Received: by 2002:a25:8b91:0:0:0:0:0 with SMTP id j17csp7599466ybl; Thu, 16 Jan 2020 02:23:22 -0800 (PST) X-Google-Smtp-Source: APXvYqwthIoEJ296sk6aUzTo8G+mezc5vT27dkOdAAxp4SrtdtG6VqMrdLYSUuHccqt5YFbJixZo X-Received: by 2002:a54:4117:: with SMTP id l23mr3424402oic.140.1579170202197; Thu, 16 Jan 2020 02:23:22 -0800 (PST) ARC-Seal: i=1; a=rsa-sha256; t=1579170202; cv=none; d=google.com; s=arc-20160816; b=FMAuT1pUM10c65d8c2vZ/7DSQrh4YqDkSZv9ZUm1IfSYemLwkYNxwoIGRjkIbp/m+R 2vmWpJpj0X/TJxnjM/w/jP3Q+NCTozjhM3CdS8QhXqUfina3wLFJy6voWKBpHFAzoUd/ cCOzVkc/ZTzBq1XN3Nkn5JXEcGLbeeaX6z5Juh7e2qFyDpOHL3mYH5DsktJeZ8HxUQix ngTEjqVdcw1UccUEzx7LzT60RGQnzVjWPLZ2YAdzEfs/ZDiIys30R2PhECLh8Lb5uJHN QNg+J7YnpBaWbMOeBEPXatjG5YX45D7jjlTETEc0fQusduu+NL8Efe4T96bAcoAK3Nid 0Udw== 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; bh=hp9Vs/zvl82klZ1EMfwAOySYbdZPZKwXzkeLCDaRkQs=; b=J91JHXJ2VO8eCqjhL4qSoHheIr+u0NFEeRntx0GDfl8AGHjuTA8G8uZbxCWbLFY2RM dHRviaR8As1ZvoY5fi36n7N3VczMAup+M0OzkThLSQLsDvoQhkeY4mNivsuviuWxV9bY 4S7BJkBuec+DKo5zK1cpdAOdyPWvOKon9ib1dNmD/opHAVSpyHZDRh41A6euLvBBTnfC mQkhMjg2sS19NJj6uN1Gxq+gZ4It9FGzkYjxr85GLW5rVny+bVk9F/p4ZVg+TuuI71k/ b0eireFNj3MoqALuWSpNFx7mZKaRvV7dpQWK5uC+j7/xLmXO4bCarp3qUS/E0B6o1CNq ixvg== 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 c126si11358629oib.239.2020.01.16.02.23.08; Thu, 16 Jan 2020 02:23:22 -0800 (PST) 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 S1731272AbgAPJmp (ORCPT + 99 others); Thu, 16 Jan 2020 04:42:45 -0500 Received: from mga14.intel.com ([192.55.52.115]:3718 "EHLO mga14.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726329AbgAPJmo (ORCPT ); Thu, 16 Jan 2020 04:42:44 -0500 X-Amp-Result: UNSCANNABLE X-Amp-File-Uploaded: False Received: from fmsmga007.fm.intel.com ([10.253.24.52]) by fmsmga103.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 16 Jan 2020 01:42:43 -0800 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.70,325,1574150400"; d="gz'50?scan'50,208,50";a="219619714" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga007.fm.intel.com with ESMTP; 16 Jan 2020 01:42:40 -0800 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1is1fk-00059Q-6W; Thu, 16 Jan 2020 17:42:40 +0800 Date: Thu, 16 Jan 2020 17:41:49 +0800 From: kbuild test robot To: Krzysztof Piecuch Cc: kbuild-all@lists.01.org, "linux-kernel@vger.kernel.org" , "juri.lelli@redhat.com" , "malat@debian.org" , "piecuch@protonmail.com" , Peter Zijlstra , "mzhivich@akamai.com" , "viresh.kumar@linaro.org" , "drake@endlessm.com" , "rafael.j.wysocki@intel.com" , "x86@kernel.org" , "hpa@zytor.com" , "bp@alien8.de" , "mingo@redhat.com" , "tglx@linutronix.de" Subject: Re: [PATCH] x86/tsc: Add tsc_guess flag disabling CPUID.16h use for tsc calibration Message-ID: <202001161719.h48sPoGH%lkp@intel.com> References: <03j72W25Dne_HDSwI8Y7xiXPzvEBX5Ezw_xw8ed8DC83bpdMxoPcjhbinNcDD0yeoX9GGN691f3kqqtGLztTnW8Pay3FrbO5sTlj3vjnh-Y=@protonmail.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ytklc46uneqlwxdy" Content-Disposition: inline In-Reply-To: <03j72W25Dne_HDSwI8Y7xiXPzvEBX5Ezw_xw8ed8DC83bpdMxoPcjhbinNcDD0yeoX9GGN691f3kqqtGLztTnW8Pay3FrbO5sTlj3vjnh-Y=@protonmail.com> User-Agent: NeoMutt/20170113 (1.7.2) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --ytklc46uneqlwxdy Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Krzysztof, Thank you for the patch! Yet something to improve: [auto build test ERROR on tip/auto-latest] [also build test ERROR on linux/master tip/x86/core linus/master v5.5-rc6 next-20200110] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system. BTW, we also suggest to use '--base' option to specify the base tree in git format-patch, please see https://stackoverflow.com/a/37406982] url: https://github.com/0day-ci/linux/commits/Krzysztof-Piecuch/x86-tsc-Add-tsc_guess-flag-disabling-CPUID-16h-use-for-tsc-calibration/20200115-111400 base: https://git.kernel.org/pub/scm/linux/kernel/git/tip/tip.git 425cc0b850aaaa121b4ddf32c029a72e7a260dfb config: i386-randconfig-a003-20200115 (attached as .config) compiler: gcc-4.9 (Debian 4.9.2-10+deb8u1) 4.9.2 reproduce: # save the attached .config to linux build tree make ARCH=i386 If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): arch/x86/kernel/tsc.c:62:26: error: expected '=', ',', ';', 'asm' or '__attribute__' before 'tsc_guess' static bool _read_mostly tsc_guess = 1; ^ arch/x86/kernel/tsc.c: In function 'tsc_guess_setup': >> arch/x86/kernel/tsc.c:65:25: error: 'tsc_guess' undeclared (first use in this function) return strtobool(buf, &tsc_guess); ^ arch/x86/kernel/tsc.c:65:25: note: each undeclared identifier is reported only once for each function it appears in arch/x86/kernel/tsc.c: In function 'native_calibrate_tsc': arch/x86/kernel/tsc.c:664:26: error: 'tsc_guess' undeclared (first use in this function) if (crystal_khz == 0 && tsc_guess && ^ arch/x86/kernel/tsc.c: In function 'cpu_khz_from_cpuid': arch/x86/kernel/tsc.c:703:43: error: 'tsc_guess' undeclared (first use in this function) if (boot_cpu_data.cpuid_level < 0x16 || !tsc_guess) ^ arch/x86/kernel/tsc.c: In function 'tsc_guess_setup': arch/x86/kernel/tsc.c:66:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ vim +/tsc_guess +65 arch/x86/kernel/tsc.c 61 62 static bool _read_mostly tsc_guess = 1; 63 static int __init tsc_guess_setup(char *buf) 64 { > 65 return strtobool(buf, &tsc_guess); 66 } 67 early_param("tsc_guess", tsc_guess_setup); 68 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org Intel Corporation --ytklc46uneqlwxdy Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICC8aIF4AAy5jb25maWcAlFxbc9w2sn7Pr5hyXpJK2dHNWu85pQcQBDnIkAQNgDMavbBk eexVrS15R9Im/venGyCGAAmMc7a2HBHduDe6v2405ueffl6Ql+fHr7fP93e3X758X3zePez2 t8+7j4tP9192/7vIxaIResFyrt8Ac3X/8PLX7/fn7y4Xb9+8fXPyen/3drHa7R92Xxb08eHT /ecXqH3/+PDTzz/B/3+Gwq/foKH9/yw+3929vnjzz8Uv+e7D/e3DAv5+c/b69OS3j7sP715O f7UFUImKpuBlT2nPVV9SevXdFcFHv2ZScdFcXZz88+TswFuRpjyQTrwmKGn6ijersREoXBLV E1X3pdBiRtgQ2fQ12Was7xrecM1JxW9YPjJy+b7fCOm1mXW8yjWvWa9JVrFeCalHql5KRvKe