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 CAAABC432BE for ; Sat, 28 Aug 2021 22:33:56 +0000 (UTC) Received: from smtp1.osuosl.org (smtp1.osuosl.org [140.211.166.138]) (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 754FF60720 for ; Sat, 28 Aug 2021 22:33:56 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.4.1 mail.kernel.org 754FF60720 Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=pass smtp.mailfrom=lists.linux-foundation.org Received: from localhost (localhost [127.0.0.1]) by smtp1.osuosl.org (Postfix) with ESMTP id 4888F80CA8; Sat, 28 Aug 2021 22:33:56 +0000 (UTC) X-Virus-Scanned: amavisd-new at osuosl.org Received: from smtp1.osuosl.org ([127.0.0.1]) by localhost (smtp1.osuosl.org [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id KrYpJ8jLRwLf; Sat, 28 Aug 2021 22:33:52 +0000 (UTC) Received: from lists.linuxfoundation.org (lf-lists.osuosl.org [IPv6:2605:bc80:3010:104::8cd3:938]) by smtp1.osuosl.org (Postfix) with ESMTPS id A726680B6E; Sat, 28 Aug 2021 22:33:51 +0000 (UTC) Received: from lf-lists.osuosl.org (localhost [127.0.0.1]) by lists.linuxfoundation.org (Postfix) with ESMTP id 92419C001A; Sat, 28 Aug 2021 22:33:51 +0000 (UTC) Received: from smtp1.osuosl.org (smtp1.osuosl.org [IPv6:2605:bc80:3010::138]) by lists.linuxfoundation.org (Postfix) with ESMTP id 716FDC000E for ; Sat, 28 Aug 2021 22:33:50 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by smtp1.osuosl.org (Postfix) with ESMTP id 6044980F68 for ; Sat, 28 Aug 2021 22:33:50 +0000 (UTC) X-Virus-Scanned: amavisd-new at osuosl.org Received: from smtp1.osuosl.org ([127.0.0.1]) by localhost (smtp1.osuosl.org [127.0.0.1]) (amavisd-new, port 10024) with ESMTP id YHFFBp3be3A5 for ; Sat, 28 Aug 2021 22:33:46 +0000 (UTC) X-Greylist: domain auto-whitelisted by SQLgrey-1.8.0 Received: from mga02.intel.com (mga02.intel.com [134.134.136.20]) by smtp1.osuosl.org (Postfix) with ESMTPS id DEBA580F5F for ; Sat, 28 Aug 2021 22:33:45 +0000 (UTC) X-IronPort-AV: E=McAfee;i="6200,9189,10090"; a="205335593" X-IronPort-AV: E=Sophos;i="5.84,360,1620716400"; d="gz'50?scan'50,208,50";a="205335593" Received: from orsmga007.jf.intel.com ([10.7.209.58]) by orsmga101.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 28 Aug 2021 15:33:45 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,360,1620716400"; d="gz'50?scan'50,208,50";a="465772905" Received: from lkp-server01.sh.intel.com (HELO 4fbc2b3ce5aa) ([10.239.97.150]) by orsmga007.jf.intel.com with ESMTP; 28 Aug 2021 15:33:41 -0700 Received: from kbuild by 4fbc2b3ce5aa with local (Exim 4.92) (envelope-from ) id 1mK6tO-0003nW-Pg; Sat, 28 Aug 2021 22:33:38 +0000 Date: Sun, 29 Aug 2021 06:33:09 +0800 From: kernel test robot To: Sven Peter , iommu@lists.linux-foundation.org Subject: Re: [PATCH v2 4/8] iommu/dma: Support granule > PAGE_SIZE in dma_map_sg Message-ID: <202108290618.OUo2tHmn-lkp@intel.com> References: <20210828153642.19396-5-sven@svenpeter.dev> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="OXfL5xGRrasGEqWY" Content-Disposition: inline In-Reply-To: <20210828153642.19396-5-sven@svenpeter.dev> User-Agent: Mutt/1.10.1 (2018-07-13) Cc: Arnd Bergmann , Hector Martin , kbuild-all@lists.01.org, Robin Murphy , llvm@lists.linux.dev, Alexander Graf , Mohamed Mediouni , Will Deacon , Alyssa Rosenzweig X-BeenThere: iommu@lists.linux-foundation.org X-Mailman-Version: 2.1.15 Precedence: list List-Id: Development issues for Linux IOMMU support List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: iommu-bounces@lists.linux-foundation.org Sender: "iommu" --OXfL5xGRrasGEqWY Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Sven, I love your patch! Perhaps something to improve: [auto build test WARNING on iommu/next] [also build test WARNING on v5.14-rc7 next-20210827] [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/Sven-Peter/Support-IOMMU-page-sizes-larger-than-the-CPU-page-size/20210828-233909 base: https://git.kernel.org/pub/scm/linux/kernel/git/joro/iommu.git next config: x86_64-randconfig-r004-20210827 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project 4e1a164d7bd53653f79decc121afe784d2fde0a7) 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 # https://github.com/0day-ci/linux/commit/fa978f84667cfd7d8cb467899da60c08321798a5 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Sven-Peter/Support-IOMMU-page-sizes-larger-than-the-CPU-page-size/20210828-233909 git checkout fa978f84667cfd7d8cb467899da60c08321798a5 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=x86_64 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): drivers/iommu/dma-iommu.c:935:18: error: implicit declaration of function 'phys_to_page' [-Werror,-Wimplicit-function-declaration] sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_length, ^ >> drivers/iommu/dma-iommu.c:935:18: warning: incompatible integer to pointer conversion passing 'int' to parameter of type 'struct page *' [-Wint-conversion] sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_length, ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ drivers/iommu/dma-iommu.c:982:9: error: implicit declaration of function 'phys_to_page' [-Werror,-Wimplicit-function-declaration] phys_to_page(sg_phys(s) + sg_dma_address(s)), ^ drivers/iommu/dma-iommu.c:982:9: warning: incompatible integer to pointer conversion passing 'int' to parameter of type 'struct page *' [-Wint-conversion] phys_to_page(sg_phys(s) + sg_dma_address(s)), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ drivers/iommu/dma-iommu.c:1068:18: error: implicit declaration of function 'phys_to_page' [-Werror,-Wimplicit-function-declaration] sg_set_page(s, phys_to_page(s_phys - s_iova_off), ^ drivers/iommu/dma-iommu.c:1068:18: warning: incompatible integer to pointer conversion passing 'int' to parameter of type 'struct page *' [-Wint-conversion] sg_set_page(s, phys_to_page(s_phys - s_iova_off), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ 3 warnings and 3 errors generated. vim +935 drivers/iommu/dma-iommu.c 913 914 /* 915 * Prepare a successfully-mapped scatterlist to give back to the caller. 916 * 917 * At this point the segments are already laid out by iommu_dma_map_sg() to 918 * avoid individually crossing any boundaries, so we merely need to check a 919 * segment's start address to avoid concatenating across one. 920 */ 921 static int __finalise_sg(struct device *dev, struct scatterlist *sg, int nents, 922 dma_addr_t dma_addr) 923 { 924 struct scatterlist *s, *cur = sg; 925 unsigned long seg_mask = dma_get_seg_boundary(dev); 926 unsigned int cur_len = 0, max_len = dma_get_max_seg_size(dev); 927 int i, count = 0; 928 929 for_each_sg(sg, s, nents, i) { 930 /* Restore this segment's original unaligned fields first */ 931 unsigned int s_iova_off = sg_dma_address(s); 932 unsigned int s_length = sg_dma_len(s); 933 unsigned int s_iova_len = s->length; 934 > 935 sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_length, 936 s_iova_off & ~PAGE_MASK); 937 sg_dma_address(s) = DMA_MAPPING_ERROR; 938 sg_dma_len(s) = 0; 939 940 /* 941 * Now fill in the real DMA data. If... 942 * - there is a valid output segment to append to 943 * - and this segment starts on an IOVA page boundary 944 * - but doesn't fall at a segment boundary 945 * - and wouldn't make the resulting output segment too long 946 */ 947 if (cur_len && !s_iova_off && (dma_addr & seg_mask) && 948 (max_len - cur_len >= s_length)) { 949 /* ...then concatenate it with the previous one */ 950 cur_len += s_length; 951 } else { 952 /* Otherwise start the next output segment */ 953 if (i > 0) 954 cur = sg_next(cur); 955 cur_len = s_length; 956 count++; 957 958 sg_dma_address(cur) = dma_addr + s_iova_off; 959 } 960 961 sg_dma_len(cur) = cur_len; 962 dma_addr += s_iova_len; 963 964 if (s_length + s_iova_off < s_iova_len) 965 cur_len = 0; 966 } 967 return count; 968 } 969 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --OXfL5xGRrasGEqWY Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICHiBKmEAAy5jb25maWcAjDzLdtw2svt8RR9nk1kk1suK596jBUiC3XCTBA2A/dCGpy21 PLqjh6clZey/v1UASAIg2E4Wjrqq8K43Cvz1l19n5O31+XH3en+ze3j4Mfu6f9ofdq/729nd /cP+f2cZn1VczWjG1B9AXNw/vX1///3jZXt5Mfvwx+nFHye/H24uZ8v94Wn/MEufn+7uv75B B/fPT7/8+kvKq5zN2zRtV1RIxqtW0Y26enfzsHv6Ovtrf3gBuhn28sfJ7Lev96//8/49/Pt4 fzg8H94/PPz12H47PP/f/uZ1drE/3Z1eXtz++eX2w/nlh/O7P/95u7+5OT073d3t//x4cXt2 d7s/2f35j3fdqPNh2KsTZypMtmlBqvnVjx6IP3va04sT+K/DEYkN5lUzkAOooz07/3By1sGL bDwewKB5UWRD88Kh88eCyaWkagtWLZ3JDcBWKqJY6uEWMBsiy3bOFZ9EtLxRdaMGvOK8kK1s 6poL1QpaiGhbVsGwdISqeFsLnrOCtnnVEqXc1rySSjSp4kIOUCY+t2sunGUlDSsyxUraKpJA RxIm4sxvISiBratyDv8AicSmwFG/zuaaQx9mL/vXt28DjyWCL2nVAovJsnYGrphqabVqiYCd ZyVTV+dn0Es/27LGZSgq1ez+Zfb0/Iod90fFU1J0Z/XuXQzcksbdeL2sVpJCOfQLsqLtkoqK Fu38mjnTczEJYM7iqOK6JHHM5nqqBZ9CXMQR11I5TOrPtt8vd6rufoUEOOFj+M318db8OPri GBoXEjnLjOakKZTmCOdsOvCCS1WRkl69++3p+Wk/qBG5Jt4WyK1csTqNzqDmkm3a8nNDGxol WBOVLtppfCq4lG1JSy62KFgkXUSW0khasMSdFGlAQUco9QETAWNqCpg7cG7RiRJI5ezl7cvL j5fX/eMgSnNaUcFSLbQg54mjAFyUXPB1HMOqTzRVKDMOp4kMUKBz1qBuJK2yeNN04YoHQjJe Elb5MMnKGFG7YFTgarc+tpSsZbwsm/iYJVECjg02BuQa9FacCmctVgSX1ZY8o/4QORcpzaze Yq5xkTURkiJRvN+MJs08l/o090+3s+e74FwGK8XTpeQNDGT4KOPOMPqQXRLN5z9ijVekYBlR tC2IVG26TYvICWvVvBoYJkDr/uiKVkoeRaJeJlkKAx0nK+H0SPapidKVXLZNjVMOVJeRt7Ru 9HSF1IYiMDR/h0YvdtmgrUBL0MmHun8EFyUmImCFl2BrKMiAM2Gwi4trtCmlZv1eOgFYw0p4 xtKIjJpWLNOn0LfR0KiOWLD5ArnRrsensRw0mnlvn+o82EMKoPaTyyualdakUr1yHEj0vsDP 2KYg1cAw/Xxt48jKEdNUtWCrfiSe52HbGtwT4KHoOv2ZOIpYUFrWCnaxiivajmDFi6ZSRGwj 07M0DivZRimHNiOwp+860mwLRkW7bHrngA3fq93Lv2evcECzHSzi5XX3+jLb3dw8vz293j99 DXgM+ZakekCjVfoVrBh4bj4aJSayDtQymsO9jrodlhkq+ZSC3QG8msa0q3N3fBQj9EdlfH8l ix7Y39gAvVEibWYyInewrS3gxhvtAeFHSzcgc85ypEehOwpAuCDd1CqeCGoEajIagytBUjqe E+xXUQwKwsFUFKyHpPM0KZirAxGXkwr896vLizGwLSjJr85cRMJ52IEGgYgVZHv1YQg39Lg8 TZCLJhfQake8TFz75B+O7/omrDpzdo4tzR9jiOYtF7yAgagbNBQcOwWdsmC5ujo7GY6cVQqC IZLTgOb03FNtDYQiJrhIF7C92t50kihv/rW/fXvYH2Z3+93r22H/osF2hRGspx1t5AShUFOS NiEQQKaeWA06NEFTDaM3VUnqVhVJmxeNXIyCKljT6dnHoId+nBCbzgVvaukKJHiN6TwqjEmx tA3iTqdGmU06RlCzLC7sFi+yCaff4nOQuWsqjpEsmjmFLTpGktEVSye8Z0MB7Iz66uhSqMiP 4dGuHEGXTMYDgH6O4NPFTD0EGOAPgkodTrJBLnJ+a03tAsDbFwYwaFeWASQ2AFVeWzjSdFlz 4B70GMC39XwMIxYYwE4zBxj0XMKCQM+Cc0xjkZXQimWwG8BtcEjaARWOm69/kxJ6M36oE4SJ LIiLARCEwwCxUXA/NQBNxJGamMemmvkBMPy2ce8gLJyjhce/Ix2AsHIw9SW7pujza0biogTx 93Y2JJPwRyy/kLVc1AtSgaoQjkVAL0oV4W8waSnVfoZRz6EznMp6CTMqiMIpDdjQEpbgaDHk KmcAELsS/eKRw2/OfwTOYdKZGzcYN9u4pK51RlUd/m6rkrkpE0dv0iKHzRdux1PLSgiEVXnj zapRdBP8BGFxuq+5tzg2r0iRZ770CReg4xMXIBegaL3Ym8WzFYy3DSw3xkUkWzGYvN1VZ7+g 64QIwdyzWSLJtpRjSOsdSQ/VG4NCqdjK40o8c+1m5zEx1gYHLdEwCZhhlQbnsUxLLx8Cwe3n 6PqhF5plUY1h+BUm04YhpAbCPNtVqeNxT+ulpyde5kdbbJt6rveHu+fD4+7pZj+jf+2fwKck YMtT9CohFBpcyOiwWmHHB7cewd8cxvHPSzOKiRaCQK1TE7ysCbgIOhYdVG5B4hZQFk0S6UUW PHH4E1rDEYo57YIql3ebPAd/qCaAdfMdTlyEed0412qlo42Jl63wE7Id8eVF4saUG31l4P12 LYNJGaNmy2jKM5f9Teq61VpWXb3bP9xdXvz+/ePl75cXbkJ2CSaqc5ecBSuSLo0vO8J5+SDN /CV6aKJCJ9akJK7OPh4jIBtMJkcJupPtOproxyOD7k4vw+SHpx0dYC/grT4RT+v2iRNSsERg pifzTXQv6hg/YkebCA74ALpt6znwhLNtWnYlVcaLMhEoxAhOFgRDmQ6llQB0JTDTtGjciw2P TnNklMzMhyVUVCb5BpZGssS1PdZVljWFLZ1Aa19cbwwpOjfTIcHsqCaccsAbnQl1NjkHc0eJ KLYpJgSpY5jquYk6CpB/UO4fAkdfkooaxsSNpamRQK3L6sPzzf7l5fkwe/3xzYTHXnTScXVZ R8QTRSynRDWCGkfTlWtEbs5IHc1AIbKsdZ7SbTPnRZYzuYi7WFSBLWUT6RXs0fAWOC6imKSh GwVnhnxgzfskJfJ40Ra1jIcgSELKoZ9ImNCbZZlDPMvclXawSccdu+9Zwabnc8KKJuZQ8xJ4 KQdXt5fNmAncAuuDFwDO4byhbsQO50AwuTOGmOn5SnWxQjEvEmCndtUxU4enXhoSfrb1KrY6 jVisSq+pAYWzQ4REFRCJJxBnLGk+cUqm18gUluORTEa7bjAzCoJTKOu7DbZqFWfNfruCpFcs xdeRdrkBC/8EZ7vg6AqEk0pF1cOG0Hv5MTqTspYxeSvRozrzOgA7HOf9XpfXzQRfag6rwGgC IwD/2VTIpUtSnE7jjGCha5jyeuszF25ADVrKxJGyKX10fdlWvPZhSqY+ANzFTbqYB8Yfk/or HwJmkpVNqfVGTkpWbJ2UFxJo1oI4qJQOjzNyfqbVXutFTEi/KjfTCtFmNjE2owVNY+lpnAgI vdkhJ6a2YFA3Y+BiO3dTex04BUeQNGKMuF4QvnGvtxY1NYzruWVZyeLcQYB39dVWLBmgTats BanAuCZ0DuOcxpF4HzdCde5jiBgAsIAC3Qv/rklzHF6Rt2hvfDgERRboqW5BBfh5Jla2N/k6 DscrwymD5QbAFoDZwILOSbodofpT9MZFBJzj9BD6Rk8ueJHFmpqLzlFI4gYJj89P96/PBy+z 74QgnfhVQdA7ohCk9pXfiCLFbHzM4rmk2kbyteUu68FPzNdf7+llEr3E0ZJmI1lw95qC2JsQ 33zzusB/qG/iOyH+6OjekqUgm94Naw8KZXFAGGkcFGqP4FiCgyoyJ1F/QJ+lFOGEteGZIP+g PTufxTImgBXaeYKerAx0XU1M6Y5ULPW0EB4HuBMgf6nY1rHtNV6o9s0MIYm4vj16FPEZvNZw nd+Cl9fO5FmBElN0rgreDjf06uT77X53e+L8529PjaMZUZt2ANFoQGzDJaYQRKNTVzFzqISj GfEX+shMsWs6Cbcb0S/4ZIIMtwZ9Fa28BoXmr4VMbjxox4wHVk+WJLB5TckCiJFIu+HWzcfY ZUm3Mkap5EafS3j/GaOofuIj95SY2J2klfNNPGuTxy3N4ro9PTmZQp19mESd+6287k4cu3d9 depx2ZJuaMx50nAMTkMpwNjKIOtGzDGxsXW30qAki1+RpILIRZs10ciqXmwlQ3sGQgx++cn3 UysSfSykMylWMocQSTMPpoAxI3esX4jT5xX0e+Z1a++OOzaCCJ67NXxG+kLd680gJNnwqojL a0g5eXGelhlGfWiei5gs84zlMNdMjXPGOnNQsBWt8UrMM0BH4t7RGZMsawMla5Iqixq3ClMr JiLHTev1pTHMz//dH2Zg6HZf94/7p1c9EklrNnv+hiWrfpRtEgox5rXZCNqHXp5Sd5IVsUMv W1lQ6igMgKCojqFrsqS6bicOtfWMp67UePh5TH5qL3ldl5MxL6DSwktMrj8b3wGURM5SRocK kUnD1cXMuMluFBX+6hhQCxGsjPNlU4cHzOYLZUvasEmdpUEnwHIK7JKZpHaHpJP3G6wu0upl z6OxuemrTkU7kmmNyussumK9jtorpUGQoKuWr6gQLKNuesrvFJSTLQWb6pqEy02IAou9DaGN Um4MooErGJsHsJxUo1mosNDG2zLgqqnJ6ahNUOAQKYNxhlDLuKiTaObdKPnI0UyHZmQ+BwOP Cn9qcmoBficpgr7TRkLU3WYSlJW2J8OF5KBszKagq9HUc0GycIIhLsJk0xtapwyz9/GrajNH DoEj6NvJpS24qosGU1hhXGW4OIlnYkzbift+d3dKqhb8CJmgWYOVj1jguUZfa9LEaHL4a7pO VTN5TVlgMnq4vTf0e0TEEZatVfwm38jcRkHIeHT34e+JZFaNtpnXwHpxRW/ljgeRMajVLrzv SsJm+WH/n7f9082P2cvN7sHEioPFtZI1VU8Vad13zG4f9s47DOgprDPsYO2cr8DFyLIoq3lU JdWvIeJdKBr3OT2iLpsX5QSD6jJ/rpvQr8jJ3GqXFwmj2/Nzg28KGt9eOsDsNxDK2f715o9/ OAE7yKkJ8DzbCdCyND9i9hPQQQYWQWmVnJ3APnxumFhGt4pJAko8znSIy0qCSZQYy0E4WSU+ v+EFvle9NbFYsxH3T7vDjxl9fHvYjRwinWrrI/zJyGJzfhY9i3HfuvP8/vD4391hP8sO93+Z m9ohGMli7lfORKlVjfH2vES+TLHWO8ljSiZft2luKxqcexwH2nm3zlUa5/OC9kOOEJi20Zkq 5cflFo01WbyS/Ciq72REs6qzTk2o/dfDbnbXbdat3iy3ZG2CoEOPttlTsUs3948J8QZCkmvi 17SiOVxtPpyeeSC5IKdtxULY2YfLEKpq0sjeF++ujXeHm3/dv+5v0Nv//Xb/DeaLgjo45F6E FtQi6JjOh3UJc/BOgwDQ3OBF+fYTBH6g/RIaU0nm1ZX29TGVkivvRsAUUfcOcVPpYA7rqlL0 TwIfFjPqWCipWNUm9mmJ2xGDtWAEE7lzXYY3kAaKF3ExBK/jcNsNxkh5rIwobyqTqwCHFX2y 2FsOIPNKeIZnJrrHBXjvARJ1FvoybN7wJnJVLWH/tXkwLygioX0OTjyGlrZ4bEwgaZfimkDa FF052nQzc/PkzFQitOsFA8PCRvdReI0s+8hcPyUwLaJ0FTe1DeF4ssRA2b4gCw8IHAoQtCoz d8SWjVDhh3SSfp46O3ztNtlwsW4TWKupCwxwJdsA6w5oqacTEOmKROC7RlSwRDgVr14pLO6J sAo6ixii6lJJcwWuW8Q6iYzf1ekIu0WYtokd6SDVx7FusZQlK8umhZAC4gbr4WPxahSNNdIx Est6RlRMsbK9CgsmY6HmymQCl/HGMy/DKiRNsYjkCMoWcgwUoyYjwiEHYjHm9nAqU+AMiedR APME8xmVOwwjeJif5hEKxcPXuxMEINDuvRrCMakV26g1Q1rLTPriPuQ4VF0QLGj1tvQKvaNo TOPq3gK6iTcboQ049l7DSClHKWiyKLgMwZ1irnQyHGwUlr9gBu3v0kWGMtwNeKyVCxM1utZG I2Ey6AyIOOvyXCtltR2tI+suNmgK2sXJewCqwQQR2lGsFUXJjWwf3TCFFk4/FowcBA6NOCDh 6yok6a2GHqHL4saW4BWEhT4BziFqzvxWQ43ZICrdG72x3YUFM/OmoS9tGyhs5ODrfFtjdn6W MHOzHFsInmK4DTHY0GLIbi/NlJHnqfvyJE4wcUeljbQCV0B173jF2qlKO4IKmxsWiTaPoYYV 4UMziHBsNt+3zGit3HrO0K+zdbPdRd5Y/XUe5DRm9Nre2LrRQ7KRpE1VkfuK0Za4gjh3ta0R bkdX2jJM76enfPX7l93L/nb2b1MD++3wfHf/4N1oI5E9nEjHGtt9MSB4HRjioqHjsTl4u4Xf fMB0GKuiJao/iTV6zgVOwdJx1wzoomqJdcHOXaNRRu5yLIfp58Dt+NmiT9VUxyg69/BYD1Kk /XcIwr0LKKM5CovEExfoLFoLGTbu8fhK49goPeHEw4yQLHyrHxIiq67xuY1EU9k/n2lZqZk6 viId4OCt7uLq3fuXL/dP7x+fb4FhvuzfDQOAQijhAMCOZKCftuVEX9rY6MeC4ZVE4leM4asX nXwQ9LNfMta9h0nkPAo0T/kDOOa15oKp6Lsai2rV6Yl7WB3BNRxifFf1QzB7gadrBmIOFxKt k2ABAGjLz+FkTKlfOAfcUl6TWCiNaKPmOk3pWbgous3tJVunkerd4fUeJXamfnzbu6X9BEJE E/9kK3yS45WEEFBu1UATz/qyTZzC4rFOtMc7mq5kc+Ihhh4VEewno5Yk/RmFzLj8CU2RlT+h kPOJmVg8WGXhboBjP5sqBl4SUU6sm+Y/WzV+SOPy40+IHG6NUXVp3oAjXH4qP2Pa1ecxgKEr zrgP1lej5ssYfHgC6jAYtGPcFPlm4Nb55tpBLreJG3B14CT/7Folf5AhUVadDk2bysqDrCFC QYMxclSHO1bFMSkhynVAgc6y/uZIprsJrpRDErGOEZjv/lT6IrMgdY36mGSZ1uJaJ8ccsu71 UJvQHP+HMbv/7QyH1hQerAV07m6efTXanQz9vr95e919edjrL1TNdOHaq3NGCavyUqEzM/Rh PRvXJ4bZYNqg//AAuvqjF8i2L5kKVnupf4sI34E6vducRH/YU/PWiyr3j8+HH7NyuKcYpT+P 1nANBWAlqRoSw8SIIWQV1I0HBtTKVlKE9WYjijADhZ8Umbt20s6YSV6E+WQ8e1vHZansbabn gniYWHq2LiCwqZV20XV96kVsBEuG9Y/KlyI7QoLOhq/ELMh4xOmE1hyQQ5c6ahYU5dKL3sFO iCO70AfcEbpUZ0/bwHnHEiIth60Kn1yZEniOAaGfuHJSdkNyXMbqMjvh0KxgPtGSiauLk39e erOffhnh7/AIvljXHBijsllmd0KxPMRUdsgkW9Wibv2MuvfCaOmIQFpQcA8wp+XqGdhgv33q fnULfoTvL3qQe5+EwOCKCUH4Rkpe/enxtZMBiRq/a5xOZNHXNeeOjF8njefoXJ/nvIg7gNfS vGyMdNrfm+Cbpu4ewu1Wp+c1d3Zprqnz0C/LdMbQmC4vedJT1PpdWiR9hEj0YfWlgZdS6KBj yLn75bQS9CDD24sgl1HnodyBQZLmgzpA0OYFmcfsXm3LNt3ia13AH37+pNvKpm7V+C1Lt2id 1XKVdGntqeYEsEJF7VmhJc49yA5Lmgqq/p+zZ1tu3Eb2/XyFah9O7VbtVCzqYulhHsCLJIx5 M0FJ9LywHFtJXHFsl+3ZZP9+uwGQBMCGtOekaiaj7gZA3BqNvqGLRNZnjP8YGXZEf6/PT59/ vr7/Dlfo8WED/OwmsW3dEgJfyKhZBynF0KjgLzgzLT8zCXNLD5s99cQLbapMCg0kFpMdwMzQ JWNgBpheipwgntu946UKisc8VbTZveyvFK2MVKAuTkBU5mb2Mvm7jXdR6TSGYDT40ndpTVCx isZjv3npuYgr5BbFmyTbN8RnKoq23ue5HRAB4hqcMsUN9xhJVcFDTbvbIHZT7M/hhmY9zg1I x+igLomD278fyUs8iT2zPXTXBOKCdEB1VHZgu/p9XPoXsKSo2PECBWJhXkRdFfSyxdbhn9t+ tRHd6WmifWgqBLvDusN//dvDj5+fHv5m157FC1oVBDO7tJfpYanXOiohaS8qSaQyXWBsQxt7 1FnY++W5qV2endslMbn2N2S8XPqxzpo1UYLXo14DrF1W1NhLdB6D2N9ixF19Vyaj0mqlnflU 5DRlqhOfenaCJJSj78eLZLts0+Ol9iTZLmN0xho1zWV6viKYg5F3xCDJlLCwfMUw0R6eVhnz eDt1NCDJSusEHKpZ6QgXJrEyUtLqrfIMEnhPHHm+k2P2Iw83rjxJj2pfElBW05GcaeBpIax4 vKXnWTINQWdVOqQsb1dXwZROvxEnEZSmvySN6OytrGYpPUtNsKCrYiWdq6LcFb7ml2lxLBmt 7+FJkmCfFnSKVxwPf56qOKLSY8Q5OjHA9fMAV54/zMtdDbdl5LRkZUWZ5Adx5HVEc60DIV5Y +wUTNnuPg6z0nIEqgxPd5E74BSH1pSBPeynSGQiaAtm5j+q2qv0N5JGb0q+73aicV0hTVp5c OAZNlDIhyNA6eYY2eF+9a+08PeFt6oitk8/Tx6fjKCu/4KZ2kiDae6kq4Agscu74GvQi9Kh6 B2GKy8bEsKxisa/vnqUeety+NzAIlY+3bDD/DjF2R14lqXI3GxrebHErTU1yNV4d4uV0evyY fL5Ofj5BP1E59YiKqQkcFpLA0HxqCN558CKzw3Ql6mZnRJ9UmxtOevXi2K+tmzn+HpSw1iQB ojkzh2siv5ox2NyTuS0pd3AdpZlVvvHkcxZwFrmuxaY0vKFx1FnacSPMcGJrHrYYYJ9YeaDk jkZ9VmYajZQvhnX3R5VKoRibhiT1DrO7dyyo2zfx6V9PD6aTbb900VWBC+NOPf4FZ02Imzuz lFkSgy7NVAHlQwoCpOnHKFE54V9jaejdHzq7s30Dj7jUrvn8pBHPREmfxIiEm7gXiQmjialD jPTadr/EH0KF8R313vTIxgwYEUcznVQ4WYmwkZxZ2bBwcCOW2RDUXuJe1+EJ7sfwgubuiIM5 9HxmyYApO+1ozzl73NC/BFa3DFX1j2445A84T4SOcecpjBR79Ld3ZEkV4F/G0tKxMWpBDdx6 AMsgDfqsNYgi9JIfN22SiF3ZJ/lF6ofXl8/312fMIProbjmk39Tw99QMgEUoJqEfpYftEUNa Wr2jP55+fTmiTze2GL3CP8SPt7fX90/TL/wcmTI+vP4MH/j0jOiTt5ozVOpMuX88Yf4AiR56 jzmou7rMGYtYnOSm0ciEyu56UJjg5wxqXLT9dh1MEwLUkQ7hJRe70Nsb6RnuZz95eXx7fXr5 NKUTuZfzWHrV0kZMs2Bf1cefT58Pv11cT+KoJcA6sdLWna/COB6b1I056WuPWGVxhizizP0t fV3aiJtabyimbA+6M18e7t8fJz+/Pz3+auezusPsKDQTiJfXwZq+KayCqzV9jalYyR1pbAg5 eHrQh+CkcNWebN/wlDO0BZk2k73y+1J6WQ9Yu5sYz0oc6qy0fSM6GAige3cNaBKQrvKYpU7w dTcYlWqxj3+RGZe78e0DPJ5fYR2/D73aHOXkWDbVDiRFihgzKBuHdFNXbIh4Gfo0lJK+1+54 kGjTeWNE17kBmYOE4TgoHpFbxO1jL/2qZPUH0/Lazan0IKJxDtSYKHRsiSt+8OgSNEFyqDz6 G0WANgBdDdxA0TuXmtWsvS2E/frAoGTAGpi0o+t6pHMTJVdqtPOOQSdiDlmkZKy551kPRB/2 KSbJC2En1NwU1Kpka9lq1O+Wm+m+NUyY/qcadpyOQFlmemB09ZkPZQz1teyQGXKQNA2hY7Fc vBtzHSJqIw+EzjvW9gMcM4A+BvBRCsmmw0fR1KYBSnC8D+Cc2VbVHdeA4YKvQF7RsMMj8x4O ditIr/sag0sXcKvw+MlvczPYCH+1sA0tO5MEZpg6nUIIXm1ozD5sRojMzpoMP+WSEyOmO/jm vN2/f9juNDX6eV9L5x7h1mZ6/nh8IIGq2IwJDDSsDxmd17VAoFRUkHQAkG4BX6Z2C1YVMrxL ugd7VFDjEuj/PY6JHjkudYMjx2wP/wSJCz2DVH7Z+v3+5UOFTU7S+3+PRjFMb4AbOT10PBQ3 Zn60fPSrrQy3IW7jq01sFxdiE1vB5iJDAv80FaVvimyTO0J6Xy/Y3Epj1Z1xFct+qorsp83z /QcINL89vY2lIbl2Ntyu8lsSJ5HD9BC+xevYGAzlUS8oLRtFPl6agM4Lj3G+IwjhfL5Da6/z flSHTw38mWq2SZEltRnThhhkiiHLb9ojj+tdO3UbcPCBpwGHbH62kdWFRqbL/66VWUANB5+e GQQejOeHz8lqVp5q4K5G1IHR4/gi4Xj2s9h6D62Dg4DGxtB9zVOHu7DM/bzKk+FRcsFQJJ5r wZk1r65v929vqJXUQKm/k1T3D5hTx9kYBZ5fTedx4DAMdCbKRrtRAYeoAALX5UVa2XmRTJI0 yb+SCFwZcmF8Dewx6QgKWs1gkmxLzCsYx9S5KHlMGLXbprE/Hqb4etlUxWiieLRrnMkysIkI A6JQdLO6mp8pJqIwQAcTsXNL5kn9eXr2FEvn86ut8+GWfkwB9JXMHhx1MWN5kd/BjcPHf1UG hUMFHK1yqoX7dLeOOy3AhcWmnlY5Pf/yBW+b908vp8cJVKVFGZpZl1m0WEydpiUM81xvuNt7 hepcsawux6xmcox9nCjalcHsJlgsR7wMMPNVupxTycrk/Ik6WDibXKSVqZtTK3IEgj8uDH63 dVFjRjHUoJsOdRoLErjQnlPTIUCsP9UDJX4pPdDTx+9fipcvEc6DT80rR6eItrPhO0JMr4uv dbbZ1+l8DK2/zoeJvzynyjoD11e7UYQ4EfqSHecJYtxp0GB8HxVjvY8VJzNamqSm8EygfU42 Jk3QoBCwhXH3iZHs2OrPVXLI/Z8/gcB2//wMGxcRk18Udx6URsQoxAnmBhht/wHV0npGlyqu yToinya1p8gaTts5egpkpOe+YPwKh9G8o9HrMQzWsp1qqkfprN7bbHRtyJ4+HuwxBBHTVY32 9eBf1qOQPQaWRrEj4DEXN0VuPzdJIJV0aMaT/Be00ivePu1oUvQ8PF9lGNZyE7ijhzdiufDc cUuiCPbsr7BLx5rXvgEgIpoFKOoRdyzLnLfmPCQwJRfWk6YPXRt65xRPfGxvcEVWIruUlniy /6/6fzCBc23yh/J0fBynjJGHZumIAn2ll6v6H3eQ3VNRA2XExFy6tthPHZs04og+Y8JNIuch wWjkg/SS95gc3XI3SUJdHZBEbSylhxkuaSbCw2wcGnK/70M+ArTH1MiV7JxokiBMQp2xMLhy cRg2MJI8EbFN90k44pmyutTJRmdRyPT6tEI7ro3FX1jpVgt8j5LXntegAQvCRV1baR4AqDym SdRNEX6zAKMwXoB1DMOEWVow+J2bWqhio1+jTWL75QmFQE8XC6Zidty0KEY6xVLGn9nPo/gA bWk/yqOhSj9E6Tf7Yu2GbwqqPgwgwPdRqXrx06Qge6Zq1qxW1+vluGoQneZjaF7oTnRw02lX euxK7W0Gc6LTjHaPc3y+Prw+m5aXvLRTWeoQTLMjXVRmvk9T/EHbORgmh6TdRHR5NHUJgeIk L2dBQ2fv7YjTovD4mmmCuAr9IaLycy/gRUM/edDhHWFqUGHGcEdCN50oPnjSCtZMrlj0ZCAm HS3oSt1lWtAHR7UBjWYHJ4Hr4L0lPU+889H34sIoVMKeCCUEH7LEMKHqIgh1BOF+rA+Z/fYv kio3UVbTrmCSZHfMyIgkidywsFLZxi1oNGrIcd60UKza2p7yBhhdBgSwfI/Lt0HorkaChPqu DuNdzCbZyAW1EyPMyegly7Gmn8WLYNG0cWn6qxhA285hIixjR7zPsjvNvQdTZZhhziePnyTL a1JrUPNN5iwYCbpuGuO2DFO8ngVifmXAQA5PC4HPXuAhwa3nJndly1MzE2wZi/XqKmCppebk Ig3WV1cz4rsUKjBcF0SSiwJf1gbMYkEgwt30+pqAy8bXV2Y2jixazhaGui8W0+XK+H3Qps8+ WE/D8fSFnoLEWc4Gx5iuPesCHh/bBjUFkqUanN8w0I8McWgYzptWxBsyKTkGgrZVLRqzTBTg cTOW0JMS1UQfho9FN28SAwwwmBNtDNiF2YoGj3Px2/iMNcvV9cJYJAq+nkXNkoA2zXxJNMPj