From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1755188AbcA1JkS (ORCPT ); Thu, 28 Jan 2016 04:40:18 -0500 Received: from mga01.intel.com ([192.55.52.88]:16258 "EHLO mga01.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1751488AbcA1JkM (ORCPT ); Thu, 28 Jan 2016 04:40:12 -0500 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.22,357,1449561600"; d="gz'50?scan'50,208,50";a="642711370" Date: Thu, 28 Jan 2016 17:39:19 +0800 From: kbuild test robot To: Borislav Petkov Cc: kbuild-all@01.org, Huang Rui , Borislav Petkov , Peter Zijlstra , Ingo Molnar , Andy Lutomirski , Thomas Gleixner , Robert Richter , Jacob Shin , John Stultz , =?iso-8859-1?Q?Fr=E9d=E9ric?= Weisbecker , linux-kernel@vger.kernel.org, spg_linux_kernel@amd.com, x86@kernel.org, Guenter Roeck , Andreas Herrmann , Suravee Suthikulpanit , Aravind Gopalakrishnan , Fengguang Wu , Aaron Lu Subject: Re: [PATCH] perf/x86/amd/power: Add AMD accumulated power reporting Message-ID: <201601281731.NBbfDSwJ%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="LQksG6bCIzRHxTLp" Content-Disposition: inline In-Reply-To: <20160128090314.GB14274@pd.tnic> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --LQksG6bCIzRHxTLp Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Borislav, [auto build test ERROR on tip/x86/core] [also build test ERROR on v4.5-rc1 next-20160128] [if your patch is applied to the wrong git tree, please drop us a note to help improving the system] url: https://github.com/0day-ci/linux/commits/Borislav-Petkov/perf-x86-amd-power-Add-AMD-accumulated-power-reporting/20160128-170527 config: i386-randconfig-a0-01271607 (attached as .config) reproduce: # save the attached .config to linux build tree make ARCH=i386 All errors (new ones prefixed by >>): In file included from include/linux/kobject.h:21:0, from include/linux/module.h:17, from arch/x86/kernel/cpu/perf_event_amd_power.c:13: arch/x86/kernel/cpu/perf_event.h:660:31: error: 'events_sysfs_show' undeclared here (not in a function) .attr = __ATTR(_name, 0444, events_sysfs_show, NULL), \ ^ include/linux/sysfs.h:93:10: note: in definition of macro '__ATTR' .show = _show, \ ^ arch/x86/kernel/cpu/perf_event_amd_power.c:236:1: note: in expansion of macro 'EVENT_ATTR_STR' EVENT_ATTR_STR(power-pkg, power_pkg, "event=0x01"); ^ In file included from arch/x86/include/asm/alternative.h:158:0, from arch/x86/include/asm/bitops.h:16, from include/linux/bitops.h:36, from include/linux/kernel.h:10, from include/linux/list.h:8, from include/linux/module.h:9, from arch/x86/kernel/cpu/perf_event_amd_power.c:13: arch/x86/kernel/cpu/perf_event_amd_power.c: In function 'amd_power_pmu_init': >> arch/x86/kernel/cpu/perf_event_amd_power.c:432:20: error: 'X86_FEATURE_ACC_POWER' undeclared (first use in this function) if (!boot_cpu_has(X86_FEATURE_ACC_POWER)) ^ arch/x86/include/asm/cpufeature.h:319:24: note: in definition of macro 'cpu_has' (__builtin_constant_p(bit) && REQUIRED_MASK_BIT_SET(bit) ? 1 : \ ^ arch/x86/kernel/cpu/perf_event_amd_power.c:432:7: note: in expansion of macro 'boot_cpu_has' if (!boot_cpu_has(X86_FEATURE_ACC_POWER)) ^ arch/x86/kernel/cpu/perf_event_amd_power.c:432:20: note: each undeclared identifier is reported only once for each function it appears in if (!boot_cpu_has(X86_FEATURE_ACC_POWER)) ^ arch/x86/include/asm/cpufeature.h:319:24: note: in definition of macro 'cpu_has' (__builtin_constant_p(bit) && REQUIRED_MASK_BIT_SET(bit) ? 1 : \ ^ arch/x86/kernel/cpu/perf_event_amd_power.c:432:7: note: in expansion of macro 'boot_cpu_has' if (!boot_cpu_has(X86_FEATURE_ACC_POWER)) ^ >> arch/x86/kernel/cpu/perf_event_amd_power.c:435:17: error: implicit declaration of function 'amd_get_cores_per_cu' [-Werror=implicit-function-declaration] cores_per_cu = amd_get_cores_per_cu(); ^ cc1: some warnings being treated as errors vim +/X86_FEATURE_ACC_POWER +432 arch/x86/kernel/cpu/perf_event_amd_power.c 426 int i, ret; 427 u64 tmp; 428 429 if (!x86_match_cpu(cpu_match)) 430 return 0; 431 > 432 if (!boot_cpu_has(X86_FEATURE_ACC_POWER)) 433 return -ENODEV; 434 > 435 cores_per_cu = amd_get_cores_per_cu(); 436 cu_num = boot_cpu_data.x86_max_cores / cores_per_cu; 437 438 if (WARN_ON_ONCE(cu_num > MAX_CUS)) --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --LQksG6bCIzRHxTLp Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICLXgqVYAAy5jb25maWcAjDzLdty2kvt8RR9nFvcuHMuSrHjOHC3QINiNNEHQBNhSa8Oj SO1E58qSR4/E+fupKvABgGBrsojFqgJYKNQbYP/8088L9vry+O365e7m+v7+n8Uf+4f90/XL /nbx9e5+/z+LTC9KbRcik/YXIC7uHl5/fLg7+Xy2OP3l+Jej9083p4vN/ulhf7/gjw9f7/54 hdF3jw8//QzUXJe5XLVnp0tpF3fPi4fHl8Xz/uWnDn75+aw9OT7/x3seH2RpbN1wK3XZZoLr TNQjUje2amyb61oxe/5uf//15Pg9cvWup2A1X8O43D2ev7t+uvnzw4/PZx9uiMtnWkN7u//q nodxheabTFStaapK13Z8pbGMb2zNuJji1mwr2oJZUfKd1YnBSjXjQylE1ppVmynWFqJc2fWI W4lS1JK30jDETxHLZjUFri+EXK2999HqFds5zire5hkfsfWFEaq95OsVy7KWFStdS7tW03k5 K+SyhnWBJAu2i+ZfM9PyqmlrwF2mcIyvQSyyBInJKxGJywjbVG0lapqD1YJFEupRQi3hKZe1 sS1fN+Vmhq5iK5EmcxzJpahLRvpUaWPkshARiWlMJcpsDn3BStuuG3hLpWAD18BzioKExwqi tMVy8g5SDdPqykoFYslA00FGslzNUWYCNp2WxwpQz8BewH5ao6oJrGBXu3ZlYhk4PWl5XjBA vnv/FY3+/fP1X/vb9/ubH4sQcPvjXZqjpqr1Uniz5/KyFawudvDcKuGpUrWyDEQJir4VhTk/ 6eGDaYKCGDDhD/d3v3/49nj7er9//vBfTcmUQMUSzIgPv0Q2Kusv7YWuvR1eNrLIQJ6iFZfu fcbZH7mhFfm0e3Q9r98BMngYaVtRbmFxyIWS9vzkuEfyGpSg5VpVEhTh3bvRm3Ww1gqTcmqw Q6zYitqAouG4BLhljdWROWxAOUXRrq5klcYsAXOcRhVXvqfwMZdXcyNm3l9cnQJiWKvHlb/U