N4WAf4BFYVWzPKVZ7i+Lp93zy7dx7thtz5p1T2QJw6+5vjofJyvqlkMnminsBNbYlnek5f0S emLS0Bb3T4uHx2ds21WtBCWVW6ZXr4Lh94pU2itckjXrV0w2rOrLG96O8/EpGVDO4qTqpiZx yvVNqoZIES5GQjimw/T9AflTnzLgsI7Rr2+O1xbHyReRZc9ZQbpK90uhdENqdvXql4fHh92v h7VWG+Ktr9qqNW/prAD/S3XlT7oVil/39fuOdSzSMZVCqb5mtZDbnmhN6HJstVOs4pnfGung mEeaMVtBJF1aDhwGqSonw3AcFk8vH56+Pz3vvo4yXLKGSU7NaWmlyJh3jj2SWopNnMKKglHN seuigBOpVnO+ljU5b8yRjDdS81ISjeIeJdOlL9hYkoua8CYsU7yOMfVLziQuyzbRN9ESdgeW Co6dFjLOJZlicm3G2NciZ2FPhZCU5YMKgZl6QtESqdgw88MW+i3nLOvKQoXyunv4uHj8NNm0 UY8KulKigz5BD2q6zIXXo5EAnyUnmhwhoxbz1KtHWYNKhcqsr4jSPd3SKiIdRp+uR2GbkE17 bM0arY4S+0wKklOi9HG2GjaU5H90Ub5aqL5rcchO6vX9193+KSb4mtNVLxoGku01tbwBYZVc 5Jz6+9UIpPC8ih1fQ/Sa4OUSxcWsjFSmmWE7Z6PxVIRkrG41NNawqOpyDGtRdY0mchsZycAz jsVVogLqzIrtebMAoO1+17dP/148wxAXtzDcp+fb56fF7d3d48vD8/3D58nKQYWeUNNuIO8o 0UYkYkSjoRRdwlEh63J6KDKVowqiDJQh1NbRZUCzrDTRKjZ9xQOtq/hBp+dcocnPo6fsb0x+ bBUnzpWojCrwmzPrKGm3UHNhc/sAZH+E8NmzaxC4mDpXltnNG1qYFuFS9EERNgirU1UIP2pf nSKlYbDwipU0q/gASoYVCId92MuV/cPb3dVhQoL6xRbQeEe8EghYCjAcvNBXZyd+OS5hTa49 +unZuFK80StAOQWbtHF6HohR16gBxRl5MjrCSbO6+9fu4wvg2cWn3e3zy373ZIqHyUaogXLc kEb3GepVaLdratL2usr6ouqUZ5cHHAqjPT175xWXUnSt8ncZDDsto8KcVauhQpRsSXaCxxha nqtjdJknsNRAL0C2bpiMs7QAQPTR5nO25jSutAYOaCR5oN0cmCxi0MhSs7bwV/TQMVjO2MkR dHXgscZv1OQA7MAmg5KJ9bZkdNUK2FNU4IAFmF91UFydFuktAztYKBgYHHgAE4ltk6wiMfWN 4gCLaSyy9D0Z/CY1NGwNswf/ZT5B/VAwAftQEmJ8KPChvaGLyfdFIOgCbEUN3hXiHLNTQtak ocHqTNkU/BHbGweOg7PM89PLAEgDD2hGyoyRAuVHKJvUaalqVzAaUMQ4HM/LM7IyfFjt6qHp sKcabAMHAZfBPpdMI47tB1BzZKMjHAO9WJIm9/GS9QEOmCBQd9Pvvqm577aWgVkLJx5XLAQw Z9HFR9Zpdj22bj5BhXhr1gofySleNqQqPHk0kzAFhw4NOivy2IYvQf958JMLvx4XfQdTjp1i kq85zGJYYm/NoL2MSMmZB9VXyLKt1bykD2DpodSsEB5EdF0C4elnWBYFxMAIfxGMqUALMA4H ajaAQidqA+D/+8j0oBbLcz9gYcUauuqneNkUwij6dW3clFAcTk8uZjhkCPa0u/2nx/3X24e7 3YL9d/cAoIaAEaQIawCJegAl1q3Rr/HOB1P6N7sZR7uubS8WkcJRiNsEUbcEbLBcxc9eRbIE octiIliJwIHG+rBtsmQOH8ZbW3ZFAQCjJcB4cA+jsFsUvAqQrtFYxpIEDkAYSHLM1+8u+3NP Yxtvss+3YKvAqykm2g+4fdOgtOyo0ZI5o+CYeodCdLrtdG+0tb56tfvy6fzsNUYFXwVCDGsw 4LxXt/u7f/3+17vL3+9MlPDJxBD7j7tP9vtQD8EWGLledW0bBNEAk9GVGfCcVtfd5PjUiK1k AyaLW9fu6t0xOrm+Or2MMziJ+UE7AVvQ3MEjV6TPfWvpCFYLB62SrTNFfZHTeRXQIjyT6EDn aPEjugORMCqh6xiNAN7AqCgztjTCAUIHR6hvSxBAPdEjANosqrKemmTelIwf4EhGD0FTEl38 ZefHYAM+cwqibHY8PGOysfERMHWKZ9V0yKpTGAhKkQ3sNktHqn7ZgRGuslkLRqSU00wwJKeS gqPUq7qdlVXkZtuXKtVkZ6JfHrkAc82IrLYUQz6+DWtL63lUoMrAMI0hX+sSKIJbhgcB94VR G1MyarndP97tnp4e94vn79+sqxl4KENDNwJamIB2d8CmMysY0Z1kFtj6Wg6JdWvCT1H1Vooq L7haJiCqBhTAmxiEw4YzXtqRBN2xaw0bjEJzDJwgJyhGjMO2Km4AkIXUYzvHfAwuVNHXGU+M 9LDBQ3y1ILzqJJuJB5c8WD6L9kXNQYEC+IZTjtqcxfT/cguHBMAKoN6yY35kClafrLkMLgBc 2dx9mbOoljcmIJeY3HKNSqbKQNb6tZM0B3XA1k6GY2N/bYeBLBDVSodIr10v/YFiA/agFdFo ixtkMtxz4HDO+egSX7y7VNfRuSMpTnh7hKAVTdLqOtHTZapBUFPgFtSc/4AckzlHrYP5DoUX 8QZXiXGs/pEofxcvp7JTIn5KalYUcILCkNVI3fAGg+w0MZCBfB73Z2uwYIl2SwaQpLw+PULt q8T20K3k1zy1CWtO6Hkfv0MyxMTaITxP1AJ4VycO2mDSQ61h9EGDU7C22sapLn2W6jRNszoQ nQsq2m3YNOLtFsyHDUmorg7JIO5hAa3ba7osLy+mxWIdlgA44nVXG5NeAL6stuGgzIEH77tW nioZorLo1bMK1Ezg90NDoGPtbFIhJMNh9hNU7VEm0PpH6cttmZDhQzdw1EgX09OOA/Bpo2qm SYC6HbWrabT8ZknEtX/ntGyZVX5B9CCvY1qhMSBK9dAzwKiMldDQWZwIFvTq8mJKGxwV74J5 oHgl1mSpWs/tWE0Tgm3umnvSzmRbuMLAKEsmwauwEZ5MihVr+kwIjaH8lI2qJ84LFmBkt2Il odsZYjE3UilRMrigoRw9yJqmwIlt4w8rqBZ3eQ7q18eH++fHvb3SOHhmCY5gqcyAwYX1HbDh KwQ3oq3wH5YAQFqANsjiIVn+Lu7z2sXHtQZc2rVp2AQHN0kzpj9KbQReWwFEisEbS7kIolBD 4eVFHMGsa9VWAJ3Of0TGoOFRlrPjLZzNWpgwnAaABM6XKApwjq5O/ro4sf+bzHO6m7QliOY1 V5rTmJAbVFUAUoXKcHpJxPMxKDxNNkrVAVS8XfZAGa9Q7ioHP/FStmNXJ+FOtDpu9c340YIA YBcKQ1Oya6cXV4GE4S033rxsUAeNplHLuFSZ8YPeypOWU9V+0gQrgis6+IS1jQdtGEVvPZC5 m/705CQ6DiCdvU2SzsNaQXMnnkK/uTr15MFqzqXE+04PVrNr5ulKKola9nnnu2Xtcqs4qlUQ G4mSdjoImn8DgNEklIUYsnb1ScXLBuqfhXIqdFt1xjB5gUvQDIi3a598EhgmA+V96rHY2zpX 8RQaWucmJgEdxnU0yC8vtn2V63gA3SncI65wcDrskXGnYxj/QbE//rnbL0Bt337efd09PJt2 CG354vEbJrgFbvUQgIhLyRi/iO2I7/0PXlHg09UYrsYrkTx5K5UD0zxbwy81YALM69XpeF8K ZFqtgt5deMmmt3gRi8170BIb0BEG6xsj6WBDIuiBK+XRZl/O5hlJVaAWxKprJ43VoH/0kHyE VVo/FGZKQAw06D47NlSl0NQsOmg4zdqVIaAKCAYux3Sw6ael0g51Vh8RbKHsEOKKDLkkW/di zaTkOTuEqVK9MepSdyaTIHTWfUY06O5tuues0zoqeYa6hvGIq69BWUGaSUkufD11mLYF7tSs e3RdDEOqa97WfNIP7RQ4Sn2u4IQXvPKvIw+hScNoo2RdW0riJ0z9kDY7XnaolGMkP2br7bAE 4H7QTHLSmtN4XIQo14pMpiazW/pXMv58wWFYiny+taWMA5hBovIOlcKSyHxDJKCPpopd/Y7H h7TMO4RheXgvGGEfOcslm8kllqeiYCMHA+gcLcfQr92aw4rlrS7soYIyTxtyvAyW4OWkZdr+ XXjLj2gB1JvzqJzSNojBJSktiv3uPy+7h7vvi6e72y8OxHuuWiHD6zY/yydS+9Aw//hl56U1 Y5ZPHioSV9aXYt1XJM/TKRMjX82aLuGKHng0E8l+XJQubrQGoovpJedtJ3cwvT80mmZVspcn V7D4BU7fYvd89+ZXf73xSJYCoWU8jGnIdW0/j7DkXDIaO9iWTBovOoJF2GNYYlsIy1zH4W0p SF6TnZ3A8r7veHjB6BC3IqCPvQ6GOyF0iINCT0gpYrRRlO33Ug7C7J0NUbXxSCVgvevIYBqm 3749OQ09aEw+yPx7xcRW2W28f7jdf1+wry9fbh0kCrGeiXaMbc34Q2UEuhDvyYTF9aaL4n7/ 9c/b/W6R7+//a++VPQ+hhuWojanRgiZAo+Vq41zOWcjzcYXhAz05/7pG1kbDgoYLXI5i09Ni SNjwd8Ivd6g2nkxB64t/XF/3zRrgddyhZ4CHm2swh5vIuEshyoodBujdE1oCRiRNEEWHvuFA xvQx0ShxlHRoxBf2gWvdBpDXbA44Xotf2F/Pu4en+w9fduMOcryx/3R7t/t1oV6+fXvcP4/i gt7aGjxZbxeghKnwfsNx9a3JoIptJHBIvCyoYQoT7xAs02q+h0jAjEFHHO93/bY2krStS7n1 6LgulTAvLhAkyIQMIislrerwas+w/5DNqBD4l8C/NHGVhvyJhx5m8JSfeaB1OIT/n/1xrXVm ZK1vPA9FYdaA2bbhatOdYb37vL9dfHL9fDQn2Y+QJRgceaYDAq2xWgdxFbwV6vDBTjyL1qVJ YDrC/fPuDr3C1x9336ArNFeja+f0mHHCh8Qb6vnpkzIHBSchUmETOGKiagbv6GNDrgQB2TwE vLJXyVFp+KOrWwAPGYtpuNkdtOl+9Oa6xkQEMAuRImyfeGJ4aYCPhDRv+ix8rGIa4rAYmAkR SRdYRXte4TVwjCDaePnQDKDcWdqKoRddY3NVwMcCp8QGaYNnH4YtgLnjsxbT4hJ80AkRbTMe bF52oos8M1Cw5AZQ2fcZk1UzmRTgimLQYsivnDMo5uJzCaIFIKE680Zu35bZXJ1+s+SaDSnY fluYAaEOeT/apCCaGhO+87OMa7R+/XQb8blcLfLh7dh0dwCQg2fW5DY5YZChENVYPsXepzYO n7olKwaRClOy3PQZTN0m1U5oNb8GSR7JygxwwoT+PmYjdLLpGwGbFKT9TVPmIpKDnhdeP5t8 YZuNYWrEGon077Lf5LBoYaRv3OHxXB+nRnIO7ZrTbvCJMRt7JmT2UNi0+OGub7r2ttRe6CRo uegSeTf4bs2+VHLvDiOzGEKyQ96Rh34T5V5NXLsKNnpCnGXJOIU+ZNIEZPM2xtezITnpVZtJ cr0ErWj30ORzTDf6xw9XaoHyUE8zNp1qajDKj1oac5fwpiG2zkjDNnq1DKDg0EHu7gsYBUn3 ghVA6jAChyqeVSip1UxGlKWYYHyQMDYOM0iom5qZa1AqUQ0Z1noXipZot0696WriNIEXFWoJ WmFmE6arABLOPW6BL1t5OURoz2cE4szENE5tdSFuXOpmxgoS2AHtnn/KjZdvd4Q0rW43IVo9 RhqXvYXtOj9zUf9QMx8sN5iXmHlG3eXnzE6rDinIPWuo3LaHG8+SivXrD7dPu4+Lf9sk3W/7 x0/304gJsg1zP7Z+hs1hHpsbPea0Hunp4I4D6sKXmEJpSq9eff7tt/ABMz4ZtzwBePeKo6GN v4kTXVcS9gmz3f2zb/LAFWY2X51ODtv09A15uega+IMciF2DhNSNiLPIKTq2oCQd2PrUqwPH mYimDGQ8GpIlUusGHsyb3IAJVgof5h5exfS8NjcDMXDagJTCYdzWmahmi6PsC7XpDUFWBUFp fOGiqMK46PswNc29fclUEK/xiiseT/oeX81oVkqu41F2x4WplfFdMo+xhsstYwrj7h+ybbKY N2e7sPly0zngyomWVDNXp73dP9+jmC70929hFigMQnMLuoa7pVi6mcqFGllDH88vHqN/kx79 4dfvMUIW7gqUobvGRVhsrsTsy3IxPqnznDKox4W9Q83BOuC6ekIzElfbLHSfHCEr4oHcsL+D iiGTd86q8aJm+BsRNpW6BT3UNaFYTi7FbIRL1t6Ld6M3bGXYD7EJrhnkRoECThCN/k7QDrrf /DJAPqZ7jixpyrSy3MSrzspHs+aeq/QZK/A/iHOHx+02SvTX7u7l+RYDEPg7IwuTIfPs7XHG m6LWiDs8wauK0OsemBSVvA387oEASigeEsVmEG9HpSA1NjPwevf1cf99UY8h7lnM4GjShcvm qEnTkeCnHMZUDkuLHMmhcthab/IEbT3/RyQOzZkUEw/xWUTIaqNBh9oz57LAh/mlr3CH+Rxe KPtdYTpMq017JnPsYoKmaOL2OwPc4XvFNutXDEHyMeyhYjkg7gW2AZH29X4u8XdhLuOnL3VB NSsfb0E24D4qOF02nBCP0EbweVzmwEtpTMpmlFxIARBsQxIPdhPvbG9aEY1o32SdF9K+UcMD q0OJe2gAS9cG/ohjNVIzD3iY2J4L93iQPHevmTCSsgpatDnu0xxy8H5N+iM+uPe6wRe5gDeX NZGzdyCgV1rNrAtDAqCYPpSuhYb5T4lWmX1Q4EIZ5mQ3u+c/H/f/BnAZy/AAGV6xmG0G/e8h c/zCSwlfikxZzkkcWYFrE8tvKmSYLgbfswyFkGqSuAqSeMtgWFSX9fj4gsaRjOGxP5hyrJFo xtqY78fQ5Ul0kLfmCTWLwkBuN2m01q19RYs/3RFjb8fMGJM6KieVC56BOHLWp37VwXXQVsPv NqlJCzYj1fIQHQ/CH9gAYWdCxZxFYGkb/7SY7z5f0nbSIRabfKtUV8ggiYzTcel5y48RS4lP xuoucSGIXeiuaVhombYNqHGx4onIs6241tH0ZKB1udeqV16IblYwjiDcDCSTxA4gDZyMNJG3 aIUSIjcbminE8zop0rR1xWHzOL/k+TYckmx+wIFU2Blw+kX87GDv8Gd5DLIfeGiX+RbfWUpH v3p19/Lh/u5V2Hqdv524fwe5W1+Ggrq+HI4cBiCKhLACk323j8qizxMuLM7+8tjWXh7d28vI 5oZjqHl7mdj6y4iwmzpxWTYkxfWMHcr6SxnbEUNucsChBmjpbev/vhMSZ9KHhf/H2ZMsN44r +Ss+TXQfOkakNurQBwiEJJS4maAoqi6M6rLjtSOqyh22e16/vx8kQIoAmSnVzKEqLGRiIZZE 7vBORl+Co96kYDC20xbkZ/zk2hbMUpLfK/arNjkTE2Wg+rbGggAGhFGSDT3zkD4PtLtwz1M0 xeAUh4vRwWkanhajcH4X2WqIcbm6uAHU5CbmnKS3ihO0uCQSo+i1ILwwKtzCn4RED9tSxnvS cmhohmKjaYUitLE6YVkbzcLgEQXHgmcC52+ThONxNVomToiIgnCJN8UKXNFSHHKq+1WSnwsi BkwKIeCblnjwG8wHneEm5phveJyBrUiLOLXvXLPVy8eMugRtLC9EVquzrDhOx2qE63HHCRkq 6QsiLRL64s0I54ADEa1hZsWMNBY1MgMAT+aQbg/Iu8Zxt9hjWdGtZlxhVLMsHAa/3JkMXC4V a/ycRl12HWiwKCXhKT7g8IQpJTHSa+5dSAWlLq0fjbp99AgZZOb4hOY9NDk7NPVkaae3G7Er oOi02Tl9GeLh4/n9Y6QPNx90rLQgRU5gXOb6Fs4zObI5XeWcSfMjgCu7ODuBpSWLqakkztaW cD3d6TktKRK3a48ck9SJOQQGvfT14WdZisT6HwxD3O3hlHuRnnZme8CP5+en94eP14c/nvWM gObmCbQ2D/peMgiO6rArAZkAJMqDcf4xWRCcIIqz1KU42d8dJZr7BtZvU/j7Y1MM+k1voTdI hilnRSTOUXFRHFpKV53t8DUplL43x/6bLt++w64Y574flfhJkGLI2QAqDUeEh9BS4aXVMSQH dEOpr4IHjQs4xVN3nOhOZn+64uf/efnqugJ6yJ7b5PSXvgK3QFFSTzlhIOC62VUYfKtMFetM pHndHD8OBsuYOKhv8JTe4x9OoMWwYFwK0FdpuoW0CVCmvKCRrsQJyPDaMjDjSK30ePA94qGB wuynkIdsXSRiWxBcj/GiRa8LgBjnt/Gs3MpqwMlgLwCBXhKISucZPm5X5vilDjC9YWgYwy8e 02XnrzEQ4c5BDFxoJ5YaXfb19cfH2+s3yB34NHV1NXPZQCYgnCxBlw3o6Ego2P9YJQlKYNpn wCTj7CO0ACbWtjqcMvB2LAS9rh6i4L5na3eQ31/+9eMMPn3w7fxV/zH4hF5vtVtodna+PD1D WK2GPjszCHlQJ43dx72asfDluC6V+PH01+vLj4+xv7rIYuNthF7dXsVrU+//fvn4+uf9xdcc W8e0VYKT7dOtDVuTs9JRDBc85ZJ5ERamxJiiWy7RVIa6Bauf7z7jt69f3p4e/nh7efqXb2a8 QLw8vk3i1Trc4Ex9FM42uMShQfMVLlpUXGIiaPc1ffrp4RpnhRxxRIN76MvX7op5yMemnZN1 lziIZOQM6xS3oCp0Ipc0C12lhW+47cs0t3cab5grz8SymCU5miinKG2PV9d0k8H997HT/LdX venfhuHvzp37scOD9UVGfR9DVlTndmyqkg3u5cM3DbWMA9t4PlCwvu5tPhkMr3cscLX648+4 8ojMhB/WVyueO7PW+8CFEgIvWNPjUtaEXqBDEHVJqE4sArhfd81ouRH8uDC1HCAxYxPtUO2G vB7Da1ovSKh1qnIiXTqA61MCeay2+i6opMs5awbLjy0pxd6z0djfrQwdM1BXplxPqq7sHEyK 0tQ11fftuZnX+/Y43zqhXCmzTmlmd+3GSS30BhOah7A+uChtI07lNZToyfCFHuk5SKVnSP9o R1ExvSCrN5zmL6Ufn+K05bDdueZ7x26AV+g+o7xhKlzvkGPJaMfhrtZn0g9jpQraws/a2JXq gydRI/JQTZ/sXY7VhacGTiZb+e36yPXRAVkTResNnvOnxwnCCHsswZpKBuysE5ZazWUrTaPU lH96e/14/fr6zdsBmjPXVfH2uygvtw+TxQBiVomUVFnhxzB3Xj+eHqFzBMpOSQI/cLm6Q9rh u0PPjYyJYKGuJvBqSsV6g8liHjY4Q/iZCijqWzmlBAfXIyR5TuglO4S43NLuTmYe7sBVgyeb 6uHUJ/C41Ie3OFY8rvEemBbuQbBsBWG0s2L53UW694Wl8qff6oDqVHjc7Hha6pQQxzWgJcR4 A6tYuR+rSXsFkNupdVR5ef/qUMb+lhCZykvVJlLNk3oWOrwgi5fhsmk1D1uhhf7N4QLg+hio /SlNL+ZWcMiC3KYQQUAof/V9nuMwm8gqlbEWJHFBrJK71Fz1mAGCq808VItZ4I4FXGiSVhGe QfoqSnIFaQ8hX4nkxO1/0BdfglFHc7FwLQaADmSYFVMMPjWl+64LK2K1iWYhS7z4QamScDOb zbFPMqDQDQjtVrTSkOVy5rbTg7aHYL3Gc3L0KGYkmxlmFj6kfDVfhs4Kq2AVhb7QcNDLeMI1 UwmrKj2PWhIs5p0EjqkI9WkfC+a9QDUJchssDUYkblW8Eyj7Xxcscw2hPDRX6Hf/t96zundW tmFgJtB6qAl9G6SeJNlvEQPR+yjErq8BunQYaVvYJab6PipOWbOK1stJ+WbOm9Wkkc28aRYr d/o7gIyrNtocCkHkP+zQhAhmswVKRUbf7JDc7TqYTY5ZF933z5f3B/nj/ePt7+8mQfP7n5pp f3r4ePvy4x3aefj28uP54UnTo5e/4E93LitQ3KBj+X+0ixG5jmqZPtm3j+e3Lw+7Ys+caMPX f/8AAePh+yv4fT78AoH8L2/Puu+Q/zpQTqsdAbGsSLzDakmUwMnTFdoSRH9AqBoco7YSXp0i miOI2fz2kGrZ978e3p6/mXfb3sfBtXVejB3q6vHd3jvA3mjvug35wWMawclSzw6H6CdOpFQE lLJSDYlxYFuWsZZJdFjeXeapV2XsyfUj3sk+2QFmKVt5OjfGZTz1k2+UTN83mmgRKcTVyMw1 vP6BdOTxJPjc4CyGvesnR27QnZ8UFt8KJtGHYL5ZPPyixefns/73K0bDtEwvwNaCt90B2yxX F3yf3OrGsbXo3Z1DEisj9fpPlzDeivSU5iclthXmG5qJyubmHVkSxlnwt7l5AgwX0oEZwYnh o4kSJqR/4+4jCP5TD72m0pLKggTVDQUB+Z7Qtu8rTITRI1DCf0ZKVNzG62P6h1PmUiz9s63N TJrX4QiVcH2Hd6YM9lmSoq6+0GFden4gWuodtWK1wy+a5r/88TcQH2VVmswJw/FUpL2m+Cer XGlYdYDIpMrfWbVmODQVm2tezTMFJXP0S+d8GeDayE7tqBHWuGvCgBDhWtBasyUCv8arS3HI 6Sm238BiVlT+FumKTOq4nUQZZreBvfCPmaiCeUC5DfaVEsZLqTvxsj0rUMQoTKr2qlbCD8Nj XGSSymhi7uIK9bZ0G03ZZ9dR3QP5CZfSOAqCgBQYkxtmLt0qkXq2W+Ys5dTRzySh0IYc5c1+ SxtuaXPPFdrW4Z350UQwq6Rn+GSPhK++W6/k+KTCsfJVK6xKKPehBM/dDAD8wwBCbYh7O/NU 5qX/naakzbZRhOZwdCrbBwR9orBd4Cd7y1OYepw2brOGyFFM7fRK7vMMJz/QGE4hbFY8kGyo ipizi//BnPmc1TbD3gxw6kCF0cNN+poinBXg8tFrJmKmdyruPeg1XUs3T7ULOohE+Q4WXVFb 4dvrCsZn9QrGl3cA15ge1x2ZLEuf6eYq2vyDi+GiAKluTH2wRhX3PnZMIpEqkIAi87Y+b8As i2+OOEOjHJwG4wnnoTmKRGJ8ilure4R56CgJiTd4Tlk8prbT9jTvmJjHpoYdKsK7Yxef/Qdf HdCOlfqG9LJG7yq9Nam8sLtqP4UizYLvrd7r3sHYjY24fblK2l1KXBUALB61vEB4cu0ly/RH kHWBKvFJdWTEp0+yUt5rkt09tkvrT0F0h9La1FDoFF+NMp5jhGyWhzhsx2TAQdAi2k7Q4GK2 IO/tAxEYrcvBVxZ3tAIgScM1EFPMuZ95Ymc3daIDklG4bBocBIoA72jje0t0mYU9vBmhXNjj 9FeX14TXfkNVIZkRuSB7x1fsE5pRwZmKlJW1SLzJSOvVAqGQDpw8FynIOoTsXRfEW+FFw4JV RHanjkSQnzpe7vBcqf4yluUe6UqTRm9h4qGLpFnSagANVeebYDRxnDseyUt/4x1VFC2IJ9Q1 aInfqxake8TzCxzVZ93qRAGEjyfvqLRzzfEw+rQiLs+MN+FCQ3Gwnu213js/0asSKX5s00vp JReH38GM2AI7wZLsTncZq7rOhnvUFuH8kormUXjnptF/gsXWI64qJA5F3aChBX5zZZ7lKU7K M3/sxvsM4pa12JiCY8qYfE5biOabGXLHsIYivLdMypmAROYU6EiqHXv/IDL64ZRUhEvcOY5m /9y5CbJaxr50ZZ9zJ6XMgv/EzOVH/zFqfmgp2gyJhe/whzawVXe7l5kfPnTQ4rM+iGjDFwF+ Njt5R1AsRKYgaxC6hx6TfO+/A/KYME3kcaHmMSGFJN1mI7KWAj+isXLuQE6gvvbfVbIOIhTT UaZ3V6mMvU8rV7PFnQNcCtBreEwyI2KDomC+IYKWAFTl+Kkvo2C1uTcIvQuY/17ZgbwHS1Zj