lqmw9KY53hdS7wOz6ib8/8KmrFUPJ9mHb mk4HEE+45AltaTgbq8KY4LaIZG5jN/DaaSKgz7FZRLJjAtpPk2UkvKAhsJfqBNgRwEagIu6r A4se0ct7CQjw6XDFDwUFaHHHFJGb5EkUpcYFyFz1KmXMXlwLMnYn8WUvfMFyrk+8HcmOoSMm t1usaQT1gj+3IgQWfY463HRCO92bWc7CNePbd8yjX34M4CzxDm+MkLghWpSuIKZcCU8zdwu+ zRKrATcfuD2LXRX3EuaObGDIStE+hBtiKNWDWhAX+Jv0k+tFWKpLfA+dXoq4YfUXNEYK+Ls1 3ZJpN5fkg+FBikkguC89/5DsCTdXLu2VuqmAZVU9yYFvQfhCkOH4uOIEpL7tFmbjm8sMv9jq Fu7Wd5eudcJItc3xQOL9c7NJE4nmMylSSMDan4oHqYq4TKyLhJCFduQ5Uu2xArkQ7QQmj/S8 tuWxSZi5nPJp2bRR+mvnkjSBrx6UygT1tLtARGVmHU6cG7uOM0kl8idzZ2FfxjTIaUm6K3ii iM8rnpXTh50DXHq5kScmrk2280TsaxWXGup9jKE0JbSL866mzMmCU0xc9IGueycK8hfRkQF0 CWfw0Tyt1S95PF2IpzrP3cV0WiT+MvhlnRUh2TKcG7qUtPa9SVb7JHSX+EWALOry3F4X5JIV UBeRo9+yCLK8L7Ml6g2c0WPbUAkD7RSciiayi8cy+Nfk7VQnmYGaiAVTnBmb3U+w9fNsOX1o d4PSbbpMcDOlw8leVYCR2jSqYsDqbrjHTwTifV0l+LmRYNc6JJjcHwyO+u+zv57O3zj3xwe6 Xs9+HM9P/zvNngDD/OvxQTs/F7nFW3wZ6Hn4IgBcXtfEXXiouSS/DbzKIY9JUprlHu5lKbhr 3AWtwCtF3lIerBgp6x01oprkSWGapjPXX85nv635PnnP//w+3UKusyYFN8Cx2XrKodqqc/JA piv1ObGBXFZUw7ksYsL7XQXBwOLc2urMhjgeqbe00+/68frzbN0SZ2W908PqgcBNHHRJk8z1 GkJ7cw3nXHLAs1O6ZGhkiZlxo7k9SU4RA/BixxHq7t5Pb88QEjx00XdDW/CToylSTE8HH8Rd a+VS0qRpeWg/uY43vyxz9ylcRLrI5+oOKTq9NTxRerIxXyotMnEx1FLepHfi1FXNs6fxVRI3 eRSB2jxptAhFOP6YIbRE+sIowm5WuJ5fmOtYLp8VGc9dXJHJb25W+FgfRDa1xTdYkxAd1HIG PwgyEi/4OntVKJq7VypP9u4r31ZEvudfl/GvyHBbJ/SD5RUhgs8bo0DduJbT+kGGb5CYDQC1 l6nqVIBUXSmOxgXdWc5+xobrUCU7MKorObJqH+9jPEBilNqVV3sUK7wDq3ZkawvoGCRbZstM mVWssymfUCjARoxTSk85xGWcV9pzGSPLx6yLkZ1kSH6kWjUxQt+sPaz4TZPVaOHAOBS4A98o tAM8pwJ18BmEBNBTrD7uMLBolvCVstT8lgcmKxKCqpaJ5w8vFbmH52P0ePuBB8f/uYGAONEL ntSqmhWmMrBWGh7GyANITfxb9lnCfyCc+21abncxqmqywiblsfbjIiXqTc9Y3I5bn5smXrdY j6OB47oIA5Y9wz974LV1fKn7i/B/rBd0bBhjcr0dy1WIcFwO70pl6h2Eyo8TGkaqp4rODKMw VNWecPE5UxNjBfhotJZnFFXJHV9jspZk+OG5Krraea7j4rO6KkfuIsKKjetiF4e6IGO0Nh3e pgKapznC17zOp/z5xBMRk+GF/CN1511xaGbwCgxv/SsZbeOiptvM9tVpyqwFANwcnLGlTRbj vgWq9Hr3OWMUe/RLldpUVaJemqq8LM94o7c2dTa78t4COKYqfcPWnuuFV/QAJFdLjeSVTYN9 TKrisId9+pXspaS1L3FzxHUjx7VwCYUjb5sWRUFdF3tIQRNK8zWckWb13FKI+GFpiDJtM2st FDehi/o1qr2Okdo6Y6VlYSKHag0AkCssaB3cyFRFxf8bCAq4oo/4/z6zaMTgIMj3g1ZHl9WU FtOWtWMkLArb9h+M6z03Vl1rFwePTojhrWiGQqvpvcT1w8i3fBH8P2Oav4HGp0SM68rK9hyn vTBbSglL35LM4BIzxJlNcWCWhYxmuXzXBq05mlGz9nE55nr+td5LdwLM1LdP9rSNFsHcpgyr 6SJwQuysRxW7T9nC83xbLvc2Y02rsGpbyMVSz6izrTOKdcimyOZG2wqSnK+GPASN1tiBl2QV KyODteNPKWZHE3Qv6RxPTXnVvuoonknxnYmaax+bESUrmJsZBEF/oLI9vj0Kz9bsYzUzr8l1 vZEIJENC/DxkkTP3TCL/2wxNkgzCIo+EqPkiBeq4kScIOpVkNZ2UkmcrSTUKaeK9Nf/OcxdN x4kF/sxRl7YhB02NnVEjYGjrMVo95VDSIIgQeq4Nq4GcFjvXuUGhTXqRdRGNvkDk2/Ht+HAG LBYz9oIxZTtxqz5iXPEemacSwFTiSFJVshfAaAMeXMfZ7lHpkQyYDvoL9ICesIwONbvTbqM6 5Dsg48fcwj6znayPp5/VfWXBTOO2FcURDcTFDp9kdvgTDpJNZWhw3xz9gQTTnypK0lsbzjNn 3Rg86cByegNfrAm8SPfFAi1V28Z1jMgAsVTIh/HZ5e5hL/RyUkkgQ/nQvNawQUd9nBShSS/Q tClinFEb9wAKK20tT+NppV77rLI57GKAmplj3AYeuSjSQcSiiHzx5Koya4pvH7SasM1Qg0rM i6IWr61cgx1UOYXhuKKyqjaedLny5ccH4HKK6HvC22zqKiez4Wa876qOoRp9qivUZp6xFNGo Z/XdxV4Z+rqtEJWeZub+GQWF7piUkLKtJ1lK8oVMKXEXGQ1by42oFOK9aJU2SXzpi7oV6DOL N1ANE00M/gWVLJKH1V0dW17V0VNCKrui2bpdtItpe0NoFqp5z7BOAnwBxWiX5GHkSpAo12A2 tTdJwGnjUB89rTouH5h87HSqm1UyMq93SvFw3W46BoUbNmtyWAwmodmN7WWgujbui7qgUbsa