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 2697AC433E1 for ; Tue, 25 Aug 2020 07:47:23 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id EF11A206EB for ; Tue, 25 Aug 2020 07:47:22 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1729446AbgHYHrW (ORCPT ); Tue, 25 Aug 2020 03:47:22 -0400 Received: from mga06.intel.com ([134.134.136.31]:35025 "EHLO mga06.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1729469AbgHYHrV (ORCPT ); Tue, 25 Aug 2020 03:47:21 -0400 IronPort-SDR: qouIUtmxip9GjC7EeMjhuOUsa0qIugo63h69wqC2y0twlxf6t8CVhNNu2Uf8mokgHYw8axfQGY w5YyRnQGVumA== X-IronPort-AV: E=McAfee;i="6000,8403,9723"; a="217614257" X-IronPort-AV: E=Sophos;i="5.76,351,1592895600"; d="gz'50?scan'50,208,50";a="217614257" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga001.fm.intel.com ([10.253.24.23]) by orsmga104.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 25 Aug 2020 00:46:55 -0700 IronPort-SDR: iQDPaUnkwjDojtoOPj1P1Kt+y4l8j6Sf9WKUlXmoLkxXvSmXZWZ/x2D80MNNZDZzviNruLxcJL 01UGVPxjXOKA== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.76,351,1592895600"; d="gz'50?scan'50,208,50";a="402634871" Received: from lkp-server01.sh.intel.com (HELO 4f455964fc6c) ([10.239.97.150]) by fmsmga001.fm.intel.com with ESMTP; 25 Aug 2020 00:46:53 -0700 Received: from kbuild by 4f455964fc6c with local (Exim 4.92) (envelope-from ) id 1kATfQ-0000Df-DG; Tue, 25 Aug 2020 07:46:52 +0000 Date: Tue, 25 Aug 2020 15:46:03 +0800 From: kernel test robot To: Qu Wenruo , linux-btrfs@vger.kernel.org Cc: kbuild-all@lists.01.org, clang-built-linux@googlegroups.com Subject: Re: [PATCH v3 4/4] btrfs: avoid allocating unnecessary page pointers Message-ID: <202008251520.7BlYeWKi%lkp@intel.com> References: <20200825054808.16241-5-wqu@suse.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="9amGYk9869ThD9tj" Content-Disposition: inline In-Reply-To: <20200825054808.16241-5-wqu@suse.com> User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-btrfs-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-btrfs@vger.kernel.org --9amGYk9869ThD9tj Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Qu, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on kdave/for-next] [also build test WARNING on next-20200824] [cannot apply to v5.9-rc2] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Qu-Wenruo/btrfs-basic-refactor-of-btrfs_buffered_write/20200825-135114 base: https://git.kernel.org/pub/scm/linux/kernel/git/kdave/linux.git for-next config: s390-randconfig-r012-20200825 (attached as .config) compiler: clang version 12.0.0 (https://github.com/llvm/llvm-project 77e5a195f818b9ace91f7b12ab948b21d7918238) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # install s390 cross compiling tool for clang build # apt-get install binutils-s390x-linux-gnu # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=s390 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): include/uapi/linux/swab.h:19:12: note: expanded from macro '___constant_swab32' (((__u32)(x) & (__u32)0x000000ffUL) << 24) | \ ^ In file included from fs/btrfs/file.c:11: In file included from include/linux/backing-dev.h:15: In file included from include/linux/blkdev.h:25: In file included from include/linux/scatterlist.h:9: In file included from arch/s390/include/asm/io.h:72: include/asm-generic/io.h:490:61: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] val = __le32_to_cpu((__le32 __force)__raw_readl(PCI_IOBASE + addr)); ~~~~~~~~~~ ^ include/uapi/linux/byteorder/big_endian.h:34:59: note: expanded from macro '__le32_to_cpu' #define __le32_to_cpu(x) __swab32((__force __u32)(__le32)(x)) ^ include/uapi/linux/swab.h:119:21: note: expanded from macro '__swab32' ___constant_swab32(x) : \ ^ include/uapi/linux/swab.h:20:12: note: expanded from macro '___constant_swab32' (((__u32)(x) & (__u32)0x0000ff00UL) << 8) | \ ^ In file included from fs/btrfs/file.c:11: In file included from include/linux/backing-dev.h:15: In file included from include/linux/blkdev.h:25: In file included from include/linux/scatterlist.h:9: In file included from arch/s390/include/asm/io.h:72: include/asm-generic/io.h:490:61: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] val = __le32_to_cpu((__le32 __force)__raw_readl(PCI_IOBASE + addr)); ~~~~~~~~~~ ^ include/uapi/linux/byteorder/big_endian.h:34:59: note: expanded from macro '__le32_to_cpu' #define __le32_to_cpu(x) __swab32((__force __u32)(__le32)(x)) ^ include/uapi/linux/swab.h:119:21: note: expanded from macro '__swab32' ___constant_swab32(x) : \ ^ include/uapi/linux/swab.h:21:12: note: expanded from macro '___constant_swab32' (((__u32)(x) & (__u32)0x00ff0000UL) >> 8) | \ ^ In file included from fs/btrfs/file.c:11: In file included from include/linux/backing-dev.h:15: In file included from include/linux/blkdev.h:25: In file included from include/linux/scatterlist.h:9: In file included from arch/s390/include/asm/io.h:72: include/asm-generic/io.h:490:61: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] val = __le32_to_cpu((__le32 __force)__raw_readl(PCI_IOBASE + addr)); ~~~~~~~~~~ ^ include/uapi/linux/byteorder/big_endian.h:34:59: note: expanded from macro '__le32_to_cpu' #define __le32_to_cpu(x) __swab32((__force __u32)(__le32)(x)) ^ include/uapi/linux/swab.h:119:21: note: expanded from macro '__swab32' ___constant_swab32(x) : \ ^ include/uapi/linux/swab.h:22:12: note: expanded from macro '___constant_swab32' (((__u32)(x) & (__u32)0xff000000UL) >> 24))) ^ In file included from fs/btrfs/file.c:11: In file included from include/linux/backing-dev.h:15: In file included from include/linux/blkdev.h:25: In file included from include/linux/scatterlist.h:9: In file included from arch/s390/include/asm/io.h:72: include/asm-generic/io.h:490:61: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] val = __le32_to_cpu((__le32 __force)__raw_readl(PCI_IOBASE + addr)); ~~~~~~~~~~ ^ include/uapi/linux/byteorder/big_endian.h:34:59: note: expanded from macro '__le32_to_cpu' #define __le32_to_cpu(x) __swab32((__force __u32)(__le32)(x)) ^ include/uapi/linux/swab.h:120:12: note: expanded from macro '__swab32' __fswab32(x)) ^ In file included from fs/btrfs/file.c:11: In file included from include/linux/backing-dev.h:15: In file included from include/linux/blkdev.h:25: In file included from include/linux/scatterlist.h:9: In file included from arch/s390/include/asm/io.h:72: include/asm-generic/io.h:501:33: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] __raw_writeb(value, PCI_IOBASE + addr); ~~~~~~~~~~ ^ include/asm-generic/io.h:511:59: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] __raw_writew((u16 __force)cpu_to_le16(value), PCI_IOBASE + addr); ~~~~~~~~~~ ^ include/asm-generic/io.h:521:59: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] __raw_writel((u32 __force)cpu_to_le32(value), PCI_IOBASE + addr); ~~~~~~~~~~ ^ include/asm-generic/io.h:609:20: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] readsb(PCI_IOBASE + addr, buffer, count); ~~~~~~~~~~ ^ include/asm-generic/io.h:617:20: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] readsw(PCI_IOBASE + addr, buffer, count); ~~~~~~~~~~ ^ include/asm-generic/io.h:625:20: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] readsl(PCI_IOBASE + addr, buffer, count); ~~~~~~~~~~ ^ include/asm-generic/io.h:634:21: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] writesb(PCI_IOBASE + addr, buffer, count); ~~~~~~~~~~ ^ include/asm-generic/io.h:643:21: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] writesw(PCI_IOBASE + addr, buffer, count); ~~~~~~~~~~ ^ include/asm-generic/io.h:652:21: warning: performing pointer arithmetic on a null pointer has undefined behavior [-Wnull-pointer-arithmetic] writesl(PCI_IOBASE + addr, buffer, count); ~~~~~~~~~~ ^ >> fs/btrfs/file.c:1571:13: warning: comparison of distinct pointer types ('typeof (nr_pages) *' (aka 'int *') and 'typeof (65536 / ((1UL) << 12)) *' (aka 'unsigned long *')) [-Wcompare-distinct-pointer-types] nr_pages = min(nr_pages, SZ_64K / PAGE_SIZE); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ include/linux/kernel.h:883:19: note: expanded from macro 'min' #define min(x, y) __careful_cmp(x, y, <) ^~~~~~~~~~~~~~~~~~~~~~ include/linux/kernel.h:874:24: note: expanded from macro '__careful_cmp' __builtin_choose_expr(__safe_cmp(x, y), \ ^~~~~~~~~~~~~~~~ include/linux/kernel.h:864:4: note: expanded from macro '__safe_cmp' (__typecheck(x, y) && __no_side_effects(x, y)) ^~~~~~~~~~~~~~~~~ include/linux/kernel.h:850:29: note: expanded from macro '__typecheck' (!!