From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00,DKIMWL_WL_HIGH, DKIM_SIGNED,DKIM_VALID,HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI, MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=unavailable autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 5E8D4C433DB for ; Fri, 26 Feb 2021 06:37:31 +0000 (UTC) Received: from merlin.infradead.org (merlin.infradead.org [205.233.59.134]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by mail.kernel.org (Postfix) with ESMTPS id B3833601FA for ; Fri, 26 Feb 2021 06:37:30 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org B3833601FA Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=linux-arm-kernel-bounces+linux-arm-kernel=archiver.kernel.org@lists.infradead.org DKIM-Signature: v=1; a=rsa-sha256; q=dns/txt; c=relaxed/relaxed; d=lists.infradead.org; s=merlin.20170209; h=Sender:Cc:List-Subscribe: List-Help:List-Post:List-Archive:List-Unsubscribe:List-Id:In-Reply-To: Content-Type:MIME-Version:References:Message-ID:Subject:To:From:Date:Reply-To :Content-Transfer-Encoding:Content-ID:Content-Description:Resent-Date: Resent-From:Resent-Sender:Resent-To:Resent-Cc:Resent-Message-ID:List-Owner; bh=7cWTR0orGVDwB1Mi9DxlZmgGOyfHEPxhf1SkqGQgmx0=; b=DtwYZvhQ/n/dkQ95f2vPUQm5T T1F5J35tMLpqpk77oFjswgN/PWq39mF+fuq3Of5KKjID8gc38M35yYlbrDj4px7m99HmeiqDJjZ6p d/rymRRA4e5sCT/cr1tJ8yjEYsIBpcI23ubaGKv6lGUHZOdvwxAekQczcTG3ZvV5vwWgeHKFASzRy rSpwMZG6mej73xq7cDJ99yBuCBX8qB8YNxEJ/u9u+KNmIncgzhxeUCuGucqOxD1k1EzU8PS06Svz8 VvueT65QHS4bJR9YoJ0dW9XUxVA56wQy43yszEBpfznsUwnlRXqq9Nlm3HmLGpVj1rE8X/lAgHTDx Umruk1GXQ==; Received: from localhost ([::1] helo=merlin.infradead.org) by merlin.infradead.org with esmtp (Exim 4.92.3 #3 (Red Hat Linux)) id 1lFWiY-0002LF-Bz; Fri, 26 Feb 2021 06:35:14 +0000 Received: from mga04.intel.com ([192.55.52.120]) by merlin.infradead.org with esmtps (Exim 4.92.3 #3 (Red Hat Linux)) id 1lFWiV-0002Ko-8q for linux-arm-kernel@lists.infradead.org; Fri, 26 Feb 2021 06:35:12 +0000 IronPort-SDR: 5+xZZe8kHcqFrnKFKQWYHegZFJwUC9zYRO3MNTSPVopzkBHzQv6HAZnSWy/v3ESU6WbKz4C/J0 So3yHR+Z22rQ== X-IronPort-AV: E=McAfee;i="6000,8403,9906"; a="183333752" X-IronPort-AV: E=Sophos;i="5.81,207,1610438400"; d="gz'50?scan'50,208,50";a="183333752" Received: from orsmga006.jf.intel.com ([10.7.209.51]) by fmsmga104.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 25 Feb 2021 22:35:06 -0800 IronPort-SDR: eFn4HFy+n0P1p563TcZjaKGzSz2ekfrpI9jNOXJ2Ac9jTxJmeUKIyDj0+j+3RSW8L2MGp5dVsv eARqs8+7gCZw== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.81,207,1610438400"; d="gz'50?scan'50,208,50";a="367685338" Received: from lkp-server01.sh.intel.com (HELO 16660e54978b) ([10.239.97.150]) by orsmga006.jf.intel.com with ESMTP; 25 Feb 2021 22:35:03 -0800 Received: from kbuild by 16660e54978b with local (Exim 4.92) (envelope-from ) id 1lFWiL-000362-Vo; Fri, 26 Feb 2021 06:35:01 +0000 Date: Fri, 26 Feb 2021 14:34:18 +0800 From: kernel test robot To: Suzuki K Poulose , linux-arm-kernel@lists.infradead.org Subject: Re: [PATCH v4 17/19] coresight: core: Add support for dedicated percpu sinks Message-ID: <202102261412.zCSQLdKB-lkp@intel.com> References: <20210225193543.2920532-18-suzuki.poulose@arm.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="/9DWx/yDrRhgMJTb" Content-Disposition: inline In-Reply-To: <20210225193543.2920532-18-suzuki.poulose@arm.com> User-Agent: Mutt/1.10.1 (2018-07-13) X-CRM114-Version: 20100106-BlameMichelson ( TRE 0.8.0 (BSD) ) MR-646709E3 X-CRM114-CacheID: sfid-20210226_013511_684353_D2350DDD X-CRM114-Status: GOOD ( 21.42 ) X-BeenThere: linux-arm-kernel@lists.infradead.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: kbuild-all@lists.01.org, mathieu.poirier@linaro.org, anshuman.khandual@arm.com, Suzuki K Poulose , linux-kernel@vger.kernel.org, clang-built-linux@googlegroups.com, leo.yan@linaro.org, mike.leach@linaro.org Sender: "linux-arm-kernel" Errors-To: linux-arm-kernel-bounces+linux-arm-kernel=archiver.kernel.org@lists.infradead.org --/9DWx/yDrRhgMJTb Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Suzuki, Thank you for the patch! Yet something to improve: [auto build test ERROR on linus/master] [also build test ERROR on next-20210226] [cannot apply to kvmarm/next arm64/for-next/core tip/perf/core v5.11] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Suzuki-K-Poulose/arm64-coresight-Add-support-for-ETE-and-TRBE/20210226-035447 base: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git 6fbd6cf85a3be127454a1ad58525a3adcf8612ab config: arm-randconfig-r024-20210225 (attached as .config) compiler: clang version 13.0.0 (https://github.com/llvm/llvm-project a921aaf789912d981cbb2036bdc91ad7289e1523) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install arm cross compiling tool for clang build # apt-get install binutils-arm-linux-gnueabi # https://github.com/0day-ci/linux/commit/c37564326cdf11e0839eae06c1bfead47d3e5775 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Suzuki-K-Poulose/arm64-coresight-Add-support-for-ETE-and-TRBE/20210226-035447 git checkout c37564326cdf11e0839eae06c1bfead47d3e5775 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=arm If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): >> drivers/hwtracing/coresight/coresight-core.c:800:6: error: implicit declaration of function 'coresight_is_percpu_source' [-Werror,-Wimplicit-function-declaration] if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sink(sink) && ^ >> drivers/hwtracing/coresight/coresight-core.c:800:43: error: implicit declaration of function 'coresight_is_percpu_sink' [-Werror,-Wimplicit-function-declaration] if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sink(sink) && ^ drivers/hwtracing/coresight/coresight-core.c:1024:7: error: implicit declaration of function 'coresight_is_percpu_source' [-Werror,-Wimplicit-function-declaration] if (coresight_is_percpu_source(csdev)) ^ 3 errors generated. vim +/coresight_is_percpu_source +800 drivers/hwtracing/coresight/coresight-core.c 775 776 /** 777 * _coresight_build_path - recursively build a path from a @csdev to a sink. 778 * @csdev: The device to start from. 779 * @sink: The final sink we want in this path. 780 * @path: The list to add devices to. 781 * 782 * The tree of Coresight device is traversed until an activated sink is 783 * found. From there the sink is added to the list along with all the 784 * devices that led to that point - the end result is a list from source 785 * to sink. In that list the source is the first device and the sink the 786 * last one. 787 */ 788 static int _coresight_build_path(struct coresight_device *csdev, 789 struct coresight_device *sink, 790 struct list_head *path) 791 { 792 int i, ret; 793 bool found = false; 794 struct coresight_node *node; 795 796 /* An activated sink has been found. Enqueue the element */ 797 if (csdev == sink) 798 goto out; 799 > 800 if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sink(sink) && 801 sink == per_cpu(csdev_sink, source_ops(csdev)->cpu_id(csdev))) { 802 if (_coresight_build_path(sink, sink, path) == 0) { 803 found = true; 804 goto out; 805 } 806 } 807 808 /* Not a sink - recursively explore each port found on this element */ 809 for (i = 0; i < csdev->pdata->nr_outport; i++) { 810 struct coresight_device *child_dev; 811 812 child_dev = csdev->pdata->conns[i].child_dev; 813 if (child_dev && 814 _coresight_build_path(child_dev, sink, path) == 0) { 815 found = true; 816 break; 817 } 818 } 819 820 if (!found) 821 return -ENODEV; 822 823 out: 824 /* 825 * A path from this element to a sink has been found. The elements 826 * leading to the sink are already enqueued, all that is left to do 827 * is tell the PM runtime core we need this element and add a node 828 * for it. 829 */ 830 ret = coresight_grab_device(csdev); 831 if (ret) 832 return ret; 833 834 node = kzalloc(sizeof(struct coresight_node), GFP_KERNEL); 835 if (!node) 836 return -ENOMEM; 837 838 node->csdev = csdev; 839 list_add(&node->link, path); 840 841 return 0; 842 } 843 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --/9DWx/yDrRhgMJTb Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICPdqOGAAAy5jb25maWcAlFxbc9u4kn4/v0I1U7V1zkMmutiOvVt+AElQQkQSDAHq4heW IisZ7diSj2TnTP79dgO8ACDkmZ2qmYy6QVwaje6vG438+o9fB+Tt9fi8ed1vN09PPwffd4fd afO6exx82z/t/mcQ8UHG5YBGTP4GjZP94e3Pj5vT8+D6t9Hot+Fgvjsddk+D8Hj4tv/+Bl/u j4d//PqPkGcxm1ZhWC1oIRjPKklX8v6X7dPm8H3wY3c6Q7vBaPLbEPr45/f9639//Aj/fd6f TsfTx6enH8/Vy+n4v7vt6+Dr7e3d7tvVeHT1dXvzuL29vR1+e3y8+rp53A4ft493m8no7tOn 68m/fmlGnXbD3g+NqTBRhQnJpvc/WyL+bNuOJkP4p+ElUb8ToEEnSRJ1XSRGO7sDGHFGREVE Wk255MaoNqPipcxL6eWzLGEZ7Vis+FIteTHvKEHJkkiylFaSBAmtBC+wK9iDXwdTtZlPg/Pu 9e2l25Wg4HOaVbApIs2NvjMmK5otKlLAsljK5P1kDL00s+JpzmAASYUc7M+Dw/EVO27lwEOS NIL45ZfuO5NRkVJyz8dqEZUgicRPa+KMLGg1p0VGk2r6wIyZmpzkISV+zurh0hf8EuOqY9gD t6sxRjXX4fJXD+9xYQbvs688MopoTMpEqm0ypNSQZ1zIjKT0/pd/Ho6H3b+MHRBLkns6FGux YHnYLbkm4J+hTMxVL4kMZ9WXkpbUO/Gw4EJUKU15sa6IlCSceQYsBU1Y0CgnqPLg/Pb1/PP8 unvulHNKM1qwUGl6XvDAUH6TJWZ8eZlTJXRBE3OXiwh4AkRRFVTQLPJ/G85MNUNKxFPCMpsm WOprVM0YLUgRztbmwFkEZ6ZuAG3tD2NehDSq5KygJGLKMrUyNecV0aCcxsKW/e7wODh+c+To W1UK+sHqqRT9hYdwQucgr0yKZm/k/hlMtG97JAvnYDkoSNmwWLOHKoe+eMRCcwkZRw6DYb1a o9gePZmx6Qy3qUKzVgjVY73Y3sS63vKC0jSX0GvmH65psOBJmUlSrD1D1226lTUfhRy+6ZHR 1tUiC/Pyo9yc/xi8whQHG5ju+XXzeh5sttvj2+F1f/juCBE+qEio+nV2fsEK6bBxszzTxd1V tt/fUS6YV2X+xlzVmoqwHAiPDsDiK+D1pWQR4UdFV6AXhtyE1UJ15JCImAv1aa2eHlaPVEbU R5cFCWl/TkKSJEF3lvLM5mQUDqOg0zBImJA2LyYZ+Gn0iD0iWBsS3xuuElkB57aftLgZDwPc Ys+eOnOv0DRUaWCeAntfup7ZXP+PT1PmM+hHn6bWMaPjjcFgsljejz51m8kyOQdvHFO3zcS1 HSKcgciUBWkOgtj+vnt8e9qdBt92m9e30+6syPXUPdwW9kwLXubCVGDwKKFvNUEyr5sbqEn9 1jPqqDFhReXlhLGoArCJSxbJmTkoHD7jA7+/0w1yFon3+EVkowSbG4P2PyiD7H4X0QULL3ha 3QJUB468X7+aydEivjx4kMc90SkvY5xVHs5bFpEGygK5hPOcg5qgmZa8MJy01gjEec3+dDhk LUDmEQVrERJpi7aRPU2I4T5xn0EYCvMUxt6p3ySF3gQvwYUaeKiIHLAIhAAIY4tio0YgmGBR 8bmlEpELykzWg5C+tYAFQL+B/29hew5+I2UPFL2/2iVepCQLqaUITjMB/+MD3VHFixw8OyC0 wjBmLYIzUW7JotGNIVtTA1o73R09BA2A2AofcpxSmYKZUuOAMe1vcs3wfBtrHGL4Di7YqnP1 lhFyf1dZyszQx/J2AREgrNI/agnxp2EV8CccX0MAOU8MgQk2zUgSGyqnJqgI7YAKM8V+CyFm YLs8EyHMUizGqxJW5rNxJFowWFAtSdcsBqQomHdz5th6nRqybCgVMZfYUpXc8OBJtqCWfvj2 F8lwgBNO/AtHlVERSew7EwiPVXDbLQEGyQCEWkZkHqaW5SgE/eLpDfqgUWQadaXoeKaqFtA2 CoREmFy1SGFF3MAVeTgaXjXeq85n5LvTt+PpeXPY7gb0x+4A4IiAAwsRHgEA7bCQPVY7YWVK e2N6wdjfHLEZcJHq4TQibeBxYzYgRicSAvy5XykTElxglIHvnCc8sM42fA87V0xpE3b6PpqV cQwxT06gmVo2AQ9h2SZJU+VRMHHCYgYNNJA2oDqPWeI/FwoZKedjRQZ2rqPTt9QauRJlnvNC wlnIQZBg5JqxLQUqeIgutiNDqMI4flilxPAtACXDuYZqdccmvArn4Ov6DN0eoHuckKno82Mw h5QUyRp+4znpR2yzJYUQSfYZcFhZUIBvhf2xHKk6d+3aSxVYC5Odwn5hjJ/PQEgYgBhrR1Sc QkiP1mrWH9QCDflUp6FUAC4AFGtMqJDqQP582XVHJ01LZ4IpCLcqMnDYDGaZQtx9+x6frO5H N53S6CbotnLYVfSqXl1XzWh+N1mtLvNj8N1BwaKpH4WpNqAQk/E7fbBVfvXeGBFfvNN7vvIn mBSzyMPLTEFGo+HwkvEVk3AM0zJPm6JzkO3IFxGDLI2P9HZuns9vh++DmjwQx/AMAcnLy/EE k6nbGDwjIQxRreKMhgYmaoljH/HGsnAN+WroB78tf/wX/InPdulJVyKNunhGT3cQHDenRx3L NAqMZ4KkSZVe3w3901GiBQfrR+raG47uLqxF9Z9NfFupWFzy1IIFSPwi1Wwv7T4szBa++kiG EixfmtrRiGItClAmqz9DKuNOKuY3ny0g0ZJ0ag5hMaIHMxWlmuguJy5Vz3jsJ0/68xUyFRem e3NpE+vebi5Juv68iqTpct49Bvb5IakoVW7GOj/h8fn5eBgcX/DW5NycnOAIM+hojWrqLipw m1PDcsPY1TQHwyxy8Cr3Q8NZA4dEoV/LVVRVikClje3ekLOMPMSMmGnTZj7IyZep1VydIYuo p9hKoSdCRxJKDvnpuN2dz8eT4zdUZqxI78ZDaZsLRbxxiHJWpgE4xhzdks2ajH9cyR7p2uk0 AKdPF27DmnwtP9v0XDESOiXh2uaEoEiABK+W0ktnC5fO8zU2D5z1JIGiMqd1PrruU2wfi1RE ozob3SZ7OznHXcLGAAZKgq4NZnraERMo14umNvp/NVsWTFI5K3g5nV1sq5tCG8ABAGOYLy+q IMscQ5FqRpPciiwvkHGlyajuXae7rg09NQCMPqRvmIVuPF7bziSb8URspsJaJC/yhMlq4kO5 HRMTAVZ2uOaMp14RNeyRr1eFyXkcCyrvh38GQ/2P5SGyQh3W++tRm+mcPSAmhTDLsC5A84MM YIyHQ3PCSLn2ezhgTS54TmBdX2a5Pqnl3I+79ehU1KzAdLux0ZSYh4fDrzpuMqIAgNcaeXeD AimXl1VYLJtbnpz4VFIJd0kgcFO4mSTVrJxSOM0G8MfbIIS11QPPKC/QRY5GbQcJm2YpRn4Q QBgxCCYCqRDVksmZSpjmayuUIgVBPO+/EqmZ7iXCe4Fqq8rvOCu0MtxILzlOq0sBqhmkEEcV ZWjI/0Hlzgqe6rKB4Z/DPicQwmTg+SV5TrMIeo2kZbAUD6aA9HqvfZnRNFKX7ebl9Yrl9a3s hQvbFfUj8bAgAiB+mfpuXjE7Wj1gyiWKLMRFY/+FjSXl5rppkB//szsN0s1h8333vDu00Bt5 8Wn377fdYftzcN5unvTtk6WvcWGnVMzLIc/Xbcfs8Wnn9tW/4TP60h+YlN68VX/x03GDV0+D l+P+8DrYPb89NdUkik9eB0+7zRnkcNh13MHzG5C+7mDcp932dfdozi3OaZUt4b++jCDwYgDm 8Gend4s4N9HJxSlpv6mW8dwuwzgGHQgrBaqk//B584P+tEQdv6vOMGMqmIVmdCDBAtBU9aHZ pF3Nxflq8e9Pz//ZnHaD6LT/oVNc1vkRYcowMSJ5yH0ZVt0m79q4B1Az+RKcrzaUXqHErEiX pKBoyVJv2cKU82lC24bmMDULc4nKTEgXdOjL7d3302bwrVnvo1qv6cQvNGi1wpWUKYKwWOdW rY/6DYCCjOpklGEiGtb4+gaZPpvUtgF/fKGDICFzOhbv90CosJNhNT2cAeAh4yFAJjsFV/Nz nqxHk+H1hd6JwDMDoKMQcKIAVPZqjzan7e/7Vzia4DM+PO5eQIj2WWlOCpVVbCUzP4PxrBIS UL+6gcajm8HSIXBZ4A6WpFci5Oa5NLWg0ssAoOWlW5cOiqJGV3m8GedzhxmlBK99JJuWvDT6 au9MYVloMeuyj34DxcT7CBSKecXZZs8BKUgWr5vbr36DOaW5e2nWMlHUulbHuyw1q9olV8sZ QHL7Nly1mowDAJkAJSvpdFLQKahaFunkaFWjE5K7MsScvi9xj9/76Aq26z7Rrfqm3mmMM1uF u7C0CeAGpuPrMjVPF4KGCBCMcNYlqLZqHmjpaGgnt/8WHYXLzTrEBE4a1q04o6AWAf5RmjZn 5geKfaFOxGnlrxExW6Q8qhef0xDz8UauhUdlAqYDTxpNcHNc0aJCKQ5sOcf7Sp9UrcSt04Cu QJHco+D56ra/o03tm+R5xJeZ/iAha25VUyYg2CoACYK7iIzROZYcsmntVSc9Bgnda4n6ekXr PsrUZ29zrO4AJAdyZIjW41g46+KqcAgigLrer1iufKdUgi2QdpsOV7jM9+7a6sZ6Ly+MpvL+ oIWRuhc3izfn5n2TeDeyuXQd3SlCHmfVAiKZqHUTIV98+Lo57x4Hf+j44uV0/LZ3ESs28wBx dxWqmb48olVzcdlcEL0zkjVRLB/Ok3KqUyS9C6a/cGhNV3hVhLfMpjdRN60C7wLvR0YGUp8x X+6xPn2qTioBT2M6g6Auuml/zis46erCTemmzRKhYHB6v5TUNOVdHQ2oBdgoh4W5vUBMvURd yenQGdiracGkt4SjZlXSTD83bIx4oz4Zk0FSJpbN6vNANktnUTqW0/a+sHnLwC8BxgF10yxc X+CGOlXa3YTrvqr0ixfJ6mniNXDs21u1KRCq8pwk9oC65ruCmSAEs/yUlw1hTJKgfWsTepvT 614FR5ivspA8yEMy9RGJFlh04rukT0XERde0Gx7CU4vchRbOiOZ80y/KUam6B134y7sqMPPm 4AvIWKdsIvAFdd17d0o69nwd2JUPRjmFbhHE/tjWHroDsdnIyKdktYQFICj4ZR8z+yKVSHB5 YQWRiMekgkOvOECNhOQ5KikG+wiFdKa+y/q0ZWBKOvTP3fbtdfP1aadeYAxUUcCrIaeAZXEq 0ecaetHSqjjKTQcOJLu0om4qwoLlLqjDWdf8OLGMwV8Q8cnAIsfHA7l6ViCJZZqMhjyxSmhq 1gPyfIeknuwMAr3IP3zKhFVzjKt10y7t/l8SrpJ8uns+nn4aeYl+kIIzsG7k1ZoyHql41a4N UBJFHK5qXWwtqivlmeBuoK+Tt7lUjhewhLi/U/84IERBkwspvSlicNRPf/1EyqaFM6iOVqqm LqbbHXD5oQ/kzIUhgwaFKfSVskwp+v3V8O6maaHS8QDiFTia2zFsQsEMYdLdm5GzwAj81BbV n3FruF5zi1xQIiLu2zrXh5zbWYqHoPRnah4mMeitnyX6pT1OOKdqOcA0FVTrR2etoqZMpgH4 vpQ9LVR6GZyzFR1PwSddeIozVzAYn92YNvqyenedZtTXn4bpWPj1mbXxfbT7sd+a2aJW7dOK pIFRXZmHITHj0DxMQ2ZtrKZUeCtchax/e5uHH7ab0+Pg62n/+H3XXpQqRLbf1nMY8F4WWgNX fdVjGHiTjGUvM+s5zUKmeWwlqzUF0Jh+AmCAcIh5SPLOewM1UJvSUq+ceotr00lPx82jSkQ1 tmVZuffkLUmpTYSl2YapX4EadXmxbk3dV8bVl7kQb4MWVviSp+0HaI3Qq1lpU2dFzVd1zLZo bbSVIoRTtLS43jdQiKeigi3sBdR0uii8OFqz8bTU34KBTPnC87RIRdMlxJP2y6OCTi3brn9X bBz2aCJhaWCmfRq6mQCpactRj5SmjPfHMd8NNbSJZ+ycVWSRmrYZzF7tPUFXYkdqwIwBR2r7 48/gXzhj7R3oozIDJjwpwlTIoJoyEYAxsO5hUr6S1H8TtaArpUd1wbTPb81YZQm2JrRl69Yl bDMvw2BmwhtjyTYW7VDsy+Z0tsGpxBTJJ4V+zSkA2Qg1bAuNTB5rur++BzuNRb+FwYedU6ls z8ANK2KFyiqt65Dww+hiBwBn64pMM9jqN8NkDM+StR/jN9JRQivPeJdzREitK1blaXM415cz yeZnT4wQE8BB7UlKzf2imBS3KnxvR2P7qWIGv/2xgctpzk4cuX0IEfsLZ9K6pbnDPHf2pY2Q VNmkkB22L0j6seDpx/hpc/59sP19/1JfLjgiCmNmd/mZRjR0bBLSwWy5jyTr7zG+qxNNPVEj O+Puq9BekwA81lrSS89Hm2aJ0cw30pTylErvaztsgnYrIBmE0vgOpxrZK3G443e5V30psJGH Nu6dUvneAjFzkeA1dF/GaSRk5Fs0QAPfy5+GXUrmqBGohkPgDoEEgmZW/dk76qQDms3LC95e 1kSMdnSrzRYLfhydA0cOq0SZYrTaUxpMEKbvaAyDqOTThSW3iK9HqwhEyevUuidRXIiLtEg6 /PoXq9GVdbunbx+2x8PrZn/YPQ6gq9oT+A8aFqFDCCdm7mpbhq5J0oXq64uL75pfVqU0nOXj yXx8fWMvVQg5vna0QSQ9fchnPRL869KwmEJySRL1YsgKwmouLVQSErmj8a3ZnbKxY8MfRvvz Hx/44UOIUu7hfVsAPJxOvADir3dE9YXFhfbeIMV5FqLOakbrQkT7CGtyvVF61y5sRNO0e2Dq 7cnZSW+b8QrNL8TT/lJzfbCXaikXGyBocxvoTFAYghC/g9iMSjNXQNDIlk9DxYIkLOl1ngRf aAKuzV/H4rYPwpl3m32TbXhqb9WSkjyKisF/6T/HENelg2cdlnqPp2pmL+8LuHHu83m6yypb WEbjrwf0bAb3PatCbhk4fhkI1TJRt1dihqkt58CpBgEN6r9OYzx0eViBYkUWDWOalNQ3mptI AvJsDdGahYwjaSiFWYcFcLTMmJTWJQAQMY2FlwwWUectvKw5Dz5bhGidkZRZozb5TotmRTI8 Vn8ZQ7FAoGRm1TSDJwt7VJ1MdV+1pPgUpr4nVhe89WsaM+eNpHeS9Ive2QM1osaLhgZbAtUx SYqkH50QOXPoMQnAwAiXav8dCQv1V7cUUzcwag6PORPt1vfnbT/uAnAgeCFA08QkWQzH5mVq dD2+XlVRbv6VDQaxjmO7UNxgwYHwBdRlmq6dv84iFHeTsbgaGogLYsuEi7IAfwO7zEJqoQqS R+LudjgmiS/4YSIZ3w2HVoG/po39VaGNACQ0ur72VYc2LYLZ6NMnq0S14agp3Q19t6mzNLyZ XBsANBKjm1vjN54TWCIYynzSe/YrLEctlCNeUUvqK3zwtqpEFFNf7JEvcpKZJ2zGBIP/zOka C/mtPOnY1XftTyiYzbTvSzS9InJsAOiOeN0jttXtXd2iZqRkdXP76doz+7rB3SRc3Xg+xMdY V77XFzUf4H11ezfL/4+yL9uOHMcRfb9f4afp7nO7prSElnjoB4WkiFBaW4qKCDlf4rgzXZU+ k2nnsZ0zVffrL0Bq4QLKNQ+5BACRIAmSAAmAORsMbvLcdXj85rIXqQ0dnb7+uH+9KZ5e315+ fufRla9f719AIXlDcxXpbr7h5vUFJtfjD/yv6hH2v/6ampfjIZAhdhwHk5AOEirBgkzQomhp wzZPj3Q6IbwauYI5P6CAkIuLspQox71FJmed4j/EGQn6YKK3JaiCz595Z3BT/9fHLw/45z9f Xt+4av714duPXx+ffnu+eX66gQLEhistWABDp1y1R+bbYkAywFILA6AOiv4nINc18rkms56U WRiALygVEgvEHB14IywfBiCcB47u58gKbDaaKPD1JI2//vvn7789/qGcmI1VTlGL09d4ZT/p ysak5ff5VSOt8l1SYDN7OagBqdRfo4OHDNGY5tWO9d28/fnj4ebvINb/9c+bt/sfD/+8SbNf YHL9w2Sfybk1jp2A9QRM0UdnqK5XyhzO+4idBP6Px/GWkzZOUjaHA33HwtEsTeprgsHoSk/0 0wx/1TqfH7aa3Q1iy6zwstjBP+QHyoXIDMfwLHQYtLeKda2ojra+tCb8H7VDLlqerILD+UEg z+Ng8HTas2NqyXjApUu/npORsxsAxQRxLSRKpO0NanLMqo2cqwRXES3KbYw83zXo1NZ1jXIo jkgeiEE3EtGtOh7CFgYL9+X5G/oV3PzP49tXwD79wvb7mydYHv/74eYRo/h/u/8sxbHxspJj Wsgzf+ICwWl+TjTQx6YrPursYjWEwUK408iwSmRpgXUuT9XMH2BMFTVo/2ShfJ1xlGIQ4poQ k2ijnH1kit4sV8/vk6kDwx2/KZbaNYaXqYlrRui4ZsgXBCoBn+x4d1KwXlyJW/x0sOuyanI1 Nrs1U660gdI2DXghe3kOTMTjCXeV1Mkh77jfnWa5a5TCExYvbug1Dasq0FIumHzVD2CMe4MW 49Vkpq07gD3V6C7Yko5B2ejfrn3C6qTFfHD0F/2x4IfU5wJ9bhVPLixPHdAJAmveRwXKD3Qm YrnyfEcv+Rk/6rI0olR8bQFSFeM6sIBQYBXAp7xTB44w+2To9WOp8bqgLAHhCs3xrxAVjaWN WgIIhJyYPnLoIm6rQ1yT04XvMeTgTisMj956+owUheRS9JY9HrCYZ4wPsXUwZ/9BmiPNf1AY 1JOtPpfTp1CQcdMkIdFxVJ6eCGtHLUpyim3aHZ99htk+UkynUMvPawuLhbFrFE8/fr5Zdbyi VtLC8p9gfMk+zAK23+P5STldwys4xl0gb+lYGkFSJTDjh1txDjVf6n3DvIDztvWqsYXeECyH xU/nZYJDtyWnwYplaZfn9XX4l+t4m3Wau39FYaySfGjuiKrzswBqPZCf6cVYYBPYzTEoadbZ +ZDYT7vFVyD9uybpaE1Iaoa1WmgBG+NSl4CXEXaFTQAmBFn2QuNTK/SCzqSjAglakBWmzY5c K2eCw96jWYUpSSunCsXVosEuRLC1lnlF7iEzES4BsN/1RMMYmFqXos5UB4cZ3Vfkfe5SMtf4 yE8FSregLVSe75GFXDDVFXmsPJNUsO+XZVKT33OX0aajkzepVDst7RpBho6BZOqwpb8uRQY/ iI7+dMzr4ymhZIsFjuuS7ON0NVwydaKhtWQUmylahjT6kSRBN3T0UcpMsWdFElIDKiYnjxtU 9koB4RkzoI9TC6cyVdH2ObnLLDTHpL4kqpInYW93fUKxKJG0+SFhJ0YUwGAvTkqQu7SpqGTS YzubU3oUq6y05S1AVNswL2AhBzHI+CRjUbwJbcgojqIV3HYNpzpXEXjFoUrF2z7sYLNxVwru K7BDq0EdeYrg2vvUXbdCewLluxjSorOVtjt5ruP6tCTpdN72XTpMXo2hTkVax74bv09/F6d9 lbgb6qzcJDy4skWn4vuetaayZZLYzjgJUvriwSTcaBcyFIV1xCcC7VxWJsGbrZZ0PJKpjkkF JlBhYyTPe4uwwgwuk2ENN85lC8mQ4psDNHJ/+lD07GRr2aFpsoLOT6Y0DbbWnF67ZbKiLEBM qZsTmYqF7C4KXStLp5rMc6o0+bbfe64X2coAu4ey41WShu4xvl5eL7HjWFkUJJogE3RVMrhu bC+nSmG/JJOYKFQVc92NtYy83GMuzaKl1niFkv+gG11UQ3gqrz2zTJKizgc1a6lS8m3keu/U 