From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: from mail-pf0-f197.google.com (mail-pf0-f197.google.com [209.85.192.197]) by kanga.kvack.org (Postfix) with ESMTP id 16A1E6B0003 for ; Thu, 7 Jun 2018 21:39:26 -0400 (EDT) Received: by mail-pf0-f197.google.com with SMTP id j25-v6so4265138pfi.9 for ; Thu, 07 Jun 2018 18:39:26 -0700 (PDT) Received: from mga17.intel.com (mga17.intel.com. [192.55.52.151]) by mx.google.com with ESMTPS id z2-v6si8039315pgc.435.2018.06.07.18.39.24 for (version=TLS1_2 cipher=ECDHE-RSA-AES128-GCM-SHA256 bits=128/128); Thu, 07 Jun 2018 18:39:24 -0700 (PDT) Date: Fri, 8 Jun 2018 09:38:56 +0800 From: kbuild test robot Subject: [mmotm:master 174/212] fs///fat/inode.c:163:9: warning: format '%ld' expects argument of type 'long int', but argument 5 has type 'sector_t {aka long long unsigned int}' Message-ID: <201806080946.h9NeMhUX%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="vkogqOf2sHV7VnPd" Content-Disposition: inline Sender: owner-linux-mm@kvack.org List-ID: To: OGAWA Hirofumi Cc: kbuild-all@01.org, Johannes Weiner , Andrew Morton , Linux Memory Management List --vkogqOf2sHV7VnPd Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: git://git.cmpxchg.org/linux-mmotm.git master head: 7393732bae530daa27567988b91d16ecfeef6c62 commit: fe3e5c4f07cde4be67152518d21429bfbb875c0c [174/212] fat: use fat_fs_error() instead of BUG_ON() in __fat_get_block() config: i386-randconfig-s0-201822-CONFIG_DEBUG_INFO_REDUCED (attached as .config) compiler: gcc-6 (Debian 6.4.0-9) 6.4.0 20171026 reproduce: git checkout fe3e5c4f07cde4be67152518d21429bfbb875c0c # save the attached .config to linux build tree make ARCH=i386 All warnings (new ones prefixed by >>): In file included from fs///fat/inode.c:24:0: fs///fat/inode.c: In function '__fat_get_block': >> fs///fat/inode.c:163:9: warning: format '%ld' expects argument of type 'long int', but argument 5 has type 'sector_t {aka long long unsigned int}' [-Wformat=] "invalid FAT chain (i_pos %lld, last_block %ld)", ^ fs///fat/fat.h:397:24: note: in definition of macro 'fat_fs_error' __fat_fs_error(sb, 1, fmt , ## args) ^~~ vim +163 fs///fat/inode.c > 24 #include "fat.h" 25 26 #ifndef CONFIG_FAT_DEFAULT_IOCHARSET 27 /* if user don't select VFAT, this is undefined. */ 28 #define CONFIG_FAT_DEFAULT_IOCHARSET "" 29 #endif 30 31 #define KB_IN_SECTORS 2 32 33 /* 34 * A deserialized copy of the on-disk structure laid out in struct 35 * fat_boot_sector. 36 */ 37 struct fat_bios_param_block { 38 u16 fat_sector_size; 39 u8 fat_sec_per_clus; 40 u16 fat_reserved; 41 u8 fat_fats; 42 u16 fat_dir_entries; 43 u16 fat_sectors; 44 u16 fat_fat_length; 45 u32 fat_total_sect; 46 47 u8 fat16_state; 48 u32 fat16_vol_id; 49 50 u32 fat32_length; 51 u32 fat32_root_cluster; 52 u16 fat32_info_sector; 53 u8 fat32_state; 54 u32 fat32_vol_id; 55 }; 56 57 static int fat_default_codepage = CONFIG_FAT_DEFAULT_CODEPAGE; 58 static char fat_default_iocharset[] = CONFIG_FAT_DEFAULT_IOCHARSET; 59 60 static struct fat_floppy_defaults { 61 unsigned nr_sectors; 62 unsigned sec_per_clus; 63 unsigned dir_entries; 64 unsigned media; 65 unsigned fat_length; 66 } floppy_defaults[] = { 67 { 68 .nr_sectors = 160 * KB_IN_SECTORS, 69 .sec_per_clus = 1, 70 .dir_entries = 64, 71 .media = 0xFE, 72 .fat_length = 1, 73 }, 74 { 75 .nr_sectors = 180 * KB_IN_SECTORS, 76 .sec_per_clus = 1, 77 .dir_entries = 64, 78 .media = 0xFC, 79 .fat_length = 2, 80 }, 81 { 82 .nr_sectors = 320 * KB_IN_SECTORS, 83 .sec_per_clus = 2, 84 .dir_entries = 112, 85 .media = 0xFF, 86 .fat_length = 1, 87 }, 88 { 89 .nr_sectors = 360 * KB_IN_SECTORS, 90 .sec_per_clus = 2, 91 .dir_entries = 112, 92 .media = 0xFD, 93 .fat_length = 2, 94 }, 95 }; 96 97 int fat_add_cluster(struct inode *inode) 98 { 99 int err, cluster; 100 101 err = fat_alloc_clusters(inode, &cluster, 1); 102 if (err) 103 return err; 104 /* FIXME: this cluster should be added after data of this 105 * cluster is writed */ 106 err = fat_chain_add(inode, cluster, 1); 107 if (err) 108 fat_free_clusters(inode, cluster); 109 return err; 110 } 111 112 static inline int __fat_get_block(struct inode *inode, sector_t iblock, 113 unsigned long *max_blocks, 114 struct buffer_head *bh_result, int create) 115 { 116 struct super_block *sb = inode->i_sb; 117 struct msdos_sb_info *sbi = MSDOS_SB(sb); 118 unsigned long mapped_blocks; 119 sector_t phys, last_block; 120 int err, offset; 121 122 err = fat_bmap(inode, iblock, &phys, &mapped_blocks, create, false); 123 if (err) 124 return err; 125 if (phys) { 126 map_bh(bh_result, sb, phys); 127 *max_blocks = min(mapped_blocks, *max_blocks); 128 return 0; 129 } 130 if (!create) 131 return 0; 132 133 if (iblock != MSDOS_I(inode)->mmu_private >> sb->s_blocksize_bits) { 134 fat_fs_error(sb, "corrupted file size (i_pos %lld, %lld)", 135 MSDOS_I(inode)->i_pos, MSDOS_I(inode)->mmu_private); 136 return -EIO; 137 } 138 139 last_block = inode->i_blocks >> (sb->s_blocksize_bits - 9); 140 offset = (unsigned long)iblock & (sbi->sec_per_clus - 1); 141 /* 142 * allocate a cluster according to the following. 143 * 1) no more available blocks 144 * 2) not part of fallocate region 145 */ 146 if (!offset && !