Received: by 2002:a05:6902:102b:0:0:0:0 with SMTP id x11csp2987227ybt; Mon, 29 Jun 2020 12:11:33 -0700 (PDT) X-Google-Smtp-Source: ABdhPJyjH3BLEuYRUT6U6gENZWs2CUkiIZsgPHfVS/uxjs9eJKEABaixsIWp7kL9I3/FPPagQDrZ X-Received: by 2002:aa7:dd05:: with SMTP id i5mr19489598edv.283.1593457893334; Mon, 29 Jun 2020 12:11:33 -0700 (PDT) ARC-Seal: i=1; a=rsa-sha256; t=1593457893; cv=none; d=google.com; s=arc-20160816; b=QyVxk35SjxuhpNr9z4Xz014S0R3hxWYwuAz0GhNN4pF0GmT+B2e2MEtuvR33mLoTMX LBqB/U81ABOqdW9ICJk022Xkqg5Ac7/vGi1tcSTpL3ZZOBurbaWo2DipPxhouqSD+R6w JYqMFGk+XHiuEE4Ckr4cGOA1f3Ep2yA5ki2BzVolDZWzFPubZum0vkK7yPi9f4Tx+cH3 Jxdr7kVsbUlWyZjV5A71jh4GEdn5CFrguLj+EzFGC7Dbu3zqRjkJsCprRh6O/8qsGnfO aVgoVY7NDpcHHdTGV24296aFM7/Sx3N7zWrSg98QYT4Eq9wweP5OI9byygdg1r/Jfk+O eOYg== ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=arc-20160816; h=list-id:precedence:sender:user-agent:in-reply-to :content-disposition:mime-version:references:message-id:subject:cc :to:from:date:ironport-sdr:ironport-sdr; bh=KrxxqiCznLe6V5WX5GQXh/X2cZv9y4sNvoKFUHTOKd8=; b=S5bE2dH1xCmi/hY/rZddtl1EQ1T9LuuStUXU/zfIilQKes2fpNONDEj3Kvqxxfy7LI hbJRrvzPMGJlRSJ7aXDyUylK1mTmLiDNLSP5Vv7yBqJmE2PElYs9tYsAAh8JbhsrfWIp 2ZEK3jDQ+QrXn6YRN+/s8pTkS3ZiIDl+yiQ6JA75hd65ClUCdpNHy8arhxs8eq1y1q7K QhbAbuTda7zFo0AxxkbLNpfMSrqVKPD8qM8eaqDqzwGpWyKc+JF3VZPKTVxvlLcZRUrA OKtsdpaFJBDhdm+GWKbVchvJMWBIyyQHccB5ZoCBOoKDcDepyOyNiCNIE5g/I9zfF0FL CuBQ== ARC-Authentication-Results: i=1; mx.google.com; spf=pass (google.com: domain of linux-kernel-owner@vger.kernel.org designates 23.128.96.18 as permitted sender) smtp.mailfrom=linux-kernel-owner@vger.kernel.org; dmarc=fail (p=NONE sp=NONE dis=NONE) header.from=intel.com Return-Path: Received: from vger.kernel.org (vger.kernel.org. [23.128.96.18]) by mx.google.com with ESMTP id cm10si251699edb.208.2020.06.29.12.11.09; Mon, 29 Jun 2020 12:11:33 -0700 (PDT) Received-SPF: pass (google.com: domain of linux-kernel-owner@vger.kernel.org designates 23.128.96.18 as permitted sender) client-ip=23.128.96.18; Authentication-Results: mx.google.com; spf=pass (google.com: domain of linux-kernel-owner@vger.kernel.org designates 23.128.96.18 as permitted sender) smtp.mailfrom=linux-kernel-owner@vger.kernel.org; dmarc=fail (p=NONE sp=NONE dis=NONE) header.from=intel.com Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1730477AbgF2TJ7 (ORCPT + 99 others); Mon, 29 Jun 2020 15:09:59 -0400 Received: from mga17.intel.com ([192.55.52.151]:62620 "EHLO mga17.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1730773AbgF2TJy (ORCPT ); Mon, 29 Jun 2020 15:09:54 -0400 IronPort-SDR: hG/p9pv+3j/crxQ5ngDXCPzM5Vhsr8ZFeGY9MwpaRTjQ1VWSW3+CjvnnO9Wrdh90J0L1L4VBrN ev1tj9edtc+A== X-IronPort-AV: E=McAfee;i="6000,8403,9666"; a="126151450" X-IronPort-AV: E=Sophos;i="5.75,295,1589266800"; d="gz'50?scan'50,208,50";a="126151450" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga004.fm.intel.com ([10.253.24.48]) by fmsmga107.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 29 Jun 2020 10:12:55 -0700 IronPort-SDR: v/rAAz3TUWsdqYIHk7hr17kzICT9YWGRT9ckXp7uu6eAX4HxExw2a79VPTIiEW7PurjW2p0Hug kXmXrGPO9PTA== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.75,295,1589266800"; d="gz'50?scan'50,208,50";a="303140928" Received: from lkp-server01.sh.intel.com (HELO 28879958b202) ([10.239.97.150]) by fmsmga004.fm.intel.com with ESMTP; 29 Jun 2020 10:12:53 -0700 Received: from kbuild by 28879958b202 with local (Exim 4.92) (envelope-from ) id 1jpxKu-00015W-Df; Mon, 29 Jun 2020 17:12:52 +0000 Date: Tue, 30 Jun 2020 01:12:50 +0800 From: kernel test robot To: Luc Van Oostenryck , Andrew Morton Cc: kbuild-all@lists.01.org, Linux Memory Management List , linux-kernel@vger.kernel.org, Luc Van Oostenryck Subject: Re: [PATCH] sparse: use static inline for __chk_{user,io}_ptr() Message-ID: <202006300100.ATfFHBBj%lkp@intel.com> References: <20200628072019.67107-1-luc.vanoostenryck@gmail.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="Dxnq1zWXvFF0Q93v" Content-Disposition: inline In-Reply-To: <20200628072019.67107-1-luc.vanoostenryck@gmail.com> User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --Dxnq1zWXvFF0Q93v Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Luc, I love your patch! Perhaps something to improve: [auto build test WARNING on next-20200626] [cannot apply to linux/master linus/master v5.8-rc2 v5.8-rc1 v5.7 v5.8-rc3] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Luc-Van-Oostenryck/sparse-use-static-inline-for-__chk_-user-io-_ptr/20200628-152401 base: 36e3135df4d426612fc77db26a312c2531108603 config: i386-randconfig-s001-20200629 (attached as .config) compiler: gcc-9 (Debian 9.3.0-13) 9.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.2-3-gfa153962-dirty # save the attached .config to linux build tree make W=1 C= CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=i386 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression >> arch/x86/kernel/signal.c:337:9: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void const volatile [noderef] __user *ptr @@ got unsigned long long [usertype] * @@ >> arch/x86/kernel/signal.c:337:9: sparse: expected void const volatile [noderef] __user *ptr arch/x86/kernel/signal.c:337:9: sparse: got unsigned long long [usertype] * arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:337:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void const volatile [noderef] __user *ptr @@ got unsigned long long [usertype] * @@ arch/x86/kernel/signal.c:397:9: sparse: expected void const volatile [noderef] __user *ptr arch/x86/kernel/signal.c:397:9: sparse: got unsigned long long [usertype] * arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression arch/x86/kernel/signal.c:397:9: sparse: sparse: cast removes address space '__user' of expression vim +337 arch/x86/kernel/signal.c 75779f05264b99 arch/x86/kernel/signal.c Hiroshi Shimamoto 2009-02-27 302 7e907f48980d66 arch/x86/kernel/signal_32.c Ingo Molnar 2008-03-06 303 static int 235b80226b986d arch/x86/kernel/signal.c Al Viro 2012-11-09 304 __setup_frame(int sig, struct ksignal *ksig, sigset_t *set, 7e907f48980d66 arch/x86/kernel/signal_32.c Ingo Molnar 2008-03-06 305 struct pt_regs *regs) ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 306 { ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 307 struct sigframe __user *frame; 7e907f48980d66 arch/x86/kernel/signal_32.c Ingo Molnar 2008-03-06 308 void __user *restorer; b00d8f8f0b2b39 arch/x86/kernel/signal.c Al Viro 2020-02-15 309 void __user *fp = NULL; ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 310 b00d8f8f0b2b39 arch/x86/kernel/signal.c Al Viro 2020-02-15 311 frame = get_sigframe(&ksig->ka, regs, sizeof(*frame), &fp); ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 312 5c1f178094631e arch/x86/kernel/signal.c Al Viro 2020-02-15 313 if (!user_access_begin(frame, sizeof(*frame))) 3d0aedd9538e6b arch/x86/kernel/signal_32.c Hiroshi Shimamoto 2008-09-12 314 return -EFAULT; ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 315 5c1f178094631e arch/x86/kernel/signal.c Al Viro 2020-02-15 316 unsafe_put_user(sig, &frame->sig, Efault); b00d8f8f0b2b39 arch/x86/kernel/signal.c Al Viro 2020-02-15 317 unsafe_put_sigcontext(&frame->sc, fp, regs, set, Efault); 5c1f178094631e arch/x86/kernel/signal.c Al Viro 2020-02-15 318 unsafe_put_user(set->sig[1], &frame->extramask[0], Efault); 1a3e4ca41c5a38 arch/x86/kernel/signal_32.c Roland McGrath 2008-04-09 319 if (current->mm->context.vdso) 6f121e548f8367 arch/x86/kernel/signal.c Andy Lutomirski 2014-05-05 320 restorer = current->mm->context.vdso + 0a6d1fa0d2b48f arch/x86/kernel/signal.c Andy Lutomirski 2015-10-05 321 vdso_image_32.sym___kernel_sigreturn; 9fbbd4dd17d071 arch/i386/kernel/signal.c Andi Kleen 2007-02-13 322 else ade1af77129dea arch/x86/kernel/signal_32.c Jan Engelhardt 2008-01-30 323 restorer = &frame->retcode; 235b80226b986d arch/x86/kernel/signal.c Al Viro 2012-11-09 324 if (ksig->ka.sa.sa_flags & SA_RESTORER) 235b80226b986d arch/x86/kernel/signal.c Al Viro 2012-11-09 325 restorer = ksig->ka.sa.sa_restorer; ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 326 ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 327 /* Set up to return from userspace. */ 5c1f178094631e arch/x86/kernel/signal.c Al Viro 2020-02-15 328 unsafe_put_user(restorer, &frame->pretcode, Efault); ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 329 ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 330 /* 7e907f48980d66 arch/x86/kernel/signal_32.c Ingo Molnar 2008-03-06 331 * This is popl %eax ; movl $__NR_sigreturn, %eax ; int $0x80 ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 332 * ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 333 * WE DO NOT USE IT ANY MORE! It's only left here for historical ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 334 * reasons and because gdb uses it as a signature to notice ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 335 * signal handler stack frames. ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 336 */ 5c1f178094631e arch/x86/kernel/signal.c Al Viro 2020-02-15 @337 unsafe_put_user(*((u64 *)&retcode), (u64 *)frame->retcode, Efault); 5c1f178094631e arch/x86/kernel/signal.c Al Viro 2020-02-15 338 user_access_end(); ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 339 ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 340 /* Set up registers for signal handler */ 65ea5b03499035 arch/x86/kernel/signal_32.c H. Peter Anvin 2008-01-30 341 regs->sp = (unsigned long)frame; 235b80226b986d arch/x86/kernel/signal.c Al Viro 2012-11-09 342 regs->ip = (unsigned long)ksig->ka.sa.sa_handler; 65ea5b03499035 arch/x86/kernel/signal_32.c H. Peter Anvin 2008-01-30 343 regs->ax = (unsigned long)sig; 92bc2056855b32 arch/x86/kernel/signal_32.c Harvey Harrison 2008-02-08 344 regs->dx = 0; 92bc2056855b32 arch/x86/kernel/signal_32.c Harvey Harrison 2008-02-08 345 regs->cx = 0; ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 346 65ea5b03499035 arch/x86/kernel/signal_32.c H. Peter Anvin 2008-01-30 347 regs->ds = __USER_DS; 65ea5b03499035 arch/x86/kernel/signal_32.c H. Peter Anvin 2008-01-30 348 regs->es = __USER_DS; 65ea5b03499035 arch/x86/kernel/signal_32.c H. Peter Anvin 2008-01-30 349 regs->ss = __USER_DS; 65ea5b03499035 arch/x86/kernel/signal_32.c H. Peter Anvin 2008-01-30 350 regs->cs = __USER_CS; ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 351 283828f3c19ceb arch/i386/kernel/signal.c David Howells 2006-01-18 352 return 0; b00d8f8f0b2b39 arch/x86/kernel/signal.c Al Viro 2020-02-15 353 b00d8f8f0b2b39 arch/x86/kernel/signal.c Al Viro 2020-02-15 354 Efault: b00d8f8f0b2b39 arch/x86/kernel/signal.c Al Viro 2020-02-15 355 user_access_end(); b00d8f8f0b2b39 arch/x86/kernel/signal.c Al Viro 2020-02-15 356 return -EFAULT; ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 357 } ^1da177e4c3f41 arch/i386/kernel/signal.c Linus Torvalds 2005-04-16 358 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --Dxnq1zWXvFF0Q93v Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICIQc+l4AAy5jb25maWcAjDxLd9u20vv+Cp100y7a61fc9HzHC5AEJVQkwQCgLHnD4zpK rk8TO9eP2+bffzMAQQLQULldpNbMYPAazAsD/vjDjwv2+vL45fbl/u728+dvi0/7h/3T7cv+ w+Lj/ef9/y0KuWikWfBCmF+BuLp/eP3nX/fn7y4Xb3999+vJL093Z4v1/ulh/3mRPz58vP/0 Cq3vHx9++PGHXDalWPZ53m+40kI2veFbc/Xm093dL78vfir2f97fPix+//Uc2Jye/+z+ehM0 E7pf5vnVNw9aTqyufj85PznxiKoY4WfnFyf2v5FPxZrliD4J2K+Y7pmu+6U0cuokQIimEg2f UEK976+lWk+QrBNVYUTNe8OyivdaKjNhzUpxVgCbUsI/QKKxKazMj4ulXebPi+f9y+vXaa1E I0zPm03PFMxK1MJcnZ8BuR+brFsB3RiuzeL+efHw+IIcxmWQOav8TN+8ocA968LJ2vH3mlUm oF+xDe/XXDW86pc3op3IQ0wGmDMaVd3UjMZsb+ZayDnEBSDGBQhGRcw/GVnaCocVtkrx25tj WBjicfQFMaKCl6yrjN3XYIU9eCW1aVjNr9789PD4sP/5zcRWXzNqinqnN6INzsQAwP/npgpn 3Uottn39vuMdJzhdM5OveosNhF9Jrfua11LtemYMy1chy07zSmTkMrAONATRjd1MpqArS4HD ZFXljwGcqMXz65/P355f9l+mY7DkDVcitweuVTILRhii9Epe0xheljw3Arsuy752By+ha3lT iMaeappJLZaKGTxLJFo0f2AfIXrFVAEoDbvXK66hA7ppvgpPFUIKWTPRxDAtaoqoXwmucEV3 h8xrLej5DIiDfqL5MqNAYmB7QGEYqWgqnJfa2HXpa1kk6rGUKufFoPlgdQNBbZnSfH61C551 y1Jbcds/fFg8fkykY1LoMl9r2UFHTogLGXRjRS0ksUfvG9V4wypRMMP7imnT57u8IuTMKvfN JLYJ2vLjG94YfRTZZ0qyIoeOjpPVsL+s+KMj6Wqp+67FIfvzY+6/7J+eqSNkRL7uZcPhjASs GtmvbtCM1FZsx9MLwBb6kIXIiTPsWokiXB8LCyRfLFcoGna9VLSLB2P0bVrFed0aYGWN7KS4 BvhGVl1jmNqRCmegIobr2+cSmvuVytvuX+b2+a/FCwxncQtDe365fXle3N7dPb4+vNw/fErW Dhr0LLc8nByPPaO0WrGY0OQIdb6yR4GrmlU4Kq07xUnSTBeo6HIgQa6GJEL/QRtmNL0eWsTw