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 216CCC4338F for ; Tue, 27 Jul 2021 11:43:29 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 0809561A0D for ; Tue, 27 Jul 2021 11:43:29 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S236532AbhG0Ln0 (ORCPT ); Tue, 27 Jul 2021 07:43:26 -0400 Received: from mga06.intel.com ([134.134.136.31]:32496 "EHLO mga06.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S236518AbhG0LnX (ORCPT ); Tue, 27 Jul 2021 07:43:23 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10057"; a="273504162" X-IronPort-AV: E=Sophos;i="5.84,273,1620716400"; d="gz'50?scan'50,208,50";a="273504162" Received: from fmsmga004.fm.intel.com ([10.253.24.48]) by orsmga104.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 27 Jul 2021 04:43:23 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,273,1620716400"; d="gz'50?scan'50,208,50";a="498770389" Received: from lkp-server01.sh.intel.com (HELO d053b881505b) ([10.239.97.150]) by fmsmga004.fm.intel.com with ESMTP; 27 Jul 2021 04:43:21 -0700 Received: from kbuild by d053b881505b with local (Exim 4.92) (envelope-from ) id 1m8LUX-0006ky-2g; Tue, 27 Jul 2021 11:43:21 +0000 Date: Tue, 27 Jul 2021 19:43:03 +0800 From: kernel test robot To: Christoph Hellwig Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org Subject: [hch-misc:dax-support-cleanups 2/10] drivers/dax/super.c:168:6: error: redefinition of 'bdev_dax_supported' Message-ID: <202107271901.Ghnnw1tF-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="LQksG6bCIzRHxTLp" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --LQksG6bCIzRHxTLp Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: git://git.infradead.org/users/hch/misc.git dax-support-cleanups head: 37a8092dc083090f4fbd6a7699561dd959f1e2b8 commit: c9ee3712f2faa1229ec35bc62c0e34c9a81a3589 [2/10] dax: rename __bdev_dax_supported to bdev_dax_supported config: powerpc64-randconfig-s032-20210727 (attached as .config) compiler: powerpc-linux-gcc (GCC) 10.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.3-341-g8af24329-dirty git remote add hch-misc git://git.infradead.org/users/hch/misc.git git fetch --no-tags hch-misc dax-support-cleanups git checkout c9ee3712f2faa1229ec35bc62c0e34c9a81a3589 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-10.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' O=build_dir ARCH=powerpc SHELL=/bin/bash drivers/dax/ If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): drivers/dax/super.c:70:6: warning: no previous prototype for '__generic_fsdax_supported' [-Wmissing-prototypes] 70 | bool __generic_fsdax_supported(struct dax_device *dax_dev, | ^~~~~~~~~~~~~~~~~~~~~~~~~ >> drivers/dax/super.c:168:6: error: redefinition of 'bdev_dax_supported' 168 | bool bdev_dax_supported(struct block_device *bdev, int blocksize) | ^~~~~~~~~~~~~~~~~~ In file included from drivers/dax/super.c:16: include/linux/dax.h:151:20: note: previous definition of 'bdev_dax_supported' was here 151 | static inline bool bdev_dax_supported(struct block_device *bdev, | ^~~~~~~~~~~~~~~~~~ drivers/dax/super.c:449:6: warning: no previous prototype for 'run_dax' [-Wmissing-prototypes] 449 | void run_dax(struct dax_device *dax_dev) | ^~~~~~~ vim +/bdev_dax_supported +168 drivers/dax/super.c 69 > 70 bool __generic_fsdax_supported(struct dax_device *dax_dev, 71 struct block_device *bdev, int blocksize, sector_t start, 72 sector_t sectors) 73 { 74 bool dax_enabled = false; 75 pgoff_t pgoff, pgoff_end; 76 char buf[BDEVNAME_SIZE]; 77 void *kaddr, *end_kaddr; 78 pfn_t pfn, end_pfn; 79 sector_t last_page; 80 long len, len2; 81 int err, id; 82 83 if (blocksize != PAGE_SIZE) { 84 pr_info("%s: error: unsupported blocksize for dax\n", 85 bdevname(bdev, buf)); 86 return false; 87 } 88 89 if (!dax_dev) { 90 pr_debug("%s: error: dax unsupported by block device\n", 91 bdevname(bdev, buf)); 92 return false; 93 } 94 95 err = bdev_dax_pgoff(bdev, start, PAGE_SIZE, &pgoff); 96 if (err) { 97 pr_info("%s: error: unaligned partition for dax\n", 98 bdevname(bdev, buf)); 99 return false; 100 } 101 102 last_page = PFN_DOWN((start + sectors - 1) * 512) * PAGE_SIZE / 512; 103 err = bdev_dax_pgoff(bdev, last_page, PAGE_SIZE, &pgoff_end); 104 if (err) { 105 pr_info("%s: error: unaligned partition for dax\n", 106 bdevname(bdev, buf)); 107 return false; 108 } 109 110 id = dax_read_lock(); 111 len = dax_direct_access(dax_dev, pgoff, 1, &kaddr, &pfn); 112 len2 = dax_direct_access(dax_dev, pgoff_end, 1, &end_kaddr, &end_pfn); 113 114 if (len < 1 || len2 < 1) { 115 pr_info("%s: error: dax access failed (%ld)\n", 116 bdevname(bdev, buf), len < 1 ? len : len2); 117 dax_read_unlock(id); 118 return false; 119 } 120 121 if (IS_ENABLED(CONFIG_FS_DAX_LIMITED) && pfn_t_special(pfn)) { 122 /* 123 * An arch that has enabled the pmem api should also 124 * have its drivers support pfn_t_devmap() 125 * 126 * This is a developer warning and should not trigger in 127 * production. dax_flush() will crash since it depends 128 * on being able to do (page_address(pfn_to_page())). 