ul2td2UiPOnjFVmSTK+u5uSGdLpvDFd4Pb2SC340ZPXpr/uPCX/5+Hz/8Yd8dO/jt/v30+Pk E+0iWM/kGS8Rj7C1n97wn+aw1qi2Jb/l/1GvIU3rRZxyMUPuQIw9Q290+fZDaYWeqMcBOAFq zXDcAVo3JHgXR+Voaxwy291pm+THW0qLkkQ7S+SSi5ilESZjoxUR3Sq3VZA7FrKctcwA4QO8 5tY6lCy3dTQaJG3ANGPUBM6nDKpIk40rvSN6KGut1OjuK3NzZIVxg68Yj1uU2Q3uiFT2Lx1u OMw6wjD3tPPG1fAFummVyv7vsHR+/+fk8/7t9M9JFH+Bpf8Pc2324hTlEB3tKoW0Y8+7ImSi 3q6IGabawaLdqCf9UUG7oyBJhNpAjLClbotIkBbbraMwkHARoXs9Oi/QA1V3m+zDmSZp7tcT Y1e5iRTC/7UqA+yIyKoeE5mO513CUx7C/8ZdkUWoO0iPli56wnYkUciqpD66U6w6I+GM7LF7 asY4mRFDC20KJ43PXQiyM5fNNpwpsjMTDkTzS0Rh3gRnaMIkOIPUK3gGBzH8J3eib2h3pelb LEFQbN2Y1pwOqmbOBDLbd03Bdmx6Pb9yoSzCz3ChPLq2mtIA9E6Qnqn6nUHzHVBNgTf0Wj28 2Wbi68J63KQjUjdNFf1PnR8WGT7QPGgVh3akZ1hd36nXlYkerN0erC/2YO3pgUNifv+4Cd9n r+nPthcYEK7nnmuuYuYHmO9z6H1GKrgkUy9RoC/csUItr7gbLaIqsp6cU4wTGg+sFAoZSGDy TMmToxOD4lK4b5T1iPEKzsp6RkIDZDoyCGNr2YjMUufwAVUrn2VuR0XGqrq8dY/F/UbsIne7 KKAtHXQIELsjYFs0UpYa6Rr7ohHGcBl4e6bNyolnRF1SKw/X0ARmm3IXxA79P0oHGO4FnHim Dk8dTWh37FLqOkvxrvI86Kyx1FGlpbnyoGUSS8OhWtTqD3/VIueUWKrlmmY2XU/dKdyoYAsa SkwecHk+6jAnvX0UCl/mcscZgMxyhldSVulyfp65q4N/52WblOV0SSEE+n5GdTX6QFEnZziL uMsWs2gFXIpynNE9HFcKMOVyeEY6ARL3kSmb4lauLdRc0i9qaSJ26XwWPIPrlHfyo9l68ZfL 57DX6+u5Az7G19N1M+qtPwZLTV4WnTvWy2x1ZaosJNDNyWXJQISXQ+fhAAf6IqDnU5Po9XuO RA38OQq1LBaeV9DUoNB2Lupm0h+ItbnKUS3hhDAgqJahV/bTgQA+JFVYYCZcTHbiVabKZJSU dAE4rb4eeoHA72URe7iKVJvY61ddZ4xwiT+fPn8D7MsXsdlMXu4/n/51mjy9fJ7ef7l/sC7m sja2o+1QHY44FyQ4Sg7MAd0WFb91BhNYSzRdBo0DloKhLOUgBE8DYwdIkHyTT91boEcPblcf fnx8vv4xgYui1c1u/mK4s1g5a2Q7t8J6qlm13czdGQ4zWa0z2iUvvry+PP/b/R4zgwsUBhFv Ob9yw58kCo56TiUHkchcrK7n0ytnDaIzpAMitqQEn3vMW1JU3/EJvVG/Ov/sX+6fn3++f/h9 8tPk+fTr/QNp6ZUVnXmCknzWVWuLHbVqlLW885Yd1EYAxay0pEcEIkv3ZEYgxj5QpwYqseUj 3WOdur7RSTjZk81eOKnHVJLCJEkm09l6Pvn75un9dIQ//6DUihteJRgfTHxVh0J3VvVYRpeb 8FzdxhizCASeAp9OlPEH1LGfJ7W6YjjxrZHzenhY5LEv74NUq5MY/PrtnlU0v0pu5UMmZxII eSJ/ZSqYxGPDgl5j8gUSx0sv6tD4MOjDdPCY/0AI3Me0wLD1+TaxSCTefkXq1RkaXYd6vkh0 vae/H+DtQc5pVQjReio/0AY9bYpDC7eRnSFPM18u1B1vfakl4KrmoLqFgG81WEZ0/NwDSM9F 1c4i258zSWc061JyAMgA13R6ioFgRQetHYrKJ3nWd+WuoM15w5eymJVdhF/XZQWSPrgbepeb FWwTe9cl9XQ29aWJ6gqlLEInJEd/mPIIZvtS0TpxEuJGiXMrGVBKXV6Tj6WalWbsu2n7sVB2 zt8sXk2nU9eUbEwYlHXfq7InM88i37bF57aaLRmOZX4S8KC8to9JdutJJmmWqyK6i7iUC0cW TH0JXdKpF0HvUsT4pufCOgmrgsXOXgrn9FYJowy5Hr2NUblIIiLf0qn5tsjpXYuVeS578rlQ 10hnFqRYid3hyHn2McwpLbFRZvCTNPk1lbjGKnTge2tc690+xxhKaSKhPeRNksNlktDzIrRJ U3loUn67d0NuiV7sklTYbj4a1Nb0Mu3R9NT2aHqNDWi7+8SX8aqy4/cisVr/Rd2frVIisnrj cjaiiMwIa/GCbQJ3O96fUHRPGswDQeNi+sQzGo3tE0Olw0s56ZNhlNLpQ4aG0oD2lhGwQDzp GYz68OXAxNIjhElw8duT79pHdxhkCWnzEtWbORxoGQZFu7xkXNNm/43Xwnq5stMOZIdv09UF 5qae5CM58m7PjqY110DxVbAwte8mCs24Vsem5FPpiX4o3aK78uSF29KKRoB7OABvfEXck23A zL2tX1j9GUcBsdhY159v2YWFk7HqkNivhmSHzJduSdx4cqmJmzvqYmY2BK2wvLDWaJY289aT jQhwi5HDgokVx7PozfHycNlL5EasVguaVSoUVEtHYd6I76vVvPFY9t05Gu25PApW35a05guQ TTAHLI2GIb2ezy7sLrUykozeRdldZfsAw+/plWeeNwlL8wvN5azWjQ1cUYHoa5FYzVbBhdMA /olOrJawKwLPKj00ZDpru7qqyIuMZjm5/e0c5NDk/8YOV7P1FcELWeM7g/IkuBl7Y9ilS8/1 y/zyAwgK1gEo9ZMxfTk0ChY3Vp/xXeoL7EYnLU7yLc/tZ3p2cIWANU525S7BlBEbfkE8L5Nc 4AtXlianuCgA3Ha2o77QbcpmjcfQeZt6JV6oEy1BPvQtmTvW/JA9uvpkllB5G7FrOFvQAYOu VOP3zCMy30bo/OXLNVplF1dHZYeVV8srMiLPLJHgtdESVJhHL7KaztaeDKCIqgt6r1ar6XJ9 6SPyxLKnmjjME1mRKMEykJ1szxk8dj2uz2bJxHz800QUKas28Me6YQiPmgvgmKElunQXFTy1 I7hEtA6uZlTMtlXK9kDhYu0znnAxXV+YaJGJiGBYIovW08iTCSgpeTT1tQn1radTz9UQkfNL LF8UEaYpaGi1kqjlqWYNQZ3hYz+Xp3ef2+yqLO+yhNFHOy6hxONtj7k2c8+hxvcXPuIuL0ph Z75HO3uTbp0dPi5bJ7t9bSvHJeRCKbsEZl4DEQozAwtP7uHa0c2M6zzYhw38bKsdzz0qSo5G tRSmtaZ8aY1qj/x7bqvxFaQ9LnwLrieYkXK+UbnyNraM/sr/GFlryj1JoTUNa7ifBWuaNIX5 uDiJDa8cbY7ec4gIStr5ZhPHnox6vPQcKzLbZehahIZGd3e+xJ1KQkbZd71eZHQOMbwpaCcn E6+TkolxbLqRPG2ENb4q9WTgL0uPed8pIFvavX58fvl4ejxN9iLsXUeR6nR61NlYEdPlpWWP 92+fp/exf+tRMWjj16AzztT5SOHqnX1w7s7Y9QG7GEmAZKWZmWnfRBkaQgLb6VMIVHdZ9qAq wa17EprQmWd6Ki6yBeVgb1Y63DkpZAISrHdMzQsUga6Y1qtQuF6WoZCma7KJML0FTHjtof9+ F5uiiomSquokzyk3i4rdRfSWP7KxcRIths+nj48JIE1j5PHoKtP1ZrMKdN8mJVxpj/IGe2n0 2WCvDC81tApRa4VaTyI32Htzr7VJNS045W4mbYtDct7hiiBiT2rjwzgInr+8/fj0urTzvNzb hmQEtGkSU0YZhdxsMGI0tcJNFUa97HVjReEqTMbwWUCN6fNTPd/DvPX+Dh//oezLltxGlix/ Ja0f2u61sZrCDnDM6iEIgCSU2IQASaReYFlSVlVap5SylNRdNV8/4RFYYvEANQ9a6Ocg9sVj c9eSBTYOaS6eQqJysK18HqwoZeM6q9zhN9fxgm3Ow29xlKiUd82D9gpTyPOL7WRzxrWxT6oF m2UN8eV9/rBvxF3jdctlkrERuA1DD5/cVFKCP6rUSNhiZKX093s8Ge971wlvpAI48U2O51q2 ghZONpm/76IEdxywMMv7e8sjy4WiW6XAGdxmvMUs20LsUxIFLu4qRCYlgXujKkSvuJG3KvE9 fNxROP4NTkWG2A/xI+WVZBmdV0LbuZ5l83Dm1Pm1t5y7LxzwjADbmjeimxa3N0h9cyVXgt/t WFnn+mYjKd7TyHLOt6acjWH4UZFU9z7rYDfC6Stv7JtzerK5n1qZ1zJw/BudZehv5i4lLVuq 3kjWPsVXgWsL6MHJKbpFJY2t66DMf7KRWrXYNgtHUlrWACtl/2Dz7zwzYD+M/WtRmlceW42S ti8sjRzhsTW8zTr8yk4fuAVapEBWDnd3N9/sNtC8BJUpPW1hIikYA8y+5aVmvmiNmbexAtc+ VtoBfMNBPJvZuFS22sWTt1j81GIkbVvmPGUbyWJNMdxZbskIRvpAWuyoXKBQctOTa+27GbE8 udRIaM4udBgGxY4fF8MkYhTC0prQxKwwLNLsigVTSMA/1r2143FfUKrpXy6BcOHKTGpxrCWz ipatHW6xTqRmCrbFDd9Ku9+zH7dIbX4k1NLFJppoRGyFwBZ9eGuY8g/tSSh0Gyzd3660s1wE +NPh0+PbJ24yuvi1udMfG05GR+b1rWkVRWPwn2OROIGnC9nfk7mUdcHPgbRPvNRyFZ8TmN4t NDZVmhZi3FWkZbFHpB25mvFOl6kYHd+NELFQr9JcNKiBdOmIREhaLBlCCVMnizOH0BQcSZWb d2+m1SBWbcvdVGxVJNaYfz2+PX6E/RHDvkPfPyjbgFiewUnlLhnbXn4CJm4YW4Ws1Z3ZxOCF i72jkruHAyvbYOZ8XjLRp7fnxxfTAuLUQbgNoVRxuS6AxFMNKizCMcvZ1MUtEUt2ahGeMG+j VPwMuVEYOmS8ECaqLVaWZf4B9lqwQUwmpeJ+qSUxyoV7CcgH0tmSaZnzZUrFFoIVeotKZtUd P7qSPETLaMcqsqjyhYJGlA+wCWFZZshEQltwP3zRz8qwmryyfm3LfHa9GVXXewl6fUUmMV3N 0kCqIkMiB8vayD1+YeHm9csv8CmT8FbNNy2Rm+dTUGz54ltPYWSK5SxGUKAg9b1vlaHe6peE UpvUQ31nscsywbQ4FJab2RMDVLwCd8E3h5Gm9WDZE54ZblTQ2PbaVZCYShX525RpzH/Xk6P1 iFal3qJN5wUtvclkU8UW3LX2eYjBB8pKsr0VB2cV9aHMh1vUFM7luFuI4likbCjGnwDMzY8N Hx9cH9+qmCuptTwymBsCa5tmqhb7qcrwr7XRKu27ctY/9XBrYX8hs71xqMejpQ3XzYfGdqMF rJH16CHX6TI7m1j7EsgUk3QgGPLaECBeraZs8E3aszkEcScckH2WGl2DWl6HY3MOB+RElq05 97StthE4vTZINx5BFGyJDHpyVlpdiVb76URJnD4cCHr58XRlqlmdqUdoi5B7O2XKUZVj+8cr TTv6WAHtrvsK7EmAHs2vjIvswUcW6/74VixllYS6fF8pQ9Ge2KAiadRsqViI457puI1b8vuI qGlrq3+oU755aJn14eEe+O0MbMeFKwG9OsIWGV6gnK0W7ew9Ee261kRLi8ErsUwS4OAerd/6 otqkyi964z+16GUZ1jCP6SmHl2TQfpTukrI/Fp93rA2lusXMCWJjfPkAvki4a841TbPclMxm M2fHWWbRzOuyqaV3Z3Bs1p7XoBQELJYsPorEnjtb3JsHHooJthQslbIlfsPU4GMhq84g5Rte bKpoVLFuxZ7LToyqnFQwYcUPJ4TBuB8v35+/vjz9zTII6eKGthFtBz4j3V6sg1igZZnX6C2/ KXxjwF/lmud2g1H2aeA7Fo/XE6dNyS4M8P1elfP3RhrboobR2SgcMOChCrm/eTu/Koe0LTO5 3WwWrJrYyZsUrKosiZ13epbmQ17+fH17/v7X529KC2Kaz7HZa16/J3GbYu8EVpTIqdfiWOJd lq7gw2dtJtMAeMfSyeR/vX77jjt10xJVuKFFLVnwCD89WPABteIHaJXFqin8VTrSIElwlW0i wcOqLXysWuy+Nd+6SxxXj5Ytmi3u4TlY4doegPCUGTvPB6zml0s9PbJJzDK5U8+nZA6/qMo6 41n/mhY0DHf2WmF45GNzzwTuokHtH8p0PAlafnOMNwjupNLSQmiqanjr6PnPt+9Pn+9+B0dS k7eGf31mre7ln7unz78/fYLbJb9OrF/Yeg7cOPxb7SkpDPXqrqjo6LQ41tw6if6GV4NpaZsX NeKG3RadKW8gAJZX+cWoX4sdez5d8KMrNQzWsxEzA4B09/5gVn/Vo1YgAVyubglbj3+zWfEL U/wZ9Kvo+Y/TDR5jJ4gnhBi7iCDuSUPHHLkg0Hz/S4ydU+BSbesNZRp/Lck+TC/ZpbENHce0 kujP2JYLh6DqjZIrubdhYQHS2ns4CQxwgi3ujdYDxqWszytWCgzdNyjGOZFUDLq9jsJXzgG4 aSImmzxV4Urg1cKYVVJYXS0E6QiiABWHAaqZilb9sbhCkUR6SFyWL3o43O+uHr9BM1wNd0hX G1ZlHCzx8Z0CLNkLqO+8rEB2KDX5IOz7iUv5KsZm5T2ptazszz2ssEpl+xaA6SGlJWGzU9j3 Z5IhZvDXEcXy/YEa39RDO8LWg3Y7XmIYK3gmK6vYGcvSZqhfbGns1TyDEEm02GoaKUWNOjFC w4aKojZKqh2IzWA4wHBBHe6rWQk0dRM2pTmoNSTA+SaZHqvubUSChunhgSwyrryC9MND/b5q x+N7e5mLVfDarCWdEtuRhISdTZvd8Ols4H3qGvImfcsbrbaVwKtkMeuB+wwATl/mkTc4+qfG 5Cg3T91NAG2rQv01ngpa+FGshHvCHZe3qsfyFnFLKdTTlt59fHkWlnANv80trBALeF10byw9 JZCff+CpmCnINCeh+uS9JO1PMA/z+P31zdSr+5Yl/PXjf2F1zsDRDZNkNBbAYo7+8vj7y9Pd dMsYbrXVeX9tunt+8RxySntSgbu0u++v7LOnOzbpsmn8E3fcyOZ2HvG3/63cHDbSs5SCvj6a fa9OwHjsmnMr+4Av6kq+KCfxYVl1OLPP1MMfCIn9D49CAcTsZyRpTgqhfuwputWCDK3nYNfQ FkKVmeFlZOdEaHhV2no+dTDnfTOFsgpQdvZm+eCGsgXxRd5XhwGNiwxxHKFPO2ZKd584IfZt k+Zlg/XzJfD58u9I9clgpuzJQ9+RAn/PMJPSU951D5cix09/Zlr5wCYl06O4XhllBg5A7nFN aUlX1wy2u19LskhdN/XNoNI8Ix1Tpi3OLubmkNeXvLsVZV7en+Dk51aceVUVPd2fO/xuw9K9 +Gv7m6EVrKJvcd7BEd/tcgXCochLfPd+YeXX4nbq6bnuCprfrvK+OJpJE77L2CD67fHb3dfn Lx+/v71g7x5sFKOxw44dMbteSoO4dEMLkNiAnWcC+fszUwz2nbB+MY9nrGcpOtMk4G6EwGXG 5GcodBebts1BW8gKl5GK85Y5lKJ7r17fF8Ok3p95CNzMMjIeiD1ATWFYhOMF257n8OrOTpby C6DOuiMpfFZ9fvz6la3i+XyJrPr4l3EwDIaRdaUMuKJuJJMN4C020Ik86L7euDS7knZvBAQH +2hT5eihh38cF9/Kl0tka49A8Dq0hk7lFVv0cqyQr+1xCX+dezGKf59ENB6MsKu8/uB6sS14 SioSZh5rzM3+rAW56Mxaa0rVB+RcfBmSENul4qCpOM/1Nx4sbtc2mo/QppjC8suEwv2bzQZ2 iF388oEo4T6J9UymJ991B016LWowAGfk40rdKA0SNB+b6Vw2wrj06e+vTLNTlPrJaSy/dW8W n5DDWGBvmSSrsWWdaI3XUex2m93YwaSeXiCTVPclIy5ZwbY9alJhhdWFwSQ/JGFs/axvi9RL XEffCNIKUIxAh+wnCtYz00C64kNT4y/1OGGfxU7oYZrgDLuJPLesUi/RBySmb8q+ZEQPb5PY Nws7wwbBDVWR410a9mHia4FNV8h1aUuj0EkiTOy5ZgvkQBJt1BbDd67emCaxnuvpHroRyznd uwH6HFX0virxXXNwAbHlJcmM73a4+xek4UwnI8WNBiVOHPSK75PBqEymvjUnpPUXI9ioGi3P P2ZSLlioDx5R61nqe0ip0CYjl6LUbxUsx8hGBpedByPjxhzuRvjt2bmZgilvfIdHGnjw4xpB SH0/SaztoC1oI5vAFzNPR1jb0Vt/xVYR003m+e6LmUOexcvz2/cfbP2sTS9KpR+PXX4kiqnc KZb0/tzKsaChzd9c3Vl1cn/5n+dpT9vY5rm608Ypf9yj2gFasYx6QYJthckU9yq/cV0AVQdd 5fSobL8jiZQTT18e//tJTfe0ac5WjWq8Qk7F3q+cGQFAXhxMtVAZif3jBB6tZrAFdisU10dS xsOILIBn+UIszrEvfMcGuNYsWB5fqRxsPpIZyhaEDMSJJUlx4lpylzuBDXFjpJlMzUFaBDbX vBPuO7CtCo7Sc9uqe+qyfOMVuEIzPBCutIwIKlZwfFbhT3bP8itpIeZfKbXFZxtraLDzunw0 yfYEDg0exiRpqySS6wYuexzhJgHTT5xIaRXzR+nVc1ysU8wEqL3IMWPTq1uRo1FxBBtLZgLd UzPtQrjePuJmn7gYrYo5rP17L9YMDenJ0RQmSe6GSMbYtOLGTuBgWZuwrcxxijaTznmcaw75 fKawz5OdPP/MAKh4XoyFajkXXkPkJYmE2PtR6GLyNHAjr8TigtwFYYytDmdKlvfcfbTgRupd DCkcpoTubBYwpbLYbcUlGImZB9YsAjdEK4FDO8s1O4njhVsxAyP2Q0sEIYt7+2OmTDtossNd YgGiAenytNr7QWzKhWauWkNTMM+NNzvWkZyPObQFb2e5b7UwmzI7FBR7qDdTuj50fB9LS9fv AnQfYCacU+o6jocWdLbb7VCrF10d9pGb6CMoH9m1n+Ol0G6cgnA6iD8h1k1q4fwBefQy+f/M Yt+V/Y2s8sAqTzB55TqeawOUpqdC+FJA5WDnHApDVS5kyEW7v8TYeYonsgXo48F18FB7Vmb4 a7KVoXhvUAG0lBgQeRYgtqYjiLHWuDBOPZoK6ltCpClba2MbowtjAE/xNVzeZup5aYZ9n4A9 Zyzwe9cBaCPwA6nc8GRqH6uv2rbMaWV75DDnYY8bcV0J8CoIKZV+aJGaSdlfpOjGVNwGs6Ct atV2hvkl/hu5zmjkobUBfnc3KyPLy5INqZWZLKFFsBaSmlgR3rOV/N4EYBvRCQ9YUvgOo3fA 7p6vlNCPQ2oGe6RIIqrU9ePEx1N4oOmpQmroWIZuQpHsMsBzUIApiQTLEANsj2EmAt9YtVid n0mn4hS56DXDtbBDB61cuK5zo2FMG7fGp+/SYDvtrAN1rofuma0ec+uc6VlmiYkpFB2uBRTr r76tPMuFEZm1Q0YnASBDIdf0QnSgB8hzbW+HJI6HXqCRGda8B160WaKcgaYOVEvtpi7C8NDK BiRyou2scZK7NUlyRpTYYkDVVongu9otBBXb7ALg9jrCNAMO+DsLECAtgAOYd3MO7GIUYOnD mlmVtj6qsPRpFAZYXpki6vlJhKuXS7B5ffDcfZWaC3Od2cVs1PLNBLAxcRjQRlhZ7pmvBIvh IImA3USX4BDpd1WMNk0mx/ZkVjjBeneVIFlmUrzbVclWyywrdACp0NGj2qER70LPR/RcDgT4 YMOhLb2rTZPYj9BxH6AAPa+cGXWfil3EQvNPNuNpz3oykhcAYqwCGRAnDlImdZtWMd7W+EHV Dm/rrW7VRfuW7nvFh/csZtooWssMsBhFkhg+9kRGwoO/LUGnWwPv9I4A0aCqnI1ryIiSM9Ul wLotAzzX8bFUMCiCHa2thFQ0DeIKbXAzttuavARp72OjIO17GuMzJ1Mfo2hzDZGlrpdkCb7o o7E480MWJwyKN5cSrFASbAAuauI5OyxQQNDdM4nge/igHiOdvD9VaYh2075qXfyyrUxAK5sj WwMjIwQOWhmAbGr8jBC6aKxgNjdtzzdUSsaKkoiYJXHpXc9F03TpE8/f7p3XxI9j3+KJVOIk ru319srZ/QzH+wnO1jzHCUinF3JQ+6fbmFjQZZyEVkMdMiuy2PiRWJEXn3CnICopv8Xi+/Y3 KZYD47X39Hk5Vq4zovrL5kOopVfDm1DjnMCk9feOi+6h8KlPNXo1icCgJzxLRgOeObQnfUF1 I2UaKa/y7pjXYD4GUtocDquPdUcna9tws7g5mLJrV3CjS2PfFfIF4hnP8gM5l/14bC7g/7gd rwXNsZzKxAPsL9ATsbyywT4Bkz9gTdTiB3n+xB46QpTTi8DwamRUn47I8JoiafO3PWO1neWX Q5e/n6HNHIBDI2Lx4zZz4ObdGul8nwSNmV+OxiKejJB+f3qBm+dvnzEzQqL38AaVlqSSTtWG JFpSc+GnDXKsgLb3cIhWtZuZFhHQJh2znlpTyTsoo/qBMyCJlUMDCh7jdLq5GZaW7/QkFakC 9Sk8+m5Y1xVuFhYbUlhxSmeOpE9PWYPuOYHls4bSYq8ZlKHYW7h9WhGZLonVX9xmNb+kgrMX XI5zBSjqDIXjwpiH+nJSBsCa/5hWtQXVLlUKDH0+wt/e/PHjy0d4GGHaVZ87wSEz3o2CjKR9 sgtCixF3IFA/RjcyZtCTLxBXRYpdQuNc0ntJ7BiPB2UK2DDnr70Ua+UrdCpTefcQAG7z0FFX NFye7cLYra4XW1zwmGLQIuEy1eIByPUr16vMxlXfC/LCX65nK8nkYh/Txhc0wT9CPXesqPri A+oFxjr0+uKChp4e07SrjO/rSQTdTuOM2DJmPkpZpJgWN4HKcTjIjqTP4dGQtuXM6yF1wcEP KjRrZwaQfFStF3m4FWCAT0XEFHibgVe2Fh1bQotU0eBBymJqLa8TIFgxjr4/k+5+62112abT ferlaxBZX/Uv8wmv8/TUZ/B40VLigj2ZMENSBwjX/m5+r4+gK9oytXM/WGytSizsTg3HuQFi Pex3pP7ABtfG5q4OOPds8kVfZgPIL0I4WmsTwhARRvpIMl9DMKRcEzGaGJdbVPWVkESW1M6X FZDYksCUJjsnRpKQ7Dxbd50uOiAhyXcbuLCP/MgxZcbH86bpKs4/cNMorTZuTiIltXU/oLYA AOvy/qzz2/QQspEFG1qmu7jaY2oe0HLjVBb2QeK7umy6PCDL9EvKXHifOFp5TRcB9ATTPN1w YgiEIoijYWsypVXoaAnlIt3iLsjvHxLWXI3xmPZVaw1+fjUhyXp4GOz7IVMxaUoyYygtW38X 4PvZAk5iiy3+KfSyOlvhlpQVsZjFbWnkOiG+WhYXUfCFKYdirQmYd8pX6c5BpJ4bG+W0XIg3 ssiAEN2ek8JLkFiSCEunclddkhp1PcttFp5lijF9MoSNlnK/mK6+I91qRsg5U3VcBoDjua02 fS1dL/aRQMvKD/UuuL4IUDP6vhoS/AYKwMazH7WJNumpJkeCXYnkGqR4aKGplUKIKRczZPP9 t+hznsWqNxRKFWoblwZseeklYMsVtgU0BicmxV8vTKCvD5rTHVMk/xNi1y/FHpYZXOiYqrd4 AKGNr82pEg9VdF1wRuDdi+0bC8JWFkN1PmiDaA86lT7iTu+hlZVM6hn6wiQ088R9O3JdREpK x6+Xt0g/UPbz5KX35ipxCTc/wuaKulmxCM31p8E4FANY323KXtw0QAIBa4dnYSqUniv0bvFK hj0kvoW00KVCWFhMBTsqo58CTXockpRJdcMa/0qCBXIShXgIJAv9HT5jSaSpj5dZg62jTSJr RnDTG8uPvuCWEL1ZSdC81EUSNy+fb+RhegC2mXyjx2jQgCZO7k1IxFz924zWXLiqWISd6SgU Vz4+UhBPnj01BP3mQOrQD0NLc+Eo/uBnJelbPytS0HLnow9HFE7kxS7BEgfqV+ziYXNsu6T4 BW+0Dk1lRsXQbQCJImZqNGQGRXGEQdISC4kW0NAyzSss21NDhZREwc4aTxJZ/DKprMRymVxl 7W4MR5xja+4cRK97aBx5NaZDaAc2V5galnh4JU37KvrWo8qIkxtpZpxkZ8t02rpM895uu1Ub Bi6ewjZJQlvlMiy6NTRW7ft4d6sJsRWwa+l5HNvuIEDx8LJnSIjXGCC2fPFF+s0o8VYC75yD EB0X1dW7JD8kg20Sbg/nDzl+fVciXdioGdlCAPDGoMo5OzTRXMNSLT1pIHhduSgmeVdCR2i7 B6sxYHJqdafCpmPdJpj0jdgb2EzwvFWAfS62DLY/Z4qq5es+SNBrKSrFt7RWsddx4/PIjdCi Zoh22VLGqovFW99KmjcqNuOn5RG8AaMpMJR0CWJBOxE6cTIo0cxXa2CMHUeuHLY+Dl3Wh/EQ YF3t3eqQYn8BHwXMfQodS9Cxz9yz0DDXR3VNc1fDwCxtV6DBrTEVe4Zvo+0si1uDtt1qzC0M CVve8ZvLGdWI1wro62AVwcdPfQGrjUMl2Rd76RZ/l5rzKtizxG0KloXFV0QHBjnTJmNLLTt+ KdIcu1+R5qm2DAVJ3fTFoVCsaoL3Xo516ibAIoclT4N6bRGcCTc/ngC2+CxxS58zbZ91F27M muZlnkJIk12fT8+P85L4+z9f5UfeU/JIxc/0lhQoKKlJ2RzH/mIjgDOMni157YyOgPEDC0iz zgbN1nlsOH+lKxfcYovGyLJUFB9f354wk36XIsu5U29rGbMf8EaolGs+u+zXZqrEr8SjxL9Y R339CvsVyi0GPSaIAL3KYA2Mh5Y9//n8/fHlrr9IkUhJFn7mJQFTc9l6n7Tg9/o3N5KhyXAk W7jXTacclnGUm2inObcYOJYNpWDwCO1qQD+XOfYQfMoUkmy5ERvH/qKZpIXUCuSSfvz6/YdS 2Sb46+OXx5fXPyHGn6D9+tc/v789f7KyP63pB9sck2d1pYKhEPbn7Jj3tq1gzvBSb7oq0OrH ixi+8bge6G3JxgVshuA1WLmuapqQf9JjapRAlOPeCizI0q3M1GBuS21uWbbviuyoSWlVgLEU VShndUUuQbmOD+JaidI0RW9G7Plq5aKGgF3NYePTVkQQDB+IkCD0EUk2IyVEj18+Pr+8PL79 Y2vcTNMm/ARc+gj2k6WmNc9MQ+axZYCw9dpdzAFJ+UwbSc/16icj/fHt++vn5//7BM34+48v SKo4H4yWt/KVIhnrM+KqfuY0NPF2W6ByLGWEG7tWdJfI1sEUMCdhHNm+5KDly6r39Ds4GmrZ IzFo6PUPleRFkTUVrm9JPvjYdi3lOaSeo2z1K1iorCVULLBi1VCyD+XXkSYamxO2QNMgYNqo by1PMniu5YGY2RQsPrVl4iF1HPySl07y8BRzzN9qkLYvqyTpaMSKEdHspu/PZOegS1a1q3lu GNvCKPqd6+PLCZnWJZ5j10CXqvMdtztYmlnlZi4rjMCSXY7vWXYDefjBBhR5pPn2dAdazuGN KTPsk2/LnAqnOt++P3759Pj26e5f3x6/P728PH9/+vfdHxJVGYlpv3fYKsMyETE0cuUmLYQX tkj8GxG6JjNiU6VJjRQjYlydYj1APhHgsiTJqC8eWWD5+8htRv+vOzY+vz19+w7O3dScyvNn N9yroc8DY+plmZbAArqTPmdVdZIE6J74ii4pZaJf6M/VQDp4AX4RfkHlZT6PrPfl/gOiDyWr Jz/SEy3E1uoNT27gIdXrJYku3EcO1hC83Q6tcz0hotHgg/5UG4mDboLNdeWIXQvjKy+y6V2X nLrDTiu7eQDIXCM/AhL1oX/FIxp0PjF7h/g8woQxIjRKn7U9vR/0lM1HGo91DCP9YCGVuFgh sVSqL7GWRtrf/etnug9tmZYwGOn3YiT7TOgZ1Q8tzcdvJUzdE7t7B1AZBZrhpjVTlp0jrkMP feSg+8hTDwqNREJn8UP8WIYnsthDoVfYFXMZT7WqKvYxiFFpa0h3ZrsUeU309JLDjs2ylsTk KTpw+5HRCpkW7Dn6Ch2kgata4QCg60svQV97r6hnNulIG08+ZC6bNWEt3GRIzPzd8NJG02mo t7ZO6OiJ3kNEqXkuKvXNkvH4+YZ4QdFTFmfNVqt/3ZHPT2/PHx+//Hr/+vb0+OWuX3vLrymf gLL+Yk0Za4Weox62g7jpQnhtZ21pgLu+ba7Zp5Uf6nNtecx633cGVBqiUnl3W4g9Zad+6biO NsaTcxJ6HiYbWWGgfX8js2zqj9SHreKxDc1+fnja6fXMOlLiOMY0xIdIz6F4bOqM/Z//X0no U7h3YIwpXC8IfNPZybxzI4V99/rl5Z9J3/u1LUs1AiYwBkE+YbGssuHd1iUlzm7pVTRP552w 2V3k3R+vb0Jt0RUUNjb7u+HhnW18rvcnz9CWuNSmdzCw9YwhnUttbR4uMgR6O+ZCMyAhto/j sJS2o+WRJscSO4FdUH2CJv2e6aq+OQBFUagpv8XA1vih0Uf4ssezz1cw1PvaoHVqujP1iR4U oWnTe7atpVNeir0lUcuvnz+/fuEPsd7+ePz4dPevvA4dz3P/jftF1MZpx1D+Wg9ZxxjLFR53 //r68g28ubAG+PTy+vXuy9P/WLX3c1U9jAdk09jcD+KBH98ev/71/BHxoEOOyvVx9hOsGkeY VTbANMe/IKIFVQWq50B+5e7YK+vXy5GAV1K0zQFGr0UP3kYa7FFHJpuTZT+ES7JsX2BS1WMW yDOWwfMwO1jFmz3QuAW5CrPsv8I0Lw+wd6fGfF/RyTeoKhffsPgr2o990zZlc3wYu/xA9TSC 39mRLYuz8VB0lcUj2JSZNE/VaPpeKx/w6osmiDFR+TGvRv6ID8EgczYMvqOnKsdDpaxGF7dY cI366cvH109w8PB299fTy1f2P/D3qC4I2XfCHS5TDrH3HTOBFqUbBXo5cpeZQ8u39XaoQwCD FRqm5m3JFKpRV0kOo+Vyaqo8U3yzylSZ2ZEsVx0srFJ+xbPtsWM7ILGeqrkCXaUjxe9MS4y0 wAwkS4Qp9t9Wn593/yI/Pj2/spGyfXtlOfn2+vZv8Nf3x/OfP94e4cRFrz5w+gAfYtvaPxfg pB98+/ry+M9d/uXP5y9Pt6PM8NPcFTbKZzlC2ohoLqMTJao7KQi3bs6XnCjVMYnGMj+S9GFM +2HjIHcmC9+JISqeX7X/5puRzEPW+VbYY3umJ73VzAywgFwWxxOWQt5bdrKng1kycue1Y9s1 +/y3//gPrRsCISVtf+7yMe+6xuKScqZuN3pOOV6Ws7pPb59/fWayu+zp9x9/skr70xhB4Ivr T0Rsu8KtErQH9AtIr2xKBv+OgtXs3+Vpb4ztKlV4Tc/IT8R6PKdYpOgUxKGyubKGd4EH5x1J hYMmivBE8Jd9Ser7Mb+wgQdNs6B15xrcz426S/ep9yCVoVYS6+V/PLNV4vHHM3j7bb5+f2Ya 0dyN9Ti7/P0ZzsYgyubc/wYqoWO2PV6UM8dFOdCmhD0IfsXhTNu8zn5jyqfBPOWk6/c56bnu 0l1ICTST13Z5XrVr2pg+bnDgVHzOw/5MH66k6H9LsPRRphDIWTAI3OlfWUDzOnfcxMNvLlLu W+WrKAXHXFcT2NSuSarrUX6fwef4ioTKRgoMqHrzq47k6OmsLiUduJ09ZVWBIOUl06J/P5Sq YN+kJz2JRdeDZ5v2rMpbUnM9VZk72scvTy/aPM2JI9n344PjO8PgRDFBgmLqKoss7ygr+dLo HxOFtarxg+OwJlGFbTjWvR+GO5vWIr7ZN/l4KuBqsRfvMixiYPQX13GvZzZIlxHGYWouU8ow ZCpVJLXi8HUzcXlZZGS8z/ywd5XV1sI45MVQ1GDJ1h2LytsT2aiaQnsAcyiHB7Yw94Ks8CLi OxmesKIs+vye/bPz8eWvySx2SeKmluDquimZwt868e5DivkMXrnvsmIse5bGKndCfbtkYd2f SEbo2FPH8iZZohb1MStoC6Z07jNnF2cO/lJNqrGcZJCrsr9n4Z98N4ium4mWPmBpPmUuW85j lUBJRc+sEsps5wQO2lgYuHf88L22Ya0QjkGI3qFfWTVccSsTJ0hOpXKutTKaC4Ek8x7iommR KFEUewRPkMTaOe52V+P3TIaxKsnBCeNrrpp/W3lNyUbaYSzTDP5bn1kDtyxD5w/A/WGfp6ex 6eE51Q4dQBqawR/WU3ovTOIx9PXJWPDY34Q2dZGOl8vgOgfHD2p9KBVMy+VqPFcdecgKNoJ0 VRS7FjOGKDvx8F2YldvU+2bs9qzbZD6a0Lnl0Shzo+wGJfdPBB1EJErkv3MGBx2RFFZl6cEa yfLA0s5HthUMYpIQh60RaBB6+cHi5gj/kJBbw8rCbg4s7O3qoXlx34yBf70c3CNaYifStWP5 nrXMzqWDY+kWE406fnyJsyt64wBhB37vlrk10KJnzYf1StrH8a0gFS5e+TIl2V1QTlM/sAXp EHgBuW8tyZo4YRSS++pGZfRZM/Yla/1XevJv1VzfMnLmeEnPBozt/E7UwK/6nKDDKGe0Rxcf QfvuXD5MSkg8Xt8PR8sgeiko0yabAXr7ztvhxlxWOhsPme58HIe2dcIw9WJvcx09KV2KHqdf 3VuVnRlR9LZ1P3b/9vzpT32rJc1qinVJcP/Q1PlYpHXkofd3BIs1GdijhD0mXcuZ524mqmc7 ZRJcsi9hmCz7ZOd6exu4i1yj/avoecCsCnDdv2cZ6KPI9cwgmG43ws10+1ZHBfsOrBjA4mnW DvDW7JiP+yR0Lv54sOkV9bWUt09lZGjHtq/9IDKaHGxYjS1NIs8YvRdIVztoAX22SCLPAIqd oxqumcWeb9eghE47tSJL5vpTUYNXsjTyWQG6TB3VNkUbeir2RNhHiCNvE93+NtbTr+H4zTOT iLq04DQ28R/aQO//TEzrKGS1l/hWJDKQvs1cjzr69o64wM8GVVIPkR9soLHyiFlBM2OkVT6M UNs6vP17YDLtEodmF5IgYS7DvrkjMVPUNM4yjlSnrE3CQCudddmqHhII8UhOezMFCK/wqGnY Qyakel/WBlNzJJSjyfuaXApt1puEqHlHGCEGekAvcEAVdWl71BbWadF1bJn7Pq+MfWfR+zLU GzI89wPOaUj8MJYWujMAizjPC3HAV+2Oy1BgecU8c6qCTbb+e2w3c6Z0eUuU04oZYFpEKPcT SR77oTYXDHltCMYDn1tqbWF/2TcDv1+uTRh8k9gYM7KD5VYPJN1FvdLyjJvTPS2wC+piG8Uk kwuxDqL5IN4UweuvnOILGbYsyuue71SN789Fd6+xwK15R+qM2zLk8/3h7fHz093vP/744+nt LtNPVQ77Ma0y8NMhJ/WAv25Bg+KR7B8//tfL859/fb/7zzu2xpuf+RgHo7D+S0tC6fS8a008 IGXA9G4v8HpZEeVARVl7Ox7ks3ku7y9+6LxXTrpBLto9djQ1o748OYKQKZxeUOkBXY5HL/A9 gp3cAj6/QdC/Y0sJP9odjujx2pSj0HHvD+qFa0BEZ7Z8xtbCPuvQskXR+WRBL9cl0JVx32de iG0zrJTFqBHyubB6gXablcS9J93g8JeFVzaq3eCJR8E3SJSwVRG2A7VS9HeRUmoXu6EYlCSR HVJ9W60g5s8QobGCjtA7syulhX6sOquWsm1/lrySpEezSBAW+45SGi+sbOKyxcpgn0WuE6Ol 06VDWtcYNBkRwpNjtIdp1Lkxtsyx8LG/Yor7dE4uDYyLljGFaFzcmIm0OcvTCv85wuM5/c2r isCpBet9BTZHUyXAOuNHDp0qauVt5kkw5mVmCos83cm2F0CeVYStHEH/NsLpyLUqskIVvmMl bkpGtgA99zB8qBjLI5i/VoVVMeQdQGYKG9VypySG924smehzromFlI3xzlFOBhnGlHQZ/c33 ZPn8Orcp2UjcatlvuyYdD0YiL3m3byg/bE0PFrv7Cq2oe+ygn6eZnzX/Y4jmr1Uo7cvxQuBU gJ8/aema6ubd9JTTdpjK0yZ8TButY6THvWrriBcSnKDVKfp6GXCS7mKxENa/RN/UKTWpbPxx BeGU/cKvJPAfUzdcZHK0J3An3OWkLBu4TfAhX03l81S3BdK80gKbADi/SdXyAEO0PGuKcY0Z gTeRHVgmtvcpHkBmpGISc9eFbEViLRyZR9usONgTPt/yQKNiUPqBTcmx5+6qYQc6A+sPKeZw VPum68MoCDnZFjKLFHeEI3G6vG6KDimbBZujkBsVN6mNVkpV3HcN7399o6L7tIp8biiZjtdT QfvSaOQ5LY41XOkCktFeV5TVptE06Wt6J67LwO3Uw9vT07ePjy9Pd2l7Xh49TXcYV+r0EBr5 5P8o/iqmzB0onGR22CJZplBSmAUDQPUeaaw80DOb2wYco9QSGm93OJTbk1Ckh6LEWgygQ3qx DSQzpWsrejTDLqqB5+I8yFP0ZqWoSYBmcSoiz3X0jmfEdMSSz8Q8jAJ1o6aR4CIBkoUj35Ar S1ihnXtbLLzcb8cjaBvhtKwPwA5kIy5T1OCXg1i8Jc6fCSvc4o4kv7+ykYiqvx/3fXqhGZYC 2hzQQERn6qvnj2+vTy9PH7+/vX4BJYvCmuUO3BY88gqVrTzMtf3zX+lpHdhqrh6mbo9jfHMI ltUV97xs5Vm6xdAf2iPBY+B7YMu0NPV82Ds2PSHLc888rRrzAjmP574okZgAc/3YsyOqIU8D pboitKCxbLNZRQYrEm0gGykB1JqS2HEs+Ytd1bqPjo0nbNvdYGnWYBf8PnAdbIkvE9wESdp9 EOjq+CQPNe+OKxKhz6lkQuDhn4Y+ao5dIoRoaso0jOTXSDOwz7xEAEZke7bCTLHV4UxIVcNr i5j6Yemj6RfQVt4FI7CFGtpD3SqWlAZeGSANiwMh0o4nAG/GArTkEKCbaYnREgfI32qEQIhC PEGxY5Fbche7tr4woTbj0DJtGBK7l96V51t8F0uMAE+mr1rAXJHQL7fDHDwnVk+6ZohrzFuN kOlTSK2LgwR82M5p7GKtlsl1354LkvjoxRqZ4CFdWcjxhjlh6Oh67KsIG+XhHtfY3fviVbeu BhC2rnASJBkcYSsOYoFCBykOjsgvQxVg59kQP0aGrhnBi0KgOwcre5GMrdZT0SrZudF4hY1c fqCGxCBxJltbJomtNtwoQVsAQHGys1i+V1g7tB1P0M8FgDcKABUb1hqAl+0M2oL0nQgZjCbA GiQHrUGyUkSa2ozYA+WoLVSwYI+HGrre31bAGhsH0chYB0N7c3efuEir70o2KSOdFRbuLtJP QW7jB0hdiA0ArFEBEqIOvmfd/9iXqm2aBSmOFckoohLMCF5wC9rl7D/o5/z6AWF/z/b9zCWJ 4LA15FbaJ/Xe/JpWHm7jWmaEmAIIQOSgysAE2fzTayzLbMzgIIxQP84zoye+h/RhkIfoAEjh vgLZWij3hHphiGhMHIjQ7AIUoy8cFUaMJolBYC90++MwdtGRkEOoMWSJwXRqZErqmTYQuDsE OJBdEtuAHVLefXnxPYcUKaZoSyDeC2QCOoQsBF+x3GHC3oDlU4ZtbU0lbTfblbuZGMP/Bkb5 qZiydHADvO1Qn3hejB2qrxShruKfMyzEbz/NnHNGXH9TN79WSeiiyQPE8kxcodwKPUHGXCaP XWTgBzk234Acmyi4HJmIQI6p5iAPLekJ0cUNIKj1AIUQ2T5NUB/ZKyHB9E0ht7XACd1ufGAc 10H6M5fjUe4w7YfLkfEU5LElnBivwF2CLAE/lH6Cql2g7MYhMo5xU+2oZirMu2/uDkYRFldN zmxVg+oVAIXBVv0DI3EtoSYeUnYCQDdZ+pZEbNFJ8LsKM6ts4b7ElRI4p+i29joE8zIRzaQI vBu28X7FV+MFymah8p1QaeB4E90SXGEVEJudx460pxlVcm7zQ8Ux6XKV/QSUPw5DSks6VRNH fkVmXgBiwjW97Me453uyD0wr6fL62CtHUgzvyBVNyRlCN9MAIU5neHMy6Nenj2D3BD5AHBTD FySAhyaW4FiVnQc1zVw0Hg6atFXsbnLRGU4ytQzn5X1RqzIwy9A96LKC/XrQymNMmzPuCgxA 1r5I+f8oe7LmuG0m/4rKT0nVZjO3Rg95wPCYgUWQFEHOoReWY49t1SdLLkneTf79dgM8cDTG 3oconu5m4wYa6CtzGJVVEfPb5CQd/ipEoAM7lVUiHUIYg22RV1ZO7hHmdUMipA/LEiu7roLd