TrduexD4UqLrr1iqeX3PHVcBl3FfDFLCTSPnAvKElTv9z8/mRRjVdTk4pfF76g7NtTKfrPJN OJsH92r5syjVhiBRGhRs7mwOlSpvP6mUb4LNTe2iQeGEL6UoJCnaQF+bICCUCwBc3LuMVM71 VSQaXMOqKnPfet9TpcYkcHfpT770wIrikgpGPKWstxfh5sIhbCgjrluJJdZ2B3HJ8kJdfJfO M2+b5L4yoxKHU+URcFtyp5ZfQ7Yxq2UGNnKKRDk4JGtcQQpXzT9CkKUiHkbqcGgYEdVWjVSe 02+q/atR/2zLA5UqGaA1ZDkbpWGaNnuWnzM/kYAtac9LasNfEfDnXJzGrcOB23jngsCaG2vR 4SSJXuu7G6SR5UjX2J1nAITE+0y7OCYMq7IoiF0OUTnbgOKbYNPcehxT7xkqFsmKFCARbDZL InFJkRB5CooCL1ejCsb8c3h9//jt/eXp+eGktr0B0mA9Pz91QWAA6QPn2NOXvz6e36Z24POI wvdxaJrNwwwXgD6YWlJ7a2Ow6uBf54cbUSwaupywqmijqRuZ5YIcTTUC7bWHCKjXPhCgUl+B fjQL+EHg61dKlS4xzxi30UHEx4BCc83knJasUyVisCsLhQGVxAFutji3vCLwP19ipnCQMaiI zNe3due3ZBc+dV4VJl7x4fwCIYe/TAM5f4W4xvfn54ePP3ssJEbkTBmdU5CncFV3p+hrKRc3 8/Ysbec15nkl8evVhMci4X2DckjF6PXgZ/PWP9ti5KXZOb789fcH6dUhs+LkZ2mAgjYR6GG2 wN0OEkGZ2NPvPgSCh8HV9/u4PZti65gyTPdtUVJWlbIBlN4J6fT+/PYNnsV46fOtv48G3hqn CNsjWg5BnSdHiziCKk19tTjU/B7MwsVtnMvv61Xko3zKL0jXokZnQNQjYuYsDhWtaWsexWWb QyySq3jqyjRJLZbLKEJmdYSyGcY5QIpCr6LrkjqAquMW7/GxCmbEK28ezhrjDxyMMFh5LphX UNyF+JerCDf4XjGT43GLCaxXBGssQj5vX8icKDabWMQItOJstQhW6KA1LFoEuJf2Fclu8VsD TtJoHs6RvgEwxwCayq3nS2x1U67QoaZFGYSEZrLHycS5Ip54veJAJgdQp2KE4ooEzxBFjVmD aQudWHurfv9AepdbHPlMVeVndmYXFAR/K+6+0jUATxlscQRwsLXwdU7DtspP/DBK3DXGayq8 8bQ6mjlBCZanOM3N88MK05FbmA1bcUdpy82pNmPEWU6DtOXpckO43FgMfmEFYQvIbQZsfZfL EGPRLYL+MOtBPB5fJRss2sZCQdO1TYfp6eaBB8GsYPG4vFZ6bzE2LvaPdzddl4wVkIut83Md jWoAAxeM3sM90YckTeibRQbBJBfyrlRbAu2Cpw4nsju5WLLQrNk9rAPLNC9DpMob0I5b/eMe UiH2TKFh9B2S3WyaedIs82K8ec1ms/fkcNU6hRAtpDkkPwrPhbNYrSPjqY0C19F6fQO2uQXz YzEQuHf/eXAT/ZA23hZGEdpqvsamzsU96YtFNlyWVGvbUxjMApz/nOAREcEuHhiGING75Fm0 nC3vjI9fIl6le33K8Mngl6pShfUoJT6gQxmRhFuoqsAEuCni4if6XfwfOl78RM8x28zcUA4P BrSizKkBHVhaqAPuN+jiCVFJqg14bhjSrVChiR5uw+ezGbFwvY8CCtzneSwbHHaQsRAFDpOJ 1JuQqCghNhAHqZW6rFcBMZhT9lngIHGsdmEQEkQAbiIKkuMAQ8faczSbEYOxCCTt0FxXEERU Zc15LckFSVMVBAtq3TVF2cFjArLA9AIepvlBtSPTZnVK2kph97OHmIlGErOUHtdBSO7yiheE Id4j/SKbRO5jKwXvmFbLZrai+iuZKraiLC/w7ipmqfdGLvc5SWnN3yWEEN9pxfx9lhnZkGxZ Op8vm5+Y59vE/xxXETxv9zM0DO5rSAKQK4nmIvTmoQmX1B4N5utojgPN31KLaBRccUOaSBKo EcJJ6BSJRySqmOCt7+KVaUsp2V0yJBPB0KygHtKEU/TAVRDOMebcR0p3rtDiwU4mBfGcZkBU E62WJKWoCrVaztaYOOmifRbVKgyJdfxsjOzkicsPacdu3GdL5KNaEvboTsKR6BkpUzm93k0h LlsYkDdltiTdThrYoXGhBhTGXeibZ3g2lQLMWNmBwin6HFeFdED8BFggkYuxA3pnwmrwv7w9 2ecH/zt/AC2eF6xcugknkCQJIwzzs5XRbBGOC/X/fuinLeZVFPJ1MBuXF6y0ou5gf7DlXOLS qwUncqvB475Ldh6330UwAPK0DxVCUleyEz0PeEV4AVYLykS23E6f2wvtuJHFztUpW0hCSrcY VqWkHE7y1FPO7veepcJPV9GXtJlaLiN3z10hCb55rnCRnoLZEdfyXJF2qWZhfJQuSgjba0Pk I6JQthr2P7+8ffkKVqNJNH1Vef7CNZUffhO1ReWbi20osCkmV0KLplme2URAxIJl+eecchpr 90TEvcm00iVwxgitASvPyGJyWow+NzFpjSFfzfh9og4hFrX3WoX+fbQFNjDz+e3lyzfHmuF/ uvOMqA+IwuUMLdQdFCV4tpsncfrXsMZTajBHqUFQnB1YvjCViIvErw/oom3EKRY24Y3EzQno AkTDShzClU9O+vLUcEBbHJiV7YmVFbzNgUD7h25voJgXE2IRU5+asgwSreJPPLmIJheQnzfI X0R4dY+Gl97z2G7Fsya/1Oi2PA2j+ZKhme/9VvD5K6swihq8Z33Gi4M0GYMRaFK476l6Uyav Obuy1x+/QZkeljkVxpCNBO521Y2Whv4SrvtcB0GDzEYP6ncu3YgWB+fBbDb5KFvejO8fDdHy Gd0cbK1EM/eT9nrAsEWDEYY6tAo5JrZ4qBZOBtRhIJ9KYPZEh/6MDlEf7Ml4/MeJnMIbVOIT +rRNBzROiHuRycmcKc6zpkCWQPFgJdWaYFo7JH3UtdAZs9tToo/Man67oY6N+VSxPSzBT6De Q5O7ZtUQjt4dCji8jpsZ7dBG6XuJ+a+Hj2E/sytSzePc6QtiIcerAxya3pWGGOrNPG61JIIO OjAE6yTFvYkyWDLbJaK5PUCTe246RrgsPgfz5XRrVek8RCbOlP8E1ajF9tRSk2+Ad9vIzwmy tfWGRdm6ER8xHg+vysTaTqbjMQ8AngjZurqAM0tWYSyAAbgEPymcQ94jFTZDWM+A133+v6Gs C6bvqw4miCKVYAuJE7cTU1rAm1/di3SDNGogkOzG2hQxQw6gWIeu4a2gUdtKjguU3Hlmfyg8 M8gen+NPhcA4II1wvtuN2jpy1W5TN/2RKgQ80wfWK0DwgFnBU1Ae4dCu6rYaYP4ot5NPRUZ7 OHeP2rqVr4X2+XWZjzKlTdCs79T3KQBizJHivYCH8NAea4mxiy7cpBNHGrWnFm00FQq90ByM 6oi1KZpLliu8UViem22CtbnK3ZcZs9rmeOqlgSo5um2DhVdyIhGY/oJLgWVOBs+qh6+0iAZZ N43rhcs0QwpbeM5h4emzh9KFn0aLl+GCUAIVvaMgSpnI4fVdpmdWuwwR/yeczXpDr+M/Fq3n q39MOeYzpaWwcRXz4NAku2m/SIWb+QJ+mTf0PAe/vrBPK441w7I9Pwh+tAfFUcZx/c/NUW4K pJoavGw5JoN2NaxObFwBilteEg47PZIMOcknuzj6EpUZJJ9AOgJ4dqpzym8E8DIilRzAbvV/ 7fc//8vZlTQ3jiPrv+LjTMT0NPfl0AeKpGS0SZEmKJn2ReGxNV2O8VJRrprX9X79QwJcsCSo jneosp1fEvuSSCQy1W/yDntTAcixB7/rXTPca40NTdL7/kPrBXbEUPzquOX+sKxyNagpW1lH 1c6c1kCq6t7YSSfX2+b4lwaqWGq7A4QSaDHDe4UFoqPNPoyFtZmXIxaA8h0XdCLXebEWV6QA AES0b3x2A8wOq3igFEDrAxyDhL/FH6/fX76+nv9k1YQi5V9evqLlYtLhRijQWNpVVe53pVpU lqgxnxe6FrvN4Kj6PPAdNOLVyNHmWRoGrpmpAP7E8m3JHuSolVS7cmemWFdD3lZCjzr58lpr JzXj0W80aJgsGdMaHJu9LQMhe/3j49vL9y9vn1qbV7tmQ3q1hEBs8y1GzOQiawnPmc36RHAc vHT1uDNdscIx+pePz+8XHLyLbIkb+vid0YxH+I3FjA8reF3EIf54coTB/80azg5DmEKYd5R4 w68PHGIoYmWQWky5BFjbp2RLyIArivlqzW9/LA7kAedvMtlEOlhZKKFhmNr7guGR5YZkhNPI Pkk1GU/H2PJuiDngetjUk/K88prI4//z5+f389vVv8CTteC/+tsbG4GvP6/Ob/86P8OjiF9H rl8+3n95YrPv79pU4aK13pfZMKyUe5PXwkLCMkA2XV7TfqPOtJzNXXShK0pKdnvu9RAOOxBl xJqzzGt55Ats5ba2+Gji6M5z7OOtrEvUkRJgWPH52i4CLoq4wQ0mhPFhXmtrJqnZAt5q+zQA vz8EcWIfcjdlzZZZ2+oM8r+2NvdRKJsQC1ocedqu0HBTWI12V6kEtlrO/aQiiP4KyB0h2u4M cZjY+lxpOyElNTgx09qCH3W29hVA4JjtGkcP+4gdUb07rVDsoHB7YMfETiWbql2ZetrqhVuP swIcZhgXGazaVLUr5g2Wq35dxhDqTKJ6f3yFef+r2Gsex+dN6FIx+Y/X0p68sVcW0xHg6bOG nspjPa00zfcvYvce85WWG31fg8FBLEEJx+OO4SVK2nbRLVbptv6gLSu0gjOVJuVx4ugBd2Ut ATfzVmcaCwvICBdYbLKwLK1K3/nYyqmEZYAjD09aJYk4fYpqC6ilGXQHpPv68RPGR76II8bz DPhc6GrVjLL+mtukKvlkXZ0V2cmP0XeTnGMg/KfwLyAddRltvJNBidlhMOigjVYLNRJP11S0 lVI42JRu8TMNh0m/yfZac24OPaiLqns188m5mUrELll4L01bkiXn+QGH8plQ+9rLCzhboQrF TASA/dCeQA2snZUB0jUGCsh2H/Zza8uP7UVq21R17JyqqlVzr9okCdxT1+d6O0CBC3t9+LYE v+W5muIMbHNtrItdS6PxXUuhgW7q1CIjogJvh7e673eJoWFrHdnfq8k1dcZOx4PRzz0xhpeC w3cn13HQK2TADW8tjMiawyKozOiJ3tratB0yb9AmjqDxe2aFDp4ZuJ8dlYqMonkbt+RK/TwK 9I6huZswOdnx1PRhp6ek2ep5UOzd//jBNdKVlGwJGmyHgy1/WKZRTllhJtPb5EKBwljBbFY5 CmYyWjYgXBhVmyQL20QYiDbQ+3LXZWBPa1I950S3VUavjdE4oaDttNaoZ2fbimy3cIlmZxoG zEsIQAP3k6L06PgkXqs0E2RsSfTgFIb9AD/sei0eWFutzyrgqNvTTmea97gpGsy42WlbG/un XMrwZaFpWghMxeMM6BXpqzLyBsuFJCRY2SIl0rbGZsy1fMnC/lBUU8ImjsoB6D4nlQInv76A L3wp9iVLAHRUS5Jtq6js2Z/mm/MR2/ctZ59CubV0ysDUXEE6bOiAc6cbTd8rQdwmSM9+xEZJ E20riU3fs+ai/QFhoB6/f3wzlS19ywr+8fQfzGKCgSc3TJIT12KaYrR4fz26M4CHudbQ49JD 7Mfn5xd4ns3Eb57x5z/tWZpzbboeMIo9t6hQt0lXiWRfy09+gYH9JlnXjTHCFmAujRBIEQ3e Ul6BgZZnFa/z1vOpgz3MnVg22X3fZUQtOkfya7BzP5JSMrCZMMP54Zxc1ww9ens1J5vt982+ ym5KJMuyyCBI6Y2ZI5Pn2FGtVzfgCdyVNdkTSHMlY5KXPFcj6aq8I3Rz6HYmxPaHjtCSRzUx