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=-2.3 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=no 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 CF984C49ED7 for ; Mon, 16 Sep 2019 18:44:55 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id 8C2A420665 for ; Mon, 16 Sep 2019 18:44:55 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1730097AbfIPSoz (ORCPT ); Mon, 16 Sep 2019 14:44:55 -0400 Received: from mga12.intel.com ([192.55.52.136]:51168 "EHLO mga12.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1730015AbfIPSoy (ORCPT ); Mon, 16 Sep 2019 14:44:54 -0400 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from orsmga002.jf.intel.com ([10.7.209.21]) by fmsmga106.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 16 Sep 2019 11:44:52 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.64,513,1559545200"; d="gz'50?scan'50,208,50";a="198428975" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by orsmga002.jf.intel.com with ESMTP; 16 Sep 2019 11:44:50 -0700 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1i9vzV-000Eep-QN; Tue, 17 Sep 2019 02:44:49 +0800 Date: Tue, 17 Sep 2019 02:44:13 +0800 From: kbuild test robot To: Al Viro Cc: kbuild-all@01.org, linux-fsdevel@vger.kernel.org Subject: [vfs:fixes 2/2] fs/libfs.c:113:4: note: in expansion of macro 'lockref_get_nested' Message-ID: <201909170209.ohZzVon0%lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="2l3duro6hhm5qmuh" Content-Disposition: inline X-Patchwork-Hint: ignore User-Agent: NeoMutt/20170113 (1.7.2) Sender: linux-fsdevel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-fsdevel@vger.kernel.org --2l3duro6hhm5qmuh Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://kernel.googlesource.com/pub/scm/linux/kernel/git/viro/vfs.git fixes head: 123a084a6b2a8c93285976f28b61bd30ea4368d9 commit: 123a084a6b2a8c93285976f28b61bd30ea4368d9 [2/2] Fix the locking in dcache_readdir() and friends config: i386-defconfig (attached as .config) compiler: gcc-7 (Debian 7.4.0-11) 7.4.0 reproduce: git checkout 123a084a6b2a8c93285976f28b61bd30ea4368d9 # save the attached .config to linux build tree make ARCH=i386 If you fix the issue, kindly add following tag Reported-by: kbuild test robot All error/warnings (new ones prefixed by >>): In file included from include/linux/dcache.h:13:0, from include/linux/fs.h:8, from include/linux/huge_mm.h:8, from include/linux/mm.h:587, from include/linux/bvec.h:13, from include/linux/blk_types.h:10, from include/linux/genhd.h:19, from include/linux/blkdev.h:11, from fs/libfs.c:7: fs/libfs.c: In function 'scan_positives': >> include/linux/lockref.h:47:33: error: 'lock' undeclared (first use in this function); did you mean 'sock'? lockref_get(((void)(subclass),(lock))) ^ >> fs/libfs.c:113:4: note: in expansion of macro 'lockref_get_nested' lockref_get_nested(&d->d_lockref, DENTRY_D_LOCK_NESTED); ^~~~~~~~~~~~~~~~~~ include/linux/lockref.h:47:33: note: each undeclared identifier is reported only once for each function it appears in lockref_get(((void)(subclass),(lock))) ^ >> fs/libfs.c:113:4: note: in expansion of macro 'lockref_get_nested' lockref_get_nested(&d->d_lockref, DENTRY_D_LOCK_NESTED); ^~~~~~~~~~~~~~~~~~ vim +/lockref_get_nested +113 fs/libfs.c > 7 #include 8 #include 9 #include 10 #include 11 #include 12 #include 13 #include 14 #include 15 #include 16 #include 17 #include 18 #include 19 #include /* sync_mapping_buffers */ 20 #include 21 #include 22 23 #include 24 25 #include "internal.h" 26 27 int simple_getattr(const struct path *path, struct kstat *stat, 28 u32 request_mask, unsigned int query_flags) 29 { 30 struct inode *inode = d_inode(path->dentry); 31 generic_fillattr(inode, stat); 32 stat->blocks = inode->i_mapping->nrpages << (PAGE_SHIFT - 9); 33 return 0; 34 } 35 EXPORT_SYMBOL(simple_getattr); 36 37 int simple_statfs(struct dentry *dentry, struct kstatfs *buf) 38 { 39 buf->f_type = dentry->d_sb->s_magic; 40 buf->f_bsize = PAGE_SIZE; 41 buf->f_namelen = NAME_MAX; 42 return 0; 43 } 44 EXPORT_SYMBOL(simple_statfs); 45 46 /* 47 * Retaining negative dentries for an in-memory filesystem just wastes 48 * memory and lookup time: arrange for them to be deleted immediately. 49 */ 50 int always_delete_dentry(const struct dentry *dentry) 51 { 52 return 1; 53 } 54 EXPORT_SYMBOL(always_delete_dentry); 55 56 const struct dentry_operations simple_dentry_operations = { 57 .d_delete = always_delete_dentry, 58 }; 59 EXPORT_SYMBOL(simple_dentry_operations); 60 61 /* 62 * Lookup the data. This is trivial - if the dentry didn't already 63 * exist, we know it is negative. Set d_op to delete negative dentries. 64 */ 65 struct dentry *simple_lookup(struct inode *dir, struct dentry *dentry, unsigned int flags) 66 { 67 if (dentry->d_name.len > NAME_MAX) 68 return ERR_PTR(-ENAMETOOLONG); 69 if (!dentry->d_sb->s_d_op) 70 d_set_d_op(dentry, &simple_dentry_operations); 71 d_add(dentry, NULL); 72 return NULL; 73 } 74 EXPORT_SYMBOL(simple_lookup); 75 76 int dcache_dir_open(struct inode *inode, struct file *file) 77 { 78 file->private_data = d_alloc_cursor(file->f_path.dentry); 79 80 return file->private_data ? 0 : -ENOMEM; 81 } 82 EXPORT_SYMBOL(dcache_dir_open); 83 84 int dcache_dir_close(struct inode *inode, struct file *file) 85 { 86 dput(file->private_data); 87 return 0; 88 } 89 EXPORT_SYMBOL(dcache_dir_close); 90 91 /* parent is locked at least shared */ 92 /* 93 * Returns an element of siblings' list. 94 * We are looking for th positive after