AAfKrbIyyXU3fUGv4xKwteF8HD+IAyF5cTi+ZGArRPV+lQSarQ3SPmZkm+hn01ITwJSs1lh8 OzcMBujnIdFAlDCeWWWskhOx/pkSJIfYciE8SohXaq7I3GaYY4vK795Wm35BrcQcCmw/zTpg aDx64y/Vh13ius4zosW1VuVdPcR+SS+I2QNi+429+64kAgfIctsD9/CAMTR3LLjXo8DcEjpK Gm9ueetnH9+iKCUkCv3FL3ENp9QS36XrFG7IdzfgIw38eAQ9vaWfvEBxooKXZfD2jMuNhGgX /Qqz7MhGbzFByOj0eFPSbVnwFPomuiPyraY8OMZZGaeUqY5arPLL3W1lu2YDuRLd9wKnL1QT 74uz5kcaHLAKeLe8nuAYvsWwRIdKYL5/X3vz6ef2HOO00OTqtZjmxHyGlDe/GU3bcdosz+8U lEY4J5m6OngmmjTUc49yq0xwnCou9rpnV8cJziMd/hw+yQIboH51OEGFW+yGN26Ln8/np9fn 0y8I5+Dakm9Pr6jKkMgYIj21JvEymLs2xq8pg3+q+UFALvKW1LnlDofLdEg+AGZj+TJaGLUf P//58vZ0/vb9Xf+aOAe0W6arBsSarDFirGY6HGVAKOu7iVE640pw+nWgUpF55sqIKu1DBXmB xuH33NafJCqSMMDifjpm5LpGG2XawbigaBETklIYtQSxWHOz8FIcoWHHfaJZIF5pGej5cOJC DTLraMtFa2aOL4Udh88HfduI4M2xnrU8KNG35OP4/Pv9fPo++wNwdWTS2W8QtvT89+z0/Y/T 4+Ppcfaxk/rA9ywQ8PS7mTuB0EXT90PhJynNNqXwH9Z3FQYTc2ozRSwAu4bYKr5jTZxh7yaA ZLrxHGaWkhbpra0Ju6Gvyd+kRY3GwokJTfhdGF2HxNZPrNvY4votO0bBUqLnxmfbrBxmsvQX N0N+8I0kZ32UQ/D4eHw924beBNNIIR5yOHzUWSyuKDdti096CNxQmNKB9ILSPL0xnn3p68KA IR6sGgAh5kvDykxD89iCGiZbH2IxrP6GowhMaVdEcKBt446UYrD5Cq+IKRvfmoXz7eL4Dg0y uoUqfmdatnKXaMk3bmVQ1QDTq/D4pL6Ky42pJjzNwLcbFth7kCBxYnkrUX5mP7L04pK9Hg7c 0Qx/bk7Ul06g5EXoHPK8NlWtAMEYhUsHLh8mnhrrM9KmijTccIFHNnUqJW7Ep17HMwtmfJ3L s/UaNtOW0luIM9CzG0ahQru/K78U9WHzhY47Bmj+HoWr6weTVud/cKtFqJenC69VzwQ0CLot 1X9otpO8gaCZsiAPmA+C/PwEMB/jwIUMwIga9js1nZpFtR7MwH9ah0PJ6k58yK4rE832wBsC sBRvJo9KKMw8wS+dFJEpcNvI63rkoM+fgCp5PL+8TW0aVnNtXx7+qzBGhfiXuUEUybd4J0ts KsBEZ/X2Ls9W4o0dKzzw+WUGUBd8XuUz96N4zZ5P56Lg93/bi7R0V/g8XqRyXA6Olzp0WycD EE/dOFGMfJgGLUu6yErENA52tIQd/H58feX2gkiGGCJShSJBQZoks609Z6kqIsjJ3gYcLNh9 zA0W9KRLZgQHCxPM/K5sxaOHNu0KXt27eqLdbRsFwaTla95RPnQVAnd+RqWoGbjO/AAY4/Mo nWQOPAFAbnGFVYV4BjbV16GrHWrLehMfVRjUjEXhRA1q7WTA8l3XzHtP3QWZR+q+QdTA6dcr HwVox7jgCC01Bd9aFKFiZHumHh1VhzGTTsiwPfNN+Y7ayesK8M1RFIT4gYsQYHVGvEi/Y5Xj Y538o89HYSkku8nuqzI2tB0QKYzxEi+dAAOpEtzPcXl/YCw38pLmrEHMa3859ycFNCRgQYR7 zcmaQI/jzdqii8CzeG+PEtEC82+Qnax3cjGJgTMlLpfzTwpay6Q5jElK3y8K6opF7aR/5YdM fUqi6yhbpPNk2EDWajUhvkToGEyGK51GDgn0slqwie9HkVkXdUYrqtmlL2/4AO1S7YfLbvfD X0/dxn+0YQapzuIVDveVto0deQn15ihanSri7pVJaWSoS3anCX0+/k8/duXiYp8g39vCC5IC 1MD4HBigo4MNH10i0nRUGfBsTgJoyxYJ1VtKT7qwMHSnG43lY82vS1xI7B9Ig3szqXLhApuY NAk9mlJnXdMwSp05mnr1xQttx+Pycb34FkWpFTwR3q9ZjyMZ/mb4JVz3at+urvO7aWpJtz+a lMTDG93jWO0MlDgh/dt5WI2I2ewA/UZ9crAjTzKV89yF58ME4rbtgcBODaTpNI4FMkoVwVEp exHjdbeOC3uLDVTmSkW06ZJAo+swPDrDdB/rM+OrnmvB4RwUtouA6clt6vUuzQ+beIcDEHXZ gFtt6MydqYodx8P04+ZD4Cx87FyzF+HJo6Xq29Yz8joKvXBK1/fVPZVX1NwNWkwJwVpaLpwU GS8Ir8qEPjZJKhJBpAItDY1erPw58i3SmxFL0VkK4bS+RUsdcka8pXoEP7A7H6Epp2GB4yMV 3bDlPFCOasWOZBx9/f54X6h3FeInPHSp1rgkdqdSfHs1dQGRQcDIRmnAhF1lbLfZNZiz+0RG +ZiBl4S+q82sCmeO+nZrAhGWZeE6nmtjBHhhwML3L7oMFkyjSfiupYClN8ddG3sJFraug6nN eB1ZGHM7A60Bzlh4FkZoyyoMEAYl4QKr5ZuIpUWN1cGN6wDr/xm7subGbWX9V1TnKalKKuJO PeSBIimJMSEqJCVL86JyZM2MKh7LZXvOydxff7sBLlgach6SsfprLAQaey832mCRMCdY6aI8 +h/elHnDUqoyc035qKO3+w3ZHVkTkgeZEXfIj8vysoTZgREIP9CY9CK4g7363ATwvDsNFjQQ u4slVe9FFHhRQCu0CY5OFx4XciJrOAmzzKQvy8CJG+KrAHCnJAD7rYQkE9IlzvdqaLUeWxWr 0PFu9UUxZ4m6DZaQTU66EegZoFxtIhz7JdB8lnQAXs/rYmqW3MaUWU0P/5H6RDOAWNeO6xJy