From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=unavailable autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id E5B91C48BE8 for ; Wed, 16 Jun 2021 10:40:28 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id BF4A061245 for ; Wed, 16 Jun 2021 10:40:28 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S232416AbhFPKmd (ORCPT ); Wed, 16 Jun 2021 06:42:33 -0400 Received: from mga03.intel.com ([134.134.136.65]:59382 "EHLO mga03.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S232377AbhFPKmb (ORCPT ); Wed, 16 Jun 2021 06:42:31 -0400 IronPort-SDR: 84Euia/I93GJ9/8/EKpKrsVSFvonR14kmlfLtNCp1mCWfBx3kqTSMMvsxNYn2v2wE6lj5Dw2Mu Qh9j3If81NUQ== X-IronPort-AV: E=McAfee;i="6200,9189,10016"; a="206190472" X-IronPort-AV: E=Sophos;i="5.83,277,1616482800"; d="gz'50?scan'50,208,50";a="206190472" Received: from orsmga005.jf.intel.com ([10.7.209.41]) by orsmga103.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 16 Jun 2021 03:40:24 -0700 IronPort-SDR: jGqas+nNMu+eDk6NeDShUfUcom9vojB7+bG7AGA5tQFiMcoLtpR2DH8Jmd0vWunJxUDjYuxG67 KHI7XXeIJJaw== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.83,277,1616482800"; d="gz'50?scan'50,208,50";a="621644851" Received: from lkp-server01.sh.intel.com (HELO 4aae0cb4f5b5) ([10.239.97.150]) by orsmga005.jf.intel.com with ESMTP; 16 Jun 2021 03:40:21 -0700 Received: from kbuild by 4aae0cb4f5b5 with local (Exim 4.92) (envelope-from ) id 1ltSy4-00017W-N8; Wed, 16 Jun 2021 10:40:20 +0000 Date: Wed, 16 Jun 2021 18:39:56 +0800 From: kernel test robot To: Yangbo Lu , netdev@vger.kernel.org Cc: kbuild-all@lists.01.org, Yangbo Lu , linux-kernel@vger.kernel.org, linux-kselftest@vger.kernel.org, mptcp@lists.linux.dev, Richard Cochran , "David S . Miller" , Jakub Kicinski , Mat Martineau , Matthieu Baerts Subject: Re: [net-next, v3, 07/10] net: sock: extend SO_TIMESTAMPING for PHC binding Message-ID: <202106161851.JWGqcRLJ-lkp@intel.com> References: <20210615094517.48752-8-yangbo.lu@nxp.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="UugvWAfsgieZRqgk" Content-Disposition: inline In-Reply-To: <20210615094517.48752-8-yangbo.lu@nxp.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --UugvWAfsgieZRqgk Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Yangbo, I love your patch! Yet something to improve: [auto build test ERROR on 89212e160b81e778f829b89743570665810e3b13] url: https://github.com/0day-ci/linux/commits/Yangbo-Lu/ptp-support-virtual-clocks-and-timestamping/20210616-141518 base: 89212e160b81e778f829b89743570665810e3b13 config: arm-randconfig-r023-20210615 (attached as .config) compiler: arm-linux-gnueabi-gcc (GCC) 9.3.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/f03864a45f4fe97414824545398c837eead55409 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Yangbo-Lu/ptp-support-virtual-clocks-and-timestamping/20210616-141518 git checkout f03864a45f4fe97414824545398c837eead55409 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross ARCH=arm If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): net/mptcp/sockopt.c: In function 'mptcp_setsockopt_sol_socket_tstamp': >> net/mptcp/sockopt.c:148:12: error: 'optval' redeclared as different kind of symbol 148 | sockptr_t optval = KERNEL_SOCKPTR(&val); | ^~~~~~ net/mptcp/sockopt.c:145:22: note: previous definition of 'optval' was here 145 | sockptr_t optval, | ~~~~~~~~~~^~~~~~ vim +/optval +148 net/mptcp/sockopt.c 6f0d7198084c40 Florian Westphal 2021-04-15 142 f03864a45f4fe9 Yangbo Lu 2021-06-15 143 static int mptcp_setsockopt_sol_socket_tstamp(struct mptcp_sock *msk, f03864a45f4fe9 Yangbo Lu 2021-06-15 144 int optname, int val, f03864a45f4fe9 Yangbo Lu 2021-06-15 145 sockptr_t optval, f03864a45f4fe9 Yangbo Lu 2021-06-15 146 unsigned int optlen) 9061f24bf82ec2 Florian Westphal 2021-06-03 147 { 9061f24bf82ec2 Florian Westphal 2021-06-03 @148 sockptr_t optval = KERNEL_SOCKPTR(&val); 9061f24bf82ec2 Florian Westphal 2021-06-03 149 struct mptcp_subflow_context *subflow; 9061f24bf82ec2 Florian Westphal 2021-06-03 150 struct sock *sk = (struct sock *)msk; 9061f24bf82ec2 Florian Westphal 2021-06-03 151 int ret; 9061f24bf82ec2 Florian Westphal 2021-06-03 152 9061f24bf82ec2 Florian Westphal 2021-06-03 153 ret = sock_setsockopt(sk->sk_socket, SOL_SOCKET, optname, 9061f24bf82ec2 Florian Westphal 2021-06-03 154 optval, sizeof(val)); 9061f24bf82ec2 Florian Westphal 2021-06-03 155 if (ret) 9061f24bf82ec2 Florian Westphal 2021-06-03 156 return ret; 9061f24bf82ec2 Florian Westphal 2021-06-03 157 9061f24bf82ec2 Florian Westphal 2021-06-03 158 lock_sock(sk); 9061f24bf82ec2 Florian Westphal 2021-06-03 159 mptcp_for_each_subflow(msk, subflow) { 9061f24bf82ec2 Florian Westphal 2021-06-03 160 struct sock *ssk = mptcp_subflow_tcp_sock(subflow); 9061f24bf82ec2 Florian Westphal 2021-06-03 161 bool slow = lock_sock_fast(ssk); 9061f24bf82ec2 Florian Westphal 2021-06-03 162 9061f24bf82ec2 Florian Westphal 2021-06-03 163 switch (optname) { 9061f24bf82ec2 Florian Westphal 2021-06-03 164 case SO_TIMESTAMP_OLD: 9061f24bf82ec2 Florian Westphal 2021-06-03 165 case SO_TIMESTAMP_NEW: 9061f24bf82ec2 Florian Westphal 2021-06-03 166 case SO_TIMESTAMPNS_OLD: 9061f24bf82ec2 Florian Westphal 2021-06-03 167 case SO_TIMESTAMPNS_NEW: 9061f24bf82ec2 Florian Westphal 2021-06-03 168 sock_set_timestamp(sk, optname, !!val); 9061f24bf82ec2 Florian Westphal 2021-06-03 169 break; 9061f24bf82ec2 Florian Westphal 2021-06-03 170 case SO_TIMESTAMPING_NEW: 9061f24bf82ec2 Florian Westphal 2021-06-03 171 case SO_TIMESTAMPING_OLD: f03864a45f4fe9 Yangbo Lu 2021-06-15 172 sock_set_timestamping(sk, optname, val, optval, optlen); 9061f24bf82ec2 Florian Westphal 2021-06-03 173 break; 9061f24bf82ec2 Florian Westphal 2021-06-03 174 } 9061f24bf82ec2 Florian Westphal 2021-06-03 175 9061f24bf82ec2 Florian Westphal 2021-06-03 176 unlock_sock_fast(ssk, slow); 9061f24bf82ec2 Florian Westphal 2021-06-03 177 } 9061f24bf82ec2 Florian Westphal 2021-06-03 178 9061f24bf82ec2 Florian Westphal 2021-06-03 179 release_sock(sk); 9061f24bf82ec2 Florian Westphal 2021-06-03 180 return 0; 9061f24bf82ec2 Florian Westphal 2021-06-03 181 } 9061f24bf82ec2 Florian Westphal 2021-06-03 182 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --UugvWAfsgieZRqgk Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICOzMyWAAAy5jb25maWcAjDxJc9y20vf8iinnkhySSKMldn2lAwiCM3hDEhBBzqILayyP /VTR4qclif/91w1uANgc21WJxO4G0Gg0egOgn3/6ecbeXp8e9q93t/v7+2+zL4fHw/P+9fBp 9vnu/vB/s1jNclXORCzL34E4vXt8+/eP/fPD7OL307PfT357vj2brQ7Pj4f7GX96/Hz35Q1a 3z09/vTzT1zliVzUnNdrURip8roU2/LqHbT+7R77+e3L49th//Huty+3t7NfFpz/OvvwO3T6 zmkqTQ2Iq28daDF0d/Xh5OzkpKdNWb7oUT2YGdtFXg1dAKgjm5+dDz2kMZJGSTyQAogmdRAn DrdL6JuZrF6oUg29OAiZpzIXA0oW1/VGFSuAgMR+ni2s+O9nL4fXt6+DDKNCrURegwhNpp3W uSxrka9rVgBPMpPl1dm8H1VlWqYChG5KZ0aKs7Rj/V0v6aiSMCXD0tIBLtla1CtR5CKtFzfS GdjFpDcZozHbm6kWagpxPiD8gX+e+WAcdXb3Mnt8ekVhjfDbm2NY4OA4+txFt8hYJKxKSyt1 R0odeKlMmbNMXL375fHp8fDru6FbszNrqTnRp1ZGbuvsuhKVcGe5YSVf1hZMMloZkcqIRLEK 9qqLsYoFijZ7efv48u3l9fAwKNZC5KKQ3OqhLlTkqKaLMku1mcbUqViL1F3SIgacqc2mLoQR eUy35UtXpxASq4zJ3IcZmVFE9VKKghV8ufOxCTOlUHJAAzt5nILGj5nIjMQ2k4gRP01XHQde Uzu2KriI63JZCBbLfOGuqDvxWETVIjH+8h0eP82ePgcLFTLGYf+uQNp5aTqTUd49HJ5fqMUt JV+BzRCwRo4FyFW9vEHrkKncZRCAGsZQsaQUtWklYfZuGwsltXApF0tcfGAiA9mTUx1x3lsj nQQGQgCo/o8su0nDpzfjflykg+0GRi4lx/QbDu10IUSmS5hRLqh92qLXKq3ykhU7Vwot8kgz rqBVxzvX1R/l/uWv2SvMf7YHvl5e968vs/3t7dPb4+vd45dgCaFBzbjtI1CqtSzKAI2qQnCC aodLMdGRNpIU1w/wOnSCjEijUlaCcxlZoIJXM0Mpab6rATcsOHzUYgu66Cit8ShsmwDEzMrY pu1WIVAjUBULCl4WjB9H1LjB6yyyImxF5c+vl/uq+cUxFKslNCbtkeFLMB92j3fKYm7/e/j0 dn94nn0+7F/fng8vFtyOSWB7978oVKWdQTRbiEYRRTFAM5FxTxOadg0r5M5uCbSMDaFnLbaI 3aCgBSawG27cwVt4LNaSixEY1AmUtRzBM2k40QeYVEdfFO6bFsVKl5el4CutZF6ieSpV4Rm0 ZgVYVSrblhQAmJfEwICwuTkrfSl1KixS5vilKF3hJG3kUDjO0H6zDHozqgLX4UQVRRyEXACI ADD3IH7sBQAbcvWcWgo60rGo8ynUjSnpxY+UQmuGv9PKwWulwc7IG4HeED0K/MhYzimrGlIb +MULvlWhweVCNFR4ThgcQiXj08sB1tuLnpMMYjIJYVJBjGsWosxgR3eewtEbu7YjcNI4fmcz 2bit8W2+KwDFWtGiqxYEKyJNQJ6F03XEDEij8oavIHMKPmEDOtPXypuFXOQstYlMP7zlNaGU 1YYTbtbDpBOfS1VXReAtWLyWwGQrJsoMgFmJWFFId7evkHaXmTGk9oTdQ60kcCuVcu0ICKM6 m1ANgwArOQ/kuOJuqlQYce1OwdoLC6UkkkUijkUc6Bwqc90HX92KIxD0rF5nwLfinjbw05Pz kSNs02V9eP789Pywf7w9zMTfh0fwqgysOke/CmGRG9Q4A5Ne+gd7dOKGrOmu8weG3syQQbIS kk9aoU3K6AzEpFVE7bpURY6OQmtYwQKcUptBObhllSQQZ1uXZaXKwFA7Titj2sI3dZWjEZUs BdMRe/u4FJk1/Zioy0RyG5X4e1UlEtLxBSlTPxMfdC/zBqlNpbUqSlBhDTIFo9MN09GUjK+a uKEl9XLxFbiRMaKhh5AtSdnCjPFdvLDcCAizCQRsSxkV4JxAtp4nsnsnY7tWoXmdxDzA9jOq bELoqHouwDdmDGjAKCwpOOxIVexcnF6CkFSSGFFenfx7cvL+BP/12EXJIlhom0Caq3kb89gQ alZ++3pwd0GWVYRWNTNChShycJESGM8gZXt/DM+2V6eXjjkrMjCZ+QIYgV/Xf2Z0Xo0dCf3h bLudYiMB7xgVMl54MYVFxWpNZ/KNzNnp6cnJEfwZn5/741rJJE9Prx+f7z59Oczkw9f7wwNs elt+88yH7QL0nzLUzawiw+bvL8Cux2626+GwvBGgclFuZB5bG9/vmyMs9f7LFdMIFozkII6w 14XL+vnp9vDy8vTcaY+TmlghO4EggM7mf5/7EBZBRiXWAVRbcCoWjO98DAe1B9t/volIuFyX AVyfXowhqNvjKSRuxO+0sLn1WnCwiVRQhVlYM3wsDW4vf7x4AlemkBGJhTViwd5eYRxVL0Wq vbQF90162k7VLGVSXl04XkCUaA9AdhDiUuU0AFsXT9gFi7PRoIMbAlSB27kRACRlqg4GGNIj x5A0ZYM3LDd8/fr0/DroBgjCCXcMq73cpQWAfZeumrs9uV7dWTM375q0gM1GKuqFhqCrhy5v 6kRuwaE5swbYlI0A1PwI6uKEED8gzk5OggLQxXQvMDbdzZVThGeCRU5YquCrjSKCbbthEHxY b8XSellBPJ5G7p6HZAjNdH2jcqEKNDGnp30HKYS3GUYv4CedEA8VDQsiYwhZ+fBjp37dGj0B IzZ7+jqypBjnqYQyoyU4aj++7NLDZgNAIFBUnKoR3dicqlBZczwCKjLGRMa4CJ7F9hjhnVNj 3krdlq8pm1AwAz6oyrxSOqa59Q0G2HFckBvIk0NXvJrpp38Oz7Ns/7j/Ys07IHpc8nz439vh 8fbb7OV2f+/VstD4JIW49s0RQuqFWoMIywKNxgS6L1iGSIiwvMSvR3SFeWw9kYd+p5HagL1j azJ1pRqgmTSacfFdfhS4TeBmosJCtQAc9L62udAxfoLZkpz88OTCSVH4biqTI01x3uvM51Bn Zp+e7/4OciAbpHEtsW/smoxlYKcUPDNlVLO16Sh9h3UNitRhIID2kbBNdCSKYjeM4xMYnrkY t05KqH4/Q/npPghGwkp6B7MSww1JFi48KjCB1WQXpVAjWcMEem5mMS1iwGMfE6Eo4FNt/jw9 3X6XcCWL1Uap+LuEN7v8+rtErPxw+l0isd3lylBkDlG2hsy/Xv/ZkbmrSAvIXeNmIV3IyBg2 gfn90x6r47OvT3ePr7PDw9t9dyzeLMXr7P6wfwHj+ngYsLOHNwB9PADP94fb18OnQWcSLep8 A/93vGQHqrfah+IZWEM6hOVTDDUxp53EQz8JyvdpKoibyHptzJy540+O0Ijr7vnhn/2zq5Xh poNktFRcpcR+tKZsdFbXG4yplnrUsp9rIotswwqBASzEmqTGJZuaJ23FkC748ez8z+22ztej +LQLuYWoo3xbQl+EbBdKYUra8eKEpNm2jo32AcY9rmgBtY67rKI8fHnezz53cm4MrHuUMEHQ 60+4Qq4sORhM78KD/YaUgJ22FZPBSPWo+cUlIslopaO5OJ37JZcWFaVsJeZmonMmzPGe+RJS FjY/gezG09oGq1W6Oz07ufBHxlsjCWQdGaQciZa56c/zukrR/vn2v3evsG8hjvzt0+ErSM7f Sk5ilHhpFATEGFniJQwITyHa27DRZYuwGNNAC1GSCKVpeJ7JAGJHtwWnpVKrcSnJZLrxKs2p 9pjAIrH+jBOrdDAvrNNCLFLKZNcdcowJVkLo8GykR7Z5pCp2JOeWqza6rjdLWYpUjioVZ/NI lpiE1WXQCWS8oCx53BTqMEcQxrTJnkdn3FBgKAdjewpuM+amzzbsHqU/UnPMDbB03N7HIeZn BMcEyikohgBLa0dCQ2eT4qD86MKH9NzDoABVTh1QpLAj8FA8GBB+x3TFas6qSalc9MTBdEBF H0q7FBkEEI0ctOBYxXWKwCquUtjpuHPwFKUQKaE9FgPrqzLvbKm5VLAFpQjVGvP9qApUgKcg gTqCqYIljp0FV3hrSi5MBfzl8dkIwXjgGJuSeqOPOHXfZ+aqFgnMUmJ2m4yMBE7IFlRhTbwi BVaS3Yp+2NDq29HzNEumk7xeQ3rde40FV+vfPu5fDp9mfzV58tfnp893bV433G0Bsunks2fd kjVVd9Ee+Qzl9iMjeYziBUCdVguwwI4t8oAOXx0YQuoSpQP/FUrvKG870KK+NAbF4/DHzHzX H+h/hud0rgm2B1oGz4ncwk6ryHQMgStLydTkp0O/eAiCBQHYJcB+lbcXCFz5D+cUJWwFXkNM QSgXbPRagTVKmda4ZbEwgPYwyP+Gg3yrBeLfw+3b6/4jBM14aXRmD6FeveAxknmSlXY3JrEm bxi1JIYXUof2G3lr8UnqFpO+B8SbkWuNdyS1vT2JRo8mhA07QtyQ/UJcUoiYHjO4m6CAsCu6 tGo0JSwrrezw8PT8zckmxtEDDgvu0FkM5D5XsQ1W64yFvgadqz0q9bXC6BRMkC6t6QDbY64+ 2H9e2bIQqDSeWc5VllV1e+gG5l9i3oVO86ov0NmaMXhBa9JWfoSWCpbbgjFVCdNKpS71TVTR FZKbswTWi9rFbVAiWJHuaqlsqdjtEtiyZwElfRyyqHR3YbZfselFGSbsHl6uIpAIWBt06f0t vfzw+s/T81+YgY2WFDbXSng1rAZSx5JRLhm2+9bb/BjsZwEE27pdluQ5/TZxY1z8wigpVa5H tFCWLpTbnQVOXK+wOInnyolnNizcVBFGi5LvRt1lcoFnllM9smXQlXBzoGZQ3cZGww1FEONK UAbfZN5ZPXxOyVvm/upI3dwu4ZBmU+QaL0hg8S2uC1WVoggaJzLCjSPGWjgaQmPgjec0k2R2 hJaYlUuan4YIDHukjJtIdhieMmNkHPCpc010hxKV2r2a1EAWBZ42Z9U2RNRlleciJeg9TrKW laDOa3Y5wNRKChOuq9TrUk5wWMX0uImqRoCBR28IXHZQugmF8LWvgzi7x+9HoGsuOV1KkM1s UHenRuvn4jcKNXbY7lxjjL7oVZHouKfhVeRG1l3ZucNfvbt9+3h3+85tl8UXxrvVqNeX/ler +3gHNvEVq8PBFBL6dpqlaa6GGdhndcwo/lECl41Z8KRyidKepO9thDtWJvWlv5qXjUUJdahB jaDYByhjADGyHEPqS+8KIELzGMIG68PLnRYBkhwr2DwA8RS7g9CNA8sSslhFJcR3IbjZnqOF zFz78z1jBfRaZiar1/NpCiMWl3W6aTgnzVlHtMwYD3VOp31bJ1XUoLLBZ6CxDWxV4YuaPgAY zAS+0cHUO2MTl6E6GkjPbF4Hpj3To7tFAzHkQKUo6JhfH0GCqYo5J7UbL+2WnvPD7343N0bU Cg13L+URp8ixkPdD/Ya35/0WP8gBMXKXU7mpN3wE14wR4i00ArqLwc5FSPIlDkTVTuBc4kmH 6+M6CKbokgfnqIBLGfluAFFRMb98f+531cBgzZqldntL5yXtJZpbMMQgaxi8fn8yP/VuOA7Q erEu6C4dmmyKJhYc9JWqDKXO7oOPuTtFlq5cZvD2M+SUqUAEFeDNnVsxkH06lwH0UgXx12Wq NpqRrxyEEDidi3PPUPXQOk/bX+yFYYm3CBhpZIYmeJXcje9BLfshnDjC3hzvov3rt8PbAWL9 P9oL+t45eEtd8+g6sDIWvCypy5M9NjGcagVKdaSVLqSiWlmzTR2ldgSFe6myA5okooDXY2Ap rlNq3DKiLlEMgjHjrsBkkj0xnNuRzhbkFGKDlnwMh59ubt2TFwUpvutw8BEJZIPfYZAv1UqM h7xOSO3gECSkR0dMrsdEYSeMGpFawOUyGQO1JFu38BFD4AWxiHSUaay8HWFYlKPg3y5L44LG lwru9y8vd5/vboOnyNiOp6OuAISlObIq1eFLjjcdg9wGETb+Oae6JA/1OmR1NvfrIhZkzw7o OyEtQRiAhNyY9Sj97eCXR9pB0rIZz615QDOGe+/z3C7c6/4dPMOnrN4Ff5sPWTAFa4t0w0Nm B+Vd6XfgebQrR7rX4kBqExNvCTJh3wdRbfGI43hjznIZjyfN3HdLNo/kZVP2EGP4wqNeWNJC RWPCTBYja4ZwA7FmSnScM4oLfMtP9CHHhRMLX0UieFA8ouGmog+4e8Y1WX3q0BiGUGPjY83p