Received: by 2002:ac0:a591:0:0:0:0:0 with SMTP id m17-v6csp304945imm; Thu, 5 Jul 2018 00:09:16 -0700 (PDT) X-Google-Smtp-Source: AAOMgpdKrxsbZ3AvRZgLzhqgNRMiDUytpA+cuis5rcM6glv0+F4TGxAJOXrW7uY7kHFMBL/u6p7q X-Received: by 2002:a17:902:a518:: with SMTP id s24-v6mr5051066plq.144.1530774556697; Thu, 05 Jul 2018 00:09:16 -0700 (PDT) ARC-Seal: i=1; a=rsa-sha256; t=1530774556; cv=none; d=google.com; s=arc-20160816; b=Rei+cvfD2vCUAnpe45bWkgvir0Paq8op5gWqcvHkjloi7r2jNgcbLcTn1YShmBON2i 1Ls7IoOgdMT95RaB3GuHSyyZQbuv8d0jO+fpXiEVp8//jqhugIkGcGWW+uHxqTNX0+Zp iQe5Fs/KKLxTv+pWBqmGpYB1MKRD+Hnp4TRYxF13Qd7dG5+qkG2Y6XJFgB9S5pwrcbNX Wi2gxQ8gPx7ED9YMBOQdgdGuTkOjQ2Hh60gg5Rx9oscV3MKSQdhenwAJfclw/q2YWPXY +yOWmBGOhZP80KrO216B8yhkc+w1CE0JesboylKIxENH6+IOglim7f/3NlpgmMMYWorN d+Xg== 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=7jru426d5LSDD0x2w0j4S+Ub3mcq/xizJF0nk8yLiuE=; b=elwiUebXAYBZMENDk0Ltk3iYPQbzr/ZZbzorGXVTmamaY62fKeM+IstUErs2OYINQ/ HNJn3L8+4o7vwo9ZBiEDsM0+7wkDZBNyxcEi5k8lNJOoRqPWOM3Gg3KMFn8RNu5SQPju Bj7H761ll7QUwRPAFRf+uSjcubGVI/LFsmTtrOYmCxA4IQi69nrL8ShuaFBY0E3U5O4q l/lOmyYhr7Npt9eekaOSxfTPxl6OSFnFfR1mZW0XKT7wMgS301OGsZ7JskPXBbRvAxru 55ohoEDorrx4pwweBuS2whhUFn5KMKK3VM3JWiQdvtRGCA9+c8ofPdyfg9W+VYgUV/sS Zmyg== 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 u10-v6si4936754pgc.261.2018.07.05.00.09.02; Thu, 05 Jul 2018 00:09:16 -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 S1753429AbeGEHHZ (ORCPT + 99 others); Thu, 5 Jul 2018 03:07:25 -0400 Received: from mga14.intel.com ([192.55.52.115]:57368 "EHLO mga14.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1753025AbeGEHHY (ORCPT ); Thu, 5 Jul 2018 03:07:24 -0400 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga003.fm.intel.com ([10.253.24.29]) by fmsmga103.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 05 Jul 2018 00:07:23 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.51,311,1526367600"; d="gz'50?scan'50,208,50";a="62405395" Received: from bee.sh.intel.com (HELO bee) ([10.239.97.14]) by FMSMGA003.fm.intel.com with ESMTP; 05 Jul 2018 00:07:21 -0700 Received: from kbuild by bee with local (Exim 4.84_2) (envelope-from ) id 1fayMK-0001LK-Ij; Thu, 05 Jul 2018 15:07:20 +0800 Date: Thu, 5 Jul 2018 15:06:48 +0800 From: kbuild test robot To: Deepa Dinamani Cc: kbuild-all@01.org, tglx@linutronix.de, linux-kernel@vger.kernel.org, arnd@arndb.de, y2038@lists.linaro.org, linux-arch@vger.kernel.org Subject: Re: [PATCH 3/6] timex: prepare compat helpers for y2038 changes Message-ID: <201807051322.sUohKhUO%fengguang.wu@intel.com> References: <20180703054422.12089-4-deepa.kernel@gmail.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="rwEMma7ioTxnRzrJ" Content-Disposition: inline In-Reply-To: <20180703054422.12089-4-deepa.kernel@gmail.com> 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 --rwEMma7ioTxnRzrJ Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Deepa, Thank you for the patch! Yet something to improve: [auto build test ERROR on tip/timers/core] [also build test ERROR on next-20180704] [cannot apply to linus/master v4.18-rc3] [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/Deepa-Dinamani/arm64-Make-basic-compat_-types-always-available/20180703-151440 config: riscv-defconfig (attached as .config) compiler: riscv64-linux-gcc (GCC) 8.1.