3uZ1peZPV0YjAwumDwbHso/w/3dqwkMDfyksW1iPblq+Hwz2Bq4v05esj6Nh+Etr16WClfe9 OYA7N3pbNQzsXZqjKnX9KPZtLGEJYnF4lyOuJiT1h4LSrHVCv6LZQVzRV6vs9Kdu994qiYR8 ituryaoUB8p11iorOg75S42H1Qtv0EhVTGdtTMyzMlc4WdM3rR39AV0+LZLGe8q2+HCkZ9kn EPnpDsPGVY8lcxxAOUk3AW2v6NTTzLYVlrC7lc7g/y96T87Zp+BZyjcvSw2A9hxnWNUbBM17 q5ugCtaqseihI/Ja2Jhs08Qy1pgZzaIWs6IU0exkm1jB/sL+wXpXWJMkrtpb6+6r1tqd7NTt wX7xrTaUQjzEYfBu17csDJxosNX4Ke9Dz3tfyf1k3LlQXd4cq1Edtq6NxUcWWLKuKvXh0WdB LdXj6U0h7xYCFsdtFYPANrU4/FSQYJW4G+O8S0B1BxsFZxuKkYibHCCE9hVPEO5Akye9XsZD MH9woOv6Xs1oIJDQrAF2uDPPHdxYQmtHyiLltO2lg05YOVIcoggEg+4rgd36oDa3fUF0DRDE Wy8QX9srEbsk8mJrWVUl8WalW3heyh3ot3KUlYTK8rTJLDjeXTomxQVjjaOkL3j0UZ/TCWrn 80UG2/ZIaWX/dug/bInxxAPNKln58A42xaK+NT9NK9fZWj/r8gOmpmq6ZeQ0fH9SGq8eN+Ba 4bmxnSIZWg8mWJsTnPWXcuP4zvLxSvdNtHyI7McflzJ0Ns48kFohJ/6P9es2KStMnGFrS5vu Ayf0QTzlHJwzLg6iDTFyl2oUx7VJCERGyzSa7jZ2gvdmKRfjrsG3kNDHotGOTwVRlkRe7IwD TnrqjWRbaC0934VafCWXnnTlYiLJhtKnFlUOVs16FaUcDglUUcFgpSeTBdgxvHBrF5O0SlQb WwHTa3vWnb0QJPndXkO6MJjo9DoEOjLRXVXoBx8cpEYkIkSNO+SQaqdB9o5vQnTVjcO9bHRa 0+ld14B4OsRXlPoRRikYIyrRCwg2BiSY7m2O9y9feNBp8Wtzo/vrqC3hP/FvNe++AGPs8q2c 8EuAy2LXMk+HdslFbtJYgnDYA3LSBxVJAIdXuEbdXXoVtehFtjutOI2Az2S6xpPW+kNS5bqL 9AS71iwIYqKQmaBUPC2pTp9zbVB3m+Im7ev9y/3nt4cX04u5l1PHnBUe4R/WlDxWtWYibQJ9 WXzuJ1qiIcfLhJTrkcCYVyJTvBROdTFsYdPq7+THs7gPrBU4vhfnBXM0QJmhNyZ63GDk9CS1 7OHl8f6bGf0wnt9Pz0DoEgGoWMupK9zWn59+4YhXUS734ZPTFKtloKxf29Ih88XrNK4qrQrK 7FOtASIDZF4VWr5xQXV7yHZqlr0RsWQMJ+HXE4+K3ViwC1N6w0G/9On0xQrBYFSMFZbKsY2G sPbETFB3I9uuRqEu5xLQLHOSVe3RorH5xV7k39dbLRArk2Ok+2iywdK0HlqqTI54v0yWumHB IvXhCR1nPWMzCOnbgZFsl1ahP5iDN8KtQzQu3B/65IAj9B7+r5azrCx3bSLHw6jka1XyYkAm edYhQ95lol1yyvABmH+5biCnwjYpbdyPcQgtozlS0fY+6FJipHGDe1dUkAgmiWira5SxZ+W1 bLFyexGcpqj3ZT6MjSBLWSje5wp+5QNPYFEcihQW8Y4o1SSiCjbEGvRWRsabj4sRnle4fmDO ylbOqyIBlaVvDsRUthqDi1p4UGc2r5ZDU2b7gh1xj6Zcnk5lOW7fy4GLeBkJDE1qJz6nRCYP Dk1XOoOnn1PvvCVM2necC2vAF+DGt+SIKoSDMrVvFG01v6BLlgsKhMiAaezJwq/55jOh9Cwt uKtTtMevqeU9yQSfkqyvG8eSEn8hIG9zWdp5m0GWBitX0yfQm0pMHvy+VQAY2DqP3wjD3PUc jgkeJOWnT+FPK98uIADfYzcc9Dic9M4TX+hXtQv4mnaWZwYmItheDCKChJ+5mbwiClaMYsyU TGDr07npdeQZGo6OFMOd+RHrff9T623IFo0421mxTqYYerBKl3dKTOgEEfGgSz52UwAWC40L NMziE6xQy7M9phcjMGg6LyrGOXQO95fD6F0VrD+9wGH4Xrfi3wfA6jS/P1X9/Pb2+OPbwx/A NlbOA9QJNZcPZrcT1hEUWpZ5fSAPxUT54uWLP9UCBBz+Xvmu7NONL99fTog2TbbBxrUh/qAq a4sal7GV6rr8oJaY5dKHZmVVOaTtmHhvivxa60KVpzEdFJouFp7YmPFolobk2+/PL49vX7+/ KgIB+seh2RW93moEtykVxLBgE5l7rY653tkeVZ9nWaRUPOPyb0wQNKaR+Pv359e3b3/ePHz/ 98OXLw9fbn4dqX4BWwqDt/6hS1SKswglxcJvluProTzjl768aWgwY882cZTIpPAQpaS8ys+U xY+4UZI1iIisgFXsw5SfWimwbqokK6idEbENtoaphcK4ENEriOlufUkDF0mzxUtq5tJgvAjH gUWl3KMiTCif/5pTZcK69QQ6DaB+BRmEUb3/cv+DL2a6Qc27FDO81teTXn3X7Jp+f/r06dqA iaR3Sp807AqbIX3YigRFfaf7h3L+mrevYnaNzElipzKWdlgFlHSq67zUGdhbXnG3Crz6+bqQ YUCJangucJx4pvTyEJQTHW4m7wRzeXKisjSrGUKWxEiTenFRwYtqBArhgiEHoSpg80eaY0pa hVrQbbsSpgY4nTMOy5eoTLA8q/tXFLIl5stMg8ijA7m1pZaUDCJyEDaiQo5BQRisjLtEOe1A pQa23DrNSeD14ynJyOZNawdtdgCJIVQSDg16NIwsRjZQqKuLKA/tqZ0JJNhrxJyxlN2Wjuep 5XRNeovejSqUeMlSAl/3BZ2XeaQJtbc5ZWzqxgULHY2L+VxFFoxBvgRDyAAKTaWBplVL4eHT Xf2xaq+Hj7YLYC4ulZkXhkugtH2bscHI2KItIX378vz2/Pn52yi6qvHRcpHU0mBIyL7MQ29w jI62LCxcAud8INInFSVORzlC+cijTxc9UZzsg6h+XsIrp/2cg789YjS+3BosAvVHoqpWztQG P/S4wbpvRxphuLVsqoBSLrEAMNowjO6WPw5O1zjR8PNftfoRM06muc7feaL5t+cXQ4Vp+xY4 ev78Xzoif+I5jdvjHczBGwzcqfP+0nS3mLaLZ4MH077CvF43b883GLwPWxNsll94Qj/YQXmp r/8p5zwwK5t51/XMKXvmiLjyjOlyXxd1JccCSfSonu5PdTolqpOqgP/RVQjEPBDjW9um1rwM 1chXwvzIozSmmQDvn7cqGwjnl5ueCa/S1vOZE6sqjYFVTDMda2IYjJN6/DBjBjdwaOeWmaSv 9tTCNlfLfS88x6xWXGhT1fLL5NVamzQvG8sbc1PFBag5uIpfma48i+SIIPav9683Px6fPr+9 yHciS8I7C4nRgfq1wYwwt4wJVQJvdXKgF4657zJlQ5/gKdtEpXw+pyC2kuCMadbxFB6MajCu uVYuP6oNv5V9dATwTFE84lOkkpKeZ2z22n48fVJ0H9VdU8wU3cgVb7NiuD918cdNZy2ubgZe z9ST0Ry9ZFeToSh9vrMY8iIX1/f7Hz/A8uJi8cUMueNfRrinY3ZcW4W6tiWYnLUntbTskrR0 NJUwk3r8h74Xk1tHmmaCoNOFXMUfy4vlmBWxZXMo0jOZVJz34i4OWTTofZvXn4RfvAJtucOW BgUlK3Q1GMyaJMg8EN5md9Jxmu4zyUyq3k1y8CXNtv6GXqU4gdCH7PhP+Xmt6xLMEGBJQ7ci UPMhAIc+/PEDtklFZReFZ20QxLHRqBGOc8oqgFndaj10uFxb9cEDaRZYhYujPWN4BVTNuiUG E8+S/MGoZoSv8cxJIscoEN2TdAb6tki9ePTMlgw+rT/FxN5n6/28yyIn8GKtil0G3LjVRVlt jn16zS3nLWK2tP5242tFlW0c+WYfZuYaYe6IEjgw+mbaJZWZMDrdqt2FnrFxaAwLR8ThygTg FFuXdvgQFB+rIaYSZgmscH/TGRLubuZ8NYIWTLx+sD5NN3OYZ5NjdfhhNXfDjdnjvrt1ScFX A2kEPPX9OLbOorZgDeu0soYO4918WYQJXkUMPNuZbZi/IrAcfX58efsJCvXqXpYcDl1+0F1t lbaBxXtS3iIlC56+4YnkeTXuL//zOB4HLabeTDUeblwz5m22knyoGDmrnYxx5RfdF4SqfCxw dijkBhCcyRyzb/dKejAohxuY1/6Yd2q9As60B5pnBDbBoZLQqRQxUaZA8PTn44NKdPFq1CZZ Smgp3vNpRCzHLyhf+I4N4VoZ9N9l0Le0P5C9XmREFFv4iGIrH3FOxm6oJG5EiMkoDrNCzd+N xWyh0lWRBBxNOxqHTxLcNrX65IiGZz2tDsp0lj1IJ8H/9orrhExR9qm3DSycVn3oq6ENMnb2 vn6X05GDd5jFZzCTvtBMTYlAKHjvlCKIBKjZSyb7+Ahv1cipBEdqEoepTisaJSrEd7fKOxqq H+a0WXKdEntMxhdexKqgSY9PsvS6S3pYtqTipyiE6ZtFxIU/My4RJzoydqTgX1ITgG+pZsH8 iRLbR3iqhbmhUBVVtPeR8WuS9vF2EyQmJlXDmGbwxXPcQGZgwuC0DqmtVSaQFwQF7tqKjKnD l4mA7ZTDh6m5bEe+jTEmytI+msraffSigTzgnYrNkq0bUA2Y4AYjIjhhpQGCQJK3MZpBH2WE gymxP+Xl9ZCcyBvpqUwMI440rU3DrfUpJ/FklWrCTCESlZIuYWrrFLxAVdsNAWX1T58WrEWu qB7kE8qhtqaJwtBcJwSq87JtO8H1w4ylKi4ftLPMVGbvh2pTCJJ044YefawoNcvdBFG0SiTy 7DUjdRhQyrtUoGZ6qJitT2Li7Tam+gImw8YN1iYDp9gS9SHCC4h+R0TkB5bqAq06kgZEYZ2l YBuTExFR4erkZtXO30TUt2MMEpW9Y5JvPiXFPr0hV7LJE26Fga6HhTgwu43f9ILt0GYUc6eU uY5Dm31z44Xh/A7NdrslQze7OuhDjMDS16TjpSJ3eq59J8qd9AjiT9IVzBLeMhHlVQ4s1egV PyoIIjPdtWL/cswymz3ZsAmNKeIwwc0VUxSuVTu9SXhoMAlt3l4vBcupRsiE+6ToxGtZq0zI n4hHyVvj9SztE3vpBOEqv0iAl8T8r3frfIe9LD/vu/zj9MlqcXl1Km05Mica9fGy6VxFkqGp Xn6dQspWcWV4PbzCkKyyEXSThpX06TFrJIVwghhOOTOibi787XBao5uohBeoSJKb1yiNVCK2 mbxpeRKKKsdHyR2iPOPknVvFl/u3z1+/PP9+0748vD1+f3j++XZzeAaj/+lZPVCYy2m7fKwG h95eoO3hRtbse6LbxvVGxizyI8ZxQtkOM6hPFYS4FsGI7FTLXjaJUl5/csItNapC0aYRoGJT dY8u7BTbM82noujQQl1pW1UOmBxE0vcwxqXFuEuTncljw8TseyjEcR0CNTlMmZjsQrZsWt5X uJ70PupzzN+PARJrjZ4mtckTD/41wei9nnju2FXT0dr4Evsslen9yxf56U7YIlOiQzCbScNY sVNCDthOI+HOzTx3tkS9eCIoJJQHAxCwrGj0Egi0Ch1fl1RPxHb49izFByKMeco9O377+fSZ P6Bnfbxqb7yNBBDJAFzGFOHMj1xKZ5+QnhJziEH+4sLD8tQG/yzpvThyOBe2knnuAvQkSpXH zGbUsUyzVGcWeiXYOqR6x9HSFYFcoGZ7LTD1bp533Ohup7gYI0K/HlhgZiEjXHNv4sXjpa9L HUDOWFVxnsExfck+40mFecF6WvNZkfrGuOKa7dPKOX6E6MCzJqWQSGyxWjOJrQdmZwrjk5Ay DUekZpRzaFlTti+iDkmfo/8Lux6YPnCp6w+qD4AEtkSWyRRawDdHtV7oUWkTEHkswg2sf63y PhJearXTCEkwKFy7McQiio8s9OyDdptXbUlpIYgUWUsctRME0JBCDg7JQw4h88LQ1WeCfn+2 QM1BE3Dy7mpBywbuDI03PlEYWJHks4MT1jMaKSzl1Y+2sVZ/H/qh3kCAbSOj8Lzee+6uou7u 80+Dlk+Iz90RpBRzLvBNLz3DsESAm61ajnRkM833KQNFoq6yM9xyoM1Lq2JiknR94Ph0Mh+O ToM+iG2TGL2ItH4d9RW9Gpana/sKKzZROBD7H6sC+fmpGaRtyBx+exeDLCvLULIbAmd1R5vu ecUlZ189fn55fvj28Pnt5fnp8fPrDcffFFPSbCp/NCexB7pyrLH6TleVf71GhevJT0OCKWnx lCNAxOo36gIWR7ExVFBOWZ1sQqTdlePhi+sEgwqBAVKzvY0ppSyFUvfqC9y6RU4HP0Y3zI4C RrsAEYT2LXlKZ7NWYRyaJYvL/VU+t662l09QavOZcWubNhDBJuBTSuBkERixeFPCHct9BC92 pElOmZJBbcysY07RS+l6kU8gysoPfGOB71M/iLdWUaj0ad1HZRgOOw2Yhn4cUdCtb0C5Y4XG 2uQaaOjVXfGpqZNVVWiisesVYKlu9P1ZmLV6faOxSwcESgSKv+kED4gqAiN9zYjZbqnTQ75k 8xxsWeTGg6ZuT5jRr0fdGeavLEeXYnVFHclmp3DHVq0JwtNMsYC5a0C7tojz95yvFdjVsE3/ S4+Js5lei5U7XsIqtc55sWyRJQvFvhhy2OCbsk8OcvqemQCjkE8imJydqtxSER7t8ZO9mW61 VtDsDmIxolCqgrig0KCMw8CGUi8bJVwW+LIKJWG0a3oJoxlwC8ZwFVNQoxwSPTRbiqTALXSp JQeVRCEMRooD05hRcK5HibNC4rlk13OMS2H2SR34QUCOCsfF6rXJgrXoe1JWN26qUAULzDnw SWYLVm59h+QIUKEXuaScyAuriQQdJHLphnAcZfvJJHHkkfKkewaqGLpfZ+XHxIgtyoYKo5Bu AnVpSBIFsb0Ebne9V4J2lajg4nBDss5RofWrrUf2EkcF5PQ2zCqdxa2/0srYo+xFiWg0zXUV RqWISNNEpYm3NPtp60Iv0rg22LghjYnjYGthCHAWH1CZ6GO0fW+EwQ6lF4rZm4jEBLGFMW7r vscYN37fIRLq/yrz6H+8oaVTtZRluOmaIGH38UB6Vsskp0/4ZqylgDMsn++2n1PFf4mKtEgk GtmpcgF3CWt3edfdYfyd8gQFhk7SrHMDe7Wyxd42UaChkfB+EzukeHV9dfbIoaOMawlbHgKX Tn0vEUEJTkjuGoCKvQ25gHNUVFMoMIACN/TJGWzapSrO8+mlUJic9BSTEiNbcLZ1nWNdf317 M81ZHbexqEWr7uca2ZZM7S8R6e46kharhgguCNO0UXGWHC4K0YaWnlRPiYlh49IiUhadpMTt 2j2HcFdDT/lqTPurPqfWXet8RpE8AkmXBhSJTBASWYW764dzKsHlIllT362XyZL6rrF9fUy6 dv3zCoyI211GsjVUraXgomrq95paVdTHvIPP+Bw85UGT66OIkLrpi30h84bQtlCij6o8KxKO 6CgDefxCPPmKOTAkY3L+Ep1JlaygnJ9j5MtWC4fpNgEC1XNG/vbCqWR5jEiZU8R0SVHD4GTN BbHkpTcyZTCkgPHBQiVbwYTdZd2Zp2xheSnedx0D7r483k+mLT7urJxNjt2QVPxmS9RgZUw8 UnftzzYWMQdaj88pWCm6JMPgGUsLs86GmqLuJLzWBu5IS7RAChQzOmKq41xkeaNdDoqOaeq+ a8pSyVtx3k3iOsZ/fHl43pSPTz//uHn+gQcJ0q2tKPm8KSVZWmDqHaMEx9HMYTTVq0ZBkGRn 88xBoxEnDlVRc72iPpDzjte0v9TC7VoKOzHbI0nSEpcvtVaXp7nbsLdWRoMojJeWPf7++Hb/ 7aY/m12K/V8pizyHJAP0TNL2uIa7oeSxAsgxN4HoEMt7o0jGcyqxnIemg6nK2LUkXSKQ+FQu rxDPrSL4lifhfDcgGjnmI/rt8dvbw8vDl5v7V6gET/rx/283f9tzxM13+eO/mb2NSwsp+NPi y+fc1DnW2Y1ZLKDZTTsF5vOaPj9//45HY7x2i3zvTntPW8EXOCH7HF7lVSNnDJC+qJKybOQk GxW7siKpm2uV9Uqg4IKxvP8HtS9rh/DVsKQQ3mDWxcrDeIQ1Ohz6v1QgLmZrhEIuqvRX9Cu5 wWkyZjKSHbSweTh4sLQrx5aKOEkSdv/0+fHbt/uXP3VZKzoeuDkO4/3Pt+dfZlH79583f0sA IgBmGYrIifUFlQH1SJrTJD+/PD7DEvv5GcPj/nnz4+X588PrK+a1wAwV3x//0K7GRGn9mV8m UEuUwGdJtFHf2ZwR25hMfzji8yTcuIGxxnK4bMgIcMVaXzmXF+CU+b58jTlBA38TUNDS9xKj xvLse05SpJ6/03GnLHH9jbFBgNIbRUYFCPW3xqbRehGr2sHsIq5K7vr9FbDkQvzXxkzka8jY TKhvcSxJwimKesrdIJMvW6W1CNjYIlc9yJQR1EnOgt/EROMREarxaARFTMZTCPyuj12jtwEY hGZtAA7DlbpumeN61OnfKH1lHAK7YaRXB10bKS8xyuDBkDQ8nIxUxwkVoyufxmxsA3dDXcBJ +IAYJkBEmi+7ir94sbMx+L1stw7FLcKpM8AFbfbJuR1AbTcndjJsPW58S2KI0n2vCD8h05Eb GT2cDl4Qb5SgeE2wpVoenuay9ZmJpXv0iZpEEVNOVdK8iIzWCrCxciDYl6/4JfCWBAfyIaMC Hq0bDbX1462xuiW3cUxI6ZHFnkP04dxfUh8+fodF6b8fvj88vd1gfkZjoE5tFm4c3zWWXYGI fbMes8xlB/tVkIDq8+MFlkK8GiSrxTUvCrwjk4tfL0G4kWTdzdvPJ9iItWJRZwBZ9cToLU4g Gr3Y8B9fPz/APv308Pzz9ebrw7cfUnn6XDqyyCejsMb5EXjR1pAjwjhhPU+9lzmeoo7YWZlz A6wzeGBuGHrk/mR8LKk7iEsMrSkdMi+OHZGVjFKclM9UJbg/1cvD8OnP17fn74//7wH1eT4A sj/uQo+JK1vZXVjGgY7i4gMNVmzsbdeQ8vpjlhu5Vuw2jiMLMk+CKLR9yZGql5uErljhOOSF vUzUe47mSqZhLcftBhnpWaYSeWFIt6TCdwotrfzYu45r6fYh9Rz58lnFBcrDQCpuY8VVQwkf BmwNGxmnHiM23WxYLD/Yo2BxvQgDW2cLMbG8DS0T7lMY1/cGlhN5tro49r0RGxny6Nbk9i7c p7DtOlahiuOOhfAxbQMrHJySrSbDJB0rPDcgnUYloqLfur5linawxdnGdCh9x+32Fums3MyF ztxYeonjd9BY5WkearmS17HXB25m7l+en97gk9k25E4wr2+gD92/fLn5++v9Gyzmj28P/7j5 TSKV7F/W75x4K6nFIzDUrtgE+OxsnT8shygcK8/DERiCvvsHBXVVIE4c2SmJw+I4Y77L5wvV vs88ceL/vYHVH/bmN3wiwdrSrBtu1dKnZTf1skxjsBjnocxLHcebyNM7RYB9w34G3C/sr4wA qKAbV+83DpSvpnhVve8a9X8qYaR8SrlesFtjJIOjuyFvpqeR9FRn0UkqbC8YzJ9t6ZfuJVlY Ex9T5nDfdGLaaXkaQ8eJaVttKsALqcUQseecucNW6+dpNchch2CII8WgUevjUuegl5qMk8oY /FCvRIBpe2IRD2tXgvTqM6lnsBFqlcPUcnSGMDldIvtDLJ0czWmKULb7m79bZ5067C0oL1ZW ETkYfeJFZscLMGWSzhIt3w+PU16b2GW40RJcLO2zJL1DgnroddFX52VAzks/sElIVuyw7+W3 /GRwaoAjBJPQ1oBuKbEVTaQcDBCd7LeOq02DPDXEFSepL59qiIEBHd1z9GsVhG5c/bal60sv 9h0KaHThCEZTakXSw1gt7FPmwnaMFwBNRrDE1Y5ZitNxD7GuzrhAxPrEEZ3pWeTI8l7yskRG xmaR9Aw4qZ9f3r7eJN8fXh4/3z/9evv88nD/dNMvs+zXlO93WX+28guSis9yq/w2XeAKd0SF GwTTngqI3aWVH+j7UnnIet/Xyx+hgV7BCA+p1zkFHobPVDNwKpPP2HJJPcWBp81zAbtqFwoS 5ryh4pLnysyuAWUk3HrGOBUs+9+sfFuP1kzHeRqvLCm4DHvO8iwHVqyqE//xPjeyaKYY9kdr Lxs1olC5tZPKvnl++vbnqIz+2palWkErv2W3bJTQTNg59PmzoLbzdGR5Ot0hTq/Z3Pz2/CIU KUOV87fD3QdNCuvd0QsImKH+ALQlXXtnpCZg6Aa7MeWbg60FCay2qOIRgW/OExYfSupwcMaq Jjgvqd+BeuzbJAjWojAMNMW7GLzACc4qkJtbnqEJ4Jbga9wfm+7E/MRghaVN71myVOBneZnX uSFjqbiPXMKf/p7XgeN57j/ky2QiDeO0mDtb2yrBWuVUy2o1qYdJ5pUbr/Xwcv/jK4ZrGbn6 Mzm3IfwQj1lku4KCMsUBAOFZCwvUMD2YRHcfkvHEz1VFtXVGs7zco9+EWvNtxcYXgEz4freg iPqAuYr1175pm7I53F27nEwxjR/suYfDnGNErUogm3Peiatg2CHV6gRBmSc83z3jqSGtfYGP WF3BfM6u+6KrrI9kjL1Lu+Yg8pBX+Aa0tXNsOPyOHfFmmcKy9JjPr8Pirep4BH4D65jt1BS/ E89mgTZnsWNGElaUbkiF9kwE+PYHHhdu40FlTEEGRhJgG5tCOekq86lfLPSYlWmmCw8HQhc1 l+upzvKuO1E5Z/isSEqYFQVry+ROL+W2qfJMeyF9OpSX2JGLOx9ybTKeYSD1gk8ZqQkABspN skSnl1IdWL7r0qTDjB7HrNKmPceU54yp4L7QEyfwWcDKa5ZSsZiIbRPxtNC4N7/++Hb/5017 //TwzZAlTnpNdv31zgFNbXDCiH5qXiLGzprSSa5xACv9iV0/OQ6sC1XQBtcaTJ9gG+qNEcS7 Jr8eC4wd8KItFQqtkvZn13Evp+pal5YCM3wdxLYMCpKxu4mPxcH+6sd5WWTJ9Tbzg95Vtr6Z Yp8XQ1Ffb4HTa1F5u8Tx6NqA8A4TPe3vQPvxNlnhhYnvrHdCgS8M38I/W9+zFDuTFNs4dumr X4m6rpsSn5Zzou2nlNTCZ9oPWXEte2C2yp1ANyBnqtsjzBF27ZlDvsMoERb1YZzb0KHONsrk 62JpvPIkwxaV/S0UefTdTXh5hw64O2ZglG0t4zy+H11mW/o5TalQoNqBlf7RNopIcNgEEWnG z1ToWFyXMVjXx1IzJRaa5pwg/3zCuJZDNIo6DCNvfeQkYjDiQ6r3qqTuC3xJMNk7QXTJA5ei asqiyocrrt/w3/oEkt6QdF3BMB/i8dr0GHu4TUgqluEfmCm9F8TRNfB7RtHB3wlr6iK9ns+D 6+wdf1PbxM8SV7HaPV1ylxWwqnRVGLlby/BIRHiX/c7wdE29a67dDmZL5r9HPMkjCzM3zNYF cqHN/WNiEUqJKPQ/OAN5GWwhrxxqCDQSNQLZTpax98jiOHGu8HMTePnesfS9TJ8kf7k7mz0U +U535sVtc934l/PePVgq5w725UcQ085lA3kdalAzx4/OUXZxyGk0E2383i1za7OLHuQIZiXr o+i9ehVacmdSSOLtmaRBB7IkHTbeJrlt1yiCMEhuK5rxPkMfOJD9CzvS5udC2qJjn+PFPSwX ln4YaTZ+1efJejdw0vbgupbloe9O5d2ok0TXy8fhsL5yngsG5koz4LTfesot2EwDi2Cbg7wN besEQepFimGpqWLy57uuyOQQcUnZmTCKNreYwbuXxy+/68o2f3uRsCHTIww7hsSj/UAmjue2 0LgVA6g2Hg8VdhXsELAAlv02dC2nVgbZabApxaiGXTF0xNBzq/yQ4LtG+PZx1g4Y93nIr7s4 cM7+dX+xlFdfStmKljFg1bR97W9CY2nrkiy/tiwOleMcFbXRvgITC/4UsciIpHAO4K3jUc50 E9bzN+ZHqHWOQ275tD8WNb6UkIY+9JvreJqm1DfsWOyS0ekv9Fax699Gq9h4DSt7oQkz5trv W+Xh1xHM6jCAcYpD84M2cz0mspbLRhYPRoG1K6mHUHjiqkaYhI9iMrmcQpa1qyWEHp0WZjKU R8c4Kw2fitUxa+NgQ1684oSjDMIROMcTaYuIuQKo9eZ9nZwL6p1HYb+m7eGkVlgNzADsdyro ULneyZevODBGlZvyQ+wHUWYi0Pzw5KNWGeGraZdl1MZyTzvRVAVsFf5HKmppIunyNlGOXSYE bHtarL2EifyAvELCtaBUPRFQUM+5Z2qgoByv7Cb7rtHP3qo0y/UZkDFtQEpcDu/05WnUsvO6 5wdq14+norvVvyx24xvv006yf7n//nDz75+//YZv2uonNvsd2M5ZqbxbCzAem3cng+SGT4ds /MiNaD0WCn/2RVl2IlBNRaRNewefJwYCOvOQ78pC/YTdMbosRJBlIUIua+EcuGq6vDjU17zO ioQyEqYaleCVPQYP7cHIyLOrHA8IcHwyoiwOR5U3DEAdTwPVYvA0BdkCQTyQY/R1ev/ZyBAK XyddlYrztQWG6Yi1d7yxDW42JUWUKq805hEAql2ayxc1+LWfav0GkPEMuMsPmLSb2rgE3fjw t/Y1T3trj2tDIkzsZim1YulpP2ilaud2MqrYwSI29JvAYrcByUrOd8COKXu0GqscFeqmsjV+ 8hNVmsXw8lnz2xhXeXJ2cpnY3X/+r2+Pv399u/mPGxjxKa7RuG1AwzwtE8bGANxlGBFTbsAc 8jZeL9sHHFExWFUPeznDC4f3Zz9wPip3pggXqzu1yU5YZbdAIJgE3qZSYefDwdv4XrJRweZ7 8wgFo84Pt/uD/PDSyDsIyu1ejSpAjNicLEw2feXDBqW8pTJOXUsPLvjbPvMC7emMCSfSnBGV LiRKRogFbORdWVAf06a6Xso8o5BzvL2BSTLMQeLQjHIk6XUjcWqknFQaGvpOYu2F0Kf9vCQi 0I4sz0goRFFM+7NKfOIm19Fn2AvVlLXiHTLqBQmCzJJrSeL8HHhOVLZU5+2y0HUicsy6dEjr muzxPJN1wnfWhOl77nJPb0Cj+jnetD69Pn+DfWbUNMfYQfM+81RV3Ehkjba2dUkF6/l+j75v Ak0ucu9UNM/R5iBtTvjryg8cYS+tacT5kKhuchIuLU+9521Ihoy726ls1pxq5fKK1eZj7UdQ eoxOAqD8HfxcHkHqu7w+9EdSuoCwSy4k6nQktSssenmJV3hJ/Hj4jL4Y+IGhNSB9ssGTWUkM EJZ2p0HnmQOv+72l3qTVtjcOPIH+RW/EvBvy8ragFC1Epkc8uFUZS48F/LrTqwEVhyUFpbEL 7EnL5ojQKsHXB+6svKXc6dpW5F0LShXTy4TxOjQ1nnZbvsvxGn2vtgkzNsgJ0zns022uNf2Q V7uiyzTgvtO+PJRgBzQnpkLBCkzKrFCBUAU/E9egd7kKuCRl37R6efmFn8HrPXC464xnQxSC Ap9GsPQOKI5qNR+SnZygHUH9paiPSa23pMZX1PtGg5ep9gAcB+bGdCzzujlT6zdHNofCnCIT FH+0rbbQCAw5VRDbnapdCXZp5inCgKjDduMYwMsxz0tTcMCKKdIKxtqYdhUMWbcyCFVytwet hlJvEQ2WDBdko1h80x0fDrEXjEeLXW6fVdWp7AsudZa6616T0qbr81udE9ji8TEYkHXbMtjm fVLe1YNaWAvLh+aDIIFBI7cyPpHMG/C7lLgLW3ibKPLMWEImXFrQSYc4TZnU/PA+pdMPjDR3 rF+fi22Hl+0WJmFBFR2vwPhdis4za/McDwpubUX1eaItUwACkYaNKjd6AGpoyxPlOsRls9Lk 44AXegkr5HeeJ5AxZViVdP2H5g4rWDAyVHyiMNQX1rUBFkaW59qijMezh8oo5didWC8ey7WO yAl3/GvLKJOBr8VFUTW9Md+Hoq5sLH7Ku2Zs7vzNBLPv5p/uMtjvzSWAwUqL+UFP9pmSlK0m llM0J6GKzG8vq5rTouiw3dWu67TF7Dw1lbF7BrL25fnt+fP/J+1amhvHkfR9foViTt0R21vi U9RuzAEiKYltUqQJSpb7wlDbbJeibcsryzFd8+sXCYAUACZcNbuHCpfyS4IgnpmJRCb4hZoS D5R3s1A6DAjXNVRJ9/xJYSbbICr2XlyWjwFbMV/S8LRnV7hdlWWS4TEbRuX3gFYT5evKdZy1 YFXKU2nZ0r9+FHUJiCIgjNr7QGULFuRiw8LiALzNq6xdqDNLFLXZIKGyeBKoNaHtOta7w2Db bJjgHaftJr3r44j1fa7fPYbeGMWogSL6DG6g7mTU+NAlKxZSUUGKBXM14g9bwwepTdxAQq4y 2cZNLt6glQFwklGeyi7ds/m/Ibk5hfRWpryZeZJAuhj3Do/0tWXL7iYR+fX+4epvNLL7XWfI 6f0COlfvK4tkLOBdFs720yn0jKWKexhTZscJarJYaaE8B6Bi/5i2k1JCMXRk5gEoRd/DqTVk ZGON2DYNgjYNDJjevVL7OI4vKebWp77SUqNyv3Wd6bqStdJKhlyoTrj/pN2WbCiwx7GH2U7s QeIY42F9IMm62eaf47lY0TSPnM8LriNw/p7PPikcmkSk3tIXZ7DmQfg1MCqgY05moIufD+/v +IJMYqORmWCy0eLcAfEuMbiaYtByN2xT/K8J/9amZLJrOnns3sBje3J6ndCYZpPfPy6TRX4D S0hLk8nL4Vt/Bfbw/H6a/N5NXrvusXv8b1b5Titp3T2/8YsFL6dzNzm+/nHSay/5jEVVEM00 1SoEmrEmYWnPkYYsyai1e3jJJBy2RFv7s+fLaOKiPi8qE/s/afBq0CSpp3NbLQBF8z6pTL9u i4quS8sLSE62CcGxcpMa+qmK3oD/ra1mUj9vWSvGtmW252VLUrtdhK4e1obPJzKO2gUjOns5 PB1fnxQnZ30mJ3FkOVrgMGhRrOOtDPy42B6PkZfBp16ixje9ksXBIq9V9Xy4sKH7Mlk9f3ST /PCtOw83v/ncLAgb1o+dEtqCz7+sZK2f3482w7sYk0wl5OqVAYpWmdXh8am7fEk+Ds+/nMHo B2+enLv/+TieO7F/C5ZejJlc+MTsXuEW26OxqUPpyOzi9B1kU6IpgjQ1099YF1DKRBmmyo73 +6FckBcyJobhTrO8o9YQDyXFLc39hmAkVh8GEf9AdDkEtUjNn3qlKZbWMXY1/I0xM0iJApGs jomRqlCF6xuPbWq2OSSYhB3PUkK89nzcN0JhulszbXOdEtuAl2wQZFScSaZmJFD1jRXbYzG9 VuWRK0QRoa2SFlVqrtsCWTZJxtqzRMFdRnVXKQXLKnL7vWZAbZhqtZJVOhYHDbBVTShqzSPH 9VwbFKiRLNRhxdZZa99mFeaApTJst2ipN+k9rcimrZLxGq5xfF78TU7xb70pF+CYFeMtVcRN u3X1C8QqDCe5n7+4KOlspp5qGljkW7D99pOBuyG7guD2GoWryl08oJPCUzZZGAX42L6NyRbv 69styUHzw9eQKq6ifYBjZImvLgC0FUmSNLEsTGldk7usZjOaUpzlvliUuaXFGizNkjbNF2n9 K1vz0aLv7kbKsGy+Sr+XpkLFJmOCiaU+8GBsMbkpbHuwo7TFd1a7u4yuF+XG0rJ0a4RcUTuy wc81FZZtlcyi5XRm8UdXK4vbq9Rl2XTdGHY5XUVHrmZylavIzABgOuribmBcd0i2zda+1u+o uYzn6aps9FMBTjaVzH6DiO9nceiZGE9FPtL/Em5Jsul+sHEwZd0YVvzc7HqrTSKc2hZLpqkS 2sCFz5GGkVH2Z7carZ9oalCuL9VkE6e7bFHLhFZq1cs7UjNxxyDrF0R5b6xp2giNb5ntm209 EhwyCuZx1DMX4Hv2iLH6pL/x9tkbexMo9+yvGzh7wyi0plkM//EC3c9DxXwj+KfaQtnmpmXN zSOeXeVTGK/V12/vx4fDs5CVcfmsWisdtSkrTtzHaaZ5xsh8i4wZcEtNeF70nWYya8h6VwKo FjYQuUDdLu57o5alXBA8Pf0iAVdockuqyU8+XS9hRZiQgfpb3ldqWEj+s23iSpskAzXGUxcK fAk9O8UXBMGxBY3eUgemFnmUykig5pt5losIWy4EA23Yu52Qx6sYxkTz7a37JRahpN6eu7+6 85ekU35N6D+Pl4ev44N/USbEFa8yj39U4Gm3Af4vpZvVIhAn/PVw6SYFqFOjESsqATfH86Yo VQ9TgWx2GY/vP6BY7SwvUYdczfSSlt5ljaqwF4WeivaupuktW9HRhLkSHTvKMfZ2kZcxdr7E Q2RviZY1gLHLea0VEdf3VVOOtikRh1uE4v4B+yiUZEv7BxgTl9mfzHw5BQ8zVlv80zlHso4z /Ss4qZVumJSpFhTDq7xZFhhQLlltCFV3HB3kB3c2sJk7FojpyAVdx6NP5Dic77Nt5rOPlC6k GLlNCoJBS/irhgG6QkWWL1KyNQaAmakdxkSh+2jpXYrtVwDsthBiSS98K75eoyTrLGRzwOCM b0eduqa3Zs2KBhva10/cp5sS78TCSCY9IKQIAzz4dZEWlAmp2BvhjEUeSksKP4vgHpDqa67U 1uZHoLDwM/+4zHXNmDMsapAVNiBnre8grsVmlY69qhjreF3jz5MN2yiCORkVTO5cPByleG1c hJ4a5vNKDUxqrGcmE7R6OoUoQP7ovWnuBO7UwwP1cA7uEjo1CuREFyN6Y2LoI5zhXE1/yKlm QjhO5N7We5MVErMFuj6s0m3ujZxHHu3pD/KU0vj4G/AAiyQl0WA6qiMjBjzpnzyZNDE9vNaV bB0FgIbjbwZHVNTXvEeNvNg9ObLEtb02pMW9dWAIvU8Y+mS/DWlQ54iBKTAHV0Jix/XpNArM XlddjzlFTXerTY3EjaajUdd4gR6bSAy7ce5FY24yCd3aKU1MIJGa8aomj4O5MxoSSrpLozvY 1An+slcho56zzD1n/kmDSx53Pw52dV2Q+MHQ78/H1z9/cn7mElO9WnCcPfPxCjFSELeHyU9X P5GfjSVtAdpJMfoikdXd1mqQ0ne0chX5vk5Xo5IglbCtHAibvbhX3fBE8/O075apB2vPqL+u KfbELZbnw/tXHnW/OZ2ZMKuv6EObNufj09N4lZdn4eMtqD8kb7LC4lSjsZVso1mXmPaisTFl /Mb6qqLB1GuNZZ0ycZSJJI3ZKBJHbgVpeFxtLQiJm2yXNfcWWHey0L9J+kDw7uPtfXy7wLHK ++QiGv06YDfdRaQlgqhafxyfJj9B31wO56fuYo7WoQdqsqFw/8zacCLP2PfariKGU6mBgtu0 dRYMzSTT01sGS3OPFCAk7GwBAVO0cy/iOPdMTiFZnqeYK3vvZX348+MNGoy7s7+/dd3DV1Vt YKI2udlW+iC9OkZhT/dVS9kCzsTxEtxQaFxvFWMIh0YOPHUTw20/9SuAxKUxdJYwoRtJ0Sdu mxdksV2OHWvo/SaGq3fKUkHvOFV9rXi6LcpdKi8O2t4PbDa1SsJ9xDKKvIHNOYvXmfEBQ39v 9yOjG5jZNDvgOvH9WTQdLXySfiVkxQqC2mWZbkdcN05445lXkVxs+674HU4hATMRnVLNpaCS QY/KZsD+/vdrobLibO9g6hnuXKayYBNIwblIrxjctLMupoxWkGxwlW6y+lYHEghzhgFVvVWN +3B/rpVpsXSqPm0FhX3xZot+0y6p8LPXHbeSmc9Jn7GH8+n99Mdlsv721p1/2U2ePrr3i+au