VsBZpghpyIQQRZMSYCmIkv9YeaATO8CReL+jOeoDWprWfEySlbyrGx6xgolMnEP2mDsaEud4 edcofNrvTiWCuABCPBaviX6VFvnabGSzEfs2Dhi9JxVwNjGR46U7SFd2DMGpUjryau94QigV 1ZWPGBWEQBqpzFfBSKhh/soipF4Y5UNz4xidpQnsVTNrCFZDdUjPwI4ZLGcAkpDIdVE6XeFX bbI4gIAOBpBsKQP2uJHe2PBdK5Hhlc96gbNinPYPzVtH7GMi3nAohnKfM3SxxXPPXe0/JYts AOeWsGevh5fX7gCwLZGPUAHCLXv3wmdZwWIblzZ3kPa3fx1eZ8X+090THv69Pt0+3bs3gbwc Ab/qmGUMHxKt/Q1fKCeEK5qKZ3Pravv7/GL22DL76fD33e2BumuYraSh7NWl9o+P9LUol67P g3TUuH+tpPlwsmDePMghU19el8VWQDjob+AdXljE2wRJTNsPh2QZU29TWgLNHE5bmNCOQ90x 78rWUWn1WuVbbvisC0YFPoiJeBYSLza0OgPqP6cfzj5M9CSNsqWOZtUgF4wb9kb3x5B43TDp QrYE3yblflLpYYN9H+DwMWHzjJl+oUew6CwgZfRZAjuy0O7rrBbSVa6G+kOPyP8jwJ+litTe nmxUEim2K0YftEGbFacySzzDKCqveriRhUjxIHAQdbLAVNmp4DT596ktsYHzFmNaFKNIFR4f 4jUFSB68eL0n4wIvFbXP+mqVV+Rr9I66ENcVsGdfxuKxjFjEETE23iVp/waMJcF4gZhPX/vS NNL+dQ+a6yJm3Vk8rU4d5SaIBQbj1NQfTonpdigMofHMfGnfUDTvaHp7mKyka+Cb7zoVscdx C5a5rmg2WgJ8tzIZ1Xyg6pScycTdjTIZK6SFQg+0s7XYyrgLKPSyTiUBweOHstyNR+jwuORu 9ETFX4mzC+EDQo+FLFnqA3MuR4C6Yu57FIQuQzKzjG0hrfWx++dZcne4x2e7Dw9vj20OO/sF SH9tjbBj3mwH7h/IQQBGUBVLW46GFUnwuSd5pAcYnV+cn/v9WFAt5zzsBRBnZ4igV76lmNvZ T5JkkhfKXt4LOnJpinUgZYQQUrXghlNXMuX8FH4yGkrRj1exgY1p862mBNyCj8zJnCWbIr8I RmmABEsW8X7ezdmJrH5IU7q+NJUjepmSc2wy1KJb2EQmFoNw7GUOJ3stFOyt1A3GEyZTtXbD JIiaSqXSLpTvlH/Kh7dvlZ2FaR6IeaDww/kjDsO1Ci7thZaooqtRiGeGvOiOqFq7ZwQ4Rmb+ n7MnWW4cR/ZXfHoxc6jXIilqOdSBmySUCZJFUBJdF4a67Jl2jMvlsN3T3X//kABIYknIHe9Q izKT2JfcQRwAmjgKcHAD3TITZqUtEe3ujqkJSTrrqyJLqNWvgdQ4fwI4LhHgXeI8oWX2F/0E /0c+8SJs0TtQggrRwNkkLNkVaA0fxWRphEUbwl8o2YFzguVRkDuKQIB9//n8/vrzCZLk3Nsr S1TRQxKAfqjOpTnKXbFvExPUZkkLPkah0yGBgchl31AIgqIxy4MPkFRcWrN8xalGZ421IsGV mLNERq4SoCdNW2cYDJjyxKlcoqidFUonScBwhefgE3hacAm9K25hvCJnZvKHt8d/P58hogAm KfvJ/8PsyFxRTn62mp2fxxBxs0IOb8AXzp4FnKrALkKxuUQUkTmqhPYrpz7WFEkbWOkAjH0H 3GMHnsPXmjRT+Zok0hIknHHc3DqN4LdCU2SrDzo9UhW4iU/QHAiDwwdP6SHONs4hYUY38bXY LMF2ac3VCMZnbMJea9fuuF5aUcnqCry2hqQ75c9f+YZ/fAL0g73GzFq4UM53TpY0BazXJVrf leJkeZf7B8i9ItDzsaOHnM8C4Ye0U+QUfoZN51vxfC9iuoxtMxRVLpJc2dfECFdJnDyhS4Ky 2QkxzbdNOLrqjAxoRmum9r398fj+/bePjmHIFSm1b12R2YX6i5jY/b6Eq8Lg8DmIFvhdzs/i XF+pNCOJ/XsAP64hI7qIxz+Ttajeffp+eb2/kekutP7cgVlZb4sADDVmiJColmT1wf0CdW9T qJodSGqe3PlqHWIaE7IJF1vNPM9/RyuNA+0ykjndt9KBykEDDw/wWtTp26QhuZ4ySgEG4dUE zjD1sfsc6QkcFEFRiewvbT90/SDc05HGT6XRhH+wl+lznaIEI3Xl66I6Umnkc9uZHaiuIBrB FFo0ZFIbLFMYXl4e77m8y+R6dNbx+GXHSLzusWZmDRvQ/DH6p6sN0kb+oWI8LEzbC0ykbxpP Q+dwtcfvis2+qW1v5KOMI5HZPubqDPAArqZGDtxTRxs9XmWEDFSlvpyVoF1S5UnpzbMpqpkC MEVi4nH8pyDEp5/8+HzVnOLPYrfq7Z1AwpM95wVpWoei79pkjqzU8yjM32lJTzAF2EQH7oSt 1Hu54ZKqpZOODAJxwBlGCw1QKJnPCsdZUM2tRigeW3LyMMeTZrL1OOVJAjjnVTGQXaVGswI0 dPhaM9NHbixFfsovTww7ZaWCeLBjV1snCwMm9Kh7dhV7I4xB/jZlYwU7Bw6IUuMsUt/qqXoV jGWGBQ1MCTKygy+VnWlGA+Su4IKKjJREuQPPvpryzji6m0R5yYPTe90OpSHSjXkM9oSlnBLn ytIuGJIGcxcSmF4PYuTcXckvmWoodZ2yyIZQpEQ7V+iBmNOhAK6WbkTA9a3mGB0Zvffa/VxX lZPDaMLuK1SHTbvpMGgur++PQuPxcnl9sy04HcQNrsHm4fGwBwou+qw4//4Blcq28gGViORs uaTAT5vO45QtWsXPxL9VUtdi9wQQwDJtWCmL0eapA8V2LpLGXEHlpBXDfieDyz5/CrwFDMdK Zd8rDCWBSwh6vLoq77ydgoXGVDooTxZDd0LFjB7fIL/CT0hzK/MZdq+X5zeVMKG8/IXMfF03 nsUjqidgMhAp61g3R7G1Cf2lrekvu6fLG+c1f3t8cS94sRx2xBzYL0VeZNaZBnC+JWwmSn0P 9njh3l5XzEVy6fNsBi2NmJTfh3cdlzzPnpwEI2HpIbTI9kVNi04PrAYMnI1pUt0OZ5J3hyG4 ig2vYpdXsRu7j3bNK28nLcoI9ycf+0mC6+gPvsYeA5iQTidqj/vu9AU/8kvc0WNaHjRnnbPj AMOZp+TKh8eOlNauNzWFAlRjQpE4m1JWVIaW+cqmkBL25eVFS9gD0YyS6vIdkthZO6cGFXQP k9cou56+Mw93jLrrXoFV5LRvVysisEaJoFW7FJbF4SLL/TNTFZ2g8VTQsTheLMwG51kYyNSD GpDwVq6tjmXEBih50+yoFLsSLmHdcabZfz8cM34dHX2Xg1hew6nlx4gzCqD48uXK+2gmZWbO h6d/fQIx/PL4/HB/w8u85kUBNdIsjlFTJUwKKNAGRq3hUXlT2K5MdGcd8UUp17Mx9Q6I/7Fh kIGtq7uklNbQ5WK7srBFK4KzActnVSkpH9/+86l+/pTBODjWCaOjeZ3tI3RgPx4zafnjUpG5 XQAy5jQ2T5iqqKzcYcaOP4tPZ6H1j1/4hXp5enp4ErXc/Etu5lnpZHdG1JzzSkpiq9VtqoQC Y1jqGdYnXM23ZGg3fsLwecZi6yYaxeUg5WaWRWFuTEc9ztETCU3aU2G/DeFUXWbAJkchKqrP Zc1kaHM6ijpiTXjg8Ssrc9qMlLugErvgenPrvkp8/I4g2DeUDN6adpyVJDvcljsRnXarYAEW yQ9G7jDsyqz7YHzz5ESq6+uq6/ttle9ohsw/O1Y9QeAg48SLJdpJ4D8/WBmevO0zQU8wm+7c ZNNeNDe3o1E48K6ECFIo1dEWez0rJgo4zsGCdp0qS/ICT78/7xt+9iV4K+R1Uu6NSuTV//j2 3TywGHWcNady4C/DUWHCjKpPZ5EQdltX6o0gZA1NaMlkXwt0vfaRSHAxu8dgpGnanVvSTW6E RZbxw/3f/Dh3k8lO3xcZtnQ5FDTdh4RSK6e+hwTi0q/1SFGnyoV3TDKBtHByHICLRvSjbCDv 5//If8MbzoDc/JC5DlDBR5CZffoKEbyYkCOLHKqT4VH4cYV6GcfU2uQcMJxLkbGHHSBfh3WN C4K0SNVTaOHCHF3AQmY86pWJgGJfHgu74sNdU7SWeeGQ0ozffqsYf0QDzxIrcpFDyvYp/zqX R83c7jNg1utL0IC/IKaQSb/ZrLcrp6CBczNLF1qB6G4+VmBG+0um5EQLw2Q2riEdPp0GiIor j8O4H/JGf4BKA5o6vfxI6Z2pqoN0RZ3uztuRHXWYIgHklyUu5pGMbaOQLRcYHypYhoHpWVv4 aVnW7AjegkUrXDo1NVozkNJw0JX5RGt+n/nYCkEBC6/FA0+bnG03izDRfWYIK8PtYhHZkFCT QbisxkQCbI7h0omLSA/Beo3ARY3bhcG0HGi2imLMQJWzYLXRrq4GwrUOuo8KM7htJrjpvjAW V34eevEYAxhbfRbF0TRpao+VpwPLd4WeWidUu0SeyEUDUu2ba9yVGD7NISbFK6yd2F2BadKv NuvYgW+jrF85UJJ3w2Z7aArWO7iiCBaKMRlPaLPFmlo0XXNGC1a4sxu7hz8vbzfk+e399fcf 4nmPt98ur1ymeAeNGJRz8wRH/j3fi48v8F/9ma3BzGrz/yhMs+GolVQS5vcDlA4ioLJosGBE 5emufnF2dzjd2r+HrtOVU2BPTMoM3hUyPe8Epu1Y7xFXDkmaVFy21s51eFvK9Es6NUnl0WAb p9tcKKSwyye2gGWMjKKdwxcAcpDhSrNkiHygGaKODHtGDSKTb4Jou7z5x+7x9eHM//zTrW5H 2gL8sTV7mIKYyYpmaM3u9LZdrWZupPTRtd3eZUOfX35/946HcCzWTjf4OTohG7DdDqz4pl+5 xDChKL81TEUSQ5OuJb3CTErkJ3i+7hGewvnXxbil1Ef1kRXS2IvCwYVST25jYVnWFkU19J+D Rbi8TnP3eb3aaPeTIPpS3+HezhJdnKyopBFsmb0tfNJQkePWMzt+nYb8/La4S+ukxWMDtM55 m817BQlctI09Qga+IcvaYIFnVITXOBPk2E2qoQlSYVanunw2wfe78BZtxr4lGKdo4AfdTDtj jqQsC6pzPRNOJMYyIj4nFOOnyfSiio3sqP5Uz1yc8IX1IoYwChHkGd7NqrFqwH5Vlro/xNw8 yAJYt6kPlVrutjMWUsihVvS5d2eS8x9I0d8ORXU4YhOXp1t83hJaZKir2lzdsU1rLq7venwB sngR4NzkRAMb9ogmbJpIdowkq9Q+MkSKHP21J/EbmE3IqHdOOLu4dHd6Vx+zgzxAru1GfhFi 3iWULB2uWQB9l7dAMorZlgVqp/OmI0T0obbgYa7YBZtejwtSkNCGRAunxbvI82yhROIeqRIZ YzygQk1PCB0ur/fCdYP8Ut/ApWWkbjb6h8hzFoX4OZDNYhnaQP63KflJML/UbtPcgWakYYYu VcJLknI42mVJYAXjWVjFol0vgmMp7uOtCmmzAW1cXfIBSRo0F5cag2O1JOpjAyEMOQb8aI0s bHJbUB5hQ8XieIPUOhGUS/S7gh6DxS0mJ04kO7pZBDqnhK2XiYvCeCB5zXJm+/L9HVwZbaHZ 4HmN96Nqvo1K4YNSMZlyX4+b7kYCTVw9uzBON4Mhb2lu5PeE5JHbzdB0d4a6Q4pIAowulVI4 +4F3D3hFOewGe3h9vDy5eiV16Il0nZmpCFWojfV8kdRL/Hz+JBBvslwhrrg8tywhoSlf4uUi WJirzEBp42S3YGycfDagoMTj5j+WCRoFtyahZ3Amw8A2+gVvYPiSMB+5UVifS7ZCj491IF/O 73jIJvkLYQnl23TvtEzBRWAS0y39GP7z0oP1jcioTLfbLeBDl2FPASqS0SprfyrgH/eX0N5p Dbyn4Gsp9K8kHbZyRtTHlU6UVasGLLAH7MDFB+KOsgDPn4U43td4hdb2H4o30qyNK8h4bVUD eisjWU2RUfrCMH+EcYUz6pRDhaHBt12Fum1fVHjoiiI6dZsYfc9M4WvLE0EDY5Np03H+Gc+r NQ5rllU9VoFE/I1NmQUrwuB1EXQaJrQfY6pex91FaFq0eYJMnvKV88H9R5tkMb50yd4M28Tx VybWQzmkd02COgua312rXZRHk174oDtnlU6UJscckhR/DoI41B8lRGj/xkIBZao3SnZc7j3j F+tHRJxZckqymtYi10ub+WeO4/i5IsfEPo7aJnQ+4LD5IIrskwjMzGUzhbH6kH9j7XdcPnO7 IsHe3tCiGr4FUex+17Q5CvQfmmDQxTavMPR+2H75AhW6HCXKV299dvkKDruyZfhW9rcD7hu0 FSNCZA8Yp9854kYidJVPvi8G22f3NutamUHAaYIMM6lyGacz63nrPpEm6RJ3rQA8pPbrjDLv qkykDNrrUeODirsfGfy6zHeE33cG+61DVVJ5ZLSrYY/eYVX9rda9m6pjWZrlH06Zcp63YJm7 wEGDaBkhNYwYS162nVkim4QK9Ti9pniYYPIB5s+TMVVA9TaVDdbvpsFVliqFk7OOCfihHPi0 lnrZAipiMsFCZMNBJy+fNkExrLMfpxdIqZSek9BjCkqgY8QqlTGyc0o7Q6q3vPYoWpvxCTJf tHTCGvGKbsYkcUo9iROajMLN7CM0i0u7icjoQ+p0fkaDLS80VCrVOT12XY3rlKqz4300rtGz elXHkDUlSIR8cVldvlIxWxgnfJosI1y5NtPIJfQBEbDlbbXHR3MmE+fytU5MXjguorvF+yCj hD+oGCb0ar09aQ6FrpTOOzNvLuTMJZbrkoo9BG/Rm+9+NcJ06mVWBCMkhFsudG/WGbrUZeSs DZe9rurwVqoZeosTHnTJEdYj9xn/03iWSIcmYRCfEAas65C1sbGQdZzjB4jQEA5Rz7+hZVTH U+3bF0Dn9zUE7Il3APxieizV11gN66LoWxMurTHRMCaT3pOyvDNCc0aIMKvrM+WqlzRdqBri 9shZJojhkHFsrokozBC7nd4gGCdhHwI3IBNsv/osYAdOahjYOFA+GCF9SH5/en98eXr4kzcb Khdut4hNX0xxm0olocgtWlRoYmxVvsVizFDjsYoRXHbZMlqsXESTJdt4GfgQf7qItti7QFr2 WVMahuCrHde/V9GXoGYzC2bUWBdihMp9nZLOBTbZDgMm4zRACyalpvliujp6bnh1HP7bz7f3 q3HdsnASxJGhj5nAq8gzaQLbR1Yzab6OVw5sEwTWnBxIHx/y0AQSqbbVIUxPQAuQhpB+abe0 EnY07P4Q2BPJScLX0tH+jhEWx1ssy73CrkzjhoJuV3g+CUCfCMbOKww/bfQZfPvr7f3hx82v EHunXPr/8YNP2NNfNw8/fn24v3+4v/lFUX36+fwJfP3/aU2dYDSsAe+2gQuRSRiNpOoWUd/r Efbi4MhouNHlMQW0U5WM4Nu6SuzxUlGSnkHJ4GR0977yPraABaSGEyHHtp3MQouuemrUyEbn XG81lguLwJI9v+zLGrOUAr7YhwtrQxe0OFkr3e2xOChlxjqZIlA3xskdsz+UiWl4lnBmjROh exvAj8zGuRZI3RjaIoB9+bZcbxYm7Lag42Gon5MevbbAdavYLpl261Von8yn1bJ3CHvm7G/J dXtqq2E1ON/UvkeBBfKM8wXihMkS1G1bJ6F8TTdms5vK6kfTO3uh6ZOra1M6KtrrftKWmuCW kMyugEVZuAwwpanAHrj0nZLS2TqM0K7AWXSBblr0bR9AWWtd8PE754CW4LWvkGO14vJZeHZ2 G2eQvx65eOR5aIVTCGPDdeyQNvijTZzgWHH2nth7aoQOO7tBU+4mb5VniisBAefmizLRpe9U 6ctma+8TyFb1eXrekfORz5cnuFZ+kTf/5f7y8u678R2XZjFYSc24GE/HQuv33ySzo0rU7imz tKIsbq2na8VGllyUbw9Bdj+W6DyWl6sxFouZS3gCKT9OZwUJHLirQtYD79DLHAu2SydCAozY ByRO6jqte06PIt1hFpJccsgc9aw7584ITF94yswvFZyShgjEwbzKWOOxvTQUdc7U7xj+wxAp pEsGI1a42gx+egTnVV08gCJA1EDb0DSup2LTNbycn9//gwkbHDkE8WYDbwCbT7HKzfEsnvJs DnclSW/Aw9D7EtT7T/7Zww1f+Hz/3ItId76pRMVv/+uvEmwE6JS7zdaK4BxO1155jReecOby Hxz+wBxojDD8NlKpKoBwYYe8Lyq8Ig5Cm4K0X1W8zriyxJpVDMnsbgE1sju2w4w2UqiznB0n 4HBCnTMArTJQmO12cokIIE36dbSY5U4Zg/Lj8vLCmWIRd4WEs8rY4u6wxjIsyQbO5nYdnJ+N 94z0xupcolkRcF7oAhZYzl35kTTdrNgaY2gkuqi+BeHaHpIm2xjckoT2mdMyzkL5iq7dobYY FTknWYIdMwJ36jdxbJXRw2gNzB5DLvsNOzPu6cpMToKRgD78+cL3qnHZqNjxJuY7z65JQs3Q FG0lLTBo6AymhCKlCAVCZNMrqI9+bdfK5fqNTDulQ7uGZOEmsIk7ttwuFvYFaY2N3B273B0z a1fA+KCx8xLdkm9SeNOhac77ENDzyd4uyXYRG/qCQweiT4NafMQnX5Lq29B1pVXSJFvowLKJ tsvIWZNls1lH/j3Dp269MhWOainHXbzB1BjykCvDTWbJN2pW2Creosy0jg/tWftK+83KLe1c LheRt7Az3Wy3RvQJMqdTvr6P5lpqXPzHT9ptPCkx5VCW/PTCTApqDR+c3okEnJDpzJMPZCQq JBUa6CMnK8+iMLA02k6HRY9Pj6/vv/Pb2boMjIHY7/nlkhiytOwhv7SPxpvfaGnjNyKFlag0 +PTHo2JO6eXt3ajyHIwPkEBwQ224dM24nIXLDe7LqRXQY1YlvZDgTPHyPZtwJmB7oncc6ZHe U/Z0+e+DscTOoyoJ3tXAJOSJgBmPoE9gGIFF7ENsvAiRwch8ocagCCLfpytrqGZUGPlmYqLZ LDAFoVFKtPDUHAU+RORtUhQNWeuZfo3KM07xoscRhlrHRHgauSkWSx8mWCNrSK2V8QthcIWk /dbD6TOY82pZuFp4svNqdKBEBOXi3yL0JsjV6OqsKOtO/kCGWicVGufJejwPiE7TggjRers5 pg/+oKbW1c7oaJaFuBJMEsGTFeWd+7GEu9k3cbLDmeIZhPNEEs4DkID9TIHmk15xzUmewctW /MDBzGv8st5sw9guUeQ4dIoEQXEPJhXOwixW+LWmqoK3wjbbZYwvlJEoO4eLIL5KAvtihd3W OsHGYDYMDCYCGQQa2zDCmf6m5thpA0iTKnGA4+fpV1gevRdh2gVt5CH/inVmROfdcORLgE8Q JAy41rlkG+iBztPk9U24QBpnw+VvZ6lxKGfud8eiHPbJcV9gbeWLKlgvltdmTZEggy8woS4Y ji3nPDtfduaBPeLEOl7gd8hI4+f8RgpgbMM1Vj5gNpurxXtzkMxtFIvmWv1dtIoDt+dgZg1W YeliNGYbG5Et2hnahCs09/FIwBfbMoiRKRCILVIbIMIYrQ1Q6wi7ujWK2FddvPFUF283HsSq R4piNI2Wa2y1imUMQxxul9dOi9G9zV2ybRcvosits+34CRgjbeH3h86QzLtJXS1Iv/Ltdqs/ ozyfs7CnjXxr4uawfg7/R9mVNDeOK+m/4tNEd8xMFAlwPcyBIimZbZJikRQtv4tCz6XqcoTL qvHypnt+/SABLlgSrJpDu1r5JbEmElsic5BD2AnSeNQqDqHEU5HzO1tvYy9PRmcIWei5yp2C guDjY2GpXIdgLaxyKFanMhDYgNgCUBcvauW6IXYFInHExHPwj/sQv9dROVysSAwIiDXV8Kep hljT3PYuXtKOrqfYpeo94AwcwfVLDRaJbPNUIgzwtCetCjRXjtnOtOes4a58rWz9sUH7Dlz1 NoPNuFvwpOxPUrQncDO6ksfE1nQHs4pZF2DeQ7hJINJk8zGMRi/8O3g2ZQLwHP/oYzXchi7b 52AOcWSOiGx3+Nc+DX3cvl9wVKlLw4jCshBLYFf6btThXrIkHuJY3qGMHGzJlpi1ZmRU/G+L 28BFJ+a5ITdVkldIA2+qJj9iaRZwLmxZQs88fRSaaf6Rqu9PBZWtg1qXYEIB/o6TXY4VQkwq +AJX5QktQbAUrhjLnQNos/JVA+pQUuYgLiK4HCBIM3DAs30RoJpIQPh2YRZLtuojazoZGAIn QHLmiIvMARyQ4wPIQIz0PKNTN6RIK4N3GzHysZIHARp7U+HAZIoDmDMiDqhrN7WM8dpgqdKG Onhh+9Tmg2vmaDpCo5/1VhsyFYCd5M59XgUUlYUqXP8Mm+MYFektRkX6tqwibJRUEUWpaG4R 2vJltdrqDMbGSxWjGcc+oZ4F8JAZRgBIaZs0Cik+7gDyVgdV3afi8LDolKPZGU97NoCQCgAQ hugExiC2H7e9kR95TDMig2efpqcmsvpcWCq5jfwYF9em2qCRTudv78HXWG1Wr2UrlE3etg9N oa+m5xkcua2YsU3fYZf3M87WbEhXMjI+ahlA/1pPL0VkZjSqRJYrVc7UHDKkcrY68BykvxlA XAcd0QwK4BhnrXxVl3phhddtxGLMaFRl2lBcJXZ934Wr81xXVUGASitbBrkkyiIX84CwMHVh RCL0e1b7iKxry6JOiLM2QQDDEV/F1AklP0m+T0PsFmeGb6sUm2P6qmFbJwsdEQFOR9uAIZq/ QJRldevHGHwXla+hSIIowJ/mjRy9S7AN19BHhCL0+4iGId3hQORmOBBbAYIqAQ6tzXWcARmd gg6KCaxSLEmXYeSjEaBUnqDGqxmQ8HZrQ3IZ4tNDohRjJE0RSdGOn3h4/Ctw8IOVdWLKq7zd 5TW4zBgP90Xk91MFzmaNNG3L+gkH/7M8VlbfFk2HlXwKSb3bD6yEeXO6Lzrc3gz7YgvbRh7+ ZqUQ8gc8OBL3+oQV5peTVEpr9BCHN0m9439wGC9Ilg/bNv88ca521EG4UsHqUVWW8887upJ0 u0/vuOPgRdAmBIKAGtSqv5OIo3u298szmIq9flfcpnAwgcOIou6p5xwRnvnmbJ1v8VGDZSXC Fr1ez18er9/RTMbCT4GKkOZYeNLqVHcrLQYMXasMzCl2kK0IFo+YZkmnLi14oCls7BerhQej prXeBtzD0gXAX/kwaxO25cAq/fNqCac65+9vHy9/romAjWUqg3yjpong54/zM2t4rPPHj7nt eA+KVi689TtJ6cPr+rU2v7tNsgR2fQd+bLfGir3NnbLpNkz7dl2x0R7Hd2jIrLRKZHaJrP4S UXt59GQkcYXDlg3HO/mVCydPYdRkI30ZqITuVwqsRcngRD10BifWGHFMeFcl6Smtaguq2W8K TL/yXZ7wff14eeTRmYzYIJPC2yKBLbbZ6A5s1+DuHYEDToDldVFTceHl5md6aknSkyg0fenK LPB26dApThCAzmrox458acGppsUaT0S7ZVxo462oUqoK3lqiMXx49YpUWTHy+sFRLMV3lvAR P6kllsO2mcFXCwi0gCA0atCUK1eggTXmHdu5UKPJxavoU2lxyMLrn0LIZK25RqJ6i8wBfq2n 0Y4sh1Y77BUAYfq2w6UHjAgbo32ByjLFXxKA+7pCfiMIhE61UIN8RYyExvI2g3N87gKCxhJh ILdeTKu9EkMVAN1+EWhR1FSR42BEXy8XJ9ssYIQsHl3PV++NdIYwDPCoSDOsi4egqmaKCz3G L7RnhshbZYhiBzv9mVHiG4UZr4wNYqQR+0A7dJqo8UoD5fWWuDaHDsBR98fcNjDbvD+ohcDs ASaaxevtDOtqmqdXgVW3LfvZHlImahe/nCasXA11nadryrUrvDDQHVQJAOKAiYGhD3jsDIrT Kx89j+HY3UPE5Fi5MEg2R98xdb8+3cDTsBZ10sAZHrpUiWbCaD2EZ6PUPzJNkyaZVvzZulih gZ2FXiGWTlkdrGVrkrJCg/qAZbDryJYF3FZY8W4oKGoEYp4np0eWsHozA3omPJWZ20mjCUeB TdAma2etJQ0bZ5mKzZ0MY7qPYnIwGsJo0jZRNYsfntYIJYdMHTYMCBxvddlwX7okpOgSpqyo T+0abHGwZmuqyhzEfVgGwRG3O+R4GtAoPGKL2gmO6XGj1X8yJZdo2uMLviLRbfclojl6084L S+LpFbivfNfBDkMnUBcNbrEeIrTIoHmOobMZlbpH6zH7xOI7K2smyWZeVgj9vRe5NjEX/r/K hvu/0dQahzjQGcjWGE/3aRZTz5bPaNiq9Ykgmn2y7KW0DyYrm5McV6PlttXNItuyiwrbwn7+ ON/BYYr6WnMm2mO0zxzb4pgzMdyXvbh9NhjALdAhES7PDkorLzxwIsQPhGQupDhsebTDdZbC My63kATAHjQKMCswiSfzaRxZvq/ZP9jjYYll2u9gn6/YN0tcfCeymom525Ewc88jdai2sVAR