Received: by 2002:ac0:a5b6:0:0:0:0:0 with SMTP id m51-v6csp377352imm; Thu, 7 Jun 2018 21:04:41 -0700 (PDT) X-Google-Smtp-Source: ADUXVKJX9UKdkWbAGpGj13B0YDtak5ufXWgTkmGnUZv/Zw3Ufi1wdVmZxPGJbR4fcQZrgdeApayy X-Received: by 2002:a63:a809:: with SMTP id o9-v6mr3861954pgf.313.1528430681276; Thu, 07 Jun 2018 21:04:41 -0700 (PDT) ARC-Seal: i=1; a=rsa-sha256; t=1528430681; cv=none; d=google.com; s=arc-20160816; b=NVvTpviwp1XonW/zpVmlxoWZn5mWPx24VjlvGlix/kmc/JwwLd72yjk0eI7aWNO26t LQu/3VUZYpG9No3Hl4HFKnDTeNk5DCK722nKu4d4TWmfBO/FBsJHa2Yq/iIlH4iY5IzW GHYuK24EHeljpJ4syPi/R4QB9Ox6nKYU9AHhRvnAi279QyZI7vkfQc9b9Ad1LExkGCo0 mBbzUutjq83UWaIPP2QTIZ38WZXENr16udZEr2kOKR4ue2GUUW2DOLd5I2FQmHbbUwtJ Ce4GMf8u1Xi1GD53ilEq+jlnUWCksdJn7EwMZLbD+fK3nt3E8Xq2vvCd10Gxxwr5T45p ZoaA== ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=arc-20160816; h=list-id:precedence:sender:user-agent:in-reply-to :content-disposition:mime-version:references:message-id:subject:cc :to:from:date:arc-authentication-results; bh=vHjaGzxU6/hPRSlNrmz6VhIwYDQXJDuI4zQ9Nl7bi0o=; b=tdl0kDowUhtkkGAjgxfDbLcnWSqlvNTMNfwlbl0C87UtRPjTVJ64Jhuagx3BbvDQBm ywo8zFZy9Wi8MOuUqoz3k+HdJfdEalSWMlBQoSm5/ds/se6oEwTDbJqUEjml7iAMn2G1 G/brCaCMA4BaYVusMPDl3l3ORTz4f3dkXLAljOIBjCKJ5YxXZC/zL2Lg0zBlwVWgVa0x JOeMI11ms23uGyVLKG0GWqNgG/etOCifH6YMzBcQRLjU3npuueDOZVPobQF27JdCsbAI kVbGvR5J0O2dBG4jW3/v9llWG8CRBcIDFXIbjnHOW+tFrs0q9JT8Cf4Ohg4xPPACKQvZ SrOA== ARC-Authentication-Results: i=1; mx.google.com; spf=pass (google.com: best guess record for domain of linux-kernel-owner@vger.kernel.org designates 209.132.180.67 as permitted sender) smtp.mailfrom=linux-kernel-owner@vger.kernel.org; dmarc=fail (p=NONE sp=NONE dis=NONE) header.from=intel.com Return-Path: Received: from vger.kernel.org (vger.kernel.org. [209.132.180.67]) by mx.google.com with ESMTP id p25-v6si29955338pfi.345.2018.06.07.21.04.24; Thu, 07 Jun 2018 21:04:41 -0700 (PDT) Received-SPF: pass (google.com: best guess record for domain of linux-kernel-owner@vger.kernel.org designates 209.132.180.67 as permitted sender) client-ip=209.132.180.67; Authentication-Results: mx.google.com; spf=pass (google.com: best guess record for domain of linux-kernel-owner@vger.kernel.org designates 209.132.180.67 as permitted sender) smtp.mailfrom=linux-kernel-owner@vger.kernel.org; dmarc=fail (p=NONE sp=NONE dis=NONE) header.from=intel.com Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1750960AbeFHED6 (ORCPT + 99 others); Fri, 8 Jun 2018 00:03:58 -0400 Received: from mga06.intel.com ([134.134.136.31]:40549 "EHLO mga06.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1750898AbeFHEDz (ORCPT ); Fri, 8 Jun 2018 00:03:55 -0400 X-Amp-Result: UNSCANNABLE X-Amp-File-Uploaded: False Received: from orsmga007.jf.intel.com ([10.7.209.58]) by orsmga104.jf.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 07 Jun 2018 21:03:55 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.49,489,1520924400"; d="gz'50?scan'50,208,50";a="47375865" Received: from bee.sh.intel.com (HELO bee) ([10.239.97.14]) by orsmga007.jf.intel.com with ESMTP; 07 Jun 2018 21:03:53 -0700 Received: from kbuild by bee with local (Exim 4.84_2) (envelope-from ) id 1fR8cv-000Wow-GS; Fri, 08 Jun 2018 12:03:49 +0800 Date: Fri, 8 Jun 2018 12:03:15 +0800 From: kbuild test robot To: Matthew Wilcox Cc: kbuild-all@01.org, Kees Cook , Matthew Wilcox , linux-mm@kvack.org, linux-kernel@vger.kernel.org, kernel-hardening@lists.openwall.com Subject: Re: [PATCH 6/6] Convert intel uncore to struct_size Message-ID: <201806081132.2dyVLjlt%fengguang.wu@intel.com> References: <20180607145720.22590-7-willy@infradead.org> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ReaqsoxgOBHFXBhH" Content-Disposition: inline In-Reply-To: <20180607145720.22590-7-willy@infradead.org> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: lkp@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --ReaqsoxgOBHFXBhH Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Matthew, I love your patch! Yet something to improve: [auto build test ERROR on linus/master] [also build test ERROR on v4.17 next-20180607] [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/Matthew-Wilcox/More-conversions-to-struct_size/20180608-112654 config: x86_64-randconfig-x015-201822 (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=x86_64 All errors (new ones prefixed by >>): arch/x86/events/intel/uncore.c: In function 'uncore_type_init': >> arch/x86/events/intel/uncore.c:838:24: error: implicit declaration of function 'struct_size'; did you mean 'bd_set_size'? [-Werror=implicit-function-declaration] attr_group = kzalloc(struct_size(attr_group, attrs, i + 1), ^~~~~~~~~~~ bd_set_size >> arch/x86/events/intel/uncore.c:838:48: error: 'attrs' undeclared (first use in this function); did you mean 'iattr'? attr_group = kzalloc(struct_size(attr_group, attrs, i + 1), ^~~~~ iattr arch/x86/events/intel/uncore.c:838:48: note: each undeclared identifier is reported only once for each function it appears in cc1: some warnings being treated as errors vim +838 arch/x86/events/intel/uncore.c 804 805 static int __init uncore_type_init(struct intel_uncore_type *type, bool setid) 806 { 807 struct intel_uncore_pmu *pmus; 808 size_t size; 809 int i, j; 810 811 pmus = kzalloc(sizeof(*pmus) * type->num_boxes, GFP_KERNEL); 812 if (!pmus) 813 return -ENOMEM; 814 815 size = max_packages * sizeof(struct intel_uncore_box *); 816 817 