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=-2.2 required=3.0 tests=FAKE_REPLY_C, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,SPF_PASS,URIBL_BLOCKED, USER_AGENT_MUTT 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 3229DC433F5 for ; Tue, 4 Sep 2018 15:23:07 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id BFFF520843 for ; Tue, 4 Sep 2018 15:23:06 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org BFFF520843 Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=linux-kernel-owner@vger.kernel.org Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1727574AbeIDTsj (ORCPT ); Tue, 4 Sep 2018 15:48:39 -0400 Received: from mga11.intel.com ([192.55.52.93]:20067 "EHLO mga11.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726097AbeIDTsi (ORCPT ); Tue, 4 Sep 2018 15:48:38 -0400 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga005.fm.intel.com ([10.253.24.32]) by fmsmga102.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 04 Sep 2018 08:22:02 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.53,329,1531810800"; d="gz'50?scan'50,208,50";a="259739308" Received: from pl-dbox.sh.intel.com (HELO intel.com) ([10.239.13.138]) by fmsmga005.fm.intel.com with ESMTP; 04 Sep 2018 08:22:00 -0700 Date: Tue, 4 Sep 2018 23:34:35 +0800 From: kbuild test robot To: Andy Shevchenko Cc: kbuild-all@01.org, Thomas Gleixner , Ingo Molnar , "H. Peter Anvin" , x86@kernel.org, Ard Biesheuvel , "Rafael J. Wysocki" , Len Brown , linux-acpi@vger.kernel.org, linux-efi@vger.kernel.org, linux-kernel@vger.kernel.org, Andy Shevchenko Subject: Re: [PATCH v1 2/4] x86/efi: Get rid of custom ICPU() macro Message-ID: <20180904153435.GO17047@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="peRj85VDUce1fu/0" Content-Disposition: inline In-Reply-To: <20180831091018.17543-2-andriy.shevchenko@linux.intel.com> User-Agent: Mutt/1.5.21 (2010-09-15) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --peRj85VDUce1fu/0 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Andy, I love your patch! Yet something to improve: [auto build test ERROR on tip/auto-latest] [also build test ERROR on v4.19-rc2 next-20180831] [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/Andy-Shevchenko/x86-cpu-Introduce-INTEL_CPU_FAM-_NODATA-helper-macros/20180903-170803 config: i386-randconfig-x078-201835 (attached as .config) compiler: gcc-7 (Debian 7.3.0-16) 7.3.0 reproduce: # save the attached .config to linux build tree make ARCH=i386 :::::: branch date: 56 minutes ago :::::: commit date: 56 minutes ago All errors (new ones prefixed by >>): >> arch/x86/platform/efi/quirks.c:614:2: error: implicit declaration of function 'INTEL_CPU_FAM_ANY' [-Werror=implicit-function-declaration] INTEL_CPU_FAM_ANY(5, INTEL_FAM5_QUARK_X1000, &qrk_capsule_setup_info), ^~~~~~~~~~~~~~~~~ >> arch/x86/platform/efi/quirks.c:614:23: error: 'INTEL_FAM5_QUARK_X1000' undeclared here (not in a function) INTEL_CPU_FAM_ANY(5, INTEL_FAM5_QUARK_X1000, &qrk_capsule_setup_info), ^~~~~~~~~~~~~~~~~~~~~~ cc1: some warnings being treated as errors # https://github.com/0day-ci/linux/commit/e4c07e90e85507005bc79839ce9c0dbc8f016578 git remote add linux-review https://github.com/0day-ci/linux git remote update linux-review git checkout e4c07e90e85507005bc79839ce9c0dbc8f016578 vim +/INTEL_CPU_FAM_ANY +614 arch/x86/platform/efi/quirks.c 2959c95d Jan Kiszka 2017-06-02 612 2959c95d Jan Kiszka 2017-06-02 613 static const struct x86_cpu_id efi_capsule_quirk_ids[] = { e4c07e90 Andy Shevchenko 2018-08-31 @614 INTEL_CPU_FAM_ANY(5, INTEL_FAM5_QUARK_X1000, &qrk_capsule_setup_info), 2959c95d Jan Kiszka 2017-06-02 615 { } 2959c95d Jan Kiszka 2017-06-02 616 }; 2959c95d Jan Kiszka 2017-06-02 617 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --peRj85VDUce1fu/0 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICDv9jFsAAy5jb25maWcAjDxdc9u2su/9FZr0pZ0zaf2Ruum94wcIBCVUJMEAoGT5haPa Suo5jpwjK6fNv7+7ACkC0FK9Zzo5JnYBLID9xkLff/f9hH09vHzeHJ4eNs/P3yaftrvtfnPY Pk4+Pj1v/3eSqUml7ERk0v4EyMXT7uvfPz9dv7+ZvPvp8refLt7uHy4ni+1+t32e8Jfdx6dP X6H708vuu++/g/++h8bPX2Ck/f9MPj08vP118kO2/eNps5v8+tM19L68+dH/BbhcVbmctZy3 0rQzzm+/9U3w0S6FNlJVt79eXF9cHHELVs2OoGOz1B/aldKLYYRpI4vMylK04s6yaSFao7Qd 4HauBctaWeUK/mktM9jZLWDmduR58ro9fP0ykDnVaiGqVlWtKethIFlJ24pq2TI9awtZSnt7 fYXb0BGsylrC7FYYO3l6nexeDjhw37tQnBX9ct68oZpb1liVLKw1rLAB/pwtRbsQuhJFO7uX AXkhZAqQKxpU3JeMhtzdj/VQY4B3AyCm6bgrIUHhrqQISNY5+N39+d7qPPgdcSKZyFlT2Hau jK1YKW7f/LB72W1/PO61WbFoLWZtlrLm5Ey1MvKuLT80ohHEXFwrY9pSlEqvW2Yt4/Nh6xoj CjkdvlkDIplsOdN87gFABbBMkaDTre2K2XAm32i1EL0IgDxNXr/+8frt9bD9PIjATFRCS+7E rdZqKgKJDUBmrlY0hM9D3sSWTJVMVlRbO5dC4wLXp2OVRiLmKOBk2JCIklkNpwL7AlJmlaax tDBCL5lFCSxVJmISc6W5yDotIqvZADU100Z01B0ZIRw5E9NmlhuKH4CihVENjO3PKFPByO6w Q5SM2UBoQ8iSFRKgoi2YsS1f84I4Kqcdlycs0oPdeGIpKmvOAlExsozDROfRSjhSlv3ekHil Mm1TI8k9C9qnz9v9K8WFVvIFqGEBbBbKw31bw1gqkzzc+EohRGaFIAXUgYmTmMvZHFnAbZIO NqAGKSlrCx0rEc7Tty9V0VSW6TWtDzwWMWHfnyvo3u8Br5uf7eb135MDbMZks3ucvB42h9fJ 5uHh5evu8LT7lOwKdGgZd2N4pjzOjIznDnwAkxROTYaizQUoJkC1JBJaS2OZjXjYUax5MzHU kVXrFmAhRfAJthnOjNoO45HD7nGTN4NTWV0FboNc+D9OW9yahuZC4Qg5aCqZ29uri+EUZGUX YF1zkeBcXkeKt6lM51XwOegBx+eJpK5YZdspSjEgNFXJ6tYW0zYvGhPoXj7TqqlDBmMz4blA BJoJbASPztM1OFtEH2Ox6Iam1IwDeNKHKXImdUtCeA5CzqpsJTMbkK5tgj44Pb69lpkhqevg OoutewzNQSLu3R6k/ebNTMBWnhs6E0vJaZHvMEBURvm7p1/o/PwkoMgp5lV8ccSJdDQ6FGAg QLoCOw+6sQq/we5EDbCN0XclbPQNu88XtQLORY0FBi3Q9Z490YN05CR+C5xrJkDzgBkUGblS LQq2JpaI/AV77LxfHbCK+2YlDOwtUeCj6uzEDYSmExdwAMU+KTSErqiDq2SwxKMbzou3qgbt