Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S942467AbcJaNDR (ORCPT ); Mon, 31 Oct 2016 09:03:17 -0400 Received: from mga09.intel.com ([134.134.136.24]:47113 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S941020AbcJaNDN (ORCPT ); Mon, 31 Oct 2016 09:03:13 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.31,575,1473145200"; d="gz'50?scan'50,208,50";a="780323856" Date: Mon, 31 Oct 2016 21:02:47 +0800 From: kbuild test robot To: Stanislaw Gruszka Cc: kbuild-all@01.org, linux-kernel@vger.kernel.org, Ingo Molnar , Peter Zijlstra , Frederic Weisbecker , Paul Mackerras , Benjamin Herrenschmidt , Michael Neuling , linuxppc-dev@lists.ozlabs.org, Martin Schwidefsky , Heiko Carstens , linux-s390@vger.kernel.org, Stanislaw Gruszka Subject: Re: [PATCH 3/4] cputime/powerpc/s390: make scaled cputime arch specific Message-ID: <201610312023.boUecf4j%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="DocE+STaALJfprDB" Content-Disposition: inline In-Reply-To: <1477917389-11341-4-git-send-email-sgruszka@redhat.com> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org Content-Length: 35422 Lines: 512 --DocE+STaALJfprDB Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Stanislaw, [auto build test ERROR on powerpc/next] [also build test ERROR on v4.9-rc3 next-20161028] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] [Suggest to use git(>=2.9.0) format-patch --base= (or --base=auto for convenience) to record what (public, well-known) commit your patch series was built on] [Check https://git-scm.com/docs/git-format-patch for more information] url: https://github.com/0day-ci/linux/commits/Stanislaw-Gruszka/cputime-powerpc-remove-cputime_last_delta-global-variable/20161031-204221 base: https://git.kernel.org/pub/scm/linux/kernel/git/powerpc/linux.git next config: x86_64-randconfig-x011-201644 (attached as .config) compiler: gcc-6 (Debian 6.2.0-3) 6.2.0 20160901 reproduce: # save the attached .config to linux build tree make ARCH=x86_64 All errors (new ones prefixed by >>): kernel/sched/cputime.c: In function 'irqtime_account_process_tick': >> kernel/sched/cputime.c:388:36: error: expected ')' before 'CPUTIME_SYSTEM' __account_system_time(p, cputime CPUTIME_SYSTEM); ^~~~~~~~~~~~~~ >> kernel/sched/cputime.c:388:3: error: too few arguments to function '__account_system_time' __account_system_time(p, cputime CPUTIME_SYSTEM); ^~~~~~~~~~~~~~~~~~~~~ kernel/sched/cputime.c:191:6: note: declared here void __account_system_time(struct task_struct *p, cputime_t cputime, int index) ^~~~~~~~~~~~~~~~~~~~~ vim +388 kernel/sched/cputime.c 382 account_user_time(p, cputime); 383 } else if (p == rq->idle) { 384 account_idle_time(cputime); 385 } else if (p->flags & PF_VCPU) { /* System time or guest time */ 386 account_guest_time(p, cputime); 387 } else { > 388 __account_system_time(p, cputime CPUTIME_SYSTEM); 389 } 390 } 391 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --DocE+STaALJfprDB Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICGA+F1gAAy5jb25maWcAjFxPd9u2st/3U+ikb3HvIo0tO4577vECIkEJFUEwBChL3vAo ttL61LHzLLltvv2bAUgRAIe6r4smwgyAATB/fjMA8/NPP0/Y2+Hl2/bweL99evox+X33vHvd HnYPk6+PT7v/TFI1KZSZ8FSYX4A5f3x+++fDP9dXzdXl5PKX61/O3r/ef5wsd6/Pu6dJ8vL8 9fH3N+j/+PL8088/JarIxBxYZ8Lc/Oh+rm3v4Hf/QxTaVHVihCqalCcq5VVPVLUpa9NkqpLM 3LzbPX29unwPwry/unzX8bAqWUDPzP28ebd9vf8DBf5wb4Xbt8I3D7uvruXYM1fJMuVlo+uy VJUnsDYsWZqKJXxIk7Luf9i5pWRlUxVpA4vWjRTFzfT6FANb31xMaYZEyZKZfqCRcQI2GO78 quMrOE+bVLIGWWEZhvfCWpqeW3LOi7lZ9LQ5L3glkmZWz8nGpuI5M2LFm1KJwvBKD9kWt1zM F95WVbeay2adLOYsTRuWz1UlzEIOeyYsF7MKhIVzzNkm2t8F001S1laENUVjyYI3uSjgtMSd t+AFA3k1N3XZlLyyY7CKs2hHOhKXM/iViUqbJlnUxXKEr2RzTrM5icSMVwWz+lwqrcUs5xGL rnXJ4RhHyLesMM2ihllKCQe2AJkpDrt5LLecJp/1LHcKdgIO+WLqdavBnm3ngSxWv3WjSiMk bF8KFgl7KYr5GGfKUSFwG1gOJjTGVpeVmnFPTzKxbjir8g38biT39MCNWKmUGe90yrlhsDug qyue65vLnjvrDFho8Aofnh6/fPj28vD2tNt/+J+6YJKjrnCm+YdfIpMX1efmVlXeoc1qkaew dN7wtZtPO3sHd/bzZG6949Nkvzu8fe8d3KxSS140sA4tS9+XwSbzYgU7gcJJcIK9pScVHLc1 XQFH/u4djN5RXFtjuDaTx/3k+eWAE3puiuUrMDlQKexHNMP5GhUp/hLUkOfN/E6UNGUGlClN yu8koynru7EeI/Pnd+j5j2v1pPKXGtOtbKcYUMJT9PXd6d6K2OhA4l7ZWJ2DPSptULNu3v3r +eV592/v+PRGr0SZkPOBiYPWy881rznJ4LQCrEFVm4YZCDwLQrJswYrUOopjx1pzcJrkmNbY iVHssVgjtRwgN2hQ3qk6mMZk//Zl/2N/2H3rVb3z0Wg51qKH7htJeqFuaUqy8BUQW1IlGQQ3 og28J/g0kHBDUq2fCCkADRLwWWYBjj0NnJYuWaU5MvVtCYZ8rWroA07UJItUxW7OZwn9kU9Z QcRKMWDlDOPAJsmJfbFeZdVvcxz1cDzwbYUhgqlHRG/D0gQmOs0GgKFh6W81yScVeuTUAQJ7 3ubx2+51Tx25EckSfBuHM/WGKlSzuENfJVXhKyI0QmgUKhUJoXOul4iU17ZSGgoAAny3tltn MYYVFcLuB7Pd/zk5gMyT7fPDZH/YHvaT7f39y9vz4fH59174laiMC/VJourCOJ04zmzXFpIJ OYhBcCtD1bPHG8zSRQedoqkkHCwb6Gac0qwuAuGYXiJo075IdgeqpJ5o6qSKTQM0fxD4CaEM joRyAdox+/NR/UGIPG/PmhgF/jAQLRuEyMtog2Oas1DST5mKczudhdokS7cYcFe8mSlFrclG cADDxdTDImLZ5gODFnsAfXOucIQMHJjIzM35p6PiShHTLgJHWkPi4vACwM/UWeIYFipqwNwz lrMiOQGsAFifT689hzOvVF16zsFCT6tvNkk67hKEj4RSYzeAE9DDYUxUTUjpTy8DdwOx5lak hgpEYBZjPV17KVJNBzpHz+DM73g1LuwAzoIZAobX/lx4gjhTSzs1X8pXYkS3Wg4YA03xFAsY UzYucReV+l4LnixtnoS+zKiKU44RwASEqMRHyDWqSrBSWF4FTTS2gA0IScd0xbhhOqO3CooQ 0Qrsjw/BKUNEX1Y8gdiQ0kaISRllePkS99fC3spTMPubSRjYRUsPtFZpBEihocOh/XzpAN71 FAtAQ1ZFS42kS/pYk2O6g+7Jni+WGIqEOqmYO0wyWQHwWxQq9Q/SOQiRnnuFDsQBJgdvlvDS ZofW60V9ykSXSxAIkm2UyIscZdb/cO490BOci5BdAnYVqETBoYOFSXD9TQtNqDhh9WIAXZbw S29koKJdWxONRDDMtMprcOQgPVgdhcA71hkkb8eag+cAKzCqZfwbfbWf0HkOdrifR7HsFFlN Lj8DKb1SAy+VvwtazAuWZ57GW7jiN1hI5jfA+Xnb2R/FAnw3IQATXjrF0pUAWdvuvr+Ag7Xp iT9TmYjmcy2qZXBKMM2MVZUgXa8tfaR+jHDKCKM3R4BqcUhb9yt3r19fXr9tn+93E/7X7hmw GANUliAaA1DZA5RwiKM0bQkBibCGZiVtJYHUnpV0/bu4Rzm8rh7m5/U6Z7Ngp/OazpZ0rsYI bGbjFZYZmgqiopI040YbLm220EBCLjKR2PoP7bUrlYmchp3WI9jA4R3ykq85AHhVxb5CuaG8 5q7Fgherkz3tt1qWkK3MeKh/gDYhPVjyDVg7z7OREkRfy+lhP4pgC71g+GAQGGESBLZjiSfP YF8EnmRdhD0iPIQagZgOwC0A5lsWly8EbAWWN0EmE5GWcc3JtVbckARw63QH14r1nYzy0oG/ 6bNqy7pQahkRseCKsFjMa1UTuZ6Gk8EMqc1iiWIfhOgNAAbMKa3fthXzaJaKz8HFFqmrXrdb 27AyFjXJKfmAL06vLW1xC2bFmYMzEU2KNZxhT9ZWhjgKIoKBA6irAtI+A8bha2XsZ4ittVRi 4M57VO2C01rGmmL3L1B8f2O7o2w0y2BbZImV6nizXKsrto3QUlWPFHFbvyRKQKu2GNFV8Qhe laceP7UQzRNkaMDCjb+HY+225xzQS5nXcxHiSq95zF6Bw24smhlPAMUGEDcm0rgp5IHzL/jJ UfCc65xVY6gt4gY7UKQj7TftVpgF+BGnIlmFoDs+xmEy65P/aynA+aRT9YDAQxRYl+JthR8T OorPVv8hKpIKrVVmmhTE8opkUqV1Dh4LfSe4cQudCBH5Gtw14lWs2OGWDExCu+422A0vU4bX WRGDnYB0Y2Gv/oaMGNe73hobxGe5jo6z3LQSNCaP5XN60FbvRFTI6ref6QWpgkJDGl9br0po HZowYMP2eufCS2GdtC2dJfHMqF6F8iJklg1LQPNErd5/2e53D5M/HQr7/vry9fHJVb88y1ar tpJN4crulC1bBxciUOocRxucXPBacNRZKlEAzyqKzEOrYC4S4bNvaBZra0R5N+ceJnVKS6Ut rTrbClEOETXMWmdYa6FWp4tzDx0X9iYLJi7BA9TFqQINMwqjayVvIw40KFu9T+0wtgQ8zlLd dgxHWYmChz2u8vXlfrffv7xODj++u6Lm19328Pa68+Bzd5UXQDZZEkvHO/aMMwiz3JUWeiEt CcvUHR1BXiAjcqynoNQ0BEeyLG0EI+lzUOxMjJgMdgb3CgaBd6htHjayALxZzpu81JH0TPZd 24qOV21QOmvkTPgL6tocpKFBuy2KwKkbFxa6i20qmmwAa0AKBhFnXnO/vA57wjBABMWptu3E 3GtOVVWXkOp04/fJ80q22VJGGcpxstHgc+SICpTgb7Ce6u5he5NcXpMSy1LTuiExMaFv6iQa FSHz8U6irMNjtvuPlZT2St+VXa98lvx8nGZ0Eo7XArTo6QnehazCFikKIWtp/XAGMDvf3Fxd +gz2BBKTSx2goLaUj0iE5zyh/CMOCV7GqXZQ1LTNoNnDxgRcLat9JFdyE+dzqQw0fs7giIWS sqaxE8uBYzPk6KzhVqig6moZmwXPS3/Swj6B0L4TL8G/ydJYbEcpaEteqRw0E0QI988ST3Sz +uy5dETyhtsKY3iEFqBjXI50QKiuMfBIFa8UVqKwntde5qM1IDCii61WTcLyoHPjXiXk28vz 4+HlNbiO8nMb597qIszlhxwVK/NT9CR62ONzWFepbsOC30peU8VBXFN3PdlwWecdJOp04Nrz FxAeQdvBOAN30TU6yahIfuQIVL1vRlBkDT8L8my737qKLLesRYwry8UGVp2mVWPid2fuZRgm t+Nkd0sMXrDhBSOe6hzJ7UOAmG7tvru/B9gyyDJbUnR1LvKcz0Fh26CDiLTmN2f/POy2D2fe f32Od2KeXkjJippRlDhz74Timvv25e3GGrCX5BRpBf9DHB5vWM9hq3mNE6hsjJpzswgy1nis oXizMFoFzY2NEUE3d9QCVLlK/e4hpm0DXoOA1Q5CKazbmoUymB97Ghu0t0uIKqw+Q/dwRFkM SgfIYw/YarWipNFlDgClNHbZ1vVeBkt2Z9Cxoe2bcOPaOWZ4JL5ttw0uNUlCu6fapJhXkXvw BeiSWYrvhIU66KIwp/KmkrVfKeqhkKbQRLfPViXdE4i0urk8+/XKv2gept3kvZn3zG8Z4KIk 56ywyIMOr+Rt1V2plGeMd7Pac153Fxm4Pn+OOz0sg0eQyT6f6wqgY7kM7AivKkxYbJnQ3RqH EfP/wWILkrZ9WBhxgHnVVYV8D41Xn5CWK3zpVlV1Gae6yIRmiLBUdtrZs7oBRmIVeqtqhQnh rYfPpKk8IfBXoxksRdzx0fZObTunfjbCZpUGi1KIfDrmc18myOuH6aBuSkw/rb4ER2wZhjcJ 3ng6ONg+KQIoG29jSzjGFyyK4RZiMZ/UUp5RVYu2fOj52rvm/OwscJ53zfTjGTkmkC7ORkkw zhmVUN3dnHuxzWZiiwqf5gT2jhcf5DM9vBBpbz5Cbnf9ssEqy8hrO6YXtlJMYU7wUwJRJMAr SOnO/jkPY3DFEWSaMOgdK2W2xhGenPUntpcOvaGdxd6BwCxTN0l/b30c0R3t+H3XKtXK3wKE FMmmh3SFvT0lNyJmdeiPcoqDQeMarkxtkQWMmr7+BbCCR5Kn5sR9sw3POUhb4qs8OsaMRWaa x4XUm/besnz5e/c6AZi+/X33bfd8sPUWlpRi8vIdv13Y+yW0toBHX9+Rt7WJf8uCv7pts9qi +xJWgAzxtXxbdcQuZZpEg7QXixbPu9f8evhBguW0Cercd3hBc9M+AfBpmLxm+pgs+KSKrxrY vKoSKadeqSMPGJsdPdMRgcWrmDEDEHcTt9bGBGgCG1cwYaDStjVj9FWqW+JIKRBpNp+v+Ocm qCgdV+9S9zibisjt00WSGLWLUsZq0I/D5nOII8wMeiE0lj5od6LX2ijIOjSYTRY/GI85ThV6 3RzWOOoSsFkar+YUbfC0yS0qEXhrTk1rQ6I81ioiiVVhGPgK+nrHsnToedT1BVxCxbm9M5sZ VSpzPaN47G2khCRFpWMdASzV+NB4AQnGLYICwPWeSvdWzEo+uBzu2sPbTYK955wvwuv2nsJF 8duYlI4BP02J7nLT0mTDukCJNW8FWeB87LVCd27wd7L+qDNx0z/SnWSvu/992z3f/5js77fx zURnjYMaCvYUD0+7vmqCrPGb4a6tmatVkwPKp18R+lySF8HTVmsUGJV1z5eousw5de4OX7Vi WEHl7tvL64/JdxtM9tu/YIFB4BCfAAvZHoM1zt72XaiZ/AsMaLI73P/yb69OlHhqgAaWioon YWEZWqV0Pyj4gp3sO3kd90qK2fQs5+5ZEB3WEsExrEAiNjK0vfYKk7hQMi3GRj5RCUdq5b4j 6kI4vlMckUGb2itRLkz4uB85mBksXqjV6NRlRSFiS2FaRI+qojcEnRMKTs5r7FBBj4cjWiNm FJjw2RI3ODkE0po78/HjRxJix5xtCkmLqhf2yYGDSqCcf7zsD5P7l+fD68vTE+j6w+vjX+5d V3wVOnpN2j4qoTyVTJti5u8tVm383zIRLDxGbAEUxdImEeQLMBjBFRHaNby/374+TL68Pj78 7l+obbC03k9lfzZqGrfARqmFL4FrNtRyWpLSCzELpU6vPk1/pRzL9fTs12m8AYis3XMsP7so