Received: by 2002:a05:6a10:1d13:0:0:0:0 with SMTP id pp19csp148022pxb; Wed, 25 Aug 2021 23:03:53 -0700 (PDT) X-Google-Smtp-Source: ABdhPJzkmnnXkEcWYTSbl4Bsib5zwqHU3qyT8SFDyrsUtLPkmSTLYj9K4KkXuPHbl4j9Tvn3fi5q X-Received: by 2002:a17:906:29d3:: with SMTP id y19mr2470862eje.361.1629957833027; Wed, 25 Aug 2021 23:03:53 -0700 (PDT) ARC-Seal: i=1; a=rsa-sha256; t=1629957833; cv=none; d=google.com; s=arc-20160816; b=iamgOKEMPlI1u4zZfmC5PSM6yDfa9AjIaWzdnaQVzToGt+Vp3iqi8BVSon2Hgy+lp4 h2p5WtRQ3R5863HmMa4NNjTkQmjrtYPcS0h6XjQsJjbGt5zpKVaFn5kEQF/UnDVtpT0+ /caUC4BC5OaJiyvBHcq6n1eZfUkIk7u8QbISV6lAtQ97j01+88Cr7beZBhzHsakw7Zgl WWWjdyUBcPqt+ox6KxX+VoRmulUiMyVGlrNYwqCfZggoCIcHWcJdhJkKPTYjjC5DzSys Ezq/0PCNAuBW6EvrJxx94whKJLlmr2w1zc/cP54l+02vb/8jDKy0At1x77I8qahhHZIU Ym3Q== ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=arc-20160816; h=list-id:precedence:user-agent:in-reply-to:content-disposition :mime-version:references:message-id:subject:cc:to:from:date; bh=pTpAzyCWl2hN43crbvRSQNY+aUxkpiUpZLrHyLJw1C8=; b=TBzfElIHnuLRluFrN7Lx6XcoagUZwqdZfkQy1eww9+h//6zr6Ova2PwyUrWwwEQMxB M5HXCLLZUDX7B97jx2fZ4SAXSmUfsxfvFEJjxjYCE4v49pmQ0D+TMEOsm/o/expHilkO 7Z6mDYygmPGzS+wpza9DnKpOgvKk6VutjfwaU71ObfwQUY9WOFOnj9u63EtVLd7K9MWx uTHZk2PbwIO+fou10xkTrEwZrXHMsQd6cMfl25exL9toXliUVI3bAWTqxzl9pUFcE5Up rLfjeDf68svL3PGh0lmQ/SafI4Ky7wq1WsNkMtXgoAHcXh9YfKW6l0NWy1INLZnP8dHQ b9fw== ARC-Authentication-Results: i=1; mx.google.com; spf=pass (google.com: domain of linux-kernel-owner@vger.kernel.org designates 23.128.96.18 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. [23.128.96.18]) by mx.google.com with ESMTP id h12si2154481ede.98.2021.08.25.23.03.27; Wed, 25 Aug 2021 23:03:53 -0700 (PDT) Received-SPF: pass (google.com: domain of linux-kernel-owner@vger.kernel.org designates 23.128.96.18 as permitted sender) client-ip=23.128.96.18; Authentication-Results: mx.google.com; spf=pass (google.com: domain of linux-kernel-owner@vger.kernel.org designates 23.128.96.18 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 S233795AbhHZGB7 (ORCPT + 99 others); Thu, 26 Aug 2021 02:01:59 -0400 Received: from mga03.intel.com ([134.134.136.65]:5911 "EHLO mga03.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S230313AbhHZGB6 (ORCPT ); Thu, 26 Aug 2021 02:01:58 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10087"; a="217710040" X-IronPort-AV: E=Sophos;i="5.84,352,1620716400"; d="gz'50?scan'50,208,50";a="217710040" Received: from fmsmga002.fm.intel.com ([10.253.24.26]) by orsmga103.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 25 Aug 2021 23:01:03 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,352,1620716400"; d="gz'50?scan'50,208,50";a="537201838" Received: from lkp-server01.sh.intel.com (HELO 4fbc2b3ce5aa) ([10.239.97.150]) by fmsmga002.fm.intel.com with ESMTP; 25 Aug 2021 23:00:59 -0700 Received: from kbuild by 4fbc2b3ce5aa with local (Exim 4.92) (envelope-from ) id 1mJ8Re-0000s9-Hr; Thu, 26 Aug 2021 06:00:58 +0000 Date: Thu, 26 Aug 2021 14:00:14 +0800 From: kernel test robot To: Isabella Basso , linux@sciencehorizons.net, geert@linux-m68k.org Cc: kbuild-all@lists.01.org, ferreiraenzoa@gmail.com, augusto.duraes33@gmail.com, brendanhiggins@google.com, dlatypov@google.com, davidgow@google.com, linux-kselftest@vger.kernel.org, linux-kernel@vger.kernel.org, kunit-dev@googlegroups.com Subject: Re: [PATCH 6/6] test_hash.c: refactor into kunit Message-ID: <202108261301.WGyZ8xI6-lkp@intel.com> References: <20210826012626.1163705-7-isabellabdoamaral@usp.br> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ZPt4rx8FFjLCG7dd" Content-Disposition: inline In-Reply-To: <20210826012626.1163705-7-isabellabdoamaral@usp.br> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --ZPt4rx8FFjLCG7dd Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Isabella, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on linus/master] [also build test WARNING on v5.14-rc7 next-20210825] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Isabella-Basso/test_hash-c-refactor-into-KUnit/20210826-092911 base: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git 73f3af7b4611d77bdaea303fb639333eb28e37d7 config: m68k-randconfig-r013-20210826 (attached as .config) compiler: m68k-linux-gcc (GCC) 11.2.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/89fe4c8eec63dcabd6d3e8f3f71f3c2248d18dab git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Isabella-Basso/test_hash-c-refactor-into-KUnit/20210826-092911 git checkout 89fe4c8eec63dcabd6d3e8f3f71f3c2248d18dab # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-11.2.0 make.cross ARCH=m68k If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): lib/test_hash.c: In function 'test_int_hash32': >> lib/test_hash.c:62:50: warning: passing argument 1 of '__hash_32_generic' makes integer from pointer without a cast [-Wint-conversion] 62 | hash_or[1][0] |= *h2 = __hash_32_generic(h0); | ^~ | | | u32 * {aka unsigned int *} In file included from lib/test_hash.c:18: include/linux/hash.h:60:41: note: expected 'u32' {aka 'unsigned int'} but argument is of type 'u32 *' {aka 'unsigned int *'} 60 | static inline u32 __hash_32_generic(u32 val) | ~~~~^~~ lib/test_hash.c:68:1: error: no return statement in function returning non-void [-Werror=return-type] 68 | } | ^ lib/test_hash.c: In function 'test_int_hash': lib/test_hash.c:110:24: error: 'return' with a value, in function returning void [-Werror=return-type] 110 | return false; | ^~~~~ lib/test_hash.c:97:13: note: declared here 97 | static void test_int_hash(struct kunit *test, unsigned long long