From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1752514AbbKAQF4 (ORCPT ); Sun, 1 Nov 2015 11:05:56 -0500 Received: from mga11.intel.com ([192.55.52.93]:37216 "EHLO mga11.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1751200AbbKAQFx (ORCPT ); Sun, 1 Nov 2015 11:05:53 -0500 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.20,229,1444719600"; d="gz'50?scan'50,208,50";a="840527572" Date: Mon, 2 Nov 2015 00:05:26 +0800 From: kbuild test robot To: Stephen Rothwell Cc: kbuild-all@01.org, Andrew Morton , Jens Axboe , linux-next@vger.kernel.org, linux-kernel@vger.kernel.org, Mel Gorman , Dan Williams Subject: Re: linux-next: manual merge of the akpm-current tree with the block tree Message-ID: <201511020018.0nqlBQpz%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="envbJBWh7q8WU6mo" Content-Disposition: inline In-Reply-To: <20151102025125.0f335513@canb.auug.org.au> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --envbJBWh7q8WU6mo Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Stephen, [auto build test ERROR on block/for-next -- if it's inappropriate base, please suggest rules for selecting the more suitable base] url: https://github.com/0day-ci/linux/commits/Stephen-Rothwell/linux-next-manual-merge-of-the-akpm-current-tree-with-the-block-tree/20151101-235406 config: x86_64-randconfig-x019-201544 (attached as .config) reproduce: # save the attached .config to linux build tree make ARCH=x86_64 All errors (new ones prefixed by >>): block/blk-core.c: In function 'blk_queue_enter': >> block/blk-core.c:641:8: error: implicit declaration of function 'gfpflags_allow_blocking' [-Werror=implicit-function-declaration] if (!gfpflags_allow_blocking(gfp)) ^ In file included from include/linux/linkage.h:4:0, from include/linux/kernel.h:6, from block/blk-core.c:14: block/blk-core.c: In function 'generic_make_request': >> block/blk-core.c:2041:33: error: '__GFP_RECLAIM' undeclared (first use in this function) if (likely(blk_queue_enter(q, __GFP_RECLAIM) == 0)) { ^ include/linux/compiler.h:165:40: note: in definition of macro 'likely' # define likely(x) __builtin_expect(!!(x), 1) ^ block/blk-core.c:2041:33: note: each undeclared identifier is reported only once for each function it appears in if (likely(blk_queue_enter(q, __GFP_RECLAIM) == 0)) { ^ include/linux/compiler.h:165:40: note: in definition of macro 'likely' # define likely(x) __builtin_expect(!!(x), 1) ^ cc1: some warnings being treated as errors vim +/gfpflags_allow_blocking +641 block/blk-core.c 635 while (true) { 636 int ret; 637 638 if (percpu_ref_tryget_live(&q->q_usage_counter)) 639 return 0; 640 > 641 if (!gfpflags_allow_blocking(gfp)) 642 return -EBUSY; 643 644 ret = wait_event_interruptible(q->mq_freeze_wq, --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --envbJBWh7q8WU6mo Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICH02NlYAAy5jb25maWcAlFxdd9s20r7vr+BJ34vdizS266bp2eMLkAQlVCTBEKBk+YZH sZXGp/7ISnY3+fc7A/ADAIfqvr1oq5kBiI/BzDODgX/84ceIvb48P+5e7m93Dw/foz/2T/vD 7mV/F32+f9j/K0plVEod8VTon0A4v396/fbu24f37fvL6PKnn386e3u4vYxW+8PT/iFKnp8+ 3//xCu3vn59++PGHRJaZWIBoLPTV9/7ntWnt/R5/iFLpukm0kGWb8kSmvB6ZFa+zlq95qRUI ap63TZnImo8SstFVo9tM1gXTV2/2D5/fX76F4b59f/mml2F1soS+M/vz6s3ucPsFp/Tu1gz/ 2E2vvdt/tpShZS6TVcqrVjVVJWtnSkqzZKVrlvApb8nWvM2Z5mWy1ZJoXBTN+KPkPG3TgrUF q7BbzQOeWhh2zsuFXo68BS95LZI2bhYksa05jEHAUCqJS1erqdhyw8Vi6Yys3ihetNfJcsHS tGX5QtZCL4tpy4TlIq5hsLCuOduOAmatl0y1SdWYIVxTPJYsYYlECasnbniwdIrrpsKtN32w mrNgRXoWL2L4lYla6TZZNuVqRq5iC06L2RGJmNclMxpYSaVEnPNARDWq4mU6x96wUrfLBr5S FbBhS1aTEmbxWG4kdR6PIjcSVgI2+ecLp1kDJ9A0nozFqJNqZaVFAcuXwtGAtRTlYk4y5agQ uAwsB5UOT2ariipcE6sZbZLlbKGu3rz9jNbi7XH31/7u7eHuPvIJx5Bw9y0g3IaED8Hv34Lf 52ch4fwNPbumqmXMHfXOxHXLWZ1v4XdbcEd9q4VmsH1wmNY8V1eXPX0wDqCUCszIu4f7T+8e n+9eH/bHd//XlKzgqMycKf7up8BGiPpju5G1o1VxI/IU9oa3/Np+T9nzDxbyx2hhDO5DdNy/ vH4dbSZsoG55uYbJ4SgKMKA/X/TMpAbFaxNZVAKU780b6KbnWFqrudLR/TF6en7Bnh0DxvI1 HH5QbmxHkEHTtAyO4AoOBBjbxY2oaE4MnAuald8UjOZc38y1mPl+foNeY5irMypiqsHIwlY4 LLdVyL++OcWFIZ5mXxIjAq1iTQ6WQSqNKnT15h9Pz0/7fzrbpzaMmovaqrWonIPaEfC/ic7d 6YFJAnUvPja84eQQre7AMZD1tmUaHNeS+GK2ZGVqDNvQsFEcjDzZpzFORC9m88zpNBI4WrA4 vebDSYmOr5+O348v+8dR83ufggfJHOWpu0GWWsrNlINmGSwfSjiYAsRTWTBRUjQw+GCGYZDb aXeFEn5XAeNUt8bK+hyAJQnYZ70EJ5Z6BlpVrFbc/1aCcEPJBtqAw9DJMpWhSXdFUqYZ3XgN 3jlF55wz9HnbJCfW1Bio9bhFoYfH/iz0Osls41qyNIEPnRYrYIVY+ntDyhUSzXhqwY/RFX3/ uD8cKXXRIlm14DBBH5yuStkub9AaFrJ0lRiIAAOETEVC6KttJQLFt9SsyfO5Jo65AjcJrkGZ 5TQYywwfYMc7vTv+Gb3APKLd0110fNm9HKPd7e3z69PL/dMf44TWotYW6iSJbEpt9WQYjZmv zyaGRXSCy+t2hAppNp3uaJCLVYrnMOFgNkBUk0KaqRWiVeVyzdTrpIkUsW01Bx+aNO6I4Ce4 SNgfypaoQNh8EZsQstgRjCbPRw0Y/CNg32vdIlZfBSsb8uxxJbrvx24kOTUDMHa8jaWkJmLg QBuL8sIx6GLVRSPuBq16mw6rTzpz7CwDSygyfXX+q0vHrS/Ytcsf0IOxyg3EWRaLAPZO7dGc