Reo/BWwbbKnLRllVm5uLIHtwDK0xVevGrBtbF6Ce03ajwVnxYi4KTswUBpJ+/FpiykNICzm8 ZMWwWaIYTZLyVXdM1fb744NQE/334+H+D0rLur5Gi4+f1ieWkJS6Wa+Hk2LHq2tCRuAHk5gO KdXaUrzre5uXb3Q26+Tm/+zu3w7bL087+9H0xN4AHPaTDxP+7e1p2yUUbXe8H5cG31VEJTZD kuBHeEHQMumkEmXgdh24AA2g3ma7TlLoAB/hyCPpr2AXU/IWANtxlrj+sL6YUpZoVzZYKV60 1FeXLuuVQdHZXbCtrBaq4HMHmdiL+b6l4McvM4vd4e+X1z8hBFMpXMmSJSdfMhYiKKTgb7Am RocnfEm/5BvayRUjXx5AO35iioUVyUbiLQ5cmrJJcgbZVUbP0A1ULjbW1sE7yDJ6Oeozuwdg NI4z9NPVGaR4c7pEsMpZ0VyfTc8/k+SUJ2MbkOcJfSMsyvWIdCyn92k9/UhPwUr60W65UGNi Cc45rucj/VEAHoktRdHLTej5ILkFZ4dPtOlN1Ph9nqHDJMyYi2I5rn6yzOmeC00fs7bXBO1n KbCrdBHM0a0KVoL+eMLjcSpKAWSkQoCBuLtpwhfys895ZKeTw25/iBKCBZOQc45JMJL0iyql lzWjzP1W4JfgOgCFSTZHNTinFUvMBkQnc9frebd72E8OL5Mvu8nuGYPAAwaAiWSJZegdf9eC pRv7pgz/sQb3+YgXsW8FtJKyVNlSjHxTgVv/K/0FdcJERvfJ6Ccc+a2pi+i5WK/3+Hnr6L0H igGuG7WYukpjG/s4quWIsmKOn0T8Jo4OPd399Xi/m6RHENB/gP943zZP1PcouNbu44D4oULQ jEX6hfcREshjZJlFXyS4tkbiiwPauAwrUparkds8SKPtnJmopK0Q2O8SiW3Jbi2S9cU99hFF +3bPwwNrU7Ejh7eM4zjuFfRxC44SkQxNBtnWjCW0v8VM7NZGYwopeLuFL5LSSqzIJLwl81UV FjEARHmPqciRvcdB7UsvCrj6XJgvRrfrFZ8H1yjudyP8D0TbNh3U7NpGKQPM3fb2c03EKvZf 5kjxA9EsOEteJPz4cdcx+X+w6h2AFPijGHs8LY3/WsLgPUJqX6iUrPKfxfokVzKw1732Evj9 +egA9hsMe50RFsSGjPiQFmtddIAC9u4CwLLTK2lY9ekouN2Beg/GLN2/2WE/HTKv2+e9g86T fPsj+IgIR1ABMsQWHE8gVIUzkEy7p+8urWDyQ6Xkh+xpu/9jcv/H43cvtfAlz0Q45G8cUE2k S9gO6hY/4Gj7Y+C3XweqsOrSkQuFH7CM7AoyzMBPbAxv2u9cBgPkHv3EMHOuJDfh6yqkoeLO GGAM+0Fvcz4yRMQ2DdcZUS9PUq9PUv0PIgnyxXS4w+Kc2hdB5R5H4iUxTCSYMuR+26IfuNwT ozMJQTEdzgDxgQ1bayPyyFyZjBpU1MBm7bMcV3Xcfv+OaU6rwxZsWKXe3uML4kinId0C+XFj MVWIbWaxCS+YvcZB5ubTuivR6/BK1GfJeXFDEvB87fHeTINFyvTT1XqwdpEsho1cz6aDxmR5 fXbZ8gbnqJPZtMnysUf8yALA5bB7Gjnk/PLybL6OR8W6GM0/LFj1rfb74A2AijHXOC/xiSK+ WQm3wRafV/jNTETBh9ADFcrx2rQbxmqN3j19fY8lvO3jMyBUYGpDEO0LIdf++PE8msm24Qe1 mViTpMH9kN3+HMQb26qFEz10UiaNejhA+Lj/8716fp+grv8fY9fW3bitq/+Kn85qH3q27pdH SZZjNbrVlG0lL15pku5m7cxkVibdnfPvD0BSEkmBTh86jfGBV4EkSALgSjvUcth2xY1vKbJF n7iyKMxSJ/qFNZSVwcSit5snytUbai0rgei90djjaMxptyW6RBKZCkA/YzZBVhz410czFS4B zo/dznUSx01WSVDayI7o+EiFXGxa68xZbVcrHafzM1P7gOMVrtht12JAoKudAR8zIIsosp3F km7iwH9YRZ91zExXvBBmnn3FqtAJiF5vVAd0vpK05VpQJHEySDkfqqE02zTxSG3WUp2JSyxY BOCNqJzciIHFR0bdgxhs/kf839vATLT5Iq6uyLHP2fS8f+MmkpPOowt0j2qNRWe9HHNDUoFw OdfcI4vt0eKNm+YZDHmZy3hpnmNi6LqyWrMQuKmPpe720VFROkxbC+GMqdtQ2AiXXps2Jirs pqqMMmNZksGGbddRaQFiRx4w6Xp64hZEgjeMEpUJzcYkidNo3RTXS4I1te1kIyd622s/5F6u KRnLbsrlguX97ePt8e1VdfVve3njJbSWl++P1KYHNBvY+zGM3efXJ8ejj9uybeiF42Xbk1YG sC9t7vQNWZU3l4wpq2K/z9pB1w3YDd4GFgGR41DtmsnHfubnxHgcKa25KljqeyxwNO0Utn51 x9DHCi0VLZvXPewla93Kpd+yNHG8rKb4K1Z7qeMoFxKC4jkLZerVAZAwJIB878YxQedFp46y vO+bIvJDRRHfMjdKtAAtJ3nAIWyI6dO4pneSELfcJHxkOfqc4LK1Y1kaJNQdJtPUnD7TjkX4 z3ngOgZZRkYI1dGDQAFSgVbKQpyp6wtPnwjEb5A4qEt2uHgu71xxC1RCMc3m+1/fvr29f6gy LpBLNniUrElUWIgp5zyC3GRjlMThip76xaiM6iKPXWclsYK6um5fozBW2LGZ960iINzzj4fv m+rr94/3v77wmB7f/3x4B93xA/fm2MbNK+iSmycY2S/f8E+1zQNugOhzM2XEmwLBc8heP57f Hza7/ibb/PHy/uVvKHXz9Pb319e3h6eNiOy5zDMZXnJkuCNRvWQmY9iKIF0arZMW+jBSIiCl +9QU82RWfcXdQgNrNB7lCCV0qZHMkEfKnXuTFdWO5EZAZTx1PckHdJVtqcIeL+ftdcBIletE BV6H2xPJG/il5lStiVzfvs1urOzj4eMZNquzieVPRceanxWVfVq/sbyONWoHEI1fPuQJmwT6 ZavHJj7/Vpq/Fy/R8nDg4QQKtGO8U8/by2JvuXEYa27EawWz3VGeeeI9JTWzcz/7bbn0JKum XdcyTcw9yio0jtVWKKRtLZFNOSjvjEiG3ZEZdlzic5VluXH9NNj8tHt5fz7Dfz9Ts9auOpR4 X0IdWUsIz7PUqANZASLUoUk17xZtYwA1JQ5wpQB9++vD2jFV2x9VRwT8CbPllpm03Q7tBGst goxA8DZK2BloZOG0c9voR20Ca2BXXY2IraqLh5WvaDD8gtGN/ngwNBqZHrb4JZRJGpIhw6/d HVGl8kQSxbZa6azV/ldLcFve5Z0YwnO1JhroUn0YJrRfr8FEWassLMNtTpfw2+A6Me0EoPB4 bvQJT30LJVxnwQ3s5xxcACw3uTPjUGRRoEdNI5mSwP2k84TsfNK2JvE9/3Me/xMe0A9iP0w/ YSroe+OFoT+4Hn0DOvO05XmwaHczT9eX3J31k+JY1rCjxXBhYRq6c3bO6JuGhevYfiokw7kO HP8TYRuHT/PB4MwX0gdFGfPa/hgJl55ZHOI5at08Cjjr+7ocuqN2xsSRvGjCNA5McnGX9ZlJ LNF4Q9x3GcVPiFU1N9hYQ9uECrYTG8cxWxUvj5n0dt+1GSicBdPv4UwQdgbmdAgzJzOdgyba JWuzuqO03YXDV85mFuq2IvMruvxAOfPNDDc7j67JzYE819Lwi+potSBH9AduuoHMl3sIZ5YI pTMXA73jXLW0VfTMNTSqk8lSBA/SS5fOIfws1/KVXJ56gTODZww8qB5jz0gDm7C6Vo0Fl/Zg bNTukNugXAtMuWAY/UK/Bl8af6628ONaO+73Zbs/ZkTG2zylvlzWgIpJ1X84HnI8lNuNtNiy 0HGpg4WZA/UFEdJsnXrsM3rqUvq8vgWpgWWZnuXFyOK+HxZrKcGAExErDiUZsUTOgpUaeEPQ kqRvksgZL10LsymJ2sBsG7vBSFP1qUMgeZO56omHVKH80Vn5GEnlkMcEJTTABpZ60pha4v3R d9YlZdPBhJHdTe9R88gEgpKSw9a+JCrCwaGqB0KN0Yse6oxd8kG/e54wtKyHOcUSnWVWHGE0 tZLzGuM4/EraMkt9+4xOTEO5rsddmVnMgwReNK6Tmn069CwKPTe59OfD/BHNBo69BzLUl/a8 pR5wLZeJ5VTR0/7MFTmB5DIre5w2LEbWfbELncj3Lz0ZcmVmSsI4sAjBocOQKXis2G0tlp2C e5ulTuiJAWUtC5kinx51Z1A9XRyRREdvx9oPKONrgVcNg2Yc1wmLJvMdi3OwTLotYfjglSH8 lWfU0iWrfjh5OJ3shZZg1p7DUajAZv9whnhiIMo5NFVgRFnlJN1oCCneVh5pGfSd664onknx 5+PD/cP7Ez/pqv7VbXAHrOzqUEdUAwCvrzAMDv7zUiVO4JlE+Nd43YqTiyHxith1TDpskY1t