(sizeof((typeof(x) *)1 == (typeof(y) *)1))) ~~~~~~~~~~~~~~ ^ ~~~~~~~~~~~~~~ 21 warnings generated. # https://github.com/0day-ci/linux/commit/a73ab37ebab960522a0b353a6f20c8094ab911c5 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Qu-Wenruo/btrfs-basic-refactor-of-btrfs_buffered_write/20200825-135114 git checkout a73ab37ebab960522a0b353a6f20c8094ab911c5 vim +1571 fs/btrfs/file.c 1548 1549 /* Helper to get how many pages we should alloc for the batch */ 1550 static int calc_nr_pages(loff_t pos, struct iov_iter *iov) 1551 { 1552 int nr_pages; 1553 1554 /* 1555 * Try to cover the full iov range, as btrfs metadata/data reserve 1556 * and release can be pretty slow, thus the more pages we process in 1557 * one batch the better. 1558 */ 1559 nr_pages = (round_up(pos + iov_iter_count(iov), PAGE_SIZE) - 1560 round_down(pos, PAGE_SIZE)) / PAGE_SIZE; 1561 1562 nr_pages = min(nr_pages, current->nr_dirtied_pause - 1563 current->nr_dirtied); 1564 1565 /* 1566 * Limit the batch to 64K, too large batch may lead to higher memory 1567 * pressure and increase the possibility of short-copy. 1568 * With more and more short-copy, the benefit of batch copy would be 1569 * hugely reduced, as we will fall back to page-by-page copy. 1570 */ > 1571 nr_pages = min(nr_pages, SZ_64K / PAGE_SIZE); 1572 return nr_pages; 1573 } 1574 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --9amGYk9869ThD9tj Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICM+7RF8AAy5jb25maWcAjDxbd9s2k+/9FTrpy7cPbSw7cezd4wcIBCVUJMEAoC5+wXFs JdXWtnJkuW321+8MwAtAgXL6kJozg9tgMJgb9Osvv47I62H3dHfY3t89Pv4Yfds8b/Z3h83D 6Ov2cfM/o0SMCqFHLOH6dyDOts+v/75/ubg+G338/fr3s9/29+ej+Wb/vHkc0d3z1+23V2i9 3T3/8usvVBQpnxpKzYJJxUVhNFvpm3f3j3fP30Z/b/YvQDcan/9+9vvZ6D/ftof/fv8e/n3a 7ve7/fvHx7+fzPf97n8394fRp0+bj3fj649fr8ZXX67v7jfX46+fvozP775cf7j6cj5++HQ9 vjq/uPqvd82o027Ym7MGmCUt7Pzi45n9z5smV4ZmpJje/GiB+Nm2GZ/3GsyIMkTlZiq08BqF CCMqXVY6iudFxgvmoUShtKyoFlJ1UC4/m6WQ8w4yqXiWaJ4zo8kkY0YJ6Q2gZ5KRBDpPBfwD JAqbwo78Opra7X0cvWwOr9+7PeIF14YVC0MkcInnXN9cnHeTyksOg2imvEEyQUnWcObdu2Bm RpFMe8AZWTAzZ7JgmZne8rLrxcdMAHMeR2W3OYljVrdDLcQQ4kMcURW4UMmUYglQ/Dqqabx5 j7Yvo+fdAbn3S4ht5t5vhRP3W/Xxq9tTWFjEafSHU2h/QZGZJywlVabt3nt71YBnQumC5Ozm 3X+ed8+b7mSpJSn9laq1WvCSRmdSCsVXJv9csYpFprAkms6Mxfo9UimUMjnLhVwbojWhs0jj SrGMT/x2pAItFaG0u0wkDGUpYMIgullzJOB0jV5ev7z8eDlsnrojMWUFk5zaw8eLPxjVKOg/ Ymg680UaIYnICS9CmOJ5jMjMOJM4uXWITYnSTPAODcsokoz5iqGZRK44thlEHM1HlUQqFm9j 6dmkmqbKMnfz/DDafe2xqd/I6qJFx9kemoK2mLMFK7Rq2K63T3ADxDg/uzUltBIJp/7uFgIx HFgQFTWLjmJmfDozcAzsJKUKaerVHc2mmQycH5aXGrovAhlt4AuRVYUmch2Xf0cVkcmmPRXQ vOEJLav3+u7lr9EBpjO6g6m9HO4OL6O7+/vd6/Nh+/yt49KCS2hdVoZQ2wf3760I0hRE84V3 10xUArMQFPQDkulhjFlc+EvH+0RpolV8yYpHOfwTa2svHJg4VyIj9ZGzvJG0GqljYdHARwM4 f4LwadgKZCjGeOWI/eY9EC7P9lFLbwR1BKoSFoNrSWgPgR0D97IM79XcVymIKRiD25NN6STj 9rZt+Reuv9UUc/eHpzvmrYSJ4Pzw+Qysgt4BaC9zvLlTo2Y81TfnZz4cdyMnKw8/Pu+kmBd6 Dtd9ynp9jC/ctqn7PzcPr4+b/ejr5u7wut+8WHC9qAi26drqa1WVJZg2yhRVTsyEgDlGA0Gv bSmYxfj8ygNPpahKT1OWZMrcWWOyg8IVQ6e9z+Z+C2Bz+J93PrJ5PUJ/RLOUXLMJofMjjKIz a1fU0JRwaaIYmipYaZEseaJnnnToAXIHLXmijoAysWZTd7E6cApCf8tk9PjWJLNqynQ2iYgK iINi2mctyBkOX2Mi4yVswWns/q/x0DBUQG07uIU6KFojcHGBWupgFcqG/62YdIBOIcHUipjQ F0z3SIGzdF4KkCa8L8AIj03a8h8sCS0aEfBNIdi8hIFyp0RHrS7JMrIORQnYY40w6e2q/SY5 9KZEJSnzDDSZ9GxoAByZnwAbND0BN2B22lYiNuuktpt90lulk2g3EyHwYsO/Y5tOjSjhKua3 zKRC4l0P/8vhZIdGYI9MwR+x3QCTQ3sWh/sG9U9Zqa3PiSrYY3iZdh/ukvAOOxi+HEUo2FQ4 CTloc1NbN9Elu52PUDTH3RlvgVxa2/jYJglUq3/MrKotcu67gd7xmBCw6NLKN7/SCjzu3iec h57/48A0L1d05vXHSuH3pfi0IFnqyaidug+wBp4PULNAbxIuggtJmAoWNY0ylCQLDuupORpj EHQ9IVJyX6HPkXadq2OICezSFmqZhmeyto06GS7TE9tpL6clAT3RuEtI/wcPtB8KkkWmUUWg mGd8W1XXwNoeYIUsSaJ6xO4cHh3TmtWNoNDx2YfGaqpDM+Vm/3W3f7p7vt+M2N+bZ7C7CNzA FC0vsHud8Vk37/qM2nE/2WNrieaus+byDfUt+KcEeCfnsZOdkcC7U1k1iZ+9TMQuKmwPQiLh 4q83yRNMxOE1iFaWkXA2RR6O5eNnRCZgCsaVnZpVaZoxZ2GAtAjQ/ELGNZVmuUmIJhhR4imn JPQp4SZNeRbYN1Z72RspcMbCME57InLPzrwFh8UkftgEDbkJSlWRcOINi74Z3FmNseVxCTzv uTNhj3CNZzdbMnCvIohAN3nA9rQZu6zAny2nwCJPXwQmoDsiyGbLZY8MnXpL7NkKAtQLtgPT tfTPBjefKy7namiUCjZhwgIFokgBu0wSsTQiTdHEOft3fHXm/dcy7OL6zGOfNRREDpNL4S5v F+yv14XvMjgimbr5GBzuDHhUYoCkOcvlfne/eXnZ7UeHH9+dC+XZ1H7T3K7p9vrszKSM6Er6 Cwoort+kMOOz6zdoxm91Mr6+9Cnas9O2j6n3tmmkBaPj8+hpbFpdnMTGw2YN9uOJ2VwYXYWB APxuFEy0W0uAe3EKe30Si3twAj8+1RgYeALbZ2TY9OJooUO8q5Ex1l1+mIT3otP6MQ2Ze0e1 kNahuLn80EqU0GVWWT0WxIWq0M4NTp/Kdf9A5rQPAXt13oclkiz9o+qgGnQK+Llrf/zZLWxP fAcAdf4xJtyAuDg7O+4lTntz0amYOVsx2lNex/dXHQEuxKSMTgwMX4GZh7iDglcY6qXA3rdj oDGOJlPUMjiln6wCyzdPu/2Pfu7B6V8bkASTDm6neug4+ugqt3jXqAkZ14LyFo2Evxb9kWoq VWagtss8MaXG+9HzEQiY0LO1wsmAYKubD5ddkIHO3aXZkS+JLEyyBt8Vrr8G17Is4IiLRr8X sZjo5wRs5yf/GoPzkVaFjUqrm/H5Vad3FVx9gd1NZ4qiAEMHndlCYfpV3MQL52Cnlbw+fQfY 9++7/cFL7UmiZiap8tJfVEDbnh9G8dz7kZtl77IowSHnyU094mK7P7zePW7/r0knekFVoRkF 99qGOSuS8VtrSJlpBU57PCg5rJ5pnscdkLLMrK12LO/ebW9m6xIcvzTmoLjk0iLvLRMgGGMP kwY+xvegfLiRogrDvC32yPNCIFHrghrf3/WhBv8f6QqtRDTRVsYaK+hGhx0sUn6UWsMJFgvY iQQEfs6C0FtLsbABaTs8F4HT3pKA2RZ6neEOBxMJZ2U3owKAlsL3WhFs5cKX0J5suUDl5vHr YfNy8Gwp12ex5AXGZLNU97rpmgS51bv9/Z/bw+YeNd9vD5vvQA3+0Wj3HQd76Z8eKqSng6x6 78GE8wtYd/4tv1qwr/ed9RoRxj/gkBrwapjPHA1cpTDmWvnr8wdhKbgpHP23Crx/Pi0w9EUx M9DTm+Ds2twvCKiZhCFUt7t9u9pBJdNxhIMaONVpL4JTxyyc6jNMSiFjCTpLFkRLujSg7XEW 3PoWCe4Sxq00n1aiiuTZwECxCag6w95jAWreFJwInq6bqN0xAbgP9RXUQ2I0QbU3hbYBJ1sK 0F+Ayk0ukjrz3uebZFNlCMorXjX1VoEu67MhjD50wQRsH4PbuKrrs1b3R0yNSVgM64dbmjs1 r8yU6BmM4RwidL2jaMyRvEECOsT9dcR9JxAuW3EU7rLoGuqKGwZwiaiODRQbC+IlKFabWG3q IiKMqC9CA0c38AWH4LblyWRfJ1swaWbj8Biae7sLlOuB41GgxYXHHhMB6HNHlyJSbRLod93D gnw2dhujGOjwNkokVQYHG/UFqBwrDJGlWFRjch7JeMadkdbGJzyzIsO4B2ZgwPJKlFdPIrAu hU9VBZMqkosjBOkpkDo4dXEOVp6JMNTOdZGTsm/yxWDdHmlQJLox0OXSC8+eQPWbOy5Gmweo 9mJAG9YPxMWuiHYQZ4ZTuS7bzPSUisVvX+5eNg+jv1wA8Pt+93X7GKSkkaiefmTqFlvfWXU0 totnneg+YDqWdaFtz4toPOyNq7f1cYBNGPT2rx0bCVY5TuysJ6xBAMKxF/Q8xZQnicVma5qq QHxf9OumLdLvuVHq8fCEa64kbcrphpIRDSWPh9ZrdFMcNLwAjLMtTc6VcvUDdfrN8NzGyvzJ VwUcaDhG63wisvj8QTzzhm6OwffBgZVLy2dwQfsp1knoiGHqDIxiGwzsnU9EKao4qIrPVWDU dKlbOCFo/4QoTMVN1DQKdMVGPTjayFPJdTSlV6OMHgeufkOAEdqBBFpNAWaG0Drr5Uj8peQJ uvHu1pH9QZaTuMvjMYFjlQWc9fXQAA0ZFX02unhsqvqj4v6KksRFEwlc0WOjYUCQfUoX6bzb H7Z4ZEf6x3c/ugnr1NzafSRZYMbQt8HAai46ikGEoVVOCjKMZ0yJ1TCa02DJfTRJ0rj89wlL sWQSHNmfIpZcUb6Kk/JVRxilECqNUzQ95HD7BZzrOtdE8je655P8ZPc5ofHOc5UI9UbnWXK6 czXl8c7B35dDnGnaVlF5mROZkxiCpTwGxgLIy6sYxjue3gSbcFlPyP2zlX/GGE943gCGNpx1 vl2oSHT1M0EKDyi5qMOY4KYMBPo8qvl64pucDXiSfu58TvgwjTLolaAgqley0cWSgkm257it qgNviYc5IIJRF+/4qWLcsyZqBaJKLG6W6/BaGKIwk9kJojf6+LkOwnrKQRJFjqKOPhlaBicn 4whOT6emOT2hjqiudonT2mLyk3y2FD+BHpxzRzE444BkmIWW7BQLPYLT03mLhT2ikyy0ZWGn