(iblock < last_block)) { 147 /* TODO: multiple cluster allocation would be desirable. */ 148 err = fat_add_cluster(inode); 149 if (err) 150 return err; 151 } 152 /* available blocks on this cluster */ 153 mapped_blocks = sbi->sec_per_clus - offset; 154 155 *max_blocks = min(mapped_blocks, *max_blocks); 156 MSDOS_I(inode)->mmu_private += *max_blocks << sb->s_blocksize_bits; 157 158 err = fat_bmap(inode, iblock, &phys, &mapped_blocks, create, false); 159 if (err) 160 return err; 161 if (!phys) { 162 fat_fs_error(sb, > 163 "invalid FAT chain (i_pos %lld, last_block %ld)", 164 MSDOS_I(inode)->i_pos, last_block); 165 return -EIO; 166 } 167 168 BUG_ON(*max_blocks != mapped_blocks); 169 set_buffer_new(bh_result); 170 map_bh(bh_result, sb, phys); 171 172 return 0; 173 } 174 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --vkogqOf2sHV7VnPd Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICNbcGVsAAy5jb25maWcAlFxLc9y2st7nV0w5m2SRRA9bdu4tLUAQnEGGJGAAnNFow5Kl saM6suQjjU6Sf3+6AT4AEBzf63LZIrrx7sfXDUA//vDjgrwenr7eHO5vbx4e/ll82T/un28O +7vF5/uH/f8ucrGohVmwnJtfgbm8f3z9+7f78w8Xi7e/nr7/9eSXr19PF+v98+P+YUGfHj/f f3mF6vdPjz/8+AP8/REKv36Dlp7/Z/Hl9vaXi8VP+f7T/c3j4uLXt1D795/dD4uzk9P3pydn F1CHirrgy/bqw0V7fnb5j/c9fvBaG9VQw0Xd5oyKnKmRKBojG9MWQlXEXL7ZP3w+P/sFx/ym 5yCKrqBe4T4v39w83/75298fLn67tVN4sTNs7/af3fdQrxR0nTPZ6kZKoczYpTaEro0ilE1p VdWMH7bnqiKyVXXeZtzotuL15YdjdHJ1eXqRZqCiksR8t52ALWhuyWqmOG25Jm1ekXGgPSFr ltPC1Zbx5crE0yK7dkU2rJW0LXI6UtVWs6q9oqslyfOWlEuhuFlV03YpKXmmiGGwOSXZRe2v iG6pbFoFtKsUjdAVa0tewybwa5bgKHhpmGrlUirhjd4OWjPTyFYCGfsginmLUTOWDyRWZfBV cKVNS1dNvZ7hk2TJ0mxuPDxjqiZWhKXQmmdlPGTdaMlg+2bIW1KbdtVAL7LKW72CMac47OKS 0nKaMpv0YcVVt0IaXsGy5aBcsIa8Xs5x5gyEwk6PlKARgYqCyra6knNVG1j4jOmRXPCrlhFV 7uC7rZgnE3JpCMy5LdmGlfryrC+H/5zuC+W1w9XHdiuUt8hZw8scpsRaduVa0oFamhVsMU62 EPBPa4jGytZmLa0RfFi87A+v30aLBItiWlZvYE5gCmCxzOX5GZq4fmCV5NCNYdos7l8Wj08H bMGzHaTcMKVhwy/fvEkVt6QxIhLLNQgJK9vlNZdpSgaUszSpvPY12qdcXc/VmOm/vH4LhGGu 3qj8qcZ0O7ZjDDjCY/Sr6+O1RWKhgxF3ZWDrSVOCtghtalKxyzc/PT497n9+M7aptyQ9F73T Gy5pkgaaCQJcfWxYw5IMVIHuomALtWuJATexSgy50QwMn7/ApAGPm+C0e2J1ynLA2EB8yl5w QQsWL6+fXv55Oey/joI7GHlQEquAU8uLJL0S2zSFFQUDZ4tdFwXYeb2e8qGlAqOB/OlGKr5U 1tyFWpuLivCoTPMqxQQ2EywZTH430wMxCrbDWiUC9iHNpZhmauMMbwXIIewJUAMFG+isQ2AE tSRKs/n5WbNYeDaJIlzQooEGwRIbuspFbFN9lpwYkq68AbeYo1csCTqTHS0TO2hN3WYUiNi1 YntgSmujjxLbTAmSU+joOBugjZbkfzRJvkqgqcch95Jp7r/un19Swmk4XbeiZiB9XlO1aFfX aFIrKy+DXkAh+Fcuck4T2uFq8dyuz1DHlia1cwUoBuXBLp7SPo8Dr7L5zdy8/GtxgOEvbh7v Fi+Hm8PL4ub29un18XD/+CWah4UOlIqmNk52hq5QQuwWjeTEBDKdo4ZSBkYDGL0FiSnt5txv Ht0XgFCjE43ioLgWZa98dmqKNgs93Q2pGKukaYHs4TcKqOcK1t1HvAGHgWpxEY5o2g4MsizH jfUoFjxptqRZyX2pQlpBakD16G4nhQAQSOEhWkcBPbHbHjaTCRG3bIs6uPnu5CQYkKAZLl6E KQBG12ce6uHrLoyYlNgNG4tLgS0UYGd5YS7PTvxy3CNA5h799GzcE16bdatJwaI2Ts8Dv9AA MnJIB4Bw7tQ1hQgzNEbA0NQYIAAmbIuy0SvP+CyVaKT2BQxcGF0mlSgr112FtAe0JDekYwyS 5/oYXeUzUKGjFyCC10ylWSR4WHO0+ZxtOJ3x4Y4DGkHFOzoHpopj9EweJVsPkjJrgFjA+1Af ODdgg2v/G5xaUADrGXzXzLjvEdhYIUDMOb974E8KRPxgF8ClhjvYq0oYqqE4wGJatKxyP2SH b1JBa86reRhY5T2+HfqFonnwCMQYOI4UH9paRhG1C8AwZSTpEAEhBrBbiQmEmga+JGbDQDPR Grph43lhsFQ1rACgDW9HnM7y/NRLbLiKYG0pkxah2KRCVEdSLdcwRLDoOEZv7WXhD9bZ7BTe DDutABpzFCBvHBArIs5rJ4DCScSkuFiROvdxiYPGzrF6pdaWxd9tXXHfynq2lJUFeAs/sp2f PQF4VjTBqBrDrqJP0AyveSmCyfFlTcrCE1s7Ab/A4h+/QK+CuJVwL4Qi+YbDoLrV8tYBqmRE Ke6v+RpZdlWgo30ZgtpUrNOT7dxRExGlBwLhbdXQKu61DYiKlEIP6ZJxkNBITft9GOULMyF5 0ig4OYVe2gFzWtjRpQrl/vnz0/PXm8fb/YL9Z/8ImIoAuqKIqgAnengkaGLouUtBIBHm0m4q i/kT49hUrnZrQZcTxSBix7SYWqdUuCRBRKbLJkubSGCEpVJL1oeZM61ZF4XYplWgK6LyWwek UPAyDQqtCZCCB9CdKqJXkWas2RWjUZndCOGa94r7EtQ8J+Mj7Y+mkhBqZCyQGUSXgO3XbAfa D1o5k+aw/UG8yCnHZW9AnUCn0M9QxK4RHMHNQ1AFcBgQLkTg0cA5zAUxSiJft45TSa5UMZMk gNVOV3ClEIG0RcrWFk3t0sxMKbD3vP6D0TCItWyBARuDdNviSoh1RAQsg4ksw5eNaBIBmYYd wDCmi0OjVbOpTKEML3a9M50yAODp8g7Jgbnsl8uktdsVNyxE3QNaBO+/AwCCEab1B7ZG1KRi S7BQde7y4N1Wt0TGa0LLeCFWW1A/RtZWvCNaxa9Abkaytv3E/hNxD2x6o2oA7LAkgUmNzVBi n1ZE5QiULf4yDPOKtkaqkUT/vQ1S3dzzpoqF2C5loFTB2kGk4VA7mofJRjrZcuCfVhKT6PGi ulKXSZyh5aKZyR9zSVuX2Ohzk4nBa0bRVnb584hjCZhIls2Sh+jSK54zE8BhFw212y58hLRC ImxvPQPQJ6ywUU1JZoKBCTfItEha3ilrIkPr1pKbFdgwJwOFQsAem7JpAmDGYtSYaWJdbh/T 7LFeiLzbFskoCLwXYgKpKcGaoV1F5KR8cRtMg6VYFxQck4yDCA6gIgZ2xU3aLIW1PoRbLeSu NzrGB0J48JQ1kbGAyLUGxwBruQXt9LgFhN+A0bqDkfMJgUS2ebSGBsyq6XPDauuBwiOkuLpb 3hkeheeJjW/F+pIelLrDBSo2v3y6ednfLf7lwNC356fP9w9BMgmZuhElerLU3oFH0C6mJaTa srjTUSvPzuxNGuk4ztu3STXyed627+d0vPdozuOtGAq2t0KwpojJfW2xUFYjors88fIPTrIT 3fQyb3NQJfjaxjPAWZgDKbOcFD4VHBrVHHbqY8N899dHsZkOsnheccmzxGDG6NewpeImERhf g2znYTGtcntsaQ2xCmnbzEwKWv1xWlZ9nI4UUXKRWjQ7c/CuQpJBMuXN8+Eez+4X5p9v+xeX Ae3gKQG0YWEQRDQYE6cwf6VzoUdWL2QqeKoYx1B9hHiOT8o2HLhFPzAuFvr2z/3d60MQG3Dh Mhi1EN6O96U5mBpc1CmFFsFK9WdDfYXEzHqWmZo4gCO1un4v39x+/veQ84BJJkY6ivtIXu+y MK0VTScrPGGQJDxGILo+Hb+a2p7tgnpJcFZNnUgQDke1xAgEfaryzoSsrrrKIApiW/vC6k75 Z4jY0xxtiATsMVpu2ezpx8gyT4krq2266qR8tO19aNtmrMD/EM2FB0NdbnFQlOen2/3Ly9Pz 4gCKYs8FPu9vDq/Pe086Uc3DKxXBuTielReMAG5lLr8XkippbYEXGYCHK7ifpMVIR0QSDlYH XFhuwsYy8JhVkF7DUnZlwIfihYUuk5I088jpmi2lTmdQkYVUYzvHcqkgtEVbZTwhz93tAa54 IksJsmgcrmptLJDUiNUO0PiGa8Bpy9Ccw2IStClByN2VTdOuU5ZB8FI5mE01dDfmbTZV0vxO m/7+odDAGiX0a4GnF8Zln0bL8fbDRco4v7P3p0Y2+DY6faqNtKq6StMuwuZHAiAyw5uK8++Q j9PTUthT01CkWs8Maf1+pvxDupyqRou04FY2p8FEnaZueU1XEEvNDKQjn6dPQCpWkpl2lwwM 0fLq9Ai1LWd2iu4Uv5pd7w0n9LxNJ9gtcWbt0FLO1EKXMWshOiA4o/hWpTE/3t3icudb73yW 8nSeVpycFGHe2BolTD1VGEn52W5rXnnNq6ayx24FqXi5u3w7BB9QBl7QWT0vJumK7aoGNxN7 CtjABDt0Txo1JdhAr2KGBG2tJDNxPi73cxa1vVymMX5boseC+Hq8GxUSwbpfXryNaR0q8c5S O4pX4myurszUEFczF2G6c+PZGL1n2IgSDB1Ru5Shczye2e4qRXGVlQbMdmDUGN0/4yJRqJgS AF3siU2mxJrV1nJiTK5jt1iFnss5fC9d/fXp8f7w9ByEa36GyTnLpo4OLSYcisjyGJ1iwnWm BettxZapePAlgxB4126qpA9AjtMLiM7D1WFaFvzKl0IjQMcyD7rwD+t4RXEBoZo7Ju4tAKdK UAedRrPQF7qJpXzTwBGo0FiM0b21EAUJj+PshukUFkAKSDXPffZa4I0PcJgp8OAobz0bYm9w iqLQzFye/E1P3J+oQgJRQikoH1U7GSdUC4BIjkoS1z0t5Jsns5LRPqdrby558sNL3PqyB0d4 Zahhl8NY03WHdemHVZG6IakdGofmWDxQ21PiJJXrSuJtK193x5bcgcK0WhSyB8WtdRHV5Jyg zzIsm/jqac41JSr3G/bvNOAYV8JgojI57RJgpzS2a2sjRy+BZ0dRtilxwy0Dy+Wn5x3kE5jy GgvX2lu9Pmq02TR3yypXl29Pfr/wbvskkoTpXGfJIFpHr5kmJw/Rr6UQgXhcZ00q3r8+L0Ax