J+8FWm53sEqXrOKkV5ZgG/gj2FGwlzb0qMASwLLBQwiOxOsImV3epB1B5XFRO68CNoqLpE/N Tb0AAgtmkcJA39X58OHVZrh4NxexlhJcWYkcFZ08iE8JKrztbD+5Z549/gEDF0Sg9BplDkoj 9Dy8O3xqUlHppt9tVcpQ3UfaTxQ56EhNC3iyhxT3MvDQ8ib0evLGirvkEyQv2PNahfhGzipW 5AHru2WFDc7vCRvMHLR2wDkyiKBYtpRAVLeZwe5AlynTWobWYIEo69KctrSRK3dsdQtGWbZy GbktwFZnzxhZx8VDeUbso7Nzc2YCImG0iruzCWTViMgZdnrTtRJjwkgiy0Lz4wUD6GiP3mhw 1pcX7068kC49UW/3H1/2nze7h+1E/He7A8+JgQ/F0XcC33JwT0YG93Q6IOxDuyxdyEDQvCx9 795uR6NgBoCBJ6AXtBQVjLZkpmimlHEpVBAUYm/YfQ0+Qxe4RgrHitJZIMyYyFxyF86EkqZy WUThi1NKzpgE3HX3/qa9voq+Q5VvrG64U2mZ4KAIA05Vja0b2zpta2/fbJ8/Xl+9xWzSm4iH gPbOc3uz2T/8+fPf729+fnDJpVeXe2oftx/9d5giWYDxak1T11FmBxwzvnDLOIWVZeBCuplL 9Mt0ha6kj1Fu35+Ds7vbyxsaoT/nfxgnQouGO8aIhrVZaPp6gFeCSeN8JSBWsemy2Lo3KG2e BZ6vXhngiTs+n7EMHINiprS08/J0XFAJcqoxhszQB0jGR6HHYAN1yh0FY+B4tMBaIjGfRwxg PJCUtp4BE6ZpDSOsd798QAMxduj9gEPTg5yygKE0RrnzplqM4DmnmkTz9Mip0JWP9cFGGTkt UpJNY2oBxzcCds4++qVtXWag6JkmMdzmsqL3YE/mcOxqju4H5idhDyMBjTE7FQXLc7ppDK1x 2ZpAonOww4LpYs0xvRFapXrmA5sCNBrYoavAK8JjMwyPFEUMz01wnz9xWrfevzxsX19f9pPD ty8+XP243Ry+7revPpr1A91D5NxmI3k9U1IBC+qfXDDbaOFd6Fg1lbXLuUT5FlVkuTRzyrMU Fky5jMN30HeiABeSikVxCnFn4fSRowbP7NgZEagJIwQ/w0hMMiAUtaFjJkRh5UAAEeL0a1Em b8upjNbXtZ3GLNEEOuPXV5d3I5twZKcuYwkRY9GEjO7tRCu1jCygD0JUKcEQQHAAMoL2RWgq 77IGkQVPCNzuWSPCVBEcMVvK2Ovt20YjsQVY5n6cIf27LDu5yemtPg57JmGSoiYZgEq1U6Ws l6whaH/3/oacsfzlDMAaOrmMsLKkDqu8cQZ6wATVBWFAKSU90BF8Hl6ehdKhV7kYWdji15H2 93Q7141RtPSUIgffRqiKhq5khXlnPkJIB76mA+ASDNzIuDMBvs7s7vIMtC3uRlaz1vJudL+X kvHrlr4ZccCRvUO3e6QXs4qKhJzq8hY/FmMnoBjVdqbcZ8FuQpTichzmlRlGD1zV63ho9KVr sB4+cWGaMgYDu8cNvKzRX7l5lzarZWIHwFSWTeksfs5KWaxjopzQQ8hamsBD7ZKdGOeLAuxZ kFeBYUDl+bVEHn0HcIcICo/KIXQooLHJniAyrNHkUfU44MJWphTgvF/TZ9ojNiWniZjXwuuw YLlZGFVXzjsyLcwEnstUzMBtvaSBYP1OQX3IkQKGBiCvQB8S80IJF8Dm1HGuvmuWCgEjzOpu RvueIcMpolELDQGIz+J017eolTEZnroQXKSUQBOmgAsxY5zO5ndYnkFG6EW4Z4LQjldcYrhY cnFChrtTMnNwJ05Bsvrdc6j3t4Lw9vPL7unwso9uBIKotpfHKg7MTzE0q4tzcI5p//jiI8Bx /olaCZqx3fG53YSAecTeIc7lDQRH9L2DAlUzpT1H+Z6Orz0f4LGDz9vU1LVbKTkoAX/HN2jM vvH0eAkcWPm5gVs4Tq9Sc3Zy5kanrAcyJKnxKoX3UolT0TW9o726DnozAl6Wpi7AL7v+JzDG JGTmwyNcRem5oTXtdoJySXtVoHFUnkMceHvx9/sL/794j2pG+b5hRgp0FtfrOg2Nc1BIHsqI MM9FEuNgZyJ6/xevhQNpkQVyd9F7t3gJ24ihRsUdLFo8iP2VwRSZbuouHxOtDHkV/cqyn2dA 9QOMqBp/Y40XV6vbm3dHHmR2DnFyUyS5n9JqHX9hbCetvBej7d2mHPX+xQga7iLmG51BODES /vTSYwGvwEDwiTqKpfdJDgHsUKZoF9QFJyUbCx075VeGtQcil9EHxLTNNApaBMdUDS1U9+3l xcUY6OqXUdB13Csa7iJIgtzfYsMxo+Xip7nGK94okBF3grKT9XxtJJpJUNYaJeiyE6AOroWr fOj4e7hAcRuMtx6YLh7ZS5dWcQOEGfx+QlbIWQUTXkXzdSmvZWaiCxteZi5BBPxOWU+QLpmv 2yKz7VCj4A3fy1/b/QQM3+bT9vN2d3CpBsZrOXn5gpVoUbqhS9yMKMdj3ocOBCmXOc6s4LQB J5989RbP7bYB2VSLpk5Yv8QEXlfQg13qMGHnWrpUrrOtrTPBJkhuDnKCuM7LnZHRtR+r5rq1 iXJz04Ktyo2fJAFpsWzVUmgtM0GlwBBH8L6yJQEwfkLjlFnQkNTFogc31oa6yjUuYW6VtOWs Ol2/IjWkg7nIQIsPbW1SKoc44Ojj0GCZkTvngCfEyLqkY7xkUDabgbrEaqQx0u1c6JIVCeug qfNgp5ibeqZZlpJ3DuaOLF0Ol3jNcMpa8LdlILKjRM7BchXNrHPhT/qbKZ1w8X1HrqD9zI2B ABYMop0r8ibKsc2MEActsgZLteZMZys0S6oqKMYbxI/VIhDiuL27lYynQABJelbb/NQhjoTm zhYq8p2AYfD+GbhhTCv1RwF/k1Vkzr6Wx8Bv0IR5RGVfYTTJ99v/fN3uHr5NXh82zz6EiIJM lBiyp3x83gZ1vIAaC0ff0s7UEuLALEvKOUJwKaqGSmY6290N6yaefn3t9fzkB2DVyfbw8NOP QdjDoxNCZp4pdLlGLosRXJb+kzKmDiGT2kdeSUdWUbyEsGOPsM1VJZp0GF5Nry5gGz40UlOq C3AEqvppE5YYdKKGAyBCNJNgoQrvGobwMWgHta15QpBgpqYdLdcjGyt2RWBtKZuJRJZGxrsx VquJMLcVJxs1luZ1Csv7b0ELC68wsQFTtAUWtvm2dHSplqMsUms5Mm/NjMySedg0jAuCk6KP L/YaUkgrp3G8F8A58j+hywIUM6/50XEC7IeX3WH/8vwMHtTj/um//h7cS/TmcYu5BMDaBmhY g/nly8v+0ONl29enT7vVZu9QJ/wF/jBHlIRXVu7CwlVTn6gQ7C12j19ennZpT8w3uTiK7PT6 19Ph4U96KdEoZgX/ScvnVtA8i3etIFaU4vG3sJhVii5SDFWyZji6vMMZ+u+5PlXCqhiRHnCd qVR+Jewvv1xcDkPPhApdlzJrq4jvOdMRO5ZcsvQbJIFlLZdhERl08/ql2+W3D5v94+SP/dPj p/j+bo25S0oYsptfr36L9ur91cVvVGLSU4k1tOhqxY6Chg3PpBqxa1iVND1agqfdZv9tIj5/ fd70fn8cclynzx0wDY5X7KBy0kcS/cX3zPnnboL8af/5L+Tz7MheXQ+RhYU+WYbZinAVudSl 8zYghKcD00wURaunQT1CxjMIvKJUbahZ4NMXZSVNnFUQ5PM5hlJYi4bBbA7R0pTF0aI0HBXu NLdA3UhAlK9anne1XwTNM6VmhTguLmBKDzCxc9S1Ys7RpV29H+oCNWryDh0rW4ExFPw5ZAxP 1ACscvKD+Puw3b0+/fG8HY5KYm3Px83D9sdAKfUHBVuzZGHtGbYIE7uNfgMXZ84OMTTeCZai XQHD1knJD8JxxShmWIEAbrMmY1xE5Kw2DV64O+SYtB7mzCH8y+Bf7sqHo7lGHhcBYdAXggys FpQiIhGTRda/OVlAAGrl7CQM7jAbR0gdknZsiiuBsBWLQmtMOblE2rE2wG4/7TeTj/0heXU9 HIx/P7QMboLwUrUBnXjP0hQZoNEZRbQxqC/PQJcmCQ4TuH+QA7ZHglCNcF7/PAwLlZ4O2wcs cHj7uP2y3T1iLmJIQfSqSDMzTyrilK+8Ilq6QjJXtwmnd5coqTMdITJJL3t+b8r66I0McYDT ue1CrA0mNPMR7jmpGXEEuKtWd3nRVC7bg+XFHKPY03yeK9K3smqn3ZupcCAJG4I1UUT5z4Kc eYGFGxRA1XR7Nwy+2MupWtu8qXzVmtBa9d5xlCN1aFEd6vDqyo04V2qRANFnQIGXs0aF/npv XgwciQt6/NshIp7PwdXHzFdXQX2KgJLrU8MkYf5loy/Ka1dzCQGUNGm6FcuRTJutK4b20Lpq YNcjGRLiUNOyKvM1P91Rd05RhOdrPMMmXqR7M1+1UyDOF6snsFLeASsNYOOmTpBcbTzwQaMr sHWwS1FZbFooShwdZgEwDHDV+758yfWgBiHm72tBdbcdWVOmfO12NxK8aJt405nB3D+3o4Gy 6l9wnRy/50j/RKW7GU/33bf6q9IRWKaakSI2WXOvu4+vbIn1dcnxrogvwTipDusVYVdBFoH7 h1SDbiL7Jp2AVVWVrtuvQVrwhLrjcdVG6RkSL6FG5Lty9xhdYR/eSaUsq7L+1khwLK8d4ABq MN+LWhCL1bWgMncO0mfdKSKi6tNUE9/ho01KicS93scMoOp1ryJsWGfOC6zLQ6cRXLssAODV pZGzLo9+fQJgidIc1JQFfWf717Z6dRce5ygo7e53cgRHY92wfzAXeDa+zRX4jyb6cIQaTuX6 qr8OgUUcw58ZV8u3f2xet4+Tf/ta8i/7l49PaXIM0bpFnLuLdGi9mY4K9DFKx5eu4Htwfvvm 07/+FT/pxnfwHidy3oJmqsAR3Qcr7kLOdw8ADBaw3wb3qB2X0pcvjn/xUfDJpcW0q3U7jlNM M5YTo+ArIRd1aPEhrubr3w9NzYxsjF4+D4+NrJhpadfh3D0Qy0qpzLB7CdfdNB190qj3akq5 P35cXyWY9jBYzliz4jQ5sdkfntD/m9hvX7bhCwMGNt05Gyxb4rujUGbBN6wGjNsovRyBWt6U rKLrH1JUIYyii89STMnHsvIxHsvIoDBFc/lu0NPn1qEhGCXTHUze0TuB9atHAE1uCbron3As 05LG6Rmf8YiAvtlkytCU4YvZTJqFM/cjZSIVLMs003MTQ8ALtJnudpyYp4FBXEqBnKyXxKyk yMfm5KbHzOTIPIV7Hn+W1maEXxdMl/90BhglnsfAX1S4eX+WgkCi07WigJYf4mxr14ZBpXt0 