Yfn/h4mPhwOmLLSsvNKzC6fybqEJ+YJF7gE3iQD86PkWxCiQNx1R2DYJCOdkmw5STqAOQF3B KbhRLCfGBEtWVZPMB5iGw/5ovsyzSoQHDnEla2Rnva8DYF9xVl6dXsYYbdIzYbuQeYbrGspP MtreOol1Ru5evPqjpl27PwLdux6FX+YheAXM3YEcvUF0+0ownqI0V2cnIRwFoGbbAH96Np0q 0Zg1+IolT3icnkfGvmv04Axb+bfazQuTvvv3/sPr5/3T4uP+9uX1af9swcNkCWyk1q9ZY/oM VT7w7Zqatb2psr6sOr0KVPxSya7V4YqDQ5PTZzSr1kMDEu1QbibHCFpR0KdywKtixvUc8CWc jBuuaJIW3K6ZQz80L/hG5LRmGSiAyaxe8XPgqjzeCRhokgBdWDDvoL3o9iuer1sJ4oMWAhwL eqROXDA+md8PsMOlhpGAMgUXJd4Tf+p4xQLPCDcYlse6ASpwx+xvVgM35w0E3rkqkrAHAAcx BcDSeGLC2DAnJqWDB4uiAodMSjRgwyGfljLvZQu2R9xwdLXsnkkwL01OufgptYY/osjBRQzR 4RXF6WVKA2o95631+KzWStq0uW7XMBawGziYYO3bcvqRmoakpxriIQGCHnideskNuu795H0l gjAgiKmXK9ZE/oqLhkbvJFJq6e++qUUYI0dbkMyW1ioMPN2yo0fWGb6duNufoD+ChWpl6Glq sWxYVQaiaydhAWOH1nssqeOgV6D8AvdYyMiVkX2nEv/FUxYbAbMYljhYM+CXMaVEuFVrJNnV +hDSR27zCLUrhEcVg7RwRCAz1LaGIaiywTM5W2smMH0zDRK4NeA7g9YJDrTm78NOrWqzULJP 4MWLgtQ27gDAkPo0CLBAGG2/qW1EFWDy05MLbxGH3Fm7f/r4+PTl9uFuv+D/3T+Ag8bAKObo ooH3PPldZF9u/ESPo2n9H7vxDDe168P50N6h92pF1i0DQ6zWtI6uGJ0i0FWXURJaySw62tAe 9k8tuc+TkGLdlSX4GC0DsjBiDeIDWYqKlm2rxaxFiiKVOCnnibfvLvvzINMFv0Mzoo3qbBoA RptDPBycCvAVW3AXrYY2V2/2nz+en/2CudMwNbcGa9brrm2j1CG4UPnauYgHuLoOPFwr8TW6 QqoBMyVcDHn17hiebQPvNSbwe/sdPhFZxG4M6TXrizAN6BFOnUZc2c4bkr4s8sMmoAxEpjBS L2LjPh53dFxRm2wpHAPHosdMbmIARwqQE5Dxvl2CzATrbMcErpfzjVxACL56EANj/OBRVkkA K4W5hFXXrGforMSSZG48IuOqcekVsFlaZFU6ZN1pzF3Noa2XbJcOos5VB0a0yg44WJHSXnHA kBId5YS+13V7AKvYza5f6jmWnU3YBegS7C5nqtrlmDEKjVG7dIFCBboGLMwYRgwpeM1wy/Ag 4L7w3B1wqzXbp8e7/fPz49Pi5dtXF9VGAcXA6EYCh4L00g5mVnJmIDx3zmyMqlubuwoEU1ZF KcKgQ3EDZju6LcCWTi7Bh1KR94KoTCxhDMTIEMm3BnYYpWZyqqLWfgQz7UGzYU661TptyOqJ KRE3jH6BLiEkDbwSD3EiE89SFfn52en2QFIa2HDYv6ZgoecNkLPt6ekBtVAiGq2LB2QtQIOC pw7qARV2HCT5k7qD0wXuCvi4y46HoTxsHNsIqz0nyzDAjkQ0I4luRWNThiTZljfUNQRYz2QY LivZdphDA9muzODjTR1uVscHciThlJL6iHsKfy/eXeotyR9RNOLtEYTR+Syurmd6upxjCMoM XP9aiO+gj+NpT9xjL2jsemZI699m4O9oeK46LemwtuZlCYdMNjT2WjR4G5BfEjvqkeeRr1+D nZthtuTggCy3p0ewfTWzPflOie3sIm8Ey8/7s3nkzIKh3z3TChy2ekZ9HeQCvU5TDU7BWXSX fLoMSarTeRz4EMumRp82DDsnZYmBRS7bXYxDd7oF8+OSGLqrYzQchETh1+02Xy0vLxILIhpR d7W1ByWrRbW7ejvFnDbvi/E5r8DKRa420INldUOkIvwBbzcv8lI9BvT9IXC1W8b5/5EPrA/r KBXrKcAnbXTNDXO9HXDo6hwwc4ksS3KzYnIrKM25arnTdIETXYSxeGN9KN3DIMCLyvgSXNQz GomXb+9S1BBQHCAmgLM6ujaHpqim7kas2OEFe8/aA4mVBFBxBXGBS8hkSq5545I9eG+YGus6 Ns7O9QlCuC+PD/cvj0/R5UUQIA6SrVgbhOAh3joD8pqrMAqa6SCaMF+yfAdRYhgKDb+iCZxe ZuStsFudtsJ/eJgyMhKObhb42OLdOl0/XC5wKl2O12sTkcMxcteRk4rxwNnzM1FE52QCg5vl FE8Z5b3s5miVTtdaeDpFKvGGDLxfEjvgLiizPuAuL5bhUuu2Ar/oPMpMeegZ7dN49CntPMCR kWUJ4c7VyT/5SVxDM4whnn/L+OH8Gbp3Rmgjck10Y/2gEtxP4AYnlBHBjXW159FWRfoKBbx/ DkRbVCiYlXcU8YK341cn8Rhb5O0EeGa1W3M4MdT+4LJLjZkk1dlk6IxcuwtyvCS5vrq8GEXK qEhc8DdGOMKIucS/W2Tq+NilADVXyIPAQNdk3Yi1ZbVNak9prZI29prnGN/TknrTn56cUAt3 05+9PQnZA+Q8Jk240GyugE2sjFcKL2SDJCLf8jyyPYrpVV90ZDjVrnZaoH4GwVQo3KeDbE9J eG7TRyhtx9pbBwLan8VHQ5q26pbDHd8ARA2F7ngdoqPFcYF3iKVsrsuybAodJW3zurDZDOiF 1GmyEOWurwoTJc69dj8SOUfi5Y6fP2nDSJPTONA4vdKiMTHhbV/7+Pf+aQGW5PbT/sv+4cX2 xvJWLB6/Yo1gkNYcchpBlDgkOYabsUOEXovW5nYD01b3uuK8PYQM4f4UVtX2osni6Lir7q/Z mh+EfiM66iOJiZF7scFLmYJAuQF5eNjjcCVsKD8D0HkVRXXX753t7m2AIdCznc+Xxjka3INg Kw9+eQNvz4QGTSbXXZvsfQ2a0gzlXdikDTN3FgLSZ0DXukGiWQBWUzJzqhxDWrscSzK4d7za XLnhpJ0MGx6zU3zTyw1XShR8zJPN8eZ5UHwUIlg6o4wZsCu7FNoZE7vTFryBvuVcnyU7bGAY eaVhl0eGCtCCbCihOAiBTsc9RRS5XfZZdFzSEyMPhifaWsyNj9SCSWdsuVQgVoZgPdTIHLvQ GVYI1U3XLhWLPb1D7OxKxufRjTFHOQpTv26FJQRDoGhVAveTFTL27p08ZulugAk7GGreaYh+ QbmalaQdxkGMiw6VCNYVXjMFHlpTkV7LeApZy4OzHMOHa824C0SQAyhaU7qzS2ojgXfLsJ9R /WO2M7nKD7BBJcAhnnJWnMo4xqa//j4bJCuwgm9uuH6X4e8yir1Mqy/fXfx28v2RWocyDVl1 GeyBzT0ADfoEQddt5LkhAXgXErYY8xDeyFFCjOZGTs5xxMIWcBW0psN2Aiw12/VZxZp12hYv AK4x1onsna+dW5RP+/+87h/uvi2e724/u4gziuxRF80VoBGtR8biw+d98FhgmEGaWrCJ06Xc 9BUrivlCmYmu5k03k8YYaQyXs/34JC152hzKJ3RD92qa0ehwfdcJskuRvT57wOInUEiL/cvd rz+Hi4xaaikxBqE9Fouua/fzCEkhFM/JukmLZk1g3xCEPcYQxyGG+Y5jaN5kZyewou87oSKJ w+vBrKNcq+HiEDMnSQPqFidHdzxO1SBkpdyZpA5CJbZhg4abt29P6JTpkksyigVPt8niI44F KVkoCTMb6jb7/uH26duCf3n9fJs4woPPPyTXPK8D+ljDgy3BK1cJsZ/3vcv7py9/3z7tF8XT /X+jCgJeBG42/MCwfwKUQtXW1IDj79h5e1ALERkyALgyHGKFLC5nTV+zfIWxCl4FQbwJfk9V ZSx0ZsrrPi+Hgp6QfQj3IQ/R01LKZcXHYYccBpQm3ZYBiflpm35LfMsBjYWDstHyKCpIiR2j 8l0d0GzacENgkfxtqd9Ls//0dLv46Hf0g93RsHByhsCjD2Qhkp71Jghm8AKpgyNy42uAx9UE MvKM4G0XWGslycMGjttm+/Y0SEzjxe6KnfaNSGFnby9TKETRnR6r3X19xu3T3b/vX/Z3GLX+ 8mH/FaaJivUgqHR5gbj0xyYPEph36FzWN1wb6apIAloPQWdqtPvTYrjLb2Il/ujqFoxXFuar bKoshyHtNCa2ShPdGdoBTLFd19gEBJZI5uhRJ+EYXlTgay4jmj7Dx0MJIwEzxuoNosRhnd7Y OyheaVMI2dLwgQ34qH1JlQmWXePqZKyw0M9nNjyuvZteD1mOKwhEEySaCnTUxbKTHfEGAwJ/ Z9Tdk5Rk1Wz1B8SjmDAZ6kAPCTT3CccZpLOHfX2w6G7k7hWgqxPqr1fC8LjcfKza0H2xaxiq cmPLHm2LhO78LBMGVXafbiO+WKxlMTz0S3cHXFg4i5g3wYKKQYYGIxvRudI4cuPwUeJsw9V1 n8FEXaFvgqvFFuR2Qms7nITIOr4gdJ1qwFzAlkQVhmmhHSEnGCVhwsbWKrt6EduCYkL078vn 1LBEmE+k9pM6yRQ2LG8cyOq66yEChmh3CFYxu0Wi8V0ARTLInTsnrhh/uHJMBjNA3d3UDK6Q 3Uz5EL4odO+1/HNSYqpDnngonyIpcCEr2PUEeVDU4xX2UPgToQ/eB8Xo2XDYTkYYcD+GDbVV JOmuE495UuGVKBzh9VCklRq8sUAFjaVWeI1C0SEOyzLTJJpdbIvE7CnYQJU2hxPtL0Z4Dmci yDcAqsP0HKp+sB4ob4SCshh7VRAVv01ji4oDU/OzBWVDas641btYvmS782rPhKXDg9cfa4+8 wiotdArBgSsCarx702I5xMLnBwiWmI/RdUYNiXtKqWsDRsH4R7vqOihaOoJKm7uVJ5tTqGmt W9ij8zN/4xCr6dGMg62JbPUo+Kjcwrrc2Ru2oQK6502udu34Bm6Zy80vf94+7z8s/nL1wF+f Hj/ep9E8kg3LcKwDS+a9oeSW4VhP0argk370vURDVuJ+x9PzrBSsO9bRh6fbVphrrIS+Ok1O TLimw37Zd6uwwIzOxg1UXXOMwlveYxy0yseX+DMV7p5yJogf0Cjs+KLwGI1L6dRCa3znPL7S 6UVtrwGIze0aEEA4XLs6k1HN/6Bq7Au+9Dogq6LsNL640bnG7OX7uArOv8XJ9JIEViIqBJ+e 7hi+VMLQ70A9FdZ6Ugkz+8JruDGzJk2lfVxnVDbE8cVbuvBewE4OyxJbVqV83Oci/KFLEobu Quz26eUeRXdhvn3dh1X9DHxQ52MNF0dReg7ClWaiofPFYktTeJ2pywkfMa9Bkx5tygxTImrs pYLlNM9aF1If5VkVNcURwQc3Y3opvjP5rrIv1491qLuG6nDNVM3oSWAkfrxb/PbC5buj3QaS F/TgU4OJOIRCVr/HBFoseADD+FzIGGxTye5zCnJ6QxlIF7QT0t2lF2CT4zLlALneZaEf58FZ +T4cddzJFKw3QUlv1wyHAetnrdrM00L36TLSZa9UHXzLwWpz1xjOhLyOLmHUtQbbNoO0NnIG N1pY+9WLYirunUjmMWljdU03PYCPBhNzYHgpWbG2RYXMigI1eG+VMuVs+IdLfcZLfzUQf3Ih oLU3/f21AubhnKf7cysh/J/93evL7Z+f9/b7Pgtb6fUSyEommrI26DUGOamqjBMmA5HOlWjN ARgMTlyeIfEeKy0oGaRpbkB2tPX+y+PTt0U9Jc8PCwfIgqApizjUGtWs6cgLxqneyJEEDp3H pB6566q1H/gwBP2Q10mjaHwhvgzt5sAofHE/srIFFbaYwtUnjnVE1snNU11ly7cUxwNFF4cT 3zLJbdakTx+nrXbaSmZv+suLLPx2RgY+Zyiori5dokcfKFQdrJf/zo0NFtynLQp1dXHy+1iZ OxNATTdxBB6GfM12lPtCUtfuJWMkkRCTNrZSmFTZLKIF+3DwUCDFhS4CAmEITF/95kE3rZSR WN5kHe1G3pyXEN0QXd3o9Bmhh4zPaGqnV6J+PA2KJJUFH7JkNuPsc4QhA5s6s8uICbj1zMsD