N6S2+Jy1r/iqTu8XuoOlJLUpxWRcJsOtxBXPvvEhellm/jaPtweqWMr5lMh+g2Se/3CnfvQJ G5OTVE4lnp5kLjIat59lNJN8GSU/wlbFRZz9ECc/ch+z6UyRq6ZpV4gt1TQ/idyIv2wFHPV+ xtSY94v03tDlD/Lw0D1359NLp2cUIWyZcEJXNzRLoj9FlxyjKFH86+H59AQeDY8yUipb7dn7 zZfNIjUiE/vtRlr0vU/LUd/Uw78ff3k8nruHC09Eg76zmXn6SzlBj+rTE0ViGLM633uZ2AkP b4cHxvYKOTgt7aC08MxBQ4YxYOaHah2+X66MmwIVGwLV0m+vl6/d+1FriXmkauH8t5ZmwVqG 8ELrLv88nf/kjfLtX935PybZy1v3yCsWoy3P9CctP9EPliAH7IUNYPZkd376NuFjDYZ1Fqsv SGdR4KtfxAl6ep+e2JvMhlFsK5+/vu6YrAIa0A90pUsd14xh1ieK+04xg9szMnMV6UqsqO3o zpacEY/n0/FRXdt7krEksy2WqHesVrRdVisCG692lrLJmD5GK4IpUnB1fmmGFmCUlkDkjNC/ YRus9TG4Cxp6/kzpMwnA/WV/utjgwCxB6YFnoSP8cFHbCT2k4vIKt73SgiFAi/R888L/FbHc 6O8Z/MhBi/T1uB0SqeKEjWLc5iRZahJFM8xhUeI0TKYuGb8UQrE5LkJPKxog303XjqPeTO/J NHHcaI7UXcQB+KxmnAEv0vOQmgE9cLBXjaObYCzRHIsbIxkgUopxjapHcsjt9mknbGPHFjHq yjGz5OjpOaqEFTJDT3glyx3XFUvVO7yXymA61+qVyx7oo5eMEeMOb0+23wQbONAkwle0rBaa d0qP9BcXRwXargT3eH++/ymTCC+VwOk0potkvjdk0Fkd3v/sLpqva39VWkf6p/dZ3pJ9Bq25 VCOKZGmewLu1VNvrAoz4UCfaGjI03H2XmJJUGqkulFHV5VK65fSfKkN4jCns+yo14fyajYV0 cPdXNJJx0ndB0LfPnlhXBV2NyZoU1RNZdZtyTJaBvTWZVkJ8pC0I3q09026BO6v2OFco0Kjc Q235/a71doHVge15nz5s+ABwMhPwK35bdqV63CiQGU+oSPOcQIy98f2LNdmlbZwrs4X94LHA y/JmW40ZWTunlTafZaJrUYiqOEiqNLPbVJaeSxieLdGpdD62W+HRwxS2+iaaYplWFBYaVxn2 GUwFDEQELRwKrJDj2xDftzQOw9AYIQpLnMTpTN2oDEyLaaJiPKNAG1da57bNXR5OdQlCeYgt M/B3leIOdwpnXsbrDVmhApvCVpG8UK8nqZB6WKLQdzH+QQumwER6FgYFXWZ7tvwWBXqsprb4 cONWYun+fsPmDtkm4JsGDadf05M4Q8otZunuoy1pE0HDXDsG+YMRjK342WbPWmKr1mR9x5a+ jem2IRSD59PDnxN6+jg/YB4rYM1vS+XqrqCwRXORasOD1jFvwxGxD/qqdRq/eAE++2wDaEJ/ oemQWI2GB0mWL0rl8Aninxdr7Wslqd1hBp8hF7zxUJUzsbotWNmYopsz+YVwVH1GVoZ7uCBP Zax/topJWOzhoMQdHyYcnFSHp47b/ifU9FgST4PFbtXISwEWpM0rojnpoAyDzRadn6NHWCPu ZrgZ93ufoNdTbnRmB1F41hyMdfdyunSQ+nw8FOsUrluzgadsa1caW9BSLcUsUpR4xdvL+xNS upQYrlZ6ILQbbI8VEA/9tIITQqU+BgKEcaHCloqr4FrtFKUaIt6Aa/b4uKOMJz/Rb++X7mVS vk7ir8e3n+HU4uH4B+uixDCsvTyfnhiZnmLNAbjXxBFYRDk7nw6PD6eX0YND9WImx8YFbRbo Z6HPCzvNvvqyPHfd+8OBjaDb0zm7NV4iX3G7zeK4TTcrLQjiltFoXt5pFM2K853yxfnbfxZ7 W5uMMA6m/B7UJD9eOoEuPo7PcGA3tDzSShD/f8/bCpehh3f+eOm8+NuPwzNr3HHvyOJQ/G9K 1yGxJICsO/TzEvfH5+PrX7YXYehwsPZD43RYpSGTzW5Zp7f9uil/TlYnxvh6UoeGhJhSsetj 9pabJC3IRk0ipzBVaQ1bALhga+dXKgvofJTJrvghmcIJZ/i0IqibnVYioTTbpeb3JOZAv356 m+7EKe4gTzTx9dA4/evycHrtr/SOihHMLUniVr9zIYElJUwc1qQ5iVgcjCTKxGjHD2Yz5EG4 Nu2hl1CvDExU1/1UVCjycVcVySMkQnvxVbMJHNXlRtLrJprPPDKi0yIIVE8aSe6dwZFaMiju VazPasr5wH/ZMNWpjn9ljen7mSpBsR+tCNyG0dp4gZI1t02dbi6fCgo+f+WGbgvzZTdgOwAu nSyP8JnkjNVQ/HdJ0WdGrPytFKblwOKqLPRuFPNRktESr1XrJxB+qmQeIaGeZj2mBJgnyT73 Zu6IYJ7SCKJmoFgUxFEPq9lv19V/+9PR71EZQNNetihiNvLFdUycapahIIZ/bkLcyJLJgXi2 0NoFqRNbBiyOWXILA2ZJqcIHhzRniIqKgMtIJ93saaJ0EP9pfpYgQsgW7Pn4V8gLpK1MRey5 lhtZRUFmfhCYpY1wWmF3IwAN9eifjBT5qBMmQ+ZB4EBcPWX4S6pJUHPT72M2SgKNEGqHtzQm eg5h2txEnpoRHggLoqcc+/8cqLLdeVUQCJPSaIfFJJlN506N22bg9NEMEKlAc6zR4Kw2NM5u VRd6/ts1quDOMbsPA/yZXlQ4DY1HGaXNlkwG4OkJmFyHnSppfMZSwbbF0PgdtXqFZ/pmDZQ5 vmAxwNMejaKZ9nvu6vjcnxtFzy3emCSZ+yEWuZctk9wERBL1NHNfudP9mBZFknY1x0C+4qkD ZMwIA37fejEJmcMCtqo0arrZpXlZQayPpk+VMezMwlijsq8zJnEoM2K9n6nx5LMNcfd7s6rC 69is6RVuYtef4askxywmSI7N8RVUYHjcW5DHpq4dcxzU/11AipsqEFw9/D+QvBBzDwZbaqin yyriigk7mPEEEF9PigakuWUr4efGkBMLfObDqWVIFOmm/c0ZBpKkbsh2pjlHC5HRHCZcQd+B aGx6k3GkKiJIbbIvjZ6vN0ETOvaupwkXt4syEY7bqLtRwUanUW7Dp83UyAlngPqNgJ7q0yma w1bgjut4ShdL4jSijtpGPW9Ep8GYHDo0dEODzApwApM2m6uyt6BFnm7AltQwwpZaWTT3j9cL Evc3tT6EjCR57Aeqvb25y/2pN2XD02hgsFx7crXAvdSWoWMbatKkuu8L/Xe9f3jKWqbT60mm QbqpU7YHW6Ixjx+WFpy3Z6YxjwTYyAuxwCDrIvbdQKv2tQBRwtfuhV81pd3ru6ZWkyZnU6da y4MoZQnnQPpbOUIWRRrq4i38NkVPTtPP4mIa6ctJRm5B4sEMuAWdTXUXMBon3rS18EMdsxoy cdBV5Wl7KK0omgRr91s032smabORNAVGO6+jvaSGyrGSB1f8RiXlEMJxs8oHo8H6+CirwJ1w RBJm1QKDM6jvKOhQvOgWYUWkVf+cUqjyGGO4HkjintOjIjRdrTFei2PaqDAw2a5/01KcnyYH MVFs/k7BFM26ywAvNASqwItwL7fAdzVZLPD90PitqYdBMHfhboEa9khSjTcGcw/bJgCZar5i Qej6tSk1BmEUmr9NtQeo89CqqTB4hppsOBAZJc1CXOIMRO4qnRVbjwCYTc1WsAqy3lQTVKNI y9pXlQ1cqFIo1Pdd/SJgw3awEL0AyGSqUPUwLELX036TfeDM9N+ROg6YEOPP1CNUIMxdc59m NZxGLlz5wrc8hgfBzBk/NbMp2xIOHUz1ETuZaBbFV/KT6TJ44z5+vLz0Yf9H81/YVXmSAXT6 jwoQl40gpFj3+vBt8M/8F9y5ShL6pcrz/lhCnPjxY6XD5XT+khzfL+fj7x/guqq5hAau5qL5 6XMi6NrXw3v3S87YusdJfjq9TX5i7/158sdQr3elXvrKsWS6Ab4eMER2mKzIv/uaa16ZT5tH W+qevp1P7w+nt47VxdypuY1qqu68guR4xhIniPjM5HYuc03c19Sd463AIF+/77coVo7l5uVy T6jLVBHU/FJUW2+qCo+SgG4Vq/u6bD3wasIhCN37CQzX6ky4WXl90jBjwowbXezD3eH58lUR mXrq+TKpRWiG1+NF76Nl6vuG5zonYbsTWNKnjnbVXVC0kBXo+xRQraKo4MfL8fF4+YaMoML1 HD1337qxLD9r0CFQTY8h7lRNKrhuqKsumeK33q2Spm1t62arPkazmTBlXSU3RjFN6/2Hmx8p 1je2Rlzg6udLd3j/OHcvHROrP1ijjaaRZn+VpHBMUlMqSpIu+WZOOPo9uOzrVGqGghkmTUmj mbD/fs6AGxpvin2o2TN2bRYXPpvkU5xqTDgV0SUzhrA5GvI5qp1YqID+rSqEV1dO05wWYUL3 o+kr6eii0GP/W9mTNbmN8/i+v6IrT7tVmYnPPh7yQEuypVhXKPnoflF1uj2Ja9JH9VHfzP76 BUhRIkjIyT7MpA1AvAkCJA5Ofuy+m5Iz8cSKsAvAuW09+Bho//ihHWdV1p9+d1mM9EvYVEMH ugg3eInDc06R4sYfQgHj4hw5RRlWVyRWhoJckYVcXUwnVOtaxOML9sxDBL1/DDL4+JKT2xBj C1Lwm8Q+gN/ndDcj5HzOj42tF7U5pSRro7MqJ6Ic2RcbGgIDNBpZj1edGlKlcLKNiYhLcRPu kkKhxhPS/i+VGE9YaUyWcjQnrMyodm5AiVrOaZCodAvTPgs4XREOAzg4nOMBIZYWkhcCzdh7 QFHWsCBIFSU0W0XI4Ie+SsZjNmMaImb2S0K9nk5pMkHYd5ttUk1YoTeopjMasEOBLlgHvXbA ahj3uR38TQEuHcCF/SwHgNl86kTemo8vJ5zb+DbI03ZM+1shBZtyfdhGmbpT6mvTkAtaQHo+ ZnXKG5gNGHoiRFLmoT0kb78/Ht70WwvLVtaXVxeseosIskbFenTlXLl2h5B6C8zEyk5u1gPZ l0OFINwWINOxffhnWTCdT6jBaMuS1ddKCjsx43EWzC9nU3/vtAj3gHHRQ6eqoZMZrNnhs9Uh GyrtWmQiFvBPNXcfC43vKjeJenr70GLe3WC24XNOkG9a0ebu5/GRWSTdQcfgFYGJ8XD2B/pz Pd6DZvhoxZ/GZsRSG3z2D+2klSo2vNyUtSEYONZr5NzoYTFUkLJn5wrpusE3tj12H0EUVjEt bh+/v/+Ev5+fXo/K85EZkN8hJ6rX89MbCAdH1nJgPmHZVljBxqfPyWI/n035UHoKxx6mGkOs bfCaAc4t/qVlNp66zzLIA4eIR5Rr12WKSgY7/gODwQ4UTNAbNX3LyqvxyI3EPlCy/lrr7y+H VxTOWOa3KEfno4zz6Vlk5YRK4/jbZWQK5kmMRthYCGkJtmEaA3e37cnKyjny4pKNBJwE5djR 5TBv9dz97bKzFjpgQlCmU1pGNT+33y71b9rjFka5NsCmF3QEKpSxSAhgG8rK3xpDSq7nM/v2 Li4no3Prw5tSgJR47gFo8Qbo+MN6y6KXvh/RK5VbLdX0ajpn15//Xbv2nv45PqAmiZzi/viq 3ZqZspVMOB+QotIkFFLZfjoG6f1MLzAYOPfUQSITyCW6W4/I/WIll+wFQrW/cgWy/dVQkmUs hGMnKP5MR7Z50jadT9PR3vU8/8VI/Z6PcsdRJ9WVcwmFPssDvOMXxepj7vDwjDeEA3wEb4Kv LgeeuZOsUfGFi6DYkLD9Wbq/Gp3bjjsaYms+dQYKybnzm/DyGs491uxMISZ2QEixn44v58Tb nutYt3Zsdwv4oU9YIv3vshOJvhEr6ixKmzgNwgB//4KuZtN7IL533iOfLSsM4Z8NfKTC1k1p H1RkNjt2muqYb72swPjUPlB2vUtpGQBok1FqkUp+Pbv7cXz248gCBt1WyPqEXiTstaYI0WtE h2DpxTG37K7oEvNhkADEXWj/IqjtNBTAbaPasiJ3Ma0tfvvA7GJRaEub1c7uhMbUCRPcTDPD +Pqsev/2qgy4++FoE13QOMwWsMmSMoGzMiZxnBZB1qyLXKiQ0kOOr/BxG7+0qQspiSW0jXQL t3E6pD2/bm0ykW75cKRIhcs0yfaX2Vc3ejQhy5I9jGrX34EulXvRTC7zTMXGph3qUDgqXo+U CRQfvVrVLsoyLvKoycLs/JyqsYgvgigt8C1VhhEb8wholPGLjttNW2Yh3EYb7662zRZGhW+e jMm1Ol1FVgvR2h46yIqpxP8VfgJnCPz1eXjB5Drq3HnQl+Fc2j/0PAoC3kURcWW2YY+ZU8Vb m4hJUtQHvDDV5KEsqAt7C2oWSQ4cA7Z7wDbCDZQRCuuSNN9mUeb89Hm+Bkv4n9fQeHf29nJ7 p8Qgl+sBL7VvezLtNI0v3DRCXI+CmhvW5xEo1CMiLa8qNjLoYrqxOCaUn4VdYjYh2z5c8bg6 9iHNioVWLBQWNwMta/LE3sGZ09Q8SviDa0rFoCb0OFG+hiWuA8+mpb/5h6+abCU78mpAU+gI WzMmIqN3yCSIZqMBXCaCeF9MGKwOXWDdKOu2YEa0m6jHdo1um1BiDEQtTw3EvsDCZbQaSpir 8CEfusVOQgM/TK7KJjcR1S2czgDrObxwNHyKSIvADeCNqIokE1eQReSEYgBgEdhKGkZohpHZ 968KdgR6zy8OQ9qLcHVxNSGrqAVX4xkr2iOahqhESOu/y901eX5jZdYUNNl2lbD38lWaZFSo AYA+UoJapnR7Sfg7j+xUQbBOaP5BkBgxOU4YUoGy9ygGORRO9hLzYfDqVuH6wJp7COpKpQ0Y jhgEUp1XRGnYCtTrQKdbVmjzzcdxBVzShgVvIdG+njS2W0wLaPairsmlmEGURZXAVAbcYjc0 VRRsJIlFCphpQ1l/C+IL9KhMkXytM7cPM1Kyj7JaaFc1G4wz+WURWvIE/nJD8EGp2SIA3mQx IBklMBOAoV3vwEDMBlvvCJQrcZLbO9Qqs5slBsV03kb7U/TFNNP6bRfSvy4NTAchGFbk1OeY fRwjzXOi395pCP5undab7YzCv26KWlAQ22ZEsBkTEVHkcAxEXfxU8lGLw1ghbAI2pNkJmbvf Da2j1bKaOKthUes5YajzJO3ozTKbeMtJgXBI+ULaL9zFYsDMQjEof5EojFq1XBt0VMkk/wIc M2FDiZqSgduqK7qERqgw6PSG8/jssTO/rQC0Ey8Y8E1VW4fgDWgkzuoa4hO43FyGpWE63wic Nnz0Sgx8izFF1knOLQD4HnQ8TDdCsogRMAguKzq6BJvoNal+8zVsI2faDIhhWi1isUngoM/R JSoXeFbRULonIvQmGucFD+9bL058rXYw0wsFD2prTjCz9bKirF7D6IRCO5zFGfCZt9oYsvbH BYxGKq4HYMAGwkTC4m7gn9MEIt0JUDmWRUqiAVikqFvtWUwWQc+L8trIW8Ht3Y+DJWItK3PM WAtEgRQXGFiWLUUMfLdYScFdcxkab5FocLHAjd2kJFG6QuGarziYF6e2x3QNsSW8tqu62+Ef ssg+hdtQST2M0JNUxdX5+Yhne5twaZaBKZwvUL8YFdWnpag/RXv8f147VXYruSZLI6vgOwLZ uiT428TbDUDmLzFA82x6weGTAqN8VVH9+cPx9enycn71x/gDR7ipl5c2s3Ir1RCm2Pe3vy67 EvPa2ToKYGas19ERKne8iHpq2PRFyOvh/f7p7C9uOJV0YzdAAfDGz973CojDhqnrE+JEpyOt xEkayshiputI5nax5tqhE+Hxn/4YNXcqfkttcb7SMc2hrDrK2MM6tYcyrcz4c5OJaLMampn9 4EUwF8MYak1BcJesyZRDMhko+NJ2yXUwF8NVDpjZOkTcy4JDMjlRB/cm4pDMhhp/Ptgt29PV wVwNYK6m54PNvPr16F9Nh3t5NeM902nLLngHZCQCpoiLrbn8dTHjya/bCjRjOgoqmD0FmTrH PHjCg6fuIBgE94Jo4+d8eec8+IIHXw3VPuaDfhCSX7Vw7DRxXSSXjXRrVNDNQFGZCBo4ruwM bQYcRJg1i4PndbSxzQQ6jCxA4xK52wKFu5ZJmrIvRoZkJaKU3qx2GBkNpKs3FEmAiU05E7eO It8ktd9m1fmE6z+Ip2sSvhMR7ZnYm9blCS5i9tgityja4exw9/6CL8ZeNgtMNm0fLdco5X3d YJZTR9svI1mBUAOTgGQS5H87d6fcACo0xfVahZbrWww7koBowhgUjkgKVAB4KqOsYaqFSj2g 1TIJ+OhqhnY5ICuCnoMSvb7LZm/NoSGBkvgxM2QcpaV9JcaiMUNL/PnDp9dvx8dP76+Hl4en +8MfPw4/nw8v3bloRJa+M7Y/VVplnz+gj839038eP/57+3D78efT7f3z8fHj6+1fB2jg8f7j 8fHt8B2n8uO3578+6NldH14eDz/Pfty+3B+UYUU/y/pG8/Dw9PLv2fHxiBbYx/+9pZ4+QdDE olLKRrMVEhZsUpuEM5ZYwVHdRJIE7lFAGB9QIHNQRjn7nJ5CpKlVDVcGUmAVA4pZgll9kKgI rDQ/Q5ViFCbYzjQhUH/5yo+RQQ8PceeQ6W6x7g6lkFqnthU7lUSGBhnRsCzKgvLahe6JQ7AC lV9diBRJeA47IyisMMM69Wena738+/z2dHb39HI4e3o508vTWgmKGPVzQWP3WuCJD49EyAJ9 0modJGVM4+EShP9JTFKyWECfVJLMIh2MJezEV6/hgy0RQ41fl6VPvS5LvwS8GPJJ4SAQK6bc Fj74AebrUtEjTW4gSrVajieX2Sb1EPkm5YF+TeofZnY3dRzRhEctxg15qbWk928/j3d//H34 9+xOrcDvL7fPP/71Fp6shFdV6M9+ZL/gdDBF6DYnCmRY8SYJZuVlnC2Y6f5GbqPJfD6+MjtI vL/9QLPJu9u3w/1Z9Kj6g6as/zm+/TgTr69Pd0eFCm/fbm1t3pQYcFcTZsaCzJ+BGI5hMRmV RXrduhi4ZYpolVRj1n/CdDL6mmzZ4YkFMMetN2ML5euJZ9irN0vBgpv4YMk92Rlk7a/ugFmy kR1krYWlcufBiqVPV+p2UeCe5swyezO63knW/sFshtgabmewQxDa6o0/UXjfuzXLJMasfwPD lwm/nTEH3HM92mpKYwh8eH3za5DBdOJ/qcDMaOz3sZPJ1qVYpGIdTU7Mrybw5xOqrMejMFn6 zInl6ycWeRZyWkmHZD9JYHkrKyE2zFHLc7KQuA6aHRPb2TB64GR+zoHnY+awi8WUaVWV8RqY QdcgpCzY3Aktxa7UtWnucnz+QV6oO57ALXyAOnFG3XksdjR1gIPoQ/h4+19g/PqEu+zuKFCp cEIAWThuChE+EGu+PR5Y+6oWuVT/DrJUbnIiWYKGc4KTZjOvvHpXsIPWwvs+6xl7enhGg2oq g5veLFNhJyE1PPCm8GCXM24zpzcntonzitRC20ckbTd8+3j/9HCWvz98O7wYX/8jDVBi1lJe JU1QSvYdyPRHLlTwqI1XqcK0XM+bU4Xjs2vbJNypgggP+CVBLSNC+01btraESfMKbUvJP4/f Xm5BJ3h5en87PjKcHD1SReRzPeWpqjmisc7kZqqnGu6nkEGskzoguV64bH0a9YvqNNGJ9YE0 nchjFXaKjEUbRg4iXXITfb46RXK6zYbsFBPo+9bLSad72XFyt6h4x3wI+lWWRXjhoG4rMNsH Ub4Mstws0pam2iwGyeoy42n289FVE0R4PZEEaO6ibV3sZpbroLpsSplsEY+lDNrDmGq6Qqwi Lkw2zYEqLpQgj5/zNyzJKsckOpF+D8ZHVtXihLFlDtDx+y8lML+qpNGvx++P2or+7sfh7m/Q pi3TR/X+YF8nSeKV4eMrzAdKsdG+lsIeR+97j0Llk/w8G12dk2ukIg+FvHabww+JLhl2NOY4 rmqe2LzV/caYmCYvkhzbAFOe18vPnev7EG/StwD27YCBNAtQ2YDlSis8NT61Cwkk+YoKDGgd zz/xLxKQUDBtpZ0sqrVBB+ElD8rrZimVCbO96mySNMoNtt9/hQxZOQ06nkWgnmYLkjRVXxba 5vadIXyQuIZgio3iy3mQlfsgXikLBhktKQMIQDuDk4LlHMGYyH2wiT25NmiSetMQcSMgnvn4 s8sL4cGBc0SL60unST2GfxNpSYTcwSo+QQGzxvfrnMgzAf1lZzdPFr5eEVjvtFqNsCcoD4uM 7TGILp2NDIWipaoLv0GGDeczlYwU1JOXQFBiSkYoVzLIQyw1SEk8nG8fyE8MuQJz9PubJrSz RenfzZ7m9muhylbftVCnJIk459dGixeS9yXq0XUMu4sz/9IUmO7Rb+8i+OLB6DT3nW9WN0nJ IhaAmLCY9MaOrG4h9jcD9JaMbHiBuhwW5FVdGb5uRdqgomWfz1URJMBUtpiNRdrZsfHeGxhK lFEQifwOP9BmqgfkERwYCAVGpJ4M7Lq0VKeKaHYSnRWhGwsSLD5UoZuDVEhExhF1yelKqKJ6 U/q1d/ga2HtY7HKfBAF5kZuyMaZ1SbEy0qDeTgqAQcZfpyFOlMkJ00gzGN0xxD29rFI9Z9ZU psWC/mI4SjffKlk84WnpTVMLYvmYyK8oVnI2vlmZkOgz8GMZWvWg3wiaysMpZvtUoE9NkTrD nxeIUDdsFikwYjLQ+I6Vr+wuWZ6yziHv9lazQOVkklRq3Ha9V133ZGFELAV9fjk+vv2tPUcf Dq/f/RdBJWisVeYpIhBocCAGchEG2pkEE96lIB6k3QX7xSDF100S1Z9n3di3EqlXwsyyJsVE 8G1TwigVnMV0eJ0LWASucRYBO28vIJsvChTdIymByslTgvTwH8g8i6Lin1wHh7VT+Y8/D3+8 HR9aAe9Vkd5p+Is1CU61qJZypmwSGqktc8ejiTU+uJpK4GXojJTxz58yEqHOOVVxV9FxhH6U aMAHTMt+J9ANqrTxK1oMZaIOrPPexajmoYXxtT+ay0J5EW3yoDUITTBCCXvDqLbSTgCD0p0u C8XAbRs0G+62V9e0i8RaJbwIyo29w357Yv7LTibW7qzw8O39u0rLnDy+vr28Y0gr21VErBJl 7iUtWdwCdg+RUa4Sjo3+GXNU2imVL6F1WK3wwR6z63z44HS+8oajZRONnlp3Wir1pKQIMvQE 4fk4LWngoVddWqjJW69Ci6P6v0w3gs4drbcNQLR63WJqUMg1KS1ccKPaF4cfRNcq1TVXIKDh zzrJN3DmilpUeGEUJ8HnkWV4sagE98YMSrPI4f/FtlnIYh2R1+XfWjl0ptDKL2LmCE31PB27 fb3uyrW4OXJUUHcxLDO9t9XFIV4duOxUq69BehgwfVZo2HhVkQ+pxX0twHiWJ0h2fAoEjdS2 udwiUMusHTE4B1PY6H4nDeZEDdrgYIMHEK/eBzHIc5oqysNB3xZd2jbzG7HN1NsNGtWcaAdQ Sd7rucOXK1B6Vtxg9HKlpk1kvREeCx8A6yRJylbCRa1RbENB2vsoTlaxIxh3215UwrcfUVDm ZlFjd4XEWwfgKUCV1MkNRu8PW/XJtdXoV7s3mTG6/bubRNGfFU/Prx/PMHjs+7Nm9vHt43db /oGaA7QWKYi4TMDokLaJPo8pEkWmYlPb3KIqljXeNaCM3ibJYBcNopoYXbuB66ztUdbcrEN1 lYwno+5GBoQizISSWWSqRX05gyRuT3ZfMX94EIfFyh7y02Onbczg/Lx/x0OTYUN6+zgSmQZS /y8FU3b+dvVc2e6k48Cso6j8BScCpS8rfRMF7JTFl//79fn4iG/g0N+H97fDPwf44/B29+ef f/5P3yvlKaPKXSkZvss92snMxbbzlqHCNCKk2OkicjjhhpqtCHBABpmNBN1tU0f7yDvtTRpa b6vz5Ludxqgcj8qezSGQuyrKvM9UCx2lDWFhVPpcsEUMdkYrcNCCaOhrHGlUNI3GxDFC1STY a+jp41xK9J20Na5u9S3JZ6ys//9ZKqZW5S+Piqdi3X7HDIa3RgzWjr+9Eq3ROm6TV1EUwi7S t23M0aePzgFm+LeWR+5v327PUBC5wytoRg3BC+3BKSupy0y79FYuRHlJJVpy7/U5PNzzJgRh C1UyjG3nuaETFjTQYrfBgYRRAUlOpH6MCBlsWElJ70mayrkDDg2Bs8h6LQs+UelGmHVkkQwt NosExCarJOt+FXCgzjRKTeuOhcnYqUDyuTIRF331PJhUs5VlbbNSSxaUpqQIbV5Mh88T4762 KpdUytbgotFehiCY4gWG1Su8zs2D67qwrkhyFcgQWmNpd0rO6BRIFmsUfjdYBYNsdkkd48VO 5dag0Znyi1e2lTJ0SNChR80AUiot1C0kaD/UpfRI3WqMNdU4TdS1BpR3q3siN/2jyrmo6Mk7 GaoxOLgVdAxkMXd82lMQL8LYZnvlmRsnt6CW0D/6ukEnVze4Ss03vG02nVFeFFdC+AkC6BbI XctTJO0AnKxGSSc+gZnZHSzVfjz6Hui5a1cFx9Dbaa9yUVZxQbiGgzJXFjCNrLWarmoBvB/m GFjVEiN+EEGD4KIhXd2gRQ5MWuBLp/7OeRI0VLDYDZ4dubbSE2O7SNcqTIhKH+owqF7TVmnv 9QrnxtFsYU1gX+blsJk7KB3cdsNoL+6hIVXbgTyX9jy134QnL7JNZSJVd944cNwqqYXE+/sh 9m9VZpMONagLk6H2mUr8OOBN0Q8Rbu3hM6oSmIhkoBB9TugLaO+UvX15IKds95kK/FSHm6w0 yeqZnm/ynY7O5F7uWQ4wLcXQ85Y+Z1y3bSrWMPcr1TRoNjDUAzlZCc1AdlZCwweh7Ggms/Ho d+rr6H5RZ0fHhsnVsmYQhUHA9DzKkrgY1kTMmKnim0vHu26ADEPccnFq2tlBkiXeIuKBJQvv fgGKSfIg3YTR5w/3uJo+He8O93d3f1bOVSecG95Daw9zC3l/vGut8P780RUUCZm2dhZr+ySF AjCeMgNC84l1hQHFmgr/sseUEnU0TZ2xxqgdtSYqkw1fmEJH9WI75nwbLTodqCuqs+meazme Kp4vtIWunfjbrfBHd7X9zlQfXt9QHcJbgQCzxt9+P9jbfr3JWRMEoxbg00sh+/AadruKpZKg hul5WeKX8Tq6+7I19ZnRl1EVnGLFtuXkpaXcttR915BM3zcrOwAh8UaUvbJGSnxZkZsMeS95 YNFIEMmEjIQ2SBr9g0Hyu4seCeKjkqD0fYFjWZmuQztwnDLgUpZIlZbM+oMQMVmS41sPK1ZE /UfmwDY6qFKbXU1kgU/p/smEL+BVkRZZ4Z8wRlSzH+OdYs1bLvPcazs8UYxqexzt8XxxoO1L q/bXq3xkRRyvtP0bgOti7w2eNsZiV53C60feoaHdbGhAQgXcK6OD4SIxggZyymEKifY3Na7C oYqpgY4CgbxgCe1womLbedFH0S8Tme0Em/pRj6MJb0A/23iPtRRPbqaHykbfOJC5/XlVtmoJ s8bhROO5ju4Lrjl8mrBjXkSZ+wx/ksF5DoL6tf3/ADVm35xx1AEA --/9DWx/yDrRhgMJTb Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ linux-arm-kernel mailing list linux-arm-kernel@lists.infradead.org http://lists.infradead.org/mailman/listinfo/linux-arm-kernel --/9DWx/yDrRhgMJTb-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7858541694253768405==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH v4 17/19] coresight: core: Add support for dedicated percpu sinks Date: Fri, 26 Feb 2021 14:34:18 +0800 Message-ID: <202102261412.zCSQLdKB-lkp@intel.com> In-Reply-To: <20210225193543.2920532-18-suzuki.poulose@arm.com> List-Id: --===============7858541694253768405== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Suzuki, Thank you for the patch! Yet something to improve: [auto build test ERROR on linus/master] [also build test ERROR on next-20210226] [cannot apply to kvmarm/next arm64/for-next/core tip/perf/core v5.11] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Suzuki-K-Poulose/arm64-cor= esight-Add-support-for-ETE-and-TRBE/20210226-035447 base: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git = 6fbd6cf85a3be127454a1ad58525a3adcf8612ab config: arm-randconfig-r024-20210225 (attached as .config) compiler: clang version 13.0.0 (https://github.com/llvm/llvm-project a921aa= f789912d981cbb2036bdc91ad7289e1523) 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 arm cross compiling tool for clang build # apt-get install binutils-arm-linux-gnueabi # https://github.com/0day-ci/linux/commit/c37564326cdf11e0839eae06c= 1bfead47d3e5775 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Suzuki-K-Poulose/arm64-coresight-A= dd-support-for-ETE-and-TRBE/20210226-035447 git checkout c37564326cdf11e0839eae06c1bfead47d3e5775 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dclang make.cross ARCH= =3Darm = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): >> drivers/hwtracing/coresight/coresight-core.c:800:6: error: implicit decl= aration of function 'coresight_is_percpu_source' [-Werror,-Wimplicit-functi= on-declaration] if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sin= k(sink) && ^ >> drivers/hwtracing/coresight/coresight-core.c:800:43: error: implicit dec= laration of function 'coresight_is_percpu_sink' [-Werror,-Wimplicit-functio= n-declaration] if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sin= k(sink) && ^ drivers/hwtracing/coresight/coresight-core.c:1024:7: error: implicit dec= laration of function 'coresight_is_percpu_source' [-Werror,-Wimplicit-funct= ion-declaration] if (coresight_is_percpu_source(csdev)) ^ 3 errors generated. vim +/coresight_is_percpu_source +800 drivers/hwtracing/coresight/coresight= -core.c 775 = 776 /** 777 * _coresight_build_path - recursively build a path from a @csdev to= a sink. 778 * @csdev: The device to start from. 779 * @sink: The final sink we want in this path. 780 * @path: The list to add devices to. 781 * 782 * The tree of Coresight device is traversed until an activated sink= is 783 * found. From there the sink is added to the list along with all t= he 784 * devices that led to that point - the end result is a list from so= urce 785 * to sink. In that list the source is the first device and the sink= the 786 * last one. 787 */ 788 static int _coresight_build_path(struct coresight_device *csdev, 789 struct coresight_device *sink, 790 struct list_head *path) 791 { 792 int i, ret; 793 bool found =3D false; 794 struct coresight_node *node; 795 = 796 /* An activated sink has been found. Enqueue the element */ 797 if (csdev =3D=3D sink) 798 goto out; 799 = > 800 if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sink(s= ink) && 801 sink =3D=3D per_cpu(csdev_sink, source_ops(csdev)->cpu_id(csdev= ))) { 802 if (_coresight_build_path(sink, sink, path) =3D=3D 0) { 803 found =3D true; 804 goto out; 805 } 806 } 807 = 808 /* Not a sink - recursively explore each port found on this element= */ 809 for (i =3D 0; i < csdev->pdata->nr_outport; i++) { 810 struct coresight_device *child_dev; 811 = 812 child_dev =3D csdev->pdata->conns[i].child_dev; 813 if (child_dev && 814 _coresight_build_path(child_dev, sink, path) =3D=3D 0) { 815 found =3D true; 816 break; 817 } 818 } 819 = 820 if (!found) 821 return -ENODEV; 822 = 823 out: 824 /* 825 * A path from this element to a sink has been found. The elements 826 * leading to the sink are already