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=-10.5 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,USER_AGENT_SANE_1 autolearn=ham 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 CEF82C433E1 for ; Sun, 9 Aug 2020 03:40:27 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id AAEDF2078B for ; Sun, 9 Aug 2020 03:40:27 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726396AbgHIDf4 (ORCPT ); Sat, 8 Aug 2020 23:35:56 -0400 Received: from mga17.intel.com ([192.55.52.151]:32518 "EHLO mga17.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1725988AbgHIDf4 (ORCPT ); Sat, 8 Aug 2020 23:35:56 -0400 IronPort-SDR: DmrBJugnPEI9j9QUM8q9XktvL8E2U/hUyspQY0kJoKc5w5gU9/1rUixpEzQlDPNyEckv/+BmPc g3HMU9BnZrDQ== X-IronPort-AV: E=McAfee;i="6000,8403,9707"; a="133436751" X-IronPort-AV: E=Sophos;i="5.75,452,1589266800"; d="gz'50?scan'50,208,50";a="133436751" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga003.fm.intel.com ([10.253.24.29]) by fmsmga107.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 08 Aug 2020 20:14:49 -0700 IronPort-SDR: 7qvW2YNKfqO+2DOzaEOgaaeZzi6kk2WTPnK2a+6KiGnGwSlR/L+Iz/JKYnNcUrVj9u/EPkzKrm RhiXHG4Zz33g== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.75,452,1589266800"; d="gz'50?scan'50,208,50";a="331903780" Received: from lkp-server02.sh.intel.com (HELO 5ad9e2f13e37) ([10.239.97.151]) by FMSMGA003.fm.intel.com with ESMTP; 08 Aug 2020 20:14:47 -0700 Received: from kbuild by 5ad9e2f13e37 with local (Exim 4.92) (envelope-from ) id 1k4bnK-00001u-UP; Sun, 09 Aug 2020 03:14:46 +0000 Date: Sun, 9 Aug 2020 11:13:59 +0800 From: kernel test robot To: Luc Van Oostenryck Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org Subject: drivers/char/tpm/tpm_ibmvtpm.c:130:30: sparse: sparse: cast removes address space '__iomem' of expression Message-ID: <202008091156.RB5dn2o3%lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="DocE+STaALJfprDB" Content-Disposition: inline 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 --DocE+STaALJfprDB Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git master head: 06a81c1c7db9bd5de0bd38cd5acc44bb22b99150 commit: 670d0a4b10704667765f7d18f7592993d02783aa sparse: use identifiers to define address spaces date: 7 weeks ago config: powerpc64-randconfig-s032-20200808 (attached as .config) compiler: powerpc64-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.2-118-ge1578773-dirty git checkout 670d0a4b10704667765f7d18f7592993d02783aa # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=powerpc64 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> drivers/char/tpm/tpm_ibmvtpm.c:130:30: sparse: sparse: cast removes address space '__iomem' of expression >> drivers/char/tpm/tpm_ibmvtpm.c:131:23: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void * @@ got void [noderef] __iomem *rtce_buf @@ drivers/char/tpm/tpm_ibmvtpm.c:131:23: sparse: expected void * >> drivers/char/tpm/tpm_ibmvtpm.c:131:23: sparse: got void [noderef] __iomem *rtce_buf drivers/char/tpm/tpm_ibmvtpm.c:234:17: sparse: sparse: cast removes address space '__iomem' of expression >> drivers/char/tpm/tpm_ibmvtpm.c:369:30: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void const * @@ got void [noderef] __iomem *rtce_buf @@ drivers/char/tpm/tpm_ibmvtpm.c:369:30: sparse: expected void const * drivers/char/tpm/tpm_ibmvtpm.c:369:30: sparse: got void [noderef] __iomem *rtce_buf >> drivers/char/tpm/tpm_ibmvtpm.c:530:43: sparse: sparse: incorrect type in assignment (different address spaces) @@ expected void [noderef] __iomem *rtce_buf @@ got void * @@ >> drivers/char/tpm/tpm_ibmvtpm.c:530:43: sparse: expected void [noderef] __iomem *rtce_buf drivers/char/tpm/tpm_ibmvtpm.c:530:43: sparse: got void * >> drivers/char/tpm/tpm_ibmvtpm.c:537:52: sparse: sparse: incorrect type in argument 2 (different address spaces) @@ expected void *ptr @@ got void [noderef] __iomem *rtce_buf @@ drivers/char/tpm/tpm_ibmvtpm.c:537:52: sparse: expected void *ptr drivers/char/tpm/tpm_ibmvtpm.c:537:52: sparse: got void [noderef] __iomem *rtce_buf drivers/char/tpm/tpm_ibmvtpm.c:543:46: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void const * @@ got void [noderef] __iomem *rtce_buf @@ drivers/char/tpm/tpm_ibmvtpm.c:543:46: sparse: expected void const * drivers/char/tpm/tpm_ibmvtpm.c:543:46: sparse: got void [noderef] __iomem *rtce_buf -- drivers/vfio/pci/vfio_pci_nvlink2.c: note: in included file (through include/trace/trace_events.h, include/trace/define_trace.h, drivers/vfio/pci/trace.h): include/trace/../../drivers/vfio/pci/trace.h:17:1: sparse: sparse: incorrect type in assignment (different base types) @@ expected int ret @@ got restricted vm_fault_t [usertype] ret @@ include/trace/../../drivers/vfio/pci/trace.h:17:1: sparse: expected int ret include/trace/../../drivers/vfio/pci/trace.h:17:1: sparse: got restricted vm_fault_t [usertype] ret >> drivers/vfio/pci/vfio_pci_nvlink2.c:76:40: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void *to @@ got void [noderef] __iomem * @@ drivers/vfio/pci/vfio_pci_nvlink2.c:76:40: sparse: expected void *to >> drivers/vfio/pci/vfio_pci_nvlink2.c:76:40: sparse: got void [noderef] __iomem * >> drivers/vfio/pci/vfio_pci_nvlink2.c:81:43: sparse: sparse: incorrect type in argument 2 (different address spaces) @@ expected void const *from @@ got void [noderef] __iomem * @@ drivers/vfio/pci/vfio_pci_nvlink2.c:81:43: sparse: expected void const *from drivers/vfio/pci/vfio_pci_nvlink2.c:81:43: sparse: got void [noderef] __iomem * vim +/__iomem +130 drivers/char/tpm/tpm_ibmvtpm.c 132f7629474424 Ashley Lai 2012-08-22 94 132f7629474424 Ashley Lai 2012-08-22 95 /** 132f7629474424 Ashley Lai 2012-08-22 96 * tpm_ibmvtpm_recv - Receive data after send 93c12f293f8798 Winkler, Tomas 2016-11-23 97 * 132f7629474424 Ashley Lai 2012-08-22 98 * @chip: tpm chip struct 132f7629474424 Ashley Lai 2012-08-22 99 * @buf: buffer to read 93c12f293f8798 Winkler, Tomas 2016-11-23 100 * @count: size of buffer 132f7629474424 Ashley Lai 2012-08-22 101 * 93c12f293f8798 Winkler, Tomas 2016-11-23 102 * Return: 132f7629474424 Ashley Lai 2012-08-22 103 * Number of bytes read 132f7629474424 Ashley Lai 2012-08-22 104 */ 132f7629474424 Ashley Lai 2012-08-22 105 static int tpm_ibmvtpm_recv(struct tpm_chip *chip, u8 *buf, size_t count) 132f7629474424 Ashley Lai 2012-08-22 106 { 9e0d39d8a6a0a8 Christophe Ricard 2016-03-31 107 struct ibmvtpm_dev *ibmvtpm = dev_get_drvdata(&chip->dev); 132f7629474424 Ashley Lai 2012-08-22 108 u16 len; b5666502700855 Ashley Lai 2012-09-12 109 int sig; 132f7629474424 Ashley Lai 2012-08-22 110 132f7629474424 Ashley Lai 2012-08-22 111 if (!ibmvtpm->rtce_buf) { 132f7629474424 Ashley Lai 2012-08-22 112 dev_err(ibmvtpm->dev, "ibmvtpm device is not ready\n"); 132f7629474424 Ashley Lai 2012-08-22 113 return 0; 132f7629474424 Ashley Lai 2012-08-22 114 } 132f7629474424 Ashley Lai 2012-08-22 115 6674ff145eef1f Stefan Berger 2015-12-09 116 sig = wait_event_interruptible(ibmvtpm->wq, !ibmvtpm->tpm_processing_cmd); b5666502700855 Ashley Lai 2012-09-12 117 if (sig) b5666502700855 Ashley Lai 2012-09-12 118 return -EINTR; b5666502700855 Ashley Lai 2012-09-12 119 b5666502700855 Ashley Lai 2012-09-12 120 len = ibmvtpm->res_len; 132f7629474424 Ashley Lai 2012-08-22 121 b5666502700855 Ashley Lai 2012-09-12 122 if (count < len) { 132f7629474424 Ashley Lai 2012-08-22 123 dev_err(ibmvtpm->dev, 37ab03414829e5 Jason Gunthorpe 2013-09-14 124 "Invalid size in recv: count=%zd, crq_size=%d\n", b5666502700855 Ashley Lai 2012-09-12 125 count, len); 132f7629474424 Ashley Lai 2012-08-22 126 return -EIO; 132f7629474424 Ashley Lai 2012-08-22 127 } 132f7629474424 Ashley Lai 2012-08-22 128 132f7629474424 Ashley Lai 2012-08-22 129 spin_lock(&ibmvtpm->rtce_lock); b5666502700855 Ashley Lai 2012-09-12 @130 memcpy((void *)buf, (void *)ibmvtpm->rtce_buf, len); b5666502700855 Ashley Lai 2012-09-12 @131 memset(ibmvtpm->rtce_buf, 0, len); b5666502700855 Ashley Lai 2012-09-12 132 ibmvtpm->res_len = 0; 132f7629474424 Ashley Lai 2012-08-22 133 spin_unlock(&ibmvtpm->rtce_lock); 132f7629474424 Ashley Lai 2012-08-22 134 return len; 132f7629474424 Ashley Lai 2012-08-22 135 } 132f7629474424 Ashley Lai 2012-08-22 136 :::::: The code at line 130 was first introduced by commit :::::: b5666502700855a1eb1a15482005b22478b9460e drivers/char/tpm: remove tasklet and cleanup :::::: TO: Ashley Lai :::::: CC: Kent Yoder --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --DocE+STaALJfprDB Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICHZbL18AAy5jb25maWcAlFxLd9w4rt73r6iT3swsOlN+xJ2ce7ygJKqKU5KokFSVyxsd t1PJ+LRj5/ox07m//gKkHiQFVTKzmE4BIMUHCHwAQf/6y68L9vry+PXm5e725v7+++LL4eHw dPNy+LT4fHd/+J9FJheVNAueCfMWhIu7h9e//vHt8T+Hp2+3i3dv379d/vZ0e7LYHJ4eDveL 9PHh892XV+jg7vHhl19/SWWVi1Wbpu2WKy1k1Rp+ZS7fdB1cnP92jx3+9uX2dvG3VZr+ffHh 7dnb5RuvodAtMC6/96TV2Nnlh+XZctkzimygn56dL+3/hn4KVq0G9tLrfs10y3TZrqSR40c8 hqgKUfGRJdTHdifVZqQkjSgyI0reGpYUvNVSmZFr1oqzDLrJJfwfiGhsCmvz62Jl1/p+8Xx4 ef02rpaohGl5tW2ZglmJUpjLs1MQ78cmy1rAZwzXZnH3vHh4fMEehmWQKSv6mb55Q5Fb1viT teNvNSuMJ79mW95uuKp40a6uRT2K+5yr65EeCg/DHSSJsWY8Z01h7Iy9b/fktdSmYiW/fPO3 h8eHw98HAb1j3oD0Xm9FnU4I+N/UFP5gaqnFVVt+bHjD/fEMAjtm0nU74fdLr6TWbclLqfYt M4ala7/3RvNCJGS/rIEDRPRoF5Mp+KaVwBGzougVBHRt8fz6x/P355fD11FBVrziSqRWFfVa 7rzDEXHagm95QfNLsVLMoJZ4W6syYGlY4FZxzass1HuerXjLpQDBKiu4ojtO1766ICWTJRNV SNOipITateAKF2Q/7bzUAiVnGeR3cqlSnnXHUFQrT01qpjTvehx2yp9JxpNmletwRw8PnxaP n6O9iUdkzcF23M6IncJx3MDWVEaPTKsGaHaMSDdtoiTLUqbN0dZHxUqp26bOmOG9Qpm7r4en Z0qn7DdlxUFrvK4q2a6v0eKUVk2GRQJiDd+QmUhJdXftBOgIofOOmTf+wsB/0DO0RrF043bJ M3ghz23pXMeeNovVGtXYbobStstu8ybr0LepFedlbaAra/NHw9HRt7JoKsPUnpx2J0UMrW+f Smje70ZaN/8wN89/Ll5gOIsbGNrzy83L8+Lm9vbx9eHl7uHLuD9boaB13bQstX0EmkwwUQv8 CaA6W6UcRcgp6HRtTwtXJStw2Fo3iraVic5AQKYggr0aUgj9nTbMaHrBtCAP10+szKA5MG2h ZdGbMruyKm0WmlBy2IUWeOPKwY+WX4Eue0qvAwnbJiLhnGzT7qgRrAmpyThFR6UmxgRLVhTj wfM4FYf90XyVJoXwTz3yclbJxlxenE+J4AlYfnlyMa6942njjg2hs/ZrMk1wiWeH3Vp0Uyb+ 6QpXP4QZiahOvfUSG/ePKcWqVqDBmzV8Cg4yCXqw/xx8nsjN5enSp6OClOzK45+cjsdSVGYD 2CfnUR8nZ06T9O2/Dp9e7w9Pi8+Hm5fXp8OzO7qdxwdgWdZ2TUg9JloH1l43dQ1oUbdVU7I2 YQBT0+Bkd0AURnly+t5fjbABhVVWSja19tsAcEkp0aTYdOLeh+1vZw5Gas6EaklOmoMvAlSw E5kJQBFYJq/B7EDbWmR68nmVlSxwBY6cw5m85orqrAYQZnRoumWKvXe8+RFkfCtSPhkDNEPr RgwjqXPSqg39AXqg3SOAWkAfYDnp9muebmoJm47uy0hFOTtnqBHJ9zs32vC9ht3IOFjvFJw/ teiKF8xDWKgBMH0LxJUP+vA3K6E3LRtwuh5IV1kUFwAhAcJpQCmu7QaOBD9isHwZ/T73Z5JI iT4T/02vVNrKGtyauOaIChCUwH9KOBQkfI+kNfwjimvAQmVo0FIJ5hqQE2s5RmBV712GLx8V pLarj0WC3+B7Ul4bGxijRY1GU6e63sCswLnhtLz9qvPxR+y/SoidBKi6CnRixU0JZqrtMCk9 RNzoGLPmDuyPBBdEDaAqMKXx77YqhR9pBsAumh4NMhhAdMSKxIDzBnChN1D8CSfdW5la+jPR YlWxIvf0207CJ1hU7RP0Gqymh9GFDHySbBtF21+WbQUMvVtOb6Ggv4QpJfzwaYMi+1JPKW2w FwPVLgseYiO2PNCL6QaiKtiA2p/XEGyMw2mxWQIY2xsGBEhBdGRtmqUSU4aeeJb5XsFpMXy+ jYOdOj1Znvdwrcse1Yenz49PX28ebg8L/u/DAwA+Bn40RcgHcN13vF6fpOP9yR7HDrel684h 9AhljKeoaJKpXR/ilLJmBiKyTXDwCpZQhw16CsUkLcYS2CIFcXeXFYn7ts4QoWCr4JzKcq6T QQyDfICtWdDRusnzAraKwYdACyT4DUn5V7sAiKggdjaChckVJXNR0KfBWjfr0oI4LMyADbpR pxeDbtRPj7eH5+fHJ4jWvn17fHoZ4TzIoYfYnOn2InAbA4MDgxjNECFbYDt6E46Yu27oUEXu uHp3nH1xnP37cfb74+wPMXuyCt7pAlruo3ZWoKEI8PRWX1FmC+0Cr1wisy6EaesSwjyDKYew f8UyzKWVTbzyA6NX2ZlBu0Riw+uw3ymlE2R1/CWkzXRelqCrAOc00VUNQ+uQt8dFInpAz6Fg nqHVpZ9r9H9UymJKzM56n8ikVAkvCl/Pp0o8hO6ZlmceZsKzlaAtrTLBAsSBHNgPAxvjmMTM L84T4SOBsoksflkyQNUVxmEQdUBYdHl2dkxAVJcn72mB3tz1HZ38/hNy2N9J4B0AkiP658ol MCCc9BYYY92eZb1LmwsFNixdN9Um2AhMW16+GyM7wB2t8LEARNTpxoWtk713ZOgiL9hKT/mo /ACnp4zekKx3XKzWJtC1UPF6H1tJXXOPx5kq9lPwxKouiYjx/Mn7ZZj+Z9SRcgGBLOHI5oDZ Qc3R3Poow+0L2/fgss2zaJRNlqzak4t375bTOZpE7ytP3iasbZ9TWQf0BhTGamWhfAw/RMKV Q8wIKrVIfJjZBciwXKBEP2BXsoJ4UIaZCnsYUwWaKOSEGhJkPqBQWBcx+UoXpTv0g07S+sg5 sQY8YRJbnozt/I+u3F2Rzc/ry3NfErPZcFpKFpnBK5FGfYq0bqsIAvb09TamaYjFmY77jNsi hezUMjTu5eCa729eEF7Rntk6rcobhaxtRtEH16DMfZI9/FgNmFXESwj+CGBHAEcNFRd0jVtU xtU+wDkpqwpJx5KA5R0CxMw+kWKCT6f5KhpRGY8oLSkEJpJy6ysh/IZZh2kK7G5LNbbrUbLo qCLFoh5fc1hd8LjTGkKFUtC4wq702cw3U+5HET1lkpQcGKQmJqVjJgXL/NN7BWceFL1XpfRw f79Inh5vPv2B2V7+8OXu4bB4/Ib3yM+jXmnwA6AqX/3fGAoFO5BAZMSoLCFywEIAEv5oW67k FjRUKuhvzDwfHcgQh0G4sGq4n391Vg60gWE2PlyFYWWClQejY/MbmGGBQFVUVM7Cmg6X3M+N H29bU40HGvMjWhY81sy6LZsr8AiBFyxrEYBA/A37sKKwvt2/96fvPngfPQM7Fs8utCp2SFwp qTCjugqymb00dMLDxDYS44SvJYJH1mticGjU22oLSxdODoe4Ng4OjHvD1+EgPvy+hE2J7Gv9 +5TWhRcii9dXAARTPAV4HDuXgTP1OzBkLB1gCmJMm+3sr4EW+dPhf18PD7ffF8+3N/fBzY/d esW9a8+eggqM19AKQRTBxnuXGEFaRn/Bju1nUmY/aIS2XQOKoFOw0waYg7AZzx+OR1YZh9Fk Pz8Y1H+utvaM/XwrC5caI4rjTY4sESnaL8zMbh1fh5+f/7F5U7LDbH2l+xwr3eLT092/XaZl 7MStXKhfHc2CpoxviclOXNHAcY6LsjcOMPT9+/ETfUT6iYhP94du6EAapofk8BiFx7in2AUC 95SFGdOAXfKKir0DGcPlbPs1BOCYjPT7cBgKJ12nw4AX2bAF3i2pwzM41ehKPUwRuMWbyvRR 6Oy3/HV2y+ZR/OXtJ/4RphVYPkD+YLDTIOiN4aGf6xtdu19UcLJckrMD1um7JbEBwDhbLv1l d73QspdeuZgLl9YKCx9izwweudIsxcAEIGvJKVRWQGO8ANAGM2JYNuSlPaWpi2YVhiM2RrCp