A0Y9exDX75C97Nuf6wSzZkqx4UTCqh5eGfCbtyciloLnKus0WnZBwqbPJ4/W0zpevCLlBVV4 JwM0dVURNbmfDYosDXNJVhKsB2o+kOaszoqBtGQQ6WBUqRoZSoQNyMB2IqqvehEcGV312Nji jUVMbm09hw5wa9WyqikjkauMUuFXqwmsJL9ms+WdxRnAwckMmxU6zK4jaOiZT/2xShLbPAin YSUx+WAFMc4aD2ehXiM6kI0xBIXwIQhjWZEGt915RfrO33V7enIyRzp7d5LyDdft+clJIAK2 lTTv5fnoJOyRrAf+7KlteEYkVzvNEcyAcCp0NKednxkvrTB7oRV3KIWa+voW7kL9s9BNOesW XWQbBNAjBxN0watPTZ2PuAP0Ta6DSzZ9OhN6Sbp7kePJZZmb6TUSKxKdMIbmeUi+PP21f14A Frv5sv+6fzzY9Auhki+evmHy0kvBdMcEnvPpHlSM+Zx+DcEdlYzJaUkbZU6gHHPmlpbajKrd kjWLck1+afdy4NTf4IC+TJlPWQWt2d2Jh9VlZmevkQ1T6muP5dHJd1/SKkODUneAO/S6/ehg qHfgP38FAvfI22j46uGqlWw9yd27QyV8aNQdTWEV6T8ssiUgQwbghBuIBc3ae4Q13qhHXjvz ZTJ55NqSVLnhxJ100hE2h/c7C+26nmtSsU0rNuDceM78lzxhS4z298fn2iHxvDNiAOnt4tLG mPDKtC3eQO+pxxKWWJBpBUPSuQq3jCCoc43ZkFoxkIzgtke/XExjei4ObiIyzycbMBCj8tC8 TbfHNUiWS3Ba+CZgbthmxVTlA1s3mUYbAeqmwVbZCzRvwjeECBK65UKL1UgAgHk89JiWEMn5 pZYUhU/MKZS9RUJ4mE/314WLLhwOm9VZOi3p6s7c1PWXpGJmJWZvfjmJlWxyKaYv7y5ihE0j IdlxLk0x1TLP+HG8lgk7zGfyc/1Swc9JDbPIpRoSLyOQKOYy1QTY0Yt6yy6DPCwygD/uDxR6 35PaRzToYgz6gibs5f28TON3W5NDlEJ2bVaSej3LhbB8iygq+chhUTzv//26f7z9Z/FyexMe Rff6HGawrIYvxQbfNCm8azRDnr7gGMhoAuZuazuOPhTChrz7uDNPHKZVUGA02bBk9z4nbpC9 YP1/H4+oc4hg6pkr7akaQOseHm3+H/3YrFtjeApIBSsdXlhOcnjrkaIPqzBD76c8u9Xj/GZY hsn0YA5l73Mse4u75/v/uJNef23c0qRFZgwRpPUss0yS0r6t+bOszo3FTH4zuJQ1aNQ6SiyP hPezhB4JhenxK2shqqRNtTGRZCwHpONSyorXIuxgSh+ATNDRyMfDt4gzXLqaM4HyrTuRgjGH Q+k3q7aP6cI3/IDy6qVq6nhYWLwCqZ8dERvlV01s2MufN8/7u2kEEE7FvbEcBI/fPexDOxe/ HOvLrPCWJM+TMC/gqlgdABEnlbEFt2PIXl/6ES9+Aj+/2B9uf/3ZyyrTQEoQCSwF5hXSTtCS q8p9HmHJuWIzz1gcgyhlMgSxRFJ7iBOLcEBhiesgLOvHFZZiT1Fd+9BTR/NmCOazZn7ilU4J KVI+Nlyt4/aOHfki3jJN6m4PklDeS7zcOkwnqMnFZrZVqdLgxtKI5inFt13GN7F7aIciM3Hm N3d7PKUA2n5x+/R4eH56eHAvL799e3o+BJd6YGFbCpgUXIZ9GT03vJErjHltY/n+5f7L4xb0 Dztd0Cf4QQ+duZAdyv98ejl4A/Js/MDCHu++Pd0/HgINwFOs/nJwsGR9eRLWhZyymDzKHzp9 +ev+cPtnemShUGzhLzd0ZVhKO7pfoBHeY4TC8YNNvtpNmaFYVMFdUEux43YVxmyXrcKVaUjZ KiHS+2W57I2SdGqMYn4oMYFOFwdG/G6vxOk7qJJSLlLyq+BshZl3705OE5xL5lsIPLuqM1/r MT/vf1eUk3C3sQRUj+Qt5ckXrtCCy6h3+/rL7c3z3eLT8/3dl/Ai2w6PY9OSkl+8P/s9fWnl w9nJ72epTf9wdn7xbhy7oZzGM4lf3Lv54kHpcAAyJvpAenIu5r3yThfZRIzZ3/vb18PNp4e9 /aU9C3tUeXhZ/LZgX18fbiKXmPG6qAzeAfZErizC40p7HQrTlAMWxTvDKwZmwH/N1bWlqeIy vr1P8MFuzJksrLimYddhgrTLMp7Hv+Wiu6HGRZAtrm0sYhem3h/+enr+F0LKERl4N3DomiVf x9WhZOM3ODWSdhimTAaUhQqiQfy2ADu9t0jVDRgDUXK6m+dxJ0wz8NY2gjKlQazS2o+PQNds poMcwB4+8E8+IuduXUedkO7ZIP6mgLTSyDEjaU/fk3cYZStr//Km/W7zFZVRZ1hss9ZznSGD IipNx3lzOfPLShxxiRLPquYqMUzH0ZqmrqNHUbsaxFOs+Yy1dRU3Ju35kVqI5hht7DbdAW5L S9I43tKYnlkxN7T4mMSnDtP1C50Y4imsO4QMfqdOzHG8gYyxuC5qWVRkqOyLw8E3uZzXSsuh yPY7HEiFXccHIGmlwN7hx+Wxe88DD20y3/73prOnX765ff10f/smbL3K32meSteD3FyESrC5 6DQJj9XTL8ktk3uhjFagzWfSuDj7i2OCc3FUci4SohOOoeIydQXFVf6uEF18R4oupmIUjW+k 2yXrHm3bo9L5QUeK6pN0dBTdlbUXKiUSllzj3QN7Y8HsJJvUdvM6soJoXiW+AbTHI0cY7Qzn 6ZotIb7efq8/y7aqSPqCFyzqfxm7tubGbSX9V/R0KnnIRqIulrYqDxAIirB4G4KS6HlhOTPK jms99pTtnJ3z77cbJEUAbEh5cDLqblyIa6PR/QHxtfBqFS/LPYtkUcFQT5hSMnpwlEOduogf tJEVtqm0cO7vTeE20IzkbosrTFgtQ869e4Tinv2j9GBPVD7gJ1bRno5J4ClhW8pwR5ku2xA/ XItsbb8jkZkdE5Y162kwo41YoeCZoHflJOG08yarWEKbj+tgSWfFCjoguohzX/GrJD8VHl9X KYTAb1rSTr7YHn4QkZBTJ/Yww7AslSPAmtm2W+g+pmNZyMzyQmTH9rBHNz+hJpn1TGS29288 aeHZy1uEDrrIWNEDXreKrmko6I9BiWSOoF24cVyTyjhpRSlND78y0vBD5npc20AxHZaJXg1K z1nGkGlXC2oN1Ts4IuKoh8ZGadh+spQwDXJQlYKlXQCVJ7MIr0Da23f7gDD5OL93YE5WgxT7 aifowapnZ5nD9p1n0rlWHDqNpSXznee4Zxps6ZnDImiM0rcaRc2eU06NJ1mKpA27HwqOdjjN rJN6++U94+V8/vo++Xid/HmenF/wYPkVD5UT2Bu0wHCY7Cl47sDL0FiDGGn0TcO94SSBSq+7 0V4m9J6ELbzxQAox6cHREUXcOIF5Q4aRx3VZwV7kuWDTSnJE86gdtV93EKYNnZ2GMQsjHqrX YoDYo0gccb0gckE8VYxs6iTMhBGTSX6kg2B0kC7OifthoIfnfz99OU9C2+imcS6fvnTkST4+ Ix9a8IxYJAVZGFStSovIweZoaTA1Dhk9mGG0ZCFLrviK62IjWaYnVrYQEeFovEZPb9//D+2O z6+PX89vw6iMTtpYZN6Jixo0zUuGxjX+Rba9pW2/dEhHsqH5kwSjkw2rlr5fxfBOw35hNAk6 U4WlPHr0lk5AHEuPotcKoBWzywb2tTQ/UgrFBYUPsegOVe5BfET28ZAgNuxWJrKSZghaKXaW UaX93UgT96yjKdPg2dFOsxEpTU1cnD4/E0sRracaxDZEhLPIjoCAvtMG6N5R6XKB8lWPbNPp S+Jsxtv81iI4LA45zFZOu4CkleXHCj+hiqGOEcDAVTLsGGSMuF3TrRRZeURRWXl3ITsxtz8e 396NuXmAH5P0FWNeW2yc6u3x5b215k2Sx/9YkbCY9TbZw/hxynN8qSMTkyprfxnrY4Xh7+Sh zUpYRqGdk1IW3LNKbbZujtyBkwPaJSQYw0q0ejKa4iVLfy/z9Pfo+fH92+TLt6cfhnne7IhI urnfC1CD9dj3dB5MhItt1koJmaFqqI/ROYlegVI4frcMFL2TDKu4mdnf63CDq9yFzcXy5Yyg BVRN9QUjLG++IYofk8KGFI4zhGWYjand/bw5FVg6mh05pW7oIb7tHP51B6aPP34YV/pajdDd +PgFQ2idXsxx6tbYPHg4dMYy+rlai5JB7GzENK/3q13b8RumSCKyP0gG9pLupCHIymTn0WhQ XzgaUIVBY/oGoCG6ExiRNsqLvHhpOe4lyUDVYHMPsPn6Ru6uwCApjCpw0rd31UdEWqG3KV1I whDHz8tPEFxSZz+azer8/NdveNP2+PQCKiVId8s3deemy0r5ckldKSETA90jOD3E7mdcGM2p lJUGtpERFW9mC+dV4eaUBstiTfuKazaPi2C+D5aeqE8QUaoKlqQTNDKTdmZZY4KYbPB3rcX1 Ih9ga7oNHj69/+9v+ctvHGfcSAc0WyHnOwNNZYvQxHhB1aR/zBZjavXHwq4CrOEZI53bkIus RnDufldPhx2DulLtRewW0omgKgQVs2o542JCgUhk7pTyyoW+9VQL4QwiSwHFKqcAvofspdrn OhaYruWF3W5NV+E2riQKSzz0Ta+XsN1WeoJczRsGxoKsKmfR1ZRcLZfzmkyK/wE17VpqA91R j+SkwAXlX+3/gwmsdJPv5++vb//xLR1tAs+8KyQucc6eXK1nP392dHsOt+L6LLbQFlB8e4A+ 2BTdhqz/5RtsjhQBv2CUfthKu6JAaE6JBlNSMQZg6dgwR2Artp2pI3BGAXIRHzll1MVPL7FL DmI72pB0zgnt/B2aoQJ5ZP4bb1CrygJkACIGHVYW5BkQ2/AwkgVjOx0R9/n23vJaiHq4OqKK wOynhpmHdQqB35mwK9pZEJ1i8PidMGpbceMWWoQ1+5LDR2hsJ4yeCmdPyWg7yZAQjrcRbWsy ZNRB46cT1TaELuqFw2L1en23WY0Zs2C9GFOzvPuenp7ZoTRZF4rSpNAlbCfGvsnF2+vH65fX ZxP1R7FxPq5X3MCxo046DCbLetjBMmWHJMEftFGuE4po6zN8sAxpW0afEt2olMJlRhbzoKbN Yb1wyPhmResdvcjBiWIeCSQOKNG4kHJLf82lRW7wVU3DaPR8n87CQ5jJaFzl4dETaFAxPb8a UXks8Bof6mZ33frCUtkd0RqFj6kwPNjGzYJ80lgIjMZjZNQ8OIfsxNgNLX16/2LYMYZWCJfB sm7Cgoz+CA9p+tCtXcMdyjZtmKKbvYhZ5gPoUDv0XeT0zUslo1SbtSjTAFebeaAW05lZDZHx JFcIbYQe4ZJ7jFpx0ciEXrFYEarNehow0rtGqiTYTKfWCwgtLaBc2+BAqmDHbioQWS6nhqWi