Q53c1m0TseFVcGTTymGyzYqKF41T4z3fs8w0e0AglKb8eRzoKXHrcGBZXVD5fzTr5KAciZx6 nCpPe49wjrFuA6x47cyW92xjW/sgsD7wfMdychHoZuWSw8Ihk5MjQRapZOF2UVkSu4C82Bdu 4WhLfGFpCLblkYDu9/pQQB9WwSoJdkozJp2hqBI9q2yo4LBlyiKtHTDuUpU/gUST1VyNc6Ds vHbmRVHVya2zYliOhr0wt6zt0wDDDA/wL5OaZafc2TFKWMtZFJPA0QSKRuvvrFYOqCSm7nEm ScQr7+uM5cqlJwp+nLGTrL0ZbYAvdECFnrd2UyTjupOtenQOVwE+MhHkR2WSoL3qbXBFyDph lCVWh0syCcdD4mwZUJEya6RbWiUo8VCtePQKZNI28R2ATvfY9ROsqt8XJywvwLzm/lqEPUkm SWhrRAeMrbM5Nnh6tqWcezsc56KoQ/vSkeeisDndJ1XRdU8H7SHeVn9/ilHI8XZCCftUUbW7 hrKLV2dlVkpTNKLO7SHKjS1bDAWhOlYf0AH1RU9QULN3RLbbAs5MyyDBLdX9qLMQ1DV8ejs/ XnG5C9ZTaeOBoHXEmLE4koUOGCPiK5lqhPR5o/0NoIOcyc8HkyyihZiKqNhFvM14XYPMCcIh Z8YujXgiUQaCYX9q64rTIfCRoMlKjjJjkAD+mYcMVRHPqgiaymS7s3dJwAW+0HH7VY8hETbV kAsHePn139eHjzD/sg//WuHJhiLyolQMj1HC6ZBXiMW6q0xOtEMF2+0Lt7LDaFyoh1MIw9QF dAmnMuDKhh9WBQyoDgxG0ghBfytAyqt5RBlA5slBnUvjBMFf2jqdgrWOKGBg1GEOx5jpIajQ mwqPyxxE1XZ3wKhj+XaMgoV2xJ75hfrMyJs+mtwjgrF6Oruh3Uw1QT6fzJY3lJWhxsv5arFk PuPDjI6eqpuBhm3mQ80IXbpQR9+uYdVkglEvFw48yabL2WTuxFpQKGXfT13ER+zM4ebmOe6B jpnCAL6Z0bbvA8FkSnpmINrNOqeAmP3Nr1YH9XJXKqS7YziVwJzgpEtHj116nVAunWQDPXip Ug0KUdAyeke2XgeSEYxtWQZ7BdEr86VVQfs8xiCQ2YLLgF0GB3pIYGoDo+lsISfmC5NCkDl6 9VyNZ+tAHmjd8Hq+DITB1OtD+18Ep4NO1OhUp44Yph7zKlNn0fJmGsgrq/l1KSWD5Q2JKv1V s6QMYvVXSZ7OphszJLOCo7vN6sZfJFzOp2k2n94EB7yj0E/WzqamDCL/fnx4+s9v09/VEVFt N1ed88SPJwyqR4hOV7+NUuLvzra4QXFaeNWUJxmRVzjd6OwI08L7CCNChfsfrhzX682FAcI0 KZtTTTsQ6UEGOUQ0P11xcivmU/LFUQ/odvSPe/zw+vXqA5y49fPLx68Xjo+qXiwn3tqo10v1 6DkMU/3y8OWL/zXKQVvLLcUEu64PFq6Ak25X1P6E7/Axl/R1yKISNXV5sEiGKF2BihA3VQsf mRGjLAyL4E7D61MATW7iQ/N0dL7WHm/V3w/f3zA89uvVm+70cQ3k57fPD49vGFhSBRu8+g3H 5u3Dy5fz2++mGGePQsVyiR6WP+spnZ4tWOWSwVT/+ZDkSU2nNnOY4RNpHupZ1/XZblB9IqvB ogikJ77BaE80BYe/Od+wnJo1CZwVLZwI6Jkjo6oxojQolJcbDqFmJRVVF8ARNpqUugkrmt6X xv4yuV4GpAyF5uvZzfXyEsF8EsgT0aHp+DwamcynVhw2BT3O114t+XJxsZTrQHqu7mNHfuug dN7ajuHcq1eZx2Y+zTpCF2EbAKfsYrWerjvMUCDilCBONiEWjEjRqEOMCLZpUj/HnTzlEaZM NB2gDgpq3Cb1x8ZTs/rdimKf6ByPJw/nzZEO3odxDDYAiWDPK+n8YE4z+kJZc+wimIwVwcDH 9vtevFhcryfdOWU9hmgMWaVbOZlO6AAWaPfPZMQ5vgfSO0sUk+4PJauUN1zZRe8bwDowlkKO TlYduCrUOC2t108VzwXvWiDySOk4sg+EXV+AWNEW5CuhSWB1jYFQl0KyMVYjGnvrg59txOmn N8SVmI1zm+S8ugvSxBhq2acxKJhpBIoAkHmiQs5tIOb/G1VRVhGw7VOin/qqasxrMoJEurLV nKqWKeXAsU/RJwSmXKPu/YbqXmH20KY0toEmY0WUF4pBiLt+PnEgrbBMtwYwz+ujV4BCbKlT RaGF5YIKNQaBUOlPBcthyhkyEmoi2zH5Xw/dFMdtYwVvZVGVtzsp7E/NcLNdxEuQ5K0AHB3Y cWi0kRt0VTS1Fh1c+dP6JQiqWIHzVodh6PPeekTKkRMWSALro0lT2xBuH5eMnNH7XSFr1S5v l1YuN6/Pn9+udv9+P7/8sb/68uP8+ka9V+5gMlV7cpP8GRfF5nh+6m8vBHdUO3e9SLYB8dAr bbKvox11IdEMolsrJggAU2n9xM0YZKkBYxUAQkjXTC4LSr+KRPDfBt+8xwAkFo9tHhDnFBJE S+Vf3SrfVu9bjYZBVmjKGuHAizrb2DFR8FOYnsh27AGLcblHnbC8rNg3CTs+gWbISHKys1Hx s4+EA8S4wO0xY6auU8Ej08ptMDxoy23MK5jnvcNyN8uICdR/u62Sk+XLG2GQeO7+dp2yB6i+ Wyhxgd8n7e3mr9lksb5AJtjRpJwY55cmFlxGF52kOzouGUVmE6k0su4e1+HWs+XS3pA7BIvh z4HBcokLv80Ky5DxdGI+q/nopS2BEgSkFwNBZ6cR8AlWgWcbj3I2IVMW+XSzn9QdhfhfYTRf mo4TPvpo2mMO6AzHZTWbrEO46+P8SNZPYdfTFW2SaJPdTAMpjzwyyqBrINoj0fTaNL9ycbNL uPkF3CKMWwV5trF5SvY4UWYRYmBk6VmvCMpoNl+52ZlditU8cKg7hHw2IyfugA7EpuzoItxy o75F4eJiJifrQJ3j2r2rOvhTrrJtTyfERNzCTrQrY4oviJVH6g2835yiUutfqCqxu03BqtjN JeTSva+8bnZJbhO0aEJbjnBVIqW0i9GI22vggAthYhbACP2RN2QdMqZ0PX3XJXYO3gGMPUPw zHm7Ws4oK36T4EjtB4hxggn5BNeTwKcZ25TR5ZmeqyOGWm8aI+wrQoer6th5tncp5Gp24WgQ lvHTWCAIulqEcNnpIB8/Py7hSPQnCZ6TBE91fEpabu6np/5/xiltMrEvXdqTfNkDV32gFyhw VTQ1z/3z3AkWZ0Lb5Mi6dOBu0zS+Y5vQgoqs2ZaTFjrH9cpIwO5eWVC6aw9mRgL40W5EYfnf 7Bp2SBRd4AESjSTwQ4kPAoe2KWMWUA2MtPWuyWMMs5ORSZWPoqvX+K6RsLtgHY6cFSJcxS3f MlRXBAlYlFS7mH6QQFx74FWSJYEnNk0RYi3itgyo5/EYlYdNU9eBK5WyVW23jsPUiMakCxkr HTtIG3+56ooiUPUkSWBbusDfnl16zcMsyzKSOm3e81o2lxj2JDXbZAFDiW0J/VnAvaZu05C9 Zanezela9N3R7or6NqHf1IFBcLZvBGY2pZehsp2SGBvJfarsKFCxd1uyC5ZPA0VGmrSRPd7n pXOWmbzFBBD1fOEGqbaolHZAljMvqY1FpSyB947CxaGBv3Dcztp9UKuv6USSZwVtLq4J9pua Hlghw2u8jHQkKAmLpgl4FPRJIMITsCe5m9KnZh+beFO3VXrLAzO9p9oF50FHEN6PSkxqUgZ0 UxebUA45FC618yTrRFyvLkzEooRjpbrEBG3qlOwJ4wa0ec1D+77IjsO0vTSDAt2lsZW8NPuU uWakQ5V7b2jaTE9+P58/XUkVvuaqPn/8+vT8+Pzl36uHIbBw0AZQmbOiogK462g+Kez65Evb /7cst6gmV7EK0yq5UxeTqqAnmaaGo6V11VMuSZNzqHRgMnXti5rgFcCgIIawn3VCKxptPUFV YLas7it6bAUcFwwD8F9gLhvV3SMns5QeCXcYNKBvi7JKtjxwoPbEsPljmMOLNGVVzNsLh3NP x7ZbKBHtboiq7zCUZpSZlusdBMPnlayy5WtR5Db1CBvDo+rp+fj88T+mrQmmWKzOn88v5yeY XZ/Orw9fnixDSB5JStZC1rJcT63cj7/IfdB0i9vJYu08UvX11tY865Uj3Brom8Wacus2iKrb tSOD9xjJl06EbAe5pJIf2DRT9/HAwJEGaDbJtfuC1eOiOEquJ7Qjl0N2YweBJ8lUUuDWTSfp E2LMQvj/NqEe4Q26fbQku3QTX0/X3jW3x6b8CFsh6kICkynbijYyQ6d3cbv2kaW02R1kyUES sK1Tjbktn3+84FxzjXygjGRfo/HA0njRUj9bZGe0KbvdZPFAOe456KyCqSHakterBW3VS1Zi uKAwnm0K4yFnEMrEzmplGVE6ApbBCcJaoVmM9dJc1Z2P+EprDHmxN1MMK5gVPVWDRtMOnQT5 /IS566+00rD88OWsLHIsy/Q+7O5PSI0dRZWkXuxJy5Aerx/llWasrnhkWUj5NBm7D5i6WKSo bKzhhGm2lAK6SDW52y1QgFk63s48PaqPbffUY3avQezKUX1Ynb89v52/vzx/pGzRqwQdOjB2 LTnliI810+/fXr/4C6GP1DiyR4BSzxO11cjcuP5riIryvUXbwjAGAS520M2O1beqaRyUGIUZ 713eQpfQEb/Jf1/fzt+uiqer6OvD99+vXtEs8jNMwNg292ffQIICMMacNPu2d5gg0Dro/cvz h08fn7+FPiTxiiA/ln+OMS3vnl/4XYjJz0i1Gdx/i2OIgYdTyORJLb3s4e2ssZsfD49oNzd0 km8DyevEtEHGn8q9uRMms04l3ZX76yWoCt39+PAIfRXsTBI/yHHo9D24dRwfHh+e/gkxorCD z9EvTZtRNMWXL5Sn+5K7n1fbZyB8erbS2WtUuy32vfN2kceJYLbG1iQr4TKAQSvziMwYYVKi gCpB/huHx0SjUa4sWRRA44bH94nbiNidAGN79ZV95JYc8YbUM0j+efv4/NQliDDYjO8/ihzE iXK2phRTHT6VDAS4iVuMZyzagYfHgvmCzA/akYFYOF0sr689toCYz5dLCq6MxokiFWq9oOzJ R4rOotyGl3W+nC79tlX1+uZ6zoiypFguA6b2HUXvbhSuDVDAQoG/VvoLAYdHZXnSqoCncZq1 iQhYU3GymLy2DAjhJx51NGHL49olVkNIlofYpKSsyRCjPZhq0y4LwSAGbsvCfDFHaF0UmUMH C82hQTtg16NtD3fOkCNXefADS6MFGWa196MgAAalREtgyEAApkQ6NLMEkQ4+MXdXj7cxNCWG jN+QzqVVIpPa3rAtjF5D24N1+CuMiHYlXOdYdaTvE5oKQ0t5bgOqM8rdCQS9v1/V5jr2RB9w HdBjXQxglzJNo4fClG8h3AaQKTka8GHEcj2M6J5Hqhc3kWhvi5whu5ldA80g1imwi6qydjsT GQc/kzypKhbAsWxf2CiMkM3FcS3usDo2DtMtZFZPGMjyyNrZOhftTppRCSwUNtC6PCBTVpY7 zOQnYrFakRpmJCuiJCtqNHGMTQ0PovRkUbeyAm4cIWQiRGROXXsmGJXCQyxiVOQFEVn7itBK Wpqwzcoh9kd5fvn8/PLtAz4tfHt+enh7fqHCT18iG9aHqWKGH5hVzAO4RkbQ7wv7V3+paQ+V VoGac3rR3qontcA1TX8PF5kuNb0WXp8+vTw/fBpXFAgUVWFGWekA7YajYgzf60I4017O+apX 8b37+wHdK/7r6/92//ifp0/6X++MvcwrcTDFJq8nfRuMl2i+yfcxF9SjXWxGF8hhUxbOT+1Q YJ0tGlyiLjEmgwN0mWnaBC9RHsNKF6LD2hyu3l4+fHx4+uLv67I2k0XUQmczaDdM2kbAIwrN DqmxRoq4EeJk84MbTxWhyUQuC1ura2AHL56ATncgTGF/dB+b+0NELd96R44X0QV9JVFysI81 9SBR4izw3pNNaUNsq4FYumk+XIpoH1Dz9XRDRHdqkxioYEYvnKijAw5zVxyLGYF1E612dQK5 OLlPPGxXkxKXUFQ0pXXoKn76VXkEFikN74UyH9KmIqGh2JQAxq2ohQyV3bK08QYG4TkvZK8W YFGbB2yWBnrLfiu108zCT+VFjkateUHGz0ESne2mvw34iJ3plWTAmdK52CgZ2RoGBdskKU8p MbdOhssS/JO6ZJrg4WxCjRaM/1HNAG2C/ePx7eH74/kfK8LAQH9sWby9vjGj1HZAOV1MLH8j hAdkf0QJYb+oUAUb17yitGRTOJRwn1KW0SEBWPKCtiWQGRe0MKrUXZHWrJnvxcoczHhfw59V U4LcmlvyeAo72V3D4phMPjq+xdYgFIBcUTemTkTP1bvEaqgoAieUc5fVjqMPj+crLcWY9/wI No6kPWCQIO1kN5bZZXmCjVei4420tgKJ733Mqg7c2mYt7Rp3rOdOEqsOBGKUxPyvEX2P6qlk EjWV4/o3kix83gt8RVC5KbFW4c/G8q277cIs1GMdymqlkKNMZHTl+43p1oa/XNkLyhMbNRjm JYdLFHNaU9IZgEAaWfGGBozKGcZzcjMweLZHVtcVWZzVLX4Bl0fkfV/j4cP3oYE28EZvG1DP V06RYlAnDOhBr+2jKp8oBgTZmVMzzJ7mTtoBuamrEKucZz6zdOaRG1s0SoLk2UDPQbzOm+Pe Q9oNKndgzzNw6PymdD6WvR0+1qE69hTAAy+43lWnsrYPTxMM4sLWbqOF5blyAlK/Q82G2yw9 T1LpOUi6AK4B6knQqCEb6MaCOli3i+EjieASk9rT43HXFDVtS6kw6PSmXvxJIweTMqqtNYIe JKlc0LNGI63lnKp9yrSHbMzIhZ1uxZm00KWYkT71fVmjDx+/nq3Xy1SqXYXW7WlqTR7/AVeJ P+N9rI4K76SA0/QGLt5WXd8XGU+sQ+4eyMimN3Hat6IvnC5QP+oW8s+U1X8mR/yb13SVAGdV R0j4zoLsXRL83WvOMJppyUCoXMyvKTwvUIUkoYHvHl6f1+vlzR/TdxRhU6drc6G6hWoIwfbH 2+e1cRHNa2L/6I/0Sz2iXw9ezz8+PV99pnqKyCKpQLeBO45C4tNYbbrgIhA7DMMZ8toMc6RQ IL1kcWW6e+kvMMIZxr0aQr902Nuksnze+ntwL7aK0q6xAlw8RzSFc6xpIEfR3LTI3zVbWOIb s8QOpNpIQ9W1CV9WbQ/SIIkRDMKYpolIY9gzE8vNbAgNhla6ec0jpxr6f+PR2j8G+aM+ipRS +69rKzejoUWFbtHeMc3i0HHHUmfbStSW78pdPbBzuKZtsXcOK/itQ/NZvDZJqC4br95B0vfp cEg7kE6wmJiCRYdRT13aZzXIUjYwutWJ4NtPPp/vZQGoI6KkIEShLyjGusVDt1Bnr/QLuacN /zUyuy9cphVGcfHZVM2G06ZeXV1U2uK8yOm3GJOorHjhnv4kIbooBquuSVK2L5pKN2O86214 aPCjignrYFW/tfiknbZHsx6NckLOjHdCuLbJHVnI/ujNRsFzGGeSuhAe9a4M1f8uPy6cpQKg FQ3y5OSqK4va3GVdmHdL/XvYqm7RqgHdBORf08lsYSyRkRA9ZIc5GSwC59xA5ZWX3S9MpFsK oHfRL5SxXszCZdzLOg5jL5Y+1rzvGVp34zeGog/XuacmKmHV/udcPY7voJx3HtdIv8aG+diJ TzsgrBDrpN5bs7BxZqX+PWgNDKgfIKcqwrcmjI4g08AVLKkPRXVLn3C5UyH8vZ85vy0duYYE 9meFXPz1zSaXB0Y/7GrylnZ2rYqiRorgl3gj6GINxWT+8Z4IBagkQyK7YTGX6DgCMndJhToF EkrJva2UtS/c1grjuVHtls5P7AqrwCFsTD8/mrwy9Tb6d7s11yAA4LBDWHtbbew8DJq8bwbP 1amIoVwjjBMSeNHrPnLfZsZNPil3gZMCzhAYW+OXklWlaceLQAx1cBiro8fIOkeQ6pCw27Y8 oCxHRylVVE2J4QvCeCVHBOrqL6IRSptcjHhU05QYXT7g668If6F+8pBfpCliFlrULLzeb8rA WjcTSsCPcYvzb2aI7q927WJuhUe0cNfza3oNWkTXlEm2RbI2DWMczCyIWQYx1yHMKliOmd7W wcyC7V+vKEsgh2QRZBxswGp1oUgqXZtFcjP/v8qObLltJPcrrnnarcrMWh4n49kqP7TIlsQR r/CQ7LywFFvjqBIfJcu1k/36BdBNsg80J/uQQwDY9wGgcYQ///09747kFMDpe20SO1On3cTf OEt3JEnqApdadxXo+OwiuBAA5cwQBceyQX35Mx7sTWSPCM1ij7/ky3vPgz/w4N94sDeOQyf+ rlW2s4GFCe24dZFcdZXdEIK1blGZiJADDjhG9hSRxIDNgcoUQd7Itiq44qOqEE0iON+CgeS2 StLUfkvvcUsh08m6MTj/mvsygWbzYQ4HirxNGnuYhgFRsdC9Qpu2WidsCDOk0Aqu4as45YwS 2jzBBW/wewoAomKViTT5pFIx9LYVphbDepxSJtH7u7fj4fTdD8unc8MMjcHfXSU/YhCtjtF1 9nysrOoEuMS8wS+qJF/yV5DWbsvYuyTH+rp4BVK4VElUbC8sLb9jXLaazMzI0p8zmWBel3pY 4HYcCtesL8fC42nTKLYJuHwvJ8ZQRCkabrYXwCuiFl2ZXBgcHD65RKSHR2F8JdPSSk3PoamO 65/+9fr58PSvt9f98fH5fv/zl/23F8v8ZmhSDQuRDww7kDRFVtzyTrUDjShLAa3g4/oOVGkh 4jKg5hiIbkXGvxGMbRYLtCR0kxf4tQHbXADLlNa84+dICVvbdQbSNPgUsXSXzADE1KS5wFdj 3kIm0BO5YY2WtC5gXM7CDBddZ9c/fds93aNr0Dv86/75P0/vvu8ed/Brd/9yeHr3uvtzDwUe 7t+hq+cDbuV3n1/+/Ent7vX++LT/dvZld7zfP6FhzrjLlaXB/vH5iF6ih9Nh9+3w3x1iDden iDSlFK1rIyoYhKTx486yVJgJZCQhECzeaE36LHtgBxQwuX3pAesjixSrYKcvQT2wCpjGKoZ7 CtIgWwSjJQQ/MD06PK6Dz4B7ro7qMTj1cGjUa9Dx+8vp+ezu+bg/ez6eqU1rTAAR4+Og5XJl gS98uBQxC/RJ63WUlCvziHEQ/icrKy+DAfRJKyssyQBjCQ39jNPwYEtEqPHrsvSp12Xpl4C6 HJ/Uiylpwy0OUaPcCOfsh4Oo7cZmUVTLxeziKmtTD5G3KQ/0m07/MLPfNitpBtTV8MaKiNnP fZINaTPKt8/fDnc/f91/P7ujtfpw3L18+W6+fPZzWLOxkRQy9peMjPzmyIgljGvBQCsFdttR ZwHZXA9QW23kxfv3M05C8mgwAkY/FOLt9GX/dDrc7U77+zP5ROMBe/vsP4fTlzPx+vp8dyBU vDvtvD0cRZk/4QB79Fu4AuZKXJyXRXo74zNQD3t6mdQzM1WIg4D/1HnS1bVktr78mGyY8ZNQ OZyQVsBK5dhGHqrIXLz6vZv7kxkt5j6s8XdVxGwFGfnfptXWgxVMHSXXmBumEuAwt5XwT4V8 1Q/9BIofVAMvNjfMkYVJkprWXwr45rTpV9oKcw8EBhqYN0OHpk/fTDA9VsPgTu8GaL2pjQ8P +9eTX1kV/XrBTCyB/TgwJnpicyEaJilVJ5379c1NWKGnKOapWMsLNvSWSeDPt4brPe21qpmd q1TwAczYZmcXszdicAkNCwSD61ix6/RdEXOw98xQZQlsVXIB4QTc/ljO4pkVUlHv/pWYMUUi GFZ2LTm1wkhz8f6DouLKfT+7CCPhy8A3HJgpImNgDTBy88LnNbalKtftJc1YR7OJoc48/zJ1 ux1evtiBAPqz1V9ZAOsahkGT9VA+sxqL7SJhVk6P8NT9Lj6wgDAJRZom/pXZI/7uQ31rwAH2 45QXYVJUF/A9QRy3sAlu1D95nwNtIOSFQRAozGFSmJkF2K+djOXYPbf8hWeVx1/nXD816m9b BsxlaTmb2XC6i0IT0NNMTKdBEi4m4zrfbIsFr8+yCUIroEcHR9cm6H7dCt7IwSHnp1vt6+fH l+P+9dWWdPvZXthBqXvWwzTq0LCrS//ISj9xfaAn9vAQ4fNzf/NXIO0/P57lb4+f90cVGsOV yfXRktdJF5WchBVX82Ufs57BaGbBbaTC8ekVTBKOg0OEB/wjQUleok9pectUiBITRhKZeMBz CHuZ9IeIqzzwPOnQoVwc7jJdFGji7Qjs3w6fj7vj97Pj89vp8MTwaWkyZ28KglfRpcfDabu0 jSSSEAtj4Iw0EkEaFqdOncnPFYl/n1ltHKUkvoxRiJqsaroU7kxG+MBFVWjSdD2bTTY1yIxZ RU010yjB297DgP2IzIbUAx/kFrXaMh+K+jbLJOq3SSeOT/NjEw1k2c5TTVO3c0021HDz/vz3 LpKodk4iNCtSriacbnsd1VcUtx/JsLjBK0Vtgf3xhJEvQNZ9pWBdGJxrd3o77s/uvuzvvh6e HszkPmgx0jVVW2tdf2UZx/v4+vonU2ut8PKmQQe/sfm8pr/IY1HdMrW55cH+wJxl9fBIwdtt /0BP+9rnSY5Vw7DlzaIfqjR4TKA9v6g6MhC1DaMEuQ9wBpkJ8LkYgdOY/t4nHljgPCpvMV1C 5ljxmySpzAPYXKJ9dWK+//eoRZLH8FcFgzVPLAuXqKhiVvbAbN+yy9tsbiUoUA85IvXroOwv hWXs26McMG1stMqJsvImWilTmUouHArUSC+Q9dT+dYnZ6aEM2Dxwk+ZFM7wwDfsx6qIIbjAL NPtgU/gSIzS3aTv7KytOHQm/1tOcjYEdLOe3fLIni4TnFolAVFthe5ErBMxeqNwA8xlZfGBk PE7DMeZrByJDE6XkeHPu87jI7M5rFG9aiFB0jnXhaH2LV7LNqH1Sl4UD5Q0jEcqV7FhKGlC2 HbzNI4E5+ptPCLaOZIIgn8pOi0ZTAISS22WaIBEmu66Boso4WLOCPekhMIBH5EHn0R9MawNR CMYed8tPibFfDcQcEBcsJv2UiQDikoVrntk5KujJR1geExUFUi3SwpI+TCi+RF8FUFDjBMo8 DubRyvpB5p/4WFYJ016S3Jw2Iu1QZWHe4nURJXAIAb8iqsrMIYcHGRyBZjgDBaLsbbZ7BMBj ayAzYTuw5dQDhYC7YNmsHBwi0J8CH5pdpwnKQhTHVdeAWDU3LR8QA+ORCjJ7XUk7MIrOUGST R247S1nBfdEjlFZy/+fu7dsJU3WeDg9vz2+vZ4/qXW533O/gMv7v/t8G443x/jADT6aMqs89 RI26MoU0z0YTDa1AY5RgEjurqMCztk3EOiNGlNApWeYZjtSVYfGBiDIJur728zOHRQuCXGUE 0auX6ZBDqq8GXVfHB2tjwD+ad3BazO1fzBmdp7a3T5R+QvsHY2VXH5FJNsrNysRKKgk/FrFR JMYCwYgCwJhY6x32QL+hN3FtCN49dCkb9KgoFrFgwgPhN5Q31wo+WGMkGTPC08AllBjKw3pe HVCtdnJcpG29cpyGB6IIxNvOzPLcO2FF660wY+sSKJZl0TgwJWUCLwU8ysWwbGvYYr3nt+ZH PXbSfuTvWW+CvhwPT6evlMH4/nH/+uAb+BCruu60c4oNRINTx/AkWlNckG7eJhjk1HxjVJbu wIktU2BQ0+Ep97cgxccWHRovh6WiEkf6JQwUc7Tm1o2LpZVlE1PdYMZZx9PbAlOQEVsOyOYF ikuyqoCOD6WHH8KfDSaOqKU5E8HRHVRMh2/7n0+HRy0pvBLpnYIf/blQdWlFgweDbRK3kXRC Ag7YGthb/k4eSOKtqBYU44xe9zhnCJea17q6VJykW4oVTjZuDmpaN2+sDB/LeI7pgZOy4ey+ FnBjyg7Kzq2Ua2jgVcJFiXF87IjclRQxvaqLgNHPSmKwtFqFjU85vwPVKxAgyXIuS+oMs6QZ y9/BUPO6Ik9v/RFcFBREp80j7dgNx2/nRP21dr+O/2A5h28yEBAxQocd+sGsQdm/q/TavPT6 o6vQitirT5N4//nt4QFNW5Kn19Px7XH/dDKjkIhlQp6rFH/OBw5mNTLHqbk+/2vGUYEompji oI/DZ+oWo6OhVsAehdrdKoPrgEhTZtSUwwYRZBhNZGJ9DyW53nfmJUXn/BoWs1kX/uZ0OMOV Mq9FDiJanjTIIgjzwiScWZgihmOXi36mza4UzRxj3pryq4kkjtIj4T/8+y/qVbJo/FbGycaz yHJIivkfmM/A9UF0qOCk530dFFoClziBHrgqznCWG/vhe+R3FMn0hEdqkkwEwUgWTKxb06HV k9L0xDi8dHqhFy46f3nR31TB+v5he60oQuyiwnLqBoWZDCynSKSo0tt+G9s9QwWPyidZFnAx 19cfLm18Szc18In1+vrqnMUNYXyQ8/F6hRRKccD7rer+reFmoHZcYwa2EHIsye3HGEuICL0p hEkiaavAKI1we8L9g5Gs3PZqKuKS2nydoyFqUSXLgJxgfQSXQCv7PNp4sQR7C7Jiq9JcQEto xdQqq07kdWuZ46pSSMub/YcOe/twVU5w/rGK3u/eG5s2nxzKNZhOZPPkTSPz2jGZVsUhPpTq lr6FQTXnh2Cw/DAFja3pHcuDMeZCxCqCqoC7VziGcMNxrWi2N37BW06uG9SZDbp/mR8pyETw elWqOiJrvzqNCERMZEnRvPUHyJD/Z3Pn2WRoCO9euD2uilpissLNRrm6bCeSOtrk6rgZuNSZ ddrq9QhiWwoskF9njwnzecR2tbUV96GGfR9rlIRzuQ/7xK+ITdaVy0afiU79AUtv77NAyUnV tCZPNAlWQZrJotlFrVFPgPowV+jVrqq1QaFZSkub5JbC0RjXovCvxRGBVmeOakLdhQrrP7yZ 2HoLN8jSZ25wRcKeBx5tvNLj2Fa6Gu1YEBfp23iPh5SzSlYquLJWRQHRWfH88vruLH2++/r2 onjp1e7pwRSpBSbCwtgRltrNAqujflzTCkkKjbYZtVb4rNHigdHAjjA1mnWxaHzksAZRUCat o0lIdXBPSkFi3crzcSCrWOOVVgkbDLvFPuUMqr5t7F5AVLfCzGfEGxhrTkkNA2oYl8uRfxgb PZJRmw0FbIjEHfztRzMhts0Lqo6wotX0clCOVSBx3b+hmGXegqP+gY6bEN+msLY6gGDkL20u Yq4a90DCMVxLWXrPnPZNCddFVvrJzLB/Bofwj9eXwxNaAkPXH99O+7/28J/96e6XX375p/G8 ibHTqFyMTmN4x/eLvio2Zqi08Z4kRCW2qogcJiLUbCLAAQnf7fj818gb6YmKfS4g7zzlybdb helqEArJ3cohqLa1FRdBQamFzsGnwqKUHgBf5+rr2XsXTPqaWmM/uFh1X2nFHJH8PkVCikZF d+lVlMA1noqqA3m77Uu7cFeJpg4OuWI2YZykZDQXesKVNY/mZDjWgwYODg/UWivWzDCTHydj iheqo4VVAq+qr2NV11YkDRfToFe8/h97oO+DGnG4QxapdXvZ8C438+Fq7Zr3zah+HWGkgkI/ qDavpYzhvFDyDcMQKbbKt/qmU+yrkgHud6fdGTL/d2jf4Kkm0VaC4a4RPHGm1FMHDgUSTBze c7zHkB0EGRCZ86gg6czLsmedxoF+uLVGFYwV5o5M/ah+sAFYmUWdSXY+sQHYuWPQz7O9fDUU P6iBm+LgoQWPOBBhjO+Y6pAIWWxScQ7X5sXMqkCvIKtk+bEO3kPUWvKsdcOWjFmYrDHzpKSP mm2sGD2lRanCbYJkCL83XAfxZT+PbpvCODvJis94m/DumbwoVa8NBop4wkE/O42FXpcrnqZ/ X1g4+5JBdtukWeFbl8uZcmRxUiF3hC8wP0IuKq9Ujc5I2oJq0UzHIcGYg7ROkFJrb5xC0HLT fZeDgwTfEHTRDjLSVblI1ZrIvm7R5qpT0d9GIOUPInonoTkIjbAwVD4XbzY044IPkGx3vPI0 gIvZ48e+N7Z7EsMIrKJk9uvvKuOCFrvGO4eyqrOB/UYhj1IHJFrBLAfL37+uPnBnj3NbeAvc v018GqXC049nVhoRNJHW2kXimduS/ypQVjxfBj6gXCw3se2BpLnRdE7vqSEtKwYld3fzaIQC DUYzEEwgMXn9J4VWH57fXPHBTAwKyVkAD/i2f2/0Pw08D+gTjZ4sewOQkecoxUT0JPUp7b2p qzNLpruvxomeMuxTt1/OpPhFZs19Nm3zrcrPUVTW5A1w9T5Hm8w1xdZXgr2UzTfqZv96QgYK ZaUIs6HtHvZGxInWUmMo5bTWmLlgW1+nYPKG9l/n6bpVZ/G4C/CbPSuCr8EFerD/oR78jEMm 44lGimJB51+4PLNJuWxUHgOGjnsTVRFt/WYtRJIqHacjZjhf0E0ZOYb49HEm1rIP68EuJaJK ip6lYFsHFIvWygPo1u+/2Q1H4joqNp5ypxY5gPXxVlqq7cLyWsXfvb4QH1VEhbpgnqckWnwF rtqM/F3Yx2BFBbeJqKSy5Lk+/wsfFgYNRAX3GxqYNEo67Z0tRsl0HTf8I5VSLKDdcQ0nW5gk S3LUqPJh74jC/d7ExcnGdqaZjxwSnBpheaiao13aBN60gAufvaaRW5hM64QD/KwSJD9csq9X 1MuVvEGdOvuuTuxF8EuNV+FTuPOgp6oje8cQfA2IpuDU/4QeLMCdOiORc68QhDRMfUxw2wYC nhD2hl5pw3gMX74AHiNMUaE+gNTRYZqgdw5hk5gPd6LW+XpiE0CXi5LfpoTXGuMwAfH+eKRN 1FHyaQoVEl0AyFAFTmL+5EPD9znar/TWduHSFkmVgUQ+MZAqzDdv1w93QBq7918ldUIm7sZT pbEo5dZgIsaDyfQ6CO28KIsp2wBfBOqFgjKotu8PfKqmjTiniWFSIY6CkRPVFsyKiY1hvZhM nLEyiwTs1/D+J1eMxO8DfInw0IcUVwYvZVMIIUTZemWRXKQnuldFhwQIdFmAut1x1SCWF5tk vLxwNsqC8H8u31YvFzoCAA== --OXfL5xGRrasGEqWY Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ iommu mailing list iommu@lists.linux-foundation.org https://lists.linuxfoundation.org/mailman/listinfo/iommu --OXfL5xGRrasGEqWY-- From mboxrd@z Thu Jan 1 00:00:00 1970 Received: from mga07.intel.com (mga07.intel.com [134.134.136.100]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by smtp.subspace.kernel.org (Postfix) with ESMTPS id BF1433FC2 for ; Sat, 28 Aug 2021 22:33:45 +0000 (UTC) X-IronPort-AV: E=McAfee;i="6200,9189,10090"; a="281839910" X-IronPort-AV: E=Sophos;i="5.84,360,1620716400"; d="gz'50?scan'50,208,50";a="281839910" Received: from orsmga007.jf.intel.com ([10.7.209.58]) by orsmga105.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 28 Aug 2021 15:33:44 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,360,1620716400"; d="gz'50?scan'50,208,50";a="465772905" Received: from lkp-server01.sh.intel.com (HELO 4fbc2b3ce5aa) ([10.239.97.150]) by orsmga007.jf.intel.com with ESMTP; 28 Aug 2021 15:33:41 -0700 Received: from kbuild by 4fbc2b3ce5aa with local (Exim 4.92) (envelope-from ) id 1mK6tO-0003nW-Pg; Sat, 28 Aug 2021 22:33:38 +0000 Date: Sun, 29 Aug 2021 06:33:09 +0800 From: kernel test robot To: Sven Peter , iommu@lists.linux-foundation.org Cc: llvm@lists.linux.dev, kbuild-all@lists.01.org, Sven Peter , Joerg Roedel , Will Deacon , Robin Murphy , Arnd Bergmann , Mohamed Mediouni , Alexander Graf , Hector Martin , Alyssa Rosenzweig Subject: Re: [PATCH v2 4/8] iommu/dma: Support granule > PAGE_SIZE in dma_map_sg Message-ID: <202108290618.OUo2tHmn-lkp@intel.com> References: <20210828153642.19396-5-sven@svenpeter.dev> Precedence: bulk X-Mailing-List: llvm@lists.linux.dev List-Id: List-Subscribe: List-Unsubscribe: MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="OXfL5xGRrasGEqWY" Content-Disposition: inline In-Reply-To: <20210828153642.19396-5-sven@svenpeter.dev> User-Agent: Mutt/1.10.1 (2018-07-13) --OXfL5xGRrasGEqWY Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Sven, I love your patch! Perhaps something to improve: [auto build test WARNING on iommu/next] [also build test WARNING on v5.14-rc7 next-20210827] [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/Sven-Peter/Support-IOMMU-page-sizes-larger-than-the-CPU-page-size/20210828-233909 base: https://git.kernel.org/pub/scm/linux/kernel/git/joro/iommu.git next config: x86_64-randconfig-r004-20210827 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project 4e1a164d7bd53653f79decc121afe784d2fde0a7) 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 # https://github.com/0day-ci/linux/commit/fa978f84667cfd7d8cb467899da60c08321798a5 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Sven-Peter/Support-IOMMU-page-sizes-larger-than-the-CPU-page-size/20210828-233909 git checkout fa978f84667cfd7d8cb467899da60c08321798a5 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=x86_64 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): drivers/iommu/dma-iommu.c:935:18: error: implicit declaration of function 'phys_to_page' [-Werror,-Wimplicit-function-declaration] sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_length, ^ >> drivers/iommu/dma-iommu.c:935:18: warning: incompatible integer to pointer conversion passing 'int' to parameter of type 'struct page *' [-Wint-conversion] sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_length, ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ drivers/iommu/dma-iommu.c:982:9: error: implicit declaration of function 'phys_to_page' [-Werror,-Wimplicit-function-declaration] phys_to_page(sg_phys(s) + sg_dma_address(s)), ^ drivers/iommu/dma-iommu.c:982:9: warning: incompatible integer to pointer conversion passing 'int' to parameter of type 'struct page *' [-Wint-conversion] phys_to_page(sg_phys(s) + sg_dma_address(s)), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ drivers/iommu/dma-iommu.c:1068:18: error: implicit declaration of function 'phys_to_page' [-Werror,-Wimplicit-function-declaration] sg_set_page(s, phys_to_page(s_phys - s_iova_off), ^ drivers/iommu/dma-iommu.c:1068:18: warning: incompatible integer to pointer conversion passing 'int' to parameter of type 'struct page *' [-Wint-conversion] sg_set_page(s, phys_to_page(s_phys - s_iova_off), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ 3 warnings and 3 errors generated. vim +935 drivers/iommu/dma-iommu.c 913 914 /* 915 * Prepare a successfully-mapped scatterlist to give back to the caller. 