129 */ 130 WARN_ON(IS_ENABLED(CONFIG_ARCH_HAS_PMEM_API)); 131 dax_enabled = true; 132 } else if (pfn_t_devmap(pfn) && pfn_t_devmap(end_pfn)) { 133 struct dev_pagemap *pgmap, *end_pgmap; 134 135 pgmap = get_dev_pagemap(pfn_t_to_pfn(pfn), NULL); 136 end_pgmap = get_dev_pagemap(pfn_t_to_pfn(end_pfn), NULL); 137 if (pgmap && pgmap == end_pgmap && pgmap->type == MEMORY_DEVICE_FS_DAX 138 && pfn_t_to_page(pfn)->pgmap == pgmap 139 && pfn_t_to_page(end_pfn)->pgmap == pgmap 140 && pfn_t_to_pfn(pfn) == PHYS_PFN(__pa(kaddr)) 141 && pfn_t_to_pfn(end_pfn) == PHYS_PFN(__pa(end_kaddr))) 142 dax_enabled = true; 143 put_dev_pagemap(pgmap); 144 put_dev_pagemap(end_pgmap); 145 146 } 147 dax_read_unlock(id); 148 149 if (!dax_enabled) { 150 pr_info("%s: error: dax support not enabled\n", 151 bdevname(bdev, buf)); 152 return false; 153 } 154 return true; 155 } 156 EXPORT_SYMBOL_GPL(__generic_fsdax_supported); 157 158 /** 159 * bdev_dax_supported() - Check if the device supports dax for filesystem 160 * @bdev: block device to check 161 * @blocksize: The block size of the device 162 * 163 * This is a library function for filesystems to check if the block device 164 * can be mounted with dax option. 165 * 166 * Return: true if supported, false if unsupported 167 */ > 168 bool bdev_dax_supported(struct block_device *bdev, int blocksize) 169 { 170 struct dax_device *dax_dev; 171 struct request_queue *q; 172 bool ret; 173 int id; 174 175 q = bdev_get_queue(bdev); 176 if (!q || !blk_queue_dax(q)) { 177 pr_info("%pg: error: request queue doesn't support dax\n", bdev); 178 return false; 179 } 180 181 dax_dev = dax_get_by_host(bdev->bd_disk->disk_name); 182 if (!dax_dev) { 183 pr_info("%pg: error: device does not support dax\n", bdev); 184 return false; 185 } 186 187 id = dax_read_lock(); 188 ret = dax_supported(dax_dev, bdev, blocksize, 0, 189 i_size_read(bdev->bd_inode) / 512); 190 dax_read_unlock(id); 191 192 put_dax(dax_dev); 193 194 return ret; 195 } 196 EXPORT_SYMBOL_GPL(bdev_dax_supported); 197 #endif 198 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --LQksG6bCIzRHxTLp Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICEjt/2AAAy5jb25maWcAnFxtc9u2sv7eX8FJZ+60M8etLNtpMnf8AQRBCRVJMAQoyf7C UWUl8dSxfSS5Tf793QX4AoCQk7lnpifR7uJ9X55dgPn5p58j8nJ8+rI53m83Dw/fok+7x91+ c9zdRR/vH3b/GyUiKoSKWMLVbyCc3T++fP39+enf3f55G139dn752+Rsv51Gi93+cfcQ0afH j/efXqCH+6fHn37+iYoi5bOG0mbJKslF0Si2Vtdv2h7OHrC/s0/bbfTLjNJfo/PJbxe/Td5Y 7bhsgHP9rSPNhr6uzyeTi8mkF85IMet5PZlI3UdRD30AqRObXlxNph09S1A0TpNBFEhhUYsx saY7h76JzJuZUGLoxWLwIuMFG7EK0ZSVSHnGmrRoiFKVJSIKqaqaKlHJgcqrD81KVIuBEtc8 SxTPWaNIDB1JUamBq+YVI7DAIhXwfyAisSmc0c/RTB/6Q3TYHV+eh1OLK7FgRQOHJvPSGrjg qmHFsiEV7APPubq+mA5zzUtchGLSGjsTlGTddr1540y4kSRTFnFOlqxZsKpgWTO75dbAQWLC UlJnSs/K6qUjz4VUBcnZ9ZtfHp8ed7++geW2InJFyuj+ED0+HXHlXUt5I5e8tDRuRRSdNx9q VuOx9c1pJaRscpaL6gYPjNC53VsvV0uW8TgwkF4oqaBvUoN5wbiwSVl3JnC80eHlr8O3w3H3 ZTiTGStYxak+fTkXK8swPE6TsSXLwnxe/MmowsMIsunc3mGkJCInvHBpkuchoWbOWYXLunG5 KZGKCT6wYQOKJGO2TneTyCXHNicZwfmkoqIsafWcF7OBK0tSSRbuUffG4nqWSn26u8e76Omj t/1+I21ky+HEPDYFfV/A7hcqsDaaC9nUZUKU5QV0h4saLau1HK0E6v7Lbn8I6YHidAGWyeCk LTsDLzK/RRvM9dH2OgjEEgYXCacBRTStOJyF15PTBZ/Nm4pJPdVKuqrebtpour2hl+nQtdZ7 BqTmT96vFH6GlolSo21GYl2UFV/2Zi7S1D49t7dhEWXFWF4qWF3BAhvRsZciqwtFqht7A1rm K82ogFbdgmhZ/642h7+jI2xKtIF5HY6b4yHabLdPL4/H+8dP3mFCg4ZQ3YdR3n7kJa+Ux24K ovgytAbUZ61NTl/dTCV3fvT7l3CJISOxN/EHVmB5Q5gelyIj6FXsaenNqGgdyZASFzcN8IY5 wY+GrUFXLaWWjoRu45EglEndtLWxAGtEqhMWoquK0I7RL85jNTqQ5nHQBtyl9qeyMH+xPNZi Dr0Y76f3SG4/7+5eHnb76ONuc3zZ7w6a3HYb4FqbP6tEXcpg+KFzRhel4IVC6wUIwYJiEuQS CERK6L7CcTGVoDCg7RR8l4WRfE6znFonyjJiRYI4W4DkUofryupD/yY59CNFDX4cQ3k/uSrR QT84ceDFwJueYma3OTnFW98G1qnbWNhN/7601QEot1IlgbaxEOgG3JMGhCdKMEl+yzBGoSeG P3JSUBdPeGIS/nIKNQBqSlAHqQAthkhCGoZArCBuTP9xMVGVEI0B6lSFc65UZWCPlJVKY3e0 gIHfG2q/hhx8CQfAU4X0Z8ZUDoY09udGf0bk1OADy2EJyddt/HE9M2j3InjIENeDdJalsCtV aINjAlAhrfVMevm0hrwlIMxK4QpKPitIloaUQ0/czi00QkgTp/kcAGVwxoSLIJ2Lpob1zwID kmTJYS3txjpbBqPEpKp48KQWKH2TW9ilozTOAfVUvWVo6BiTBj4qgg4v9qI14MWMZ5hCg9OL CV3I18XkTUH1qVlToDozGUxTsg/hA89jliQsdC7aotAomx6yDapFzyeXo3DWJrvlbv/xaf9l 87jdReyf3SPERgLemmJ0BBw0xDm/89an/2A3FhDITS8GaYxQWKdDWR0bSBsOCJChEQXJXdhi ZEZCyQp26ihqJuKT7eHQqhnrwEWwNxBKATZlXEJcAjsXudu7zZ+TKoHAnoTHm9dpCglnSWBE 0CPINCHIheOXYrlxg5CK8pTTzg9angRTcM+a+vNy0+T+cEt6MXU6Kenbsc6U+6ft7nB42gMw fX5+2h8NSuybYOxYXMjmYhqYO/LfXX396g3TvPv6Nbgpl5MT9Muvgd77zKR0UA+7uppMkBg2 qLcBbt9yMvGnirQ8lH0gMy0RVM0s+09lhjarTSe3g5XNMNbwGq+byhCfF8yV90h6Ni35wqYr 1ry9jLk1Wjm/kT5NlgzDlORx5gR3oJ9Yep7XkI6Ap5u7kzATQLazkyCtw2XYFvIQcCsqPCZ5 fW53nwhRxayNXa1+j1W0a7FMpLiwQB2i/RgPukg4sQ7nYurshpm87dHznJRNVQBm4wp8O1lf n//xmgDk+OfnYYHOj32vI0fO6Q82BrIleX113pevpIIwZIC+rMvSLaBpMrRIMzKTYz4m/QCC x4zOvuYrBkm0cs7ZO/Q20hUCFMbiMVJlNy3OsVqQoq1FiFpdn7/r65AGzIucK3CiJEeV5Bgv rMPAipPeKD/k8phVBiDaimyLyBomBxt7kq2XjzWOSsRMuisETGJik2fvLo8TKq+nYV7yGm8J vH4bypmpg+pCGLYxjvhhc8R4G/LDEpSlqwYFLQxdgxTGOsOJ1AKC9KyGTCvsNUtSQgZAKoJJ /QmXAGYMSHoNR8hLbtUTonS/++/L7nH7LTpsNw+mhOBk4BAyPwRDV7h11zG/e9hFd/v7f3Z7 IPXDIdmq4WOGn7huraM1M7FsMgIAqwpjDlsuZ0UoaDgyiolu4aVYsaqk/YyiRE/UyY5Py9gb YNZjUex1D5MFc20qRYP7OFIeGw8+PeOtx8E+FKyanUL089vmfDI5xZpenWRduK2c7qxgN7/F C5LeGnKi5hAd62yEelyOzn0C/XtS81VTFzwvMwbn6ZQDFmxt+y7ICxCTEcdTGMiHqS7mDlZg qSAQNklt3zdorwI+V8FGQsRxO+JZxmYk6zxcsyRZzSwXAOZ0udDg0HM2Gi/KOU/Bc/bepL0j ackXHVljRl9Wl5sx8jS3omACIGplxRaaJ/qeZ7iRYGsIII0igIwhDRjorTu1METrXxH/3tpO u2PIBS91MmStKAfMzJiTCwEN6zmaHlQlEFiRBR7PQoZcUe71NsopBlYX4kxd3trq1YdGG2fD UgDcHCFZmxY4k/fa94s5LSGcgq9ngaak/HKwTNJy4GVu7RwSspg61WOrYY8V8A4ONJ+2t1Cd dyJ3/2DidtffnQ0Je7LEEk+iqzrQepQRJLuPm5cHTcBi6iECxxJtuv629k1qN51os99FL4fd 3bCgTKzQLrBadD35Cq5B/8/jUpI3RZ1f9xqttV+kqWQKWm29Vu1FGyy4CrER+ELyNAhMTgmQ jM8KFLh0BZSuA5kp9733++/tqVsIr6HP23CVucvPNvvt5/vjbotl0rO73TN0C1n1WBeMs/EK Cui8Olo/8J/gkCC+AWA+VT8Y1Lsu9Kqxmkopk35No5ZM33sqXjQxXkF6FyMchkboCuBJeayF D6gMtWIqyAC9CzcwVLzXTb2KnuandaHvBhtWVaIK3RVqsSLnHkWvT/c4B3g0xr+Ia3SEN242 