ikG0FW/RA8CXDUKsODAjPwAgWFrpbZHM4zrU2qhwuK6tANf/MHFIfSgHiIHFzYCoKQuBcBqS szbHHNosT+EJqVsnmWMWWfL3nMilt48SUxh6t5YFzkEJBAd0/VwJmtEbHLV6s1tjh6UbT6yF Ruo2DS0By4bE+XrhOnOWijF0c+1KVedgQ38z8pF8hKk1B6genVl0U+hYRPYi0OkLnJEhvu34 Hs3qbxYcUyOUxRFFtQxa2B58UIfZ7TrMAtfzyQID1yclQEC3mlToYpEVRsh3bwvouk3FHUfR 0FHHB8a0hTFKbA8RiCJy8AMEx0LSVZ/EMZsSbcJvSWdKm2yY9qBqlNesWov/WYnD4hJB4vD+ +Ygjpe4iBlxX1Bj2Hyx3Io+QuBx2BP6UaFsAXMcChPfulJSZhjWpH7GbVexYZuTiIdC598Hc BhuVIEQPiUYkG5O1bZsouF0jFtIrCExcjhtnseWKd2RrnOnN5ZLblrsxXQZA0a36JdDgMT1L F+vEnd5aXJBBeW4e6Z5LbWHbNCLPW+2KpR/ECGnZxrk54jgDOXdz5NYqDAz+lKou0KnP2BUJ Bk7rzhomGMYhsT/dtY5L7TJ2bezSB7f7GLbTjs2wY+Sx+A6UOVxi580BYgxyOimyAsHtNGqT 3y6zjOKgbcjcAQrX5BkDwNCNVpRmtsqSrxZken4beLvB+MWgcd1gUw8bxgnqYtpvE8dT393U 4gUBF6NEVrQVBP2Q0JPv64I7pUBf7aoqQc/R+xdcVug/Od8c7wtLtAkqxSIpahFtz15ZJQGP l8i9h3xUme7uuSyrNLFFnevT2atCsv6770ROVPTh/7vxeR9/1gefo3HnbCvsFeWsRPAUnkla JuQdhGBpqvSYtTB9Vs1C1wRUGEZRGkUXODx/ukcFiddvirWeXBFk6ZNb64HmMoa0ypf0Izhe t3e2FtTAbebw9U1TCB/B4lnt+nw5vU2ay9PldH2ezB9Of788PTxLkWwglTR3YIgljOyjkjZp wT1RS7mbqDJNAHnue/y10YwSraRFCwY9cyWfkcWSR5MV1c0cegZ6QgEGq/ocYiJwDHwJNzqz laGy2UsSbBaNljkGm9S7cP56fXg8Xb8JX/2fL6dJwuaJ4vgdkplv/ahT/vn78wk1eHqPf4bi B1tk2gjgFC3CBNKSxovkVXXDuJBybQGNM2ndONIjQCECFQ1mU3knw/n53TZF059YeN1q1AC1 hK/EOuElnWcxR4H0/A7P1e38KRbau8XAoLUP0kJXry2nUme6DnQCrfHwam+vt1BH1DU/Zcjm DGKFXpiTpkhpLQmEISmtQIz5i5nqz21S38kayB1HuUlRmUklNKrawTilYvfcLKaza1U+cESO elggmktRwESMK5qkrMrkmiOgq5ogLY65Y1q9FoJMHw0HPLSEzeP9lOwdP4joA1HHEEXhjO6m gSH2bzLEs+nNEuKZa/8Gjs+oK88RjTXBbENvFmm0/kZJbsP8EzdEodZkTFPn7VbNpX+llCac jqLeeg9UVTB5poMei0xsm70pIvozHKcJ5SJdEpo8NbS7Zbjwo1D3JMMBFqin7YFoWw04w90h Brlx9bwapXWT+T6YTm9W69Ck8uYXaYobIKVRETVVrgQ1jizKcbzXkpIl9BULPp4604AeIeLN 1aFPppR7GaVUwRBTCk0jPNMmWukxV82s4B/pUU8OUrqYyC1WjWYG+szyYRKDsdrQTLR3mo4F pi31eNvel/7UM+VCZgin/g0GzPm+dNzIuyVcJfMCffSMmndGkzCrtHMVVm0joCscSkTViE8G FOtBsaPxo1I2R+RfxgJnaizZSL3RYVyFzzZJcjA2c4x9UmG0Az19kup0bYjdT4fY5UBXOxxp ZmsN2ohDEXW+xIMVefZieVYkXO9I6LKPu8xv58fLw+R0fSVcSotUacJ4uMwhsYIKz6bHdicx jF/NWbJiCaf0UuKhO4gz1wkqOH7M12T1v8ktpZjUz8tT27chpLmJHwH4IzO/FX60Nbompnph V2R5dVScTgvSzi9dnZZku6HwoRABLYp9nmEc8KpGi/VlTr03C1Y8xDV3eZm38goisHa7ll/x sRLoDtyF/4hKzrcLPN8SVB7HcGkCrraSjnQoodo0FIJ5YRsWZH47xi8YbAkbpa3aFj++C9Br nLC42JtHKt6JvNG0sSKGycPL+3dlpGg9097DQkLpxPRwGJvd+amqE9OLvVLibw/PD0/XL5N2 Z45Skckq3xdb9IsAYlGYZXRwVRfkO6FgYvu5LiNZ6zmjBzKqTr99/fHX6+VRrZpWerp3g9il btgF3iRJ5MiPYyCLgylG70Zfr1qaLPJjmha6OIibZz5pSXcdcISx02STSqkGw2CgKzCOFe6J o9Rux7pPWx13OaV8hQVw9UpL7rtCUwaTyDgBWRtTcKCnBe5lIfTNLKDehrw1ovPOjxPG0t/w 2qW3/nzTZa3diVGlV5l3o+y/VyEfd+S8B7ufpSpfD8+ny9PTw+uP0Zz4/fsz/PsL1Pb57Yp/ XNwT/Hq5/DL5/Hp9fj8/P779rA/jZjvP6h03dm9gBkyHwZx8f7xcJ4/n0/WR5zoEOX7j5lXf Lv9QHw0n/ljW1+zIOfqYDwwh5HR+u8KLrLNmKFDPGdoH9p+Dncvu8ni+3mKOnFHBXzBjrR+U jxrCMXP8/KxS04dvGC9btKbpdE6UVO2iMDK+l7UzJvRAeE6Lp4e3r1IOUqGXb9Cu/xWxonmM yx7mzf+bYDpdgQvaHu+5eiajcaLAXY12Ype30/kJ70Gv6CPg/PRyflXzb4SQTL6/gTBDvm/X 0/EkvvhRCXQtAX1TEG8b4yxRsP00sqhkjFzYQrTXXY1JVadRsFacBmjMkb1Mqthu6tJYtXO1 qMYKGIR0TD2Zp9OEoaAo0kL1yeAspNUqFZ7IWrn6j8BfW17tR672fjYjX5TEVKBtdSQi2sVv 5FtxGYMxHyuBXg0w2ltBB1DHis5iWftEBlnrqtesErbHyLixDes8MZOYb8VY6vtw/vT6AdZe