; if 95 * found, dentry is grabbed and passed to caller via *. 96 * If no such element exists, the anchor of list is returned 97 * and * is set to NULL. 98 */ 99 static struct list_head *scan_positives(struct dentry *cursor, 100 struct list_head *p, 101 loff_t count, 102 struct dentry **res) 103 { 104 struct dentry *dentry = cursor->d_parent, *found = NULL; 105 106 spin_lock(&dentry->d_lock); 107 while ((p = p->next) != &dentry->d_subdirs) { 108 struct dentry *d = list_entry(p, struct dentry, d_child); 109 // we must at least skip cursors, to avoid livelocks 110 if (d->d_flags & DCACHE_DENTRY_CURSOR) 111 continue; 112 if (simple_positive(d) && !--count) { > 113 lockref_get_nested(&d->d_lockref, DENTRY_D_LOCK_NESTED); 114 found = d; 115 break; 116 } 117 if (need_resched()) { 118 list_move(&cursor->d_child, p); 119 p = &cursor->d_child; 120 spin_unlock(&dentry->d_lock); 121 cond_resched(); 122 spin_lock(&dentry->d_lock); 123 } 124 } 125 spin_unlock(&dentry->d_lock); 126 dput(*res); 127 *res = found; 128 return p; 129 } 130 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --2l3duro6hhm5qmuh Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICLnRf10AAy5jb25maWcAlDzbctw2su/5iinnJamtJJIlKz67pQcQBDnIEAQNgHPRC0uR R44qsuQdjTbx359ugBeABCfJVmqtQTcat0bfwW+/+XZBXo/Pn2+PD3e3j49fF5/2T/vD7XH/ cXH/8Lj/zyKVi1KaBUu5+RGQi4en1z9/erh4f7V49+PFj2c/HO7eL1b7w9P+cUGfn+4fPr1C 74fnp2++/Qb++xYaP38BQod/Lz7d3f3w8+K7dP/rw+3T4ucfL6H3+fn37i/ApbLMeN5Q2nDd 5JRef+2a4EezZkpzWV7/fHZ5dtbjFqTMe9CZR4KSsil4uRqIQOOS6IZo0eTSyAlgQ1TZCLJL WFOXvOSGk4LfsHRA5OpDs5HKo5nUvEgNF6xhW0OSgjVaKjPAzVIxkja8zCT8X2OIxs52X3K7 z4+Ll/3x9cuwehy4YeW6ISqHBQhuri/e4ja2c5Wi4jCMYdosHl4WT89HpDAgLGE8pibwFlpI Sopuu968Gbr5gIbURkY628U2mhQGu3bjkTVrVkyVrGjyG14Na/chCUDexkHFjSBxyPZmroec A1wOgHBO/UL9CUU30JvWKfj25nRveRp8GdnflGWkLkyzlNqURLDrN989PT/tv+/3Wm+It796 p9e8opMG/JeaYmivpObbRnyoWc3irZMuVEmtG8GEVLuGGEPocgDWmhU8GX6TGmTD6ESIoksH QNKkKEboQ6u9DHCzFi+vv758fTnuPw+XIWclU5zai1cpmXjT90F6KTdxCMsyRg3HCWUZXG69 muJVrEx5aW93nIjguSIGb0wgCVIpCI+2NUvOFO7AbkpQaB4fqQVMyAYzIUbBocHGwXU1UsWx FNNMre2MGyFTFk4xk4qytJVMsG6PfyqiNGtn17OsTzllSZ1nOmTt/dPHxfP96AgHAS3pSssa xgQBa+gyld6Ilkt8lJQYcgKMwtFjUg+yBlkNnVlTEG0auqNFhFesoF5PGLIDW3pszUqjTwKb REmSUhjoNJoATiDpL3UUT0jd1BVOubsD5uHz/vASuwaG01UjSwZ87pEqZbO8QYUgLGcOGuAG WFpxmXIaETKuF0/9/bFt3gXm+RKZyO6X0pZ2e8iTOQ7DVooxURkgVrLIuB14LYu6NETt/Cm3 QL+bsx2q+idz+/L74gjjLm5hDi/H2+PL4vbu7vn16fjw9Gm0SdChIZRKGMKxdj8Esq89/wEc U3E6RUFDGUg/QDQ+hTGsWV9EKKCK14b4LIRNcHUKsuto+oBtpI3LmVVUmkcv39/YqP7WwBZx LYtOotmNVrRe6Ajjwbk0APOnAD/B2AEOi9kX2iH73cMm7A3bUxQD43qQkoFk0iynScG18Rkv nKB3rCv3R1Tb8pWzhnTUEkKDJgPdwTNzff7eb8ctEmTrw98OfMxLswIrKGNjGheBBqxL3VqE dAmrsoKh225999v+4ysYxYv7/e3x9bB/sc3tWiPQQCJuSGmaBIUp0K1LQarGFEmTFbX2tDTN lawr7R8d6HMa36mkWLUdIlvlAG4dA/2McNWEkMFKzUBIkjLd8NQsowMq4/eNorTDVjzVp+Aq DQ21EJoBC94wFUzOQZZ1zmDbYl0rsHD8C4y3HufRQiLEUrbmNCb2Wjh0HIuTbnlMZaeWZ1Vu TI6DgQgKG6SRZ5iB0im932gMlgEHwPQVNMXkMyzP71syM+oLB0VXlQT2R+UA1geLztuxO7oQ E34acHYaOCRlIPfBjgnPv2MQlJeeo1WgCF1bC0D5Lhn+JgKoOUPA80xUOnJIoGHkh0BL6H5A g+91WLgc/fZ8DPAcZQVaBdxEtKvsYUolSElZsHMjNA1/xITnyAh3YoSn51eBjQ84IIApq6yB B6unbNSnorpawWxAxuN0vF2sMn9es2J8NKgAr4Qj63jzgMuD5nQzsabc2U6asyXIg2Lif/Qm RiBex7+bUnDf6fZMSFZkoEqUT3h29QSs26wOZlUbth39hKvgka9ksDiel6TIPAa0C/AbrPHn N+glyF3PqOUeQ4Gir1VghJN0zTXr9s/bGSCSEKW4fworRNmJ4Jp2beglRI62B9vdwFuG7lFg 51RZN3z08iIjWEc1i91bq6EwnDLMF6iVdHRI4GgEXgYgszSNSgLH0jBm09vmVlu2Qadqf7h/ Pny+fbrbL9j/9k9g9RDQoxTtHrBVB2MmJNGPbAWsA8LKmrWw3lXUyvqbI3YDroUbrrGWXMDm uqgTN3IgJ6SoCKh2tYpLzYLE1BXS8imTBPZe5ayLJ/gjWCjqRLSvGgVXUorZsQbEJVEpOC5x Pa2XdZaBnVMRGLN3TWcmam0r8DMxuBbIDMOE9f4wmMczTkcON6jgjBfBTbGSz+qjwEUJ42od 8vb9VXPhSX747SsRbVRNrTxNGQWX2btjsjZVbRor1831m/3j/cXbHzD++SZgedhs9/P6ze3h 7ref/nx/9dOdjYe+2Ghp83F/7373/dAiBB3Y6LqqgqghGI50ZZc3hQnhWdN2ZIEGoCpBuXHn dF6/PwUn2+vzqzhCx39/QSdAC8j1sQJNmtTXqx0gEN2OKnhFrdJqspROu4Ac4olC1z4NTYJe 0iBLoSDbxmAEzBEMBDOrdSMYwFZwN5sqBxYbR7HA2HMmmnMsFfOWZH2VDmTFF5BSGHxY1n7Y OcCzdySK5ubDE6ZKF7kB/ah5UoynrGuNAas5sPUN7NaRojNxJxQsS+lO8sGU7K0NLgdclkaL aq5rbaNxnkDLQJczooodxaCTr++q3LlBBchC0Ge9I9VG3TXBo0GGx/1n1EW1rICvDs93+5eX 58Pi+PWL82o9d6klcyOhf8BrwbRxKRkjplbMmcwhSFQ25hXEu2SRZlwvozapAXMAeMnHRzKO A8EyU3GViTgJz2FmEaoIZFsDh4qMMlgtQe/YrAIEEIOsgFsbl9EDxoeazKiXAaeodNzlQhQi hlnO+z1c6qwRCQ9CMG3b1KcJBlApvXh7vp2FA2eWwGTAM2UKemlmR3tWbYPY4K4WtZqcHBDj isccIufHSMFB9oOHAQIKVU3oSi53cLHBXgObPq/nMjLi8v1VHPDuBMBoOgsTYhuZsLiyOm3A BDkBZrvgPE6oB5+Gx+2DDnoZh65mFrb6eab9fbydqlrLuJ8pWAZmApNlHLrhJV2CAzwzkRZ8 Eb8uArTJDN2cgXmQb89PQJsizryC7hTfzu73mhN60cSTUhY4s3doWM/0AkNMzNyPVr2G4tAy eIlLcHrTBbaufJTifB7mpAf6B1RWu5A02tYViHgXRtC1CMHA7mEDFdWWLvOry3GzXI9EOC+5 qIWVwRkRvNiFk7LCBnxmoT2jDpFBQrgZT5tBxk0bl7vct0i7ZgoXgdQR2mDAlVowMGl9w7OD 3iyJ3Pp5nmXFjPMmR20M3G80f5Txtij1HeLSGhca7XkwLxKWA923cSBomcGs60CdozAGDA1O GGrhG6m2SdBpCzrtMjwkm15uSDVhOBlpVEyB0e1CJYmSK1Y2iZQGQ/hj9U0nAh2aMCxbsJzQ 3QzvC5tKCk6+a3YnHyq8knL04kRU0XUdMZ+ml6ClIxOCwX4By2amt1kycC0KcHwC48dzMj8/ Pz0cnw9BusPzZrt7V47iIBMMRariFJxi4iLYUR/HKn65YSqUNa3bNTPfcC/cqYBjHCo+D+P8 KvFTfNY20hVYl/YO9cSMBPGTxBP0/P1qhrhiyEdAzMXFOynJqZI0yJP2TWM2GQAjRhkAwAJO jmZknmF8WdQakDygV0rMwoHtEguIOMhlEDtoG68uY8Fi63bILMPg9dmf9Mz9b0RvatQSNLIM 14bTmIXkh3pAsFC1q7yjs9AMJJeDkogrY23veTAr4EZ09hsmsr2D4AXyUtEZZZj/rdl1sKTK sNEmo+YBO1xqDEapugpDDNZIB/6AWRHRDTsguu5jSYWZdkwEba6vLgPFu2zlNg8NlA7BqMCQ xN/oCnEDTmosdoKjgdM92iJQqhocLLz6JMzOWLCL74RT1oKM3KNWegg/VM4yHvwARgiCTIxi ECDgv5vm/OwsXpJ007x9Nwu6CHsF5M48VXhzfe7xrNM1S4VZXy8eyrbMUyZUEb1s0lqMKoAA qfmljjpj1XKnOeoq4HyFl+U8vCuK2fhWyK5unzG6j0HVcHet+297+VHubhRS8LyEUd6GFxKY sKitrRAEZnvm9BDi++pc+79EayM561THy5WoSG3oBEaOxZLhTvJs1xSp8eL9g0Y44b4HbOpu f3fj2kn3evD5j/1hAXrl9tP+8/7paOkQWvHF8xcsM/RCAZMQisv+emzrYieTBi9L2MsPRwUN 4aJICFisU2AYoBTAMqkLbZq2us4DFYxVITK2tLGKQd0KmzizsOiBAMKGrJgtfIlxrwjGmASY kX66xvRUesIJBywsH+x2JzpOO/9uBK9nmI/qWkLrFVppsfJntvngbIvGenXW3mqt0ugU0XnJ W6Uwp5n6CAByiycZJ786s8Teag3CXK7qceRLgEIxbWkbdqn8UKVtaWPYbhXWkNJe9LafucW1 25ZHBb2jVVHVjISMA7R8FJLD/HSmp8aZj6PYupFrphRPmR88DCmBYIzUePkYZLzuhBhQwLtx a22Mfz1s4xrGlqO2jJSTWRgSzSzZnZO+vLdN1vFTDBhI6xGoLdcBP6I3bePgsB4qBI7aZ4Tz iCDJcwVcFU+EuEU6sz8SkW73AGViXeWKpOOpjWER5oreGjdHimwkY96I204J/iwI/bl1c9l6 bCFZncRDhq7vTOrIDVhrI9HgMks5e+5JriYlppYdK8bn2tuscTgaAuIqszJZzL8JrsfWgHM5 IzQ5Zvnh0PlMSKrbXfg7er2siSf6EMCQX8viEyZV4Bx0BXOL7LD/7+v+6e7r4uXu9jFwGrur EoYj7OXJ5RoLfVXjClxi4GmpYQ/G2xW3IDqMrrgZCXllEv+gEx6NhgOOV+xMO2AcylbIRGfs Y8oyZTCbmTKkWA+AtTW263+wBGu01obHVFaw03N1JAHO39mP8T7E4N3qZ0f6+4udXWTPnPdj 5lx8PDz8L8jTDz5JNYlH2DuCrzuqGgecuUWdWghZfQyBf5MJbdzUUm6amQB2iBMPyIY48cB2 l0hxl4eVGmzGNTe7WeR8a80xIefzO2CssRRsEBeSVLyM2/QhKqfzKaUBS4u4CLJLvXS1jaem 1u14aYvP48FqFyYsc1XHxWcHX8J1mkVgw7VQE/57+e32sP/o+Q1++WxEbPZMyz8+7kMh2toL wQ3ANnsDCpKmUUMswBKsrGdJGDY6PG+idjZeuMteFewZj8v9pf9kl5m8vnQNi+/ARFjsj3c/ fu92oFVwYDfkEqMncf1nwUK4nydQUq7isVAHJqVnSmITjhi2OAphWzewFyFyNQgYXw6SkDoe NdQUnfAoSBZVPBcH3ns801My8+7dWTxHlDMZNa5BGpQTeYTFdEn0XGcOzB3mw9Pt4euCfX59 vB35yK3H30ZTO1oT/NCgAvMMizqkCx3ZIbKHw+c/4Dot0l58D85ZGjPjMq7Ehijr5wcxqFTw MPYJDa6KMELFwvBtnyB0iaEJTAVjgCpr/XSfULZpaJZPaXm5fpkXrJ/aRGIA4cV37M/j/unl 4dfH/bBqjpVe97d3++8X+vXLl+fDcdhinM2a+NVe2MK0b8Bii8LyfgH7QQKPzi1m1e1TZA/8 zhtFqqp7pOHBMVZUSPsUEA16FY3fICIlla6xPEOGsRIf9qHmauUqB8CRWo7Hmn2LCFPDujAl scyUs/gZYAzVuDdmK3CzDc8nQdOeUf/JeQSb31amdNxr9p8Ot4v7rrczQXyFMIPQgSfcH9yX 1doLw6y5MjU+JO3iRUMcch1Pra/x/R+KkBNQ9z4PH67hM9dJrit4YIrlaA/H/R1G3n74uP8C a0A9MAmfuWhpmENysdKwrXMEXTZwkJKuRC9mjtpd6eADoa4F/bRx5nM1LjDCeC1o1oQVgW+E +QkK09xpzBdkM89eZWXG9CYVTHaSQ/SpLm1sFkvZKfr008i7fQ9reNkk4bvMFZYJxYhz2Eas oYsUmk2W61rnKEXW45MBk77JYoXhWV26KkemFEY9bFoyCGNatKDaenjOaSkupVyNgKhlUcjw vJZ15OmchpOzlo17cxiJeIBZaDCS3NbwTxFQRLj48AzQ2QRNoFi8mbtn2K7Ks9ksuWHtAyOf FtbO6SbdlQTVnX2I5XqM8C7eJtxgOq0ZHyN4/7oBV8oVtLWc01ogAZ72HZPwaPDd92xHFzX1 W5abJoHFuYcZI5jgW+DfAaztBEdI9kkIMFqtSlCmcAxBhfm4+DrCG1gcjA6AfaziKvhsjxiR yPhd5bVqN61N10zOMBAAJ6B+TXvIKY6z3dOttrxkTKq98i2jYNp0fACunytomIGlsp4pzMQH Oe6RbfcGP7KUNrnWFqZ6yYqZdq8nbmABpz0CTsorO4nflmAGYPuA0xt1pu+oE+yYLCfbaRfO DRhq7eHaSrqJXJw+zRwzskRG8YtyAqlUYiYZhTYWvIaHNuw9wpBGo4Fhx8cKzmuXk2YUy88H OIBqTAugxMfHJorFYrYW0qUBY9MMqrDHWmcL8iQqHMNe70N2k9Wuk2zGfykC7jjm7GC/wahN PQCWJmiet3mdiwmAjJTB1SUKOjwaj3jnQExBg0A2IPZN97EDtdn6bDMLGnd3Gx/tHgP13RVW 4tdlYJx0bfb5z5yFYilUcL4Xb7s8L2xHTPODKgpUeT8OykH/0YeeWmVUrn/49fZl/3Hxu3tO 8uXwfP/QxmkHzwTQ2l06VXlh0TozapR/PTVS7zqDIYffKwCbktLrN5/+9a/wwx744RWH4+v1 oLFdFV18eXz99PD0Eq6iw2ywhK3EL5uAoKjicS4PG6+SE8JRPyAYbvzw4y/s3W4VCtgIn3v5 4si+idL4AmgoJWnvv3/KLfvZYJZ1nOK5ccSpS4SPpUnbtQf6lFvNEHeW2u5a0f5bLTOvtDrM mVhMC8bbDA5YfDC4awLmCAyfNit8Mza7TO2eeo8zp0kRZOvwDaemGnORH7BaOoTg685EB+lq r7ngSXSOw7tQw3I1F0HtsPCxQDxKaR9At9UOVkPHs0CItkliLoYbAqsuMj1eA26grMg0Il7d Ho4PyJYL8/XLPrg6fSFBn7GP7b5OpfZqDgLv3W8ewoGjEf3piw8YSgtPxVYUuE+0yOFhuuc1 QicuXTVOCpqofR0xBa52SZjW6gBJ9iF6x8Pxesmny3Mvxle6lz0ViAy8TCB8g2+rtHCrIh38 FCzadwNMxeY6+8Cw96gCwUXQlPA+U2OFj5s6HLLcBBlXtdFMzAHtaDOwXkXZ7/qkFs1Wiwwo 85BxZ7WJd520D6q7e+nZJCzDf9CwD79BM9TauBDbn/u71+MtRnPwe2MLW0R69Bgs4WUmDBpY HnsXWRiTsEOi59Dn29Aga7/+4HG0o6Wp4n6pYtssuF+EjiT70rEu/jQzWbsSsf/8fPi6EEOo fRJiOVnS2NVKClLWJIxy9IWSDhaLrrrOIbXGlvK7fv6Ho3pyLnwytoWZsIK77T3xqDP8wk5e BwQLMAYrY3vZwvHLwFwcmZWR7yklYCz5jj9GzRojm8SPJwhR+x7qEEjTsSrZjhGsCe0+xZOq 68uz/7uK39H5d0IhZEZVTp2QeKoU3DNXrBkFZ+BFGQwnzZTjxXMXN9WoPm+AJHVc393o6Tvn zgxrwzY2aNoFrQLJnXavfTEitBp9ScevHbePHfBjOHF7r65ATJR0KUZP0sZSpTLMOWYkMHDn L1xHofRrGfCLFjBXFQTz9Cpxj+90a+rbq1zuj388H37H9PTkDgM7r8JvgLiWJuUkVntdl9zz UvAXyJ+g2Nq2jXsPrFVEi0Uy/8sG+AsswVyOmtpvNgwpJWyMFqeHKPr/KXuy5cZxXX8lNQ+3 ZqrO1LHl2LFv1TzIFGWxoy2ivKRfVJl0zkzqZJlK3Gf5+0uQkkxSgNT3oRcTIMUVBEAs+20D no6MeJAGHHOKxxpBbcftNzLQ2yJjE86yidLEn3DjbanS3pJRe4u4vAVoSbbAwPLh/vPahScK Y/nntG5cUAxGWCcITHHg28I291WQMi/9302UsGGhtuUdlFZh5Zw0vWVLgVMDA9zBxcezPeYR aDCaep/nju28GrkZgh+DqYd4k5nZs9HPFz6ppchk1hzm7uBMoeUHpTgF9fniVriilenyocbt DQAaF/sx2GXA+LaDzdWEuNGDhnGJT7cwXYMLjdizl4l2KxGEoWYlqM13/Ua2K/bArcBodA9m +61rjNdDjkrCOhaEUUaPlaj/TWDIaZT7bYrfTD3Kge9CQsrsUPLDOBwMzGHfjWOlE309cMIu pse458T26DFEqrj/QkyMJ2KTE8cigub3q7/F7Eg61maw+B2g8gbpgbvmf/vp8fvvz48/2bsq i5bSMaMoDyuXGhxWLcUFXRkeu0ojmZBHcAE0EaoigcOxUmfRFqugRJ1A/wzpQnhy8bUtHtbw fLp9ykSJG3ZpqCB2sQZ6NMkGSVEPpkiVNSvUO12D80gJG5rDru9LPqhtKMnIOGhK7CHqpaLh ku9WTXqc+p5GU3waGlGS196zjCqBMMnwYgGsncuClXUJYZulFPG9R/l1pTK513pldW9nJR6l UaH2jyB2/TaUB6YwaUNRfzwBb6dkt/PTxyBc9aChAbd4AcGghRvmwwNBdEALDFGq8lwzzE6p jjdoruFXazAGoJqK+AGbAas5ZJptqHEOcGbKBuulw65yByu2mRUHIipGtq26r73t0IBz7hCE 135tzTCyxN0c79K94mIwfZxqJLf95czvwUCgzAzBLfM7BGVZKO/23Le5V0CSHbp0+NSzmHon nrQS4fPq8f319+e3p29Xr++g6PrEduEJvqyW99Wten74+OPpTNWow2rHaz3D2CkcIMJmfUUR YBZfsTW4VM4hFhzGFaHIsTkYoy1WnDQTxNCtlcEH0eL90FSoWzCTg5V6fTg//jmyQDXEu46i SpNzvBMGCSMDQywjfY2iXIyjO+PQMfLm8POSMC5SoMPwyUqU//sDVDMG9qIK9YVx7R0QWWgJ GSA4767OkKJTp/tRlAgCNnhwl16C+PTqlenu2IUVB6uXrpuXkSuQKBFJUJX7T+6mtN+rXxxz VAM0xwbDxzarQcjCfJf6shf0ODziKvKRhWlX7l+rsbXD1wjnkJw1IlHaNcLc+52pXw0uQV1o TciKWpCVmSo4AlDHd/JsEYZLthpdsxW1AKvxFRibYPRsrMjrcluJiFAbbkszHurURowQNeCw sxqHVURgXcVZEvbONW6xmAbEF4YjagHGGAdkYxn64n9EWGgf0jBv1rNgfoeCI84om8k0ZbjP QViHKREMK1jiTYUl/hBZJgX1+VVaHEsinpDgnMOYlihVgyur9evXp/Xu+9P3p+e3P/7evox5 RgMtfsO2+BR18KTGx9DDYyL4VIcAAV5GEbR8Mt6JiniJ7eADw/cBfLz9mt/hAk2PsMWF18ss 0opLgKsbebz9cHKadlOTEElfNz5AUf9y/Fj2jVQ43egX626yo/J2O4nDkuIWp14dxt3EkjHf nXuAEd/9ABILJ/ox0Y0kGV/YUow334qN422khI9uv2hD73dz1F8ePj+f//H8OJRalVg90KWq IrBqEfR5BoyaiTzipC+LxtGKBII3a1Hi4yh4v8CpcP8FeaA13R0CwXl0PVCkdhRhGOR+OF0l vfzdN4ibuEPR3Akef1mrmDXcVYvwnqlXkoGd8ckCMkK1ZaHk23tC3WMhjS1EiwJxy6Zwan7C LzwLR5SEDKfnKXRD4mvVPNjdgvBDjwJQwFZxFCET1RhxBRQZZiWhTu5QvO4P4Dnh9tyPBNKm jXdCjCyqRrjdTjbC5J6+AvRslMRzSIdwoAIedghjp6LtJuUB2k9mPD7ZRgnpPwoOB0vtKE3a