Y2zj2d0dQde12EwtLSZO+Wq+pLzBQjVbra0zegEbQRGTzqQHte0ubppIsc1ibRSPu59Eb0te zAdH075uzgHB8oX0gPKih1VTVsqALeSBGyDXUmBcQQGsbIKZHQrbupoJ3IUNZ9K+wzUd5m1g KYsDeUnUquO2QYCGqbYlp6xere+WI/pmzusVUchmXtcLyuWg48Mhvllv4kIoqzv59m42HY3u 9s2S88/H94l8ef94+/u7xqju3Mw/0BSHDTB5hoPs5CvM36cf+E9z9lZoX6EnWze6EqnmaFKl VAi84WZouSgsG12rNaaeMKkLt/GsUINAVdMSx9bgfkwJ32L58nF+nqBq9a/J2/lZvxL4bnv6 DiJom22Pmj1PcRkR5CNsU2PqkFGMjsM+Jkc3T6IYr/zrjwt2m/qAL5ikQyDxLzxX6a/uJQnW 75JdP6R4bJ//+vnlM9lc+DDthxHd4sJaLxCFF+N28Xx+fD9DLnBkf/2iB6A2/v7+9PWMf//1 8fNDm9O+nZ9//P708tfr5PVlgmqIPhGZGlMomjqC3dR57Qh9a7TvsbKJsPtaTswIMdXP0dFu iFzFPD61yNxRZ1cjNVdUtqFI9tJzQWqkvZE3fIjwVFpHjBM7CzYK4lzDbmjasHXwbpmDjn0x 3WNToykTUvfT4Pc///6fv55+uo3fXblQNbly+OtFeBquFlMqccuB1T8e2QioTwZteKxgw3g1 PoSME+izIBC8RjJoM18FNFzZRev67EInjESY4KtbSjJL5GxZz6/LpOHd4lY+lZT1dVVZN/T1 XKpSRom4LoMmkeD6h2uryT8QoV1yLBHaKNmLxEU1X10XudcATNcnoeKz4EZfFtC814dmtZ7d 0V5Jhkgwu97VWuR6QZla3y1m15uuCHkwhaGHmFP/TDATp+tNdDztaf33IiFl6kPwGWSgT280 gUr4Zipu9GpVpqAnXxU5SrYOeH1j3lR8veLT6diPJP/4dn7zrSrtEev14/zfk++4s7/+NQFx 2Ogen99fJxgK+vQGu96P85enx+ceIfvPV8j/x+Pb4/ez/TxIX5eFvhQ3IxOMRQIWgDEjrHgQ 3K3HjLhaLVfTLbXefgpXy5ryDx8O5dAmd0G/QyC0dH/DMVKZNe60FTpZMhnqeGoH/1TR2p5v 003pcRsdlOP72u5iQojJbL5ZTH6JoOVP8PcrtQlEshToTUTn3TGbLFe0H3XKOCifOYLfaPcF 6lSXiapFjnVerXKfndnm+qVJshx9KiY54tMBBoPvhTDtaS58lyyMH30Incfai93JuBJeZ1r4 l8o9XkfVgc4R6M1Rt4h+VdST+njDaOLzzcyS1IeeULr+pO3IQDes4SzkRPSFT3Buevrzbzwl qDbIjr3BgvBx/oJIyeN7fIEQHJbtNQ1NnxH88COcdPOymXP79RyR0AvjnC89y313VQoCd7TR YxBY00FhRzgse/b76qGIc7stx9/AQlZUwkbmaEn6wjqSpL3FzGAnnOeYqtl85gtf6RMljOOd j31LphIJZx/PnBySVsJFlhGZRx/sDrCVuvURKftsgpdZLMsnB36uZ7OZ1ySYuNAQRldCrnNa wei6OUu5bxpnckUPIQxkrHeke4n5FbDsZJVk9CeWnKbjVMitbYBVic9xO6HVbWR4YEOA4+s2 ekSbdTuUeUnBBhoy7Ruy9hzdLuiJtuUpHizoNWmb1fRXc9/Aq+QuzzxqEmRGf14LIYXmL19C yqpmfzB3wH22ma+RumBqy4DASP91owTOjvKQkqOFxyJR9oV0R2oqemhc2HRDXdh0jw3sY3Sj 0rIsHSc8td78pGy0VirFra9xVxkiCb6GlVkOMa1LzWVXob+kbvBZS1qTyMjgUKPQ0F6925C5 RFLXqmYq15c3TAL6FkMdstCDd2PkhwiQwjJpbkVws+7is+uD0FKarFCI8QqbiwbOdmfmOKfo cC8rZWFedItqlB7vZ+sbG1JsVSIuZmRwupngwE4mrpTBkutgaer6JqsD8x4+ly4IyYYlXv8U 7u8mPpmOnXK3tX4A28E8AuLRE68HOwhlhsKNxcgUfxLZLqa3BkfNbDyrwBONcKw958/79EYR KSuPwn6DKD2mvqgHtfeUo/YP1J2KWRCUwrLcdilJ6kXjCdEA3nJk2De56nSVHVGusGZ9JC/t MbVX6/WC3q+QtaQX45YFJdL3+3v1GXL1WZad+uSjWZ3xYH3vuUsGZh0sgEuzobXvFvMb81eX qkRKz8j0obSdSOD3bOoZApFgSXajuIxVXWHDutuSaL1Fredr8k7QzFPg+295KshPyOgvW883 U2LNY7X3eCUCn9UTWHuvs1CPIuEN6TskVUlbAk7hevpzfuPjjzK0PUk1aFPoqNnjhPneQSeK G0cZNg4mMYkJrWOsNAoDDMWd8wJSDEcDGM1khg8Cwy0ieeOI9SnJd7bZ/VPC5j671qfEq1R+ SjxDFgqrRdZ405GOe2YNDyxBiDyrjpzdwUhB3zA6045/YB519RPkCGqBJ5C3TG9u6WVoo5Ks posbU6gUeOCz1BrmCYRdz+YbT4Qusqqc3jjK9Wy1uVWJTCimyOlaYsRmSbIUS0HTsvAFlN5v b04BJUxYRJORJ3CChz9rRCuPbwjQMaKI37IYKJnYQK2Kb4LpnPKPtlLZ5kSpNp5lCFizzY2O VqmyxoZK+Wa2uWpC0SJ8Q++LopDcB8eNZW1mHpu+Zi5uLe0q5xhfUld0N1V697K+p0ph4vyD rrcR7GJWFA+p8Ljo4fDyeGtxjH7NPJuXPNyoxEOWF3B2tU4TJ97Uyc6Z/eO0lYgPlbWCt5Qb qewUCJMIWhTz2TEdm8o4v6O99cDPpoylJywQuUcEyZYV5XZpZHuSnzMbFKKlNKelb7BdBOa3 DiC1LB3TRjfQkREU9FVPFIZ0J4O+5lnndWj31ntViir2tZfWivjBFwnbaq6oeG42y9QDh5V4 0HKKgqYr+uSLfk5tsLQ2+5vNhiw4fdOLIjL3cNLzWPuQXYgdUx5QQOSXVbJ2nJgIPr0uIR/1 37VHWUA+/Hl1MmDLIqaXkVO7jBu/Bptw2u6iFK+K7e01vgYdXcXLkUpJZpqaofwmy7DhEdze RkOwnHezXFappINmiF5O9FArpUptOAgi0+EASjEFaLfeNi1ZZ4yheBeVhmIqSTNMH3eTXnnk Pz+EpsZisrThWGQZhYVXsgc+9pYWOlZ/cnrCcPtfxuhnv2JMPzoUfXzrpYjoiZPvpivFsw1t MeyMQI0fBgtjUyW9B2psBiKgfbBzqNBjmz+mo0aQLz/+/vDeusqsODhoQUBoEhHSoGfIjCJ8 iiKxwgZaDsJStO7kFrl942hvBSu2nJRVpaw7ziXO9xmfsHh6+Ti//fXo+AB3yfKDEj7ojlbk Pn9wBCy2ODpu7z3ZWUGMJvTFi7Up9+Jhm1vAjT0FVrFiuVyvLcuIzaMU+UGk2m9DMvGnaja9 o3ZnQyKYraZEncIOk6VcrZcEO9n7ysRQr2sl6mBKHAeCTl9xtlrMKL9UU2S9mNHt1Q6Ya6mT dD0P5tQ3AWNOMWDe382XG7o8Ts2DgV2Us2BG5JmJU2Xe410YiKWDVjZFFtedva42cPfwbff2 HVGEqvITO7EHinXIfB0Lmn5BmTaHmsMsXXj6dA5j+GqvVGnQVPmBx0Ah86hxlNMGv16EswJO P7T+cRHacnpRNRYO76IAawaCxBl7XE9pWMaSfEcx5iFFDSVB5fm2ZAR9FwWWqWBglKQOafEb Exp04BzwBbzUfI/hwtNaB+MUS8lQnGRmQYVcmFVqohoM2WkDGVn/loXaH21Ld+SCOWXyvkid WFnKnKoZeosllhY5fBEC+Ofl1sfaMttWP3Dx9WHPBjw0yUmG9zl1+rqIfI5FFh+obg+3G6rn WCp4Tn1KdSi3+a5kUU1WmKnldEYZPy4SuCceyOFSF4waxkiG7d7HQS2B4BVKc5UN6k+wIetr 1S1q0x2gnaIa+89SWFqKPmFAd3JGIlIaMrKwtFiDtavsa1aDFbMM1EBqXTaE9lv4QebcncxG vDaMEQY2nCuspbX7WFwwFZxNPTc63ZomFWXbKFO5aGwUY02yMWuQYiPWaEq6dSjRdD6m6Prn Dj0Iu4AOV342G1EClzKfjigLl7IcU5a99hg/vn3VEEjy93yCmq4JhGNXlohKdST0z0aup4vA JcJ/7XDVlsyrdcDvZtZFSMsBDdi3v3UCXBaKWv5adiK3wHbLK9nJJXWORq2wW4YKUvotsi5t yRuiFFZQZWs8dFaowmW0GqCZ4OA0LC5xdvP1lCZToA4T9MSaHheySA+z6Z6+R7wIRema8Mrl 3x7fHr98IMC9C5lUVYbudDSf8mmdFFuU1vadSWVK9gIUzX1QLz4Z0sOhsjIYCAjuenb2TZrJ erNuisq2dnYPyCHZ08uw3LRQ61lonVb0hUBl9wp/4AkLbVWVP3xGBcKDh5LXrLV3JOQpQfNV ijhHtpX5IeMu6NuI6UHX7dmwfNNn4vxz7rkNlSS+Y9bEYWJ7sjQ7RUWkdG8CaghiY23XVOV4 tVzU9oo01sJp1HozGH7vW0KHFPOG7t8jH9GuRzVKgKU0dIx1sBwtRh0ZiihK9PYR4RVkJzOB E2ZusiLsdAoFwRQaTQ6rNimjGe2rLwSj8+WgClI0PRUZHOi2NDMr9Q2i8aSxyS0PGeL0XhMR dSVAcw49ZbMMYTstBDSrBfND6UagmnwEGc188ZOGmH7dpzl6L0NN4W3OaWO328ygDM9WfEma Hk3Z+LBd0Z+ngexsZAl7LFb4HrcTvW11gKLcB608TnTeZRWs1zXNS6xHGa3+sl9Kt1iwivnr gsgcDlhL9vryG6YEaT2NtXs4EVPQ5ZCyek57Y1kCNVE/7PaEhrDpJGyN0CBSu1HHvidXv46p OM9qamFoGX221zKYraS6q2u6bhc2WUSflA4bHolZqm7HhXm9FWXIyE/v1Kn7iu1uTalO9JaY jOpV7XFA6kTQd8TNxpaoJWx5NWhZWo6oty1AdcKo+qXnNr5llwV9MdSxI5XAZLr17Rzvnhm+ iit3kueJB1atH+awXH+ezalQ+U4CY4wcVEuDw6sywe3W68dclNoU4rnWo83H8ZF3d3eGktcG khATSBapxMNjmNDYtKfRc98XUvv4pswttWDgOrdKA6MNExiRdyK3/bEH1lFSy5nJ7/S1Xh06 OpALYeXBHSnnmxXtC8GKAmMsPOgbefZQjOPt27ueyRe/4n7RBe0ganxgCPHNF/QL5QPbDiuG k3fgiXKVRY8kTWm5J+tNyYKv7+arnz1IWt+IijsU/TqHM7IQPVrTEck0WK6M7itIryUYazse C7QWdW+39loph7+CHmgmWctJ5azFHXUsZi2oPREW48tN6mBNMZgSKJkg/XtMsexwzC0rOjIz 83EkJDh3tkjq83fL5yXlXIycIzQCBrTXD8Q3VvP55yJY+Dm2UWXEtRtJJLxDoR0mkDi6i1TH