Received: by 2002:a05:6a10:6744:0:0:0:0 with SMTP id w4csp767019pxu; Wed, 7 Oct 2020 15:43:04 -0700 (PDT) X-Google-Smtp-Source: ABdhPJxtzWDLa5X85wvjFMiweT6zP18MPTpu/BwF/A6AK7kxFAIOmRVzai/bTb+qvtzAMk1XJru3 X-Received: by 2002:a17:906:c35a:: with SMTP id ci26mr3905522ejb.98.1602110584420; Wed, 07 Oct 2020 15:43:04 -0700 (PDT) ARC-Seal: i=1; a=rsa-sha256; t=1602110584; cv=none; d=google.com; s=arc-20160816; b=PhHfosGxBeWdE/CN2InqFcjHIviL+uYb1mlWXseNeP7MG+fopUWxxvYNmAiZ4t8fYK S1klpDiEaf4zEJf8rS/sOENZfH0Y+p5Ws+ST7LeJDgSDHK6i5KFDDSuRzcfwRJ/hOuU3 upzjAWFX/68rGmQVcCEySPbiYDEW7IXRc0Ov+cHIthaH4e0turpRnrDQ3p9sni0qxgNx mPAEc1VkPv+zgZlp29L4whQhnuVio+9cgn3yiy76LPOQw89xa6NorrHiNs/gsae4hhVK Xmf4KES7cYbgg/3WatKMGOnR29JdRbOUI/jEx+l7VdGjrffZuhbsb+78iGlxNSUUWePi COMA== ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=arc-20160816; h=list-id:precedence:user-agent:in-reply-to:content-disposition :mime-version:references:message-id:subject:cc:to:from:date :ironport-sdr:ironport-sdr; bh=UyNtG0N7tly5oMBM8/ZENcxMyMAxlu2hOr75vakm4Lg=; b=haP2+Ykr/aUgP4RdzbCNbFgzI575Vm9moxp1G7K0q8q4NgaW8UoI175H7IeKu+faXi +so1/CXCJyhOkI8ZIVqpEMkeuNhyAgU1HA4Yojpf48NIFVpqjgz6MYsrxI6ohQp0ZPl5 esfexlZQtsBNbIUsAqwDP4aS6oOh3/jeoc+IBMXvgoW06zETCCQSGChE3o0Tffs3M6Sc BHjIpHkX3p0E+YbQMreqt/MJCm6pIm5wZ01A/ucjSkUg6acdjZkT7wGOtWcnvfAIAmuG tTADOkpXMu9ECLFxSgBKL2zAdbAIbkYZB3lJyNjROt8yfGm0qFoS3gRNk0EZ0oAnMHfz gqWA== ARC-Authentication-Results: i=1; mx.google.com; spf=pass (google.com: domain of linux-nfs-owner@vger.kernel.org designates 23.128.96.18 as permitted sender) smtp.mailfrom=linux-nfs-owner@vger.kernel.org; dmarc=fail (p=NONE sp=NONE dis=NONE) header.from=intel.com Return-Path: Received: from vger.kernel.org (vger.kernel.org. [23.128.96.18]) by mx.google.com with ESMTP id p60si1997082edd.331.2020.10.07.15.42.35; Wed, 07 Oct 2020 15:43:04 -0700 (PDT) Received-SPF: pass (google.com: domain of linux-nfs-owner@vger.kernel.org designates 23.128.96.18 as permitted sender) client-ip=23.128.96.18; Authentication-Results: mx.google.com; spf=pass (google.com: domain of linux-nfs-owner@vger.kernel.org designates 23.128.96.18 as permitted sender) smtp.mailfrom=linux-nfs-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 S1728850AbgJGWlN (ORCPT + 99 others); Wed, 7 Oct 2020 18:41:13 -0400 Received: from mga11.intel.com ([192.55.52.93]:56054 "EHLO mga11.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1728339AbgJGWlN (ORCPT ); Wed, 7 Oct 2020 18:41:13 -0400 IronPort-SDR: DeRW0H1Qb8CxEKtVaQAtdM+2r5KIv+RuRBZ1DLI+5HgQYF436izq65Rh931YYmQ04wIDFKJshp My/248MyUQFA== X-IronPort-AV: E=McAfee;i="6000,8403,9767"; a="161728243" X-IronPort-AV: E=Sophos;i="5.77,348,1596524400"; d="gz'50?scan'50,208,50";a="161728243" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from orsmga003.jf.intel.com ([10.7.209.27]) by fmsmga102.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 07 Oct 2020 15:41:11 -0700 IronPort-SDR: Iddnghg98Ghh5O8u5Qb9u462RVE+PUccOeSYJL0hxqGN5YoXkYWZFDTmKiGvHFuNuh4RRfm815 oBorO90rU6+w== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.77,348,1596524400"; d="gz'50?scan'50,208,50";a="311965720" Received: from lkp-server02.sh.intel.com (HELO b5ae2f167493) ([10.239.97.151]) by orsmga003.jf.intel.com with ESMTP; 07 Oct 2020 15:41:09 -0700 Received: from kbuild by b5ae2f167493 with local (Exim 4.92) (envelope-from ) id 1kQI7Q-0001r7-CE; Wed, 07 Oct 2020 22:41:08 +0000 Date: Thu, 8 Oct 2020 06:40:55 +0800 From: kernel test robot To: trondmy@kernel.org, Anna Schumaker Cc: kbuild-all@lists.01.org, linux-nfs@vger.kernel.org Subject: Re: [PATCH 2/2] NFSv4: Use the net namespace uniquifier if it is set Message-ID: <202010080658.utCvACPj-lkp@intel.com> References: <20201007210720.537880-3-trondmy@kernel.org> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="DocE+STaALJfprDB" Content-Disposition: inline In-Reply-To: <20201007210720.537880-3-trondmy@kernel.org> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-nfs@vger.kernel.org --DocE+STaALJfprDB Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi, I love your patch! Perhaps something to improve: [auto build test WARNING on nfs/linux-next] [also build test WARNING on v5.9-rc8 next-20201007] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/trondmy-kernel-org/Give-containers-a-unique-client-id/20201008-050958 