From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S933481AbcIUU2F (ORCPT ); Wed, 21 Sep 2016 16:28:05 -0400 Received: from mga09.intel.com ([134.134.136.24]:13609 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1752679AbcIUU2D (ORCPT ); Wed, 21 Sep 2016 16:28:03 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.30,375,1470726000"; d="gz'50?scan'50,208,50";a="11937768" Date: Thu, 22 Sep 2016 04:27:33 +0800 From: kbuild test robot To: Srinivas Pandruvada Cc: kbuild-all@01.org, rjw@rjwysocki.net, tglx@linutronix.de, mingo@redhat.com, bp@suse.de, x86@kernel.org, linux-pm@vger.kernel.org, linux-kernel@vger.kernel.org, linux-acpi@vger.kernel.org, peterz@infradead.org, tim.c.chen@linux.intel.com, jolsa@redhat.com, Srinivas Pandruvada Subject: Re: [PATCH v4 07/10] x86/sched: Add SD_ASYM_PACKING flags to x86 ITMT CPU Message-ID: <201609220431.K417mkWJ%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="2fHTh5uZTiUOsy+g" Content-Disposition: inline In-Reply-To: <1474485552-141429-8-git-send-email-srinivas.pandruvada@linux.intel.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 --2fHTh5uZTiUOsy+g Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Tim, [auto build test ERROR on pm/linux-next] [also build test ERROR on v4.8-rc7 next-20160921] [cannot apply to tip/x86/core tip/sched/core] [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/Srinivas-Pandruvada/Support-Intel-Turbo-Boost-Max-Technology-3-0/20160922-032652 base: https://git.kernel.org/pub/scm/linux/kernel/git/rafael/linux-pm.git linux-next config: i386-randconfig-x014-201638 (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=i386 All errors (new ones prefixed by >>): arch/x86/kernel/smpboot.c: In function 'x86_core_flags': >> arch/x86/kernel/smpboot.c:501:9: error: implicit declaration of function 'cpu_core_flags' [-Werror=implicit-function-declaration] return cpu_core_flags() | x86_sched_itmt_flags(); ^~~~~~~~~~~~~~ arch/x86/kernel/smpboot.c: In function 'x86_smt_flags': arch/x86/kernel/smpboot.c:506:9: error: implicit declaration of function 'cpu_smt_flags' [-Werror=implicit-function-declaration] return cpu_smt_flags() | x86_sched_itmt_flags(); ^~~~~~~~~~~~~ At top level: arch/x86/kernel/smpboot.c:504:12: warning: 'x86_smt_flags' defined but not used [-Wunused-function] static int x86_smt_flags(void) ^~~~~~~~~~~~~ arch/x86/kernel/smpboot.c:499:12: warning: 'x86_core_flags' defined but not used [-Wunused-function] static int x86_core_flags(void) ^~~~~~~~~~~~~~ cc1: some warnings being treated as errors vim +/cpu_core_flags +501 arch/x86/kernel/smpboot.c 495 { 496 return sysctl_sched_itmt_enabled ? SD_ASYM_PACKING : 0; 497 } 498 499 static int x86_core_flags(void) 500 { > 501 return cpu_core_flags() | x86_sched_itmt_flags(); 502 } 503 504 static int x86_smt_flags(void) --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --2fHTh5uZTiUOsy+g Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICBDn4lcAAy5jb25maWcAjFxLc+S2rt7nV3RN7uKcRTJ+jePULS/YEtViWhQ1JNUPb1Qe uydxxWPn2u2c5N9fgJRaJBtyzmw8IsA3CHwAyP7+u+9n7G3//O12/3B3+/j49+zX3dPu5Xa/ u599fXjc/e8sV7Na2RnPhf0RmKuHp7e/Pj6cX13OLn68+vHkh5e7n2bL3cvT7nGWPT99ffj1 DWo/PD999z1wZ6ouxKK7vJgLO3t4nT0972evu/13ffnm6rI7P7v+O/geP0RtrG4zK1Td5TxT OdcjUbW2aW1XKC2Zvf6we/x6fvYDjurDwMF0VkK9wn9ef7h9ufvt419Xlx/v3Chf3Ry6+91X /32oV6lsmfOmM23TKG3HLo1l2dJqlvFjmpTt+OF6lpI1na7zDmZuOinq66v36GxzfXpJM2RK Nsz+YzsRW9RczXnemUWXS9ZVvF7Ychzrgtdci6wThiH9mDBvF8eF5ZqLRWnTKbNtV7IV75qs K/JspOq14bLbZOWC5XnHqoXSwpbyuN2MVWKumeWwcRXbJu2XzHRZ03YaaBuKxrKSd5WoYYPE DR853KAMt23TNVy7NpjmwWTdCg0kLufwVQhtbJeVbb2c4GvYgtNsfkRiznXNnPg2yhgxr3jC YlrTcNi6CfKa1bYrW+ilkbCBJYyZ4nCLxyrHaav5UR9OVE2nGiskLEsOBwvWSNSLKc6cw6a7 6bEKTkN0POG4dkY2R2UVu9l2CzPVZNtoNecBuRCbjjNdbeG7kzyQBd+7VjmzwQ41C8tghUB+ V7wy12cjdzGcW2FAEXx8fPjy8dvz/dvj7vXj/7Q1kxzlhTPDP/6YnHShP3drpYONm7eiymGZ eMc3vj/jj7lTZgunGR9Rgb39ASUHPSVsx+sVTBlHIYW9Pj+ML9Owt+5sCtjfDx9GndiXdZYb SjXCwrNqxbUB+cF6RHHHWqsSKV+CzPGqW9yIhqbMgXJGk6qbUAGElM3NVI2J/qubCyAc5hqM KpxqSndje48BR0isVTjK4yrq/RYviAZBqlhbweFTxqIIXX/419Pz0+7fh20waxasr9malWiy owL8m9kqHBUcdZB8+bnlLSfH5QUGToTS245ZsDklMcCiZHUeKozWcFCdYU+szUmb67bJnU7H gUOEYz7IOJyJ2evbl9e/X/e7b6OMH8wEHBl3lAkLAiRTqvUxBXUcqBvkoKtlZSitWJIrycDU EWWgV0HbwfC3JNVpj5gCGCEDrWdLUPl5pPZMw7Th8bgytP9GtVAH1KvNylylijJkibVUSFmB LcvRlFUMLcQ2q4hFc7pmNe5Bag+xPdB4tTXvEru5VizPoKP32QA+dCz/pSX5pEI9jUMehME+ fNu9vFLyUN6gGRQqF1koc7VCigDJJATPEUPuEjAEKGfjVkGbsIoHj0370d6+/j7bwzhmt0/3 s9f97f51dnt39/z2tH94+nUckBXZ0hv2LFNtbf0+H7pCOXBrPZKJEc5NjtKdcTiBwBgsUkrp Vudh85aZJcBDezwHnbUzc7x+VnOwS1kbNgKfYHZgWalTaxJm1yNWIXixIRhNVaGNkaqO6vUd