enqueued, all that is left to do 827 * is tell the PM runtime core we need this element and add a node 828 * for it. 829 */ 830 ret =3D coresight_grab_device(csdev); 831 if (ret) 832 return ret; 833 = 834 node =3D kzalloc(sizeof(struct coresight_node), GFP_KERNEL); 835 if (!node) 836 return -ENOMEM; 837 = 838 node->csdev =3D csdev; 839 list_add(&node->link, path); 840 = 841 return 0; 842 } 843 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============7858541694253768405== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICPdqOGAAAy5jb25maWcAlFxbc9u4kn4/v0I1U7V1zkMmutiOvVt+AElQQkQSDAHq4heWIisZ 7diSj2TnTP79dgO8ACDkmZ2qmYy6QVwaje6vG438+o9fB+Tt9fi8ed1vN09PPwffd4fdafO6exx8 2z/t/mcQ8UHG5YBGTP4GjZP94e3Pj5vT8+D6t9Hot+Fgvjsddk+D8Hj4tv/+Bl/uj4d//PqPkGcx m1ZhWC1oIRjPKklX8v6X7dPm8H3wY3c6Q7vBaPLbEPr45/f9639//Aj/fd6fTsfTx6enH8/Vy+n4 v7vt6+Dr7e3d7tvVeHT1dXvzuL29vR1+e3y8+rp53A4ft493m8no7tOn68m/fmlGnXbD3g+NqTBR hQnJpvc/WyL+bNuOJkP4p+ElUb8ToEEnSRJ1XSRGO7sDGHFGREVEWk255MaoNqPipcxL6eWzLGEZ 7Vis+FIteTHvKEHJkkiylFaSBAmtBC+wK9iDXwdTtZlPg/Pu9e2l25Wg4HOaVbApIs2NvjMmK5ot KlLAsljK5P1kDL00s+JpzmAASYUc7M+Dw/EVO27lwEOSNIL45ZfuO5NRkVJyz8dqEZUgicRPa+KM LGg1p0VGk2r6wIyZmpzkISV+zurh0hf8EuOqY9gDt6sxRjXX4fJXD+9xYQbvs688MopoTMpEqm0y pNSQZ1zIjKT0/pd/Ho6H3b+MHRBLkns6FGuxYHnYLbkm4J+hTMxVL4kMZ9WXkpbUO/Gw4EJUKU15 sa6IlCSceQYsBU1Y0CgnqPLg/Pb1/PP8unvulHNKM1qwUGl6XvDAUH6TJWZ8eZlTJXRBE3OXiwh4 AkRRFVTQLPJ/G85MNUNKxFPCMpsmWOprVM0YLUgRztbmwFkEZ6ZuAG3tD2NehDSq5KygJGLKMrUy NecV0aCcxsKW/e7wODh+c+ToW1UK+sHqqRT9hYdwQucgr0yKZm/k/hlMtG97JAvnYDkoSNmwWLOH Koe+eMRCcwkZRw6DYb1ao9gePZmx6Qy3qUKzVgjVY73Y3sS63vKC0jSX0GvmH65psOBJmUlSrD1D 1226lTUfhRy+6ZHR1tUiC/Pyo9yc/xi8whQHG5ju+XXzeh5sttvj2+F1f/juCBE+qEio+nV2fsEK 6bBxszzTxd1Vtt/fUS6YV2X+xlzVmoqwHAiPDsDiK+D1pWQR4UdFV6AXhtyE1UJ15JCImAv1aa2e HlaPVEbUR5cFCWl/TkKSJEF3lvLM5mQUDqOg0zBImJA2LyYZ+Gn0iD0iWBsS3xuuElkB57aftLgZ DwPcYs+eOnOv0DRUaWCeAntfup7ZXP+PT1PmM+hHn6bWMaPjjcFgsljejz51m8kyOQdvHFO3zcS1 HSKcgciUBWkOgtj+vnt8e9qdBt92m9e30+6syPXUPdwW9kwLXubCVGDwKKFvNUEyr5sbqEn91jPq qDFhReXlhLGoArCJSxbJmTkoHD7jA7+/0w1yFon3+EVkowSbG4P2PyiD7H4X0QULL3ha3QJUB468 X7+aydEivjx4kMc90SkvY5xVHs5bFpEGygK5hPOcg5qgmZa8MJy01gjEec3+dDhkLUDmEQVrERJp i7aRPU2I4T5xn0EYCvMUxt6p3ySF3gQvwYUaeKiIHLAIhAAIY4tio0YgmGBR8bmlEpELykzWg5C+ tYAFQL+B/29hew5+I2UPFL2/2iVepCQLqaUITjMB/+MD3VHFixw8OyC0wjBmLYIzUW7JotGNIVtT A1o73R09BA2A2AofcpxSmYKZUuOAMe1vcs3wfBtrHGL4Di7YqnP1lhFyf1dZyszQx/J2AREgrNI/ agnxp2EV8CccX0MAOU8MgQk2zUgSGyqnJqgI7YAKM8V+CyFmYLs8EyHMUizGqxJW5rNxJFowWFAt SdcsBqQomHdz5th6nRqybCgVMZfYUpXc8OBJtqCWfvj2F8lwgBNO/AtHlVERSew7EwiPVXDbLQEG yQCEWkZkHqaW5SgE/eLpDfqgUWQadaXoeKaqFtA2CoREmFy1SGFF3MAVeTgaXjXeq85n5LvTt+Pp eXPY7gb0x+4A4IiAAwsRHgEA7bCQPVY7YWVKe2N6wdjfHLEZcJHq4TQibeBxYzYgRicSAvy5XykT ElxglIHvnCc8sM42fA87V0xpE3b6PpqVcQwxT06gmVo2AQ9h2SZJU+VRMHHCYgYNNJA2oDqPWeI/ FwoZKedjRQZ2rqPTt9QauRJlnvNCwlnIQZBg5JqxLQUqeIgutiNDqMI4flilxPAtACXDuYZqdccm vArn4Ov6DN0eoHuckKno82Mwh5QUyRp+4znpR2yzJYUQSfYZcFhZUIBvhf2xHKk6d+3aSxVYC5Od wn5hjJ/PQEgYgBhrR1ScQkiP1mrWH9QCDflUp6FUAC4AFGtMqJDqQP582XVHJ01LZ4IpCLcqMnDY DGaZQtx9+x6frO5HN53S6CbotnLYVfSqXl1XzWh+N1mtLvNj8N1BwaKpH4WpNqAQk/E7fbBVfvXe GBFfvNN7vvInmBSzyMPLTEFGo+HwkvEVk3AM0zJPm6JzkO3IFxGDLI2P9HZuns9vh++DmjwQx/AM AcnLy/EEk6nbGDwjIQxRreKMhgYmaoljH/HGsnAN+WroB78tf/wX/InPdulJVyKNunhGT3cQHDen Rx3LNAqMZ4KkSZVe3w3901GiBQfrR+raG47uLqxF9Z9NfFupWFzy1IIFSPwi1Wwv7T4szBa++kiG EixfmtrRiGItClAmqz9DKuNOKuY3ny0g0ZJ0ag5hMaIHMxWlmuguJy5Vz3jsJ0/68xUyFReme3Np E+vebi5Juv68iqTpct49Bvb5IakoVW7GOj/h8fn5eBgcX/DW5NycnOAIM+hojWrqLipwm1PDcsPY 1TQHwyxy8Cr3Q8NZA4dEoV/LVVRVikClje3ekLOMPMSMmGnTZj7IyZep1VydIYuop9hKoSdCRxJK DvnpuN2dz8eT4zdUZqxI78ZDaZsLRbxxiHJWpgE4xhzdks2ajH9cyR7p2uk0AKdPF27DmnwtP9v0 XDESOiXh2uaEoEiABK+W0ktnC5fO8zU2D5z1JIGiMqd1PrruU2wfi1REozob3SZ7OznHXcLGAAZK gq4NZnraERMo14umNvp/NVsWTFI5K3g5nV1sq5tCG8ABAGOYLy+qIMscQ5FqRpPciiwvkHGlyaju Xae7rg09NQCMPqRvmIVuPF7bziSb8URspsJaJC/yhMlq4kO5HRMTAVZ2uOaMp14RNeyRr1eFyXkc Cyrvh38GQ/2P5SGyQh3W++tRm+mcPSAmhTDLsC5A84MMYIyHQ3PCSLn2ezhgTS54TmBdX2a5Pqnl 3I+79ehU1KzAdLux0ZSYh4fDrzpuMqIAgNcaeXeDAimXl1VYLJtbnpz4VFIJd0kgcFO4mSTVrJxS OM0G8MfbIIS11QPPKC/QRY5GbQcJm2YpRn4QQBgxCCYCqRDVksmZSpjmayuUIgVBPO+/EqmZ7iXC e4Fqq8rvOCu0MtxILzlOq0sBqhmkEEcVZWjI/0Hlzgqe6rKB4Z/DPicQwmTg+SV5TrMIeo2kZbAU D6aA9HqvfZnRNFKX7ebl9Yrl9a3shQvbFfUj8bAgAiB+mfpuXjE7Wj1gyiWKLMRFY/+FjSXl5rpp kB//szsN0s1h8333vDu00Bt58Wn377fdYftzcN5unvTtk6WvcWGnVMzLIc/Xbcfs8Wnn9tW/4TP6 0h+YlN68VX/x03GDV0+Dl+P+8DrYPb89NdUkik9eB0+7zRnkcNh13MHzG5C+7mDcp932dfdozi3O aZUt4b++jCDwYgDm8Gend4s4N9HJxSlpv6mW8dwuwzgGHQgrBaqk//B584P+tEQdv6vOMGMqmIVm dCDBAtBU9aHZpF3Nxflq8e9Pz//ZnHaD6LT/oVNc1vkRYcowMSJ5yH0ZVt0m79q4B1Az+RKcrzaU XqHErEiXpKBoyVJv2cKU82lC24bmMDULc4nKTEgXdOjL7d3302bwrVnvo1qv6cQvNGi1wpWUKYKw WOdWrY/6DYCCjOpklGEiGtb4+gaZPpvUtgF/fKGDICFzOhbv90CosJNhNT2cAeAh4yFAJjsFV/Nz nqxHk+H1hd6JwDMDoKMQcKIAVPZqjzan7e/7Vzia4DM+PO5eQIj2WWlOCpVVbCUzP4PxrBISUL+6 gcajm8HSIXBZ4A6WpFci5Oa5NLWg0ssAoOWlW5cOiqJGV3m8GedzhxmlBK99JJuWvDT6au9MYVlo Meuyj34DxcT7CBSKecXZZs8BKUgWr5vbr36DOaW5e2nWMlHUulbHuyw1q9olV8sZQHL7Nly1mowD AJkAJSvpdFLQKahaFunkaFWjE5K7MsScvi9xj9/76Aq26z7Rrfqm3mmMM1uFu7C0CeAGpuPrMjVP F4KGCBCMcNYlqLZqHmjpaGgnt/8WHYXLzTrEBE4a1q04o6AWAf5RmjZn5geKfaFOxGnlrxExW6Q8 qhef0xDz8UauhUdlAqYDTxpNcHNc0aJCKQ5sOcf7Sp9UrcSt04CuQJHco+D56ra/o03tm+R5xJeZ /iAha25VUyYg2CoACYK7iIzROZYcsmntVSc9Bgnda4n6ekXrPsrUZ29zrO4AJAdyZIjW41g46+Kq cAgigLrer1iufKdUgi2QdpsOV7jM9+7a6sZ6Ly+MpvL+oIWRuhc3izfn5n2TeDeyuXQd3SlCHmfV AiKZqHUTIV98+Lo57x4Hf+j44uV0/LZ3ESs28wBxdxWqmb48olVzcdlcEL0zkjVRLB/Ok3KqUyS9 C6a/cGhNV3hVhLfMpjdRN60C7wLvR0YGUp8xX+6xPn2qTioBT2M6g6Auuml/zis46erCTemmzRKh YHB6v5TUNOVdHQ2oBdgoh4W5vUBMvURdyenQGdiracGkt4SjZlXSTD83bIx4oz4Zk0FSJpbN6vNA NktnUTqW0/a+sHnLwC8BxgF10yxcX+CGOlXa3YTrvqr0ixfJ6mniNXDs21u1KRCq8pwk9oC65ruC mSAEs/yUlw1hTJKgfWsTepvT614FR5ivspA8yEMy9RGJFlh04rukT0XERde0Gx7CU4vchRbOiOZ8 0y/KUam6B134y7sqMPPm4AvIWKdsIvAFdd17d0o69nwd2JUPRjmFbhHE/tjWHroDsdnIyKdktYQF ICj4ZR8z+yKVSHB5YQWRiMekgkOvOECNhOQ5KikG+wiFdKa+y/q0ZWBKOvTP3fbtdfP1aadeYAxU UcCrIaeAZXEq0ecaetHSqjjKTQcOJLu0om4qwoLlLqjDWdf8OLGMwV8Q8cnAIsfHA7l6ViCJZZqM hjyxSmhq1gPyfIeknuwMAr3IP3zKhFVzjKt10y7t/l8SrpJ8uns+nn4aeYl+kIIzsG7k1ZoyHql4 1a4NUBJFHK5qXWwtqivlmeBuoK+Tt7lUjhewhLi/U/84IERBkwspvSlicNRPf/1EyqaFM6iOVqqm LqbbHXD5oQ/kzIUhgwaFKfSVskwp+v3V8O6maaHS8QDiFTia2zFsQsEMYdLdm5GzwAj81BbVn3Fr uF5zi1xQIiLu2zrXh5zbWYqHoPRnah4mMeitnyX6pT1OOKdqOcA0FVTrR2etoqZMpgH4vpQ9LVR6 GZyzFR1PwSddeIozVzAYn92YNvqyenedZtTXn4bpWPj1mbXxfbT7sd+a2aJW7dOKpIFRXZmHITHj 0DxMQ2ZtrKZUeCtchax/e5uHH7ab0+Pg62n/+H3XXpQqRLbf1nMY8F4WWgNXfdVjGHiTjGUvM+s5 zUKmeWwlqzUF0Jh+AmCAcIh5SPLOewM1UJvSUq+ceotr00lPx82jSkQ1tmVZuffkLUmpTYSl2Yap X4EadXmxbk3dV8bVl7kQb4MWVviSp+0HaI3Qq1lpU2dFzVd1zLZobbSVIoRTtLS43jdQiKeigi3s BdR0uii8OFqz8bTU34KBTPnC87RIRdMlxJP2y6OCTi3brn9XbBz2aCJhaWCmfRq6mQCpactRj5Sm jPfHMd8NNbSJZ+ycVWSRmrYZzF7tPUFXYkdqwIwBR2r748/gXzhj7R3oozIDJjwpwlTIoJoyEYAx sO5hUr6S1H8TtaArpUd1wbTPb81YZQm2JrRl69YlbDMvw2BmwhtjyTYW7VDsy+Z0tsGpxBTJJ4V+ zSkA2Qg1bAuNTB5rur++BzuNRb+FwYedU6lsz8ANK2KFyiqt65Dww+hiBwBn64pMM9jqN8NkDM+S tR/jN9JRQivPeJdzREitK1blaXM415czyeZnT4wQE8BB7UlKzf2imBS3KnxvR2P7qWIGv/2xgctp zk4cuX0IEfsLZ9K6pbnDPHf2pY2QVNmkkB22L0j6seDpx/hpc/59sP19/1JfLjgiCmNmd/mZRjR0 bBLSwWy5jyTr7zG+qxNNPVEjO+Puq9BekwA81lrSS89Hm2aJ0cw30pTylErvaztsgnYrIBmE0vgO pxrZK3G443e5V30psJGHNu6dUvneAjFzkeA1dF/GaSRk5Fs0QAPfy5+GXUrmqBGohkPgDoEEgmZW /dk76qQDms3LC95e1kSMdnSrzRYLfhydA0cOq0SZYrTaUxpMEKbvaAyDqOTThSW3iK9HqwhEyevU uidRXIiLtEg6/PoXq9GVdbunbx+2x8PrZn/YPQ6gq9oT+A8aFqFDCCdm7mpbhq5J0oXq64uL75pf VqU0nOXjyXx8fWMvVQg5vna0QSQ9fchnPRL869KwmEJySRL1YsgKwmouLVQSErmj8a3ZnbKxY8Mf RvvzHx/44UOIUu7hfVsAPJxOvADir3dE9YXFhfbeIMV5FqLOakbrQkT7CGtyvVF61y5sRNO0e2Dq 7cnZSW+b8QrNL8TT/lJzfbCXaikXGyBocxvoTFAYghC/g9iMSjNXQNDIlk9DxYIkLOl1ngRfaAKu zV/H4rYPwpl3m32TbXhqb9WSkjyKisF/6T/HENelg2cdlnqPp2pmL+8LuHHu83m6yypbWEbjrwf0 bAb3PatCbhk4fhkI1TJRt1dihqkt58CpBgEN6r9OYzx0eViBYkUWDWOalNQ3mptIAvJsDdGahYwj aSiFWYcFcLTMmJTWJQAQMY2FlwwWUectvKw5Dz5bhGidkZRZozb5TotmRTI8Vn8ZQ7FAoGRm1TSD Jwt7VJ1MdV+1pPgUpr4nVhe89WsaM+eNpHeS9Ive2QM1osaLhgZbAtUxSYqkH50QOXPoMQnAwAiX av8dCQv1V7cUUzcwag6PORPt1vfnbT/uAnAgeCFA08QkWQzH5mVqdD2+XlVRbv6VDQaxjmO7UNxg wYHwBdRlmq6dv84iFHeTsbgaGogLYsuEi7IAfwO7zEJqoQqSR+LudjgmiS/4YSIZ3w2HVoG/po39 VaGNACQ0ur72VYc2LYLZ6NMnq0S14agp3Q19t6mzNLyZXBsANBKjm1vjN54TWCIYynzSe/YrLEct lCNeUUvqK3zwtqpEFFNf7JEvcpKZJ2zGBIP/zOkaC/mtPOnY1XftTyiYzbTvSzS9InJsAOiOeN0j ttXtXd2iZqRkdXP76doz+7rB3SRc3Xg+xMdYV77XFzUf4H11ezfL/4+yL9uOHMcRfb9f4afp7nO7 prSElnjoB4WkiFBaW4qKCDlf4rgzXZU+k2nnsZ0zVffrL0Bq4QLKNQ+5BACRIAmSAAmAORsMbvLc dXj85rIXqQ0dnb7+uH+9KZ5e315+fufRla9f719AIXlDcxXpbr7h5vUFJtfjD/yv6hH2v/6ampfj IZAhdhwHk5AOEirBgkzQomhpwzZPj3Q6IbwauYI5P6CAkIuLspQox71FJmed4j/EGQn6YKK3JaiC z595Z3BT/9fHLw/45z9fXt+4av714duPXx+ffnu+eX66gQLEhistWABDp1y1R+bbYkAywFILA6AO iv4nINc18rkms56UWRiALygVEgvEHB14IywfBiCcB47u58gKbDaaKPD1JI2//vvn7789/qGcmI1V TlGL09d4ZT/pysak5ff5VSOt8l1SYDN7OagBqdRfo4OHDNGY5tWO9d28/fnj4ebvINb/9c+bt/sf D/+8SbNfYHL9w2Sfybk1jp2A9QRM0UdnqK5XyhzO+4idBP6Px/GWkzZOUjaHA33HwtEsTeprgsHo Sk/00wx/1TqfH7aa3Q1iy6zwstjBP+QHyoXIDMfwLHQYtLeKda2ojra+tCb8H7VDLlqerILD+UEg z+Ng8HTas2NqyXjApUu/npORsxsAxQRxLSRKpO0NanLMqo2cqwRXES3KbYw83zXo1NZ1jXIojkge iEE3EtGtOh7CFgYL9+X5G/oV3PzP49tXwD79wvb7mydYHv/74eYRo/h/u/8sxbHxspJjWsgzf+IC wWl+TjTQx6YrPursYjWEwUK408iwSmRpgXUuT9XMH2BMFTVo/2ShfJ1xlGIQ4poQk2ijnH1kit4s V8/vk6kDwx2/KZbaNYaXqYlrRui4ZsgXBCoBn+x4d1KwXlyJW/x0sOuyanI1Nrs1U660gdI2DXgh e3kOTMTjCXeV1Mkh77jfnWa5a5TCExYvbug1Dasq0FIumHzVD2CMe4MW49Vkpq07gD3V6C7Yko5B 2ejfrn3C6qTFfHD0F/2x4IfU5wJ9bhVPLixPHdAJAmveRwXKD3QmYrnyfEcv+Rk/6rI0olR8bQFS FeM6sIBQYBXAp7xTB44w+2To9WOp8bqgLAHhCs3xrxAVjaWNWgIIhJyYPnLoIm6rQ1yT04XvMeTg TisMj956+owUheRS9JY9HrCYZ4wPsXUwZ/9BmiPNf1AY1JOtPpfTp1CQcdMkIdFxVJ6eCGtHLUpy im3aHZ99htk+UkynUMvPawuLhbFrFE8/fr5ZdbyiVtLC8p9gfMk+zAK23+P5STldwys4xl0gb+lY GkFSJTDjh1txDjVf6n3DvIDztvWqsYXeECyHxU/nZYJDtyWnwYplaZfn9XX4l+t4m3Wau39FYayS fGjuiKrzswBqPZCf6cVYYBPYzTEoadbZ+ZDYT7vFVyD9uybpaE1Iaoa1WmgBG+NSl4CXEXaFTQAm BFn2QuNTK/SCzqSjAglakBWmzY5cK2eCw96jWYUpSSunCsXVosEuRLC1lnlF7iEzES4BsN/1RMMY mFqXos5UB4cZ3Vfkfe5SMtf4yE8FSregLVSe75GFXDDVFXmsPJNUsO+XZVKT33OX0aajkzepVDst 7RpBho6BZOqwpb8uRQY/iI7+dMzr4ymhZIsFjuuS7ON0NVwydaKhtWQUmylahjT6kSRBN3T0UcpM sWdFElIDKiYnjxtU9koB4RkzoI9TC6cyVdH2ObnLLDTHpL4kqpInYW93fUKxKJG0+SFhJ0YUwGAv TkqQu7SpqGTSYzubU3oUq6y05S1AVNswL2AhBzHI+CRjUbwJbcgojqIV3HYNpzpXEXjFoUrF2z7s YLNxVwruK7BDq0EdeYrg2vvUXbdCewLluxjSorOVtjt5ruP6tCTpdN72XTpMXo2hTkVax74bv09/ F6d9lbgb6qzcJDy4skWn4vuetaayZZLYzjgJUvriwSTcaBcyFIV1xCcC7VxWJsGbrZZ0PJKpjkkF JlBhYyTPe4uwwgwuk2ENN85lC8mQ4psDNHJ/+lD07GRr2aFpsoLOT6Y0DbbWnF67ZbKiLEBMqZsT mYqF7C4KXStLp5rMc6o0+bbfe64X2coAu4ey41WShu4xvl5eL7HjWFkUJJogE3RVMrhubC+nSmG/ JJOYKFQVc92NtYy83GMuzaKl1niFkv+gG11UQ3gqrz2zTJKizgc1a6lS8m3keu/U3uZ1peZPV0Yj AwumDwbHso/w/3dqwkMDfyksW1iPblq+Hwz2Bq4v05esj6Nh+Etr16WClfe9OYA7N3pbNQzsXZqj KnX9KPZtLGEJYnF4lyOuJiT1h4LSrHVCv6LZQVzRV6vs9Kdu994qiYR8ituryaoUB8p11iorOg75 S42H1Qtv0EhVTGdtTMyzMlc4WdM3rR39AV0+LZLGe8q2+HCkZ9knEPnpDsPGVY8lcxxAOUk3AW2v 6NTTzLYVlrC7lc7g/y96T87Zp+BZyjcvSw2A9hxnWNUbBM17q5ugCtaqseihI/Ja2Jhs08Qy1pgZ zaIWs6IU0exkm1jB/sL+wXpXWJMkrtpb6+6r1tqd7NTtwX7xrTaUQjzEYfBu17csDJxosNX4Ke9D z3tfyf1k3LlQXd4cq1Edtq6NxUcWWLKuKvXh0WdBLdXj6U0h7xYCFsdtFYPANrU4/FSQYJW4G+O8 S0B1BxsFZxuKkYibHCCE9hVPEO5Akye9XsZDMH9woOv6Xs1oIJDQrAF2uDPPHdxYQmtHyiLltO2l g05YOVIcoggEg+4rgd36oDa3fUF0DRDEWy8QX9srEbsk8mJrWVUl8WalW3heyh3ot3KUlYTK8rTJ LDjeXTomxQVjjaOkL3j0UZ/TCWrn80UG2/ZIaWX/dug/bInxxAPNKln58A42xaK+NT9NK9fZWj/r 8gOmpmq6ZeQ0fH9SGq8eN+Ba4bmxnSIZWg8mWJsTnPWXcuP4zvLxSvdNtHyI7McflzJ0Ns48kFoh J/6P9es2KStMnGFrS5vuAyf0QTzlHJwzLg6iDTFyl2oUx7VJCERGyzSa7jZ2gvdmKRfjrsG3kNDH otGOTwVRlkRe7IwDTnrqjWRbaC0934VafCWXnnTlYiLJhtKnFlUOVs16FaUcDglUUcFgpSeTBdgx vHBrF5O0SlQbWwHTa3vWnb0QJPndXkO6MJjo9DoEOjLRXVXoBx8cpEYkIkSNO+SQaqdB9o5vQnTV jcO9bHRa0+ld14B4OsRXlPoRRikYIyrRCwg2BiSY7m2O9y9feNBp8Wtzo/vrqC3hP/FvNe++AGPs 8q2c8EuAy2LXMk+HdslFbtJYgnDYA3LSBxVJAIdXuEbdXXoVtehFtjutOI2Az2S6xpPW+kNS5bqL 9AS71iwIYqKQmaBUPC2pTp9zbVB3m+Im7ev9y/3nt4cX04u5l1PHnBUe4R/WlDxWtWYibQJ9WXzu J1qiIcfLhJTrkcCYVyJTvBROdTFsYdPq7+THs7gPrBU4vhfnBXM0QJmhNyZ63GDk9CS17OHl8f6b Gf0wnt9Pz0DoEgGoWMupK9zWn59+4YhXUS734ZPTFKtloKxf29Ih88XrNK4qrQrK7FOtASIDZF4V Wr5xQXV7yHZqlr0RsWQMJ+HXE4+K3ViwC1N6w0G/9On0xQrBYFSMFZbKsY2GsPbETFB3I9uuRqEu 5xLQLHOSVe3RorH5xV7k39dbLRArk2Ok+2iywdK0HlqqTI54v0yWumHBIvXhCR1nPWMzCOnbgZFs l1ahP5iDN8KtQzQu3B/65IAj9B7+r5azrCx3bSLHw6jka1XyYkAmedYhQ95lol1yyvABmH+5biCn wjYpbdyPcQgtozlS0fY+6FJipHGDe1dUkAgmiWira5SxZ+W1bLFyexGcpqj3ZT6MjSBLWSje5wp+ 5QNPYFEcihQW8Y4o1SSiCjbEGvRWRsabj4sRnle4fmDOylbOqyIBlaVvDsRUthqDi1p4UGc2r5ZD U2b7gh1xj6Zcnk5lOW7fy4GLeBkJDE1qJz6nRCYPDk1XOoOnn1PvvCVM2necC2vAF+DGt+SIKoSD MrVvFG01v6BLlgsKhMiAaezJwq/55jOh9CwtuKtTtMevqeU9yQSfkqyvG8eSEn8hIG9zWdp5m0GW BitX0yfQm0pMHvy+VQAY2DqP3wjD3PUcjgkeJOWnT+FPK98uIADfYzcc9Dic9M4TX+hXtQv4mnaW ZwYmItheDCKChJ+5mbwiClaMYsyUTGDr07npdeQZGo6OFMOd+RHrff9T623IFo0421mxTqYYerBK l3dKTOgEEfGgSz52UwAWC40LNMziE6xQy7M9phcjMGg6LyrGOXQO95fD6F0VrD+9wGH4Xrfi3wfA 6jS/P1X9/Pb2+OPbwx/ANlbOA9QJNZcPZrcT1hEUWpZ5fSAPxUT54uWLP9UCBBz+Xvmu7NONL99f Tog2TbbBxrUh/qAqa4sal7GV6rr8oJaY5dKHZmVVOaTtmHhvivxa60KVpzEdFJouFp7YmPFolobk 2+/PL49vX7+/KgIB+seh2RW93moEtykVxLBgE5l7rY653tkeVZ9nWaRUPOPyb0wQNKaR+Pv359e3 b3/ePHz/98OXLw9fbn4dqX4BWwqDt/6hS1SKswglxcJvluProTzjl768aWgwY882cZTIpPAQpaS8 ys+UxY+4UZI1iIisgFXsw5SfWimwbqokK6idEbENtoaphcK4ENEriOlufUkDF0mzxUtq5tJgvAjH gUWl3KMiTCif/5pTZcK69QQ6DaB+BRmEUb3/cv+DL2a6Qc27FDO81teTXn3X7Jp+f/r06dqAiaR3 Sp807AqbIX3YigRFfaf7h3L+mrevYnaNzElipzKWdlgFlHSq67zUGdhbXnG3Crz6+bqQYUCJangu cJx4pvTyEJQTHW4m7wRzeXKisjSrGUKWxEiTenFRwYtqBArhgiEHoSpg80eaY0pahVrQbbsSpgY4 nTMOy5eoTLA8q/tXFLIl5stMg8ijA7m1pZaUDCJyEDaiQo5BQRisjLtEOe1ApQa23DrNSeD14ynJ yOZNawdtdgCJIVQSDg16NIwsRjZQqKuLKA/tqZ0JJNhrxJyxlN2Wjuep5XRNeovejSqUeMlSAl/3 BZ2XeaQJtbc5ZWzqxgULHY2L+VxFFoxBvgRDyAAKTaWBplVL4eHTXf2xaq+Hj7YLYC4ulZkXhkug tH2bscHI2KItIX378vz2/Pn52yi6qvHRcpHU0mBIyL7MQ29wjI62LCxcAud8INInFSVORzlC+cij Txc9UZzsg6h+XsIrp/2cg789YjS+3BosAvVHoqpWztQGP/S4wbpvRxphuLVsqoBSLrEAMNowjO6W Pw5O1zjR8PNftfoRM06muc7feaL5t+cXQ4Vp+xY4ev78Xzoif+I5jdvjHczBGwzcqfP+0nS3mLaL Z4MH077CvF43b883GLwPWxNsll94Qj/YQXmpr/8p5zwwK5t51/XMKXvmiLjyjOlyXxd1JccCSfSo nu5PdTolqpOqgP/RVQjEPBDjW9um1rwM1chXwvzIozSmmQDvn7cqGwjnl5ueCa/S1vOZE6sqjYFV TDMda2IYjJN6/DBjBjdwaOeWmaSv9tTCNlfLfS88x6xWXGhT1fLL5NVamzQvG8sbc1PFBag5uIpf ma48i+SIIPav9683Px6fPr+9yHciS8I7C4nRgfq1wYwwt4wJVQJvdXKgF4657zJlQ5/gKdtEpXw+ pyC2kuCMadbxFB6MajCuuVYuP6oNv5V9dATwTFE84lOkkpKeZ2z22n48fVJ0H9VdU8wU3cgVb7Ni uD918cdNZy2ubgZez9ST0Ry9ZFeToSh9vrMY8iIX1/f7Hz/A8uJi8cUMueNfRrinY3ZcW4W6tiWY nLUntbTskrR0NJUwk3r8h74Xk1tHmmaCoNOFXMUfy4vlmBWxZXMo0jOZVJz34i4OWTTofZvXn4Rf vAJtucOWBgUlK3Q1GMyaJMg8EN5md9Jxmu4zyUyq3k1y8CXNtv6GXqU4gdCH7PhP+Xmt6xLMEGBJ Q7ciUPMhAIc+/PEDtklFZReFZ20QxLHRqBGOc8oqgFndaj10uFxb9cEDaRZYhYujPWN4BVTNuiUG E8+S/MGoZoSv8cxJIscoEN2TdAb6tki9ePTMlgw+rT/FxN5n6/28yyIn8GKtil0G3LjVRVltjn16 zS3nLWK2tP5242tFlW0c+WYfZuYaYe6IEjgw+mbaJZWZMDrdqt2FnrFxaAwLR8ThygTgFFuXdvgQ FB+rIaYSZgmscH/TGRLubuZ8NYIWTLx+sD5NN3OYZ5NjdfhhNXfDjdnjvrt1ScFXA2kEPPX9OLbO orZgDeu0soYO4918WYQJXkUMPNuZbZi/IrAcfX58efsJCvXqXpYcDl1+0F1tlbaBxXtS3iIlC56+ 4YnkeTXuL//zOB4HLabeTDUeblwz5m22knyoGDmrnYxx5RfdF4SqfCxwdijkBhCcyRyzb/dKejAo hxuY1/6Yd2q9As60B5pnBDbBoZLQqRQxUaZA8PTn44NKdPFq1CZZSmgp3vNpRCzHLyhf+I4N4VoZ 9N9l0Le0P5C9XmREFFv4iGIrH3FOxm6oJG5EiMkoDrNCzd+NxWyh0lWRBBxNOxqHTxLcNrX65IiG Zz2tDsp0lj1IJ8H/9orrhExR9qm3DSycVn3oq6ENMnb2vn6X05GDd5jFZzCTvtBMTYlAKHjvlCKI BKjZSyb7+Ahv1cipBEdqEoepTisaJSrEd7fKOxqqH+a0WXKdEntMxhdexKqgSY9PsvS6S3pYtqTi pyiE6ZtFxIU/My4RJzoydqTgX1ITgG+pZsH8iRLbR3iqhbmhUBVVtPeR8WuS9vF2EyQmJlXDmGbw xXPcQGZgwuC0DqmtVSaQFwQF7tqKjKnDl4mA7ZTDh6m5bEe+jTEmytI+msraffSigTzgnYrNkq0b UA2Y4AYjIjhhpQGCQJK3MZpBH2WEgymxP+Xl9ZCcyBvpqUwMI440rU3DrfUpJ/FklWrCTCESlZIu YWrrFLxAVdsNAWX1T58WrEWuqB7kE8qhtqaJwtBcJwSq87JtO8H1w4ylKi4ftLPMVGbvh2pTCJJ0 44YefawoNcvdBFG0SiTy7DUjdRhQyrtUoGZ6qJitT2Li7Tam+gImw8YN1iYDp9gS9SHCC4h+R0Tk B5bqAq06kgZEYZ2lYBuTExFR4erkZtXO30TUt2MMEpW9Y5JvPiXFPr0hV7LJE26Fga6HhTgwu43f 9ILt0GYUc6eUuY5Dm31z44Xh/A7NdrslQze7OuhDjMDS16TjpSJ3eq59J8qd9AjiT9IVzBLeMhHl VQ4s1egVPyoIIjPdtWL/cswymz3ZsAmNKeIwwc0VUxSuVTu9SXhoMAlt3l4vBcupRsiE+6ToxGtZ q0zIn4hHyVvj9SztE3vpBOEqv0iAl8T8r3frfIe9LD/vu/zj9MlqcXl1Km05Mica9fGy6VxFkqGp Xn6dQspWcWV4PbzCkKyyEXSThpX06TFrJIVwghhOOTOibi787XBao5uohBeoSJKb1yiNVCK2mbxp eRKKKsdHyR2iPOPknVvFl/u3z1+/PP9+0748vD1+f3j++XZzeAaj/+lZPVCYy2m7fKwGh95eoO3h Rtbse6LbxvVGxizyI8ZxQtkOM6hPFYS4FsGI7FTLXjaJUl5/csItNapC0aYRoGJTdY8u7BTbM82n oujQQl1pW1UOmBxE0vcwxqXFuEuTncljw8TseyjEcR0CNTlMmZjsQrZsWt5XuJ70PupzzN+PARJr jZ4mtckTD/41wei9nnju2FXT0dr4Evsslen9yxf56U7YIlOiQzCbScNYsVNCDthOI+HOzTx3tkS9 eCIoJJQHAxCwrGj0Egi0Ch1fl1RPxHb49izFByKMeco9O377+fSZP6Bnfbxqb7yNBBDJAFzGFOHM j1xKZ5+QnhJziEH+4sLD8tQG/yzpvThyOBe2knnuAvQkSpXHzGbUsUyzVGcWeiXYOqR6x9HSFYFc oGZ7LTD1bp533Ohup7gYI0K/HlhgZiEjXHNv4sXjpa9LHUDOWFVxnsExfck+40mFecF6WvNZkfrG uOKa7dPKOX6E6MCzJqWQSGyxWjOJrQdmZwrjk5AyDUekZpRzaFlTti+iDkmfo/8Lux6YPnCp6w+q D4AEtkSWyRRawDdHtV7oUWkTEHkswg2sf63yPhJearXTCEkwKFy7McQiio8s9OyDdptXbUlpIYgU WUsctRME0JBCDg7JQw4h88LQ1WeCfn+2QM1BE3Dy7mpBywbuDI03PlEYWJHks4MT1jMaKSzl1Y+2 sVZ/H/qh3kCAbSOj8Lzee+6uou7u80+Dlk+Iz90RpBRzLvBNLz3DsESAm61ajnRkM833KQNFoq6y M9xyoM1Lq2JiknR94Ph0Mh+OToM+iG2TGL2ItH4d9RW9Gpana/sKKzZROBD7H6sC+fmpGaRtyBx+ exeDLCvLULIbAmd1R5vuecUlZ189fn55fvj28Pnt5fnp8fPrDcffFFPSbCp/NCexB7pyrLH6TleV f71GhevJT0OCKWnxlCNAxOo36gIWR7ExVFBOWZ1sQqTdlePhi+sEgwqBAVKzvY0ppSyFUvfqC9y6 RU4HP0Y3zI4CRrsAEYT2LXlKZ7NWYRyaJYvL/VU+t662l09QavOZcWubNhDBJuBTSuBkERixeFPC Hct9BC92pElOmZJBbcysY07RS+l6kU8gysoPfGOB71M/iLdWUaj0ad1HZRgOOw2Yhn4cUdCtb0C5 Y4XG2uQaaOjVXfGpqZNVVWiisesVYKlu9P1ZmLV6faOxSwcESgSKv+kED4gqAiN9zYjZbqnTQ75k 8xxsWeTGg6ZuT5jRr0fdGeavLEeXYnVFHclmp3DHVq0JwtNMsYC5a0C7tojz95yvFdjVsE3/S4+J s5lei5U7XsIqtc55sWyRJQvFvhhy2OCbsk8OcvqemQCjkE8imJydqtxSER7t8ZO9mW61VtDsDmIx olCqgrig0KCMw8CGUi8bJVwW+LIKJWG0a3oJoxlwC8ZwFVNQoxwSPTRbiqTALXSpJQeVRCEMRooD 05hRcK5HibNC4rlk13OMS2H2SR34QUCOCsfF6rXJgrXoe1JWN26qUAULzDnwSWYLVm59h+QIUKEX uaScyAuriQQdJHLphnAcZfvJJHHkkfKkewaqGLpfZ+XHxIgtyoYKo5BuAnVpSBIFsb0Ebne9V4J2 lajg4nBDss5RofWrrUf2EkcF5PQ2zCqdxa2/0srYo+xFiWg0zXUVRqWISNNEpYm3NPtp60Iv0rg2 2LghjYnjYGthCHAWH1CZ6GO0fW+EwQ6lF4rZm4jEBLGFMW7rvscYN37fIRLq/yrz6H+8oaVTtZRl uOmaIGH38UB6Vsskp0/4ZqylgDMsn++2n1PFf4mKtEgkGtmpcgF3CWt3edfdYfyd8gQFhk7SrHMD e7Wyxd42UaChkfB+EzukeHV9dfbIoaOMawlbHgKXTn0vEUEJTkjuGoCKvQ25gHNUVFMoMIACN/TJ GWzapSrO8+mlUJic9BSTEiNbcLZ1nWNdf317M81ZHbexqEWr7uca2ZZM7S8R6e46kharhgguCNO0 UXGWHC4K0YaWnlRPiYlh49IiUhadpMTt2j2HcFdDT/lqTPurPqfWXet8RpE8AkmXBhSJTBASWYW7 