UOwBn6p4etPVgMcCoK/tlavH1JkHanTj7xpeuuciaW+f/c1AFNoQdKqI/Nsja0jprw0LSx5J Z5kuih3oWPtq+3Sj2bBTg1K9zg1U1jBpnEE8hjEMxMVYEWTjdcV3REwkRGN0t3RFQJsxQdLb SkAHlkRhRjo6F6MNjSQpg8BXrul85vfFyALXwbBSSOiHmlfh4XRkxsva7rVAYGsko5jUvcJq UjAwJ3QGm+jzQUNj+LbCkv4hOvyshH27limhbxa9UQLXd77Nv3ZnpyVAgdsFQl6IpSvrJEVS Z2DO6FiwrI3aEuifrdE+CnNzj+vw90KkCnkgIlaFL9IboB6hA2+hE3AS+NeyfwsstZaYcfNs pc/BQ/0XS8howbdZfdMMNr3BAvKKVInFEPi6hM9GCKulE+oj4bZWYJwJnkioqo6zMDEdIlwb KqvVOuStFLg9FZR5heU3Nwd8QkYXoUDvktw6dER0dqXYPwdtaqdufdwk3uTV6CJ0bbWDPTMq lmd/bQCJRH8b6PW8f/p4/+Bca6PQAJf8mWtu9+aJuJWo17p3VAJfg5VZPTOYc0jhBvKrldzv IIU+W4FDwAsgO5TqOw+Z48QnVipljDGUPrVmqsANwwGJRW15oxhPzP4J6IhKDjbxoXYeUnXX p7GcBYkZj8d0zIxmFVfBa9iW1ajzyZiNmY1zP4WMNrUxfjqc76PYKg6XQEzfqFUnaix69Ro3 k+ykgHlGB+kgrW7KIBosN/vjvQbP6tvzzsnKYeaKa4jTgfTQgclEyEHUKsal3CEPxQFvRHs3 dTJlHnaJ4TLfAqP5B4B+pnCHd7btI8FBsQb24iYOXtt1/Dj9YM/KHa83Q1mcD0uCTN7spywB ltaFq46uRyAKfD9tqnwVMOoCwweE7oyUJT5TIUlSIaCSpePOh9RWbwn7utu+HDd/Pez0q9NI X4cdrc2JeZHmCoOPdQxZ6sP0VkzSigcf6rT8nEsrfmInLUTr9+zUhPRs892Xp/23KN88bj7t vgQzi7Za4QNrIlUzq/3SxgJSXX3N6e56+7Kwf1TjtTKFkE5qLhT6u+/JQGohbBwpywwCXal0 wNCXBJdeMKS+bdkJZMVQJRy0kvNZ5U0X/lA4ozZ+WDmiVo9G+ZcoGjBBTItrx6kvZB6YSPeC SWOLnBe6z+vLyfu3ferOwChKpm9BmoV1KBTgaEEJGI1Fs+Mo/DCuysEIHTENuXnk6gsatxcC CY+87m8obkshnGcDt3Ed8kG3FylgFUdQhxwRukjr0ixzWdDmkValLOluSRFbLdx3YazCzcEK hxtH61K/RzwFgzQCUcygUhKK8vN6xkrnWdlp8xnGLZgKlEv+ud/a1d9u7pQS+yVRSXOYi1O6 0hQIuvgUho8LMSU92272d9Ff+/u7TzpSDOWE+207YiTG1d3aYKw5y8oTgRCCqMrLoKbAZhcJ yYTr58vK9JlycLCgNeaN9GjK6f3+y79YDHp42tzpqn3neVZ6nXbu05P06UN8qG0vqquS3WhW WXJopVNZs8ZQpxYbPJx5yBGSQ3dSmXrIcJ2yarT9BUGav0artAYWsNIApXPeJzZf3wlVkDqH 4mXLZsuKOZMydFT7tm1j3Ga48vkBQILzcLfrxTQtWZBrXbnrIq0uyYTZyzqDHyTm4Kq5jUD1 PVRtESo2cyze/G74lI5osrSrNy1xdT4i5TkX4w7td9QJOrw56I5WrFTryLCVwEwBoxmfEz7m E2bWl3DvtN07dkeqvEWu+NajyUJxIVbnDSltNIyENbenN+cSdhV+NFlJgyr0AS8EWcxDjzKk vv1AHXBOAQvKOfWDV0utSck7KBXCnHPudtYSrChk1ai7nem1prCrjfgLcHTl+GVNzNViYAy+ XsvzKm15oQiDInW8HnWbq6TDcgMIft7sD9093SAHh/eHhs9h8I8SMc3fXqzX35Gy0hAVTLhA RqSG7cy0p+JAl+8n7xycbfOh/wUE88bPIi1ZkwQ1PAfXqkjodsSSUtXaHwtNp8Q7iVfXCtal n5a+LoXKKrHcHxAbpSjd6ejjqeGvUf6EOYJ5fKb2m8fDg7l7yDbf3EwFjyhbgOP09rUDsIPS q5AWFUC2pfB3U61CGU0r2rmfNGkcgpRpYvk2mbtsfZZOpag9C5O6gcfK8ZuUPg2pSP57JfLf 04fN4XO0/Xz/3F4Oe4unKfeP8U+WMKqd+AkNwEtlz8m3XennC+0d0ZhZiPaOwNV94MSADW4Q e3mfMY0Esx8VnDGRM1XdnFgCuv6YFJDZ80TNm3N3sh53+ir3crxQfh6gTUemqUIvnHp5iAkZ fl843uM8kSoJbSPAMPJKl7XinkaBlngE4RFILM2ztOGjgNOaZVLKzfPz/eOnjqhvArXUZosv sjz1Exh31rinmGNLf1WYWeXBT9u0w6FX0wlNSnfKALg1w+9LSXwEeNr7aWR9mg2ZKyw96Im+ t2TzTcTu4ePZ9unxuLl/3N1F0Gcb9MKGCWkIqcANjMxTZt40nO0yJ+o0gP9GE/c93TRXY2Ce 3B/+PhOPZxSXMkpZnE4SQWcXwb35/rJ1XwUkEO4GIMW70NRWUzDkjIzJkM1r2JtmVXF1yn11 oqMPbGymJLmsnWKAxQTLPTX+dI2ucfbahldkpRc32m9GKezaJ9gn6z2XvyOMejPuqOATIUsF kOt+cHVCBDQrjBJ9+dj/FLQrKwUm2/H0YeolZWWSVNH/mD+nkJ3m0ReTM9+FFck0CA34/a7s Xalj7m4TEJpVpq9r5RwLEXZZpROIWdx+BTyduPNCLta8TjsjlJhlNQsNPEITyJjfQJoJgDiU zinrkEVq/x3rm8pNwIAIWSQ0iqVDxMqdcm5KgWgqKkHWQsR/OoTkpiA5p+5Ipgrq0JwkSuC1 HSDEJWISu25oGCJbuqOaEuuNO7CuS5liGBVzVjlPo839Gz4/bS+p9T1r+07VLoz7mYlXt1+O LLBY5iySvu0hdfSMQhP1N0IlUfMQNESBlMTgYqzdMlTqEcxLqiAR1iElaG09GrzlZwALTw3f ipwYD+jY2A7uzgaYcH5/2Abz1uRqerVuklKEtzip8/wGNSOEhal8fzGVl5Nze1FYZs4AB4fq gZB3Z0LWFcN0bcmpW+XQmS0VHJLz4HM/zUfrrexHyqRM5Pt3kynJ7H+JQGbT95PJhd29oU1D DxUBHElRScAW2RTQhYXfW0Y8P//jjwBdD/5+4uRQ85y+vbgKpeeJPH/7zgGQMgwC1vjFB+S0 SWo/W8RLggbSKHc0LvED9gW7aWoZ+kyGTluTMsGJQVzLQw+NDQeOb3oZOjnDxZeN1DLylpyT 9dt3f1yN6O8v6PqtPduWDoi7efd+XjIZ/ILNCDF2Pplc2mrtTd58j777ujlE/PFw3L980V8q HT5v9gBRjpgvolz0gNHtDgzg/hn/ar/S/X+07vUOn3MQBOulBccZnYvAieHZOF5tqV/Kh2Go baoGc1LJO7g1ghT6VjYXVrm5IjzR/16HXZmj9nfWuo25nx8GaHuOjt+ed9EvsOK//xMdN8+7 /0Q0OYN9/9W6/GovY6U1Kp1XhqYCtFmAZj/01xPqvYNHp/qho/NmQNMzMZu5/6gCUiUlRUPa t6jD6lR3oAdv62TJQ5sF0FGepGc8hj+CDUiAiv/ih/sPlhhWVfYjDEDbm6zlK8yaV/rbgfDH NvpYw0AvpEO9KjuzxpfFOGPLxZrv02KB73nwBZ7r74l5eBzyq8gs9cKNq4EEYv/0gNe+0b/3 x88g/3gm0zR63BwB/EX3+Hnhx83WeuOvuyBzynXqhl8pO4Mjg+fr4HZoJmXLcDaouWvMHk6z P4iKhz/e1NOaMcDgPHQThY+z9b//YBQQVrj1l759ORyfvkQJfgs+Xjb2EOe2iQIl3JEW8zYs WVHvRIGiHxk5r3J6TlfM9enLEAO/IMDKiUfOl05kQ1JFSTVCZ+WPrqTUR18RCQZN+80suTj7 P8a+rDlyHGfwrzjmYWPmYXZ0pI7cjXnQlZlq6ypRebheFO4qd7dj3OUKl/vb6X+/AKmDByj3 g6tsAOJNEABB4PXby596Edp35a3b3W7iOxm+3MUpwHVpyWC0uq4Y5Qbul8eXl58fv/zn7l93 L0+/Pn75k1D/JeY4M0wZVovgBnmBvnuKVpGjmbdIqBuiOufs3VGKQYhrQkyiXRBqFZGir0zA pXfK/pbO19SrOM4hG+98J4KJyzOr9/5Ex5k43vCUIPJpN/jzgOb17LpM4eTW5fbXAryQA79W MsiF0gcSTpMci577sdFP27GQEkNmlUxuKIA79BtlA39oIFitXMsZI2mVHenwA2juTKQUx5qk U2PsAHA4ldyaeynRRVU5FbEQfapmGJxKNH8DAm58Ie5CV4oiJbVeQPSJWn+l+KACpC6nc2QF 4QJVAJ+LvlU/mher1pUFPn6iD0aFxvIOTqE5/RWisqXMtHzhCE1YWUxn0mchr0WYMLmbZ+0N MYBA0QcJXwGhiWygQLPxrG/bAR/xol+p1hg7Ibolt02e9A8jVKhHcSDKAA2F7ha7loMs4gEI BDaxqpgCJpwBcfYnR78JMum6qiVxyOBrzUkJYejAKd8SI6xTRWBUmdEvYFXa16Mr7SaocXaV RVHcuf5+d/f3w/Pb0xV+/mGK5IeyL66KO/kMwbI9WdzbLFBixEkGo9TiQzR+iU/tO1D6NePC 2AErNPvw7fsf76Y6serJTXc2e356fPvKXR/Kf7V3uhyNgbw2DTsaBf9zLGNn5+lAEK07ZkD7 5KqDJh351rGR+GDSzggMgGrx1mudcPFJnyGSFvcERZdqBAq6rfDlb8c6vUp2bnYl1ZZjJxq0 ws/aSB2TutBNYjNsbFgQxGR7F5Jqp+KnZUfN5rIkqfUhFgjoxo9fQFalLEkDKSWIa3nhCyx7 EZRdXc7R9jQo14yXOArrslxxeGCSZzCngbpKfBWPjy8PiRrRiBMwSmQXGFYeDHIebDFvaUYo WoXPCVsQRy3F3mcMhHnZZsU69ABEOCcQyHXrgpAagfAq4z8oe8y477TiQ6Pg9T0qWpAOcgPW 71JqFCf06bqGR9FBIqJQ2aqepgs2TXa+YixcUUJep96yLSRsqNWwJiuqLhjpEypRyGEKVnBx e2haRmFwEig4HItsUJ/ULLgsG3rlocyCuZXdSUhFk38fv6X8srWh0IcQxM4RHypSdr0FvZMN k1nv7W7yCWOtajlri4syXfw5i3x2wo/68Faa7o4yX/JPSmYc1hxqANAbDMTcQLnplXHcokzu PpmqBEhTkKtAJmvOl3aQBXRE8hpU0AW6hgL17cFsMBt8/3Pn7ewY1cMNjqrqAX2msiqR71xm OEHZKnyIgzXz7ho1wJzZ5cN5mnqQPnkoOOH5aMoEXmaKMUofcOzSFtYcRutVeCTOHn+kRLEo RPJgSRe1qPp8m/dC/cfL+/P3l6f/Qg+wHfyemmoMnNCpODKhyKoqmmNhFMrxFFRUqIGrIdv5 Tqh3B1FdluyDnUszfYWGil+0UJQNsISKqgD0WsuHefHBp3V1y7oqJ1fD5mjKtUz+sWiCUAeG 1epJjQNfHVvFH34GwgjM04iVLWIF+gKSU3gqb8Ep9+SPRFzKu5/RfXDyvPj7768/3l/+vHv6 /eenr1+fvt79a6L65+u3f6JLxj8UgZU3BuU962yJ484y3smwd7WuAQQjfuEraowoWGJACdm7 kBPdbrIhiW8Q1EeAaej7BsD3baMT91nNhtTYS7j9cRXbVkdygZVRqmXlBUb5497Z+g2nhua9 si68hYwytnKS8lhmbUWGM0O8OE8DtXXmnuS7eI6S/ZP2plWsk+OpAuZVGHCmdb2sjzoANnYn mJfS9rLtfFLEQORPn3dR7OifgETv3dv2d6dNcz2Ewe1mbNghCj3XVsYlBKlH50w3phcySYTW 9d3irFNKIUfWqrseh12pG1bEwJa2zn5Xw5KlPfY4urGNbnfTFj8AxFJUweIKWF/dfVlqQ838 zNvJBk4OBK0T2FSllcnKeij07we9a1y4POysfRP4yNI/0PBC0AO8q9Zy9tB8OoP0rK1i7ic+ pl1tzMu5AUGxtDzdkAlGUtvwRCaCZDBG4Vpr7Fvoz3r9t8q2s29Vt9dXKtr3/728mAMR5Nvj C/L0f8EZAuz88evjdy6X6KZxwUla2ODj2dynWeeFbmBpRt+m7XA4f/48tkJZk4cVAzFrN618 SEp00UHhxRB82vffxEE5NVk6hdTmTmeuWuGBlYoxx3YEKktiWvXq6hJnjbjftiwxToIuQ+dG P4qFpVoVt1c4HtQUfH4PILXetDyVPu1gxjpKi1YfcTCu5APH9kPFeQLBNQPxGl9tglAnKUwy d4c/FJFT2KFAe1dvfVbwyzNe4a/zhgWg9LkW2XVqLNWOuIQQClrH5vJMQQY/yyoeWuWeK7xK BTNqOvWW4qY8Jq9vcokCO3RQ2euX/+iI4ht/8NmdHjBfA8Y7b4oBM2ygRy3XtdmQ1Ohye/f+ Co1/uoPlDNvuK3eoh73IS/3xv5XAZEZlS9sXiXMCzG9+JsQoYnpLnS0bRayW6FFMnaO2qF/g b3QVArHamMU7f1E3sdbmViXMjzw13OmMATEOJoFm6gtRTcmFMzat3Th21A4gPE/iwBm7c5dT FefJ3gnJqKkTAcgVbqzKCjOqBvbnMyfe+BoEzHs1IcaMYbAUlPjUM/zmBs6NgA/1gW5FcotA bqH9rGciqKwwvFj0tt7HTrBJ0WZFZfE+W1pTZtDnE8YYs0jGS2HXiuoOs7mMLwTRRwT7Dwgm i9rxg9U2UW0PyUwVblKBWuHFLinRKiR+YE789KCJGiuOcrfWH6fwYuvHwYcfh+R+FaiPaw5j s0Nc7dI0jRmXPRwbUKoErzJqtTylWtGdoY4RRB4W/2FBGo3eu6Kv5ItsmcMRPEiQj+lxlw0m dlIZTIQii0tALyCHBzHRVqvhJCea3H2KnXBnQcQ7qqay+7Rz3P1GVaWtVI6IaETouORShXbH nhdu9ywOQ2LkEbEnEXm9B9nVVt0tonwrlVLd0FJd4NtK3UfbfILT7Lf5kqD5aDD2e2LnfcrY ziEnlGtzXNpDSW+zfkHK0r9AyrLIjSmLuETgUWc2y2L4kDoF85qcZoDHO4J5svwWkHPM6tD1 KM1lJYhd1dAtYbT4qiaBHxCNrNCzHA0es6zZg5z54/HH3ffnb1/e316oJxrL4QzSF0vISJtz raexk/3OVbiF3wISZT8LFr8r6uJCHgGI7OMkivb7rXFcyYg9L5VBjNeCjfbbDdiajJWKnk0J T5uQzdbQF7lmgf5fapa7NSwhuXgl/LakIxH+xc7tt2ThlSr+YCyjvzYlydas7zaQfkKysf5z QtnvJLS3VWG03avdtii40v2lMdyRp8SK3j4FVrrsLy6BXbE1NCtZ4m63K91eSf3n5uOlxk6R 53y0PZCIkiAWnJUrADYiX48YRFbOhlj/4ylAsiD6S2Txx6uHk22d7BORn1gXKu+V/5dqIl+P qEQ3XzY72Y4r41DRn3LOiOUK32iTwGBsjs2mr2Th9txwq/OmvgUUaNAnjsROCQgkQUEs2cek 9DG5O1Dgw87bW1GhFRXtCOlyQtELnyNPwFa2Oo00decGkVn4UI5la/hDzljK2j0FNPv6/Dg8 /YcQYqYiCkwfpzh1LIKqBajkgJPhdasYTmVUl/Qlo1Be5BBHLL/roeV0xGypNvUQuz6tOADG oy4e5Na4ZN/CiD7qERPtN9c6kuy3a4UekbXGbkisBIRHlrEBuXxrgSHB3lLV3jZmfrglQAJB 4IaWsfH3GvNd4oRZVqUhk7fZqUmOiuV5Lh79LwgFHJSoqHIJZYMjKEFWIMizZqi7SxSRbkML 0/t0Lqsy7cuzpL2jwK7E65wA/NUl93kWz6ql9DTtQRPz50/K/tNko9QsuhYLHr8S1uLUCWcP 4Tyy+jbOwPFCyR4cbQQF4FA9GhUHoqXTd1ZvFPEY/ffH79+fvt7xthq8h38X4fMSNRgVhwtP BB3IDXpGLyY7n82oKWiGU7TXOwIfpkXfP3QlOihoWMndQK0OEbcjE7YyW32EW4IYcVi4jR4w SyGoOha5LnU8cnx+FcGv1K8K9OfsesoGL/C18clhwP8clxZR5flfLrKt66Q3F+/sY6CWeKqu dLY3ji1b+lacI6v2WGYX2qghCMRtgK2RFaZzk4UKsW7TOGTRzWhoXTSftfNCI+gyqIy2VQoC w2NBw9+si0dzXRD+zXjL99E0C6Ok+qH+ekzB5foWA/kwCXIPGFybnnVceVCC1Qtgg3d1wBN0 uBDV1LYA+xtv14RycZ4ZV6bkLkcgv+Y3iuJQl5TIBZ7tYjlpDgfOkpJR2qXEigfqMpbj+QvH kZkbT9z/Wz+rOpNb4XOwjAqSIPZAPvjezlecTze46eL/xaFP//3++O2ryWWTvAuCODbbIuCW yAQTSWP24XgdNc858yzQx55DPWP/CaiWwp2vZXQL9M2dOcG32sxJIr0BXXaIg0hvwNCVmRe7 OjEsn/2U61C62NcGWRx1h9wcfG2Y+/IznCTWsyKPnMCLtRakOfTBra8XDY63ooFnDEvVxVFA CmvTOOfmeTpfT5LgQAezyosn5w1tK2Z+EO+tm2DoGBQWh8bAA9hz9W5z8F4WxAX4U30zi7hW O8fX23nldnpl/5hTJKLjsfSjqaOdXpaSiRJ4EZfnt/c/Hl+2JJ/keASumSg+e2L420zEkF9q IUubv+HBPXml7j//3/PkMlM//njXunN1p6h4Y868HWmXVUliaQ5WDBxbFDhn7rWmEJNkQDSD HUtyTIluyN1jL4//8yQN5nX2McWcJ2oTBJzVqvSzILCTDrVjVIrY/nHMM8bjAzjynFeIXdry oxZIX0EpNB6l48kUsRMQo4CfyltFRbg2hG/tvO/DsU+JMCpVTJes+FHIiCi2NDKKXVtb4sKh 7GUqiRvJW0pdTItaxzOaYcQm+Sp4BVJeMhIWhf57mtHrZJpuIKNFPISt51AKtba/dBz+itm8 aDOFRCwcSMQfHxJXQ+btyeg8MhXwN8wqqEa6UAmMthFU5lshGavLjCZuGUqaqNfdXfuCx2St 21yOoSKKInFKlZmn+AtgEKl66zMMGlw90FAzSH2XJ4KCGDM4t+O9Fwj8WiAPeK3B0J8PH+Kj AOiEysZKkwG48wPmhYr3u4BazDNJdvUc2dgyw3G3yrZYGa7eTikYWllSSKgVNxMwOeLb3EEF OIcfEECjhvQTTh0lxyxtANnLpzpmyGQSxiUvpGcCmDQ3Eo/PjI8n3FanOYnn3syeg7gLU8sZ uIYpWYfFmgi+gBziCxQuvciEq2r/WgwfZqKYwQ8DZbGtmGznhh7loCg1zt0FEdEKEfujnUjC ICR7pom0KmZPdJqPxp6oT3hZ1GlK9QQW0c4NaLuAQkNKYDKFFxB1IyJSLdwSKvgLNYOo/kHN gXaFLKNCi8lj2W916u9os8lMIvSBPW13Uog8lzKdz0v/mJyPhTiJdq65J49tlR9KdqI2Vj8E jk/JUXP1/QCsjxxl5O8+zalmknPGXMehdu0ykvl+vw+Ua/K+CYbQja3MfWXLyLYDR5mh07VW n2wuGC4UkzHf5wfZkrQ1QYzHTwuiaa/JQ3umDuyFRjxH588kpzw1OVFF2xXNkuHcIariNmxa Gl5q6rnbOKbWmEoybsCuj+9ffvv6+utd9/b0/vz70+sf73fHV9Cfvr3KCtlS5FoUZqsm2q0S jKyoyIHSyBo6LKWNvMP3+duVzwFBZXK1x/YYxZgRkHyPPy81YY8gVog452yIQEas1xXoxe1v 1Sf8vIlShTq/DRZxMjD6SzbnmptP+6I5eC6+2t+oG+28TrgnWz7Fxtj4+nNZ9qhgUF9zBOs2 K6+g9FxSNWYTC9HpBLYxyH4+RjQgsKzee6FDYYa92wPSsSFZUu+pIoUleEdgpjsMAnMYoDuO 65ADMr02244EkV+3Bqzo9j7Z/5anOTHAXXPbOQ69kvn7TwJz7wP3pxAzhyaG6tzcqC/mCBQm ZrJcUWUNNb6vvGGmeupDbtYmx3dgkXejl+u6J5Jb6FuIVhJuFCQqL+ubNy3YpUSAReeqQzBR GDCsM9nYur2B4mf5CvQVDAJD9J6/+DPhXCJTdhIPZTEeb2lKV8/R20NV5GUyFPcfrNf5Je/W kE43UzSbEM6j+kgY+P5zQg/WdPtpDsryxpFYykPuuvSuR18aYiNxn2oCMV+cEKiaZb7rU2yC ZyTQFxLmbOGbhezl9ARDneT5itYO1UMyAi5y/Fj9oKyPXZ5p66fDNjpayW17X1hAy4k8CzV+ LJ0xY+K56ofnupJHZrZHT8lRl1M8e3z7qqYmY2mXbaw1xlKQIRkrU9mkwViq/DEFcOQhVSXq lVcrJJZqWF62egkEWi93SqBlua1PMaueWWCq5O/jRCIerBwlgIOn4utSfmMnSj1UiaYP8Kx+ HGxrSkN/NHeiTrIxq6lwKQqZoiencvrBNXjHL398+8Lz8lgzYRyMHBCHfLHTqFARLOvYJXIe HU7O/Mh1TZhm1eRvSvF20PJ4jX+WDF4cObxN1EGCJBgC4sySftBq5OHND1Vxy5QkKwvqVGV6 y2HYgr0j29Y4VLomU1t36zznhg91LW1brsSUzwR047PVxUj5joN92o90wcfUbcOCld2TVqBn