h64) | ^~~~~~~~~~~~~ cc1: some warnings being treated as errors vim +/__hash_32_generic +62 lib/test_hash.c 468a9428521e7d00 George Spelvin 2016-05-26 58 7d8047a5cceb3123 Isabella Basso 2021-08-25 59 #ifdef HAVE_ARCH__HASH_32 89fe4c8eec63dcab Isabella Basso 2021-08-25 60 static bool test_int_hash32(struct kunit *test, u32 *h0, u32 *h1, u32 *h2) 7d8047a5cceb3123 Isabella Basso 2021-08-25 61 { 7d8047a5cceb3123 Isabella Basso 2021-08-25 @62 hash_or[1][0] |= *h2 = __hash_32_generic(h0); 7d8047a5cceb3123 Isabella Basso 2021-08-25 63 #if HAVE_ARCH__HASH_32 == 1 89fe4c8eec63dcab Isabella Basso 2021-08-25 64 KUNIT_ASSERT_EQ_MSG(test, *h1, *h2, 89fe4c8eec63dcab Isabella Basso 2021-08-25 65 "__hash_32(%#x) = %#x != __hash_32_generic() = %#x", 7d8047a5cceb3123 Isabella Basso 2021-08-25 66 *h0, *h1, *h2); 7d8047a5cceb3123 Isabella Basso 2021-08-25 67 #endif 7d8047a5cceb3123 Isabella Basso 2021-08-25 68 } 7d8047a5cceb3123 Isabella Basso 2021-08-25 69 #endif 7d8047a5cceb3123 Isabella Basso 2021-08-25 70 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --ZPt4rx8FFjLCG7dd Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICPImJ2EAAy5jb25maWcAjDxbc9u20u/9FZr0pechjWU7TjLf+AEEQQkVQdAAKNl+waiO knrqS0aW2+bff7vgDSBBJZ05J+buAlgsFnsDoF9/+XVGXg/Pj9vD/d324eH77OvuabffHnaf Z1/uH3b/N0vlrJBmxlJufgfi/P7p9b93jxcf/569/31+/vvJ2/3dh9lqt3/aPczo89OX+6+v 0Pz++emXX3+hssj4wlJq10xpLgtr2LW5fIPN3z5gT2+/3t3NfltQ+r/ZfP776e8nb7xGXFvA XH5vQYu+o8v5/OT05KQjzkmx6HAdmGjXR1H1fQCoJTs9+9D3kKdImmRpTwqgOKmHOPHYXULf RAu7kEb2vXgIXuS8YCNUIW2pZMZzZrPCEmNUT8LVld1ItQIIyPPX2cKtzsPsZXd4/dZLOFFy xQoLAtai9FoX3FhWrC1RwDYX3FyenXajS1HimIZp401aUpK3s3vTrUZScZi1JrnxgCnLSJUb N0wEvJTaFESwyze/PT0/7f7XEegbvealt7ANAP+lJu/hpdT82oqrilUsDh012RBDl3bQotIs 54mnBBVocytSEPHs5fXPl+8vh91jL9IFK5ji1K2AXsqNp4Yehhd/MGpQVlE0XfIyXMxUCsKL EKa5iBHZJWeKKLq8CbEZ0YZJ3qNBi4o0hzWLM5GypFpkiPx1tnv6PHv+Mphzt/ZsQeiNNVww Bf9PV31/CLOrCvUp1JekzFpBwp8xQQLYrRLJ86CZrYpS8XWnLjLLfBbD3rq1V4yJ0sCecRvJ jUvL6p3Zvvw9O9w/7mZbaP5y2B5eZtu7u+fXp8P909eeGZyVhQaWUCqrwvBi4QZt2dIp7kXK tEYKM7t/mT09H3C79USG6JU2xOgottQ8hDfz+Qkuu50J/HEtc9IolpulotVMj6ULM7ixgPNn AZ+WXZdMBfy3e60m9psPQDg910ejREOUUYSybsxmeiF7nbqu6j8uH4cQJ2afab5aMpKCEkd4 ziVaIFCjJc/M5fxDrw28MCswSxkb0pzVUtN3f+0+vz7s9rMvu+3hdb97ceCG6Qi2W4OFklXp 7aiSLJh1OsM8+yyYoIvBp13BP4FW5aumv8jcaoTVdMlSv1FGuLIeLtJUGTvRuOm05GlMnA1W pYJEGmWwxW6Ziip3Q5KyNafsGAWo8OT+aUhwgx9BC65pTH0lXXVsEEN62aOr0SWopvYnVRlw sDEhoL8pQlINZi9KC3KsaduhmBm0hQWgq1KCOloF9lGquHTcQoH7MXJKHcBSZhoEDIaOEsO8 cGSIsevTYNOznNxEOkTlg/VyTlp53blvIqBLLStFGTrwvrPULm55jD/AJIAJh05tfitInPr6 th/TEcrB93nwfauNx2QipbGNCfHDJlmCQ+K3EDBJZcHQwT+CFJQFSzIg0/BHXOBBALEka2Yr ns4v/M4mzWlL2RoA8GQcFclbtwUzAgzn2AnWKzoCZ7U7HwY8zi37BskZP09WlScjlmcgN+V1 khANcqiCgSoIxwefoOteL6UM+OWLguR+iOx48gFszQrjAwj31ptLW6na5bbodM01a2XgzQ5M aEKU4r4kV0hyI/QYUs8Ot4Dh60ALoBuWpqH5dC6gSVnK3f7L8/5x+3S3m7F/dk/gkQk4B4o+ ebcPvMVPtmh5W4taGq3T8NjWeZXUYZmn1RCOEwOR/MpnX+ckiSktdOB3RxIQmAIH1QRTAxya 9JxrsE2gWVJMYZdEpeDyfZuzrLIMcgTn/EDWkByAbQs02DDhDDGmRDzjlITRcJ3ZtGFWI8kw i+mW/OKjp84YBCW4gEXKSSS8Xm4YXyzNGAGKxBMFFhKEASYxQqArEaowBA8btNuehZegrKUE DyuIF8Evby/nfSJYLgxJQDo5rDPo7lm/bEJUkVVbsWvmRVNo3HiRyTYUcrpWPmwPqF5dhldD 9893u5eX5/3MfP+266M/FBnkvlrzIJaiMk8zrmLmDlqcnJx4++zi4/r27PRjN343kv62u7v/ cn83k98wnX/pRwVrCgGgINf2FsJwCUqjIB/3F65JaxNuMs7yVIfL2mDBVqZ8fXEeRVZgacDc OGV0jInt3V/3TzsngHpbds45l+Ys6m4rCqmVmEClA1SDSBXoenHaM5WCIKlB2wURDSQGg/Q6 pyMWe4H1w+FiR0Y7x0yCrnQX5RMxu4tXUQCFVq4vOQAAfdrlyX/nJ/hfZ3iAXalC2hVTBctr GJI3o8np0XwzAR+DoaWAUYJvmIcyTecetGZwXjPYRwxE1BzFYgbZ4DxBa2IhWLXEOafOjAz2 im/Wsz7ar9X6+V+I8sFob7/uHsFmz56HSl2KoOsp+qAKs93Dgh92dzjU28+7b9A42jdVRC8H /tgZgwFMQ1yZeQqG2b09O4VthNmx9Yydi1KwpiRk2lRrhu02BHwPRrklUeAc25pOX+kxsk2j /U6hw7q9LhlFg+7ZCplWOdMYKLsAA/3tUeyQX+wW9veyh0usKvGFrmC0Ij0bIciguNJ4yVom aLoHk3a1NFciCK0KwFkGk+HokLMsiN1zTCk8Vx3LAHr+y6ywa7BN3a5fULl+++f2Zfd59net fN/2z1/uH+q6QzcKktmx0vc+8Vg3Q8f5A8XzEkSBQZ3v2VykpAVGnCfh0qG8rYukzWhVfXk1 1LUXyCVJowa2oaqKYxSt6h7rQSvaVo+B6ZhL67gfst3OiLIopo66R+O5uIfMj46EFKen59PN T99fHJ1UTXX28fwnqN7PT48z4/bUm5e/tsDSmwEed4zCelaz14djdPhhwjdJeH37U2SYyR0j xHByg2m+huiwz94tFxh3xTYhNIRQKcFw1MB83738ef/07vH5M2yUP3d9qRr3s6fvkP9qiAPA Hl1VYemyyYwTvYgCg5Jxn0YbtlDc3BxBWTM/GdZ/kACjpbhIXIVIpHg8UJvrePkFyTZJLI6o h4CEIvAfbu4shTyY5EOG6sMICK+puinRyI4ypHK7P9yjQYnEXODruXFbMl1j4h0rTwmdSt2T eklixgNw73UHI/rzEFd2zaGNDKfn3HZdx5d9Pc/zvdCOy7rukjLiRNxXIz3k6ibxc80WnGRX PofhIJ3r0cXcDwudZHXJC2f+wLtwdTXCK+CmwR/DRdtuQM3YVGMf2bR2AmL/7e5eD9s/H3bu aG/mstiDJ6oEshFhYLcoDv6zE1Lrtlt8lvsO4kdAPHtal3gKVbrzKQx344Tg8keI22i/YBMV rE2D69W6xk5UDjHUSit3PNYt55RI6nB+9/i8/w5R/XTQiBzUxd42gitzCExK42QPgYe+/OT+ 87fOAtcXbRzYvQifqOUWYrOkCvJRSCldwsFJbo3iwrJrl410eVfBQCQlUy7eWXk80ZzBFiWg zj3stpTSC89ukyrtF/z2LMO16L/BbtlBsRgGwnGmz0EWVemOiqLBzrRo+9n4RYxVAtM1rGjj XLc+xe7w7/P+bwiQvIXx5ExXLF6Argp+HRG8gRz+0ftoytxeqQBgRnqA60yJ8AvjdAx4BlCS L+QAFBYJHUhXiS1lzunNACH4AgsavvzrBiB9rg2nMW9ZD7wcdAVOdgCBFEH6h8ZY3F6xm14U DcDjom2elq4ez4yOAiF1Jv7RT72m/YlPWZdLKdExlwbo1rlATljVxy5+44wnuBPYESVshyjx nBtrNZNkboSGGKKL42QQjyZSx0v8QFQWsco5ipGXvPRnUcMWCmtVooopZU1hTVXUGXFfGbwp wKTJFWexxa+brQ0P17VKY10hJpNVdDoNruchepaCVL6qOUCgai2k2yCPnsgaHARQNCY5Xs8m VFMHdArcTcjHRIFOHwd0tIyBUVBj7bWKbFrqkHsEwhpqo2TsEAZHgT8XnUZ7RqVFJcFJawul FcI9YXWYDYy2kTIWeXU0S/gr2nipB6KOkNwkeexMpyNYswXR0d6L9bF2WOrHvegLsUPmMQXw hiykZ6Nb8A0D5RuDeQ7xkOQ6gkopSiYi7nQRZStJ4hF5e3kBFuko3o0XqzY2+MG4LVjBfI+0 atm7fHP3+eubkG2RvofUcMJErS/iNgPWJTQNoozzDbR4LQmyCyqIWoVWpjSlravS2U2AcU3K ZX3FBKy2KAf3L4Am47mZSn/KI0gwUCmNmw88IDfBPsBvmyYLK5M/aBG9JuEo2tVxdtYuBaEo 18AMT9ENSwg/boEJ+hQnP+Lg2Mi+naoHDwyb8svz8GGDnYGAwUmVwbtbj/6XFQz6RKMZUlmX W8pgRyEYGYhwCLG0TwqfoEbRU2hE5cRlcgG5KGXMZCEqUacXH72zhh4GClLrlVcbPXX64n11 