base: git://git.linux-nfs.org/projects/trondmy/linux-nfs.git linux-next config: s390-randconfig-s032-20201008 (attached as .config) compiler: s390-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.2-218-gc0e96d6d-dirty # https://github.com/0day-ci/linux/commit/440cb74f8b835271bd5e1f6574dc9cb002cec5be git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review trondmy-kernel-org/Give-containers-a-unique-client-id/20201008-050958 git checkout 440cb74f8b835271bd5e1f6574dc9cb002cec5be # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=s390 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot echo echo "sparse warnings: (new ones prefixed by >>)" echo >> fs/nfs/nfs4proc.c:6022:22: sparse: sparse: incompatible types in comparison expression (different address spaces): >> fs/nfs/nfs4proc.c:6022:22: sparse: char const [noderef] __rcu * >> fs/nfs/nfs4proc.c:6022:22: sparse: char const * vim +6022 fs/nfs/nfs4proc.c 6009 6010 static size_t 6011 nfs4_get_uniquifier(struct nfs_client *clp, char *buf, size_t buflen) 6012 { 6013 struct nfs_net *nn = net_generic(clp->cl_net, nfs_net_id); 6014 struct nfs_netns_client *nn_clp = nn->nfs_client; 6015 const char *id; 6016 size_t len; 6017 6018 buf[0] = '\0'; 6019 6020 if (nn_clp) { 6021 rcu_read_lock(); > 6022 id = rcu_dereference(nn_clp->identifier); 6023 if (id && *id != '\0') 6024 len = strlcpy(buf, id, buflen); 6025 rcu_read_unlock(); 6026 if (len) 6027 return len; 6028 } 6029 6030 if (nfs4_client_id_uniquifier[0] != '\0') 6031 return strlcpy(buf, nfs4_client_id_uniquifier, buflen); 6032 return 0; 6033 } 6034 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --DocE+STaALJfprDB Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICN06fl8AAy5jb25maWcAnDxbb+M2s+/9FcYWOGgftnWcSzc4yAMtURZrSdSSlB3nRcgm 3q3xZZM9ttN2z68/M6QupEQ6i1Ogi4gzJIfD4dw49M8//Twhr8eXr/fH3cP909P3yZft83Z/ f9w+Tj7vnrb/PYn5pOBqQmOmfgPkbPf8+u/vh/Pr6eTyt+vfpu/3D5eT5Xb/vH2aRC/Pn3df XqH37uX5p59/iniRsEUdRfWKCsl4USt6q27eYe/3TzjQ+y8PD5NfFlH06+T6t/Pfpu+sPkzW ALj53jYt+nFurqfn02kLyOKufXZ+MdX/deNkpFh04Kk1fEpkTWReL7ji/SQWgBUZK6gF4oVU oooUF7JvZeJjveZi2bfMK5bFiuW0VmSe0VpyoXqoSgUlMQyecPgHUCR2BWb9PFlozj9NDtvj 67eefaxgqqbFqiYC1spypm7OZ4DekZWXDKZRVKrJ7jB5fjniCB1zeESydv3v3vmaa1LZLND0 15JkysJPyYrWSyoKmtWLO1b26DZkDpCZH5Td5cQPub0L9eAhwIUfUBXIDEGlpDFgdCyy6LY5 NIRr6j0sdFcw7HV7d2pMWMRp8MUpsL0gD2ExTUiVKS0h1l61zSmXqiA5vXn3y/PL8/bXd/34 ciNXrIy8c5dcsts6/1jRinoR1kRFaR2GR4JLWec052JTE6VIlHqIryTN2NxmKKlAx3gw9RYT AXNqDKAdZDdrTw0cwMnh9dPh++G4/dqfmgUtqGCRPp+s+JNGCg/Adx84Sm15xpaY54QVvrY6 ZVQgLZvxWLlkiBkEjIaVJRGS+vtofDqvFonUPNo+P05ePg9WO+yktc6qZ9AAHMGpX9IVLZRs uad2X7f7g4+B6V1dQi8es8jepIIjhMWZf+812AtJ2SKtQZQ1kUK6OM3qRtS0xMAZoHmpYHit kXtZbdpXPKsKRcTGL9EGyyNabf+IQ/eWJ1FZ/a7uD/+ZHIGcyT2QdjjeHw+T+4eHl9fn4+75 S8+lFRPQu6xqEukxWLHo+e4B1gVRbOWsYS5joINHcMoRUXmXgHZCKqKkbxGS9XPCR6cAYibR AsW2AP3A4jqDB5QzyTPSHB3NHBFVEzmWFgWMrAFmLww+a3oLQuTjvDTIdvdBE65Yj9GIrwc0 aqpi6mtXgkQDAA4MDM0yNKC5rRoQUlAKJpAuonnGpLL5566/UxBL84elMpadiHHnALFlCg7A 4AR0VhnNb1LLlCXqZja123E3cnJrwc9mvRizQi3BZid0MMbZudk2+fDX9vH1abuffN7eH1/3 24NubhblgbZDa70rq7IEL0bWRZWTek7AqYocSW/cJqDibPbBal4IXpWWt1SSBTWHjQqbKWAs ooWHIWaAWkapluKmNSFM1F5IlEggr4jXLFapI4vK7hCeqWSxHNJfi9j2XZrGBET2Tq/CbU+r BVXZ3GovwdQpmwkgEThRAxmNENMVi+ioGbBRPYza4YAl9lK7UcB4+HU0+ARgekDh+PiQ0mhZ cthJVNbg61qEaN5pb1FPYU8KNgdYH1NQqBFRLof7TaAZ2XjmnGdLXLT2Y4S1m/qb5DCw5JUA lvQ+johbN7QfPR57cDYQ/bcQLODE6V5+B06DLjyLAcCdVNYq5pyjgXHVAxwYXoIlZHe0TrjQ m8hFDufKsQ1DNAl/+JQpWHxlGXztMVUsPruyNk/jgEKOaKl0LIZK0SKzTPoPo7b778FYOVgX BrJrSb8Eqc9B2da99zEQjgbgIT9J4chmrmHXTujYVXAUnn2ktAIscssSgvg7ZpaAq5VUfgIq CEwt/YKfcEIHDDXNUV7eRqm1lbTktrMl2aIgWWIJgF6F3aBdMLtBpqAAHVeYcQ+ZjNeVMHq3 x4xXDBbWMNfHKxh6ToRg9m4tEXeTy3FL7XiOXavmHp7fkfdSJid2VluPNQFl0vokiP8ns0UL xEiDEidmA8f4o2dAWAuNY1vl663B41N3nm0rFNgIw9erHKjjlgNRRmfTi9ajaZIX5Xb/+WX/ 9f75YTuhf2+fwSciYB0j9IrAKe1dHe9cWtv6Zuxs7A9O0/mOuZmjtZa2VYKYkAAn7aSDzIgT S8msmnv1lsx4CEDmICsCDHSzV2E0tH3oGNUCDi7PfwAxJSIGN85neWVaJUlGjW+g2UbA7Djm MmGZ425o1aWNlBMcuQmUTv5zy+27gwCids05+FVzlKwiZsRyAzFWAnvW+j4WqyGgXRqPcgRr I610TSHc8QCMUho3dmer1sty9tt1wRpJA2YNhFoHxxq5b4NwjHHsB65jacs/g/idiWVwlgq4 PqeOfpCkgL0iMV/XPEnQcZn+ez7t/uvYc349HboMPAfKEjDl3fIsWhYmTZaBuGfy5tI51xlw pMR0Q3tYy/3Lw/ZweNlPjt+/mfjFcmjtrrle0N31dFonlKhK2KtxMK7fxKjPptdv4Jy9NcjZ 9dUbGDQ6m701yPlbCBc2Qu9fd8zwntWeEyfByIZTCGcnuwMDToFx9Se7n/tsW7tqz2LPLsMd