RVw4GnGGhcyOcjATlQVkPHOMtRSHG2qLK7QHRcnzgzyKmnCaPRgZipxprbIiH3pH1ygnQr8m cuRu1z31FIgORroAaRS0CmNYOZOY6ruyg6hVsU6K44TUc5OPtPkstAqYYiUsHKMixvTnAK0g OYu8b9zo/Ns75/ENAtl/EdRuATLeJthzX/2vzk+fZ4SzLm/rHacPSVQVZZMVufBifvSy4qB5 D2BbG1zkpKwKIx1NsTUYfPzn0/mqevj2/A7mvOf3x/cXx24wpCQXRhzwLeG7p4TeU0UJgnFz yzCjG3h1r/aOwH4UFU8dLTqLdyDyzB3Sn+oi7UsIdlH4ENqKsFt5Cl6FOmmj4rcw5WuPDeam qhM6eYMOxrWLtsPeaMO3zi4dULRXGYLXvaJ52/sCpuLn9CisikIsNlCPcPRu1o5ChKybOK/E GL4zBFAxMH6SteO2YEN7O6kfwfrtp9fnt8/zx9NL8+fZSh/Zo2YcjZzdw1MeuabUHQBNLYe0 Lju7I8rsyG1Ru9mPdUgxXDB5iU74pEPEzy5tHYUqxUhffCtswmN+d4NzC0Ve7gdczoYw8AoF kQyIl0lD2UDnMX5KywkGh7qPsefA7uIE31OwXrsMcwcxfXnqih5gK1cc0CAIxuOlpc0dXYue /vX8aDuTO8jCVRJxz4ffxnUMmP0fbW5FN5wAh1No7Awvt2rr4gp1AAX5GhSHLvfQFiHRXh2U hrMKe0fV1WWZDZqUXSi3kUpYso8ehoaKIdCALv0QMh7Dxx5nmXG/O01E3CimAqFf1MDtEf8O JM50V5nKpAkw7couvW6NxcJjJvYl8W2weIXLrY3r5LcrCpyr0vuqwm2cNCzEWR/9Sc8F8rJV qR2sbXBxlYeNJrb47Ns4OnDIFBKDcBRTSDJxd4Jhb1TFx/e388f7C6S/u4QGMhzOw7cnCC+s sJ4sNEhH2YVguLyFTeG2ZOfz+Y+3I3jyw6f1A5q0GnN27lGnPdC+UuTCqQuKCF0w+qneOwMf fz83/O3bX+/Pb37nIBCAdvBFv+xU7Jv6/Pfz+fFPfLbd3X9sBYma41mRxlu7bF0W2onbSpYx Efq/tTdVw4TNd6lqhjy3ff/18eHj29XvH8/f/rDfY+8hDvulmv7ZFIFfUglWJH5hLfwSnnOQ R/kA0wSedg56tLoJNuiWEOtgtgnQgwzDAlfb3gS/r1SFpYhcAekSz+H5sb0krworjFFbc288 DxOelujVq9jmOitja3K7EiW47G33cZNcI3U8gcvKNN8HctH5wH/zA8K8vKuj93FZl/g4jC1y Ugxc346Th7zHNi7hw6EgmLgTmx+qo+1X1wewfj9qpzDH0aOfF+Ado0rgPEwL5ofKtV415Tp4 qqmrJAnwXUYHoNFC7THTIuvoDcjn+lRIkIRoXxdEKmwAH/Yp5P7ZilTUwhbDlEjjuHKY340I nKQCofGOjiCtaexyNwCMec4M940HmyK2aB9h6ptm85zQW3Zxf+QLxX667uY6BecwedsuJ/Ts WY3roooYmV8/wqvx0vels7YIO8221bc2+W5FDy2tXEiXJa9fkN14tK2noqPGaJ0X872SJrbE e2WHhObkY1FVZFiTcLFJGanZEuUiOOEPAB3yHo9G34HToigH49Cl2vvGuGSvh83qsPEF4I1+ Paq2tOemnp4JuDzhofg6eBXi7I+ePFD+sOhARDGFiwbOLyeS3fafmOhiJd0lMFqpQ8YxpqQf N8BREU8BGl807FROdqPGe+3589E5n93gomWwPCm+vcC5HkU5s3tgt/ELcJspEkdw9UmY11T6 wR0wzwx/bqpFnGmqjX+Syc0ikNdE+DVFwdJCQjowiGkpGGE8myjSmOJKyrCM5GY9C0LKw0Cm wWY2W4wAAzzQHASCLCrZ1AppSUTM73C2yfzmZhxFd3Qzw091krHVYom/A0VyvlrjoBLeLpM9 roiQ1BmyeVQ6XNgJEjyeGhnFPqfZNXMow1zgMBb4xNm4l3J1c2SOhNBtBA1RhzfAd1kLHwbX 8jGy8LRa3+BK1xZls2An/OGyRRBR3aw3ScklvlotGufz2ewaPdHeQK2J2d7MZ4Pj0oZB+8/D 55UAhd73V53HtA2Ref54ePuEdq5ent+err4p2vD8F/zXjZH2/6493KOpkAtgQvCTBiZPOglJ Sdimm6R3RETnHtoQFPKCUJ+mMJKIsLA6GGb4kLlCr7G/ezs/vVxlasv+z9XH08vDWc3OZSt6 KMAJRV0kOpMmnokYKT6oq9IpvfRFXbZKVhrpR/L+efaauwAZCFZIF0j897/6HA/yrEZn+2L+ zAqZ/WKp9Pq+R4Nwe2PzZB0CluAUGRy31WZhEHiKUD1olKqWpx/A2EucvCXhNszDJhToAXQu UEcnKVyDcRENTyKExWgrWxukOysQMyMrIldIFJGO142nLrRVYrq6myETSjRHHffMqe5B+2mT sONndXD/+ber88NfT3+7YtGvirz8Yrnld2yVGzc6qUwpHSJDAashnygr8MyKnOhUXVs79AsM e2fQI2NaqvYkBQ1Ji92OejfQCDq0qJbJ8CWqO9L26S2PhNDysByDb8ZsuE4uhtB/TyBJSAww jZKKrSQc7QxOVWLNtHvYH+Ng+o46iyvdfJTQ7Xrbuxe+bK1NmwAa/GpNjEIX1MpKl29C4dey QAPOamCZ9SFrmaUF/Pfz+U+F//arjOOrt4ezIkhXz10MUWtp9UcT+xlBF2XFFgIupVpprg31 Z16noFKfJhWfL0ATip2ZrwL80jcNaUURNEfjSJEGmP2ohsVxf8TVWB/9SXj8/nl+f72KILSA NQGWdkvt34gIPKC/ficHL95O505U17aZoUqmc6oE76FGs7L8wKoK7VPvfig64lyEWTFcEa9h hOOp2T+K6gmJMwfd3I8BiaOogQfcVE0D9+nIeh/EyHIchGKw5fCKKScn2NJ0wMZLMaMPA3Jz 35myqiYkeAOu1ZKNwsv16gY/BxqBZdHqegwul0tCrOrhiyk4zsRf4DgPb+D3dCAtjcDjED8l GpqU9WI10jzAx6YH4KcAt/C4IOAyqYaLeh3Mp+AjHfiiMyCOdCALK3V14IdFI+S8ZuMIIv8S EqaLBkGub67nS2rbFmnkEw5TXtaConAaQdHAYBaMTT9QSdU8jQBWPPJ+ZHtUESHzalLB5gGa Jq+FJoMx6byEFTjUjnxT0a7VeuRMUORLA8dScBqESsQpYVRcjpExDTyKfFvkQx/eUhS/vr+9 /NcnZQP6pQnGzGf3nR2J7gaziUZmBbbLyE7Q71gj6/wVMgoOhtVpzv/x8PLy+8PjP6/+fvXy 9MfD43/RZ7mOFyIu1ktuZ7cKmRTXjqzaceR2WRbpdwcT3tcx34kaCIRGUDYFBTkFn8sWSCTS boGjVa+XRHLv6BK3hULQxhJEsMBBeCZvZqKsC/09nLXI0bNHiOGGDdyDyZUoCTtlhaCV4xRQ 5mEpE0ovmzU67q5iYA4CghtRcg98hYxHpYA6xt0oBq8wc5wo0zbYhfeIpH39+pREVJOwvHib X3lVeC2OL7ZegzTE1xqAe0IdGUGoJMLwGtZOv0ZR0DgNKTtmBVWkmQpVCetKWxi386fXBKfN UTYRC7P3DCf05/FeeukXjNaHc341X2yur36Onz+ejurPL5haNRYVB5NPvO0W2OSF9HrXaYLG PmMZ76kxFpDbVT+c2jHiQgaJd7NCbbFtbR1QE0oB9P0WshAOQpfo4EIK1A1Enht4+MCVtXc6 4cOIjwhhsCdGXN5qTujW1YhJ431RkqDDiYLA7UE8We8IP0/VB8mJ2CDqf7Kww6GrMtdsWxtX q5IuU0nqPjzXREIoVd4c9KrpZBiEoeOBepTL04xK1Ff5nqRmg4Nx5kW37RknRc+f54/n37+D 6lIaa5jQCkTsXOOdSdAPVunNJiBlZO6HtDNqs2bBCs9yUNvTLNjyBn/fuCCsceOVQ1HVBPtW 35dJgSa2tnoURmFZczdTpCnSyZVjj0ggDey4exx5PV/MqUBnXaU0ZPrGcnhimQpWSCJEx6Vq zQsvGymn3pvat4laTg0iC7+6jfI87Jdyqq4jZ6uf6/l8Tj4zl7BtKfnIrHaeMerYQwKq0w61 P7G7pGhbXtuGWzbQCaRilcNoC0c1GtYp5ZKd4iwhAPAjDhBqkaZ2y14xKI41lylp8u16jUpc VuVtVYSRd+y21/hp27IM6CqqFs9PgaPh9rZcd+bErsitmP3md5McvZyc0ByhT9QZiv1nUrvi xH5UA2Ze9JttjvF+Vh2o4KWxVLcFZk/rVDqIfYbuJcWHplI4LGBb1NT4xunBuHajB+MLdwEf MNMhu2dCssI96OhC2lUg703u7D92ahS3TfCVkxQj4t4JrPep8CzbgvmMUKRpZPzL/PqEK8da Ob1ZXxOZ6LPNfIYfdfW1ZbAiFASGXp1ExQrM6sgesx8mKkoD3EhK7vOIMFi32lPsY8odvcCW B5Mzz7+yxIkZdQHF+y+ilnvkdo6zw5f5eoJGmSR1jtUbmvTVqpI4S56U8ylSluzDI3cNyMXk 7hXrYHk6oUPW7+aWwafqgPvL/8n934qwuQ94Yoczx6r8QEQhPFFV/HvOhVDNXc+ISgpA1SFE 3Dibz/A9Knb4VfYlm1jzVr/qENpDFhGelvIWjcsib++duwh+k74n9sfVl8O8cE5Nlp6uG8Jh UsGWtAiqoPI4Co4xZxC7P4JVbiTWW7leX+N0CEDLuWoW1z3fyq+q6sBwAP9o0VKBvraalpvr xcQR1zUlzwR6mLL7yjma8Hs+IyIFxTxM84nP5WHdfuwiDZkiXFKS68U6mKAgEIak8jIcyoDY fYcTuvvc5qoiLzIv1B4RZK6v5Y5JKIYWItjnSpLITPaZKTK+XmxmCKEOT1TN4NZ3vWmrlL4Q iXT3ICKbldZZYSJeJ+g2KG69zyQNRcZUE2hod6u1Nmg5z3cid43Yk1DnVkUbvudgNh+LCdHv Li12rv75Lg0XJ8LA+C71WV4LRGxz9bETzxuyHpouxe7hHuyFMod3v2NgYucFOe2hVTa5nlXk OnKsZtcTp6biIEc63Mt6vtgwbJ8DoC4KH1cVNSVxzjo4eLI09VFIKoRYh7ieE54sgKDThFUn k7EV6WC1nq826Nat1MGTocRhEDOhQkEyzBTL5pj/SLigfQkYqcntBIs2oEjDKlZ/HMIiCYWc KofEwmxK1SGFIvOu5c8mmC3mU7VcayEhN0QGagWabya2kswkQ8iQzNhmzjb4zcdLwebUN1V7 mznx5KuB11N3giyYuhH4CddYyVpfe84U1JlW4E4u7z53KVZZ3mc8JCwx1BYiImQxiDGRE7ee wPzG7U7c50Up710HoCNrTumODJTc1a15sq8dcm5KJmq5NcDTUvFJEDBZEkZZtaftGbZ5EI74 qX42FSTWxu9tAeZZqVrWGntGtJo9iq+5myXDlDTHJbXheoTFlLRiDMXtxlvT8fAkaALe4qSp