916 * 917 * At this point the segments are already laid out by iommu_dma_map_sg() to 918 * avoid individually crossing any boundaries, so we merely need to check a 919 * segment's start address to avoid concatenating across one. 920 */ 921 static int __finalise_sg(struct device *dev, struct scatterlist *sg, int nents, 922 dma_addr_t dma_addr) 923 { 924 struct scatterlist *s, *cur = sg; 925 unsigned long seg_mask = dma_get_seg_boundary(dev); 926 unsigned int cur_len = 0, max_len = dma_get_max_seg_size(dev); 927 int i, count = 0; 928 929 for_each_sg(sg, s, nents, i) { 930 /* Restore this segment's original unaligned fields first */ 931 unsigned int s_iova_off = sg_dma_address(s); 932 unsigned int s_length = sg_dma_len(s); 933 unsigned int s_iova_len = s->length; 934 > 935 sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_length, 936 s_iova_off & ~PAGE_MASK); 937 sg_dma_address(s) = DMA_MAPPING_ERROR; 938 sg_dma_len(s) = 0; 939 940 /* 941 * Now fill in the real DMA data. If... 942 * - there is a valid output segment to append to 943 * - and this segment starts on an IOVA page boundary 944 * - but doesn't fall at a segment boundary 945 * - and wouldn't make the resulting output segment too long 946 */ 947 if (cur_len && !s_iova_off && (dma_addr & seg_mask) && 948 (max_len - cur_len >= s_length)) { 949 /* ...then concatenate it with the previous one */ 950 cur_len += s_length; 951 } else { 952 /* Otherwise start the next output segment */ 953 if (i > 0) 954 cur = sg_next(cur); 955 cur_len = s_length; 956 count++; 957 958 sg_dma_address(cur) = dma_addr + s_iova_off; 959 } 960 961 sg_dma_len(cur) = cur_len; 962 dma_addr += s_iova_len; 963 964 if (s_length + s_iova_off < s_iova_len) 965 cur_len = 0; 966 } 967 return count; 968 } 969 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --OXfL5xGRrasGEqWY Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICHiBKmEAAy5jb25maWcAjDzLdtw2svt8RR9nk1kk1suK596jBUiC3XCTBA2A/dCGpy21 PLqjh6clZey/v1UASAIg2E4Wjrqq8K43Cvz1l19n5O31+XH3en+ze3j4Mfu6f9ofdq/729nd /cP+f2cZn1VczWjG1B9AXNw/vX1///3jZXt5Mfvwx+nFHye/H24uZ8v94Wn/MEufn+7uv75B B/fPT7/8+kvKq5zN2zRtV1RIxqtW0Y26enfzsHv6Ovtrf3gBuhn28sfJ7Lev96//8/49/Pt4 fzg8H94/PPz12H47PP/f/uZ1drE/3Z1eXtz++eX2w/nlh/O7P/95u7+5OT073d3t//x4cXt2 d7s/2f35j3fdqPNh2KsTZypMtmlBqvnVjx6IP3va04sT+K/DEYkN5lUzkAOooz07/3By1sGL bDwewKB5UWRD88Kh88eCyaWkagtWLZ3JDcBWKqJY6uEWMBsiy3bOFZ9EtLxRdaMGvOK8kK1s 6poL1QpaiGhbVsGwdISqeFsLnrOCtnnVEqXc1rySSjSp4kIOUCY+t2sunGUlDSsyxUraKpJA RxIm4sxvISiBratyDv8AicSmwFG/zuaaQx9mL/vXt28DjyWCL2nVAovJsnYGrphqabVqiYCd ZyVTV+dn0Es/27LGZSgq1ez+Zfb0/Iod90fFU1J0Z/XuXQzcksbdeL2sVpJCOfQLsqLtkoqK Fu38mjnTczEJYM7iqOK6JHHM5nqqBZ9CXMQR11I5TOrPtt8vd6rufoUEOOFj+M318db8OPri GBoXEjnLjOakKZTmCOdsOvCCS1WRkl69++3p+Wk/qBG5Jt4WyK1csTqNzqDmkm3a8nNDGxol WBOVLtppfCq4lG1JSy62KFgkXUSW0khasMSdFGlAQUco9QETAWNqCpg7cG7RiRJI5ezl7cvL j5fX/eMgSnNaUcFSLbQg54mjAFyUXPB1HMOqTzRVKDMOp4kMUKBz1qBuJK2yeNN04YoHQjJe Elb5MMnKGFG7YFTgarc+tpSsZbwsm/iYJVECjg02BuQa9FacCmctVgSX1ZY8o/4QORcpzaze Yq5xkTURkiJRvN+MJs08l/o090+3s+e74FwGK8XTpeQNDGT4KOPOMPqQXRLN5z9ijVekYBlR tC2IVG26TYvICWvVvBoYJkDr/uiKVkoeRaJeJlkKAx0nK+H0SPapidKVXLZNjVMOVJeRt7Ru 9HSF1IYiMDR/h0YvdtmgrUBL0MmHun8EFyUmImCFl2BrKMiAM2Gwi4trtCmlZv1eOgFYw0p4 xtKIjJpWLNOn0LfR0KiOWLD5ArnRrsensRw0mnlvn+o82EMKoPaTyyualdakUr1yHEj0vsDP 2KYg1cAw/Xxt48jKEdNUtWCrfiSe52HbGtwT4KHoOv2ZOIpYUFrWCnaxiivajmDFi6ZSRGwj 07M0DivZRimHNiOwp+860mwLRkW7bHrngA3fq93Lv2evcECzHSzi5XX3+jLb3dw8vz293j99 DXgM+ZakekCjVfoVrBh4bj4aJSayDtQymsO9jrodlhkq+ZSC3QG8msa0q3N3fBQj9EdlfH8l ix7Y39gAvVEibWYyInewrS3gxhvtAeFHSzcgc85ypEehOwpAuCDd1CqeCGoEajIagytBUjqe E+xXUQwKwsFUFKyHpPM0KZirAxGXkwr896vLizGwLSjJr85cRMJ52IEGgYgVZHv1YQg39Lg8 TZCLJhfQake8TFz75B+O7/omrDpzdo4tzR9jiOYtF7yAgagbNBQcOwWdsmC5ujo7GY6cVQqC IZLTgOb03FNtDYQiJrhIF7C92t50kihv/rW/fXvYH2Z3+93r22H/osF2hRGspx1t5AShUFOS NiEQQKaeWA06NEFTDaM3VUnqVhVJmxeNXIyCKljT6dnHoId+nBCbzgVvaukKJHiN6TwqjEmx tA3iTqdGmU06RlCzLC7sFi+yCaff4nOQuWsqjpEsmjmFLTpGktEVSye8Z0MB7Iz66uhSqMiP 4dGuHEGXTMYDgH6O4NPFTD0EGOAPgkodTrJBLnJ+a03tAsDbFwYwaFeWASQ2AFVeWzjSdFlz 4B70GMC39XwMIxYYwE4zBxj0XMKCQM+Cc0xjkZXQimWwG8BtcEjaARWOm69/kxJ6M36oE4SJ LIiLARCEwwCxUXA/NQBNxJGamMemmvkBMPy2ce8gLJyjhce/Ix2AsHIw9SW7pujza0biogTx 93Y2JJPwRyy/kLVc1AtSgaoQjkVAL0oV4W8waSnVfoZRz6EznMp6CTMqiMIpDdjQEpbgaDHk KmcAELsS/eKRw2/OfwTOYdKZGzcYN9u4pK51RlUd/m6rkrkpE0dv0iKHzRdux1PLSgiEVXnj zapRdBP8BGFxuq+5tzg2r0iRZ770CReg4xMXIBegaL3Ym8WzFYy3DSw3xkUkWzGYvN1VZ7+g 64QIwdyzWSLJtpRjSOsdSQ/VG4NCqdjK40o8c+1m5zEx1gYHLdEwCZhhlQbnsUxLLx8Cwe3n 6PqhF5plUY1h+BUm04YhpAbCPNtVqeNxT+ulpyde5kdbbJt6rveHu+fD4+7pZj+jf+2fwKck YMtT9CohFBpcyOiwWmHHB7cewd8cxvHPSzOKiRaCQK1TE7ysCbgIOhYdVG5B4hZQFk0S6UUW PHH4E1rDEYo57YIql3ebPAd/qCaAdfMdTlyEed0412qlo42Jl63wE7Id8eVF4saUG31l4P12 LYNJGaNmy2jKM5f9Teq61VpWXb3bP9xdXvz+/ePl75cXbkJ2CSaqc5ecBSuSLo0vO8J5+SDN /CV6aKJCJ9akJK7OPh4jIBtMJkcJupPtOproxyOD7k4vw+SHpx0dYC/grT4RT+v2iRNSsERg pifzTXQv6hg/YkebCA74ALpt6znwhLNtWnYlVcaLMhEoxAhOFgRDmQ6llQB0JTDTtGjciw2P TnNklMzMhyVUVCb5BpZGssS1PdZVljWFLZ1Aa19cbwwpOjfTIcHsqCaccsAbnQl1NjkHc0eJ KLYpJgSpY5jquYk6CpB/UO4fAkdfkooaxsSNpamRQK3L6sPzzf7l5fkwe/3xzYTHXnTScXVZ R8QTRSynRDWCGkfTlWtEbs5IHc1AIbKsdZ7SbTPnRZYzuYi7WFSBLWUT6RXs0fAWOC6imKSh GwVnhnxgzfskJfJ40Ra1jIcgSELKoZ9ImNCbZZlDPMvclXawSccdu+9Zwabnc8KKJuZQ8xJ4 KQdXt5fNmAncAuuDFwDO4byhbsQO50AwuTOGmOn5SnWxQjEvEmCndtUxU4enXhoSfrb1KrY6 jVisSq+pAYWzQ4REFRCJJxBnLGk+cUqm18gUluORTEa7bjAzCoJTKOu7DbZqFWfNfruCpFcs xdeRdrkBC/8EZ7vg6AqEk0pF1cOG0Hv5MTqTspYxeSvRozrzOgA7HOf9XpfXzQRfag6rwGgC IwD/2VTIpUtSnE7jjGCha5jyeuszF25ADVrKxJGyKX10fdlWvPZhSqY+ANzFTbqYB8Yfk/or HwJmkpVNqfVGTkpWbJ2UFxJo1oI4qJQOjzNyfqbVXutFTEi/KjfTCtFmNjE2owVNY+lpnAgI vdkhJ6a2YFA3Y+BiO3dTex04BUeQNGKMuF4QvnGvtxY1NYzruWVZyeLcQYB39dVWLBmgTats BanAuCZ0DuOcxpF4HzdCde5jiBgAsIAC3Qv/rklzHF6Rt2hvfDgERRboqW5BBfh5Jla2N/k6 DscrwymD5QbAFoDZwILOSbodofpT9MZFBJzj9BD6Rk8ueJHFmpqLzlFI4gYJj89P96/PBy+z 74QgnfhVQdA7ohCk9pXfiCLFbHzM4rmk2kbyteUu68FPzNdf7+llEr3E0ZJmI1lw95qC2JsQ 33zzusB/qG/iOyH+6OjekqUgm94Naw8KZXFAGGkcFGqP4FiCgyoyJ1F/QJ+lFOGEteGZIP+g PTufxTImgBXaeYKerAx0XU1M6Y5ULPW0EB4HuBMgf6nY1rHtNV6o9s0MIYm4vj16FPEZvNZw nd+Cl9fO5FmBElN0rgreDjf06uT77X53e+L8529PjaMZUZt2ANFoQGzDJaYQRKNTVzFzqISj GfEX+shMsWs6Cbcb0S/4ZIIMtwZ9Fa28BoXmr4VMbjxox4wHVk+WJLB5TckCiJFIu+HWzcfY ZUm3Mkap5EafS3j/GaOofuIj95SY2J2klfNNPGuTxy3N4ro9PTmZQp19mESd+6287k4cu3d9 depx2ZJuaMx50nAMTkMpwNjKIOtGzDGxsXW30qAki1+RpILIRZs10ciqXmwlQ3sGQgx++cn3 UysSfSykMylWMocQSTMPpoAxI3esX4jT5xX0e+Z1a++OOzaCCJ67NXxG+kLd680gJNnwqojL a0g5eXGelhlGfWiei5gs84zlMNdMjXPGOnNQsBWt8UrMM0BH4t7RGZMsawMla5Iqixq3ClMr JiLHTev1pTHMz//dH2Zg6HZf94/7p1c9EklrNnv+hiWrfpRtEgox5rXZCNqHXp5Sd5IVsUMv W1lQ6igMgKCojqFrsqS6bicOtfWMp67UePh5TH5qL3ldl5MxL6DSwktMrj8b3wGURM5SRocK kUnD1cXMuMluFBX+6hhQCxGsjPNlU4cHzOYLZUvasEmdpUEnwHIK7JKZpHaHpJP3G6wu0upl z6OxuemrTkU7kmmNyussumK9jtorpUGQoKuWr6gQLKNuesrvFJSTLQWb6pqEy02IAou9DaGN Um4MooErGJsHsJxUo1mosNDG2zLgqqnJ6ahNUOAQKYNxhlDLuKiTaObdKPnI0UyHZmQ+BwOP Cn9qcmoBficpgr7TRkLU3WYSlJW2J8OF5KBszKagq9HUc0GycIIhLsJk0xtapwyz9/GrajNH DoEj6NvJpS24qosGU1hhXGW4OIlnYkzbift+d3dKqhb8CJmgWYOVj1jguUZfa9LEaHL4a7pO VTN5TVlgMnq4vTf0e0TEEZatVfwm38jcRkHIeHT34e+JZFaNtpnXwHpxRW/ljgeRMajVLrzv SsJm+WH/n7f9082P2cvN7sHEioPFtZI1VU8Vad13zG4f9s47DOgprDPsYO2cr8DFyLIoq3lU JdWvIeJdKBr3OT2iLpsX5QSD6jJ/rpvQr8jJ3GqXFwmj2/Nzg28KGt9eOsDsNxDK2f715o9/ OAE7yKkJ8DzbCdCyND9i9hPQQQYWQWmVnJ3APnxumFhGt4pJAko8znSIy0qCSZQYy0E4WSU+ v+EFvle9NbFYsxH3T7vDjxl9fHvYjRwinWrrI/zJyGJzfhY9i3HfuvP8/vD4391hP8sO93+Z m9ohGMli7lfORKlVjfH2vES+TLHWO8ljSiZft2luKxqcexwH2nm3zlUa5/OC9kOOEJi20Zkq 5cflFo01WbyS/Ciq72REs6qzTk2o/dfDbnbXbdat3iy3ZG2CoEOPttlTsUs3948J8QZCkmvi 17SiOVxtPpyeeSC5IKdtxULY2YfLEKpq0sjeF++ujXeHm3/dv+5v0Nv//Xb/DeaLgjo45F6E FtQi6JjOh3UJc/BOgwDQ3OBF+fYTBH6g/RIaU0nm1ZX29TGVkivvRsAUUfcOcVPpYA7rqlL0 TwIfFjPqWCipWNUm9mmJ2xGDtWAEE7lzXYY3kAaKF3ExBK/jcNsNxkh5rIwobyqTqwCHFX2y 2FsOIPNKeIZnJrrHBXjvARJ1FvoybN7wJnJVLWH/tXkwLygioX0OTjyGlrZ4bEwgaZfimkDa FF052nQzc/PkzFQitOsFA8PCRvdReI0s+8hcPyUwLaJ0FTe1DeF4ssRA2b4gCw8IHAoQtCoz d8SWjVDhh3SSfp46O3ztNtlwsW4TWKupCwxwJdsA6w5oqacTEOmKROC7RlSwRDgVr14pLO6J sAo6ixii6lJJcwWuW8Q6iYzf1ekIu0WYtokd6SDVx7FusZQlK8umhZAC4gbr4WPxahSNNdIx Est6RlRMsbK9CgsmY6HmymQCl/HGMy/DKiRNsYjkCMoWcgwUoyYjwiEHYjHm9nAqU+AMiedR APME8xmVOwwjeJif5hEKxcPXuxMEINDuvRrCMakV26g1Q1rLTPriPuQ4VF0QLGj1tvQKvaNo TOPq3gK6iTcboQ049l7DSClHKWiyKLgMwZ1irnQyHGwUlr9gBu3v0kWGMtwNeKyVCxM1utZG I2Ey6AyIOOvyXCtltR2tI+suNmgK2sXJewCqwQQR2lGsFUXJjWwf3TCFFk4/FowcBA6NOCDh 6yok6a2GHqHL4saW4BWEhT4BziFqzvxWQ43ZICrdG72x3YUFM/OmoS9tGyhs5ODrfFtjdn6W MHOzHFsInmK4DTHY0GLIbi/NlJHnqfvyJE4wcUeljbQCV0B173jF2qlKO4IKmxsWiTaPoYYV 4UMziHBsNt+3zGit3HrO0K+zdbPdRd5Y/XUe5DRm9Nre2LrRQ7KRpE1VkfuK0Za4gjh3ta0R bkdX2jJM76enfPX7l93L/nb2b1MD++3wfHf/4N1oI5E9nEjHGtt9MSB4HRjioqHjsTl4u4Xf fMB0GKuiJao/iTV6zgVOwdJx1wzoomqJdcHOXaNRRu5yLIfp58Dt+NmiT9VUxyg69/BYD1Kk /XcIwr0LKKM5CovEExfoLFoLGTbu8fhK49goPeHEw4yQLHyrHxIiq67xuY1EU9k/n2lZqZk6 viId4OCt7uLq3fuXL/dP7x+fb4FhvuzfDQOAQijhAMCOZKCftuVEX9rY6MeC4ZVE4leM4asX nXwQ9LNfMta9h0nkPAo0T/kDOOa15oKp6Lsai2rV6Yl7WB3BNRxifFf1QzB7gadrBmIOFxKt k2ABAGjLz+FkTKlfOAfcUl6TWCiNaKPmOk3pWbgous3tJVunkerd4fUeJXamfnzbu6X9BEJE E/9kK3yS45WEEFBu1UATz/qyTZzC4rFOtMc7mq5kc+Ihhh4VEewno5Yk/RmFzLj8CU2RlT+h kPOJmVg8WGXhboBjP5sqBl4SUU6sm+Y/WzV+SOPy40+IHG6NUXVp3oAjXH4qP2Pa1ecxgKEr zrgP1lej5ssYfHgC6jAYtGPcFPlm4Nb55tpBLreJG3B14CT/7Folf5AhUVadDk2bysqDrCFC QYMxclSHO1bFMSkhynVAgc6y/uZIprsJrpRDErGOEZjv/lT6IrMgdY36mGSZ1uJaJ8ccsu71 UJvQHP+HMbv/7QyH1hQerAV07m6efTXanQz9vr95e919edjrL1TNdOHaq3NGCavyUqEzM/Rh PRvXJ4bZYNqg//AAuvqjF8i2L5kKVnupf4sI34E6vducRH/YU/PWiyr3j8+HH7NyuKcYpT+P 1nANBWAlqRoSw8SIIWQV1I0HBtTKVlKE9WYjijADhZ8Umbt20s6YSV6E+WQ8e1vHZansbabn gniYWHq2LiCwqZV20XV96kVsBEuG9Y/KlyI7QoLOhq/ELMh4xOmE1hyQQ5c6ahYU5dKL3sFO iCO70AfcEbpUZ0/bwHnHEiIth60Kn1yZEniOAaGfuHJSdkNyXMbqMjvh0KxgPtGSiauLk39e erOffhnh7/AIvljXHBijsllmd0KxPMRUdsgkW9Wibv2MuvfCaOmIQFpQcA8wp+XqGdhgv33q fnULfoTvL3qQe5+EwOCKCUH4Rkpe/enxtZMBiRq/a5xOZNHXNeeOjF8njefoXJ/nvIg7gNfS vGyMdNrfm+Cbpu4ewu1Wp+c1d3Zprqnz0C/LdMbQmC4vedJT1PpdWiR9hEj0YfWlgZdS6KBj yLn75bQS9CDD24sgl1HnodyBQZLmgzpA0OYFmcfsXm3LNt3ia13AH37+pNvKpm7V+C1Lt2id 1XKVdGntqeYEsEJF7VmhJc49yA5Lmgqq/p+zZ1tu3Eb2/XyFah9O7VbtVCzqYulhHsCLJIx5 M0FJ9LywHFtJXHFsl+3ZZP9+uwGQBMCGtOekaiaj7gZA3BqNvqGLRNZnjP8YGXZEf6/PT59/ vr7/Dlfo8WED/OwmsW3dEgJfyKhZBynF0KjgLzgzLT8zCXNLD5s99cQLbapMCg0kFpMdwMzQ JWNgBpheipwgntu946UKisc8VbTZveyvFK2MVKAuTkBU5mb2Mvm7jXdR6TSGYDT40ndpTVCx isZjv3npuYgr5BbFmyTbN8RnKoq23ue5HRAB4hqcMsUN9xhJVcFDTbvbIHZT7M/hhmY9zg1I x+igLomD278fyUs8iT2zPXTXBOKCdEB1VHZgu/p9XPoXsKSo2PECBWJhXkRdFfSyxdbhn9t+ tRHd6WmifWgqBLvDusN//dvDj5+fHv5m157FC1oVBDO7tJfpYanXOiohaS8qSaQyXWBsQxt7 1FnY++W5qV2endslMbn2N2S8XPqxzpo1UYLXo14DrF1W1NhLdB6D2N9ixF19Vyaj0mqlnflU 5DRlqhOfenaCJJSj78eLZLts0+Ol9iTZLmN0xho1zWV6viKYg5F3xCDJlLCwfMUw0R6eVhnz eDt1NCDJSusEHKpZ6QgXJrEyUtLqrfIMEnhPHHm+k2P2Iw83rjxJj2pfElBW05GcaeBpIax4 vKXnWTINQWdVOqQsb1dXwZROvxEnEZSmvySN6OytrGYpPUtNsKCrYiWdq6LcFb7ml2lxLBmt 7+FJkmCfFnSKVxwPf56qOKLSY8Q5OjHA9fMAV54/zMtdDbdl5LRkZUWZ5Adx5HVEc60DIV5Y +wUTNnuPg6z0nIEqgxPd5E74BSH1pSBPeynSGQiaAtm5j+q2qv0N5JGb0q+73aicV0hTVp5c OAZNlDIhyNA6eYY2eF+9a+08PeFt6oitk8/Tx6fjKCu/4KZ2kiDae6kq4Agscu74GvQi9Kh6 B2GKy8bEsKxisa/vnqUeety+NzAIlY+3bDD/DjF2R14lqXI3GxrebHErTU1yNV4d4uV0evyY fL5Ofj5BP1E59YiKqQkcFpLA0HxqCN558CKzw3Ql6mZnRJ9UmxtOevXi2K+tmzn+HpSw1iQB ojkzh2siv5ox2NyTuS0pd3AdpZlVvvHkcxZwFrmuxaY0vKFx1FnacSPMcGJrHrYYYJ9YeaDk jkZ9VmYajZQvhnX3R5VKoRibhiT1DrO7dyyo2zfx6V9PD6aTbb900VWBC+NOPf4FZ02Imzuz lFkSgy7NVAHlQwoCpOnHKFE54V9jaejdHzq7s30Dj7jUrvn8pBHPREmfxIiEm7gXiQmjialD jPTadr/EH0KF8R313vTIxgwYEUcznVQ4WYmwkZxZ2bBwcCOW2RDUXuJe1+EJ7sfwgubuiIM5 9HxmyYApO+1ozzl73NC/BFa3DFX1j2445A84T4SOcecpjBR79Ld3ZEkV4F/G0tKxMWpBDdx6 AMsgDfqsNYgi9JIfN22SiF3ZJ/lF6ofXl8/312fMIProbjmk39Tw99QMgEUoJqEfpYftEUNa Wr2jP55+fTmiTze2GL3CP8SPt7fX90/TL/wcmTI+vP4MH/j0jOiTt5ozVOpMuX88Yf4AiR56 jzmou7rMGYtYnOSm0ciEyu56UJjg5wxqXLT9dh1MEwLUkQ7hJRe70Nsb6RnuZz95eXx7fXr5 NKUTuZfzWHrV0kZMs2Bf1cefT58Pv11cT+KoJcA6sdLWna/COB6b1I056WuPWGVxhizizP0t fV3aiJtabyimbA+6M18e7t8fJz+/Pz3+auezusPsKDQTiJfXwZq+KayCqzV9jalYyR1pbAg5 eHrQh+CkcNWebN/wlDO0BZk2k73y+1J6WQ9Yu5sYz0oc6qy0fSM6GAige3cNaBKQrvKYpU7w dTcYlWqxj3+RGZe78e0DPJ5fYR2/D73aHOXkWDbVDiRFihgzKBuHdFNXbIh4Gfo0lJK+1+54 kGjTeWNE17kBmYOE4TgoHpFbxO1jL/2qZPUH0/Lazan0IKJxDtSYKHRsiSt+8OgSNEFyqDz6 G0WANgBdDdxA0TuXmtWsvS2E/frAoGTAGpi0o+t6pHMTJVdqtPOOQSdiDlmkZKy551kPRB/2 KSbJC2En1NwU1Kpka9lq1O+Wm+m+NUyY/qcadpyOQFlmemB09ZkPZQz1teyQGXKQNA2hY7Fc vBtzHSJqIw+EzjvW9gMcM4A+BvBRCsmmw0fR1KYBSnC8D+Cc2VbVHdeA4YKvQF7RsMMj8x4O ditIr/sag0sXcKvw+MlvczPYCH+1sA0tO5MEZpg6nUIIXm1ozD5sRojMzpoMP+WSEyOmO/jm vN2/f9juNDX6eV9L5x7h1mZ6/nh8IIGq2IwJDDSsDxmd17VAoFRUkHQAkG4BX6Z2C1YVMrxL ugd7VFDjEuj/PY6JHjkudYMjx2wP/wSJCz2DVH7Z+v3+5UOFTU7S+3+PRjFMb4AbOT10PBQ3 Zn60fPSrrQy3IW7jq01sFxdiE1vB5iJDAv80FaVvimyTO0J6Xy/Y3Epj1Z1xFct+qorsp83z /QcINL89vY2lIbl2Ntyu8lsSJ5HD9BC+xevYGAzlUS8oLRtFPl6agM4Lj3G+IwjhfL5Da6/z flSHTw38mWq2SZEltRnThhhkiiHLb9ojj+tdO3UbcPCBpwGHbH62kdWFRqbL/66VWUANB5+e GQQejOeHz8lqVp5q4K5G1IHR4/gi4Xj2s9h6D62Dg4DGxtB9zVOHu7DM/bzKk+FRcsFQJJ5r wZk1r65v929vqJXUQKm/k1T3D5hTx9kYBZ5fTedx4DAMdCbKRrtRAYeoAALX5UVa2XmRTJI0 yb+SCFwZcmF8Dewx6QgKWs1gkmxLzCsYx9S5KHlMGLXbprE/Hqb4etlUxWiieLRrnMkysIkI A6JQdLO6mp8pJqIwQAcTsXNL5kn9eXr2FEvn86ut8+GWfkwB9JXMHhx1MWN5kd/BjcPHf1UG hUMFHK1yqoX7dLeOOy3AhcWmnlY5Pf/yBW+b908vp8cJVKVFGZpZl1m0WEydpiUM81xvuNt7 hepcsawux6xmcox9nCjalcHsJlgsR7wMMPNVupxTycrk/Ik6WDibXKSVqZtTK3IEgj8uDH63 dVFjRjHUoJsOdRoLErjQnlPTIUCsP9UDJX4pPdDTx+9fipcvEc6DT80rR6eItrPhO0JMr4uv dbbZ1+l8DK2/zoeJvzynyjoD11e7UYQ4EfqSHecJYtxp0GB8HxVjvY8VJzNamqSm8EygfU42 Jk3QoBCwhXH3iZHs2OrPVXLI/Z8/gcB2//wMGxcRk18Udx6URsQoxAnmBhht/wHV0npGlyqu yToinya1p8gaTts5egpkpOe+YPwKh9G8o9HrMQzWsp1qqkfprN7bbHRtyJ4+HuwxBBHTVY32 9eBf1qOQPQaWRrEj4DEXN0VuPzdJIJV0aMaT/Be00ivePu1oUvQ8PF9lGNZyE7ijhzdiufDc cUuiCPbsr7BLx5rXvgEgIpoFKOoRdyzLnLfmPCQwJRfWk6YPXRt65xRPfGxvcEVWIruUlniy /6/6fzCBc23yh/J0fBynjJGHZumIAn2ll6v6H3eQ3VNRA2XExFy6tthPHZs04og+Y8JNIuch wWjkg/SS95gc3XI3SUJdHZBEbSylhxkuaSbCw2wcGnK/70M+ArTH1MiV7JxokiBMQp2xMLhy cRg2MJI8EbFN90k44pmyutTJRmdRyPT6tEI7ro3FX1jpVgt8j5LXntegAQvCRV1baR4AqDym SdRNEX6zAKMwXoB1DMOEWVow+J2bWqhio1+jTWL75QmFQE8XC6Zidty0KEY6xVLGn9nPo/gA bWk/yqOhSj9E6Tf7Yu2GbwqqPgwgwPdRqXrx06Qge6Zq1qxW1+vluGoQneZjaF7oTnRw02lX euxK7W0Gc6LTjHaPc3y+Prw+m5aXvLRTWeoQTLMjXVRmvk9T/EHbORgmh6TdRHR5NHUJgeIk L2dBQ2fv7YjTovD4mmmCuAr9IaLycy/gRUM/edDhHWFqUGHGcEdCN50oPnjSCtZMrlj0ZCAm HS3oSt1lWtAHR7UBjWYHJ4Hr4L0lPU+889H34sIoVMKeCCUEH7LEMKHqIgh1BOF+rA+Z/fYv kio3UVbTrmCSZHfMyIgkidywsFLZxi1oNGrIcd60UKza2p7yBhhdBgSwfI/Lt0HorkaChPqu DuNdzCbZyAW1EyPMyegly7Gmn8WLYNG0cWn6qxhA285hIixjR7zPsjvNvQdTZZhhziePnyTL a1JrUPNN5iwYCbpuGuO2DFO8ngVifmXAQA5PC4HPXuAhwa3nJndly1MzE2wZi/XqKmCppebk Ig3WV1cz4rsUKjBcF0SSiwJf1gbMYkEgwt30+pqAy8bXV2Y2jixazhaGui8W0+XK+H3Qps8+ WE/D8fSFnoLEWc4Gx5iuPesCHh/bBjUFkqUanN8w0I8McWgYzptWxBsyKTkGgrZVLRqzTBTg cTOW0JMS1UQfho9FN28SAwwwmBNtDNiF2YoGj3Px2/iMNcvV9cJYJAq+nkXNkoA2zXxJNMPj ul2td2UiPOnjFVmSTK+u5uSGdLpvDFd4Pb2SC340ZPXpr/uPCX/5+Hz/8Yd8dO/jt/v30+Pk E+0iWM/kGS8Rj7C1n97wn+aw1qi2Jb/l/1GvIU3rRZxyMUPuQIw9Q290+fZDaYWeqMcBOAFq zXDcAVo3JHgXR+Voaxwy291pm+THW0qLkkQ7S+SSi5ilESZjoxUR3Sq3VZA7FrKctcwA4QO8 5tY6lCy3dTQaJG3ANGPUBM6nDKpIk40rvSN6KGut1OjuK3NzZIVxg68Yj1uU2Q3uiFT2Lx1u OMw6wjD3tPPG1fAFummVyv7vsHR+/+fk8/7t9M9JFH+Bpf8Pc2324hTlEB3tKoW0Y8+7ImSi 3q6IGabawaLdqCf9UUG7oyBJhNpAjLClbotIkBbbraMwkHARoXs9Oi/QA1V3m+zDmSZp7tcT Y1e5iRTC/7UqA+yIyKoeE5mO513CUx7C/8ZdkUWoO0iPli56wnYkUciqpD66U6w6I+GM7LF7 asY4mRFDC20KJ43PXQiyM5fNNpwpsjMTDkTzS0Rh3gRnaMIkOIPUK3gGBzH8J3eib2h3pelb LEFQbN2Y1pwOqmbOBDLbd03Bdmx6Pb9yoSzCz3ChPLq2mtIA9E6Qnqn6nUHzHVBNgTf0Wj28 2Wbi68J63KQjUjdNFf1PnR8WGT7QPGgVh3akZ1hd36nXlYkerN0erC/2YO3pgUNifv+4Cd9n r+nPthcYEK7nnmuuYuYHmO9z6H1GKrgkUy9RoC/csUItr7gbLaIqsp6cU4wTGg+sFAoZSGDy TMmToxOD4lK4b5T1iPEKzsp6RkIDZDoyCGNr2YjMUufwAVUrn2VuR0XGqrq8dY/F/UbsIne7 KKAtHXQIELsjYFs0UpYa6Rr7ohHGcBl4e6bNyolnRF1SKw/X0ARmm3IXxA79P0oHGO4FnHim Dk8dTWh37FLqOkvxrvI86Kyx1FGlpbnyoGUSS8OhWtTqD3/VIueUWKrlmmY2XU/dKdyoYAsa SkwecHk+6jAnvX0UCl/mcscZgMxyhldSVulyfp65q4N/52WblOV0SSEE+n5GdTX6QFEnZziL uMsWs2gFXIpynNE9HFcKMOVyeEY6ARL3kSmb4lauLdRc0i9qaSJ26XwWPIPrlHfyo9l68ZfL 57DX6+u5Az7G19N1M+qtPwZLTV4WnTvWy2x1ZaosJNDNyWXJQISXQ+fhAAf6IqDnU5Po9XuO RA38OQq1LBaeV9DUoNB2Lupm0h+ItbnKUS3hhDAgqJahV/bTgQA+JFVYYCZcTHbiVabKZJSU dAE4rb4eeoHA72URe7iKVJvY61ddZ4xwiT+fPn8D7MsXsdlMXu4/n/51mjy9fJ7ef7l/sC7m sja2o+1QHY44FyQ4Sg7MAd0WFb91BhNYSzRdBo0DloKhLOUgBE8DYwdIkHyTT91boEcPblcf fnx8vv4xgYui1c1u/mK4s1g5a2Q7t8J6qlm13czdGQ4zWa0z2iUvvry+PP/b/R4zgwsUBhFv Ob9yw58kCo56TiUHkchcrK7n0ytnDaIzpAMitqQEn3vMW1JU3/EJvVG/Ov/sX+6fn3++f/h9 8tPk+fTr/QNp6ZUVnXmCknzWVWuLHbVqlLW885Yd1EYAxay0pEcEIkv3ZEYgxj5QpwYqseUj 3WOdur7RSTjZk81eOKnHVJLCJEkm09l6Pvn75un9dIQ//6DUihteJRgfTHxVh0J3VvVYRpeb 8FzdxhizCASeAp9OlPEH1LGfJ7W6YjjxrZHzenhY5LEv74NUq5MY/PrtnlU0v0pu5UMmZxII eSJ/ZSqYxGPDgl5j8gUSx0sv6tD4MOjDdPCY/0AI3Me0wLD1+TaxSCTefkXq1RkaXYd6vkh0 vae/H+DtQc5pVQjReio/0AY9bYpDC7eRnSFPM18u1B1vfakl4KrmoLqFgG81WEZ0/NwDSM9F 1c4i258zSWc061JyAMgA13R6ioFgRQetHYrKJ3nWd+WuoM15w5eymJVdhF/XZQWSPrgbepeb FWwTe9cl9XQ29aWJ6gqlLEInJEd/mPIIZvtS0TpxEuJGiXMrGVBKXV6Tj6WalWbsu2n7sVB2 zt8sXk2nU9eUbEwYlHXfq7InM88i37bF57aaLRmOZX4S8KC8to9JdutJJmmWqyK6i7iUC0cW TH0JXdKpF0HvUsT4pufCOgmrgsXOXgrn9FYJowy5Hr2NUblIIiLf0qn5tsjpXYuVeS578rlQ 10hnFqRYid3hyHn2McwpLbFRZvCTNPk1lbjGKnTge2tc690+xxhKaSKhPeRNksNlktDzIrRJ U3loUn67d0NuiV7sklTYbj4a1Nb0Mu3R9NT2aHqNDWi7+8SX8aqy4/cisVr/Rd2frVIisnrj cjaiiMwIa/GCbQJ3O96fUHRPGswDQeNi+sQzGo3tE0Olw0s56ZNhlNLpQ4aG0oD2lhGwQDzp GYz68OXAxNIjhElw8duT79pHdxhkCWnzEtWbORxoGQZFu7xkXNNm/43Xwnq5stMOZIdv09UF 5qae5CM58m7PjqY110DxVbAwte8mCs24Vsem5FPpiX4o3aK78uSF29KKRoB7OABvfEXck23A zL2tX1j9GUcBsdhY159v2YWFk7HqkNivhmSHzJduSdx4cqmJmzvqYmY2BK2wvLDWaJY289aT jQhwi5HDgokVx7PozfHycNlL5EasVguaVSoUVEtHYd6I76vVvPFY9t05Gu25PApW35a05guQ TTAHLI2GIb2ezy7sLrUykozeRdldZfsAw+/plWeeNwlL8wvN5azWjQ1cUYHoa5FYzVbBhdMA /olOrJawKwLPKj00ZDpru7qqyIuMZjm5/e0c5NDk/8YOV7P1FcELWeM7g/IkuBl7Y9ilS8/1 y/zyAwgK1gEo9ZMxfTk0ChY3Vp/xXeoL7EYnLU7yLc/tZ3p2cIWANU525S7BlBEbfkE8L5Nc 4AtXlianuCgA3Ha2o77QbcpmjcfQeZt6JV6oEy1BPvQtmTvW/JA9uvpkllB5G7FrOFvQAYOu VOP3zCMy30bo/OXLNVplF1dHZYeVV8srMiLPLJHgtdESVJhHL7KaztaeDKCIqgt6r1ar6XJ9 6SPyxLKnmjjME1mRKMEykJ1szxk8dj2uz2bJxHz800QUKas28Me6YQiPmgvgmKElunQXFTy1 I7hEtA6uZlTMtlXK9kDhYu0znnAxXV+YaJGJiGBYIovW08iTCSgpeTT1tQn1radTz9UQkfNL LF8UEaYpaGi1kqjlqWYNQZ3hYz+Xp3ef2+yqLO+yhNFHOy6hxONtj7k2c8+hxvcXPuIuL0ph Z75HO3uTbp0dPi5bJ7t9bSvHJeRCKbsEZl4DEQozAwtP7uHa0c2M6zzYhw38bKsdzz0qSo5G tRSmtaZ8aY1qj/x7bqvxFaQ9LnwLrieYkXK+UbnyNraM/sr/GFlryj1JoTUNa7ifBWuaNIX5 uDiJDa8cbY7ec4gIStr5ZhPHnox6vPQcKzLbZehahIZGd3e+xJ1KQkbZd71eZHQOMbwpaCcn E6+TkolxbLqRPG2ENb4q9WTgL0uPed8pIFvavX58fvl4ejxN9iLsXUeR6nR61NlYEdPlpWWP 92+fp/exf+tRMWjj16AzztT5SOHqnX1w7s7Y9QG7GEmAZKWZmWnfRBkaQgLb6VMIVHdZ9qAq wa17EprQmWd6Ki6yBeVgb1Y63DkpZAISrHdMzQsUga6Y1qtQuF6WoZCma7KJML0FTHjtof9+ F5uiiomSquokzyk3i4rdRfSWP7KxcRIths+nj48JIE1j5PHoKtP1ZrMKdN8mJVxpj/IGe2n0 2WCvDC81tApRa4VaTyI32Htzr7VJNS045W4mbYtDct7hiiBiT2rjwzgInr+8/fj0urTzvNzb hmQEtGkSU0YZhdxsMGI0tcJNFUa97HVjReEqTMbwWUCN6fNTPd/DvPX+Dh//oezLltxGlix/ Ja0f2u61sZrCDnDM6iEIgCSU2IQASaReYFlSVlVap5SylNRdNV8/4RFYYvEANQ9a6Ocg9sVj c9eSBTYOaS6eQqJysK18HqwoZeM6q9zhN9fxgm3Ow29xlKiUd82D9gpTyPOL7WRzxrWxT6oF m2UN8eV9/rBvxF3jdctlkrERuA1DD5/cVFKCP6rUSNhiZKX093s8Ge971wlvpAI48U2O51q2 ghZONpm/76IEdxywMMv7e8sjy4WiW6XAGdxmvMUs20LsUxIFLu4qRCYlgXujKkSvuJG3KvE9 fNxROP4NTkWG2A/xI+WVZBmdV0LbuZ5l83Dm1Pm1t5y7LxzwjADbmjeimxa3N0h9cyVXgt/t WFnn+mYjKd7TyHLOt6acjWH4UZFU9z7rYDfC6Stv7JtzerK5n1qZ1zJw/BudZehv5i4lLVuq 3kjWPsVXgWsL6MHJKbpFJY2t66DMf7KRWrXYNgtHUlrWACtl/2Dz7zwzYD+M/WtRmlceW42S ti8sjRzhsTW8zTr8yk4fuAVapEBWDnd3N9/sNtC8BJUpPW1hIikYA8y+5aVmvmiNmbexAtc+ VtoBfMNBPJvZuFS22sWTt1j81GIkbVvmPGUbyWJNMdxZbskIRvpAWuyoXKBQctOTa+27GbE8 udRIaM4udBgGxY4fF8MkYhTC0prQxKwwLNLsigVTSMA/1r2143FfUKrpXy6BcOHKTGpxrCWz ipatHW6xTqRmCrbFDd9Ku9+zH7dIbX4k1NLFJppoRGyFwBZ9eGuY8g/tSSh0Gyzd3660s1wE +NPh0+PbJ24yuvi1udMfG05GR+b1rWkVRWPwn2OROIGnC9nfk7mUdcHPgbRPvNRyFZ8TmN4t NDZVmhZi3FWkZbFHpB25mvFOl6kYHd+NELFQr9JcNKiBdOmIREhaLBlCCVMnizOH0BQcSZWb d2+m1SBWbcvdVGxVJNaYfz2+PX6E/RHDvkPfPyjbgFiewUnlLhnbXn4CJm4YW4Ws1Z3ZxOCF i72jkruHAyvbYOZ8XjLRp7fnxxfTAuLUQbgNoVRxuS6AxFMNKizCMcvZ1MUtEUt2ahGeMG+j VPwMuVEYOmS8ECaqLVaWZf4B9lqwQUwmpeJ+qSUxyoV7CcgH0tmSaZnzZUrFFoIVeotKZtUd P7qSPETLaMcqsqjyhYJGlA+wCWFZZshEQltwP3zRz8qwmryyfm3LfHa9GVXXewl6fUUmMV3N 0kCqIkMiB8vayD1+YeHm9csv8CmT8FbNNy2Rm+dTUGz54ltPYWSK5SxGUKAg9b1vlaHe6peE UpvUQ31nscsywbQ4FJab2RMDVLwCd8E3h5Gm9WDZE54ZblTQ2PbaVZCYShX525RpzH/Xk6P1 iFal3qJN5wUtvclkU8UW3LX2eYjBB8pKsr0VB2cV9aHMh1vUFM7luFuI4likbCjGnwDMzY8N Hx9cH9+qmCuptTwymBsCa5tmqhb7qcrwr7XRKu27ctY/9XBrYX8hs71xqMejpQ3XzYfGdqMF rJH16CHX6TI7m1j7EsgUk3QgGPLaECBeraZs8E3aszkEcScckH2WGl2DWl6HY3MOB+RElq05 97StthE4vTZINx5BFGyJDHpyVlpdiVb76URJnD4cCHr58XRlqlmdqUdoi5B7O2XKUZVj+8cr TTv6WAHtrvsK7EmAHs2vjIvswUcW6/74VixllYS6fF8pQ9Ge2KAiadRsqViI457puI1b8vuI qGlrq3+oU755aJn14eEe+O0MbMeFKwG9OsIWGV6gnK0W7ew9Ee261kRLi8ErsUwS4OAerd/6 otqkyi964z+16GUZ1jCP6SmHl2TQfpTukrI/Fp93rA2lusXMCWJjfPkAvki4a841TbPclMxm M2fHWWbRzOuyqaV3Z3Bs1p7XoBQELJYsPorEnjtb3JsHHooJthQslbIlfsPU4GMhq84g5Rte bKpoVLFuxZ7LToyqnFQwYcUPJ4TBuB8v35+/vjz9zTII6eKGthFtBz4j3V6sg1igZZnX6C2/ KXxjwF/lmud2g1H2aeA7Fo/XE6dNyS4M8P1elfP3RhrboobR2SgcMOChCrm/eTu/Koe0LTO5 3WwWrJrYyZsUrKosiZ13epbmQ17+fH17/v7X529KC2Kaz7HZa16/J3GbYu8EVpTIqdfiWOJd lq7gw2dtJtMAeMfSyeR/vX77jjt10xJVuKFFLVnwCD89WPABteIHaJXFqin8VTrSIElwlW0i wcOqLXysWuy+Nd+6SxxXj5Ytmi3u4TlY4doegPCUGTvPB6zml0s9PbJJzDK5U8+nZA6/qMo6 41n/mhY0DHf2WmF45GNzzwTuokHtH8p0PAlafnOMNwjupNLSQmiqanjr6PnPt+9Pn+9+B0dS k7eGf31mre7ln7unz78/fYLbJb9OrF/Yeg7cOPxb7SkpDPXqrqjo6LQ41tw6if6GV4NpaZsX NeKG3RadKW8gAJZX+cWoX4sdez5d8KMrNQzWsxEzA4B09/5gVn/Vo1YgAVyubglbj3+zWfEL U/wZ9Kvo+Y/TDR5jJ4gnhBi7iCDuSUPHHLkg0Hz/S4ydU+BSbesNZRp/Lck+TC/ZpbENHce0 kujP2JYLh6DqjZIrubdhYQHS2ns4CQxwgi3ujdYDxqWszytWCgzdNyjGOZFUDLq9jsJXzgG4 aSImmzxV4Urg1cKYVVJYXS0E6QiiABWHAaqZilb9sbhCkUR6SFyWL3o43O+uHr9BM1wNd0hX G1ZlHCzx8Z0CLNkLqO+8rEB2KDX5IOz7iUv5KsZm5T2ptazszz2ssEpl+xaA6SGlJWGzU9j3 Z5IhZvDXEcXy/YEa39RDO8LWg3Y7XmIYK3gmK6vYGcvSZqhfbGns1TyDEEm02GoaKUWNOjFC w4aKojZKqh2IzWA4wHBBHe6rWQk0dRM2pTmoNSTA+SaZHqvubUSChunhgSwyrryC9MND/b5q x+N7e5mLVfDarCWdEtuRhISdTZvd8Ols4H3qGvImfcsbrbaVwKtkMeuB+wwATl/mkTc4+qfG 