r09vaEoKo/r8dH2ZPJ//N86y/dhZvj68fMXnCWLRT5bUXdFuCacF2dt+R+BL1XKzVYOqIdjc F226yuuKtrXPanMVS9LN5Ccxv6fXTT+v/4z28p8vX76/8ujvcl0hE3RF2nl+MvJbYDjdyV/f P39GS3t9olwo/gUWRS0C3OHRgGiAxRzjSZaKwT3Q1lVbLA4KKZMvdOA3jwC6yxviFIaZwn+L oizrPDWBtNocoE6JAfAIyfOyUA5sHVbzgNH7vEQ1heP8QDp4Br7m0NAlI0CWjICtZNhS7ET8 9hZ/btcs2WxyvBjIE1IA8LvhhFEs18d8DQJN7Wz7WirnDWzifJHXNeQu3zwCfZWn27lWZ5BF YQctl8wSvJYmj17YY0l6p7nAwDSQoPPBo9amLUreIq1wsmqK3tfeYQ6xQmGnFXVN+pvAZmWu 3tDMhW5bwO6+wJvFNfSeRVwP87x2lZlDphpyKlwEykUlTVFCx1jyL1jT6lIAjW2xU0YwJ/19 4ChS9OmxI5dqLw6BbLTyGifjrzCWbEEi1Vh1A9HyxjTixul9hAbxoDOAE4FaeSToV0o92fYA 2uO0KBaRr/ZqmcfTQI71jT2d1DC60SfzWn4o4tLf2WfqpCPDYDFrOGySIAYa+XObU9iSIir3 XlI+yS5f642RZDa3aCiI7cFxKf0mgeli2x6OKX2x1KFL+kq7Q8n+VaSOeldEerJT9MwHEtH7 HZCkaU7pKSBHoU4z6Hne00YzpzmBQtsZIr/j93g4z/Og5wvLXINs+861WjGHoW+07DqvYPon 3xIBvTvU6nTsZYu9lgOSbn00x3W52VVVVlXqDLFr41A1isWZuIYlyDZfJfWdksOG6clhxDBY 4G3dbndbiT2BD0o2sJgzkLnWDyymrJh5Z6lm65q63ar6KDiechhP64pZK8Xm0Ei22XFeV0nW rPJcnVswds6dM5vqPdfTqX26BDuafKr7c95QkXwEGgbbsUwzc4eExLRMmqYP4q0gpb+YTl3f bWVFWw6wxo295UKODcHp7c4Lpn8qPl+RDsI+c8mYmT3quVM9UZtVrk9ZmCO4Wy5d33MTX62A eVfFPzvMQ48ZBZTZbEoevxBMWOOFs8VyGhrJGIaPultM6RdrZFntYy+g3lLG7qBbfcQ7dSm5 cKkv+cPU7fzp5Wlk2NwzOnNuqUZ+mpSYxTPfOd5rYQYNviZZJfK14ojoz0NS+YPuDVW5bBPH lkiKGldEda30CcZDvJReaPqQw4h5oTclP4lDMxLZxEFAfqz5Dj5ilFnuUENNa0kSHEVfQKrD Dho1KjcUNs9CRw7lAvvMpk3aQVULTohv1yfYYF/eXp4e+rtH4rp9mRDREpYJ/HVsqkWLLnWr slRdN9A4zG2fcimktYULTwtF06LHqXzNtV3nh16VVDrSZ0S9si1jhw/I8G+5Zevm93hK43V1 j856hwm4ThhsORdwfjJzJkCoaiv2DXDwq9X9AMFdVy3XDqUnnmpJxpeutmtZdxt/HqvG9ACs IkcMr1AmBe3tqVmTCuM8B/wWImMGaXDSs9xW9SwbOkJ8Xzf9Q3jkCox/bRaYscRiB8nhHYPT hrUoDGkqZ4m/RbgYvG+wJmOqnldH3Gx9y+ala7GENIoVmJojKoKxYm9RIkf040oqirGccmBe 7LhmzdFpfBgH9BUlMiR51mwc6VWjScNQM03lFIyjSOUiwDTDFxOfos6TJv99qlfsLlmVW1M3 dFVk5qS0KiTxhx+j74y2ztfLdqWgdXIv1367Iq+rMJtxhRY366jF+vDE62C8nSJ/4sNQVzQI OTWtt/RxiaPWtZijjcXsi4PbOreE++ONkJd35FBDEC8W1dlIUAv4RXUjR/m9qZHmAPNIQ4k3 otDay2pdF40yX4zUI+1iH1LmrAFQ7Vd8x9L87iP1kxbaVulCNi/U8NOcvLA4uUMQcuOBuyxZ 3h1ytVb3SdlWG6OIQ23M5BJcoL9QNZ/2vlivVDN0UZ11U4AUW7MqU925BhLzTCesq12l0apl QYlsTz9mf9jK7Dngx0b59gEhexbRestgGd8kmat0MELLmT81iPdwxCo7YVCqyY/SRlRijeWw gCXJ1pesQKVs2HGo7cIqfNLODxoVdhyFFowR6XDeyu9U0iZZowVEWdVSL0hEQ7I3eZug+0SN CsMRThskUVy/E3TixkuGrfmBxDR6C8NpCzV61oUlBAPnwZ0NdfJDsEkK0ThKEiJetoxu8hwf CrQ2hT0giAFMyLJXaA5s15tyqxFrxbcrjkeMwpc0hewBsCcRstXAbq2FJQ1ztn56W+yoDRmH qk2T62OwXcFAZjqt3jbt4Op43I9IdPssucXlDHYF3u/alKTE3uCkomBVq005+2LNtDnhU15X anP2FENoPx0yWNwqY8YSlm7H1ZZ2OcrXrnLTGIs7941PLfDceb+8yGP4zWqVFkd8NYBts3gA UXHjKgSJPDTgKoFNVKosCoAZ1UEajyo1LvYDffP1x9vlBJuB8uHHmXw5x9I2K9pf9LracHwP O9sdyYGo8I1qM/xuk9Wu0uutpk+ypSWsCMIw3nHTS0etR4ZtyR1f08Vv7+eESDJVdx5+mhf0 CjrXnf72m0DUg1QjNSE7qgz12zGhqCN0dVYYLIH0Ci4lbrKVoj3fk/QQbgjAtq9a4V/Wmouk NsOOMe+yXTA99/t5Q1qt4BcWCwZJ9RQ3bjdFWaLCaaMnTOd0yErEdlyTlOizLdS9COEIblEm xgbK0cX6nTWcAP+WqlkVc5tbfuRgrTTJM9jyYSB2pTYdzRQjyW1y8345/U2pM3Zpt+sGteVg m7plsq4D2gsKCVSKbEypNAqzC5xZdd6ljNohDyx/8I3I+ujFe7M9jnWgOisYAboT+lkmv+8X 9X43Bb/EvSRFO/KdkobMedDmdY7nznt08rZe8lWNfyleDhJTH0/IbzDJu9cB9bSy8HpNdkTD icKfsPL9Mt1mgsJ5NJMvXgYah/hGbkgOKCWgDg2CwdsDkTYISPXOETW+FIih/qV4h6ga2vRk 231o13f5Dh3ZkrE6xqaSbycHaujp1F5Nv03arS4lg4a+WgHYBDiu30xjygOFKEq9iRaClbm0 