for (i = 0; i < type->num_boxes; i++) { 818 pmus[i].func_id = setid ? i : -1; 819 pmus[i].pmu_idx = i; 820 pmus[i].type = type; 821 pmus[i].boxes = kzalloc(size, GFP_KERNEL); 822 if (!pmus[i].boxes) 823 goto err; 824 } 825 826 type->pmus = pmus; 827 type->unconstrainted = (struct event_constraint) 828 __EVENT_CONSTRAINT(0, (1ULL << type->num_counters) - 1, 829 0, type->num_counters, 0, 0); 830 831 if (type->event_descs) { 832 struct { 833 struct attribute_group group; 834 struct attribute *attrs[]; 835 } *attr_group; 836 for (i = 0; type->event_descs[i].attr.attr.name; i++); 837 > 838 attr_group = kzalloc(struct_size(attr_group, attrs, i + 1), 839 GFP_KERNEL); 840 if (!attr_group) 841 goto err; 842 843 attr_group->group.name = "events"; 844 attr_group->group.attrs = attr_group->attrs; 845 846 for (j = 0; j < i; j++) 847 attr_group->attrs[j] = &type->event_descs[j].attr.attr; 848 849 type->events_group = &attr_group->group; 850 } 851 852 type->pmu_group = &uncore_pmu_attr_group; 853 854 return 0; 855 856 err: 857 for (i = 0; i < type->num_boxes; i++) 858 kfree(pmus[i].boxes); 859 kfree(pmus); 860 861 return -ENOMEM; 862 } 863 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --ReaqsoxgOBHFXBhH Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICO/7GVsAAy5jb25maWcAhDxdc9u2su/9FZr05ZyHtrbjujlzxg8gCUqoSAIBQMnKC8e1 ldZTx8615dP2399dgBQBcKlkpk2IXXwt9nsBff/d9wv2dnj+cnt4uLt9fPxn8fv+af9ye9jf Lz4/PO7/uyjkopF2wQthfwTk6uHp7e+f/v5w1V1dLi5/PP/lx7PFev/ytH9c5M9Pnx9+f4PO D89P333/XS6bUiwBLxP2+p/h88Z1jb7HD9EYq9vcCtl0Bc9lwfUIlK1Vre1KqWtmr9/tHz9f Xf4AK/nh6vLdgMN0voKepf+8fnf7cvcHrvanO7e4137l3f3+s2859qxkvi646kyrlNTBgo1l +dpqlvMprK7b8cPNXddMdbopOti06WrRXF98OIXAbq7fX9AIuawVs+NAM+NEaDDc+dWA13Be dEXNOkSFbVg+LtbBzNKBK94s7WqELXnDtcg7YRjCp4CsXZKNneYVs2LDOyVFY7k2U7TVlovl yqZkY7tuxbBj3pVFPkL11vC6u8lXS1YUHauWUgu7qqfj5qwSmYY9wvFXbJeMv2Kmy1XrFnhD wVi+4l0lGjhk8YkTGKWoYEOdWiotg9W7RRtuW9UpAOMcTHOWEHoA8TqDr1JoY7t81TbrGTzF lpxG8+sRGdcNc2KipDEiq9Ilm9YoDtwxA96yxnarFmZRNfDBCtZMYTjissph2iobUT5JoBTw xvuLoFsLOsJ1nqzFiY3ppLKiBvIWIOhAa9Es5zALjuyEZGAVSOaItmaGNbjgQm47WZZA+uuz v+8/w5+7s+MfetAWji7jAU+W4qbjTFc7+O5qHnCVWloGVAPR2PDKXF8O7fCX11Ay5G2hP3Zb qYNjylpRFbBZ3vEbP5KJFIddAZMgGUoJ/+ssM9gZlOb3i6VTwI+L1/3h7euoRjMt17zpYKGm VqHGBJrzZgNbBR0G1LWBPsk1nL5TEAI44N07GP24D9fWWW7s4uF18fR8wAkDZciqDcgvcBj2 I5rhuK1M5GANXMmrbvlJKBqSAeSCBlWfQk0TQm4+zfWYmb/6hPbluNdgVeFWU7hb2ykEXCFB q3CV0y7y9IiXxIBgvlhbgXhKYxtWw8H96+n5af/v4PjMlimip9mZjVCBtPQN+Hduq3CBoBeA +euPLW85uUTPOyAUUu86ZsEIrogZW8NB7YYDOy1AYLoDcvLoMHBFINoD04MELV7ffnv95/Ww /zIy/dESgYA54SWMFIDMSm5pSL4KWRFbClkzMKZRmxE1hQR6FrQfLHlHDw5uiAYiOg3FQCPQ WJobrjdeWdfg0cQzgTeTgz70+iBSiEYxbTgi0eM6FVkGWihHF8bIFgYE7W3zVSFT/RqiFMwy uvMGTGmBlrRiaIB2eUXQ3Sm3zXiMqTnG8UB5NpbwAQIg6jVW5DDRaTRwgDpW/NqSeLVE5V54 B8fxk334sn95pVjKinwNWpQDzwRDNbJbfUKtWMsm5GZoBJssZCFygqd9L1GE9HFt0RDg7iAT OIppEw7jlgr2/id7+/rn4gBrXtw+3S9eD7eH18Xt3d3z29Ph4en3ZPHOx8hz2TbWM8xxqo3Q NgEjkYiVIwO5E6QHykyB8pZzUAGAYUkNgUYLvcrplnTeLsyU9EpzXivbATicDD7BSgKZKbVh PPIwJYyQNuEquqgJB4SFVdV4oAHEe758mWeVCLnJmWxwo5uLQIGKdR9JTFocfcbmSuIIJagi Udrri7Nxz+AIrzvDSp7gnL+PVGMLjoV3FMATLTzvz3lHTQtee8Yq1uRTH8o5bhnKPwzTNuj7 g+vWlVVrZh0zWOP5xYdAGyy1bFUguc4hdZwSRmRgHfJg+qxa9z3D4/Wu3AgjDtkDui249jxj 4b57iKNJ4LcxoTsSkpegUVhTbEXhIpqRyWzYYX4NShQm7Nc36yK2/Sm8BMb8xPUplIJvRD5j az0GSG4qbMniuC6JxWWqnO/jyB92QpcCbAvINiVujmvQtZucI6j6Eh1zkGKwdjENRzJj7EWM i8cPBHDuqg7Oy32zGgb2tidwNnWROJLQkPiP0BK7jdAQeosOLpPvIPeQ58eQBA2xoy9mF5qc R2RO0DBCpL0v72QNItaAxRcNmPxAkDwS6LucK+cSuMxC4seq3Kg1LAeCaVxPIGGqHD+8zgyk EZxGAQ5ZIKAGwrYaFGQ3sdP+NMfm8JhxgT2E2Ga5AvmqIgJ5Z3Jq3yIdGCgTrxObWoTaN2LS hAIkr2UM3KOypRfZWh7E+e4TZDsgnpIROcSyYVUZcKbbTdjgHJGwwax8yDi6voL29lmxEbDU nqQUhWCgjGkt3NmNfLfi+dplUtB/AAeT4ro1DrmrAxYbWrrowI+tjmxDoiZirSmXIDe5YCTc 9zElMq4aejbgh8kwi+ByHUWonD1vw4hd6hiq/PzscvDd+nSi2r98fn75cvt0t1/w/+2fwCVi 4Bzl6BSBbxe4FdGIid1xQNhGt6mdn05QcFP73oN9i0YxVZv5ocijdWBnBnuJkg2t4fsknV7P DMMySqPA6PFiZDbbH5ahl3yIHsnRAAkNFfo9nQYploFqiaErpgvwrotIJrUsRQUOx1x0Jz1G wANDC8q6l6hwwF/bWkGMkXFKgt2IvCxFLvBsWhBPkFE0Tjm6pQk74gmjAweOLDivEB0nXCeA NdETIpJ36zQr5Fs1tyQALAHdwbdigqakdHrZNj6vzbUGGyKaX7n7TtAipTjGzG7ElZTrBIjp W/i2YtnKloi0DFAY45M+wCSEGNSrFeVusL9TBMNtnwYgF+YTWT4p1m1X4MHFbvXRJwXfYQe+ B4aOziK5HsmQmi9BbTWFT7r3R90xldIkryhCAN7R3Qlhqy0IHmdelSawWtwAT41g49aQIKEa hHbb6gbiOyCXCI1sqtaIM0RxQofe+WOWY/pwcOYmgxDzD0pM93Qp2jplcEfmUaBSukLc46ML lPDJIXu+80FKXivMtqfD98LXnzOGA+mR+H4+RzgDK2QbpaLHlRueo4rss+wJxhIcMFW1S9GE HB41HnXK2IyJC6d3K34jLOWUBrgGfD65mRkITCWqIPhPS7UjFXA4lCNRBQz1LUxUwR57Tv8B rjtxVFuOaxK3NAYCbzYzAcYEFbisrdhMwDLBhlVKUu9PUYm0sFcBwq4cdZCBS41BSMoloMf4 jXW6bh3FtQ48k9xIFT2Z2KD0aYMJNt6XQQiGnsXrVJs6NV6OsJwCbgYpmkaWtitgC6kWrWXR Yyieg2YJcgoAaiswKWjceFU6p43YLrI3mh2XybRskjZAJe66O4sfVbfG9UVlyQTBTUAakLjX WOkkxg3KlHODhCjEUD3YoaMTO+UftRvska1SqGe8PrUZ2V0sc2YtZWbctJu+ekrSFQRDgD7s 8/l6G8QcJ0Bpd3/QMzgaq9mtM1xBmO3bJuGPryCBKvvht9vX/f3iT+9Lf315/vzwGKUSEalf HDGpgw7OWxIhpjBSswKKL9Q7heCN3mSQHuN9dzmjKkecy+4XYh7QCDWGdiEvuPjGoLd/fT6O 1csSFXv1UuZyixW4WG0gwFmchsM0hsmNgAP42PIoe9gnODKzJBt9lSRpxxr5UgunE8awtgdi iZVKVA1w4HRpbRUpuCkMdrSN4XlduDq3Ky/odOZtRid7/cgYUZVmFsGAhyAVm3Kkun05POC1 kIX95+v+1ee9+6iCgf/pHGMIkzHzQu0Z3MYlG1EDFWkKaSgALwXV7M6z1yQxWeqPEIWKSRta HSGH0BQCfHP3x/7+7TGKQIX0ebNGyrDa1LcWoJCQ4iGpB1hefjxRAaR6DjCc60TXfoLrd/f7 23uQ/P0xrwabOrWyALzeZXFKM1l8Vn6M2Kf82OdYewTqIE1zHqQXGncPAMRVgWvQNqdy3sxK jB10vU0w0Dq6MmbhhnF1rHkUvaUQnC4eUhhdxkv8Cx3uuGAX4LpESbfVTCknRJ7NX57v9q+v zy+LA7C5q+V83t8e3l5ilh8uT9ChfE0dK96aKjmDCIT7BO64KATdXIDxysPDwNZaORmndaus