i9uTXdnhNWGbOFZQ2NtD7CwpM8SDWZCa1lh6t8XW0xxw6TUo6iQIlRk+IdendotGYVEYpqt4 E9we9rlxUT9XZGtXxMg8XZLFfhYgLTiCceDY0hcwrkM1+dDYZQZXuFaS+EJRMsxq22TbuGuZ 5M4KGierJYgxOcDgSterkf6lWqTeSjFTfz0Hix8sg8/irt/gsxggIYx/rW5RuF5+S3Qmk9Gi AzQZUX9iCJu1YPQ69tCnBjpTFKwlEeFvOjU2P7tcL8YWo27HDCbLSOKYdSBx9PI4Ajb/0tQH pjBey8niBMJgw+7xVKbBn8S3+vz88tif/3P19eX96fs3xLK6hGBaYOzxU7qPs31lbBlw6Zoh mywN4iqVFhlYwoUlrkrg8c8gOO6pIjXpfwtdT+Y4qQEWp49Id6t7gxUCjVW3wROj9xQN5MjB UVhSMxNOJ5zlQvf89vHt59Xb49ev5+crnhui4xQlr4sW050KcFScybRZdaSSi7usVSyYORUM wS/UZNG/6x+THDtYC6hptRao7veDJpuIltkkEY310tbl/kF5viqorXCNoaYAGmyNkZJGOTVy 4nFIQuxVNwdn52sy8UEnwFXldoxAMo9xa1eK8wOTvX8ZUXgbonW2nPo2dhUzcNGSfRIbVaH2 lmeQLxSHMrWnYai69ubkO7KHEEe2tO6oG+VBIt9Xr1Znvirk1POfX9mRx6zm6IFH71s+QxyM 6umjgxsT+CZ1m4Sx2e99S3IvcbHlfWybIHUc/VJeq4KYttvCrJo2XTvy0KDxLMQs1B7Jc6K4 YTPKXbVJ7ON3vWPbwKJpywlaLo5CvUHFI8gkQlqJAamLK6wEx209JNo1/zQJzIaZ49BfarAV 6wDOsOkTi6G4qCc7LTW4vmkcFasgOUGw9pOLmy9MTKXgsuzhYhUqct/T/ZrOtnpGM8wqpdWp wp9DpMZaLuaKq1Nz308SbbNkWyltaGd099BlbuD4aHGRYqkZNfnNQVrfeThvXiH3l/95GS/U Fg3ZnPGdO14pcb9ODd6pC1NBvSDBx6OU0oAbyMnJuHeYOenCoZ4aFzrdEXlVQConV5q+Pv5X tg5l6YibQQhcVCvpCzqF92pvSpEFABVH/Y+oHIn94wS8FRagd7yUivxgXU0jQooMAH8ajeab WN6lK59bjFtUHuzko3L4ltL5/imXI0ipYIIDoTPgQCxPJxVw8XZLSiewIW6MDKdx2MySL9i3 n7Kj9KpLkLqSypa1EpFbwNw0+8yOgn2MfGKQ4CYvq6YXf+DnBomZm0fNNvgX2es+8j30nCcx daAEVS0+ZXiy9b6YWSesPC7k9qDIBzJCcy/G1VOciR7atro3SynoK65X2yITrCgK1wImPIKg fN/BcGASkyN7gdlkcJV8z441fZIGodTzEwJjNHLML/RBrdCRHDjdM+l0I9u8j+UUxLluImYD JyOVm1La3EK7D2YWI6Da2+rgdaEEA9fhoj8dWAewVgZ/nyulGAWzn2ZS4Lkm1hzs25gwDaLC 4qlX+lPDMdGVdbBvCxsmmFgCSapv2RoPyIweZp40MaiO3pakeU8tw2JOr/ej0MU+GNwglJ2M Scgkd2I1YFi6XgXWdYGLKp4VjtQx8wbAC5FCARDL1iASECYpWlhab/wAa8qpQ3fZYVeCTbSX BsjMmRwxYsOz60PHxxbGKfOuZ9MaKS8sUr6rvKa4w2OicqkjUy4+RhJE6ewJ+ORDX0eMTGVd shz34EdgXO7ZGldlbBzT3xyd+a4j3O3dqe9IK7usG/HxoQdrkyPLvWzZwVN13ogxbjPSiQfd +MqJfAKeIsB1Lvoia/pATdss7MVCAgOY9/D/LmS0lAhLCSLNZXpMTIOrrtG3OZORhdTVE5Jn 3UydxxB40lxYpRjfYHH3pnhLWIzHeAhx2uRsJaXT18Y9J7chZqx+4AwXUgMWLJ1ZLFpNSy8Y PNddSwyvHy/S5tvH4/PTx9taeUfRCcti4sjr055Kbb18yxDarZbOWgReBjNIvVnSaaAQ3kXY lCcrhQcjIt8cPUAOsMQACPEajRxFl8Wht1rpy9USR+PHt88f73+gvTMdUy0sc6uw2dnoI/72 x+Mra/LVbuc2ST24O0JrYE1iyvhh8NIoxgbFyutWCk5FG0rJRnvLT7EXW2x0ZTK7RJZ2ImAC d/pcz4Fzz7gi+swARc3uOS6eAKKfjlBNWlTwk1ggpskpr/daoSZUOZgLZDRTXd5F/fvH+xOY S0wOdozZUW8LI7A7p9HQ9ioGYOGpaNdmBa5hAJ6sT122xONv5IGBew12VINMTi/SMHbrO+zx F094aD3ZXeRCU8VhoOuXJwvNxqs/fRStEcSVJeb4jK80F8cTTGsxo+pd7kJG791rki9CufSJ oKn2yxM98vRacSoub46wG2KKYQDFE2UmUmey337eirnrK0cWiai6WpMB3YsyQANLv9NGmIJ7 bMGlmRrv67oH03pKcnvFxPZ4e8i6m/ndCMoMbr2IRUUKGH7TsIgFvJ/y674A61a13oKJe6ix 0MW13BtWdA7bXt0A2+/Z/oGtHA0ecxY4ZrW6REuStk7kW4aFGOozRT/hjFTjdLPQ0SvVBU59 5DN2+sAOGRztIz+NjW/K/dZzNzW+KpUP/K0l7oGKTzkdlbCu7A9qfaeDqaI0GWknfNzOsOZT HFKrx+s7pUSI5lxG+VFJTYeSII6G6cm3DNShrBafSdpOwuk39wnrYE/j5kqgyeH8XMxsM4SO YzzfUHcLePrDBEYtm3uay37GgKZ4QYW5rfVw1fppgJ0Ox4+rWvZO3NLIdUJlhxGXPOiN1+QE U622dCukZcXvoBDmVHXtKNNtPu5lFs3qGrC7ymVn27U2rmo/9I05hDsckhn4vZX+me02mO+0 4hJPL+FIXqnfxGHsAXyj8wJ1HNzVoesYzQhUtOsEmKRpbH7CqHgojRH23UF/gm+mgJme8DHc 3wWJa8gwwmlP1XKLXeunwMM5KPL9Fr8vW5Xr5kNuuYPDs+aRdCJa7ZIXji0ZSjYOmqrPdiWe CPhEOXBHW3t6wGu5MMNRn5/0Z3bpRD5zsc1ml0TSlFKgcXNCigKq3iTC5S+Jqwj9FLOhlVj2 7EdryYSLmBfymGTa1Vzmi26sa7iodiEXxuS5FlexKhN+dyz1c7Zncj462Rcmw8nJjBBapT56 HafwRF7sZlivslUr8gc8bVjp40vl50yYjCyzJLFnzSOJL1S+6nNfCXikQlEcYZApIalYmNg+ 0wwTFCyJArQgHIqsX6W2wYbpnE2mUURXJQoVV3x/q1CSeijE5DfXtSHqPaqKWUwxVaYUkxsX lnZD5EhyErDIdCa2PTyUimNGCTsmiRNZlicOJti2pfGkaNpc5dK19TVWYA7SugAG68fwIgb7 WJcfF8TUpUvYKB1e6AZa7UJrlEuJje+Cm6ahuFdcnfPYldvNYYsWmjO0d5Zdb9yqT8e6Rn2B L4ysfk6ELlgMSrwA3aGY/Ba6kY+OdkkQRTHPt40dIX1aXKbrbKj/dp0JX3k45vqWhYKjmjMu nCl1pQbIy1xfNnLTPXt+wiP5VUQ2VujghXfeFCAsyY/Mu9O+nCG0lRhLl4eXWaJLLL8fL2YE /tIu8mT7+wZjklius66dWOTGIrColqebTXEpl6Fu1/MgdbO3ZMFOavXKx7wrjiRXw9Z34PWL sPFQN2gkCZZuKb9EZ39j/mtEwWy14oXuMjwssmicA6oUhm97Jn0Sva5Wb9OQmubBo1M99sHY Ez7K9PYriy6zRP+E3rUcNgDquzKrHyw6CtJNVqlQEWsb7ZqurQ47a+gxYDlke4tbGTaRe/Yp sQybbpDvvHmX7IwO3Ol9pILXd9oUBiKbxvYv2NRbloKRBnMNSYfPHfv42Yn5t8bAVot1GFNl seE/vWdVmkfYnRvDTliNogsqONdQkqCH/UBUyhStTyeBE/k9rUnfyycsgI0S8CsgfFvJT8Om GU7FEX+WyD5+QFVSED+YG/0IfyfLPcQbPHa4evr4hgSNFV/lWc2V7+PHP1WUDdaq2Z36o42h IDvSQ/VljuVEzXm6rOBBFlrra9ixAkX3F7hgb0O4DB55Dxupzb7vICxoZ5ZxwVjrY+uYwdaV twewk8pkpf+RFCWPIr4MEUE6BpXHir0BB7zIFwCjn4B+XuPNiqPuGEUAQndQkz0PGr3fyXH6 eGJ1WXvs30kLbcsx/sYeIgafcvYbdkUm2O72wpmrnDMTC+FhBkItatFmRHobytpXE06AMjrk lCh72bSQs2QDq3zWQnju39xIuuFlIERzA7U/rz5WfM5UgpM+WuZg3sCWDUohUqWay6EqtQs9 PoeQK1kxJOAa0z4eWaPNb1XGG0Rl8xY9l2dbtkXmBFuIBUfNpAoxVfVhMrlq+YmSTzklXjdY PuJob6BFdiR7Vq1jS1gXEsoqcL/Kk7NOOXT6sGC9HwVBxCpW5Cbkh6ENicITEX6YLVluSlux uO+S07E59OzAst3orbLAygQQ84r7gbP2AJsd7DvzsyPBHesJlL9H/tOaKD8lsn6Vr6PG7Pwc ANUbtYA6Js7RjLJVbi3nrA78mB262i1uqjRy8eiXeFCnsSD8yjmnxCyIuF9gkPXjHlwJVdpi s6xDYj7gxWN83A51jQnmqz67DEMgKja+8/MVO3/+SuFubvQbJt3HTyuWpy1NCx1ZojmdVaRp 9e7jCLb4SenVWVU1+vCfP6S7eSPn68/j+9PL6+vjt5+Ln8PvP97Zz3+wmr5/fsAvL94T++vr yz+u/v3t4/37+f358+/6fg97UHfkPkZpWbGV0Njy+z7Lr/WJAyIYvyqen1OV708fzzz/5/P0 21gS7lXig/tM+3J+/cp+gNvF2a9H9uP55UP66uu3j6fz5/zh28uf2kI7jqVjdsAvVke8yOJA PUjPQJpYbGVHjhJigof47aXE4q0lUtPWDyxql3HVpb6POpOY4NAPQmOpZtTK9zKkXtXR95yM 5J6PHzgE26HIXD/AtUaC465O4hgXvRcGH3saPy6BrRfTujX2EX4o3/Tbk8B4l3YFnbtem37s gJBF4hEeZz2+PJ8/ZGZ97SqOsYuq92Tc10sF5MgJkA1AACA9rqaZBMggGwH9Y41r0yeuvR0Z GkZ6cRkxMog31FFeoo4jsEoiVoUoRpbqLIvxGzwZN3qQ6+DZrLLRobr6UtEf29ANzKSALGvY Z3LsONisvfMSS+zJiSFN0Qf7Emw0HFBdoxDHdvA9z1EHHqxFj8pShYzX2I1N4WrwwiTQUju/ r6RhdiUnJ8ZiwId0bJRfkFFu3+w8TlbtPhYgRCMnTnjqJ+nGSO8m0W5ix7a+pomnLohiEj++ nb89jpuFGcFgTLTtyR78rFZG09Qka1sMuSahOX9IPXhugFHDBKPGKG9qtDmj+m6KUUOjI5qj FwVGCkANjRSAmqC85nBojmEUGGOnOUaROdGA1xw5nIqmmyLU2JN1UDM19ow5wKhojWNRBm2k QBqBfXFqjgmyMDbHFM0i1UyhJrrrJ6F98z3SKPKMrq/7tBbRpfXNHgA0cuyCu67RWIzcOj5G 7pUg1gvZdQ3FACMfHTTto+Oj3EhJaOf4Tpv7SFPtm2bvuBy01y+sm8o4tHS/h8HezCq8iTJE fuF0XFk7MwRlvsNUXjNDuMmMg6JYIXRq2SflTYIVI4/92jeWqYqtT6bh7rQShomHNF12E/sx dq89nmDv0thcixg1ceLTMZ/9DW9fHz+/SCujsU63bhTatz6wSYqMmQF3/kGk7kovb0z4/u8Z bN5nGV0XH9uCTTPfxR71yxxc0Frk+19FBk8fLAcm3IPNjCUDkPri0LtGTm5Fd8UPOer5oX75 fDqzs9D7+QPiDagnDH0Hin0H2enq0ItRj0HjKu4ZagkKsY9bUoyiiuSU4f9xEJof2q8Vfkfd