From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.3 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id B8A79C433E7 for ; Thu, 15 Oct 2020 18:34:39 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 3A9D92073A for ; Thu, 15 Oct 2020 18:34:39 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S2388339AbgJOSei (ORCPT ); Thu, 15 Oct 2020 14:34:38 -0400 Received: from mga06.intel.com ([134.134.136.31]:7847 "EHLO mga06.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1731154AbgJOSei (ORCPT ); Thu, 15 Oct 2020 14:34:38 -0400 IronPort-SDR: yFdnj+BxQ7KrXq6SdD6+fySoQB4YRCZtQ5DIPDWxjyeGBbUwa4PIdfSRS9zN/1Sk6dKcGdn6is mi95AbkydbCw== X-IronPort-AV: E=McAfee;i="6000,8403,9775"; a="228070300" X-IronPort-AV: E=Sophos;i="5.77,380,1596524400"; d="gz'50?scan'50,208,50";a="228070300" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga006.fm.intel.com ([10.253.24.20]) by orsmga104.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 15 Oct 2020 11:34:32 -0700 IronPort-SDR: ULskD57lFYBsEULbTE7WTGy9lpBuO5Q4mYCbImzka9BtO9ZNqacTUsz6tEAtwFgeRYgwiNFn1N pEZvz9J8+M1Q== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.77,380,1596524400"; d="gz'50?scan'50,208,50";a="520870260" Received: from lkp-server01.sh.intel.com (HELO 5003fa193bf3) ([10.239.97.150]) by fmsmga006.fm.intel.com with ESMTP; 15 Oct 2020 11:34:30 -0700 Received: from kbuild by 5003fa193bf3 with local (Exim 4.92) (envelope-from ) id 1kT858-00004E-0I; Thu, 15 Oct 2020 18:34:30 +0000 Date: Fri, 16 Oct 2020 02:34:14 +0800 From: kernel test robot To: Stafford Horne Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org Subject: drivers/atm/horizon.c:365:9: sparse: sparse: incorrect type in argument 1 (different base types) Message-ID: <202010160205.2QruLhzr-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="FL5UXtIhxfXey3p5" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --FL5UXtIhxfXey3p5 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git master head: 3e4fb4346c781068610d03c12b16c0cfb0fd24a3 commit: c1d55d50139bea6bfe964458272a93dd899efb83 asm-generic/io.h: Fix sparse warnings on big-endian architectures date: 2 months ago config: xtensa-randconfig-s031-20201015 (attached as .config) compiler: xtensa-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.3-rc1-dirty # https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=c1d55d50139bea6bfe964458272a93dd899efb83 git remote add linus https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git git fetch --no-tags linus master git checkout c1d55d50139bea6bfe964458272a93dd899efb83 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=xtensa If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot "sparse warnings: (new ones prefixed by >>)" drivers/atm/horizon.c:1135:22: sparse: sparse: incorrect type in assignment (different address spaces) @@ expected void *[usertype] tx_addr @@ got void [noderef] __user *iov_base @@ drivers/atm/horizon.c:1135:22: sparse: expected void *[usertype] tx_addr drivers/atm/horizon.c:1135:22: sparse: got void [noderef] __user *iov_base drivers/atm/horizon.c:1173:49: sparse: sparse: incorrect type in argument 3 (different base types) @@ expected unsigned int [usertype] data @@ got restricted __be32 [usertype] @@ drivers/atm/horizon.c:1173:49: sparse: expected unsigned int [usertype] data drivers/atm/horizon.c:1173:49: sparse: got restricted __be32 [usertype] drivers/atm/horizon.c:1177:48: sparse: sparse: incorrect type in argument 3 (different base types) @@ expected unsigned int [usertype] data @@ got restricted __be32 [usertype] @@ drivers/atm/horizon.c:1177:48: sparse: expected unsigned int [usertype] data drivers/atm/horizon.c:1177:48: sparse: got restricted __be32 [usertype] drivers/atm/horizon.c:369:10: sparse: sparse: cast to restricted __le16 drivers/atm/horizon.c:369:10: sparse: sparse: cast to restricted __le16 drivers/atm/horizon.c:369:10: sparse: sparse: cast to restricted __le16 drivers/atm/horizon.c:369:10: sparse: sparse: cast to restricted __le16 drivers/atm/horizon.c:369:10: sparse: sparse: cast to restricted __le16 drivers/atm/horizon.c:369:10: sparse: sparse: cast to restricted __le16 drivers/atm/horizon.c:369:10: sparse: sparse: cast to restricted __le16 drivers/atm/horizon.c:369:10: sparse: sparse: cast to restricted __le16 drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 >> drivers/atm/horizon.c:365:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned short [usertype] value @@ got restricted __le16 [usertype] @@ >> drivers/atm/horizon.c:365:9: sparse: expected unsigned short [usertype] value drivers/atm/horizon.c:365:9: sparse: got restricted __le16 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 >> drivers/atm/horizon.c:365:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned short [usertype] value @@ got restricted __le16 [usertype] @@ >> drivers/atm/horizon.c:365:9: sparse: expected unsigned short [usertype] value drivers/atm/horizon.c:365:9: sparse: got restricted __le16 [usertype] >> drivers/atm/horizon.c:365:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned short [usertype] value @@ got restricted __le16 [usertype] @@ >> drivers/atm/horizon.c:365:9: sparse: expected unsigned short [usertype] value drivers/atm/horizon.c:365:9: sparse: got restricted __le16 [usertype] >> drivers/atm/horizon.c:365:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned short [usertype] value @@ got restricted __le16 [usertype] @@ >> drivers/atm/horizon.c:365:9: sparse: expected unsigned short [usertype] value drivers/atm/horizon.c:365:9: sparse: got restricted __le16 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 >> drivers/atm/horizon.c:365:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned short [usertype] value @@ got restricted __le16 [usertype] @@ >> drivers/atm/horizon.c:365:9: sparse: expected unsigned short [usertype] value drivers/atm/horizon.c:365:9: sparse: got restricted __le16 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 >> drivers/atm/horizon.c:365:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned short [usertype] value @@ got restricted __le16 [usertype] @@ >> drivers/atm/horizon.c:365:9: sparse: expected unsigned short [usertype] value drivers/atm/horizon.c:365:9: sparse: got restricted __le16 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:361:10: sparse: sparse: cast to restricted __le32 drivers/atm/horizon.c:357:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned int [usertype] value @@ got restricted __le32 [usertype] @@ drivers/atm/horizon.c:357:9: sparse: expected unsigned int [usertype] value drivers/atm/horizon.c:357:9: sparse: got restricted __le32 [usertype] >> drivers/atm/horizon.c:365:9: sparse: sparse: incorrect type in argument 1 (different base types) @@ expected unsigned short [usertype] value @@ got restricted __le16 [usertype] @@ >> drivers/atm/horizon.c:365:9: sparse: expected unsigned short [usertype] value drivers/atm/horizon.c:365:9: sparse: got restricted __le16 [usertype] drivers/atm/horizon.c:361:10: sparse: sparse: too many warnings vim +365 drivers/atm/horizon.c ^1da177e4c3f415 Linus Torvalds 2005-04-16 363 ^1da177e4c3f415 Linus Torvalds 2005-04-16 364 static inline void wr_regw (const hrz_dev * dev, unsigned char reg, u16 data) { ^1da177e4c3f415 Linus Torvalds 2005-04-16 @365 outw (cpu_to_le16 (data), dev->iobase + reg); ^1da177e4c3f415 Linus Torvalds 2005-04-16 366 } ^1da177e4c3f415 Linus Torvalds 2005-04-16 367 :::::: The code at line 365 was first introduced by commit :::::: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 Linux-2.6.12-rc2 :::::: TO: Linus Torvalds :::::: CC: Linus Torvalds --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --FL5UXtIhxfXey3p5 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICDxgiF8AAy5jb25maWcAlDxLd9u20vv+Ch130y7a60fiJuc7XoAgKKEiCQYAJdkbHMdW Up3rWDmy3Db//s6ALwAElXxdpObMYPCaNwD9/NPPM/J63H+5P+4e7p+evs0+b5+3h/vj9nH2 afe0/b9ZKmal0DOWcv07EOe759d///Pvcfv8cj97+/u7389ny+3hefs0o/vnT7vPr9B2t3/+ 6eefqCgzPjeUmhWTiovSaLbRN2dN29+ekNFvnx8eZr/MKf119v73q9/Pz5xWXBlA3HzrQPOB 083786vz8w6Rpz388urNuf2v55OTct6jzx32C6IMUYWZCy2GThwEL3NeMgclSqVlTbWQaoBy +cGshVwOkKTmeap5wYwmSc6MElIDFlbk59ncLu7T7GV7fP06rFEixZKVBpZIFZXDu+TasHJl iIRZ8oLrm6tL4NIPqKg4dKCZ0rPdy+x5f0TG/bIISvJu5mdnMbAhtTt5O3KjSK4d+pRlpM61 HUwEvBBKl6RgN2e/PO+ft7/2BGpNnKmoW7XiFR0B8P9U5wDvp1UJxTem+FCzmkWmtSaaLozF OnsjhVKmYIWQt4ZoTejCZVkrlvMkwozUINbd5sBWzl5eP758ezluvwybM2clk5zanVYLsXYk 0sHw8k9GNS51FE0XvPKFJhUF4aUPU7yIEZkFZ5JIurgdMy8UR8pJxNBPvxruuFKW1PNMuUvz 82z7/DjbfwrWI+RPQZCWbMVKrboF1Lsv28NLbA01p0sQbwbrp4ehlsIs7lCMC+ENEIAV9CFS TiN71rTiac4CTsPngs8XRjJlUA2ttvaTGo3RETzJWFFpYFYyf0ECgpXI61ITeRsZXUszjKVr RAW0GYEbgbGrR6v6P/r+5b+zIwxxdg/DfTneH19m9w8P+9fn4+75c7Ce0MAQavnycu4LjrU/ HrKfRaJS6F1QBhoDFDHToYlaKk20Y+cQBNKSk1vbyGVoUZuQ1bBqikfF6wfma9dF0nqmIiIF C2gAN15pDwgfhm1AnJy1Vx6FZRSAcP62aSvtEZTfBaxWng+i7GBKxsCmsjlNcq60j8tIKWpr 1EdAkzOS3Vxcu5hEiJCDBTX7cvN2cHu2Y0ETlJFw7FoSalcONISkpkhc9fAXu5eoZfOHI2PL ftEFdYWBLxfAFZQu6pHQx2RgRXmmby7Ph43jpV6C48lYQHNxFZodRRewntb4dIqjHv7aPr4+ bQ+zT9v74+th+2LB7Ywi2N5rzKWoK+UOH1wInUeGnuTLltxxOva7GdEAzQiXJoqhmTIJKdM1 T/XC2UY9Qd5AK56qEVCmBXGH3YIzEOU7JqNq2JKkbMVp3Ly1FCAyk7rcjYnJ7HQn4FViphsC BVWB+HlrXmtlypi8YHxQOpMHNy49AKyN910y3XwPA1owuqwEyBf6AwjdYiFFI1MYC3U73LeH 8AR2LWVgWyjRLI20llb5vrmSAots4yXpbKf9JgVwU6KWlDmxlEzN/I57/QIoAdBlrL/U5Hd2 +wfA5s77zO9EwCy/exOTaiHQMbWqPSwaNQJcU8HvmMmEtNstZEFKGlu9kFrBH16c18R3XZdV NnyEhrmAiJLjLntbMGe6QBeDrMDKRgWv2acIRaeVC1A8GzEEcWYTIUQdORolNzj2vShRMN06 3lkNmY5jEfATZNWZdyVyZ00Un5ckzxxhsaNyATbQcgFqAabKHRDhIqZCwtTSiw5IuuIw9Hap HOUBfgmRktvVb2FLJLkt1BhiiDuDHmqXBTVC85W32rDvJ7YH99zmE96ci4SlqWsSF2TFrDSa PvDsdguBwMWsCuhBOA67ohfnbzpX0aaq1fbwaX/4cv/8sJ2xv7fPEHUQ8BYU4w6IDocgw++r n4y1b6M+o1HOD/bYdbgqmu6acJG5mSame0RDrugIpcpJ4ulKXidx/chFLP/B9rDxcs66hM7n Blj0KRi5GAkaJIoYk0WdZZCHVgTY2JUgYGg9E6BZYVKiCWbiPONAwP2QH8KIjEO+HfMaNmCx NtyL5P1cuiPeaFYqxzh2ccNizSApcGwN5AsXTg0B4gmw8kbVVSW8WBFyyWUTMo1wDRjC7Swn czXGF0XtqogikN8vSCrWRmSZYvrm/N/rbVOwaMSzOuwfti8v+8Ps+O1rExM7IY03Q7MikhMQ lExl7kIG2JReXl3GRSJCeUV/hJLW4EhjghDQNWWBTy+fzkasarB3YPTA66LmRzvNCMhcazHa ZjFT61KpisO/ks1BXD3VsYEDSXhMyHscsjiHJDW/jY4noAOBTVhU409tYrBSwIonEuIKQ4P0 EDrjJLc1J2HdViMfT/dHNCOz/Vcsso2FogLDi67acKUiUtGjN/oShO7UZjukWTWPLX1PUUrU AXVzPi4xDBO0KUo8ZixSLLRhMDLhGkBd/CIVpLQm1YkTSQ2GhEhleWn4ixTRHrsQTfEi5Wrp 0rhe4sv2y/7wbfZ0/23/ehyWeslkyXKwGJA8kTSFsBKm/u8jrOeVU3jsdIHZeiFEf031M6Kp LYViOGAdi7C6Wht4aLRHEg3H+blf6Gy5LSHTRLtjVpdeRQVsH7SOKZCAFTQF2Zg7UTIhIXW7 ubhwpDkUuUYQ9/9AQgXu7P7z9gt4s7FAVk4lqyoaj+lBIA7BgDLtUYN3Bayt8qUi5g4AS3PH B64/QCi3BuVkGXgWjs7TVfNuHlMj9uqy94eHv3bH7QNq62+P26/QODo7G4iIxmk5we6fdVEZ cJrMK2hiJQV0YclucZfzbKJea3lila/xKwshnElaJCR9aBE0n9eidsybbYRlayQAvwLmlRI/ mbQk4Am4Rt9jdMB5sYa4gpEmUwpwtqk3M5fnGi09JmqN4nX1Zp+FdaKwWtrKuhPSNNV2H23r b4EDdtu66+o2U1qKaPxghxAvinWOWqR1zpS1NbBBNoB1hHXeFPJziMwgYL70+LINLKleYCkl mDQV1W2LMdoNtGku0NzB4NdEpuMIr9kmHKw7W4xQ3NhQjczWnIrVbx/vX7aPs/82FuzrYf9p 9+RVDpGoNWFeMHWqbRhxfUdLnMJGgakPc6Zo8wOF8fLNhb/6mAUZm2bq0cZ4FZqGurFbaISj Jr6lqstTFK2wqlMclKT9YUk0dRlGHxml6izsyYZ+LuXAIVq8mOAKqMvLNydH3lK9vf4Bqqt3 P8Lr7UWsIOHQgDYvbs5e/rq/OBvxQOlGZ3mqH8we1qaA6AX0cygXGV5gZB1vWpegtikEgUUi 8jiJlrzo6JaYp07OQjXl4ByMr1vqS9p6oxNAKKo4GIoPNXNrsl1okah5FAjhUKxUpNlccn3r JcwtEt1yXII7CrAxQuuJ5MkWLtsIy5po6fe/TnTYa1vE4wICPFbSeNTmEVKh4vXCtgdTfDgx A8ylwyMod6Fh00RF4nUfJGgOag0MVd7aE5WRZazuD8cdGqeZhpDcjVIgmOLaKncbjjjujQpZ DhRercVHQUZUkDIWI4eEjCmxmezCcKpOdUPSLCa5IZmNhsApnmIluaJ8E11SwjcDYZRCqCxO 0XEo+JxMrByEr/w77AtCT7IvVCpUnD2ebWFIbyOVOHNewvxUnZzqAXIuGKYym3fX8X5qYALO m8U76zx2WnitHfAo5lXziVXpOszBhm3ig1F1ebLtkoBTjY2EZTwGxqP563cxjGNInGF0EXag ZK6VKSBGp9y3PABbceAjRuD2dMMB2myiOaQXw4mOo8jQioumjp9CwOXf3HCQy9vEtYAdOMk+ eGKUfTCdbbME8fNxbyi98Kvywqk8lK11UhWkgBiOuH7ERtAYdNrrDKklQoowtndI5LojsMvB /t0+vB7vPz5t7XWdmS0yHp2FSXiZFRqjWmff8wzMgbNALZGikle+O2gQ4JDjlSFkk0JqEF2f qbHZgRdNcl2cSCEz8D9NkdsBQHaQMpsJF+79kvbqB0fNDaS5yiGarrSNn2kFedMbL94OLm3Y IqZkGG74KQKfy4Bzk4qZoN6MMm20MImboWFGXgrNM+6fbSxVLCfv832YIhosW2a4eXP+vj8N tofKFeS8eAdg6Z0D0JyRJv2LZfuQImn/Zg4NThLBVEwd3/W4THntQUgZUTd/DFzusI8Ih7tK CC83vkvq2Jna3VUm8tQjVOMie6fEaVd8xsR56W1bJiGGbGssXr2ZSVw6e8khKtlzUP4EQopF QeQyKt7TEjzsklvRWyaQLGKVBlOOTn/L7fGf/eG/kGZFSigwGZdD8w0uh8w9A7Pxv0CNPYGw MGwUD43zWEixyaSjd/iFZQPMpQIoyeciAIXndxaIIa7MSDQRsgTgkSFwyTm9Ddg1isdGHG1V