t6i8ER18fRZbM+NJIlE8XQTWroZYvhCgmoWU5SATGBKuYa625jGeMzR0Qo2GtTTzQlTX0ceT 0/mVP48eahdrFXcLHo2YokkZLVhsM+V5cDwFn7GCFjEk9ywJVkxICZFbCOZl6quZ+8QqBgkC q+vT9zE+SJn4Ey+XMs4wZ4zhZN+fB3FKB7VF3vzhLgaANSuAy6MdNUGxV3sgtBvCM57tXR6X y1y97l53kOC8a4oOwV22htrS5Cq0vwhcmmTUr11mmo5J6203AJbKr7S0UBcfXw1jR8SoaAmo xeosGXems0ALW7BhVzFJdugkG0+MJnoMBF8yBhriZjaCQwyejllMtfNuI2r4N7zi1TVQce/U CfAKhz8mqVXSiH7Uli7lKp5ztBRX2dVRPJVp9MitxWdXNUl0dLKKeae+aWwtl8v4Ha9Oy/jx CYG1w1rykXHLvBpGEM3ix1O9bqFqBzwqetKH7csLHnsPzkOxHc0Hd8AAgOcpnI7BhvIidbdr gqER5XLI84k5IUG2GcoSodXZ6eSMXLd6PZV2tuiLMZ+QjEVHG99XHJFMXeDzu54I1loSgbe1 46c6Lid0+JDpGtbUEfvb7B6KinI4owZTJDdmSokbEpBydDwBbmiiV3zTcLxTSgqejmVPqAmB AKgLQGyoN4jBw9CJcRAtuBrZMIRrCLPzaIcFOdZfiU8+QtPnuuOijEBXSUM+GgWv2xxjuxzu KoRiuBHr7JjONXyIaErcEvCMxfqtywVY5jrSdjGowbmyRMbcoOAmpsowNUXjdmKNG1sx0d7Q tv459k8ZzwJXkdLYbbG00Hi7SeK7Dv8g2AjiDnD65exh7Z/rIG710NHagEeQBnX7Hl7QiR7F sA4YI3JReGRgWbJirTc8MBfrtjj5OIS0KVAf3raIHKLxBEzLRGGey1ivIQKPQIUcqm/Oi9VU 4jPeAwixC+2FYA6CriO4P+mgvGyqXcG2LPx7FkutBtrjZAUxdgjOz8Ama8gzbIC6Uv6jJPyy WngnBA4CTAw4oNqvP+IhrGQCDzrtAudI6AR2xViJdQLvBADPU9R1/bAH7+QNKwfNlXBXfohH WB5FXZwY2EroPan0jQ3vvCZX+eC8YXbYvRxGgXi5MgsWHGaOyAcI/9yin8eSCEXS+ARCkwif WI+M36EHXEJjZhcxi82wnz/mn84+TVBzLV0yXIdHpJilu3/u73azdH//T3tD1iNfI0m8p/V1 PQUPpPMRCBVvwB4lOcXLhHibO5r/IhExn+ZhT1nOIiNWxTkPQTQmWgeE8JIYvBIzMSalHz6c DDpDEN5Yi4Hb7kIczzj+m6UhWNgR8yJgajCxPwhesxvOowEjRxOTaCkmupWZMzmeAlQavAxe dv6yvduNFOAjJu6OJDoaE3hFLBmyyXSK4HiI6wgM0UD1/mPMTzqtbvv1YKs1wUcdI7igCYlx UTKyGvIeEFQD7e6fd43lEio13s2oDxSDl3iRDdWZHi/6SvBmOEt99w0WK0NPEwFZE9xPgbYF C2LiBgRysMfqrQ1VqaSRPyBc8jSeLSAunooBJo9F4w6eBlfOACR0NhFoA5JIXQYBEsD6Z489 LGPEVO60ra5o1u8WH153h+fnw1+zz/VCfO4sW98SL/fk4XpQEXwrE+KvKAm+l5QnZqBzHti9 CmruQcYn2VHiyN/jnQgTi1x8CmXyWGMd9zk1usKrvSO2EWqX8QtsHkVC9bRmNDTELM9WPyJy S/DDnhYX1zEL0cyTitOTs+vIEpRgA4+0y6ILt4b/xdsItQ61AQEWhRxA3bxDOrMaUV3Bng7C LYA1d6Eee0syqcZtK5JBjKPKIP5uYc1DZgh/dXyzdoSjCLwjUdcrElNdaLry94o2ihHR3HPr t+eGK5YH9+tbSJj7bOBrcG/agZpXFCGIe0EszRZYcJ0Hgbmr487dTRVIHGPmqG2G1pvlEm/Y bIgqwCfqcd/uliGw7d5K4cUFtkiTCBlekq4vA9ckmHnGumvPico4cmDhOgxVKYFIp8RbRhH0 JhBoU4j2gqcW4m59KTomBaCFUAxXMo9jW8Z/iuryzeP908thv3uwfx28c8yOVDAdv5LRUaDH OE7RSCuWfnnDaLyehS+cB/lF2A1QFrEXPh2VNsTdynWvZOpHEC2NylbczzDq79blhUBelJUZ QRfluED8Kfq2mPDMD3x4Nnp1hjBoPwq6ATwRw7FyaeursT15A8O79xB6TCXpHRlqf7woUWQ0 +ICMecENyYM9C+AiangRAybZy0IzPA5N8+55VbHb7mfZ/e4BH+w9Pr4+NYXe2W9A+r/Gcnqe 33XARdgj7qr5yckAWLw/P4+ALD+lI/DZWThLB3IBaQRcdxBMX3CqpLskCsh4QQwZN6dz+JeM ibpM9Kek0bJUdqVET/GwoNafm26G925aSPNDEQ001WDCwxuJkJ2DggRvQF3S795a4Gu+a8GH FTDEC//2dkZ4LlGhPHkxszRS5m0NZlTxn05nS0qJGr8cdY8w7u+aFuPncVX9lmTJ8tJX7QDc XGH3fjNlbUQZvktpYVbgq5ToKTMpUpIP7vXDHnQDZVwJcFSs/u2W0Syy+/3jv9v9bvbwvP28 23t3WjfuUYfPegdyt1dT/J2FHgm+RJFuNG9OfSv3sn4ojygaVjDPk+CKcE/XPi3w86fhNDr/ j6+fMBP1rv228Yh7eBDHxaGlsFdSh79/0t9ogG9L9E0BxgriDRQSPlKI1WEbdPyXVLrnqWXl JYr9VggvBEPUELxMrb9DY9PAdM4Fth3CN/NRcyH8U9+2T/8COj7Da65fgxZk4aVMRGasoLUH ZVGbM7F76kzs9cUzwX3sibdU3eMKfH1s8/iLzsTMLSnjqbvDXcdcxpJrnnP4sLn/i0QYcluW cO8wCA8+8Cm0sLUw+9BgyREUna0/I89fSjCJ+EgzyuyiiJ54ChP8xAd8OgXSo53dv6L4tt2/ DGwaNiPqg3t/MTEK5pcXZ9fXNc1wTO+ZymQHMmvaPsag2P/5p5OPXkjoY9FI6xsd/OAGEtT5 guUCTJAJr2B6aKNiWRwSoNaWOo9xBtrsfmniCKp+BSzVTfO+6O08HD7owr1edo/l4w9jRvTo ymWR3/iWbbyMbh0r+HMmnvEFSv3DA2a/fXp5qP12vv0ePn7B1cxXYE4Gwhw8ksr8X8AosrBE gN9WbSIT4UXQUGWp66nP9HSWevZIixDtll2W4Waql7J+GwRGpj6NGOm4IuKd+n/OnmW5cSTH X9FpoztiapukRJE69IEiKYllvopJSZQvCk/ZM+1ou8pbdu10//0CmXzkA0k79lAuGwAzkW8A CSCr4rfd093rH4uvfzy+mFYbPlt3mdrwz2mSxnyDVuGw+14JMHzP750qHiJlLgZAlxU7R5bI uZ5kC4fwBUQYnVAjyyUyk419WhVp21xUDG7Q26i8AWU5aQ9XdxbrzWJXs9hQb7teM+VSStAt PaoTM9pXckSTAZADckWWGFpLrNq5UeBmJlSQn42JUCSYncaAgxwWmdBjm+Vqj8Kk1TnFCHwb m9GWpSUdPzMz/ftMBC8veL/UAzGuSVDdfcXsDtoaqfBg64ZbNX3bPVwYShr6GhXgPiDb2oaB rKKv7WUS1GphrSX0och38Nj3nDixDR4I+JxCZ7Vlvu84lo+OMZw3x844TfIIsyORnf9e54rE Yw9P//r09fu3t7vHbw/3CyjTtC6rjavTCG9VKSGF43OcPsYoaEzK665NxISbYPD3ta1AnRYm iZWzWWvYtOHh4Yh1vdA4MbyCz3+hNz2+/vmp+vYpxqYbSpT0ZVLF+6VkvOSOaCUIzcXv7sqE tr+vpr5+vxuFWg+KkFopQjQrIV/6ZYoYfbh7sMhhcxERlDbZpic1kuPJSFCU2bHca0ddj6za 2la/1+EhtDdmnrKJnHnjjCMxjWPotX9jApLXny8v33+8ET2SxhrHAxQOHbx7LnSzF00C85Q2 O+j0MKzkGqKYHa0SOJi8SXmN28F/if+9RR0Xi2cROUge9pxMbd6XIcHONpVlq/cLVvaIrSZE AOB6zq/tAbTRA4ZKaiuJE2zTbZ9z1XPUDkIsJvEsZsQGpNnnR1BBbBsXVtFLccqXhwvo0Zo+ MuhnrTT61U7+HYMiW121BTDIsfDZlioNsBj/2jZpqpQE+1h+oVE31fazAkguZVRkClf8DFDu AQCm6KAVJhcBYf+E8qEcfSsQaFJUYGgREpmgJiMJ6AIVmdCtD9aXrg376P3yCF0Bf0gG1URk yZnUzJ4UnYhoPbQnSJoteck3VLVNqGLpvZ5zgf4ncXKSXFoUcK+rs99DSQlVCM7cHEfd3rQR 70C0oxkuT0p3jGxuR//18lSkCzbuRpNKAfCrJbKIo6Jmn6rehBPY6F6CZIh7G7YUmQ8hIT2+ fjXNvSBwsapBHZQt85PjScJelPie312TumpJoG6mTY5FccF5S+lNMdssPbZypDsXDCSHc1l2 0E/LOK8Y3lfjZFcNQtxAEVdZiTZTyRELwbi3NHKMTlQnbBM6XpQrulbGcm/jOFQAi0B5ko17 6JoWMCBPKdFUPWp7cIOAErQGAs7HxummUg9FvF763gRImLsOPaV022nYYV657sqSXUrF+2Ma gCso18ptL5p74AeGM1vdPDx9ZxDHa1qjsG4crQIOw+cpsSI9WKRUJrjr8UXUrcPAn9rfwzfL uJO8tXsoKFDXcHOoU7VRPTZNXcdZ0cetyjxvUPvw193rIsN7t5/PPI3h6x93P0DIekODAtIt nvB8voeV8viCv8pZh0HpkRfY/6Mwas31i4jzFz29Pfy4W+zqfbT412Dlvf/+n29o6V08cwvI 4pcfD//z8/HHA9Ttxb9ODEboqxKhZlZLqyOND9LN+jhBVP8gTFwrJ9881VGpptfrQdxaSmsI 8uYi1IGYZYPkakwhnp6mqKTNu4myhGeCl03Aijcl/6a/0pB543C8Cr/uTMsg56KvfvH29wv0 HwzIn/9YvN29PPxjESefYJZIvTjs6Ew+Vw6NgBGZdFgjHY4D3Z6AyV66nONxqzPawpWCqLSE c3CSvNrvab9AjmbcOxAN9MOxxPuhHWbmqzYSrM6ovr/uYhKc8Z8UhmHefws8z7bwH4HArPlq Fn+BauqxrEk70tph9MuZp6a091xCS+fUbJXM8W1Ei61kKLo4j7kmpoSKw27GxVfqG0DicwiZ EusNsgpfAnIAZu+s3ddCciWGxyQQOYPSNF24y81q8csOdpEz/PtVWp9jIZhM85zpSZ2HnEBz hSi39P21Dn1heypM9r69/HyzbhuacwD/U7gRPKuw3Q7FZO5bo2RdQBzjdvMbmyoiiIqobbJO JxrN0U+YzV5xCFW/ro4sFQ4GJBzvlY+d3pARy2LQIspr97vreKt5msvvwTrUmf9cXYCEtF4j Oj0p0v4ARC+JZ3kU7NfE4hMQKbaVdl2sdyOyO4MHTjGZC+0IJ0h4EhMyYlWgq2N8EJ0xNUkC