From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1759703AbcLBOm5 (ORCPT ); Fri, 2 Dec 2016 09:42:57 -0500 Received: from mga04.intel.com ([192.55.52.120]:51262 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1758942AbcLBOmp (ORCPT ); Fri, 2 Dec 2016 09:42:45 -0500 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.33,287,1477983600"; d="gz'50?scan'50,208,50";a="12683025" Date: Fri, 2 Dec 2016 22:42:05 +0800 From: kbuild test robot To: cuilifei Cc: kbuild-all@01.org, linux-kernel@vger.kernel.org, miklos@szeredi.hu, cuilifei Subject: Re: [PATCH] fuse: freezing abort when use wait_event_killable{,_exclusive}(). Message-ID: <201612022203.NBbXD2X1%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="Qxx1br4bt0+wmkIi" Content-Disposition: inline In-Reply-To: <1480570636-31046-1-git-send-email-cuilifei@xiaomi.com> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --Qxx1br4bt0+wmkIi Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi cuilifei, [auto build test ERROR on fuse/for-next] [also build test ERROR on v4.9-rc7 next-20161202] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/cuilifei/fuse-freezing-abort-when-use-wait_event_killable-_exclusive/20161202-221508 base: https://git.kernel.org/pub/scm/linux/kernel/git/mszeredi/fuse.git for-next config: i386-randconfig-i0-201648 (attached as .config) compiler: gcc-4.8 (Debian 4.8.4-1) 4.8.4 reproduce: # save the attached .config to linux build tree make ARCH=i386 All errors (new ones prefixed by >>): fs/fuse/dev.c: In function '__fuse_get_req': >> fs/fuse/dev.c:31:4: error: 'ret' undeclared (first use in this function) ret = wait_event_interruptible_exclusive(wq, \ ^ fs/fuse/dev.c:175:10: note: in expansion of macro 'wait_fatal_freezable' intr = wait_fatal_freezable(fc->blocked_waitq, ^ fs/fuse/dev.c:31:4: note: each undeclared identifier is reported only once for each function it appears in ret = wait_event_interruptible_exclusive(wq, \ ^ fs/fuse/dev.c:175:10: note: in expansion of macro 'wait_fatal_freezable' intr = wait_fatal_freezable(fc->blocked_waitq, ^ >> fs/fuse/dev.c:175:3: error: implicit declaration of function 'freezing' [-Werror=implicit-function-declaration] intr = wait_fatal_freezable(fc->blocked_waitq, ^ >> fs/fuse/dev.c:175:3: error: implicit declaration of function 'try_to_freeze' [-Werror=implicit-function-declaration] fs/fuse/dev.c: In function 'request_wait_answer': >> fs/fuse/dev.c:31:4: error: 'ret' undeclared (first use in this function) ret = wait_event_interruptible_exclusive(wq, \ ^ fs/fuse/dev.c:468:9: note: in expansion of macro 'wait_fatal_freezable' err = wait_fatal_freezable(req->waitq, ^ cc1: some warnings being treated as errors vim +/ret +31 fs/fuse/dev.c 25 26 #define wait_fatal_freezable(wq, condition, exclusive) \ 27 ({ \ 28 int __ret = 0; \ 29 do { \ 30 if (exclusive) \ > 31 ret = wait_event_interruptible_exclusive(wq, \ 32 condition); \ 33 else \ 34 ret = wait_event_interruptible(wq, condition); \ 35 if (!__ret || fatal_signal_pending(current)) \ 36 break; \ 37 if (!freezing(current)) \ 38 continue; \ 39 } while (try_to_freeze()); \ 40 __ret; \ 41 }) 42 43 static struct kmem_cache *fuse_req_cachep; 44 45 static struct fuse_dev *fuse_get_dev(struct file *file) 46 { 47 /* 48 * Lockless access is OK, because file->private data is set 49 * once during mount and is valid until the file is released. 50 */ 51 return ACCESS_ONCE(file->private_data); 52 } 53 54 static void fuse_request_init(struct fuse_req *req, struct page **pages, 55 struct fuse_page_desc *page_descs, 56 unsigned npages) 57 { 58 memset(req, 0, sizeof(*req)); 59 memset(pages, 0, sizeof(*pages) * npages); 60 memset(page_descs, 0, sizeof(*page_descs) * npages); 61 INIT_LIST_HEAD(&req->list); 62 INIT_LIST_HEAD(&req->intr_entry); 63 init_waitqueue_head(&req->waitq); 64 atomic_set(&req->count, 1); 65 req->pages = pages; 66 req->page_descs = page_descs; 67 req->max_pages = npages; 68 __set_bit(FR_PENDING, &req->flags); 69 } 70 71 static struct fuse_req *__fuse_request_alloc(unsigned npages, gfp_t flags) 72 { 73 struct fuse_req *req = kmem_cache_alloc(fuse_req_cachep, flags); 74 if (req) { 75 struct page **pages; 76 struct fuse_page_desc *page_descs; 77 78 if (npages <= FUSE_REQ_INLINE_PAGES) { 79 pages = req->inline_pages; 80 page_descs = req->inline_page_descs; 81 } else { 82 pages = kmalloc(sizeof(struct page *) * npages, flags); 83 page_descs = kmalloc(sizeof(struct fuse_page_desc) * 84 npages, flags); 85 } 86 87 if (!pages || !page_descs) { 88 kfree(pages); 89 kfree(page_descs); 90 kmem_cache_free(fuse_req_cachep, req); 91 return NULL; 92 } 93 94 fuse_request_init(req, pages, page_descs, npages); 95 } 96 return req; 97 } 98 99 struct fuse_req *fuse_request_alloc(unsigned npages) 100 { 101 return __fuse_request_alloc(npages, GFP_KERNEL); 102 } 103 EXPORT_SYMBOL_GPL(fuse_request_alloc); 104 105 struct fuse_req *fuse_request_alloc_nofs(unsigned npages) 106 { 107 return __fuse_request_alloc(npages, GFP_NOFS); 108 } 109 110 void fuse_request_free(struct fuse_req *req) 111 { 112 if (req->pages != req->inline_pages) { 113 kfree(req->pages); 114 kfree(req->page_descs); 115 } 116 kmem_cache_free(fuse_req_cachep, req); 117 } 118 119 static void block_sigs(sigset_t *oldset) 120 { 121 sigset_t mask; 122 123 siginitsetinv(&mask, sigmask(SIGKILL)); 124 sigprocmask(SIG_BLOCK, &mask, oldset); 125 } 126 127 static void restore_sigs(sigset_t *oldset) 128 { 129 sigprocmask(SIG_SETMASK, oldset, NULL); 130 } 131 132 void __fuse_get_request(struct fuse_req *req) 133 { 134 atomic_inc(&req->count); 135 } 136 137 /* Must be called with > 1 refcount */ 138 static void __fuse_put_request(struct fuse_req *req) 139 { 140 BUG_ON(atomic_read(&req->count) < 2); 141 atomic_dec(&req->count); 142 } 143 144 static void fuse_req_init_context(struct fuse_req *req) 145 { 146 req->in.h.uid = from_kuid_munged(&init_user_ns, current_fsuid()); 147 req->in.h.gid = from_kgid_munged(&init_user_ns, current_fsgid()); 148 req->in.h.pid = current->pid; 149 } 150 151 void fuse_set_initialized(struct fuse_conn *fc) 152 { 153 /* Make sure stores before this are seen on another CPU */ 154 smp_wmb(); 155 fc->initialized = 1; 156 } 157 158 static bool fuse_block_alloc(struct fuse_conn *fc, bool for_background) 159 { 160 return !fc->initialized || (for_background && fc->blocked); 161 } 162 163 static struct fuse_req *__fuse_get_req(struct fuse_conn *fc, unsigned npages, 164 bool for_background) 165 { 166 struct fuse_req *req; 167 sigset_t oldset; 168 int intr; 169 int err; 170 atomic_inc(&fc->num_waiting); 171 172 if (fuse_block_alloc(fc, for_background)) { 173 err = -EINTR; 174 block_sigs(&oldset); > 175 intr = wait_fatal_freezable(fc->blocked_waitq, 176 !fuse_block_alloc(fc, for_background), true); 177 restore_sigs(&oldset); 178 if (intr) --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --Qxx1br4bt0+wmkIi Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICIGGQVgAAy5jb25maWcAhFxLc+O2st6fX6Ga3MU5i8n4HadueQGBoISIIDgEKFnesDy2 JnHFY8/1Iyfz7283QIoA2FSymIrQjXc/vm40/dO/fpqx97fnb7dvD3e3j48/Zr/vnnYvt2+7 +9nXh8fd/84yPSu1nYlM2p+BuXh4ev/708Pp5cXs7Odffz76+HJ3PFvtXp52jzP+/PT14fd3 6P3w/PSvn4Cb6zKXi/bibC7t7OF19vT8Nnvdvf2ra7++vGhPT65+BL+HH7I0tm64lbpsM8F1 JuqBqBtbNbbNda2Yvfqwe/x6evIRV/Wh52A1X0K/3P+8+nD7cvfHp78vLz7duVW+uj2097uv /ve+X6H5KhNVa5qq0rUdpjSW8ZWtGRdjmlLN8MPNrBSr2rrMWti5aZUsry4P0dn11fEFzcC1 qpj9x3Eitmi4UoiszRRrkRV2YcWwVkczC0cuRLmwy4G2EKWoJW+lYUgfE+bNYty43Ai5WNr0 ONi2XbK1aCve5hkfqPXGCNVe8+WCZVnLioWupV2q8bicFXJew+LhUgu2TcZfMtPyqmlroF1T NMaXoi1kCZcnb4IDcIsywjZVW4najcFqwZIT6klCzeFXLmtjW75sytUEX8UWgmbzK5JzUZfM iXaljZHzQiQspjGVgGudIG9YadtlA7NUCi5wCWumONzhscJx2mI+msOJsWl1ZaWCY8lA6eCM ZLmY4swEXLrbHitAU6bYmqrWc2EGci6vW8HqYgu/WyWC+/Uj1jpjNjj1amEZ7Bpkci0Kc3U6 cOe9nkoDiv/p8eHLp2/P9++Pu9dP/9OUTAmUAcGM+PRzotmy/txudB1cxryRRQZbF6249vOZ SK3tEkQBDyXX8E9rmcHOzrItnJl8RGv2/h1a+hFrvRJlC5s0qgptmbStKNdwTLhyJe3V6UlP 5DXcsdNfCff84cNgN7u21gpDmU+4AFasRW1AjrAf0dyyxupE2lcge6JoFzeyoilzoJzQpOIm NAQh5fpmqsfE/MXN2UCI17Q/gHBB4QGkDLisQ/Trm8O99WHyGXH4IImsKUAJtbEodlcf/v30 /LT7z/4azNasZcXD7YAygx6oz41oBDmjFwXQD11vW2bB4yyJqfMlK7PQJDRGgHEMZ2JNRnpc dwFOVx0HrBFkpeiFGjRk9vr+5fXH69vu2yDUe0cACuQUm/ARQDJLvQlEHloyrRh4LKINTCAY JljHlqQ6oxBTwNVzMFBeJSMLZSpWG4FMQxtHN250A33AElq+zHRq00KW2PiElDW4nQy9TsHQ mG95QezemZD1cJip68LxwJCV1hwkovVgGYeJDrMBCmhZ9ltD8imN5jfzXt7dqn34tnt5pS7W Sr4CWyXg5oKhSt0ub9D2KF2GMgWN4N+kziQnJMv3kpFcurZoCIAGYJ+NO7HahMN4vFg1n+zt 65+zN1jz7Pbpfvb6dvv2Oru9u3t+f3p7ePo9Wbzz15zrprSRTKDEuFuJiPt1zE2GkswFaBtw WFIZ0dwjXBovs+bNzFDHWW5boAXohgNmuIZTC3FkxOEmGXeCeYuCuANbC+EYHBAlrgFpq85v VXBZV0dD5341oPiinWtNGQjnEgFFlieBc5erDkWPWtwpDs2FxhFyMAUyt1fHv+wFQcmUtnfp ziQ1APa9AwaclnlpDxRyUeumMuFBgI3kC2L9ntUPE/LnTNZtQCNvvLZTLPHolcyixXTNOVzO jahpy16BkY5FKe6cibXkghgVek6KaL8eUeeHRvbGdOi1FHxVaQkAEXTR6poSJPRpYFl5iOIa MD5ltHNwcNBCdIfd1gkvnBrNWwqbsHopQOzitkDuHcxtjoC0qgUHazdxoxgrUGJerPDEHTCr sxio1UzBwN7+B7CqzkbwBJpG0GQgxVgJGkKI5Og6+X0W3RLf43J0fu6SMdwtSb1PueMoh5UA BWUJMXRwm17xZHYcBN3ow2wBVoKLyoUnzs4kfSpuqhUsqGAWVxTg6Soffuzt3n5Hbi5i7Qpw lESBCdYB8YoC09gOTjW5+I5ADLeCZrNVwU77ljYZaWifG100YBVhyaBvBwZt5xBaOLGych0c DNja0q7S32j4wnAjsKDjQxy8E06RN+TmclhlEOCKSoeIw8hFyYo8EGjnaMMGhyHyyDbCtR04 TrP08dqALSUNl1m2lrDwbqQpo+BQc7igisv2cyPrVWrf56yuZWxO+z1gGJ6JLJVLGL1NcZZr hInbtepDVufDu5xVtXv5+vzy7fbpbjcTf+2eAGwwgB0c4QagpsG5k4N34fB4io6+Vr5L60AI IJ7Ap3X5mjAeNQWLULwpmjlt+wo9p64K+jsvhMFxW0OUoFWiOVYoh3ZbCBBlLrlLQhBDgV/P ZRFhKmcKnNsIVUtcC0CdOsw/aN85cmZ9W3ceTuWrQlxPxSjBGOkICCacWA+03xpVAUKfi9hQ AHgDSLwSWzAXosjTMHowTD5dQdLcalwCE6wHqBf6JY7AcWrlIodjlbjJpox7JAEISgzCLYCN AEg3LI3GJRwqpuxgcTYhrdL8im+thSUJ4BnoDr4V0xU5Zegj6zWEjo51qfUqIWISEX5buWh0 