gXU8eXCWuJ4Gqsb4qgr2wfElX+C+lY2t2z8QbJjYgKqt6NB+uU128UQ1DXQ6+7YPiOmh7tWe 9O/nj6cfz+f/Z+zKmtvGnfxX8dPWpHZmw0O8HuaBAimZMSkxBHU4LyrFVjKqta2U7ew/8+0X DfDA0aDykNjuXwNs3A2g0f0LXr8yubjXRUTt4d2lmYuDA5ZpWeYri31h9wXjFgphwCMX9XjZ kpnvhIbsbLSmSTBzbcAvBChWsNIo034HsQq2SsljK/WJJyStyj2py0zPvvO8DQ6tLYlpJYWA g/pPn75fXs/v/zy/KV2DKS4QRlNrXCDWZIERUznT4cQNfJa86XEOb5gQjG4Pdqh2AvBgYHnK P+AhfuM+4BYPCByvssjim7SD4UWdFS+0YyQVpJbgGAKsLEHBGAj+APBFks+BImasFefv4BN7 nTE8tDhQ6OAktKxxDNZUAx1jE6YxA3FHIpYGpqRC3OjAlPXv2/vp+eYrODDvPCP/Ac/hn/69 OT1/PT0+nh5vPnZcf7HdFDyk/6DnTmBOtNxPixFHi+WK+/NRVzcNlLZvOAMttSDaegYW03Vg y5eeY+8LeZVv0cCKnq4t9JSDiKlVrD5xN5wqw11eialDoq3722e5C5JULrXaPff2LtDc+fa+ Q4uqtbz3BljsUEybnV9Ms3thm2TG81HMHsfH4493ZdaQq71Yg43QRl7iOL1ceUZRhB9GS/32 XhpLuBPQkzbr+bpdbL58Oaxpgd1aAVObrukh32odpy1W96qfIzF62PTdW4zIbiKGYkuDQS0y tJYWClVEMT3gryZ5Y5SKTjqQOm9gZmcGN5TW10AjC6wIV1jmqONt7XYQbgMN8z0JE/7w9RSa z0dxVMqmn+r4Bh2GjCtOZk5IkIHYs1u+me4L/nN4iyFhbL2cp3KUWk7ctCy7RXmvksf3rUph ++nCqIadxVCxA7vIEWoa1tvxrRQDrcoSgGUVOYeytJytwx0tLfWnFxK6Fv1bl4dNGh7qGQRA uGro3mVJVErcmK1Vjqfn1TKVoywWCzgWseS4796MyCQ+veh5fblffa7qw/IzRfaXQOsdrHZd yOgw7B9+LsAlLfPQ2zv6R/lAQ5PIr8RuqfqHoomLy01ayCGsey2Lk5/O4JBvnCcgA9DPpW2o GnCC/WkOOKG11bTPD42SzRKy9oDHsHd8j2k5Phm4yky7oMaYkKkZY9O78iDwdwjdc3y/vJpK aFuz4lwe/tfcF0F0PjeI40O/IZOtRjt7cTBFtEbrk8xHj4+PPG4JW7n4197+R6k05UuWnqwx 3ckLybjJ6Ah92JoOOPAIYlRJILZiJj/sKhYblky9voSc2G/4JwQgbVhhZkc2L2OJO7lS6kce ptIMDKpbi55ckdrzqRNPpKSsCdTjtgHZu4GDTT9D7uk+ikLPwRLP0/u2SYvpYpHbvGnut4XF 19WQV7PetxYvMkNW6Wq1XpXpneXdQs+WZ2nDFDT8pK3nYivNNm+ufVL4Arj6yTLfFXS+afBN 7FDZm1VT0Jw7XEWqHIYsG0hjt4LwHooqK+JvKH6pu0RwIaS/4BVdz6Lm86wgKjjVsh9dDspU bvnpjAcWwoP+8/HHD7bf4J8wFDCeDnzoGeuwKIahUGh4ldX4LMfhbGcLIslhuIuzlXrRwg/H dfCSo/q9YGimKvO23GVGksKy1+Vgeb/aT3WGQzWPQxrt9bbIV19cL9KpbCbc1BqRNTBRD/c4 ebuPA+yygIODPiAWBbYO/NW1M5gKaW2t5ruI3Bh12yDqoo0jQxSKTvA95LuuXvpdsQI3XjqV uiGZxfJ5C5f09OsHW5fMfolYmst0GE4TXTNbYcam0kBxjIw53eJERtgBwakZ+ma+gxdxYHSF ti6IF/OeLMblIjPLrQnfFF/WqIcZMa7SxAk87TP6FpETxZZ5onfXfjLDj5g6PI7s5QU0CANk GupWI5nckKANYt/sXLqltgrbrbG7yqVh4MShUeeM7LkxRo7DvSEEBxIXW9lF161i3+zljBgM zQq7nGvNOnEkxxnmre1FmqjZ8lCsJ+aqemoiA0/iBbwqdPEzw54pF1wefognmjIjvs0bp2jT dZZuwWQb3ZVcqSW2HLmWe7a+f/luMvV5Mb4n6rkivh9bQj+JeijomloXp32TujNuQioe+dD5 9ESmnI50AA+iyJO7f/3n3J04I9u0ndsH94XHImtsIIwsGfVmiSN/REZU7/Uy5u7Q8LIDR6fh yOLSp6PihpoxiyMY8MhUKSIIOhVXv/L3BQCiOdhKp3LE9sQxPOfLIGTntVxcH5GM5xFaAM+3 fTe+LrTvWnL1bXL4/oHIduIqGONAFDoWILYCFsni3JnZEFdSZ+r1Du5r5IiUgtTkVLVol8jI 9gllsx7x6Ezwa2uz0pCZy5Z4ieUxsMyH5IdwmRqbiQrSGn0T0OQ89qjqsL1LhmIie7qpa/k0 TqaKjYSEZanApcbka9gBhomsg3ZkhBnMFTvqeO8MMWo5Fa3LeQpnhveHOK6rOEQ3rT2L3m9l emyjK3FIFARbunsGMO42M6RzqfPC6dISalMmCk9pGrFPPv/sRXvF97AKqPfUOnibfbaDWXvY sAZkdQ1vYJGqYPqfj1WRphdKdDdA+Nk66UbCTARHkLw44rlqlI2u8gpaQyq0Z/Q8LH3MpMcM VzoO0Cq9CMvfsrMbs+bNZTYqG/1+GLhYlsJUk78z37uz0HKfKgnPVNtkSnrWhjM32JtCcEBe nGXACyIciPwABZhOjGRFq7k/Q3Lq1OHIbM5lulnmYnqcoYOrt/SeGF5NGzi+j9Vu0yYzdBPb O7uT/2RqUqaTupsbcWgirE+P72xfi+1uh7A+86LdLDfNBm1KgwtrzIEpi3xXWg8l+sxKjzF6 5Tryy1oVCGyAEglHhbBH1gqH71oSJx7q72nkaKO9fO4iA74NmNkBtNgMCD1cQAahz8BVjgBN TElki0/R89zF4Ax2msV1rvIs0soNbs2lUJeILc45rQhSB9z7C0YHm3e0dO2+xl5E9nhGtTPg EXC1WtEZ8rJkk0eFJuaLCqt1m0GtYCuCO7a/xU/7hjqLXKY0YxqRzBF7iyUmyCIK/CjAn3UI joq4fhT7IKtZrwtKbiu0Xpdl4MaWsGoSj+dYDMc7DqbNpGj2rEtOpRNmDytT4tviNnR9tEWL ILC51eo44Lb7aieG074J0T4R9a2goLIu37ge3tPKYpXbYl0MPHyxwe2gJY4E/0BL2PI61ZeB w3ORKZUDHlIgDszQCYVDVvN2mWdKJNAtXGweBCB0QkRYjriJBQhjTFiAkmhSVn52gt9gSSxh iK1VHPATy5fDcHY1V/31lgT9ltyWwCbj8K9958rs35LQ8u6nX1zIfo90kSr0MSoWVpBRfbQv VRFu2CYxTI1GBqPNXlbx1HIJjkIsya6JMzk5lFWCFj7BRliVoNXHtuQ+okZxYIZ0QQEgw0VY pSPyADCT72F6YNUScVRVUMXQbMBJy4YZWnMARdHUBMY42B4WqQgAEgcpMr86SBSVra4stkZd EnrbYtMcI2Ojl5H9XyiZoIoiYompKwZV7kY+UrU5W4dnDtLgDPBcB61TBoU7z5maRcEn5Cyq sLJ1CNb1BDb3E0RQ2rY0CtAMqzDENcyMuF6cxS52lT8yUdfB2oYBUeyho5hD0fTklbJKiicV uWKVeg6yagAdm9cY3fc8tAO0JJqaKNvbiuDzeVvVbH8ylRQYkO7B6cjuidFFBFqEjnV18CRJ 6g1oP5h8DA7j0PZUtONpXc9yUTOyxJ4/zbKL/SjyUSNAiSN2M7MMACRWwLMBSK1yOtIXBR00 T9UUR8LLKA5aitWhAEP0Mb/EE3rR7QLNmiH57QLNmp9HTtcrP5w07pZsttrD8IG3Ivazy3Gb dee4Lrak8vUiVd8BCRIE9WkLcPSCzdg9U17lzTJfgUuD7nAYdl7p/aGifzs6s3ZE0pPXC+zz u6bgTlggUGE9JUKWCwvr5XrLZM7rw66gOZajzLhIi0a8eUYrDksCTjKES6LfTtJdKZTlmqSt 5S1ln84uFcI4WU5gANtX/t/Vb/5msX63OGyW6tPgODedm+LI8u2iyT9P8ozdbyO8fKBc/bX9 ZFaf100x/TERhJgXnpSpZf8pmOiaHLKWYtmN45mx+jNnD1aJr8+K0wg5N2D5HbHI7STXLm3J bbZGZzVwfLSmtJgrPh9kQ3hgoZ39uZyKFOAFFU/dozoR3obqqcaZSmGxCEuzYj3x3R7W87Wa rQPG33OCyPyJvU00lQ2fa0c2y6H+nFQpIjqQ1b8OopCksHAPOEZmXVAjj8JrAF2UKb3FucEh 94FUKwtaq6Z1AkOtlfkjw28/Xx7A+LZ3c2pY7VWLzAibyGn22LEAp6SNk1mAmRVxmPqRfEjR 0zw16H1VEGGBhXpn54nS1osjBxWRP289QCxd7bm0wXNbEvkYDwBWcUHiqL4TOD1LgsitdrgH VZ7lvvYcw6+CWnkNPHfB/C7wIvM7N0mDHoiBp4vTnZjizwwkBnFBaCa1tyDA6GHiAPpqjek3 f5wmDMUkCpyb7s1q7cgTBek5lKtOAG6LkKnmvJKkK50WniXRgig7QKCy9DYzNchNTN6fN2lz N7wUQ5nBiZfNmhMw66vGYT0CiX+D5UBu293vMmbwquRK4cB1y0GPWm7js73IA7ZP6eoLm4rW Ge6yinHoz+iAxu/rVYvIkYwdAgxo6Jj9Bq5SA/Qsq4M1+8CRKhvyjdTERz4RRfEMu7vr4Dhx IiRVnHj24cXxZEJuhsaagG0ojhbUjPLVwnPnFd5D8i/8/TVmnsonIsDUr2AGZEBv8najf7sm i4DNA7hRJ09kWu/JaH+ZK9NM001OvovRFw0cWwVtqHo9BjLNyURULmAoZlG4N3hkjipwtFWK k4xlliN39zHri7jhj0iKuptM5/vAcbSHtekcHBkZy1pHXre2BuUWrn/3vs/a6vzwejk9nR7e Xy8v54e3G2EBW/Qewk2f3JxBXy4E0T43m0ZKQG2LQ1r5fsC0ZUq0Oz2JTdgFq7UMdhmx0aIt PLrDr9p5b0zLKkU3pDUNXSdQJg9hzItvvTkk21bzj4/Wv6pQnI5GuxlgYQ5hJIvxy+e+qNwe WhOiMA2hpa/ECFUzQR7oCVp2CTZ0jZ5ucRmlsCiOOzqETfqqoUC7K2eO79hHKWOAiFHTw3hX ul7kTw3jsvID35hSRu9VtsIIc3A9ne2xBNf9hDG9oYkK8kTF9RxGvRE6i0pvpue4qwLt4NOA XfwGS8D62mPC8RQ8Q90BdaDvGnXWGf7Zy98xGMUf7N4NGqbScsGxk+SGWwXXulfffAmnFGvF 6nAgWrenI8ei2IPLwHXZpkssX+4AaiPcd9GN4lVo5IFzHn7MM8nFFKClNpQVEFSqSVk7DSrC MofdWizPKRKUBb6siEjIiv2ocYG6bRnahSSuue6tD2PiW8XfYLIY+45M/ZZuspo0jUjqDdqm