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree GCC_VERSION=8.1.0 make.cross ARCH=riscv All errors (new ones prefixed by >>): In file included from include/linux/compat.h:10, from include/linux/ethtool.h:17, from include/linux/netdevice.h:41, from drivers/net/mii.c:32: >> include/linux/compat_time.h:29:2: error: unknown type name 'compat_uint_t' compat_uint_t modes; ^~~~~~~~~~~~~ >> include/linux/compat_time.h:30:2: error: unknown type name 'compat_long_t' compat_long_t offset; ^~~~~~~~~~~~~ include/linux/compat_time.h:31:2: error: unknown type name 'compat_long_t' compat_long_t freq; ^~~~~~~~~~~~~ include/linux/compat_time.h:32:2: error: unknown type name 'compat_long_t' compat_long_t maxerror; ^~~~~~~~~~~~~ include/linux/compat_time.h:33:2: error: unknown type name 'compat_long_t' compat_long_t esterror; ^~~~~~~~~~~~~ >> include/linux/compat_time.h:34:2: error: unknown type name 'compat_int_t' compat_int_t status; ^~~~~~~~~~~~ include/linux/compat_time.h:35:2: error: unknown type name 'compat_long_t' compat_long_t constant; ^~~~~~~~~~~~~ include/linux/compat_time.h:36:2: error: unknown type name 'compat_long_t' compat_long_t precision; ^~~~~~~~~~~~~ include/linux/compat_time.h:37:2: error: unknown type name 'compat_long_t' compat_long_t tolerance; ^~~~~~~~~~~~~ include/linux/compat_time.h:39:2: error: unknown type name 'compat_long_t' compat_long_t tick; ^~~~~~~~~~~~~ include/linux/compat_time.h:40:2: error: unknown type name 'compat_long_t' compat_long_t ppsfreq; ^~~~~~~~~~~~~ include/linux/compat_time.h:41:2: error: unknown type name 'compat_long_t' compat_long_t jitter; ^~~~~~~~~~~~~ include/linux/compat_time.h:42:2: error: unknown type name 'compat_int_t' compat_int_t shift; ^~~~~~~~~~~~ include/linux/compat_time.h:43:2: error: unknown type name 'compat_long_t' compat_long_t stabil; ^~~~~~~~~~~~~ include/linux/compat_time.h:44:2: error: unknown type name 'compat_long_t' compat_long_t jitcnt; ^~~~~~~~~~~~~ include/linux/compat_time.h:45:2: error: unknown type name 'compat_long_t' compat_long_t calcnt; ^~~~~~~~~~~~~ include/linux/compat_time.h:46:2: error: unknown type name 'compat_long_t' compat_long_t errcnt; ^~~~~~~~~~~~~ include/linux/compat_time.h:47:2: error: unknown type name 'compat_long_t' compat_long_t stbcnt; ^~~~~~~~~~~~~ include/linux/compat_time.h:48:2: error: unknown type name 'compat_int_t' compat_int_t tai; ^~~~~~~~~~~~ >> include/linux/compat_time.h:50:2: error: expected specifier-qualifier-list before 'compat_int_t' compat_int_t:32; compat_int_t:32; compat_int_t:32; compat_int_t:32; ^~~~~~~~~~~~ vim +/compat_uint_t +29 include/linux/compat_time.h 27 28 struct compat_timex { > 29 compat_uint_t modes; > 30 compat_long_t offset; > 31 compat_long_t freq; 32 compat_long_t maxerror; 33 compat_long_t esterror; > 34 compat_int_t status; 35 compat_long_t constant; 36 compat_long_t precision; 37 compat_long_t tolerance; 38 struct compat_timeval time; 39 compat_long_t tick; 40 compat_long_t ppsfreq; 41 compat_long_t jitter; 42 compat_int_t shift; 43 compat_long_t stabil; 44 compat_long_t jitcnt; 45 compat_long_t calcnt; > 46 compat_long_t errcnt; 47 compat_long_t stbcnt; 48 compat_int_t tai; 49 > 50 compat_int_t:32; compat_int_t:32; compat_int_t:32; compat_int_t:32; 51 compat_int_t:32; compat_int_t:32; compat_int_t:32; compat_int_t:32; 52 compat_int_t:32; compat_int_t:32; compat_int_t:32; 53 }; 54 55 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --rwEMma7ioTxnRzrJ Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICEWkPVsAAy5jb25maWcAjFxfc9u2sn/vp+C0M3faOSc9luQo9r2TBxAEJVT8ZwCU5Lxw FFtJNXVkH0lum29/d0FSBCiAbqZNTOwCXCwWu79dgP7ph58C8np6/rY57R42T0/fg6/b/faw OW0fgy+7p+3/BVEeZLkKWMTVr8Cc7Pavf//nsDs+/Blc/zq6+fXq3eFhFCy2h/32KaDP+y+7 r6/Qf/e8/+GnH+C/n6Dx2wsMdfjfQHebXr97wkHefX14CH6eUfpLcPPr6Ncr4KV5FvNZNb0O ufr4vX0UXNJl95imZffwKc9YFaVkMu7aCjJjVR7HkqmPV39/0X+2V+2flksqQhdKEMoqWRZF Low31s1c3MUJmclLulhJllYzljHBaSULniU5XXT0lhKWM2djJVhCFF+yqsh5ppiQl2yUJDwU