Q4Q6Bi4JA4QuiCMSVuDPtwA8MKRyxt8lgJNZarEAg11mPiHbHW3LqnSpuBpoTWNJR1tuQPEE 8yAooSl5DTc2kI2bMXWbCG/guJu6hCjHgiaF4phaI+IgHZUYuLcldbe9rFGpXLjTiiQ+PMb+ 4lrDcgHhYIW51WSErtVniiZomW4m0o6I+XzI3eeeiPUZwdHCtaCxdnQ0C0ArVdEsZIz6guYp 5QIOdy6oE4IDdA0MKkEKwVRMhFsrJ3BUwgiX1BTsH0YDSdUlFY8MJ7KRdgma7q81rxFepwpP Bq2U+pWY8xBdChizsRSfSw+DSwrkR+msKUDh0fSAQUQcMxIf4ynOeYxT5ePHi4RBXIOlJBU8 7nUZ36uutn261RaRVAQbYoZKh+H7xLxJTABEkCWYVzjrDauzYJEawluASV1+/XREYO7FKbrt qsFMxmDX8/yAq3ArXXdPLXw1yh0suF5//HL7uruf/ekhyPeX568Pjz63EeiCXncJSGLL+6ty bL1jjJJPXtE6y+st81KgzMRwA3PbQRSCnhkAZiiaDo0aRDZXxwE+85JEoflOxlyqogAv0UQx 0xxDe2pLpjwOIs3SvUTAxBXoTFPG+YD4sYFZjR6jVpuEA6Xc5VozN4zL6k2z1JuEoQvne8BY vTzf7V5fn19mbz++++TU193t2/vLLkCJNyh1/rFsgCGqIvaLb5+5YOBBhI+1h4kdCdONPR2B S0JXlTPBkfkECc5lrCJ7IvYR1xZEHp+puqBjkhPcHia+K0MLOrIwNYzTJS9IXqlN3qq5nHz+ BbMnieAf7tR6M9k6N0wGAsst+EuIOsACLxoR5kPhdNhaxvFn3+YhARXkAV7vxxmCxLXqcP6E 2heui+9IMuznTYw7Bbt71iQDBvYHE3ZJJKbOLi/IGdX5AYI1fJKm1DVNu5gaEKwoBO9Kyn8g H6bTothTz2jqamJJq18m2i/pdl43RtPSq5zVF2SIpDay5EtAQxfRnXStp3RCSomClTRlIXQm FtfHB6htMXE9fFvL68lDXkvGT1v6Bc0RJw4Mw7qJXmh0J1S6czqxvXIajAmo7ineZ4EvQpbi eJrmAimFzjfMVg2mChEzYoiYhta9Au/oM56mUTG5g7oXZ4lplaVUjXJ+P4dgpNhenQdhMYYb iPhEIcLYBLnBJfn1jJvdBUXFLj0FDCnBDltlTZ3CECQ5+KcEhPCn9N30jI3iCUtvNSth9xH0 vlumKBttNlJHlQNSK9W0S1FUIawvXd2DAYSwPyghVGUdzI5scNe+1gUYQVZvaYvpuci8hO/v bGiAFzAYssLlbxMZqBAYRs+wXbPUSJgQYhca9T1DcdPkcLWoNeYPMfXa1QCgvUZIP+1CVewy PcoI8lHfnp8e3p5folevMKrsRL+Msy9jjppVxSE6T4qCQg7n5vUmvGt3PAKA8hZwblixFf+y GvR4HmTA5eUqHqQWeEa5vPZvO71pkRyUDCxFZFX7Rr9k2ibteWDRlL3e0xHqO4OURzkPdycm 2SmItQwUtNT4hpn44a7pbEGuq6NenFEOf61MVQDSOY1eaPrWE3rEnnxMQwgI+zTEKMJeHf3N j/x/4ZYqlsb11XILV51ldWt9rivYMNY1OcMNe3BhTfyygN1z0D2gtqJkRCWTA6rTZGdH+5oH CB5C6ykLFLSiR4D4Gt+Iq/1m6L7Dm1+3LMXKhpGp7f3SPEsQGvWUNDnkpwIrZOJQaj+STzqO u81jQBc1d+cbRuq+fFEaDtEr0b1bByDfgqXxqhu6Q4u+dgmHJ7ePQlRZtwRnvs+i6f199Wxo CCy5ijlmvcM0UNfgc9x9PN17J6JNyUXN4qYDEumhtMaYP8LphgIkfZmOE11fOJHVV2dHv+7h xUQ6JXhyH9MBj2zYlop+SW7ln0YC25hwOaV14CdRvL6gcBUIIi8EKxNmHoec8HMc5IypOfke jXnTWjBztX++v6m0DpTjZt4EFvHmNAd7Gs5+Y/w7CDF4n5BwtYB9hnsqsIe7E3WN0bvLA3vL Fnt4l0527ZiUXkUZM2e9Efi1cwhC8Y2ibqpUWZAJdQUDL9UL9MDqB5jACGgE6jUmOTZXF2eB I7I1XQTgtuczaxNDmug4BnwLSDVctchppN9lXWk3dNMeHx1NkU7OjyikeNOeHh1FxsWNQvNe AW8axi9rrNOhYm18OIr1XSLkAvtZo+M6jv1WLRCR2c6BDC/wfZrSpakmDtVpkhvAEBO60AIm PPHzRcWXDIBqZujnTq4yl6EC6ZnAIzqT+bYtMku9rnq09/zf3csM0N7t77tvu6c3l1VivJKz 5+9YRB9klrqEZeByugrhIU2VEMxKgrfeluEpg38qhKiiFiyz6FsHBK7aDVsJlxKjQIZKmKet zeazB5BBArUzylQWkIdJXPzVQ0139WZIKIYqpbDivEu/YpcqrDB3Ld3Lp1+Ig7smqOIfFJT3 D0YLMt/kx0rPys8J2DI3foapnrVYt3oNNk1mIqzsjkcS/IB1dhws3d6cWYBH27S1sTb0qa4x Z+V4xxMpWaS5KLgWcInRA2a/ZR8MpxFEQo6rAmPiaDGyUrRxSwZli0UNomH15HHbpahViOr8 hhpjNQisAb3M04rrlONQ7t3P4SBSUwGAydI9pjRCzA5slKOkkTV6DsOrcQTvF68hrAa7NHkq S3B2RbPowt9RfzOnA1bfd6LMKjw2JexSH2ADh95gJe8SkO0GgEary4Iq0RrUmVVi9A7dt3dP q/EUSCAXkFU2H6toYMckllGBWCVFEaMjhv+fyAabCdfMKjUy/1hqlL/s/u9993T3Y/Z6d5u+ AvXKR/aU94+7wT8ga6dnUXeHkBZ63RaAfEmpiLiUKJvoPFHa0YGagY/rpiomJMHDFWQbrXn+ /tq7tdm/Qbxnu7e7n/8TpDZ4dJOoAAuN0I2+K0dWyv88wJLJWnAyleTIrAzMJjbhjHGLHyFu 6ydOOF35ukm3wcv5yVEhfJnT1FIFOiOIaSa3ogwtWW7iSWOC1Np/rdMHdOjwJ3mNbajSoqXt CuwjZqnXkwNV9fRyK2YklaJB2qiMpzdYKDIjAAVtfzy/vs3unp/eXp4fHwFO3b88/BWVbnUP xEHU4L9oi1+MoTGC2PCbVnCOUJGyroWMQHop7Pn50THFCbF0OQ9FB8P88LfikqW/AfuwrOUy LCKDbn5n3Wl8vLt9uZ99eXm4/909S+4Xs8WEMn0f2cUvJ7/Synx5cvQrlUEGwunFeRQlczKV 2q08+WrE7xdzw/tsSYDoK5nFFYZhfLQ1+bzfrvh7d/f+dvvlcee+VZ25xOnb6+zTTHx7f7xN ADQ+dSuLxQ3DQuBHnDztmAyvZZUWBjHdRGCx48Vm8vQ6upIT7204M5b3TPo+/64tdRQTVoo7 SpgosP2JlLu3/z6//AleJAgggndIvhKUJWzKWHLxN1g9RlsULNdeCTpxD8CDPgxox2/vMEJV bMII4sCVrVpeMIDGOT1DPxDEbw4BgQSpKnlMDZl9ARLtki397DgHfL6g3wPXBSvby6OT488k ORN86gCKgtPPNbKi3/Qg2C3oc7o+OaenYBVdLlot9dSypBAC93NOv7HilUx/L5Fxej4IRxTD VBvtHdYGv2WytKeDGSGsXk2Ln6qKifIbQ1+zcenN7lsINmEFO7oTwXqiwDng8SJKuTCk1tfo b7ZtXJw9/1wkejp7272+JZBvyRSEC1MrmHg7lnVGb2tO37qxAAmUr+KjIOFG4ke0Jv7IJV+g oNDP04Wcj4h+V32vp93u/nX29jz7spvtntBo36PBninGHcNgqPsWjNNdzRd+z+6fHYL0zEZC K7mWOl/Jgk7JeFJX0pdEjpHM/0rn0DiTOd0np218sbFNWU48WGX4RSHmcSeXkYk1KgP1mMW2 7nm74+gFK9v99XC3m2V7CDR8rPxw1zXPdJpbanxRdvqoGzWDsNhl8DkMTGxVlUci0re1Cl9n JySPlRkrkuLLwVLVfs5c1soFh+57NGL/+cbBoXC5+z6y7CrnAkd/bWu25wi2sR/HF93uj2B4 RKIY2hwA9Twp7xssN4Dtjfu8iHLxwWlhUVFWy/WEf+oYxLqeqE33DFgd1g0Dkq30mj5agE5B vRTJsv+IFCI9X9JFpaBCLgwlEnAHyhUBFv+7leEHhV2bCfF316aU1OPO4be9iNzdXzzI8HvC PLkuUXIx/jpyODKshIw/Ft8Hp/dOeSLI9Jlr1Yq5nKi00KDbnM5AKRsAeviBeQ9XEgBGNyzm C0k+0HRPau6h7ePx5ADu4wKXEo+/cxwzYk3tRIoFmfs0NrEsne9bo/FZ/YsnjE6xeQXzovyf Y3Df0diX26dXD8Vnxe2PKCxzU+gqmRQHlvj0AtermLFDAWbN1Kdaq0/54+3rH7O7Px6+j0M9 t6NcxkP+JgCXJVKK7SDIaWTS9Ufo4r6n06UZE0vdfa0RnQpS5mCwtla0SKfBS8dYTDAmbAuh lbBhYhcpqBFzBhhpIzO7bI8PUk/SdSb0idq6MePlxDrT1VwcXE5YAdXvUh4TbaN1u1bqLzHs iZdpF20P34JLVoFrODAohOom1WRsBz/Gxq2NlUWi2kwlDTppYPOulMAJubr9/h3Dt06yHURy on57h9XHiaRrhd9Q4RljCJRq0nIbPycGjd3rFk3rn+Au4ye4kKUQ5RVJwKt2N311QpF1Tk8J