w4tlAwFHzHJWJlNUaaBsjOYJumlKDFsAzLZZ3qhZqAoByPnFB+e0znzApw8OlJc48tTZ1UUt m0p5m2lI1gjTftAKZLCXN7w+JVKJVJ3ip3wtkhlnW4HX1Cdbg8jsqQIvnZwcPQbEp/hmc+lT na86IUKzoFWyMnEi2jLtRdiIXMBbJdxb7gbVhJ4n4hSfNQKKGjgOHBep97vk2v4e8ZHRMkSo k6GPMluVYYxT1TwBD0JPH0PRLXU4YVlgPw38rh0NM79ZAR1bn+qA5zoNgDEQAjwMFB8GA8FF v4Yvg99OhiRJhugOjVIQJQ8gsD9rJaB4UcrUDYKsEBinhFcmtO1tl2sUqkRVq7qtcqYxg+KE MFU2/rAm2slfwJkUuJneTkFMW4CJbjtEcWKr/kYCh02I9IgbyGpbODPtKa2HY6oatNkLyhw7 w/Os9fNI8ysBMZ/BAk582YDbcDqrpMtVYlGyPHN0yUADQximaUBRNnNSq+zE/NXSRrQjFheS EGPpWsDAu378ows7Z+yq//1hIUT7sRH1yllh+GLM6lq4qTmTfEldo2w1aszYBWk8+Gy7LvoE hIEKXRax2h8+Px8ed0+3+4j/tX8CnMQAMSWIlAAEjhiC7LxLbkw/0SOjwjZpDeixGM0Lnxm4 s3pFLXXOYk/F84YOh1QuZxhbpXlhkHoL4bbIRGLyTNS61zITuecNV/yaJ72eDn1KK0nhFLMD Pd/JkXaUtiyEVUYvPrbpE3L8vzdFBUFEzOnD2pxoasZiEsFwLuFIoBlPEFPOjZtnsDoCN6op /RYBqsBdRkwFABawKgTQgQoKWDBEJTC4MCu7ClNFllpzTTLABtMNLBWikDajzKoZpmEspVwF TEzmQhheh50iHRGpWDSyIWIuBVuBkUoXTRKoDJzgFrw1xnbGEJu8evCVmi/AUJapzWB3C9yy SgRySU6OuxJhmGt4yw0cIc4shAh4hbiGnRzZyowhEDLQALahqUuIsDQcFNfWhJYFFZniEh33 dqHuJpw2RagvZv1GTQ8zoSiCB0exDJalqDA7Hi6Wpdq02gwvlY2XOB4/rXiCZqiFI6onswYk YAaOyswTQGae9QqZFLQLZWB9S36yF1zHJmczGHkiDXomyZjUTmAagLns+bjVO9LT0HXmyJWY WOFdOh4z3pScSdWDoyA1QclMtykMy0kPFTJtcjjwaHoQOyCaJIbIr8HaIRbDdBUu0kSXlG0O B1AW05uPRFbb7nhDTDUkExaJXL/9tDvu76I/rcf8enj+fP9gswjDzqBYl5CkAEE/ACPWewQL mXyj3Rsca5CWHJdzxjuKMnNRrAZoCJvt2ksDnxT65KuzYDXdD1uSDcDhGDEKmXQyTYn8cG+6 pgSzS3OrSQtVJ0MK3F+GXkDQsVjHxkNb0w6t1xeTOMjBBzSOqim8FCxYshSlowCxH5D3cUms FiQxF/GUjvd8i1q4mmvCviI1d20m5Vj3WlXtDi/3eG8b6e9f90dXk0BQCxM0AIyEWJyT26FS qUZRBxlmgiKbCXaAqx8DQFd1+2WP9ywuzhPSxn2llM669dQUjgfO5+ox5CSZk03tkweWOMyt J2PfJ3L2XZdXb24//3uI/Crm51yZKs/HX01p7uFAbypAJqiJ8xkWpiX66bpwUtr28tU0hpWX m9J1BmbxZngDKjKXAKkRM9ngUWSeEzauN3TTCb1LpAzqdHi+3R+Pz4foBdTJpDw/73cvr4e9 s7H9RadzGFx3jNeRGWeAArhNO7gbh8zrC0AgCXkokV1URsVn+eCHeJnizXAX5hEKgHK21CCv XOiJdFaMTbsskKeeWVvEYkoZIFOQ1gAV0LCMeLnY3dFTTnQLEAZiOXC0i4a72XOYK0P36Xbc 007kwQaRQRno9eJUlLKCaKofxhhBrIsuCsvovoZPnkg/h6JBgrKUJr0axL7F6gNtoStFa0mB 0dQFzcIzSYxouKSoGl8bzI5h1qWrZ7Bp1/euSH4+z9MquIjvkGJQKYOXI2ufUohSFE1hYFMG eD/fXr2/dAXMZiQ6L5QHF7ukPkI2nvOEcurYJRgpewKcfFRHhgMwJSaAD1jjAteK62mcmRaC Wl1wFHBQvJIYANFA3g7kEXu6jD4r3Mbb3mpTKGUjpFdrYdsueV75wyvYNdgi6sLHFJEoXOLg /KqCzuJabkFrIEAGXlTaoHAyDWDZa5nDGYHJ+htomCeamZPla4sJSjByC9RNyJ7o2cia1xJA nEk7xrVc8dIcPMS0M4YCNXImHb4uPryfsbH9zWPLiyZnPlQQH5yTD34S9BaOGfj7cbd6otVU +kAPMqC2FIAZ+DJP7WnOgusdMzdFB0LmbFaNoLo2TrVabsHRp2nd6rAizlakYUBNss0ZFjUc 0XYRYxDj5sgb4z7H9B/4JKTNjvH9JVhciNtDIac/3APX1KYAXQOLZeGLca9gg7uzF6Kbgd2d x5BvrE5figAYmXuo28h0TJNgIUYr8pwvQJ07f4k33Q2/Ovt2t9/dnTn/DMef/GTPHMZbsLJh FMdZFawoM5nvCjNpfrLdJjr6oXPF3UPorNo1BAQFp1hr+BcmrcKFHSVMWrO1o61aLRdcL4MU fNjbXEyO+VzfvXpkM7vWC4+twgo4sXVKNAcXZe4WseEknuz8dovBopGgzqJdu6XUVe5ml3x6 N0PPbA8CsLJyTZpUOECmjG3Af+7y5oDBKm1jEzTzl96U7Xb0Ygj/dDBz+/0Yd8eLdizBxjuJ b94oWiEWdWAFT9iPHke3OK+r8+GjYP1dSGoxFyAnN5+4Uo5W9+GO0T1bopHWV5dnvw0H/3RO heKCpm7Y1sPupFhh7yjoLFPOIe5E6ESzZ+wdqtmYvyF04aaSMh8Dx5u4SV23cqPs7cEJGGgK C/sc81x4B8vK6xohgsnB2gpUvFL0Vn5WZLxKxXyv4fTpM6p0y0QQ6z476Jj+CtcDDWaynYQr AT/0euZGuI0hhMELiLqpZq4tLGRQEKJgomPjANFC185w8FerGMxP3PBZen/eev9xNiNmdAnT lIjOeuFzfwYVo9GZ2SmbgZuZj7I76/VmQ0JA6GSfPBM0ErSpXcoO37TnZ2eerbxpL345o+9S btqfz2ZZ0M8Z+YWrc8cRGky6rLGayIvd8I6JrKbEuyf/HsnSzD3WFpNjHjSvmVqa7DplgcGS CUShChAt7Oq3885Lu9fzAFNNgcqp9uZeCNpfeE6+9w42QhvvUcHvYDhZuAL0Ktro9W/F+kQa 9DwDOWWKa5On+sQNrn0fINZgBfWkurs7AHP+kJaxrs/JRClz8YEBmoF3xp+LdEjVPP9nf4ge d0+7P/aP+6cXk6xBjBg9f8WEoJOw6QrfHYfZVcKP2Z9R2TuWWokKpl9SalWBfc45dwxnT/Ez QUDFoo+p7IateJCIcqld5bSj+B53kbjNvC6Cay0cQJf7JFh2xFN6cBnYU9paex/2b9c2HwHO btD4DTegU/ycuDd0Bs93dt2cGTVJMlswbWr47dUGNqnSJOiku6C23zevT9T0vYqV7LZitKOm R4igMmXbU3EQytR83YJ61rVIOfWCAmXArpjVzNTonA2DJa5/NqSYaYD+lHe37EZrgFF+N2v4 tgxoGSsnfaegJnMdm3RLzWG3vCvpfhlsZqWrJSWZk9UTFZkTMTzfqNEfY4sF+EDm+X0jgpEB IJlgwpPQ0cyqUVqC+qt0xl2agZrqKKtrw17Oi0+Sj97wE1QmGYS7eFS6jJE3OllqJko+Xbt+ fawV/LtVFDLMdViljqnbG9vSDRPclSog7pLppCuAcg0aiyVESBtEJ7LMZ4cF/6fDzQESebdu j0HFwxvvgd7dhvvDQQadf8J7BwlB6oIGdCoTV2MRc5Qd9v9+3T/dfo+Ot7sHr265Pw9+RtCc kIVcE7XYAxsNzVz5pJXo4xLsCK/w8XlfOV9zSTRCi6TY+v/RBKsETKHj/95EQjQJA6NSQKQ8 8BAqm3d5M8vmzHZOop/aqEEef5jHTPt+0LP75o1x0ITPoSZEd4f7v+y9nbtKdtJUknLE0VXw 0NFYgCTpm7tm2dy7dOYXeXOYveI8BV9m09G1KB1rb3q/tDcKgNCAYYZ8/LI77O+mmMfvDi9a H8dVEHcPe/8IhK8HeppZzBziadIzelIFLz3kapw3JpzUKJfIpsrJi1i7pN0wzECL/ePz4Xv0 1eC84+4v2Cxvl8SvEE6YFpPq/fj12K9I9A8w1dH+5fanfzoleIljh9CU2zylTysK+yOQNM9k lE9MyvjiLOe25NDLdQMSQhgSN5SJxqbAmUmPmDEoMSH4L3jcT526L0vQuNvsW4e8EZrODErp xrlsWOruhY/Xm5Dr2S9V9YzZRh5TZLYZeX3pkgX4sG9fno8v0e3z08vh+eEB1IA4rEKxvqqL clSYWI7dNcTkn/u7SARzj6qlmPKNNhEzRfDQR7Cl3ZDf3u4Od9Gnw/3dH+6V8RZvl9wVNIRW 0pd4llmLRFKP3CxXi2l3EGosRUwnlar0/a8Xv1EH78PF2W8Xo52xK4Q3O2jefLjRAxHcGrI+ HTYhJSt5jTnaqizud5d/29++vuw+PezNk/3I1M6+HKN3EX98fdgF1gxrdAqNZUeekZKAUDBa H99Y5BlgHgbWijpvXS8qqUXlZagsFJEN7c+7ZoVQVDCIg+jq8UadZD9fjFdCM8tx7T6UHipK