RMH0gPnewSDL9LJ1vmJ8NjdkLWaKhAmrErZkifw4qdekeNqcvjwfvgWn7y/bepVqdiLovBLL yZgHu2Owfz4Fx+3pB5s4veYw/rkLTXMQsUpZlOQrR6+OTjJjHtBaglySUcXzTJojpmRdzO9l Ckoez0LHkAbDaHwzC7tRZVp0D5moaFHKjzfnhS3BXBpV9Qys4pJUzkYCjVpFjZE3Kmv4wEQU yNF1xIYqgylXKF5KDHnmZKlbQ9tcrOamq9kty6swz+23yCLhqiqU7qIneX3Wd54WRCvVUDaf gS1ZTajAikSRqNR5x51XYCFTh9ojFpMyUbAFSQFDZrr7x+ur26lhDQkjGSV0zswBzuRY5JmS K1I4qTQlzvZPRZ4nbkpYRm6CTEkC2nESeQSWp/0EbvUFz2ZOtoIJUC26CiWdDLOyqEKW0XlK xMK3YeZEwkKBpReMcpIYKyAYSws0loyZym/bl3lSZoqIe7dwNZeTNv9Uja6uHAIBYfz+ynwZ tExs1t4o7mE+wjD1rghfj8Hx9eXl+XDqdkVBuTFPyqsoTwnPpLPR2JHd7Chn6HTDUjrej51T 2XvFXcnFQvYGAZsFh+tWIFClKkMvkedLL60Q3E8jkruNcp6rIik1l0mvXTK0PTzvT4fnJwiW weNh9+f2cDwH0c3jdv+wRa6twWaq3tIdxI8IDJPBK6XbRlDSWMHfI8/yIwP2bpfnQuJoe9x9 3a82By0WxHn4QZ7FOU+K7R9fnnf7vogVyyId/pyaOP61Oz387laIvYIr+I8rOleMuoIPBR9e AcowQiW0LSHmoje8uRp1kIAmJJudSedmwAHVKheGw1ZzwUhU8SzO4a9KEbloY8RMw6cnFOH1 pdsPPANvzbIleIRZlfAUvO1kbPg9cNkcXJJi9mI1ZHBjJGnl+vFHV3NFSpV3EraeGtcvIyn7 +OPP++f99pdzX3TBRjS5l0te0IsG/Jcq02Xlkq+r9K5kJXO3XnShIpcSw1su7iuiAHbNzT1a SgZAx2mApATQeWEdsBxg9J+P34+n7bdOwy0AwtWS83zVCYAttae5hEvgRJBuxlUiJLPbzKFT 0CpsC5JBBBEOUIbxGJAWxLjWItTuW71PL0QG/woRhueR7fog3AMFQ5RTK5rs9i6A/ABaykrx FKziQnMQy/6jNsc/ghOIFGz2j8HxtDkdg83Dw/Pr/rTbf+1kU7zGFRWhNIcoBCHSlDGUEbjA nDJYWuBwexjcFxexs7UKGJrLPGlBiRZQ0BIcyIWeFES6CmimAPBYsTWoz7VfZM1sdrebsDdI liS481ITFSElYywCXDqjYcKlAaXDkidRFfJsbOwUvqh/uGzRCuqakxxHiME4eaw+jj6Y7agN wLQmfdyhBPCRi0qSmPXHmJy1ORN5WdgYmqXUHffCZNF0cK2LJlQS8FtkYFrCReWk0FhWIeyG FY+Uta+FMju40V7NUPDIja4auog8qLChx7C+n5hwswAyZh7w1nSP2JJT91ZrOGCQvo3bDGER WwlRO3APebTWqSF7w0MUMYA+eGpwQLCrurZSycrETeiVzWeYn7AaQJ3Wc8ZUZadXekV0wLiw go7nXsLKRgxQJoUk1L2AmMbeO2aIFgZq1VFPGMain0kKA8u8FJQZsUxE1ewTN0ISNITQMLZa kk8psRrWn3r0vPd8bZgqrfICXCP/xKo4F+h74Z8UshULfffZJPzgWsVemCOA4mGCkLwZuq+Z wFFRVqCjqysLhkfRhtM81O7MyNkw1ODyWms3YyoFv6qHBgfmlgw1XNOtvrU0/p5xHdf6gb0O J2begh7J9IuG92NJDE5VmJMkEFDjMjGUFZeKrXuPYLjGKEVu8ks+y0gSG6akZTIbdNA1G+Tc SpgJN0yDREsuWasJY2qYhRMhuBnbYbfQhUaqGFyVNbcFdr9Pre3VtlVuJZ/JWi9tJciyCdfi oSFoTBe79yIIzqLI3qgtLsD6Alp7dUYmBoQeXV1fIIWm0lFsD1gk2mDiwf7c7gErEEANFNFC H4p3wzskWKY1rdJYwjImmZRh7SoNjWMFQ1Whxtyd+SbEVQvCAWy23M1GQlheMWMtOO6PrQMJ RvxKwDbIU7dftBjnRECW5VS6nhfGdQCUqk77jdQ9j3nSqzqYi6XrMWA/YPboqSnirF69SJcW tDuZ53m/mAQRE5QIqG1W5qWjuCjToq6B1JlMrzdNjPEwX4UcBxMJSKJ+/Pqvf519NnhKrG3o SipMCRIw2BxtNcMccMkBDdhgEkXpV8DyqJ6VLpTEZoWurhVK3ATaweCuMcwlwSpwCFKsYD0s 8xYs1m/U/ufCzGc0X777vDluH4M/aot/OTx/2T1ZSFjL1iquVuycCTBmI9IocNbgwkzXr3e3 rkF1mWQzDQum1VVQCDQU4R1xmVLDU2ZI93auyU6jBb4mTXQjobYUK+g5m0zc5baWk7uhZUPG /Quu0v0yJXgKwsJSRtUCHaETQFgFUsQTkkKqJhjkmBYkb5BGKO30pGv2JZcdRlFsJrhyF9la LjxncOtWo+k0gt2MFUXIHd1AFNlWoTtP0tMDbeQFubTRYnM47fA4JVDfX7a2z0XPomEFxDOE MU7jkVEuO1YjYMbc1YzCpHd2Aa9pw22so2idh+eBfPh9+/j6VIeCFuPlNbzM8txAc21rBN4G VXVJofGduYJtAaPtMFCN9vREAQZ6Ne/9+OPDl/+ePRpM0i+pQVzchzYsawlhfOd4J8+0eeBB kd6mgP+tAkND10WlsneWdElz9l2BCTNfZ5PY9NZLyP7ePryeNp+ftvqwL9DB/mQsJuS6carQ 5VoAz8Z3+FRFZVqcdYsueg4CW4G+GUtSwQsr9jaElEtnAQ9Gx8FbmYvnv7aHADDJ5uv2G0CS 4PkFd4e9MVyHF5AHtWNk29Nfz4c/wM0bvc+bii6YJV/dUkWcuOJ1mfG1hdPg+YK3c36Jy92t Y5GaY+CzBnzOMTRVAroAjMyp229pnvrQx53a1oMowJ5Scer21Jg5LpjnBVGhE1nmxHu8Vnb7 VNS5DCXSbm3dVgVpqOptKMjreYjBgg2cv7QjFwhl8JjTy6bf0DATNR9mgygY5tLlc4ClyApr EvBcRXN62YhndpetgojCqvaBknnB3Vl4TZzh/mJpuXZbNY6syixjSU+BqZ6NJ73PYGflC+7R WD3sUrkPOZAa5+UQrRPKsyTIRzzrgDQm3SrhtWgIMTyG1ynDbKx3BJ6tAmjOpH2g3+cYHiBk rN8XN3yvSdGibbaFL6PC7yA0hyCrNziQCjYhlcjd+xPfDj/OhqDBmYeWoYm2Wzfe0iFGvn7e Pfxoj55G73sw8Gx5y6ltictps8Px0DL27D1gqusu6JCqyANlcfbTIcOZDlrO1GE6tgwpL6Ye w5q+bUTTN6xoemlGPfk6ulZZU4rSZXK/0L2NapKkfbDftlVT4TIJTc4iCMX6HoK6L9hF73pe Axr8Rx4ZGf3+qRaTzaZVsnrrfZptnhL3UT8oFQ/v8J5J/5D+gqeY3+vCEgSctPBdCgBmSN6V