eehIfgY/OG2PZHDWIc0wHx3dKUb6FG9M6S1W9qmOeFkVb56QNoNLtMAIisy9+LK19l1juEzF svDVHRiC4PAMIO2UBnCdV+YKRWAdpCwthVXH7N/N/evh7svjxj6mGdmCCT/AOOFFmmt0dnud dggbpPM4AaAwOliTKip5GaTZagSY73ETA7vBWE40BTA0dT+Pk989333bPEVjm23CxrsmuxTP CnMvLIZawD/oPvezQEcU/YgDy617YFMz5hiP1fRmWoWFnZgH8uuMQ8xRFimE11MaRDeFQaJ5 4tNdz70MVMwyceknm3pyadAPvfwpHbSYbCGKZHgY4o4DWHuS9GMdGPQ0vcIKy0uSJNLo4yzu RFRFtKhzrrxNb7hgNzXnhe3u5sPZ9aXvGB6Hm+ISmzGw+QkYH1F0KmEVGHqOFR0GhTBg3nWG Sh8YzeUgFmZI1M2nBnRbCj/TcDupEj/BdnuRiiwWHbi1QQafzw2krQcBZpVBiK+lqF3WdhTg L5MSPW8bK3abj8WjkYFt5NoSYMxsHgzgClQWDF+eeQLAJEYMbbF/B4VjZCbgvc1yImMhrlIz F/gjQYxnWGs0PRSsjTcVm8M/u/1f2+dvnm7xRJzOWWyJcE94nht+YaIzDFQALOEkHhrRA7GL VSpzGwOPPz1hGLWLudC8oguPQ6n9bk1qXoTl0rx0FaiUDKQxgaDxe20ykMXqzICoLPz3SPbb JDNa9gZDMNbqxmsEagJJZByPq+YlP4WcSiyNyatVZJqOAgtHXLjQK6UFF12IOWfxvXANF5oP YlNRncJ1w8YHwG0xZDaMY2qAY25qqJ9j+4LYdrk+EMWxB9K0bMBh91VSDouvpZBk+QYFYmFf QGWI+LMlHB3+nLbSFisRamhoNfED/I3Gb/A37+5fv2zv34W958lHFa0Oh529DMV0cVnLOnqN 6YCoApGrFleY0UxIPK6Gq788tbWXJ/f2MrK54RxyXsarrSy2J7M+SnF9tGqAmUsZ471FFwlY duBBJ0yvS3bU2knaiamipimz+gXxwEmwhJb7w3jFppcmW741niWDKyNujLptLrPTHeUlyM7Q 0cYX0phFw1vpJA2YNTZeDNdaXg7VnwOxy8TFw5jlCSSol4QOzJPj+50BhSuTgcD50OtaouOl K9n5wAgTyZMB22qRkcJcnZ2PP0fRCaMFi19KWUbjtZhEkyy+E6vzj/GuSBkv8S5nYmj4y0ws SzIQmWSM4Zo+xosWURfaUFZ8yTRWVZ4UCt8GCXz67pt7E9gMYsPS8RBsyYqFWnJN48pnofCB 7MCTSpgn+BDzYa2elwNXmXviFB9ypoatGTfThMUXgxTZBVipCrXyENVnqYcHKKiK6ULpFw7J 1D4/9a/LVRm+H3BBR+ywlDz+Vt6joRlRiscUqr038YmjWvcKkCafA+OkfuYx0EWK+TL38wmh HTvCMiGXKw3YUM71lMVl117UUsBVKcCcFz1W1jb1Ufc9hG8/eywZOC4kBSbIIWWTmjmN65sl z0k8NyHTOY8+oMHVXfvVvva7C3AHbLiu48rx/SU8bhRQVs5gM+IKpUgHfrBAwZ0w9MIcrbs0 jotdW43GUCB56LR6HpQUML0sC4Q5JTwTi6hJz/RMg7PZKIJebIN1b49crebm7+39ZpTst3+7 xIBPHKQV+h/17wSEzycpt7GEo2JRD09UGZcMRII/mEfWhMPlqjf+0e8V+D0dC4GHU7qahAWy JHwUxQ2jJO93ycVioENQKGHzkoDu8Ns3kR5AHmcwAXa/ez7sd4/4uvmhvxeWMSt87LMyxTLr Twszx7GidttMUiKDqTmQ/cWOcMoIOXpm7g0dBRpa5mE3WG9AdK/U0LYgaASRo9Unm5ftt+fl 3X5jGUF38IfqFw/bDpJlbw7JsllHOBLAy4y4nyUZEjXDVutCDIqp4fkqbp3bEVTJiBxfrGLO qluszElCzNW8N2UidcnoZRwaX82MKxTZmIFhjwEYGH3pZ04oxtcfIjxoKq9P8N1FbndfQBC3 j4je9Peli9QMU7kL7O5hg+/+LLqT8hevQLz72Yc3adt8aPzItMeJPT98322fD0EgCDe9SOzD qihHgoZtVy//bA/3f751QMEKqg0hzai19bxOh7voeoBDmfg6Kaec9L9tDZGhPLRroGFP39Zz /+3+bv8w+rLfPnzz6yLWrNDEN0ctwIjY2x6HkpyKmT+mAw9EVWqkUDM+iT8qL5PLT+fXkeH4 1fnZ9bm/bFwd/p6KKz/25yBJyZPQjusqq7f39ZU2Ev1sQ+Uq22YsK/38TAAG/a1nwe8cLXRe huUrDQxsrqqIvlDSpEhIdvxbMHaglMt8SaQrhE6OVpFu90//4Nl83MGh2HfTT5dWCvyptyAb sE3whzW8HNBKS9KOhmvqjIi2na3YdUuPLKSja8rA/FBtf6aeFWhLwrA2KZ4+ahmJtUGJ5IsB H7kmYAs5EHpwBFiRXndjjpMlnYeMZO5lQU1sy8cj625/kAgLYSstLJ1nmHnoRZXBB5nApai5 XykIrhp6Cp6jwqZBxsl9g+9y/amT+xrIz+kRoQKXATvs0yq/bLuF5fyIcDk+AuW5/0qjGdxP wDYdUuoZTlgBr2ZEOpFLw5oyRKasoC6BEH8ENnBU7QGYvL6MHqxx6p1duFXrUjl8N20y/3dW 9NiQMngEbkGruJLCSzUDtVaYbMCH+QzCDuYyH3g7OuODT6L8qXt6WoDNT+PPvaeF/0YCvwyc SMyJPAXAHH8/J4ZQ/8/Zsy25jeP6K/10aqZqU2PJ137YB4qibMaipBZlW86Lqk/SW+mapCeV ZGt3/v4QpGSRFGilzkMuBsCLSBAEQQDkdTZibm1q3ClpexTSsmisXUf90MtDDnFVo9vRt+fv P5w9D2hJvdXuStKtIqFio1QjDGU7OXko45ao9C4lwxqyR5FN3bpwYL9K5lh9ii11bpE7qJTX ekauvbvouyhYgQ5p0cGOtjPTlAwcPcoiv9oScjqKenBP6r9KfQJvJ5MPofn+/Pbjiw4zesif /54Md5IflRD0B1v33JrzG7CrsewsWWPxTjH51dWWks1dfJ2lffHx/kVmKcX2PuE2BJ0qy0r6 Ha0miXMcdOCCtucI4yYHUbrauDQcaWsi/qhL8Uf25fmHUro+v36bamyaFzPudvA9Sxk1Qt6B K0HfDWCne6oGMOLp24QSTRsEVCA4E1IcO52kqYtc9vGw8V3sysVC+zxCYDECU2Izh5SqX30M Ean0pQDAlf5CptCTOtt5q0mdlF1AKfyRIolkAa37znSZY8jzt29gmuqB4F1iqJ4/QgSxN6cl WGTa4VJcuuOgQ3HV5vsVAfYhHGgBGIoaMjns3BQONknOrNyxNgKmz6TnijH0vuKlcXT42+N9 uo4XNMV1JiAoWKNpggSNXK/RKHHdPvW4/3bkcBeoOXgQpYJflaIb4nHNXd0ZAqpqr1p1EDcc Mh4ZZ2b0FmL5Dk5Mz69vL58eVFX9noov5krQ9Tqa9F5DIZNIFnCItqjCZkMgAkfTLCcSyy6q Vyo9VPHyGK833g4lm3jtrRiZT9ZMdRgGya6zSRU02CUt5WPRTE8P6euPP9+Vb+8ojGrIxKe/ qqT7peW3Sw8mrXAn/hmtptBGuxZZEa33Z8hYtdUpyG0UICZs1d0fCgYYFGiS4FyN85+7RgeK IQEjWlwSIU/FHkeWTYVXGbcg9/c1ES5eIxmlcOg/EKU965rdxTklUZsitlUaEXrp+m8P1pK4 t0Fmq3v+zx9Kp3j+8uXlix7oh38ZKTraTpChTxmE57pjYSGmokEj1QgqgryZiAgzhkqWYQaE G4E6DO9LpNpeg0MwlGQM60cjGEYuSH1mOYaROQUtfxm3LVbuLjapqZhypfnktiAThUZjMqWR 8sClwY3onG2iRfBuYexeG2Kafvi6LKeuUjbOJznzgmJ3Z+O0tO1jkWaCYuN2KlqME+DstF6s EAycmbAhbo4YtPVXq+kRnO7Qz5GNWMad6mvgSHarGCyi9z4a9ly0BdisIL/gvcKUpHCsxTiz hvRPw9lJvP746C4+pRT39nWsbfhL8rtNGzscsm65PJaFThKBssENbdTYe5469wql2vSzuEea JA0iomXFR/E2XDrCtqAHKq9UzQ//Y/6NH5TG8fDVuP+hO70mcwfhSWevH1X0von5ij2NC7qJ ns8Be0q8taAA3SXX4f3yUOap8VT1CBKW9Je88cJtDbDgaSxIWMUDmn1+YgluxLg1AopAkOJw rVgdupErM+Rz1dnKTeDWAzrS7nbbx43NZQMqinercFUQvKP2FctcY6IWHXNNH8hYnPIcfuBe KT0RXHJICaKFVyC6UeIPIe1pqOUk2H2CXB1a7xKkdXI/LLOYwcvjDL7d3cWHPpGm6lAFPgM0 PeMtQL4auEOGG+OJZiH/gGc7/vfLXx//DOrdQxfaylFnUyqlQlkAIi2bCfzqxnQkNpTRo0+Y JcSDuA6QppxrejSOAbMsNDdztXTZymizZ8Gm15MA9RKx3Ob/LBz7vyY1/nSkwQ4TmiAjSQ2x o19dKLVXngZ5Pm4OitR71kxLaDDcUEsluk73S+sFEKoioLrYJBMXvEH628N42y6nBl/JClnW UolQuczPi9jSw0i6jtdtl1alneBrBGrrOUatTeUjc56EuLrG7upAisZWZMzpVnBI8GUVbXgm vFnXoG3bRo6LJZWPy1iuFhEy2FqdVadEq69KvchLeaoZmG3PHHJYj9l8qo7nlh6trdS0VGqe 0X1d8zXsL56PztBslcrH3SImuf12jMzjx8Vi6UPixdjgMCONwqzXTqz6gEoO0XaL2R0GAt34 48JJOnEQdLNcY0eIVEabnZOwulIH0uoQyPCqVLhGjZkSJtUynFha1lP/juFyWNvA0bp7pweZ ZgzVysHJtm5ka08EjWEDnAgSxpQMFM4t+DD9GqMYI8Y21BG7tlvpwTnbE4r7afcUgrSb3RbL vdgTPC5pa/kn3KBtu7JMGz2Yp023ezxUTLYTHGPRQp8SxkAx95sHepps1UnINQgYmJfU3QJ2 SnydhLG7Dobf5uW/zz8e+NuPn9///VVnGf7x+fn7y6eHn2BYhyYfvry+qY1MiZrXb/Bfe9gb sHiiwur/US8mv1y542CMqLIuTsFTBqyOVT5hHP72Ux32BadKs/3+8kU/vzVJtncuK/fa8dyL 8SHS+k4l1vURKy5P2M0oowfrwlCzPckp5Ge3ncRuy8G1KBxIQgrSEW5/MiT1xy8JnY3B6Cbg D9orJZMv16k8ROk4X9WEg92gQXOnQwHrvhaKO5mQNUS/W5DdOE33oG/aJLD8TU3+n/94+Pn8 7eUfDzR9p/j8d5u7buocduiih9ognd36ViTw+MJQKODqOKDR95D0R932GYsrAU61u4WTJ1zD 83K/N4Fgo8gHuKTgzAw36lM1EgaqGZaJE5dlilZ8OjEuSUbnKLj++978dhLeUAOCaecJrMFE /RNuQNYV1ofBDup9o1c4Ly86ZXO4+vQQrtdj81FrsDkUNHnfdazPHJ6UkDsL8t6hugcxGYac UQFo5fpqmHmzHLL+8/rzs8K+vZNZ9vD2/FOdDB5eIZn7v54/vliLEeoiB3v1a5AoE0jslFcC PKg5vY5WhVuRmzHGUuIOxjHPq23PBC/8JhSERpu49YaJaIcipEuS5/HKEcIAzLDjsUinar6w LYRpB5fcpHZAIIQWE0g0hUyJVs6lQjoeHxyoDqW62sZ815HY/J4Gs/bwXhbIoOdsT2dcZ2q2 50q39EKDb6diMeR3xHC2B4m/xeuSmWueG6j6a21IyLNXx1b4gQctQyUcDEJcamPbCK4gG5Zs wAFLZw5xWznBg4q8CsV4KEUbkhDhDcqCVPJQNl6VzYHry+Mzhyxcwe6aqfrqQzopnhyoNq5N iVki3d81cSvTXmg2RHCQCV5n4VUmcAXTmbvwjgI7OhV9YLU/WfdOt3ou4VUbhwdO0h83446H V5Dl5MjcGuB6qMFAw8VRXZbNAVKoSu5yW0+W2YmyYTq1LycyPnoGsH0mHVyTnI705+BeuR2V TaqoJ2Y7CwnWETuLM8Aqrap4tcB8YacmOLhDZkPEDGD2SwNHOT07SSzTFkRIPUTLx9XDb9nr 95eL+vM7doDJeM0uHH0PaUB1RSkdH5m7dd8ME6wxz0NZmkkxjK6TbqBIQ7F6+ryPYqBf+xOp 8dXPnnRq4TtR3SFzCJhBWOgal1AIpkNxvAqizm0IA7egAcfHhNTsFPAn2AeCAFX/ZCDrmPou UBTLQABMc8I7qODdWU+afrgzUPrs2SR9214owK/IRSDTBan9oMRhYiH9qwmut2ZMSZ9UnWeW tPTMBNodYknXWzxMcCTYBV5huFaHEr2espolKaka5rg79yDtipLhi8uuQG2QzpJgTbSMQqH1 Q6GcUL2/OL7eEtwk0cyPTtGGecngKFMaGD4V5njbyLmPEOSDrV04KOeAp37uoijyLdnWrKiy S/zasJ+xQtDQmlK1d+0+CQd6tbDq7mO7Myak7S9S8qVouPMEH3kKJKOzy9UUHyFg69LNPtjk oeDbPAoi8A8DTGh259jspDQP9zs1pCuS3Q71V7IKJ3VJUm9RJit8LSZUwNAH8loWLT4YNMS2 Dd+XBf5WDFSGX0GZh5x8C6BdMBQfOn4w3Dg731tg4V5WmeGK2guNpGpqWEoUQ3qR9VgNZ35y Brk5nAoIAVCj01V4EKVNcp4nSfb4kNk0dYAm508nP/pjgvQ6gXzlgeXSDSHtQV2DL4gbGueD GxpnyBE92zOlozn98oUpUkTncHKf8GwhjhHnvBTfDa0KU3cDMhlJcvRhc7tUH3Q6NpTH+D2c VNNM8LRQVn1MnSaYc1OQsHi27+yD+2SGhcpIrfbSK46rGdOJ0e32soACBF4+mQjsGYCsntSx PMCje04K1ZNgWZBb4WY1NrTGRgK/deSDT+95I0+IipOJ8/toNyPK92W5dwdrj6Yos4ocTuTC ODr6fBev2xZHwQ2csx4idKcA8MKnWwQSkuzxCyQFD4wsb0NFguqBxoSqW4V6phChMr6VfJh0 ES3wZcb3OB+9FzMzNTjU2X7J580KIjtCepY4BxlegNKPhwOKc1UFdLOWRJtdsDl5DCQokccr XmFJQU9t2rgj+PiOBNWMiBZqbEhROqJJ5O2qC+RoULi1PqmGsPJyF51dZvrDae2ukaPc7db4 PmZQqlrcLH2UH3a7VetHq+ONlr2otfYqGu/eb3DHdIVs45XC4mg1pFvFYr/QqmQCFyPiqqPx x7FTv6NFgFMyRvJiprmCNH1j42ZoQLjOL3fLXTyjx6r/strLQi3jwNo5t/uZtar+W5dF6bma