Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1752076AbeANQOE (ORCPT + 1 other); Sun, 14 Jan 2018 11:14:04 -0500 Received: from mga12.intel.com ([192.55.52.136]:6716 "EHLO mga12.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1751759AbeANQOC (ORCPT ); Sun, 14 Jan 2018 11:14:02 -0500 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.46,359,1511856000"; d="gz'50?scan'50,208,50";a="21235295" Date: Mon, 15 Jan 2018 00:13:12 +0800 From: kbuild test robot To: Rakesh Pandit Cc: kbuild-all@01.org, linux-fsdevel@vger.kernel.org, linux-kernel@vger.kernel.org, Alexander Viro , Jan Kara Subject: Re: [PATCH] vfs: remove unused argument in iterate_bdevs Message-ID: <201801142317.FeW7w0Gd%fengguang.wu@intel.com> References: <20180111140406.GA10714@dhcp-108-107.ws.tuxera.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="KsGdsel6WgEHnImy" Content-Disposition: inline In-Reply-To: <20180111140406.GA10714@dhcp-108-107.ws.tuxera.com> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org Return-Path: --KsGdsel6WgEHnImy Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Rakesh, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on linus/master] [also build test WARNING on v4.15-rc7 next-20180112] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Rakesh-Pandit/vfs-remove-unused-argument-in-iterate_bdevs/20180114-215207 config: i386-randconfig-a1-01142254 (attached as .config) compiler: gcc-4.9 (Debian 4.9.4-2) 4.9.4 reproduce: # save the attached .config to linux build tree make ARCH=i386 All warnings (new ones prefixed by >>): fs/sync.c: In function 'sys_sync': >> fs/sync.c:116:16: warning: passing argument 1 of 'iterate_bdevs' from incompatible pointer type iterate_bdevs(fdatawrite_one_bdev); ^ In file included from fs/sync.c:8:0: include/linux/fs.h:2475:20: note: expected 'void (*)(struct block_device *, void *)' but argument is of type 'void (*)(struct block_device *)' static inline void iterate_bdevs(void (*f)(struct block_device *, void *)) ^ fs/sync.c:117:16: warning: passing argument 1 of 'iterate_bdevs' from incompatible pointer type iterate_bdevs(fdatawait_one_bdev); ^ In file included from fs/sync.c:8:0: include/linux/fs.h:2475:20: note: expected 'void (*)(struct block_device *, void *)' but argument is of type 'void (*)(struct block_device *)' static inline void iterate_bdevs(void (*f)(struct block_device *, void *)) ^ fs/sync.c: In function 'do_sync_work': fs/sync.c:133:16: warning: passing argument 1 of 'iterate_bdevs' from incompatible pointer type iterate_bdevs(fdatawrite_one_bdev); ^ In file included from fs/sync.c:8:0: include/linux/fs.h:2475:20: note: expected 'void (*)(struct block_device *, void *)' but argument is of type 'void (*)(struct block_device *)' static inline void iterate_bdevs(void (*f)(struct block_device *, void *)) ^ fs/sync.c:136:16: warning: passing argument 1 of 'iterate_bdevs' from incompatible pointer type iterate_bdevs(fdatawrite_one_bdev); ^ In file included from fs/sync.c:8:0: include/linux/fs.h:2475:20: note: expected 'void (*)(struct block_device *, void *)' but argument is of type 'void (*)(struct block_device *)' static inline void iterate_bdevs(void (*f)(struct block_device *, void *)) ^ Cyclomatic Complexity 5 include/linux/compiler.h:__read_once_size Cyclomatic Complexity 5 include/linux/compiler.h:__write_once_size Cyclomatic Complexity 1 arch/x86/include/asm/bitops.h:fls Cyclomatic Complexity 1 include/linux/log2.h:__ilog2_u32 Cyclomatic Complexity 2 include/linux/file.h:fdput Cyclomatic Complexity 1 include/linux/file.h:__to_fd Cyclomatic Complexity 1 include/linux/file.h:fdget Cyclomatic Complexity 1 include/linux/list.h:INIT_LIST_HEAD Cyclomatic Complexity 1 include/asm-generic/getorder.h:__get_order Cyclomatic Complexity 1 arch/x86/include/asm/atomic.h:atomic_read Cyclomatic Complexity 1 include/asm-generic/atomic-long.h:atomic_long_read Cyclomatic Complexity 1 include/linux/spinlock.h:spin_lock Cyclomatic Complexity 1 include/linux/spinlock.h:spin_unlock Cyclomatic Complexity 1 include/linux/rwsem.h:rwsem_is_locked Cyclomatic Complexity 1 include/linux/workqueue.h:__init_work Cyclomatic Complexity 1 include/linux/workqueue.h:queue_work Cyclomatic Complexity 1 include/linux/workqueue.h:schedule_work Cyclomatic Complexity 1 include/linux/fs.h:file_inode Cyclomatic Complexity 1 include/linux/fs.h:sb_rdonly Cyclomatic Complexity 1 include/linux/fs.h:mark_inode_dirty_sync Cyclomatic Complexity 1 include/linux/fs.h:iterate_bdevs Cyclomatic Complexity 1 include/linux/slab.h:kmalloc_order_trace Cyclomatic Complexity 67 include/linux/slab.h:kmalloc_large Cyclomatic Complexity 3 include/linux/slab.h:kmalloc Cyclomatic Complexity 1 include/linux/writeback.h:laptop_sync_completion Cyclomatic Complexity 1 fs/internal.h:__sync_blockdev Cyclomatic Complexity 3 fs/sync.c:sync_fs_one_sb Cyclomatic Complexity 2 fs/sync.c:SYSC_syncfs Cyclomatic Complexity 1 fs/sync.c:SYSC_fsync Cyclomatic Complexity 1 fs/sync.c:SYSC_fdatasync Cyclomatic Complexity 17 fs/sync.c:SYSC_sync_file_range