M4wOMHnLHXLx+V3mpSsx6vr5kYyCf0XA6+J8DEc6wZyJolGe2IZf+ZGo/Qnx9STIwiyxY9aN WmFi0Ls5gmlgspAl4Wn3yHOFaimAtHWbNX5GJWcRwcYMqVRRAR5ziTrPxeN9qPdLZnBe3E3u kL4A24umHLfA3p6iEJxQb9swLHarVWBRg+0lDvJg29C3uzUtQaKIJWxZEQh0GzXLHhO6vUru 9bhr62bFTZH4gZEoCr7CGMoF9u2WFQ2/XP717tMB4Orh8HkZVj2iKp9vbLw6CTUuesZcwIGZ 4Pi6vKtl7MhD0Gqvv2JZlzzDi/drWXGp0LqenPmfSCWchAl8d+dSl3Q5iYXDvEJvXAg9uWzz wrAMATXiNypC7NjedSa/gkPfGqZWeH080u2e7RiWWnW3zrYeSckg9d3lISij0+U4OHW74iVA SGKrAZBiRVYbONm6BKuTuRS8Ccs8kVXwIIHaUcLUpU+NsifjWpf2etnK0ZtRwsps8KRvSDUq o97mLk6AlRabYHB9IslV9HlLtvvoXF3L81ykAuP1yTmaticWJZaQ/o2qTRzEp1vzFJNv8UnC o7zh+6P3UHH8CKrbZmCCWD1EwMnr8zTeHYoRnbxnKHXRFkngbv0ORjtYYRAAPbgyXD/DCOdb 5jlGDsu/bpfh/0afYIt3oQ91TKxe77UA/R4EYwF7itz9VGRuN/3Fm385icQwekLKNvcpQ2v0 B8m+ZloTzK1NKmPiEoKv4AIeo/QGjMh1dPygVfjZLgSclLx6PPC2x9iYF5jkL/2ut8f5fpon +up2jlMHWDb8GL8SBpPLczWAKI3JxglY7a/rbp5u/3X3crjFiqbfPh2+gQYeHl6m6utcfOi+ HZKgaLzIox0UcEQilGLp0l01Bn5j45KuhHn5JyAKwPdJcJb7U4EuFz5sglyO/choYBpAgWJV YblNitWOkUdHXIHFbUZUbRKWprtZwFzxMgQGGH9jE2eKHVVxQzJkTdO7biB2xCTRtI4kbyoL Zru8jKj+ydO48huzvn6txliZbntcg/YEaN/aJfQeNsZxyIAAjgADjMj3ff1Q1L0u0ch2zxLi WSm+0i0cK3d10619ZzIDOe0nR+KSA2JWeDdkC/0zuYpYeDmO/syWbxlYJViu8Ipj7B/HR9Ex xu/GHILZcUkplcQLU0DXa2jscDPiDZKNZZc/EHHwLahv6rakm78teUzL+ipdx/HFjrNNH57A qn9shIq7QUDUCgsTsYS+f25CzLRzmhhXBHdRc3R3J4iLh8fFboAXsbtqyJDd12qPJ5tsGzXS AOGqePfTaRW6zwZFho8FJeZIPlqaPSfR1WcHdmJaoj1zHCsMItAyYZCAW03JIa/dlhNz5LZF 5gCcYFj7iAvHsY9TeCpyv7YZWA3ERdbegcm05UfEFKx3AVtjH3ngohNWwTa3cGBagje9ho46 CHnj9XS3hfW+j1NMEZ9P295mjcGW+uWmhcRgAQa7AwPgMSS+jBKrDt97Ddyl9tlp4lwpFTMj KmqNbKMaVjQvfq0R4WZTuf3tj5vnw6fFnw4/fnt6/HzXpYXHlyog1iG0uUIOHIYV6xxmV002 1t8c+VKwcPjqDlMRDot7QxjIJPz9ScAwJBMgsMYiPt/B2Uo3XeLATyJN9EfiSF3UWUhG5087 qaY6JtG7o2M9aJUOj+kKOoXcS86UrnZsVCR8ZHFMBi+bd20pACJWXvEwwCObKiCbNhUcU9Dd fZnIghYxSpS93AarCqlrlu7M21cQBWAAv0Y8CYuCsIjY5WZkGp0JZOlUC7AZH8Nrs7H2vFW7 7sLCY2FRcqJXJLEQyZSOmZGVEoYsbu5YrTlZTtmYpsimZLAl0pgiMMZTHqzNLppUl4GwHjIA 48jdJXR+w1sOgW9aeJXuiW0JxFIZL6irU/BTRz6VminqAObaQqp7+wrhcKr2dQgYSXabdzmO Pqitb55e7vCML8z3b+HTiSF7gZWyeLVCZU9YKVbMS3SMvoilJFlnUlMMnouAPCapoxH68ys/ hsUgHQ29uR+JItnmOtybTTm++vBCIWgnpMttYd14+KbYY272iQ+HenKSB2W48LPtt3/yrmJ8 ohgMZQjWhydugGdEWMPNMJXnuTJdnYy/mqrbcF1DpIM2dOLbh+wlM+Da01aV3qmwpt01hl2X u8qfKBx+Xs4xrcuc4Y2FzKWQO88ixL8HwQo7AetdsLrGo8uyDC1w29/LdfJduq/fV/7X4fb1 5eaP+4N9Gb+wdcUv3g4nospLE0ax8COMdDshnSpRmwkZTHxwA45tMYQgd3duQHa05eHr49P3 RXnzcPPl8JUMzo9msscsdcmqhlGckWTL9Oyrgxq8VZQ195Lq9jkhrwz1Gcy/ct9ljKwt/B9C vjidPpGIo1583LbyHZZVgQ2mPbHqPdTfboj+U0L/4ZR3HUPV3rlKWVsl6y4mzqN+E3SLgQF1 BIcko2icotmITnE8XoEvIp5x+7dEZl1TIhjpoGRYxmYRKx6H1hClpIPFCNIumroc6y/a7b6V orKdXp4vP1zQ5mLuimpCH6/5drWEvaq6ZAZdcn4kTqK4sBw7tg9gJSlWurcd1L0CBM1VysAi +3YE1jpMC6V+Khd+ONccnPyemJOFTJg6hhBHXw41t9fhF+zPAVxCvNvvCPy3cA/Ch2/NyhbX kgQpsw3en5/+dw2K6/P/usGafnI+2+RaGwpazMlfvvl0+Hx/83J4E/d9XUtZjN0mDR1BkMJn OUSSs6OIhG20459LQuryzf89f725v3+8nYyz74d8h2Y7CXZ/dh7zY56Oz1GGstbSudZQyzoZ BPlH3mS4guguZzp+AibFlcKIxqgGy67wINq/G+I/x8r6Nyx9BudYYFwbfFQTZkhc5fS2zx35 740wfzN5yd4PHl+DAg5elyx8/WPzELIq9tYQ46ND8kAHY7KZFxbE6fPufPTBvlvdJOhQedWn VS0mqA4v/3l8+hPrfIjqC3A4G/J1LMA+75Ed/gL4ElztWVomGB3ompnw8ypXpc2V0k9kucHs PN0yq1uNfwKD3AvhlmJUitphE/wjGXThbz2EIC1gakM+LAahuvL/rIn93WbrtI4+hmSs66Tv TDsBxRTNx3mLWhxjrhTqbdlQz3ecRGuayt32eW+CEWrIjZh5c+wabg1dKIzcXNKPkzre+Fn6 A7gtLVvP87ieWTE3NLTUM7s9TtcnokJGJJPWPTnsvsnqeQW2EortfiCBXNgXTCzTaotfh3+u jgW8g0zaJH7utbfpPf/yze3rH3e+7UdOmb2L0k2D1m0vQjXdXnS6jqCcfsZuhdyDaY2XZdlM ygxnf3Fsay+O7u0FsbnhGEpRX8xzI531WTpyDx2tvVDU2lt2lUEMZmMYs6/5pLXTtCND7aMg 6wdnToIVtKs/z9d8ddEWux99z4qB16ExkdvmuiA76iF2bVLPrtmfE31xVPzOpJrLtwNY3Iw3 O+gFj8pAoGEzhOBPy3ruGhqE3e0QnSmrjzDBFmVpOmuBdTpjnVU2kyoFFSUZzNDP1ovTmS8k SmQrKnRwN3NoR3RwXdCRyM62Bava98vTk48kO+NpxenNKoqUhurMsILeu6vTd3RXrKb/5lm9 lnOfvyjkrmZ06ZbgnOOc3tGhAa4HkfLqp5xSr6izSuNf0pD4B/DsY49+M2D7mE1Akp3Jmldb vRMmpW3blgAh/jgLUW3mnUZZz3hKnGGl6U+u9TxcciMFRDsrUZwBMtdo9OekPioz/4Eq1ZSp Vf5NmsrtH4PyvfFV+Fdourw1dlgrQUeYnkxaMK0FZa+tW8a/66P3bfiHHpKPAfb5f86eprlx Hce/4tPWTNW8WsuOE/swB0qibLb1FVG2lb6o8jreeant7e5KMjO7/34JkpIICoxn99CpNgBC /CYAAiBkRfhCpt/Tsgtcrpg0i1hQXnxc3z+8Ozdd62OrlJVgL6VNpU7iSqkmldeVVpifsfcQ roDujDwrILA60F+BtRS4ZWCZ6rgmtKVl/TGhjDoXAU4BEg9mtoe1Gs3uMEfEj+v15X3x8XPx +1W1E8yVL2CqXKizRBM4JnILAS0LlKGD9h7VTgxO/OtFKCi9eWdHQeYJgVHZuXHb+vdkx0fD t/sscU/CRCDlD68PfSj5Y5nRPV1LdfoF/Pm10JvRuE9O8xSCo7H9aQ+endykIBlZgEUNbOAE