ZDN7deF+E4ejSm9eFWAi9ZXnaQ0784ilv3mQNqR29x5kgcNSfPRZzq+5Cpzi7a86K+XP0YP0 HUcakiJ5RX/hS8sjdz/00IVkvmqonFHWTFJC1eyeF+6bEQd16lULCq34yiCiNuMzR8KKFRKe Q3F8UMpZBfIpL/duiPVTTpS0xzXwpzx4UFJ1tqzoQugn1PHU7sgJLpOFc/ww0ZihjGC1mJ2/ OnWjxzeL1cwSrRkYKhxddhctHwPJugDVlPj6rXfRBgt3dxpTfEDc68lDcOOryRlLB2HXBymi alQ+DrEQdlOgpfitISWZ/RCUjShzUmfqj3uTGLCIKrjSwtUUz/Cx5DlxBSR9jBdLzIvKKeWO Ipeh51QVKnqcYQIpJEUEnBT0MVK9wdd/xWnolU+o7zGKAsYCQK7mtg5ZUgh7bHGLpWz07ugM QSPgWYX56T0VriSqqqtggcc5gIUCzrMUMmcVgc2Rox6HVieuRVnJq5tq4UK7Np+3WjTscGoc MW0gM6XcEnwImwiLG4smqO8qGloplQ4SCMrA7X9Pg+M8a+S032d3k1M/u/rAA4ZIwJ7htVbe YLlnrWov/EPhppo1kO6yDjH1jWA5Z767pRK6le1d6kh7Z7x7mjxX8znLBC2vcaM9IOIKd/PI 0jSUJ6CqAs73YGEy11G4wnK4hhKKGVUdlPDHx7UI5EjJA9lyqwqHS6+A5cb91md+Czly57an MW2odUOvBtbNQ6xk1B6HmCfDrIroRafTs/3O7vZH9/jw14+f7368fnp5OMnk5mMF3/Xy8unl kw4WBcyQzY58ev728+W7dQ9p3CvfdD76yytkm/ttmuHu94eff6lhenn4+XmgGodlZOzQ/ZsA BRe3AarOrcL3U/oG0wvzcUxsdzK7FfY7pupHVzlu9gPk5lLRuwt++/fPoLccL6qTtY/on13O UosfDCzLIBV9DgFA9k2yxkESRC+xo4M3ye+PTuS1wQgC7+70mFtShC/wGvTNm8iZkL5YCQ+D 3WnxfXmF4BKvNXZGgTBYX+3BCgXMmgJHdk1KSNZkn7R7WEdSXIJZBNU6FLPtEu12yOd5JI/j 14yY5pjYj/sO8KcmWqwX9uw5KNRh26KIow1eOO3TjdabHZ6o9UaZH48JpvrfCFgFbsbIN/UB exhYcx9LEWxDyWYVbdBOK9xuFd0dYcObSL252C3jZQCxXKLtKfmyXa7xG+GRiGK3rCO6qqM4 Qtot2KWx/ZxuCEgkCyYlieAqtQnt2rZFu7sv8zTjcAABkX63V7IpL+RiO/RYKP1cMCVY35T+ CHyKIA6mFILiTxI8+pCpFnHXlCd6MH5B0w9qmxnWA4NSx+hEQIGkcYxJAOgqGQhB1dhpsh2P AJ4LZ7q/d4gSKtaPWywEwODplVRunGxp3kklBfiT36n5LNW8k4AtVlPAwgo2rDR0UjWcSt9t 3UfDNo1apAcZDfnXA0ZrTaKzjaOvUxg0jKBUqpT9Mq0FBL+7itVuQi4bT1K53a0cCeGit7vt Fml+QmTJ4SnODURC8E5cgIsPFdRBQ6Jtgl0fCLpmOfsFJyVEeUt5HaotOcXRIsLVnQkdmtjP pqLXHW0EiVaLUHuGYh9F2J7kEjaNrKbedVOS0IpASGWFHRinhCsvZAWj8FYIRjLfXEoeF8tV qB54BbxCUz3ZVAciKnngof4y1gR4kO1JTlokt5hD1FJ19JubreGyEW1nX5apvd06necpY1Wo cXU4VGyH2fAdKgjhCFUhN/K63WCGJaeLp+JDkM/YscniKJ5bbCCeg1Xkc7N4IWAGvewWiwgf KUMQFDhKDYmi3SIK9UBpIOv5eRRCRtEq0ALLM3gVmldBhhWTnQ+bLtFuTuq8LwNfwgvWOv6x dgPHbRTjKKUQ6XSdAV5P1UGnWbeLTaBivi+DQlL/v+b7A7ZhTQgvvMDbaCAh13K5bvtvR9s6 0USJT/wU4XyuFutzTJU2u23b3pNVF/G4DdwDON2SiU6jVUreYBdWzli2sstrs8PhbOI9/ICy a7Tc7pZ3Z4Srk8tybkYk1QIuwE8KHS8W7d1txtBg2tqUan2/ku3sONeiQ5VyR6TxnJE0KPC4 /KUtUTZRvMQ8F10ikdkpFh3cqVgFdhZ5qjNC2TKs/8h2t1kH5UhTyc16sZ1nyw+s2cTxHBN8 MJFQgcbq8iB6/WZeD1LnlHVgufTHCu+dxR5ZC76acJkGenNlo5zRMxCReJDMjukeID7La3ic 9pGpPn0UTSCxD1kuJpCVD1lPIevBVnV4/v5JpxLmf5QPQ8BgT2s660SbKwD8HXSuNBQVqfGz X4+mXJ3mLGumhuY8AejfLrQmF5+w92VGqlAgCISZFKhpT+31s4R7aFJJ7M6+/1ZYS1hTxg7i VnrSKKSuPRGsz+5yIx5gXSHXa8wqciPIrX3/BmTiFC2OEYLJBGgbVpwHNsVjUDJiqjTWv8/P 358/gpl3kiGiaa7OLUjopb/HXVc1V+sgaELlg0C1DkFPiNe3lD65fkMLEkFDNuxbKPDL99fn L1ObulGYO0bq/Eq1n4fJH/LX27tdvF6o7uly2ro9DWI2hU2qM4/nB7gO0/WiLzCyyr34dnBq 8ALuoT0ZzSu5jdDAgZ5iklnPhXcnnRZ35S4lH2+/WNrjlaq6xH38HILWX0gKo3THe98ELea4 gjL07dBJJ0DUBndF3Xc69vBuKhALOEzVBPleikkr2tNhzwqOfNkNh02+T5xDPMHTna+ktGir 6VfSaMMlKITu8dZHI90bi+L71YTMSVreYxsuElanBBmuPrH0pE+9EH7fEIjfaiblPHxwOgJ0 XXKFbDkhct1koEu6GsWp+rVpxeVhooSc0hpeb46idTymmB1YOms37WaBLGRwRIIK7nEC6Npk lkhtIJ392XeW3kA6HZKaTodC7XhqzZghiCbt1mjeyB4Jvsx51TfllxyRv7IcNDUvspy1/lB4 7AnPA2Ay0yB+pS2dqfDO+J1ZcsIH0KBCDFpesO1AQX+lU2pNuehbHldnB/M7RJs6Nxcw05bN wxxFStCXJ2+3CE3jWOWLbi+xPIdF+aF0fDohEZy3v+vHBMLv2Rq0dN+9Og8vPbgw973d/osg Qt15XkG1D4HkRWPVOMI6ndrhnzcdQUOZFfifV9ZkWnf4+O1lH92IlOCV4N1BDXUeeMdXoY9U domwwsGIrBhLNVwTOMiiogJkMI7tiybNiPvq9CbpfR+0a74+yOH+ExelNRdpiV94w0UIpy6y f7wGXDYePiJ638iD14Lqu0f02gzyPMAjiysICPg6hbrWZ3Vwi1eBE1sFgcFw842unmBPhybV MJmn7Ud3JnY+eokHhwMRPMfrsaraPQwcUv+DOmrXEzz7KFbZ0wOD+G8uAkHLDVV/qungGycN /4umKm5TLOOta8TXEFgf2No0yMxeXAoUrZ31rSH3xZlSSv0mXOS5ieNQLw4CpIGTeFKXKTPM o1KqkegaUrHBQ8CMDaT5efg8HGWm6vtQqluuPEVpxKxR18OzyMt9nTpWxrNAk/yJsoDXJtyn RRVQZyjAhIRu/CxOFnO1PM+vTqKoAaIzbNont+kZzLJR6CWupO8J3pCrMBc/hwQezLi9YmQ8 L5TCOPVOsd+/UT86fVf7f4xdS3fbOLL+K97NnUXf5pvgYhYUSUlsExJDUhLjjY479nTnjBPn JM7c5N9fFACSeBSoLBLb9RXxfhSAeoCzV21pDArpvB+fvwDv2Xe4vghD6Wmcupd+f3n7+OXl +QerJhSJO1DHysWkmo04d7O0m6Y67BRRWSZqqC0sVJGhQW6GIgrVm+cJaIs8iyPfBfxAgPoA u7a2Ykuoq9BA2hKlzVi0jeand7VF1O9l5Cw4H+ud1lNtgPHGa3bHTT3oJQciq5I6IubbAgip Y2h4tcUdS5nR/3799rYank0kXvtxGJvFYMQkNNuJk0fsvpCjtExjo5uk/bme+r4e430Z6MRa 3IeolF73MwK0tq5H7C4ZsAO/pwz0AgibBza0TubM6Os+jjPsJl2iiXprJ2lZMuq0sxqMThJa rmW8zN6f396eP939CcGPZGCH//nEuubl593zpz+fn0B573fJ9dvr598g4sM/jU7iQofRtENm NBhQrn3Do5mObMjVYKuSNwbTONa5sXiAzxX+CmiR748Hk7kraD9s9LIUsC6aojAAbkfrHK36 enfgwd70KwID5HWykl7wFe/kJqfqho9j9Y7JWY3+egVAtaUOvwgc3QWee1V1aImIsb/bN/lB C1PHBzvdmQS28rXWQl8f23A0xuAfD1FKPLN97ivaNmjce1jThiQezbV2SJPAt9bGcxKNaDhP jo7GAiaFZ514NHStOE3oNmp5sfOaIx+2/C1uz4yKtpSNSEegeIAPDvEVsBFzGACIcB+r3nXN VHkFpZC7uja6qQ+LIPI9s4LsyCc8vDlL1Nd0cJhVC7jDrC851HalUYjByh+O31vXAirQ1Foo hxOuvs7B0yGpr21wMeYVO4O8O7GzT6e3FI9hcN201Or706Fu9zV+hlPg69Ys3hxX1/HlhQ7m J9KRgntcCL16R4JjY8zdsWkzXZrlg6LQrdiF9vUPJid+fnyBjeF3sUs/Sj1tRMuaD9Hc/Y7D 65KDft7ZPqwc3/4WkonMR9l/9M1lkm20Okm1v6sIyK2Ku07xQx9KJ2OLmNZwkySd4tqrO/i1 c5r9LiwgHN1gcYUjVEXruVyhMpOL8tADZYmjJoHygpLFre1ypmnd0bYBQz6/ihOxOFG19R19 /AZjY/EwaStfc0+h/L5UTynvMnbIUi4duUfRvaqSJ9h4POYw9Tzje5AmTr15wwjIKPyTCiNN /LTJYCY/BCTEBCwFzU+jnq19lb0Qr/tePOqa+Vzf4cpiHK6HTX7YGbmcBricad6biUkPMY60 plcfu5cnCcPZGkKF25GuuLDVL/0lma2iJTKuROzrLVv+3KkexvYKt7q6e2UGWJeWLXgPhZ9b VyuCc1GtbA1NvWvTtAa1JSTyr91QmOlDXUp3L/HQNPDbttDLKiUVfZJMkopGu9djrPEWaLl3 QLP+4gGI+5Y3SnlkK159cNygAA7RnCKHCgMwDPXaWITPr77n3evlOXaas1AgtXURBubg5MRr /w63u+IcYx44xwOYvspYOCrVGnaIlANkJtOAKKjz9oVP2FHJCwzevVl2Jvrs3Q3T19v6XBlp tLotyUS75qUzGZBgrJwH6Gnc8RDHQXvAlSCIN0aNFclGSwfCNjmSEUHnVdXAmRp4bBpD+Dw9 lxnjXoP0z6T0YrbNcGyLpt5u4eXLVY5xNJb/kduT66TJFFGlNa2Z3TiANT37sW13mBQNPA+s rfh80FMDMm2vOxvJubvgZftT7ljsy0Roc759zPzt19e31w+vL3LfNHZJ9k9E1lGXgtkbaKWL y7y5mioJRoe9MiQIAgxadWos2JQVtafctgQuyLDrV9XZOvtDu9ITSkB9bcSvW8gvH8H9/lJd SADu9tQatbqJp7grGlr2McSywc0Epa0m2J0dquFy7O653S5cnfdDTiGUqGov+Pj0xOP5MgGX p/rtf1VxlmV29WNCwOtucW8O0+XhwCrTVKvp+u6nQqCqAAEM7LeFMIUiXwDlkQBkQ5kk0iES kUPSIILmeaKtNBNCizYIew+PTTQx9aMfo4rZEwNbx7VnsYUcxDe+C1KjQXiG+2u7LVz0SSCw we3pUFjiwpwZ+7KiFerAUeXpSJ6GeWRnMIFp5K2BwRoYroGRq9gCxmRTmyv11lPJcU9CNuPm VxkL7LRts1X+St1TsgZmK2C2Xt8MswawuYL1RLBLZJtrbcxk8Y1yOjw82YwOh0wI469VPYnX C4ZalNps5Eb9sl8tdoabn6qM/T4NvFt9AkyJc0pxFDNxMpjC3Fkvhqaokw+LybEkcMyxInDM MaAAC1ewOF0rMrm1jnCmxJ2E/qQi3tuenz4+Ds//ufvy8fOHt6+IHmUFAZnocK/ezTi/MktF 4Ykxt/e1oo/Sxo/tluBA6AKIC8iQhV0ASg/C/sKkDIvAo3SBu3wZKDL2A5Oj7t6ZTtbEvm5e wc8wf5rs3/dbTDeCg1O85J9TT/DImJ8ev3x5frrj6Vp9IWKV65cr4g0UuTDgQHnJW9wIVC0D +rKhc9aOOIwcpBuS9CkmMAi4FZbOP3XqWFiU3qAI+USlwHWnQZoPKnqbnEcSxwarcAXdb0yy 5RWFkx+cNQKP1Fv5bDjPCWf/zU90nPr84wuTc5F+FU4HVGFPtAqYrjtsjRaGwFlW/kod2rWT dBjb7rQ5E7qRSHhL4tRs+aGti4DozxIC6CPLF5RySWo0j5gW2/IXmi2w88q7+uF4wI2sOcOm ZDXz6eXsZrHftnS8aUmK+kqU/SIXP7u70iR2tmlXxENMQnOQc2MbfXVfgMzHhGOBv6MjSczU Lk0iNLBUqrRq01Z6u/nl4399o1vki7xZ+81A0Isj0TTNuNkaheK0wCKyBWlvLhbF3mCDoILc EbWf2EgloCCymrQrizAwXYTN6mZWxedrAatBrI4P/czhekyZ6pj0J+AiDAkxe62t+2PfGcSx A/vuUO1KpITmlNntumqXD2isKlECdqA+KRd7F3+6RvF/+7+P8qHGuhS5+PINgvv0OGpPWAtW 9kFEsGGsfD4Wat7Ll/6F4ok6nsgXhn5Xq6s4Ug21ev3L43+f9ZqJ1yVw9k+1sgl6Dw8tNhnq ys0QUYA4AfCJWMI90jL0NQ4/dH2aGO2zQKhhnspBdINJ7eMQW8Z0Dt/98a2co9DRFLE34kCq Tg8d8HGAVF7kKiGp/BRdBfThMEuexwsoYJ0VKUa877daeGTB1lU96lpDoP2pbRvFR7pKNUN2 TUJcXhbXTQ4PTtpzE9w4iu/RhQeu7yCaF+yjHnrylGle82IgWRRrO9qEFUxQcATqnjgugedj J5iJATopUXpPpRMPy1R0640kiXICmOj1AZ4dCjuvfqP03dQyvRrcawp+JohWkTbvghRXY5nL BM4kPDuXfGwDdVTPrT7R57wEZaVLgYGQ6/ZUNdddfkJ9F0/Jg0eC1FDGNjBsTdZY2F6pfj7V iAmHbEShk3xi4cNG0Q6XZJYqYa2EJQoiF+rkYWLQ7xiXFHm32Vk1Q5jEPvbB6EdxmmJlwCQ4 jIlk2VpJBQdBqt8GSZBhObPhFfnozazGkXmuj4MYt25XeVL0MV3hiFkR1AVNhYjjumieTHQT RngZpjHFhyyo4wZZhN+tzZzSwGVlgHZD7IWh3cbdwJayGJnsRZCGylaxTCIOjehIZ0eJLIsx faf9haqewfif17Mawk+QpB6KuGMQhqoiqCeirjNH8S5ZSbFMFYZIewxU6dpBc0Go7wV4o+s8 +F2fzpOslg04MqxwDFB7QAV8fUIqUBag7qQXjiEdfSSMOgChC4jcgI+Xg0EJbnimcKSuVNMY TbUPU8fj4MxRgKbCWr5jfd3mB7DrYBJ4g+RvqP7O9GFskc7YDP61PQ9YcSUE0cw6igYElowF +y+vYRPQI1hOODfEgeBNK2mUfaKf/RfAT24M5Dq+Z8dU1OpEcoDjzDG2a79NfSYUb7F8ASLB FtXFmlniMI177GvpUMV0Y2kmMLCjy2nIhwpNZNfEPunxuzyFJ/BQI8CZgwljOZp8ujrC9/U+ 8UNkhNfs/GgshzM0kNSm/lFEgU1lYk/nBwGSAY/5u6uwMovNBNUR0ziQUkjA9M5jwg6dE5Ur QwcqmJ348drcBQ6w0nJ8HARr3cE5IvfHjkcpnWetdNyllY8sEQAkXoJmzTEfe8XROBKCJ5sh /cRvV+DFxoFgQ5Ihia7hpQIhsjtxABuWHIjRHuYQKgnqJcTHBy3a0Ftd22kzdtUOlne7WEMh HPhYu01hOhCQ/U0T3L3OwnBjL2IMN1NYnYg0xWYhTVGBpaFkbdsHj7BYYgSfEJTgkunCgNoM KjAyMhg1xHPL4iBck984R4RKGgJaa8e2IGmYoEMKoChYr+phKMSlVt0b94E2azGwmYod81SO NEU2Ugawsz3SaABkHjJyJ8MPCzgWxbUluus9BUM2Eni7yLTWbamhw21+cqH4NOuY+LSpuu49 qMzKPc5qp34/+OtiM+NYnekMD3/YuTNygSxi0vIMlY5oxVbEtSWpYqJI5KEDl0GBj77iKxwJ XPcgZaJ9EaUUHdMT5ojqobNtwtUVtS/2ccJdqFBXbwAHepOgcYQJUolh6NMYrR1NEmSYs+XW D0hJfGQ/4z5wAxeQYgch1rokQJuwPuSBt7atAgM2exg9DLCdcCjSCMtp2NPCcQMys9CWHfFu s6yNJM6ANA6jRx7aBICsTiLGEPvowD7XeUISVMl04hj8AD/6nQcShOvnjQsJ0zTEo6KrPMTH nxxVnuxXeALc65rCgWyOnI6MYUGH5U/XjVTwJiXxgB5JBJg4QsIrXGxG7jHLM52l2iuvhHyX yjW/LJIE8RxArxlJb+Lo2SmqBjfYqodqiVW06nbVAdyRwVXrcbu9llWTv7/S/l+enRmY/YO/ 7OvQ1S3qHVIyltU2PzXDdXc8s/yr9nqpdR/nGOMWTsr9PneYfmCfgAc6OMKiZibTB3radiPc LCQwgOEL/+9GRkuJFBun6rztqndKN1rdcGryQbNcmCBKdY3R+3CCkIJMZgl2TqBTMlOXm/7h XiHK8BRvzy+ggfz1k+ZyjoN5wY6A9WEII29EeOa3o3W+xRcflhVPZ/P19fHpw+snNBNZeGk+ vdIcYM506O1qA73vtFkli+TMl2c8PP94/MaK/e3t6/dPoCWOFG/qvhpiaNlZD7XdN2DKEmJz HIAIq5/GEa+0QNnlaRxgNb1dF/Hm//jp2/fPf611totFmUds2hxX66G+7yF8PLt33x9fWNdg Y0Kmwl8iB1hH/6W8dzu/mz57GIMsSe1+4RYyFvV+n5fgfbo48dtGq4cv+VDsy6PyeDlRJsv8 5R12Ag7HS/7+eMJNU2cu4ZqJOza5VgdYh7HNb2aHyBzcvIAlrC7mM4Oluseb+fL49uHvp9e/ 7tqvz28fPz2/fn+7272yBvv8qik8TKm0XSUzgfUPqbXOwLY5pLFMpsPx2N5Oqs21F06MTd0s ZKJ2Qzj4efLu9nGF8OmP20EdBYsMoAJKpmivwxsqm7kTOza3gSNGxhu3qAhdQICWjVaHbeBv aIHmqM/kca1UMo4alsdDXXegdbDyNcf7dvl82aqaEbyIL4TZ2nbEcwOj245mgeetVwn4+pxm eK2WzstpHpfRWuGlwSvS8NuBFd3zPaRe0r0BWoXyspadMINFkuSmkXYh2sMYeR7Bc5KhBleb gIke3YDzTN13iIfEJ2qZlgY8HcYbGUzu4lZy6NnRBuLFgl0sUnV2aA3QNoELylAfKQuSpkng oYWu6RjAsENKwqD01LRyUM5fsFl9Wq8lPY7gThJPFbxSgOBgl1P4e7DpfNODQiw14gbAu3Gz cUx1gFfamFZlnQ/VPdois5eXtRSatvAJ2tr50OR9inSQDE5rN6cgdw853mDSiSAysWD3tsl5 U9PU93y9yfoihhGgri91Enpe1W8k4zILuMKs2X1LgYVipaN7meQZ8RGuZj55B3JTTXUohqVe SMzGqumuZQKUq2i0hVp6jqJx7zSJ0QgUYvcEvpkRGx87UL9ZGQIn2qitP2nU/vbn47fnp2UT LR6/PmlSPfhKL1bnDysLHjO+Z53VHvu+3mhuTVVVeM5S1Psj1xebWZdFasEdGQjXiYYKDuuP HE0PAEuC4Ka4//7++QPYdzo9H9JtaQmMQBMe2nct/n4KHPCYrjoKE6ayUofcSC3Ph4CknuUe RGVRvVdodHDv3dPCTJNHFfNQDTEOT0rpRnKGcthC0y+8ebtIlyqaDTIAtj76QnVHLFtY8CdO nqVpzjMTQ4xIMKJqwrMQA6OnuPbcaDaqlAd7V6TYhWWtmkJmdFRRWuL+tGghUhjfcTMKcDW+ P7AOasCjtSMv0AIYR6O7JfFqeCZRIdzpN+eYNMpUmhIARiMH7NDca/T9AA6C+rpQrBKAxjLU PPpABIVa1cIHQq8SIAcZRdBotj/yw8O1oMcSj3zHOMTmoqdFSEuJ6mB2IcZmDpycoPbQYpTb Gn+SzmUg92dcGRD/jCQrswoYMvyxdGYgEXY9LmGSealZS05GI/fMaJaaC4NQRNSJQ2I8H07U DH855PB0UkI5qgfuMxP1pQozniuDaoUAgVGnTEqlS49PlKsRy2imO2wApLWL4RKQ50GluZpW N8QqREWFnqFeetOSh29RVYFvXXWUJuPaXtPTWPVdOZOM/ZbT798TNpgDfV4IBUa+kKoNlW/G 2Fvd5aT3ta6gRjbv+0K9lwWaFj8rL60NsGnDzDmmQbuXEPOTAdwAnZyDrs0bmqMX7m2f+F6s KToIOyo8sKGMZ2TUBzG8WuioPsBUZm4dZs4g/h1JcCugmSFDS6jAAVJKRrXFgRkxvDtJjC2e jmer4dJEXugcF9KEDJk+l8YP0tCIXsF7l4ZxaO2XS7wJd5NwGzZHgxh2nlw0ErZ/KNFuoQlA GogLIQHu04dXlcauJ84JdnbkhdorMacRizYZ5enU0Le2fIxlTSoClti7lUqWuVugHy4Rca6K 3FESmwjcB7qxdnCIA72xTA10a02bS1GCnzmXaDDfOyuvOvK6bI7npTpUdp0wlhP3Dl6dtDBc E8k8cC7Ath7Zcft8bAZDD3FhgQgDp1zEizhR1A/lwgzvZfy5bGZXh8HCxySbnbGkYDy6pLRA YNhDdG8SCljGYYa7mVGYDuwHtq8rLHKWNeXRx5tm4mDbExg63cqSH+RuMfEz0mq5kBPXAk72 KUjS4kBwI3/GFKALgMHi422/zQ9xGMe40pDBRlBFuIXJ9K6zIHXfZKF3KxPGlQSpj2lHLEyw uaeOynDsVoNx8571DgMWdcHXEd2AXsGGIowJphqj8yRpgiWtHA5QjO3oeL4r1t4aE0mizJEx SRLPBYkDAA7FgRPK3F+p249RDRLgbSOPn/qGr+OpqoepQ0RVmlSglpA4cyHJiA8yOJ/4mPaP zkLQBm03dd5jOYIXhEj3A6SCTjM3hWl7eqh8z5XEmc3eZH2McB5HuQHK0KW9vVCMzO/Fu5bu seQ42NMSGPBBLTjYOWK1xJwLQtKeRUAfJCF5QlpNxjxZLUgf0DZXtQx1qPcdG00fU5ImmOqf wiPswLBcrbOVgjU7JhB6aC8JgWdzPPZagCKT4dxV281p62ZoLw4pQIpi1zOlaLDShZFVwEty NIv3hATRiJYfoPSAQewcEftJiDYJdgjT0SC8MfTFUSsI3UmYYWgdTK5FmqM+GjHMYBJt40oC d8OxMM2iPD5XmnxTb5QL+a4w11TwBa3YyzZ1p52vO7j1LY4lkxrxfbaQQaPQgE2VmR1/6+J0 PZuFDnLaEY3lJngkbiYpyUxebjTP1BO6KbszD2TSV01VwNX64qxqktjffn5RPTHIMuWU31TL bI2EmZTaHNnJ9awwGJWCF7wBgiCesboZzF1e8qiwN9qg7FwFmtwuuXBuuq+WVfW/pTfE9OG5 Lqsjv/s3u/HILf+aJeTP+ePT82vUfPz8/cfd6xc4DSntKdI5R40yqReaHhlIoUPfVazvVIer As7L83xwmttRQOLYROsDrPb5YYcOT8E6nA7q4snz3F4ObMgbxWRLKChOIdSSsj7ZOQBopXqn HhexVlJGoxL3ZmlDo6MQHnU862qEUmXm7t8fX96evz4/3T1+Y83w8vzhDX5/u/vHlgN3n9SP /2FOBPB8swwctbyPX96+azGzjM7oj80xGdFDi+yCCxN2I3NUDJdEk7wXqn4utYvy++Pnx5fX v+6Gs+17V6RSn4eznTZQ2Yhqu6rIBzZ+6mMxNO6Rw9nzps/Nku+rsT6BI2o2AGsHKDxnGxgd N3apyiH09QObs8a///3zz68fn1YqXoxBbGj6awCvj7PGxUiQLgGq9R3Gs2ny4n5To5El5VDJ 89QPraEgyWhjT5i+ochc/5+yK2tu3AbSf8VPm5dNLe9jq/IAkZSEMa8hKFmaF5bjOIlrPfaU 7dkk++sXDZAUATSoycO4Rv01cTSARuPqbjakxPTo2IDtwR8y2hgKiQvDD9yT0SOPY8gHY6R7 2jx3oSP6TtCrompahiGK0jDTq0hZNpntQ0MNSfkEkYU8HI+K7rtMIPLknSFCNQMN6D12vN50 bCnXgZTxNLG4fQhzRtr+YAiS1ywKeFmzLNcrziE/DCdEL0flR+FAGcXu/+u5b4qpqHoWwnX+ cIT7isduu9GnoQusf6i/gB8lvwdmYw6kB7MCwiny3yuSls6ASIUe/EqW6UpPVhh5kirwY27d t1tD4j0ElFDCzUHn4J3W4/+mvoHf3OPGid6J8BrwBIU5gjKpdsnyjrQk3b88PD0/37/9g1zl kKZZ35NsP01VtBP+ACXvzf33j9ef5ynw139ufiKcIglmyj+ZUxrt9B1ueWH/+29Pr9yKengF Z2j/efPt7fXh8f39lU++4Ij869PfSkEnrUIO+TKq4EjOSRz4hmri5DRZ+tmbyW6axqbKKkgU uKExbATdM5KpWOsHjkHOmO8v30xN1NAPQoxa+p6hp/vy6HsOoZnnI5PcgZffR/0CSZyvc5Tn nhfq8k31OJRaL2ZVa8iCNfV52PTbQWKX5xM/1GqigbuczYx6O3KNGk3eNseUFfaLhWxNglu0 4AfCGKeC7GPkyDEmy5EMqynEYo6TwDPFPwLwzYq22fSJ+sLexEPsTG1GI2MaumWO68VGNyyT iFciMgAxa7mGgCTZ7PywQQuO1i10TET9sQ3d4GSKSACWWzgzR+xYzu4m49VLHOx99gSn0keV SY2QAnG6u1aeY3vyPfWWyaIPQte+V3o+0qFj11QpwlIc3XstVzRoT398WUnbbHhBToxxLgaA Gpd4CWBXUy64H/j4hz7qy/2Ch0sfFAp57DhGmqmfpJj3lxG/TRIX61l7lngWJ7aaFBeSffrK 9dT/PsJjohsIvGmI+NDmUeD4rqGJJZD4ZguaaV6mtf+SLA+vnIdrRzjpRLMFNRiH3p4ZKtaa gnz6lHc3H99f+OysJQsGRUVOnjv6MpreQWn80jZ4en945JP3y+MrhJF9fP62SM8Ue+yjT4VH JRR6cWqoGs1py1jnfqhoS3N98E9GjL1Uslj3Xx/f7vk3L3zSWcRFV3tP29MaNnhKvUh7GoaI foDL9C5+zL5gwM6vLnCILPeAHtuVGMApMlQ53V+dPYABvSw5mtlHLzLtHqCGhgUAVHMaFVRD t3BqjKUbRoGhnprj6JHF4MWUk6CvVSiMUqQ4sRcaeodTY8/QxJyKiiSOYoyKVjNJsL7THNMI 9X52gTE5uH4SGmbikUWRF5h5VH1aOahr4gXuI8YKAC56JDfjreLvbSb3joOSXdewszn56JgT gCCbVjmQXZObdY7vtJmPdI66aWrHFeDKmKjCqiktyye5ustJVnlrSXSfwqC2C4uFtxExN1WA alginBoU2c40rMPbcEO2ZiWLPiluk5W8s9ivlHkIV4VCS5acZi72pqk3TDzMPriN/Ri/hzCu /+/SGPV4eIEjo0dzauLEwzGrlkVXyidKvH2+f/9zoc8Ne6F1o9A+AcHltsgYZZwaBdEyYzWb 2Xe4NvspieyYG41RoBa+vM2ZSa61ASMy2CuyF62g6hp82luXdf/+/vH69en/HmF7Uszcxppd 8EMk4bZULjstUVjpJh56/UFjS7zl9G2AS8vWzGDpJkVD0ySJraUrSBij3s1MLmsiFaO4YlSY es85WaoAWGSpu8B8a9a950XovUiVyfUt8vncu45ryfqUec7SL42KhY5j/S6wYtWp5B+GbA2N jePCEc2CgCXLFZeCgs259L1jdhLXUplt5ihzh4F5K5ilOGOOnq3lCpDRlYbbZtyiswkySToW 8TQswuoPJFWmT3XIem4Y4xjtU9e3dNSOa+3e2hdPpe+4athwlPFz5eYuFx26f2QwbngdA2XO QRSTdEDx+vr8DlECuW59fH79dvPy+NfN72+vLx/8S0QTmnuSgmf3dv/tz6eHd/NMhpu8cAhx 9I37+3lnxsUmnLacTKa11YIsp503Pone/Pr9998h6rI5+2yxJWpVtWL/W2kMTmtJXZRD3zb7 446gqxs0O+lW5P7hf56f/vjz4+Y/bsosn46XkYNCjg5ZSRgbbxOgTQ5RCkq62/crrJNjkfWc p0rv8zHc5fiZ0VLzGrQ51ItXSeLn0DCm3VVX6eBzgJeULp44MCWVOh+0a8xAarPKIAxFmZtE WmRpmKj0vCIyurVI5+sS2t/lRatys+LzKEaV3pG7iuZUJWZNxWvEK9dst2VDcjX1T0oMiYky 0LoVfh6OKsZlBF54lMegNZzYn/gwbdDjjKnWHDVFATJvywOvONPTBFiIGT+uAJmdawJPAcV9 AcupBghrvGPSlDlcR7AVsWuyYasV8Vh0m4YVArRjtO41EWr3wmfS9BFW11N3qO3R26Ed+3I4 kpLmmg8kURgjtLvsJQc48uvUFhed51BVaijyJf9KS8LH0MWG4ljUvZmw6H4oVbhvMqEj7cxv qvYQOO5wUF7Tiv7Xlv6ghG5bUiFBNaHjSXArNJKl8QB3ozK9GZATLaWRtIFFcjdJUl2KpGQ+ OqNLkIaB4jAQiD2lpxajDRUvZmXkcEgSyw7yBKOPFCdwGXRC0O48LfMvve8rngg5cdMn8UmX