vN/m/qrBuw9MGRR+Qr57TBm2XPGtmhDtferaHBRZeWFnYso43CuCobCl3L/85/nwJ3rJ0b84 9+HJilMesinFtbsa+BssLKMtEz6XgDGTPMDM9JYAHV8rY2qqYH7Zs9dxpcGV5gyitYz+Qt9R tdwa6A46X1Rzb8pA2JY30kGDLmj1gTBjMXOzmLOy/XB2cf6RZKc8mVuAPE9o2yFmkntMs5xe p+uLX+hPsIquB6+Wcm5YgnOO8/nlcnZL5h/3pAn9vbTEalsl8a03vcKw9MyUedGrrPAB58x7 JhhSLspVG940TQRmFbio8pnicUVhpto9fnVmXie693nX5Iswo8y1oN9vOzJW2Sn/itwan9ap beu/9Yg/ejeY+HLjd/JhNHaR5XLT5ad8KxG97I8vQTHnkhU1S+dGzUpah+qUdmExNaaNwD9p oPw1yxaohOe0Wot4wrRj7ls97fd3x+jlOfq0j/ZP6KLu0D1FBUuMwOiWegrGgliWujSvF807 JyctvBFApf1lthIzT4gsqytiDoqivfP0G622CRP0G7syo0s68o1uSrrq1l6AWrXodz3d/3V/ u4/SAZCNfxbi/rYjR3LqNRr7jMWWrhDfAi+liyrz9rOntQUWhlDhvoZIkOXSLUWtavulTNSF SWWYF6wjP9sYjOcnZQZhUc4XIeMFOBtEnTd1Q5e2Vn9ankMKtBnA8pgltHVGyL4xvrsHGidy /2kt1jOrath8XfvliAAinNo8smencqy7fqOglSuFgUXwJxBAjb2LRvu7Fe5j4o6mqkKMaLQj FoWQ09bunx1AZGP+Zk2Kr4ezYN15mdjbRzpWvDPK7OcAJByGmdcIhfbuW+Gn+csltBdALozK lB9hQTFZaQ0yTn2zVmH3MjvZltW/Du3MJJojnL7C/ukX8wxNH3ZPRwuro3z33StUxh7ifAWb 6+StLRGrBIKh2OKKmrbpmaatWRkwBnwHdGezs7T1CEplaeL8LHy2WRmEsx5lqNrGUhem9Fjd W7PiXS2Ld9nD7vgluv1y/5UKKM1mZFQwiZzfOaAyq93eV+EAtAQZOkJcYh7C+uX7HbOU3eOv 8PttDCZrq/nkr6tMBPMZwUBswWXBtV+Lhzw8SjEDhLMRqV62tNckBGcKUKeCNBYkBD/MjD4c 4Xt/GQO2G1b1cxfnBI2Su6R2QszU56L66dN7Y9Ja4DBO7AsrUmUMSkAHp8am1EaL4ASAVgcE GRBYbGq5OttQ7L5+dRKfBtqYs7C7xdp33y5gIAnjxzXGsChQYLzSRrv+SBAnMajL66/QP/iF bq5IzssrkoFbbXb66oJiyyyYfJH++v56siYiWXZEb8+4ii9qsqbCrMbqw9nltC+VxP9l7MmW HLd1/RU/3cqpOnOj1ZIf8iBRsq20ZGlM2VbnxdXp6Zx0pZep6Z6bOX9/CZKSuIDqpCozYwAE F3EBQAAMwImJ7k12TEB7f3hycKujyNsNxuCRygRIA5UF4xHzt40WZsl3og6cYsEDymiMMLGe IXbOcarxuABrPtVwwz9y5FOIPjz98QnMcnePL0w4ZkTyCFX2U5VrQ+LYN/rAYRDQvq0GY5II lHGNxAe6thrX7QVI31f6gkEdfeQHWCDOcCHKPr799al9+URgEVhyrVKyaMkunKvPIZURmMmu zS9+ZEP72Q2PzwUIWC0J0ds/QtnhRvTOAsaaTyN1jua/4mPUjJdWdj1FCUHJToScfXaNEo3e h5hElBz5fAG/Jj5nvB/bre+lnp9aRWCqohW2fKEzLlxoX6q1KijSH247xfpZ0Zv2QPZVh/dz QouzfDFybKFQARF1+u5lkuZ5fzlW6vXRTMWmWYQ0nmTbEm02/EEr13znJFNKCJvtvqJV7BkV MulJzj8bODpPIe0fKaQ6gBdnZyZeKhhgBHewoKXEVndsLFf/I/4OVmzjWz2LayGH4CYKOFYG XFC31rYowdzfKOImRSb1uyTtU24sHwa4Xmoe70r3LVMwVbfTkSAvc2kzCTy9csBumZDqsj6N NLv6VOYumZRXoXv0FqqvTrtV/w322L7XgrAYkB1fPQR6akDhJoqiZJC+BhsnPgLTr9wYXFPe QL0x8PyKyaCBPVv9LY2CGgz8OuxcrooPUUdAQ9B9g0bAswFgxNrVkIQy3b3KcEVnLnjdVltc SVJo6InndcOuw2Yi5I5KIneOALERnw1pmmzWizR+kGJpH7uD6rJ2kH5i14Z9SxnKMQZMvr/e vz6p+U0One7oJQN7LcD1cKpr+GF0rUKd68dCcKVKKZzxVRcGgyI/8Sjh7jPc2tFroQ0YB1FC q2ufdUvci4xs1p7OE+AnCKNQGI5w0l7kcbvAtNYigFUo91YX4U4pwvx42/VtbcT4CpnlmDOZ 6/FNWCd/f7i/+/72sAKnKghfZBI9vzoRRZ4e7t8fvqg75fQBcuxkG7H0prBb3dLCHh06pJoF WYJxGYwUTIC+djc9Kc4KLw0sbTj0lxRHX7hXveZtANepZ/A/7PfofIcwAiYY5zXmGje2eF+g /aDDsFDocG7KSbl6fLvHzElMAaPsVIHMvGF99gI03qqIg3i4Fl3bay59MxgMZrj579Q0t7Bf YkaWvLlmVJu93T474HGidAc3+0SRBvpq24j0PTooGQZFpK8I3YQBjTxfHcDyQOqWQiA0OOM4 TIf77lrVrfYtu4JuUi/Iaoy+onWw8bxwnpsCEmiO6OOA9wwXx5hr+UiR7/0k9ZSLVQWeKFvB COet23iDOqD7hqzDOEBqKai/TrVUvmdpjhaxNdi8ajovjZWlx39zY6lS5YnmEBcKovaWZpso RfsoZKlxDQX6KSd+s8nDqLLjNfBjb5zHZdmBGvz2/evX12/v6kwWGLbeAuzYkNgpHEMHN9mw TpN4boGEb0IyKEYdkie+Z6WMElCXV6aCZbOdnprJ4CYysT78uHtbVS9v79++P/PkXNJx6h0M o9DH1RPTZWFLvX/8Cv9U+9yDNQZdeOq6Nlcn55A9vT98u1ttu122+uPx2/PfrNbVl9e/X55e 776sRHbu+ezM4HY5A/NIp1h55Iw5N1w9EzknXsCuwAQwbr8W2qqahpvHefAc+tMQUFJtUWpA qIQz7z2437iZQ0pou0EEPGDchbj/zbPSJKw5c9+ZJnH5XJq/5wQG5fHIc/0Q2PxvZ52rJHtN tSRDzdO44JdlDCmTYBtuRBpJWWJKt0ico4cMGiKM7CytRjPJvK6mTjPZpNE9co9ZVYgkW9jK JqprGC9e6I7RHCZvrx0Mrs3k2WnwkpLEPHdY22WjRWqMn9hK+evfq/e7rw//XpHiE1vGioPd JBhoHSL7o4CiQfsS2VLaY5IWepk+cdxp33qEElwU4D0k3MHp4Li14SR1u9u5fEE4ASXgdmBG icwj1o+by5vxpUHnHNOn6Sy3xP7kOkXF/1yaF1eaUTM72wSvq5z9hSC0pDATFNa4jGox+n7s lhtRtxf+QoF6TgOc34TxHJrqNxOowxAIKtwBoAwspDFLwst1YP/xtWM1ed9RLHic41jBzaBq EyMUBstsZwabmItTlhFeu84pq0ii8ZcAuPej/JEPGds4v5cwUkBkYi+eKLk29JdYMZiPJOLc s+LZNSzkNVXdEmb2/LK8729FulH3zIMSG1QUHtGbaNBcvyRowTFVbENnNsrOPep8aqytrgNZ uDWg3FpHb83JnR2JyCGiAktWY6CGcDKJhW+4h/JipByfUA3u4DXhhdSDGWlGCmwyMUklMLpv EYQL43Pa0j0xp5sAmgZdDYVkDzKXCxOhsBtFKY90Z34ImfzpocL8JOURNYT+xreX5vbE8yUJ t+bFvc8Ro8qxnXOQIPZHtzWP4Mx3BKWKc7Bz7hhV0xiDXv1Wddey6/gFpVERoCi4cpAeO8jE yGkZeQXotolDkrIlFBiVzZgxBUdJKSQehPwQczS9SSsdZXt4EMdfO6jAi4lTzIHQJoXmkCFH /2iPb3e03S5MAj2bJQd/ZkcvkxX9IPWsofxcZ/YZoU0yEm7iH+YmAC3fJJEBvhSJvxmsOj7Y r7qGb/GuBnRN6nm+NRjCArEkbogDUxr8nN3bm5vh/nosMmLMDwZlmjW92H3bX8vGvUL3TAk5 mZJASwuxhHiY3rOFO9XmBgTQgp8nXEcq1cD2mcAVYqc7y4NtR/ijHwr84JWpifMWUluCRmAW 54HB6MgDtmtsCxuZog7eVn8/vv/JsC+f6Ha7erl7ZwrL6hHSOv9xd69ob5xXtlct2RMIScrN waQ8ZwY5G2jir4PB5ML98jn7Zw1BqzqINIsRALdb7CBCLHqNestT8AfNsqMGgrnuWRBtgo8w zAghcVG8NkqIRDSZw2DHCPhehTtu5+68GpMtFzNw9dlxB36yukGLNNfK8nYCKOQOcKxZQHdO WRWw4OSH2YTAogsOf7Ixap2VNFIDHPewOlEjpECo32VZrvxwE61+2j5+e7iw//+FWW+21bEE l1mct0SCUxIqxmSErecWUiRwR0M9+WlGIOQB/BHKvMfPcKaNul0Iz1zVOEJW3GcdJh5/gjeS mLplZ/o4nBt7PF6+fn93atvVoTvpKUoAwFgXqMGRI7dbiNLlrsbPOga8qeF+wwCLND83mn+M