Cyclomatic Complexity 1 fs/sync.c:SYSC_sync_file_range2 Cyclomatic Complexity 2 fs/sync.c:sync_inodes_one_sb Cyclomatic Complexity 3 fs/sync.c:__sync_filesystem Cyclomatic Complexity 1 fs/sync.c:fdatawait_one_bdev Cyclomatic Complexity 1 fs/sync.c:fdatawrite_one_bdev Cyclomatic Complexity 1 fs/sync.c:do_sync_work Cyclomatic Complexity 4 fs/sync.c:sync_filesystem Cyclomatic Complexity 2 fs/sync.c:sys_sync Cyclomatic Complexity 2 fs/sync.c:emergency_sync Cyclomatic Complexity 1 fs/sync.c:SyS_syncfs Cyclomatic Complexity 4 fs/sync.c:vfs_fsync_range Cyclomatic Complexity 1 fs/sync.c:vfs_fsync Cyclomatic Complexity 2 fs/sync.c:do_fsync Cyclomatic Complexity 1 fs/sync.c:SyS_fsync Cyclomatic Complexity 1 fs/sync.c:SyS_fdatasync Cyclomatic Complexity 1 fs/sync.c:SyS_sync_file_range Cyclomatic Complexity 1 fs/sync.c:SyS_sync_file_range2 vim +/iterate_bdevs +116 fs/sync.c 97 98 /* 99 * Sync everything. We start by waking flusher threads so that most of 100 * writeback runs on all devices in parallel. Then we sync all inodes reliably 101 * which effectively also waits for all flusher threads to finish doing 102 * writeback. At this point all data is on disk so metadata should be stable 103 * and we tell filesystems to sync their metadata via ->sync_fs() calls. 104 * Finally, we writeout all block devices because some filesystems (e.g. ext2) 105 * just write metadata (such as inodes or bitmaps) to block device page cache 106 * and do not sync it on their own in ->sync_fs(). 107 */ 108 SYSCALL_DEFINE0(sync) 109 { 110 int nowait = 0, wait = 1; 111 112 wakeup_flusher_threads(WB_REASON_SYNC); 113 iterate_supers(sync_inodes_one_sb, NULL); 114 iterate_supers(sync_fs_one_sb, &nowait); 115 iterate_supers(sync_fs_one_sb, &wait); > 116 iterate_bdevs(fdatawrite_one_bdev); 117 iterate_bdevs(fdatawait_one_bdev); 118 if (unlikely(laptop_mode)) 119 laptop_sync_completion(); 120 return 0; 121 } 122 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --KsGdsel6WgEHnImy Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICAd0W1oAAy5jb25maWcAlFxbc+Q2rn7Pr+ianIfdh2R8G2dSp/xAUVQ305KokFTb7ReV x+6ZuOKx5/iySf79AUipRVJQJ5vabKUB8A4CHwDK33/3/YK9vT59vXm9v715ePhr8WX3uHu+ ed3dLT7fP+z+d5GrRa3sQuTS/gjC5f3j25/v708/ni/Ofjz+8OPRD8+3Py3Wu+fH3cOCPz1+ vv/yBs3vnx6/+x7EuaoLuezOzzJpF/cvi8en18XL7vW7nn718bw7Pbn4K/g9/pC1sbrlVqq6 ywVXudAjU7W2aW1XKF0xe/Fu9/D59OQHnNa7QYJpvoJ2hf958e7m+fa3939+PH9/62b54hbR 3e0++9/7dqXi61w0nWmbRmk7Dmks42urGRdTXlW14w83clWxptN13sHKTVfJ+uLjIT67ujg+ pwW4qhpm/7afSCzqrhYi78yyyyvWlaJe2tU416WohZa8k4Yhf8rI2uWUuLoUcrmy6ZLZtlux jega3hU5H7n60oiqu+KrJcvzjpVLpaVdVdN+OStlppkVcHAl2yb9r5jpeNN2GnhXFI/xlehK WcMByWsxSrhJGWHbpmuEdn0wLYLFuh0aWKLK4FchtbEdX7X1ekauYUtBi/kZyUzomjn1bZQx MitFImJa0wg4uhn2Jattt2phlKaCA1zBnCkJt3msdJK2zCZjOFU1nWqsrGBbcrhYsEeyXs5J 5gIO3S2PlXAbousJ17UzVTOhlex62y3NXJdto1UmAnYhrzrBdLmF310lAl1olpbBXoCmbkRp Lk4G+v4qwwkbuPLvH+4/vf/6dPf2sHt5/z9tzSqBmiGYEe9/TO601L92l0oHR5S1ssxhQ0Qn rvx4JrrQdgUKgltVKPi/zjKDjZ1NWzoL+YB27O0bUPbmStpO1BtYOU6xkvbidD95ruGI3RWV cMzv3o2msad1VhjKQsL+s3IjtAE1wnYEuWOtVYmyr0H1RNktr2VDczLgnNCs8jq0AyHn6nqu xcz45fUZMPZrDWYVLjXlu7kdEsAZEnsVznLaRB3u8YzoEFSOtSXcQWUs6tfFu389Pj3u/h0c n9majWw42Tdca9Dy6tdWtILo3esE6L7S245Z8C6rcOKtEWAMiXasBV+c7Le7bY4BEwLVKIOL OE8F+2H5KiVaLcSg63BxFi9vn17+enndfR11fe814F65m004FGCZlbqkOaIoBHh2nHlRgOMw 66kcmkawUihPd1LJpXb2lWbzVaj8SMlVxWRN0cBagw2FTdzODMWshrN09pBZpWkpLYzQG2/y K8Ar5EjOusYcQDEc7LK3OZFhNg3TRsxvgeusCOwqR/hiVAsd+tPNVWrnQ5GcWUY33oArztET lwwd3JaXxCE7A7qZKNfenWN/YMZraw4yu0wrlnMY6LAYoJ+O5b+0pFyl0M3glAfltfdfd88v lP6urtGLS5VLHl65WiFH5qUg77Njk5wVoCE8fbch2oQyHgY37Xt78/L74hWmtLh5vFu8vN68 vixubm+f3h5f7x+/jHOzkq89ROFctbX1+rAfCk/dbfvIJmxEZnK8mFyAhQHBYL9STrc5Dbwe XESAueFxIcmjsaQjx7jqafvpOapUh2eHq5NGlcPldXukebsw06NCa9QBL0CTHDDaFZxfiM0j CdcmIeHKpv3AYssSfXAVWhHkeNAsljxzcCPiFayG+CNw7yMRYAsrAuztulI8wzUn6AOgen0S oCu57kOVCcUd2EguFfZQgHmVhb04OQrpuLWA/gP+8X6WjZa1XXeGFSLp4/g08iYtRF4eEwGg zv0VpJBnhgYGBNoagxDAnl1RtiZwKHypVdsE2uQws9OMMJgDH8gjJfft/PDkhesFGpmbQ3yd x0Ah5RegKNdCUyrqBSaYGvYXAgkTThYPB2fS8w6Nl4uN5LRx6SWgD7xSBxctdDE/46wp0v1P XY5RaGF6VuQAEOSAy+EiWmALprem9xkWrBPesCuwIXXUTS3sXDdezxDHulnRMltTYGzSaAEu eEYvMDTcUvawRCO2cSBd52GOAX6zCjr2bi+A2DpP4DMQEtQMlBgsAyHEyI6vkt9nwfHwfVSG GMCdLCY0ai6i25CIYXBL4cIaYIesAXcEF87fZ5kfB4kV9Ne2BBvKReOwiktqJG0abpo1TAmM NM4psF2hgqV2OBmpAvQsUUfC5Ri4Uoj4uh43EEvxZz3BFcWK1XmIQzzC9k43oDo7l/7u6kqG Fji4ENO17iebQTjZFS05y6K1IshDuJ+g98HuNCqcvpHLmpVFoH5u5iHBAZ2QYFZRcMykCmfH 8o2E+fUbRd8taJ8xrSVt5laCrxsF+4PwBYBtsLlr7HJbmSml86cyBlF7egZeHbYBNRksGRWj DaJuY/G6YhQQadf03FGDXCQWbRWmaXKRp3oLot0ec45Gmh8fnU1wWZ+3bHbPn5+ev9483u4W 4j+7R0BmDDAaR2wGCHIEIzOd9wkTZMJUu03l4gTyNDaVbz84Qcp0Dpk8l68Yr03JMtowli0V JppSBX4LW4Mq6KUYotrIHlhROVfQbQAWF5InYRW4uEKWUWSiPC0yVAOtX6K7/U0projZubMK +kh7gMvqb0fY/y9t1UA8komSdkY+yUQjdBzPpaFBeeEeorvhCILn5gYRquQSl9HWcYsECeGJ I54DrAvg+pKlCRcJlwrhEUwujdrXaVbMU7WwJAOcAN3AUzuw5AVlyiPDN6YLnOhKqXXCxDQx /LZy2aqWCNwMHALGSH28mmwHJmLBiFpZbAefOhUAmNQnPghYCU5+C0AEw0vnJVwRIJmjFkuw NnXuk/L9wXSsSRfKS2p1IJdiIsdbXcKlE8wbxIRXySvQgJFt3BxSR4twCI6v1TWgftgDGcLc 1D4RB7NiOke07UCbFdz2qIDqhBh/MEG635e8rVJ1dNs8XqR0XyFc8dC/8Fmg+OS8MvkIglcN