GE+8HSJADg/hL68Oj9YJQQccj1rFmgKsVBuLKnT+7l8Pjw/7fw/bYC6YJ1+zM1tZ8QkA/+W2 8LRYG9Bw9aURjUhDJ0OcAoEt6HrXMgvRw3Pz+ZqVGTmYYa2NEeBsk2JgTZaMn7RxZJlEgRyA h+i1Hqxk8fz6+/M/zy/7b6PWDxEGjIjMOBF8AGXW+mKKQfcIngop0sP42tdfhGRaMVmmYOCS wVEC+ztfDh6eHF9i3UgCoZ+D77RrCBxZ4DxNxWojQhY5hnWjGxgDTtrydaZjd+uTZMyy9OAt RMQMA2LBMM7seJGQHzmi7bgdcVTF+cAdltYcRLbLWrOMw4sOkykQFct+a5J0SqO7RpZ7vbB3 3/ZPzynVsJJvWl0K2HtvqlK36yv0ekqX/kYBEEKv1JnkiT1yo2Sk5ARNaTKEJXD3hkRXm55V COsf7PXzfxYvwPPi+uF28fxy/fK8uL65eXx9eLl7+CNinlIJznVTWqcTgVrRvozopK0tTYZm wQUYL5CmzM4ys4Fs0N89BLkciQb5LybUZTwVLa/mzcIktqEWEPu4lzHCAwQ2kLafjzqK4D0G KRMc43jguCjGbfQwOSshn/Zi3wiEsM3y849n42scDnR/bit77lvKlcM3bZy5goClPj/yMaXm S9y9kL6Hwh9loEcB8krUOrmXARWsfpYIZQsOVLRLrVM7TulFu5TlsRcr5KarLXwt2/ShAVQo mRzgZDl4V5nb84+/+nBkUrFLHz/sCHn6Bioil9tAXp05F+B5qVWtm8rEAOdEfR47eA77BJJL MDkM3Ep/A4E/yNmNPxWusq1k1uGS8u1mA4oZc6K8nWySKrxhIIROnvL+3YST9LqDg5XkieWS zFJbW2w6Ej+LwIQ7wIzTrQXfVFpCog/+yupaJFeNyQcEInAjSbTbQUwD6QVpmp3JMfmvasHB faeYr8OqDDmGXaPEts78UhqemYLZXBTz0tI6i1JOAESZJkDCBBMAfl5JeB09ezkZ50Otg1E7 qgXjtAncTgkMQ7nvqbJTf5l9PIsHgulyUVFRF/mbrvI11aZuK6jNsVfgiarKx4fYtUZvUpBR StDvQDsNaJ9C196F+QNb+AYFriJB0me5ADY75Qmjh7RBcgEutbRBRRQYfSSIlCFApdXmjT9n 3ljhFfai0j7WyFXJitzTMwrePoASFB8AYm/HvGiUwhqMPcETk9onY9lWGtFPYFK+hMv2SyPr jScv6h9kIotVA1hthyyM4nHXx6r2T18fn75dP9zsF+Kv/QMkHAxSD44pB2ROY6AOpxjY7Op1 RILWtFtFZXuC261yo3vv5ztvKDKZhQzQ21JTsGUgtaJJ1wum0MvE60BuViiwE8gUwftsxK6O kiTw57ksotRoiOtgXuT4YsPUbphnez2kLZV0WjHifmtUBdnzUniqNPYTxuwSZ6bGIeg5aBq6 S45Z2VwdJPJcconSbMpwRJTo455gQIcUELK9oB5EIwenapu6hMTBylz6nNNrJHh8xSoUVdwA 3MRdEQeF+ZIIcIrpAQ4KiXibp3waLYIQa603ERJ7ilBs1vGkCIdnK1eNbhJlh4FNwWS9K6gS fS0IRTuIaljekNuj5mz0llqswC2VmWuWduJvWSVTXFZyyE183PoCtF4wF2MjnJKXsKsj2tAb 4zjx9iZ6hosqmsImJu4tuu6WlzUq7tWQtFIa3jVFt84kDMsh5VEVtmCjGTqo6xfN4DLdzHQn sXfhyt++A5XgzwiO7qUFC7UT0UC0ptWhfgsO+U2Q/MTIVHoW00yS9ykFCLspWJ3OHyfUoHo6 6aKcgU4LvRkDKrFTILqeLmahKTrq94IL93Za6awpwEDRkYgCVWW60cZhwBa0mva+ua52naW1 tvDdfgGyglDMNxeszjyEhvoDAm7XoT6ZIBgdlPSBbMX19v3v18/728V/XEz7/vT49e7eFcyD aJGsa6Olgm+/EiLrPXqQdNBiehfiXMxaoEjDoCXL3M8PLWRUkFj4jo+SD4OBEsrCsQJwgk7w 1m8BFZsFuEE/fTd4BKMYX8vSE/yyK5eG2YtlxvKZigCz6KVZ+aMHYCGDKDwm3Vasaml3B6aE LdfWFoFKUpmhMjomIdOt+12srp9e7vAsbWH/+b5/9ncOCK2krBdyIlbyZHWgTKbNSOplRLkM wK5dqBfm5s89NuD9HEdqV6uUWvuNvQ6agQYXgZh7DM+/BDaff2ldIdYRJPjtm7fepF5O5XAw T9JL9Hhk88DU3cvP393ur2/BHPZDIQRVllCVHSKGnzWY8qNfTLkTrQrSh6ZEpQpbjR2ebNvh D+GSYy9q7EXMDPaR4ejwjIZZjcG6Vl4b1x38EeugOvqi9N0/TTiDGxIn6nVnREZd0ZFkHhMP ri/SQyfwrkUx2MPT483++fnxafEC9kDtwK/765fXp9A2rtCFZuF5Q+8Z4pOyXDDIE4Qr1319 Q6SqyB6T+ob4Jfhjla7dES0uLbhqPKBMFF0BJbqOoi0qk24WIAlT4zxdZybVGNcmb9VSBi2p DjbbTcfpB63pzityJoumFrFETo5B4+ShlgbonIV9w9M7ytCSDab1DlIpKOUglq8a4betQeBs K+uggdrDpguYkgzalxakKFMVNpRhPRvjydNWdXVcnp6roCFu4GGeDnSdY9KopVdqaki689Qx Kp5+Pku+UX06gLCGz+KUukzjzuYmhCTEykZJ+Qb6MD5tET32NI3dzLC0+XUG/jkN51AG67Rx K6olhS7T2AtZ4jEXn2GkQ59kM3MXLKWFaiV0JlaXH4OtJmBbzGwPhwL+clbIW8n4SZs+liXk jMA4VLgzozCmzHiQLgsM3Ss5AOzldXdBXFv7zCcpPs7jKkg6wUWXfglMzhDLe4WZu9+mGz0p 1miYYoc4sIAQ0JVTZ6chWMlSqkZRPz6HgrfYnX/y8eQWuC2U8QJkd2SE1YkoRHgChBMZzHyQ uXSN01HQhoKXTZVVHQkEAq9c6MeBLFhTp15KdY4Slh2etlE8uIq1roSNOzeZXymXdOnGnH8e Yiv5f6OCpTugSjW/xoQrzPR6+FYX4DBZvUt7V0d1YF7yt+HOUk2NjYdYTXUCWAtIV61rWS9r vRElOWNMuUykMHwSKAE03e4IH+wkqXXp+lcq1nekxmrRrKHam6Jk+VukcVs147hxyMez6Dbe eISowQiXqcRJft7E0kFh5PIyOHKChBPsAOw9AXLyCLzbgAJRpFzigMcil3xJHrTDorndDaQU OkKQ4Ewdbxros0w77VLjAXXUox5blQ53mmxJONzZqVfxbZWpCkiTTlbhnjnocTrF6dEf0wnE CoSU50bY86Mf/Mj9F/EQrr9icQOpWu+gasiyurWu8RrhqWk3j84hO4W3tKJkiZt1lEnPo8ln 9sknFPd+R0UWhViB3Xb5JF7BaMR4enxwbM+UYmXDwiOHgSOHS0i1GxzO1lI4c+P8nsMwHd4M 8H2Ja1wKtQxzuwDcTepP6EQuDWd1lhjeLRdy6IJ1VXzYOu8SxxZ7LzT9jNrQTcChVvEXhNpW WWKPPP1pwJrbx54MqxMbN1joDIP6UknjXtUsbEscUMC+psMtWI17vwQf7zsEl29D1uy3uJVq En3gjfE2tm8PKOzsu+s0WX1+evTfZ6GazlZJ4a4kqqf1BaivoaNNdNZp95toSaZCdiEgUmDO 5L8gr3Vp8TQjNcI/vYWHxJ2AHpinum2IxQu65vxXr8yutE5ZzdWy8dToyqjo0mp/IRREXQWN sJ6ULGgE9+1F8uH98ctc0wM2UtQ15iF0POEcIx5/x76+QttAv8LT+QX6zMqmxE+RAi8BQP2v 8YZoXTdVbILUHgALxMpO9WoxkroJZiaHOA/VMbY1L87PToPsG8xONc7g0wm6rdNNdJKS60bP dQCcVIcRIk+XFd3hQVpoV+3Ho6M51PGno1SAvGpPjo4CU6FZ0rTnJ2NYc7nlusaLX55di0vB A9WumVnTWU3KA4LLkZgUgs7VGDs/hqGzFpgz2jBkDV19alvPwekuzxCTj6OYjCKn2+v0BhM6 QeKIipxh5CAC0KmiWXVXpcYm9KBrHkFKhK6n4RNNPDak3plJX6jq+9TLtOn7gaHT+e5NQwvv 8e/90+Lb9cP1H/tv+4cXauIxXsnF43fsdHuN5+6ow4tI3e38sSvoWetwtz+1yRCUCyE8p9FD uobgWFUoupNDuHTZodoLthGTFtOAjmab67ldfIF05gKSmfHUuotBnmfj/rkpPnUOqyV9NJNz D/fRB13wd+dXOKTyP/wgSHcNwL0ffS1MNflgxVF2UhvdCM0ISXVu3PiUEiBNLbat3oIrlpnw P6cIZxL8QNAhChYzv2QWcsBdDG2s9TMJAm7h3TqC5ayccJHppCse1kplfTSPrFS8NzOWGU7T stWqhk1MH50SrV2LWvlHvwTljbEa9Mlkts3jLxJiinQIIL7pZphToGGD5jiJTufdSjiqhY4K a9D0qFfgWIKUhMlyAu9FJXVXdodMmuWsPqz9FNVfthJ2rWMcJAINXhJfQw59AQlMq8tiN3kd /DV/uZ6UsBLxFYEBHl4fSJCPlKt1eMQwYsK0cX73iFhABjlrLkSAX0Cl9g6S/EKH933whEhX oJFpz2ny4CiBVUH20F/RXuRP+/993T/c/LN4vrm+D25lUxOtFv5V/A7SrvQ2cat8QKNnmm2W EUWfteNEeDcDPwYseVp+6UHowgzs50xjbDIAG4t0qzPJsU+poZoCbtLthOQIwGHeB0HsMD/R apOc/L8XFy8qhe+XMvumOc4H/fga68fi9unur+CYeWzeVhSSIv/COb4yVCRqmZELeAsD/y6j CVE4pb5oN2dziF9nEVFkDrGfIzZU1qmzKI0ECUkbNaJWl5TZKB119iDZERlEatfdrWWp38K3 UZ4aUkn/+6MQZVRg5rSgU3cYBWzN1UCdbEv6Euc4nqDQ5apuUk6lx65B9UOOxKi0w6Hv85/X T/vbaXoYriC6kxEi6ftUvJIAxf2k8BqUVN7e70O/1X28EkFI5QuWBd8jB0glyjAFwLwMk30z 0nHdVEV4C4I4Wb4+92td/AuC7WL/cvPLv70rpzzYKgzHK42FaDpdJbRS7vEASSZrkb6cT2hW ekqLIHxjCHEzhLD+xRElfdwVDefl8vioEO7ybrRCganpspm77wuYuGsUrE6ZdCVLvMzk54ir 3ee2fUETfrNJeZBtPLeytuFtDKQIvhFCgNTbmL2qnmevYkam7A9x/QVDV1eBpvz5+PyyuHl8 