muvJBTKCJ3KeABCUmCYxjiJnfSIeExeevI1xMVvxjoR/rY7nsvWfjjuGUHH5jXndsN9sRZc/ 58I56jIGD4+CmiaDI+ptSAVYAAR1/iGwhMBkc7UhU+Gksk95BOYAux04uSXDVNWqoSsob00E kSdv0E56NS+wVidJI5zW65vNaksj1OvZ4kSC1YzdKOZlDL6+GYO3ikISgQkWRnT/WzURCY9C tfQjzUclMPDBKLxm6/l8vIXr9Th8dUPCY52JmIIKVqZ7SYO1Ef7pGN6TKKkU8Dowm88ZjXOq SVgrPE/CldhF42iZcxSspcMfwKjplehFRRIj17m1Qron+Ul94Uuo7nZ6y95hn+j4PMO0AtRh dw2TRzYJjN7o+IGpoIE1n88IC0J4iVEEUjD6461VJAlvL4edokRBBX/jWskS74D09KZt8V5u 29BQ3St1XwNALKxxEgzA2/BIvfMAuIR8KnvcBADgVZ2u54QL2QVO6GUVHNQWa+L6Arj6kxPh bgGcSFwgAZgoE5zBOxom2vp1eUrMPClJlayDOcZgO/Vq5xVQ/Ryxx1HQJa6T0xDScURBN2S9 zS2k2CGYzyrdzAkfPlV1dYvzdGG1XAb4W8ZRpKuAMJpSLVI6xyPLF6sTpjRyJzNzVWq6gPjW zYotZwNXGqRV/BENH54qH3HH21YskxRXA8AY5/rs3gzecEJREV6gAuIeYXyg3V6nB7/cZeUx oBhggAUU7Jheb1b4E4yCLTbXJOwoYkyu8LtZKSHWEaoK8LvD2VReZYT5Ubm8btOZ4OBKyAyN dW13B1FlK4aSVzXh2dIBtcUbhJXAb06YCMKgITumaywFodMrHonQI0OZ2uizOZ6QDGD/mY3B CPU2wIIxGN3mbEHXmy8xnas9wir0n9KqOjihIodTbajE0tcLYVpsYDcYY1GnOtyLHDS1CYiH lBZKeGi0UCKcIEBvgkU4CiU0rGYQaz763RGourxGvgvjxRcZoEoUoYDH9XpqsaQjpKqfzQa1 qbErSTdM4ZGwRreruLqKYzoPlvjzPIAIRkOBKB7k/yi7lua4bWX9V1RncStZ5GbIeZCz8IIP zAw8BEkTnJc2LMVSYtWxrZQsVyX//naDT5BoUHfhx6A/AiAAAg2g++tLMr4eMtTh/hYHE63r Pobam6uCIscpTHdLw2zVdpOl+r39pzLF9WVCFzc+PyiCGxEQswHAZL4m6tezPV4kN09yrcpZ YIAxVWtCHS7Karww1A7z31V448szMh/+MqUm/fXu7QXQT3dvX1qUYbt+ocoVeJFiXt2ba/KK WFlqA07qvZVVpYF0sF8IZWw8CTtrmgf8rPIRx0rj9Pz3zzfSQ7fleBz+HLFB1mm7HUYT1ulQ awkaQNbEL1pyHav5OI7Aq2QiKAt+PY5CL6nqnn48vX59+P7Y+/Rp3dM8j0ayFPFvDfmY3cwB yGoxO4+4atrkkY49aEKK6bF+8shuYVbzhHV5tmmg8+frtW9mcRmBtoYq95DyGJpL+FQ6C2LT pGEIpX2AcZ3NDCZu2KCLjW9W3TpkcjwSxDEdpIyCzcoxu0MMQf7KmWm/RPhLYnehYZYzGJgY vOXafJnUg4ipsAfkBUzJdkzKLiWhbnYYZO7GBWOmuObCaQZUZpfgQjgU9KhTOt9rwq3K7BQd KFeBDnktR5lNP+TByS/+rHLpGpKqIBnSdvfp4S02JeNFLvyb5yahvKVBjscuVmElhR7GvYM0 PpPGcvmOhVl2NMlUtCTFJaOp4p2cJbg+Ex4Ugwoy3Jxx4hS8L011kJFGvAftsgh14GFQh0FB YnwMr0SSFZy4sqoBQZ4nTBVvAYWRWG8JE+8aEd2C3OyQVsuxuUgKlhpylqBzBrZM+t6259Tj zEcD3bKDcWO1LUWbVgVpAKPSWEaPWZo/vR4Qmw9zOkCUhYX5hTvIfkfYGfaIgrCn1BAVEQGi B514kjBBeHp1MLWLp+JidCjJY3bBcC9mPanDlYLwSO3LU/YqdswlKApO0AN0IBHslf3YTMXR YSwrzCZ9OioMCFuuHlbydD/bBBceww876P7A0sNpZqgEEnR68zrWYVDXOs0NhWtOxD/uEPnV yC5df1gqmp42bdYpat8ADRcRuQ9RPIfN/hxqX0ZEmO0ecwjSC3XJOIAdQ/gxB7Kdhzewer6F ERllwnQC1bQQzrcyKhgbnEUPEtGhMmdFOYpbP0QEsed7Zs1Hg+HxaSWIGDpDZHhynQXhnD/B EQY8QxzewmQpq3iU+uuFWfvU8LeylDltkDnFrt4HjnE1IA5Yh7hDIHJ5oLwKh0jGCOdsDbQP EmT7pxdgDX2NlgviWHaIa/av8y8DEzAjLrIGMJ5w6E3CUH+Akxt58zbmuWWI25/S+3e037Hc uY7rzQOp+VoHzfet+h6ri78gDj2mWErDGCJh++E4/juyhC3I+j29K4R0HIKPcghjyS6QGGf+ HVhat9MGQsquhH2fltvRc8z3edrsxVJF9TzfdTEGy15fF+ZN5RCq/l8gfe77oBc+P3Jyfo24 eXnWBkRcKsuL9wwJdeWaiTyTnAiRNqkpLylOFA0qIzWXzPcRIN0JgSOJm/8IJU8YtWIPYaXj En6BOkzsiOBVGuzqb9bveIdcbtYLgjRlCLxn5cYljhyGuCI7iGaJmwfzT3JtvNFsdsxcN5as U2HhdgjXqBoQioC6VG9OvpbXBdSxpA4kmtKlqM4c9hcUcVZzJBjJ/GgDCBH4K2t9YOeXEne0 NQBtgosMVIcyJdhs63zKBGa1WRBXfOclM4+17ogPdPS0QdqA1/IjQavfnJheWCECax43pq60 LIhIOAtbKSf1j7WXdj7lY90Oq2uytI4rLiTkY1Yd2moGpBLS5BEz6O0YbVFi2ADZxk1cnN3N Zo12s7gVn0V6VmQh+FTdUye+h4fXR8W9z3/P7sasiThh9hq2gYJ9hFA/K+4vVu44Ef4ek7XX gqj03cgjDCJqSB7h+ZZhoqjFCQ/rg7TRY5OA4Jq0cQ4fZTwuWbpiFOF1nE0RkXmc6BVnHwg2 9fJtSAdMfdLTsBouOep7gy8Prw+fMcJ5TxHezrrlre+P8+AWJKqJH/C4LpWJMkqTQ2QLMKXB KAYduZccLkZ0n1yFXFF19OJTyq9bv8pL3UK7NiBRyUSnwx6xjsuRxqObCOWqUJIO1NEtSoKY OGMW2TWozUESotsUAuM9l5TP3i2NyNmsFRIHCK0YNuZGeZrdZ4T7F5eESXJ1iBMirnC1J0jf VewI0FuIt1AxDkqjcXkSK5bfE8YKCAZn1TE7C6azLrHzcRSroKaYfHp9fvg6uK7UO50FRXKL slSfXUDgu+uFMRFKygv01maxYgXTBvgQVweI0L7uVrTDMWEyPRmCJmNfq4RG7TssVeMtHQjY NSio+hhNmoaAtKhOMEYlBik2iAvYXHDBGszKXHzJ0pjF5sqJIMW4nkVJtKUKUIIBB6guQY4y Wl7oseS0R+kpvXu6dH2jv/YQlOSSqLvgMVU4fv2TEZu+fP8NpZCihq4injGQLjUZYZsno82N jmgIjqaJgyE2zvUj8Sk3YhlFKWGX2yGcDZce5QxRg2DQhKyIA4LGp0E1C+vHMtjjy74DOgdD N8rZrArCPawWFzm9zIN4JxMYEtMyWm5kfVaaPI6sciFxsslzwfEYNU7MoRYvoKeksW5c2SVi k6MOYQ7r0sNGvvy9IBhSBPbJe5bFzCQ4a7Qx5yLQ6oW3XTyi4oFk6S2fGqs0ZIufDdrJdOUj 1Fc0OMOgzytKve4BBMUFbDldSr3P2/C3xr4n6z/QCi50KEbfW27+qfaU92cK6yUpBAWWjm91 yPVLAvyNu03CHDRI99GB4YUJjijzuh/Bn5zQCVgSYSBFQ0Vg8I81+ytPktvkg2jD/llash31 xQmDmOanyWjCQ6Spac8wQBZybmIKrPYF2/OhroCp6q6ep7tMT1bxF7V3UKmwjpHGNyAXJ+Px BUjqoGhKFdILGl20Y1KQ7LOwj7OKr9jtADCGxCgaRR7dQSaQ/gXjRNiDA9bZc4eiTe7kGyIU TisnaImVXMQewfLZiJERyyavRG7a3aEU9pLOuFe4JE5ka6EgTgJAiGSyxCkASFN1V0qci6Bc UQHA50ocAmDvcrleb+m2BvmGYLhuxFuCbAfFFBlvIxvd0qhxoBhoiYEhI2EIh4If2L8/3p6+ 3f2BYd/qR+9++QaD7eu/d0/f/nh6fHx6vPu9Qf0G6s/nL89//zrOHTZZfJ+quCtWjv0xlvDg QBjbuwu6c5lgZ7rzMtq0SI2MKJivpuRiEmBzIK79kyYtyv6Bue47qA+A+b3+ch8eH/5+o7/Y mGdo73EiDsxVfetAd1VCHukjqsjCrNyd7u+rTBJRqxFWBpmsYItGAzjo+yNjEFXp7O0LvEb/ YoMho63v0T/uYlGNOMX6Mw1qxhs1f0nEtFLChFqD6wGGwf7oeGQdBOfiGQi1rg2XpsFzS0Iv JZyIZU5s8Q/SSJKtR7iHn1PvqXrVyOXd56/PdQwoQ/hceBBUMCRgOdIawgCltvpzoLFm09Xk L6TSfnh7eZ2ubmUO9Xz5/N/pMg+iyln7fqU0kXa5bIyha4fmO7SnTVmJpOrK6R7fRZaByJEi dmAV/fD4+Iy20vBZqtJ+/K/WGlpJuP8wq4aTug6y4GlUFuZjfWwWKlD8xbxS1nG/gzNhlq6k FOdHFzM8TzRn0GE6Hbx8CJoQGeboEY0IQmmUpUWM2hV6m6M58IK4HQ+DEraIUD3peoSvigZ5 Ry7mNaKFyJDYgjSVpeTt8+En16NIdFoMXnx71E5lBDLXtq0NgPwtEcawxSS57xHGAi0EKr0C Hc/+4iJcrszZtFXeB6c9q5Iycrcrk9vnZPiohHZyPvCpjXxah/0xLSltAEXQnE/7U2HWySYo c1N1sNhbEQYEGsRsn91DhLMgLKJ1jFlR1DFmzVrHmC/HNMxytj5bl9o7d5iSjLqgY+bKAsyG Oo8ZYOZiZyrMTBvKyNvM9MXRR8pVO8RZzGJ2gXDWB8t818f8zBMmBXVe1VY8JFl/OkjOiLAE HaS85vaXj+VmJtIpRhqdacEYeRekoM4gaxBfH2GzR0QlbdvQc/zF2qypDjG+uyMixHWg9dJb E5GdWgzsI4W9/XalLNmpDCgm/xa3T9aOT57Bdhh3MYfxNgsiblSPsH85B37YOMQes++K9czY QlV5dsTz0jcvCC3gY0SsXy0APpbCcWcGoIpeQnDMdRi16NjnAoXZzpRVRrAS2kc7YlxntqyV 69pfXmHm67xyCTclHWOvM2oTmwXhnK6BHPtiojAb+wKImK19ZGBA3rlZRWGWs9XZbGYGmcLM hGpWmPk6Lx1vZgCJKF/OLf5lRBlndV0qiAO5HuDNAmZGlvDsrwsAezcngtDIB4C5ShJ+dQPA XCXnPmhB8OoNAHOV3K7d5Vx/AWY1M20ojP196/sC+xshZkUo9C0mLaMKCf0FpwM/ttCohO/Z 3gSI8WbGE2Bgh2Zva8RsCdvKDpMrJq+ZJtj56y2xUxbUTVz7tDyUMx8oIJb/zCGimTwsR8Gd 