64dzKsHlIllT362XyZL6rrF9fUy6dv3zCoyI211GsjVUraXgomrq95paVdTHvIPP+Bw85UGT66OI kLrpi30h84bQtlCij6o8KxKO6CgDefxCPPmKOTAkY3L+Ep1JlaygnJ9j5MtWC4fpNgEC1XNG/vbC qWR5jEiZU8R0SVHD4GTNBbHkpTcyZTCkgPHBQiVbwYTdZd2Zp2xheSnedx0D7r483k+mLT7urJxN jt2QVPxmS9RgZUw8UnftzzYWMQdaj88pWCm6JMPgGUsLs86GmqLuJLzWBu5IS7RAChQzOmKq41xk eaNdDoqOaeq+a8pSyVtx3k3iOsZ/fHl43pSPTz//uHn+gQcJ0q2tKPm8KSVZWmDqHaMEx9HMYTTV q0ZBkGRn88xBoxEnDlVRc72iPpDzjte0v9TC7VoKOzHbI0nSEpcvtVaXp7nbsLdWRoMojJeWPf7+ +Hb/7aY/m12K/V8pizyHJAP0TNL2uIa7oeSxAsgxN4HoEMt7o0jGcyqxnIemg6nK2LUkXSKQ+FQu rxDPrSL4lifhfDcgGjnmI/rt8dvbw8vDl5v7V6gET/rx/283f9tzxM13+eO/mb2NSwsp+NPiy+fc 1DnW2Y1ZLKDZTTsF5vOaPj9//45HY7x2i3zvTntPW8EXOCH7HF7lVSNnDJC+qJKybOQkGxW7siKp m2uV9Uqg4IKxvP8HtS9rh/DVsKQQ3mDWxcrDeIQ1Ohz6v1QgLmZrhEIuqvRX9Cu5wWkyZjKSHbSw eTh4sLQrx5aKOEkSdv/0+fHbt/uXP3VZKzoeuDkO4/3Pt+dfZlH79583f0sAIgBmGYrIifUFlQH1 SJrTJD+/PD7DEvv5GcPj/nnz4+X588PrK+a1wAwV3x//0K7GRGn9mV8mUEuUwGdJtFHf2ZwR25hM fzji8yTcuIGxxnK4bMgIcMVaXzmXF+CU+b58jTlBA38TUNDS9xKjxvLse05SpJ6/03GnLHH9jbFB gNIbRUYFCPW3xqbRehGr2sHsIq5K7vr9FbDkQvzXxkzka8jYTKhvcSxJwimKesrdIJMvW6W1CNjY Ilc9yJQR1EnOgt/EROMREarxaARFTMZTCPyuj12jtwEYhGZtAA7DlbpumeN61OnfKH1lHAK7YaRX B10bKS8xyuDBkDQ8nIxUxwkVoyufxmxsA3dDXcBJ+IAYJkBEmi+7ir94sbMx+L1stw7FLcKpM8AF bfbJuR1AbTcndjJsPW58S2KI0n2vCD8h05EbGT2cDl4Qb5SgeE2wpVoenuay9ZmJpXv0iZpEEVNO VdK8iIzWCrCxciDYl6/4JfCWBAfyIaMCHq0bDbX1462xuiW3cUxI6ZHFnkP04dxfUh8+fodF6b8f vj88vd1gfkZjoE5tFm4c3zWWXYGIfbMes8xlB/tVkIDq8+MFlkK8GiSrxTUvCrwjk4tfL0G4kWTd zdvPJ9iItWJRZwBZ9cToLU4gGr3Y8B9fPz/APv308Pzz9ebrw7cfUnn6XDqyyCejsMb5EXjR1pAj wjhhPU+9lzmeoo7YWZlzA6wzeGBuGHrk/mR8LKk7iEsMrSkdMi+OHZGVjFKclM9UJbg/1cvD8OnP 17fn74//7wH1eT4Asj/uQo+JK1vZXVjGgY7i4gMNVmzsbdeQ8vpjlhu5Vuw2jiMLMk+CKLR9yZGq l5uErljhOOSFvUzUe47mSqZhLcftBhnpWaYSeWFIt6TCdwotrfzYu45r6fYh9Rz58lnFBcrDQCpu Y8VVQwkfBmwNGxmnHiM23WxYLD/Yo2BxvQgDW2cLMbG8DS0T7lMY1/cGlhN5tro49r0RGxny6Nbk 9i7cp7DtOlahiuOOhfAxbQMrHJySrSbDJB0rPDcgnUYloqLfur5linawxdnGdCh9x+32Fums3MyF ztxYeonjd9BY5WkearmS17HXB25m7l+en97gk9k25E4wr2+gD92/fLn5++v9Gyzmj28P/7j5TSKV 7F/W75x4K6nFIzDUrtgE+OxsnT8shygcK8/DERiCvvsHBXVVIE4c2SmJw+I4Y77L5wvVvs88ceL/ vYHVH/bmN3wiwdrSrBtu1dKnZTf1skxjsBjnocxLHcebyNM7RYB9w34G3C/sr4wAqKAbV+83DpSv pnhVve8a9X8qYaR8SrlesFtjJIOjuyFvpqeR9FRn0UkqbC8YzJ9t6ZfuJVlYEx9T5nDfdGLaaXka Q8eJaVttKsALqcUQseecucNW6+dpNchch2CII8WgUevjUuegl5qMk8oY/FCvRIBpe2IRD2tXgvTq M6lnsBFqlcPUcnSGMDldIvtDLJ0czWmKULb7m79bZ5067C0oL1ZWETkYfeJFZscLMGWSzhIt3w+P U16b2GW40RJcLO2zJL1DgnroddFX52VAzks/sElIVuyw7+W3/GRwaoAjBJPQ1oBuKbEVTaQcDBCd 7LeOq02DPDXEFSepL59qiIEBHd1z9GsVhG5c/bal60sv9h0KaHThCEZTakXSw1gt7FPmwnaMFwBN RrDE1Y5ZitNxD7GuzrhAxPrEEZ3pWeTI8l7yskRGxmaR9Aw4qZ9f3r7eJN8fXh4/3z/9evv88nD/ dNMvs+zXlO93WX+28guSis9yq/w2XeAKd0SFGwTTngqI3aWVH+j7UnnIet/Xyx+hgV7BCA+p1zkF HobPVDNwKpPP2HJJPcWBp81zAbtqFwoS5ryh4pLnysyuAWUk3HrGOBUs+9+sfFuP1kzHeRqvLCm4 DHvO8iwHVqyqE//xPjeyaKYY9kdrLxs1olC5tZPKvnl++vbnqIz+2palWkErv2W3bJTQTNg59Pmz oLbzdGR5Ot0hTq/Z3Pz2/CIUKUOV87fD3QdNCuvd0QsImKH+ALQlXXtnpCZg6Aa7MeWbg60FCay2 qOIRgW/OExYfSupwcMaqJjgvqd+BeuzbJAjWojAMNMW7GLzACc4qkJtbnqEJ4Jbga9wfm+7E/MRg haVN71myVOBneZnXuSFjqbiPXMKf/p7XgeN57j/ky2QiDeO0mDtb2yrBWuVUy2o1qYdJ5pUbr/Xw cv/jK4ZrGbn6Mzm3IfwQj1lku4KCMsUBAOFZCwvUMD2YRHcfkvHEz1VFtXVGs7zco9+EWvNtxcYX gEz4fregiPqAuYr1175pm7I53F27nEwxjR/suYfDnGNErUogm3Peiatg2CHV6gRBmSc83z3jqSGt fYGPWF3BfM6u+6KrrI9kjL1Lu+Yg8pBX+Aa0tXNsOPyOHfFmmcKy9JjPr8Pirep4BH4D65jt1BS/ E89mgTZnsWNGElaUbkiF9kwE+PYHHhdu40FlTEEGRhJgG5tCOekq86lfLPSYlWmmCw8HQhc1l+up zvKuO1E5Z/isSEqYFQVry+ROL+W2qfJMeyF9OpSX2JGLOx9ybTKeYSD1gk8ZqQkABspNskSnl1Id WL7r0qTDjB7HrNKmPceU54yp4L7QEyfwWcDKa5ZSsZiIbRPxtNC4N7/++Hb/5017//TwzZAlTnpN dv31zgFNbXDCiH5qXiLGzprSSa5xACv9iV0/OQ6sC1XQBtcaTJ9gG+qNEcS7Jr8eC4wd8KItFQqt kvZn13Evp+pal5YCM3wdxLYMCpKxu4mPxcH+6sd5WWTJ9Tbzg95Vtr6ZYp8XQ1Ffb4HTa1F5u8Tx 6NqA8A4TPe3vQPvxNlnhhYnvrHdCgS8M38I/W9+zFDuTFNs4dumrX4m6rpsSn5Zzou2nlNTCZ9oP WXEte2C2yp1ANyBnqtsjzBF27ZlDvsMoERb1YZzb0KHONsrk62JpvPIkwxaV/S0UefTdTXh5hw64 O2ZglG0t4zy+H11mW/o5TalQoNqBlf7RNopIcNgEEWnGz1ToWFyXMVjXx1IzJRaa5pwg/3zCuJZD NIo6DCNvfeQkYjDiQ6r3qqTuC3xJMNk7QXTJA5eiasqiyocrrt/w3/oEkt6QdF3BMB/i8dr0GHu4 TUgqluEfmCm9F8TRNfB7RtHB3wlr6iK9ns+D6+wdf1PbxM8SV7HaPV1ylxWwqnRVGLlby/BIRHiX /c7wdE29a67dDmZL5r9HPMkjCzM3zNYFcqHN/WNiEUqJKPQ/OAN5GWwhrxxqCDQSNQLZTpax98ji OHGu8HMTePnesfS9TJ8kf7k7mz0U+U535sVtc934l/PePVgq5w725UcQ085lA3kdalAzx4/OUXZx yGk0E2383i1za7OLHuQIZiXro+i9ehVacmdSSOLtmaRBB7IkHTbeJrlt1yiCMEhuK5rxPkMfOJD9 CzvS5udC2qJjn+PFPSwXln4YaTZ+1efJejdw0vbgupbloe9O5d2ok0TXy8fhsL5yngsG5koz4LTf esot2EwDi2Cbg7wNbesEQepFimGpqWLy57uuyOQQcUnZmTCKNreYwbuXxy+/68o2f3uRsCHTIww7 hsSj/UAmjue20LgVA6g2Hg8VdhXsELAAlv02dC2nVgbZabApxaiGXTF0xNBzq/yQ4LtG+PZx1g4Y 93nIr7s4cM7+dX+xlFdfStmKljFg1bR97W9CY2nrkiy/tiwOleMcFbXRvgITC/4UsciIpHAO4K3j Uc50E9bzN+ZHqHWOQ275tD8WNb6UkIY+9JvreJqm1DfsWOyS0ekv9Fax699Gq9h4DSt7oQkz5trv W+Xh1xHM6jCAcYpD84M2cz0mspbLRhYPRoG1K6mHUHjiqkaYhI9iMrmcQpa1qyWEHp0WZjKUR8c4 Kw2fitUxa+NgQ1684oSjDMIROMcTaYuIuQKo9eZ9nZwL6p1HYb+m7eGkVlgNzADsdyroULneyZev ODBGlZvyQ+wHUWYi0Pzw5KNWGeGraZdl1MZyTzvRVAVsFf5HKmppIunyNlGOXSYEbHtarL2EifyA vELCtaBUPRFQUM+5Z2qgoByv7Cb7rtHP3qo0y/UZkDFtQEpcDu/05WnUsvO65wdq14+norvVvyx2 4xvv006yf7n//nDz75+//YZv2uonNvsd2M5ZqbxbCzAem3cng+SGT4ds/MiNaD0WCn/2RVl2IlBN RaRNewefJwYCOvOQ78pC/YTdMbosRJBlIUIua+EcuGq6vDjU17zOioQyEqYaleCVPQYP7cHIyLOr HA8IcHwyoiwOR5U3DEAdTwPVYvA0BdkCQTyQY/R1ev/ZyBAKXyddlYrztQWG6Yi1d7yxDW42JUWU Kq805hEAql2ayxc1+LWfav0GkPEMuMsPmLSb2rgE3fjwt/Y1T3trj2tDIkzsZim1YulpP2ilaud2 MqrYwSI29JvAYrcByUrOd8COKXu0GqscFeqmsjV+8hNVmsXw8lnz2xhXeXJ2cpnY3X/+r2+Pv399 u/mPGxjxKa7RuG1AwzwtE8bGANxlGBFTbsAc8jZeL9sHHFExWFUPeznDC4f3Zz9wPip3pggXqzu1 yU5YZbdAIJgE3qZSYefDwdv4XrJRweZ78wgFo84Pt/uD/PDSyDsIyu1ejSpAjNicLEw2feXDBqW8 pTJOXUsPLvjbPvMC7emMCSfSnBGVLiRKRogFbORdWVAf06a6Xso8o5BzvL2BSTLMQeLQjHIk6XUj cWqknFQaGvpOYu2F0Kf9vCQi0I4sz0goRFFM+7NKfOIm19Fn2AvVlLXiHTLqBQmCzJJrSeL8HHhO VLZU5+2y0HUicsy6dEjrmuzxPJN1wnfWhOl77nJPb0Cj+jnetD69Pn+DfWbUNMfYQfM+81RV3Ehk jba2dUkF6/l+j75vAk0ucu9UNM/R5iBtTvjryg8cYS+tacT5kKhuchIuLU+9521Ihoy726ls1pxq 5fKK1eZj7UdQeoxOAqD8HfxcHkHqu7w+9EdSuoCwSy4k6nQktSssenmJV3hJ/Hj4jL4Y+IGhNSB9 ssGTWUkMEJZ2p0HnmQOv+72l3qTVtjcOPIH+RW/EvBvy8ragFC1Epkc8uFUZS48F/LrTqwEVhyUF pbEL7EnL5ojQKsHXB+6svKXc6dpW5F0LShXTy4TxOjQ1nnZbvsvxGn2vtgkzNsgJ0zns022uNf2Q V7uiyzTgvtO+PJRgBzQnpkLBCkzKrFCBUAU/E9egd7kKuCRl37R6efmFn8HrPXC464xnQxSCAp9G sPQOKI5qNR+SnZygHUH9paiPSa23pMZX1PtGg5ep9gAcB+bGdCzzujlT6zdHNofCnCITFH+0rbbQ CAw5VRDbnapdCXZp5inCgKjDduMYwMsxz0tTcMCKKdIKxtqYdhUMWbcyCFVytwethlJvEQ2WDBdk o1h80x0fDrEXjEeLXW6fVdWp7AsudZa6616T0qbr81udE9ji8TEYkHXbMtjmfVLe1YNaWAvLh+aD IIFBI7cyPpHMG/C7lLgLW3ibKPLMWEImXFrQSYc4TZnU/PA+pdMPjDR3rF+fi22Hl+0WJmFBFR2v wPhdis4za/McDwpubUX1eaItUwACkYaNKjd6AGpoyxPlOsRls9Lk44AXegkr5HeeJ5AxZViVdP2H 5g4rWDAyVHyiMNQX1rUBFkaW59qijMezh8oo5didWC8ey7WOyAl3/GvLKJOBr8VFUTW9Md+Hoq5s LH7Ku2Zs7vzNBLPv5p/uMtjvzSWAwUqL+UFP9pmSlK0mllM0J6GKzG8vq5rTouiw3dWu67TF7Dw1 lbF7BrL25fnt+fP/J+1amhvHkfR9foViTt0R21viU9RuzAEiKYltUqQJSpb7wlDbbJeibcsryzFd 8+sXCYAUACZcNbuHCpfyS4IgnpmJRCb4hZoSD5R3s1A6DAjXNVRJ9/xJYSbbICr2XlyWjwFbMV/S 8LRnV7hdlWWS4TEbRuX3gFYT5evKdZy1YFXKU2nZ0r9+FHUJiCIgjNr7QGULFuRiw8LiALzNq6xd qDNLFLXZIKGyeBKoNaHtOta7w2DbbJjgHaftJr3r44j1fa7fPYbeGMWogSL6DG6g7mTU+NAlKxZS UUGKBXM14g9bwwepTdxAQq4y2cZNLt6glQFwklGeyi7ds/m/Ibk5hfRWpryZeZJAuhj3Do/0tWXL 7iYR+fX+4epvNLL7XWfI6f0COlfvK4tkLOBdFs720yn0jKWKexhTZscJarJYaaE8B6Bi/5i2k1JC MXRk5gEoRd/DqTVkZGON2DYNgjYNDJjevVL7OI4vKebWp77SUqNyv3Wd6bqStdJKhlyoTrj/pN2W bCiwx7GH2U7sQeIY42F9IMm62eaf47lY0TSPnM8LriNw/p7PPikcmkSk3tIXZ7DmQfg1MCqgY05m oIufD+/v+IJMYqORmWCy0eLcAfEuMbiaYtByN2xT/K8J/9amZLJrOnns3sBje3J6ndCYZpPfPy6T RX4DS0hLk8nL4Vt/Bfbw/H6a/N5NXrvusXv8b1b5Titp3T2/8YsFL6dzNzm+/nHSay/5jEVVEM00 1SoEmrEmYWnPkYYsyai1e3jJJBy2RFv7s+fLaOKiPi8qE/s/afBq0CSpp3NbLQBF8z6pTL9ui4qu S8sLSE62CcGxcpMa+qmK3oD/ra1mUj9vWSvGtmW252VLUrtdhK4e1obPJzKO2gUjOns5PB1fnxQn Z30mJ3FkOVrgMGhRrOOtDPy42B6PkZfBp16ixje9ksXBIq9V9Xy4sKH7Mlk9f3ST/PCtOw83v/nc LAgb1o+dEtqCz7+sZK2f3482w7sYk0wl5OqVAYpWmdXh8am7fEk+Ds+/nMHoB2+enLv/+TieO7F/ C5ZejJlc+MTsXuEW26OxqUPpyOzi9B1kU6IpgjQ1099YF1DKRBmmyo73+6FckBcyJobhTrO8o9YQ DyXFLc39hmAkVh8GEf9AdDkEtUjNn3qlKZbWMXY1/I0xM0iJApGsjomRqlCF6xuPbWq2OSSYhB3P UkK89nzcN0JhulszbXOdEtuAl2wQZFScSaZmJFD1jRXbYzG9VuWRK0QRoa2SFlVqrtsCWTZJxtqz RMFdRnVXKQXLKnL7vWZAbZhqtZJVOhYHDbBVTShqzSPH9VwbFKiRLNRhxdZZa99mFeaApTJst2ip N+k9rcimrZLxGq5xfF78TU7xb70pF+CYFeMtVcRNu3X1C8QqDCe5n7+4KOlspp5qGljkW7D99pOB uyG7guD2GoWryl08oJPCUzZZGAX42L6NyRbv69styUHzw9eQKq6ifYBjZImvLgC0FUmSNLEsTGld k7usZjOaUpzlvliUuaXFGizNkjbNF2n9K1vz0aLv7kbKsGy+Sr+XpkLFJmOCiaU+8GBsMbkpbHuw o7TFd1a7u4yuF+XG0rJ0a4RcUTuywc81FZZtlcyi5XRm8UdXK4vbq9Rl2XTdGHY5XUVHrmZylavI zABgOuribmBcd0i2zda+1u+ouYzn6aps9FMBTjaVzH6DiO9nceiZGE9FPtL/Em5Jsul+sHEwZd0Y Vvzc7HqrTSKc2hZLpqkS2sCFz5GGkVH2Z7carZ9oalCuL9VkE6e7bFHLhFZq1cs7UjNxxyDrF0R5 b6xp2giNb5ntm209EhwyCuZx1DMX4Hv2iLH6pL/x9tkbexMo9+yvGzh7wyi0plkM//EC3c9DxXwj +KfaQtnmpmXNzSOeXeVTGK/V12/vx4fDs5CVcfmsWisdtSkrTtzHaaZ5xsh8i4wZcEtNeF70nWYy a8h6VwKoFjYQuUDdLu57o5alXBA8Pf0iAVdockuqyU8+XS9hRZiQgfpb3ldqWEj+s23iSpskAzXG UxcKfAk9O8UXBMGxBY3eUgemFnmUykig5pt5losIWy4EA23Yu52Qx6sYxkTz7a37JRahpN6eu7+6 85ekU35N6D+Pl4ev44N/USbEFa8yj39U4Gm3Af4vpZvVIhAn/PVw6SYFqFOjESsqATfH86YoVQ9T gWx2GY/vP6BY7SwvUYdczfSSlt5ljaqwF4WeivaupuktW9HRhLkSHTvKMfZ2kZcxdr7EQ2RviZY1 gLHLea0VEdf3VVOOtikRh1uE4v4B+yiUZEv7BxgTl9mfzHw5BQ8zVlv80zlHso4z/Ss4qZVumJSp FhTDq7xZFhhQLlltCFV3HB3kB3c2sJk7FojpyAVdx6NP5Dic77Nt5rOPlC6kGLlNCoJBS/irhgG6 QkWWL1KyNQaAmakdxkSh+2jpXYrtVwDsthBiSS98K75eoyTrLGRzwOCMb0eduqa3Zs2KBhva10/c p5sS78TCSCY9IKQIAzz4dZEWlAmp2BvhjEUeSksKP4vgHpDqa67U1uZHoLDwM/+4zHXNmDMsapAV NiBnre8grsVmlY69qhjreF3jz5MN2yiCORkVTO5cPByleG1chJ4a5vNKDUxqrGcmE7R6OoUoQP7o vWnuBO7UwwP1cA7uEjo1CuREFyN6Y2LoI5zhXE1/yKlmQjhO5N7We5MVErMFuj6s0m3ujZxHHu3p D/KU0vj4G/AAiyQl0WA6qiMjBjzpnzyZNDE9vNaVbB0FgIbjbwZHVNTXvEeNvNg9ObLEtb02pMW9 dWAIvU8Y+mS/DWlQ54iBKTAHV0Jix/XpNArMXlddjzlFTXerTY3EjaajUdd4gR6bSAy7ce5FY24y Cd3aKU1MIJGa8aomj4O5MxoSSrpLozvY1An+slcho56zzD1n/kmDSx53Pw52dV2Q+MHQ78/H1z9/ cn7mElO9WnCcPfPxCjFSELeHyU9XP5GfjSVtAdpJMfoikdXd1mqQ0ne0chX5vk5Xo5IglbCtHAib vbhX3fBE8/O075apB2vPqL+uKfbELZbnw/tXHnW/OZ2ZMKuv6EObNufj09N4lZdn4eMtqD8kb7LC 4lSjsZVso1mXmPaisTFl/Mb6qqLB1GuNZZ0ycZSJJI3ZKBJHbgVpeFxtLQiJm2yXNfcWWHey0L9J +kDw7uPtfXy7wLHK++QiGv06YDfdRaQlgqhafxyfJj9B31wO56fuYo7WoQdqsqFw/8zacCLP2Pfa riKGU6mBgtu0dRYMzSTT01sGS3OPFCAk7GwBAVO0cy/iOPdMTiFZnqeYK3vvZX348+MNGoy7s7+/ dd3DV1VtYKI2udlW+iC9OkZhT/dVS9kCzsTxEtxQaFxvFWMIh0YOPHUTw20/9SuAxKUxdJYwoRtJ 0SdumxdksV2OHWvo/SaGq3fKUkHvOFV9rXi6LcpdKi8O2t4PbDa1SsJ9xDKKvIHNOYvXmfEBQ39v 9yOjG5jZNDvgOvH9WTQdLXySfiVkxQqC2mWZbkdcN05445lXkVxs+674HU4hATMRnVLNpaCSQY/K ZsD+/vdrobLibO9g6hnuXKayYBNIwblIrxjctLMupoxWkGxwlW6y+lYHEghzhgFVvVWN+3B/rpVp sXSqPm0FhX3xZot+0y6p8LPXHbeSmc9Jn7GH8+n99Mdlsv721p1/2U2ePrr3i+auN6S2+Jy1r/iq Tu8XuoOlJLUpxWRcJsOtxBXPvvEhellm/jaPtweqWMr5lMh+g2Se/3CnfvQJG5OTVE4lnp5kLjIa t59lNJN8GSU/wlbFRZz9ECc/ch+z6UyRq6ZpV4gt1TQ/idyIv2wFHPV+xtSY94v03tDlD/Lw0D13 59NLp2cUIWyZcEJXNzRLoj9FlxyjKFH86+H59AQeDY8yUipb7dn7zZfNIjUiE/vtRlr0vU/LUd/U w78ff3k8nruHC09Eg76zmXn6SzlBj+rTE0ViGLM633uZ2AkPb4cHxvYKOTgt7aC08MxBQ4YxYOaH ah2+X66MmwIVGwLV0m+vl6/d+1FriXmkauH8t5ZmwVqG8ELrLv88nf/kjfLtX935PybZy1v3yCsW oy3P9CctP9EPliAH7IUNYPZkd376NuFjDYZ1FqsvSGdR4KtfxAl6ep+e2JvMhlFsK5+/vu6YrAIa 0A90pUsd14xh1ieK+04xg9szMnMV6UqsqO3ozpacEY/n0/FRXdt7krEksy2WqHesVrRdVisCG692 lrLJmD5GK4IpUnB1fmmGFmCUlkDkjNC/YRus9TG4Cxp6/kzpMwnA/WV/utjgwCxB6YFnoSP8cFHb CT2k4vIKt73SgiFAi/R888L/FbHc6O8Z/MhBi/T1uB0SqeKEjWLc5iRZahJFM8xhUeI0TKYuGb8U QrE5LkJPKxog303XjqPeTO/JNHHcaI7UXcQB+KxmnAEv0vOQmgE9cLBXjaObYCzRHIsbIxkgUopx japHcsjt9mknbGPHFjHqyjGz5OjpOaqEFTJDT3glyx3XFUvVO7yXymA61+qVyx7oo5eMEeMOb0+2 3wQbONAkwle0rBaad0qP9BcXRwXargT3eH++/ymTCC+VwOk0potkvjdk0Fkd3v/sLpqva39VWkf6 p/dZ3pJ9Bq25VCOKZGmewLu1VNvrAoz4UCfaGjI03H2XmJJUGqkulFHV5VK65fSfKkN4jCns+yo1 4fyajYV0cPdXNJJx0ndB0LfPnlhXBV2NyZoU1RNZdZtyTJaBvTWZVkJ8pC0I3q09026BO6v2OFco 0KjcQ235/a71doHVge15nz5s+ABwMhPwK35bdqV63CiQGU+oSPOcQIy98f2LNdmlbZwrs4X94LHA y/JmW40ZWTunlTafZaJrUYiqOEiqNLPbVJaeSxieLdGpdD62W+HRwxS2+iaaYplWFBYaVxn2GUwF DEQELRwKrJDj2xDftzQOw9AYIQpLnMTpTN2oDEyLaaJiPKNAG1da57bNXR5OdQlCeYgtM/B3leIO dwpnXsbrDVmhApvCVpG8UK8nqZB6WKLQdzH+QQumwER6FgYFXWZ7tvwWBXqsprb4cONWYun+fsPm Dtkm4JsGDadf05M4Q8otZunuoy1pE0HDXDsG+YMRjK342WbPWmKr1mR9x5a+jem2IRSD59PDnxN6 +jg/YB4rYM1vS+XqrqCwRXORasOD1jFvwxGxD/qqdRq/eAE++2wDaEJ/oemQWI2GB0mWL0rl8Ani nxdr7Wslqd1hBp8hF7zxUJUzsbotWNmYopsz+YVwVH1GVoZ7uCBPZax/topJWOzhoMQdHyYcnFSH p47b/ifU9FgST4PFbtXISwEWpM0rojnpoAyDzRadn6NHWCPuZrgZ93ufoNdTbnRmB1F41hyMdfdy unSQ+nw8FOsUrluzgadsa1caW9BSLcUsUpR4xdvL+xNSupQYrlZ6ILQbbI8VEA/9tIITQqU+BgKE caHCloqr4FrtFKUaIt6Aa/b4uKOMJz/Rb++X7mVSvk7ir8e3n+HU4uH4B+uixDCsvTyfnhiZnmLN AbjXxBFYRDk7nw6PD6eX0YND9WImx8YFbRboZ6HPCzvNvvqyPHfd+8OBjaDb0zm7NV4iX3G7zeK4 TTcrLQjiltFoXt5pFM2K853yxfnbfxZ7W5uMMA6m/B7UJD9eOoEuPo7PcGA3tDzSShD/f8/bCpeh h3f+eOm8+NuPwzNr3HHvyOJQ/G9K1yGxJICsO/TzEvfH5+PrX7YXYehwsPZD43RYpSGTzW5Zp7f9 uil/TlYnxvh6UoeGhJhSsetj9pabJC3IRk0ipzBVaQ1bALhga+dXKgvofJTJrvghmcIJZ/i0Iqib nVYioTTbpeb3JOZAv356m+7EKe4gTzTx9dA4/evycHrtr/SOihHMLUniVr9zIYElJUwc1qQ5iVgc jCTKxGjHD2Yz5EG4Nu2hl1CvDExU1/1UVCjycVcVySMkQnvxVbMJHNXlRtLrJprPPDKi0yIIVE8a Se6dwZFaMijuVazPasr5wH/ZMNWpjn9ljen7mSpBsR+tCNyG0dp4gZI1t02dbi6fCgo+f+WGbgvz ZTdgOwAunSyP8JnkjNVQ/HdJ0WdGrPytFKblwOKqLPRuFPNRktESr1XrJxB+qmQeIaGeZj2mBJgn yT73Zu6IYJ7SCKJmoFgUxFEPq9lv19V/+9PR71EZQNNetihiNvLFdUycapahIIZ/bkLcyJLJgXi2 0NoFqRNbBiyOWXILA2ZJqcIHhzRniIqKgMtIJ93saaJ0EP9pfpYgQsgW7Pn4V8gLpK1MRey5lhtZ RUFmfhCYpY1wWmF3IwAN9eifjBT5qBMmQ+ZB4EBcPWX4S6pJUHPT72M2SgKNEGqHtzQmeg5h2txE npoRHggLoqcc+/8cqLLdeVUQCJPSaIfFJJlN506N22bg9NEMEKlAc6zR4Kw2NM5uVRd6/ts1quDO MbsPA/yZXlQ4DY1HGaXNlkwG4OkJmFyHnSppfMZSwbbF0PgdtXqFZ/pmDZQ5vmAxwNMejaKZ9nvu 6vjcnxtFzy3emCSZ+yEWuZctk9wERBL1NHNfudP9mBZFknY1x0C+4qkDZMwIA37fejEJmcMCtqo0 arrZpXlZQayPpk+VMezMwlijsq8zJnEoM2K9n6nx5LMNcfd7s6rC69is6RVuYtef4askxywmSI7N 8RVUYHjcW5DHpq4dcxzU/11AipsqEFw9/D+QvBBzDwZbaqinyyriigk7mPEEEF9PigakuWUr4efG kBMLfObDqWVIFOmm/c0ZBpKkbsh2pjlHC5HRHCZcQd+BaGx6k3GkKiJIbbIvjZ6vN0ETOvaupwkX t4syEY7bqLtRwUanUW7Dp83UyAlngPqNgJ7q0ymaw1bgjut4ShdL4jSijtpGPW9Ep8GYHDo0dEOD zApwApM2m6uyt6BFnm7AltQwwpZaWTT3j9cLEvc3tT6EjCR57Aeqvb25y/2pN2XD02hgsFx7crXA vdSWoWMbatKkuu8L/Xe9f3jKWqbT60mmQbqpU7YHW6Ixjx+WFpy3Z6YxjwTYyAuxwCDrIvbdQKv2 tQBRwtfuhV81pd3ru6ZWkyZnU6day4MoZQnnQPpbOUIWRRrq4i38NkVPTtPP4mIa6ctJRm5B4sEM uAWdTXUXMBon3rS18EMdsxoycdBV5Wl7KK0omgRr91s032smabORNAVGO6+jvaSGyrGSB1f8RiXl EMJxs8oHo8H6+CirwJ1wRBJm1QKDM6jvKOhQvOgWYUWkVf+cUqjyGGO4HkjintOjIjRdrTFei2Pa qDAw2a5/01KcnyYHMVFs/k7BFM26ywAvNASqwItwL7fAdzVZLPD90PitqYdBMHfhboEa9khSjTcG cw/bJgCZar5iQej6tSk1BmEUmr9NtQeo89CqqTB4hppsOBAZJc1CXOIMRO4qnRVbjwCYTc1WsAqy 3lQTVKNIy9pXlQ1cqFIo1Pdd/SJgw3awEL0AyGSqUPUwLELX036TfeDM9N+ROg6YEOPP1CNUIMxd c59mNZxGLlz5wrc8hgfBzBk/NbMp2xIOHUz1ETuZaBbFV/KT6TJ44z5+vLz0Yf9H81/YVXmSAXT6 jwoQl40gpFj3+vBt8M/8F9y5ShL6pcrz/lhCnPjxY6XD5XT+khzfL+fj7x/guqq5hAau5qL56XMi 6NrXw3v3S87YusdJfjq9TX5i7/158sdQr3elXvrKsWS6Ab4eMER2mKzIv/uaa16ZT5tHW+qevp1P 7w+nt47VxdypuY1qqu68guR4xhIniPjM5HYuc03c19Sd463AIF+/77coVo7l5uVyT6jLVBHU/FJU W2+qCo+SgG4Vq/u6bD3wasIhCN37CQzX6ky4WXl90jBjwowbXezD3eH58lURmXrq+TKpRWiG1+NF 76Nl6vuG5zonYbsTWNKnjnbVXVC0kBXo+xRQraKo4MfL8fF4+YaMoML1HD1337qxLD9r0CFQTY8h 7lRNKrhuqKsumeK33q2Spm1t62arPkazmTBlXSU3RjFN6/2Hmx8p1je2Rlzg6udLd3j/OHcvHROr P1ijjaaRZn+VpHBMUlMqSpIu+WZOOPo9uOzrVGqGghkmTUmjmbD/fs6AGxpvin2o2TN2bRYXPpvk U5xqTDgV0SUzhrA5GvI5qp1YqID+rSqEV1dO05wWYUL3o+kr6eii0GP/W9mTNbmN8/i+v6IrT7tV mYnPPh7yQEuypVhXKPnoflF1uj2Ja9JH9VHfzP76BUhRIkjIyT7MpA1AvAkCJA5Ofuy+m5Iz8cSK sAvAuW09+Bho//ihHWdV1p9+d1mM9EvYVEMHugg3eInDc06R4sYfQgHj4hw5RRlWVyRWhoJckYVc XUwnVOtaxOML9sxDBL1/DDL4+JKT2xBjC1Lwm8Q+gN/ndDcj5HzOj42tF7U5pSRro7MqJ6Ic2Rcb GgIDNBpZj1edGlKlcLKNiYhLcRPukkKhxhPS/i+VGE9YaUyWcjQnrMyodm5AiVrOaZCodAvTPgs4 XREOAzg4nOMBIZYWkhcCzdh7QFHWsCBIFSU0W0XI4Ie+SsZjNmMaImb2S0K9nk5pMkHYd5ttUk1Y oTeopjMasEOBLlgHvXbAahj3uR38TQEuHcCF/SwHgNl86kTemo8vJ5zb+DbI03ZM+1shBZtyfdhG mbpT6mvTkAtaQHo+ZnXKG5gNGHoiRFLmoT0kb78/Ht70WwvLVtaXVxeseosIskbFenTlXLl2h5B6 C8zEyk5u1gPZl0OFINwWINOxffhnWTCdT6jBaMuS1ddKCjsx43EWzC9nU3/vtAj3gHHRQ6eqoZMZ rNnhs9UhGyrtWmQiFvBPNXcfC43vKjeJenr70GLe3WC24XNOkG9a0ebu5/GRWSTdQcfgFYGJ8XD2 B/pzPd6DZvhoxZ/GZsRSG3z2D+2klSo2vNyUtSEYONZr5NzoYTFUkLJn5wrpusE3tj12H0EUVjEt bh+/v/+Ev5+fXo/K85EZkN8hJ6rX89MbCAdH1nJgPmHZVljBxqfPyWI/n035UHoKxx6mGkOsbfCa Ac4t/qVlNp66zzLIA4eIR5Rr12WKSgY7/gODwQ4UTNAbNX3LyqvxyI3EPlCy/lrr7y+HVxTOWOa3 KEfno4zz6Vlk5YRK4/jbZWQK5kmMRthYCGkJtmEaA3e37cnKyjny4pKNBJwE5djR5TBv9dz97bKz FjpgQlCmU1pGNT+33y71b9rjFka5NsCmF3QEKpSxSAhgG8rK3xpDSq7nM/v2Li4no3Prw5tSgJR4 7gFo8Qbo+MN6y6KXvh/RK5VbLdX0ajpn15//Xbv2nv45PqAmiZzi/viq3ZqZspVMOB+QotIkFFLZ fjoG6f1MLzAYOPfUQSITyCW6W4/I/WIll+wFQrW/cgWy/dVQkmUshGMnKP5MR7Z50jadT9PR3vU8 /8VI/Z6PcsdRJ9WVcwmFPssDvOMXxepj7vDwjDeEA3wEb4KvLgeeuZOsUfGFi6DYkLD9Wbq/Gp3b jjsaYms+dQYKybnzm/DyGs491uxMISZ2QEixn44v58TbnutYt3Zsdwv4oU9YIv3vshOJvhEr6ixK mzgNwgB//4KuZtN7IL533iOfLSsM4Z8NfKTC1k1pH1RkNjt2muqYb72swPjUPlB2vUtpGQBok1Fq kUp+Pbv7cXz248gCBt1WyPqEXiTstaYI0WtEh2DpxTG37K7oEvNhkADEXWj/IqjtNBTAbaPasiJ3 Ma0tfvvA7GJRaEub1c7uhMbUCRPcTDPD+Pqsev/2qgy4++FoE13QOMwWsMmSMoGzMiZxnBZB1qyL XKiQ0kOOr/BxG7+0qQspiSW0jXQLt3E6pD2/bm0ykW75cKRIhcs0yfaX2Vc3ejQhy5I9jGrX34Eu lXvRTC7zTMXGph3qUDgqXo+UCRQfvVrVLsoyLvKoycLs/JyqsYgvgigt8C1VhhEb8wholPGLjttN W2Yh3EYb7662zRZGhW+ejMm1Ol1FVgvR2h46yIqpxP8VfgJnCPz1eXjB5Drq3HnQl+Fc2j/0PAoC 3kURcWW2YY+ZU8Vbm4hJUtQHvDDV5KEsqAt7C2oWSQ4cA7Z7wDbCDZQRCuuSNN9mUeb89Hm+Bkv4 n9fQeHf29nJ7p8Qgl+sBL7VvezLtNI0v3DRCXI+CmhvW5xEo1CMiLa8qNjLoYrqxOCaUn4VdYjYh 2z5c8bg69iHNioVWLBQWNwMta/LE3sGZ09Q8SviDa0rFoCb0OFG+hiWuA8+mpb/5h6+abCU78mpA U+gIWzMmIqN3yCSIZqMBXCaCeF9MGKwOXWDdKOu2YEa0m6jHdo1um1BiDEQtTw3EvsDCZbQaSpir 8CEfusVOQgM/TK7KJjcR1S2czgDrObxwNHyKSIvADeCNqIokE1eQReSEYgBgEdhKGkZohpHZ968K dgR6zy8OQ9qLcHVxNSGrqAVX4xkr2iOahqhESOu/y901eX5jZdYUNNl2lbD38lWaZFSoAYA+UoJa pnR7Sfg7j+xUQbBOaP5BkBgxOU4YUoGy9ygGORRO9hLzYfDqVuH6wJp7COpKpQ0YjhgEUp1XRGnY CtTrQKdbVmjzzcdxBVzShgVvIdG+njS2W0wLaPairsmlmEGURZXAVAbcYjc0VRRsJIlFCphpQ1l/ C+IL9KhMkXytM7cPM1Kyj7JaaFc1G4wz+WURWvIE/nJD8EGp2SIA3mQxIBklMBOAoV3vwEDMBlvv CJQrcZLbO9Qqs5slBsV03kb7U/TFNNP6bRfSvy4NTAchGFbk1OeYfRwjzXOi395pCP5undab7YzC v26KWlAQ22ZEsBkTEVHkcAxEXfxU8lGLw1ghbAI2pNkJmbvfDa2j1bKaOKthUes5YajzJO3ozTKb eMtJgXBI+ULaL9zFYsDMQjEof5EojFq1XBt0VMkk/wIcM2FDiZqSgduqK7qERqgw6PSG8/jssTO/ rQC0Ey8Y8E1VW4fgDWgkzuoa4hO43FyGpWE63wicNnz0Sgx8izFF1knOLQD4HnQ8TDdCsogRMAgu Kzq6BJvoNal+8zVsI2faDIhhWi1isUngoM/RJSoXeFbRULonIvQmGucFD+9bL058rXYw0wsFD2pr TjCz9bKirF7D6IRCO5zFGfCZt9oYsvbHBYxGKq4HYMAGwkTC4m7gn9MEIt0JUDmWRUqiAVikqFvt