eHl6vL+HKmviY7tvyrv7mOMFAZO8KsGx8vSqL3pe10OiN6p3IdPnk6Wwnz4dfUxMvhK++qCP LJe+oLDpGcpJcZn+gBRJI93oJPL+5vrpdvH7093tH3tPCjs8KxtfRo+tDvyXg9WS63WCeYe1 Mp6jOz3xNKJLcyOb9cCu4P6Syj49IrlUc+OpdD48mh96Pf7vCnbp00zXJqbtmnFvEpt1lTrz q0H1MunfBXQAanSTZtGHaEcxujPB+rK1ly11+vwVDZOAbotyBQVHkr+BbMbmx5c1Cjs4VJm4 7/Suv9/d4v24v+9ebv6cGlY/0hr56dfL6ep4ZdrLyxTLOOLs8wFmcCgIfRJe8cuS5UTpxY/9 zevL9e/3e/r1jgV9xvDyvPiwEN9e76+jEIr3MpXFi6ojyx3M8FpW8e1rhpvjN50cLYKTAu/w Ss5cPcGLBjN9Ofc+d4NN6qDhWylOmBECfiZ4gEQSimwzfNZR7l/+fnz6D+adYxrh3dPhG5EK fU0pgz3DZ1BUlrxDlfsfF+ET/axGsGsIxFw7fTCLWNMsQbsLyVN3SInCnZqIybx06GSs5Kkg SRSyQl8TymkjdhOA94o+PgTylZX7Hir8LBmg/UXUlo7Ngwgh8a75soUkVRCn6WSln7nCrxCo w5U6iK7c/B0p8387ZcBB+rjUfmd2wPCCGQipAaYqq/i5zda8ilaAYGqzzjGPBDWrU+pMSlnJ SPyyAjUFd6SayxjR2qYs/YPMgd7napxk+FI8LTJFq48WpHxBJmUerE4qo9ptKpqPWO8CidmV YOB6I/1r3shwk6VXl+tmAhglETh8jEJ0i75OXoLEwWwdKnArTBVBYosgINlKzB5hkkBnlHh4 6w7vdHh1MaahKeZYHumWQkynKWY+cibkjFuyvMLqfDUY58j+gFr6h9UDlDfLsDM3YC6EsRc6 WRYONGsbms+IMPDnwZG7ZcES/GzFipnklPgtIGruoVmLKjmlX1IP4J0g3Zm+SBYFFNky5ZUG moy7lU/EmQV9t77vs5xJpYbb7s1bFOtInlMCFOhBChLtGxRl6gdYhvv6PNrugf0sXXP2+Prw vL30zt/d3rzcfH/nS1Vln4xfWMpqexY+dXEI74PloefrcXQ3IunPgMJ9sowhtc1YFlvjGTiY WWs8Q2czY+VnU7eDb1OyOgtdy9m8KzobodF7E+7oAJeHHNMsKfqm2bWNZCTg7rPvyQUVWrJJ dt0JNVk0Ale1iIUWRq4IC8kUfh0Ug4dQOAW+MeE0xsGa8Weo8ExcsTr4XTK8OlN16UYenDn0 g6r1jioeSIhUlb4XDqTDN3r+eAecLWRGiqnbX9YyW4lgZpcMPz7tMVGGsuFl/zT5Kb/JzGOK PUHBX+AoNwdQ/W+kzOKj31maEhT+z/eUObqJEj+J3QRQ+lWN6AdPfOK227VRtj6y29WUgH0y vJpkZuZ3R6UzyOmH4wG6q4bTnZWYkJToLU6pYxRxY+lDZiiKuR+3fExgdz7CcFvF3Pc4SPIK mbw+E3DE8FyBzYogt2+u6f8oO9beNm7kXxHuw6EFLqgetiwdkA/cl3brfXm5kuV8WaiO0hh1 4sCPa3u//jjkcpdDDiVfgTTRzPDNJefFmXQxX3jmN2tCb81iH0nvnZK++PA+KM9PbV23tacb nJWxD5U5Eziuqn/wLfGJmeBBkUKeGugb60ilr6itNF2w1G+pwjbPkh7s2UAjqt8oGEUuPSC8 4wakWlMMc2cRoP75A2wT2/rqcYKE5CL6vb9DDdk3wgDS4rHZfo8RiCjekZ1owRibRo1ZIfiw ttaMtL4FEkOQ1xuuIGU8xZAxro4BtE7Ptg9+iPvC+I3dFzlrng+mhXn14uRm82Kb2OsTOaLl RHvmQvktUYu5HxZOXnN7qRx7mdw/ffvt4fvx86SPOEldcfu2c271EQVfao9GNb8enn8/vvoq bFmziVuTLzhFNTZxisozbo1Pz1cBFinLf4Miy9HHTxFg7wKKxHejmqSlbyl1JSWE3qnP0CR4 l5MkXj7DIKo0X3FyXKAyo+OBktQnjp+Rqo1tbY9LAmFAfMYXh5rgaE7XHtYFd00reqt/O7ze fz3x7bQQmDKKmvau9g9EkQU19RKfIHQDclFEOUS4oTysKGLBIKqIBSerFN9icNeSOkkPuRUB xEdlHb001YlveCSyGWCCqt6exFuXOEEQ76xYaRQRP1NLHJan8fx0ebjmzs9bGue190jrSU6v D6Ezd0mEoL05t72F/PjOjZPP29MN2gHDKZKzU1OYfpUkvvGfeD2JlJUtBYOfvEzsuJgEUcXf eQpY0QkICmVGOU2S3nGxn8/0qb5u4fx6X79utpXFwbk077wpeuKY5cXJUYhr5PzpBRz4+VO/ p61se9hJanDW+n+IpUrtfYPnbYMeiBAk6oY6M3pgbd7X4naBDK1Z3XFa21V3O6QeEj+1CtIs veP+GMYSK7jTLshaDqE+VRQWOClenw/fX348Pb9C2J7Xp/unx8nj0+Hz5LfD4+H7PdgxX95+ AN60Y6oKlcRFK9lNCiGgu31VKJba+kuS7D00jPKfMAl60XAc+osOQeMOraEudIW6bRp7NfLQ htzmoTtkjwJY1hC4dQDMNm3CIvvHyVO7Dh5HNqi8QZPAUzQPVn3jplkZZQ4/fjw+3Et93eTr 8fEHNYNl4pGy+iWBPA21w+5l9b/foRlMQG3fMKkrNR7UY42MHyUjyTpi3Chkq5JYMk4hRniv yRf4s/KjReM0whpbkQAKRI9FVyGdERltOYoKG6iHQOEkEGTwbdywKCbKApIuRuvtJMZWUwGw V6GZm0Fgsvq0PViQiJlxafot85/l/7tplv5Ns/RsiSU1m8OGWNobZlybJb2iBoGjR3aA/aqR faBwxIou6RVFhqyluRh4mSSqF7PoA8igiLfZ8sJbHhbhXA1V3XKnZy4fjRAwmjRmke0PYpAU Z7ve1K4VBBPQd7SksIMc9uBBEP8VieEYa2gC3YbLDWlz7vENu3VqRXoN3NK4L4i2tCaCDHcx fhDKtIO3VG/u6RWLeEfb9No0lHRxYKs7e5xAgKsJMqAZqNaZbYRE4zcwq+m8QyeQgWMFHerR JMHHtoHxJC1BFHScDINESlPniLxqFYPGL0kYRLz1DWZHxw3CE9HEtRnowkBGvtmHrnetp1Gt qDrTaV/dSAVnwC3lnLhOes2DvD3g35MwzKIX38XRF+iAaG6/dTKRCw/YV6ZNmrB/TEBhdKmx m33I6PRw/4cVXFMXPCEA2BY0+N1Fwaargl/Dkpp0RaHdK6R7FSh4Q/CHcGsi6HjKZuRG9ZaA +Dy+npzrwbtabiLSpQbl5YFf4hSLMmZLLqylXrRjNQr80i9NzbISvltQozOLew7KbFOIJYSA k1YU7R4PH2x/INLmfRUOGLy3OMp9RgO69BYbsntwy6DFsKAxZE2AiL0YwXZluXmIy4GIQ3qG DEIjtNvsGvqkNWgKH00Uh7RhJzfFL/HDEs33RBHWshwpriDoKqvrPAYE7Xg7vyThOaupGOp1 WpWmO+wyr25rVjqArkxDEii6xN3yEgNMmK2KNvEpGdrUpMDMo4kpqiDL0dszEwtXOlK1mEj1 wel5j+MYFvTygoL1yiMS5cyUOBTsmmAbqgCt/Rl783Z8O4qD9Zc+NK11xvb0XRjQUWE1Pm3p QPkDPuEenZREy3Q1dieVBhTbSHtMQ4a31VieBFQhnlDvQDS2jW9ytwttkLhAIfhFVAMR9xvf JIH4G0eaHEp6oooMM3EDM3SSJEyra6+eUFLcnBx/iOM6aXBy48dQI0nT5GQn6syjKZRYyulJ FTNCXISPh5eXhy+9LgYZx7owtwoLwPDUxAK3YVZG8d4eBaAkB+7Rd/Qkye1J9HZBR3gcWuA7 r8J4ICClaN1+LtPHOeVCf76bYT58tsChYschroulIHiiGHOMDwBSZgL/vgQSCK3uqRjQRdY0 ll1cwm0jtmoOskxR/eAZ7WOk0ddBX9JChHzrfLEA9wgLGo2y3wxfTGZGaY9CgwmOSsi0wKt8 h6c+ENwXkzHIicaqOi53/DZrzYfHBhBrqEzEbp/jOB07da94nLV6hyYI3kWPWaLBRd64fGr7 UwRIt+EVpjGuxqHBlHtMy53qvzIqae7WjI/YJDKpnHle7YmUXVAVvnMMhPOEBYANpA3jdx3O 0BPYdwZ8PIN50HwbNXk9vrwSl6uQWTcxHWtKsowNRNqvysyKZzJOFSsaFmWUkj00eQHxA6tM ABCYTC0ANrfDISu2d3T8z8P9cRINr/GGVoF2FzK634Dk+Sms5bRl4SB+kgrA7dGNNhH1njYw JWTQosQR/pTEIibgi0CrEUSJMqa2t8CEBZJW2i7NsIwEkjipdwCXkDxprdjXQUuF5VHP0x/f jq9PT69fJ5/V7H92Zx86EGZByyMPT6AItoxU2ynkLg0zNKSi2eUOoOPoMSlLxHfQmGKjhrgB 75r9NaOYNHin1myR7us2gzzE5rV/G0sHMPP4kiAwYhg7NtkAf4sCOpe5BMncwYUVlHHcZ31B 2GZxXkF+61vWQIZoescN9E288aobBqIwbiAWYqgyYVflFonEqC5xUOWQl0VsqLIlAwOa1DLM AsQszxqyRq1cqM+Mgth7LpGKLM1yaDmiBLWBElYGCf1ZIBFEmV4iMZI9aIjMg2L6ng6IJoSA kbxtrNi2BF6IISca7aR+qY9DOdbop/r4j28P319en4+P/yDaLWJO8UMDPo8jTnbYH5HLrJtD YEUw0CCxEVeiA2HYyLJSqSzI5vu3myeC/Y/dyIt30fGWvYcsPZVhYKCCdKK+b2wgygLO3TNn QNeEW4BL1Ua5330ADQ78oWS4QZlacToeXAJmnmNAolZGZmMfY3c3yXVmMg7qt94jGJiV9bZ1 oJsap+oD7mBNxiJlmcF7wi9bFythpfSdtoBbbqb7jOvUjvuiYfDoq23v/JM8EEJaEpO7JS0s yOdcfH/ZJmtxNGEAlyEdyANwKcb1rNfheZI8HB8hteC3b2/ftfn+J1Hi5/6CNb0rRT1CThjU zzb7M6a6f7jvwZPKfe++VSkHlXccMVwx7W1RY0Wphgleb1vSxhCxD8uI5bSyWCyHbDTJmkIG YpMJdcdZTQRXWjEUUWcgzco+RdWIEyd6wwYKI5vpUI9K02Z7AJLoLmF5HiDPSZlKDVSHOkKB wVHkwELTOAtqzJ7kGZuM3l8DS9lgAy+/40amFHLShyzf9ZbiSQkqiGJjZX0XNyjypla/u8zM