3iSY4y3tXclE5KyILd4A4zrzmM2F8qrvKi1ktPLE+0AzH1YNC5czsyooYevNzHBWGCKyY4cp S+nNrNygom5m1sAgjhzXj/3ZPZ50FjM6AGA8353JB3rFnxmNPA1cwv5xCJn5ZgCydGcXJsJI sgMcRDSzkpYip4IJaBD7aFUQe9MBZDUznBEy88pIlxnlp1ldF3Abf2PXzc+l487sfc+l785s xS/+0vOW9u0NYnzHvndBzPY9GPcdGHtvKYj9YwBI4vlrwnZdR22o8N89CmaMg32bWIOYjrLe iXXfJN4gv2MbXx4Xjn4c0iDUyhto3EhNEkZVKrkc2+mOQEywYs9SNIHEWmS7XR0erxLyw2IM bg/VRskYfg596pDTc+hN3spjpsIrVvsMI8GzHK3MmanGQ+Au4EVt3GVsGdMjaANb0XEETY80 Z91JkkWk9X37HF0rA9D6nghAPtVqTKpqwPUvReX0/3kHDGaiTG8nI5V/f3v6ivcVr980o8gu i5p2UxUWJYE+hTWQq7+p8iMexou8G5nfxlnILKriUrYA8zcD0OVqcZ2pEEJM+XTXJta8Ju8W HayZmZuoowQKyugQZxo9eZtGXwd2iDS7BLfsZLpU6TC1aVcVZhky9eMnN7C46lBIbqEuoyC3 YSD6DiBvcicnzX55ePv85fHlr7v89ent+dvTy8+3u/0LvOL3lz6sXQea8Lb0c1a2K7uyzO8c ByW6ahmFDfOmNYN7zgv0CrCCmkhTdlB8sctxr768zlQniD6dMIol9UpBfK4ZKGhEwgUazlgB HmiBJICFURUt/RUJUMedPl1JmSMTd0X5aUvIf8fLPHLtbcFORWZ9VR56UAwtFYE0T2GXYAfT HPngZrlYMBnSALbBfqSk8N4Woe857s4qJ4WH3N5gdSxv8nG1A3eWpDw9k122WVheGPoTlBa6 XJB77oqWgx5Lj1bF3AsbqaXjWGoAoKUXepa2Kz8JXFIoMerTlKzV22wA3/Os8q1NjkFR7m3N V7H8Cp+kvfdTvkWmcbJ3eeQtHH8sb2zz+G9/PPx4euwn5ejh9VGPDB7xPJqZi8uRGVRNGCbD 2cwBY868bQPkYcik5OHIjtzI9BJGIjDCUTCpn/j59e35z5/fP6NhhYUnXuziKpJryiYRxYFc esROKhc8qhnEiGsDfF4x7iyIHbECxNu154iL2bZTVeGauwvaa1m9RIF2U7RcwGpHENSot4gD HGjk4yheu9YaKAjdjCgmros6sXln14gpT1olTlI6axE5GEuIrPyhRBs2ySO6+Fr/+3QKiqOy viLNpJM8qjhhEooyyly0LwS9QdS27z04ykIRYR+D9L6KREaFdEPMERTxxLzlRrHv58Inbud6 Od3nSr4hSCnqUXl1Vmvi8L8BeN6G2PJ3AJ8ggG4A/pbwje/khPVDJyfODXu5+XhIycsNdeyo xCzduU5I3MAj4sxzVihTcRJSsJLg+AVhHu3W8GnRLVTE0dIlAvcoeble2B6P1uWaOLRHuWSR JTYfAvjK21xnMIIkOUXp8ebDOKKnANQlzHpzeF0vFjNl32RE+OejuORVIJbL9RVpGAKCBAuB Sb7cWgYq2kYRbJVNMYmw9HKQCILuGpkVnAVhUmWlXVDlKoBvPvDuAcTVV1tzeDfL6qKy8Alr 8w6wdewLEIBgsiJONMtLslosLT0NAIy/Zh8KSD7sLe2YRCzXls+l1lnpr/3qWxbRoOD3WRpY m+Ei/JVlzgbx0rHrEghZL+Yg2+3ofL45BbGqXn0uBdvjURNxHlXY5gwkVldmoCPPaqXY7V8f /v7y/PnH1GY32GtetfATt83maQFlBDOUkgkTu2Yj2awGHkCQNCH1x8TagYMsQHLzt6xkaFFM iynPDJSx3Y5HzBiertYq9uXAI/+8D2DEhZMEXPPQ9UR+cDaD3RYI5QU2yhi8PTOUEBeDEN3w A1mPeBXrBOOYHkMznq5WjycFU7aahKVXD5As2aH1r7lG1VHIxkNKrxym70KjaBeik2V3VGoS Iq+0OnH94CwWeq3QHb2CIRxXGHoAHU3oF8irSNfpO7+Yp++fXx6fXu9eXu++PH39G/6Hni/a 3gZzqD3HvAVBy9RCJE+cjfm6rYWoKECghm998zQ9wY3V9YFrAlX5+ni3EJpfZntSO0jWSy1g a0OszyiGL3Jv8N4DFfvul+Dn4/PLXfSSv75Avj9eXn+FH9//fP7r5+sDTl9aBd71gF52mp3O LDAFBlTNBXua8djHNCTdPRhnuDFQeYkhxWDIPvznPxNxFOTlqWAVK4psNIZreSYUoy4JwMuF vKQk9TUJ+hXKk8xZGn9w14sJUuYc2Xs+neAb/LDW3/ZMRVpUQvgEaaG47Hf0SNyLgDIrRPEp NntDqPEizWctasbaB3sq5ArKI14UJ1l9YoSmhphPV7rsMIsOpts4lOVIzdR6msTPP/7++vDv Xf7w/enr5KtXUPguZB5Cz95glh1wXRm/ylF+w3LDgsd7pg+BuoBOolWJtxTyd+Hr8+NfT5Pa 1YS8/Ar/uU6DRo0qNM1Nz4yVaXDm9CJx4JLDX9QGCyHoURYTrnZqqIXZFVZrZt5Gqyl9EmVo 0lZZgV5Iar2o8DbgKNt2270+fHu6++Pnn3/CPBiP6XJgCYoEcr8PegDS0qzku9swaTiRtAuL WmYM1cJM4c+OJ0nBolLLGQVRlt/g8WAi4Ei9GyZcfwQ2SOa8UGDMCwXDvPqahzinMb5PK5hP uDEaaVtiNrxLhsSY7WC0s7ga0kBBushi1qzj+gMlT1QFypoIaNobX1pHQMPJIbaI+tqNowKk uTDvR/HBG3yXLkUgAACKQQJFsFZDuxCXONhFsiSFoKMRrP8ghKVKmlVHfHIk6yVsx0c9mFJe F6hP7cki7KT72OtO7JBRwbFcWqcGacHPpIx7hL8JynzCzwRkCfMXa8I0FUdeUBYZWV2L3oL9 XN4cwmCrlpKtRIRLAUlwpmzXUUpsObBhWQYfKyfH5PFGkPKCbBkTyzQOqiyLs4wcK+fS3xDc jfj1wurD6O8gKMyUUerLJDONQM2kohmDWHGVkA0oZHSiX5bSOXCIhaCxXMsVpbJgW/CiPBHs wzjSGNIyZoKsnAihLelPR3KRE1Q66s0mXLHNMm1cvNQ0GT58/u/X57++vN39z10SxdNYOF0B IK2iJJCyiUlsmGbCIDoq93IN2E/mvXzPUlZwjayzFypvJ+NL9phc+NuVU10Swp2pR8oANqjm KWVQZJz7PmFFPUIRLmY9KhFLygdhADqv3YWXmC0Ie1gYbxziVHxQrSK6RqlZY5zp387PMha8 XVthp/Tj5Suspo1uV6+q04MaPEmIJvR9oGKB7qSsR0CRzZIE6zknh4F9zz5sVtoxhQmHygGX JXqK15YzVXhrLcFMit1JiNu0kloy/JucRCo/+AuzvMguErZM3VpaBIKFpx2aMUxyNghb7rK8 AFWq0NypTegiKyeWXdYHOn2qDI5sGiirpdCxd2pHx5fttUCZ+Bu9qU5X0M9S4jKtx0wUlykk Sk6l665UIU3dJmeB3dVzdkqHfHKjHzUxkZ6UR0JPOFziIeUkJkn2aTI1YfpHbaS2KS1nqh4S C6WZlHi6ZHjfpiamCh6KNlHLCznz8YIXlrWsMJL1YcXro4YqS2KYJPnozYssqnb/x9i1LbeN M+lXUeVqpiqzY0mWLO/WXEAkJCLiyQSpQ25YGkfJqMa2XLJT+2effrsBkgJINOWbOEJ/AHFG o9EHaSeu8U1KKtmDt5Dtj16oIs4JB5RYN8LQXxURwUW83UY/YqVcwjzt9HuBulyZYzhwxXWT q86qV3jrK934y7rfJaGXjXnwOyQVLrwJnRfO9kgQAWaQHuUpc99wdXO0M7/hdEKpw2MZadHS ULdaJtqNZf5wNiMU/VWD5Jgy29Rk0j+apovJLWUggXQpAsopCZJzISgfgg1Z3fsIE1cEFTOK sa/JlC1oRaYMW5G8IawOkPY1H48pUwygz9FFPUn12M2QEOYqciQonQC1sWx3y7YEyMwtb0eE 24qKPKUsO+JKj4buE61mwwpKH0Fh8u2Crr3PspD1DMpSWaeQ5JDterPr4gmjk7p4mqyLp+lw zBEmG0gk7q1I416QUDYYMaqD+IJwFHQh9/S5BvhfrpZAj3xdBI2A42x4s6KnVkXvKSCWwzHl hKGh93xADu/H9KJDMmVJDORFRMUGUSev33MwIJHehYBVGFJxOBp6z6RSr3azLd0vNYCuwirJ lsNRTx3CJKQnZ7id3k5vKZcEOLMZx5ABhNGOmvpb0p8qkONoRHj00yfXNiBMY4CaiTQXxIVd 0SNOxLmoqPf0lxWVUDnRxzKhz6CIQt7dUNbtSE9i4a3FvKdf+8QfmqlgM9IO70K/ckoqsUMi 6d1jvSVdCwB1Fy1c2qOB/4d6SDN8aquVwlocrc/a3mTr5Jr5bi01VmZcJ/SsR1ZH56DCKtWw FHVX1XstZX5VAT3oQ6+Oa/4BZE9IQhsoxRIjVrjFPjaUeva3UXgd/wCsR7LdAiYx31LS6BaU tU3UeoA9y9IAKk2QD3Xj+IbyclABK7kRwSAHtW8xlKHy5tZwc7lqNlO6na3lQrtJjTCkWpw7 Zrx+FW5/HWdXmHiNQMOgF3LeXgoq8l4vq4WIgg17jjWFkNsRfa1RIZKYYA9XyhiORvQURsh0 QQVrqxGBWFB2e4pp9nzyPaUuIk0I49ILPehH5DBkZDiHGrRmcB9z+nzXd3dPsM51eZuqUBH0 MeerwfQIM1N1YlBzdzubWn7OYAcow5R3p4femoXfFcgFth96+HnxUZdnPF7mgePjAMvYxsxY BM7nSCzvIrfVsRdeD4/o5hwzdAIwIJ7dVuFzrVoxzyvoKGkakTkdJSsaioc7RWIiEVpM0akw kopY4LIlPjfn4UrEnY7leZKWC/dIK4BYzjF84IIoFvWvMkPkodME/Nq1vwV7k2Q9bfOSYklE BkJyxDzYk9zbA9LTLPEFxm+iP9DZwU1iE+7ZygOTapnEmZDu3QAhHHW36B4kYxFqIqe8ymuy S7VNUb5CU9uVXfJoLgjNbUVfEIoHSAwSkp9QefPpbEyPDtSmfymsdnQPFh6qaBD2EkDfAKtD SLSQvBZ8o3hYarXvslp1zson0CiTyCPyztr8wqigy0jNNyIOnBoEuntiKWDn6lYi9GiDe0Un XoY0LU7W1AzBLnXtWnV6SVzCLQz8SF221Q1gsWjJ2UVWRPOQp8wfUasCUcv72xv3roLUTcB5 KFuF600A5okK1t2zT4T4OtlD3y1CJokzBPhqveTtLS0SaPKULPJWcoJRrbsLEUNnif71EOcu r8aakollu0TgA5yBeNTOBywxbMNhkhkPC0aiox9dkTYtcs7CXbztZIONHZ/fyD0Yg9tnuBTp XVg9ILlvirr/oQDiFq3oiecxwrgVyHDC0B0lWSQLMwyXSmwdVfi7bz9XvifJSFcKkXNG77NA