zI6qys0m4PdJ5acRglxsoC4TXRhOO5oxxLcGGGCbgQa51nQ+PwX05x4boI97Vxdz23QbQ2Qd 9tzSMYXQ8c3N1UUnp1yVWaU1rmOqtIpQoKYgdPWFB+kdsG1qd4GW2aWfaQA6D+yPGce3O+nd zVmvwZb0ljohu5aZsanr0HWutuBza/XgQPPm+qAbpm1D9eklsEPAEMvn/LRwdGOthAXVNhO1 qONBaYIxckDnzZtvO6VNtbrNt19f9t+HNxLGVOjkJTiXYDmbqf3g5kAN4KZTmyVuROMtHAF/ rYYzNViyzMDIlHlclwpttxWtEHDm041EYkB+5c3FlRVogDE3Jj0UDBvowP7Xiwo8mpvZpTXU moiijjcQXoNNHw3ZMd3hqUlh/859GdiPMbNuQNBmw5lKqkKnsuXN2exDbwEk2HkTQ3SkywiP lm2KYfmVYxYoiXNE8tLpUqUJjV+/foO2b99e9keTKm0mE0SmdVzlpXckp5t18GmEGsTH92g9 dPALqlh809Cx2u2Pr/dPu/8d3DSC06JopECdYOq1Ihm708lL2C3apPFazLCSj3LfKSdlmcVw yPRhsiSwbUbmfx21culphKWAo2Who8tUp5sSguRkaNeXK2tT3VXZ6wE0n2uNA/drb7ZjwD2T H9w+fT5uD0fLi9Kdq2LNCkyFZgleMALNfdKw6+LcXt7vH/7aHbcPqEXeP26/ATZEOZOXbziZ NbyRmchJMGnNO2jjxv+nA76Mm5dDl/VPkMcaohDqJiMUMC+CqTayW1bo0okmCYsYRmEVxPQQ 2GP6K8JM/UAHYcyH96aKFfVcrm1feymoGlJmdtbf+gZ6DdKcDFI3TXbCKIaaCsGF785Lozkp kv5mTY+Ycr4cACFUwtyVYouKVxZJbegCJl9fBjX32gO2oF5KIJ5gyaZN4Y0RIJJoVPwAiHkD 2SlUpZNL+gJ+uACZ1zmPm9vsId8EXciaoAxrvW22Dw7jkA2YcPBlFbC/rx3zFs2YqPh8THUE 8ATUTqz0QWu9ICqFOUx4hJG0F4zXFW+gQBRo/hpx3wiEuTgYJbY0uGk1BQMBWMyrsQOgsz6s jGpzydmWIHiQmnzGD+HyLLbwfWxtrEoNysGJMzXGyeu6XiJhqVSn5zF19/YQeBoCh6pAPwgV CF4LYNDuJZkneFkn1GYABaluvSkascS+AwNQlYE6QM0DWkyLkGcpGtQ6gqOTkTHjOnUZDct/ yDBTMgcAuDWxtKo6cAskW8gKiCri8xGADNROs12noecz8MxqD7v1SlY5KTs3rNPkfWso86g3 U4GeUq2XLtZWnvcEaNjdsNvb3QdCB9TO3w3tBY5sXOdIbMru5nkR8dX7T/eH7ePkPyZd+G3/ 8nn3ZK6cu4UjWkP1qZVrtMZM1m1Kvk2VnZjJ4T9WXaFrzgrHc7SavS7fD3oDXQgDbMTsum31 dMpZYiL15mwg9U60b9gPZibCy0/iSzE2OFWB8GBnA/bnIHrzEoLjOFJEXU2Vmw8fYTL/3VwD bst+TuFg+m9d50xKU1fQXOrVLNcpPF/JTQHaAk7hJp/zTI51ib6Fz8AJcO/25ijNvksYgu6s JdmyOBvIuamhA/WFpW5i48ZlIYx6np5AemOMHxvArbkJokgyijZtNBSYk8QYhNPkNDinCeqR RpeyNq4uLTzJZ43xA+AgzT1GkGIHJcxCjXaKhRbCaXLeYuEA6SQL14IpepqHBuVH4EGyLZQg 1S5OmI8G7xQjbYw3SHqLlUOsES+r4s0T0l0yEMXRsxe5Fe1rM2A6gxbl68L24cRagtEMADVJ AVhvzs1VJawDwnEboy/n0JaW/rt9eD3ef3ra6jLoib6zs6PjOSuSXKF/NfJlfCBNQA/QUajF NWhyo94GVUaClWrUDEo/0qF4N7GgwexLaCl2gi+/f77/sv3qDdS7TJ7l+fS5v1tMylEfaAX/ oIc2TA+OMIZOL821xdE5u3oMT4hU9aKymkNJRLe9mdgx/y5Ce0fNtQT7be8gF+lLuphEpE5C mhT4xYCgOZpuN3/TNBkR0i6yLy3WAa20IN6aCooHyglmcrYQZICK/CRxDCFll8nvE0jSl0Bq OaI3Moejhd1vLqbXVy3G6RjHBwXHZU02jg/nRctNaYOPDxklRUSi1K2Vcct7epZ746u7kvPM PkN388rv+92dJxC7+EHS3PP7OUeFQG9LpyzMPulCbbsWMG7vvTH6WsIG+twsKjDc1NWfVgKm Kus5hA9pToQTFWljBxK8qVVa6qKhxOcLdhqxVNSEl8QJEMKKoR2hoF3cUmyP/7zs/wPBg6U+ nBQ79eXYwFZYMRN+YZLaXoxuixnxO8sq8zvIt4nIdX7GX/5GMeTzXTSxKlpZKjvR312WlpkF 95tXmjqoiEh/IhkQQISxpCuuBQe7JnxzlnVZ2OXn+ruO06gcTIbNWEvmf8PQIAgi/HBcNSsD DyAMcCHw9jOvbj1kGgy8GywG6dQNKi2+ZNS/F6bjSrEgNOHVKVg/rX8C3JaapGEYhEVhICsD VxAa2i3XbkRxHDSpqGyb3eGruAyLr8YQZP0GBkJhX0CPcH95O84Ofy46afPdP7c4UTW300it gm/hN+8eXj/tHt65o+fx5SBg7aRudeWK6eqqkXWsrfdfc2okU9YoMRUfB4JuXP3Vqa29Orm3 V57NdWnIWem/W9fQgczaIDlQ401bfSV8vNfgIgafrS54TNWmpKPeRtJOkIqapsyaN2WBk6AR NffDcEkXV3W2fms+jQa2xf9EyGxzmZ0eKC9BdsKQelnhyza8fwmqDnxZhxldNHInccC30dlD sJJ5ObCjNrLJCnuh8/IEEJRQHAVWw7CqPKCWRexfmwq9viLKX06XzQIzzAWLF/4NX2WkqD9M Z2cfveCYRgX1m64si/xlJUSRzL8Tt7NL/1Ck9BcclikPTX+V8XVJCj+3KaW4pkt/9Yq+XB3W +PdLjuaeAxoXEovdOT6ItF3COWwGQZ935R2Ml7RYyTVTwwv0lv0Sn1uFhRuCjGVY9+dlwODh CgvpnzKVYZ/HUBpT/2IQIzsHp1ui7g5hfRQqPEERSZ/GFPYDEJHoR062Ub0tnVigeb6AA5aC +YvvLZwoI1Iyn9rV1hXfy8hN7ZZozz9aH9rNwEyqeVrrerQTvOAeZN81ZUu1oH751CZbcDCa HNQbH7Cr8a5Hww8AtidtLTtwJEgCCxUhhZLUy8ivU9YsJ7deiEiWzFvQjau7Ll3uXZf6UkwX qzhsuD71CiUizO8eRLRMYTP8SqNIAo9WJej90JtE9PMSP8xnwFqtIEG6miCzDboEB/KyzBHY hLCMr7zOPVWpgjCzPeytcMXbv3cP20m83/3tVJaby+XIfs03+GiekDrzQ7MO/0HQfdEjQIks c2cY3WIVZjljaVjJ11RgztHPbQcNE3o/hNy/cQkiQjjqy0Pg0nM54MXoWa090gnJQ6hUgfp4 BDLu134IA50UhpGBJur1cpNhAiwbbkqaoe3h5fm4f3nCF3iPnVQ4YycK/j0LVDYiAr72bssy wuy9xUr62xEN8faw+/K8vt9vNTnRC/whx3Veeoh4XZcZMc/Lg9SAJ8YLr+o7NZVJSb58Ag7s nhC8HZPS5ifCWIbi+8ctvrHQ4J69B1/5ml5WRGIKkvkDa/vzj9kZ9aC0L2zfnLkrv/TvfCcV 9Pnx28vueUgrPlXQZfTe6Z2O3VCHf3bHh79+QM7kunEUFI2C44dH689nhPWRX+3B84j5MnSI aOoSG2rfP9zvHyef9rvHL1uHvg0tVOAJHylZ7DoLfVHa7qFRtRM+zG1X5o4+pZlzGeA0w7FW qfPzCiuVl4mjg9s2MPrVcF8aFIhMiphgVYVPvwkzY8JEvibCFJPFLUuS3f7rP3hgnl5AtvY9 +cla33g79xhtk84rxvgU2LpmuFWCdJNYa+p76bKmIT+8YDB8WTZ3SmN7vPYC204pDpfR9mre h626awybs+aW24YGYhl8FRMLtgoEcA0CXYlA9GwQMBpthqmDGX6wZR+5tOJXK+GN/YncFFE7 ii7b67OIplMLo4PuciOxEJSKFZP2G6juFxyw7qhS3AzqBa+qDD7IHBS9YnY9haAL5zLFfNds FvXUNW15blcet4j2nSDWBcqUCCNhifuaG4GJVqa6qMirRgInU8v7/PUwedQ+knVU85Tp8mWr AtXGs/xHDg5dNPC8W0YV0qrIxa8aBBpT325jjq/pfQDJROKHVPPbHtBHccr7wy3KSsFx5/U2 