dw7IkhpoGAcoB97NlaKG4wwlYM36LNB6Ytlj7aMSt3ZjcaWwhQLUhSjs9elPYTnuIcDXkH4w prUUad3zSK214DJ4sw1IMPeiT0GmOR5sYGhrRM8Amrqiak0Ai7OFVm0THDoH9pzohF4IqOls kXwmtmEsA4yAY8sDqaqWfU/hFnkANNKI5feEbg0wms+Zm+NoQDzNrQBtYTxDI3Iz3XQBcnLj pprW62EmVbUBK+Q01WjuYN+xp5423V/OVyLjRHdQEQ/cuzPhunivZW8Rxlolz5aNEiAHoHys 0qSyAqsP5iELMWsLGrSOpoc2vqZWESarPe+wELAG4XfNbdKWF1mEdEe7PvJsTYH4vNE8Az2d U4c/dpxQjGBtHUjVgei5byahNW+uAoip8wE+jiohP8ZmI6nHjSH35oZWLfkkHnOkC3qbs4Pz gsbc7Tf6/XVG7VzKHbuCB0Q26IQacLSoVR5utNclIj+9TCuCYsx443w6p0CTOk1mmiUMsGIW RxhsQ1OEKzSp5pNOJYBQgbIUjANOnwTl3x2BBi8cY3EoNTj0nkLhZyg2WxmJ41DWJVUIhrlR VQu2AuYEp/Wd9kHvGueOgVe8Ctau0XAYl+k3qvvQNQsULa8KUMahOzy98thl0YYLVcBgg/gB b1S0jGJRs6oIzoqDJ2GBQ1NhAWwvsR9l5NcyEfhKLF8JGFdfJ1p43G7nfRTU8W4y0X1uhV4G 4grdzJnWIlbXLoyRkzrCyyp00x2wpQMrfRiv2b18fX75dvt0t5vxP3dPALkYgK8MQRfgwRHF xE0kBswRYTLdSrowAjGOlfS1B8MazMlU7TwF80OES0f2zlSMMkbYQMrmrBrGCToN7pOStI7F nn18R1vBaOGHjbNcOvTfgTcuCpG5SA+1Y1oVoor8Dqc6nAUKZqw8I7/+NnYzlPXL5NRBU/HN 1J4e2jhq1WEnJ8jRIfdhGaK5X1rZgOcy56FAA8IFR2HJt6Bm4Ahi5CKwjocQzwjwcUwu9gta BI4V2rcMMfTU+HkBCylwqm0d10hQHMoVYlAA8oDNI8DlGhKgHBDawZhsQlqmoShfqrklCWBL 6Aq+tANLUFCmIFJeo8/tWEullgkRY7PwbcWiVS3h7BnYDvSrejeWALWAC7aAWtCpdObBxc6T XjRfgL6ucx/L7pe2Y006VBwNlKYH0NHKNZxAzjyCSmhSbGDHRrJxPaaGFbERLHera/AJLZyd 0L6luolYSEclGh40ju6nl7cylQu3WpRs90Fkv3GdYQWgfdlgyDptoRdLv77OL0g4+no+VDdB y1U7Ee9FSOnDEkPwj5iB4Rkqww5OduSPTJW7mgtARk3VLkSMO4PiqWMJHG5F8TTxDBBzBKdT Io3JYh7Y+Jq/2wpucFsxPYUIE27YDkX69OOirYUtQV142Sg0AvxUaxxHCSbOcI2hI96H52MZ kCpvK1AMqKIQp2hCzIynOCN0nKk4zg8lDHwDGpVUBHGtq3gXVbPta4HLe6yoh7GV5JJjgmje OmVBbXAF+9mhK7pmOg+tWpUjouozHedHBObye5EkgOmtVWAKiuI4rLLI1OqHL7evu/vZ7x60 /PHy/PXh0ceEAtlWqz7SSwz6sBmObTCUEYbzB6fXwV5Hlxw3PkQqbC7qIgB3Gi01QMxQvhwM NYiErk8SSUlFxwcsQX243T3MpSe2NRKI2QC91xjHLRqdHXIGsW8wMIgFues9GZWKpu221ULC oEDa827ZOxHJSXAxpwpsXhuo43kfmzl0Vc1zRrnxgwc7N4uw9qHQh72TcrA9fKGF3YY9DEQ4 A8raaiIGiHEXmbssotPDekDHze3L/gEz2zP79x+711DOHFR0XiEAe/RLyQ0yuTIja+BOFCIq 9oF4NTN3v+0wkRVCbqF8nKBWKgyZ96U5nG0cOWDIhJIVn0NgCZ+dD4/0DO8kQeKuhtK+3vWH p+fnP8aku6lPwyCDT8Y2oHZRbkHvRrH2nu40kqe/RyPruhDYVOWQGNeOs5PMKsRNWgbJC3eC /dBhW9W6Du2pT2hPEF1vE7QDeHUJoNyxuZzByDJNSSvrNV31qHwM5nlBfnm+272+Pr/M9iDI LrD+dXe7f3vZBYJ2gwo9uhFwlPYtOAMQx32sLCFhzmOgo5+Q0GXjzlZ4OrF4DpZCUgHPBZiL QrgIbVSBbyyYFUzK944/qcWQEzVC1VVNrMQiFibHdvqAJG0KlSk6OafsIDZzEKs+iVcwUbX6 aK7nZyCSgh6NP7MglNYDlc6haU5Bq3ILsHclDGCgRRs5ZLDCbCVc+jpUVK7MI3uy7wPLQQKp iA647kN3oze5kr3vX9DTqlwVX/H9vv85V3NgTYL8AB0wZ+FDL6Mdu7i6pA3cp3cI1mSTNCk3 NO1yqkEAQFa0Uoh/IL9PpyV8oNIBVLmcGNLyp4nyK7o8061RVNBVOrjGYyQn16LG1G420XtP PqfTFJJXrKYpC65yvticvkPtqontybZabCYXeSVYdt7RdxAccWLBMBg5UQuNy6TK6aHlhCZx Zx5j0/3VJp/z+hSyVKfTNK/y0CFG6B8rYDQjDUBenw0xrYzJIPlxQSbVKlHhohaylQ6vF0yK ant9EdKdJshsJU1g/5DZIOrAoR0XgwY+LsxAtFlLNOL8MMkti+4Qlg23h0hXWMYl+JOAB7QN 5paH0YXaXexCvynRxEbS+spTJa0lADFz2Vjn6pJxQU9eqQqUHNMRVO2J71RzqjHeERdwQAct 2TuhhsJI9jQHAGh9kmSu1ZLXTnMiUKJUvtvzMMzVF6R7ORT7vYwNbO09OkkmboaK6KKaEgw+ 1dUvPEtmbcEhA7+qWw2RCY9xghj2t+enh/3zS3RfIIww9eekTjIKRxyaNdV79AwDpBMtOGyh 1nH41W0aBx94263khNlICUHV00vw8uPF4KYpxMYdhzHlr0A3zKl7U+JqOXoKXiRQAqCFKPcN 2FgrvH8bKfeh0E+esgkHjuhYj8UYAnAqrmBHchUqDad/mlYEjdQKL48kRr4vuqBxTU+9vKDR xALGUxSG2+uTv7IT/y/eqYZRUutAeQGKBdruM/ypm+Gg7jSZVyC5A1gEnzk8TKJC+agG/IeX ilo+RhDerTsMSrK6ZXFC8DAiT6MumPnKcWuds0W+Xnj97dCczxCkQWEu5zFGi4r7RsMG/dVt YTKmc6J6P13AvBVLo0eu6R4AdhiWcc1T+aGmAnTdWDcEp/UP1svlmbLYR5dioY86a8otnOw8 1509vuI+hh1AU5MKzyNdhWG1saOlie7CemfbhfX85a1cX1+c/BxfFZ/2OOIVIzyRcg2iZVwO HFUrOQEq3knGADkoeAQjoeepQPv5/MwYfIgvcR7Kb5CRaPimUaoaFdXNvM2Dr/MCTcX4bXy6 cSwZrg7DGjZRRHdgdWI7Fg/hPnc9ecgkTYUOYIe41nE+wF2uCM4wpm1cOSZ/lsnNNKfcEIOB 86vwprDWbTORSvQqGvDcCuNp6+vLiwhnlj3EoStLq8ObS/DVGQYDFTd8srzXWIMcBqHLmM1J B0bsEUINzKfhsBuWvhYABGpgb9DuMhdJisk+OB4bASNjQRpBrmxouM8Lykvv0yTRObjpTk9O aMNx0519OiGaAcL5yclxKzTv9XloUDxyLDXeW5y4n7zhlF+AOkcgzgOh1WisTlNbpTkCQSfz 79V3iSyof+arD+NUFpNBqBGj0CloVPS4ZchAL5ePAEyxhSoWsG9uVKwZfOAVuiMRhcpFse2q 3HbJteXm+T+7lxnAvdtfd992T3sX1GJZI2bPf2DINghs9amIwHz1rzDGKNkBMfgXHOh+VRUm N8wxMbISDZrAPAjmjreqkFRx3sTMWNIH1karIt0tMEejNlB2a7bkSYgvLO0fIZyOuxpRF1lY Len5KC7Uk9afPXwN8jLDOR/PbRYmkvFrQLdOGM1RDsCnrPAlUZ+BwipN+HLIlfSXLXz/DmOb 4AXWeOE9GzLWCzJS5tvq9yCuhdcUC+N7mKqp+apTK1D2Iufhi524JZ75IRSUC+U4WDq9ObMA 7bZpaWttjDZc8Qp6V1NNF+y4Qq5iBRPSnOuuOWxtdMFiWBFuMKqYejUJWUTPEGLi0WBEIyl9 7GgTmifpji0WYGYYnWZ2vL0/mIwpa41VIN4GdEeRPsVJOd7LFfo+nFVsG8CEeTr7lEbIJ6k3 /UQzFFHyyrWzojKNbPihA8hioj4qH5ZUqNT/92dhTodpfd2J28PhWkluS/UOG+CiFp9elIDj 14gQVF1tJ3P07nA0/OjazFDe3wSJu0ACbYYaWxwf6OSwbgD+T0TBMSGkGpC1BE0lC+H+PxHu NgU9NNZEAcHhrcOseNn939vu6e7v2evd7WMUrhhOahwEc2d3oVb4TkjjA8cJ8uEZQEqMgW9U DJIKMhVfEzgwDH4JNj5xG/cfKuHGGNje/74KxjHdjez/voqqc8Du9cQ1eKoG0BBeu/upFGyh 