eXuhIMS1NCjHMO0uSUhS+9THM+VYJN+VLpi+OFqQoivZTma9FxlPQEI3wVKGKT90rQjaCNwo E21vQPDazcsIE+lT6kexDQrCAINg8e9HNogv++2Yb+lBWFkHHnYxpPEEtsRhgW+FiG/PNkaj F2k86m2bDuLGfnrdLesnnQ29KNGYIgcVD4ERvG/GrbK60FHxUL7fVqEoxnNsoshHJQiQ4Ghp NbY5+sl4nXdVBtJsiqRDgTSJPR//ZtkemdjAhr4lK4Aii8hyEF3ySjz3FZYuPwBtm+rWCsKT dyt46DanQfHbtDDI1/VS6Aem9PuifsBrYn+MKPH0nuIISUbUjZ+MVAOuDDpSNQmeHECdi0N+ FYUBOsp1M2IJWTZ5Jlbu2ALTwYvIV16b/V71XaAzDG2+3Ry2dobm3vI1XxGehkp2wyjhrNRO gE4cDIomB3s4GOLu5xYutiHy3cAS/Vxh43vGVckAJmIZq2JfSFDpwDabGur+Ugkt72ENJmLJ yfoUYuEx9wsKxlb8q5/zUVsmm2KzUdKwHoOk4wnJ0m5Aqfd9sVX8wlQ5OBEDDF5KKc5TeBK3 IZUtF4HGXSSdEmVRA3TLE02e9uhzv/Mb/auux82bBVZZ+g9Qw0eOUqWlOsv+RgbYir/sLR54 JsZN1g7c5V2Xl3mqHLKO7hu+PJ2nLcn73z9kJ5hjwyYVj0Snt61ARSCqUz/YGMAtF4QOt3O0 ScajmaBgl7U2aHL/YMP5mzW5DWc/B0aVpaZ4vL4iEdeGIsv3J8X/4tg6e24Ur/jkzYaNuQU0 Ex/fSn+5XL3y6eXjr5vrD9gfvum5Dl4pie9CU3erEh16PWe93hQ6nGSD2EjKMiUgsXusiprP n/Uux87PBGt/qOXq8jxvSeBppCqvCPtPbTWObO/rfZZrhWMTCNyoItQMbuV2FgA6oNjJTY01 qdLBs89Fo8H1PoWutPc4U26fDyBkoqWFE4Dny/ntAu3Gpevb+Z37rLlwTzdfzCK0l//+uLy9 3yTiiYTsBFC+irYWnTNlT38+vZ+fb/rBrBIIY6UFZABajT6v5dzJkQlK0vRw3OIG6mfZQ53A tRoXFNyFL2fLwVtnxzROwRRtue869gd/5ArshzLHnsGOlUeqJ+suw1ih5wFRJ6dTqs5gyKIS ZKk4/3j/UEa+Nj76e7bfw2a4CeaG5WaKn84v5+frn1B4i1a5zY/FAfzIsTY1RuwI7ttirw+N U3XcmOM466nr+xY9r5bp07e///n69EUtmpZceiR+hFrqCbxLktCVLZcVsjp+JIgrC7kTly6G m/9EuEhTbGVATpIhdNF1DoCbQ7bLe23JsAD6ABjZE8wHO8dJyjRVmR/TfaP7m8Rw6wkdMDcl m4KJnkTT41aSAsMPwvnYBcsTS05ZtmmLTH1+ItNPVVfkNZjDWfuUD5I7tl7oVcMuMVFPqsE+ FAZ97E0Km2ids9CROY7T2fyxl802FkTR/WZ6VVKWe316nD/EZhOiCqvexagYe4GFfBoGHeEz X9/IOXvlsogR5iKdOaDTZJuD60nssH3UA1UzrtL0PNMky+tUb/GJfEq7grTHNbQ/IhpGuIA9 DU3BpuCiY1XAPAkgzCmTnIN67TNyVYHHGi1N0UvaiYf6PmfBvqeBfyq6Ansnpxdkk0+lNhOy vkQce/f2NOwP5mdDgYXUGkfTMSHhX3ojC4eibE+hCzdbVNR5l3Rsf3DQoaTyaMi2y83W6FIR 6qzojBWhMAtKO2NmERe4CNAzqmqMJ9NPlut6EOZ5xSdk2aoLDZEfUVjs/3xAcDtQhqJ97ZVi 3W+kPXVUhYjPULB/rR3IviEV9lHKFrF4Y0A15WIY0/EUFvrmtzlW9O/yrCelA1Gms35QNdNI nCNB65sb2dJRkM4vj0/Pz+fXvw2D2I8vT1e2HXq8ggen/7j58Xp9vLy9XV/fuEfG709/aRPx pOX55a99FsiS0FMj/cxAHKG+IEY8TwLP9ZFu4ghqTzPqwa6h2gnFqNE6Sh38fHpi8KnlWebC UFKC7dXHspUDJU5SpIQii7JDlrDVEHbELvD7KtJeTy109CnhKIINCbuqMTR4t68fTpt+exLY YtP8S13N+7rNupnR7Hw2ywW+7v5izET5ctnjyqnpe1J44oxsVRmZIiqaAYFjX4kDHnmI4I0A HLxYP970kfxydCb6xkTPiIFBvOscxTvkKJdlFLAyBwbAFwuuUXVBNnqVX1SFHtIkE7JatX5o fNdD5nMOqHFCTY7QsTzhm7Y/JFrpk/4+juU3RBLVaEOgmm0yNEcqXltLIgVCe1ZkWhcu3pSh ucSBXY2neHDUhFTK5fKyMgxC/JWyhMtPSiXRDnGJD1FuivU6B9CLsgX35UsEhQyygqUZ0yjG rWVGjrtIM+LQReG2i4jjoLpBa1CpkZ++M2X0rwsY7N9ANAWktQ9NFngOde1KWHCMSkPJ0kx+ mfs+CZbHK+Nh2hBMNKYSGEov9MltZ6hUawripUHW3rx/vFxe9WRhuVMlR+KOqn96dqDxi0n8 6e3xwubvl8sVgodcnn9I6Zk9EFL0Nfaoj3wSxsg0abP5Gavfc5/Vma4HpoWHvYCihOfvl9cz ++aFzTdmwKVRuJq+qOFktzRGbNph5NvC9wOkJhVrVbs64rCh5oHqRxg19PAs0IvPGaY8C/Mz 6mP2EgLeDw5JTO23H0jgoVTfqAZQzemUUw3dwqghlq4feMZktR8CzXJh4Q7XZg/OsLa4AgY0 1ssEh8R3sYzDELULn2G0zcLAVL2QFMYbIRP/fogDD22HOPDtAsHgkCJytB9cGvlri9OhCwKC O2kYx3MfV47lwa3EgYZxW3DXnCoYuXEoRu4dB+kRAFx3bZ3AOAYHtXqQcGpcdwAZKV/XOtRp Umr0XL3f1447QXoZ/Gpf2o+vmEaOSeieFDfu484zS9KKIEkKwF6t9g/fq83i+3dBYpzZcKqx VmJUL0935lLfv/M3yVYnp6mx9c37KL+L5IkGV8lcW5eMhj1YnFYJfrSyD0vuQortZrL7OFzR ygAHhv5l1MgJT0NayUVXyid21M/nt2/WeSVr3MA3GhXsjQNDeBg18AI5NzVtMak3hTkLTxO4 jk3pj/eS4/WZaNePt/fr96f/vcDRN5/1jesozj/a/S9llTG2pXYjoipnDY/wycrgktfKZhay qZ6GxpHqJUWB88QPA/QFgsEV4jlUPVGflGmY3I0GRm0FYygJgp+UizG5quc4Gf3cu46LT38y 2zElDsF8SqhMvuNYe/GYQuDJnxX2WLI0/M7SGhwNzatygaae10XyPk1BYaUq+1syxcONcHSb sunCIjocIyuYpThjjpYvczVGp5ooW+VZG7mKorYL2MfY7aiS/yGJtUlQHa7E9dHHVhJT0ccu tQh1G4lwZXgpjyV13BY7AVVks3Izl7WhZ2kljm9YZRX/9phKknXV2+UmGzY329fryzv7ZD5I 5Fbub+9sU35+/XLz29v5ne0Hnt4vv998lVjHYsAhZtdvnCiWFrAjMXDVQSDIgxM7mNObGZWX zSMxcF3nL4zqqkQYF7J24bQoyjoqXJ9g9XvksWv+/eb98so2fe8Qq9ta06w93qmpT/o0JVmm FbBQhxkvSx1FnmwNvRDn4jHSf3a/0uzpkXiu3licKNuo8Rx66mqZ/qNknUMDjBgbfebfuvh5 7dRnRLbJnnrfwXufxNhBqNTRRj87seMYrR45ETW7wnGiwGQlgSYnQ965x1j/fhzLmWpFuUCi wc1cWfpHvaZMrYD4W2oqUgqQrnNDrD/1NmGipYt537GJSeNjco90AoTGSVxstlxaMXRlcexv fvuV0dE1bO1g9jlQse3dWD0SmkUUZHwDMkskug8aR6k2Fku2D45cTFw8o+fqYx/g8/M4lHxk KFGf6ulkxQZav8IP4WQO+90T4wiBw1ZRARs2QYweO/rRnVl1bBnDrTO2seMa9clTdyVJGKY0 wN8Iix7NCJsJMSfZM+y5uvVd25ckooZ4CLKt+7ni1fTRPzKXTbRgzrTPZMlOR/1vlWnQFJE+ rkT7qT7dJDp2Yrdov3DKP+k7ln19fX3/dpOwHdzT4/nl09319XJ+uemX4fYp5RNU1g9qIXWh JQ76wgnQfeurnrQmoks1Wd6kbCulq+Byl/WUOkeU6uuNMNIDPEKA4GAdZJ1OYGg72mIiOUQ+ IRjtZFypjvTBKzWlCQkjC4aAPwYRDoe67NeVXWz2Pxt30YrqAL1LnE7JTZ3p/+3/VYQ+BZ8X 2GrCo3Nct8noTkrw5vry/Pe4IvzUlKUuTIxkmxz4PMiqyWYIY1RKoLpHFRvtPJ3sHqcd+M3X 66tY7hirLBofH/7Q5K3e3BJT2oAa20Wt3jQWN3szbNMj8N7NM+Wbk1fSFLhNB8AG3lCt5a6L diV2cjqj+nSf9Bu2sKWmYgoCX1spF0fiO/6gZ8p3SMQurjALUKOot/v20FHs6oZ/06X7nhg2 a7d5qRm6CZG7fv9+feG+t16/nh8vN7/lte8Q4v6+GlB9mi+c2FypNvilhm3HI/xnXa/PbxCY konl5fn64+bl8j92TZsdqurhtM3RfGwmGjyR3ev5x7enxzfUSHOXnJIWe7wuAuyCryRXWarI dG5Gcp+gwxZCUxfNYTBf6mdqbCkxJzHacva23I5JZHFK93r+frn558fXr6yHMv2wbss6qMrA f/YiiYzGn3w8yCTp/4u24hHB2bY2U77KZPcS7Pdmv+9hWkaeMkC+WzCqKcs2T00g3TcPLI/E AIoq2eWbsjA/afPh1BTHvASfnafNQ69WqXvo8OwAQLMDQM5u7g4oOOuhYlef8prt7TFPiFOO ii0ltFG+zds2z06y9xxgZnKlnH9vwSwc3OzkagIQ9KssdrdqJYAPBm+jWGAxAOIzQ/n7gnsk NEXi2xRkGDl7hpYt2laP4bugTYWv/OHDMboo3jZM1tUOfNjkLVF2czLVEK0FUZ5kMCRpNc79 FENBLl3SFSXrONwFEi9f12PnUQzabVTBYr/BDO+/PInWDC3Rctw3ec2Ds1uExc00R1MwDIeC iZeWkCBafEEs+PToxABwAWqLQc8ISNYb6gm3h9KaOOb8rG0dorZpfACMsQN10qliIzmvi0Ol lXmCH7q++HzAfeksbJjt+IJqHl2gPkmWo35PQaL6B1d1UDwTf94EjM8iFlTVEtQYCV0yaKEP ZqJdRkY8SdO8VFMrOv33iaq7/olqiRrG4KHAdxQgg/meadTCUqy7h1bVijTbHg3CXGw5YQ5Y 6zvs99l+7ypJDX0UELV5+7bI8rrX9Mmd8rup1G9SNuP+H2VX1ty4raz/ius8JVU3NyK10Q95 gEBKYszNJCXL88KaeBTHNTO2y+PUqdxff7sBkMTSoJyHOKP+Gg0QS2Ptbjl9GtpPUtFpZt4l R9KhpsEjo1sbku/yaGkuagWx7aDl6rLyKJLqxIw9NaYJLL3a7DsZXq/LrMfdWAk5+cZU9D6r 6837MO91skOXv3YtpJu8253axZJcuqLudAI64RTJIksPKjcq9lhPYJgWZe4f5bCNC0l3YjiP 1iWLm32SWKsB69IPSfnaNOLF1//4np1cWJLrLeme9vPD129Pj3+9w+YR6r23h3RslACD2ZM1 DdrxpaajYMT699rEdw2Kxhbg4DdtHOrXsyNSmdFUR0C5tJjMVjyyv8uSmJI8Or6koCha+aE1 Cbn+FUYM75TneggcC7omkSpaLk/050/En9NKxIq4JA2MRx7XNYD2sY4DnRHzmEprJTxC7a6z ihK8iVeB7qlEy7LmJ14UFKS8K/2mXVVd6MS9DFjNot9x22iCXqbu43yw5uQvzz9evsFq9OnH 67fP/b7MtxGDfzZl5nGZF5N4v6USm0OFG4oFtDHotO0WrxEo8f1Gdbqg2pAtdyUpwdlljmma 8lAY5hHiw/dp7GqLvRFVLo3HEJptnRS71nD/CXjN7ojqODhilKvlvl2a1/MDHkhhGZx9PvKz RZvozkcFjdeHk5W/JHZb6iZVwJWhfwXpAFuzzPrKJLtJC5PG9+iBxM6P71P4Ra2vBFoedqy2 08DOC/bo3jTiRtfK+76CtX1jEqGyd2VRG77iR1onIuga+SZ5468ZdCdQ5k6STzeJr6C7JN+k td2w2zq3KBkaux4aW/QRlu9ZTHtaQBwyFr5ePLnf3Ce2xDuW0S7EZHbJXVMWKbdKd1/3Du81 aoo2cxapdfL7nW1IZYxYe5cWe1bYSW6SooG9ckuu85Eh45Z7RkFMYlsQ7E/KI6WwBVjuUne8 9FT8UWlqfKCbPQbJ9SHfZEnF4tDqOAbX7noxm8LvYB2U2V3PGhGwas+hk1DKVDJkuBwzPyhn 95Ybb6TWiRwEFm/K67Ipt60zGGEHn9TeTp4fsjYV/dCUV7SpSSjrNrmxhcOEje7aYQRQ5miC I2lZdl84eqwCtYIzoCdVxvDcAXqzpRPQClKE5DAtfTWyXwNUdQqLMFNew1L5WQZNeE6xiGhn idFCLHKbsNwhQW8A7Z84KgHEVhkZ0Uk0rBmRUoxedAPFGs+OUIjMWd3+Xt5PyG3TY2kLBj3S WIajJr6HUUxHUUT4gBNhVzW0ybfQVWmaly29tkD8lBa5b3h/SmCDlpkataf5m/fTfQyToz0u ZGSYbn/YkHS5cVS/nLk2qxpy7UFN5/KqC7bQ5jpjjLxhQVrkD9jCOalUMaS3cWDAApFloUXI Q+48vmq2EmjslQ+AHYBqBTSegFNpetDIoV/7NJuu3PO0w2NS2BPLM129KpFDHWHTS02fQ22Y z9uU3xDtXSR3OGloygF/yW2boeMHaic0KSFKYxG6ENSSHklOwJsaF/QFrFC6/R2GNC52yXC9 Dhzumk4kY6ADMqc4wmkwtaMf0ZBKtCLtMQXazHm40Hf98qPKDcwq3e1BP3LVkZrdOhmhP76l xwOUYPDso2Qp0SH2wsoMifp2TRGXMzNimCLbu0SnbEs3laJPFg15VnO7igxXf4Kie7U1ukAc Sv+NZtZqU+7LdfTPaCYrmokaFnELfBJbztABmyOxzfjyOvCEJJRlUb48JznQaeZU1xR3rmaq srWs56xRIW6///j29Pz1p+DnK1AGV/VuI3BI8/fzF+Ag9OnVT+M09LM1rjY4D+dOQfLsBK3n Kz06CnZrTfhlh/GQ0xG5JJPjhF2Q08p8sCPbrvez7FSIfJOPFqDty9vDX5baGOqsfXt6fHRV SQsaaGds+3VyZzmhNrAS9Na+bN1vV3jekuEwdJZ9AouMTcJaTxb6pQidCa9o7/cGE+OwVEnJ w3yDT7n3paA+aplYBohKfXp9x3dFP67eZc2Ova44v//59O0drR5env98erz6CRvg/fPb4/n9 Z30SNqu6ZgV6pKHut8xP7j2c0HJg6Uwe5BtMRdJKb2Q+GXhY4e+4fb0eYm+Fta12UY1XAxjk KIW53DgJYEFwD7Mgw3sj6lynP+T4/PXvV6xNcbbz4/V8fvhLMx+tEnZz0DZmitDhYpllehEH 5B72F1Csom3YFFqZscBNvCqzjA7sZjEe4qqlHu6ZbJui8RUlTnib3Uygyan1FzSGtB8o5k1y X5GRtg2uTBbEIwM3ihdFNNVNeZgob3uq6stSxFGhvsL0dJM+dQp/i3TDCu3gZaTJCIA5o0EW x2qAXoA7CW5pPrwwQbdL+qdrcN7uOXUsUqOnpvqkO2oWvpvSOzKXujWdxVgQrEk9WsZmhBo5 6to/gX1QB0sYdHvX8Frf+QjIeU6CVIsnS3aM3+MjDL2OBGRdjcvc0M2O/jGCevK4/apbblor IgEj966iIHKRflWvkfa8LaFsJLG/tvnP2/vD7D9jkZAF4BY2K+QoQ9wbtACw4ojvFNSsAoSr p/49lzZZIyPs2bZDzRniBQLF8+SArk/RC0+fCW4ZMSNnd9Ezy4AFJzsb4UJ1s1l+Sjwb9JEp KT+R/tsHhpNHvooEOZE2boK54d3doHccOvehvqdx04BdQ1Zr0u+7YnC85is6hqM3bCs0wHJB rwN6eCkDuKbzMMOYaEAfIctC6mbJ50bMAAWkTRaEMyITCYTeJCGRywnoxIeIuOOGk2cdMELD Gcjci3gBcwM01MsiaCN6NzJ0stt5SG3/h8HihBoaqtYNYtVDDWywr2f0iVrPs83nAe1dupcP 48IKbDEiy4h+NasnJm+Ce4Ykn89CoivVR6BHZK6A+PxuDyxRNJvWB82SuhYf0BjG7eA0FI2G vcoJNFeH81MzOppFftz9uEqNGOfzkLR60HpVKP0WkRURXvOp1PVJWV8pB7if32GH+n1a0/K8 bEhVFVIDG+iGIxudviRGCSq2CCNm52l279N8Ef1iyGChH4hrLOvwspj1IprqnMgRRYRGEUkJ 1RQ34WK2IOh2QBmNvqKHbnsTrFtGHRCNWiVqzWiEOjKf+jBkWF6TSZt8FS6mh9fmdhF5LLmG jlctucftRc+CvXdaJ2LQBPJVzsAAy++a+or+vYezcXt5/gX35xdGJWvy63A1XTjltHKq96Q7 +4h1ULpN1m3bHBaTTL9jHRoBfeCTrSOc4x/FksxfK/rrq0HPVtdzIxJS3wr1IqDo462+naCF KZOYhoTPSpJ8SslPmVoablv414ya7Zo2r0hxMnzM5IqJz0PqU2UsSUqoLwbAkGl5YmYQgAFp w7XH28rIYkfgdBjWK2r9I/YaZM2Yp+nDWGzjILg+OWNB3HtIByMXxkP/+o56HoNxf3ETos0Z I831aK9hRzrUMnC45gcMdtgctuGd9I8sLiaKJOuau7TV73NxF5oUO8NMAWlDfDWZTisswzgN DPTeLtYDYrNTigm5Keb3T4u16aBAbHtZEJxImxsE1bgYU9wNwokkcpzaW3LUF7dYMdR9YJN2 RtHTHN80cYsob9eApgcDUNSy6pjBfTM3U+d8C/tcs0z4uLGiy4RQa7NDxy2pIycMe2zxFptq q+qISFDxvVm6KnMqTMa2sdK7aH6gNIYI427koG6drB4h1EM461i1sfOXUDAT9UpkgfEyzSzE qLbFnNIsLU7dp/viFp+S+qq7ven2jdlgQOK3Bkm8uITiWJQ99oku3+UtBWjd/058ve3D/a6v E71/C0Y6TDygiS0XCciuyW22om9pWk65XrbbWXSFpNsw8r2J9EdsNFovCK9qreZM7aJBsUoZ n2FkEc7N67JpNubSQw6lzGqhQaPxb0/n53dKo9lZqmMRR6F1NUtHQ+ecbQ5bLaTEWCModpt6 3joeVEIKkxBMasdE2XXRKk2E9zBPxhS1SbItFr9xkH3CKg9VnFQlhgsp6+uGKjucRu/gigYK vc64/nItXqCOVhddegsphPx21Jms4Wna0S91gBpq5a9YLaL8VKzQ7SLEzx78bWaR6xKb5bfl mKsE5CU7ru0atiOjLclv7DZZV5oPu3SEjqmlcTjPAsxyEBkftyk6065vt1oFI9H8Bb0lhdo2 na8jnVYBElJv0500LN+QXkT1ROjs/JTE7LRDRVMnjf423+RkeXxCw6ueySpgz7bhOQYTgH8J RrKWRIrcOtMcUXGS7vWujrAZqVNSMNI66aA+rvTZe8uPRsMfK8FBlwQtSB25ylXpw9vLj5c/ 36/2/7ye3345Xj2KEDfEI55LrH3RdnVyb8T6g4GXxMaKR1K8J84DLO8zhSJJPyXdzea3cLaI JthydtI5Z06WedrwiUZRXGnDXKf0Cqt4ttbPNzRyuKDJK5Ks23WP5Eh34qOTSSGR7sVrIOdz qigsrzL49rQM0fZRv1M0GCoezlfT+GpO4tB7rQjCOkCdSvUtyPjM/eqYNcEqd2sa6LNIFcDp UZhmKqMmmrnVjqk89NXCfPjSI20YeU4zNA7Sd6aOu40kyEuavPYUhPSr2uM5LGxZS6TcZkvP frRvbtS9aRmEHXXmpDGlaV12wYrII8XemIazG/rWSXHx1QlPRshgfmrUVnxF9ej4Ngg3DrkA pO1gsb2kOqNC6UtxnccyZvPxBCv6JenIlrFNxbHDTvHBqGXUOmOEYxZQXREQ2uxuxA/6/NxX Kb73u50TAptlODGERPAkj2qMwuVSRV+yGwr+3DHYmMfljshS4AxFB76TfJeTNg0k+MiuqTOs aIe9LueKPE9y+ELDK64Lh6SWHBnmgecc1OVcTmshjfPkeR83cGbYdKtwNjXaJdP6pD8mNLEo WFEDVWDXATFxjpg7lWEIRMCCdUBXmELJN4gOE9XXR5RydWszrdwpQmFdTAwxY8K1gpIRUy69 Nibm3mlRaejxP+3wkZd8vU4uYffKtU8jZlqYha0yu7PT3OeirOe4L8ROP5hNDa0dLNr2Vewq lny7Oi2oiYdXUsNNrQVuNyWrY9N1hAJ/r33VfINvwA6FFcrVqrwNJharB0fygPmQ2F1YSSSX iZzZU4Hx5PSSJx5/tAOOFUJNpaulfhur00+uEkD6akbT1zRdzo7UrFGI2YYaWRLJCaRu42VI KYtmNTWr5alucDrmAvsxmHjpWZen7PJOAqZEtw/gPEnIFNNnQ+11+74n/288EiJ0zdTCnl5N O1RYrBinUFZzeaqKItflQTmQsT9XnAtRh60t22kuZ1JY3Px4//z49PzoRMN6eDh/O7+9fD8P 8Sd7Sw4Tkdwytif6gFLu0h5enkGck3aKT5fUw388/fLl6e388C5iiegy1RexuF3P9Q2cIgx+ QsycL8lVITpePz8A2zNGrvV80pDbem36SL+cWLmVw9wH73LNP8/vf51/PBm15eURTMX5/b8v b1/Fl/3zf+e3/7lKv7+ev4iMOVnU5fXcCAnzQQmqP7xD/4CU57fHf65E22OvSbl+HMriZB0t rSly6DY+AfLh2/nHyzd81X+xD13iHAyYiM7d14X0H7HUhrMaGZ1lRKyiqwirQZqKTpMiO8Zn j9Ulv+H71AmaiU7F+pzka/L/zU/LX1e/rn+NlBO05u8/fF78MbWMV6idbylgjQjZANNZmDmo q+84ccIo4hE9Eb2j/1CRxnNkJ8I04A01dUUjvLEdYyIm5qeyZvRxq4ryY98bKz3y5e3l6Yup fCRp6ATo9A3+U+/Exy/d3rXtvQj/3JYYsh0PmJvfVgsX57DIUfA8HA7pmm5b7Rj6WdO/5lCk zX3TVIy8l8NTRFDeVVkkhX6kL4DCPE0VNPHxPkmWkyR1bChcv9UlbX7Z8+zJCJA96lhjDIAn qvWIlxWac0zI7g24nbSWcwQHP6abGk2rJmTLmL/QVnvtOqMHTbuPnmq4MBvKaLph6ckH5rFB 7BlYzffUbcM2TbIYGSxzDCgntMQcFnZ4d0Z9mOOjp6d0VVoZw4jvoc2T4fiddhuXJ1nGivJE +rEZuMoM1pOnMlhT75326JeE63YK8AO+C9vesM/oGbuqTmA4mKvDHBSPFCJnlm8vD191iy90 pVif/zy/nXGa+gLz4aMe5j3l+oUeZtJUUWBEuPugSK0CM3HlS/XdscDEe1wTvF5ESxLbp6vl 8kRCDc9TD1B5gHQ5XwReaOmFFvZer8c2eRBFnu1Nz8Njnqxn9lnQgAo3qR2nXExobOKdVpac 5ONOShByNMyz8eyZ7PjxGiSjGnuEN2FeNYHnyAfwrAlmYSSCssUprew0aY6NAsUE2uQSS3kq GD1i9d6VV2HnhKE1So82cGXhkYStzNIbmOo8gdgFB8/DdRB08bGa5InIx5AK7VZz8/WXTu92 rCWvZBXPTVkwsl3Tqi45JZXf7wqPn8yeZV+TtycKLZrK1CaSGLrEpjZpNXS2DXq+8QxU0O7L YMWPc2tTaeDXnr6KU4PnyaTFtb4wcoFnfR3xo3tuqqmnkDwFFJe34kmUvow+bLRUukgNsgtP KB1YxeguF/ITd6YWufLOCVpB0CqCdjtshJ8fz89PD1fNC//hPtaGfUFSpFCAXW/SO8rSMXyw pkfPs7FwufGD64mEkQc7mZE2TMjy+9+DLT9gBZBbBLIaRhFtis9HuGwiZ8XtTKtik9Gev6K4 sTJ1tYU7IMv7iw634XrmuebTeaxbXRPqNnFlWHS5HGm+u8Dxe7WDbY1k8pUU2PLtjm89l+42 a35R2lFmeVH3K+6ksLkp3tV6ZR+PmaCcRj4oCW2Rp75D8Ox48qHPEMyiXj6U9WSrCY6jiEt/ sXzQah/NE+O+zthlici2+RcfDfwB+5f8/1J++C/lhx+Vv6bs/Cye67W3na7Xw1jwMgxN7SsD 8BCjxc8rx4onS/UOnM4LwS5p9x+qHMG8T7cfZ4bB94GPANZrf+GvVfmmOGShvF8ZBXPamsfi 8sSrcbiI75pgls39QeaP6VzJOtHPBMPxgrqIgjXlP8Xi0cNqOdCgXicyAS6pVz+S16XBIXkq XLjUycUVo8Xvvf8m+Fmc/SvphecJpcPutvAU84frbWxsP8uknojcxw8mSPZ63xmEsVjS1lPq