TzDprQJVqQBNwD4pp9IPGpd8/qfT0FRNOm14d+OUrkKbs6nwXdjv0XnShsVOGzq7Gdk4DhcR 6IKO9G+xyqnPejvtxurvDg/jTZe0gHMgIRyQ59lqOoutcur4cnZ5W4MlVDbDrWYUbR/zqzzf 6IXb1ikFJRR4yahYkmvt489HRPL6fCYvpmdeMByDjMsKVLrEUx0FtE8K5yvzvfkgZSyvP0xn JJM2vUxms+vp1PcmyoBmU6u+vOGiAsjlpQcwT8/++GNqj99C9PTXU9+VQJpHV+eXM7tXLM+u PvgTR1IQP3dth2b0I1Z9dkn7rbWMk6Fb0g6zKknBfPsdzfQbzebpAKWgO3PLC2z3SbfXRM0u ev40jRldkGhjL7QBQPh89eEPf96rQbk+j26vPFQ1YBar+sN1WlJ5O5qWUvD3L2yFNyDe0nnz P86mIxk1v/Cz/ff+MGHPh+P+9at+b3z4C4zw4+S4v38+4DiTp93zdvIIB3D3Df+0XS6FoZJX gf8/xvWd6sb+6DnJ03G7v58k5YJMPrfOwuPLP8/oMEy+vuBPlEx+2W//53W338Lcs+hX61ES 5m4Julll1g7Ino/bpwnowcl/TfbbJ/2rdh7/f8XLehA9969gTgzRjwAGeP3Rrx9olPqTWFjE AVRH+OsPkT+o1ChCydsgRkrmpCA18SXe8OdCqHOna+tY8+wDU3amZXwkEIi1gfYQvg5WKqSS g8oFsw2U0snZ+fXF5BfwAbdr+P/X8XTgltI1/G+fs7at5mmAAR1GKJfcI3C58W/xKfKsRJf5 XRbLfur8oynb6XPGvIhD9w/a8gQyceBk4Ysyvwh91I9+TtxnKxrQrjmJ8BYgdIsTAq1uQxB0 NQOJnjm4g1Xs988XgdsLoE8GNDqsC/4C98M/m/o/yq6kyW0cWf+VOr2YOfRrLuKiQx8okKLg IkgWSUmsuiiq7eqxY7xFuTzR8+8fEtwAMpP0O3gR8sNCIAEkEpmJM95AmX67qJFRYeiI3Jek IZT2SpNJclOeibleY1h/qvltyjB64HlhyFXQOnnci+XMd+VBybCEeSxPBWr8o2WK4qhsZi6q XRIsfxVw/EYBaWJybdLYrk3d+w+ZsoiB9R8zAivVGWdFjWkejaxNYto7yWPBbLfWTnxqIW9Q 0x+9UBE96eZNBsmw8pY/Q9u2b9SYlzByLhb6US9TTsK84RFeYcXwdBj7wlAVRE1GXa1luAgJ BJyLgUJ14tZonquiMuJZdim3/BCGqJO0lvlQyVP+jHMPO/xC7sAErBn4dDrkLd4ZjOKOhqdF jnu1Q2H4dYY8VjeJmJ9Q9IzYxDU/GPSDxvfmmDJLy9MrFFG+YNGFn82JfzrnoDiR330r8YsR HXLZhhxSvDN0TEVgMv5wnivUFsRZI5CvPCVZbV4L9Um3Bmf1kYyP8EjGWW0ib7ZMClZGu+ar EZJFWVgaMyZNBM/5uMDjez6+KWgFx+ZK3tkdZRwzStJz9RdKU0WZg1/M13K453cuy/IScc5U DKyJwRNns+3JUx88depIlXLLSzDdzeVGI0CvOV8AliWlRZGa8QtSVPemZTmdo2vC0fnFQ8dr W5yUN6YFW2Kjyx0kW3OcRegAUvwySaYTE5W3VBZJICoBClXcjmqZJFB5iGu4o7AtnJN4iq/J 78TGSImouiRmTDhxEdT6Ut8T9iz1/ePGJi1kLVFeGHwssnZ3Iy7rJc2jVTuSWl9XycfrRns4 q0xuu6/DcIfveUDybFksbk51Xz/JrIujIF5pMZ+XsluCnbshFKicdSLwSSUeK250rPxtW8RY HZMoyzeqy6Omr2xa/bokXPauQzd0NkQT+V+IWmwIm7VDcNqlTTc4V/63KvJCGCtTftxYnHPz m/itVfbs/4/lMOyiaGm7gnO/PfL5Re7LxhalPBvjmeC7zFjcGy2WeNSoXcvRGXXLL0l5bjpk nqRgLrkP7fDHBK5zjnzjgFMmeQ1Oy4aZZLG5RT9kRWpGq37IIrdtcRnnISOFTFlmm+Q3ivyA mtjqDTmDXkcYAt4DiwK5gdzkKR+XFB4Y6Pwok8tKbPJMFRvfXvnWbmOyVAkctgwxIrTdPWHn CKSmIMKhhra/36pMMkpUo0tLBZZyFUqqIyElGMO0uoadcH6aQ3ImekQHnVBk8pQs/xizuiZM i2Q6XHWyrVN5zbPIXHbY3rFceyuXMXnkTyq8mCTZaGwxvTRRGzyQlJxRRiOA3ds2cWIC4m5r sa0LJqclvOmBdnOj9hPj8xohGfwXhu6cm0tKWT4KyayUgCvXVfxEAMaBObGd8PNGIx7zoqxN T6X4ym5tls5m6TJvk5zOjbGmdikbucwc/MZKKYCAbXNN2Fg3Mz3dssyLuSHIn7fqRLm3AfUC 4cR4gznIaMVe+dPMH6ZLuV09iuFGgLulX+hue/TC+/ufqOX0Etljskz2NYU5xjGhSOdlSSjh 4ajb6X5x7dHpkbJWLEt8Ja1nx7tOF/87PKrztbcM7XXsH+Y2ghnTLrBZw7QwUrIDTY8lOYlT PKWLTaEVxK5dSG89vtNae1SLT99+vP3249OHl7tzfRg05uq7Xl4+wANC314VZbB2jT48f397 edVU/92V3FflnHr9BNao/1hawP7z7u2b7KaXu7ePAwoxXrpSqmzRgnaP2uflwNYcXzyUZTBi 3NlfLX3/+UZenfC8PJsuIpBwy5IY05R2xOMRnBUz44a+o4D1smznsrzOo/VeRLgHE0BE1FS8 ve8sP1TLzz9eXj9DqL9PEHH4r2fjwr3PVECgCKzGgQIGt6ij2AxWy/OPlKTaP2zL2a1jHv8I /HBe37vicWaLbpCTC9rK5DKz/dSGjDK+7XLeJ4+HIqpmzwd1abcoxhcVDVB6Xhj+CggTliZI c3/Am/DQ2BYR+dLABNgKqyEc29fsAEZC3PskVH7oIeTsnmpXWhJHLAOhOJlwzRiBDYv8nY07 ZumgcGeHax/ZcT72FSJ0HVe/ZjRILmZUoZXaBq63R4oVrEbLFGVlO5gUOCLy5NrMwvkNJPAx AQUEtmyMoLoprtE10rybJ9I574ZsUbBcEXZIeiOcW1Oc2UmmoJ/TAm+uDw6LSilXbqwOU93q p1xQDFOSMfEWZSUa1n4EHB5jpDB4CIXLf8sSI0rZLiobzupVotwvD2cUwh4n88YFUTlzIxa6 C2AipTe4UNuA1QnoLInDqFatGjb0Ca0JdIQ4bv0l3rIi7HN7o7bFl0I8y0TVudKuAxPePsDe yejo7DEqo2kydYnQLaZdopmuaIv2jFT1FWSNl7pt2yha8tp8CTM7YWSJrl2zvBMZ5B1Udzps Z+DyikVT6gDKvdOQHLoUKBcuTRnhK6ujeCnP9FuoU5RLiYnwq59g9wf5YwtUJmlUo13egzoW kiIaK8RuuV0rJuqkAHrN4DWby0VRHNi7Fk+dj1NPa0SSwfq04FsDdhCR7VnL7InbWrfDuWkI G4C+qULuTcQm3SHUXnhIkpLyNp1QccKKGI8cMIEu/FBF2NdyZcTcJLjCeRR5pByZ98g1YNu8 w+O/D2LqNankrrtWxqM8xEsRYwXBxCzKvEEFM5kM3ocAnYCcSXp4BqCfB8nbbBk7hl6wm4NV 31UFvBsHdppFbJoxD+zUZu6O3sz4Q+34+2heNhORO7tAMgiEcWqHiauL41tt/431cmQVwPcG wHpBfqAV1JMrwXed7ZJWtkrE26VIcmGdlXC0tPiPQ4qa7sUM6cS92Z+holQ5bEw46knOvHjX WqTslkV6hk1md1h9fv2gDAohrjWc1gwz40o3eFc/4e/+cY/p3K4IJQO5AmlzR874oVTxMmfZ quiKsn1H7a1e1gqWNAgDYJrpqrwVW80YlX2LjNROIDdbelYkpKA0EklvRjuCh7RbXssDDfpt IyTDb+xHeiLOtnWPGwWMoKMI51bWva4CG9zJghM5qXeag4/Pr8/vQSOxMDxvGsO+/UKFr9mH t7IxVYSdtbBKRjJlKg4E+HD0sSj78Nuvn54/a2qNznr+29ffQnjo4EdHVuoVxH61317hZiHj xPLbY97VxGs9HbnmR05Y9w0IxvKW0GoNCNvndUDcuvSgnt3fNVFKXoiY0C1Yr/0r602knC5r 5Ip4Qq4nH+vslpVbdSgUz49Z0m5BGWjQlQsUTzmTbIG7jM9YZFFMDs9Tg4sZYUSa31Ji7PPi qRCoZvoMulRzJvQPH8328J54ugxuT9NiA2lmYKW+waD6GRx6plnXP+VGaKeVbSZbsQrlpeC3 