6jgo11pRTax+sEBTHMNqTNAPUx+dmog+zHNy+8dJTbCEczjI49dUHmf3Lw9/+nQ0gcEbZygm Q91NlmGf2OV0Bq63SilT2AyuVa3W3TK4Jx0TfoqDWgFhgChxDH7jIKBUVBLcuR0N5zlAEB+K 1qJWcc/HdG8EprhEVk6RDKi4ePAXPsEFozsKiLndq91tkbO4VqXqhW7rMOM/FJcgt5Prz0dR 1Ecq6vW325fd/TGgjmcQXceISe7dNt5FYI13eUNhE/ePu1jf9cgiOrDOl0aBrViek1gt4pK8 jsEEWnF8xG1Gvky1TTVh7Lxgp+/Z3Jjnb6/DUsz+BWZ7ttvf/fjvIMCcRYKGhn2h0MWnzY0j S+k/32HJhZ4K03gGVTWk2+iIrA5gJhbhgOIS30FcNowrLsWekrruDaZJ5s0RqM/b6YlLQ9tJ 1+R0njpDgOEDOH2YAt2mSV5jW+qeeGn7myERs1CryYYaPT3chhkxdW1/uHE6Rgt6eIbSk4oX lv32/Lqf3T0/7V+eHx/BvR217yCe/kcb+gu8o9QaKthvMnT1Rz3hv0vdI8pDeb+th9bwu9uo 009QYwLPVIKOvtTcfvp0QqdpF1yRLpLMu3oeihUGgYNgXiYzwULF5kvcdbkuE+STNmjBx1j7 pf3h7vblfvbl5eH+1/ge1xZTjfTm5pc/nf1MK4mrs5Of6eSvhp3JBeWvOc24NcV8GBX/a3f3 tr/98rhzv7syc9mr/evs44x/e3u8TXQu3jiUFm+RjksFH3EGC7/cJegDXMFbpyUHvyR8atG3 ZTItmvRCN1Nt5GP3vFhMTKqnSmGC8CuOgrqJ7e9cCRUFVxuZOUqQ6eGH31+od/v/PL/8jkBk NELB3ZFsSb4wbGuxCeeA36DmGK1W8GHekm8nzAGnVS+U4w9JYGBRMk0H9LDhxoLlq5gxoqB7 GBpqyq07lwCpZJNcgAmZ/UVv+lRa+trBXIt8QcO0VcXq7urk7JRGaDnPphagqjL6BIiJwCyz rKLXaXP2ie6CNXP6aJZqaliCc47z+UTfi8EtmX4nm2d0f3mNzxqMqlYTKz+HpWfuKii9ygYf 5FvaHsKQKlEvp+VTNhVdszQUHNJhIlcX7vV6lK1v4keoLhvWP5xlE7qwpzuB1oK2uAGPF3jK KiJV41Nvs+3iR3jzz1WkArqiAgDv45qxNpjtd6/75Np3yaRm+dTIJm4VCZ3T051TSmUt8Fdl TOweFwsUNtreAS4+IvoxD7Wedrv719n+efZlN9s9oSW4RyswkyxzDKP2H0rQUXc39t2LeffQ NcgDrAWU0mapWIqJV52e1D++SKJs0bn5mX6hnDFR0HUK+pZMtbZtndzPH48a/nIGZocmh5Hz FZ4XKlnAtu6WU88xiE2++/PhbjfLD1hq/Gmfh7u+eKZSH6f1D/BKXjVhlC0qxhxXGUT8oWMr myI4f0NJJ/vLO+O5s+C+syq5KTSqOO07KoSWLpDmfn+BStuvHRCKr5kcaol6+jEE31jNDqzB NA5N+qdVhyUYm6cYuqJPmVAYr8LDjDfxA2yQ5I9yLabUa8/AV5pPxN22JrgWO4E++x89AS/Q 3/SlgGPIhb5F8ss3cEgi8OK/OxH+JkZfJmX4+ndgDG+kI453P/GV489bFKGUFbzO+OG9+cH7 vHeSHGEg+FNPvcGSNoDR8NFfyw6QNBZC/+4SGKawqCVBnuB5hGvg/xm7tiY3cab9V3z11W7V mzccjI0v9gIDtsmAIQiPmdy4vBNnM7VzqpnJu8m//7olAZJoMXuRg/tpHdCx1epuKVC5oahR vezJvLqHV5hkhYjSxX2Lm5fz46uQcmf5+Zd2ysEc1vkVdNOottwwxFJLYVxSl0NVNo1iRbAX v5T1qYFl70hklpms9SbBvKgzFsO4d8MRq9DL5C1UVqPPMO0eNLC/TERLw4g1hGamjoqPdVl8 3NyfX7/Pbr/fPY/PirzjNplemU8pyHRiVGt0GPgnggzpUarh8RVK/Zzfwfty8mOQZQ3L102T jr7aYMsVNtU+QaBwfCzSRjeaRAzn1ToCAeqYJc3uZDERHjNSoS0Itvk75YX/Lhse42EqH99W H/z2zKVaPrPYH3ewxTS8gy0W3zhim6lu4ioy2DyIkVLA9p2YYx0R2O0oDUUHcz20lh0McINQ FmbG0ZrBFjmaG8X5+VlRXXOJis+Q8y06wRgTpCzQvb4zFRqNcDSeKKyjVqKwCOqVHejcpzdq NA99vgCs49O2bfVkQkGDF7gbkKB3xpJaJMtFSzRDFu+QbO3NlK29KTy+Cp35ZA4sXnsnXiUr C0hmb5d7SzPl87mzbc16G0owDTFVPgOVx2+5AXHKtldtK7R+Rqs5s524avcaPZFpEYEXAjIw jD3bh2AUqS5zPtjY5f7bB9TYne8eQXoHJrlLUzcnvIAiDgLXkj/Lxbg3hqC9QvDHnClostOU DdoL4fFANR2UaFpz11REXS9Us+M7qCfkBiE7373+/aF8/BDj/BkJ0kpKGLNbf6jHGoPmwYbR nIo/3PmY2gy2l3z0YISCNI7NT+/osK9a/HIkk6V5YAtF1MxWkkUcjxvhNDidQycY2nKyr5gd h9fi/rrF3pISXV7BOJr9n/jXm8Hwnj1cHp5eftmGjkhgGTkV7sSjMV80ofvz5+SIlyn5yWnO FVogTdom12FtyBNAOB1zxYLfGG+cYZ2u5Unec/TCEUXPQfsSixzb/JBSBRtWwqUWcQnW3sM+ ayzBVlFshSUPHZXVDLqIGhoN57sWkGSgyUufga5J+FiIgfOrBoMH55v6W6qaNBraIY3jIyuW VCKIhB6juiM8GARg1vTpkgpnuYw0DR+SwXFR9XtXAHbg4SG1a5UBFWs3fdKVXFuL612HR20Y LleUZ0THAYvZXKnbvtJ+yFNkAb0WbdPhbuDl6e3p9uleDXK0r3TDNulGrqnFpWf5/pDn+IPW I0mmDa1uhHpnCX3871LiZRpjOI+zyvdaWrnzxdgftFzi6jNekrCTTdclS0qieLWg7Ts7lkOR 2ssRh/ujtDyZZMvhRDSS2pJ6DVvn3avQgv15uT3/eL3MeDTBDZuBCMdV8SLJ/eX27fJVXR77 7ljTTd3hJZvGWUtLxR1ua+k4gcXkVF01cXJtMY9qIj6JT2lDS1FdEbvpGtbMMgr6JrguLMoz AE5NVG9TQma+e72l1AsgYDPYDTDUtp9fOx610UZJ4AXtKalK3ThzIKOChEiYHIrixryLzdbF KWJ0K1e7aG/zrWRbvMON6TNPk20KrnqiDvsxW/kemzvusE6m+zgvGXqyoxlNFhtBrqpTltOq 5qhK2Cp0vMiiss9Y7q0cx58APcp6uuuHBliCwFFX7w5a79zlciotr9vKUeLg7Yp44QeKJUnC 3EXoqbmvi8oJA7MDhx6BTajakdfsB7aGk3yGAvOGRat5qN5ECzFIWQlpFWXs6Rua+A0DB9JH 9clzA6e/TU1xP5+9/nh+fnp5GxZzQYfp582V/hVEYaus3KcKchG1i3AZjOgrP261Y3y8XrrO aFyJQMqXn+fXWfb4+vby44EH1JPGNG+o98Iqzu7hxIAr3u3dM/5XnXYNnpjpYa5MSLNXeA7R /dvl5TzbVNto9u3u5eEfKHX29emfx/un89eZiJOvFhXhdWKEB/SK1shLdwuL0WWPniyrzsDQ tJY7SKGqvi4Io4jsEU+VIJBx/ac4eXQafBZnG4J8DZvLmDpktEMbCxsYo5kAUYyV/+m5D63B 3s5vl1kxeCT8Fpes+N28eMD69dl1Ayze6V4Rbc7jB9F7DYDR5iAV5qeyskbxylRTZfFDyDz3 lzNsrq8XOMw93fLxyRWxH+++XvDPf99+vnG1yffL/fPHu8dvT7OnxxnKKvxkotqjoK9nY1ij 9CF5AGTGlaKSbqtop8XvkwitPoydnlrRo08pKaYX3F68SfOrbFoswUyo/U3BoSJatEYF4q4n 5ARIUhGfD3anxjLF0L9ASjqjGQCtjtorIHSL28c/f/z17e6n2Q/EEbUXI6dipfTSW5Es5tMS IBQDwvGojqjJUer5qqzCoyyI+AdjKa1qsoVHa3J7OeiL6Xc1YonSeGGTmXuePHODlt6Pe54i Wc7fy6fJspbWgmvtO51LU2cbI9jnOBsWBN70hyOL/y9YaLMLjYV2Ue9l1arxF9Msn7j39/TM Y7HrvdOXVWaxOOuHZhO6S1ohrrB47nRXc5Z35GsWLufudNNVSew5MPTQ4f3fMe7T43QTXR+v plc4lmVFZDHzGXigT99pApbHKyd9p1ebugBRdZLlOotCL27fmTdNHC5ix2IxqCw7ie5BLHdm lnXa1pHchyC6Dw57TB1lCfebUO4qkUv/JSNgDQIX0qSNDiVc82J694Bhu+WAXNS7fZdXWNZU ROL6DeS/v/8zezs/X/4zi5MPIGb+Tq2ajNqY4l0tQEXD09FKplL7bGqKdrpO90mphlvpMt5q