From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S932737AbcDKNZ2 (ORCPT ); Mon, 11 Apr 2016 09:25:28 -0400 Received: from mga04.intel.com ([192.55.52.120]:1705 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1754992AbcDKNZY (ORCPT ); Mon, 11 Apr 2016 09:25:24 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.24,462,1455004800"; d="gz'50?scan'50,208,50";a="952525562" Date: Mon, 11 Apr 2016 21:24:03 +0800 From: kbuild test robot To: Matt Fleming Cc: kbuild-all@01.org, linux-efi@vger.kernel.org, linux-kernel@vger.kernel.org, Ard Biesheuvel , Tony Luck , Matt Fleming , Mark Salter , Leif Lindholm Subject: Re: [PATCH 1/2] efi: Iterate over efi->memmap in for_each_efi_memory_desc Message-ID: <201604112150.cvcV2wEO%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="pWyiEgJYm5f9v55/" Content-Disposition: inline In-Reply-To: <1460379809-18490-2-git-send-email-matt@codeblueprint.co.uk> 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 --pWyiEgJYm5f9v55/ Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Matt, [auto build test ERROR on efi/next] [cannot apply to v4.6-rc3 next-20160411] [if your patch is applied to the wrong git tree, please drop us a note to help improving the system] url: https://github.com/0day-ci/linux/commits/Matt-Fleming/efi-Delete-global-memmap-variable/20160411-210837 base: https://git.kernel.org/pub/scm/linux/kernel/git/mfleming/efi.git next config: x86_64-allyesconfig (attached as .config) reproduce: # save the attached .config to linux build tree make ARCH=x86_64 Note: the linux-review/Matt-Fleming/efi-Delete-global-memmap-variable/20160411-210837 HEAD 8fc82e8aa63ce89d26d143cce41530319212f7d8 builds fine. It only hurts bisectibility. All error/warnings (new ones prefixed by >>): In file included from arch/x86/platform/efi/quirks.c:8:0: arch/x86/platform/efi/quirks.c: In function 'efi_reserve_boot_services': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ >> arch/x86/platform/efi/quirks.c:200:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ >> arch/x86/platform/efi/quirks.c:200:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ >> arch/x86/platform/efi/quirks.c:200:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ >> arch/x86/platform/efi/quirks.c:200:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/quirks.c: In function 'efi_free_boot_services': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/quirks.c:254:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/quirks.c:254:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/quirks.c:254:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/quirks.c:254:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ -- In file included from arch/x86/platform/efi/efi.c:35:0: arch/x86/platform/efi/efi.c: In function 'efi_find_mirror': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ >> arch/x86/platform/efi/efi.c:125:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ >> arch/x86/platform/efi/efi.c:125:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ >> arch/x86/platform/efi/efi.c:125:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ >> arch/x86/platform/efi/efi.c:125:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c: In function 'do_add_efi_memmap': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:150:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:150:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:150:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:150:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c: In function 'efi_print_memmap': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:229:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:229:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:229:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:229:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c: In function 'runtime_code_page_mkexec': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:550:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:550:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:550:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:550:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ >> arch/x86/platform/efi/efi.c:547:8: warning: unused variable 'p' [-Wunused-variable] void *p; ^ In file included from arch/x86/platform/efi/efi.c:35:0: arch/x86/platform/efi/efi.c: In function 'efi_merge_regions': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:600:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:600:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:600:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:600:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c:597:8: warning: unused variable 'p' [-Wunused-variable] void *p; ^ In file included from arch/x86/platform/efi/efi.c:35:0: arch/x86/platform/efi/efi.c: In function 'save_runtime_map': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:650:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:650:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:650:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:650:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c: In function 'kexec_enter_virtual_mode': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:829:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:829:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ .. vim +259 drivers/firmware/efi/efi.c 253 * physicall address, determine if it exists within an EFI Memory Map entry, 254 * and if so, populate the supplied memory descriptor with the appropriate 255 * data. 256 */ 257 int __init efi_mem_desc_lookup(u64 phys_addr, efi_memory_desc_t *out_md) 258 { > 259 struct efi_memory_map *map = &efi.memmap; 260 phys_addr_t p, e; 261 262 if (!efi_enabled(EFI_MEMMAP)) { --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --pWyiEgJYm5f9v55/ Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICIWkC1cAAy5jb25maWcAjBzLctw28p6vmHL2sHtwLMmyrNSWDiAJziBDEgwAjka6sCbS KFatLHk1Ujb+++0G+GiAoBIfbLO7AeLR727Ojz/8uGCvL09fdy/3N7uHh++L3/eP++fdy/52 cXf/sP/3IpOLSpoFz4T5CYiL+8fXPz/8eX7Wnp0uTn86++no/fPN8WK9f37cPyzSp8e7+99f Yfz90+MPP/6QyioXSyBNhLn43j9u7WjveXwQlTaqSY2QVZvxVGZcjciaq7zlG14ZDYSGF21T pVLxkUI2pm5Mm0tVMnPxbv9wd3b6Hpb7/uz0XU/DVLqCuXP3ePFu93zzBbf04cYu/9Btr73d 3znIMLKQ6TrjdaubupaKbEkblq6NYimf4sqyGR/su8uS1a2qshaORbelqC5Ozt8iYNuLjydx glSWNTPjRDPzeGQw3fFZT1dxnrVZyVokhW0YcpgWp5cWXfBqaVYjbskrrkTaCs0QP0UkzTIK bBUvmBEb3tYS71DpKdnqkovlyoTHxq7aFcOBaZtn6YhVl5qX7TZdLVmWtaxYSiXMqpzOm7JC JAr2CNdfsKtg/hXTbVo3doHbGI6lK94WooJLFtfknOyiNDdNjRxq52CKs+AgexQvE3jKhdKm TVdNtZ6hq9mSx8ncikTCVcWsoNRSa5EUPCDRja453P4M+pJVpl018Ja6hHteMRWlsIfHCktp imQkuZZwEnD3H0/IsAYUhR08WYsVC93K2ogSji8DCYazFNVyjjLjyC54DKwAyRvJ1kyzChec yctW5jkc/cXRn7d38OfmaPjj3Y7TFmY7UUOtLuvwZB33tWlesKW+ePf+DlXj+8Puj/3t++fb +4UPOISA2z8DwE0IOA+efw6ej49CwPG7+Bk1tZIJJyKUi23LmSqu4LktORECd5xKZswQ1qyX hgFrgHxveKEvTkfqvFd6QoMm/fBw/9uHr0+3rw/7w4d/NBUrOQoKZ5p/+ClQk/CPU+KSCrdQ v7aXUhE+ThpRZMANvOVbtwrtNCeYjh8XS2uJHhaH/cvrt9GYAMuYllcbOAhcWwmWZVSOqQJW t9pOALu/IyuykNZwTTgAmIoVG9BAIEOEmIKBoY0MJH0NcgfMtLwWdRyTAOYkjiquqa6kmO31 3IiZ9xfXxIb6a/px4YPtghb3h8Xj0wue54QAl/UWfnv99mj5NvqUokcGY00BCkhqg9x08e6f j0+P+38N16AvGTlffaU3ok4nAPw3NQVhaKlBBMpfG97wOHQyxHENCItUVy0zYMuJ9spXrMqo 7mw0BysSqLzgiqyQWgS+C9RXQB6Hgr41nuK0QKM472UCZGhxeP3t8P3wsv86ysRgjEHErEKI 2GlA6ZW8nGLQRIAWRor4sHRFGR0hmSwZOBsRGJglMBaw+6vpXKUW8Zd0iLemtcrLx4CPl4IV MSswtZlnRnTNlOb+u1L03bRsYIw75kyGhoeS+EqSYjbgQ2ToQhQMLfNVWkRO2yq1zeSWBz8E 53N+7JvINlGSZSmjSitGBp5fy7JfmihdKdFMZM6zs1xk7r/unw8xRjIiXbdg1oFTyFSVbFfX qENLWVHtAkBwVoTMRBoRcDdKONkZxjho3hTF3BAiSmCGwchoe5zWlNjlg3P0wewO/1m8wD4W u8fbxeFl93JY7G5unl4fX+4ffw82ZB2yNJVNZRyfDKvZCGUCNB5cVJshz9l7HWkjW0h0hiKY ctAoQEhOMcS0m48j0jC9Ru9b+yDnpwYTWcQ2AhPS36Y9LZU2Cx25adAqLeCIF52Cb7qFC6Vx jUdhFzkdBOsuipE9CCZnFQRkF2enUyA4HCwncYjDgEQFPNCvs7XRlT/92sk+nKqQF0cUU8k0 wXv16Xso/KfymNJDXnMVN2ceFfMZ2CPCUwTNzdtEQugc4RH0eyAYq06IPRPrLh6dQCzXUK8F Z8hBm4vcXBx/pnBcGcR3FD/4RtYwNeCZOU8LYpnMKZE5/7tqIO5LWMGqdOql29AgQUUK0zQV Ro8QHLR50ehZ1x+c8OOTc6JXZl7gwwdPgVe48oyo5aWSTU1ExoZMVgBo1gAMe7oMHgPvYoRN 35IU6+5NoS8dw7jn9hIiUJ4wergdxh48cS+YUG0Uk+ag/8H3uBQZDbxBYcXJHbQWmZ4AcxCi a3okHXwS0gH/QDBFTxRYD+fsMJMZMr4RqSdLHQLoUUNFuL9fKFd5ZDrPzMMO07VNE6AZMF6m B31GMPQpDX4a5FoacoB/SJ9hC8oD4M7oc8WN9+ykBGOA4JrBtOcYodaKp2BZs3lMuyGhgPLT DshAcII2plFkDvvMSpjHOR0kOFFZEHgAIIg3AOKHGQCg0YXFy+CZxBJpOgTp6GQFyY7QeQZt XsGCZUYvwukakR2fhQNBOaa8tlmLQKN3qR1dr1VbF8xgDo8cVU24JTRTwZtK0BYC75q8HBi9 RBs58cncfcXAuNoJfA1P+qrUU0gbpWtZomXRgDGAJXsWaaBIIIYesmJU9IDvvWiZSAYv8tbP fM6fHE6PDhdROrAekuHitfS2LpYVK3LCj9b/ogDrd1IAXE/kDFdeAoIJwnQs2wjN+zGBjFp9 T6evU9H+2gi1JoQwd8KUEvSabW4to+LouGrMG5M5EQhvazdln1+yDlOXy673z3dPz193jzf7 Bf9j/wgOJgNXM0UXE7zn0ZOKTt7lrqav6B3P0g3prRXVOUWTTBRhl7+12ZNB1eqCJREFixP4 ZHKOrEs0KiOYz/uGlzYGajfg4OcitXlGzyzkovCMtpVmq6upbPAtTwNGlW5wBNIdiRXfuqAc am/xjYFVKRyTkleHmbFfmrKGoC3hdKfgckOMtOZXoAJApvz8EGjBcJJuVoiR2jzQX2MqbgyQ cNm2+gHKAaQKbUmKAUDkOiwtz+GsBR5CU/kjAp8KmQrdSPD0IbDwfJm14pNlW8MH8EZV4MIa uFF6VC5DCpeEXhwMDbMZk6N00Mh7unuKw984uzFpYhErKdcBEmsQ8GzEspFNJGrWcLkYa3b5 gIi3Ckb5CpwGjM6tIbAZyuAtii9BY1eZK+h0R9+yWgR0aRFbH9CFgmtxq0uQXM6cJxPgSrGF Ox7R2q4htKR/fX20NAbSEMNGJu4VlOo2nDVlmNO05xeTna4usnHSp1kOx1LWWIUJZ+gY2Z24 ddLD43TjXOZ1BpfJZqaE0SlHdPZc4qdP6UZoZZER+thWNU+RoAW94kURc3C3yNQdIAoPx7y3 5xGHyJhTHNJMYtQpBdxnUzAVDUOn1HD6MpqxcBsA0eJbY8Vv7el1i57Jk4QqZJohmRHxClN0 vCs/RRjC8RaWpsByRjlSy9y0GSyLuNOlzJoCFAwqR3SQ0KeKLJFvQR+j04opUcMmATDW+uxw UASynFb6piXaYAIfN9Z2I6NJYXZuEkpyHlxafdXpOwi+Q9l2Et2lKz1xQCEAJ68rD5IsVPeq Ds/Sbpgrx6Ry8/633WF/u/iP85C+PT/d3T946TYk6tL+kUO12N5k+4nRtzGunG/jsIwjP1PB oBQf29OoOFCa0/ZzlMYeWm9OnLlZcWTSqO/EElHlNIhCvwVEiFo963lrdP3G7FTHoyHTumw2 KEBqujpUU0XBbkQE2am/6Tu0SoeyFj3jHk2TTyPMvSiKmZkFS7PH9Ip81MlJ/JICqk9nf4Pq 4/nfmevT8UnkEgkNcOfq4t3hy26ss3ZYFAnl+V8BYlJzC/F+7SxQVTa9WYC7Q5MLiZ+V67ME iV5GgV41akwpGL5UwkSyDaAxpDG+925TWWVmmxusEVW93Ne755d77OdZmO/f9jTuwbDBBvIQ y7EqpVEXA5e/GilmEW3alKxi83jOtdzOo0Wq55Esy9/A1vKSK9Al8xRK6FTQl4ttbEtS59Gd lqBBowjDlIghSpZGwTqTOobAgkIm9Drwy0pRwUJ1k0SGaAkOg9C29yGCbmDkJRjm2LRFVsaG IDjwefUyuj2I6lT8BHUT5ZU1A30dQ/A8+gKsCJ+dxzCEsyeHiLLWGb6e5YVc6Jsve+x1oIG+ kC4dWElJ66EdNAMrjC+ZYtKc1iHzX7v8bYemqqPPdPdzvVE2d5NORuLa3hjVv/Pdzd1/B00H aoqXtRkiCy+h7hdCma6OPXapXDtUDWEoWqL5YgIzEkMvVZIKtOvbsoNB3ORlRf1qey8zuCEE tvX8zJLZEu1IMo8JB6vL+NAJfMyiO8X4/HSzPxyenhcvoBhtHfJuv3t5faZKsu+RIlxKIyyU w5wzCOy4S2gHKCyI9XjMTQT47QmEnKkPK2urv4kHBe5cLmhVBsnA2QffD9vNJglDRGMJxq/7 I3QzWXyz8Z/jL3PdV6XIYuCi1sG2WDkua6wwjFKVt2UippBQD+FUA/913R05E0VDs1FORIE3 4aAVNjV1XYnEmb6CKHkjNMRQy8bLD8FBM4yMppBwKQN8nlMdvxtGO9RohAUP2Axx5EPqzWpT +iBwdpaJD9IutxFUUOyMNk9J7WQ3K1HDmzLcOIKmI4dNzsaAA0VQd6ykLZW6bPHoSK3P475d rdM4AhON8T6nEvVPRDEOXRI0M9/zpsKqRtf2GVZTkaY49pBnFGd0IJddHiNofMb2jECE0H6X TWnD7Ry8iOKKFNCRwJ58aopS09Zo11mAgT4vOE1s4Twa7Q1K2xQMwjYFphD2sIYKQc1NmGG1 MF42BXbDKEM9qToJiTOak1qCHQax9TqjU1YA+OpNcF+cbZOr3qQRSb4U0itmuiErXtReNZht PS1W2W5bCK2Pfx4u1ykFXdLZLahM6Yn3ZtNP1PTwjSyA/2HtUYbsqCIs2Y+34uOzhs2PtVOd j40fE6Di4GYYV8JLlFyDXKOQYdoj0Lcl1a8dIGSXHuyxSw/EHIRegeqPTfOLx41WNiCuhqi4 3UxSZZvy/CxyJDjo+GzyEQHXdS62oUT1bVcda3renjgnWgf8ERAaEPEIKNz+iPAOYARjzsTq jNxLbNO0rDVrGHUEp6QDALCjCBPY9eoKJsgy1Zrwcwr3OQOmn6NotOQ0KskCSNcGzdJaBBhb 08VmOvC/8MraoMhr2zQ4FdZuhFOVR94CXU8eaPhOhkM/cUBP5LrLyqJS6604RM+TBFOHCtof 3eFhE8MajUOLSU7CDkXBl8CInc3HZFnDsZV8v7s9Opq2kr+5inELENI2LIYhJ4Wd/n2hKzxY Vxjo98M1p3qAHOTWKPhPDLWBv8qhmSVGYeuRrVtt3Rq55HjFb8w1XV6QpvDAdkutN8zxKcTU TGWR4d1+BYaoQQAsN7ZlqfJE1b6u8xpazMUF+G6+lTR10Szn4N0+Y2g4W7nxzq4AJ7E2LmBE k3Hqbc2ddU+Gsm6iO0zw6L0Q1AFcEJoGkWsEVoqlCo6ILqBPqcfo3lAjfaTS4lcPF8fD4sAK UYXmHDzw12gRDu3stC611t7XBy4CtWzp+lUzdXF69POZt4e/9Nfn4KtLEGJtW1F8g/N2tSGG Bdm4ZFdeITdKVroehlg1p+Cssq4hjR4lGAGvUptSbQsPk6p/D6JeNgLx6yJ98ZmcSbQecu2/ 7rqWkmil66TJKG3YotB/GQIXVntefE8aRCu9K22/PunLyaEaH7/tyblSflHQtj15HPNXJLbg a+HTupXj5yB4dCHe4HfQpTUaTJftON50QhDmDLCEUWOrgG88azx+tCPp1eR9AT6w89jd1iYQ vmKHhGpqX1aRBPUbBk1lz/cjoRseunwaQlVMKF+SmKE0ivq/8AQBIZyj8FoCfXivTHprfDRD ZoUCK5HoR/fEx972WWjL7UnXmD6yIhK6Oq7s5m9Me6xEUgr1NgoefAEsFuFh+dfGc+E9AIs1 iQ+xdXmi/F3198Lvfj8+OooVVK/bk09HAelHnzSYJT7NBUzjxx8rhQ3tRMVif03w2Po9Mg5m 23iu/BKPwyTXokQJilGkiulV0BTgRv3iwdCsCAxNQCMo/Bbv2PebFMfIxfi+yFBetXWyObht Zx6+8TsNHDKbqkJXyr5BR1Zkmw9g5In/TWBn/b2wfxQ2gib5FpfxiOO6yukm05JefKcWhpCk sj1+kcsOCbuw+s25ZDRB3Oe6E0/Zd1D6SVxHBz6OUiLzC3zICUVmpi191usqYA+1/6lSBER9 kjlnLE4Tel6YrHXdky7msL6lDZFcIvbpf/vnxdfd4+73/df944tNxWI8s3j6hoUrko6dfDm7 4sz7wryriU8A0xbqHqHXooZzqmgzSfcCzB0VBXaB6ynS98vAgJuM1CfGe0JUwXntEyPETyUD FOvjU9pLtuZBypFCu28oj0fh8LBL6hGU3hRhjrMcCoERFGavp6c7bCUYkNk1hF9pUajNL9mP S+i6g7ayHuJnpwAqa/+MvH4ueB7aAOzXZ+TkLn91ITzp1JsErNPxkRsMKSRpb0be9Z964bcq VE8Kxi4Ath8tux4THFJnaTBJ19fpNmC/9dfTnyuwlPY6ll7JhYJbv7naTe5v0S0BAu9ch0kP i1J8M6ie2AfqSAN2ZuL+WgQLd5YwA/H7VQhtjPGLzwDcwAtlAMtZSJX5pSwE2Xys4sAAOlzP mHwV2WQXAzKAi7oMbzlqloI3sOUS3C1mJvN1WbUA2qV0BivittJoI0GAdRZLQLrV2U8SHMNF bMTIDuFCU2QFGWTqUBD9fLBbB4REwP0TeH8OziTMIIX0c56OC5PwbnwHk+y+5GYlQ1yynMgC hCAN6rQVU5ktjsuqCNcE/wuHISjaDeo4uOZhj+YA9/s3I+Qj5XLFJ7KBcLgFzibHalFzAfRI wSGEjsLxpyhid863ppCeuhf4CQmwqZ/LUOkcaut00gxWW3e9//ZzkT/v//u6f7z5vjjc7Pz+ s15GyUt7qV3KzeQbxQHpR7IeGHYMPEq76wZ0n9PAqTHRi/1lVfA1VJQWN4s1uXjrZmwIKlz7 tdPfHyKrDCLwKvv7IwCH8eOcj+odpb/fKEW/yxn8sKUZfL/+2bscF0u54y7kjsXt8/0fXiMH kLm9B1rKBY918Cs4Vn+laT/KR/SW4W0M/Jv4WGDp+DB7apW8bNfnwXxl1jElrzQ4iRuvt8vO WUMkBBbele+UqGQw9amru5ZycJ0PX3bP+9upn+xP5xrMhhMWtw97X+R8q9dD7DUVLPMcbA9Z 8qrxjBP6MRjP6ZEulU1d8CzCj+66unfb1ZX7r0/P3xffbEBw2P0Bt0/7dz5DEO4mBduBv6rD Kq9RdSToJ0xeD/3hLP4JSnWxf7n56V+kBy4lahlNXyaUl31EWFm6Bx/qFfft0NDXRGBaJSdH BXcfP3kojm6bl4XtDSOOQwKf3DMHCAD3SqUTmkn+1MK15/p3kImXP8J7j3gsd/a4t3XfSDaq l1iJFJdfl/4OMSU9k9u2t6DFBBD91Ql7F5OdgRvgkp5dtOr/Loz1erwckm2jSAX2W9rMrxf2 rIz/4xQ43Pv2HwGCNgbYO1XBDmqmRfCRXNC0hyDXvxJlkzjv+OFHiGlFUsax6eyMiGmvzadP n47eIOhCojiFXtXDF3ooiF+eDi+Lm6fHl+enhweQ9omStzySXdpGooDxM9KD1v1+mf+Nj62S JnQUFq3oc5kKFj7b7u02FdRVgGFORruFv7/ZPd8ufnu+v/2dtoldYb/FOMw+tvIkhMDpyFUI NCKEwDm2pqGtiB2l1CuR0HVnZ59PfiaHcX5y9PNJuG/MNLkP5UaMgvPK6PecHaA1Wnw+OZ7C sfA3xOwfj0J0J1Vq25pta0sEkSmw3FwtvR7LAecL7DhtU2IaMbL0tsTXtClIaH89avft/hab P/93/3LzZcpSZI+fPm+nM6a1brcRONKfncfpgenJgVu7e6Xzwd7yP/c3ry+73x729vcYF/aT 1JfD4sOCf3192AVmG79JKA1+vEJYsP98JIbCVl/8tGv4iYUi71Ji9DMGN1SnStT/p+zNmuS2 kbbRv9LxXpyYiXj9uYq1sb4IX7BIVhXU3JpgLa0bRltq2x0jtRxSa8Zzfv1BAlwyE8mSz4Wt rucBsS8JIJFJJnW3bTENKtm4cB/lCutBQYL0NFlFi0BU1AAcoqZ1c8W25galXVpS0Hc5gUYD nPzm9O68sxnFv7TvPznoVK3OttuVxMpEHlt11hE5Y52QIvXzZLBMFfdG4NE6OhAlitSsBcWB PjEAMO0x2w+K57f/fPn6LxBnPWHNyND3OE3324y4CI0IUO2mv1iA657ogJpf1pIig+jBj4X0 aWdGbKbI9RYQ7v455cFhJtEN0dy3hGmYkihmmTKYhvEAP15FqlxVTrGCmk0y6HA6afWiasLt 1a41IrN9NYXnnj4y0NJwh2+EcxpWLkSErXQM3DmtdyW+3hiYOIs0Wb8NUxUV/90mx9gH7V2F h9ZRzSpQVcpDDjDqzZi7cgIWDSIQD+GlKATbVFBbtnACdLMeK5XrvD3PJRCNeP0IWhLlvfJG UHXGyyBAp0Quz748ecBYdk17VRsdGZDqiiG831rQ9mievGVE0I0XuNZwmgbkRJaHuB3BLk35 t3Sgu1zElQRDpQkwQKbLwBNSNB4hDvPnQXj/M1A7vPIOaHyS8YtJ4lKWUkTHBo+CEdYT+OMO v/0c8HN6iLSAwzUXvZ4cqEyK/5zi3fUAP6a4wwywyszsXyop4SSWCxAnxFBZv0DvRFNrw6OQ rl69z6D2xA3XEADq62YIW3M/CFHIhrP6AH3z3gxkK+RmCFM1N/ma5YPRfRX/8j8fvv/68uF/ cNXnyYpcgJt5ZU1/dYsH6OXtJaalz0It4azpwJrXJvitJoyttTfFrP05Zu1PMhBvriqeO4V7 vft0cipaT6A/nIzWP5iN1jenI8zaKuuMDXEJEIpDZnWLaKL/0yHtmlhPArSwGw64KW7M/peR XqYBJMucq9/pFQvSPe3g9SaH/QVwAH8Qob/egdhIN/QGARu6oI+SRzUxHQ26iVUnVewf/U+q 46PdgBkJJ6cKXSYEt2owQHxnNRL+rL+rVXJISXTu0PDL12eQYM0O5s1s1SesxI8xS/JwR3WC 9A2KGUv0eWYZ1g9A7jIKsLNUFFa/jKDW3B67T8CBW9Y+mPJbD7OguaYnOHejOkFyI0SE7Pfe 06ztGBO87YYs6sYqWJm9dxxXMkMlR0TouJn4xEggmWrSiWxEcCEQTZB7HufAHBfBYoJS+AyU MIJ8S3jTXazuXjFV47qYrM6qmsyrjoqp0ms19VHjlb0RhgqG5f4w0vzZjD9MDtnJbGJoBEXk /bbn+XiW6OCJvjNSUk8YWa8HASV0D4B55QDG2x0wXr+AeTULYJ3yc/6xeswexeTw+kg+4vP9 ALG964gb2J1MDUwD96zHpKZYnjYRRWiTmMzuOgvSCLP2DuhX3GomgGwmbDpdIZqBSD+wBKF2 KMT6ReNNwvYzevEwYl4l9TZ/SMUlp0qstSl8f0l8fGjG69Bkdgm72jO4b3cfvnz+9eX1+eNd ZwpfWr6uDZ/7MQWD9gbtjGySNN+evv7+/DaVVBPVB9ioUivkUhCrMKxP+Q9CSQKEH+p2KVAo SVLxA/4g64mOq9shjtkP+B9nAi7+mJaKFIwYhxUDlKK8NAa4kRU6UIRvC7Bj+YO6KPY/zEKx nxSDUKCSiz1CIDiKI4+DxUA3JswxVJP+IEMNn1mlMFQFUAryt7qk2Q7msgxKwpjNi25qu3CQ Qfv56e3DHzfmhwYcBCRJTXcnQiBi+FTguQFiKUh20hPS/RjGiLLkrFwMUxS7xyadqpUxlL9r EUOx1UQOdaOpxkC3OmoXqjrd5JkkIgRIzz+u6hsTlQuQxsVtXt/+HlbuH9fbtPQ2BrndPsJp vB+kjorD7d5rNra3e0sWNLdT4Y6npCA/rI8ca4yK/A/6mNu5k5MQIVSxn9p8DkFKfXs4M0sn Qgh+1yIFOT7qSbmmD3Pf/HDueTiVRLr0Q9ye/bswaZRNCR19iPhHcw+T94UAJb0Fk4Jw92Zi CHtQ94NQtXx+Mga5uXp0QVR+OzMnfNkJjwzYLZe2osT1l2C1ZuhOgZDQErctjCEjgpLswM9x MO9IEXY4HUCUuxUfcNOxAlsIpba0VAJLmC9ufniLuMVNl8OQir7771jwneW121mzn94xM2Dc 440FzabEGYKcB52pKjO/3r19fXr99ueXr29gkvHty4cvn+4+fXn6ePfr06en1w9wZ/zt+5/A I104G53bSjfsfnEgzA5cJiK2TmFukoiOMt6N7LE433rbWzy7dc1juPhQFnuBfIge0QNSnvde TDv/Q8C8JBOvZNpH0oRDxQMptj5Ol9z0saHpQ/TN059/fnr5YA9S7/54/vSn/+W+8Zqj2Me8 Q7ZV2p1+dHH/379xXruHK5U6sqfXyAYHPV6bpqxVBmEf3x+MsC+tvqYq+lsWj+2PCjwC9v9e NrpE6H35Xg4LJ708IGBewIksuPOmieJInAXhXOWU1lEiFRZIsQ7MNkuODg4juSYUOVDjZ7WW 4ceUANLDVNN9DK4q4VLf4N0+5yjjRBbGRF3x+wjMNk3GCTn4sPmkB0uE9I/rHE024uSLsWEm AvAtOssM3wn3RSsO2VSM3QZOTUUqVGS/Q/Xrqo4uHDIb4hO1Fepw0+vldo2mWsgQY1G6ueTf 6/+/s8madDoym1BqnCvW0uAa5oo1Hyf9QGVEN/5pIiI4EUU/May9YTOVR4kTJgD2bT8BeAXr JgAiTqynhuh6aowiIj0pbGGJcNBeExSci0xQx2yCgHzzB7kkQD6VSak7YrrxCOHYsGMmYpqc TDArzSZreXivhbG4nhqMa2FKwunKcxIOUVTDuXKSxq/Pb39jTJqAhT0rNItDtAMdzZKc6/fD z9370p7Y3QX71xMd4Z/2O8dmLKr+SnnfpjvefzvOEHBXRy7dEdV4DUpIUqmICWdBuxCZKC+J 5WTEYCEB4WoKXos4O85ADN1lIcLbzCNON3Ly5wy/eqXFqNMKv3FEZDJVYZC3Vqb8NQ9nbypC coaNcHa6bdYdenTnNNbiUcHNdXoD3MWxSr5N9fYuohYCBcL2ayAXE/DUN82+jltipJsw/Vdj NjsPRMenD/8irxv7z3yVDIsz02ewBeWHJhZh4QBqk92hLXfvYqItbYle6cqqXcI1SgxaUr9g /0JT4cAMvKipNfnFhE0LG97PwRTbmZ/v6Bo7xDM/zH/UOZqmO2AAWA03xFcI/DITm+ldLW5U BJONc9Tk5IeR5lTlI2AEVcU5YzKiDQBIXpURRXZ1sA6XEmb6AJ/86Hkr/PLf2FsUeye1gOLf pfhYlswyBzIT5v606A1sdTDbEw3Wq5UwucJU1U3jvk8R2/01PaYUgfZ4odo6HdxEkFCcy4wY ExDpJGOEVZXhSrf5NyvK/EHC2sMZ1xAickK45Zj/9rTZM3xqYX6QQ8Qr+dFZucVdJ8KWMOD5 Q1RVWUphVSX0ZMj8bNMiJjaaAjRCswi/f62OJSnHOisvFV6LOsDvmD1RHGMRtDrKMgOiKr3g wuwRW3THBBWlMZOXO5URMQ2z0Cikq2KSTA89cTAEeOA5JrWcncOtL2HmkHKKY5UrB4eg8rwU gis3pmkKXXW1lLC2yLo/rMNGBfWPDVSgkPz0HlFe9zBTPE/TLW3O1INdRx++P39/Novnz50h f7KOdqHbePfgRdEem50A7nXso2Rm70HrjNhD7f2RkFrNlAks6N5/eaDweZM+ZAK62/vgQUwq 0b4aqbaPsJtUKFxS10LZHuQyx8fyPvXhB6kgMbWl2sP7h2lGaKWjUO5KCXkQX1zZ0Nkoi8Wf nr59e/mtO1+l3SfO2McG8I7XOriJVZGkV5+wg2np4/uLj5HLoA7gPnQ71G9Rm5g+VzK6FnIA FgQ9VFA1cOVmKgpDFOwms01zaiJsxDpHXItAoGL+KqzDrS6CyJDKQjjbjY4ENQuM044KlYiM qjS7brTFjtj9LwDuyjb18QMJfYicFuzOD5ir2hu+kT1+ElLjOkQuCynXD7OwVrxyLXq/k4PH XH3MonQn2aNer7ARSAodrih7/spsn0JG/NAd4U86UP+qEGa5vcIXPkmMajgpwOOiLrMzOSIw U3tkHRtJWP/nBImfYCA8IfvcEceW4xCcU9VjHBHdnJRVWpz1RZGRhUB6so+J85U0HPkmLVJs ueXsFmg06Z1zawzpnMdKYItOSZg+JssrPm0C0h50ScP44pNFTW9nDzeOmq9HNvtc96HNFnBE 5p4zIKrGz3rrvbYOP7HRe8xra/e581NOvOJ0ICREOyUivNeeVnS/gtGKx5b6X97hNR0cK7/j QxHm1uGYCL8Pvnt7/vbmyTrVfUOcNRZOdY2dA9gdTF1WRrItFDnpO0Z5HbnX/p1LsA//en67 q58+vnwZrpyxlUUi/MMvU2F5BF7zzjTBGr+irt07WZtEdP0/werutSvVx+d/v3x49h/k5/cK L+LriiiB7aoHZtR8Fz3GZd6Cv9N9chXxo4BXEYrjMUJZjvH4MT/ogS4Au5gGbw+XQb6IirvE lSzxTBTB9OLFrjMPIv0ZgDjKYrgohjdVeAQBl6X4LASQqNnOWf5qL413UfHe7DCiYsGycyqW ikJX8Ap9JTFUbhlluZyABHdEiItZanG82cwECKx6SLAcuQJbTFGB/Y0DnPtZ1O8isGwrgn6a PSGnmubasyMy4qygVRrdi6E7Qg6usG1gwO/PEfRxP3x29UGwKO71oA5sY417sa7U3Qu4Rf/t 6cMz68V5XAWr+RUHP+ndZHAovuFZnegEwID1VCFkV0IPtzXioSEccHios/PrTHnjO6zaPi1x l5pfk0ia+VRNVlRVU32iGrRsaYzWLR6N1zPwYMM5T0MZeATLNLleBtZ6CiPKMICSo2X1+ttX sPb1k9UU8qZUG0arenKyVXXTgH3o4Vlf8uX190/Pvm5RUtK7rlQrDwOfBvpRe3iT3oMBZg8u Vb4IzN6GE/BCyAkajMijtRl6HD2oeqcyP7Dpo/PADw5OXXZpdq8KqQDBbOZHBUbowZ+hh+sk ev8eLKp7xHa1HVFbs/sbzWC6a98Ve8FEHcyWJM2MmIulIR1T4KKKXQmWjDGo8xi6JQsaZYoC 50xzREUUyGPNoj6yfO6wOAt3dil+zAT3RHs6PgaobYgfU/NtgW3NdoDJgn/X11FOx0Vg47yh MR1VwgBNfuK2Mz+90ykbJKHf6DTbN+T0DYFtGmMFMswQA8+7Bh2IOut0n74/v3358vbHZGeB W0bqyAgqJGZ13FD+IY5oBcRq15BZEoFebAPBo7WEJkajHHqK6kbC2uNShHexrkQiao6Le5HJ vKxYeHFRdSoyfq2NqXvltbhQay5ThzW2CdVVRJwHs4UPV0Zi8NG9UPlJk8396l3EHpadUmq8 bGgjodrPRywFwK1ufc48oPVa0a/5i6KPT6O92e3U+BqtRzzbXdd7bCTBBLvHVQ6WemrqQhta MSPHeT3SknOdS2rf3+EmtxBoIjJIV49eIIUl7f0BzqBRE7iz7rk1dJ4TT0R9WBAp0szssuvW bJ0LWCiEQHFagyOd2NmnL4uTFAgcbpidanbKIrNlUeTVNwlkqiG62qvFWsyQu4KtpM99zzM9 