wDRZf6wGiZn89Z4ggcG0q+gxTqIYDC2ryNnEX9tb0Q6jYHleKlWewc/iWR03lxOEKHBT3uat iKKaKhphTBDp4jjAtgGdJE3Vdho4LE5pJulvcmUbm+Cfe9/j9lqb6+c+8NeLbapvgClWFnwU lkpydxuYAqWyj07YnmTryF/jmDTy8VEQEwRdQnOLmzQMwsU+MYowRKpm4l0SxhsMQyjeoO7o B7hn4ETDFKcetWdPFG1X8odP8Tpo1tCTw9oyE/XtJbtk+JkwU50ON+jV1twUtvgi7Ktc6sgL 8Vk09B8whX3qWhKELck631e1/wmTk8ZesHylLy1zambAGWHX7JAx2RkdnpkmxLoxowtFwpig pM2PGQLfbYMbDHysOgeYzSa1yzPuBInxGvT5qYmIZ8zLSI/wplXBjq8DuPTbyL5RPYlndjzj thNxDVRv0gl5gXdEWqyaJtuVdZ0dsOZBNHt7zNG+c2Tuek9mJoOEs6iH/9zRS1WwH0gDftuX h/0pQ+svcmzPnT9N1pSkxXrF1PYcXHa2A4LMaOz5PlohnFWuYIaJaOjQHOrKd6hv2Gxg275v LyKe58MRpiYI2hPZU3IsS0cgkliLRtgnPyb3d9++8Juc6ud2ZRp4waNj0f/EoOA/r1XqRYEJ ZH8aTzZzMOnTgCS+Z8KZxCGOMR1Kqo4GJrSucoAaHI7ZxSSUd1KCWLn44qxp0DhS1oqyR3IV dRsFsw5qR8rBTJO3lFOREXY9UCYcLBS61hFajsmlvnfjL5XcMp3dH6Ug8ufdt7v7dwg4n67y R7m+12TPsysAdpNeu/7WDGPq4A3JMf1mxTVaXBiWeZEkCwsofUaCeK0PbFa7FOVZWm5/axtc ZzlcdxS3B8pHwo2bJLVnTDbGbr/L841IQCr9hr893j3ZTsKy6eNzx/qkZIg0iD0UqDyYZodY qHSaO5OKYCDaarlK1VKkMuf8VA41NSoEh+P1xENyIgx7hNzhTTmRoHWMmT4dN8/KKFw+JNnC wYl/PZUMjhfDfiuCPF9fPgEBg/BPyC8CEf1S8oJu1VWPmv0Ehf5wmQJUvojJ9VfH7JRo8Bpc NGoLMkrIYXA8wjdS+OuKJgMugUsiuS3+2mc76O0/IP2IbICXswa2X35IybbVJfSxw2NzJHpL 4VmAj+pgv8oBXsksql1F2toRHiipm/Jw/c0P8Ujy6WoJu4fmiFIzHdfdOAkw+s7QcaVjl7sE JCi7ipehNbsgh3fZAfKhnvHnYTiJMFloubVVtHoPLwHSEVwa26mJp9XWANkPJYvGQZKkdqtQ 7y8y6ycCErnHqlbL+Dxjx2z4U/9nlJFaHKE4V3hMtkrhtG4rLeywU+JwNmI4juFmjXkXZV1X s7k4nSfSUH6PHNfzBL09EB7AT9y5XCB7QIQnIJ3RkaYVNhdXWi4mQiGBuPNgdA6hlM3QnUhY y78jZrskOxhB9RtykCNLjcSBWxIkp0BjmVWaikEOpZ7tTMUfTucW1/CB6qC+BAEAXqVqY92p NShQwnUio0Lah+FvXRDppCpGjx5mc5tIA64ibrX6wyJsh61vscQ94LllWwkDO9cejMNC3jlA c71evik17zXBmKkFVzUADUn3cDsdwzanYfIx/f70/vj16eEHm/DQcB63hLWenRO5sE8x3ky1 Zme7YooUTMcYHAPakWwTR74L8UNTt0ZUdSD9EY3zlRRs3MyCMgbekYwKKGij+qax/mZP/3n9 9vj+5/Ob0dt612oZtEZgR7YYMFOZThodeMjNgym3mRVrBIP/k3RUnH3lx/pZaGLXoT60HDiE RjObIonX5jQS0CuN0hRToCRJ6vu+zq1KPRNCyd78HpXxHoiC6qpqiMzWHLidxJGLBr5exXS2 jWssGHYdenqrGGyzHsx6zuiFqMSw43ZcHPyiz1IwOF/SzO6TsN752+6r3yH+X4bC/vTMPvDT f1cPz78/fPny8GX1s6T6xMRfiJH9l86SQPY2ewEVJTyfy30kTCdWA73whJNJqasigC2b8uwe eIfdGlA3ZdOpF7Z8UxOGWe1LsCWiXltq7LshM9OAKdjjTTjo/GnV9CXR+QuBd3I5/sFO8Bem WzDUz2K93X25+/qurTO1BVPQjt4wGddSg8nFOTp9BqZa5OKoff9TbKuyCcr0MJe5NPdenXlT eL8hlZ4+EnV2tuYEB0p3aGejhR8XfKgPSGB/+4DEOAVncQlNo8eTcqiio37rKXbJjmIaYdch efIY7D+QKubu/fWbvd323er+6fX+L5Rd3139OE1FIkyLc8nz9ay6/W1d5TwluDPD1/srK/aw Yt+bzbMv/BFBNvl4xW//q4QziVNtEjkfX5QT4E2jgzP6v2o59q8ZMKZImRGK/YS//myfn3O3 Bc7xCNCIBf+fWjnjR3iX1U2m2aJGTJ7d9seswmbvSMJk0uPx9lyVF5ux0CksMD0djhUtxUO6 s8fj+MSvNNUwtRE2Ke0RSBQwJ66RQKbp811Xp9KjziQnCIrh8b5zaCQfbKS88EnVYWMgq56T 9Pnu61d2OvAt1tqbeLkkmp2kZntkN5lT0Y8s+npx5V3j6G3ipylumFAbvGwJEZRH84jQ8RUa Yi5QfZqsfS0YmcPr28PAP7qbK3VzZajQ9wf7qxBVY+DA85DGsTW04jxBhXve1YcfX9mOYH+s +UJahx46qwp+dYoqijM6GAxOXGYObeg2jROru4Mfe8M037aF3XRjPtkX7joBOd6yPQ8MOujD Qpxmkgj0omLfcBXqO7qON+othADLK1QdemnSzSYaz3qQHJY/iZRg9SHL+3QwB2yMLCnsb8X2 JzSDKsceCxIG/mD1mbZFdoaLSKTgxR8/jP/p70epLDR3TELUP8zFl5mH+E1+iy/XmaigQYTK 8iqJf9FMJDPKXMVq++jT3f+ptxeslJA0eG59g5/AUNySP+GhsV6KFhUoyDNcmPnMMFI/VD+Z zgWPWdZodOcHnCbE7nx0CkURMxBs5SgCq4pM1p4DkToRPl5PWnoRUiT/HCSepzjdycctTl1X K3F1KtR+oLUrMvtRi3m2y5MiK8jCaxRsR0s3QSz4aN5xTJJa4C45ytFCGKsEqWZa0zDYB9QI lCvMEU5zTdYZwTCmPxzO3iMN666feNE/IsJ1r5FIboPwQBhurAd7z459PXYOxN46xFx5Rl7H QU2fMxbkn0aNgx0R8w5sVVZ3aRIki+1xKI5zrYdspz5xMSLY8EZ+rG2oGmqDmlcViiBOcK5J GKOImHXfHhamt4VRgjWDH1jeZvnj7rLTrrzWPQk20dLkO/axFyKDf+w3URybS5TH8KDAURKd V62Bg3/2rssalZi3OcZnpUqH8EOoTLnLxiHXE4IoO6uvSl4alQ3/CS/ZmCCp3ApRXdw5Ckdr RPueQrGLJPLx9HIaCZ6/bSZpfC/AvrVOoXxUHaG49+mIjX6JqaDQg0mh2LAzEKuuTwbfgYjc CB9rIEOsA7yBDJUshcwLihgtTEmyXhzMm7QvtYCPEe57HPFsM91mjR/vnQ80zZH5XV1CHi27 tzT3PQ9jnfVDt9Tagq4DJAkAhPUHyLAWZc3U36axu1fFN0yqzW0EaHRevEX7DcpesMVCJGaS OExiarekIX6YpCEc7zZyy3StpsCq3NWxnzrv2SeawKNo+oiRgp35mV0tAwcIlOu1qs/ciNlX +7UfIsNf5U1WYoOcN105IPSsBrER2ag49pCFA1Y2OR3NAkz5taG/Et17S0DZjD36AZ6Zggda 7HAXCUnBDyF0mTEUO2yXJi5QBD6yZ3FEgK58jorwS3yNZu0ImdNolloHItTaW8fIvAWMj+6c HLXGHMBUik1i9xkST6zDDTbhOSrCtC+NIkZmIUfw6iyu+/7k8Jee12cXLp86TXnYBn7eENfU rRv1GmmGJiHWUQb/4Ms2CS4ZKgRLg183WBoV8ELHm5Nit0IKGllldbNBvgODItsKg6Kjw0Sk MMJbxFDR8lcTNMvj2JE0CVGdR6WIggRrxKEnQjmvKJ58eiIkPVsLITb5AJV88LEZDVO7lqY9 UGzUvIBz67dpvFEOv67R3mae6DgYFY2CBFn5dRMwRQgRpvg+mKToVgaIOUs+uvJho4kc+0ng JfEH6zQbwiiKlj4nKGLrFGkfUzgipiciB8OJFBsPO3cAEeCiym/12hmrPA75pYGTdKGtdN/7 yNgzcODbrWFg4mND577WnSShpvSTENmLSyaZMPXUbgNDBL4Dsb4EHta+hpIoaRYw2M4gcHm4 QVcgE43iNSRmcKV1m9k0a+wEYxKXH6RF6qcYjvoe/wCI2E2TNPhAVWEjkX5wsFSHLPA2H5Lg eRzGiUsSZOH3+4bE6NTsm85f3Ew4AfJpGTwyQqUVzAc9/dDEMhKeqwxeJgB5bqGNjGqdrhGx 9dz7gY828tynQbjcyEvKxHAfjRVXKCAnglUvRwSFPbk5InTAEZFPwGFnkFeZNr5O0rhHNnGB Wh92WPcZch0keyzSWCcp99tRq8cdNKYJzh9XNW2Ns7J24/lojPH4VqzquiZAQnjCHeQkRYt1 YERCllv+Xl5/rPSneUYK9W1M/tripUKjtzD6bVYdxbsVH3HmL4a4X/bEikhrTM1fJUeFibGU 