EeQ6Kvk+Df/e/tykHVAQiVHtizFrbUnzcrs1HKU5ncVoWMVu9mNRlzdn08nT+rmVJ0VvIexv WpJGlk38HkfG/x4xaeWgk5gcV0YNIpTU1/CPvQBWV+/VIS+P/BUse9sJvLs40UybxaXJLnID j4oiLRk28v2dsZntPtt/ing5lhMg5/oM/ZfRZugcZzdF4MeB44zaKLGOppIl3LE+Q7MkY5Yi dlCjAPTUhMeS5wel9A/XKIwzWBxeUfhUKocKm70YtUlU25U6IIOvS4z8Wte0iyLwmE4oKBVj kIOEmtYcrLiJjBjSvT346+yfu7fvwP/4gW02s0cQ2v93md1hjPZv51vtWMcziXbkFVuPDcHz +2bk5Di9jgzS57LOtHiSPBPondhdePQSL4rhET3Miug8LMs96k0ujm02/eoJn3xrtsXtj9e3 p4cZ3x6odoAN9hQllvATvPTPzGb0JirX0iolxNYFtS1VWfnh6fH+l1lh3XQZkguB27wH1XkK q+DDYSGM0BsxZ0BRmlSZ4xgbW9YjeSxZawZz387393+eb/+efZzdX/4635LXVTwjoV6h7nWS kW4dacP9TsLfdIz066yE7+CUhktCLsHuTvDPg4WRQoTbjxpqSQKYb/E36i2njH0y7NciNJvd h0UyyG2STXF2J1fq7leoccWLGH11mrg4ZeJOTKOh93NW6rRKSj6DygmIaM1HmaGgwh4t+2Sx ajKxPY61yt0UWldEos2BGT624qibpunM9Vfz2W+bu5fLEf78PhbsNlmdoi2uYe/IaaeSXvF6 HOqjqTd7YF8ycqRGMWwmJdtJbYtuHxLFGH8FbRHSdUMfcUBytFsb7q9Vt4culqZOgvMysql2 a0Ct62osD2WPzz/erAJxtq90zw5OgElKPgolwM0GAwnl2uWnQNB4W1yJaWQRGOoKjSQfdKSI 4HDbXgnzyd4k8B6jdvQL96tR2xNvWizmwax2h8BAjg6UXGOwsbhO0/2p/cN1vPk0z80fy0Wo s3wqb0QtNGp6TRJFFyo9YrObEAmu0pt1GdVa6LyOBltXZZ72SZYwVJvIwFaTyZurtbIc9/TP jessFZW9AnjuggLyKzonNMgha8ctdXAgWdwxesYmjhZzlz6Rqkzh3KXM8XoWMQapqheh7/lk JRHy6ROzkm+79APaV2xgiql5NsBV7Xou0Xz79GiEBemhskp5CMPJjLtAyt2zPeOvBwHoGB2j Gwo67EWnjgtnTVFR92lD7WCuz8k2bXHMTSWNo8p1Ves4ZaZqK3DJo5oy0naSY8KmQdvmOT2q qjxtykNsMWnjTOu4CFZLSjQVeHwTVUq4bEHEILa6RbhOn8RYoYWGE+g1a9s2isYfjhPI/uU3 +wiEv5jxAkcNMMAHRns99Usfs4asEizc9d3ijiUYsJ3F6mpfqTM1AK2ghWFVhAunPZV7GBok qoBGoVGydOf2nQGDHeY40HjlxsnXBZyYacFaLvR+68iYPdZCxBtl48xhwQhXXiCqPlFGEbv+ MvRP1bF+p6SigNUvcEYzpjr4Dr8k1T+eX7iazNvKi8Y0WKPXaVqpDsMK1GR5I9dws5Bjxp9o OYFoxMYbeNTkEePYxPdHDXp8F2VjCbXc76Agd+wl5xRj23yyePRKoeaIkYQm87hJI1MVaHDE hetMldJ7Wp12fAZOTZyKLQLPDf/FAIjayoPJUKVXZj8chOT3YA7NTRgs52Sn1iVGJ0ZtXpmo bimCJYlWTuDJafdAYIEdW/g0doRd1sWpPBqpSZv785aa3hywmJZ0PRH5jjOaFJJsrosCxKu8 KkJTXPjfOqI0OlLULWM5/U9RXUfjz62vPVy7RCePBGgOL4IeplIvluPUdZHNu3NfX3VOpFuC Q14iDQeMfDauO6JokYQFzR9rA3bnl6/ctCD7WM469Wt36JOGgPInYalocPCfpyx05p5JhL91 ExBBjpvQi5eualLC6XD8QHlFM4/h9DijpQQB59kaYLOQOjqOc5L2ElO5AYaKBCJtHU8mjCqq GjwcQ1QxzWfuwDEip21UpLrRZ0c57RkcBgh6rklpPRmOtq5zZYnl0DFtYAsmPFy/n1/Ot28Y waK3KZMpm0bZyK9V254SBmieitizIqYpUzk7BopmBlrcHUnugYyBC/SX4TFGwAoW2uZGKVUG M7QRZUh2L1ioPRblqt5Ym03cDRzbjWxUfDE+SiwujkXZRsKYJre4OXMOVqDzGM2AlyjWvasD C/oSu4NPW0s8hPJLWVgMICw3B/vTLsnp3W9/2jJS7YUekScexF5ZygSVCZffboB2px5tvMF5 3YggDpQrw6xV+nW83J3vx051soN5pOBY3a4kEHqBFh9WISuvOHf+dJaVoEugmTCrwAYHwhWN jQa+VgXteR+1KD14kZbhe9Xc16cD9/WcU2iND7oUac9CltG96kOPPfXLGXkLpn7i0fYhdeOF IXUiUJmKLLGlxwlmT43G/cNbxCJgwdPjB0wJ3Hw08Xvf8U21SI/tk2dNqm9pAOghXhSi0tVm fT9ZLGglzOJ431IeFz3uLjK2bFsi6x6zGoVKRuj1dVonERmUWPLI3fRTE23x+80tc+BAdKow NER9j6fFR3lBRGYjTqPIOia+Gzdv2eCTSXE68Ejh2uWjgGvyQXUJwtA+5RVvBrO3B2iiz+FX 2uKDokm2zeIyJ28jJW+R7k9fXD9QXENq/t6A2gN5NfHBVaUrP6siA/Fun+R6qABOh8MZRle/ Nrw1VRahJFceh9BzZtkoUwypY8vtiH56Sbkd1wRPeOWGDlgB4sHEK9H7a9oNr/ZXC81JGFVL 0P6WCVjubyoq+Bf3j7m1y039Bhxrh2m8XsXQM3M6CPkAzxVZuThi5EkjLlinp+36Nw6X/uKn Qd2z2KCAkCzvRhS1VdQKOjrwo3Q0NHFlURTB0NmKoPg8OBnJ08TwpyLlgjQ3HgWDovVzA0z+ /AaVaw8mRXjvCn09rGjjixPPjN+MmrouUqxyrgMqV1/qb4MiWQQ/10YjUjFKbnpNDWJAi0Pb 7SPFj/u3u+f7y08YGFhF7o1J2Fhisqhei0M85J7n6Z58uEHmL7ryl0mt4mgVzF0b8FOZmxKA ptC5ZUgQDKGhA4aCk9c4xzCJzZgIxfUXKfDV/ZETrbuHr5fzZwY5A90eQU9vJTT7tNg/9vjC 4qbR4RazUY4XyTKgLywkHLqWsEFcRRxaLOI4yCxKawFaHq5CEG0JaGsGRGVcUSvOjQdX9jYD fGGxOpXwakGbMiB8bXEPlFhVl6NFk5tcWzqYxQXhTYDT+9fr2+Vh9ieGU5EBAn57gEFz/2t2 efjz8vXr5evso+T6APIb2jT/ri0GpxgXDfNWCwE4u2XbPfdmsBl1IFu69RxyI/TibkZq/Fdp UZGxf/g6xC+A9MkDE0eVRfUx0NrbGbDJirOsaMgnKhAU0lXvjvMTdrFHkHkB+iim5vnr+fnN PiWlF6cl987HM0c9kv61TVQyEC56qbt8+y7WSVmu0tW6iSDf9aKYcl7iX9sc1vpSx3ItYnNP kg5C4+GADqemexDBgovdOyy2aKrM4nXAKstpfMcI6aNi422v0qPWwM+xsUqf+vb+Tjg5Ebmc QG7BUFZXRthRBcoTEUBSK01i9nGhMMnZ2NfnLzRWOr89vYx3iqaC2j7d/k1toBit0Q3CUERg Hn1pymO0zardTZ6t+YMj1uiNb08zdK+BoQjj/it/RBomAy/49b/2IvEcQyn14PO0MMt8hxcB sQYinED1DV2EwtBcmWVO6HWJL3HqqhAcaOad4qDyw8wwgCkZNwvBzgFFL59fjjtt1zuFCHHw cH5+hpWWlzZSsvB06HJhRNES38MPhGrFBblIyNcTRUsdo8psvS7Ul2IDqee4rafbIrNswxzM b+CAjU+42aoEJ7AvrrcclYrP3FjcJTh+3YYBvQdzWKzCtkK/9OtzBSP/g+wEVOEbHaFnulm6 huLEaIkmpF9JFV9kHdII+a7bqlIer8jl5zPMrvGYGGxddKqqJ1MGnTNqXU632KsKcxQUcf1J Brw3s7Ywa93AaUejs6my2Avd8T1KsUn+xSd7zihHcQtnr6e4ibNVU4gUZPMsFxbvIvF9ptWH +Z3iwvIdjnBhbUCOr1zP6FBxQdgv8SCkjFpttB5YRWxxqd2EFt8U0RT5KSsnJng1NfvrJPZt fkSiGcskusanHseKZ3zB6oWeCkYN48rzmUNZPB3dbkq5H/65k0em4gwyrZ7P0ZUB5rhpVEl1 ysCSMG8eKs7iKuIeFUvGAZDbkVoTdn/WPEiBWchQ/BUfdZj3CDMU9CaOFXM0AzgDwqjxiSU0 pcbq+vZc6NOcxuP57xXgu9YC/PcSL1WrOw0IHa3xFcClgTB15gSy/uwttfty+QDXoapy/bFi hW71p6iSSD6AOyzXcs+Nkrh/BEu1TJJmMbZXuaSVAPbkQTEwleTRY7sY+mfiQSBZgd7KiCiw