C94eWjA02A3MM6pyu5iGtZJe//H6zY1acInR7Ym5mkUg/8fc3ROAU0KTqecSoS2hau0TLQAs k577qYV9lpNgIHGDeOYMjPupPNXzCCiC+EZ0FRAqpZ8M+1RNNxGSGEBmugQcOOocpVfnTyYz YBsTyTxYi8HfN1AViHPA34NcMzMga73R44kbogcQUZ39SqqDIPDZmkmBUpUMsRUKSUlRE9YJ QDZ3karAt58/Pt5+foeEbC9EnI0qlLXqb0TGjwAaUtLOI2AHxCwdoB7eDpKidNOCeX/924/L 89tV1yj5qf4jZ/HTUC69eIzSi/7MHAphWDR0XqBXUje+Av2sRuYy6efvqq9evwP66td4slGF qUwnP79cIQ+PRk8D8e5Ej+NlkbCUl7BlDO0gT9PbbMerXnoCjJOD/3j59fP1h18RyLahIy7I z6OCI6v3f75+fPuDnm7umrpYoa3lOHLqUxYTh4S50fR1UiSC+b+1M0yfCHxsq4Le3mnr/tu3 57eXxe9vry9/uzq1feJli9QSDeirFbFODEqtg8pxmzTAVsx5tJU8iJhRCy69f1g50cdiu1ru Vm4DoR2Tk7sjhbJapO4dvQX0Wrsf8mqsHbFiILAboZIr266fudf43AqmCuzRXf6I4ygJxsT/ VIBPE1HbHszH6N5xQGg/nz7xhHaT6fT51+sLXPSb6ULsagOTVorNA2UzHD9fy77rqO9D0fst LXQ5hdX2R82HgaTpNMnanemB6k/e5q/frGyxqPwL7JNxojvwvHYdAhBYnR/tAaUWP7dFnaHF MMCU0H7yV7klUfOrTBk4CVLTtDFfzERTXFhjnMHTYb/PXt/+65+wt37/qXaqt6n62UUvTbfq I0hfYqSQjtTxJdARSsNHnDZNpbTn8dgfk7BHEYy+OmSDpyKfOqgpMi1tkluj3/JRj2A6aOc8 ujc4N9fa043GeVBn+MCtKW3EOWAMsgT83AQMcoYADFuWTW8iKqmxLvrHSvbHE+Tot0EDk5UI OJhgE8tH++UTbEz5gYj3OPzASU+mJTLNhUafT7n6wWIlYrQoX0rD9+hiy/zuhZt818KUnCpm QBx+M5R2k68PpSGXwQW5iMO2KA+sMTM4w5MRkJk+13VcATlzAit/jJN60UoH2uWkAFUKxofW CYqD6IeMK07A1MDJORorpVoldPa7fekGf8CvHkKzXfcYDSwgp/CAGDkbetFkFhf4QH+KO6J0 Qd5ip60znjqEbbJeZXAx1waibxUWHAFaFECggOb6lUQdq/gLAqRPJSsEqsDgTIVgaNqo3+iu ssr0UwPNGXyIXK8igwCbHYIZz60nXBHtLWFuSJTUwRvkZGScxiE/15j4qmaNl/1tBEyinwH1 ATPJgGbddvuwo+8nBppotaUSHlg3UsduZf1Ky5POmHOcY9wouSRt3HC6gQRkZylVZ7aiXq/w gf61YYE0q7bwiQ52H9B5VdXzLwJUe/mY7PZbH6/dQytbdvbJtIlpW+7YGzfw8kitjBHbbec1 RmljHKBtQXRP4bQlyvVh0gMA5sAkPfvjMoDtDiinXsHoy2CtcS3wepKDIYZol7Fa2dkx64tb fdnIrpvJkOW54HMdFKBenN44IucCVVmTmqsv1tKGa01yuBSkU4pGZixuUIYzA01mH2oDFzsG qSO4abur20yj2L6+f3MOk2EA0s1q0/VK6UP7gQOGY5SWJE5F8eQnEJtuNuLiXCSUVHFQIpG7 lluRFV7fa9BD10XoTjKRu/VK3i0jgqs6ZPMKXm+A0+Rsc2FOdhR1nOeUsYfVqdxtlyvmRs8I ma92y+Xah6wcR3rJS1k1UmkL+QplEBwQ8SF6eCDg+ou7JdqpDkVyv95Q6kQqo/vtyqWV3q42 qoeT7u5JWMYk08s0c2NLwf22Vxofqkh9riEZI8E/Wdkjw/gHcyWmFZQxw2DUul5Rh4DFQmaH BOWqs4iCdffbh0245G6ddPeOmmCgIm377e5Qc9wai+U8Wi7vyFXitWNsbPwQLYcpOQlLGhpM iDxhlVgsldzeuv5I7fW/n98X4sf7x9vf/0vnZn7/Q6kLL4uPt+cf7/D1xXdIvvaiVunrL/iv 26stmCTJFvw/+Dpzyc7JXMi1v8xHJaVVIjfohPX0UtOPj+v3hRKGFv+2eLt+1w+ozbIintUx 6WX9UyCyDZ/xc/SAyyPWC9TvKZGlCfZteAKnydNfI2cWJAdq5SddPqTjmCCOoDXHV4hArx+W J5CI37Xsj+sKgw8sZiXrGbIJwVsLtFKANuuJB0QdpthRI+WzIw6Cj2zh+bjoyKSico7wholU Z1ZztkCgwr9wSgYN0Y9NZOMU15+131t8/M+v6+JPatb9518WH8+/rn9ZJOlvaq392YkhGIQW ZPJODo2BhmOGNJpWf8fS5BIdkG6Is27JeHp48ERb21Audw2fkv1NawngkHLTKMX0oLTDosTq nC5aCzMItE0GSLLkFoXQf2dE6Dvw1N98sDU8F7FkFIJhe+gI1xcBkvRVMzRNPX5seifG6wmP b15ddKLYEM/UH7z00DcpS2YVVHB17stLmFHPi2TOjOUnNquvt5zG7RFFELXM2mfLFBmrJWDs 5QQSfdVeFVcQYQy7V8hFZf4E2NROQNe4/83Mcu4G/vn68YfC/vhNZtnix/PH6z+ui1d4EuA/ nr85OeM0L3ZwNy0NKqoYgmlzfRuYC3VuL2dFiFc7NDjhZ+aBHqtGPHqfEErmiO5XnQdm2uJN VEmKfHXn9yW0jjCFEFGOLqwwz8qY/AcIDNFfrEEg2CmXM0g0h8yJ7jb3CDYqEAiqtXokGMUz k6OvURZDPo55Q1NnPNLCt9Lrkhl2ChioTLgrxEOxPW90TBrtYA5MlIZWN0K6t4Spvg2WQrY6 aRFaJikE4sq2EbUbmKmgWnVGkCElFAK2B6V9q7PnLMDj29uGgU2gxxTq0gg1zr4SqhA8pjZM QDTMZx+wjCtUIWAde/Tw1NaYCZMuBxPEKwU5qgIfmc8cF9o/5gGEbAOIg4dJ8XtJADl5JDYY wRlRfS2AQFnOjvzJa5fa8URLuwzDeM/8z3A/6vGTXk2mGGjUgRD3S3AyOrOvbyaK0RAjN0nd CgqJBAJ+SICuZeK/6udgYdhpz0OwD8F9BKnCD6KdPpDmBMNOGNcWObUjO0kvms9AQLogWAxI 98y3MO2NtOd/jVZbD4MSS1nYJA8ZBYFzvojWu7vFn7LXt+tF/fvzXBLNRMOxLX2A9BXa80ew ajLShUdEyPVyIqikN+kG3eOzqo47M0vUNKsgg6O+xXCTdKQxvKaBbScapLRcav5BRlglMqES AOLFqajUhIlbymh0EWWasQZ5+QwwxTKKKOOBS7BCphRdCYgaKjgdAaI61LwQ55qopmUzHU9V mYZcmrV9iMTAkOxPrKHNd/xRpyr7JFYm4GKmox54wOirWgwexPRKq4OocxfCwM1UwCMqZg0/ pbThbh/wlVb1kzzYrsSkPadvpUXQ9bg90XVX8P6sx1M/8hxgfOYB+6Y1y4a+WuZFIFMla3wn beMm9Pr+8fb6+99B8beX48xJooIu+gc/nn+xyGgpgkxR6C4Gmq/OrFQp8Ouk8vzntDPJOtk8 0H7ZE8F2R/dQ1bSc9txsn+pDRVuGpxqxlNUtfsLIgnTaQdjXbjBQYhtaqbyN1lEoimoolLNE S0joUUt4WqiSlHyEirYcnzxK2vFMiRPKGJVaMqzYZVqwr65UiVBIYlI/t1EU+dcIzoCpsmv6 LLaDWRZJTr4z5H5VbU1lKxhdpSah4TD1KmQJY20eikjIoyCCXqWACXXzrfE+KXEVybcG0pfx dku6BTqFzWPceOHEd/R6iZMCtsuASafs6M5IQvOnFfuqXAeZ0etOPillRDsXhQqGnOanBicM W9/iknLlcspYtz7vsKfCNlChszihfm0PpxL8U+ChpMA7rC7J+TZJvA/sTg5NE6DJxeNJhLzz B6RXCaKVB55LrH1aUN/Sa2BE00M/ouk5OKFv1kxJ3qhe/kZGFNGZKtBS2vNCaUnjwUOLSCUp 2juMU3wImADQXFAWN7eUdWafPpSvaN8nqYY78NaDw08JpzlHdysxX92sO/+aHAS6BjeQvqyl NS0UYB7wd4Y5J0hPA37xaCFBWuD6sS9CMxHw3R4k3SDJXrBSScjB4lAzegsasaHFNhH4Xyea