fxSOdqZ3je/KD3aiPVovmHlGfnb3zxweg3Crydo0QRMdW7K2TIOZo3oPGgQ4+MeWrGrNesvW ZdromXy+vk7+ero8//2T8zPfX9TL+aS7ev+OzoSpy4fJT+Oe8mdj/M1xB00fcjmORu12FHb8 UTzfG3Mg1ql9vXz5osy0oqlgplgK1Q6tiQVgjWCmMFUw1ayqVmu7Hs2K5s4CrXLYLczzxJaU OBYpeLrZWmt+a44ZqtZ5N+ATBG+ry8s7xi54m7yLBhs7c31+/3x5wkgmJ66ZNfkJ2/X94fXL +f1nullFqGMMvGCrv6bfrYAbDKw4Yvh+jKbaxhN14jgHmPIT1GK4EcQxhyF/TNoKjZabtN5K J1EOEcYwSCdyqtv0qERZQAK6BApjJzYRbe1C0iqFbcaBJvavb/95fT9N/yMzANjCAUJN1RG1 VMMnIAu9DQFkcnmG/vz8oGjIYQqYyRZDrAedjtoEcisNAB3GhNeg3inbYDw0YfnEOtyzCxNg +g6y50nm8+BTTipmjCz7WH3V7pGscTyL+a7MEpGR30eGMHLVNkI6upqbyZOpBKhmvT1QN0Hq UVkVTem405j6AgFZfOn1THtgoda4HueOu+S1XgGmoUeVzDHS0F7hiIlsme+0MdUynH68z1qq wPmfnktG8OyFazQINRHDUnNodDOggcbRwI5vNk2oxAvm0U42h9xB8pwpWe4e2obafMlJVa+6 PZIzb2pxETck3sWxqgUwuPxXxxzRAzNLj818k84HkGsdWrTlu8zi32p5zhDRpc7okRXOnJBs 7llEKvePre1Dd9AdFdqMU5WBS4ZgUScDYmjDGHEdauixdBPJDulq4TbimOAzmRpdCu1IzNnU aDPP9cieElX4SJ6gm2epa0jU5unhHTaB3z6aylNWUQdJqUfdOCR7OnDIbkEk+EB4whgderGi PJA5hzE5vDhCez+VWCI3/lC6I/9f8MTk8YNziC/AtRbNhBujsgLnazRnuN0akW8ZqK4/pc1j BhZbVBmZISSEuGnvnKhNiLWO+XFLdTjSvYCmBzOC3rDQ9YmBNf/Tj+mZqd4E6c25AGWdmF0G vSAjR9PvmjnEeo0ePjiuz7/Ctv2DqXhwS2OUJ3yAkG/MwoqKzjljidghSju6kWYqPkvYjt4/ AodpXoE2vXqEQqR1qoz8Lmadl2oltABl4hhdABAqdx7ovytjlDI5ej9AaMzjz7RiePsOmbOl HMx1BKQq3GPi1FA96ejk8OjT0LdYq2bb1WdoqlSPtpdgqPBju+8Y5ZbHrTLV3vPtYnJ9QXsY I+Y4GnVQp55ku4fz56ZMpGmwYFh6WhTdu9p4P17QZjvYe73RK1HGEJW9MyV8fUezRl0CBZfq DGakwdFvmaQHA5qj+bhqCM/pxXqzbQ1qF4JSqXhH7g15uoOS+ZDDLqfX69v18/tk9ePl/Prr bvLl+/nt3XzYadpkKYw+hqHZBGKLLg430Ipv7w9fLs9f9FeY5HQ6P51fr9/OqpFuAn3khK6s R9uTPJM0M0j+YLWaCKtztAW7fLm8YyzB6zNUQS8vCuWoQ+L3sVgkaY7xE6HR5djpCqw4+wAk knfz8Dt21Iw1p7VAcWPCT6Wod1/pvy6/Pl5ez8KbGv0FGMEhVHPmJKuvsR7XjEA689qXhxOU /Hw6W9tO/gSHnPI54Kqtw42rxQDmHwT/iLybH8/vX89vF+WjZrGntRZQfHMu6PL48gNE9nR9 OU86M2tdpKbhIBnr8/v/rq9/85b+8X/n118mxbeX8yP/5JRs4WA2rlrl5cvXd7OUwTVuU7oz xc6xBco/0T//T9mTLDmO63ifr8joU7+I6S7L8nqoA7XYVllbiZTTWRdFdqZflaMrl8klomu+ fgBSC0mBzjeHWgyAFEWRAEhs/bq8k2VPsNzm919Xcv3j/khCc2Lj5ZJU7BRmpk8tAlY2YG1O XrxczcezV51en37iDeaHu2TK18binoKqOhlBvH6Ou1vGqz+QAzzew5qWyR/7ISlXeHLxAOq4 HXT759Pt3+/POC7p4/r6fDrd/dAmvoyZUTCqBaAwEDuQqLnghlgZ40taslmEZQEMmDJ2mmR1 VIrKNZog5+6hRHEo0v1/MBQgjI+k/6BJBr25BrKPb8rQhUxVQ8fT0eHmw2fzcl/oYsnEimNZ OZHSgVdDKiHTdO5rLZO8f3k63+s6xE6Vs+t+51FVSE+na5mxpbpp9ngtahbiJp2yNkkVX8Of Br1V9Aypm2shZImrRhSYEwgvSbnmAj3gQ1ZFLdqfdujOCIxLRDdsRdvcuEXc8mZTbpnDRRTD fDZmyAr8btg286aL2b7Z2FEyiA2ixcKfkRd4LQVGRMwmQT7qWCKWEQmf+w44QY9BJJ55h6Zh fNL0YxDMyS59KxJwgHskfLZywRcjeBlGwDRnxJArtlot6UNtS8EX0WTKqPPVQOB5Zlr2DsMj b+o4emskPnmZaRAsHL37jmSMOglZVlEnmI8nkovl0p9XJHy1PhCjwVLnoHq7HyVSvppOqG9Q h97CuzBIwC8n1PzWZQQtl5MLu+FaeiAXo/jeTRo7Qyex3SbAv5VeTftVuLIB7/lyQnp6bKv4 JtBtuS3A5iIdGNmGkd6mQ3QR/mOM4ZvVAS1jWw8uthSwKM2YkQ5jubZ2YMuJuwMfkqBy5hPv X1CmdY5s76yW6rhaaMmX+nP+oAmFcbWLNrRazPFdWCkKOi5B1uf6CM+zYrVyxTnWXxIBB+IL fXQkMjM8vVR25TiCVEei7Eotn+7h6oDljKNH6KVBoFF6X7LI5R/Vl9eKmJm4Xl1YZHEOYpfs OY7j8uKj5Te4+AYyT/91Rp9s0G9TsOriy7VuTQGw8Q3qBBepdqy8MIwwc6iOaiKke/vBisi1 aA6BoMOF2ssfx+PbRO7ZOCfsQBJkcCAnizgoB952lgxNr8V8ddz1y3iHZps5QiLUqCoHj2u9 QtA1NxxnbhiW6EHauz947cSltNeVOrtXhd8EtRCOaKy2pzpPhN1Xx6tTUOTK1AhaHR6TpDHD