pgY/JmE2+uTLHY/Kfrm4Hp2a5MuuMbpVYeYntZ6oJsUTW10enV0f4jB8foKVIxN11MgCyOxt 9zhJLs7OjhYTdZq4ZU7V2XlKl/ZJ+F0KBT/h3QKuIkvu0ZhVWJqGxQ1Jf5+RXeMXL7TXd5MA HAZRnd4T/g0NN/zI5pvd49ePmH67fXgCTA/cnSMNrHM8l+Ln51RaDIkYoLnTT7exJ7SbGv9+ gft+ccqpDcxgAtKRjLEn51Q5kCMWI42tlr4pNo42S87L4++H1z8/6qePHFV2BMbjDWm+OJ1Y RYnftwnO44X0ra1RBIXgnfPlxAieEh+L6v7exLTcY+9M4FeNB6TYcaE0phM4gnZGAmRpCtjv OZO/sbBvB+ipD+imW6M0K+2qsP+BD65g2v85Fs5yqqxgoJvz89Nr4pTxHyPV/1N2Ld1t48j6 r3h1T/eib/NNatELiqIsxqTECJREe6Pjtt3TPuPEPo4znfn3twoASTwKVO7CiV1f4UE8q4Cq AoFQLt8juKlYFXuubY6zNNzPXN/otiVC1nCsW5yx/yP+D65gKbn68vTl9f2/tOTE2fQaf+YG ZIOUpA+YtppdUw6k0wffAUY+WPcP26pzBLgCFJcczXV2oskLo4muaQkovBo4v7HQLzGAihfy dJAI07ZA+D3qkf9chLMR+UlSQYWsSFPEKRloqesdlRYgduAReGjVeWITW8Ys17XjUHrA8z7L 0gXtYDHw+EFGDdR2qx5Xb2UAknMDXZZfl9Nlxfvrx+vD64u2MFYshxR0qdvWvAycEGk3IkSo 528Pii43qL/lFtRehnHjwvroBap34ioO4v68alU/a4Wo664qIBTYSbk8NM0tDjH6kG7ZnHNG 77HtJt92DqmEXeNFW0EvVF21bvgxA3VLU7BFGLDIU+RrUI/rHUOnMrRdq0R4l+nwEVTtmrp7 ydsVW2RekNfaNVodLDwvVHMQtIC2Mxv6oAOmmDQ4GziWGz9NNcOzAeE1WXhk4ICmSMJYUTBW zE8yTZHoKpANijT2aYW+5bbQ5AXogS3RGQLFoDXLF1HmTeXAgt5BU8LO2obSOkCrukuyanPX 0WAR4Ayz1vOybFF2/fb97e31/WMa3IJ+zrtA8WWZiLFFFEZV2n2nAJq8T7I0JhpAMizCok+s /BZh30eaH1SxTH3PGpkiINnTj/tvV9XXbx/v37/wkBvf/r5/B9nxA08L8MuuXkCWvHqEifz8 hr+qS0SHytfM0MEJLmcsT5a/fDy931+t2+v86q/n9y//QFFXj6//fH15vX+8ErEjp5bM8bYo RxWo1S6hpRmmw65kROHnAkPXO26WxNnlsSFuuauvqG80VcGPqYQ8OZztsqJaE+TjriWoU0Yb vDR3gQVeIhPFOPlf30bnWPZx//EEauxo0vhLsWPNr+aRNNZvzG4YS8VG2/iKvrbMOjUwXx+G g89d64wZUK3GUHisYNWgnViTCEE02tSmLtJWjuCSHJT3VSTD+sAMQyLRcGVZXvnhIrr6Zf38 /nSCn1+V6kzJq32JNzF03hLE0yhSDcoLGHQ7UIFEC2nrPFSaON+Vvfr2/cPZRtW2Pajm1/gn LCaqg72grddoTF1roptA8FIMCjfJwoPiRjuwEEgDqmnVS2Q8ZnxBU9lnDNLz17220ctEoCmX RDED/dyy/NA7UVbsy3J77v/wvSCa57n9I00ydaYj06fdLbBQezKHyyNRtfIoApUo3WBpkFqC m/J2uROGI2PxAw3EFMoeQ4HbOM4yR1LEFrPJu5slXe7nzvdSevtXeAI/obb/kaO+EfmbdFOv 1AA+tBxX1SNjV+RJRIYhU1myyM+I4sVQJCtQN1kYhPNlI094gQc24DSMZxu/Ue3YJ2q79wOf ALblSTMDHoFdW3LfQSo31u1O+Sm/Jb+VHbbQPXNVRDU/IrLtihBGVk8hpzryQo8sr+8uFFfk re/3vb5hj5PVsSPLecpMBwWDhVvxUgKHhHeHYiOWgumrFCLqzhgIr1KbWcXzFUuzKHGBaZam M9hCk24tFAUhWm+wWUGZIb5SY9zDcuhL4YrOqmtQziGP1DW+A8zWqi+qvSun5SHwPZ86IFO5 8IwHQ25UxTYL1SmrMd1mRddc+77nwruOtUYQM4JBUwMJXLvOtPHoYgnRpSIidxmrfOGFkRuL A1dLY8gtGKQXWnqTNy3bVK4PKMuuchWALpw5pbDZTPKAhC5jffhUdexAg9e73UpfmlW0qisY TpfqcH3Y3rm+76ZbB36QOr/RFdZBZ7rUyqccL5xPmcd1djITwfIz8xq2Et/PSAtUja1gsad7 eWlww3yfOufRmMp6nWNk6jZy5sP/uJBP1fTJoT53zLnCVNuyJ81DtbJuUj+gO3LTFa1zqS63 jR5XQOs9dBjp4t5zrNX89718/IKsO//9VF0eKGJpvDRWVl2W9v3ccnwCgcOnr6J0tgVkdJEN j0Dw3nDHqo46b9IHlR+mWTjbEhWIgZcWeBgJfE3YOdqcFYHn9TMrq+BwLIwCjOdAx+a7b86d Y0NnVa0FP9Mx5l7jWecHoWPYsgMPVhC6NwDWZ0ns+s6WJbGXOpfHOx5d/+IAKHb4Bkt1Pq5j WsLXWmi3acQu7hCLpYRmmEdLcN9U5n7JSboZEVKMM1hOWzvMFCVIH/4JMNS+jOtim/v3R35q VP2+u0J9WDtW1sYmcWVgcPA/z1XmRYFJhH+NJ4c4ueiyoEhV4UXQQWE2lDBJL6qWUVb7AoYu BNjMbJ+fTJI8CiOYgYQBXK0E+4Lizlu9wMPQIpPdWd6U5Hln8ff9+/3DBzp1mOf5XafpJkeX XfsiO7fdrTJVpT+piygjywRxordrXkt/he0KNA5yAG13dzuH7yLIFo6Tf/miFG3luSqPxmM5 xxtBkFfv78/3L/Zdnqzv8OCO3iEAZEHskUQlnLpt/qTyiTses4E4tMazTupjVCYgsZ1q6qFV Qo2brpWqe4hpGVLHfyrDdn8+cGO2iEL3GJGtKUcWsowhfp7jbkNpAkaf6msfebrIsu+CLKNk VpWp1vxyVaSprMVhhHa940hTMOFlKREjUNiuv379DTMBCh99/LyeOL2UWYEQGrriDmgstPwh WbBfalrqkBz6XqEQlbFm5vrJMSclzIpi2zseHxg4/KRiLtlJMsHAWpb7VV477HIFl1xtP3X5 NX7sT7BeYqvWfdInsy2P912XsukxDHgPC/tFTlj/5+C94w0nCcOkgcF8qQz4q+wxCvGquq5A HnHYHwwjC2UbP6TdZWAHkWH66cu5vSvqZNuK09tp86n2HW7UYqBRR0VtU53Fq02KfQWntvkW 46EctXBCCsK6vf6yDULi8J6KYcVhpi2TgsQcngscHZ5IclWdu0zv1orx3uY0xZc3ScIzvdrp 4ZNG1IiQNwFaJLyJzCMfUsBR9ZFUydgbZL1a1W3uqFl6rbpaM6vZh4uEvnLP27aGoedYOnbb 25byU+UWGQ+EPDMlvd0W3PWJ3MvQYxKdqiJDVZ/oET3Vm1N+pMZkW2RpmPwYjtSHVgF9yzxk x3iBZNYwoq9FhB3e45QqV1zLVp+mHZIq2qFBYuZRpIWDFiCOGl1FSp4KKNtSlYBUdHs47joT 3BpHD8W1XZKGDmU4GYo97SWH2BEaB0+Ie+oKb2yNLgzvWvVq30SsMwATd5ztlrURZxYWFjMm Cqz/9a3hly6uqIKCuCAMzNgk2NJDTAVlnQIqP7uXAain9SgopHEytRghiIEjtNszIDb8Lk+Y /3x/+Xh+e3n6AbMMq8hNMal6wn61FPdGkGWNr5+WVqbG7BiobZEv4sg36z1BPxyVRw5oCj1H 6VOkP9WIAGt0t3Wsc40xETqb2BZripgPzYJNMSqyaBkwNYlcoa6gOKC73em1b83ryo8dO+uI Jw7Nf8D7GbxZpTFtfybhzHdo+XzmG+eeOsgK2oJUgI3DVRbAtqp6elfgCwo/RnG4+WJ/ViyO F+42AzwJ6VVcwouEFjURPjpM/iRmHPEL2xgMNeXoYFY0hCUKznn+7N3Vn+gxJb0UfvkCg+bl v1dPX/58enx8erz6XXL9BsoCui/8auZeYMR+nFzOKq9KfM2IG8UYxsYaW3kdeK6lwtzIkHZT Ni1peMzXqeE6VO/0Ip8Pmc6ZHBqVxBwG06Jbm04NhYY0IXT/MQY6AJHhK+haAP0uZun94/3b BxnsIlCtVPVqSLvNGs+nnJXt8h0DedRW/HYff4slVVZBGQB68WVd3mhPcwyNaITYEJE0YJeg 7O14y9T5sTS/ghOl3dnM4EGTU9P6jGDBVfICy5L0udDOYZn9zgySdP813IOb+2/Ya8W0vFq2 HZhQaHhaWyG1r/j/sFNV5OMlCMLmsMy3RkUwEhhoCvWtTi7yFbpLmt8xzDuz/NXJORMljM6b jnrpGylS6ib1znXd6lSuBlZLm2g1+K7gL26atYTJFrgU8hGe/ZA9iERO5wFkALU/g6Xac+iz GPoLtt66WqPNOXXlhSw9eluYlRfz3pHi7nb7uWnP15/ZZOyMg2qwpJajyxhL8GOoq7yCdZkE veNwoCVDgW+YGoWLVZr8Jg7KWaVIDqOtHye/PKOlpxbpALJAYc5WllpmC2yt/v4n/GkHPRpT y9LIXM7QMehifmPFT1PAekVfSygsxCKroObWNlbtX/zh8I/Xd1sC61qo+OvDv6nTNIyL4sdZ Jh6GsHIueUSFq3ZzC3OHR5F0xkn5eIVkT1ewmMMm8viMrrmws/CCv/2vu0jHSMbv1KYrF6iF z/pE3K2N+S+81bRgjzInNJ/HyafqJLgKE+n5Q5AGzXp8gFO5UZU3qQjCB+bL/dsbyCq8q6yN jKdLI1gqdI90UXNrfRbkZkUGrRdg3wbewkqzOrmitqjfQ8ofGt/eFHY4uXIIuhysb7c9j6zt ZmnK7Z0fpK5SGxgYajTOoVsKPcguJx/7LKZFXw47Vz6O3o1918LE+E32HN7HzfSe70XnFfwf ZaVRRUQwypTwVtYrIjFI5arMOvWzrDcHHm+PxqBWXZZaJTDnTEIo9H0z7xPzkyLKVFWOf/bT jzeY6vaHE8adKt3poSKZtpRLujKPPGp2Bb1VnKTPF8f15dDZ8aDWZnFqNgjr/dgziV1bFUHm m7XrWLTgVRZTf72y285ogH11t9vmrhrZxlScbOsVxmRrw0VEWTuMTZUmgVn3fRF3sW5FIb5J mFG6chPX/epjDBM58O1xwYGFT90ZC9y2zRzoiXHsqA1bbn1ipQLyYhHZmyNIZJd6Zkbp5wzL LnOIfqKV63Pl8B2Vg20G3K+KMHAY04hBuVvlR3yxwPo0FNJmJyzsM34S0ROItN8ScBGGWWZ3 S1uxHSMctTGs9Du9ehjlFm0QMo9aAE/+MJP83/55lkdJk9w55nPypfbDbaZ3dLNNTCsWRBk1 /lQW/6TJyxNECluyfuzl/j+q3QCkEhokjw5s5CcQ1pS0ZjlyYHUdzaNw+MrrgnrSxAEErhSh 7wJC8hMEdC4cN3IqX0pa4mscqq+bDjiqlZWqxdWILD8HqaduHyIed37URXtOxOD6ZNRWEcL7 0LaqNqtS7Qfv21U+E/V3ELHyVTEE0qYahC9m/EVJVeKRZOOJHB6SyaDJrEHq7bJFFOc2Yja1 Rvcd9MCms6XWngMZW7/vqU1jzBBtiKkKDFuepKPWdo1TMl/4sUeVJRCiKJSCQQJZH8r6fJ0f 1CP3IS2araawrTgRoiaAZAsvtIFp6zKAus3SILXpup4x5b/Nr9XeVAr2ozglMhJb+oKoE3RE 5MfaxqhBC1otV3mCmJLJVY40jMmSQW4gWoM1yzBKqRoJWWJB9aXGEvip3WG8h891VwQL/bZk SLrvYCpQ3qZcW7Lm1ebUaM8N45/no27nIojyANA4xREGLPcfoC1QVlPSw3iVhr62GStI5NPH /xoL/c7gxNKgGwV1yKNxKP2nA4kLWDgAdfdQgEUQ0S7Wqw5aYN6FG3kif86FW3D4rgKixGUN ovCkFwtIqVZiBcjSZMk3WVc6wvGNLL53kWedN368cT72MPmqt3UpgrXY37dvQNtz3HNPX7J0 205Jlq5v58bSigm1wkqIzvGzo3BV1jUsDA2ZmO8IppOhxVbFNyC0U8f7Y0uCLu3Fa6oMrmYH a8ooZWKJwzRm9hCQ5udYQRtcg5bdrMgiO5AnD/x5kJlSr+vYz1hjZwxA4JEACFk5VSAA89NA HDg4fEsGpk21SXzHxeHYFcsmL6njI4WhLXuqkhVUga+qF/o6JsOiDzhexuDEsltHHpIY1E+F biEtqDDl9n5Aj2iMY5hf0zaCkoPvRDGZGCHHzqvwwMZN658qT+BTW5rGEQSOSkRBdDFxQn8+ h+Zrx12C/LlZjxyJlxDLKkd8Yo/hQJLRwILoWm7wmQZE92L4iSSky0iSiGw0Ds1GE+Ec7oos yOYEJTic36abcrsO/GVTjHIJsYsVTuNQ2WuNw0hiYnC4UysM1LmSAhOdCVSiPYBKdGPdZB5J Dclh2GT0Ma/CQAmvE0z3B9Dnl0pgmG+HRRyoHpIaEJHigoDm5qOwoiOaB4EoINp42xXi7KFi 2iX5iBcdTKaQBlKqLwEAvZGYTQgsPFKU5eeqC3qxaBvXMyRj6lNjbkoGB9t0PrnOAjA7qQAP f9ifAuSC7KI5m5pRWmlKPw3nBl0JAkPkEY0OQOA7gOQUeIRkzRpWRGkzgyyIvhLYMqSWKZBX 4qTvZXw+B06NNQ6EhL4AYl2SkP0DK5YfZKvMp463Jibme3T/cnf24ELiNEsplQSaNAsIoNrm 4uqMoPc9SQ8DWgHoipTyZR3hTVPExGzumtb3yN2HI3PrDjBEHl0XQGbnwrHKMcq2lJqs9AAn WUJdVIwcnR/QKtixy4JwXlY4ZSBC+5SplMqx8Fd2c3EgcAHktsGRuZUWGOo0iztC2hdQolm9 TBDMjA2pYAis3NCG8SOX5UM7azo3Dmb+iJvz0HFS3248n9SjrdfrJME8BBnIemDFgYrBUvmj T92+IkMkDYzDQ7n4CBgoQe35JF6stXJUGdd5tRex2MmPpJLwKPqsdcVnp5LIU2IR7tzh8DGk c9eKYJz9TmRASyr+z8Uyf/Kz/r+fUzYH8cAzyTXcGg7sJNPn3b76PMshgpPxahV17jj6EExs V5xXHaOym2YFsIaR16OJyfsXzT9RzQ1ZfqZaxWaWSz29J/gk1+DgohzcS4rhODaSt7tTfrtT g12N0GB3wj/odP/x8Pfj67+csZrYbt2p5Y81l2colO+NxpOEP8FzIR9x8er28plUGaqmp1Xe YbgB+i5J3IDMZC49yOw+uKuqPd4LUWVK28S5fFcnIk954E/miXpg2NN1tSfVLFde4GN+pdkq A7o65jB6YegCrtYgr6sGzeadrYkMKchWToZyWZyLMIscJfPztKw0y2Vt7HuwThSkeeYSg852 bRGQrVYe9rvhW+iJukwhbzfa5Ix8ZChfwzpoVLRKQs8r2dKdXYmSsBOFL3S0DJ4y+cFaFqgQ zSps2rlBJ+w89FwYiMyiBSYa1//80Mx8ezQ7YYQSb+bDoI9AWrFaeULTIDJqAJJjbNSzwWga wsTIGiGAhekyFe1B1gHFUbr8QcoyMwV6lqZr99qRgb5j4+NMLDZ3Vj1hsJYt6EIXVsVttfBC d3uiZ2geWNNM2Fex/Lc/7789PU6LO0bEVNb0tiCXlwptek+0ERBVUFtUroImZbyoptJcOVNP Y45Ztu9PH89fnl6/f1xdv8Le9PXVMNUY9rV2X6KlKGx6KKdQwwzmpfJstbAqef36/PDtij2/ PD+8fr1a3j/8++3l/qsSUhVSKUMQw+i22nMOPNei2uz4nfmYu41qwwDIyygUL7Za7/VpadHz cjbzgcGo5arazSQbYINa1ZojL9JkhFKoKXdHp979ttnoRWBiM01eJMeyaHKri5bvr/ePD69f rr69PT08//X8cJU3y3zqIEw0VZlnIT4cX2q1Pl7DKTLIiAZ5+jT1oznE3E9tqEmvYS04Fw11 4qSxaZf3AimVqJrcN/Cv718f+INE1jMVwzxerwapcJrbaxnrn1JREbTNOjiVhanv2zT9+J+/ O82NMx2Bs3myvAuy1A6prLLw6HvrusR1yKy9ADd1QQYGRQ5or3jhqQcqPB2/iadoptcpb6M9 eg+RpvP4kdzCRMlsJOoWlZiTFI9pz1WFgagER1wdJcRl/XuEmG3RfPUoCGllf7uF76vbXA26 gQheOPZ6BEqFPPMVA4fmOIvApkoi2KCwhSZg0xX88eQi1GmQGqQStfS6LZzW34g5XSBHPQ9L do5GwYbBR/hJx8/wuVxukO1Tvr2D+b2jX/5FDiF3me2bZW2TkdeOExqTiRIyGiDvEcukR1IH C129hzk9owLKTrB+5DXSM9IgWMLZwkuJVNnC8frriC+og+4JzaxMuyR0pxkUQ00juON+zo7X Vdb4Al13cIJtsY5httG3Xodi6Ueevcrp2c+Y4nK8Y24PL8EQe6Gr7Seja5V4A2qV2XL7bdwl 5EE5oqwsjMMFTq2iNDED1nGgifVj4pHo2uw5w81tBqPVWj1RnKcVzGUfX2pf1jWta4+xvTuQ 2uFLaWEY9xg1jw49jWzCCN5MjKZ4GW0zxcdLXoMGSR+TtSzxvdgRupBbrtFnq1M8PPUjLLP5 ibrwCKqweTMbAj+HdGhQ0llDidMzh3f3yLAgv0aBA6KWQLV3lxExwudJDNbUkIwbKk9X7OE7 IPlhpQVrFC4CpDx1+j/Krqy5bdzJfxU/zlTt1F+8qa2aB4iEJIx4DUHJcl5UHkdxVJPYLsep TfbTLxrgAYANOfuQitW/Jogb3WAfhecnwTWBpiiDKJjNFzygks4wRpk2nysd7uYAztyTdHFH eYRYMpAizrt2AJCezXiYFD6a3Qn6o4y8hTWCQPMWNg02eYSWzmjhYv5s4B0xGiZI9YgrHMvA Ei3seLR2zbTP7mPyZf1lI3Hu1DnjWLMjFeNVFx3ZULwQCAG0V9Gi+L50fIKZ2OHyXt7dow/M 2EHUT3ULGRMytQANy6PAPH01rBL/YW5XGos9CTXI0jJMRLez0RBLrJ+QuRqgjY4lv5uIeQyZ mMPOzWLCzmSDxdcXg4WgPbAmlVDaogivmeNknRiUFI4VzHixDBboLBBQ7CceOlZwBCYeXhuJ vddP0nAdO15MlgitWaG2RsfrBRgnmCQ78cyFYxOL9OPTgCz/NgNL49BRJwk6gtiZXEJcfq/m 6dI1QyWY4CKpxbXE5D27pbrZv4b1up4V19bAraDJJpguMR8pjUeI8p5jcjXr/QfqobqSxnRI 00WMDpOETG8zC0SdBDQe031rAnqB++rDg/w9A7hfNmThaDOAHDV31HiiMk1idEJjwvWECjEp 