BaA8p/j+7eURlmevyrTwh2dVhWe3dbIzHlM7DLkRRdyBJ9Fo456nTBdUO2hqWlbDXz4P5qIQ 3t2Z0FX+/ah6Wz7d2KPPvXEfMucrNC8YuaiLsmV1RIsC40BqEJGc7ouy6ebhcjYtRjEuTDkm uDSlEPjqQjmWi8BXDpc1/FiRWZ2vFtPZYvdu5AEP6eRIsQGD7e4DDTwuF1myhRcaCpkWc09J 5dnWNj16jmJwIyhMCZqS45k9XQ60ULlQVpGR525D0DvOD9o2+VCkx24bYEi4RkFjfodiOUs7 hvXPqefKPUOAh2qW2AGoSWi/8uS2XwWr6ewgqStzIXJzs0qJbFbAOw/8mUSAh3MiIQLz+XTC aN7SKffTCY9zqv4jfPoc2gktjnoxm+K4xlJNcqAMT+E0FdbiSyipjofEylTpeCmttGXSTt7v miotspKbHlcHqrjeI4ur8aDB0iUeHDPUFYHGoSwoe6RJ8u6grF21+a95+fvt4eyeyQjPZF2p BXyXlKoudbeEUAlNzbs0MtzqAzU5tgR1k8UEFSXkxosYdc5p+0frDyltujJfHshDjQ1WyxIi axVNGKvNBMO2bfN6BqPQYVEM6anCCc/Jfbi09SWESYDFrJuvZ92psj9KrARWrlT0Wl14RZZ3 mS2ojp0Kk5rFES01y77xCZe3yE4yaUU9UYNFxfN1X0PUiGIxLAWTrm25XVJlvW6TVa8pYDzF KS5lDA2j0HhzwnJVNc9pHdFHa/IWDM05nc8tYIzViTfNTYLOiorETYhT4U7cpEKPm6guVXxl 4z3FUqWw2oMu5r2XQCZQcLQ7FoVLA9KsImowrxrq9J7Vqp2MfdFI7VaLTUpf2EKXR8/rG5ZN jQqlbJoq0h1QAHBc58LELjU1LGtzNErz5SnQhvLJJaGWb9QXE3Wgllk5p4X3lSgXwvaVU69C lIsEqxeLy6eurohOhjav/h4ilkwT8F5VIM/pQg8MMHBIlyvKrrSEvmEoiD5d6xlRydB09PtV WVk4wxE1jc8RWZuSkSv6Dn/SIxBEc1Q7eW241hmopjWNjVfk1K6msxyd0rbuNAf0tjKKLr8W ARFRr50c0Q3GU6Gf77CWQ/cNKDU6aA91weCqFQlAAUqyk/cMZWM+c0HX82J+gpxhxE5spK1V wqAeWZpt9FBl4t2VpLizIALUEFQ+CwxB0r674uiu1RiUuASoYu4TJnUZpNHelgjz8Ty+tbKQ K+a82VnlFWPLFj+gomAon6pntBuFv0fd2FHQ2OhPqT5/f3k/v769PBBeixL0va4uWx1ax61H LH27HqsDKBHgoGawVjxm0M8TiBLIkr1+//FIFKqCOtLKgz+FJe7/s/Yky40juf6Kok8zEd0x IrUf+pAiKYltUqKZlKyqi0Jtq8uKZ1t+thzTNV8/QCYXIAm6ul+8i2UCyH0DMrGwQTbQtXRb YFFNPRjYdOey9M/v5NbgENCZMyHTaZR25KNT2dTJkljzVXEB8F6xLrGgp/+hv79fT8+9zUsv eDy//hPdYd6f/zjf90JH0be8q9EXwU2VvQsK1HpHlepLqLkNUnrLo6Ja5HKPInW8XogqavYC qiahgy9Vx9bT6G441Wy2J4PF3Qv3OMm8mlDo9WZDRrrEZL4yaVsIqZbtytCtcuZhooOoSVdj 9SKv1tz87XJ8uL88d7UOyWFjQR0JaU9BrHWbSOsoZmo1h/fZvxZvp9P7/fHp1Lu9vMW3rZIr FeEfkNbKq59V3by1i5O3ldK+xoO88uefXTmW0sxtupTPshK/zuQIUULmJvfoxYSJT87Xk63S /OP8hO6c64XTdsYfFxH13o2fpsEAwOimCfOdbbHbeR4tjcn1r8OmUn+9cGtZTi6LhUVbnif8 hIG9WWXOqQPTOlfBgl2PIjxDF693uZIUtsqN0nlzQGjr7p2HdXbra1py+3F8gjnqznx6mOEZ ctBsj7FwPZcNpAw2ScQj0OCyMG+HOzOY2zTuwMA+vHJA7m5e7eMdp0Gd5lDFYHNTZr7U4SVS u75k6LZE4XfBWuuuXbDkW3K6UYhjQDeXkttmJxewiujvRdqOvujA4AgrY0BTNZnMZkz9gCAk I0Gari9lN5mJhYi0nSXLTwyEYCw/hlIK+WWNUkiKLATvd1Suw4UKoRA1vAhe9dtZ2zijn6Yb ToR0BvGj3uhwaEgIpFdUgg7E8RtGnghWXkc951KX19z+Mid3h+Y8dsMzVc8cendgjgOrdw3I JWbKpCUi65I9K/Qh3IBkIjKjJU0dLQSOkm3GzhGsauULa7dJCowY3E00+BER0d3bmtsoy7hU nMn+/HR+aR/F5c4hYWt37H+JCa3Kxk6Jdos8qlXyys/e8gKELxfOA5TIw3KzK2PDHjbrMErV WuaiKT1s7qjfrtaBGIGSUqJBglY76oKLoNFlvM5U0IHOlNaxScvaEwrMa55WA1+aAhhK+eYJ RVhCxS+40vIKVMiipmq6+hDtZE/w0b4ImkgX0Z/X+8tL6SaQ1J8RHxQIvb+pgL1fGsRCq9mQ ajCWcG51UQJTtR8MuAVng+kIIlMSZMV65I3a5djDElga46BGyDkvprPJQH77K0l0OhqJXlZK PPo3E9sDCFhk8HfAlWGBDdjkksuvmGYCHwcb9FSCHYK5COauCBm89tbYcMsNHkNQbdZ623G9 A4Q3i3hhyHn+ZcwPEJWkytp/WUiEJk2L1BSvcZHWJD6vrb4rPfF3VBLwYuZNLc20r2a3YOha LadwnwyGo4745QZLnayXAG43NE+VR+c+fA/7rW83TQDz2A0DT6GcPlQ+LSJUA+oKAkY9D/tj FzBzANT9K4ljZ4sbhLwrgfkrEWof6w4c+up28Dd7Hc6cT96Wm33w243X98gDXBoMfOrPKU0V 8CCjFsA1ekNwl5I84KbDkbSgATMbjbwD97xYQl0AreU+gIEcMcDYp9XUxc10QHWVETBXI2ab 9H8wrq6n36Q/8/IRnZATf+ax73F/7H4f4gUcYehHT4HAyl6ZgWA2E69E7cWICsnI2XsNlapR 6DuYfeb3923YdFrC2OWpseVAhHT9jfoSfc9NFqoZLo1lJqfCR7Ikx/OJVWG1d2J6V9eVci5o W+s02YaFcGHmUcwBFoE/nHgOgJqDGQBVk4XjzmMhEdCCbEwXdhpkgyFXVa0U6o2743G/oyWU ajRB5cw9q20arQ9fPbdhIJ2i5qjT9Wu1ncj+x/BNledg/IMuv+QbN5OaJ9cqd6rc8PXGPXlH i4xrcjfX0u/sQoepWc1ytoSoq2ijgBH0p55UtEFq2LHIYCIsBTZm71apuEuGfWDJU7kZgB4j 2kxkmq5U99i3avh33Sos3i4v11708kCtW2DTziMdqDLiOs+TpCivi1+fgIN3jspVGgz9kVy3 JsFfdq5AdyDPjSz49/wsBI+n5/M9ek8wzrd57kWigNVYlYedeFmLFNHXTRPJtT6OozE/2PGb H2ZBoKfOFqNu3alYc+V60u+T9a6DcNCvjiGyDBAqcyQW5xqzY8Vjo5Khl05kQZ3pgXw+7r5O Z3u5293+tN7Nzw+Vd3N0uxBcnp8vLzwSfclQWDaP21A56IZ7awLEivnTGZzqMovKcLt2cII2 tGT0KasSlJGRiccIRm1fU3RWlV23q5FyW0iHF+KVknHlIJd+Qew8hil9tCtQPuxHfeoACb4H dDbC93DItJMBMpoNxDkejpjVMn7Pxg6LqYdD6iQwHfsDqr0Fh9OI+1CE0wkN3j7bdEWX7IVx WTkaTTw6Mp/2Sj3SDx/Pz9/LmwgWItnF2cCZb6f//Ti93H+vHav8B+ODhqH+V5Yk1fOYfV9e otuS4/Xy9q/w/H59O//+gY5jaBmf0tmAMI/H99MvCZCdHnrJ5fLa+weU88/eH3U93kk9aN5/ N2WV7gctZPPt2/e3y/v95fUEg+EslXm69MZsq8NvPkEWe6V9YM5kmMuakwVv+IGB9FCWZttB n8rzJcDNrFxMNiOUNyTmrVgOKgtXZ0q1G253tNPx6fpI9o0K+nbt5cfrqZdeXs5X90BZRMNh X7rJxnuNvkclvxLis21Oyp4gaY1sfT6ezw/n63cyaE1lUn/gSabY4aqgfOQqRK56zwB+v0Me XG3TOHSCeK4K7fvSXeuq2Pr0zjaeMAkJv302Jq3mlMa5sNAxjO/z6fj+8XZ6PgFH8gHdw+Zo 7MzRuJmjjabkfqOnk37XAXqT7sekvvF6d4iDdOiPuZFtA3V2dcDAHB2bOcqucShCnLyJTseh lk/cT5pvuic5f3u8tletCn+DURtw/kOF273XF625VTJggw7fsGRokI4s1DNmrW4gM9rtSk8G Pi9yvvImHcGhEdXxvhHACeF1hDtDnBjGCxADGnkOvsfjEavNMvNV1hcFFouCJvf7zPt3fKvH PsiciehQrTredeLP+tTNJsf4BGMgHg0CSC9cEt2xU4JcLMniv2nl+fRaIc/y/shnrU6KfCRa Uic7GPNhoNm2NBz2nY0KIcwVwXqjPNiLJf3eDP1SklWUQfX8fglrWIDY83jEKIYaSlnr4mYw oFMUFs52F2t/JID40iwCPRhSl9AGQG/vquEqYHBYxEEDmDqAyYTJ3QAajgZSB2/1yJv61KF/ sE7K/m24bQMT3WbsotTIhCQDA6HeAnbJmN0xfoUxgC5nDBTfJKwSwfHby+lqb5qE7eNmOpuw e3h105/NRLfb5dVkqpaEqSdAPhYAGXgdxwtSR8UmjYooZ7eOaRoMRv6QezSwe6cpoevgr4YV BNTRdDhoj3eJ4FWskHk6YGc2h/M0X1SqVgp+9GjADjWxn+0IfDxdz69Ppz9PrmSSbvcsC0pY non3T+eXrsGjAtU6SOK10KOExl6nH/JNodBJDBOJpHJoTdHT5MG8p9U36lWo+d4v6H/v5QH4 9ZcT0+CBdKu8VNS1wl7HXT5qpOf5NivkK/1KM5xlJZF8QlCgRzP0TtaRHuPtSiKp3MryRH4B Rs5EpTy+fPt4gv9fL+9n42uyNVbmeBkesk3Xvh9sdYE6ncZObYWXlCKb8FcKZRz/6+UKnMS5 efho5D+f7owhOvBnDp5R2ht2+BJHuQ/OQYkFBgxskmzfzBJkgcX2dFRTbAIMwJXxvkmazbyW e+SOnG1qK6O9nd6RxxL56XnWH/dTydZ8nmY+vwzCb0eETlawb5MFGGZ6wH1vs8M+0tJ+tsro HVEcZF4pVTQDkCWe1/VoBUjYe+krhR7xS2Xz7WzYABtMhJ23q5LFaEhrucr8/pjk9zVTwL+N WwDXZWtrMBp29wWdetIxosccQ5bDevnz/IyCBS6Ph/O7vTZsr0XkzEacU0niUOVGe++wEx+M 5p5Pr0KymOqQ5At0EMvjXOh80ZfdiOv9DKaEdIztZywOJGZBOEpkIAZWlqp5gtEg6e/bXfpp R/z/emK1h8Hp+RWvRDoWldn9+gr29yiVlN/IkkAKMimT/aw/9pjTOgsTRYMiBa6fTDnzTZ5b CtjnKddqvv2QbfhCSyrydal623zCqpG1ExEXh5LWBWJsiMWC+l1FME6qbMPt2BFebDaSlp9J EuWLFnmu1hrdlUqcZhodbGghMz7w2Zu/nR++CRofSFoAmz6kUxBgC3UTsfSX49uDlDxGahD9 RpS6pV/S8MdAjco20rX5HVHMgg97XnOQEz4NQfVDYxvMncyVUDT2dIBRDnwV7WADbUevZ/jK oE9uySG8C9wcbYjKzgxX8XwnjSbi4tRpdZzuvRaEeqAvQaUNEQXaeHtLF2xXLwcm2WBGOW0L C7zpfn/QQdFC8DixFqh1G+IGDWjggsdSQlPF96Ug1IeOdeZmV72MdnZ3FqhZV8Bsg9/LakSI Iw4BgdsT34CQiinOGkhp61ZkW7e+1cNpR14tjUYDTPxpkCWhA83y0M3dsM5dWTc2mRSKZrsc ZPTRHFAcBarV9wBd5bJ1okHfJa0UdzAlI1nhD/G7GH3VFfI2bAiMXTBFW9kqv+3dP55fSaC2 igVMDgsWprkcGlgewQGSZXxHqNH5rRhCukTnX5VnaBiTUA6TyVt+ltbDKQqhuaQpSL39AYVU q9VUd2cOadBhdbaKQW5ScRiJdnuwVQChLiImNSF0XVQibAkt9Rsx32CTzuO1uJ2DHLZeGvcz AfoxpioUFJNy5+cperzOHW3HSoB1B7OuZqaCm/LEa24kMWoJrDQMrCXyYeZxFdJugoI+slpX mIFg9mExqlhNeAR4C95rry+G0TZoY/IzHLXT2cOnO11tDCSBy8d+F4sOjl0Y6ry0S08ULCpp 0pVou9e7ebXDrDdg6xXroHL55LSUqFDyCVo0NWcU1vZhQ88WgsgcnRSDIXv2J0WbN+OuUq16 cjtrs4OmmTeSfaiVRG23NBxfBnxnwNpNZ7tQ9Aci36lbnyGVS9fPHbRWVKWHVytirb5gPIF3 o/Dd7JhlZHvH73oDNL4GQRResRclRJTmrxVaOhaAqrSKQz3bFVvIlScOQPiH7vS2EUhFzqjS 9/pYhOMKwh1MqLKJDh6v1xtTakeJwCIc/OkaWDcdB24ONfIHGdh6saRpmg1cX/FtAiy0I99c GRtVIWuruBWtTf6S7YYhqpS4QvO177dyqQgw+HRnLStvBjjuXSEOzPQo/RlgR7WmTum8y+1E TlRYtTEPJG4srnOKNITDkpBPCV3Eq2F/0p4rlkcCMHwEHGW4Im82PGT+lmNCNbXT2W2USsej IR5AYST7RkTXPdUR5M54qsuG4QG6BtHy+TdRlM4VjEWaOvXm+FaLazFBSMqiq7M7CbZz1EnQ 9iKgHuziMImghN8iKkOETFRJqUZ8aqN3cUBCTSBzatQMjWGXCfhtRceFPtzlseiZ3BDdAKNU HHgkcZs6VRW4FZOk4ijXYb6JQ5F1ceOVhIocquudtT6kn67wa4GGH4uZpWKD2ASbQhIfLEUl tkVo3y/kUOE/ywO1b00pZCBA/IoWW00UrK315aIsphqfasdwiGs4y9UWhxu/U1zZN2Y1YiQM 1pCayTVlyDc2Jv1uMYaNoqu/apP2qqpOar3eaeiuZSZxvTnGw9BZ080Vt2l1XltZGg8Qrfqy 8nJhdiD/B//mKq0m5Oqud3073pv7UlfWsZ5Vmg98fy42h7nSlC1vEOhepOCIcJumXzhIb7Z5 EBlDj00SibgV7LXFPOKBde3OUqzEhSI0o0nZwT+BzFL1AvwrGbdRcD3MGPcQ2Ll9VNvuk7c5 wRR7izrAy8nMJzIwArmxEEJKB2PSm1+rGhnM8YxJ0DqW3Y0kccrihSPALjbu6sA8tMH/a7a7 UihuF+6IUNw0lUT3NtW6O3vrkF8uwdR5o2HPkbUGGHHJHIgcrIkv6dTBvDAGaz5962dDAVE9 OTIUnK3RbUT3uQ09EmyIp8pFSvUWxS89rWLi+enUs8chvTVV+BJRRAc4jjKVa9qIaI+XunTr ryCHuXXrlxHcIoaDFMHspQJtJ9Hi9EsHHvKK1gFIQuUTsQQ+qGSpGW4HjD7XFquB7RD1As18 G8OKW8P8Xq5Vsc0j6b1podebIl6QrSZ0AbEFmGtkUkHl0t1uN4VyPjH8lmGNzVxZWIPPhjfL AVwS3ql8Ha/lNlmKVpsr7CItDjv28GRBkhRgsgoK6qlkW2wWenigU8DCLKjpWegAAEmKO9Dj CTB1NIsGBjJfGOe4tuCHZiiRqOROwWmw2CTJRo7cRVLF6zCS77cJURpBgzcZ42lLa4L7Rxog D4YKyPU2w+lPZ2KgglXE56EBSbOwtjAweVvx9v308XDp/QFLs1mZZA5sArlXrV+kVZyEeURW zU2Ur2lHO4yb/WkGr+KU25WoV2+sA7Nw0flclLIxx/h5y8jkJvZzZJZvF/a3xUL7cuO287iq owPB2M1oYG385ma5QJB8ZZ4ravjXJJZF2IZCF/Kdr6VQuDNXM+CTSh/2qiikmuko2JabVqtV 22IVrYs4UHwTDICn4uvMQoDTlTSbgclz+s1CMD4eGtF+wXQuEtlLCs10wUwU7TdM54UCJuVw g26j5l9A/PjV6/vDfpsswcPEDE+kWd1LEhihGi3N7Ipq+Hkmw1UgZuNSTof+XygOB5+Wx7Gd CLe5VTfJNW6RfVZvViMpgVzFugY/PZz+eDpeTz+1CB0WuYRzb2cl0PL0zR54t8lvuraDIMpW XYs9iMWFHmxCxc8WZ/7it/PMakmqbdelO8AaY/ZU60Szj6Z/zu+X6XQ0+8X7iQhVCVrNhFGG ji2GA8krACOZDCY89wbDlRwZbjqSLkEdEv+T5PJDoUP0w8pPx/3uMkS/Mg6J39H26XjwScaS GYND8knXjaWI4A7JrKNeMxpLm2NG3V0x69BI40TD2V8Yk0lX22O9wbl4mHbUz/OpwYqL8jhK 6SCO3eZUJXQNa4V3xrQCD2TwsKuY7hlaUXSNY4WfdGXd3dF1G2VRjpH8aCSoMhvCbzbx9JAL sK1bz1QFeLR2xBauKIII5A/pyrwhAKlgS6ND15h8A3yCWguYL3mcJPz6v8ItVZTE8qNsTZJH HToKFUUM1e7yhVPTrLcd/ohZ78RKemisSEAku2FRaBGxLRZkgYQJu3CDz08kv+06xhUj3SRs Dne3lBtmYrK11Dzdf7yhctvlFdVeiViAPq9pJfAb5JXbLWovmzNKPuKjXMdwgIKABylA0FuK 6o75FmjCqpCKq7ZScQOnhR/CFcjkUa5aQTkrgaBkQg9hGmnzelfkccCjaJQk4om9AOYX5V17 p8aSoZJ3YAThFHraersTcqgYyaYmij7H6/TXn56OLw9o9vgz/nm4/Pvl5+/H5yN8HR9ezy8/ vx//OEGG54efzy/X0zccmZ9/f/3jJztYN6e3l9NT7/H49nAyGputQVsGwSFLtksU/6GPQeCN VB0XOD09X96+984vZ7SNOv/nWBtkVvMFL+XxSfjmsN50hGIVS2ipmv2AfP4ljxZCB35CDRIy u3uDmprLkwSExarfeZBJS7GAhc8JiItFsT8qdHdv15bM7uJphBuYxpuq34O376/XS+/+8nbq Xd56j6enV2Nsy4jxHkixuKcU7LfhkQpFYJtU3wRxtmKu9jminWSl6AZFgG3SnN54NTCRkMgQ TsU7a6K6Kn+TZW3qmyxr54DyQ5sU9mm1FPIt4TyenUV1KFTyhKglp+ZJZJ6xdCv75cLzp+k2 aSHW20QGtqtufoTRN6J2IFQcq9Jd8drDlb22+fj96Xz/y/+cvvfuzcT99nZ8ffzemq+5Vq0a hO1JE1G33TUsXAm1BLCWdQFrgtyhcOZzKo0a7MW7yB+NPMZd2dfFj+sj2jPcgzD50IteTIPR +uPf5+tjT72/X+7PBhUer8dWDwRB2h5eARas4LRUfj/bJF/QBFCoo4qWsYaJ8Unbott4J/Tk SsFOt6sGb25M6p8vD/SCr6rGvD0SwWLehhXtRREIMzkK2mmT/K4F2whlZFJl9kIhcPCjU12p y0Jgs4ptRzTwsoroTrA16qvj+2NXH6WqXa+VBNxLLdhZysrg5vR+bZeQBwNfGAgEtwvZixvx PFE3kd/uVQtvdyJkXnj9MF60p6uYP5mozhYXDgWYQBfDvIwS/G0fA2nIzM6r+b1SngT0R2MJ PPKEc26lBm1gOhAmD3AXUTTfiM9dluIus0XYE/z8+sgeKetl+9/Kju4pbh/3r3T6dDdzPw44 2tIHHhKvd9clX8QJu/CSoXSP7vQHdPiY6Z9/ku0ksiMH7qVlJdnxpyzJkjUdbIB5T4QOc1Nu loqdTIuYPPHST16SS1B8Eo6zJbqJJB0dCThltGfXTPOX5v8oD5uOr6wrWUwL6Hy6VJpNyQ6B g48jYAf98f43hjPt6bM4Q8uNcXLKf3wTuYOenrCh732RaUONCXYCRbNl37ga5PjH+w/F6/33 3VP/hgnX0qTQqhMVJyUt6tS8HNbyGMd2ws5YHGzbuYk3REHmkinF5LvfVNPIWqI/VHU1waL4 49JecJIRot5s2EDYy57xFg6k3NhRJCzzS+6EGGhQLH5Xo2RhJLcyRTMy671EROHOPSVOZfy/ 99+fbkCneHp8fdk/MAdMplKea9RiDbVeSkMRY+QE13uEztG88RW7p9kKLGr2G0PpcDQNkpW5 pnQcB0J4fwKBlInP/n+d7Uf0uPJqmuvLbA2M+DYlipxU6w23g+UlKq4bVfAe/YRsrZZF9+Xr p22kmgGP+2C+qv6ZbI4RAVp/mmpOpqEmm9aoWkQpmJkcsQ030SNaM8twxCpGXhqxVsFgx7iv +/jwZEZrQNILMT1LHDyuPg8EkdYjznGUxM9FyRNxLPGtIuu3O4av++bJtstkcQYyDUuE2Roi C0Plq0YK3iKAeOudGp1/m4aHX3LJUm6FjI2McQ3Xkrfr0mnOs3KlRLfacnGd3veO29jHev/c UmgjwYH4Ml8ZLbD2k6HGqcyZblbkMVd9oq/yXKLV0hg8m6uK3gOOyKpNM0ej2zRK1lQ5T7P9 dPi1ExLNnXgvLyfOUdW50KfopnOJWKwjpOjr5kp+QddOjRc4PNa8fwGFRzi6KmE6IWkdqdCR aTl6DNgDFl90+q/R1J9Nwuzn/d2DjSy+/bm7/bV/uCOOmOYKl1qZa88xa4rXZx/JXanDy21T J3SgeKtzWSyS+urNr8GhLM4zpZt3UBj5Av/imlXLy9IOjiHhHXHeMVzubYCYxJKpAp+INZ4w 1D0gCbzcUgXKFOb5IyusD1cBPasQ1VW3rMs8cCSjJMCaIthCNl3bKP+FJ1HWC/aCCVZsLrui zVMvG429M6DxW0M4jVCYzo36zOsGuJl93oXsKhQ40A9M5NVWrFfG16+WnkItOiFAfvZAR599 iqkaLjrVtJ1f6j+BGQsAsM6yZdSMZwiAJcj06pQpajH8+wmOJKk3wfoOKGLJPwHLXnsD/CRo CndrD7LT1CIiyFVYaAKB5bgoczIgIwr9oFAo9zXDaytnBlDqqeNDF5KDn7DU1FHHp+ZqiTji GDBHv71GMB1EC+m2p3waTIc2cSAVtz8cgUo+nzDVJmw8+Ihs1rCxmHIa2PzM11LxLexTEPkx dr5bXauKRaSAOGYx2TVN3kAQ2+vphjcXRuizS1aUTViXlZ71hULxYvI0goLvzaDo/k8FWcaJ xlxUwJdAh0nqOiGH4RrDn0svGMGC0Duv83gVwr3UFRg+4zkuF9gghGKkU59EizI1V4UN1+nj jP0KoR9ZYtyr1sY4wNSgZdNW068joCiLviCmAKh8LGrdgReUB+50gMF+pDAfIEnVJPhWrzI7 t4T6gjL8rEz9XwwDKTLfv3FYNE2ZK0EfDxbZddckNJdIfYFaJPliXingPKQ5Kvd+l2qBOYvg AK/J5C/LomF8cRF6+oeuJgNCf2XohheAoDHYJVPhLBVlZ3N8KrLIzV3vQlZlE8CsAALHLOYS OSS3+5jenHNuKNNvyYpKNA1KOHSMyYNDgcQRDrdl2DbeSptZ3Uhy25Xo4gh3ZLkYI0qGu9pe EDTQ30/7h5df9t2e+90zc18urMcgHOerDGSYbLig/BKluGiVbM5Ohml2ou6khhMqt+VpiRK7 rOsiyfnHyKKNHYyh+793f73s750E92xIby38adq1ZQ1fMu71xpuVejPUqsIk7NguNrurTBZW a6UJ9NYAxTQzqoAVQhe626ewCFEizZXOk4ayuhBj2tSVRebFONhaliWGMy3bQrjYCIUPFR6n TCsvYTsVGATksRRSywZ9BzApjnCvgPSi8XuH0gy8Me3ub/sVtth9f727Q28A9fD88vSKL8vS 4KVkZbM21zSV5AgcPBGs/n52+OdoHAJKZ19NYH1MTA81M3Zur+C/MwXN/bShyzGwZ6ae0AfE UbWppg5awtgGLLRLocqF59weh+IKiKD0Wi29llnwQl1217Lm4pstQVvA2gUel1In4L4NZRbC JGgKdGW8a6798cSoBN+CYeEYXDC5eHQOJ0O947ox7o6gbmLiAf8RAlsd4s3xxik9WLbcFH4G cQOtSqXLaHiNrRo4N2xQ9uE8NLC6bgIzdq5EQfEeE11x9jxpkUnS0lqsUVQySFmAXLyWgnfQ s9Vc8he9FlmYjNx4mvKuYW5OTAIx4xk0Wb7nCS6IqY3YYtE3HI+zogQq1ahr4I2LxeC/7/sT jdMbDMTavipjb4eR6EP5+Pv5Xx/wlfrX35YJrW8e7p7pujBJ3mGzeHKVB8Ywt1aeHflIDOko 2+aMHN66XDaot6KkJhuYdDZ/h0V1a3wpoEn0OWWulncNqOEjR1RGgJ3WYGqknBCaNjEfi9K6 TpFqNxdwcMDxsSj50KP5EbXOjsDtf7wii6dbcHTnYtDhSsMen0tZBXvKmlLQ92JkGv94/r1/ QH8MaND968vuzw7+2L3cHhwc/JNYWTDW0NS9MgLTIPrRSKnLIbiQ3QSmDhTuo0sfFYe2kVtq yHGrErqC5UP4SB6MwGZjcZ2GM6JK/Phi/6MbbeMoPKhpbCCqI2xBw0AdAK0O+uzoUwg2Yqx2 