GCZqf+D40L6uMb5O91OsfGBqHbxMSvorhjvg5nE/BrKabLoHTodc2DgHyUAjwGGkWGkwfuUJ hbjPfQDhw8PT41X48+nub5W8A0/I+nltaEPU4BjT8GRuaAgaKozCeKnfueg4LnNzhMai1PD5 kcrOoxFYvko65kgnYtFJktAfG3d2XfoS/nx+lBNk3WWpWeNP7y9UpnvomFewXlfTuV5vNd3H B2FD5c+mdWkcKANYhB3lsBVFhgs4cVQX2CmHHWBRHxBkonYUB+soRFbTzDxrCbhweJGyJA0K aqUkMOm1nadyi3ci57sribwqb7+fpAdOl92vm+7q9PD0dsK8d6SpLUY/ebQWjW87nh9eRxeR HAh/579e304PVwXsgB/n538NFQ8ik7gvicCfSDsf8M5j0vCKOaIyC/QQphgyIL7p3v2lVF42 Vfy1vzNTP6+2T/DQR+PqqUWp8iky40BT5FGcsdy409bJyrhCbsJyh55q0KIOx4GZEAPX6dAl rSuzQnXDOE8Osf0+I1/v4dWV7Bx6i48oN7oO4n/esLKIMryMu1HEsprJF0M1bRGtc+mwmBW4 lbpYSGVN5fVuybA6oj+fEx1Iswovs6TJEk6LqJayEqv10qesOC0Bz+Zz3VregrvgggGhLjg0 NqIjsUypClM2NLUe2oRUKADi9zLPElCZnbVeaaCC991qWPVf3V1KazMiRZdurJknPeQUyVQn 4ddDCgZj7IBoGzgGP4yyW0W03aHvNciYtyJTEmTMqKsaZKE3nygdnIaaGVwMjFVJI2JTR3nI iPnk6TYC9SmaGLe7EkQeHvdHHhmkEuDI4q1wxtD3x/DL3pt4eo51EJG+no0vY0ujYngLGCUR b8HO+ieAXzgcpQG3mpH+3YBZz+feyGDZwp0tzPoCMsOgoz7FMVxMSas/D5k/sUKpxR40I4c0 BVzAqLpk/6GdClj7NsOMWanQLLZoRFqYZqapWXxSQiivHCxxvrTsRkv4BjTpctTr0lEzBC1f K9qRBlDrKW3VWK7Xms8aluFZrcyKG6pqDbA+A7pLVjPdVWJ3NPJuYCnjmV5BFeuhTKZm9QVZ HphOlA8of2Es/9I3iwYBYKYnLs1ZvVzpbHuQCIkaef/gAXMADLXGBAxWs/Vg5YwonKy8cAzz pzbMm3q+4S7ZgVd8Qu6mFr/w+GK6GDUcVam00Ms1ac0Zqn0Y3w3AIg1n81mfjpc9PP8Epcta 9it/0dsNwx+nBxm2x0c2PpEyECO79mpCkzPsq5XI/dtq3Wcg3p3vO18RtFWrU5AWuIgWcz6Y 9qZDMgFedg37RqZ84mXbzoqj1GmE1TWNM8zMFq59t/YM9/5oCzVYPVhDKWpWI77TWU7fMAWz ZEE035lPTOcTgPgL2uY7900L+Nworom/Zwvrt2HBn8/XU3T15/EIagH8yhrS3OG8BajFdFZd MIXPFys6ZSOgliTnR8TCfLHlYmb+Xhv4pW8WLg3hK9Ie9bDgV7rzQ7aY+qYhHFjS3HMUWwrL 2XJKDRkxa8mleseM+/eHh19DUml9fakzRGeHM9e1hlOaFXUjMaLsNcU2O+jpf95Pj3e/etP/ /6KpOIr4pzJNzWO1PBTevj29fIrOr28v57/e2yy4/YStldO2csT8cft6+iOFhqf7q/Tp6fnq d+jxX1f/7p/4qj1R72UzU8FR/0+vAnPBI8jzCZAlZqWrikPZYdGx4jNHsdwg23rk5svK2p8Y 9VcUgOQs25uqaHx2TDiNQg/bC2jYSz16WBxiC4JxrN7sTrc/335oHLuDvrxdVbdvp6vs6fH8 9mT5lWzi2cyRv03h6N2Ox7KJR43i/eF8f377pX3HocNs6jsEW7QTHp0YaAdycjIh8yYIbpRG Vr/N79DCDM6+E7VRijhZTvT0ffh7SMmfwKZ4w4Cyh9Pt6/uLSlT/DhM5WqGzyWg5zlbGaSbx zCLsCuLIENsijZHvs6PODpP8gKtvIVefcRLVEcay1BCUtEt5toj40QUn13iHG/WHc2CGJulQ i1PZzj7m9T9LKebHoi+grPu6FspSYOJ6UjpWRnxtZDOVkPVC/zI7b2nGayKEPKKGmT/1TMd9 BPn0UQRQPqmFA2Kx0G9tt+WUlbDs2GSiXQKYrk56RTIJ8XRT/RfOQA01PZDLajL/oJb9OIFi T5KKypVqFLb/DHPFk8iiFP7E0bCEQU4nNrrfeZ4303ei2Pu+p30oEXJ/5s0swJKsUI/OYFa8 0KBGI44MwgHMbG5G7tR87q2mdOnwQ5in9jx0qDhLF5Nlz0iy2++Ppzd1HUIIuf1qvdRene0n 67WR1lDdbWRsm5sspAc7+chAYVcXZVvfWQgtC/35dEYj250v+5Ty6ZLpMgvnK7PMoIVyDNym 0qJQkse7n+fH0Vxe9IfThi4L8VR1KejbMhXgMKAMReX56Q0kwJm41oJj28ohSVGTnK2cWwlw ZLk5UCU9vcIHAqzFKcoUxPDYlGIPF6bizcw9kJVrb0II8BILrcjyVQQvDsrJYpLRaUqCrJyS PHNX6h7FoKt6eiJp9Xt0iaWgzjusMoWVS+rffL7Q9436bVXGUzCzhCDA/OVnW7jJnG00lBSG CmP0LOYz80yyK6eTBbXiv5UMJIl2cGsB5pM6oLYfpPB8ROfWMWPh/trvS3OVL0//nB9QPcMg rvvzq3I/HrVKkwht+4mIm4NeKua4nlsXcdVmMj7xitPDM54lHMsIlnySqdLnRVjUJRlFkKXH 9WRhMPusnOjWTPnbuF8SsHVJySIRU835JhdGpQb42ZRJvi0LMtsWokVRpKMmcUUlnJLkGIZu 5lU6ZHFrlVZBC1l8Fbyc778TNhUkDdnaC49mEBXCBYhJMvgPkRu2j40HPN2+3FP9J0gNOs5c p3aZeJAWjU7mu5RJoa0NZQ8eftix3AgaV5xVUFXTmVYYeoLWLk95AQCNzNKhXz+yKmu2SSi9 RPPqs9dv1BKz5VreAUGBfqRYCnBKCnPloApti1Dojqqw22OhlXM0tC+JY2K3dAT3SXwQV2lC