dIyVGennhXPGLVSy5+QMDDy18EmU1wI8LBhbQ4WsTn0SUm2akNprDQ6tGkpDRhRetd+n/t7X xmPyMOVPNVTMEQ5qfNDLxiPTVk2duf5NXzQTkOp93Xm0iyFH3qD63thTIBYFIH4Z8FMZ7oDv dyJthFINoILgZjzTmShOA2ZxwHleC0QYtFd5PY8llZ9Y6N308u+Lmr6hR2Qcw3nuaKMrgMa6 5uDQoayiYrvoVrkJql0sr9CAhMp3uyt075vbE+Ax6Ug7oeO9Y7YG7eIEcE9Ryq+zOHAI/dBY v6aDo4ycVU+1pPUyWYU3w63QSFFwViGSPXdl0xMMWDW1jBa0ev7w0urY2BXLGzOtKcMu9l0d hgY0fUz6LBgC0geVY+9jRxvaSaXSmlFkxDHHyl0U3kgEz9bIt4KnNV1yWZChdaAm21iANqGE E9w/xLDUFd6XpLfAMQ9AtWBQ6DawIuRJn5FZrJBgvt5SPhsw85nvAwcZWKZNvkJYdf7eulvQ rK96BU1lV/XZWmKXVHVCW+bQaOs6AcUrhNFXdrMRkEhbg6azyArVz8fZRkx1AHrm23jWhA/C gCzPHBCExyFt+F4I9i5lVpfQHlEbQKlDCHDAn33KMXe2HOg2Wv7ZhEvOueWlNVCEzm5TZLtW rhf5ZPlV7Qek2ZxXLryAtE5qbju8FNOtm4s1wkmKBFJjxKUj8p0M70UduI4hpyDU4vAq0Hgk bKPpB4YTemdLqSfQvmvIowZJ4GzInpJrk8JhrruY9BjmPLY91WjSnSJlEJjJ+Uxl5ctXnr3H ExEI4Lf6TDkqTPzP92DDaSFeVhRHMLNTeBJRO2D68mDIPKAUe6Ep8qty0SnJEwYC4NlS8nK/ MhbGkuNmJi46UdEVZoPvsnPkWII25W41lK2uEjpIN2KsiEN5K0CsaKshORYUwaXsh3NS8eQv Z2X8VxoMlsw66PcmFciBR+CBFpQqTq4oVE5jmc+qKFVvlXB54MtimIRp4L+OxGiKrYqR39is GFOllHD6lpFRhmumNFmaBqZiVPlBxYV01GyFyCWD4CkknutY6/Dc7c8PSRP4gXrzqWFjMmrA SqTKmitcKEN2zCXwySVUsgo0QXIJASr0IpdcQsQpIyFBKorItnCMZY64FwTFZlWSgGzrKnFY So5JnrKSiPOVLBpQYRTSRc8K2mbhSBTI57SC0lQ5HRdYlhsqU+GOfh+nUVmeyqtU8Z72oFSp QPv7qKuqMqihApJRrNqirVqLYKAPVkx7eOpkZHwCjSh2LOtUYMmYLBLRZAJRFSoVH8W+DRXv 6XHKOhcWhK1hXbBzP2hWF8cBucoRE95sBX+K9uSrcokGFHb6fOAYekXMqr+B6dIyYXRj8PXB jvT5kml05ywJd4hv9GnaHc6fMZ2fpd4LsObwg3qRJqYLR9SeRsmu3SuYi0N9V5+sSIYZkzr7 x2qgQw15Zul4UYIorwTy072hPWcnlvUFXrMMGL2S/GKyPhADN1khNgcORV2y2GEXO+Sq0s0m MkY3nsi40P2QGwKRt6MstDJJfaGZNvPqLqGbjChG7xEW1HEkP0iWUNwjiu7ObDTZbCurjqCs 0UteqAhp2+KTATvBpS8O6flgaQQn6a50OFiZjutR46UmE0VIhNApJyTFDkDFInUAjYoaCgX6 fuCGPslS0U7gWbiQsIt4JBsx7Ss6LraIDJsOehqZ62/PLWWjMbDbW880n0g4/QWQpNasb/1M tQgfb1MIU8HWmFKVpGVKJog1rJYIadqhPGgPDrljAceik7ctK7OgIihEAr23x++/PX/5QWYe qkEF7s4X32blyeVnMvAH3pWWYy4HjUVo3o3J+WYmHuA4/ga9VlPDLXBWVAf0OqfrHu9rNsXN pwqFams2AFfv2qo9PsAEHJhezSHFh+tFjTNTkskqkAqzNIwwjDkmjqoxILvR3A7nwfL5sahH fs9MNBW7YMPhd+yEXv8Ldnml+fTty+vXp7e717e7355evsNvGIdfueDHIkTCh8hxKGFpJmBl 5YY7vUs8zvmtGwfQ9vYxpa0YVIHxztHWTN5ODAQjJ1qZvpPBapPuMRFOybqKfPiLFJdjYSyl C4yxhfycV+qQ4xtndB075XVJYKpLzlRwlzTcc5N3IH/+8f3l8c+77vHb04t0374QovOdEhFc aehEws5s/Ow4sHLroAvGZgA9ek9L++tXaVuA+osKhBft6ZfxKvFwcR33eq7Hpvqo7BzjNlPX CiuJZWCmOxW6o0VV5sl4n/vB4JLG4JX0UJS3shnvocnAlbw0cTyqNiB7SJrjeHhwIsfb5aUX Jr6TU6RlVaJLFvy3j2M3o1tYNk1bYe4PJ9p/zsjsggvtT3kJ+jPUWxdOoMggK81kMxyYo6q6 EkXZHKcVDiPj7KOcfJAmDXyR5NiRariHQk++uwuvdNESJbTvlLsxeTu9ftC0F+62xhegS3ZI IgnDyEsomjpphhKTpCQHJ4iuReBSVG1V1sVtrLIcf23OMN0t3Y+2Lxm+0ziN7YDWwv32vLQs xx9YOYMXxNEY+AO5UuHfhLWYzuxyubnOwfF3jWOZJYvSsNmOPnnIS9hufR1G7t61FbwQxR4Z L0aibZu0HfsUllzuk7MzhegaWZi7Yf4BSeGfEo9ulUQU+j85NzKom4W8/qhaJDFFBoMsjhNn hD9BBSgODrmEZOok2a63PUApNElR3rfjzr9eDu7RMh4gyHRj9QnWVO+ym0M/4jDomeNHlyi/ OpTllKDe+YNbFZa+lgPMP2wrNkTRXyHxSZK2wXcgt523S+47imLI23GoYIld2YleZEN/rh6m Qyoar59uR5ILiES47Q2X9t7b7yka2PNdAbNz6zonCEAZVFJzaoer/Hnal7l8bSGddDNGOZ/L OcH3Xfr2/PXXJ+2ozvKGTUtSmU2Mn9Q2xVhmTUjbvwUVDPsAdaPcpWrnHN23bASRPWluUUia ark8OZ0BAGq0dDxCIAWeCnyiGmLQZ1K9jhW9D1376lTJzmQYGS7jDdDnIQxdT1toeOpDE/PC OD/r4pjgcGEKtry7oX3wWIxpHDigTRyulopQkOyGxt+FBOPtk7wYOxaHHqUoajQ7owAQcuGn jEPSuicoyr0jxxWZgZ5vCMeTr4hYXtYBxizQGE4gC30YKtfx6HiGnLRlpzJNxOV3RCYrIMh2 amM1bKS3WsPThmaTMKIsRJwMjr9Dt9NlAwCzJgxgB8XG8pdwNpUES+1y12OO6hyJODikMXzT DbdP6JOmK50sUu7eFGzeWRB8c8q2/VnVSfJLFLiuFYFaoIrkzKQ+5V0c7EKDGcjI8afIcy1q tqSTqHqnAOvKp8E0TY6nllMMTXIpL7bh7LPueFb7daxd7+x7jr5dcF8YdoHhUnimMDWnVTjQ DjFiLeSMdhHibTiTWdqRMyH/eaBOBBAfMXkcavvjp3PZ37P5dDi8Pf7+dPfzH7/8Ampqvuil UwmHFHSgHERTOY10KuwyDzJI+n0yFnDTgfJVBj+Hsqr6Qk4VMCGytnuArxIDAerdsUirUv2E PTC6LESQZSGCLuvQ9kV5bMaiyctE8RUDZNoOpwlDzgiSwH8mxYqH+gZgm0vxWi9a2dP+gElv DyBlwxKRL4IBXicZBkBQiTF4SoVZrlVSoJvMJ0zrD6rgOAKDlrzYXAy/zUmkDE96nJkpzp5S LewYrbaWcmvhs92AnFYpX1+OiRoME2DHlD5nANVdeuq8wEpBnuKp6NSxdnPNlRmA1xoO50Cr 9FpjFBFQNTrKgoIE2iUSDmtNej5ivZO7pAxh2fmgNkSxyeCqT2Gj34ZdIMvrOCDEs2wcO+Go YhurukCpuK2tg4lx/DwydgOusb5NcnYqCm2ngX7py87COPR10nkmZDZsCnMsgW/OaJVk//bN Lxnjz1OpQhmjoWbcDxNreR2tEpLpxRSSCyw1SyPEEdXWddsYFLuFgmhlsCA/biLLP2yiomYq mLpsxkN2P3Y83sX9vx2SilVF0Y3JAYNOYXfHOcCPyF0HdIdU6Cc8OVgxGT9zgmuIQnF35lBY 2yUiB4+NQBezTAJJYtJpFiVizC/UAKx41exJEAgJCc5zcklN5sLug9myWRVtlJv68yLqfDj8 c7fquuP6ldwFhB3ofM6kWMAnPH388p+X519/e7/7X3dVls8eeUZ+OjRq8VTTUxb3dYQRIyX3 nKDLSWb5asXfD7mnJqJZcd2VMtmueN29TMXI3isrZvV5ISoUb2crMq/vSrXcZhMlJDm6ZtBB bhQaNYeD1OfJG2KzhKr2Q99J6BI4krKLSiQgrau5mRQc7X8ltRFzgMsRFFeU9DLAwFH3n9Ko cJ/FzXq1p4Nrky+B50RVR+HSPHQdW5V9dssa8sHiOtnCk5Wsdoq/PO2yD/bS/D1IRgyEd2kz XMq8aDUpb0Lphwpwrpbc4sYl6FwCa8+NEqaSNdTqRgeT9pSVkvyLyZul45CiUINVLxQWGRnx xYcl6BRmKwzJA4H62YwwmKBx6MujCj1XXblkKlVKaBrboxfE8+AapwQO8yxXSlSLT5oGhjwr xqa4Tnxv0c/q5x9fnl5egL+//vGDB8x8/Y6e0Pqr5uUBNa6GktG34kh3gDpQoMI3UqAV0mIQ L/ChSfD5I0gJbW8nawfqHfWEGbu+zc/ZUJXqQ+YZDScShrgZixtIF3DKjqcz5R0wzQzjU8Nj BLHUnE/MIs/OoF43+SiyPXgyWsz1Ern09Prj/S5bkria8gqf4DC6OY4xfeMNVxwN7eBnijpA YY1zby2uFFENdbhIJaEMnYBfQI61DBYnmBIjGxtliZ8oYUhgQfaSQ3uMTwSTNQ4DgR0GXMos O8nBi24d4xRQ4Jr3Wf/ywCq9s3MrqPzjFFnbl/quXnCwOJLeWgEbaBlOIcI32R81oesyUH3J esin8gt2SSOjI+qLxrsaxv1PEWnpK5U/ne+729lznVOHRNbuYpA7N7zpNBoFiO/m+jjAxoYK TES7Lie1QcrsbJ000yTZCxAxcuy8aiacotl/VBfONd0HLqr7FtwUHceCFYtjTIttfLWNt48B S7f7b12BrbIC1YNuWm5I8tGg2dbd2fW9zTXHqth1N1ZcHydhiPdtxsrCatUQFzOUqUHnZzAP 6onyk7Uxc+AY+P2kHH7LATJFCMteHn8Q6dqxjK4vG8XvEoHXXGP+Q71EH2vaofg/d3wsQO9M jgVIhN9BXPtx9/rtjmWsBI3s/S6t7lFKAN3/7vfHP+c03Y8vP17vfn66+/b09PXp6/+9w0Tc ckmnp5fvd7+8vt39/vr2dPf87ZdXtbETnT5aE9jMUE5S9QVmHqHDOSulJUNySGxH/Ux16ItC