nqQXlaHXanBd5QCbmR2ys0mSx3cEM5AaEWHFKBqab9WphTnZrLJbDpst1y24eut9M1EuLYPt sFqVGampM90ZLZuj69y6ZModLHqEYemfD+8Pjx/oZTPflsiUw6AZ9JxsBu0pTJTDnTIqpPex jSjDKnlhpHd1VksnlHZr68u2u+8a2tOrvdww+uZVPqVGLwPb8mQEIQPKrREWW5o0vL88vK7v MGXVp7eldLkCIPFChyQqge8VIy6CT9yKmX3FoR2q51S7VCYgsU6LlaNWQn1rSStVd/7SMiSd MRWG9nA5coO7gEIPGCWuKWcWsowpap/lUF/pAkbbDmuNPH/Kchi8JKGWGZWpqVZz0wx1Y7aS mfbt6y+IAoULD7/GIA4/ZUbYIXVFBkKQHPoSoRCVj2zm+qtlXEiYFUU70oa2M4cbVSwe6TMm ySRn1l+H7Aab8Q9YP2U70EcEEj5YnuiSMIjFpe4/K6Mp28u969NuHjAByhj/1I33oTIfQqn7 6StQ/L04al3m0+ow4EpoTYEO/Rfx9JaupiMd1GaMyHOi46JyFnH+TYU34zCrTAKrdgZp/UqV KBwV7m6ncO/PMnKIWtGZKDzyq45+bWBhM8IULoCI3kZkfKootVnFsZOpLIde9ew6GYZhBz+N aEcdPCGrim69PgiTic0jsaAuUnfXFtzpxnJCihdh6NAT2BTXhSGgGZpzRobywiCOSjdgSMfG uImYiVOsIVrlydobEWeJf1TKmqG40XuXEypmTF6SumbDc79saPRdrQpWQGlL0qZNZWuPp07b gCPY6h6JSOJlWfKaijLTFAfaIQuxEzQebQBGai80VZANvn/fe8G6+RNiHqDC0CgskYdhpOuK 5FjV9Z16fesVxE2Xtw5egf1GhWRYkly4pqsHXUbybL+7zFNIxYgV9LUUoM1xnGrY/PX68fLt 9fkHDBysLTe7pKqMiYwT3onaF1kaBq4N+EEAVVsMh3oNQA/oROm+or90OZ9Q6yR8azZfXIuw OfN2C+/al2bJiWMDmQD9n/i98+wrN9SXLBONfLNGQBx98+ugEXRIxeaUYOK6Rm/CHs+kMPWu QFCaQaf0VTUGOqnlR7YeSbywIE1Cs7Ksgk1Rams2oJHvEGnSiFZbEKZXD4nACJ6+IA/VZPka rNA3JMt446/lbX5H7xtpO//TF/jCr/+3ef7y+/PT0/PT5l+S6xfQE9Go/mcz9wIDX5i3jgq+ LfE5IG4xos+uBrh+0slkUG18DSzP7mAPVRnDpGzKk/H91sPytmz6eqvTOn5lZ34qGKOkaazO NGamJbzxvZuBvjEDcMSHb+YJp/wBa/RX0MkB+pcYfw9PD98+tHGn9kfV4aXUUTsC9lRrTr2m 0sKxxnMTS4UOXd4Nu+P9/aUTqpeWw5Dh9d+J0pg4jI8v6tdVXG5hlpou43k7u48/xZQqG6nI 40rYxIXjZe2QqXZxnZ0MOeMkaSlmtkLYexXGK3QEC06an7DYAn4wMtCH7lu3Z/oPbRkTJ2Ks Uibf2QWUk19f0CJtEQjMAJe2KW3fs/Vi1fd6NJieXQlF0w49cqy1SqDJ4skSLqBPot/n7Sro lQLWGLCDLFZhkhJLbl1mJjnC56r9m79Q/fH2vl7Vhh4q/vb4H2q/i8EH3DBJLiuNRoxN7ti8 6fd3+Mgw2r5YgxF8vEGy5w0IOQzfpxf04IMxzQv+/r9KT80Lvajcy1fjWy98QilR0sFfyhGd 9P1cAfJRMVOhkAQ9/vREXE+sEwIa9uFwd6rK8xozdklzZqBxGpcME8SO7aFi4m0v6vgQPip0 tNLInodekQ60KlGPNSgToi20fGdZOUXD7rCsXDwr/sifkf0qTBCncqMTZ1EVhTPBl4dv32AJ 5UUQE5qobrMlA7yLBp6z3mz0/HlX6yWHK1XX4ZT6rh2n16n0spuyvXe9mBx2nOE0JiGlznDw fm5uD2PnF9lYPKy/2uBd7NKnWKL6QxIb9We6z9BE8113JLUaXvrzj28wKMkOX1t7rb+kQ31f b6Sp0tBeL4Yr9L61neJaa1w3bHRDx5pq6KvCS9z5iqTZbdfNVRMUhzt8qvhSiFCfelniTsxW 1q9Ze38Zhtpo86wu6XnVvZ8GlIeZrLe4rjTy4uQkMruVk1PX/AaS7K3KvmbNNDFExmmECour PaM0IKZpMEs4aHRXO3q1FREX2EMyrr9xAxNkRz0eLK40t4XvufPYQs3h7f2fCHZT9J7PnGQ1 KNA05WrlNZVMAmd3qoH7y98vclvYPHzXn688u9K1nJv4daOafkK2zAtSbd+jYwklgiqLe26o fNWFXtaRvT78Vz/OAnah+/EooqSIzCzMOPxbc2B1HWrq0Dhc32iskpjaymocnq+1dQF81wbY i/N9mAGozYbKFUcOnXOcmF9NgSjTHJUjKZ2ATJ3/5sV01GsZxvfY97X+CopCvxYqcZsJVmpk yUUz2xbrcLvyah9jfujPaElglaly4MUGa5mynNnUZylwQszOV+l632sIbbCksVBDamJgOVsX iV9lHIk6SsA8iptLs60hCoNmfYRWKahVw9ZED8cs6LtjWV9usqP67N+UFSy3bgzzuBXx1shk vtJkql2fLF39NMv5tcQm65SrnX0YQ2ogTHlUrMd6UdlDlZPUoXOfeIiFzeCo+yT24nXD9GMO pUw3COPYUp84jlJqCZ9YQBQCNxzX+XIgdWjAC4n6IRD7IQmECZUVa3I/IHLiWoFDpZBKR0yJ LZewSz0UXhpc+4CHIQ1C7ZxvsqqyzglitsKnGOjbCYFnJ9I/5tyotwH8J8b8NknyyEJsaMQ1 7sMHqNuU0j07MubVcLw5HsjXrUweZRGasW0cuIGFnlD0xnU81waENiBSe1uHKPs6jcOni0u9 wKFzHaDutOKo81AyonFEHlUyAKRPKQeoHmBFHFF9dpsMZdNTbbh1HYSu1G+XNW64Xwe3Xjxc +7o0YjysmVjukov2zDCMPVHxLYsoN1x0maXauS3rGoZ6Q9VTmvDBRH6lGlV4C7p4TqXHjacT Uh7wKkfi7W7W9drFoR+HjABgJ9psyeIG0FKP/E2CK0Xe1KGbqG7ZCuA5JAAqQ0aSCREUO+6s XSP7ah+5PvFpqrzJSqJcoPflSNChBGPeWj5G6BAl4FGrTZxx/3+lu34tAo9KBsJ9cD3vmoBi DC7xmvAqtVgHqIMOjSMl2gIArImEJCPguaGluMDzbKYhCs9nVQq8yFIlL3KpklEBiJzoWrac xU2tqSPa1UvlSa99QXTfjvx0XW0OBIQMc4By2edAGluq6rtxen1qhw2z71icvObObCJaR1sY YkpnUmBaBpr4Wi8BTCypdZNQ3xt2KSSVWGCAGlNUUrSblBxrQL/e4jT0fEJR4EBAyqWAroll XySxT0k7AoFHCkE7FGLbXzE6huDMWAwg10QnIhBTCzUAsEMjhBWB1CFazw/8UmWi6PVb+ZmP JqN649lEyYONCnWwoM1ecWKZi/zEpY3LjFmDNjZSmDwnDq+PJhyWQWCxC1KYksjijjuH8ehZ APs92txasByLbepQyw8CHgXc15FL0dl+cAkZADKlwgDZ/0GSC4pbmAwQmlBTurFPynXZFG7g XBuDwOG5DiHQAERnzyEHIWtYEcTNNVV3YkkJyRdY7qfEBANKUhiNowz0RRaOHN61KZFz+BFV cAPrAzVkCtdLtgm9OWGuQ31UAOLEI4dKBn2XeNe6p2ozzyGXTkRG2nR3ZvA9SpyGIiZmk2Hf FNSSODS965CzNkeuyQwwBA5VAaB7pMCoZytXMj5VGcahlRrfGoySiNBnT4PruWSxpyHx/Guf 4Zz4ceJu13kikFoBzwYQ44jTydlYIKhz473m9VrWcRIOxGQvoKglNiIAwTDZ72xISULTBQdl KmRKOX/ASn/zbNnj3Tquei+zeppLEswNwUTGKG/82Y3hUKnhaid8eqsU3yaC3VN/OVe6/zjF uMuqg4g1TJ/REkl4uGfuJfuPk8hjGxET2BKbeUpnrxXBqLaTgPOsveH/UN1gbwvBaLSAym9+ 3YI2c+HRcHg2RZ1ZIl8LJtYVl+3ApoxXV1JcBoHVD5wRLSPev2h+K2puyELlY1ar2F/lUm8A CD7JtbYmnyirUFIz0Hbn7I5+ZGTmmSwJeNvODx+Pfz69/dsas4R1u0GtymKyII5AJoiysxUu jLbE0dXE8r5j3QnCLo0A7qvqgJc6a6TItjzON1mT87VaTMvKOk/c8PkjVY+swKe7oLSt+vDj 9pSBbIBg6OS6atA6dU2NQSfQqfzMKJnyVcy5QtAUYW2m7cFYjuENh76ge3vmK4/8UVpeP8qW LY+hEKNoPJ6xPG5xznYwwC15Rb7jlCzXm1eVqJWZJUCzbLkMSex6u3WKJLak2PekBAgrAmsa oONTgPiGSrfVwlox0OnWncI3ga5vya894ZdS+SNHNJu+femPoSUn1HEn2xO9JxHx4zwWHbHQ UfnRCNMCbjYB6Ekc7ywFA5pKVE3UZMX+3lZXEMKyB53bp3xk5hBvWuXaKnX8lUCgB1LmuWY5 k2HEL78/fH9+WmY1jKSmvzVUVH1xbdrZDv0SSu7IcluOkh84lvyUTwDSrbzFKqwn3r6+PH7f sJfXl8e3r5v84fE/314fvirR8phqn4pZsF4LpM1zLSoeYW390quCavMDkPPAF+8Crl4Q0tKi R46ZuZbPwmLJg22r7kr1JtigVrX2xhTSZOg2qDR316Oz05nMykrUYlSXF022+kT5+9vD0+Pb l833b8+PL3+8PG6yJs+WD4SJlirwLERr8RHCVRU1nCKDZmKQlxapreEQWwVJJxLewCi8FE1L Z2sGlBaYacSwOJj88dfXR/7IgzUY+W670kWQljE/trzZw58x5XZvnsUlC9Nng5fEzsoQWmHh AZYc1UqAJ+Q3ohTNCGS0mwNGkUTTxIDXGpUW0opuRtVIrJib1JHM2E4TQh0yTmBEZKX6qUia sGfQs65bS0irHQYbc31pQkGtdkPBH9MslIKQBtyaXwLmJKbt347Z4ZbwZqj7Qjf/RILu+zIr 59h9VN619hK0Tl892GnAlgcAgInbEhb40HmnZ246XyBNBL9xKGJIECNT9hQrB53K7RsIahL4 ZquEdQZtGTvjnk2WOJquKwDEZFXSEPnplYLKdue5OR2BH3DNdE9LeSgH6qofocm0ZangHIpF M5OZqUa4Msx9tlJUiQMbzXlU0EPHJ58fmBIJLxE9UREOYWJLxcrCcCfi1CqIo5ECmlA925pJ RMvY7V0C8uOZ3GoMpywfQ8cxysly37UR9dj0mN8dK9QTEqQN+HSK74ew3WWF9iEQFRa2Zi+h AZDlrJx/6ayG7QJ9WNGzyHVC2vVMWNW41H2qgHTTZV57Tk+oe4gFTo1hrdjorKkJQdWshWeq ZiysUD2aSi0OgMGkQ54rThvStVhNSHbUZrYpGhK1TJ9r14t9u7sR/6iNH1oMz3ipDald8ekA DfZXmsHh/xl7suW2kSR/hU8bdux0mAAIEpyJfgABkEQLl1EABPmFwZZomzGS6JGo3fZ+/WZW 4agjIfeDw2Jmos6srKyqPOIveeZPBzTEZqXegrTv6JCOvta7uwJiJBHjzid2u45AmFYPn5XR Di+e6KQJUQhnKLT+FD5so6r0dHo4H2f3lxciRq74KvBTHgp7+FjBisiIh6qZIgjjXYzW89MU PD2jhJTOTLzVYdkj6ZEXhQQUkdoREHfwR2hWAT+qEqOgUWPXxGHE3WTkAymCmkVi6zDM1KUl MxaIbdxiCrE4w4DRGB5ecRoTNDxJ9k2EkTkpr2ysD2MR2/CPaM+m3uIFnQm1tUU3wqEgJePZ iMHUczgqsd4Rjm1SfgM69SGTPgqbjZnyAI+qnSMhdf0Gn2AOSz/0iwrjPXvSrRfgwrvMR8WV D6bpSpdyjibuQcVc86QAv2QnPhWT/AQzMQYBH6NSK5OJaWQOQRAH5jw3w6qiTqN50CGlM+MA kz2WxlIXycgXojUTjea21hMNbmLFSFIC8tkAhmO/Lxc6GmqVm4Lzo4+MMUNMCBpMGJUGn/Bs 3fvkyve3KePHboyqpog5Li163phe7PyVVAq4xGuGI/ITHgtFns+LnuczuCvKCJTwIQ/mT6U1 sZ/lhzSsSEkAm98QTVuw4PH5/vz4eBwT4sw+XN+e4f9/QHOfXy/4x9m+/8fs68vl+Xp6fnj9 aLIrqzcwADwgAQPJEJi3R9Hz/eWBl/pw6v/qyuc+lRfuGfz99PjjJFK6DT6v/tvD+SJ9NYTZ Fx8+nf9SZkT0tWq0jboDh/5q4RjyEMBrT7Y278ARRsV2dQki4PbcXDIpKxx6b+1WG3OcuWes QeY6C5eCJo7tm7VUSePYcz8ObIcKRCuI6tC3nIXRU9iQV6ptyQh36EjaHfMU9oqlBXU+FwQs z+4Om2p7AKKew8qQDROnzxDzfdDxvJ60OT+cLpPEsGGtLNlsR4A3lWetCaC7JIBLA3jD5pZs Ut9NYuItm9VyaSCgxSvlTVQGt8Q8NYVrkcEiJbxLsBEgVvM5ZfHS4W9tT3U16OHrNfnwL6GN QWiK1rHtuToPuLCOyrojpm9lrVqDa1vbFStJKu30/E4Z5gRwsGcsCM4DK2K4BII6oY94Z2Ew DwevTfCN55GzuWeera5tIQePT5ixRcgyKsyS+Dxv7KVLWbX36NXSFEAIpXrcsOXSpo20Oh6u 1g0dU7kb4hLOMkUwRuAU+WHH1kuzd34Cifs/Io9JL5i16uoihNY7Fp2sQ6ZRT/mjfP8k6oKd 78cLCHe8FZ2oC+XGyrX3hEp1fr0/PeKd/wXj16hbiT6XK2fuEALctTVT0i7aotio3vCtApr2 erk/3It5f+iztXBCCdEzhPniO2hJcdrO1Xi3EhKmMJ3PSeMXlcjSbGcUbEWfczUiS3W1VbHN nDa+G4mQt2XmVVCuaukrozRbXxm1Wsku2ApqvdRcPBTkasrkcKQq/3AX2S9GBWWlctPA1Zyq zsbUysHb6/XydP6/06xqZkJl0g+lnB7jwBTqY4+MBd3DsyfMlw26FX2Ho9FZQEimN1bJ1p5s IawgI99dqXblJnriJlOiSyt7TprC6URLeqQFzpnE2fKWruEsZ7L5mKKFvO+SidrAnqvGgSrW pR1bVaKFsEqlB6dNoAyXvrEzCVfTNwYdWbBYMG8+NVp+a1tL9x0mBKaxKH9nmWwbgESy6Bo4 zn4HN9GyruqJL6P3hnAbgLLx65WTel7JllDOr4awqv31fD7JNyy2LZeyW5WJ4mptOS3dmRIU CONeaZhkZ26VWxr7ObVCC8aQS1JZ+LyeZnCWnW37o1m/D/FLs9crqHGY6+zD6/EKG+P5evo4 nuJGWYWnYVZt5t5aMWjtwEtrIvqjwDfz9fyv9/BLUJmnCWBuQuZo5qpUF+55EJ7/nsHxGxSE KwawnexMWLY3ek96sRjYIR3Flzc3xkUyddmTed5iJSeDHIBOPy0A+o39nfEGPXmhnCUGoBwV gNdQOZZW6ZcE5kS2jx6B5gy6e2sx8Rbcz6BNxkjp519bgMNHa0qblSad+mhNCs1ufry551DT NqefGvqvhAOUBGwiZrVrbRj71RlaiqfAiBIzon/Fy291er/zHlCaKgqgc2iNeEp+jHOvtQz5 sdVrZ/Zcp4MlZPQq3XhL31oa/YGWryyZX6vZh7+zqFgB6oLePoS1BhNj1AcKqLExZ01HA8La DVVIslysPIvqx0KrOmurpTkOlZrBtVsqjqtNdRhvcBDTDQ0O9OkOuc3efOpquEMXRmlrk/9E Zzy9Bn+7hl1zovwosPRy9qG9TvQxhkXnyFcZYjZCG7ai0uRggC+sCW93pCirxPbIMAUj1taL 5VKVfrjk3WTW3D6o2cwH5gw6ya+ypfI9LneP9AcdB9cm+UcXtUKsrfrF4VcMqs8uL9fvMx/O dOf74/Onm8vL6fg8q8YV8yngW1NYNZNrBxjTns81bs1Lt/N70ICWviY2Qeq4+maR7MLKcdSA FhKc9vOSCJbUtb7AY3ZCYqnKuWn4xNWea9sU7KDcPkvwZpEY3IFFW2YuiJiFf182rfUJhoXm ERsXF4r2nEjDibWpO/d//boJ6lYVoDWSbbLx+dv5enyUNZfZ5fnxZ3dm/FQkiV4UgKbYme9V 0DuQ4uQ2xlHr4V6HRUEfW7C/3Zl9vbwIRcXQmpx1e/eHxmbZZm+7BpNlm4L0jxqQGl/EDMS4 bNQzAPWZE0BtZeIR2dANWEHdSwgWZt4ucfUFA0B9N/WrDaigjimRl0v3L61hre3OXY2v+dnC NkQ6im7HaPA+L2vmTK07nwV5ZUdqQfsoibLBgLK6XB5fMcokTOXp8fJj9nz630klmCeG3w7f 7l6OP76jhazxgO7vFP98+IkxzqYizgOWG4JNYllMvXchpoml18Jm5x98OaddB+DPeLuiZr9b SxklUqRHZS496oRyTMQQ3/Kg6XXbB/pWcTcp6wJnm/DthkRtN1DK6CqjIpPcD/lLPfEQh/iq GtI6o4FEdwmOEd7oq0n8RkQpB8VhqZYlwgkn1lK5LewxWVvw+5w1GWyRtyVUc+8hrLRsUu1H lB9qYeZHKPdCKirKBgGJgHNg8vRPBfQQxGTA+JGgK1vtfIfb+Zh8Hq0WtowoX3grFYmaNLV3 QZp9EM+IwaXonw8/wo/nr+dvby9HfGBVJwILhM/UhmR53UR+PQI7QGdL4ZLg3rXsd4coikci 41GZjXldW+RBFFDpztep6TWHGGXNcVK/0WJjcLIdmQ2Do9Lb3bZVCxEwWB+BySa71HenrgwA XYe06OCjzmhrh67XO5s+PgI2iEuQrYfPsFb19nxuyc0UMJs82DOtYyIPimBhmZSb9g/HpvPr j8fjT579nSfBnm1ezg/fTtpqFlZHcQt/tCsRHlI8trwcn06zP9++fgUpEOqZrraKfWQvW7ik