5Cg3T91NAG2rQv01ngpa+FGshHvCHZe3qsfyFnFLKdTTlt59fHkWlnANv80trBALeF10byw9 JZCff+CpmCnINCeh+uS9JO1PMA/z+P31zdSr+5Yl/PXjf2F1zsDRDZNkNBbAYo7+8vj7y9Pd dMsYbrXVeX9tunt+8RxySntSgbu0u++v7LOnOzbpsmn8E3fcyOZ2HvG3/63cHDbSs5SCvj6a fa9OwHjsmnMr+4Av6kq+KCfxYVl1OLPP1MMfCIn9D49CAcTsZyRpTgqhfuwputWCDK3nYNfQ FkKVmeFlZOdEaHhV2no+dTDnfTOFsgpQdvZm+eCGsgXxRd5XhwGNiwxxHKFPO2ZKd584IfZt k+Zlg/XzJfD58u9I9clgpuzJQ9+RAn/PMJPSU951D5cix09/Zlr5wCYl06O4XhllBg5A7nFN aUlX1wy2u19LskhdN/XNoNI8Ix1Tpi3OLubmkNeXvLsVZV7en+Dk51aceVUVPd2fO/xuw9K9 +Gv7m6EVrKJvcd7BEd/tcgXCochLfPd+YeXX4nbq6bnuCprfrvK+OJpJE77L2CD67fHb3dfn Lx+/v71g7x5sFKOxw44dMbteSoO4dEMLkNiAnWcC+fszUwz2nbB+MY9nrGcpOtMk4G6EwGXG 5GcodBebts1BW8gKl5GK85Y5lKJ7r17fF8Ok3p95CNzMMjIeiD1ATWFYhOMF257n8OrOTpby C6DOuiMpfFZ9fvz6la3i+XyJrPr4l3EwDIaRdaUMuKJuJJMN4C020Ik86L7euDS7knZvBAQH +2hT5eihh38cF9/Kl0tka49A8Dq0hk7lFVv0cqyQr+1xCX+dezGKf59ENB6MsKu8/uB6sS14 SioSZh5rzM3+rAW56Mxaa0rVB+RcfBmSENul4qCpOM/1Nx4sbtc2mo/QppjC8suEwv2bzQZ2 iF388oEo4T6J9UymJ991B016LWowAGfk40rdKA0SNB+b6Vw2wrj06e+vTLNTlPrJaSy/dW8W n5DDWGBvmSSrsWWdaI3XUex2m93YwaSeXiCTVPclIy5ZwbY9alJhhdWFwSQ/JGFs/axvi9RL XEffCNIKUIxAh+wnCtYz00C64kNT4y/1OGGfxU7oYZrgDLuJPLesUi/RBySmb8q+ZEQPb5PY Nws7wwbBDVWR410a9mHia4FNV8h1aUuj0EkiTOy5ZgvkQBJt1BbDd67emCaxnuvpHroRyznd uwH6HFX0virxXXNwAbHlJcmM73a4+xek4UwnI8WNBiVOHPSK75PBqEymvjUnpPUXI9ioGi3P P2ZSLlioDx5R61nqe0ip0CYjl6LUbxUsx8hGBpedByPjxhzuRvjt2bmZgilvfIdHGnjw4xpB SH0/SaztoC1oI5vAFzNPR1jb0Vt/xVYR003m+e6LmUOexcvz2/cfbP2sTS9KpR+PXX4kiqnc KZb0/tzKsaChzd9c3Vl1cn/5n+dpT9vY5rm608Ypf9yj2gFasYx6QYJthckU9yq/cV0AVQdd 5fSobL8jiZQTT18e//tJTfe0ac5WjWq8Qk7F3q+cGQFAXhxMtVAZif3jBB6tZrAFdisU10dS xsOILIBn+UIszrEvfMcGuNYsWB5fqRxsPpIZyhaEDMSJJUlx4lpylzuBDXFjpJlMzUFaBDbX vBPuO7CtCo7Sc9uqe+qyfOMVuEIzPBCutIwIKlZwfFbhT3bP8itpIeZfKbXFZxtraLDzunw0 yfYEDg0exiRpqySS6wYuexzhJgHTT5xIaRXzR+nVc1ysU8wEqL3IMWPTq1uRo1FxBBtLZgLd UzPtQrjePuJmn7gYrYo5rP17L9YMDenJ0RQmSe6GSMbYtOLGTuBgWZuwrcxxijaTznmcaw75 fKawz5OdPP/MAKh4XoyFajkXXkPkJYmE2PtR6GLyNHAjr8TigtwFYYytDmdKlvfcfbTgRupd DCkcpoTubBYwpbLYbcUlGImZB9YsAjdEK4FDO8s1O4njhVsxAyP2Q0sEIYt7+2OmTDtossNd YgGiAenytNr7QWzKhWauWkNTMM+NNzvWkZyPObQFb2e5b7UwmzI7FBR7qDdTuj50fB9LS9fv AnQfYCacU+o6jocWdLbb7VCrF10d9pGb6CMoH9m1n+Ol0G6cgnA6iD8h1k1q4fwBefQy+f/M Yt+V/Y2s8sAqTzB55TqeawOUpqdC+FJA5WDnHApDVS5kyEW7v8TYeYonsgXo48F18FB7Vmb4 a7KVoXhvUAG0lBgQeRYgtqYjiLHWuDBOPZoK6ltCpClba2MbowtjAE/xNVzeZup5aYZ9n4A9 Zyzwe9cBaCPwA6nc8GRqH6uv2rbMaWV75DDnYY8bcV0J8CoIKZV+aJGaSdlfpOjGVNwGs6Ct atV2hvkl/hu5zmjkobUBfnc3KyPLy5INqZWZLKFFsBaSmlgR3rOV/N4EYBvRCQ9YUvgOo3fA 7p6vlNCPQ2oGe6RIIqrU9ePEx1N4oOmpQmroWIZuQpHsMsBzUIApiQTLEANsj2EmAt9YtVid n0mn4hS56DXDtbBDB61cuK5zo2FMG7fGp+/SYDvtrAN1rofuma0ec+uc6VlmiYkpFB2uBRTr r76tPMuFEZm1Q0YnASBDIdf0QnSgB8hzbW+HJI6HXqCRGda8B160WaKcgaYOVEvtpi7C8NDK BiRyou2scZK7NUlyRpTYYkDVVongu9otBBXb7ALg9jrCNAMO+DsLECAtgAOYd3MO7GIUYOnD mlmVtj6qsPRpFAZYXpki6vlJhKuXS7B5ffDcfZWaC3Od2cVs1PLNBLAxcRjQRlhZ7pmvBIvh IImA3USX4BDpd1WMNk0mx/ZkVjjBeneVIFlmUrzbVclWyywrdACp0NGj2qER70LPR/RcDgT4 YMOhLb2rTZPYj9BxH6AAPa+cGXWfil3EQvNPNuNpz3oykhcAYqwCGRAnDlImdZtWMd7W+EHV Dm/rrW7VRfuW7nvFh/csZtooWssMsBhFkhg+9kRGwoO/LUGnWwPv9I4A0aCqnI1ryIiSM9Ul wLotAzzX8bFUMCiCHa2thFQ0DeIKbXAzttuavARp72OjIO17GuMzJ1Mfo2hzDZGlrpdkCb7o o7E480MWJwyKN5cSrFASbAAuauI5OyxQQNDdM4nge/igHiOdvD9VaYh2075qXfyyrUxAK5sj WwMjIwQOWhmAbGr8jBC6aKxgNjdtzzdUSsaKkoiYJXHpXc9F03TpE8/f7p3XxI9j3+KJVOIk ru319srZ/QzH+wnO1jzHCUinF3JQ+6fbmFjQZZyEVkMdMiuy2PiRWJEXn3CnICopv8Xi+/Y3 KZYD47X39Hk5Vq4zovrL5kOopVfDm1DjnMCk9feOi+6h8KlPNXo1icCgJzxLRgOeObQnfUF1 I2UaKa/y7pjXYD4GUtocDquPdUcna9tws7g5mLJrV3CjS2PfFfIF4hnP8gM5l/14bC7g/7gd rwXNsZzKxAPsL9ATsbyywT4Bkz9gTdTiB3n+xB46QpTTi8DwamRUn47I8JoiafO3PWO1neWX Q5e/n6HNHIBDI2Lx4zZz4ObdGul8nwSNmV+OxiKejJB+f3qBm+dvnzEzQqL38AaVlqSSTtWG JFpSc+GnDXKsgLb3cIhWtZuZFhHQJh2znlpTyTsoo/qBMyCJlUMDCh7jdLq5GZaW7/QkFakC 9Sk8+m5Y1xVuFhYbUlhxSmeOpE9PWYPuOYHls4bSYq8ZlKHYW7h9WhGZLonVX9xmNb+kgrMX XI5zBSjqDIXjwpiH+nJSBsCa/5hWtQXVLlUKDH0+wt/e/PHjy0d4GGHaVZ87wSEz3o2CjKR9 sgtCixF3IFA/RjcyZtCTLxBXRYpdQuNc0ntJ7BiPB2UK2DDnr70Ua+UrdCpTefcQAG7z0FFX NFye7cLYra4XW1zwmGLQIuEy1eIByPUr16vMxlXfC/LCX65nK8nkYh/Txhc0wT9CPXesqPri A+oFxjr0+uKChp4e07SrjO/rSQTdTuOM2DJmPkpZpJgWN4HKcTjIjqTP4dGQtuXM6yF1wcEP KjRrZwaQfFStF3m4FWCAT0XEFHibgVe2Fh1bQotU0eBBymJqLa8TIFgxjr4/k+5+62112abT ferlaxBZX/Uv8wmv8/TUZ/B40VLigj2ZMENSBwjX/m5+r4+gK9oytXM/WGytSizsTg3HuQFi Pex3pP7ABtfG5q4OOPds8kVfZgPIL0I4WmsTwhARRvpIMl9DMKRcEzGaGJdbVPWVkESW1M6X FZDYksCUJjsnRpKQ7Dxbd50uOiAhyXcbuLCP/MgxZcbH86bpKs4/cNMorTZuTiIltXU/oLYA AOvy/qzz2/QQspEFG1qmu7jaY2oe0HLjVBb2QeK7umy6PCDL9EvKXHifOFp5TRcB9ATTPN1w YgiEIoijYWsypVXoaAnlIt3iLsjvHxLWXI3xmPZVaw1+fjUhyXp4GOz7IVMxaUoyYygtW38X 4PvZAk5iiy3+KfSyOlvhlpQVsZjFbWnkOiG+WhYXUfCFKYdirQmYd8pX6c5BpJ4bG+W0XIg3 ssiAEN2ek8JLkFiSCEunclddkhp1PcttFp5lijF9MoSNlnK/mK6+I91qRsg5U3VcBoDjua02 fS1dL/aRQMvKD/UuuL4IUDP6vhoS/AYKwMazH7WJNumpJkeCXYnkGqR4aKGplUKIKRczZPP9 t+hznsWqNxRKFWoblwZseeklYMsVtgU0BicmxV8vTKCvD5rTHVMk/xNi1y/FHpYZXOiYqrd4 AKGNr82pEg9VdF1wRuDdi+0bC8JWFkN1PmiDaA86lT7iTu+hlZVM6hn6wiQ088R9O3JdREpK x6+Xt0g/UPbz5KX35ipxCTc/wuaKulmxCM31p8E4FANY323KXtw0QAIBa4dnYSqUniv0bvFK hj0kvoW00KVCWFhMBTsqo58CTXockpRJdcMa/0qCBXIShXgIJAv9HT5jSaSpj5dZg62jTSJr RnDTG8uPvuCWEL1ZSdC81EUSNy+fb+RhegC2mXyjx2jQgCZO7k1IxFz924zWXLiqWISd6SgU Vz4+UhBPnj01BP3mQOrQD0NLc+Eo/uBnJelbPytS0HLnow9HFE7kxS7BEgfqV+ziYXNsu6T4 BW+0Dk1lRsXQbQCJImZqNGQGRXGEQdISC4kW0NAyzSss21NDhZREwc4aTxJZ/DKprMRymVxl 7W4MR5xja+4cRK97aBx5NaZDaAc2V5galnh4JU37KvrWo8qIkxtpZpxkZ8t02rpM895uu1Ub Bi6ewjZJQlvlMiy6NTRW7ft4d6sJsRWwa+l5HNvuIEDx8LJnSIjXGCC2fPFF+s0o8VYC75yD EB0X1dW7JD8kg20Sbg/nDzl+fVciXdioGdlCAPDGoMo5OzTRXMNSLT1pIHhduSgmeVdCR2i7 B6sxYHJqdafCpmPdJpj0jdgb2EzwvFWAfS62DLY/Z4qq5es+SNBrKSrFt7RWsddx4/PIjdCi Zoh22VLGqovFW99KmjcqNuOn5RG8AaMpMJR0CWJBOxE6cTIo0cxXa2CMHUeuHLY+Dl3Wh/EQ YF3t3eqQYn8BHwXMfQodS9Cxz9yz0DDXR3VNc1fDwCxtV6DBrTEVe4Zvo+0si1uDtt1qzC0M CVve8ZvLGdWI1wro62AVwcdPfQGrjUMl2Rd76RZ/l5rzKtizxG0KloXFV0QHBjnTJmNLLTt+ KdIcu1+R5qm2DAVJ3fTFoVCsaoL3Xo516ibAIoclT4N6bRGcCTc/ngC2+CxxS58zbZ91F27M muZlnkJIk12fT8+P85L4+z9f5UfeU/JIxc/0lhQoKKlJ2RzH/mIjgDOMni157YyOgPEDC0iz zgbN1nlsOH+lKxfcYovGyLJUFB9f354wk36XIsu5U29rGbMf8EaolGs+u+zXZqrEr8SjxL9Y R339CvsVyi0GPSaIAL3KYA2Mh5Y9//n8/fHlrr9IkUhJFn7mJQFTc9l6n7Tg9/o3N5KhyXAk W7jXTacclnGUm2inObcYOJYNpWDwCO1qQD+XOfYQfMoUkmy5ERvH/qKZpIXUCuSSfvz6/YdS 2Sb46+OXx5fXPyHGn6D9+tc/v789f7KyP63pB9sck2d1pYKhEPbn7Jj3tq1gzvBSb7oq0OrH ixi+8bge6G3JxgVshuA1WLmuapqQf9JjapRAlOPeCizI0q3M1GBuS21uWbbviuyoSWlVgLEU VShndUUuQbmOD+JaidI0RW9G7Plq5aKGgF3NYePTVkQQDB+IkCD0EUk2IyVEj18+Pr+8PL79 Y2vcTNMm/ARc+gj2k6WmNc9MQ+axZYCw9dpdzAFJ+UwbSc/16icj/fHt++vn5//7BM34+48v SKo4H4yWt/KVIhnrM+KqfuY0NPF2W6ByLGWEG7tWdJfI1sEUMCdhHNm+5KDly6r39Ds4GmrZ IzFo6PUPleRFkTUVrm9JPvjYdi3lOaSeo2z1K1iorCVULLBi1VCyD+XXkSYamxO2QNMgYNqo by1PMniu5YGY2RQsPrVl4iF1HPySl07y8BRzzN9qkLYvqyTpaMSKEdHspu/PZOegS1a1q3lu GNvCKPqd6+PLCZnWJZ5j10CXqvMdtztYmlnlZi4rjMCSXY7vWXYDefjBBhR5pPn2dAdazuGN KTPsk2/LnAqnOt++P3759Pj26e5f3x6/P728PH9/+vfdHxJVGYlpv3fYKsMyETE0cuUmLYQX tkj8GxG6JjNiU6VJjRQjYlydYj1APhHgsiTJqC8eWWD5+8htRv+vOzY+vz19+w7O3dScyvNn N9yroc8DY+plmZbAArqTPmdVdZIE6J74ii4pZaJf6M/VQDp4AX4RfkHlZT6PrPfl/gOiDyWr Jz/SEy3E1uoNT27gIdXrJYku3EcO1hC83Q6tcz0hotHgg/5UG4mDboLNdeWIXQvjKy+y6V2X nLrDTiu7eQDIXCM/AhL1oX/FIxp0PjF7h/g8woQxIjRKn7U9vR/0lM1HGo91DCP9YCGVuFgh sVSqL7GWRtrf/etnug9tmZYwGOn3YiT7TOgZ1Q8tzcdvJUzdE7t7B1AZBZrhpjVTlp0jrkMP feSg+8hTDwqNREJn8UP8WIYnsthDoVfYFXMZT7WqKvYxiFFpa0h3ZrsUeU309JLDjs2ylsTk KTpw+5HRCpkW7Dn6Ch2kgata4QCg60svQV97r6hnNulIG08+ZC6bNWEt3GRIzPzd8NJG02mo t7ZO6OiJ3kNEqXkuKvXNkvH4+YZ4QdFTFmfNVqt/3ZHPT2/PHx+//Hr/+vb0+OWuX3vLrymf gLL+Yk0Za4Weox62g7jpQnhtZ21pgLu+ba7Zp5Uf6nNtecx633cGVBqiUnl3W4g9Zad+6biO NsaTcxJ6HiYbWWGgfX8js2zqj9SHreKxDc1+fnja6fXMOlLiOMY0xIdIz6F4bOqM/Z//X0no U7h3YIwpXC8IfNPZybxzI4V99/rl5Z9J3/u1LUs1AiYwBkE+YbGssuHd1iUlzm7pVTRP552w 2V3k3R+vb0Jt0RUUNjb7u+HhnW18rvcnz9CWuNSmdzCw9YwhnUttbR4uMgR6O+ZCMyAhto/j sJS2o+WRJscSO4FdUH2CJv2e6aq+OQBFUagpv8XA1vih0Uf4ssezz1cw1PvaoHVqujP1iR4U oWnTe7atpVNeir0lUcuvnz+/fuEPsd7+ePz4dPevvA4dz3P/jftF1MZpx1D+Wg9ZxxjLFR53 //r68g28ubAG+PTy+vXuy9P/WLX3c1U9jAdk09jcD+KBH98ev/71/BHxoEOOyvVx9hOsGkeY VTbANMe/IKIFVQWq50B+5e7YK+vXy5GAV1K0zQFGr0UP3kYa7FFHJpuTZT+ES7JsX2BS1WMW yDOWwfMwO1jFmz3QuAW5CrPsv8I0Lw+wd6fGfF/RyTeoKhffsPgr2o990zZlc3wYu/xA9TSC 39mRLYuz8VB0lcUj2JSZNE/VaPpeKx/w6osmiDFR+TGvRv6ID8EgczYMvqOnKsdDpaxGF7dY cI366cvH109w8PB299fTy1f2P/D3qC4I2XfCHS5TDrH3HTOBFqUbBXo5cpeZQ8u39XaoQwCD FRqm5m3JFKpRV0kOo+Vyaqo8U3yzylSZ2ZEsVx0srFJ+xbPtsWM7ILGeqrkCXaUjxe9MS4y0 wAwkS4Qp9t9Wn593/yI/Pj2/spGyfXtlOfn2+vZv8Nf3x/OfP94e4cRFrz5w+gAfYtvaPxfg pB98+/ry+M9d/uXP5y9Pt6PM8NPcFTbKZzlC2ohoLqMTJao7KQi3bs6XnCjVMYnGMj+S9GFM +2HjIHcmC9+JISqeX7X/5puRzEPW+VbYY3umJ73VzAywgFwWxxOWQt5bdrKng1kycue1Y9s1 +/y3//gPrRsCISVtf+7yMe+6xuKScqZuN3pOOV6Ws7pPb59/fWayu+zp9x9/skr70xhB4Ivr T0Rsu8KtErQH9AtIr2xKBv+OgtXs3+Vpb4ztKlV4Tc/IT8R6PKdYpOgUxKGyubKGd4EH5x1J hYMmivBE8Jd9Ser7Mb+wgQdNs6B15xrcz426S/ep9yCVoVYS6+V/PLNV4vHHM3j7bb5+f2Ya 0dyN9Ti7/P0ZzsYgyubc/wYqoWO2PV6UM8dFOdCmhD0IfsXhTNu8zn5jyqfBPOWk6/c56bnu 0l1ICTST13Z5XrVr2pg+bnDgVHzOw/5MH66k6H9LsPRRphDIWTAI3OlfWUDzOnfcxMNvLlLu W+WrKAXHXFcT2NSuSarrUX6fwef4ioTKRgoMqHrzq47k6OmsLiUduJ09ZVWBIOUl06J/P5Sq YN+kJz2JRdeDZ5v2rMpbUnM9VZk72scvTy/aPM2JI9n344PjO8PgRDFBgmLqKoss7ygr+dLo HxOFtarxg+OwJlGFbTjWvR+GO5vWIr7ZN/l4KuBqsRfvMixiYPQX13GvZzZIlxHGYWouU8ow ZCpVJLXi8HUzcXlZZGS8z/ywd5XV1sI45MVQ1GDJ1h2LytsT2aiaQnsAcyiHB7Yw94Ks8CLi OxmesKIs+vye/bPz8eWvySx2SeKmluDquimZwt868e5DivkMXrnvsmIse5bGKndCfbtkYd2f SEbo2FPH8iZZohb1MStoC6Z07jNnF2cO/lJNqrGcZJCrsr9n4Z98N4ium4mWPmBpPmUuW85j lUBJRc+sEsps5wQO2lgYuHf88L22Ya0QjkGI3qFfWTVccSsTJ0hOpXKutTKaC4Ek8x7iommR KFEUewRPkMTaOe52V+P3TIaxKsnBCeNrrpp/W3lNyUbaYSzTDP5bn1kDtyxD5w/A/WGfp6ex 6eE51Q4dQBqawR/WU3ovTOIx9PXJWPDY34Q2dZGOl8vgOgfHD2p9KBVMy+VqPFcdecgKNoJ0 VRS7FjOGKDvx8F2YldvU+2bs9qzbZD6a0Lnl0Shzo+wGJfdPBB1EJErkv3MGBx2RFFZl6cEa yfLA0s5HthUMYpIQh60RaBB6+cHi5gj/kJBbw8rCbg4s7O3qoXlx34yBf70c3CNaYifStWP5 nrXMzqWDY+kWE406fnyJsyt64wBhB37vlrk10KJnzYf1StrH8a0gFS5e+TIl2V1QTlM/sAXp EHgBuW8tyZo4YRSS++pGZfRZM/Yla/1XevJv1VzfMnLmeEnPBozt/E7UwK/6nKDDKGe0Rxcf QfvuXD5MSkg8Xt8PR8sgeiko0yabAXr7ztvhxlxWOhsPme58HIe2dcIw9WJvcx09KV2KHqdf 3VuVnRlR9LZ1P3b/9vzpT32rJc1qinVJcP/Q1PlYpHXkofd3BIs1GdijhD0mXcuZ524mqmc7 ZRJcsi9hmCz7ZOd6exu4i1yj/avoecCsCnDdv2cZ6KPI9cwgmG43ws10+1ZHBfsOrBjA4mnW DvDW7JiP+yR0Lv54sOkV9bWUt09lZGjHtq/9IDKaHGxYjS1NIs8YvRdIVztoAX22SCLPAIqd oxqumcWeb9eghE47tSJL5vpTUYNXsjTyWQG6TB3VNkUbeir2RNhHiCNvE93+NtbTr+H4zTOT iLq04DQ28R/aQO//TEzrKGS1l/hWJDKQvs1cjzr69o64wM8GVVIPkR9soLHyiFlBM2OkVT6M UNs6vP17YDLtEodmF5IgYS7DvrkjMVPUNM4yjlSnrE3CQCudddmqHhII8UhOezMFCK/wqGnY Qyakel/WBlNzJJSjyfuaXApt1puEqHlHGCEGekAvcEAVdWl71BbWadF1bJn7Pq+MfWfR+zLU GzI89wPOaUj8MJYWujMAizjPC3HAV+2Oy1BgecU8c6qCTbb+e2w3c6Z0eUuU04oZYFpEKPcT SR77oTYXDHltCMYDn1tqbWF/2TcDv1+uTRh8k9gYM7KD5VYPJN1FvdLyjJvTPS2wC+piG8Uk kwuxDqL5IN4UweuvnOILGbYsyuue71SN789Fd6+xwK15R+qM2zLk8/3h7fHz093vP/744+nt LtNPVQ77Ma0y8NMhJ/WAv25Bg+KR7B8//tfL859/fb/7zzu2xpuf+RgHo7D+S0tC6fS8a008 IGXA9G4v8HpZEeVARVl7Ox7ks3ku7y9+6LxXTrpBLto9djQ1o748OYKQKZxeUOkBXY5HL/A9 gp3cAj6/QdC/Y0sJP9odjujx2pSj0HHvD+qFa0BEZ7Z8xtbCPuvQskXR+WRBL9cl0JVx32de iG0zrJTFqBHyubB6gXablcS9J93g8JeFVzaq3eCJR8E3SJSwVRG2A7VS9HeRUmoXu6EYlCSR HVJ9W60g5s8QobGCjtA7syulhX6sOquWsm1/lrySpEezSBAW+45SGi+sbOKyxcpgn0WuE6Ol 06VDWtcYNBkRwpNjtIdp1Lkxtsyx8LG/Yor7dE4uDYyLljGFaFzcmIm0OcvTCv85wuM5/c2r isCpBet9BTZHUyXAOuNHDp0qauVt5kkw5mVmCos83cm2F0CeVYStHEH/NsLpyLUqskIVvmMl bkpGtgA99zB8qBjLI5i/VoVVMeQdQGYKG9VypySG924smehzromFlI3xzlFOBhnGlHQZ/c33 ZPn8Orcp2UjcatlvuyYdD0YiL3m3byg/bE0PFrv7Cq2oe+ygn6eZnzX/Y4jmr1Uo7cvxQuBU gJ8/aema6ubd9JTTdpjK0yZ8TButY6THvWrriBcSnKDVKfp6GXCS7mKxENa/RN/UKTWpbPxx BeGU/cKvJPAfUzdcZHK0J3An3OWkLBu4TfAhX03l81S3BdK80gKbADi/SdXyAEO0PGuKcY0Z gTeRHVgmtvcpHkBmpGISc9eFbEViLRyZR9usONgTPt/yQKNiUPqBTcmx5+6qYQc6A+sPKeZw VPum68MoCDnZFjKLFHeEI3G6vG6KDimbBZujkBsVN6mNVkpV3HcN7399o6L7tIp8biiZjtdT QfvSaOQ5LY41XOkCktFeV5TVptE06Wt6J67LwO3Uw9vT07ePjy9Pd2l7Xh49TXcYV+r0EBr5 5P8o/iqmzB0onGR22CJZplBSmAUDQPUeaaw80DOb2wYco9QSGm93OJTbk1Ckh6LEWgygQ3qx DSQzpWsrejTDLqqB5+I8yFP0ZqWoSYBmcSoiz3X0jmfEdMSSz8Q8jAJ1o6aR4CIBkoUj35Ar S1ihnXtbLLzcb8cjaBvhtKwPwA5kIy5T1OCXg1i8Jc6fCSvc4o4kv7+ykYiqvx/3fXqhGZYC 2hzQQERn6qvnj2+vTy9PH7+/vX4BJYvCmuUO3BY88gqVrTzMtf3zX+lpHdhqrh6mbo9jfHMI ltUV97xs5Vm6xdAf2iPBY+B7YMu0NPV82Ds2PSHLc888rRrzAjmP574okZgAc/3YsyOqIU8D pboitKCxbLNZRQYrEm0gGykB1JqS2HEs+Ytd1bqPjo0nbNvdYGnWYBf8PnAdbIkvE9wESdp9 EOjq+CQPNe+OKxKhz6lkQuDhn4Y+ao5dIoRoaso0jOTXSDOwz7xEAEZke7bCTLHV4UxIVcNr i5j6Yemj6RfQVt4FI7CFGtpD3SqWlAZeGSANiwMh0o4nAG/GArTkEKCbaYnREgfI32qEQIhC PEGxY5Fbche7tr4woTbj0DJtGBK7l96V51t8F0uMAE+mr1rAXJHQL7fDHDwnVk+6ZohrzFuN kOlTSK2LgwR82M5p7GKtlsl1354LkvjoxRqZ4CFdWcjxhjlh6Oh67KsIG+XhHtfY3fviVbeu BhC2rnASJBkcYSsOYoFCBykOjsgvQxVg59kQP0aGrhnBi0KgOwcre5GMrdZT0SrZudF4hY1c fqCGxCBxJltbJomtNtwoQVsAQHGys1i+V1g7tB1P0M8FgDcKABUb1hqAl+0M2oL0nQgZjCbA GiQHrUGyUkSa2ozYA+WoLVSwYI+HGrre31bAGhsH0chYB0N7c3efuEir70o2KSOdFRbuLtJP QW7jB0hdiA0ArFEBEqIOvmfd/9iXqm2aBSmOFckoohLMCF5wC9rl7D/o5/z6AWF/z/b9zCWJ 4LA15FbaJ/Xe/JpWHm7jWmaEmAIIQOSgysAE2fzTayzLbMzgIIxQP84zoye+h/RhkIfoAEjh vgLZWij3hHphiGhMHIjQ7AIUoy8cFUaMJolBYC90++MwdtGRkEOoMWSJwXRqZErqmTYQuDsE OJBdEtuAHVLefXnxPYcUKaZoSyDeC2QCOoQsBF+x3GHC3oDlU4ZtbU0lbTfblbuZGMP/Bkb5 qZiydHADvO1Qn3hejB2qrxShruKfMyzEbz/NnHNGXH9TN79WSeiiyQPE8kxcodwKPUHGXCaP XWTgBzk234Acmyi4HJmIQI6p5iAPLekJ0cUNIKj1AIUQ2T5NUB/ZKyHB9E0ht7XACd1ufGAc 10H6M5fjUe4w7YfLkfEU5LElnBivwF2CLAE/lH6Cql2g7MYhMo5xU+2oZirMu2/uDkYRFldN zmxVg+oVAIXBVv0DI3EtoSYeUnYCQDdZ+pZEbNFJ8LsKM6ts4b7ElRI4p+i29joE8zIRzaQI vBu28X7FV+MFymah8p1QaeB4E90SXGEVEJudx460pxlVcm7zQ8Ux6XKV/QSUPw5DSks6VRNH fkVmXgBiwjW97Me453uyD0wr6fL62CtHUgzvyBVNyRlCN9MAIU5neHMy6Nenj2D3BD5AHBTD FySAhyaW4FiVnQc1zVw0Hg6atFXsbnLRGU4ytQzn5X1RqzIwy9A96LKC/XrQymNMmzPuCgxA 1r5I+f8oe7LmuG0m/4rKT0nVZjO3Rg95wPCYgUWQFEHOoReWY49t1SdLLkneTf79dgM8cDTG 3oconu5m4wYa6CtzGJVVEfPb5CQd/ipEoAM7lVUiHUIYg22RV1ZO7hHmdUMipA/LEiu7roLd Q53c1m0TseFVcGTTymGyzYqKF41T4z3fs8w0e0AglKb8eRzoKXHrcGBZXVD5fzTr5KAciZx6 nCpPe49wjrFuA6x47cyW92xjW/sgsD7wfMdychHoZuWSw8Ihk5MjQRapZOF2UVkSu4C82Bdu 4WhLfGFpCLblkYDu9/pQQB9WwSoJdkozJp2hqBI9q2yo4LBlyiKtHTDuUpU/gUST1VyNc6Ds vHbmRVHVya2zYliOhr0wt6zt0wDDDA/wL5OaZafc2TFKWMtZFJPA0QSKRuvvrFYOqCSm7nEm ScQr7+uM5cqlJwp+nLGTrL0ZbYAvdECFnrd2UyTjupOtenQOVwE+MhHkR2WSoL3qbXBFyDph lCVWh0syCcdD4mwZUJEya6RbWiUo8VCtePQKZNI28R2ATvfY9ROsqt8XJywvwLzm/lqEPUkm SWhrRAeMrbM5Nnh6tqWcezsc56KoQ/vSkeeisDndJ1XRdU8H7SHeVn9/ilHI8XZCCftUUbW7 hrKLV2dlVkpTNKLO7SHKjS1bDAWhOlYf0AH1RU9QULN3RLbbAs5MyyDBLdX9qLMQ1DV8ejs/ XnG5C9ZTaeOBoHXEmLE4koUOGCPiK5lqhPR5o/0NoIOcyc8HkyyihZiKqNhFvM14XYPMCcIh Z8YujXgiUQaCYX9q64rTIfCRoMlKjjJjkAD+mYcMVRHPqgiaymS7s3dJwAW+0HH7VY8hETbV kAsHePn139eHjzD/sg//WuHJhiLyolQMj1HC6ZBXiMW6q0xOtEMF2+0Lt7LDaFyoh1MIw9QF dAmnMuDKhh9WBQyoDgxG0ghBfytAyqt5RBlA5slBnUvjBMFf2jqdgrWOKGBg1GEOx5jpIajQ mwqPyxxE1XZ3wKhj+XaMgoV2xJ75hfrMyJs+mtwjgrF6Oruh3Uw1QT6fzJY3lJWhxsv5arFk PuPDjI6eqpuBhm3mQ80IXbpQR9+uYdVkglEvFw48yabL2WTuxFpQKGXfT13ER+zM4ebmOe6B jpnCAL6Z0bbvA8FkSnpmINrNOqeAmP3Nr1YH9XJXKqS7YziVwJzgpEtHj116nVAunWQDPXip Ug0KUdAyeke2XgeSEYxtWQZ7BdEr86VVQfs8xiCQ2YLLgF0GB3pIYGoDo+lsISfmC5NCkDl6 9VyNZ+tAHmjd8Hq+DITB1OtD+18Ep4NO1OhUp44Yph7zKlNn0fJmGsgrq/l1KSWD5Q2JKv1V s6QMYvVXSZ7OphszJLOCo7vN6sZfJFzOp2k2n94EB7yj0E/WzqamDCL/fnx4+s9v09/VEVFt N1ed88SPJwyqR4hOV7+NUuLvzra4QXFaeNWUJxmRVzjd6OwI08L7CCNChfsfrhzX682FAcI0 KZtTTTsQ6UEGOUQ0P11xcivmU/LFUQ/odvSPe/zw+vXqA5y49fPLx68Xjo+qXiwn3tqo10v1 6DkMU/3y8OWL/zXKQVvLLcUEu64PFq6Ak25X1P6E7/Axl/R1yKISNXV5sEiGKF2BihA3VQsf mRGjLAyL4E7D61MATW7iQ/N0dL7WHm/V3w/f3zA89uvVm+70cQ3k57fPD49vGFhSBRu8+g3H 5u3Dy5fz2++mGGePQsVyiR6WP+spnZ4tWOWSwVT/+ZDkSU2nNnOY4RNpHupZ1/XZblB9IqvB ogikJ77BaE80BYe/Od+wnJo1CZwVLZwI6Jkjo6oxojQolJcbDqFmJRVVF8ARNpqUugkrmt6X xv4yuV4GpAyF5uvZzfXyEsF8EsgT0aHp+DwamcynVhw2BT3O114t+XJxsZTrQHqu7mNHfuug dN7ajuHcq1eZx2Y+zTpCF2EbAKfsYrWerjvMUCDilCBONiEWjEjRqEOMCLZpUj/HnTzlEaZM NB2gDgpq3Cb1x8ZTs/rdimKf6ByPJw/nzZEO3odxDDYAiWDPK+n8YE4z+kJZc+wimIwVwcDH 9vtevFhcryfdOWU9hmgMWaVbOZlO6AAWaPfPZMQ5vgfSO0sUk+4PJauUN1zZRe8bwDowlkKO TlYduCrUOC2t108VzwXvWiDySOk4sg+EXV+AWNEW5CuhSWB1jYFQl0KyMVYjGnvrg59txOmn N8SVmI1zm+S8ugvSxBhq2acxKJhpBIoAkHmiQs5tIOb/G1VRVhGw7VOin/qqasxrMoJEurLV nKqWKeXAsU/RJwSmXKPu/YbqXmH20KY0toEmY0WUF4pBiLt+PnEgrbBMtwYwz+ujV4BCbKlT RaGF5YIKNQaBUOlPBcthyhkyEmoi2zH5Xw/dFMdtYwVvZVGVtzsp7E/NcLNdxEuQ5K0AHB3Y cWi0kRt0VTS1Fh1c+dP6JQiqWIHzVodh6PPeekTKkRMWSALro0lT2xBuH5eMnNH7XSFr1S5v l1YuN6/Pn9+udv9+P7/8sb/68uP8+ka9V+5gMlV7cpP8GRfF5nh+6m8vBHdUO3e9SLYB8dAr bbKvox11IdEMolsrJggAU2n9xM0YZKkBYxUAQkjXTC4LSr+KRPDfBt+8xwAkFo9tHhDnFBJE S+Vf3SrfVu9bjYZBVmjKGuHAizrb2DFR8FOYnsh27AGLcblHnbC8rNg3CTs+gWbISHKys1Hx s4+EA8S4wO0xY6auU8Ej08ptMDxoy23MK5jnvcNyN8uICdR/u62Sk+XLG2GQeO7+dp2yB6i+ Wyhxgd8n7e3mr9lksb5AJtjRpJwY55cmFlxGF52kOzouGUVmE6k0su4e1+HWs+XS3pA7BIvh z4HBcokLv80Ky5DxdGI+q/nopS2BEgSkFwNBZ6cR8AlWgWcbj3I2IVMW+XSzn9QdhfhfYTRf mo4TPvpo2mMO6AzHZTWbrEO46+P8SNZPYdfTFW2SaJPdTAMpjzwyyqBrINoj0fTaNL9ycbNL uPkF3CKMWwV5trF5SvY4UWYRYmBk6VmvCMpoNl+52ZlditU8cKg7hHw2IyfugA7EpuzoItxy o75F4eJiJifrQJ3j2r2rOvhTrrJtTyfERNzCTrQrY4oviJVH6g2835yiUutfqCqxu03BqtjN JeTSva+8bnZJbhO0aEJbjnBVIqW0i9GI22vggAthYhbACP2RN2QdMqZ0PX3XJXYO3gGMPUPw zHm7Ws4oK36T4EjtB4hxggn5BNeTwKcZ25TR5ZmeqyOGWm8aI+wrQoer6th5tncp5Gp24WgQ lvHTWCAIulqEcNnpIB8/Py7hSPQnCZ6TBE91fEpabu6np/5/xiltMrEvXdqTfNkDV32gFyhw VTQ1z/3z3AkWZ0Lb5Mi6dOBu0zS+Y5vQgoqs2ZaTFjrH9cpIwO5eWVC6aw9mRgL40W5EYfnf 7Bp2SBRd4AESjSTwQ4kPAoe2KWMWUA2MtPWuyWMMs5ORSZWPoqvX+K6RsLtgHY6cFSJcxS3f MlRXBAlYlFS7mH6QQFx74FWSJYEnNk0RYi3itgyo5/EYlYdNU9eBK5WyVW23jsPUiMakCxkr HTtIG3+56ooiUPUkSWBbusDfnl16zcMsyzKSOm3e81o2lxj2JDXbZAFDiW0J/VnAvaZu05C9 Zanezela9N3R7or6NqHf1IFBcLZvBGY2pZehsp2SGBvJfarsKFCxd1uyC5ZPA0VGmrSRPd7n pXOWmbzFBBD1fOEGqbaolHZAljMvqY1FpSyB947CxaGBv3Dcztp9UKuv6USSZwVtLq4J9pua Hlghw2u8jHQkKAmLpgl4FPRJIMITsCe5m9KnZh+beFO3VXrLAzO9p9oF50FHEN6PSkxqUgZ0 UxebUA45FC618yTrRFyvLkzEooRjpbrEBG3qlOwJ4wa0ec1D+77IjsO0vTSDAt2lsZW8NPuU uWakQ5V7b2jaTE9+P58/XUkVvuaqPn/8+vT8+Pzl36uHIbBw0AZQmbOiogK462g+Kez65Evb /7cst6gmV7EK0yq5UxeTqqAnmaaGo6V11VMuSZNzqHRgMnXti5rgFcCgIIawn3VCKxptPUFV YLas7it6bAUcFwwD8F9gLhvV3SMns5QeCXcYNKBvi7JKtjxwoPbEsPljmMOLNGVVzNsLh3NP x7ZbKBHtboiq7zCUZpSZlusdBMPnlayy5WtR5Db1CBvDo+rp+fj88T+mrQmmWKzOn88v5yeY XZ/Orw9fnixDSB5JStZC1rJcT63cj7/IfdB0i9vJYu08UvX11tY865Uj3Brom8Wacus2iKrb tSOD9xjJl06EbAe5pJIf2DRT9/HAwJEGaDbJtfuC1eOiOEquJ7Qjl0N2YweBJ8lUUuDWTSfp E2LMQvj/NqEe4Q26fbQku3QTX0/X3jW3x6b8CFsh6kICkynbijYyQ6d3cbv2kaW02R1kyUES sK1Tjbktn3+84FxzjXygjGRfo/HA0njRUj9bZGe0KbvdZPFAOe456KyCqSHakterBW3VS1Zi uKAwnm0K4yFnEMrEzmplGVE6ApbBCcJaoVmM9dJc1Z2P+EprDHmxN1MMK5gVPVWDRtMOnQT5 /IS566+00rD88OWsLHIsy/Q+7O5PSI0dRZWkXuxJy5Aerx/llWasrnhkWUj5NBm7D5i6WKSo bKzhhGm2lAK6SDW52y1QgFk63s48PaqPbffUY3avQezKUX1Ynb89v52/vzx/pGzRqwQdOjB2 LTnliI810+/fXr/4C6GP1DiyR4BSzxO11cjcuP5riIryvUXbwjAGAS520M2O1beqaRyUGIUZ 713eQpfQEb/Jf1/fzt+uiqer6OvD99+vXtEs8jNMwNg292ffQIICMMacNPu2d5gg0Dro/cvz h08fn7+FPiTxiiA/ln+OMS3vnl/4XYjJz0i1Gdx/i2OIgYdTyORJLb3s4e2ssZsfD49oNzd0 km8DyevEtEHGn8q9uRMms04l3ZX76yWoCt39+PAIfRXsTBI/yHHo9D24dRwfHh+e/gkxorCD z9EvTZtRNMWXL5Sn+5K7n1fbZyB8erbS2WtUuy32vfN2kceJYLbG1iQr4TKAQSvziMwYYVKi gCpB/huHx0SjUa4sWRRA44bH94nbiNidAGN79ZV95JYc8YbUM0j+efv4/NQliDDYjO8/ihzE iXK2phRTHT6VDAS4iVuMZyzagYfHgvmCzA/akYFYOF0sr689toCYz5dLCq6MxokiFWq9oOzJ R4rOotyGl3W+nC79tlX1+uZ6zoiypFguA6b2HUXvbhSuDVDAQoG/VvoLAYdHZXnSqoCncZq1 iQhYU3GymLy2DAjhJx51NGHL49olVkNIlofYpKSsyRCjPZhq0y4LwSAGbsvCfDFHaF0UmUMH C82hQTtg16NtD3fOkCNXefADS6MFGWa196MgAAalREtgyEAApkQ6NLMEkQ4+MXdXj7cxNCWG jN+QzqVVIpPa3rAtjF5D24N1+CuMiHYlXOdYdaTvE5oKQ0t5bgOqM8rdCQS9v1/V5jr2RB9w HdBjXQxglzJNo4fClG8h3AaQKTka8GHEcj2M6J5Hqhc3kWhvi5whu5ldA80g1imwi6qydjsT GQc/kzypKhbAsWxf2CiMkM3FcS3usDo2DtMtZFZPGMjyyNrZOhftTppRCSwUNtC6PCBTVpY7 zOQnYrFakRpmJCuiJCtqNHGMTQ0PovRkUbeyAm4cIWQiRGROXXsmGJXCQyxiVOQFEVn7itBK Wpqwzcoh9kd5fvn8/PLtAz4tfHt+enh7fqHCT18iG9aHqWKGH5hVzAO4RkbQ7wv7V3+paQ+V VoGac3rR3qontcA1TX8PF5kuNb0WXp8+vTw/fBpXFAgUVWFGWekA7YajYgzf60I4017O+apX 8b37+wHdK/7r6/92//ifp0/6X++MvcwrcTDFJq8nfRuMl2i+yfcxF9SjXWxGF8hhUxbOT+1Q YJ0tGlyiLjEmgwN0mWnaBC9RHsNKF6LD2hyu3l4+fHx4+uLv67I2k0XUQmczaDdM2kbAIwrN DqmxRoq4EeJk84MbTxWhyUQuC1ura2AHL56ATncgTGF/dB+b+0NELd96R44X0QV9JVFysI81 9SBR4izw3pNNaUNsq4FYumk+XIpoH1Dz9XRDRHdqkxioYEYvnKijAw5zVxyLGYF1E612dQK5 OLlPPGxXkxKXUFQ0pXXoKn76VXkEFikN74UyH9KmIqGh2JQAxq2ohQyV3bK08QYG4TkvZK8W YFGbB2yWBnrLfiu108zCT+VFjkateUHGz0ESne2mvw34iJ3plWTAmdK52CgZ2RoGBdskKU8p MbdOhssS/JO6ZJrg4WxCjRaM/1HNAG2C/ePx7eH74/kfK8LAQH9sWby9vjGj1HZAOV1MLH8j hAdkf0QJYb+oUAUb17yitGRTOJRwn1KW0SEBWPKCtiWQGRe0MKrUXZHWrJnvxcoczHhfw59V U4LcmlvyeAo72V3D4phMPjq+xdYgFIBcUTemTkTP1bvEaqgoAieUc5fVjqMPj+crLcWY9/wI No6kPWCQIO1kN5bZZXmCjVei4420tgKJ733Mqg7c2mYt7Rp3rOdOEqsOBGKUxPyvEX2P6qlk EjWV4/o3kix83gt8RVC5KbFW4c/G8q277cIs1GMdymqlkKNMZHTl+43p1oa/XNkLyhMbNRjm JYdLFHNaU9IZgEAaWfGGBozKGcZzcjMweLZHVtcVWZzVLX4Bl0fkfV/j4cP3oYE28EZvG1DP V06RYlAnDOhBr+2jKp8oBgTZmVMzzJ7mTtoBuamrEKucZz6zdOaRG1s0SoLk2UDPQbzOm+Pe Q9oNKndgzzNw6PymdD6WvR0+1qE69hTAAy+43lWnsrYPTxMM4sLWbqOF5blyAlK/Q82G2yw9 T1LpOUi6AK4B6knQqCEb6MaCOli3i+EjieASk9rT43HXFDVtS6kw6PSmXvxJIweTMqqtNYIe JKlc0LNGI63lnKp9yrSHbMzIhZ1uxZm00KWYkT71fVmjDx+/nq3Xy1SqXYXW7WlqTR7/AVeJ P+N9rI4K76SA0/QGLt5WXd8XGU+sQ+4eyMimN3Hat6IvnC5QP+oW8s+U1X8mR/yb13SVAGdV