Y4niJlzNA8U6pkPMflHpoY2uDQINsTgwShbzpYcRg/G+k4Fi97aqVZ0BmAYRfc1gK7G5kyos AaXbVhhcPW4FGqyA2Ls5pPlpGx1IPVWXGgaGu0QV5i8LomwXqFXb8hUNBpPjqwOig/IqXHq0 xNKxWEzrhsz30TatyVLdebBUHqRRENhbV9oK02HQAXM3oPcLjcfic6nyeMFyouLIsfSDccUB CKC9xvWGQ7Q/X44HDe+zU97E3krVFfawvICl2r9uYDLRQmxnxmRZAcTCgy+iqmGuBuJIf2Ji +N+Gvv1RWflnBZ4tJyITkm9CmB+zkZcTkls8083fe1b09iIZiYnso2v1/cojPgn2oP3E1wXV ASmIUnEB58OReLIXPmfEvbgMMrPOmsP2UB/0qzwDpBWnPVuynLu0nlJjoSSfgaFwHU8J6aMD AVk9DtH7vM5DWdRrHD5d8sqbk7F7oqQx3bhIDteaeEFfLCocS3vJS3ou9jwsXtrCMXQ8V2GT 2kxHOhbXeZdnExVusLNO/yGUUZWnrIjJL2Jrl7wL6xmatiIbMmGLyeBLGB2JGlJJmuewTBZk nsJYEgSeqYz5WY1KngVXcJKhNJR9i8HZ3Ak241rxQ7u32VJI4C8DNgY6c+MoIVt2A8f1gvRY lQzbPHBDVowzBsBzSACEp4gqC4CpES3UEtF+nOMu2y1c3xkD2bqIUqIKQK/Slmx8KIMviJND NgsCS+yKjgM1wObINzNpwuW4ap/iuTemwuSoXc8jpzN3m7QEgeh5+JY9PeU5z2pqMgAHiCzE bEDAcwML4HlktRF6v0pzb/FelbwFUSUUyhbOgpxhHHOnFnTOsQhtiVeUuKUwLBb+ypJ2sZhP DXLOERBDmQMrYsAA4LvLFZUkrnxyPyzS/cZz10Xcywfjli8W1Nl0gJc+0dvFkmxvoE81GMAh lVlIfBO6ZpFUS8EWJeXAMD3gYfem811Ntw7Ikf6cqicAc2oCcYD8BmGUMVVL5Jh7xNDYN7FQ sWRMj6bQ4XEDg5xoTwSWS2I+AwBHXLJNEFo50yIcV6SuaKmiKtZkfO8uLds11AoDZI/c2QHw f07WBjjiaQmHuP42t/EidZf+kqpAClvr3BL2UeHxXGdqLAHH4ug59CcWLJ7/P2PX0tw27uTv +yl02srUztSIpEhRhzlAJCVxzFcISpZzUXlkJVGNbblsZ//j/fTbDfABgA1lLnHUv0bjQTwa j+6e55RncZNlQSwqElt6C7L4sPD7wX5POHcdicmDgPgyoFE4bhiHDjG4GehVU+pzAjAPXXLi ZdASoXutsmnB3OmCWO6BvqeX+4J57k/U3CYizQF7eJNH1ITd5JUzJVpd0IkxB3TNH6lKp3v4 LmUYtOanCjbwBWFAP2NtORrHpTcauyZ0vevtcxuCAulc0xGRY+HElHwBkS5mNQ6ivQSd6EGS jopi1NRKfDEFz+ahrwfF0cHAEopP4Qrc+YbatOssyYZQ0vVrDduDlr7Xi4Dx1gPNYYNzM3XI 3aRYAJjSEC1Buk43aOgWXwRZbepUjSnX4VpEbIz2e5vq1rkU44qltYx6RFaBSiJiTNnjgFNJ 2tMPjBRrDWnWpbOXimC8Wk9kWLJiLf75iaChUjZJ/6YOGKaqTXO1jkm+lRY1JFcbzBvzizJG 7lNEYOobPFLPq74XPZki0CQubjhVpKF/A6s3m+7xacTrk2ZioUpDlqtVawsdba5yqRcO1/i6 B8PUKOZLaBvOUxnfW17SXZ7Px7cJPz+ej5fnyfL++PfL4/2zEs4aUimjHV0hixdCH5rUKN2U 4oqilz5GtYfeQF7OPBnHeRTUU0uLz4lN4ZqcgcUiw/BFIkjS4yxkL8wPbKJ1Npt4yaQ/WFlG ORs19vL1cv9wvDxN3l5Ox/PX83HC8iUbmhoTGSJkzdHB1ahpNZwiQyc2yEN9DIDLMD2a/5+B f43+YaLc4vpSZaTvGiRLorgTEe+Av/54PoqoaaM4M226fBV3NiPDzRrSRi4/FXB8wyWo3Js7 jikIqS61ca1yMdS6BwtqEta44XxKlkta4qPfU9uj+YFrk0WxJRIM8Ah/DdM9dZMnRIi7BaNg 8r5BvvHWm6vGZ4WkSzusprgUU4T1RN/Vc2hPAHWvDx3dH9MCbUfVU6l9QQs6vtHaeI633+9J IlXVTRqAWimqQOQCOyMR5TxSFC+kgSB8Q6LIQkNV26soxKwPl/vVwyyCVkzJllVcakL/hs/2 mhXZ/mTFFxifJR2uGzn6VzIKTXqdMBpcEn2CGJgdrr8gNKni4Q1FDQOKuvAIajgbU8PFdK5X ob1mN3uBIJOnWQMaGuKbwFuY0rsDJVN+nTRb68eoopUPnZzeIYvUV57UCLzh+6ufu2786TX5 kd/4oW2U1Teh/sJEEAu/CchbKER5Ehmme4KazubB3nDcJoDcnzoGL5JGN5oCubkLoRdZ4v+J pJZoOmy596fjmAVqUnzh1Ss6TX4+vl5ExJXXVukRL8DSzmfX2K2VYBjPd/K2Uqc1GDPQ83xQ 9XiEtw5GPbPKW8zs3wzv8UNLGEPsUyzLGXWMhG/MnKmvnQKId2dTetckoPne/P6SHtIXhgOD 5c6+Z3Ad25jrXtPpPaV7QWc2VvtyjnR4OMDG6tRRqWUBMJjpLDv+5jabTb1xT1IZgunsale7 zRx37hGDIcs93/NG7U0alOoskeeHC/ss0eQ243kA7U9rhaZQp1/KglncbIjq5OHMXBnaDT5B o1ocEX9qNaxtWRYL6gyqdyszZDZ4mjGU+QFYpfsEal5mDVsrH2Fg2KV1s5XWpXyrvd8feHAz K/ayAxeR1WjlNKBAXacGDDXTUD1T1KFWae3bSEFj31tQs7PCUsCfiipRq7CS0EgpVjChTl7N s1UcieqY2qOB+DYkcC3SXIesgEAcsjewArYIPtnYhtlnT095tvCmPt0eAAbu3KHOGwcmnOXn ZHkEQtZOPOEiWxERugaZnB2ojJRnW0QtEPVDKvScxiM1OCJj1J2C2cIqPAwskdd0LlDk/g2X S+3xDB7ftRdmMadXXIPrJ0Or113p9uiewtEYXitRX6ndwuhqlY7PQ88GQdOQECixjkOWBRCX LqWh+A5Itdp+SRzd9EBBd2E4JS/wDJ5wSg8oAZL3lAPPSFkdIO7mFZtS9yY6D6fnB+7n4TyY 00UDdcF3AjKOtcbUqV4k5noBOWdJVUr30Wmic3rdN9hcUmM3mFC9spRQ16EGrD/KJzKWmgGl NiQxOsffVq3LpuGY5+n0cL6fHC+vJ8pQTaaLWC5id8nkVvGwymUlKGS7PqMPnQEdRmDAYDtH zWK0WuhBoyA8rqlSGFx19NOiRrBpgv/E4yzgR1Ojn0HqXdgujRNhDzd8NEnazTLXpGE8+04f 6jORkNSG8hTj4dasWJOeVePdcuSArWnwtLGNQUcnQacILGZVg16kQxVpY87KfPtgIbnoAFQo YNEemJ+9NVFsZ9imuK6WezrZnTBadR79zvH4ozXNVTZx8oP35f3Q6biLVQ82pHGwoD2NOR1l Cu0LZQKdCN0EQwqBpkvF/6iBKziahPnzYDZOyhmbz6cBfe7UpV3BOkXvpSWH3KeMrjPGMf6Q Mfxnssrb7zb5xJvJX/dvp4df+nByfet3Ps4nn3rH579M2OhL4KdEN+Vxo/Ruhdg79lZ6zf3z 8fz4eD+Ekp58ev/xDH9/hdI/v13wP2f3+OvkK2zq30/PD2+KiXs3Jy3jeic8OPAkS6LRlMCa hgnHqfJq58fD+TJ5OB0vDyKbPizem7CTfTr/o4TAq2Pes/Zh8c4Pp4uFihLutQx0/PSsU6P7 J4yBKKuquFIR4Orx/u27SZRyzk9Q7P+VwftELLMOFrX7XTIdL8AFVcMjeI0JY6ieHvEa6IKO KE6PL9ABNA4u237yAzoERtR7uxwPR1nWByMioGzjZluoOy6FiLb4VZbQWBOz0FVfgY3A+d4K OoA6VnQRqg8VNVAMQVtKAVpS5g3smSwF2mN8rNCG+Zq1ko7NrFgezWY8FO8uhvX27R16GUZ/ /PR2/w6f8fx++mUYHv031lmPwh78fyYwYqFLvKOTLyIRDNbf+HW5yNLAILXJ6SckHPiMO1P3 sBrbDqKUqC0VkQlrOKAFzD7fJ+wJg3ncP/9+AxrG/TPMZX3Ov0eiVjC1EDJSHl8v6cClV/m/ /2XS+Pzt/H7/qDbpRERTkRPY71WW9cMpiTpXL914FlErRXt3TM3l8viG5vjAcXq8vEyeT/+x N60MSUw07fr1/uU7Hn8SyhhbU1fmuzVDZzzDtNkShCKwrrb8D0dxjISgjJab1CW1zsVqlB74 AdpClR5irtxJIjWuYMred66FdOwm561jHl0S0lfLDtKSrJYYGKF/PqCDWclioa3hUiSCuOr4 OskP4lqVEIx5alhvAN5O5pM2/KgyhyrJpfuk+XSqRXDpEJ5mTkCdkXUMxb4Sk9ki3Jvpm3hF byMQrGF5t4MMVEj6thdhlsfw1ak3EZNPcvWMLlW3av6CUZ++nr/9eBWBWbVuCrKKcrtLGH2b Iuq4sAQoFB1nTXuAQczmhQcxznaMfHEgEq6T3GzKXX67vtKY65zZXs4jvI3ppxqiLS3Rkdvq rW3RJBGP0rre8sNn6NRWns97e97LMtqQ2wLAKuFW/aObyd5eHu8/JhVoBI9G/xWMwxquZSAx +JfxEv3m7XZ7Z7qaerOC3EIq4ljOt8X6wIMkZGxKy8VXTtUh++xMndrhe4ufqRE/n868xskS 8uxANIt4j2LWfbgmWr6eH76djGaQO9MUNkbFfh6qOoDo5TBKq6bwZqqBrSwZjrVDxUFtd3WI p+li6o5Hdck36ZLJ+wFQROwjB71zxbu579gqyuqoWm873WH1Cvrb5K8fX7/CRBWbTvtWyvTf zZHd/rZnwThgaLeh0YqySVeazTUQY8vbB4CECeAu4ddOAzCrFe4bsqzWFPoWiMrqDgrIRoAI LLrM0sYoD2K1CM66TzJ8QHtY3jXUDAF8/I7TOSNA5oyAmvOAwAYySdfFISlAqSs0aFk2m4Gu tRD8kYCtDSGbJksIJqMWpfoaEj9Lskpq2Isd9ItaZIdlHV0FWTLMGT4/sDh8xiKz6EY4vLIK gNTtEmoV0qSZaMEmLca+m7Tu+71zsEccOuDXFhOnLZsqp3fQmPBumdSuLVozMMCQskKwlsPX sLZAmvPGCkLrW6IGIQiDxYYVM3L4o5K01jtpH4JHnXHwyzuxOKu25rBLY8tai4Mq3VmxdG4J 0o09OAmn/pxWUUR/M518aJna9Rf8EM2dTfmRqA3i9G0CIiOFQkNTa1+zaSnYrkkJU0Zq7U83 dzV9AQyYZ1P9MMuyjMuSXiwRbmApsla0gbUxsfdhVtMu2cWosgqNWJ3DqmGD1wnMDZZJTH9q gn1qCerYvpn56vUsCumM+J/+S219cSOs0fIEQ72UeWJMgPkyNEOwK9NbDRsIvkmM4IDQINvy cOMsptavIRUnK8ph7FnuykT15w7tqqKdbQ9ZFI8PwpEYZYzz1lex9vANsO5k86pkTcDTGO9c qBHQ+E3EgMk75as5t5fLhODuORgpWVhaky058FR5uJg5h1sjjtuIjzPQJRmdj7w9uZq8e1hK VAGgMAzskG77PoBXXb/0EtqnAKQE+CqBR1mPKunlewHqa2tX6orQHdRznlV0lss4cCy9GxY8 3jBSBRMXHKq+oDiGiPP0jyHY8NvlEVSAVoFvz7FHfh3xvCIahdhYM/jfgZerBoMpllmGpf4Z DqP5S/JHMOuVbHEGMxKukeFvts0L/kc4pfG6vEXX0/1sU7M8WW5XoKj1kp+ugDBEG1BU0St6 zmolggTFi+GS9NMR2NSU+i+0zN7uQWErNB1RgezKisIUZdvGJYMl83JbqOGw8SdGgTfDB2j0 AwakyFiq+d3iBWmCJRJie+jB3Tt5I9Vyk8bjbrMx3I2k8eC7qKmTYk2G3gU2jMWjhr9B6VRb ocR2Eh2ViKP9wP2jKNno1TwmZDP46BuzgCyqt/RKJFDrBClQTtqxCmgLG55s1BpJdpNSmw8E 8XCwVgJNSVoKv+5MOZE48LbJuYPvzrkuCJp4XRY12jZpm+eOeiAd02DKBM8PV7o0vDIqc4P2 RYv8JT9Vvkzr2CCudG+cSIOU9miNguHO/hVuWdaUtF2kyO+uHhlHKXAasTgxy9PcpsWG3CXK 0hYctluN5m8H6FnUOUTThNELp0SKclcaQsp12vZTgnqI/7QA8KNSvKb1dBFhXZ1s0nqbL7Ok YrFLf3TkWS9mUyLpLahzGbf3FaGcyzieRiPkKVpcwNJg/U4wecJMkVBxmgWMwbtlNEetAUCL S250UgU7ShhLWal2PYUoK6YmSBqGLl0NMRhmI4pJonb2o9L7hZyGUR4NJDE3kIzhm4gi1UNC CAjXLUqtQZCzdNQi7dmhQaySBI+mTN4GvzFMsYkxhYCEKtsaRNilGMMb44DCvl7TBHviwRac A+VjcKs/yzvMxFK3JjWHC4x8DtUYDeANDFBKWZdgveWNdGKpPfNQ6PY+fsuicjSB3aapGZ1S QfdpkZdmki9JXV6p6pe7GJYmc4qRRsCHjeq7XKFHUP4yb3/pHCwTHr+HeAvUAi6CO6RKl9/y pYi6rp+eDR0V8dFeCokiLOCG8cMm0p77GOFoRXGQJoInDct2T6++f7ydj7CsZ/cftHd5zK3a 0AcURVkJfB8l6Y7kQFR6Xrb5YBccLF4n1KHr9nap1e52ebjd2MxUcsu7b1hhzRi8XfmTW2Nm wF9yn6n2p4F6EEaLoybGNWikFIlUvR3Tk0ZeRnngqVfzA9UPR1mL3St9bjXg9FlHh9POcgRa JM1Muz4Q1NtaDUMvSNK9s0tTR6Y2ArQ6AZflQgsV2tFJj5OOMVvU93u3GkahEFMd9gxEb9y6 QCb9ZbVo6E/HkvQdc9tBkh0+t0ozqoV8s4GRGnijZpfmDbgRVdcCgfWP3/XyW92HCnSwbDDT LWM3nNLnzgJvDQv5zHYhKJui8fzFlb7XHjzYite9OtZrijHr/el8VOQmi/yFQx6J9QPB/2eU rGxc8vZPlqA3uTOTpdxzVplnHMEZA148mvjr8fz89yfnFzGn1uvlpFVKf6DzaWrrNPk0LKO/ GFPGUkSS7BYTlNS8nr99M+Zl2R51ul7bri9YFCVowJ3C4kKpfQmsgAfoGfh6ksM2TVG5BDRa eJBq8LThPEVkA3XwC9Dm27gFMT4yfH/lLEEAeS4zejKksTwO6Lmig+eWCDkCT+a2C4UW9i2e 7QWchm449+ldUMewmFuc0EoGz3aH08K2USbhxHOuMuw9+npBpvZnV4XPrXZofeUtNhYCr0M3 uCrfv15137leOo8cvHUTHbSwHkhAT1FB6IRjRC7q6tt7IG6ipoS+S2aOOGAN6GeW3DX3AkCY nLsLe/UtMBp7F81qPEZ6pKpLWxYCl2+RxunwddE2TcQLI1sR653w5K2+EcKSjpSVjlnRV7QM e8xyr9DxsOXS/5JwyhR4YNmHepSHDom5efVAMKhh13X64TZuLGKDOWlZ0TJs7vLQD7yxXPQV uFBfQiqAbhquAa5vAVQTcAXobH1GJRfGKFcKXnM/8jQbrxZIeQbzRUjJlBDpgkJn8efjwu6R Ps5OuKNzParxBTS1RIPTmEgvDRpHSH2imdOE1BcSdFuXWH72XGpH0I+ZwUzYQDio2ospGwOr 3EPXqSN6Db3dIQoIdF93Zq+mcOknaB1LkntT99pIqdHUySOK7/ehvjBYhnUuEE95CjzFSFV+ fEz+0zkk5p7rEZ0SvqGLUXvGTbSD2iwit8uperx/B7Xq6Xo2UV5ycipwNcO5ge47ZHMj4l/r ezh/hOgILU+zO4sEYLj6wQQLddWlMMzd0LfMX/PZz+XPw5A0XkQOWQNcaHBDwI1PIFGxQFFw VwSXrrs7m5Im1R2DcXeq0X0iK+GwhcqKNzfOvGHXJsR8FjbU10e651NCEfGvfZic54GrxkgY 5pCZbmrZ9ebKj9QnAh0dOzkxD/Smbwb9y13xOa+6IXF5/i2qttcHxMhzTd9wxW6keYgEwhCT vHyS1hZ0fnHO5CW8JnSgWkLdAcP4kR8QD0mx1l7wIa23nN+wokgyrqN6WDakqD74MOBzgsHa B/sosZVNgaabOaEHNCzW+Ot/jsocz+pAdL7Om0HUACgFuEUppseSlqq1UctouFpp0Q3ftjHm +/aKZGhA7cE8BjM+NHtLwYGqKnzwc7ldTS4v+BJa94uIYlap5f6NbfdxyquMUTvHrX7Ss8WA uSl98oxYhX1tnRRp/ZkWhs5f85bDFMwS+lgPMZ7UUWl5IiUyjlLqPlPjKZKGOk4QyeutvmVA Yr4KXHobil22Mxccdf7d+fUdTbDGB6yYTJbVKhWzNXxvtEZTx9fL2+Xr+2Tz8XJ6/W03+fbj 9PZOmVls7qqkpqIl84bB6NPMOTlG4ObUyTn0/SRO1REkKdatfg9L95LQFcWDhcPN8g93Oguv sIFarHJODdY85ZFim2mWZ1kW9BV3i+MQsRe3jZo5DPqWLuO/wz7cHUMcVq6iGtFTzpRiGtlE mfa2RSG7M6KRBUA5UlBwb0onDMlXWyoeUAXRfA735NyTBdTpLK8y+CZpiZFhod5EQSRLFble gBz2EvWMgWcRBaMipKO2K/j4O8Us0r1u93RQgnL6ieLAMg2vF1tIIfJEV0AU2bHQgxlV9MYN p+PugmRdsVUBSjNTcZ+WNyfJumlAB+S557Iro2mV+Q7V5Axn97R03AN9dKWwpWldHpwrXT/F bpm605uIyCgK9mikT4akameTKgqoHh1/dtzliFwA0hyY6/jjj9diJVEMAdlcKBk8TnB1+gK2 jC3RYeC13ggDlcXkdJDH7Pp8IELHkim3V9sRXxF89oiU3LfEBuolp9TaSRQgShnFqfOFrj/+ nEAcd3ckHjgb0W/kXzxHvDbRURO+pnriM3d03xhH6iWVSj04B2PbB42lH/vIszto+bf3+2/n 52/mVS47Hk+Pp9fL0+ldpT7fP16+CfPN1i70eHmGZGYgSxbPAz1Co5q8S/vX+beH8+tJuk+1 CWrmnjOWFN2/3B9ByPPxZC3NUBZtWInfrvZ7Pgu6y5FYFKg3e+Ufz+/fT2/nkT3stw/Qk46X l9OkteDvGIrT+38ur3+Lun783+n110n69HJ6ECWNyOL5C6+3fc7O376/KyI7/anzic8zdzGl vPZLRL3/bYAiz7eG9xJA+mf+z/i7HEUUMQzS/e1jIj45dok0UouZzEN1BLSENkihPLA+vV0e 8QLL9kWkBXB79TT5bSIttx8vwlNzX0r5Jty3WlXs1+OQ6fzldP/3jxfMTryXfXs5nY7ftc1J 9f+UPdty47aSv6LK0zlVm0R3Sw95AC+SOOLNJCjL88JyPDozrkSW15ZrZ/brtxsASVwanmxV Uh51N0EQaDQajb7EbN+QRX+kvipj0s0kGkGYoao4fHWfFoXIiBIT91PDOQ2zlByj6Xi9JvEy 4Qm/W66Wx3bv+gOw5y+vl6cv5rFtZ1ViHVB5VBXC2ewOvRWK6r7dJ3aylp6a9rXDfBZ38L/S UTVJc8e5qPTY8gLT1KBiW2sOwwM+ZFWk0LNph+6CGOBAGOnJpjMeDbic5cY+E21z+sC1rdtN uWUYb0f7ahSe2FSRQr1PySLNDMQo9D0KGk3d7qFlUhqec+GuAqHdN0y44XZBXfXL07Ooe28J 3lAA68v7K5VMOkz3dSXuzxaaKRag8YHbUPGzxTL2BmWQRj3lwDAinXOZ0GMFH8qTDF2ss58Q ZLyh7/97Cu6J84XjuiSouccbhyVpQNZEToosa7TLZZkhAKXZ0+NIIEflw9fTVeRRqPuTrJJZ 58v1hOlRyEoPPBZBfVlb2Vdq8umX85uzddZA+K/6x9v1dB4Vz6Pw29PLv4dk6ZFJ3GdTry8h 2YMmP4KuUzF6oWOSZs94lYKtN1VMmUjiIw+Fh7x4V/z9innzpSnNzSAriUXS/k8YQHC2ELaf jgJ3Sfzo6e5pZjOyLvpA4JRp1VGrOWVnVxQVx+x5zOlwnS0W5plNITrnMpoBhSCl+E8PG8Eq dTIgQVuJPawNA5N0v0k2AmmClRtGHHVtGVj5z01NPmO+NlQZQOu2xMWnSKY6SX3nREApcEd+ 9uiEijrI2MQorpyFoHEJb5GUhiqtQWE0f0iJnUVWV3iHYMek9uBwv+7w/Zztj+Gn/WQ8IRNJ Z+xmruvvCmB2DoHLpWEDAdBqTvpHAWa9WEzsFLoSajWxtq6IBpxIluPJfHuEYyW5Xmq+X80m elEjAARMaL7/X919uqbCbQGxXmvXCqpitFWdUibAh1XEPNHxsuKTpwQnyoyZfm+OhfLmZpXC LM7bzxP5ZvINOWtufH5omOI6CserCfV2geyqXxmPyKzYdJ8Pm+VkrIZBjvT55W+Q9fqm/u10 Fk6xta3ZM54yWJu7wQV4GCh260nWfPi8WvdVinZPX7q7FTzPhZfzWWQocReXlAemb6OFHla8 tsSyejhmDNp+XZfde+13qnVpPkTj1Eoxcw1hijHBrPR5bjE271wws/CKMtwBYj7XrGfwe7Ge Vm3A6tiCzvS8XsvpbGayHDsu6LTggFiZJcCAY+c3nst2ySoRczUJnLov7+fzDyf1GA6YDKaL D9s4t0ZSRN5KvB8DT8Y5r82dwSDodyyVhuD03++n58cf/fn3f/HAFkW1nu9JaqpCz3q4Xl5/ j54wP9Sf7ypDjrx3//bwdvo1BcLTl1F6ubyM/gUtYJ6p7g1v2hv+ySG73022EyPCVPxWrDbc UQzcvb2vCthY6O0bOVISkBuMQOn7S4fm25m02MiVeHr4+/pNW+Md9PU6qh6up1F2eX66Xixx u4nn9HU36kbjidb8+/npy9P1hzYYQyvZdObLMbTjE9oKvYtCaN4TSweKPFnPL7kZ6/46+Hva dzEBXriiY+r59PD2/ipT973DRxudDbJEzRXxgn121LPWJfmhzcpmOcY87IaepSMGqWQbUIYR wmJtLKXOeCz6BGwyM03eLAUZMKZsoayM6vVMN9QJyNpgx93kZmH91lWkMJtNJ6uJCTBlDkBm U0pvAcRyqZf63ZZTVsIssPF4Y2wgaBOakPmndZUrtcOGJBwOPIZx/lPNJtOJJy9nWY0XH9Z/ dMPlU14tyPRFwPdzlS2wJy5KDiPuqU7KsPyyjR60oNlMd5biYT2bT+YWQPd466s7ogFN10UA MF/MDC5p6sVkRdZIPIR5auY8PMRZuhzf9Isle/j6fLpKbdoVcGwPZxdtobH9eL024talPp2x bU4CbVkIsBldhlCbdHww5kUWY0SVroZnWThbTOfGpCjpKF4mJOMH84+VOLEcjjPKCqGv4eT5 8e+nZ2dgKKme5GGa5H1/aVE2kMtzTh8h7uzCP7VNihrklbJkSF3Js6Ogg0hVNSXXdCqjGY5B h2lRlFRD5hgLNyqCytgsXy5XkLZPzukswjtBs3gHaCiLGbVaeJmOZWVUuXtjYtX3V3L7Bd3f 2H7xt/dYZ8c3l1aHynQyWfjrbJQpcK7nQFQvlmRyIETMtEtHxaxWT3SovWD4Yk6W/92V0/HS 3HCe0VxuXQSUr5fvT2fPfp0mEaswRi9uD2TN8eN6Mez8/HR+QSWLnIosPa7HS0OiZaWViZED C5HiUSCmhqk153SCrEMWt76Qu/KOCt1Mqttwl2j1PBimGcTM2uzY5tUfk56wxLwT0sI6aAkF Wo+5uISlS2yjWRqeLUJuBu7DZMb84wzlG7MeFvxsN2wfg3ygiXH1HRJRqtV4CIuyxv5E40jS 5f7s1tTuflS///km7IPDLHaVMQE9jBf8aMsja6erPGt3dWKwp4Fs6oDMoRNm7R6r5CBetK03 ICqMMupKJBNmKk1gBLY3kfyW0ys61Yq7rbPUbd0Q1YoZ05qB/GUZVoX7RB/Qd00exVVQpNx5 33AJ0jGUvOcwLNnq6iNIsBlgD0rJzIGZtWwINTd/2OcpBNVFU6mKOoWZJFLD7mJW8SAmfRek xyA36lN2MI/7Xo/eci2IvofWJDSrGwJacsPJqofTjpV4pWKmPNXs5h1vl0buNfjVZttKOJlK XJeS8en1LG48XLtypMXWw4+20OP8+wSNMFUZKw2nxzhN2ypoiCGLwghO98MARFmip3eEn33Y jA4KGdqTQVrlcZsXeRtvEhAIfcIcTaUO66RNgg2H/pGJWTZ3bbjZurE5OrxLMUneNxVbOJVr GXzlbcbl8vXv0wdjqZ6DsRo4VA0/XocKaaMrBSF8bNzeYXIFGdWnzcSRT1vduKwA7ZFxXjl0 WNQVU4aGqYuq47ABCXlvYGaycd32PjPa8V0YzPQmaav/3G177m3boiE7O2/jPKzuSzOhUPeI gTNf6vNf/BRExjEPf3uJ4RVZIKZqmI0qTmDrA4w+RT0QSPX7vh4uHPWTfFMQOG1qtT10QH40 eDqdNoDD5wkUOaNFuKmnPmTAK/+TeZK6j3ZDNu2GZlh6CML4Z1976hk5Cr42xci21qJGhDCb +sqhy6aFDyrseHHoSWyzwaBrzc/et6zwhnNTu5A2wHve1kyFmoBAQLDljJvBFonh2/cGBd0p ivk3tZsNN5Igcg8TGFGUzhg65n3ktoHzmU4rAOhXjXHM8mS18Q14WQFePQESNLc+zWrTt/Bu NxlvD8ZRX4IoLUs0FXJDOcRCHZt67uHRBvM3GTwaAoheJYe4Stm91ZBygnr8ZqQ3rqWo+GEB BO+bfKsQu6TmxdZ3udxR+b1aOooiQNaG8wztA400yGvmF/dQv6/3QNL3tNsRw+hX0Ll/jw6R 2OKGHU7bq4v1cjmmp6CJNq2+kPB3nvZFeaKi/n3D+O85t1rvuZcb8jer4QlrSg8bR+JoT3ee 6RizXmKxx/nspldPuSPDBMg3TgJZ3fXBbm+n9y+X0X+ojot9QP9wAdibcSYChgVieWoBsaeY +CkxClsKFChPaVTFmqDYx1Wuv8pSvOCYakpTAfiJGiBpfIJ612xBSAT6WxRI9Fz3l8c/ziiL GADBcPc1jzNq7kAKgda016mGZvPU/NHN8h+/PL1dVqvF+tfJLzq6m/wWJl8fCQN3M6NunkwS 3VJoYFa6FdrCTM2+ahh/azc+jHlFbuFow61FRJuWLSL6ytwioqNpLCLKLG6RLL0fu/Zg1jPf M2u9Krz1zNQ79+s57S5odueGuj5CEhCByHXtyvPqyXThnzZA+ueN1WFC+x3p76VMTjp+ag5W B56Z3e3Acxq8oBtZ0uAbupE1DTbLnxkYP5P1JD4W2xfJqq3M/glYY/YCA/tgk9Pzd3XgME65 aQ8aMKAfNRXlU9+TVAXjmBbs7GDuqyRN9YzHHWbLYhpexXryug6cQAfRh9PpeJI3ZuEC40N9 