5X/kQE3Mw5/bx6/PUWpHKn/fXikV/lZB15qB4eyKxxMIzwMHuP8ViQB9uBXqYNCBvjXq4EgA mTjy4G7e2zeP280jWKbt0XTASsfJDYCL9TTWhj1gmlMvs5ipgjwksGPl33fUYMGaingBPVyS +6ybLlcJBrpH7scxMjeM+wWDcRS9ohCcr9A/OmunIsf/Qx89/tWG4Tmxzx/9vX34ethg6gh/ 92biKukOARtMZZWXFl20IMFR5HEc3yEZrmWdBjRMNfYEk2wsZVjyijN0cYWjtNx+ftl/m5RD ucNJiuFsWVJf7wSWo2FxIuBY7ORhxJl3nePRWlcX7PsFIjIMd8zqRt6yKKcxk0TN3aAsLY4A beeSxafdfQFZbV1vV3b6btjDsk79UjAPOqmB8kX+qo0u1hamPJVj51L7X7DI9O27i99uaE4/ eRkRFJKHEGKrzwccFBR8yRVbR94JiVb6x6X/jzld5Z2rvxpmjh5SLaKrKF4I5su1KNaBEM2m P5bDyRf/93F+6L5WKmDg+2kTVYPdX+cQepDDlMkrqP4xE5xeHcV5Papj1dMkjXsa1aeoIg2J mRu3qZj/WdCPQvwjl2Ufwoalsq5mO/3ljMGvb2pQYBWfl4y8CD7qu9oKH3SGAX4ljqXB1fbw 18v+3xCuUCVRIBoLQab8wMVIXQ4QQEYXh0L4SN3S5MnjKPh26piu3EPosTB2HAWcpxZfbY1V YiOOF/Bzg6BaMnbM38XfVVgI6j5f+q0duKD2CVr80Rv6WrE++vmtK0GnCkAAqa5CF8N9t9mc 18lk2OyqQscmQwTNNA3HdclangPO0K0U/8fYlTU5biPpv6KYhw07Yryju6SHfgBBUoTFqwhK ovqFUa6uWVdMudvRVT3r+febCfAAwIS0jmh3KzNxEkcikfkhO3luILGI+pTnjh35CgcSOBqK yN+fojzX9G0PcuPidIs3FksXgJ+lZXTIneJF0tNjumquf6fJHZprEvUww31KL5xWbLErcTuD IIrctDjRHFLNy55sV/4Ulv6JqSQqdrkjgVz46mhLo2cVlg7/PAxjmdpBehl+Cswtv984e/6n vz3/+O31+W927lm4kaTXDYybrT0JzttuJqHZhoZlUUI6dhZneRsy+pYTW7+9NXC2N0fOlhg6 dh0yUVJgHDrx3UG0vTOKttNh5NRv5Ksu68KJ/X6uqtLORDVZUtSTjwG0dltRQ0Kxc9TblE5X X8toklq360YPdvdfnd/sDUHVQj9fRodtm17ulafEYNulfTOgUxFdEs3enp0Z51NZl4hPKaWI r9aurNKWyVWZnWETykoHnAtktCWdLD0obzBhiQw5924Mkns2jcoDzVQ7UIa95lFbmzr8hKYK avVEVsrsEy/SsrLwGK6AGVTL7Y4OIE2XNVWMrI2d8wBbn3GqqkRoqs76dysOGfQHHqotTbDj nqHO3XXG9EJArZbSAiGgCd2d8ZRe41JLJUBG5OXACiFS84JFVXM3Xy4eKVp7OFeW7mCwsnNF WxO4o9xoil9tSVPLtAc/6fBEVrOUDFVZbqz0rKRgTsqkcOq1TYtL6YnFFVEUYTM3FKIntqaH KFNq8OOPlx8voBv/ozP/WFFznXTLg0f7myAxqQOCGJvH956qZ4xDLCtROBNf0dVyR9lceoHK NBj3RO0KNSE+UiXU0SN1vh/YQUyl4h6H7Z4P69ZNPuiVZBxbxw4lLqdUwfB3RLt5DGkrekEc uvQRO/umiDwGd2V4Uhyp023Pf4yJYcI7C8wkt/hR824XyW6WSH/fJLn9JUpxK0+8TKJy7bS4 yT0Hf3t6f3/95+tzj/xspOPmrWJHwPsnwafkmos8jBq3aGSp9cc3nVEgvkzzOymHP8M+oUg3 gPw6AXdXn9ZGnv3np16A0vmG2qYFUV/eo/K53VVOpmOfiUcP6EUyBJyk4djUiSizoX9Hmr4y R+zqKYtnJZkkD651RHKcD2FwMKL9ZuVgqWpqMlPOchFS/cI8OI4933F3dCeUiI24opAbi2qY 4x2zLBCL21AZYG1n6iaPovX/9DBTZrbA4ISMvIYcBXLuSZl57RBm9l7U4aKM8rN2kzaUCvSU i0yng57inFP1nQolbzPQJpuZxlfo/lTkRye7rHSXD6S0Bzt0UNFwhaANcBoh03KTTCSly6gh oFoeRmd3ZKUrmE0ST5zA9I6vnEvq3NTBf6pzQWUC/RkMfVhwNvaqQXP0tbXhBoPHIfqxs+3N Pl7ePxx/BFXasT5EtJakNMuqgGN3kQs61CxhWcXC8Y6sfHr+18vHrHr68voNfSA+vj1/ezNu HpijzeFvGMkZQ2S6s2fLqQrrMFEVtm1aFcya/15uZl+7tn55+ffr84vh5d+Pg6MwHQ+3pePz HJSPEQbOkRPrCiOyRV+uOGzMuTrQE5N+ZYY+x+24Q3TBrtiF3mKAF3AqKAY5h0vf0/BrFupm htNgBpQ9c4/2q5iNwzV4MtX1NUh6uBsEzlKO/kJoKTDPP6Vedx1hD4nALTV4dlyWYvCHBzpW GrlCOUDnJPKkcnqnPkMZsaMKPYlp24/qj18ZRkT7equIXfBsg9zyKeg19rxEp/be9Xzy6RKx WixobwzVEl4uNzf42g9FA35RK3hgHZQCBJuMQo8xAdY1aloquun2BYTeOdjJnNhJdDjG24+X j2/fPn73TldInHBxYqbFa6S1ydopqWcEXFJnV0OC1cnq6Entx+8wMzhsG8r6bYhk1Tl16x3W 6WJabFCvKCNKx0xPURek4yQ7J2Q0V0AUfUHYTqvBLIato/IFF8XtkVyDLqKKUst5+wLal+Ot rkg2gDqPD3jeNvwB8lQRVCyCffPey+IAjlIMRmgvrEJUQxsntRfjGK3Qg5W2RU6GZw3S6FoG jVCAvAqa4BAGRNnoRtC7G6KIcn8ni+8t16UHu3yU8z7jMLSkCtkUhHRgX7SiO2o1jCsGkWXP Qi0dbwAR4bPR0Jrz8VtmJhan+tktHQrMcfQEreKjMLUL/dtZADqiyEvTZaGjHsqpIWNPn5A4 E57DV1QmbSoo608em4fFmIOSeBC17b2A5Jx7LpeA50ymTnd6+j6LX1/eEAX4jz9+fO1OsLOf IMXP3bplLFiYT13FD/uHObMrJEXmVqbMN6tVK5YeGzImqvcbzzm9lAyUWs8jFXhbFdM8yrTd H14woMW+yz8g6lqk8aVttTA644JCjryrmjydhJkQfRkQFYLUI9FDGdGlfxXDrfREvRnjaV6f O/KscJ1bTjoiJolSJwbJIKuQIwNrHipbZ6XtuNnTQPs95eSbEzXLQ5Za/uhlpYsZ4vnUuxOf 3PjAt29PX8x4pvgyDedq6oqNoXNjXQdZHVgwtHPsZkpgCPGjFnX040efWMOVaNwK0rS4WFxy XHUqRyXOHoPDoJNUnusZLYDbQZcNLLxZQZ4JBsxhRPs91YXnbSFkn08pQugGsP91IW39whQd LOch/Run44QmzeiVjpZl5iGtT2w+MYSBPQrYN8RnQWL7GyEzjnKu/UKmxxkELZisLvBX7sQ5 4C5LIJEfcg8qbFbTam5BuWO7YDM60sMFkelIlE3e9FZQrgrqE2egP7BDNMYOT4+JIGwHuXde 25YO1Dly5yfYX4KUtsf1QvShIHROlr00ngekDKG3RLlaNrSi/blitMW5zyVkfL+ljyu9yCnz WK17gdTx6ZwWUgX0Fx265w5fNjSAas/3tVJ1HloPeHj2ALGA6oHLfQtHalKgs/jc+3b3WlhJ +wvpnfucRRTKwNAtyCc3T2C0sWdPRl7NqkM0NXFnr+/P0ykro1wWlQS1Ra7S83xpw5SFm+UG VK6yoK1xsNhmV1xUiLErgqxl0hq9ZQLrOInair7bouAGICoozFmvtRt3uUB8aBpKoRRc7ldL uTahBWD9SguJINsIJCesV2q43GxWmzaLD6ajq0kdHZNh1XxwJBQ8chfbKivTNRRW2dSEdSpD uQdVl5lmQCHT5X4+X5mN07QldYrvP1INIpvN3EzVs4Jk4ZgeHAFVj/3cuppIMr5dbejbzlAu tjuahSaUMjnRrzycZNBZINtYsv16Ry8wKatr+CBtxMtVB19CVb5i9ggygDQmQeLjzF+66732 kI5gM8oM8I9+lCg6rAZLY/yNxM2E6N6Jd2Q4nWx3D1Px/Yo3lu/PQG+aNY0a2knAabzd7ZMy ktRJngcPi/lkjmiqD1jG4MLslKAsWWFi9ctfT+8z8fX94/uPP9T7Iu+/gzr4Zfbx/enrO3bb DB3zZ19gLXn9E/9pPonWmgFR5sJiKy0MfRIYaqel5QiEuEhZZIOT9MTWsxiOAnVDS5y1mnvO iNMTQiu8zTLBZ/81+/7yph6NdbBhRhHUeMI+zF/xJIeD4JR8hh1xSh0zSr69f3iZHEFKiGK8 8t/+HF4pkB/QAtOv/ideyOxn93yC9QsdvIKIJ/Z9BDo7VbVsWg8gjwo8tQFm4eekhzFYrree TSaeiqTLCuO+oGIiRAwHE9ECpexf9mMiitLdvTjU7NF4RGZcMpGl9FLC5qcq3NVUP/vwEwz2 f/199vH058vfZzz8BSamAc41aCnm83JJpWlWsT21kCQ6wZDRJJxPU1vYakLyimMo7kBUgSeT pg+7IrXgogBXMDbWgzmKnhaHg2NIVnSF2MIwZIXuzrpfPN6dby8Ra276tUG7Icka8IXiSEQN 9NBTEUgmp5VWSWjso46tEDSst5E1qyrJwuAYqs1SE4yampNuuYqngGR6GBy7irw5BCstRi5t g9B6KmSKBHmz1BLGeSVaupRuqK0ubQP/qbnotDAppTvxQHoP0lMq1ecMzcS+WjLGiSKZ4A9W /h0BA+akiuLQtwjGPX8voRFh1GM/bSY/bQwA115Eb4QTZGSLiw/LmTHGY/bKmlLXV/3Am7dd IL93W7C/24L9/Rbsb7Zg77Zgkrld/+nXEny/9pwt9fJ6ho/sa3Z2PmWTdRuUarEs3E+Mztjy 6k4nONxb7xrotQtKXFrPiB6Y2jTy6HKIrMuzgZVRJ46B6ypzA0Myt0agLK1I6hJXC2W/PkSf FssdleoWf0kuUBmr6vLxxtQ/xTLh9NGzm66g3JG+pmpVOElY0G2sMr36pkwmE6w6W50qz93i MSr0IvAcSnVrckHdIHXbebNa7Bfu1D/ox1ntfDDO2pePKCc7BgJ4u+MNiHhdOu3wOqLUbM27 ZpsV38G0WTq5jRwFrheGMGkl3quqO6OFT7aPJmAHabyY5kjhkFES27Vb11EmI7Hlug5x5w9Q hmc6nY4Fjtd4qiQe1XBpYfyS50wtwlrzpmMgCne46B2zjP2Dgq/2m7+mixK2e/9Au1ZrVVCW