2M8h1jKVpsYcXZbk6xyJEXUt3cnkQ6oWLSg/IPXJtq/teNoh2/hgpKzaAOME62WGebmZtbei Tl7mmJgZONizGNLZDUJ1vzuGWYnbibRYTsv3Qvn/sXb97gNTW2YJjWE1g2vGdoQZmQ9mHY5o DSopsH5ryGEOFHsgTXaX3d+/7NH84+bl5gOeybdo0iQM0w2p0oxgU02tpf5WmDsmTdSrAgGY pTEHKQgoSZOgdRKDo+EomuFTkX6EXxU1jFXRqOAlfeuCIFpOlAhmuJfpRduZfFUMPLamEIee t2M5TlnACvy5RpC8mEQ3mSYYl+xuZTYeyOaq9N4L9bs04TwXTrKvjUwfk1gG7cE0i6jzPhba UK0jNJYx5CbyHYYA7c0BCb4WhcvZUIKYVVDfNUMhXEFby4i0dQuf5yIwwv5tY7jtnOArWR6H tqDoFrp5ug9Ovl4cLjYYU1w7pdH0h72aHgi97M6YRNdippsu6hnudmpcVYHRxZfY24U8+3h/ c/vz3z+w6X/Bn0+PB/rj2KTB4OeTvz7cOg+ig58fxzXmDwK1HjS75xdkfig1CEyhfHO3I/EQ rSc32hds3GM3IdjfYxYmt3ZyOJxZSb67cM9v0GZg3qT/ZtVoOsKFbPCSkSVlx9zKb0Nd3BVk b9E7FyV1N7VyMEi/AHZLmD4L5FPjr/6GGicnqVEN0QEBGhLqNke7oGdPsEjQgRNQ5jrj/3H4 B/M/EGGwhi2FVz04aLhv0Isq1hu8tgHRP+RuDsTy6LkFQc5cPNNA0dPYgkUpTF+4k9sefqmy E+TpDIHh6n9hGSgcGA4CAA== --UugvWAfsgieZRqgk-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7567691204082902999==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [net-next, v3, 07/10] net: sock: extend SO_TIMESTAMPING for PHC binding Date: Wed, 16 Jun 2021 18:39:56 +0800 Message-ID: <202106161851.JWGqcRLJ-lkp@intel.com> In-Reply-To: <20210615094517.48752-8-yangbo.lu@nxp.com> List-Id: --===============7567691204082902999== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Yangbo, I love your patch! Yet something to improve: [auto build test ERROR on 89212e160b81e778f829b89743570665810e3b13] url: https://github.com/0day-ci/linux/commits/Yangbo-Lu/ptp-support-virt= ual-clocks-and-timestamping/20210616-141518 base: 89212e160b81e778f829b89743570665810e3b13 config: arm-randconfig-r023-20210615 (attached as .config) compiler: arm-linux-gnueabi-gcc (GCC) 9.3.0 reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/f03864a45f4fe974148245453= 98c837eead55409 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Yangbo-Lu/ptp-support-virtual-cloc= ks-and-timestamping/20210616-141518 git checkout f03864a45f4fe97414824545398c837eead55409 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = ARCH=3Darm = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): net/mptcp/sockopt.c: In function 'mptcp_setsockopt_sol_socket_tstamp': >> net/mptcp/sockopt.c:148:12: error: 'optval' redeclared as different kind= of symbol 148 | sockptr_t optval =3D KERNEL_SOCKPTR(&val); | ^~~~~~ net/mptcp/sockopt.c:145:22: note: previous definition of 'optval' was he= re 145 | sockptr_t optval, | ~~~~~~~~~~^~~~~~ vim +/optval +148 net/mptcp/sockopt.c 6f0d7198084c40 Florian Westphal 2021-04-15 142 = f03864a45f4fe9 Yangbo Lu 2021-06-15 143 static int mptcp_setsockop= t_sol_socket_tstamp(struct mptcp_sock *msk, f03864a45f4fe9 Yangbo Lu 2021-06-15 144 int optname, in= t val, f03864a45f4fe9 Yangbo Lu 2021-06-15 145 sockptr_t optva= l, f03864a45f4fe9 Yangbo Lu 2021-06-15 146 unsigned int op= tlen) 9061f24bf82ec2 Florian Westphal 2021-06-03 147 { 9061f24bf82ec2 Florian Westphal 2021-06-03 @148 sockptr_t optval =3D KERN= EL_SOCKPTR(&val); 9061f24bf82ec2 Florian Westphal 2021-06-03 149 struct mptcp_subflow_cont= ext *subflow; 9061f24bf82ec2 Florian Westphal 2021-06-03 150 struct sock *sk =3D (stru= ct sock *)msk; 9061f24bf82ec2 Florian Westphal 2021-06-03 151 int ret; 9061f24bf82ec2 Florian Westphal 2021-06-03 152 = 9061f24bf82ec2 Florian Westphal 2021-06-03 153 ret =3D sock_setsockopt(s= k->sk_socket, SOL_SOCKET, optname, 9061f24bf82ec2 Florian Westphal 2021-06-03 154 optval, sizeof(va= l)); 9061f24bf82ec2 Florian Westphal 2021-06-03 155 if (ret) 9061f24bf82ec2 Florian Westphal 2021-06-03 156 return ret; 9061f24bf82ec2 Florian Westphal 2021-06-03 157 = 9061f24bf82ec2 Florian Westphal 2021-06-03 158 lock_sock(sk); 9061f24bf82ec2 Florian Westphal 2021-06-03 159 mptcp_for_each_subflow(ms= k, subflow) { 9061f24bf82ec2 Florian Westphal 2021-06-03 160 struct sock *ssk =3D mpt= cp_subflow_tcp_sock(subflow); 9061f24bf82ec2 Florian Westphal 2021-06-03 161 bool slow =3D lock_sock_= fast(ssk); 9061f24bf82ec2 Florian Westphal 2021-06-03 162 = 9061f24bf82ec2 Florian Westphal 2021-06-03 163 switch (optname) { 9061f24bf82ec2 Florian Westphal 2021-06-03 164 case SO_TIMESTAMP_OLD: 9061f24bf82ec2 Florian Westphal 2021-06-03 165 case SO_TIMESTAMP_NEW: 9061f24bf82ec2 Florian Westphal 2021-06-03 166 case SO_TIMESTAMPNS_OLD: 9061f24bf82ec2 Florian Westphal 2021-06-03 167 case SO_TIMESTAMPNS_NEW: 9061f24bf82ec2 Florian Westphal 2021-06-03 168 sock_set_timestamp(sk, = optname, !!val); 9061f24bf82ec2 Florian Westphal 2021-06-03 169 break; 9061f24bf82ec2 Florian Westphal 2021-06-03 170 case SO_TIMESTAMPING_NEW: 9061f24bf82ec2 Florian Westphal 2021-06-03 171 case SO_TIMESTAMPING_OLD: f03864a45f4fe9 Yangbo Lu 2021-06-15 172 sock_set_timestamping(s= k, optname, val, optval, optlen); 9061f24bf82ec2 Florian Westphal 2021-06-03 173 break; 9061f24bf82ec2 Florian Westphal 2021-06-03 174 } 9061f24bf82ec2 Florian Westphal 2021-06-03 175 = 9061f24bf82ec2 Florian Westphal 2021-06-03 176 unlock_sock_fast(ssk, sl= ow); 9061f24bf82ec2 Florian Westphal 2021-06-03 177 } 9061f24bf82ec2 Florian Westphal 2021-06-03 178 = 9061f24bf82ec2 Florian Westphal 2021-06-03 179 release_sock(sk); 9061f24bf82ec2 Florian Westphal 2021-06-03 180 return 0; 9061f24bf82ec2 Florian Westphal 2021-06-03 181 } 9061f24bf82ec2 Florian Westphal 2021-06-03 182 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============7567691204082902999== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICOzMyWAAAy5jb25maWcAjDxJc9y20vf8iinnkhySSKMldn2lAwiCM3hDEhBBzqILayyP/VTR 4qclif/91w1uANgc21WJxO4G0Gg0egOgn3/6ecbeXp8e9q93t/v7+2+zL4fHw/P+9fBp9vnu/vB/ s1jNclXORCzL34E4vXt8+/eP/fPD7OL307PfT357vj2brQ7Pj4f7GX96/Hz35Q1a3z09/vTzT1zl iVzUnNdrURip8roU2/LqHbT+7R77+e3L49th//Huty+3t7NfFpz/OvvwO3T6zmkqTQ2Iq28daDF0 d/Xh5OzkpKdNWb7oUT2YGdtFXg1dAKgjm5+dDz2kMZJGSTyQAogmdRAnDrdL6JuZrF6oUg29OAiZ pzIXA0oW1/VGFSuAgMR+ni2s+O9nL4fXt6+DDKNCrURegwhNpp3WuSxrka9rVgBPMpPl1dm8H1Vl WqYChG5KZ0aKs7Rj/V0v6aiSMCXD0tIBLtla1CtR5CKtFzfSGdjFpDcZozHbm6kWagpxPiD8gX+e +WAcdXb3Mnt8ekVhjfDbm2NY4OA4+txFt8hYJKxKSyt1R0odeKlMmbNMXL375fHp8fDru6FbszNr qTnRp1ZGbuvsuhKVcGe5YSVf1hZMMloZkcqIRLEK9qqLsYoFijZ7efv48u3l9fAwKNZC5KKQ3Oqh LlTkqKaLMku1mcbUqViL1F3SIgacqc2mLoQReUy35UtXpxASq4zJ3IcZmVFE9VKKghV8ufOxCTOl UHJAAzt5nILGj5nIjMQ2k4gRP01XHQdeUzu2KriI63JZCBbLfOGuqDvxWETVIjH+8h0eP82ePgcL FTLGYf+uQNp5aTqTUd49HJ5fqMUtJV+BzRCwRo4FyFW9vEHrkKncZRCAGsZQsaQUtWklYfZuGwsl tXApF0tcfGAiA9mTUx1x3lsjnQQGQgCo/o8su0nDpzfjflykg+0GRi4lx/QbDu10IUSmS5hRLqh9 2qLXKq3ykhU7Vwot8kgzrqBVxzvX1R/l/uWv2SvMf7YHvl5e968vs/3t7dPb4+vd45dgCaFBzbjt I1CqtSzKAI2qQnCCaodLMdGRNpIU1w/wOnSCjEijUlaCcxlZoIJXM0Mpab6rATcsOHzUYgu66Cit 8ShsmwDEzMrYpu1WIVAjUBULCl4WjB9H1LjB6yyyImxF5c+vl/uq+cUxFKslNCbtkeFLMB92j3fK Ym7/e/j0dn94nn0+7F/fng8vFtyOSWB7978oVKWdQTRbiEYRRTFAM5FxTxOadg0r5M5uCbSMDaFn LbaI3aCgBSawG27cwVt4LNaSixEY1AmUtRzBM2k40QeYVEdfFO6bFsVKl5el4CutZF6ieSpV4Rm0 ZgVYVSrblhQAmJfEwICwuTkrfSl1KixS5vilKF3hJG3kUDjO0H6zDHozqgLX4UQVRRyEXACIADD3 IH7sBQAbcvWcWgo60rGo8ynUjSnpxY+UQmuGv9PKwWulwc7IG4HeED0K/MhYzimrGlIb+MULvlWh weVCNFR4ThgcQiXj08sB1tuLnpMMYjIJYVJBjGsWosxgR3eewtEbu7YjcNI4fmcz2bit8W2+KwDF WtGiqxYEKyJNQJ6F03XEDEij8oavIHMKPmEDOtPXypuFXOQstYlMP7zlNaGU1YYTbtbDpBOfS1VX ReAtWLyWwGQrJsoMgFmJWFFId7evkHaXmTGk9oTdQ60kcCuVcu0ICKM6m1ANgwArOQ/kuOJuqlQY ce1OwdoLC6UkkkUijkUc6Bwqc90HX92KIxD0rF5nwLfinjbw05PzkSNs02V9eP789Pywf7w9zMTf h0fwqgysOke/CmGRG9Q4A5Ne+gd7dOKGrOmu8weG3syQQbISkk9aoU3K6AzEpFVE7bpURY6OQmtY wQKcUptBObhllSQQZ1uXZaXKwFA7Titj2sI3dZWjEZUsBdMRe/u4FJk1/Zioy0RyG5X4e1UlEtLx BSlTPxMfdC/zBqlNpbUqSlBhDTIFo9MN09GUjK+auKEl9XLxFbiRMaKhh5AtSdnCjPFdvLDcCAiz CQRsSxkV4JxAtp4nsnsnY7tWoXmdxDzA9jOqbELoqHouwDdmDGjAKCwpOOxIVexcnF6CkFSSGFFe nfx7cvL+BP/12EXJIlhom0Caq3kb89gQalZ++3pwd0GWVYRWNTNChShycJESGM8gZXt/DM+2V6eX jjkrMjCZ+QIYgV/Xf2Z0Xo0dCf3hbLudYiMB7xgVMl54MYVFxWpNZ/KNzNnp6cnJEfwZn5/741rJ JE9Prx+f7z59Oczkw9f7wwNselt+88yH7QL0nzLUzawiw+bvL8Cux2626+GwvBGgclFuZB5bG9/v myMs9f7LFdMIFozkII6w14XL+vnp9vDy8vTcaY+TmlghO4EggM7mf5/7EBZBRiXWAVRbcCoWjO98 DAe1B9t/volIuFyXAVyfXowhqNvjKSRuxO+0sLn1WnCwiVRQhVlYM3wsDW4vf7x4AlemkBGJhTVi wd5eYRxVL0WqvbQF90162k7VLGVSXl04XkCUaA9AdhDiUuU0AFsXT9gFi7PRoIMbAlSB27kRACRl qg4GGNIjx5A0ZYM3LDd8/fr0/DroBgjCCXcMq73cpQWAfZeumrs9uV7dWTM375q0gM1GKuqFhqCr hy5v6kRuwaE5swbYlI0A1PwI6uKEED8gzk5OggLQxXQvMDbdzZVThGeCRU5YquCrjSKCbbthEHxY b8XSellBPJ5G7p6HZAjNdH2jcqEKNDGnp30HKYS3GUYv4CedEA8VDQsiYwhZ+fBjp37dGj0BIzZ7 +jqypBjnqYQyoyU4aj++7NLDZgNAIFBUnKoR3dicqlBZczwCKjLGRMa4CJ7F9hjhnVNj3krdlq8p m1AwAz6oyrxSOqa59Q0G2HFckBvIk0NXvJrpp38Oz7Ns/7j/Ys07IHpc8nz439vh8fbb7OV2f+/V stD4JIW49s0RQuqFWoMIywKNxgS6L1iGSIiwvMSvR3SFeWw9kYd+p5HagL1jazJ1pRqgmTSacfFd fhS4TeBmosJCtQAc9L62udAxfoLZkpz88OTCSVH4biqTI01x3uvM51BnZp+e7/4OciAbpHEtsW/s moxlYKcUPDNlVLO16Sh9h3UNitRhIID2kbBNdCSKYjeM4xMYnrkYt05KqH4/Q/npPghGwkp6B7MS ww1JFi48KjCB1WQXpVAjWcMEem5mMS1iwGMfE6Eo4FNt/jw93X6XcCWL1Uap+LuEN7v8+rtErPxw +l0isd3lylBkDlG2hsy/Xv/ZkbmrSAvIXeNmIV3IyBg2gfn90x6r47OvT3ePr7PDw9t9dyzeLMXr 7P6wfwHj+ngYsLOHNwB9PADP94fb18OnQWcSLep8A/93vGQHqrfah+IZWEM6hOVTDDUxp53EQz8J yvdpKoibyHptzJy540+O0Ijr7vnhn/2zq5XhpoNktFRcpcR+tKZsdFbXG4yplnrUsp9rIotswwqB ASzEmqTGJZuaJ23FkC748ez8z+22ztej+LQLuYWoo3xbQl+EbBdKYUra8eKEpNm2jo32AcY9rmgB tY67rKI8fHnezz53cm4MrHuUMEHQ60+4Qq4sORhM78KD/YaUgJ22FZPBSPWo+cUlIslopaO5OJ37 JZcWFaVsJeZmonMmzPGe+RJSFjY/gezG09oGq1W6Oz07ufBHxlsjCWQdGaQciZa56c/zukrR/vn2 v3evsG8hjvzt0+ErSM7fSk5ilHhpFATEGFniJQwITyHa27DRZYuwGNNAC1GSCKVpeJ7JAGJHtwWn pVKrcSnJZLrxKs2p9pjAIrH+jBOrdDAvrNNCLFLKZNcdcowJVkLo8GykR7Z5pCp2JOeWqza6rjdL WYpUjioVZ/NIlpiE1WXQCWS8oCx53BTqMEcQxrTJnkdn3FBgKAdjewpuM+amzzbsHqU/UnPMDbB0 3N7HIeZnBMcEyikohgBLa0dCQ2eT4qD86MKH9NzDoABVTh1QpLAj8FA8GBB+x3TFas6qSalc9MTB dEBFH0q7FBkEEI0ctOBYxXWKwCquUtjpuHPwFKUQKaE9FgPrqzLvbKm5VLAFpQjVGvP9qApUgKcg gTqCqYIljp0FV3hrSi5MBfzl8dkIwXjgGJuSeqOPOHXfZ+aqFgnMUmJ2m4yMBE7IFlRhTbwiBVaS 3Yp+2NDq29HzNEumk7xeQ3rde40FV+vfPu5fDp9mfzV58tfnp893bV433G0Bsunks2fdkjVVd9Ee +Qzl9iMjeYziBUCdVguwwI4t8oAOXx0YQuoSpQP/FUrvKG870KK+NAbF4/DHzHzXH+h/hud0rgm2 B1oGz4ncwk6ryHQMgStLydTkp0O/eAiCBQHYJcB+lbcXCFz5D+cUJWwFXkNMQSgXbPRagTVKmda4 ZbEwgPYwyP+Gg3yrBeLfw+3b6/4jBM14aXRmD6FeveAxknmSlXY3JrEmbxi1JIYXUof2G3lr8Unq FpO+B8SbkWuNdyS1vT2JRo8mhA07QtyQ/UJcUoiYHjO4m6CAsCu6tGo0JSwrrezw8PT8zckmxtED Dgvu0FkM5D5XsQ1W64yFvgadqz0q9bXC6BRMkC6t6QDbY64+2H9e2bIQqDSeWc5VllV1e+gG5l9i 3oVO86ov0NmaMXhBa9JWfoSWCpbbgjFVCdNKpS71TVTRFZKbswTWi9rFbVAiWJHuaqlsqdjtEtiy ZwElfRyyqHR3YbZfselFGSbsHl6uIpAIWBt06f0tvfzw+s/T81+YgY2WFDbXSng1rAZSx5JRLhm2 +9bb/BjsZwEE27pdluQ5/TZxY1z8wigpVa5HtFCWLpTbnQVOXK+wOInnyolnNizcVBFGi5LvRt1l coFnllM9smXQlXBzoGZQ3cZGww1FEONKUAbfZN5ZPXxOyVvm/upI3dwu4ZBmU+QaL0hg8S2uC1WV oggaJzLCjSPGWjgaQmPgjec0k2R2hJaYlUuan4YIDHukjJtIdhieMmNkHPCpc010hxKV2r2a1EAW BZ42Z9U2RNRlleciJeg9TrKWlaDOa3Y5wNRKChOuq9TrUk5wWMX0uImqRoCBR28IXHZQugmF8LWv gzi7x+9HoGsuOV1KkM1sUHenRuvn4jcKNXbY7lxjjL7oVZHouKfhVeRG1l3ZucNfvbt9+3h3+85t l8UXxrvVqNeX/ler+3gHNvEVq8PBFBL6dpqlaa6GGdhndcwo/lECl41Z8KRyidKepO9thDtWJvWl v5qXjUUJdahBjaDYByhjADGyHEPqS+8KIELzGMIG68PLnRYBkhwr2DwA8RS7g9CNA8sSslhFJcR3 IbjZnqOFzFz78z1jBfRaZiar1/NpCiMWl3W6aTgnzVlHtMwYD3VOp31bJ1XUoLLBZ6CxDWxV4Yua PgAYzAS+0cHUO2MTl6E6GkjPbF4Hpj3To7tFAzHkQKUo6JhfH0GCqYo5J7UbL+2WnvPD7343N0bU Cg13L+URp8ixkPdD/Ya35/0WP8gBMXKXU7mpN3wE14wR4i00ArqLwc5FSPIlDkTVTuBc4kmH6+M6 CKbokgfnqIBLGfluAFFRMb98f+531cBgzZqldntL5yXtJZpbMMQgaxi8fn8yP/VuOA7QerEu6C4d mmyKJhYc9JWqDKXO7oOPuTtFlq5cZvD2M+SUqUAEFeDNnVsxkH06lwH0UgXx12WqNpqRrxyEEDid i3PPUPXQOk/bX+yFYYm3CBhpZIYmeJXcje9BLfshnDjC3hzvov3rt8PbAWL9P9oL+t45eEtd8+g6 sDIWvCypy5M9NjGcagVKdaSVLqSiWlmzTR2ldgSFe6myA5okooDXY2AprlNq3DKiLlEMgjHjrsBk kj0xnNuRzhbkFGKDlnwMh59ubt2TFwUpvutw8BEJZIPfYZAv1UqMh7xOSO3gECSkR0dMrsdEYSeM GpFawOUyGQO1JFu38BFD4AWxiHSUaay8HWFYlKPg3y5L44LGlwru9y8vd5/vboOnyNiOp6OuAISl ObIq1eFLjjcdg9wGETb+Oae6JA/1OmR1NvfrIhZkzw7oOyEtQRiAhNyY9Sj97eCXR9pB0rIZz615 QDOGe+/z3C7c6/4dPMOnrN4Ff5sPWTAFa4t0w0NmB+Vd6XfgebQrR7rX4kBqExNvCTJh3wdRbfGI 43hjznIZjyfN3HdLNo/kZVP2EGP4wqNeWNJCRWPCTBYja4ZwA7FmSnScM4oLfMtP9CHHhRMLX0Ui eFA8ouGmog+4e8Y1WX3q0BiGUGPjY83pVsBZpghpyIQQRZMSYCmIkv9YeaATO8CReL+jOeoDWprW fEySlbyrGx6xgolMnEP2mDsaEud4edcofNrvTiWCuABCPBaviX6VFvnabGSzEfs2Dhi9JxVwNjGR 46U7SFd2DMGpUjryau94QigV1ZWPGBWEQBqpzFfBSKhh/soipF4Y5UNz4xidpQnsVTNrCFZDdUjP wI4ZLGcAkpDIdVE6XeFXbbI4gIAOBpBsKQP2uJHe2PBdK5Hhlc96gbNinPYPzVtH7GMi3nAohnKf M3SxxXPPXe0/JYtsAOeWsGevh5fX7gCwLZGPUAHCLXv3wmdZwWIblzZ3kPa3fx1eZ8X+090THv69 Pt0+3bs3gbwcAb/qmGUMHxKt/Q1fKCeEK5qKZ3Pravv7/GL22DL76fD33e2BumuYraSh7NWl9o+P 9LUol67Pg3TUuH+tpPlwsmDePMghU19el8VWQDjob+AdXljE2wRJTNsPh2QZU29TWgLNHE5bmNCO Q90x78rWUWn1WuVbbvisC0YFPoiJeBYSLza0OgPqP6cfzj5M9CSNsqWOZtUgF4wb9kb3x5B43TDp QrYE3yblflLpYYN9H+DwMWHzjJl+oUew6CwgZfRZAjuy0O7rrBbSVa6G+kOPyP8jwJ+litTenmxU Eim2K0YftEGbFacySzzDKCqveriRhUjxIHAQdbLAVNmp4DT596ktsYHzFmNaFKNIFR4f4jUFSB68 eL0n4wIvFbXP+mqVV+Rr9I66ENcVsGdfxuKxjFjEETE23iVp/waMJcF4gZhPX/vSNNL+dQ+a6yJm 3Vk8rU4d5SaIBQbj1NQfTonpdigMofHMfGnfUDTvaHp7mKyka+Cb7zoVscdxC5a5rmg2WgJ8tzIZ 