rmxtL36bImwM0g6qq8lXNYvfCgb4JUdBt9VytvgubG8DSLzyhmCytQWz5GXDqASRjw2TWRSM zGsRz6HhY4zU7F/+fnz6CwKVQNcE5yxfc2ohweAFAR/+Au0YXfFaWCEY7dVDmEzXAJaqtnqf rirlGK9SFQHCTWnax9a9sMYv0JCsgGCsWbIFylRiBYjaJvxykf3dF6u8TTpDsK2Cm+sMCRRT NB7nJVpxDLlU+Bqw7rbEMB1Fb7qm4cmr8QbUnlyLmS8VuIYbQ1dEILaU3THc1C3dAW5Lz+in PhYHEdo8UrRpXWaIHacbAlHgEpDJWw+O2XdFOy+glkKx6+9QIBb2RRsl6XANe4c/l6O0UWrc 0+RdFtpRb048/urN3euf93dvYu518TaJnf+fs6dpbhzX8a/ktPXeYXYs+SP2oQ8yRdls6yui LDt9UWU6nmlX5SVdSeZt//wlSEoiKdB6u4d0tQGQ4icIgADYr7pmZS/TZqXXOpzmePILSaSy KIBTcxt79H/o/erW1K5uzu0KmVy7DRkr8WAliXXWrInirB71WsDaVYWNvUTnsRDhWoi1qR9L OiqtVtqNpgKnKVOdFNGzEyShHH0/ntPdqk1PU9+TZOKQwYPS1DSX6e2KslKsHd/WhqSPYO52 z7ERjZCepOVRHIVZ6csLJYiVyRy3Z5Q3kIK9xMTTTnCHJR6GW3nS04hpwgdNSM0oPA09X9hW LN5h4pS6rADWwC25SoPQypo0ytv1LAzwfAwxJTnFj7E0JXjwUVRHKT5353CJVxWVeB6Dcl/4 Pr8SYkzpic5jlFLo0xKPRYTx8OcZigmWOiHO4SZN6A9Cq/zyL2MyxPRF0paEVlaUNG/4idUE Z1cNh4R0npRDop1Csz/4z4Gs9Bx+0MOc45/cc7+Eo1oaU7wzQJHOIccj8HEf1UNV+z+QE45x z8oMMKoSmZnNPGDPdpIpnSYJKiwrhuf7MWhIGnHOMBYsT1pIwsWFlmnlgtk+2EbHMmm/ovFV UhwBkVrlkLVl27vPy8enY/OXrT7UO4qvXblZq0IcrkXOnEu3Xs4eVe8gTJnamPkoq6LYN16e vbTFt1+UiIGrfCwtaQ8Eizg9sYqm1A6VJ8kO9qrlFqbGq0O8Xi7PH3efb3d/XEQ/wYDxDMaL O3EMSQLD/KYhoCCBnrKXOdZkLgojCuXEBBRn3smBoY6IMCsbQxxXvwcboTV9m1sZvEjEPLm/ aLlvfTlf8wQf6ZKL0y/Fz3UpxyY4DjugO04H6TJAYR96u4OoXKpSEw32noilYGNDqqD1vhZq eMfA3JtOvZm6vRJf/n39jnjPKWLGjRBF/WswHMM1Z5NugQ1kPiFAEoGLJGWeQ1BVo/yxhJha YPtc0uTItbZlO3Z/6CywtlenNB5ZphwARvZ1iQZp5x3MFCAIWkoqMirFS2zvSfoyoy55G5do FIwkr7MR+faEU0PiW7vvvky4gJNuqtyp3Gv9AVylEqd0kVB2dm0ZV1Aft26FkOKqRnMhATaq 7TkQwxllNgTsgsCxhgxxBpIVzeiDFa7RSlyEn0LyO9rLZWDW2lMO/FlHl1sC9v3t9fP97QVS OD73O8f6XFKLf/EQQkBDRuxRrs4eMcoLIOf+DGmezsPG/bj+9XoCd0doEXkT/+F///z59v5p 3LfJJXZyKopP8jPjtXiSKVMk0rcoVaj17uQOvdia7u2RPhVvNVRZv9/+EEN4fQH0xe3IYN3y U6mxf3q+QCi3RA/zAwl5h7rMnpAopkIxx7s8OLpPVtvfcuHrol8z9PX559v11W0IBPBLZzH0 81bBvqqP/7l+fv+Br0JzT560TFlTK0na7SqGGoiVz6YkGWGR+1v6ErTETmkDBR2vd932374/ vT/f/fF+ff7LvBd+hHwMZg0S0Ba4jqOQYoMUWF4gha0Ndqghbsh9Ga/uw42l9a/D2SZElz50 CW623DuPKipZbN5UakBbc3YfBmO4NDmA7izT7prhuZpAs1ghGdfnduTAMCIHx1Ca73Cv8Z7I jgYbPnXMwIEE6VAL1ux8DJYuFS0R+kfHiKqnn9dnuCxVK2q0Eo0BWd5bIQn9p0renjEDp1l0 tUbaKAoKXhlilVZniZuj28rT5sH7+vpdi0R3xdg6flS+SXualqgEJganzkrbzb+DCc3imKOZ /mQCqbQw76zLSn2pD1aQ71h8cUMfXt4Ek3ofRjw5yV1pXY92IHnJEUNWY0OwO9dVNIQWDBli h1LSX1R12BJDMYI++AHp5VCgc+xxqhvdVo29+3V3e7UmkhHBTX//alwbS8cgHOdAjYkCX5i4 Yo3HNqUJaFN5TH6KAJzcdTVCegLnSoyvZO1DwdvDEd5D0W7xg9EKaojk7biuR3qeI9Wo8h0R bW0H+z69ICT2E4Kb56UJQDfHFPLpbYWkUTNT2K7ozvLqVL9bFpIR7BSMQFlmcUhd1nwhAbiY dAuVSzOxVxkgE3lWS+94dHV4dm0fc/Ys9RxrG3MG2hvMgXNWDSaePRvjjLinrlLj5CuEYudx 193lZjQD/GrFpmHmXbwEZpB+vEP0NSt6ViUahzZYEh2351s0WY2JwXFtzGSRmF8uErjUqz2P 8QgsOB/Ulvu2AKqrVhR1KLZfLYAOB7Bg2mvEgllLRvxWl3/Db52SJLbTLyoEGA8tmHJRcWMd jHB/5Rtu5yT1AVrzrZoO5s7uQCuYbVKgCH6UD1SguJEEplHReb2+36zGiCBcL8bQvHCam9s5 I3JtQQGZnovTApHj3t8+376/vZjyZl7a+RW0v6Jlx9MujPkxTeEHbvLSRAluIBadYLHncQld EqR7zsUiqFk5D8+4selbFXlyWutajr4kRh1BWhSeKwJNEFdbvA/9OEzg+RlPw9fhfV0gcVVk YOYkceOJugfhGg4LWntM49K2NjlJUz2suD38yjzbZNTS8NxhATxqUxOINkFfbmnk02TVzvYG MMD+6TKJPIY+k2R0fdYZf81eKb32+vHdOHe6U4fmvKh4mzI+T5tZaAYcxMtweW6FOlijQH3c DufiMcsegSli95vbDCKljF2+F3JSYaYgY0nmBAhK0P35bJzgjPDNPOSLWWCZ/nKSFvDKC/C4 hhE0FJDw5XK+bLNkZzrPmdDh3TDB2O8dCmKEAXDb0LYX0kOKW9KjMuab9SyMUjzoOg03s5kR Y6EgoR1braeoFrjlEk/t1NFs98H9/W0S2aTNDFNw9hlZzZeW/hLzYLXG9d5GKwEg1npcdUsI vtgfPYnJHYbRlxmMECMhVBmdWh4nFNt44APZChXVcAoqmzLKme0ZGcLBM2IElApRNDMMNN3q knDBpELj9NJAN/5Yg7PovFrfL0fwzZycVyMoi+t2vdmX1Gy3xlEazGYL01ziNLNfptv7YOZs IAVztG0DKLYkF/pGFxGjo55/PX3csdePz/e//yVT1X/8EGrO893n+9PrB3zy7uX6erl7Fuzk +hP+azLNGkyvKEP6f9SL8SiX6URwaS/T35XYBYayD2ZmdpYe1JqhSgO0PpvOlmqNN5m05Stv 79fPy8udkA/v/uvu/fIiH+0crZmmKG0HTQEwJ/FWJQZfI3sslZFc5VFKINDSvGPoV78GG5d9 2yiP2gh/qso6GKzrDGa9Mxf3EeHly+Xp4yJqudzFb9/ldMoECb9fny/w99/vH5/yVu7H5eXn 79fXP9/u3l7vQFCSpg3j+IFEUWehX7lv2glwLW9xLIW8D00RaC6EBmzCBWoX2zXtYpAwLMta Dy2xK2jjO8TXAHJb1BAUonJMOzYotIhqNUvGILOC1OhyhrxaVUFUcIxajmJUv/+4/hRU3Qr6 /Y+///rz+stWL2WXlW59W1y9+cKKJiJZvFrgx4zRPSGE3+6/VLNlGozelmx052O8rczKiTt0 8lqFMIh0LKoYNYV15Ysk2RaWObnDjO46+iKCTa7CAFsN1TdPWkWnq6PIEsBFlKyEVoAgUhYs z3MEkcX3C7REzdi5xFoo5wvXPDqSumJJSm/TgCgU3uqolJVm45YpGcoDX43h+7Ker1ZYT77K JLEe94ROUSFBeHM+SmYno+nnqV4H97iwY5CEwXyaBBOveo2Cr+8XATIcZUzCmVgMEGqLta/H 5xS7eO3735wOKNvijGUR6i42UIgZCZBFx1OymdEVMld1lQmRdQxvWLQOyfmMjnRN1isys/P/ oJum4w0Q2qgPqTFbkHGP4gQxTfIM2HttP6HDiee1Rqx2Sz3FTVf4EaA1M+J7cS05cixKERzV 7oL5ZnH3j+T6fjmJv3+Ou5qwioLnjGFL15C22NsssUfkqO/8gC74oyWb3GqI0fuICKGpgBSw 0tKLKTjiy+qxC0MSyvXYWMuikI8C4/ZrUCtRDLR+d4wqfBrog8yoc8OHv6Yei4XoWuPL9s9K L6o5+zBwqjQeM5GQL48xbgvYebw+Rfs49dgGaE1U5iMcXW/1pOC3eMzrY1kf8a4JeNvIOZWP WHu+20xYdnxfzdPMF3lbud6oyg/hKhSM6x9/g0Ctr9MiI5rd8o/oPAL+wyK9ZgapQixbL3S/ ETqrEMjnxE4OTVP8sNDX1XOyvMcdUweC9QYfOaHDes7r+rHcF2hgrNHSKI7K2s7orEEyZzOw h4kKdtTexbQO5ujBZxZKI1Ix8REr5IinjBTcw0GGojV1E77S3CPOar2w5lOdyKJvTgCy0JS6 KZ4qa8eLZ/E6CAKvEbOEBet5pEHPdp4RHwuB7HfnHXrfZjZJML28ZhG6NqOK4HDobWGdlFGd +hy6UzxpHyDwvQ8Y3yRNrZZjVVSW5qYgbb5dr1ERzyis3v62t+N2ge+2LcmAR+NMaJufPU9r +FZfzXaFe9dvVIbvWpW42TVNmQUn1qPoMHEy9G5zTEk2ymi3I7OMOF0wJzmrUMPMN1lM1J6m 3HaD1aC2xhdOj8bHq0fjEzegm2Si0ayqjrZfEF9vfk0sIsI4KWz2wFCTv1FEhgNbq3ZH4Ska lK0MrTmDyyGOiyd5UWxzchWZljJMATdLaZfc4UNp6Hle8pjHnvdujfpodkypLfDTcLLt9Bs8 t2QNsoS0eQnvHObioJEvCLkbdFxTcvzKam49+605a5I1X4P1BLtRmSGtiUP9JIwi+2N0orax jU2uELYOl6YCb6LADmkNBe61CeCZSzfzBHXtcAO8gDee8Luzr4h7BNkYX3ULX8sEwlfG87J2 kgUzfImyHc6Mv2YTc5hFVUPth+GyJvMFR/DDDm8ZPzxiznrmh8RXorywNkiWnhetJ/5D4JZ+ PVJg+ekmOsGsBGZ7GKns1Xbg6/UyEGVxZ40D/7ZeL86uIzJec+HuatH3+8V8Yg/Kkpxaz08Z 2MfK2mzwO5h5JiShUZpPfC6Pav2xgXcqEK6P8PV8jZrAzDppDU4TllTJQ89yas6oQcauriry wvbWz5MJ1p7bfWJCeKT/N2a6nm9mCCeNzl5ljYYHd2m4pUtXa0Na3rCYWcenTBMWO3L1uGBx YHZ7962PW8ELABNMWiUd0M6sltywj2R+ZbTiRwpOfgn6zppZOc05ZAdEF/lDWuzsG8uHNJqf Pa4jD6lXDBV1nmne+tAPaBi42ZAj3DJllgT9QKJ7cdK0x8gjpz4QuLb0hQVX2eT8V7HV92o1 W0xsOAgHqamdW99jOlkH840nkhdQdYHv0modrDZTjRDLJOLojFYQ2VmhKB5lQrayM2/BUeqq kUhJauaMNRFFKvR38Wfn7/R4kwg4uMiSKXsBZ6n9egonm3A2x0y4VinbAsv4xvM6lUAFm4mJ 5hknCEviGdkEZIMrabRkJPB9U9S3CQKPPgbIxRSz5wUBo9kZNwfxWp5n1hDUGWRwm57eY24z nbJ8zKjHixKWkMdBjEDAa+45zhj2WoPZiMe8KIViaukIJ9Ke052zw8dla7o/1hZHVpCJUnYJ eHFHSDkQ4c89OQRqx2QyrrOxjxPxs632ToiChW0gU6iT+nBc7Yl9y20PLwVpT0vfgusJ5lPW iz68qi+rfV+iM/OzV02TpmKsJyfozCrHPKL3EyDCEndCTuIYX0tC2Cv9GVz41r0jHWQ4FRLS +CR+Mfe+UNgy9WSrKUsczp0C0g68f/v4/O3j+ny5O/Jtd9MhqS6XZx1fDJgu0jp6fvr5eXkf X86cHA7ZhTi3pxizbQL5YI3N1AmG4eq9fbTtb8QUC+xyJIWhlWZmVL2JMgxnCLaziCCoTnn1 oCpxhFgsrQC3HXz+KsYzO2UDUumguGFIKqRI75hWkR2NbOF6cQJDmpGtJsKMcTDhtYf+22Ns SgsmShpxaW7bkPTerKJHMnaBpjIU/u50hWj2f4wj//8JIfPgr/P5o6NCIkVPvoutDGR+3D6n TS6tP7eT2Nqc4WeTTJiAxI4POj2PUd7eWGxL/GxLxzlY+2r9/PvTe23M8vJoTJr82abUTIat YEkCLvyp5f+vMJAoQrmVW2CVlPBgxagoTBZBztSD8WTM8ePy/gKvE11fBVP588lyz9WFCsgP bHuv2xgI/keTcjlkXCj8QiM4fwlm4eI2zeOX+9XaJvlaPCKdpQ3aNNo4LMqYEV+Yvyp5oI+d d85gedAwwSjxk88gKJfLNe6q7hBhEv1AUh+2eBMe6mDm8cO1aDyOuAZNGKwmaGKd9aVarfF8 OT1lejh43N97kl3pMUJYFHJRexLi9IQ1iVaLAE+NZRKtF8HEVKgdMdG3bD0Pcf5j0cwnaATf u58v8fvUgYjgrGwgKKsgxC8zepqcnmrPzXVPAwmBwHw38TmtIU5MXJHGCeN7/U7HRI11cYpO Ee5VMVAd88kVxR74ynOdNXRTMDv88sZYKHOxGyfqqbOwrYsj2Tu5FxHKU7qYzSd21rme7B1Y IluPo8VAFJVCg5xo+5Z4nnHq11R9kM8e4qfgwKBv4AV3hlx5WJyrIpB54eyYTglphXALd+nE k2TPpGKlkIymqPZRLkQJT8rNgeywFT+miEq6izj6ZJ0mUmFtQnYREutifAzJFaOOtFtjK4Ra 5BNVxhYjZyUJZKGXnmfGI3USkpghHh1ENrxw4GGsvd1d+iAYQUIXMp+NmpnM8Z2nkEvrSFG6 0NP7swxrZr8XdyAuWbFCVoORAEWHQv5s2Xq2CF2g+NeOXFRgUq9Dch/MXLiQp9RpbEMJK/mo aqEsItAqOrkg7SOiiAcVUVXNwwx/01mXhQdVx1+Jyi1anTpXOXY/dOwGrS+yizI6dgPQ3krY BA1RBYi4qwT8H0/vT99BaR1FgNX1o2Uc8eXZ3azbsrYtQfq9agAjhVKZWwJCvCHGvhN3+eX9 +vQyzsugt7HxCJ+NWKt37sdAoQuXFdycy/chulgWa/w7Stwh3aQIVsvlLGqbSIDy2ltRAuos xmhNIuI+YWg1xfbVNFH0HGG+61bVHK81r6Rd3khcbmIreGgpo7dI6FnonTGN8eqzKH9UOUBw fMRLKmahgQ/4eifD6t0oQZRSvSbmCSi0+mWmBbNqODlvm9jIyRZUdbhGfQZMotR6CdwaLjYe xyLpIyy6HZG/vf4G9OIDcmtI6xOSJkjXAIObshq7NNQUdhCYATSWpFvrV44LKBrNWcJQVwiN T8Hr7AGpVyG6D9/8BCH52WO16yiCFeP3HllLE4kVvqVVHN3+mGb9X+to515koYR6RXtxoFmo jeFuK5NoGx3jCl6GD4JlOJvdoPRPFNxq3m6ytgGXHG+1jfZyqciOcR2g2FyOiQQnUuMROMiq DEffErCBdc1DB5twsYxKD08ZkP/JGpPULIdAl9tjSOBKR2ZyYTtGxAFWIRvKJfGOJS9tY4YB xlvdhSXYZ6VTa0bqKpWSBVK3yg2VxxGabrrXFtXhj0B1wgxkHebtjmNxu3nxrXAcKSCxQu15 QErmTvHnvFdobmeMbLrUM6MRlk9ZHcd8WAYZwTCJZtjyJvSxrMQ5fsBgQrRpaPplZVmkc19+ 6LJ0HOo7WUo5t4+WBROaHihJcWo9/ANQeMI5psSOhgSEzAsXqzhGCw7RzUrrRzHwQJ75uKL6 irxtUUb5xHoGR6JNE7cCCP5vqVYAPEWQH7jAc77D94sTrdQr12bB7ejrSAX7k3490Zj9DqTe /2WFyqoy3Cb0eHkNcatS7bk9Am+jxTzAEDtqTciAcG4WTQRM/c1GELEwzZmJyhLc4I0u8yJ/ LPvAY3UBcPfdL8pDciZpL7SjViFZHCSmXuBRigN64bzpXoWeoEFWdldbKN/yttS49DtFuDwh H5LvuFq3v8j6fr765UBzoV3YELGwrFQ74vfBWSV5g2cdkG8sOLwF8gVLOG34l3C5MqrVvGSY +BL1ahF7fEf2lBz6N6s7TkPEX+lZvzWas1UWYdzNkaGgIwAYKPo7voHpGkhxDLKcemyUJmF+ bAqfLRPocu5xgic71QJPZ7oGuA0kFeZ+DphGjAzEP58fsU7xej7/VoY+24zgCUQ/iGZel6eP vpRaY515WCxqnqojpE0tj4YhxsTASyx95jt1+yFaNr6GcjIakJLJcS+EWrvD37cDtLQbijG0 Tn9AqAdZPaUIPNds3eEIYHbs87hmf798Xn++XH6JbkNryY/rT7TJQsrbKrOGqDJNaW4+wasr dbbnAFUfdMBpTRbz2crtDqBKEm2WC8zVyKb4Na61ZDkIAGOEGFwbKN+18dNn6ZmUOi63y5xw a7DM8joToZ2nGBA8s6QWOa7prtgOGbGh3t7mA1nehsnQp8KdqETAf7x9fN7MwaoqZ4EVid0D V3MEKMPPrdmA4POl50UUhYYYqFv4NitxRy3JlNYzf2HGPS8nKGTmW/MQ7r2we0f2dXsiNiyX bqah22MNbvli47mC+1/GrqTbbVtJ/xWv+nQv0uEgTossKJKS6EuQNEFJvN7o3NjOi8+L45zY 6U7+fVcBHDAUeHtjX9VXGImhCihUCS5htApDmw5UJL41vq3OIkclAY3Vp/MzLYuNmXJTH3fN hF5YmInhgKsHdbUvsiuY7T9aLEn/fPv+6cubn9GHoEz65j+/wHD67Z83n778/OkjGsH8OHP9 8PX3H9BBw3/pA6tAtwv2dC8rXp9b4UPFPEY3YN7QAoHBphyeuHI65s+gPdSk/wwjM9UhA2LV OfBGg8SqmzUmzItUBerEjZ6ZAJanfc8agmkiPZoAMjyFkzk0mHy8qdB0j9zV37B1/Q7qI0A/ yiXiZTZcIpcGy5cgEsccb8Bu61lV9/1XudbNOSpDxhxt8+UZEbZIF/Xy4qiXeeK1usg6F0Bj cNOu3QWEQ8v8IoI4e1lyfhHpJcn5xGJjwUX7FRaXmKHKBEq60GGt67Cx4z2jLL4uqioHPzSp QV74cNVP+LdlWxHk3z6joyYlCgNkgAKE2pd9TzhkHHtI/PXDv0lv52P/8KM0lR7VrLSzJdNs 9Id2Mc4oT4pJ08vHjyKkLwx3UfC3/3YXiUdotNpiVXtVQEyhYPFSOwMPEWBGDSBQt5qMo/Cj LHG6toURhx5zgr/oIjRADqetSlsz58rkPEwC0m/4wjD1gZfpZQu6qhYvxDLPvDigymFFH4Tc S3dKwhDo6snHSp/8yJuoTPnITtSR+1poPiVJrHvIW7DhKfXoLXrh6IqqIUN6LAzL5mFXGfS4 YXi+1dXdxprndhIO62zIetC3lgR6jEutWsvM27Zrm/yJ9Na8MFVlPsDG8kR8u6oFjXbUojos I1Y8ScWsiTpDL0nAqtFbvOMZzBpZbE11r/nxOpABPJYvfW2HmleOfhvrsyyH6O2uuLT5OR9s qHp3hU3wOGjPk3G3lhdBOkEEB+7RnFbGa4r89ei5OxnCjNB0dJeySy718M586SanqNPcSmTG nzkZV1WAlhsqQRXmS96mq8kIq19e/vgDBDRRmrWzi3ToLsrwei3bI24cTCIrVQeZUsVbX4mr 1PKe90avPk4j/uf52vxUm0SKQRrfQPT8pbmXBqnWXUgImng4daO0f9l/xzTmyWRkxHOWR2UA Y6g7Xk1M3HtZ5fC6ow/GJDrmweRT2ury4Qv91EOQb1MaUcqBAFfRzvhSj9PcC3rQXWpIyJ0Z drUfZhQNCIxBo9fI9w4PtM0/pNTys7KI+AZ+bFRuRiCxOUISP00ne3iID+QcFfWYJua3EU03 KKHvm910r1v0L2SVeOd+XBxSWhTY66dVbxLUT3//AVIK1X+EJaoOq0F9ZSdgyBtzoMtZ71HU wO7Hme68YZeWKHhaQr7EneFTGlnzZOzrIkjnma0Ir0YvyKXpVNq9ozV+qN93rbn2HEsYHEFq NepYZlHiszvttUguUcMzzDu8liPVSMmzuKHTk6KE4556b/P2/WMcG6OqTR9mh9Begfo0cXcs olFs12ARalzpZvtI84OsV93Wl+JxFPjmzENyekjspXnPXlJOFZbSnn1WNLJzBXKWHcjpRQyP 1QPka5Nq54RJjpUxdVgIyK4G8YYM1DOPfHNNEbG9yBVOBqBCKDhYjR/KIgwcDwvlWtWV+a1u HDe/REfo0+d8HqpzPqr30rJ5oOBclWVFhL8Qnej/8L+fZw2avXz7bj798JdYnmiP3VHfemMp eXBINZVAxfw7rVBvPI7jk42Bn7UjAKLqapP4by+aU1nIR2r36G5FfcW00LlxKbQC2DCHBqHz 0DbtGo/uJZLMJSbqhkAQ0gBoN44UuumnDlGCiM4RuhOHsLBS8pTOlboyiEg/4ypHknp0m5LU d+WaVh5t1qoz+Qk5t/RRo+gueF/9yG+UUC4xDOihx6nbyDtat8Jk3GsaCP45ajY7KkczFkEW BTTIxjhUh42KbbmSFZfyKK3OWWzrrT51h1rhjZfhynlORmIYpIDRkCyZX/u+ebYrLuk7ryA1 tsudkbdofZlLRvvQJS8LDOcMa5FWOuzTaRZEMhU1sMU++cBoU1dNIZyBvXRoFDpXZrvaxJhL VqLtYv+CrkYHIWh6Mb0nzq14FPfA8ykhZ2HAKRerflwVeuqi6/6QVcThRndmaapz96hu1BK5 sPCjcjq2tFQjSm8mBnFJfnwXJJPmJVkH9GBRJngp37nBcnxcYezAxzEfIi7VBInSd7wQWzvJ YjE/Kh7SEfVf6duNsaA4BxfCafo4XTFSZn5V72mXPGFc+4k0/6CRwIEE/kS1HxQIGJCO11gL k5hMHjUEFo5ZLqVKQEk6SHbS6ivtVqYYMmSOYxhH1F65flRhjyyeHU/+IY5iKhcpyWd7rRLt zhK7cjC+Dn5EdqiASO8YKkcQJa7ESUjNfYUD9AuPmG/sGB6IqgoNw8uIASNGmNyrDj4BzzaG NjKMkadLIkthw5gdSP1sYbgW3Pe8gGx7mWUZ+ZBc7ApbNcTPx60uTdJ8ByRP+KTB9sv3z//z iXrCMEdYOdbj9XwdlMMkCwoJrEwOvqZJaAh1jrAxMN9Tw3vqQOQCYheQOYDQp+vHfD+hZqPC kQUHj8p1TCbfARz0Y0QdoqaqxhEHjlwTd64JLfyvPCDjvRJdhxegyNNb8coz1Y9T3qJdKKha DocuM+9Tij5Bd5r65HvIYTf1lDM/utgyxVoLVqITsOFM2+du4YL6puKM0gG2NqNzD6KzxXMQ gj5OPTmOSk6fgWy4H1OjvKyaBpYqRiDiaMem19ETdMCR6LXEBy3rRNVOHFwGJ+pKY2OJwiTi VGpW+GGShs7362sWvLgwymZ7ZRhBRb6OKH5Q5ZybyE+djzlWnsAjjbhXDhAFc7t3gExMKnms m7c2cqkvsR8SQ6M+slzXwRWkr+g3NzMDXgfMa7edOopIG9cFx6t8erroB8wL9W1xCKhyYFYN fhDsrwVN3Va5y1nkwrPcZe1zie2U2gJ1DqIFM6CLuxqYEd8HbfH8iJhqCAQ+MaMEEJCdJaDX an8IYkc9gpioB8pgsRcTFRGIn5FzEKF4byNFjixxpA39JNwbXBj1i1yfBBASe6oA6BEmIFJB 0Dgy4pPLqmbkLseKPvSCvb2TNdNQnen5PBZxdCAKrNpT4B9ZYQpV62dkMSHwNCwJyfHCkt3B whJqnLMkpagpNapA3Sap1LhmKTkeGpa9MvsZGbtdgck6ZFEQEl0sgAO5a0por8ek/TzREQgc AqI327GQp6c1H/W3TzNejDCRyK+HULL7AYEjST1iI0Eg80gRuO0LlpBR2be2nNIoU2ZfP9vW 