7jk5KpCHOPTaXGUKUh0j1DTmdO3jJuvtGxO7N93Ukwu4NnkEHqIdegU0IXrf+S9LinpKCa2e saYihHc4lkk2wqO5XWbvzMmU+9k3TJT57ie7Ne1exFBfj58KmPxTGgVqyu33swUX0+M2uesE uPAMJBv3tqhZVgL70MRL4zgWCTkJ4FxM0agyF0fzdTV4GqGJSoxxLiIr0io2AolcBMM0tKLI K/UWrHmgzFWQTUzkV/VexFmbXnLZyx5n02hIU47NSDEjvTjqCv/ldjgKWj3TV+e6UTHIRq/T TrEqRcalClw/v8OxXOmG4N17TTp32PSI0DRFIVU9GIcqfiVVnNvBxUP8/Pz26fvnl79ls6Ed 7OOn72hj5LJ/6GQeWXaWJXmamO2ThSo6ltpVOEvOGrZzLd+QzntSyaK9t8PmvYn4G83Mczm9 ieBMPUaeg4jCVQS3oQyseJG1rJwHNBw8RNZ6U6+ldwEGOcYczk6F9GVijFE0A2/N2c1Pye4k XqZ//PbjbcM5XQ1hxm3PxVeAke7jdz0jvV2hizjwiJBgHRnsyEk6X4inOnHxzo5GLDlvcQkZ qLmy4iHO8EBXZj+STfFAempYuJTR93TPSbrvEiqLjrz3cYEOyBeOu+X3tLJaeuarNUM9LXT3 J7jxdgN+948vkhM+//fu5cufLx/gDvH3HvWblIXfS27855wnGCxk5PVDNyPgTVblVg/BHSAG yS9hCY8jgK3WVywU9uZYs2i7HTUXiwAMGpkI45H8LVfvr1JKlJjfu5n13N+5EjOqiYr6llyW G3bx9rFbA/pytEGal3GsObqYkLPfWC+a88FcWuvMCHU9JvVukfMlrfPbp91zR0iUpWs8AhDS CVDb4LR8LnGOIAwJ6hKVsk8114S/mhsbZae6qPU4IePxUCV//gS+l1oMIVkAbJ6Gc7N5gdIt vU0pM397/2/iNr63aoB7YjLGnnYt//zhwye4rJe8p0r98b+6u/eysqG5wz71Xz1B/m9KGGIb TARNelVPoS63S7Pwm5S+HLe2QlMmmVONHutp8LRCholQI6ARxxbLWbAkKzCtASwdsme1D+wS VFxrCDXSByLzbGdAFMdOMFlk4dXD3M636xNyfVICkHqPm2had8FpTfJVFwf4y/P373I1VuUi y4DKGezaVoWOoGvuzvI0vfeZoQHxlQonqMjHBv6xiAc1FWTkp7UluENW6914yq74UVtRlS3q BV8huo4+hH4d4JtqN0yRiLzYkSxVHPCdvYPROpueXqxV8lgz4jZD0Zc7zWxERXw7Ei8IrvDO KAOo1Je/v8uFxjDH6Arv7CkMpWOXnhNupmrcIEAVZqGr8bdm/DClOu2iJiWmuyvfrwDEebUH wN3DSglNyZkTzllW23lmXdRNy2O87Lqp45fUMRIUkktvzaEJCc1d/zX8pny/CAONAZR0KIdQ +6qLl5jJ43yLfjbSUJMx0lSegPp3wmfTqmD3Z5w7rrh03gWxiy5o+DxFk+KceSmrJVP3xnMI /LeJ9MfCdYQ8Szp7z8GJU060AStTeAnrkmYv0A7H/ATO9uDyrz/X0GVDaRDGReCkMTJgmT0u G96lL2P0YaDTVZjGMcMKHsUMQrTKHYWIiw2xmFRRKBmkpBQGXi4ylo+zRl/8jV0di9A8DZC4 doIQXwcMyHpFCoLd5AyALEkLKbBr124DpT7olqH9xxmJnQfKLHHIfnhwgrY1VsAZibgaHFBy CbUDa2cti+4pzrJ5khLuLXdJyMowcIJluikHTcWoD0OKaVzfs5cZ4qRRIaJU03a+5y+zyo/e 2Z7RHwaJeCtdxzhesIkJCHWGhvFkMzYxIeoaMLKBOLi7YDkyaXROk27x2dnLPqia/c7zsC44 s9q2LMJ3e2hWvN/vPcz2ZzGlVcJwlDshxtH585sUHDDRc4xUFAc74kVzA4JfVE4QYVsOPkdN DKGHNjD4HmlicIsKA+Nut8cOcFbTMHtnRziCjJhG9s+vYLbaIzE+dYmmYQixycRs9HPtbpVS s8DfGtGWy+NXrl66rQrCy2Qsr0wIE9YR0rTleoVM/hXx6sZmqrEFMK59Z/37IObWxudx717K 6fixacAcAzu0PNxTWMeEzhG/d5pAnht4uPprxDR1k5zhCax1XJp5dkjeWI8Yx9rCBL6Fnzo1 xDrDdsdLwsdgAJ34ybcJNeo4GHByvFJRZEZUE65P6HeM8CIeAFLwqWxng3ngnauI8rYeMGp3 WJ+GHSaYSwg4jtg5NYzceNc5GjDkVaCOcdY7SWG2v23n+NttdggZcsCAqOFb/nplCmSv7wkK 46/vY4DZr3OQhLh2sMGtEOFua3lRGHezzb6/wbEKQ9hNGphf+rANLhOsdLc2+ob5xCsT47gL 4rZpAgSbgA32ExtbuwSs80ImiHOJBthqZLjVyI3lKhNbs17KJ1uArUbKA7S7NV4Ss9tYWxRm /XtLFgbuxpoAmJ2z3i15w24QPQZeQprb/cyhrJGTfr0LABNs8JPEyHPqel8DZm+td2VeMkEb eQ1dcAy9PaF1mVvpL3LXp2ZjiZeIjSksEe7fWwi2UcbK3ekohYlErqXrg50IZu+s9RGUGMfe xvigj1hvtKjZLhC/BtqYeh3s4G6suzU7ef4GwyuMu34uqpumDjYEgFoIf2MrjWJmO2Ecbp74 6iB0NjCyx8MtITuPHGt9EwTIxoyRENfZ3JaC9anZnATb2EcbUdobi4CCrHOigqx3nYRQoZF1 yNYni9Kz19ty4ZEf+utS/qWxnY3D66UJnY3z9jV0g8BdPwUBJrTXj4mA2f8KxvkFzHrnKMj6 dJGQLAg94rkqE+UTtocaSi4Ep/XTZAdKCJTaFSPsVvcawTNWhfYG45CyCMY6EvLiGj0WZ+w+ dsR0VqPKvK1/szhGqgCHTHULLkv7w0KqWlyuKmXV9fnt/ccP3/51V76+vH368vLt59td+u0/ L69fv+m3XmMpZZX0ldzS4oK0wwTITtXi0VOgvCjKbVQJcbTRXtSAw7uRQ7FrHUtkG+ox+2fh nj3xDbziOxSK1KdO6BpzjBkNwvCaOW/gHXCU9XpL8pWqnjivwCJlrE3XkPbvyGDZR1B8XafD Mcdt8TaMoCjjIrAt+3aNiQdofdeykvpAAoTk5chZFDA0kkepE4Z6nw63iL/9+fzj5cM0auz5 9cP8KZmSrbZe1onHs6rBo7Coa34w4wHWNfZ234GJCIUfZu9BT9aif/38+h5sVcgYG+IYL3yj IC1iTbjfefgeowDKvRCM/hnxlsCEOmWMCCcAGOU3axHCggLEey+wxRV/qUpV05aOtbi0MSAC rHjpz4mjvUWoxUYyvu/0ZJuQQoCcRk0CZkX1La1XWshsF7l6MjGl4xNqdCCfuC/FC3ne4HgR Uv5XL3cx/FOykt04YboJNMqsE6rmD7VPhKQF8rsof7oxUVCBEAFzn4iFsa5GDsNShES8nYmO 7/wdB7T2ziM0DD0gCCitzAQIcZF+AhACSg8I99ZKExqfOmsPZOJkoshJfnTsg6D5R25PuHkN EOUR1pNcTrceNWPQ6Y1nrWW/DwkJWlFzr/GJAwzQa74L/HYlRCVghEcI4Ip6/xhKDiBCUh9a z1q+K6FnV9YBhjO+TG24PDK5rtfemppRUVMAmJXufkd3jiwnE/jYNGXt2xZxMQpEj7IC64iE RY6qVQFWOFoBHJvmOWh3GQaE3ZCG8IgzrFYLPfgKsLed1cXxmtlO4K5zSCZcb4VFmwfRrvTG pQ09+iuiij8VebTeRhHu92iMCOCwuYWlysHi/cwpe6QryawukU/WnRwoIWCyhekdzQ3n4tH7 nLJcmRBH3iayc4qsiXRPkwkAfl/nzv+vPgvdemHCgD9uXYLH3RpKLvJp6BudNBFBaAlNNlti Ys/dh1jRchN3bIuk2BjlGOWe63keSQtDC28rYUo1AXid7V3Lw3NLojxQ2lhY9gkEK06ANltR HJwSBk5LUfAPzRrmeuEebykQ/QB7FmjCwM7shT5WNmyY/o4oWxGJ7dJE7T3M0MjABEHo+EQ9 rLTlMrlRROntbPwbyjDUwyiZFIqZRfkQ7NGolBpGygOKMZH8YK05C82xxBzPTxDrmyjhIrl3 s3sVKtyoBzB7dG7VWeqp8ONoE2q5Y1v+OptLTOjsUJ5VpCDHSHJH8WzfRScB7DaO66Pt7XZM M6bWnBpgITRmINt18CIuhIV/xYaD2pQAoe7G3xmvzKC4bIiogll7Kuqlf+RHzzNFUsEP2pU8 