mCAODZeaCLFrLVNGuHWJeoEHsKKGbJvTeVfUSFMLul6MjAVeYvG5J+EID1IuwDD0w+ksT/2u P+Hx6aGvkK4knibJnXC7qNJKch4Z1b4mvkedvk4JBWoDyIQCNfVKed0kdTFRvyuyfePv9LrR Oqc77DXkBVy+JbxQ8096VSZum4Sn705qclwfuM6tixLNkTwCRg8saub6aFy6C6qNt4K5qZ8Y CXFqhG16ALitEkcr6T5nc4iG/PXlp4+b31/f/nj8AMPz/rffuGX19Pzx89PLze9Pb1//un97 fAeGG/hstDMXe+VjepUh2qxwY/Qu6Yzq3YTPRkWZnBy97SRVs1Fum27ness3hKKnNaXeqUjB +q7x9fJNdGkvWIrJrQPSaXNFXXlh9ItmD5z22lTV0banuW7kVIXv6QXhxNSmXwQWanVkTU2z I90UTM2y73iGtTbtHClJVG+pF+KsoxWo6w8NMxTK8aT5aFfQc7XVXHbIeOv5z+IcRu8u2jDn hNlBXFnkTO+tRPYBvUgACAvTIjzAuT0sCFiSYCZuCt1AVTEhol9cnaEF/yUDmKS65QKomKEh zFnZF7dmVSUsL/LaUEZ3FemL0oYfKcHEIUFYZKzIRDJltOsOzJY+JxYnUvf2TGBeRG9Ymmy+ Z81GoIPURziHWE3bxeQ7YWDtTSYgOpIQEP+25KNl4EqgINVyTTb3WjPP5UWxicoLb+0Jxam3 fNVC9+CGBy/Gl+KXKDA0nkh37Ly6tWtfCmRVRjUFeDy13L4pNC3W5sJuyLYqmTWZQZBmJ7x/ +UdHplGrrgENtmkdZyJ90zZ8GJx1pSiyzW3VFGgF9nCLlJYD2RdupcSem1anNPHDmGv7pQcP jbXrwygIEZ7RA44uk5nMpZipdbpAXCQ2iDFrghwSia7AkLBuVoMHH4GTKt2Boyu4poQ6kFaS g3fRTqBntkjrFI5J2Qok9kVyvTybrPK42AUH9VbWt5DCeVcf7Cw8KeHXjScz3O0p60v0vbEw g6S/PNlc8lDiNRvvWoH9sn17fHx/uH9+vMnaw3xXPXv9+vX1ZcE6Xm9HPvlvdR5jYtldDoR1 yKABhBF9RTkC1WeGA3xQcpvDkhqzpMbanG4NJTGCBS/EyjASpaHZluoL3OnzsXZG2rCTCKU9 4F4ghB6rRGug+2WrTaMoQw/i8USeC0/8mV6SW9rd3jVNbuZjFNfi9nHChc5lrAeVVBbHAvO2 e1GILR2/qMASMEU3geI+qCUz4Ul629Gizsszn0Lq3VCTCn04Mn0I/pw3fXYUQ05u0YIgx81D IUry9fn1j6eHm2/P9x/899d3tdNK54CEHtQyj+TTbtjSbWPFujzvbGDfrIF5NcD9XBHRbo0J RNNtwbu2nYnWK6C8Fa2a+jMut0szgj4I0FhhUClXrBHcXpI2rzAIsh4OPS0ZigqjZlce0Nrv TovyowyuR3gzELlDZGcA86dHlIxk6lPHVe49/UAX0/YETxCg4eqQhKvkK3198nVuKvNlWbrH l8f3+3dA1QCDYypsH3A9Rq/oIGuKSIK0Q537T3CznTWIae4AChtGhugBAK2CaVrAmmt5yk3a tmtgWYioHMnDC9W0Rbfy3m/Bj5dSZDHcNd3t8PlQHAq8klLDrQtC8oy1tuJWcY2mPB+EfOYf aIvMwYtc+qaaeNf45lgrCMeGnPuO0NJ86Yhx2Vpy0/G1wl1RlquPM5dfVEXX8ZIXZf7DnxBu VcNWyG3xY009vhxbfoDX7sJnq19G6rqp/0XWWbPdFsX1rC98lgbMfiCRkcla+KYqepFK2f6w sHu6K7p/UeGivN2Trr9e2AUjXuVP8N6nu57QhQ9PRy5u7T0fcAhCgqcOqFhMzkcTFqZZO9kS Ke/ImY2u7wdYo5eunRsKxEcbKyBmorXcOHDqi5phWNsZi5mJPlQZ7tF54unpPFX11dPD26t4 3fP2+gLnu8LvwQ1MiffLGQedsoSLBG3dhPIIG6RTnpb8i6yl/fj8/NfTC1xqNmZDbbUj3NJO poV2TFknVNnWspX8UIcOXdkAk5lIO9/IgOSiD4HHgWr0aDRZKCuVWDyTWs7yZniM0YLQNyj4 jAHPHI2z7RFka+DhAlrii+R8cbYoFrLCnN4LEoZMXBNYZavwMaPIbC7cyOeaI0UFrLINw31Y aWzc2rU8TVvK/NdXcAZ989fTx592+eNZrGxpAs+n2HOLoTgq1yN/uNH11A41bffUOHxeIHwB 1aygZa4F2NIZ2hOznYwofNx4IgNizgPTGIjBHCwXTGply7prwTdtIOhov213BM+BejCC89GV 79huvJzmfdl50VyWsirGIh7QFce2cwKjR0SjLHfctDtskEJygOTqDaM5sU0iHYbmBRqmeF7p zyfu5u5h7iZKaL0LPfWR5ZWkjxLDMTXy4wJb3qG70GPfd10MIAdskTlhrh/7FiR2LOm58cmK RGhnnzCLS2eDzSIXQBNr1olrk9mI2lNNlRitGrL+nT1PeI5nQVwtXL2GDfu7K1ISXLacj4mD djkAcOkdlXuoF4C5yhO8GbgNXCdAa8ARF/euuGAJQtsJ9cgQ+iGaa6gf8Iz0yMWKz+kBVl+g Yy3D6fohu6SHfoKN7dswDPF2LLMw8tA4kEsO/SwMgE3uJZGH1GbTDywzjmIBySw+qGf8s+Ok /hHpK5NrfdySAwbmh6VvP+u98FhiJCs8+HMwlccSUFbhsZ2QS47AK9VHxgoUXtNBkgtpGQkg /UAAsW/LMrpWpcCzXvyYGZBuKelGHHcVtTnLXbKdTsl1mfiuj0w7AGBDTNBTlC4CK+AF1l0T YxyYYpiCMOBAipdbBGNAAPAfgH1x8pwA0xoAyNdxRpU+fQniALErUEYv3PwgZ3zdVCkRBSIO QR2snAJZ01aCIbEkiTQzp/seMm/IiBQIvdLP54EqTuYt9lbBRk89RmU44gW2407JkPguMoyB rt8WvNDxyXbEGL5Zu+urCH1Jc6khkdXEKi8gxMKlYnD5qIqjdd0M3a3vrOpIysimKEtko6Ss gpRPvljSZZPta7Ij4Epy7VRqCspi0E/ccE0Q+UoEG6UjgnQYgfhhbMtIXpYz6iCwEPWBoLBE iDUogNSzFSb1kC41IrbUUNN7QmyKfcZZfreqKiQj6tBfk4elEBEGsCpJ3Qjcl+ObNhrP6H/Q ZGqzyo0wWx6AOEGUygjgA1GAKaJyRsAmzQm2X6OZuMBFL5o6B9ZSB/hq6r7jICNDABGqskfo yrw9caELGAB5EyBDaEKsopaoLVUIIYCnGrre31ZgRYgCXhciV3qo9u5Kbk0j3YzT/QDTH13v xcgig5OxNQAnp1iu8A4RyxXoiArhdN+x0dElhkR0JWAwhaGLViaMsCkQ6Kiw4FIUog3kZSmc rj8PmOnI0AY6pm0EHdGRgm7JN0KbI1ScEih0RDtLOt7BAUsQO1DSbZ14RK/p7K6PHedHuFz3 h7jCKx2E7fpSffk6IyJ8D0bfVeM+mgXBtcaMzjv2BgO8ux4I/wsHnMgGJZy2K4dLJge+d8lY 5aHDC4AQM2wBiBzUxBqhK+po4sJlwaogxGwM1hPUbgY6Nk1zeugh44nTszSOkBHO4JiCoLuu PWFeGK6v9QVPtLZdDRxxjM5ZHAKX1esfh7GLCEAAni3VKFhdNwpfdtgypd+SNIkx4OItDs3y Al+ZgJecqDa5MCCNNYO+e0IXmBcG7xRYo97g3Nd2Bi7ca/vwkouvVXxETY9J5NnJxWaPnvnE 82JkGdIzuS9hQUJ04TfGd1orrAzxhH0sPAD6a71I+ghEiiQAbE9ehPjx0c0Oe/SfmUMEnUIS Ba81WGaV64XOUByRafeu8lAdz+keTgen/2i57fGhliwrz/okC0RpWqu89CuPFiAJr6ceeuvb kYJlrbGBAW3SKokxuw7oXmwpcOyt7XbPd6rRT30sqsOSIbB+ek3CMb7OF74ur30aR7ZPk7XJ gTMk+LmBRK5o05EJVaTi+jreYil2toFdd5/omLICeoiPZY6gAR8UBlszpauzKTBge7+Cbil9 jNgzQE8sUsA2TgXdkg62UyPolnKmlnxTS/mx/R5BR2bIMeYcTkfLnzrYpgPQ8XqlMWY4At1F FgGCjg8rRhI8rtzE8aX0EwdbBX0Rh/dp1HpIjmUVJKFlgynG1loCwBZJYs8HWw0Z8Y5moPQi 10PHMwQlCte2PgUDurLlSBStq/iaHJIwuM6TWB+lzRyYTCWAdE8JIP2hb0nE1+NEcWql3oFQ PpFrHdsF8AWsAee638Mb4oUZsniQJd9Z0ty8tMWJly/4j2EjLoGcxYu3etcrLxM43hFs1Xgw krm8rZN33b49PjzdP4syGHc/gJ8EfbF8IiFoWXdQrNuZOGyxm84CbjUfXYJ4gHd0aKcQVS7K W1pbEsz2Rded1YJle8p/6cTmsCOdnnVFMlKWZ2vebdfk9LY442+bRLribaOtdGf5ZE7LlTfT rqk7yrB4psBQVIzLUK0ARKBZBhEQtC+8bHrLVhArQc9yt+2we/oCKiGqxPIZKVB5wn1z0Nv8 9lyohDtS9k2r53akxZ144WwV2+7cCT8iljJRCBeg5kR7jfCJbJYHFkDq72i9J7Vek5pRPlYa jV5mbXO33K8QxCLXCXVzbPQKls2Owoiw1q8iO5pVXKq2Jq644Dq9SBU5b0vCNKF3hewwGi+F WwDNttfIDTy+0XtFdSh7irRn3VOV0HTyubM6CghXX0XH+wn25EZwFD0pz/VJTazl47DMjL44 ksUzcVt6I0tGFw9yBVASCB/Eu5bWX9uO8olQz4oR3ky4XxAJV+xQYzddBQpxGMSVaSUn1sNb Y51UlIxr1MIY6zz9tjzY6tlVmvx3XVHUhC1fS88kUAmKMFhFuv5Tc4YMlBl5Qbfr4p6a/ZqP ZcYrbftiz8dRZXyz7w6slx6ALB8eYGIaWubr395RWjW9bYycaF01qny+FF2jV3eiaVVVMvpy zvnUZNU3jOuIpoMbiEb7SSTjVYRYg+KXbXIrW8V9NTaryrASfLWETvdwIVPO1XMiOq9M4OXj 8fmGsr0lGfEMhsNGYvh386P5ZT6T7cA2Q7PP6FDSvufGTVHz6W7h/glwJIoZkPn4Bn8W+JtN YDiULQUTyMrA/1uLgLGYUcNx0mW8joQN+yzXcrd8IT39CCECk7hVrAW+Anr75z/vTw+87cr7 fx7fFhxzFnXTigRPWUGP1gpA2UXYSZSjJ/tjoxdW+b4vdh0Z2j1uoUwy/H/KrqS5dRxJ/xXF nKoOPcVF1HLoA0VSEtvcTFAy/S4Kt63yU5RteWw5ot78+kECIIkEE3LP4S3KTOwgkEgkviSZ yuNklFaN9ZVWGk0I401CP6Bp7iuL2wskrEs+Xdhd2uBtUknkuR79PI8OK0BwIkgKX+2fi16h houEHYJ0AWEICtPps/z3Hyz+AyQn2/PnZRINkc/iUeCXPDIR04DE4m2EvEN64sGASRnzs2ad m0mlCzy1EQA3zKKyNpM06ZovOdRqDNxNmcXrVCgLuI7kBYesHdf5y+1B3ztFObm4mkEhF2Vj qA5I+XGGAYIBZfLpZcQb4CLMhKCZS7SaW4yBwN2LYIV08FAxWHe4nvFd3+OYusp2iXhzZ5bP eUl7X5S20eD8berPl4tojwytinfjjyugv3AUnbCFf/CTfqDvoHdm/NsgUVfzHnJG5Yi77XYb 0R87cLfs1pJlU7JtugrHlVQYD2Y5eUOrTMMMb7lWXFhlyjv6NJfzc02TYpy2bjlN7gzYIPgl oSn0lX2gHoSmTGSliQi1l2uSpablC/aqBkTQAmApt3f8wAjBHuNuY+AS1IovEoZcx6NQBQQT oLd1H8SB6FFE32iswOhGd5eCDEGfAzImrGCreOooo8pfTqdmkZwYeKO+lLHKbZmLsnHMXJ1u 25t7mZnfjkoEZ0LybkpxI9ebMke3bsrs7vJRNfq4tbbcwCvbMTs/jKsgwJB4gq7sZba8miiE +L6jZE0WBUuXBPiT2arI60YthvjnxoBAaDo6epvgl40R9cWYs/KV1svp7a/f3N/FNl9vVoLP 03y9PcEDu7FiOvltUPB/H836FZyCcnudqnzhkE8DZEuzlg/UaPAAOsPa11zfzHfDe1ajx1Uo Z7IXmo/T8zPa4GUa/sVvjMiEOmMM9koJlXzJ2JaNMZQdN07ZjTX/vIntHdgJbROu16ySkNa3 kGiPa/y9aFTtvmtYGPHjYNrcj/taCVz70vv2J+uQr7gHAQ8rBuT0fnn498vxc3KRozLMweJ4 kZFlISrtn6fnyW8weJcHwDD8nR47/m9YsDTBiGa4pSLu8vc9UoU24xQSK5ImTmjt3sgOrLLU 4RJ3skD57NfqMIr4BpSu0gw6/ldvin346+sdeuXz/HKcfL4fj48/deRui8RQtZT/XfD9vqAn XAyuvqPg2xJIMg9Xu/U4CDO7LyIIko2Rg+8Endb/VU6W8iHKcV7uE36K4joufbhRYizJ1qDa 0ycoJcQ/m4qOBGm0qO/6XduF7RwsKvF0Otcvj9OcC7IoTQFofJCrwloAOleAcT5Ii58d85+O Qa5L0X0BJkvFAzBbWLhJ9CKAuyrLpuf9138NrebJarCOrTIA1SZmnS6A0Go1xkh96oVE6fZc hybvMGbtDk4RKT3owKsgmvomKdKaUlRBIoYwoVLCzDgk300Ah28jUYlNS6I0rqaqaw5LQv51 t6gxfJh2jGFSvp7pN0r7NaelfFvaidOva3D2vObrGBMNkaIUybUIgmtZW70BgpYba083Levb w+q+EvptWPC5occhT+tGi8GrUcXCM+QvKHxyFdTOsI8rzf6YrqO9dhex35as4V3QZCuTWHPt waCZIlAiqoigFgkZblnwWKRDpkmaqqCRC9jDmTJQ8YV3E0b3oxVOACt8nv+8TLa/3o8f/9hP nr+OnxcE5dDHX7suOhS/qZN7m42HNeEmJU3M/fn9l0k5VGmln8XXcffib5CNtnWZJ33MXG20 x6LqtSD4NI6JbNug+5uOQZsROi5f0JpynBssERK1f5Sf0FVWIaVidSLCCrNmZG2E4XW7o+x6 vcw9IxJzDbiKiY2mP5NmWViUbd+Tet2l5nrgGh9ECaDPtFKEVI7KrIoObQkhCPUOEUotP6HS h+yBLTDIhM5AGZzv+AAVwmb2a0wT1iZkyh5YFsguTQIcdjWzu8YAaBWqOAFPonEYX8d38Di/ U2uil/PjXxN2/vp4PI6vmIXuzfeyIQdJEWAz2izLblgdHfIcL2YdUqU9XAOXONyURXhFpIPZ sB0D4EGMsCT0wTeGpHeHsFpZU66bJq8d1zGjdqRtNW3bcXYCwW12parlXXaFW8dEM7vFSECz