d/oiWnkiRJCsOH+Jtje28X1V7XHX7El/LqfI4cQuXJDHFbyC03U0Kka7Elzxhg5ceAuJh0I1 +YHTMX7A8eZaA40feQtx2oUdwEufbhkIQ93T0SwKHhhf0YWKKETgI4AJsbsL1UwhQmUCVuGs iJb0ahd7ekC+FDfmS8GaM8dhKcU5uKzkcR+wVx+fKEXV/ZD6CisrtNcUeXfXB4LQFG6jtdIQ Vl4+RWfU9YBbH5E0eLYd5TaU+gVQm0ixpYOYj/KrKtoFojm8j1b+3qm65eFufWMr0CXhCTRy /RZPDbp/hN/RMjBWGWd5eeNzJWvtx6YTyoBoxVBu19vVDbmyBJOEZ8WSq8BMO3dkfDFm11Rl 5fnwZDcO0BK3SaiDhP/fjqzterckNnTWBbVmvjr6U8MvXfvqM1Hzs5K+kCCir49S2sHKKVgd UZsVfXVjIzZZVGxQAPa3UZqbmr9kU544+D1n4oaqVfNSQtJcdOBUNw+Hx7za41ffHnO27jpa kn3MgzqG4tnxsg+hH0njnluREzgHFOjAfEzYgzqC+hMLKCGP8EZk8Nhsipuj36T4Vbn75d2N 5QZBcS1HwuI2Wu8CbmeAait6LTbb6H5362NqojBJbk4NxJc3JEqyQsmp+LodztKA16Bbkrvp 0l1ElbMmU//weywBy6KCQwhBcstsI0WOg1pkslst15TDGiqFFo/6uQs8DaVQ0e7GgMoC51W0 W4cskl2kakMLZLVIQs9RAb9dFAWUakDe3drSZZWAjbKjrW+y1acW6oK20Dbxm8N7KvG2U9dP BWf08QtTiNPG4QTC7svAoSWox9DcSjyVVS1xKr30kvRdvvdW8rxsyw8nHCdmIDdK4RICApIu Os+IDORPaW+atmxkGhqFWmhTwK1N54zPG/Wzbw7eC58Ie4ZndLxrwDnbi/ha4uxWBtJfNqG5 OhKsb1mvxjjVsax1k2SdCO/AlibP1TDdHNtONLRdGRCrOhBklKb0NFTSYE1jChOBdw6pA2pe hIL16zyQfKuuabj0CmiT/OHn+8dv768v18VJxqMHGFBdry82AwJghlwQ7OX518f1bX4jePF2 zyEJQ39JKfMzkE8G88KcYhSuRfZsuPIOB4or7GYmh5FMCzfvh4tyLKMEdrAuEahBsw2gGimQ JgIeRSwwfo2QxYZywXWZTlodheRKjgz2acNwvgSEG0UKCuk6FroI18PAhbcB+q9PqStJuCht pecltsfZxdewJ+KxH66TdSwur5Bv40/z3CR/hqQe79fr4uOPgYqIPr2ELhELkPppq6VaGHfh mzR9DSsFfWrpq1Ait8UkL8s0EIHgHMTnoq9R+M0AGf2FrNPvr79/BL1KRVmfcPoxAMAVOJ21 EJBZBjFQOQqgMhhIcGNihTx+JgvysWB0djwgKVjbiO5o4gF1zU/v17fv8L716PSGBs0Wg7t3 L+YYEXypnsgq8fNnpfh51oWhJCKmwJE/xZVxHpzsBhamNjnqyHHQ9WazdSKAPMyOwrTHOCXg j220dMMaEOJhSVbvsV1F9/TBPNKkNk9Uc7+l3PxHuvxI1ws/xIrAetpwqlCbsPu76J7GbO+i LdkcM5M+rWSxXa/WZGFArekV73yge1hvKJVpIkkkXbe6iVaUWjFSlPzSYiPKiIJUX2ATo5bm SDTpXDNMW13YhT2RvFWZY0ypxk7xouYEW/EojQsoUWG1mqmzzBnGtZreHTXAxUqJtqfkYFzR ZuhLfrdc09O5a2+0JGG10ovoKscJvWdPI9jCQwoB64KzJ322IUn7nq+FD5CelSyvkLo8oda0 081EEJA/R4Kkihvq1nMk2GerI/ntfUPeWyF870bBT5gTPAdb4Bi1EatlI0bmRR9ppFJlwB8K x2eP6LZIA5bx8SMzL2yf4sKaRrivcI2Ygu21WZtAaa/QqonJWmlkHHpzZyKDJPkBEWBq4UWk XypK5RpJvh54eTgxopZpvKNGhRU8wXvM9LlTE1f7hmW03WCabnKzjOjr3pEGjt7ZwxA+UVcz arE6o5Mf1SxRZ1dEVrjuGupwHfGZFOzeyf9kFqHOfIrzImgIiHXgAZME0si6VKJWwvItqgMr lXQZSDo9kR1j9eMWUc33TJKJAyyRCchXXaaUGORnbxsN+6lMGs4p6dLuXeZ1DwTbbutiu+z6 qkSbsUGy9CG66+YfM/BAdJolAVUMdmNdsTmLuGDRhpZLrJS27pZ9fGrbgNvaIFl2Dw/3m6Wp f7jlhRIpXNHJgLWEEnOO0rc4qFQtpTSAO4sYu+kM7RY6eUfLaaveKFGqfaS0lJ8Rdu0X2ptt kMovvFFC0Wc8nrjWCz+hSIpoSYk8Bgt+oTm8ug62PJTlaMC3p76+NGawiKlZy/vNKtpONMFP 2aP/U26WRPd/kNFpUH5wbyXZZnm/XlvvYB+33TwQK0uPdlO1rHmCmDSYEOFZn3b5+q6bryMN xslPDEpJWKv7HTGRkoKtlwGTmi2aclbDa+i5+l8c8JgwpGlzXt2rVW4GMKz+abr7zUDnV9ag H0Jo2YLwFPl7SVOIu5mTsgbSG4hGySL2OGRu8PcA0dti5cFXqY2i9emjaAZZ+RAseFoYJega 1GYzaJKH57cXnW1I/Hu1GOIJLa1XSyIhiEehf/Ziu7xb+UD1F6cOMWClhSPtzEITUcsZi1zE BLRhFx9kbatdLXtTYDI6arx1GlU4ooNsDeSqQI+j25JNEmBZx5+xM0olLnjSKKIICEO4rwZI X0qlfLtMRkxODfaI5cUpWh4jgmOmzlEjxlh3aGpCTOHVhOXGWED+eH57/gam2FleiBYH1JxD j2Xs1Fbb4rsPE92vwUShXGelg5g7yLk1TGh5fXt9/j5PHGglEZ2oJ3FdgS1iu9os/XG1YHWi 1o0SwFr92l/rP3JJFIjuN5sl689MgUzML8k3A33jeINXYhz2yQp7odQOwoSMk1/lHaPOAvRN SXMteNkXSUwjy0ZfRzuPeLnYBp7mLfhIEqhay5VmRUu6LiGTNbyedvbvv6lOlnlwXMmIXrfS 7Wq77YjiVTYGqs4swOXPH79BaQXRU1HfYcyj5w0jaEAu8MtSHmqYAeG6jpTjEEQeBQ5Sc4DB 6QWBPV+Fp/z7OFjcgSByn5JohE8slJLwGf6L/BQtRSZIb0WLf6Q6WSZJ2ZFR5wM+uhfyoaMm wYgLiASWzB43X1oGkUrtrKc9fHBEAnR9/FQzOV+wlvyzT2o2ShnRCTtny9YlitkpbeABtCja rJbLWVe4tDenqz2f1fFsK+dzwwS3GZp4iVmd1GH9rxSFVWN6IJrxaGpaIbJocM3N66ATjksl yizn3S3SBJwbdKJHsVfLISfz6Vla2Iy/RusNNTNrPyJuyECAT0efY9I2uWcYtygyG4F2tGn9 DHDJU5KzlLQJF1XHzN1kjv31NUIW8NQsJRJBHgx8SzhAcFLLAdrvqVNBSOyL1x/SPJClTsm2 vGa1Uh7Pan1BHFPgQq7s9+RTjmX1tfLcGSE7XUu6KuiUjvZhoamJBipxMvnzkCQTw1CuQABM m8h0yavA8DD74RwINNYENZlhEVBN696SAuSUxnsEme9C+tHpEyUB6RR3MN9Un/ixNJPoCPfP Zev0wATrdXKPv4555TQUW2Xz+tNzp65DD3rYuMTw9gFe6bF0RsGmTVcdqJQa7xUxoTRMsLul eeCRtCK2bhfGAp2hF3UPF6XklKnrBTCCdFJmpUagFJAT1ottmxCmffQsGIlqGClyHTs0Y7Z4 gkGixpd+TLCuIRRwfP3Z3KgvvoW1iHFl42ssyOsBb9HcLUk3nQl95yZQS5qVZyCsBwcRctcM Vm/gCO8huiOgfh/xW79nkztxUtHhYbRZ8t2puL+pqtmzTw4c7OEw4tRiSdS//6XsWrrjtpH1 X9FqzswiM3w0X4ss2CS7mxZfJtjdlDc8iq3EOuNYPrJzb/LvbxVANvEoULkLy1J9BaCIZwEo VKnRG6Ru0lGTFE9SMsOFAacaBNRydGMVGYIVrmwKeWslo8350mpHYwjz/Cyi4RsO8UUSESno s2N8MMthg+9/6LhDFwsyH2bdRABNo3rQXN+uPvKt7b3Uan/GuAaddCynIBjP8OasWlzcg6Jo mjwoB2xQV/xeD6qzVck8vvGg0U7AKjtDRWJ9vsVNqP/48uP525enP+ErsPDs8/M3UgLQhPbi