ZbTeKSZ8tOTaRF349zQyOgSHmZaQUYXAuDOuIiK+IYcgrFUSiSczQqBRe1pU8DbxShU8PUc5 4eElR66RWTnmrio7LiuKUr0ROrn4VL2pP6+WiY0x76H5ylccKRto3PBykbW1h6K9xRf8uARN LbCopixhy+N+Ah51QKkwm8eJDEaqhW7Vq0o7Ba5jsLIKk3TO6iQEANo+gFTwuPcpiosrCeuq 7qtdKDjS1+fvHz+9R585jqulm1ck06bgF6OIpCd3T9C+Pn95ufvz519/vbz2OjpD33OcMc/w 5CuWrXvj8/n9vz9/+tfHt7v/uctYvIykOR2yWXxjWVTXa0FYgccynp6aFejwauhGzeMLpfOu 1FWR5zxe9OWJx0vPY5moxULg8WSuKydmnjbGY0qSTq0D5xPHXBqgxN4eevDYqb+/vIdIEZBh odoCfLQz47+pNFadjbk3Jt5QU3FFhgBwmusaJJ0hpPi8nEOS3XN8+QMyOyVVhU3Mjsjlr0ez Glac06ia9Ry8JRZlGVmQmjjzpvVx/Mi2yfFIi7zi6GNUAEhELXto3pQkSygNoCI/3SdEHAI1 nkKup+RoHythjl2aFdX/sXZtzW3jSvqvqPI0U5XsSKSuD+eBIimJEW8mKFnOC0uxFUd1bMkr y3uO59dvN8ALLg0nZ2sfZmJ1NwEQbACNRuPrKJOB+5AKNXCQM416F6qEWy8us1ylbaPwlmWp nD6W13MHCw2mVlC+RcQTI2ndqqHQSJyv3rzw1HLL2yhdeane/BQv35WZRo99HtGvEcNAbVQc ptk202jZUmQv09ra0PGHBa+5FVnQh1XILzbJPA5zL3A+klrOhv2P+LerMIyZTUJo+TLyOeqg pYcT+KKF/pUS724BE6Px8tx6WJLQ9vwxnhAkW5RaaRkip4TaqERwqkjonFZLSgKfIwfWsHCt FpN7KR7+gVKr+eM7sn1KysPSi+/SnVYiwur4gT5Ic0TfLFDP7eM/LyLEm7axmRfZsBYFm+cu sDSWBxLXaZxkMiZz1NsKRNALmOZJJFgusUnBjGPGB7YkU+EDGhEXPWa5vM8LTbyi/JrdYclW oTLaUrt2zspyFoaB3qhyBUPbPj2WKwQaSTxWWq7uoNAGl8oqZxRaL5/YogjtdVUTdlGaZGp3 fwuLjHec1OMNza5o3+4CWB35KFM7jB9uV6sNdVbFV8g4V3KYU6t1h51BWRQcfiMK5EIM2RYX TSI2z6OdielUYW9UlnGIyZcjefZFfmfVKubpJs4j85K8JAB/pjYvDscmxcPXlceqlTocN+TZ Hjea/agFLgchDoGmwaQhPf/5/nq8h36M9+802kGa5bzAnR9G9KEZcgWcpg0H4IOatGK8YGlJ CFfe5R9tADL4Iuw2Km2nSrZzDLBDLMCyaXjLgee7L4y/hJ0sbZRbWmUsFBKPz/EESJksOS/Q EE/BrELEKh9ho0LTWkYccDO7AT7veeXAUZGvBD11+85oRs9WQoK5Y+18VmFj1JxrlDv3k7Fr iQDrBCwIh1yAO9Bpn1DHpzxlDXcsX45riTP1QnJL75OpWjlb3Fd2jMdqum1schkV/EjUhucz Q7MRQCadhzV3NNrhoVSSqBNkyyXh0Duua7RiNBobHZRPR/0BUfx0anHPdR1hOTZqBcaWkxsu 0HqlPlCYwJmSnlHRxNIdzUw1RNz7keUYVAjE/mg2sMQEtHo2osNdOX9dBs54Zm1YxNzBInYH M1PtapYWvqgNZJ7w4/vT8fTPPwZ/8smyWM57NeD/G17jppa73h+dSfCnNhXM0TxKjNYk8Y4G wOJcPDTRlEUcJFpVEsfaxFYcWybugF9rbV+3vBwfH7X1RdQDU99S8y22EpiOHeNUojiyoNBF 8P80mnsptfkLMFrDcE52VPNMijcPBCSHTfdUnbqtWxWQ1p5JwaSdgsGpcjMJlqVG5UzYEjiS 2C2/TAc0CWkFwTBDISa9ahnGVQTUMR3Mmsc7LIbk1RFa3+7SmySvglyTq6V4QrUVVlEly0Ry 0XUMpSdvebPJCmueFRMK+KGtsTXPAOPrvEmLSn+D9sv5Lb5Pp0bsLvWr0uid7kPhxfeu97tv je7FFnIWyPPNosmxI2EhY+mLSIu9uuV02mypSyKbAgzYLW5DML/KaHGnaS5yWRgvsMH0mKmF VqGX0yaZ9hqtem52QcRghyclxVgFw+FEPXqMEuxPP4rQy0i8AWw6w7g2YcDGYgzPct9VrgA/ qHmfPrV+4JVXoOtyHsO4URxEMof2ikkS3BijnNZCRPExk0v7dgEWbQQT34abntLRJ3Lk57lk mnFZsllcwDYEODPRMBs7LkwsNTQstYGtMVDf1d8Yu7NRYJgFmY4brJlzL44z2WtU0wUw/LNR mBWwaBvk9IDerjJW8rYZQzY53l/Or+cf197q/eVw+bLtPb4dXq+KW7uJQviFaNN82KTX+J7N WCw9GMxKhCvMZ6Ga10xsIeHNXq/7R8ylpe2ZvPv7w9Phcn4+XDXsGI0jpE/7p/Mj4n09HB+P VwT5Op+gOOPZj+Tkkhr29+OXh+PlICIxtDKbkRyUE1dHm1Hr+1Vporj9y/4exE73B+uLtFVO RPqH7vdkOJY33L8uTMyxvDXwj2Cz99P15+H1qPSZVUbgHjSp0+BN3/8+XD73oueXwwOv2Ceb DqalKzf1N0uotYKjLBxOh8vje49rAOpO5MsVhJPpSNkS1CQzxKfVKFupvNLi8Hp+Quvxl+r1 K8nWHULovTZ6xDFasxZ6p4fL+figrrIrG7hzpM/arTaKUlqzJyrCW/ivPsSU7KFbBLpOvF1V ZiVYW+hqYf8YD02+j+mUBNt1uhYsYZOeLz1ceSi3SRqxO4a54STEODGL8MVKgChqjMajpJH5 mRrZC60EHYzfcvXz34Yj3PgGufBuTSLPb4KxWEQL50UULMMA0QnN09D96z8PV+qAU+MopiVa sNDB0YJaThdRGAdYr5Z4bpWggwJbxKwespvYctV+mcXBImK0y0dsWio/JhHXb1kepXHmrxtd 9jnOIju/XajQdo7crRjygpIX2VyybKAyhqEUibwot3nFqzwqx0OBiN1MiFSt7YNeFM/VpOwN +l6VrGhbo9lfzC3gdXWZHOSJCg/gBo+XS5nMBanzbAoNwVnpeN8TRk++fzxcOfwlMxfsX4mq 9fDN2ILp1TcXYHKPsXJVZJuldECXLYSUBL6FgN8NrbPGker7t5VhqtUT6vP5eni5nO/N7y+C WOBrq1ExLbXyDQuunXyNUkVtL8+vj5TDtchhcyj2WkueVrDI6flUCApzjK5aqULqBzyGxxnW 6AKW+b0/mIAXzk4cxvrP3iv6Hn7AFww0W+gZjAggs7OvvEczrRNs8RwUeHiwPmZyReDD5bx/ uD8/254j+cIW2OV/LS6Hw+v9HtTu5nyJbmyF/EqUyx7/K9nZCjB4nHnztn+CplnbTvJbXQbt Kltn/u74dDz92yhI3eBv/Q2pENTD7YHKb336dguX4ES+KHimcGGziZ/U7byaJS7cRUkeh7CB C8LES6UYD1koDwuc5LzUDy0CuAgyxDt+ptht+K/lacxuzbGSlZYbqU27l6zz/ralhbvS53ul Bj4azClrhlQhzGH3vipLes1YMG82nPYNuupXrokI0uHKobM1PS/TkZZ7reYU5XQ2cSmXRy3A ktGo7xglNsc60kIG010hOQYimYn4PPPNYiHHGHS0ypfRqjsy+pIs9NrPRnHxeMSI60b+Gq0P lFLbULsXwdqhWij+VNac7hlDlNfKUEVbEcnCRCF2+1HEVS1RP2vMwMYGs90sYDq1kby54gQ9 Xx8nT4y7DTV3nnhDGcNV/FbxneeJD4rEva4SvrRM1esMPIeM2Q08V450h29aBP2xTphpBDls nndWWdfqon1p4eHhrsZf71igxHpzgvVCxXrnf10P+pbb8onvOi71jkniTYbyeKwJWh5OII7H yugU2Q6pMwXgzEajgRlbKejWJ5SjkWTnw5elri8AZ+zILWbleuoOlLMvJM09/fba/93T0TkE +rNBoWjxxJkNVAWejPvjKsL8QjBTF5hzhApkBbnZbCeXFHEXOkyz0lSWbsM4y8MWuFKJO9hN yBR6Am6iLqg7pyh9ZzihL4Rx3pTqbM6ZSQiSeD3BHbsKYTZW4+4RY2noUKqRehsEoVE+Fc+v jSiy5ulau1VBkf50IPUMpzHQd+VSyHYxHvSt+bpr62Jn8P9TN9bicj5de+HpQc4jLqB+fa/2 