R0j4zoLsXRL83WvOMJppyUCoXMyvKTwvUIUkoYHvHl6f1+vlzR/TdxRhU6drc6G6hWoIwfbH 2+e1cRHNa2L/6I/0Sz2iXw9ezz8+PV99pnqKyCKpQLeBO45C4tNYbbrgIhA7DMMZ8toMc6RQ IL1kcWW6e+kvMMIZxr0aQr902Nuksnze+ntwL7aK0q6xAlw8RzSFc6xpIEfR3LTI3zVbWOIb s8QOpNpIQ9W1CV9WbQ/SIIkRDMKYpolIY9gzE8vNbAgNhla6ec0jpxr6f+PR2j8G+aM+ipRS +69rKzejoUWFbtHeMc3i0HHHUmfbStSW78pdPbBzuKZtsXcOK/itQ/NZvDZJqC4br95B0vfp cEg7kE6wmJiCRYdRT13aZzXIUjYwutWJ4NtPPp/vZQGoI6KkIEShLyjGusVDt1Bnr/QLuacN /zUyuy9cphVGcfHZVM2G06ZeXV1U2uK8yOm3GJOorHjhnv4kIbooBquuSVK2L5pKN2O86214 aPCjignrYFW/tfiknbZHsx6NckLOjHdCuLbJHVnI/ujNRsFzGGeSuhAe9a4M1f8uPy6cpQKg FQ3y5OSqK4va3GVdmHdL/XvYqm7RqgHdBORf08lsYSyRkRA9ZIc5GSwC59xA5ZWX3S9MpFsK oHfRL5SxXszCZdzLOg5jL5Y+1rzvGVp34zeGog/XuacmKmHV/udcPY7voJx3HtdIv8aG+diJ TzsgrBDrpN5bs7BxZqX+PWgNDKgfIKcqwrcmjI4g08AVLKkPRXVLn3C5UyH8vZ85vy0duYYE 9meFXPz1zSaXB0Y/7GrylnZ2rYqiRorgl3gj6GINxWT+8Z4IBagkQyK7YTGX6DgCMndJhToF EkrJva2UtS/c1grjuVHtls5P7AqrwCFsTD8/mrwy9Tb6d7s11yAA4LBDWHtbbew8DJq8bwbP 1amIoVwjjBMSeNHrPnLfZsZNPil3gZMCzhAYW+OXklWlaceLQAx1cBiro8fIOkeQ6pCw27Y8 oCxHRylVVE2J4QvCeCVHBOrqL6IRSptcjHhU05QYXT7g668If6F+8pBfpCliFlrULLzeb8rA WjcTSsCPcYvzb2aI7q927WJuhUe0cNfza3oNWkTXlEm2RbI2DWMczCyIWQYx1yHMKliOmd7W wcyC7V+vKEsgh2QRZBxswGp1oUgqXZtFcjP/v8qObLltJPcrrnnarcrMWh4n49kqP7TIlsQR r/CQ7LywFFvjqBIfJcu1k/36BdBNsg80J/uQQwDY9wGgcYQ///09747kFMDpe20SO1On3cTf OEt3JEnqApdadxXo+OwiuBAA5cwQBceyQX35Mx7sTWSPCM1ij7/ky3vPgz/w4N94sDeOQyf+ rlW2s4GFCe24dZFcdZXdEIK1blGZiJADDjhG9hSRxIDNgcoUQd7Itiq44qOqEE0iON+CgeS2 StLUfkvvcUsh08m6MTj/mvsygWbzYQ4HirxNGnuYhgFRsdC9Qpu2WidsCDOk0Aqu4as45YwS 2jzBBW/wewoAomKViTT5pFIx9LYVphbDepxSJtH7u7fj4fTdD8unc8MMjcHfXSU/YhCtjtF1 9nysrOoEuMS8wS+qJF/yV5DWbsvYuyTH+rp4BVK4VElUbC8sLb9jXLaazMzI0p8zmWBel3pY 4HYcCtesL8fC42nTKLYJuHwvJ8ZQRCkabrYXwCuiFl2ZXBgcHD65RKSHR2F8JdPSSk3PoamO 65/+9fr58PSvt9f98fH5fv/zl/23F8v8ZmhSDQuRDww7kDRFVtzyTrUDjShLAa3g4/oOVGkh 4jKg5hiIbkXGvxGMbRYLtCR0kxf4tQHbXADLlNa84+dICVvbdQbSNPgUsXSXzADE1KS5wFdj 3kIm0BO5YY2WtC5gXM7CDBddZ9c/fds93aNr0Dv86/75P0/vvu8ed/Brd/9yeHr3uvtzDwUe 7t+hq+cDbuV3n1/+/Ent7vX++LT/dvZld7zfP6FhzrjLlaXB/vH5iF6ih9Nh9+3w3x1iDden iDSlFK1rIyoYhKTx486yVJgJZCQhECzeaE36LHtgBxQwuX3pAesjixSrYKcvQT2wCpjGKoZ7 CtIgWwSjJQQ/MD06PK6Dz4B7ro7qMTj1cGjUa9Dx+8vp+ezu+bg/ez6eqU1rTAAR4+Og5XJl gS98uBQxC/RJ63WUlCvziHEQ/icrKy+DAfRJKyssyQBjCQ39jNPwYEtEqPHrsvSp12Xpl4C6 HJ/Uiylpwy0OUaPcCOfsh4Oo7cZmUVTLxeziKmtTD5G3KQ/0m07/MLPfNitpBtTV8MaKiNnP fZINaTPKt8/fDnc/f91/P7ujtfpw3L18+W6+fPZzWLOxkRQy9peMjPzmyIgljGvBQCsFdttR ZwHZXA9QW23kxfv3M05C8mgwAkY/FOLt9GX/dDrc7U77+zP5ROMBe/vsP4fTlzPx+vp8dyBU vDvtvD0cRZk/4QB79Fu4AuZKXJyXRXo74zNQD3t6mdQzM1WIg4D/1HnS1bVktr78mGyY8ZNQ OZyQVsBK5dhGHqrIXLz6vZv7kxkt5j6s8XdVxGwFGfnfptXWgxVMHSXXmBumEuAwt5XwT4V8 1Q/9BIofVAMvNjfMkYVJkprWXwr45rTpV9oKcw8EBhqYN0OHpk/fTDA9VsPgTu8GaL2pjQ8P +9eTX1kV/XrBTCyB/TgwJnpicyEaJilVJ5379c1NWKGnKOapWMsLNvSWSeDPt4brPe21qpmd q1TwAczYZmcXszdicAkNCwSD61ix6/RdEXOw98xQZQlsVXIB4QTc/ljO4pkVUlHv/pWYMUUi GFZ2LTm1wkhz8f6DouLKfT+7CCPhy8A3HJgpImNgDTBy88LnNbalKtftJc1YR7OJoc48/zJ1 ux1evtiBAPqz1V9ZAOsahkGT9VA+sxqL7SJhVk6P8NT9Lj6wgDAJRZom/pXZI/7uQ31rwAH2 45QXYVJUF/A9QRy3sAlu1D95nwNtIOSFQRAozGFSmJkF2K+djOXYPbf8hWeVx1/nXD816m9b BsxlaTmb2XC6i0IT0NNMTKdBEi4m4zrfbIsFr8+yCUIroEcHR9cm6H7dCt7IwSHnp1vt6+fH l+P+9dWWdPvZXthBqXvWwzTq0LCrS//ISj9xfaAn9vAQ4fNzf/NXIO0/P57lb4+f90cVGsOV yfXRktdJF5WchBVX82Ufs57BaGbBbaTC8ekVTBKOg0OEB/wjQUleok9pectUiBITRhKZeMBz CHuZ9IeIqzzwPOnQoVwc7jJdFGji7Qjs3w6fj7vj97Pj89vp8MTwaWkyZ28KglfRpcfDabu0 jSSSEAtj4Iw0EkEaFqdOncnPFYl/n1ltHKUkvoxRiJqsaroU7kxG+MBFVWjSdD2bTTY1yIxZ RU010yjB297DgP2IzIbUAx/kFrXaMh+K+jbLJOq3SSeOT/NjEw1k2c5TTVO3c0021HDz/vz3 LpKodk4iNCtSriacbnsd1VcUtx/JsLjBK0Vtgf3xhJEvQNZ9pWBdGJxrd3o77s/uvuzvvh6e HszkPmgx0jVVW2tdf2UZx/v4+vonU2ut8PKmQQe/sfm8pr/IY1HdMrW55cH+wJxl9fBIwdtt /0BP+9rnSY5Vw7DlzaIfqjR4TKA9v6g6MhC1DaMEuQ9wBpkJ8LkYgdOY/t4nHljgPCpvMV1C 5ljxmySpzAPYXKJ9dWK+//eoRZLH8FcFgzVPLAuXqKhiVvbAbN+yy9tsbiUoUA85IvXroOwv hWXs26McMG1stMqJsvImWilTmUouHArUSC+Q9dT+dYnZ6aEM2Dxwk+ZFM7wwDfsx6qIIbjAL NPtgU/gSIzS3aTv7KytOHQm/1tOcjYEdLOe3fLIni4TnFolAVFthe5ErBMxeqNwA8xlZfGBk PE7DMeZrByJDE6XkeHPu87jI7M5rFG9aiFB0jnXhaH2LV7LNqH1Sl4UD5Q0jEcqV7FhKGlC2 HbzNI4E5+ptPCLaOZIIgn8pOi0ZTAISS22WaIBEmu66Boso4WLOCPekhMIBH5EHn0R9MawNR CMYed8tPibFfDcQcEBcsJv2UiQDikoVrntk5KujJR1geExUFUi3SwpI+TCi+RF8FUFDjBMo8 DubRyvpB5p/4WFYJ016S3Jw2Iu1QZWHe4nURJXAIAb8iqsrMIYcHGRyBZjgDBaLsbbZ7BMBj ayAzYTuw5dQDhYC7YNmsHBwi0J8CH5pdpwnKQhTHVdeAWDU3LR8QA+ORCjJ7XUk7MIrOUGST R247S1nBfdEjlFZy/+fu7dsJU3WeDg9vz2+vZ4/qXW533O/gMv7v/t8G443x/jADT6aMqs89 RI26MoU0z0YTDa1AY5RgEjurqMCztk3EOiNGlNApWeYZjtSVYfGBiDIJur728zOHRQuCXGUE 0auX6ZBDqq8GXVfHB2tjwD+ad3BazO1fzBmdp7a3T5R+QvsHY2VXH5FJNsrNysRKKgk/FrFR JMYCwYgCwJhY6x32QL+hN3FtCN49dCkb9KgoFrFgwgPhN5Q31wo+WGMkGTPC08AllBjKw3pe HVCtdnJcpG29cpyGB6IIxNvOzPLcO2FF660wY+sSKJZl0TgwJWUCLwU8ysWwbGvYYr3nt+ZH PXbSfuTvWW+CvhwPT6evlMH4/nH/+uAb+BCruu60c4oNRINTx/AkWlNckG7eJhjk1HxjVJbu wIktU2BQ0+Ep97cgxccWHRovh6WiEkf6JQwUc7Tm1o2LpZVlE1PdYMZZx9PbAlOQEVsOyOYF ikuyqoCOD6WHH8KfDSaOqKU5E8HRHVRMh2/7n0+HRy0pvBLpnYIf/blQdWlFgweDbRK3kXRC Ag7YGthb/k4eSOKtqBYU44xe9zhnCJea17q6VJykW4oVTjZuDmpaN2+sDB/LeI7pgZOy4ey+ FnBjyg7Kzq2Ua2jgVcJFiXF87IjclRQxvaqLgNHPSmKwtFqFjU85vwPVKxAgyXIuS+oMs6QZ y9/BUPO6Ik9v/RFcFBREp80j7dgNx2/nRP21dr+O/2A5h28yEBAxQocd+sGsQdm/q/TavPT6 o6vQitirT5N4//nt4QFNW5Kn19Px7XH/dDKjkIhlQp6rFH/OBw5mNTLHqbk+/2vGUYEompji oI/DZ+oWo6OhVsAehdrdKoPrgEhTZtSUwwYRZBhNZGJ9DyW53nfmJUXn/BoWs1kX/uZ0OMOV Mq9FDiJanjTIIgjzwiScWZgihmOXi36mza4UzRxj3pryq4kkjtIj4T/8+y/qVbJo/FbGycaz yHJIivkfmM/A9UF0qOCk530dFFoClziBHrgqznCWG/vhe+R3FMn0hEdqkkwEwUgWTKxb06HV k9L0xDi8dHqhFy46f3nR31TB+v5he60oQuyiwnLqBoWZDCynSKSo0tt+G9s9QwWPyidZFnAx 19cfLm18Szc18In1+vrqnMUNYXyQ8/F6hRRKccD7rer+reFmoHZcYwa2EHIsye3HGEuICL0p hEkiaavAKI1we8L9g5Gs3PZqKuKS2nydoyFqUSXLgJxgfQSXQCv7PNp4sQR7C7Jiq9JcQEto xdQqq07kdWuZ46pSSMub/YcOe/twVU5w/rGK3u/eG5s2nxzKNZhOZPPkTSPz2jGZVsUhPpTq lr6FQTXnh2Cw/DAFja3pHcuDMeZCxCqCqoC7VziGcMNxrWi2N37BW06uG9SZDbp/mR8pyETw elWqOiJrvzqNCERMZEnRvPUHyJD/Z3Pn2WRoCO9euD2uilpissLNRrm6bCeSOtrk6rgZuNSZ ddrq9QhiWwoskF9njwnzecR2tbUV96GGfR9rlIRzuQ/7xK+ITdaVy0afiU79AUtv77NAyUnV tCZPNAlWQZrJotlFrVFPgPowV+jVrqq1QaFZSkub5JbC0RjXovCvxRGBVmeOakLdhQrrP7yZ 2HoLN8jSZ25wRcKeBx5tvNLj2Fa6Gu1YEBfp23iPh5SzSlYquLJWRQHRWfH88vruLH2++/r2 onjp1e7pwRSpBSbCwtgRltrNAqujflzTCkkKjbYZtVb4rNHigdHAjjA1mnWxaHzksAZRUCat o0lIdXBPSkFi3crzcSCrWOOVVgkbDLvFPuUMqr5t7F5AVLfCzGfEGxhrTkkNA2oYl8uRfxgb PZJRmw0FbIjEHfztRzMhts0Lqo6wotX0clCOVSBx3b+hmGXegqP+gY6bEN+msLY6gGDkL20u Yq4a90DCMVxLWXrPnPZNCddFVvrJzLB/Bofwj9eXwxNaAkPXH99O+7/28J/96e6XX375p/G8 ibHTqFyMTmN4x/eLvio2Zqi08Z4kRCW2qogcJiLUbCLAAQnf7fj818gb6YmKfS4g7zzlybdb helqEArJ3cohqLa1FRdBQamFzsGnwqKUHgBf5+rr2XsXTPqaWmM/uFh1X2nFHJH8PkVCikZF d+lVlMA1noqqA3m77Uu7cFeJpg4OuWI2YZykZDQXesKVNY/mZDjWgwYODg/UWivWzDCTHydj iheqo4VVAq+qr2NV11YkDRfToFe8/h97oO+DGnG4QxapdXvZ8C438+Fq7Zr3zah+HWGkgkI/ qDavpYzhvFDyDcMQKbbKt/qmU+yrkgHud6fdGTL/d2jf4Kkm0VaC4a4RPHGm1FMHDgUSTBze c7zHkB0EGRCZ86gg6czLsmedxoF+uLVGFYwV5o5M/ah+sAFYmUWdSXY+sQHYuWPQz7O9fDUU P6iBm+LgoQWPOBBhjO+Y6pAIWWxScQ7X5sXMqkCvIKtk+bEO3kPUWvKsdcOWjFmYrDHzpKSP mm2sGD2lRanCbYJkCL83XAfxZT+PbpvCODvJis94m/DumbwoVa8NBop4wkE/O42FXpcrnqZ/ X1g4+5JBdtukWeFbl8uZcmRxUiF3hC8wP0IuKq9Ujc5I2oJq0UzHIcGYg7ROkFJrb5xC0HLT fZeDgwTfEHTRDjLSVblI1ZrIvm7R5qpT0d9GIOUPInonoTkIjbAwVD4XbzY044IPkGx3vPI0 gIvZ48e+N7Z7EsMIrKJk9uvvKuOCFrvGO4eyqrOB/UYhj1IHJFrBLAfL37+uPnBnj3NbeAvc v018GqXC049nVhoRNJHW2kXimduS/ypQVjxfBj6gXCw3se2BpLnRdE7vqSEtKwYld3fzaIQC DUYzEEwgMXn9J4VWH57fXPHBTAwKyVkAD/i2f2/0Pw08D+gTjZ4sewOQkecoxUT0JPUp7b2p qzNLpruvxomeMuxTt1/OpPhFZs19Nm3zrcrPUVTW5A1w9T5Hm8w1xdZXgr2UzTfqZv96QgYK ZaUIs6HtHvZGxInWUmMo5bTWmLlgW1+nYPKG9l/n6bpVZ/G4C/CbPSuCr8EFerD/oR78jEMm 44lGimJB51+4PLNJuWxUHgOGjnsTVRFt/WYtRJIqHacjZjhf0E0ZOYb49HEm1rIP68EuJaJK ip6lYFsHFIvWygPo1u+/2Q1H4joqNp5ypxY5gPXxVlqq7cLyWsXfvb4QH1VEhbpgnqckWnwF rtqM/F3Yx2BFBbeJqKSy5Lk+/wsfFgYNRAX3GxqYNEo67Z0tRsl0HTf8I5VSLKDdcQ0nW5gk S3LUqPJh74jC/d7ExcnGdqaZjxwSnBpheaiao13aBN60gAufvaaRW5hM64QD/KwSJD9csq9X 1MuVvEGdOvuuTuxF8EuNV+FTuPOgp6oje8cQfA2IpuDU/4QeLMCdOiORc68QhDRMfUxw2wYC nhD2hl5pw3gMX74AHiNMUaE+gNTRYZqgdw5hk5gPd6LW+XpiE0CXi5LfpoTXGuMwAfH+eKRN 1FHyaQoVEl0AyFAFTmL+5EPD9znar/TWduHSFkmVgUQ+MZAqzDdv1w93QBq7918ldUIm7sZT pbEo5dZgIsaDyfQ6CO28KIsp2wBfBOqFgjKotu8PfKqmjTiniWFSIY6CkRPVFsyKiY1hvZhM nLEyiwTs1/D+J1eMxO8DfInw0IcUVwYvZVMIIUTZemWRXKQnuldFhwQIdFmAut1x1SCWF5tk vLxwNsqC8H8u31YvFzoCAA== --OXfL5xGRrasGEqWY-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============9021178806849780056==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH v2 4/8] iommu/dma: Support granule > PAGE_SIZE in dma_map_sg Date: Sun, 29 Aug 2021 06:33:09 +0800 Message-ID: <202108290618.OUo2tHmn-lkp@intel.com> In-Reply-To: <20210828153642.19396-5-sven@svenpeter.dev> List-Id: --===============9021178806849780056== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Sven, I love your patch! Perhaps something to improve: [auto build test WARNING on iommu/next] [also build test WARNING on v5.14-rc7 next-20210827] [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/Sven-Peter/Support-IOMMU-p= age-sizes-larger-than-the-CPU-page-size/20210828-233909 base: https://git.kernel.org/pub/scm/linux/kernel/git/joro/iommu.git next config: x86_64-randconfig-r004-20210827 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project 4e1a16= 4d7bd53653f79decc121afe784d2fde0a7) 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 # https://github.com/0day-ci/linux/commit/fa978f84667cfd7d8cb467899= da60c08321798a5 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Sven-Peter/Support-IOMMU-page-size= s-larger-than-the-CPU-page-size/20210828-233909 git checkout fa978f84667cfd7d8cb467899da60c08321798a5 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dclang make.cross ARCH= =3Dx86_64 = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): drivers/iommu/dma-iommu.c:935:18: error: implicit declaration of functio= n 'phys_to_page' [-Werror,-Wimplicit-function-declaration] sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_= length, ^ >> drivers/iommu/dma-iommu.c:935:18: warning: incompatible integer to point= er conversion passing 'int' to parameter of type 'struct page *' [-Wint-con= version] sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_= length, ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter = 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ drivers/iommu/dma-iommu.c:982:9: error: implicit declaration of function= 'phys_to_page' [-Werror,-Wimplicit-function-declaration] phys_to_page(sg_phys(s) + sg_dma_add= ress(s)), ^ drivers/iommu/dma-iommu.c:982:9: warning: incompatible integer to pointe= r conversion passing 'int' to parameter of type 'struct page *' [-Wint-conv= ersion] phys_to_page(sg_phys(s) + sg_dma_add= ress(s)), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~= ~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter = 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ drivers/iommu/dma-iommu.c:1068:18: error: implicit declaration of functi= on 'phys_to_page' [-Werror,-Wimplicit-function-declaration] sg_set_page(s, phys_to_page(s_phys - s_iova_off), ^ drivers/iommu/dma-iommu.c:1068:18: warning: incompatible integer to poin= ter conversion passing 'int' to parameter of type 'struct page *' [-Wint-co= nversion] sg_set_page(s, phys_to_page(s_phys - s_iova_off), ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/scatterlist.h:110:69: note: passing argument to parameter = 'page' here static inline void sg_set_page(struct scatterlist *sg, struct page *page, ^ 3 warnings and 3 errors generated. vim +935 drivers/iommu/dma-iommu.c 913 = 914 /* 915 * Prepare a successfully-mapped scatterlist to give back to the cal= ler. 916 * 917 * At this point the segments are already laid out by iommu_dma_map_= sg() to 918 * avoid individually crossing any boundaries, so we merely need to = check a 919 * segment's start address to avoid concatenating across one. 920 */ 921 static int __finalise_sg(struct device *dev, struct scatterlist *sg,= int nents, 922 dma_addr_t dma_addr) 923 { 924 struct scatterlist *s, *cur =3D sg; 925 unsigned long seg_mask =3D dma_get_seg_boundary(dev); 926 unsigned int cur_len =3D 0, max_len =3D dma_get_max_seg_size(dev); 927 int i, count =3D 0; 928 = 929 for_each_sg(sg, s, nents, i) { 930 /* Restore this segment's original unaligned fields first */ 931 unsigned int s_iova_off =3D sg_dma_address(s); 932 unsigned int s_length =3D sg_dma_len(s); 933 unsigned int s_iova_len =3D s->length; 934 = > 935 sg_set_page(s, phys_to_page(sg_phys(s) + s_iova_off), s_length, 936 s_iova_off & ~PAGE_MASK); 937 sg_dma_address(s) =3D DMA_MAPPING_ERROR; 938 sg_dma_len(s) =3D 0; 939 = 940 /* 941 * Now fill in the real DMA data. If... 942 * - there is a valid output segment to append to 943 * - and this segment starts on an IOVA page boundary 944 * - but doesn't fall at a segment boundary 945 * - and wouldn't make the resulting output segment too long 946 */ 947 if (cur_len && !s_iova_off && (dma_addr & seg_mask) && 948 (max_len - cur_len >=3D s_length)) { 949 /* ...then concatenate it with the previous one */ 950 cur_len +=3D s_length; 951 } else { 952 /* Otherwise start the next output segment */ 953 if (i > 0) 954 cur =3D sg_next(cur); 955 cur_len =3D s_length; 956 count++; 957 = 958 sg_dma_address(cur) =3D dma_addr + s_iova_off; 959 } 960 = 961 sg_dma_len(cur) =3D cur_len; 962 dma_addr +=3D s_iova_len; 963 = 964 if (s_length + s_iova_off < s_iova_len) 965 cur_len =3D 0; 966 } 967 return count; 968 } 969 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --===============9021178806849780056== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICHiBKmEAAy5jb25maWcAjDzLdtw2svt8RR9nk1kk1suK596jBUiC3XCTBA2A/dCGpy21PLqj h6clZey/v1UASAIg2E4Wjrqq8K43Cvz1l19n5O31+XH3en+ze3j4Mfu6f9ofdq/729nd/cP+f2cZ n1VczWjG1B9AXNw/vX1///3jZXt5Mfvwx+nFHye/H24uZ8v94Wn/MEufn+7uv75BB/fPT7/8+kvK q5zN2zRtV1RIxqtW0Y26enfzsHv6Ovtrf3gBuhn28sfJ7Lev96//8/49/Pt4fzg8H94/PPz12H47 PP/f/uZ1drE/3Z1eXtz++eX2w/nlh/O7P/95u7+5OT073d3t//x4cXt2d7s/2f35j3fdqPNh2KsT ZypMtmlBqvnVjx6IP3va04sT+K/DEYkN5lUzkAOooz07/3By1sGLbDwewKB5UWRD88Kh88eCyaWk agtWLZ3JDcBWKqJY6uEWMBsiy3bOFZ9EtLxRdaMGvOK8kK1s6poL1QpaiGhbVsGwdISqeFsLnrOC tnnVEqXc1rySSjSp4kIOUCY+t2sunGUlDSsyxUraKpJARxIm4sxvISiBratyDv8AicSmwFG/zuaa Qx9mL/vXt28DjyWCL2nVAovJsnYGrphqabVqiYCdZyVTV+dn0Es/27LGZSgq1ez+Zfb0/Iod90fF U1J0Z/XuXQzcksbdeL2sVpJCOfQLsqLtkoqKFu38mjnTczEJYM7iqOK6JHHM5nqqBZ9CXMQR11I5 TOrPtt8vd6rufoUEOOFj+M318db8OPriGBoXEjnLjOakKZTmCOdsOvCCS1WRkl69++3p+Wk/qBG5 Jt4WyK1csTqNzqDmkm3a8nNDGxolWBOVLtppfCq4lG1JSy62KFgkXUSW0khasMSdFGlAQUco9QET AWNqCpg7cG7RiRJI5ezl7cvLj5fX/eMgSnNaUcFSLbQg54mjAFyUXPB1HMOqTzRVKDMOp4kMUKBz 1qBuJK2yeNN04YoHQjJeElb5MMnKGFG7YFTgarc+tpSsZbwsm/iYJVECjg02BuQa9FacCmctVgSX 1ZY8o/4QORcpzazeYq5xkTURkiJRvN+MJs08l/o090+3s+e74FwGK8XTpeQNDGT4KOPOMPqQXRLN 5z9ijVekYBlRtC2IVG26TYvICWvVvBoYJkDr/uiKVkoeRaJeJlkKAx0nK+H0SPapidKVXLZNjVMO VJeRt7Ru9HSF1IYiMDR/h0YvdtmgrUBL0MmHun8EFyUmImCFl2BrKMiAM2Gwi4trtCmlZv1eOgFY w0p4xtKIjJpWLNOn0LfR0KiOWLD5ArnRrsensRw0mnlvn+o82EMKoPaTyyualdakUr1yHEj0vsDP 2KYg1cAw/Xxt48jKEdNUtWCrfiSe52HbGtwT4KHoOv2ZOIpYUFrWCnaxiivajmDFi6ZSRGwj07M0 DivZRimHNiOwp+860mwLRkW7bHrngA3fq93Lv2evcECzHSzi5XX3+jLb3dw8vz293j99DXgM+Zak ekCjVfoVrBh4bj4aJSayDtQymsO9jrodlhkq+ZSC3QG8msa0q3N3fBQj9EdlfH8lix7Y39gAvVEi bWYyInewrS3gxhvtAeFHSzcgc85ypEehOwpAuCDd1CqeCGoEajIagytBUjqeE+xXUQwKwsFUFKyH pPM0KZirAxGXkwr896vLizGwLSjJr85cRMJ52IEGgYgVZHv1YQg39Lg8TZCLJhfQake8TFz75B+O 7/omrDpzdo4tzR9jiOYtF7yAgagbNBQcOwWdsmC5ujo7GY6cVQqCIZLTgOb03FNtDYQiJrhIF7C9 2t50kihv/rW/fXvYH2Z3+93r22H/osF2hRGspx1t5AShUFOSNiEQQKaeWA06NEFTDaM3VUnqVhVJ mxeNXIyCKljT6dnHoId+nBCbzgVvaukKJHiN6TwqjEmxtA3iTqdGmU06RlCzLC7sFi+yCaff4nOQ uWsqjpEsmjmFLTpGktEVSye8Z0MB7Iz66uhSqMiP4dGuHEGXTMYDgH6O4NPFTD0EGOAPgkodTrJB LnJ+a03tAsDbFwYwaFeWASQ2AFVeWzjSdFlz4B70GMC39XwMIxYYwE4zBxj0XMKCQM+Cc0xjkZXQ imWwG8BtcEjaARWOm69/kxJ6M36oE4SJLIiLARCEwwCxUXA/NQBNxJGamMemmvkBMPy2ce8gLJyj hce/Ix2AsHIw9SW7pujza0biogTx93Y2JJPwRyy/kLVc1AtSgaoQjkVAL0oV4W8waSnVfoZRz6Ez nMp6CTMqiMIpDdjQEpbgaDHkKmcAELsS/eKRw2/OfwTOYdKZGzcYN9u4pK51RlUd/m6rkrkpE0dv 0iKHzRdux1PLSgiEVXnjzapRdBP8BGFxuq+5tzg2r0iRZ770CReg4xMXIBegaL3Ym8WzFYy3DSw3 xkUkWzGYvN1VZ7+g64QIwdyzWSLJtpRjSOsdSQ/VG4NCqdjK40o8c+1m5zEx1gYHLdEwCZhhlQbn sUxLLx8Cwe3n6PqhF5plUY1h+BUm04YhpAbCPNtVqeNxT+ulpyde5kdbbJt6rveHu+fD4+7pZj+j f+2fwKckYMtT9CohFBpcyOiwWmHHB7cewd8cxvHPSzOKiRaCQK1TE7ysCbgIOhYdVG5B4hZQFk0S 6UUWPHH4E1rDEYo57YIql3ebPAd/qCaAdfMdTlyEed0412qlo42Jl63wE7Id8eVF4saUG31l4P12 LYNJGaNmy2jKM5f9Teq61VpWXb3bP9xdXvz+/ePl75cXbkJ2CSaqc5ecBSuSLo0vO8J5+SDN/CV6 aKJCJ9akJK7OPh4jIBtMJkcJupPtOproxyOD7k4vw+SHpx0dYC/grT4RT+v2iRNSsERgpifzTXQv 6hg/YkebCA74ALpt6znwhLNtWnYlVcaLMhEoxAhOFgRDmQ6llQB0JTDTtGjciw2PTnNklMzMhyVU VCb5BpZGssS1PdZVljWFLZ1Aa19cbwwpOjfTIcHsqCaccsAbnQl1NjkHc0eJKLYpJgSpY5jquYk6 CpB/UO4fAkdfkooaxsSNpamRQK3L6sPzzf7l5fkwe/3xzYTHXnTScXVZR8QTRSynRDWCGkfTlWtE bs5IHc1AIbKsdZ7SbTPnRZYzuYi7WFSBLWUT6RXs0fAWOC6imKShGwVnhnxgzfskJfJ40Ra1jIcg SELKoZ9ImNCbZZlDPMvclXawSccdu+9Zwabnc8KKJuZQ8xJ4KQdXt5fNmAncAuuDFwDO4byhbsQO 50AwuTOGmOn5SnWxQjEvEmCndtUxU4enXhoSfrb1KrY6jVisSq+pAYWzQ4REFRCJJxBnLGk+cUqm 18gUluORTEa7bjAzCoJTKOu7DbZqFWfNfruCpFcsxdeRdrkBC/8EZ7vg6AqEk0pF1cOG0Hv5MTqT spYxeSvRozrzOgA7HOf9XpfXzQRfag6rwGgCIwD/2VTIpUtSnE7jjGCha5jyeuszF25ADVrKxJGy KX10fdlWvPZhSqY+ANzFTbqYB8Yfk/orHwJmkpVNqfVGTkpWbJ2UFxJo1oI4qJQOjzNyfqbVXutF TEi/KjfTCtFmNjE2owVNY+lpnAgIvdkhJ6a2YFA3Y+BiO3dTex04BUeQNGKMuF4QvnGvtxY1NYzr uWVZyeLcQYB39dVWLBmgTatsBanAuCZ0DuOcxpF4HzdCde5jiBgAsIAC3Qv/rklzHF6Rt2hvfDgE RRboqW5BBfh5Jla2N/k6DscrwymD5QbAFoDZwILOSbodofpT9MZFBJzj9BD6Rk8ueJHFmpqLzlFI 4gYJj89P96/PBy+z74QgnfhVQdA7ohCk9pXfiCLFbHzM4rmk2kbyteUu68FPzNdf7+llEr3E0ZJm I1lw95qC2JsQ33zzusB/qG/iOyH+6OjekqUgm94Naw8KZXFAGGkcFGqP4FiCgyoyJ1F/QJ+lFOGE teGZIP+gPTufxTImgBXaeYKerAx0XU1M6Y5ULPW0EB4HuBMgf6nY1rHtNV6o9s0MIYm4vj16FPEZ vNZwnd+Cl9fO5FmBElN0rgreDjf06uT77X53e+L8529PjaMZUZt2ANFoQGzDJaYQRKNTVzFzqISj GfEX+shMsWs6Cbcb0S/4ZIIMtwZ9Fa28BoXmr4VMbjxox4wHVk+WJLB5TckCiJFIu+HWzcfYZUm3 Mkap5EafS3j/GaOofuIj95SY2J2klfNNPGuTxy3N4ro9PTmZQp19mESd+6287k4cu3d9depx2ZJu aMx50nAMTkMpwNjKIOtGzDGxsXW30qAki1+RpILIRZs10ciqXmwlQ3sGQgx++cn3UysSfSykMylW MocQSTMPpoAxI3esX4jT5xX0e+Z1a++OOzaCCJ67NXxG+kLd680gJNnwqojLa0g5eXGelhlGfWie i5gs84zlMNdMjXPGOnNQsBWt8UrMM0BH4t7RGZMsawMla5Iqixq3ClMrJiLHTev1pTHMz//dH2Zg 6HZf94/7p1c9EklrNnv+hiWrfpRtEgox5rXZCNqHXp5Sd5IVsUMvW1lQ6igMgKCojqFrsqS6bicO tfWMp67UePh5TH5qL3ldl5MxL6DSwktMrj8b3wGURM5SRocKkUnD1cXMuMluFBX+6hhQCxGsjPNl U4cHzOYLZUvasEmdpUEnwHIK7JKZpHaHpJP3G6wu0uplz6OxuemrTkU7kmmNyussumK9jtorpUGQ oKuWr6gQLKNuesrvFJSTLQWb6pqEy02IAou9DaGNUm4MooErGJsHsJxUo1mosNDG2zLgqqnJ6ahN UOAQKYNxhlDLuKiTaObdKPnI0UyHZmQ+BwOPCn9qcmoBficpgr7TRkLU3WYSlJW2J8OF5KBszKag q9HUc0GycIIhLsJk0xtapwyz9/GrajNHDoEj6NvJpS24qosGU1hhXGW4OIlnYkzbift+d3dKqhb8 CJmgWYOVj1jguUZfa9LEaHL4a7pOVTN5TVlgMnq4vTf0e0TEEZatVfwm38jcRkHIeHT34e+JZFaN tpnXwHpxRW/ljgeRMajVLrzvSsJm+WH/n7f9082P2cvN7sHEioPFtZI1VU8Vad13zG4f9s47DOgp rDPsYO2cr8DFyLIoq3lUJdWvIeJdKBr3OT2iLpsX5QSD6jJ/rpvQr8jJ3GqXFwmj2/Nzg28KGt9e OsDsNxDK2f715o9/OAE7yKkJ8DzbCdCyND9i9hPQQQYWQWmVnJ3APnxumFhGt4pJAko8znSIy0qC SZQYy0E4WSU+v+EFvle9NbFYsxH3T7vDjxl9fHvYjRwinWrrI/zJyGJzfhY9i3HfuvP8/vD4391h P8sO93+Zm9ohGMli7lfORKlVjfH2vES+TLHWO8ljSiZft2luKxqcexwH2nm3zlUa5/OC9kOOEJi2 0Zkq5cflFo01WbyS/Ciq72REs6qzTk2o/dfDbnbXbdat3iy3ZG2CoEOPttlTsUs3948J8QZCkmvi 17SiOVxtPpyeeSC5IKdtxULY2YfLEKpq0sjeF++ujXeHm3/dv+5v0Nv//Xb/DeaLgjo45F6EFtQi 6JjOh3UJc/BOgwDQ3OBF+fYTBH6g/RIaU0nm1ZX29TGVkivvRsAUUfcOcVPpYA7rqlL0TwIfFjPq WCipWNUm9mmJ2xGDtWAEE7lzXYY3kAaKF3ExBK/jcNsNxkh5rIwobyqTqwCHFX2y2FsOIPNKeIZn JrrHBXjvARJ1FvoybN7wJnJVLWH/tXkwLygioX0OTjyGlrZ4bEwgaZfimkDaFF052nQzc/PkzFQi tOsFA8PCRvdReI0s+8hcPyUwLaJ0FTe1DeF4ssRA2b4gCw8IHAoQtCozd8SWjVDhh3SSfp46O3zt NtlwsW4TWKupCwxwJdsA6w5oqacTEOmKROC7RlSwRDgVr14pLO6JsAo6ixii6lJJcwWuW8Q6iYzf 1ekIu0WYtokd6SDVx7FusZQlK8umhZAC4gbr4WPxahSNNdIxEst6RlRMsbK9CgsmY6HmymQCl/HG My/DKiRNsYjkCMoWcgwUoyYjwiEHYjHm9nAqU+AMiedRAPME8xmVOwwjeJif5hEKxcPXuxMEINDu vRrCMakV26g1Q1rLTPriPuQ4VF0QLGj1tvQKvaNoTOPq3gK6iTcboQ049l7DSClHKWiyKLgMwZ1i rnQyHGwUlr9gBu3v0kWGMtwNeKyVCxM1utZGI2Ey6AyIOOvyXCtltR2tI+suNmgK2sXJewCqwQQR 2lGsFUXJjWwf3TCFFk4/FowcBA6NOCDh6yok6a2GHqHL4saW4BWEhT4BziFqzvxWQ43ZICrdG72x 3YUFM/OmoS9tGyhs5ODrfFtjdn6WMHOzHFsInmK4DTHY0GLIbi/NlJHnqfvyJE4wcUeljbQCV0B1 73jF2qlKO4IKmxsWiTaPoYYV4UMziHBsNt+3zGit3HrO0K+zdbPdRd5Y/XUe5DRm9Nre2LrRQ7KR pE1VkfuK0Za4gjh3ta0RbkdX2jJM76enfPX7l93L/nb2b1MD++3wfHf/4N1oI5E9nEjHGtt9MSB4 HRjioqHjsTl4u4XffMB0GKuiJao/iTV6zgVOwdJx1wzoomqJdcHOXaNRRu5yLIfp58Dt+NmiT9VU xyg69/BYD1Kk/XcIwr0LKKM5CovEExfoLFoLGTbu8fhK49goPeHEw4yQLHyrHxIiq67xuY1EU9k/ n2lZqZk6viId4OCt7uLq3fuXL/dP7x+fb4FhvuzfDQOAQijhAMCOZKCftuVEX9rY6MeC4ZVE4leM 4asXnXwQ9LNfMta9h0nkPAo0T/kDOOa15oKp6Lsai2rV6Yl7WB3BNRxifFf1QzB7gadrBmIOFxKt k2ABAGjLz+FkTKlfOAfcUl6TWCiNaKPmOk3pWbgous3tJVunkerd4fUeJXamfnzbu6X9BEJEE/9k K3yS45WEEFBu1UATz/qyTZzC4rFOtMc7mq5kc+Ihhh4VEewno5Yk/RmFzLj8CU2RlT+hkPOJmVg8 WGXhboBjP5sqBl4SUU6sm+Y/WzV+SOPy40+IHG6NUXVp3oAjXH4qP2Pa1ecxgKErzrgP1lej5ssY fHgC6jAYtGPcFPlm4Nb55tpBLreJG3B14CT/7Folf5AhUVadDk2bysqDrCFCQYMxclSHO1bFMSkh