426NogxSSHZSGUD48CyLD/SFtAqB4aaAfJSpHavoHjGpPFZgVKSa5GJydMjI5l5JJOuN3WXD 3EesPxj8ingg6hg8HOmmJh7kBLY9Nj8IcJ4KMfhTuplQb4nzfz6/vH57+/r8qf3j7X+8gHmK 9ZUHmC5jA+z1CxyP7p3x0NMb8m1v9pWTRencCQtUZ0VrqnHaPMunSd14npXGNvQsWg9UGe8m ObXTnpLAQFbTVF5lNzgzi06zx0vuaX6QFrROKG6HiPV0TdgAN7LeJNk06dq1e0MudQ1og+7V xtUIrO/T0aPQRcEjlv+Sn12EGUyYv4TDyrC/V3gld79ZP+1AVVTYuEGHmgmLq7F1zKHip8nb iv+2zs/8YEyhpAO5L69I7ekvKQR8zE50DEh3qGl1pNpEPQI2iYygzKPtWfCiIp92F3uiFG46 kTooclMLYIFFgw4Af8Y+SCULQI/8W31MssGea/H89PVu//L86eNd/OXz5++v/ZOGf5ig/+yE W/yU1kRQFavFgsbJRQ7Amnq/2W5mEUVzMJF/fGRZUjkFYCGa49MeAPd4d9ABrQpYBZrcLZcC NBESMsRyCI5F6zRKJmA/opHyIyNCXI/QbjWiXuNZ2E/PCoK8+XUTzM2/kYz6sZhNjtevHDYV Vuhy10ronA4UYlnsL3WxEkEpze0K3ypnF34FkZhsMVd/9iQ9PdPemEePbghywjmyHI753dEK Pxa26OH59fnry4cOviv5OdHJGgDyHv8SuLV2Kkf3QiY7TV7h5bxH2pw6IDZTeJFEWYkXaDPj 2LjNxt9dB+1OCnsB3l+sUWScmyGoAq9sNalL8GgaDSFQLod4rAFSr4Qi3e4750tobYmsv56z YIgWjHtfJrgp1B4Tmm0B8XPdHx7WeIcCR12jH/lfkPIkckDeHznedlNuLY+zqxuzrJEXJ+53 G8XbjQeSLt5hZEgNWO6DeU5sPncxYlPmYC1XHyPw27g77fekldIiTrl9Bgjv/GB2Hf+3p++f nGXvl9+/f/n+7e6zM+r/9PX56e7by//7/H/RgTEkBp7icmeWYOYRGrwB9jYLRu8XmAbPYqCY dJjwrUGiUsXfCBRdRb9sETJJHI7+BbzlDe7kwa9lTp2smn8K5rjSPqHjVr/yJiE/7I5U//IZ Q6Z5rC9wcDhGPx0op7JtHdZaN7Y/zScjaE+FtY0fNWkiR+aCwepEnedAmN4RnZCXci+hUb2R 4F2crxfX60DZCj59MxNl7mz13EWvH+8aeCvrDGffZU//pdeJEEt2b4Yhj5o68t03ZDnlv9oa P+qgfL1P6Oda77GfLp1T2tYCsT4NCPXrmmPPceBWOtLI+F4d5T/XZf7z/tPTtz/uPvzx8qdw jwrNgH1iAvAuTdKYTTSAH8CzgQ+b7612Qmm9k2qfLMou28Oo6ZmdWTfMELXFEodXHzCbCMiC HdIyT5ua9TOYqnZRcW/kxMRstOY32eAmu7zJhrfTXd+kF4Ffc2ouYFK4pYCx3BCz0UMgOO0k hzJDi+ZGvkl83AgDkY+eGsX6bo1vyy1QMiDadf7NnQeXpz//RD57wN6967NPH8wcybtsCRPl tfdQzPocGMHIvXHiQO/dMeZ6J6Yh9TWKg2Rp8YtIQEvahvwlkGjs5c8O5HgVzOKEZdLIj5Zg 07herWYM07u4PeDjZVujebJZX72KVvHRB1O9Czwwvg9nSz+sjncBOEYmh0Uuu2/PnyiWLZez A8sXuWF2AL3QHrE2Ksri0QigrE1hl+48h9OiWU9A59rMMYyBu3evD2aD9aW+2+nnT7/9BDLH kzXuZgJN65xArHm8WrFB6bAWzsYUL7ij+OGJYUCPSKjRAW4vtWp637xTYbwhnQerKuQ9xezB Vmxw6syrmuroQeY/jsEVbVM24PAXjnKwF/eOTWvw3WvZeRAy0gx5cPlIR5BdYwMnvDhR8OXb v34qX3+KYfhP6cnYmijjA36q50xCmW1Z/st86aPNL0vSe82upk3jmPXpDoULUp8Rwu5iPir6 GDzGrPHccOzwQZIaUUpNEv4YwmTSTHM6rjtTOwfX82d/7ffzWTibh94n3VkYWX4tUdopDoyS wTZvYgW2IVWihbww/zVjHpW+L4v4qPhESEkndgiGh2+FTayi9+zHQcH3++0od7vGjkcplOmD SwGPo70UHP5HzpsGxlcWGqjzfj2f0cO6gTPTwD6LueRoqaPSajVjmTOCot+RO7B3BS6UtQ/h uWrCpDcf9URwhao+uNnEjvGsMu1z9/+4f4M7M/n32z1x3rXBaNwPYG9dkkc1+ODky0HehPO/ /vLxLrA9oFla+8xm54P37+AkVmftwylKyGbZfni1O2guP592PtBesrY5mh55LLOEz5s2wC7d dZqdwYxzoOTjSTRAgCleKTW2b0mwF2Qsiph91qlQDVVRMCC4GU8a7FLVgGbRaahFWQOmUZ09 ylTyWES5imnE3bAUMDrFGZwcL5R7ar7J/M7JZTRsGVkE1pkai4Rskst9fyhOMPB6m0XY1Stz s1zFsO+i95VTQIuvvntMm0GEj9nHsExlHRH6BE+pZG4QqEaHeh150JLfiJ6NrmG42a79OM3a vfTRomTFwV5rrMua7ppvcHbk1IZ9fTkTmHqbM9tvqtLaAW1xMn1xh18h9gzW2zQ5dG6KOz3l r0+fPj1/ujPY3R8vv//x06fnf5ufvq+4yLmh9mIyxRSwvQ81PnQQszFY6PIMCHffRQ1xDOnA XYXHcQdSZakONNu12gP3qgkkcOGBKdkVITAOBZj4wOtirfEztwGsLh54T3zA9GCDPT50YFng vdAIrv3OAEqvWsNEr6pFYHdGw1h4bxYeyVOZ+TSuHsBxn26xvpoFdKxV20TEtkKXVhLF2/XM x0+5fTo3pNvjcXnpBL+JXECgrMRvPzEKh4/uinW8ER2iBo2GUv42qXeoD8Ov1qkOOE+fxOnG MNrwJz2o7wWw1FLIa+iDZBOBwK5M87XEefsLTCb43jhOalDVv2/i5JxMwN2RtB4rkNIXdpET gRdGswrQp+7g2tMdEwquPREJdw+Ec9fH8ix2FKqxllqh1ni/X5zzlKk0DW14zidQ26n72Sl/ +fZBOINOC20kIDBguMjOswArZCWrYHVtkwo7eUcgvWHABJGcklOeP9J1We3M3lDjOe0YFcTR ntvo58rIyXie0AdwlxqjpapR+5zVi4U21yt2Mhbr7SLQy9kct3luktD4vW9axFmpTzUc79dM KxySvqJRF+vVarFq8/0BrwkYHVR3oOwbFsI6aHZH+q3GykXHqlUZWvUf4GFKXKoC1MBodg71 yQM8v+1VorfhLIiIxzOdBdvZbMERPPv2HaMxDHHn2hO743wTTuAbAbc52WKtx2MerxcrtGAl er4OA9ySMPduVnOEdc/RdnARQWa0vJqFK/6b9tEOI92zsmZ0sUdf0GntXsftdbRd4kKC3Gv6 hdnvV4vWYaikZOarInLlaX8OUuOMwXW5V1n6y4rC4Lja2lay8hWPy1649Nx4hRoHTBvP/jbD 0OQuqttgbhvTOR1NTcK5r9jvcDNCAjTSRnDlgVl6iLCp4g7Oo+s63PjBt4v4uhbQ63WJ4Hi3 MdtgOrYdxjVfRtBMK/qUDzcTtpTN819P3+4U6MV9//z8+vat94Y+mlP99PL6fPfRTJAvf8Kf Y000cALu92WYLbuu5V6xgXWtp7t9dYjufnv5+vk/Jv67j1/+82rNszoJED2bA+X0CI6fK+JQ y055WKdjgFo8w49oc029gQHvNH8ZXoK8GWnU7Mns/aM7U0PvPLo5Nm6R52Idq70YGggc8FxW YjiD42BjFo7gyHk6D8dSN/5HMXhRnv6oU3gecy7lWoj1i5HO4Zrhy9c7/fb09nyXP70+/f4M vePuH3Gp838KJ5CQXqlzXAFC4ccGOaTF5SHlv4eDnzat67IGk9ggeTyOU0IaH8mpXHzNwOLA xK21IZ12BXi2ngySpkdBFrWbW0VsyaFN1afnp2/PJvjzXfLlgx059jb155ePz/Df/3n7681e 24A92p9fXn/7cvfl1W597LYLPygyUvzViGMtVZcG2D1e1BQ00piwVbSUJu9xATkk/HcrhLkR J/ZPO4jS9i2QHFwQ1Sw86K7adhUiNaHk/YUh6ObY1kyk70HWIXY9YbsJqgDj0xCob7g3M63a z+M///r9999e/uIt4B3lDVsp7yRy2G3kyXopbHwcbsSlI3cMN5aInBUg3OqN7IdBCS7eURm+ +YsRjjOmlQQHPuY/M920ZU2Uj4Zdy36/K+mriI6ZrA64115jz+aDQP6evgllhSKZ67kojdcB eRbSE5mar64LgciTzVL8olHqKtSpbQwhfFOrfZYKBEiggdSqIJkK+LFqFmthC/7OaiIKo0TH 80CqqEopITuqCeebQMSDuVBBFhfiKXS4Wc5XQrJJHMxMI8ArvxtskV6Eopwv98JQ1krlRCIb CVOJUq51Fm9nqVSNTZ0b0dvHzyoKg/gqdYUmDtfxbCb0UdcXxyVRq/5+0xtX9sAjxz5460jB RNmQA3G3g8TfECVoixTcA52L+2F4lkAJNoXZXHbZu3v775/Pd/8woti//vfu7enP5/+9i5Of jHT4T39CwAcS8bF2WONjpSYP8vqvhdlC1+DbNsGXBkPEBwHDF362ZMMGkuExXEhGRHvL4ll5 OJAHFBbV9sE+aPmTKmp6cfUba0S4mxCard3HIqzs/yVGR3oSz9ROR/IHvDsACuIcfdboqLoS U8jKi3sDgHak9kCOGPy0kN326Ee953HE18Nu4QIJzFJkdsU1mCSupgZLPMjTgAXtO87i0pqB erUjiEV0rDSvHxN6S8Z1j/oVHNEnfQ6LYiGdSMUbEmkHwPoAZv/rTusUmV7qQ9SptorMWfTY 5vqXFdKF6YO4zVVaUNfZlM2NxPKL9yXcQ7v3CvCyruBzAQTb8mxvf5jt7Y+zvb2Z7e2NbG// Vra3S5ZtAPjW1HUB5QYFnx/PE5gYiWNAKsxSnpv8fMq9WbqCA7qS5xuu1M3g4XAd53hCdJOZ STDA96dmk2+XCLNSEjMzA4GvKUYwUtmuvAoMPzUYCKFejAwiogHUin1rdCAaKPirW3zgx3ra 62PMh5cDqZBHCE+I7kZ/o0o+CRp51Uz8WPZ00zUo+VQl6Wzdpr4603kHDp/dN965tNM+Nwth WRMJxczfWKHA/sSTm/+r3RdeHrUMdUPJm5KT/LqYb+e8MlN/zQAIbKoe0oT7DB15EDJSqw4I /l95YjYINLWJRqNrBldRpwbOdZPSdMeCfXhIGr6Qm3meN7SqvIW0UOSVWA9G5DGRE3kqXmCV 876i3quqTasKK46OhIZnC3HDB6luUr6Q6Md8tYhDMxkFkwxsWLp7eLDyYjfm86mw3TG2VK1j qKHi18upELlfWRUvj0H4y4EBp88yLPxgBxJcX/Maf8iiFnf4Js4BC/yFF0L26zqyXA1SSbWX btNd144X29VffB6Fsm43SwZfks18y5OVJvkql5b2Kg+JsO8mkT0tnwX5u0Un/RzTTKuSjXAi dnkamr125jGar4Lr+Kagw/fdOOK4aw4Pdn0AlFo/0yrgwy45tnUS8VIZ9GgGwMWH01wIG2Un PthKnbjRSp+EDtwp43UOaGJXfnvoy0eHpdlNS0MUMmAyKpzYnxgZTuhGEIKcGZG4WnokBAdf 7fuqTBKGVfngzSn+8vr29cunT6BP/Z+Xtz9Mgq8/6f3+7vXp7eXfz6MpJrR/sCmRV5sDJKxp Flb5lSFxeo4YdIXzFYY9lERnwCZkWiWer4MrTx/kXiljWmX4UsJC42kSFPYDr4UP37+9ffl8 Z6Y8qQbM/t/MhGRLC5E+aNpTbEJXlvIux5ttg8gZsMHQ8T+0GjkKsbGDWiJolTM4PzOg4ABc niidMrSOIy//WGm/QzRHzheGnDLeBmfFa+usGrOSjEfHf7cqKtvWGdEEASRPOFJHGqy77T28 weKVw9hBWQdW4XpzZSg/O3MgOx8bwIUIrjn4WFGVN4uaNbRmED9XG0AvmwBeg0JCFyJIz2gs wY/TRpCn5p3rVU6wqs/kBtqiRdrEAqqKd9Ei4Cg/oLNomSV0MDjUyM1+GdxZnVc9MITJ2Z5F wZIl2ek4NIkZwk8rO/DIESNVp/WlrO95lGZYrUMvAsWDNaU+qh0vkndKW3kjzCKdUa9hhKny py+vn/7LRxkbWt1BPdm1uNYU6ty1Dy9IWTX8Y09YsKC3WLjP91PMcJxOnjz/9vTp069PH/51 9/Pdp+ffnz4ICsKVvzoC4h3o23DeHlM4AsZYnth3t0naED82Boa3i3gM54k97pl5yNxH/EDL 1Zpgzu9whDcieae/RXLv+/jeMV0m95tLJx3aHU96RwzDxVduVf4b6fIrQS1owknHuwZmEdsI 91gm7cM4pWVnD9y3JAPfKdD3VhpPRQY221szuBpQnKHWeQ1n1eMIoouo0seSgs1R2aeNZ2Xk 4oKny+qzR1qdPwhonKUR8eSc2EcxtKoUFe8MBD6w4A27rtgraXaGaID3aU2rT+grGG2xWWFC aN5UROvZIM6CAIH2WXSf0lDwbKCRoHaPDZFC7TNr1V3B7YMDND/23g+pGpfZsCmm2A4YKMrg /gRYRY9HAILKRSsQqEzubE+zabEosfvXThGUhtK7ysP2J010Kt1vql3UYTiBPhg+d+ow4Zyq Y8g1cIcRC6Q9NlwouNvhNE3v5ovt8u4f+5evzxfz3z/9m6C9qlNqIK9H2pJI4ANsqiMQYKKx P6KlxlMYDHRYCzuLCtSIkNnRneA1YLprqB1rz0prrhQJwJUjzWJJBzaoIY4/04eTkTvfc8cF pCdw7xxNivW7esQenoBjuiihltxpgLo8FUld7hS3zz2GMDvFcjIBMKR6TqELc88MYxiwjbGL MriUJ7VK7fYD0FC/pTQAMxfPTcSb7zUe5yADmo1uiY/YR8x/FmI9bGOZ0ZouNwhckzW1+YO0 SrPzjCXVijoWcr/b5uo9ROyY2meaEyqi+dGebSeqS62J6c8zUQnuNHtJ6kXmeZs6Y3cd+lQc 0pzaIYpq6uLJ/W6NJDr3wdnKB4n98Q4jfpl6rMy3s7/+msLxRNrHrMy8K4U3UjLeFjGCCpmc xEo24LbMG/sWpEMUIHL/1/lJixSF0sIH/MMZB5uGBts1NR6nPWdh6ETz9eUGG94il7fIYJKs byZa30q0vpVo7ScK0zIYEsRTGeDvPfd1722b+PVYqBhezougfVhnOryaZlXSbDamT9MQFg2w MjBGpWwMXB2DOk02wcoZivJdpHWUlPUULiV5LGv1Ho91BIpZjPhvKZTZG6VmlKQyagvgXfuR EA1cV4IZjPFwnvAuzRnJNEvtmE5UlJnCS2QCXu2R1qy3M7NG7IgJZ4uAfgJzCTHij9gtioWP WJSzCD/WPlvtAjKBOsiKgZ8pRj0Jnjs9UxLEzfqpkRis74Rux9g/Tn/7+vLr97fnj3f6Py9v H/64i75++OPl7fnD2/evgtmA3j9gfg7DdE1uGyg1w0+KvK8MkiZtVZ2mwswX80kK+21n1Gby K6KJ31M7Ix3rPSKsow1S8/RZpl39rA5Nu4ixNNNdBSziFb4eGdFwi1qlrMm1VvNYHUtvjXWp RElUNSl5iGIBa91jT6Ra/NUhxUzamOq8yiGzJiVDPk7JHaj73Za5MnO8OpiJAI8gp+nd6Ilc 4JMH8yOcz+f0CVIFyyg5SXMVVuQxkdHMx+31gJ9G9wj1ggSJs6N5nB/8EMX8ABdYMROsexhV HgSqzT6NvuvH8UKnKclqn5GZPpvTXyn9iXOVTTTTyeyw8XRrf7fFLgxnbJzFUZJyCXknRuqE etyLd9jao/lh3xzDgZFOM+r42HFQd7d4BMQ5tAsOUlyxIwzS62xPW9CwV/az1Ub6PXOQCfcO 5CL+7kBaWD/qJs3psxLzIfvF06MVGROf5bsi4o2SXdMkMp2TpIziiKOzwk7JmqPZUKU1yBbk pS7GzxP4DpusydTDSU1NYt3lKWqH7ja1mUtYOz8I8ELAlhJGByvCT3R/jhh6qzsS571cHqVj VBo6l8XXNo3xu+Ck4K7vumgStgE0gjVxdpykwXyGb1Y6wCwq2SiJsI/szza/KA8imgMOK4g+ /4i1x0tr5mJ1iOiL1yRdXpHM2TvJCLF+e5Jv5zM05kykq2CNz8nd7Hu1Dl7kiqGKsEkW4As9 0wPp5rxHWBFRhGl+olrcaUBnCfubuzzuUDbYcbTv6WztfrdFBdpShVkewXphm061f3olt4sB kc6uWO8IfnUHvlavg4rqKMr96Z1q9Mmr7H1+fjcP5VkfNOsyM8miMh7VdXVMgpbOI6ZssyVd Wo+FZrLLEVuzA9pIQHuKTFbIEdXlsZrzNacLxbxNpCRcSp8X2J8p/20aGmsRq8OO/OD9AKAE W+k1AJ4Z1JVEQEUI+5P3IQfyZDpJI/IhHj1JfYkLCL+81ADjq5MFacyA0JkQIJzWPp/P7tnP G+NDhcEKy+7vcllk8q5F83PXqUarSnCyBMoCkmGOazRfh8zD+j0eP/DL0xUCDGqF3t/fPwb0 F/8O59tkOiqIWmZ2NSOk8ABa0z3Ias7CVFC0EDeFll1XfjAH8bQH1MuAvvhxdBjvmI6hxrQs 5G4msIDV4ZUR02ru/LSvNBUTDwz3OgyXAf2Nz+rcbxMz+ea9+Yi5YWNplGxuLuIgfIe3iz3i blK41TjDXoOloeVJKH+scXWYX/MZ7nE9QsfzPo2yQp6Fi8hscLACsg/ocBEGcnasd8iiJONr b31pEhHGQTd6dLjAr2h6BbYrm7AD5kWvC1fFUxN7cTayIa6Hso7ThAxYFLq8Z0/LyYRqviqZ 3ASeLMHXcHEgDjGOkVm+jiiuxxTsVu/57UGX7APTJ37IogU5enjI6P7B/eYSe4eS8dZhbLx3 KBttD9mBzpKgp0zTxa8FzQ95UoW7GWr05iGONrOJ/lynsM3GLoiwXbJwvtjG7HdTlh7QEr8Q PWjPi5uLolfuPRvOgy1FrSe5unubMFJ1OF9vJzJfpFQF/UhXgzo6y5tToslSr2fLidoBj73Y DQb7jYLqKIe7CpQXu4ZP9XWdpg8yoUhf0fE2mPHTqiEoLrrSW6I5rfQcj2lN9F3BNQE27mWB OIE3bQVFWS8fAnqvr3DGcmwYpNdjzePt3JQGjehKxVTb23y3nc+JPaIec3bFjmV5L5l+t6GW E5Okbuy6gNJpcntdSgQHh/n6NskFcE9BxsGqeghneJPj4KyKjdTtwXlK9TEu8uGPw3UZg0kE D8YaRR10Kq7KL8nEGqnx3d0xqqrHPMXm1dyN2/g7BpfM+GS7UCc54seirOjzmA4x+bS13T7g cyz0aZMeT7hc/DcOioOpNq6M3BERL5hTUinRCwPPjPWRLBsDxPaTgINLspjobaCIL+o9WQDd 7/ayIp17QBcWHTp4h8M7bGdNXrRDgEKpwg/nh4oKObN8+4125QF+pLFPEtzR0j3pzvCTv0m4 3+NtnKqIu4QySmrwCVJLWJuBdoi9bGD9Q+/ovq46PjqvPs4qk1J3Bpm0QhyZtbBoQEIh18dN OFtcGZYnFOi2JhRMorOyrq4x+ADSGoUy8ISHgVjFUcKy0an9UhBOvE25VawpDvMbReBywcpA fY30eHfs6oeOHw/FSXu4fWjIwXDDQRVXGf+6Ex6YlyB7dhSxqjMywHyGFYvBV2razGfzOSuY 2yewiq+MCLwMBXC98b8unb1aDO/VNeUtnICVMdXsIuKEDVDq5spC/ADVgmVMrzcs2B2V8oRM 3eWnq4xKCfYUDLI65TmE9jwVihzTDISirhq7CjX7qe12RdSCyQFiVdEf7U5DP2KgGflmhUwp yD3GApZXFQtlVenoCZ+BS3J1DgD5rKHpl1nAkOGtN4KsjzdylapJUXV2jClnTd2D5jkWsS2h c+LqyWJWXwj+QmqoYPjK7rG4cgYQcYSNygJyH12I+AFYlR4ifWKf1k0WzrEJsREMKGjWvQ0R OgA0/5G1qc8mGDOdb65TxLadb8LIZ+MktpeYItOmWG7ARBELxPFk6kBN80DkOyUwSb5dY12f Htf1djObiXgo4mZW3ax4lfXMVmQO2TqYCTVTwGQWConAtLnz4TzWm3AhhK/N8q5betOOq0Sf dtpueum7bD8I5cC8eb5aL1iniYpgE7Bc7JgBHxuuzs3QPbEKSSsj0AZhGLLOHQdk79Hn7X10 qnn/tnm+hsFiPmu9EQHkfZTlSqjwB7PqXi4Ry+dRl35QVTSr+ZV1GKio6lh6o0NVRy8fWqV1 HbVe2HO2lvpVfNySVxEXIpLCr/ECPqe77yQPiR9V0DzmdvBJBDirgmtMgOzVgX0brSkB7/Q7 DUPnEwyA498IB+53rccksgM0QVf37KeQn5XTWE9rjlIlOBcQHHyDJb8izWimtvft8cIRXlMO Tfadyv7ei2LXxGV69b3wWpYH5vkzUHTceanJKenG+Sq2/2qQ8KRsdn6N8SrUkab6Yy9HzXW7 5dil9KqFuwTtKstVq1UcJW5t+tKWae5VOV7HBmiqzMdLjftHHNXZdo7NW/YI8046wL535Z65 VLGAsgRNLtb3Gf/NHHN3IJmkO8zvu4B6zy06HPw8sxfyUb1aYX2iizKrx3zmAa3SNRzB+4SU GLmLcb+9vgkY75yA+UUaUNZ+gE+kPtVVL3GxIH7cO8CPn05heUoVEInpT9AR4ZA7nubfbdbx analLYkTkjRSFuQHiM8RRTTxKg9BzAyobcDW+pSw/GjGmoQQt/JjEPOtZOTa8NOaMYsfaMYs uN/5rlT0iNbG4wHHx/bgQ4UPZZWPHVk26JAGhI1OgPhLquWCvzkboFt1Moa4VTNdKC9jHe5n ryOmMkkfiqJssIodQ9seA96ZOmOOuE+gUMBOdZ0xDS9YH6iOc+pjDBBN9oqA7EUEnnY1sI9M pslcH3anvUCzrtfDZESOccUqpbA/3wCa7BCAxzNTx4lUzX4RzXn8JVMlUNUlIGd1HQCn4Yo8 Ze8J1iUADngEwVQEQMAD25I9JHGMe5Een4hbr54kB6g9yDKTqZ3CngTcby/LFz7SDLLcrlcE WGyXANjTtpf/fIKfdz/DXxDyLnn+9fvvv4MnOs/Lbh/9VLL+kmCYC3EP0wFsvBo0Oefkd85+ 26928J6oO5kgXaoPcIoqbASvh6FXmv11NZiqvV1I+41fxhEWithb1rqCjxJQFYqM+BFT865D SHi55Y8L3plrYp4ANo+4a7nfo8vgKaItzsQKd0dXWG20x7C80WF4tB3TOk+93/ZJau6h7jHo /tKCAnChsG+N7OpF1eSJhxWg9Jx5MCwZPmalhwnYV2EoTfcp45JOYtVq6W02APMC0ftyA1D7 6Q4YrAQ5Y96Up93fVuBqKfcET5/GDH0jpeEb0h6hOR3QWApKZ/URxiUZUH8ycrip7KMAw2ti 6H43qMkohwCkLDkMHKz01wGsGD1KV6EeZTFm4f1EjaeJisgOPjdi6Gx+koPXET3/rJvgipcN 83s5m5E+Y6CVB63nPEzof+Yg89digWVywqymmNX0N8Tgqsseqa662SwYAF/L0ET2OkbIXs9s FjIjZbxjJmI7FfdFeSk41ZJrlRHj7r1tE94meMv0OK+Sq5BqH9afvBHpPNuIFJ0+EOGtTh3H RhvpvlxZxJ5DhzMObDzAy0Zmzc9rFnAbxKkHaR9KGLQJFpEP7fiHYZj6cXEoDOY8LsjXiUBU UukA3s6dnEEbWZQY+kS8NaUriYS7oyuFj4kh9PV6PfmI6eRwlEY267hh8asx86Pd4gc9tRZk GQDpjArI5N6b2Ba+UKMx7rcLTqMkDF5ucNQNwecBViJ0v/m3DiMpAUhOLjKqwHHJqNak+80j dhiN2F55jY4LqNkNXI73jwleqWFqep/QR83wez7HntN7hPeoTpypo8fYF3KMXL/C0ZrdWDgz 0ZgtsJbuW9yVRHeKbYXiy0seXe/AJMKn52/f7nZfvzx9/PXp9aPvI+miwDCDgnUtx7UyoqzT YMYJys648fD4nJz5mzzZNRjJlEkW01/0vXePMIV2QNmG0mL7mgHkntQiV+zUxcwBpsvqR3xe HxVXcny1mM2IFt0+quklZqLjeDm+xbQ/IWYhlJVxyZNskyVFf4FtjLH+sqjasUs8UwK4Rx0B vcMaP/BruL7Fu5Q0TaHjGCnVu/ZE3D66T7OdSEVNuK73Ab4Hk1hhKzWGyk2Q5bulHEUcB8Qe GYmddDzMJPtNgHWTrSqmtaMw4cysI31nZjno0CJRpXuo0ZK9kbM6S26XlE4K+qtVy4whpCv2 SHt+x8CcBJMu7IdvvTt/y0QnMqVZDIw777FrOYu6oeDMp5jfd789P9mXvt++/+q5crQfJLbb uMdGw2fL7OX1+193fzx9/eicAQ2KPZ2ryG/fwCTjB8N78ZmKPCptM+a27z99+OPp9fX50+hU sssU+tR+0aYnYisobaOSvIKBMEUJJi1tJWUp1oMY6CyTPrpPH6so4cS8qddeYDXnEMyITlwK XaGOL/rpr94WzfNHXhNd5Ot2wWMym+RU0727xfWMWJl24L5WzXshcHTO22juWTLrKjHTHpao 9JiZlvYInSbZLjrhrthVQtq8w8MBo+3Jr7IYH2Q5cHdvcrn04tBxYx0U46Z2zCF6jw8FHXjc M01KB1/Wa6zJOobVXi2mcDxjNhhSNP2ijRrV1apt0btvz1+tYps3dFjt0ZOXoRkEuGs6n7Ad w+Gkh/3aDb7JPDSrZeh1WFMTZG4d0KUOvaRtN4PaIV5v7GiOyTtF+MXtGw/B7P/ITD8wuUqS LKWbJ/qdmTVuUL2h2V8GSw6VkiYnnM2InEn2M5NBd/N2R3fvEnte3uTpwGMBoI1xAzO6uZk6 dg9pC5LSF4L9pB15CQDW7molxG6papqC/9OmRiQoHKhE5uC2tRnlpKEsB3WIiAZMB/QdarhQ 6XGztooXLj1vretkmXDb0ocAJ2N+ejmx1YLQuY8yCf74CCLAZ/KTDYicSgm5K7+uOJTNSzUY Ov5sF+bp7us+MWOVPvzqUSsGCjg9MXNiwzm3Y5vjukrThMgODofTvIIqVFqcTbYO5CtEF0VF NCIdpiMu6tA9QoHHqvnhvZMy0CEtvGB1XQ1OZtTrn9/fJt0FqaI6YeEOfvJ7DYvt922e5hkx gesYsPFF7Hg5WFdm75DeE4f3jsmjplbXjrF5PJn15BNs0gZLzt9YFltrPk5IpsfbSkdYCYyx Oq5TIw1ff5nPguXtMI+/bNYhDfKufBSSTs8iiBZOV/eJq3vP9aD7wMhfzJdZjxhpv6I2iymD ldsYs5WY5n4npfLQzGcbKZGHJpivJSLOKr2Z44OYgcru5USoHjGBbQdKpY+aOFovsd8EzITL uVR+17mknOXhAmu8EGIhEUa43SxWUlXmeBUb0aqeYw9zA1GklwZPHgNRVmkBJzNSbN6zrbHS yizZK3hRBmY9xW+b8hJdsBVQRMHf4ItKIk+F3HwmMfuVGGGO9anHspnxvRSbbmH6p9RCzSVb zhZSh7tOdF2w8NSmUq7McmQ6qJTKDmv0ohkATc7w08wngQC1UYbfooz47jGRYHjBaf7F+9yR 1I9FVFGFu5H0DI6jSNU+3ZXlvcSBFHrP3M2MbJpFRujHtltRbmA/kOGXZCjW8hQf75UY576M 4fBdjvSci5ULkhN+2uXQqIKtKyTFGdNoK+KAw8HxY4Q9sDgQykgdRFP8Jqfz3cmr87O+Xq+R lxB7G+EK1jeplMpI0vOdfo0B5UvUqD3SRkVk+pFELBIJxTLpgMblDltSGvDDPpDSPNT4XQKB 21xkTspM4zm2yTxwVhEgiiVKqyS9KPouZSCbHOv6jNHZ19qTBK1dTgZY0XwgzR6sVqWUB/AI mRE16THvYOW5rKXELLUjRlFGDpST5fJeVGJ+CMz7Y1ocT1L7Jbut1BpRnsallOnmZLaMhzra X6Wuo1czrOQ9ECABncR2v5LTIwK3+/0UQ0VM1AzZvekpRh6Z8/HRwKsCbOHZ/nZPAOI0xpnA lKrIvSCiDg0+UkfEMSou5OkV4u535ofHuOnM5D4u86WXcZjQnGyJPhxB0KuqQGWVqJIgPgyr PFzPrjIbJXoTYgfrlNyEm80NbnuLo3OYwJNLJsLXRs6e3/geNGTbHOt2E/oED/evsaplfncK zEZ1IZPwxq4s0lbFRbjAMiIJ9BjGTX6YY5VnyjeNrrjtcj/AZAk7frKGHM+tq0ghfpDEcjqN JNrOFstpDr/TIhysU/gYEpPHKK/0UU3lOk2bidykhyiLJjqx4zyxAAfZN+tgMdHNPSNTmDyU ZaIm0lWZMj1piqSvFUmcp+L9VAWQtYIyE1Vq5432Qt2B+QEmO4LZqMzn4dTHZrOyIk+VCZnr +Xyii5ghuoejLFVNBWCyGqm8/Lo+ZW2jJ/KsivSqJurDKsHC4ehEsveb+UTPNfspI2oVE9NK mjSmG62us4luZP+u1eE48b39+6ImmrcBR3GLxeo6XehTvJsvp5ri1oR3SRr78HmyC1zMJnY+ 0Y8v+XZzvcHhg0DOTVW05SYmYPuGrcyrUqtmYpDk5Gaa9tb5YhPeiPnWNGLfqkbFOzXRgMAv 8mlONTfI1EpO0/yNOQHoJI+hY0wtODb5+saAsgESrufkZQKsgRhR5AcRHUriYIvT7yJNjO96 VTE1k1kymFgArN7II5iFUrfibozIFC9XRIjngW5MHjaOSD/eqAH7t2qCqQ7c6GU4NUpNE9pl aiJ1Qwez2fXGsu5CTMyojpwYGo6ckOYq4iYAM7qZkz0P5cjhDaFOxXKiIfWpXk5Uj76G69VU 4Sq9Xs02E2P3PdvUEUmnzNSuVu15v5pIty6PuRML8Rlfd7yj8HzssF6mbsuC+MFB7BRpZN/5 0jtpdiidoAlDpLSOsSbmI7B1Q0+BHL3LI/K+vjtgXlxnpqQNOVHsTuJjXd3XHpqH2+W8rS61 UBg449yst4suDwIdboOVXBGW3G6mPnUTOaQr5zbPo3Dply+vTouZD0dmXicvYyx6qILIx8Da RJpWqVcVlmpU1nhnzl0iTQZXhU3htUVkVvcaTjfSgFNwMGoy19Eee23ebUWwy0P/4oq2WXlJ 6zzyo3tMmaK2g+N8PvNSqdPDKQPXqBMtVJsVbbp57GgN5uF0iOhaBWaQVKmXne4k90bkXYCz IodSAwl2z2TyJN5YVVGWw03uVHpVbGaO9cL0xvwkcCGxXt/Bl/xWL6rLJqofwShjmfhB3O5K HjaWmxhSwK0XMudEvFYqnH/HFiXXbCHNUhaWpylHCfOUyk3Vxl7FxXm0IBsLAktpgELa/S6R tdW6tIyIAwdEOjN/7SKvZnUZd7OfmT7ryK/B+hzAvD4xp1p6vbpNb3y6zhXfq1uIFNIipP4s EiTW2TA+XbT4Hp+0dUjAkcXgS/HYX4yrn8s7uMVFV4lMIrEW6XLYyJiSnFPTeDyE/dmqcIaV CR1o/k9NDjg4bsIg3mDx1eFVVJPLmQ6NFblAcahZxQWUKME6qPOwIAQ2UE6cE3Yf1LEUOqqk BMvMVEhUYXWETtPRv4zt6gSEIZrAidUonLjSeuuRttCrVSjg2VIA0/w0n93PBWafuz2+U/X5 4+nr04e356++YjOxL3TG6u2d766mjgqdWasPGofsA0iYGZBmMkQVdhFDj3C7U8xX26lQ161Z Txpsic/MBVWjO2+G5itlfWsTn3D9w2Ly3QiaBGHHH6zWuM3MHgj56UajCgxlNrSh4sc4ixKc ZPz4Hk4hsK2s8hq5g4mM3vpcI2eJiYyuxyKmy3SPEFf3HdYesI3a8n2ZE50ibG2Q64e0B/xo 0Vlir8sTUaF1qCbZGa6QSV8xbZFjyxrm970DnCvs568vT598vZyuutOozh5jYqXTEWGwmomg SaCqwTVBmliHtKQ74nBE/w4TXhcksRP33zg64n8cRzeRflG3J9PE+pelxNam+6k8vRUkvcJa lyZy9HlUmJ5c1s1E8voIT2BV/TBVi+DVdpqv9UQ97OI8CBcrpzcz2jVFIfZa0iwjiV8mEm2C EJv3J7HCOLqXOc9AKSbh3owcHpBaVFPVa8aox1APxrZ/F19ef4IPQLsVOrr1huVpTHXfMxsf GJ3slY6tEr8AjjGDMWo87v6Q7Noi97usr4bDiMmMmJ3bgtq3xbgfocpFbDJ+GAkZOfxjxOSX ZkrSwuh08DgOA5m/Hev0DNXx0oRBZT4E+on1Cx91g9l98g5P1H2ycVxc/ZnNwdOFiedrpeE0 WMzbQN/4kEitHksk2I41E9wurZNIyI+ZRdYLIbkOnx4NTsZ710SHU8TlTZ//u/GM8sdjFWl/ Ru2C30rSRmPGgpuS+YSOA+2iU1LDNn0+XwWz2Y2QU7lX++v6uvaHIliZF/PYE9OD+6rbSPx0 YCa/vcI7KrOl13LalJ5ukVqY4er4VngY2q6654ysq8D7wGDjXLDgk4FZtMwyIhZgpCYzY36l 1wjckKuDissMb9smg0wPVrOx1sJgs/B0E8J56HyxEr7LF351WHQ6snO6O8nt6ajJD+OmzpiW EzyuqmqzfmNbqbXV70GyuTB5VRVRlj2e4+5lHsWIEAPAFWtNdIBweNB58PWSVVWuQKEjId6H LVpF4OuAuUZHjG6YeRagOrMntsB7+t4DaCysdwCod4DLHGdIQ3Neqz2DLlETH5OSp2yPBEus UWP2Wty59ADBhA37UyLPjywzMzQSxHfhCBML5Rim+x6UfCWmy/ovs+pSL7ZrtCUGdUDlrKK5 13XdA6Tpne+wo8KCPLxPMxJ2uyRnVSNK3mdW4JGNarnnF+LjFB7o8p4Lz+Asnp413ogeK/JU rErtqXclQH3/QFRUHOJjChpb0JQjcTqbLxjWxAda5RbAXhg6wCo5MtkVU/5LB8wWp3PZcLIg t92xZycPIDlaMrYBiLEuXZ+wbhaL91WwnGbYtThnqX5MmsVZidUs4QSCHAeYVS57JGqgPcJs sgxwue/7qMmJ8MgCZy+KK2UrszR73wNxZgeoPX4y1VVSGO7T8d7AYmZbSF8gGNCZ8nZG6L9/ env589PzX2aoQL7iP17+FDNnFuCdO9U2UWZZWmB/L12kbB3o0SqOtqvlfIr4SyBUAeuKTxBb 4gAm6WT4Y5pVaW3N6VGC6e/awmWHcqcaH6ysI6Sh2Ybz1d33b6iauqnnzsRs8D++fHu7+/Dl 9e3rl0+fYAryHnXYyNV8hVfvAVwvBPDKwTzZrNYS1uplGAYeAw5mWf04d3kUVERFyCIaX5E7 JGc1VSl1XVKosFe1gQiaLG5DVnSt9Gq19cE1eV3vsC32WQIYWXo6wCmn2ZaB4SS3go7tnnkc lv/99vb8+e5X04pd+Lt/fDbN+em/d8+ff33++PH5493PXaifvrz+9MEMl3+yhr1eeW4Es/YW BsOGzY6CMcwV/jhKUq0OhTVzRnd0jPQ9wPAA5BUj5XbRY1NHio2jdE/WYwsdghnrAmmenlko vxQqZ8P33fvlJmQNfJ/mVZZQLKtirIFup4NmTUwi2emSPZSxfTOOcK0MR1iWu4L/LyUcXwFb K8VarL5fsBT1sc3NzJGlvJPmRDnGYqdibUS04MIa4FSo6qiI6InQdk9xt71iWFZteVXUsb0X sz07/ctIQq9Pn6CL/+zmqKePT3++Tc1NiSrhrcMpYCVIsoI1cRWxeyAEthnVkrO5Kndlsz+9 f9+WVKg1XBPBQ50z67qNKh7ZUwg7vit41exO7W0Zy7c/3BLWFRANYVq47j0Q+PeiygLQRM1p hx7kAkKd1w+QZ+zODSUw+CKNT8BhOZFwshjRc5XKs7UEUB51PsncibuZ2/Knb9CY8bjmeA8J 4UN31kAj42eUAF2V/Zd7pgOsOw4WQfK2ssPZqc8ItkftldXzZ2LBUwP7qOyRwp4rbwv6p522 CvsZjuHMqkGH5Sphp3wdTh0GAUjGg62yausVmE6DgJhp0Py7VxxlH2Y52BbH1ootWoXhct7W 2JY54PbYAptf60GvmgFMPNS694K/9ixiPtECVrqBScFGtQ9etPDEr53PsNFvC9dEqgXITMYB T8dhfjPVXjo6nodGWpixBoH5Watyz1Ev1NGPkSq3ddCaQU16qCOiHj2gwazV+yziiQ0cu/0D ysibmdrv4QCPMdfrliJX6ibRQmxtsBjvP3DLpCPzD/XPBtT7x+Ihr9pD14rD9FL1tmfcPMNm FfMf2WHYTlqWFZgTsi4QxhnVliRL18EVH2ZW5N4CzjFynbcV+GuI8GbviE9OzA+yD3LqD1oh wXswuWPhTy/Pr1gdAiKA3VH/bVVpf+NT4Yec5ge1eQKfdPGKn5r5SIEv7Xu2E0dUlhDFQ8R4 SyviuillyMTvz6/PX5/evnz1NyVNZbL45cO/hAw2ZmCuwrDle90qXKyXM+pvigam/XPcfbkk X15ZI4zhiBMp+M78NQKdm0KfcAult8vrgDbSi00QCDg+qOpB7/KwJ7QqDuQ0ssOd3piP21Vv LsVkZX027/dc58fMqwjgCl1NfLVL68y+KRjEV8q0u0MgmgDxg8XJ3wz4IDmt5qGW+MHmwHr7 iKH0x7SuH88qvQi1Rs8bh8jq8krOk4b2OhW10il7xzy0Gr7PRWCwESo+xxdvQ++x3jGXE0Qo EKp6WM7mW5GQozIJh2t8s4OJ7RRx3UxEtcWGEAixFYiHZB9cpf77AC+J7EQMk/AUr3dTPDvB JfB+GQgV5O+BOGNmSqHQA2tG3C1aZ0l4++vVLfqqheKgnK13QrWT648BDMiz1RHfrLFS+oiH 5IoH48FGxjdiPOvFFoW3yn8XuJ5yOjWRu8Mh8qMIwEko2WKXezZl2VBw4uLFBBc3zFesndeF 7/WjxvYSLeY5sbWoNcAxG88znz9/+frfu89Pf/75/PEOQvi7QPvdZun5AHU5Z3skB+ZJ1XCs OeKXsU6jPM7be1ObHOYHPe4c1dusuAq+RBUPmprp9DpVIcKZj6NroWIVXrgt4q2HDn0srmxm ddW9C9d6w0PnafGe9EeHlldyoejAKg6vXnLdaQXrAjGe9p1ePnt1Y8HzNVytGMZFYQu+H7pJ ZSShn7pOAqqyNzrKfLaEA5F2GaYsOmAUUHjWxYz5hhH7zZxoPLk2aUJeddprJoMs/M7S6NXK q4+Lnq9jm/RwrmnL9/zXn0+vH/0SeoaCMEpvWzsGq9qhUcgzYtHA6ywOFSK29wELHr5DxfCg lc/D6+t8NfMqqlKxkdYGRel8n/yNSgl4ibrXOHwk14+6sXf+Z95HYtNAC945+bvqEfRCkhMG