1Xyg6pScycTdjTIZK6SFQg+0s7XYyrgLKPSyTiUBweOHstyNR+jwuORu9ETFX4mzC+EDQo+FLFnq A3MuR4C6Yu57FIQuQzKzjG0hrfWx++dZcne4x2e7Dw9vj20OO/sFSH9tjbBj3mwH7h/IQQBGUBVL W46GFUnwuSd5pAcYnV+cn/v9WFAt5zzsBRBnZ4igV76lmNvZT5JkkhfKXt4LOnJpinUgZYQQUrXg hlNXMuX8FH4yGkrRj1exgY1p862mBNyCj8zJnCWbIr8IRmmABEsW8X7ezdmJrH5IU7q+NJUjepmS c2wy1KJb2EQmFoNw7GUOJ3stFOyt1A3GEyZTtXbDJIiaSqXSLpTvlH/Kh7dvlZ2FaR6IeaDww/kj DsO1Ci7thZaooqtRiGeGvOiOqFq7ZwQ4Rmb+n7MnWW4cR/ZXfHoxc6jXIilqOdSBmySUCZJFUBJd F4a67Jl2jMvlsN3T3X//kABIYknIHe9QizKT2JfcQRwAmjgKcHAD3TITZqUtEe3ujqkJSTrrqyJL qNWvgdQ4fwI4LhHgXeI8oWX2F/0E/0c+8SJs0TtQggrRwNkkLNkVaA0fxWRphEUbwl8o2YFzguVR kDuKQIB9//n8/vrzCZLk3NsrS1TRQxKAfqjOpTnKXbFvExPUZkkLPkah0yGBgchl31AIgqIxy4MP kFRcWrN8xalGZ421IsGVmLNERq4SoCdNW2cYDJjyxKlcoqidFUonScBwhefgE3hacAm9K25hvCJn ZvKHt8d/P58hogAmKfvJ/8PsyFxRTn62mp2fxxBxs0IOb8AXzp4FnKrALkKxuUQUkTmqhPYrpz7W FEkbWOkAjH0H3GMHnsPXmjRT+Zok0hIknHHc3DqN4LdCU2SrDzo9UhW4iU/QHAiDwwdP6SHONs4h YUY38bXYLMF2ac3VCMZnbMJea9fuuF5aUcnqCry2hqQ75c9f+YZ/fAL0g73GzFq4UM53TpY0BazX JVrfleJkeZf7B8i9ItDzsaOHnM8C4Ye0U+QUfoZN51vxfC9iuoxtMxRVLpJc2dfECFdJnDyhS4Ky 2QkxzbdNOLrqjAxoRmum9r398fj+/bePjmHIFSm1b12R2YX6i5jY/b6Eq8Lg8DmIFvhdzs/iXF+p NCOJ/XsAP64hI7qIxz+Ttajeffp+eb2/kekutP7cgVlZb4sADDVmiJColmT1wf0CdW9TqJodSGqe 3PlqHWIaE7IJF1vNPM9/RyuNA+0ykjndt9KBykEDDw/wWtTp26QhuZ4ySgEG4dUEzjD1sfsc6Qkc FEFRiewvbT90/SDc05HGT6XRhH+wl+lznaIEI3Xl66I6Umnkc9uZHaiuIBrBFFo0ZFIbLFMYXl4e 77m8y+R6dNbx+GXHSLzusWZmDRvQ/DH6p6sN0kb+oWI8LEzbC0ykbxpPQ+dwtcfvis2+qW1v5KOM I5HZPubqDPAArqZGDtxTRxs9XmWEDFSlvpyVoF1S5UnpzbMpqpkCMEVi4nH8pyDEp5/8+HzVnOLP Yrfq7Z1AwpM95wVpWoei79pkjqzU8yjM32lJTzAF2EQH7oSt1Hu54ZKqpZOODAJxwBlGCw1QKJnP CsdZUM2tRigeW3LyMMeTZrL1OOVJAjjnVTGQXaVGswI0dPhaM9NHbixFfsovTww7ZaWCeLBjV1sn CwMm9Kh7dhV7I4xB/jZlYwU7Bw6IUuMsUt/qqXoVjGWGBQ1MCTKygy+VnWlGA+Su4IKKjJREuQPP vpryzji6m0R5yYPTe90OpSHSjXkM9oSlnBLnytIuGJIGcxcSmF4PYuTcXckvmWoodZ2yyIZQpEQ7 V+iBmNOhAK6WbkTA9a3mGB0Zvffa/VxXlZPDaMLuK1SHTbvpMGgur++PQuPxcnl9sy04HcQNrsHm 4fGwBwou+qw4//4Blcq28gGViORsuaTAT5vO45QtWsXPxL9VUtdi9wQQwDJtWCmL0eapA8V2LpLG XEHlpBXDfieDyz5/CrwFDMdKZd8rDCWBSwh6vLoq77ydgoXGVDooTxZDd0LFjB7fIL/CT0hzK/MZ dq+X5zeVMKG8/IXMfF03nsUjqidgMhAp61g3R7G1Cf2lrekvu6fLG+c1f3t8cS94sRx2xBzYL0Ve ZNaZBnC+JWwmSn0P9njh3l5XzEVy6fNsBi2NmJTfh3cdlzzPnpwEI2HpIbTI9kVNi04PrAYMnI1p Ut0OZ5J3hyG4ig2vYpdXsRu7j3bNK28nLcoI9ycf+0mC6+gPvsYeA5iQTidqj/vu9AU/8kvc0WNa HjRnnbPjAMOZp+TKh8eOlNauNzWFAlRjQpE4m1JWVIaW+cqmkBL25eVFS9gD0YyS6vIdkthZO6cG FXQPk9cou56+Mw93jLrrXoFV5LRvVysisEaJoFW7FJbF4SLL/TNTFZ2g8VTQsTheLMwG51kYyNSD GpDwVq6tjmXEBih50+yoFLsSLmHdcabZfz8cM34dHX2Xg1hew6nlx4gzCqD48uXK+2gmZWbOh6d/ fQIx/PL4/HB/w8u85kUBNdIsjlFTJUwKKNAGRq3hUXlT2K5MdGcd8UUp17Mx9Q6I/7FhkIGtq7uk lNbQ5WK7srBFK4KzActnVSkpH9/+86l+/pTBODjWCaOjeZ3tI3RgPx4zafnjUpG5XQAy5jQ2T5iq qKzcYcaOP4tPZ6H1j1/4hXp5enp4ErXc/Etu5lnpZHdG1JzzSkpiq9VtqoQCY1jqGdYnXM23ZGg3 fsLwecZi6yYaxeUg5WaWRWFuTEc9ztETCU3aU2G/DeFUXWbAJkchKqrPZc1kaHM6ijpiTXjg8Ssr c9qMlLugErvgenPrvkp8/I4g2DeUDN6adpyVJDvcljsRnXarYAEWyQ9G7jDsyqz7YHzz5ESq6+uq 6/ttle9ohsw/O1Y9QeAg48SLJdpJ4D8/WBmevO0zQU8wm+7cZNNeNDe3o1E48K6ECFIo1dEWez0r Jgo4zsGCdp0qS/ICT78/7xt+9iV4K+R1Uu6NSuTV//j23TywGHWcNady4C/DUWHCjKpPZ5EQdltX 6o0gZA1NaMlkXwt0vfaRSHAxu8dgpGnanVvSTW6ERZbxw/3f/Dh3k8lO3xcZtnQ5FDTdh4RSK6e+ hwTi0q/1SFGnyoV3TDKBtHByHICLRvSjbCDv5//If8MbzoDc/JC5DlDBR5CZffoKEbyYkCOLHKqT 4VH4cYV6GcfU2uQcMJxLkbGHHSBfh3WNC4K0SNVTaOHCHF3AQmY86pWJgGJfHgu74sNdU7SWeeGQ 0ozffqsYf0QDzxIrcpFDyvYp/zqXR83c7jNg1utL0IC/IKaQSb/ZrLcrp6CBczNLF1qB6G4+VmBG +0um5EQLw2Q2riEdPp0GiIorj8O4H/JGf4BKA5o6vfxI6Z2pqoN0RZ3uztuRHXWYIgHklyUu5pGM baOQLRcYHypYhoHpWVv4aVnW7AjegkUrXDo1NVozkNJw0JX5RGt+n/nYCkEBC6/FA0+bnG03izDR fWYIK8PtYhHZkFCTQbisxkQCbI7h0omLSA/Beo3ARY3bhcG0HGi2imLMQJWzYLXRrq4GwrUOuo8K M7htJrjpvjAWV34eevEYAxhbfRbF0TRpao+VpwPLd4WeWidUu0SeyEUDUu2ba9yVGD7NISbFK6yd 2F2BadKvNuvYgW+jrF85UJJ3w2Z7aArWO7iiCBaKMRlPaLPFmlo0XXNGC1a4sxu7hz8vbzfk+e39 9fcf4nmPt98ur1ymeAeNGJRz8wRH/j3fi48v8F/9ma3BzGrz/yhMs+GolVQS5vcDlA4ioLJosGBE 5emufnF2dzjd2r+HrtOVU2BPTMoM3hUyPe8Epu1Y7xFXDkmaVFy21s51eFvK9Es6NUnl0WAbp9tc KKSwyye2gGWMjKKdwxcAcpDhSrNkiHygGaKODHtGDSKTb4Jou7z5x+7x9eHM//zTrW5H2gL8sTV7 mIKYyYpmaM3u9LZdrWZupPTRtd3eZUOfX35/946HcCzWTjf4OTohG7DdDqz4pl+5xDChKL81TEUS Q5OuJb3CTErkJ3i+7hGewvnXxbil1Ef1kRXS2IvCwYVST25jYVnWFkU19J+DRbi8TnP3eb3aaPeT IPpS3+HezhJdnKyopBFsmb0tfNJQkePWMzt+nYb8/La4S+ukxWMDtM55m817BQlctI09Qga+Icva YIFnVITXOBPk2E2qoQlSYVanunw2wfe78BZtxr4lGKdo4AfdTDtjjqQsC6pzPRNOJMYyIj4nFOOn yfSiio3sqP5Uz1yc8IX1IoYwChHkGd7NqrFqwH5Vlro/xNw8yAJYt6kPlVrutjMWUsihVvS5d2eS 8x9I0d8ORXU4YhOXp1t83hJaZKir2lzdsU1rLq7venwBsngR4NzkRAMb9ogmbJpIdowkq9Q+MkSK HP21J/EbmE3IqHdOOLu4dHd6Vx+zgzxAru1GfhFi3iWULB2uWQB9l7dAMorZlgVqp/OmI0T0obbg Ya7YBZtejwtSkNCGRAunxbvI82yhROIeqRIZYzygQk1PCB0ur/fCdYP8Ut/ApWWkbjb6h8hzFoX4 OZDNYhnaQP63KflJML/UbtPcgWakYYYuVcJLknI42mVJYAXjWVjFol0vgmMp7uOtCmmzAW1cXfIB SRo0F5cag2O1JOpjAyEMOQb8aI0sbHJbUB5hQ8XieIPUOhGUS/S7gh6DxS0mJ04kO7pZBDqnhK2X iYvCeCB5zXJm+/L9HVwZbaHZ4HmN96Nqvo1K4YNSMZlyX4+b7kYCTVw9uzBON4Mhb2lu5PeE5JHb zdB0d4a6Q4pIAowulVI4+4F3D3hFOewGe3h9vDy5eiV16Il0nZmpCFWojfV8kdRL/Hz+JBBvslwh rrg8tywhoSlf4uUiWJirzEBp42S3YGycfDagoMTj5j+WCRoFtyahZ3Amw8A2+gVvYPiSMB+5UVif S7ZCj491IF/O73jIJvkLYQnl23TvtEzBRWAS0y39GP7z0oP1jcioTLfbLeBDl2FPASqS0Sprfyrg H/eX0N5pDbyn4Gsp9K8kHbZyRtTHlU6UVasGLLAH7MDFB+KOsgDPn4U43td4hdb2H4o30qyNK8h4 bVUDeisjWU2RUfrCMH+EcYUz6pRDhaHBt12Fum1fVHjoiiI6dZsYfc9M4WvLE0EDY5Np03H+Gc+r NQ5rllU9VoFE/I1NmQUrwuB1EXQaJrQfY6pex91FaFq0eYJMnvKV88H9R5tkMb50yd4M28TxVybW Qzmkd02COgua312rXZRHk174oDtnlU6UJscckhR/DoI41B8lRGj/xkIBZao3SnZc7j3jF+tHRJxZ ckqymtYi10ub+WeO4/i5IsfEPo7aJnQ+4LD5IIrskwjMzGUzhbH6kH9j7XdcPnO7IsHe3tCiGr4F Uex+17Q5CvQfmmDQxTavMPR+2H75AhW6HCXKV299dvkKDruyZfhW9rcD7hu0FSNCZA8Yp9854kYi dJVPvi8G22f3NutamUHAaYIMM6lyGacz63nrPpEm6RJ3rQA8pPbrjDLvqkykDNrrUeODirsfGfy6 zHeE33cG+61DVVJ5ZLSrYY/eYVX9rda9m6pjWZrlH06Zcp63YJm7wEGDaBkhNYwYS162nVkim4QK 9Ti9pniYYPIB5s+TMVVA9TaVDdbvpsFVliqFk7OOCfihHPi0lnrZAipiMsFCZMNBJy+fNkExrLMf pxdIqZSek9BjCkqgY8QqlTGyc0o7Q6q3vPYoWpvxCTJftHTCGvGKbsYkcUo9iROajMLN7CM0i0u7 icjoQ+p0fkaDLS80VCrVOT12XY3rlKqz4300rtGzelXHkDUlSIR8cVldvlIxWxgnfJosI1y5NtPI JfQBEbDlbbXHR3MmE+fytU5MXjguorvF+yCjhD+oGCb0ar09aQ6FrpTOOzNvLuTMJZbrkoo9BG/R m+9+NcJ06mVWBCMkhFsudG/WGbrUZeSsDZe9rurwVqoZeosTHnTJEdYj9xn/03iWSIcmYRCfEAas 65C1sbGQdZzjB4jQEA5Rz7+hZVTHU+3bF0Dn9zUE7Il3APxieizV11gN66LoWxMurTHRMCaT3pOy vDNCc0aIMKvrM+WqlzRdqBri9shZJojhkHFsrokozBC7nd4gGCdhHwI3IBNsv/osYAdOahjYOFA+ GCF9SH5/en98eXr4kzcbKhdut4hNX0xxm0olocgtWlRoYmxVvsVizFDjsYoRXHbZMlqsXESTJdt4 GfgQf7qItti7QFr2WVMahuCrHde/V9GXoGYzC2bUWBdihMp9nZLOBTbZDgMm4zRACyalpvliujp6 bnh1HP7bz7f3q3HdsnASxJGhj5nAq8gzaQLbR1Yzab6OVw5sEwTWnBxIHx/y0AQSqbbVIUxPQAuQ hpB+abe0EnY07P4Q2BPJScLX0tH+jhEWx1ssy73CrkzjhoJuV3g+CUCfCMbOKww/bfQZfPvr7f3h x82vEHunXPr/8YNP2NNfNw8/fn24v3+4v/lFUX36+fwJfP3/aU2dYDSsAe+2gQuRSRiNpOoWUd/r Efbi4MhouNHlMQW0U5WM4Nu6SuzxUlGSnkHJ4GR0977yPraABaSGEyHHtp3MQouuemrUyEbnXG81 lguLwJI9v+zLGrOUAr7YhwtrQxe0OFkr3e2xOChlxjqZIlA3xskdsz+UiWl4lnBmjROhexvAj8zG uRZI3RjaIoB9+bZcbxYm7Lag42Gon5MevbbAdavYLpl261Von8yn1bJ3CHvm7G/JdXtqq2E1ON/U vkeBBfKM8wXihMkS1G1bJ6F8TTdms5vK6kfTO3uh6ZOra1M6KtrrftKWmuCWkMyugEVZuAwwpanA Hrj0nZLS2TqM0K7AWXSBblr0bR9AWWtd8PE754CW4LWvkGO14vJZeHZ2G2eQvx65eOR5aIVTCGPD deyQNvijTZzgWHH2nth7aoQOO7tBU+4mb5VniisBAefmizLRpe9U6ctma+8TyFb1eXrekfORz5cn uFZ+kTf/5f7y8u678R2XZjFYSc24GE/HQuv33ySzo0rU7imztKIsbq2na8VGllyUbw9Bdj+W6DyW l6sxFouZS3gCKT9OZwUJHLirQtYD79DLHAu2SydCAozYByRO6jqte06PIt1hFpJccsgc9aw7584I TF94yswvFZyShgjEwbzKWOOxvTQUdc7U7xj+wxAppEsGI1a42gx+egTnVV08gCJA1EDb0DSup2LT Nbycn9//gwkbHDkE8WYDbwCbT7HKzfEsnvJsDnclSW/Aw9D7EtT7T/7Zww1f+Hz/3ItId76pRMVv /+uvEmwE6JS7zdaK4BxO1155jReecObyHxz+wBxojDD8NlKpKoBwYYe8Lyq8Ig5Cm4K0X1W8zriy xJpVDMnsbgE1sju2w4w2UqiznB0n4HBCnTMArTJQmO12cokIIE36dbSY5U4Zg/Lj8vLCmWIRd4WE s8rY4u6wxjIsyQbO5nYdnJ+N94z0xupcolkRcF7oAhZYzl35kTTdrNgaY2gkuqi+BeHaHpIm2xjc koT2mdMyzkL5iq7dobYYFTknWYIdMwJ36jdxbJXRw2gNzB5DLvsNOzPu6cpMToKRgD78+cL3qnHZ qNjxJuY7z65JQs3QFG0lLTBo6AymhCKlCAVCZNMrqI9+bdfK5fqNTDulQ7uGZOEmsIk7ttwuFvYF aY2N3B273B0za1fA+KCx8xLdkm9SeNOhac77ENDzyd4uyXYRG/qCQweiT4NafMQnX5Lq29B1pVXS JFvowLKJtsvIWZNls1lH/j3Dp269MhWOainHXbzB1BjykCvDTWbJN2pW2Creosy0jg/tWftK+83K Le1cLheRt7Az3Wy3RvQJMqdTvr6P5lpqXPzHT9ptPCkx5VCW/PTCTApqDR+c3okEnJDpzJMPZCQq JBUa6CMnK8+iMLA02k6HRY9Pj6/vv/Pb2boMjIHY7/nlkhiytOwhv7SPxpvfaGnjNyKFlag0+PTH o2JO6eXt3ajyHIwPkEBwQ224dM24nIXLDe7LqRXQY1YlvZDgTPHyPZtwJmB7oncc6ZHeU/Z0+e+D scTOoyoJ3tXAJOSJgBmPoE9gGIFF7ENsvAiRwch8ocagCCLfpytrqGZUGPlmYqLZLDAFoVFKtPDU HAU+RORtUhQNWeuZfo3KM07xoscRhlrHRHgauSkWSx8mWCNrSK2V8QthcIWk/dbD6TOY82pZuFp4 svNqdKBEBOXi3yL0JsjV6OqsKOtO/kCGWicVGufJejwPiE7TggjRers5pg/+oKbW1c7oaJaFuBJM EsGTFeWd+7GEu9k3cbLDmeIZhPNEEs4DkID9TIHmk15xzUmewctW/MDBzGv8st5sw9guUeQ4dIoE QXEPJhXOwixW+LWmqoK3wjbbZYwvlJEoO4eLIL5KAvtihd3WOsHGYDYMDCYCGQQa2zDCmf6m5thp A0iTKnGA4+fpV1gevRdh2gVt5CH/inVmROfdcORLgE8QJAy41rlkG+iBztPk9U24QBpnw+VvZ6lx KGfud8eiHPbJcV9gbeWLKlgvltdmTZEggy8woS4Yji3nPDtfduaBPeLEOl7gd8hI4+f8RgpgbMM1 Vj5gNpurxXtzkMxtFIvmWv1dtIoDt+dgZg1WYeliNGYbG5Et2hnahCs09/FIwBfbMoiRKRCILVIb IMIYrQ1Q6wi7ujWK2FddvPFUF283HsSqR4piNI2Wa2y1imUMQxxul9dOi9G9zV2ybRcvosits+34 CRgjbeH3h86QzLtJXS1Iv/Ltdqs/ozyfs7CnjXxr4uawfg7/R9mVNDeOK+m/4tNEd8xMFAlwPcyB IimZbZJikRQtv4tCz6XqcoTLqvHypnt+/SABLlgSrJpDu1r5JbEmElsic5BD2AnSeNQqDqHEU5Hz O1tvYy9PRmcIWei5yp2CguDjY2GpXIdgLaxyKFanMhDYgNgCUBcvauW6IXYFInHExHPwj/sQv9dR OVysSAwIiDXV8KephljT3PYuXtKOrqfYpeo94AwcwfVLDRaJbPNUIgzwtCetCjRXjtnOtOes4a58 rWz9sUH7Dlz1NoPNuFvwpOxPUrQncDO6ksfE1nQHs4pZF2DeQ7hJINJk8zGMRi/8O3g2ZQLwHP/o YzXchi7b52AOcWSOiGx3+Nc+DX3cvl9wVKlLw4jCshBLYFf6btThXrIkHuJY3qGMHGzJlpi1ZmRU /G+L28BFJ+a5ITdVkldIA2+qJj9iaRZwLmxZQs88fRSaaf6Rqu9PBZWtg1qXYEIB/o6TXY4VQkwq +AJX5QktQbAUrhjLnQNos/JVA+pQUuYgLiK4HCBIM3DAs30RoJpIQPh2YRZLtuojazoZGAInQHLm iIvMARyQ4wPIQIz0PKNTN6RIK4N3GzHysZIHARp7U+HAZIoDmDMiDqhrN7WM8dpgqdKGOnhh+9Tm g2vmaDpCo5/1VhsyFYCd5M59XgUUlYUqXP8Mm+MYFektRkX6tqwibJRUEUWpaG4R2vJltdrqDMbG SxWjGcc+oZ4F8JAZRgBIaZs0Cik+7gDyVgdV3afi8LDolKPZGU97NoCQCgAQhugExiC2H7e9kR95 TDMig2efpqcmsvpcWCq5jfwYF9em2qCRTudv78HXWG1Wr2UrlE3etg9Noa+m5xkcua2YsU3fYZf3 M87WbEhXMjI+ahlA/1pPL0VkZjSqRJYrVc7UHDKkcrY68BykvxlAXAcd0QwK4BhnrXxVl3phhddt xGLMaFRl2lBcJXZ934Wr81xXVUGASitbBrkkyiIX84CwMHVhRCL0e1b7iKxry6JOiLM2QQDDEV/F 1AklP0m+T0PsFmeGb6sUm2P6qmFbJwsdEQFOR9uAIZq/QJRldevHGHwXla+hSIIowJ/mjRy9S7AN 19BHhCL0+4iGId3hQORmOBBbAYIqAQ6tzXWcARmdgg6KCaxSLEmXYeSjEaBUnqDGqxmQ8HZrQ3IZ 4tNDohRjJE0RSdGOn3h4/Ctw8IOVdWLKq7zd5TW4zBgP90Xk91MFzmaNNG3L+gkH/7M8VlbfFk2H lXwKSb3bD6yEeXO6Lzrc3gz7YgvbRh7+ZqUQ8gc8OBL3+oQV5peTVEpr9BCHN0m9439wGC9Ilg/b Nv88ca521EG4UsHqUVWW8887upJ0u0/vuOPgRdAmBIKAGtSqv5OIo3u298szmIq9flfcpnAwgcOI ou6p5xwRnvnmbJ1v8VGDZSXCFr1ez18er9/RTMbCT4GKkOZYeNLqVHcrLQYMXasMzCl2kK0IFo+Y ZkmnLi14oCls7BerhQejprXeBtzD0gXAX/kwaxO25cAq/fNqCac65+9vHy9/romAjWUqg3yjpong 54/zM2t4rPPHj7nteA+KVi689TtJ6cPr+rU2v7tNsgR2fQd+bLfGir3NnbLpNkz7dl2x0R7Hd2jI rLRKZHaJrP4SUXt59GQkcYXDlg3HO/mVCydPYdRkI30ZqITuVwqsRcngRD10BifWGHFMeFcl6Smt aguq2W8KTL/yXZ7wff14eeTRmYzYIJPC2yKBLbbZ6A5s1+DuHYEDToDldVFTceHl5md6aknSkyg0 fenKLPB26dApThCAzmrox458acGppsUaT0S7ZVxo462oUqoK3lqiMXx49YpUWTHy+sFRLMV3lvAR P6kllsO2mcFXCwi0gCA0atCUK1eggTXmHdu5UKPJxavoU2lxyMLrn0LIZK25RqJ6i8wBfq2n0Y4s h1Y77BUAYfq2w6UHjAgbo32ByjLFXxKA+7pCfiMIhE61UIN8RYyExvI2g3N87gKCxhJhILdeTKu9 EkMVAN1+EWhR1FSR42BEXy8XJ9ssYIQsHl3PV++NdIYwDPCoSDOsi4egqmaKCz3GL7RnhshbZYhi Bzv9mVHiG4UZr4wNYqQR+0A7dJqo8UoD5fWWuDaHDsBR98fcNjDbvD+ohcDsASaaxevtDOtqmqdX gVW3LfvZHlImahe/nCasXA11nadryrUrvDDQHVQJAOKAiYGhD3jsDIrTKx89j+HY3UPE5Fi5MEg2 R98xdb8+3cDTsBZ10sAZHrpUiWbCaD2EZ6PUPzJNkyaZVvzZulihgZ2FXiGWTlkdrGVrkrJCg/qA ZbDryJYF3FZY8W4oKGoEYp4np0eWsHozA3omPJWZ20mjCUeBTdAma2etJQ0bZ5mKzZ0MY7qPYnIw GsJo0jZRNYsfntYIJYdMHTYMCBxvddlwX7okpOgSpqyoT+0abHGwZmuqyhzEfVgGwRG3O+R4GtAo PGKL2gmO6XGj1X8yJZdo2uMLviLRbfclojl6084LS+LpFbivfNfBDkMnUBcNbrEeIrTIoHmOobMZ lbpH6zH7xOI7K2smyWZeVgj9vRe5NjEX/r/Khvu/0dQahzjQGcjWGE/3aRZTz5bPaNiq9Ykgmn2y 7KW0DyYrm5McV6PlttXNItuyiwrbwn7+ON/BYYr6WnMm2mO0zxzb4pgzMdyXvbh9NhjALdAhES7P DkorLzxwIsQPhGQupDhsebTDdZbCMy63kATAHjQKMCswiSfzaRxZvq/ZP9jjYYll2u9gn6/YN0tc fCeymom525Ewc88jdai2sVAReXuhIMS1NCjHMO0uSUhS+9THM+VYJN+VLpi+OFqQoivZTma9FxlP QEI3wVKGKT90rQjaCNwoE21vQPDazcsIE+lT6kexDQrCAINg8e9HNogv++2Yb+lBWFkHHnYxpPEE tsRhgW+FiG/PNkajF2k86m2bDuLGfnrdLesnnQ29KNGYIgcVD4ERvG/GrbK60FHxUL7fVqEoxnNs oshHJQiQ4GhpNbY5+sl4nXdVBtJsiqRDgTSJPR//ZtkemdjAhr4lK4Aii8hyEF3ySjz3FZYuPwBt m+rWCsKTdyt46DanQfHbtDDI1/VS6Aem9PuifsBrYn+MKPH0nuIISUbUjZ+MVAOuDDpSNQmeHECd i0N+FYUBOsp1M2IJWTZ5Jlbu2ALTwYvIV16b/V71XaAzDG2+3Ry2dobm3vI1XxGehkp2wyjhrNRO gE4cDIomB3s4GOLu5xYutiHy3cAS/Vxh43vGVckAJmIZq2JfSFDpwDabGur+Ugkt72ENJmLJyfoU YuEx9wsKxlb8q5/zUVsmm2KzUdKwHoOk4wnJ0m5Aqfd9sVX8wlQ5OBEDDF5KKc5TeBK3IZUtF4HG XSSdEmVRA3TLE02e9uhzv/Mb/auux82bBVZZ+g9Qw0eOUqWlOsv+RgbYir/sLR54JsZN1g7c5V2X l3mqHLKO7hu+PJ2nLcn73z9kJ5hjwyYVj0Snt61ARSCqUz/YGMAtF4QOt3O0ScajmaBgl7U2aHL/ YMP5mzW5DWc/B0aVpaZ4vL4iEdeGIsv3J8X/4tg6e24Ur/jkzYaNuQU0Ex/fSn+5XL3y6eXjr5vr