ddzDigIF7+gJzag3EIODpwxC8AbbJMHiokzl4PosG0VVpOJ+f385vD2qiDYPv789vb1Mvh2/ PT3/PTk8Hw+Tl4f/Hv9txGuCdiH0aiG9dMdDcEAITlcjzRPDRIu5lpkUNh6+DFWVeQQIRMQo LbUMp6xTWGgnHgj85Hzy4q/SScInXWXU4zHqYmiN70r8AGWkzFsACb84jVI2PghBqKKMf5h5 K5DJNWVMXKxkdAkhyRXEW6T7aKY8s7tVJRSUNVcDWM7Y9kUccIV6vyETtLbgNqeinEzyw98o RAvUEOTX4iOxqrXiqidmLuLS+dU1plm/x49CRRJBBfT5yJOIfsrNC28hORuVh2EGpB3wGyGH FG+QgoPZHvEqsg0rfmmq4pfk8fDydXL/9eGHG91GrlaS4Wn7NY7i0DpIAC7Omo4Ai/KgJZKv qquS2zsH0GV1cjBAEoiLQ3zAzqgtstwgc7uxiasibps7uw9wlAWsvBZ8UtSmHSkfuGTzM9V4 khi5hFQQIKpbSzwiC22mcNEDzmbUdGdUNpgBeUEW8WRSgk3q8S8eikJoR3Ftn2iTFRG3zy6A C8aCudBtm+XWYcYKC1BZABZwZV2TW784/PhhhKKEWEnqAzjcQ5Y5a/9XRS36r4PWW2cIeJJb 4dMNcO/W6Bm6JqoSXKeKtwbBiZMcveqTIymiq+XeGWAWpi4w5sHcAYbXq+lFT4sPlDCYd7JF 73oK1vz1+OgZTn5xMd3srenBAcjkMVFDzp0ootkaORYZDHQH2WP9RJART6y7ry/DCyS95vz4 +OUDMBQH+fhPELl6LLP6Iry8dL4eBYUE64kn8J1B5ZXfYK5zZ8/WqQMSf2wYxHlvqxbC1oPA Z+ap6LFxIxOqAnY2X1lI8R1ATO6RRxruwbniHhT/9fDyx4fq+4cQvglH2DBKii26MfxsAvUa ibdd8XF24ULbjxfWfrLC5JrHShmXrLQOhR4ImoIsuVP5MGkKJyeZiaxa54PVqPke7rCNtbPk rOQ1bNp/qr/nkzosNFdKaELlJqxP7XIO8afJWOCA3QbWrSsA3W1u5IKyll4SBHHQ6/jnUxuX CDagsG9FQGzybRw4n6msLqfjo1coqorg2bZl1rb0yxaBhc8QKVFHWH9AjHAkUVRSGYB+F0jt C+yiVYGMmmhVora22WGIf54zikG1I+mrrNo4Qr4P0NXomYGGCoEzI7MMjcW0Bc4pK1B8K4QT jz5dk21IJwaNZfvV6mq9dPsrDogLF1pW/Ug0vMSZEsp6UPJJZSARgbN/u2IcF6IUjp3cJ0ZG 1oc+V3K5zXP4QZsQeqKEDrAtBpF5lOu6JMSV5RyO16xezPf0Qf7JOgJQLWF904UZKPro+Eq6 pYiF6yUdX1OTbH2pxTRBWN32kUxOkuVW9mO3L01Az9gw6wF1Fg/YXRFTa8X3NGuo8b5pDCPB goCRMYx2dL8YBGfdQaKMluZIIOWT4CXObZT09LDPTUvD8Q5RHOTDy70rs0Og76rh4gjmi3w3 naNTh0WX88t9F9UVdUxG26K4szJCB+K+NlNV1SkrW8y38Q0EFg6pxy1tlhTaUjXQS+DVfk/G 8gv5ejHnF1PE9sRlmFccEiVDoHev6TOtuyynbL2sjvh6NZ0z0+ie8Xy+nk4XNmSOUtLo6WwF 7pLMIKQpgnR2tTIjFhvwKwIuO7WeGsxqWoTLxaUhQkV8tlwhEW/X6y9BCeL7GIt6uroE/Rl1 GsuHp2bc6C0Per+BLuFsfYGGgDi/cI4vHPVb7BpBxZpuPrucauYtjgUDUxjPBPVCSrj4qubG kd8DVXIZB1yw/XJ1denA14twb9wmYXA1mzpbTUG9NskRKzY53xaDdkAOoj3+dXiZZGDjeoNk QS86GPz4PhJSuE8+i+/w4Qf802S+WhAdaYWL8YXayyRrYPBo6TBJ6g2bfHl4/vanaHXy+enP 7/IVpgoZMs4pAw9fBnJqnRNbZVcQuv/sO4hQRRZKvZ9iq7UKn4dZQoDHIikE+vYhQwh6TVQ4 gPQqhiniNcJ9LtNW0ee0QColPAQPJ1ZSckmZ9XolcrNB8JBnWuRyNicgO5QHoWGZEHbbtjGO DaDCv0BzjI4MgPVuP/QGkA0N6TeoMwUopKI1Gbaj7HvfaZWB/iex8/741+T18OP4r0kYfRCf xc/IE0Jfj540IGmj0J48Jz264iRPPVSO3UgGKERtjEjRYmjXNLppWJg6UynlNlZ63K8kSV5t NpaTOybg4DzD+F3pfm1yXlv9Sb9Y+wEkJL0DcJVJqBC+5cvk/4nd03HGvfA8CzhzG1NFaEZv IEgrId9y0pNP0TQ12W5e3SqDrHETAhzFElUgqWCH4N92HeF+EywUEYG5IDFBuZ/biCCea4iz qRa33V78Jz9L/0yktSehgMCJGtZ7HApdwznzriTr8wEgGAuhGzY0C69U/fpwVgAwN8AD56Y3 k31czG0KSLsIVj8hEXYF/3gJSfdGvq0nUneVCkdP8TmIrGD8+iNRCTjLKAM1ePmV3vMH6Nf2 YNZnB7P2DMYiMYfiNoFG4FSO+++uwfoCr3EP8jIC6kDeUR+ehL6jYNeKvuax3Zlit8XJbdSF Ubfi4qc4VTUCCJspPjJ7YE2Icr5LYCzanhvAQnBR8toq49tNXBKIoqCALMuDak9gbLZsQKjZ QoOt27kXqhxENkohaM1xT0Gc4hbZgqx+cbb6had6TLhNeBpS8md/rgjusHbWMthyUXFGMds9 B1bv8BGnjOri2q0ahkP3qFO6JCvrOY39YraeRU6h2Loc0EW1bUF0UnlvrNnbRGYwH31v2Qd1 VtuzDon8sMeNBrMZmTtVcTS1yyhlHpdThfyU1V1c1zP6mexIw8EtImwpdkNNahu7pz6/Ky4X 4UocDJQxqh954/a4brxOBAMBds2Q4Bu5T0DfNXUwjLwgo3CxvvzL6QCDbq+vKIFb8Z68Ng1x EnYbXc3W7hScPNjqQt9xuFBdrKZT3zNOnvU6ET8+olUpElfxSG0uX45KHOAI9DOl4g8jcUl7 dTjarS9uGo89B6g86Ww44OpieCAcDkmOXiZ/Prx+FfTfP/AkmXw/vAopZ/IgpKHnL4d7Q0iT VbAUW6IGoDQkQUY9asCAD+OdYYSU5cQkhbPlfG+BJa+iWzIRPMtNoVuCkmQQLkTv7+1h3b+9 vD59mwjxhhpSHQkGOCrsft1wy19Etb6nLdGACwrZgq2+zaoPT98f/7a7hnOntOCzEy0vpqBQ JbXPgqKos8yYJwkr+erqYja1oOAfgDXgsPL+xZH45hNkbdYzqT3gvhweH3873P8x+WXyePz9 cP+3a+OTpYf7dbR8kLkNdExOS5cWFl3mmEgQGtK1ki8gAFnjUwdA4JuGdE6g1Q1kTGDZB0pr p8QFiTa2Q1CPsNEJa8utZJ9KgxDH8WS2WF9Mfkoeno+34s/ProieZE0M/vCowh7WVanHA3Kg ED2iTvoBjww9I7TiJv8DPseQa6v3qLO9mCFFelGJSQxazxOo3lPOqDIzlqCMbd/+oCoj5OYs 9bSGQuxmy/LskxWRrjPdRjP3zWcb04ZrFu5y65nsrjVNdlmNCfRrqbFu8S9e5XZQwh7aRXcl K0gWRxDhB0TyCZCAyEy+jfiHOcYmw0+h1W/I0GXbnXtM42LaLXrnJX52O7kATcW59WhlVKxZ tgANVpYA1KcyR2/m+bbcQOrr1Ewg3YQl/kIURPAJnjtW46eXJ/ENo99g9uiQ9GHSyKpYT//6 y+6lhmPOT7eXiaPoZJXzqVKu04jeitq/r8oSQ81K2LalQ7YQASn9EqC4zB/OdlgdPGAsRZCJ T7HyQcJcjkYvutS5oDVXIBw6UMKQclYSqW0Wi8+blf1F4ByM0cPL6/PDb2+vx886ARx7vv/6 8Hq8f317JjxHdCyFYrdaxUukjcCo6XLqQ4GaAMKtC45966OZLWZe1HzRLWfd8tJLcOUtiwwg GhWIe4knBiKGNOVo2rFRHgoqBWS3CE3vo13VWKJAe1enPluKUQ2LWN3GtAulSbaJPSm0TaK8 jcmE170uv+UxORRWmCnGi2g1m81gKgwuBj6pxZwujRMSiJ/wbvn8iGCqPQle1UESxSUpDBmV qARh2G4YXFASjFhq8JsxnyuWe2NAYYkSRmWbqlxg2r31s+ONynuqT+E7IQ0W2JaFuxqqQFhD JXZMVU0asl22pW5RkyaNc47e0ipA1yIT5wjtZqStSuMXRE0XFKx/Qu22cLHzPXDXXRb8nNHh GM14uO/ikKHDLCr9AVt1nVHsi3ChCXBGiSifG7/ExRnZ2cY1TL4KONe8YMrymHKGN2k+hamZ I0/97soalEul+LDBX76LrdvarGDPfC+ze4rUqD6tZ9MpuQOl76HZRkzrVOJe7jB/mqmFNgH6 MUTwGU1km2BHB6TI9hvqVSOAsZENAIoF9JETzUqw2J500xfTM4dJtppfYgVvBnNJTdGvhc2G 6koK1uzinPZ7N8kEDSurM1tH8LPWA8xrvlpdwhtByufqmn9arS72tmeqWeFdQ/FSSczyck9u mpKJW6MwBYkBMDbAV4vVnJono6LVYj3FvZpf29I11eVyl0UZpYQ0aKpro4Pgi2BtJ3GXVf4L SaVKPZVj12jqxtHKklRCdLJfvbtUEAa7jY3ziGHnzZUQXMmQx4BoK+Ms7QFdnRFAIX7EXXub cSvYpMavZvO1p5GuyiMQcKThxZCJVrPlmtwujTjHkDLdxEWIUWiW04sze6aB+BiozwpyuhRn BUhE6FCXRwMtYJkl4/8x9iTbbRvL/oqWN+fcPGMgBi6ywEQSFqYAIAl5w6NISqxzZcnHdu5z /v5VdTeAHqqpt4gjVlUP6LGquobCiK8zo0p77JGFRFZnl8PWUU1+ysHdkjrsnTIu8BOtOmnC S53laE0gS3/oQNlrKdgX0muvE3Lfa0s2Y5lmxPOIEldkoqPUtUPSdXd1kUiyN5dVVUloGMqG Opaa8miZjbE4HMd3j46RrHTFn0pJywg/Lv1B899egHZuAEkwnkFWqlIj1aFz+akhNV27PJdO sLzYqfcQA9i7MNzuyGzTZdeV6uZJ8h6TEFoDvaTq1d8d7rgrMjcMLMsbgFh9C5IxdvxJU0PU uQoQ96MKzIHhzVpNg/E7XjMqqMJoFDIgK4GnTlTYqRyLYShUIK5vAVkFBSE8IJyWGNi7tl4q q+OIgynWJOuq46CXEQe9pUzDYlYk2pjAae06k3IfVPgiN7qO62Z6VauqkLEMVnTewVUdRpae 