ZvTTDfdUn6Cc4eWqnUl2ywaQtMt4DClPYvJGcLSQHdgJO9neJYClpmyXsg419zARsxvO6IKp knYbWpxACDwVWgP4V6tmSxqZQNprLQSD67+T1KDGXnrOFIGsO060IE4lEnAYMymHksqActYp xEwkQLvakmk6EJlIwwIUGerbFeZs4NjAy6fa6s9dOhGvr4XGACQ1oNOMx4w5qzFdJvqiCYaa 6R1Wea9CjeDo5gKkqvK2BBuK1lyUeLlKwm45DpyXqqb1pWlVLxFA5aJtZtzqY3z4oGxDNcKW EewYh4W5rYjNx6Je1iZ2EaL5GjwWbPclGJtgkqrMEaL2RanTCYPxHhSMetBgciNwlUVxwPu6 mW5wqe6wSUEno1xUwsohOa8vr/4r4QHhUDHS3gNZcGU2aBTAoXlW2txrzYyMxoJVW0fpsYE2 CSl8ZYmrzQ+fbl52d4vfPTL99vz0+f7B5wcD46E2/fQOLdGJDXgqwtPeUvbu3Lv7lcCLE4Sq CN8gnglvo4PsBsHtxXEQX/ibQ8xkuFMuHVcC0GibKLRCR0ctwNTHAfavXbkSBm7ATLQ1kYva VxmZVQgbdBVUHdwqfGPAR+qyDl2GL0zPMHGkOd4e+bniTu7EXPJ8FJnnpI31Jd10Qu/TVRd9 xrR5frrdvbw8PS9e//rm08qfdzevb8+7IGS5xtseVfYn5dtCMEAswmd/whNyTEz/DxJYpKRO GgWrxnnuuOsM7EkVnfoSrEkhaXMFARFcuNymcxBX4HpzLL33ETppDlDSd1E2hrZDKMKqsZ9D CTmpTNFVmZxZ7l7p+gJewWTZ6mT5pyfgvWS0pz7VBXpqvbfrHJokg/PVFvAcBPjgX5etCJPQ sNNsI3W0UQPNI1u6IDmI7JWSitAhRB2GGyP8TdVHuTMWft/139cm9qJJXhk8SaaU9fmO0byc fTyn8xofDjCsocNv5FUVFZBW5+7t0SgJTtDKtpKS7mjPPsynVXXgntHc9czC1j/N0D/SdK5b o2jtrpzTFqqmuZeyxvIpn5lIzz6lk7CVKNlMv0uhcrG8Oj7A7Ura21d8q+XV7H5vJOOnHf1s wDFn9o5DeD7TCt3JrBnp3eeMdXBXGlOx/aMkX2b5EIqUxwkv6r4Bxw1mt+ZUphcF0H84IZfC M20VWx64ADGhD77Oz1Ky2sSUStayaisH7goIw8ttPG9nBiC0qUwUh/Q1RYwFRCnIYAZ7BLPp jXQASHuyO9/oOeDAAZNNiMMVYq2eMlwgUAnLyL7aikf0VSPsPtPU0/IwLq/day8TVPu8CTeV ndr1auYlCDjuqrEu7KIsYs/eqBKsJtPbeGMd80CzAWWGyoXhN+L+RAuwMtvERW8ka6EVpm2x upBptRa1M8UYes26e574OiBgUbEUEChsJ6z00AeyP9rYQdc+mKhmdR8bYkhkVgAmqKF+ETzZ EAsAF5BrtxkCaI+ggsTv16fH+9en56gWHyZrPLRoax4lyacSmjXlIT7HAnsUfIcyDp2oS0EH 3u5o3QZDIDXj/lJG0PT4PJPJvgjTFPIqvBBWgUHKArwoP67jNlqgckCzqLQLyBtMgH/1MtrQ gegXT9vZvQwsnvLMez4Gos6yFiyukLmTN/N7BhdYUl3XCl9uJIijJ53RGKrnns+wN5VpSsB2 pxTyGZkYtoZjDpyTw72euIYHRY5pyLWE3YPoXNiLoz+zI/9P4nEYWVQcoklYcwfuSG+b9Nlv AWDacxnxxNUFBfNs5ysGDI1vpoK7I0vU9XJAyPgkqRUX++cOB9sOk6pY3bKoWDXOyPOowp5v HPfWOXfu2wUB1Ngd3uvQ3vqUk6iyGOZG5L7TSdFgCM6XbZPsWC4NZzonOu43InxYEydgenTt H7XiwFTVyClRY93knN8723tQLEvxuDAUPsEb7dlqC4Ysz3VnZ1/++1hBYXpq7G1tgj0fHl+6 5Jh/+ZXri7Ojn+Nn8n8bh83RV5egV8aVzHt3MT5iIlKJ8xkoX7Owq6bD6g+Fe0oBPg2xXgBH wogcfqT1iD0petyHtQstmLn4aZzDdaMUpcTXWRv4xmtTDY+5x3PqX1rDBjdJqDb23rdz2k2M Miiqe8s91Lrm8jNwpEJrxE4u3+3NEj7BCO48FpYcHctT6yjX64vK3fBAbUwp4LMXsE2rimk6 reh8AOLkLoOwHjRZ69blDWccpX/IiUmry4vz/QWAgGDViaqdXq/KaiqAd6v3+eLUW8G2Uqoy 5jAgtIzyJqKgA5++GkL7quvu+OhojnXy4YiYATBOj44i2+F6oWUvTkM34jHwSuMTxpnX1leC CpnQYkhErHC2Gl3Uce+her4W7t1t7ED2iXiXmIwhinu951qF70KGUVw9F0Y5iQZZKYslmf6l 3pimBKuJKYsqFKB2w+dHQqHg5vqS/iY30fsNXuUut5nRVxh8GpZRy9wGbyI8cH36Y/e8AOB6 82X3dff46pJ/jDdy8fQNP74KEoB9Pj/wWP1XJ2M2cTzAnmXWEqzZtibPCjxdKURwyQdKnFkE Kj7oGmRHq1OBxVyLufRTUyXCk3TWyPLV3b3w5a8eOgcFiQOVAB4WRfDXgKydmpkxYR1e5go/ e+rLGdikCT9zcpT+MYWfiIP6JvhcbPQcfKhBL8ncn+8r3Ts/JqDhwkyjhFBGi02nNmBsZS7C z4vingQffMxcPyxdXsYsQLFtSm2tjS2iI29gdDXXdcGmDfKZigDyXD5CCzjj6AnGsCM+97AP rmi2jF6PxczJZGRTUclfx5uxFclwbLnUoFN0UdbJ9mHppA/eGqtA901+sIrl+3BOvG0AieXp 6lIeoX80sHEL4aiCau7DTbiASd7ET13Vlsl6Qh+2TKo0A+F1PaMTy77tzHPPcK8qYVfqgBjg jha/ssAnFpeAojpVl9RT0fFys0ZMHs4M9P7tRjwEMsgJ5I0tDoT1/jJeAeieydtjVUs1oEty JmE77Dz8N3mZTRGsxCVZ4PTQswWHFFteFAAvCYCuf1DiXQOljWik1RjfRV24p/7JBxVhOwkB B9t2WcnqddoWgeclwiHyg4pF8bz7v7fd4+1fi5fbm4cobzPYijj956zHUm3wYytMU9oZ9v5z gKjQ7dgpCp5KDGELdhS8551Jh06boJIYthHk8KEknop7q/3P56PqHOB5PfOknmoBvP6Tps1/ MY7Dga2VFKaJdjp+8ExKBPtB8fe7QO7X3KLpUx+XOjPYfl0DDEM1/Jyq4eLu+f4//tkoUZts nIeajVIaznFMHHK+gtm7w1Qo7Aa3rYbbs46KWjGLroi44saVu++VonbNhS8NAGwAOj4Nr2Wt YvMy5XcJeo+lZPgZYswysaF1SzjztcP5+fW709Xu07qTtINS1Uvd0qZ04K9AnWcFxKiYemKc Xn67ed7dTZF4vK5SZnNLdh+444c3rPFha6hv8u5hF1u6GNUMFKexJcvzGOJH7ErULe1PEGFg EGXGBly1TTnjiL1up4bezTl7exm2YvEvgBSL3evtj/8Ocuw8Ol8EHUuFYTrtCh27qvzPAyK5 1HQVyrNZHWBYJOGIMcX3ENOGgRNJ92WnSZfB6+zkqMRnHnImLwFSAiODrJ1fbWUoFIoc1+9k 1APlf8Rzlnwsjiy8UaVwn6n3S4xaSrWZ7bXRNO5xPGbI3Lsbsn+COuYaepCIepIqUr57uf/y eAl3a4Fs/gT/Yd6+fXt6hhH7sBjovz29vC5unx5fn58eHiBIHq3xXkQ83n17un98jZQQAEw+ PPyNFjDQD+ErJ9cU7oHMPkaHkV7+uH+9/Y2eTnwul/A/afnKkgmS/iVfkCfzf6+jf9o33kND fRhvOKY6okDfUVbaI3jy7FQ581k7KyX1gKIW9sOHo+Dl1lKENwoLW3UW3htMY4e/Ky5Z+huU koEdlGESFJr5reh3+Yfbm+e7xafn+7svu2hft1ghpvUyP//p5Gfakn08OfqZfhCgYbNzSf8d AWfAt6bIJmor/tzdvr3efHrYub+os3AFx9eXxfuF+Pr2cJP4iEzWRWXxoem4YvgRFx17IcO1 bNJ36gy/TA3TV14WyeTEe34lZ17M4Mj4jJyCTz6pdZr+HYn+GZ5UUSq4FvubUe9e/3h6/h2x 0sRJApZbi+ipE/4GY8wCo9vW8ipcJP52IsQs/aPZ4ZiK8FM2/IVlMVSyhIp/pCZCDUhEsEmf PnJNmwEqKCWnokon4aslIhnK1Y2MlTyZJ76GV1W8g91abCeEab+yDrdQNv5TnP4D+1HVG/yA DMF33rn6P5WmAKGmbqLO4HeXr3iT9IVklyyl75UX0ExTqoQrkU2c8fa0pcYvlqp2xuRgv7at 66huCOt160knKCtTdRv68dHIP6Es6LYGdVdrGb6H9cNvrIxJbT6dEtIL1U4I4/RNfHodWyUE YZopJdDeAIu5ec1WBRzfKZgfmTp0FJls674d1lr7Iln0R3NSicMdZELYybzTSzzW5HiDDni5 V1nqqg8yvM3CSuwQmw78i3e3b5/ub9+F7ar8g4m+vW8257H+bM77W4IPb6gvsJ2I/1IXr3OX T88Fgjf65SuyJid8nhxxxNpbh3iKlWyo5x++TXDqaXd7ajJf4sBntep8cvj/SBQV4R8Juu3v P4VmM+U7twlG2snGAK0715TaOHaNhXVXFbfbRsR6QFgYIEb3eaBQ++iOpf8Wsq8uzM2Cslt7 8qFOYnnKkiW7IZYQ5l7OW4C90KoKiwBwIhPQDjT841pYikwrsIG1ayxcvpIZI4vYhbm2zWrr sCg4w6pJ/uQJyPhvveYMd875rNMxfMYh6Zk/HWHn/pwTsxWxtPLERpcQf1NVlVhgc0o5GRvc /yU4yvFXFf7ItMzDb5v8704uK1hurVS6fz1/U/4/Y1f33Tiq5P8VP90z89B7bfkj9p4zD0hC Fh19tZBtuV90MmnPTs5NJ32S9N2Z/euXAiQBKuz7kJl2VQkQgqIoqn6QQifN4YHZKr8PlDAn 