RWkImaZYkkXACpKJAMIrtAEDEA+Ql8yLw1tQN4746UoRlUtv/3nVHG9SojwTC/C+FAYuR/vl 8IGoKiuPGXybdEGrgBeCbfUzOtCWQBIZ006cKq94sB68mmOgw4p6EyKMrsvSL3b1Lab6L+wk Jw5xIZSGzIuz2J42nFea+6OoU2cYDjwTdTguAA2Djqs97hkIzsRu+hLUQRzV8Pkw9Oeaxpaa N7Pxpc8CrVyGE7KY8WJb8LRq0wp91LyXr9jZWkdD68S95tS5oA5/c/bw+nH3cOZzL9K3kPVH 5XV17Qvm6rqVbrymlU00aS8SoFablKT+/K89hW4go/24PrUh19/bkevxluCoCl5dh91MbtP1 GIo8PLm1EMX1aIkAZq5lbKMsuoR0g9oISN9WLOAXEQ8Ez6NXXiyqURFvpmihqry9uqzCEdcJ VkfUqI8TOt00ZPNrk6+bEU6NxhKBu6VjwanyU61h0YPKdFFp3zBagGUWTwotGvseXaZ2DQje 84Zh0jAkcExMpSu8c64Uz249e2TbVotbW9cF31VUwbVMoMl4ridOQ5PqBBJsWkrjQo23yrR/ owm+TZpAFp/8Scv4XBua1gQ0FrlZHVD4/18DrGBGb1xN0Le1f5/xD4/gVM/ObaiYd9He7XT8 gpwCTKtxC3YOGNyOO06LsfWn2C0ci/XjNkhtvA+QGtfxdhC82cxpEWBy4qa3CCkqQXxIIi+v 372JwUAqGmHyjhcudUyAlHaroJKncxZ+Gz4vQMxKIUKRbvErGK5pepyoUTZ0hXT6skco1r25 tzmmAGCv5ubd+eXFhziKyPdXVxdxXCJpMbq5GxKcaAr+rGJlGuhyTzNXaz4VbHU0zZSizVka vffgkhTuNTUXsVR3U2wFZbmInUK6RB/oxErDhr6/Or+KI9Wf5OLi/G0cCRkaz90KjBWObuf6 oQ5QM1/JeCzr0BSraDybMuqF4M13G4c4Bbmceh/eyTnRJI8Z+82lM8OcVI6VqBai6bZncp2L dUXi1U7OGMNZvI0fwOCARyWobj7U6TUtFV5xFfi2x1FRUHtiq9ueYvbQ7s9VTC0dqpxMtE9J TIocgpLGRmOKNg+KcAwrDCEuirEXQCfGiGWBuOURoLkrUFDtvxdaKXzboieykJyXy8CaF1Ue XENGCOi+dw/XwlD64oNpbi87Me5CSZ9pM9KUrXxwfmUKgleeTIPqO/wgdTxisF3R8GFGi2yP dWw4I/1bpTGaJtyJyadVtg1Wwm6Nf+M1+ZAHFZDZcfvSvnHxRlkt9ZzFqtrWqkgBSYgoeVfd aUszI54Bwi23OJdkSCFJOjVhEhtE4oow3s1kqfQgMkPP4sllBzRaxx4QIZuSVUETBIHOmFMh YkuFNyJEhHAgo4Xn1bVZ8DQAKO/TvzhtAdEgCk/6VBZedEp0/JnZgI7dinHxGSO6tkWIoDBp pSV5et0e9/vjX7PH7d+7h+3s8bD72zsdwBlRnmiVchGMDOA1kVEbZpGrhXduAROUq3wEMBHO 4JZVGr2U3SCxW1doJ6fRR3AZaJOs/HO9Fjad2wwU9oWiyYWKHiJ2ZIGJlZuln0gD4ZJGb5Lx xMjayxrXXLKcKRcCsmH8wwcLap8RdcqWzdElugFbbgE2PSsg/3VH1FGj9YOoBsviayJLMLKx ifbUlEnd30U2onTr9T0RHvDDJOwVfSzQsXmaRPvGI5r2ZqAlste9TnUPs5ZkoE25dF6EOP3D B8vzOicS1DS4h+6R4aWljc0XJh4ADcvU5F1VXB8dupHSjtZQpmR877lHrxtL0Lk/QoNd7SD2 FpikEYSkeACitPTSewfbn5X8CNXN2Zfd88vxsH0yfx3PRoSQmHthQI8Izd2Y4pSBc/mr7pgi HgL4/KBBWUcmVIrwbXqPguAvEYqND5iHQeRFxJCGVEqTEzwW+vsc8PXhNAeeKDXmMaarfogK AqsfIyN68UOEi3URecUW3dEFlq3p99fDklJ1alktSWzGIaFOcxUaam/r8B6WvdRrH2OdD/YY YK55RpJG1Ozlxpt3vdnPljz3iokNBLxIVce8ZYueV+55PsZo76vwezj29yK999PvBinhzvE1 fo1X0UKBDziBCQ5go518ibJqYbzrWB0EM3qIzcY9dHi09W66FYtOM8eawQfkC3MOqaQ3aQCX NB6DI27h49po+f4wy3bbJ3w79OXL6/Puwf7exuwXaPFrGzk4kQ/y8X5VAAFV+fbqKhyJBRp+ GX1y3+IvTRi0/OB4+tRYEdBV5ksEzxxAV+f1alMtDKugsTRYQUiBB94DF8hOrNsMkjKQDUze nFQdzXF7Jt2FMYTnYuUXx5heaCDqkr/RrqRNwJaGcWfzXs0NIMMPe9HAuyqwELrKa4u0BD45 cZP7FtBGdu6AEWMYlbHNtK1UVYT0COscZVQmeyJ7wUzB3E5wb+/kQ2zQkEZ7O/2w1E6iKkZN TVrFb6M0DXQsOLWoZO2tHf5ExggQ/W0OxGEcuFTBWCYtFuIkszcWDCvt9XH/t1aQQOk68SH4 SHIE9H6HAQFcrIJmkocDq0g8J3fEKy5zdBKjFjb3aG5Ugm162D8fD/snfFo/yriQPtPw78X5 eTg0/MmY7oXQ1FZt8DHgpust3b7sPj+v7w9b2zHdwx/q9evX/eHodQmi4W8xAmx/Yyg+X4pD uwaB0LVIFqs0WuEBb+BdiDs16uYO1P4jLNvuCdHbcFbDPZNpqqZYcv+4xWelFj3sCf7GycDL nQklKQONG+Y6rUweKYtf8/p+//0NwbjQ9ALFnh+/7nfP/p6C+qTBsxQX2j5fz0aayUCXxjUF ZyR9b33/L//sjg9/fVeu1botxHV3bB2m0ywGDpTI1B9tQXmsyI+EjW9oh/jbw/3hcfbxsHv8 7Dr5W1Zqp1JvP424DCGgbsLLbxqw5pGuW5RQC564PzVAKh5UOlqQ0Yr/cRk76+sI7Nk1nn7a nzw5H3No7aTcGL0xo/v+IbeCQIM5948Le+yEWR66qgt8i8JprDVe+opV+zq8fYxgaFNsbX6j 5v7r7hHvgzbbPxIbZ5He/rEZrScYXWU2m4llfXv97sRgsCkY08tYY7mxuKuoDkyMeXgPt3to I5qZ6K+mDbfKmqdIC5ZX0QAYFkcXla+WHcwU+IApfoyrSZmS/MQvMNluMy4Le//a/mTZKB7L docv/6DdfdqDcTo4V0rX9smQG0T1IBsMpvjjMwOyKdJ0vTkFmqGVfRfcLEOMqYOG0DLP8dmX uyYDZfx9TLtZ4Yz6FM4+3War/ibuMIb/cXYtTW7jSPq+v6JOGzMR42iJkkrSwQeQBCW4CJJF UBLlC6OmXR3tGI/b4XLv9P77ReJBAmBCcmxHtG1lJvF+ZCYSH/RdGpwXUJ0eAlswb9k54mQ2 AvTcUtzZoQVg4TXJSDWI17iqyIfnWgxPJ4C566i/56oUiDatdTqzG9dGUn9vhahNyU4FevAC hfVvsHNmtMtyRuLcNWftty7cmqGJzDuLg3uYRzli1HAq3JEBrELtqeqWp7t/RCad9nH/+eYY d9N0YWBOQUvKfQJ3VRzZnGc9zk6ijplbS1sL4mXR9A4V6j7mnbelyZ+qH+aXFKdbAt9evr/p RdL7jLRbdb8gkot3B8GNsJasuhipXpKyHxTSzSxZ5O6CLZUq1kn+U+pfEOGv8Tq67y9f375o C7d8+V//CoLMKS2f5NwIihVcHiu6wAvQ4TdVWJTTFvkQ8Ox4EEXugixyk5vbSHUTlK9RuEg+ zY8RV1L2zocc1Pq0cdz8CP+lrfkvxZeXN6n6/P7523wDVD1XMD/JDzSnmZrWPl1uWYMlex0p U1AHurW65hUbITAfU1I9DQpoa1j6iQfc5CZ37XMhf7ZEaAlWUoh5LuUOEhvIUBmei/nMAY7c CDGV0LJPHQv6VfZCQKh5mDBJBQ03XqsNxDtR2yov377BsakhwmUOLfXyK6BdBD1dw7LUQ2tC TNBsQjbHq+AED+tQ/AzTSYGj2nQ4wyXxNhif0kTRbTBZTnfKrNHjXr/89g709ZfPX18/Pcik oseIKhuebTbLWYUUFTCiCv9W3VwmdNvCZCtnndccbV3cwdnlAaRFuMokeh3WRvPnt3+9q7++ y6DGMQ8VfJnX2cGJ5Umzo8a6Hfj75XpO7d6vpya+33puTpVU7oLTP7UkVRQ4YXUNWWMGXYdL y1B0DFd0gmtEU6rRGDdXIulh5TnM+kMxaZaB8XckUi3wI90iIpGLAXq6Xgas0m4qss1n+2f7 8p9f5B71Im3LLw8g/PCbnrGT4R3uqCpJaceTkoUzKyqXx1Yt3YWkmK3NisF7hrvmRgk4ILiV tEWVQZM37ohb35MWcJbsHOCf3371B7uYx/qN38IfnrN85FjTedZaTDzVlQ/uizD1bobcMb4l a5Bl7osCuAvaXI5kmnaz+aNaqGxkRg//rf9OHpqMW9ybafnzUtYfYFvI/aTcupzSQBuQhOFS KsQMcYTbX+6FNyuQ0tQgYScLv1zABTQojl48sxKH8kSxjAMdDcjHq7TZPNd83jm6Ve3BbknV E8yQCLSL5MLdRQiedxMYKGnLK856qtMPHiG/VoQzrwDjIHFpnnVSF/4lNPmb565JUwPYiTRR z6DV+YCCkgXnIAFsk7XdSOuf+RvCQPrdbrv3Ln9Y1jLZYSCUll2Bhu4GC2p4gxlhqE5lCT/c PELeYEHLDSo35l3LAw3JpgGeTyFgu2XNKunxW/JW+ITDKll2KdXteQ2Aqi52atSv3TxZHUoO cjdzz9sUc/KPrZHmWAVFv7uZKq5kqPaCeLwsP7swtS7ZmLvCrZIvcIldTQV0QBhvcNg2pa6P ik1vh8VMc4Qo+vHYoDpz6nnUw+YBPnr6KhlDge9kiteR9kBxRdrLdNyE5iezUhMXgPtVMrEq z4vERZ7IN8mmH/LGBUt3iL73Ij9xfvWnfXMkVVc7G1nHCh4oXoq07XtPl2WZ2K8SsV7gVyfk 5lvWAiLxYMlgGXpP79gMrHSWGNLkYr9bJMQ9jWWiTPaLhXcKrWkJDktnm6uTQpvNAsnXSqTH 5Xa7cIxgQ1fl2C8c7+uRZ4+rjWe75WL5uMNAboSnEnonEKHrSp9dDSIvKKr9gR+87YRTkObc kMpXW7MEFsXZdk2p3PO5c7Rje0bR5SRKHJPVEEt6IO61WkPmpH/cbTcz+n6V9Y8zqjSHh93+ 2FC33IZH6XKhMFanq/9+Mce1It0uF3YcTlVV1Gjsx8QdiBAnDZo/vTnw+tfL2wODqK4//61w Vd9+f/kuTZEf4KqB3B++SNPk4ZOchJ+/wT/dlaADQxudxv+PdLGZbabqFD0JUbkErPumnHUu +/pDKvVyk5dK1PfXL+oRlllPn+XW4Wkl57pxm/5WIs5Mzo6oGg5jk5QZgD67x8DjmA3OjUlK KjIQhwTY4Z5X01v9tMUNgefGSpxVT8Eq8dpZDVvCcnjTwwX0BCn/1+BhhiiKidYIqBBpOhTj +FGFMaXQgJ1/k136r388/Hj59vqPhyx/Jwfy37HdQ2A7b3ZsNRPBhBJeTMkoiYeYjewMu4ys apKBOU6CkFDFKevDAQ8wVGyRwcUI8K17rdDZkf0WdIdoGNYBcodEyUz9iXEEPK0ToZcslX/N qqI/IfieYAVURIHg6AU2JdM2Y76T6yKo83/5LXjREXHe/gScyO1hxVNeZnsTxeuq/pCutBDC WaOctOqTkJHSJKSYwbW6DL38T82WWSMeG/QSmeLJD/d93weZS6ruDZdIzMm1RyOZydKjsmzr JWoI4L0XCrhEv0PgPH1hJcAcMS9aDFzAoxaOoWeF9EtF9lwOj3s3onrn0GfLmNrpiQHO/GRy T0U6mJhAjQo/a18Q3PeY48+y92v/eNeQorueXgbP2IxQ1BvBqY4QPPhRUswiNUInzmbp5w0o mNjuoCsDTgw5xsMebzPuL3CKTGUxEux8mEulRK3sFb0cqOuNsQzOMSJhZepCqI2cUcuZvAKW