WUwWQc+L8trIW8Ht3Y+DJWItK3PMWAtEgRQXGFiWLUUMfLdYScFdcxkab5FocLHAjd2kJFG6QuGa rziYF6e2x3QNsSW8tqu62+Efssg+hdtQST2M0JNUxdX5+Yhne5twaZaBKZwvUL8YFdWnpag/RXv8 f147VXYruSZLI6vgOwLZuiT428TbDUDmLzFA82x6weGTAqN8VVH9+cPx9enycn71x/gDR7ipl5c2 s3Ir1RCm2Pe3vy67EvPa2ToKYGas19ERKne8iHpq2PRFyOvh/f7p7C9uOJV0YzdAAfDGz973CojD hqnrE+JEpyOtxEkayshiputI5nax5tqhE+Hxn/4YNXcqfkttcb7SMc2hrDrK2MM6tYcyrcz4c5OJ aLMampn94EUwF8MYak1BcJesyZRDMhko+NJ2yXUwF8NVDpjZOkTcy4JDMjlRB/cm4pDMhhp/Ptgt 29PVwVwNYK6m54PNvPr16F9Nh3t5NeM902nLLngHZCQCpoiLrbn8dTHjya/bCjRjOgoqmD0FmTrH PHjCg6fuIBgE94Jo4+d8eec8+IIHXw3VPuaDfhCSX7Vw7DRxXSSXjXRrVNDNQFGZCBo4ruwMbQYc RJg1i4PndbSxzQQ6jCxA4xK52wKFu5ZJmrIvRoZkJaKU3qx2GBkNpKs3FEmAiU05E7eOIt8ktd9m 1fmE6z+Ip2sSvhMR7ZnYm9blCS5i9tgityja4exw9/6CL8ZeNgtMNm0fLdco5X3dYJZTR9svI1mB UAOTgGQS5H87d6fcACo0xfVahZbrWww7koBowhgUjkgKVAB4KqOsYaqFSj2g1TIJ+OhqhnY5ICuC noMSvb7LZm/NoSGBkvgxM2QcpaV9JcaiMUNL/PnDp9dvx8dP76+Hl4en+8MfPw4/nw8v3bloRJa+ M7Y/VVplnz+gj839038eP/57+3D78efT7f3z8fHj6+1fB2jg8f7j8fHt8B2n8uO3578+6NldH14e Dz/Pfty+3B+UYUU/y/pG8/Dw9PLv2fHxiBbYx/+9pZ4+QdDEolLKRrMVEhZsUpuEM5ZYwVHdRJIE 7lFAGB9QIHNQRjn7nJ5CpKlVDVcGUmAVA4pZgll9kKgIrDQ/Q5ViFCbYzjQhUH/5yo+RQQ8PceeQ 6W6x7g6lkFqnthU7lUSGBhnRsCzKgvLahe6JQ7AClV9diBRJeA47IyisMMM69Wena738+/z2dHb3 9HI4e3o508vTWgmKGPVzQWP3WuCJD49EyAJ90modJGVM4+EShP9JTFKyWECfVJLMIh2MJezEV6/h gy0RQ41fl6VPvS5LvwS8GPJJ4SAQK6bcFj74AebrUtEjTW4gSrVajieX2Sb1EPkm5YF+TeofZnY3 dRzRhEctxg15qbWk928/j3d//H349+xOrcDvL7fPP/71Fp6shFdV6M9+ZL/gdDBF6DYnCmRY8SYJ ZuVlnC2Y6f5GbqPJfD6+MjtIvL/9QLPJu9u3w/1Z9Kj6g6as/zm+/TgTr69Pd0eFCm/fbm1t3pQY cFcTZsaCzJ+BGI5hMRmVRXrduhi4ZYpolVRj1n/CdDL6mmzZ4YkFMMetN2ML5euJZ9irN0vBgpv4 YMk92Rlk7a/ugFmykR1krYWlcufBiqVPV+p2UeCe5swyezO63knW/sFshtgabmewQxDa6o0/UXjf uzXLJMasfwPDlwm/nTEH3HM92mpKYwh8eH3za5DBdOJ/qcDMaOz3sZPJ1qVYpGIdTU7Mrybw5xOq rMejMFn6zInl6ycWeRZyWkmHZD9JYHkrKyE2zFHLc7KQuA6aHRPb2TB64GR+zoHnY+awi8WUaVWV 8RqYQdcgpCzY3Aktxa7UtWnucnz+QV6oO57ALXyAOnFG3XksdjR1gIPoQ/h4+19g/PqEu+zuKFCp cEIAWThuChE+EGu+PR5Y+6oWuVT/DrJUbnIiWYKGc4KTZjOvvHpXsIPWwvs+6xl7enhGg2oqg5ve LFNhJyE1PPCm8GCXM24zpzcntonzitRC20ckbTd8+3j/9HCWvz98O7wYX/8jDVBi1lJeJU1QSvYd yPRHLlTwqI1XqcK0XM+bU4Xjs2vbJNypgggP+CVBLSNC+01btraESfMKbUvJP4/fXm5BJ3h5en87 PjKcHD1SReRzPeWpqjmisc7kZqqnGu6nkEGskzoguV64bH0a9YvqNNGJ9YE0nchjFXaKjEUbRg4i XXITfb46RXK6zYbsFBPo+9bLSad72XFyt6h4x3wI+lWWRXjhoG4rMNsHUb4Mstws0pam2iwGyeoy 42n289FVE0R4PZEEaO6ibV3sZpbroLpsSplsEY+lDNrDmGq6QqwiLkw2zYEqLpQgj5/zNyzJKsck OpF+D8ZHVtXihLFlDtDx+y8lML+qpNGvx++P2or+7sfh7m/Qpi3TR/X+YF8nSeKV4eMrzAdKsdG+ lsIeR+97j0Llk/w8G12dk2ukIg+FvHabww+JLhl2NOY4rmqe2LzV/caYmCYvkhzbAFOe18vPnev7 EG/StwD27YCBNAtQ2YDlSis8NT61Cwkk+YoKDGgdzz/xLxKQUDBtpZ0sqrVBB+ElD8rrZimVCbO9 6mySNMoNtt9/hQxZOQ06nkWgnmYLkjRVXxba5vadIXyQuIZgio3iy3mQlfsgXikLBhktKQMIQDuD k4LlHMGYyH2wiT25NmiSetMQcSMgnvn4s8sL4cGBc0SL60unST2GfxNpSYTcwSo+QQGzxvfrnMgz Af1lZzdPFr5eEVjvtFqNsCcoD4uM7TGILp2NDIWipaoLv0GGDeczlYwU1JOXQFBiSkYoVzLIQyw1 SEk8nG8fyE8MuQJz9PubJrSzRenfzZ7m9muhylbftVCnJIk459dGixeS9yXq0XUMu4sz/9IUmO7R b+8i+OLB6DT3nW9WN0nJIhaAmLCY9MaOrG4h9jcD9JaMbHiBuhwW5FVdGb5uRdqgomWfz1URJMBU tpiNRdrZsfHeGxhKlFEQifwOP9BmqgfkERwYCAVGpJ4M7Lq0VKeKaHYSnRWhGwsSLD5UoZuDVEhE xhF1yelKqKJ6U/q1d/ga2HtY7HKfBAF5kZuyMaZ1SbEy0qDeTgqAQcZfpyFOlMkJ00gzGN0xxD29 rFI9Z9ZUpsWC/mI4SjffKlk84WnpTVMLYvmYyK8oVnI2vlmZkOgz8GMZWvWg3wiaysMpZvtUoE9N kTrDnxeIUDdsFikwYjLQ+I6Vr+wuWZ6yziHv9lazQOVkklRq3Ha9V133ZGFELAV9fjk+vv2tPUcf Dq/f/RdBJWisVeYpIhBocCAGchEG2pkEE96lIB6k3QX7xSDF100S1Z9n3di3EqlXwsyyJsVE8G1T wigVnMV0eJ0LWASucRYBO28vIJsvChTdIymByslTgvTwH8g8i6Lin1wHh7VT+Y8/D3+8HR9aAe9V kd5p+Is1CU61qJZypmwSGqktc8ejiTU+uJpK4GXojJTxz58yEqHOOVVxV9FxhH6UaMAHTMt+J9AN qrTxK1oMZaIOrPPexajmoYXxtT+ay0J5EW3yoDUITTBCCXvDqLbSTgCD0p0uC8XAbRs0G+62V9e0 i8RaJbwIyo29w357Yv7LTibW7qzw8O39u0rLnDy+vr28Y0gr21VErBJl7iUtWdwCdg+RUa4Sjo3+ GXNU2imVL6F1WK3wwR6z63z44HS+8oajZRONnlp3Wir1pKQIMvQE4fk4LWngoVddWqjJW69Ci6P6 v0w3gs4drbcNQLR63WJqUMg1KS1ccKPaF4cfRNcq1TVXIKDhzzrJN3DmilpUeGEUJ8HnkWV4sagE 98YMSrPI4f/FtlnIYh2R1+XfWjl0ptDKL2LmCE31PB27fb3uyrW4OXJUUHcxLDO9t9XFIV4duOxU q69BehgwfVZo2HhVkQ+pxX0twHiWJ0h2fAoEjdS2udwiUMusHTE4B1PY6H4nDeZEDdrgYIMHEK/e BzHIc5oqysNB3xZd2jbzG7HN1NsNGtWcaAdQSd7rucOXK1B6Vtxg9HKlpk1kvREeCx8A6yRJylbC Ra1RbENB2vsoTlaxIxh3215UwrcfUVDmZlFjd4XEWwfgKUCV1MkNRu8PW/XJtdXoV7s3mTG6/bub RNGfFU/Prx/PMHjs+7Nm9vHt43db/oGaA7QWKYi4TMDokLaJPo8pEkWmYlPb3KIqljXeNaCM3ibJ YBcNopoYXbuB66ztUdbcrEN1lYwno+5GBoQizISSWWSqRX05gyRuT3ZfMX94EIfFyh7y02Onbczg /Lx/x0OTYUN6+zgSmQZS/y8FU3b+dvVc2e6k48Cso6j8BScCpS8rfRMF7JTFl//79fn4iG/g0N+H 97fDPwf44/B29+eff/5P3yvlKaPKXSkZvss92snMxbbzlqHCNCKk2OkicjjhhpqtCHBABpmNBN1t U0f7yDvtTRpab6vz5Ludxqgcj8qezSGQuyrKvM9UCx2lDWFhVPpcsEUMdkYrcNCCaOhrHGlUNI3G xDFC1STYa+jp41xK9J20Na5u9S3JZ6ys//9ZKqZW5S+Piqdi3X7HDIa3RgzWjr+9Eq3ROm6TV1EU wi7St23M0aePzgFm+LeWR+5v327PUBC5wytoRg3BC+3BKSupy0y79FYuRHlJJVpy7/U5PNzzJgRh C1UyjG3nuaETFjTQYrfBgYRRAUlOpH6MCBlsWElJ70mayrkDDg2Bs8h6LQs+UelGmHVkkQwtNosE xCarJOt+FXCgzjRKTeuOhcnYqUDyuTIRF331PJhUs5VlbbNSSxaUpqQIbV5Mh88T4762KpdUytbg otFehiCY4gWG1Su8zs2D67qwrkhyFcgQWmNpd0rO6BRIFmsUfjdYBYNsdkkd48VO5dag0Znyi1e2 lTJ0SNChR80AUiot1C0kaD/UpfRI3WqMNdU4TdS1BpR3q3siN/2jyrmo6Mk7GaoxOLgVdAxkMXd8 2lMQL8LYZnvlmRsnt6CW0D/6ukEnVze4Ss03vG02nVFeFFdC+AkC6BbIXctTJO0AnKxGSSc+gZnZ HSzVfjz6Hui5a1cFx9Dbaa9yUVZxQbiGgzJXFjCNrLWarmoBvB/mGFjVEiN+EEGD4KIhXd2gRQ5M WuBLp/7OeRI0VLDYDZ4dubbSE2O7SNcqTIhKH+owqF7TVmnv9QrnxtFsYU1gX+blsJk7KB3cdsNo L+6hIVXbgTyX9jy134QnL7JNZSJVd944cNwqqYXE+/sh9m9VZpMONagLk6H2mUr8OOBN0Q8Rbu3h M6oSmIhkoBB9TugLaO+UvX15IKds95kK/FSHm6w0yeqZnm/ynY7O5F7uWQ4wLcXQ85Y+Z1y3bSrW MPcr1TRoNjDUAzlZCc1AdlZCwweh7Ggms/Hod+rr6H5RZ0fHhsnVsmYQhUHA9DzKkrgY1kTMmKni m0vHu26ADEPccnFq2tlBkiXeIuKBJQvvfgGKSfIg3YTR5w/3uJo+He8O93d3f1bOVSecG95Daw9z C3l/vGut8P780RUUCZm2dhZr+ySFAjCeMgNC84l1hQHFmgr/sseUEnU0TZ2xxqgdtSYqkw1fmEJH 9WI75nwbLTodqCuqs+meazmeKp4vtIWunfjbrfBHd7X9zlQfXt9QHcJbgQCzxt9+P9jbfr3JWRME oxbg00sh+/AadruKpZKghul5WeKX8Tq6+7I19ZnRl1EVnGLFtuXkpaXcttR915BM3zcrOwAh8UaU vbJGSnxZkZsMeS95YNFIEMmEjIQ2SBr9g0Hyu4seCeKjkqD0fYFjWZmuQztwnDLgUpZIlZbM+oMQ MVmS41sPK1ZE/UfmwDY6qFKbXU1kgU/p/smEL+BVkRZZ4Z8wRlSzH+OdYs1bLvPcazs8UYxqexzt 8XxxoO1Lq/bXq3xkRRyvtP0bgOti7w2eNsZiV53C60feoaHdbGhAQgXcK6OD4SIxggZyymEKifY3 Na7CoYqpgY4CgbxgCe1womLbedFH0S8Tme0Em/pRj6MJb0A/23iPtRRPbqaHykbfOJC5/XlVtmoJ s8bhROO5ju4Lrjl8mrBjXkSZ+wx/ksF5DoL6tf3/ADVm35xx1AEA --===============7858541694253768405==-- From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 250ECC433E0 for ; Fri, 26 Feb 2021 06:35:56 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 991D964EEE for ; Fri, 26 Feb 2021 06:35:55 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S229835AbhBZGfy (ORCPT ); Fri, 26 Feb 2021 01:35:54 -0500 Received: from mga18.intel.com ([134.134.136.126]:57713 "EHLO mga18.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S229526AbhBZGfs (ORCPT ); Fri, 26 Feb 2021 01:35:48 -0500 IronPort-SDR: p9IvoID6pqUdUyGuPxe9HsAalnXbxJug0ctT+rrW6t6XI360bbIl47oiykbhKaqB48EVDFDIlk KW+YiELhqAAg== X-IronPort-AV: E=McAfee;i="6000,8403,9906"; a="173441756" X-IronPort-AV: E=Sophos;i="5.81,207,1610438400"; d="gz'50?scan'50,208,50";a="173441756" Received: from orsmga006.jf.intel.com ([10.7.209.51]) by orsmga106.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 25 Feb 2021 22:35:06 -0800 IronPort-SDR: eFn4HFy+n0P1p563TcZjaKGzSz2ekfrpI9jNOXJ2Ac9jTxJmeUKIyDj0+j+3RSW8L2MGp5dVsv eARqs8+7gCZw== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.81,207,1610438400"; d="gz'50?scan'50,208,50";a="367685338" Received: from lkp-server01.sh.intel.com (HELO 16660e54978b) ([10.239.97.150]) by orsmga006.jf.intel.com with ESMTP; 25 Feb 2021 22:35:03 -0800 Received: from kbuild by 16660e54978b with local (Exim 4.92) (envelope-from ) id 1lFWiL-000362-Vo; Fri, 26 Feb 2021 06:35:01 +0000 Date: Fri, 26 Feb 2021 14:34:18 +0800 From: kernel test robot To: Suzuki K Poulose , linux-arm-kernel@lists.infradead.org Cc: kbuild-all@lists.01.org, clang-built-linux@googlegroups.com, linux-kernel@vger.kernel.org, mathieu.poirier@linaro.org, mike.leach@linaro.org, anshuman.khandual@arm.com, leo.yan@linaro.org, Suzuki K Poulose Subject: Re: [PATCH v4 17/19] coresight: core: Add support for dedicated percpu sinks Message-ID: <202102261412.zCSQLdKB-lkp@intel.com> References: <20210225193543.2920532-18-suzuki.poulose@arm.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="/9DWx/yDrRhgMJTb" Content-Disposition: inline In-Reply-To: <20210225193543.2920532-18-suzuki.poulose@arm.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --/9DWx/yDrRhgMJTb Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Suzuki, Thank you for the patch! Yet something to improve: [auto build test ERROR on linus/master] [also build test ERROR on next-20210226] [cannot apply to kvmarm/next arm64/for-next/core tip/perf/core v5.11] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Suzuki-K-Poulose/arm64-coresight-Add-support-for-ETE-and-TRBE/20210226-035447 base: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git 6fbd6cf85a3be127454a1ad58525a3adcf8612ab config: arm-randconfig-r024-20210225 (attached as .config) compiler: clang version 13.0.0 (https://github.com/llvm/llvm-project a921aaf789912d981cbb2036bdc91ad7289e1523) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install arm cross compiling tool for clang build # apt-get install binutils-arm-linux-gnueabi # https://github.com/0day-ci/linux/commit/c37564326cdf11e0839eae06c1bfead47d3e5775 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Suzuki-K-Poulose/arm64-coresight-Add-support-for-ETE-and-TRBE/20210226-035447 git checkout c37564326cdf11e0839eae06c1bfead47d3e5775 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=arm If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): >> drivers/hwtracing/coresight/coresight-core.c:800:6: error: implicit declaration of function 'coresight_is_percpu_source' [-Werror,-Wimplicit-function-declaration] if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sink(sink) && ^ >> drivers/hwtracing/coresight/coresight-core.c:800:43: error: implicit declaration of function 'coresight_is_percpu_sink' [-Werror,-Wimplicit-function-declaration] if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sink(sink) && ^ drivers/hwtracing/coresight/coresight-core.c:1024:7: error: implicit declaration of function 'coresight_is_percpu_source' [-Werror,-Wimplicit-function-declaration] if (coresight_is_percpu_source(csdev)) ^ 3 errors generated. vim +/coresight_is_percpu_source +800 drivers/hwtracing/coresight/coresight-core.c 775 776 /** 777 * _coresight_build_path - recursively build a path from a @csdev to a sink. 778 * @csdev: The device to start from. 779 * @sink: The final sink we want in this path. 780 * @path: The list to add devices to. 781 * 782 * The tree of Coresight device is traversed until an activated sink is 783 * found. From there the sink is added to the list along with all the 784 * devices that led to that point - the end result is a list from source 785 * to sink. In that list the source is the first device and the sink the 786 * last one. 787 */ 788 static int _coresight_build_path(struct coresight_device *csdev, 789 struct coresight_device *sink, 790 struct list_head *path) 791 { 792 int i, ret; 793 bool found = false; 794 struct coresight_node *node; 795 796 /* An activated sink has been found. Enqueue the element */ 797 if (csdev == sink) 798 goto out; 799 > 800 if (coresight_is_percpu_source(csdev) && coresight_is_percpu_sink(sink) && 801 sink == per_cpu(csdev_sink, source_ops(csdev)->cpu_id(csdev))) { 802 if (_coresight_build_path(sink, sink, path) == 0) { 803 found = true; 804 goto out; 805 } 806 } 807 808 /* Not a sink - recursively explore each port found on this element */ 809 for (i = 0; i < csdev->pdata->nr_outport; i++) { 810 struct coresight_device *child_dev; 811 812 child_dev = csdev->pdata->conns[i].child_dev; 813 if (child_dev && 814 _coresight_build_path(child_dev, sink, path) == 0) { 815 found = true; 816 break; 817 } 818 } 819 820 if (!found) 821 return -ENODEV; 822 823 out: 824 /* 825 * A path from this element to a sink has been found. The elements 826 * leading to the sink are already enqueued, all that is left to do 827 * is tell the PM runtime core we need this element and add a node 828 * for it. 829 */ 830 ret = coresight_grab_device(csdev); 831 if (ret) 832 return ret; 833 834 node = kzalloc(sizeof(struct coresight_node), GFP_KERNEL); 835 if (!node) 836 return -ENOMEM; 837 838 node->csdev = csdev; 839 list_add(&node->link, path); 840 841 return 0; 842 } 843 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --/9DWx/yDrRhgMJTb Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICPdqOGAAAy5jb25maWcAlFxbc9u4kn4/v0I1U7V1zkMmutiOvVt+AElQQkQSDAHq4heW IisZ7diSj2TnTP79dgO8ACDkmZ2qmYy6QVwaje6vG438+o9fB+Tt9fi8ed1vN09PPwffd4fd afO6exx82z/t/mcQ8UHG5YBGTP4GjZP94e3Pj5vT8+D6t9Hot+Fgvjsddk+D8Hj4tv/+Bl/u j4d//PqPkGcxm1ZhWC1oIRjPKklX8v6X7dPm8H3wY3c6Q7vBaPLbEPr45/f9639//Aj/fd6f TsfTx6enH8/Vy+n4v7vt6+Dr7e3d7tvVeHT1dXvzuL29vR1+e3y8+rp53A4ft493m8no7tOn 68m/fmlGnXbD3g+NqTBRhQnJpvc/WyL+bNuOJkP4p+ElUb8ToEEnSRJ1XSRGO7sDGHFGREVE Wk255MaoNqPipcxL6eWzLGEZ7Vis+FIteTHvKEHJkkiylFaSBAmtBC+wK9iDXwdTtZlPg/Pu 9e2l25Wg4HOaVbApIs2NvjMmK5otKlLAsljK5P1kDL00s+JpzmAASYUc7M+Dw/EVO27lwEOS NIL45ZfuO5NRkVJyz8dqEZUgicRPa+KMLGg1p0VGk2r6wIyZmpzkISV+zurh0hf8EuOqY9gD t6sxRjXX4fJXD+9xYQbvs688MopoTMpEqm0ypNSQZ1zIjKT0/pd/Ho6H3b+MHRBLkns6FGux YHnYLbkm4J+hTMxVL4kMZ9WXkpbUO/Gw4EJUKU15sa6IlCSceQYsBU1Y0CgnqPLg/Pb1/PP8 unvulHNKM1qwUGl6XvDAUH6TJWZ8eZlTJXRBE3OXiwh4AkRRFVTQLPJ/G85MNUNKxFPCMpsm WOprVM0YLUgRztbmwFkEZ6ZuAG3tD2NehDSq5KygJGLKMrUyNecV0aCcxsKW/e7wODh+c+To W1UK+sHqqRT9hYdwQucgr0yKZm/k/hlMtG97JAvnYDkoSNmwWLOHKoe+eMRCcwkZRw6DYb1a o9gePZmx6Qy3qUKzVgjVY73Y3sS63vKC0jSX0GvmH65psOBJmUlSrD1D1226lTUfhRy+6ZHR 1tUiC/Pyo9yc/xi8whQHG5ju+XXzeh5sttvj2+F1f/juCBE+qEio+nV2fsEK6bBxszzTxd1V tt/fUS6YV2X+xlzVmoqwHAiPDsDiK+D1pWQR4UdFV6AXhtyE1UJ15JCImAv1aa2eHlaPVEbU R5cFCWl/TkKSJEF3lvLM5mQUDqOg0zBImJA2LyYZ+Gn0iD0iWBsS3xuuElkB57aftLgZDwPc Ys+eOnOv0DRUaWCeAntfup7ZXP+PT1PmM+hHn6bWMaPjjcFgsljejz51m8kyOQdvHFO3zcS1 HSKcgciUBWkOgtj+vnt8e9qdBt92m9e30+6syPXUPdwW9kwLXubCVGDwKKFvNUEyr5sbqEn9 1jPqqDFhReXlhLGoArCJSxbJmTkoHD7jA7+/0w1yFon3+EVkowSbG4P2PyiD7H4X0QULL3ha 3QJUB468X7+aydEivjx4kMc90SkvY5xVHs5bFpEGygK5hPOcg5qgmZa8MJy01gjEec3+dDhk LUDmEQVrERJpi7aRPU2I4T5xn0EYCvMUxt6p3ySF3gQvwYUaeKiIHLAIhAAIY4tio0YgmGBR 8bmlEpELykzWg5C+tYAFQL+B/29hew5+I2UPFL2/2iVepCQLqaUITjMB/+MD3VHFixw8OyC0 wjBmLYIzUW7JotGNIVtTA1o73R09BA2A2AofcpxSmYKZUuOAMe1vcs3wfBtrHGL4Di7YqnP1 lhFyf1dZyszQx/J2AREgrNI/agnxp2EV8CccX0MAOU8MgQk2zUgSGyqnJqgI7YAKM8V+CyFm YLs8EyHMUizGqxJW5rNxJFowWFAtSdcsBqQomHdz5th6nRqybCgVMZfYUpXc8OBJtqCWfvj2 F8lwgBNO/AtHlVERSew7EwiPVXDbLQEGyQCEWkZkHqaW5SgE/eLpDfqgUWQadaXoeKaqFtA2 CoREmFy1SGFF3MAVeTgaXjXeq85n5LvTt+PpeXPY7gb0x+4A4IiAAwsRHgEA7bCQPVY7YWVK e2N6wdjfHLEZcJHq4TQibeBxYzYgRicSAvy5XykTElxglIHvnCc8sM42fA87V0xpE3b6PpqV cQwxT06gmVo2AQ9h2SZJU+VRMHHCYgYNNJA2oDqPWeI/FwoZKedjRQZ2rqPTt9QauRJlnvNC wlnIQZBg5JqxLQUqeIgutiNDqMI4flilxPAtACXDuYZqdccmvArn4Ov6DN0eoHuckKno82Mw h5QUyRp+4znpR2yzJYUQSfYZcFhZUIBvhf2xHKk6d+3aSxVYC5Odwn5hjJ/PQEgYgBhrR1Sc QkiP1mrWH9QCDflUp6FUAC4AFGtMqJDqQP582XVHJ01LZ4IpCLcqMnDYDGaZQtx9+x6frO5H N53S6CbotnLYVfSqXl1XzWh+N1mtLvNj8N1BwaKpH4WpNqAQk/E7fbBVfvXeGBFfvNN7vvIn mBSzyMPLTEFGo+HwkvEVk3AM0zJPm6JzkO3IFxGDLI2P9HZuns9vh++DmjwQx/AMAcnLy/EE k6nbGDwjIQxRreKMhgYmaoljH/HGsnAN+WroB78tf/wX/InPdulJVyKNunhGT3cQHDenRx3L NAqMZ4KkSZVe3w3901GiBQfrR+raG47uLqxF9Z9NfFupWFzy1IIFSPwi1Wwv7T4szBa++kiG EixfmtrRiGItClAmqz9DKuNOKuY3ny0g0ZJ0ag5hMaIHMxWlmuguJy5Vz3jsJ0/68xUyFRem e3NpE+vebi5Juv68iqTpct49Bvb5IakoVW7GOj/h8fn5eBgcX/DW5NycnOAIM+hojWrqLipw m1PDcsPY1TQHwyxy8Cr3Q8NZA4dEoV/LVVRVikClje3ekLOMPMSMmGnTZj7IyZep1VydIYuo p9hKoSdCRxJKDvnpuN2dz8eT4zdUZqxI78ZDaZsLRbxxiHJWpgE4xhzdks2ajH9cyR7p2uk0 AKdPF27DmnwtP9v0XDESOiXh2uaEoEiABK+W0ktnC5fO8zU2D5z1JIGiMqd1PrruU2wfi1RE ozob3SZ7OznHXcLGAAZKgq4NZnraERMo14umNvp/NVsWTFI5K3g5nV1sq5tCG8ABAGOYLy+q IMscQ5FqRpPciiwvkHGlyajuXae7rg09NQCMPqRvmIVuPF7bziSb8URspsJaJC/yhMlq4kO5 HRMTAVZ2uOaMp14RNeyRr1eFyXkcCyrvh38GQ/2P5SGyQh3W++tRm+mcPSAmhTDLsC5A84MM YIyHQ3PCSLn2ezhgTS54TmBdX2a5Pqnl3I+79ehU1KzAdLux0ZSYh4fDrzpuMqIAgNcaeXeD AimXl1VYLJtbnpz4VFIJd0kgcFO4mSTVrJxSOM0G8MfbIIS11QPPKC/QRY5GbQcJm2YpRn4Q QBgxCCYCqRDVksmZSpjmayuUIgVBPO+/EqmZ7iXCe4Fqq8rvOCu0MtxILzlOq0sBqhmkEEcV ZWjI/0Hlzgqe6rKB4Z/DPicQwmTg+SV5TrMIeo2kZbAUD6aA9HqvfZnRNFKX7ebl9Yrl9a3s hQvbFfUj8bAgAiB+mfpuXjE7Wj1gyiWKLMRFY/+FjSXl5rppkB//szsN0s1h8333vDu00Bt5 8Wn377fdYftzcN5unvTtk6WvcWGnVMzLIc/Xbcfs8Wnn9tW/4TP60h+YlN68VX/x03GDV0+D l+P+8DrYPb89NdUkik9eB0+7zRnkcNh13MHzG5C+7mDcp932dfdozi3OaZUt4b++jCDwYgDm 8Gend4s4N9HJxSlpv6mW8dwuwzgGHQgrBaqk//B584P+tEQdv6vOMGMqmIVmdCDBAtBU9aHZ pF3Nxflq8e9Pz//ZnHaD6LT/oVNc1vkRYcowMSJ5yH0ZVt0m79q4B1Az+RKcrzaUXqHErEiX pKBoyVJv2cKU82lC24bmMDULc4nKTEgXdOjL7d3302bwrVnvo1qv6cQvNGi1wpWUKYKwWOdW rY/6DYCCjOpklGEiGtb4+gaZPpvUtgF/fKGDICFzOhbv90CosJNhNT2cAeAh4yFAJjsFV/Nz nqxHk+H1hd6JwDMDoKMQcKIAVPZqjzan7e/7Vzia4DM+PO5eQIj2WWlOCpVVbCUzP4PxrBIS UL+6gcajm8HSIXBZ4A6WpFci5Oa5NLWg0ssAoOWlW5cOiqJGV3m8GedzhxmlBK99JJuWvDT6 au9MYVloMeuyj34DxcT7CBSKecXZZs8BKUgWr5vbr36DOaW5e2nWMlHUulbHuyw1q9olV8sZ QHL7Nly1mowDAJkAJSvpdFLQKahaFunkaFWjE5K7MsScvi9xj9/76Aq26z7Rrfqm3mmMM1uF u7C0CeAGpuPrMjVPF4KGCBCMcNYlqLZqHmjpaGgnt/8WHYXLzTrEBE4a1q04o6AWAf5RmjZn 5geKfaFOxGnlrxExW6Q8qhef0xDz8UauhUdlAqYDTxpNcHNc0aJCKQ5sOcf7Sp9UrcSt04Cu QJHco+D56ra/o03tm+R5xJeZ/iAha25VUyYg2CoACYK7iIzROZYcsmntVSc9Bgnda4n6ekXr PsrUZ29zrO4AJAdyZIjW41g46+KqcAgigLrer1iufKdUgi2QdpsOV7jM9+7a6sZ6Ly+MpvL+ oIWRuhc3izfn5n2TeDeyuXQd3SlCHmfVAiKZqHUTIV98+Lo57x4Hf+j44uV0/LZ3ESs28wBx dxWqmb48olVzcdlcEL0zkjVRLB/Ok3KqUyS9C6a/cGhNV3hVhLfMpjdRN60C7wLvR0YGUp8x X+6xPn2qTioBT2M6g6Auuml/zis46erCTemmzRKhYHB6v5TUNOVdHQ2oBdgoh4W5vUBMvURd yenQGdiracGkt4SjZlXSTD83bIx4oz4Zk0FSJpbN6vNANktnUTqW0/a+sHnLwC8BxgF10yxc X+CGOlXa3YTrvqr0ixfJ6mniNXDs21u1KRCq8pwk9oC65ruCmSAEs/yUlw1hTJKgfWsTepvT 614FR5ivspA8yEMy9RGJFlh04rukT0XERde0Gx7CU4vchRbOiOZ80y/KUam6B134y7sqMPPm 4AvIWKdsIvAFdd17d0o69nwd2JUPRjmFbhHE/tjWHroDsdnIyKdktYQFICj4ZR8z+yKVSHB5 YQWRiMekgkOvOECNhOQ5KikG+wiFdKa+y/q0ZWBKOvTP3fbtdfP1aadeYAxUUcCrIaeAZXEq 0ecaetHSqjjKTQcOJLu0om4qwoLlLqjDWdf8OLGMwV8Q8cnAIsfHA7l6ViCJZZqMhjyxSmhq 1gPyfIeknuwMAr3IP3zKhFVzjKt10y7t/l8SrpJ8uns+nn4aeYl+kIIzsG7k1ZoyHql41a4N UBJFHK5qXWwtqivlmeBuoK+Tt7lUjhewhLi/U/84IERBkwspvSlicNRPf/1EyqaFM6iOVqqm LqbbHXD5oQ/kzIUhgwaFKfSVskwp+v3V8O6maaHS8QDiFTia2zFsQsEMYdLdm5GzwAj81BbV