7kIcoxsLWeR2HiwMT+tI6/ZHs9kGI1eM0T9Oo4Ki8GeZiXuSRYE541rrh465tZzIDcmw4dgG a6NUUpnbkrQs7GVpk5WnyhPPzCil8EZrPJAbOm6CYdK/cmTUGheQLsRLgHQzvqsYcQTiXo4Y rf/n0frUBjvD9z6GSOxxZhsiBT4XDIkczMqbNXmPGcuKFke19TWGCkCUUDODrqc4GwEII2Il Jm8zJhA/oMdYce8Ul1eZY98Bpdvz0paRK5EVm6LATSwAt5Rj9rQcE/J1Y3q0n8+WgIQGBsaE VUTcsDJrM+6yTiSQkxVcW1leIQ31IpVwzbADWUNCqejYrr4GQCF+7mw8i/CLtQxI6IampiRX Oby+t0/gVEcBJNr7wdnH5f3DyXWTjb5v9hRb61OS1ySWkBjKF/Dw+K/Lx6x++Pb0CqlzH6+P r8/G3pKoiT/qB/FbTIKcADyC54BDNKAuMcVfl3xAGiPtfwXr2Yt+jW+Xfz89XjBPT37PPJlJ m8qXEhlWXygcEyNNCMlZjOsOjueSuDWVxEBPEbr4OhMarQxNfSbWUWBEsM4PTVAxQKugcW1R 6gQmnTVCemLXNChKjyimMCNLNEHomEm2d8+CHOQS46YsrpzKU7zvQ0Dt8nM8doLgcZolLm6n yUe0nnKJP/+8fLy+fvx5ZahAcyN2IB5zW7HjJlvg/SiYYbOM7B4RtOxAbb9bLws1ud0VsWMa 4Z5dwc7rI5p/mgh1UVf2Cb+mSbMSN64GCRmN2WUlCs0xiPXhkqM5194T9HQ66e4jw+djaaiR fGKAHcttvZnsYXHHerhniVUbvPBUYvvIkLN9bKKF9WKQrdMnFIMIuG2sujIWTupSw6FvxMvl 8u199vE6+/0yu7yAP/Eb+BJnwjyXAqOa6yngWZKp4RIRTkIiz8f3zU0MZflTR7BJ4N0xC71O 7pmp9dVvOS+s/ldkVlQeR6MW2FceDypo+h3qZiQssdURS66ccki2KEysoZ7CxNcIrQJplXY4 1mqRmHufRIw7tmeNiWwBxCJiEwLkWFpGtCa7M9pgp24xPI2l/asXyYe3WfJ0eQZgou/ff748 PUrn8ewXIfqr1iTGYgcFNHVyt7ubE6dYltuEJK4mhI4Fkdv+qlivVsDwvIDgL5d2SZKkyzLI MqfDRkKwyFjtvAkW4v/kSgN4M/0WijZtgqbzyv12baULsb+dIruV2y1cJqe6WF+XaXbrNEHZ FSeAQeJzdCaWX+DK3j0GwFY73HwPiYI0s/Ej5L6OHsEORkoBNHdQW1qiH4axWrFi+1RNYmI/ PWryrHS9+geFCJXSrDK1rkUWOrlJDQA+UXGTV4mDtKVoXQ45b+gemhQxyRx4k6pWFSWszmXs lwTgRB5PTvLEyWzj8AwrtAofebRtajJIGG0fylHBU8N7Dy1CBbqEZFlI8BhIGQwFGIb9iYzd L6C545odUUNRs+mxpnz6GJgw+lmxOuWlxxLmZ26kpKMiAxhvddCp9dgibkpBiLCDIC0WSOvg SP22J7CmWZNX0/KcldOHTQBlTUtPfRq8sRGHvQAA7ceAjprY3wyYMiVXQWdh/QxYGjKzQ8+V Px5+PqvT6Kf/+fn68332/fL99e3v2cPb5WH2/vR/l/82Qjmgbghnz8Oz+CTjWj0whL3ZM60g coMNORJw7OlJWLGLYrhXwxYi2MmLzESBKPocUEO2Y6THZBkS/ysmoEUSMlVlPGKapzGWBfED QjdlOqow2sw9vslSwRqQ6KOyoj6ZCCVuERLSTWYUeMJZpk/AouQJGAXhPpC/b6FVEqnvFGNi 3FUPbx9PchH/8fD2bujTg/gxy9XlBhKLsHl7eHlXp8Wz7OFvd18painLygMAKZhQPQOPOeQo Sx/DpC01yf8pdrr/TJ4f3v+cPf759MPYlpivaoaSAuEzjWnkzGGgi2nugsPr56VLSAH38Cmz KDWKnvUGwAmF4hajf5JnNRHMPIKO2J6Wudjen926QDuEpLgXZnHcpJ0HrWAqiJ0cImKrG/Vt /7NiLKDVKXsZYF3I/C8j2b5XkMzV9GOxrVuL7wB4eAJCxcTCeaUikgsTJp5WJhZ3MqXqgExz 6pLcIZQOgYRcwR3JoZ8//PhhBG7KbZWcAA+PALDjjH8FFNdnzTkDGHKMrNXLIOqACZzXZz5t 7cwnUySjxW8oA766/OjjbSnAVkE+kFSRZMSE5ZY9kMd3m7a2M9OAwaK0rT3AF8CnPAyu8aP7 7Xx1tQQehUEnm+QVEabpx+XZM0Sy1Wq+b912OyFjFscOLRppEjP5nFswl1J1VQCUEMf1pHNk nOMRAPQwO0uWnJGmJpNuzQArXZY50bz88vzHJ7ARHp5exKZeSF9zIUIVebReY24JYAKMa/+9 racGRneqWUMV1CsOZGiLOzPaVDlRWgXL+2DtqCIu9mprZ1LybDItqxTpKPEnqJNOip/e//Wp fPkUwbycbELMdpfR3tiEhnDjhVhnmi7/bbGaUpsxwVkOPAAVpVHktqqndzzHNp+9iP1+8qEw ShEqFBVGk2/Ec31S4Z8Z8HRMAZPWHfJTOa+zZZAopf4QvTHZEU1lhc1eXpmysmGM35cSG+iG nPhIHvCjXiQiCWZij3y+Xi8nWkCy4D+cYU77QWSKay7XroLqr2gvaYqsZ4yaPt7G98IIQBAq 559dvUTQgh21V3NFToasAj3yD/X/YCaUWb+x8GgM9YBXIVfMVWgW/xDi46zEomDcPEkF6WoH Co2EcUugSJ3vLiXN3nM0J1VzSbvd3u02WLmLYItd8dSzC7D0jQ2mFfMmA97kVjmnnIu91Rh9 Oj1kEsI6t1S57Y45dcOU86f3R2OnNO6waSF21hwuOFtmx3mA+rPjdbBuu7gq7XzSkezxj5kS 1r45PuT5We+Qx5PtMO8Ix9fwKiWFDxqL7yFSPMLndsOSXLovsICTiO+WAV+ZEcRir52VHIAH ITOHOddSpGJbn6HppVXMd9t5QGx3F+NZsJvPscgLxQqMhO3+UzSCs17bsdOaFaaLuzssEbwX kO3YzQ03e5pHm+XaCGKI+WKztQz1SsyeKj3gUO8HHurD4y7hZLfaYtULzdaIvhJLTLVEYvm5 s7oaNRux7t5jrShwQ8BUlDOtwOR7Hwb68IDidKQJ8EEx8tfX+Co5+5pETtrN9m6N9IgW2C2j 1jBUBmrbrqZkYU53211aUW6tMVF4t5hPxrC6bury18P7jL28f7z9/C4vEdCJQB+wd4dumT0L A2/2Tcz+px/wT7ObGtje4FPK0Ape1zKB808Cu4jKF3QHlmvuSVAduOLvhkDT4hJH5SU95kjq BnsBaz4Xq+E/Zm+XZ3m97LutE0cRcCMpy67n8YglCPlYVgh1LCiFTBAfM4KkAaQar/zrjwFu lX+INxC7xgF94Zeo5PmvrlMc2jcU14+uKLURINpMwlfgc00wSXLofbM+Bw+I4cdXCj87HuIU eMRZv7cY+78fZ4IJcZaWsgCa7xIlydSBNKhAcuBOkKbqVErpbLHcrWa/JE9vl5P4+xXTHAmr KZzL4mVrJriLPJsYEolRW4oNjOo/zNWozgn1yjLSOp1vMR53l/IuQrQeuX7iiunLQZjpXz2B izLGmnqUsWj80YeieWx9HLA5Pd77vc8tQyJOPcdVtIE9Uum7Do82EA/kfTdgSjSAWvzD0weN JwlT0Luj/BDykkxPC460wfcjOvqr8MQVF5lvhyWMV+chNSCJ0AyjGkeMbHmu7ES12EwuAT18 YUZSJOW4dpZM9U7Yvvjj7en3n6BSuco2I2+Pfz59XB4BCXrqw5XBRFZ+SB6bJybQ60dhB5R1 t4xs95B2miyj9R2+lo8CWzy76ihsB4rjuzbnKi3RkG6jRSQmVUPt2BJFkg60hKG2pVnAntoz mzaL5cKXXNI/lJEI9nz2fp1nYj+MRqlYjzbURUahhWdbqBfxht96iZx8dYIZR5alv8XP7WKx 6HwTpYLhvsTjxPXHLPLIp24gp6/dhx5sNM3Ulx9E6Jm90XChK4uGEfyt6ginw1guLSufNBn+ OsSJlbIYnlcQHN+Xwgex2bZDXdZY0LRUaySmzi1vQhGjEShjieqWVHtKhit8JoZFi3dD5Bt8 DduXxdJbGP6+goNGs1iNjhzsmbDwdYt+JiJHZgIam6yUZty+BE2Tugb/vAMbf7eBjffjyD5i zg6zZYxHVru80zxqO7jCEDcm8Dh4o57YVn8qUytjvqy6/ikdwzFWlAW40cYPRexBLDHKAxg8 au2MQhrcbDv9al/KbLJaYkORBR7X5bHd32hbcvjMGn5AVq4kP35ebG9o+9Q6e0yrBYp9Zz5w ICfK0LfqUY/HQYGXBmTD+yB/Uvd3l57M42+2D60fgu3A1gjiEQ81YkIzY34QUNhGoUp/T4qV 5DjCfRRsNb/xfdg2WLfW2Pmc33gkJ/WR2pcO5sfcl4ydg+lIutDjorr3BEfw+zN2/Gk2Q7SB FKXtdc7aVUc9Dnvguc4Ck7u+yuWnq+zkdKO1LKrt0XfPt9s1riYVSxSLG/T3/Ot2u2o9p2xO paWe5YYqjILt5w0ORSmYbbAS3BvTLD/XVlQe/F7MPd8yoSQrbkz0gghLy0aX0SR8befb5Ta4 0UiZLlCUOUXVwXa5myNqibTenQoN7r3HPPrpypM7ZbbqyGJm5XSpK+cds3D6YHnvgLOknc/e A/g1n42nk/hpsWd2YF4qTFkxWNACzxRC3hJ2Y0vwJSv3Np7cl4ws2xY3WL5kXgPoS+YZS6Ky lhad9zk0v8ts4YFkbirEF5l0IV4eLbLOb37SmsJuwcZM82zxt4vlzpMgCaymxLVovV1sdrca UVBOODrW69j6KPVmvroxd2rI1bKMAEW5/hQnuTBZbBe3XKBuDm5OTYQ4k8EyG5ySR7tgvsRO 