2os3O5IOBVRxNkiIsXAEDbo/VTaA4S2L06nnBNTy/jo86p6T6BBGAbVkAJB6MdkV9dDz6EDG zllZeBOnIG/QwyUA3Zw24dX2hYQ+5FZ4wpQ8UTLWaLIRcinebQSwBF5CSQ8SicjZIBe/9JV6 hYcDpY2gah6nxDrSTxVsKkQKUIQP3iEgBjMgURgnxKp/LcrM8N6tQoHLWeXMM5V95ZMnzQvH +yYmBXJ+Gf2IKhaAV3QW4Aj/3ikS8IIYxrPNMyGYswp2U2LlqUBQPnjE0ghA4DuAGA83yYYx XhwS9krbZqbd9VoyHUNaOgChPYqDZL8Y5An3Jx4fR56Qp1BbPVgckx8RNAs/SMvU4XBpY+NJ GuyeJkCHpuSi1Oaa3aBK1+N8KUgY7IobY5GQC8R4YcUrwW5H1vsefc6ssdDHkBrLfpcBy/56 iwxUhwFdRlOzskQvo0V/fUW5B644jQlF7Db6gU8UeBvTgD6juadhkoR7yitypD6hryOQOYGg dBVHnoJqDMTCIOkofuoWtwrewPI+EpuphGL1TaUCwfS8kHq9xKoLdaW18oj7GyLfxfSBenxh Tit82OU+jhmfPN+n5H0hh+X6Oz5JQkuzsUanT6R/pJmpYtVwrlp01DLf3eGBSf78YPwnz87T ui2zODqqpxbwPtTCMRMGlOw5Veklyva5u0EDqv5xrx1+ragUp7wepBORnUqoCdC/DjpkVM0X Fz49Qxpfq0i1BRmOeXsW/+xU6LWKYOCUfKxV3WmBdLvNxVKIGhXSUntB1NoogYvxAccXygGP jIDMu+JRjrBwd/xkPDXVGbbyt6EPHOHBm3bLQAYl8QyIubG0eIlJMd/X72atVw6dY6gdo0Vb tpJuBjnKrS/RezPX8t59q/VCsd42rUDb3fPn7kpZnK880hGAeC2Kwcdg7pREEegsUDx/gNx+ 8ixYWBMvH+P+8v3Drx+//utN/+en75+/fPr61/c356/Q6N+/ql9jTdwP1ZwzDlSicJ0B1qzm py9Eaw22tuuozc3F3s9x2nfY1Hm9sOstdnkW5d1pJL6gRlZK2jjkCTKRdJ5tNiCN3/bJ0nla 3dZjkRuRZ9azFMq/wtbnZQ4VL8mBJW0NiOEqrQxsYHYJYwPv63pAcxobYc2ExW+E2URcZd0W pvues4j5lpcqJJ/icKIqti6DVHHwFa/7vcdH9LXo79UqL95dMTqqbOR2117e0DczfDy68/Om ZvjCVu8cpCa+5+vU6lg8QIc+6FRxA5FaBfMencqDuExZzgn/FFYKyP5Uj30R7HdGdR26nRbV xwTK1aqIp/d8UKcqhnA3iq/j0PMqfnRlW8XTZKWB5pn8CpgmfnBy5QeoXstLT46OSw9cj3bx s1KT+7YMIa3nN79X1GjiAM0PzXa0N/NDbYNTGoY6WhF7kzGv4CuCfGpW5VgkwcEggjphDDvU WRejeBsJk2Ni9tn4jk1pbDYHlRXXV1kk6z2GNElcnw3QbEa1VTAvLu8dSXBcV/0EU4f8vlIS YFXtrFFbZ17o+gKwqSSen+rdAovyIw+W6buYKv/w88u3Tx+3vad4+fOjsuWgd8qCWIXLUXt3 zNHJacd5fdQ8R/GjwVLU6C9fZd1m+oZT/SVQ9MjySgYLiyMPXtbdbg4LgyO9dK9iGOYcC5aT GSJgibDC4cIvf/3+Ad96Lo4uLSmTnUpDdBUUy/gfqXkxptkhcgT4RgYeJqStwQLqd164r8iH H47LQZEsH4M08ayHxSoLOk55oKMyzSPQBl2aoix0ALosyjzV5k1Ql7cTRi6GedlG068KRdfN T7kNP+8IMXRvQvee6AqUkkLaDB6TC+kqcHhsWRkivTr2i9SVSp04zKCvP1FA6jkfK3xazB9n 0v2vaGDhh5PZpzPRdN0ioD6IA8qxPIKXOj7AMoI9o+xTIz6+53UR6jTIfPE3omQhl7d313x4 2nNF0PTF/EJOIWgvpjZ1Tq+OTkdPGfddFHWmWu8eyTQ7xiRqj4hQ+RzdpHBpS6XAhMdxnSae 6BQMNvPOLPCpYtCJzvGXpj2jAwlvqLVmCHLsuUe1MBCMSIOoGbaeMG90x6HnxpDGu/mq14or NdWfKs30NPN26oiWzlZWs+WinVNGnSgLdIy1u8eFpt5cC9qi+OhkFOZ1ymJcqkphkoIKPEHV dxyRqRTCDKJlgCioRTRGqWtdwRfnqZWkjcbYcQqPOK+KnbCdyFAfknja2x44izxfr74gWe4g BfL0nMJ4pE/KZVJy+cuPU+R5xlaaH0PfRezG3ip7ZL2zEfKdrNGM5XWsQhvrR87CMJoeIy9y c9uzX+JJapqQby/nDBt2NZP0eQN6DX0S2fPY9yJ6yktjWJ+etxJM3IuFZHBOasXS1k4W+K75 q7z1M9otHiiS5Cg25rvyjtAuO41faVPm6BGFYW/nBxZYmVV/jMtBgS3bLUh+NbYAADB85N5U ujd+kITWEZ4YQyyMQtfUp15fCvr6VlNvsdCsHHmJt9/GqLadHAgRzXw3qxAJwY0fkkZ/nSia zCLXxdkC73w78a6TvupcYdfEA/DgGYPSvFvZaHaD1vsWi0byZtlBpw3dhclXxpP1hRYMBFJX 9bfkQWosW/JEySSyk1aMOEzjPbH6qx7lXArOkvVQnfG2oNPukVbizquojedUT+iovWvGnAw/ vHGiI9OrdHfMr6xylIl3G+JqY+XbzRQkqHMaT3ReqJKlMW2IrXCVUUgOM4VF7ErbJ1EQS29T MKEE7WZsK1oKZo4OA5ocrd5/4r7xETFp7BFgKE06oprwakjgk50lEJ9CTnkLKnUU0S1yaCYb g9SGqIwlcotCskI1b7LQI9uHhk9B4ud0jWA9jx3KqMJEWeTaXCB0JGTdBeIYW+LV0v7YWvdn R3LyIYzBEpN908idyQXFSUxBqMvAXu+AFj2GwtL4kNHtEGBMaV06j6aAGFBEjmLrbZVZ2yx0 Vgm0pIC2zlHYpBX//4MrJa2JVJ7eB8HOMVBYHxnR1QiWNI3Ir4lITC5OrH+XZI4PBioZPcvX p8VUPQGL9lfhVdcjklPvBG2m0/V95ev2cgp6S1PvlbEkeFKy2QLKSGjR7WwApACSbimQG8ab c2RGwLWZTCFCgUCF82LHugZg6nLVvXGhQaIPn3K3CiiYB5q+rmMwYkM3ljgWrkWJebXoyA/J eU1pIhoqVIX97NfHpLaMY3rS2yCn5xOdJSLzNaVdDdFk06EwtBogyBiha52amnTEMBRzvIBB dzo6PNpqhaj7sgGPNhYG5YAP6TFJf3srFLpaFDqqp8rSePL2uduvEFrh9I4iGMiWT8dyP4OJ uZLX8innbg2HgrGd/EVPY+QCraMHdLNew6dlHRmTB/Kt2krrx0s9RZcyIGroqpmo/ZDTEYtk 52CAalfqEcTy2tlsZzArHEPS97tR1aHCMDb0LoifcRyqnL3PKeOPelj8cWGVzC44d0PfXM97 bTlf85a+bwB0HCFp7fh4Tdf16JnBKFR6hnJ3j4wk4hiwehOgkOnYTY/yRp84Yw07+rmliFb9 KGDKotMKK/ibxkVwiNux858vf/z6+cM32197ftaWEviJJglkEQIbdzDyceKMxMqShiQjIDiS pKNsncZrblaPi3sZR0k3M4PqdIJ5qR4byiuE86hc4t7OOTqttwgizsO5v/Kf/FiF+L0e0eln p50olbrnQmn8BrQtGMdmuKaQBf3058uXT29+/uuXXz79OVsqaU6YTsawn/Mhk4l0x5cP//7t 879+/f7mP940RemMdA3Yo2hyzucVTNtXANvxyYgzphFBHo0MLNzyWblBljC/QeJ9MQW8Kzr2 uGvGcBvIc9gqcgpZT5O2m+StrBIlY0oKMXjUc9MNUi4eiMyFckmHFt6YutH1ukMpBmNIDJQr cKWv9Uv0rRK3KPCSpqereCxj36NP7pQOGIqpaCl/OUoxlRYH4bVhuPBZC5RiP9Bd29KaWJe6 tAfzpdYuReHn5jMGdp72PFLu3YBNhgBdE14xd5JRGcoyZuUfnz5gIC5MYFkbIH9+QAOq7YMI WjGoHqBX0uN0Mqj6DBCkK+ygjU47Vs1T3eo06ZPYpNXwyyR217PutxupLEfrw2dHJxRitzHT FM/9YMT9UVDo43Mn3Prqa+ZCfeiOo7ScK8Z34QYkM/pdu4DfG2Ghtc/JQCoo9S45n1TfcILS dEPdqfE4kArZihjCZkc8PZOBqwC5583Y9Xou6DcapOS6MLM5Pw/C8NuRV412lXpWIM6ZmbzN j+SCgdgI8tYlb81GteiaW/MMjfSmsB4oCLIjHLzE2u5GRrpCsDvX89TQE810/NHTQR9XFtLX GKLDlR2bqs/LQJtTCJ2zg/fQQ48h+X6pqsYcZdqEONeFiLNtT5VmHJxfieXPJ9gdjRVAiMln XXoW3DUe4nYnMmIU4h1GRquMKYzhiGtyJLYOcQ0xkBNJ2R4x2GjQ2h1Gver2fSMaHSiSVGOO zs6d5fUYCrFwras9hgMdcBpwK+ehBinBkY7nMBSe9P7gOePX9mzmI3yOYBA0V1Yj6CZWohHH BSz5lWthg6JAMzGWhoHVxgqCYcZzrq+aK9E97jjLh/Ft9zwXse2KCt2deqxvnV4PWH54VVnb 5HiBOU8JeRLEoFXSAaeaUKW764CBTe+Pnodmmfe6NjVjDZ/qlrlWj/cgfOu9vlCsTfT9cwm7 qz3X5POqx+VKa5Ris216OjIHte1vMZko0UTEeqo12cjiXQN5K8QlPQa87y5F/WjqcWyqR9XC Dqws0YjP2p8myQD52vS1HWNEYYA/W9edDOLiRcIl549LURqZO1JI2yzRI8gk4hZv4tFK73/9 59vnD9CPzcs/WvCZtYi260WGU1HV9P0XotJLuquJY365dWZl187eqYdRSF6eK1r5Hp/7ivbd gwmHDr6XVBmpy2Ombfz9feDVO5B4GJ3hjPOa9Y6AtpDycTQDqGzrBnoldkS4xZToV3L5dPD7 R17+iEneXDCGWLHFELOe0WBicb+stgaJvIRh6yjtfuTKBoOUvClUrxKiSvWJPUw+21ucLOv/ KHu27rZxHv+KT59mzpnZWrLly8M8yLrYaiRLFSXH7YtPJnFbn03srJOcnX6/fgFSF4KE0tmH 6cQASFEkRAIgLiCb5xujyiVigtWcDaFEHDqxi9BYCETUMPZkBus34PIAJCiNwwGEHD9IE3ze vIPdCK6KuXzxXGySlW9WhEdUVvHLm4GoXCUBd8Rto1uU1rQtE38p3Z2DHVq5pZeTELcqUc/b gqCPdSkDrGMZ2eoZioWWPiTb+37luPq1ioJuJ2PXW/omWK+gqCBiMpt6vjUsH+P8ebujGnaQ zSYu73nXE7AXVhItHX7MUUugawNnUw641J1TO+jYMaFmwl4J3EbV1PAQkPDbkjWmSpzK5W8O pYFa/oASOViYRI0X/em4jIkd1rNevPC8PTosZiT9T4fTb/l74MQaGIJnvGNSg194bCB+i13M zNUL0miHCfb1kj79DHnmsjRQw8DSoWYTs0HjqYSR2LX5hZk3QxKoe+8Q1gxdkhRHAht3azF1 xxZbVhNvaTJQcz9tTWwV+Hg9NzRzVRp4S4dhvHfSmbZ4et/efTHeP1ZnlvGL9GS7/0r4TRW6 8FFZnSVi4sTpxFlyOoNOoTJTGPvV6NvlOvr78XT+79+c36V0UK5Xo0bNfcOE+5z0N/qtl6J/ N3a8FeocmTXMd5Jrq9dWVUUHZ0Um4zKmBJ2tzI0jCeaLlcmbys114LPEvYpZuJk7nxpQsc4m znSsz2J1PX3/bkhx6pFwcKyjkrXcB0GEcT4JCLckq7YsBAxH4Jabhgjk+gN8LhhtIIKy1uz3 EtWLwxpU711SpdHaD74M1lySNJZcox6dhfMZx2MSG9Ec0w3Mc01YsnAXc6+wocs5Tfir4BPe U6BButQXQkGjicN/XRK9nyzMZ3vkarob5cwElgt3ZlN6YwbmcAPD2jXchVwFq6IX5UIA5v6Z LZxFg+kv1gAnxRX2QwoxCElezFoSCqBWdTy6PKM/JeFWrJV+iJMB8bpuGtrjVohDlu8i0FtA aiWs3GBFlMYoYw+OF4k2kT+geBqj7j6geh8mokh93TIUTqcqPXvX/Y0YO2xRviRbY37aJME7 