TEVkU0gVkbdJCuKp3o41DLt5kTpeumK77yDAM7DuWUYWsWma/IZg2QaKZ+kBLWiZ+I5FAAaG XuTi9x4jG6z80bQQnMXDv8KNN6dbU19DVSRAe7yxwKqQqpZImFgupsUB49AoxLKGjUwQ2yBt E6NgcThLrFBo6WPdrmVSWs4TWCqfgxGu+WtcCaa468WbKnqCDiGxL3PQgdcfFuj6s8oRxdim TuWJE/wDbC+muGVXEA8XuN+/GUi92HzJXcfSVvU2jh2LYZDGhVpnaDyJ5TM82Cd4VrjyoW6H do1LbMomxdH3fyPCtMXAZfVowXptHsU839bpharuXRO91/8nZTcfA2qY61tGTr8juJ69otDr 2MxaAZ3Kj2OJa6tUQz2X1BiLp7WRQ3+0qCKyBtcQXQsjBxHFajw+KyweVRvwjEPWGVOY7Pi2 IDnqXBICuPEnLMJZ9HgI/nx6PB9vHi6vSJgvkYqkFXioHROPaifHRZCbQ7vtWazfB/+tLfjO 3dpza1J4FYnkpPHRrPkNLpKTq1KxP9oGQk/JHjQ15JBtpQuobZHlPGqkLL4gbmcl2wBu5uBJ NkXPDEY+M3WabSfCEQoeoXdXxYpH3lst0fYWrO1mpTqcZcT5ZgGP+xHqtuKXqCPCyqx1V6BU SkA2oIggoTJLumdFSWsIU/i3G8pQdr9K4biWy0/VZMK3Ic25i5FDuab0oERPAp5NmQ9PsDrv C9B/zasb3oAQRUXr9LvT14fjs+QEdqheYBb1RsoUddHKw71Q4cpQSVYFIWqJw7/fbp1QPfTn +ZRxiC1YwzcO83wlvV0a6QTcIaNAXaSu8R0OZS2hjuWscuTK23VlDwQqeMBFal3Yw3kKrk85 OE74NFm+T6XnOMGcZLjId+xDBBu1Est6VZiNIbAqtcyTEkuTwEML7J5uZFrtYget7fU2cBP8 2wzysZ24xnFIsHzZbthTj9QVLPItRx8aF7qJGnlorph6ScAqYd/3YjuG1gZlTbGfW5FPeHng vwDdu+s8uKwcCqbyxkIG6jx4WQEKrZ91A0sVfU6cwAoQi6if2XYSU7kkFjCWmqEZt3eu6+Pf hKlHfuMpQZtVXcqxpUaIqa4+Sl/XapRvGdrUWiQPjGsbB2istpFlSxzfQzsY02xU9+EjtC8a 4b67sIcRFpxfiD8Ribi23DR2iwKbXW3Cf2n8cLbX5GYNs8vnQmqZ7Hny3ltkzoB22y9R6cvx 6fL94+P5+/n9+HTTbrnnA2TF6pSGjRN72Gajk3vvMe1UWX8U4NBg55IqS1rS1J4BW5cn6q2t Qs2BOi9CdrV0fLm3xADssMMWnwsBbltgmG+ypSW69MiUWRyO0oryr2QN5rsP0s894nVWFnXn rVPJX8cntDtgT6l2sC2pLH9CVf1xVPrGB63ulIrPKy/G2l3QuQZqbfiOB2/3DtSaHWNp1FNq rpOBBZFdJWdSDT6nsGjnXc9LF/mBEIsJQc/D/WfiDbsm3bYGz2AGYSQqj/3rZbDy8Yf6U0zQ rnqJjCamYut1erypKvIRbMZ6/7WqhS3rkJRHrEd75DgsZ/J+tBuH28Fpa0cn93WTMyV7UTRV 51JU2xN4mv4/0rv9i0FnVbaWHQpKKbDthTw+VI3++PJwfno6vv47unZ+//nCfv7JSvzydoFf zt4D++vH+c+bb6+Xl/fTy+PbB30LAHuxZss9ntO8zOX4paJeiqa7TRFz78/H84WNqIfLI//W j9cLG1rwOe7T8fn8S/Kh2WR0YO1p2/Pj6WKhQg5H5QP6mGVtF8SzwdeRSHZ6UTMjx+fT67Gr Bmn0c3DxdHz7RyeKfM7PrDT/d3o+vbzfgCvsAeaF/iiYHi6Mi5UY7OIUJrbhvuEtoJKr89vD iTXUy+kCLttPTz90Diqa6+bnG+veLNe3y8PhQRRBNO2QFW94uGlPx77f99V95sWxI9zWNlL0 ANHK2k5XIoJD6Vq2VZSxNktjT35eZYDKTbgKugx1rWgSxxEOVq3n7C3Z7jXdW8WYqmyRdU9m VqwisxmNRzdK/Njn7Z11xuPr480fb8d31n7n99OHcRQNLaKyPnAXp/99w5qGdZF3iEqFJGLj +i9qzVc+W9h7M1c+LuZnB60vn9IBiQa37ky+AuBEptt6SaISRYGLNnOV2hgh/klX+6SQYxh0 IH/LZhtbIVVh+R3BkI50lWRNIcSOhummpSzJik39/9ykbEicH44vH+8ur6fjy007CvCR8JrP 2q0149WedSt5b8anV1L5gavVRLnMWl/yX1nQbLrAI5farP/1m0l7VU/iYvPA079iOnn7WJel WpaaB1cWkwdTzTrvxf2kdvONzXq8k6mp4OJNvFMSs+Tl+ZnNNqO5zx/5KnA8z/2Ax5TgidrL 5ekNHPSyb52eLj9uXk7/MQu0fD3++AcsihBHx+kSM0/aLlMIViKtPYLAj8qW9YYfk416BQPp rmjBXewav83MGtOHeUrqmz/EAkYudb9wfQCH5t/O33++HsHYeZjzq+ymPH99hRX29fLz/fwi rSGvbHq++frz2zfwgW5q5gtM8QN/R9wJ/qEkGXa+C2R+stadU0/mITOOtTbihmdW6fO9xYuB 6NfYKqLe9o0Ydy0xKWxdxcnMPexK1Z/EyEDT2xR1GD+ymLYjkgRZHeOnhRpP5OAZTLqJGnIQ dguWKhUv0g0E83gzZKgZukutp3jylb6zDTwnKmsMm2ehq56LSV9qyJ6sVsaIYD3/7cImzsfz 24+nY69KmhcdMOAIElZ3mbLf2G5h0UJYr3VZWnzfVZmcvh+im6q6v0JmP8tNtaJ/xw6ON+sd hPDqQbreyO5e+Z8HOCjXgiAq9ANEbC3TQn4vo+SyyvS4X0CqiZrgcLvL5FDEQKL5Z2OQAr1J d1WRFSqRyQNPo+QaBnJV7NnKvEZP3Ds5ADWE4+Wry83y/xl7su24cVx/xY8zD33HpVpcuffM gxaqxFhbSKmWvOi4k+q0Tzt2ruOc6f77AUhJxQWs9EucAsBFXEAQxMJrAjl9kNWU/foQaG9k XUNTZviE41Qt4OqYS7fiPZoNS6bQOX0PtMl43QXyFmM3Q75BWMWc08IsgH4zO7hmebPT4x1Y EJOGqyxA7Y82lsD5HNie1R2NC5XQM+6g9nDl9MpUbb+6XUy5Kc2F05bLwYoGPkJXJFTRYjM0 /YixR9y/lxvYA75EuQ1JfByrLN9RDd4OmXS3SbLY+FA3GwuA4gyzB9C9iLPFdrEhiiy2K9JL HpGltIMfIexjt9iYSuoRGC0XGwIYOcXTim+Xjm/9BF6SATJqZckZmUE6Z5jTIpOLzXbrwbaW Tz0OaLq5tU1GELrrpZIbOJnVVROwYydY5bArgIMg5swOJvm0czJaYBDlnRXxPv74cbFxO4UL UpKaY43t+LvoOM6iX1Zj9fAF+YUiI8NHa/4qGm+Nui3hCg3xwyQ+MLcCAFH7SC30VFIisELL NG6dunAsc9G4bKVS3JbXdZw6no8T8vpUa8dCb6fYRmo2upTLULAnjXYzgTp4vl6tw5MUS14E 3I4UuuP8GIgiNaNVuNJAAC0k6rfbgOXzhI6uowM53xT6EMgVpBnFchnRVtOIT7rtXSDUAE5k fLu4pQNCjpwl5IilFv/xBJeBcGnYOtvwrAB6E3gS0uj1+sqYaEfQuM9CqZKQpjvm4d5nsSjj K5OyU5FGgugyPl0trqunI4XO1YfRuvowvnKC5ztyXRjH0qJZ0u8gmslmPJAh7IK+MuaaIHv/ 0xrCMz9VEaYAyWZxex9eWiP+SgW1XCwDhuIX/JUG5OLdMrzpEL0Jo/MqlJhSyfqZDDMjRIa5 EFwGFneLMLNQ+CuLSjlgbo/hcZkIwl24b8RuEV3pQ9mU4cVZHjerzYqFxfgqZrITDW1OM15p gjnNAV1XUSAArj65jkUgcgrerDgc9lngWQvxFVuGvxuw78ItK2zAiU9L7oGknwrJ5d3tIny8 oh1IuufJlXHtBHxZHR63PY+30RVuPeJ/ckoqv5RGhrnH/hgF/CkQe6py5zjS+dSyX5TqzXqu U3sl1gs2IKcgHu7n6m0MxvAj+/dmZYlM7g3UeWUeQcP1Qwgp+nhBx/2a8PIYnby24HTm8YcA GL6s7Tsf2ctFFJU+fJNzwXxwwfM49YS8JM0iOvX6VA6jYG786tomI4EFAe6amrmKygm3jwWP w6ttTCwfXu8BowLAHbdBYftUdwUeHbN6vuCZr7AqrBDOPLsEW4fbTb3rCgsr4oP5fT1W6TeP 1VzUqlr7/u38CbX1WMAzsUT6eNXBUW53JU7Tvmt6HyzMzHIzaMhzB9pa73UziFvqHAWWPc1M FLLHXRX4zoSV97x2hpB1Tat7Y1Wkk7YF20kLDr9OgYbSRsiYC7ulVjQZv2cnaYNT9WrnwNpo YXujKqh+uQ+0CfO9a1R2NUPrOMO88WaV9GFlXLsQlprGAxrWOICP8FU2aMeqhIvM/YJdLqiw JIgqmrJjVqJ7DRnIHA+qsqbZlWwo4srR+Slkt9kuqdDRiITuTkvVKnR/ojT+iOnTstlZ0TY4 3mFLxx1QtXwSXhgoA83RQsWuh3fMreR9nJAvB4jrDrwu4trrPAiOHJhAsOUydbJQKCDzJqlk dbOnDxWFhoHA7R9opYphnKqml85HVvFpCvFjVVdxDA3T5JRZkMI3qHpx11fVlx0n2E3dcbeB GuQLSq2KODgCnDWH+zSuMYpV2YgQv2xZDV9o6i40tIsxn50DBT5RphkJvLxl0GiYHEljUo+5 wNYF4RSELel9j+BVTKmJECkYlMq89SeaNI1DUwKsTQ+bBatkb+Y4VsDGyfYLv8P7WUVmR5NO p5KOsVLC+cS8LxvNWUOfZmXMxZ0pGKtjyS1l6gy80rEKxPr3zck2nTWhHift+L5xewu8QsIX hnZ1AZvX4bRdIXrZ+emsTXi42z1KAEMrl25HDjEdHUrhOK8anx8dOaz4QJGPTDT20EwQ4lj9 eMrg/A/yKB0lcij6xFkEGp7CZ6PLnvrlCAulMkCbU4aRApQWO73NaABGCu3lMydSJCvDWEmF W7YpUg4SatfBycRqONhrG395ITeA7ouCkuxFWsDZJocitZuwyRyFpypZ18CcUjbU7EA5hxEG XDhgL9/QUMDzjZliSLZMwF0vbGr900c2NTrdzu0tgIZDAQylvFY7UiWl4payw+URbmDIpWN7 XdmBWhB0UMOexLk3MGrtvHx/+0lCeFV+c3e8vcUJCvTmiIuh8F1dFDxLdnSUopnCipJ3gRK5 WRHJxsZCI3Pso8Vt0XrrSeUVWmyOVEdzGE8o5VZr0WDweIxGdqXpyzAQUGoJzzgpgzM9Fw+M R0+Mh02wWEZXei3L7WJBDcqMgJGjxaQLFRmwFtFiG28263d3/rhgxWMcRqtCYjg8vDJLRj0I