KFJyM76QzoeAZcaxNh8KL0kc4aa3O8qJIZ+pB8H+sOcXVKLHfnx+/3h7+d/zVX8UffKpnyw5 P7gwbyvlnlFG2VHM5VEfbQrWmS1RtlwDVIwFjQxi14qmSRJbwDIL48i1Fp3DqFmsxFVToizk CtZ7zmApN2DqVbSBWgyrVTYvQs19VSbXt9bytndxG02Zacg9x0vwigx5qASZUrHAitVDxT4M qbUJOB7bdf4jWx4ENPk/yp5sOW4d119xzcOtpG7NPVp6UT/MA7W0msfaIkrtdl5UHh8ncWXp lO3UnPz9JUgtXMC25yFLA+AGgSAIkoAXOhoh3BbcrC+Jju8Y1z7xtDXXwgUXcI7ujC0GrjFn K9c1Dr0Fbsm+TlZGUcs2vMLXWNj1ZGfYPPoED/z1a9OAdjs/dIh6y1fOzikEoee3exz7ofRT n7Nz5WSYoIj5GI1945SXCVFiqnZ7friCw5/95DybFxw4Snt+4cr87umvq3fPdy98+Xl8eXi/ +NkWZQg+SdbFXrRTTPsRuNFuMUng0dt5fyNAX9MGI3jD9/B/o596IcD2b+L4hM8gVf0IWBSl LPS9ee02hnovYsX+7xVfHvgq/gJ5J/VB62cw7QmPxAzISTMnQYqfbooRUJifrgFUUbTaBiZb JNi23zjun8z5tbQq+I59hXtHZmwQGpzrQnXKA+hjwT9vuDH7J8GY10eMeH3wVwH2rbmKxbYr kyh5Hl5o52xJig9WaIemMxi/WuRFxtjhU3rafaaJNNDXTwAfM+afHM/rRbFRYaTOO2sLlfxO mOG7dMCQcK7N7Fkn67G+lARvnZ2QguBiFciuOb86xldKi+V8ynlOjkPsOeLbvOWDEGbNLNvd 1TvntFS71XCLx9Q6ADtZPAm2CKM40JpyQmjR3e+oBlK9mmKz0gJ5LENancy6q1O3ucCdLlwj 0y5cGyKa0hh4XMY4OLHAWwBbH0rCsUtyI3rnmSwbxxWZdZH9znOKbpagK0O42Zrfg9vzgdci 0JWfGeC2K4IotKRPgvHzgFkHuzTPx9TnKzQcpNepPX3EZgNVxMm4llxQwqAoIscJy8LYwLW8 jegQV4pbq1ekY7xT1fnp5csV+f7w9Hh/9+OP6/PTw92Pq26ZV38kYglMu6NzhnGJDTzPEuS6 XfuuhwAT3ndOojjhm3jfkIkiT7sw9E4odI1C1eu0Esy/rilqMJ09w1whfbQOrJkvoQNnh6Pf I8FxVaBKQ+eHPExk6WVlpteyc0oAn44RsioKhRp4tntBNKxbCP/zX/amS+BFiXsuCdtkpQdM lHPi8fPjy9031bC6Ov/49ns0S/9oikIXMs3dvayIfMx8XbDGrCB39oRkWTLlW5icTFefzk/S YtKb5bo83J1u/zSEqIoPgSlvANtZsCbwEZglV/BYZeUI1TbjA/dkkniXegVvgqUYipxFeeEy NgX2ZE1q0sXcZkYdo6MS2mzWf1ujOwVrb+2aMmJnFiCSC0sGGpEHkIe67VlozG7CkroLMrOi Q1ZkerQyKcjn79/PP0RAkqdPd/cPV++yau0Fgf8eT+Bp6HrP2uE0wWSgdOfzt2dIIMHl6+Hb +efVj4f/uPRn2pfl7bDPVO+Ua0cmKs+f7n5+ebx/xrJfkBxbrY85gTS0ylGlBIg7ZXnT6/fJ AMluaAcZHGo0FWt5GmjTH0MrhkPqSN2YwgWVxjwdlgsRL6K6eqeYMwp4Cmhz9U7enUjOzXRn 4j0kN/v0+PnX0x08TNRqeFMB6XB+uvv+cPXvX58+QYo080Ruz793mRZUTW7OYVXd0f2tClrE YU/bUiSp5LvzVCuV8D97WhQt3D35biCSurnlpYiFoCXJs7igehF2y/C6AIHWBQi1rvkDQa/4 t6R5NWRVSgkWvmpqUbvvs4drhfusbbN0UN9z72HaJX2st8/NpmzM86vdA+QoSKIIveqoHsDJ /kBfpiSByKVE4BdtWzMb34JtSny5goJjlG4Xnou9s+htnLUBbrdzNGkTg9l8jvmYqxLkaqU6 2oCPOTFKN8cWM5w4pm6yakriqZZgfiqe07kGINPkurAtPTpxdOu4W8RxRRZ56y3+ChqkwR1y FholaeZ4kQEs7W79wFkzx7pQDN+LA4Yc+cxwYqlTplwpfoGvWc2nG8UvxXD89W2LX4bnuDA1 32IrTdZ1Wte4QQDoLto4Hm/BVGtpmlX4LXMhrbgbS8weZ6UJ19jUEROUo/OMT31cZpsTnwuR JvJdqT/9HUEDSZKswOJmiQ+b6LounJJztlkO0fAyQ+OIMBR4XTQuh/zUrda6VQLjGEMIusaZ kgh9hi3ERLxcNyosMz4Jqrp0cg4M+MBVZ9zWJGWHLDO1+eGW69ijU5jLrRlWfFw10aVQRme7 u//67fHzlxe+TSiSdIoBYD2s4Dh5iX58raV2DHDFas83qqugQ28vCYqS8S16vlf3dALeHcO1 9+GoQ2lBd4F6BWMChoGnA7u0DlalDjvmebAKA7LSwUqCY63zpGThZrfPPUx5j33nUnW9V89g AH44RaEaBhNgNTwcDdZqeDCSXIvMvDoHf9v4JafF3L8FKaNyID1cSMyo9wuGNE2BNilua98U erLwBc3IgaCx75Wq0yaK9HM+A+nIjLNQYWFZsfFvwh02ODvEjMJSLTiOUttxHXhbNRHqgovT je9tHQNqk1NSVeg0e2UyTQ0dUvUFdVHnWrIs+D1wu7Q/ccOqwix1hUJYHI7SSdF3gRlJf+yp tduY6mZ1X6VaWDw9a4VMYkhTW0Nw4MJL/mOJYNy1WZV3yvVrjm3JzfK7t8pOE2HcebGfD/fg TYCGra0b0JNVlyUHvQ6StL22152Bgx5SW0U3jZq/XIBYzwxIzy3wwhhsVlzTymxNpstDhV+i Kf916+hLUve5mnAFYCVJSKEmNhaE4rjQgN023F40Os65ntcieZ2yx51hnCvaJxqykgFMqwKu 19elAft4nd2a36+MaZua/Mj3jq0kIHklXd2jYdAE+tb4MDekkPFVFBhkJmR1paamF+3etiL6 qw6l8GLIAHUG4E8St8QcRndDqwO6m5LjqBjf7hgveQFTJK4A5AKbWfwqsqo+YipAIOuc2lI/ QeFHo0WfmTGo9AO27cu4yBqSBlIWtKL5buW5i95wa6VglggJM7mse5aZclyAgWSOtyS34s2e Y8TiKXRufsaSJm3N6n1ngOuKqx9TMMu+6KgQMx1eddTsTN3ib7kB15AKoo4WdasoLgVo8E8U yToCuZlcNXJVwNcMvVcjcFAffanweVmyGhsJYBVyzbeZJkuxt4UqCTw5NluAPNwtTDVn4ZaW 5KQPiBEugtcmrGR9lRtAeLcGWZDNr8K6jGDx5UccF0K+cGSG4uP1N0XPzLpaPLcvKIw2yyrC VK06g5BvK+3yQQi6q28labs/69uxH9PqqkCtydPRY22pnrph+Is+gT1wxWNo5+7Q9qyTmVYW jAq1Gu5heR4aFhoKl1IIx6ADT7QqrV5+zNoahuTo5sfblK/D5jyGOMB1Oxz6GIUnvL8Qfkb8 spb1omGooYNZDvNzL9SOgSie0h7RbkSqtEpIb9g06tXM/ZLxNSkTqhjtnKOKCa01OZlKLB7q Q0IHcKoV2ejXU0wpjkcerQO4Lxo6xA4nGhDw/1ZWAFMFz01fPhbChkOSGpU7SsiYxYIpQAQj Uey3Gd58+f38eM+/UnH3W3POz01UdSMqPCUZxfe/gJXZ51xD7MjhWJudnZl9oR9GIyTNHRlc Oq4GcKcQFGxr/r2kCx6lwSMJldwK62ii6cEJZsfeU5IespfH+6/4E++xdF8xeKPN7cTe4ago WdPWQ2zm3FbwNtLqwuH8/AL++ensJb3QpY7uS14r3thE9KdY8ashjHBP2kzYrtGQx1V2IxY9 ZQ/Gf8nNOQaTcQQ0ewhwcQsrb8Wt7OFwA4kjqjyz90qc1N6yiPKEhZvVWjMuBVzs8zGf84JV droLMLSBmxVCufHUN3ECOodJU4FV1q0i/bRQwG9aPMIS4GTCwMAqM8Jd2kXQ6Dt12VsI0LpC gGtrXM16LeLKlaW6rsw49cR2AVos48CNXXWkBbtdBrS2mTPCL8SBnqg2IWYKCrSdI2cEJ36w Yh4a/FtQLKE69d7GaRB59lcZo+25+9klBCKBXSAokvXOR/2YsgUkjPMssWsshoDA1nD5ZNr8 LzNIHOj/+9vjj6/v/PdCY7d5LPC8nl+QQA9b76/eLabRe2MOxmBilua3hSDVkcX+sjhx/rp5 AWFJXQPiZvI2ik+GdpEhhh1CyyeqfLc3M6F7evz82dCcsh6uiXJXPAHwrkNCAsotBtwVQfnf FY0Jmp8041I3cJGCOCQsaXtlJyJQiLEBcKSmtksGLaUwALgIrjaRH42YuQ7AuYK2pBBcfwoZ ZsHMODIK5qjFQOEI+1iYsNsqGboTN6xEnh1Q6xWEYBfrtlYrJ8m142OAzYFsZTm9h1N25OXb FB0EKipZDp2xR0pOFMrpDmHIdxJDBCKKfa+kPsCdPD/SW/7z42qrvsAU4RiI7588nU6Ev1BA N0sf5rJZswsh5Vep5EKAWFZlmhhAaQFz2EZR4iOUW3QkVbNoXIeD9rtM9lyU1PogYExjQToJ WZb/43Cq8YBmkAYA53QVN/txpGpdkPcGLyDjQxrkM7DscdOE21Opq8IwCVaSrcrz8y7LWxL4 nuSVlnCmjM2aZuQJ/KeOdj6eDDZ318OBSdDCKA5MPriqF2cGB/iuQ5mX2NuLhUIRuRsxtul6 iQ7V7puMhK6sBGwvpADHie+VDTFhuEkrUjZB9Th2DEMD9rpJNDNeSqU2lWot0lNHZZyUtmZ8 praqwkm+PUIuHu12z6RyXGPicIgaY5mWHB73+6vzT7jzougwUd+equc97EZAtV3bWBzVrxDn imXFHtqVdzrGbZLR5qyo+tMUvGjxJKSrlZYCEQI8eJH5exDLh/c3t0QMhEiD9q9g6XKyJ7kf RJsVGpSxBFYmlILTa2mkIS00AM65TPHZi58TcsmzNoLbWrBvrYOliQ+BHJkMZK5h47ruZtw/ /qH0+kBa4awrBlcuT5UEcysr+Gkvora9DGsk1L6zI7xM26Gxu+L6lPeGtCll1NtA8jfkyej1 8F8C7Jq9IzqGSEHoYEcCWjVmRCvZnJGkbXw+e/90fj5/erk6/P758PTP49XnXw9822mfUglP nSKk0nMnAudrXj0JR3q5PDZ9pU3FcXgb94olwDrCDQfFROHKMks1/7OEOGPrz2iZkU/MVvoR Qrn+K/BW0QUybpCrlJ5BWlKWYGIxoh057EcsKAtFFCVwmmImnLHjkFaNBaeMXOhAkxRb9DGY glcjHqjgDQoOPQwcaZGHFTBaSaQ+sJzBZSi7Yo6BlE3BmUxrvseB4bpHIymbJAg3QGi1MeM3 IYrn80XLwaOCA0zcSOJhDpMZzfxN6aMF+a7UHAtChN6OW9BYZ6GUA75ZefZXSju+1fVRsO8A 2/IiwGscvEXB6lWVCVxyY5B0CLv2xdq/wGcCd6Jo7QeDLVaAo7StB0QSKUgdDbzrxEIlmxNE Na0tRNkkG2TCkPSDH8QWuOKYbuD26Nr+ICPObkIgSqTtCeFvUgxXkBhyZjGCcJDPLnJBE3F0 SnxMxDkGT/K54HuMTXBs+CG04GwdbNBW6MUYf0tjCSUYpU4XBWv7E3GgLaEAHFCOXct/+Tb7 TfoG08ua1Wt8p4sf0FGww2WirXu4LqyOoe0Ko+PGvbc18iDk58Pd118/4db/8/nbw9Xzz4eH +y9aXkucwlim5WNsK2BtUfCdWT2kR2VpGyM2iYNRHDrnkrViEZanYbrGIfr4+H/laf3H5o/t FNTi17/dwVOgtBGy0qbY2iQjIy61pXdTBDEHP4oVS0QkM9XNtVSG0zxhh6xiXwsV2UVo04dg