ynVAgc6y/uZIprsJrpRDErGOEZjv/lT6IrMgdY36mGSZ1uJaJ8ccsu71UJvQHP+HMbv/7QyH1hQe rAV07m6efTXanQz9vr95e919edjrL1TNdOHaq3NGCavyUqEzM/RhPRvXJ4bZYNqg//AAuvqjF8i2 L5kKVnupf4sI34E6vducRH/YU/PWiyr3j8+HH7NyuKcYpT+P1nANBWAlqRoSw8SIIWQV1I0HBtTK VlKE9WYjijADhZ8Umbt20s6YSV6E+WQ8e1vHZansbabngniYWHq2LiCwqZV20XV96kVsBEuG9Y/K lyI7QoLOhq/ELMh4xOmE1hyQQ5c6ahYU5dKL3sFOiCO70AfcEbpUZ0/bwHnHEiIth60Kn1yZEniO AaGfuHJSdkNyXMbqMjvh0KxgPtGSiauLk39eerOffhnh7/AIvljXHBijsllmd0KxPMRUdsgkW9Wi bv2MuvfCaOmIQFpQcA8wp+XqGdhgv33qfnULfoTvL3qQe5+EwOCKCUH4Rkpe/enxtZMBiRq/a5xO ZNHXNeeOjF8njefoXJ/nvIg7gNfSvGyMdNrfm+Cbpu4ewu1Wp+c1d3Zprqnz0C/LdMbQmC4vedJT 1PpdWiR9hEj0YfWlgZdS6KBjyLn75bQS9CDD24sgl1HnodyBQZLmgzpA0OYFmcfsXm3LNt3ia13A H37+pNvKpm7V+C1Lt2id1XKVdGntqeYEsEJF7VmhJc49yA5Lmgqq/p+zZ1tu3Eb2/XyFah9O7Vbt VCzqYulhHsCLJIx5M0FJ9LywHFtJXHFsl+3ZZP9+uwGQBMCGtOekaiaj7gZA3BqNvqGLRNZnjP8Y GXZEf6/PT59/vr7/Dlfo8WED/OwmsW3dEgJfyKhZBynF0KjgLzgzLT8zCXNLD5s99cQLbapMCg0k FpMdwMzQJWNgBpheipwgntu946UKisc8VbTZveyvFK2MVKAuTkBU5mb2Mvm7jXdR6TSGYDT40ndp TVCxisZjv3npuYgr5BbFmyTbN8RnKoq23ue5HRAB4hqcMsUN9xhJVcFDTbvbIHZT7M/hhmY9zg1I x+igLomD278fyUs8iT2zPXTXBOKCdEB1VHZgu/p9XPoXsKSo2PECBWJhXkRdFfSyxdbhn9t+tRHd 6WmifWgqBLvDusN//dvDj5+fHv5m157FC1oVBDO7tJfpYanXOiohaS8qSaQyXWBsQxt71FnY++W5 qV2endslMbn2N2S8XPqxzpo1UYLXo14DrF1W1NhLdB6D2N9ixF19Vyaj0mqlnflU5DRlqhOfenaC JJSj78eLZLts0+Ol9iTZLmN0xho1zWV6viKYg5F3xCDJlLCwfMUw0R6eVhnzeDt1NCDJSusEHKpZ 6QgXJrEyUtLqrfIMEnhPHHm+k2P2Iw83rjxJj2pfElBW05GcaeBpIax4vKXnWTINQWdVOqQsb1dX wZROvxEnEZSmvySN6OytrGYpPUtNsKCrYiWdq6LcFb7ml2lxLBmt7+FJkmCfFnSKVxwPf56qOKLS Y8Q5OjHA9fMAV54/zMtdDbdl5LRkZUWZ5Adx5HVEc60DIV5Y+wUTNnuPg6z0nIEqgxPd5E74BSH1 pSBPeynSGQiaAtm5j+q2qv0N5JGb0q+73aicV0hTVp5cOAZNlDIhyNA6eYY2eF+9a+08PeFt6oit k8/Tx6fjKCu/4KZ2kiDae6kq4Agscu74GvQi9Kh6B2GKy8bEsKxisa/vnqUeety+NzAIlY+3bDD/ DjF2R14lqXI3GxrebHErTU1yNV4d4uV0evyYfL5Ofj5BP1E59YiKqQkcFpLA0HxqCN558CKzw3Ql 6mZnRJ9UmxtOevXi2K+tmzn+HpSw1iQBojkzh2siv5ox2NyTuS0pd3AdpZlVvvHkcxZwFrmuxaY0 vKFx1FnacSPMcGJrHrYYYJ9YeaDkjkZ9VmYajZQvhnX3R5VKoRibhiT1DrO7dyyo2zfx6V9PD6aT bb900VWBC+NOPf4FZ02ImzuzlFkSgy7NVAHlQwoCpOnHKFE54V9jaejdHzq7s30Dj7jUrvn8pBHP REmfxIiEm7gXiQmjialDjPTadr/EH0KF8R313vTIxgwYEUcznVQ4WYmwkZxZ2bBwcCOW2RDUXuJe 1+EJ7sfwgubuiIM59HxmyYApO+1ozzl73NC/BFa3DFX1j2445A84T4SOcecpjBR79Ld3ZEkV4F/G 0tKxMWpBDdx6AMsgDfqsNYgi9JIfN22SiF3ZJ/lF6ofXl8/312fMIProbjmk39Tw99QMgEUoJqEf pYftEUNaWr2jP55+fTmiTze2GL3CP8SPt7fX90/TL/wcmTI+vP4MH/j0jOiTt5ozVOpMuX88Yf4A iR56jzmou7rMGYtYnOSm0ciEyu56UJjg5wxqXLT9dh1MEwLUkQ7hJRe70Nsb6RnuZz95eXx7fXr5 NKUTuZfzWHrV0kZMs2Bf1cefT58Pv11cT+KoJcA6sdLWna/COB6b1I056WuPWGVxhizizP0tfV3a iJtabyimbA+6M18e7t8fJz+/Pz3+auezusPsKDQTiJfXwZq+KayCqzV9jalYyR1pbAg5eHrQh+Ck cNWebN/wlDO0BZk2k73y+1J6WQ9Yu5sYz0oc6qy0fSM6GAige3cNaBKQrvKYpU7wdTcYlWqxj3+R GZe78e0DPJ5fYR2/D73aHOXkWDbVDiRFihgzKBuHdFNXbIh4Gfo0lJK+1+54kGjTeWNE17kBmYOE 4TgoHpFbxO1jL/2qZPUH0/Lazan0IKJxDtSYKHRsiSt+8OgSNEFyqDz6G0WANgBdDdxA0TuXmtWs vS2E/frAoGTAGpi0o+t6pHMTJVdqtPOOQSdiDlmkZKy551kPRB/2KSbJC2En1NwU1Kpka9lq1O+W m+m+NUyY/qcadpyOQFlmemB09ZkPZQz1teyQGXKQNA2hY7FcvBtzHSJqIw+EzjvW9gMcM4A+BvBR Csmmw0fR1KYBSnC8D+Cc2VbVHdeA4YKvQF7RsMMj8x4OditIr/sag0sXcKvw+MlvczPYCH+1sA0t O5MEZpg6nUIIXm1ozD5sRojMzpoMP+WSEyOmO/jmvN2/f9juNDX6eV9L5x7h1mZ6/nh8IIGq2IwJ DDSsDxmd17VAoFRUkHQAkG4BX6Z2C1YVMrxLugd7VFDjEuj/PY6JHjkudYMjx2wP/wSJCz2DVH7Z +v3+5UOFTU7S+3+PRjFMb4AbOT10PBQ3Zn60fPSrrQy3IW7jq01sFxdiE1vB5iJDAv80FaVvimyT O0J6Xy/Y3Epj1Z1xFct+qorsp83z/QcINL89vY2lIbl2Ntyu8lsSJ5HD9BC+xevYGAzlUS8oLRtF Pl6agM4Lj3G+IwjhfL5Da6/zflSHTw38mWq2SZEltRnThhhkiiHLb9ojj+tdO3UbcPCBpwGHbH62 kdWFRqbL/66VWUANB5+eGQQejOeHz8lqVp5q4K5G1IHR4/gi4Xj2s9h6D62Dg4DGxtB9zVOHu7DM /bzKk+FRcsFQJJ5rwZk1r65v929vqJXUQKm/k1T3D5hTx9kYBZ5fTedx4DAMdCbKRrtRAYeoAALX 5UVa2XmRTJI0yb+SCFwZcmF8Dewx6QgKWs1gkmxLzCsYx9S5KHlMGLXbprE/Hqb4etlUxWiieLRr nMkysIkIA6JQdLO6mp8pJqIwQAcTsXNL5kn9eXr2FEvn86ut8+GWfkwB9JXMHhx1MWN5kd/BjcPH f1UGhUMFHK1yqoX7dLeOOy3AhcWmnlY5Pf/yBW+b908vp8cJVKVFGZpZl1m0WEydpiUM81xvuNt7 hepcsawux6xmcox9nCjalcHsJlgsR7wMMPNVupxTycrk/Ik6WDibXKSVqZtTK3IEgj8uDH63dVFj RjHUoJsOdRoLErjQnlPTIUCsP9UDJX4pPdDTx+9fipcvEc6DT80rR6eItrPhO0JMr4uvdbbZ1+l8 DK2/zoeJvzynyjoD11e7UYQ4EfqSHecJYtxp0GB8HxVjvY8VJzNamqSm8EygfU42Jk3QoBCwhXH3 iZHs2OrPVXLI/Z8/gcB2//wMGxcRk18Udx6URsQoxAnmBhht/wHV0npGlyquyToinya1p8gaTts5 egpkpOe+YPwKh9G8o9HrMQzWsp1qqkfprN7bbHRtyJ4+HuwxBBHTVY329eBf1qOQPQaWRrEj4DEX N0VuPzdJIJV0aMaT/Be00ivePu1oUvQ8PF9lGNZyE7ijhzdiufDccUuiCPbsr7BLx5rXvgEgIpoF KOoRdyzLnLfmPCQwJRfWk6YPXRt65xRPfGxvcEVWIruUlniy/6/6fzCBc23yh/J0fBynjJGHZumI An2ll6v6H3eQ3VNRA2XExFy6tthPHZs04og+Y8JNIuchwWjkg/SS95gc3XI3SUJdHZBEbSylhxku aSbCw2wcGnK/70M+ArTH1MiV7JxokiBMQp2xMLhycRg2MJI8EbFN90k44pmyutTJRmdRyPT6tEI7 ro3FX1jpVgt8j5LXntegAQvCRV1baR4AqDymSdRNEX6zAKMwXoB1DMOEWVow+J2bWqhio1+jTWL7 5QmFQE8XC6Zidty0KEY6xVLGn9nPo/gAbWk/yqOhSj9E6Tf7Yu2GbwqqPgwgwPdRqXrx06Qge6Zq 1qxW1+vluGoQneZjaF7oTnRw02lXeuxK7W0Gc6LTjHaPc3y+Prw+m5aXvLRTWeoQTLMjXVRmvk9T /EHbORgmh6TdRHR5NHUJgeIkL2dBQ2fv7YjTovD4mmmCuAr9IaLycy/gRUM/edDhHWFqUGHGcEdC N50oPnjSCtZMrlj0ZCAmHS3oSt1lWtAHR7UBjWYHJ4Hr4L0lPU+889H34sIoVMKeCCUEH7LEMKHq Igh1BOF+rA+Z/fYvkio3UVbTrmCSZHfMyIgkidywsFLZxi1oNGrIcd60UKza2p7yBhhdBgSwfI/L t0HorkaChPquDuNdzCbZyAW1EyPMyegly7Gmn8WLYNG0cWn6qxhA285hIixjR7zPsjvNvQdTZZhh ziePnyTLa1JrUPNN5iwYCbpuGuO2DFO8ngVifmXAQA5PC4HPXuAhwa3nJndly1MzE2wZi/XqKmCp pebkIg3WV1cz4rsUKjBcF0SSiwJf1gbMYkEgwt30+pqAy8bXV2Y2jixazhaGui8W0+XK+H3Qps8+ WE/D8fSFnoLEWc4Gx5iuPesCHh/bBjUFkqUanN8w0I8McWgYzptWxBsyKTkGgrZVLRqzTBTgcTOW 0JMS1UQfho9FN28SAwwwmBNtDNiF2YoGj3Px2/iMNcvV9cJYJAq+nkXNkoA2zXxJNMPjul2td2Ui POnjFVmSTK+u5uSGdLpvDFd4Pb2SC340ZPXpr/uPCX/5+Hz/8Yd8dO/jt/v30+PkE+0iWM/kGS8R j7C1n97wn+aw1qi2Jb/l/1GvIU3rRZxyMUPuQIw9Q290+fZDaYWeqMcBOAFqzXDcAVo3JHgXR+Vo axwy291pm+THW0qLkkQ7S+SSi5ilESZjoxUR3Sq3VZA7FrKctcwA4QO85tY6lCy3dTQaJG3ANGPU BM6nDKpIk40rvSN6KGut1OjuK3NzZIVxg68Yj1uU2Q3uiFT2Lx1uOMw6wjD3tPPG1fAFummVyv7v sHR+/+fk8/7t9M9JFH+Bpf8Pc2324hTlEB3tKoW0Y8+7ImSi3q6IGabawaLdqCf9UUG7oyBJhNpA jLClbotIkBbbraMwkHARoXs9Oi/QA1V3m+zDmSZp7tcTY1e5iRTC/7UqA+yIyKoeE5mO513CUx7C /8ZdkUWoO0iPli56wnYkUciqpD66U6w6I+GM7LF7asY4mRFDC20KJ43PXQiyM5fNNpwpsjMTDkTz S0Rh3gRnaMIkOIPUK3gGBzH8J3eib2h3pelbLEFQbN2Y1pwOqmbOBDLbd03Bdmx6Pb9yoSzCz3Ch PLq2mtIA9E6Qnqn6nUHzHVBNgTf0Wj282Wbi68J63KQjUjdNFf1PnR8WGT7QPGgVh3akZ1hd36nX lYkerN0erC/2YO3pgUNifv+4Cd9nr+nPthcYEK7nnmuuYuYHmO9z6H1GKrgkUy9RoC/csUItr7gb LaIqsp6cU4wTGg+sFAoZSGDyTMmToxOD4lK4b5T1iPEKzsp6RkIDZDoyCGNr2YjMUufwAVUrn2Vu R0XGqrq8dY/F/UbsIne7KKAtHXQIELsjYFs0UpYa6Rr7ohHGcBl4e6bNyolnRF1SKw/X0ARmm3IX xA79P0oHGO4FnHimDk8dTWh37FLqOkvxrvI86Kyx1FGlpbnyoGUSS8OhWtTqD3/VIueUWKrlmmY2 XU/dKdyoYAsaSkwecHk+6jAnvX0UCl/mcscZgMxyhldSVulyfp65q4N/52WblOV0SSEE+n5GdTX6 QFEnZziLuMsWs2gFXIpynNE9HFcKMOVyeEY6ARL3kSmb4lauLdRc0i9qaSJ26XwWPIPrlHfyo9l6 8ZfL57DX6+u5Az7G19N1M+qtPwZLTV4WnTvWy2x1ZaosJNDNyWXJQISXQ+fhAAf6IqDnU5Po9XuO RA38OQq1LBaeV9DUoNB2Lupm0h+ItbnKUS3hhDAgqJahV/bTgQA+JFVYYCZcTHbiVabKZJSUdAE4 rb4eeoHA72URe7iKVJvY61ddZ4xwiT+fPn8D7MsXsdlMXu4/n/51mjy9fJ7ef7l/sC7msja2o+1Q HY44FyQ4Sg7MAd0WFb91BhNYSzRdBo0DloKhLOUgBE8DYwdIkHyTT91boEcPblcffnx8vv4xgYui 1c1u/mK4s1g5a2Q7t8J6qlm13czdGQ4zWa0z2iUvvry+PP/b/R4zgwsUBhFvOb9yw58kCo56TiUH kchcrK7n0ytnDaIzpAMitqQEn3vMW1JU3/EJvVG/Ov/sX+6fn3++f/h98tPk+fTr/QNp6ZUVnXmC knzWVWuLHbVqlLW885Yd1EYAxay0pEcEIkv3ZEYgxj5QpwYqseUj3WOdur7RSTjZk81eOKnHVJLC JEkm09l6Pvn75un9dIQ//6DUihteJRgfTHxVh0J3VvVYRpeb8FzdxhizCASeAp9OlPEH1LGfJ7W6 YjjxrZHzenhY5LEv74NUq5MY/PrtnlU0v0pu5UMmZxIIeSJ/ZSqYxGPDgl5j8gUSx0sv6tD4MOjD dPCY/0AI3Me0wLD1+TaxSCTefkXq1RkaXYd6vkh0vae/H+DtQc5pVQjReio/0AY9bYpDC7eRnSFP M18u1B1vfakl4KrmoLqFgG81WEZ0/NwDSM9F1c4i258zSWc061JyAMgA13R6ioFgRQetHYrKJ3nW d+WuoM15w5eymJVdhF/XZQWSPrgbepebFWwTe9cl9XQ29aWJ6gqlLEInJEd/mPIIZvtS0TpxEuJG iXMrGVBKXV6Tj6WalWbsu2n7sVB2zt8sXk2nU9eUbEwYlHXfq7InM88i37bF57aaLRmOZX4S8KC8 to9JdutJJmmWqyK6i7iUC0cWTH0JXdKpF0HvUsT4pufCOgmrgsXOXgrn9FYJowy5Hr2NUblIIiLf 0qn5tsjpXYuVeS578rlQ10hnFqRYid3hyHn2McwpLbFRZvCTNPk1lbjGKnTge2tc690+xxhKaSKh PeRNksNlktDzIrRJU3loUn67d0NuiV7sklTYbj4a1Nb0Mu3R9NT2aHqNDWi7+8SX8aqy4/cisVr/ Rd2frVIisnrjcjaiiMwIa/GCbQJ3O96fUHRPGswDQeNi+sQzGo3tE0Olw0s56ZNhlNLpQ4aG0oD2 lhGwQDzpGYz68OXAxNIjhElw8duT79pHdxhkCWnzEtWbORxoGQZFu7xkXNNm/43Xwnq5stMOZIdv 09UF5qae5CM58m7PjqY110DxVbAwte8mCs24Vsem5FPpiX4o3aK78uSF29KKRoB7OABvfEXck23A zL2tX1j9GUcBsdhY159v2YWFk7HqkNivhmSHzJduSdx4cqmJmzvqYmY2BK2wvLDWaJY289aTjQhw i5HDgokVx7PozfHycNlL5EasVguaVSoUVEtHYd6I76vVvPFY9t05Gu25PApW35a05guQTTAHLI2G Ib2ezy7sLrUykozeRdldZfsAw+/plWeeNwlL8wvN5azWjQ1cUYHoa5FYzVbBhdMA/olOrJawKwLP Kj00ZDpru7qqyIuMZjm5/e0c5NDk/8YOV7P1FcELWeM7g/IkuBl7Y9ilS8/1y/zyAwgK1gEo9ZMx fTk0ChY3Vp/xXeoL7EYnLU7yLc/tZ3p2cIWANU525S7BlBEbfkE8L5Nc4AtXlianuCgA3Ha2o77Q bcpmjcfQeZt6JV6oEy1BPvQtmTvW/JA9uvpkllB5G7FrOFvQAYOuVOP3zCMy30bo/OXLNVplF1dH ZYeVV8srMiLPLJHgtdESVJhHL7KaztaeDKCIqgt6r1ar6XJ96SPyxLKnmjjME1mRKMEykJ1szxk8 dj2uz2bJxHz800QUKas28Me6YQiPmgvgmKElunQXFTy1I7hEtA6uZlTMtlXK9kDhYu0znnAxXV+Y aJGJiGBYIovW08iTCSgpeTT1tQn1radTz9UQkfNLLF8UEaYpaGi1kqjlqWYNQZ3hYz+Xp3ef2+yq LO+yhNFHOy6hxONtj7k2c8+hxvcXPuIuL0phZ75HO3uTbp0dPi5bJ7t9bSvHJeRCKbsEZl4DEQoz AwtP7uHa0c2M6zzYhw38bKsdzz0qSo5GtRSmtaZ8aY1qj/x7bqvxFaQ9LnwLrieYkXK+UbnyNraM /sr/GFlryj1JoTUNa7ifBWuaNIX5uDiJDa8cbY7ec4gIStr5ZhPHnox6vPQcKzLbZehahIZGd3e+ xJ1KQkbZd71eZHQOMbwpaCcnE6+TkolxbLqRPG2ENb4q9WTgL0uPed8pIFvavX58fvl4ejxN9iLs XUeR6nR61NlYEdPlpWWP92+fp/exf+tRMWjj16AzztT5SOHqnX1w7s7Y9QG7GEmAZKWZmWnfRBka QgLb6VMIVHdZ9qAqwa17EprQmWd6Ki6yBeVgb1Y63DkpZAISrHdMzQsUga6Y1qtQuF6WoZCma7KJ ML0FTHjtof9+F5uiiomSquokzyk3i4rdRfSWP7KxcRIths+nj48JIE1j5PHoKtP1ZrMKdN8mJVxp j/IGe2n02WCvDC81tApRa4VaTyI32Htzr7VJNS045W4mbYtDct7hiiBiT2rjwzgInr+8/fj0urTz vNzbhmQEtGkSU0YZhdxsMGI0tcJNFUa97HVjReEqTMbwWUCN6fNTPd/DvPX+Dh//oezLltxGlix/ Ja0f2u61sZrCDnDM6iEIgCSU2IQASaReYFlSVlVap5SylNRdNV8/4RFYYvEANQ9a6Ocg9sVjc9eS BTYOaS6eQqJysK18HqwoZeM6q9zhN9fxgm3Ow29xlKiUd82D9gpTyPOL7WRzxrWxT6oFm2UN8eV9 /rBvxF3jdctlkrERuA1DD5/cVFKCP6rUSNhiZKX093s8Ge971wlvpAI48U2O51q2ghZONpm/76IE dxywMMv7e8sjy4WiW6XAGdxmvMUs20LsUxIFLu4qRCYlgXujKkSvuJG3KvE9fNxROP4NTkWG2A/x I+WVZBmdV0LbuZ5l83Dm1Pm1t5y7LxzwjADbmjeimxa3N0h9cyVXgt/tWFnn+mYjKd7TyHLOt6ac jWH4UZFU9z7rYDfC6Stv7JtzerK5n1qZ1zJw/BudZehv5i4lLVuq3kjWPsVXgWsL6MHJKbpFJY2t 66DMf7KRWrXYNgtHUlrWACtl/2Dz7zwzYD+M/WtRmlceW42Sti8sjRzhsTW8zTr8yk4fuAVapEBW Dnd3N9/sNtC8BJUpPW1hIikYA8y+5aVmvmiNmbexAtc+VtoBfMNBPJvZuFS22sWTt1j81GIkbVvm PGUbyWJNMdxZbskIRvpAWuyoXKBQctOTa+27GbE8udRIaM4udBgGxY4fF8MkYhTC0prQxKwwLNLs igVTSMA/1r2143FfUKrpXy6BcOHKTGpxrCWzipatHW6xTqRmCrbFDd9Ku9+zH7dIbX4k1NLFJppo RGyFwBZ9eGuY8g/tSSh0Gyzd3660s1wE+NPh0+PbJ24yuvi1udMfG05GR+b1rWkVRWPwn2OROIGn C9nfk7mUdcHPgbRPvNRyFZ8TmN4tNDZVmhZi3FWkZbFHpB25mvFOl6kYHd+NELFQr9JcNKiBdOmI REhaLBlCCVMnizOH0BQcSZWbd2+m1SBWbcvdVGxVJNaYfz2+PX6E/RHDvkPfPyjbgFiewUnlLhnb Xn4CJm4YW4Ws1Z3ZxOCFi72jkruHAyvbYOZ8XjLRp7fnxxfTAuLUQbgNoVRxuS6AxFMNKizCMcvZ 1MUtEUt2ahGeMG+jVPwMuVEYOmS8ECaqLVaWZf4B9lqwQUwmpeJ+qSUxyoV7CcgH0tmSaZnzZUrF FoIVeotKZtUdP7qSPETLaMcqsqjyhYJGlA+wCWFZZshEQltwP3zRz8qwmryyfm3LfHa9GVXXewl6 fUUmMV3N0kCqIkMiB8vayD1+YeHm9csv8CmT8FbNNy2Rm+dTUGz54ltPYWSK5SxGUKAg9b1vlaHe 6peEUpvUQ31nscsywbQ4FJab2RMDVLwCd8E3h5Gm9WDZE54ZblTQ2PbaVZCYShX525RpzH/Xk6P1 iFal3qJN5wUtvclkU8UW3LX2eYjBB8pKsr0VB2cV9aHMh1vUFM7luFuI4likbCjGnwDMzY8NHx9c H9+qmCuptTwymBsCa5tmqhb7qcrwr7XRKu27ctY/9XBrYX8hs71xqMejpQ3XzYfGdqMFrJH16CHX 6TI7m1j7EsgUk3QgGPLaECBeraZs8E3aszkEcScckH2WGl2DWl6HY3MOB+RElq0597StthE4vTZI Nx5BFGyJDHpyVlpdiVb76URJnD4cCHr58XRlqlmdqUdoi5B7O2XKUZVj+8crTTv6WAHtrvsK7EmA Hs2vjIvswUcW6/74VixllYS6fF8pQ9Ge2KAiadRsqViI457puI1b8vuIqGlrq3+oU755aJn14eEe +O0MbMeFKwG9OsIWGV6gnK0W7ew9Ee261kRLi8ErsUwS4OAerd/6otqkyi964z+16GUZ1jCP6SmH l2TQfpTukrI/Fp93rA2lusXMCWJjfPkAvki4a841TbPclMxmM2fHWWbRzOuyqaV3Z3Bs1p7XoBQE LJYsPorEnjtb3JsHHooJthQslbIlfsPU4GMhq84g5RtebKpoVLFuxZ7LToyqnFQwYcUPJ4TBuB8v 35+/vjz9zTII6eKGthFtBz4j3V6sg1igZZnX6C2/KXxjwF/lmud2g1H2aeA7Fo/XE6dNyS4M8P1e lfP3RhrboobR2SgcMOChCrm/eTu/Koe0LTO53WwWrJrYyZsUrKosiZ13epbmQ17+fH17/v7X529K C2Kaz7HZa16/J3GbYu8EVpTIqdfiWOJdlq7gw2dtJtMAeMfSyeR/vX77jjt10xJVuKFFLVnwCD89 WPABteIHaJXFqin8VTrSIElwlW0iwcOqLXysWuy+Nd+6SxxXj5Ytmi3u4TlY4doegPCUGTvPB6zm l0s9PbJJzDK5U8+nZA6/qMo641n/mhY0DHf2WmF45GNzzwTuokHtH8p0PAlafnOMNwjupNLSQmiq anjr6PnPt+9Pn+9+B0dSk7eGf31mre7ln7unz78/fYLbJb9OrF/Yeg7cOPxb7SkpDPXqrqjo6LQ4 1tw6if6GV4NpaZsXNeKG3RadKW8gAJZX+cWoX4sdez5d8KMrNQzWsxEzA4B09/5gVn/Vo1YgAVyu bglbj3+zWfELU/wZ9Kvo+Y/TDR5jJ4gnhBi7iCDuSUPHHLkg0Hz/S4ydU+BSbesNZRp/Lck+TC/Z pbENHce0kujP2JYLh6DqjZIrubdhYQHS2ns4CQxwgi3ujdYDxqWszytWCgzdNyjGOZFUDLq9jsJX zgG4aSImmzxV4Urg1cKYVVJYXS0E6QiiABWHAaqZilb9sbhCkUR6SFyWL3o43O+uHr9BM1wNd0hX G1ZlHCzx8Z0CLNkLqO+8rEB2KDX5IOz7iUv5KsZm5T2ptazszz2ssEpl+xaA6SGlJWGzU9j3Z5Ih ZvDXEcXy/YEa39RDO8LWg3Y7XmIYK3gmK6vYGcvSZqhfbGns1TyDEEm02GoaKUWNOjFCw4aKojZK qh2IzWA4wHBBHe6rWQk0dRM2pTmoNSTA+SaZHqvubUSChunhgSwyrryC9MND/b5qx+N7e5mLVfDa rCWdEtuRhISdTZvd8Ols4H3qGvImfcsbrbaVwKtkMeuB+wwATl/mkTc4+qfG5Cg3T91NAG2rQv01 ngpa+FGshHvCHZe3qsfyFnFLKdTTlt59fHkWlnANv80trBALeF10byw9JZCff+CpmCnINCeh+uS9 JO1PMA/z+P31zdSr+5Yl/PXjf2F1zsDRDZNkNBbAYo7+8vj7y9PddMsYbrXVeX9tunt+8RxySntS gbu0u++v7LOnOzbpsmn8E3fcyOZ2HvG3/63cHDbSs5SCvj6afa9OwHjsmnMr+4Av6kq+KCfxYVl1 OLPP1MMfCIn9D49CAcTsZyRpTgqhfuwputWCDK3nYNfQFkKVmeFlZOdEaHhV2no+dTDnfTOFsgpQ dvZm+eCGsgXxRd5XhwGNiwxxHKFPO2ZKd584IfZtk+Zlg/XzJfD58u9I9clgpuzJQ9+RAn/PMJPS U951D5cix09/Zlr5wCYl06O4XhllBg5A7nFNaUlX1wy2u19LskhdN/XNoNI8Ix1Tpi3OLubmkNeX vLsVZV7en+Dk51aceVUVPd2fO/xuw9K9+Gv7m6EVrKJvcd7BEd/tcgXCochLfPd+YeXX4nbq6bnu CprfrvK+OJpJE77L2CD67fHb3dfnLx+/v71g7x5sFKOxw44dMbteSoO4dEMLkNiAnWcC+fszUwz2 nbB+MY9nrGcpOtMk4G6EwGXG5GcodBebts1BW8gKl5GK85Y5lKJ7r17fF8Ok3p95CNzMMjIeiD1A TWFYhOMF257n8OrOTpbyC6DOuiMpfFZ9fvz6la3i+XyJrPr4l3EwDIaRdaUMuKJuJJMN4C020Ik8 6L7euDS7knZvBAQH+2hT5eihh38cF9/Kl0tka49A8Dq0hk7lFVv0cqyQr+1xCX+dezGKf59ENB6M sKu8/uB6sS14SioSZh5rzM3+rAW56Mxaa0rVB+RcfBmSENul4qCpOM/1Nx4sbtc2mo/QppjC8suE wv2bzQZ2iF388oEo4T6J9UymJ991B016LWowAGfk40rdKA0SNB+b6Vw2wrj06e+vTLNTlPrJaSy/ dW8Wn5DDWGBvmSSrsWWdaI3XUex2m93YwaSeXiCTVPclIy5ZwbY9alJhhdWFwSQ/JGFs/axvi9RL XEffCNIKUIxAh+wnCtYz00C64kNT4y/1OGGfxU7oYZrgDLuJPLesUi/RBySmb8q+ZEQPb5PYNws7 wwbBDVWR410a9mHia4FNV8h1aUuj0EkiTOy5ZgvkQBJt1BbDd67emCaxnuvpHroRyznduwH6HFX0 virxXXNwAbHlJcmM73a4+xek4UwnI8WNBiVOHPSK75PBqEymvjUnpPUXI9ioGi3PP2ZSLlioDx5R 61nqe0ip0CYjl6LUbxUsx8hGBpedByPjxhzuRvjt2bmZgilvfIdHGnjw4xpBSH0/SaztoC1oI5vA FzNPR1jb0Vt/xVYR003m+e6LmUOexcvz2/cfbP2sTS9KpR+PXX4kiqncKZb0/tzKsaChzd9c3Vl1 cn/5n+dpT9vY5rm608Ypf9yj2gFasYx6QYJthckU9yq/cV0AVQdd5fSobL8jiZQTT18e//tJTfe0 ac5WjWq8Qk7F3q+cGQFAXhxMtVAZif3jBB6tZrAFdisU10dSxsOILIBn+UIszrEvfMcGuNYsWB5f qRxsPpIZyhaEDMSJJUlx4lpylzuBDXFjpJlMzUFaBDbXvBPuO7CtCo7Sc9uqe+qyfOMVuEIzPBCu tIwIKlZwfFbhT3bP8itpIeZfKbXFZxtraLDzunw0yfYEDg0exiRpqySS6wYuexzhJgHTT5xIaRXz R+nVc1ysU8wEqL3IMWPTq1uRo1FxBBtLZgLdUzPtQrjePuJmn7gYrYo5rP17L9YMDenJ0RQmSe6G SMbYtOLGTuBgWZuwrcxxijaTznmcaw75fKawz5OdPP/MAKh4XoyFajkXXkPkJYmE2PtR6GLyNHAj r8TigtwFYYytDmdKlvfcfbTgRupdDCkcpoTubBYwpbLYbcUlGImZB9YsAjdEK4FDO8s1O4njhVsx AyP2Q0sEIYt7+2OmTDtossNdYgGiAenytNr7QWzKhWauWkNTMM+NNzvWkZyPObQFb2e5b7UwmzI7 FBR7qDdTuj50fB9LS9fvAnQfYCacU+o6jocWdLbb7VCrF10d9pGb6CMoH9m1n+Ol0G6cgnA6iD8h 1k1q4fwBefQy+f/MYt+V/Y2s8sAqTzB55TqeawOUpqdC+FJA5WDnHApDVS5kyEW7v8TYeYonsgXo 48F18FB7Vmb4a7KVoXhvUAG0lBgQeRYgtqYjiLHWuDBOPZoK6ltCpClba2MbowtjAE/xNVzeZup5 aYZ9n4A9Zyzwe9cBaCPwA6nc8GRqH6uv2rbMaWV75DDnYY8bcV0J8CoIKZV+aJGaSdlfpOjGVNwG s6CtatV2hvkl/hu5zmjkobUBfnc3KyPLy5INqZWZLKFFsBaSmlgR3rOV/N4EYBvRCQ9YUvgOo3fA 7p6vlNCPQ2oGe6RIIqrU9ePEx1N4oOmpQmroWIZuQpHsMsBzUIApiQTLEANsj2EmAt9YtVidn0mn 4hS56DXDtbBDB61cuK5zo2FMG7fGp+/SYDvtrAN1rofuma0ec+uc6VlmiYkpFB2uBRTrr76tPMuF EZm1Q0YnASBDIdf0QnSgB8hzbW+HJI6HXqCRGda8B160WaKcgaYOVEvtpi7C8NDKBiRyou2scZK7 NUlyRpTYYkDVVongu9otBBXb7ALg9jrCNAMO+DsLECAtgAOYd3MO7GIUYOnDmlmVtj6qsPRpFAZY Xpki6vlJhKuXS7B5ffDcfZWaC3Od2cVs1PLNBLAxcRjQRlhZ7pmvBIvhIImA3USX4BDpd1WMNk0m x/ZkVjjBeneVIFlmUrzbVclWyywrdACp0NGj2qER70LPR/RcDgT4YMOhLb2rTZPYj9BxH6AAPa+c GXWfil3EQvNPNuNpz3oykhcAYqwCGRAnDlImdZtWMd7W+EHVDm/rrW7VRfuW7nvFh/csZtooWssM sBhFkhg+9kRGwoO/LUGnWwPv9I4A0aCqnI1ryIiSM9UlwLotAzzX8bFUMCiCHa2thFQ0DeIKbXAz ttuavARp72OjIO17GuMzJ1Mfo2hzDZGlrpdkCb7oo7E480MWJwyKN5cSrFASbAAuauI5OyxQQNDd M4nge/igHiOdvD9VaYh2075qXfyyrUxAK5sjWwMjIwQOWhmAbGr8jBC6aKxgNjdtzzdUSsaKkoiY JXHpXc9F03TpE8/f7p3XxI9j3+KJVOIkru319srZ/QzH+wnO1jzHCUinF3JQ+6fbmFjQZZyEVkMd Miuy2PiRWJEXn3CnICopv8Xi+/Y3KZYD47X39Hk5Vq4zovrL5kOopVfDm1DjnMCk9feOi+6h8KlP NXo1icCgJzxLRgOeObQnfUF1I2UaKa/y7pjXYD4GUtocDquPdUcna9tws7g5mLJrV3CjS2PfFfIF 4hnP8gM5l/14bC7g/7gdrwXNsZzKxAPsL9ATsbyywT4Bkz9gTdTiB3n+xB46QpTTi8DwamRUn47I 8JoiafO3PWO1neWXQ5e/n6HNHIBDI2Lx4zZz4ObdGul8nwSNmV+OxiKejJB+f3qBm+dvnzEzQqL3 8AaVlqSSTtWGJFpSc+GnDXKsgLb3cIhWtZuZFhHQJh2znlpTyTsoo/qBMyCJlUMDCh7jdLq5GZaW 7/QkFakC9Sk8+m5Y1xVuFhYbUlhxSmeOpE9PWYPuOYHls4bSYq8ZlKHYW7h9WhGZLonVX9xmNb+k grMXXI5zBSjqDIXjwpiH+nJSBsCa/5hWtQXVLlUKDH0+wt/e/PHjy0d4GGHaVZ87wSEz3o2CjKR9 sgtCixF3IFA/RjcyZtCTLxBXRYpdQuNc0ntJ7BiPB2UK2DDnr70Ua+UrdCpTefcQAG7z0FFXNFye 7cLYra4XW1zwmGLQIuEy1eIByPUr16vMxlXfC/LCX65nK8nkYh/Txhc0wT9CPXesqPriA+oFxjr0 +uKChp4e07SrjO/rSQTdTuOM2DJmPkpZpJgWN4HKcTjIjqTP4dGQtuXM6yF1wcEPKjRrZwaQfFSt F3m4FWCAT0XEFHibgVe2Fh1bQotU0eBBymJqLa8TIFgxjr4/k+5+62112abTferlaxBZX/Uv8wmv 8/TUZ/B40VLigj2ZMENSBwjX/m5+r4+gK9oytXM/WGytSizsTg3HuQFiPex3pP7ABtfG5q4OOPds 8kVfZgPIL0I4WmsTwhARRvpIMl9DMKRcEzGaGJdbVPWVkESW1M6XFZDYksCUJjsnRpKQ7Dxbd50u OiAhyXcbuLCP/MgxZcbH86bpKs4/cNMorTZuTiIltXU/oLYAAOvy/qzz2/QQspEFG1qmu7jaY2oe 0HLjVBb2QeK7umy6PCDL9EvKXHifOFp5TRcB9ATTPN1wYgiEIoijYWsypVXoaAnlIt3iLsjvHxLW XI3xmPZVaw1+fjUhyXp4GOz7IVMxaUoyYygtW38X4PvZAk5iiy3+KfSyOlvhlpQVsZjFbWnkOiG+ WhYXUfCFKYdirQmYd8pX6c5BpJ4bG+W0XIg3ssiAEN2ek8JLkFiSCEunclddkhp1PcttFp5lijF9 MoSNlnK/mK6+I91qRsg5U3VcBoDjua02fS1dL/aRQMvKD/UuuL4IUDP6vhoS/AYKwMazH7WJNump JkeCXYnkGqR4aKGplUKIKRczZPP9t+hznsWqNxRKFWoblwZseeklYMsVtgU0BicmxV8vTKCvD5rT HVMk/xNi1y/FHpYZXOiYqrd4AKGNr82pEg9VdF1wRuDdi+0bC8JWFkN1PmiDaA86lT7iTu+hlZVM 6hn6wiQ088R9O3JdREpKx6+Xt0g/UPbz5KX35ipxCTc/wuaKulmxCM31p8E4FANY323KXtw0QAIB a4dnYSqUniv0bvFKhj0kvoW00KVCWFhMBTsqo58CTXockpRJdcMa/0qCBXIShXgIJAv9HT5jSaSp j5dZg62jTSJrRnDTG8uPvuCWEL1ZSdC81EUSNy+fb+RhegC2mXyjx2jQgCZO7k1IxFz924zWXLiq WISd6SgUVz4+UhBPnj01BP3mQOrQD0NLc+Eo/uBnJelbPytS0HLnow9HFE7kxS7BEgfqV+ziYXNs u6T4BW+0Dk1lRsXQbQCJImZqNGQGRXGEQdISC4kW0NAyzSss21NDhZREwc4aTxJZ/DKprMRymVxl 7W4MR5xja+4cRK97aBx5NaZDaAc2V5galnh4JU37KvrWo8qIkxtpZpxkZ8t02rpM895uu1UbBi6e wjZJQlvlMiy6NTRW7ft4d6sJsRWwa+l5HNvuIEDx8LJnSIjXGCC2fPFF+s0o8VYC75yDEB0X1dW7 JD8kg20Sbg/nDzl+fVciXdioGdlCAPDGoMo5OzTRXMNSLT1pIHhduSgmeVdCR2i7B6sxYHJqdafC pmPdJpj0jdgb2EzwvFWAfS62DLY/Z4qq5es+SNBrKSrFt7RWsddx4/PIjdCiZoh22VLGqovFW99K mjcqNuOn5RG8AaMpMJR0CWJBOxE6cTIo0cxXa2CMHUeuHLY+Dl3Wh/EQYF3t3eqQYn8BHwXMfQod S9Cxz9yz0DDXR3VNc1fDwCxtV6DBrTEVe4Zvo+0si1uDtt1qzC0MCVve8ZvLGdWI1wro62AVwcdP fQGrjUMl2Rd76RZ/l5rzKtizxG0KloXFV0QHBjnTJmNLLTt+KdIcu1+R5qm2DAVJ3fTFoVCsaoL3 Xo516ibAIoclT4N6bRGcCTc/ngC2+CxxS58zbZ91F27MmuZlnkJIk12fT8+P85L4+z9f5UfeU/JI xc/0lhQoKKlJ2RzH/mIjgDOMni157YyOgPEDC0izzgbN1nlsOH+lKxfcYovGyLJUFB9f354wk36X Isu5U29rGbMf8EaolGs+u+zXZqrEr8SjxL9YR339CvsVyi0GPSaIAL3KYA2Mh5Y9//n8/fHlrr9I kUhJFn7mJQFTc9l6n7Tg9/o3N5KhyXAkW7jXTacclnGUm2inObcYOJYNpWDwCO1qQD+XOfYQfMoU kmy5ERvH/qKZpIXUCuSSfvz6/YdS2Sb46+OXx5fXPyHGn6D9+tc/v789f7KyP63pB9sck2d1pYKh EPbn7Jj3tq1gzvBSb7oq0OrHixi+8bge6G3JxgVshuA1WLmuapqQf9JjapRAlOPeCizI0q3M1GBu S21uWbbviuyoSWlVgLEUVShndUUuQbmOD+JaidI0RW9G7Plq5aKGgF3NYePTVkQQDB+IkCD0EUk2 IyVEj18+Pr+8PL79Y2vcTNMm/ARc+gj2k6WmNc9MQ+axZYCw9dpdzAFJ+UwbSc/16icj/fHt++vn 5//7BM34+48vSKo4H4yWt/KVIhnrM+KqfuY0NPF2W6ByLGWEG7tWdJfI1sEUMCdhHNm+5KDly6r3 9Ds4GmrZIzFo6PUPleRFkTUVrm9JPvjYdi3lOaSeo2z1K1iorCVULLBi1VCyD+XXkSYamxO2QNMg YNqoby1PMniu5YGY2RQsPrVl4iF1HPySl07y8BRzzN9qkLYvqyTpaMSKEdHspu/PZOegS1a1q3lu GNvCKPqd6+PLCZnWJZ5j10CXqvMdtztYmlnlZi4rjMCSXY7vWXYDefjBBhR5pPn2dAdazuGNKTPs k2/LnAqnOt++P3759Pj26e5f3x6/P728PH9/+vfdHxJVGYlpv3fYKsMyETE0cuUmLYQXtkj8GxG6 JjNiU6VJjRQjYlydYj1APhHgsiTJqC8eWWD5+8htRv+vOzY+vz19+w7O3dScyvNnN9yroc8DY+pl mZbAArqTPmdVdZIE6J74ii4pZaJf6M/VQDp4AX4RfkHlZT6PrPfl/gOiDyWrJz/SEy3E1uoNT27g IdXrJYku3EcO1hC83Q6tcz0hotHgg/5UG4mDboLNdeWIXQvjKy+y6V2XnLrDTiu7eQDIXCM/AhL1 oX/FIxp0PjF7h/g8woQxIjRKn7U9vR/0lM1HGo91DCP9YCGVuFghsVSqL7GWRtrf/etnug9tmZYw GOn3YiT7TOgZ1Q8tzcdvJUzdE7t7B1AZBZrhpjVTlp0jrkMPfeSg+8hTDwqNREJn8UP8WIYnsthD oVfYFXMZT7WqKvYxiFFpa0h3ZrsUeU309JLDjs2ylsTkKTpw+5HRCpkW7Dn6Ch2kgata4QCg60sv QV97r6hnNulIG08+ZC6bNWEt3GRIzPzd8NJG02mot7ZO6OiJ3kNEqXkuKvXNkvH4+YZ4QdFTFmfN Vqt/3ZHPT2/PHx+//Hr/+vb0+OWuX3vLrymfgLL+Yk0Za4Weox62g7jpQnhtZ21pgLu+ba7Zp5Uf 6nNtecx633cGVBqiUnl3W4g9Zad+6biONsaTcxJ6HiYbWWGgfX8js2zqj9SHreKxDc1+fnja6fXM OlLiOMY0xIdIz6F4bOqM/Z//X0noU7h3YIwpXC8IfNPZybxzI4V99/rl5Z9J3/u1LUs1AiYwBkE+ YbGssuHd1iUlzm7pVTRP552w2V3k3R+vb0Jt0RUUNjb7u+HhnW18rvcnz9CWuNSmdzCw9YwhnUtt bR4uMgR6O+ZCMyAhto/jsJS2o+WRJscSO4FdUH2CJv2e6aq+OQBFUagpv8XA1vih0Uf4ssezz1cw 1PvaoHVqujP1iR4UoWnTe7atpVNeir0lUcuvnz+/fuEPsd7+ePz4dPevvA4dz3P/jftF1MZpx1D+ Wg9ZxxjLFR53//r68g28ubAG+PTy+vXuy9P/WLX3c1U9jAdk09jcD+KBH98ev/71/BHxoEOOyvVx 9hOsGkeYVTbANMe/IKIFVQWq50B+5e7YK+vXy5GAV1K0zQFGr0UP3kYa7FFHJpuTZT+ES7JsX2BS 1WMWyDOWwfMwO1jFmz3QuAW5CrPsv8I0Lw+wd6fGfF/RyTeoKhffsPgr2o990zZlc3wYu/xA9TSC 39mRLYuz8VB0lcUj2JSZNE/VaPpeKx/w6osmiDFR+TGvRv6ID8EgczYMvqOnKsdDpaxGF7dYcI36 