1RQEP3UNaykQ5Nlhx//4oKK5J3hFRrNtoullNc2LQrzJCWVJnaELXZDQllyLnm2CLd2OceAG l5FEVoizCiNvcLxRPDb0qF6OywaSvTJZJeozO2u4j8UVtijW9cy4nJHuwdg6o7n6HLUIs3h9 ebx/W9HHp8f715dVfnf/19enuxc1UwFVnFKABQXHE2X1A1dS8ehr+7FrBavJBgycR6F41tJ6 9EwrC267i8xHAh1Oi6pdKDaizUbRqsbduwFppJnnIO69C/3gAQl4ZToRitN9DHLSZNanyr+9 3n25f31evX19uH/84/F+lTV5puVqZcWs6z3uAvrH95d7/qCLM/f+tjDiLACS0TDxNaFuhAbY Cc6fWpaXzAajrA/SxE7UyHHg/Hvd18RxMgMN61m88RxRFpzJ0P0/a9fW3DaupP+K3nam6kyN eKe2ah4gkpI45i0EJVN5UXlsJVEdx0rZzjmT/fWLBnjBpaGcqt2HmVhfN4EG2AAaYKPbXWJm Cm+YftlWAvVYmbwNKVktPXtlQA5ca4TViQWzeUeiep46ofiHyoHsoMFJgQgneErIMAnUWwik XR4yi4k3FimRWfI892qi7MYBZUU1eJD9zZg04sOetHeTW+GsBkWTgJ/ILCIAVAbmCbVRwoXP ZReNHFJBxYVPj9ZOiWxLRApsf5Lq4ykpazwhKXDofpCAxTGP3oOBgS4Ih8OlXadg8+kH6qmK So4iZnLqSiPwFfZFcCLHvoc8Fq+WNyqDD7noQyv83Gemo5l5gNqFYhclY+OxlV5Vm3V7Sznj N1DpTGFAhvPreSiPuNV5aZ+s2f5yafhJypJMvh8y2NFey7/C0eEzn9qUJOiC2D6u27t4aUka BNQq6ELH1qc0S5BZm+Z+FPZa3BpOKAN5ZzxBxndFTrk7xkwjsXlePEjVKw/rPkB6Ui2SbdRs /ax/QwSsg1hcnhcw24km2ssFetF4K9/es/ABO7Z13eTnOBqMDQ2dpfpNWnwExjcRnBRpejF+ NdaaAajrRCga6/3O8Ti0rWWSJ5X52MqxZNqSGPRlS2Vh85knqci4bTaVbKSQfarqDiOES//m mLovHDfykEKL0gvMEdQlXhCv7FNnV1qnbcP5j9sKbf6xrsiNjrgvY39pdDFDPae/uewDC1yN vVWy8G0bMOQ4coJ0e3MmbPI+Y42ri47I93RmBrhhtxc3M+m+VHfIMxfsrvjmauJDpJ7ZjfVu JpGki+NQ6WmJmAYeuixILBX7p0FLFpYj3gBhn6JvQ+pFbm3drJ6xuA7aME5xMMqGVIEXyO4b M01PVjRTclqsvCV+3q5whW7kYNdYZiaY/SIHr4bTbreZu/f0+BsDGmq9SixiVGI9A6YMm8Es pDj0V3itnGj5XKhyrdzbwnGewLVJsIo8C2m0sSy0lWeVPLJ8IpGYBnNcXZdVehTjkjFSvMLb w8wqXEF1g2ummD7+Eg1xMcPYNvuPmYN6N0tM9yVW/XSEgREHIwqhULdsiJo0QiXSn04FNCjj KMQt2JmLLYOBE3q336ZkL6A01wstk5YwEtB4XDqT7PKt01bofCXZGraqXdSc1JgUX22FNloI WPHCJvhJ94rF9aYI+ipZZmlOuO+quKU7H2x8PT9dHhaP19czdgNIPJeQkmdKEI9jCzNnE+Gw Tt1BqkgrCeIbgH/8zINbApyZpzP/D/ho2v5UtjaxC8V+dC0ElcNW70OeZrWaUklAB79wdQyy z2o2hyAIe6PMIfdZS6qtfMFGcHT7So6lxcH1fgOewwjKMzBvTYKr2YQzXmZl3ei1cspQlmyB dnCsaF6QG67lgMIY51+tvpFigAi6OGsw3IdL6jSzRNzndFvESvGqQC5di4UCP3x7//56/v3h 5eH5+nnRHcxL2qKf80N30PqNYydSUKITNmuUf5f1+b5kr4a9UOXERCHXbW75FiLYyh6/ejRo XOc5qgVhbe3vX3789Xp5utHopHeDWP7mrMBj0zUJkj7Gt9WCTAmJHM83JKRCBEhVWia/wzHx eLX0DRHL8+WjgWEoHITq6Tiv0Q8t8OkA70nqpIeXx8vz88Ocv3Dxy/v3F/bvP5iwL29X+OPi Pv5j8en1+vJ+fnl6+9Wc+uh+nbYHfmWeZkWW3Jj9uo4kO3kYDcrVorlqspfH6xMX5uk8/jWI xa9SXvnd2C/n529nkTL4bbyySb4/Xa7SU99er5BLeHzw6+VvzYN37FW+07zxRruURD66ak/0 VSy7yg5wBmE3g8RsOqeg8UmHEUAbz5f3Q4Na0MDzAwwtPJcY1RcHz12SPHG9tSnCPiVMSe1t YgtlFBl1AeqtdPTQuBEtm16XgNbV8bTuNidBE+nPUzq9Il3tmcKGAXdh4ayHy9P5amVmS0rk yEatgNddzP32dFANYTDBYWjtgTu6dNxIL6os4vAQhWFkzgt8vKFnOjIdGdVN4Pg9oiVAQA/m J3q0XLpGefduLF/nGdHVamn0FkdDYwVvek/4i0rvAYbQgzLCkNcXOZGhBXwy9aekXqK088uN Msxe53AcmH3OtSDCDUOZA9vVzXTPN3qGwysPqfEujh38yGjo0x2NXdUMFZPOw1dIwiXmMilI ECdunh/evuig6KrLVzaR/esMCcOm+U4dyk0aMuvYMVZpQeDuefME+bso9fHKimWzI3y6Q0uF wRgF7o7+IWUVPD/DJ9wrRCFRJ2C9ByJPvhM0DJ3AjVaTHtBhTv/+xlZEJsTb9fH0KLroSUvG JdYRYQgOTUm+v71fv17+5wyLu1i9UH4I+dAUasZiicpm7ti13MUx+CL05FTlchibfBCuUldx HFlFyUgQoe7KJldk2uqCXHbuEvWp0pnku4MGzbPJyKhuiN+K1Ngci0OSzAaxsvFY/RJTn7hL N7a1t08CPGKWyuQrXo6KqH3BSgjoLWrUWaiJ77NNq723SO86IX4iZ6qN5X6QzLhJlkvnZxrC mVxbh3Gq5cOGKRL6iUZiy/yl6iWqVsXm/Z8PrTKOWxqycm7tZAep9mTFxP+JUDR3nUD+HCjR 8m7leD3+Ols2a9vedF94S6fd4NQPpZM6rF/53Qt5dno7L9LDerEZzeh5hmIwM53jwJVW7xmD LbTcq0ARVaX5mukj3qka18pcgbrr9fkNQo6wdeb8fP22eDn/ezbyZcsYyhLpXDdmDsHt68O3 L+Dbg5yLkK3d52nbKXFyDlsCscHwlZTRRF7RrK2xTzCpnEWe/TiVeZOfUjkMIqB3JR2Ce6nc gLM97EBSHtmsIW0H6t0F5KIm6Ym9/BQSVfAUVLh0p64r/5ACPQ0GD2RF1pZOpXgeOIuZHoHl xHHkSXbM9MNs15GB5oUTKjcMRkrVN3wtWsXYQsFFT+VA2oC0jhtrCEkzfh1EKV+g/PNPg6aY kplKqncuKdNtg32eB2JV7w8Z2c9iDMBwsBSg8JRZ0kOKOkGAAB6iSVWBfKU6R48YZKgr8jKv SHuEeJK3TuC4Tm6x7yxAOeRE7U5KDsoHN860zTQlP5T3W/3VCIypbSJ/5AbKtiSBOj0PaIgu mQPRC9XvkwDvUzwgEH9nlqS0QwdsXcttAaAnedvu6ekDG20WgT70hd6AdZ3ssIMw0a88DCtT IrWTGlJlU/Sk9PL27fnhx6JhpqycM35inI1GkyLyQ5xomMWEGJ07MO1I25yKD8y8aR3aoysW bwn3T9TFysfsK4v16+Xp81mTEIZv01WeL2eIF3XDwDo1NA75siL2Fa/MpF789f3TJzbjpHoc 8Y10E3SczvjkJsFrSA4J1wQVLE0T5TfPp3nIqHyWLpXA/tvkRdFmiUlI6ubI6iUGIYc8Busi V06mB1rL5ugm77MC7hGc1kc0yjPjo0eK1wwEtGYgyDXPlE3dZvm2GnIAac3vdjMuC7vOtwMB HQWMg1XTFRnCpLVCOaWGV5BtsrbN0pPqJQHsbPmEyGOWCksCDmnoYTIIbM6J8Ax7YFguVSm6 vOA9BTkhRk1WlO7LGNPSOBmHV8kngFmPGdSUrv6bvcFNzawa8OOpDBU6rrPWVQx8GR00VW6/ FrhaIrBFk70DXd/yknaWPFhrsFQcfEcExIziQbYYrfJRUx6ski3RJJhy1ljUg9mfqpMmlM82 3blyej2BVkeTmcOee3DmmTQFl6rND3o7ALpVOafb8vGNdFlBldcUWSKmwBjL4mWA3hvl4wHC I2k9JUBmVkLI2nyP3TOXuCAVyId9pkk0UK39ONBxnx5orrCxfhiQHhV4JqDvBOG70cmkOzpu rNQqIGvPE0t6PFBN7GM04Jq9M0FI0wYCSRI0wCVw5OqkxH6fPG1G4JgTaGXjEV1Bx7OaLQJ5 ooh4d2xrBfCEpSyXCJApq8FhfemHuk7r2tFKPXRsVbf0ZcfMiKzqtCdIiyda4FMqfgIA8yZp mX1rW0y5l6cmmPAHswyPjCl4VZfqiy7XrC1yCLUZ498xt8aMPVJvTB3rlm3M6C7LLLMR2den O2e1VCfJEV2iqN5WYRZa+oayOXgZqSpXRo4SGWoYPqciSU07CcCkIJSOSbilPigsuZKNkm0F zBxDxK2bpZjekjOtucfjcswcdj+qmYdHSZG7V6qgjFe+c7ovMuw6wMxHCTOzCS7krXiEClcc W+KCKTyRpB+SoLO/OFa4cC/8WT+H3pKgKgKkFUpp4kD2DpIEgvwGti4Z/Xd+1ieG46OpQUqs