JcsQbYKmW80HuqQm0H4qgvZA30vLFfvK4wftr1O4sWxx0nbNM+bnVvxTIY5ZOK000ezBfnon eKbiksnlKeI99xKYnGxhGhkEtt7g2zwQN90ok4rokD6C9taEzX1t0/kwv7Z488mNImKa6Yat GKZ1Gx2hXy33y/kCWZiHtm403cF7tEVvdM1s66tYENlsyWS5QI0WVWT9XERQjyvfrLKdXCOS eGVZg5/SKuazVANYBm6XaM7PJRncSOWRaHeZQK9oinjbZqv95q/50gi12G8xx49W0kSzSmZf XfLtch9dT4MjFK3WcWwfavhusVgGxLRAKh1C0enN+UhLwWopXdP5Onn0m95VKwLt1vFxODmA x8OPTTQvJKgbHLRt3SMuYCkkWa8cQG18vUerqk4Y3n8+//hdcr++E0Xx8PXlx+f/eX34DK9O /Pbyq2cMqdTIEZ8CloesDYqc0TMJSM91y55nxZVzIVs+JmjnqkxAyVAJBE0lWJmsvT0UiAUW Ec4RxxD3j1r0ez85BfBoNIUBogyIe8iYK+VqMaMs55S50HrzGOSvsVZId0RnsBRQLkzM+crh AayT8C6xpzYCfrJTFCWqYRi2cehM10nC73UMjn5UQVYEdaWO7khu4fnn7Z87IyafAcKrLwt/ 6bRS2jk/AMTqQWqO8AM3bnIVUS7g9QeIivJmWw4AwLIGrHHPXyRVeVo9iqhIYx4qdMvSHZkK SzgzQHALSuAKzjycLlOdwtyUoGkkskqyWkyNhyzLADclB+A0WEFweX+plISPtA3bHh2fbtd4 z14B5STCNoP9MFYZHUGIJ16URMOwTSQ4Be4wkj0fbqXxpe49BVDckyDuj4MetwgAEwneoVN9 JTwyCtWsvcHKr4WkX5x8RHz9G4xqNw1DjWg29htUkTVMVBk1vCwSSWTYiL9AO6QopQ/L1X79 8Lfi8/fXi/z/71hYuTTEKNz1xQpnWENVi6vnp7qVtv1a3+dimdsLnHkNV8VbXpyqA+UQbeLs TK2PCaJ/SyVp4TnCLXmxwUKaDbclF+SbLBLYYtk13y/++usnRCJIBDZzJkdjvGwyjWSxSBaz mlqG78kDdCAdQukjUAMZzhfQAxs+aJgth1DKRTpIllZzQrj8W3J3gpcRTq2/kFiuYkBw+PLx gjdNKLj7Sbn1T8olPyPX/mwB258sYPuTBWzDAjpSMA/hgrQfVQScjwS9MQUsqarBezPhF4as 7kHKOYZHlISCLO+2WzmfIlkpdrJJ/DFhqXPtxOO22TnyOoMnZsvr50F4SoQgua9tu3RstB6l cvvRXdYdIibPSPgbk5KKNZWzk+JUVQHj04lIdOCt6tqr83Ksx9d5LrxCB7kdaaShRC11xYmk r+HO1wxFD7BNfCb4k0WJ3x9UAkfXw6koo3lmQ9t+fP/8zz/hbMNcXyDOmyQIAMjGDXDbrFQU hCm8p/MCC2JAb4TAg4xoSYrIuBK0zX2kRAuDlWayKQvsjNFKmKCB2Zdyce3Y811EMd5tNytn 4R/p592OPi4eMRbL2loFCj2Jj1EwNE9qv95uf0LEP6tGxXbb/Qarri5vj/pVrcwI7Db7+jkj uxhKI/DhdmZHnwbB2bx8gossjnLmcvH6eRI8n192B6EzaJfwZpLItqu+Hy1r1K3ws0PeloR2 R0AjceE38vBqvtS/YXVbZX4czLluO4o1endtjrX/9oCTDMlJ09FI0IQjJm04bOK7IiXJlJnk OtxKltViNqHGLzqKP0Whz1s7QWNfcvIR/dKTcYMzeL5bAn6L6w5sQLVaJWjzkucTzFuCM9ss VjDowDoGhGyFTtLE86DZNGWo0t0OdTg6H6dtTfKg79M1DkMnFy2IrUVxkqreqXhWea+ls0Nd rcLfw/HirS+QgucAVQS5yLL6jJZGvygaBkhMH3dBYt08LZdZlOquOoIarNh5hj2dqli2IlgH yuaFeNXbfWAiWj3XEEHz8z46sxNHx5PxWDr9YVyY3RKjDcsDQl4htDVGMwiEzqG15Zwxt5xl a9QNrM0yJjLc6nGF1NsMqCfEW/CcT3I6m2bdqYzuovYrP3wgLxM3mOBU5SToOktT98Zup035 qXQfiU5pEoBGaooeYtj402z5V5iI/GuFJFRCySIqjZYQT9cjucQ2TVvwj364s/49VI0wHjoO zjcaVMZJ4FDXhzISdzdJHU/kQjH71pFhu2TT92iHq3siTiE1DIHzK/zpomkfvOEpf0Y7QfLO znVR1h9S/xcNfoZLnyZ6QJ6axBpBs4B49kKODUlLYmVbL7zBCb8jaxkjXi2koPc7c2pR8OXi yW0rb2J94HfWO07aM/WBhfiZ4zB54ungz66nA+LO9tmwSQmGHvc+XZ2ZAr9CA8wtpiwjqWpv U+Jlvx5QKErFCaPaFDGK5GS/mF3dlpxNzJ8leeIS3p8ZafPNyOGBMsEJ+n6hEgqOlDURBwPS PO0ydeGTXLqrERh6Q7OuPfF5LpYTGZtSqPDcbG43STMiBgnvytRmyZrOkEm1Xa9ihoX7paCu fSDV+sxgJw9z2Ng59zbOss3n6sO3wO/l4oAvkYU0W6o7Ba9I5xd7ThC71S5ZoGNf/pO24RNj CTpDz70LBw6/7P1v9TI6KWdPg0x5tHVVx8KvHcE7W8ButV/4eSRPkVN8N9Uzy12FXB2s5p5G 70jXT07LSaE6Q8XM8zwalMIFdJImhhx/E+FK4WZ+wSo8GXjHWf4r0nL6UP929aTBURrYWcOU xvDW2/MMweJ5jVSI5g2eYGh5FYa6z7Ns87uGnzG4bxe9hfXbjcdxeQDK7Djpwt+OqCAcnP/e EFbbKo0ct7rfUoq/VunKwAOBhfz/7gAWrIwAf3tC+JGfK8LFnV4XdQa3s/uY3iU6taDdSeTk vd3cNFdOiaNI6SMV1zkHT7W6Kws74T1yrerGCxuDSKK+PASjbaLen8YdPZ46b+nUlHttiSLe OPyzuzbIH0N7DHBmRmJM0wcBAKPNvDNLJ48L+xioyJoyXDZ4pNDIXvmIWoaensSQsxaPZnBk WKWlIkmQCvfbOiXX1xuwo7489zojp0Xk8pR4KjDTS27S/qEoOChagP5DIwg10M/ZU08VUYfH O6EUQMsgAIDJcRUJtwAZ1qUEx2U1yQ7eI1gu1SJfBikaJoySlt5LeXx+p6dtkMuRQZSaWZpd Bmue14vlfpazpO8Wj1jYlWIrVYUzxmcf9g36olpzvAbQiUBw1D9x0ees+soTYw/y5/wm/TQE 0BFAcoix8M5reW4Ik4vLONSAjh896TuIaShg2HIoqLBeLx9J3G0RogahD+pqPWcz6c16uV7M E17vdsuwFhnLSD6rg2VqF0f4TU7kaNfZ4lEVDah1SSRR4HbZbjkrivpsvbvx2e5x69dKE/c+ sWA9zX0Sy5pSDu4gQ43i0F/INZJnCaHD3XKxXGbht2XfRetvrMtIopYrdeswUW1IxL4bDyu8 qk3kbolwQOEOs6kU1jiZZTQJ9DI1eD9Fj0T0QHO3WAXD9NnJy66c5nQjICrlKiBKLWpeOXWA EZRedHS56LFpCz52OU9YFqRtTziChMwFuYNcJZIW/sTWm9K32JoGj6oQgRdPrTHHP95+vHv7 /On14STS8XYPSL2+fnr9pIBAgGPfiSCfXr79eP0+v410KYlnB1lA++GCvn8A4tNxCJcd4Cxk Od9p8PMpNVc8opj6MjzyqrUrZRenu4JxZ6srpebqT0m1Ute90yiI+0curLTt0MAmy1Khd3DZ A/tuZMadLRd4d9f35WjSEHmgwbJ9/F1+KXdPsf5Tr4IF5g0q2JIQQhgT0tPX04W6crfc4Zdj JU+BReJWRNtddhiCoJehe+Iufwz7pQ9HaMOuIxj3wA8b02NmNcV1QbcUEShSVwTV3V2Bj9fc tR9dltIbaFV5B2bPXVUYawP1uY2Y9xcPGkQ98wzDxKo8l8+c9A8Qxvbl9e3tIf3+x8unf758 /eTc/NY3eL+qF7HdhenHHzLHV5MCMFx9yZz/3k3eaa6IwXnmPZxSxvR7AC5jWCQQaEAOKrbd w0Ve+b8g8s2L22jYCHIXisk9Ms9LqlAVnX1Tp+lsyyCfiwhSlOKWyxrZAf4NvIffX75/UqiJ cygn9e2xyELHp6UrVfxGtuTMi5Z1H1F9AQREQ2leuHD7mg6LVUU9/BlFvzw+7pN5UWTjf0CP XU1qjWcRaJpww9ars7dsyp9Dk5ZzDHP29dufP6LXchXsv9OP8FM9ixHSigJwRPxHXzQHXoDy 8Dw0WTSkFfTJA2nUHE66lvWGM+LxfYFBP95feAuKCNCiggbPYPkcAKE/YfZrICakSkiroX+/ XCTr2zLX99vHnS/yob6ipaBn/IECy9UnEk6PxJC79AdP9JrWAZ6wpUmVo9lsIngKvtAOBwQJ hPZIuSeR7inFi/EsFfnNnVKAzPauTLJ8vCOTm8fZ2scd/k7oKFk+PfnYKXOREKsKl1ADm95J qsvI43qJv9DkCu3WyztdoWfFnbrx3SrBF3pPZnVHRm4529Vmf0cow1WCSaBplwkOKDLKVPTS 1fi2NcrAY31wmHUnO+P7vdNxdZkXTBwHdQnhXopdfSEXgptsk9SpujuiarmY4QE2ziBYyZl2 p4M7ngxdfcqOknJbsu/uFkrux2Bw3hZKM9ygmHq5k9YmZ7h7zVk2o2ufXDHh4W/HZLKUgUib ufa8+RNrhdduEsgxjXFkZ3XqB1CNnEOR4Nr8JNGiESQef3BhlyfOick1g/t3jEauMqYI6skd ZQTL6YVVHpT1yOx4nuEpq5Ou27WSOlnLIui/oxAnB3VEfrOIUjehdZsiBVSslLhPQk48eB4T r9aF5fIHwvl4pNXxhPdjnmL71tQVhNPMVcem7E5tClCQRY8NSbFZuE+ZjQzY+ANU7ZHXN+TO aL2Q8kn2vdwL8QVzFGx69HGXkV8IRh7TUKVSz7r7ONuKAk8jDbJLskj5XCnWxMxcR+pIqguJ LMKO2FMqf9wTauiBiAi8tRETtGWklK2X1RxfX039Yc3UStutdYqhZ20tZ+sg+kKRAogfRRMc i2VQrMINKbYUVYM6oCe5wRIK5d2BZyhJSHEjwA1lPStmEXl12DA9FUp71qxFxX6pH0KsGL8K 6if8aYACJ5edYki1P7YzGYGMNQKF4lLskqWSHWanr2R5JBMCrIXDPETCg+eO/G/bDP+QNOmt wmm90C3eKWgdWHZ8BEVLGSohdW2EXq4RIuWn5eLJcyuOvILvwmXEeBOwbpwApBBDUB/dSHv6 5VdwlM7Q7Dr/RuQZa9JTxfr9bmg69xRYw3ZEiQYhMdmM11lK9Y4IXN42wboGxfn755cvczvf LAwKaNNb5Q1jl2wWKHHIadPK9bCjuYUbx+WWj5vNggxnIkkhFpMjVsCmjrn9XCFJErX7PJpX IA/gymF4F/lcBu1dR4DLqVoV+SHerzFuK5uccTqKoBWifUel+hGfwVaQKE/IcA6f2UWFc/ye m1e6LtntIufKWgzeAUDuUmhMyD++voNkJEWNGOWAQ660mqSg0CWOO20k/A3BITq9Gab6QeDK tGELVrAzrqVZiSyr+siBiJVYPjKxjR3AayGzNH7oyOFe7xjRe2LmaKcRdyVJGwFx0ey2icCe aHYhyqFs7uWhpFhVlLS/J5pB6Ix6TIUdWCbXlgiwimndps3RhTVYh4JhwbPu/xi7kua4cWT9 V3SbeRGvwyTABTzMgUWySmyRVXSRtdiXCrVd01aMFoct99jv1z8kAJJYElQfZEv5JbEvCSCX feNoCihwK925lbmd9Lisj0dWn23d9rLxjKvt7uOu9ajFgMNcX4pSja/H3ytUseEazPBHqNFF dXnitgQwedLC0hWALv83nbswdp11u6YcxSpG7JDJD6cglpaNcYsNVBHdzHQXIenglFPeEKAI uJMwlcwEKHVS5ClunaPuygWf/uQiCX29dlI75UNxW+6why1ZFLBd2a3XRlorpxAzfHviUtK2 NO1+JqKI0MUlFcutMcIoWxwp1sxS8AGw1U1cuw7MuHRPINXRcjvNKXe4T2VwmT+ZbCoaOD0Q