oKtlSk/UtufLExgmaoxm4g+dkezDkaSElfTz8MxjENjh9KqYKF4ZezCpr+pAFEmtOCP8lnWc tj/mSTi2QET5PpvSyuXdqJH3YMRP+jKUK/MDt28MfkGlZ3XB070l2N6oiHCBX+auNKmynLnK VLT9Np3ReNJGh4mA3eNDTeAuIx8s1/NJtmdpAflLw66/hW5xuhBcljfPmYWaTG0lUAukeXW3 1l5GoaSgr3uhZfScNeqPh/I8M3KnipNzNByOld+jmVNUc4+FGtUtFMJ4qj42no3Vtgd5VsIi KoWTBmw4dKTGJGPHla+dwGQyGqizzWjq6JPLcOJQcxVMCVDZaDQZmFNCoB/wtV7YD/qwdaY/ vD0/v9dbDvmTGrw6Zv7w32+H0/1769T9G4+7g4D9lcdxs/sUnhPuXNhfz5e/guPr9XL8/oZO bLmOD+UELsPP/evhSwxisO+Mz+eX3h9Qz5+9H207XqV2KPk5/sMnu/D+D99Q0c7H98v59f78 coCO1yatebIcjBVrDn/r1tli5zEHQYfJCxn5xu3LPvuaQA6i5V2RWawwziKMsKhcuk59IUtT GfPFxORy2D9df0ozdEO9XHvF/nroJefT8apO3otwOOwPFbV3+9pVtJrmkGpMFi8x5RaJ9rw9 Hx+O13fzo3iJ46qLarAqyaVgFfjQRvX2QMlsKFarcmMDe4omtKWHDEfpe6PZYojC2LhidMnz Yf/6djk8H2CtfYNuUHQt0nQt6nSt1bSMTSfy/qKhqHLrZDeW9gVRuq0iP0Gw0D5N1bQROKCm Y66mSt45mUHob8ySccB2Nno7cNoEuNZuEREt/DKMqQDB16Bi2lVKL9jsQPmoHYQXo15KK0EM U3pfuXHh5QGbuX3yaWTN1K3FfDWYkJc1kSGvXX7iOoPpQCXI6wn8dtXriT7G0Vmg14E1tuDP LXPHy23A54IJ79zvU+EQ7brOYmfWHyhpTVSeGozYfGRkDRxp0/GVeQNnIN/WzIv+SF0m47LQ 4B8axha+1tBX0gPsYPoxZhukUQnZ08wbiLvYNSHLS/i20lfIPQQgrmnSMB8MXCpqGxlDdT/n urJGgYpvthFzRgRJHSilz9zhYKgR5NvdLbIc9OpI3sdwwlTRFSRNJvQ3B95wRGZ43bDRYOpI F1O2fhrX/atQXOl9tmESj/uylSsoE9XQjccD0lPxDb4BdPlAHv7q8BZhCvvH0+EqNr7EwF9P ZxPZUsTf8l533Z/NZIdI7VNJvGVKEjUfgreESUXzIfjuyAZPX09uvCC+KtOLRwPBnfij6dD9 JRJ1kYBqGRuRLjqD6qEOQkqkyFQz4eFuYENvP5Rn6qXq/ul4Mr6ANGcTfC7QxB72vuAZ9+kB jNXTQW8Iz2xcbPKS8s+pPYtwdbRU3RS6wnrlOIHBwZPE7U+Pb0/w98v5lSeCo17qd8QVm/Hl fIW16ihHqXTbDGdCeRYCBiNDdUuMhsrWwkdAyqlKgBEszQB5jAYWZetpDSIbC50kGxxxks/a u/yW4sQjwoi/HF5xkSaG5Tzvj/uJAjY3T3KLyzJewawhTT4BbJbVQbfKLeiekZ8P0OqkHYh5 PBiM7HAueQyDm3TXsRG6h97V39rUADRX2vbVQ59f0aSp2rQ/GsrffpU7/bHE/pZ7YBWMDYJu MBnfoDOTThhTQqq2zqy/5vnfx2c0VFHpH46vImTI+LZ8bdfD2aPAK/CSTlhtSffqfKDYOLkW FFYsMGzJBvJaLGz4zruZO6BUChgj1TjAQihLBZc1V1js7YI1cuO+YZn+onv+f8ODxOx5eH7B DbQ6wjr1jXez/tiSRkYwyXscZQJGoaRY/PdEtSHumAWGi7N0jNdm8iXa2z2ZljRmwzYJrUEo +a2JAhAVN717OnF2m2GyteqrRQ0P2ixV+sPSTJJ7/lpvSaOePCkZ/MCMK3Go4Swhb174CSvn tTeVDh3ggiKWfElfnBciZUSkSRNDdHXXY2/fRZbh7sXbNJErJWh57ifVGvGsNmzu6DFHXR+v 7loc0DIrijClY6hkueB3CmMRLOt0VKoi5sVbOqgVpTAcP0p20+RGv3eniCXRDno1ifLo47bl O69ypmmCqWfpRUGRwo6zv0Due/nHrfLyfJWlYZUEyXhsWaRQUCRgRW9yoGeZaWYf5ctLT+Oh vG9BTEn8ualCh8uP8+WZz13Pwu1CRfx+JNaOCk+53QE9MTSq66IVmzGZBkUm40zUhGoepUFY wDBUon1ULpkJViuguXfy6fsRb/F8/vmv+o//OT2Ivz7Zq24j/NXjEDVWMvB2SowDSajWSSiF LvLsg3oyQm7PtomTb3vXy/6eL8v6zMZKqSj4gSFwJYaPs0hxO3YsKLqiYs1QItgkyZ1aHss2 RQ3clsWhXmTNXYVeUc5DzwLgyye2ks6uSryc5CzNl1SkxILnmu6kWMSvh2L/pllAH/SjkLiL bU8rLMloV58pETOFliQDk3Sit5HNQ0s4Jr+PmsfhjkdQ6Bs0Atp3gweiy8nMURxTSLZcjUQW j4OU7BaqitYMS6oslxZMTL+rBO/B74rKWd/w4wgzYyiPAEkE0ukwWIqmFPB3GvqUivrZBgXk QheghDcbLwhsOENttGfpz2FlycuNDUIyYyWpoVogkTgUOT6BJcOnXMXy2npo74KtC7vR3CtY SB0AIy9jEXxCP5aDmDCic6F0WUOr5hgbC1+EmuXwllOFfGE5tzvGNMAD6DsLHwqFRba4yzkW ityjrNqCzVBSCDQLRlyAEiTy5J5zxE1GuQbPfKRl3myykhrz3qbMFmwITZBcOJymkBZQWaV2 oq+BjHQfS1ydWdAWZga9EHt3FQGD7+/vf2rAUWDb+SsaqamWFmvs6+Ht4dz7AerTaU8z5DBw VW06J60twLWcieZgKSeeR2Lu4T2vLI0E8KfMgqEQB2DJdeR1WKRytFWz9HR7ALVNnNApML2N AImdV5aF+WCEM/SYTKe5WYZlPJcrr0n8hZTAN4Q2L2C9kagtKMMyWnppGfnaU+IfoS7SEk58 kbaeiIk7hNAlZZhI7coKvEqnqV7IR5P2BVtifbcuInFU/MJL5KJyzKMkX9HjvzHsOsbJBeZQ zZlQC8Tfso+YQ5nZKVnLXvmtAKVvQm46dLpi3o1ivrEy+I1SPihBf8sm2py2kc0X/z354Yfy 9ldupI2PYwh8gsc+GULCjDLfGqPHP2oxaAh1ehGWiD5Pa2naKLv0e+tov125LYJiGdacqVyZ EpSK9gcUeKE0tUyu+CTO1HG49Pw7WEMoVWmEcIYCAxKE1LYHEcP8JtUmyCmoFxChrLNlwUPZ YInLpL0Gro/6T3xbpcL64n03VW7SIvf139VSHV811bjX3i1QYb6qyA2MHy2UovA33v0qGeW+ 4Vy8N3oLsywL/U3RdLCyHKLUbeitq/wW50vLdR2U2uTW7CKcz6d4W0P4+xoVc6ol4XLLx31I jtBvtPIIwV+0Lws828ru8XFBsmY5/SHSWJpP4Uc3yI+vZ4QA/jL4JLMRm5WvwkPZEaxwJnbO RAlYUHhT8iRZE3E+eJw+LNaEKBQJVUQOPtA4A3vtYzKKUhVxrQUPPyj4d15rTEFVayIzax0z 95ePz0a2XpnJLm6VM7RXOZ1QdhKKRCxDraumllIHjrUpwBqoLA4doJKa8gc02aHJrv4mDeNX rzGiyxvbyrPpZ8OfWd7GtdCHFroxDtdZNK2oKa9lbvRHEHCjyBKPAids+H6IeFRqIwQd9rub IiM4ReaVCHhmcu6KKI5V70/DW3phbPFutiJFaIECbCQiaK2G7WLKpJuIMqiUDiGbD/vzdcSB uyTGplwocSZBTBlDmzRCLZcw4AShSvH2Uhx947ifsiOvlsPEWjfypkDZ3otY2MP92wWPeAyk EVym5N3UHWIr3WyggorvCRVbLyxYBFZaWqJgAZsBarGp9+VhYJZdBSvM3SYQTFXvCq73sGvH HJ6MnxeUReTTRnAj+yGTXAdXmJVi5RVBmELzcGPvZ/kdNzp8T9ltGkLKNWOjhAUUgTesyTp1 YZzHWC6j/S3A9kNXg/BHKv0C1hLsBfHZBHRhFca5LY4g8araagL1rhDNHQEc8ZoSfUO9uQXb db0cHByz5B+fMNr14fyv0+f3/fP+89N5//ByPH1+3f84QDnHh8/H0/XwiHr1+fvLj09C1daH