nAKyrKqikcP+zplqqsFKFQVq5GrIdr4TmkCXpUmwUz0yKtCf1CQ5c/TFkUpYV2PWVbTSs1kH cv6zi288UlClZrVYw+Tqqo6tEup5IcInyK19O09Bv8lrxc/T3h3kDPTPL99/bIY9EJmXbsDV PZ0Y+nqVcPLoW+oRloUoCI004uWzJU0ZO0aLlYx0sYJQV5bjThW14feenkbkjwygC531zFnJ giChTDtmNPQdrZVKloSjns+ltLwQE1inescRg+bx4/+nYebrjEwZ5H99//H0+90v6CxbpLn7 5++Q2Ze/7p5+/+XpE1oz/mfm+unl608foU/+S802gz5HjDjQrMtjwz3mq/O2BrIqvdhR082W ziD7TUGsqIuL1nizcEqV8ilE+JQWMcbJLQwftp027bXclESlwWiyyNrf+6Pe/rXm6QCpYjNp 2un9CRP7V9gLAc9/RGM/ztakdCPrvq+ROKQtm4rLTY9pf3wWc8yco9T8am6oZsunrtaZQhsT w5l68c2hSou8dCPO3kutg0C46bI+bVtZcHZ7g8W2lMrrnpTOtzySIH0MzQ73V+2GDKvXqWHz 4E/TRFdMvh27+/jlWXg6NSIJQTLQN/GB1j1XuCRFf4X4CbRe2ozN/YWWcGGaB9BNnt/Qg//j j5dXc6kYOpD25eN/ybg/Qze5QRyjRzE1MoVskjpbb6P9ojWgqGSb+vjp0zNarMIQ4QV//7fs NcWURxKnbHBjR11IwPeCDNI9hCDAhMEG7kFMRBQMXG/haA/aHLgkgS2v/rBR9EFksJSNrhsO TM3LDD/Fqdykzln1KBFK/PfHb99g5uZFGAObp4t246iFgeB0cUKmEQmnDuIK/2qLDiqm1wH/ c1xqyyN/kjxzqjkc+61aOlXXXJOUP4a7GJW0j0MWjTq1aD64XmQUytI6DXIP+ke7p17CCCZ+ imumLVvKgHJp1EzednCi+SxDNAP6RtQDk6rh4qk2vq3rnPr05zcYRWbbr2azWqGCbvVwPjM1 1Dm0aC4MS6Y3ieihDkX1zA+f6boMMgtXvn29NWeqesQ0I2h8YBY1dGXmxa5jXQm0ShQD7JBv V+4+j9zYizUZ9nkSRG59vej9tfOTnW8Q48j4PiQGYUBWWBSSD9IkPNDrv8+CIYh9swOjsaot L8PqdK5HBvnHIVHBwjbF3pk4RxzSJnMrR2KfQmbc02W6mbnK1HO2d3dGV7zWcZLsZDWHaORb 8Lftxh/i0eyY5cT9w8j22AtSCEh17ioaKM98T3+EKEWQ0+VTxujxCPtPtCrSRx2su2fJ3vTq LguH+9P/Ps86Xf0I2r78aVd3CSyMFuLtKKe/hRxm3i72aMS91hSgrpcrnR1LuTEIyWSJ2ZfH /1HfN0BOQqFERzRkqNuFgSmHXzcyfosT2ABl3tQgfAmUW8NuKcwutetVswstIqgW+DIUO9RG VEksDwoVcG2AbwWmTHYBpoIxDQTOSANRbJEsii2SxYWzs9ZE4Ubk2FG7zU3Z5WFf04uilPPH 6VlHbQwFP4Y2ksMMrcQpZX7kKYY0MmrRanQW/HXQ7h5lnmrIvCSwOHmT+Ooh9D36bYbMNpf2 hmC6GmNigtQepPB2fYGHjOiGX74wFtwqtl5E4Vm1DFrlYueuqx7MShL0rRi5MpsRvmZly1PB Si1Cswqb5hkGnB8wFoPyuJkNZtr1XuCE/mx7rnk5IXWmNec5pdkQJ7tAsWVcsOzqOW5AFrCw 4DCyvFSSWWJqnVUYpKGo0D1KsKo4tlNxoWa6hYXtpX3OUh2CuN66zk65Gemzeslp/96LRnn1 1QD1/FoHT/l7O5gP0xk6ATSm+pRw4QMdy42UuxsNIWuHY8YSrzEtFrl1anmvsdTZYn67UUP9 GChno0tSECROHCrlwmGoUwuAWinfQhF0+WHeQlfX/FUA3sBENoMfBi6VYHR3QUQULPzatzNL qB4fS8m5TrzxxXXnhXJ02oUOXWLnBqMFUD3gyJAXRBulIUekmkhIEOjcW6Kyeu/viKoQenlC tNqsmEdUrzym52MhVpYd/Uzl1p2GwLG8+FsK6geYsyiVZGE4Z8x1HI+ozjxJkkA6mufTs/bn dClznTQfE4ojF2HoJiJAEKaWc4CqPNq5UkkKPaboteuo7qVViPpglSO0J6aeCigcsp4mA648 HCQg8XZUVK58iEbXAuzsgOWzAQppu2KJg4wOxoGAzBVUKKrfr3gGG1+qNsZyOqQYsLCB7UpF MHCzTII+jB35gfwKHJ2pWoyiZi6m7cMJDjckX7EuDGVwP6X1npLhEAV+FNjMGAXPsQrcmDT0 kTg8h9Xmtx9BP0ipcgHYatn5IqUxczyVp9D1iTYv9zVhj3FD8WTPEkpw4XmXqab7ggqZ9q5H Ba3joU2OBVVc1WYnWH0sLzxuXHw+3BrYgoMYgjOgqh8KmDikYEMGKw09Bcs8nvuGWDvPIyqL A7vAAoRUJXKAGG+41IZOSOTFETexACExuSKQRFR9AOK7kb81I2A0vZCemTnk06+9FJ7dVmfn HLoBvgQl1CKvfkBC1Gyddb5DzWRDFgbEylQXzcFz93Wmr4q3pqpDn6JGPtnT6ojePUgM0VsM 9CnfyhBvz4zoPmCrG9cx1VXrmBpwNVXHQPXoj09oHUZiCDzykZLCsSOaTwCE4M2QidOpkg1q /JwbRzbAbmyrLzZdVkfyfuc2DeJ5dyKJ06lmITe+2rB4XLUJ740usS+qqTvQFsu3WX7KDoeO LKJsWHfup7JjHf1IZWbr/cCjBzRAsRPSnq9Xno4FdPjUGwurwtj1yW7kwYYqtMzZUWyZsxFa X3Vuz8x+7NomTfg0yywD8+bmFwGL50S+bZIC7I1FRcxT8Xb7I9NuR/palFjiMCbm+G4sYFWg Yst2bAebZWK1AiTww4hYSc5Znmhuj2XIIw0uF44x7wqXKu9DBQKSmbLTYDlrkTg2dTzA/T/N IoGckT3dbmG0cBR15u4cYsYHwHMdctIHKMRzoy1Ba5btotpNiApiw8CigJa3rmGR3NwMZK4X 57FLjqE0Z1HsxVvpQfSYWi7LJvWchJ5vUm+kbmYlBt+jl+CIHInDqc7IE4QbQ925DrnkcGRr teMMxMAB+s4h6xyRzU4HDIFL9JBLmYZxmBLAEHvUVvMa+1HkH2kgdoldFQKJFfBsACEsp5N7 RYHgPkQ36aBYK5jdhq11R/CEsjcgvlynlUHA8DRDydQn2wtW1EV/LBp8HDofiYtYc1PNfpZe Jy3s9iPohaOlIjksIAaLQ38WE4YaJKTJC2Hwdmwx2mzRTdeSKXsiivGQlj3MTanF7IpKgk+G JyP632aS+f6lgt2YZdlcUqkymR/55schwz5tjvzHGwWtX0IXpImtnN/xeJIz82Y9YKyJFJ/r bggzW+pIR+Li1p8qYGaRbybWzrtelqVDdspbqgYYukxpGSv36sscoFOny1mdkuwImDaraOT8 6x9fP6LN1vJG2ziaqw+5ZjWKFOkORKYyP5J9Dyw07fat5lXRBYHliIYnSwcvjhzDyFBm4a5X 8I2c4u9yhU5VprqkRgiqIkgccgHisGQdogo0dp5jvNtUWGq026dNh/k352ni+PQdAyZHOPA2 S+AstMqzwCF9B3mD6R3WDNtc1SB8TIcCTQDZdGQbdZC5/mh938o5tON8pJ1K2Oy7vJakQ+QB bWhZmfkqDbJWTJuqDmhyWG0kKHG2sQjTxRtS36XNhymrW1s0CeS5L2rtnYAECr9CjlqWIAZ6 YZwcOrauZ96kzFQ+vVBU9fhjpcfhRh9FBss++8YQ7yidaIbjxImIcuPEs/dMjif0ycWKU5om R4fQD/UaAFqi19VyGKOS0XGPSllu6JRpaXGaQ3u6vMHqvdlsx2T4feHlmnZDMsrvbDRJTVMw Tr6PHfpQh6NNMIQW0y7EWZFtTaOs3EXhSH4AqwOH3qBy9P4hhg5LHYyIxLIXrnQ/BkQ1pXvf dTZn+cVlo3DVMdTPH19fnr48ffzx+vL1+eP3O2ElVy7uVU3fppzh9opredX89zNShNEMLpA2 lLAL8v1gnAaWpbnW93SrQkFTb2TnXCotMCv207SqU9JZWsdgVxwo85m4ZCTt8wQkm93yMldr QYOaOARV3FNqUmsWkhI5kM+hpUz0T58tDwlq4lJiKDaGMlU92J8RmJ3lzdNyi2/qNAuSnnNV