D+cXA0TwiRGlPuMDaKTcNOEpkIOa3ZMmyl29SMaeN4SCRzNXwNPZr/Y4kvTDFjQ5B1smJKtu rsajOyc5YhR6u+VL6NgzIZK41249fu8eihSek/157nv9NMlXBfHsM8YYzun9tc8qBk46Iuoq SUWZxIpijme4FiCG5SM6qXMOlhcsW9Zn3m71+3EZSAkJweIiLqWFJ0zXhwfu98yl28q1KrR4 kDl7OZJJlQIehJgwxJVB1u+YhyiMxELE+gzSdLVr+yysOWzBAQsBeevAWQ/y0ITI3g0OQySB x3TyvrIr1OGdhb50EVdB0pY6igImUgKLa+4D2LlJcNoemxNZSyHFQs2Y20LnJBUk8k3PY9ae kgSJYZ7C513iakFdKdaKC5bUpcruxfEMt83oorBxJuy328djcHoOPm+D7R6z0UfMRAPw6Jqh y83aFswIsPQ414emeEDz8ap744pDq9uPxgvuKWyhbm89l9IId2MWyop55asvZbFbeYWE2OI7 2kdoG7tprjjY+hEJNos37oxCr8hBvPpow/bZbIkewFUoIve6vtpwWIe/SV67qObaz5+7h20Q 2ReU9MWX3UPTHOT9vLqsDwDmLCnMwxWrucLUzDgUBFFUWsTWJNo2wEhl5jz8VySLSGJVoQF2 6tfEXKQrAumUPspvJxTvDt/+wltMT8+bx+3BuNu50iVZU162BuR3HgdlPUt25q7PZOspOQTE a4krXVU0ahvG/PCCcCT40gMiGga2FB5sVTPgVaJmGAgyKSygG0IgG4F0kLbMhchDFxI4X3Ep yubM3PDBWBeXc9BIhPcTYjueITHWl9H0ecWFJ8AbhI/aqKwqDvyT6SMFd6lZuRx0pIw8JrdO 5fMYazPKc8UKqHhxF++KmANUjIjk3k1a5OFvVgPehrUOaqDNqtXBs1UYgec00hVVU0rca71z dbPki0mHs2SuK9WuKnhWJgk+uKprkchTVx+8QyhlBGrmxWS8dvvTljki9HbqvkTYspQpc0WM lpxY1WKzVd8z1mc4H28uh6XivlB50iv1XgooQn/1XqvoDbpcvEFf3wzSBXEDcq1/DOo0Wrrf AMhXW0TF7KpVC/Z0TR7fY65i16rPTYZFe2PqQtqrX6OUZcqMu56X+kS6M8QBoYov75Kmu+OD ywmQ6P34/bqKitwNVMB9pve4yzxYn2TKd5I7wxu+1A3nFY9T7Z7duQCVt5OxvL4aOcng6pJc lgI/bhDaUbrxWlFBYHUvehHJW4A6xFc9k8n49upqMkAcu/ejZJnMhawUML1/P8wTzkcfPgyz aEFvr9zuYZ7S6eS9O6GL5Gh64yaVMmzyhyqW5Pb6xiOCb0+Zd4svbtR2O2/cd6T1kQiD+Je6 blXXFNiPY7fJNPSEzYinKN9wADqd3nxwZ60Ny+2ErqdDDDxS1c3tvGDSrXoafhhdXRhwfR91 +/fmGPD98XR4/abvdBx/B/DzGJwOm/0RZx087fbb4BF25O4FfzS10C58wuWk4mNPgoAVEIJI rLg80OT70/YpSDkN/ic4bJ/0p2ZH+9Z4x4LQoEaULU1SQOOXzUuIAJet3UDz5+PJS6Sbw6Pr NV7+55fDMziqI2Qp8gQzCNLuPOpnmsv0lz48RvnOw50VBZhqdef2MYzO3b4Bz8kqoeS6/xWB gwO20oX+dUCoPe3ldxv6lD3NrVsGgvAIL24LV0UBOxiXebB7lFqVonrIu7aq7BlDX5at4vOt aS1lI57+4ir4GQzyj38Hp83L9t8Bjd7BNvjFOKlsA7ElOp2LutXjAxpyLp2Y8DymcCEkKSrI KSIPPD2/2V1EPJM9NRytEvgZkxnP2ZdmSfLZzFeo1AySYiUJ8b3bEFS76a2oW3ct+OWy2ywx fYuD67/fYJJE/hMWSLXhnwEeUQzaKWhrpT+DtEramqJ8VVlNxZO8+lrlwGKtZ+Gk5h9mun6L KczW4wGekI0HiI1xTlbVGv7ovet/07zwVHA1Fca4XXuQf8swuB6EEjHwdkLosHiE0w+DAiDD 7RsMt9dDDOlycAbpskwHVkqfrYFdDHAImnrKpJrO4PVjT4ILQEK73oytfCW/M88A6jjzDM+0 UJO3GMbDuy8lQhV3A+oqYzmng+YISYvnOrp+Q8bdeKMJO+vJ6HY0MD4vhhxVhhehBunE96Vc LZ1iA4Ym79P3E3oDW9INehsBB0zlDnw9p/i984AQdwl5y71EdHL7/u8Bk0VBbz+4Qa7mWEUf RrcDc/V/cllH+vSNfV+kN1ee1ErT6+x2KCjWbh4AUkr5gIeLBoJvLqPaJkivAtXl5cZ9ckjS m0sjFRMiNwqGEmlFd3+JGt9u/rU7/Q7j7t/JOA72mxPAw2CHV6u/bB6MT8z1EGRu3sjTTWke 4keDSZE2V4G6m6bnLlWREIWfOZgxTxMoW7pVo6l3ueDunFoPDZqho+nYYwT65ej89Vh+HskT O5ky1AkqOWNB0M5DX20Pr8fT87dAfxtkqKzLAiPAJr4vh/Tb76SvtlgLt/aJFqY1xK2Fgxa3 hJrNqmWgJXA+oLTUfRKmadkADXNCLj1XfRpNDxE9flETlys/sUwGVnfp23o1ETJzeZmdFv9c nYU2M48ENTF1e5maKJQn2NRkBSs1SC9uph/ca6kZaBpNr4fo9/470poB8iW3eWoqBMvJ1F0j ONOHxEP6euyGFR2Du8Kk6VzdjEdv0QcE+A0yaeG51KIZAE+AE3fbrWbImKLDDDz7jUzcAbdm kDcfrkfuUoxmyJPIu2NrBsAsPi+jGcAPja/GQyuBngre42fAU10fyqwZIs9Zo97AnhSzJjLQ scDLLwPDg/OYekBHMeQ/NFHlcs7DAQUpwePEA52KIT+iiSuehXlmKa/2Izx/97x/+t73JRcO RG/TK28tpbbEYRuorWhAQWgkA+vfROiB9f3U/z0c1pHrl83T0+fNwx/Bf4Kn7dfNw3fX70rA cRy/yMF+0VAa4TZQRcQMr0z4SuVxKXs31+paGmMsGE1ur4Of491hu4L/f3EVXWMuGN4qcI/d EKssl67PUME/XBxUptxAUVkjuVXeAWvyVVT0YYOTwu5KiES+r5D1TQ/v9bRKMU8lOyUU71I5 acu1jwK9JPO+DX6Suef+gSrdI0J7tdTK0r/LwdN7OXhCldmXHbMk9fh+SJl797Nqg8BbGF2J uvfrUaLd8XTYfX7FYrKsf3UIOTz8vjttH06vh63B3i6YmjNhHcbi/OqCXjWh9qHoMhe+5E7d F/PcnsnleCQihWLWL3lomrBGLuKegTsGmDHbSpkaTUa+++Btp4RQ/PDD/n0bEhKFXHouh3Vd FdMfBXXyUubLvptqv3JemDcHTckn80sji2SVbeHxZjQa9Y88O1+FFmLHdceYsCUzSN/cLxTU 3Y5mkVsXTohKfHcSE3eSigT3FkGKT4lvrWYJaaVVWK9bqiy8uXH+kiajcyhyEvWMOrx2p/gh TTFOeD5Vy9ZuZVCfdSg+yzM3TMTBPMnQvVQs7R/QmR1d9Xp7wvgLkKz5ZsTTp/lVSUaQIDS0 n/TNqPlKXwy2Lk4irYcdLqX5f8auZMltXNn+ipZ9F/e1SIkU9SK8gEBKgsXJBDR5w6h2VV87 