gsAahMFmDqdeISr4BkbA1eVchYLLsEVneTdBpjyCVp51cUZb+2TS7dFzHZdO8GrQeZQXu0yF L3JgOqMsLsOlG9ItjS9hDNq5u3Lm8HvXteLbltWa+YkgmOlKQbHiZbzTJNSh4cS3lXSIipod 6GzAMl2atpmtDJBi86h7dwgEGWorGRkNrdB28dJxLB24O37OWnakO29fVUnW0R8esiRVXZ0V 7AWA8HNF+4jKpKBbwHSy1ALINr2x1ZKh+PVO8WzNLsHapYvfH8tbNTuK3G837c5zveC97tUC 6FRc9e5QniPUJM+h41C5JEzKmakMOo7rhu+WU8TMt06IomCuu7LWkOag84JAX1NhtQol23vr pWXZF/wP67AW3fqYg/773thmZdrJbhRKFTeB69lqqNPS5uqjDB9ogbvW75y1pRnZvmpoFP+9 6fOmkzzw388ZFcKjsMr3brqSc9KGQdfZDxJ0Q8d7o4plrWWDLDoQkZsomSlBbDb054gHHe2z 7DGm45eFHZe1M8i0PTZby/gifli+FnRSxDiJXGem+kbMRDtBkqKGezPDBF5PYKrA+YLwrbLa jv6Mt+/xTFfkM/2QepkdeXtpm6rM5spu0Yy38hWvSJ1oZqnxMkDtG3rAPt2z1nMpI5hCyFah bXOC0eRnXmVFe47TDTqQlWI1hwxoJKY/YzSKgQYVJTYcsy9P1rre0rPhip21wi5c+7ZG1Gzt O4HlPL1N27XnLS1IkcCZbn51KHrBz/J19oX5XWfbcW95Rk1asOlldjqZaFNkK0Op5UDN11ZG sUIyM3HIzpEcgQeIPpc43Et6Q5lO77oGxNMhSyUdcQ+jjsoeFZnkPh3n0yN9Qy883P245xa7 7LdqoVtZUiW5DP8Tf/JohWcVnGfbmnk6tInO+ve9xQ+JZRMSxwGw0JJ9aBRREyPVHEW91QgU dJXXMdDIKQ/7dmG8ac+WguD+DqJtY1VHjiIq2UdFqgZzDJBryXxfcc4ZMTltDKaGZrRlUBYH oez+cffj7ivo+OatiRJteJIDTiqYsTn3Bi2ZeM6OyZQDwQQ7nE0Y0E1gTPKbKCHwmM11E17r 9qJm9RePGSKYHNU8QfMvBt3pCep7/40fj3dP5j2z0G3EHWcsJ7XuEaHnO+ps7YHyy12EN5lM 6a5934mupwhA9HMEMvUOHZZuSEYwTAVjXWmGyuZ65A6PKwrb4OuIRTqSkJzypLwJ6eQok0Ws xuTEJz2OUOkeysFQYaj1wrCj21kJDyUCA8vSDbuORhbt2g8CG0cwsWp8Y/MdvmAypqWao1NG c7fld4rYxkXgBa7BJPrETkHZ4kb1+7dP+A0UxScoN+WbNwrie3wxBkpwXHNKclMNMQGFCadf bNbtcCSsE/KRPpkEdgc5FUiPK1LW534n4FT9Klmc1yxwXXNcDc8bFS6ms+zqSOGNFcEH0SiT Q0FGPRJjD9qinXtAyjuI/i3ykGseSDoNO1wZGQPV4w8Mp/7SI6a+/ubMCJS2XmNYGOV60CNP beg7DvGVQLw/mpXmYDi0Mdtlp9leyGF/zOicZ0MZcVx25EOLA95dZyxQRUQdZ42yGiZCVmzT JoneWTFCQvncRnsc4Q+Q6mTamICOHPVbqorpb8ZrxksgBkYl+MhyL0BSMfgx2G5mu2nHcvTu x7Qc8y2Dv9KOB/Bk+yyGA7ox1zPG3MQGGA+8W3fpU6PZFkub/IZfntLtcegvCmXIJcPkPecG GzAXDDoMyZ1ZYFm+TUEaARHQcqmsSSQ6j3HbjJGhKqoUN6hJJD//WV55WOQUmHjdMzkNJDo7 oVw3eWqchvgmgnv+YgrpctY7Chmdl9VFNrxbrUHxyBvedp20MY7h1+48vI1W2ZBIXLJxN+5m p0UhyXTybboAMDlaloP4a+JJpaSKEpxgartqt7MVfhOz67aQrBu9CIRwToDIqfNrEABgm1Gw f1MFXmP+0gxALHhNd+yrxQQWU7lyU7Yf6S8Qv/WXI0eQeAM0q9AR79nEbqPV0pXrnFBZV69I O/xEMr74QnxuW88ThZAxCKaK9oYuM+0uZUW+/zWS4FhR3YAB/G0lPy4z4WJYnLJMMmE6EDHT RsksCOMBfUlei8O/WvEBl0ahtn6SMd30JKAGAI+5a9zICoyMESIjiYJNPStTNeeZjC+Pp6qt SKNyjApeXaDPSncxS2ftcnlbeys7RjVkwcmWX2ArEjm+poEa4BpkSOsxZOMxlFzJ1NF3dHOE swdjt0RUqnlpD7KCeVcv84g9wu+K0TlZWsfY+zycQlmjCOUvs5J32IAtjt2gHRQ/n94eX54e /oIWIB/cN59iBo7qrbBA8PybKegwKn9QqDhNCKioUOEQEXkbr5YO/ezZQFPH0cZfkenJFYq/ qArqrMRTbraCJqX8gBDLX9gYyqCKL/IurvOEPHxnO1aupQ9jRruCOrL4BMxWTqg5AGueJ2ic OqN1BkNHyaE7ZJ1/SDz5o9e/X98enhf/xGjTPirll+fvr29Pfy8env/5cH//cL/4raf6BBok hqv8qk0ILnLq/SLOD0uP9hnX1A8Ahs8Kn9J3U2MjdddlkbYw0DOI53IxwDdVaTC4beKCtbQn J186uBfgRLbNiugEMyJTK0tSTN/Cg+fVnVND8naqwyxhzXxqnMAUaREsTh5fb94M54dsfwD9 J0m1ktDFVYVkxV4vFzXQvKZt1Rxf1UtZdUTY59tVEDoq7CYtavmpKISB3undaPtGu/b14oo2 WHuuBjutQSTQCTums98LTBbmKxw0phaiq5gcdrbNS1iT8vApX9UFzDiLtxSiS8t1AuI6yhKE GOHOrc/DJsu0ZcCWsbdytUHANDOwt+TaRGVZgZd3KqzV/wYharfS2yjAlI8Bxx7LNYjA3llj l13KL0eQILUJqRlPRtB1W8uphBE+mNx0fgb4lRS4gQBfCI1aowvOhdZeofjqxXc5ZeQTmHrT GfRNHJnnfvoXyA3fQEMDit9Ygdv33f3dCxcmCKcxvhVU+KrC0boKk7z0VP7j2lu7vjZLqm3V 7o63t9dK1WCwo6OKgcKk7UFtVl5Up2fehxkGDqFcMhwt1dsf4rzr2yOdL+rh0R+dGq8N1h1f x+S0SuN3LCNPWusZqE7bo8Y8sRX3pxB3fSeIefYEjHrSORMZniyOVxOB+qbbBBdCptIeowlL aVnGmAkJIH2ou6IKnCUEZboAnZz+ssjqjKO0DHWT4l7b4GQE6kE+U+APRX4VF34wnhio+eP7 U/8A5wR+esSQgGnKYAEo005F1rVyGwJ/WlM9l23dk4tsFzUbKjDFJSwnzvmjzzdcT1VqHFD8 KkjuPQmnH8Bjnf/mTzG/ff8hVyuwbQ0cff/6J8EP8O76YQilK/kXVPg1UfOMa9gvVaPaPMX2 840/Y1kfLnm2XaBHru3BpcXbd/jsYQGLG3aoe55jArYtzvLrf9uYxeCT0KuX0j27SRAXsjZl dsT4ZS+FG8lvesSV52qWlDWAF7KPsESPovvuWMba7SKWBL/RVSiIoc6oqz1nIzVvgINIC7Ng RXwhJ2UcgNvCDUPFGj5gkij0nWt9rCmBeiAaLqyMygrY+5fMCVVdUseaGBClb9DrVZngPQ6f XiYN8yNBW+w66sv+1ovcQwaaKk7zirbUjWxjIjPk7sosou5Y2Dmn+pTRof0jOnDIoWCb2c+E 2kMMuDCn7VdUmQPSn23xQEXryeMkigsvdEkJVyFZ+iaTffoeC8INLQjPhvBtiLVHdYNAhfOc Q3XrkPqaq342tWcgii/7EtS6Qs3bMGBLyoA3IWvNSj5hvKuyx8ifWKqK2FINeDR7I21A4rxu 96t4fiXYVZqBArQHkzkAej7BNMJld6txwbGCWs5R/SV01pRLkEIRrsi9oP6yclzK816iwOJN djgisJW6dty5eQRtCT1vTTYyXK8dGrFZO1R1RVJsQLSe363g8y6Y6yVegWthaeMvLYjA9sWG 7BqBohLuqBTEafAlZiuHLJSroIxtQbMrMkojGffOOHBDonMB7oVk37I4hC/m5jZLCnLAAB6u fAre+T5ZVbF2ybffJoLQ9amait51hygSttn5VZ7XEcML98wQyxoQE1/vXhcvj9++vv14olTB 8aAGAYVFc5sXKPq1nCBVhVv2NUCieGRkjR13CvgyLdIT7fwmUzVhFASbzVzvTmSEuCSVQR7K Iz7YfJCXuTN8ovLna9v4lD3aZIo4BqcylvNV0OmtTLr1/AYkEc5PSInwo1V/dPzDj9b8zsk4 EUYfJFx9ZLiXESmcNbeW51glAuo20WQicGbmwcqfnQerD3byinJHN6nIlk7o+EPLY5W6cw2K 3PlKtu91a/ne6mKHwHOs6wexs4LJSLShmwE4KH+m+MB7f1SQjPSY1on8YK6m8L29kxOtZ4pY Ru8NKm/RXHcG3vsN6ZayDct2iBlHTe98R9Rt3qyb5yzatmclYKDA+wHijKsbQhNHKMgem5CU LNDETZQkDOLehtQaBXI9fzz1xvPVvIbXU32krIO2H9BURe36lMV+IGqza4aPe0YXszNGu7vR H6PlPU+IE33EgtZGbkYjAcuTOVFeLojcQieCzuKmT3C8pu8FCUp3bpOS6Dxi85dZWw5myeLh /vGuffiTEPz6z9OsbHtPFF14twCvJ2LCIryoFJdOGVVHTcaoDi1aLyBjMieCYE3vIxwzp+4V beguyWFEDBm7KrPlks1cB2tCEUB4QC5WxGyC2QnAGzJ36iO7a3JHR0wwvyqRJHyfZPMeAxtb Ty7Xc8cJEPgueZRAzyz1nhn8HGzT1igdfV8IewSol0FOWaU4IiSb0hb1KQhmDXL4qkqebZvs KDlfoUYjXqJQATwBFibY7/Pv+e74TGy107Sk4ZOs+cKNpAqCe9vJHI/A64laOhxtJIbkUD1f OwcWURcsncl7R6QgfL57eXm4X3AbmLFr8O8COAS1XO0ie+rgw6EAhS3zWWtFb4e0mV0FTXuQ k0WIhsCH27RpLnWGHh4adnTTMMHdnvWOHRpOeHDoPQ/zq1TfwRXw3vGfXFacIjlrWeBlZJrF QlhQa5N9Fzlg1+J/jhykKw/u5BygoRtzdgmHDA2Un80RySxJAzkyr/ZZfKLMMgKt3xoMUB4B oHdisQ3XLKAkLYFOy1vYpQ0GizqGOma6Xrh0WIvtYrPIjrJ3iNC4An196fFSTKFiWsbydaIA JZHRcpBQIz/xYF+pttQDPoKIxx2Y32bVTNtZiZeGmvuZRlI31M2PwLX1tTtHF61Z7MJiNUaE g21BRRPSDddad/QRzGr5puDHwacMq20zo+JznGyWK+vM6XB9XJm+mEevCwWY1/pOVSTXXXzQ oFnSLr1V/2jbeExZd8rRJ45DH/56uft2rxnc+kzTte+HlEzao0udvf35qvg4SFu4Q0E9vcXc tXFpgfYpTlUmOY5Mqdijd6EfdMaqauss9kLX+h1MhU3/UqjkpaB1mDiSdonZkUo/NdmtcMtT 