nvdFFPsSPiz23u/sxpQrVTGjNqYy281NW4OeUzHR/iFI29q2kyiVogDpIvpE6xEj1qHdgpA2 VileIUM96H3Iy7WVX/eSYlAgqguCRtFJHEBPiaRyDOjlBrTm/75+/A45fP1FxvHs69MHHDNG NwJD/VO5JtzNNSsCxBRJy6yLjjN33iHRradQlRB0AV9sl5axQ6dWobcs8VyzKRkp0iXlp6l4 ChVRq7bQwGe35c8/3j++/TFTr8EZrR4NGCGotvQr0arsR2mjBKkym7X7zYLMyUPbqUXxy7ev b/9xq2aidkBi0Du26/kEVlh1fylIFAvFzOXuYb2YTxJhNA5tJ1LjRA3iG3z/p1T86nP3lIB1 t/bPp7e3356e/zX7x+zt5X+env8z9c1QqSe7uzGNe4XXpGX6bWkNpWVpE6F6/JFRMwR4uEDM rWyQsphSpkLrzdYpSMcKMY9RGgTU3kG+Yu1cj+rfw6o2His1vTsHSq+5aDDiZz303bT7QstC B5LjqZs2LGbe4lQxsX0R34trkB4M7GcH0JnxB+0riZnAwgo6rTS9MxFHBPG/YJfHy0RnIQTu CZ99FaUHtB0E1NsrdIEyZ6VMTNw/ICrcrrIqzgJRxywnNMzN/lI9BdS+R6dil0rU0SQo3ZSI KmpBwU8hcFG3SsEnoPDaVb3abnHsTQ4In6OqsAjDwKSp7WPqYUi7Z/oHWK3uV7Z0uhmgkR6j q5UFvv9bu3loYhuTj4jgZ+p9gs1E2CGqiz23vtkI00QK6OsW/+vd8Uk6YYrahBdF0Wyx2q9n P8Wv318u8Odnw0Q2JhdVhE5NdN4ds80LSa0HGeNQ+UIm3Y21dcpAZKAoO2UFDIegpnwt86ju fPSMVUtY20ZONL3fvE75Ad/4SOy3dp0oKE0BrXJO3er03Plm4WaCDqpERpwEuO2ZRbaf//XX JKuObq88fTECRsDNLJfz+XJO5akYNnCPy+TWJ8HQwe5LTQaMcjsa7fAO1nn4+v7x/fW3H2jC lhpNnBl4rhSeeLBZeb1zMF4v4DBjYlqVHsIDfde/vUBWP2xW1HlhEDjvdtF2vrX0Cv3OWCLK 9ig/301s2YcmrPaQFgFLJ+EbtlDpCSvtJR8587zH1ktUEV5sHBEz+qaczCTHgNL9an7DuYoS zmgYceUQnpvR91k4dWbT5uN2xT1PThkyLGRlTa6hphDswtYpMqoXK/KlXTNRyrjazYwdRIKa X8iJA9eQoo5IwKzuFqmWTrxOny5jn20oryhnQ1fd7QHy9TtT4PHE8to+nJnsyv9ZexGsSkGZ z0yhE2zf9olNUdo82O1Ih28jcVAVLOSF4bserNfWD/0kA+i77kuhHU8BUN3g2yplhm5N5NVG 3hhWE56bgXO1OBT5yv3dJhcrtAZzsA9z6v0o95p3rEzeUBWxO4dbjwcFOSMHEkrltr0ENk7S x9NMdBanjM5PH/yN/ugsAbXldz1SnRcFpxIroi4Dc01musaosNu5rs+Ux5XZECF5YU8w0sRn JkEg6Nwaz7xpQbf1nBT+HzM19LyDYYp4HEENEXxO0IQmD6KltaDq35NRqanwF0FbTWgpQo5U E7I8XhN2OZKDJfqMm6BnkYlPv4paUm8MGUKJlTopF/dWjeTELvYlfCLuflixW27cTbhnuY8N R3QVIvvFQPUzcn/DFzBvJcUhsH4MH2i8fzsEZw+2SnOgJjGSTSxE/Elkq8i+OaS4vmLXc48n AzB8aTxAUnG2mNM6ya+ZLzi6+yoZq86R6TGfnTuloV9gjybiBP6a2EaRhku+FPblxfFKPZFi Fg4ls7wwxkuWNuvWub7RJLeTTa7r+qKIPtvCkALrvHSSbfzHN+DKy012fLnTXFBm7SlwlLvd hjruaAZk6oh/3u3WE1cMak0YFOf7VYJN3X7dBFRN3hb4SHQfQ3onk2tlp4ffi/mBhM4D3Tin 14ec1V1Fet5AGBsod6sd6RlnZhQh1Ik9T+XSg4Zwbsh62tlVRV5k1gjL4zsdm08Oxx1jt9rT jnBm4rMIhS+WvJMpjtajY0mrlytDC0+KO4u1RsuDuXUQuf2GSsLUuztE8muEXvaxyD3N03dD t8sFlTnFmGkzi0cMTY18MEVVRiuURqaV+bRotZ2v5+Qo6w5nI2+3WO1tWDqk1AV1wKp2i+3e k20eWTfCJg/DxC1nHk253R7JMrSbGMus2moi+yrUTBBFPpyVXgKBmGP4Yy7o1i1VzNuMh+iL lRNUyu0HeDF+TX9cdl+4SMkwXkvEvLYVcu/czQq5uD938KB8rxs4rA4TKIaeW6s10Sq4zpSJ rL6zDsL3GrNMWFles8iEsdR2MEPhxyD53FzxxImu0zUvSmlH9YUX3jbpwZkx07R1lJxqazHS lHv9eF/ifG+JuojPjo1PU9rLhlb9BvbK1AA7anCS7fSxSoMpcs0m623IOS9bUk1rROUzj8Rh SPcM7LUltWIq1T6wlVpUsXpvH5toAfZqCscrCZEx7jJEHTBzhVBUN35REdWOnglBXq4lV9tj UhEMfVpetOV2yDKNwrauBD7FjMITAyUUNEP6JFjaWDZI22wWtk5RvXnFLWcUkIjonpAPLte7 +aqxzc7QmcpnyykGyLuHxpcRfgEFQOF0TG9XsYvggrOQuSV0J15PCSGDoTBkNM7xEtWdpbfx yK/5brG4KbFb727ztw9efqzeLvJxBS9TmFBetvLJbi7s6hVJ0ZWrXswXC+7pmrSp7f7tTixu X/VkUDy9pWkF/CZbG5vvS9T+Ph90ak+L9LPsbNKCxxtpepuyk6RTO7xVQUWDalA/DdGobHWu rOF83ZT2dlExGP2CT4rpVWi8MpORW7cGA/mb9gCrwbLC/1NnMf1B4LSz329MX+6yLK0f+BYF IpPaxDBC0HZL7UXyFFTSYGZlGdm5qNtJNwIYGAWjX/wFjpODcnm2SQq3v7YvJiWNKynTZHjH FkMCfnl//fIyO8lgcD/HNC8vX16+IJi/4vRQOezL058fL9+p+8KLo28p3uU1Y80M7xjfXt7f Z8H3b09ffnv6+sWIB9MhMl/VAwJmJT6+QTYvXQ7IINb1iwfH5Zw1MIToW6bOetV6rl3r5JSH 6JmU+p9A1NeTUvgvNKiA7nGdkqFHfbUfZOwiLv788eGNZHAwBdRPB31A0+IYcfNtgArNQXgk C8RGk/UbBEcrElhzMobPmnQcVcfT+8v3N/yqFm6LnQgve504VZuDgfskbLYjJmEKR3nbfFrM l+vbMtdPD9udW96vxdWHQqUForPDd7jaGGV8nEk0vpXgGF2DwkEp6Wkt7OdkTQyBcrNZ0qcQ W2hHR6s6QnvK+DOI1MeArucj7JkegCFDZrnwRPUOMmEHVFZtd5vbkunx6IluHURQ9bwvoQa4 x7lmEKw5264XdEycKbRbL+50s54dd9qW7VZLenWyZFZ3ZGBlfFht9neEPCD9o0BZLZaL2zJ5 dKk9Z+5BBtHv0Fx5p7jO0HBHqC4uDBS5O1Kn/O4gqbNlWxcnnjgPEkwlm/puZqhotZ6Ln7E/ a9CbMtIoZSxTli6JBFj/aJcHzZVRJZjnVSwloN4oVi29IQRHi43PiVlL8CsrqXO25kYIg2wF Vdr0jufkOXBlRj8Rr8XOEo5KjE3TuxPd7phrzkqlLpJlj2zUIfyrPmwLCHVP3ddpAYWfbtkC NEUFHjMecQ9GviklSlCq70klLAe9xvNSyCh2DODHPaEyOjBJdnknpIcVKFKg7a6nm7MaT3o3 9Q9n69ElTdvt0E29aYvc8p/TTBY+LNYNTXU/osWTpMFDiwQZW9gR6t1+vWrmbXCqa9KZo9do moeH7X6FRjTruaWOzRerh92qLS+VzmgikMHGsJlPWlQy56EPTT+US9ovuWejsSX6P8aeZblt XNlf8fJM1ZkK36QWd0GRlMyYlBiSkmhvVB7bZ+K6sZ1ynHMzf3+7AZDEo0Fl4TjubgANEI9G ox9FYxMfZ6q8wCDIZEoURnQqWX7X87rfGXJf2ldwkxMYfbz7ksWY6Qt6S5okG5ASd4JyiXDo P9On1CiCnoq2tmWc4TS3cCPVntM1iqx2naVW2mJ7qNA9QXxm66hhWmT7x+5PFWr74Rq6Vi1k OPrAfi11Nq1qvEKP9S+RZpvQiXyYeTX12j4RJWEcGGL9qRaTyOQRcYx9a6VsdrX7Pm1v0W13 n1PV5OnKCT2+xq01MaJw2giMHpJWk+OqHyqf2igYWD2GVJQSl2icHamv6EQVML3tlHkBazjH i3RerNOl5Zi3Ry+CDY9PLVuWnYkyCilKgi4e6aTHpro0n6AZ0GbUx5Da5qkha+qxm6E2jq+1 DRB2buw1uJeL4As6vRzdUEA8HeI7Rnc2Pi2ocGS4iFRuF1zVcf/+yEKMlZ/2V7pTuNobIryT RsH+PJeJE3g6EP5VoxRycNYnXhbLbhgc3mQlCH46tCrXHDorcxjcFhuXY4Vpok2QFA12Xq25 SKiVtNmZbJtfpix1HxgNUek2rQt1PEbIedfBhVRuZ8JU9Led8EV9cJ0bypBhItmA/OGO9/Ts 6/37/QMqrow4RJrO7GjL5rZKzk0v+wpzDx8r8MzTaXthJA8viFo7HuQg5yqBcday0N5adMvb rEpz9aE8u71DNTfpDLQfUq4Cr7QXGUQwp17aYfN2l2khLAREDXc3Qs9b8mV8f7eXjSlK1ety d77OK4vB3HnbUXpP5i0qkqfM9XJop2lP8+KoxQubETc86yZ3nXt6f77/ZrpsiU/DkhVmyls0 RyRe6JBAaKBp0Y6Q5bEeQ9ooC2ekbHakMlai2ODXu6HbAVC3rwpr5bRzslyBlbG6wLjJ1P4v U+3aM8bulVKDytgW5npZF0skxdAXu1zOvqIwke4wUnurxP6Q8CxeoAgjSPaCe85ZYoIprHap tQ775jqV7r0kIb14JaKq6SzdqNW0CwoKlqlxaO3eXv9ELEDYzGWacTOeDa8GrjG+65gTlcMH A44fqyp7alKNqHHe2Ts8UU4TxNUo1BDIElCa1Crys5w4VsC6LNupD0UK4jKjXeZGZYevriRD E9qO0YVEA0/fTwUZrI910eYp0V9xbn/u060a0pvGL2wGFsrz+rZJOzJkhlJuqXUeuTsd+CLV l7hMtE4POeYP/R/XDb05cghBaZsA5WaIhsicyWh3JnjUez6iLk+EtKW+Ioo9v1MU5zkfAn2e t41nMAyweWHMcVYEdtNVsFeQgz6jrIOE+/ad64dEZ/ANRNO0zdqhMe4KfZcWoSftQ1E2dYk6 