C72Livdt02QM5qem3dhebLGTKFf/2ptEuYjbjclVswr51+w1mKtcbq6ne0PjqwN1bQFvvEI+ aPrHJBIcrv0GNfB2zhuog3mleWaDenRNrnYt6j3AdYOKPZ4dwJUQcrtdDjNNrH7Q0fjdjJsT /OfNrvGMMFnyuaHyZos6iReBl11dgg/oLBtsQcLm/mbmzCo5x3IrGuw8x3m8WIQhr4xK6VKT s8ovX388I+VxFSz0bJjCTnp3+wNyHtwRF2xJfd7Go5Xe+U//eenu8LwTDRPSna9aK2HYrOzI JDpYYjcSlMGXbyi2ayx/ML/kEoG3+F1+9aenfz/TrLqzaDCHTSNxuCaaHQMMmZyFkwQ4Skh2 xF8jCYFfxNJP1xNEMPXFYj5FTH6xMLNtLJOb9WyCCCeJiQyEKX59OzC7ByO+E4/uoHBjHXDi 82mMeqbtwZM68GigdHJclMRm6wyn3cSVu3tdyb7pHnpBM50qDxYCg0o7Ra13UoZ1yQvmZHom iptwu1xFPsNbAOPhFD6fwAMf5yYKelzvtA9CS12l0B1B9S2GpMEYipRVtmDDueEBRm+0Ja9v UXiCwytIODtzn3n4/mTm+kN0wioVfVRgt2NDFinGCDXVv5zMI6xG3mfab9ue6V9A+jEKy1FP 1VfssqKPSukKMucTtj/PFj7hLdE9kVXhBu8tMI6l1h6nu54x3SIidY8yNF+uNkIC/bvniUJs 5U8MIWTKHZnku51PmR65nK+E5rDEVqgRIIKVkDwQGyxuIsJIaEJUJkuLpRCTk9GkLzoxbeP3 BNuD26yJg+1SGNf9eyKhCzWr2UKo5roxM82KDpeZN7u52bZOiclkBPrHw4jztuaYZGexjIE/ G7LBxSFsNawmUr35Jd/4+pyg50li5xoJmHx/5Xh0xkbNL8RTj/1ppKuEQ91V93G0zFw8vYFb A+HlFzxr1W20U83pcKrRE2GPWghcslmQ27URX07ioYTnYG5silhNEespYjtBLOQ0tgGew0ei 2VznE8RiilhOE2LihlgHE8RmKqqNVCU63qylSrwPm5Q8W+zx+Uwm9lE+Xx35UB7SASOfOo+l HOzYo6QOb66VkK9ErwMhtJG6xWIkaZaZKTEXGPdYP0qEPPGde4+r1b3Z3e2Ewm/m4Wy1l4kw 2B8kZrXYrLRP9CY0xJztdXzMEx8/ZKt5qIViGiKYiYQR7SIRFjqWO+qKCp85quN6vhBaRO3y KBXSNXiF3SEOuEmBzVVjta+kHgJqOXJfpOdvPfouXgpFMx22ngdSnwLnQtEhFQi7IAr9wxJb KaomNhKB0D+BCOZyVMsgEPJriYnEl8F6IvFgLSRuLchJEwwQ69laSMQyc2GmtMRamKaB2Aqt YfD1eiHHtF5LLWWJlVBAS0yksZhvpAbJ42ohLh55WuyD+S6PpzqjGZZXoftm+VpY60DhR0Tl sFKr5huhYAYVqjrLQzG1UEwtFFOTBk6Wi30630rdM9+KqRnJaSEs7pZYSgPDEkIWqzjcLKRu DsQyELJfNLE7UFG6KYW1qYgb03OFXAOxkRrFEGYDLJQeiO1MKGeho4U0x9gD7y2+P6Sq7EM4 GQb5JJC7TWA2foKoY6cosfM4YrQfJAZZhNJk1c0XQrkNE8w20swHY3O5lEQo2HKtQyGLZqOy NNtjod5PcbKdSWsEEIFEvM/WotgBBoDEhU4fG6noBpamEQPHEsx14geJI0/nm4XQeVMjDixn Quc0RDCfINYX4qZxSD3X8XKT32CkEe243UKaYI00slrb1765OFlaXhqTllgI/dPIamtp4THT 7jwIk1DeCej5TGocayU5kL/YhBtJtDaVF0oNqooomAmrFeDSetDEG2E4NMc8llawJq/m0nxi caGNDb6UWhhwKffy+VHPnlXUxtVJlqUMuQ7XgqR4bsDVp4SHgbRluoRGrJ0LsisQ20kimCKE arG40A8cDuOaqpshPtuEq0aYYR21LgQJ3lCmbx8Fqd8xqUixWyeMr4bLTPl9y9BJ4THZ1Ear uZ9R+9aw8hHzyg7g8k0PY83aHrvUyto8b5taYf3Jnu/9xR/Kc6ubtGovynp/GHTRpID7SNXO yImoviZ9AtaXnJH9v/1JdyKSZWUMi5qgAdd/RfPkF5IXTqBB172lCu+YHrMv8yyvYyAzOP12 dHqbHpyk532dPky3e5qfnBWokToqrfwPwNaHB+oqjWofBgNLcHYkMLEU/l7V95eyTIT8l/39 F0Yj8zOJhNC70OwNoYJsoeOyzOjzbXvMbSs2ziI8vxkZo63u4dIkF3LtvgOzc0ljJvlS7/kr EBJA+n6xnAn1Z8du3xR16iUJhh68j/IGN7SdIZrnv56+3anXb29fv3+2+srwXOazZKmpUTaf focQ2hyU+xcyvJThldAodbRZBTzH+unzt++vv0/nM70+FqVQl6Pyom2rKIvI3aj3cL5HWIsN cFFeoscSm5McqF5LzTmVfnr78MfHL79PuvLS5b4R0u9OliaI1QSxXkwRUlROL+E27HQCVaGa mLgkGbe4fgSNmbzKq1Sp7h5SJlYzgejMhvjEe6VquHv1me4JkFQRFwGsi1WznodSMTp5x2dA 22UB14V1I5bfqqMJBJwxwCMnIRdgUFWICR6FCHinnScwUfxwUnUKZt8RmJyd8yYGZyqH18Y+ ujGiMEXTXdyajduSovbIMmSp6WpldkUt8ZFySMuEBzMx7lVTxVLXBLfFfobVbgP1SqE80vhS O9qb5Y8GWS9ms1TvGJrCnoNCbjqOpZYYrjolzhSVxQTIOS2S0l3408eQjdk1BHv+RbihyLES knL6XDyg+QlmvsyyHZfUcKI2Gx5eZfaMY76gYHGmDbae8doxyyPrKbCp6zUQfWax2W14mWCT QIBe/PXQcLPxwa0H5lF8fO/3q7Qy20lpLuyaMVWs9Go7W7Ay7OJ8M1uErJnyQ5XELA/gdiZg 4+XqXC/8Mup7/fTr07fnj+OCEFP/1mD2NBZmxqRxz9x6jacfRGNCSNFocG9Qaq12SM3ry+vL h293+uXTy4cvr3e7pw//+vPT0+szWpvwA1uIQtPXrQDtQIIkTxkhqVgdS6tHMiTpsyye5QII 8LabHLwPwHzLzRj7ACy/iSpvfNbTDFUZMewDmDPbAhm0Btzk6GggkaN3x6aLRV6z7L5+efr4 4cvnu29/Pn94+e3lw12U76KxUeAjFoXXBhZ1BY+VkFvCS7DGVgksPBZOJg5mKLZxXkywfrnJ mzlrcOS3768f3l5MV+xczvpufPcJk8cswpRpAfP1kSyqFxt82tBjRA3APjDkar42ZNQE4WYm 5MDZYNxn6TXGw2OkjlmMz0yAsH4JZ/jUxwa3ugwSxrwC7gUXlgicDE3f/drCWvWmqwBiPQWI opNJSQwI95LkN6A9thbixRcfHUZ0pSxG1J4BgWvOK6/DDvTz2RNeRsGnjJHaIt5GR7Vemomd Pmc6NmDLQKt4QTETK1G1hgjccvNwiup7wfYF2JImLy8AoHZVhg0izcMYd1YRg1MEZ+9tGEld YQ8c1QMH3KqWx7mRLEpKcOVywJz/i5kErgRwzTu7r3fVoZvNGuuGj+h2IaDh0kfD7cyPFrQo BXArhcQaXBZkz6cs1u+LkCz7/soM7UNASTcZcNgJUMTXvxt8EpAeO6C0l3WK68K0Jbzlszng WuIWbPTV7zJcRWsIST2nA8qfDVjwPpyxOu22YyyjaSxlXy03a27K1BL5ajYXIO52FfD7x9D0 t4CHxq+vo9115dVftAMzuDJYNqyt+9cRTuxq8pcPX788f3r+8Pa1E8GAv1O9B3PhkAACMNur FvLmOK4mBhhxL+ZNcvw1iMOoEqXthuw1CGj8zWdYQ9FpB5JzY89vj82P99JjRLczASV6hQgN BZS8CRlQ8iQEoYGM+kvEwHg1bhgz4eHLiv7gwO+ZPROdyGTauy3xP7hk82CzEIgsX6z4yJOe 1lh8eIgznHJbOFelcJRtJyf6ds5KIfyNEwL96uoJr7Zivdxk2CKfLWW+IjdXPcYbzb6h2QhY 6GFLvgbxO5MR83Pf4V7m+cOeERPjcO99yDxwWYY4E8I9+eh6hz0RGIm9uqamjcqsIZpFYwAw rnly1mb1idiYGMPAPYK9RrgZylvOGbXGS+rIgfgd4htYSlHJHHHJaoHbEjFFRNzOIcZJ5SK1 o6bKEcM7M6LYHoEyeKeAGCa1j4wv5aP2ZXI3ZVZiSlykpsx68hssXhMmmIsVZBmxFvZRYXZb ch7o+oqcSFk5WmKUzraLmRiZodbBZi42EqxZGzFCy4jVYB8MiNUNjFwgvg4ixk2qEuWLsJRb 4ZWPUOF6ORUjtQdBqa08CD3pllFyD7PURuwunmTMKbGmfNmdc9up1DZUQQpx3U6OuVUiPHEF SqlwK8dq5Hm503NJf2S4VISYnZogyF4A41zOR9z+9D6dmMyqcxjO5N5hqa1M4QeGIzzck0mk J8QjioryiOACPaLY7mFkdJBX0UxsCqC03Ep6lYebtdhMvpyPOLcqt+cc79pG3gh4q/l6IX7r C8GUCxZywzhhNxAL7wvNnJMHky9AM46I0R4nNpHjltN5IeI247by2uKL3oRjwjTi+FOwkeLC HWVWU98s5QHliW5poiJ0jzOeWH5+/vjydPfhy9dn35CW+yqOcnDk4F0COdaINVlp5P/zVABw EwA2BKZD1FFivYyJpE6E+6fuu3iKMT+aGhxM1tNMm5zRBv+sktTagOHQeZmZHdNpB277IixN jzTHouTMJV9HOKk3VwXMHFFxwOZmXAg469b3aZYSw1COa04FLo/NWJ7mgfmPZRwYa5+vBReb cUY8gdjIdqc9vM4V0CQ3dc5zDsQ5txo5E59AvSrpM7+WDRqwZW/ETWHKSshtcDOVYDp3wWSJ Apo384PlCpACv71r4CLLM5AKwcAGfpREVWN2JL+EmEkeiwhOo22rDzoVuR113u1AzQ+JDEBM 5texuyFNa+wNTuGH46q2QAuhKFykw9cEN2viBL4W8XdnOR5dFo8yERWPpcwco7oSmdxs6+53 ichdc+EbWzXgn0ITbPRdS6JIC/rbtxluxHeiGOjyRA32mjDgzknR7HEPX/Al2CCljcG9CUCF p+BPZ0FrqKnTKH9PnJya+V0Vu7JIvKTVoayr7HTwsnk4RXizaKCmMYH458SMtf1NHVR22NGH CtbZADMdxcOgk/ggdAMfhW7j5ydeCdiaNHpvpZMEdGZrFO0y+OYUavtUXPGJiV0zwKk6Wzov z79+ePrs++CAoG62ZrMuI3p31mcycVvn9NpZ5kdQviLWX212mvNsjffk9tMsxKLaEFu7S4sH CY/BlY9IVCqaS0TSxJoIvCNllqxcSwQ4v6iUmM67FJSj3olUBr7gd3EikfcmSmyfETFloXj9 OSaPajF7eb2FB6niN8UlnIkZL88r/PqLEPh9DyNa8ZsqigO8/yXMZsHbHlFzsZF0SpTiEVFs TUr4IQDnxMKaIauuu0lGbD74H3mtyCk5g5ZaTVPraUouFVDrybTmq4nKeNhO5AKIeIJZTFQf qKKLfcIwc2IFEVNmgIdy/Z0KM8WLfdlsU8Wx2ZTOaYRAnCqyViHqHK4WYtc7xzNi/AwxZuzl EnFVtXNNpMRR+z5e8MmsusQewKXqHhYn0262NTMZK8T7erFe8uRMU1zSnZd7HQT4WM3FaYjm 3K8E0evTpy+/3zVna8vJWxA6sf5cG9bbKHQwNwpJSWGbMlBQHcSsueOPiQkh5PqstPL3FbYX rmfe4yXKRjE+PSIchw/lZjbzAjuUXqsSJisjItDxz2xjzFriHMHV/s8fX35/eXv69INWiE4z 8goKo/JGzlG1V8HxNVgQA8kEnv6gjTLsjpZyQkM3+Zo858OoGFdHuahsDSU/qBrYo5A26QA+ 1no4IncpQ2C1s5KKFE9PtfY1yuN0iFikZhspwVPetOSetifiq1iafEsWtzH+g2rOPn6uNjP8 6hbjgRDPoQorfe/jRXk2M2lLB39PWglcwJOmMbLPySfKKq2xXDa0yX47mwm5dbi3/enpKm7O y1UgMMklILeZQ+Uauas+PLaNmOvzai411b5W+E5lyNx7I9VuhFpJ42OhdDRVa2cBg4LOJypg IeHFo06Fcken9VrqVJDXmZDXOF0HCyF8Gs+xDYChlxgBXWi+LE+DlZRsfs3m87ne+0zdZEF4 vQp9xPyr79kgsx2t3Z2SAz7NGBlyUKBz7SKq2bjYBXHQaQhW/pTBWWn+iLTrVWgL9b8wMf3j iUzj/7w1iad5EPozr0PFSbyjpNmyo4SJt2PsRN5pGv/2Zv2jfXz+7eX1+ePd16ePL1/kjNoe o2pdoWYA7Gh2pPWeYrlWAZGT3ZbTngOy01p3UPv059t36azW5TtPH/mxmhHSs3JNbPF0a8Vl 7S2G78s68kQAC7ZJvPCicAwIVDNfDHDk7vR+Kj4/S47J8gxvMT2qnvowOuu1qQAtVtnPT4Ok NlF56tx48iNgYt/Z78Twx/SqTnl7SHNVeIfFHclcxHQtd/VPo5vF3Eqfk4X5+Y///vr15eON MsXXudfIgE1KIiG2h9Ed8TtPzrFXHhN+RV6JE3giiVDITziVH0PsMjNsdqpORFYYuxZPC/tQ 91wtZqulGOIGlVepd3a/a8Ilm9IN5M9EOoo284UXbweLxew5X2zsGaGUPSUL25Zd+6Urd1HG ZhQkO4NJ38j5T2MSYnTezOezFh+ejbCEtaVOWG3Z5Uc4YpfWpT6wEuGIr0wOruDNyI1VqfKi Y6y0ZpmtdlMykSPJTQmZWFE1cw5g3baoAK+sfuEdQbFjWVUpq+niQE6sbS4S/tAEUJ0r6qe1 u8U4VeDXgXakZTaY2O9eOXi70Djap20cK69rnoebQW/ais6qMJV5rtTeCNjaJPF4M0wcVc3J uw4ytbxeLtcm8cRLPMkXq5XI6GN7Lk8czRcBaEx5gRcxlAH76wNFdV6sEWt1HJlZJa6xIhei fYcFLiH7+Pus/M1172SxjY0ccINNvSK5VxlKe5OyjnJ9KvpnxMtWeW06MlN7/lXV7lXuV67B TfdSkNvJWOHDm4lW7ipPbvQ+95CUv7pi9pjkk2Xvefkaloci/qD8IFqpbSDN6ChIUt6ic3X1 Dza8AHJmo3y52BjJttp7dcVdQWC0bSovqo45N17DNuB2ED2NhplhuFqWJ4bx5tm6g8+INQe/ hIfAW78x/U5YcUkF+Ydc+TUwYnoeVfjmSBoC7UH7PdmUeAdzkzR/+IOtNpOvjrTJ5iR11pUn CDUwwXnV4lCvtU2VW8PVE/V9VmflVaEF7eWzdb6+XnLatBFfzqbme3v/Heo0blxXc9seJ1Wa /U6exz/DY8PewSpW7Tc7RqDoltFpdQyX4gxv0mi1IUpHTglELTf8FJ1jY0h+2M2xobCccJ5s KTZGu2YZyOuQ32QkelfzT00zKPuXF+cxqu9FkJ1M36dkkbcb/QhObwp2eJ9HW6JaNlYplvkI 3F4bYo7EZcKIiZvZ+uh/s1+HRBXXwYJ2vmOckv8vk0Y5gA//utvnnc7D3T90c2efASMn02NU 4dXvgPuXr88X8BbwD5Wm6d18sV3+c0Ja3as6TfixXge6ywK+xXHrYOczatg/fvjy+TO85XRZ /vInvOz0DiRg07Sce9Nwc+Z6IvFjVadaQ0Zy6rOVy6I3pNSJBc1I+8v1BNyesQ9LGKsqKkx3 JTU04nUsoTbdPdtZP71+ePn06enrf0ef4m/fX82//3v37fn12xf44yX48L93v3398vr2/Prx 2z+5chloVtX/H2VX19w2jmz/ip/u3Vu35g6/RW5VHiCSkjgmRYagJHpeVJ5EM+Mqx07Zzu7s /vrbAEgKaDSc7EscnQOC+Gg0ugGwcZR32fOyNjZ1J+dzGJhu1U9ueT99rqCugX769PxZvvbz Zf7fVAAo4+ebZ3mF8p+Xx6/wR9xsvlygyb6JVZzrU19fnj9dXpcHvzz8ZQjX3LXo45cJLtgq Ci0rDuAsjezVl5IlkR/bU7HAAyt5w7swsrcCch6Gnu1Q8ziMrG0rgdZhYO8Z1Mcw8FiVB6Hl ZR4KBk6mVadTkxoBIa+oHsl0moS6YMWbznaUxWmh9bA5K052R1/wpTNwq4M0J+oyJ5n0+PD5 8uxMzIqjiOthGVMSttaWBJx4loUn4NSuPLj9vlVLAGNrAAKYWOAt94wbxab+rdMECpHQnry9 4KVgW+uII/2ryKrhcOxiPyKUFMCxLZtim8OzJfkUpHYrDafMuPZAQ626H7sxVDGGtT4UA+3e GIdE16/8FbXdFquRpeV2eXonD7vdJZxaoiwFZUXLjy34Ag7tRpdwRsKxbxmLrMjCNLNGILtN U6KfdzxV8Txl1fP7L5eX+0nnObc/YXLbCx+1thqhqVjXUUx7DJLYEvYWJNXWaAK1m6w9Zokt YUeeJIElSs2QNZ6tQQHujAPVCzx4HgUfPbt5JWznzXsv9DpiaXvftnvPJ6kmbtraMtB5fJsw e21PoJYIABqV+dbWifFtvGYbun/sxPkqbBaja/N4//qns++Lzk9iWxR5mBgfsilYfJlpr+cD mkgjQxttD19gxvzHRRh5y8RqTiBdAaIS+tY7FJEuxZcz8c8qV7C7vr7ANCwCaZC5irlgFQe7 qz3y8Prp8ihCvzx/e8UzPR45q9DWV00cqADZyuqcjIdvIk4NFOL1+dP5kxpjytKZ7QeNmAef HR1tWR6qmtEzwqFeKSn6RihTkzPjkxvcYN7MYHK+/pGCyR29gObEoDcCEutUbMYk1ykUlVyn VsZ3awaVud+VrRxU/0sc7elKi4nH+OhWWpHz2XmlLb+9vj1/efj3Rax5K4MVm6UyPZi+TWd8 iaxxYNalQUa/SJHGN+Mm6QPrO9ks1aOPG6T05VxPStLxZMMrQ7wMbgjMKC6ISxy1lFzo5ALd 9kGcHzrK8nHwPUf3nUd0eNHkYs/eRp25yMk1Yw0P6vdP2OzKckomNo8innquFmBj4CfWZpou A76jMpvcM2Ywiwve4RzFmd7oeLJ0t9AmByvL1Xpp2nNx4sjRQsOBZU6x41Xgxw5xrYbMDx0i 2YPl4+qRsQ49X99jN2Sr8QsfmihaziBMmuD1cgOO9s1m9lJn7S4/kHp9AwP1/uXzzd9e799g jnl4u/zP1aE1Fx74sPbSTLOXJjCxDsaI852Z95cFJmDrIxQaueChin9NFevT/W+Pl5v/vXm7 vMCk+fbyIE5QOApY9CM6pTRrozwo0Iad6J8E7XI1+zSNrgs9AP3Ef6RhwFSPrJ1CCeofEMo3 DKGPttt+raH59CDpVxA3dbzzDed5buogTe1O8ahOCezuk51CdZ9nNWXqpaHdvp7xueOcNMBn gY4l98cMPz+Nh8K3iqso1bT2WyH/EadntiCqxxMKXFHdhRsChGTE7+Ggp1E6kGCr/OLKbYZf rdpLzo6LiA03f/sR4eZdaoRRWLDRqkhgHSpUYEDIU4h3f/sRjZQ6iYwLH6/1iNCr9+Ngix2I fEyIfBijTi2qtWhEfMhyhnMLFld6NiTaWWhmi5eqARo48qgdKliZW2K1K4Ksxq0JgyZMLKkq AlDoPYFGPt4Fl8fe8IE7BQYkKD4fJbQarpM4l3a+7noImcsnxeqUNjFaUyzmqs0CUhawplPa ZrU4QAOHd+6fX97+vGHgUTx8un/6+fb55XL/dDNcpf/nXKr7Yjg6SwZCFnj4tGvbx+Y9BTPo 46Zb5+D+YYVXb4shDHGmExqTqH5ZgoID47D4MsA8pHHZIY2DgMLO1qr+hB+jmsjYX7RIxYsf VyMZ7j8YHimtvQKPG68wJ8P/+o/eO+QiZMpim8wHt7VHwRV9/Nfksfzc1bX5vLF8c50fxBFq D6tFjdK83jIH1/vp7eX5cV5HuPkdXFo5y1t2RJiNd7+gHt6vdwEWhv26w+0pMdTBIlZKhCVJ gvhpBaLBJJwxPL66AAsgT7e1JawA4hmMDWuwurCigWEMLi6yzqoxiL0YSaW0iwNLZORxZFTK XdsfeIiGCuN5OwSLPhqenx9fb97EAuk/Lo/PX2+eLv90WniHprnTdNn25f7rnyJCm3VAkG21 WQB+iAvb9e1DAcmAiiZkHP0QwLHSPyyVERi3gx4xecvOrF9bgNy33nYH/sFPdIqfqiHflX2r HxrXz9TAD3UMpdBPvwi0gEocRnnNqvEtkOBuG37elbV5smrCN2uS2siv/omLIgQpPlc5g3dR UBt6wA8DKvK2bM4yOq2jEAanVEqQz+vZ4nZ5ellLPC72s61l5ZnIdzDjJzbOq9o4Ijjj+7GT qxBZOqIaFRuE9L7uj0uEFSVuKYXJcF3dgCoOMrfVD1VcsXNe3ZK4Kx91vcV02my+PuYmf376 /eGPby/3YvPWbDXxDCQxM9q3h2PJtBJNwLTzGpPwfNXKh5DISt5lXlfb3YDaOjUmWYFkxkcM E3Lu+rKummrP+rvz7mTHvFgSki3TbJkJGANYAMYAlinY0QjLJhNtSyTPx+a0xQKhMBg4ORaC bWN+DzphCYGFFghe/KYq9UCtAj0UNRICPlh13wY4s7zqQeWeP8K4NomPI8pv3eY7q616UAVn S2Y7ti+XKz6Kh9evj/f/uununy6PaKjKhNbKosZMZ5fqIjMuR7+mqIHcRrEe4OpKwr9MfJWb n4/H0fc2XhjtcQOYL+JJmTJGJ5HRGeqPvuf3Ph89/51E3IvCwa9LnGg5o2q0zDVQ6Prl4fMf F9RIQgV1wz6MEqtcQpmcO54mugGx40yMZtRVeTS/dvNy/+Vy89u3338H/VngLZKNNjfNulxq dg0Gl6QpxE2oBrZvh2pzZ0CFfiYVfq/bdhC+AhFAR2S6EQdT6ro3Tj5MRN52d1AUZhFVA8Nz XctvaZd4mBPXw4zVVWNZixgD5/XdUBIBMiEdv+P0mwVBvlkQ+puvzKbty2q7P5f7otI/H5HV H3ZXXC/sGv4ogrzEClLAa4a6JBKhWhgBY0QXlJuy78virJ/RkFN8flijOoHBUVdrVLSGiVjR JaffSahz8Yy4HURN32ZphqqWLTaoWy1sefzz/uWz+rQIbx2JLpXKysiwawL8G3py04qz1oDu LVGqO26eFRDg3brsTQtVRy0xZj36DdYD9Ir5pqrhg4lA8+oLPIAcxFgw02Cg3FTmKDNu/xYd uTUfaLtyL47Wm+3E/QKFVhd5HauiYgRkhj+9wujA1ZWgxaCvjswCrLwlaOcsYTrfytgKE4Oj TL1Yv8BUdB/rYUS3IraUfmRKSvTQtyMBgSFd1+W+OjQkeceH6uOhpLgtBeKKzvmwY2nqBWwn LpDdVgp2NLci7aZkw51hmy6QIyM23OHf59xKImJmlT1MrnVe2NxoQfS7eIh+WqMNG2ALZLXO BLM81/00QVQc/z6HaLhLTDc5xWhEo+MoQ7iJWQLs0DbfcIuV15524CGtQSWgZtyXLcwYlVnm 27veVMyh4VhMAFEnCeMWOLZt0bamgjgOYB+YrTyAHVIifWUcy5Wa1HwGxlODp/wJE5e7Nefy KM/ULnOHQeYHPrQNPYfIy6SMfNX1UvVIgFsaNKssQmFbgGpDJBhmaHmJ8PyAesCwrYX+WYNp Pg5RjERo29ZgmvMdkgoZvPmKiauElDO96dv9ADO6qSVK0BL7tkF6Zg2diNT3hMmPtbZo0Mwc FpB1D54635Ul6vxDe771M28kUY9E0TR0B5P90WxKZNcLiMM0pH+hJ1t8pW9yLWpC6BXbThSg ihqlApyZTB1tPC+IgkHfiJZEw4M03G70RTWJD8cw9j4eTRTGbhbohzRm0LivW4BD0QZRY2LH 7TaIwoBFJmx/DyUrmJRJ2KBcsb8jMPBQwiTbbPXVi6lmIMO3G1zj3ZiG+o7ytV3p5rvyk14n uwSFqdcypafbawIjQO0VxlGzTSYmBcOKhHylWGeInPb6Js0i/3yqy4KiOQPPjVEMjkWqvQvf KmRQqRF/DFErkrKvUNHKb0UT1rLEMdONDktCj6yYpDKS6dI4JkuBA2hfmXYw1ha0gjNxbR5Z AjuK75WzI9xq9UUx3TXRNe+lupb7CB21qjuKWxeJb3w0vGV8YAP+VIn2aaYP79QBiuen1+dH cF0mv376VML+GH0ro83xVpdUAOF/6vpQnouorGbMPpoHHftrqX3qpBa8rcwNGP7Wh2bPP6Qe zfftiX8IlsW9DczfYFJuxEWMVs4ECZplUBYSOMj93ftp+3ZAy8l1u23NX+D77g9gNxtf/mgE 8qs0Jq8PQxAYhwwP+nQrf55bjj9GNnGx5gg6s9JvyjNy2cu7Ooybt/finp/GAs7Gup0Ai4aV +62wk6z0u1NRdibUs1MDDpcJCotTfkzTbjZiId5kfzHEaEamMGHGxoDgeAkezj7HdQFYCYkJ QwuJDQETVN9vtnrAx7n2LlB8WA5tQJBEuy5FtLPb9XT6mViWps0uwFFp9cqwUUxtBf8QBkam yi45g8VnRkKWBQff4LxBOR3F9VC8tBwHk6v2A+ot5M4t0PyQ3WZjf7C8QPmWBhQbbh0VEBhG JSloovFQl3d1CKNrPTGLtT9x0cyR61iy5dbsVOIUGg8C5Xu3vv3mpjtEnn8+sH6gi4RqO9qY iNuGYwHLRsDff6qm5Gj0ESOAieiq6MVVb4/RZujYEUNc33FSotpXrD4f/CQ2Tg8vtUclBAls 2D4YI6Ka6uJ4cInLd8llSHhGQdbW1/AK9pNzgZvFCCUhX1H4qX6XhmoobnjcE2YetVRgFUcx qinj1Q6PMpg3qrGjMLn+iJQpO6TGFtOMBQQWYuwUIODXIQz1FRUBrgfjcNUCndujuGi+xWo4 Z56vG/MSkwErkHiPd2CR28KscPQ8j4LUtzAjOu4VO+/Lk92d8v5Nj8Bi9KWfJIZxg8pbsL5m uFlBu1tYze7shOrpiHg6op5GYGPcAqRmIwSU+a4NkWas9kW1bSkM11ehxS902pFOjOBJw5Eg TrrnfrjyKBA/z/0sTG0sITH84a/GoK+2BbNpUqx6JDR/uC72dZARsFNipfa5np/++00cnvnj 8iYObtx//nzz27eHx7efHp5ufn94+SIW/NXpGvHY9asSlB8a0eC9+sbKwQJiqZDnMNLRo1GU 7W3bb/0A51u3NZKjekyiJCote6HkQ9+GNEo1O5hL1oy2b4IYaYYuH3do6u6rbqgKpN77pgwD C8oSAopROrlVeqzWuE7WaqGa5VgaYLUygZT+lctgLUeSdRyDAJXirtloN2Tvip/kx1BYGhgW N4aP58wwYUULGEx6CVD5CMt4XVJPXTlZxw8+TiDDLlnRW2dWmh7wahFE7NZFq0tEXCyvtg0j K6r4I9Z3V8oMEmNyeGsNsSI2OsMioPEwleHJ1WSxTGLWnoa0FPK7BXeDmKHLZtZaxVq66Du2 j8q6L+0noYzOrjWPq8xoOeIgX0sphBSAUYA9eDkQbVNnFeaBH9LoeWC9CPm1roZerFtE4nym ntCITzkB+M5KAxaHZ965PWZOe2A+nhckzMfgzoZzVrGPDphSjCorPwhqG09EAAsb3lUbI/SO tMHyIrCMTBlpFJzuxIa7tiDBHQEPMC7M5emZOTKw5JF2FGU+WeWeUdvAKypcl3bcnEyk4uaO 2pJj29+i4bwu1+3a8W4R+tc4JW2wA+NGMHA1HzU5HpTHsQMrt0TF6QopUznyMI0r6SdAOSdr rIgEM282vrNeIj98nNZCbGZouxb06h3xUuysTeCZjdW5Coi8ZpJ3RWVXyz5Lp0Zro+7+dsDQ Tk6K83dpaJP3nnyfxlTmK4Y12TbwVBwL7I0tz4urtTzsfepZjPF3cpCbEYW7TRqswtd5E6Rh LGmrc8ouC8VV8biVixLGyV6eZVLPTHFs8ynoibA9Ny+Xy+un+8fLTd4dls/echX25pp0inxD PPJ300jhchGoBt+1JyRdMJwRgicJ7iJogRNUSeZWNaNcE7JkYCZhbDYH7Lc0cxOiZpqWslHd H/6vGW9+e75/+Uw1gchMiEliWZuKK3lqudIzx7dDHVvKe2HdjcHUR9A9Xgv9NVpFni0eV9wW KY37WJ3rdYJKc1v1t6e2JRSazpxZ37CCgS93LtZUdbYkKIpzrvAqjMa1eNacSXE4EGbt2p1C Np8zc8W6s6+4CEUEpoKMeAcmK3juqP7NphauD6Tao3mM80Gx9p7oTFcdHjQKtFebZgI0LjUA 5Bl8zql6zNT3HhUnd/RNTTPBjvGTca6ApGVDuNLIXfnvp7obcnnLZgLy+GMJY//dhLnY/uIn mXQV/HDSKP6hpA0bM3FdqQjy9156fntXs1ssIhpdw1uDNPlOJvV5Lxbv6gDmBt5EUKMff0AW NYxXjHikGTltrEjCqaHEzas2Wndi7z3XT0yblGNELHzVfUy9ZHTRTNB+YtN8IDOd0p/5mqhg D9YcjN7OzdDm0cI6NPTCzxLyThIlb0R9qp7IWaCUZ2NyZ9tmXxIcsB+qGm9ZkGCPj/98eHq6 vNjTIpr7DvuoojYbFOFomqHc9sRMLeFp6LtYYWfF4TusEZnKZIe+anht+RvXBKzO4wQ78Vfa 3ZHXkus3aM/sOGy6LTOl6NcxyJKVF+AmWnBS5uRXP/vZd1amm2h7IgbNLPqgbmUSIjf7JMby FL5qfiZOzXl3WBN5AcGs1Q2Z1ToF1UGKyOwKubjCT0NikAOehVShJW6vK2iccVBM51KiU1mx Co371q4EO/jhipAzyazwcsGVGZ1M8g7jKvbEOiosWLxLojPv5Zq+l2tGyfjMvP+c853HlBRD SdB1OKbUQAcZ9H28QSWJ28jHPtyExyGheQWOF9wmPMFLVDMeUSUVOKFRBI53NxQehykl9EI1 BdSLXTor52Fc00QU1HjvUSPoTlKkMzuiyJKgRokgEqLNBY63gRbcUd7VO8VdOaRYcONIeGMT 4cwxjDISX9V4M0YSY+BFVN9PzpZD7dVEixVsFeCl5wV3pScqKHGiDoAb9/td8cyLiZ5ai+NZ hPVhL2QI1OX8Kpxu7Ykj+28r7jwj5GEHzhmx/i8nTtl71Gio9iIC7m3oUVNNxdkaHBbCYKib KIsoQ0QZCSlRXbf5MDFEQy8mu4NKCFUsCePkKGKIikoGn8YQRJc3fkJNI4JYZYTMTATdrTNJ 9iuQoecRLScIKAXRCDPjfJtiXa+L/eAvJ+HMU5Jkln0NOppoLMDDiOpE6fKRcEa0AxiYsU9o GmF4Uu6QwMniOExslxuinGwHTqgTaQg78qeMB4XTTer2PXHg9iu+bWhbdGbonl3YvtwaV7AT vpVDd/N9FntUizscIXDhg5hS1IIwroBGhKOtJpKunlouIIiBkcpf4JRKADwOiF4Xa2XZKiHd cnAFGbVdwXgQU0YFELFHjQxBrPABEklsWJauiGJpwa7fJelW0xOQbX5NQJV2Js27Q23aOt1m 0s5nYcYLqWrxkAXBinJ0T3Xk4YNPE5F4lFJQAcGJEkiCcpyWqwEwLuKdUukbX1zzWh6JgXNq 7H3NCQ9o3LyS0sAJQRM4XaaUFH7AIzr/NHbkE1OCJ3Cy7Zp0RfmcAg+IwStxQoFQ+1EL7siH 8l/keoujnJT5I+PEO9KviBEi8JTslzSl/DWF02N14shhKleG6HKRK0bUnt+MU6NE4JSlLDeF HOkpn9+1iSRwygeSuKOcK1oustRR39RRfsqYFThlykrcUc7M8d7MUX7KIJY4LUdZRst1RplS pybzKLNW4HS9spVHliezjuctOFFf8BvS2GG0r/AxxsUy/3/GrmzJbRzZ/krFPPU8dEyRlCjp 3ugHEKQktAiSRZBa/MJw22pPxZSXWy5HTP/9RYKLgERS7ohu2zoHGxNbYsuklCbJg2hFVaXM wzigFqTmIIBaFzQVi4PokeHvME8b8QmjeTUCz16opyQYamrGM1HY1iN6InU1LIMd0Y3yIQVx xpj0M/JujvfFtJWOCtw5lfC+3bmk3Ae0U9Q/sAOvPpRzw8ggFxmtXXvbgMLt/dhdThmcZVq9 dBR1HjuWb/rfUEoP4ym4lllQaMJUZt3uMlkd2D5vrQWHdeekv3IoUn9Hf28bQNE/uoQ1TVZf tAJXZ8Wu2TtszaxrOq0X93Y1rT9f/3b9AAbtIGNvtxrCswX4gXbTYLy2j+0nqNtuEeq+iJwg 232lAVu4kYY+MssP9gFxjzVl5eUCNsrst149JvQvDJa1Yjjvqi5TccguCoVFF/8MVoWOGXeD XdCdHwB1JezKohb2C5kb5n1ABpbPMJZnziFej5UIeKcLjutXuj5aDbitUVL70r0G2v/2SrHT HSZCAtNZNmWL28Thgiq65XnpGBwA8MTyxn6zYvK41OgZHqCCsxSl2JxEsWcFLk2hhO4EOH7O zV1LBGZFeUQyhFL6TXxEO/u6vUPoH7YriAm3RQhg3cokzyqWhh610zqLB572GdgMwjVhrDfI slVIKFLwuoSXmQiG1/01bhyyzRtBVF6hh/OdC5W12z6gp7Ci0V0tL+3mZYFemaus0CUuGow2 LL8UaACpdH91jHlYoGMYysYJsx42PZterkd8muHe8JAzuIRaCI5jwBNT9BF1yTlDhdEjjifJ weQXAp3xynhlwgJVVZaB8SucXANNRg/rGSqjzqTKWwTW9k6s6YB1lhVM2aPdBHlF6G0tdERL VFLPr3qOdHO0US+xRuDeqEcHlWWo2pq97uESY3WrGvyq0Ea93E7MG1FPQsiyQR9yFrrZutC7 rC7d7xoRL5d3F736r/FwpPQwVdZwSkvivYmS4dc4N4NPe1Ih6K8be23bAoYQ/RPbyYQlmRgc Xu9x3HLPhWv2y+U90xgt8WrPXOmuYajUKt6eu1mgYEWhBwqe9a/CjHWIGZcyIBTPAaDxBNnf p+/gjbxQqGhzz2zNtzY7D+hOe91rcy8doIwfdKDc2hzprZIu2OaVcO8VG8+RWFInTygnI1TH DZEDT+9sb63l6/c3MAUAloNfwMIe1uhM1Hh11joqrpDuDHVOo869txvqXReaKGm/JL6hR11g AgevzC6ckWUxaA12/LTku6Yh2KaBJqS0SkjF9b5jzGfmW8pzGwaP+8ovitArhiA+00QUhz6x 1Y1DJ+YTehaJFmHgEyUphHIqMv6YiVG4JZX3P7MlM2rhaYyHqnwdEGWdYC2AkqI4av/1Gmw4 69WPl9ToyFf/e++PG7pnUoXdnxgBcnNlm/moJyEAjddf6diD8spj97befuUDf3n//bu/eDLD GkeSNo/sM9TYTykK1chpfVbo2el/HowYm1KvILKHj9dvYGwavGEprsTDHz/eHpL8AKNmp9KH z+//Gq+Pv3/5/vXhj+vDl+v14/Xj/z58v16dlPbXl2/mOvXnr6/Xh+cvf351Sz+EQ7XZg/iN v015b8wGwDgXreRMeqxhW5bQ5FarI87cbZNCpc6es83pf7OGplSa1rbBe8zZ24Y293srK7Uv Z1JlOWtTRnNlkSHd22YPcEubpkaHtVpEfEZCuo12bRKHSySIljlNVnx+/+n5yyffO50ZiFLu +Vc2ywunMjUqKvSwrMeOVM/U+L5E06jw3OearEw/TM2Dhclqw43QiZB2HaYQO5busoaw7DCF SFuW6/kjn6zgVi/v33QH+Pywe/lxfcjf/2U//Z2iNfqP2DkiuaWoKjyvG6mfl54gzXggo2gJ ZtGFMcXSqzdmKJFM98KPV8v9mRkuRKlbTX5xk0pPPPIRo2dg0RniruhMiLuiMyF+Irpe0Rid RCPFDOKXzsbiBPeO4QnCm9wMCts08O6NoMqtZ/Nt4EJCKKEnlN5G//uPn65v/0p/vH/59RXM KUGdPLxe/+/HM7wSh5rqg0yvUd7MCHv9Ar5APg43P92MtD4qKr1CZvm8fENHvl4KhCxCqgcZ 3DPNMjGw63vQPVqpDFabW1/uQ6qmzGVqb94YxXEv9CIjYzSqa2CG8Mo/MW06k4U/ZhjFahU/ kiCthsEtzD4Hp1amODoLI/LZvjGG7LuHF5YI6XUTaDKmoZD6QavUKsRTl7HDQmG+BSyL854c WxzVMQaKCa18J3NkfYgcl1QWh7dn7WLuI/vM0mLMqmqfeVNyz8JD0N5QZuYvLse0K61Dn2lq mCXlmqQzWWVYYemZbQPGhgRWW3vyKPoVuc+Iyn5SbBN0+Ew3otnvGsmuEXQZ10Fo35Oza97Y Op0p4onG25bEYXytWAHPZu/xd+PKiv78kW8VC+kackLQdewGuVvIIQzWl7wwAdYB/RA/L0yw oQXtBHn6O2Ho6rfCLH6elQ6S0yPBIVczGZSJ0AMFp1un5E3XzrU/YzSWZkq1mhnfeg58arB6 tlNAmPViJv65nY1XsKOcaaVVHjpOhy2qbES8XtJN84mzlm4ET3rEh40veuCteLU+44XEwLEt PeoCocWSpngLYxrNs7pm8Dg+dw6e7CAXmZT0HDIzvhiD8665Pos961nCW34NQ/ppRtJl5R7q 2JQsRJHRdQfR+Ey8M+yPdpKOeBJqn3i64SgQ1QbeGnGowIZu1t7mmrsPSc7nmRQxSk1DIZpB Wdo2fms6Kjw9aR3MW0bk2a5s3IMtA2P9J8eNZ5wd+WXF4whzcISD6lekaI8fQDNVZjmucnOo m2olqPf5Y3+XUPqv4w4P1SPceXWdo4I3YNU3O4qkZg2eiUV5YrUWE4JhIwfVwl5pBc5s8GzF uWnR4nUwZbFFI+tFh0P1lL0zYjijWt4rweEf0RIPLnBaA/bCjF9oXCy+Z6VyjnCNNBvc1eDY h9g64Gc4dnexNmO7PPOSOLewEyLt9lz9+6/vzx/ev/TrXrpBV3urbOPqy2eKsupz4ZmwLA2O y93ejAuE8DidjItDMmBJtzs6W+YN2x9LN+QE9Zp8cvEtbI6qefSI9FGppL/vD69mu/U5iN2P M1KFPfyjyE7+nNMvDiiMWqINDLlIs2OBS5hM3eNpEqTWmTsgIcGOu0VFK7veGK7S4W4t4vr6 /O3f11fdJm6HCG6DGHexvZXbrvaxcY8Xoc7+rh/pRqOuVJ2Z48vdVOTRTwGwCG+yQ0FQp01S PkR2dzTIXQwI7C1kmUyXyyj2SqAntzBchSTomsOYiDUa6HflAfXsbOe427aq9Sz0KIME05tV 9tbFuUjATE2pRINaX9tlMAug8b7L8Ba2hjIPUm2icCfYdnWRGucXzqK6/+dWza664WR1ljT3 /GcW4VmDxkcNTGVAcP8NTtJ6GONyNuNe1HeKvW0LDhrPnSASXsmPu+/3Mxrsas2HGtSU+bzA gq6/r4cSGc4jZkPwtDdrZNrLnXSK8iDYHZ5xqcfcOwHMzZQ7PBxdz7Npsqvu0Kcs4YxyADJo