H93iIwt/ouVHv6yTP7uqoGMDXOY4d395FKwERdjLhfD1POMKq9L8N7gPH/oRY7JmvIZaYW4R btJ1AqLiawgpyDJtjddqWmg6tX7Q1/IumJi9EFSE5Q4vBYaKKiFNiLUMbBqNwo8Cs2PYyYNc 8BJt3VSfaS4jBjoFkXFPx1+UtS7rIyiLZ9QLHL16m4BMbj9ENJUbFQRP6ZqjDwtNqMdfqLv2 kCQOdprBZifDSJO8SlcmsEyoSU9BzccqxfV0f728XL69jjY/n4/XP3ej729H0F+ZmqMbUN3L Hfut/aqXdnjrMvpi5hOs/LURPt7hMIq6vVU9MLtTy5yZOtz6aWhV3kORFFZAwrDzb7Ap86wv j0xKJyAG2qV+Qa4lOkSBOR4jBlERcax5uAWgnvctsCwysbbBacHQwm5SEW6TCPT2AZmiv3Zk J7rtoyls/y6N7GXFeva2JLsVMz4pGcTCRijr4qZeWYNHpClsUAoQOouwOUJYqtskDXJ+tbMo Tf1tvmfLYTcJXDd5hb40XGtFoO97GwxMCFLNxA4/YDrRaYbUk2oJMVcKnA0610gps+mkf9UO yrjS9VSA3oiQM2hoHbThjwP9A3o5ZRM/akRWwJ6GE4k3mbIVICiNnheZopzpEGY6iNF9DTRM EAbRXK8QZeCIO4WOEyAGjg9BwWKZqCINuwv4PvvABRunIklokir5pHV2CNYkxm5zK4pky1Z9 DmTZZXF5u3IB/ZiUpwTRoH+CgsC+sYrIY0UppVhvQqDRrmKgqzRkoNiDkXILr+uw/gNsydVs qr715vRgx9019JN0ldMqx+2RkG1q9ksoAjYSUxZqPWSqN9p9a8zt1SlYnHrQSaw8Pl1ej8/X y709z8qJEWY10N+RaaF6en56+c500mz8vfCOALk/c2qAREpfnzVq0Jo+YGAQYGI1OaUdLBlU Sy29S24TuV0pj44LKPm3WAasd8NSiDwY/SZ+vrwen0b5eRT8OD3/PnpBU8C3071mD1d+X0+P l+8AFpeAXGu0/l8MWrWDDo8Pg81srHL2ul7uHu4vT0PtWLwqWLIvPsbX4/Hl/u7xOPp8uSaf hzr5FamkPf1Xth/qwMJJ5Oe3u0cY2uDYWbwmaeV4QWDx8v70eDr/Y/XZimAqq9UuqFnBj2vc 3fz9Ky7Qvlop48VlxIn+0b4KpNai6tv/83p/OQ/mKVPEMhPdJ8NXtUXJck6DzznEwodjUFfO FZxaNBugsi/K5HrL2QA2QK+6wEJiFuUJjf3qMUNGQ51C5SSwENSe2MCLaus5nv1SZbVYzic+ MwiRed6Yi3Vo8O2NotVljfmFLFkXlLtc97RK9JZYkgIU9pj4y3ewQ7BiwaDlD8GjLSgWEYvF 65g+FFPD38RJLKkouDHIoRzNjFD9qYu2WhuLVD4V9AUsANWQuNq5g/rsbaPscOYHhe87V3vh /f3x8Xi9PB3NkqR+uE8nU28gRFxi55q9vAEYdd0y3yHF6zKfmL3Ub7NNAKwmzZUpD6X0oe/q jwh9EkcFq1mGYyKzKhCXI0ZiaNEjOfWNRqEermyZTOubvQi1gDD5kw71Zh98unHGjp4iJJi4 +pVXlvnzKQlGVwAjvhqAsxlttpjq90IAWHqeYwbrKyhRVySIjbLfB7A4NP3KPpi53kCRpuoG FAw2hzdgVr5HKlcbfKd48XwHJ/bo9TJ6OH0/vd49jmCrhv3Z5sz5eOmU/DAA6S45LQIQM12g V78PSYxh06BL+WlKnOXD+VIv+eyHiawcRfJfNBmbLNhiQWFBgMFnDgWqpEiwCypov4Nud1Ga F1FX8Y5zz9nPdS7HggHTOVlXCVrwcyRxSzZ3hb93JjOazQP0uhmfgisoJlMax731a6wtwTFB KE/VLA/N6zdR7R1adaKS0zxeOLx7hkQLh6+n2ScrMaa1TVKRGSWgevQM0e1yNOBdPHPGZleN aLO3ikm1zP0eI+usHl8v59dRdNbz1iWqEG3gNwnZaJ9ai0YGfn4EqYi6RGfB1PVI455KfUg/ jk/SF0cczy8kKa1fpT4cMZvGtqKxtUREX3MLs8qiGd3k8bdhlgrEQmfYxP9MdybQJ+Zjs7xA UiYoSqwLWoRSFIItBLT72ib+aNVD8zXJgUqMSMLMtmxTDB0LXUUOdGbbrumVhvKjPz00QxhB w1EAkvblrMvfPIE+lkz0Sf3d3jNeFG07u1MbSUSByuiQxzWzom5zGmYGvr5T3Di0P3vjGefB gEkjdE6B39Mp2ZI9b+mWh5UvIgM6KQlgtqDNZsuZwXB4JUBvIsMirxDGHfxiOnX1XCUzd6L7 dMAe6DlzY1f0FmxlBdgVp3PdOgQ7EjzV8/R8BWpbaQfY3ju9N7/K8xGY4+Ht6elnozPpy23h mpin4/+8Hc/3P0fi5/n1x/Hl9B+8SQ9D8bFI01aTVnaU9fF8vN69Xq4fw9PL6/X09xtegOnP eJdO5eX8cfdy/DMFMtCh08vlefQbPOf30bduHC/aOPS+/78t+/Csd9+QcO73n9fLy/3l+QgL Zmx8q2ztkPrL8jdlqnjvCxdLnbIwKx1hUU/GKjPOkDheYfxBfpiAYCGsT1Ci0KXVRFfr7g7a 4Bz7/dT+c7x7fP2hbfYt9Po6Ku9ej6Pscj69XoyvOI6m04FC76h8jp2BUKoG6bJHI/tQDamP U43y7en0cHr9qa1YP8TMnTi8iBNuKlZm2YQoiumBQZUgFaDUb7rum6p2aVWPBA6rATEYUGbu 0fb1zFdp6gLAF46eLk/Hu5e36/HpCAf8G0wNYc7EYM6EYc5cLOa6dtVCDCUk2+sV/ZLtDjl1 JjmVaNU6gnJ2w6CpyGah2LPv+s5bKS8WGa/GrSmWIvBT/ubGDz+FBzFhV9YPa5AjaVpHP52M WY9UQMA3RAwXfhGKJe8sIVFLsgAbZ+4Zv/WTLcgmrkPLsyNowjvXAQpw3M0H+i56pNvZTL// 0OWQJnyx1I3U68L1i7Hu16Yg8O7jMblnl4k9ncGZ10qbucvxu9WQFYmeg0lCHP1M/CR8x3Vo 9pWiHHvsiZpWJUm3mO5gUacBKUW/h72Kur80MD4kdJv7zmTM6Q95UQET6HXsfKw0SmEicRwa iIoQvghgdTOZkNJl1aHeJYJUhW5B5odWBWIydfg9WOLmv6i/BBPvsVl5JUYvw4iAuW7QAcDU 0/P/1cJzFq7murELtumUOCIpyER7tV2USb1KfysFm7MifDojBqOvsBxuW1ys2Vro1qF8Ee6+ n4+vyphgH+3+zWKpe9XJ357+e7xc6tpJY2zK/PWWBRrGGH8NOxIxxgQTT5XbNrdM2Vqe5+98 QFh6i1hnDYTJJS26zGQaUEPe6F0tuEnq83o/Px7/odViUO2oiUJFCJvT6/7xdLZmXjsHGLwk aH0YR3+OXl7vzg8g8J6P9OmbUl009jZLMp9oHy/LuqhaggExq8KNEdNP8JZV6ShAntGMnR9h c3ydQZABMf0B/vv+9gh/P19eTjJtoMV/cmudYpp1ysa/7oIIr8+XVzhET72ptld/XP3DDQV8 QhOyOXpTos0EWE9tQQEerVtWFemgDDcwIHawMHG6IJNmxdIZ88IrbaK0ievxBaUH5pteFePZ OFvr32fhUjME/raV2/a4XPmlJu2E6Qb2JG1zCwtBtu1NMSYbfhIUjikCd4J/6ug1mtVvWz1I YdvgjoxMeDOSl1f+NjYdgOn1G5v9RQaH81DavvJIlcdN4Y5nGvpr4YOwMrMA3Uu0Spu5QL1w dz6dv3M7go1slvryz+kJpWP8Ih5O+MXdH0eMhCiliYE4hCT0S4zeiw47neFXjqt/AEWiF6kr 43A+n5KCuGVslMHdLyesHAkIj5T6hJbEvwVPxImlEHSnnTdJVcZ/9kP7xZw0DgUvl0d0qR82 m3eOBO9Sqk35+PSMuj395qiQOPZhw+ULJ2bpfjme6W44CjIhkl6VgUjKZdeTCGJmqWBzZlda IlwS6smNvSXfVtolIPyA7yehgMQoIQMgFU5YsS5giEc2KnLqMInwKs+5hEWySVTG1kBaFxK9 i9LfCupYv8uig/KAlCsCP0er6+nhu36L3XMWEAf+0gn2U84Yj+gKRNYp5VWAxv6Nbb+Uz7rc XR/sC/NdlmCzucrT31Fb9+v9Xf2tncAHfXbvf5yemYje8jO6/miyWnqIE7IFWY27toUf3DRT 1p4JuV9iausgcc0CwJhlCprkQcVmm4IdNKrwErYq8zTVRQiFWZVBJmDhlOWe6DUS3yREuh3s ukr63OtqQ9x8GYm3v1+kG0Q/I22xPEBrSl0PPGQJKNChQneDWAXZ4QZzVNdi5SIZ7/0EzdtC YlVeltGWi2DVqUIyDB0jEpDN/AGcn+oh84iKBcx+tl9kn3GIFJcleywpxL0Xoou9f3AX2+yw EQn3qRIafH+zg6AI/MKOXdZH4BfFJt9GhyzMZrMBuxcS5kGU5mg9L8OIV6SRqnHsyLMVFw3e U0RtuGx7HhCW6OgxZUjgax+Jal36RcrWkEQEEWWw/mGy/RQFA2nPgpX1yRbH67fL9UmeR0/K kEc8v9sRv0PW8b9PrlZgHabW4/zzw/VyeiCGom1Y5knIHpwteU+dJqvtLkwyLv1C6GsWE/S6 JYAt7GeZ8ZPWe9zcjl6vd/dSpLGd30XFPVOtRGUVhKk2tOZKB0W7GFm0FsHnW+rQmai5Z1Tc M/oQrNZiab9ZZ1ws1noWOOUhWZSwhVq5/C2k9MNkBo19HrJ12bYIdhpTS+SqTMI113lcRtHX qMEzXTdXtkUpM0zWBdnCZddltCYFYPOYh0tgGJMvqIUd4ox7eIf245ptVrDB+7EgKw4/ZXw5 cug2D9kHAUmTKoQ6V2mIjR7Dp8F9mbqFogSpfiUhqwgdncxx5azfbBV1d4fwJ+d4qIM7kREz 7cAC7XsvJc3uwLkaZjXe9q/nS5fLwoRYowYNQBonY860YfuvJtSNGH+jYDEcyS3SJBtKlSHN FvD31thvGzRw57bSudMZT7HgVHggwlpcZRIa8hEKeeOU3OrYVB5TV4OnRxCU5VmiCXRh4Aeb 6HCLCYhUyKgmgvqoYIFyFQv0mBHUJAN8sI25Ay3GesaZfkBF+8o9xGTbb0CHvV9VfDJQoJgc +PjRfTW1u5vKYeYiAeYIOJmupRFRUJcqKFbHtLuhDrupt0kl5XVtWj6taDZZ/G2XgegnI1vJ OaZCYgKzCbiBkJVPw6j9MGodC3cIlwc2shUWKzUSIkA2MH5CbTJ4PxC+kdXXOLXvE5f1FvMT A93BCtsktFaMsAL7AiaP+5b6J0TxYQcicqwt8jZJ1RRoO5xrvbgEYXoBfq6aFoptrY762bK6 1PhuqFs1h8xwVBVmJbElA+Ht7UNgB5fmn0E6geIOz6j66LuvALVSfc5aiMqHc8gLfT4TkCwR TAwuGYhu6AL2ZQAPfYGaUH4paEV2AoZzf00nRsgF5mdTdKHC7S5nAhIFaIP7+279d0LEMtyq VQxZEsg0ggOXZ6t/QfS5zivu+PLrKo/FlPCpgpmsUWOCR45Jc5iZ1P9i0PdQTJWXlMBMh3Ag ETNH66e3/hcYBOjDOafXam2SbRhpIrWG2eKq7s2MWhpBFlV+kBdkAdTZf3f/46gdXLGwdtUG JD9fftJbik0iqnxd+nyCy5ZquLRPS5Gv8JsEbYMtwyppkOf1WMYOZu9uGm5ggK1fjpoLNS/h n2WefcQk2HjCWwd8IvIl6LCEnz7laRJptqavQKTj6zBumad9Iv8UdQeQi4+xX32M9vjvtuLH EcstVbdoQzsC2Zkk+LutQY9p4guMZJ9O5hw+yTHkScBbfTi9XLBWx5/OB/277knrKuYDOszn KwjzhLfXb4sPvf0upu8hAdbiSmh5y67nuzOo9O+X49vDZfSNm1mMIDO+dQm6GSjDJpFofKr0 /AMIxAnGfJgJcdiVqGCTpGEZbc0W6ASJqezMjDyqUVFLC5mq99BgbqJyq09Xq1u3SkRW0HeR gF/IIYpmWJbc1OuoSlfsbgn6vYz1jvyKxNfi//pNtzVw2OugnQ+JUEku4JWqKOMeto0qTLWu