D9gfvum5Dl4pie9CU3erEh16PWe93hQ6nGSD2EjKMiUgsXusiprPn/Uux87PBGt/qOXq8jxvSeBp pCqvCPtPbTWObO/rfZZrhWMTCNyoItQMbuV2FgA6oNjJTY01qdLBs89Fo8H1PoWutPc4U26fDyBk oqWFE4Dny/ntAu3Gpevb+Z37rLlwTzdfzCK0l//+uLy93yTiiYTsBFC+irYWnTNlT38+vZ+fb/rB rBIIY6UFZABajT6v5dzJkQlK0vRw3OIG6mfZQ53AtRoXFNyFL2fLwVtnxzROwRRtue869gd/5Ars hzLHnsGOlUeqJ+suw1ih5wFRJ6dTqs5gyKISZKk4/3j/UEa+Nj76e7bfw2a4CeaG5WaKn84v5+fr n1B4i1a5zY/FAfzIsTY1RuwI7ttirw+NU3XcmOM466nr+xY9r5bp07e///n69EUtmpZceiR+hFrq CbxLktCVLZcVsjp+JIgrC7kTly6Gm/9EuEhTbGVATpIhdNF1DoCbQ7bLe23JsAD6ABjZE8wHO8dJ yjRVmR/TfaP7m8Rw6wkdMDclm4KJnkTT41aSAsMPwvnYBcsTS05ZtmmLTH1+ItNPVVfkNZjDWfuU D5I7tl7oVcMuMVFPqsE+FAZ97E0Km2ids9CROY7T2fyxl802FkTR/WZ6VVKWe316nD/EZhOiCqve xagYe4GFfBoGHeEzX9/IOXvlsogR5iKdOaDTZJuD60nssH3UA1UzrtL0PNMky+tUb/GJfEq7grTH NbQ/IhpGuIA9DU3BpuCiY1XAPAkgzCmTnIN67TNyVYHHGi1N0UvaiYf6PmfBvqeBfyq6Ansnpxdk k0+lNhOyvkQce/f2NOwP5mdDgYXUGkfTMSHhX3ojC4eibE+hCzdbVNR5l3Rsf3DQoaTyaMi2y83W 6FIR6qzojBWhMAtKO2NmERe4CNAzqmqMJ9NPlut6EOZ5xSdk2aoLDZEfUVjs/3xAcDtQhqJ97ZVi 3W+kPXVUhYjPULB/rR3IviEV9lHKFrF4Y0A15WIY0/EUFvrmtzlW9O/yrCelA1Gms35QNdNInCNB 65sb2dJRkM4vj0/Pz+fXvw2D2I8vT1e2HXq8ggen/7j58Xp9vLy9XV/fuEfG709/aRPxpOX55a99 FsiS0FMj/cxAHKG+IEY8TwLP9ZFu4ghqTzPqwa6h2gnFqNE6Sh38fHpi8KnlWebCUFKC7dXHspUD JU5SpIQii7JDlrDVEHbELvD7KtJeTy109CnhKIINCbuqMTR4t68fTpt+exLYYtP8S13N+7rNupnR 7Hw2ywW+7v5izET5ctnjyqnpe1J44oxsVRmZIiqaAYFjX4kDHnmI4I0AHLxYP970kfxydCb6xkTP iIFBvOscxTvkKJdlFLAyBwbAFwuuUXVBNnqVX1SFHtIkE7JatX5ofNdD5nMOqHFCTY7QsTzhm7Y/ JFrpk/4+juU3RBLVaEOgmm0yNEcqXltLIgVCe1ZkWhcu3pShucSBXY2neHDUhFTK5fKyMgxC/JWy hMtPSiXRDnGJD1FuivU6B9CLsgX35UsEhQyygqUZ0yjGrWVGjrtIM+LQReG2i4jjoLpBa1CpkZ++ M2X0rwsY7N9ANAWktQ9NFngOde1KWHCMSkPJ0kx+mfs+CZbHK+Nh2hBMNKYSGEov9MltZ6hUawri pUHW3rx/vFxe9WRhuVMlR+KOqn96dqDxi0n86e3xwubvl8sVgodcnn9I6Zk9EFL0Nfaoj3wSxsg0 abP5Gavfc5/Vma4HpoWHvYCihOfvl9cz++aFzTdmwKVRuJq+qOFktzRGbNph5NvC9wOkJhVrVbs6 4rCh5oHqRxg19PAs0IvPGaY8C/Mz6mP2EgLeDw5JTO23H0jgoVTfqAZQzemUUw3dwqghlq4feMZk tR8CzXJh4Q7XZg/OsLa4AgY01ssEh8R3sYzDELULn2G0zcLAVL2QFMYbIRP/fogDD22HOPDtAsHg kCJytB9cGvlri9OhCwKCO2kYx3MfV47lwa3EgYZxW3DXnCoYuXEoRu4dB+kRAFx3bZ3AOAYHtXqQ cGpcdwAZKV/XOtRpUmr0XL3f1447QXoZ/Gpf2o+vmEaOSeieFDfu484zS9KKIEkKwF6t9g/fq83i +3dBYpzZcKqxVmJUL0935lLfv/M3yVYnp6mx9c37KL+L5IkGV8lcW5eMhj1YnFYJfrSyD0vuQort ZrL7OFzRygAHhv5l1MgJT0NayUVXyid21M/nt2/WeSVr3MA3GhXsjQNDeBg18AI5NzVtMak3hTkL TxO4jk3pj/eS4/WZaNePt/fr96f/vcDRN5/1jesozj/a/S9llTG2pXYjoipnDY/wycrgktfKZhay qZ6GxpHqJUWB88QPA/QFgsEV4jlUPVGflGmY3I0GRm0FYygJgp+UizG5quc4Gf3cu46LT38y2zEl DsF8SqhMvuNYe/GYQuDJnxX2WLI0/M7SGhwNzatygaae10XyPk1BYaUq+1syxcONcHSbsunCIjoc IyuYpThjjpYvczVGp5ooW+VZG7mKorYL2MfY7aiS/yGJtUlQHa7E9dHHVhJT0ccutQh1G4lwZXgp jyV13BY7AVVks3Izl7WhZ2kljm9YZRX/9phKknXV2+UmGzY329fryzv7ZD5I5Fbub+9sU35+/XLz 29v5ne0Hnt4vv998lVjHYsAhZtdvnCiWFrAjMXDVQSDIgxM7mNObGZWXzSMxcF3nL4zqqkQYF7J2 4bQoyjoqXJ9g9XvksWv+/eb98so2fe8Qq9ta06w93qmpT/o0JVmmFbBQhxkvSx1FnmwNvRDn4jHS f3a/0uzpkXiu3licKNuo8Rx66mqZ/qNknUMDjBgbfebfuvh57dRnRLbJnnrfwXufxNhBqNTRRj87 seMYrR45ETW7wnGiwGQlgSYnQ965x1j/fhzLmWpFuUCiwc1cWfpHvaZMrYD4W2oqUgqQrnNDrD/1 NmGipYt537GJSeNjco90AoTGSVxstlxaMXRlcexvfvuV0dE1bO1g9jlQse3dWD0SmkUUZHwDMksk ug8aR6k2Fku2D45cTFw8o+fqYx/g8/M4lHxkKFGf6ulkxQZav8IP4WQO+90T4wiBw1ZRARs2QYwe O/rRnVl1bBnDrTO2seMa9clTdyVJGKY0wN8Iix7NCJsJMSfZM+y5uvVd25ckooZ4CLKt+7ni1fTR PzKXTbRgzrTPZMlOR/1vlWnQFJE+rkT7qT7dJDp2Yrdov3DKP+k7ln19fX3/dpOwHdzT4/nl0931 9XJ+uemX4fYp5RNU1g9qIXWhJQ76wgnQfeurnrQmoks1Wd6kbCulq+Byl/WUOkeU6uuNMNIDPEKA 4GAdZJ1OYGg72mIiOUQ+IRjtZFypjvTBKzWlCQkjC4aAPwYRDoe67NeVXWz2Pxt30YrqAL1LnE7J TZ3p/+3/VYQ+BZ8X2GrCo3Nct8noTkrw5vry/Pe4IvzUlKUuTIxkmxz4PMiqyWYIY1RKoLpHFRvt PJ3sHqcd+M3X66tY7hirLBofH/7Q5K3e3BJT2oAa20Wt3jQWN3szbNMj8N7NM+Wbk1fSFLhNB8AG 3lCt5a6LdiV2cjqj+nSf9Bu2sKWmYgoCX1spF0fiO/6gZ8p3SMQurjALUKOot/v20FHs6oZ/06X7 nhg2a7d5qRm6CZG7fv9+feG+t16/nh8vN7/lte8Q4v6+GlB9mi+c2FypNvilhm3HI/xnXa/PbxCY konl5fn64+bl8j92TZsdqurhtM3RfGwmGjyR3ev5x7enxzfUSHOXnJIWe7wuAuyCryRXWarIdG5G cp+gwxZCUxfNYTBf6mdqbCkxJzHacva23I5JZHFK93r+frn558fXr6yHMv2wbss6qMrAf/YiiYzG n3w8yCTp/4u24hHB2bY2U77KZPcS7Pdmv+9hWkaeMkC+WzCqKcs2T00g3TcPLI/EAIoq2eWbsjA/ afPh1BTHvASfnafNQ69WqXvo8OwAQLMDQM5u7g4oOOuhYlef8prt7TFPiFOOii0ltFG+zds2z06y 9xxgZnKlnH9vwSwc3OzkagIQ9KssdrdqJYAPBm+jWGAxAOIzQ/n7gnskNEXi2xRkGDl7hpYt2laP 4bugTYWv/OHDMboo3jZM1tUOfNjkLVF2czLVEK0FUZ5kMCRpNc79FENBLl3SFSXrONwFEi9f12Pn UQzabVTBYr/BDO+/PInWDC3Rctw3ec2Ds1uExc00R1MwDIeCiZeWkCBafEEs+PToxABwAWqLQc8I SNYb6gm3h9KaOOb8rG0dorZpfACMsQN10qliIzmvi0OllXmCH7q++HzAfeksbJjt+IJqHl2gPkmW o35PQaL6B1d1UDwTf94EjM8iFlTVEtQYCV0yaKEPZqJdRkY8SdO8VFMrOv33iaq7/olqiRrG4KHA dxQgg/meadTCUqy7h1bVijTbHg3CXGw5YQ5Y6zvs99l+7ypJDX0UELV5+7bI8rrX9Mmd8rup1G9S NuP+H2VX1ty4raz/ius8JVU3NyK10Q95gEBKYszNJCXL88KaeBTHNTO2y+PUqdxff7sBkMTSoJyH OKP+Gg0QS2Ptbjl9GtpPUtFpZt4lR9KhpsEjo1sbku/yaGkuagWx7aDl6rLyKJLqxIw9NaYJLL3a 7DsZXq/LrMfdWAk5+cZU9D6r6837MO91skOXv3YtpJu8253axZJcuqLudAI64RTJIksPKjcq9lhP YJgWZe4f5bCNC0l3YjiP1iWLm32SWKsB69IPSfnaNOLF1//4np1cWJLrLeme9vPD129Pj3+9w+YR 6r23h3RslACD2ZM1DdrxpaajYMT699rEdw2Kxhbg4DdtHOrXsyNSmdFUR0C5tJjMVjyyv8uSmJI8 Or6koCha+aE1Cbn+FUYM75TneggcC7omkSpaLk/050/En9NKxIq4JA2MRx7XNYD2sY4DnRHzmEpr JTxC7a6zihK8iVeB7qlEy7LmJ14UFKS8K/2mXVVd6MS9DFjNot9x22iCXqbu43yw5uQvzz9evsFq 9OnH67fP/b7MtxGDfzZl5nGZF5N4v6USm0OFG4oFtDHotO0WrxEo8f1Gdbqg2pAtdyUpwdlljmma 8lAY5hHiw/dp7GqLvRFVLo3HEJptnRS71nD/CXjN7ojqODhilKvlvl2a1/MDHkhhGZx9PvKzRZvo zkcFjdeHk5W/JHZb6iZVwJWhfwXpAFuzzPrKJLtJC5PG9+iBxM6P71P4Ra2vBFoedqy208DOC/bo 3jTiRtfK+76CtX1jEqGyd2VRG77iR1onIuga+SZ5468ZdCdQ5k6STzeJr6C7JN+ktd2w2zq3KBka ux4aW/QRlu9ZTHtaQBwyFr5ePLnf3Ce2xDuW0S7EZHbJXVMWKbdKd1/3Du81aoo2cxapdfL7nW1I ZYxYe5cWe1bYSW6SooG9ckuu85Eh45Z7RkFMYlsQ7E/KI6WwBVjuUne89FT8UWlqfKCbPQbJ9SHf ZEnF4tDqOAbX7noxm8LvYB2U2V3PGhGwas+hk1DKVDJkuBwzPyhn95Ybb6TWiRwEFm/K67Ipt60z GGEHn9TeTp4fsjYV/dCUV7SpSSjrNrmxhcOEje7aYQRQ5miCI2lZdl84eqwCtYIzoCdVxvDcAXqz pRPQClKE5DAtfTWyXwNUdQqLMFNew1L5WQZNeE6xiGhnidFCLHKbsNwhQW8A7Z84KgHEVhkZ0Uk0 rBmRUoxedAPFGs+OUIjMWd3+Xt5PyG3TY2kLBj3SWIajJr6HUUxHUUT4gBNhVzW0ybfQVWmaly29 tkD8lBa5b3h/SmCDlpkataf5m/fTfQyToz0uZGSYbn/YkHS5cVS/nLk2qxpy7UFN5/KqC7bQ5jpj jLxhQVrkD9jCOalUMaS3cWDAApFloUXIQ+48vmq2EmjslQ+AHYBqBTSegFNpetDIoV/7NJuu3PO0 w2NS2BPLM129KpFDHWHTS02fQ22Yz9uU3xDtXSR3OGloygF/yW2boeMHaic0KSFKYxG6ENSSHklO wJsaF/QFrFC6/R2GNC52yXC9Dhzumk4kY6ADMqc4wmkwtaMf0ZBKtCLtMQXazHm40Hf98qPKDcwq 3e1BP3LVkZrdOhmhP76lxwOUYPDso2Qp0SH2wsoMifp2TRGXMzNimCLbu0SnbEs3laJPFg15VnO7 igxXf4Kie7U1ukAcSv+NZtZqU+7LdfTPaCYrmokaFnELfBJbztABmyOxzfjyOvCEJJRlUb48JznQ aeZU1xR3rmaqsrWs56xRIW6///j29Pz1p+DnK1AGV/VuI3BI8/fzF+Ag9OnVT+M09LM1rjY4D+dO QfLsBK3nKz06CnZrTfhlh/GQ0xG5JJPjhF2Q08p8sCPbrvez7FSIfJOPFqDty9vDX5baGOqsfXt6 fHRVSQsaaGds+3VyZzmhNrAS9Na+bN1vV3jekuEwdJZ9AouMTcJaTxb6pQidCa9o7/cGE+OwVEnJ w3yDT7n3paA+aplYBohKfXp9x3dFP67eZc2Ova44v//59O0drR5env98erz6CRvg/fPb4/n9Z30S Nqu6ZgV6pKHut8xP7j2c0HJg6Uwe5BtMRdJKb2Q+GXhY4e+4fb0eYm+Fta12UY1XAxjkKIW53DgJ YEFwD7Mgw3sj6lynP+T4/PXvV6xNcbbz4/V8fvhLMx+tEnZz0DZmitDhYpllehEH5B72F1Csom3Y FFqZscBNvCqzjA7sZjEe4qqlHu6ZbJui8RUlTnib3Uygyan1FzSGtB8o5k1yX5GRtg2uTBbEIwM3 ihdFNNVNeZgob3uq6stSxFGhvsL0dJM+dQp/i3TDCu3gZaTJCIA5o0EWx2qAXoA7CW5pPrwwQbdL +qdrcN7uOXUsUqOnpvqkO2oWvpvSOzKXujWdxVgQrEk9WsZmhBo56to/gX1QB0sYdHvX8Frf+QjI eU6CVIsnS3aM3+MjDL2OBGRdjcvc0M2O/jGCevK4/apbblorIgEj966iIHKRflWvkfa8LaFsJLG/ tvnP2/vD7D9jkZAF4BY2K+QoQ9wbtACw4ojvFNSsAoSrp/49lzZZIyPs2bZDzRniBQLF8+SArk/R C0+fCW4ZMSNnd9Ezy4AFJzsb4UJ1s1l+Sjwb9JEpKT+R/tsHhpNHvooEOZE2boK54d3doHccOveh vqdx04BdQ1Zr0u+7YnC85is6hqM3bCs0wHJBrwN6eCkDuKbzMMOYaEAfIctC6mbJ50bMAAWkTRaE MyITCYTeJCGRywnoxIeIuOOGk2cdMELDGcjci3gBcwM01MsiaCN6NzJ0stt5SG3/h8HihBoaqtYN YtVDDWywr2f0iVrPs83nAe1dupcP48IKbDEiy4h+NasnJm+Ce4Ykn89CoivVR6BHZK6A+PxuDyxR NJvWB82SuhYf0BjG7eA0FI2GvcoJNFeH81MzOppFftz9uEqNGOfzkLR60HpVKP0WkRURXvOp1PVJ WV8pB7if32GH+n1a0/K8bEhVFVIDG+iGIxudviRGCSq2CCNm52l279N8Ef1iyGChH4hrLOvwspj1 IprqnMgRRYRGEUkJ1RQ34WK2IOh2QBmNvqKHbnsTrFtGHRCNWiVqzWiEOjKf+jBkWF6TSZt8FS6m h9fmdhF5LLmGjlctucftRc+CvXdaJ2LQBPJVzsAAy++a+or+vYezcXt5/gX35xdGJWvy63A1XTjl tHKq96Q7+4h1ULpN1m3bHBaTTL9jHRoBfeCTrSOc4x/FksxfK/rrq0HPVtdzIxJS3wr1IqDo462+ naCFKZOYhoTPSpJ8SslPmVoablv414ya7Zo2r0hxMnzM5IqJz0PqU2UsSUqoLwbAkGl5YmYQgAFp w7XH28rIYkfgdBjWK2r9I/YaZM2Yp+nDWGzjILg+OWNB3HtIByMXxkP/+o56HoNxf3ETos0ZI831 aK9hRzrUMnC45gcMdtgctuGd9I8sLiaKJOuau7TV73NxF5oUO8NMAWlDfDWZTisswzgNDPTeLtYD YrNTigm5Keb3T4u16aBAbHtZEJxImxsE1bgYU9wNwokkcpzaW3LUF7dYMdR9YJN2RtHTHN80cYso b9eApgcDUNSy6pjBfTM3U+d8C/tcs0z4uLGiy4RQa7NDxy2pIycMe2zxFptqq+qISFDxvVm6KnMq TMa2sdK7aH6gNIYI427koG6drB4h1EM461i1sfOXUDAT9UpkgfEyzSzEqLbFnNIsLU7dp/viFp+S +qq7ven2jdlgQOK3Bkm8uITiWJQ99oku3+UtBWjd/058ve3D/a6vE71/C0Y6TDygiS0XCciuyW22 om9pWk65XrbbWXSFpNsw8r2J9EdsNFovCK9qreZM7aJBsUoZn2FkEc7N67JpNubSQw6lzGqhQaPx b0/n53dKo9lZqmMRR6F1NUtHQ+ecbQ5bLaTEWCModpt63joeVEIKkxBMasdE2XXRKk2E9zBPxhS1 SbItFr9xkH3CKg9VnFQlhgsp6+uGKjucRu/gigYKvc64/nItXqCOVhddegsphPx21Jms4Wna0S91 gBpq5a9YLaL8VKzQ7SLEzx78bWaR6xKb5bflmKsE5CU7ru0atiOjLclv7DZZV5oPu3SEjqmlcTjP AsxyEBkftyk6065vt1oFI9H8Bb0lhdo2na8jnVYBElJv0500LN+QXkT1ROjs/JTE7LRDRVMnjf42 3+RkeXxCw6ueySpgz7bhOQYTgH8JRrKWRIrcOtMcUXGS7vWujrAZqVNSMNI66aA+rvTZe8uPRsMf K8FBlwQtSB25ylXpw9vLj5c/36/2/7ye3345Xj2KEDfEI55LrH3RdnVyb8T6g4GXxMaKR1K8J84D LO8zhSJJPyXdzea3cLaIJthydtI5Z06WedrwiUZRXGnDXKf0Cqt4ttbPNzRyuKDJK5Ks23WP5Eh3 4qOTSSGR7sVrIOdzqigsrzL49rQM0fZRv1M0GCoezlfT+GpO4tB7rQjCOkCdSvUtyPjM/eqYNcEq d2sa6LNIFcDpUZhmKqMmmrnVjqk89NXCfPjSI20YeU4zNA7Sd6aOu40kyEuavPYUhPSr2uM5LGxZ S6TcZkvPfrRvbtS9aRmEHXXmpDGlaV12wYrII8XemIazG/rWSXHx1QlPRshgfmrUVnxF9ej4Ngg3 DrkApO1gsb2kOqNC6UtxnccyZvPxBCv6JenIlrFNxbHDTvHBqGXUOmOEYxZQXREQ2uxuxA/6/NxX Kb73u50TAptlODGERPAkj2qMwuVSRV+yGwr+3DHYmMfljshS4AxFB76TfJeTNg0k+MiuqTOsaIe9 LueKPE9y+ELDK64Lh6SWHBnmgecc1OVcTmshjfPkeR83cGbYdKtwNjXaJdP6pD8mNLEoWFEDVWDX ATFxjpg7lWEIRMCCdUBXmELJN4gOE9XXR5RydWszrdwpQmFdTAwxY8K1gpIRUy69Nibm3mlRaejx P+3wkZd8vU4uYffKtU8jZlqYha0yu7PT3OeirOe4L8ROP5hNDa0dLNr2Vewqlny7Oi2oiYdXUsNN rQVuNyWrY9N1hAJ/r33VfINvwA6FFcrVqrwNJharB0fygPmQ2F1YSSSXiZzZU4Hx5PSSJx5/tAOO FUJNpaulfhur00+uEkD6akbT1zRdzo7UrFGI2YYaWRLJCaRu42VIKYtmNTWr5alucDrmAvsxmHjp WZen7PJOAqZEtw/gPEnIFNNnQ+11+74n/288EiJ0zdTCnl5NO1RYrBinUFZzeaqKItflQTmQsT9X nAtRh60t22kuZ1JY3Px4//z49PzoRMN6eDh/O7+9fD8P8Sd7Sw4Tkdwytif6gFLu0h5enkGck3aK T5fUw388/fLl6e388C5iiegy1RexuF3P9Q2cIgx+QsycL8lVITpePz8A2zNGrvV80pDbem36SL+c WLmVw9wH73LNP8/vf51/PBm15eURTMX5/b8vb1/Fl/3zf+e3/7lKv7+ev4iMOVnU5fXcCAnzQQmq P7xD/4CU57fHf65E22OvSbl+HMriZB0trSly6DY+AfLh2/nHyzd81X+xD13iHAyYiM7d14X0H7HU hrMaGZ1lRKyiqwirQZqKTpMiO8Znj9Ulv+H71AmaiU7F+pzka/L/zU/LX1e/rn+NlBO05u8/fF78 MbWMV6idbylgjQjZANNZmDmoq+84ccIo4hE9Eb2j/1CRxnNkJ8I04A01dUUjvLEdYyIm5qeyZvRx q4ryY98bKz3y5e3l6YupfCRp6ATo9A3+U+/Exy/d3rXtvQj/3JYYsh0PmJvfVgsX57DIUfA8HA7p mm5b7Rj6WdO/5lCkzX3TVIy8l8NTRFDeVVkkhX6kL4DCPE0VNPHxPkmWkyR1bChcv9UlbX7Z8+zJ CJA96lhjDIAnqvWIlxWac0zI7g24nbSWcwQHP6abGk2rJmTLmL/QVnvtOqMHTbuPnmq4MBvKaLph 6ckH5rFB7BlYzffUbcM2TbIYGSxzDCgntMQcFnZ4d0Z9mOOjp6d0VVoZw4jvoc2T4fiddhuXJ1nG ivJE+rEZuMoM1pOnMlhT75326JeE63YK8AO+C9vesM/oGbuqTmA4mKvDHBSPFCJnlm8vD191iy90 pVif/zy/nXGa+gLz4aMe5j3l+oUeZtJUUWBEuPugSK0CM3HlS/XdscDEe1wTvF5ESxLbp6vl8kRC Dc9TD1B5gHQ5XwReaOmFFvZer8c2eRBFnu1Nz8Njnqxn9lnQgAo3qR2nXExobOKdVpac5ONOShBy NMyz8eyZ7PjxGiSjGnuEN2FeNYHnyAfwrAlmYSSCssUprew0aY6NAsUE2uQSS3kqGD1i9d6VV2Hn hKE1So82cGXhkYStzNIbmOo8gdgFB8/DdRB08bGa5InIx5AK7VZz8/WXTu92rCWvZBXPTVkwsl3T qi45JZXf7wqPn8yeZV+TtycKLZrK1CaSGLrEpjZpNXS2DXq+8QxU0O7LYMWPc2tTaeDXnr6KU4Pn yaTFtb4wcoFnfR3xo3tuqqmnkDwFFJe34kmUvow+bLRUukgNsgtPKB1YxeguF/ITd6YWufLOCVpB 0CqCdjtshJ8fz89PD1fNC//hPtaGfUFSpFCAXW/SO8rSMXywpkfPs7FwufGD64mEkQc7mZE2TMjy +9+DLT9gBZBbBLIaRhFtis9HuGwiZ8XtTKtik9Gev6K4sTJ1tYU7IMv7iw634XrmuebTeaxbXRPq NnFlWHS5HGm+u8Dxe7WDbY1k8pUU2PLtjm89l+42a35R2lFmeVH3K+6ksLkp3tV6ZR+PmaCcRj4o CW2Rp75D8Ox48qHPEMyiXj6U9WSrCY6jiEt/sXzQah/NE+O+zthlici2+RcfDfwB+5f8/1J++C/l hx+Vv6bs/Cye67W3na7Xw1jwMgxN7SsD8BCjxc8rx4onS/UOnM4LwS5p9x+qHMG8T7cfZ4bB94GP ANZrf+GvVfmmOGShvF8ZBXPamsfi8sSrcbiI75pgls39QeaP6VzJOtHPBMPxgrqIgjXlP8Xi0cNq OdCgXicyAS6pVz+S16XBIXkqXLjUycUVo8Xvvf8m+Fmc/SvphecJpcPutvAU84frbWxsP8uknojc xw8mSPZ63xmEsVjS1lPqBaA8p/j+7eURlmevyrTwh2dVhWe3dbIzHlM7DLkRRdyBJ9Fo456nTBdU O2hqWlbDXz4P5qIQ3t2Z0FX+/ah6Wz7d2KPPvXEfMucrNC8YuaiLsmV1RIsC40BqEJGc7ouy6ebh cjYtRjEuTDkmuDSlEPjqQjmWi8BXDpc1/FiRWZ2vFtPZYvdu5AEP6eRIsQGD7e4DDTwuF1myhRca CpkWc09J5dnWNj16jmJwIyhMCZqS45k9XQ60ULlQVpGR525D0DvOD9o2+VCkx24bYEi4RkFjfodi OUs7hvXPqefKPUOAh2qW2AGoSWi/8uS2XwWr6ewgqStzIXJzs0qJbFbAOw/8mUSAh3MiIQLz+XTC aN7SKffTCY9zqv4jfPoc2gktjnoxm+K4xlJNcqAMT+E0FdbiSyipjofEylTpeCmttGXSTt7vmiot spKbHlcHqrjeI4ur8aDB0iUeHDPUFYHGoSwoe6RJ8u6grF21+a95+fvt4eyeyQjPZF2pBXyXlKou dbeEUAlNzbs0MtzqAzU5tgR1k8UEFSXkxosYdc5p+0frDyltujJfHshDjQ1WyxIiaxVNGKvNBMO2 bfN6BqPQYVEM6anCCc/Jfbi09SWESYDFrJuvZ92psj9KrARWrlT0Wl14RZZ3mS2ojp0Kk5rFES01 y77xCZe3yE4yaUU9UYNFxfN1X0PUiGIxLAWTrm25XVJlvW6TVa8pYDzFKS5lDA2j0HhzwnJVNc9p HdFHa/IWDM05nc8tYIzViTfNTYLOiorETYhT4U7cpEKPm6guVXxl4z3FUqWw2oMu5r2XQCZQcLQ7 FoVLA9KsImowrxrq9J7Vqp2MfdFI7VaLTUpf2EKXR8/rG5ZNjQqlbJoq0h1QAHBc58LELjU1LGtz