ilKYFQnE2FfiwZBQ1Fpg0ApaUeDE4MXxpsD7LKfyd4jpx6qUoZUKorB6HOdUEh2YruzqTMxQ 78hIfUm7ZKJqdcT6nquBzax3UIdbTJR3voNj3wgDDu8yNgRAcoZKI8qc9G0nEkk3ZJluvamP 44+XBzb1aVV8nC5xhKnU7IA61JvG5AzQZyVRctwC6OpnJqVNkqD1+gO5qFqZnAagzNEXL2oU esq9GAq/qo3lwB0XZtz7C12+0nYVolTn8zBr8ni8PnBN7itiwXkTt9SiEXVbu/ikBGtV7a6v LkMEd2AQFtYmMrl9kRVDLF5xuvYDQxpUqigq46xDM4jHtDGHeIW1YRytuD0m4AZT4dIUo0YA awlCVNctHRSyCjB2U4xBeLZCRlfEHGK34pUKJ23cBTeDwcgSNS3EweCmkUBQIVNQb98mgNDX G+rMs+HwgLCRFUgG7IosWjicQLD7ToMzPtgw5fIDrpIV84TLhHS9Yg6ZVHaUttYcbKf1Fab+ sheKF4Z1lNvquC6uU/VNWGau+JLldKqix/L8ND9wzFhDI4ZXZgW2YwryGc2jKQyy91+enx4O zy9R+BHmy7wRaJu4fjDFAGNbnYLnyR3XEMNZEbkNWREXfn41uZzMjSrFTSryw02XjtdtlQaQ HwKvBZwUkOnIbTg2HWV41HBHECyQCk6OcKC5V28lI07dUEbKqSrViiJF/9lda6TcM3Rw1GoH 9CoK3dn08ra/Xo2p1nlwXxkC8c31TkWWCw8hAM0twN988oiMuNp6BA/KIIE7TTrYefTgIpL7 nIMHupw95eFWKEDV4ABg2qDleM8UnOmzs+k9U3rKAXhcb82allGQNCc0rI4bHuqagDA3EK7W nAJt4H+YskhpN2K4QljnF6Q6K5fcrqKqcTrWdHlJXBw1d84AT7sNVnsZBtieowTIli6IgXtK gKOVCp0bsvc//D3aJhY633MlLWZb59r7vUYiGSMMAZVsUod4gg8nIjcRxStwJZX1MScaqcto 2/6EBjRUUJbcfYYHFt9LcxGsqx+RSmOpE2qdkGnvKUpMgY2NaxPw5EACx1b+Il6hry/P/nMV y923PewYQt8qIzKuc4rCl5XsSnVxyS+6S78OdpJXnDXO/Qvawgsk8JGWkI5N0V1L1IGaM3P9 SxDXKSkrclOfspbS7p9MnVxvH+6dA6VVlNkZUN07jrF5kCl3i32ocgaWCUt/Lmc9TaoflbUP R11gFZ5V0ExdsHAB0mYoSowW17mgeCswWCTeUQKdv6qZjmIMtEUK5fcb7oq7CNFlEOFhgK5b NcP43o3C67bc5b1GF7y2OvK78RuLPsKKuWtbbnGMDnId7Xw+fS7c9OdABLttPXMPfUSBqONb GEf7ZX0ZuVvzHR0N8lKQ7X3JjYStPnXnZ2dzoIufz4hdA+D92Vm4Zz8KjXsNuOF9+BtOR4cO gmVBiglzzcwqqYaiphPoeAMTanwbch6bas3dbe3eNo4pj6E44vLHVDwwjOtKoTDuRTSs5+DU TYymSFHmq3V9hjZL1MnAu7LAgn1V2OmFHWcVK7EBtWkn73BQ2PEVFSqENAPW26I5q0njHA2e d/mf/9q/LMDlv/19/2X/dHD5L5YrsXj+irnfKAfWv0+iCB0+w6mn9xehbcgUT/Mpg8UCpOkV +LDVBcMQb12fB3d16/hiwfajDxmCayhTjzMPq0b4NZyzYzEzqSh49xOfwPU1JuyiwidvrgVO 1oJi9PO7uMYEzw9HRZQPdx6WZJ7Kj6Vy3dnEk3YrVWI6GqYkSuNnnhtR800HJ6+1KHj4xCwe CQS3N5xz47B02xmz4G/v0tbW2tj/cc0bmF3ODV2yaYcCvKs5fJe50RyOPLpcNFDEJ2nSCDMB xy8BYuBkMULVtGJOBmXLpQaOAjs7t3T03uswrvAbao2VID8G9ETZv/+aaAPX3Ul1q8BpLNLl pzCC8U7sIRd4ZW3GhLo1ysYyUHW0BXYogx/utc4cCQYsIdPUipeAjLaNvu/MXeaQijWESPIE muZFiwoJL/pswTHEcIH2Zxw6/Gv+jZQTDMUnxeihvb9fFI+IAHK+QtlyKsyBNhV4uxk4TMxc XRwOCv5NCrJ34tLkoinFYBdAshbly/7/3vZPd/8sXu9u40L0IHhxFtOJ4lJu8OkZJkftDDh9 4XEE9n7yaFQHwBDNYO/gwjdticlOSEwDRzKTrJ10wEKSu3H/zfXIpgAHvqEZjewBsP552en1 JLudoeZxazPwcCcUfFj/7GGNiw2543PKHYv7l4f/RSXW0fVVgw6OPfXclQNwqvlKUq/nTyKB W8ILsL0+ia5FQ1kYN+OlL5qAOzbs5fWP25f9feDukOP6qwDHzYv7x30sDbEZGVocBSvw30Ix i4A1b4J6iKdWP5abLXt7Hda2+Bco58X+cPfjv4OcbFj/RuVdCM3DO5rYVtf+I8F0DyYDw+nR sBZyfhY9xEHsvMkuziqsyYqZC9GAxdHXyVryQUEu/I2dOKERzVEbqhKIEDerSfHnbZkzY7al LmgjCHmg4u6ddU+XqKeQm9lRlaZ1toMxI0j3GKfsr3iOkVZv/vBQ07sX+e39HrPwANsv7p6f Di/Pj4/+ceTXr88vMK3HK/avD78/bYGDEXWRP8M/TIyC7X88vx6CYQJJPaLwp/uvzw9Ph4iz sJwzXMCNNjq0n7IxDk+V7rn6MdyAmV7/ejjc/UEvJz6/LRaowPW3nHoC0F8BC4TH//RFfCcM 09dNFq8f85Z0DR26FmJOeeBjgaMW4H/v794Ot7897t1vrixc4eTwuvhpwb+8Pd4myiQTTVlb vNE3rgw+4uJJj2RyLeIUfA+oxUw1FofBgJousbP3F2MBZGZrN+FvQqQ3bfo7fFjjaq8ufSxd xznu/sl62tMXUTfuVGT4NLHhR5Zo9oe/nl/+RANChJxgt9accrvaRtyENMJv0H2MVgeWfMFz U+qoDI7fzlzShgahps06vGYxl/hCHJ/KpZ0TPwgYQ2GsyGkHF4iDmSGK5T3dxrNV/gEZPsWm D1+NcberVJJXg1SnmjAB6b67YpWrZDJsxvT9DKd5BM00Dcd9CTWTSPNAiJqAYer2hlimx+hs 2zQ8ef3WAOfJteDz9BRqY2m9jdBS0vXzHjZOS0+Ax9Ix+lqOg3EzQzG/tDSlF0KP2w0bPZth xcZn3qOfKUkxTg+QcZ72RSlKmmyuhuZ48W2h5qXOYWi2/QYGQuHU8b46LVU4O/xzeeq24REn b7OweD/43QP8+t3d228Pd+/i0eviZyOopBTwzVUsBJurXpKw1FfOCAIg+denKOVdwWhzg7u/ OsU4Vyc554pgnXgNtVBXM4x19W0muvoGF11N2ShZ3wh3JOsf5E4MUbzoRFBDkBF2chjQ1l1p iiUcuME6pSsz2p3ik95+XycoiOpV4Vsslxk8geh2OA83fHnVVdtvzefQVjWjDT0QdfL0LgTi 7xlhjQBrNidx1Grngn+wRLVKbpmFyP5pz5y2L/J81hKYfMZK6IKmIpCZ3jSz9FXE6mJmhkyL gqw/+kdTqHEMCzmhbyIH21Ss6T6cXZzT0WfB84bTtreqcvqGHLOsoo/n5uJneiim6DekaiXn pr+q5FaxGTnjnOOefqbv8CM9JpeBxy3nVFRVNPjqwUj8qanId4XjY+6eODmYVLzZeC+fJr/B n5Oxs4a9Es163rzUasZi4w6bmYu0K0MzvKOKWym4tLMY1fuuBm8MzMMprCY3tDfS/wAE4kCg ST9ND3Dyihk65HSm9wYDpF0XP5vPPkbek3tDbjVndf+6YBKM9h764rB/7X/ZJtqLWtvk92pG UrJas2JuGzPMOfOYgZWwHz2nI8punVNl3a3QvPJPj8eJyyUy//n/M3ZtzY3bSvqv6GkrqTo5 I1I3aqvOAwVCEsa8DUFJlF9YzlhJXMczdtme3cn++kUDEAmADfE8TGL11wRAEJdGoy/DU/cV +H65PL5PPl4mv18ml+9wyHuEA95ErMuSoT/YXSkg04N2HqIiNiocoXFVemKCiq+G2zuWetfz do2vcCRmuORBaLkHXRVe4BbvvJLH4HDpl523OIbtZtfVAGJQ2SYbYtCK5qUpH6y89AizGCkF AkyCMbPmcHTrFEbuZ9YdJJPL/zx9vUwSW7chI/M9fdXkSTE8Yh5UIAFl9Iq9Cz3WWbl14hQo mhBuDjk+XsWAyJM4vWHOKqvdsiqTlw8ylBFS/fbUpkVsKRDBkCzunjTuiDpe5Xjc2fF2taIM 7TZOUwjhg0+tVGwk8hR/U82gjNuTih098oJmoMfKI0YpBtAW6WJadVWN9IlhSy5d1Txh5gA+ HlIIh7lhKauZeYNe0Z1ldqN+t8yMJKVpWcaKIaMZ4w0UHDIgZwLBora2xbb4VDQn1I0aI8MA SDsmPXz/ePjxrNR0T3/+ePnxPvl2+fby9vfk4e3yMHl/+r/LfxsqZ6gQLB+yzVl02b+mAwDM esCifGetRB3MwSBFPosvJCZfX9Q4b8YwHZPNYkZzlUZZnUYp6pXej3I6WzNV/C+Xxkv4Zl/j 8kqBBVpyb/RLArufe1OvSZhy01SYSG2JHL1CoubaUOPqXPTx8vXl2Yx8kpe2/YH2/7P2ZO0S mB/SFH7g+6Rm2uKvfYVBK895IrqHlbOwwbeh+yr2xOvRpSQxWS9x46IryyGjt8tIHe+3YSXV 5va75CM4vxvBG9zP5Yr7eoEkVZGBoEOSo+dCWWz/YFzR0tojyEqfxNGPOdYDFbe/oBLQjhk1 1P7DbgMc3d0F0G7RKImA1HG1s4/1Btn/OU0mu3DZuOzp/asxu6/bJc15UXEhvPBZepyGptd6 sggXTZuUhW340pNh1cZ27kOWnfVC3Z99Nlkbc/w7l/s4d7yX+v18B/dCBD8x1Wybyf0RU0MQ vp6FfD41nCjFfpAWHBwD4W6VEWpJF3uxu6SokUyZ8LWQN2NbimI8DdfT6QyrXELh1NDV646u BbJYIMBmH6xWlk3gFZHVr6eYcnafkeVsYVwiJDxYRqGloecbfX5qtzxezyN8OeG+SWjdO3li IMMVSVvV3NxgQluzpX6LsSHqiatWHIKn3Z0OFYJEZtyxXb+WpIs5HhoOJpqoDMcGZLHHLaPV YkBfz0izHFBZUrfRel9Sbt1pkM0qmA6GlYqVevn58D5h398/3n58k3G29D32x9vD93do/gQc iCePYrI9vcKf5sJQw+Uo0n3mJLQloRj0QDEItaV1erxatuKn2Q5tPQtQz1A3OMdRScfHDLkl Zd8/Ls+TjJHJf03eLs8yAYJzQdqzgEyhDgFmT+gGyFD4w5ionIhzFv4gQOgzR7Eq4o8IBH2i