uay1Tc9N+vTw/bt/sVOsI3W2jnqyNmVGtXkyb7A7OxiXziUE58j/3mifiEZg3orP529oUIXm oDKV/ObXH283SXmPTGqQ2c3Xh78mW6SHp+8vN7+eb57P58/nz/93g5nTzZqK89M3ZRH2FV1Y H59/e5lK4ofyrw9fHp+/+Cbyar1mqROLDaC8DUXTUUXU+GZm5sAL2InyOSN2cdAHYabJMFKK aIhMnu3Twxt839eb3dOP80358JdhMKvmsorh2z+fTZ6kqsR8J01d0jdX1eYhpWIAjKjI/RaE DW4gVG0P9/D5y/ntX9mPh6dfXtHeBvtz83r+/x+Pr2d9pmiS6ehECzuY0/MzmjV+tmdFNQNn DG9B9LaDQM9ocrR8stCz0aWeoDfGTNIJOGvgLJOSoRgbMO5Qh0DBQYBgIXdClbRtc+tzXADS rFghMHqqcOySTAK9uK4PxkQbXmQ4RWpiSGbQS3kXOT1HOdyfHQ2drJdC/FQTXXRNVBXabPt6 DTEXaWwFojWR4n65MC0aDNys/iE7XyxXIefJkUSJKQWLO7J2dHNHLRgrPdWi2UwL52nI6W+i GT00qi3ZEKtatiMxeZdxGMKGRO65JTMbGN7GH2gETc9g7flCrIMcOk73cbuIzCgXNmq9dN3p xlUTw23OFaWn3h9oeN+TcNTAwRUfc3gG5mikuD5J96X0xJYJ1SQclnLQjXkkq9Ju6ENjUeG9 PFB/1ci7OzI+sEOkfUrIKo59wBXLIKrjfeXdXzSqLaPl7ZJENR3fbNf00v2Qxr3nEz/hgE3h RSgsUY0sok3b7ZEKR2cSxbnHOw3U0MZwxQtKfhMvYgJu0FzAjpaS/B55qpImxA47Kg6Etc0T Jt7DORMofwQ+R97TTZZ0CEwQGge5V8oJVdW8ZiEGhQXTQBB7s3N4Bx+qn6ygA5dF0tQ0q5ay t6zUzLXQ0buib7O7bX57t6SLWSEi8HCzb7nkKccqvnEaA1DknCBx1ne9x5r2knn3WcGbsG97 yXZN5yb9VYjgNWQ6DNLTXbpxdlx6ctKBq2M/c7Sv6iKHJ4Ot3lefhS8sGQgKZXxyPo5L+LPf +TxyQgwpqcVRX+PdmUCeqlO254kIZmtQfW8OsYARpBT3qhrmC9uswLTQ6uaT82PXB6V4LlHT mjunxQkKOBPLPqohOzrLouiV93G0XrghDwrJU/zPcu3yxAmz2tw6bvzKdx2GHf3GmHQVQkXc SP2oMq/l9ve/vj9+enjSlwF6MbeFMY316Hx8TBnfu6Om8iLu6RRYXVzslXO6pXOcgFo4TU6T Zuiq/Lkk354v1yOvW1quvS6hm0Qw5yUZC8cndMMeaCSOwaDeSiMCO943h7qvhqTPc/RLjow5 Ob8+fvv9/AqzclEX2VOS47pw2dykV+kzPzaEQOhPtAZuofYYR2T0LkRW+7EdB7b0NRt1i6RK pRKqDNv3LokJFOoDKUwVn6my9Xq5CX8YnEdRdOdsuBGIdu5ugwq1pY2F1Cg293TUZLW/d9Ft MMSMnvcjBrJx2IJ20fDubCVP4JhuG6mf8cxZHtCC3OEVvbbZcCn7OF1QMDwy4vREoCIPtk9d kKeezmmNjv6v7eBgwscDNnwJnujiNCy/zURNwsLhOGaq+u9Uxf4mETqEyyvamJlW1HAc/o0q A5ZGFlGFzmyTxipwuk+0OSyUQYYnIB/yEJczaPxV5CDJ5WTTeJvbQKP3xs974a06swF3kRq4 y9K8nDqnlkwaonZS2XJgyvaYHSh9cVVZbLY9CPRGYVVF5iPRWM+BvEqHBBNGEaAprtnWeOrE eA19TAegg3Ljma8Veir4g47/8DeeHrB4+IBErMyKUA4LwB4SGUgGgv3ieTVIShhF7JSu3h4D bazm9EDALaJw9N8WSZrcheJ1A3avgv3RM6TwvX2qIqyXRepCsoJvRFM6lGgjhLYlvfmcpjr1 oUi9j+kaWfAkdhWLBkXVmcuCVZiqzrrWTbBQYqLz15fXv+Tb46c/qKB2Y9m+VndXuA70lZ36 B/Ni6aVIdVDOC9dr7O8st6l5tTQCkeJmovfKnqMelluaxc+EAsQIqrMznpoifNG0jSLwl/YJ MQfkAh2U0QnRkCJJBF4JarxfFQeUuuudsodR3w8U/mSoYkZqFhMct73XiSStNksyTtMFvd76 fXczmDhocXu7WC0WtDm1IlH+0NQ99IJdOv1Hf18zJfkMfBcdvR7qoL+h+qH779Z2OFgTHkpL pmhsN2HdCUyYsSKAa6+77XqtoiBXzqvvjA2ksL7gaQPvGU9miBqxWytk3QS8M33bJuDWfBQY 1yuDG1YV89JBqEFb+1Mwwq8kbJqoNqSbmEJPaQi6uOv9PeTnArXx2rc+VLcbJn4EpotoJW+3 a6+1OYRucLtkkQ5/bZcbk0LJVURqXvSQd8v1O3fFjyGxHWiXxhgN2WumK9P1uwUZTX/eVOs/ ncoaDNDh91guF3m5XLwLVjZS6LzCDj9SL5+/Pj0+//GPhQ4GJnaJwkNlP54/AwVhw3vzj4ud 0T8djpagOqLyuqmz3IS6WJXHtLV1PRMcZjJUCpM/eEVqnt5tk6N3MOI3da+PX744h5KeD+De u1AALnyJwYSFcJHr6MdQDv/WcK7XlLTDYJkOsBTRpEWmwrRHUijPjgeh5mcpKi1t4zCS0rui mZSWdkm4Md8F3C4Unt0dAy4RI3odXUHzbbS9W9MHzETw7m59rYZlyCtyREdX0Wy5uEpwDHg4 6dLr1dXK4eMCseMVXmyjzdXy6+uftg5l8NDouyWdlqRLbW9yBGAq9812sR0xc02IC4Ujzqp4 NOoyS1ygARETDQYy1x4CIwiwesdNDT3C5iQuIBHVrJQ2FhPp2ZDGMH9EsU3EICjuHL1Ndhji I0d6SqjPJb4dmulHNVfnANtYyYAwzSx+jV+HiudfYImh2lWWcvGCoob0oHrlhr3WUOcTFCF9 EyhkP+qq5hFPnx7Pz28W64rlqYY7xTHwDQC19cGXORpEzDOj9qTPDau96eKJtaNS1Oy3PCg4 0VzcHz39P8y6KG27pyJbre4C+rZ7ebsgM9XxCr825XywDKDbGJaU8xP+FYqf3jpg0ahvWRvT rxBaVofrgpSOduWiCyBFTFzaZIjJpDnuekYm/MUydvY7DcFMhL2301QGuu8vv73dFH99O7/+ sr/58uP8/Y0KG1WcWibovKogkMGcU6focbsxQkv6rCDGYB7Ts2XgbGSiyHIaJ3uQZOK2ayjb xIyVIGhVCW9MnoBAXcTaLJq22W4D/DLv3/MO9ozfmkei0q/T6rtdmw0tXG9ZhzmCSJKi1YYZ IeTVwYL1Fisvxmv9RKnqvo2zcJJRbbMs0fOvpRvS/A6WVNkcwlPzk4ltOcjsdA/Q/ryLxdXP GDUdSTeI/J6XgYznI1UR+hLVjbRqr6VwTYtOpRZf5vTuHbl/3cFhHA374B1H0yk3pH3Ii1TT 7JOOXh5jU1enpa2upNbkSQVHNj1Yx2axHljSNJRqZvSaIDbPhPkQ0JGpl9thV/W0jKY7LQIW 1eN9CR0YAOIG3L+s/D2sfX5tEnFUeGCaZS/QvxNZ+HJI+o52TBrr6WveYU2GFq08mqa9U5cq LZVfIJNKctQEu9CWt9ZJmBaiqdhcc0ibVZZx3Vw6QHQ8Le/RbLWEie2NCD8FxogBHHr3wplm iBNaJYG4f9uxCtOnl09/6Oh7/3l5/cM8Hy5lxns62V1EFzKjI0sZVUxpp35GJ/l6GQhpYlMF 9E820ervEAXiIRhEaZayu0C8EIcslITYJJPoZDykNBs0CPcpXVdxkC2vXY2rnjs1n/LlxyuV XR4qlUJdUtaG3gGgbN+5UPVzsB8dgDIpM5cStUYgwFhi8iQiVAX9FNqmpEA4iu9ObWMD6t2C ZggwZj0V4lvHTD5/fXk7Y1hlY0Qu1x2GPkcYRc0v+O3r9y/+KIoW7hfWjQkBSnKl7l4Kqa4A O2V3UccdN0M8eQQAcLGzEDjxN4y2d9Ce7dpt+uXH8+fD4+vZuGdpBHzXP+Rf39/OX28a2O+/ P3775813VND89vjJULnrCJ1fn16+AFi+pG6Y0uT15eHzp5evFO7xf6ojBf/w4+EJirhlLly6 cdOnK+zx8enx+U+n0HSiqbdx2Bm9yZdREs2Fig2l7yf6583uBUo/v5gVjChg0vvxmW1o6oxV sRme0CQCIRlXMpoQ2QKmQYJWVRKYLym0Xujm1KPBijC81N63lZ6+x0sfffl0N04eO+LxOg0I +/PtE3D70QnDq0YTe2m2R/AsDS1XgUgeIyF64yzJZL0XAie/4IgQHWY3jD24rNZrM+XgCJ6M iKx3r0ZY/p48ILPVXSB1BJzMScC5vz34oW+5+KCCjhO+eeIDGuYbWglghDt0T4uPQy3+vTA6 2aKpP20JJRjalsGPS6owg2kpuzMeVpLmlSHPwA+4n9wz7VloADu4i2qbegN4ELxjwxy6/3If QjEUmBzU4o1GW5xu5I9fvytGcxmK0eB+tA2ba0rSCjMpqWxZESLpUS9OaFw0RNu6UsZsxGda NFibdQoBsgJhtWhquK1n1WZDaseQTLFfbTRnMBYbYbrgI2oSk8dmDQym+FhEZhRsxSKsVLdV amnd4GfojRcwZTsHyGjPr+ib8/D8CZ1enh/fXojosiK2buVdAccFBgIt/dMxfv78+vL42dIS 1ZloyIAdmRmysIYtYy2QKe2zXjpeS8Xh5u314RM6R3kdlp1VE/zUJk/UvQVwcP6JMYOzFenW wBUMbhiJdphwbg4d9SabtzuD/4ySSCsGPqexvoyPiwwZrWGdQ7UTcwnp2iu4FOme0nzMVOPx Z0XomZE8ZavbYANVnBbHRqWKD7WQCJ6ZibXH1lqh0kD2rZWvUJUQbMftp84mNzG0XkVSPYCj rGnNcKXcFgLxN3LK0POtLHllXcMQoLcvptOctk/++Pr1Pw+vZ8ragGXUmp9yleAZYyciRB2T SKx39yzNkjiQlaXi9J6quH6kMdWuAErjWk0aKl9rOPRYzoGJ64DQ1ppGd8aBJznaINe0dU1+ GNJ8578FXRRZOp7J9K3e3u3OX14fbn6bBs/OopE/Pp1vNOs3Ja0UOs+GQyOy8UHMWDwSZXZz MOFkjywz2REwHOOuEz4YbR6PUK/lADEhJUt74Ty9XUiWTjTlEXSpMlxsrtnq0Mrt+MrtoYMK 1MLqVJwc34mpiIUzu74Kxm5+n2TGuYS/5ve+yzRUiZom48LBOIipaBNnDdIMBuKUvu3PJCpi Na9zapsa1c9T69fwk9kw6YyxnOt5r1C0SiyM2uUyCuEwxnYQmXQiXGvNyytF88greZkb67QN rSi88rrrWcNG+8CmJavnsN0Rz2vrLosXIbSCOFkUdP+o9ZrLuul4biztzAVwDZge46eCsUv3 oW866xFPAdD8Wl2Tlb0mavlo4RHtOccSwNFq5yOcOkNbSGM7wYwN8iGvumG/cAGR0/G0s1gT