8uLg+oiAnOUHeI8qydJHpwoWsdlGUzw8ks32zrBgkuwMxaVzmy28vi1pMipWhBIgr5ZgSy8G Ei4ck3PucKp9BsgZkX5jWPjhzev9y2e43UYCMpANdlwfNgTCik017AmwLYjDZs//9LS4wgCq nHK0rXHRNEcisJKsufmNfP94eb7Jnpsh89bvEFXm0+Xx+6tMtz5ElVi/3n893/zz/dMnCDZj R1Fer/QuW7NWZSETvYLZ/axXQ7r4qYGCVtUdWxtxWAQxd7gGCEgmpz9Qjna89irxb82KoqVZ Z7wPgKxu7kRNyQxgpZAKVwXrrPoA1kLeJyE9FmAiJhOw428WOi7+ZgDQNwOgv3lC1mKvZ5vq RCsx0yoDWtXddqIbPcQ2PeDqQ/GarqAIk9WKuuHGO3O6pm0r5GddSRP0Lc32K2JVg4sJCvFE HHUoCdzYUVw1h1aQbDeLNaU9Lp7tY99x68WQBhx6smPVPMCLMaM/DyHtECMTGHXWtg5bVoE2 JS5swYN3QsX0F+hxKWDSZlaVCWeFGAr8a6Ocl7xzgqKfPXwzB1CsFLwWVajLvDCKG3sIxxxP rtK5l0uhxIVXB5Y7AsvBimIHJ8YSR0RSmL40XUQJfqrImeX0GYeXktwVbxMGorvzfGfJAnX2 BC7+AUIOll+JgTqCmcLQuXuuorXYLxw37ALf3bX4iSCwIF87O+dQ13ld45adAHdp7MjHAOuu ZTl1z2HSOvIcwlJyFpqRtrTilemwDO/r2MH6K1FtTq3K0+bYhZF+ryE7Wir8Bq2kYhJVdUmt JVGuRBegftCwZ7U1yfmWUvv8gIxVO2/pCFMup0HZOEJ8A8rFMjM1FAMuEzT8xriFnoosH47L qZVAzArCeR8R2kSKcL1Y+KHfmSl6JVRyPw026wV25SUZukMQLf4+mCWKLW7p+8c5MTA/jAC5 y2s/xBzOADxsNn4Y+CQ0i8JSo/fVFTNht17gkwxYtsc0iPD+nTpR7yuUVWzEHNz/sGrXGyO+ EvwGl7P9UZxkFb5WNR73Fq8xZcW+89H7QV7vK92eGn6eas5nF6smAjYdotEMdfwzCqzy0xAQ TSM1WWkS8pKo8INzaHub08YkteS2FMeHSfyL6BGHB0qfDsaI7AsYp3/vwRCwnZFVum2TLNoN JrMmsRQiXwvQrG09ceq8iSzm4l60E/UD7bmQ/hprO38dpFmDr91iL6xbCwPtAAJ58z8D36xN v+RPdZGfiMtbGOrT1tlp7artgbarmtM+3L1VLztaxkgcHnMVOoa3NOfHiW9W+zU6EaB/rAFr igDiPaJIqCFmr6zILWQwx+NKAYeYBd5i59k8ep83+3DhyaQGeJXw6pjUw3FOI9kyEYsvp9ms V1UmXkeFbjmfF6ZSbpleP5KcnnLe2EQvnlPtoKtQw9wl1SvUSz3craRHw3RWYsGdjuoAf+i8 GD1retQPzEhsI9lH/ToFmpUsDfzUbKsk6tE+JJGHfuDZpUsqdtcpZw8kjp81UlBTVG6QnZ/F RmgboG32XJ44ugVHT6fHrqWmaNIjJXE4jFbKmqK14/njHCfeoX73crv98GHe3TDtOXG4WFYq H9DSP/YTwFH0wIT3uUTRT6Nqm27r2Syfz3B0L3ANCqyIbLZOeEYaatKgy9ZCXLT2glLurayq SFZQBEKH105T1K8aM6OyvXyCa8un4OHiKs6i0OWXDjhn2ytnB+kYc+W5GWGprjtyXgDTPk1d IUN62GHbNsCu+AUA37qnpdglgsCh7wG+giSJTjQjC2+Bi2X9fuIMFAzz+Xi3oY6oCP0Wk7pH RcCxyzm86q0N3X2ijBHl13Y3T3dcu2ufk7YgVwZlI90unXBB7q4+rop3RMsZinfDqng3Xloh Gk3QoXfLXTzb1gFuSa020Jw5QoJP8JU+Vwz5X++WcG2XV0W4OXrp5j38SgEV9wJXXIERv/IC 7i0D96IDOHbD69KVnUHqEUKEuQq6dyGh1nmJI73jiF+ZVNJaMXWFxdYY3FXY1e3G86/UoagL 9+QsjnEYh47bOqUpUN61tSNkhFJ2nCm0BFyVviOrhjq5jluHvyoI8Uyc37lb9mhLGrjbLdCl +80SjdxPc+qwjZIg48nCcx+vvK5YdmCrK/167eZLCvqMpM6w8hP+zikpr6lq7t49Dkffd3fC XbnGPD22+R/ya5DhhizXClET1iEdAd60VHqiij78QP+MQ0NOapgt2ICrhK0BNXW2o5bc1OTy ZMosNdBwDegJSl8yEt0MyODbaV86WIMrs8GAGbJLv5CW7+rdvc9KdqO+n316fr1Zv57P3x7u v5xvsmY/Bq3Pnr9+fX7SWJ9f4LPaN+SR/9Z8XfoKQcICwluktTKVAWEOgM8kxxFqcjODG8JD 0YJZeQSrPJUiaVY2K91nocSlAffq2IkDPfG9JdxVLOGqjUj/rF98tu38ZfrLD9x1GYQGjOJw 8f9/JvJ+9Rm+K2SOzXj2gMV+7NbNBiz9kDkqkxGNi6VfgkL3R+IL6vMdvR+QqFg5XoIG/dVZ koUR8GVAdqGnR17V6FEUoq/bhTGahFtnsOIujUgUOEwQRpYii6zPDRbHqhOas632CXrGg6gI kCYqIMCA0C8izwnY9o0mfOXkGXlctwUjR+KolhFNS6MnCwfd0YrkaiME6jLU1NmOx9Rhralx BeESq0IUFPbtCgCUz69i5P7dlfECaYvQp+tTuwsWwVybF7DcYaIFeg2us8RIVcQB4cUp8k4A kuXRCbh6doBxDx6NKxDvJWjxErlSvsLfGzvBGHn+D3vsnHzXK9wWsR8g3QQ7KHLH0iOuiDEa S5K882a+6YrISmI5YqxdKwtytUFeKwbOw3n9OS/9GNsae2Au1OigYcutgWGkG4iNQEestAc6 Erm1CMXChBzgFkiBpyPcj97ZmgSPbQmGcCQeMvMl4KMD0a3JMk2W10otDoG/ICzzkU1PA/E+ 1RnQERkZAu+IdvHE4LyRBS4eEN9P6PwFt2UaeWjbAbl6ZgFD6no0waMragzYTgl0bDlKeuJ6 VXh9OQLLO7NQsriVyYEFj8OrM6BbhkDSRfjujtWzvbcBghmf4wOwzoKGszcYkN0B6AkqIEnE fZUxsKSujxvAUKnbUXQaNwRCtxLs479SbcGqQH4cPO07VtgS6ASjAM/2Azi9Wn4hblpWYtfm mjamlEuWz9Noba2Q2yyfgs93rdDVOlz+FowtuUXeulclauVNiZyUygau6/dfZHUQUy94goQQ pQQpXIJZuz+ab5Ck03ptt0RGbXYVw3U9VVL2oEGbtBUtdqyyywUrzxa3PlIwE7+w1AOANm2d sx29s96eSQNWi3YnlHpuMYp+39RVq2Jd9fSJhvQCLbmgOmpDC2p5mEvqB1FBZ/s2tFyxFjMr lei6Lc0ai7K6ep9t7bfs7lyDc0uKrm6saXTXyvhZJpVBdCG74O6WVVvUmFJVp+JMTOx6Nq5F 5ooDLlFqTeyCVvWhtmj1hsHknRXd0+FHg11vjAzmAAK53ZergjYk961xNLg2S6FjX8FvtxTM ZR0cUEdpxVbWe45fDEoWBmEB6rUjiziTt/li96Cu2V/ui44Ns0Gj121HdyapIRWEAStqfUfU iCcjiz08QDsCmdDsvm/Eciwy13xtClFkC/eK1kKDfZVYOw0nTNXTeAEnJd87QstJvKEUjK13 jirwDoZGbJLUqoIotSnsfaotmV2BTUtpRTjDPvXLckrSdn/Vd31h0wGi0a/NjI4d8JtOCdYN F+1z41ux2jCzJQW2e97Z9ic6dTbMtySrrR3mlrGy7mb7wJFVJeYUBtgH2tZ2dwy0a13x4S4X x43DaFX2tYwHedrusY/28pwpmvFMlrm8sXNZZhPXT9I9X53qbcZMe3ETn1kVApG0sOsQftpm xlEvsNn9M9CgHtrBPNKbzz+/XR7EwV3c/8STicPbmi1+blR1I/FjRtkB5QBUpRd0xSyWHCTf UHz3AVjs0fABAF+KwLAvZBJdzHJnf2u4UIifp9stmuu5LHVH4TKzMwY3ty1YtVGDrycqcW4Y f8HxH57/B0IQyYBRWtDBaZGCEr0nqHMFvBxSFGHlbSH9O5qfeCwaHue5s5Gn2xU3A3XA69i6 FA85nrBdpeULhPRXb08ZPqrAkq0Sh8kBoBCtjOfiLyfHXjSCxW1duAvpar5lK1f2buAodXu6 UkhNHcsQihWHSCYg5W+Xh3+xJTE+tK84WVPIhbUv52nl9FJ+ZdiGUuVYlI5+HZj+kod2dQpS R0yCgbGNUKfEit7CutJOIfilDGYw2kkGgho6SNDnF+iSeZWVsXHZOFEjw2JL0mUAAXx4JxzT 9QfUuvuWZJWyEmu0hM0gVKogiHsRzmsnyJGznKKJIiTo94jpbskTMUCIusbbE1PDsn4gpmZm iam1jhAbI0McXGEYogh0pEO3UMlke5aPxMiuvDhJPT/kizSyAOVgqlP0WAPGdMl9I2C+an8X RGagHknunXJd9e4yAo6aVlldkUVL72i3Z+4cPM7C6IdFrDt/MR+NMR6Pu7t3Xe7H6JqUMOOB ty4Cb2lXrgdURHVrFcqvnv98uTz9+5v3uzzY281K4uIt3yGLJKah3/w2SXK/2+sYJNty1j4V Xma21cGbutfL4+N8Q4CDe0Nbe1PpyadZlm8DrSvKtzUuGRiMZYeLqgbTlorzdkXJL5SH+sbh