9mB0XFHnQO8ppm9Qy81qqX2c12Fg9FIvb+gtZbkX6k6bak9g3Lm5FhDsyel/JvDG9TTweTLE D/PP7BaRDYtt57tL8bEZiyM+48WdHn+8/bx7mhMFov0e9hx8F0XvsCq+OdayFk+WNnzDH4Ph lbqf/vPYu94Ud69vSpVnd3wemnkwh6Y6VUzoURjtAJA/cc90js+JxiKnTARsn8l9SjRDbh57 uvtf9ZWZ8+C32h5S8sHfkYCJWAfzS2y6Q1twVRpq21EoXCkvgPqpItErKI8yGsoUoeNbSl2q IykhXNsXNgaXSzgFYxsytPWbT14PyRSB6lShomgjpNL41KHMXiqJGxBTqJ8qkt6CwT88BTUV wyaw+PhiLp3mMnR8hG8qMYkEBVEef1+KI+Uv0H1qj47mcIw5Fhv/NmphYVyuUdyGm5VPCQwD SXz2HFe5UBsw2L1r6iSRCdShUTDzrHESSgEeCNhWcuQdGi2Ak7NbVEY9eKak7Rcv6FRfTg1l yd2hUx2SLxNLY0OijXKtOMAx+VXgrOwYz4Lx3I4a74zV+BXB5kABX4cbOa/IgMBz1QvM3uzD PIyq+m4lx28ss12uyeuziSBeuWsvN6v9P8qupLltZEn/FZ7mXeZFEwABgjPRhyIWEhY2owCS 0oWhlum2YrQ4LPm99vz6yawCyFqyqJ5Dt8z8ErVmVWZtmVjLhXx+byBp1otYS5IlCiO6dIfl MlrR+ysTkzzTrtYOT88jF3TswgvJuOIqh6ruVMAPl1QBEVoG1A6NwhFCvmSqYezILlzFDiDS hfs8WKp1sKC23CZx27Bhk2FH+auFZ0vjpinTvOBbauB0fTgPrndB18PUc60VxDVhsIDalCx9 4i+DawI2JNybz32iSdLVahVqVx22+6qpydIKnc/op0XTI1DrbF88Cvr68+VBxN5yBQ8HW9EM RAKUaU6+lBup0lnMptUcnwl2fFYzcOM1t0TQyQK+qU4aMhTMmWdbJnaywum8/ioUgXVShau5 Y60vGFJYmHjVnnqUJlLGy5QHIzdB0+8vitYZL4prPmIRMDcZLzTT36BIBncYPUrUzqi6MXkm 6puSZ/KKPpW+4GRMKqwmL5LATBL0wzxyfSHAQK+7qVAETVtWIQWX2zfrYBXMzdaQB27yZooj W1g2ZHhDmB833GrNKvECQifqPK1PHwQIUHHhp3918ENYgrLUnfC2iBa+57qINHKE4UFwaCO8 T46t6ADHd8VnHvmGXJ6XploZ4ritYjpu1BkNTXk9qzS9xkJXOe4QXRhiMoTaGV4FVm6gJOzM +ihw3A6Z4BWlDgSY1bnvaW/TkaysWjXpq/tDZrB2WT+YJWqTHGxUh54QDJVzX1Gk2S9iUgdI EFWQmWV3E88dAeAQrcM+8tw4LxbL6OB6AiI5RDBQIVHmdDbtSRjUm9sYhENz98XWB+kfxfQs rqsEfGzVJa7J3d4iRGqP4eqCAIZIzxNGeulBNnMDZvy0rIYLDXdFvLlqp8hdFU+bcyYPf46M lI0YvZxyJ8YlkFiWaTvIrB8CIXkEpiQcG3WzdnhUqt2X+9ID+8N4BSoargpCW+z6z9XBOYqt rTKF6NRn5F0NUbIq9OaGNkCaemQhafFqtSRoMUFbmGXg/X4RO05bJF4FPvSEeFzzAZfgcemi 6aGBWiK512xaLIkfWYaFJNrdd7NlKToGTqw5CZ8pHhmOvsythsTyQWgBY65QX4W7DMCpHF22 GUqxQac6VZyIzmdOF468OKDztKbsYTl26bQLA3rJGKTbHD5oj5wuPOhZkLdQ66tcoNU2cXSg IDRYY/UEXodGW5aoIEvDYEXPtQpTDX8oN00Ki9nzCmQYmxdkNC0pyDS6NMRTXyZriK++vjUQ 8puc1WEQ6reVDTSOKTPjwmSu0C+INIOuflzwEsxDsuMAivyl5+g4mOKigB76ChMokCW9x2Mw UcavyhIvfbILzeMAHQnJisFiNoAVtAuKlhFd5cmAu1pUZArVIwUNAkPNJyVkMgLpaQCNuWhB 2dIGT+RKPI5XgbNWaCh+mPZKt07Mosf0hTaTbUWZ3gZTrGouE/NdnZO0HrTfdTmq2nDh0X3T xnFIigQi0cGRaft5ufKvD080qT3P8T1gH4zudl0wTksFnv8twg8+z+PDfE7n3ubDHUYFu57A DuYfWqwEFLsSR5C8gq/w7Cuqo4Vi7dpqS2UqN+3QxZULRNfeO3xnTZYLlwvkzTaVZVw0EEjk 0W0BiL8gZ5uur3a+o5G4X7Xsg9IgD3cJEA+reBnR99gULmubjGIalyAfsZUbMC3n9BJSYRNG 3bppzMfpTt5dl+XrgXLhYHK2+44Sm9EaPe4q1T+agkP95hGj+gig2F+QakRAy5qCYGEQepHq DF3DjGWRjvlB5JAJuRYij+tMpqUzef1U28C8wDGTT6uij7PWFkmKHWldGFHsULyqRwHntQU9 nEu2LtZrrcCJa/GdZImxm4qUuumLXCtVlaUFExieuTX6vqlIZLsMyLufAjTNRiRK17SsMVNy nEyLvEevsjxs9bR4X5gE7To6kqTflIufa4xpMZQ8ixFVWwuRjhU1h9VOs0eUWmSJBrk0BkXG qGu9fs444eu02wmvVjwrs8SOpCYujk5LIAwtqAc4l73BKhGUUWZGr7oEI6wGymZz7Hd/gxf9 KWFEc5pZY+1YKhyyW/IwVjLt/kZ+082/D3MT57ZqZuoVW72lpg93RZo1evThseWauu+aUvrK HK+GfDm9LsrHl59/zV6/4/pTOXKQ6ewWpTKELzSxTP5F0LGXM+jltjBhlu7Oh9YaINemVVGj GmT1Rg1RK9LMS8a3GJVudMj3rKP7ukkzgyhDNSrn8FRdFaG7eB1RWsJoboJHFdvzmY2MbD+6 UPv6iCFIT19m92/QvU+nh3f89/vsH7kAZs/qx/+w5R3HpVtKpDSylLV9poaIlPQ+Y+FSUy5S eIvFcn4wB7+kEnlIN1DjJ1ZCnmIBTcmotIuoG8CUrJlA1WkxUkS0G77urLy3rNOiZylk2jjB lG6yrKa3SeX812VVU1MTsSgZLPY9O0vRypEjtIUsFGPL5TzaOjuwz3JYGflmHeXGoZ0j0mOq q0D0R5aCs9HTriUVAJkZ4UXp3iR2fceSG5rq24Vid32WbK+0wiar+owK1SnhquiaNqkMG1i2 X+5FOelSSMU7olAwKjrWk7psZEBPnMR3t+22IX2NSvyuKTGapTEzgl3qG9u8Fzoxkwp6BSLX cvKLipVlo2lp7GChE8a+pXcUtflImaLuXx4en57uf/wiDpilzux7JuIcyeDJP788voKSeXjF 24T/Ofv+4/Xh9PaG3orQNdDz419aEnIy73dsSFWXnyM5ZcuFblCegVVMPsod8YxFCy9MiC8R IVfVEq94Gyz0Ra0EEh4E5O25CQ4DdY12oZaBz4hylLvAn7Mi8QPqyYBkGlLmBQtLlYJRu1xa eSE1WJnUXesvedWaQncEg/L2uO7zo8TOYvD3uk86GEj5mdHsUJi8ojCO1ZQ19osl4UwCNL/u 7UElBxR5ER/shkYgMoOTWxzxgjLIJb7Gl1BmfkAMI4IYWcQbPjeeNIySVsYRFC2idsfOjbjU In2qZKtHxcbjchEQsjYiDvt8GoJt6C2IBhQAuRN0xpfaNZiRvPdjNbDYRF3hDTGKajUcUu3a 79oDrJ4scsUOK1+sSxXRQom91wSakNOltyRqnRz80JhhdKuQlOXTy5Vs1BtwCjm2RrIQ8SUt +fa4R3KwIAdEsCKkAYGQfHU64asgXq2t9G7imBC6LY99/UK/0RJK6zw+w2zyr9Pz6eV9hn6A rWYa2jRazAOPmdlIIA7sfOw0L1roN8ny8Ao8MIfhSRmZLU5Wy9DfcmsidKYgIzWl3ez95wvY 41Oyl5AJBiT16ePbwwlU6cvp9efb7Nvp6bv2qdmwy2BObdSM8h76y5UlIsZZ7li9XjhlTOc+ rfjdpZK1bAu7rFM1TcxYiA61OO2T1fv59v76/Pi/p1m/k21DLNTFF+MdhytLYckGVoAnIhI5 F8ITW+yrbWWB6l6XnYEaHslAV3Gs34JRYWHh0zujNh95DUHhqnp/fnAUEzF9x89CyUtJOpMf RVeS8OhrMArT597Twj2p2CHx537sSv6QhHP6upPGtJjP3ZU8lJBGSLt5sBmX1/ZZRsZkseAx OQI1NnbwvSh0CoGQIHLXU2XLk/ncc4iZwPwrWHBNePWYvyqeLVw77XoOoAc/6psqjjseQXK9 oygDLILnjvrxwvdC5ygq+pUXkFd7FKYOdJAja+jvYO51uSv9z5WXetCKDv84FusaakkHN6Tm NzHB9a+vT2/o+vTL6V+np9fvs5fTv2dff7y+vMOXxI6RveASPJsf99+/PT5Qrvmrw7Foh935 tpBUgV2lBEy86DWFLOj5j/vn0+yPn1+/wiyemhEW8/UxqdKyqJV9b6CJbe9blaTuauZFVwlH 9NB61AM5TBT+y4uy7LKk11JGIGnaW/icWUBRsU22Lgv9E37L6bQQINNCQE3rUnIoFbRhsamP WQ1dTy3mpxwb1U1sjuFs8qzrsvSovsPOcQcoqZo005mRMoZs0AF0JY6l6mWoSbuLvk0uqgmH bthMxDP1C8o65WhBtLTY3tVKsFln5m/cb7iEpgNau+t8o904jI7AdZkScFifho4naoBGceBT syR+6KmPh7GJKqOFkXBkSZKVpVmoiidD7izTkFJ++FHQ1tVxc+gXoa5ysDXGRwn0d+OFKL2r Mww43VR6q667hqV8m2Wm/F0xfhDl0MrkjQoAMdSA2S2CNjoId28JnxnroYIf/PfAQlIOY6Y2 ht4ZonPlbmfaNlPuTiTBE4ikx5fKYM6yntbzepIttfWnseyyOqFrc9ymVYEhcSo10OrIsThz EOUNz+BHufO0cGSechdSFTVo5JsjBnppk5vf53TKZZa1R5bj21Sso3wwOE0myJevZy0Y/E9i hZzJpdp0+KDN/TJRSAOmq+7YtCyIfGNA6Cx93i482qywedvU8/mcfDhxZobftXyTle4Kbe4y cdEj1xjOh3sEV8vqrEShUQ/MPmyqs8VRtce04MpRK1JyLcITqWdFj6zvH/7n6fHPb++z/5iV SWoGQVbmd0DladYYO41s5zVLbspis+2vsI5l+iBnbXFJa6xxGMhCvr68vT6BYnp8+/50P5kv tr2SDlV1awfm08g45Ieq5r/Hcxrvmj3/3Q/PHdmxCiaRPMd3XXasQwIeH/sd2w4sge6WFlni s67pRTxpSmjJXEaroGc3WTMFMZxsxustNqULUqsoPPyF0SwxcBToFbWaCrTbMI++NqcwJeUA Cz/anrXszSl/3gy18hyDGz/kbWudpEWuQ8J2n2atTuLZ51FUdXrH9lWhzpVI/MTUIAYTBfRT