aUmwA+vyqGgwoddp6CylQzlmNtGOdLpHBm5m7lI18G9Rb7EzIVrvK/meKvw8QdJO/W6QSoFd PRs2ORpKRimwSkVWBBVqklIF0pJk1ZbNopz0VSbt7tOsUblbcl8yc0oFIUo/pNI+1ZsNnDip pfxJeN49CaEZsz6qRD7mGmBxjKfCrOVwvqV0SQVeOH3WAhHvCGgNUNWyBpDNTnvWZKqXOQmm l6tw7Vpbtgnen8eKwN0p7iVE1YZDknDIjkH/8Fyl5WJ2PdVFyuYarXebtk5OG62kMXMzEO00 yB+jt9FmS/EnRXxMQ0FOdLveb1BNgD7T3ldTeJAqbaAolTOaP9Ks/UvX5D7TOST6kJrMrLls 9v7S4amAVFlHkbR+6jmmFEGSVXQC56ZE6wQze6/QJ4pej4cnTE0mkMVYkyFv+XhS29E15KBD VD0fFeoqMkc5YYB+eJ/7RBsFTNdKUrm9jzR+iI8pAq7bidNR5VIdX5ryktSJZe9o0Q1UMXcF lgd+oMnJdri7Rusb0uV5r3WiwPiuv9T7iOzj2LFEABnIqGvLSFRCaQF272rAx87z5B0IgOsu jnpdWTh4qg9w27pGY73yyZQsHdnJgWNlrtyy4jrdH5lxZGq1wLXnqe/GjoGF8iZ8xiAt7Sml jS5/0vUbNNI9aDtpC+JqL3XL42qoVRTkaDKKp33kaQ0TT2tgWVdEQ9SjBD5pJLvas817eZXm 21otQ2A5iqZ/4rw9zqzBw/yld+8AWzKoAUNFHc/yOW2mW0JrAJ06K88SLGUg45HCGHHM9Sgv g0JFxGnw9eW/3hefrq+fz+/wye7h6Wnx1/fL8/tvl5fFp8vrVzhTewOGBTxm+EyM5ZV6p7CN gROhX3YnqqvNYvzzXdwvjaIG3GI5ne7qduu4jja8i7ogGtKHfuhnmmXBrCjKto8ejprp0wcT Bg8qCsSqdINQt176nbY4t3nTMVNUA8vM05rBoFWojwkOojcb+epSV3lyyNd6S+cNvLKOkVjZ JUvgMDHr6163r2mtldK7rib4sdyIRUUkkU1/425BuuZo458BZu62kcCtWkubgd5mAsCeFflt 15lagMHWQPAJ/vHVEup5ZOSWBkT/LrRMkyif8Mw3myqoNN+WROSWGFyW+FA8Li6fFj+u3xf/ fnh5Xzx8f7/+9nx9eLq8fOZ5POA776NlPI4lw/c/S6X6ZkeligPzn7YrGfIm/p8kt4lALOFv TDbP/f/vOlEutppKPNw94z/QE5p7ywBL8jeyzak3dIX8id0m6mgz80km+aDIyBBbKcEyx7pA nZmBw8T9mP0R+tr+K9GV6dA3zBrKtAmlSbmfc7LR9oh1YgDCNFXj6Q2UMWC7usnVjMdSRFvQ Z0cpk1Tumgl56DUZfLhhVdu8ns9vjw/P50XS7CeXyOT69ev1RWK9foPoI2/II/+tahDle76C mcAt0mCgUJJbCNRGaNLc7E5OytDS8rKHe80ij55Mo92p3BTzIZ9JZvYqCo7RKfSauMvN+tgl /OZb6EOEMjXTmsqawCkNvefMkcuZrcsY9owfjBXcZGUb9lW8XC3hCr5NoL7bNFui64heLHjK wN/NlFCNj2kkrJes1GInaio8GxxOpBtknHLnB4GP4qHvYnjgxSGCF0kQup5JSKgXFLp1IQi+ W+g7OIkwhF9BidbiEMk4IUIl810ltqCER0sLbpE3uiFu38dWgvUpz19hugPLp3jJN3Qno7Hn InVuuzLEdGBUWpPCJj8njJFHGCFw3L+tBLxdbcFUBCkNBpgN9xGxxIDE+ocP78iWYW1gotsO HF+RgrlJBGuvlYI3jObtRkR0sI1Ay1xKaemGS0SdB4KlOlr6QRghhI4oqZFkPMDay6YpSqhJ 6Ah1A2yYMUKwxCYAIEQOUne3Ias4WiGE+QbPTSLeBxOD5+inEioZI1KPuG6UmZT7Mg4cpKMA x8QEPMb5IwfRaMCxoclvHln4PeRFA+5b+LEXzXFc/ihC3ibD4yWyLAgcfyNw+XiJ17EKEVUC PEL6omsIRKQn+iP88yQ/DpcI/FtH0+alZIpK5p3YBOapeUOSgfIEwn7OuW26lhl/3Q61sBlj S+5R0h4qMqcdKHo0tMf9AkSie3jmkhkLOvATv8tka4NjSbvvdZk5eNpsbLKKT5F26h6Mb4vQ 66y4yytVCJGpUMdy9ksDm7ZO87vsSHWJkyP/9mOpk3XutuaZDefiZuyk5GnP4QyMAqbUDPc1 5VukHPvIRNEl2WblOm9tr4w90NV71YTj+BH7Rg6Ue7Yrl4Ox8DqOrXC01krJE7ZFspTT3efV jmgdf5dVkHqyqzW8SIxQrhzOqvqAfUbkxHqbm/o1ovCjkZox4RsloSbA7b5cF1lDUldTQYln u2LGufno/S4D90b0MZCGu6eU9V5WBI7nEICw3nQaXDM7vDXfccm2rjl/j9YxULf4WQrXYlJB JNGilicdCTQUssk6AikadTkaNkSKJLUKwXZGEI2gyhPbyIBJjvRqq9kujMmuY9yHVwObLAM3 V523g5fAZib5zI4T9lVT7DWwlSOPcOVus6wiVPb2niCjZ2hJ2u7P+qiWK6PGI11+qNUa2fii rCV673Y7NjRwxw1Bbve0E98qrWPXmDPu87ysO039+rwqNZk+Zm2tNmpEjAZ9PKZswtaHsAi9 fNrJWYwlPGGyQ+AX/usP6dIFuq7xhO+5pK17uj7VuyRXPXFnuYBueOsAyHPJ7gg97RIl8SOj GYcbgIEc0mo24c2XH2+XR7baFQ8/8ITuUFuzw73sqrrh9D7J8gO+7DKqyFhqS7jMOUi6Rb2n 9vfSBzH243S/UwIUlmr4vDK54T0K1KS425LOvFckwiKIyAjJw+vTIjViybKn1/ClT6ldQKN7 QKxWJmhrZgVZYlZDdfwDt1VeSDJ4U9jd9e19kUz5mHG5aar3moC0aI8MZmZQvePd+kMVRPDz 2OU2WYcii26DD3bennzDBgsaa5WXIOpPqCpVso6cpf6iDzzKDPvLUtieyZOHbV0stSaK8/mh 7ap0Nd3layOvu8JTdthyVDJbp8sTxT9jxEyVlFIp0/fL4z+RyMXjs/uKkk0Gaef2pRpkGCJW CxXD5KGTshqV2VXGFJ2/rxIfuBPTn3zZr04eeqtrYmsDHuzLfF56I8jz8P26yFLpPBh+CW9D DDtt2P93Y8PBkw+Z1Dg7IZ3jolkZOXmdlKHiCzCjgXIrmOPcb9Fa1uTVqIHKMR4HRa5kC6pH HwaS6hInCoYQor5eWxMEU1YPU3xwWsS/Ns903HV3oqPxCAdqrARpHcFYDSc2NzXANGkih/I9 WoHelxqCxKAU7y9146Wri9J5gZwsSaiHHvObozzBXZV167q+o9oTc7A7tUldQiDumb33uiIJ Vo4lEvikQMHftk6ZQw6rAt11qRuuXHMw8G8Wfz1fXv75i/MrNwTa7XoxuL1+h4TU2DZ48cts z/06T1aiX8GALbX6p/i3U/Xd6+XzZ2WqEx3Q5tut4ngpw4Pr41eUVlcZ3dWdhbrL2PK6zkhn KXm+V2C8tIEjQW+FKix6ZEyFOCakUONO8Q65fHt/+Ov5/LZ4F70yd351fv90eX6Hq7rXl0+X z4tfoPPeH8Al41djIpu6qSVsH4qH+lfbxIPHzV0GdwYgLn/OzFApu3LGDOITG0PgAUmTdr/W SIZlCqjGU2RbkhxBE2TPRk7SorJxrCxFIV8VNIsC+eSUY3nsrqLAQD3l7HjAtIRSAs08x0Vv o3Jy78V6MYFvFh38L2PP1ty4rfNf8fSpZ+Zs63uchz7Qkmwr1i26OM6+eNLETTy7ifM5zjnd 8+s/gBcJpCBvZ9qmBkCKFxAEQRBgPjcZtGFXIyvGbOlpX6+6TQiS+xcrA/xYdIdhE9XWDws4 pN7TCjGGUJ/zAKroFlKhVTxc2IAMw2stgyTMb22ED3u2QbxShKBmdQTAudVLi5FTL76wqI1t BAHy1DqUS2I4FnK9RVy8mFJHIfQ/IU6dBCq7qgPanM4YQMjVtPSzXeWWUjeggWoGZhqiaeZ4 P27bkDRG+pd0F4xjOhEEaF69msh7pgvx4fF0/Dj+de6tfrzvT182vefPPehyTCyE1X0W5Bvm 20Upluq5ZHMKiUDpZocadIWAurOq3+66raFKzmEoRHQW2K3nfwz749kFslhsKWW/aZMmjsPC MxPLrgtNFxaCI7OJcDINk7hdmg0nE/s0pBHCh/+Y9DM8VmDFgz7V2droCV3+DHpg+XMxBFPO VaRNp7xAuysa9tlgcm06R2S2CFB4XpoSQjlhX6G36axnpDUaUwaF02F/1oW72o46y81UIAoW dz2gl0AtHPe9DeIGVwNuLjWOXkS1cFxbNooxbQ3CYOMs8hAHs9F5KrVoM284mnacpFzC6cg9 BDsU4XB4ietqqlF7PDw0+Xqka44UEEV/xi44v7R3cAO+T+S5fNBnGXwJcmKV+RcHCDaN7YXu hF6mDNJMY2/nqcj9Idewm3zE9mON8ecrtHszzfVk/igYhCmfvN0l6261JvFFewYkJvZF0dmA GMp1Vx2bEEsuGAekBU7C3XRip3SlGDYyGCGY9ttrGOFXPDwS88zr4N5Eino+641FEjOMmZf+ ZMhJvmI65GLe1BsVtUU3X4Et3bPzjNebEfrO/XzTgo2pLTRwt+K3sKLNB2v113ocQ1dh5/B2 9Id2JsOYI0zj87KYKImt7OEwFx/nh2f0tXRs0OLxcf99fzq+7s8UqiIGY7iow/PhDKdQOAZB MTtgrfCvpn1yP65+78IFJn/AkCRR1DjQ6ipNfX8evjwdTnuVP4yvvLwaDazaJUBfr+uwiu8P j1Dd2+P+H7R1QO/+5e+h9ftKhtHV8ViwafBHVVj8eDu/7D8O9fgYxPMPUAgfj+/7ng5Tawjg /Pjf4+mb7PWP/+1P/+6Fr+/7J9lSjzavnkrhT67tAPnqzH54fjmT2hut0aRSLaLhdZ+Nvm6T UM+KEiAT21CCoL+v/m41IH54ftufFX9cagemZp2NR2xcXwHT/J99b/+2Pz3/6MmqkBVDj85P cDWbWI+yNIitMd9/HL+jHaVr2lXQM23s6H1B9n97Ag6kSQhDPCcpxwnzvqz+uIvbBRs41/NK cIsWdOsFe5mmHobbKWwBtl3yG+eiHPSZaKLF+/7h2+c7dhhGYY+p+/aPL02/5I1u4eFlI5z7 E5GVoVfIu688DqnfijqLqIB25pAj3p5Ox8MTcaHUVHILpueWO7xy3S39+GrYYTnzlwn/aN9f Ct7nf1ns0P8TQwpxMjm/z0oY63UQWue9KgmL+6IAkcML8jhN8OZpt42SLf7P3Vd6Yx1jxkbr l51MQ4TxzsNg95Q3AQaH5rs056z/iFUvkq1KZHT85hLTj21Xoe1sWvsAk6Nn8018SnsX86yC yJXP+QuIKAyU4/UdvaIWRVXAPpMpp4xmZtC8qsBMXRKrqrFLAAy6yAfSlgRFnM5mHeHAFtVN WBZV92cNgcyDa1kKV9mFeBsrTBebB1HQYdRBfMwp6rCtCvlgpxkgs7RWYbLOhN/KC2ghZPD4 C+kXbGJ5nIc9E41/oT3lDCHbE5tO31mhxfGnH5dP7xtbgo1cpeU6uN9laWS//TEi3xcZ9wXl 9R0HSZTeURsn1GixYFw4AHRgKEXOsKXKaquuB7k+6YvDebnLF+swsgLHGeTKaa1duRdn3E2m 6gsmXq5bGc5jULCsT5jQcJ0cHG9ju6umxC1NiSLd0XbL2PZkU03IC46TdHZL9BPxdICsxhNn A3xMLX06AXDs6QcFTfOrXOls+LhuXpUlm3beW+Wgh9Yiilj6FCYtdjB9Tj5jkxDVW8HuEfA+ CoYmYmfAYKFxJeFUEOMYrDNK03VFXjCv8FUOyvosD2A/CCwzmd4HzFanH5R434+P31TgMtTZ mp2P7Bxyp6MPgW2cyvD02oWc9Ycssggno8mArRRQV30W4/leoPJoMqVUwiL2Y25uQoq6s156 U8y244BKW3PVrxXnlYn4Vrwf3uS4OucNNdjF8fPEJQyGGoNNiVcLE2K6lj938jqdTv888mvK Zi3LB0hZyLt0FCt1lQWr/ScEcVnxWQ9ritIOXNlcbsSaoCg7vBhEGM1TXmMKYWQrbufQWu/r 8bzH3BZMrpkA/bEwggVV8AL1XHSXa4Sq5v31o3UQLFKv92vx4+O8f+2lsCheDu//apJCMz4K IL62cCzPBe9tIp2V2c1VKjeLPLit3zurn73lEb7xdqS90iiV/12p2GkCHRI0OAslyoIchZNI POojSwnQIVQGZLB0mIagzl/YGn7TzpaPT9MldUwgd2pblMumo8HfZ8yHrmJxtqtRxJhwVoV5 oTdmCuXmnLWxdV7edkG1+Hl+VRR5iRns+IeTmqSIJxM2HZ3GG18zssMDU+bkQjOkSDw2qZMS XcANdOfNuR0P8GsZFBKDqFiV6dvVwDfVclirMXWKygIZpyYZdthGdMF5LAYz6ww3j73BpN8Z po74K0qS3cgyScnzY2lQYhtyStV6692sB/2BHXI+FrOObLoxenEMTF5AWgLhnSXoE4VyPRtZ L/gBMBeTOo3DP7YSDa+tcGoAub5m7ZEenncHbsplTP046kpi7mWjMZs3HvTP3dfBbKZr09BE VPZ2XOcN3IUWYQPfWHBMH+x7/dnAamKTVFj4nBJjEtvGTtdkXluALzO+3GYxHfR1D9SYv75/ B4lMBPfq8KQTakg7n1Jq7AcTmvcUw0v3I86Vli4S8xSjyEzdbr2aaWsbEz3JOjjNg5blDMNa KPZ57DKH9TuM85j5dcb5DQBiTFNhxdPhaDR0OGnSEQYNUbMhuzC8bHw1nPxRh1Xe/9/n/u3x R20W/B+amHy/+D2LIlvPWaLJ6+F8PP3uHz7Op8Ofn2jvNDTZy8PH/ksEhPunXnQ8vvd+hRr+ 1fur/sIH+cI/sT3W4mg5sD27yDQv7/MUBFC3JavUJB2CKCyX2p9Dsd/n6+HpcP7RboW/KgfW ui/Cq35HllpEDduWrhCG74xOUK/7h4/Pk0qE8/l2OFu8so63U951Lkw2GLNp2sf0yfbWyVpX 6YEQzvDUPHwDA2jlRBXRCB/REUDmF9eWm8l8NbAenHnxaDigL0YRYN1bgwyxLjDj0XRKnwEv s6HIYKREv7+wthA08Q7YwIt084nclwwKnqkYuBpxUwg7cgsoj/3JkD6o0wtbe1U2nl9l7kQJ TTO8TuRWVQYfGfYRaW0woxG93C29YjQejB3A1bDdFGnRnroW7fGkIxfNxkuiMWdb7TB3myle g5JErn7Eun99TZkiFktgkj47yoBLghIOyiWoGiNqgIy90WRI3/LqdYgl1DrkUWjSddBaE0F0 ffvz9vj98NZtwadbQOJFYVI38TI3KRPlDo7l5hHXRaO7JWTQFJHnVVaaHadD05Nua+6ulGHy qs8TK/iy4axL8HW9rINTxWBAJhV+j2xAMZlakyx/s1ue/AYP1fQNe05AI+Al0hvejjg3Stnp +PfhlRW0xfZ60gjkcv/6jpsOO0BxtL3uTwfWPUsZZ04+kRqVlJwKvokD+oIUfup0Be0jDZJ6 4nrgbamjNULLIhyM6xtKWceRffixiUOkB61tQr/YdYhCWjzCWd5kaLYKU05LtByX4YfrKIkg L7eeYyAIw3wsSi74FWKjjDKBgdhuCg20FfYDUdLNejaxGwLaok0FADTzkjNNfuutQmIPC+Ek u7bDuciLnB2msx3a6T50BMQwS72SffcKbByUJDVwU+eCuj7Dj91CrAPnzgTBsJI3oegIjw34 uzwsAybLrkXE2BLVElnd94rPPz+kEaPhCBO2BtBkOFf3aNzaDWdJvFsV1ExqoeBMSxh37sW7 dZoICdYVNnyBlgVPsOZfb26pocr9o92B/emv4+lV3hKDsn0AxbH9hi2nRrxyVSU+RiiN6ty/ zQVeozEnfp6yz6+jcJ5s/DAmi2Ae4YuZzS6LaQqaxEeEdeYtOYN0slHFlKqsY9Uxpg7fukqE nxjulp9xk5wEKo7Z0ZUXTPm8IhYhz5/TyA1h4RVwwJsvSqgusT7doPgLyTRdRgGb8El3ES9g JcdR1dcT3irY3eEjWOXbbZmEhhiB9tUB7LaiLPMWHbBVEWJU+aiNKgKvym2P8W05ssLbakBH LaPOWsZuLePuWsYXagkSeWkb0jOnKUJwdiHHwfVm7g/tXy4FVBbP5Zg3sDwIQaABhnakBgKp /VqsxsgIwWGy4C8zSa1qwhh+vFEffaW/mZG7sUet/gTCu+IKyzKob+HLLdKvrfNJ/H1bgWZG K97SdrC9Qwr2xnJr2tR8crkoNB832r6nYGzd81ING69ohFG7qJncoTOJEoCj0IaSZdQIEI1g u+7QcPMhcZJfLraPZWccNrG1frNrCM39VmdCEDp446F8xevSSVqGC7LGfBcQKoBRgUxB4dIZ iBZPaP6Mw6KAxlsX0JKH2BmTGPSBwHdHSp9fOEZzSumVpL8GImOd06dBmFJ8UYwtVl5UGNqC uoxbYQ8wAnAk7hWF9gp7fNlbJ5xFIWVDS3h7/hfQM373N76U4y0xHhbp9XTatxdzGoUBafJX IKIzV/mLnfs7iWpl2U+L3xei/D0p+U8uFFdTZaGAMjznbWpqUto4+GOspQwTrYxHVxw+TFGP AoXuj18OH8fZbHL9ZfALVf1bq1XpKB/7z6dj7y+u8U1w9UYpQtAaLYCcroxIfKNGmUMCseEY tiK0HhBKFOi3kZ/Tu9h1kCdW2HZbhYfzTesntwoVoiU+VtUSmHzeIbg0VjaYvSnFP45wlq8q cIVDQ8vAToUo/G4hKRYtnBEgUvI4jFMDQXMqCunExR3ojXBturQoVHwG7kvzwOmMBJitoRH2 nS11ZPnNot5GHIiutN+CyzNC++KowePTFpAKIN3YYVSERQXaZM69K6orchSyGk55p/15s4Vc +LZJ8QDSFi1kKHQ72/HVeaemoNFX7h5Q4WRChXaRvJqHfCI6QHQzXZQuOzBeLmJ2jovbShQr mxkNTO1sLXHMUvmhnbqvxvoYwyjbYcifyM7u4VDI9wS8wZmjxF2Qf25akzs8UcO/2qHjDTj6 OmahKdvq7dfLbR3Lk9lcuod8vTh+QTyHMxW1DDRDm4tlHCSlmgQVV7bOkLpxFck4TIDXKSSN HZJV5gBuk+24JVUAOO0SCnmrTgXBx8F4m3uvgylQdd0hiEv+RqNVUVpysU0VGSZRcz+kXJq4 