dIi6okkJ/G9TuhoK/tO1SDMo8jw4gRNVIVcICPzyLRb5TIDjHf8baWwPx92gCyUAjglrpOMA sTL3u/MHqz48nX6g9GOne321EdNCkS/QzQdjvo6U8bVzqtEE7NboWueKg9oBQjXt/tAPwi2i DHLlvjqQAnls0AsMDSVumHij7kwyhBnJjYVFUG85M37HzlGpwCWVlH48vj58fbz+5DWAcohA GVhh+F61kiI9T7tpqq1pl6CS9V8Xzwwt/vCg8GYoIhokZiUB6Io8i6PQB/zEStPVW1h+F7Lb VxszxbLSPnQza5tz0TXyjn907rrUhPr3KgKaGQMVAH5Q1gejaO1ms1vVg0vktZ3eRnhm0yEG 4ljN/aZiJd7wlDn9y8v3Vzyio9FieVOHMcWfDCY8wa/LJ/xMPa2dt2UaW/2q7EhNYs0Cm9Lr VrBA6er6HJmkrbjWIxZRKLnzQXewWrzm50vT4lqRE4q/rig4S3yD11CYVYRuv9M76/uv76/X p5s/IOSYCsfzzyfeN4+/bq5Pf1w/g1rOO8X1G5fRIU7P/5izcLaV1ImwQJlRx+VQ7uvNVoQI NAV0CxRuCOym0HDsHOHh1E9hgFVtdSR20otrxF3Vdg3mVRjAnXj6sIZCkSP+2ADZ39Gz3e3t YFpBAtVV5pVKCj/5sv7MBVnO805OpHulI+UcsUVBcueWB8hDvuu5/OSewnavX+SKoRLXhoWu 9OCd5dbYHA6oVRtAqn9tknJd7vY8WK/Y5lcICyxHb7D4ou7pW95ULmo6fwcnnJymAq0hdStP Gm4cJjrUfV9nOnq97fHTQNchEfuG7ubT48un/6ABhYfuEsaMgQey4g6tr/v9JMTbO40K3zQC EMb9oPvY5HRDAVvjhw1qfdgW1k0NpMR/w7MwANlpTpHGouQ9TQlB6OeOBJlLb4uO0D5gpjBj oy7CD1sb885gQs5hHODH+YllaNfYGj3i+zsWxFjaXjO1qcAgveVucYs+Shsae4As8AFaS8KS aGhXK4KI5gP+51TAnzicfEXv1taSP35S79+b1smyV+0Tt5DlhJ9upMoCnAOJSVFRxjF6uv/6 le9TYhF31kHxXQpOnc2ooYIur08sorOhCWp5yruVU1q4y8OvBQBdD/BfEGKGI3p9kN1Cwnu3 PS+3zam0SML47FhY1HbFkl4PayzbN2/zuCS843erg42JGy63S+odNnzH7ipMo0RB9lqjyGYH N5rKSHMUWf1dOQkrgnr9+fX++bPbxUphximJosMY9Ban3HbOdxsILO+58hGtC0oYqEnQDJvu M3S6XRyTSZwfUDtYBa+ZjFdtfjZ0dUFYGHj3N6sB5Rxal3+jYXWjVEkVLrXsqbMq0yAmzKWG DKFmcRq2p6NTj9/z7cfLgEZSFbgUyOw50NEsovYUGNdHtxPSBA1XIxtSKnsgDdzzrxiuLzRz MFQil/j79swSq5TDqUmCKHCyO7WM+gvJ0SwzwrsgXalOXbXbxWZWq4F57qTViKsvInS5R1dq ZKokF8EMnATPviwoUTrMoyDils4caZsNPxLng/7eKnuRizYHbVMRgaJFzcLf/vugRNP2nh9d zAqfQiWgCaWtnUf/eWIqexIx/NZbZwpPHtX+iccTY3Fm6De13jBILfTa9Y/3f13tikkpWrgV wLOSDL11uzcBUNkAP2+bPLg6nMETYuduM5VE7z0NINRXOoa6KjQ+1p/YTSD01pm+WVbKfB9b 4h/CkTJPkVIW4gCrgsjbBFWYoku8OTA0cVL4UcqPuK6GREV8D0zSFGh/6LpGu+bUqba/DgOz /Kp0YFoHuHFVzDIS22S59k3U+T4XAtALKlJYuGMEX9SwZQWJ1rSrfOAT7MOlOJEgNETtEYHO 8Gix6iyoz36DAclV0IlL71e630ZVdoM4Otc2iOPnq/fEjOZiAeYZxwZvy/d+sBwuB95XvLFt RfWpTnkWonvTyMD7NUytXc3CMEUNg4WY1i5jE3H5h3cvOmVHFjGqzDh2I9R0LCXpwremzD2n KLrCBZqBJnGIfXAOo1j3xjgi0r39TrEk+hWk9rGQUHxIRl2Ed14UxmcPkCFpAUBipIQApPr5 UQO4ZIQk1bcrGqVYZ2/yw6aCS3SSRZjX5olPPaS6o3I/xAFF+3I/ZFGMbQgjw6HowyAg2LdK Vl34mEuoWRZrl7rWaib+vBx1n+2SpO6r5JFX6jfIAA+YxfUYB7FMoxCNx6EzaEL0TG/DgBhb mwnh27nJkyxmDByZJ2fqzTlM07dyzrgM8AbPwGu9FFdScoRY6TiQEA+AhqIUQIwAPU0DtJp9 kSYEG9UTxxniH0NI2S2XNRssbdDDQejDuUObVry1gp/FhVzLPiFIBSGMJj5S6vgOPCsvJLnm Z7ggXruJAsDIeoMlu05jmsao3y/F0RYhTRnlbV8gSQ9cLj4MueHufwQ3TRyyvsWy5RAJvMo8 iodv92j0tRknaNriYgdVsR5ZbuvbJKRI+9erNq/QEnOkQ527TgwDS7EPfy/QbXSEuaS0Dwk2 FkQclU2FAGKljrHMJJR6PJAZXBmW5VDwDQodfwCREFvJDQ6CTGcBeMsbEY9UZ/IsTWHYpZMg QdYFgYTIyiiABFmsAcjQjuQIDVO6tNRBaFg5fzGAZp5kk2RxiAiOGF3eBJRhspJZaqyz26Kj AVbYoUjiCO2tNsFEuhlOKdL7LbZgc2qKUpEuaVqGjVV+/kCpaG4MzQ2dA22GjeE2Q3PLYkI9 bcUhVJwyOdBp0RUspcnSSAOOiCCV2g6FvF2oe+NCZsKLgY97pC4ApClaHA7xc5VPr3DmyQJc K37i6YQHmUUecXWaYe3WtZZ/oumT1noyREQdgg3CFbguWSMrLF/sL8V63SGbWr3tu8MenIei 6J7GBJtTHAC3QhjQ9XEUYJ/0TcL43ouPLsIPWEsyoVjj0dkkAdBiOTTq0g5bcykLl+VSteou d7lcZz1GORoTCVKPEoXJFL+ZEl/tPCasOlMUvSHXwvk0Qd0/TMPuXPG9BVlBhq6P+NkZWUU4 EtMkRfeBQ1FmAR7rUOMgAboPnMuu4lLEYo0+NoknluJYoVMLchOWfn87LO79HMdGPSfTn570 iqW1cda1sQXktuJ7MLLuVVxOjQJkXeMACT1AciLYzAMnPlHaLiDYFiGxFc2Q0vXFbZxAGN8x QoTbIsCB3noYHDRBPx6GPkUjLs2FaxNMQOJSfUhYyfBza5/KVyH3WMXbji0eq+ptbrzv63Qj avJMpwQ/+gwFHgZzhG/bApeOhrYL39i2BMuSUCMY0DbgSBQsNQEweGrUdnGIK8WNLMc6T1ji id898gwhCZdKcBwYwY//J0bTlHocQms8LPQZqsw8WYjpXhkcBDk/CwCZl4KOyiESgTXKo6Gp MTZ8FxiQHVpCyRY9DXOQz8FbzAe/yVLdIudseSM+05XvaIfAp2s+1GBu2rtY1Vb7TbUFKy6l oD7H9NYCeo/sjoN1h8NWQrZgiNUHtqAXCPGIKm8rxrIScTUvm90RPJp1l1NtBgfBGNd5veeL fe7RC8M+AYM/aee8UBgzbbcV7UIiMHisFP/g8FwM42pSRNT0OwUvq+N6X733dz2ELxDO7FxI ab/MjVODa9qFzEYLhzmpkeI4VZ+A7e6Uf9gdPP6iRi5p7iH0z1UEeGyGT+zgYELYP/CE9UE6 MTgqQ9Lz0/3rpy+fX/686b5dXx+eri8/Xm82L39dvz2/6DoOUyoQSl5mAj2E1Npk4POy+dfT W0zbnR5W28fV5TI8i1s1jVEfxZDsUpN5PhvzMdvH58qm360HfRTM65kOaHlhl/vykh0ZTFKH YZkM1mi3IlppYTktV8+DC1Y4yuTNzeFjXe/hJdVFBLnvEESphCFIecIS2sZDEmK1hhsVCCrl Iv0AbjpCtMHzpm7TMOBgiTVyndAgqPoVwHOCUkvGpLV8JuUkVMRROeS3P+6/Xz/PA6K4//ZZ Gwdg8V0gq0E5mCau4BNg1/f1yjKu7NE4PUWb6+wa2fxLxOIWCihY4gYH/no7cfDlzlcQab9k KovrgHB8XbRbD2o8GEqk0jxGCXOMf/94/vT68PLsOt8d+2ZdutEqOC0vBpZFMXZXLeCepvrz x0gztGL5yNL0uMzk84GwNPBrVwsmsH66gMGm5cHS4bltCv0mHwBwwJsFulQuqJr6l54KKO6e MZr5nA10W/t1ptnOH0TbgoYresycUBqjH7HFj/RbvplovB2I9i/zLKD47RR8BnBM7Kt1lwW/ fBjhBD+PTDB2FlFgGDtjY5MP1Wm3v+svG9T1hmjwIqRnu3MVEemyjiT6UyLQbuuEH2REI+kF 4Gd4vmH1dYGfZADmyeOWGU3HQd1CBwi9FRaEZ12/7/GY9wAKNcSi3RkB+gCY9A+NtBjrWjy4 24w640uQE1SBSI7mSYfA+EwqARBfZq72wEzVtQ9nakbRLFiEN75iYFmAXSlMKImdvFiWYbXh ZFyjTOBDgl9XjyCSZLVdk3DV+icTl1oOniRH/RJjCisaXGngalQjg0fNT+Q5aT/qREe7QVCL eIiZb7qCxQCzkpEyh0nsqwLdU/o6SpOzN6ARcLSxGXp7IvqNpQTL3QfGh6x/GfJEzMhX5zgI LKuwfEVDH3E3dE7xhrbz1mfUU9do/AiUt5TG58vQF7m9bU0KxUYeoD2E3tuqBJv2YH/S5U2b e/wkdX0SBjG+K0htY1T5QUKpNZJG9WS7AJKe4TfSEwOxtQqtivGKL2xfiiNO/PuTysXbeEp1 Gi19Zmu1uwzO3mmy8KXZvKsaTk0UUFfwmWFQykanz6kJSUqXpk/T0phSq3smrXKdaCmEA+14 ZrGzUzS74nabb3I05gYISbZCvkZ092EhpJDIqVgbW1eaFhhae4pQQk8RGnOTZlHg70Q40IXn hS60r79mmlu7STVeXx93t620RLCFlRExLRfMb2xEndZsYqs7pRuPk9MI0q2zfceB6WPs/Wwi ep2qzxwy6sNx1wyGlsfMAI4iDtLFSn9ojQhOEw9cU4lbqkUuLsRs5MR1IDi8sCTGK5GXMfVs +xqTWO4XqzodgbDPxVFo+XPryDEj7slFw+wBY0DmiLGg8xkv63QkeqNJuLBO0G3BYvE0yTrf xjRG1SZnJts2b0akuP5GESXTMUb1WWa2um8yGniGB7xQkzTEHylmNr7UJqitlMbCt/I0xPpD IARHWEo8HSV2uuX2a+Rq7/meg0mKm9LMXKPw/zfYYoY91hs844EAT4ElEeaO0+JJFhLIyHKD CJ6YLCSAKhrZdTClGxvN8OOKxeZTNrHZyJs9JJUX/wYXb57lyhVdyPsHHYltF0dhgiOMxZkP wVfktnufZrpCoAbxo1SIThNACPUhMbrUTQczB9HOVy62PnxUYYGRpuyOjAXoUdDiYUsJZG8k cGqxkokojMpi3wGtA5kG2McyDeLSBV5KeSRcLGRP2i4P0M4CqPct/n3csjR5a03pmw3Eu/OE NZnZpBS0XFB+HgySHC3oB8ZIhI5SUGUJ+ZjzYAmhCTqE5VEHH6ruocnGGDrLBBb6y2IfWgxU HDsWG+hoejaYgUniRVKWEi7ePYXvYFLMtwEaZbsbIKyOIWiKsDkCBTuu3R6NdCF4FK4JwjqZ S6HNgCXdH1bl/igcD/VVY4VHVLb9nx/uR+n49ddX3a2pKl7ewlXvXAIrD+me/DIc36wEOBcc uCg8s9r12edg1+qrbLn3QaNhvw8X5mx6DSZzeKf244fHuqxEhEU7Lf4HmBgYjvTK42rsctGq x4fP15eoeXj+8fPm5SscQLRmlSkfo0Yb6jPNPGZpdOjLivelGSRSMuTlcSE2uOSRJ5W23oow TNtNhekJSNbhsNVrJ7Jvq5bwH7NFBLI+bXdlZZV5dViD2wWEWra8Kzd6L2CtpQ1OzX+V05Z2 l0BPuB2MpCDSLx/+fHi9f7wZjlrKU7NBp7ZtjjsaBXCLmnKKz/Iz75O8g7Bg/woT87PywzaH