ZoMKTbXGrZwdl/cYOYuib/ZMlPHJob9AYX9kXLC0G+APvZwJ2rg8xCfoIVw27DcAvwwcM6bf ioGpcVkcbesEA32EuVefO6shHz79bj4K53JiR4a4oA8StBIKbKKRouCya3YiplSmE43HATW4 Sd7jGGCED0PdhSjl42FpcWdocNkYJHOf5i/OfgHh+F/ZPlPnpndsctm8g4uKdaS8b0puZjz+ yNEt3OxUn7lG2lpx0Mh/5f9t7NiWG7d1v+Lp03k47Ylzz8M+UBJtsdYtlBQnedGkWU82s91k x3am278/AEnJvIDenWknawDiFQQBEARZ97+qoysDnMdFZQvf0Gx3N1FbX48pWvCZ8IaB9nh+ dkXhRY2mI1itn3573b1fX1/c/D7/zZpCi7TvFnQARtUFK0ibRLvNx+d30E6IHh5eT7ABK1+l V9C7MpKHQWHR1O4KryDsMuZ4EV0tg/JAdysyySnzfMVlZbfKUwC7snGnRQHoPdGjUZsq7Tbu lyA6E3JuQbddZEMqwV5yjg3wT6ALlKBy6rtPD23HS6o8ENKg+K1sKstwHEu0ftvyU/12Mkdp SEQbUMhzn7xdR4JYNflAnzHIuu6QIvqlERhRPAptE3mVVeTIGCLkALBFs6r1Wk7ZCCBA8DSL S2EnGsXN2f+pR8KqK3gxoq+kfdalfw9LWz0HAKhVCBtWMnFiJQ15/A5Aypuclh+pcNkIfx+R 6gq95mw1NGtMRpXHqfomZZHzYoUP1oSNDGLgDlA6Je8Bjz6KRl3ZP0L4C+1ry8R7PdvFH2M6 ELwspl2ymMZR2WFV8GOUvY5wttCjdB9AursfTpirOObqIoK5vjiJYk6jGIcfPdwV3VmL5DJa pf30toeJNsa+Fe1hzqOYIx24pB3sHtHNz3p5c3YZrePmgnKCep/HOnxzfhNv/BV92opEoLAg Ww2Rjd0uZn4aCfr2qajbvUijwr78Vo4NoFeZTUGF2Nt4b8ZH8HmsRuo8xMYHMzUirn7a1Bgf TJ2NtHUebew81tpVLa4H6X+moH3kEwxWBFXXvvc/glNedLY7/QAHo663H4+ZMLJmnSDLepCi KKjSlozTcLDnVn5XECFSTFNAbcATRdWLLixRdZNsXdfLlXAzzyIqquNmReg4X222b5u/Z1+e nr++vr0cdNtOaQVC3i4KtmytsHD11fft69v+q3oB+PO3ze4lDNfUb4Kpd8scnU89A1egQ/AO NRSzNUxqvYl7DCnOLZcI6lGm/AwGlT7hGfM20lHD6fu376DS/75//baZgZn4/FW/iPys4duw Q3pTRs+T7aUdYWjq9qmbc9jCtk0hIs+2H4iyNZMLWswtswSj9UXTUTsurzCKULkioDx8Hg80 bUt5M/iybzvtYrPMLLAe9Zef5ien1iC3HdQG4q7EXDC0BgAKfaYKBiqSoK96lWZMJZOJBSHC ZNfrilMqVJjfIIcquWynXnjDCIoleozQiChZl9JanU+kx81PLeeMT1MHF3hN22o8DtKKJL7H 21DySmWORitMWtmoLOBknOp5+nTywzrFtenCy+pOY7TW/8m5DTnLNn99vLzope2OOr/vMLN2 5CBFF4mE6i0HynDFQmBkMIbU9fO5mKEC/gcJFrmt4hFjit2fNAgYjw7x1SQSlFZ0rMUCejSV dspETlM0MxWMunOtAuHMgINlW8Dch3wxYo4V3+HxfB+N8tZUd5S/aUqha2j0pYawFQYRZRgd 2ADCR3Thx4af8ZD72CjlYpmXnMy6fBgo1Vd01S2Kek0sWxt9bMhyDIwI/FDI4bPi/fnrx3ct xPOntxcvGGjRoQXbN1BSB/MeSdWDAQi/QqeRQ44n9B1r6Wle34JkAfmS1bQx22AMKsidoaa9 6A5+uGNFz51bBCJVu2vdW5cLWhCMWWh1KnDcGtZfaYbkVRYewzizgJWuOG+EnRXd8AwoP2Uz aQk4JwcBNPvP7vvrG8YQ7v47+/ax3/zYwD82++c//vjDvrZXj7fJ8ZoA9fJyI4FXqNODiUKV gf09JiY62BA7fh95wMdwHBEL6ZH8vJD1WhOBRKnXDevobcm0at3yyHarCVTXYiJZk4y3+wrO m3CxmXHDt2BhQykWKCfpClVVsAQw9VRcnB56Zwoj2uUqk5Z/CFlOIQ8wtRtDBzErAOcZx9d3 q8yNFjJCVsvw6DjA/+aFWp9PjSvel3hiiObqNuxAs5tGqiMmEbu2qWlSUBPBDIFdPPQ0y7Sn d2tAqEjB+BwgRWyiLBIU5zDkRTEJjtO5V4iMnXkhlt8SxxI+s98apUgG6pBHqU8QQQvBMEO6 X9jgvO7wVWS1nPkYskZbr2YCBi5lLWFb+1NrevS5jj45OEpTQI1V+kDfGMITRouBw4uzmKZM oeyE/rgnLvpKa6DHsUvJmpymGW2bhbd2COSwFl2OETOtX49Glyk++AEEaS0zjwRPJRS3IKXS gf1CUvOhLsU6Y1CtVkGJXhN1rakb+y1RIOk0ZJbVgkGnit7ZaZADkGla6Fgajo9VlBKTa+Ws d+t3yhvDCP2CDGE4r9OgW6epzoRGzozV1ggyUHeM2vEBCZrKImiK+TaA6317gh7UmDVw7rHG mLk380umytMT2Fag/cEKDGZ2RExqYjjKfEgwOWJu7jp6NoKDU0FIkcMxhcanH3D9Z+Y799R0 ogJeHfGRPinuOBThNiYcSa0THRnJMcu7qI/Izh4amHBi3oMJ6RgI8SYu6MtS1PF68Dz4ePKA w0oeEhBteckkpejZi2iis8fFJvhpo3Xf+B2m52WNOraL0mG5epzi2T9Q/xMZVy8lzM9uztVN YjRi6M0GL3bD1h47T5cguGA3VM3H2vHqq3Xutcrc6FGVj1M91tHWkTcxFUkUmxx2DFCYjuzp CYaGHLmXgh4JHFOSbLQUlSp4eT4pZ9YSxVbm/B6PmYIOovenQndL0URZCelWQNhFnp1VBMpN R1vrCp+IriQfC1HYvhdZ0LajhqKikHiip27WxgrOmZ3rC0MbsSUOr9vkY+iiB55O7d3q+8Ap Oa5eXrpzoBwR1aD8FbCNyj4IwmsZXiMhX4LC/Vd5AlbLzAn3xt/HvAZ90rJKu2TEo5KaTrQH Yo87HTA2exCt3l9tRyOyTdoZCrtQEI8Ojigfb38bdV15eO3Lh5zJ4sG4fO1ibTi+OxNJ/GFT qcSxWUJf7VQ30DtcEcc0XCq1TVb3wG7aVR0YFhgYUfRkti41i5NUD5UNGDjFTSph4HByf31y MPZ9HMzEnMZpjjwkgnWxuPd+OnMmS2OxOlr2HCg4HRQ8UUQXw0RROXm0DzE9VhPt1hnjQZ0B MMkixnLaEIF3ExZzgZfI+2Ddi2j4nq4J9qLIc5nG7CvFMdMXWcr4it0savpqMAro6NbUV2uM hpOBF1rfvts8f2xf9/+GRxXmLc5DVfqJK1SnAYWSPRJrar4ldae+RfXLL9qEaRoMWSoghiyH Mef6/Uiq+DHQFnZr3qorSEpaOJIwHnc9oha+eaIuFFU8U8ZaWjcP2nPCOueRNZ/oCIoMkgd7 V8Wc6sshtIcNlFeVMJtLfMVI76uk40Jz/2E8WBqujSks+bcpkELNwiHycfvv9/377BnfEHrf zr5s/v5up2/WxDAWS2Zf9nDApyGcs4wEhqSgFafqwZs4JvzI3ZMtYEgqHYNwgpGE0wli0PRo S1is9aumCalX9s2SsQTMnEw0p2UBLAs7zVMCWLKKLYk2GbhzOc2gkN0IJnM/HDLRqlM85QgM il8u5qfXZV8EiKovaGDY7Ub9DcAYxHfb854HGPUnZLZygvs9ZX2XczIPkCFoRRmWtyx6bnRc lNPhPIwZpPRlto/9l83b/vX5ab/5PONvz7jIQPDO/nndf5mx3e79+VWhsqf9U7DYUvsFsrH+ tCT6kuYM/js9aeriYX52ErnyPy6/pWjnp/Rxv0cTiRGziE4vImkIzPDXsAlcnkcyGlg0cy+D uTcV/NZN2z9xfc5gMw7vfyYq7wA+wrULhzVJQ+5ZJCGsC1dOSrA7d29OGmghaWtj4u/kCOvd E9XAnriWymGiby8+7b7EOliysIe5l75rrOloO+70R/rM7PVls9uHlcn07JQYUAXWFxxpJA2F gSko0QHIbn6SiUW4InLvJeVxhIm14DFedh7Ki+wihAlgM0xHJMJ+yjID1iWqR0Qk896Bwls9 Af7MfnNsXAs5m1NAKIsCX8zDkQbwWQgsQ1i3lPOb8Pt1o0vVioN69SHkQsZDHgaY8xaWBb64 viRGETGV0Gx0VBZVfSLIIF+Dl2k41wmYom4Gbw9BpM4d2ZFhXhxBJa2bKDByxgt2tnAXZKlt d4QhMmJEF+M+6Ze1ytkjo0LHxulmRctOT6hWmM3kmDjm4c4IikPjpHxw4UPb8lMzyz7jnROt aJvYvb6RN913BgP0usYpjHfCEMTmaETrFk8BYNvNbgcbeMDtoDEW7l0Fsw081gHs+jxcUsVj yJ8AyymZ/dh2WbDjyae3z+/fZtXHt78229ly87bZPu2plrKqFWDrUvpwJhPfmWljIluIxkUD 4i2ilI56P1AE9f4pOnzxHg/wmgeibnWihq7an9U/EbZGUf8lYhkx8306NGniPcO2eVGAI2ZN jSfHzCtZNIbAIlty731biigXi2q4uolksLUI01gKqAPJLd6Lyq9vLn6ktDvMo03PYql5fcLL SI7eSOV3tIOYqv4XSaEBd9Tz8RZdmPvSGT3J6blg7UOJbxiCNY+ODfROBcs33Wz3mAIJrIGd Smm9e315e9p/bE2oqXe+r+8wWc+AGydNzF24urNMCRPjJR6Z7zq+U+9ZVZHskhqbyrptzXvu 5moRUWsiKiaNB3UxCtDi9a/t0/bf2fb9Y//6ZmuuiegkxzSk9s1v1Tw7G8x47tp2skrRsyJV MhTbwrVJCl5FsNDDoe+EfetkRCnH/kJIfdAQ4ptU+LkCRpQHnrzfC1QFQKntRFMI1xxPgW1A xDmg+aVLEeq9UFXXD+5XrkKNmrR1fmPxq8IUIuXJQ8wEtEjOyQWhCJhc6w3P+zKJHKoBNlKa dVEHH5AKDIr02mYKDOxxe2dQsK3iZq6eCHShmC7Ehz9CVSiU3V1bQYO9HDZxomSEUiXDtk1S w2ZOw8lS7h8R7P92fQ4GppL5NCGtYPalHwNkdgrJA6zL+zIJEG3DZFhukv4ZwLw8zVOHhuWj aEjE/SMJdhSmcWURLlgQtvgadVE7ypsNxVLttZSkufNDXS0YTwSsZdu2dSpUUjwYGMkc367K E8JLH6Qe+XUWvzr1sjN4t8tCd+MAqlRj9XEzyKplZ7UPYeYifN3Yan/Tg2HopH25tSVkUSfu L2KhVIWbwyQtHjGpsAWoZeY+S51ltMKEsSlgaFPxwmUjnBzv8GOR2dfwRaay8oCktoZ4Epo6 g6H9znGrD37tZpkzZ+os5f93cTmMk7wBAA== --vkogqOf2sHV7VnPd--