IfoBkitIQ4x4MjYYYFlexds7BRSGyhkGIJs8r1B99t8xIsHy4d82TpIyCiqlREQEeXEHzfMN RIwJTTdJXGmVIq4EqVrEbZSgN/Rhc0cmGQI6dsfomhFB1owIueYRs83LKN5lhygLYz8zRqLa dxiSAZEE/jMpRjzUVyXRWLzWC8WCCWcj2kZlGYUH2UiBb0NBvdH6BNufiIgstyf10cqajDiE rZXkivQNfNBtdGprqjjhI1YJDyyTS7/3KSOM9yycUr74tPYVKaWdIfXdJiptTTmX4cip9Kd+ qbOwD7sijDctNjgXsmoSCeM6cV+z5cdKSlPDtbWQT204Zzt1woZM4Oo0WiF3DtB6kDVxSGZ+ wHUSN75GjqAJg8seq1n29WCaJeLVQp+IJPLm7orSDTjbdcFfVV5E4CHF1M1ZXFM7iUSFaXk/ 16q86nA7CqgZnkol+Q2Zixd7bGgwA3DSOHakGIbqF3SGc4/EmNWdpb4fDcBfFw90EwLRUVnK 6aS6BDK29wH4Xsc7Cj8IJjR7pCGVDFwqscr/DTeoRaGNmYeCrS4aEN92OXriDSzgqe5mUQ6y PFZ7eHNXqiLTCWX1pAOIrmgVc8Tk4mnyPMxzdWk3lbe01UGvQBVQHOq4YLoxxB91c4dizi9T sVsrwk9AQW3w00PUkB7rCk1Qs0p2XsT5UT0fOIQF9VZfrZoGJsmCDWhvbbVwDdmMalFNNgpX YwSrMctTbUVvYOTaloJxu9Wdxrg9TnEkw52shHMW20eRrkj4dX64sdZz+kkcxTLPhzqxkIw3 eT5cK4sOcNut10MShKZ9OAKDxGesS3KnYszg/WNx9Fcj3shAMKJ0f7gRw4M8yj0bUUXqrRfW 4TaZyGQ5UjIfjtDUrjSS6K4CUgvCwvPUaMcKakWiqODJQ8NHNyaisUnqLB3qNUoqAPPsycbK UlcNL6ARZzqtSJOju3uO7Wlce75K6KgZI9kmXFpz6j0I9BJWiQziHWQfyulj4FCRq78w5GEN GyIsQ7lJEsrQdUySIKkr29bskepMYRWRhQZOIsYt0l6JXRuHYxDqqoyyXaVkdgB86dNpUOs9 ec7BEsflIO420Yv4+MibY6ilSO8vMOSC2io/KOWUKgPooCSQRGi3jHRQXGodAUEEpxBKNvJR iJKbONNGJqryQlSoFCTyrJCjItAx/KK2So7NS+abjQu4HcHUN4VtyY/LHCasy1UgzNYu52lb 5GNxDzPGLsIrNR2WRIG8YQlYrgG+KPnYxaSnm7jUeGu3LbWi9nlSRTcSjP82WrGrlp5TqjCo ssprnVFu7rTZrwM8zAcq8NZPYC61Ou5K7boQoTGGSdFnp7qNsz15ohQNyxgcyLQ8OohJgqlQ 9BwbhcYHUZY3dAgTjoae4VqZJOBqWJrXjHZl4yQxenfnWzLOB+JzzP2qTy+mOY+J4c9Azdqp INh0lRmO0ekxwwg/SS4ziAQ05h9OZilP+K1BKx9z52hQWG6wg5NA7ZZGxryv3cuU8G9irAaK KNRWIqgT6AWWxYGOKOPUb/VGgfod+NMtAYmhZezW0CmrM+qEw7EgjNTNIruDAZ+iLqII76m0 GWRVFCWY/1h1NeOoOiuSmgyejj1TEqrhsiujKPOZfBYZQISwFdrh4X2eZqlfVn/kd++0o4qb 3FjWecGiCR2L4/ewrMnswxxZgm4vMp/IBcvw6WG+9Q0pexvHaV4ZsqeNYSlMNvFLVObv9PrL XQjbpi7jRPS4w77ekHBxZul+aVtrUgzuT5jEhlQx0CnOUDMK1VWyo9HSvA6vMGq5w1c8qSqp d2B5+R7OKxP3e5KjngocAmBKML8M9oe9zw57WawoeRM5WZaBjAoiOP/edqeDYXBUI3ccqtE/ TBmEPqId3vXFZEQZTqV4KarNyKvd4XYPAiKJWWWiNgkXdKzq5lupvU6KWE+RKKGNkbk1BuGW D+LG306Ah2uukWcwY20wZqw1gq3xT5erdj7vJkBpcouzvA/oVYsE0a8I8ra2rfm+0IkkEkwT Yi1bgwE4wlnaJmILYw2lUi3OiQbJc9ChjbmxHPudz1jiWRb13YCAxlJe6SNNoHFS6eF7+npF lXr7q1Hd3/rvtBab08UNUr/Ckzqj82L3eO5ninfihqhAdupC9gWPx1cySSlfqQElxRED23Gm CXDe23DqgyodDjYZSOt/zvhwVnBo3UWzh9MPfOFH3xMWsHj259t1tkluUDgcWDh7Ov7sLX+P j6+X2Z+n2fPp9HB6+NcM81HKJe1Pjz+4BcgTOtOfn79e+i+xz/HT8dv5+ZvkCCQv2jDw1Jsh gMbFVBgh/gkf6lC9th8RdKSrAb/zw5167TOgwtpPQLlJzKkrHo9X6N/TbPf4dpolx5+jd07K pzX1oe8PUlwwXiBmT8gzNRsVr+g2oC7yOpSt8jlCDl0ELmF0cXz4drp+Ct+Oj7+BVDrxmmcv p/+8nV9OQnwLkn5TQuMOmL0Tzzn6YMh0LB8EelyAfjsR/XKgI4fIKEwN4TJ+PHGzPRBUJUh/ 2DYYi1AT3GorHhPWxKH8OCdDqWoHXE2+/vQyUsmiJQFpibpaWlieXtfwDYYJ04eIpBSs+N5w 9pTDsMtbE59a446CC2PGVra+qA6oEBOxVLEoVQEgy4zSeGnrRQLQpi6AuBgL66puzUY0LKLD WXKhHucu+R6PyCTa5ZWehoYj3pH0vWN7cLcKllOrLrjjMV21uQ65Hq/tnFUYH6JE19b4LU4I 05X4dyoG9CT4r9lpXJtojAWsD8pZE2/KLriu3JD81i9hZDQw7jQqJNoz4Ce+A23jtqrLSOde PEJub/XxuwNKysqHl/mFd7vVpNKegYIHfziu7B3EewbHsQMMA/fp0lsY7P2cieuYsQW4+VBc WXz/+Xq+Pz4KgUuzZbGXxjvLC6F1BVHcqBWLRJVKboRBQ5IfOKa3iG61vifEZBK0MYgYVXCP p5HYRrwGu/3dJrDdjnvI6hQ04e0W39xtacROL+cf308vMGajzqoOWK/6ERJsV74jJ3t1S210 0fq2bKzP99KGKhyhzpTChRH414Z02YSB3iBVUUpD13WW023Oosq2VxrndkAM10IgPG0n2OU3 tbbIdsLhSt3fuGHktEaZxBt8msxZXOkCBTTKQ2KcdcSf26mzDp6kDWFc0VdtvBuHLKCTk47M taXdBnkj4eSIt4/vkOyI/UUj6NTXaVEdBodhlN4pRztUa9hws6MfSQT6NtoE/vRQgBTHx1hy hd/Kp8lbfohQ5uBWHDzosgEZWwtvTgbVUz1B4OdUiE8eNEbEjcGottJxdLwxwyAxtU9Hg4KS O6FslDd90lUaxsI9HacRi463KRCMoyQ+KOMg3yvnN4QHm5XiDA2ghse8IkajqdFhZqLWmu0D tZwaGhkvQV/SyscnFbzA12MMSqiaUeFPeOdyto83vhoYFhFpJV0/plHKqjhQXu572NSk8mzv 7Hq+/zcRrrX/ts4YhlUCXaZOBzVQ/vSXNxVDUXyaUmY2+vAHv2/PDo7Xkh0oQUqT7D1SjEP8 9wjpAcdLKvWeGn+Jt20KduCRdvthwado4nDNyfsXYbJ1nIKHz6OYrccqwQc4UGRrn4Aaj7oc ORHjWNSBsRoXWmkIdPUqksJ15cQ4Ok52hBiBjtEaBC8pM4UO67mqC3MPhpGcHsggiRrMch9T 75jjCLmtUTLCl847c9SFD8QX7ZrekziZmV5YxW9C2PAnu92Fu2ULJd2T6HrluLI3KAdWgY+h LY3eVEngri0yaAHHG/FeBzbk7iIaS/OLlj8fz8///mB95FpfudvMOuuLN8zPTj1izz6MbwQf R5kgRgFV9lSuqXo5f/umCA/REdgYd4qZpwwGuZLKzg4KLs8its8rc2w6fFpRqpNCso9gU9tE fjVRBWn2rlAEBbX7KiTkWu2R/fW3GqOQj9r5xxVvV15nVzF042Rkp+vX8+MVfTO4a8DsA47w 9fjy7XT9aIinYSzhPMjiKKN2cbVPfcA8upzCz2JKPUZLNgx+zg3lxgGNQj84wAkUr+9ZUMpv LhxlvEogVKOBY7of3A05S2SUZkXKYWlKFbLbq293HBitXJtaRRwZe/Z6JaeXFlDVibmD2eqV o4BGjkX7AnB063h6Me7CLNqdU0W7dPJbgVw5cjFlFRyEYbYEwIxtS8/yDprJNuL4/kcUDueb 8ZnHgA1TMZQl4RpaUcFbTsOzAKNeRtlO8RVAWGfdhyf+LIsStRFGKHAhamNATbiIdQS5X2Er zN52GSmAbVsMmKwc7j7D9oiHBqg33aUVhZBad4sf69GhO6hJpmiDe1Z3NQ/jFTyeT89XRQ3x 2V0G6mR7oHsCUFlFh59w0DcDNvJC8I5hrN6vW+MKCsPRydEBxe8DX8Tzv5yVpyHCCD+3x9YG