lwrRFfiFlWAT/sj6Sjh1uTS7vgcHFJ4MD001PYZNlUeqp8/56WVMtoXyS/Xvh8fX67fr55v7 7zyTx+unV/j99eYfawHcPOkf/0P3gQyPh5NjIXN6cmSefXrX3n99/fENibijxuGJL/qRPRuG k1D5d5N5d/98//jy57svv/749vAZqo347JFpFGcS46pvEu/zPA1NnXADgEZf/liUW2/uuTPg DVUF3XMGXH7kZ2xMcAJwdSg31eDclc3Q8nf50VyxVqQg6rWxMx9lMdQ2QAaeruE7C7HL0g1Y w0qEmglswTWLSSrL1b4uN04NR/ql7WupzoLvy2ILGSeff4k72kN1XKCItXnPdGTJFnS+LO50 PfIZgbUOFqd640P7jb/VF/rD6gtt3EWJh3w5mi5jo2beNuULO9panG1a+iWXnf68Mwh/q43h b1WOEjMbvRiwqS8VQ86gtngn4uvBrLtHZk7f9iIAH08Bv9WBagghAMnClgZ0fziSdP/86eHx 8f7bL0SdQMpAw5CLZ0/xUf7j88MLlyo+vYCbjf+9+frt5dP1+/cXvrpC+K6nh59GEuOAzA/G E6gil3kaUUdS4OSMRYFDriDQUuwIEIJOHPa272gUOOSip9TUlh3pMY3wh4eZoaEE06FQ5WiO lAR5XRC6snM9lDlfWJ2achE81c0+ZqppiaUkpY6kfdvhDyhqOuy2Hy6rYX1x2NQw+HvdJ3oa gk6OjHaH8mmXjJ6SVMoG+ywoepPgYh2Yg9qVl2Tq1h6AyOMdfuZIAkwRe8aZ2wmKDEcVG1oN LEQ6gpNj/F5nwpMl/K4PQlSRXo3chiW8JkmKLnah02SSfHbmBdwepro/I5OOVXg4dnEYnd0q C8AT6m3iSAP04WeUbAgLEHknywK3iEB11nqgurU/dmcqrVO1QQdj+d4Y6q6YJJotXRpQQpCy rXB0uR4d8Ndn75xJQ4J3KnMWATEPTItxHVhaqYCDerQuNA7PRefIkVGW4QF8FMcdYyF2Z646 67ZnoymQ0WRT82hN9vDE16G/rk/X59cbcA+L9NahK5MooJ6rfJ3Hvkw1cndzmne1d5Ll0wvn 4WsivKyNhXEWvzQmt71eueUUZCSTcn/z+uOZnzOcOoKkAOZjTseOwQesT+X+/fD905Vv3c/X F3CHfH38qiVtd0ZK3WnWxkTa3VrtiL+gqspDEKWuLpVDjFG68BdFVvP+6frtnqf2zLcaN8aM GlHdUG/hvqNx5khb512HIbd1HDsLRd3ylnSWGkFFVnOgx5hGwQynyGEJ6Ogt8ART3ax7pprv 8pK+O5Ik8icGcIwUHeioOyENxnNLF3OLE1f8ElQ0MU7HL4NHhiRZ3DkgBU+EUI0Bexqa4cxZ QHfHlOg+dSaqfJKzqUmETASgp0sNlab4Z8wSECw48+SW4Q4FRzikLEZE12OfJKi7PDXLh6wN AqclBNkVvoFsOC+fyJ2l/DIBQ+Cxnp05wtAvGHD8GKA5HvHyHZHy9fuABl1BnWG73e22QYhC bdzumt6t0v73ONouXJ/Ed0meOwUAqrPCcmpUFRtEoOJIvMoxOy59ybPTqwZW3RliN76yikW3 4TT3UDfu7zFzz0z5XUrd80h5ytIQWQE5nQXp5WjHD1UlM7IXBVo/3n//4l39S3i+RAR/0INC 3+smOIkSvUnMbOTW29X2BjnvrTZmXa+r+2K5j/34/vry9PB/V7jqEhuyc1wW/OCTvdONEnSM n29DMzqZhTKSLYGGzp6Trq6kYKEZ051MGGCVx2ni+1KAni/bgQSmMoqNepynOGyooqrJRJLE W4qQeooPAahDT3ueCxKY9sMmGuP27iZTFASe5Ntzw1OIe2/zCDz1vyoptiKKema6ojNwkBwT 1MLAGR6ht7brgq/j2LLnMJHFJDzq3m5JUCVBja3yN+y64CKbr9EZ2/cJ/9R9KZO5H/LM2A/N eUvC2DPU6yELqXeo7/l6ihstWj1Og3CPrfvGmG3DMuSNqd9W/D9jz7bdNq7rr/hpr846a5+x JMuXh3mgJcpirVtE2ZH7opXJpG3WpHFXkp49/fsDUDeSgtL90IsBEOKdAAgCE/we2mgE76V2 J33ben1QRsbo5fr8BkWG6xHlTfj6Bkrz3ctfiw+vd28gyz++Pfy2+KyRdtVAo6es9svtzhBI O/BMAIcWe17ulv+Y5lMF1FdnB1w7zvKfKX+E07KGupmC5VRTKqlCbreh9No4C1Sr7+/+fHpY /M/i7eEFdLc3TPZmtt802Jc1nSkXkf1GHLgh9bJENUXgijWbnWbb7Ur3JBuBQ6UB9G85O0RG LYLaXc1ftyisa91YpJXnTG48PiUwph4lzo7YnTWAfuwYJtl+qN3t1gbu18YqHyh3Ns92UhDT xy6Oh+Ry602AUFHdO6MnddeO3eQzl069ow4kVajbDUJnaToZjci272cZqK/WVlVObO1M+bWc aGviiKf1r3GcZ9ckTMParoiEM9HqUlg5k1HC3ADMmXYoNGLj6PO1Wnz47xaVLEBAma0qIq2q QuPcDdlnAKYd9Ibp6VHHT7e0Q/MzCSi4elDesaErq0JZXU2nM6wq31rVuGo835qiodhjL6d7 uz09gn411FFskOJXBNSL7w69m9S7a6K1Ylm0gzPeriIP3t/4PV1+bMcodOHELKdjB/CVQ6fG AXxZJe7Ws2raAq0+Vlvs1ub/KXTgAEYHhNzYm4fZGnRHwezhh5vD1l4gbV+55CSxd9l2e9v0 S4RVEr6ZXV/evi4YKHOP93fPvx+vLw93z4tqXDe/B+qACqvzbM1g9rnLpTUl89J3XMeZAlt3 NPOiPQBda/bISA5h5Xk2/w7q27w6+Jq6MGvxMDyTpauW5pLyI1Zz77T1XWuYW1gD/ULCz6vE 6n38gjNsUEKG7+9QetGdPcCwbrbEIaC2Rnc5vexVXzPP73/9ugrmARPgI9/5zU0JDCtvmvmr 95jRPrO4Pj/97CTF34skMZtrmFvHsw3aDDv8zMGnkKZZtFXAedB7KvWa+eLz9aWVZwjhytvV l49zMyfbx64lOynYbgIr3MnZrqBzez++F1gtLd4KOGXUgmltR01AUOPnJIDkILeHxG4DAk1d WvGp9iC7kq8guj1mvfYtsVrUrr/0z5N5iaqRS+u0/d7uWbtVnJcn6bFJrWSQVy7tpqKK8YRn fDIPguu3b9fnhYC5/fL57v5h8YFn/tJ1nd/oVI7WybCcSIWFcQ8xp+iob1fX69Pr4g1v7f7v 4en6ffH88J93JPxTml6ayGqh4U0xdZ1QTA4vd9+/Pt6/kh5aB4Y5R6n+11M3wQ91zQKCl+ER ifCwgL2tppKhmmQqgHhKhVoY0ZInEbqOmF8+prJL6zmFR3sS1bKDqqWyaqq8yJP8cGlKHkmT LlJ+nkSMoRGZn3nJkiQP/oCz02xTS5BwdmyK+CJVDpKZ9mFW2gY05rCJRJliHkerwoV5/42w qrKG4FyylGwuUJLws8VABrEKzD3kn+puPxew9dEXdliqzXUL8tra5NYme0wc3W2wh2d1oUx8 u239DtI3LmTfq1ArmpSpZq41huKYpzxk5OLQS+k1KVnI7SFvYeqRYFGV9lRnaXgoqCf2iMzy 05kzLf9YB4D5cWDBpQmqeuoy3dO0PmY+Ce7jHf3h0ejUfJ+t1aXZs+CYiENMOivi/Dhwe4rB opo0W86VTw/s4BpyOvZhwEoMIhSH6WSzULjkHFLub4i/qROT2T4P4kmFuhTs82NRsEyltu4E jdfvT3c/F8Xd88PTZOIoUtgDgSsvJewCZE53jVKeZPNpuYRtJfULv8lAm/J31spoSfc5b2KB D8HczS6co6jOztK5PcGgJWu7oS3VO/3VEgzWfaIwT0TImmPo+ZXjzUgHA3HERS2y5oiBmUTq 7hnpQGPQXzAqXHQBCcxdhcJdM28Z0jURiaj4Ef/ZbbcOdaWv0WZZnmCK6OVm9ylgVN99DEWT VPDdlC99W+gdqI4iO4RCFhgQ8Bgud5uQ9MjSOpuzEKuZVEdgG3vOan1LfV6jg6/HIehgO4ou y88M6dQ8cZYUSZ6IlNdNEoT43+wEQ5DTrclLITHTStzkFUZm2ZHazEguQ/wDo1m5/nbT+F4l qQrA30zmmQia87l2ltHSW2X2qm4pSyaLPS/LC8gCVX6CtRmUnGd0bUt2CQVM7DJdbxwyQjVJ u3XnBrPMg6Nq/cd46W8ylOzpyxy9SLbPm3IP8ySciZesrSOWyhNMZ7kOnXX431NzL2bvLxSN du19XNbm5QlJt92yJZw4cuW7PCLDptLFGJvpPcnFMW9W3u05csi3DSMlyHJFk9zAxCkdWZtR UyZkcultzpvw9ld17KlXXuUkXL/x0HeyCkZMwElZbTYzJOhTyoJ65a7YsaAoqvKUXLqNedPc 3tQHRjfgLCQIfXmNs27n7na/GHBYlwWHXq6LYun7gbtxSXnDOm+M06z3tp+eBD3GOLJGvWT/ 8vjXl6nYo/I3hzM5lhVBDP1ZwQdQgHtn/+/3SABlKpPTnBwLZxEQhbasmqKQE4sCQyuHRY2R sg682W/95dlrotuJgHKbDArFbJ1QTCyqzFuR1+1t36HA1hRyu3bd6RgPSNK7SAnEAuec2Bq5 ZVqE2C3degpssxcYQDx8yaGtYpFh6sJg7UG/OUszOomiyGUs9qxzgl3PHU0W2eYXbCjvMUUG m3ZUrJzJBoGRU7O1D4NBvrrvyxah48o225wuHqpHibBmWVavvdU72I0RqMTAhtZKRjUB3UJ9 Z7L5aCjUmeYUykEAnQI7VWuyYqfLTS/Mq4ydxdmuTgemws6aUnQZFIfTLDqtZUT7t6plLMoS 5M4b0FTnFqbSMiYDG5JpupUo7ujxPDpp3lIGhAWQ7MzsSc7r9lksPg4G1Z0UMEBu4VmlVOzm 5iTKo0WFGbVLloXqjVDrm/Ny9+1h8eePz59BBQxtFx3Q+oM0xHw/Ix+AqXe/Fx2k/b9Tu5US bpQK9TBZyBn+RCJJStgHJ4ggLy7AhU0QIOcf+B5EXAMjL5LmhQiSFyJoXtDDXByyhmehMJMO AHKfV3GHIScRksA/U4oRD9+rYCMb2FutMJ5dYbfxCARBHjb6QxokPh+YkWUdP93roQY0hWOk M1uYrFEJw+ZXIjuQE+Lr3ctf/7l7IUKO4miotWIwLFLX6i+AwMBEOR583Zk312/BBSTeGStl hJZH0GhYZjZNpLIyIRjyGR+7mRWTTtjHmtQ/mZ0FDAL9vVKcmUWOoBkv6R5rPWLrwfTAiI3u b4sjpbIKEyA4xJOEZyC5W1Xq0RdZiZsTbZcdyei31CN+LoQoNkNZbGaGpro4pjvVAKRNIxYd zVV6Fkfp4R4yx6fdM2exgn6VjJOA57APiJlRPV5Kc915YVRPACAoBzyZgo2H7wA853mY547V sHMFghF1Z4BrFOQdnlV255a0G4pacTOcAlam9k7eweBwYHDCnJkRKdtABidZ5fRFM3Yvhnec Q2LSokNdrfwZLRJI+gyedM27eGPmuuCoweSp2R68gTOyeIww9d73EAb2Auqw70z9VvKcmaQS L5Y39kxNNw6ttJDnrdp493f3fz89fvn6tvjXIgnCPoLD5Bk5mi+ChEmJYQuEmQUAcf3LU6K+ w1q0GUzw+IS5FAGFsuMTjpg2+s1QmRExH+RppFExcm4TPZ/liBwDUFOo7XY9jzJvLLXKzmcC Ntq69paM5qCQ1JW1RlJsfT2trlY3K/a21vVmSPCR1xl6YJMUdGX24dpZ0u5A2kfLoA4yahMf abrQg2QNeKhL87+YsH15EFMwrYj9+pwWSkxVAlQWw0CHvxtluQOZJqMjyWo08OUZDyqNKEhO leuuyMU6udHrKybzU2ZYX2U29SqJRThdvbGR8leEY0bvquTZoYoNbMk0m+ipLTt8E0t363R6 7/794R4v+rEOROZgLMpWaOIju0ehg/JEP5JU2ILeERXuBLJ2YrWSJ0eRmbAgRgOnDRPwywbm