XrXtKNsRt//+ZYIjKCTYi7KreA5BEMSQCeTA2UWcjcZXx3OOlkLQanVpty4bUy7zlN2BmKBG nOpg62RN7epSGW+Wig9nQVkTduCkYpY3PyapNC1c2ku1sg+eHrb3mR62d94Bnq2ZkNyo13R+ s9wC/VHkxhg8JJnIRb+a2KWGCfBYcGyuDY0PSypsDi7ju1ozveFBqW+3kZbQBdAJxF1ekp3T xPBl2yX+bN2Tj/wojJ7TXKnzUsLwyGHpytD0bjqlPJZ0NEo5lvYIduMbzuyaCOs8LiI/uN3s UK7ME6CE2tZNiOh3+rrpF3GwG4HCdWLoiht1CwCE1QkiVHHrJXETANQ9RNSbfeYtbbZi449+ Y2ZUEp+YKC63g/0h77OZ3thq/8Zke8moCUmeiOfI031GTsjgKSwvjI6fpbd1TZ25pLeA1ncA lVcnvLfFSB3XR/DK7KAnGUWBB/fatzpO8mMUrR/MAewlFxJmLOu4yO6VEdYV//aWRLPuE5bm MxJLzlT7sGFmay7ZdRMZrSJ/ZsjDr1WRF5kx+vL9zEyZ2984Wm2X5rzrn+ZbMb/AymcsAjr+ QmzXfkY3FiejLYBfUAtO63Kc5AdhhgY9ghANs6u1Ae8JGhbvxYwy0pwjjQv9kLIVdc76ISUl uw8p0TngYbckr8n7rM6I4xqCLo1x2Yw6wgVYoQgnryqbXV2q2HjnKlyuZ/palaBmY6ywkbfa EpYCCKmisBRZRV64tXbAChZFyaQdQyeeygpJlsGKbjjwSFwbCBPR8Z1J8sFeZJGCHgo/Rm+T xKYFXK/3+I1mupoUMLOatkBbf7ny5u4yo5UJuaXOXYX0tjNfUWbS+PBJKTh5jgvcrUdsWmtw PTdByYKLIk9u9o0FqfQcbLyeyqBX/4NPd87NiaAs71nCiGMd6B4JYXGMvk05MQWL80wl7nlR gnJmSJ1XXt/Sw2RoPt6rkuNZGTNgc2XmLvMOUfMS1ldGbWBN9sQey7uYUzf8WVfHSXwRAwUh BD6pIvYXu2Kv4uNkg6u5Ul8DqrP1BCr88j6O7Z8JpOvS1mwoHbWuGSPtFS/uzmbQIX2NYxge QU2pDUeoHSM2Q7uC6+x8q7NMgMjjIB4FmouRE7jmwADjuEFLbIYipeC4MUXjrbZraZzyeE/F OFD8Fa50h7jw0AX82ZlF2rbPsxiLsO/dtDtNNAGj6JGgipYrGobPhEZQLjzauPB264ckcMFZ TNe9VXpJPGbQ3xzFxyWKdb4TVzzyPHcJ68iNh5sp3o0icUv0pzP0NV6m0HOpErWKWN+u7E5S UjTeUt7S8zjNuSkSa9WbWRwkcJqjNQUnXGhVfJ6hHpp/TEGZfdqEuQ5JwOjHf+jusktsjXDl wLVoROMgHjnfDZdrGlSgwxOn+7iZDROz4PTDW+MFEr9hcL9bfYBpxa/wXyurLAlbN/vOD7pF aA9O7aZnzOcIcabsUyuCJ3al9tIRLpMDk2f7IS7ilUojj3AWGXDamwNW5U1EKBiIww+1eYaw KI928eg6ES87/+P6GtsOOJA+HMlkjWxvw8xIxvCnw6QN0IDSGs1Cs7GH+hga7c5b0G6j0gJ1 W1kEVIH8bciMBXpk2PtiJWQW2AyexoUOezI2MAG1mGzTiplOxQbWK1o2cOxfMAbGsaTG1xXB /3iPx6rWGNLrd5LnvVFXot3QF9cv6En+22O4sH+hu/qPl5fFz88dyyIzXKmj2+yG51eERDly tx4WJBnbi8ovhrDU+ql8//WT9PAQeXmehJ2BC/V+j7FvU8ogqSFhyAMqWkPDaMLnnzKimzWk jKlK3KYkXffzj5e3V4xM39v0/ZhUHf2+ZTLxdDUR9LG3Bsua0CQsn0le3955S3/t5tzfbcJo +rz3xd3dGsllDp/MKqPv9+Blb9x5Su67glXGqWl3Dea2Mggiu0PqhLS1tNJAUaed/QkfQPIh PANHHN8jnIJ7TtxGI6nCyG6E1TPT04nwU+0pirNw7dlN4sakaO3NtE2aRauV/fyp58CY36yC 7QyJiKw3EMrK8+0HYT0nT66K0Hl6DsaEwU3nmce1O0czJFVc2ZVwQB9Y53z2ixQwxO3ndD3l pmZL4az0PEJ66Ek7a0CS0WAeacT4J8wRvuVSzdJxaJnh+u4e2y7jXir8X5Y2UN5zVqIg6QRB Ut2drZTWQtQG6bRV2sPV0Ot7PElxRSMs/0aVSFCCIPZpR08rzvx4ErYd1oG0x2w0rbXJ44Oy 6RaEhmRSCWILqyGwskwT/XgHCb59QDksNAx+Z6XdiLDBsblIb9aGcpGghTNXIcMXdZc08Cbu mY/LC4bCsx/pNhQdYc0uOLcEbLpmDXMtyJPQq4OWlYm13Yv4+PT2rGOmiN+LRec/2CkwmNRm tNOCf+K/bbi8QdHRAIjO0EMsXauBU7FrhurktooRdukabW2SJgVPnyz9bOKROi2m4jNlsHJH Ec6aYYUOLEus7uf889Pb06efmO6qj4XQ6aVqlDzxMhJ+eWPR14QkbBLqyDGzIwzXjtfHa8Ab LmNM3rhJ+dO9TC5u26gu1X1UdmMuSl5sw3b4QWi2GksxSHwTp4dwEMyLjwV1TlgfpH2HsM3m aQ9vBJJYkw9i2DdKLqdJVJLGo+Pl7cvT66PJYFt1HRGGjw3ZWiBqMus9XhylUdGmwJNsl2Pm HvU2W/XHpIdvNwaNwN1joD2ztyB5VZ9ZpUYpJMdohQH7s6SnWOud3EB/ionod2MikyVmV7pg abPkmB7ife2UH0XEgc2IlhU3m/VXSyn2YzepJsDJt6//xjuBrXuDNjq1GCi3JeDrpELZbBpa hhkze3Rx9Dmnpb4nOnoLS85zYhOrZ3ihkBvKA7YhtXPle8UOc1+lpc7R2v2vUs4yYYJ1wVVJ z70A72Vap+XcMziex4E4BHrGQfAipZy+GrZOG0DshcEU3Ca/sXzn46ULoTWaaOFak0hW7oyD rNYomjuMsUWZ9YnmbI+7tmlK3v012uHpLjb5cUSREaeAA9HhTFmttqFdqkKxDHf9H+bO1uPy k2UZG4rF6MZ0fDPF4ccawR0+zVSEgJ6W3iefq1GiQQR73PswErf5vNa6A6ZxNC83+WeMDQa8 qrO9EPo84PYA3Yi00e3MFI0IsPRQ7IbYj1jpXrAy86q2rbsAQRquf8ZoJu7cmE3xwgtWds26 x0MiilCHEz5gGs/iTWBXuFsYzbhJXESEl68GKb8lBNEfx94zEc21QY595kBcChkEW7pZAA9X 9p2LFt6G9hkVYcpdqcXKqrB3Vp30cPEHxsJrvubit7/gM7/+vXj564+X5+eX58XvLevfsDh9 +vzl+7+mHzxOMFOWjnDo9CqacgnnJ6QlWXKhm7KgNx30d+Iz7k1Iqk4rujWlyBThzIJws9I8 NGjyX5h7vsKyDZzfmyHz9Pz0/Sc9VGJRoA54JjQ3/TJN7D3QSA5HQufCtyl2hdqfP36sC0nE DUWaYoWskwvdKkrkd2v8nuLnZ3iN4cVGPWb6UmR2Yw2mjIgJ2fQODCJJR0DrKTiFzVCo5VSW