jEqUVmZbon0jUBZGqYoqyuddA8iqhCxfejPHmrMaz3jVQgFVHenbYpRVDMLzjgsOG666zK+U m7fsClfcFHrWShV8UtfJuFQwaPJuavgMCKvvmlSl4Mq91bV9xZGgP1mFGlTn+3kO65fFOiax Wqu0wd0gAFzp819XmrzgBOMJKQbooOvmWqSTsi1Cdqiraz0KiJZXYqUA7pJ1Rm7Vpx7lqHE9 PW92tN9qF6Ge7/wkAmGXQZMjhSNRjQWP+ivj14bIs2bhwxeQ1zRCQs92Z9f45ClcVkagrN6z Q9SgOdfPGT5h6INW2ER8WrgO8ZENwwOeAoDCCDNoNjVumzqnJ2qB7jfJMM1WJTLlQY3zVUkD x3awj3YJsHHzNcfkKy5sUfwri5iCBEQLeRVHtnQwEaM8vhV8DXVsV8zSQ842mCrwwICkFSBK 5oVSZwap9oeVFitEkob7Txm56/h2/Dg9TgRzUj08H4URZMJG97QiNWj/mwbg0sx8Bw4f//A7 dn9UviInVhpkA7OI9JmRk+W7FprZK8XO2qed4QgONQ1XbHcb5Ngmrs5kWeMc+rnWHauGNUQi ldkSphUUvc+ZhvHNG39gRjYdDcx7oofU4Wt139WbWn78pUPUCKhRdDeuExa50lyY4qN85aw1 U4jJWB9fz5fj+8f5kbrTqBNwv4D4UuQ4E4llpu+vn89jNa6u+Dem10sQxKGAGjjBFFXfYC8b kwMEk6udabvKokpJYxpv12/s1+fl+Dop3ybRz9P772Avezz9yWdvjO/9O0RcgJ8bNa1D/i32 +BGWonNlPU9CtqspVxYN+TdKi7WmE0hOrnMG5DOiOrKeYPB7oqsJPq2h8FvS5rT4DTsIbC8Z yWBFWVYjTuWFMokOyDYuXd+NFO58SpseB1z6dT2aqauP88PT4/nV3rIV1xBZs9J7iUwksiva 6o8Bkvz2/JHeGjn3mXwnKk3Z/523owy0yvENcZGTX9EopfTh4er/33/TjVVHg9t8o9l2FLGo EuTSM85miMHbHP+yTGe1UWpTEdaVYl2H0XqDqRUEuburwwqTWVRxjQXT8lyScIRLsxaifrdf Dy983CyjLb/9pEj5PjT0gKSyVWqQsiyKRps4Xyao2+GOV8WjFCxPKE1S8WK8CgnqXVQw1n1V OLOwqsnJQLZbn+RKr9X0lHvGqYtwPp96JBWHRRroVBB5jT13yNxC15LdinwWMPAjx5IwsYRG 6yXmy28EaDCMge1SLVmSvbWc0rVcXu+t5czSuiUZtlnnB2Q16N4HjEC6mO+6YIlsTDVYYyNy 25VpOM8sPy9Xqa6D9orVpl6jSpUR5TiL+OKo7DmHfZk14SYB7/vKEvSjk/ZH0loFQShFHn7C ZDDeasTa0p5eTm/m0tonVXiZ+2hHfqBEYr0aP5pEX+D+Mw2jv9fJAb99XSe33VlB/Zxszlzw 7YxrqpiHTbnv3paURZzk1ps9Tb5KaoEZWkSUSoIkwQuehXtt6HU2XNOzCgVzQKm5Kpzuk87z rmtPPO530KOl1xX4fHaZUNYOLgjHS01Ku2bru1DFAP01br9gdGUVZUSB7JGyVaVboLBI/znE a23/SdomEh4KoqXJ35fH85sKZzz2NJTCh5AfYEXc21eTYYKjKvqahcupfjOp6ML1xyTmYetO gzl61DqwfD+gFrpBQL3LM5NWTRG4Ae2zp0TkPsm1hUOeklBTSq5uFsu5P24ly4MAQzcoRudI a8+SS/SgiNq9CT/c1Cgq1apxD5kHoWwtJyuW64FAhalunUfeIdF1js6olqMIrmoKsZq0rqf6 SPEffHKv18ga3NMO0YoSFY5qZcF2uX7hB/wbCPcCUpisvA64Hq/KQlz53zUj0+BqdaUyWFR6 EU875MMt7B0RWRvzu5Rd1JvHx+PL8eP8eryYKwU/abszz6H1ho67pJaOuM38KXJoVCTLE+WO i94mC+LcG+Uyt6GHdFyEGrLKQ1f/aPlvz8O/p87o9ygPoKHarfKIf4nCeySjqWYeGgflFIee XsE49DHkdZyHdUzGzZUc7ZWqIOj4BtrbCVmyH+OpxjUUxQjblFl48CDiGp83x+TftCxeGj9N oD9JpGfETRv968Z1dGDaPPI9H8Ea5HnI9evRpBrxbWAdwJ+Rj885ZzHVYUw5YRkE7sg/W1BN gl7pNuJTJ0CEmYdQHCOudKG3983NwkfPozlhFQYOMgDgz1Z+ym8PL+dnCD37dHo+XR5ewDmJ 730XtP2FsUQT4gsF1/P0z23uLN3a+GrnLon0AAwdAJT/9nTAHPi9dI2svCXlPisYC5R0OsdZ zZzR70MKka3A0SfMMhzQFAnYVor53KjufLY4uJiif5Xwe2nw9af5/PdiMTeqsbQAaQBrSp+2 gLW0GOvj5XQ2ty3GB/79gU5jt/gYTJ3F99IwiD0Q0ZrUVp7TKtqQFacuFpbM4GIgBTsmzklA LGMSXA5mNehgRv4iil7rBda2bNPF1IJzvG3nLr1bQSTttrXUOi3AxjGqCVd+57G1GtJj25Jj VgFK0KjvsibypnPqpCo4yNkaCDpmgyRo+AKgYToYNQVIrkvGnZesBU7u6eDDQPB1uDhANJjh rSiPKt8jIwsAZ6qjAQBhqYO9iBfa8KQib2ZcMQbnPzwjKm/mLfEsKcLdHHmOw203FhH67h4m 0thNWfCqfNHyoWhLeqgGfTk1Rmvg7L9Lyvna2MGxHp5Wl7imLPLm/ZzoaFXCZY2CpcYbr1mc i/3G4tE0CNnmaCNq5izc62zyVUPHnDLH00ZRkl3P9RcjorNgLj46dNIL5gT2QtyZy2bebJSQ AdqjLRWbLwPHTJLzg5XtK+f8JoumAYb8UWaIdtSF3T57bU/Vd931x/ntMknennQDMleS6oRv 8BkyFo9TqJuP95fTnydjs174+ka1zaOph0MKDqmk8v7z+CpeE7Lj2+cZ5QUOG4dqqxRCbaEX jORHOXCGs1qezBb0gTOK2MKlFrM0vMVqUpWzueNgYJco9p3R7O6YgBVQp3Aa3VQITrxiWAPc /1iYu2V3k272g4T3OD0pwoQPjopYi0E2lLosj1w4kJfBHk5Sw9tdMn99PuRMZcHU+UBekbGq S9fXCR/sWEV73w02sFEWhq6Oi6V56GBi8NSYSgOT+hj4d/EgZzNSNTXFJHBmtAIZ+BibFyiW mcZZU892DA2mU9rfQ7Do42kQLL1aRDwzagB0Wwpf/2Q4Qce/4r9n3rQ2D7DBbDEzf49lljMT 95RT5wGt4wgW7QADLNIOLhi4tvO5g5tjarc+/l75QrQgwdhjNp3qrtlcT3ERGi0oLihWRz7z fPQ7bAMX6zFRBYj+9JmN85aeBURP7onkk1i+/HOGs/DwozZJDoK5a9LmxjFcUWeuR35+V78I edXIF4Snr9fXX8qird99jniCuf44/s/X8e3x14T9erv8PH6e/hceicUx+6PKsj7stvAZEs4g D5fzxx/x6fPycfr3F7y10HeSZaDwOJGvkSWdyLn6+fB5/EfGxY5Pk+x8fp/8xsv9ffJnX69P rV74u19PaZBCwVH48qoi/99iunTfdA9aqJ5/fZw/H8/vR16Xbl80bFnOgq4v8FD4jo40wx+I sIeR1oQwbms2xerKKt+4FpyudRsyj6vxpGFE24OEiqkbdPJq5zv6E0dFIJd8mZq06giW3egj 2LrNZ9ipmo1vvIscfSDjkZA78/Hh5fJT01o66sdlUj9cjpP8/Ha6YIVmnUynxjIlSHSkHLC7 O9bTEbAQ/hhZtMbUayvr+vV6ejpdfmkzrKtV7vk6bnm8bfST0RZ0Z2eMmtOhoeRpnDaU1/y2 YZ6unMvfeLQVDW0622bnYUTFlOtn5NUrZ3jI8DRqpYJC4SsdPGZ9PT58fn0cISTg5Iv3GtJl 4QtBxlZFMhUBQZxT9VE8bNBN3dnot2l8FTTUCeu2ZIu5XpuOYu7GPd1mR7zJW3LfTYv9IY3y KV8V9AdtGtX4MnWOYSwFHv+cZ+pztlg5BhlbXdU3nLF8FjNadb4ymPpKAGNxyFLjmqSjDlcr 8k3w6fnnhV57/8Wnum+x24TxDqwc5KKa+Q4OyMMpAJhMZ1TFbOmbS5POXFpW49XWpcFggaFP xIgrH64OjwkEXdHhv309Nhn/PUNA/5vKCysU9k5SeKMcB2FYpLf8xOzyFpORbTtFn2Xe0jFi 5SEeCa0rWK4XWNYjo0xKpKpJv+B/sdD1dMN2XdVOYKxEqn4SmoG2vDV1YLmUyvZ8SkwjElAk bPnOgGGRFY06IxRliGNKlFXDpw+qa8Wb4zlAJVdO10Wo3vw3vhJjzY3v0xCbzWG3TxmCyuxI BiZ+TzaWiyZi/tSlTl6CM9evF1SXN3zcgxnaTgWJxGIAzhxfznHSNPDpgdmxwF14tL/EPioy GBmiFMnC0Cj7JM9mNFK5ZGH4/H02c0nF7gcfUT58SBPFq5T04Ht4fjte5D0LuX7dLJZzy1Ht xlkuSQuJugzMww2yV2pky7WYLmGMOKf5LjmdtC8TEiYNhGZPaqk6apdhkR94UyoDtWeIUmmV sKvyNTZxS9hNvW0eBYupb2UYk95gYkRrxaxz30W3aog+CjSCuaPNs3OkpCaDnCZfL5fT+8vx b+xBCgafHYoqjgSV7vT4cnobzbDx4KVFlKWFPnhjGXn7f6jLRgB76iWT5chg2gqsY/KPyefl 4e2JH1/fjqYFalurlzzS6mWZJgJwqt5VjWYdQ3NBvrtCWaGNrRf6T0pr4DVrVpaVpTR4ikqZ 6egGK0XljSv+/Az/xP88f73w/7+fP09wKKY+f7ERTw9VSQMf/Ce5oXPq+/nCta3T4I7RK0KB h5fbmPF1jVqawZ5iBLgTpAW9NEseBZQPphZDfQCSa1njgWes/3oqQ1lrqswZBUMwjopGZ5Ad xcfvggGi8mrpOt8cQnFqaez4OH6Ctksu8qvKmTk59X58lVcePo7Ab/P4IWjY6yPb8r0KrcBx xWh9AKlWiY6NsK10dP40qqCbkQEgc/WTp/yNa6do5nZSZXw7oc5gOQvMa0FBsWxZiokaDzR/ PtomjMbpVNKEITko5yaY6j2yrTxnpiX8UYVcJZ+NCDj7jth1SWenMmfIcLJ5O709E+d+5i99 dFszFlZz7/z36RVO1bBSPJ1gUXo8jjMUqnmgR6HO0jisARU0Oex1m+rKRUePCmFC1Ot4Pp+i 8Nr12ogs0S4tumm7DNC+ylNqV4GgsfmO7mC1zwI/c4Ygf31nXm2yejX1eX4BMK1vXVo8tkRm BY+5noPsFt/kJffB4+s7GEPxKqCv9E7IN7Yk1wJwgXlbBofQV9Q0PwBWc15KJ+rr37TKcEif tUtnRirvkqWPbJPzE+PM+I2s6Q3fBi3nJcGyqOVgE3MXwYxcR6me6o9O6m3Q8JN/77QxAnhp TL3cA45ELW10Z1Igw1yuSn0+A7UpS+1RlZBLsMe8kALsKnglSp0e8kSPBMB/TlYfp6dnwoUY RBt+opuizRGo6/AGjfaQ1fnh44nKKYVk84U4a/bSNt9lgN/7pf1QaBuIZKCoAqlDmMTEpObq pN5Dgipfd5HDBfwOEMAuIB2AiQ4GblIt/bbFFdmmq70GUQOkNG9ds2ac5lFqiuDJjxNnklWR u2jbA4sQVJligYOOtRHghQzQVJbiOl8W3A4Btbgwelm+YdcI4tEHqmf3hr6pdmY9O3d3a0Xt 2OmCK5FCcArQrm3yHSwCqp94GGJm06RJFNr6hzO39WiuSggLs4k/xgCCAE31+PP0PsbUDrPD OtXwc2S85IOBVNV1KD+MRMCrUholtZerb2mDaidQ/wjdkVS/hk4XcKDEVeh8yppod6CRtrq8 twtZUc3bu7497Iq02qaAVpfGCXpeAW8yuASA3ZPHImAXDZw6x27xkHNU5qu0sIAU8LNUsYHX sFUE+EcW1zddaLS0d6dNcwy1FlRhdGMijve9wpIGfN2buszQ6yPJCZvtfIneWElyy1zSL02y +6UOU/uHrBRZee6My9qymEIHkUxwGhwngXAJ6a1ligkBuVRZsxVPlM2KynfLMqRnWK/GxYK3 3JVCe3iUKzLyFWXJ7GMlnex0pzZJZ5H+ikPRxPOpcUXFupNXbkCt70qkjNbVJhzluCvaUTGN AMeOxj32477QHtsqjCc1qqmP3BYM5kw+GpDa+vZ+wr7+/Snem/1fZU/W3EbO419x5Wm3KvON JSs+tsoPVDclddSX+5Bkv3QptpKoJrZTPr5vsr9+AR4tkERrsg8zjgA0b4K4CB54k0lzh7ne HWa5uDUZf4ZSzBuKq4CC4OEEP4eDEynI4yF9RiUAj7mKdcOPlKu7jQQOX1YY3ATILbzk9S4N 5hjPVfp8ctETcXDwdePLHI73Oon8wnskfjc4KEh1bNCyrDw7SqADj4d7r9YuXmxa1Ko55Nyj WPftIERVQmVEGC5Zx4DKXLXvzC23v8NWRol0B83w6Swpk24FnL9w0fbOkxptr0n1p3I1Hp0G I0pJGh1wOgLVDutgFmpPMTEUwyu2SRaT04sjY6ClCcz8triN3I4okWJ0NenKcesOTiwu9TL3 +xdnl6PzzUB1KjeJOTXUPnADdzCTH+9MwpL1Qx2ST3WPBCZIFLlHVtJ7py4n6D/Bq5yRcJJL ZRHX7IreMIeeTSyLEU8PL8/7B8cGlcdV4Wd06CNKNTk5o5NpvoqTjLsFF4uNyU5JblkKIpTn oIJk3k9f09BAJW0kAS2CQfVtiCCpEVYkl5jtxMkk7uLhU15hVFR4eUAVzyuuILvLGf/mk9rS NzNTuds/DOSuY0E6029UVRwDZ3qILNl23Wu23g+YMJI/lXuZb6j1upjV7By2b1BHn8Xk+Nd1 vsJ08/OSKCGVWOFNmcOsGLiJWNe9p8YhzNkUVKODYNYnby/be2XhIsk87YdskjC9/xqSgtNC zEMxRKo28HnDJ83tCYBPHqmpKxu+XKU7s1uM6Zgt1ZVL8FeXzateYnkcwnSCXtUzubjKCuRj 75pZ/6GlqX1rrU8RrTjVrKdCTjbUbMPs3FgZi8xAXtwU6gKm9+m0SuK5G06rmzKrpLyTBs80 ytRXou/KphxwK67kPKFh2AoYz9IQ0olZy0CdFzecQchKbxhAq7I8GP7Jpamh4F4NxRcuoOWb Q8AL8fMxiV9avKUwv7gak+VhgPVocnpJNNx2490wR4hKvsl7FYPGlcCQSucwqhM2PqNOk0wb wA6UANJME9OrDOyoCv6dy6hx96+F4mFALPce5jLLjiHzY8ibAaRqb1HDaeLkZIHFlfOPo2U6 RfLBS+Ra33Qs7h6TvKuDnprvBBrgG9nNaryLWNMjFUCJSgDbQ+SmGXczZ4ANqNuIpuGaBviz