CXAhI0uWa9Z1GQu/J3YZaKZied479BMLnYwM6SAT/XSuO3ZqB7q1SZWc84TG3WNwMltHsoeu L0AdhgHLPhovjPxwTkNPjhHAd16yiJO4cMvfH399/var5IUmS0l5FpvDynNfb00sv9Mh3C3l Moazb5QLsNESI2fBH5P8WBjiI0fl+DqvbyvqAmklUt//cThnBHmfUeDWlFU5QrTDOgSchmwQ H/nu5fEdtt/vd8eXP57uqsc/n950EZ6XMMA/oS2vzFoPI43TC/58C4hZ5P9MgbmMBtacqdUJ MIivT3LT+GcYNLBtqgdrs3iNI35PNyu/Ztp5iRCuWunt5Ah9VZgU5nzoFMtszMtfnQQh8t8x 3XS1fN+KTE1m1eKU3KrajLq9oNhAAD8JRqdXRV1x8P12KrsyLzSOMkPHc54ZR/iM29huC42S TlvBlPXNgjHSXSnYOQ2NJkEqga4loHnGLwiMWzXNqSGyIoFYFsYmJGnt2xU3A64K6WRf4KpO Th79RV3Kpu0J5IUqKMnPw1kbT1ZcWKGxq6o4toMagpyDTVl6Pi6yhygjQwoJojnZgzooed2e mY2VHoYcpMNKt84kHV59C8cduUAOH+tDydO2ici9tuOrBK09vRyNM7Cyy4pDnzRZcSnTHh8X 2Oe5vSY96IM2rQLlQF19wjD0XD48lLfh3Bf6MkRD3uGqQh+ATldnP/NRu2mrAHVm+N8L3Jum bZ9YmeEvfuAY5+SM24UO7U3Dh6ts7keYBrwYoZ8PiB2ZtAy4k2LfBO1fSKxlAyyP3Azdb3/+ eP7y+CKOLovAe5KcAmYOaGKatuPAW1aUkl47hWTJxN0wUhg4KEaF83OZZ5pRnroNyenSqpQL SHCQ9GG2mJlsxnc0rU8EzlT6wI88cXZpkPFSFlfVOvXT510UOVMBSvYby6gq3ZvFHwNm3nNK uAvGSrLuZrmA8cDI0nFIx7xPrqodbcLOQide3abnwwGN0J60XJ7enr//9vQGXVuNbLrAQ6jh qq1yMiWcyfhMvDH9dNYReqIGXRU6Y3t1t8SL7M2oLxstQKSvnVWs6bTXTDMUyuEKsiGaYYtt h30KHxEnelMMnhfZPpqmibK0TS5IF+BFhshxrusHU0uXVyw5scqxVKYgzHQtKwdtBA6gj49V qgP19XcYT6VuVBqHTBdJ+K8HyijP4ZgoiS3qr4UZzrQHaNbIGF3D3ES6Gt5au2K0kk3mgI+b Irq65th6/Prr0/vd97enL6+/f3/FAKdfXr/98vzrH2+P81WAVNDnom9pnnCwSayHc5Ohb5gx EQtcku7UdWsZY4ojDSgD2GX64wcDdDRXBfAmWTuUs4p9OGZr5cNDR75i4zWAbDiyawkSzFp1 LUem6649Kz6BdEcAl4dA64djWrXZPQGa7ln+Hcv385lxkgtVrc7+xfJ/YYjYjXsMpRzDfiPh WC6syMoHHAi8ajjQ7gorDfPJgEsrfjK6SwgRv1qF8SDkJ6a3YzKm2mrwM7UUAIynK4+eO2VF VFsMaEuQugmby2ZEPgM15pXV43lNCHvHS61dAOH+flC+3mRE8ZWPN2Am3nyKy8flqv8tJsuA ptW5OJSFEsZPYPTbhgl8Kv1oH2cXT4lxKXD3vtb2E/5XHlTo5Zz6+sdndtL7hR0PYYdplJMR cRLf1OnDUPHW5Zh9os3TiDuxT9qmEyGxtTV4ldzw6qJmQ6ls1gmihR/m+UXZ+/OX/xBRh+dP zg1LDmghxRhRUpGs61uDKbAFYtTw4b3lUqM6jrPsXVz5VeoK4Rer3OeGgo1zAGcTU4PwLKK3 a+i0Rx2pQT0UtiIoHM2RXwTyvqCrzFeTR/EPk2RwPTK/jkA3vuMF+0SrLunLotJhzA+V6FgC ihm3FOlPtDerQ98SqG0lCCgPF3ErfQYdkwEDa8rEKJxH/bN2iWM9rZnojrOjgHv5ocYCdVwd yu/BbjejLVmbwpIYP51TSiCSSfrkk1amnilPVI/xMam3mgs2MPrRBUrIsBkY8Gg6qkfGgvNc omoAUxaOBRuaVceKL+4M1KJ4zmDaKYtjeYrcQO/FBNWcjhZU6Osf6N5oC1CNcyZKID3bOIqI fieWbe5pUY5E1wY/sASD4vgpdpGttobp4wqKyC2VfWbErsgSjKBhVD9UWbB3yctXUb0R51gC 783dOwWX2tphwX+Nr9qBfmoqijQDEHM4eh6Ge737JfPdQ+W7e30mJ4RIm64xP34V9/PL87f/ /N39BxdZ+2N6N/kR/oG5cO/Y96cvz6BmoXoxccy7v8Mf/IXVsf6HwT5TtABZV4kZClesKwxb vcH76uoG68tWKEY/1OedB8Bd97LBDkNLkFAxZp2dWbJj7bs7fWGQKb1EXcfaEJ0PL48/fuOe ssPr25fftONI2VXofR9olfVDHHB342U6h7fnX381v548lfQzdXZg0sJ5KrgWTk5xkahtnAmf l+zeehRNNPWQW78/gTg+pIXlflQhXTwXPybNOjrosUKUgDp5KQf6FkmhtHjVqQMxubytjl3P 398ff355+nH3LmZl3UzN0/svzy/vGIuD64F3f8fJe398AzXR3EnLNPVJw/Dp1F/ofwIzmnxM 12G6sY961vF0dfpJuIwiBiiWpzfJsgJTfmB8BypISJEn2QgHBLrzsaw/S/IgRxnukQiVK+BU 4nnZRmo5TmVTNEUbqlFmqhx2Q9PCCsPETVWZqoBZPF2qQuApG1poDFEXYhlan2WVQwLOzuV/ e3v/4vxNJjAsqgjkSWgNTgKYu+f5haEiy+I3oM8dzKHSCZTIQDJ0PJcFj9CjtyXvL7RNAAPP YJMI2Xr+TkSape2cM02SpsHnglliRS5ERfvZEppyIbl9VNXkc7hdDA8+axlCJMjZ9AjJ+FRg xgx277mndoVMGO1sRUQ7e3KplSyMLNFnJ5LTQx0H5IXcTGHKoTMGs47tSWFFolDzNigIJVyn jNjbqrPG8ZZojGicGomWr2ABsyDzI89ElKxyPYdskUB52yM8EW016QYExFh02SEOlChwMsIJ fapNHOdvzignCW3lxgSi3rmDEl5SgasZsJZd9Mn37k3wGtrNaDrmmQhd6rnHTMFAKd07iVnq AQQwS6Gw3ckQ/hJBoOaglz/16NQ/M0lRg+a/vST7C5CQofAkAp9YeD1G7iQmgwU11VqWA1eJ DfbLulJjvzJXx7fyDTq4lrOkgvQohZps22Auvkc1GxaR53ok5+NDsSd9R9YxD13+tE51i/ng AMlq0ulF4oOeEgZ5hSvhA2R4QO4u5KhxMB6Suqw+YN3RjhicnHk7OUX3Atceeclwaqey4d6N hoTgY/UuHqi+ItynGC7AeWRek5eyOvTILOXrFt/p0YrnaeyCjIysMxPgSiD3K4Ydtdy8LiQW d2xpBepReCfM54fmU91R1fJcPcbmef32T1QfNvfBlKOVXC3WK4KFYs4zSbA0Vo2HoUYPTflZ xjI7mOqSnDaeA/PCpcCNQWw1fwqD02ZmnSJPqwm/9DtXteotg7Okqd2oa05XaxZsuG4tNYK6 6xAHErfDk6Ny2RbneBpenwysuDAZkR+XmKkBfnNcejkP9dYwG2nMZgR6ZuyIDladYUGVUFan hWVr8PxQGw2a3eHMASQDEknY8ULwL9ZcGLF2tVu2BT54kUuUIpJyUfAo9Aj6WXMz2VLkW+KD SfPlb8tzU5LVrfXM3RjmMwytZOzp24/Xt20+IkVQmDA5Ji2cH90ZMN19WMJclGsgdH01Aqgk 7KHJxuE25XLnlyH8dbd2pQwfA8lRCbSCsCUDifhObaF4BjLXVA2YebFmR+UGM7mV2pUiJnhl aTL2iXydjsXhZpDFT4SxxHVvOgyzbkmgq1zLag0Q2aZpj2DkuoXS0LI+ovP5dP+6lFLyqGIl QEPa820iaLsxoau697U73eygVQ1CRlok5wHfzqp9WDA3xJBXi93YaU1G2EC3pYZNIx9CmBFR +7pJu8M0nGR/RThuuvgFV8tepQJaK13miYpViLgzMqaRcyrPGZMutdQqKFyHT4DyaVkb36wu H3N+5doytAvBTW8S5zuWxkxZ54UEMuadOtHD/Xhi+nQBMPtkayZ/33/C9TfWx5pyqlwplC2R 89y2ihPYBJXG/DCqDZyd1LQmshNCijFNSIc+Eb9XGyTJ3220jPBQzhth+YpzFVpkGfia5KH8 gH305iattDFcuGL28vz07Z3iiuqg1Ynqj7syxZlZzUWm54P0DnoeJSz0oIUYZlcOp9aXKEep Dv6GU/NSGBGuJpxhHpzgc8huS9QuQXQqkk4jmAOWqT1ahul8Wz2rJxh6Uleyb/wp3yHXNu5O J7gyTTUOfVaW6DlOmaCz3JNOmI7HIRHX9yjuMiVLVjcFVW6HBfe3v611Te0c0wpOqQM5LDIJ FVFBwmtOCGclAkDZwi4SUqzm8YOoHEOJCxS1CICCn0VVmo3HTvEx1FH8njNwZf2R192fVdv0 5WBJH4iH+ShyWtMLBQmgxLpo6LuUC3dd1tFTnIAvb68/Xn95vzv9+f3p7Z+Xu1//ePrxrkS4 nzOqfUA6d+7YFw9a0IMJNBaM0ldhCRa5ohYIiPVOYEGLexy+k8rPmL74356zizfI6uT/V/Zk y43juv5Kap7uqZoldmzHeZgHWpJtdbRFlGynX1SZxNPt6iROZakzc7/+AlwkLqDTt2qmuw1A 3AmCIJadSXnukOYpj/RIE+1ZlGREC4W1mZACVqy2n0gUnHO4XRaVB085MxrglBVlVq41Azye EM0VCDpeuUFBvpsO+Lkp8ZvgGV3jnMwr0ePzC7qtLK8yGPq0hLsoDkK4DEkJ96yLGRJ6jevx swsSD1vF8VQ0EfTlQq8kFn1GwEeznFKsDATnc7JZ4lNqDzBMSvpZpZ+TzCbn4b3Xxc3YSqhj gEcjqlWIoAVrk4JyfjXxl2SNdl5tjchBGmWUIKUIltmUWKoM+CL8Pxp3cxKXpnXZkQOfipgc 4/NrSghQNNFshyqi0is6r6LZeOLXGN84EYgVogBc04E0TGawsonK0Pe0XalDMZrF9PcZW1TR 6a0H25fFBDfIY0ZyCTvkzgBuqRFDq8CbC6JtfEq+zgzFRWmYZ0YLubO6iGLocjtG9Kk6DE3M brpLzDhNabFtMuRgE1lZYITJhhR49pQnK7hpmQjkD7VUVAVCYA8eXXFzBZz8k35CEZgu+hQV kMQtpV2x8Oi7RzRCInm6Iq9gimiTX88tSz8Fn4+n/oYC4JSoCMHdqZV8Lf+2DAb884Vi0uc+ H9FT6yGEaE80T8C7ZIdV0e4PFmGBcXPaJhBziTds5QRl1VIXEfRTw7oqDeRHx5DsedKH46BW