7Mqp0OcL07Wn5Zgm6onK4OjvQin7WBkYBp4CWi0j4P+fsmzF98Ve7w1qk5tSyfbRVWq6tK6j LYaHiggFj5Znv35/fny6OQ7pYguFVE9Pj0+PzIcKMXNUoeTx/ivG/ybSFZy1W4Lhzs/oMYu6 55en799v0m9v949/3L8+Sla23LzxleW4lzvx4w2qeRI1IMLYdWc1ptQhryiJCKDyAQO/8GV7 DZUwpI38sgO/eCBAEdBiXt1r3MNVS23idsltUSlC4qmeUIFATol4t6YPxnLIVR4ffgMrT2ab RlSWdJqarSuvpJNayrB/VBZWaAy78ubz/bdHbiypDz4rmpwkRRCrMYfvAWjqXlJXY8YpPBnA XyMc36koox/CWAcLOFxpRdRSyb7cJ4NF3K6RynxZef369w+r0eMcTmNtCQEs9Ab1rQy524FY VKsxiTgGlfVK3AwOHrqkH4pbxfOHY+pk7MtJYBa36hfcc8uT43ettxf2vEI0M8Mv3ZDIOe01 7AAHb9Fcpt9cx9tcp7n7LQpjleRje0c0XZw0N5IZrD2vSzNi82njJW+Lu7RVzM5myCXJuyCI YytmS2HG25Sq63e4pWTjdAnhuSGFqG7pmvaKSKOA2bIoqEJjloQb2adYxsQbN1ZE6hnHFw25 BdZu1rHv0eeYQuNT4ZellqbID6gBrbOBgna967kEoinOoywLLAiMO4jPfVRtw9iek3NyR6GO DT0NLWylDTmePqyMicKcq43jO+RIT7hsrg8ivmFcSOXeSpJ0rqspbNbtZj1mYKdhsiZJ7J4h lwS4MDmC+4rwFXOVFZ5TIsaCztq0T4jq9juPan7fq0yMgriQBrgrybGEzVC3I1EviyqmhQpd kEOZF2eMyUoJBQvVWOcZVfOu7VX1qYa6eD71NL5QnZMeRNeerKFO9kxLdq08XAFZ0fYp0TeG Qo8W+rMx/GVB2+ysX30uc/hxrQOfDkVzOFKTnKdbao6TushUveXa3LFP0T93R6kF1zU3BI4a fm9B4SVyrGnOdyGaOjJEoDQl1S0sFzi/XXNrsQwalmxLnKA9Zgd+zVl3IDAUshEBg8Uxmn9N l7aB/a0jkzxyN8bNy6FqRB+OSeuEew3p96Y/OSBcjCP5SjazDlMUhVsflRdjaVQN6HjrBXQ/ GXIb2YrWcPdQ3aq7o++QTmDiQ7tECRTFofvOS8y62MWYFkVnWdsSFXD3o7hDrU2j1rBvm0s6 NgZXloxVMswYrQEQaUHqheOooCMyL9wI7NJGUFo7cTuNH7d66wwouo/uNYXZiQ5jKte2TH6c 5g5Ec5tDDafIateh9KNivXdDGHhufOnOPV9ZxGBMnQdLuyuuNSPuy7Uee5OC8lTy20Wr6Mj+ d6WlLqlqmLj3G+qyXeCEvn/p6qM+/ICLg2hjgM+1WH3mcoUl17dj0t+h42WbmyR5snUCj95a iAt9GncGhsvFo4MY+nyq/A3N1M3Tm/j0Iw/Hw/UI+w/DWsBfaWJ0emgzcaRc4C5LzI73Jy+E 2ednArFVGEEYzATWjnC6SKqIKy9m4bT80N7orkaFEm6Z8P/XKNjPSxk7G08Hwr/ibXtVpjBE NsZeFrm0KzgnATntlvTAFuis7AajwapMCagSTpmDhHUDQQwg1GKYfUYjBUBae5R0attCR2FK T3idq0/+M+TSDCA0EfBKiUK0gIv66Dq3lPPyQrKDG9Kd5z37fP/t/gHVUIav9jgq2scTpVg5 NuW0hVNrvNNDInbjINLgVhimEG2g6QB83LJorsIAAvd7bMbfvCBURz+p3jWtbtpPbW1R71/2 A23Zz7Q8wM42VFgP+K5afXYAyK0Wn0AE0/n2fP9iqnpE14ukr+4y5f2FI2IvcEggtNT1BQst JwUKI+h4LAoCkS2Gj1QpxSRbQjT95cgCy20obA9zU9bFQqJPESMqprEAycDiFSd/Im0TKJPs UAq5NYa7eXv9FfEAYePOtJ6EYlVUhd2tSpJXEBSqkasElIZRr/WjZUkJNIZeIYy1dbIhy5rJ onaeKdywHCJLWA5BBNOSFn2eWMxEBZU49D6OyV4POW4hfY8M383fo5lQITxhpN93G+0tYQE5 uu9ovlCgd0N1qbr32oBfxcSCmpb7MmsriwuGoK6L5vLJ9em8SIvXH3V4MITMrlQdtZi6zhZi X9jwijLUDd/VJdzJTV6pSR3xASxpShEYk8Qs6aQlq5W6FD6UXPTf0U5FjE420xcAHulwdiMf dPxQ7ozWzhiTLG/pZ2beWeTF2x1lInY4w63e5LI55QJiWa7hRtYO7xXPjJquVSqsG4mi+0IL VW9QKA/EMrjXvNSk/nak0ceJh7xYXwT9bUhp/TGrV6lYlg5tc6e+adRnYN6oA5DH1lM1pl0W R374U4M2Q6ZBgK8SbzorDH0fGRzDi+I9Pn9tp9qq4W9bnhJY1PvsUKB2A2dyrXzM9jhYGkA2 oRAAFPAxH54sAcuoEiBNId/IMrY5nlpNKEN0QwaVQgzRktSCUknWU8Zsc+vD6PufOtk5SscI 1cVaZ1FllrBkyJcpbCacxNVdehxMCA9hxl8EvIx4mlEbRec0NlItcCn7khYHAc0YXxgJac0g eEluvW53hB6AuKDS5yCWPwtzm4K/X348f315+gl8LPaWheWj0sDjGuhTLkVC7SD1N3vyUOP1 a6t7hnZZsg02rg3xU/8OEUsbw0tb2hpqPgnLeCcvf719e/7x+ct3ZcjhFt63aWmMFIJBlrbU zrGJXP8i72EslXWkuHNbdgP9AfhnjKWyereZ3CyvvHQDP1AHgwFDnwBOvtH3Oo8CKl2WQKId uV4GZEvavYQhBzLbFUfVxtih/x35dIr7nqmfPfU7BPAybLax9t1DCeLa1gSG6hOGgG5Di0oB 0CfSWlFg4GqdJ5N5hRIuKKyJrCai6+Bu/uf7j6cvN39gWG0R4fVfX2CyX/65efryx9Mjmit8 EFS/AmuNoV9/Uac9wzPC3B55MZT7hnmWqyy0hlTkDcQVe88ZVZBZ+21Rd1Wuj2TLnqgsowXr fmG71cq6KTEAZr+Gsh6LTG+Sc7DG2BY/QZJ+BfkDaD7wPXQvrDzIvbOGSVRXpAgzWKGSxbpC xgTftk6m7Nn++MzPQdEFaZq1OeSvY2jaqWiGBQuQyFnO2FgIlyUdJKJe6Z/Bw2Tg5Fi/QYS3 gvPpHRJYbTRXTvtEd7Kt8WFQfyiXENd+DaXmxbuCX54xutY6cFgBXkxz2a4bzNux6xR9SEcl NZmZqLET5Et1ok3qBsOasqpEW/9bxgqRoyJRVXlJR75cScxgnStO7MGla3+hA/H9j7dv5q0x dtDxt4f/EKMBn+gGcXzJRDx52U6JWwfeoFFFU4zntmcGbozPG8akxojSs/0SrGvYT4/PGMQe Nhlr7fv/2NpBUVTTWrLcFVx7kvC0LEo6axKwJp8QQJDj1ZOJx2tWQneKmjBcoXDbkDRGuJ51 u7VVk4eVsRhGlA4PkUbgXgZlxgDOyhHxuLtf7r9+hbOctWYcAaxctBE2oYo6sVsUorZe5Oek 00dqF7lxPBkVzSk2rmo/OGVvsedj2FINv8VhYxyFLsXCMXR110xdq4Th4QMsL40Z4rvupEPv hkyWCRjwNMVBoMH4hSBzWOxLnn5+hYVtjvpqJaONOYfjurGPUpI3lIwkLQOHWhyeOTMCrjcn kzCW1tfHRUDVcJwCgy86ZlPD5AYOESZ0l78zUn35qVV93Dj33t8NI9PekFIsX6PsJcgo+jFp Pl3GkZL3GX7hMpSV1Pnbja9/LHsD04B9FoxBrJOuJi5qZ2g9nUKBb4NxqE8BA29dfaoF2Pxq 8d5na+WYpe7GWDj8TWy5ALLSnCxtbXJ+3dZKOsaT/iE8mH1d6iNeV5eyNXd8RzL3fOTzzPfM PdyiYXgla77Prvz3hW9x9i3ur//7LKSi+h7YX/UTgZbnCmFWXqTf1UqSD94m9pSGFox7Vril FaWff3Knhpf7/z7p/eEMGHrBUhqjhWDgqi8djH10YiuC5akR6Z/MRpHGpSzU1FpCS/Web0H4 rrU50iBOpohks0AFEVsRLo2IC2dDYNLfvUh1b0CdJMYg7yrlwUyGW7m/Dv0ORNJmAZptQzSw eJ7G2TgqDIVAMHJaKw2MlIkWyDQZYd3dGWMnw2NFeFUw1E5XCDyq6JDS3PyMxzH+Sb6mL3XD 0e7T3WKH/tXqYYTdiHYb00hk1+4DRovpF3MGue0Zx6bOoQ07Zxr7OTxTVF0ceZHZssp1Sm0y SyOqPzCOGzeglQwKDelRJlN4QWRrIFIfQ0wKuPccqjBIp/4mulKW3WXOlliV++S4Ly7VmHlb WQ83o/sxcHzfHKt+3G5k1o1v0dktUdu5PExkMviRRz3xy0SaslzD4J9joghYEgX7CDmshIy8 WlJnTk3c8l5ifl1yogSM2Rta/nk5ldrTBwKFcH8gHGEaHmiMUEot0cXTcjzuj/2RfIDVaKR5 XHB5tHE3FnhMwWvX8ZRrRUVRK1ilCO2Ft+T+Umh8S0C6lWbrkefRSjFGk+tQnzaqocJUhGtB hB79PYCKbDY4Ms3VARuyKPSIlm9jDG1BwF2HRuyS2g0O+k24xqjvqmKoMwLDXBAJ+Dh1RL/y IfQIagxwT31Gjp6HQ11TIyiMz5KcjJIpiMrgFhjllPheEKCdYEdVzGRrb2cJELoQBX4UWDRl Mw1IumQQt5lgXwVuLGdVkBCeM5CfvQfewRL/eaWwvdULAqZBIO20Z5JDeQhd9dZfhjStk4Li gCWCrpjMjyqDgFopqLWk1yRqHKgefMw21z8QVnHvemSAgzXoflPwqKs6gt10AdUuoOCOv36+ II3n0jYLCo13/RMYzeba3mcUITGgHEEewchrhU54rVpG4m6tpUMqQ6BMsSXnDNM3hD5llqtQ qGaMEiIgPpQh6OYO49G7PlF11vmORzHVC0XR7Dw3rTP9rl4Gug59cp3UEc2YSgRXZ7aOIqq1 iLhvq5rKNYIeTXTP4usNx2TDW/IgADhtkLmgCX4CoIHnbyz1BcAgX68SKAKzVm40QQwEIjYe uUSaMePCfDmMVkMkQZqNsO4pgVimiCKiZ4AAoY5Y1YjYOuRAMMXell6+Xa29z+hlzzUe7WZ7 w2F0if4BmObWAJFdmwvj/XW5l+vCjXxyyIs6czfOtXEECs91iHUDiPDsOQSPgJECNlFNf4TA XV2onCj16ZME7vAgxGD3Rtoro5o6DInxAAbF9eI8prnlwXVc8rIBFIj01w7bBIYkprimskk8 Z0vDJ+JiHrOIXIfjoc6C6yzqWHfAlr9Pcm3OgWBDTSzC6bWJITyy7ohcw9WmgS6Mw+vc0ml0 Pff6VXEaY8+/thfOsR/FWjR2CbV1rzGBjMKzF742dIyAWHMcjgdBNvaVpeoqigMyd7dKE8oB LCVU6EWHnQ1TkChFxW0zp1iWN9o52XRpq5hx67iyTMZOdDl+jQDod/gMlvPdzjBM5Yluc5ex L9XX5ZlCmFpe9i3G7y86dLuiXhUo+l1S9jw3/Xs1YwRm7hVJKxuJIkLjwFOjk4HT51JGVwj8 8mlUT5EAg4ywf95paP0SW03vdxw2vDS7RiUY2Y/FZaGsU+rJXBj8MQS9gfIRzsZ22Ol2NAoB Vd7fOETFbOHO3eLh4Cx5xNB65Iviu7CqmgkD3XntDynmzR1KnjGFO0G8vT4/fL8Znl+eH95e b9L7h/98fblXM5FBOUoNm9WJUR2LePLw9uXm+9enh+c/nx9uQIhO1vdCLCTpArEKFsgWE55K dVF4RZG8IIaWkuIZnhu5quZCMmKPwbazujEqnvH0OzcnQdXab7Jp459/vz6g0YM9IfMuN6Kv MxiwQ6R6FpGo2pQVRDPMU3RDXV1m/F2aFF1ZoWT04sjRVirDoBns5VBlst83IuBDg60j3/uM nLk4qjBhpEQCVa9d1lP2MDARQFnFilUITY1mx7pgbIPGPQiJIq6FKUE0cJg+BoHS8ukpNIcS 5EyX9ZekAc730iVDmVni34xsNLqKutWrLhPWExJAsYFYjxXsgDpS7L08q1slhjEi9IdyhHEP bIcCBvqoMXDoWPKE71iEC3cTRNQbgUBHEfBSamPUg8gCjzf08AmCeOtcaQyf5Yy20FWbAsZG +2MI3Lyt9lms10v1xUhpyRElvUTNi312tU3UIIkL3HLsiMd/YgMbT+oMOA6TevRxqProwmC6 LQQD3sbymzMDNcEYuhpwKDKiR0O5icKJQtSBGmtgAVqjhCHB7V0Ma8zT65JjCyTpFDhm/s4k 9V0Btq6pAeQFigdjOO39BmEjJtDx/QBu8CFL9FNzMUJR2sD3wpiSydgimU1UVt6kG0LXsbwK 8ic3lzrpOSrS1oL5RrdAPTcioTEBVexbFqhi3iJBPRqqXgcCA4eRHAt+dns318+MSY65ag0H CAwyen2iz5XrRb5BI09T7Qf6/litfzS4aS3EwLV1HWtGaew2XUynTKA5VOc6cB1PbxGh5Grg SHH4aUXiDfl2L5C+fpwIAwbiJkZM4Fy9Nlkf6KhlfbFH7pvk2+siB3EdjTO45evKa315eny+ v3l4+0bEI+OlsqRmOW2XwgqWR/+5jCcbAboZouWaQrF+E6PpEwxRKND27ue9rZE+s1cOP0S+ EqLmU5kX7UUJIsZBp02lJntm0CQ/mbYtGg2PB1mXDcbiBbHMkiCbEyOzPtwWVUGHlOBEGIu4 1zqYHncXJafgAs2Bp5bTua6IU2pCPe1oWOF1UbdyrrkVgy3gqJZEK97lVDMJ0laQ6pqn9g1+ aL1CiJKHYBxx5BZDfIkM/e94foh++E1KP4g4ke6GT44yLcKKGPeCIW30mXEXAkjz3JNRecEi dVBqHYY9iZRDcpk19gslO/cY6l5iX3vgn6fgkCtLFKBlbYtZ2ANXXhxJ6RPLjcUlK3utNtP7 fMURLoIlWmPkfWIJWYlqjrEvkvoT6fNYYqTfBvMrET0p923fVce99gEqyRHOIht2HKFoSZ0A MPZzUi1lgLnZbdnrRw3bsdpBys/Q+68sCQzhxsC3cV3cmVmwlbIf7l/vX97+uhlP5mHM6yhP 48k8lhB6SSoy1644lNK5qAL+1PaJfoZwIOY7dGjMp94X+Wq0bnB0evxk7cZctWupuqormWcw UL2tYHIaQhjewezUoZjKI/ot13S8bIWqxfRUegv1pJ+bIDlWbTiZnRnPYazD8tF3Ga9ine8P n//549vzozrt2mdkk0vxvDPS82PZOU/czTyGgarvWUoEMfnyOuNj40MQxlYZVR2g0gr2EGwy SiSXyPhRT1XAExBfTp3vBJSLokQKYoZ+j1yGJIlcf2MBW3o+Y3syaaxCYt6fHBVu1Ml9fP7r +cf9C04nmpCLwMfShYJXUXKKgNO8yOfLCpa7KRG3AzW0SJAecyoj4Yp6p1xJl4KGrxfsUEOq fkHqZd5lVxVT1na6rpHCX+GnkBxO/bGlH7fYjV7DwFDKK1ZWTevDQRaFSNKgk7lFnmHsx165 glnjedqX+V6DDnUJnyWzVJtqcQYyQ0CLRZ3s4AbOysxcoaeFB6f00G0mkGuNK0x2BV1r3WBY j9qD/+be0Awq0DFbaoKI67v5WfX0eFPX2YcBWPjZ/VN9S6qHCyIxFteVOuZMkzf/WtJP/iLv HWUaMR9kPlKLcz0QN7LgJY7nE8UxyiuS3OCb0AK+nE7q1r9/fXh+ebn/9s/qaPzj71f4/7+h j6/f3/CPZ+/h3zd/fnt7/fH0+vj9F13cGo4pC1ANy34AuSAb9baR12GyI3/B+/vx+e3m8enh 7ZE18/Xb28PTd2yJ+Rj+H2NPttw2ruyvqM7DrZm6NRWR2h/yAJKQBItbCFKS88LySZyM6yR2 ynbOnfn72w1wwdJ05sUudTcWNhpAA+jl+8Nf1tLT8SFhOzi1euzhGAF45aruGh565JksF5YP Tcd7uVqki5C5cDi6WtYZI3Sxc6HnMtzIrBzeKatEDt/ofgyMxVo7lynS88Pn+6dJ4qjeBl5r AFx5QwzAtQc8yXlg2qob0uArAxrsCeG5vC7CcG73F8fqzhpK4jM3wcarTW3kS6e2+8c36vD7 D6daqNrrvwYPmkt89/3++a6TYz9+mi5TnDfrzdCb/be7lz/dgP26iw/fQVL/e49vcDP0t/dq akpMJbwIPDnSCHXLOs6Ad7rWT09QLYg/Ph6RtaKwbFbhcXBAzh5ePt1/w2e6JwwBcf/tx/0z XTRbhZvd8GlST+fZzxdYu6C1l6dP7SfNIT31+881ED3riPf2cckW2XVOpxMfabJ6l83t218H G0yZU1hk9aSltk0WBBPmJRbZeU56DhhExTlcL+cT3S7Oq/XylxV0Voh0BZtNOBElzKTarWnb c4tmM9nP6ma1zH/Jtvqy29E3iWqVd650DCCGYCitC1IDBwv3NrRun12kdWFtIwPABpPY3da0 OzSRWR3aT5cOzgx84uCsvKQm7hqH83A7hVtZHmc2bjmJy+LlUm7nU73Zbiu5hsLe5WHP9jBQ Xj/j3ejLKyzLd8+fZ7+93L3CIvHwev/7uHPb+ryso/l2Z2wtHXBtWeZr4Hm+m//lAdewhThQ 6HMiF9oWj+rWJxVS4H9noCLBqveKsQAnO5hU15Ndey8ScZgkTm+AF+th4QfIH/Kf8AD2omVg +jmqb4Djb2iDPqbAlMWaAroMXB0DS/PoGRiax9Oe1XOK1aE/KIrV1KDMPQZt59uFz7X5fOv0 /sxlcN25pEqwRJ0EXs80SjEs8BvYhub70MDaYE0BNwTQZVktw7kLA8nyu6U+bhOYQ1+DDvsP 5EuWsIDMvb6Em7kz+ul6aTmhju0ur57orAjRWawcjiUiQh/VkqzTk5MziN6GkHfrBVudumUw h4OBf2eHXIm72TfJD5SIrTcOqk/uFNFiOqw9rJZQew7Hoj9nDBSHh093j+9OT8/3d4+zehyJ d7Ga/XAMmuxDfoXlee5wtahWIHMOX6M4W6zcSZEeknqxcMt30JXzDThT59T0DQZpEjL5x+KU Rds1C+fSKmuvQv/z6wr1cHX3MQYVaGzf/p7po9m7Mk3ttksz7/04W0HM5vNRuZU87qPo9Cqu Snqllku7wjSPytAReSFhIrhcVECXErf8YQeon56+vWCEGGjy/tvTj9nj/f9Zn2xfjzRZdkuJ 8OH57sefaK1GXDiyA3U/fz4wDCZnaOMaoB5cDmUj3wdGzGJEyouoY8xX7bv4J3DQ//Q6q+4x rMLD49dZdvd491UpzX3vzfhV8KM9ZbKLLOfD9xGJSguWtLDFJ3hfkF0sE0vE13X23ghh0p2a ZjCG9DkAy6gobXAwWpmmZD0iPsI6tPbhUqT6ltCB59dSqV47O4wMoss6XyzXtI2VwsvtesJ9 SX1aQubDQFQVmIqXgrDECdQ4QpXZaFnTvhkmWUY9dyEBy5KDmbl+hLWxOJHwrk0blxfNmTOj og7QGRCuSHBvmPt+Yfe6J8Jnn+m4Y2qcdgF5vwio7MBcpjlx7CycZGdGhl9UBQ/cEfhzdjns PbnQUJD4mHwwRpJDxiwnvw62tjOrdtDFej4tZE1C52RWQyXJS2XNlkPoNxaLqmpk+4FnlIUX Uny4pnavoyI+Sp/FKi4wyIm3rOyf4aA9+/fPL19g8ibuDcXeWLz6BUEtDwYYdJYssfP37fGi N7Z+R0WB6UklYRWBNezxgjJNK+vyrkPERXkL7TIPITBzT5TawS47XIV51MSVp+g/0ka35CMx 0MlbSbeMCLJlRJgtj5h9UXFxyFuewxkpdzoVFfWxw9A9icSBLgnN1Cl/s6z6Csv0AIeA73lV 8aQ1rTKRGHYaHcTMbCVjaMBJRknEzvWT3qoJC3TbiN10LVLFnlqHjPYlbTrVIY6fEnunf2VG XXQg9W3Eq9DSy02oJ4mscn7DVgOMtb9MZLJ2xQrYFlBRSAHVoGRbFXQAs3y+JMMe4U58sAub WdXMGmSQKDNhuhadwdyqSINcw6kRMRV0ZqQwB96soBJnetlG5m3I2yIUZb6dr0x/UBwpVsH8 w4wbufkwpkQSQygRoDbDaE25aDJPiDUaU0x9aCamfEd0oCr2OdVXyc5kpilkRa8LuCDbhG4E T/JUo98YFFbfalXELKaBv9iXNd3E6rFw5WyBs2aCWG3JbgEFnDTDGylYHJNh1JFC2GsI/G4X 9p7YQ0n1AiedcOfcWZnT4eKO0ebjPf1u1xFeuyjTIoIVYYpZOS9g8Rf2wJ5uK3uNXST7qwfQ X++DXTE5F0VSFIENq0F5XViguhKJjtZvjXJFZ39SSyjllKenYOZu4B0M9AeWtfxsey9ZyLiR dUFFVoBaVOx7q14FadMrATzQQJsRnhG3GryqbtiEXGUcM4sVmd0NPCxbXqUjTD2xHxJvIeiw jpAbeyTm+ZZHzu2thDVFewp28ysJdeW7h0/tFCpBkDcn8Pp7YlZJ2DLmxuXNsEy0aZz4yhgC 45RJ2Rnd2Rg/TvJYnVNqdGoaKLown5RX09ip3gaaKG/tFKSQj7TlhZLIET94ARFl/QBhHonn 