sb4vNvZO7/RB/VbiitZYcfo9uWtPu4ZJO5w6W4dBRvaPOjQxv7tHRa0g7EBB4L5GSTDO3o+O 4ldX3LWDRTKb9DuLz9j7a4fEimfp4Pj7PJtoynueOkTcPYVDQoxBDmbUiRl3Yib2lBHMtLPM dedQXI+4FzI2ie177hT/6URcj7u/Prvir2uRCHRkZMEd90rBqmQwpPdlLmpgo0ThhaE9guZD Ax48dFtvEFx6PYof8/VNePDUZXaD6GZVQ3H9U4rBz9o6cPithk9s+DoNZ7vc7oGEVTYsFh7K Rxpzz4C9AHZNr03uwf4SVDRhYo3JU1FaIbZqzH0eRlHouWOHuKUIANM5NJIkD9hAdQYfQlsF 9civEUllpxm2+szn5TUkZZWvw2Jld6YqF/W9xnp/ett/7708PH47vD2TJxo5+tuG+e0iEsuC BHKQpd5Ph7fzt97D21Pv6XX/8WwindOTFmaj2pVWaE+l5qPdANSiTRDVW8C4VtYxVbMu6wcq YIFGmUxbRpU3HrLvcND7cj687ntwqn789iFb9ajgJ9Iw4kuHudddA5rZ3RJ04d/diRzzkGL2 NVFSLUXj46ooaxOdRoHeEquS6ll7ox6VeZiBMMC7m45QSXkgfFkxUPEqcFIVoCBABfM04uuQ Qii9S9i7StVpqg2sAgzzzxgaFSmcElDvx7NgjK/bOXcWDDF3J0BTU13PUmllKdwh0XDqDykb k+bAYneBWEvfNtBraStkBEnUYXIuMZiqAc/VTep0FcKq5+///Hx+Vsxsj02wLTEMZ8ofMlSV SCjzGXR+NJ3fwNAUbm80GMYtWmBQti78AsRAe7QNVjrmsgnkLTLUsro+kHuVnNsuvDpC1G+P O6g0n5sFOrCpikjM3ZII20Uwm4TFVAYKOVVxEGuk03WDuTApRYl3hFXBmzAUzSZuV72JMcdd 6yzXpsr5fOQa35lFVuGVDykIFFtKa35SnA3szL5EISMkO4nGwgW+SmmvR4ruqkmuSBxQRzTp KlYqXouy8+Ey6aFv1+e7kpmrh7dnGnYJzhlVBkVLYAhq5MLLzTaysayACMe3tTElzPChB2et 6STebURUBY11paHE8LGUkl4cd9Ho2ggbY8N3K3zhUorCGiplfaxRck2mFayBIdOYhqyzLQ6J 2xQFRENLmtF7fQrmy5iGNbldYNr9tq1LgTtvjCQabytYU4ksqxZgkPjunqcYCxuyDoLMiRtj Xhk4NSs3EvQ+rEV179cP/Rzj49+918/z/u89/M/+/Pjbb7+ROGLqa3kJ228ZbIOWDC6gBfYr DL1CefK7O4UB0ZXeZaJcuQQyPKfcDRyL8aa+++CurAFjZVKV1eAwtFe1pu2ULSa2VhTQCpuy +O5VZGG96xTOV2FtggoY7OwdSU6n1PAYcax2gM4Wwb8642irPWHBCcBQIjrrK5btMvLmJ7y0 EXp5gFnJQtFcXMC+17H3y/lCNMPeGd4wyD2zpaU4Y9foakBMcZy1BkhQ6sNAR1G9TocDim+N PwKD20umFz0DcmZBmUFbG+8UYAZwF+S59Jq7Udocdzmo7loMBb2ACyN7n0eI0qRaa0KiYrHG QKS3FT8okgZduPVwtIrL2KsXSy9wudoFrdbXai5vKQZVPvHu+QeQdbxks93mIWwQeEsJqlJ2 rwRf0ebVDkLmC5KkWXrt4HhyC19UieqKJMq7sMtcZKt/RLPInNWvdA59mloYNuxG7u7CcoXh Mgv3QwodS1VSJtLLfYcE787kEkBKucJalcAypi9w1PtIXZuqmixJ+UHPlvEIRDnYjGfDHrJA a/PJP9/kgbHcf5ytU2+09kviU4TjJqUX6BN2xfNmFkHydoqBeQnavjP8UsrAfr5rcI1nl9LN NbC5V5O7wHRci3mOf4v7BIZNhP7UqVT2YhVs/Some4iEIvMmyzqpOfW5RPQa8GXKPYSR6ByW y0o+eSc9AGEb+oGMWT4YXY9lPmmtGpuxq8IItJTUK2y3RaQUl1+Ry/lYc16NElUvwlZP5hkX eUCijOeUM2CVMT80J9Ig7hh7PZaihDXjJs0oMAoWG5WRaOxL37pCw9+8qqaEDch9aAznBTOb 1vnAUQGtrDyEgcije21d4b1rMMBDiXxyYfvJU190uFwYy0GJjzqrCF2vE4579C6/dRjVTyvg JXXgdDXMaL6IKmrIUg9RHZcf/Tq1zC2HNjnQGDexQ+5i3Eqc7F15nwW7/nbWb1RqFxf4jRZu 4zTDDHlskiZ4i9V49Rksfo4ZIoIPbHdAg1DfY+ehpsGvsuNvPCxIE6FfrqIhjXF4hum4X83E hcWK98YxBm8EnRwEQHJJpZF7QDejxCFjVkFmrY/GuPJQcq6o72lDsciIyTirQBxJmarZp04D +vh5Qv/1ljFTrml6AgBhCbsC3lECCkUo64nQlKx3qgpK+Q5Uu2W14OaeHoOqFtK3Wa7+NkEb suCq0bdz1snQ4PD0w0scQwHDld53HCANjciAW+KUsz/WNPcitnz+cDtcuu4IDp82I0GjB7vY P375pZ55UHqlmkxfSMkN0omcI2FoL8nuXeg2zV1QdutC1H6LysqG+H/JKEC1ifr04/187D0e T/ve8dR72X9/pwlkdcggES1h72s6Z4GHbbhl4CPANuk8WnthtqJqootpF8KdnQW2SXPqANjA WMLanujiMvRxcEdQQZnOdzZbdHU1t+LeKVgsErFkaDV8SLlUo1DB4JyorII7Pyyk8dQ5kGuq 5WIwnMVV1EIkVcQD2/3M5N8WGJc3nJ+qoIWRf3ymR7HCdHdKVOUKJFSrRnvrNsTo+qG0yXa/ oyrQOJTMZnmIz/PLHtTxx4fz/qkXvD3icsGYe/89nF964uPj+HiQKP/h/NBaNp4XM51aepxy ZIqsBPwz7GdpdD8Y9SethhbBbbhhag2gGGxk7Wcdc/mU9vX4tP9oN3DeHjqvbI+Ox3BK4M1b sCi/Y5qWwWe6e7wtm2R6Dx8vdUvdWrxYXKhlFYv/7+xKltvGgeiv5BMiykrsIwiSFmJuAUVJ 5oWV1GTRwc6UM6lK/j5oLGQDaCipObJfEwRAbL0ibsoZ2vcUlXQMSnJxwUreintI8m1GdJIm 23vdw3GmQaIfNF31Rq3m15URIPlh87rASc1DxJZBjS1YBdNlJ0eVA/Sp5M0NNRULMvmsA3fx AibUiIREVjg4yC14TbHJbomvAJBwNlk5sh2ZynTBt/jWCzdt9mxDEudhGMotMUoUqD5k4PTn FNduk10rZDM3VBSg9xWqZqrYeFm7l5u7LOrOU7/bxFQ9FmY9UiD3qRurZmpd/v3qpw5ym3Q8 0RVtHRYxtBQd/03WjjkZBO9wyW+iaquT0akSwz4JREkYQtxWNv4bcG9EXSeutw94bCl/xaq6 QfUCO57/10sZ8Vb4Dtjz3c03MRbPZ01FNSIZ4mGnqddeK4jxoWjbuSzK1DsVfRx42LOJOCYO kPyPmsCGnmyP3TeTQOpFfeVfTJS9SUQUTWiDqAlf/vm/OeYrHYpYshTPoWQx7dRVgjgFW3pq tDg49SUPnrcn7OIS8HiNWtxdILbc5OgIe04druvg7jqfYfJzPNsTxdRFNbi9yYjJXU9X/oQC 92sCrw/P/3x7etX+ePr46cUlGbng7CzL+jUIJbhTMkQhc50jZ6QR8jhiECO7RL0DGCfj4RBH VOQ7AdcKg4IC9Iq0SKDVluG5IMk4WCHlr5hlQm8S8oHsd+XsBvsUGIBjmY46TuroWlaEV8dR bJxTxhTE8J7FC5Olz8X+9m73k/NEFTDLkcwcOzw2TQlaEVCdGC3WEwH2Y15bnmHMfTaEKWE7 kBTPu9d3My8lWNPAEWzW5kIvYX//wIe3i2ebwaOjL4csMZ+1jPNd36z1/fLl2WRA0E5rgcXS +E5jdZFMxMaAZvPhiIKj1UMUtGYdWMTErIVvVTQfaW+zXLRMWlVxFbWmvnx8+fDy69XLtx// XZ6x0GPUIVhNkouDLCGDvWfqXFXfK07ZT3SFGZKKXaj8cJAt7x/nSnZNEEqIWeqyTaBteZjH g8A+6Q6CAGywCoDZANstljB9LkDRzPoYSpJXmm41RAzypj/zvbHTy7IKOMASWcGhRMd99LXw Y4mUoKKmniAj3BW28Q4efI7FHVWpwzh7UzMSqUCWoixOIYuaP2X+ePtnltSxTbMweUptXoB7 v0KR3q5PaleLhUjuCT9sLEDnCz1rZof7N7Q3JmuLrkm03vKoLXIJk1qHO1BNwI5Ph50XFmDY n9daaqrdtVGSoqlbS/6FqahkRFf7LlETRSf5zxOQw2erkVktQYaqM0aQSW8tg2C+KGvJTJLW qQU87Mcmj+oAzhhxzXL+jvhC4q+sLZ7vJ+G5zCxAroCMROqpYSRwnhL8XYJ+Ey8C2mfCv29S luBb1dWdJ2xhKpSKJ3OOr33P9WhuB2ekWdk8GzNaWYah40Itqnr1lcwzuw+wepVNSAJT2eyt atpJAneUCT0fxH3LwCkGAf04S+/d4j1ezOvOM3vC87Up19Z+bNuyUC72cT0kKx3/CI1ENakn SM6OCJ0ssNqkKFDBTe/fhqIeqgItPx1cp17eiwE8F7CtFxyKakGa511dB+gvJlqiGZDQZPas AAukb31zFtDfxqfTdt6BAQA= --envbJBWh7q8WU6mo--