3K2n7It+GN95wHcFa7G70RmA4l0n4s+aLzzBBwyHoG0YZTcmC895hCggnke7ReSBPaEVi3ww wlDebrHA55pkrm5pTN7IJcN6yyYXM+M/+IAHB+S8qs45JfgKBoOE4hZBBClvhUfrM+waY6MR DU0PjaUlFeXGU/YTgOcmVnvicXQ1GZqCZZR3tNW7+NnVKSs8fjMGF/1mZcTQNCyj2BP76qTD Kkp3WvuGxCCwvLWgt6zGHUzACKobnhV+LsqK21k08Snq2mzvU6tJHOMfWZgrlefzQ7pm6OJf jzaIMEGvXSIm+V50r/TsuO3H56TpBkbZbrf2uN+rzBNlUVU4nTsPSP8hHJJ8en/6dpkdeNh7 4aXU5fJNpxgBp8/RJN8efnxc3qbHBydHZ/YZVd0pxr4kiI9evVwtZRivSe01Lr0GW9uk64m9 hBaam2H8JstwsiDcfpOPsJwLblxWzZmDdAZndfj3qxnP11i0glnouCXCmFTYe94+rYn2BmC8 wa7AmGYWsskwL6cz6Y1H/us5Ns0GkyX9gLQoCKIYanKOplHUpycIUodjpOfL+/ssfHt9+PY7 AKKPIRbqjFpmzVnj/ONVFHPRJQADce2ffMcwOZjtuFdJuyA6H0gHj5FjsZcfPz+8p3Mysc7a hQNhkp5qMZMEbr/IrDvLFQfOZqwkc0VWl5ncWwGsipOTpmat5gwh6s/Qy08vQh/88WBF/euH ygOnSDU9HTKeDq2Xy4UOFHZ3+9tiHqyuy5x/u9tsbZHP5Rmpmh5RokomNT6DL8JQPXBPz2Fp pdH2FKHLqvXajCSxOdutl7PDOM19iNXypVnM76ytpMEKFp6d9iATa+yDerPF4iUGuewerx7i Cj1kObQo9lATkc1qsUEbLXjb1QILfB9E1AhEys3y7TJYosUCa4kF/BiltnfLNdb1ecTRMvOq XgQeH0ovU9BTg5rigwTAXoBvB69D72muV8Kb8kROBLPgRplDob4g0uV50DXlIUoF5VoRzSlb zZfYgG4bp2xjbnp1kpiWAI5lLDA9pSMFEXt5jLGMMWrMEGpUhjVB6PsksDbLI6NGfecWvzNh +EbOAW6oyu1AvIErF32CQtAOMpzF9MQKK99wYDa5vYMeS5bOG3RwDDInUtcMjVEfRHKyl+5M pGqJqF3WoY8VWtdJjzzARMHf5cRi8QN9na8pLdIDdiQ0iMThDut/ktPIdk2PFR7qEEJmE3xr Og4ivp6jGf6DBKwjTrblwGsrFHNg4FccJNxUcIQtlmrvjJFgX/b9VJIiowHFx4gIHrdtSrFK 2HS3pFJSCFvHA783it2H4sctoYruCT9gpokW4rRmJBPjVNjaq6kSkZpJLe7ejgHMUncp326r fLuZt11ZWFCZBtfHJPHdYtVOm6Lo3sg7S4h7tpFKKMzJAr10SZshy3Y+XqVi22sRr+5rRNdG i+XddtlVp1o9eKX2PBdr7Bq3DPRLVMSHBwnsfRUQt2FyyQ8pddKbDWbDskYbBVeqlqIxhWse PTBvUuzEOPjXu7ApPJa1epEmI/y2EJPpzo3n/t/B1BMqr9CS1wTb5rMHUlib3Ce46+VqGWdK vMF0SiLKF/NrtdR0D/eTwakkqRqGYkmrt2+rQMyEynYh68mnlnx8VKGSR6ZWXaegwwQOxO4S kuXiOw3VTAuoomTrBBtNh01dwp25cI5UWiupEonJbr4OhinvVCC5a8X11gJCm6VPa7TZElcb kuGJxrdlnAWi/9Rkid+7pvjCdiBy+cjEv0IyeXFeRlqbdMIYIJOWx/UxAE2pBspkiyjZm/V1 9t2UXeds1dl41ZJk5+8DxXlrRcuxc2nJSuZLpwBBketI6dCDWAdNu/KLxYQSuBTT1NWU1aSZ ydraNylP2sPbt/8FdHr2z3IGm3fzEja7lUiOjCMhf3ZsO18FLlH8186mUeSo2QbR3WLu0sWW 3jHTNT1iFUexjiU7Y6Fgu4XV5OSSdNCaEnbr4EHuXL/mSIie6K41Q20p7bIPkoU8Agahm1fU 07qCiz022pJBJMNjgAY+zQ+L+T2+9xuEEmFhIDBOfz68PTyC43SCkNA0ll46YvoSAM53265q zsZM0/fV+Yj6XvBgvbE7XVhdBaQ+AlBKja/JRfm19J2Cd3tPWpAExRBbGhRNJqZH60Zd8fte EXQK7NvTw/M0WFW3V94uGplmkWZsg/UcJYoKqppKhIcp0oAppxK93A6SrAS2cNjLmEKRipD2 FG6CEZmMSbSTWSJ6gZchUNQSRcq4mtfk1uKjs5wOImgdtG2o2HbiX9/qA+45TTO7+nRTpG6C LRp3ZQpl1s1+JidnEwU2sMqWTGZb8fryCbiCIseV9PUiGQa6oJy0S+8JpyniOedUItDhmZMZ akvYq6JBNEaRW+pnz2zTbB5FRes57uklFhvG7zzxEFpIjJiQ1rHv/FFLaVX/uSF7LzChLXpL jCXtpvV4K7UIxJzcrK32HIsrdl3hFr5mizEuxp4HmE3LgK/ZuoDFoEdNnYEWd5ceQYKznKLB dIhkmNZqVk11SVUpb7VxcisTG6JpWkZvnFU5g418nFmWMFBj+JM7LMvWBJbE45HtSXwXyik5 UjAN3OMXUseheHGmnHmWpAicJQ7pBKgJcbmfthh2U2WCRzemJ305ML6CHX0ZkPVyt8FNAFJV EO3vmYplca6mSW/qzGr2iKz846PnIpK+eFTpA1InICiv5vbtPSMdDanhUR04O5KqP43FT5tP TlrKUJAEENHefuMwbnu33Pw1QRfo+5dHk0fSCo1nEgN1r+7l7m8SHSdPJP4qj6VBM3n/G25n uNOwZVl2ds7g1UmP2JlNz9kC98pbQRku3zSGp6BKNzgrktImDzAvY/8DFS4eRTEpgZvLczCV Hf7z+ePpx/PlLzFkoIkS8QJrJzw06emenjXRajlHr4LQElVEduvVwm77yPgLK1X0Aj7xNT/P 2qhCkfVAQqPcAeabXSvcthNa18BromjKcC4numLYYkHa57t799dMbB4F3X8BmNVckrHFeonn HA/8DX68O/DbK/w8vlvjYLeaDZk5Xj5zdhE2k0d4Po9i5h7tLJgVYy2u4oCrr0v08jkTm6id v88Ef7P0eBgVe7fB7RBgHxke6KJ5YpGaTGF55bnnA/MoRzKRYc7//f5x+T77HeDqNOLTL9// n7EraZLbRtZ/pWNO9mHecCfr8A7gUlWc5iaCVV2lS0VbbskdltWKlhRh//vJBLgAYIKtg+Wu /JLYkUgAiUwYNJ//uXv667en39Hs5T8j179Bk0RXUL/qMy8DeUJOvbxAT8DiJfTkYsRaJ5XX YuKLbMXBc+wdWtSFLc6Hl9lENEL3RQ0zVZ9y7XQlqY6YjKneUvTRdGEWaxvZ3bV8q6fQQBiX zSzqir9hXfwCCjpA/5Gz93G0L7J06uivwz6+R38eFR6uWLkG1nJQY9Zehtrvf0ipO5ZGGSPa si0XRvrFlqh6pYWsnUmjd4H1qEHnIlZb/4UFZeIbLCl562KctXEq+reCSR+B8+4cJln9+A27 JVvk6so2Aj+Uer+iJiPtItzsLubfCgZSP2VqIAU+hpMH3bG66uTl0ZxWi2kSrer3YJ1WI4yu Qq24ZeogVNUx7FarTi8JqNBD2VzNYsAc8Wybrxm2zCJkQBto/dWUeEmcuQkIW8czsxtgzazK /R73TdZML2iObkfFHLUU5/21eVd3t8M7vvi4wfExecIZB4o+XToxAAztRy92VUTexbIR3Hw5 zbuaarqjur2AH5qyJs9reamoCbOVmCB/fkYHHsvQxgRQgVO3Znrk1Y5bJ1QzdCO7VFQ6PmWw VuswHeg/dFZ8v9KJFbDKbQEbFSZCWK6ZxlVsLtondOX8+P3lda1hDR0U/OXDn9RRCoZ3csMk ua00c9X2bjR5RbMxW+SnySYPJDEsBr8L96iwQoiMv/2f0lJahjjclc4pG9yUa4RatTRDBvhr IUw+iRdgrpkUq2OSVFtKZHx6bRDrrPN87iRrhF/c0NF2aROSsuvQs5I+eJuYYNvU99dzWdCH b3NafXuxXQvPSbGmaZuK3dMTbGYrcobh2i2hjEcuENHnon8ry0NRl035ZpZV8VDy9NRb4hlP LXlq+pIXwnERdSsAA1wLti29O2aqD6yRB71g6bJWdr6p6YkUMNwr6d4awXE8GZkKazNn2elJ n21/PX79CiqnWHAIZUMWt847Wp+RMN7mUo915L36g4xxpX+DZ9D2FOcJsaXFCs7SstAIsLo2 l62OudVpEvH4sipdDZP6RB9sCvx8SYg7uA6k0r/H9sRruM023ccufSgtqzUk8brPM+pJygT5 rnsxevyBu1EWJOomVpTp6e+vIAQ19Wl0OjoZiRodLOk4QO1tIocXdSS0wJ5ZwpGqu0iX1254 DuCb/COV5MfLepN/6MrMS8S9pBz0+/wnmkC1oJXUvnzfNsygpvkujN364bxqMHntb50R4trf SMzcEckB3Pm7wF8lX3VJ7NNanWwLYdpgx4eOR6GT0OcDC0di2S4vHDvXWsmV5aYckXXi6w7t JvJuF6wnFOilq95aiSbrSYbspCGxKMByAFa30uJXdBxWm2B5w6DcN3ejKfs88z39kdqst75R OXHvsyMdxChTzjXnVOb7SWK2fFfylvcG8dIzN3C0AfZAt6U48r6xMxl/XmCwd9cNBRUy/jvQ VxySi5+6rrquv5b0jUc3Xc4kK4nK4bbBIKJP2OGU4V7wOhv2bTLl3IsTehOhsdANrLHQZyoT C08trthgj3DARrPgNWvYFj6ln77zYtsT5rmYIMMsh20qS7hdE2BxLUaBEwuMcTc2rhpsTBan M2OzAFOyc2yOWCQPSlYv3mSxujVe8hHNvJ3PkPmRxRmCUl43COPt0qAIiKPddq2gQwM3pDtU 49nRzazyeOF2gZAntpxsKzxh8kZevE79gM5q6vUDOx0KbEpvF2xPqn4IHX+7jfphF4TUe5TJ A4n683bWbQIkcTxIOxIPHZvH76AGUiYmo7fWtBxOh1Ov+Y1ZgWTc3okpj31XiZGg0AMrPSGz y2vX8SizdJ0jpBJFILIBOwvguySw8wLCKS7Lh/jikk5xEfLdTa+4wBG4llQDlywHAJFnyy7Y dsIrOELyY57FkeUpz8RznwygFW6zuM6bPHtWu+FxY5lbfAZ3VWH4mCcKntrNVSaWriD9UswM w6VzqVbJeUQ+2V9wFxpt3Ut5UcFWXPdyMWPSBpfl2/WSWvkmSxneg8JJHbvPTQ27Oifcrwso tnve/kAhoR+HnCr5ZGD/VtH3sP2rbeZUkuVQhW7CKa/0Cofn8HpdwEMcOYwqHgC07aSEj+Ux cn1irpVpzQoiI6B3uluvpeHDN4YcXl+YE8FMxNhTT/T/ZsFWNWDa9K7nkQIHwy4x0iPYzCFW J1ICCIj0xKFwwLpNThSEPHd7uAoeb6tugsNausCL3iqdF5GlQ9XFJV82qRyRE5FZC8ylDpQ0 johcvRDa0XqDwuK7sWczy5qZomhzFRQcPrGmCUA3nVYA2p+7gPRyk6XeEfOpzjrfoaTikEUh sfTXRbP33LTO1t7VloUrs9rsjb1fR1vqCN5SkcOqjt/4jFArgBqTVHIEVDXpmV6Bfctnb0yn OtkeV1W9PZtBoaEztqjvCkPo+dQ7FI0joAWFgCjFdhZwwqKKGFcIBB4pM5shu6H707rkA/nQ c2bMBpioZIMjFJMu8xUO2FGTjYbQztlqE3EguFNmRVdLG8pVWgLYVmhAS/XiN5SDtL5l+z3p OWbm6f3Qo2ZqVXuhExGKs1gk4sQKLG+uSBY/ce0i1rHYGypMnhOTsZ50oZQQcxaRIKAUeNyH Rwk5dYeOB7CN31qygCX0o5gQu6cs3xm2iirkkWfTE8f7KnLpb/lxcLcGKeAeOfMA8P/e/jCj P9wwdJq11bpwY39rvShAewzUV0sK4LkOOSUBih48i+3XXLyaZ0Fcbw2LiWVHLIISS/0dKVhA kw2jy2UrENXMOgx8e3TChiCiVQxY31wvyRPS68PCxF3HJbe5PE48YlIKICY7lUHTJm/s98qG 0RdpKsOF1pAb5ntvJD9k5GPGGT7WGa2cDHUHu/fttJFla2UXDPSkr7vgjSGHLJu6GDoVy7oT 7gCoLACOkoh65T9zDK7nkh13HhKP9L43MTwksElz8/VoQGBnBTwbQM5MgWyLBGCpQBSTUW11 nqgh9qEARV583FtyB6w4Un4CZp7pamfTNnKeDmjc/BMnEsO945InOkL7YIqVxUhAm8T+UDT4 DG0008fTAXa91UpU44nZONybyBhkDT0F3Ia+7Pgaz4s9O1XD7dCeQQwVHT4N10zAKMY9K3sZ 35m+iiA+EeG5hdOLn/5kvKiREYZJ1Wz6Si/TupJm5QgYreduugmdCi/Fp3GjrGoDSruakZmo RF6c933xbmsYoFpUmu+6MZCQyDarGHlaALrJrbvHm6G6U1I3ksDnzfnAqQIuwx9Y/cC5oDHR 61/aA0M1NWSh0jELnR03uabHKtQMRZcYLedlWi3BeF6+PH/4dsefPz9/ePlylz5++PPr50cR FWr5ShESGPur0yLZilSzEl3JqamvUU2gADkNfHFzmvZlTp+diG/x/YqZuJbOwkKLECxyWdle CyFsNUJFTIY9goKKN3K2Quhs9pwkm8WsM8WI5lQOCKzGlnii8fHHlw8iHvcqWOv4ab3PV4GE BA0jV1L6LIKM+7GrbZnKbG0SITjZ4CWxY7wqRATKHO6cy8WgKrYSajLCEQRFG9/C6GXv0XKa jMGIBRV3khej9PL010xpPBM2PKasGbQHOTM9pJIjz0Jn0F8l44ZGk+Jp78Vst5GoB01UAa2E sKO4dYyXma/TgEkal2illoLl3Yn196S9/sxcdZnV0Aox64OQWVZiV/wEyy07Dg8/y5ijyTN9 0T1XDl/1Cl3jZ/isEW2B7b+seX/L6jYnJzBymAY8SJMufxyKGBLEyJwK0xXwiirufM3+FPQk oLTwEU52Tkx8lew8m0QQ6G5dACAmBnGI/BXjdNKoZlq8F6+8LBHB4Ku+GE5WsMv2IUwn+sRM fL22t9Hxgdss3iWMV8VmI/VZOISJrWV5kRGCkJdBHF0ooA5Vo52ZZHg2FPT7awIjYCW/cBNN 1pCll9BZx4hUP73yTNV5kTZg2HvfD0ER4RnLDZm3tkKT1CROqO3zmGBVn/RkpFWapiV3PHId i2GCNFKjdX8BxcZkmazazIJKusXcYGJI6IvcqS7C4I7ILokuZHY7stwK7BGJAXW94MyI8Yhm xEC6kJvTyTfSevRNCDvlul0xAOgmf2vsPFSuF/tEolXth+tZ88bDfsFiewWD4MrMVtUSZpNM 7ZORbHF8pHIQ7ZnxIK4skWJF9evQOAcxQN0sQVJRfG6kiIJ0Cw5szr8l7Lt253AKi13Rmbft K9p6LEozzYVGnD0vLsCEcq02xwLty0sBvdtWA315unCiy4GT8FPR8JPxIGXhwn2m2GbOfJuJ rlZlA4qcmMJYNiRJFJJQHvrqeqggDfyvIxGpQdM1kor4Zi1M1XlB1hq4glE2y0qnCRWaHE06 E2ndbLCQTTVrw3TCnksPd4Npu2n2rIE9Dp2/vsYu9JJXO98hPwEo8mKX0YUG0Re92WS4hMb0 GafBtN2uwj6R7FhE6BrjNZDm4FmHojiioLXqqWNhYvssiYId3VQCJG0KdJ4dPQEFpOtCBmiR tCYXpbVoPJN6vcbGXZfhYk7D48QyvBFMdtsdjFq05ihOQzy6UJPmTeS58RRAYdqf3ltiwylM 5yRxIlJqCiixQzsSmjXtFcK9umOOS9cIQf6GAOBhncQROYgUjXqF4d2iC61swSLPp+svNUy6 c9a6qonpGquBuv72eBFMhsMVAzWecdBMmkaqYPMrDiJ1qSZspr3SGMyNEhCkW/8l/WxyxWoZ ttno5Mdi5I7BJ8S7AePxqTg7O7w+fv0DDz6JR6TsQJ0Hnw8MVEblKHQkoJiAxeTE/99VXNwh yB/KAR9IttRJQd6rfuj6+pZ3oIlfJgctakMIVJgUW55LqwywB632+JqBzvN2X/PRA4qePdL3 6QJpie9T9DA1n6RbC1G1LL9Bu+cYGL1+YOT+ARkPRY2eRa0lsWHn2Vcf6rpPXz68/P70evfy evfH0+ev8Bc6yVDOPvET6fUmdpzIrJX0DlG5EXUZOjE0l+42gKqxSy7m9z3Li43GYHUOw4K6 Ebj7hf34/fnlLnvpXl8+PH379vL6K/o0+Pj86cfrI57mTo+dIY276vm318fXf+5eX358f/6i e26C0cLpIzcsQdOezgWjj1BE/XakQYNo6ENRm/U91w8Hiydz0ac1sxlnInzK6fsK0VSWo3vE 6gM7eBvpZmXfn/jtHYxOK8+7iz3vtM2OtAQRdZauzoyOVBg6dFY9Dcr8+dvXz4//3HWPX54+ G+NQ3nLow1l8vCBaGuUU0OQufX3+/ZPe76LRRKCC8gJ/XGLb2zZkPJa8hH/SmtoJIwM6jNDk 0Ui41SW6qEhLCnG8xH83rJG+6Jg2byeAD7GmKwqBIfyEmgNtyDeGWe969D55HCwbXWnHODsz S9xFUcwyJXy5iQ7Zvz7+9XT324+PH9EZielVda89eJ6EohCRRF+A/M1qjIqiDBOgNe1Q7rVG AmKeU70JQNq2GJ2Mz2ufllYG/+3LquqLbA1kbXeF4rEVUGKUhrQqB6MQiPUYQQf28RXantzS K+l6Evj4ldM5I0DmjIAt565vz2VewEIy4M9TA8pDV+ChTkH3MtYbFI7y0NyKBjQDypv4VMpW verHti72Rd9D6uqOUSyW2SllRsk4LP22gGp71Bbw8qCgbDOw81h2L5wGGYniJ+OCaPlyKCvR Thj8YhIl2tj8Y/JaRtw+Y1cKMWordVfTVj/44TUteo92EQ4w6zOjLgzWXGh/WuKLwcYHKwiN a3lji6MAhz1dDET0SRXoVj7YnRbhAdAcKMfGwN3ctYZ7xexE7Fsb2pdnK1bGljePgFVF4oQx LQ7FWBv61lqkDfUFe2m42gStRK0tYYlFlm4JWURLa+PaJDe2a9GChLDcKQJ+f+3pY2XAfNsy g1m2bd629EENwkMCm0AbOsCCbjM3EFOCdl4i5pk10Yz1tS2UJsCHAkSERaaN10zaqEpBYbsM QWibt+OBqzZnaiWstDbOUmgN+9gXwQz5sSCdb2J7nNrbvbvT3dAodJtkGWGzarysO8tFg2iM mPRVMEveW5Xl66UTiVnFOB/3nGqeiFXB3nG8wBtI20fBUXPQmA57J1x9O5xh+/yOcsqJMEjL naee9U1EX7XFQOKQt15Q67Tz4eAFvscCM1fKpYoC86iI/NrIoMp3TmDQWM39aLc/OJHBW2NQ o/u9bmCMyPGS+CFlsbz0ga2pF47RMwzZzUpfiuuoN5g2zrp1Jusj9olJvJt8g6erk13g3h4q 8mHkwsfZkak+7JRcTDscDUqSyA7FJLS2OVA+m28nqMbVnj0pdURdmS48dZGt5La67qC63mae ohTtDA0UV9Q5zsKU5pGrHjArxeizS9ZoFoOgePCBkcrtMa+VHRLsyVr9F74ORK+0IDq1qbBA K61mzZJVp8Hz1Edc7anR/dEj4dZybnfhyBttzElPc7AVWTmAOxrP2st8cTox9EVzGOhTB2Ds 2QNRk5NMUUlv8U0l7RC/Pn1AJ/lYnJUNG/KzYChU72qClvWqP7WZdNvvDSpOTIPEVUfqgnLC sLOrehfVfUntFhCU/s/0ZLJjCb9MojiONGjXrteioiIR2u/QCk9i6k55oq0qVuCxnUmrCi10 sKC9NwIPyS6o09ISfEPge3J5QAhSE8HR9Fzur0YjP7BKu/UUqV77yR5XoZboV9MgDQZheCib IzM+vC8aDnuewUywyoR5r0EscpPQtOfWbBg8V8HRZqm80DhFgEnzw5pd95XtSE4wYJR53u5p 