n3FruF5zi1xQIiLu2zrXh5zbWYqHoPRnah4mMeitnyX6pT1OOKdqOcA0FVTrR2etoqZMpgH4 vpQ9LVR6GZyzFR1PwSddeIozVzAYn92YNvqyenedZtTXn4bpWPj1mbXxfbT7sd+a2aJW7dOK pIFRXZmHITHj0DxMQ2ZtrKZUeCtchax/e5uHH7ab0+Pg62n/+H3XXpQqRLbf1nMY8F4WWgNX fdVjGHiTjGUvM+s5zUKmeWwlqzUF0Jh+AmCAcIh5SPLOewM1UJvSUq+ceotr00lPx82jSkQ1 tmVZuffkLUmpTYSl2YapX4EadXmxbk3dV8bVl7kQb4MWVviSp+0HaI3Qq1lpU2dFzVd1zLZo bbSVIoRTtLS43jdQiKeigi3sBdR0uii8OFqz8bTU34KBTPnC87RIRdMlxJP2y6OCTi3brn9X bBz2aCJhaWCmfRq6mQCpactRj5SmjPfHMd8NNbSJZ+ycVWSRmrYZzF7tPUFXYkdqwIwBR2r7 48/gXzhj7R3oozIDJjwpwlTIoJoyEYAxsO5hUr6S1H8TtaArpUd1wbTPb81YZQm2JrRl69Yl bDMvw2BmwhtjyTYW7VDsy+Z0tsGpxBTJJ4V+zSkA2Qg1bAuNTB5rur++BzuNRb+FwYedU6ls z8ANK2KFyiqt65Dww+hiBwBn64pMM9jqN8NkDM+StR/jN9JRQivPeJdzREitK1blaXM415cz yeZnT4wQE8BB7UlKzf2imBS3KnxvR2P7qWIGv/2xgctpzk4cuX0IEfsLZ9K6pbnDPHf2pY2Q VNmkkB22L0j6seDpx/hpc/59sP19/1JfLjgiCmNmd/mZRjR0bBLSwWy5jyTr7zG+qxNNPVEj O+Puq9BekwA81lrSS89Hm2aJ0cw30pTylErvaztsgnYrIBmE0vgOpxrZK3G443e5V30psJGH Nu6dUvneAjFzkeA1dF/GaSRk5Fs0QAPfy5+GXUrmqBGohkPgDoEEgmZW/dk76qQDms3LC95e 1kSMdnSrzRYLfhydA0cOq0SZYrTaUxpMEKbvaAyDqOTThSW3iK9HqwhEyevUuidRXIiLtEg6 /PoXq9GVdbunbx+2x8PrZn/YPQ6gq9oT+A8aFqFDCCdm7mpbhq5J0oXq64uL75pfVqU0nOXj yXx8fWMvVQg5vna0QSQ9fchnPRL869KwmEJySRL1YsgKwmouLVQSErmj8a3ZnbKxY8MfRvvz Hx/44UOIUu7hfVsAPJxOvADir3dE9YXFhfbeIMV5FqLOakbrQkT7CGtyvVF61y5sRNO0e2Dq 7cnZSW+b8QrNL8TT/lJzfbCXaikXGyBocxvoTFAYghC/g9iMSjNXQNDIlk9DxYIkLOl1ngRf aAKuzV/H4rYPwpl3m32TbXhqb9WSkjyKisF/6T/HENelg2cdlnqPp2pmL+8LuHHu83m6yypb WEbjrwf0bAb3PatCbhk4fhkI1TJRt1dihqkt58CpBgEN6r9OYzx0eViBYkUWDWOalNQ3mptI AvJsDdGahYwjaSiFWYcFcLTMmJTWJQAQMY2FlwwWUectvKw5Dz5bhGidkZRZozb5TotmRTI8 Vn8ZQ7FAoGRm1TSDJwt7VJ1MdV+1pPgUpr4nVhe89WsaM+eNpHeS9Ive2QM1osaLhgZbAtUx SYqkH50QOXPoMQnAwAiXav8dCQv1V7cUUzcwag6PORPt1vfnbT/uAnAgeCFA08QkWQzH5mVq dD2+XlVRbv6VDQaxjmO7UNxgwYHwBdRlmq6dv84iFHeTsbgaGogLYsuEi7IAfwO7zEJqoQqS R+LudjgmiS/4YSIZ3w2HVoG/po39VaGNACQ0ur72VYc2LYLZ6NMnq0S14agp3Q19t6mzNLyZ XBsANBKjm1vjN54TWCIYynzSe/YrLEctlCNeUUvqK3zwtqpEFFNf7JEvcpKZJ2zGBIP/zOka C/mtPOnY1XftTyiYzbTvSzS9InJsAOiOeN0jttXtXd2iZqRkdXP76doz+7rB3SRc3Xg+xMdY V77XFzUf4H11ezfL/4+yL9uOHMcRfb9f4afp7nO7prSElnjoB4WkiFBaW4qKCDlf4rgzXZU+ k2nnsZ0zVffrL0Bq4QLKNQ+5BACRIAmSAAmAORsMbvLcdXj85rIXqQ0dnb7+uH+9KZ5e315+ fufRla9f719AIXlDcxXpbr7h5vUFJtfjD/yv6hH2v/6ampfjIZAhdhwHk5AOEirBgkzQomhp wzZPj3Q6IbwauYI5P6CAkIuLspQox71FJmed4j/EGQn6YKK3JaiCz595Z3BT/9fHLw/45z9f Xt+4av714duPXx+ffnu+eX66gQLEhistWABDp1y1R+bbYkAywFILA6AOiv4nINc18rkms56U WRiALygVEgvEHB14IywfBiCcB47u58gKbDaaKPD1JI2//vvn7789/qGcmI1VTlGL09d4ZT/p ysak5ff5VSOt8l1SYDN7OagBqdRfo4OHDNGY5tWO9d28/fnj4ebvINb/9c+bt/sfD/+8SbNf YHL9w2Sfybk1jp2A9QRM0UdnqK5XyhzO+4idBP6Px/GWkzZOUjaHA33HwtEsTeprgsHoSk/0 0wx/1TqfH7aa3Q1iy6zwstjBP+QHyoXIDMfwLHQYtLeKda2ojra+tCb8H7VDLlqerILD+UEg z+Ng8HTas2NqyXjApUu/npORsxsAxQRxLSRKpO0NanLMqo2cqwRXES3KbYw83zXo1NZ1jXIo jkgeiEE3EtGtOh7CFgYL9+X5G/oV3PzP49tXwD79wvb7mydYHv/74eYRo/h/u/8sxbHxspJj Wsgzf+ICwWl+TjTQx6YrPursYjWEwUK408iwSmRpgXUuT9XMH2BMFTVo/2ShfJ1xlGIQ4poQ k2ijnH1kit4sV8/vk6kDwx2/KZbaNYaXqYlrRui4ZsgXBCoBn+x4d1KwXlyJW/x0sOuyanI1 Nrs1U660gdI2DXghe3kOTMTjCXeV1Mkh77jfnWa5a5TCExYvbug1Dasq0FIumHzVD2CMe4MW 49Vkpq07gD3V6C7Yko5B2ejfrn3C6qTFfHD0F/2x4IfU5wJ9bhVPLixPHdAJAmveRwXKD3Qm YrnyfEcv+Rk/6rI0olR8bQFSFeM6sIBQYBXAp7xTB44w+2To9WOp8bqgLAHhCs3xrxAVjaWN WgIIhJyYPnLoIm6rQ1yT04XvMeTgTisMj956+owUheRS9JY9HrCYZ4wPsXUwZ/9BmiPNf1AY 1JOtPpfTp1CQcdMkIdFxVJ6eCGtHLUpyim3aHZ99htk+UkynUMvPawuLhbFrFE8/fr5Zdbyi VtLC8p9gfMk+zAK23+P5STldwys4xl0gb+lYGkFSJTDjh1txDjVf6n3DvIDztvWqsYXeECyH xU/nZYJDtyWnwYplaZfn9XX4l+t4m3Wau39FYaySfGjuiKrzswBqPZCf6cVYYBPYzTEoadbZ +ZDYT7vFVyD9uybpaE1Iaoa1WmgBG+NSl4CXEXaFTQAmBFn2QuNTK/SCzqSjAglakBWmzY5c K2eCw96jWYUpSSunCsXVosEuRLC1lnlF7iEzES4BsN/1RMMYmFqXos5UB4cZ3Vfkfe5SMtf4 yE8FSregLVSe75GFXDDVFXmsPJNUsO+XZVKT33OX0aajkzepVDst7RpBho6BZOqwpb8uRQY/ iI7+dMzr4ymhZIsFjuuS7ON0NVwydaKhtWQUmylahjT6kSRBN3T0UcpMsWdFElIDKiYnjxtU 9koB4RkzoI9TC6cyVdH2ObnLLDTHpL4kqpInYW93fUKxKJG0+SFhJ0YUwGAvTkqQu7SpqGTS YzubU3oUq6y05S1AVNswL2AhBzHI+CRjUbwJbcgojqIV3HYNpzpXEXjFoUrF2z7sYLNxVwru K7BDq0EdeYrg2vvUXbdCewLluxjSorOVtjt5ruP6tCTpdN72XTpMXo2hTkVax74bv09/F6d9 lbgb6qzcJDy4skWn4vuetaayZZLYzjgJUvriwSTcaBcyFIV1xCcC7VxWJsGbrZZ0PJKpjkkF JlBhYyTPe4uwwgwuk2ENN85lC8mQ4psDNHJ/+lD07GRr2aFpsoLOT6Y0DbbWnF67ZbKiLEBM qZsTmYqF7C4KXStLp5rMc6o0+bbfe64X2coAu4ey41WShu4xvl5eL7HjWFkUJJogE3RVMrhu bC+nSmG/JJOYKFQVc92NtYy83GMuzaKl1niFkv+gG11UQ3gqrz2zTJKizgc1a6lS8m3keu/U 3uZ1peZPV0YjAwumDwbHso/w/3dqwkMDfyksW1iPblq+Hwz2Bq4v05esj6Nh+Etr16WClfe9 OYA7N3pbNQzsXZqjKnX9KPZtLGEJYnF4lyOuJiT1h4LSrHVCv6LZQVzRV6vs9Kdu994qiYR8 ituryaoUB8p11iorOg75S42H1Qtv0EhVTGdtTMyzMlc4WdM3rR39AV0+LZLGe8q2+HCkZ9kn EPnpDsPGVY8lcxxAOUk3AW2v6NTTzLYVlrC7lc7g/y96T87Zp+BZyjcvSw2A9hxnWNUbBM17 q5ugCtaqseihI/Ja2Jhs08Qy1pgZzaIWs6IU0exkm1jB/sL+wXpXWJMkrtpb6+6r1tqd7NTt wX7xrTaUQjzEYfBu17csDJxosNX4Ke9Dz3tfyf1k3LlQXd4cq1Edtq6NxUcWWLKuKvXh0WdB LdXj6U0h7xYCFsdtFYPANrU4/FSQYJW4G+O8S0B1BxsFZxuKkYibHCCE9hVPEO5Akye9XsZD MH9woOv6Xs1oIJDQrAF2uDPPHdxYQmtHyiLltO2lg05YOVIcoggEg+4rgd36oDa3fUF0DRDE Wy8QX9srEbsk8mJrWVUl8WalW3heyh3ot3KUlYTK8rTJLDjeXTomxQVjjaOkL3j0UZ/TCWrn 80UG2/ZIaWX/dug/bInxxAPNKln58A42xaK+NT9NK9fZWj/r8gOmpmq6ZeQ0fH9SGq8eN+Ba 4bmxnSIZWg8mWJsTnPWXcuP4zvLxSvdNtHyI7McflzJ0Ns48kFohJ/6P9es2KStMnGFrS5vu Ayf0QTzlHJwzLg6iDTFyl2oUx7VJCERGyzSa7jZ2gvdmKRfjrsG3kNDHotGOTwVRlkRe7IwD TnrqjWRbaC0934VafCWXnnTlYiLJhtKnFlUOVs16FaUcDglUUcFgpSeTBdgxvHBrF5O0SlQb WwHTa3vWnb0QJPndXkO6MJjo9DoEOjLRXVXoBx8cpEYkIkSNO+SQaqdB9o5vQnTVjcO9bHRa 0+ld14B4OsRXlPoRRikYIyrRCwg2BiSY7m2O9y9feNBp8Wtzo/vrqC3hP/FvNe++AGPs8q2c 8EuAy2LXMk+HdslFbtJYgnDYA3LSBxVJAIdXuEbdXXoVtehFtjutOI2Az2S6xpPW+kNS5bqL 9AS71iwIYqKQmaBUPC2pTp9zbVB3m+Im7ev9y/3nt4cX04u5l1PHnBUe4R/WlDxWtWYibQJ9 WXzuJ1qiIcfLhJTrkcCYVyJTvBROdTFsYdPq7+THs7gPrBU4vhfnBXM0QJmhNyZ63GDk9CS1 7OHl8f6bGf0wnt9Pz0DoEgGoWMupK9zWn59+4YhXUS734ZPTFKtloKxf29Ih88XrNK4qrQrK 7FOtASIDZF4VWr5xQXV7yHZqlr0RsWQMJ+HXE4+K3ViwC1N6w0G/9On0xQrBYFSMFZbKsY2G sPbETFB3I9uuRqEu5xLQLHOSVe3RorH5xV7k39dbLRArk2Ok+2iywdK0HlqqTI54v0yWumHB IvXhCR1nPWMzCOnbgZFsl1ahP5iDN8KtQzQu3B/65IAj9B7+r5azrCx3bSLHw6jka1XyYkAm edYhQ95lol1yyvABmH+5biCnwjYpbdyPcQgtozlS0fY+6FJipHGDe1dUkAgmiWira5SxZ+W1 bLFyexGcpqj3ZT6MjSBLWSje5wp+5QNPYFEcihQW8Y4o1SSiCjbEGvRWRsabj4sRnle4fmDO ylbOqyIBlaVvDsRUthqDi1p4UGc2r5ZDU2b7gh1xj6Zcnk5lOW7fy4GLeBkJDE1qJz6nRCYP Dk1XOoOnn1PvvCVM2necC2vAF+DGt+SIKoSDMrVvFG01v6BLlgsKhMiAaezJwq/55jOh9Cwt uKtTtMevqeU9yQSfkqyvG8eSEn8hIG9zWdp5m0GWBitX0yfQm0pMHvy+VQAY2DqP3wjD3PUc jgkeJOWnT+FPK98uIADfYzcc9Dic9M4TX+hXtQv4mnaWZwYmItheDCKChJ+5mbwiClaMYsyU TGDr07npdeQZGo6OFMOd+RHrff9T623IFo0421mxTqYYerBKl3dKTOgEEfGgSz52UwAWC40L NMziE6xQy7M9phcjMGg6LyrGOXQO95fD6F0VrD+9wGH4Xrfi3wfA6jS/P1X9/Pb2+OPbwx/A NlbOA9QJNZcPZrcT1hEUWpZ5fSAPxUT54uWLP9UCBBz+Xvmu7NONL99fTog2TbbBxrUh/qAq a4sal7GV6rr8oJaY5dKHZmVVOaTtmHhvivxa60KVpzEdFJouFp7YmPFolobk2+/PL49vX7+/ KgIB+seh2RW93moEtykVxLBgE5l7rY653tkeVZ9nWaRUPOPyb0wQNKaR+Pv359e3b3/ePHz/ 98OXLw9fbn4dqX4BWwqDt/6hS1SKswglxcJvluProTzjl768aWgwY882cZTIpPAQpaS8ys+U xY+4UZI1iIisgFXsw5SfWimwbqokK6idEbENtoaphcK4ENEriOlufUkDF0mzxUtq5tJgvAjH gUWl3KMiTCif/5pTZcK69QQ6DaB+BRmEUb3/cv+DL2a6Qc27FDO81teTXn3X7Jp+f/r06dqA iaR3Sp807AqbIX3YigRFfaf7h3L+mrevYnaNzElipzKWdlgFlHSq67zUGdhbXnG3Crz6+bqQ YUCJangucJx4pvTyEJQTHW4m7wRzeXKisjSrGUKWxEiTenFRwYtqBArhgiEHoSpg80eaY0pa hVrQbbsSpgY4nTMOy5eoTLA8q/tXFLIl5stMg8ijA7m1pZaUDCJyEDaiQo5BQRisjLtEOe1A pQa23DrNSeD14ynJyOZNawdtdgCJIVQSDg16NIwsRjZQqKuLKA/tqZ0JJNhrxJyxlN2Wjuep 5XRNeovejSqUeMlSAl/3BZ2XeaQJtbc5ZWzqxgULHY2L+VxFFoxBvgRDyAAKTaWBplVL4eHT Xf2xaq+Hj7YLYC4ulZkXhkugtH2bscHI2KItIX378vz2/Pn52yi6qvHRcpHU0mBIyL7MQ29w jI62LCxcAud8INInFSVORzlC+cijTxc9UZzsg6h+XsIrp/2cg789YjS+3BosAvVHoqpWztQG P/S4wbpvRxphuLVsqoBSLrEAMNowjO6WPw5O1zjR8PNftfoRM06muc7feaL5t+cXQ4Vp+xY4 ev78Xzoif+I5jdvjHczBGwzcqfP+0nS3mLaLZ4MH077CvF43b883GLwPWxNsll94Qj/YQXmp r/8p5zwwK5t51/XMKXvmiLjyjOlyXxd1JccCSfSonu5PdTolqpOqgP/RVQjEPBDjW9um1rwM 1chXwvzIozSmmQDvn7cqGwjnl5ueCa/S1vOZE6sqjYFVTDMda2IYjJN6/DBjBjdwaOeWmaSv 9tTCNlfLfS88x6xWXGhT1fLL5NVamzQvG8sbc1PFBag5uIpfma48i+SIIPav9683Px6fPr+9 yHciS8I7C4nRgfq1wYwwt4wJVQJvdXKgF4657zJlQ5/gKdtEpXw+pyC2kuCMadbxFB6MajCu uVYuP6oNv5V9dATwTFE84lOkkpKeZ2z22n48fVJ0H9VdU8wU3cgVb7NiuD918cdNZy2ubgZe z9ST0Ry9ZFeToSh9vrMY8iIX1/f7Hz/A8uJi8cUMueNfRrinY3ZcW4W6tiWYnLUntbTskrR0 NJUwk3r8h74Xk1tHmmaCoNOFXMUfy4vlmBWxZXMo0jOZVJz34i4OWTTofZvXn4RfvAJtucOW BgUlK3Q1GMyaJMg8EN5md9Jxmu4zyUyq3k1y8CXNtv6GXqU4gdCH7PhP+Xmt6xLMEGBJQ7ci UPMhAIc+/PEDtklFZReFZ20QxLHRqBGOc8oqgFndaj10uFxb9cEDaRZYhYujPWN4BVTNuiUG E8+S/MGoZoSv8cxJIscoEN2TdAb6tki9ePTMlgw+rT/FxN5n6/28yyIn8GKtil0G3LjVRVlt jn16zS3nLWK2tP5242tFlW0c+WYfZuYaYe6IEjgw+mbaJZWZMDrdqt2FnrFxaAwLR8ThygTg FFuXdvgQFB+rIaYSZgmscH/TGRLubuZ8NYIWTLx+sD5NN3OYZ5NjdfhhNXfDjdnjvrt1ScFX A2kEPPX9OLbOorZgDeu0soYO4918WYQJXkUMPNuZbZi/IrAcfX58efsJCvXqXpYcDl1+0F1t lbaBxXtS3iIlC56+4YnkeTXuL//zOB4HLabeTDUeblwz5m22knyoGDmrnYxx5RfdF4SqfCxw dijkBhCcyRyzb/dKejAohxuY1/6Yd2q9As60B5pnBDbBoZLQqRQxUaZA8PTn44NKdPFq1CZZ Smgp3vNpRCzHLyhf+I4N4VoZ9N9l0Le0P5C9XmREFFv4iGIrH3FOxm6oJG5EiMkoDrNCzd+N xWyh0lWRBBxNOxqHTxLcNrX65IiGZz2tDsp0lj1IJ8H/9orrhExR9qm3DSycVn3oq6ENMnb2 vn6X05GDd5jFZzCTvtBMTYlAKHjvlCKIBKjZSyb7+Ahv1cipBEdqEoepTisaJSrEd7fKOxqq H+a0WXKdEntMxhdexKqgSY9PsvS6S3pYtqTipyiE6ZtFxIU/My4RJzoydqTgX1ITgG+pZsH8 iRLbR3iqhbmhUBVVtPeR8WuS9vF2EyQmJlXDmGbwxXPcQGZgwuC0DqmtVSaQFwQF7tqKjKnD l4mA7ZTDh6m5bEe+jTEmytI+msraffSigTzgnYrNkq0bUA2Y4AYjIjhhpQGCQJK3MZpBH2WE gymxP+Xl9ZCcyBvpqUwMI440rU3DrfUpJ/FklWrCTCESlZIuYWrrFLxAVdsNAWX1T58WrEWu qB7kE8qhtqaJwtBcJwSq87JtO8H1w4ylKi4ftLPMVGbvh2pTCJJ044YefawoNcvdBFG0SiTy 7DUjdRhQyrtUoGZ6qJitT2Li7Tam+gImw8YN1iYDp9gS9SHCC4h+R0TkB5bqAq06kgZEYZ2l YBuTExFR4erkZtXO30TUt2MMEpW9Y5JvPiXFPr0hV7LJE26Fga6HhTgwu43f9ILt0GYUc6eU uY5Dm31z44Xh/A7NdrslQze7OuhDjMDS16TjpSJ3eq59J8qd9AjiT9IVzBLeMhHlVQ4s1egV PyoIIjPdtWL/cswymz3ZsAmNKeIwwc0VUxSuVTu9SXhoMAlt3l4vBcupRsiE+6ToxGtZq0zI n4hHyVvj9SztE3vpBOEqv0iAl8T8r3frfIe9LD/vu/zj9MlqcXl1Km05Mica9fGy6VxFkqGp Xn6dQspWcWV4PbzCkKyyEXSThpX06TFrJIVwghhOOTOibi787XBao5uohBeoSJKb1yiNVCK2 mbxpeRKKKsdHyR2iPOPknVvFl/u3z1+/PP9+0748vD1+f3j++XZzeAaj/+lZPVCYy2m7fKwG h95eoO3hRtbse6LbxvVGxizyI8ZxQtkOM6hPFYS4FsGI7FTLXjaJUl5/csItNapC0aYRoGJT dY8u7BTbM82noujQQl1pW1UOmBxE0vcwxqXFuEuTncljw8TseyjEcR0CNTlMmZjsQrZsWt5X uJ70PupzzN+PARJrjZ4mtckTD/41wei9nnju2FXT0dr4Evsslen9yxf56U7YIlOiQzCbScNY sVNCDthOI+HOzTx3tkS9eCIoJJQHAxCwrGj0Egi0Ch1fl1RPxHb49izFByKMeco9O377+fSZ P6Bnfbxqb7yNBBDJAFzGFOHMj1xKZ5+QnhJziEH+4sLD8tQG/yzpvThyOBe2knnuAvQkSpXH zGbUsUyzVGcWeiXYOqR6x9HSFYFcoGZ7LTD1bp533Ohup7gYI0K/HlhgZiEjXHNv4sXjpa9L HUDOWFVxnsExfck+40mFecF6WvNZkfrGuOKa7dPKOX6E6MCzJqWQSGyxWjOJrQdmZwrjk5Ay DUekZpRzaFlTti+iDkmfo/8Lux6YPnCp6w+qD4AEtkSWyRRawDdHtV7oUWkTEHkswg2sf63y PhJearXTCEkwKFy7McQiio8s9OyDdptXbUlpIYgUWUsctRME0JBCDg7JQw4h88LQ1WeCfn+2 QM1BE3Dy7mpBywbuDI03PlEYWJHks4MT1jMaKSzl1Y+2sVZ/H/qh3kCAbSOj8Lzee+6uou7u 80+Dlk+Iz90RpBRzLvBNLz3DsESAm61ajnRkM833KQNFoq6yM9xyoM1Lq2JiknR94Ph0Mh+O ToM+iG2TGL2ItH4d9RW9Gpana/sKKzZROBD7H6sC+fmpGaRtyBx+exeDLCvLULIbAmd1R5vu ecUlZ189fn55fvj28Pnt5fnp8fPrDcffFFPSbCp/NCexB7pyrLH6TleVf71GhevJT0OCKWnx lCNAxOo36gIWR7ExVFBOWZ1sQqTdlePhi+sEgwqBAVKzvY0ppSyFUvfqC9y6RU4HP0Y3zI4C RrsAEYT2LXlKZ7NWYRyaJYvL/VU+t662l09QavOZcWubNhDBJuBTSuBkERixeFPCHct9BC92 pElOmZJBbcysY07RS+l6kU8gysoPfGOB71M/iLdWUaj0ad1HZRgOOw2Yhn4cUdCtb0C5Y4XG 2uQaaOjVXfGpqZNVVWiisesVYKlu9P1ZmLV6faOxSwcESgSKv+kED4gqAiN9zYjZbqnTQ75k 8xxsWeTGg6ZuT5jRr0fdGeavLEeXYnVFHclmp3DHVq0JwtNMsYC5a0C7tojz95yvFdjVsE3/ S4+Js5lei5U7XsIqtc55sWyRJQvFvhhy2OCbsk8OcvqemQCjkE8imJydqtxSER7t8ZO9mW61 VtDsDmIxolCqgrig0KCMw8CGUi8bJVwW+LIKJWG0a3oJoxlwC8ZwFVNQoxwSPTRbiqTALXSp JQeVRCEMRooD05hRcK5HibNC4rlk13OMS2H2SR34QUCOCsfF6rXJgrXoe1JWN26qUAULzDnw SWYLVm59h+QIUKEXuaScyAuriQQdJHLphnAcZfvJJHHkkfKkewaqGLpfZ+XHxIgtyoYKo5Bu AnVpSBIFsb0Ebne9V4J2lajg4nBDss5RofWrrUf2EkcF5PQ2zCqdxa2/0srYo+xFiWg0zXUV RqWISNNEpYm3NPtp60Iv0rg22LghjYnjYGthCHAWH1CZ6GO0fW+EwQ6lF4rZm4jEBLGFMW7r vscYN37fIRLq/yrz6H+8oaVTtZRluOmaIGH38UB6Vsskp0/4ZqylgDMsn++2n1PFf4mKtEgk GtmpcgF3CWt3edfdYfyd8gQFhk7SrHMDe7Wyxd42UaChkfB+EzukeHV9dfbIoaOMawlbHgKX Tn0vEUEJTkjuGoCKvQ25gHNUVFMoMIACN/TJGWzapSrO8+mlUJic9BSTEiNbcLZ1nWNdf317 M81ZHbexqEWr7uca2ZZM7S8R6e46kharhgguCNO0UXGWHC4K0YaWnlRPiYlh49IiUhadpMTt 2j2HcFdDT/lqTPurPqfWXet8RpE8AkmXBhSJTBASWYW764dzKsHlIllT362XyZL6rrF9fUy6 dv3zCoyI211GsjVUraXgomrq95paVdTHvIPP+Bw85UGT66OIkLrpi30h84bQtlCij6o8KxKO 6CgDefxCPPmKOTAkY3L+Ep1JlaygnJ9j5MtWC4fpNgEC1XNG/vbCqWR5jEiZU8R0SVHD4GTN BbHkpTcyZTCkgPHBQiVbwYTdZd2Zp2xheSnedx0D7r483k+mLT7urJxNjt2QVPxmS9RgZUw8 UnftzzYWMQdaj88pWCm6JMPgGUsLs86GmqLuJLzWBu5IS7RAChQzOmKq41xkeaNdDoqOaeq+ a8pSyVtx3k3iOsZ/fHl43pSPTz//uHn+gQcJ0q2tKPm8KSVZWmDqHaMEx9HMYTTVq0ZBkGRn 88xBoxEnDlVRc72iPpDzjte0v9TC7VoKOzHbI0nSEpcvtVaXp7nbsLdWRoMojJeWPf7++Hb/ 7aY/m12K/V8pizyHJAP0TNL2uIa7oeSxAsgxN4HoEMt7o0jGcyqxnIemg6nK2LUkXSKQ+FQu rxDPrSL4lifhfDcgGjnmI/rt8dvbw8vDl5v7V6gET/rx/283f9tzxM13+eO/mb2NSwsp+NPi y+fc1DnW2Y1ZLKDZTTsF5vOaPj9//45HY7x2i3zvTntPW8EXOCH7HF7lVSNnDJC+qJKybOQk GxW7siKpm2uV9Uqg4IKxvP8HtS9rh/DVsKQQ3mDWxcrDeIQ1Ohz6v1QgLmZrhEIuqvRX9Cu5 wWkyZjKSHbSweTh4sLQrx5aKOEkSdv/0+fHbt/uXP3VZKzoeuDkO4/3Pt+dfZlH79583f0sA IgBmGYrIifUFlQH1SJrTJD+/PD7DEvv5GcPj/nnz4+X588PrK+a1wAwV3x//0K7GRGn9mV8m UEuUwGdJtFHf2ZwR25hMfzji8yTcuIGxxnK4bMgIcMVaXzmXF+CU+b58jTlBA38TUNDS9xKj xvLse05SpJ6/03GnLHH9jbFBgNIbRUYFCPW3xqbRehGr2sHsIq5K7vr9FbDkQvzXxkzka8jY TKhvcSxJwimKesrdIJMvW6W1CNjYIlc9yJQR1EnOgt/EROMREarxaARFTMZTCPyuj12jtwEY hGZtAA7DlbpumeN61OnfKH1lHAK7YaRXB10bKS8xyuDBkDQ8nIxUxwkVoyufxmxsA3dDXcBJ +IAYJkBEmi+7ir94sbMx+L1stw7FLcKpM8AFbfbJuR1AbTcndjJsPW58S2KI0n2vCD8h05Eb GT2cDl4Qb5SgeE2wpVoenuay9ZmJpXv0iZpEEVNOVdK8iIzWCrCxciDYl6/4JfCWBAfyIaMC Hq0bDbX1462xuiW3cUxI6ZHFnkP04dxfUh8+fodF6b8fvj88vd1gfkZjoE5tFm4c3zWWXYGI fbMes8xlB/tVkIDq8+MFlkK8GiSrxTUvCrwjk4tfL0G4kWTdzdvPJ9iItWJRZwBZ9cToLU4g Gr3Y8B9fPz/APv308Pzz9ebrw7cfUnn6XDqyyCejsMb5EXjR1pAjwjhhPU+9lzmeoo7YWZlz A6wzeGBuGHrk/mR8LKk7iEsMrSkdMi+OHZGVjFKclM9UJbg/1cvD8OnP17fn74//7wH1eT4A sj/uQo+JK1vZXVjGgY7i4gMNVmzsbdeQ8vpjlhu5Vuw2jiMLMk+CKLR9yZGql5uErljhOOSF vUzUe47mSqZhLcftBhnpWaYSeWFIt6TCdwotrfzYu45r6fYh9Rz58lnFBcrDQCpuY8VVQwkf BmwNGxmnHiM23WxYLD/Yo2BxvQgDW2cLMbG8DS0T7lMY1/cGlhN5tro49r0RGxny6Nbk9i7c p7DtOlahiuOOhfAxbQMrHJySrSbDJB0rPDcgnUYloqLfur5linawxdnGdCh9x+32Fums3MyF ztxYeonjd9BY5WkearmS17HXB25m7l+en97gk9k25E4wr2+gD92/fLn5++v9Gyzmj28P/7j5 TSKV7F/W75x4K6nFIzDUrtgE+OxsnT8shygcK8/DERiCvvsHBXVVIE4c2SmJw+I4Y77L5wvV vs88ceL/vYHVH/bmN3wiwdrSrBtu1dKnZTf1skxjsBjnocxLHcebyNM7RYB9w34G3C/sr4wA qKAbV+83DpSvpnhVve8a9X8qYaR8SrlesFtjJIOjuyFvpqeR9FRn0UkqbC8YzJ9t6ZfuJVlY Ex9T5nDfdGLaaXkaQ8eJaVttKsALqcUQseecucNW6+dpNchch2CII8WgUevjUuegl5qMk8oY /FCvRIBpe2IRD2tXgvTqM6lnsBFqlcPUcnSGMDldIvtDLJ0czWmKULb7m79bZ5067C0oL1ZW ETkYfeJFZscLMGWSzhIt3w+PU16b2GW40RJcLO2zJL1DgnroddFX52VAzks/sElIVuyw7+W3 /GRwaoAjBJPQ1oBuKbEVTaQcDBCd7LeOq02DPDXEFSepL59qiIEBHd1z9GsVhG5c/bal60sv 9h0KaHThCEZTakXSw1gt7FPmwnaMFwBNRrDE1Y5ZitNxD7GuzrhAxPrEEZ3pWeTI8l7yskRG xmaR9Aw4qZ9f3r7eJN8fXh4/3z/9evv88nD/dNMvs+zXlO93WX+28guSis9yq/w2XeAKd0SF GwTTngqI3aWVH+j7UnnIet/Xyx+hgV7BCA+p1zkFHobPVDNwKpPP2HJJPcWBp81zAbtqFwoS 5ryh4pLnysyuAWUk3HrGOBUs+9+sfFuP1kzHeRqvLCm4DHvO8iwHVqyqE//xPjeyaKYY9kdr Lxs1olC5tZPKvnl++vbnqIz+2palWkErv2W3bJTQTNg59PmzoLbzdGR5Ot0hTq/Z3Pz2/CIU KUOV87fD3QdNCuvd0QsImKH+ALQlXXtnpCZg6Aa7MeWbg60FCay2qOIRgW/OExYfSupwcMaq Jjgvqd+BeuzbJAjWojAMNMW7GLzACc4qkJtbnqEJ4Jbga9wfm+7E/MRghaVN71myVOBneZnX uSFjqbiPXMKf/p7XgeN57j/ky2QiDeO0mDtb2yrBWuVUy2o1qYdJ5pUbr/Xwcv/jK4ZrGbn6 Mzm3IfwQj1lku4KCMsUBAOFZCwvUMD2YRHcfkvHEz1VFtXVGs7zco9+EWvNtxcYXgEz4freg iPqAuYr1175pm7I53F27nEwxjR/suYfDnGNErUogm3Peiatg2CHV6gRBmSc83z3jqSGtfYGP WF3BfM6u+6KrrI9kjL1Lu+Yg8pBX+Aa0tXNsOPyOHfFmmcKy9JjPr8Pirep4BH4D65jt1BS/ E89mgTZnsWNGElaUbkiF9kwE+PYHHhdu40FlTEEGRhJgG5tCOekq86lfLPSYlWmmCw8HQhc1 l+upzvKuO1E5Z/isSEqYFQVry+ROL+W2qfJMeyF9OpSX2JGLOx9ybTKeYSD1gk8ZqQkABspN skSnl1IdWL7r0qTDjB7HrNKmPceU54yp4L7QEyfwWcDKa5ZSsZiIbRPxtNC4N7/++Hb/5017 //TwzZAlTnpNdv31zgFNbXDCiH5qXiLGzprSSa5xACv9iV0/OQ6sC1XQBtcaTJ9gG+qNEcS7 Jr8eC4wd8KItFQqtkvZn13Evp+pal5YCM3wdxLYMCpKxu4mPxcH+6sd5WWTJ9Tbzg95Vtr6Z Yp8XQ1Ffb4HTa1F5u8Tx6NqA8A4TPe3vQPvxNlnhhYnvrHdCgS8M38I/W9+zFDuTFNs4dumr X4m6rpsSn5Zzou2nlNTCZ9oPWXEte2C2yp1ANyBnqtsjzBF27ZlDvsMoERb1YZzb0KHONsrk 62JpvPIkwxaV/S0UefTdTXh5hw64O2ZglG0t4zy+H11mW/o5TalQoNqBlf7RNopIcNgEEWnG z1ToWFyXMVjXx1IzJRaa5pwg/3zCuJZDNIo6DCNvfeQkYjDiQ6r3qqTuC3xJMNk7QXTJA5ei asqiyocrrt/w3/oEkt6QdF3BMB/i8dr0GHu4TUgqluEfmCm9F8TRNfB7RtHB3wlr6iK9ns+D 6+wdf1PbxM8SV7HaPV1ylxWwqnRVGLlby/BIRHiX/c7wdE29a67dDmZL5r9HPMkjCzM3zNYF cqHN/WNiEUqJKPQ/OAN5GWwhrxxqCDQSNQLZTpax98jiOHGu8HMTePnesfS9TJ8kf7k7mz0U +U535sVtc934l/PePVgq5w725UcQ085lA3kdalAzx4/OUXZxyGk0E2383i1za7OLHuQIZiXr o+i9ehVacmdSSOLtmaRBB7IkHTbeJrlt1yiCMEhuK5rxPkMfOJD9CzvS5udC2qJjn+PFPSwX ln4YaTZ+1efJejdw0vbgupbloe9O5d2ok0TXy8fhsL5yngsG5koz4LTfesot2EwDi2Cbg7wN besEQepFimGpqWLy57uuyOQQcUnZmTCKNreYwbuXxy+/68o2f3uRsCHTIww7hsSj/UAmjue2 0LgVA6g2Hg8VdhXsELAAlv02dC2nVgbZabApxaiGXTF0xNBzq/yQ4LtG+PZx1g4Y93nIr7s4 cM7+dX+xlFdfStmKljFg1bR97W9CY2nrkiy/tiwOleMcFbXRvgITC/4UsciIpHAO4K3jUc50 E9bzN+ZHqHWOQ275tD8WNb6UkIY+9JvreJqm1DfsWOyS0ekv9Fax699Gq9h4DSt7oQkz5trv W+Xh1xHM6jCAcYpD84M2cz0mspbLRhYPRoG1K6mHUHjiqkaYhI9iMrmcQpa1qyWEHp0WZjKU R8c4Kw2fitUxa+NgQ1684oSjDMIROMcTaYuIuQKo9eZ9nZwL6p1HYb+m7eGkVlgNzADsdyro ULneyZevODBGlZvyQ+wHUWYi0Pzw5KNWGeGraZdl1MZyTzvRVAVsFf5HKmppIunyNlGOXSYE bHtarL2EifyAvELCtaBUPRFQUM+5Z2qgoByv7Cb7rtHP3qo0y/UZkDFtQEpcDu/05WnUsvO6 5wdq14+norvVvyx24xvv006yf7n//nDz75+//YZv2uonNvsd2M5ZqbxbCzAem3cng+SGT4ds /MiNaD0WCn/2RVl2IlBNRaRNewefJwYCOvOQ78pC/YTdMbosRJBlIUIua+EcuGq6vDjU17zO ioQyEqYaleCVPQYP7cHIyLOrHA8IcHwyoiwOR5U3DEAdTwPVYvA0BdkCQTyQY/R1ev/ZyBAK XyddlYrztQWG6Yi1d7yxDW42JUWUKq805hEAql2ayxc1+LWfav0GkPEMuMsPmLSb2rgE3fjw t/Y1T3trj2tDIkzsZim1YulpP2ilaud2MqrYwSI29JvAYrcByUrOd8COKXu0GqscFeqmsjV+ 8hNVmsXw8lnz2xhXeXJ2cpnY3X/+r2+Pv399u/mPGxjxKa7RuG1AwzwtE8bGANxlGBFTbsAc 8jZeL9sHHFExWFUPeznDC4f3Zz9wPip3pggXqzu1yU5YZbdAIJgE3qZSYefDwdv4XrJRweZ7 8wgFo84Pt/uD/PDSyDsIyu1ejSpAjNicLEw2feXDBqW8pTJOXUsPLvjbPvMC7emMCSfSnBGV LiRKRogFbORdWVAf06a6Xso8o5BzvL2BSTLMQeLQjHIk6XUjcWqknFQaGvpOYu2F0Kf9vCQi 0I4sz0goRFFM+7NKfOIm19Fn2AvVlLXiHTLqBQmCzJJrSeL8HHhOVLZU5+2y0HUicsy6dEjr muzxPJN1wnfWhOl77nJPb0Cj+jnetD69Pn+DfWbUNMfYQfM+81RV3Ehkjba2dUkF6/l+j75v Ak0ucu9UNM/R5iBtTvjryg8cYS+tacT5kKhuchIuLU+9521Ihoy726ls1pxq5fKK1eZj7UdQ eoxOAqD8HfxcHkHqu7w+9EdSuoCwSy4k6nQktSssenmJV3hJ/Hj4jL4Y+IGhNSB9ssGTWUkM EJZ2p0HnmQOv+72l3qTVtjcOPIH+RW/EvBvy8ragFC1Epkc8uFUZS48F/LrTqwEVhyUFpbEL 7EnL5ojQKsHXB+6svKXc6dpW5F0LShXTy4TxOjQ1nnZbvsvxGn2vtgkzNsgJ0zns022uNf2Q V7uiyzTgvtO+PJRgBzQnpkLBCkzKrFCBUAU/E9egd7kKuCRl37R6efmFn8HrPXC464xnQxSC