zffWJ30+3w/3eqAt/TCJ/Pjr6fz4l767OpQZdmBM1WxhEDqX3bIu47vWTGzllhcHY52zOceG fZMTMPeVY7eK8uKsIZoRCRdc9464zzXDEaO1OFhxIS0K6EFbY0ObKKYHC2qfJtwB9R5N2OlS gQmutWm5gGWs8gsViosvdoVwDey7CTzSuB3zTZlDbmmaZ+nQHG7tYvr5wQTVwt5MQC1t2ATs iWqmzt+hTQ7KkXdDV2E4bejzu+evDy/YQxcDM5Xe06xIoVYjWnV/gyu37LTna+oeX0Q+FDl2 2aDKuuGYVSkcpTfalqbxHY/RT9FGCTkrnaVIzU0pPcGasw1yrrU1GxwHn8mBi2g21+462SsK UtWnmQylqiFN5qn20VhUSXENYci5JF73inI9kGMGOL6lzxqi+p2k0x1w09ccX44l3873X+WN 6f+cn76qumQpM8CCTeB1Cz7qQvjUsAmh1DHlstQWQQW5W0VrFHegGzh7QsYysKQ0N5ILqsE0 sUpB1+HKR5sE1NqJWpn7nAkXl36ERjNVaJI0ybaeaUbNWPGKcEjwLAwKYZ6VtHplgDIcNs64 oGyYj48QHMP8Xy0cvIIW3la00vpUEX0bC7WJSO0OwxB4lpRB5EgAPOKHTeh49aMSDDnp3PIJ VNd15dh+TiOgDbdYlLGNBZPbvOqtkQHmgD5imrAVa7BCFcPfb014hrvzAd3ybxrDLVtHHhRt 2nAR3iTH0KEGTdLdG6g2m7fUtdm+Mgc4zXYXJcfA2OkqMx5iuSpptxhX8wfKtOMk1vWxQo6e WswU0HXDwzLPWm6c6E6v8cbT54cfj/dX7JwgQQS5qZxVkKM4n080f2M4OIlaeW5csNYOAk00 ykmTKPJcVZycEVkmqi7pgQmOC1sIB+QKIVYN5ZhaWNLdw1egVWLXKQoerH24DIkpjrILtp7v +DwSOZQlNzlfE76RlpvTbycG8/7t1Ae6N4idpFl34KSXRxWnzdvb5kbyW9vOw1S2jVP4wQXU 2KlLFJLBlyj+bHLJ10tE5T5P9vlFivIyCznJf/H9gDqr3ka92W5f1YhAhaZL1Gi2XDs5hwDI UVJeb00Qv00CBakUGAd/OcXuAmoRXyeF7ImDIvLDtRO1DZ2o6BJK7hMvNcppIBnHBaERNLaG cJM2oOHbzLvU5kTkv0ZE0uKVnomazCdXTnI5hd5KbOpQJ+Xx4uSVJHImuUez1v3fS2CIi4uH Ye/IE+pXDPnxSr16Ked0W9WwnS03K4XUse2UtHyyMGmEO55sizsLvvdafZIscJCpRBB9X92Y aUNndE+P2JZX3KrQyqkIluyijScQi2kF1YlMaL8tEP9fnVxbxq3EQeJ5eUnGYeXqZBHawITd Kdix6aTXQPQ47H2Io8Us1NqjA4FvmWinryPmACmKeoxXM761qlzxGuFr2jVSd20bXij0kUIR RwShuyDgw9BRMAo7s6RBcrhc9TG0WRbBWWiAgduVZ4F30A2MG0DvaFuZgx2cosgIR8tEx10M s7fihjW0AumbfRKCkp1/Pd0/2Ca3OLUeauX1hoTwPVucaYLH2mSgUbAONWh27BBoXKQIFGqA o5MFOO5T57PzBSz2lSZ8ynRlHbXDwVRSF5D01Uxwr14JIk1sE4zofdeVrcdF12iTnhq4UmU1 KdzYG2d19U1h1tSm1oDkhLHqltPlwFyVS8+3VezIlwfPu8CCqknK7TQYTPTG9Gddl5g9Jazc BRuLO+NXTeMTtAxKqdeVnoyccqFPpCsI2zq7BNftjDbFo7DAhFZc7tvM+nqV4BWkAyaNzbGx +w1lkNzJ4SwfiSrzedA0gLY8bkvh+qeONw4ym1hDsRsxEsc6i6fjAjw0N5q3dM8KLqvlBY4K j9HQNszN1O7akkRY5kzYYVQGSaldzp3hZde7sm7LO3A163BH7FxFV2I6MBvHx/lCse91wm8J HKIQ5L9ssTCNM1J/7T6CG6wbsg9wMiYCJ3WY7LBuKBrccU26hH9z/+KUnF0GNoVm2Rn6e/6S hBZxfdJcFXAMGDvC50xnhxbFNLcSxVM3XS2WDYxAcS2TNAnjRnWiq+wmTQxicQe0TD9I8HJ9 ly9xPf/7qJ0ySyiSM1ImyHr4fn55gJxo9iImczyPbsaZcUgJWdPP78+fkUqakmnmrgCI63AI oyRSMCOHBwBDRTpuWdrlFRIOeEtNrMxKZdVY0KxULjlI+HifTrEP9NHNUxliMtxQkcJPHm2f f/346+bx6UG5vy4RdXL1jv1+fnn4flVzO+PL48/3cKx9//jp8R57eAUrXVMOac1lUXdJy/PU 79/On6W/y+a5PAtOSHUkRoR7Nru4COtbx9MyQZXz2VkntNpjVzIkSTmTaKeySM9kl+EU//8r e7LmNnIe/4prnnarZiaWLB96yAPVh8RRX+5Dkv3SpbE1iWp8pGR5v2R//QIku5sHKHsfUo4A NG8CIInjkW4xlDM8AWgvxAhBRoBcgopDpFFUWZ4bXvUKV4yZ8/XQWLdNgwSZjkS7uNmmDlzF pTMrs8Pr9vHh9dnfyRnI8qqe6QNGfiSKyzbFl/iw2709bJ92Z7evB35rldwX8hFpb7ngK8DB yYtlUNN+/qS7o1S423RuMHAFzoqIHHGixCGviDpYEytacTzTOB6WXsmMWzmEFugQg65wJnEV FN0VgJ6TxK5SNOb2ffsEM2LP4/DAK7g1JvS9TSmPO8l2QAK1engFCa1m3GL7SRIEFhWwoYVF BaAitGAmT+u4GZIShGg2U0cOohgXDqxKrfZ0+9yEroOsEgI8sRCsKHXmSQ6nviuUYqPpSHcV QG/YNWYDpKCXhuY0wD0BjTQKRhmpavjZiKwwOKfA11O6HdOPmjGlY8lpBNRjnYaeUM2ZeoZl ekU+OWn4ke9D+rVTo/hwxKeedCEaxcfDNaXbUYKeiH4j3t4Fpt2PBKb5zLIPsPW4eWlEkujh tETWVvJwv9fp3OrGrlpRMDzmOHCsyRQ6CvFh7dIn6bxd5UnN5lEb5E2RGGePjuiCIhqGCcmo e7RGHEh7qSh44mb/tH/xyIgNB91r066CRucHxBdm3ff263hnF/gpLWooqxBGM3EZ3VKnoU0d iKdQ0Yvo5/Hh9UWpbZRCJslbtinoTBkKH1dsOtH9+RRc2ED9copTLndZfTGZUibYiixlm9Hk 8vraKRYQF5gC8pcLv76+ml44HxR1phKj2k2RjB6kp/A18LelrG+m1xeMKKFKLy9JM3WF7yJB mDppmnsCcXHPzUFWexIQp5E3igYc991X8/JWZDYjAzsnbczJqA8sxNMbfKu/+ctzOUxjgJiC Zwb36NDlLel9q9DlPRsJGu3SsIKldG5Wpr+GS4RT0eJGtoV+QrjPiqqdk52D8tBgslhwOKAz HkbGBYWIQ13eYiwf+kztDKj2bcGCpT07fbPRZAJ+1GWeWJxI4li98LxwKvymGp17juaCYBaV wIi8dXda+bMJRkMxfZYRhua6NgwDLvFbB1oEI4zS4PRGnJ68bZFnK/F4aAYRl+j+Us1G9Dop iSjCwIbbBmkKKjLqnRhK4UmbFlZWLpsoD9AU9xSFx/xYYmsuRHWeuaN3f5dR3Fzd73fmN8qG hkZeadmXi8UdWlW/CaEyCC4V5lDYs+pex4s7dbvsRKsxKa64SODYhlj+Cbqpv6T+uh4Ixu2p cmSPTjZJjognIJAkgA2AAzWTXTZRHPhJJkL0GK4biC02rB3fZCnsFpKnGDSqAA2VpsUFgu1R Lpm4tTnVJ+EwDBMlvqcilAqiXnULeGRXovQqMVPCxN1TCGiZVRGxcnQxOkdqYeRsTmVPMVEU /lmv+WJyfn1iLqSzOuDhR2AOl1DeRtNJW4wbc5ZYenU5gfNmGeox1tD4v2OtpnE2bLGCF9GF VT5v5ynHc6vxPGbuEq0/aDwekFFn0mBmyPlgZjueapik6COKFrvDP6+H5+0LqGHPry/74+vB ENBdi06Q9bzENPGEn3ZKhB5XL5oMBPsMdGL3rq33XeiUgywsc+taSILaGcdi8BKXvm+yXBZC pl3rZivjOC9+IhuMKxsoJDHXDukDOA/yurDplShqI7zNNd49TDx8SkyQpMEno67wYVbrZRvF dGw9IXduY7vGfkP6vusJsC6rh8gTZSOe7T7ITYM27dR1cK/ViFrtYlfxFWxsp+D+mtNpql13 tsJoRPOCfo2ogjG+D/o6LB6JZLvUYWSxPjsetg/7l2+Ubup7/ZFniXpBrjyiyK5+lNTDiOCv Np2XnQz3Y9AkwbhwlQ8bBS5/YWFEvQd3ZXTEncvH8BJnUQQr2sC8p0OFoLW1DZtIHUQN95Ie mYJCtcnHBFa6tRCdhDNldB8pPFGxqg/GIoy6A7ZZdBnNjbi3AhjGiQtpWdw4I4RwnyO/MTRp 4Rsc0OO7BQf/pS6FdXDPrtHhEvqzGdI1izSeP552P6n8PWmzaVk4v56O9dAmEliNJudG6jqE eyKRISpNzVcZquJ+V3H9bQx/tZov0rCZEp7SxxLcTiX8P8N0L4blWIMYcpdZ1wcymcoePRiF 5NRTEQWw6KJ2jSFpZSCogWmvQPcJWR21cYVe+pV+gwMgrmKa6Mfvsc8XCXAXJ3ATH66MONQL tXnwfzmobuULhD7ECLlt8toTEQc7mVccFkSQeClK2icPUXmGuYJkCCwv0ZqVtKEcIp1gDj12 HlfekQUm6CA71b0unVHoYB90tieD1REslaWFLz5YT1w2WVuxDOhErAe6wZLa31mJZxXMOz3a Q3VRjH5WPKablfHkxLjFY/+qwvYx6gU92uDzta4JdRAZ57LFLEnDJuFJ1CLYCOaRgpKGNit3 HjyUFWVBeVfUhgcqgLGvtXEQ7IEnxnOgmTUcmCZMEZ9nrG5K0okvrvoUV30RoQSR3ElgRGw7 o2HM/WR4t/LuQtbUeVx5uYFEe2etwRj1VJ9yGICE3bX6xA0wDBvOMZtWG5phrCkSlqyZSIeV JPn6ZFUt6uAbT3kbGDjRndNFpFHNMKVXb+63ffhu+nfHleDgtHGJpJbk4R+glH4JV6GQBIMg GPS2Kp/i4dwzuk0YO6iuHrpsGYMqr77ErP6S1b560wpofLWuTvi3ZjWxFjoJSFcrj3Zvu/fH 17N/jOZ0J0lQ++UyGQ6XCFp6FEmBXKV2RjwNrPxlMeEfdaoRlHjJVCe6ERwAC3wVSXPgpnlp oeBckoRllNlfYKBrjMGMT6x6QKFlVGax+a6p/6zTwuyyAHwgISTNhtU1fdpYNPOoTmbkfoTD inALjoyXYPlHSqyBv8Z8xcpuSrpTtzuDfdEYoAgZq/TWN7qVlxify89AWHgCF/s0jUjwarPR HUjF++Kmqf3CXw2gZKh3j+w80fqZH+V+1Q15yVK94fK3lGXogq4/xt02rFr4tunGXzl63W68 2kt6YiwKP+4220xOYq/82JKotNtGVW0EH5S/MUBWgopwkKcya4pNkNznOnLgAx160qO9tSLV IhiKebbQN5OxvwH3VR36sV6E3bEuFBjZh9whoy8Xqd585gu9g5+hN/pMfUAPQt/H3x53/zxt j7vfHMKsyhN3FdgmhAoc1yULSNkg8bCljJPeXbXyytgTW7h0NZ9ODkY1nN+WFtfrkBY/xd+r sfX7wriLExCb7+tIw5kfIdWa0bcjkrylrUxKDIiY+YR7LAImt0k0ZwGot6SxQUeE8i1KkMjq CB3CBKarLUAlzjVDJsHxrJ/YU2OgbLflqslK3U5W/m7n+u4FQBUJWLssZ5fGUpDkIa9EKGGe AWGD6WOzADMF0APTfeTV94OoWHi4PTfPgvhb6AoV6ZKPWAxvuB5aJmfDuIZAqnXElm2xxtwP dOoCQdUUmJvKj3d0CR3ZRWY2PxFQT2iAHi9UL8we5fEXFYQftC8PmV8z8G7aaeHZsXrcZ/gx