pwMrTVjKMK/Dxe6PQHnLzlY7uBQgGVJGfsRCdx/yrLSyx4zQJqIz1mBZjneklHuvQiY8yFO7 rvzTkV9mGR54uhclneNI4SNyi1eoBPTAXBfNEQofU5ZkuxrHCy00Ie6WJRWZLgSRZ8FvlTXb /M7hUlp3vAgVmAfDAlXcrstHti8pcRxx1a3IYpbZjcokKC+V/bkkUEmKLCCfrB+QqfMzFXNb IfODwDUyKdTB8UdB9c5AEEXW9iXKU7pPeMFCl54uSHPYrZZtUQ14G3OeSAPcrgOQXFMY7Elf pjB25UwKphZ/iUAKoEQuRIPGqSa+9TkRlDkmcbHAaPss+WQ5pqekEmrWzXwlq4TJKS8rfrTZ FKD2wWYB05ryq1YUvGLJJatNZgVsJnAykcDWaGF+psO8d5ur07WsSRYw1eZ2GZDPMmV8D+Sk dIm3mLMjJhle7L2DVpcT83jMFg6H3nGmYrLiLDX7CkAw6eCE4dZmAh8qEnuHKc17aLUZ4K0V aO7zW7JMWVl9zC/IbpaoEmf6tFfIvJCczAOlsDHsD1azqrgEbSYFucQMMKfD53fzEx7LTWGq p2q3FCLNq7ljsRZZmpv1+MTLvOvGgVEPe++w+XQJ4Xh+Z223id+a+ERbOtUpnRR0xBhKdBj8 WEyZZmCIpmJEUfwmxXqEDhxkHLlv8hgUtRkjGeKJqH0IPiWFaPYzkwgJ4L/ZXIoFxKuMUTGT TWyu6xOZhQhLtPGlVEcgEbbEDkGG8OLrz9fHe+jS5O6n4eU2fCLLC8WwDrigXbsQqxJcnSdN 7LrznS9ZbJgdVmtcAJeC02owFixzGBF5KypyO09TQ7UubkvJb0AuSinDSoeV4Xajv03swfYr yjRo9pjgjgB1Ief+2GrCOEZNOjE6aiOU6zzftDBMbSSm+Pr6tghGd8RJWjMsbBn4ECTDWA80 NoAaDNoVBCBw5rqOM+Lb+TPUGxEgzOdxQ3eaVjCpopTimEcwjZnUl4yJVIfAHLLaOXZ9BmR4 G6Qyfr9aXa4zin2E/+r++yMqFcmes1Nlf5olAXk9qoZQRCkUN9n1RiSbUbDfkM7tiDurIJzt 3NXAJ6iaWMOEt2qMmg16mRT2gAc3kzkQyxu7Jv39oZVxTKNIqyPVRzXIqfSYpqygx4yla5+6 5xwpeA3nXIZZLvXMaSmoMpUw1loHsVKTPXy7vvyUb4/3f1MhxLoip0yyiEO/YQoAo6KyKPN2 CVOVlMOCn3zs18u0/7iaJakkWvJRCbJZ422th50dvvTJqNsjnpoHGb9Vgp8muHO8xUdbm6EH DNBmTgJXJPsShdAM9o8mvkXH3+wwepVi5stJt6tiLPOWrr9jVjUYppT2LOA+SNeefj85Qn0b qgx/y0lDFJh+lzDiKTNbj12vXIrpekem11JoO6i4AhYB2/nelFcHnzv6FY1pdGurgEl8VtOa Adin5kaH9X09m7aN0x+SjEC7JQhcuxPg1sqr1IO3pN/G2HbdAqlDqVYjau3ZBewMKi2pHuxc QfTMI8Z8Ct3tctKeyvN3dsuJTIPtgL8TLl8RVAHDCN3vECSBv3PIZ8LtF4g8Bz3CTjAwneD+ P3N8hfScKPGcXT3h3KHcevpoZ1zd6rnMn0+Pz39/cH5TQl552C+6vLc/ntGHm5DYFx9G3ec3 a3/Yow5oD92Q5MpqfFLDoM63HR2451reprSaWQu4vjfksnfNnOpDd1Qvj1++WHJz+x3YJg90 pM9W+hJ7dInVjIoC/s7gHM5CCtZmWE7ZO8iWr159jYLXRe+LfublXqpz4cQK6siffFX3E9eQ cFSFPMX/FewgzBzhGhkLwxL6g2W0FqRRplUcUJY2jUSslkIzP8NUWP2q5/KgbGWJ4ZP4uylr SilWKKl/Qv94keu+DTamCeh+apGWjE7jm5BVZlWroD2VKUceTA6Kl2Wmj/wAnUYqb/0LUzZ1 qsFm8+xgXMUibMiqBAd9xhNpYnPDlIjSR8lAtjngJ0hvptuG1QKLkhfbMmm4IfYJ5b0oALY2 Dr0iqRvrGx1G3djFWKJJD6khvo+oubrZ9bJxMyIyYM1qdwAk17pTRk3Rkg3DEDw9Pjy/acPA 5CUDibw2pV/4YT2MGkarKZkINZb7UzQN3q6YRsLKY3yr4JQVoeVjfA4Dyqf5mY9uVvqEQ2z/ fGtmpiJJzFlhz9UBjrt9RT+h0qmCbin33ntmk4d+PNWdU6thDwtXqw0Zo06k2PeBEI1pmq2c 9VG/Vy5YqRzeiu6NyQBuPekV8o+lBS5z1fe+Nn8VohWeYXuV0nIS6cjwWZ2y/Saw0oylpmNo i5tGMSfPW43oSmh2LV0Qgx9NICITUGDSiwPPRGlolYgKMVJ1i6KmGFohdDdiBMBZE+TSsz6B DhLDxb/xiYxXtF1alStP5KaJuDRau3pIxghNWFDRKDSBFkmWi7x9b6VDDW2rh6h8BgQYNjQz /hoiUuvpZD8ny5tmfylQI4NDFmaIYRbGjZkKsq2hzSDX6tVUyrPTBGhZfEZoJzGQfdxRncNi Lgqqwu/x9eTMFO1IRFacKKtYX+XUzNymgXs/0M5nhOwHqJ/WYPiFhjxDUomCMxn6TiVZF3mV 6BG0FbBshR0dZpNYHa1gMF9tkFU9BcPLLNkZmUfP3i7K6v3L9fX6+W0R//z+8PLv8+LLj4fX N8P6PURBfZ+0/+ah5Je9ae2XlRLniD6hjFk9rCkEma02Rt+NINFMN/BDPZ3N8+NJWyQ9ISxd DlupntZHSesdk3GHG6BDLjV6JzTodisy/blGZOW+0jBS+N7KmUX5zkz1AOlQVi+TxNTrTRwZ iUYjCcKAb/QnuhbOSF2t49QL/CYo6EYNmbfGkesTyZIFLGcrDXMOftHrRCZJDdvl1ElJY0l8 KwuR6Za54Ol6//dCXn+83BNuwpVIQavJtbOshcBBvedGY2UZ9PtPr3CgiQ7fusB0r9YrIwcO +dWhIBPJPjfaN6RjSGPKsb8Xp61SHSN1YUCdGnhE2cmLWiCRNqoNrv/w7fr2gNH3qWugkuP9 IfSNJRr3ofanhVum37+9fpn2fVmk0lAUFUDJHpQ2ppBKcD+ggWAcBxuDABs7nIFjZY1KaTse uk7dinIaI0JCsz/In69vD98W+fMi+Pr4/bfFK9o2Pj/ea1be9on6t6frFwDLa2D0ZP8WnUC3 5YDhw1+zxabY1jfz5Xr31/3121w5Eq8Isrr4PXp5eHi9v3t6WNxcX8TNHJNfkSrax/9N6zkG E5xC3vy4e4KqzdadxOvjhbctk8GqH58en/+xeHZFagHTpIZ96KRPCKrEcOf8Xw39IEyrjF1R yW8Gbaz9uThcgfD5aoQQaVFwdp77J2R51tpSDPVIIyt4iXsFy4KZOCc6LboZSThOKWVKoxvS IWuqns4GRE+QL+32TK42xqY3/Mz1xxC8rgJlZlMM+D9v99fnzvYwZdMSN5FkcEYvbSaWXbgD 9jllKYRnRTcfMfOZVUeaWfNqR1JUmZ2EwiQoq+1uY8aq6TAy9X3ybX2H76/VtVMH9uDSUGWF oH1PsopMl5XyphXy2kQHKe8euU1HAUkDtnPwja0hdgO8ksJZkdHpARmxIzc+cMVQluH0QDmn AulBEfcnKxgLzs0Pw7QPP9BgEBmCKwLnMokjjlUpqN0xKLnBlBtan6IqtfmpGxfqpgiR6mJC RbVvnVFA18WIJVMPW8Cg0GBay0CqIa+uWYjnfq9T9x4rNm9tLsASPs56mZRcqlRmfea+SZ8X 8WUhf/z5qna6scqd0o3BbcaO0oDdE14DvQ8wGEvGcAq7XcmxN6FMdxnfVHlZwk5BdatGFb7D QbJkxv0KqXAwRVpv0xvbU8YgS0GsTMaGzNIVNWvcbZY2sRS0hdCgwtbPf5MVRZyD0pqG6XpN PixDsjzgSV6hTSTkRnIPc7iGIv9f2ZM0t40z+1dcPr2DZyZSHMd+VTlAJCUx4mYuluwLS7EV R5VYcknyN8n36183FhJLg8k7zMTqbgIgCPSG7gay/MA6dg8m7sfeHL7uDy/rHeywl/1ue9of KOtxiKxTspix+eCl3TMStns67LdPmoMzC8tcDzeXgHYSgwAsYS0HPpxevsl6SrnBz79s8fDp 4tu/8o//7J7EX+f+/vTCU73SJQfeyUWmHT9md8aRCP/pciMJLtK4rUJGZynJxAZ5naMzffPl 2emwftzunqkAt6qmvKXCZ67H7CuI7ejp4LOacg926LRqqMZqujHielQVW+e+Tef6L8wyDdL2 KfAD+a7/xWfadFYq4uBOs2I50k7Ll4SgqUQPWtJ+16vUEQtcUEHeFAl5jsibLqNZbB5N5lMd Q35tjg+ndJr4tCLDbzBYGQay6uv+81rRrz82P+mwPbzMlIWzjzfk9XCIlbqF8YRtWvd+JKI3 TfHL9XshqljPE8VfKJWc/qokTn3Sit9sGAzk5MJ3QRISl+ZVTb6EpVKInOItGDSCi5rqCcOi STUoNBV69OmzZMDFueHiBd1t3JoMQILaFatresBA8R4oaFXwstU5ngQAo6+wnkKQWD1xZBUF TRnXtCDjRD71iCMXTRbXdiL/50loKIL429sMjCGdBCyYG/uqjOIK+Tf9qp85QuvQeksNrN7P GM+UOOg0sJjpFWOIFL3kVs7Aet/mtBrTg84DgTI4gIS1+TigdY6OorO8MNWr8q3njhzfwD8K WQmOVYsk1/zSOlKf30ldWjOuINS0dzj4pqBl4v6c2Z+goykbsG4YLKL71ncUKGitw3ABBHMz MkOo+4ajKcYtxFN6aWdx4v1S07F6257VjuWcDj4h9q3znD5NNCOXVIObkROJKR0YA1b+gyn/ LO6m1qSb7CLIU547RiKTh5wCXrrAh6oOyedL88gYPxyjgpXopSOKg9g8UcBknHRekC8fJ1GL eOOcBb0jGMd1b+P18YFtUN4XdUxXBaj4ItKjbjqQdqu3g5o0MUhhWNrxLGN1U5InTdOKOBoX IFK54hjOCIxOmfeR2yavtcMi/hPPlLj7k8vNqeHKKUoASrIlKzNrsgTCx8gFtgZNSetxmtbt 3cgGjK0xBbW2BlhT59PKFGUCZoCmDWYyaoBAJI8pmSzO/Cx2e4d3IN9b+0eI8vXjN6NkTOXI JAlyWatDMQfZkc9KRinbioZYPAKRT3DztklsaybqPZEK1zOdPyFfRLxU+BfYCP+EdyHXXXrV RS2pKr8Bg9Kapc95EnsSKx7gCZL5NOFUtaLGQfct/IJ59c+U1f9EK/w/GPXk6Kac22q7uYLn DMidTYK/ZflTXnWswPJDl+8/Uvg4xyOEKqo/nW+P++vrDzd/jc4pwqaeXussyu5UQIhm305f r891RxuhNih1c2hGhBl+3Lw97c++UjOFRy3WR+SghccO4kgMldT3HQfihGEaZGxEv3JUMI+T sIw0sbGIykyfCGXPyp91Wphj4gBaFBoUSoqq7x6l07ANysjIvhf/9IJauSHcaeraiSsR0yTC hrSR5iWG1ThCn4V+PY9N/biICxRaSs+dXgAiEuXoxiaRv6OJT0GOpraC3OmeFkTyIa1SdYdZ giQD5HTq0TUFYdWkKStplaVryrFnDAJNJwHxjpLYGeiDKBFltQz6xkC/JZ7RDuGbSUxb3XJY vLZDlmdDjQgiEJy5V3HTCav4gdqQOsmU3eVNaahiMFDrgyoIVrbDA55QTCJBIBrqfW4KjjNK MfIOLzQ860GGc0odC7sd+G3YfvBNPY8yMLOYR/0KQIaau0VAhC5IB0FJitQcfnXbsGru2Ud3 rkHX8QysLmpIIQlpQa+L7yKivFqe+nfsvPDjbrPV5SD2yo8tiU4V8wZdRA+NEb9RXiXos1Cb zxAeggSWTof2Noz2wXAjl/PgD5rhd9j7m8Hl+AetaC0Mv25XJZ0csUNG++bdkVP09Ai7AZw/ bb7+WJ82507D8KvKyfokksCOjJBgWvFUE5ln7mKY6MFWPQz/g0326fycwC0wYAL52aerSwKd