qlxJp8agOf4wlYRyl0JUk+5KEY+Vvhux8sxChc5iK9OpsgUHdZbY2Ax7wqw3+d6SwpPxhyqI /YZyPbg+gdi9y2V/lgnEEhGC4MtljKnKGW+EzDcoUtkNfAZvCyX0+4w4qs4/MsIi4e2OrZxy o/VXkerY3zToCkUGNdjvbtldmvv5c5f6B0KaNsVE8mqLURAwj07gqLZ2MzygX5C6rPUC+lml bMbY+5RUfIILnLJCsl+wJ9lUyk2WxH70a7RqGgewyzQIywnL/CUlTXg6cHhx7JjcP3+jhrQm hUW0za6L7IbPIkW1nMFPQ78vw4RiQUBpcVe9QwxlVd0qNl4jhIXyVa7cYkK3B4x23hwMWQS1 C+YDtHokYrwOpunfg1i8LWmdK6DZS0m5k9NFIZhlm1czpCIUZD/Lkyxg68Mwzs/657eP5+/f nn7B1ERus6/P30mWsZBhuTbCqz4LfIdMOysomixdhYGr8j4jflG1wnDQs1fg62rImsqSZhdo RLBydIqzcMYeV6aXaeh++u3vt/fnj68vP9TOp9V2vy57lX0ENtmGAqZypZMaBSNNajErm+wK mAD4V4w0OQcCMS9cvPLSDf1QbxGAka+PIAMPlMMZw9Z5rAazmKHnLkgs4WQFUeKSiSLYa1bi aF+57GQXUg6ptaHEWCaBCoKZ3maFp7MowMDjSn0Plz9r2YXhShsmAEa+Y8BW0aA3QVvNCkzT TvmpcOVSJjas5qwmYpjidvDPj4+nl6u/MCY7L3r1rxf49t/+uXp6+evpEU2IPgmqP+Eq8wAL 8g+99gx3I8t+jPi8wIwkLPqXKrlrSCllklK/RGKk0rIR2jxeNLJ1essSy1ppi63nWAQexNbF kXJZQhy1OzENnAgNvfvMAt5bSu/ZQ7w2LbOUSCvFZ04Nl2cVxs3pxtlR/ILj/hUuoID6xNf4 vTAFI9e2CH1/rlCJqlbcp/iGfpx0MvuPr3y7FvVKk8mYKfz5nch5rR7uKcs8qE7hC18eA71Y fa1mEtwQL5DQL9z8RWKWQprS6jCGOJ4uTy+h6bi4SguWbX3/A7/EHA7LtEViEU/ZzUuvNB14 PFTulmPhZ7b9VsoKH2VaYmNdHJeKpV5VqkLIHj5vubtVgc2QesrNfILp3uCIGa1QrWzBjT2B DdSh1h7iezj0qnKzwUul2ugg/Ihk0LhQlCbubndf6ua8/aLpBKZvNuZ2EB9PlaEb9klomYcx WBWRNzh6o/ZJ3jWW4BDXZPTWplG0hfCnOVtnBW7fIIXRS4Q9fHvm0bxNe1GsFEYZgyLdMPmX 5mOkqXLFzEDCiDk0tfk3huq6/3h7N+WTvgGO3h7+1xQKMeW8GyYJj6+v6JabxGdhy0hjZLWc OmE03M1RDSlf7rK+pXYx7JBi+C8AsPV3PQtrVJU1yG+h68kUWrC8sVDZftF9uflGZTlyWVVj XGAZJpLHaFBmg+bMIvjTy9v7P1cv99+/w9nPmiA2c85unZNhrbhlwylt1jQD5EHPCErSc5Sh qtvdwEKLGoXqdRJ1MX215ATF7s714gUC+LoHSrnPsMchCcNpfsKk+1MMDr5DagMkl9vEbpIM Zh/7JLZ+NXn2jRDMl2jUcip36/2Ovm1wgs6NsiAxFjVKfYzpp1/f718fye9qWqOaE8ahppE3 0FBd789fIvGu5VOqeIFGswiz531TZl7iOkbP6k3+Wz0j3YE5ui3v9nI0DwbN2tuuZxrvY6Gj WEoPDcitKiigTlk1/irwzYFhBib2Tzsrom0d6ZsuCpNI/xoMvHJ13oRBjAY91clqFcyao9Ic XG0zwHuYVsm6TwZjTlTncq/P80aNriZg5blEbzSLXe9IVHAqMvQmt4PJM99zpy0OT+8LE4W9 uKwseUilVUC+YDN05vtJ4ph9Krt9R9uhMPzQpm7gUPfkkxLl5eSihtdYA+6f//csrvazWDIX EUmc0cRZDqIwY/LOCxKPxrinWuNAoPRzSOak+3b/3yeVCSbknDGIUa00xOGdpomdEMiaQ9uc qzTUxqVQuL69AUprpFB41sLJ73DnUzNGpbBz5/uwGdGP8CrdpSGIE4cYeobQZ9ncvcKhjTpU Ipc63Jhy/pweJYmEg1icekWomsH4b5/S6dcYFaYTrW7N0hy+IPA26G6JpNTqFTJKmmeYMx7m t9ICS+JnlJ3V4NcY07FlB40TUd9a1MkGW34gk+HqvqFgLlUpL94R3q1VExTBI4DJPoyBUm34 sdr1Fw9dY5cYgkPPp/qonZAjHPZUN+YnkdGawNGKQIXII2PJjb0eTTLn1kcMFE5WDoGomiT2 YmoIEUMKSiOBrgSa22JjvDiHqj7zIzLYi8SxG4QxydpoEr1cHI74xOwwfNnADQeqWkR5IS1L yzSxT2+GEk2YrChJbJqe9doPYmoqbNPDtsDh8VYB7fYy1tH2qyBcZoSppA7duqHi9mlhu9if 52OZ6yChfuK3NG73wQOYE4ZKIqnauuwP20MrxW8wUD6By2PfDUh4YIUnFLx2HU/Z61UUpcxW KSJ7YdqIW6Ehz0GJYuUFDsV2Hw+uBeGrEcZlVOBaHiUVmmWWgCLy6JaD2MJSEIckS10WR95S czcJBik0K71xHRqxSWs3vOYnE8ELuhZ1dUYzs9aCaxAkTWFxwJtI+qFZ6lDeRR4xSJgrkJ6G Ofrmd2QGlomEm6+nOdkvfuNaZLoMb+DeQhvOiWGFO7wTbojxxsu9t9lSmNCPw85EjF4oFn43 cNWvlwd504O8fehTW8TpkW5bhW7S0Y/PEo3nXKIBCYVMODDjiRVxXV5Hrk987HJdp0VNwpti IOBwHzIC6M3fLiRDwox4fAuglwoqYEzo5yzwqHZgRbWut5hck4X33xZUaX5ILc9CRmOJUyTR wIm8tMCQwnNDs2MM4ZF9Y6jL3AVetNh9RkEuYhRQtMdZkiZyomUuGJG7fK4wmoiSxmSKVWxh 1AfJ0WZ2PxFFkcXRVqHxKSdthSIg1g1DhMS6YYglvkk5at52Gt9y1PdZFFJKk6losdt47rrO 7MsQNjPyCjBNjjoixJiqpk5MgNK01KyuY3JAAE77d88EdBKiGe3T9ZLv+xKa2FOqekV2c0V8 fYBaGl6Fnr/0lRiFbMyiIkgJhJtJLQ0EUgQe0aldn3HlTallnBnxWQ+rkPiQiIhpgQhQcOld Xn1Is7KoICaahoVrWqRheuUVtZU2tWJoNRWgwSjGenR3MIN1ttk0y6d02fqhd2E7qWoPbquU Uko5PeLEevjEyew3eWmj9xP3N7ZhJ1r+CEDkOXF4cZ+EjcsSQ0ImCoJgcXeDO2yUEDecvukC J6DPPcCFfhQvHyeHLF85iyIGUngOscLvqsil4N1175ITBhAXJgJQ+L8uUWQX6uCGSEsSdV24 sU8s+gKE18AhNyhAea5DB7qQaKITnadjYq7usiCuiW1sxFC7Jset/RXBM8jTYcS8BWo1PKWM p3Y4hvDJ+23X9128KIfBlQVOcWq7yFwvyROXXKopXIQcd/nS3cWJR17lARET45bCoCcegSh3 qeesyI1rhyYZy7vWLvUv7Vp9Fi8dWP11nVFyTl83rkN8ZAYn5x7DLEl8QBA4xBAgnBqaY5mi 6ay4OBjtATpKoqUr0bF3PZcUto594vnL43ZK/Dj2SZMiiSJR8l1KCJ4Ik6x15ZHZc2UK4sRm cGIuc/h5kzIDCEubFezuPe2xItNEmlHSjIS1eU27BKhEhUpFGUPqKwONnG2qkv7GcWUVE5N1 UqWXAoSJ6PuysziBj0RFXbTbYodOpcJFYc7L65h1Mkl7oTpMOIWRPzCgppy1dMSP+UG3e0wj XjQYQqKgmJcJN2nZcg89crypIugvfGapwH67iHgFqqp9ZkkyOZZSeTI7qXeOQKO121kNdyqj Z/apsbnA7axEZnZBohRJkRfHTVt8oWiMeYJCmhaGnEfEZKxkVVrToRaQpNtn57yH7XnfbXQr W4Vgns7zQgEKP3CGKzTkfKHcawWBVFgg2Eoae9DqsVKwULQ4PKJ/2fUilfwmZx/I0Udo5m6E GMEWJsRuf0pv9wfqjXGi4a5SPN06T5edk3UxkytjJzrdfzx8fXz72xpkrttveoJ3ody0IEIC Md/WJdz8qlfs7pxotexJdcpT4CWnhkNE56SqvivLFt9/F6sWlqYk0dizE815OkT+MCyVZAFf qLJp9uWAWe60Ps14zCCOWaUsvU6rskYfB0RLsx6gMchrAjrVVqyzM1yiAktlTJmcFGpdXYOx rUFkksxomeuYXnkHlW/Kvsm85YEuDu1+oUflOobmtLpRM2uxSjmlG9gGLXVFvuMU3dqoDjOj 2cpAT9URYJApInqj+j+hstb1NnqJJFYh1w35+a8boDrvRq9GOu1nB4K5OSTCEp3uBFOOuL7K w+6ofsXI4YMgfet1BhKLYwBjL9CAIINqc46F3hXWgAavgPPjdcxHheAXxVqltlG80msCeBLH G0s1gF0JrLpAs+s7SxGctUUDlzCf/EB8/6+L0rpCd+UKg3Lb0VnsuIkVjz62qefq+NGm7c+/ 7n88Pc6bdHb//ihnAs7KJqP4huo0DxN1s2/enz6eX57efn5cbd9gv3990+PeikOjga2rrIv9 gYlI1ABiELh915VrxYO4Wyt/wDbSyv6trFRWXu+ZtQpResTqQPQPXSw1Eqhw7ko5ZX6jC6tE JE51J1hndUrUhWCNiLOM+b1J6glPgUEy0sAzoxqi21RppxgqyvSYW+Gc1ZT0rpCZfRwTJM1O kP/5+frw8fz2asbEHyf2JtfkPAYZDVLnBQDQtPNj8nUbo1yORrFGobT3kthZSGAERCwcpWNR GTCCfBXGbn2i4/WydobGcwY99JXcJ+40pPM3+hIRzqUKXQ2CBxkojXWemShJb48TULZPwmqE PKYEJpPgakjNEW58CYRGliihI5pWpQm0G1IaSdbPzPWVfKYS0GR7RCh8X/fo+NWVmaJsQSiQ 2XxbsTa+jX85pO3N5OdGsFk1GZr4zw0iQPXHnO4q+CHMk2LEwFfvT7QlpEmItwYymPzEuYj3 QvQJMeyWc7G87siE2M/p7g52hH1uiXOMNDdFrQ2thORhOI21ycG08nzCg/xhmyqz3ZgKZRZj emMMngSUJZlAJysnJkolK8/OIjc+o4xFZ2yiMdhHiqKXwcZLzwwu7pgfd6MS4hVBhZiWgFO4 Rs1EY4Lb4thi/ZONudLNtg8dSxRohs7CPkxsQ9vh9qanqkN4GcTRsLwzd3Xo0NpGhr25TWAK 2HciS1akdD2EjmMwla4xbpEtnTer77bLVNUGQvvynNa+Hw7nvsu0UOoS2eQnocDQ9JKosCJD