sKT92+vNzeX0j9FvOhqqj4Q6OLnQbC8MzPWFkY/OxJERUQySm0vDI97CkUkSTJJLs0Ma5tqH uTr39OXGtAOzcPR0W0TUO5xFMvGO183Vx+N1deVt/NTb+OkFZVxjklz6RmVqpk0wcZPphy2+ npgFw3kPl1p74y11NL6kLeJsKsqWEWlEuF1z+rtaRzR4TLfxggZP6EIuafCV3dEOQfmj6/gp XfvowtM1T7NGVruWOb9pS7NsAWtMGIa6Bp2VZXb7RbDsKKk5/Zg4kGR11HgyDvdEZc5qKwO4 S3RX8iTh1Pt6RzJnUaJn1+vhZRQt7Y2BCDgbJ1ZmAZcma0j3KmN0ZJoj59u6KZeczBiHFE0d G4kcwoR+1GoyHlipjIfkufrNunSz2D28H/bHX27obZRCen34uy2jW4yo3BI3OZ0qGZUVB80u q/GLEs6TnjOgKpJ6ZsF8XlHotEDdNSoMWSog2nCBWcZllkTS7hMVBHERCUdeYSRTl9x8sehI aLVGIUl5GeeluGWs8qbUE+Oi7sIDcfmIOeZlivkP0G3B6sXX3768/b1/+fL+tjs8vz7u/vi+ e/qxO/RCt4uIPPRKj7mfVOnX39Bx6/H1Py+//9o+b39/et0+/ti//P62/WcHDd8//r5/Oe6+ 4SL4Ta6J5e7wsnsSaex3L/j+OawNLSPS2f5lf9xvn/b/u0WsHj2Ho9ETmq9luR5NSiDQVAs0 taBvuBlcR1LgY6FJoPkgkJV3aH/be5NYe8X37zB5Ka8TNJVYLLi8v9M8/PpxfD17eD3szl4P Z3ImtIg4ghi6N2eF7iyvg8cuPGIhCXRJq2XAi4Xh92oi3E8WRoh1DeiSlkYc7x5GEmqnb6vh 3pYwX+OXReFSL4vCngU458G52CUFhgrC3S1Xwc3wLBLlyW9jftifdrrMASbVPB6Nb9ImcRBZ k9BAt+mF+Ot0VPwJ3f439QJ4oHEukhg7p4K1OnjqFjZPmqhVfGZjBO6T+D4jjLyIfv/7af/w x7+7X2cPYhN8w6zLv5y1X1bM6WS4cAvX3Tt7GElYhkSRwOpW0fjycjTtXtTZ+/H77uW4f9ge d49n0YtoJWzvs//sj9/P2Nvb68NeoMLtces0OwhSd4CC1K13AXKPjc+LPLkbXejp3/t9O+cV rAsHUUW3fEWsxAjKA65nJAKUnnHC3RY5/pvb3Jk7fIGeWLWD1e6uCIilHAUzomlJSb0aKWQe U58U0DL/NxuiahDYwvPMLYthNsi6oZWcruFVRQzdYvv23TdyRvafjh0aaWq6xlKDvJKfy+ei /bfd29GtoQwuxtQelQhpc+QfI0FFjIaAY4B+4DgnRngj+L3dwVnCltHYXR8S7k4KVFaPzkMe u5uClCfe7ZCGE5cth5dE/1IOGyFK8K+/e2Ua4t5y5BGADePlHjy+dBkbgC/G5+4GXbCRUwQA sQgCfDkixPOCXbjlpgSsBv1mlrvitp6Xo6lb8Lq4FBHgpRKy//HdsBfqWY87kQBrzWzQGiLj Hy1GljUz7mhD+HA3IdZYvo45sTg6xHAl6axthlFzORm+s6PAM4d1panhqBWFcDJHg5JKxHDF tDheLtg9cyVoxZKKESupExKEDIiIUqKygMOSD95WVTRuLwkBXaXuJNSRKyvrdU7Oi4L7p6Uj gModFhu8Pv847N7eDMW/H1nxUuNUmNznDuxm4q725N5lGuKJxukuPqt0Gkq5fXl8fT7L3p// 3h3O5ruX3aE7lziLP6t4GxSgxp5YHuVs3qUDIjCkyJAYikEKDCWNEeEA/+I1pntHE/TijpgY 1F5bOEucuMS2CLvzwaeIrXHx0uEZxT+A2LZWhTrQD09P+78PWzjAHV7fj/sXQkQnfEbyMgGn OA8ilCTrvFAobWag8jcaieT21UrykdCoXjPtS6DaayiwLppiTgjvBC3o2fw++jo6RXKqek1g U+Nkq7mnB8wjJBdrd7VHKzz8r3mWWfGPBrwMSka+UjpU5gs2gT719jRQFyz0poXWyOaRc63m Ei14nLXX00tPSGutUh7kmyBKTohfJFMON6VplqF39dITTlwbchHaiXle6RzCOiSt7Rw6mHdn cQ1YI1mBg42CU1hcUecTRqxOpAl8AdQHkltWw7HzZnr5M/DE8jdpg4uNLwi5RXg1/hRdV/nK kySPqP6TpNCAFZXpUKcLIs/QybgYp/k70vF0XkeBI19cwj7yMzWZfVAgYtWyOMLVTyKF+1wV EQIWV0ia5HMetPNN4umkRnFi/7PqLk0jvPkVl8b4iu1qObvDER3lt8fdmwhm+rb/9rI9vh92 Zw/fdw//7l++GW4mMusKSJlgmfCqvwCnLRE/UXbX/RnPWHmHAeeyOu7kaeIVpJhO96ottNgv HaSdRVkAuktpvG+gpzEnlaEZh5MK5ofQtLnO0RMOMVlQ3LVxmaedUS1BkkSZB4vZPZqa6w/M HSrmWYgpX2AMoQnaOsjLUBdp8pKfJW4JmLaKm6lMO5QFruq0UJaPA1DYJsLyb2M8eSgPDm5e MgbAiUBT05dwMLoyKdxjNNRfN635lX3ix6N+l7LUs1UFSQJtnt1RsRUMgglROivX3owKgmLG vVVfTegaDbU90B7TQUvor0UGAu0gr+4tDNfDLMxTzzgoGtrMDKHoQmTD71FXAYXUPJvcS3XL glpGchqUKlm3mTOgpI0cUpPto+3iBJii39wj2P4t7nK1cVRQ4XZaUFcrioBjXmv3O1ZSvoED sl406Yz4DtNHnahtFvzlNNxMuTn0uJ3f6znGNMQMEGMSk9zrmbU1xObeQ5974BOXf4jnKzOp U4lx06o8yY0LCh2Kj5c3HhRU6EPBVzpLsT/TcazCmFMi+h/MTGmkL2bCB0r3lZUgkU7Y4IYI N9KSZ6JKmRoaePm8NrapyARf+LO7VvNEjpfGGoomZdUSEwiLR0ID05ZGa8JbnbUn+cz81TMH /REfTbO0MpP7tmbadxixA841WrlpgakEh9/olYy+hiC9tDFsgmqMAs1wgBE5mbp1sQqr3F0t 86jGmJp5HOozon/TXmiLOM7xzkfGnrSgNz/16RYgdMuAMZD+dv2Qw+5LdKnZGdoHyzUzQooD jzeGGzatZbuRz/5ic1qBkmPhkVNKyXF0FPN9udOgBPTHYf9y/PdsC18+Pu/evrkWCUL/kRFj DfVFgtEijn7Vk0aymPEtAWUm6d8ur70Utw2P6q+TfoXIVNhuCRPNngFNRFVTRLZvctDCu4xh tD2/Xgpq6SwHud1GZQm01DlYmgrCvxX631dyMNSIe0exv7bbP+3+OO6flZr5JkgfJPygjblm dSEeQdMGr2DRxY6yeiihpcJl8OvofNyPGy6RAkM2Y6+MMCssFIUCSttMEUYKQmckWKv6Bs0L mHLM9MzRcdHYgHIo4KyAeiB6VKSsDgwOZeNEK9EF0jNBosA4L4NI2Ypi3OGioXX4zw6nTLGH d5L7h275h7u/3799QxMF/vJ2PLw/716OuhcwwzMMHCn0UEYasDePkPPz9fzniKICzZvr+rHq X2XxMMEilvPQkOX4m5jsXjduZhVTXpQ4O8acCZz1s0VHsoTPsxQvvHsccg9Fr3kqf2q0zF5J 22pDPAm4HZ1LN2Lpy9XYDG71aFNHWWW4NcrCENtJNKueHtXtmZOeAVhLvs5IliWQRc6r3Fzu JhzHU/qweinuozKnG4ouqV7eUuYhq5lUyaz+g0SIjDdkAzxIZKfSjgJte05svY5MBKKm7qFM MnQn8NdVBo1gK5+oD/Z5ILKzOL7qJLk5w8NNrNhNajmCwpUAC3Gb12FONEvaTzUodmgxAaw4 VFQRHJZ9nFmWtkrdRqxS8ZxtG/LZNOWM/LSYw5FpTs1Pzx4ULS/rhhG7UiG8dcs4d8IkzNmD kiej5uosxAWfLyxNt58RMVzosxon+doRIjQyENdg7ZIhA3MeBSRY6rEjx0htYC7O9C4w9JvN kwT9Wf764+33s+T14d/3H1KeLLYv3wyZXDAMaAdSLc8L0k1Lx2N0hAYEhIkUSmlTD2C8Am/w JqSGBa4fbqo8rl2kofiA4shSnVDUQV0oeYntVi5YGVq14rzH+sQ6FANyqEgjExV9hkY1ZqRP G9bQLjATQg3HF3JTrm9BuwAdI8zpO7/T8yvtcUGNeHxH3YGQTHLTd/4lBlC9tOkw4S6j64ZU 2fbCxGWxjKLCubY0NyDw8LRwAz9hpzRR/V9vP/YvaMcE/X1+P+5+7uA/u+PDn3/++d9Dr0Q0 AlGuyFE+HH40DR/2ZRd+gGyWKAM77BdpeI1XR5vI4RhaohqTAdHk67XEtBXwCWGh67C2cl1F qV92icZap2Lpxlq4ZSmEtzDMYozaXhJFhd1UNWLyCVgJ5sqss4Vdg/EVrOuXoZPDCXs41f0/ ZrlX8oQrGzA9ITb021dgnQI5wISGDuPTNhmaTMDqlreBhCCV4tjDSP+VquPj9rg9Q53xAW/X DT6qhomT14tqqSPWWTLOEUTEkOCgsRisERWGrBW6VJCXZSMCZZxgDZ4W2w0OShiVrAbF3s1z ACoPxTqsaR7uWUFDQrbqMyFFPL1EEINCWBzWenEyHhlfmhOLoOhW95DrkkUYjbb22606jpVC 6LuLQIYzAYUdb/E9l9bQzgUw+0TKeeFGLCL8ET3Gm+AsuKtzbTsJm4dhqboXNFleyM6WluIR N5k8f57GzktWLGia7sogtgaTQLZrXi/w7so+3lFkKkoIXpvY5IosFcowlIfPLhYJxoEQ846U cN7IaqcQNGC5s4CBKk0WrZ0BRc8xCLO9ZmRTApNBi5unWRPH+mhFK7SXQnrjzIQzjYujgl4H 7hhrRSkXUnQR1g5UUtThtSHZV6e+7mrPrkgREpd7Vo+9S8a3WjQ52bdVDAYZpKu8BdUr9n+t MCdOHScIFmvYPqcI1NJSy4f2/hFLocpAuYc966yRDtGfAsz5moGsgGkGlUHELFIeKLoqIeAs A47N0JdIfkCaPMjjlTtSs2Qpn8nz1udR34jEdWoatNYVsQPrNqcNp0vwsYOPOcEnmMAwTd1S U+NFZ6ojuYQz1TUD8VE4Aqanwxh1vmHsNo35RoFv63XJ53Mpbw1OIbkAz/6ygtANm3d4BKfk ncYOyMdyncDXNXc7ihthR/h2LWYJdlBERaDvikD/5WHU5ouAjy6mE/HsggdjepMyDEj9wdFc hj9VXvNmEiHpDqdoHP3i580VqV8Y+p3L5DY3V626rhbnrsaMx8fKRNk3UJOCHxe18I23wxcN KOK7KOZtMa+FV72jxhvxrsK8mSXesBzqaJTM4qTRrTuFSOuXL3Vy4bma+vONJ6mHRhFR5pQ9 vhF/yMKRyZ04rcmnCTzoeizACnbiQUKWIYS5d2iylOs3f9rcqPtmU28rGvTzw5PLiXqbbC1D A8vHBbF1ST7UE86bLqaNUivNtaq/PdW7tyOeXfD0Hbz+z+6w/bbTDwbLJqPdeJWaj68zeanY jHFLXKQ0keERHdUoPkg6WmqKm/6+NopvAQ8GFVywGMEwpenycEBehp4guOL6XZgrVbknjKEg 8WJng1oMS8DP58sZuj14Dxr607Z9gyymHtkkWcKwruQdrqcGeVK+mpB31KKLi2hjcxJrDOSb p3SbI5UXRVUFhRHxXMCXgKjJdIcCrcy7ng2geqK1iwIwrJyEvtiWDyoNP4HdCAsBP767B/VT lGixU+MluJ/Ga58usDykIyvKwRBP0b6hSpapNU6rVF6omFBxbhNRCa1RLZxxRqO9RS6u9FdG 7GA0RYPhPqk1iCJiXqZrVkZWySpinj2DjfNIbC4h4Q8uPODN4pZpHjqFgaAOQO+mZGBXHN4E cXfJw5e2ItGpZVFqsvPFHSz6VcdhdD57kqk6ntmmbaO47El5VeHGCvOgSZW++3/et1ebDPAB AA== --ytklc46uneqlwxdy--