Sp17/aU9Jc4POFxyATiDchERLNaPVoeVthdo/cNVJzXwL5Xq/3Rb5uA73juohSiJa7d1gsZT 7LXPJOYU/RZHGYNqjo1HCDxoIl5Zfnp+DJFV6nz9BHWDmxOlnCP2G1/haLXW9Pe+qPrQrl0U K5W82UqKKLcdq5mydVOXbOwb0FaCZ3aM5oiQIrbwt/1aw5IBmNh2Cdj67vZIIqfENjxl6kRs ZYdB36uLycqXTC9KjnLhySpAxQRHQSr1m+cJ/6YErVG8Yz/Ah8iP77USU9f2gytToDZxjDMD 1qo9x0i6F7HWIlHI8WjRb1sD4aiMRs6l2ouE+TGcOwsyk+hG8oignnz9/PX1L/X2/OE/vgY9 RWkLs6jXC7DWvp8tlW4tXjdXE+Ll8PP+OeZoWpNURPF/N0d6RRfZu1oTWzta0g0mxYxZR9Zw k8e9Zwe/eptrFNZt9Z/78as17svTBPbNYxiYsSYI7ScCBk24jJ1Hzjd0iVHjXwYngJ3OjKBj PcCAFWebZTSDIucghiKgvIo2i4UHLpfns3e7auJst9w30CuzBmNcOnC28uhHd/2sjKDjU2ao t0yvwCQTOfXVS1xFgMYRRnsfN/BMsWlxw8DPvQyIvfZM4BJ/Xsp4EC7Uo/2Cpi+J7Q/IIHW2 A+fS9k5C31RSrZnjdEfjXAvn3kEvpyZabrDsPWc9fenA5pbW/ZOyPOAP916RGLThLF7a7mJ6 NOfLjfOQsU+CnVer2CuL8V+0wWlAM7cdqhsQudXpo2fFNgwSe/ow+KFJw3jjCUpFwTaPelvN qF+bmyd/vDx/+c8vwT/N8rPeJYbXetqPL+Bqm3ic8PDL7ULoP9HIkMBeC65YdQFfnHb2zevz p0/+uAI64M5xxGDD2BmIw5V6xercCHFYkYKNU3WYofeZVs8S50zM4Yk7zg7v2PNyGGKAGanx suRNMs/f3uAM+/vDWy+eWy0U17c/n1/ewOG5ceH98AtI8e09mFTHVTBJq2aFEo7hbrfQTEvT eQcDeqPnuJAFwaVLagauMf3TT6H/LPRUbvvDuWEdOOHWzf0O2ed6J7K90LVI4+hSMvOSaSfs e9xWIJamgxx+Qk8rYjKcbPaczTN4j8nin2ybvi7epTNp8vPO3nXBzJ3cgF+QjFg8Clu7zM8L suo0sfxZnRYZLSWN3ylbyWtn08Wp58I+NLeLXZUzAjRMx+m20ZPzZbF4c+eNDKTqag5v6FSV PTghgo4CIjlaVAZmWvQMCNekFa/tq82G8q58Z47RTRMmz3aMX2DMtVuzoZBEBgwMNujJLkOE lFTqu32GU2Uytf3Y3LAuq+tSj73F7xl3z6FMmGy1tG0rGEysw81q6aGR89B9wEIfy6LAR8+2 W4w+3HLhx1251+mGgETG7iv6IXLkYWpy9u4UBu6I3LC64a7dbwCQeg7Qnusl04UGR0+O/3h9 +/D4DzuAgrMCexVngfOxnLWVBh6eR//01nQNAbUKtsXtbMLdNfgEOw7HbLRrRda5zsRMYeqj s1MCTyigTN66ZAzsL00chiJYkizfZbYj4htzpmOoaGX7rRjxVLneTV2825+c1YPN2g/VXbw7 pQ3JxSuiBPuLXC9j4lPwimLEtS4aO8//LWK9oT7G877pEBs6D1fftQitH9vGTEamPqwfiZRq teQR9d1C5brrEzF6gqqsnlkSxToD7sMV37oWKxzikZK6YWaJNUHIRdCsqeowON0YkqcoPBD9 Bhs0mTJnuWSKiAA+N9cx0eANswmItDSzfnQM+0x1xZcN+YlKL+c3tk/SkdjKKKDKW+teSOWt 8eWaylmHpxpoJqPHkKjv+qjxDSfaSM/Mddz6uHZMLU4fuJwOeVUl7o9XUK+bmXawmRkUqMYJ +IJIx+AzQ9KGkunGMdJ5E+liRtRxQFYNdNTF7HhDiFr3iDCgepfk1WqDvpiw9gqSfv/l489n iFRFzjUqtwCr3/BR5N3EuCyJjnTU/yBFHlJjncaXASFbwJd0lcbrZbdlUtjX0l36N+tkzWE2 5CGNFWQVrpc/DbP4G2HWbhg7RP8Fxk9mne2wBHvWaBYUPRaBnIDDxSPVa9DWlINTvUnj1LCt mkOwahjVrhfrhqpcwCNqstS4bSBuwpWMQ+rTkqfFmuo3dbXkVI+FkYvomNidtY0vifCqyuyH gVZnQe6obzpTFFD6RNFyUs94dyme5OQr7uuXX3nV/qQDs6Mo7E3wiRA7eEJeEuV13z7cZiKi m/Y+RKhOvQgonDVRyKrVI6koNpuglpuQ+nDgwEWKz3j3yKciNOsllZRqizMhD3kkcu39UKyJ wu4yqRemPs7L/eYxiKg5XjWSEGvFKWHDfuqZEmBv9JVSWXm4oCJoIgopQiv4ZA7IqvpU+uJI jC2ydB3yTXgTR5QSOy7pJuMx6vrl+9fX+23YenfeOPaCUl0909trD8NLeIs5Ous2eMyU4gdm TF0K3jXnLivgvQFcfSsK2EU/Cce/BfgE7p0suZjx4WceF5h4bgnRYTEg9msUcJekMe6G0A03 tiIZPzbuNpHcwZu4Du0dwd6/0Fi88NCSNURg2FE563HJTahIqu1QsBtYgcURG9AVlLiIqXIX MhfX9lCmTu7s67E3wvr0k5EFesE3oH4w58Rvr1o35wFwQ403uFy/P+bDss5YRcKoFZezGpXE uhCGGNUOv6dmx1+er1/eqGbnygDcGNqXMW+trquZbQzB2Shl7dm75HpQenmwxr97Lw+P/41W a0SkGUSfLufxLduBZraw9mFuWGd86oWTEanWeaQCBk/t03QAqmEMF/WTS6QykyTBbIupAKis 5qW9I2HS5YJ4YqSJImvOKGjdOtfSNSS3sW357LgF3z2llG3XXKosQIzu6k/b1AVRkKI00RHq tMIR6ZzLxxMqnUl5gnWPPVPwzt6Prp+65GJcnkhWsJ299QrDlO/SG1DzDaahHp9f356/+uNz Hwp9xYQNm6selYArR3uFOODIq+GASunI8gbq1QRYlsl86xsfXr9+//rn28P+r2/X11+PD59+ XL+/EVbKjGEYa2joDcW0jbAH6wG9Fdpkcr5+GU8FvXTPWeF/I4Aqy7cD4ZzBWBHgBKesL92+ bKq8/VthulxI0fy2DEInL9gQh9Mee2oEAnYPs6OewQqcOD9k9iGGBrcoLlysYw3FwM5qLyn3 9Rlw+n+447utwcITyqHbFY2zy2mwmhWNKahx+mkNnydRNnkCgdwYDRx8fbYR3f4gAeqrOrBC QDOV7ge6WbkgTNVm9WUuirmc5Fnn+J8FcA/eUquj090Bz2zn3ybltim7c87sm61jjli+UhGZ HCs7D9Wgwz1wUuMYU9Tfp2ToXnvRlZql4ia9/jfWnSa0P4ZN2q3xxdodEj3aL9Z3gkl2tkM+ oqBSgNNFPP4MZFLqGsIlMxMhBsdXWRjvL53qJUXoU0ovgorKw4ViswWqeA5mdb3cNaznCxKO STh6pGCwAUnCZCLrYE3AMqKKwmSVazmLUosCvnAmgF5ERPF9Po5IXo/LYIuBhP2PShknURXE 0hevxrUiQuVqYlAoVRYIPIPHC6o4TQheYyiYaAMG9gVv4CUNr0g4PPuwlHrZ7Lfubb4kWgwD JUmUQdj57QM4IeqyI8QmzI3X8PHAPYrHZ9gvKD1CVjymmlv6FISJBxeaaToWBku/FgbOz8IQ ksh7JILYHyQ0l7Ok4mSr0Z2E+VE0mjKyA0oqdw23lEDgXvhT5I82S3IkENNQg7l1uFwa1cqX rf7jBE4WUz3zkCyDhIPHiGgbN3pJdAWbJlqITcdUrU90fPZb8Y0O7xfNmGSfp+Hc+h69JDqt RZ/JouUg6xhOxWa41TmajacHaEoahtsExGBx46j8YFNIBHATepYjJTByfuu7cVQ5By6eTRMm jvtTCtlQrSnlLh9Hd3kRzk5oQBJTKQdVk8+WvJ9PqCzTxtye8OBLYbYMgkei7ey0ArOvCBVK LyLPfsEFr/pBgijWU1KyuvfAjsnfa1pIB7hn1hobXZ4UEqMGw+w2z80xqT9s9oycjySpWDJb UN8jwYLWEzVux8vQnxgNTggfcLjAQOErGu/nBUqWhRmRqRbTM9Q0UDfpkuiMKiaGewlv2Iik 9ZIWVh3EDMMFm50gtMyN+gOPKOgWThCFaWbdCmx+z7LQpxczfC89mjOrcp95allvmZg9VRRv 9slmPjJtNpRSXJhYMTXSazxt/Yrv4S0j1g49Zdz2eNxRHtZUp9ezs9+pYMqm53FCCTn0f8OF pnsj671Rla52akGTEp82VuZd3WkmYmP3hLrRS5FN2DqI8139747Xl0qveDmX1RzXHMQsd8oq L1OrP9XrVRBay+Far4/WmQXAL60DIIuJOloYMTuY+e0HHPCk0XLIzo6l1brR6p29qXps4thu C+Y31Fd/L0uUD9/fBsN206Za7zH3w4fry/X16+frm7PVxlKhu3pon12OUORDCx/aeJB94DlA 9sFSLlSUP4aptfuq+P9TdiXNjePI+q8o5tQd8TpalKjt0AeuEkvcioBkuS4Mt62uUkzZcnh5 UzW//mUCJJUJQO5+h1rwZRIEIDCRAHIJOuNC3danu+/nrxhR7OH09fR29x3traEzZstBsZjT V2G5zdIgSobE61fIzG8MKIsla/Ni6fGKPWrQD2XmpNxdhAFOj5TwxraDaKf6Hv15+u3h9HK8 x/i9V7onF1PeDAWYbdegzjejw67dPd/dwzue7o//YAi9Ge+5N+M9Xfjz4VpBtRf+0RWKn09v 346vJ1bfajllz0PZvzyvH/z68+X8en9+Po5e1R2dNRvH82EqlMe3/5xf/q1G7+d/jy//M8oe n48PqnORs0ezlboP104Op6/f3uy36Cs/dMrIJ6sxS2/GKNRdSgLC7KgQ+LH4Mfy88Ev+L8a/ O758/TlSXxl+hVlE25YsWE4iDfgmsDSBFQeW5iMA8IRDPUgMc5rj6/k7Hiv/7ZSYiBWbEhPB zXk14g0/Ue9FMvoNZc/TA0zzJxK+MQ1bUbAUTYAc1heLoefj3b/fn7Exrxho8PX5eLz/Rn4s +JC2u5p/WQC04raUmzaISimCj6h1dJVaVzlNJGFQd3Etm2vUkHozcFKcRDLffkBNDvIDKl04 DeIH1W6T2+sdzT94kGdMMGj1ttpdpcpD3VzvCEZdsI6QW1zn6bXwJEIfRDy/vYDxHgO6wG5l teJgUS6XPrU73WdxUrXFwYLwsjhp4oA6yeRZE9lH2QoN5ZImDFRYxn0MEbIXFV1nIKh7jMaM 2IUE1L4uoLKz8MeaITORLxm7BeiH8aoXxybNyEqOpc7DQihTgCZmiUCQjAFYRDv1wky2tSBd Vk/o8CzaFalbxh5ezqcHeq+8Yd5B0IqmUhkN4LduYfqwyzdO5X5ZPS2vbvqrqC36O9Fv8LZk 1zYGwNwboGAEGkLkyrxU+2My9jJp13GxmPhEQ0+zJsFgY9aPm95IeYv3Ea2sJIZWq0Bv+2Pu 23RMVdWRp8O1Wu/arkN6XKotZHyhldxDSCqry1J7P01WqZtUlXGWJBF1UcRoY4+0pNpVB7d5 FcR/eGPM/jVndLxd5FcjCsaPv6W6eL7DLEwYjseEqjBWb4HdqMy7cDt/oJJt8OmZmhxqzGSz R8uYhPqDd1yguUv8u6qI1h6v6TxYizat10FYUVfETtkX24TFiCwzcStEzeLuK0wHvOTpCgiB eUtRgnHdTEmbkHy1kXJjbqN82x7y8oD/uflCJyGsk5LKZl1ug3XhTeb+tk1zixbGc0zk61uE zQEUsXFYugkL660Kn02v4A5+2G+uPGqsSfDpZHwFn7lx/wo/DaZKcH95DZ9beB3FoBnZA9QE y+XCbo6Yx+NJYFcPuOdNHLiIvcly5cSZxTjD7WYq3DE8Cp+63zudOXC5WExnjRNfrvYWLrPy loXQ6/FcLNn2r8N3kTf37NcCzAzYe7iOgX3hqOdGJXKrJJ/uaU6jznWsaYh/d45TA/EmyyOP +Yn1iAr94oLpPmpANzdtVYVo/UIGrWAxmLHEbcaCrGgjZm6ACEjJm6rZclBlv+PQ3s9pKrW4 aOOsMBCm3iOgr9rVklx9fxhlIi79/PT0/mP0y8PxGTZqd2/HB+KUfFjOh5wXrWXbCHvipr2h 6ZAQ2cTUdDDPkvImAAHM+cROtHlQs2RmyqFfFGFGzfIV6ORkFfYI3ihaNVZLFpdfoU0oqVjb fcqk2Fkv4rhphdBTJVpkUnWlAP2rbVLUQ8j41zo4M0PsMKQI0p4VIrOaVQdlIDCnlkWJ0CbG HjCVDcsF1pl+hOo7cRLUQWyxY9CALRK4PQiD4fcWge3qynnUKKZBhM7qLOWWg+0asYsIwwOk cBal018jbioJe58Wt3JkQLp9/CYOaFqCzgo1KUHFvKBJktT2+KuJbU/1MuSgftjms6eDaq01 IRiAOb9k0NhtwUe7cD2UW8fvCaU1Q3vShnW/R40PHWdOUUfmMKm0insWuaAL9xHt2szm72Bl 50ZUsVpZ4CFDXWTWQwXm68IorqAWSpa6sKOnOQa5SJqCKtydkTH7acMCj24vwKHyrGEBbNYm GGaETBWdgc4a8+JQ8IHSL62CrWxYnJe+gs/UA0vFgW3XBY1uqytohD2gmBkOkDKhUafrPQgH e8TqIuKjL3aNPvJsqumVUaxBCZWu3wz+JBi1muyIhh0H03wHtM5qsvBFm6YqkmFhESalsteG gVBj/D9aVwNgEqFde8PW0p6Q0/b3IPRaEtkASjSa58HmgJ0ZKaM21LTrJgFVn7510ML75TQ6 Pz6en0bR9/P9v0fpy93jEU8gLysp0dtNNx5CwkunAL6EhLUNlI4lnSbkAdwgran9IacZHrom kTklEaLhwUsogsl+SshmTJPkJM+/Rlm4+xXFUbIYu5uONObETGkCr6vbqHa/b1LUgiqeCMqb fD723c1ABwP4l48w4J9hw/bZ+YQRJIBQSPKVweWOkMtD7fC4Iwym5y8l3RRXaq0PgatWoIRR 0c6Zs1SPbqvSveE0gvMRyibjFzhC7kInQXlUrGPhrgapVBp+btdR1MJc9DlaFBacdcz+mCYk yIYqqGc0ormFYkxjxTungboGdEVvVS6oyZs7Ud1gC9ZV0I03YTZhzbyaO5lX7k/FSpSqww+i J9nc51Ks/+Wm0cT3xh/QJtdp/tRJIw2SaMRTq9VV+1zdvTz85+7lOBLPpyclO40bSC1Qxfn9 5f5om/xDlaKJmLNSB8FUDbkUTfYSY5TQqxRVbHn8QOAMQXswOLtaufn/4LNoRreKb2CahiZa JKBxz00Ufh8/c4AzUFKFAWsfQpMZMz1j7k8pI5MUiGI1mdtP6N7EIebZgqGKqN22g9iqhJBA MUdKjXQG2me0UQMziKBAFqhBZK6kWN1zvQbEgsmhF1kqC2vo5NYaoo1GQAuVDrSQu4kDlrSn SfceEFeZ3S2aHmWznOK4F83SgVHB0IG1PZ5CclUEw/6FFXV4hMHF/E1tweCaHsRinMgmMDi6 mqxja/QPCuhyraHL7kzn7MLLx9P9SBFH9d3XowpkZkfx1k+jM81a8pRHJgU6Gvwd+XJAfJ0P pNR+If6W4YOq9uQ3rNLWcHoKivgqpAIqCheBxrSNQQdvzdHofBlZvQRsxb5wE1hUOQc9zau6 vm1pNGX0pWoS7YvV3dg+nt+Ozy/ne4cDa4LJmvkiLmSiDEtgH9QRdDXPj6+WNYiootEv4ufr 2/FxVIGu++30/CvevN6f/oIJZAdThY82K9MmiFKyAiEKWiSPiNRP/bpo4wrmM7smrSKyjg0S RvlNt6JxBqbGZ+g3XavTq7RJPvcd7Iqj9Rka/cQu+jsS7F72XeovvBJRAevIL0+Y6qTBfUzA QkczBtyrCthNuMkYLE/UQZSYjbOG9NIPc5OdHHAv2FeQ/Hi7h91Il2HVqkYzo51Jy3PW9IQm +8KUwB4/1BMaiKiD+YVcB8IGw/Nni4WLMJ3SwA0X3Ai4SQlL30ngsYk63NSUO7iRoFRN7V6J YjajG6EO7jNp0AUcrxfJx0eJGfoS6ksqB9bSxKMIb9MsVUQOdwEeYbF11aX/yyIdXp6xWDFY ciNwdg4sE8oibtyPXtrQz7EPbcHCIvCoYVNYRN5sbJ51UpSfSzMKO14njvaaSm+WVA9kT4CN mrhCQ2uBj+jwSpO+PYh4RYvRp6039liM7mDh00ncAbxrPWgEHA+WPrWXAmA1m3ktvx3oUBOg bThE/pjeDgEwn9BGCbldTr0JB8Jg9v+2mWuVOSqenNOIi2jSNucmb5OVZ5SZXdLCX3D+hcG/ WDFLp8VyuWDl1YTTVyuiCGFUDlwqglk84XZ1WnBxLFJXNx4H42CFk3FdM7TfNVEMNdXiMJlx dJOBoCK/QFYcFjFn0dHcOIbCkoW3QmBKL0aLqJ5OaJgSBHwaG61IyvaLZ9V8EG3eMKgMdvzk R8tLs9Nqqy7qImuzK/ie4WprF42XngOj5n0a8yZLwcL6KFgs53R9QUznOeJv0sHRMDgtR+eI Gt3Yp3PYznIoq9FABa0qGK7zwLQHan/5+PwdtBvjc1hO54N9Y/Tt+KjSQAnLLFHmMKr1ppNh ZFIEn/m3vv+yXA0hnjenhz4MCVrm6oNF4id+EYpazvOw5gbZKeALcTFZvFiAClH37zXfqeSl qIen9EtNgTowbHbGYiek8UI3jYlJg9YNGDMJBbF1pwWYW2rNxjTGCJSn9AAGy9yAd+ZPPF72 50aZGVWC2sDrn0/8xrS0nbETWCgvqITG8twzyrxSU0Sy/IvFfDKlHxfIjZnH5chsSXsFYsNf 0MNTBFZUjugPJr4EBsFZ+PD++Piz2w/weaETJSV7dkaqfjytOhumUyZF6xjmVKIMgyKkGpNi Nunj0/3PwZL4v2hFGsfi9zrP+amR2trevZ1ffo9Pr28vpz/f0W6aGR7rmJA6aNy3u9fjbzk8 eHwY5efz8+gXqPHX0V/DG1/JG2ktqT+9LKn/3F6ZTz6EWATFHpqb0ITP4kMj/BnTv9be3Cqb OpfCrmlb69umcilbGnfqUop0XdVSZIemlcl1FwxYy77j3fe3b0SU9ujL26i5ezuOivPT6Y0P Zpr4PvM6UIDPvoHp2CMveX88PZzefto/TLyR9HZgE6OKQNbcjdzRb0lkC6Z/YXkyvCaDyfeG 4fcfj3ev7y/Hx+PT2+gdmm/NBH9s/ew+nRzb4kBlRFbu26LezcegqPAtCCUwOUsIlpDFF/JA xhQ1Pr8rtvH93T/txieYTlM6nEEOoorGDg3qWKxY9GWFsGPycOMxM/ComE48armFAJWAUJ5S JRHK8znVo9f1JKjhdwrGY7r5Qtt9jwpGuvtgIVgueN3Qc7hPIvAmVNtu6mbM0ov0i5mVFUU2 LI9IVaPjJwFqqHky5hjo8tMpvRaUkZj69KZNAdTyuX+/ckug2iUA/owaiO3EzFtOaBChqMx9 4m1T3H19Or7pzaBjPmxhq02Xue14taJzodv0FcGappsK1lMWkZQMNXImsioSCdvZKU/zNJ0x V6FO5OATV6SRIl0XVorsEFaDfUgRzdh5hEHgH59JJO4V2dP999PTtUGkqlwZgWrq6D3h0eZZ bVPJoIvY/k8cLbDLm6Y7HHcpiyrBXbOrpZusI31eSGwNfD6/gdA7WUcGqHOw6SbrHCT0ZFiK X46vKDLtMQmLmnlRsY+RGc6ABuF5M7Ns7M81xrfndT7lD4oZM1bUZaMijfGKAJsurMllNJOi TuVYU1jNcqYXvItEfkKvIfsrFNOV2ox2g3r+cXp0rnt5FqP9EFpI09NtcVjNLl+8PD4+ozrl /F2K/LAaz5nwKeoxvcCXMFOo+FJlKmFKGbICHrlzQJ2Fc6jOynVd0RtORGVVmXxJkxo86E/B zdT2RdLZr+g4Y0UyCl9OD18dJ6jIGgUrLzrQeK+ISoG5DFkdZ2eKwn2RIT9sxWeU+9qZLfLu WJoKROqsoht5epUGBTPCP0L6Zm6TY2pKiz/Ka7HwqHGKQpuIA90tHQezYs0BlY1ramJC2AiP 2XZBOwMhTsILBAwjyFGVHIsmqkIQoyEaSBcMkd3QqZHCa1gOyZvcAnhi8Kz5jNcWZJ1rinad Rcosp2z+8C6THRS6ccuCB2Z1gBknqb2UPpOQKuwNtabQHkBZXUWSGrSBZEikii7RVNzjJaUJ pqDQpsE2YeZRCILU3nOXFMys2KAYSPCaqOCUi4mVlieb25F4//NV3Qdd5mkX5ZDngO4i1y5m eKoeoUsGLDeMAxNZd8dsRWZbbyI5ryNveTiog3mWfBqJ9SFoJ8uyUKnEr5DgQfKxqLyS3eBd bUtcmy3pLWRUbfZz2uCFxzRDvL/t7towXGNd3uWrvNBAdgbnJnwHb/JP+GaTmV0fbZHU7sYe KJE45mZPLnTfSTcsnfQj2cYfL+zeS0A670+CRrfrcqc+floP3pWxIMSdBWRQk5la0PuUQsf7 GCbm8QWDvytv30e9X7TDIjb0gggvdzF2XlZ+IgvUZlfGeE6YX65ALDc27XxGauq80cIMn+XG k7CbKvdxVpDPKsy3KrJgzZzhyhgJrBzlQWZwUK8HVsC8WilRq/VLTYy/EYvDB2Z+/JqKJ8lV VElq7QqiOEl3NCKtOh3+nPIKhvtdg1lXrA+cjKoFXV6gYLvgKa+IJnIkNiM0R3a4zoZ1YyN8 GRrQtZNXOFH4yF31Sle9LOgzep6hb/pfp6/voGShf79lgYE8RCRDqS3WjYrC3tN0XaeXR2VU ZV/8xmSuQqGtUqIWpVlTKF8N+FVYeNfOY4J0LY7ikH5BcZGxsL9FZuoeCooCvLWFqVAmbVmp GJSwNOV5yG6hMxUSMwvRbSdjmcwGAmn0TRula/NtFO1Ds16o66pa58nQ337c1ufz1+/HD4av e05QA+8OgyG7zEN9B59mo1+SH7ADej39SavN+pxMv9o/MQ7IPqChHhFJBEsc1vFYttAGYbAn AW2Jm6ggY7MrcdfXsh9a/x5bewYgAZWannhJnk3rugEhXbNAlTskRzU5vz2ht77SGejBWwST Ap6v8ErGyCqYHOSkTW2gPQSSulv1MCZbP0AtuU0SSbRrWIZEoEzNyqfXa5lercU3a/Gv1+J/ UEtSKo9TnnKte+QqzXCV+RTGE16yPJdAywrVmFNtEpPdAYXlBOtBw6t2wFUekKxMK2dF5m9E SY6xoWR7fD4ZbfvkruTT1YfNYUJGPCzBLMw0nq3xHix/3lX05vvgfjXC9Es92C9dp4LP5g5Q VqjoUx7nZOGrIpO9R9pqQlWgAR5sidpOzXbwGKZtGtdu1EUgtix2ACXSdoTSnCo94hqYgaam kVoC1/z3GThAloCyXAJRGTRaLzDGU4OB4Hkayyw3By6dGO1VAA6Fi82cuD3s6FtPsuecouge u17h+pwVTd3bBtSYDPsdHMwyqI0xw5ziBs842OszNMHUs42ocqC5Yv7m2yv0a+0VZSWzlHQ6 NoFMA8bhRRqYfD3SLQB4ZFNkQmTsotn4DlURXWYxdbE+qkzZwNUNgB0bLPU80rmGjQmlQdkk VKlNC9nuPROYGE9F1JOsRyz/SgyznQq+XqBazICI6cnVPmny4FZzdOGa7r/R9CCpMKR5B5jf eg9vQOhV6yYobJK1VGi4CjEVKMbhotERkIQTRrgwK2r3hULfrzsU/wZbht/jfaxUBEtDyES1 ms/HfAGo8oz63X4BJkrfxWlrlst8GMO4Er+ngfy9lO5XpoZoKAQ8wZC9yYLlXuvC3KwY8f4P f7pw0bMKD1QEdOBfp9fzcjlb/eb9y8W4kymxiSmlIccUYIy0wpqbvqf16/H94Tz6y9VLtYCz Q0IEttxARWH7wgFifnA67RWI3W6LCoQ4NXtRJND987ihtgLbpGEB/A1NXha1VXQJOk0wxPZm twbZENIKOki1kUxN9Y8xsjBXQZ3mcwDjw6spfAuLK3VdrJqgXCdGDUHsBvRv02Op+V4lZ90Q epEIIxrRxngeynW+u4Y512ez4Qowl1preEx9zFxze6SraWzh6rDRtHS9UDFgP4g+tkxoqtjB /qSxYHsGDLhTU+wVIoe6iCQU3Xj9giGAKrXyWZ37wm7ONZZ/qUyo4ZmiOnAXqqAyw+Fd91a0 x8ftceI4uaMssLhVXbOdVWCiA+chIWVKg321a6DJjpdB+4zfuEcwFDPau8d6jBwMbBAGlA+X hgO1d7y4pQzNBEU0FS4HIlg3mMT4vAvExoVoZaZfGi++A4wcZw2sbC4vgp4NE20XNYxnuc7d FXUcKpKyc8idnKjjYMq8D15tTOcB5wM5wPkX34lWDvTwxQH66kAyVM65XxIHQ1KESRzTW5DL aDbBukhA3+pUD6xgOqyV5rYKE9Yd+N6mMAVZbQCfy4NvQ3M3ZIivxqpeIyr1StyGt23Y+bdd MmIaDIWM3ZkzzYoquXGlz1RsIEtC7khnnuN0xzeRea7Z4XUh1haYGjuGDmYaHqxZe/41m1+3 /kiVVOaomX7+UJmLgUIMNtarLrCNe/UsTaUGylS/VuWpWebiXGE+L4sbeoqlOVrPQugdatnL BdC4WRxDRTF/OsRANXbyYiAiWtOj2Y5W2Tn+X2PX1hS3joT/yhRP+7AnhxkIgYc8yLZmRgff 8AWGvLg4ZDahcoAUkF3y77dbkj1qqTVQlVQy39eWZV1brVYLu4x22RhUZo8/fT74sX162P7z 4fHp20HwVKFAc6brMMuNExlGTHa3ypuq6obSL+Bg0VAaA4K9KguWct4Dvpa5bDP6C+osqJPM r7iMq7nMr7pMl6EH6dL3y1ozaBlmiT2lonmrjJe4uiFFump0fAxQPyo3xh9kwP8ZtDr4uDAI DhK+t3bblw2NyoG/h5Vr/7QYji728saAo60cEPhiTGQ4b5KPgbRXixbVkflohMhU1mu6KjWA 12osymlYqSKPq9D4tMMWHnglBUY2GNYwuXhUX6ci917jz5Qa01nysCCDwTJ1wvwsZbF3t0Xi ywJEvB9Txfa4tKbjXqqXNziTdHjohhosDGsCIgYWGkO2XVOFKLa9MnhNBUpgiLYFfF9WBXiZ B5DcdA0NSZEJutzxlz9haQuuWM5oqeifnAjX5gwRqvQ0/3k7rq+55TfS4/p9OHa9uAjzKc64 3o+EOXW9WT1mEWXiqcVycHoSfY/rTOwx0Ry43qIecxxlorl2T415zFmEOTuKPXMWLdGzo9j3 nB3H3nP6yfse1VbYOobTyAPzRfT9QHlFLdpUKT79OQ8vePiIhyN5/8jDJzz8iYfPIvmOZGUe ycvcy8x5pU6HhsF6iuFtuqBBizKEUwmLqZTDy072TcUwTQUaFJvWdaPynEttJSSPN1Keh7CC XJEj4xNR9qqLfBubpa5vzpU7CSJBrYJk1wh+UOeCc61Mzr7f3P64e/i2s/3pNQN6pS1zsWr9 yBA/n+4eXn7Mbh6+zr7eb5+/zR5/ol8CsR2q0kbm2L3dGKj0RZS5vJT5NM5OkY0xwu74rLnP d5f161Lgfc8k++nj/c+7f7Z/vNzdb2e337e3P551rm4N/hRmzF6SjRZ/SKqG9b3o3CWr5Yu+ 7fydTVjEFuZJEmwY5lVVYzwV7/LLRorMxKJonRroS1CjMxRNKnfa0aNCdVWSYDHB3toa0sST 217ObEhuo6eiJbIQ5OpvnzGfX5U5ccTTOKzRzXfWld40af3vt7iTeIfeipcCXYWpnmzzX6G7 jdHZ8Li7619ZCPSJhDWf6/7ogJOl21TL58PXOU0cTcRyihlUbO8fn37Psu3fv759I+1ZFy8o JRgJOswist4Vrh4xtouxxdJ6gzJpvbtyKT6Uld26jEp8kU3FvR7a0dLHzY5LG4GZqCeUX5It LMppf/9oyjT+LOWatNftM8Ybi9Z0CVhEyivnqbrbvE9GUXeZhLC3cNDB+WzzKGSRQ8vz3/YW PkjR5Nc4UBlb1fHhYUSQRjL3yClsyzKoQtNr+pbsNRjKDQIzIvBHeGruRDUJA9YrPXIHjGq6 3nXstZv7Jjy+Kt3px4J671VBz5VNow+c/EXCStqWano2+gzxNaG/F3crlyRW6l5SP67HJSxR b8xzSNG6cyP3E+8NsI5ek2nOEKpEnDHJYcXatKbq1a+DVSdugjke0/SX/aS1cek2+4k4IM3w AOmvn2aCWt88fHOPWcCSrccowh2Urbszho7VURJnS7xDonDFvCCfcRkcsnu562E7SbzC463U fBk/NZPbYY2ezZ1oSU8znWKi9JiD5pn54pDJ9iQW/zIq4mfl6mJ3C6kz+qIk7t5UdRuB/YQM OeZ2yqsJgebbTjRI3Z805g1WRs6MBhLdebmZHV95LmVNZpgxQJlJzpz4wbPN0+w3+9ezDZ33 /O/Z/a+X7esW/rN9uf3w4YMTydu8oulA5+nkRgZDBl7+QE2bdszgxa+uDANDc3VVC9cX1ghg Wv6F6XUDvT80XGgbmqwpoD+ZS5RIGlh0FeqMbS5DbnSrErWaZszWexV0N1CxpRdAjSrHnibk WdvtjGCmtwg8YGhn0QZPwV9zX0rAUF8LOwQrFnZ3BAwyDuhB1aWNzGBdpMTOEwImdVad0vUF pF+FqAQ0spaoVLvaJV6I0Ro6UCD5QkbR9zHoGFZSN9ZABBsjHpijM9xeMbsAOdov/J4E359a Cu2gdAMN7xXj0sRJGNphnk/j1GJOEqPNEyF5EZjebFe+sMp746nttnnqLgJKNe4Luq4/kIU1 jM25mdk7OZ6lcZapnE5BFHNM5A3Noy7ekqiW0Bj3vdLJkezwuMUbUtEtgaVQeZuLhCJGgffG Ok0U6C3dyIuetGxNqWqqOu+ZIo08ssQBN5pLZh2ZQ62U6TUNCj8qN6NO1igYmtA3D+qvvjYz Uzg7vCWmmd3IyOx+VLVplUTtgbFk2Zcm//vZVSPq9btklrU3khj91BoW/H1ShhyuVLeGOlj5 Oq6lC7240W3OvXhHi6A7lO6WKKnHwCARGHtdxxUTZNymZpL25qDGXBJF822y4kVkbfSlVJ47 jQ6wouXJrIu9FXt1C1+bhiXrJKWb9pW3yRSkN5778xOygmGL8Gsi2hDeaAMwQ4Oaugxwo3MF idn2aeqpDYq6LWFts67COhiJaRFEyyNpRAnFCPOj3vEtvUDfIy7KEs/no5uAfkC2/Cm+URya EifoqiLBJ46HykI34nMdFdkPHdmzaFIvg9g8jqA7RES61tu9aqpZ+71hPUX62liLgQlkJDoB s6k/EOx6wjjNBq0AAzx7nzFBnhVg18WHBIbZdSEaviu+RfOZNa+UZV/gclt7JISdylTFGKbS 6HK/HrSdtNs+vxBtLj/P3DN1ugBQlYRFntstTRtpXR98p1HsBngoel9jS9Br2g9DjFrgpb6/ UPolaG1FFDTK/MkxU7kC7+0bGqGyE7+w8GPWcpP1Re2hOHWVaFPN6ckks/IHtnNjuGhUm6aX HpiojpyIMjopbk578X9RRVaZHKp1quZHZ8cYJNhTIJNe5ejqkbbuyXqUE8zFN7qizgun5SEy zcUeDv3WQ5xjbiQBz/ReyIIpVH1AJtWXF0CyO3c2vPebHZMci80qczSl8Nd4rj31/Zw06S3U dph2oCJ39Dmc3lowVf754HK+nB8eHhAxnMnMtgS049pL45xkMUv2GKaRhULxboBEFCdWVfbo dtgJ3I6v1yrd2REmBaxP0DKlu5n6ood6Z0hOiHXLiIpcrcqCDNKONqeP0qrWTNbEPc/obkbC 6ZhVjMFLv+yKVJenu1IxFlOzd8OjQ5asIg+gQzV9Td1hj/Uin+4IJ5mlwqjfA0WtUaPKBB7Z YGzhVxsfwYgJRZX1OUbKKQO63Pi23qqHmve2A6y9Jk+Wee/uy41hvEn/HcOJe3FfNEqt07rr 7KabQGPCaHvYZ4fuupbD4eb0cNesfA5awJznbL9f8KxWXI4CTr/M0WccQvI+kZOEed9+mYiz 8+6ohJPFz56R3uwmoonQ9USpg4M96MBdYE/TxmCiu9orRKlibhtEoZiZCJuoXW+RQCL6xiSc wegGZru9/fWEkXeCjUo9ru6ehxkKZmTUUoDAQcx1yQ/EuwZP+GUeao9pBfjkBZcVstXBQ3T3 DwVCZMklE1xU6DPDZunGbploai60x+Hdy61zfa8JKD2FwiDlWfP55OPHo5MgIagXGGg3zCss s7Mev0fGNwQHksE56lACZxZyx54vIS5TfycrkNGL60Ze4C1VNlOHUeG6ylV6DfMO3h2lTFT0 PWlz4uOHn4VPFeRgPsVhZQIttGe/VvPQDkBtpdvIowT0keq6ihI6W3gQsO5sv8TbvvcK9xn0 PTy7Oj9cHMckQbfsnDOyeH0xmz1RQ5Moqn3UOxrOJEp9GCf+WtALuYNTsROkfQEFGgg5EhTj Ai9kGxU1RsQZKxoy9jmpYAk6BMkb6KaFFC1aKOu0GVS2gXJ2Wey0TW9OAu4G+ALn5QIDOXHj O9K4qWMl/CdbtXrr6XGGmJI4uLu/+eNh5zTtCmEtDO1aX8xLXuQLLD6e8PMVI/txzgfiCWSv ak80Ivj54Pn7zZx8gInJZLourRN0P2EJaHqwUHL3FHRdRFsB1m91zhPYS4bNx8MzCiNiBvOD P7cvt3/+2P5+/vMVQaiDD1+3TwdchnRL1ptmiizNC/JjQGfeYdn2vRtWBAntc2oHGO3y21Ke ySzC8cxu/3tPMjvWBTPNTJUbymB+2HYQiJqR6H2y4wDyPulMpHuUqGl6P3je/oN3/k5fvMHB DC2JrqeuXmt7FxZrDDfp62sf3bhjpYHqCx8xS3c05pCLGvGG9VFVSp9+/3x5nN0+Pm1nj0+z 79t/froRp+117CJfkZuNCLwIceKw4oChaJKfp6pek9uyPCZ8yHNR34GhaENssBPGCoZ+SGPW ozkRsdw3rQiwQpRixchaPEydHuGn0qN25C/crdRqOV+cFn0eEGWf82D4+lr/G8Coa170spcB o/8Ja76I4KLv1qA9BzhdEY7CaGY1VqXwY0EdsBwuFca2LX69fMd4qPqW7Zl8uMW2jpGe/nf3 8n0mnp8fb+80ld283ARtPk2L8EUMlq4F/FkcwqxwTW+PtwKtvFBB/xskPARj8hTeL9Eh1O8f v7phBsZXJGEhpV1YDinTEKQbtsRiuXsceqps5iUbJkGYsq6a3QVY65vn77FsFyJMcs2BG+7l l8UuJn529237/BK+oUmPFkzZaNiPX+qSPAqFkHN9BshufpipZZyJPbpix6poWxkJveJ1Pf3H rpRxWJhOoaB56Zubw9JpigzGBhZ2zzDsYFDPOPhoEUpbbS8Eh7Zt5RFHQepxElS4ODkfirBt mxQjaYVDzaqZn4Ww1h35uhx0PQ+lmpqXmUfvfn6nV2WOs17YgwCL1S9STtIeWfaJYpJr0jAh 0C+uloppeiMRnI3z+UgOU1HIPFfh7DYSbz2I3wifKC4375dcxEXRo5z/EuTCnqHR/W9vu7D9 aHTfYxlT0YAdDTKTsWeW/AR7vhZfGAWqFXkruD5n8Oj32PkpSsQebKVkMiGbmpjEKQ6dVUYr a5TZU4qOSDSZToaNr7uq2NZu8VgTGenYmwg9HF25+zeeDPmo6RgFBlYnd6BMLWNpV+DezOxG DrDY6XE4FJG4AztsvbtQ8ubh6+P9rPx1//f2abyZhcuJKFuMGMjpyVmT6Guuep5hZ3LDcHOe ZjitBYkA/Et1nWzQFFXVYaHrzThuRTISfBYmto2p7ZMEVx4Tya5v9ORAXVNHJtS2dBBakXkX /AYcO324PExrLG+ijseeTsl97QQfsvDLRsr8ZOkLEQ4JFh+y9enZx9eUaStWID3akHvRPfZk ESfHtC9D1Yykvo+H9GN0GvZQ7elRrDqZem2MGgXN1glH1n2SW5m2T6iYtpqkskF3OTxCNWgH Tzem03nafpqOfPGs2WmX7r6CMQHV0gRa0CF+MH3n2ooUL8/5j14qPc/+gxGc7749mMsH9Akw 4tpgN/TQXojvObiFh5//xCdAbPix/f3h5/Z+MneY4BNxW1jIt58P/KeNGcopmuD5QGI8ZHI2 7WToDb9z1/Q1ImFoeZdZ+m5nFh+aqu9oaKiR1Z4i7nMIwtiR6j1khW78xLiMNL3tXD9gDDtL 5gVFqxgU/TsamYuNcQRBez5N8XLpv2N0JMtU013j2Rxj42yqjjhp6tS90HqkLJLrWrg7rvZQ jPrinV8j5a8fpsqu/u4i84um9+3lCNs7WOC9wVZ9okrRXO98S+zlHX8/3Tz9nj09/nq5e3CX rMZU5prQEtU1EndtiJ18526x47nQM/qj3SNBYzG3XVOm9fWwbKrCM/C4IrksI2wpMUSdcr2o RgqjN6P7iXGfCfk6VbgR7vphjFQUdvpZV9S2xJ2BDYsCY5ikRb1J18bDnxyum3wmlqir6zhM da7o3JvC/KI6MoWk8xMqEa7AIXtdP9Cn6NIe1/ThbrLFYRSWyfWpW7uEOWatwFZENFfeLokn ARXAhtJKndPeuUpCC0ZKcmS22XQZmt43Vg3b6MqsKthPBh1yiq5GURMfi+IY7ApVGaqiajRQ XEFjZVJGlEsZdFRWGjRXHmdT2XxB2P9tTX8U09cb1KGsEq6+b0Hh7p/vsG7du4YGS+DhizDd JP0rwHxPmfGDhtUXVbNEAsSCZfIv7jahQ7jRxYh8FcGdzx97u/apF+Q0XCPxIFWVV2T55KLo AHEaoeCFeyi3hyfuyepEt/ayDf1M0IW6ldgdOGw4p+6IE54ULLx0z5AnNAYtcaR0Fbm2ShWM 7noaaATxLMdYMcS1y0DoVUTjvmsXMhL6R0ctZjadYULHGNF42FV7HxNmaOi1ARfufJNXCf3F DAtlToP4TGP15BWq+8pSx33Bb3b6ZtMPfmCi/MvQuac10InYNUCia8mugEFnqCt3M6KoFY2y FxYH8MvMPYuiMvRxVi1xJepTDFnZUTVzWaF5IvCKr4hvtRY6fT0NELetaujk1Y02pKFPr24M Dg3hhS45k6CAoikZHIP0DcevzMsOgy8pmVwBOl+8utfLanh++Don00qLh8dydoqa2kCLzVKo kmkeeH8KXX9PFCqxw+in939bUsfZa1MDAA== --pWyiEgJYm5f9v55/-- From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [PATCH 1/2] efi: Iterate over efi->memmap in for_each_efi_memory_desc Date: Mon, 11 Apr 2016 21:24:03 +0800 Message-ID: <201604112150.cvcV2wEO%fengguang.wu@intel.com> References: <1460379809-18490-2-git-send-email-matt@codeblueprint.co.uk> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="pWyiEgJYm5f9v55/" Return-path: Content-Disposition: inline In-Reply-To: <1460379809-18490-2-git-send-email-matt-mF/unelCI9GS6iBeEJttW/XRex20P6io@public.gmane.org> Sender: linux-efi-owner-u79uwXL29TY76Z2rM5mHXA@public.gmane.org Cc: kbuild-all-JC7UmRfGjtg@public.gmane.org, linux-efi-u79uwXL29TY76Z2rM5mHXA@public.gmane.org, linux-kernel-u79uwXL29TY76Z2rM5mHXA@public.gmane.org, Ard Biesheuvel , Tony Luck , Matt Fleming , Mark Salter , Leif Lindholm List-Id: linux-efi@vger.kernel.org --pWyiEgJYm5f9v55/ Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Matt, [auto build test ERROR on efi/next] [cannot apply to v4.6-rc3 next-20160411] [if your patch is applied to the wrong git tree, please drop us a note to help improving the system] url: https://github.com/0day-ci/linux/commits/Matt-Fleming/efi-Delete-global-memmap-variable/20160411-210837 base: https://git.kernel.org/pub/scm/linux/kernel/git/mfleming/efi.git next config: x86_64-allyesconfig (attached as .config) reproduce: # save the attached .config to linux build tree make ARCH=x86_64 Note: the linux-review/Matt-Fleming/efi-Delete-global-memmap-variable/20160411-210837 HEAD 8fc82e8aa63ce89d26d143cce41530319212f7d8 builds fine. It only hurts bisectibility. All error/warnings (new ones prefixed by >>): In file included from arch/x86/platform/efi/quirks.c:8:0: arch/x86/platform/efi/quirks.c: In function 'efi_reserve_boot_services': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ >> arch/x86/platform/efi/quirks.c:200:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ >> arch/x86/platform/efi/quirks.c:200:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ >> arch/x86/platform/efi/quirks.c:200:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ >> arch/x86/platform/efi/quirks.c:200:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/quirks.c: In function 'efi_free_boot_services': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/quirks.c:254:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/quirks.c:254:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/quirks.c:254:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/quirks.c:254:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ -- In file included from arch/x86/platform/efi/efi.c:35:0: arch/x86/platform/efi/efi.c: In function 'efi_find_mirror': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ >> arch/x86/platform/efi/efi.c:125:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ >> arch/x86/platform/efi/efi.c:125:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ >> arch/x86/platform/efi/efi.c:125:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ >> arch/x86/platform/efi/efi.c:125:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c: In function 'do_add_efi_memmap': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:150:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:150:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:150:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:150:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c: In function 'efi_print_memmap': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:229:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:229:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:229:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:229:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c: In function 'runtime_code_page_mkexec': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:550:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:550:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:550:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:550:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ >> arch/x86/platform/efi/efi.c:547:8: warning: unused variable 'p' [-Wunused-variable] void *p; ^ In file included from arch/x86/platform/efi/efi.c:35:0: arch/x86/platform/efi/efi.c: In function 'efi_merge_regions': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:600:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:600:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:600:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:600:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c:597:8: warning: unused variable 'p' [-Wunused-variable] void *p; ^ In file included from arch/x86/platform/efi/efi.c:35:0: arch/x86/platform/efi/efi.c: In function 'save_runtime_map': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:650:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:650:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:53: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:650:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:964:30: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) = (void *)(md) + (m)->desc_size) ^ arch/x86/platform/efi/efi.c:650:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ arch/x86/platform/efi/efi.c: In function 'kexec_enter_virtual_mode': include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:962:15: note: in definition of macro 'for_each_efi_memory_desc_in_map' for ((md) = (m)->map; \ ^ arch/x86/platform/efi/efi.c:829:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ include/linux/efi.h:973:37: error: invalid type argument of '->' (have 'struct efi') for_each_efi_memory_desc_in_map(efi->memmap, md) ^ include/linux/efi.h:963:38: note: in definition of macro 'for_each_efi_memory_desc_in_map' (md) <= (efi_memory_desc_t *)((m)->map_end - (m)->desc_size); \ ^ arch/x86/platform/efi/efi.c:829:2: note: in expansion of macro 'for_each_efi_memory_desc' for_each_efi_memory_desc(md) { ^ .. vim +259 drivers/firmware/efi/efi.c 253 * physicall address, determine if it exists within an EFI Memory Map entry, 254 * and if so, populate the supplied memory descriptor with the appropriate 255 * data. 256 */ 257 int __init efi_mem_desc_lookup(u64 phys_addr, efi_memory_desc_t *out_md) 258 { > 259 struct efi_memory_map *map = &efi.memmap; 260 phys_addr_t p, e; 261 262 if (!efi_enabled(EFI_MEMMAP)) { --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --pWyiEgJYm5f9v55/ Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICIWkC1cAAy5jb25maWcAjBzLctw28p6vmHL2sHtwLMmyrNSWDiAJziBDEgwAjka6sCbS KFatLHk1Ujb+++0G+GiAoBIfbLO7AeLR727Ojz/8uGCvL09fdy/3N7uHh++L3/eP++fdy/52 cXf/sP/3IpOLSpoFz4T5CYiL+8fXPz/8eX7Wnp0uTn86++no/fPN8WK9f37cPyzSp8e7+99f Yfz90+MPP/6QyioXSyBNhLn43j9u7WjveXwQlTaqSY2QVZvxVGZcjciaq7zlG14ZDYSGF21T pVLxkUI2pm5Mm0tVMnPxbv9wd3b6Hpb7/uz0XU/DVLqCuXP3ePFu93zzBbf04cYu/9Btr73d 3znIMLKQ6TrjdaubupaKbEkblq6NYimf4sqyGR/su8uS1a2qshaORbelqC5Ozt8iYNuLjydx glSWNTPjRDPzeGQw3fFZT1dxnrVZyVokhW0YcpgWp5cWXfBqaVYjbskrrkTaCs0QP0UkzTIK bBUvmBEb3tYS71DpKdnqkovlyoTHxq7aFcOBaZtn6YhVl5qX7TZdLVmWtaxYSiXMqpzOm7JC JAr2CNdfsKtg/hXTbVo3doHbGI6lK94WooJLFtfknOyiNDdNjRxq52CKs+AgexQvE3jKhdKm TVdNtZ6hq9mSx8ncikTCVcWsoNRSa5EUPCDRja453P4M+pJVpl018Ja6hHteMRWlsIfHCktp imQkuZZwEnD3H0/IsAYUhR08WYsVC93K2ogSji8DCYazFNVyjjLjyC54DKwAyRvJ1kyzChec yctW5jkc/cXRn7d38OfmaPjj3Y7TFmY7UUOtLuvwZB33tWlesKW+ePf+DlXj+8Puj/3t++fb +4UPOISA2z8DwE0IOA+efw6ej49CwPG7+Bk1tZIJJyKUi23LmSqu4LktORECd5xKZswQ1qyX hgFrgHxveKEvTkfqvFd6QoMm/fBw/9uHr0+3rw/7w4d/NBUrOQoKZ5p/+ClQk/CPU+KSCrdQ v7aXUhE+ThpRZMANvOVbtwrtNCeYjh8XS2uJHhaH/cvrt9GYAMuYllcbOAhcWwmWZVSOqQJW t9pOALu/IyuykNZwTTgAmIoVG9BAIEOEmIKBoY0MJH0NcgfMtLwWdRyTAOYkjiquqa6kmO31 3IiZ9xfXxIb6a/px4YPtghb3h8Xj0wue54QAl/UWfnv99mj5NvqUokcGY00BCkhqg9x08e6f j0+P+38N16AvGTlffaU3ok4nAPw3NQVhaKlBBMpfG97wOHQyxHENCItUVy0zYMuJ9spXrMqo 7mw0BysSqLzgiqyQWgS+C9RXQB6Hgr41nuK0QKM472UCZGhxeP3t8P3wsv86ysRgjEHErEKI 2GlA6ZW8nGLQRIAWRor4sHRFGR0hmSwZOBsRGJglMBaw+6vpXKUW8Zd0iLemtcrLx4CPl4IV MSswtZlnRnTNlOb+u1L03bRsYIw75kyGhoeS+EqSYjbgQ2ToQhQMLfNVWkRO2yq1zeSWBz8E 53N+7JvINlGSZSmjSitGBp5fy7JfmihdKdFMZM6zs1xk7r/unw8xRjIiXbdg1oFTyFSVbFfX qENLWVHtAkBwVoTMRBoRcDdKONkZxjho3hTF3BAiSmCGwchoe5zWlNjlg3P0wewO/1m8wD4W u8fbxeFl93JY7G5unl4fX+4ffw82ZB2yNJVNZRyfDKvZCGUCNB5cVJshz9l7HWkjW0h0hiKY ctAoQEhOMcS0m48j0jC9Ru9b+yDnpwYTWcQ2AhPS36Y9LZU2Cx25adAqLeCIF52Cb7qFC6Vx jUdhFzkdBOsuipE9CCZnFQRkF2enUyA4HCwncYjDgEQFPNCvs7XRlT/92sk+nKqQF0cUU8k0 wXv16Xso/KfymNJDXnMVN2ceFfMZ2CPCUwTNzdtEQugc4RH0eyAYq06IPRPrLh6dQCzXUK8F Z8hBm4vcXBx/pnBcGcR3FD/4RtYwNeCZOU8LYpnMKZE5/7tqIO5LWMGqdOql29AgQUUK0zQV Ro8QHLR50ehZ1x+c8OOTc6JXZl7gwwdPgVe48oyo5aWSTU1ExoZMVgBo1gAMe7oMHgPvYoRN 35IU6+5NoS8dw7jn9hIiUJ4wergdxh48cS+YUG0Uk+ag/8H3uBQZDbxBYcXJHbQWmZ4AcxCi a3okHXwS0gH/QDBFTxRYD+fsMJMZMr4RqSdLHQLoUUNFuL9fKFd5ZDrPzMMO07VNE6AZMF6m B31GMPQpDX4a5FoacoB/SJ9hC8oD4M7oc8WN9+ykBGOA4JrBtOcYodaKp2BZs3lMuyGhgPLT DshAcII2plFkDvvMSpjHOR0kOFFZEHgAIIg3AOKHGQCg0YXFy+CZxBJpOgTp6GQFyY7QeQZt XsGCZUYvwukakR2fhQNBOaa8tlmLQKN3qR1dr1VbF8xgDo8cVU24JTRTwZtK0BYC75q8HBi9 RBs58cncfcXAuNoJfA1P+qrUU0gbpWtZomXRgDGAJXsWaaBIIIYesmJU9IDvvWiZSAYv8tbP fM6fHE6PDhdROrAekuHitfS2LpYVK3LCj9b/ogDrd1IAXE/kDFdeAoIJwnQs2wjN+zGBjFp9 T6evU9H+2gi1JoQwd8KUEvSabW4to+LouGrMG5M5EQhvazdln1+yDlOXy673z3dPz193jzf7 Bf9j/wgOJgNXM0UXE7zn0ZOKTt7lrqav6B3P0g3prRXVOUWTTBRhl7+12ZNB1eqCJREFixP4 ZHKOrEs0KiOYz/uGlzYGajfg4OcitXlGzyzkovCMtpVmq6upbPAtTwNGlW5wBNIdiRXfuqAc am/xjYFVKRyTkleHmbFfmrKGoC3hdKfgckOMtOZXoAJApvz8EGjBcJJuVoiR2jzQX2MqbgyQ cNm2+gHKAaQKbUmKAUDkOiwtz+GsBR5CU/kjAp8KmQrdSPD0IbDwfJm14pNlW8MH8EZV4MIa uFF6VC5DCpeEXhwMDbMZk6N00Mh7unuKw984uzFpYhErKdcBEmsQ8GzEspFNJGrWcLkYa3b5 gIi3Ckb5CpwGjM6tIbAZyuAtii9BY1eZK+h0R9+yWgR0aRFbH9CFgmtxq0uQXM6cJxPgSrGF Ox7R2q4htKR/fX20NAbSEMNGJu4VlOo2nDVlmNO05xeTna4usnHSp1kOx1LWWIUJZ+gY2Z24 ddLD43TjXOZ1BpfJZqaE0SlHdPZc4qdP6UZoZZER+thWNU+RoAW94kURc3C3yNQdIAoPx7y3 5xGHyJhTHNJMYtQpBdxnUzAVDUOn1HD6MpqxcBsA0eJbY8Vv7el1i57Jk4QqZJohmRHxClN0 vCs/RRjC8RaWpsByRjlSy9y0GSyLuNOlzJoCFAwqR3SQ0KeKLJFvQR+j04opUcMmATDW+uxw UASynFb6piXaYAIfN9Z2I6NJYXZuEkpyHlxafdXpOwi+Q9l2Et2lKz1xQCEAJ68rD5IsVPeq Ds/Sbpgrx6Ry8/633WF/u/iP85C+PT/d3T946TYk6tL+kUO12N5k+4nRtzGunG/jsIwjP1PB oBQf29OoOFCa0/ZzlMYeWm9OnLlZcWTSqO/EElHlNIhCvwVEiFo963lrdP3G7FTHoyHTumw2 KEBqujpUU0XBbkQE2am/6Tu0SoeyFj3jHk2TTyPMvSiKmZkFS7PH9Ip81MlJ/JICqk9nf4Pq 4/nfmevT8UnkEgkNcOfq4t3hy26ss3ZYFAnl+V8BYlJzC/F+7SxQVTa9WYC7Q5MLiZ+V67ME iV5GgV41akwpGL5UwkSyDaAxpDG+925TWWVmmxusEVW93Ne755d77OdZmO/f9jTuwbDBBvIQ y7EqpVEXA5e/GilmEW3alKxi83jOtdzOo0Wq55Esy9/A1vKSK9Al8xRK6FTQl4ttbEtS59Gd lqBBowjDlIghSpZGwTqTOobAgkIm9Drwy0pRwUJ1k0SGaAkOg9C29yGCbmDkJRjm2LRFVsaG IDjwefUyuj2I6lT8BHUT5ZU1A30dQ/A8+gKsCJ+dxzCEsyeHiLLWGb6e5YVc6Jsve+x1oIG+ kC4dWElJ66EdNAMrjC+ZYtKc1iHzX7v8bYemqqPPdPdzvVE2d5NORuLa3hjVv/Pdzd1/B00H aoqXtRkiCy+h7hdCma6OPXapXDtUDWEoWqL5YgIzEkMvVZIKtOvbsoNB3ORlRf1qey8zuCEE tvX8zJLZEu1IMo8JB6vL+NAJfMyiO8X4/HSzPxyenhcvoBhtHfJuv3t5faZKsu+RIlxKIyyU w5wzCOy4S2gHKCyI9XjMTQT47QmEnKkPK2urv4kHBe5cLmhVBsnA2QffD9vNJglDRGMJxq/7 I3QzWXyz8Z/jL3PdV6XIYuCi1sG2WDkua6wwjFKVt2UippBQD+FUA/913R05E0VDs1FORIE3 4aAVNjV1XYnEmb6CKHkjNMRQy8bLD8FBM4yMppBwKQN8nlMdvxtGO9RohAUP2Axx5EPqzWpT +iBwdpaJD9IutxFUUOyMNk9J7WQ3K1HDmzLcOIKmI4dNzsaAA0VQd6ykLZW6bPHoSK3P475d rdM4AhON8T6nEvVPRDEOXRI0M9/zpsKqRtf2GVZTkaY49pBnFGd0IJddHiNofMb2jECE0H6X TWnD7Ry8iOKKFNCRwJ58aopS09Zo11mAgT4vOE1s4Twa7Q1K2xQMwjYFphD2sIYKQc1NmGG1 MF42BXbDKEM9qToJiTOak1qCHQax9TqjU1YA+OpNcF+cbZOr3qQRSb4U0itmuiErXtReNZht PS1W2W5bCK2Pfx4u1ykFXdLZLahM6Yn3ZtNP1PTwjSyA/2HtUYbsqCIs2Y+34uOzhs2PtVOd j40fE6Di4GYYV8JLlFyDXKOQYdoj0Lcl1a8dIGSXHuyxSw/EHIRegeqPTfOLx41WNiCuhqi4 3UxSZZvy/CxyJDjo+GzyEQHXdS62oUT1bVcda3renjgnWgf8ERAaEPEIKNz+iPAOYARjzsTq jNxLbNO0rDVrGHUEp6QDALCjCBPY9eoKJsgy1Zrwcwr3OQOmn6NotOQ0KskCSNcGzdJaBBhb 08VmOvC/8MraoMhr2zQ4FdZuhFOVR94CXU8eaPhOhkM/cUBP5LrLyqJS6604RM+TBFOHCtof 3eFhE8MajUOLSU7CDkXBl8CInc3HZFnDsZV8v7s9Opq2kr+5inELENI2LIYhJ4Wd/n2hKzxY Vxjo98M1p3qAHOTWKPhPDLWBv8qhmSVGYeuRrVtt3Rq55HjFb8w1XV6QpvDAdkutN8zxKcTU TGWR4d1+BYaoQQAsN7ZlqfJE1b6u8xpazMUF+G6+lTR10Szn4N0+Y2g4W7nxzq4AJ7E2LmBE k3Hqbc2ddU+Gsm6iO0zw6L0Q1AFcEJoGkWsEVoqlCo6ILqBPqcfo3lAjfaTS4lcPF8fD4sAK UYXmHDzw12gRDu3stC611t7XBy4CtWzp+lUzdXF69POZt4e/9Nfn4KtLEGJtW1F8g/N2tSGG Bdm4ZFdeITdKVroehlg1p+Cssq4hjR4lGAGvUptSbQsPk6p/D6JeNgLx6yJ98ZmcSbQecu2/ 7rqWkmil66TJKG3YotB/GQIXVntefE8aRCu9K22/PunLyaEaH7/tyblSflHQtj15HPNXJLbg a+HTupXj5yB4dCHe4HfQpTUaTJftON50QhDmDLCEUWOrgG88azx+tCPp1eR9AT6w89jd1iYQ vmKHhGpqX1aRBPUbBk1lz/cjoRseunwaQlVMKF+SmKE0ivq/8AQBIZyj8FoCfXivTHprfDRD ZoUCK5HoR/fEx972WWjL7UnXmD6yIhK6Oq7s5m9Me6xEUgr1NgoefAEsFuFh+dfGc+E9AIs1 iQ+xdXmi/F3198Lvfj8+OooVVK/bk09HAelHnzSYJT7NBUzjxx8rhQ3tRMVif03w2Po9Mg5m 23iu/BKPwyTXokQJilGkiulV0BTgRv3iwdCsCAxNQCMo/Bbv2PebFMfIxfi+yFBetXWyObht Zx6+8TsNHDKbqkJXyr5BR1Zkmw9g5In/TWBn/b2wfxQ2gib5FpfxiOO6yukm05JefKcWhpCk sj1+kcsOCbuw+s25ZDRB3Oe6E0/Zd1D6SVxHBz6OUiLzC3zICUVmpi191usqYA+1/6lSBER9 kjlnLE4Tel6YrHXdky7msL6lDZFcIvbpf/vnxdfd4+73/df944tNxWI8s3j6hoUrko6dfDm7 4sz7wryriU8A0xbqHqHXooZzqmgzSfcCzB0VBXaB6ynS98vAgJuM1CfGe0JUwXntEyPETyUD FOvjU9pLtuZBypFCu28oj0fh8LBL6hGU3hRhjrMcCoERFGavp6c7bCUYkNk1hF9pUajNL9mP S+i6g7ayHuJnpwAqa/+MvH4ueB7aAOzXZ+TkLn91ITzp1JsErNPxkRsMKSRpb0be9Z964bcq VE8Kxi4Ath8tux4THFJnaTBJ19fpNmC/9dfTnyuwlPY6ll7JhYJbv7naTe5v0S0BAu9ch0kP i1J8M6ie2AfqSAN2ZuL+WgQLd5YwA/H7VQhtjPGLzwDcwAtlAMtZSJX5pSwE2Xys4sAAOlzP mHwV2WQXAzKAi7oMbzlqloI3sOUS3C1mJvN1WbUA2qV0BivittJoI0GAdRZLQLrV2U8SHMNF bMTIDuFCU2QFGWTqUBD9fLBbB4REwP0TeH8OziTMIIX0c56OC5PwbnwHk+y+5GYlQ1yynMgC hCAN6rQVU5ktjsuqCNcE/wuHISjaDeo4uOZhj+YA9/s3I+Qj5XLFJ7KBcLgFzibHalFzAfRI wSGEjsLxpyhid863ppCeuhf4CQmwqZ/LUOkcaut00gxWW3e9//ZzkT/v//u6f7z5vjjc7Pz+ s15GyUt7qV3KzeQbxQHpR7IeGHYMPEq76wZ0n9PAqTHRi/1lVfA1VJQWN4s1uXjrZmwIKlz7 tdPfHyKrDCLwKvv7IwCH8eOcj+odpb/fKEW/yxn8sKUZfL/+2bscF0u54y7kjsXt8/0fXiMH kLm9B1rKBY918Cs4Vn+laT/KR/SW4W0M/Jv4WGDp+DB7apW8bNfnwXxl1jElrzQ4iRuvt8vO WUMkBBbele+UqGQw9amru5ZycJ0PX3bP+9upn+xP5xrMhhMWtw97X+R8q9dD7DUVLPMcbA9Z 8qrxjBP6MRjP6ZEulU1d8CzCj+66unfb1ZX7r0/P3xffbEBw2P0Bt0/7dz5DEO4mBduBv6rD Kq9RdSToJ0xeD/3hLP4JSnWxf7n56V+kBy4lahlNXyaUl31EWFm6Bx/qFfft0NDXRGBaJSdH BXcfP3kojm6bl4XtDSOOQwKf3DMHCAD3SqUTmkn+1MK15/p3kImXP8J7j3gsd/a4t3XfSDaq l1iJFJdfl/4OMSU9k9u2t6DFBBD91Ql7F5OdgRvgkp5dtOr/Loz1erwckm2jSAX2W9rMrxf2 rIz/4xQ43Pv2HwGCNgbYO1XBDmqmRfCRXNC0hyDXvxJlkzjv+OFHiGlFUsax6eyMiGmvzadP n47eIOhCojiFXtXDF3ooiF+eDi+Lm6fHl+enhweQ9omStzySXdpGooDxM9KD1v1+mf+Nj62S JnQUFq3oc5kKFj7b7u02FdRVgGFORruFv7/ZPd8ufnu+v/2dtoldYb/FOMw+tvIkhMDpyFUI NCKEwDm2pqGtiB2l1CuR0HVnZ59PfiaHcX5y9PNJuG/MNLkP5UaMgvPK6PecHaA1Wnw+OZ7C sfA3xOwfj0J0J1Vq25pta0sEkSmw3FwtvR7LAecL7DhtU2IaMbL0tsTXtClIaH89avft/hab P/93/3LzZcpSZI+fPm+nM6a1brcRONKfncfpgenJgVu7e6Xzwd7yP/c3ry+73x729vcYF/aT 1JfD4sOCf3192AVmG79JKA1+vEJYsP98JIbCVl/8tGv4iYUi71Ji9DMGN1SnStT/p+zNmuS2 kbbRv9LxXpyYiXj9uYq1sb4IX7BIVhXU3JpgLa0bRltq2x0jtRxSa8Zzfv1BAlwyE8mSz4Wt rucBsS8JIJFJJnW3bTENKtm4cB/lCutBQYL0NFlFi0BU1AAcoqZ1c8W25galXVpS0Hc5gUYD nPzm9O68sxnFv7TvPznoVK3OttuVxMpEHlt11hE5Y52QIvXzZLBMFfdG4NE6OhAlitSsBcWB PjEAMO0x2w+K57f/fPn6LxBnPWHNyND3OE3324y4CI0IUO2mv1iA657ogJpf1pIig+jBj4X0 aWdGbKbI9RYQ7v455cFhJtEN0dy3hGmYkihmmTKYhvEAP15FqlxVTrGCmk0y6HA6afWiasLt 1a41IrN9NYXnnj4y0NJwh2+EcxpWLkSErXQM3DmtdyW+3hiYOIs0Wb8NUxUV/90mx9gH7V2F h9ZRzSpQVcpDDjDqzZi7cgIWDSIQD+GlKATbVFBbtnACdLMeK5XrvD3PJRCNeP0IWhLlvfJG UHXGyyBAp0Quz748ecBYdk17VRsdGZDqiiG831rQ9mievGVE0I0XuNZwmgbkRJaHuB3BLk35 t3Sgu1zElQRDpQkwQKbLwBNSNB4hDvPnQXj/M1A7vPIOaHyS8YtJ4lKWUkTHBo+CEdYT+OMO v/0c8HN6iLSAwzUXvZ4cqEyK/5zi3fUAP6a4wwywyszsXyop4SSWCxAnxFBZv0DvRFNrw6OQ rl69z6D2xA3XEADq62YIW3M/CFHIhrP6AH3z3gxkK+RmCFM1N/ma5YPRfRX/8j8fvv/68uF/ cNXnyYpcgJt5ZU1/dYsH6OXtJaalz0It4azpwJrXJvitJoyttTfFrP05Zu1PMhBvriqeO4V7 vft0cipaT6A/nIzWP5iN1jenI8zaKuuMDXEJEIpDZnWLaKL/0yHtmlhPArSwGw64KW7M/peR XqYBJMucq9/pFQvSPe3g9SaH/QVwAH8Qob/egdhIN/QGARu6oI+SRzUxHQ26iVUnVewf/U+q 46PdgBkJJ6cKXSYEt2owQHxnNRL+rL+rVXJISXTu0PDL12eQYM0O5s1s1SesxI8xS/JwR3WC 9A2KGUv0eWYZ1g9A7jIKsLNUFFa/jKDW3B67T8CBW9Y+mPJbD7OguaYnOHejOkFyI0SE7Pfe 06ztGBO87YYs6sYqWJm9dxxXMkMlR0TouJn4xEggmWrSiWxEcCEQTZB7HufAHBfBYoJS+AyU MIJ8S3jTXazuXjFV47qYrM6qmsyrjoqp0ms19VHjlb0RhgqG5f4w0vzZjD9MDtnJbGJoBEXk /bbn+XiW6OCJvjNSUk8YWa8HASV0D4B55QDG2x0wXr+AeTULYJ3yc/6xeswexeTw+kg+4vP9 ALG964gb2J1MDUwD96zHpKZYnjYRRWiTmMzuOgvSCLP2DuhX3GomgGwmbDpdIZqBSD+wBKF2 KMT6ReNNwvYzevEwYl4l9TZ/SMUlp0qstSl8f0l8fGjG69Bkdgm72jO4b3cfvnz+9eX1+eNd ZwpfWr6uDZ/7MQWD9gbtjGySNN+evv7+/DaVVBPVB9ioUivkUhCrMKxP+Q9CSQKEH+p2KVAo SVLxA/4g64mOq9shjtkP+B9nAi7+mJaKFIwYhxUDlKK8NAa4kRU6UIRvC7Bj+YO6KPY/zEKx nxSDUKCSiz1CIDiKI4+DxUA3JswxVJP+IEMNn1mlMFQFUAryt7qk2Q7msgxKwpjNi25qu3CQ Qfv56e3DHzfmhwYcBCRJTXcnQiBi+FTguQFiKUh20hPS/RjGiLLkrFwMUxS7xyadqpUxlL9r EUOx1UQOdaOpxkC3OmoXqjrd5JkkIgRIzz+u6hsTlQuQxsVtXt/+HlbuH9fbtPQ2BrndPsJp vB+kjorD7d5rNra3e0sWNLdT4Y6npCA/rI8ca4yK/A/6mNu5k5MQIVSxn9p8DkFKfXs4M0sn Qgh+1yIFOT7qSbmmD3Pf/HDueTiVRLr0Q9ye/bswaZRNCR19iPhHcw+T94UAJb0Fk4Jw92Zi CHtQ94NQtXx+Mga5uXp0QVR+OzMnfNkJjwzYLZe2osT1l2C1ZuhOgZDQErctjCEjgpLswM9x MO9IEXY4HUCUuxUfcNOxAlsIpba0VAJLmC9ufniLuMVNl8OQir7771jwneW121mzn94xM2Dc 440FzabEGYKcB52pKjO/3r19fXr99ueXr29gkvHty4cvn+4+fXn6ePfr06en1w9wZ/zt+5/A I104G53bSjfsfnEgzA5cJiK2TmFukoiOMt6N7LE433rbWzy7dc1juPhQFnuBfIge0QNSnvde TDv/Q8C8JBOvZNpH0oRDxQMptj5Ol9z0saHpQ/TN059/fnr5YA9S7/54/vSn/+W+8Zqj2Me8 Q7ZV2p1+dHH/379xXruHK5U6sqfXyAYHPV6bpqxVBmEf3x+MsC+tvqYq+lsWj+2PCjwC9v9e NrpE6H35Xg4LJ708IGBewIksuPOmieJInAXhXOWU1lEiFRZIsQ7MNkuODg4juSYUOVDjZ7WW 4ceUANLDVNN9DK4q4VLf4N0+5yjjRBbGRF3x+wjMNk3GCTn4sPmkB0uE9I/rHE024uSLsWEm AvAtOssM3wn3RSsO2VSM3QZOTUUqVGS/Q/Xrqo4uHDIb4hO1Fepw0+vldo2mWsgQY1G6ueTf 6/+/s8madDoym1BqnCvW0uAa5oo1Hyf9QGVEN/5pIiI4EUU/May9YTOVR4kTJgD2bT8BeAXr JgAiTqynhuh6aowiIj0pbGGJcNBeExSci0xQx2yCgHzzB7kkQD6VSak7YrrxCOHYsGMmYpqc TDArzSZreXivhbG4nhqMa2FKwunKcxIOUVTDuXKSxq/Pb39jTJqAhT0rNItDtAMdzZKc6/fD z9370p7Y3QX71xMd4Z/2O8dmLKr+SnnfpjvefzvOEHBXRy7dEdV4DUpIUqmICWdBuxCZKC+J 5WTEYCEB4WoKXos4O85ADN1lIcLbzCNON3Ly5wy/eqXFqNMKv3FEZDJVYZC3Vqb8NQ9nbypC coaNcHa6bdYdenTnNNbiUcHNdXoD3MWxSr5N9fYuohYCBcL2ayAXE/DUN82+jltipJsw/Vdj NjsPRMenD/8irxv7z3yVDIsz02ewBeWHJhZh4QBqk92hLXfvYqItbYle6cqqXcI1SgxaUr9g /0JT4cAMvKipNfnFhE0LG97PwRTbmZ/v6Bo7xDM/zH/UOZqmO2AAWA03xFcI/DITm+ldLW5U BJONc9Tk5IeR5lTlI2AEVcU5YzKiDQBIXpURRXZ1sA6XEmb6AJ/86Hkr/PLf2FsUeye1gOLf pfhYlswyBzIT5v606A1sdTDbEw3Wq5UwucJU1U3jvk8R2/01PaYUgfZ4odo6HdxEkFCcy4wY ExDpJGOEVZXhSrf5NyvK/EHC2sMZ1xAickK45Zj/9rTZM3xqYX6QQ8Qr+dFZucVdJ8KWMOD5 Q1RVWUphVSX0ZMj8bNMiJjaaAjRCswi/f62OJSnHOisvFV6LOsDvmD1RHGMRtDrKMgOiKr3g wuwRW3THBBWlMZOXO5URMQ2z0Cikq2KSTA89cTAEeOA5JrWcncOtL2HmkHKKY5UrB4eg8rwU gis3pmkKXXW1lLC2yLo/rMNGBfWPDVSgkPz0HlFe9zBTPE/TLW3O1INdRx++P39/Novnz50h f7KOdqHbePfgRdEem50A7nXso2Rm70HrjNhD7f2RkFrNlAks6N5/eaDweZM+ZAK62/vgQUwq 0b4aqbaPsJtUKFxS10LZHuQyx8fyPvXhB6kgMbWl2sP7h2lGaKWjUO5KCXkQX1zZ0Nkoi8Wf nr59e/mtO1+l3SfO2McG8I7XOriJVZGkV5+wg2np4/uLj5HLoA7gPnQ71G9Rm5g+VzK6FnIA FgQ9VFA1cOVmKgpDFOwms01zaiJsxDpHXItAoGL+KqzDrS6CyJDKQjjbjY4ENQuM044KlYiM qjS7brTFjtj9LwDuyjb18QMJfYicFuzOD5ir2hu+kT1+ElLjOkQuCynXD7OwVrxyLXq/k4PH XH3MonQn2aNer7ARSAodrih7/spsn0JG/NAd4U86UP+qEGa5vcIXPkmMajgpwOOiLrMzOSIw U3tkHRtJWP/nBImfYCA8IfvcEceW4xCcU9VjHBHdnJRVWpz1RZGRhUB6so+J85U0HPkmLVJs ueXsFmg06Z1zawzpnMdKYItOSZg+JssrPm0C0h50ScP44pNFTW9nDzeOmq9HNvtc96HNFnBE 5p4zIKrGz3rrvbYOP7HRe8xra/e581NOvOJ0ICREOyUivNeeVnS/gtGKx5b6X97hNR0cK7/j QxHm1uGYCL8Pvnt7/vbmyTrVfUOcNRZOdY2dA9gdTF1WRrItFDnpO0Z5HbnX/p1LsA//en67 q58+vnwZrpyxlUUi/MMvU2F5BF7zzjTBGr+irt07WZtEdP0/werutSvVx+d/v3x49h/k5/cK L+LriiiB7aoHZtR8Fz3GZd6Cv9N9chXxo4BXEYrjMUJZjvH4MT/ogS4Au5gGbw+XQb6IirvE lSzxTBTB9OLFrjMPIv0ZgDjKYrgohjdVeAQBl6X4LASQqNnOWf5qL413UfHe7DCiYsGycyqW ikJX8Ap9JTFUbhlluZyABHdEiItZanG82cwECKx6SLAcuQJbTFGB/Y0DnPtZ1O8isGwrgn6a PSGnmubasyMy4qygVRrdi6E7Qg6usG1gwO/PEfRxP3x29UGwKO71oA5sY417sa7U3Qu4Rf/t 6cMz68V5XAWr+RUHP+ndZHAovuFZnegEwID1VCFkV0IPtzXioSEccHios/PrTHnjO6zaPi1x l5pfk0ia+VRNVlRVU32iGrRsaYzWLR6N1zPwYMM5T0MZeATLNLleBtZ6CiPKMICSo2X1+ttX sPb1k9UU8qZUG0arenKyVXXTgH3o4Vlf8uX190/Pvm5RUtK7rlQrDwOfBvpRe3iT3oMBZg8u Vb4IzN6GE/BCyAkajMijtRl6HD2oeqcyP7Dpo/PADw5OXXZpdq8KqQDBbOZHBUbowZ+hh+sk ev8eLKp7xHa1HVFbs/sbzWC6a98Ve8FEHcyWJM2MmIulIR1T4KKKXQmWjDGo8xi6JQsaZYoC 50xzREUUyGPNoj6yfO6wOAt3dil+zAT3RHs6PgaobYgfU/NtgW3NdoDJgn/X11FOx0Vg47yh MR1VwgBNfuK2Mz+90ykbJKHf6DTbN+T0DYFtGmMFMswQA8+7Bh2IOut0n74/v3358vbHZGeB W0bqyAgqJGZ13FD+IY5oBcRq15BZEoFebAPBo7WEJkajHHqK6kbC2uNShHexrkQiao6Le5HJ vKxYeHFRdSoyfq2NqXvltbhQay5ThzW2CdVVRJwHs4UPV0Zi8NG9UPlJk8396l3EHpadUmq8 bGgjodrPRywFwK1ufc48oPVa0a/5i6KPT6O92e3U+BqtRzzbXdd7bCTBBLvHVQ6WemrqQhta MSPHeT3SknOdS2rf3+EmtxBoIjJIV49eIIUl7f0BzqBRE7iz7rk1dJ4TT0R9WBAp0szssuvW bJ0LWCiEQHFagyOd2NmnL4uTFAgcbpidanbKIrNlUeTVNwlkqiG62qvFWsyQu4KtpM99zzM9 426NogxSSHZSGUD48CyLD/SFtAqB4aaAfJSpHavoHjGpPFZgVKSa5GJydMjI5l5JJOuN3WXD 3EesPxj8ingg6hg8HOmmJh7kBLY9Nj8IcJ4KMfhTuplQb4nzfz6/vH57+/r8qf3j7X+8gHmK 9ZUHmC5jA+z1CxyP7p3x0NMb8m1v9pWTRencCQtUZ0VrqnHaPMunSd14npXGNvQsWg9UGe8m ObXTnpLAQFbTVF5lNzgzi06zx0vuaX6QFrROKG6HiPV0TdgAN7LeJNk06dq1e0MudQ1og+7V xtUIrO/T0aPQRcEjlv+Sn12EGUyYv4TDyrC/V3gld79ZP+1AVVTYuEGHmgmLq7F1zKHip8nb iv+2zs/8YEyhpAO5L69I7ekvKQR8zE50DEh3qGl1pNpEPQI2iYygzKPtWfCiIp92F3uiFG46 kTooclMLYIFFgw4Af8Y+SCULQI/8W31MssGea/H89PVu//L86eNd/OXz5++v/ZOGf5ig/+yE W/yU1kRQFavFgsbJRQ7Amnq/2W5mEUVzMJF/fGRZUjkFYCGa49MeAPd4d9ABrQpYBZrcLZcC NBESMsRyCI5F6zRKJmA/opHyIyNCXI/QbjWiXuNZ2E/PCoK8+XUTzM2/kYz6sZhNjtevHDYV Vuhy10ronA4UYlnsL3WxEkEpze0K3ypnF34FkZhsMVd/9iQ9PdPemEePbghywjmyHI753dEK Pxa26OH59fnry4cOviv5OdHJGgDyHv8SuLV2Kkf3QiY7TV7h5bxH2pw6IDZTeJFEWYkXaDPj 2LjNxt9dB+1OCnsB3l+sUWScmyGoAq9sNalL8GgaDSFQLod4rAFSr4Qi3e4750tobYmsv56z YIgWjHtfJrgp1B4Tmm0B8XPdHx7WeIcCR12jH/lfkPIkckDeHznedlNuLY+zqxuzrJEXJ+53 G8XbjQeSLt5hZEgNWO6DeU5sPncxYlPmYC1XHyPw27g77fekldIiTrl9Bgjv/GB2Hf+3p++f nGXvl9+/f/n+7e6zM+r/9PX56e7by//7/H/RgTEkBp7icmeWYOYRGrwB9jYLRu8XmAbPYqCY dJjwrUGiUsXfCBRdRb9sETJJHI7+BbzlDe7kwa9lTp2smn8K5rjSPqHjVr/yJiE/7I5U//IZ Q6Z5rC9wcDhGPx0op7JtHdZaN7Y/zScjaE+FtY0fNWkiR+aCwepEnedAmN4RnZCXci+hUb2R 4F2crxfX60DZCj59MxNl7mz13EWvH+8aeCvrDGffZU//pdeJEEt2b4Yhj5o68t03ZDnlv9oa P+qgfL1P6Oda77GfLp1T2tYCsT4NCPXrmmPPceBWOtLI+F4d5T/XZf7z/tPTtz/uPvzx8qdw jwrNgH1iAvAuTdKYTTSAH8CzgQ+b7612Qmm9k2qfLMou28Oo6ZmdWTfMELXFEodXHzCbCMiC HdIyT5ua9TOYqnZRcW/kxMRstOY32eAmu7zJhrfTXd+kF4Ffc2ouYFK4pYCx3BCz0UMgOO0k hzJDi+ZGvkl83AgDkY+eGsX6bo1vyy1QMiDadf7NnQeXpz//RD57wN6967NPH8wcybtsCRPl tfdQzPocGMHIvXHiQO/dMeZ6J6Yh9TWKg2Rp8YtIQEvahvwlkGjs5c8O5HgVzOKEZdLIj5Zg 07herWYM07u4PeDjZVujebJZX72KVvHRB1O9Czwwvg9nSz+sjncBOEYmh0Uuu2/PnyiWLZez A8sXuWF2AL3QHrE2Ksri0QigrE1hl+48h9OiWU9A59rMMYyBu3evD2aD9aW+2+nnT7/9BDLH kzXuZgJN65xArHm8WrFB6bAWzsYUL7ij+OGJYUCPSKjRAW4vtWp637xTYbwhnQerKuQ9xezB Vmxw6syrmuroQeY/jsEVbVM24PAXjnKwF/eOTWvw3WvZeRAy0gx5cPlIR5BdYwMnvDhR8OXb v34qX3+KYfhP6cnYmijjA36q50xCmW1Z/st86aPNL0vSe82upk3jmPXpDoULUp8Rwu5iPir6 GDzGrPHccOzwQZIaUUpNEv4YwmTSTHM6rjtTOwfX82d/7ffzWTibh94n3VkYWX4tUdopDoyS wTZvYgW2IVWihbww/zVjHpW+L4v4qPhESEkndgiGh2+FTayi9+zHQcH3++0od7vGjkcplOmD SwGPo70UHP5HzpsGxlcWGqjzfj2f0cO6gTPTwD6LueRoqaPSajVjmTOCot+RO7B3BS6UtQ/h uWrCpDcf9URwhao+uNnEjvGsMu1z9/+4f4M7M/n32z1x3rXBaNwPYG9dkkc1+ODky0HehPO/ /vLxLrA9oFla+8xm54P37+AkVmftwylKyGbZfni1O2guP592PtBesrY5mh55LLOEz5s2wC7d dZqdwYxzoOTjSTRAgCleKTW2b0mwF2Qsiph91qlQDVVRMCC4GU8a7FLVgGbRaahFWQOmUZ09 ylTyWES5imnE3bAUMDrFGZwcL5R7ar7J/M7JZTRsGVkE1pkai4Rskst9fyhOMPB6m0XY1Stz s1zFsO+i95VTQIuvvntMm0GEj9nHsExlHRH6BE+pZG4QqEaHeh150JLfiJ6NrmG42a79OM3a vfTRomTFwV5rrMua7ppvcHbk1IZ9fTkTmHqbM9tvqtLaAW1xMn1xh18h9gzW2zQ5dG6KOz3l r0+fPj1/ujPY3R8vv//x06fnf5ufvq+4yLmh9mIyxRSwvQ81PnQQszFY6PIMCHffRQ1xDOnA XYXHcQdSZakONNu12gP3qgkkcOGBKdkVITAOBZj4wOtirfEztwGsLh54T3zA9GCDPT50YFng vdAIrv3OAEqvWsNEr6pFYHdGw1h4bxYeyVOZ+TSuHsBxn26xvpoFdKxV20TEtkKXVhLF2/XM x0+5fTo3pNvjcXnpBL+JXECgrMRvPzEKh4/uinW8ER2iBo2GUv42qXeoD8Ov1qkOOE+fxOnG MNrwJz2o7wWw1FLIa+iDZBOBwK5M87XEefsLTCb43jhOalDVv2/i5JxMwN2RtB4rkNIXdpET gRdGswrQp+7g2tMdEwquPREJdw+Ec9fH8ix2FKqxllqh1ni/X5zzlKk0DW14zidQ26n72Sl/ +fZBOINOC20kIDBguMjOswArZCWrYHVtkwo7eUcgvWHABJGcklOeP9J1We3M3lDjOe0YFcTR ntvo58rIyXie0AdwlxqjpapR+5zVi4U21yt2Mhbr7SLQy9kct3luktD4vW9axFmpTzUc79dM KxySvqJRF+vVarFq8/0BrwkYHVR3oOwbFsI6aHZH+q3GykXHqlUZWvUf4GFKXKoC1MBodg71 yQM8v+1VorfhLIiIxzOdBdvZbMERPPv2HaMxDHHn2hO743wTTuAbAbc52WKtx2MerxcrtGAl er4OA9ySMPduVnOEdc/RdnARQWa0vJqFK/6b9tEOI92zsmZ0sUdf0GntXsftdbRd4kKC3Gv6 hdnvV4vWYaikZOarInLlaX8OUuOMwXW5V1n6y4rC4Lja2lay8hWPy1649Nx4hRoHTBvP/jbD 0OQuqttgbhvTOR1NTcK5r9jvcDNCAjTSRnDlgVl6iLCp4g7Oo+s63PjBt4v4uhbQ63WJ4Hi3 MdtgOrYdxjVfRtBMK/qUDzcTtpTN819P3+4U6MV9//z8+vat94Y+mlP99PL6fPfRTJAvf8Kf Y000cALu92WYLbuu5V6xgXWtp7t9dYjufnv5+vk/Jv67j1/+82rNszoJED2bA+X0CI6fK+JQ y055WKdjgFo8w49oc029gQHvNH8ZXoK8GWnU7Mns/aM7U0PvPLo5Nm6R52Idq70YGggc8FxW YjiD42BjFo7gyHk6D8dSN/5HMXhRnv6oU3gecy7lWoj1i5HO4Zrhy9c7/fb09nyXP70+/f4M vePuH3Gp838KJ5CQXqlzXAFC4ccGOaTF5SHlv4eDnzat67IGk9ggeTyOU0IaH8mpXHzNwOLA xK21IZ12BXi2ngySpkdBFrWbW0VsyaFN1afnp2/PJvjzXfLlgx059jb155ePz/Df/3n7681e 24A92p9fXn/7cvfl1W597LYLPygyUvzViGMtVZcG2D1e1BQ00piwVbSUJu9xATkk/HcrhLkR J/ZPO4jS9i2QHFwQ1Sw86K7adhUiNaHk/YUh6ObY1kyk70HWIXY9YbsJqgDj0xCob7g3M63a z+M///r9999e/uIt4B3lDVsp7yRy2G3kyXopbHwcbsSlI3cMN5aInBUg3OqN7IdBCS7eURm+ +YsRjjOmlQQHPuY/M920ZU2Uj4Zdy36/K+mriI6ZrA64115jz+aDQP6evgllhSKZ67kojdcB eRbSE5mar64LgciTzVL8olHqKtSpbQwhfFOrfZYKBEiggdSqIJkK+LFqFmthC/7OaiIKo0TH 80CqqEopITuqCeebQMSDuVBBFhfiKXS4Wc5XQrJJHMxMI8ArvxtskV6Eopwv98JQ1krlRCIb CVOJUq51Fm9nqVSNTZ0b0dvHzyoKg/gqdYUmDtfxbCb0UdcXxyVRq/5+0xtX9sAjxz5460jB RNmQA3G3g8TfECVoixTcA52L+2F4lkAJNoXZXHbZu3v775/Pd/8woti//vfu7enP5/+9i5Of jHT4T39CwAcS8bF2WONjpSYP8vqvhdlC1+DbNsGXBkPEBwHDF362ZMMGkuExXEhGRHvL4ll5 OJAHFBbV9sE+aPmTKmp6cfUba0S4mxCard3HIqzs/yVGR3oSz9ROR/IHvDsACuIcfdboqLoS U8jKi3sDgHak9kCOGPy0kN326Ee953HE18Nu4QIJzFJkdsU1mCSupgZLPMjTgAXtO87i0pqB erUjiEV0rDSvHxN6S8Z1j/oVHNEnfQ6LYiGdSMUbEmkHwPoAZv/rTusUmV7qQ9SptorMWfTY 5vqXFdKF6YO4zVVaUNfZlM2NxPKL9yXcQ7v3CvCyruBzAQTb8mxvf5jt7Y+zvb2Z7e2NbG// Vra3S5ZtAPjW1HUB5QYFnx/PE5gYiWNAKsxSnpv8fMq9WbqCA7qS5xuu1M3g4XAd53hCdJOZ STDA96dmk2+XCLNSEjMzA4GvKUYwUtmuvAoMPzUYCKFejAwiogHUin1rdCAaKPirW3zgx3ra 62PMh5cDqZBHCE+I7kZ/o0o+CRp51Uz8WPZ00zUo+VQl6Wzdpr4603kHDp/dN965tNM+Nwth WRMJxczfWKHA/sSTm/+r3RdeHrUMdUPJm5KT/LqYb+e8MlN/zQAIbKoe0oT7DB15EDJSqw4I /l95YjYINLWJRqNrBldRpwbOdZPSdMeCfXhIGr6Qm3meN7SqvIW0UOSVWA9G5DGRE3kqXmCV 876i3quqTasKK46OhIZnC3HDB6luUr6Q6Md8tYhDMxkFkwxsWLp7eLDyYjfm86mw3TG2VK1j qKHi18upELlfWRUvj0H4y4EBp88yLPxgBxJcX/Maf8iiFnf4Js4BC/yFF0L26zqyXA1SSbWX btNd144X29VffB6Fsm43SwZfks18y5OVJvkql5b2Kg+JsO8mkT0tnwX5u0Un/RzTTKuSjXAi dnkamr125jGar4Lr+Kagw/fdOOK4aw4Pdn0AlFo/0yrgwy45tnUS8VIZ9GgGwMWH01wIG2Un PthKnbjRSp+EDtwp43UOaGJXfnvoy0eHpdlNS0MUMmAyKpzYnxgZTuhGEIKcGZG4WnokBAdf 7fuqTBKGVfngzSn+8vr29cunT6BP/Z+Xtz9Mgq8/6f3+7vXp7eXfz6MpJrR/sCmRV5sDJKxp Flb5lSFxeo4YdIXzFYY9lERnwCZkWiWer4MrTx/kXiljWmX4UsJC42kSFPYDr4UP37+9ffl8 Z6Y8qQbM/t/MhGRLC5E+aNpTbEJXlvIux5ttg8gZsMHQ8T+0GjkKsbGDWiJolTM4PzOg4ABc niidMrSOIy//WGm/QzRHzheGnDLeBmfFa+usGrOSjEfHf7cqKtvWGdEEASRPOFJHGqy77T28 weKVw9hBWQdW4XpzZSg/O3MgOx8bwIUIrjn4WFGVN4uaNbRmED9XG0AvmwBeg0JCFyJIz2gs wY/TRpCn5p3rVU6wqs/kBtqiRdrEAqqKd9Ei4Cg/oLNomSV0MDjUyM1+GdxZnVc9MITJ2Z5F wZIl2ek4NIkZwk8rO/DIESNVp/WlrO95lGZYrUMvAsWDNaU+qh0vkndKW3kjzCKdUa9hhKny py+vn/7LRxkbWt1BPdm1uNYU6ty1Dy9IWTX8Y09YsKC3WLjP91PMcJxOnjz/9vTp069PH/51 9/Pdp+ffnz4ICsKVvzoC4h3o23DeHlM4AsZYnth3t0naED82Boa3i3gM54k97pl5yNxH/EDL 1Zpgzu9whDcieae/RXLv+/jeMV0m95tLJx3aHU96RwzDxVduVf4b6fIrQS1owknHuwZmEdsI 91gm7cM4pWVnD9y3JAPfKdD3VhpPRQY221szuBpQnKHWeQ1n1eMIoouo0seSgs1R2aeNZ2Xk 4oKny+qzR1qdPwhonKUR8eSc2EcxtKoUFe8MBD6w4A27rtgraXaGaID3aU2rT+grGG2xWWFC aN5UROvZIM6CAIH2WXSf0lDwbKCRoHaPDZFC7TNr1V3B7YMDND/23g+pGpfZsCmm2A4YKMrg /gRYRY9HAILKRSsQqEzubE+zabEosfvXThGUhtK7ysP2J010Kt1vql3UYTiBPhg+d+ow4Zyq Y8g1cIcRC6Q9NlwouNvhNE3v5ovt8u4f+5evzxfz3z/9m6C9qlNqIK9H2pJI4ANsqiMQYKKx P6KlxlMYDHRYCzuLCtSIkNnRneA1YLprqB1rz0prrhQJwJUjzWJJBzaoIY4/04eTkTvfc8cF pCdw7xxNivW7esQenoBjuiihltxpgLo8FUld7hS3zz2GMDvFcjIBMKR6TqELc88MYxiwjbGL MriUJ7VK7fYD0FC/pTQAMxfPTcSb7zUe5yADmo1uiY/YR8x/FmI9bGOZ0ZouNwhckzW1+YO0 SrPzjCXVijoWcr/b5uo9ROyY2meaEyqi+dGebSeqS62J6c8zUQnuNHtJ6kXmeZs6Y3cd+lQc 0pzaIYpq6uLJ/W6NJDr3wdnKB4n98Q4jfpl6rMy3s7/+msLxRNrHrMy8K4U3UjLeFjGCCpmc xEo24LbMG/sWpEMUIHL/1/lJixSF0sIH/MMZB5uGBts1NR6nPWdh6ETz9eUGG94il7fIYJKs byZa30q0vpVo7ScK0zIYEsRTGeDvPfd1722b+PVYqBhezougfVhnOryaZlXSbDamT9MQFg2w MjBGpWwMXB2DOk02wcoZivJdpHWUlPUULiV5LGv1Ho91BIpZjPhvKZTZG6VmlKQyagvgXfuR EA1cV4IZjPFwnvAuzRnJNEvtmE5UlJnCS2QCXu2R1qy3M7NG7IgJZ4uAfgJzCTHij9gtioWP WJSzCD/WPlvtAjKBOsiKgZ8pRj0Jnjs9UxLEzfqpkRis74Rux9g/Tn/7+vLr97fnj3f6Py9v H/64i75++OPl7fnD2/evgtmA3j9gfg7DdE1uGyg1w0+KvK8MkiZtVZ2mwswX80kK+21n1Gby K6KJ31M7Ix3rPSKsow1S8/RZpl39rA5Nu4ixNNNdBSziFb4eGdFwi1qlrMm1VvNYHUtvjXWp RElUNSl5iGIBa91jT6Ra/NUhxUzamOq8yiGzJiVDPk7JHaj73Za5MnO8OpiJAI8gp+nd6Ilc 4JMH8yOcz+f0CVIFyyg5SXMVVuQxkdHMx+31gJ9G9wj1ggSJs6N5nB/8EMX8ABdYMROsexhV HgSqzT6NvuvH8UKnKclqn5GZPpvTXyn9iXOVTTTTyeyw8XRrf7fFLgxnbJzFUZJyCXknRuqE etyLd9jao/lh3xzDgZFOM+r42HFQd7d4BMQ5tAsOUlyxIwzS62xPW9CwV/az1Ub6PXOQCfcO 5CL+7kBaWD/qJs3psxLzIfvF06MVGROf5bsi4o2SXdMkMp2TpIziiKOzwk7JmqPZUKU1yBbk pS7GzxP4DpusydTDSU1NYt3lKWqH7ja1mUtYOz8I8ELAlhJGByvCT3R/jhh6qzsS571cHqVj VBo6l8XXNo3xu+Ck4K7vumgStgE0gjVxdpykwXyGb1Y6wCwq2SiJsI/szza/KA8imgMOK4g+ /4i1x0tr5mJ1iOiL1yRdXpHM2TvJCLF+e5Jv5zM05kykq2CNz8nd7Hu1Dl7kiqGKsEkW4As9 0wPp5rxHWBFRhGl+olrcaUBnCfubuzzuUDbYcbTv6WztfrdFBdpShVkewXphm061f3olt4sB kc6uWO8IfnUHvlavg4rqKMr96Z1q9Mmr7H1+fjcP5VkfNOsyM8miMh7VdXVMgpbOI6ZssyVd Wo+FZrLLEVuzA9pIQHuKTFbIEdXlsZrzNacLxbxNpCRcSp8X2J8p/20aGmsRq8OO/OD9AKAE W+k1AJ4Z1JVEQEUI+5P3IQfyZDpJI/IhHj1JfYkLCL+81ADjq5MFacyA0JkQIJzWPp/P7tnP G+NDhcEKy+7vcllk8q5F83PXqUarSnCyBMoCkmGOazRfh8zD+j0eP/DL0xUCDGqF3t/fPwb0 F/8O59tkOiqIWmZ2NSOk8ABa0z3Ias7CVFC0EDeFll1XfjAH8bQH1MuAvvhxdBjvmI6hxrQs 5G4msIDV4ZUR02ru/LSvNBUTDwz3OgyXAf2Nz+rcbxMz+ea9+Yi5YWNplGxuLuIgfIe3iz3i blK41TjDXoOloeVJKH+scXWYX/MZ7nE9QsfzPo2yQp6Fi8hscLACsg/ocBEGcnasd8iiJONr b31pEhHGQTd6dLjAr2h6BbYrm7AD5kWvC1fFUxN7cTayIa6Hso7ThAxYFLq8Z0/LyYRqviqZ 3ASeLMHXcHEgDjGOkVm+jiiuxxTsVu/57UGX7APTJ37IogU5enjI6P7B/eYSe4eS8dZhbLx3 KBttD9mBzpKgp0zTxa8FzQ95UoW7GWr05iGONrOJ/lynsM3GLoiwXbJwvtjG7HdTlh7QEr8Q PWjPi5uLolfuPRvOgy1FrSe5unubMFJ1OF9vJzJfpFQF/UhXgzo6y5tToslSr2fLidoBj73Y DQb7jYLqKIe7CpQXu4ZP9XWdpg8yoUhf0fE2mPHTqiEoLrrSW6I5rfQcj2lN9F3BNQE27mWB OIE3bQVFWS8fAnqvr3DGcmwYpNdjzePt3JQGjehKxVTb23y3nc+JPaIec3bFjmV5L5l+t6GW E5Okbuy6gNJpcntdSgQHh/n6NskFcE9BxsGqeghneJPj4KyKjdTtwXlK9TEu8uGPw3UZg0kE D8YaRR10Kq7KL8nEGqnx3d0xqqrHPMXm1dyN2/g7BpfM+GS7UCc54seirOjzmA4x+bS13T7g cyz0aZMeT7hc/DcOioOpNq6M3BERL5hTUinRCwPPjPWRLBsDxPaTgINLspjobaCIL+o9WQDd 7/ayIp17QBcWHTp4h8M7bGdNXrRDgEKpwg/nh4oKObN8+4125QF+pLFPEtzR0j3pzvCTv0m4 3+NtnKqIu4QySmrwCVJLWJuBdoi9bGD9Q+/ovq46PjqvPs4qk1J3Bpm0QhyZtbBoQEIh18dN OFtcGZYnFOi2JhRMorOyrq4x+ADSGoUy8ISHgVjFUcKy0an9UhBOvE25VawpDvMbReBywcpA fY30eHfs6oeOHw/FSXu4fWjIwXDDQRVXGf+6Ex6YlyB7dhSxqjMywHyGFYvBV2razGfzOSuY 2yewiq+MCLwMBXC98b8unb1aDO/VNeUtnICVMdXsIuKEDVDq5spC/ADVgmVMrzcs2B2V8oRM 3eWnq4xKCfYUDLI65TmE9jwVihzTDISirhq7CjX7qe12RdSCyQFiVdEf7U5DP2KgGflmhUwp yD3GApZXFQtlVenoCZ+BS3J1DgD5rKHpl1nAkOGtN4KsjzdylapJUXV2jClnTd2D5jkWsS2h c+LqyWJWXwj+QmqoYPjK7rG4cgYQcYSNygJyH12I+AFYlR4ifWKf1k0WzrEJsREMKGjWvQ0R OgA0/5G1qc8mGDOdb65TxLadb8LIZ+MktpeYItOmWG7ARBELxPFk6kBN80DkOyUwSb5dY12f Htf1djObiXgo4mZW3ax4lfXMVmQO2TqYCTVTwGQWConAtLnz4TzWm3AhhK/N8q5betOOq0Sf dtpueum7bD8I5cC8eb5aL1iniYpgE7Bc7JgBHxuuzs3QPbEKSSsj0AZhGLLOHQdk79Hn7X10 qnn/tnm+hsFiPmu9EQHkfZTlSqjwB7PqXi4Ry+dRl35QVTSr+ZV1GKio6lh6o0NVRy8fWqV1 HbVe2HO2lvpVfNySVxEXIpLCr/ECPqe77yQPiR9V0DzmdvBJBDirgmtMgOzVgX0brSkB7/Q7 DUPnEwyA498IB+53rccksgM0QVf37KeQn5XTWE9rjlIlOBcQHHyDJb8izWimtvft8cIRXlMO Tfadyv7ei2LXxGV69b3wWpYH5vkzUHTceanJKenG+Sq2/2qQ8KRsdn6N8SrUkab6Yy9HzXW7 5dil9KqFuwTtKstVq1UcJW5t+tKWae5VOV7HBmiqzMdLjftHHNXZdo7NW/YI8046wL535Z65 VLGAsgRNLtb3Gf/NHHN3IJmkO8zvu4B6zy06HPw8sxfyUb1aYX2iizKrx3zmAa3SNRzB+4SU GLmLcb+9vgkY75yA+UUaUNZ+gE+kPtVVL3GxIH7cO8CPn05heUoVEInpT9AR4ZA7nubfbdbx analLYkTkjRSFuQHiM8RRTTxKg9BzAyobcDW+pSw/GjGmoQQt/JjEPOtZOTa8NOaMYsfaMYs uN/5rlT0iNbG4wHHx/bgQ4UPZZWPHVk26JAGhI1OgPhLquWCvzkboFt1Moa4VTNdKC9jHe5n ryOmMkkfiqJssIodQ9seA96ZOmOOuE+gUMBOdZ0xDS9YH6iOc+pjDBBN9oqA7EUEnnY1sI9M pslcH3anvUCzrtfDZESOccUqpbA/3wCa7BCAxzNTx4lUzX4RzXn8JVMlUNUlIGd1HQCn4Yo8 Ze8J1iUADngEwVQEQMAD25I9JHGMe5Een4hbr54kB6g9yDKTqZ3CngTcby/LFz7SDLLcrlcE WGyXANjTtpf/fIKfdz/DXxDyLnn+9fvvv4MnOs/Lbh/9VLL+kmCYC3EP0wFsvBo0Oefkd85+ 26928J6oO5kgXaoPcIoqbASvh6FXmv11NZiqvV1I+41fxhEWithb1rqCjxJQFYqM+BFT865D SHi55Y8L3plrYp4ANo+4a7nfo8vgKaItzsQKd0dXWG20x7C80WF4tB3TOk+93/ZJau6h7jHo /tKCAnChsG+N7OpF1eSJhxWg9Jx5MCwZPmalhwnYV2EoTfcp45JOYtVq6W02APMC0ftyA1D7 6Q4YrAQ5Y96Up93fVuBqKfcET5/GDH0jpeEb0h6hOR3QWApKZ/URxiUZUH8ycrip7KMAw2ti 6H43qMkohwCkLDkMHKz01wGsGD1KV6EeZTFm4f1EjaeJisgOPjdi6Gx+koPXET3/rJvgipcN 83s5m5E+Y6CVB63nPEzof+Yg89digWVywqymmNX0N8Tgqsseqa662SwYAF/L0ET2OkbIXs9s FjIjZbxjJmI7FfdFeSk41ZJrlRHj7r1tE94meMv0OK+Sq5BqH9afvBHpPNuIFJ0+EOGtTh3H RhvpvlxZxJ5DhzMObDzAy0Zmzc9rFnAbxKkHaR9KGLQJFpEP7fiHYZj6cXEoDOY8LsjXiUBU UukA3s6dnEEbWZQY+kS8NaUriYS7oyuFj4kh9PV6PfmI6eRwlEY267hh8asx86Pd4gc9tRZk GQDpjArI5N6b2Ba+UKMx7rcLTqMkDF5ucNQNwecBViJ0v/m3DiMpAUhOLjKqwHHJqNak+80j dhiN2F55jY4LqNkNXI73jwleqWFqep/QR83wez7HntN7hPeoTpypo8fYF3KMXL/C0ZrdWDgz 0ZgtsJbuW9yVRHeKbYXiy0seXe/AJMKn52/f7nZfvzx9/PXp9aPvI+miwDCDgnUtx7UyoqzT YMYJys648fD4nJz5mzzZNRjJlEkW01/0vXePMIV2QNmG0mL7mgHkntQiV+zUxcwBpsvqR3xe HxVXcny1mM2IFt0+quklZqLjeDm+xbQ/IWYhlJVxyZNskyVFf4FtjLH+sqjasUs8UwK4Rx0B vcMaP/BruL7Fu5Q0TaHjGCnVu/ZE3D66T7OdSEVNuK73Ab4Hk1hhKzWGyk2Q5bulHEUcB8Qe GYmddDzMJPtNgHWTrSqmtaMw4cysI31nZjno0CJRpXuo0ZK9kbM6S26XlE4K+qtVy4whpCv2 SHt+x8CcBJMu7IdvvTt/y0QnMqVZDIw777FrOYu6oeDMp5jfd789P9mXvt++/+q5crQfJLbb uMdGw2fL7OX1+193fzx9/eicAQ2KPZ2ryG/fwCTjB8N78ZmKPCptM+a27z99+OPp9fX50+hU sssU+tR+0aYnYisobaOSvIKBMEUJJi1tJWUp1oMY6CyTPrpPH6so4cS8qddeYDXnEMyITlwK XaGOL/rpr94WzfNHXhNd5Ot2wWMym+RU0727xfWMWJl24L5WzXshcHTO22juWTLrKjHTHpao 9JiZlvYInSbZLjrhrthVQtq8w8MBo+3Jr7IYH2Q5cHdvcrn04tBxYx0U46Z2zCF6jw8FHXjc M01KB1/Wa6zJOobVXi2mcDxjNhhSNP2ijRrV1apt0btvz1+tYps3dFjt0ZOXoRkEuGs6n7Ad w+Gkh/3aDb7JPDSrZeh1WFMTZG4d0KUOvaRtN4PaIV5v7GiOyTtF+MXtGw/B7P/ITD8wuUqS LKWbJ/qdmTVuUL2h2V8GSw6VkiYnnM2InEn2M5NBd/N2R3fvEnte3uTpwGMBoI1xAzO6uZk6 dg9pC5LSF4L9pB15CQDW7molxG6papqC/9OmRiQoHKhE5uC2tRnlpKEsB3WIiAZMB/QdarhQ 6XGztooXLj1vretkmXDb0ocAJ2N+ejmx1YLQuY8yCf74CCLAZ/KTDYicSgm5K7+uOJTNSzUY Ov5sF+bp7us+MWOVPvzqUSsGCjg9MXNiwzm3Y5vjukrThMgODofTvIIqVFqcTbYO5CtEF0VF NCIdpiMu6tA9QoHHqvnhvZMy0CEtvGB1XQ1OZtTrn9/fJt0FqaI6YeEOfvJ7DYvt922e5hkx gesYsPFF7Hg5WFdm75DeE4f3jsmjplbXjrF5PJn15BNs0gZLzt9YFltrPk5IpsfbSkdYCYyx Oq5TIw1ff5nPguXtMI+/bNYhDfKufBSSTs8iiBZOV/eJq3vP9aD7wMhfzJdZjxhpv6I2iymD ldsYs5WY5n4npfLQzGcbKZGHJpivJSLOKr2Z44OYgcru5USoHjGBbQdKpY+aOFovsd8EzITL uVR+17mknOXhAmu8EGIhEUa43SxWUlXmeBUb0aqeYw9zA1GklwZPHgNRVmkBJzNSbN6zrbHS yizZK3hRBmY9xW+b8hJdsBVQRMHf4ItKIk+F3HwmMfuVGGGO9anHspnxvRSbbmH6p9RCzSVb zhZSh7tOdF2w8NSmUq7McmQ6qJTKDmv0ohkATc7w08wngQC1UYbfooz47jGRYHjBaf7F+9yR 1I9FVFGFu5H0DI6jSNU+3ZXlvcSBFHrP3M2MbJpFRujHtltRbmA/kOGXZCjW8hQf75UY576M 4fBdjvSci5ULkhN+2uXQqIKtKyTFGdNoK+KAw8HxY4Q9sDgQykgdRFP8Jqfz3cmr87O+Xq+R lxB7G+EK1jeplMpI0vOdfo0B5UvUqD3SRkVk+pFELBIJxTLpgMblDltSGvDDPpDSPNT4XQKB 21xkTspM4zm2yTxwVhEgiiVKqyS9KPouZSCbHOv6jNHZ19qTBK1dTgZY0XwgzR6sVqWUB/AI mRE16THvYOW5rKXELLUjRlFGDpST5fJeVGJ+CMz7Y1ocT1L7Jbut1BpRnsallOnmZLaMhzra X6Wuo1czrOQ9ECABncR2v5LTIwK3+/0UQ0VM1AzZvekpRh6Z8/HRwKsCbOHZ/nZPAOI0xpnA lKrIvSCiDg0+UkfEMSou5OkV4u535ofHuOnM5D4u86WXcZjQnGyJPhxB0KuqQGWVqJIgPgyr PFzPrjIbJXoTYgfrlNyEm80NbnuLo3OYwJNLJsLXRs6e3/geNGTbHOt2E/oED/evsaplfncK zEZ1IZPwxq4s0lbFRbjAMiIJ9BjGTX6YY5VnyjeNrrjtcj/AZAk7frKGHM+tq0ghfpDEcjqN JNrOFstpDr/TIhysU/gYEpPHKK/0UU3lOk2bidykhyiLJjqx4zyxAAfZN+tgMdHNPSNTmDyU ZaIm0lWZMj1piqSvFUmcp+L9VAWQtYIyE1Vq5432Qt2B+QEmO4LZqMzn4dTHZrOyIk+VCZnr +Xyii5ghuoejLFVNBWCyGqm8/Lo+ZW2jJ/KsivSqJurDKsHC4ehEsveb+UTPNfspI2oVE9NK mjSmG62us4luZP+u1eE48b39+6ImmrcBR3GLxeo6XehTvJsvp5ri1oR3SRr78HmyC1zMJnY+ 0Y8v+XZzvcHhg0DOTVW05SYmYPuGrcyrUqtmYpDk5Gaa9tb5YhPeiPnWNGLfqkbFOzXRgMAv 8mlONTfI1EpO0/yNOQHoJI+hY0wtODb5+saAsgESrufkZQKsgRhR5AcRHUriYIvT7yJNjO96 VTE1k1kymFgArN7II5iFUrfibozIFC9XRIjngW5MHjaOSD/eqAH7t2qCqQ7c6GU4NUpNE9pl aiJ1Qwez2fXGsu5CTMyojpwYGo6ckOYq4iYAM7qZkz0P5cjhDaFOxXKiIfWpXk5Uj76G69VU 4Sq9Xs02E2P3PdvUEUmnzNSuVu15v5pIty6PuRML8Rlfd7yj8HzssF6mbsuC+MFB7BRpZN/5 0jtpdiidoAlDpLSOsSbmI7B1Q0+BHL3LI/K+vjtgXlxnpqQNOVHsTuJjXd3XHpqH2+W8rS61 UBg449yst4suDwIdboOVXBGW3G6mPnUTOaQr5zbPo3Dply+vTouZD0dmXicvYyx6qILIx8Da RJpWqVcVlmpU1nhnzl0iTQZXhU3htUVkVvcaTjfSgFNwMGoy19Eee23ebUWwy0P/4oq2WXlJ 6zzyo3tMmaK2g+N8PvNSqdPDKQPXqBMtVJsVbbp57GgN5uF0iOhaBWaQVKmXne4k90bkXYCz IodSAwl2z2TyJN5YVVGWw03uVHpVbGaO9cL0xvwkcCGxXt/Bl/xWL6rLJqofwShjmfhB3O5K HjaWmxhSwK0XMudEvFYqnH/HFiXXbCHNUhaWpylHCfOUyk3Vxl7FxXm0IBsLAktpgELa/S6R tdW6tIyIAwdEOjN/7SKvZnUZd7OfmT7ryK/B+hzAvD4xp1p6vbpNb3y6zhXfq1uIFNIipP4s EiTW2TA+XbT4Hp+0dUjAkcXgS/HYX4yrn8s7uMVFV4lMIrEW6XLYyJiSnFPTeDyE/dmqcIaV CR1o/k9NDjg4bsIg3mDx1eFVVJPLmQ6NFblAcahZxQWUKME6qPOwIAQ2UE6cE3Yf1LEUOqqk BMvMVEhUYXWETtPRv4zt6gSEIZrAidUonLjSeuuRttCrVSjg2VIA0/w0n93PBWafuz2+U/X5 4+nr04e356++YjOxL3TG6u2d766mjgqdWasPGofsA0iYGZBmMkQVdhFDj3C7U8xX26lQ161Z Txpsic/MBVWjO2+G5itlfWsTn3D9w2Ly3QiaBGHHH6zWuM3MHgj56UajCgxlNrSh4sc4ixKc ZPz4Hk4hsK2s8hq5g4mM3vpcI2eJiYyuxyKmy3SPEFf3HdYesI3a8n2ZE50ibG2Q64e0B/xo 0Vlir8sTUaF1qCbZGa6QSV8xbZFjyxrm970DnCvs568vT598vZyuutOozh5jYqXTEWGwmomg SaCqwTVBmliHtKQ74nBE/w4TXhcksRP33zg64n8cRzeRflG3J9PE+pelxNam+6k8vRUkvcJa lyZy9HlUmJ5c1s1E8voIT2BV/TBVi+DVdpqv9UQ97OI8CBcrpzcz2jVFIfZa0iwjiV8mEm2C EJv3J7HCOLqXOc9AKSbh3owcHpBaVFPVa8aox1APxrZ/F19ef4IPQLsVOrr1huVpTHXfMxsf GJ3slY6tEr8AjjGDMWo87v6Q7Noi97usr4bDiMmMmJ3bgtq3xbgfocpFbDJ+GAkZOfxjxOSX ZkrSwuh08DgOA5m/Hev0DNXx0oRBZT4E+on1Cx91g9l98g5P1H2ycVxc/ZnNwdOFiedrpeE0 WMzbQN/4kEitHksk2I41E9wurZNIyI+ZRdYLIbkOnx4NTsZ710SHU8TlTZ//u/GM8sdjFWl/ Ru2C30rSRmPGgpuS+YSOA+2iU1LDNn0+XwWz2Y2QU7lX++v6uvaHIliZF/PYE9OD+6rbSPx0 YCa/vcI7KrOl13LalJ5ukVqY4er4VngY2q6654ysq8D7wGDjXLDgk4FZtMwyIhZgpCYzY36l 1wjckKuDissMb9smg0wPVrOx1sJgs/B0E8J56HyxEr7LF351WHQ6snO6O8nt6ajJD+OmzpiW EzyuqmqzfmNbqbXV70GyuTB5VRVRlj2e4+5lHsWIEAPAFWtNdIBweNB58PWSVVWuQKEjId6H LVpF4OuAuUZHjG6YeRagOrMntsB7+t4DaCysdwCod4DLHGdIQ3Neqz2DLlETH5OSp2yPBEus UWP2Wty59ADBhA37UyLPjywzMzQSxHfhCBML5Rim+x6UfCWmy/ovs+pSL7ZrtCUGdUDlrKK5 13XdA6Tpne+wo8KCPLxPMxJ2uyRnVSNK3mdW4JGNarnnF+LjFB7o8p4Lz+Asnp413ogeK/JU rErtqXclQH3/QFRUHOJjChpb0JQjcTqbLxjWxAda5RbAXhg6wCo5MtkVU/5LB8wWp3PZcLIg t92xZycPIDlaMrYBiLEuXZ+wbhaL91WwnGbYtThnqX5MmsVZidUs4QSCHAeYVS57JGqgPcJs sgxwue/7qMmJ8MgCZy+KK2UrszR73wNxZgeoPX4y1VVSGO7T8d7AYmZbSF8gGNCZ8nZG6L9/ env589PzX2aoQL7iP17+FDNnFuCdO9U2UWZZWmB/L12kbB3o0SqOtqvlfIr4SyBUAeuKTxBb 4gAm6WT4Y5pVaW3N6VGC6e/awmWHcqcaH6ysI6Sh2Ybz1d33b6iauqnnzsRs8D++fHu7+/Dl 9e3rl0+fYAryHnXYyNV8hVfvAVwvBPDKwTzZrNYS1uplGAYeAw5mWf04d3kUVERFyCIaX5E7 JGc1VSl1XVKosFe1gQiaLG5DVnSt9Gq19cE1eV3vsC32WQIYWXo6wCmn2ZaB4SS3go7tnnkc lv/99vb8+e5X04pd+Lt/fDbN+em/d8+ff33++PH5493PXaifvrz+9MEMl3+yhr1eeW4Es/YW BsOGzY6CMcwV/jhKUq0OhTVzRnd0jPQ9wPAA5BUj5XbRY1NHio2jdE/WYwsdghnrAmmenlko vxQqZ8P33fvlJmQNfJ/mVZZQLKtirIFup4NmTUwi2emSPZSxfTOOcK0MR1iWu4L/LyUcXwFb K8VarL5fsBT1sc3NzJGlvJPmRDnGYqdibUS04MIa4FSo6qiI6InQdk9xt71iWFZteVXUsb0X sz07/ctIQq9Pn6CL/+zmqKePT3++Tc1NiSrhrcMpYCVIsoI1cRWxeyAEthnVkrO5Kndlsz+9 f9+WVKg1XBPBQ50z67qNKh7ZUwg7vit41exO7W0Zy7c/3BLWFRANYVq47j0Q+PeiygLQRM1p hx7kAkKd1w+QZ+zODSUw+CKNT8BhOZFwshjRc5XKs7UEUB51PsncibuZ2/Knb9CY8bjmeA8J 4UN31kAj42eUAF2V/Zd7pgOsOw4WQfK2ssPZqc8ItkftldXzZ2LBUwP7qOyRwp4rbwv6p522 CvsZjuHMqkGH5Sphp3wdTh0GAUjGg62yausVmE6DgJhp0Py7VxxlH2Y52BbH1ootWoXhct7W 2JY54PbYAptf60GvmgFMPNS694K/9ixiPtECVrqBScFGtQ9etPDEr53PsNFvC9dEqgXITMYB T8dhfjPVXjo6nodGWpixBoH5Watyz1Ev1NGPkSq3ddCaQU16qCOiHj2gwazV+yziiQ0cu/0D ysibmdrv4QCPMdfrliJX6ibRQmxtsBjvP3DLpCPzD/XPBtT7x+Ihr9pD14rD9FL1tmfcPMNm FfMf2WHYTlqWFZgTsi4QxhnVliRL18EVH2ZW5N4CzjFynbcV+GuI8GbviE9OzA+yD3LqD1oh wXswuWPhTy/Pr1gdAiKA3VH/bVVpf+NT4Yec5ge1eQKfdPGKn5r5SIEv7Xu2E0dUlhDFQ8R4 SyviuillyMTvz6/PX5/evnz1NyVNZbL45cO/hAw2ZmCuwrDle90qXKyXM+pvigam/XPcfbkk X15ZI4zhiBMp+M78NQKdm0KfcAult8vrgDbSi00QCDg+qOpB7/KwJ7QqDuQ0ssOd3piP21Vv LsVkZX027/dc58fMqwjgCl1NfLVL68y+KRjEV8q0u0MgmgDxg8XJ3wz4IDmt5qGW+MHmwHr7 iKH0x7SuH88qvQi1Rs8bh8jq8krOk4b2OhW10il7xzy0Gr7PRWCwESo+xxdvQ++x3jGXE0Qo EKp6WM7mW5GQozIJh2t8s4OJ7RRx3UxEtcWGEAixFYiHZB9cpf77AC+J7EQMk/AUr3dTPDvB JfB+GQgV5O+BOGNmSqHQA2tG3C1aZ0l4++vVLfqqheKgnK13QrWT648BDMiz1RHfrLFS+oiH 5IoH48FGxjdiPOvFFoW3yn8XuJ5yOjWRu8Mh8qMIwEko2WKXezZl2VBw4uLFBBc3zFesndeF 7/WjxvYSLeY5sbWoNcAxG88znz9/+frfu89Pf/75/PEOQvi7QPvdZun5AHU5Z3skB+ZJ1XCs OeKXsU6jPM7be1ObHOYHPe4c1dusuAq+RBUPmprp9DpVIcKZj6NroWIVXrgt4q2HDn0srmxm