y+nw1Pu5vzwc+Flsp3LCM3h4Pl/ee8fTEcPhjn/v6xjb5jVg249v7a9B71OlLzgL777h52qb T8KmNqILmA4kSXmQWNrRsO2v0YaQ62Oq2w6D+mftVfDL+8v13Ls/Xw6986X38/D0wuOWFWF4 p6VyT1ohOyY99AKSaIqytR/lK/numcYwH0GzmiSaooXslOtopKC592wabm2JZ2v8Os9N6bXs 8m1KwI2tKQrzt7ckyq3pjmL5C9aGdoeqD7a7Oo6mZBS/XAycabKJDUa6iWmi2fSc/yuFVQoy /ycwyN6mXMGMbJRSw1MJt97b96fj/Zd/Ht5791xbHxF1/d1Q0oJ5RjmBqSmh7xPdF/oBCaHU cIuAKB1mpm3ojP63siNZbmPH3ecrfJzDvJTlOH7JIQf2Iqnj3tyLJfvS5Th6iSvxUpZc8z5/ sPQCkmi9zCFVMQBxawIEQBD4sPg0sJN5O/zAcJ37u8Pu20n8RAPG2KX/Phx+nJj9/vn+gVDR 3eHOm0EYZv43UWDhGs4+c3ZaFukNxVf68zHxKqkXapDowGDxVXKtrsTagICyXvjzq3R6XfD4 /E1miRtGFGiLGi61lK0D0nZgjlDVVB+GFig/SavN/E+KZaBs0cDfcdum9nYn6ASbikqFeMuL +XCbVlOUhrHiu+vxkvFu/2Nu5aw0eIM0y4y2nlsY+HyP1/yjIeBstz/4nVXh+zO/OwJr/W1d F4aND1JzGZ8Fyvow5sinhC6bxWmULL3BrFT5Lra6I9mic6+JLFLoEtjXFKygrWyVRYuZ9K6C YiZp6ERx9kEzYyf8exnwNPDh2iy80QIQ2tLAHxbKIbo2731gpsAa0DgCu/TtIHFX1UJN+9nj NyX3zFrDw8sP6850lDr+oQIwzung8VDeBsmRLWKq8NxrLUiLDabBmUV4fsRhw5ksBstNEeIG jQkv66fAaqGKAn3hfdJIWYalfi5ers2toizVJq2NslkGye//wEmhPoKr0okscneJzz5N7K9S symWluVow6cF5P3x/PiCAZKW7jwuDt1AeC2lt4UH+3jub/b09lw7BPCC5Rh34tWJd6RVd0/f nh9P8rfHr7vX4eGcNmiT10kXlpo+GVXBashCqGB6Ua5hWM65AyVcqLt+JwqvyS8J1oyJMVTO NgeFfojJjo54pR3CQQP/LeJqpty7S4dWwPzMcGyY4dY1T349fH29A3Po9fnt8PCknKJpEqjC h+CaHEFEf0iNxXGO0Kg4ZsajP2cSHTUqj8dbkDqmj9ZEDcKH8xK04uQ2/rw4RnKs+yMq5jS/ SROd/7RIPZ5qblNrTYMz9U2WxehoIecMZiYVF9ITsmyDtKep28Am2344/dSFMfovkhDvPTlu RNwvXob1RyzhcY1YbEOj+HNI3jpheXviq7m/SNvfU2br/cP3J47Evf+xu/8JlrmIJqMrxNHv 0fuoxAWXh69FrtgeG2+bysgZeb/3KDraAeenny4sP1SRR6a6cYejRRtxu8AJWD+rbmZHPlEQ H+P/cAJTrMZvrNbQZJDkODr4MHmzHJY7nRUDaZLHpuoocsC+9jYUmqNMK0hAGcJcs2IJh4je PG66tklkcusBtUzyCNM2wiyhBcEzRRVJHsKqMDHYyFkAXYioGgykwHvXMCu34ZovQ6t4KZkv BEMQpLk8DcOFwzZhx+qzynBhlzRtZ3kyPAUfAKOzdkZyEwmwVhzczKnGgkQPiO9JTLUxar0n xtsrWYUXllIS2n+Jmz0QKr5JE34U/L+1rQnYIFGRialPKCf0QkCxGqQLv0V5BidVarHgLYtk R8Fh6DJtQunBVKNJECq6E/BzZXAIVQeHYSIaYnuLYLkRGNI5xZttJAU7y6v4Hp6Yi3OlLVPp OfwmdLMGtpjvD9OS+r0F4RcPZn/Bacbd6lY+SBAIXBqfqRUX+9ZUlbnh4FF57NRFmJgmuY47 IphQGB1l57nHdPilDKsAHb2rGZEOhf0kjtLQm5Lc6m7wFeJMFFVd012cW/wyxmYtCwwXRsI2 H685hJTeJEWTWh4UahSD92dKVderlNdmaoVzVLKnX/Bs2YJ9a+SaXwmP4SotAvsvhQHztA9q G9pMb7vGiN8l1RXqI6LdrEyAtwRDJMEyEk0WVL5sBQeRzOVGC0ZO/I1JRWUtAkVxWTQShkfd NFrr0axzGtkXDMPpT9CX14enw09+wvS423/3b7ropLukVKvW+cVgDMXQ/bsc84QpdlM4zdLR i/3nLMVVm8TN5zGT8KDZeC2MFNFNbrIkHINONDBnm5FXQzdZUKBeFlcV0Gmyn38I/+AUDora yoU0u2Cjffnwa/fH4eGx1x32RHrP8Fd/ebmv3rTwYFjjrg1jq96UwA7SI9bvZQVlXaaJfpwK omhjqqV+XK4i4IywSkrVDRrn5LzPWvRYrONQ7N1lBWvcQcP554+LT2dy+5YgtfDRQ2ZXLAZD jFoDpHYvCGjM/ZfkwBWS5XgeoD/SdW+W1JlpZAVJF0Nj6oo8vfEXlwXWss35JyZN8P32mf44 QP6EI6ww1WKpZ//87Q3yL5nht+fdaPf17TtlBk+e9ofXt8e+vMbAMFhdEXXe6kpIogk43ujx 5/p8+vdCo+pzWKktMA5d9C0+1hJmQL8KtbKYQ3iaE7XlEuEVENFlGPB/pB284NTMsuG4aYPa 5KDa5UkDBkbHu2RsjLDqt/mt1baHzUGK7ibEEOLBNOjvS8fGhGBF4QZGEaYIs4PxuRXE0xmn B4jir4tNPuMGIXRZJFgKdcYDMvUCPKeWQCGCqohMYzyNBlFF8AWYqp4B22+nVAq8Zz4ytoGM 0nxrcscmw5jY+b6qsCXh8Rv9AQOj3tA/PPnHfnvpNxxPC7fZOjVqRUWMqui3URZnKYgOdyX/ CY5B8fCVi5RN6cXF6enpDKVTV8dGjlf9y+VsV/jsAo4AGX/RT4+iDtq+vMx0zsJBEPXIOI/4 XDjGttzaNUxo1ZB88j7lta6/uz88QsTZcynO4RhPsABHlXc2HIaGfWlqq/avjcCLL1tHDUOa KWN97xZjcRujapcXkwgD/dqyl5yO3QbH+TCiaBv0QyhTYXySp1Y1LYbSp5O7uQdjAvfzjlWy cu5tg7sA03sQDJEirCqDPXHp7LV1Uk3ZrpHopHh+2f/nBPO/vb3wWbq+e/ouFVhYxRCjWgrL 6LHA+ISrFd5IRqLcgbX7fCo3COYw7dYtfKDG1NqG3lyBagEKRlQInZSmjS6VtrSSaRydAseg gZbw7e0X1aD3zhBmMkf/ZaCtUhKMYsilMqu17TIDLsJlHJfOd2a/F168T+fkv/cvD094GQ+z eXw77P7ewX92h/t3797J4nj4qI3apmImUwz/aFlgza3p6Zp8F3WNTyI23EQOSzp3thEBTnf+ WGtAXW3ibewdX6IohS07dPLNhjEg5otNaaTt3Pe0qa0HGgylETrigd4fxKUv+HrE7GRMU6DB U6fx3K9xpenu5GjFMhpUA18Dw+FmqlNM89VMz/9jQ4ysQU8zgK+XqVnJJ2kofwg5wUhnh1Xr 2hwvFmGbs+PMn/Qln87elmWO+8kq3re7w90J6nb36Oz1rDJyFPt6GYKPnB61Jg8ZRS8gE/S7 yrQMqErkHWlZYKxi5qO5Kj1HB++OIwTbMc4b0Nf9t4ygDKkqKXNYKK4M5W4Q7kpQprBAgAK2 fiAufhEHemZH2YXnNhcS4clLtt0of88WVgf2lkBQfCVfngwpVaw5uqsDUppNtkox1oYDGUay LpoyZS2HXqdRyg+deYAgD2+aQuNTrOBMA7eCZa+FkXkcu6pMudZpBnfH0lkYBdltkmaNjqfa 7YfRGam8QICXBg4Jvjmlj4KUYFnkjdcIXvLeOECcODcr9hR1FtpCltxZbmkAKvlA9Na9Dn4G sJz6YtPesoimepOx3kgXYAlmRwZcBgatOhuvvx6gvTfjldNjqg2W2VBTVEw6LyV+SHrT1nb0 cCx3T+Ox8B70MI2HbXGqDZk0uLLB51aaL8dUaX+/dSnZyelP+hSb3f6A4h41lxBLj9x934lQ +TaXXmH60y8xxGBbnDAs3tI6dq4pyVjakrMH2iBw0dlXVKATfWEvkDLvkdUcUuHKIhtJIqZd YJJ0xsxDFFvZni5MqCUepurvrN5UB0vfQO7NSVDYrUyHKr4e1a3bcXdehsW1Z56A5g7gfpvZ yVmQXh1FBeyPt44Nq2xe/cmREDa6f+9nh5brm82LP2cv9/8AD3/HryNGAQA= --DocE+STaALJfprDB--