bbIPzvwqFH1P00WuE9LHF/OWcFxqv+Wo2PjaHJ7Q7gozgcXYYyRIAkuk9rGH0HXSb2ZqIYlo 1lZkbyS0duiNUCMys4yjgyYJEti8fEUd3p+qwPGtc2UMzmqKNqfK9WKfQFS1H/ra7KBiNSF8 9OWS5Q/d6UcCUv0eUbZwnFwMC+LKo59JWV9quPTbFx+iLRaLHK3vnCaaNoIQ6MBi7yfQvmuI YxTJ0gAgSegsCHWTd5GATW/UBEjPHzojeLah477qNfurmQSD6hyY99auO9QWk+uZHPXCTC38 uwXgqN3CciOVUhKNOMUNVJr1SRKFNO9pHvor6nlLItnBr4YcNE2yVTGyeKthLMwAzrNMSo2I umlI3yzdwRXF1orlhJ0Jyq5a+U5IcQ+oyIvdlK4ZD5F4mTVGQg4McwEYbBUncUg93aokspGC hOkzP0xWlprRAyCmT5OZapTmFjlAIjgW6HaYEUVAGa1pNBE5h2cJkEbRc20W8WiObN4LEpG4 w6hHgoqPZUskFZWsPEvjIGdajBZVIu8Cf5q8OmMmScTEKIKrDJ+EVYKZZnO407NjU2THJHEs GV40quS3qCyCjER1ogy4Z3zn1U0qP9CrqE59SpeQYZ3E0fKURysfFz4SVTkKL55PT2cuo3nk vKEEPw3r+vTBrpFpwdBoIsWFV8NxYY2unkldF7jgJzDFg3npAFBNxnmvylbOopuNCQ3kyDWY EXlCKHC4/Ujw+QaPmGgpN0J7/nykq8R4dzQi3d3uLa3hK3NDtScT1SAT3KzzS2RDfbGmkrsM 2WnYOB7LrCAD4hV5mUoPJbPO8OXp8fn+6uHtncgzxktlaY2hO41XFo4FWaLagwh+lAgkRTqS 5OW2RF/4mcbKYZuiU7alqS5v7Y1kMF0u1Q5/9C3mhZK+8rHMC5YlVQcdgwquKYc1RtVMZU3Y jNZhaX6cxM6JPY7iQmdd7jBVc7rbWpwxODHqpLubAhP7UHphTtQfdkY/1ocNvnsT0BwV0bO2 mH10Uz3MRom1rs0UPknuv3/8pOYJZ6gubguz4/0JNiRqxxjRUUK28un+9f7b299X/ZEKI8ML l8eeVuFy9HUxlAeMqQnDTt02Faq9SOaudmlYmz3Ke98lMg1Q3H/6+s9f78+PaieUyrLBCxPV 0H5EWFK7cfS6T4IlfJemsWvJpCAGrznAxbjc0wcPTO8p4op4g7DM2ACf4moPfig6iYp5QQsS s7/HsqaufSPyqIbQlsC48pcLshidLD5nFBDNerQ/04jHHZe+1uJ+tDRGPG4E/+5Pj1d1nX3q UKkrYqhJC49ve2meNr1yDHJ4X6RhrHrWin2yDGKH1kPNBC4pbzI0jEvJ/ke2GAUW8HnoZXMe 0RRMuNiJrs0ymyiRPb4EmNC1cAxX2Yx7Qv/06/7HVfn64+P95wsLKoX45NfVphb719W/uv6K vcj+oQ8oIx3M3dDTpP8ZTuzqDA6zey8bzs0Y3FjxXCm3ZH01swWzFez0QnzdBpEFfD7Sx1Tf aFv7/evD87dv9+//zBEaP36+wu9/wyx4/fGG/3n2HuCv78//vvrP+9vrx9Pr448/9LMAz7/2 yOKPdnAeZb3ePEom3pRYNv35+Px29fj08PbI2vr+/vbw9AObu8JEoS/Pv5RpL44AuP8nsuOu ABeYnDHUx47D2csja7L9f8qupbttHUnv51domZwzdy4fei56AZGUxJivEKQsZ6OjyIqjE9vy yHL3Tf/6RgEkBYBVujOLPFQfCIJ4FKoKhaqQdy9sI36tj4+Hk07t9+U1sIsqDM3bGa03Kzu8 mtRg93I475rOtPPaLp537z9toqrn+CL65J8HmMoDiIvZwbLr/lSF9idRSvQbHOUahQTHGchx NMnp8X1/EMP9ejhBGNbD85tdgqtBH3yA44Ko9f203+7VJ6gJ0lUlpw9Y6ViPS6kpYckdGhEi ShaG8VTDxChPPf1mUw+cbEjQFahLorOpfo/KACXDop6UIPFkWnnOhmjQJvAc3anexEZGvikT G5JYGgyHQgO78r3T6fkdsiGLWXR4Pr0NXg//uq7TdrSW593bz+MejbTHlpjutV4Kkb3U/EAa gtwjl0XN/+GOdYjfx1WwisrciEgRlvieGcJGWNg7cuszOvik+ENwKlq+8BnCV/44Pn2cd+C4 0C2GNBwkx+9nYGDn08fl+KotrrOYt4PvHz9+QMRLO7HPQvu0RVymMmCr6GfN+30x3wYppKSN DFqWV/HiwSCFYWD8lt6c64gjyhBUKv4s4iQpDTbZAEFePIimsB4Qp2wZzZPYfIQ/cLwuANC6 ANDr6sYEWiV2u3iZbaNMTDhMo2jfaOxxQBRTwIhJCJ3AgjsrwKugpuB8qKJVm1VUcSKbVMVZ t0cZQ/izDS3dU0egh+KyrLn1OUWKhfCE0g9CpvCMNaZTe+Np5YQACo8T0UWoIyaMFa/svhU9 REQaE2ANk4UCb2HRAj8mgXmKx5wQyGppTokuNa85pm5o+XxApWJrNDMMdETiPOaKWwctV0Cf KXq9QlImPzyeoDf3BJJEU2c0mZpDy0qxSCBBWmaGgoMZKeOVUe8RAmKEKtcwCaoH15vaM0MS r99EVSzKEQvMt2rkPkxIqh7O1mIxE1XF1pDGfOtbs17S9Kv9MONiZv+GrNyQQako82BhLzTA N014/nguVgb1bVmUC9YTm6vr7qHMrQr9cEGOyDrPwzwnpva6EjqEbzKWUkhzmT23WIknOJFs A9OE1CxK1W6gF2+oYk9j6TZao7cHjDJBzas8tWqRXtnkZJ+n2+WmGo4II7wcAnkSScFpBJle 85SYKBDl1LOWekOTZp6lxRBbzDrBBq5f5izkqwhNaSGnWyP6GXM4nbgYq+4W0TYJwv5eCsQg YZw3Bk29VsCS4cJxvKFXERdIZZmUe1N/uXCwMzZZoFr7I+fr2q5czPKZ52Fm9hb1TbdHIFdh 7g2xQwsA18ulN/Q9NrSfam0HxHN8HI391DH7JQlnRtRNoLGU++PZYumMrbIpHznunZHKE+ir zdQfTezW5FXqe94Ic3q8jhc1LNcSzbUbdGC0cZfuF7dfRfH2axH8oOiK26fZJjLy8Fpl3KO/ aX+RTmdDd3ufRJgT3rUcZytWMqwFVwdaDJpOxw7ROgAn2B6pta7npGb0/Nh30CZJaIYixXRk GqAMDA9ndy2SV8aNd22ymF7N1zrXomsmSYFh83DsOhOic8pgE2SozXzJ4OKlyUtyIqw/z2sz SrJKJRuHfSvuyojrFofX+IlVGWXLamWgJbu//q57z15jbSul/e2wh/R/8OKecAzl2RDu7Jh1 sKCsNwhpu1hY1MJi2JKIp42XUC1UjsT62Ci5izOTBtpi+WDTYvHrwX5bkNdLIr+yhKWCTMMP RYmnfwJU9PUyz0rrHuuVusWzfokno5T3OgtsX0YqMKB9s5JbqyFM53GJOz1LfIHye4BEbVVe 2+N599AbpHuWVDme50C+4qGUV0KJ18Rwqc6uMiaysAP2heE5wwGr7uNsxawZcBdlXGh7RhZ1 oCeBdX1aEs2LkYqU5Wt8ZUo4X8Yw78kCUhRN85rT35SyB3krgyxQRmqq0DXEcJcgX6ApvgDP IZ9dZC0EyMEct6Ns1Jeh3uaACNkourOLF0JJFQstyW/MtSKqGETAJ+otxJoUG3+vZkUW8tvt 53D1Ti8g/tBta8tEIX6upBcKYuxAX5ZIGBzpZkaqdAmUccosPshZbGTaVbSU1/p9b0mEyIWJ lW1YAlXEcMtXg0YJ5GJEj+BliTorktpqaqlnUJYLuIyijHFdWetIijOZr4Ukz1/yB6iZWqbx OjffIRgIjyJr/6lWYtmmNg1Sw3WZaRpEpyJNgkyg99uCYxKe5GBxnOZVjwtt4izFHPkA+xaV udl3LQV5/7eHUGx6JAtUYRu2q3re60uFKFWu+UWON0uQ/CcyW5ohKVy9OCChW4wJjDWfb/OV UMjAUJZEjaFOExXgsp6tJgFR5qxfMb5dmQtZYMRr1IUT2SwoJFMLX4WLjl78/P1+3AvhI9n9 NtI9da/I8kJWuAmiGD+FB1QlwyCzkrLVOrcbaz7PwmWEG1uqh4I4mIUHBWMBEwF+3RkK1Alk OEKXTH2vmTzFj+39yrqmg55Vp0JyqGIzj0xL6wcW1xKn8Mtx/wtzx2ierTPOFhGENq9T814H 3ODczom8kEKOmTd5bXovW0Guvlupo7qXV/EihbAj2Ed9kbtgtvWnxGW+tmA5mmGGgCy6lzuA pp+KX0rLNCT1jrqlt21ZaF7CjpQJuRBypAaQbDPqi/KgtiFTWtbACuwqiISk1upYjbVvErTE sRkaVJJJ/0+Jqtwm/acaOnlBDsrYMcNVK+AKDO4D0uEjbFwaVOh8WiQs+1mhvmLWuiva6xRB 1D0BGuJ0pPtytkTD9bkZ/2gNPgtxYgGyf0z1VKff7DcoM9ZtBJJqGw464qg/OmKncb0hd9BQ j+od96lVlX5xwZq/oTdFM5RJtLmmyIeeeb1PdVrlj1DnZzWtbXuDmpCdt7NZVxUwcFmlp06V BKOZi0bx7FbF6K9evdISQD2jX8uzlungx+k8+P58fP31yf0sN6hyOR801pcPSMeCacuDT1ep RnNtUB0N8l3aX6E3ErK2BaikrhKHuyA0CpEHpvMNypCq8/HpyeDBqqcFR1sap2o6uUsijGG5 4IOrvOqPboOHMcf2DaPMKhLS5TxiFfEO5DjQwIOiJt/PAiGYWocKeEl7CRPf08SNQnLcHN8u u+/Ph/fBRfXydd5kh8uP4zNkUtzLo+jBJxiMy+78dLh87u0OXbeXTCi5VF5zswek/+zflysg WfrfF8uiCk8RyIIggjgG8pxG7/NY/J3Fc5Zhomck+NdWsCK49syDstYkHwn1xE6g6rXLUkm0 ZMFDP5qRWYpOrtLA4GsHPtN0GUjvO8aFDYlHdnYRGx55N+B46k0nI9y00haYTYirn6qA7xCH OQ3s3YQj371ZYOPjTp/q6RF1R6/7OOIeh8TLqTe++fzo9qeNqLskCob0b8j8Kysxe3QXAyBA 4NDx1J02SFcTYFIMRN8TQtSGnge8XMICmteLwekNvEx6mevB1QKfc6zeCCZZJAw7+Kx143UN md3ihUkowHluGWUqk50GhOAuiwHMjFkBJLGhBDnHj7rqJuMZcuqilRAsY2PXWggFHu9GQNPF GM2MBseRqA/vPN8s64jjcYTKSu8p9Rt2e2NnaMhUDuYGnoM/JWGWa4rEWVHjbLl9c4qkHkuP +/Pp/fTjMlj9fjuc/1gPnj4OQkdC9PiVUDxLNOxOxZaxGZpSSM9RiFn2yooLcazzfY9Fk94v