Ap9GsPQOKI5qNR+SnZygHUH9paiPSa23pMZX1PtGg5ep9gAcB+bGdCzzujlT6zdHNofCnCIT FH+0rbbQCAw5VRDbnapdCXZp5inCgKjDduMYwMsxz0tTcMCKKdIKxtqYdhUMWbcyCFVytwet hlJvEQ2WDBdko1h80x0fDrEXjEeLXW6fVdWp7AsudZa6616T0qbr81udE9ji8TEYkHXbMtjm fVLe1YNaWAvLh+aDIIFBI7cyPpHMG/C7lLgLW3ibKPLMWEImXFrQSYc4TZnU/PA+pdMPjDR3 rF+fi22Hl+0WJmFBFR2vwPhdis4za/McDwpubUX1eaItUwACkYaNKjd6AGpoyxPlOsRls9Lk 44AXegkr5HeeJ5AxZViVdP2H5g4rWDAyVHyiMNQX1rUBFkaW59qijMezh8oo5didWC8ey7WO yAl3/GvLKJOBr8VFUTW9Md+Hoq5sLH7Ku2Zs7vzNBLPv5p/uMtjvzSWAwUqL+UFP9pmSlK0m llM0J6GKzG8vq5rTouiw3dWu67TF7Dw1lbF7BrL25fnt+fP/J+1amhvHkfR9foViTt0R21vi U9RuzAEiKYltUqQJSpb7wlDbbJeibcsryzFd8+sXCYAUACZcNbuHCpfyS4IgnpmJRCb4hZoS D5R3s1A6DAjXNVRJ9/xJYSbbICr2XlyWjwFbMV/S8LRnV7hdlWWS4TEbRuX3gFYT5evKdZy1 YFXKU2nZ0r9+FHUJiCIgjNr7QGULFuRiw8LiALzNq6xdqDNLFLXZIKGyeBKoNaHtOta7w2Db bJjgHaftJr3r44j1fa7fPYbeGMWogSL6DG6g7mTU+NAlKxZSUUGKBXM14g9bwwepTdxAQq4y 2cZNLt6glQFwklGeyi7ds/m/Ibk5hfRWpryZeZJAuhj3Do/0tWXL7iYR+fX+4epvNLL7XWfI 6f0COlfvK4tkLOBdFs720yn0jKWKexhTZscJarJYaaE8B6Bi/5i2k1JCMXRk5gEoRd/DqTVk ZGON2DYNgjYNDJjevVL7OI4vKebWp77SUqNyv3Wd6bqStdJKhlyoTrj/pN2WbCiwx7GH2U7s QeIY42F9IMm62eaf47lY0TSPnM8LriNw/p7PPikcmkSk3tIXZ7DmQfg1MCqgY05moIufD+/v +IJMYqORmWCy0eLcAfEuMbiaYtByN2xT/K8J/9amZLJrOnns3sBje3J6ndCYZpPfPy6TRX4D S0hLk8nL4Vt/Bfbw/H6a/N5NXrvusXv8b1b5Titp3T2/8YsFL6dzNzm+/nHSay/5jEVVEM00 1SoEmrEmYWnPkYYsyai1e3jJJBy2RFv7s+fLaOKiPi8qE/s/afBq0CSpp3NbLQBF8z6pTL9u i4quS8sLSE62CcGxcpMa+qmK3oD/ra1mUj9vWSvGtmW252VLUrtdhK4e1obPJzKO2gUjOns5 PB1fnxQnZ30mJ3FkOVrgMGhRrOOtDPy42B6PkZfBp16ixje9ksXBIq9V9Xy4sKH7Mlk9f3ST /PCtOw83v/ncLAgb1o+dEtqCz7+sZK2f3482w7sYk0wl5OqVAYpWmdXh8am7fEk+Ds+/nMHo B2+enLv/+TieO7F/C5ZejJlc+MTsXuEW26OxqUPpyOzi9B1kU6IpgjQ1099YF1DKRBmmyo73 +6FckBcyJobhTrO8o9YQDyXFLc39hmAkVh8GEf9AdDkEtUjNn3qlKZbWMXY1/I0xM0iJApGs jomRqlCF6xuPbWq2OSSYhB3PUkK89nzcN0JhulszbXOdEtuAl2wQZFScSaZmJFD1jRXbYzG9 VuWRK0QRoa2SFlVqrtsCWTZJxtqzRMFdRnVXKQXLKnL7vWZAbZhqtZJVOhYHDbBVTShqzSPH 9VwbFKiRLNRhxdZZa99mFeaApTJst2ipN+k9rcimrZLxGq5xfF78TU7xb70pF+CYFeMtVcRN u3X1C8QqDCe5n7+4KOlspp5qGljkW7D99pOBuyG7guD2GoWryl08oJPCUzZZGAX42L6NyRbv 69styUHzw9eQKq6ifYBjZImvLgC0FUmSNLEsTGldk7usZjOaUpzlvliUuaXFGizNkjbNF2n9 K1vz0aLv7kbKsGy+Sr+XpkLFJmOCiaU+8GBsMbkpbHuwo7TFd1a7u4yuF+XG0rJ0a4RcUTuy wc81FZZtlcyi5XRm8UdXK4vbq9Rl2XTdGHY5XUVHrmZylavIzABgOuribmBcd0i2zda+1u+o uYzn6aps9FMBTjaVzH6DiO9nceiZGE9FPtL/Em5Jsul+sHEwZd0YVvzc7HqrTSKc2hZLpqkS 2sCFz5GGkVH2Z7carZ9oalCuL9VkE6e7bFHLhFZq1cs7UjNxxyDrF0R5b6xp2giNb5ntm209 EhwyCuZx1DMX4Hv2iLH6pL/x9tkbexMo9+yvGzh7wyi0plkM//EC3c9DxXwj+KfaQtnmpmXN zSOeXeVTGK/V12/vx4fDs5CVcfmsWisdtSkrTtzHaaZ5xsh8i4wZcEtNeF70nWYya8h6VwKo FjYQuUDdLu57o5alXBA8Pf0iAVdockuqyU8+XS9hRZiQgfpb3ldqWEj+s23iSpskAzXGUxcK fAk9O8UXBMGxBY3eUgemFnmUykig5pt5losIWy4EA23Yu52Qx6sYxkTz7a37JRahpN6eu7+6 85ekU35N6D+Pl4ev44N/USbEFa8yj39U4Gm3Af4vpZvVIhAn/PVw6SYFqFOjESsqATfH86Yo VQ9TgWx2GY/vP6BY7SwvUYdczfSSlt5ljaqwF4WeivaupuktW9HRhLkSHTvKMfZ2kZcxdr7E Q2RviZY1gLHLea0VEdf3VVOOtikRh1uE4v4B+yiUZEv7BxgTl9mfzHw5BQ8zVlv80zlHso4z /Ss4qZVumJSpFhTDq7xZFhhQLlltCFV3HB3kB3c2sJk7FojpyAVdx6NP5Dic77Nt5rOPlC6k GLlNCoJBS/irhgG6QkWWL1KyNQaAmakdxkSh+2jpXYrtVwDsthBiSS98K75eoyTrLGRzwOCM b0eduqa3Zs2KBhva10/cp5sS78TCSCY9IKQIAzz4dZEWlAmp2BvhjEUeSksKP4vgHpDqa67U 1uZHoLDwM/+4zHXNmDMsapAVNiBnre8grsVmlY69qhjreF3jz5MN2yiCORkVTO5cPByleG1c hJ4a5vNKDUxqrGcmE7R6OoUoQP7ovWnuBO7UwwP1cA7uEjo1CuREFyN6Y2LoI5zhXE1/yKlm QjhO5N7We5MVErMFuj6s0m3ujZxHHu3pD/KU0vj4G/AAiyQl0WA6qiMjBjzpnzyZNDE9vNaV bB0FgIbjbwZHVNTXvEeNvNg9ObLEtb02pMW9dWAIvU8Y+mS/DWlQ54iBKTAHV0Jix/XpNArM XlddjzlFTXerTY3EjaajUdd4gR6bSAy7ce5FY24yCd3aKU1MIJGa8aomj4O5MxoSSrpLozvY 1An+slcho56zzD1n/kmDSx53Pw52dV2Q+MHQ78/H1z9/cn7mElO9WnCcPfPxCjFSELeHyU9X P5GfjSVtAdpJMfoikdXd1mqQ0ne0chX5vk5Xo5IglbCtHAibvbhX3fBE8/O075apB2vPqL+u KfbELZbnw/tXHnW/OZ2ZMKuv6EObNufj09N4lZdn4eMtqD8kb7LC4lSjsZVso1mXmPaisTFl /Mb6qqLB1GuNZZ0ycZSJJI3ZKBJHbgVpeFxtLQiJm2yXNfcWWHey0L9J+kDw7uPtfXy7wLHK ++QiGv06YDfdRaQlgqhafxyfJj9B31wO56fuYo7WoQdqsqFw/8zacCLP2PfariKGU6mBgtu0 dRYMzSTT01sGS3OPFCAk7GwBAVO0cy/iOPdMTiFZnqeYK3vvZX348+MNGoy7s7+/dd3DV1Vt YKI2udlW+iC9OkZhT/dVS9kCzsTxEtxQaFxvFWMIh0YOPHUTw20/9SuAxKUxdJYwoRtJ0Sdu mxdksV2OHWvo/SaGq3fKUkHvOFV9rXi6LcpdKi8O2t4PbDa1SsJ9xDKKvIHNOYvXmfEBQ39v 9yOjG5jZNDvgOvH9WTQdLXySfiVkxQqC2mWZbkdcN05445lXkVxs+674HU4hATMRnVLNpaCS QY/KZsD+/vdrobLibO9g6hnuXKayYBNIwblIrxjctLMupoxWkGxwlW6y+lYHEghzhgFVvVWN +3B/rpVpsXSqPm0FhX3xZot+0y6p8LPXHbeSmc9Jn7GH8+n99Mdlsv721p1/2U2ePrr3i+au N6S2+Jy1r/iqTu8XuoOlJLUpxWRcJsOtxBXPvvEhellm/jaPtweqWMr5lMh+g2Se/3CnfvQJ G5OTVE4lnp5kLjIat59lNJN8GSU/wlbFRZz9ECc/ch+z6UyRq6ZpV4gt1TQ/idyIv2wFHPV+ xtSY94v03tDlD/Lw0D1359NLp2cUIWyZcEJXNzRLoj9FlxyjKFH86+H59AQeDY8yUipb7dn7 zZfNIjUiE/vtRlr0vU/LUd/Uw78ff3k8nruHC09Eg76zmXn6SzlBj+rTE0ViGLM633uZ2AkP b4cHxvYKOTgt7aC08MxBQ4YxYOaHah2+X66MmwIVGwLV0m+vl6/d+1FriXmkauH8t5ZmwVqG 8ELrLv88nf/kjfLtX935PybZy1v3yCsWoy3P9CctP9EPliAH7IUNYPZkd376NuFjDYZ1Fqsv SGdR4KtfxAl6ep+e2JvMhlFsK5+/vu6YrAIa0A90pUsd14xh1ieK+04xg9szMnMV6UqsqO3o zpacEY/n0/FRXdt7krEksy2WqHesVrRdVisCG692lrLJmD5GK4IpUnB1fmmGFmCUlkDkjNC/ YRus9TG4Cxp6/kzpMwnA/WV/utjgwCxB6YFnoSP8cFHbCT2k4vIKt73SgiFAi/R888L/FbHc 6O8Z/MhBi/T1uB0SqeKEjWLc5iRZahJFM8xhUeI0TKYuGb8UQrE5LkJPKxog303XjqPeTO/J NHHcaI7UXcQB+KxmnAEv0vOQmgE9cLBXjaObYCzRHIsbIxkgUopxjapHcsjt9mknbGPHFjHq yjGz5OjpOaqEFTJDT3glyx3XFUvVO7yXymA61+qVyx7oo5eMEeMOb0+23wQbONAkwle0rBaa d0qP9BcXRwXargT3eH++/ymTCC+VwOk0potkvjdk0Fkd3v/sLpqva39VWkf6p/dZ3pJ9Bq25 VCOKZGmewLu1VNvrAoz4UCfaGjI03H2XmJJUGqkulFHV5VK65fSfKkN4jCns+yo14fyajYV0 cPdXNJJx0ndB0LfPnlhXBV2NyZoU1RNZdZtyTJaBvTWZVkJ8pC0I3q09026BO6v2OFco0Kjc Q235/a71doHVge15nz5s+ABwMhPwK35bdqV63CiQGU+oSPOcQIy98f2LNdmlbZwrs4X94LHA y/JmW40ZWTunlTafZaJrUYiqOEiqNLPbVJaeSxieLdGpdD62W+HRwxS2+iaaYplWFBYaVxn2 GUwFDEQELRwKrJDj2xDftzQOw9AYIQpLnMTpTN2oDEyLaaJiPKNAG1da57bNXR5OdQlCeYgt M/B3leIOdwpnXsbrDVmhApvCVpG8UK8nqZB6WKLQdzH+QQumwER6FgYFXWZ7tvwWBXqsprb4 cONWYun+fsPmDtkm4JsGDadf05M4Q8otZunuoy1pE0HDXDsG+YMRjK342WbPWmKr1mR9x5a+ jem2IRSD59PDnxN6+jg/YB4rYM1vS+XqrqCwRXORasOD1jFvwxGxD/qqdRq/eAE++2wDaEJ/ oemQWI2GB0mWL0rl8Aninxdr7Wslqd1hBp8hF7zxUJUzsbotWNmYopsz+YVwVH1GVoZ7uCBP Zax/topJWOzhoMQdHyYcnFSHp47b/ifU9FgST4PFbtXISwEWpM0rojnpoAyDzRadn6NHWCPu ZrgZ93ufoNdTbnRmB1F41hyMdfdyunSQ+nw8FOsUrluzgadsa1caW9BSLcUsUpR4xdvL+xNS upQYrlZ6ILQbbI8VEA/9tIITQqU+BgKEcaHCloqr4FrtFKUaIt6Aa/b4uKOMJz/Rb++X7mVS vk7ir8e3n+HU4uH4B+uixDCsvTyfnhiZnmLNAbjXxBFYRDk7nw6PD6eX0YND9WImx8YFbRbo Z6HPCzvNvvqyPHfd+8OBjaDb0zm7NV4iX3G7zeK4TTcrLQjiltFoXt5pFM2K853yxfnbfxZ7 W5uMMA6m/B7UJD9eOoEuPo7PcGA3tDzSShD/f8/bCpehh3f+eOm8+NuPwzNr3HHvyOJQ/G9K 1yGxJICsO/TzEvfH5+PrX7YXYehwsPZD43RYpSGTzW5Zp7f9uil/TlYnxvh6UoeGhJhSsetj 9pabJC3IRk0ipzBVaQ1bALhga+dXKgvofJTJrvghmcIJZ/i0IqibnVYioTTbpeb3JOZAv356 m+7EKe4gTzTx9dA4/evycHrtr/SOihHMLUniVr9zIYElJUwc1qQ5iVgcjCTKxGjHD2Yz5EG4 Nu2hl1CvDExU1/1UVCjycVcVySMkQnvxVbMJHNXlRtLrJprPPDKi0yIIVE8aSe6dwZFaMiju VazPasr5wH/ZMNWpjn9ljen7mSpBsR+tCNyG0dp4gZI1t02dbi6fCgo+f+WGbgvzZTdgOwAu nSyP8JnkjNVQ/HdJ0WdGrPytFKblwOKqLPRuFPNRktESr1XrJxB+qmQeIaGeZj2mBJgnyT73 Zu6IYJ7SCKJmoFgUxFEPq9lv19V/+9PR71EZQNNetihiNvLFdUycapahIIZ/bkLcyJLJgXi2 0NoFqRNbBiyOWXILA2ZJqcIHhzRniIqKgMtIJ93saaJ0EP9pfpYgQsgW7Pn4V8gLpK1MRey5 lhtZRUFmfhCYpY1wWmF3IwAN9eifjBT5qBMmQ+ZB4EBcPWX4S6pJUHPT72M2SgKNEGqHtzQm eg5h2txEnpoRHggLoqcc+/8cqLLdeVUQCJPSaIfFJJlN506N22bg9NEMEKlAc6zR4Kw2NM5u VRd6/ts1quDOMbsPA/yZXlQ4DY1HGaXNlkwG4OkJmFyHnSppfMZSwbbF0PgdtXqFZ/pmDZQ5 vmAxwNMejaKZ9nvu6vjcnxtFzy3emCSZ+yEWuZctk9wERBL1NHNfudP9mBZFknY1x0C+4qkD ZMwIA37fejEJmcMCtqo0arrZpXlZQayPpk+VMezMwlijsq8zJnEoM2K9n6nx5LMNcfd7s6rC 69is6RVuYtef4askxywmSI7N8RVUYHjcW5DHpq4dcxzU/11AipsqEFw9/D+QvBBzDwZbaqin yyriigk7mPEEEF9PigakuWUr4efGkBMLfObDqWVIFOmm/c0ZBpKkbsh2pjlHC5HRHCZcQd+B aGx6k3GkKiJIbbIvjZ6vN0ETOvaupwkXt4syEY7bqLtRwUanUW7Dp83UyAlngPqNgJ7q0yma w1bgjut4ShdL4jSijtpGPW9Ep8GYHDo0dEODzApwApM2m6uyt6BFnm7AltQwwpZaWTT3j9cL Evc3tT6EjCR57Aeqvb25y/2pN2XD02hgsFx7crXAvdSWoWMbatKkuu8L/Xe9f3jKWqbT60mm QbqpU7YHW6Ixjx+WFpy3Z6YxjwTYyAuxwCDrIvbdQKv2tQBRwtfuhV81pd3ru6ZWkyZnU6da y4MoZQnnQPpbOUIWRRrq4i38NkVPTtPP4mIa6ctJRm5B4sEMuAWdTXUXMBon3rS18EMdsxoy cdBV5Wl7KK0omgRr91s032smabORNAVGO6+jvaSGyrGSB1f8RiXlEMJxs8oHo8H6+CirwJ1w RBJm1QKDM6jvKOhQvOgWYUWkVf+cUqjyGGO4HkjintOjIjRdrTFei2PaqDAw2a5/01KcnyYH MVFs/k7BFM26ywAvNASqwItwL7fAdzVZLPD90PitqYdBMHfhboEa9khSjTcGcw/bJgCZar5i Qej6tSk1BmEUmr9NtQeo89CqqTB4hppsOBAZJc1CXOIMRO4qnRVbjwCYTc1WsAqy3lQTVKNI y9pXlQ1cqFIo1Pdd/SJgw3awEL0AyGSqUPUwLELX036TfeDM9N+ROg6YEOPP1CNUIMxdc59m NZxGLlz5wrc8hgfBzBk/NbMp2xIOHUz1ETuZaBbFV/KT6TJ44z5+vLz0Yf9H81/YVXmSAXT6 jwoQl40gpFj3+vBt8M/8F9y5ShL6pcrz/lhCnPjxY6XD5XT+khzfL+fj7x/guqq5hAau5qL5 6XMi6NrXw3v3S87YusdJfjq9TX5i7/158sdQr3elXvrKsWS6Ab4eMER2mKzIv/uaa16ZT5tH W+qevp1P7w+nt47VxdypuY1qqu68guR4xhIniPjM5HYuc03c19Sd463AIF+/77coVo7l5uVy T6jLVBHU/FJUW2+qCo+SgG4Vq/u6bD3wasIhCN37CQzX6ky4WXl90jBjwowbXezD3eH58lUR mXrq+TKpRWiG1+NF76Nl6vuG5zonYbsTWNKnjnbVXVC0kBXo+xRQraKo4MfL8fF4+YaMoML1 HD1337qxLD9r0CFQTY8h7lRNKrhuqKsumeK33q2Spm1t62arPkazmTBlXSU3RjFN6/2Hmx8p 1je2Rlzg6udLd3j/OHcvHROrP1ijjaaRZn+VpHBMUlMqSpIu+WZOOPo9uOzrVGqGghkmTUmj mbD/fs6AGxpvin2o2TN2bRYXPpvkU5xqTDgV0SUzhrA5GvI5qp1YqID+rSqEV1dO05wWYUL3 o+kr6eii0GP/W9mTNbmN8/i+v6IrT7tVmYnPPh7yQEuypVhXKPnoflF1uj2Ja9JH9VHfzP76 BUhRIkjIyT7MpA1AvAkCJA5Ofuy+m5Iz8cSKsAvAuW09+Bho//ihHWdV1p9+d1mM9EvYVEMH ugg3eInDc06R4sYfQgHj4hw5RRlWVyRWhoJckYVcXUwnVOtaxOML9sxDBL1/DDL4+JKT2xBj C1Lwm8Q+gN/ndDcj5HzOj42tF7U5pSRro7MqJ6Ic2RcbGgIDNBpZj1edGlKlcLKNiYhLcRPu kkKhxhPS/i+VGE9YaUyWcjQnrMyodm5AiVrOaZCodAvTPgs4XREOAzg4nOMBIZYWkhcCzdh7 QFHWsCBIFSU0W0XI4Ie+SsZjNmMaImb2S0K9nk5pMkHYd5ttUk1YoTeopjMasEOBLlgHvXbA ahj3uR38TQEuHcCF/SwHgNl86kTemo8vJ5zb+DbI03ZM+1shBZtyfdhGmbpT6mvTkAtaQHo+ ZnXKG5gNGHoiRFLmoT0kb78/Ht70WwvLVtaXVxeseosIskbFenTlXLl2h5B6C8zEyk5u1gPZ l0OFINwWINOxffhnWTCdT6jBaMuS1ddKCjsx43EWzC9nU3/vtAj3gHHRQ6eqoZMZrNnhs9Uh GyrtWmQiFvBPNXcfC43vKjeJenr70GLe3WC24XNOkG9a0ebu5/GRWSTdQcfgFYGJ8XD2B/pz Pd6DZvhoxZ/GZsRSG3z2D+2klSo2vNyUtSEYONZr5NzoYTFUkLJn5wrpusE3tj12H0EUVjEt bh+/v/+Ev5+fXo/K85EZkN8hJ6rX89MbCAdH1nJgPmHZVljBxqfPyWI/n035UHoKxx6mGkOs bfCaAc4t/qVlNp66zzLIA4eIR5Rr12WKSgY7/gODwQ4UTNAbNX3LyqvxyI3EPlCy/lrr7y+H VxTOWOa3KEfno4zz6Vlk5YRK4/jbZWQK5kmMRthYCGkJtmEaA3e37cnKyjny4pKNBJwE5djR 5TBv9dz97bKzFjpgQlCmU1pGNT+33y71b9rjFka5NsCmF3QEKpSxSAhgG8rK3xpDSq7nM/v2 Li4no3Prw5tSgJR47gFo8Qbo+MN6y6KXvh/RK5VbLdX0ajpn15//Xbv2nv45PqAmiZzi/viq 3ZqZspVMOB+QotIkFFLZfjoG6f1MLzAYOPfUQSITyCW6W4/I/WIll+wFQrW/cgWy/dVQkmUs hGMnKP5MR7Z50jadT9PR3vU8/8VI/Z6PcsdRJ9WVcwmFPssDvOMXxepj7vDwjDeEA3wEb4Kv LgeeuZOsUfGFi6DYkLD9Wbq/Gp3bjjsaYms+dQYKybnzm/DyGs491uxMISZ2QEixn44v58Tb nutYt3Zsdwv4oU9YIv3vshOJvhEr6ixKmzgNwgB//4KuZtN7IL533iOfLSsM4Z8NfKTC1k1p H1RkNjt2muqYb72swPjUPlB2vUtpGQBok1FqkUp+Pbv7cXz248gCBt1WyPqEXiTstaYI0WtE h2DpxTG37K7oEvNhkADEXWj/IqjtNBTAbaPasiJ3Ma0tfvvA7GJRaEub1c7uhMbUCRPcTDPD +Pqsev/2qgy4++FoE13QOMwWsMmSMoGzMiZxnBZB1qyLXKiQ0kOOr/BxG7+0qQspiSW0jXQL t3E6pD2/bm0ykW75cKRIhcs0yfaX2Vc3ejQhy5I9jGrX34EulXvRTC7zTMXGph3qUDgqXo+U CRQfvVrVLsoyLvKoycLs/JyqsYgvgigt8C1VhhEb8wholPGLjttNW2Yh3EYb7662zRZGhW+e jMm1Ol1FVgvR2h46yIqpxP8VfgJnCPz1eXjB5Drq3HnQl+Fc2j/0PAoC3kURcWW2YY+ZU8Vb m4hJUtQHvDDV5KEsqAt7C2oWSQ4cA7Z7wDbCDZQRCuuSNN9mUeb89Hm+Bkv4n9fQeHf29nJ7 p8Qgl+sBL7VvezLtNI0v3DRCXI+CmhvW5xEo1CMiLa8qNjLoYrqxOCaUn4VdYjYh2z5c8bg6 9iHNioVWLBQWNwMta/LE3sGZ09Q8SviDa0rFoCb0OFG+hiWuA8+mpb/5h6+abCU78mpAU+gI WzMmIqN3yCSIZqMBXCaCeF9MGKwOXWDdKOu2YEa0m6jHdo1um1BiDEQtTw3EvsDCZbQaSpir 8CEfusVOQgM/TK7KJjcR1S2czgDrObxwNHyKSIvADeCNqIokE1eQReSEYgBgEdhKGkZohpHZ 968KdgR6zy8OQ9qLcHVxNSGrqAVX4xkr2iOahqhESOu/y901eX5jZdYUNNl2lbD38lWaZFSo AYA+UoJapnR7Sfg7j+xUQbBOaP5BkBgxOU4YUoGy9ygGORRO9hLzYfDqVuH6wJp7COpKpQ0Y jhgEUp1XRGnYCtTrQKdbVmjzzcdxBVzShgVvIdG+njS2W0wLaPairsmlmEGURZXAVAbcYjc0 VRRsJIlFCphpQ1l/C+IL9KhMkXytM7cPM1Kyj7JaaFc1G4wz+WURWvIE/nJD8EGp2SIA3mQx IBklMBOAoV3vwEDMBlvvCJQrcZLbO9Qqs5slBsV03kb7U/TFNNP6bRfSvy4NTAchGFbk1OeY fRwjzXOi395pCP5undab7YzCv26KWlAQ22ZEsBkTEVHkcAxEXfxU8lGLw1ghbAI2pNkJmbvf Da2j1bKaOKthUes5YajzJO3ozTKbeMtJgXBI+ULaL9zFYsDMQjEof5EojFq1XBt0VMkk/wIc M2FDiZqSgduqK7qERqgw6PSG8/jssTO/rQC0Ey8Y8E1VW4fgDWgkzuoa4hO43FyGpWE63wic Nnz0Sgx8izFF1knOLQD4HnQ8TDdCsogRMAguKzq6BJvoNal+8zVsI2faDIhhWi1isUngoM/R JSoXeFbRULonIvQmGucFD+9bL058rXYw0wsFD2prTjCz9bKirF7D6IRCO5zFGfCZt9oYsvbH BYxGKq4HYMAGwkTC4m7gn9MEIt0JUDmWRUqiAVikqFvtWUwWQc+L8trIW8Ht3Y+DJWItK3PM WAtEgRQXGFiWLUUMfLdYScFdcxkab5FocLHAjd2kJFG6QuGarziYF6e2x3QNsSW8tqu62+Ef ssg+hdtQST2M0JNUxdX5+Yhne5twaZaBKZwvUL8YFdWnpag/RXv8f147VXYruSZLI6vgOwLZ uiT428TbDUDmLzFA82x6weGTAqN8VVH9+cPx9enycn71x/gDR7ipl5c2s3Ir1RCm2Pe3vy67 EvPa2ToKYGas19ERKne8iHpq2PRFyOvh/f7p7C9uOJV0YzdAAfDGz973CojDhqnrE+JEpyOt xEkayshiputI5nax5tqhE+Hxn/4YNXcqfkttcb7SMc2hrDrK2MM6tYcyrcz4c5OJaLMampn9 4EUwF8MYak1BcJesyZRDMhko+NJ2yXUwF8NVDpjZOkTcy4JDMjlRB/cm4pDMhhp/Ptgt29PV wVwNYK6m54PNvPr16F9Nh3t5NeM902nLLngHZCQCpoiLrbn8dTHjya/bCjRjOgoqmD0FmTrH PHjCg6fuIBgE94Jo4+d8eec8+IIHXw3VPuaDfhCSX7Vw7DRxXSSXjXRrVNDNQFGZCBo4ruwM bQYcRJg1i4PndbSxzQQ6jCxA4xK52wKFu5ZJmrIvRoZkJaKU3qx2GBkNpKs3FEmAiU05E7eO It8ktd9m1fmE6z+Ip2sSvhMR7ZnYm9blCS5i9tgityja4exw9/6CL8ZeNgtMNm0fLdco5X3d YJZTR9svI1mBUAOTgGQS5H87d6fcACo0xfVahZbrWww7koBowhgUjkgKVAB4KqOsYaqFSj2g 1TIJ+OhqhnY5ICuCnoMSvb7LZm/NoSGBkvgxM2QcpaV9JcaiMUNL/PnDp9dvx8dP76+Hl4en +8MfPw4/nw8v3bloRJa+M7Y/VVplnz+gj839038eP/57+3D78efT7f3z8fHj6+1fB2jg8f7j 8fHt8B2n8uO3578+6NldH14eDz/Pfty+3B+UYUU/y/pG8/Dw9PLv2fHxiBbYx/+9pZ4+QdDE olLKRrMVEhZsUpuEM5ZYwVHdRJIE7lFAGB9QIHNQRjn7nJ5CpKlVDVcGUmAVA4pZgll9kKgI rDQ/Q5ViFCbYzjQhUH/5yo+RQQ8PceeQ6W6x7g6lkFqnthU7lUSGBhnRsCzKgvLahe6JQ7AC lV9diBRJeA47IyisMMM69Wena738+/z2dHb39HI4e3o508vTWgmKGPVzQWP3WuCJD49EyAJ9 0modJGVM4+EShP9JTFKyWECfVJLMIh2MJezEV6/hgy0RQ41fl6VPvS5LvwS8GPJJ4SAQK6bc Fj74AebrUtEjTW4gSrVajieX2Sb1EPkm5YF+TeofZnY3dRzRhEctxg15qbWk928/j3d//H34 9+xOrcDvL7fPP/71Fp6shFdV6M9+ZL/gdDBF6DYnCmRY8SYJZuVlnC2Y6f5GbqPJfD6+MjtI vL/9QLPJu9u3w/1Z9Kj6g6as/zm+/TgTr69Pd0eFCm/fbm1t3pQYcFcTZsaCzJ+BGI5hMRmV RXrduhi4ZYpolVRj1n/CdDL6mmzZ4YkFMMetN2ML5euJZ9irN0vBgpv4YMk92Rlk7a/ugFmy kR1krYWlcufBiqVPV+p2UeCe5swyezO63knW/sFshtgabmewQxDa6o0/UXjfuzXLJMasfwPD lwm/nTEH3HM92mpKYwh8eH3za5DBdOJ/qcDMaOz3sZPJ1qVYpGIdTU7Mrybw5xOqrMejMFn6 zInl6ycWeRZyWkmHZD9JYHkrKyE2zFHLc7KQuA6aHRPb2TB64GR+zoHnY+awi8WUaVWV8RqY QdcgpCzY3Aktxa7UtWnucnz+QV6oO57ALXyAOnFG3XksdjR1gIPoQ/h4+19g/PqEu+zuKFCp cEIAWThuChE+EGu+PR5Y+6oWuVT/DrJUbnIiWYKGc4KTZjOvvHpXsIPWwvs+6xl7enhGg2oq g5veLFNhJyE1PPCm8GCXM24zpzcntonzitRC20ckbTd8+3j/9HCWvz98O7wYX/8jDVBi1lJe JU1QSvYdyPRHLlTwqI1XqcK0XM+bU4Xjs2vbJNypgggP+CVBLSNC+01btraESfMKbUvJP4/f Xm5BJ3h5en87PjKcHD1SReRzPeWpqjmisc7kZqqnGu6nkEGskzoguV64bH0a9YvqNNGJ9YE0 nchjFXaKjEUbRg4iXXITfb46RXK6zYbsFBPo+9bLSad72XFyt6h4x3wI+lWWRXjhoG4rMNsH Ub4Mstws0pam2iwGyeoy42n289FVE0R4PZEEaO6ibV3sZpbroLpsSplsEY+lDNrDmGq6Qqwi Lkw2zYEqLpQgj5/zNyzJKsckOpF+D8ZHVtXihLFlDtDx+y8lML+qpNGvx++P2or+7sfh7m/Q pi3TR/X+YF8nSeKV4eMrzAdKsdG+lsIeR+97j0Llk/w8G12dk2ukIg+FvHabww+JLhl2NOY4 rmqe2LzV/caYmCYvkhzbAFOe18vPnev7EG/StwD27YCBNAtQ2YDlSis8NT61Cwkk+YoKDGgd zz/xLxKQUDBtpZ0sqrVBB+ElD8rrZimVCbO96mySNMoNtt9/hQxZOQ06nkWgnmYLkjRVXxba 5vadIXyQuIZgio3iy3mQlfsgXikLBhktKQMIQDuDk4LlHMGYyH2wiT25NmiSetMQcSMgnvn4 s8sL4cGBc0SL60unST2GfxNpSYTcwSo+QQGzxvfrnMgzAf1lZzdPFr5eEVjvtFqNsCcoD4uM 7TGILp2NDIWipaoLv0GGDeczlYwU1JOXQFBiSkYoVzLIQyw1SEk8nG8fyE8MuQJz9PubJrSz RenfzZ7m9muhylbftVCnJIk459dGixeS9yXq0XUMu4sz/9IUmO7Rb+8i+OLB6DT3nW9WN0nJ IhaAmLCY9MaOrG4h9jcD9JaMbHiBuhwW5FVdGb5uRdqgomWfz1URJMBUtpiNRdrZsfHeGxhK lFEQifwOP9BmqgfkERwYCAVGpJ4M7Lq0VKeKaHYSnRWhGwsSLD5UoZuDVEhExhF1yelKqKJ6 U/q1d/ga2HtY7HKfBAF5kZuyMaZ1SbEy0qDeTgqAQcZfpyFOlMkJ00gzGN0xxD29rFI9Z9ZU psWC/mI4SjffKlk84WnpTVMLYvmYyK8oVnI2vlmZkOgz8GMZWvWg3wiaysMpZvtUoE9NkTrD nxeIUDdsFikwYjLQ+I6Vr+wuWZ6yziHv9lazQOVkklRq3Ha9V133ZGFELAV9fjk+vv2tPUcf Dq/f/RdBJWisVeYpIhBocCAGchEG2pkEE96lIB6k3QX7xSDF100S1Z9n3di3EqlXwsyyJsVE 8G1TwigVnMV0eJ0LWASucRYBO28vIJsvChTdIymByslTgvTwH8g8i6Lin1wHh7VT+Y8/D3+8 HR9aAe9Vkd5p+Is1CU61qJZypmwSGqktc8ejiTU+uJpK4GXojJTxz58yEqHOOVVxV9FxhH6U aMAHTMt+J9ANqrTxK1oMZaIOrPPexajmoYXxtT+ay0J5EW3yoDUITTBCCXvDqLbSTgCD0p0u C8XAbRs0G+62V9e0i8RaJbwIyo29w357Yv7LTibW7qzw8O39u0rLnDy+vr28Y0gr21VErBJl 7iUtWdwCdg+RUa4Sjo3+GXNU2imVL6F1WK3wwR6z63z44HS+8oajZRONnlp3Wir1pKQIMvQE 4fk4LWngoVddWqjJW69Ci6P6v0w3gs4drbcNQLR63WJqUMg1KS1ccKPaF4cfRNcq1TVXIKDh zzrJN3DmilpUeGEUJ8HnkWV4sagE98YMSrPI4f/FtlnIYh2R1+XfWjl0ptDKL2LmCE31PB27 fb3uyrW4OXJUUHcxLDO9t9XFIV4duOxUq69BehgwfVZo2HhVkQ+pxX0twHiWJ0h2fAoEjdS2 udwiUMusHTE4B1PY6H4nDeZEDdrgYIMHEK/eBzHIc5oqysNB3xZd2jbzG7HN1NsNGtWcaAdQ Sd7rucOXK1B6Vtxg9HKlpk1kvREeCx8A6yRJylbCRa1RbENB2vsoTlaxIxh3215UwrcfUVDm ZlFjd4XEWwfgKUCV1MkNRu8PW/XJtdXoV7s3mTG6/bubRNGfFU/Prx/PMHjs+7Nm9vHt43db /oGaA7QWKYi4TMDokLaJPo8pEkWmYlPb3KIqljXeNaCM3ibJYBcNopoYXbuB66ztUdbcrEN1 lYwno+5GBoQizISSWWSqRX05gyRuT3ZfMX94EIfFyh7y02Onbczg/Lx/x0OTYUN6+zgSmQZS /y8FU3b+dvVc2e6k48Cso6j8BScCpS8rfRMF7JTFl//79fn4iG/g0N+H97fDPwf44/B29+ef f/5P3yvlKaPKXSkZvss92snMxbbzlqHCNCKk2OkicjjhhpqtCHBABpmNBN1tU0f7yDvtTRpa b6vz5Ludxqgcj8qezSGQuyrKvM9UCx2lDWFhVPpcsEUMdkYrcNCCaOhrHGlUNI3GxDFC1STY a+jp41xK9J20Na5u9S3JZ6ys//9ZKqZW5S+Piqdi3X7HDIa3RgzWjr+9Eq3ROm6TV1EUwi7S t23M0aePzgFm+LeWR+5v327PUBC5wytoRg3BC+3BKSupy0y79FYuRHlJJVpy7/U5PNzzJgRh C1UyjG3nuaETFjTQYrfBgYRRAUlOpH6MCBlsWElJ70mayrkDDg2Bs8h6LQs+UelGmHVkkQwt NosExCarJOt+FXCgzjRKTeuOhcnYqUDyuTIRF331PJhUs5VlbbNSSxaUpqQIbV5Mh88T4762 KpdUytbgotFehiCY4gWG1Su8zs2D67qwrkhyFcgQWmNpd0rO6BRIFmsUfjdYBYNsdkkd48VO 5dag0Znyi1e2lTJ0SNChR80AUiot1C0kaD/UpfRI3WqMNdU4TdS1BpR3q3siN/2jyrmo6Mk7 GaoxOLgVdAxkMXd82lMQL8LYZnvlmRsnt6CW0D/6ukEnVze4Ss03vG02nVFeFFdC+AkC6BbI XctTJO0AnKxGSSc+gZnZHSzVfjz6Hui5a1cFx9Dbaa9yUVZxQbiGgzJXFjCNrLWarmoBvB/m GFjVEiN+EEGD4KIhXd2gRQ5MWuBLp/7OeRI0VLDYDZ4dubbSE2O7SNcqTIhKH+owqF7TVmnv 9QrnxtFsYU1gX+blsJk7KB3cdsNoL+6hIVXbgTyX9jy134QnL7JNZSJVd944cNwqqYXE+/sh 9m9VZpMONagLk6H2mUr8OOBN0Q8Rbu3hM6oSmIhkoBB9TugLaO+UvX15IKds95kK/FSHm6w0 yeqZnm/ynY7O5F7uWQ4wLcXQ85Y+Z1y3bSrWMPcr1TRoNjDUAzlZCc1AdlZCwweh7Ggms/Ho d+rr6H5RZ0fHhsnVsmYQhUHA9DzKkrgY1kTMmKnim0vHu26ADEPccnFq2tlBkiXeIuKBJQvv fgGKSfIg3YTR5w/3uJo+He8O93d3f1bOVSecG95Daw9zC3l/vGut8P780RUUCZm2dhZr+ySF AjCeMgNC84l1hQHFmgr/sseUEnU0TZ2xxqgdtSYqkw1fmEJH9WI75nwbLTodqCuqs+meazme Kp4vtIWunfjbrfBHd7X9zlQfXt9QHcJbgQCzxt9+P9jbfr3JWRMEoxbg00sh+/AadruKpZKg hul5WeKX8Tq6+7I19ZnRl1EVnGLFtuXkpaXcttR915BM3zcrOwAh8UaUvbJGSnxZkZsMeS95 YNFIEMmEjIQ2SBr9g0Hyu4seCeKjkqD0fYFjWZmuQztwnDLgUpZIlZbM+oMQMVmS41sPK1ZE /UfmwDY6qFKbXU1kgU/p/smEL+BVkRZZ4Z8wRlSzH+OdYs1bLvPcazs8UYxqexzt8XxxoO1L q/bXq3xkRRyvtP0bgOti7w2eNsZiV53C60feoaHdbGhAQgXcK6OD4SIxggZyymEKifY3Na7C oYqpgY4CgbxgCe1womLbedFH0S8Tme0Em/pRj6MJb0A/23iPtRRPbqaHykbfOJC5/XlVtmoJ s8bhROO5ju4Lrjl8mrBjXkSZ+wx/ksF5DoL6tf3/ADVm35xx1AEA --/9DWx/yDrRhgMJTb--