ddW9C9d6w0PnafGe9EeHlldyoejAKg6vXnLdaQXrAjGe9p1ePnt1Y8HzNVytGMZFYQu+H7pJ ZSShn7pOAqqyNzrKfLaEA5F2GaYsOmAUUHjWxYz5hhH7zZxoPLk2aUJeddprJoMs/M7S6NXK q4+Lnq9jm/RwrmnL9/zXn0+vH/0SeoaCMEpvWzsGq9qhUcgzYtHA6ywOFSK29wELHr5DxfCg lc/D6+t8NfMqqlKxkdYGRel8n/yNSgl4ibrXOHwk14+6sXf+Z95HYtNAC945+bvqEfRCkhMG C72Livdt02QM5qem3dhebLGTKFf/2ptEuYjbjclVswr51+w1mKtcbq6ne0PjqwN1bQFvvEI+ aPrHJBIcrv0GNfB2zhuog3mleWaDenRNrnYt6j3AdYOKPZ4dwJUQcrtdDjNNrH7Q0fjdjJsT /OfNrvGMMFnyuaHyZos6iReBl11dgg/oLBtsQcLm/mbmzCo5x3IrGuw8x3m8WIQhr4xK6VKT s8ovX388I+VxFSz0bJjCTnp3+wNyHtwRF2xJfd7Go5Xe+U//eenu8LwTDRPSna9aK2HYrOzI JDpYYjcSlMGXbyi2ayx/ML/kEoG3+F1+9aenfz/TrLqzaDCHTSNxuCaaHQMMmZyFkwQ4Skh2 xF8jCYFfxNJP1xNEMPXFYj5FTH6xMLNtLJOb9WyCCCeJiQyEKX59OzC7ByO+E4/uoHBjHXDi 82mMeqbtwZM68GigdHJclMRm6wyn3cSVu3tdyb7pHnpBM50qDxYCg0o7Ra13UoZ1yQvmZHom iptwu1xFPsNbAOPhFD6fwAMf5yYKelzvtA9CS12l0B1B9S2GpMEYipRVtmDDueEBRm+0Ja9v UXiCwytIODtzn3n4/mTm+kN0wioVfVRgt2NDFinGCDXVv5zMI6xG3mfab9ue6V9A+jEKy1FP 1VfssqKPSukKMucTtj/PFj7hLdE9kVXhBu8tMI6l1h6nu54x3SIidY8yNF+uNkIC/bvniUJs 5U8MIWTKHZnku51PmR65nK+E5rDEVqgRIIKVkDwQGyxuIsJIaEJUJkuLpRCTk9GkLzoxbeP3 BNuD26yJg+1SGNf9eyKhCzWr2UKo5roxM82KDpeZN7u52bZOiclkBPrHw4jztuaYZGexjIE/ G7LBxSFsNawmUr35Jd/4+pyg50li5xoJmHx/5Xh0xkbNL8RTj/1ppKuEQ91V93G0zFw8vYFb A+HlFzxr1W20U83pcKrRE2GPWghcslmQ27URX07ioYTnYG5silhNEespYjtBLOQ0tgGew0ei 2VznE8RiilhOE2LihlgHE8RmKqqNVCU63qylSrwPm5Q8W+zx+Uwm9lE+Xx35UB7SASOfOo+l HOzYo6QOb66VkK9ErwMhtJG6xWIkaZaZKTEXGPdYP0qEPPGde4+r1b3Z3e2Ewm/m4Wy1l4kw 2B8kZrXYrLRP9CY0xJztdXzMEx8/ZKt5qIViGiKYiYQR7SIRFjqWO+qKCp85quN6vhBaRO3y KBXSNXiF3SEOuEmBzVVjta+kHgJqOXJfpOdvPfouXgpFMx22ngdSnwLnQtEhFQi7IAr9wxJb KaomNhKB0D+BCOZyVMsgEPJriYnEl8F6IvFgLSRuLchJEwwQ69laSMQyc2GmtMRamKaB2Aqt YfD1eiHHtF5LLWWJlVBAS0yksZhvpAbJ42ohLh55WuyD+S6PpzqjGZZXoftm+VpY60DhR0Tl sFKr5huhYAYVqjrLQzG1UEwtFFOTBk6Wi30630rdM9+KqRnJaSEs7pZYSgPDEkIWqzjcLKRu DsQyELJfNLE7UFG6KYW1qYgb03OFXAOxkRrFEGYDLJQeiO1MKGeho4U0x9gD7y2+P6Sq7EM4 GQb5JJC7TWA2foKoY6cosfM4YrQfJAZZhNJk1c0XQrkNE8w20swHY3O5lEQo2HKtQyGLZqOy NNtjod5PcbKdSWsEEIFEvM/WotgBBoDEhU4fG6noBpamEQPHEsx14geJI0/nm4XQeVMjDixn Quc0RDCfINYX4qZxSD3X8XKT32CkEe243UKaYI00slrb1765OFlaXhqTllgI/dPIamtp4THT 7jwIk1DeCej5TGocayU5kL/YhBtJtDaVF0oNqooomAmrFeDSetDEG2E4NMc8llawJq/m0nxi caGNDb6UWhhwKffy+VHPnlXUxtVJlqUMuQ7XgqR4bsDVp4SHgbRluoRGrJ0LsisQ20kimCKE arG40A8cDuOaqpshPtuEq0aYYR21LgQJ3lCmbx8Fqd8xqUixWyeMr4bLTPl9y9BJ4THZ1Ear uZ9R+9aw8hHzyg7g8k0PY83aHrvUyto8b5taYf3Jnu/9xR/Kc6ubtGovynp/GHTRpID7SNXO yImoviZ9AtaXnJH9v/1JdyKSZWUMi5qgAdd/RfPkF5IXTqBB172lCu+YHrMv8yyvYyAzOP12 dHqbHpyk532dPky3e5qfnBWokToqrfwPwNaHB+oqjWofBgNLcHYkMLEU/l7V95eyTIT8l/39 F0Yj8zOJhNC70OwNoYJsoeOyzOjzbXvMbSs2ziI8vxkZo63u4dIkF3LtvgOzc0ljJvlS7/kr EBJA+n6xnAn1Z8du3xR16iUJhh68j/IGN7SdIZrnv56+3anXb29fv3+2+srwXOazZKmpUTaf focQ2hyU+xcyvJThldAodbRZBTzH+unzt++vv0/nM70+FqVQl6Pyom2rKIvI3aj3cL5HWIsN cFFeoscSm5McqF5LzTmVfnr78MfHL79PuvLS5b4R0u9OliaI1QSxXkwRUlROL+E27HQCVaGa mLgkGbe4fgSNmbzKq1Sp7h5SJlYzgejMhvjEe6VquHv1me4JkFQRFwGsi1WznodSMTp5x2dA 22UB14V1I5bfqqMJBJwxwCMnIRdgUFWICR6FCHinnScwUfxwUnUKZt8RmJyd8yYGZyqH18Y+ ujGiMEXTXdyajduSovbIMmSp6WpldkUt8ZFySMuEBzMx7lVTxVLXBLfFfobVbgP1SqE80vhS O9qb5Y8GWS9ms1TvGJrCnoNCbjqOpZYYrjolzhSVxQTIOS2S0l3408eQjdk1BHv+RbihyLES knL6XDyg+QlmvsyyHZfUcKI2Gx5eZfaMY76gYHGmDbae8doxyyPrKbCp6zUQfWax2W14mWCT QIBe/PXQcLPxwa0H5lF8fO/3q7Qy20lpLuyaMVWs9Go7W7Ay7OJ8M1uErJnyQ5XELA/gdiZg 4+XqXC/8Mup7/fTr07fnj+OCEFP/1mD2NBZmxqRxz9x6jacfRGNCSNFocG9Qaq12SM3ry+vL h293+uXTy4cvr3e7pw//+vPT0+szWpvwA1uIQtPXrQDtQIIkTxkhqVgdS6tHMiTpsyye5QII 8LabHLwPwHzLzRj7ACy/iSpvfNbTDFUZMewDmDPbAhm0Btzk6GggkaN3x6aLRV6z7L5+efr4 4cvnu29/Pn94+e3lw12U76KxUeAjFoXXBhZ1BY+VkFvCS7DGVgksPBZOJg5mKLZxXkywfrnJ mzlrcOS3768f3l5MV+xczvpufPcJk8cswpRpAfP1kSyqFxt82tBjRA3APjDkar42ZNQE4WYm 5MDZYNxn6TXGw2OkjlmMz0yAsH4JZ/jUxwa3ugwSxrwC7gUXlgicDE3f/drCWvWmqwBiPQWI opNJSQwI95LkN6A9thbixRcfHUZ0pSxG1J4BgWvOK6/DDvTz2RNeRsGnjJHaIt5GR7Vemomd Pmc6NmDLQKt4QTETK1G1hgjccvNwiup7wfYF2JImLy8AoHZVhg0izcMYd1YRg1MEZ+9tGEld YQ8c1QMH3KqWx7mRLEpKcOVywJz/i5kErgRwzTu7r3fVoZvNGuuGj+h2IaDh0kfD7cyPFrQo BXArhcQaXBZkz6cs1u+LkCz7/soM7UNASTcZcNgJUMTXvxt8EpAeO6C0l3WK68K0Jbzlszng WuIWbPTV7zJcRWsIST2nA8qfDVjwPpyxOu22YyyjaSxlXy03a27K1BL5ajYXIO52FfD7x9D0 t4CHxq+vo9115dVftAMzuDJYNqyt+9cRTuxq8pcPX788f3r+8Pa1E8GAv1O9B3PhkAACMNur FvLmOK4mBhhxL+ZNcvw1iMOoEqXthuw1CGj8zWdYQ9FpB5JzY89vj82P99JjRLczASV6hQgN BZS8CRlQ8iQEoYGM+kvEwHg1bhgz4eHLiv7gwO+ZPROdyGTauy3xP7hk82CzEIgsX6z4yJOe 1lh8eIgznHJbOFelcJRtJyf6ds5KIfyNEwL96uoJr7Zivdxk2CKfLWW+IjdXPcYbzb6h2QhY 6GFLvgbxO5MR83Pf4V7m+cOeERPjcO99yDxwWYY4E8I9+eh6hz0RGIm9uqamjcqsIZpFYwAw rnly1mb1idiYGMPAPYK9RrgZylvOGbXGS+rIgfgd4htYSlHJHHHJaoHbEjFFRNzOIcZJ5SK1 o6bKEcM7M6LYHoEyeKeAGCa1j4wv5aP2ZXI3ZVZiSlykpsx68hssXhMmmIsVZBmxFvZRYXZb ch7o+oqcSFk5WmKUzraLmRiZodbBZi42EqxZGzFCy4jVYB8MiNUNjFwgvg4ixk2qEuWLsJRb 4ZWPUOF6ORUjtQdBqa08CD3pllFyD7PURuwunmTMKbGmfNmdc9up1DZUQQpx3U6OuVUiPHEF SqlwK8dq5Hm503NJf2S4VISYnZogyF4A41zOR9z+9D6dmMyqcxjO5N5hqa1M4QeGIzzck0mk J8QjioryiOACPaLY7mFkdJBX0UxsCqC03Ep6lYebtdhMvpyPOLcqt+cc79pG3gh4q/l6IX7r C8GUCxZywzhhNxAL7wvNnJMHky9AM46I0R4nNpHjltN5IeI247by2uKL3oRjwjTi+FOwkeLC HWVWU98s5QHliW5poiJ0jzOeWH5+/vjydPfhy9dn35CW+yqOcnDk4F0COdaINVlp5P/zVABw EwA2BKZD1FFivYyJpE6E+6fuu3iKMT+aGhxM1tNMm5zRBv+sktTagOHQeZmZHdNpB277IixN jzTHouTMJV9HOKk3VwXMHFFxwOZmXAg469b3aZYSw1COa04FLo/NWJ7mgfmPZRwYa5+vBReb cUY8gdjIdqc9vM4V0CQ3dc5zDsQ5txo5E59AvSrpM7+WDRqwZW/ETWHKSshtcDOVYDp3wWSJ Apo384PlCpACv71r4CLLM5AKwcAGfpREVWN2JL+EmEkeiwhOo22rDzoVuR113u1AzQ+JDEBM 5texuyFNa+wNTuGH46q2QAuhKFykw9cEN2viBL4W8XdnOR5dFo8yERWPpcwco7oSmdxs6+53 ichdc+EbWzXgn0ITbPRdS6JIC/rbtxluxHeiGOjyRA32mjDgzknR7HEPX/Al2CCljcG9CUCF p+BPZ0FrqKnTKH9PnJya+V0Vu7JIvKTVoayr7HTwsnk4RXizaKCmMYH458SMtf1NHVR22NGH CtbZADMdxcOgk/ggdAMfhW7j5ydeCdiaNHpvpZMEdGZrFO0y+OYUavtUXPGJiV0zwKk6Wzov z79+ePrs++CAoG62ZrMuI3p31mcycVvn9NpZ5kdQviLWX212mvNsjffk9tMsxKLaEFu7S4sH CY/BlY9IVCqaS0TSxJoIvCNllqxcSwQ4v6iUmM67FJSj3olUBr7gd3EikfcmSmyfETFloXj9 OSaPajF7eb2FB6niN8UlnIkZL88r/PqLEPh9DyNa8ZsqigO8/yXMZsHbHlFzsZF0SpTiEVFs TUr4IQDnxMKaIauuu0lGbD74H3mtyCk5g5ZaTVPraUouFVDrybTmq4nKeNhO5AKIeIJZTFQf qKKLfcIwc2IFEVNmgIdy/Z0KM8WLfdlsU8Wx2ZTOaYRAnCqyViHqHK4WYtc7xzNi/AwxZuzl EnFVtXNNpMRR+z5e8MmsusQewKXqHhYn0262NTMZK8T7erFe8uRMU1zSnZd7HQT4WM3FaYjm 3K8E0evTpy+/3zVna8vJWxA6sf5cG9bbKHQwNwpJSWGbMlBQHcSsueOPiQkh5PqstPL3FbYX rmfe4yXKRjE+PSIchw/lZjbzAjuUXqsSJisjItDxz2xjzFriHMHV/s8fX35/eXv69INWiE4z 8goKo/JGzlG1V8HxNVgQA8kEnv6gjTLsjpZyQkM3+Zo858OoGFdHuahsDSU/qBrYo5A26QA+ 1no4IncpQ2C1s5KKFE9PtfY1yuN0iFikZhspwVPetOSetifiq1iafEsWtzH+g2rOPn6uNjP8 6hbjgRDPoQorfe/jRXk2M2lLB39PWglcwJOmMbLPySfKKq2xXDa0yX47mwm5dbi3/enpKm7O y1UgMMklILeZQ+Uauas+PLaNmOvzai411b5W+E5lyNx7I9VuhFpJ42OhdDRVa2cBg4LOJypg IeHFo06Fcken9VrqVJDXmZDXOF0HCyF8Gs+xDYChlxgBXWi+LE+DlZRsfs3m87ne+0zdZEF4 vQp9xPyr79kgsx2t3Z2SAz7NGBlyUKBz7SKq2bjYBXHQaQhW/pTBWWn+iLTrVWgL9b8wMf3j iUzj/7w1iad5EPozr0PFSbyjpNmyo4SJt2PsRN5pGv/2Zv2jfXz+7eX1+ePd16ePL1/kjNoe o2pdoWYA7Gh2pPWeYrlWAZGT3ZbTngOy01p3UPv059t36azW5TtPH/mxmhHSs3JNbPF0a8Vl 7S2G78s68kQAC7ZJvPCicAwIVDNfDHDk7vR+Kj4/S47J8gxvMT2qnvowOuu1qQAtVtnPT4Ok NlF56tx48iNgYt/Z78Twx/SqTnl7SHNVeIfFHclcxHQtd/VPo5vF3Eqfk4X5+Y///vr15eON MsXXudfIgE1KIiG2h9Ed8TtPzrFXHhN+RV6JE3giiVDITziVH0PsMjNsdqpORFYYuxZPC/tQ 91wtZqulGOIGlVepd3a/a8Ilm9IN5M9EOoo284UXbweLxew5X2zsGaGUPSUL25Zd+6Urd1HG ZhQkO4NJ38j5T2MSYnTezOezFh+ejbCEtaVOWG3Z5Uc4YpfWpT6wEuGIr0wOruDNyI1VqfKi Y6y0ZpmtdlMykSPJTQmZWFE1cw5g3baoAK+sfuEdQbFjWVUpq+niQE6sbS4S/tAEUJ0r6qe1 u8U4VeDXgXakZTaY2O9eOXi70Djap20cK69rnoebQW/ais6qMJV5rtTeCNjaJPF4M0wcVc3J uw4ytbxeLtcm8cRLPMkXq5XI6GN7Lk8czRcBaEx5gRcxlAH76wNFdV6sEWt1HJlZJa6xIhei fYcFLiH7+Pus/M1172SxjY0ccINNvSK5VxlKe5OyjnJ9KvpnxMtWeW06MlN7/lXV7lXuV67B TfdSkNvJWOHDm4lW7ipPbvQ+95CUv7pi9pjkk2Xvefkaloci/qD8IFqpbSDN6ChIUt6ic3X1 Dza8AHJmo3y52BjJttp7dcVdQWC0bSovqo45N17DNuB2ED2NhplhuFqWJ4bx5tm6g8+INQe/ hIfAW78x/U5YcUkF+Ydc+TUwYnoeVfjmSBoC7UH7PdmUeAdzkzR/+IOtNpOvjrTJ5iR11pUn CDUwwXnV4lCvtU2VW8PVE/V9VmflVaEF7eWzdb6+XnLatBFfzqbme3v/Heo0blxXc9seJ1Wa /U6exz/DY8PewSpW7Tc7RqDoltFpdQyX4gxv0mi1IUpHTglELTf8FJ1jY0h+2M2xobCccJ5s KTZGu2YZyOuQ32QkelfzT00zKPuXF+cxqu9FkJ1M36dkkbcb/QhObwp2eJ9HW6JaNlYplvkI 3F4bYo7EZcKIiZvZ+uh/s1+HRBXXwYJ2vmOckv8vk0Y5gA//utvnnc7D3T90c2efASMn02NU 4dXvgPuXr88X8BbwD5Wm6d18sV3+c0Ja3as6TfixXge6ywK+xXHrYOczatg/fvjy+TO85XRZ /vInvOz0DiRg07Sce9Nwc+Z6IvFjVadaQ0Zy6rOVy6I3pNSJBc1I+8v1BNyesQ9LGKsqKkx3 JTU04nUsoTbdPdtZP71+ePn06enrf0ef4m/fX82//3v37fn12xf44yX48L93v3398vr2/Prx 2z+5chloVtX/H2VX19w2jmz/ip/u3Vu35g6/RW5VHiCSkjgmRYagJHpeVJ5EM+Mqx07Zzu7s /vrbAEgKaDSc7EscnQOC+Gg0ugGwcZR32fOyNjZ1J+dzGJhu1U9ueT99rqCugX769PxZvvbz Zf7fVAAo4+ebZ3mF8p+Xx6/wR9xsvlygyb6JVZzrU19fnj9dXpcHvzz8ZQjX3LXo45cJLtgq Ci0rDuAsjezVl5IlkR/bU7HAAyt5w7swsrcCch6Gnu1Q8ziMrG0rgdZhYO8Z1Mcw8FiVB6Hl ZR4KBk6mVadTkxoBIa+oHsl0moS6YMWbznaUxWmh9bA5K052R1/wpTNwq4M0J+oyJ5n0+PD5 8uxMzIqjiOthGVMSttaWBJx4loUn4NSuPLj9vlVLAGNrAAKYWOAt94wbxab+rdMECpHQnry9 4KVgW+uII/2ryKrhcOxiPyKUFMCxLZtim8OzJfkUpHYrDafMuPZAQ626H7sxVDGGtT4UA+3e GIdE16/8FbXdFquRpeV2eXonD7vdJZxaoiwFZUXLjy34Ag7tRpdwRsKxbxmLrMjCNLNGILtN U6KfdzxV8Txl1fP7L5eX+0nnObc/YXLbCx+1thqhqVjXUUx7DJLYEvYWJNXWaAK1m6w9Zokt YUeeJIElSs2QNZ6tQQHujAPVCzx4HgUfPbt5JWznzXsv9DpiaXvftnvPJ6kmbtraMtB5fJsw e21PoJYIABqV+dbWifFtvGYbun/sxPkqbBaja/N4//qns++Lzk9iWxR5mBgfsilYfJlpr+cD mkgjQxttD19gxvzHRRh5y8RqTiBdAaIS+tY7FJEuxZcz8c8qV7C7vr7ANCwCaZC5irlgFQe7 qz3y8Prp8ihCvzx/e8UzPR45q9DWV00cqADZyuqcjIdvIk4NFOL1+dP5kxpjytKZ7QeNmAef HR1tWR6qmtEzwqFeKSn6RihTkzPjkxvcYN7MYHK+/pGCyR29gObEoDcCEutUbMYk1ykUlVyn VsZ3awaVud+VrRxU/0sc7elKi4nH+OhWWpHz2XmlLb+9vj1/efj3Rax5K4MVm6UyPZi+TWd8 iaxxYNalQUa/SJHGN+Mm6QPrO9ks1aOPG6T05VxPStLxZMMrQ7wMbgjMKC6ISxy1lFzo5ALd 9kGcHzrK8nHwPUf3nUd0eNHkYs/eRp25yMk1Yw0P6vdP2OzKckomNo8innquFmBj4CfWZpou A76jMpvcM2Ywiwve4RzFmd7oeLJ0t9AmByvL1Xpp2nNx4sjRQsOBZU6x41Xgxw5xrYbMDx0i 2YPl4+qRsQ49X99jN2Sr8QsfmihaziBMmuD1cgOO9s1m9lJn7S4/kHp9AwP1/uXzzd9e799g jnl4u/zP1aE1Fx74sPbSTLOXJjCxDsaI852Z95cFJmDrIxQaueChin9NFevT/W+Pl5v/vXm7 vMCk+fbyIE5QOApY9CM6pTRrozwo0Iad6J8E7XI1+zSNrgs9AP3Ef6RhwFSPrJ1CCeofEMo3 DKGPttt+raH59CDpVxA3dbzzDed5buogTe1O8ahOCezuk51CdZ9nNWXqpaHdvp7xueOcNMBn gY4l98cMPz+Nh8K3iqso1bT2WyH/EadntiCqxxMKXFHdhRsChGTE7+Ggp1E6kGCr/OLKbYZf rdpLzo6LiA03f/sR4eZdaoRRWLDRqkhgHSpUYEDIU4h3f/sRjZQ6iYwLH6/1iNCr9+Ngix2I fEyIfBijTi2qtWhEfMhyhnMLFld6NiTaWWhmi5eqARo48qgdKliZW2K1K4Ksxq0JgyZMLKkq AlDoPYFGPt4Fl8fe8IE7BQYkKD4fJbQarpM4l3a+7noImcsnxeqUNjFaUyzmqs0CUhawplPa ZrU4QAOHd+6fX97+vGHgUTx8un/6+fb55XL/dDNcpf/nXKr7Yjg6SwZCFnj4tGvbx+Y9BTPo 46Zb5+D+YYVXb4shDHGmExqTqH5ZgoID47D4MsA8pHHZIY2DgMLO1qr+hB+jmsjYX7RIxYsf VyMZ7j8YHimtvQKPG68wJ8P/+o/eO+QiZMpim8wHt7VHwRV9/Nfksfzc1bX5vLF8c50fxBFq D6tFjdK83jIH1/vp7eX5cV5HuPkdXFo5y1t2RJiNd7+gHt6vdwEWhv26w+0pMdTBIlZKhCVJ gvhpBaLBJJwxPL66AAsgT7e1JawA4hmMDWuwurCigWEMLi6yzqoxiL0YSaW0iwNLZORxZFTK XdsfeIiGCuN5OwSLPhqenx9fb97EAuk/Lo/PX2+eLv90WniHprnTdNn25f7rnyJCm3VAkG21 WQB+iAvb9e1DAcmAiiZkHP0QwLHSPyyVERi3gx4xecvOrF9bgNy33nYH/sFPdIqfqiHflX2r HxrXz9TAD3UMpdBPvwi0gEocRnnNqvEtkOBuG37elbV5smrCN2uS2siv/omLIgQpPlc5g3dR UBt6wA8DKvK2bM4yOq2jEAanVEqQz+vZ4nZ5ellLPC72s61l5ZnIdzDjJzbOq9o4Ijjj+7GT qxBZOqIaFRuE9L7uj0uEFSVuKYXJcF3dgCoOMrfVD1VcsXNe3ZK4Kx91vcV02my+PuYmf376 /eGPby/3YvPWbDXxDCQxM9q3h2PJtBJNwLTzGpPwfNXKh5DISt5lXlfb3YDaOjUmWYFkxkcM E3Lu+rKummrP+rvz7mTHvFgSki3TbJkJGANYAMYAlinY0QjLJhNtSyTPx+a0xQKhMBg4ORaC bWN+DzphCYGFFghe/KYq9UCtAj0UNRICPlh13wY4s7zqQeWeP8K4NomPI8pv3eY7q616UAVn S2Y7ti+XKz6Kh9evj/f/uununy6PaKjKhNbKosZMZ5fqIjMuR7+mqIHcRrEe4OpKwr9MfJWb n4/H0fc2XhjtcQOYL+JJmTJGJ5HRGeqPvuf3Ph89/51E3IvCwa9LnGg5o2q0zDVQ6Prl4fMf F9RIQgV1wz6MEqtcQpmcO54mugGx40yMZtRVeTS/dvNy/+Vy89u3338H/VngLZKNNjfNulxq dg0Gl6QpxE2oBrZvh2pzZ0CFfiYVfq/bdhC+AhFAR2S6EQdT6ro3Tj5MRN52d1AUZhFVA8Nz XctvaZd4mBPXw4zVVWNZixgD5/XdUBIBMiEdv+P0mwVBvlkQ+puvzKbty2q7P5f7otI/H5HV H3ZXXC/sGv4ogrzEClLAa4a6JBKhWhgBY0QXlJuy78virJ/RkFN8flijOoHBUVdrVLSGiVjR JaffSahz8Yy4HURN32ZphqqWLTaoWy1sefzz/uWz+rQIbx2JLpXKysiwawL8G3py04qz1oDu LVGqO26eFRDg3brsTQtVRy0xZj36DdYD9Ir5pqrhg4lA8+oLPIAcxFgw02Cg3FTmKDNu/xYd uTUfaLtyL47Wm+3E/QKFVhd5HauiYgRkhj+9wujA1ZWgxaCvjswCrLwlaOcsYTrfytgKE4Oj TL1Yv8BUdB/rYUS3IraUfmRKSvTQtyMBgSFd1+W+OjQkeceH6uOhpLgtBeKKzvmwY2nqBWwn LpDdVgp2NLci7aZkw51hmy6QIyM23OHf59xKImJmlT1MrnVe2NxoQfS7eIh+WqMNG2ALZLXO BLM81/00QVQc/z6HaLhLTDc5xWhEo+MoQ7iJWQLs0DbfcIuV15524CGtQSWgZtyXLcwYlVnm 27veVMyh4VhMAFEnCeMWOLZt0bamgjgOYB+YrTyAHVIifWUcy5Wa1HwGxlODp/wJE5e7Nefy KM/ULnOHQeYHPrQNPYfIy6SMfNX1UvVIgFsaNKssQmFbgGpDJBhmaHmJ8PyAesCwrYX+WYNp Pg5RjERo29ZgmvMdkgoZvPmKiauElDO96dv9ADO6qSVK0BL7tkF6Zg2diNT3hMmPtbZo0Mwc FpB1D54635Ul6vxDe771M28kUY9E0TR0B5P90WxKZNcLiMM0pH+hJ1t8pW9yLWpC6BXbThSg ihqlApyZTB1tPC+IgkHfiJZEw4M03G70RTWJD8cw9j4eTRTGbhbohzRm0LivW4BD0QZRY2LH 7TaIwoBFJmx/DyUrmJRJ2KBcsb8jMPBQwiTbbPXVi6lmIMO3G1zj3ZiG+o7ytV3p5rvyk14n uwSFqdcypafbawIjQO0VxlGzTSYmBcOKhHylWGeInPb6Js0i/3yqy4KiOQPPjVEMjkWqvQvf KmRQqRF/DFErkrKvUNHKb0UT1rLEMdONDktCj6yYpDKS6dI4JkuBA2hfmXYw1ha0gjNxbR5Z AjuK75WzI9xq9UUx3TXRNe+lupb7CB21qjuKWxeJb3w0vGV8YAP+VIn2aaYP79QBiuen1+dH cF0mv376VML+GH0ro83xVpdUAOF/6vpQnouorGbMPpoHHftrqX3qpBa8rcwNGP7Wh2bPP6Qe zfftiX8IlsW9DczfYFJuxEWMVs4ECZplUBYSOMj93ftp+3ZAy8l1u23NX+D77g9gNxtf/mgE 8qs0Jq8PQxAYhwwP+nQrf55bjj9GNnGx5gg6s9JvyjNy2cu7Ooybt/finp/GAs7Gup0Ai4aV +62wk6z0u1NRdibUs1MDDpcJCotTfkzTbjZiId5kfzHEaEamMGHGxoDgeAkezj7HdQFYCYkJ QwuJDQETVN9vtnrAx7n2LlB8WA5tQJBEuy5FtLPb9XT6mViWps0uwFFp9cqwUUxtBf8QBkam yi45g8VnRkKWBQff4LxBOR3F9VC8tBwHk6v2A+ot5M4t0PyQ3WZjf7C8QPmWBhQbbh0VEBhG JSloovFQl3d1CKNrPTGLtT9x0cyR61iy5dbsVOIUGg8C5Xu3vv3mpjtEnn8+sH6gi4RqO9qY iNuGYwHLRsDff6qm5Gj0ESOAieiq6MVVb4/RZujYEUNc33FSotpXrD4f/CQ2Tg8vtUclBAls 2D4YI6Ka6uJ4cInLd8llSHhGQdbW1/AK9pNzgZvFCCUhX1H4qX6XhmoobnjcE2YetVRgFUcx qinj1Q6PMpg3qrGjMLn+iJQpO6TGFtOMBQQWYuwUIODXIQz1FRUBrgfjcNUCndujuGi+xWo4 Z56vG/MSkwErkHiPd2CR28KscPQ8j4LUtzAjOu4VO+/Lk92d8v5Nj8Bi9KWfJIZxg8pbsL5m uFlBu1tYze7shOrpiHg6op5GYGPcAqRmIwSU+a4NkWas9kW1bSkM11ehxS902pFOjOBJw5Eg TrrnfrjyKBA/z/0sTG0sITH84a/GoK+2BbNpUqx6JDR/uC72dZARsFNipfa5np/++00cnvnj 8iYObtx//nzz27eHx7efHp5ufn94+SIW/NXpGvHY9asSlB8a0eC9+sbKwQJiqZDnMNLRo1GU 7W3bb/0A51u3NZKjekyiJCote6HkQ9+GNEo1O5hL1oy2b4IYaYYuH3do6u6rbqgKpN77pgwD C8oSAopROrlVeqzWuE7WaqGa5VgaYLUygZT+lctgLUeSdRyDAJXirtloN2Tvip/kx1BYGhgW N4aP58wwYUULGEx6CVD5CMt4XVJPXTlZxw8+TiDDLlnRW2dWmh7wahFE7NZFq0tEXCyvtg0j K6r4I9Z3V8oMEmNyeGsNsSI2OsMioPEwleHJ1WSxTGLWnoa0FPK7BXeDmKHLZtZaxVq66Du2 j8q6L+0noYzOrjWPq8xoOeIgX0sphBSAUYA9eDkQbVNnFeaBH9LoeWC9CPm1roZerFtE4nym ntCITzkB+M5KAxaHZ965PWZOe2A+nhckzMfgzoZzVrGPDphSjCorPwhqG09EAAsb3lUbI/SO tMHyIrCMTBlpFJzuxIa7tiDBHQEPMC7M5emZOTKw5JF2FGU+WeWeUdvAKypcl3bcnEyk4uaO 2pJj29+i4bwu1+3a8W4R+tc4JW2wA+NGMHA1HzU5HpTHsQMrt0TF6QopUznyMI0r6SdAOSdr rIgEM282vrNeIj98nNZCbGZouxb06h3xUuysTeCZjdW5Coi8ZpJ3RWVXyz5Lp0Zro+7+dsDQ Tk6K83dpaJP3nnyfxlTmK4Y12TbwVBwL7I0tz4urtTzsfepZjPF3cpCbEYW7TRqswtd5E6Rh LGmrc8ouC8VV8biVixLGyV6eZVLPTHFs8ynoibA9Ny+Xy+un+8fLTd4dls/echX25pp0inxD PPJ300jhchGoBt+1JyRdMJwRgicJ7iJogRNUSeZWNaNcE7JkYCZhbDYH7Lc0cxOiZpqWslHd H/6vGW9+e75/+Uw1gchMiEliWZuKK3lqudIzx7dDHVvKe2HdjcHUR9A9Xgv9NVpFni0eV9wW KY37WJ3rdYJKc1v1t6e2JRSazpxZ37CCgS93LtZUdbYkKIpzrvAqjMa1eNacSXE4EGbt2p1C Np8zc8W6s6+4CEUEpoKMeAcmK3juqP7NphauD6Tao3mM80Gx9p7oTFcdHjQKtFebZgI0LjUA 5Bl8zql6zNT3HhUnd/RNTTPBjvGTca6ApGVDuNLIXfnvp7obcnnLZgLy+GMJY//dhLnY/uIn mXQV/HDSKP6hpA0bM3FdqQjy9156fntXs1ssIhpdw1uDNPlOJvV5Lxbv6gDmBt5EUKMff0AW NYxXjHikGTltrEjCqaHEzas2Wndi7z3XT0yblGNELHzVfUy9ZHTRTNB+YtN8IDOd0p/5mqhg D9YcjN7OzdDm0cI6NPTCzxLyThIlb0R9qp7IWaCUZ2NyZ9tmXxIcsB+qGm9ZkGCPj/98eHq6 vNjTIpr7DvuoojYbFOFomqHc9sRMLeFp6LtYYWfF4TusEZnKZIe+anht+RvXBKzO4wQ78Vfa 3ZHXkus3aM/sOGy6LTOl6NcxyJKVF+AmWnBS5uRXP/vZd1amm2h7IgbNLPqgbmUSIjf7JMby FL5qfiZOzXl3WBN5AcGs1Q2Z1ToF1UGKyOwKubjCT0NikAOehVShJW6vK2iccVBM51KiU1mx Co371q4EO/jhipAzyazwcsGVGZ1M8g7jKvbEOiosWLxLojPv5Zq+l2tGyfjMvP+c853HlBRD SdB1OKbUQAcZ9H28QSWJ28jHPtyExyGheQWOF9wmPMFLVDMeUSUVOKFRBI53NxQehykl9EI1 BdSLXTor52Fc00QU1HjvUSPoTlKkMzuiyJKgRokgEqLNBY63gRbcUd7VO8VdOaRYcONIeGMT 4cwxjDISX9V4M0YSY+BFVN9PzpZD7dVEixVsFeCl5wV3pScqKHGiDoAb9/td8cyLiZ5ai+NZ hPVhL2QI1OX8Kpxu7Ykj+28r7jwj5GEHzhmx/i8nTtl71Gio9iIC7m3oUVNNxdkaHBbCYKib KIsoQ0QZCSlRXbf5MDFEQy8mu4NKCFUsCePkKGKIikoGn8YQRJc3fkJNI4JYZYTMTATdrTNJ 9iuQoecRLScIKAXRCDPjfJtiXa+L/eAvJ+HMU5Jkln0NOppoLMDDiOpE6fKRcEa0AxiYsU9o GmF4Uu6QwMniOExslxuinGwHTqgTaQg78qeMB4XTTer2PXHg9iu+bWhbdGbonl3YvtwaV7AT vpVDd/N9FntUizscIXDhg5hS1IIwroBGhKOtJpKunlouIIiBkcpf4JRKADwOiF4Xa2XZKiHd cnAFGbVdwXgQU0YFELFHjQxBrPABEklsWJauiGJpwa7fJelW0xOQbX5NQJV2Js27Q23aOt1m 0s5nYcYLqWrxkAXBinJ0T3Xk4YNPE5F4lFJQAcGJEkiCcpyWqwEwLuKdUukbX1zzWh6JgXNq 7H3NCQ9o3LyS0sAJQRM4XaaUFH7AIzr/NHbkE1OCJ3Cy7Zp0RfmcAg+IwStxQoFQ+1EL7siH 8l/keoujnJT5I+PEO9KviBEi8JTslzSl/DWF02N14shhKleG6HKRK0bUnt+MU6NE4JSlLDeF HOkpn9+1iSRwygeSuKOcK1oustRR39RRfsqYFThlykrcUc7M8d7MUX7KIJY4LUdZRst1RplS pybzKLNW4HS9spVHliezjuctOFFf8BvS2GG0r/AxxsUy/3/GrmzJbRzZ/krFPPU8dEyRlCjp 3ugHEKQktAiSRZBa/MJw22pPxZSXWy5HTP/9RYKLgERS7ohu2zoHGxNbYsuklCbJg2hFVaXM wzigFqTmIIBaFzQVi4PokeHvME8b8QmjeTUCz16opyQYamrGM1HY1iN6InU1LIMd0Y3yIQVx xpj0M/JujvfFtJWOCtw5lfC+3bmk3Ae0U9Q/sAOvPpRzw8ggFxmtXXvbgMLt/dhdThmcZVq9 dBR1HjuWb/rfUEoP4ym4lllQaMJUZt3uMlkd2D5vrQWHdeekv3IoUn9Hf28bQNE/uoQ1TVZf tAJXZ8Wu2TtszaxrOq0X93Y1rT9f/3b9AAbtIGNvtxrCswX4gXbTYLy2j+0nqNtuEeq+iJwg 232lAVu4kYY+MssP9gFxjzVl5eUCNsrst149JvQvDJa1Yjjvqi5TccguCoVFF/8MVoWOGXeD XdCdHwB1JezKohb2C5kb5n1ABpbPMJZnziFej5UIeKcLjutXuj5aDbitUVL70r0G2v/2SrHT HSZCAtNZNmWL28Thgiq65XnpGBwA8MTyxn6zYvK41OgZHqCCsxSl2JxEsWcFLk2hhO4EOH7O zV1LBGZFeUQyhFL6TXxEO/u6vUPoH7YriAm3RQhg3cokzyqWhh610zqLB572GdgMwjVhrDfI slVIKFLwuoSXmQiG1/01bhyyzRtBVF6hh/OdC5W12z6gp7Ci0V0tL+3mZYFemaus0CUuGow2 LL8UaACpdH91jHlYoGMYysYJsx42PZterkd8muHe8JAzuIRaCI5jwBNT9BF1yTlDhdEjjifJ weQXAp3xynhlwgJVVZaB8SucXANNRg/rGSqjzqTKWwTW9k6s6YB1lhVM2aPdBHlF6G0tdERL VFLPr3qOdHO0US+xRuDeqEcHlWWo2pq97uESY3WrGvyq0Ea93E7MG1FPQsiyQR9yFrrZutC7 rC7d7xoRL5d3F736r/FwpPQwVdZwSkvivYmS4dc4N4NPe1Ih6K8be23bAoYQ/RPbyYQlmRgc Xu9x3HLPhWv2y+U90xgt8WrPXOmuYajUKt6eu1mgYEWhBwqe9a/CjHWIGZcyIBTPAaDxBNnf p+/gjbxQqGhzz2zNtzY7D+hOe91rcy8doIwfdKDc2hzprZIu2OaVcO8VG8+RWFInTygnI1TH DZEDT+9sb63l6/c3MAUAloNfwMIe1uhM1Hh11joqrpDuDHVOo869txvqXReaKGm/JL6hR11g AgevzC6ckWUxaA12/LTku6Yh2KaBJqS0SkjF9b5jzGfmW8pzGwaP+8ovitArhiA+00QUhz6x 1Y1DJ+YTehaJFmHgEyUphHIqMv6YiVG4JZX3P7MlM2rhaYyHqnwdEGWdYC2AkqI4av/1Gmw4 69WPl9ToyFf/e++PG7pnUoXdnxgBcnNlm/moJyEAjddf6diD8spj97befuUDf3n//bu/eDLD GkeSNo/sM9TYTykK1chpfVbo2el/HowYm1KvILKHj9dvYGwavGEprsTDHz/eHpL8AKNmp9KH z+//Gq+Pv3/5/vXhj+vDl+v14/Xj/z58v16dlPbXl2/mOvXnr6/Xh+cvf351Sz+EQ7XZg/iN v015b8wGwDgXreRMeqxhW5bQ5FarI87cbZNCpc6es83pf7OGplSa1rbBe8zZ24Y293srK7Uv Z1JlOWtTRnNlkSHd22YPcEubpkaHtVpEfEZCuo12bRKHSySIljlNVnx+/+n5yyffO50ZiFLu +Vc2ywunMjUqKvSwrMeOVM/U+L5E06jw3OearEw/TM2Dhclqw43QiZB2HaYQO5busoaw7DCF SFuW6/kjn6zgVi/v33QH+Pywe/lxfcjf/2U//Z2iNfqP2DkiuaWoKjyvG6mfl54gzXggo2gJ ZtGFMcXSqzdmKJFM98KPV8v9mRkuRKlbTX5xk0pPPPIRo2dg0RniruhMiLuiMyF+Irpe0Rid RCPFDOKXzsbiBPeO4QnCm9wMCts08O6NoMqtZ/Nt4EJCKKEnlN5G//uPn65v/0p/vH/59RXM KUGdPLxe/+/HM7wSh5rqg0yvUd7MCHv9Ar5APg43P92MtD4qKr1CZvm8fENHvl4KhCxCqgcZ 3DPNMjGw63vQPVqpDFabW1/uQ6qmzGVqb94YxXEv9CIjYzSqa2CG8Mo/MW06k4U/ZhjFahU/ kiCthsEtzD4Hp1amODoLI/LZvjGG7LuHF5YI6XUTaDKmoZD6QavUKsRTl7HDQmG+BSyL854c WxzVMQaKCa18J3NkfYgcl1QWh7dn7WLuI/vM0mLMqmqfeVNyz8JD0N5QZuYvLse0K61Dn2lq mCXlmqQzWWVYYemZbQPGhgRWW3vyKPoVuc+Iyn5SbBN0+Ew3otnvGsmuEXQZ10Fo35Oza97Y Op0p4onG25bEYXytWAHPZu/xd+PKiv78kW8VC+kackLQdewGuVvIIQzWl7wwAdYB/RA/L0yw oQXtBHn6O2Ho6rfCLH6elQ6S0yPBIVczGZSJ0AMFp1un5E3XzrU/YzSWZkq1mhnfeg58arB6 tlNAmPViJv65nY1XsKOcaaVVHjpOhy2qbES8XtJN84mzlm4ET3rEh40veuCteLU+44XEwLEt PeoCocWSpngLYxrNs7pm8Dg+dw6e7CAXmZT0HDIzvhiD8665Pos961nCW34NQ/ppRtJl5R7q 2JQsRJHRdQfR+Ey8M+yPdpKOeBJqn3i64SgQ1QbeGnGowIZu1t7mmrsPSc7nmRQxSk1DIZpB Wdo2fms6Kjw9aR3MW0bk2a5s3IMtA2P9J8eNZ5wd+WXF4whzcISD6lekaI8fQDNVZjmucnOo m2olqPf5Y3+XUPqv4w4P1SPceXWdo4I3YNU3O4qkZg2eiUV5YrUWE4JhIwfVwl5pBc5s8GzF uWnR4nUwZbFFI+tFh0P1lL0zYjijWt4rweEf0RIPLnBaA/bCjF9oXCy+Z6VyjnCNNBvc1eDY h9g64Gc4dnexNmO7PPOSOLewEyLt9lz9+6/vzx/ev/TrXrpBV3urbOPqy2eKsupz4ZmwLA2O y93ejAuE8DidjItDMmBJtzs6W+YN2x9LN+QE9Zp8cvEtbI6qefSI9FGppL/vD69mu/U5iN2P M1KFPfyjyE7+nNMvDiiMWqINDLlIs2OBS5hM3eNpEqTWmTsgIcGOu0VFK7veGK7S4W4t4vr6 /O3f11fdJm6HCG6DGHexvZXbrvaxcY8Xoc7+rh/pRqOuVJ2Z48vdVOTRTwGwCG+yQ0FQp01S