u6fj65OtjrP9/iBUtNPLwXTHY2JmumNPP91rSMPOO5IpJ3rwIzs+HS9CPBKbnKjcrmkydoxr foqyjRdwqbVgpej1CD+ENkpSt3tFoQkaQV0AU3esf8DECNkrfntT+2vaT/l+/OPxeD6okDf4 d0GCF6N6SbDzMrdky9OlcfR82+3F6173B7Ib9e+0Yq2YECbYQ99Ih1/FqOQHiX/Ua/jv18vP w/vR+KjZ1De6SPzuUi4KaeZfp/Mv2VW//304//cgfnk7PMrmB2gXCZ2h8zpke5mACFLpPv0e yAkHEzIOzI+MJlMzBYDyxD28n55BVv8/dJPH0fQDALiemZJH+RGgEWwEtFl25iyhAOx+fbzB O0VDDoP3t8Nh/9Pg9Wp9bnvnSs3sejyfjo/XvgmXmcGMl3y7KJYMvABxxpnFQgDiBXGkBT4r C/zJ+zgJXPBQI6/H5xx/cllGD5R1rYiH5hm78hndvf86XDTv5K78Jk4gLzh4Hi4whXkzHWv3 HdROq83DAEL+pebCkrS4jBL8oA7wVahtmgySO0ufzXvdKg7HktuEFerW+nXDV+l+5nFOCASA i4q2jNAeugL4OX5Tfz61oulIejmvUP+x+ktc8RppbYvISLxEZMk0Bo+HxV2cEEFNi3Bb5MFd VMGVeOT1VeBCUBWj91aF1A0Sg9KOikk0hy/lcfMd+PxiGeNw9oIUum5/BUuundEuRLhwiREh u7x0N7uS4zBiBQuRDuV1CbuOD83GduMmOPMqZLpbaxs9MEvye0OPiaLixpfIKWhPb6Blc+L9 qkLskZsrQnSBMXowPedpbpxxqG8ApFrVWRiV8zwhQhny2G7edfwi9pVoOxwPVazsjZEK3Zvz lVAn9QY1pO28QmavVWbFzDzzLR1viXxjkBZIXC/xt+CZ3nZNWgdUOXlYv6Z0dVVmja/m5kX9 +VOkgR0xeZ4KoU5bZM3RYq8P001qjrCqMWd3VWkYN9sKvuqRxaXbxnaZ1pt+h5TEJtGYDeGc UFCyKEDDk66lAaJfK3xqXBBX4NQSBPdRfzuvq4oQzZuaxA5ZkXWlyQZ1iTPOz+QBuqhOzM6s ilmFOT5Cg1mlu2sEq1LI4V3tVmZTwHJ+i9N1ZQpIX4Oril2Zap7iH9gGH6TC5LQ4JQS0eFJg il6LiqGozPShAMAldDgSu+2/nIqNjWU5Pg5tdckdXIkWWthdrc3qFQRzFhgEJxUSkLYw1AEC YK2kFpxeXoTIHjyf9r/UZQCQWXVR5PoMXEyZDYmcL1oxHo98In2MWYo4ENEKBWEQTRzcqV8v xuWlgoCYMtpLVVAKvC+1ROrYszfSuuul7gmvhHsxlzL7eFB1tOx8fvo4Y4FCRaW8lCajkZ7b NrmL1hVCnSdhR71OJsHM5jl2QhCLltf2HfMlaB3H/UCCg2L3dJAW2/YCrXGQLp+X1kTC3Njw bVlVX095OV0OcDWx/91lBH4J4AzfNqt8e3l/wg4LyyLlrUkB543gRQhbfa8FPA8Gn/jv98vh ZZCLdfDz+PYZ1JX98YfogNBS/1+EzivI/BTYloH5+bR73J9eMCzbFH8uzofD+34nOvHr6Rx/ xYod/yfdYPSvH7tnUbNdtfZxdnxMiW6Oz8fXv6iHmnDw6wA7YS3SNu9Bpwurn0Yw5E4CVxkS ZE4H6Xq+zYUclLLMcIPQixVRCRyNZQG2ZxglwUuNC35GVdXF+yKUCq0qxnm87s+A9tPCfidd ++GG0BJtYCcneHial5i5MtaNcJAmc14vFkbAk462DQyzqwbAoToS40wreAfaIxQ3K26OL2AL al9r1K/+u8BkYu1xs862JRwGtyvimRXz+0ZXxRmFKtE827cJ2LY3zYahrG/4ltOiWHisecpc K1l7yvBkoUKScEeOrb3pVDMWr4FYRq6QeUR8ppBRkatCITKGDp7yTGJoaEjNkUq1xA97o90I KwpXp0foW+42PMQ68W4TfLlzHdfccQLf84kohSmbDEcjOkRhg5MGGIGPidMTgU3JsKgp+CAQ MVUlRsR5lZeFiUi4m2DsocHjeMB8x7RV8Opu6rtElkSBzZlpWvt/mY0F713KSORJZaiDYLYd 4wIUQGgiRQloPh+QhXxiG6UnaFpDAGau8ejEDEkMduYp7s4goJmHDwJAM/ywL5D2OnfLiBt8 q3g6JLLZrzYTYrmpTGp2nQ2ofGLsKMOQrnE4wauTGCE5S4yKB8o2ruPRmEsd9CkQuwsCiD+2 xMPNbEx0BKSf9YjIJoANiaS7kLjhm6t6CWlFxmrIGKq3QsnX22WBPwGxhsPAmbpGp7dUImhb Cw+5Q+S8UyVczyWOcxvcmXIXdQZqn59yyyOpAcYuH3v4+pMlenkDLXgyI04xBFwlwXA0dCme sYAYBYNIC1LAXt6ehWBrsY6pP+4OPYKfhxfpbNqEqTD22SoR41OsbjnjztNoTOxtQcCn1Gpj X8lg2Otv0xmquWh7l5403JJLzBLtZ66Oj80XyuM+pQWbN3qabVMJN2YGSgu+CkRKpeBFW3dX rynk8KJ5fFVjvsGyTHXN2KiLFRZm5AWwsKYzGjX/4/Wi6RTtodYFwq3IyYLvKiNHDz0E8WzN y3BAIU4TR0aCRvg9HFu/Z1ZVo5mHzyqJ+ZiYC4gztOoZe8OSFB+A3Y4JdgHPTsc3zk5H41nv bPIKTsyouJKCcxWAxvjWa0Z7gt/Wfuo71n46nRKib8iHQyqK9djzfYyfib1g5OqRWIJiOPFG JmHm2awuZILLerbrpVViNJr0mRWsv8ePl5ffVvgboTH/78fhdf+7O3n9N/gRhiH/s0iStpSy nUiDxe5yOv8ZHt8v5+P3jyaESddHM+UDK58pfu7eD38k4sHD4yA5nd4Gn0SNnwc/uje+a280 NY2FECX6Qlq7nJ5+n0/v+9PbYfCOsE+piDjEcgHM1T2aW5Ild0llhpB+Wbgp+RA9n52nS1cP l6p+2yqLpBk8RWN1y4cyt/SHtKh9h4wT3vAj9RycZvZYlYTAlnwDFs3pwdXSV263ipkfds+X n9qO1VLPl0G5uxwG6en1eLFHYxENh8StdYURC4dtfOeG1AWg15sgq4+X4+Px8hudF6nnEyJA uKqIHXMFMgkhlhn3atI4pNw6VxWnMgGvqprKERxPKGUIIK+/OGKxNi/gDvxy2L1/nFXArQ8x Ij0HmqHTm/9DWz2Pm2lLSB9xM4NxDTbdjClxfw2TeYxMZrQM9YZm4iY8HYecklrgy0xHO516 Ncood+Tj08+LNm3a3oGzOJZwkzl8EQNPGRBYIhi+gzu/siLkM5+Y1BKcESxnvnInhIAKEMrs gtT33KkRaBNIxJ4sIPyihgDG45FRjS7xNffvS9TsvSw8VojJyhxHM451EhdPvJnjIsm6FaJH HJMUV98gdZtLwlE6tEpv9xfOhAZCxJ0uSmf0Nwm7yRgOSVWqKx1X8WctGNQwwG31gn8Nh5Rr aV5UYorgDSlE+z2HhHnsukQWHYCGBD+p7nyfSFkgFlm9jrmHmV6qgPtD1xAKJWmCyTtdRnEx jqOxdpYiCeZ9DCBN0FoEMhyZiVJqPnKnaNrudZAlQ8s2tI7SZOwQeWPWydgllKpvYlQ8y/Sp nCh3T6+Hi7KWIuzjbjqbaHOW3TmzmRmsvTFgpmyZ3eC31zJEGhm29F3Ti0xbB/BgVOVpBHdX fSI/WRr4I2+If37Db2UDpJBwY4Qha/1UT0NkAaYwZINKKvqvLlj32/PhL02hil/3z8fXXndj Hx1nQRJn6Ef3Cyt7+bbMqza3tKy1vaAy+ANcVV8fhQr3erD1TDh5K8u6qDCbut6BcFXA1mJb kfbtdBH79RE1u4+8Cc6zQi7mK2FNFfrFcErYmiRGWLuE2uG4RFocgblEwHzARgRWFQkqrdnf Lrr4Yt5OTIuZa/FJpVpArFAZmBuR8+aFM3ZS/NbFPC2oMwF9U5uzkrqV3W0tkXlhc1VQI1Ek rnvDDK9gYlkXiVjWZnpEPiJtiALysWQPzfJt24xQUeuHQqxDlWpEifOrwnPG+Ed+K5iQO8a9 cZRS1ys43PZZJ/dnMkVnM+Cnv44vINlD2NrH47tyT0aGXwoKVE63JA7BxSuuou2aEAMW4JxM JJ3i5YJQV/hmRoU0g4emvS//W9fhbvWDf/BVCasOL2+ggxOTH+Jbpyr5ex7kNRXWSZvIVZTi 7hxpspk5Y5dQzySIWjaqtHBM13pJwdlNJZgiMVYSQjf2rDLOasXPbUzlPRaYCuhaETfnoUQR Z8siz3CWAQWqPMe9U+XTUbmgn4Rbc0SKhnUawXX8dmjFz8H8fHx8OmCH5FA4YDM32AyJ+PWi QCXEPCpIvoAX7K5/MC9fe9qdH/s34tdpDI8J9WKkN1KFoKUaaV8HbUVX/Uqw+KG2Q+NgQhCD Eh8lhUnmjNfdS36oaDq/aylmwuIrtXEAs5sk70tP+9kP4vKrjDjdj5DFynS7jAMZYDgr/+F2 bLVgwd1/GjuW5bhx3H2/wjWnPezMpNuO4xxyYFNSt9J6mZTcbV9UGY8ncc3kUbZTO/v3C4Ci xAfYmUPKaQASKRLEgwSBacatPmqFwgKAsgzuN2NSFYFxmK3sE8kQQTrnvVPhgxmYovazGtaS eCBVBxjxYJ/clKn0i4A/KJSeOUYM8RFYSMQUGzZifHd7pr//9kyBQMuATXe5RkA7QyPrcY8V BAe9WU+oZWJ2t2N3FOP6qqnHnS4TXONS4WuSVBILSiXTclB4jGQr+9TS2V+AH1F5WwAF0Ytm JB6e/vj69Jm02GezbxYzknKLXzlxz+/m20H2/sZi/TSZakvexM8E56M3sGjreY/vcPby9OGe NHIchab7RJgqxZ71fJIKvEDCrdkaPF0/uL1MJK/VVVkHNz7M1vUj3nkhXnIDpaSQu3w8tCqb LggvY5gf+/XoS50JNB5F3/OnIkBxPqYu+R77i5EN4Xm/ybzNe/wdXweel3IJCx56UXjVziYg fI7cM3AM2sOrzi2Ds1/Eo7pWl0cYnYpH61wOylyptr0P+vaef8l7/+Hl4wud/HZ6Bt0uzJvi NIHZeddeoxYytms/WmtG4Hv4iTIk1AeQy3pftby2d+nYed308zwtXkUfjivvfFgymlBaNVuV 2jWeidXQYFUuoKN6MvznGerUEBus0DDBPdtvlRfjDYjggouia8pqnollVa/pSX7F64So4Zkm P6J9FK5KAzPpfEBScFOBd5hHxJduOjOMiMREI7ch3u1f3kh12yVyBhZ6zoy/yE4D4pwrgyG7 x2tFJB+5HtreSXVGP/HKMiboMNsJeMXA03cKwBPhQaimbLh5NvggO7kB9ir3Xnhd1P14w1ve