hPdwSYj+RyKuQVk+LgClKhefXr99+j9rhmRV1l4QRU2+1sfu02z/NyYDOlEqGSF8dA7w9Pys E/VAt9MP/vE/xiNFzlVl3+s4lND7iDiyV/sUWRZXXFEuhOelRmFkWq3iGlSeYRE3jnTH1115 s9FaAKn25RsDitLwjikQIaF46W8In1KDYn97g2KfnTqK3BHZP4/ouViReHf/7oNPBqHpOBm7 eZuJPSFFItxn2toAKdoScf06TlpGG3/jpMRJm4wNH7oOiTW6Y8MrrmGddzdTtlut7Q/tXvDA zoekThX3t2ubid/xmpk+ZfpCN9McxeNpUN6ExLDMbn38wXiz9ohQJWOKfcN/oGTektiGNzl2 ocHk2Bvb5NjPDQzOarY+W5/ocgNHkY7JJmfuWcAJKVVsxJmLFqk5M20o+Sac+xZ6E8FNUbfS XUgsw5kYmRijcqYmIjiBmGufuTvOfuNFy8AuCow5kb8noub0pGC1CYi1tOUc0sCLyG2DnuMv 5zibcEmE7xgY7h5xFMfQI+Tovv1UZJ9UOsJ7TsyYHQGWmsrzZ74kZkFjlIdIx9ETl7tzas52 5lmKw2zq7jbI8Ym4EwbHd7+85szXee0TB7Emx11nXErCZeh+mCZ57tlNc0L3jIycrbtnYBjV ueGpOavZ6oThTCfTnJlouZozX+eVt5npQBkvV3OrkeIhkYik/6QZodgPhM0sYaZnZRv36wLB /ZnTjApmNhDmKklYDowIc5WcG9Cw0M4R5iq5DfzV3PcCznpm2tAc9/uWPNqsZoY7ctaECNlx cgU66DGpMB8XuWPaUrmC8exuAuRsZvoTcEAncLc1crZLd1OWfB8FW0JvykhttL1bHtXM4APG igigNzD4TBmOPahe/sgSb7Nyf6Yk496aUBhGHN+b54RXn4q611U6k3y9yf4ZaWbQNLTdambG lErJzcxqKrMsnFmXWMw9P4qjWUVAesuZdRk4oHPOlAOtGc2Jjjnzl+6lCSnk2U1PWfmziwUV zbEjHDM+s7qprPRmhqamuHuZpribDihUXP0xZeaVL4KFUegWYC/K82cUn4uK/Bk97BqtNpuV W3BHTkRFJh1xyOilY47/Dzjur6Ap7k4OlHQTBVToaYMVUvGnB1bob45uBaghJQRLL0SEodCV YaaxwpaJUqJteyGl2E2OV6UtHduOZ8xKR+BhbyL79frzy5+/vn7Sublpx6FsH9eMqwhUC8J4 CAlytSG6YgcTmkCZCd7YchIqkL4fbc9rjLLGiWQYA+uYciKaHHK0qdWSmJM0Id4GGy+72o/J 9GNupb+8kTZS+oVitl0ShwJYBMKBT5tZdRR7H+9gQn3tYfsgamHKHULDaU4XDes1Ols7K38U oJB4uimsHJAu6pJJwe1VTEteC+L0DDHqZA0f/Z7lH2ueFVSgBeSckqwk4hUiHEU6gO8MTn8b jYdEThHdhLipGRC6R0vYbKjdnYEQ2XfqBgIxj/aEaO0kRNuls47RlthP7HFCOBpw+1qqcRVS spWGk3zve7uM7oQXUWJEY8pCCylVouxJoBEEKTyAQUS3UBXzFRUhVOMqWLpu54EKCK1D46eI EDU0mgcqJKRBxGXCHVE8kCDWm/A2w8kCQpTR6OkeQT+mpwoUka0g292C5WN6F/NmkJIc6F1y yo8WYIVhwFer4FYryZljPUjL1dYxCPCognBEaB+TZo4exNKMiDivShl6S+LMAsFgSYRc1c/V BMfwbwjEvkBP8D16fOGrwcs7FrGWERCay+gpjgZEQkQYI/SEredeK4EE8zUh56prCvqlo7MB AWNpuHvjNfX8zcrNSbNV4Bjviq+CiAg7r+erW+RY8FklPhY5c7bDNYvWjnUL4JXnXriREizn KNutXR2rksM5nYabH1DXhIS+d/rk1mZUfHh7+v75y6cfjwZRlwPGwR55xbcXdF7VQ3mW77yw t74yY8jDn3Vc1ux8cxpGaZo+4cvskudAkEm6J7IzIumUyYfsod31/c4K7XdozYdxzbRVtA1E TztMyMnfeculWStM5llDw8Z9uk+iZkplYwuul6+fvj2/vC2+vS0+v7x+h9/QVsdQCvCuxqRs s1zap6GOIkXqEVZ4HSW/lbUCmXRLGMI+8EzZdcSqWDyJ+zlc1fbspSKSkgKNZTF0mYfex3i5 +I39ev7ybcG/lV3erH9hIoQ/v/zn19sTKlCdhRtGbE+//PH29Pb34u3br59fvr48NFxenC8J sy8biF+o0CcInmO7FqlfgEgThVh2YAefmBwQ56KqzrL+kBDrmW5Hzqo6vtbHmLBv6Unphcj4 jowPN/oVdgU/0ne2VqeTrzQilCzXDsVdTN3vr09/L8qnry+vD19BU90VbShSkPmOR6TGMa2W YRIxRjdzy07EqajXq+tl79n0ft0SOqO9OeSbu3vEeEvROZwudm9fnv/z2O1YztDb6wa/3Ehv dt0VMK97TJgq6enunO30TBsT0VD07AMti5kki5jKA4y9En0tjqLEfdK41BmfDkm9i4LlZVXv 7dbzegjBTFCqfLUmDgqaxsJxX4NsEBJ7D8iSQmyXRBTXDqeOPvTcicF34F8eruCN0RGXpjaR 5BtBYBPaZS9NFLXal5ThQzcbsviyCYhNF/29K14e6MGsA9pAfQgNSn+dm9zbTQOaWub3mDCL 1B3gIRb7Q08uKpHkSq9t9YezqE59+rz929NfL4s/fv35Jyw/8dSVaL8zwtd1SbFxrbM8DxZX nqGn7mg0wbW8UGJ/Ny5x+NmLNK0Srh4AXpR3eAp7AETGDskuFeYtoKHYy0LAWhYC47KGF9xh iL5EHHLMCyqsIaK6JxZj90+4GCf7pMK01mYQW0AyGJmt1GGfAoGjRKproyYR5R+/0efO7Nuy hYjtpJcX6jFlZh+geON9l1T+kgoxtcPYRCk0iX3l019HKhJ0ux1jm3qxR8YWxE6kgylSaCWI FEVYrw1h/ISfhqmqIJ/ZiDNke6i7R5zuNCj5qnbVBRF2oYxPECWyZ2DrJAX0Z2GfYQA/3Sv7 Lh1gq3hPtsClKOKisE99CCuY8sm3UbB8JnR/YZXdYVV3U7JQEHoyKgobtlEm+Zl+H0qow26y y+rDTa0DegSgVHQmDhewM3UhR0nCDpqL7uI6uos8JoSfru4BpISk333j2dxjd4yftCl6nfK4 0/1GbphwkadMyi4i3MhNCDGbWf5DyUYBfz/ibUIR47CkB0vQdNceqP6Eqd7AZHEZRVQCeZNF WBiOGiNbURY/I9Il8JeblEga39N2cegRW7ijalX8xnPbmoJy/rsh7duPb686q7IWN5tp3q6R 80eHQLgMv9Wy2CsMSVKkKVbAJhzofOh86iFqXIb/03OWy3fR0o5XxVW+84N+GaxYBhr6HlbC x5ItYGt+jK5yGasME3MbuyoaEcbaziByExGfi7Ml7c8RJJiHNoWLhtkxaPS9dbiqkvxAhMYC IuVlfj5aRSUsehgTjTfx95dP6ECKN1jWdryDrclQDRrm/EyHQGgY1dk+/2i0pGaXHhV2FUPj 54qKMqobMklPwv7pGlgVZb23n+oigR9BvLKvqQ0s4C8Hrne+aNiRYw1x+L6HIq+o1HlISXB7 