zs2na0Doc0xgxUTctFiaWkZtpfPaHzCTjl44N4BDcQEtLYW2YhKyS4P8PI2JiRp/+VZJKDWb RsBNCJurZAIDCBh3iHowEEd8tt6eRN09xBxex8mODPhnXT8Z78//MNaf2XFGqNdnRYh+eUww SkSpje0y+X3TFo1wQcwEIdh98Q0hRQ4cFQ70qGITNW9Iy5zvRA2j03Qz0Qiun/NZPfaGBs4x BeP8ok0VjKSF8cMZkqkJNylfvQjYkLhqc9CPcqDrgpcKHFpvVjRQ992HYrFy1oGknMyc1Z8n 6WDPZ+NgCSsQTr33hUtwZFUqvB4OulL0ZyppY5J/Bt6XuA8N2GKBISpfaTLwXBSOiuCOBI0A bSJLGprNbohfoGuFNtBCzCNyRUkbn2DKTACjb5JYdPMY0/ve+njaWJlH1W3pv1xLKXDK2Jjp Wa2TkDsZawbzkicao9LvOG0Qg5/YndvTKgAm11cmA3VS4dV0Xh2tAG++WIsq53PWa7y3jm9m WdOtHK+JBnHWAFVC1NA0hG1TzGr3aNAwbxOj2M8v/AIGPRW3zgo9wPAB3aTC8zmmz8lyBCJd i1uot0jTYs2SJnksNyxmA1OmGs5iMwndLsr+nZdoe/99R87zWa3PJGe5KZDavgOb11CgxayY V2IoybOmYlQMj6KY4laGTVdzbkpFg3uDTNQBFnJ2ghtooL0PpMdCj0v8B2iCf8arWAk+B7nn oDLVxRVaDtmV0MYzu2ps4XyBOqSnqP+EQ+dPucH/541XZb/lGmdlZTV85/HZ1SxgseRrm98W X5Yv8TWXydnFgVH55WuI/SYpMH9qLZvrD+9vXy8/9Ep1EzB7BRqSjBSyWlMj0tHua4Pz6+79 4fnkKzcsSuJxG6BAy4G7tQq5ypSC6X+jwTaGMG4z1r+HlGhep9xDAXFM8eXrBNh3UHa0SNK4 ktzrTEtZ5TM31SL92WRl8JM7fTRCnaC0dg0GrhBL9ibqop0Da57SKgxIdYgsOKmfAJGiIdD+ 8dt5MkcvT+R9pf8cuKi1HIZT2teT1PqZJ8xELzNnaosKnypSpbEsRMRHcLMAZ5e6Ok1drcCC zNNHzhm9CNY8QPTbz6zYJT0BVwF8MSwoM+xmL0f3kqgHMYWeUuHdYNYgD0h9J2WwyLrNMlE5 Qrz5OlhVPea4KNuTWQVhsG4iouFdA/hT++24w8s2QRvSOy4lm8apkF2/GNAKqC/UVJ/B/ujy IpdhDRoHokkxKIVTwjq544UbSjQTq6KtvLYfLKHTZGjyIzi+6NTr31q+DN68USjvyT/LZG5a US9c0cbCtOipDs4jX2oqLbI4NhOLR3tWVsJ45PN0IImHR6rsSMeqpHQY4BSVJFNiT2VXqw/3 F1CPSO84zkjQBVfLHVvWXT3wxGJPMVniETNNl8FS8SllNpVxTBWPw+BXYp5hRkgjnUFJ12dE EtgMLaAsyWHD0iVkIV0OuvkqfFy9yCz7ttyu9BjaTb6ZeDQAOg9kZwMcFgErUxd37oLsVjkG Vg1BESVFE5TlILxioWlhJlk6n2rSUxHvXI9cRMPoy8mBlzlCgEbj6viNFhwpgTaOS/3P0JP2 HnksgOmApSaCjtu+nuADfPYhIMrrgubyNXCTn98FAq8KxvIO2bEPhH3DwfA/5H8f/FYgbom5 +tUWOZ8w6AxUfBBrMMRkzKDL41+bbvoUIL2snB3ReptG/9YHM53n9oj4LKsilBMM7Mi26kkG zayW4C6h9loLjUC2adQLoyDhKmPI9aiX6GWzLqqlJ7FZpNdn/L0ae78dK7WGDJgaFdKJ00ZI vRYD3lJF3vGxvxW+a5kPyIq63cEJ6ODRDqDf9+vinNvLlgjle5kikdtx+5JHG5fk8RZaB3dw g/6Kif8kiCPkXFDHv/cTh8qp0OTzORwmbV6Vkf+7m7vxHgY6vLoiWS4GhJXEewovMXbAmjPK KKxAmweoK0pgtAPsSDVItZYC9uUaFQ/eEaqo2jKC4obxQ7tBIUNDQg/lI3YOeKU6wrTf8otL E/5G+46tQFDixbCmM6gEXZX8TOUpXZwpYez71+fLy09Xf4zI069IYK0I3eSMT8roEF2ccaFt LsnFJ7cJPeby0+kgxnlL3sNxt3c8kouhgt1M+x6O5ygeEb9KPCLuAptHQpILeZhPR5rI5cv1 SK4G+n51dj5Y8BWbCsD7fDzQ4qvJ1VBfLiZuY5K6wFXXXQ60cTQeXBOAGrko9XwyX75zj4si OAZF8WduTyx44o+cRQytRYs/59t3MdQ+9tI+7dhAA0cDAz0KFtOySC479m1Ci2zdKjIRoQAv cr/NiIgkqGx8PPWBJG9kW/EqcU9UFaClCM6O1pPcVkmaJpHfIcTNhUz/oRnzSkouwNniE+iK yOOw70neJo07uv2QOAqVxTRttcSnd52S2mbm3KqJUy5mqM0TXPCO3KhBXY4PLqTJnboAffwF NceprxPx7e7fX/BWWvD6Oh5ntDr8DVLzTSvrZtBWAGJKnYBMCHoq0OPLzNTCrL1YMtZlP5Ka unjRFfCx8AxBiFKepyTqUQdBxdiY8AHvWoU8N1US8crREXuURTkWUYwQU68K59DcVj32Xd4q YSUSnrk3IOOdHSDtoWetLtqKTVevPOWRKgQtRguZls5jJBwaBPRmcf3hz9cv+6c/3193L4/P D7s/vu9+/Ny9kOM7yURn5CtYyB1ewatQwI/VY+9MW6wX4DDCgoiNaZ1df8Bkag/P/3n6+Gv7 uP3443n78HP/9PF1+3UH5ewfPu6f3nbfcGV9/PLz6we92Ja7l6fdj5Pv25eHnboUelh05vWo x+eXXyf7pz2m49n/79ZN6RZFyvCMzq5uJTA/QIKP9zWgqZDNxlLdgWpD50wB8TbAUtkAWU9o TwGzTqrhykAKrGIgRg/o8OICLp5+aAdcuZYYo8gGaftnrtjhsujh0e5TaPqb33Z+A0tEWRip c7S+zSMvUE/DMplF5a0P3TgpVxWovPEhlUjic9i5UbGiJk7gEkXvsnz59fPt+eT++WV38vxy ohc3WRSKGAZ37jyR6YDHIVyKmAWGpPUySsoF3YoeIvwEtRQWGJJW1M9wgLGEoXXGNnywJWKo 8cuyDKmXZRmWgKafkBSOODFnyjVwR0o3KGRdrIGbftgrySqmJSh+PhuNL7M2DRB5m/LAsOml +usvN/0nDsDARxZwcAWlqCdP7QWZ9y8/9vd//LX7dXKvVuu3l+3P77+CRVrRRz8NLA5XiozC 6mQUL5gxlVEV13wGMNuttlrJ8adPI0eA1EH372/fMSvE/fZt93Ain1TbMVPHf/Zv30/E6+vz /V6h4u3bNuhMFGXBYM2jjGlktABpQYxPyyK9xSRTw4tAyHlSwwwHBdfyJlkxg7IQwDBXdh6m KsMnnoGvYXOnzqUcC51xEWMW2YTrO2rqoHEymjJFp9V6uOhiNmUGqoRGHpvLzUBAht2+8hYf TByuNV/YKQiXOboAmjacUnTRrSwvXmxfvw+NLwi4wceLTIRLeaOnwgWuNKVNebJ7fQtrqKKz cVicAoeVbBQT9quZpmIpx9MBeDi1UHgzOo2TWciJWCbfj2/AF+NJUHgWM3QJrGmZ4l9mTVVZ PBrzyZAJBZuT9YAffzoPmgLgM5rEwm67hRhxQCwiOA4X4tOIOT4X4iwsIjsLCRsQeabFnOl2 M69G7FsqBr8udc1aXtj//O4En/e8pWa2HEC7hk/WYCnydprwnlmNr6JwakF4Ws8SZoFYRGCb tQtOZBJ0WcGxUVE3fOI1QsCnBrdnjTzKP2bq73BPlwtxJ8ITshZpLZjFY9k+w8xlzMwyiAcl KI7HWlhnfKrb/kwWw61v1gU7IwZ+mBC9ip4ff2L6G1cBscOoHJDMFPGxCQZ5OQl3R3oXrh3l wGMK9x3NOmXM9unh+fEkf3/8snuxya33bj79fiHXSReVFRtiabtWTTHwJ29DOQUxLD/XGI4b Kgx3iiIiAH5OUMWSeKexvGX6j/JjB9L8ESeAR2gl9N8irgYeFvXpUEsYHkBsW2ce1abqy4/9 l5ctKGsvz+9v+yfm/MQUsppFMXCOxaics/rYslexj9GwOL1Fj36uSXhUL1oeL6EnY9Gx5Ntm j1KQmtHROjpGYqvnBm9Q5Dn07iCaskT9geeviQUn4YFim2USLVHKetXcljR67oAs22lqaOp2 6pJtPp1edZGsjOFLBndtymVUX2KI0gqxWIaheKQUFyaYjf/+Qukw+DGxMiVztGSVUgf7qIsA xvTWL2hMlvxVKQ2vJ19BI3/df3vSmZHuv+/u/9o/fTssbu0g7s1NxiZI6gvwNfHoG6zcNHjF 7zAcwfcBhXbOT06vzh0TYJHHorr1m8MbDHXJsHuiJUYm88Q22vc3xsQ2eZrk2AYV+T677tNF D7EHbSEp3XwvBtZNQTMFnlxx5mu8EyOqTgVQunElQl0x4AIXE5DBYM7p3V+b5SGXTdc2CXUb WtQsyWP4H77+PE0cl3ZUVPGA9R36n0nQ0LMp1Me0RZuCBVHq6yYrTawu2VAYjopO9ygrN9FC e8Ir6cjrEeiqcLbQvR2Nzl2KUMqPuqRpO8fY4ika8LM3tzuFIxz2tpzeXrpcg2CGBBlFIqo1 LOIjFDDO7BkUnU+8Ggfr4fyzwO1CLSsiPjmjVv06zFIeFxkdhx7lBUYRqA7qc+EYqofnZups 7zt9QATilobP0iZiX6MjQV+HeUEoqZnAueAvL+rrF6Vm20/jvA7FKDBX6+YOwbRPGtJtLjlP rkGqTAs0gsPAE3E+CYCiyjhYs4A9x1RcwxnBjaZBT6PPQWnuhB+62c2dsCKCmAJizGJQEg44 C/W32BUHykNXF2nhvFRFoehnuuQ/wAqPoChTmEZO3pmFCvtq1AOcNOBJ1HURJTqOUlSVIGcp eiHijFj84Id7IyxX9WtEKvM5TQmgcIjATB/o/PGZHuJEHFdd051PptQR2Yfoz4oK7zUAYZv3 zjfCUNdJ0aRTt4GRarG2w+y+bt9/vGHayLf9t/fn99eTR+1y2L7stif4/Mz/EDkWnUxw6nbZ 9BYWxvXoPMBgAC/I93hfYERi1nt8jYYP9TXPtCjdoax/ps0Szn3sktB8IIgRKYhCGHB7fUl8 s4gAHWAoXK+ep3rNHspKQK1sO9+bF5VtJuplV8xmyoPkYLrKuUUd35BDcJ4WU/cXcwTlqRsQ HaV3XSOcTY+Z0UDoZV8kLxMdN21+F0msUhLUDb0qUGPeF5qCUq061Zm1SEmHFCiWZUFWaA3r 1ekjbCsdR2DrnH4Wc5LxEj27+ZyeMiTFrCc6ua5GK5Aq6M+X/dPbXzoD6+Pu9Vvo9VZi2bIz 9wiotIJgDN/inRgmJjQt5ilIUGnvqrkYpLhpE9lc9+GjVlIPSpiQ5XebiyxhQvM4fOdfeQLV Y1qgyiGrCug4p6f+EP4DIXBa1JKO8+DY9faS/Y/dH2/7RyPzvirSew1/ISN9iFLNlacnazGg wL/rbmhmwG6luhp6fTm6GtP1UALzxTQ97o2hCtRzVSwgmfIWEjMo4v0oWJfUZaS7Xus7xXgn KRNNRPixj1Ftwqvn7s1aVYrmu7M2158oVtKdjfm8XfQTHeYoK+QCvKLxu8OsxlmZg/b3djPE uy/v376hJzh5en17ecd3bmiSDjFP1E23iuSMI8DeHa3n7fr07xFHBXpmQsX2EIfenBbOI0lU PTMKNTOYNkZ0KHSyJ0PXoaLMMPPF4PLuCzS3f/xTs53Wwlytx9PBWSUKR9uoiRve7aKRU2hN XHtlqFtvYUH9qcP2VOnripBdHL813e5Y6FDlcNCxdYGt0cQb9OUSromcC5RwfMfUvZGvi0O8 Ohe5kCH8tljnjnlC2SyKpC5y7zK8i4EpNDkQhgo+kPohIIeWYc6DIyurKmLRiC4MqnKo9CVm XnAxvCUVnLNRhRqZ2chklgILCJtpMceKV5EobS3YrEM1MNjY0EhQ1xW/ZRa/LmuVdeW8Ubvc Y5CrLIQo5525Ru6j3DSdpHTQ6eac3v9PDYCBwGQJGCdDeIwG6kgxTChWVer9kM9Olh4z45q9 olztB3ypUViKmsbueQjsqyvgmXgjjQ0NkRqLNyb0ej3wFZDdHRXSq3igQA0uWsyu4BzvGpGo XCjMuGq0FjZPPeDZ1Wk36bTYUXp3X/1eu8xIYY8FJx2YhXfQLhJ1zBhFA4hOiuefrx9P8FnM 95/6VFtsn745EkMpMMcw3hgFPYrd8gSPyYpaeeisRqJkB6NH78zGssH8AwvMNNmAVM5usvUN nPhw7scFJ3mpwUDTU1u6iZWOdUwHYMIp/vCORzfDV/WuDW4mKDCTn8GGdTFFuqOPg7CUstQz rS2QGDpxODL+6/Xn/gnDKaDlj+9vu7938I/d2/2//vWv/z60TyU5UUXOlXjeX2rpxeZixeY0 0YhKrHUROQzfkCFWEWBnB5lF1YAM2cgN9Z6YVQY9xO8DJsKTr9caA6y6WKvQSo+gWtfOdScN VS30uIK+nluGzM8gBjsjmgJF+DqVQ1/jSCvvllGG+DNHNaqB2cCoT//ssmu67y+nV/0/FkS/ DdRdJdjZirt7OqBC0i4pCRpDJ9scXcKw0rU58cght9THbCCa6I32lxZ8HrZv2xOUeO7RAk8k XDOGSd2EI1v66Uf845VVuBTKHjv0xj9KBHmnBAfQw/CBKCsYOaxhoMV+5VEFw5M3ifcWofYA Ry0rkukdFhFPLl0NjsoUterxiGERByn+YS0hCeaOwhzi0rMMIg6PXKVy9Rx4PKJ4uzoISN7Q W1n2XROnu/5AAZfWmlTF6FCukqs2CMis6FJgjenQ4EXRlKmWrdSFY5Vvlw4dGqbz6LYpuA2d q3e6oFtEslXiRK8ZHsfOQatY8DRW0595w8Ygu3XSLNCA40s7Bp2pPIEqBreKPRJMe6KmDClB lM6boBD01996QOy4LpYsPlVZ5HJjZdTpH061ZoEVXh9AekcQwdHH6dKvpATDQooy6h1eE6VH kZQZ7ELQQtneBPUZAHdTU48c7zYUmPGdk02WEQpSy6hYddOqWEoi6hHpW6cTNhqqY6xVdxsM hWPJK1xcwCBeQbzjOITLrMPDW4mFZYN3G8nkiCo1zssl3ZZeJdQG1+xe3/AEQcEnev737mX7 zXlsb9nmrDeLleY99TKXDfSaJ+WvYbjJ4zj/vZ0MnKpAkIc5xBnUY0c9MYb60CskMxYudHKI ChVR/qxWtGiRqlqV4kGwdllNBetXVFJbrq9P/8aHRIkoW8GeQ79qowUqFcrDVgkLZfCW0NF5 C24XGO+2e6pnSY1pQLq4iFSXnH7/H9y9NnDKSQIA --9amGYk9869ThD9tj--