rFmDx1IymByBDAyeIaa23E1kt15e3iBv+LebN9W302hW57dPly9v4q8H6VV68xsMwdv96+P5 zR7KsatbInRkI/6h2RBSWlmzDVgoaQy78SdZRiEIIRMyrGbuT8U+cBJrG2zqedbuVxY0E2uB avEUdEOyOzuRuIQs4UzSynIoZGyBqkWZJw7zFIlTO++iDUf+FZilfppEuEnUwLBMHDu0Yghc 1qM97F+FaeBdZTg6LMHU01F4tXDROEd4B4m3qR9ffT663rTIZZau4CTAAyJ0mWmKDwRIERKn XtojY0mASREGKSgvifI2MjTGiToPdyPXpWCY+2qDa4Uyg9Gu8ARtDHazJVVF9RtiQCE6n0mp Nc1YWo3kevhPZRrBBM1MSAxx2KFaWF/+LWQU0DtF4eWmxDSOiUOryy0UmM08mHo6+qbhGVwe 3/L9Sb1i7MXsy+X89GbIwYTfVUKyPzqbI+igHWGjstqvB0MgzbADylszw0D8VlL1ZpH9MWe8 KQh2ybVnhm/ZHj6AouY+gDR5e4D7cdZqLjMA5EIonwCjNELxDgWM0zarHd6v8n0ZG67jnTwV 7fANSBbQ7rlDOYds0+sYdXmDeT24zEztBKrsLDkkh8urGAxMh1J8jonSgyswfdNl654uXdFm 1LI0B0kjD2ERetdCPps65eXh9fnb86e3m+3Pl/PrH4ebx+9nobEhgSW2dw1t0ejLHRGL33TV KoSOzOevY0IY+PZ2/3h5erQvZcjDw1koiM9fz2+GLEXE5PRiI6HRQArmJCNaT090eHvzjNjH j6rI0/2X58ebNzF6l8fLm5AchaQhampXK4n1dNnq94mtIVpXQ1oxgrQwK6Mx4JYIgsXIsyx+ p575DpWiSS9UKAyuJgz1/+fyx8fL61kFF8YbA4lVY7NkSXJ+/Bxw6xuqmjD3L/cP4s1PD+df 6EYjmK387Ru/kzAeN07ZCvGfKpD/fHr7fP52McpbpoHVRYISzvfMvozHn2L+Pzy/nAX09O15 PvNU1CGVoPf89j/Pr//K7v35v+fX/7phX1/OH2U7M7RxQm8LRqXl8vj5bf6WMTcUL/zlwkPS 3ClEv1roBMWIBAqEH8mP4VXkQWYSPj+dXx9/3sgVBSuOZXrdaJJExgoCQmh2HZAwlyqFLM2n 0yicEWzrooFsTStZ6/b87fkL6HSuOaOV4nNHSkyAbKnQgLxxOAe97eYP2JOePoo1I8PDj2Up /3eHpYIAj5t5I4S2ef/v9xeouGjNGUKbnx8+GxegartUIX6Qpfvx9fny0ZQLtqXDdptUeVvL 73G3cPFVt3enHRM7D24rb6Xr6alCg4ThqMBYtOz8pfHBTgfrKmeUZg4BaFNhOtKGn8BEFSLr 6MVCSAfHV7ey5jiwA1t6bFw3Lb1bmZ8+etLJ7YY0cEDN2hrv3YFnCD90lWnLcEV8wN1K9ciB 5vWY0LpZGR7qA2LlIh/ILbmdEw9s1doxLseukOkKcudHj2Maj4EQMIFiZMy2okfpyDsXA7ZD cBz+cnn68mxcNquZL4n8+fsrFgc/K3a8lSqavoEJKj10NlX+FJ2nd5zgXBX5yDmtJmmP3zCH t8VW3dkImeodhrLbO2zjBo6uxK9OaO+8D1Z42FIlrFjVepj6YTjK7d5UitALi6KjrVCFjCL6 MofvLuNWUZZ77apChR2DA+XycCPBm+b+8SxvaW74KCz2+/jX57fzy+vzA5qHrqPKGeXUQmyA +Snw8vXbTDjkgvE3/vPb2/nrTf10k32+vPw+ZY3ITeYxrQT4SGA12FdHduItQYNPgO2Tppg2 cqqvW+nrryQH9dPIWTJsggpSOdyUoZPYNGlJ9IgWOpOQqGH4SJWZmqbOAqubW67VCN8YK9bx JvAHPlC7EbOsYFN7T/RgXJnRY5dNN3T0xxukVXElF1PMMvmZGVZjAOygsT3d/EbRE+exPScg CPSAohPdus7uAanu86Zkp5LxbAa3HQTbnNeKl1FkZtnsgeErr+tLVN1iSjXT2whJzIX2vta3 8Il2ylYmebdmawma5P6uUuzeWFnqT/0qUXtmxioDDXOYmyOLr7Pw2ymqzyRbKKB/YC7WOLS7 VUk8XeURv60k6qsyExqCvGzF/MXykrT5wlBdFAmzEZaV7FRZp4AcmdUjIwb2CtdwIRLZ+O7I c0P7lASHpqcwSzbeHbO/dt4C9Xops8APzBwPJUnCKHIasQ64M0a2wGPUJlUgaagrYYKwjCLP Dq6uqDZBz09wzMKFHolYEGJfX6+826WBHhweCCsSjTL6ryrjYrvdyKQ6RactX1CPY0utTfwl ZggtgdR4NExM3TtZetZvQ31K0jQxfi99E1/qX7YgzHWawgap7dcys4vYUBR1unlhaYjm9ym6 zA/1z42wUy58M/i/IAVo/GpIJK9CbU/MghT62Cc6yEv2wRtrPD5RkT3k+EavhY6GzxekYsiz Replc5ruUKVoQlEL0jkx5cZ3154cezz2Y4vMUytUypAJoMTzQMiMAMHU/T35sI69Rd9qNSW/ vnwRYsdMJU2DOJ7te9nn81dpZsRHvV8TNwsittltr+jjKhv525GG4PBBZRJQAvXlY/8GecWm fEQ18yu4DuTThYI/mS/zZnhwfMjc03nTP4ebgPXbolk0jhn+FBbWby3G1YxY9Pdq+btuAaJF jF3QQkD72LhUigLzXi0yYqfD79DaJgQFO0EEEC19+EyqGyz3VIsQWISFcT0SxX7Ymn0CxNSu R4JmfwAgNpuQxKH9qGunC/Sr0wwu6Il1S5OmqKdnGfuBvlbF5hJ5ifk7NROciy0lTP6vsmNZ bhzH3fcrXHPardqZ9Svp5NAHSqJtdfRqiYqTXFTptKfbNZPHOk7t9H79AiQl8QG6s1UzlTYA URQJggAIgKGrgQB3SYobtepUtwbP8de3x8cfWqO3mVsr233hNZuDDZzSaWmr1aNVmpS3pFeH 3b/fdk8PPwb/43/RiZQkzb+qLLMtWGkx3R+fD/9K9q/Hw/7Lmy6BbLonnaQeia2+37/ufs2g jd3XSfb8/DL5OzT+j8nvw8tfjZfbDa6WTo7X/+nwtJcKgma26tED6Rxb7XUnVQuW3NTN8sxS +Nazc++3LUc0jJIf69u6DGhqEhVW5CTa1ONGRhBr9+BZCdnd/Z/H74Yk76GH46S+P+4m+fPT /ugK+RVfLqfU9qsw1ppFe2Y6o1799rj/uj/+IOYsny9mhgaQbIRZe3cDu+PUvE5jI1pT9DXp B0tDw9/zQftKgXuPGDvzuLt/fTvsHndPx8kbfKTHNNZ9Lhpk6/Xp7NzR61M90cTYaKQ141f5 jSnx0uIaS+WdT/GSF8ugMhG2hm2iaMUcmQO7b5+ym9DRwCK9+uPEx8BbLKNlDUs+gcq6IFPy WLbABEJjOKukuVzYMVcSRqeURZvZB2uFwW9zKuJ8MZ+ZmcgIMIU6/F7MLccYQM7Pz6jOrqs5 q4Bj2HRq+Y3lmcVsTm1dnxqGdWjG99VVPT2zN41eLQiHQYraChSElbNcWnXuykrAmBkkFbx2 PrVhTTqbLW17ZLEwb3IRcbNYzqxFKkEfSI1X91oez5zbxzPLMzONsm3OZhdzwyl0HRfZ0kk+ vuY5aKQffGmQ33972h2VLU1IhCudMmj+tq6ZYVfTy0uS97SxnbN18dG3wREcXLAjhbVqAbKw L4oCU/ZsvrS+VItk+bQUxycGd5PHZxdLM7fXRnj57A6aOnlKnx7+3D95A/q+U6JUHswLXtdt JSgHiPmRGNBlOF6snfnl+QjydT/6SEaPRjO7CGSYosa1vCBvSQTlarbwdLGzQK68qDLYeua+ JnLYvaLsp2RclFfO8XO/y1Smhgk61czco9Rv714vBQ3cSFplC9XGSN+cnZNMjAg7N1nzl0w/ pCy/s6VdiXpTzafnFJvfVQxEpWFpaoCtr/RAo/SK3Cae8BCW2iqaxaVt3+uRf/5r/0ju+lma sBpzZ3h3bXpPbi5VAXLFubvHF9Q+A5MHnJPmHaaf5WVctnRuaZ7dXE7PZ6YZn1dTM/BBAE+b IlX+nlt5FoWgi7pe5zyQvGJFTMOPIRJyPOEAIAaJrQTlxUesf6ejgp648XUk0OcqQSoZW35B WzWIF1vKWakxdu5lWn+ON6mRHsrqvFunspZIV9QfZwNhheWonZPOqMQMbLxoPRQKiZl4LIOn y1gwqlewKrhAx6+oSzw7NptXOCY2H+gqZgof8TpL6RwyRZBVsVui1qHIeRPIQlP4Km0Eg3Gi Xe2KpiljPGw+RSHyQCU4jcejIVo8pjoEXFGeaOPutqBKO6/sq2rhZ7diVzzhVEgVYmGXuE5Z 5j60rXHVc145p9YGSbwBnpD1ypUc2dxOmrcvr/L4bJQhfREzQBtrbXPbVTesm18UebdRFWRH xjaRbRPRIxnFeXeF90wiRfAwWR5rOVf1DrtUZG9aUSjNCTDAWcN37g6/Px8eZTjOozLF/EzE mlnLR2zaIsFq4pkfVjmGYvQLU0VbWKqUDsCIUmwGFhm1a8BcdImZe1vUA2wx/3B+McBBIprF 64X9wyssD6CmbGt9P2SZ2WWbRywZ/z/YRBhXK6wU7x4WGPcBvRZG3vMAbUho3rQEtBIp+WI6 /Fiubus2KePseVwljgxQj+4PjzLkwDuqRHHboLEGK0rATmhH7Q1I5NcuKXMWEHQ8IW+m6m+u