6cvH109w8PB299fTy1f2P/D3qC4I2XfCHS5TDrH3HTOBFqUbBXo5cpeZQ8u39XaoQwCDFRqm5m3J FKpRV0kOo+Vyaqo8U3yzylSZ2ZEsVx0srFJ+xbPtsWM7ILGeqrkCXaUjxe9MS4y0wAwkS4Qp9t9W n593/yI/Pj2/spGyfXtlOfn2+vZv8Nf3x/OfP94e4cRFrz5w+gAfYtvaPxfgpB98+/ry+M9d/uXP 5y9Pt6PM8NPcFTbKZzlC2ohoLqMTJao7KQi3bs6XnCjVMYnGMj+S9GFM+2HjIHcmC9+JISqeX7X/ 5puRzEPW+VbYY3umJ73VzAywgFwWxxOWQt5bdrKng1kycue1Y9s1+/y3//gPrRsCISVtf+7yMe+6 xuKScqZuN3pOOV6Ws7pPb59/fWayu+zp9x9/skr70xhB4IvrT0Rsu8KtErQH9AtIr2xKBv+OgtXs 3+Vpb4ztKlV4Tc/IT8R6PKdYpOgUxKGyubKGd4EH5x1JhYMmivBE8Jd9Ser7Mb+wgQdNs6B15xrc z426S/ep9yCVoVYS6+V/PLNV4vHHM3j7bb5+f2Ya0dyN9Ti7/P0ZzsYgyubc/wYqoWO2PV6UM8dF OdCmhD0IfsXhTNu8zn5jyqfBPOWk6/c56bnu0l1ICTST13Z5XrVr2pg+bnDgVHzOw/5MH66k6H9L sPRRphDIWTAI3OlfWUDzOnfcxMNvLlLuW+WrKAXHXFcT2NSuSarrUX6fwef4ioTKRgoMqHrzq47k 6OmsLiUduJ09ZVWBIOUl06J/P5SqYN+kJz2JRdeDZ5v2rMpbUnM9VZk72scvTy/aPM2JI9n344Pj O8PgRDFBgmLqKoss7ygr+dLoHxOFtarxg+OwJlGFbTjWvR+GO5vWIr7ZN/l4KuBqsRfvMixiYPQX 13GvZzZIlxHGYWouU8owZCpVJLXi8HUzcXlZZGS8z/ywd5XV1sI45MVQ1GDJ1h2LytsT2aiaQnsA cyiHB7Yw94Ks8CLiOxmesKIs+vye/bPz8eWvySx2SeKmluDquimZwt868e5DivkMXrnvsmIse5bG KndCfbtkYd2fSEbo2FPH8iZZohb1MStoC6Z07jNnF2cO/lJNqrGcZJCrsr9n4Z98N4ium4mWPmBp PmUuW85jlUBJRc+sEsps5wQO2lgYuHf88L22Ya0QjkGI3qFfWTVccSsTJ0hOpXKutTKaC4Ek8x7i ommRKFEUewRPkMTaOe52V+P3TIaxKsnBCeNrrpp/W3lNyUbaYSzTDP5bn1kDtyxD5w/A/WGfp6ex 6eE51Q4dQBqawR/WU3ovTOIx9PXJWPDY34Q2dZGOl8vgOgfHD2p9KBVMy+VqPFcdecgKNoJ0VRS7 FjOGKDvx8F2YldvU+2bs9qzbZD6a0Lnl0Shzo+wGJfdPBB1EJErkv3MGBx2RFFZl6cEayfLA0s5H thUMYpIQh60RaBB6+cHi5gj/kJBbw8rCbg4s7O3qoXlx34yBf70c3CNaYifStWP5nrXMzqWDY+kW E406fnyJsyt64wBhB37vlrk10KJnzYf1StrH8a0gFS5e+TIl2V1QTlM/sAXpEHgBuW8tyZo4YRSS ++pGZfRZM/Yla/1XevJv1VzfMnLmeEnPBozt/E7UwK/6nKDDKGe0RxcfQfvuXD5MSkg8Xt8PR8sg eiko0yabAXr7ztvhxlxWOhsPme58HIe2dcIw9WJvcx09KV2KHqdf3VuVnRlR9LZ1P3b/9vzpT32r Jc1qinVJcP/Q1PlYpHXkofd3BIs1GdijhD0mXcuZ524mqmc7ZRJcsi9hmCz7ZOd6exu4i1yj/avo ecCsCnDdv2cZ6KPI9cwgmG43ws10+1ZHBfsOrBjA4mnWDvDW7JiP+yR0Lv54sOkV9bWUt09lZGjH tq/9IDKaHGxYjS1NIs8YvRdIVztoAX22SCLPAIqdoxqumcWeb9eghE47tSJL5vpTUYNXsjTyWQG6 TB3VNkUbeir2RNhHiCNvE93+NtbTr+H4zTOTiLq04DQ28R/aQO//TEzrKGS1l/hWJDKQvs1cjzr6 9o64wM8GVVIPkR9soLHyiFlBM2OkVT6MUNs6vP17YDLtEodmF5IgYS7DvrkjMVPUNM4yjlSnrE3C QCudddmqHhII8UhOezMFCK/wqGnYQyakel/WBlNzJJSjyfuaXApt1puEqHlHGCEGekAvcEAVdWl7 1BbWadF1bJn7Pq+MfWfR+zLUGzI89wPOaUj8MJYWujMAizjPC3HAV+2Oy1BgecU8c6qCTbb+e2w3 c6Z0eUuU04oZYFpEKPcTSR77oTYXDHltCMYDn1tqbWF/2TcDv1+uTRh8k9gYM7KD5VYPJN1FvdLy jJvTPS2wC+piG8UkkwuxDqL5IN4UweuvnOILGbYsyuue71SN789Fd6+xwK15R+qM2zLk8/3h7fHz 093vP/744+ntLtNPVQ77Ma0y8NMhJ/WAv25Bg+KR7B8//tfL859/fb/7zzu2xpuf+RgHo7D+S0tC 6fS8a008IGXA9G4v8HpZEeVARVl7Ox7ks3ku7y9+6LxXTrpBLto9djQ1o748OYKQKZxeUOkBXY5H L/A9gp3cAj6/QdC/Y0sJP9odjujx2pSj0HHvD+qFa0BEZ7Z8xtbCPuvQskXR+WRBL9cl0JVx32de iG0zrJTFqBHyubB6gXablcS9J93g8JeFVzaq3eCJR8E3SJSwVRG2A7VS9HeRUmoXu6EYlCSRHVJ9 W60g5s8QobGCjtA7syulhX6sOquWsm1/lrySpEezSBAW+45SGi+sbOKyxcpgn0WuE6Ol06VDWtcY NBkRwpNjtIdp1Lkxtsyx8LG/Yor7dE4uDYyLljGFaFzcmIm0OcvTCv85wuM5/c2risCpBet9BTZH UyXAOuNHDp0qauVt5kkw5mVmCos83cm2F0CeVYStHEH/NsLpyLUqskIVvmMlbkpGtgA99zB8qBjL I5i/VoVVMeQdQGYKG9VypySG924smehzromFlI3xzlFOBhnGlHQZ/c33ZPn8Orcp2UjcatlvuyYd D0YiL3m3byg/bE0PFrv7Cq2oe+ygn6eZnzX/Y4jmr1Uo7cvxQuBUgJ8/aema6ubd9JTTdpjK0yZ8 TButY6THvWrriBcSnKDVKfp6GXCS7mKxENa/RN/UKTWpbPxxBeGU/cKvJPAfUzdcZHK0J3An3OWk LBu4TfAhX03l81S3BdK80gKbADi/SdXyAEO0PGuKcY0ZgTeRHVgmtvcpHkBmpGISc9eFbEViLRyZ R9usONgTPt/yQKNiUPqBTcmx5+6qYQc6A+sPKeZwVPum68MoCDnZFjKLFHeEI3G6vG6KDimbBZuj kBsVN6mNVkpV3HcN7399o6L7tIp8biiZjtdTQfvSaOQ5LY41XOkCktFeV5TVptE06Wt6J67LwO3U w9vT07ePjy9Pd2l7Xh49TXcYV+r0EBr55P8o/iqmzB0onGR22CJZplBSmAUDQPUeaaw80DOb2wYc o9QSGm93OJTbk1Ckh6LEWgygQ3qxDSQzpWsrejTDLqqB5+I8yFP0ZqWoSYBmcSoiz3X0jmfEdMSS z8Q8jAJ1o6aR4CIBkoUj35ArS1ihnXtbLLzcb8cjaBvhtKwPwA5kIy5T1OCXg1i8Jc6fCSvc4o4k v7+ykYiqvx/3fXqhGZYC2hzQQERn6qvnj2+vTy9PH7+/vX4BJYvCmuUO3BY88gqVrTzMtf3zX+lp Hdhqrh6mbo9jfHMIltUV97xs5Vm6xdAf2iPBY+B7YMu0NPV82Ds2PSHLc888rRrzAjmP574okZgA c/3YsyOqIU8DpboitKCxbLNZRQYrEm0gGykB1JqS2HEs+Ytd1bqPjo0nbNvdYGnWYBf8PnAdbIkv E9wESdp9EOjq+CQPNe+OKxKhz6lkQuDhn4Y+ao5dIoRoaso0jOTXSDOwz7xEAEZke7bCTLHV4UxI VcNri5j6Yemj6RfQVt4FI7CFGtpD3SqWlAZeGSANiwMh0o4nAG/GArTkEKCbaYnREgfI32qEQIhC PEGxY5Fbche7tr4woTbj0DJtGBK7l96V51t8F0uMAE+mr1rAXJHQL7fDHDwnVk+6ZohrzFuNkOlT SK2LgwR82M5p7GKtlsl1354LkvjoxRqZ4CFdWcjxhjlh6Oh67KsIG+XhHtfY3fviVbeuBhC2rnAS JBkcYSsOYoFCBykOjsgvQxVg59kQP0aGrhnBi0KgOwcre5GMrdZT0SrZudF4hY1cfqCGxCBxJltb JomtNtwoQVsAQHGys1i+V1g7tB1P0M8FgDcKABUb1hqAl+0M2oL0nQgZjCbAGiQHrUGyUkSa2ozY A+WoLVSwYI+HGrre31bAGhsH0chYB0N7c3efuEir70o2KSOdFRbuLtJPQW7jB0hdiA0ArFEBEqIO vmfd/9iXqm2aBSmOFckoohLMCF5wC9rl7D/o5/z6AWF/z/b9zCWJ4LA15FbaJ/Xe/JpWHm7jWmaE mAIIQOSgysAE2fzTayzLbMzgIIxQP84zoye+h/RhkIfoAEjhvgLZWij3hHphiGhMHIjQ7AIUoy8c FUaMJolBYC90++MwdtGRkEOoMWSJwXRqZErqmTYQuDsEOJBdEtuAHVLefXnxPYcUKaZoSyDeC2QC OoQsBF+x3GHC3oDlU4ZtbU0lbTfblbuZGMP/Bkb5qZiydHADvO1Qn3hejB2qrxShruKfMyzEbz/N nHNGXH9TN79WSeiiyQPE8kxcodwKPUHGXCaPXWTgBzk234Acmyi4HJmIQI6p5iAPLekJ0cUNIKj1 AIUQ2T5NUB/ZKyHB9E0ht7XACd1ufGAc10H6M5fjUe4w7YfLkfEU5LElnBivwF2CLAE/lH6Cql2g 7MYhMo5xU+2oZirMu2/uDkYRFldNzmxVg+oVAIXBVv0DI3EtoSYeUnYCQDdZ+pZEbNFJ8LsKM6ts 4b7ElRI4p+i29joE8zIRzaQIvBu28X7FV+MFymah8p1QaeB4E90SXGEVEJudx460pxlVcm7zQ8Ux 6XKV/QSUPw5DSks6VRNHfkVmXgBiwjW97Me453uyD0wr6fL62CtHUgzvyBVNyRlCN9MAIU5neHMy 6Nenj2D3BD5AHBTDFySAhyaW4FiVnQc1zVw0Hg6atFXsbnLRGU4ytQzn5X1RqzIwy9A96LKC/XrQ ymNMmzPuCgxA1r5I+f8oe7LmuG0m/4rKT0nVZjO3Rg95wPCYgUWQFEHOoReWY49t1SdLLkneTf79 dgM8cDTG3oconu5m4wYa6CtzGJVVEfPb5CQd/ipEoAM7lVUiHUIYg22RV1ZO7hHmdUMipA/LEiu7 roLdQ53c1m0TseFVcGTTymGyzYqKF41T4z3fs8w0e0AglKb8eRzoKXHrcGBZXVD5fzTr5KAciZx6 nCpPe49wjrFuA6x47cyW92xjW/sgsD7wfMdychHoZuWSw8Ihk5MjQRapZOF2UVkSu4C82Bdu4WhL fGFpCLblkYDu9/pQQB9WwSoJdkozJp2hqBI9q2yo4LBlyiKtHTDuUpU/gUST1VyNc6DsvHbmRVHV ya2zYliOhr0wt6zt0wDDDA/wL5OaZafc2TFKWMtZFJPA0QSKRuvvrFYOqCSm7nEmScQr7+uM5cql Jwp+nLGTrL0ZbYAvdECFnrd2UyTjupOtenQOVwE+MhHkR2WSoL3qbXBFyDphlCVWh0syCcdD4mwZ UJEya6RbWiUo8VCtePQKZNI28R2ATvfY9ROsqt8XJywvwLzm/lqEPUkmSWhrRAeMrbM5Nnh6tqWc ezsc56KoQ/vSkeeisDndJ1XRdU8H7SHeVn9/ilHI8XZCCftUUbW7hrKLV2dlVkpTNKLO7SHKjS1b DAWhOlYf0AH1RU9QULN3RLbbAs5MyyDBLdX9qLMQ1DV8ejs/XnG5C9ZTaeOBoHXEmLE4koUOGCPi K5lqhPR5o/0NoIOcyc8HkyyihZiKqNhFvM14XYPMCcIhZ8YujXgiUQaCYX9q64rTIfCRoMlKjjJj kAD+mYcMVRHPqgiaymS7s3dJwAW+0HH7VY8hETbVkAsHePn139eHjzD/sg//WuHJhiLyolQMj1HC 6ZBXiMW6q0xOtEMF2+0Lt7LDaFyoh1MIw9QFdAmnMuDKhh9WBQyoDgxG0ghBfytAyqt5RBlA5slB nUvjBMFf2jqdgrWOKGBg1GEOx5jpIajQmwqPyxxE1XZ3wKhj+XaMgoV2xJ75hfrMyJs+mtwjgrF6 Oruh3Uw1QT6fzJY3lJWhxsv5arFkPuPDjI6eqpuBhm3mQ80IXbpQR9+uYdVkglEvFw48yabL2WTu xFpQKGXfT13ER+zM4ebmOe6BjpnCAL6Z0bbvA8FkSnpmINrNOqeAmP3Nr1YH9XJXKqS7YziVwJzg pEtHj116nVAunWQDPXipUg0KUdAyeke2XgeSEYxtWQZ7BdEr86VVQfs8xiCQ2YLLgF0GB3pIYGoD o+lsISfmC5NCkDl69VyNZ+tAHmjd8Hq+DITB1OtD+18Ep4NO1OhUp44Yph7zKlNn0fJmGsgrq/l1 KSWD5Q2JKv1Vs6QMYvVXSZ7OphszJLOCo7vN6sZfJFzOp2k2n94EB7yj0E/WzqamDCL/fnx4+s9v 09/VEVFtN1ed88SPJwyqR4hOV7+NUuLvzra4QXFaeNWUJxmRVzjd6OwI08L7CCNChfsfrhzX682F AcI0KZtTTTsQ6UEGOUQ0P11xcivmU/LFUQ/odvSPe/zw+vXqA5y49fPLx68Xjo+qXiwn3tqo10v1 6DkMU/3y8OWL/zXKQVvLLcUEu64PFq6Ak25X1P6E7/Axl/R1yKISNXV5sEiGKF2BihA3VQsfmRGj LAyL4E7D61MATW7iQ/N0dL7WHm/V3w/f3zA89uvVm+70cQ3k57fPD49vGFhSBRu8+g3H5u3Dy5fz 2++mGGePQsVyiR6WP+spnZ4tWOWSwVT/+ZDkSU2nNnOY4RNpHupZ1/XZblB9IqvBogikJ77BaE80 BYe/Od+wnJo1CZwVLZwI6Jkjo6oxojQolJcbDqFmJRVVF8ARNpqUugkrmt6Xxv4yuV4GpAyF5uvZ zfXyEsF8EsgT0aHp+DwamcynVhw2BT3O114t+XJxsZTrQHqu7mNHfuugdN7ajuHcq1eZx2Y+zTpC F2EbAKfsYrWerjvMUCDilCBONiEWjEjRqEOMCLZpUj/HnTzlEaZMNB2gDgpq3Cb1x8ZTs/rdimKf 6ByPJw/nzZEO3odxDDYAiWDPK+n8YE4z+kJZc+wimIwVwcDH9vtevFhcryfdOWU9hmgMWaVbOZlO 6AAWaPfPZMQ5vgfSO0sUk+4PJauUN1zZRe8bwDowlkKOTlYduCrUOC2t108VzwXvWiDySOk4sg+E XV+AWNEW5CuhSWB1jYFQl0KyMVYjGnvrg59txOmnN8SVmI1zm+S8ugvSxBhq2acxKJhpBIoAkHmi Qs5tIOb/G1VRVhGw7VOin/qqasxrMoJEurLVnKqWKeXAsU/RJwSmXKPu/YbqXmH20KY0toEmY0WU F4pBiLt+PnEgrbBMtwYwz+ujV4BCbKlTRaGF5YIKNQaBUOlPBcthyhkyEmoi2zH5Xw/dFMdtYwVv ZVGVtzsp7E/NcLNdxEuQ5K0AHB3YcWi0kRt0VTS1Fh1c+dP6JQiqWIHzVodh6PPeekTKkRMWSALr o0lT2xBuH5eMnNH7XSFr1S5vl1YuN6/Pn9+udv9+P7/8sb/68uP8+ka9V+5gMlV7cpP8GRfF5nh+ 6m8vBHdUO3e9SLYB8dArbbKvox11IdEMolsrJggAU2n9xM0YZKkBYxUAQkjXTC4LSr+KRPDfBt+8 xwAkFo9tHhDnFBJES+Vf3SrfVu9bjYZBVmjKGuHAizrb2DFR8FOYnsh27AGLcblHnbC8rNg3CTs+ gWbISHKys1Hxs4+EA8S4wO0xY6auU8Ej08ptMDxoy23MK5jnvcNyN8uICdR/u62Sk+XLG2GQeO7+ dp2yB6i+Wyhxgd8n7e3mr9lksb5AJtjRpJwY55cmFlxGF52kOzouGUVmE6k0su4e1+HWs+XS3pA7 BIvhz4HBcokLv80Ky5DxdGI+q/nopS2BEgSkFwNBZ6cR8AlWgWcbj3I2IVMW+XSzn9QdhfhfYTRf mo4TPvpo2mMO6AzHZTWbrEO46+P8SNZPYdfTFW2SaJPdTAMpjzwyyqBrINoj0fTaNL9ycbNLuPkF 3CKMWwV5trF5SvY4UWYRYmBk6VmvCMpoNl+52ZlditU8cKg7hHw2IyfugA7EpuzoItxyo75F4eJi JifrQJ3j2r2rOvhTrrJtTyfERNzCTrQrY4oviJVH6g2835yiUutfqCqxu03BqtjNJeTSva+8bnZJ bhO0aEJbjnBVIqW0i9GI22vggAthYhbACP2RN2QdMqZ0PX3XJXYO3gGMPUPwzHm7Ws4oK36T4Ejt B4hxggn5BNeTwKcZ25TR5ZmeqyOGWm8aI+wrQoer6th5tncp5Gp24WgQlvHTWCAIulqEcNnpIB8/ Py7hSPQnCZ6TBE91fEpabu6np/5/xiltMrEvXdqTfNkDV32gFyhwVTQ1z/3z3AkWZ0Lb5Mi6dOBu 0zS+Y5vQgoqs2ZaTFjrH9cpIwO5eWVC6aw9mRgL40W5EYfnf7Bp2SBRd4AESjSTwQ4kPAoe2KWMW UA2MtPWuyWMMs5ORSZWPoqvX+K6RsLtgHY6cFSJcxS3fMlRXBAlYlFS7mH6QQFx74FWSJYEnNk0R Yi3itgyo5/EYlYdNU9eBK5WyVW23jsPUiMakCxkrHTtIG3+56ooiUPUkSWBbusDfnl16zcMsyzKS Om3e81o2lxj2JDXbZAFDiW0J/VnAvaZu05C9Zanezela9N3R7or6NqHf1IFBcLZvBGY2pZehsp2S GBvJfarsKFCxd1uyC5ZPA0VGmrSRPd7npXOWmbzFBBD1fOEGqbaolHZAljMvqY1FpSyB947CxaGB v3Dcztp9UKuv6USSZwVtLq4J9puaHlghw2u8jHQkKAmLpgl4FPRJIMITsCe5m9KnZh+beFO3VXrL AzO9p9oF50FHEN6PSkxqUgZ0UxebUA45FC618yTrRFyvLkzEooRjpbrEBG3qlOwJ4wa0ec1D+77I jsO0vTSDAt2lsZW8NPuUuWakQ5V7b2jaTE9+P58/XUkVvuaqPn/8+vT8+Pzl36uHIbBw0AZQmbOi ogK462g+Kez65Evb/7cst6gmV7EK0yq5UxeTqqAnmaaGo6V11VMuSZNzqHRgMnXti5rgFcCgIIaw n3VCKxptPUFVYLas7it6bAUcFwwD8F9gLhvV3SMns5QeCXcYNKBvi7JKtjxwoPbEsPljmMOLNGVV zNsLh3NPx7ZbKBHtboiq7zCUZpSZlusdBMPnlayy5WtR5Db1CBvDo+rp+fj88T+mrQmmWKzOn88v 5yeYXZ/Orw9fnixDSB5JStZC1rJcT63cj7/IfdB0i9vJYu08UvX11tY865Uj3Brom8Wacus2iKrb tSOD9xjJl06EbAe5pJIf2DRT9/HAwJEGaDbJtfuC1eOiOEquJ7Qjl0N2YweBJ8lUUuDWTSfpE2LM Qvj/NqEe4Q26fbQku3QTX0/X3jW3x6b8CFsh6kICkynbijYyQ6d3cbv2kaW02R1kyUESsK1Tjbkt n3+84FxzjXygjGRfo/HA0njRUj9bZGe0KbvdZPFAOe456KyCqSHakterBW3VS1ZiuKAwnm0K4yFn EMrEzmplGVE6ApbBCcJaoVmM9dJc1Z2P+EprDHmxN1MMK5gVPVWDRtMOnQT5/IS566+00rD88OWs LHIsy/Q+7O5PSI0dRZWkXuxJy5Aerx/llWasrnhkWUj5NBm7D5i6WKSobKzhhGm2lAK6SDW52y1Q gFk63s48PaqPbffUY3avQezKUX1Ynb89v52/vzx/pGzRqwQdOjB2LTnliI810+/fXr/4C6GP1Diy R4BSzxO11cjcuP5riIryvUXbwjAGAS520M2O1beqaRyUGIUZ713eQpfQEb/Jf1/fzt+uiqer6OvD 99+vXtEs8jNMwNg292ffQIICMMacNPu2d5gg0Dro/cvzh08fn7+FPiTxiiA/ln+OMS3vnl/4XYjJ z0i1Gdx/i2OIgYdTyORJLb3s4e2ssZsfD49oNzd0km8DyevEtEHGn8q9uRMms04l3ZX76yWoCt39 +PAIfRXsTBI/yHHo9D24dRwfHh+e/gkxorCDz9EvTZtRNMWXL5Sn+5K7n1fbZyB8erbS2WtUuy32 vfN2kceJYLbG1iQr4TKAQSvziMwYYVKigCpB/huHx0SjUa4sWRRA44bH94nbiNidAGN79ZV95JYc 8YbUM0j+efv4/NQliDDYjO8/ihzEiXK2phRTHT6VDAS4iVuMZyzagYfHgvmCzA/akYFYOF0sr689 toCYz5dLCq6MxokiFWq9oOzJR4rOotyGl3W+nC79tlX1+uZ6zoiypFguA6b2HUXvbhSuDVDAQoG/ VvoLAYdHZXnSqoCncZq1iQhYU3GymLy2DAjhJx51NGHL49olVkNIlofYpKSsyRCjPZhq0y4LwSAG bsvCfDFHaF0UmUMHC82hQTtg16NtD3fOkCNXefADS6MFGWa196MgAAalREtgyEAApkQ6NLMEkQ4+ MXdXj7cxNCWGjN+QzqVVIpPa3rAtjF5D24N1+CuMiHYlXOdYdaTvE5oKQ0t5bgOqM8rdCQS9v1/V 5jr2RB9wHdBjXQxglzJNo4fClG8h3AaQKTka8GHEcj2M6J5Hqhc3kWhvi5whu5ldA80g1imwi6qy djsTGQc/kzypKhbAsWxf2CiMkM3FcS3usDo2DtMtZFZPGMjyyNrZOhftTppRCSwUNtC6PCBTVpY7 zOQnYrFakRpmJCuiJCtqNHGMTQ0PovRkUbeyAm4cIWQiRGROXXsmGJXCQyxiVOQFEVn7itBKWpqw zcoh9kd5fvn8/PLtAz4tfHt+enh7fqHCT18iG9aHqWKGH5hVzAO4RkbQ7wv7V3+paQ+VVoGac3rR 3qontcA1TX8PF5kuNb0WXp8+vTw/fBpXFAgUVWFGWekA7YajYgzf60I4017O+apX8b37+wHdK/7r 6/92//ifp0/6X++MvcwrcTDFJq8nfRuMl2i+yfcxF9SjXWxGF8hhUxbOT+1QYJ0tGlyiLjEmgwN0 mWnaBC9RHsNKF6LD2hyu3l4+fHx4+uLv67I2k0XUQmczaDdM2kbAIwrNDqmxRoq4EeJk84MbTxWh yUQuC1ura2AHL56ATncgTGF/dB+b+0NELd96R44X0QV9JVFysI819SBR4izw3pNNaUNsq4FYumk+ XIpoH1Dz9XRDRHdqkxioYEYvnKijAw5zVxyLGYF1E612dQK5OLlPPGxXkxKXUFQ0pXXoKn76VXkE FikN74UyH9KmIqGh2JQAxq2ohQyV3bK08QYG4TkvZK8WYFGbB2yWBnrLfiu108zCT+VFjkateUHG z0ESne2mvw34iJ3plWTAmdK52CgZ2RoGBdskKU8pMbdOhssS/JO6ZJrg4WxCjRaM/1HNAG2C/ePx 7eH74/kfK8LAQH9sWby9vjGj1HZAOV1MLH8jhAdkf0QJYb+oUAUb17yitGRTOJRwn1KW0SEBWPKC tiWQGRe0MKrUXZHWrJnvxcoczHhfw59VU4LcmlvyeAo72V3D4phMPjq+xdYgFIBcUTemTkTP1bvE aqgoAieUc5fVjqMPj+crLcWY9/wINo6kPWCQIO1kN5bZZXmCjVei4420tgKJ733Mqg7c2mYt7Rp3 rOdOEqsOBGKUxPyvEX2P6qlkEjWV4/o3kix83gt8RVC5KbFW4c/G8q277cIs1GMdymqlkKNMZHTl +43p1oa/XNkLyhMbNRjmJYdLFHNaU9IZgEAaWfGGBozKGcZzcjMweLZHVtcVWZzVLX4Bl0fkfV/j 4cP3oYE28EZvG1DPV06RYlAnDOhBr+2jKp8oBgTZmVMzzJ7mTtoBuamrEKucZz6zdOaRG1s0SoLk 2UDPQbzOm+PeQ9oNKndgzzNw6PymdD6WvR0+1qE69hTAAy+43lWnsrYPTxMM4sLWbqOF5blyAlK/ Q82G2yw9T1LpOUi6AK4B6knQqCEb6MaCOli3i+EjieASk9rT43HXFDVtS6kw6PSmXvxJIweTMqqt NYIeJKlc0LNGI63lnKp9yrSHbMzIhZ1uxZm00KWYkT71fVmjDx+/nq3Xy1SqXYXW7WlqTR7/AVeJ P+N9rI4K76SA0/QGLt5WXd8XGU+sQ+4eyMimN3Hat6IvnC5QP+oW8s+U1X8mR/yb13SVAGdVR0j4 zoLsXRL83WvOMJppyUCoXMyvKTwvUIUkoYHvHl6f1+vlzR/TdxRhU6drc6G6hWoIwfbH2+e1cRHN a2L/6I/0Sz2iXw9ezz8+PV99pnqKyCKpQLeBO45C4tNYbbrgIhA7DMMZ8toMc6RQIL1kcWW6e+kv MMIZxr0aQr902Nuksnze+ntwL7aK0q6xAlw8RzSFc6xpIEfR3LTI3zVbWOIbs8QOpNpIQ9W1CV9W bQ/SIIkRDMKYpolIY9gzE8vNbAgNhla6ec0jpxr6f+PR2j8G+aM+ipRS+69rKzejoUWFbtHeMc3i 0HHHUmfbStSW78pdPbBzuKZtsXcOK/itQ/NZvDZJqC4br95B0vfpcEg7kE6wmJiCRYdRT13aZzXI UjYwutWJ4NtPPp/vZQGoI6KkIEShLyjGusVDt1Bnr/QLuacN/zUyuy9cphVGcfHZVM2G06ZeXV1U 2uK8yOm3GJOorHjhnv4kIbooBquuSVK2L5pKN2O86214aPCjignrYFW/tfiknbZHsx6NckLOjHdC uLbJHVnI/ujNRsFzGGeSuhAe9a4M1f8uPy6cpQKgFQ3y5OSqK4va3GVdmHdL/XvYqm7RqgHdBORf 08lsYSyRkRA9ZIc5GSwC59xA5ZWX3S9MpFsKoHfRL5SxXszCZdzLOg5jL5Y+1rzvGVp34zeGog/X uacmKmHV/udcPY7voJx3HtdIv8aG+diJTzsgrBDrpN5bs7BxZqX+PWgNDKgfIKcqwrcmjI4g08AV LKkPRXVLn3C5UyH8vZ85vy0duYYE9meFXPz1zSaXB0Y/7GrylnZ2rYqiRorgl3gj6GINxWT+8Z4I BagkQyK7YTGX6DgCMndJhToFEkrJva2UtS/c1grjuVHtls5P7AqrwCFsTD8/mrwy9Tb6d7s11yAA 4LBDWHtbbew8DJq8bwbP1amIoVwjjBMSeNHrPnLfZsZNPil3gZMCzhAYW+OXklWlaceLQAx1cBir o8fIOkeQ6pCw27Y8oCxHRylVVE2J4QvCeCVHBOrqL6IRSptcjHhU05QYXT7g668If6F+8pBfpCli FlrULLzeb8rAWjcTSsCPcYvzb2aI7q927WJuhUe0cNfza3oNWkTXlEm2RbI2DWMczCyIWQYx1yHM KliOmd7WwcyC7V+vKEsgh2QRZBxswGp1oUgqXZtFcjP/v8qObLltJPcrrnnarcrMWh4n49kqP7TI lsQRr/CQ7LywFFvjqBIfJcu1k/36BdBNsg80J/uQQwDY9wGgcYQ///09747kFMDpe20SO1On3cTf OEt3JEnqApdadxXo+OwiuBAA5cwQBceyQX35Mx7sTWSPCM1ij7/ky3vPgz/w4N94sDeOQyf+rlW2 s4GFCe24dZFcdZXdEIK1blGZiJADDjhG9hSRxIDNgcoUQd7Itiq44qOqEE0iON+CgeS2StLUfkvv cUsh08m6MTj/mvsygWbzYQ4HirxNGnuYhgFRsdC9Qpu2WidsCDOk0Aqu4as45YwS2jzBBW/wewoA omKViTT5pFIx9LYVphbDepxSJtH7u7fj4fTdD8unc8MMjcHfXSU/YhCtjtF19nysrOoEuMS8wS+q JF/yV5DWbsvYuyTH+rp4BVK4VElUbC8sLb9jXLaazMzI0p8zmWBel3pY4HYcCtesL8fC42nTKLYJ uHwvJ8ZQRCkabrYXwCuiFl2ZXBgcHD65RKSHR2F8JdPSSk3PoamO65/+9fr58PSvt9f98fH5fv/z l/23F8v8ZmhSDQuRDww7kDRFVtzyTrUDjShLAa3g4/oOVGkh4jKg5hiIbkXGvxGMbRYLtCR0kxf4 tQHbXADLlNa84+dICVvbdQbSNPgUsXSXzADE1KS5wFdj3kIm0BO5YY2WtC5gXM7CDBddZ9c/fds9 3aNr0Dv86/75P0/vvu8ed/Brd/9yeHr3uvtzDwUe7t+hq+cDbuV3n1/+/Ent7vX++LT/dvZld7zf P6FhzrjLlaXB/vH5iF6ih9Nh9+3w3x1iDdeniDSlFK1rIyoYhKTx486yVJgJZCQhECzeaE36LHtg BxQwuX3pAesjixSrYKcvQT2wCpjGKoZ7CtIgWwSjJQQ/MD06PK6Dz4B7ro7qMTj1cGjUa9Dx+8vp +ezu+bg/ez6eqU1rTAAR4+Og5XJlgS98uBQxC/RJ63WUlCvziHEQ/icrKy+DAfRJKyssyQBjCQ39 jNPwYEtEqPHrsvSp12Xpl4C6HJ/Uiylpwy0OUaPcCOfsh4Oo7cZmUVTLxeziKmtTD5G3KQ/0m07/ MLPfNitpBtTV8MaKiNnPfZINaTPKt8/fDnc/f91/P7ujtfpw3L18+W6+fPZzWLOxkRQy9peMjPzm yIgljGvBQCsFdttRZwHZXA9QW23kxfv3M05C8mgwAkY/FOLt9GX/dDrc7U77+zP5ROMBe/vsP4fT lzPx+vp8dyBUvDvtvD0cRZk/4QB79Fu4AuZKXJyXRXo74zNQD3t6mdQzM1WIg4D/1HnS1bVktr78 mGyY8ZNQOZyQVsBK5dhGHqrIXLz6vZv7kxkt5j6s8XdVxGwFGfnfptXWgxVMHSXXmBumEuAwt5Xw T4V81Q/9BIofVAMvNjfMkYVJkprWXwr45rTpV9oKcw8EBhqYN0OHpk/fTDA9VsPgTu8GaL2pjQ8P +9eTX1kV/XrBTCyB/TgwJnpicyEaJilVJ5379c1NWKGnKOapWMsLNvSWSeDPt4brPe21qpmdq1Tw AczYZmcXszdicAkNCwSD61ix6/RdEXOw98xQZQlsVXIB4QTc/ljO4pkVUlHv/pWYMUUiGFZ2LTm1 wkhz8f6DouLKfT+7CCPhy8A3HJgpImNgDTBy88LnNbalKtftJc1YR7OJoc48/zJ1ux1evtiBAPqz 1V9ZAOsahkGT9VA+sxqL7SJhVk6P8NT9Lj6wgDAJRZom/pXZI/7uQ31rwAH245QXYVJUF/A9QRy3 sAlu1D95nwNtIOSFQRAozGFSmJkF2K+djOXYPbf8hWeVx1/nXD816m9bBsxlaTmb2XC6i0IT0NNM TKdBEi4m4zrfbIsFr8+yCUIroEcHR9cm6H7dCt7IwSHnp1vt6+fHl+P+9dWWdPvZXthBqXvWwzTq 0LCrS//ISj9xfaAn9vAQ4fNzf/NXIO0/P57lb4+f90cVGsOVyfXRktdJF5WchBVX82Ufs57BaGbB baTC8ekVTBKOg0OEB/wjQUleok9pectUiBITRhKZeMBzCHuZ9IeIqzzwPOnQoVwc7jJdFGji7Qjs 3w6fj7vj97Pj89vp8MTwaWkyZ28KglfRpcfDabu0jSSSEAtj4Iw0EkEaFqdOncnPFYl/n1ltHKUk voxRiJqsaroU7kxG+MBFVWjSdD2bTTY1yIxZRU010yjB297DgP2IzIbUAx/kFrXaMh+K+jbLJOq3 SSeOT/NjEw1k2c5TTVO3c0021HDz/vz3LpKodk4iNCtSriacbnsd1VcUtx/JsLjBK0Vtgf3xhJEv QNZ9pWBdGJxrd3o77s/uvuzvvh6eHszkPmgx0jVVW2tdf2UZx/v4+vonU2ut8PKmQQe/sfm8pr/I Y1HdMrW55cH+wJxl9fBIwdtt/0BP+9rnSY5Vw7DlzaIfqjR4TKA9v6g6MhC1DaMEuQ9wBpkJ8LkY gdOY/t4nHljgPCpvMV1C5ljxmySpzAPYXKJ9dWK+//eoRZLH8FcFgzVPLAuXqKhiVvbAbN+yy9ts biUoUA85IvXroOwvhWXs26McMG1stMqJsvImWilTmUouHArUSC+Q9dT+dYnZ6aEM2Dxwk+ZFM7ww Dfsx6qIIbjALNPtgU/gSIzS3aTv7KytOHQm/1tOcjYEdLOe3fLIni4TnFolAVFthe5ErBMxeqNwA 8xlZfGBkPE7DMeZrByJDE6XkeHPu87jI7M5rFG9aiFB0jnXhaH2LV7LNqH1Sl4UD5Q0jEcqV7FhK GlC2HbzNI4E5+ptPCLaOZIIgn8pOi0ZTAISS22WaIBEmu66Boso4WLOCPekhMIBH5EHn0R9MawNR CMYed8tPibFfDcQcEBcsJv2UiQDikoVrntk5KujJR1geExUFUi3SwpI+TCi+RF8FUFDjBMo8DubR yvpB5p/4WFYJ016S3Jw2Iu1QZWHe4nURJXAIAb8iqsrMIYcHGRyBZjgDBaLsbbZ7BMBjayAzYTuw 5dQDhYC7YNmsHBwi0J8CH5pdpwnKQhTHVdeAWDU3LR8QA+ORCjJ7XUk7MIrOUGSTR247S1nBfdEj lFZy/+fu7dsJU3WeDg9vz2+vZ4/qXW533O/gMv7v/t8G443x/jADT6aMqs89RI26MoU0z0YTDa1A Y5RgEjurqMCztk3EOiNGlNApWeYZjtSVYfGBiDIJur728zOHRQuCXGUE0auX6ZBDqq8GXVfHB2tj wD+ad3BazO1fzBmdp7a3T5R+QvsHY2VXH5FJNsrNysRKKgk/FrFRJMYCwYgCwJhY6x32QL+hN3Ft CN49dCkb9KgoFrFgwgPhN5Q31wo+WGMkGTPC08AllBjKw3peHVCtdnJcpG29cpyGB6IIxNvOzPLc O2FF660wY+sSKJZl0TgwJWUCLwU8ysWwbGvYYr3nt+ZHPXbSfuTvWW+CvhwPT6evlMH4/nH/+uAb +BCruu60c4oNRINTx/AkWlNckG7eJhjk1HxjVJbuwIktU2BQ0+Ep97cgxccWHRovh6WiEkf6JQwU c7Tm1o2LpZVlE1PdYMZZx9PbAlOQEVsOyOYFikuyqoCOD6WHH8KfDSaOqKU5E8HRHVRMh2/7n0+H Ry0pvBLpnYIf/blQdWlFgweDbRK3kXRCAg7YGthb/k4eSOKtqBYU44xe9zhnCJea17q6VJykW4oV TjZuDmpaN2+sDB/LeI7pgZOy4ey+FnBjyg7Kzq2Ua2jgVcJFiXF87IjclRQxvaqLgNHPSmKwtFqF jU85vwPVKxAgyXIuS+oMs6QZy9/BUPO6Ik9v/RFcFBREp80j7dgNx2/nRP21dr+O/2A5h28yEBAx Qocd+sGsQdm/q/TavPT6o6vQitirT5N4//nt4QFNW5Kn19Px7XH/dDKjkIhlQp6rFH/OBw5mNTLH qbk+/2vGUYEompjioI/DZ+oWo6OhVsAehdrdKoPrgEhTZtSUwwYRZBhNZGJ9DyW53nfmJUXn/BoW s1kX/uZ0OMOVMq9FDiJanjTIIgjzwiScWZgihmOXi36mza4UzRxj3pryq4kkjtIj4T/8+y/qVbJo /FbGycazyHJIivkfmM/A9UF0qOCk530dFFoClziBHrgqznCWG/vhe+R3FMn0hEdqkkwEwUgWTKxb 06HVk9L0xDi8dHqhFy46f3nR31TB+v5he60oQuyiwnLqBoWZDCynSKSo0tt+G9s9QwWPyidZFnAx 19cfLm18Szc18In1+vrqnMUNYXyQ8/F6hRRKccD7rer+reFmoHZcYwa2EHIsye3HGEuICL0phEki aavAKI1we8L9g5Gs3PZqKuKS2nydoyFqUSXLgJxgfQSXQCv7PNp4sQR7C7Jiq9JcQEtoxdQqq07k dWuZ46pSSMub/YcOe/twVU5w/rGK3u/eG5s2nxzKNZhOZPPkTSPz2jGZVsUhPpTqlr6FQTXnh2Cw /DAFja3pHcuDMeZCxCqCqoC7VziGcMNxrWi2N37BW06uG9SZDbp/mR8pyETwelWqOiJrvzqNCERM ZEnRvPUHyJD/Z3Pn2WRoCO9euD2uilpissLNRrm6bCeSOtrk6rgZuNSZddrq9QhiWwoskF9njwnz ecR2tbUV96GGfR9rlIRzuQ/7xK+ITdaVy0afiU79AUtv77NAyUnVtCZPNAlWQZrJotlFrVFPgPow V+jVrqq1QaFZSkub5JbC0RjXovCvxRGBVmeOakLdhQrrP7yZ2HoLN8jSZ25wRcKeBx5tvNLj2Fa6 Gu1YEBfp23iPh5SzSlYquLJWRQHRWfH88vruLH2++/r2onjp1e7pwRSpBSbCwtgRltrNAqujflzT CkkKjbYZtVb4rNHigdHAjjA1mnWxaHzksAZRUCato0lIdXBPSkFi3crzcSCrWOOVVgkbDLvFPuUM qr5t7F5AVLfCzGfEGxhrTkkNA2oYl8uRfxgbPZJRmw0FbIjEHfztRzMhts0Lqo6wotX0clCOVSBx 3b+hmGXegqP+gY6bEN+msLY6gGDkL20uYq4a90DCMVxLWXrPnPZNCddFVvrJzLB/Bofwj9eXwxNa AkPXH99O+7/28J/96e6XX375p/G8ibHTqFyMTmN4x/eLvio2Zqi08Z4kRCW2qogcJiLUbCLAAQnf 7fj818gb6YmKfS4g7zzlybdbhelqEArJ3cohqLa1FRdBQamFzsGnwqKUHgBf5+rr2XsXTPqaWmM/ uFh1X2nFHJH8PkVCikZFd+lVlMA1noqqA3m77Uu7cFeJpg4OuWI2YZykZDQXesKVNY/mZDjWgwYO Dg/UWivWzDCTHydjiheqo4VVAq+qr2NV11YkDRfToFe8/h97oO+DGnG4QxapdXvZ8C438+Fq7Zr3 zah+HWGkgkI/qDavpYzhvFDyDcMQKbbKt/qmU+yrkgHud6fdGTL/d2jf4Kkm0VaC4a4RPHGm1FMH DgUSTBzec7zHkB0EGRCZ86gg6czLsmedxoF+uLVGFYwV5o5M/ah+sAFYmUWdSXY+sQHYuWPQz7O9 fDUUP6iBm+LgoQWPOBBhjO+Y6pAIWWxScQ7X5sXMqkCvIKtk+bEO3kPUWvKsdcOWjFmYrDHzpKSP mm2sGD2lRanCbYJkCL83XAfxZT+PbpvCODvJis94m/DumbwoVa8NBop4wkE/O42FXpcrnqZ/X1g4 +5JBdtukWeFbl8uZcmRxUiF3hC8wP0IuKq9Ujc5I2oJq0UzHIcGYg7ROkFJrb5xC0HLTfZeDgwTf EHTRDjLSVblI1ZrIvm7R5qpT0d9GIOUPInonoTkIjbAwVD4XbzY044IPkGx3vPI0gIvZ48e+N7Z7 EsMIrKJk9uvvKuOCFrvGO4eyqrOB/UYhj1IHJFrBLAfL37+uPnBnj3NbeAvcv018GqXC049nVhoR NJHW2kXimduS/ypQVjxfBj6gXCw3se2BpLnRdE7vqSEtKwYld3fzaIQCDUYzEEwgMXn9J4VWH57f XPHBTAwKyVkAD/i2f2/0Pw08D+gTjZ4sewOQkecoxUT0JPUp7b2pqzNLpruvxomeMuxTt1/OpPhF Zs19Nm3zrcrPUVTW5A1w9T5Hm8w1xdZXgr2UzTfqZv96QgYKZaUIs6HtHvZGxInWUmMo5bTWmLlg W1+nYPKG9l/n6bpVZ/G4C/CbPSuCr8EFerD/oR78jEMm44lGimJB51+4PLNJuWxUHgOGjnsTVRFt /WYtRJIqHacjZjhf0E0ZOYb49HEm1rIP68EuJaJKip6lYFsHFIvWygPo1u+/2Q1H4joqNp5ypxY5 gPXxVlqq7cLyWsXfvb4QH1VEhbpgnqckWnwFrtqM/F3Yx2BFBbeJqKSy5Lk+/wsfFgYNRAX3GxqY NEo67Z0tRsl0HTf8I5VSLKDdcQ0nW5gkS3LUqPJh74jC/d7ExcnGdqaZjxwSnBpheaiao13aBN60 gAufvaaRW5hM64QD/KwSJD9csq9X1MuVvEGdOvuuTuxF8EuNV+FTuPOgp6oje8cQfA2IpuDU/4Qe LMCdOiORc68QhDRMfUxw2wYCnhD2hl5pw3gMX74AHiNMUaE+gNTRYZqgdw5hk5gPd6LW+XpiE0CX i5LfpoTXGuMwAfH+eKRN1FHyaQoVEl0AyFAFTmL+5EPD9znar/TWduHSFkmVgUQ+MZAqzDdv1w93 QBq7918ldUIm7sZTpbEo5dZgIsaDyfQ6CO28KIsp2wBfBOqFgjKotu8PfKqmjTiniWFSIY6CkRPV FsyKiY1hvZhMnLEyiwTs1/D+J1eMxO8DfInw0IcUVwYvZVMIIUTZemWRXKQnuldFhwQIdFmAut1x 1SCWF5tkvLxwNsqC8H8u31YvFzoCAA== --===============9021178806849780056==--