b+Me7mm7Bx2QPLw9OqBsn5f/5bVzbeYfonMmWW/m+QspePare1iCtg/bLcTp0xdsZaNkX5iD oZt97p32ABdrgXOaY1aQ5aQ3UH2+PLxfRCniZPfyVY51ebn66enxAv/++fHzQ57N/7o8v356 +v7Hy+Tl+0QUoG6VTYf/hLaNEM3dgM6g3WZCbDUjOAFRbOmImCYhboVhBsrO8tdSFCgBH/Ud XOLzxqiL3AonIXBRBsVERwFJM15f/TKel9jPauz4Li1Eq4K0206ShR79+tfTq+C6zrFPv//4 84+nn7aMLt9Nnb9uNByJkqkRkiXL+RR7I4WILWA/uAPC3l7I2YOZBsPSeBHTnGJQBPISAx64 0FiGwU2e6t61px+wxJQsfZJ5x5OyYNHMbvNkyWo+Vk7NWHNbDJcdfbuUumLblN7m2Zf1bLm8 yfJZukp61IDXoSLae/tb11GwwjXtBksY3O47yXK7opxHq3mAa+i71iYknIpvCa6f/xljTk+3 zyzH050/eovkYCzznc17Hr5YjHQBT8l6Skc+WV1lQqC8yXJkcRSSZmQg1iRakul0qIWFWD36 fDAUxWQgH2W9pylVzBJpcGoG7BVc9i+dE8fYvqGcziwTk4WAw1kEZdN0m1S4kF+EgPXvf0w+ Hl4v/5iQ5DchzRnGeV3PWrsD2VeKikYO0GDB7QASXVGYirIr0XSBu9JMlxL5Ut3hw6ETyJMS WzFeJT0tdjs7ywFQOYFrHQjAYvVOfZU/352PxsHgWX8m+zNsiQLw4wBwMPnfAZNVPFjGD0eB pKdsI/43qBcgyNfhhm9xuKpyrHlpcRo4Z9scCZaHQyIFT2QYAmYno+iwg+m231ETGY5Zyuu0 D6vQw67/jSOJXOWxZLj/mrQs8QQCEwA4O8XYWBQYTMmpVQxQAqcEScMczTQ2XyytMtRVfGwm vRJUOX2N89fmeu3QzxwVOsRvK6oZ9KTgtziviirsqklrPGybvpqI053jHw00cO4wlcpAK/Wy 1R/TiDJHC5HaQPsCOntESaNmi6Jjw25TIg9tD9yxylBiH6V0EszW88kv26e3y0n8+3W4Km9Z ReGmzSpQ09piT3AxtOMQLcL3747Dd8ndMxQcM5jLYiLmSQEOh/JKwVoEBAiGkRkEzNnUmNpa VKucaW3Txes37sdFkSc+KwqphEIR+uUgpDqfK2s+0J5ZUE09ahLxVmCzgB+mGx8inuIeb05R G+wMheeGsD7gJQp6e5SdJZMSeZ4+juhLfR8+TzOf60vlWmQo6R6uTHvliGMBnTy9f7w9/f4D NAhc2SfHb+KU8HH5CpHAhq4NMvpCbprOZYk5n+HFjzRPiqqdkcKyMj0WVe0RnetzuS9QI12j vDiJS7Eg26pQSZLuszAlRgrYUXv40jqYBT6Ty+tDaUwg1QexHAN4ykjBsU3ZerSmricgzT1H K61oqlF/XrPQLL43fYgsyBK3xM8oCAKvZr6E8TLzmOqIHabZoeFGzArFRM7FDm7V+sVjbm0+ VxH8BWBwFdzewFOfMVGKnz8BwOccIL7Ox8el2bZDVVSYMCGnepxQJw+HWFgwcyGjRJVMyp4j mzmuZ9/kDd4NxDeearYrcs+5RxTmOaPkDRo8zWo0cbwrN7mvW/QzJD6yg/Wa9f6Qw2W8aHxb 4hYdJstxnGWz86wsBk+1w+a6al1b1pbRd8q+HDwuEeab7WnKmaUL1KS2xkdnB+OfpoPxYdDD R+xy12yZEIasdrkLD/IIBNfPrclMmhby5+D7e45KWUaBib1YK6vulGEm3+ZT2uSlrygNPYko xKd1vSGH5YELCLWuFzY0HG07vbez8ZlQE1u2JTz0GHodG9Qa0yhqb425fRmgASjMBw7xyXS2 NaBBuC6KlwZk45Aif1L3d7s/mcdhtttYPwTs5J4TRM8sZWIfwVStsL0YhcJPpNj5dKQLWRQu Guvzfs5GHsniShxa7dBmx8xnrsfvPComfnfGDihmRaKWOC+s1mVpM289ZoMCWwyuvUyUn27C 29NIexip7DFyx6No7kkkKqBFIIrFj/d3/F486rvxMCs9V9bhDn4HU0+fbmmc5iMSWR4LIcn2 KtckfA/n0SwKR+aV+LMq8sIMUmai+IyLZuupvcCFd+P9kR/FvmKtsiqtpiOmDR8s7qx3Bid/ 34quvMfEMNs5AZP3QnwUCxvaUWcKFm9b1I7JaMaXtNjZUQu+pPHMp/X8knollC+pZxCIyhqa t97nUD8Ys4XieAmu9lYbBUFsBR7/giob3RAqChK6tTFFwWztcQQAqC7wBaWKguV6rLKcKs0d giVW51fL6XxkcFdgSl6hhfE4E7uopTLjciUeHY2cmlEQTICldjQTTtbhdBaMFMdsPSXja8/l kYCC9cgbQwS+aiv+2SGTPWoFQQdTUDJ2bOEZt7qeloz4Ik8B7zrwXKxIcD62JvGCiJMUbWq8 m2t5h2S9X51J1c7opzvYaWPjsjxnNPaoccXw8Ni3EbDBzz2rLsPi7hqNqOn+UNtaP0kZecp+ AiIkiD0x9qloHK3PsLyjvRKLn22198USB/QIEbnwDD1GsSd273isKkp7WvgGTMcwG5MB+Tkv Sn627bJPpG3SnW992yYJ/pmEjOu5K5deHxvvFS6IS7cCnJf7s88cvyw9tw740QDMp6S5/FCR CZA4nuDvDOCdkJY92g+AS7qL+QG/4AC8qtMoWOAd0OO4+AS4GH6ryLMxAi7++fR8ALNyj8/l k7PCXp092lOCqaSAvVeiZWoXwzA7C634eStoUr1f+KQdu9DM9J80IUMBgqDXEywCOdHFXagS W5C1wBVgvoWPxYrxzPYGQwrtDwwYSIU45+3TKrY9OCysEykw0LzJNQEzfr9Jrz389+fElCRM SKrvaJ53tvhU+vxMTk/gtvPLMELBr+AbBCZJH39duZAYFiefFj5rQOOIr1CHz6zmh9bvyi4W G87wjYjxBK8xP1oPaEOx1x8f3nt2lpcHyx1Y/GxTmnCXtt1ClK/Uyu6oEPA6U3btFlkF771z Qm0qLIvrijWADZp7eL+8PUNwwifIJPrHg+MaoJ+HqxzH785i+FyckSbRo2N/fyU7k97ot4Gz kfXkHT1viriy1NBXmlh6fFEzO4ZysYhwS3WHCZOfe5b6boM34UsdTFf4em7whIHH4r/jSbT7 ZbWMcLOYjjO9u/NYtncsu9KjebA45LDyWH91jDWJl/MAN2QxmaJ5MNLNakSOvFsWzUJ8Ols8 sxEesYysZov1CJMnaEjPUFaBxySt48npqfZcn3U84JkLSpaR6vTJaYSpLk7xKcavQXuuQz46 SOosbOviQPZOgBSE85TOp7ORAdzUTo3D5cS44ZOZVUoeIiQhe5vxbXr65mxNwR4A9YH4v0cI 7PmEmBuX3lgxCJ84Vm08wlzPTc4QqH6MK2VbuikKXO3cs8k41dIuf4SRprDRely9jVehINgw TKtjVCpHgRkUvce2kMXDvavs4WMm//YWz2nFzNCciiqOhymVtbrIhmSL9Wo+rIyc4xI1vClU ekghglhW9jZdY06ZHTr2mY+8aZoYt0BWHO6Ka3dCN57QZvSwENFv7bcQAcVOUqRpbZzHYhIg z/YcswR/MsHE7Q4mxaYy7LM7+m4b4i3ZVZ6oRBZH6zET65kOkIMiKzAVWsckJfPYtqfqQM4S emJwU3eriDozQw/3JUsFqhfQRvfDSjUczjA1fsd1gqzxpolah4Dxaeocxfo3gsiTRYUNEZtn 42Ss7FFIg+Uxkum75MSSz57wQR3T/Z7m+wM2IfuRxRfTIEDbAbLjAQ3U1LE0pZlt1SILQRkt VWIgWN8qt2wqMpRPZUgabKxpGJYqTipq5ts1iGDcWtLK9oo28ThZRav1LcxevSwcjrttZirt ULitZytLlWUyHYS0xxrCsMlgMm4OYTANZnhV5ByROtsFwdSH1zUvXbO9IYOzCg455j4HQJM1 idfT2RyvCFKtl7Yq04T3cVbyPW7dY/JRah6BLWQXpxCdwtneLJaGzKx7URPUh1Mc3BVFwhoc 24tljZY4xlImvl7je2u+5OfVEtOaW5Uf8nvqK4Le1dswCLFctBabWsJQxPtRTjFcqJwix5Dd y+mdMEL4D4JoGvgqEnL/wqeEtPgyHgSYIsdioukWMj6xcu6tT/4YrY7ltPEc26zS7lYBrh+0 FiSaD+JpYJ8DgqPXi2a6xLtS/l2Bb/8NXOyyHpS1cTabLRo7s6DVTrkoeYdEUkerpvH4JFuc 4lAYeEe+1OoWWVlwVo/N+YwEs1XkWQHl30wc5304J3JNKLxwOJ02N1ZIxeEdSgoem35V1tae jYiz1EpjbmPcP6l4HYRmZFMby7beCptoufC/T8mXi+kKu5432e5pvQxDT5/fO7Ka1RPFPlN7 mnza1XE5UWA1WGVsPrBLlkR8HEpIHCH6JkjKdjobUtzRIelhot2FXf4gGFBClzKbDpq5neG2 Xgr0RCrToKV8klq6/cPb4/9CWGT2qZi47ij22yChQBwO+bNl0XQeukTxXzdoiAJIHYVkFXhu RSVLSUABgHwbBadsY+kaFLWKTy5Jm8wqZrcOHmYe/yb1bEXwB5WuDW3ewemeXZxRtxOutDbn i0WEFNIxpHP0OZodgukdrsfqmLZZhDiQkb8e3h6+fkBgaTfKRG2nbT/6Iguvo7asz8bqoPPD +Ig6wWi4WNr9GMuMQSoUlCfmdF7cFz6TnXbnCVQhQwmJtQ8Nm5XQo5WeUPy+UwTlpnV5e3p4 Hpq06/bKrGTENK3WQBTa0SI6oqigrMA+UmaSB7NnjvOpoDluB0loC8di7GVMJqLcEDyNMFPC WbWaEfJNYGDAaGCZ3FSxU6vJlVftIa5qI0egiVaQwTmjHQta0TXttned6N4PdxO1KqzDKMK2 JZMptXLlWO9sJx21oKKJB/Msf/n+G6CCIkeUdKxAPKp1QdANKS7KaA5bwjCIxpd3S/3smSEa 5oTkHnfnjiNYMr7yXE9rJr3Efq7jHbzGf8A6ylZ5jHAUXHk8ojS85ZCAfawOGMT3wQy/mtE8 4M7m0yOK1bKVjoa4Ali76JChc9BVYCkzJvbUPElNsytJTeAftVPuSkB63Jo5cy0wBvt1GTgP RTjk/ti5VUnrDG+Z5v2yInC2dUjDtGSqUsi8UtiKnf3Jn2MwP1axZY1XzdZLXLABZTMjnlBE 2QlPZCNDbUvzEEOlLA78kk6P3N6fIL04Uoj4XjuVu9HJDlQT8c9M9CYJjA88HiV1yAY6a8cK