hbkN7Ad3vY8oRBGnYdE5ijLKPzZucahrxyRxP1GFYuyuL8kOS6Y3MUFuJ7ABS847nFkewLZG NzYPMKCFflyht3/k3MqUUCVRiNHiKye0PvQB0XeKboQgozkifStgMZBU/HBvp33d+cDn9ew4 2m9KGRBO3BXrFqZu3+ou1rS2iXWzz/r+4tuTPDUTKkT9FFh9qV3gJSSH9ZWm2irYh/Cdte5k ay6u5geM6iSBB/cEkechr1Tx7OpWT4Z2Ioy55QFGXUMxVGPAZBl4dottmBV9TOWLY9gPPV7G fFO9qjY6k9Hx7fHw9LR/OZx+vql+Or2i+vWb3em1J5fqcd+6iiCZfBq1YEnuFtVUtHITwAYX CkJtGFHAMUgU2C3ReTWaRbvVuvWlvdGm1o52/hqZ5JbTakzaqI6fs65zITV/MDCLdwnM4nDI ofJP77Y3NzhERL22OB30CFoZVbo/X3rMxZQ0iNYL4yXdEefCwHDiqyo9QzcnsITLnOpMBctz nEESrkWtBceJiqn0hXRLLMxa9UfpUNNji/GHg7TdsRZIyHQ4nG57MQuYaFBSzwAll65ypLra mfQ1w8AVxCDIcDYc9tY6m7HpdHJ/1wvCGijv/FGLyWjmcOVLxnvavzlDeqh141HVVzoItl6E WjY+PWx51DW6ieG8+u+BaneeZKhH+e3wCnvo2+D0MpCeFIO/f74P5uFKRWCT/uB5/6v2irN/ ejsN/j4MXg6Hb4dv/zPAyA9mScHh6XXw/XQePJ/Oh8Hx5fvJ3scqXGcAdHJXjcKJ6hNPW6Wx nC2Y+2A0cQtgcKgz3sQJ6VMmEyYM/k8wkSZK+n5G+B9swwgzShP2pYhSGSTXP8tCVvhuTs6E JTGnrxgmcMWy6HpxlQCkhAFpR6txoHkMnTifjgglEC3v7bp1wgUmnvc/ji8/XOHw1KHje5QX AEXGm1jPzBIpbcup8qtdwCdU3tVBvSF8M1REKuTxXEVywEjXvZvvna2f2XSLCp9J7Dda68aZ zWZOiPw8EoQ3jIpKBFtQe51f5IX7vqartpac3g8ykVB6xppXWSY5Kf9QiJ7NvJ6y3u7OI9x5 aJjyo0aPik9LFNRxmPuCFuOpPkKxrQ+jCywU3VMCWK35mjBJUG2lm4pxqj1gS+cZacWsmpJs WAZ9TiPaxqktXkPyXJ+PC7FFa76eqYxKuwt3VFoE7CA3PW34V9WzW3pWIq8Ff0eT4ZbejgIJ HDX8Zzwh3KqaoNsp4YFZ9T1G4YThA565t4u8gCVyxXfOxZj+8+vt+AjXtXD/yx3lLE5SzY96 nLAjq/eJcfuxzLinEd+xC1kyf0m88uS7lPDeo9asinGujKv7LhnqjkHv/mEqyNCwxcY9pBHl mYRH6DrUJdfB+xreeC6cqLr/KM19SzTZpJYd8Z8Nmmc4s2PcWDCEOwYQtWWwajxRLusYX1UC IwIlKqLy2ODeES9097Ko6ZTff0VPPXbfXwB6BnEvhIo+mRC+gy9092pr6MRpU9FnlHuVapD4 OikjJtx3oksjCScjDWBKOAHRo+yPKKftil55B5W3FDupr9keQ4cmPYDQm9wPCc2YZrwnbp/r ip7krRq0pp9i5f9+Or78+9vwd7U7ZMv5oHo2+PmClu8OIdLgt4v07vfOBJ7jbug+MBU9Crce 5cqpBmQEV6DoaNBNU9HR3Gze02faPU0lAHL2TX4+/vhhveOaYpHuzlDLS+gQgBYMeG+SlbeA wBS4WVULFXCW5XNOXEksaGMvcx3q9W1DNYh5uVgLwsDPbkol33L0+PH1HWMRvg3edbdfpl58 eP9+fMKQn4/Kc8HgNxyd9/35x+G9O++aUQBuRwpK4cxuJIsoV3MWLmWtB0I3DO5UlBeQVnGo keDmCO3+JfVimOdxdDAoQqr7BfwbizmLXWIY7jMPLmsJyhSllxWGhFOROiJTTG1htCm5dsFr LglFpOwlKiIqO5WR7Qha1wmd0jjbU5PvCGVFRedkFMGKPBn1kMVsNLubuN+Ka8D9HXFyaMCY Uu2pyNSBoMl8POwFbAm9YJ17QjlT0uQ78mrbNJ6w/lP0bDaa9pY/6W/6hArMVtWuZaRREbMc JpowpicmYGyP6Ww461I6nBsmBl6eyJ3rwQypQMmTwLPLqRJrE6lP5/fHm092qdQMR1q8Bqaz fgGAhMGx9g1hnCkIBEZh0aygdjoaLDmSW1ZYZnpZCF627bHsWmfrzhWleazBmjrY0jofm88n Xznx0nYB8eSrW+x1gWxnhKfFGuJLuMK4OSMTQsTdMCDTOzebVkPQK/Y9MTFrTCYn3vhKOUKG sHTdq9PGEDrINWgLELc4sEaoMD4ED21hKC+lFmj8EdBHMIRfxaajb4c5Efiqhsz9u5sJYW7U YB7GIzdPVCMk3IDuiXCANWYRjalgf82gwxwldIANyISwQTJLITx21hAejW+IQD5NKWuA9PdL tp7NCClG0zE+LKlZZ+FjSG174ZsbywhVwFFvoTGNRjzGi/7AhuHL8Yi4TBpTZzT8SPPvbdGp 9hv9tH+HC8wzXX/M7kVJ50iodocR4d7QgEwIByEmZNLf8bgNzSYY6VQQKogG8o64nl8go1tC EtUMdL4a3uWsf8JEt7P8SusRQnibNiGT/t0+ktF0dKVR84db6j7dTIJ04hEX/xqC06R72T29 /IF3mStTdZHD/1oLvtEyloeXN7gnO2eZj+6q19WLf1PsJZUILA+ArgcltBnm8dLyoIRplUcN JU6KeShtKnpgNr+Nb2cZg35f+sTLjRZPCCATvDaGD6EyP8DFGXU34MvRMnJfsi4YB4Pkb7Bs rzY3uPSZTncWWOehLEaBzqkKVzTM61TYlAWW3fgGg1K8p+Ph5d2aJ0zuYq/Mt2S3+Gj94uCr IH1eLLpKH6q8hWj5k9+odOcHiqoki1a7ILM/YlS72Pa+LBC3S5xwtW25o8uQLBJ0CF2Yta+S qTGqc0UOXf7o+Hg+vZ2+vw+CX6+H8x/rwY+fh7d3S3Wodtp6BWr0Zs5gLbl4dBXdp1IlKB3L l3kYn0NkPIRLNnH/5lnguxX9UM++DFlKqR37nj8nHCBXIaHnIumlJzPqlVMBsnlOOJnUVLdk Z1F8ETkshp6a1xAVI4sI7wKHXFJmi5UI3beQZeqX2oYETkRC7y1V8g13foxC0jcykRR9TUhZ zJS+dx8IbZ5gv+1BKEXPHjq+5KbM74Og/HSFGNKFfhOc2mdtDT9rJ4eFGCYbxzznnKd1Q635 jTP0yvxORbkhlEZRnTNnWW/jEhmIOSvned9cqFEB1T5VDS9K3Vuibr2yaFhT8j6NWVMrojoK e7s3jXpcPKNDrCwnbMa0ynDvPFFfSNgqz6g3i7qUB+I6ot6Py2VEvLPrL2TEq2T1UoH6vZAS c68Phh0hiLGQRYZmbyi0GJfzIs8JndaqpCIWOVlWFG77FdbwWqLU5KE4mIlxLhihoqs/pySd Mh2VqUv1CpuFCHOFeEGWRLypBbHVwHbK4sRd2bqgcIWCmTBJVoXhgydA40ygobVkyky7S/0u gbSLM6rn59MLcCWnx3+1G7P/PZ3/NbmTSx4UaNzfEvGhDZgUkzERebmFInyf2CjiSdAAeb7H 7wh3ICZMonFk6bVWS+PBydkTxuGwQR++YWK/9uquUpnk6efZiq9zGSaZKSHoZGyMRbji67yd qn6W+BELOQ/9BnmpseurxgyCRT9PXFZ+AvqkMOTw2mP84eVwPj4OFHGQ7n8c1NPJQHbZpGtQ Y4moL6lryqJvG9Qltbs1Ozyf3g+v59Oj83rFUXkeBZnO8XRk1oW+Pr/9cJaXwrWm4iTdJVo5 zfO6iP1Ny3RXyzOgbr/JX2/vh+dBAnPrn+Pr74M3fPT8Dt13UULWrrifn04/IFme7Ntk7Xjb Qdb5oMDDNzJbl6odE55P+2+Pp2cqn5OuVUC36Z+L8+Hw9riHMX84ncUDVcg1qH6j+69oSxXQ oSniw8/9E1SNrLuTbo4X3La67hi2x6fjy386ZdZsvQ64uPYK59xwZW5MJT40Cww2Ut0bFhl3 G5TzLR6nxKERJRnxZEdcx+LcrfGyhhOK0pJJN1Gn90T2oNzXu65VHZpRrRRdwFEfyjiqfcGP HD0U2u/fWkoX7GDX+ftNda45XJUhdYkAV8lzLypXGEMENblIFKSX6ZaVo1kcKW2t6ygszzlD 7KoauVWoWOZm4SJb41W3+XBGweT+BXZ9OLGO76ezq9P7YI0Yk1lX0zyAjQx91oVdWQN7+XY+ Hb9ZcovYzxLC0KaGG/dDpzeA+jXL/Nk8Wmkh2Wbwft4/omKuw9hH5gQXp46VPHBWzlGkcQ9N CUVISfp+CkVEzWCldN/H/Xpo7Ug4lWxFj9WeuY+wk+pJZEr3POYFvNygUaV+vreEJywUPnCx 5ULCHTVrqbjU7ZZ4CjPrLgdbzagkDm6gjVu0C+XW8pSoEgrJ0am5KrNFwmolEl3he2GXJLlX ZCLftSp2S76Sfpn7IxOMv0kwfCCaq96z5PhcYGQHSTX+C03a0iTggcjunOc9n4tF2JN1MaJz AsW98Kg+R5awpXNRpZVzZEvLJHWNOUobFdsqTDPWCLYIVAvetelm/XjsZbu07ZO1obd9/Pvt BKETlOqWVTTTBEepD0WSG16W1E/UsFG6tmrJLlqRxJX5TAXcsCxuyf4u0mmFoCabpuYZt8p+ WER5uXZ5pdSUUaumXm6MGFrKLaS93nRaaQ/jQi1A9yxBt7YYzd4R79rbP/5j20IspFou7kuU Rmu4/wfcc//0177atDp7lpDJ/XR6Y9X8SxIKbqgGfQWQ3YzCX3RaUX/c/UEtKk/knwuW/xnn 7soAzapIJCGHlbJuQ/B3rXqGOkcp2ibdju9cdJFgGCdgZv76dHw7zWaT+z+Gn8ypeoEW+cL9 uhbnjmVenxTu5ml+4e3w89tp8N3V7I5TW5Wwsr01qbR11H5TMZIrOTe6f3XZPyokxg80J65K xD5Da06RJ1mnbC8QoZ9x17agM6N9MprVypzlhdGIFc9iy1OvrQSTR2nnp2sz1IQty83QP0Gx hH1ibhZQJanGGDOI64C0nNkeO/SfzlDWm+1CrFmGQ/JssHLdEWy+IqR+6kGtIh5ZSyXJUEOc PhuY30Nb0DSu9muKGtAZgYQG6+QR2FPXeU91aJKXsYggyYeCyYAgrnsO8UjEMFGojTTqaX1K 0x7i7W0vdUpTs76PpmgXRzgM28k1la2g5icckhh3rzXlauLC3jLxt3l6qd/j9m970am0W3Ma Y4rcEBckDS9dh6cyjI7t0wPheA5W+qV+7GxjBcJtBC4RAGoV4dJ6XWZKQg2XzsQwPkaOp/1T N8/4FrS/qxSLhLYfAVnEWeq1f5dLm9uvUmlzWI+nAbliBEVIfEZvFtRsMfUJ4EfjMvDTz/fv s08mpT5BSzhBre42aXdjtzaPDbpzS6gt0IywD22B3HojLdCHPveBilMqsi2QW2beAn2k4oTm