ZJ5kGcP49FTMjjKDRb4rR5f005y8b3RRRtkirbe8SgvbqHmAab9qH+F6QRso1FiQDTFpXK0i QWLrrtYcbgetUnLLJ6/H4/2PM378eL0nQt8Kuy1L7yYhVV2aAV1gVHgdOaHKlMW5a/uF+rhr zNKt4cO9Ub5rSAR9s9TvGj6NptgKzY1X9rJp8vp8dH6i8HRXoUIoVLJ4AJn5JZfbLPhNHRPd hCmZEJ3U4yt8L50xk+8SLlQFiHLB6uXIr1jNUrwQoQuqGg40eqmrYMcnxgoVeaEeFLD46sSv HrUmq1rmWK6CX6tGVinwh2htHbgSozOEGx2u881lLoydLPcFkBsw50tqsXQJDMRa0FWoDCKO DfKwmNQbWnh8yl3BeFdXxChZirjQKAh9pTOvqnFfUMmmeqWp12pbRjkFzZvWSocnFWVwtbZ4 T0/e5FSYtUR1VwWkcmZrZ1wM1vMLXKt5bRm39FAypavCVq3LaDA9nYhx3vgjwTEUZ2TOdwTD MvI3igjngqEZcNhmEynIKu0Ayf/6D1maLUpLrMcG5QAjOqFPlS5ft9bqZMAGLnCn1ltYNblT IjTtWjQuUKx+6ZCf6QFLL2awx92y1ulsPD4PlaS6o2/8/VdVmbF6iZuWl5GmCquHWRWh4TJ1 v0DmXsWR01i5ZeEL0yMK1dB5fOOS4nmFrzo2FLeD21fRFiyU5uZwXrfBjIj1/un4vn95Pd6T 9h9JXjYJnHF0vgXiY1noy9PbN+IlroLuGPsPfwKTdCGiOys0aQ9jVHrcoaEunjuWmxQlz2nB QpJInRzdb6t//dxg+NRtWvdBZ2AvPT9sD69743lQImA8/4f/+/a+fzorn8+i74eX/5y9odX/ 34d7ypETj9Yq72KQn9LCj0rGnh6P3+BLfiTeP6W9QsSKjZ15WcGza/gX421NC5OSarXDDZEW S9LvUZMMLfTrSZJABxy6nKxpyJZI9FQOgXgTdkZgOOuk4zsKtpjClOItAwUvytI8VCWmGrPO Tn+qEKq5JislGmOeu1cjwV5SShXZY/myz4C5eD3ePdwfn0K90/JlhZFi6CtGGUlfNtI2QWDd OKCCgeXWCUG2Q8av21V/LF/3+7f7u8f92c3xNb0JNfamTaNIve4EZQr0OaX9AOKKMRGinetI QKpxnzVBugn8nu/oXYKn2aqKNmN7FRsjBBTz3KzRK0yaY4Pw/M8/gUqkYH2Tr4wzWQGLyuoO UYwoPnlGP4ez7PC+l5UvPg6P6OfQsw/fqSVtzBg14qfoEQAw4EqmpFNV88/XoFxUHw53zf5H gPmow81iCI0IY8jIcxORsJ1qFi1X7kcVujFsa/uR0qLgUUU7BgzIEJcCgjx3Ph5eTqhOiu7f fNw9wpZw96Z5MuOFGY1A44V3aOPzVMfpfSAJ+IIyb5M5lbMo8krEvPKhDwBXGdo/dQYmuQdy ss/3hJ0TjVwhqnHlwbj3vcEmTfg2Kjj3uHI/8uT4mtvSC7lcY5gwKwIyOsBp0MASBXDOLi+v rigtt4GfhL6jVL0D/vIq8B2t6TcIPmnPKFDujFbYmBSfVj2jlYcGBa2DNAjmp4flyk5nYCDY qdbl5SIlwz0OBUxCJU8+GxjSCtdAX7iLSUCjUHUJ9YBk4NmILG9hmkrru9CqtkL+9vC0lFyM lmA11ScylxA05B0/iNd2QJsya0Rg0rKtMvqurqkvPGr7KDUvzjJ8pJSHtMCzOzwent0ztGcJ FFbjfk6y7u+pmDx9s6yTG12z+nm2OgLh89Hk5QrVrcqNTohYFnGCrH3ojUlUJTVegpm0aR1U dyYJSmycbcg8eAYdetvyipnGsVYxjPN0k7idIC4SmJFbRv/oRJAvRUnIoZjpD2Qig8q6KPcj 1yUbx01S60l2TTQ4aCb/vN8fn3XsZC92hST2Yg0ocM52o8n0knL1HiguLqaG+f0AR58mD141 xXRkuporuDyqQNAQlgQeum7mV5cXzIPzfDo1k3QrsA5SRyEiEfD1wjbShzO2rGkn2ZQUh6ut cc7CD+l5aM3UNj8RwxmxQhFIl62UhE20cItUd47AZ4ukhlu43bLhhmEVpHWsgZJ6k3jrI6V3 DHyzThebxq4clvLIg9hONAIo7dlWoZLTGz4bm/5RCIQ742gOEjyPGre8cLh5iTVDr2gIkSoC UUJqTs3sMgKqgvo60J1TrvC+cBsn4i7FeUjziiQiesV8ahdm6TgRYCYIr8rEQTpyl4ApzWsT cB0XNOoIC7RMnVrO4s/G86jKYre+kEOLxNU+fUMJ3RKTmz5ZPchSwyPUs/MXwDSJSBNLhVzX cj/bH21DmxMwfWIhA7xJMd5DIKWFIBCPKJ4WCQ3l7uHA9FN6AQanwlB9wPYz3UbQNL5mbtwt qaBnacBRRi0C2HMRflmFZBlNB42gXpYUuv7KRoLGEDXUchBVmA1r+GSOVkq2ZaDxPoP3MmDQ UevSOJWu59wrHL4YTJhZGpORqvFoBULeJM7TEMKLJidf6NXBjRXAMbVICyuSRFkWK9SgVRG+ DZuTAxciPTNau+BOdd8uEDKuOyukqsj65+oKLBxr1pekV6nE7vjofOeWJ7RRk6lfmDw6gqV5 eioLjL8ilrnYNY+vXRiM9KUHE+x/tXXh12PH+UhAMwabjF5BikAeDMG+5NG6Av7D6t3UrVF7 n/lAGQQC5DNvDArLilXCzNdDp3XyBaPkpGPnQFGZUVYlnEdm3kQFcyIeKmgZLSs7vrNCuPHc LGyTDkFrLIQfEc+Gd6usTfza0CmANiVBSwa1RsQ70lCwg8TXJC3LVuvbM/7x15u4ZgxcUjnT 2eGCDSCIlHBAxjoYsGbIgNASBMqLdFotpHLiZYiIq6vcrg7pIlbI+CUYZdner4iWr+4tp5JK KPxVaseOU+Dpeaqj6BoIsSrnMri1W5d+GhBBnak7tkE0GrNTZSj0Bdr0UdelgZTtVoKILgix YiKQRGX4/LQ4c+YMAqVSx3atnTm4XRUt182wP+l4bQ9vbwiC3ffnE9EF12NjIAo+VkZjsdtX Edibs4ayoOrxTpxFo3nuGFs0yk9TjEegeE3CWbYp7Uaj6C5U6Tf+GsvTHfDf4DZRb7ptINGR JBGvweHVjQSX537VIgmbOFa98QcUhuksSmIKtKhADKU8HrpNvUOL6BOrVhHWIG3YFSin2cup uC9mLcdMvMS4yCPz5HRLCn/AMZVcB1VAC9vGzh9p4uciRF94viVdVI1GfTkGFi4M3Xhe5CKa vVtFjzzBIZDGb3teXVDjLuBYU6itaG3iTTJCW+fmrMA7Hu64PL07ntRWgnbxKauqNYbBz+Mc 1uS5W3QZJVnZqE+DC1rIVifWs3r7v5mcj66o0RD4mxNjKwhkqgG7/T2CFxXvlknelJYLsvOx KXE6KDG/ocK9Idc9mp/Pdic6LnyTR7iv7JJrJt7/veUifOVgs14QR1ivLo3FL9Pt1UILJhDx lGJONlEsiQJtH9Sz3vnQo0RwarcSdQOIK5kINlC8ohJ8VNDZVSg0dURqe682EOjLonHWlEXU C2QnVp5Jc+G2pEeeYJzDLWvtrgK48ohL/+gCOBIMhLvdB/xkwNvdbNL15PzyxAoUV/zR1aSr xq1desyUNOeA8/lo5sCFEkZdruyjH4RgNPH1RgbVhqMxGXJHnkh4h7lOknzBbnV0cqsAmyLc v14ZJo5FZxENSCcAOgqqpiuuee20Bef+E1SCR3bCpTTOEqjjSxLR9olxU1E6utxWVMJPlK09 TUe1f8WoN3fP9/uzp+Pz4f34avnLDecvzFk0A5mjci1EdY9OlNRfUYYsbOz54fV4eLAqKeK6 dPMIaDsSRa5LipmlCaXD0623Z++vd/eY6M1T5EhLx+EHmi8DW18w52AeUPhiTk8B0oisEdRL UIMPvm0dJYapho/rA1IOWLmuGsvkXcO6VUO9bfdo3qz9gjrgVgS0Mt+geujg5qtmgBhM/ZG6 2Bq/unxVG1feAKZjI+N8UTaNVQ1HnuM17qG8BCJ90bjVxC9ieATRok5jO8ejKh1TLX5NFJ74 Wu3lCoNuem95oug6WVl5d8ulA7ebGy8zcjlZfcmrYG+4JaTCT508uyuctJ4GSc6E7Gy/xRiI tRkZ04DDn120DKBUEBIDxa2klQKySJbp0qm0NM0/m6R/t4N/Uu+dJrhndOhsBZOxS3orsfzj 8f3w8rj/x0rSNPDCdtexeHV5NSbjU7Ru9GqEKDeGwQyGqKLn4nlXVhYP52nAdpZnab5oaQlD pEOAfxcO51doWIIqs6r9Rd1WMFPkO6TUzyuz8KJx2JxQ3fdIskkYLeEmodT2aPp+07I4Tpzg IdrKuoEDCE62xrGu1HROwkn8LUXmmDzcEB3JyKFDBAH7QVWGOj487s/kIWs8sW5AMI5Zk8AS RKdmK34zgFI352Gya8ZdKODrrrnoyAingJlYeX0EoOVQbVmLMh0UtqbkKSzOKPNRPInaOm1u nYZNwtFmEXndYp577bylMF8W8dj+5Ub4wdRBi4hFa0eFmMJYYX4eqr9fBMIol+7PF7svBtSL LCFIG9ak6MRBVbnTVfafIEQZeHcb2qkXSW7asqGDnezMVgeqNH3g8XdZZBigQ4cVtspSuDqp WEpbpCLVltX0k89OjwuJXS15cGEumuBMFWkmPzQmfOwNpQDh8NOFqC+6HWua2vvuk1HUNP5C EBhYd9E11RwZ/UBKwykZMUOXjEoaTANpHcgamX0tKeCE6gaA1/Sznab4yhvaet6oriYNtr6W ReKPO+Y/oJ5KQvwBF7vNZyREJVUqK7v4FO4TiEgDlk7wYVJE9W0VGmGOifXsSdMgfw8PqEWb wkldwGG4KhieA+Sq4n3YmeGGI0GkvCswOgT/UCkLfiJ2vnFJw3xbEig2YWo+pEuwwxolsKkT 0/pzmQO7GbmAsfNV1FixrFnblEs+CW1giQ5hl+IgoYawhPHO2K21vQcYcKI4rWH7dPDXaQKW bRnceZZllpVbs+EGcVrECbVWDZI8gZ6X1a2WzqK7++9mfLgCs7L58deXXJ8/NsCdDwHERc0p mH+PUdXLpsS/1WX+R7yJhaTgCQopL69QiW4da2WWmrkovwKRkxovXnqzpiunK5S2aiX/Y8ma P5Id/gkSGNmkpeDHhnDK4TsLsnFJ8LcOHBPBzaDCQEWTi0sKn5YYcohDB385vB3n8+nVb6Nf zI01kLbNkgqPIprvyD2BGj7e/573oeeLxuOEAhQSbwSy3loS4KkRlOqOt/3Hw/Hsb2tkB5UQ yKr0nhIYkGOzuE6M8+Q6qa2EgdrkTO/gOlrrhc3hZrVKmmxhEoRBXWVFmsqTfBl3UZ1YRufy