woSYoOTU3HdMND8ci9oFc+uARnZd8f0IJruuYExcJ5CPcGMXchQvCcOwOQ+bwuvZ7L40wwC5 iHMYoSmxnT/Fd3BlpYal6RkNDCMk9+HNfOjmX4P+uWaDMkaooMpLLsiza5O7NA390QKokAcL vzsXaHZorgJE9uP54+n1+fJTSFjQRPLX0yu27uvH/Be7V4a0JvPZFL+uvfKUJF4v5piSxeb4 ab8qAKJnhsQsbUhp+lYDoONhgtOzDci7FpsUp7vCysl7JYp2XHsKeqc7iUBQoHc3N8tElCzo /gQtVkfIICCe9bzDl/g1c4d7gohIPEtWC/930J50Xpw50rgNco86SYGZJ4GFACECCL5KypVB nqTx3VJ+Ooh8sfb3mcCXnmtiDa+XuGwA8JF5QvwoTCwjg1ktw/J4PjAnGRLmCpaBv98/Lt8m v0NgTPXo5JdvYtA8/z25fPv98vh4eZx80ly/CbkMItz8ai0aLYHsSzAX7SGbUM52uQyyZS/k DmiE7LGabLDw1NmXfIylxyMc2GhGj9ipE7Bh6+UxVWV4YPlnJ7OxXBilDYNNEzMUiUCkvnam XGsNmlieWd4tfvSnOFh+F9KugD6pyfvw+PD6YU1a861ZARe2h9ApVYcWFad8S08JUFVsinp7 uL9vCyWKWP1TxwUXIhAmX0iY5Wf3pk8NRrGyyf1gML6Kj7/USq7fxxhk9ruga6b86G5tkqij 290YEBAy1evI07PAqjrC4hNheYndFPMyMzM1cvuHtW0qbRJnZhau6/Ityc9PEH7PnMhQBGym SMVlaecwK5FoE2pnKPm16KEIAI+RVOa2vbsKaVaZGkwTXFdosOgZ1dX5J4TLfvh4GaYaK+tS tOjl679dQBtLaktnMNHzZpkwrCYfHh+fwJZSzCRZ6vs/jfdjOakrQ04EgvjLUDnpCM890L2/ Gg+6CHRMaAy2M6xzNJqRMpzxaWT1rcZ4Eyym+KZwZdnE57qK2e0WCDm7qs5H5gkB1ZUlhFGf vVZXVJznRZ7Gdx479CsbTWJIKOnJ4Ke5EpqLQ8RYlTuasZyNVpnSE+ObQ+VJ1Hft0kNeMU4H VkTXDy7GqcrBaBCcRM6aBwK+aqdVZ1B47F1kUZDcjTvF61HmUKWZ3rSXhlWQ7m8Pr69iD5ZV IJu7am6WlL6Xa5NTXFqrtqSCjgrXgRoN7DYzPyfzCF8STM95c6vj22wTLfmqcTuC5vdBuHKp 4rhzKAcvcmwiRE1finXkN911oKl3us8sIJjOYTNt5xF1agQEfNTbYDmoVmPiKd+7bVdBFLmv pt4kGxTH6mjl70efhHsFZz5HKMlwYjnEkfG188SDJZlH5tFC9tbl56tYc4f9pa2I3RmjqHb0 emNYTzFq2Aw6QtOhHF+D5XlsNnxU091HXaZttFjd6K26ZCSM7PsVNR+3ybBjnHlYsfsCjdag ZmK8ni4Wg3an5Ww9x89OGo9WsxstrsiiXkRYkGb9QnCrGC2dDyDJ68D9LpocumRl9OpQu3tm h7hez/9lJOYc67Ubpz/JsKl9Tj5qyKTt/zN2Zc1t60r6r+hxpureOlzERTN1H7hJ4jEpMgSp JS8qH1tJXOVYGS8zN/9+ugEuANiQz0Niu78mdjQaQKM7r25MEB54VUzjm0yZ4HLoLaFo6jRx NW+O4hEBiz+rJa0njzwH6gSCnwOeo72q23Ei7D3IUzaBsq6uC+mYSaaOTtwGLI0EPteCojTB OEtt1khpiU4/o48wVRz3gDm8OA/BYYb7nM4pcwKDD2+FxeAeVWah9nsDA4ulZRnV6g02kUws o100Iw6fx1+c4Hg8GgH1PE0H0/bcQcNDi+AbGrkVx/KjQRf1UnFgQMOewFpa80x6xKGS7Scy 8BheiwwtAYLSs3zD04IhteboUeN2SCNnNRZk3sxQwnAlWwQMwCRnZgVCMejQi+TAYjwQnPLl PXqTp2gT179ZLVyjAn9FFB+6d2l7R6r4HCLfVcscjhfQqQauZ0jVCw1uU8cxXcbukrKSGRud rxArYiRtom6TYYs4q6U9h5vWs1yXKlfTrpaqWjbsYXsPJPKfIBtTndTv4YW6LW4F799BfaOu l/sgAnHedpuu6dTLPA2klsmRKQ2WtjRaFXpI0UvbcmwT4JkAnywhh6h3VwqHaxs+XjlLk03I wNNCNf4ODzX2FQ7foaoGQECEfRAA1RgsCXyHrM9d2GYm36kDi219yoMB573tjSVnCkBRFxkr qTONqbT4WJtsfFZnpMuMkaE91sQoSZnvkAliiAvnViekWQEb27Ik0pypmAOSe3egadGGB31r wYbF8tbUx3wv46ypNxUTi+cGHpsXqTchRGViDq5h91KmZJYta7OujbRAUhrXpvDskBENAYBj sZJKeRP4Fn24LnHQ5lMC3uZb33aJoZ7HZZQRhQF6nR0JOuiFM5dMU4d5pKeCAcfzTZwB5Lfa dlKD/0yWxAyGadLYDhXShfvk3WQEwFcGcrxxiFzvJA5YLImJgYBjm1JdOs6tzuEcxiItHf+z Ijk+KZJQqfItn1rTFBZ7Zfzap9+EyjyrW92GsV98ar3hgGvK2PcNHqgUHu9Wu3COVUDm7NrB ihRjZVK71k051ibCGlb/MNutHTsuE/PkKEr/1kpelIFLjKuSWoaAGtBZBNTZzgSH1EwpQzLj kMw4JFq0KOnWBPrNYV+uyIxXnuMSTcyBJTX3OEBOnzoJA/fm9EGOpUNUatcmZ/Q9inHLFW/k A560MDtcKleEguDWtAMO2C8SAg2BlUXUnh8CrZRpXuuPHrVP2La1iT4EMjUhgez+myQnpHAh 7pL1hb3M7MAlmjaD9XVpEX0PgGMbAP/gWHRBSpYsg5LeWutMq9tiRbDF7k2ZBuu/5x/xEUBp mOqcg3xko3C4pFbN2pYF5GZuKmUJwo9WqhPbCdPQ8JR/YmO2Zd/qO+AIQofaQEBPhNT4yXeR Y61o+pFSJHaR61AJtYn6fHikb8vkpsRvy9qm5hSnkxOVI7ebCliW5HsmmYGqBnqGSurOpO4A 7Ic+de46crS2Y5Mjft+GDuk8bWA4hG4QuJt5oRAI7ZQGVkbAMQHEVOV0QuwIOuxvtPtMCS+C 0GsZVWMB+rtb2jzwwJzbrsmkAclIaDgOvmmOMg5+NDH7G1uz9s6yyXAOfEFR3hsKAnorb3N8 4MrmWFZmzSbboXV9b2SJu6nodC6lWLcDs3ZYMZAPTc6fyGK0IvXefeDoo7+cNxVGY8nq8yFn BhdqxBfrKG9E1F9zrZUPeMxl/tj5s8L0J8pFUSWRFu9W+0otyLwRlKrRcBztNvw/Gr5d6k9K O504oRnk8BVRnzTbr5vsi3m0oP/iqFVNHHnwPp57UkSl5lAIMVYl57RlVL7T4AdWd2kd0Szh 9afyMkJODVmodLQc62R7k0s+sze3xtzgeKDM3niNwK46RKeqo24bRh5hjH2Oqwq9ouLkSIks hrtw3gKH+/eHH4/X73OXR5MMqNbt+DXVt/y0g6gUAr4jA2Oa0+aCSniqfRq1+OKSqrS455jn Kgy6COBrnjdotzRHesf2VBUOBHE4vZ8juENzj0eyyk3WdreaMUq+dBjrBKo7JRile+FTpSeP qUVFXqKxqN46CkMAKpGRIYuTc+KGS0P78nOoMNPzZTX6dgSNxuBGGhJd522dOLc7NuuaaqgW Pd3iALIxo2VEhso6RBgCUitz7ruWlbHYnFyGyq8RhcoaGglPeGxnrfYZEvUibOvb7cFAyZ3X d9gV4YbOdvU0d3u9G3rAt0RtpAFed96sJ0t8GCzMFgwZI4sbxMG8PqgKGuZlr7OoBQBqGARz 4moiTrIhSrZfTSWC8ZXVsFFxyTm2y1eWa+7JXZ4Elh0a0sb3NJFj98UZ7s3/+df92+VxkpMY p1URj/jOM/lEirU1Ed+2Y/GniQMPnbgqvOvXy/vTz8v1432xuYL8frnqvgp72V+DFMrLDNYR XNqpBkaHoRVjeay8xJMDuiILQ9NPlQRV5OHWyK8HVEslL5S3PkgTL1yQnz8Nk1KbRu6MzVCR nkm1K46TMiIKiWSNSVQnyQ3cI06RQTXRyFOJNYCti4gpvqxkfvR2e05KQxRNmZE2fxMsvbHB 9MDj28fLAxpoDi4iZxd65TrVLMaREjE3sLUjG67u1J7n0Lda/LOodcJgHuxaYeJ+tiyDjQln SFdeYJeHvTmfY+1YM98MCgvGqzpnpN0s1oRf+KuhDOAjruI4hrf2I4OntpVQf6ikDG84etjk i5fDxY46f0QIb3gUUwiJqJpBbFs0UGd54qo0YBL230qWQvH90kXN3WiTT5avqBOjISJixhci oy6PPfA3WM7Jtj38XUZUxOnnCFPl8NHs2RhPWeMzvW5Atj+j3VeYrJUpygby3GVlbYgei3AY 1mVIXjlNqKf3ESf7BptlPg6io730Aur8rocHWwr9syAIl9Qhfw+HKysgvgpXDv0mZ8RXtBHJ hNOHWBxvffo4k4PDzkKdCJPhl0pHrVylDCY3E3Wg9Jen0srf041Tgucwt1aT0cF4Q6YJU0KV yLKEkMcsXwb+cbZr5FDpkad8HLs7hTAeZsIJFT5qaxIfPcua5RLFrm3Nhbqc3okl8pYeaYoH HuU6GlFhhqmXC62OQuoeqE+wKDv9kzoqYI9An/bUzLctzxBKi5vh0EddvWcYrT4zy86Jql4i DfRwGZjmN9aFG5pS33mhbxpGcztSierQVM05pUBA9LjS0e+w1aUG2IBFnUncAQfG7bg1Qg6F 7QQuMbKL0vXc2UCY2ZnLi7+w+9UUFkGceblETYAtg8JgZ8qLVsJW17TaImjPepdb3ZoFG4fN cg3gpVHy61a+E42qGyKedUNhGe2De1qTbfAATvH3M5B0W9UJWOfHDDqlKlrFMGFiQCcCHXfz sGOd8t584sETSH4AeZMLlrgNjH8KipI2DH2PhFLPXYUksoMfNYnMdFypJbh6SPagykSOUpVF tt9SEEeexxpik90Q7TzX88gWUDc/Ez1nxcpVNQkFhE28TdvnTGwwR32XEkkSC8jzwNCYHKNv L2WmMHA+yyMM6MqjFakXrgzZo4lp4N9MGvUmT5btChT6S0PaHCRv6VUeTXvSQI+SPgqPZgEr Yb3irwpWFVdcyqkQ6G+GcoHuRZomTixzBUrC1t3XzLbI8V3vw9DyLTpfDoa3G5TzrAwJ8NBY +DL0k/Fmfsch8WhK24Qwp6wjyzDeEWSGJxYSl1eGgU+ptxIPob9NKCzjnu2T/n4VJt9xfbIn hPKiuqfTUdJBns5EzxxKN9JQ2xCxV2NbkXrajIkUtJKyQyV/w7/8xCUW4M+ZYKmlmRKjboTx VvhbEeFOZDq5+Xl5fLpfPFxfL5RXDvFdEpXopaj/3Ji8cNF9bvdSRlpKab7JW1jAJx5jak2E D3emlNSapI05kwSDW89T17mqXdtgeAjq4H+fpxkP1TRlLEj7ZeHotCjd6zqNAIQ+U+Y7HtNm t8nGe7KStzpxdyjKht48P68BniXe4sJGGh57DpGgZoe+THT65XFRlskfDHXv3kWBUi7RGyJ0 eEPZVPUxAqDOTXlQLpd5W8Td2tFWj4lONCqnl1lZyYESpC9KfoGsNuf9y8PT8/P96+/J68X7 xwv8/AcU9OXtir88OQ/w16+nfyy+vV5f3i8vj2+S54thmsRps+eOXVhWZMk4YaKPx6fr4vHy cH3kqf56vT5c3jBh/pL959O/pff+TcpG1oG2f3q8XA1UTOFeyUDFLy8qNbn/eXm972smOS/k 4Pr5/u2HThTpPP2EYv/v5efl5X2Bjj9GmNfuD8H0cAUuqBoe6SpMMKYWvFFVcvn09nCBtn+5 XNFBzeX5l87BRA8sPvCGAlJ9uz6cH0QVRG/pvdB2O8U11URExxu1fHwuY20ahY787GUGKjtu FbQBtY3oKpRtOxUwi7zAN33JQcOXZetYR0OBjoljyRZmKuYpnrdVbGnEymS5hIXKHYZ0e70+ v6GrBRgrl+frr8XL5f+mqTF03ub1/tePp4c3aomINpSX+/0G1gPZWVZP4C7GNnXH/mVL3sUQ ZIe8RRcHFXXtkMq+V1IUZzXMz+PghkpeAzjKHxqV9BN3meEME3yNTxjpPM93Jev9PKnZI30d k9A6Ri95hAHKBFYgiYX8At1VLVhRRekZ+isdBamhZG2rtch+9NmJ2/ReWixANGizUfpEOPIK LMvXG1C4tyls1eGcxrA71nxarMKj/j0sF5nBIQTCUZnCGKAMbBb/IYRscq0H4fqf8MfLt6fv H6/3eMU0iqsyXRRPf72ivH+9frw/vahBvjCfXdXts6gzliNfkTaevDk3WanXal8eNmtaP0N4 U0b06w4Eu7TQk4sYvW4jVm6ijWPw4I54kjdNx85fYJwZeb4caasixOIq2VLLOK+mcNUIPaSO sDracYd5vJXTp7dfz/e/FzXI/GdtXMVNnsoHOOPHE6KkkQ9R2hbx69Pj93k/Cs0yP8IvR2Nw SGTc5iyH/+KSvs/hEyffndKG8ojE5x/30qv3VJve6PbGduhDuL4fjZjJHRhiLNpHG9PcF21Z NeiUhwuZM9r63I3a5foVFtbFXx/fvsG8T3W3xmtJKg9ChosciRyfkxLjtWUKbVe1+fqkssG/ dV4UjVCTVCCp6hMkHs2AHKPAxEWufsJOjE4LATItBOi0QOfN8s3unO1g7VNM0AGMq3bbI2QH IAv8mHNMOOTXFtmUvFYLRW0FYpqts6aBzYB8esYXkKSL1TqVVZr1CwvTyt3mBa8pxriZCU+l 038MfgSJLQb2AZceprrXJb1bxg9PcdY4ptASwGDyVIsQLCjQWLTM44OCtUYQNASDpwcEM0bZ ieOIXcpHnNjgG7W1x8B1WlMzO7WN8dkxYR6Q3oTCXsuI5YHhTS+Oqiy0vICWJjg0ItixGot0 Y83F1m9PJjklUBPEDLFHY0JGKWhuHGAmwYftmlUwn3PjILo7NfTlEGCuSUpjllWVVhV9WIZw G/qGqIw472DVyswDNzI4yOJTyZhoEjWlFjRbarySJd36qA1K0CFodljwzptju/RktZ83NL8v UeVLBoNoV5WZlji6bXKO1DEcikOMOsy2WaZKWQy6dGevLL2gA51ShiRYnZrjrk4ZRaUWC6aH 0FMJ94Z4LpJ0fkqExKSIGOsdOqvI3J3jlBz91YRPbr7GYkpl4beMZI9PTDcufSYm/nj9Zr3r Mlwt7fNBscqeYBbB1iiikHkgGSnbtA5DQyBXjYu8dJaKNzu2V5pJvGydf4XesOliS4fU8wIN d2zz7hL3VVRf7T3HCgra2cDEFqe+TYajkXJvkmOykx1gpLLHSNBcK/UvfHuNXoVhGsplkyDz cicxJUXXOoYbZ1Z1u7nzzm2ezh1EbhVHHbDzHJ3ptE2226jxzQFvItoBYYepz9sJU5wmjTgL +nV5wBgA+AGhoOAX0VIP/SmDSdMdtVIJ4nm9Nn1TK0dGnMRkN82c0mF4cT3lOCvuckoPRFB4 ZdQ/SbY5/HUyfVM1LMobNe+EH9NoNHGoqhKhAzYV93+oblMGqrkNMjy1WKup4QGnbHvLaV/v spNKgt1wnDfaQNmsG+1L+E4Lesqpp0xvoENUtBU993jKp4ZvbAwVyfGJhZ4kHS0CkT8jEeJT YW8P+W5r2ACIquwY6NmtsRBFonnY4sQs1TMqsl21pw61OAjb2j72LEHFP+paER6CroYRQHLT lXGR1VHqaP2vcG1WS4seH4geYIEv5kOEK2RaeGNBPw22xjI1R5vYat3q7QDiDsSKIRIzZ+iK Np9FkpMYdjxWofINrPpkJBjEYDHBR1NFpcZWl8jmqVJnbYSeLtW61TCrQYEgicq+WqaPC4Ve 9oEB/hnbZOShg35yFoyTDCqd8jSSAw3sjbUagNyBBtNLQsTlllF0hYPB27WkWhwtINczLV9I qi500dooTpRximP4MtgTKhNzJJp7hpVR0/5ZndQsZOpsALf5vppNf9iiZ4ZIOhzfwuSnTokE CNvntoygCdTIfhLdXIMOl9BzzVy1lIc8L6tWm2PHfFfOyv41ayqsqLHwX08pLIdGySWe4Z63 XTwbCAJJoBZo38D/Mi2oIob56CpR1S0mrYDFZ00x0Ab4XE0ZkouvQK1fr+/XhysRgwqTvouV uY2kWbjuKboCpf7wUA5cBRJ8L++X50XOtqYKCdttYNCrJRWh2ia56YhIuttViaO3BInGw81t I3beylKnk9/PdOI5jN4K6OG5w1eIu+zQb2fml7/qtR02+/UXnrFrjTw8NsYjqZxpxcZAtGgc z6+5mV6MqqWkSo+cD9scY7ezlvjsHBdccLIWB6ohEc29BJIOvC3jaE0PK4ydkUyxM1JqUCV+ cLSsWZufj9itgqpkyelpvEki6ips5FDe6kxUIlQCglmfman5jhjzcVvPS4kOGm3/SBV0De0K X+nJqk1P5KswdJ8xsCK07RtFb8LI971VMC/6Nkm1l1MDlelDHonc92gpwkKNPdy/PE6e79/e qN0FnxwJJdn5TGp46Cc1r0M6651WvWEQzgxBev/XgrdAC5vYTbZ4vPzCa1S872YJyxd/fbwv 4uKOx9Fi6eLn/e/hNuv++e26+OuyeLlcHi+P/71Az/dyStvL86/Ft+vr4ida6jy9fLuqQ7bn 04vZk+dxAwge3PpoukFP4qYQNX2bquQStdE6ij/lW8Mqn5BBr2SunKWOfJ4lY/B71NIQS9PG WpkaAlHSmFZm+rPD4NnVTCoNeFREXUofYcps1S4zabMy213U6CN+gAajGmjXJDaVBvbW5y72 HdL1C5+wkbJQ5z/vvz+9fJesQ9TlM01Cw/k+h1G913RumSGvTTZo/Gs+ddMmUesryNV8HeDA Jko3GX36OvKkaBbeaJHlxKPb5/t3mDg/F5vnj8uiuP/NTU3E8sflRRnBpHq8SPYnXBDkFXRg cdJLlB4SypqzhxyC3eE1m5Vrc//4/fL+R/px//xPWIwuvBCL18v/fDy9XsRiLFgGJQStNEBC XHgEjUe923hGsEDn9RaNC24UcWorsrCmB2nT57osmbNgxNE7DD7MshQdPlBbF77QbnPQ/zJt 9A/U+YI5Il2amJCizufrYeBbJJFePTmAz26pRhoYxKicjTmS1zw6sZt55xpWKhF4kfxMVd5I 7Tgrc/lZQE9yfJUUpV3bHTUJlO2ZHAmNr9t55ekCucg2VdsfgygFL4zL/yDUklOQ+K7WjSfu 5kTrknQ4fFCVmTbNz1lB3tDyauGJXwpdUESzWQxqLPzYGy7neflNxYexDWr1Po8b9X0LL2l1 iBpoJo2MespcvWMwergGs86PbWcUmTnDs4P1QU/gBJ9QtzU88a+8gY4zcQSaNP50PPtoUqm3 DJR5+MX1LK1zBmTpy/73eGPlu7szNDO3dmOtvNrUP36/PT3cPwvJSw/TeiudNu6qWijHSZbv 1WyEz30luF4bbfeVHsJqJIpZHJ+GHYyxiWvblW+jplVHb8B+1t+WgTITWjSQ3m7njIwqAK8v nu4e/uUQ6KAE7DqMAr9eo9GAI7X+5fXp14/LK7T/tOnRZcywK+hS6nkXz6zpJa7y3aDHG9uh PkYOadjPl+39XIojzZ1v6DEX2iQB4ThN9KKryn6Zep7r32IBRc1xDG+HRtwQvoC3T3VHm2Hx ybhxLLP2knb/z9iVNLeN9Oz79ytUc5qpejPRvhxyoEhKYsQtbFKSc2F5ZI2timX5k+Wa+P31 L9DNpRe0MoeUIwBsNntFN4AHUXR38zgl/kvuofld6ivdwgll7qaUci2YhcvUywL4bUSrq8Xx sIfpTp7W+cfr4ZMrZ/f87B3kXJ/sn+N1/0RdoIhCeRLOYIALTXdEBpdw1RV281JM+LbCW/qE EZFQ35EfIWqccqypaZZ0aiJJE7se9z9oF/3q6SJmzgLPTRhlSFcJgU3KOaKZUVVjgvXlw3yv /Z7CrEceLCIojK5BLfSVK+5xOZhawvprwcw211qJ6lSI48D8KrxvwttqyWoBv4RdXTFaNNSS WxFomwUKzTPcAWPUGVZbdPmNl755aQiiVG/xEhzV2VRmcZN916iYacnXuGM1FQcni2RF1Fjm bDV2UhSE8elDgijbuSviaERCqjZcEpW55Q7Ih0hM9Io7HamhZ1WP+RvM6BRQR4y2FUY7rf4V lWoEZI0H+gNVNDLiPhb6YGpgVWQiEXMsho/XF0jC6odU2B5saHOzFa2QD0Yz2qOD86vAR7tA 7joY3nZDIHRHsx7peNOMxNFPo/oNMMWNicAvjP56Pr78+L33B1+2s+Wc8+GZd0xpRJniO7+3 9o8/jKk0R12P2l1ErfSknzVVSavMiRinbXwVQmpN52YuJqxzfjk+PlKzO4f1YalFJTUSjuv6 CLcUhIHFx42n/A7mDplNzfccTESe4A03c7NCuoXkLOMmP8vdUsk9iASEcx5Pe9OK096vAY8v gcSbvcipru3bslpaE3DWOgC0vA29r+FNh+ENDMTSj5eKqy/SmlB7WG5jP1QroeVSxO0gc2AL WnryTVZlKQHaWMErruiJk2ONzC/nsbUrfK6MlpHUti1Dqs0WK+QakBIVnezx+hntqqPirlhR