XQvklr63QB/pgqlbQN8CuRV+LND9+AMldQIvukv6QD/d336gTjNCXRRBwMMix1cSbJ1ZzJCy W26jXBseYpj0hLDXXP35YXtZ1QS6D2oEPVFqxPXW01OkRtCjWiPoRVQj6KFquuF6Y4bXWzOk m7NKxKx0m+o0ZLeWBJJREwlOdEJ7oUZ4PMwJaeQFAvfYgvBN1ICyhOXi2sd2mQjDK59bMn4V Avdet35tjYA7RNgyKuli4kK4RWlW911rVF5kK+F0toYIvIRZt85YeB3nX3XwJ1Mip599Do8/ z8f3X13NLHQDaZaLv+uooKXjWl1zcZewPJAjE/GS4JKrIt18spazcJ+GAKH0AwxBpx0TEqxz JZAr/YhLJaTPM+G5vM8Yort23g38qwIMBUmysvmXCuLkKJr8FSPqytgwqVvKrWSDTJnTZ2so ozKKWIrMPlyT/Oyv6WQynloP7Cosc8x9JXfC8I6l8kzMWjfZDswtpgPeD2VYMikyyr8vxi3y VDHoIkZHcuzrIclVRCBH31eUcg4ccsrgjtSD8YXEYepD8DUPk7QHwdaeqr7swcDU91awEuBm n6PAuuB/3TgGTMLaJXyL15A8iZId4fG5xrAU2h0R3ggaFPo8TwURKKQG7RihtXmpM1vgO5bT 6S8KG5dt6XaTiJ7PY9Z2d9BBoSmf5dZLEFXia5caSS15csycJmcH4zOXV1NYOH99+rV/3n9+ Ou2/vR5fPr/tvx8AcPz2Ge2UfuC2+Pnt8HR8+fmfz2/P+8d/P7+fnk+/Tp/3r6/78/Pp/Env oavD+eXwpGKPHl7wpeayl2qtzgNgfw2OL8f34/7p+H91oOqmc0SOc85blXESWwKYpeeVaVgs YWnDxlV4ecjZijb8dcPnu4y7NTR78LhDXM+DdrSQxQlUzUpivdUQhq8dMLooIrG15qu7O2sy PRrNI3f7zGu0V/DQSRp9o/Ov1/fT4BE9PDVxzw1VGQWG5i2t+FtW8qibzpnvTOxC5+HKE2lg xshqU7qZAiYDZ2IXmpnPH5c0J7AbdquuOlkTRtV+laYONOqadpOBO4JbRLeMKt16O6tI7dXh zFifFcoIUHaKXy6Go1lUhB1CXITuRFdNUvWXkPYphPrj2mvrXinyAHih/6/sWJbbxpH3/QrX nnardqb8SuIccuADFBnzZZCUZF9YjqNyVBk7KUuuSf5+uxsEBYBoynNIVYxugXg0Go1+evr2 OtnXr1/+2j788X3z++SBiPcRy+n9ntCsbAJPl7E/n8cAFdExuIztgsPKFv+6/7Z53m8f7veb ryfimcYFh+7k7+3+20mw2/142BIovt/fTwYamSX89N5EhWfwUQoSaXB+Wlf57dkFEzo4HrdF 1nCleh0cPxM0kbhiN5rgKtk175lixSYOfMwX+TugNOImW07WQsCcgXUuNcsKyc3u6cdXM5xG r1Doo6MoCfmPRq30/aTlNNjDmPxeOgM4l/50RwO4SmZ/XcMs5uDr+bHBo2ElGfWs3lNMnNp2 U6+h9H73jVvawswKoJmuapyM8MgMlk7sjzIJbh83u/30uzK6OPfuKgGUZ8k8/4kYtZKJAKue c8HUelbrlMsHdOipPTuNM1+6cn2yh8trsulvONNFfDnD9ON3nm6LDE4Phg0wugDNLIv4CK9A DEYfesA4wiYA4+J87vynwdmExKARuvVMDQDvmPpgBwy/cknDmYrbGoyOASFTEUlfUQt59nF2 EKvaGaWSu7Y/v9lOyZrbNp6pQmvvTQNvwN9d+RYJIWV2/JAEZRdmvge+5mgZpUy+9H0Cmue6 DvNqlWRHDk6A/vVMVvIRp2lnjwci+Krx6qvfu7TJUfnlOg3uAr8OTBNKkDdcCUfn6p7tRjAl HEa4rLnQFxulbxpxjhQxT/2z29Yy6Sk1eFUd29QBxR2HjnP4+bLZ7dQjcSKliSTnojw0Qd75 VQoD+IqJQh5/PTt3AKez/PKuaaeZ3uT989cfTyfl69OXzYtyytev4Olxa7I+qqU3YlEvggwX Ou7SA2GuXgU7ck8REgg+8x+ffPdzhrmMBHr/1rfMqwQLNR/9/ojYDO+nNyFLxsfLxcOXJj8z HBsmTKqmwszKt55i2ddB7IaZ+NAWgqtHYSClWVL2Hz4yiYUMxKAFlgiC5iwdHhDxmjy9nD2y iBy50TZTlBt0fkqvPr77dfzbiBtdcHmYXMT3TEIm5uNLv0LH9/k3osIAlj7ZLGhui0Kg1pxU 7pj10vDeOwDrLswHnKYLbbT1u9OPfSRQb5xF6NyrPHstL6rrqLlC18UlwrEX1vsXUT/A6W8a NDD6u/qgErA6OUYP+s5sgXruWihnz6WQamSZJy9btHnZY/QDvFJ3lCdwt318vt+/vmxOHr5t Hr5vnx/NcHb0M+lbrNihrBfS8jKdwptP/za86wa4WLcyMFeM09pWZRzIW/d7fmzVdZhT8rum 9SNr/8Q3TFrPKcxKHAO5nSb6JZpvv7zcv/w+efnxut8+216ZGEfhD0gPM5ArMdreIB4dHgEi ZxnVt30iq0I70HpQclEy0FKgx2Jm+nloUJJhyeBMwqqEtno6qmSc+dTHyuoU5NPO6igb3dMd kNM8FtpIAsymj5GcdZ7Z6q4I+BLcLVbTmSPORv30aWWBs7brfUYvet45fcF7rxF54iqYbAQ4 6iK8vfL8VEE4EYJQArniJRjECBmrKUAZH4+IF7QjJrNoFqpXMvezKx8zROuFUflwxJdBGVfF /NLd4UMBbtdceVmarYNQZ3hf3VUUfT+U0zNaMWngtP3S276+w2b376G+pN1GoT31FDcL3l9O GgNZ+NratCvCCaABDj3tN4w+m+s3tDIrd5hbv7jLjANkAEIAnHsh+V0ReAHrOwa/Ytovpyfa NKQOIHLKXwa5dp4f78qmijLgGksBiyUDs+BjQAEtZnSRakI/u95iGdgem/Mp4WXUNyoFTk6F PS1bGCbGAbmP8/JvFrmagsFf0Lp5sOYZgLrrpTWY+MZkf3llFbXFv+eOQ5nb3spRfocJNSzb oLxB5Y+vHGdRZ1bWwzgrrL8rKoO2gHvOrKzZRc053hLWnUwmcr2fy7ippru8EC0mta2S2Nw2 8zf9hUF8SYXvzNFNcpwPtnsjUhD/6teV08PVrzPjoDYYf1eZ4RSDP3l0vQpyIwa7AfbpBEep KXt3Y7zyJze2bdvUgg61/nzZPu+/U/6zr0+b3ePUe4SkgWtKBWzJZqoZq5D6rTRV2VQUfrPI 0VY/2p0+sBg3HYZhjOWVtVw46eHyMAp0JtBDoZJN3jtAF5vyeKcOS8Yuw/iO3/61+WO/fRqk ph2hPqj2F2PRDNs1fIueYJ7FESWZrIoOHXDwlBr0IoNCULTPp7PT80t752vgPRipyKRvkPAm pI4By4vQlSBQxdhBWOU++lWjtt2XU4FF2BuVmcJ7hKsaqCO7E4CSZ6UTbKW6BAkXpSwMHSgC J5X+QQi2UGgR+qrMb93VqatJWaFh4JWMYPHQ9l37Uj4fsi68bT9HUsRCmyh3y5vDWIzG0dCt NvbT6a8zH5YqXGJeSTho5fHttmKMhRbBBzt5vPny+vioDq8hgmP9mXWLJVUZk7zqEBHpgvDi UDfVqmS0FASGZcdEQ8yr5PCVnvNSUCiywjJHfF0JhVWFnwVnn2ryLtRojKMMYpD3j4fQUlVH ntYermr0e5iSkoawh0T5eXSNUxxKAb0uL+MjYcBRSfA8P1YA9ssq4J48LaY/HugeZQ0u4xai pdkihX7mV4emiGF6SV6tXAJlgFFEU7wOmqA05OsBqprpp5/O/uU6ghwI3OkNfhRVS0yEjuEO kYe9pBjuPzG2YX8n+Y+H768/1QlP758fLTaNVWxR7dXV0FMLFMe4Z6FH3VvwFLBPMb9RGzDZ 7lc3wNuAw8Wu2WUMwfaP2zyPmPALmGXlj4y14KNnmwUkMahrLYc3LNTHS5gEtZWK1Ka97Jx+ 1AHBYop0xc0QIw7lWojaYS1K/YB28JEwTv6z+7l9Rtv47n8nT6/7za8N/Gezf/jzzz//a1Q3 wJhh6ntB0tJUgKslkK6ODfY/K7EPnNocK8O3fivWYu6o+RL4OCjHO1mtFBJwtmrlOpC6o1o1 gpEQFAJNjb8LFJJOpp/DxhzpC9eYFN2DVOr/Nn0Vzg2+RXjuf5jorIj7D6hipFWkR2IhJiGQ kAFrAbIRmqaAbpUGYGbK1+puYvkz/FtiQovGczGwtUoH7n0E3szdvRR5ngmmnKrCiSTMEdOL 2eKfMu1EnV/GAADeKwm/a4jBba2BghcTCZEj9zk/M+GT3cFGcePJOXvIj2QNenJsbgaZUPIF QIZNI/IEQQoV6YzSCkafVi36TBJjEDpJjBdb70YvpKwk8M3PSr71vRq7Uom+Dqr14lQh3b5e DicMxlRGt05qPi37o+XocAY8wX9VrTbADDxGYWAc3jx0IYM69ePoB1iiN5gH9qusTfHB37jf UeCCcpcAQmQVeCcUjPYm4kJMeiS4nUTDD1UvB6DqO7JToNFLO+ySxJwPJWYkfEv1gJSAxKMK hU1WYYKvNQ4M4nR3ksnZcLbFL7dLIQp4ncHjgwbO5IuRNyAHJXMdqSt9BiFdAfXNIQz7N+yR fyDq531TBpPaoPrBj5X/Ury+yd7julnrdixgjSc0Hn7A3K0jOhDNLKKSZaaz06MaSs9mVe9Q +DV8IhTD4hvqK3+zPgpuu4M9WdM2ANZb8+wZUxQTqn/r0Iaka0Hx+0IHqg+Bw6RFIJmaBYcj 8w8wj47fIGPS8vCYakEEKm0xlAZ31yceg/SXxYLKMJ9dfLwk7erwntLjA/4AdxR9CYfq5obO r2MmCxTZK8ku1zi1xm0UFqpohl49FFrCzTU88HKQlWYu5xD11zNwUjxXeYU5K1ksSxk+s1VC 4j3JwpVY+f6Ske/MBUrF2s3t4aygUoaqqCSGcge8JmKCoJR1GTBaJtEWISiTKA9XitpZOMgC TI04wug6N6mZCV2TnYGH63c4jyHRJYSC32YWnPNoIWjGVGFW9M4UyCPgsuAfG2ryKJuwcWpq Beu55UdTeIrKZK5cGdmFYReOcKWh2Kss4Fkws1AqrczMfHhd9ECQFFbHhkQqoiyqGYooRBHB hTt7Osg6z1hgdScsAsB4zkOaNypXjnZ12U0yaR1uzqCoc8Gq4Ugndr2ILWsR/j2nP+tC0iIh e0Stc5BbSjSC+gRg+lWQZ4sSmLnB6g29HGUCzBp6HK+EIV+qaNMBw7JsVTbM82HFo+HySvJg 0XhK0QUyv9VWjK4xDa9X7/vhKUmmDjPhsvkrpq84XNiZ9ZwP9euYcWGnegIty31FkvX1op2k XnJfX74ccHHVARPSMUiuJigPk7zzRkgTuYyCjE+ng4NWlfjknLkyqwYh4nR9depspQYwPqoj xswBH3FQNuV1BGS4wjBY21+39uRxc9YIXRMZO5dSAxTZ3PTVKpG1pLYkGpXCHO9nVgXYlasM k3V67DBuzJ6yMv4fVarHjbTWAQA= --2l3duro6hhm5qmuh--