5VBwtOiyvqD1a8FwqoZSNL6VpSEDvyMCSo0aVhlJIKzRnrhqe23OK+SbzcM9fl0MDN2rWfLr YC7Amm+200gGhcye8MgyS+XtHG4yFwoock4jsOc1gAoqDSquFkpKAH1Zs4tZC85KW0BDCa/i p6ooukbQI2AL8lAUFYZ10IOyCujUdJVlj454T7sgxSmHEQxh362dVcxEOuyjyLFm/fDf9orZ KiuPQl0Jn6E8twal7XhhzrvhCHO2Nmn9iQ+z09+5oCp9ayiecO25dZYNqBBHZWmNn4f4pWxq 6rIGsfdF347tMH8z0bZKhUHGYc7bVhD5wOV2PKXGOJD0DGre1uMvY7mqFm+uwi29tpDPZRAu 78njRoyQ2R6z8obHRlUxnostmSC+2giJQJ4YOOzI+O2oz2wMXU5nI0MQyYjdwCQi4Syr/Ezv /vjn2/MH0AKqx39o79sisSMtHJu2E/glK0raxy+i0m+j7aGv4GD5oaAF9HDtCnrPgR+CpMG9 P+2gDBlOlfArTR3hnR60o2L4eXs42uyQLZ5ZatAGMKQrkXxTPBiCEH/JfRZFu4llTFNXEUt7 lMQNaC0Y3iTDyBnFWqXErc1KhxPfr3cagsy6k0mBTWUQMoMqtnPOqlTrXZ6BSicM+kfSjML2 UVMMQaK/sBT0h95iryxQ6ZWSOl4QsOnAVRYPjWqpG8gZVW0URmIYzk9jCUx9WL4QfSLrMCRf K4xoopknT0RtfzmOmOKMTgjLygBEe4TrVhzptmcwM0/kEz1gMzYQqPn0YyaG6xEActn1Au6Q 0ecFB2HXKKdB7hnuCAR5fJrAA/qJuWzAwQ9VkyI52ucdvTFGpRWRLS2MZR+qO1hJrbJw5xJj l7CMMmdR+LeRWDt4DlGuyZx/Y+rffXx5vfvt8/OXP39xfxXSvT+kd+Opxw/0c0nt+e5+WbSD Xw3hkaK2VBsFRJPPVflAgYuTdO1qE3MfXp8/fVpLJpTbh6Lnq7RGQMYGsvbEyNSCaDy2g9kj I1oPuQU5FqBSpQWzfUneC2kcGXlDrbGwDJSzcrha8tANIjVoelcqpI1oyeev39GV+re777I5 l05tnr5/fP6MURo+CIuGu1+w1b8/vn56+m726Ny2PYNNXNFsVI9B61N3OxpXh5HBljqwLCvw LV1ZlYMRdXdfNmXKGkotKkAu3GDS4+sinvWqYiaglUqEVINnjH8pnHMb0GQOrdPQzgmmu7ah lAWpc4t3jgmOLd55BV5YHXiOcOhtwGXiJXFIL3gTwy62vNuQDGbwYBO2mXZIuPDdTYaLT19R ya9Dm828hGPrOdlceUtQQIH3iRdtph9uVz20ec8bS0f70O6H7Kb5kUcCeviIEjcZkTklxIQ6 R+aT14wwoJNGKDVLT/u7l69ojKS6qbw2Gd7i689fHwSdKCw7XfKSw65akTlo4GaeCORBEJO+ msr6gA4Sy1Lf3nej0Y36c4ozsbztH8l9Kwoc6mSpu8JKxjlTzXIkKowoJuxf/5qVdF1/O2EQ xJLaPCPS5f0ZTzmli3Lto/81dmTLbePIX3HN027Vzqx1OJYf8sBTQsTLICnZfmF5HI2jSmy5 JLtm8vfbDYAkjoayVbvxqLsJgCCOvjsGTl2haFkBE1r7BA1ZfDkqPXJuq/JRnzOQIA1wuJTS RjwO8nZtjzlPP00pNhUNhSqsWTvqpN9Uf1ts9kdYSJQ8p/yrfBGXCh1iagCPrVqRODXebQK7 zI4Mod4/HQ+nw1/vF6ufb7vj75uL54/d6Z2So1cg+nFarJQoDJmrPEkAm2Ap/TLGK4jH1HUG PH0SG/FIEuINUR/Q8oaGXdvV7CHp1uHn6eV8cYYM2EGd8tLpMmd11H9Z8r0VHauD/4cMFyVB ZhNhLL+7nhQ6CoFrryefuqim5igAZt5TxFJSFEh0211jZCTVgsLHrJzOrYYI0iwIq+hX/eV4 SFB93bYB6pixw+psI4upnrxvBF4RjSK4I51gFMFa/jWukHGwjXnASXu5JzE3IO+Wbm07YOof v3+8Ifd3OvzYXZzedrunb9oVIvdC1xtEpJ/r69fjYf9V32/ALGO0WgFMGvz39IbWsMVL8uJZ 1l1aLQM8xsfXRM+M1PndBct8Mv00X3dp5uDC+NOn2fx6bk0KotCKPb8MPX5kA8V17DQq7N+z 2NPm1bXHNRAJ0Ow/MaOmNMxs6v1SIwkl7OoEun3fgNt+Fj1mvqBiMAyCT06TVRQvruZzB86D xULP/KjA9af4chpMKPhkMiXgq8nk0u21ruPJdHFDvAhiZpdn5kYS0E3OpsSIET6j5kxgyHRl PUFzfT274m6TAF/cbIgm0cUWGKRzH7/J6sWUzJOoCNpo8mniziSArx0XG4GoYnjg+pIWThTR VhiNy8bj+ZNmyZ3TYxriv4PvR38cyAQy2i8zfiRgeRdZgRMIUwW+aLM9HPS5plxDiBHruuTJ vVFvWwGGmGkLjOeNkRunR/Sevy7GsIv3QEfUHxAlrVwe8WWFuoKzRP5sWz2FZcN38BsWck9S qWEqhFN7jMp69/1MVUMPpabejs7uwXad9NGEcPhbOGL/QFbzp6jx1gBr93tEcZ/CLTws79CV mHYpqdic1CyL7FDKg6oPQzKWXpTwVUzfWeh5ALxD1ZSUf4rKYB6yUlt3GtDObi5Qbmsmvs7L xcIXRIEEPGw8rqDtF9bU7bkeehKRKY3a6UHOsrLj6ZplpntFJVQ0dGzGCvONnSsXXrNzgwI5 LqjRknuOSNTIPjt7WFX9HB4WTlAF8TkSVGaukcZOP9N30adJjwOzmqNUJ+dJkZX0dhQL6ewk iex625wWrtAw2wT87NjLesXCoAsb9fnOUq2C6swworw6l9EnWjUiC9os9ZSfFVTw7+Xl5bTb eJ3AJJ3wedn4nHAlzca35lVXnpdRadjy6Eyp3DDveEOlq1M+AWrO3a9dBmt/1cX+4VtPbLzw cuqWeeupbi164J5YK2W8QNs+QIokosmqjVCy/mJmmOdT1y1PMT1DxcuZKLDrS+2q6Cgis7O2 YA12p09lnt11mOfqnI8rjhKVvLpiCq7usWB2bWPKevxqNqLC7NeGUkykKFuHwv3krA9LlK0x uBJu7nWre0phnWbAwVQllcE5SLMf4nrpKTq8vBxeLyJRFVUEffx9OH434gSHZ7qaXc18BYdG qiiOkutLOtJCJ6sx8gMm+1eERLA2RVbc/bKlM4HsOtUdHTKgk7CINNWutih2YtrJYX7FxNaH jyOVYA/aqrlQF19pdj2AJpvGhoqfnWp7pAxhrfaU425uclzgzJO2cCUtUnCs/oIgb1pPyt6e ovGETia5IqhJfzI0+ALzpI+5ijzZqERB7i4PPeEoDD5L6w3W5ruXw/vu7Xh4cmefJ+jRA+fJ 4EnK315OzwRhldea3UX8tKopS9gtrJFuibbGrggapldQdwgAYGNNzWddRhf/qn+e3ncvFyVs 0W/7t3+jSuRp/9f+SSteLrUgLz8OzwCuD5HtHRMeD49fnw4vFG7/R35HwW8/Hn/AI/Yz2iFb YE10HpDVYEQhcU0vnvepVvtXUz8vlgdo+PWgz3WflFVkjhXhGF1ZxEkeFLHO045EVYI1fQGv i3wGAcostSxnr3GuI8GQ+odkqbWGgrqW39R4ididnvGNXU6i3yB3eFf2bSX/vGMKVRkESrUo yf3+6wo/cDqz+Q19AitCqjCcQzGb6dlgRriV2mREmGn+FNzN2aYQvFncXM8ohaMiqPOrq8up 02DvimXc27CXOe3bxTxTVjS0B+kGbnKfj1e1dcN40RKDyQNcV/gAQ9tZJNI8FPzzRDvUFGYz 6xiZbJvBelx3VrEJUQG+a6qI+Syb6P0ZIP9ZRo0nya8spgk/Gl5mmUeaTwn/DPSdqz/+PIkT SSt529dZ1qX1MMq7NWZIg281NVFYLh2u2G66KHIsS2+wXwYSn6W/gki+7Mv+GIXu0HfHvw7H l8dX2FzA7uzfD0f3a3FzkcLPLvIY0ppVC2cSD8vMvXEIfTScXbwk/SjjQFNiFbDy9OTIjVmK rIFDpc1zepEjti5brvKXlZ5YIo1s8BvxMsiN4cTXwzx5Lwf00vNY3VA+8QMaxBON1xn60u+R AWr5QaC63tAywu8uX/KedYg2HuWDRVfVnhx3A+Edg6vbSqTbP8xh1/WJaWQIdc0oYyCCKZmi K6tqeHR/fBEB17HNiiSxdg3Cj65MjWz7Q54AWEp54FUS8VCb7TiKQ3Ptxzmjl2vObMcUAYoC PP6jFSuSroATOklZlwZZhsKLsRjqqGYg4qKqlpEeNOm2i9Kl3YkOdfMcLMtyCWyCpigddX4S hZ9F2OVlRn5vMl9FDnOnNpFQ1kmPHPo2TdEwiqwBLtaA1+Z5Kj5ms3s+Pl781X9SyU31jFa6 RzuXOFJ1JiiCyUy6LQZQSE8kbS5QC1tj7o4o069GZH8NjyEF6UKRBt9MTMDg1RBsWZaRy0Ll 7L1BQX2mukuKiN9XZjROWrsJJ2IJIve+wDh+eGngfeS2LRvNs1f8RD294KjxfBCyv3bZcAAq MlgbBdPLDEiwdZhIYMMTrZXbNG+6zcQGTK2nosZQUQZtU6b1HCaFmsAWI7J0RUGrh22Vm4Rj vQmdYoTBHR4zTIbRxXoYCkUQZNtA5KXIsnJLksI+FJYUeUY9Pn0zkpDUYiUaX0eC0BhLci49 foVlvZYgIejLQ6KctJ49ogy/4KAzVrv3anXafXw9wD76sXP2C8pwcq5GHgFBa6+aTaAxjTGp ahNYdMjAkCpmOPEKFJx0WcwTbeWvE17oH8s6wJq8MocnAONGprkMQXMXNA1lLVm1S1j3od6L AomR60of/JPWxmISDhq4yWGgTZIbYys5+jeJB+hDT2x8H/ZLmtZTHzKC9eBB8TJ3uuzn3FGR SUj3gNl1UBPPfVpsRZg9lCSdTTUfqLQvLpHqRnDgpm5AAY1lr+yI1nT3SOvD4G/9ZBG/DeWO