ia5/kibUmWoD23uvxj6eEvrNDkm2E8TZi8b3hO6A4LFIJ27kBgzPdXeo051ukDPXAaRJ/MpS KrGerve9okc7EjAcJf30iY+1gb1nu4ruC+oq8iMRkatplFyCmE6F2kFKymnHFo0neXGhPzi2 m3Oka2FPBwlxUO57WJTpMkBX0Z2aLkFHdISFhGYUGDzO0TcxaoZw96CcyHjWYJWwm4wgirmW 6K4Lii8ag6SFY2iAUpJh5AkHQbH0ntNTZol+4kSqYo1jeB2QCgUR30lzcPWjH1GhWOno6FXB OaNfQTLhaiZXoCeNowNFOomUYTLIrGQtmqToMU+ofppzzjHKKv2GlJcfzhIYsQZUU3o463TT 74u78xFKOIYjzFKSciPR+BFUbpUxeFd6yJ9RRKhLQvlr5kPXAnET0FdJ9GNSFc4XxKCGZBZN 3Uzavqo+Eo6geoVPLe6T6HlqFaYwIKdFoCqJhM4tfXI8NHi7G4/o79JO81YJC8srMEEx7qqA 8Nhs6Izi1AD+oAvp+KhFlhUTIojux/rIZH3ksYGYtCakivFKLM9hhuEJBmdr9aPHNsy+/Pj0 8vr69PXl268fukXb8JFma8bJnsGEWuNGkpBq+qj4njO0iQL9uCB2mnSjqEN9PQoM50UcY3Ss Xap1F6nIXoFMKj0fYlfdoDu2t3cbDE4wpLkehTA0CuHh5rZc1pOM8CPCDT9z82WMG/X1eHfg ZvzIKcMIhDNcHeK8jKCEeJS+XhWFbqpa2Y4me5pS2BkkCLSxpfCH2nSPtCbo1p/qdva95bGc tpBBErL0vPDm5Ozho0NJjpYuhte3XH2sezFX93NLIOskU4z47WJUEQvDYLtxkrAO2uE4myyl fWdsw2jy16cfVjd5PZi5fX7WY7/SkXTpoRDT9yrzbKBxaS1U8r8L3QSqqHBb8Pnl+8vX5x+L b18XmHh+8cevn4tdetKBaGS8+Ovp/xu70t62eST8V4x+2gW2fZujaYpFP1CXxUZXSMl28kVw HTc1WseB7WDbf78zpCRTFEcJsO+m5jykeA6Puf62wtHl78Nu8n09eVqvH9YP/52g4blZUrz+ /Tz5sdtPtrs9BpL/seszmgZnD1aTPGLxbaIaZ72v4gJWsojR/KXFRbDTUxukieMyoOSvJgz+ TZyaTJQMAkHo3tswQqfEhH2r0kLG+eufZQmrAveRxoTl2YjLQxN4wwQRetpENZdgjADsvz4e YQad6F2dO3UE1NpmnZQJFxjfLh/RM7LD0Y/aRgKf0gVVZLyMjEwnXtBKLyq/4gIB4UVKbZ9z Qku2IdJey1GwyoOQ7mBkvp/7z5Zdt1hBavtdPfB62WXrHxmI/GHKCd3lhkqYoCteF1Ql8Vak qzaTRBgPxZR5Tj2kKz/v4TQvyRuyQoww83ae+neffUL5WsOUNQA9KgF9g1bbYRlw5fCT7iN8 EgtgdBPCCa7qKS7hz2xKTw9CRVrtDALDMc64J0h1L9WUfM4E9DmNsPWlrNOLVNGlYX+M+KKs RtYRl/iWTWgMIOAOctPTJrxXPUvEhlVrtFJu/s8/nS1oHhRLOOfCPy4+EXZEJujyijADVH2P fqVh+EIx3kV+zHJpPcN1i7H4+fewWS1/T5LlX7fnoCwv9NHSD7lb/63lExeEIjDSpyyYEtKh 8q4gvB8pVpwUnPSuU83dHZ1SOt9hSrubxWsOrAn3l5gPtx/JPZ5wQjzK4f8z7rHMvSRE6WtR k5MapIy6YQHJq6LhtUreZT5qD/TOOqxajC5qKoQlF13QDceWqHWqDA1KrWOVhlnlcPhHedpq yB6qIhIXrwaiPPaS9VCBmBzfxeRWi2Pkvrra7w67H8dJ/Pd5vX8/mzy+rOEu53J7WbKppdPQ UPzkBk+u0IybyvCKHbNZiDQ4UIcFM11h6os50k6ysu0WTsO+8t6ktCQw/IL5eSwoloF7rp4K BCb96YIwHu2jCB8yfRARMLsPIgSUBsgP/PAzofVpwSgDERMmUbujJqISGsCZ7y4rnsuCZ04/ WHoE5O5lT9i2MZ54fUWLdsHDdyvjIUbrIa+f1vvNaqKIk2L5uD4qP1uy7+VQrLe74/p5v1u5 vinCFA6MhciHdyvxvD08OvMUqZyOebpUwkSMHjMoU8J3/iW1b74c5iR63ZscUKb3A1pyetrQ 2qvb37tHSJY736iGInn73fJhtdu6aJsP6cKVfvuy/A1Z7DxGrdFN3KDKi83vzdMfKlPjm3Xm u1XbCtTGnsGl7NZJDhelT9mNwMAQkjxOdHtWureoWRqS21oxd0Q8EbdKx9rh8VPcNuGp201A pPUUX9PYos7E1zOjkhh0lfys8qWGIusShe/ECTdyXPgxRpR8+a4dN5oD0ciJxwK71TdosoDH JhKFDumKBavPr7NUHY1eR2F5JCqFw28MF1C4uKVXV8RZX0nBfCLGS+q7jGvF6dbInh72u81D L7peFoiceEFOuJfNAk6ZDxAilmzmcu0dzyfH/XKF91Xnpka4Y1Th4AglgaggrgARoQEsOaGa JhNuO6fQeoIb4JF6/pg6nBKZLOtHXl+U50CgVu6FRTtRLoFyWiMqASMVRCrUd3lukSL0uoQh DZmfWJ9XRBn6laCOggoUZr64K0gxsMIMnqMa4jcv6IUDwN8kGGqTej7z495JUIQc7uBAI/rq G01a0KRpJMne98qRz2U8GckandM5gWItgBPBHKKuX3E7jmR/0HRa7eERoM4L1xTBo3SN9F5M gBQd+MP99c6mm/VzD3VHt7WIAzuB6wRlfdIrmmmCs19uq7x0+XtHD8yR7M92nVb3eyVS09/d 6WgyBJcIi6wZyXL1s/8GFkk1+4bI4L3I03+CWaDW92l5n7iOzL8AB6ZqUQWRqwZBLv+JWPlP Vlrldt1W9lqfSsjRS5nZEPzdyqjQHKHAN+TLi88uOs/RGAy2yq/vNofd9fWnL+/P3pmDdoJW ZeRWs83KwYTXO+lh/fKwm/xwNQvPg9YQqqQb+/XQJKIRbGksD5WIrUPhF4eJbZHgJJEEIjSE iDehyMyughLNn2VaDH661qUmLFhZGp+E/SsKal+ErOwxL/1n0EVtLi71zReqUsKN3syZC5ZN Q5qbsGCEFtG0UK1wihrTGYGk4rBSTHOkrt5IdWiSL1hKkORtxWRMEGcjbD/lGYwnxSvSkdYX NO02W1yOUq9oqhj7aIHv/IQjxDs5I7kNNd9ax8j9KdcSoz5rwd+zc+v3hTlFdQquDte3kHhp w+XcKQfW4PrM+tplbXy/UBVUexe7y6vSpiThwqRu7bJrpbiddjY4qFEIZzKefX33a71/Wv/+ sNs/vrNah/lSPh1qwXXDl5d11udlmBF3pCa2TpA5h6IBIVOC82qQ2UW4xL9TFTOnwFgRhvgX t3L7p+5641u2RoWsMlH49u96akYwa9JQeRk2ikxbG55moKbSgkg/LGJybXOKkAeMZmvUvE7M eZvIdtty72sIaLfG+pJw2dYDUX7d+iDCYV4PdE14orFA7iufBXrT595QcUqZ3wK5X+Ys0Fsq