BsfZ9vQuSVc+Fo0z9G2hQykYoPm1VAyYldJZ4XLQTmBBCyxZiduA8xYopiw0ubwzNl0eRymq g6C8/1VwGcohLkHP8prIITrCvNPH/YiwzmHI2u42Ul/yw/0nr5CDJs21fP8EMFItBu9AYrZb JfwE3BMyJQosvt28x+Go4B3eAQEicd3E2lZmP4PJ92t2k5HiXfSu43q3by8vX6U4YciKAGV2 gVr9ayH6X5s+eO+8jnqPR2oNT3iQm5AEf9vMKJhgo8Oyxxfnbzh82aKxCpb0u58en79eXb1+ +/PqJ3cVL6RDX3CRXk0fKQQCpaaAkOowb208P3z//evZH9y3k4Z3v4wAez/+hmBYON5flwTG L8fEnGXfsk4Z0shdWWXKraG3z1XjtmpdNWuJ1p3/uQT4gfIzNJGVNWF3wxbE38ZtZQLRJziz n1PhcJWbzMaWbelPYKMAH98IFcxMXWqT/AK+qc9rnlNBFIP5uE/RWSr31Al+WD7xGMlBW04c gRP9B2fMm3MvzbOPe8Mf33hEV2xUQkCyTrTu1XwPMOl+BRlWeJLVicfZNHk+yXmqX5cXJ178 T8YrEbMbEHHx2B7JWz9+xMf9eE7e+jnwfNwFH43ud/ENl7sESUAoIy+OV8kGVusfdxBooikU WpbcprXbavSQRaQm3eLPUw/y+5EuBXdW6eIvfWay4IjDLSI1+fM3nvMvXF0k4MEq27fl1ajC 1gk6JD+2xvRFbc3eiLd4mVe9W6FkgYOJOaiWwagWHDE3D+uMucXaBP5lWYvbirxK7MDMJGB+ 8mVKLEUJveXzdc0UzeDWjPJGge1zP6h9qXc+ApW4Z9hXdWSS6If770942LBkT5o1462/Z5kr DSYUDCiiwEjfJvyz6Vl+E8E4I3mWJgHEmO2wvpHJdM5TWdcbky1p2iDsVSn5nXFLywy4RXmG B0oByuOAfFzZU9LFTgJ3Db0g3Q4qcfGInHxJfhLWzjKls5jmrbm1fI1wmDjEvvtpVrLHVhl/ 0c3RQdmufIPJwMCSkN1tCD22KgR11yFEiTK7hOGVrVOckuawtVadfPrft5evpsr016epQqFz 25SIwRvZeoWWPfA6huciY4Ex6abay7LbuffHQkz80E64q8UBxqTKdbkXGEs4G0ZR15M9Eane 77supt53XfwGzKrBdEd713YmaLZj+HDC5TKLBwVEjtgy3ZvgcbvT7gBLjVkpaWXR/k5EtS1W 66t6qCJEM1Q8MG4ezdnrIR/yCEN/Yq6qE3DweHd5IyO4LuuYeFsNtkQeptKZt62/v3zCA//7 D1gkOP9yj2sFM1r99/Hl05l4fv56/0io7MPLh2jNSFkzM7iV/Na0fWgHjq1Yv+ra6nZ1ngis nBfUttQw5P+Ehvd1XKL168S1+mmcWzXoy0TYjUuzWvNBftPw59dlJIuAdXeibAhhbk9TFPfn r7+72w52hDaSGVbJ1kSwyD5mackwcO6ekUywSh2Y5jroRbq9Y6+ZZ0A1HpR/NmOOMrAibeJb axFz8K4W3AgcT3bpxjxkw1kenl/ixpQ8X7NjSwhzeHKSd5HuxCwgGkau4kQEIPvVq8zN0mgX zCTsoylgVkjAjtkF81ydnXqkBE7EHERlPO6qzoLagw4iEQ67UATLK8Kfuwmg7WLZiRUHhHdx 4NerNdM7QPBhMBZfn0T3W7V6m4jEnUR293oVx0zJx2+f/LwVVtZwawOgI1tlxcG/vrpMPNmU MXMGVM2wKeMFL5S8iIBgmR2KkjEwLILJu265WGCalpI7RpwpdB/dH3Nwr1loPN0ZO4wF/U23 vt+JO5FxTCIqLdYnedhqplOyPY9VK5gTnakFycJHrfN1Ymp1ncgHM6G7XPKummXd/MRE9IeW neQJnpoji369WAlyKQnu5cmxE1VUfC4kq2DuWubbry5OSNLqLuZagO044X2n+7jIgvrw5fev n8+a759/e3iyt6W8G1LzutHlKDvOiM7UZmszxTKYhJYyuFSdCJdIsvuvDkXU7vsS67vlGGbi +kuOYTtyToxF8F7FjNWLpR/2d6ZRidCskA5dofTHYT/scXn4it2BeQ6cvRrLjYLTiv43Vl/x PEGL7IZNNdHoYeOTHV+/ejvKHJ3jUgLDYmpZzxXo9lK/gQnXGj3sGbvsMBAePQNsgHesy22T Y/Erc+JJB7nYWMlkhZd4SegPMr2fqcTA8+PHLyac8P7Tw/2fj18+Ltxq9r7HHisfmd0J5R21 xniN7vjSMYPPj70S7iCkNiTaJhPqNmyPpzav3lSU3Uv3HPFEuikbfCsdoRbv5vs+Ua31idw4 967Tvyl7lWP+Z2dezTaMWx3QBjHpXjWyux0L1daB2+eSVHmTwDY5HjWV7umCRRVlk2GRd/je jbsXNgdQyRJTQIkuRgXguYxSgZqTcsx1Ven7qBJ8rbL3dIxcXfoUsXUJTfXD6D91HlhQaLHq vCr6PJG/byKBZZVvblOemEPC7X5PBEIdgiqYBgEDyD90GZi3MvFy5xCnKjecmS+548Lj0ReI YsjK3imEOTNYk7W1M04L6g6vr4Egq7wzMIJOatHp2R3dqw9CvxGKtQdi+AVLDTqQh7NvQd3I kBOYoz/eIdgdOgPBPQN26ic0heWxmQEnglK4d7wnoPBDPBdovxtqPv5vosE8xyda28j3UWP+ xC0fP27vyo5FVHe1YBHHuwR9Gy92TBkvp2o7E6oHKaxzXPYcbNzXHQvf1Cy40A58MwWXzJyb lUcKODFypVVZ7m2q6laWID5vchh1Jdx6kSCPQE7ldQjCYKDRk18Iz9yRasBKHjUlacJymn4d WszUaMcGCWS7I4vGGdF6LgzfurlP9bYyo+nIM4reQqUr+sHdV86uXXVQtV6MGv5mZZ7tf+WH 68nqDvfbPYECI5k4Z8ky9taRukZ/3ulV3ZXejdiWCn9uQYG6BWwHqdeopDxlX7ToVoS1UQh6 9berFgiEkTEaa8j27lhCb1qnN7MS0jiqwq2rq0E8mwl3zg+wQ+wYkkrfPzx9efjr7NMHa8UQ 9NvT45eXP821kc8Pzx/jMx0yDPZUVsgZ/rbRLYWPbSvQ/dW8h/0mSXE9lHn/7mIe6smki95w 4RwLtW1v28/yoObGMrm3jcBiNXxBPfSTHv96+Pnl8fNkwz3T194b+FP8wSa60Q8cXWAYKzXI PMgqOGM1mAm8znaIsoNQBe9lbrMNVt0pu0QkY97QVng9oEO/y9kyf4USdU5xcO9Wr9YXPot0 IGHwdkEitkOBj0AtABUfptSAWZbhCzZtlUgzj/PaHprE8ZWJHXXEDzSJKftsHG8wYmD4oi2J oSm16CV3FBGS0LePbVM5i9YMStdS/GDcStEqCWOWiz2lDpRszT+qI4y2tVukxQHOp29mlt69 +nvFUZnLCyFzYVQRJfX711Ka8Sx7+O37x49mvfrjC8oGqyoncj6aVyIhSef0NMGAYMb2hBux vAZjYJOzqdpMYBBloM0RZQLpdDzgE+KUzPcJC0+L+jiqeXaiETzf+WEDSg7Ei+nXAGcAY2CV cmSiH75wWqtWsM28QPp2mnTQ5hUwXdymxSRb0T1elxm0if8Knr7hEjXP+mSiKVU/iIp52CBO cIRJKQrCjHUSnO+jTmK0Z2HiSeMviJFSGqUnGtne4A0xTCcuo4d3plSSOVvAZXKGuXS+fzPi fffhy8cgP23R4+H30MELepifVB1fobJ/QmeQ4w7zsfdC81uCh2sQRSCQskQ4fYcJ1kFQjS0f wu3hxxtRDSBUfCSyfjv0C1iDHM3mKOfl+xEcXQDwnjEclYMPnRDF2NY+z7tAXJgdAzw7m8XV 2b+fvz1+wfO05/+cff7+8vD3A/zn4eX+l19+cQsvtrYQLpVhicynTgF7xDHs9Bh+S8gUaAYP YIe7ZUgmdpnSXofwBPnhYDDgQLeHTrjWsiGgLgSWL8KyvIvHbUIkl7Kttlflecc1hGNDm4GT rNTBUACPoqltBfDCfvNXpIWsWV+wlsAz3rqWPTIDIb03omKFz8YKxOBRANMYR/yErNgbcfhj ihFrYAjNJ2NGOvh3gze8dKQHwjjtSW+VhDjRsj6l9uh+Qgl6JdkhCbZgjlUHqvmWKigRT2l7 jAxIx11MTBqqIbwzOyZ3f5DCfZrpH5GEk4fA/JqJvA4+HKSWMYdUZAgFlOb6CZgimCGCddum MRxzpSjpxHtjqrndMvUreVK27Sky3b6LpcFtnkbe8qVbaEd8YfBY7mApc0I5HidptWJojKl5 GrtVotvxNNZbKez0pJHjoex36H/qsB2DrskQoUArlQUkGPCO65QoyeqNXoJHFrcBUE5vM692 mJUalL4EJX8zzBlOKcqJ3hPZ8Af3R6bb5tHQOK8iqXoAQnc/owPjr+569NjZL4ras9sZYUMT IeOpB/MRz/SitZfO0NcmKg6oa7A5iul5fpee1O4Jgt0B+PgUwcQJ02zzHTGPj7oRHRb/TeqA DYhymBoQVQWm5fesBw+Xw/po2DorE1o0DWaKwdTu9Jx/ajxTAXtaPB8Vaho9NYBksZwg2FRo X9yMlB9VsIn+B+jPJp9m0jM9GGhq9Z5YuMtcWY6aBoC9kc6v7Gi+ewHiv0tJf6xnGUl/vA81 145OMQGtq3EDonNXC8WvdQ+9KBeHINU9nyVhcEWF25ZRtdVgrZpJsBXtHY1aZvnY7mS5On97 QVuU6JB4dgDA0HBKXiyGUS5ro0VNHUD3YLnaZ723v6vNjTDwJfyLooTRQRaLhQcXPQNmWFJj 0zZxZA3QdgWO04xl2zAW5OXFKUvPDc4Nm6Ev2OXHbEikOzGfaLYYTchiQtjQSSwQ9onb6kRg DhvTeLO7eRIPpkKiKjtRDEPilj9hrdPJMR3iFZ5BUTh3PEipKALClhmf2pBOJqHXy9pJv6Mo VY0VD0/MA91mS3V+oK1SZ4Mqr8Pppl2KZqRdGxAxmJ0rZUhpgcVUOIFBBoM5Hdlm3k48/j61 /zBswLk3t7bLO1IE7tOEPb19gTkZxlIbU8EN//G9mVjLY8XKyYeg3WW3YFUuVDWdg3uSzYWP 2WabqAbuUuUFn5jTIxr0ZjxmbPgkFdbscTEGsfkLwuthUY7dFozw1Oqd7Hp+RWbtAIxORvWJ h/H6YTVobvuVGGHWOfGgY3lrZEkKERlfHa9eLbsVIQ4mc8XjJrZe81i0SN6dO3LTYrE57uxn wft7+TNiSJ84zDQJO2i5POt0cfmuyXeiww2hRFB9rhNJddXCMq1xxZQNGGiBiWbeSkb9Kae2 Lk/pCOSvaUO8czShqdOHSia8Pj80B7wPrtL76zMFlgP35Mj/AS6XxhM8wQEA --peRj85VDUce1fu/0--