NErz5SnQhvLJJaGWb9QXE3Wgllk5p4X3lSgXwvaVU69ClIsEqxeLy6eurohOhjav/h4ilkwT8F5V IM/pQg8MMHBIlyvKrrSEvmEoiD5d6xlRydB09PtVWVk4wxE1jc8RWZuSkSv6Dn/SIxBEc1Q7eW24 1hmopjWNjVfk1K6msxyd0rbuNAf0tjKKLr8WARFRr50c0Q3GU6Gf77CWQ/cNKDU6aA91weCqFQlA AUqyk/cMZWM+c0HX82J+gpxhxE5spK1VwqAeWZpt9FBl4t2VpLizIALUEFQ+CwxB0r674uiu1RiU uASoYu4TJnUZpNHelgjz8Ty+tbKQK+a82VnlFWPLFj+gomAon6pntBuFv0fd2FHQ2OhPqT5/f3k/ v769PBBeixL0va4uWx1ax61HLH27HqsDKBHgoGawVjxm0M8TiBLIkr1+//FIFKqCOtLKgz+FJe7/ s/Yky40juf6Kok8zEd0xIrUf+pAiKYltUqKZlKyqi0Jtq8uKZ1t+thzTNV8/QCYXIAm6ul+8i2UC yH0DMrGwQTbQtXRbYFFNPRjYdOey9M/v5NbgENCZMyHTaZR25KNT2dTJkljzVXEB8F6xLrGgp/+h v79fT8+9zUsveDy//hPdYd6f/zjf90JH0be8q9EXwU2VvQsK1HpHlepLqLkNUnrLo6Ja5HKPInW8 XogqavYCqiahgy9Vx9bT6G441Wy2J4PF3Qv3OMm8mlDo9WZDRrrEZL4yaVsIqZbtytCtcuZhooOo SVdj9SKv1tz87XJ8uL88d7UOyWFjQR0JaU9BrHWbSOsoZmo1h/fZvxZvp9P7/fHp1Lu9vMW3rZIr FeEfkNbKq59V3by1i5O3ldK+xoO88uefXTmW0sxtupTPshK/zuQIUULmJvfoxYSJT87Xk63S/OP8 hO6c64XTdsYfFxH13o2fpsEAwOimCfOdbbHbeR4tjcn1r8OmUn+9cGtZTi6LhUVbnif8hIG9WWXO qQPTOlfBgl2PIjxDF693uZIUtsqN0nlzQGjr7p2HdXbra1py+3F8gjnqznx6mOEZctBsj7FwPZcN pAw2ScQj0OCyMG+HOzOY2zTuwMA+vHJA7m5e7eMdp0Gd5lDFYHNTZr7U4SVSu75k6LZE4XfBWuuu XbDkW3K6UYhjQDeXkttmJxewiujvRdqOvujA4AgrY0BTNZnMZkz9gCAkI0Gari9lN5mJhYi0nSXL TwyEYCw/hlIK+WWNUkiKLATvd1Suw4UKoRA1vAhe9dtZ2zijn6YbToR0BvGj3uhwaEgIpFdUgg7E 8RtGnghWXkc951KX19z+Mid3h+Y8dsMzVc8cendgjgOrdw3IJWbKpCUi65I9K/Qh3IBkIjKjJU0d LQSOkm3GzhGsauULa7dJCowY3E00+BER0d3bmtsoy7hUnMn+/HR+aR/F5c4hYWt37H+JCa3Kxk6J dos8qlXyys/e8gKELxfOA5TIw3KzK2PDHjbrMErVWuaiKT1s7qjfrtaBGIGSUqJBglY76oKLoNFl vM5U0IHOlNaxScvaEwrMa55WA1+aAhhK+eYJRVhCxS+40vIKVMiipmq6+hDtZE/w0b4ImkgX0Z/X +8tL6SaQ1J8RHxQIvb+pgL1fGsRCq9mQajCWcG51UQJTtR8MuAVng+kIIlMSZMV65I3a5djDElga 46BGyDkvprPJQH77K0l0OhqJXlZKPPo3E9sDCFhk8HfAlWGBDdjkksuvmGYCHwcb9FSCHYK5COau CBm89tbYcMsNHkNQbdZ623G9A4Q3i3hhyHn+ZcwPEJWkytp/WUiEJk2L1BSvcZHWJD6vrb4rPfF3 VBLwYuZNLc20r2a3YOhaLadwnwyGo4745QZLnayXAG43NE+VR+c+fA/7rW83TQDz2A0DT6GcPlQ+ LSJUA+oKAkY9D/tjFzBzANT9K4ljZ4sbhLwrgfkrEWof6w4c+up28Dd7Hc6cT96Wm33w243X98gD XBoMfOrPKU0V8CCjFsA1ekNwl5I84KbDkbSgATMbjbwD97xYQl0AreU+gIEcMcDYp9XUxc10QHWV ETBXI2ab9H8wrq6n36Q/8/IRnZATf+ax73F/7H4f4gUcYehHT4HAyl6ZgWA2E69E7cWICsnI2XsN lapR6DuYfeb3923YdFrC2OWpseVAhHT9jfoSfc9NFqoZLo1lJqfCR7Ikx/OJVWG1d2J6V9eVci5o W+s02YaFcGHmUcwBFoE/nHgOgJqDGQBVk4XjzmMhEdCCbEwXdhpkgyFXVa0U6o2743G/oyWUajRB 5cw9q20arQ9fPbdhIJ2i5qjT9Wu1ncj+x/BNledg/IMuv+QbN5OaJ9cqd6rc8PXGPXlHi4xrcjfX 0u/sQoepWc1ytoSoq2ijgBH0p55UtEFq2LHIYCIsBTZm71apuEuGfWDJU7kZgB4j2kxkmq5U99i3 avh33Sos3i4v11708kCtW2DTziMdqDLiOs+TpCivi1+fgIN3jspVGgz9kVy3JsFfdq5AdyDPjSz4 9/wsBI+n5/M9ek8wzrd57kWigNVYlYedeFmLFNHXTRPJtT6OozE/2PGbH2ZBoKfOFqNu3alYc+V6 0u+T9a6DcNCvjiGyDBAqcyQW5xqzY8Vjo5Khl05kQZ3pgXw+7r5OZ3u5293+tN7Nzw+Vd3N0uxBc np8vLzwSfclQWDaP21A56IZ7awLEivnTGZzqMovKcLt2cII2tGT0KasSlJGRiccIRm1fU3RWlV23 q5FyW0iHF+KVknHlIJd+Qew8hil9tCtQPuxHfeoACb4HdDbC93DItJMBMpoNxDkejpjVMn7Pxg6L qYdD6iQwHfsDqr0Fh9OI+1CE0wkN3j7bdEWX7IVxWTkaTTw6Mp/2Sj3SDx/Pz9/LmwgWItnF2cCZ b6f//Ti93H+vHav8B+ODhqH+V5Yk1fOYfV9eotuS4/Xy9q/w/H59O//+gY5jaBmf0tmAMI/H99Mv CZCdHnrJ5fLa+weU88/eH3U93kk9aN5/N2WV7gctZPPt2/e3y/v95fUEg+EslXm69MZsq8NvPkEW e6V9YM5kmMuakwVv+IGB9FCWZttBn8rzJcDNrFxMNiOUNyTmrVgOKgtXZ0q1G253tNPx6fpI9o0K +nbt5cfrqZdeXs5X90BZRMNhX7rJxnuNvkclvxLis21Oyp4gaY1sfT6ezw/n63cyaE1lUn/gSabY 4aqgfOQqRK56zwB+v0MeXG3TOHSCeK4K7fvSXeuq2Pr0zjaeMAkJv302Jq3mlMa5sNAxjO/z6fj+ 8XZ6PgFH8gHdw+Zo7MzRuJmjjabkfqOnk37XAXqT7sekvvF6d4iDdOiPuZFtA3V2dcDAHB2bOcqu cShCnLyJTsehlk/cT5pvuic5f3u8tletCn+DURtw/kOF273XF625VTJggw7fsGRokI4s1DNmrW4g M9rtSk8GPi9yvvImHcGhEdXxvhHACeF1hDtDnBjGCxADGnkOvsfjEavNMvNV1hcFFouCJvf7zPt3 fKvHPsiciehQrTredeLP+tTNJsf4BGMgHg0CSC9cEt2xU4JcLMniv2nl+fRaIc/y/shnrU6KfCRa Uic7GPNhoNm2NBz2nY0KIcwVwXqjPNiLJf3eDP1SklWUQfX8fglrWIDY83jEKIYaSlnr4mYwoFMU Fs52F2t/JID40iwCPRhSl9AGQG/vquEqYHBYxEEDmDqAyYTJ3QAajgZSB2/1yJv61KF/sE7K/m24 bQMT3WbsotTIhCQDA6HeAnbJmN0xfoUxgC5nDBTfJKwSwfHby+lqb5qE7eNmOpuwe3h105/NRLfb 5dVkqpaEqSdAPhYAGXgdxwtSR8UmjYooZ7eOaRoMRv6QezSwe6cpoevgr4YVBNTRdDhoj3eJ4FWs kHk6YGc2h/M0X1SqVgp+9GjADjWxn+0IfDxdz69Ppz9PrmSSbvcsC0pYnon3T+eXrsGjAtU6SOK1 0KOExl6nH/JNodBJDBOJpHJoTdHT5MG8p9U36lWo+d4v6H/v5QH49ZcT0+CBdKu8VNS1wl7HXT5q pOf5NivkK/1KM5xlJZF8QlCgRzP0TtaRHuPtSiKp3MryRH4BRs5EpTy+fPt4gv9fL+9n42uyNVbm eBkesk3Xvh9sdYE6ncZObYWXlCKb8FcKZRz/6+UKnMS5efho5D+f7owhOvBnDp5R2ht2+BJHuQ/O QYkFBgxskmzfzBJkgcX2dFRTbAIMwJXxvkmazbyWe+SOnG1qK6O9nd6RxxL56XnWH/dTydZ8nmY+ vwzCb0eETlawb5MFGGZ6wH1vs8M+0tJ+tsroHVEcZF4pVTQDkCWe1/VoBUjYe+krhR7xS2Xz7WzY ABtMhJ23q5LFaEhrucr8/pjk9zVTwL+NWwDXZWtrMBp29wWdetIxosccQ5bDevnz/IyCBS6Ph/O7 vTZsr0XkzEacU0niUOVGe++wEx+M5p5Pr0KymOqQ5At0EMvjXOh80ZfdiOv9DKaEdIztZywOJGZB OEpkIAZWlqp5gtEg6e/bXfppR/z/emK1h8Hp+RWvRDoWldn9+gr29yiVlN/IkkAKMimT/aw/9pjT OgsTRYMiBa6fTDnzTZ5bCtjnKddqvv2QbfhCSyrydal623zCqpG1ExEXh5LWBWJsiMWC+l1FME6q bMPt2BFebDaSlp9JEuWLFnmu1hrdlUqcZhodbGghMz7w2Zu/nR++CRofSFoAmz6kUxBgC3UTsfSX 49uDlDxGahD9RpS6pV/S8MdAjco20rX5HVHMgg97XnOQEz4NQfVDYxvMncyVUDT2dIBRDnwV7WAD bUevZ/jKoE9uySG8C9wcbYjKzgxX8XwnjSbi4tRpdZzuvRaEeqAvQaUNEQXaeHtLF2xXLwcm2WBG OW0LC7zpfn/QQdFC8DixFqh1G+IGDWjggsdSQlPF96Ug1IeOdeZmV72MdnZ3FqhZV8Bsg9/LakSI Iw4BgdsT34CQiinOGkhp61ZkW7e+1cNpR14tjUYDTPxpkCWhA83y0M3dsM5dWTc2mRSKZrscZPTR HFAcBarV9wBd5bJ1okHfJa0UdzAlI1nhD/G7GH3VFfI2bAiMXTBFW9kqv+3dP55fSaC2igVMDgsW prkcGlgewQGSZXxHqNH5rRhCukTnX5VnaBiTUA6TyVt+ltbDKQqhuaQpSL39AYVUq9VUd2cOadBh dbaKQW5ScRiJdnuwVQChLiImNSF0XVQibAkt9Rsx32CTzuO1uJ2DHLZeGvczAfoxpioUFJNy5+cp erzOHW3HSoB1B7OuZqaCm/LEa24kMWoJrDQMrCXyYeZxFdJugoI+slpXmIFg9mExqlhNeAR4C95r ry+G0TZoY/IzHLXT2cOnO11tDCSBy8d+F4sOjl0Y6ry0S08ULCpp0pVou9e7ebXDrDdg6xXroHL5 5LSUqFDyCVo0NWcU1vZhQ88WgsgcnRSDIXv2J0WbN+OuUq16cjtrs4OmmTeSfaiVRG23NBxfBnxn wNpNZ7tQ9Aci36lbnyGVS9fPHbRWVKWHVytirb5gPIF3o/Dd7JhlZHvH73oDNL4GQRResRclRJTm rxVaOhaAqrSKQz3bFVvIlScOQPiH7vS2EUhFzqjS9/pYhOMKwh1MqLKJDh6v1xtTakeJwCIc/Oka WDcdB24ONfIHGdh6saRpmg1cX/FtAiy0I99cGRtVIWuruBWtTf6S7YYhqpS4QvO177dyqQgw+HRn LStvBjjuXSEOzPQo/RlgR7WmTum8y+1ETlRYtTEPJG4srnOKNITDkpBPCV3Eq2F/0p4rlkcCMHwE HGW4Im82PGT+lmNCNbXT2W2USsejIR5AYST7RkTXPdUR5M54qsuG4QG6BtHy+TdRlM4VjEWaOvXm +FaLazFBSMqiq7M7CbZz1EnQ9iKgHuziMImghN8iKkOETFRJqUZ8aqN3cUBCTSBzatQMjWGXCfht RceFPtzlseiZ3BDdAKNUHHgkcZs6VRW4FZOk4ijXYb6JQ5F1ceOVhIocquudtT6kn67wa4GGH4uZ pWKD2ASbQhIfLEUltkVo3y/kUOE/ywO1b00pZCBA/IoWW00UrK315aIsphqfasdwiGs4y9UWhxu/ U1zZN2Y1YiQM1pCayTVlyDc2Jv1uMYaNoqu/apP2qqpOar3eaeiuZSZxvTnGw9BZ080Vt2l1XltZ Gg8Qrfqy8nJhdiD/B//mKq0m5Oqud3073pv7UlfWsZ5Vmg98fy42h7nSlC1vEOhepOCIcJumXzhI b7Z5EBlDj00SibgV7LXFPOKBde3OUqzEhSI0o0nZwT+BzFL1AvwrGbdRcD3MGPcQ2Ll9VNvuk7c5 wRR7izrAy8nMJzIwArmxEEJKB2PSm1+rGhnM8YxJ0DqW3Y0kccrihSPALjbu6sA8tMH/a7a7Uihu F+6IUNw0lUT3NtW6O3vrkF8uwdR5o2HPkbUGGHHJHIgcrIkv6dTBvDAGaz5962dDAVE9OTIUnK3R bUT3uQ09EmyIp8pFSvUWxS89rWLi+enUs8chvTVV+BJRRAc4jjKVa9qIaI+XunTrryCHuXXrlxHc IoaDFMHspQJtJ9Hi9EsHHvKK1gFIQuUTsQQ+qGSpGW4HjD7XFquB7RD1As18G8OKW8P8Xq5Vsc0j 6b1podebIl6QrSZ0AbEFmGtkUkHl0t1uN4VyPjH8lmGNzVxZWIPPhjfLAVwS3ql8Ha/lNlmKVpsr 7CItDjv28GRBkhRgsgoK6qlkW2wWenigU8DCLKjpWegAAEmKO9DjCTB1NIsGBjJfGOe4tuCHZiiR qOROwWmw2CTJRo7cRVLF6zCS77cJURpBgzcZ42lLa4L7RxogD4YKyPU2w+lPZ2KgglXE56EBSbOw tjAweVvx9v308XDp/QFLs1mZZA5sArlXrV+kVZyEeURWzU2Ur2lHO4yb/WkGr+KU25WoV2+sA7Nw 0flclLIxx/h5y8jkJvZzZJZvF/a3xUL7cuO287iqowPB2M1oYG385ma5QJB8ZZ4ravjXJJZF2IZC F/Kdr6VQuDNXM+CTSh/2qiikmuko2JabVqtV22IVrYs4UHwTDICn4uvMQoDTlTSbgclz+s1CMD4e GtF+wXQuEtlLCs10wUwU7TdM54UCJuVwg26j5l9A/PjV6/vDfpsswcPEDE+kWd1LEhihGi3N7Ipq +Hkmw1UgZuNSTof+XygOB5+Wx7GdCLe5VTfJNW6RfVZvViMpgVzFugY/PZz+eDpeTz+1CB0WuYRz b2cl0PL0zR54t8lvuraDIMpWXYs9iMWFHmxCxc8WZ/7it/PMakmqbdelO8AaY/ZU60Szj6Z/zu+X 6XQ0+8X7iQhVCVrNhFGGji2GA8krACOZDCY89wbDlRwZbjqSLkEdEv+T5PJDoUP0w8pPx/3uMkS/ Mg6J39H26XjwScaSGYND8knXjaWI4A7JrKNeMxpLm2NG3V0x69BI40TD2V8Yk0lX22O9wbl4mHbU z/OpwYqL8jhK6SCO3eZUJXQNa4V3xrQCD2TwsKuY7hlaUXSNY4WfdGXd3dF1G2VRjpH8aCSoMhvC bzbx9JALsK1bz1QFeLR2xBauKIII5A/pyrwhAKlgS6ND15h8A3yCWguYL3mcJPz6v8ItVZTE8qNs TZJHHToKFUUM1e7yhVPTrLcd/ohZ78RKemisSEAku2FRaBGxLRZkgYQJu3CDz08kv+06xhUj3SRs Dne3lBtmYrK11Dzdf7yhctvlFdVeiViAPq9pJfAb5JXbLWovmzNKPuKjXMdwgIKABylA0FuK6o75 FmjCqpCKq7ZScQOnhR/CFcjkUa5aQTkrgaBkQg9hGmnzelfkccCjaJQk4om9AOYX5V17p8aSoZJ3 YAThFHraersTcqgYyaYmij7H6/TXn56OLw9o9vgz/nm4/Pvl5+/H5yN8HR9ezy8/vx//OEGG54ef zy/X0zccmZ9/f/3jJztYN6e3l9NT7/H49nAyGputQVsGwSFLtksU/6GPQeCNVB0XOD09X96+984v Z7SNOv/nWBtkVvMFL+XxSfjmsN50hGIVS2ipmv2AfP4ljxZCB35CDRIyu3uDmprLkwSExarfeZBJ S7GAhc8JiItFsT8qdHdv15bM7uJphBuYxpuq34O376/XS+/+8nbqXd56j6enV2Nsy4jxHkixuKcU 7LfhkQpFYJtU3wRxtmKu9jminWSl6AZFgG3SnN54NTCRkMgQTsU7a6K6Kn+TZW3qmyxr54DyQ5sU 9mm1FPIt4TyenUV1KFTyhKglp+ZJZJ6xdCv75cLzp+k2aSHW20QGtqtufoTRN6J2IFQcq9Jd8drD lb22+fj96Xz/y/+cvvfuzcT99nZ8ffzemq+5Vq0ahO1JE1G33TUsXAm1BLCWdQFrgtyhcOZzKo0a 7MW7yB+NPMZd2dfFj+sj2jPcgzD50IteTIPR+uPf5+tjT72/X+7PBhUer8dWDwRB2h5eARas4LRU fj/bJF/QBFCoo4qWsYaJ8Unbott4J/TkSsFOt6sGb25M6p8vD/SCr6rGvD0SwWLehhXtRREIMzkK 2mmT/K4F2whlZFJl9kIhcPCjU12py0Jgs4ptRzTwsoroTrA16qvj+2NXH6WqXa+VBNxLLdhZysrg 5vR+bZeQBwNfGAgEtwvZixvxPFE3kd/uVQtvdyJkXnj9MF60p6uYP5mozhYXDgWYQBfDvIwS/G0f A2nIzM6r+b1SngT0R2MJPPKEc26lBm1gOhAmD3AXUTTfiM9dluIus0XYE/z8+sgeKetl+9/Kju4p bh/3r3T6dDdzPw442tIHHhKvd9clX8QJu/CSoXSP7vQHdPiY6Z9/ku0ksiMH7qVlJdnxpyzJkjUd bIB5T4QOc1NuloqdTIuYPPHST16SS1B8Eo6zJbqJJB0dCThltGfXTPOX5v8oD5uOr6wrWUwL6Hy6 VJpNyQ6Bg48jYAf98f43hjPt6bM4Q8uNcXLKf3wTuYOenrCh732RaUONCXYCRbNl37ga5PjH+w/F 6/333VP/hgnX0qTQqhMVJyUt6tS8HNbyGMd2ws5YHGzbuYk3REHmkinF5LvfVNPIWqI/VHU1waL4 49JecJIRot5s2EDYy57xFg6k3NhRJCzzS+6EGGhQLH5Xo2RhJLcyRTMy671EROHOPSVOZfy/99+f bkCneHp8fdk/MAdMplKea9RiDbVeSkMRY+QE13uEztG88RW7p9kKLGr2G0PpcDQNkpW5pnQcB0J4 fwKBlInP/n+d7Uf0uPJqmuvLbA2M+DYlipxU6w23g+UlKq4bVfAe/YRsrZZF9+Xrp22kmgGP+2C+ qv6ZbI4RAVp/mmpOpqEmm9aoWkQpmJkcsQ030SNaM8twxCpGXhqxVsFgx7iv+/jwZEZrQNILMT1L HDyuPg8EkdYjznGUxM9FyRNxLPGtIuu3O4av++bJtstkcQYyDUuE2RoiC0Plq0YK3iKAeOudGp1/ m4aHX3LJUm6FjI2McQ3Xkrfr0mnOs3KlRLfacnGd3veO29jHev/cUmgjwYH4Ml8ZLbD2k6HGqcyZ blbkMVd9oq/yXKLV0hg8m6uK3gOOyKpNM0ej2zRK1lQ5T7P9dPi1ExLNnXgvLyfOUdW50KfopnOJ WKwjpOjr5kp+QddOjRc4PNa8fwGFRzi6KmE6IWkdqdCRaTl6DNgDFl90+q/R1J9Nwuzn/d2DjSy+ /bm7/bV/uCOOmOYKl1qZa88xa4rXZx/JXanDy21TJ3SgeKtzWSyS+urNr8GhLM4zpZt3UBj5Av/i mlXLy9IOjiHhHXHeMVzubYCYxJKpAp+INZ4w1D0gCbzcUgXKFOb5IyusD1cBPasQ1VW3rMs8cCSj JMCaIthCNl3bKP+FJ1HWC/aCCVZsLruizVMvG429M6DxW0M4jVCYzo36zOsGuJl93oXsKhQ40A9M 5NVWrFfG16+WnkItOiFAfvZAR599iqkaLjrVtJ1f6j+BGQsAsM6yZdSMZwiAJcj06pQpajH8+wmO JKk3wfoOKGLJPwHLXnsD/CRoCndrD7LT1CIiyFVYaAKB5bgoczIgIwr9oFAo9zXDaytnBlDqqeND F5KDn7DU1FHHp+ZqiTjiGDBHv71GMB1EC+m2p3waTIc2cSAVtz8cgUo+nzDVJmw8+Ihs1rCxmHIa 2PzM11LxLexTEPkxdr5bXauKRaSAOGYx2TVN3kAQ2+vphjcXRuizS1aUTViXlZ71hULxYvI0goLv zaDo/k8FWcaJxlxUwJdAh0nqOiGH4RrDn0svGMGC0Duv83gVwr3UFRg+4zkuF9gghGKkU59EizI1 V4UN1+njjP0KoR9ZYtyr1sY4wNSgZdNW068joCiLviCmAKh8LGrdgReUB+50gMF+pDAfIEnVJPhW rzI7t4T6gjL8rEz9XwwDKTLfv3FYNE2ZK0EfDxbZddckNJdIfYFaJPliXingPKQ5Kvd+l2qBOYvg AK/J5C/LomF8cRF6+oeuJgNCf2XohheAoDHYJVPhLBVlZ3N8KrLIzV3vQlZlE8CsAALHLOYSOSS3 +5jenHNuKNNvyYpKNA1KOHSMyYNDgcQRDrdl2DbeSptZ3Uhy25Xo4gh3ZLkYI0qGu9peEDTQ30/7 h5df9t2e+90zc18urMcgHOerDGSYbLig/BKluGiVbM5Ohml2ou6khhMqt+VpiRK7rOsiyfnHyKKN HYyh+793f73s750E92xIby38adq1ZQ1fMu71xpuVejPUqsIk7NguNrurTBZWa6UJ9NYAxTQzqoAV Qhe626ewCFEizZXOk4ayuhBj2tSVRebFONhaliWGMy3bQrjYCIUPFR6nTCsvYTsVGATksRRSywZ9 BzApjnCvgPSi8XuH0gy8Me3ub/sVtth9f727Q28A9fD88vSKL8vS4KVkZbM21zSV5AgcPBGs/n52 +OdoHAJKZ19NYH1MTA81M3Zur+C/MwXN/bShyzGwZ6ae0AfEUbWppg5awtgGLLRLocqF59weh+IK iKD0Wi29llnwQl1217Lm4pstQVvA2gUel1In4L4NZRbCJGgKdGW8a6798cSoBN+CYeEYXDC5eHQO J0O947ox7o6gbmLiAf8RAlsd4s3xxik9WLbcFH4GcQOtSqXLaHiNrRo4N2xQ9uE8NLC6bgIzdq5E QfEeE11x9jxpkUnS0lqsUVQySFmAXLyWgnfQs9Vc8he9FlmYjNx4mvKuYW5OTAIx4xk0Wb7nCS6I qY3YYtE3HI+zogQq1ahr4I2LxeC/7/sTjdMbDMTavipjb4eR6EP5+Pv5Xx/wlfrX35YJrW8e7p7p ujBJ3mGzeHKVB8Ywt1aeHflIDOko2+aMHN66XDaot6KkJhuYdDZ/h0V1a3wpoEn0OWWulncNqOEj R1RGgJ3WYGqknBCaNjEfi9K6TpFqNxdwcMDxsSj50KP5EbXOjsDtf7wii6dbcHTnYtDhSsMen0tZ BXvKmlLQ92JkGv94/r1/QH8MaND968vuzw7+2L3cHhwc/JNYWTDW0NS9MgLTIPrRSKnLIbiQ3QSm DhTuo0sfFYe2kVtqyHGrErqC5UP4SB6MwGZjcZ2GM6JK/Phi/6MbbeMoPKhpbCCqI2xBw0AdAK0O +uzoUwg2Yqx22M8h1jKVpsYcXZbk6xyJEXUt3cnkQ6oWLSg/IPXJtq/teNoh2/hgpKzaAOME62WG ebmZtbeiTl7mmJgZONizGNLZDUJ1vzuGWYnbibRYTsv3Qvn/sXb97gNTW2YJjWE1g2vGdoQZmQ9m HY5oDSopsH5ryGEOFHsgTXaX3d+/7NH84+bl5gOeybdo0iQM0w2p0oxgU02tpf5WmDsmTdSrAgGY pTEHKQgoSZOgdRKDo+EomuFTkX6EXxU1jFXRqOAlfeuCIFpOlAhmuJfpRduZfFUMPLamEIeet2M5 TlnACvy5RpC8mEQ3mSYYl+xuZTYeyOaq9N4L9bs04TwXTrKvjUwfk1gG7cE0i6jzPhbaUK0jNJYx 5CbyHYYA7c0BCb4WhcvZUIKYVVDfNUMhXEFby4i0dQuf5yIwwv5tY7jtnOArWR6HtqDoFrp5ug9O vl4cLjYYU1w7pdH0h72aHgi97M6YRNdippsu6hnudmpcVYHRxZfY24U8+3h/c/vz3z+w6X/Bn0+P B/rj2KTB4OeTvz7cOg+ig58fxzXmDwK1HjS75xdkfig1CEyhfHO3I/EQrSc32hds3GM3IdjfYxYm t3ZyOJxZSb67cM9v0GZg3qT/ZtVoOsKFbPCSkSVlx9zKb0Nd3BVkb9E7FyV1N7VyMEi/AHZLmD4L 5FPjr/6GGicnqVEN0QEBGhLqNke7oGdPsEjQgRNQ5jrj/3H4B/M/EGGwhi2FVz04aLhv0Isq1hu8 tgHRP+RuDsTy6LkFQc5cPNNA0dPYgkUpTF+4k9sefqmyE+TpDIHh6n9hGSgcGA4CAA== --===============7567691204082902999==--