hNirRkfObfJ662GWJXnnySqKN2bh+Vxy3GLbevF4xil31rig5r0nwt0DrB0QGS8em79gXsxL TwJnDkBR6WMBMGXAhvMJVcogwJS6fzXce/ZPOavauKEP158XEXZsRd0WvIrs391SX2MAwATw AOvWPDS9c5JqRW+LiBkXCMMPjYey8fQA9RS2R/w2CdYg2nZ2Rjidpq2iIMus7sTZ5HQnTjV/ b/TCFSjrLh5hU6cTmbQQBKIKA4p909PFvqFjbXgzjY8AE0u6/7RRZW7USJzgwOGCOF2zpclb SCwDMTzTGC0DWWO4qAPFFVQYn1DCSzhU6T0kG8vhFePSGV+ROaDkrpGi7nA/xIHxZoF1JAXu lwnGqdKaN/rK6t5l8PNv+9Nhsbi6+X3ym/ZaGW6VOBHX7JwsQ2iQXM+M9LQmjiwBapAs9ATl FmbqxVx5Mf7BLMjsxBbJxNfwJ+9g9PovFmbuxXhfQC8UamFuvK92M6OViiYRGWJltTP19zG/ +XUfC7IKIZKwusSl1i28HUymHq9Em4q+FZFK+JV7sf0QKD8tHW996R48o8FzGnxlv2ePoJKC 6HhnAfcI//QPL0a7jxsktG+XQUKXIkSSdckWHa2ZHNBUzBIic4yvKHM9GrkHR0nW6EE+Ixwk x5aXBIaXQcPItu45yzKqtWWQ0HCQKdf2pCOCwbjoeKKBomjNNIbGi9IZCXuSpuVrZsbjIqpt Uk8uzMxVca93x9fdj4tvj0/f96/Po9zVCPaJ8ds0C5a1xg6Jp96O+9f378KP6uvL7vTsxoQI 8XwtLIWGvCJULxnqYjbJUJrw8/UgvMjoCpdiruvKgXlV7YvajZQ6674IRH0vdbn1FvE3kDF/ f9+/7C5AGn76fhKv8CThR/ctJCvCilRbQCMMZfE2SgyfXQ1bVxmjVLAaSbwNeKpt/2UcYnQZ qxpd3VMI1RYqOeBZEGGioNEzJyh83tYNpp7RrcgpSCvyyc+Ty6k2hzWWroTDLgdxNqd4D54E sdSo1Zq80xbA02ORoDwsdZZAnKvltjAyM4vXNIRYaDPh9TBIa9KATUadEwqwOZYrpOyPFomc lLLI7u13rkqhM3KGU6KCXHLFMj5SE5wxgQuK9yI0xwUOcRJywj9f/qOZfXQ6aarxfnkpEvWL Mt+9HI4/L+Ldnx/Pz8YWFJMKLB2msjELVcp2EC+qY9LiMT4Ns4DubqSiTzbCgUVErVhiVmKU SKm0oZaHcERRr5MneQYT6j7eY+jDSH7zBo1hbe3NsyuoNpQtesg3oWiG1IT2wxJxpnlpYYQd 6fGqUNMt1wsmpP/FjIiXQj1camjmaKQ9ISsr/EsapHF1XGSHp+8fb/LMWj2+PuvRyiCItBW0 0cAHM6q9l2njIodOMa+8hSanAM/cKoCdpTdY2T5fvyTuNkHWJmMwnuyzW6H/WhPUa32y5F4b UOIqKdvm82R66XY0klVmtK+XRA1F28Lb23NlUuVDcPaUhr7dAA9tGsh+4MOwazgAY1vukkDz qhEwR/CXlHLnJEUsj9MzCxf7XydJZR0DMvYdfZiGs+fiX6e3/Sv6NZ3+c/Hy8b77Zwf/sXt/ +uOPP/5t34q8gSunSe6S2lnio6eUuc9o8u1WYroadgSaW2wCYeUQJ52hrN0krvwtFDqJ4UIp nsZJ9J6B40MGuI/2zhIXpzrugooNtRVqp1fYTcCjJZ2n8sL44qoFTatssF/aisCvLpB6Z+IW hAmC+xmTKsHqcPOS22ezPNu9cwL/36AZ3Mg4J1+dUVdFxRzdvn2y+S8hYRRiVp4FiYqAxwIe Hu5TNx6ZRy15b4qlAUhtOrUPofcBRMLLyPeFEG89q2HwNoAPAvPeb/HpxHiSGxYrBCW3o8LF elM4fiR3wp28DaMiC3pcwYGWyYukSXpvD1qgUtPaJZxjoarii2SfKNOOOGwHCo2bClgmeYl+ A2rGPECluIB/3aDODWoNmDTj4kaFekMn1oCXLqJ7w+FWFhIfH3Z0t+JuTttCdiOIuA+75EG1 oml6oSK1PiyB7LasWWGmmNruR6LzqGyLBggimWBPJ0HblVhUSCn4WLuRSD0oW7FPjcg8ezme U2Gbpvr7aEDxYbfCkGC2hCTjVI5fTfTiM72J/PuYP2wyu5ljMoEzbBUg8fx0gpjl5v54FXJa szu9m5Ip7ENx1gB3oX9kAa+twYbjooAz1tnm40EQol3YjxfCBNzuHUnWc6Tiwvg0p85zHNwq uUOttj3kRnwMlcdfH7xArwHflNQWE2ghB6fOUyFraB8RgW1bPb5MgDhaCIQPhT1omfFLB6GD B/bggO1wNtmZkNH1EQK/7ZlBIXTAYYEiCSxw3vZeCCPzE6DjqJcBF0LBGsRo/Rn8fU6AaMM6 gNMHmLUGQ98DMx5JkG0D2IWKsCi7os0o+U7g9WfdlsnVJcmCjC2LnPYpVT23urFDE4DQvaxj tdzKpkICl1fUKBqiZXSDUTe9YJb1cIMk4Nm9UrXoberwLg6XtAXSoBIp+OKQEhdE1Fwj7D12 SfoR5eUdtmYFprKFJSwuFu8TaFrPWlNvplzNG48VWawtzBXhuWAweweucpEKsLu8W1yO3L6N g88zoXFqp0xpbFEWyeeZPmSFxe7oQ2ukSOgw4IGi9SnSBgrRvSOeGUOE0Zk8pFDUofBlGi6r wD3zRxcF2PI5bhaQIZiturBYJtgrHs9gxVfmjKx8ZqwvxZl4OC4ZSoQnuzfZRlts0dOGO5on 6eu/e/o47t9/uspFNG5qAg0c/nCpwSshAq8E00FYPUD0r9y1kthqEX518QqrlMjUyqYQmUQt Z809Zp2pheuwOCdonZugJJ/ewr9CTbgqyzU1uJ7S8KDpn1buE2TLvWvFHZ1ueqAzBUbgoIXj mfSENeSmBpgz5BSxao5dRY5Ey6Z/++/pz/3rfz9Ou+PL4evud1lT7jdixLDSMCk7uYxGotwX iD2QwFor76kMiANFUMGuyg01j43SFB+OosMl9rgHuISO7OIh6YIa5pJUHfqeUKp/ap3cB7nh BowbbIkYz96XZ5PTEXkjWLRG1jYbqyV9EltuCOiJjj/f3g8XT4fjbqw7qAWDCWK4nZeB7l9s gKcuPAliEuiShtk6YtVKX9I2xn3I5Ow0oEvKdR3LCCMJB5ONM3TvSALf6NdV5VKvq8ptAZ27 iOHo9Z0ULHZfOokIYB4UsBzdMSm425lydiWpu5jV4pzsFUUm1TKdTBd5mzkIk+PTgKbbjIRX 4i/lLyPxeJ7etkmbOC2KP+5iyz3woG1WcOu4cFhtToVOhatZ7ja0hJNJPYB3cb+dgo/3bzsQ /54e33dfL5LXJ9xecHle/L1//3YRnE6Hp71AxY/vj842i6Lc7SjKiQmLVgH8b3pZldm9J9FL P/rklm2IdbMKgEfZ9OMORUgoXhMnd1ShO19R485TRCyPJAodWMa35BIgWWyFvbM8yNR+Su7t BMayBsjj6ZvvZfLAfZsVBbyT7233uQFa18qxfwZh3+2MR7MpMXkCLENHqG/LrUBekgAmLIN9 9wu6ZnIZkxn9+tVFHqX9qnK3VTwnYAQdg/WFyR6Y+/Y8x6RFJFjPxDyCp1efiFkChJUfylr3 Kz2/0giUrTngqwl1LgGCypbSY/OZ01Sz5JMb94TdVrIDeefu376ZIdf9DeluIIAZcasa2Kg+ qsELNiwtC1m0ISO64JH7VUMQx1NGrI0e4biU9osOJIksY+7tFQVo5fc9VDdX1FYAOOUz1F+I xISl4q979a6ChyCmPnGQ1cHZhSQJ1HT7DuJzB3DiXh9w4VZJ4Q5TwTvgQaeeHpuETIenkNuS /GoK7pv/Hn013mTocnLcnU6yerM97ylqs92T/aEkBryYU2kJhkfctQew1Rj+/vj69fByUXy8 /Lk7Xix3r7uhpLS9umsGEjrF8MU8RC69aGmMOv7tcUucx/1YI6HuQkQ4wC8Ms4eh6F9W9w5W 2AIoLrtH9GyvPc4BXytm1D/egZSapQFJsu/YeW/ktUewokpkBfV9jhUWQTpFeV6oWX4SyKoN M0VTt6FJdnd1edNFCUrGDH2HVDibpntYR/X14Hs1YEcliMBLdbSnBhG6SWNir0TGl20SLjuz zE1yU+yO75jpAFi4k0gIf9o/vz6+fxyVV5ah7pdhFV2D1V6kioMbFl8XX6OYNg5M4oVrtD4J Phm8LOKA39v9UXKsbDjMRBqXuvEObaQQX1/YT0dBUqgW1xuNZVUOK+zBKoi1WZXQRpEYBg4J 3NQlWeBDYF1yTENTq8ou52IgQ1bgXEgbg+s74JagH55reIKpWs1SWIOCfsRTNlfx2nqR0T4O vW54EVX3XcrL3JK2dJIsKTxYmLuubZjuudajhE0jZVzaTlw85qllZa7byHqUBR7U8ile1aIu V5UxUyKKQEiBY8wATaxrKurOsJ3Qa9N2ZgOzqfWTsEMpOBwVSXi/sDocMbSLryIJ+Na3fyRF 6DH4AZby7QawXq2ChS7DH2mcLmZZbLRCgaOhRiDE9IsUbufLgUoPCW2SiJGJIDQ4rc1rWkCd y1uPQzOhmMffhVPxaOLKpuFkK3cPCLZ/K0nahInECpVLywI9xEABA55TsGbV5qGDqCtZzduE htEX/dsoqGeex3frlg/McLYZECEgpiQme8gDEnH34KEvPXDdE1dtbuH1YBZ74Qm6X5VZafCA OhRV8gsPCjrUUKFeLDEUK7eoNaPJcNHDAc9E3iH4EFzPnI8nDZxAenoJCUILVWecTMJWaGpS 0QZflGWFQeReI71I5l6SXo/okMKNTuJbPYwvU2FkPXn2gIH6xrlT8tizReOYYsIYv0XRWusl r8zM1SWWvUuWcM9y02qxdH2ydWRVlpRVdzjQZWoopgcAotNJnFR6Qmllz9fO3v8Bs/VxWsp8 AQA= --KsGdsel6WgEHnImy--