O/RHw3USog3nWTVQyn4s3rnU2mfpbc3QGYw4ZibDYWPBxysMYBjoJ9giaXQqnnOduMM3LTwT oBsr6t6oo/V6+0ycPrtSwUM31HQKSV8ed6wsUkuuNbaxhT9lIuCBU7GPfTmgEyWrQUUn4zh2 f3jE3pahNm0BsSXh8gX0rw2BQWZ/U7XDYu6ZIVdRTNoyOGqOvUbqQlCfKV7MhuYXyLPRW/YR nILu0ZezmT1fW5aIJMeg7c1BtPYim4qHt0ZHsBSDdbi6mqVevKBvzgv4rveiOaW2R9QPdP9v QsqqwrTxbTygthoEyheQqN4DghbpVc24F8WxRdMDsQNtM3ChHdUwVyM9O/RdVmUWvWJGGp/Y 3Z0X2RLEmW8S+2LlH8ZmNUViQmUVHfUXTMHBkOOia/QigVCYBLOEfM32GUEa5VgfrihOCaee RwiYJ6zNzPrs2S7LYcVjX9Xapv8U2+rqfsSZpqkH9EoBi3Y8yYYF0V32e7TQM0HHNS5J4g0Z Gh6R27rf4kxhNOQY7XXcOdkWqW20AFGtKPy8eIoAeak3PbUkBDbQX8pVOpmMksjktG/Mm38/ PWCwZSyDdd6O/GyBNyb0NGDpO/TNYJO74UCQjrkSg0ZQ21aNX3YmFZ1B5AM3KAP2ktUwWXlT 0IpEwn0D1nHuZig266w+kkGOEU+26AbQzDXZFvCL0iwCBQXOzAolzbBhnZlQxRKQPNoiRBzU dlpg1F1XVmLX0Cpe63seGTYYQWjGvkAPP+t5qPrsEOAtjAVutDzI1aapu4Jr4+9CdbdeVnGU AC21rGS1ScmSpjIrkZXUPSeB3EGLmOx575MeXKTgV+uiM0dDrkatFJSy6YrGlLttU/aZdpNL Uty13jTNBszxLau0F2gI7QqwftLCyLeP4sBghBoSw+zm1hg7QyJ8JpqNsWcl/dJMliHb86ZW 1ZEoxW0njDKdWuDVKzP5oqeXg4h9Ymvda5+G9vui3pJbnbLSNQZr6vUYy4iUieU5SMfJ+K0S qZtdo1cK28ye2ibqMf3kAOBHqyy8z3QxyamLnqIbqnWZtSz1aTFBns1qMdfmRyTut1lWcmva rBj0cgWyafR/BR3dmX1WsVtxI9VsRFgaijHrbEURqIo3ObVtJ/AG46dnt0Z2Q9kXhLDWfWES umJjFgqWM/qlO33+YzV6LYGB6erfNquhXereTLfNelbe1tTmtIAxPm1iTAkjUR4xEHSQMm3j UGAwnWEXFAm9Uzjy3HLnUl7O84W0+YwOg5RTMlg9ok2SsF6vAegdOVlpNOmwXidmFcEJOk0z sfDmlnOaE751YXFvJtJnzJrMgQhiDdZH5m4lKGRbDi5N11WFmeimy7Ka8YLy+SUSrGDV9am5 xVQVU1WhWuMMFKMxV8A8yg3XwoK8hYmKducnYby36YxpKaZuNNeOLQ+MGd3P77LOKMSeEQpy XxRVc2UmPhQwMpwoZnKlue9uUzDgzJmFwwSN259qYFKFnkCd8Vmb+GUWl5WtKzOM6+f7nrqF SRmnZ++TpNWMN6Atk7ctNJcnI48RZl5zUammfYlXTmUo41DDDGaEo5U0tALSQrvwaKZkfjQe qV7WKwQv1qDZJsURz+3AyJBHh/oDGuv9y6Cu67XGwDcLOCs7r5wPZVtgtFcnA/yzdr0OQpx1 qDgZP26TVCuRWRRW1zCPJ9mxzvbj7pyWK3GvCfvLehciLuRnOQOthIcXvOC9mVUOOeD5kphg XVOSSMe5KaexNb27AQETVvyQ9CUUxdFKqFlERwhvX3xt9594ljTAnCv24TDAha9nZHj9ugyW 17d33P2dnoZYZy+iF6PlYT63+sj2Wy6qdBh8b75tbXZ03OdFBwE8m0AQ+SOglZuXsech4H72 ELMoClfLq0yAyZvnlaExzw0hD0JmydP9GxHhWbRxUunFFjuj6g4zEvdpZQpUXyVWljXMzf81 EzXsG7C7stmX03e8hjF7fZnxhBezP36+z9blDQr7kaez5/tf0+Oc+6e319kfp9nL6fTl9OW/ ZxjJVk1pe3r6Pvv6+mP2/PrjNHt8+fqqHt2onFRDFM/3fz6+/Kld2VAFKU1ol1ACRBMRDQe1 SYp2eq6oJgTUHc5URq9pDNtGf90gqa79XlGAfgj0/kCKTMjoFQFcTUsITqp6cr2QZYIy2PHT /Tu09vNs8/TzNCvvf51+6IJTyVdA6jOJM3k4GCf7Z0Ss3Q3rV85yQlwrBt375aTdXBRCWTTH pi6p3Ydzfkf42h6ay2huD0sg0gNZANAKYGiKE66z/KBCoq6ECLkDG093MXj+TJ+7yQEIRqke b3Uk+vTxkhiz6dAP9K0LWZ4dd7irl/PupumdK0vB4ZLeaa8E/i6TyHgkltwKZ4tGo6ZyBWdq ox6PFEpGr8tEHXGHDA99YdonCiPgY5UXIiaIdA2pFweUIPzZbQyZKI1e7zsGCnhXwApe87Ut Ct/sWdcVuocf8VHm1GrZlme9nJXz4tAPXWaOg4Lj6XG+dyRwC58c9DJmd6LNDr6ZFBil+NcP vQO9XyuYOGhz+EcQzmlPbSrTIiJ90IqWg2XPEXpDXKq1pjB0z9nwm4ze10OdKrULGOiM2qUR fd5bWkYsuMRC2yWRB9x01fttyNimzDA1o4wH+B+QyaHafvv19vgA5reY6+ix2m6VS3m4Rdk3 dXZGzmWom1Zml2SFchti9NuWyEthwh40MQzprtExGelgHt1inPPu2XbXjJznGp6Jcgpb3042 oaPphIGiv56Uwr3pGJbkqoFMpPnpbrFczsem0BYYjrbVU92wdEM63u5vW/1dvCAc+6SlXOeN oHB1oL9Yksg2DTjHNy7Ob3k/4MnMnPh4dBxW2KYPVrP/9f30z0R6D/v+dPrr9OO39KT8mvF/ P74/fLOXVTJxDHjfFgEO1Xk4vstTGvH/m7pZLIZvm1/u30+zClQspcxkMdIW4w2ZJiVVFEeK qoyhHj3yfdGLJ4yTSlf9ULb7Dk+SM4rI03gZL22yuMOn3TmukuO6bBLqKSvHx6HiMFq5PpRM c5g0PqrkN57+hpxX1g5abpaNpaFVc2C0CwEA8d7Tccv14uzXPDVrlLJdUSfUUEOUB4meBBCO 272srww6YoBGoOCJjFaXqyJ499MJ8nRbOMHJoYij9OleL3yKQVj6vLKo63LI8iLT3G5KRHrC tRptf9wWwXIVJzv//yp7jua2lSbv+ytUPr2v6gUxSdTBhyEAkvOEJAxIUb6gZJnPZtmSXBK1 a++v3+4JwIQe+u3Bgd2NyaGnY8wCX5FdRwKXYs/W+A+ndWhIsN3AJiUN97HrYp34zUJFHmpQ PM2qXeem3HG3k2txE6zypBjPyejjRQbPVm57hxtIb5diZSMTx8PDV8rnWH+yKQVbZmjbuLFN awsBD3u11ZyWiXD7BZX98lXeV24NlnWrZrdGGq0hUoLghZ8YYJ1RCIQYKb5Pqtxm+CR60SBv ViKLCzsJWJpylaVm4FDhEgyY/IyxduT4QCloOTkfz66YD25gNfswMbnwAi0qOKZvoJepam9S XNCW3QN6Ng+KBba04QIOopIUJEsaGQjV75IEjoPyVNDUEyVd2G7WPfBqvKOKujgn7eslWueS 9We1WsCC6W42i8zDqCRMYYs1PCbFkzQ6OqPTOgyrOw0bDeAZpXzW2Nl50GQAznY7I6IMC5zN yIRrA3ZCFHgRjHI9n9meQQY4dx3ahiGZ0c/KniAWOFIR3FIMmUQNwVK9DZeO5+fEgmonMzLe oMSWwu9nmbW7BV950DZhGGorXP55MrsakRmJJT4My92v8tmPoLSqHZM3gSoqDLwt4ddtOob1 HxTGxWS0zCejqxPDrGnGbge8I0qKyj5+Ozx9/W30H8m0NavFmdYZv2EuKkrfcPbboOj5j3fI LfABWHj9KPIdTK0HxJi0/lTI2NPR5Y6HAeV10WPHl+GuM4HaYt/xehKucrEqJiPf89ypbRW+ D5ff7l+/SBP19vkFWOz4TdCgU8ssqLXBnK0zcrral8Pnz2FBWjDu33ZGXq7saR9JHLxJxbpq w/HS+KKlRcoO0ToDBnYBj+hfk/YW8bGJMIRJvYl0hyUt3/L2LtIjN/mmgzJqD6nnkYN6+H68 //ht/3p2VCM7LPhyf1ShnzBs1D+Hz2e/4QQc718+74/+au8HumGl4FnZRpqmYp9FkDUruZOC w8HCoeVp5egy0AyujA2cDOwSWSP2eKL/lhB8wXMcZqtJbDS6A76H8TzPjFl9sFDhqLj/+vYd x01a1L9+3+8fvgxDJuqMqax0LkDLRu0m9hhpLMiSshXsFLZOoti6ynMnfrKH36R1S70/XLJF aWvKHVSaJW1+HasfsNmuPYGtk3jjUiiY3Fou2XV2V5Pmlg5Vjq2MVuVbt8TI6utqQ+1hl6zd 1fZT2usVGp/bLhiRhWO+btrEtchGgOLo7bi5AFwnbSVIm0DEChTFrRO3HA00bg/vXo4P5+/c UqNB2gFXbtEtUx8qADg7PMHR8c+9pz5CUl62S6xuSetLexL0SDhNQR8IsqnNVsksfg46emxV cA8ZYrZYzD5kwo1V1uOy6sNVtCmKZDcnY88ZAqMnffQRqUAfyhi8S+Aw3TR37lwZ/OWU/O7i chzC13fFfOZEetcI4N8urrzQyQMqFjJ7oJAxsamvGzFLJnTAc03BRT4an8/DNinEmOiGxlyE mB3AZyFYZocdk/MqUV48CppoQgatcEgu4lXMT9dQTEctHRzbrJ2byfg67JmAZ+TVOQsRS2Da 7MdoPyGwRkc0fDYfkVMIX4xpP2lDkhXwbj+1RJrtRMXbIOATYoYbDKhNDqaYUS+mHpvCfpkb ISVGg4lueLSnYWiCX3ObHlnWXx4UqZiMqWbDTI+dsEpO/6+SMT2+FyPXQ9VVJ7stCT6HvT4m E61YBLMRObOImZ1el3iSzGfdkhWc1CVbdJfTMXVCjafnUwLup5wwE9hejy5bNidPoum8PdlT JLDzmtnw2RUBF8XFmGr14maq4vKHk1XPkvNIdHFNglMdiRhuOplg+sxTyxhYhIYagg935U1B JgfRBGGWD40wCarkEnp++gNeFr+4DEVxNb4gr4S4lL2n4CstLQzGdinybtkWHcuZbVrfzwmG lo6Auy38DEtE7UAIRWF/AMzqq8luR03stpmOIrEi+hFpr0YNDAqdRMAiEqy4osZNu9acXj3w 7o0FnDc9Q7H36dtke7ojTcFSNiGDr/YLiaXoMEkN1bKF/52TOdWHbVwQU4Lqzilx9+S1EVEG dQHKF9v4Z67MmBZW5sUM74dmR2wOAHZbcr+LchvjoOWHUmtFFNiOL0fEBaFSzpGHW3t5QQZh 71kbXD3EzXKJCmmq5RhG/eQyaNp05InNgjMAjQkM/4xSL7GHV8nL6ZPDSpOqgkgXDHMd2BGp zVPorkwwUg5lvL5Rnw0zqH7DkG+zIdxPX5TGxp4nGi2yfIlPAkF8us5YTYei9TpgSQI2u7jB