6zGiVNAZumLJjoy0SRhJXPNno96k3G7tAGwWakOiqGBkRkHtl/WrEVkv5oyUIETt6KrTcrta UZqK0TdMZWGnljN41bldvFmD4UVAfZ1yX3uzAjsul9H78yqcb9KSwkXJOjBnFOiFsma1MVWO iRldOi0Ohf0Lw7hg2nlYlkiE0jTNbzJwcdrUYUi/dja5cTBTP9tCSjdVkQVvMWdUyoQZzceq JU/cjBoIKmO7QHu8JLy0QRW7ZKBD2sAbJ1YkwiQHXS2PaY9p3Vd0k7UryuBwVyHK69gkEC2j DsJOI6n6Xk0Hykb8tA20/Rl6LW2LNGkZHXUc+wJqSLt3OnjmVVRI3ukoUzhMG+T2fUpZVCV1 yFC7Om1QHjV7t6ZuuHA0Jj+xKNMFJsz7FdHyl0QyYhf+JkWXqM6lMUWgbJbzQKWIsr+x76bD yKsPY/Fu06Lpeewx1jfhsrrfRdawq5NRsG4TWbriJ9zaWRJstxNh4RCd4kvTRNuA7F50nTJi tVyR8R4QK8WxdOYiaLriWlIwdbJ3ZjhrtlsrjFwHCwnYwoVdQq+7H+vFgg4UAtio3prP8gOo LWBQ+iDxVn0xmwfz9SRHY2ViOLXAXG9BN/GlQ8O9luQy3E5YM2j0mjyia+Rq5TJHu2D3TmUm or7unSFLWJUyl+MHFTnFhqXs1ifUpZdE6SVV2gFmlquYXoMdAI+PxeLgMkzkiThQbmkj0v10 DU1uKKgornQLyc2EKcu4mvwKPzVuPJfBYuPNOQ1+o1YZ7BbbN9F0YDJA9lk47a0KFpcJekRl HmNiHmwC0kSox7rDrBy9t9c5DfVaOBXVIQgnm0iL1JGR9Lperpfc24UzxjEHNBk3Ru/33jqf Z+Fq7dZTxtfj9F5eibIWZDo2hc24+czbgXZrArTyVjQp5GYeTC/qsshFfBbRhHeb0rT0kX4S fxZsG06ldRzxevme0grwsFxIZ8Kdr2HofPltttc7l051kvyhzAYtGzwldmwyOV6PBx1TObgB iz7y9+ulJeai4hdhKagGtHUuqtUqJiYiy+gle3+Zknbp3rmpUYnl5KxXvSiqk6ORRTwqvF45 oUAMA7dGaX2gYRKtKP3DyOx1FInvx3Q031vgxxglu654fqitEPiAB02OaKrxqhnzhOjXeQya cvdN9cG7lkd6tqy5eUWrYHHVXJ32NbClkzAiurSs9RSoQRFx64l4ehK0dx6i8aW8un0DLeAX dY2HWFC1E4GJ4d1G41sQV0nGPhaoFrJDkVdOcKEROv3VHF/d9/Zno7W6lY8SYR+t1OMIAkBd NC7rT7fc7fuFpXVBO1mqAb+tvFhDFoGIWULPLcTWF5Ef2XTpE2yHAuSRfGZFgjR2AvUqIM+L c+HAioPwZa2H4o/SinA/YEjuI7ZqsijlJUtCaxAQddgt560dARvBlyPH18PJ8VS3wFnRSEeU 4aRYwfK6r93BAf0JZi2fFliVDVsN9ESTcLrkJ7u1kuUYsyktKisUmwGe/oKS1wzz37gdLTHJ bUxnY1b4lKF/eO5kkbdpYMFj1LqKSMmE/hCriGSZbMiYXApbco7PzM73wwEXRgmWMTMBk0I0 ORz3HWCVCbfVQ8V5Dqcj6loO8V1K9n6g7R5noJLcFLfY0ETxWpwLtxhMUck55ZimsEeYQ86a UB+rRtbucd6EekvLhcV2wjUFFML1l7bwV5FnlKKOuI+8KjqODmV6mCNjVp0fbxPYDybXBB0S rz02kTN+Gq4fF7pf7w3TI3KnVLk0zW2ugYN6cYyF/Yhu4707cASqbGBHJttjbE0sx51adQdh Kp/4uGsO8PLPv18ePsGumt79fU86MmBr5ZFeFfKiVPhrzAWd8hmxOufUVAI8RcFcj8YRfaEc 3DMnzlAWv+F0iNg4PR1YTThrKz837eoWowV24kUmg9JRd6J3Qd2V2/utj4lAr7IfGpTHnJvL 2yiHnnm9BJndOmIS03hMYpr4Y4TFZXIkLxAQd4lkYne/FnuQWgcYRxsrXk2mcnUCGcHuBtoT 66pIJ4KGAQmqTLCOts7FhkVTF/IoIvYmTUZmI89AYamFNSwdxIk/pxLJydeHT/+hxHso1OQS PTZBt2pIVTiToJINkjCWlxrmS5bR7j8Zwr4famRI07uB5Ebt4Xm7sI0MB3y1IiPzjvhxYEbu 5fwCuk5i7Ej4Sz+bWbrHAG338PfofTgQ+Pq5KhXF2XphmiqO0NXWa0M9tVGXjCN24VSFDz5m rHMFzHm91Em77PovFRm1QuF0erjQK9PBp7MfKqqJaF26ixgBa+n2u1ythmDIBM60Hx6B3tcD cO1+Pb5zzf3i9lNdN6b8jBn1ROog1EevrgR0vXChXSgkfHBqXFHy3zQHMPmOppu5ZK68JOF2 7g9NFwBQLkPyZlp/d71Y7Vy2qWwYICRRUZzcLtcxw5BhLjSNV7vg6n67F0tvENTVXw6wqB1z Sl1BH0PvjTmlDNL//e3h8T+/Bb+rLbw6RAoPZX6i8TV1UJ79Nqpuv7uzErVWl8lDaDdH/rPt bhm0l9RWD4c+1s8PX7/6E7+uxOGgjfDs+jpEO/3AZZEVOZfHgtpALbIjh1024qx2x63DE9aC Fj42jZstTPceS/eujxhs65KKNw8/XtG142X2qhk0DlZ+//rl4RsmWP709Pjl4evsN+Tj693z 1/tXd6QGblUMTrKObY39BVPRBdDEBwPJKgsis7iAvznsxDml93NQkVsGiq7AqJuVqQsrlKei ItShSfmBxbc6M6yD6vdrG4bPXhjiyOylQgEMunsz1c8so5o/HLnbLMuS9dKrXUFbXlWg3UMr PJ6IftwTb9ZXrw6+uU7cgnboVUidPRVSbMPtZlU6fQXobrPyWxLo8TVZ1cJZZTSULwJ6jVTo 62Lrtr1aUtVAPye8GRS+2oZThuhdrW/1fBVQTW7oV8eqjt2LWAQpJYXsQJKxLmYXNUWaayJk mTLjlgujBJghP/XvVgn9/K/FZusgYE+B4uHYYrxnhwAYtqROM429qDQqTBV1K4KYEmNJHHhu Za5FRILhPygEs1+PESR5FReSestQTaCB2XD5ahWEfZIWbFUOzvsURxGX7dehNdnwnv+NV2zt E/B+CILw/IqRFFy1svMcKN2ASD20W3XIHndUEV79T4TqUwQiLxsrZIeCuhmnDXDvcNASMtZF KPj0/PTy9OV1dvz7x/3zH+fZ15/3cELwb9Y9c7ruuqepRTpxuaUJiK8aD6I1OwjyIuu6XRtx bYaodsPeATvLxb6iQtgxoWSVYf515ZBxMa2NmGxAJ2JlXThJxUEJ02B6xiIeKiIa6lEts0ek y3JWbLfkoqHQVVTb7gzNjahlQ/TEIVCZDAypYJlAy7/9SZiehnUcYIBdiwHH0rWzPWI2gIqn 3LQLQqBZLJNiZFsHK1nO1KsdwVBlKkyxtBeCIr/1KkRgKToz4xEsEs5KlnjkqE+eENHljh8a txAqTBcVCnSCXGkDexajiiLIFZqgn+hUf6rvDrYTLapoIP+gZ6B6nvgtrPop+ZrYJ8lKmJ3e ossPzfO0uND7Iedl/Jb0q0lDS7/qmCcpFgDvc2tWecOnMyroCxiLOd2dTFR3Ak0NQUdzdL5V 1RlnJWVFq/ng5P4QUQabNclPfd/udTu7Zvb36XoLdgK9WNhpWboqPgS0IqJe+tpD1tB7mq64 It3iuuMm3rADJLfcs8ozzEzTBF8TlxmoMKUBjo9VkfFhxZUuppDexw+IEtNrGU87fUIBzBRr Bb/tEanVcgcsq6IeNtlj7/Qkfzw8fnuy7sv0VZUCyqefz1QKhzg9yUrphaY3P0D5uSagUZoM 0HFAVLqFUkyYGBz1QREE7BcEWd1MxLfpKWrbZ3Gci1lHIOuJG0mQsYjMnC6KLGvcSKKH+0f0 958p5Ky8g2OdcvKXw16vw2Hdf396vcdQX0S0WhVEFm0vjZW65tqKoq06hK7mx/eXr+6w4dP/ b/Lvl9f777PicRb/+fDj9zEFCXEXCXPmKlpZMdJGo8DbY0PYlaawr/iHvhPdz9nhCSp+fLLi JGqUToOj3ALgtAxfwUybXpMIlBmcGsy5S7dI8M1WsjPph2vQoQtynyzH6ifBgfGjWn6esnjh V5z6tJDAkE08/YuJm8O8po4GZ1gfDPsL+DmLnh8+f733HyqQNGa7IL6aV6AIraUIllurjify reOcCaTf6FQXA7X2u/XJrbs5TJHnHO5V1jyZtvvaoRvSAFgwKX2IfUc9QokoiIhUl5JbOk8o 4usL7f7c4dqUfPaEExXmiba2LRCkUzv1pqVTWMOP6TDle/tJBX62e3biIHVkjYiv4bAkGP0B iMcEW7yLoE23aOwOanDxXU/+/PeLWhvGce3OfvjsZ/D+CJrPlbXhNs/aozS3NwvVyMgQvyjO 2hOG60ewUyHO25gZm1u337LSUI6z2DrXw0/3rajnuZMk4tjAwlJFRWpNXh2O5fHz89PDZytC Rp5UhaBtClIR5edEZJlX0f7h+bvaMb2pwc0ATPCjLcwH8MFXHdaJzORAdygxYyvEScSMiZFk ws5mDgA976jlD3Exy9F7+ogn0rzIW74XIGpp6sTHljHojSLa1xgkPKEQZquHojjA4t1/CHXo x3ZiHcGjYxZse1rUzB0hhq7BGREtQfTlpMG3ax1avggdoL2y2owl0YPLQgr0Ykx9lORxU+kr zxGzcCtf9He4EhTcFrrEK554RYjmF27z5iaxMDtA3Xhd66Xbk+X09yyd7zGbWrY8j6vbctKK StFMOWXcRJZkwc+3SI1Zjr/ccxh0MovU4I6wigvYhPdSf62xXHZgII5p99CBRPmniHxPPbAZ 1Q9j5NdgMvYXlfhSc+N1/uYX9d1MjBbCJ7mLZWpWC3yvtVpD/xsUaJJJUa37TesXIn2j6D70 So7jmLCrNa6kXKLSawrxXsD6gC/jIrekIi9qsTc4mrgAoQFKXzMKsoFu6PSHpqhpL3+Ficlj JYbh3Ut7wu0btIw0z1+W2Rw6daTsVlN0kVM//WkFIpG9pI8c1SA1jhM87yiOmCr54GjbHtW0 fUtPUUT4WgHbFXlgVTQ4KJY8jdA3GjCIyL5qliR/gN7xLjknaqX3Fnohi916PbfYfFOkglv7 ykcgI8WwSfZWUfydp8OAJIV8t2f1O1DVydYBZxXPJJSwIGeXBH/3T3r4FlViXIHlYkPhRYGa FSh97//18PK03a52fwT/MnV7b3Zp/evl/ufnp9kXqsejI96opSLoNBHRXCHx2bY2pqUCYsfR ulPUReWgQCtIk8pMOnPiVW65+Nkq/bE58DqNCJBqxphB6t/e5nEGyoRaGKDWmpsXHixxSDtA