O04ogrQMvdXREZQuKbKYO1wvFL5MuGDhzhFoo2h4EaIr7CUKkTm03BaPFln6VlKVJlZ04xn6 dpN/vdCviLcVa4Iyc7hxZWPzMzqs8fe/XqWteVjFbZpS9GczluDuBl0Wmukqz5odTxyF53Wq mgf0VARh1uyxPC1SOBznpJU3ZIbjRevOw0raRyoLx1nXytMLBsJK/v2gTvbjuKGKaTswC2M4 gmMl9S8aE93VeRRXQZEOlruRy7dy8db2VuvzHSTYFr16nLjOM/C3v86Y0uM3dxeNPw3M7MVw SswPUZJRez4/GF7osDqNH+M7NQTyoq7CSwk7NCIiT4r6SmI3/nJi52RgPcFW7C4T8I8IMk6V iBxGIEYRjTKEQYVZqvtA3ONGlSvN56PbUeW29/7f8GS8qADY488vD9JjZ+wVEBkuEfCzKcjs jH09LPieGdO8qqSTZxVoVeOjMAqYEceZmMUvAaDEDmnOTdCSiB4FwAvzuMmBJcWbBERmn4d9 mHIe8qRJAvQ0TnL67Le5bsLNdvy8nmBbFNs07l+Q9lCAAaBLWcnwA7LKSjbUalPfX26v/t1N tVmdcHPGSB3J6XRHlRBeMm6uMYWqSmIzzBqcbZLCmOn4KKbNxhCILag5MiFoL2Gg8BtypgEz G3eHIOB9PMGyLJSvZEfD47CurHw7EhfnYXVTOrO+SxpXmaMvQaTpKvjLrtkMT84COW26eE/g gwDGSErTAYFUd3fp4TKAPsk3BdmRmlJTDA7ISxOk02mT1L2TNcwvem/6475ozamZ2hCh2bIN ZtzHfHr0asdyP1N6QQTCnsMOYozQxsn5lYxsa6+Hnqaq84azHNAy2Q89NEXtWhoKyzjMrcbr 8yRV76M/djOVT6W4GKZ3OxqriXi1+IgnAntrKJhKptgUJdl9AowE8UYQMPqdoRf/jQMPnQ57 Rgf3xQQHzqlApHiRmE7/H+aCjZsM9va6ELQyKTGhoPUcLMK74bPGwVA3NSZCp+anOGBl5Rvr cw1Q2DttXSr4Z8Rgw9u7H0bBRm7xgRYgtwAfg3ewLQrQUrMxasRkFLgIvuBg0oQbCo9E4rcc h4qH0R9VkX2KDpFk+SOOn/BivVhMTBZQpImpcX8DMnIC62hjNMXfedqfVaOCf9ow8SkX9NMB ZzTPOLQwIAebBH93ueDCIopLrGg285cUPinCHcpG8fm38+vTajVf/+H9pi/FgbQWmxW5eHIx 2rtKj349vd8/gXglXktycuMQi4C97QMloYfMjg/QsXgEEqnVEb4y5lBPhO5IIVGgoqRRFWu7 dh9XuT4U63gtstJc/BJAyxOLxi3jd/U2Fmng2I4tVr4GZeOQ/1iMH101JbfCHHJxpmGwvP02 tshZ1AE0q23L+a+JZ7KN1UEs2Z+tjXRAPDpzGfRKv6CL2wNCJfo2E8H30A+mPYhdHQf28Eev HwKbIZvyrzXjO2OFtBAlHTqWNhyIDLRij7SpqCOMsKpE2WCVBUctDptUlgK4MFiDDq/TVHZJ m6pTmWz4N6vgao9Iv1Exhxq6IJsdv11qNcPsyocgbSsyjYcTZwGcc/Rk9sMcV2ybYW2mVpBg B37PG4+jXZLD8rGEWeZcjaXV/Gt+nI0WDgAXox4GHdTdfQnCzeJ3EiJnX1ZxdNQ1aclgsnsq ohf4VGQnNl04PrTbJGXGKQWvxRryGdjPwRR4owlTkOYadE+KvdWantyrcoW9fyXEIjO85PJY wCltT/PEPDV/9PW8SDGIBJ0kbUCSUrcmOslSt3eYGN0UaWBWpp3cwlGujhaJu+Olu2OHA49F RF38WyTTC8+gzMEWyexCc8oYZZEsXO++WDswa9OfycQ5PJesDj78JuuZ6+mr5czEgPaIq65Z ORp4U90xykZ5Jkqmg7LfrnsCbSvVKVzv1eF9V9eUZNDxc1dD2nlRp6CdBXUK2hRgvLlrHfYE jo/iWVtrXySrpiJgtQnDlGLA/vWyIB04jEEshxQcDuW1XoS3x1QFEwnZ1w2W4aR627I4Net7 9pgqjqkUrB0+gQFasVc9Kq8dAXvGO9Pl4DsSUVf7RE/1jwg8YXTnov3p5fH08+rH7d3f58fv w8FBFuNrkurrJmVbboffPb+cH9/+VibYh9Prdy3BWn8GSHKxl0F/w8NbCYiZAdL4EKe9NOjP TEqdJShmuqmrEF3/EUwffYCPbnKGWavpPHzh08MznJf+eDs/nK7g7Hz396t8mzsFf6Eyxsme 5LUYfXunalZesyoHUiy5yERMX7y2pFnNhbojoi5MsGak7O2zN5n2iWO4qJISOA9aJzMzwWXM ItktIMmn1nnN4wjbBUXq0FRw7ovrnAyVUu+vKwc7eCTGZHX3iNZUcdDHE4yAS3jGREjbBmwi NYFFnlJXObKozzUDLVRNT1lITxj9UK7Dx0PaFGgZuY6ZLDeKqeApwz1WG0MFq/qqX1X1wP6o rr7j58k/HkVl5wRSI8BTsAwG+6+h0shVdPrr/ft3YwPKTxEfBdaEM0tRqH4Qj2n+KDcM2Rbm ALM36NdpJrzJi/bm0VBqTRosCUXvLzmKqoiYYI2de9GiUpdF5JkvrYOOyHhJiZC3VdR5AcPV 2+nM4iyFzzmeoA5zYVxoVd43NbeO/xbVgbLe9eWlWppx1XED4dxObcIpu+ypQu6SLaaqujwD 8iXwonCTFtfEJtTRrp7k2+CEjXZyD7w0jTuQEyMWK9f0FfrXvz8r5rq7ffxuunAVIebyUoVz Hblc2qq6O0w1IRinx3H9FfPwhLuooO9BSswSASusKejbaQPfHFhaY6FSA4mSDNOU9WAO0xKN DQ0K7JQSEj1a11ZrtS7jPHJKBzXxOKZ9HJfGJm/ZAygeWdkLbPwMA5e5+v21zU/w+t9XD+9v p39O8J/T292ff/75r7HIqwSIKhEfY3rM7SKAUdjFlCySjzu5vlZEsP2La7QoXqCVxoYRB9Sv NA+9RYGkkB3gp3DOb1f4IoU5Hu+stu+GlQnw+nTjNt/IJ8ECB20sHvHKbgn3r952pR31cTlI