ilc0reY2eVvrL2Z3MShGu1KtS+RUxx+jccvMaW1MQAZd3bS18ELxvCDZNbecKrV1sWvPtBUN o2BUs7Q3HE5kKPsgwjq7QVAqcoXqHAU/SzegzJbISTEobunHSjZAZHigGbQMpTTHtyjdGNrp Z25i8S4tqhRvleOQVQYUc/J8gY9nhapwIDFajPtUSAuO9jpEUn5mM092y4KODxJhEm1TVGET sDAr6DEVmR5rFXOO0UCy7a+iB3Fa5OYbIrXbJHLttn/D4re/nN/Of187K9DgL582ncf3w9uV 0tNXoKdnJKhf7sCQVhafIKW1ythNywW9MMNc9j1L+DzCYNIHqixno76KSC7MtkHSebtWF9uN FigChfb7A6jQ59PhKlNf7p/Pjzzy7fh4vGJm4fMLPHZVbiccbzLuStdl4ncZLBBfJHUwiqsN iamKrMv76/jp4Xg5CFw8pfB2c/LyyUB19KtiO1/v91DIy/5graFUyMSG8cZZlIYHjMlw3KxH vJrwR7yGfbxcnw5vx6atasbjB4yd/fn10KniaWuB+HD953z5wVvg47+Hy386wen18MDr75LN CkpVE4MYHh+frlKR9TmRhf2fk59N6+55qjBMOf340eGdiZ0duHKx/mQqJx+pCBWkjQjLPbyd n1E3+mW7Cu9jS8sCc7c0QThBnbr/8f6KJb7hnf7b6+Gwf5JLrSaPCMo0nndeHi7no3K5vwgy f4tIvuZVcKsGxRb7iLeMqUPxEs5c6dJBZGd5FrvZXZrDwrz2A9ovrogDdsdYakkzHCXkQrnM /DvtDF+RSp9Ro7PmYv0EMKjxIO17UXMNd6uGYcFUbflJiv5aN8rW02pWZLygI15Y3xPf+koe E+ept6A1Uz0u1VQNoqkmFw6Jp9Cw+S1pezd4/oeHhz3javnB48+rWx3iGM3j1WAz5CH4ZBPu pmMJbcDcfiqxNBL6tDLuVtDLfvM09Vjkh6ETJzvCd1+cLspVkqehjMHghmu0s0OXipym9baG oN3AQ/BaGMiSriXO1sirm8k9n06weLs8kz0PsMJlTm6X9plb6B2SFAtGgxEdh6JKDWnHbknI 9Vx/0qXdxGUxhgFbpUt728ovvQEos9qyNIj1iyzRErx12Pn9QgG/QsH+Ji+DaX80UPpmHnoN tV1BnCCcJ5RKF0A9Cx3BZIm7wXHf4cxOev94uKJxtAa1UHbJyBNlGPXPDqfz9YBYDtTAz3x0 ykuzxDxoZ6+nt0fymRSOQpVaRrYm987HRd3cQOA9v7OPt+vh1Elg5D0dX//AXWR//Bu+09M0 mxPoG0BmZ1dXeuaX8/3D/nyieMc/ox1F//Z+/wyP6M80dUbo07rld8fn48tPWrKCzN+4Uvxw GtVJGxqlQ/xUEKbrxaZK78DTUfCooDKJPT+CI7p0tpKEQFHFNQENc8oZUBbBZZvB3KeO2pJc Ax9neRMc1uGUoH+E4UbWfm/pbxRUan+Xu1zV5wX4P6+gK5jpEhRhnv/hq6NeYlcsK1hoxa8O 25iSYkaBk1VimPNtIKOetXQNFKxiZPl0Nhk4Bp1Fo5GcY6gi1+Y77Ro+yagYiUDe8zCforBs UbTSnZNkvCg24P+Qv14ECy6lkqs7JNiGm3e1hxs8V/H/kkYY6XG1zLoCDMdnI9JXC2a1dyZ9 NyUkqmdNdVE/2jR67y4cDKXerAha/urI6cmXBPPIhYMEvzELaar6vOf05cc9ZyDHYHmRk3ly vitOkLEIJYdjUbpq+uNNKOC1K74Izicbar1jHpVnd71zv6573Z66y7iDPpmGO4qcyVAB3hYE DdsUiGPZoQQIUyUyDQiz0ain45AKqk5Qq8bBW0hM0p077mtpYPM1qBxkBkHgzJ1RVzua/vq0 25/15FEzmc3UxNduD3SJXumQpuLVTonCw2yhw4lOkLMmcoKcghIBEgeyUwgQZmMVPhNTUA7J dKGYcuF7bzpV09LGTjHRDAANel8Z2FKmtyIb+mNZvut1lXtNhCL23O60R4lzJk8q19asxS5W Kiync1eoY6QuUw03usWi1rulUhJen0F5kJGjng4n7pLB9CO3k4cOrFaralqqPc+mFt0wcL5Z XP4236ezxmy8Oj5Ub+S3NUK3VsIQ69VALJ6qN7zGJhfciLXJ89oTP5xX6/fq7+TLa649RPOq qVwdC95f1JkDIwEx7b1y2t6piHl2RWQvPvnoGTfqqpfjCDFr8TQA1nBI7eHAGM36WTl35BAt Th2onYi3tbZLcTYc2uCLx/2BBUER5ueoZ4EodtPhRMVtb67qHt5Pp48W+Ov/BIDF4f/fDy/7 j+YC6r9ojfI89jkNw2bw8tMGV/zvr+fLZ+/4dr0c/3qXoYHSp/u3w6cQBA8PnfB8fu38DiX8 0fm7ecOb9IZ/c8vV7IXL3ljZMfG3lg6hHajLuywRm1rdJGkx6I66BoEceeJpZxcwmoWBKzW7 nYv5cqAZNMXkO9w/X5+kGV9TL9dOdn89dKLzy/GqLgYLfzhUVzjUErs9GlRasPrNbH8/HR+O 1w+zEZ2oP5BXQW+Vqwv8ysNdhj5JK+FLUeBpRr1aKmdK5kzxW09bUWh56oMJvfMio99spQGM vCuaTE+H+7f3iwDSe4fGU46A8yioRgatrkS7sWUxjTc4KsZdE29b1QrzMmTR2GOEsVS7T5Vs oSnsOCGlxDreV2hYRYFzQpj0XSU8z0k9NhtY7OWcObOBB6x6tqtUZFlWPDca9HtTyq8BOQNJ 44Lfg/5A+T0ej5T+XaZ9J4WOdLpdysTVbAIs7M+6vakyNBRen0odwFm9vqKfyQpuaI/Wq0RS G7bLV+b0+qSal6VZd9QnU6DegKII84zO5RBuYAYPXaZN+eGwS075JM1hLEgjJnUw1bxKY0Gv N9S11sGARNqFMV1sAtaXk6PWJHXy5i4bDHtDjTChcttCv4xkjZITpiphOBoo3p+j3rSvnEU2 bhzqrdAy/QhUMxIPYxOOlSPWd2izvkjTLMxx948vh6s4vxEr5RrO2PIpbt2dzRScC3E2i5xl TBK1c4uzHGhZBqThh/J+nkQ+xq4OqNv1CM5No/5QNiuLhYi/it6p6lro7Lp7MGXxdEhkya0Y siInuRc2O1jwsn8+vhgNSH1gELthEJMfSImLU3mZJbmBRMBfULujdD6h4fHlAXS8l4OqWvJQ sqxIc1pd5ZkzJZaihbyer7CxHImj/ag/UQ4zcKqYdsmcOi5mZpYBRIEwUiGq8zTsamkpyGrA J8r+D2GUznoCZFRoXAgW+34hVCZnnnbH3Wgpj8+0r1474G/dpqEsjD6zrJ4p/eFp2JM1DPFb mwxpOBBC7VLHRmMSjB4Zcpr2amxr2BwyVVutRkM1vfYq7XfH1Cnxe+rAtiYZnCuCPA349v6C tk/NCptezj+PJ9S50JbzcHwTBmSjS8LAczIMT/bLjYxlvkCjsHpQZtmiS/lLsN1MhIIokqZZ Pj+cXlFRJ4eG1MV6EvAo3M264x71asGS9/48SruykZ7/lrorh4kmb0n8t7q+xzntU7yJfHQ/ JnnpNjK+N8i+caBVM8zcQYBQDJN2dmWcfelJ2lyKwVLaW+o+8TFKBH5UUOVSb3FOHhhJkRaR Mo/gZ7lw1j4sZ0T5yIUFaBMoIGGYRzfD4eH7amJG5LSQu2LQre467P2vN26yaD+3zlwsjJqt rudG5RoT6GAQCjIpC+HqDiMHyv40jnjMiaRgyCwsQmW5qeuklZlTIvOrHBHAYmWoiF7IrDAx +GsstcyB1+urO6pIME0GgkdqDCf8tGd/A16Ympc56eGCsYx8Xp/EiY1y3clsqapWRezhZVFo xiMSrgdO7GWJBbshDObxxgsiEkhVRh2JYQ410MSrbed6ud/zxUufIUxGNIYfIjRC1RwjNJ1l VW6fhERIk4RWvpPlc1+OFBbmEBXTqqZZe6MRsIRJNHwBlqVTGUmF0UVXwpJfsBGwxXKjR4dy WBNemSloPmZMbrs+wFNltMxqcXdDDV0upcP6Vna+FHUlNylSZX3iT2T+UoHATiM4NCgLvfAo KUHFTzJ6CWRBIo0m/FWajhEsDCLNxQRJYoa7eWZGUC6OlxNHSDVtbp50YwM/ykTGk2kQc2FU R47kV+D5YVjCNyiqmevNLVPRiwLShQXoTUp1meQ6MU9ljM59cRKX/iKAdT0M55pZMECggTKY LzCukHRpXmxLd9HmbW9HgkSv/Qgpb5IkWYa+nOehPWELFo41njQ+x5zx9kyYlTg0ZDWbuQ+J aeSpNInHy33n77rXtKvDI/pa8S1INiO70F5+uUWgJ+EGLnUjQ28Auf/8Xd5XYvAqQrlz8ly5 Ra0ZacIQktqlfbJqKea7RUZfU4HIQH/lQClZe+3g1wUO9QKHeoEaqy5Oe9Ww9GPuD0ajsHEJ LenJ17mnKI/4275asTKa8w6SdZqA+Rlw1IHZkEHYpYEHGhF01ECPftomLr1AdCtRsa/1+6Xf ZH98vd0XyDac9PkzeKDESCpqtdsZX4+UbwWcQmmvq1+OQ5SwJIhBVhJzf2Ee22Cpj/EVSHQY tCSsMU5u8UlcLljf5vubuDeY81z0EMmMg/DGo4u+8WQ73BStxDYn0LtIbf+aJmL1YP8iiw9g 9UK+8IuutThQoND5787Ch0LbSSaTG6D1drsQJFL54Jw6nqYuwzHLqGnVYoheCQjRAO+mW9M+ 6hAPZsGGlqYuEINSaUNXQ+Sqh8HGz0LnThNuqTBfvQDR4Ev4c/P5VtIJtw5HYA/DZGspFvZF MnReEtlBs/LPrDVX937/pIKlLBhfvkx/OO8THJo+exuP70vttiTt0clsPO7SzVd4CzUUHH7H YYPg4iXsM0y6z3Guld50cq48HjF4QqFsdBH8XUN8uYnnpwgkNBxMKH6Q4PkPjp5ffju+nafT 0exT7zdKsMgX0s1TnGurKicYCwunZlujSdO3w/vDGXZ/4oP5iq+OIE5aW2zSnLmJVNcMTsST dB5qRGwMhBkLctUezpmgjoVe5lMb5NrPYvmDNZ0uj1K1zpzwi6VcyBgbV3utVCz9PJyTw6pB klsGSyfOA/FlbYXEH62XYHkQAUlQ+9yPJE7C85kZm5Xj2RZgZ6GV7fOFT3u+IYJWyBj3lKfM e8Z7gSKQH6lXz33t1ZygKS9zvXrabzdzIvO32BS0DETsW+GwlWWL2uxsLRQFMfS9thZGNulV qlXwW7wbGu0CxLF9M83sxacILKEo94KC8zt0clTyI+NeVpUMvyeNFFFQ+H34rwoZrly5GJU9 HfbtTCtDrlm9YNE1lN5NYYjoT8jVuYE5otWvqcJvz/89/2YU6ppXHboI+hvb3wMjVRmed2xj