W39n2d5yQalptSos4echiKlXZMQUGM1xF2Vx+Vk6R2GYS4zeSSH8KNCLh0NmkDPyHi8WYWQN +0ZEwNm+VSFFWTOml55utRBoHQ6ZmQoein49vw9h6V6uGNtOV7s77x/tzDFCO3k5USvQbDDi rGqu02HirCDzRnXoNFWnRwL3/j39S7B5KDnfv1xeL1+vs/3PH6eX35rZt7fT65Uw0eMmD9Ia ECYQRKNBWQMxQZ2sW28phU7VhZYfYFoi2TIDIftQesT1E9gquUeTSsdq0KP8QlhTjZJOZAnf xDkpNxELxRx82Yum+yb3lNQC2/qPuIJFb9ahYsyTn0HIE9tNGNUU79jQY4akuIySiNwEEPv/ jD1Zc+M4zn/F1U+zVTuzPnM89AN12FZbV3Q4Tl5UmbQ3cU0nTsVO7fT36z+ApCSQhDJdNVNp AxBvgiCIg44IiAOiREMfpskoHG5yIX0U+ctbl/w7EDkvdbeJgdI4u+UOvDDMuarlREFDOUFF onQP6RLII7NrSWkB0GCmEkVfHf1U3+Yptbree1VTLDdRbJj5t8i11W8LbS1SqMZPcsKJ1OhI m8StYe2vEFuvMjaMPvPYKnXWusQ+qNDcvqhISkVtbuWMQrJLzPa2hDdUKyPfNZpVQs1bVdWF mbJI35XQtAkgqRWttyPLt0MCad+hiA5ZWRdL2O7o8zFrvLqy7Bb1V3UaVfgdU66/LrIk7NiL wfIVLmt5BNvijiZH3Tuvlmwz0GgX8U9pYr6VGgvdrAyeLREbT1rt8VaALWG8wYd7YLqbmtqO Yno9wEHJYS7oStFhogHXnmC+ChHt/zg+/qU89f53fP+LxIjuvnDs9AmqjBYzmtGeoPzADy+p GzrFyYgHDXWPpoVOk7w0Y1IiWGdK4Ae8/zrdDcxtT5Lv+DijlCTyZ7wuAfbNDva6XzvH6Lp1 cSzfDq9yXHv5QI25BJbHj3cuWRNUG24rvNrQyELyJ8y0T/SOQOnFQUfZc9YqwQ0S8duxXKtL O/CpfyBIqnqg7y1FldQsAch2iqCsBlSCIoq9jLvXRTD4tZ27YbV/xbA5I4kc5Q9wjZaxckpb MlFfR5np7ohO+OpTe66K/cvxvMdI4O5EFCFaO6LjGWFNVSgNfYDhaoQq5u3l9GRPc5n5o9/K n6fz/mWUwRZ7Prz9q89YFpjEXUqz8uhzeky13MpCcGY/GG+0MkTNXMpUyyK84U7kHfLrtu3h 32fMc+ckFu0nU5LLLKjfgBkNFigzeF3RG7MCm/lyNJBkXLIrwozvMzbpVk9g5WWiiKs5izC1 bRpeVFfXlzPhwMtksaBRxjS4fVSmjcakEgUnyUe01xHK9PLtloM1vmeCN8toKZEmWCt48FRg ylL/pPoX8o1Dik8KINblUu+kSKaUpLx1/Mk0uC9RBcV4fNz/2L8fX/ZmRgMvERP6suol/mQx 7twpGajtoEssfhWefUuWrapaCrGLrAHocGiba+E3O//bZqJCipKnIXE5XyyGstEA9sKIM5uI KzP3U4IK7omd+0dBbYBZs4z0ykfcAtzFdMHjymoDR/MArwacJxZuLGrx+vDj+CSDAOnAUsAG YO+fre0vgsvpNReiCRDX10QeUNtfpwPrL14y+R1sGz7ju8pyb3+E3GFmWu70OD+fzdlI0ph0 9H7SNUFDU1FfXtHNLDVAZQ63vcgg7OFbA445tgJ/fDWxYCrvlklK0tsb0AuEyjEwL+dtJrbG Gh01Qy9vP+CsoJLD8/5FWsfoQOLGPFWxgP281luGG2txY6XGub+67oKJrA/fdbGjCJ+apWBo +sHpzag4iPn6ZKFZroNJRfRtUu10dUyWeVuvXafevuZHPE53zAyUhvkH5CIfWtmL8QWn+gHE jLIu+D2fXxgSRbBYXM/Y3FMX0xl9FYSlvDCSlfn5/FIGQlO+BDDU3z9eXn72AeD7iw52UfoX K1sTZ4Es0QB0//r4c1T+fD0/70+H/8NnnyAodTA4Im5KEerhfHz/T3DA4HF/fuhgRcrY9fnh tP89BsL991F8PL6NfoMSMEhdW8OJ1NB+1Q7008/34+nx+LYfndx16SWryQWnCSdLZnVXZMDd ndlVcJanSxTD0qNqpVX9alXvH36cn8l+aaHv51HxcN6PkuPr4XykB5dYhvO5mRYDRZLxhEna sP54OXw/nH+Sjncy53Q2oZHj1hWN9rEOMO6m6WYF4jYbTT66HNOId/i7z7MRwbSe8eHvZf9w +nhX6RU+oE/GURwZkRjVb3M/bZIdjX8bpdsmyeuLMaZlMyQZiuh3cXx4ej4zo4AKERGX5t75 BhM/Y7NKiHiGKWmoMiIor43HEgm5vjBeXLz15HLBrTFE0J3sJ7PphAaBRQDdrvB7RuM0wO+L C3psr/KpyGH8xXhMpbMyhkNySmaJCi/0JYTAcxUARSO+lWIyNfMnwB1jvJjyCXrjqliMeRSs 1vl8PBA6K8ur2XjgwxxaMB0PokGUmM34BI9+OZtPiPWCBFArvJZPVzBQCxqKHwDzxcywxlxM rqY0NZefxnPjRW8bJnCiXnZ7IHl4et2flQTKrMENCPlkZsRmfH1N96KWQROxSlmglZNYrGZG xG0yo0gdVlkSomvdzDSKmi2mNLeFZmOyfJ7DtVXb6E4jm/gL47JjIej2jF4ffxxeh0aIHt6p H0cp7QEnjqubQVNklXRQdthia0sw+n2kIq//ONIE6tjBdaFVCJ2kYJx70mqwqPOqJRiQ/CtU jcVZlvMih3yQtm8s7bH1Blf/VzgFu5tLL7SWcHVh88jC6W2s1iqP4WDowunnmHTm433vjrGX 5FPzOoS/zaVl8AbTdz43EjLk8YSeLeq3tUzzeKaIer5QLi4G0n0jasaFkNBr0WoOhZrVVos5 bek6n44vzEPiFf2CTuZ5nL8f/z68mOdoz+miADX6URU2WzaBzO560R/41f7lDQUddhKSeHc9 vjAYVZIbQTIrWDGm2ZOETLmbZ1qRazv8QD2TCZCqaloYAvMoXeVZyj8NIUGVZZz1lPw2LJZ2 edJsZDDB4zYJbf/Jnt/fctokgbEX0ZVT7Jq0+DrpJj1HTx3DnF7dXTC/pWVdoeyC4ZPMr9iQ FrBywopkIjVGPNK5jhUV8/XSNBeFn81SbEJLD0+wwAG20KC+5Qi8LXBNqcScdnGMWl+t1PXd qPz48yTVev3C0g/QpmsC/EAdczO9ShPpPDGAqkvPOPY9P2k2mH0XEUjKdAoLaF9v7O8RF+7u 0qycS6t/QPPT39PtJtNfoVtMF255LRV66fjCeOPTz0Yi55ZA4psJvH3PtiBVI75/Rze8h9dH 9HqTwrr7Il0IQ8Ss1nUa4NU6dhNIitfv78fDdyIfpEGRmc7fGtR4ERZjvzL1uw82F6uPrYz1 BD/dCxzBlVldwGkKkDKjth0Ex9jBqbGt1i7ENFDpoCuWtmShsLDcecSSB/T5HQFvRbTMV8KM kuuq7pHG2IXwu0lWRXN/l97IX26xh/cX+dLi2D2HgTGf8LPJ2FAHXVhUmMlE0Di9+PhfeDR8 qx945jILkoj19Qe4bQonQb5AVbS/RiOMFNhbuIyAb8UxvvHRu4RfRk3kLdGjKyUnyvK28Zcr u2QKdUO4rrJsFYc0srR6UDken37suQHsOqe/hHHRC5Ozv8Ee+HkvWi0PUKpijtRezIdOh80t BlJRRoik+WWDzh8YZ4+w53CHB5oZ8K+FNR4+g8FFho0iGEGbEa8CkHYyexqgj93dAH5Z2nFu AxsQKUCDkaXJh8IJkKshuqN4YqNzq07L23XmpgbZmd1KEuNXHMfEtLjLcm64kS1rjJtEAL7h v5htwyIWd4pCTe/D47OZWHJZyvlxOe9p//H9OPovzKkzpfj61ZjzI0GbwSz1Eo3nOts1ic3R zS3J0shwh5Qo2DRxUNB835uwSGm/rW2xrldhFXsMSFZDxkv+gWVFSWHKlKUdlFqF1G8ik+nM LfJvy2U5ZSHa5nLcj0OHkeKHeshhB0wRlnBwCPaBqStoJ6rKEKA6TLezPvu8DP26UBbBVgno mIUiftSnlh4s6N4yU1XQ+J5zeFA4eQF0PylqOHU5XuNF1qi3EMzAip60gWowLbIj4RvSoe8N 81sFFtg+8hLdX0gy3kkPxEirhQqC7B3f7O7Q4t1G4uskhSqTE/u3bGA3H8auU3joX4fmt19L N/8lOobn2yR5UnKGfRpbCOJanYYVMP8Nv6PS2PzRBbr/cjgdr64W179PvlC0nwWh5BTzmfF8 bOAuZ3xaSZPokn9PM4iuWMWiRTI1e0Awi0HM5RDG1G1aOE5rapEMNuZi9knB3EOIRTLYF5o/ 08JcD2CuZ0PfXC+G+389464eJsl8qMqry7mJicoM11dzNfDBZErzytqoiYkSpR9FfPkTuz8t YqgzLX7GlzcfKm94ObcUXOQGir/ka7weqnHCP9IaJLx1v0HCWXsgwSaLrprCbJOE1SYMzfKB