r2HYtCbG76QpkXMZIQxdYxPSJb4wYyzCjz5LrLkkDLReUx2sKWv6TNzlBWWzaJNcTu16e8x8 eh4seD6ltKoOSbjgcIvp3EcOyShU8Gx8omAqZLpDMgkWHOzLbBbEXAUwVxehb65Mk1Dnm3DX riaU9YvdmEuna8A/cVF182CpozEZSsalGbkFiEBv5Olp1ktZqJv4Md3cCxoc6NyUBs9o8CUN vqLBo0BTRoG2jKbuQF2X6bwj/fY1snU/wdCOcJQx+tqiKaIE8+N9QlI0SVtTLzg9SV3CJdBM u95jbus0y2yNrcatWJJ9UvcKpDgqdofGpxFme4/9etOiNZ3trQGRDfXqAon3OuWU1hYp8DAd yoNLOy5sD9AVaEWfpV8ZyuZ9yEWT+VsaD+liu7//eD28/+tHi8T05OZhdovC302Lid8d2atK ag63cJgqJAOZeWVmGq/xPT52ilN3iAHejwj87uI13EuSWvSDFnCRSkjxaeRT6fNWXR8xwiEX Jk5NnUZmvANFYJ2wbJPAH3WcFNA4vDqgdArSLlyKVAa5vhEeGXVlgdMdLyFSk28r1aDlkfg2 h9lbJ1lFByhRotHQHTNCasbzP395vHt+wKgEv+IfD8f/Pv/6793THfy6e3g5PP/6dvf3Hgo8 PPyK6Xi+4XT/+tfL37/IFXC9f33eP559v3t92D+jAn9YCUZuzbPD8+H9cPd4+F+RHtiQglGF hMZz1zAhdrRrgULLIBw8IxkVeVeTpKhmt9NWGb6FZDs0OtyN3ufFXeq9lqas5W3YlM5EsFTn oUHAQNqKqlsXakUtlqDqxoVgkNYZLMSo3LgojPWachECu7pBHaQd+tUjwjZ7VGJPlf1V6vXf l/fj2f3xdX92fD37vn98ERnmLWKYnBWrUrcMBR778MQKjDYAfVJ+HaXV2gpIYiP8T9ZWFFMD 6JPW5l18gJGEvYzqNTzYEhZq/HVV+dTXVeWXgEomnxTOAJBI/HIVPPhBP/OOulZRrZaj8Vym w7IRRZvRQL8m8Rcxu22zBn5t7myFcfNs2dg+XLu8XH389Xi4/+3H/t+ze7Ewv73evXz/11uP NfcWNJwHHigx34Z6GEkYEyUmUS3Bbpd4TgaPVAPU1ptkPJ2OrnSv2Mf79/3z++H+7n3/cJY8 i64Bczn77+H9+xl7ezveHwQqvnu/M2+TusSIesHQcxrlRAvhggz/jc+rMrsdXZwHgo/pjblK MedMuA6e3KQbYnjWDFjyRndzIWLePB0fTNWMbs+CWhrRkjKX0MjGX/8RsagT20xBQbN6Gy66 XC68YirZRBu4I+oDqQLd5ok6WQyCW9OemCzUJvfjtcYcmoHhsgKcaxbnxCbXbYSGh2vcyI+k eujwbf/27ldWRxdjvzoB9kdkp9iv24xFxq6T8Yn5lAT+eEI9zeg8NrOf66VNcnq9pH0eGE8I 2JRoK0C7ioyYoAlSWNvCepYa8TqPR+TNXm+XtemTbACxUgoxns4oLrNm01CQyp6CTjHY8ylK TaCRqIBelP4Bua1k6FjJiQ4v3y3n0p5pcGoHJBia7FSTQITaLp1LjMcWGIZUTMmAlZoCLxhe blwDS8baHdAzr9cx2aGl+PtEWYrP+rOa1FVS+MIEzydENc22dAdFjv7x6eV1//ZmCdN9g5eZ rctTnO9rSdQwJ73y+0/8nSMerTwoPlTppVHDheL4dFZ8PP21fz1b7Z/3r1rs99ZFwdMuqmoy MKfuT71Yiajs/tQgZk2xRImhGZLAwSFyukavyC8pJo1N0IbQFOANMbNToTdM+fnx8NfrHVw8 Xo8f74dngqNn6ULtGR+uOKORQMo7zQaqE7MIRHI9flKSJPqkoF6K+aywnvB0gXGg85qdg0yX fk3+HJ0i8TJsEUQn+0wLRD51z5Od2d8SbGODV9dtWhSEvI5Y3hZzWPz+RjWR/qsnRYSr7xTj tIg/2W0maUPdkwYKTnFGEx1OTUDQVp9VRl/wBEV2MR1RrFujvJe9gUAZagcrn1ISnZhd4bXP yLdmj6yhj5GBgK9poxGPMAlEIKRKHJ9PPi31JgoEODZJMK7RZ6smzVdNEoUnSZkc0gKCGGq2 THZRQlsuGnRRBALK6bYIbyKeULxJDFCelas0Qp+5T7cNG7eUmYlBoo28y4gLQUce5T9Fpy4p P0dLXXJc2nVEHJM+jTg1xQoxw+8zfpvnCeo5hYoUnSNIZNUuMkXD24UiG4wLBsKmyk0qyuZp en4FnKZWythkMJobnk6vIz5Ha4oN4rE4SUO9pQLppU6Y49nfSSyqHbCUAY5WIxh7MJEGLGhT ojXD/Wm+f33H4DZwG387+xvNzw/fnu/eP173Z/ff9/c/Ds/fzExJ+Pxp6q5ry/bDx3NM7mNj k11TM3NkvO89CpHd5c/J+dWsp0zgHzGrbz9tDAgR0XWW8uYnKISsg/+yUhIpsjrZlHLsBAlt qvATo6lrX6QFtl8Y0yz1dGRBqUoqSU3lqYZ0i6SIYNnXhpM62s+xGkiKleVYxoQJ0wBYpHAn wpQBxixon2O4LhVRddsta+FsZS44kyRLCgcblXXseOrVaZ50RZsvnBRGeogbTLom0iOamzwC jgjCqQWyT0PYid5NOurSpu3sr+x7Pfw034FsODCAZHE7txmsgQlkPZEkrN7Cej1BAQNO8txo ZrHWyP51ac7swldfRMY7mK+vgFUQl7nRZ8qqDoVAEPPtC9ZXKcc6ULhv9aaCNhSN/H34hKSG yxYNJ0vBaxhBLsAU/e5r55hVS0i3m9MZkRRaeBORihJFkDJzphSQ2SkQBmizhjUfLgz9PyOv tEX0hSgtMHFD520LTQs+8beu+XTXn28YZRFY3CaBttdm+rg1EybeZrBHCRJGw3Zahj4PoQIU IsytTMsHzGJlutkInEiSyCo3PKSwBEIci+O6a7rZZGG+HyMGOpmxGr2E1uIGa2NZlZKZ9wYE NIsaUtUegq/yVSZHzhjQrFzYvwje0o96U+apvdezr13DLIUuRmiBWxslnOWVnbMEfixjo54y jYXnDDBma/ZgRnUTNjEv/YatkgbdGMplzIjwE/iN8IGw4m1zDCieWQH00R2vzJw5xBVRYfxP 60WtRwGmTqQfY15hgqMMxBaCrmVRhMt5mbV87by1S6sxfG7dssycLwTFSVU2Dkye9XBQwcE1 7tPAcVhhjh9DhW701NtsufjCVqY00aB0QdoXeKf6sOOKET76l/HgiNO/2GrhS0BfXg/P7z/O 7qDAh6f92zffMCGSnnIdXAAyONKz/nXvMkhx06JV5qRfXEq89EqYmMJQvihRRk7qumB5QopB wcb2Kr7D4/6398OTEoveBOm9hL/6XVvWUJMwNf5zdD42WwNjXmGiDmwXHYmGxeJ5kJkRZdcJ BpxCQ1xYC+Y7oGIK0lAezf5yZqVbdjGiTeiuYNtei1KWJfooLttCfiJWNfIwopWbHOQ1dJgy +ahZyjZh12hP0kVVay6snx5KMfBCYXm41yss3v/18e0b2gSkz2/vrx9PKtnqYPbI8CoJ4i8Z xEq1j3st5oJDbjs5su6ocPFiKwhy9MYiD2OnJLSgIFog2JrY+dcrOzoy/iY+GFjJgjOMeFGk DWaDdFoqsOTC/qkRtIcDzV0TYiDQptTTfitjjr7cYQsIez24GCUFd9wiZXGIFwcTOZ7i63Jb BOK7C3RVprws6ExSso66jBma8TtZLyQS2CFsjkCc2KxdiNOd2qJiFtVYwVGQwVJ3l9RncDxC xMEjL4qj2fn5eYCyN6JZLv0+9FToRtDxiOT7ikeIQ6S1c9tyOJNihUqKWLrkECeZLGIDbV41 yJ3cfm1yHyLeNe1Dr0fVC78vonQQ3FeB3MJOE07tFkUrU8oTNUnEiWpkXFJhzXR6AYihQzeI pfSe8IfcRxpcgHHT3tFB4ADaklskdHoK62vaJXZb1nhlBh40sAuQRxNbRSzKOM2ilokTyVdC SD7j8QF3RPnaiSwon7uR/qw8vrz9epYd7398vMjjYH33/M022mcYdQhOpbKsSNN9E48GVW3y 57mxn8tlg4ZhLV7aG9j2ZSDNmEB2a4z30TBOWY1ub+AMhZM0Li2Hk9M9kSaacN49fOAhZ7LL wayNQNvrCeXZ6ySppEJEql/QnmPg6v/z9nJ4RhsPaMXTx/v+nz38Y/9+//vvv//HSJCADmOi yJUQAHunHNNHYnPaf0yloSPzmyrmC9estkl2iXfg+inz1K6jybdbiQGuXG5B3l77O7rectrL QaJFY529hDCQsz0AKjz4n6OpCxaWNFxhZy5WstCmZiD7SJKrUyRClpd0E6+itI5auCSCsJu0 urSx3yGr8RIsL2swTklS+YOkplNcJsk87ubUwg5B7z0nR/QwFealoT9MltZnJKP4/yxYu3PA P8Tp4NyLxICazRASLkx21xYcLutwvkl1UnB1XEtJQG8puZN/SIHp4e797gwlpXvUiVosSQ2q p1m1pRwXb2+ElT9L0ho6lDhdCC5FJ8SaqBRhABz/TYcjBfphtyOqYZyKJmVZH7kF1iAl1dHL AkO5YRzSxBO1EBNaEwZJnSztAszPaysOPIKSG8KPXDRCWIZ3K7HJ4PqRlnSgGbt37hQAi5e3 mFrcX4LTJz1vQcZFTXDjnOP9PUq0vw5hoanVmqaJb+G+Ctt56YyALEAyklwEiBCmyHXskGBI UdwHghKE5aJx7eMj9aEsZUDKsiObRyMwcFzIxtCStEgZS7EZQ1rDuD5dqi5PdoBnNaOSxpMf Xo7/3b++3JP3jyrqTW23cPc39YbSH1gyZGCjcKLMJuZ3Sd6iAjmWVwBDwkLvjApPf0dxMoxD t0x3IGVQ/DHnaSfVNaf02rvc9GXHX77Vs4RC5zgcewv7Lm9+ARegLqejxMjj30rPipmrt6ml PhCDwepscPmmEcKYvjRVbUiggF3ZNlXb+G9iJk1a9CSj8dykqJq4zSu7ZLVPd6YE5q8FUzvV 7N/e8cBBmSzCZBd33/aGjwwG0BiqkPE0RCWmumAIs+HCVGZkEie2oJtXWXP5TqzM07EO7GgI 1r5jacYzRocHRaS8KHvXbLrk3v3FWNBYRs6uE+0y5KBSqWSFCbabZZerlSOnmMC15UuhrjJw RQGwYkemXaaiHm4mSJYUYrMLpWyNqgGqQkGJarS6zdHRydKmSWR9A81KmFyM5/9MzvFyPhwz wClRr4xTilwAzeFCHUPvfVjg9qoYAK7PC7lGe9ELxZo85RwrjctINN9YnFLsWaRyRXGieK2g /T9PLZyw9Z0BAA== --LQksG6bCIzRHxTLp--