GxGFbTz4u8QYXIJmU/CV9TX2cziGrem1JNb3BvgtX0zz38r9uaDo66TMHOribOvQDvBCvLTk UcVjbGzTRRc8irk6sYKKRjVcLYT7gR+ikFYzOo6Fx5f5WZDIsdS41Gg/xZdK79L9plgRZ6mr /y6X8rQAAhxkkFaus7lqrBXidrwb109X9JBxA00JDKrDjyUeENlb31mX6RY3KhoQgksVqeuE 9BbJ+bajHWcaSkdLpV2cWj7eSKaIcX7jC7x/UT8WzQcWXzrQvxzb5HRskzOWw7PhR7ugmDoa smslrxzKVi2FM7FzJsoAUXhTEoNQE+lbCp6ObhVM+5ipQhbfE02IsvBpIn17RcaUwVETGd54 fPRvqkjH9GhClLuzIjIbjC1NPRt1rVWckQAmqshwZuvDyVDlwFEHB2A5tTzQ68vucDqrp7J4 BDtdfo8m92nyQP/6mkH7P8oSlIOYzB/Tb5zQ5JmtIj3adUcRoayjisBIfek6CaZlRtAKvRYI jgDKIQmtV/NdP8xl21xLj3O/yBKCkyVOrmBhN5y7LAhD1QZX85aOD5wbFUHM+DX1ZOAiOiC1 vzYScSHnjVM+naxoXmTrQM54gIzqqNve1YSmYXh9uLwcnjtP9/sfx5dHKciZ7/RB9g206iXT 49teL8eX6w9hzj8d3h5NyAiOV4wQUJF6luPX6SHer29Q66j2g+ZIL05XhMRQuodD3acq34OW pAMvavhvGnLEPZ9e4dD+CfOMd/ZPh/0PkSp5L+gX84PERos3uLJppabhPU/hqjk2JC4cAgNL IHQr5G2dbEFP9KU3x5vQILXoKH7MLRpQQAwlgvLuwlGIhI0RglHBcnFrLd22gDouivgy7c0a TD+Ww2thhYtAP5eV48x3PGFGYTIsZlxwaNW7aJ6E6umKIw9vYzKtuQk0uILiMUKprqTWYKAW 8vySUcAiJyehjHUR0ToVdG7zcejisHHQ80RLiitqlKC5Vih/GNMlZx7l2Ufw0CLDjkjE5sZJ tPmX7k/Jt0KWM+PnlToIBf2LgsXW8Q5/vT8+KjOWN7C/yzE9jPklyK1Tk2tt2bDq0XHzQIlv SRNYymP6DkSUmSWIuW0AjApmMv8KfUOPZBYWc1MZrwcFhkhXrRL5UQj9YpZec6x1E51eMOWa SbA2kVneBvPrOsaVqi6TzclH0yVfQG9dfFWyeko8nayVLYIUYeUIqJO81FL8c/EGeaFdPBNs W0m8rmuHyVtP/bMpjxNwBGb05bzgJ0VuMeAKfhCr6V2bZlq7iQS7Wv1qC4ff9fjF+wsnwyFK tTuXDGJY14oIVIIShr7e6GwlIIPExTZOtQ4Gbby/ik1idf/yKLutwXm3SOHRHEa1jPKGyYZM prKPIVRLJAumsMFTSoVdGJevApaXtsMyr+LzxZPvwdDLqiObJFXXjRzdyCpX6G+UO2wtN5RY 3BoWfw107pdev0t9Yyv460/UZPUv3H6DtRxWdC9ZqjsMysKKn9C2MIWvlymY9Tc0ZAZN6JlH c062XxmIp8Q648eeaR9WRhu+dO37qQZdVC3OoERGqekVheOx3QU6v7+9Hl8wAuntP53T+/Xw 8wD/OVz3f/755x/qSBXlcqiXVqmTrQebxiBIfhsvAz/dvvbnoF/k/k4BiBPzqoJq0OkW8e1W cGBTSLapI3srCQFel3pXk+oHKpDZkhXDWu0aTC/0/ZR6EbaYkwawXYcL3NeY+s4SZhCiZRt7 XvsV1YOUroJDhavcypOosMDnIaCr73swpDJMQ0nnu6g2P7G3Wj8S/m3Qz44ZW5+e7aYafgFn 3HgjecErWNyqGwjkMoXhgrYMSy9oPY35MHMLSqmxNSqIc3CF0tKgyNeelTigx2GTQ8vWE77f U57MFJwFJPnfKGhDMUy/VXpixjXEG20lLPWwQ6ITP92odZuVfpbx2ICvQo2l3QqE6fOmDBpF YvdOS2pYq+uge0qDz0SN5Lv/ooiFKs2FMht3mTnpipapD2MLrWUJZrkN8hU66DH9PYIduUkB uzYccRIl7SOKoKGU9ypKgpIa50YhMOyyO43oVqWJolumeKGrrlhItCyeooa02gzrauD5PIlR bzAbcgRGXXdrRwsiWcLUs5kwMqgmDFw+sgVmVywdTMK1J3uscih/nq6KKV3L6Uz7hHk7FGC1 MmZXO//mOWxMttnH40tgg/1fY0e2G7kN+5Ug7wUykwPpwz7Ix8xoY48dH5njxZjNppsA3WSR yaLt31ekJJuSqCRAi0VI6vJIFC+Rw0hEx9CM9uriPYao81hCbsor7/zitFf5Fkze/mKUqrpe khr1FHmjsB2N2EQomhGcmpUITmRXsqHSiO17WpkWQQ04BjCsMOjLdxnYzSKVYKDGGRJ1PFel aG6CljaUkfe544oxMiA6T7SOBN06igXbt9Itor88KnBrLKkEAZXwiijGeloBKXKiipxWKpaZ ozjB3+8pS30CSoL6X3Zyn7vCO+JoZyEx71xEMlHI5bqMlVPXNOu+4L42UeUgqHyQLUolG9ce BNsz7QwN0wsEmZrLGWVhmhwsF02xM0Yv2ieFQ6U33pXoUGENiyzhJHBMldahM8kNQ5kQgYxG TlRW9eoABF5rI+UWyaLo2aOAuwGyhEYuIUgOADsZM/QPZ9vrs0lA93Hqk894nDkNcx67rpTS eT5NesTCcOxHJRSRcp0jRR+YKX0KHD5Qrpwpqtm5wgSaQUFfcr2ZtYi7vtVZLeEkoJLN6ht4 P8YlunKSf2lb2B/GYhYRgOpeHUJk/fGab+sNBMA1Q9W4JT0sXFso8V5ncg61D/e/X+GRWWC6 BccosRyov7SJgGwxU0ES7AEKD9eI81ET047jtFBZNc+8QUz45ASfGFy+G7KV+ilyXUk6okGa +F3IYdzioypkHryZ04ZJexAnysv2ZwIeyMrBoKcD4mVbFdYMGs7EhkpsFw2vgYyUoKrFjjk+ 0lqr79JjmuV6p/U3Nz1+QORbLtwe7HMDdkyfGNbb1tSQpYR3jD7Vj3Ncji06LC2UN1DNUQsW 76+9LUUkFHwkUWeg2kXy71kaUauTXVYfDFZUIqsjKVFHop1gk5nDIVr68fUjcGjVZSgi1Z+k k0wdsqHnogVNq06VxpJtv8yIBQjw8IoS9BCeSyoCMPcwNISilROJO7hlliP29Onn4Y/j049T jgqksaFdCeexMUcwv+Sd3RztJZsEwaf8cnp8PMycWenXjHVVyHTnTwgcLAYVnYjaJkpGbvkP q+QMlpHrGU0cRqThzTNyldNxvluljqICS9iKFtNdWUHD4PFMvfOhW3rKNai+9SFa6geVjNh7 dQpgay1IX//79fZycg81R19eTx4f/v6Fj24cYsVZloKWA3DA8xCuPjgLDEmT4ibFgoZxTNho 5ZSkJ8CQtKHR+BOMJSSBgt7UozMRsdnf1HVIfVPXYQ9wgTLTaUUAy8JF5ykDLMVaLJk5GbgT +mJQwJi5cCqn4ZDJFq83z2hnqJaL2fy67IsAAbI+CwyXDffibZ/3eYDBf8JdVY5wf0mi71Y5 mxvbJsGWZdjfsuhzo/eCLBZ+cFtIQ7+o/f32CMkT7g9vD99P8ud7OE2QDP6fp7fHE3E8vtw/ ISo7vB2CU5WmZTg+A0tXQv03P1MsbDc7P7sMCNr8VgYnXO2NlVCy6fiOO8G8WlCD9BhOJUnD YRdJCOvCbZUyeyFPw7ZFswlgNTfwlulQCXubBh/z6VfGh+NjbCmlCLtcaaC/R7Ypq70Z7J1u ZLNlPBzfwsGa9HzOfDoE6we9PJKHqu9RcCdIIbvZWSYXzBpGnGkcX8+S5ZvRXWURqJNcXYRH L+NgYT+lVBsxL+BfZvpNmc3YdEsETxOyTWAlV/D9nc+5GEV7VrTEEgKHtm3zc6ZHLcJo9Lv9 KuFl7ITpvwyPhOmax0B30TaRBhyYmU7JrbNbNrNIYTjLnWtePqP7a8BNOKzluPu1nIFFKsPT KvKWmYqCDh33Dp/gI7sSUGRwD7nuExkyF9GkF8wslIy2WUjW0OJRBDHZPj4y2VRA1nsZXvUW MTUMjr2lUAtW6xV3W0P73g8YNpozrfw2EOHErw9w4YFHKJkRSxDuYIS+1yxj94qCng95ln+4 kAX+G94sK7FnxNVWFK2Yn3H8QGM+/nDm2o7e57F1gouSATa1zjIezEdjFOvJP/41LfE7n5mQ zKM0JQOrvQAzy1dyTmu2yE21kMytZOCxjWfRkem56OF849TScmmcLzGGNEK2K51vNNxvi4h2 beWcfRUMdn0RsuZiH04cHyTZeTSH5+8vP0/Wv39+e3i1CVH5SYl1K4e0bthAMjvxJvEdXBQT EZE0LvpYgxCl/IuMiSIY96vsurwBQ6lnmSJaCbrvPhp/JGyNPvYp4iYSmOHTgeYaXxleem40 q8WE8i6UK6lF5jpCQ5y5FuN4da2zrPBOKRWRKiATyS084l1d/3n5b8pnH/Vo0/PtNlL1xCO8 mn+Kzg5+t/j08J8kVRO441J/ErqxqNvkRm13ZZmDWRhtyuAiCMOcISXsX6joHbHo5vHpx7PO eoZBz06shX7/pm5/kd6gv9hYwqefNKDAXYSRI5OdCM28N3dEITSuRrkPjMt3WAc9ViRKYyHV PuQjyKRYx5KwFE/fXg+v/528vvx+e3qm6pU2JlEjUyK7Jod6ejTCA2dGoy9tnrC2a9Yp2Jgb TMnlVFgiJEW+jmDV4oa+k/QllEWhC3ghG+1wDvFQaNBLBmNRHhgdkPCaLy3rbbrSEUlNvvAo wEW5AMFIybqdrAvpmltSdQwVb3NAsyuXYlToCEx2/eC2cjVFUBE5r5HBFDLNk9115KQQEl5A QALRbLRh2GuZsNGxqZacp7/IK5hCJqF6nF7TvQIxWO6SDIp/9QtQSETlw/dqKGDBrknbe51M oFwf9LGyA2UfJwM118t2D2D/b9eSZGCYRq4OaaWgAo0BCloOa4J1q55qiAYB1dvCfpP0K/1V DTQSNTKtbVjupeOrHhGJQsxZTLF3aqZOiO0+Ql9F4ORL2APLeLmaHIJEq6JyREUKBTfidQSl BiQoJ+KGnPq2rVKpmBuGWzTCiXzCTFN56YPA9z443AUjG+i3aZeFH3YJIUsm00lV04C/W8JU 14VJWWUPVrEH1yMBVE1G325lGU1N29yCdYf0V9bSKWlcyQxTu7VOjFcLyQ8r0mzkhQqD1kYG VUMch+M9mEJQTJoaDGfwMkVhLF2W1xXhCq2OJvriOBYxUokLgPofG+oZMRidAQA= --ReaqsoxgOBHFXBhH--