hYzgcoq3Ol8B/hzQOYITbfHy/sIEl8lHFJyeWIWUxpXESn5r0YRVHIEmnlje8SoFQ1gbctH6 sogm5Im0QCOS0gFcn2DQobAdsMrLFB98SSQBxQI/W5r2fGPqWZ3g93Q+Iv5KmPvszfK1VWeq kSJjUSrDHCgTeP3nOFO0X6uJq6qo0MNG6WW0GUvZNC7SpKD95uGNlVqpU0W5TAXSLetxBUcp lTZ1rnRDSVS5sNuKlTuapjsEbLrd40Y214nYdVnjjecodBYWNeidoNYbpV4lCdpG5LdGSrnu 7E7CtqHqRTN6QAvkIUQdnc1ohaht8f4oDy3i9PpmKIzpPhJGQhtcnnIHNxy6ps0n8SVsMHwf 4EkX9kQgQNq4toNioosZwdjk43fxMaqzcjRyPOnkeMZISxcTkXR7IBQF7V4oCeRRkU7jJvFB Iqzy8jq2rnW/MQmqQO/byaxr9quoqnoGp0qiWBYw9fz1TOZtR1WP3quY1L1MLux7+ZCL3jhq yKNTcX+6ztoPMHxjqXk3UouHBYoxBa4dzRlGaTr1caVDbiPDnoG/L2nPdQAnEHUKSb7FKM4N S1l33OsI4cSS1ymlTUu8cfk96pk+FEsylibbPHNlX2ufTT9YOwigQ1+TcKmUXOtGFMw02Eph eXuhp96KWZXetNcZNLSJgq2xPWTiQoGbxp3RbaC5JEGooMSoqGFlq1uXkcqAttS0JquTtnma hBlvIJcGppJ3MHqMbsbV2oibMm4mx9Vk0LBtHEypR+PUitfywRjYvMjRVtW/So/Fx5HTo1HE VMbRHt8++BfRFJ9KqmWdR4A2RBi5LbLlJRerWEazvrBkTn+gAvZwhoseNPKkvQGwuoelXrly YrY3JbodU+W+Q05uemPy0937CwZjjO7/9rFeqQ05OAgiNB8CAvm66bzeNqBZGlbHhkORk6D1 ELpEAogm2sHExBVD/kaHeymPMuDDMZe+2yCAQmMPXHA661Abe+3vWAUqLgwOdZ6wKG/UmYUZ HhMDAx2RG/Z5G0kNBJ3cQkmRFVGsxKdxlhijpfPm598+vf51fvz0/np6eXi6P/3x4/TzWfN3 7hbuME9Mz7hiYT//X2NH25w2D/sr3H5BodCjHx3HgNe8YSfQ8iXXdd3Kh5Ud0Hu6f/9YdhLs SGG76x1XSYltxZZlyZK+dA8+Gn3SaqD+tQhbfiNMt+Fgjz5fHKjwzHD2U3dlM/jxz+/zYfRy OL6ODseR67GXT88SG4YvmR/PFIAnGC5YTAIxaZQ8cFmsfAb3MfihVVB71wNiUuUf7C8wkrAz laOuD/aEDfX+oSgwtQHiN4Djm+iOZggW40ELTgBTlrEl0acGHjhAG1S/win5IJQUtfZxe05H r18uxpN5WiUIAfs+CcTDBj/4uhKVQBj7ExNdTx1muPesKlci45jzcI2jv7obnJYpnsHLpBLN AyDm8cdoKxC5EIqP8xvEXb48n1+/j8T7C6w0uG3/3/78NmKn0+Flb1Hx8/kZrTjOU9w+T4nx 8xUzf5ObIk+eBvKUt4MSa7khptCKmT1u0/Y7splAQH6dcK8izEZeYvZxYnoIHiFYorYIVlCN PBIvNFvSVtk77E3m0NNb123EpJRMANOKjpRxgrOPpifDD23cQ22orTlMYnYpfjshOGbBLjyD +qCKkx57H224lFBLzSDL8U0sF3jykEKznTRYVsRTAkbQSTN9IA21xONUKeTWJ8F+6oULeDLD i8qAbyeYWq/YmAJSrzDg2ZiSegZBB2s3+HKpxvcDaR0aeVXMxjjymu9/v4VpadstEM9iA6tL Yms14BkhYwCeyW7u9JBZFUmiCcWnxOiNRrGFdMjXxgeVkpNEUnkzOwpwwbbV3jEOTxmA4oHF BG8W9hcv/BXbEQqGZolm1FRxcJKdrfDEDwlBtCBUESRJDeG11mLSNIOmkrjCw3KbLySxOhv4 EHtbtGux88pD8H6Qtanj8AJMilgIhzchG+h8ekUGJTssHQxs1QlE9fz+/fBrlH38+vZ6bNNK 7cPMbd2k1dIcxhQZdd12XUVge8kqPG0AMyC/HY5dn+GWiJdXtB+gQO1+lVC0Ag6BvROGp1BZ W9Tf2u8IdaNK/hOxGvDI9OlA6b6y75m+9aKUWsyW4qcNUov7PipMtBTmYDTwgoVOjARgaff5 rb1OX9lo4SneS1IeYOr4yhiBZs3KgafXEDawmt/PPjntBOvRcqiP+U+EdxMyaTvd9GZxpX+2 zQ1tfiVa3VARlh5dVzbxckJMUwEndXvIt8YUCllUUdLQ6CpqyC7WstnNfc2FAh8IXNsZCmTk kErrh1WKT6MfEK+8//nuskTYS0SBQd5dhvXtFypw1GK89k7NDVY8lor5XUPPIwp3N3t6c38X WC7yLGbqqd+dIWvuw8bT4JtLDHLHyt5dlM0qNxtoNlB+xGG5yjXEccWSZU3FStrdIDPoIDbX NxlCvh2fj39Gx8PHef/ua/eKyfguMBJEslQC6m4GH/liZLngKfedHaR/cacNu9elynjxVC9U nvaySfgkicgGsIZPdVVK/050i4IgXTDtO38ExkO1z17Qa4saBHsLoTVSL0DfsbEKRSJD56hR vo04MhsDuQD5OFA/eI0VddNkWdWBfsFvJ71/fS+Q3zRgzAIV0RMd/BSQUBdgGwKmtm6R9J6M BpwuBktdM09k1B1/fFq6c1BfqXRMBnuIEWXNR6DdZSyL89RjBdG+jUwwe1uo8lgoUoR64Qke 1MWm9OFTktqoPzQ8fMtFZO4AQfseLKqO+FfS/t2+rV7uZBAt3yEig5jgGU0YTpWA6zJ5kgca pg8F8/B8AGWa9Ithap1zaVa/FRPKL/4LS8csMz9fgwOBM6MOlp91BaHixHWW50U/NDYgsOWC 6dtJLoxYy2XG4N6Bx7K1L6WSPHC9wf/XpliWhDFJPNlBKalgwucqlpRuE8d+xjG1hpO415W0 kEHWxEUOxwvCxZ3TOWEt/fxz3nvD/DOsXavhvkciqcFpyFKS+9V4WwmogZ9MZgTKVjy27i1v k3XeYQP4H5kj/1+VhwEA --/9DWx/yDrRhgMJTb--