U2mMYzISHnKu8ZvcSinIgLwrkdO/ngzy6cFh56jEfBHbAfFRDU1uUIN4PI+azC/hln35hgg5 IEqRiL5bmAh/BRJCHRZc3kUg4VLWwC6JHv0gDOSaOotShvkTZ4M80EzVI+ptqUfMq9+HNShF 2iw20OHTIYiKDX8yB0lMusLf6rjizPYS6+NxCyeqlB7bCSanBlLdRv7NobjFjJIbfkxIVReY gXoYb31AOtI+rjrogJtThz+EdVZgaueBAH1J+C/G9x4HwgHhDyk//rDOtCz4ldqmOnOmoj0G yPGiodvz6TDVr2kJZj6MmZOwG4JbDFQoNog4/jFIvIGnL7z58NPZ/P0GifNO81+Pi4afGDjO rdwgeWfqZtyto0GyHJiV5WQ2hNE9AY027hCGFmejY5jzHl9IBIIZMtuBT7JIunHcf8MpQMXd ryKNTFZkjrIdAH9m6BT8JqBTcI5pOn5KJ68Fezx4xoMtXm4RXAQgeUOLDzvMEBd2BMYQb/Jk cSgZWE1hGSb8yjM953ALDqK00qt79PBtFdVlbo5V4socFE6fS5vekXwpkzTlOl77UUrz5XeY MmKTmrf4BMYKKr7dZbKtk4rrUb7z+wOt6vImoalSEWXK7h0yTHldrt4mgWE870MJdIuoCrA5 3r9d0QGjT2HWSa1fiFSKv0G2/VxHojpYp1IrBEelAEUOlgzpMdmSLuhiou8obHtudQ5l8rDg 8OsQbg45dKmMCsZg/o1ZorE/Ye4sIe+hqzIZuAPkbFUWcuBIlftMJSU5+EDSoXoLMYh3aIIR eV3SGjkoECWBtM1ksHabKC1YZ79WM+tfzNfzWYrsrw8YwPJw+d/zHz/vnu7+eLzcPTyfzn+8 3H07Qj+nhz9O59fjd1zxP/5+/vZBMcHN8Xo+Po5+3F0fjtJxqWcGdTtxfLpcf45O5xN6vJ/+ c9eEzTTPTdBkDK8Q3MCakLByREhTFkij3eCNcl8NDd5vaSQs+w6Mo0UPv0YXMWZyezvSPVbI RZGZJGECtszbG5rg+vP59TK6v1yPo8t19OP4+CzDkwgxGu38IjH7aMCuDY/8kAXapOImSP6v siNbbhvJ/Yof92FnylJsr7NVeWiSLZFjXuYhyX5hKY7GUSW2U7a8m/n7BdA8+kBzsg8zjgCw 2ewDDaBxlLF+bWIh3Edio2KEBnRJq3zNwVjCUTB0Ou7tifB1/qYsXWoAui2gmdclBa4q1ky7 Pdy4tehRuMk4id94cNTMrJuQnmq9WiyvszZ1EHmb8kCuJyX99feF/jDro21iYJpMg9hZf3N1 krmNjZkglNHl/fP348Nv3w5/nT3Qen/Eikp/Ocu8qoXTUuSuNRlyvZRhxF3oj9gqqgXzGHC8 jVxeXi4MsUY5T7yfvqJn7cP+dPhyJp+p7+hm/N/j6euZeHt7eTgSKtqf9s7HhGEGGqo1wQws jOHQE8vzskjvFh/MvAHj1l0n9YIt7z5MgrxNNsxAxQIY4WaYh4DCEJ9evuj236EbZgY5BVsF Lqxxt0XIrGUZus+m1daBFcw7Sq4zO+YlcF5jjnF3a8TaaFpjiaUpmjZzO1zX00jF+7evvoHK hNu5mAPuuM/YKMrB6fvwdnLfUIUflsxsENguTqgjeSgMZ8oxld2O5eRBKm7k0p0UBXfnAN7R LM6jZOVg1mz73pnJogsGxtAlsKzJsc0doyqLFkszUd6EuOLVuolieckX0p4oPiw5NX7YhLFY OD0CIDTLgS8XzHEciw8uMGNgDQg2QeEer826WnzkjoVteWlmGVHyx/HHV8MxdWQ57kwDrGsY KURiIm/PuhR5G5hlMgdEFXLa4LjYiq1ZQcNCOCbHYTUKTDKZuOdIKFC/GB5yTgHAsikYJ7Q7 hxEzRiv6y7zhJhb3gjO7DhMq0lroNc6t48FdAValpBFclZb/qYekq2u57C6vOdvOuPIumFc0 krtvHZDbgp24Hu6btwF9SQkK1NJ8efqBYRJDLL09+CvQiDwmzP64ueedjHr0NeviPT7LfTlA YzaNrULf1yRXqfiC/fOXl6ez/P3p8+F1CP3nP0XkddKFZZVzfi/D51bBmvIJu6sQMez5ozBW nRQdF/JG6onCafKPBCtWSvTmLu+YZlEK7kAnmbGfW4SDnvFLxJUnbbFNh7qO/8uwb5i931bC vh8/v+5BEXx9eT8dn5mjP00CljESHPiZI9shoj833TqzLg2LUwxAe9xZlCPRzHJGmlHSne3L RMaiOaaH8OFYByE+uZefFnMk898ykM1u7fGbJ8F5/us953DsSqToJ1qKCNX2OVy/Ely+NFHU MV/yWyNdS94jVSMRTTbmbuOaUHjJepI6ZDgM5xeMmgUUYVh6XgGYLprZUUhzK1zVvYeDEnf9 8fJnyLConiD8sDPLuNj4q6UnBTP/og2bjp9558YVW/V3blaeTqkUrvMvqcVK7kJGKFJDWknJ YkSGNT/Dbr3jn9Tw7l2iqO+yTKI9koyZWPzNlfkwxcSfpNa+UUWZt+Pjs4r/evh6ePh2fH6c WJ+6XEcOhenM69EAO3XNoSD+iv9S1RIGz5dfeOvQZJDkorrD4pp5sxq4dOplz5VIoquuvJ36 NEC6QOYhHI6VtpXTJJeiApJ8be5gjHtK2EM4SEDcxqID2owNsUMgiedhedetqiKzatzoJKnM PdhcoitNot+TDqhVkkfwvwoGNUj07VVUkck/sQ6p7PI2C/jSCMrYrRdnHmOfwsR2Mx5QFngs tbhCWbp3N0/0TyIK9EyAVQhiTV40o419XMchLP2kMXhFuLgyKVyFEjrTtJ35lKnwoqY7FDAx Ny1h0iSUwR1/52GQ8FoJEYhqK8wqxgoBc8M/dGVotKH5S69ilASu0h9qkeajrj55mWC59Uz7 ZqYH93jwgaCTGh459+oYt6AgLI8+ryYUAz9c+AVLfcFSo1zMkBOYo9/dI1j/WgXB8hS8L7dC U0RXySc/7EkSccVfEvd4UXFRRxOyiWGL2T3t6hJWvgMNwj+Yb/DM1TQO3fpej9zUEAEglixm d+/uXroeMVNG7kRViTu1dbVdW9dFmMBO3ciOCCYU7nbgAnoglwJR6R2DOyDcyA2cg4La1ZQd Fqttr/WgLcIhApqgayo9bx0yEcSJKKq6pru6MHgfYuDLU1FJWFMxaSPaYbS16rMgeUjdUia3 w5/79+8nDOA+HR/fX97fzp7U9c/+9bA/wyRo/9bk/gwrwtyTVxReGKPf5Lm2+wd0jeao4K5h i6UYVFpDf/kaSniPc5OI9T1HEpEm6zzDQbnWbnURgXGgnuiKep2q9aIxIPQ5NGY4utWPj7QI zF869x2mOTXd+8P0Hi809U9PqluU+Dm/u6xMjFJb8GMVaa0XVKx8DYJGZSxZWMbDHthEdeHu jLVsMEFKsYoEEwyMz3T62WIgGjpndefaAk0pdjk3gl7/1A82AqEHOoyTDBtrwdNF51botUxq WPfGBOA9c742T7kxO4QlHJk3sINQR9Afr8fn0zeVG+Hp8PboXtKT4HVD32oJGQhG3zL+sguO +oIiE9YpiEvpeKX3Ly/FbYsO1BfjlKsyW24LF1MvqB5X35VIpoK/W4/ucoHF9/zehQZF5/Hx BUEmKEAw6GRVAbnGptRj8B/IhUFRG0lnvSM8GraO3w+/nY5Pvez7RqQPCv7qzod6V2+ycGAY WtCGpjVQww6HhIz4YZgoaxDneMuhRhRtRbXiz9B1FGCxw6RkQ5FkTlefWYuGWAzR0bZGBUPb QcP5p+vFx6W+3ks4njBuWPfvraSIqC1AaRsfoJjnPclhL+n3parztQr6QefiTDShdhjZGOpI V+Tpnd3DskjMGEPV9KoApt67jmLi/LLVF8MvTzctDrIUHh+GrRsdPr8/PqLXQfL8dnp9x3yA emFrgZogaGCVpvxowNH1QQ3+p/Ofi2m6dDqVyIGVS+gLa4vBEs+6gQnXFx3+5iJxBr2hDWrR R6zhOWZMEuGsn5jOwzBJKGiAZVE8FeOJAP3HZ9B6B3gvePRFIlrWX+SXpsgcP+Wp7W5Qu6e6 X8zYrpEGBLmj3DWY5Zn1BlLtIpl1nluIYTtOXhfmO4pt7jHKEhp2Ql3kvLY8vQnjB+0eVEUk GmHlbhmXiKLZ7tyh2nICz6jENugZPbWnfltZHHrgVBbNeoMKQuJYFy35fiZBGE5hp9uf9Xdw DI+AUSvSTtlHr87Pz+0OjLS2juCjGx2bzPKTPnIUPoBBs/6CPZMkd6u2tuTTGvh11CNlHin2 PfPGDadEWXOMFrRWOGzaA1aFTMity524numiMsHNniKKk3VsKTLjpNKXYfDcKi22bvsGmpN7 QvquG4HcxbWtKyyGq6D0lhcT/wEFx1B8VQv0uk8Lx0FtYghOB2OrfGev6wD9WfHy4+2fZ5gf +v2HOnji/fOjLuxBd0L0lSuMGFQDjCHsrWbVV0gSottGV4nqYtWg7bst2TIMIx2WPfwVOoXs 4hZGrhE1v+i2t3Bkw8EdFRw7Im6u3qUfy/Ojo7xY4bT+8o5HtM6LjT3hGGAJzARODq6CTJP2 bOKw3khZWtxVGUHRg2c6cf7x9uP4jF498BFP76fDzwP843B6+P333/VK33gZQW2vSX+wlZWy wrLAUzyxJvAjohJb1UQOI+mrHKouPBo2P0nP+NFm2MidfoHUL9++vp6z6Xny7VZhuhq2Yyl0 u0L/pm1txIMpqLq0MQ9FCmeSpbvle4T3Y4bS3qmUJfciHGe63hxKKpvvxDRRDYYhmcfg9GWM IbMOV8Zj7Pr6f9bHuEEo8As4yCoVumM18SFCaj1E0RgGsWtzdECAHaAMke4I3qjj1MOVvinZ 6cv+tD9DoekBLwIcjYcuEWwJpgfaLNAviSiPblnpCc3wuM87kkRASMBkqEnvGGKwB083zfZD 0L9k3oD8PKY2qsKW4xn9fgpbZpOFrS/8mV8r+ACmxXMKKSLCv040IkzuQPVSfDZJJMJzlfSp kdsvFzreWh8Ikrd6kNuQRdEYEUe4u+2VqIpO8hnRQmVLAAkY78I8bi7Q5b6MrLItDvnneMYF BHl41xTcZiePgmkfuKwzp+y4gNKUQhIsVm2utMp57Bo0nJinGewTK2uIGWS3TZoYbWG2msaR 9WkI0Ipjk/dkGeXSgfbwnskiwXhnWg1ISfqw3UjYP6hamZCq7dBk9GTQsku8yQ26JyG9cdGI s4gTr/JLOoNWVlJmsI9Bm2U757TXA7gQWTUQvPoD2zWJQEGKw2Tx4eMF2VZRLuVDPERWpqxZ WBOHKTVa0oeomnYcFVrS0zi89Of1Fa8m9odUEuG2gjm7DwqWsxic313dUlTp3WBrM/ILYqHw 3vBFBjm92LL+lKetKFgbh679om4XBWzBGSUgpcEqbXUnM1p4mJrK3qbT7Qt0GC9MItzQzJXZ ZJAulFWxO99d8w6jGoXknCJGfEt/DGv3gMKIljkuRzZOUYnME+lbijnLJrWBXlpcVpf+UMwS VspQ40Q2H5MPD8ufMjmh+DPy+IFX5lvMV1I5trLJ/DJQrFtQe1j5xVzRuhG7ObydUKRBGT18 +c/hdf+opT2nBFOaIkW9dAqgT2mobJjc0UZlccTuehlu/JZBqEDDMGyxv0kq5E88ZCqJoP6F xabfl3oEfQWsFG8eGiWCD66A0yl2EzV84J5Sf9Avo7YKK5skWZKjCbX0U3ifD6bzEVbUjNAR oNfyDJ5uDIu0wCrd/g2Kywr00W6+MbxpA0HAI9oo+f3qgt0D9LWx3KG5aGY41G2Miqrjt+lA V4clf0tBBDdA0RSceYvQoxeMDhyvhsymAAyLMuUt/cqs2dq5P3WsuiD24zkjiElRoaMCBS36 abzOoYRNIt5rTi3km5lVDl9flDMzsclI/ZsZHBT37KxJ1jtK3tSmkOgDFRdkVt3wnAA9eqCf k2OSb9pXSZWBtiWdOVYZZ9i7KkSwTE55brEIzRnKUSWgo7V/h6kh81/B9aufYlC9OSvUDsiK mUVpGAZnGJjMQgHbxTegJMbbBsThSa8ABzivsj17Mjnho+oO9n9uNAkURbcBAA== --Dxnq1zWXvFF0Q93v--