PkR2dzTIXQwI7C1kmUyXyyj2SqAntzBchSTomsOYiDUa6HflAfXsbOe427aq9Sz0KIME05tV 9tbFuUjATE2pRINaX9tlMAug8b7L8Ba2hjIPUm2icCfYdnWRGucXzqK6/+dWza664WR1ljT3 /GcW4VmDxkcNTGVAcP8NTtJ6GONyNuNe1HeKvW0LDhrPnSASXsmPu+/3Mxrsas2HGtSU+bzA gq6/r4cSGc4jZkPwtDdrZNrLnXSK8iDYHZ5xqcfcOwHMzZQ7PBxdz7Npsqvu0Kcs4YxyADJo Sp17/aU9Jc4POFxyATiDchERLNaPVoeVthdo/cNVJzXwL5Xq/3Rb5uA73juohSiJa7d1gsZT 7LXPJOYU/RZHGYNqjo1HCDxoIl5Zfnp+DJFV6nz9BHWDmxOlnCP2G1/haLXW9Pe+qPrQrl0U K5W82UqKKLcdq5mydVOXbOwb0FaCZ3aM5oiQIrbwt/1aw5IBmNh2Cdj67vZIIqfENjxl6kRs ZYdB36uLycqXTC9KjnLhySpAxQRHQSr1m+cJ/6YErVG8Yz/Ah8iP77USU9f2gytToDZxjDMD 1qo9x0i6F7HWIlHI8WjRb1sD4aiMRs6l2ouE+TGcOwsyk+hG8oignnz9/PX1L/X2/OE/vgY9 RWkLs6jXC7DWvp8tlW4tXjdXE+Ll8PP+OeZoWpNURPF/N0d6RRfZu1oTWzta0g0mxYxZR9Zw k8e9Zwe/eptrFNZt9Z/78as17svTBPbNYxiYsSYI7ScCBk24jJ1Hzjd0iVHjXwYngJ3OjKBj PcCAFWebZTSDIucghiKgvIo2i4UHLpfns3e7auJst9w30CuzBmNcOnC28uhHd/2sjKDjU2ao t0yvwCQTOfXVS1xFgMYRRnsfN/BMsWlxw8DPvQyIvfZM4BJ/Xsp4EC7Uo/2Cpi+J7Q/IIHW2 A+fS9k5C31RSrZnjdEfjXAvn3kEvpyZabrDsPWc9fenA5pbW/ZOyPOAP916RGLThLF7a7mJ6 NOfLjfOQsU+CnVer2CuL8V+0wWlAM7cdqhsQudXpo2fFNgwSe/ow+KFJw3jjCUpFwTaPelvN qF+bmyd/vDx/+c8vwT/N8rPeJYbXetqPL+Bqm3ic8PDL7ULoP9HIkMBeC65YdQFfnHb2zevz p0/+uAI64M5xxGDD2BmIw5V6xercCHFYkYKNU3WYofeZVs8S50zM4Yk7zg7v2PNyGGKAGanx suRNMs/f3uAM+/vDWy+eWy0U17c/n1/ewOG5ceH98AtI8e09mFTHVTBJq2aFEo7hbrfQTEvT eQcDeqPnuJAFwaVLagauMf3TT6H/LPRUbvvDuWEdOOHWzf0O2ed6J7K90LVI4+hSMvOSaSfs e9xWIJamgxx+Qk8rYjKcbPaczTN4j8nin2ybvi7epTNp8vPO3nXBzJ3cgF+QjFg8Clu7zM8L suo0sfxZnRYZLSWN3ylbyWtn08Wp58I+NLeLXZUzAjRMx+m20ZPzZbF4c+eNDKTqag5v6FSV PTghgo4CIjlaVAZmWvQMCNekFa/tq82G8q58Z47RTRMmz3aMX2DMtVuzoZBEBgwMNujJLkOE lFTqu32GU2Uytf3Y3LAuq+tSj73F7xl3z6FMmGy1tG0rGEysw81q6aGR89B9wEIfy6LAR8+2 W4w+3HLhx1251+mGgETG7iv6IXLkYWpy9u4UBu6I3LC64a7dbwCQeg7Qnusl04UGR0+O/3h9 +/D4DzuAgrMCexVngfOxnLWVBh6eR//01nQNAbUKtsXtbMLdNfgEOw7HbLRrRda5zsRMYeqj s1MCTyigTN66ZAzsL00chiJYkizfZbYj4htzpmOoaGX7rRjxVLneTV2825+c1YPN2g/VXbw7 pQ3JxSuiBPuLXC9j4lPwimLEtS4aO8//LWK9oT7G877pEBs6D1fftQitH9vGTEamPqwfiZRq teQR9d1C5brrEzF6gqqsnlkSxToD7sMV37oWKxzikZK6YWaJNUHIRdCsqeowON0YkqcoPBD9 Bhs0mTJnuWSKiAA+N9cx0eANswmItDSzfnQM+0x1xZcN+YlKL+c3tk/SkdjKKKDKW+teSOWt 8eWaylmHpxpoJqPHkKjv+qjxDSfaSM/Mddz6uHZMLU4fuJwOeVUl7o9XUK+bmXawmRkUqMYJ +IJIx+AzQ9KGkunGMdJ5E+liRtRxQFYNdNTF7HhDiFr3iDCgepfk1WqDvpiw9gqSfv/l489n iFRFzjUqtwCr3/BR5N3EuCyJjnTU/yBFHlJjncaXASFbwJd0lcbrZbdlUtjX0l36N+tkzWE2 5CGNFWQVrpc/DbP4G2HWbhg7RP8Fxk9mne2wBHvWaBYUPRaBnIDDxSPVa9DWlINTvUnj1LCt mkOwahjVrhfrhqpcwCNqstS4bSBuwpWMQ+rTkqfFmuo3dbXkVI+FkYvomNidtY0vifCqyuyH gVZnQe6obzpTFFD6RNFyUs94dyme5OQr7uuXX3nV/qQDs6Mo7E3wiRA7eEJeEuV13z7cZiKi m/Y+RKhOvQgonDVRyKrVI6koNpuglpuQ+nDgwEWKz3j3yKciNOsllZRqizMhD3kkcu39UKyJ wu4yqRemPs7L/eYxiKg5XjWSEGvFKWHDfuqZEmBv9JVSWXm4oCJoIgopQiv4ZA7IqvpU+uJI jC2ydB3yTXgTR5QSOy7pJuMx6vrl+9fX+23YenfeOPaCUl0909trD8NLeIs5Ous2eMyU4gdm TF0K3jXnLivgvQFcfSsK2EU/Cce/BfgE7p0suZjx4WceF5h4bgnRYTEg9msUcJekMe6G0A03 tiIZPzbuNpHcwZu4Du0dwd6/0Fi88NCSNURg2FE563HJTahIqu1QsBtYgcURG9AVlLiIqXIX MhfX9lCmTu7s67E3wvr0k5EFesE3oH4w58Rvr1o35wFwQ403uFy/P+bDss5YRcKoFZezGpXE uhCGGNUOv6dmx1+er1/eqGbnygDcGNqXMW+trquZbQzB2Shl7dm75HpQenmwxr97Lw+P/41W a0SkGUSfLufxLduBZraw9mFuWGd86oWTEanWeaQCBk/t03QAqmEMF/WTS6QykyTBbIupAKis 5qW9I2HS5YJ4YqSJImvOKGjdOtfSNSS3sW357LgF3z2llG3XXKosQIzu6k/b1AVRkKI00RHq tMIR6ZzLxxMqnUl5gnWPPVPwzt6Prp+65GJcnkhWsJ299QrDlO/SG1DzDaahHp9f356/+uNz Hwp9xYQNm6selYArR3uFOODIq+GASunI8gbq1QRYlsl86xsfXr9+//rn28P+r2/X11+PD59+ XL+/EVbKjGEYa2joDcW0jbAH6wG9Fdpkcr5+GU8FvXTPWeF/I4Aqy7cD4ZzBWBHgBKesL92+ bKq8/VthulxI0fy2DEInL9gQh9Mee2oEAnYPs6OewQqcOD9k9iGGBrcoLlysYw3FwM5qLyn3 9Rlw+n+447utwcITyqHbFY2zy2mwmhWNKahx+mkNnydRNnkCgdwYDRx8fbYR3f4gAeqrOrBC QDOV7ge6WbkgTNVm9WUuirmc5Fnn+J8FcA/eUquj090Bz2zn3ybltim7c87sm61jjli+UhGZ HCs7D9Wgwz1wUuMYU9Tfp2ToXnvRlZql4ia9/jfWnSa0P4ZN2q3xxdodEj3aL9Z3gkl2tkM+ oqBSgNNFPP4MZFLqGsIlMxMhBsdXWRjvL53qJUXoU0ovgorKw4ViswWqeA5mdb3cNaznCxKO STh6pGCwAUnCZCLrYE3AMqKKwmSVazmLUosCvnAmgF5ERPF9Po5IXo/LYIuBhP2PShknURXE 0hevxrUiQuVqYlAoVRYIPIPHC6o4TQheYyiYaAMG9gVv4CUNr0g4PPuwlHrZ7Lfubb4kWgwD JUmUQdj57QM4IeqyI8QmzI3X8PHAPYrHZ9gvKD1CVjymmlv6FISJBxeaaToWBku/FgbOz8IQ ksh7JILYHyQ0l7Ok4mSr0Z2E+VE0mjKyA0oqdw23lEDgXvhT5I82S3IkENNQg7l1uFwa1cqX rf7jBE4WUz3zkCyDhIPHiGgbN3pJdAWbJlqITcdUrU90fPZb8Y0O7xfNmGSfp+Hc+h69JDqt RZ/JouUg6xhOxWa41TmajacHaEoahtsExGBx46j8YFNIBHATepYjJTByfuu7cVQ5By6eTRMm jvtTCtlQrSnlLh9Hd3kRzk5oQBJTKQdVk8+WvJ9PqCzTxtye8OBLYbYMgkei7ey0ArOvCBVK LyLPfsEFr/pBgijWU1KyuvfAjsnfa1pIB7hn1hobXZ4UEqMGw+w2z80xqT9s9oycjySpWDJb UN8jwYLWEzVux8vQnxgNTggfcLjAQOErGu/nBUqWhRmRqRbTM9Q0UDfpkuiMKiaGewlv2Iik 9ZIWVh3EDMMFm50gtMyN+gOPKOgWThCFaWbdCmx+z7LQpxczfC89mjOrcp95allvmZg9VRRv 9slmPjJtNpRSXJhYMTXSazxt/Yrv4S0j1g49Zdz2eNxRHtZUp9ezs9+pYMqm53FCCTn0f8OF pnsj671Rla52akGTEp82VuZd3WkmYmP3hLrRS5FN2DqI8139747Xl0qveDmX1RzXHMQsd8oq L1OrP9XrVRBay+Far4/WmQXAL60DIIuJOloYMTuY+e0HHPCk0XLIzo6l1brR6p29qXps4thu C+Y31Fd/L0uUD9/fBsN206Za7zH3w4fry/X16+frm7PVxlKhu3pon12OUORDCx/aeJB94DlA 9sFSLlSUP4aptfuq+P9TdiXNjePI+q8o5tQd8TpalKjt0AeuEkvcioBkuS4Mt62uUkzZcnh5 UzW//mUCJJUJQO5+h1rwZRIEIDCRAHIJOuNC3danu+/nrxhR7OH09fR29x3traEzZstBsZjT V2G5zdIgSobE61fIzG8MKIsla/Ni6fGKPWrQD2XmpNxdhAFOj5TwxraDaKf6Hv15+u3h9HK8 x/i9V7onF1PeDAWYbdegzjejw67dPd/dwzue7o//YAi9Ge+5N+M9Xfjz4VpBtRf+0RWKn09v 346vJ1bfajllz0PZvzyvH/z68+X8en9+Po5e1R2dNRvH82EqlMe3/5xf/q1G7+d/jy//M8oe n48PqnORs0ezlboP104Op6/f3uy36Cs/dMrIJ6sxS2/GKNRdSgLC7KgQ+LH4Mfy88Ev+L8a/ O758/TlSXxl+hVlE25YsWE4iDfgmsDSBFQeW5iMA8IRDPUgMc5rj6/k7Hiv/7ZSYiBWbEhPB zXk14g0/Ue9FMvoNZc/TA0zzJxK+MQ1bUbAUTYAc1heLoefj3b/fn7Exrxho8PX5eLz/Rn4s +JC2u5p/WQC04raUmzaISimCj6h1dJVaVzlNJGFQd3Etm2vUkHozcFKcRDLffkBNDvIDKl04 DeIH1W6T2+sdzT94kGdMMGj1ttpdpcpD3VzvCEZdsI6QW1zn6bXwJEIfRDy/vYDxHgO6wG5l teJgUS6XPrU73WdxUrXFwYLwsjhp4oA6yeRZE9lH2QoN5ZImDFRYxn0MEbIXFV1nIKh7jMaM 2IUE1L4uoLKz8MeaITORLxm7BeiH8aoXxybNyEqOpc7DQihTgCZmiUCQjAFYRDv1wky2tSBd Vk/o8CzaFalbxh5ezqcHeq+8Yd5B0IqmUhkN4LduYfqwyzdO5X5ZPS2vbvqrqC36O9Fv8LZk 1zYGwNwboGAEGkLkyrxU+2My9jJp13GxmPhEQ0+zJsFgY9aPm95IeYv3Ea2sJIZWq0Bv+2Pu 23RMVdWRp8O1Wu/arkN6XKotZHyhldxDSCqry1J7P01WqZtUlXGWJBF1UcRoY4+0pNpVB7d5 FcR/eGPM/jVndLxd5FcjCsaPv6W6eL7DLEwYjseEqjBWb4HdqMy7cDt/oJJt8OmZmhxqzGSz R8uYhPqDd1yguUv8u6qI1h6v6TxYizat10FYUVfETtkX24TFiCwzcStEzeLuK0wHvOTpCgiB eUtRgnHdTEmbkHy1kXJjbqN82x7y8oD/uflCJyGsk5LKZl1ug3XhTeb+tk1zixbGc0zk61uE zQEUsXFYugkL660Kn02v4A5+2G+uPGqsSfDpZHwFn7lx/wo/DaZKcH95DZ9beB3FoBnZA9QE y+XCbo6Yx+NJYFcPuOdNHLiIvcly5cSZxTjD7WYq3DE8Cp+63zudOXC5WExnjRNfrvYWLrPy loXQ6/FcLNn2r8N3kTf37NcCzAzYe7iOgX3hqOdGJXKrJJ/uaU6jznWsaYh/d45TA/EmyyOP +Yn1iAr94oLpPmpANzdtVYVo/UIGrWAxmLHEbcaCrGgjZm6ACEjJm6rZclBlv+PQ3s9pKrW4 aOOsMBCm3iOgr9rVklx9fxhlIi79/PT0/mP0y8PxGTZqd2/HB+KUfFjOh5wXrWXbCHvipr2h 6ZAQ2cTUdDDPkvImAAHM+cROtHlQs2RmyqFfFGFGzfIV6ORkFfYI3ihaNVZLFpdfoU0oqVjb fcqk2Fkv4rhphdBTJVpkUnWlAP2rbVLUQ8j41zo4M0PsMKQI0p4VIrOaVQdlIDCnlkWJ0CbG HjCVDcsF1pl+hOo7cRLUQWyxY9CALRK4PQiD4fcWge3qynnUKKZBhM7qLOWWg+0asYsIwwOk cBal018jbioJe58Wt3JkQLp9/CYOaFqCzgo1KUHFvKBJktT2+KuJbU/1MuSgftjms6eDaq01 IRiAOb9k0NhtwUe7cD2UW8fvCaU1Q3vShnW/R40PHWdOUUfmMKm0insWuaAL9xHt2szm72Bl 50ZUsVpZ4CFDXWTWQwXm68IorqAWSpa6sKOnOQa5SJqCKtydkTH7acMCj24vwKHyrGEBbNYm GGaETBWdgc4a8+JQ8IHSL62CrWxYnJe+gs/UA0vFgW3XBY1uqytohD2gmBkOkDKhUafrPQgH e8TqIuKjL3aNPvJsqumVUaxBCZWu3wz+JBi1muyIhh0H03wHtM5qsvBFm6YqkmFhESalsteG gVBj/D9aVwNgEqFde8PW0p6Q0/b3IPRaEtkASjSa58HmgJ0ZKaM21LTrJgFVn7510ML75TQ6 Pz6en0bR9/P9v0fpy93jEU8gLysp0dtNNx5CwkunAL6EhLUNlI4lnSbkAdwgran9IacZHrom kTklEaLhwUsogsl+SshmTJPkJM+/Rlm4+xXFUbIYu5uONObETGkCr6vbqHa/b1LUgiqeCMqb fD723c1ABwP4l48w4J9hw/bZ+YQRJIBQSPKVweWOkMtD7fC4Iwym5y8l3RRXaq0PgatWoIRR 0c6Zs1SPbqvSveE0gvMRyibjFzhC7kInQXlUrGPhrgapVBp+btdR1MJc9DlaFBacdcz+mCYk yIYqqGc0ormFYkxjxTungboGdEVvVS6oyZs7Ud1gC9ZV0I03YTZhzbyaO5lX7k/FSpSqww+i J9nc51Ks/+Wm0cT3xh/QJtdp/tRJIw2SaMRTq9VV+1zdvTz85+7lOBLPpyclO40bSC1Qxfn9 5f5om/xDlaKJmLNSB8FUDbkUTfYSY5TQqxRVbHn8QOAMQXswOLtaufn/4LNoRreKb2CahiZa JKBxz00Ufh8/c4AzUFKFAWsfQpMZMz1j7k8pI5MUiGI1mdtP6N7EIebZgqGKqN22g9iqhJBA MUdKjXQG2me0UQMziKBAFqhBZK6kWN1zvQbEgsmhF1kqC2vo5NYaoo1GQAuVDrSQu4kDlrSn SfceEFeZ3S2aHmWznOK4F83SgVHB0IG1PZ5CclUEw/6FFXV4hMHF/E1tweCaHsRinMgmMDi6 mqxja/QPCuhyraHL7kzn7MLLx9P9SBFH9d3XowpkZkfx1k+jM81a8pRHJgU6Gvwd+XJAfJ0P pNR+If6W4YOq9uQ3rNLWcHoKivgqpAIqCheBxrSNQQdvzdHofBlZvQRsxb5wE1hUOQc9zau6 vm1pNGX0pWoS7YvV3dg+nt+Ozy/ne4cDa4LJmvkiLmSiDEtgH9QRdDXPj6+WNYiootEv4ufr 2/FxVIGu++30/CvevN6f/oIJZAdThY82K9MmiFKyAiEKWiSPiNRP/bpo4wrmM7smrSKyjg0S RvlNt6JxBqbGZ+g3XavTq7RJPvcd7Iqj9Rka/cQu+jsS7F72XeovvBJRAevIL0+Y6qTBfUzA QkczBtyrCthNuMkYLE/UQZSYjbOG9NIPc5OdHHAv2FeQ/Hi7h91Il2HVqkYzo51Jy3PW9IQm +8KUwB4/1BMaiKiD+YVcB8IGw/Nni4WLMJ3SwA0X3Ai4SQlL30ngsYk63NSUO7iRoFRN7V6J YjajG6EO7jNp0AUcrxfJx0eJGfoS6ksqB9bSxKMIb9MsVUQOdwEeYbF11aX/yyIdXp6xWDFY ciNwdg4sE8oibtyPXtrQz7EPbcHCIvCoYVNYRN5sbJ51UpSfSzMKO14njvaaSm+WVA9kT4CN mrhCQ2uBj+jwSpO+PYh4RYvRp6039liM7mDh00ncAbxrPWgEHA+WPrWXAmA1m3ktvx3oUBOg bThE/pjeDgEwn9BGCbldTr0JB8Jg9v+2mWuVOSqenNOIi2jSNucmb5OVZ5SZXdLCX3D+hcG/ WDFLp8VyuWDl1YTTVyuiCGFUDlwqglk84XZ1WnBxLFJXNx4H42CFk3FdM7TfNVEMNdXiMJlx dJOBoCK/QFYcFjFn0dHcOIbCkoW3QmBKL0aLqJ5OaJgSBHwaG61IyvaLZ9V8EG3eMKgMdvzk R8tLs9Nqqy7qImuzK/ie4WprF42XngOj5n0a8yZLwcL6KFgs53R9QUznOeJv0sHRMDgtR+eI Gt3Yp3PYznIoq9FABa0qGK7zwLQHan/5+PwdtBvjc1hO54N9Y/Tt+KjSQAnLLFHmMKr1ppNh ZFIEn/m3vv+yXA0hnjenhz4MCVrm6oNF4id+EYpazvOw5gbZKeALcTFZvFiAClH37zXfqeSl qIen9EtNgTowbHbGYiek8UI3jYlJg9YNGDMJBbF1pwWYW2rNxjTGCJSn9AAGy9yAd+ZPPF72 50aZGVWC2sDrn0/8xrS0nbETWCgvqITG8twzyrxSU0Sy/IvFfDKlHxfIjZnH5chsSXsFYsNf 0MNTBFZUjugPJr4EBsFZ+PD++Piz2w/weaETJSV7dkaqfjytOhumUyZF6xjmVKIMgyKkGpNi Nunj0/3PwZL4v2hFGsfi9zrP+amR2trevZ1ffo9Pr28vpz/f0W6aGR7rmJA6aNy3u9fjbzk8 eHwY5efz8+gXqPHX0V/DG1/JG2ktqT+9LKn/3F6ZTz6EWATFHpqb0ITP4kMj/BnTv9be3Cqb OpfCrmlb69umcilbGnfqUop0XdVSZIemlcl1FwxYy77j3fe3b0SU9ujL26i5ezuOivPT6Y0P Zpr4PvM6UIDPvoHp2CMveX88PZzefto/TLyR9HZgE6OKQNbcjdzRb0lkC6Z/YXkyvCaDyfeG 4fcfj3ev7y/Hx+PT2+gdmm/NBH9s/ew+nRzb4kBlRFbu26LezcegqPAtCCUwOUsIlpDFF/JA xhQ1Pr8rtvH93T/txieYTlM6nEEOoorGDg3qWKxY9GWFsGPycOMxM/ComE48armFAJWAUJ5S JRHK8znVo9f1JKjhdwrGY7r5Qtt9jwpGuvtgIVgueN3Qc7hPIvAmVNtu6mbM0ov0i5mVFUU2 LI9IVaPjJwFqqHky5hjo8tMpvRaUkZj69KZNAdTyuX+/ckug2iUA/owaiO3EzFtOaBChqMx9 4m1T3H19Or7pzaBjPmxhq02Xue14taJzodv0FcGappsK1lMWkZQMNXImsioSCdvZKU/zNJ0x V6FO5OATV6SRIl0XVorsEFaDfUgRzdh5hEHgH59JJO4V2dP999PTtUGkqlwZgWrq6D3h0eZZ bVPJoIvY/k8cLbDLm6Y7HHcpiyrBXbOrpZusI31eSGwNfD6/gdA7WUcGqHOw6SbrHCT0ZFiK X46vKDLtMQmLmnlRsY+RGc6ABuF5M7Ns7M81xrfndT7lD4oZM1bUZaMijfGKAJsurMllNJOi TuVYU1jNcqYXvItEfkKvIfsrFNOV2ox2g3r+cXp0rnt5FqP9EFpI09NtcVjNLl+8PD4+ozrl /F2K/LAaz5nwKeoxvcCXMFOo+FJlKmFKGbICHrlzQJ2Fc6jOynVd0RtORGVVmXxJkxo86E/B zdT2RdLZr+g4Y0UyCl9OD18dJ6jIGgUrLzrQeK+ISoG5DFkdZ2eKwn2RIT9sxWeU+9qZLfLu WJoKROqsoht5epUGBTPCP0L6Zm6TY2pKiz/Ka7HwqHGKQpuIA90tHQezYs0BlY1ramJC2AiP 2XZBOwMhTsILBAwjyFGVHIsmqkIQoyEaSBcMkd3QqZHCa1gOyZvcAnhi8Kz5jNcWZJ1rinad Rcosp2z+8C6THRS6ccuCB2Z1gBknqb2UPpOQKuwNtabQHkBZXUWSGrSBZEikii7RVNzjJaUJ pqDQpsE2YeZRCILU3nOXFMys2KAYSPCaqOCUi4mVlieb25F4//NV3Qdd5mkX5ZDngO4i1y5m eKoeoUsGLDeMAxNZd8dsRWZbbyI5ryNveTiog3mWfBqJ9SFoJ8uyUKnEr5DgQfKxqLyS3eBd bUtcmy3pLWRUbfZz2uCFxzRDvL/t7towXGNd3uWrvNBAdgbnJnwHb/JP+GaTmV0fbZHU7sYe KJE45mZPLnTfSTcsnfQj2cYfL+zeS0A670+CRrfrcqc+floP3pWxIMSdBWRQk5la0PuUQsf7 GCbm8QWDvytv30e9X7TDIjb0gggvdzF2XlZ+IgvUZlfGeE6YX65ALDc27XxGauq80cIMn+XG k7CbKvdxVpDPKsy3KrJgzZzhyhgJrBzlQWZwUK8HVsC8WilRq/VLTYy/EYvDB2Z+/JqKJ8lV VElq7QqiOEl3NCKtOh3+nPIKhvtdg1lXrA+cjKoFXV6gYLvgKa+IJnIkNiM0R3a4zoZ1YyN8 GRrQtZNXOFH4yF31Sle9LOgzep6hb/pfp6/voGShf79lgYE8RCRDqS3WjYrC3tN0XaeXR2VU ZV/8xmSuQqGtUqIWpVlTKF8N+FVYeNfOY4J0LY7ikH5BcZGxsL9FZuoeCooCvLWFqVAmbVmp GJSwNOV5yG6hMxUSMwvRbSdjmcwGAmn0TRula/NtFO1Ds16o66pa58nQ337c1ufz1+/HD4av e05QA+8OgyG7zEN9B59mo1+SH7ADej39SavN+pxMv9o/MQ7IPqChHhFJBEsc1vFYttAGYbAn AW2Jm6ggY7MrcdfXsh9a/x5bewYgAZWannhJnk3rugEhXbNAlTskRzU5vz2ht77SGejBWwST Ap6v8ErGyCqYHOSkTW2gPQSSulv1MCZbP0AtuU0SSbRrWIZEoEzNyqfXa5lercU3a/Gv1+J/ UEtSKo9TnnKte+QqzXCV+RTGE16yPJdAywrVmFNtEpPdAYXlBOtBw6t2wFUekKxMK2dF5m9E SY6xoWR7fD4ZbfvkruTT1YfNYUJGPCzBLMw0nq3xHix/3lX05vvgfjXC9Es92C9dp4LP5g5Q VqjoUx7nZOGrIpO9R9pqQlWgAR5sidpOzXbwGKZtGtdu1EUgtix2ACXSdoTSnCo94hqYgaam kVoC1/z3GThAloCyXAJRGTRaLzDGU4OB4Hkayyw3By6dGO1VAA6Fi82cuD3s6FtPsuecouge u17h+pwVTd3bBtSYDPsdHMwyqI0xw5ziBs842OszNMHUs42ocqC5Yv7m2yv0a+0VZSWzlHQ6 NoFMA8bhRRqYfD3SLQB4ZFNkQmTsotn4DlURXWYxdbE+qkzZwNUNgB0bLPU80rmGjQmlQdkk VKlNC9nuPROYGE9F1JOsRyz/SgyznQq+XqBazICI6cnVPmny4FZzdOGa7r/R9CCpMKR5B5jf eg9vQOhV6yYobJK1VGi4CjEVKMbhotERkIQTRrgwK2r3hULfrzsU/wZbht/jfaxUBEtDyES1 ms/HfAGo8oz63X4BJkrfxWlrlst8GMO4Er+ngfy9lO5XpoZoKAQ8wZC9yYLlXuvC3KwY8f4P f7pw0bMKD1QEdOBfp9fzcjlb/eb9y8W4kymxiSmlIccUYIy0wpqbvqf16/H94Tz6y9VLtYCz Q0IEttxARWH7wgFifnA67RWI3W6LCoQ4NXtRJND987ihtgLbpGEB/A1NXha1VXQJOk0wxPZm twbZENIKOki1kUxN9Y8xsjBXQZ3mcwDjw6spfAuLK3VdrJqgXCdGDUHsBvRv02Op+V4lZ90Q epEIIxrRxngeynW+u4Y512ez4Qowl1preEx9zFxze6SraWzh6rDRtHS9UDFgP4g+tkxoqtjB /qSxYHsGDLhTU+wVIoe6iCQU3Xj9giGAKrXyWZ37wm7ONZZ/qUyo4ZmiOnAXqqAyw+Fd91a0 x8ftceI4uaMssLhVXbOdVWCiA+chIWVKg321a6DJjpdB+4zfuEcwFDPau8d6jBwMbBAGlA+X hgO1d7y4pQzNBEU0FS4HIlg3mMT4vAvExoVoZaZfGi++A4wcZw2sbC4vgp4NE20XNYxnuc7d FXUcKpKyc8idnKjjYMq8D15tTOcB5wM5wPkX34lWDvTwxQH66kAyVM65XxIHQ1KESRzTW5DL aDbBukhA3+pUD6xgOqyV5rYKE9Yd+N6mMAVZbQCfy4NvQ3M3ZIivxqpeIyr1StyGt23Y+bdd MmIaDIWM3ZkzzYoquXGlz1RsIEtC7khnnuN0xzeRea7Z4XUh1haYGjuGDmYaHqxZe/41m1+3 /kiVVOaomX7+UJmLgUIMNtarLrCNe/UsTaUGylS/VuWpWebiXGE+L4sbeoqlOVrPQugdatnL BdC4WRxDRTF/OsRANXbyYiAiWtOj2Y5W2Tn+X2PX1hS3joT/yhRP+7AnhxkIgYc8yLZmRgff 8AWGvLg4ZDahcoAUkF3y77dbkj1qqTVQlVQy39eWZV1brVYLu4x22RhUZo8/fT74sX162P7z 4fHp20HwVKFAc6brMMuNExlGTHa3ypuq6obSL+Bg0VAaA4K9KguWct4Dvpa5bDP6C+osqJPM r7iMq7nMr7pMl6EH6dL3y1ozaBlmiT2lonmrjJe4uiFFump0fAxQPyo3xh9kwP8ZtDr4uDAI DhK+t3bblw2NyoG/h5Vr/7QYji728saAo60cEPhiTGQ4b5KPgbRXixbVkflohMhU1mu6KjWA 12osymlYqSKPq9D4tMMWHnglBUY2GNYwuXhUX6ci917jz5Qa01nysCCDwTJ1wvwsZbF3t0Xi ywJEvB9Txfa4tKbjXqqXNziTdHjohhosDGsCIgYWGkO2XVOFKLa9MnhNBUpgiLYFfF9WBXiZ B5DcdA0NSZEJutzxlz9haQuuWM5oqeifnAjX5gwRqvQ0/3k7rq+55TfS4/p9OHa9uAjzKc64 3o+EOXW9WT1mEWXiqcVycHoSfY/rTOwx0Ry43qIecxxlorl2T415zFmEOTuKPXMWLdGzo9j3 nB3H3nP6yfse1VbYOobTyAPzRfT9QHlFLdpUKT79OQ8vePiIhyN5/8jDJzz8iYfPIvmOZGUe ycvcy8x5pU6HhsF6iuFtuqBBizKEUwmLqZTDy072TcUwTQUaFJvWdaPynEttJSSPN1Keh7CC XJEj4xNR9qqLfBubpa5vzpU7CSJBrYJk1wh+UOeCc61Mzr7f3P64e/i2s/3pNQN6pS1zsWr9 yBA/n+4eXn7Mbh6+zr7eb5+/zR5/ol8CsR2q0kbm2L3dGKj0RZS5vJT5NM5OkY0xwu74rLnP d5f161Lgfc8k++nj/c+7f7Z/vNzdb2e337e3P551rm4N/hRmzF6SjRZ/SKqG9b3o3CWr5Yu+ 7fydTVjEFuZJEmwY5lVVYzwV7/LLRorMxKJonRroS1CjMxRNKnfa0aNCdVWSYDHB3toa0sST 217ObEhuo6eiJbIQ5OpvnzGfX5U5ccTTOKzRzXfWld40af3vt7iTeIfeipcCXYWpnmzzX6G7 jdHZ8Li7619ZCPSJhDWf6/7ogJOl21TL58PXOU0cTcRyihlUbO8fn37Psu3fv759I+1ZFy8o JRgJOswist4Vrh4xtouxxdJ6gzJpvbtyKT6Uld26jEp8kU3FvR7a0dLHzY5LG4GZqCeUX5It LMppf/9oyjT+LOWatNftM8Ybi9Z0CVhEyivnqbrbvE9GUXeZhLC3cNDB+WzzKGSRQ8vz3/YW PkjR5Nc4UBlb1fHhYUSQRjL3yClsyzKoQtNr+pbsNRjKDQIzIvBHeGruRDUJA9YrPXIHjGq6 3nXstZv7Jjy+Kt3px4J671VBz5VNow+c/EXCStqWano2+gzxNaG/F3crlyRW6l5SP67HJSxR b8xzSNG6cyP3E+8NsI5ek2nOEKpEnDHJYcXatKbq1a+DVSdugjke0/SX/aS1cek2+4k4IM3w AOmvn2aCWt88fHOPWcCSrccowh2Urbszho7VURJnS7xDonDFvCCfcRkcsnu562E7SbzC463U fBk/NZPbYY2ezZ1oSU8znWKi9JiD5pn54pDJ9iQW/zIq4mfl6mJ3C6kz+qIk7t5UdRuB/YQM OeZ2yqsJgebbTjRI3Z805g1WRs6MBhLdebmZHV95LmVNZpgxQJlJzpz4wbPN0+w3+9ezDZ33 /O/Z/a+X7esW/rN9uf3w4YMTydu8oulA5+nkRgZDBl7+QE2bdszgxa+uDANDc3VVC9cX1ghg Wv6F6XUDvT80XGgbmqwpoD+ZS5RIGlh0FeqMbS5DbnSrErWaZszWexV0N1CxpRdAjSrHnibk WdvtjGCmtwg8YGhn0QZPwV9zX0rAUF8LOwQrFnZ3BAwyDuhB1aWNzGBdpMTOEwImdVad0vUF pF+FqAQ0spaoVLvaJV6I0Ro6UCD5QkbR9zHoGFZSN9ZABBsjHpijM9xeMbsAOdov/J4E359a Cu2gdAMN7xXj0sRJGNphnk/j1GJOEqPNEyF5EZjebFe+sMp746nttnnqLgJKNe4Luq4/kIU1 jM25mdk7OZ6lcZapnE5BFHNM5A3Noy7ekqiW0Bj3vdLJkezwuMUbUtEtgaVQeZuLhCJGgffG Ok0U6C3dyIuetGxNqWqqOu+ZIo08ssQBN5pLZh2ZQ62U6TUNCj8qN6NO1igYmtA3D+qvvjYz Uzg7vCWmmd3IyOx+VLVplUTtgbFk2Zcm//vZVSPq9btklrU3khj91BoW/H1ShhyuVLeGOlj5 Oq6lC7240W3OvXhHi6A7lO6WKKnHwCARGHtdxxUTZNymZpL25qDGXBJF822y4kVkbfSlVJ47 jQ6wouXJrIu9FXt1C1+bhiXrJKWb9pW3yRSkN5778xOygmGL8Gsi2hDeaAMwQ4Oaugxwo3MF idn2aeqpDYq6LWFts67COhiJaRFEyyNpRAnFCPOj3vEtvUDfIy7KEs/no5uAfkC2/Cm+URya EifoqiLBJ46HykI34nMdFdkPHdmzaFIvg9g8jqA7RES61tu9aqpZ+71hPUX62liLgQlkJDoB s6k/EOx6wjjNBq0AAzx7nzFBnhVg18WHBIbZdSEaviu+RfOZNa+UZV/gclt7JISdylTFGKbS 6HK/HrSdtNs+vxBtLj/P3DN1ugBQlYRFntstTRtpXR98p1HsBngoel9jS9Br2g9DjFrgpb6/ UPolaG1FFDTK/MkxU7kC7+0bGqGyE7+w8GPWcpP1Re2hOHWVaFPN6ckks/IHtnNjuGhUm6aX HpiojpyIMjopbk578X9RRVaZHKp1quZHZ8cYJNhTIJNe5ejqkbbuyXqUE8zFN7qizgun5SEy zcUeDv3WQ5xjbiQBz/ReyIIpVH1AJtWXF0CyO3c2vPebHZMci80qczSl8Nd4rj31/Zw06S3U dph2oCJ39Dmc3lowVf754HK+nB8eHhAxnMnMtgS049pL45xkMUv2GKaRhULxboBEFCdWVfbo dtgJ3I6v1yrd2REmBaxP0DKlu5n6ood6Z0hOiHXLiIpcrcqCDNKONqeP0qrWTNbEPc/obkbC 6ZhVjMFLv+yKVJenu1IxFlOzd8OjQ5asIg+gQzV9Td1hj/Uin+4IJ5mlwqjfA0WtUaPKBB7Z YGzhVxsfwYgJRZX1OUbKKQO63Pi23qqHmve2A6y9Jk+Wee/uy41hvEn/HcOJe3FfNEqt07rr 7KabQGPCaHvYZ4fuupbD4eb0cNesfA5awJznbL9f8KxWXI4CTr/M0WccQvI+kZOEed9+mYiz 8+6ohJPFz56R3uwmoonQ9USpg4M96MBdYE/TxmCiu9orRKlibhtEoZiZCJuoXW+RQCL6xiSc wegGZru9/fWEkXeCjUo9ru6ehxkKZmTUUoDAQcx1yQ/EuwZP+GUeao9pBfjkBZcVstXBQ3T3 DwVCZMklE1xU6DPDZunGbploai60x+Hdy61zfa8JKD2FwiDlWfP55OPHo5MgIagXGGg3zCss s7Mev0fGNwQHksE56lACZxZyx54vIS5TfycrkNGL60Ze4C1VNlOHUeG6ylV6DfMO3h2lTFT0 PWlz4uOHn4VPFeRgPsVhZQIttGe/VvPQDkBtpdvIowT0keq6ihI6W3gQsO5sv8TbvvcK9xn0 PTy7Oj9cHMckQbfsnDOyeH0xmz1RQ5Moqn3UOxrOJEp9GCf+WtALuYNTsROkfQEFGgg5EhTj Ai9kGxU1RsQZKxoy9jmpYAk6BMkb6KaFFC1aKOu0GVS2gXJ2Wey0TW9OAu4G+ALn5QIDOXHj O9K4qWMl/CdbtXrr6XGGmJI4uLu/+eNh5zTtCmEtDO1aX8xLXuQLLD6e8PMVI/txzgfiCWSv ak80Ivj54Pn7zZx8gInJZLourRN0P2EJaHqwUHL3FHRdRFsB1m91zhPYS4bNx8MzCiNiBvOD P7cvt3/+2P5+/vMVQaiDD1+3TwdchnRL1ptmiizNC/JjQGfeYdn2vRtWBAntc2oHGO3y21Ke ySzC8cxu/3tPMjvWBTPNTJUbymB+2HYQiJqR6H2y4wDyPulMpHuUqGl6P3je/oN3/k5fvMHB DC2JrqeuXmt7FxZrDDfp62sf3bhjpYHqCx8xS3c05pCLGvGG9VFVSp9+/3x5nN0+Pm1nj0+z 79t/froRp+117CJfkZuNCLwIceKw4oChaJKfp6pek9uyPCZ8yHNR34GhaENssBPGCoZ+SGPW ozkRsdw3rQiwQpRixchaPEydHuGn0qN25C/crdRqOV+cFn0eEGWf82D4+lr/G8Coa170spcB o/8Ja76I4KLv1qA9BzhdEY7CaGY1VqXwY0EdsBwuFca2LX69fMd4qPqW7Zl8uMW2jpGe/nf3 8n0mnp8fb+80ld283ARtPk2L8EUMlq4F/FkcwqxwTW+PtwKtvFBB/xskPARj8hTeL9Eh1O8f v7phBsZXJGEhpV1YDinTEKQbtsRiuXsceqps5iUbJkGYsq6a3QVY65vn77FsFyJMcs2BG+7l l8UuJn529237/BK+oUmPFkzZaNiPX+qSPAqFkHN9BshufpipZZyJPbpix6poWxkJveJ1Pf3H rpRxWJhOoaB56Zubw9JpigzGBhZ2zzDsYFDPOPhoEUpbbS8Eh7Zt5RFHQepxElS4ODkfirBt mxQjaYVDzaqZn4Ww1h35uhx0PQ+lmpqXmUfvfn6nV2WOs17YgwCL1S9STtIeWfaJYpJr0jAh 0C+uloppeiMRnI3z+UgOU1HIPFfh7DYSbz2I3wifKC4375dcxEXRo5z/EuTCnqHR/W9vu7D9 aHTfYxlT0YAdDTKTsWeW/AR7vhZfGAWqFXkruD5n8Oj32PkpSsQebKVkMiGbmpjEKQ6dVUYr a5TZU4qOSDSZToaNr7uq2NZu8VgTGenYmwg9HF25+zeeDPmo6RgFBlYnd6BMLWNpV+DezOxG DrDY6XE4FJG4AztsvbtQ8ubh6+P9rPx1//f2abyZhcuJKFuMGMjpyVmT6Guuep5hZ3LDcHOe ZjitBYkA/Et1nWzQFFXVYaHrzThuRTISfBYmto2p7ZMEVx4Tya5v9ORAXVNHJtS2dBBakXkX /AYcO324PExrLG+ijseeTsl97QQfsvDLRsr8ZOkLEQ4JFh+y9enZx9eUaStWID3akHvRPfZk ESfHtC9D1Yykvo+H9GN0GvZQ7elRrDqZem2MGgXN1glH1n2SW5m2T6iYtpqkskF3OTxCNWgH Tzem03nafpqOfPGs2WmX7r6CMQHV0gRa0CF+MH3n2ooUL8/5j14qPc/+gxGc7749mMsH9Akw 4tpgN/TQXojvObiFh5//xCdAbPix/f3h5/Z+MneY4BNxW1jIt58P/KeNGcopmuD5QGI8ZHI2 7WToDb9z1/Q1ImFoeZdZ+m5nFh+aqu9oaKiR1Z4i7nMIwtiR6j1khW78xLiMNL3tXD9gDDtL 5gVFqxgU/TsamYuNcQRBez5N8XLpv2N0JMtU013j2Rxj42yqjjhp6tS90HqkLJLrWrg7rvZQ jPrinV8j5a8fpsqu/u4i84um9+3lCNs7WOC9wVZ9okrRXO98S+zlHX8/3Tz9nj09/nq5e3CX rMZU5prQEtU1EndtiJ18526x47nQM/qj3SNBYzG3XVOm9fWwbKrCM/C4IrksI2wpMUSdcr2o RgqjN6P7iXGfCfk6VbgR7vphjFQUdvpZV9S2xJ2BDYsCY5ikRb1J18bDnxyum3wmlqir6zhM da7o3JvC/KI6MoWk8xMqEa7AIXtdP9Cn6NIe1/ThbrLFYRSWyfWpW7uEOWatwFZENFfeLokn ARXAhtJKndPeuUpCC0ZKcmS22XQZmt43Vg3b6MqsKthPBh1yiq5GURMfi+IY7ApVGaqiajRQ XEFjZVJGlEsZdFRWGjRXHmdT2XxB2P9tTX8U09cb1KGsEq6+b0Hh7p/vsG7du4YGS+DhizDd JP0rwHxPmfGDhtUXVbNEAsSCZfIv7jahQ7jRxYh8FcGdzx97u/apF+Q0XCPxIFWVV2T55KLo AHEaoeCFeyi3hyfuyepEt/ayDf1M0IW6ldgdOGw4p+6IE54ULLx0z5AnNAYtcaR0Fbm2ShWM 7noaaATxLMdYMcS1y0DoVUTjvmsXMhL6R0ctZjadYULHGNF42FV7HxNmaOi1ARfufJNXCf3F DAtlToP4TGP15BWq+8pSx33Bb3b6ZtMPfmCi/MvQuac10InYNUCia8mugEFnqCt3M6KoFY2y FxYH8MvMPYuiMvRxVi1xJepTDFnZUTVzWaF5IvCKr4hvtRY6fT0NELetaujk1Y02pKFPr24M Dg3hhS45k6CAoikZHIP0DcevzMsOgy8pmVwBOl+8utfLanh++Don00qLh8dydoqa2kCLzVKo kmkeeH8KXX9PFCqxw+in939bUsfZa1MDAA== --pWyiEgJYm5f9v55/--