gonNWWU2nfAs6+qopRgmTiKbT9MmbtIujVYCmizIN227eLX2N0oT3oeD0mEoZbnOOBnsokcQ w5mkEDGPvGOQyrzbYga7SogYZ3mFsSlNegMIoxAFv8GYAiuvQUO6COM0OvtqqBT6hGAVYTro LkWCYSy3Afyq8e/+ShSI5GeJkUfoRhvMb+NzW4pAqDliYpGRSNaKctUs6XsQVi3WubDmLG7J yw3Ka9hn2a0i1pGWD9+ta9MaOR3mQKj5wRy3xgdvYFct1zWz8p16pLcGPYoy+sRj2N1TIii9 et29fX2e/A5c4zGNvhTC2lsQdBW8/VuicQMWpF6F2IqtMbKkSJ3wJokEzSFLak7Fv13xujC5 0Um6AX3X7qkEjIxNawuS5oYJQR/rbNo1F1m0or1DGiu/iOiw+gPt2/3CiAa5HOADBM8pViu4 gIV6ZVIZm1Jm/+jTsj7+sn99vrg4u/x19ouh02eNLIUmR325oC+4sYg+vIvoA61TW0QXgZBM h4hWTxyid73uHR0PJQs5RLTt7RC9p+PntDvAIaIrSjtE7xmCc9rX7xDRNoJFdBk4NbCJ3jPB lwFN3iZavqNPFx/C45Q2JfJ+R2eSWc3M5u/pNlCFmYA1cUrbH2Zfws/3FOGR6SnC7NNT/HxM wozTU4TnuqcIL62eIjyBw3j8/GNmP/+aWfhzrsr0oqMl+YCmAzoRjXlhYKwF7szsKWKeiZQO 5RlJQD1uA9fvDUR1yUTogs6B6LZOs+wnr1sz/lOSmnP66r2eIoXvYgUdGj3QFG0g5tYavp99 lGjrq7ShC7whTStW1iqWasrV7vC0+3Py/f7hj/3Tt1FFETXm6aT151XG1o0bCfty2D8d/5jc P32dfH3cvX7zc+/UjVYymtdQW0E9RhmQoaZ9DZZOv8UuBz86XkGrnwUDgRnWXn9Pl1WwI35+ fAEN69fj/nE3AV3w4Y9X2asHBT8YHTMMD7xDKy1WNCPxgkWgU4MNUAAp3tPGBKcsDk2Yt43A GnJmlOcKVErVxMfZdD58XSPqtAIhh/683FJeas4S2RogiVe1BWjECT4FlrqtN+J4ltuCdLmr LzW1ObCEEwxudPqrCBtQZlMMH02bnAm76pmLU+NTFhllUMgiRVtWCD0QVSkPCBp3gDTctgpl l0s027ecXckwTCfTfjCC0EsIepyZbmkAh7x6NVEfp3/N7O9FzVcmqf1trNoySXZf3r59s9aC HGN+I7DSnJmVqFpBrCzV73/GgOp5RfeIVvHxLTAieClCQWVCjG0Cu6zcbihbpPE7oREwg9nK TZ8NkK5ArL2DTIbqk9nVFhmq3IHednXcSp4M4WH2YfJBe2gLq6SYTWWP7seZ2+EmY2T5LryO S7NCzvMM2M0fvh4T/Ez0y16B7Qzz4vbvOvcheD2fY6QOKPOC8gFYraUI9jDuzaoKrLOg0sK8 7tr4UNlbNKRXWbn1v9ZCh4ZMLm8cF1qKbFSaszrbw9U0wTietxclmTf3T98scYzOi7aChwXM ZSAMUCHBMCzWWB2ZmoztZ5A4IJiScm3LxwLkAQiusqzIkxYT312zrAVBYSORzctWAHiUhvDl ie8gsLC4wRhWNcIcL4SiU/zDi4QWyvj2K84ry7/TJ8mo5tQJG8ZbDcJr8vdXnVr0+s/J49tx 99cO/rE7Pvz222//8DfDWsA2JvgND69mzIKz04g0w6nnXPB2qzCw9sptxUyXqCKQrq5ebg5K A7Ce781CgHWFqXwWv95nYE0b/Iy+MEnGzQbHZzEzkVXpIC0tgSrfCzwKmhbvXFlKKk6msxqm WSIJGaMEWbDT8L++8tPrcmpmLekdIu3B7uKmvVkKKZ196Sl5Htccr+JJWTYwHYhvcsOU8whI d2pR3Ne84qhRZaYnv2J1o9CjTtAPqDHelsqExCCoQhOB+FPPmjjJpXg+jnKTPtsin/g/yWPY SIqWYk6kx40OuCTLBokzn1kf4zIPAvlnolaJM7UgGpVCVYdUqX7yO17XZQ2f9Umpe5YkzWky 2t7gAk943v+A0tSGF5M0GbBNEd+KkhpBdF4bi8wvM4Q1KyXK4C25na3aQum2p7HrmlUbmqY3 TVb9FIWR3TYVG6x/1rjvUehcqjpAEFuFciUJ+n8leyClXCduI7F+ULVirCHZa3mi7nRRvTW2 JXuNUtBNpJKhw5LeEs7wB8Q8MDh8WOyPj9GUlPZbIGSV/X6rvf5Y1m1IE/rz6g56cDpBJjfl ajXCne1cwWmP9BZ4jyCwutDPT+ONe1OwCsuZBRG9lUMMDu+imhUwsiBBV2nmFBqxcBx4vKA8 5j2aFbAgUfbq57h7BKGogMV6PH3CrV4aHA6l0fjD3MIbIq4YKXTK0ePJbSiwzH6+wgae0N9Y u+zjrbtRMOm5FQykeeVtNuPxQ56WkpRmINiQh4p4Ia1BLukuAhm3yVlNr0cLPe4EBsFPe6o+ iBdtDgKhkochgR5hq2o2+sRUteu/PUl/i9i9HtW+P7aNex1qH11TBm47jEYRDTpWcPeOBBih Tla2Ut7Ol4N2Zp1L4as3/CZpc2p/ULuwkCO14VlluSMk8gqwwkwNl1DpjFp5L4pSkZPRGxLb tnaYhATWG9ZsBFqq9LTI/rOAAw/1pzThsmj0bHG5lBXDguqHLDAGemDIQpHv6k+6nQ9uHb8b 2HnuUDcM00QoPjbsw3VihbHg75CrCOtZt1HDCmgZPim9k0LIfHrwKPWERdkVbUafPkqKU+8C 1QQrcqWN2pK4fQ0H8AjYmoqGaAXLQGhtXLorW0Ngc1Znt9p/abZpwrskWlOMI8tLCOReJ9F0 RLiafl0mTDBnkWidz8prTMoW2M7zPdmGZhatsraxA2FUGQQRCByVsz0IPn9rxswqZKZO3Fa8 m95cTEfb2sXBJMxonGbIOY3FLe/jwuyyxuLrqGCHEW/P+4BQ7yM5a6AJbLS9x9Hqou+PUl5u VrNAsee4YieUerytPcc1AgZ56voKnTeB7A5cbaKtvjw97RhE5tM+2UC506qFJStFcyBqqdk9 vB0wjJfwxePNKWSrDY/bOhW3WDuvkaGFclmepKVUEY1auZqyDBEsQBNqZZW96lb5IuyaxKM0 88hNzvGQJzhj/C6z6KmL/fjLL4N+Xd9WYth648OPl+Pz5OH5sJs8Hybfd3++mLmAihg+Zc3M JAQLPPfhlgPWAPqkUXYVp9XGVKBcjP/QRhUQ94E+aW2ZFgOMJBz8vV7Xgz1hod5fVZVPDUD/ vQ3zYIklMzWQxwl155HG5qxga6IfGj4nGkTm+mmDXZI20hfe+65sqvVqNr/I28xD4F5KAv1R QXf+55a33MPIPz4n5QPc/STWig0n62b1BMBVWlvzvyVrucahlOpXCHs7fsc0kof74+7rhD89 4IrBSMn/7I/fJ+z19flhL1HJ/fHeWzlxnPsvsu827ik3DP6bT6syu50tplSml6Zs+Of02muV w9MgvYco5UgmzD4+f91ZArJ/W3RilGLhj05MzD43i6loWFZvPVgFb/OAN0SDIL23tTRYdVmr 1+/DFzjdyZnf5IYC3lAvv87HTOhk/w3sDv8NdbyY+08qsAqspWYR0fQebBDAiGSwak7MQB2L 2dS6+LJnHlL49Uzjr5VkSfQyT06wF1hEG8Yz/OtLqzyZzS+IFhERiNgaKUI30o8Ui/nJNpoN oxKURiy8gegcIM5mVILhiF8Qj4l1PSPL6/eCqzqTaZdqee1fvttF1fptz2dzgHVnF+ckvEiD vMWKNiJT+Xp8HS+9NiOwR1YpwTI9wrt3omdBlvMsS/3dKWYYnxB6qBE+EyKUmpeENPk0ciX/ Ek9dbdgdo+In+tlkWcPmU68XGk6OfC98KebhZLDGgK0rq6qXDe+ahs/JNwruj6zYluRUafg4 6B6naoKzC6JiyvPjC6YcOnUShilYoRf81KLL7ui4Fo2+WJ6Ud9kdVVFkRG4GOVzfP319fpwU b49fdoe+0sPeLLsyrIMmBZOGUu2SOpKldVoaozcIbxAkzvGUECTUvogID/gpxTsy0VZyNHtD 9ZL+lKB7xiVstKL5LuI6YMK5dKiSnyLcbH1uwgIGv0tl6FXeFfK6//akUiJltJR1bCfNnSsz aEEHGaR3zD0Nut6UIFYKTvkTFA6vFmz0xWb6QgezgWzd0p6/KC1YfTv63XT+6JfD/eHH5PD8 dtw/mQpGlIqaYyly+764wXIb8ZSXUX6XGUXRHz+AuVnEYBWu6jJ3EiNMkowXASwMjXsxbI/C DBb0vik3oo/Huu5pmZsnAT0qCDacpL2Xa4WCX97QWGWprUDHoOgCz1ugmSPy406pNOQig1eK trMbWDhWCypOJ30LmiRLYx7d0gHGFgktmSQBq7fMvjFQIaKUYjHAmRcDpZGvPMaW1oR1dIUa WRDqFRNU3f2Bp4qkzI1vH5u9w/oZaSFFuPH+u1K2al8Oi9CEU3CQwST9kqS/uUOw+1tbTDZM 5nhVlsTVmJQFQuk1ntWkp3RAik2bR0S7eO5PjaFGR/Enr5Ous7P/4m59l1YkIruzbrcYETd3 AfoyADfUtci88rRmSYonq5yr9VbWiX1G3ODCNVMbFQi9pZ21oKV32uruZ0M4FRlm1Bhsmt11 gplGHbzZNAOSxDqAS+vPaHpQhkxepc71KQ2GZWShYsCYwVpSDQ3iB0ikiUtIJnk1Q+9s/h+A U7oR62YBAA== --Qxx1br4bt0+wmkIi--