W12s+4H99ALH1cZHL2L/39ixLMeN437FNac97KbcbSdjH3KgXi2l9Qolddu+qBynK3FlYqf8 qE3+fgGSkggSbG/VTDkNQHyAJAiCAJg7pcNv7RdI3atn6FGJHqXeJqBAIWkeOZX7n3/KfNE8 zfOocD6fIJi0DM/FibLXSoagvGkY6I1zVVY2mwBHY1jnbKO6z4PocjJNDESLfU8YUrTOeMHb ZyZCvP+t2hEdttncAS6hck5mq7QJ0J4Qt7zlZ/5AqQ7HSZCHxynKGzYGekE3DPOubhjgOTq0 7aJyq8NTfIK0iuCEYSuqC7ul2FRp3Y9mL8ICzmaJd+UtzxomPZ2aTRVecXkbUho+11fn3iwH 4IdwYZKpaRJVjq1T/0YR0zWlD28r+0UqA8x6KWKfFmY4kXU7utTcpadXkDpo2z0bjqz+Ou0x RocXe7VTAf7erZ3fxEKqIQHJpJDnLnm3DzxspclHPj5QYka0OqRMqnarSRXEo05lnD6SmhvW iQi3HDj3JzTyHbCcLWaDw4jLuGisCY96pvtTc8Kqy4uIHmppG8X173FD/R0NNDS8cdrmzjw3 oDB3DMHRTSYuiD5amBMBC1s7wH0qtmO7R//w3EENbSxKmiun4ESejXQOdgvMrTexKyCtrCKX FkBnq5XXEIZt0wjGLV0qMUofNMOlPQi2TU3OGRoLallfWoeQZXIpNMZz1rzKqwlw1vBTV6Eb 2LSdSavLxffyQL8MfqgVV+crOJpLEdiIm0TwolF4UlYckUVi4bDFqrIjP+YEm7wqW3azNjyC Nsxzzyb6+4x7M5iS2K+IEMzF+9MgZh3EkIeaHdybjSGesQ5mFcQEG2Pn0ncw50FMkB32AyYO 5jLY6cszLi8gJQny+fIs1LXL88tQY/52uganOpxJ40Xgg9WavgHhIrm0EUgjurgo+KpWPHjN g8/c2icE/zKrTcHfNtgUfNoHmyI0KSe8N7ZzLzkfLkIQGImVM8W2TXExSgY2UFiFrn1NZQcp TeA4BQ075uB1nw6ycfugcLIRPZ83dCa5xrRa1BVtwm1ECpgjH2P43NZvUgFtJXeOM6IeaL5W 0ufjDe0HuS3sHRcRQ5/ZuZnLivygoSrbw9PD4Z+T77d3P+4fvi2mAKW64i1UVopN594w/3q6 f3j5od4b+vrz8Pzt5PHXy/3jAzElYGoeda9tKftp1+HqKtGQv0P9y4j9c+tYizqg+Vq5NPK+ WSb/kLfraLvQ489f9/8c/oMPE5/cfT/c/dDvWN1p+JPVXOt6FxM9B6y85k3BvZCYixLzQ4me WOk1vhq6XhuULZMOqPv6y4+r07XVUdAEihakCV5hsrE3MhWJKhZoiOZfgwaLL6FXURPwyFMy rNnX7DWg7ikxTUBNqezmpjtM6bRDMppSKnyqj9vlMTZwL+DUp/vbNnixRlLg2nC/jqyRMN+0 Fqnd4ZlaVHwxHplsd1MLONvG9Hh8PP29op3Wav9HEqZ1khy+vH77Rma/4h8oRxi97eQ0V+Ug XqVvCLJXG0btSzQbDCwtMxN8x+IzkCF+tRNWeYuwl2+EDM+A4UJkPKiBD/g+2qTaggG744CD 92a9ZjVMi9sZg64UETPHAApHN8GF3eVil04DWKUVUvkFTJhg6+DYgiF3nZOqVSN3vCHcIIO5 NDVee16A7KBi3EwVPZvxpeeAY7giy4tNXrEJSqzeqy7gzUBWNnt36gSQ6nO1PJFDoRWeg6T3 xKhaGCfl492P119agOa3D9/sQBs45QwtlNHDuNuGXrzyDyJRwrcC06RaZI73Wphm3IlySGFS kR1D02KKAZuWM4wGiU3BpzZvsOljju58vej4W0L9LUjHpmlZQ5KNn+sgSFzOzdAv4A6GKXHP wBqIGxQxFSDUu+8hn+iJn9aJuzXpscfat2naOsfVySPNKVmHXaFP3iw2T/71bJz3nv998vP1 5fD7AP84vNy9e/fOCifStckedsk+vaJXQmYWQhvcuFa60EJf7vcaB2Kk2bei51OhaloVKu0J b/vCYzdfIvK+GVgAMibYzilsqUzT1m+sKRsTIs77AC8aVE2wdkDLS1WsNjfGOLqTodGViVoi B9sJ/5tUikwrnSs9V6wVb1F0nDVAo9S1akHUA42IZYrJngqx3LLBNkV2aGegEM0axVu8G1Ob nNE5WLIQcxeTJBTwxgggCUp4GImynBfzesXjzQK2i3cHD4Hp52O3o2b41PwANQWN9VzLJj67 oWXEBAYtY+n41VG9TTwpfPqW0qpzRhSlUQIsiNa51Lp0EJXYYoz850HrS8sdNCKLZuI4f0+t ClCJAdT3ASLS0llB5tckaP51fM1HOMwpMqYtWRawgaBXgXo4Qwtg27jfaRlrVrAf1IjZLhRK Ojt6NtS6scexGyna/P+iydqRKqRa7zDnLPcqg0GO+6LPgc+bzq1IoyulPgJBrBPz2CR4h6wW D1Kq9eoWEpsPdSkLUndNPR/lNFHXGtM0GhIFbzRkmc0O5W6r6Ik9F/70uLj0C1QeEz36yYUx QMi88uK02B/TedaBegb6SmYwwa3e/9Aw3zCYjWzRHOxqUFDzhqwwBzXrsu7tDuF4pHKRo3jO itJRKghOuQYG3AoUWtQga/Cgbb6jO/9MBfNmwvMuSrpSn3XWURw1pCMEeBMKMlZJG6TiLs2h PVGq59IypBbQ3uwCq+rtBTVPEdN76c4mb5l5M6EXsJu14R0PwwlDnVzW5xiBFMwrIfnFRdDL xmYRvNkO3dy0Hio8O6m7TE8Rla8PysbTH55fyAG+3CY9MZqoN+hRYwG9PxASFi1iGLSyIypB 1MPpPIzX2t+H81m547uHDcrTq2So2LWEaNw/6o3/nJBCbgHb07yvCi7xCk7FCvJLCyPPVAKo 1dnlucp9bQ6uExuGooTDRxN3ktg/kVJMsW+hFvtP5CnwoIOTaeKYIGs6gVEarE/NcpjdJMSK gL8Da1vtwbB6+eM1xp9O+cTxcDjYYfBCltdLlnEGOibRxvpABbP2OKSuZiubRPSCh04b78Lq ZoDhU2rJEfUPfaLKoePPOiYwqA/lbURGzivd35owthuHbOyv23Q8vbo4XU6nLi5NFhMPxQ1T TDqLRelvv6g3Y7G6QKdmipS3W80Ug2c7dilU9dZ4TF51VhMXvxWjcCvbNFoP6OV7G342qmlB PS1uMHsEbIbOdqhLhb0hELdjTktVcVyU4KybbUA97B+4R+eCG/eFNLMTjrQDiAAluOjtQHe4 e326f/nj2/fdNKEooEC6oiIFKBRbvK4xdLifu18bD3KD4dex8WfGnAOdCndRC/soLacnGVTW +WO/VGGn8nCxH//6a9YQsdFzLGP89OfXy+PJ3ePTYXn904pVVMSgrmyEnXWegNc+PBUJC/RJ QUmJiza3dQIX43/k+GssQJ9UEuV4hrGEs/HXxbXoGMdDmc4Hmy1CXZX2o3MGVokazpY+rYH7 pVM3cEo9JkWnzNvKbONRbbLV+oK8zGEQ9eD4wEw9x7+cG4zGow0fTq5D6hWo/vhzowrAxdDn sMx8OOq287u3Olbp9eX7ARSru9uXw9eT9OEOJzYs/5P/3uNj0s/Pj3f3CpXcvtx6Ezy230GZ uMLA4lzAf+vTtimvV+QlaEPQpZ+LHcOyFD4DUbrztMFIxQr/fPxqu8lPtUV+12MarTFDOck1 1x15xZTUX3ge2IizPxvsVb/kt759/h5qdCX8Vucc8Er3z23EDmh9s/79N1CX/cpkfLZmmKTA Ok6OR/JQYEDJrQNA9qvTpMj8ScLKouD0qJJzBvae4QJo47nAdAgFb/KdREeVrNjXNyy87aez gHXKfQ98tvapu1ysOCBXBIDfr3z29hu5uvTB+1YT673o/td3Gik/7Ry+yALY+P7Crx7hdTGP vMsuUQ9RcWSpgJruD1BUNvusYIZ5Qiwek966FFValmxS4pkCr98dj0sL588hhPodTxgmZeqv B97m4obZoDvMP8KNvoaz7J7kIdN1NzWyj5dtKGKckoxdl66x+jAX+9TfQft9w46agYeYPqF1 d2fXjKfD8zNsJ97kBJ2hJI+GGfgNeYVmkrq2N7uBXZyvGe45bvEMOveFpLx9+Pr486R+/fnl 8KQzKty+6Eb7C6HDqFPJpjeauiYjPPPWgz/ZEGNkuluyxjkJTxmSuPfVFUR4wE8FvpKAB46m vfawyhrNKacTYtIW3XbO+M6oZcf4PRMfZdhMxSrA2A7vKnTCcS89iO66wlcv4XCE6XTU4e4P g2zh4G1ouiGiZBYOtHVH1bx6f3o5xqnEuxF0DhrV/ZMd+7SNu79nDygeq+069lMH6GScYlp6 HcWyS6Uun1yoqMP8dlf5ECuNAIPJXDO8gY+yGXpi2p6xypJpf4dAGKZYWWXwwQG8KaNok7bM /qC7roHXGVNB1RUMFA+0Eo7lV2o3knFqi2Ik2GVuHZM1Pilkf1022p1KJZ8heXOMb0dx4/BU s3MxL2GrK14I6z4OIz5XxcvgcuPePRlEVNRCGltSNonI8v7L0+3Tn5Onx9eX+wdbLYyKXqaY vI6m3Z+NYgueu6ZUPRSWRjaxCE7Sddxej5lsKufsY5OUaR3A1mmv08P5KAzsR6sgTOzItjLO +R7iAm1VdkKCCRUEW8tGOybJfWc/zTbfwmWoEKggrLYs6JEuhnNK0ZMNPV59oBS+ngq198NI v6IKMGq+vnOXgYP4SKNrknaaYEL7lCIRci8C7xRoiqjgz5GxnR64iHw9PyYtUtNY81AnZTvy SK3E50ortsuwF+sgQZJeAaE6OI7CcYtHgU73fwX1tALY+ZmSEcqVDNs7C7+6GfUTh+Q3Gshs ZhioyhvS8qcHQ1KID1z0ncEK+4HgBdbnQxV5CPRd8FsWxZ+YlgV8EpYej5ubglijZ0QEiDWL KW8qwSLsYEFC3wTg1glgWr/qil8QjzCZoptSUzZEibShaCG8CKCgQgsV2U/kRGoS151ltTUY vNntUpzlHGzc2kYqCx5VLDjrLLjaonYCb7NTomV0TVyAEFbSWtqpXlFWgbRLKxekHk8lUlA5 F9ijo1wKlJ4g6NarBCPN9PLZFv5lE9FfzCKuS5p2ZJas8x2XmvqZCivDnlmksA/R6OzyBlNY WoBGJtTFPkm4q+2qLcgBoMFXa9JNAXuSxcOswdONd8WO0IvftmRXIMzI0OFTUz3TuQ65Koqa QbWY8FaryP8DC3plc+q4AQA= --LQksG6bCIzRHxTLp--