n5rx+FuEH8ZVxD0+9wRwfalpNOgOU2RwDAwUe1dEcfxpwSsRxpHPfYwR5fh4eS1F5GPICVbv 1FKkNc1NYIyDEVusxVR1sYnKtd2eulpeOcLfZv/+uv8xen54/Ovw+tQLfhivJWyi4mYZi1Vp G2q9vR9ez3/JtO/fX/anJ9eHQTqEbxp99rfiFpxGuKtivHJs4SbZHgHzXtOUVe23yl+hF9V1 6DEjjpd/fHkDufX38+FlPwKB9/Gvk2zVo4K/c9HOVIyGKF1yokKYorF2A5coDNcO56cvqpCc 2xqf1GWF8VfphW4JZ6H68ut0PO+8L8qqiHJgG3DJv6PnYRGKQJYFKEOWSWsZI+cu8bJ44PDG QcxuU1Zd7oagWENNaATUttcaCRAMUeZDYTgR1UBQT5tIjRBGQGJVi5IgrfSY5JnU85f2WGk4 VYWg7nErUBesQ6JajV1mqCe5DcVG2jTxbn8y+ijeFKjXCQF23n5qNr+O/56Yo4eXDqnRJa7Y o2D/58fTk7FL5ESEuwoDrxr5nmQpiEVfCX8Q0S6ndh/8NAqG4UGDfnqDNeFNivntU0uot2gw nsTgMpG0Rbh0BzrzvsGU814UctXEwmPWEkCbGGaHMwRAe2U9vkmYIJVbQIthF6GuQy6SGjnJ YOu2iT3mW8xCJOQN2K0VkAXnBNVh85Xkg8yXg5HuFV7ZDQK3oSxcA6UGIcKs1UUh3+S+GXlr yHjJLuMdfxlnt3bPBpDyc7kTcUwtXkWQoqRnSBdyEm74W9pd/P3ZpKzhrHBOF7llRmhv8vGm GPP64fWJ+h5n/qZGH5oKum4E+RRFMIjEUyIXmNaAkOXoffArNMhf6rB/8OgpMRrxP5Vm03Sl kQHB9jZr1NlXouS2wu0NsEfgokFm7G0sDu/gRvIfA2y3XSHxlM3qiqofSpjw4BPfJIW3D0ET jS74HANQ36ptGKaBfQ6qBYFt2oRhbrCv1locym2ZKy6OnrWOfjtpa/rTv0cvH+f933v4x/78 +Mcff/zLPcSLCk7iKtyxaY30woQWmPb0emOq79wdfXurcMDLsttcDETeUbRSQyk5+ZAubNup IXnzDiwAx2Ow/a3Hdgxj6TZWl92IPIIjOl6ie+lA0ASsCXYRhg6TgWI4+w5D6LOOZYlkGLY6 KAbbD/9v8YnGCAWv2h6Zfkb6RIok4jNWw6kjFKrlqMy0+kWIaVgiEbsekYVfG6e7NYGFzwkZ JfCDUiJdOYaOM5H4kBTYdAvuDYAAMTQ1JhHOwSA2vCk/2fF6dd9oEaoYEp7YU8mSxdKwQo8k lpTT1kthi5bUIaJYCxIEoqQSS3KSCBXO56Y2hlVilrhlKcyokQrF/Y4AyT717yzvsFYKLxWj 0uvejY6QSlsUdFe1TtU2oNY/YFeFyNe/RLPMrXWkBAN9HVq2+3IY2dxG1RrGjW5pVZFCJz6G uAcC34iLL0lQkw8zoRoq17lTCOyq4s4C+ro0VTTZGLK/0ubAardqim+y6gJ5m+0EIR0sJb1x tsAfWAKVTvzqjCwpSi6tWyCkD4FOee1bv12QJnRXxNLhkNZS4OxuihsQKJZ9JdYB7X7YF64X ppog1ndVDXaZilwHaOER7U2KGZGw8TB65Ro54TKK1QD1FgwUJ986OYm8RWOYckxTE+jvQvtZ SVHBYmvxA32SM9kXYTaGGUkpqAxOQQ01e6HttuvlSwWiklhPaKYo0zNRCWDh+dDhir75zgpZ Yzz0NvbO0BTKbdd4wKzWicocxqxpiu5PBUIw1LzemkL2IsT4k4nIpRJ/kA7LVQPhRLtSJ+rH q1TJVPvT2dQrYQRTGQW+tJ5bvJ7XgiAzNIqFVxVh6JygSkq6mHdCEN9yrHwd7oI64Xi+RKO6 Jl2RrJfm1xvAVxkfvkoSSOUVZ4IgsV5UGeYHEljXplmKBBZwCVvLyAGfdAVIBgXPKAhlxPfJ 7HouA7PgHZRpl1dHMdwUMr80w27LWC4gjQ1FRdWxaO1U1qpHre6uN/sJk8FpKQU6P7AxDvpr 6iow1A34e0jzhNfX2oNrrVKORPeSqxg6NsR+9jlINxi5JCrVWUE1gLhA/EpT0EKlsSTBMeVj NAwtDcsrZW2I9KEo4jut/Rz4OK9w7Vo+Zz3CFrGLLBCVsMQHLQjSFM1ZDeusVUFZEiO+rse1 udC6Hksn3soyYsVJ67ide05iWBhcHk11l4fNeHc1hovrAA4GfsLj6jacDYvFo6jPoN3hZGXm lLWIgfQrHYWq73OagQOw1TYaTaSXdX1TkrpvVDLwNzg/F4ObEZ/tE1zocNmNTJWhKrwV0qw6 0yT6nGXi2tLCc847gasIDciAB6zCyv3jxzsa/TK6+E14x3e2tVbACEKltCOVW4u7h/V2DRbE MBtpy9Nv1IaA0OLs2z5d0NJQNAXhpZZxivI7dUERltaq5VcOuanaslFuW2A8s7sB5UxLI3JY LgnrBNjR3AkaAgvvqStztCIDj4G0QlHiTTT34UoX7L5OxhRbhQkG3DCkGISjskuj+E0CNGXE ExGSdq901Xw5vDx84Sjw8GvKtZiYrafor19Ozw+TL2YjlDlwnsWRP7CdgQgfZxgaQgFjXwiV 4K5n4FuO6bct6pe0EW3Mwn790vXWL+7yqgtC5b//fDsfR4+Yh+P4Pnre/3ijAcAVMSzKlcjJ +7QBnrpw6CcLdEm9eOPLRBLDGPejtQrd6gJd0sK4zHUwltB9MGmbPtgSMdT6TZ4zdZSGkaqG Bhx30LjQD9yeJiIVK6ZODZ8ydSBTGK5Ff9gEUSkfjqS+zyl+tZxMr5I6dhBpHfNAdwSQSd7U Ic27rTHyj7tqkgG4qKs13E1cOCakUWK224G4bhPP4wnUbgHxcX5GV57Hh/P++yh8fcQtgVbG /zucn0fidDo+HiQqeDg/0GOmbTmbfqet00/crq4F/DcdAye4m8yod6YmKMMbmo6gWwtrAafw tm23J11zMZfLydmwvucOjW/a+XVQTkTuqvScYuLi1oHlXH07Zg3ByXxbyKuKjnZzeu564LQs EXzkI7XdjeiKbZWqHXZJW6uk1pELrpHuyBX+bMoVohDKWJ2XpAjdcLslGgYs5nYSIKvJOIiW 7tpleR5ZQXYzWpSUtQZiZLZ7LODMtzqkuz7hUrwWKnqmy+OSwEo5TxCsK3ePny4uuPJm07G7 RYwjmgCbsizDGVM/IKF8hf5sNIBuMZn+Et2kSfjcXmaVCXenNGtL3H2mPubAiwnH4gHBOR1q bLUqJtfcZ7f5YiD4B115jVyvTRq561/tXJlFxOVDInR5AMD0omRRbR1MW0Vae9En7ApkZLdM D27ay4jZPC3CCUdh4wcai4GU45hm+rQQ//Qhdhd6K7a7X6ecDpOi7RDfE8S5u1hCP6+9rNwF KKGffRYwcw6wWRMGYf+NPbdL+fezhbhZi3vBmbS1G0DEpeBYhYIP9lKfxhzL1yiGh9oHtpns uAMXuRWRe4AE2E04/QVW3ZL3w/+L1FzhFocIOeEUrrW4Bz75TBEMLb0WPTD4JrqZ3VLbPIvG WHKdnR76TB9o3JduxS3tC2UrwLDW/Bp5NXeF1vjebTjA1n0Et4fX78eXUfrx8uf+vQ2WwjUK Q7Q3fs5dSoLCk0GIah7DijsKwwkGEqMEPhfhAL9FFSbFRndaU29Abg9SazuoGrYJS30v+iXi YsCMwabDG+QnAiEeU2h6wnRgfeueWBj55L9S6D/JDAmnw9Or8vyWFp/G+4LUwGyo+Ze20Iru HYvCzZZPFrSVef5S1iVZ4TB0Z6lz++ogz32FXpSKQutxl187n/g/3x/ef47ejx/nwyu9B3hR VYQYfdp8GOo0ST2eew6RnaIez+2zZVkVqZ/fNcsiSyxvNkoSh+kAFvrf1FVEvTZaFPoroupf PWi4eAx9HWXGQ0eLGgT3MNlrdHfzk3znr5XpirJRpBSopl/iUSpTwudxZN4jfbjtwWYxQJML c8X5jZLh2aUKjarqxizACCEjrwet8tSBx5EfeneWeE0wQ8eBJBHF7ZAeTVF47FMO4Giqkcjr rkg9gdEiUQeou8XhRG8hUbUTwi61NMgStsvAiqnTEoEGoQuXPk6w/TXTp9D+KGj7QPydTChX MvV6MqBrn4ezpezuEWz/1nqIXjGuoNIdfsBvXJNEQ4kPNF4UPBvq0dW6Hri+aBq0ReLmTKM9 /5vTHftNqB2HZnUf5SzCA8SUxezu3R3NaMeLUOZ+jTND/KBQYKn+1QAK6iMoz7f82YutQCuV 0DCFKZHfhIkNwveoxuBD8s2PKsKlTSMqrFNhJtsMbgizTWPtk2kzpu49Wi6ApfTQrKItVabF 9xgY3uAPWRFE/FIKAv6Ajoob1B+wcRfyyPB2XGYovDpGKwi9+ntyYYHQBxk2ujJI7l8e0Owt Hoo4jMEh2JAm3bCU/z9QwDp6YltvHACab0UZuoZLgW81AM9BAiUB3gaiHYdtAQA= --DocE+STaALJfprDB--