zXbpKg/xNzScV0WxIedFEphI03GKIjBMNljekCF1LbTXIglBiWukQWlNKTu20liCV21uPUO3 2hTOocGSfVjpBphRQGnpSDZBoreCVlQrLN55Qts4o60WS+56zd3h4eX59fmf49n65/f9yx/b s89v+9ejE8qiDzt4mtTUuWqyu4XtKqABXWbL2JMK7fb8337k+B6qJHJyhfIPmMf0/fh8Oj9B Bm8um/LcIy24SKzI2f1wavSiKmmBpsZHrLU0tmaNtDx+DL4TAq7+sj5VtBXSO16DNJTUrQ+G sL2aj4KR7kr51YWjuxlKS22/UweMxnARlOCrggW4bXE9d5RTGj4f2wm4LGAnGDFU1+rfmNO7 NRGkb37LVioe13CWKpCyFw1eE+zp08vz4ZMTeE2Deklom3WrtLh0csOsRLesV2xRVdYobUou 7oSAdWDZdolLLw2m2Rf4bUMmZDYUjkOGAUr5OAGuVhSwqhfMVbAbXNwl0FA07PYk3pg6nujB ouHpKktdozaDdLWiBupkaOwbe1uEQJG6Oe8MfEMbzPRo19bNgNHVgrpvF0mh4uq4OWW09US3 TdbcCyuhUe6NIsNORy0unNK6omBOfLQdzzu24xg8b0nb0EizFuwFLfW7tRNnJmtYdVl/oVp6 oTCnjU677cyJATZ1IVYhuG6q1k2AoxFoWks3z1DIpb1gTVjodkE0wAQjCxDKhcrxs+pRKFp1 jh2NkBZrsbahT4n0ZF1lfuMUSvNdTuzKPGdltTvNuFTAx3e7anRJy5GUkrNLIgL+9a2oeRkx VisYzxeV9QDA6JMFQgYjOJO9o1hb7Ih6BXUTeIp3zS28SAtVzMAnQ4WwTmuJIBuGNjcNC/Bu ywLb37qCp++SNxkGhjBUZPnSeJLVCWpm6Wcj7to6TWJNUDnE4GPb8K29xhCaN6a/hlRmV4al robOUnk0aax42T5Z+jD6yN7qsENKD7B/fD7uMWy/I8UyQfhDrPrq++PrZ+KJoffiMEcIkFuO esZIpK2sUhDZ7JXrlOpjEPDezhbgNKgfNAw9dcub3vNBPL89fbo9vOytyKUKUSVnv4mfr8f9 41n1dJZ8OXz/D+p2Hg7/HB5Cw67qNoeXbZdWBWaz0mHOhlF20aZy9vjt+TOUJp6J15mSoCSs 3DLbkFJB82v4HxMbJ7ezRK12uEp5ubQUkj3GaoL3WZadQBZ2mQM/QrRedUu+Qr1eDXtQYlFQ 0GHSNXqfDjSirCqaQdVE9Zj9siDdevKxSLS2P3Haq5Hc89xyqeiBYtmHJl+8PN9/enh+jPXZ XKMBb9Mvy0RZsrmyLglWOqjYYYKfnGCZ5HFTLMiOk41WTm67+q/ly37/+nD/bX928/zCb2I9 u9nwJIG3HLCyFJMCD1I2duLp6cp/VYWyc/iz2MUqxltjVSfbsbVuaRUwzl+xmxfkIARVKM3j rp7++EHvS8TBmN8UK+vK1cCydjpJFCOLz57QfOMsPxz3qvLF2+Ebmm/05wvR4Zy3mdyHVko1 skv/vvT/6pP0tPuvsYE21w91YbbSzZHZBgwIg73WsGS5cqHoVNDdNqx22BFAiKT29N4E+lfT jJRFEZRjB8b2Oyl7efN2/w02gb917QsTuR3UPKUOf66ungzesYL21lcEYkELSlT6yDyheDvl g5E2fbTMRwdzU3AL45aImWnj9YkiRYo4wW1Sou+bd5y63E1jX7Pk8Lmbr8nKTDBSKmsYtlVj yQ17KK/UhFuXvkE5d6lTm46LET0KpJh5fG6S0mMEpzrYST795CS9TW0FClQum/31IVfb7vDt 8OQfLP1gUtjezORf8SMW01rg1lw2GbVxs12bDOZk2Y/jw/OT8aQOWBtF3C0Fu5q6CZU1xrcw 9vEnUpMPFJPJzNIEDnDPTFUj6rbEnEIBvE/ALCVq9trQBE07v7qcUFJSTSCK2cw119UI46cW /xQoiPyrNhLdriZjJ8dFUdmGIqyF9xmm82R2mmAFzRbW4tJsAVywS/vx3466fIzxOC1HOt6x rOBOMKMWo11GfD+k786qLuj3CwqXunSZx78vtvD8xbW3IMOQoDoRJRZl1naJk1UBMXxJV4ua qPl5V2aRZsl7ggyZnbI5XMxp2jiDos8kOAwTbgX6UM+vZZGM5WgPcJ0M154U5ZvTiaZyXDo5 uUKcZOLwQ7/3re8QKOeZ/lqvgTZx7iBEEMIbF581OaciFEmkHwkCgSYDgAftF7ZTvNLQRorX umP/mzVfbClJGOKAVbMkwhoyvvRAZQuDka+8QeU34mJ8zvzqpEsDbTah0AmG9wQ+I9YmrdR0 2wCDJEJIL7twUZJT4jKsqlM3FSzAJdjR7A7ipIlAFCv3cVpIM+pIv6S7g50+TAJ3zB3VBl5I C4yXWHN4aWQudZPYYjEJ0VurrTf+RJjrO9pm4vK2sfl4ntS2e7uE+rYXCtjQChOJbKmDQmEK 20yoB8HUupUqZbVXacuzhMU7B+h1QzuQIHoLF1ZV2gyEhErzAvPO5M2NzJNFhC1qbnBkrTsD dh63+XKWoujL8Zr8Gw/ijrkG3Gb+YI8lSF5HAnH2dFDzSYLmAxsFVOZg1VMqa3NuKAG8xjl+ RnzFS+S70T9643bIVLmei6BETP1gPDahzynpiC0z4TQ3GNjMCYkg4WVbRGJS6LsAqwAGZAFv YWrL5VVVrlCeUidrjD5n+xy2uiPD29Gf6r6JNYbRVr7yA6cqjdABVyUto64QmcHBTcbtYFi7 vrxyl4EE78SINpGVaCmAmM7C76KXjkb3hrX+d5qtgV/JiX6sRXrt9wCmyDbkUzB5T6xuwwZe j2l7GInE4H/8xq9A3xNhWUWyrjvUru0oFYqm8cykBqBycOhYs/DRpYp679VWc4Hpckk2Q1Go d1rlWZgPqDolMxNLApHYOTA0TDmje8MBDxJkBgOw9PH1gMBvAsOT2BHIFcJsSL/KfqOu8k0W LhM0qzulmNCrhE8uLmjTLI/uwguWoAw613dn4u3jq3xzDSetNgpzI2VYQJkrEfhyG41gw2bo 8GHWLQNIZSzkh3FbFdEgFfhRwkrlvINBOCJPWKSDKZnyiFu2xl9x1xNZg2fnEj5x2BbsIi7c uYrMEinUyJxlFBDnPWVhR2P2L8rQVBM4N3nmDqreQbuVwpG1IFbOCZLoHC4nK+w/SB31MBIY iSs0Z+1ikrtViQphohkohBVNNOI4oq+rUo3EyQlHylKcGrFSjLUxRuoOlAxPI1jL/Kk0cWsi Beq26245i0/aGxIL3WAEy7eVi5JPPJTF3oTLreA7OKvtcXfaqTbpiZaq3a5jEHrwy/OwvjXH iwav62CWAcXh7igrtXa9ETPcR7wp6v7ots1uDDxMuGo1vgH2RVdgmDZl6Hk5k+KCfIOBRrtg gNXlamYzRIRDK5/kUC60ZtO6IVdt/Fx6a3srMKBL6tFIl+PUDg+HbjwvCxlpKYLSZ4GHCuas KOpJBLp2Mi5IMLyt2mAOEbqxc6MY4E4EtOruRiZKZdlzB4fV9RqDIBVpAQuM4hqQrEqyvGpN GU7xkrcKu6OVsTfT81EMexOOl4TLuFFlLbplVrSVMoWlaNZCDnsEK4K+mibNzy92J9a3tH0d 4cL2V1LDpC42dtRJEngx4n0pJ5jy0JFERtCbyl+786CiXkiM2zQRPD11cLrUaUhN0YZnXo9S 8Zq8wdOPgLRWVjWR4jWVPOcknTs5Gq3PDPca10KozZKSqzkUxKklZvV2PDo/dXn0TBd1Y9vI iCzFpsIO/JqKrRNaOyJb3Kq3/WgCzYbxis7YQDjVhH7j4cW/np5fnljS8kE/upp29XjjD50S Ica/TYv5SO0XS+GP0hf93HJPcOCFa15nE3fe1UvlOsuKBbtToaKCa8emOLXDeumYvN1iC3Gg 0rXZ7CiHbbzT3iu2usflia1qUQOdkGHvisQaFviBjLDD0bMwIPBg/WguxjJtKh31OWIOmTJL YGk8W+2focxVgeXbnlNimQFfJVVr5QjQ4uhs6QV+VB8YTj/LatqO0iXDkr2WFjvhV4lXl6rP V/ndLCPV9MeVaacPJ2pGfs+rWQ+elIOhhZ4dTdds5KBl6qPt8gL2riyPWhnGuCTyNfpywCit alLbJn2y+k8NFI2fItPSwF/kntE9R0a43DYsDI6xvj07vtw/YHRdIqeiaGnTAuIr00z9cHa1 KsWqMY/quOrFIuoYKcLQNm5105kAvtbABkgpr6bUNKYyPANUex8dnLKgHYC65GWTZR+yAKsP lBqjWWgNqldek624GzelWtqYWBvTpZM9qNdPseXmxCddySuhj8CaJV058XLDO/3HVJzerBgy J9MqvBp0mPOurNLMxai0Aca42NJ69aj1hrphLAImQp2ZhZR2THQBwss0IGGLzLfbNVdU1icB h/9Smmob3G9nDDkGM7vLersoO3YjZVqywZRmq8urMTW2iHVNsRFSFHr8jGUHUUV/GnDbqhR/ daF9t8h5ofxDhh0NIG36ETMskxHEE5UZNiJh2pRtxELH07SrADwHjB0h71VL966zKmYwYejG IWzBLYC460qZ7dpx55oRa1C3Y21LS4iAYtJFwjoAbtqR7Obfi9RhEfH3iYiRTcah7dAOujCJ sK5X7G0lOKyOxFLaIlhkyaZR8V0sqOemIwkxMwvG2nNu/F2sCaul8IdOgzq0Y0ZHjTSnLllM wOl/aWBdNU6oLd3jMYwUPD6TrNOP/WEMehqZrtrug8KorJ2w969pcZZNZT+DF21jRnuQQGnY MOi0oMqQJetMZvJEphnm4jQxZg0VrAS60DvGo445AyosEzBabdgTWFxLTF/qORiWPFcjSF+m 49hKoNdetkMXKnsgDUSFheyq2sKhi6RZN7YKrkzRL+XOx1vHMua2bu7qWH5gITvqhjfqgfFU 6T3FYsPhkIYJ4auSYehuu9Gi99I0LLUP4Aqgwp/ZTWAKQRmNbSpX6CgB6FUoJQXyHF2yhDIe lXkaNP0ta0pvsBQi1meFbZvM4kJulkXbbUdDfxTAkrDIrxxLEczQsRRTZw8pWOflm99gzjx6 tWHa5pzdeWh1Fd4/fNlbJz4MDG56P9mLBuuzoJ+xhMFedBeDBJ1Kcq8pUP5ZrTx2N6CKH+mG olpgQt/OT4MyXIRIhQuetszU/Vdjkf4BD4y/0m0qr8PgNuSiukIZr3t6/V3lnFTmfgB6d442 6TKYItMOum7lEF2Jv5as/Svb4d9lS7cOcM4qKQR850C2Pgn+Nl6imNK+ZsA0TyeXFJ5X6DUh svb9u8Pr83w+u/pj9M7eggPppl3SaXJlB2KLtGyDI3HgWE6NgNKWve7fPj2f/UONTJDDWgJQ I2jvNAmEd2meNpmlKLzOmtLJca1f8T2fhf8MV5oRVITNsfhO9LaVS/IOLt2CugVgv91WzbVN ZW1Gj1/B3/YpIn9P/N/uhSJhTsRHBemomKiqQrPZLSCeOcqDGg5rr4UpF2wB98wmrYnzZClS 