5QA6It5U+6SmkpIiRcM3q24T3J9en09/j749PP719Px12ACFqo6myU3KtrXtNfjy+vR8/UsE pX85n96+amGOun65F76Kmu8qHKBxyaR4CD/EaS/357o9s+Dd01FMh0F2pQeNPCDh5fwCW/mv WIRyBBrf41+yiNujhL9SoZiiAXHeow68OQtA8UftGAgx5yzjsWFEUxRZU3N57qGUGEy9Kxr5 YzKeah9a8yopQUBksOFnnkwoMYvEG4CKJGhy0IexSH0WFKnH5owDXtzlpH1Xfr+hB8Ar0Q3O OiBLwloezHD/zxgXZfS6j7EwctSKPNXMBCJ13h2DY4cck7IQRxT9KKbDTUuW6GeBxsO7mO2F l15YUpYtkaoTdSgR0eoCe41STt4f4+8T8yNRHRvK4WSn8+X1xyg6/fn+9auxQsTAxkeOSVNN w4ZsB/EsTQv6skY8DV+KxXI8R6+hGWAEOshXkshjBXmtmDZBR6RJRwHuTjvdxLND3I1AFmcp jLL7TR3mg85As3DCbmpfjQRJdaD5WSFlCLqXX5WrfpKbElKNl+QMmPKSTEE5fKboKZ4bN2lx 5zZkoH0tCZ7GUenWi93Izoq9lscm5KYRuvu8v0ghtXt4/mrefBXhvilVQu+CvvRU2b53WD2J s5qelbtbWHOwIqOC5rKSYbUmWLpFQQ6YgW8PLG1gzZhIFPJFwwdwDaMRudVqJdiWtiZacKUf rdgrziNX4FpDj73ax3HpW16dG731PnlbiS5b/Zof/etNRSG8/dfo/H49fT/BP07Xx99+++3f 7nZScdgReHz0VMhRjAH9wjn+gOTnjdzdSSJY0MVdyTidZ1rSCsPXB/KoAlanjFwGR4rh8q7L LqVdCqPuLgXVdstKjOdONxgJTn+ceBMwPWgxsS9gXPCBUFIIKSUForef8P8Br85q4lnbNmNL l+RnFPVHwlzY8hJfqKWkCasYy64klhOWDKQIG2MrsqYP0cRQlayqBZLaWn3jPCgh+BxIwY8p fjJdSIJSGaYtTXuBMZ1YjXjtw4iNbwnTjr0ibpWWUDn6gUUpLcGwf6O3C/1d2OFdwctU7gY8 7i7Lad1bzW0bV5VwuSHM2JpZ12vqHpYBvDEP760c8J3mV0vhpRaBmzMyFx4zgKqsPX7T5FJX +xi7rVi5+0c0m7LLdGfssUpH33SL1I9s7xK+s/IfyRdJdBYWDWiNoIBj5nOTBM1vgqWQUrC3 3UioHpStaHY18WkyQM/sonxraIaEVSi77IgV4TAs6OXlQcc4wCbIWbI0qjOIWlNCIt8BISvN 9xvtdV4PdkOK0J18e9DdOR/Mv9VtXWw2CkOJD7Hvug+qyVETQKkOaoTrHFQxWEfO0HeIXmcz hyGoWA6jB6JNXMDkRW7I6w7O8hz91DAGSDzg2TF7cmCWDwmlhuEOx3BCTfciAyR1odWtTnhb EEv20D6o3Dgu5hqhmdTJWCG0DOkmVX0a3dtumjgDAV36hTgmHvB9TsdnmT49eNXQ58G15lYs xDYA8bXLWEWvIgM9CHqN4Kd9lp8W502GXfPnVOr6L4fZCV2TW+v7s7Ac8NPb1dpc033E6fMK 9kwoBG1tFa8cuGUQ0aD0fLCJBryKP9iGxcYN6nf7MRksJVxJXrzU0ZbzXgUjplsmuqpYEi2l ZB9c5vB7d/ExajKjzJOAo0Ej335Y2FHQ7YGQkxGqAi1sP0aFDgEOEp6RTlgC2zR6dn8Bqnas 3nFxxrfb2lmp5A01KoliURpgMlvPRYYzPGcS7w2aJIVDThHWlZlqDNOklf7MTJJn9pnVXbGh Y0VRZ1xBbPia6f1frLaE4cy4zI4zz2SrqWMchM0+vjfueWpMuEHGe2uH321klArA3xRPdXUT mqBmObQMg4pZpkAc608L7EePg+DFlGVJLXfOWNMHkP9CrigGsHBdJTEY264OAsLs2GjSLWZV eq/skIbJT4O3UUDWUBcx8xzXSJeYrn98QH2gmlZFxDjzqdJK0dW8IDrjHMcg7EaU9sqNNL/q 8HH0Nlk0sEykKdZ5DC8K04Y0JquIcl4ZjlGCN/rtxFVOMFAL+bPl92Xcjo+r8WA5sHEwvxMa p3h8SmOFsjDTpGeHxdfR8nWgiGkH+Z6i8dmlewqlq/TjqNR9vYt679SJRFi+WcU81uCwJBwx BgeIEk5VuKKSPE1+YlOEXbCiC4soTsmSj/YHZGJlkS0bQyVrYFWLLcbjMFmfHt9f0dfbuS8Q omfQimADgV0VlWtA4LZi+jyrB0ijvfDEiaOuxUEwxfdttMPSt7Julkf7U85ZmBmxFj7SQnZ8 SEspzQq1sdeF8HLOoXuNyKFY3kubDDMcBQbp6pDrX+QgSWkheW/4Lr2UgI3945f+3v0IZ1hx RtbcN6RiYEZtSxhaQMt7G3rUi/VIUHlrQ6SegWe0gxbnhZNY9Fc7rz9erpfR4+X1NLq8jr6d /n7RQz8lMQzklunZSQ3w1IXHLCKBLilo/GFS7vSjl41xH0IlgwS6pJVxeOxhJGF/Z+Z03dsT 5uv9vixd6r1ebq17b80cumjnkMVh5H5yxnK2JV6u4MalvkIhP1N+TsaDbZTU4nJMGBKd5reb yXSVNamDyJuUBlI9KcVff1/Qx+W2iZvYaVH8cRks88BZw3cguxy4qX93xHgElXq2+91p0xVL RUHdLSH2fv2GcU+PD9fTl1H8/IhLCh3W/+fp+m3E3t4uj08CFT1cH5ylFYYZMTjbkArm6B7Z MfhvOi6L9H4yGy+cjtbxbXIgWo3hMdjADs7mEYhA6vPli+7M170tcIcu5O7ohASnxGHgwFLh JmbzAvGSI9Eg7DSiiNOPLpfR2zdftzMWOrO7yxjxHny5TXmQlF18G5xc3TdU4WxKjI0Ay/gG p1mBNHwQNTgmJ6XLXgxUfDKOko3LmqRI9DJIFs2drmXRgmAZONHuWJziX3+/qiwCieCKVAAv xxR4uli6gjCLZlOXut6xiUMLQGyCoMW0nAR4Row531aTNZkxUgmgUjYm98mnl29mHqxuV3OZ FGDtYuV2D+F5ojjDQeZNkBBtVeHcAYLycGdWYbcQTpKNjoFYFqdp4u44IUM/C99DNV9QPAtw Mn2p2sTMVOoKuvmJ1N/v2GcWuRPO0ppR3CHhYridfisxSfQC6z/6+wBbZGlYF014W9fxlJxg Hrsjy+8KcqoUfBh0hz0VAbzIkdfokIORsU96zpN+3Dd4veHK3c+FA1vN3dWSfnZlA8B2Q5LF h+cvl/Mofz//eXrtsm9QPWF5ncDRqtKriHadrAKRRqdxXi8wOyvHvIFj5IFZJ6G2J0Q4wE8J lprGM5ul/2vakrA4ec1aNmGtFMJ/RFx5jpI2HarO/k/GvlmBNR3G3WnRul6ySFzAOJMy4IRc +wgPMpXgWaTYxkVE24o1ol2yydubtae4mEYYhrQ5RyO5RV/23Wq9+B7SF/AWbTjzVU2zCZee 8mmelx9oTyLq9f+QFDpwoCyUcLzLshiPz+LsLYwePwhk2QSpoqmbwCQ7LsbrNowrvFpF97tW 3GXrPvX7sL7pHQt7rBRAmGXlP0LlfRPVAt+evj7L8HDhH2i4c0kn9ZZjqVxpPaiMOzgXX+Np eTAGSHx85BXTe+yzHBR5xKp7+30+U+v+YCjgykMq+eyrAB4kObbe29JVDP6frw+vP0avl/fr 07NRK02cwfWzeZDwKsZUz4b5cjBMDHjqtl90i2n6Q3eDWfMqD8v7dlMVWRfrRJCkce7B5jFv G57oAQQdCiNN0SIuLwtcPGa6TgrjDqtDecEaw3YW6A1qISLfdpkm5gEsBEkAwtoATZYmhasb w3t405pPzazDKCreH1jkFAEsozi4XxGPSgzti61IWHXnY1dJEZDXIIDTgh3SJFAnDk0uh0Y5 NMxny+VwglpRggQhKoX0jJRHRaZ9+zBIoBWI503bM0KxwKUN/wwdw+3HVDoE1FFFQAchWkYo 1TJoHQP1WYPuQhqut9LDj58RbP9WB3gTJvIRlKEDT7DEjg1kVUbB+K7JAgeBjkJuu0H4ybjB kFDv5UT3be32s57TQkOkn/USPt1aI8ygQahppIHgl7zuTOT6VlIXYQIiR8imimkux7heYW3r lz4ShDcS1nU2Xi7pHZOBrHWyzRl6NmmIsoFzoP5sdKuLurQIzF8E9+apGSTeS5f+flZM6UaE eeGXaa9PP7ec6SaLoorMGIco8mTJqW7xuE0d3rMyMSp3Ym6IKt4mII218dwUeLJQFzpnHWrG TSLZ6jtVL0yhdKkoQMvvk4nTxM13soyGwJV4E4cvcZ5iMCC5/XqTJEvgiDv/Th0Mu96Mna/O iW4DdDL9Pv2/GWE4wtCgwhC7A4JBK/J8sJalwaDTRvx9sCSLYFB6dPT0wyIFmmmLB8/QASUB Gd1wTCdzAQA= --2fHTh5uZTiUOsy+g--