shWml1VgZ44JdKE/3e/S++qOXsWNIzcFREgpzwOWzyAqbSNCQXyUrkHfYYbUmI5I8z7ZqIe4 IKDStyP0sCRO4/rTqDs0iOplXi5oFSaz3gx/63YW/22k+guI5w048vLTi0leLVlB7gRB3tKl 08o8r5HC+6S0fLx4tPRkJkqYUYtDEaFCGiVIZL54GFdskkRgpRRU2j2QUGUXwIALIoyiiHPN 18EFj/UTp8ro0E4Wqpqs1I+pxO92BoxKm2IJ9RnYQVTMrT0gQc70mWjaA6yQao22CZtE1FoI YsPMjpV3cWwBMW532cYZbzDq41B1miW//GSJ9QnmFqopsBSSMcJ4QHXkSGvb9rCx045MlmnS AksI0YtREHZj8fVK+AY4HBe65wQiZDRbY9a2ZdpLabYGuUfsR1qY9ko3224Ko23+0xk5h/7G PyloKO+kWvN6mg/86IWba1ojWtnmLdjm5oMd5uN7I6/OxH38QDMLneiaDLWxSMbePq4//FEf H3/bh17Uz8KM/L1f0eEAFhEVZWKRXHp7/+DFXHkxN94R35B3rJokZlqq9fgfvPDNJVWn0Bzi R+uF4yrHBdhee95pZFxlbqOcL8RTfrwjVZ1RVxvoeGfZKQQdY6ZTXP6Wwr9uFQUd9a5T+Ja1 wt/Qk2zerGlgfj/uERXvjQSLPL5uS7tlDqULpCMak+/AKiKrVyt8ECW1mSTUY7I6akoqdrwj KXOwAPUSJR3mvoyThG54xiLADI4ai03R5bEURQwDZxmls3QUWaOXAzcmxDJXFa5uyoVVutag QTco0WOYGAFw8HPgbLXJYtxd1OlG3i6N6DXjsF0EVm8e3w7b0y83WxEFuu6WvMfjv9smwtQY W95hoc4YlOesRkLMy/H41mRLlJcSy2tFoeq2tw3ESZLEEA8CuA3nWNtb1BY0By0SJaUzxEyv USpamEYVj8+ryzigjEzX4FAQw1Gr2pMmBYExMqTdgShbZEWXb+zoCmaUAsXYJX7xXxaJTHGs ac8Vx0DWW+g9JTYZ+ZX4QX3AadB5Jgqx0pRqSFXEK6YOjbqC/bAg35tjMA4omzW0KWSRsqKI slCcAyb0SuueqPM0v6dYTkcBrTF40ZL4YAplqdY0nvJ+uJQ+Q8Sl7MNAyBbxNsPC42vtiO4Z mZ7dzyebYlyqHgmodQBWWL7M2qRKPSPoCdqIlQm9nPgJM6eTpuQ0LwPXBzxMTQY8eGg5Fguj xyzx+Y+79ijuK0+d/EvXoVAfjezLoQ7JvHuc5nPMXXra/7u7+LV+WV/82K+fXre7i+P66wYo t08X291p84wM++L4sn78fnHc/Nju3n5enPYv+1/7i/Xr6/rwsj9cfHn9ei44/GJz2G1+8Osa NjsM+us5vVY+6Wy725626x/b/64Rqx1n4iIEjgAznQkvlzaHgMozwWq6tyR9zooUY/40Sl02 ecah0P7X6BJFbFGmOl/BZuK+bd0m5Mn4geHEFbA0SoPi3oaudP4gQMWtDcEiAFcgSYJcu3ia iy88LhCnx4dfr6f92eP+sOnv1+xnWxDDjM5E6hgFHrvwSC9IogFd0moRxMVcr35rIdxHLLdC D3RJSz1QpIeRhBq7tAbuHQnzDX5RFC71Qo+JVC2gp9gl7RO7Sbj7gIwXIak7z5gVwSepZtPR +DptEgeRNQkNdLvn/xCfnB/9GCqyxNhZiuL0++3Lj+3jX983v84e+bJ8xprmv5zVWFbM6Sp0 l0QUBASMJCxDoklgjnfR+MOH0Y3aLOzt9G2zO20f16fN01m046OErX327/b07Ywdj/vHLUeF 69PaGXag14FRk0/Agjmos2z8rsiT+5F1a323l2ZxBZ+NPBkT2ye6jZ1ND286Z8D67tQLTXhq 6sv+SY+KUcOYUB8umFIHigpZu4swIJZcFEwcWFIuie7yoe4KMUQTuCL6A717WTJ392VzbY6t GcYDv7pxvw4eYXfzN18fv/mmD2S0y6Uo4Ip6jTtBKW/+e94cT24PZfB+7D7JwW4nK5JtThK2 iMbu1xBwdyah8Xr0LtQLfqiVTLbvnd80vCRgBF0MS5Yn47hvWqahcV+ZBtb9cT14/OGKWGOA eD8mE+nlVpqzkdMaAEVrDvjDaEx0AgjKj6ew6Xu3KYyym+QzorF6Vo7Imo8SvyzEIISE375+ MxLmOh7ifl6AtTUh57NmEhPUZeB+RFBslrIWBI1wzk3U0mJplCQxwYcZmvi+h6raXTQIpb50 SEZoSuSU/+vyjjl7YCH1RcHUY0PrRvFx98saZW07YFkYSbLd0nDnuI7cWQJTnZx2Ce8nUCyK /cvrYXM8Gqp1N0v8FN3l0Hq0ioRdX7qsxogl7mFzdwPL8BNRGGC9e9q/nGVvL182h7PZZrc5 KM3fkX5ZFbdBUZK1SNRLlJOZVW1Fx5CMWGAoNsYxlHRDhAP8HOM1KRFmVuqKu6aqtZQ2rRD0 EDqsV2PuKCitt0NK3dxZzZ5UAk29RneRbTf82H45rMFKOuzfTtsdIQbxFkeK03A4xT8QIaUP VeDJpfIPGonEJnTviHJIaFSnAv5mLD3h8HBCz1QoOQm6LYZLjIZIht7FK2/7FzUUS5eoE2z2 a86X1LlkdZ/i7WZxwJ2bWJPdMEIVsmgmiaSpmomXrC5Smmb14d1NG0Sl9J1GMgWrJygWQXWN IXp4szpvo6PoQ1Nl6970LWzkoyq8RnbxkVsu2EoPR7dfhNd6iAQEno8iHbzdbtkcTlgeAoyD Iy+Setw+79anNzC6H79tHr9vd89aSeg8bLB4fcwdxp/OH+Hh4z/4BJC1YB39/bp56U5aRZCI 7q42y1C5+ApDffRoHMRHqxpzJfsZ9vnx8ixk5b3dH+XTEw3DLsUbSqraO7SegnMZ/EuMUAWZ /8HkqSYncYaj4zkOUzX7iZdJCQdJYVSpU7B2AqYryImSqvmN5cVY2fKQYj0OjVnJKZMYtDis xaatZZUsn0UYdh7rp+pBXob6zsZLViKwudOJcfOYOFjQ763qEvB5Jf/UtHUCMD3j2lAtgtGV SeFq9UEb101rPmUaFvDTTJI2MbDho8k9baNqBJfEo6xc+pagoIB5pdu9spsjC2yVgRaRAFzP NaUCza6wbSfWhDFx7aC4rNicE4my4h41KGYU23CM2kVha2phD0J+WFA9fNOEUi1bYZw9VIve NKnJ8elhmhaYol89tMbd8OJ3u7o2xIyE8ooFBX14KklidkUfNEs8K+ms+h5dz2FLDdFUwPwp n7hET4LPxNA9pbf6KWlnRkCghkgejMKuPWL14KHXdHG1+fUjNrUmwdRoqzzJDeNJh2KrOjOY BHPjBw9QxcqmJdNDESdmDhjPM7tjiZUaxqoqD2IRQ83KkumX5TGeK60XTBAgXkjV4GAINwrf Zjh+XsuXFa11YSOC4ZUSxmNr51wP1wak7s3h/nGkneaqTsTvqIKiIUh4Qd8yKojOVKHk1rgm G6FZnilyqyQoL0EdOaBAKxC8+bp++3E6e9zvTtvnt/3b8exFHFWsD5s1CMf/bv5XU8N53eqH qE0n97A+P42uHEwRlRgJgVlUIy1FpMNX6H7hT9MMWafr26LYrtFibAQomDgymxRJWALKVoqz rN2hgxOEpo33KHOWiL2hzemtLjyT3Mg7wd8dEyfjL8zcpW7/1XkaB3owVpA8tDXTa4OXt6ij a52nRWzcjB7GqfEbfkxDbVHl/L67GShJ+n2UFZZ6ybVm+QlZGBW59mgFUtNYWXhGqMe25JPP bKYraDUqbGQhFEenMs/2lErLoa+H7e70/QwM/LOnl83x2Y3t4Pragtdb1D+EBGOYJqmvByJ2 Hu8cTEDLSrojnI9eitsmjupPXSy70vWdFrR49fA+Y/BdvcvLwFtHeGDaTHK0fKKyBKpIn0Lv tHQemu2PzV+n7YvUc4+c9FHAD+4kiv6lke7A8JLEJtAdTxpOyZXIqjPXEVRFEtNhrxpRuGTl lJbMsxB2VFDGhSepNsr4CVXaoKsP09+JeZ6CBIp4yjLwqbGeUADLtABZg8V2Ul+1KxbyHoCK aHoeYXGtCuOaa6bvTvF2lUi0x+TClNWBGXlhYPjw2jxL7i1RsWTA6sUbFDmXlnpGqw63Oxcx BCKmOlJSqDeO/nSZ8EXF3WrbR7VPw82Xt+dnPLyOd8fT4e3FrDrP7+tEK63UTpY1YHdwLr7e p3c/RxQV3smo2youDk+rGn4bV5+E4haoaCaVGdTGAXiFBHWvqUBOsIKn3QZPEnUb6mQLuYK4 3c8JTbS6fvlPZtZ8NxEj4m44HJ1zNiqjEbp2Nd6J/Auvx8oqq/SQaA7xXPrR6U34dL7MPAFV HA0LE+/O9VzX2feC5TgGSETOO70/5T5LGHXcxyPK5JyBwpjAVrA3ye/gGEXBJaRIRxpdvXv3 zu69o/Xq8QZVFzViluC3qLCoAXA+MkJVvjSPZWlQDGl8BZhgKFEYWsZ5otvNHW3oyHXEq0Py UBffpHLWtDDv4AsCrtdyKOFrFFiMC0TVIMt5XRdU3PA+Fyutj7dBhUjytvnbfRo5ETf9Grcm ai5qH0otGIjO8v3r8eIs2T9+f3sVfG++3j3rigWMLsBAn9zQwQ0wlnZqNJ+rQKIukjfarQ0Y sNMUMJYaVrERnZdPay9ykuc1t510Mt7Dn9B0Q9M+LfbQzhuY/JpVlJxc3oK0AVkUmmeHnIGJ xkkONjyjIjgXBMzTG7/HzuVDYslayToCKHWSXmAjlKiwoQKniG7sxY2fZxFFBe17lDwJbNG0 6K7PxJfSGPP/HF+3O4x/gPd9eTttfm7gj83p8e+//9ZvocrVXYIzrgp3iWWdioq3nxBFZwQC b9/lTWQw+/RYORonw+ZdaAY3dbTSHYxyJ/R1zc0dT5MvlwID/DVfmsG6sqdlZeQZCigfmGU3 iYzswuVEEuH9FsI2ghFEvqdxevn51sCFMXxIsL+w2E5rutj6l6Sslf/Hp1cN1jwzEK//SNhM j6tGtsWR+ntwvQ8mCy+RjKIQFr1wBw7w54UQiI6oFxvxu1AkntYnsOlBg3hEh7ej7XNnuSvy vXVl5PoZkuQiQJ2+PoSL8YzfRoWGTtkUdWxGTQ4O3u4qAJtEhMW6tXrKoCG1HbGtgsbeggBS s6E+oLlOelsAKLFstiPnDQr9aWImkARU8ZbbC52wGI+sRnCZeLuIbskSdaoovTEB1o6+lWZB 2RsEBoEoowVaIfq26JdEP3IW3Nc5tWnxkmc+eE2UcY1h2mTC4iGxWG6GzwciuT2jl4opRWE7 g3FxB4OoP9IDeblwTm8cpsA/Nb6SuNbZGYFk9+hi8fZvtCcBVLbw1P/lKoaF2d0F+/O02R3X xpq1ZVYykWXwKNYWwqSDBp3oFWWr9+NgFBMHCqKIl9APge0CS+cZ9nLpOEPRnTP15nhCJoiy PcAa9OvnjZZlg0H+fT8i5p8PXzfFjFQAAxat+PQ4m05g+dqweXufgCQ5DzpL8rIvcEf5Arwl 8FicoBlhfEyACQPFsYN0ipQtIpVSZDaIiUtqi9vtTlHo/H6Euj1rNiCuaua9krNiN9TLHzxv rmnHmNDSYbEF+Z3ceHpqetlkvMZLLbQSFSjT84ZFWNOiS2iReFhb+YrDcJI0zvjNbH4K7/OT 7v1w3Q9waX4GMYDXTzm8VMbJhZ8MHdvA7j3SQHl+yeNQPRbf2z6fknm0wtz1gTkTDlmRAUVm rUmqSqQMmE8vAFHn1GLl6O7Q3HxKOI39YwI8bNok9FM0TTyAXfGDIT8e6/lNQXH1U5R4PFuj C2pgapkn65Fj45C+rUzMC/eSD+yGxcBWgdmxilma+LvU75sRk4eBW97UONFHQbtdBBKjK+bo A7cqKfUMJs6w7nk9GPDA25rGZQqKbuSsEVFmjg4CAQQpL0RMCInQYiscQSImJQQ5OTAjMmPQ WwNCsKgoDRh8Xt/b2qchqmU0VWJ3TNCcx9UCGNsgGZTFToqROE35P082xqQu2QEA --FL5UXtIhxfXey3p5--