9xe2+KfTmlQ3ml4tEk9lUoAzBRiaGi6cyqoCbzv/Jw6A02SorG+qM3pB/upN2Thh8+TvbiUc 36EEuEWEddfNwrJy0sRmfHgpmUrMupWgYNc1rNC00WMwyeo1zUgk3PPo4+YEpwSwEov5im+H BvW+8W4Ztxm77upbzL9F5YyQNJsaU9Ba24SbR4AHk7yOBwuSvA9QOkLFgMf4eHXn57b1CPv2 xWnEbUnQ2BTE5QdHKKPnggXXNTvBbzK6+P6TDmZHkP7FZW5vwlyYI9k5sy20OfQ7OPStFW9j LgFj70sHd0lZnDgk89l59PM5GdHZI5lF2jWfxds1J5P2eiROiCsP9+t22cGoPMz0RMG0naxH ROcl8oiuftXEq8lFdICuZr8coCs3preLm9KRDd0mXlKnM5IAX4RrsZu7a7X/cjS2Tet91MhF MZFw7hZkyg9m2CBi02vw3twa8JQGz2jwRax2yhHBxl/R5Y0irRpNI7332nVd8XnXELCNCytY gnJ2O/+jAScZRvUPyTHgZLax84v2mKZiLSfLumt4nlOlrViWuzahPQaeU7StsqHgCea8osSQ PUW54W2kx5yV/qQhDh6q15y865ACuV3rzZpb+gn4EV5mm5IndP5dXnW3jhGmI5RTbsH7h7eX w/FnmKES7zy7GvzdNdnNBhNlybuEVtipZJYwgfgFvHhX1P3VYuLZLFWVDK4lSlYwwO3Ku3Td VVC6TFBMlYk08tnOE0VjsVNaytalRSak0V3b8KQNCYhPbuFvyVetq+qaKHNJ1aPZ7Tim2y3t xGs9umatlXYnFwUGqagxtWfH0rR5fzGbTS4Mes22mMC9SbMSxgyFGElV30muK5GR+38OlB7R CRQ8vfJcRjMZmofCx0RSYJYh3xucRKuuvPvr9ePh6a+31/0Lpgn848v+2/f9y7ug3wK2aLnZ ESOiMTKMS83gfX+CRrPApyiybZZX9QkKtk18uURAIwWGsBcwBgfKtDfZ+/MoseApLCDJ3XYL DuVenSIdw9LstMyDf8jej2cXIXnhzo4DR11Vudo4rhkeBatlglYpNMsjXsbmi7YqqjtKqdJT QGkM5r0hKzTIGHMfEgbnW4REy0/J6ESRL2DzC7j0qZntKa83mHJXh232qfKKpTUv4xg4wpZV 44Yt7GnuWEHphYbJYUu037Wd863y4X1ZwSMCjgSycJugy1iT02JsKduVdCiHyPJONhfOTdLd PULdS8rtlkRoJRYOmBaDykdk60Mn4Kr1w6w4Kqq4fN7Iivw99S+JcV/8O1KzUojhCmhTljiH +ft33+6fPn17fvj6O/716fl/nn7/ef94D7/uP30/PP3+ev/PHgo8fPodQ5d/xpv594/f/3mn Luvr/cvT/tvZl/uXT/sn1MMPl7aVuuns8HQ4Hu6/Hf73HrGWuBFXNhrbX8v5tsXgHNMxqIvD zc/gUaA63CWwXNLJyg063vbeI9hnRUzlO9iWUinhhCACRgFtzZSg9eXn9+Pz2QPmGX5+OVOX zNBxRQzdW6m4MBR4HMIzlpLAkFRcJ7xe21eihwg/wfOQBIakja10GWAkYf9ADxoebQmLNf66 rkNqAIYloJVtSAoMMFsR5Wp4+MFGxKl78ZYJn+lSrZaj8bzY5AGi3OQ00LEo1HD5D8Xsm45u 2jUwqUF5OsKSC1RBRMwSrd8+fjs8/PF1//PsQa7Wzy/337/8DBZpY+fW0LB0HRaehK3IkjRc UgAUjOhqljSAiHdVFOOgUjjVttl4NhtdGYMI9nb8sn86Hh7uj/tPZ9mT7Bps3rP/ORy/nLHX 1+eHg0Sl98f7oK+JncncTGRSBH1I1sAPsfF5XeV3o4mbrKfflyuOgchPdCi74VtieNYMDret maYFnssyo/Vr2NxFOObJchHC2nAVJ8SazaQlod+TvKHyDGtkRVRXU+3aEfXBA0mGKwl2w7of 2GBnY0zTdhNOCWam2ZpVsMZcS5Exg4s1mON1wYgWU93Yqs+V1urwef96DGtoksmYmBgEBzXv duS5u8jZdTYOh1bBg2sHC29H5ylfhucQWb61cL3DLZ2GB14azkPBYZ1Kd5Kwp02RjuyU6Wa9 r9kooAUgPCgo8GxEXGtrNgnLLSYhIeqlF9UqIL6tZzJWqrqlD9+/OJE4+r0brlWAOcFH+gmp bmVo5xgi0KyYGWMYKJCzcCqlEZpJchbiqMMG4VQeAHNcE/1Zyn/DGvTJRpwDcBfCKy2igzZT QUlEzZ10W5EjpeHDQKm5eX78/rJ/fXUYxr4/y5y1WVBS/qEiBmc+JdVB5pMpdeR9mK7pmJAS /UG0fcCZBvjn58ez8u3x4/7lbLV/2r94XK5ZQKXgXVJTvFPaLFZeaGgbo08nv5EK571iSaKE TGFlUQT1/s0xY1iG1vW2aMZiizqKczUImpnssVHutKegRslGworfhvdGT6E5ZX8wenxWSs6t WmDUtJaWG/YnCSOf9BaD3OnAfTbn/+3w8eUeXh8vz2/HwxNxD+V8QZ4zEt4k02BnIkIf/8Yb 9hQNiVO7u/+cqluR0F/33JbVgGDrOIQnNh7QUecSws3tBLwnSpxGp0hO9cXiIshmelzc6cZG bqr1bbhpsy2+XG95WRJrHLFiU87hMMioXW2hT2nFCeqYupogpY8hm6I9TeG6thHoqO6Xov1F czCVsjpQyBrzyWx08vbbGq+vaDWz8DCRsyhjAsUeWRZFFu63AdtS63xAC2K7DVgvArOHzZJT WFyy51NG7FKkuSFtAh0CjHcXGTJerNosOTUv2rCfZSeOT6TTaRiobqAAcpfYqa4tpHQiFhl5 NeIQFHm14gl6yP9iFbLxJo+MkfEGqxIhOcCTDI7/wTohLvSQRt7vcq7GFu/NxF1RZKgVknok tJshkfVmkWsasVlEydq6cGgGx5HZ+RXs90arqbLACr6+TsQcTUW3iMUyNIU1YqZ0haEsTaGQ SyPuJqu4lDILLMUSNvMV6oHqTNnzShNkrUvrr9v9yxED9MGb/lXmK349fH66P7697M8evuwf vh6ePlsRf6t0k6MaQ+rm3r97gI9f/8IvgKz7uv/55/f946AKklZptmawcayNQ7x4/87/Otu1 DbPHN/g+oFBqlun5la1nqcqUNXdEYwaZtSoOrn9MpSt6bSdtjPkvhs3UvuAlVi2NhZdm3PMo f9Mwnl509Y1lJ6Yh3QJOUVjsthoy52XGGiApHTUIhuBxBnvB4UWH6S+sATQxQTDS3abluWO0 2KSOG3vDi6wrN8XCifapdLcsD8usE+47fxiUB8bMTiY/qLXbky5JgIm2T65kdOFShE92KL3d dO5XE08wCIA+bU+EN5AkcCxkiztaAGURTInSWXPLomwxUsB00OVeOIxr4ggTEssCCziqXk5i l00115eRYDyf1mL8BicYVqZVERkeTfMBeTlg2N0H5AfFjnpQeE/KeA1NZps9IhSd7DTcop52 NJSixjckQS7BFP3uA4L9391ufhHApK9wHdJydjENgMzW+g+wdg17JUBgHIew3EXytz0LGhoZ /6Fv3eIDt4X0Fmb3gQTj+56GT0m4fqd7+5ewRlgklkAbfsiA2m0ntfu2W4LAOOdwZmwzGKOG OUYL0lnM8YmuMJGW1bCCoZorqdbyZS3tKOxxQzw+TuNMP1Kg8UV/jlLK21WuemhVfGMfcHm1 cH/1u8W2GXINWfuha6uCJ/YqSvIPXcscsTEGacO02pTHYc2dVM3wY5laqqGKp9IbVbR2zNZl VbahgTVCXf8QJJv/oE4QjbLPXwm6+DEaBUVc/hhRTJ7EYRSEHCsJvmJw5ZSnqi94ybvpj4vg S2gEHUNLYkfnP0a0r4EelhL7FasU0KPxj/HY63ebNaOLH+7FottCtV+g33fObQMEjEhQWctq o5LDY7zdxJYYCbgpvHWO2mpGOV9Vi7/ZSvE0mk0JuIxhJ5YjtM6q0sEXtlfoGq5PQr+/HJ6O X2UW20+P+9fPoV2ZZGyuO4zj6TRTgdFCOha9GjXXrTTGR7evtOOkpk7F5sckMjna+vQK0cso xc2GZ+37ab9rNNsclDC1joa7kmH492i6PxvfuRmN4JWwqPARkTUNUGX2WYrU8Ac4r0UlnNj7 0YHtxbeHb/s/jodHzVK+StIHBX8Jp2EJZ20m3dDej87HU3uYG15j9lVsKPWWXGcYehO9zWFG bOWqaj5wz8jloVNKwdrEYiR8jKy9q8rcyT//r7siOy4lwIcHsxrT/ce3z5/RvIA/vR5f3h73 T0c7BwnDJyqw7naQTQvYmzYoieV7OAwoKhWdki5BR64UaCiJ+UuHJ0rou2og2k9CDaZleaKx qPmWBAX6YEesVJySfHOewVZ0IcizQFoSwrOQlZJJ4rn2h9Rz8q9G2W+NMgMKHAS1nUhfhnUy 4K6D91lWCq5tS2xMXXFRlcETyyyufLPQFZOuphLv2fUZqzCMWS5NXKyLVspaOjTVRF/pspIu v5jxEM0wMy2Pc01fhi4pfSX+PKuev7/+fpY/P3x9+64W8vr+6bN9HjIMvgbbonJcbh2wtjEc uUg8QqtNO5geyic9GspsnCA3pxuizIBho316w91lz8tgmkOg/enG1lxnWe1NkHq+olJ9WDW/ vX4/PKGiHRr0+Hbc/9jDf/bHhz///PM/w8DcwoLfyBwhhmGyr6r/R4nudAO/BO+OlTXU8hiC jdNtSpFlKbz31cvGZje3GXU6W/P8VW2NT/fH+zPcEw/4uneT5sil2aWsZXgjNJvAK9qbsUiR Sg+WbOipchHW/mAY9DRi7CmtofFV7YWUkQU/Xsy/UtuVMMjtQbLIcvX+3QOc1M/f9u+Px5/i /PcRJq+2nTw3eR67QsvKGBJiyi1r6r322MxIu3894nLA1Z08//f+5f7z3rJo3zhbXFl6muR2 Htg1AFWwbCfHkMTh8vEtk9QRAgdHUm07xbjYz8QGDnMUk+BnKnFm6YTqyq/TlorQoHY5ipyE w6FLOBqKYyLh4XEhwcLxQJSglG9dz6JGZZbKK4wkG3lOmheJvSftQtfZDh3mHEGZXAmnZASq hYosyBBjkMLhc5XwEsCtHRFFQrXgzCsgYaUTaEZCFbMca9FmY1viStDOe4ZKIDrDL+HW9aps UIoiPQeCegWvo4pkScBTyjJLTfx14VUEvcCbw69Eal/Rnj9ezaKmU14oJEo218gox/I9Lzkm 4eQt/UB2S1vypoBzluZK1KBI92mi21CDTLvp71+pC6Z2K1zP1QZtj0lbblkNiVJiXBJhSU19 Y78iRbT73XDm81bE9pLkSMj2azEpiVRzm2Y5uws2ifTC8F1n1LEA70QGeyO2qvRbMCgQxcLc PzmgMJdZUjOMpsG1NK+3eI9TB/PQRnkDw7NAyLg0VbKBs5A0A1BX9YLj26lqHCbMe4/+H/GX NNlPqwEA --ZPt4rx8FFjLCG7dd--