ToiLLJD7+c4CvaULrtyPdxbILV/ugb5cvKGkL28Z4C8Xb+inL5dvqNM14SwOQXAmxblfEwc3 s5iz87dUG1D0JGDSJ0Jnm3Wh87cIumdaBD19WsTrfUJPnBZBj3WLoJdWi6AHsOuP1xtDvHb3 IHRzbnJ+XbsfwDqy+3ERySnDGBkpIX5tEX6YlMRb1gmSlWFFGMB1IJHDPvvax+4ET6gomC1o yshAmR1EhIQmQ4vgPgqeiZB3LSaruFsY2Ou+1xpVVuKGE3riiLGvX+qKdaNOLZOfyxVGu+5J XBrZkZfnrqOZCorXxMZq3/me95un4y8VPuNhuz48GmI645KGOVRIDUepfmMhlOTTJJzhmabZ hD+fLklSIh8ZIC6NqwIeqJoPBaEl/msFTs9wq3x/3GzXE7jBr34dVLVXOn3vqrn2WYKxo1zd kWFgznrORGYE/zMeYjQ9rWSJFjC+EftcWUipnF/PP14aMadlKXgBPDGFg3pKPVKzQBXMCO/u VYZhrbEAL0+IC4LSQJpnlNcB1WznkSmGr4dCdg2y8sjQV4dkuKGm6LLRUYIN0R2YZ4nxHqR0 ducYzk33lAqCC5+1e7BJH9ZDBYeq5yG7wWNv7ReEAyq0xcA7kbh11FQXpU/a7XxP19vd/u8k WH9/eXy0lo/qVRUkUVKPnrpIBCp/NPTgQMtknnFCu18Xk3vfoC+Jm25SeS3MXRWFkHCpIQTy ejxLlJdUkjJt1igiwlHjEkiJjGAREQyv6RI9SiiacE0731cq3JJlfj5rYoAWvmP+xbw/lPq9 DEdrkuxWv16e9aKPl0+PlpgtKvEGVBVdXBWitsrqMUY/JiWT7p1gfut0WGqMcAbTDtZA7n6J 7dHrGUuq8OvHPhGZKV5Xu2Slk6x7oXfbwmR6lHUuPcphFuhlPTJM+NmbMCxcrg6wf08LY/Kv w/PmSYVI+s9k+3Jc/1nDP9bH1YcPH/495LGiBEZZhgvC1KQZXYcM255trxbCyhw17WUCzRiB NQ/dNSt457TKXax6Uof5grpXtCLSfK7r5vSAZfB/GAk1vd2FIKsEzgE8Hq1aYOh0gMeRdtxo LkGyN/hvhi4gZThcTaSVQbNm+WsIOca+1NM+pxxrNBGDRIh+CDjrb2RaE8Cv3HwYCMhPInow EEGNmAFBhgQjAv3dLrfzM6sQcqiQGt7KkXcO3ULgFXqzEvQ21YyUmmiwv6Dwnjg8Nl1ah0Lk AnjuN73ZOsHNY/4oJoEjTebfWbae7VkA1X2iKtP7ueoKMyxqjzoVrIjdmNb2JVLUUWI952WM LvSk/R1NTlUwagD4uTBOYkjEtTywGeo+eeqUfnOcnQJbDGwX0RhE89URQDyHrh0DNKfHVpCi kYSfTEWrZcYGGurt6RhVUWMUcKinzizPeo1u09HgqVQRrHUGgo928CQZB+p9ZaSRrQkEz0dW kqKok17twWSMU8r7SJAyxa4pOXEb5BpXPE4HW31PKdEqmymZE9GGFYSkei3zVkx+hP14Jdwi abo61MK2X4/DgMchhyLpeqe7uhzfclST4nARVKl7P9RthotJNh11haRwNwAsCd0HHTUQ72iE A3ike7xMCaUTRa8qQoVEUVFsGyW5W8VZIQScI+MS19ZIb1C213qG3BCR6VX1pHJ6UbhF1rqF hbv5EYcDGDT/lVneqHoPnVVaA6bkniMVHdyS7QFnJfDdm/BubLTTnHAcHabkhNN3EmU7hHYf oqJ1RCRD2QshrfJk/3VEq/KtVy/7zfHvUF0YW9JjetoSE04XSMLZTQghm7wEl1Zi0TCgIUCo gxi9aGlpEBVtQavTYDwYqTTRYMH5xCFxTPWmJbpv77hXKkeuGVQZ5ypO1VrdRZmWhZ92KBtG sfhSqeqHAs3zNH9wHjb1PnZqJzOkSDb167t33c0P+zfvtIb3f5+Pu8kKbd8616unMdZgDFcL +4ChfWwmnw/TQxac5H5G4hAKG5bPixjOMDa+owwzITtxJg6hIpsOSoY0J7B7BhtUnazJTVE4 mo+R0HvaVu03pFvprSEHbh7ZUEM/cL3+NNSUZWzq6MUm3VUbnGKvFlgHXKpzk7quOUqZRmfn 12nlet5sEFmVJIN6YaKrUoX6SxeGYvPbKqxCR171x80+20a9DmFVGQMTGoMQF5x2nLIpOn3c NmqbL8ef66fjZrU8rh8m4dMK1xvGPvnf5vhzwg6H3WqjSMHyuOw9HTdtIqxs294fJ/sxg/+d fyzy5O7sgoge0a3PKZeUEz8L494GTdA5FT23GYhcVPKK8EVoYuBjoyAZ3vZtiOxFEzOe8Vk7 HJ7Szd/uHvr6Zm13eaPj7hN+SVsy4eW5I1PaNU1NRwtPhPsI1i2b8aovxj8OW+pc9A+JWvN3 efhJ91bad8RrsWOgmt7z2oq8UtGZVWjjbfhxfTgOdiVf+BfnvpMR+IRg9wQozz4GRKT5dm2R p9a209+wqtKAMH9pyeO5OczfMKmpkDbtvpIGryxcRBDaBSfEK2sWEBdEdJh2McbMFcL6RIUv OOYEED6djY4XIIjo3g2d8JHZMuypoALrtdtKYdVAz/fN809tCGJzONdOCKk14b+pRWSVR/gt bRHCH50vHlzFIkpA2U5uloZJQjgB6jCyHJ15CBidDQFxi2jI0WAfH/CcmN2z0a1YskSy8RnX bnDjWwThrqiji4JyzdrNr9FRkQX1yN+dGEZHo5zn9qB2Etb9+nDQrv6HIxDha+LornHvFvQ3 5GsigG+Xe7TVQI5H2dK9LIe+JsXy6WG3nWQv2+/rvTZua2MZDJeL5LVfCLfFZNMJwmvenewT pqKoXWi4VDXNYu9DyKDMbxwdYIZozlTcDajqqcJ1T2oJ7cXFdRLXcpHmojHWqx1YELJMG4cX r5F9eu7qn3BWZxzdQdd+ln36tHBZSxjYxpx3yNqR6PsidM9SJu9SdBSsn0WU2fZwDaz3R7Qa hEPyQblpOWwen5bHl32jc2CJKrQ2reGtqXmKGJTriJfRvU+UIkS7ZePpXL80MEP7vDVEk6XI fLjyRyJPW3MLByQJM4KahajVz03Nyc7IzedDcyUfQ9r43OlWCWhnVzZ49KTj17ysaqKsC+uG Bglj8WYaQML90Lu7dmTVFIqpKAgTc5qnIcIjpN4+vXP6bgWxhHv6BEllc5+otIBwvCfuoWzU ckm0FUL7wXtcEPg4gB47zPRLZ/riHpPt3/Xi+mqQpmwLiyGWs6vLQSIzHXmd0sq4Sr0BQRZw Jhmkev43c3ybVCoOUde2enpvmpUaBA8I505Kcp8yJ2FxT+BzIt3oiZ5AwFCTkTL3Oaz1WQg9 IpihQYPaErAWw9ROQgFYrdeokR6YlZbTRD8JGsrRISoXpAxzqjc/sxaorKNkL0Eg6rK+uvTM MA9ICThGeKh7cRfknOdlYowgyjJEr2bBrcnBkrwX0QJ/j03qLGlMbU5rJBcBcTOBmjvTubjF e5PruQjWTBQY7cyVv88pMHFhBszIs9KQO54e+yHdaYSH+Os/11YJ13/OrswBgkrlRt9ILTXp KX5ogY2rg/4PQqQjlhAMAQA= --rwEMma7ioTxnRzrJ--