wwMAY1ls9dJr5XqRTw6iqvYD0haAl3kz41TSDO/rUZ3EJfAyxoFWsbebE0Nr6csPbZNuKhXX Ot5ZHHDNsO9uKz7IEjgba75k1ylPXO2pFka6lhApMhOoRrblYc3H07rW7KlLJ9YHpcZ7boDY EQ9a5OeANk15yfp20LiWtnqUW9xZG8ChHNErTVsNqfx8cmXAd9dn4eeBnWv1sfrKdQvyfuMj 6mplB03kqIw4BVIVmhVCpT+Wx7QK6TZREpoHfkIvUBIT3zxsim3uJVZsbv/N9ITpt9REaeK5 5HdzxKWLPaRN4AekYcXKpL96kzwNcsV3M7FguQQ+KVvJqsR3yDbB83QvclMKg0kp9Edapu1r WIkPlrZoW3bO4pECoLWSTQC+pLxZOiwwtMKpMZEHoCqPvBpLiJidbVAYhbT8iyL/hnDIFpCz vMKjaf86FtiwONyRonMotKbSlHsNtFi4akLF3htflXUuCE52jLoLFHfpMhLHQWIRDrCQ0rRl lvdRYqlJ2EsoPhMVxPNtiLz/WBFqcyGhh/MHS9BIiekSx07oWHJAkDQP1XgS8mO5KbX+MnKF 5y3IG81sGpwZLKw6BnMUTBPT12UJgk2FE1oWEgBjb/fW1IA3VG7oUxsThWnRoEnM8231LxRk b/vrTY1bx2Kyk5vat4a5PjlsTP3cwMg5zlS+NUyo4LZqAKX7rWrQ9G8JM/3fS2qP5T3oynHT KRck03R6IIhIHLfsq5L0s91niwdk+Sk5Bp/KJNfIt1xKPkgWhOyLnCWkWFaGdxdb7qxtHrbT srR5oNw2i6P4zpJvDerh/T7fznqsbclLYdO5kbbP6ppKzCsYnRVRW9ms0BsOKU07lIdS/jge E4hj8kOXlYpvBzQXONzh+LliRYwcZEshS5+WDdRb3l6tbKKYuQjjJP34+vjtM54hGK/C06PS AeFP9FzaQCaUG4zLMUWnKuvXzQRcVdHhBfvZvfmuymXvBvDHVJddOeVyhCOk5h3sZ0fJ6ctN Fo5yC92aslJcYVZUB3w8oWZ8X7PZ+4lJP+xJSGQHEtUMHbl3bdUeH2BEy++rke+wR09ft7sY CsSwQ/yu52dX9i24MlRFyh+rM/6yjGxTZEZfOxO0bQ4bsb6+2q7W5prUeocEDoPWGkBAV6tT B9u6qWtl01eEj0WNnq+tNWjDMB074WscCr1oQrDsVNzc3OLu/Onrx5dPT693L693n5++fIPf 0IuIdFiGqYSToMiRH70tdFZWrmoOsyDN2E0D7JSSmF6eDT79qkF67WsTk39H2temsy9eby2M 0lQ+5ZNZZc4+zQvVsdRK5VvpbiCdbPXcP5rmeWalTqR7CQnPyntLyr9T6HRE15Z8EPERI2oj 6+7+mf7x6fnlLnvpXl/gU7+/vP4L/vj66/Nvf7w+4pGFWk/4oB2SKRX1t3LhBebP3799efzr rvj62/PXJ6Mc/eMm/a3MXOJmNou0J5bODumkTJv2fClSpQlm0uL9ORtGaqrWmMWRTECSlwvx n32zkGXOpPwRSPJN+Pa0Qt/nepNftEigMgRj3+ghjPb/yef8Y3qkzap4h87Sfsqv0ymvtVWB I9UlNwp7P9IX5Ijt2+xELeBccOH98Cg7NkN6Nzs2VLpO9/j16ct3vbNwVljtIDNQxGDmt7hg lHjZmU0fHAcWkzrogqkZ/CBIqK3nmmbfFtOpxL2sFyU5ISznGC6u417P0JhVSPHMVWfQWVl3 6s37ihVVmafTfe4Hg0tunVbWQ1GOZTPdgxCgdXn7VDVeUhgf0H7i8OBEjrfLSy9MfYd2hr2m KtHz8z3+l8SxSys8EnfTtBU6WnOi5ENGX2+v3O/ycqoGkKYunMAW12Flvy+bY16yDg1x7nMn iXKHtiOV6r5IcxS/Gu6hhJPv7sLr308CMp1yNybf9qwJmvaC4SdFj5IPBVeWtirrYpyqLMdf mzM0WEvy9SXDh3CnqR3wYDVJSS6W4z9o8MEL4mgK/MEYm4ITfqYMY5FPl8voOgfH3zVvVnOf sm5f9P0DqIiWCDpkqoe8hEHQ12HkJtRJH8kbe6q5psTUZve8Kt6dnCACsRPr3LUkaPbt1O+h P+U+2QxzqLiJhbkb5m+wFP4ptYwkiSn03zkjaRRIssdx6sAqxXaBVxwc9w0J4jS1VA4ryvt2 2vnXy8Gl30hLvHyXV72H/tK7bLRc0hr8zPGjS5Rf/z7/zh/cqiBNU+VZb4CGKmHRHaLIUgO4 pU2zceft0vuOroChP1cP8yQeTdf345GKe7PyX0oGu4N2xD6XeElClQujsiug5seuc4Ig8yJP Vnu0BUlOvu/LXL6QkdaHBVHWtPXeeP/6/Ok3XTfN8obNmzPly7MT1NyAEaRA4bauCssMCaSG P6nVs8H1aMJtt21/UqNmdCo7tBbOuxEtdGBfso8D5+JPh6umYV0reTeplITqezc0/i60j1xU pKeOxaFszq1BO22owsYC/pWxctYtgDJxvNEker6xDxHL79xCtp0aRgeHn1noQ625juz7leMi Frm4mY3MvY6GU6+MCLZYKwSm4UO3c42pAADWhAFUPHkxsKTtctdjjhvoyUXwRRiJaTOGPvlI TmeLFDc5Cpp3PxsbwDS/RIF6GaZB4v7cUrLMlxWZmj+pqs7EKT3tbzfzBFx6bAvOiowa+Oao VT+rGJr0UlIhdnlF9Vl31BTeemQG4bA3hn3Z96C7vi+suwixldF6TX7Qmqp3Pa1nwY5AHyqa QJdS50gvqT7VFaOI9YPHtAUbSGUXNJuiGfgRzfT+XPb3Ghe63Lu5IeeT5eH18fenu1/++PVX 2NLn+h7+sJ+yGmP0SrIAjZ8EPsgkuTaXYxt+iEPUJWSQyzY58Df3YnIpWCodGUoiwL9DWVU9 TLQGkLXdAxSWGkCJYTb3VakmYQ+MzgsBMi8E5LzW79xjYxTlsZmKJi9TykJ5KbGVLc6xAooD 6H5FPsmjA5kvx1TxrXjAk0a0hizUDOStrMQKfPMxlMqOWzeUH0ODkk3/efFbalgbY3XysaFk 2NWeVhdAgZo9tLg0zqsiXSHZA+i9nvYqSaZj96CTtgctTQqLFEZnIpUn3gnYYAWhrl3aLBOL 2oiKjA3l5tyqVpNHeEK25dmXFytWRjt6y8B7ADoWowUxD85uRIv1z4rTnWgGNfsYrOzhQUxu Sgtw4poVXWCqxg8TlCmzNg2iR/rUckbJAmUmRl+YIsJnV0u7lkwTFCiTT26KFlB+poh9oGhh uijVGe7+oVdHup8f9M6DJNDIs4I+8Fk4rK16adu8bV2lmMsA+puvzgWgi8EqobdHT7tl4yOb 0oJxxKZ9ra8NMw2WmxTWrIv6rEIBszMbWurYDUfDvob2H3aBfFmNnyNMr9RJr8C9TlsX2heh X1P6WRtvOP1YCImw3fcdSn9EsI5cZatCLp18Zt0/fvzvl+ffPv+4+8ddleV6sL3b1IonFVmV MjbfxcniIEZFJ5vhW/e3ZrByzG9dNnPhJgjXSvb7sYJpjrYcjhWKHLrgTa9LCxO3e0qovDvU VPqUznu5Xd/MW3/9ItWJYjIuSXMJPCeqOgrb56HrRGQt9NmYNQ0taaWHwpv7zxu9ZCkFVil8 RCeNMlhjYIohl/pZWV97Uat7+54LN+5HlxzY/zF2Zc+N2076X3HlKana7IqkKFFblQeIpCTE vExQluQXluNRJq54LJetqV9m//pFAzxwNOi8zFjf18R9NK7ucl+ojw7hZ1syZl2k1ZkWnCtm hKLWVbQAi6Q1jHEDVMW5BbRpltggTeNVGOl4kpO02MLIYoWzOyRppUMsvRv7i4LX5JDz6VsH wV8H1wIY1z02nYtKhf2d17KN9D5rVZceTBYWHKFqpcjhnB7TGkh0AO7z/RlvuZTRJHa1y+WM KL9TQeA5VA7n4ExPNBx0gwse9lvga6UoNXXhjYpURqlVdRm3GyOk+7RelywVpJvTPUWJ1HWa iJYheebTfTZZMMd6X0yYORSV3GQtn6po4nppKJIoLbBabWkP1r9tuE32eX5ySENt2l9A6+Nz ppycEc71hWxTap1V+/nMM90GQgussqDVFhgqCkEa1XK0pUm8WsqdLaOahCckZlUUFIOz5ElW lg67URA9X0ryHDoqJG8qYvSwvGGGaQhRUNLBpnDo6gpLlJjRiHnzzknhH60QRRF09jEJ7q4S 4oXVaa6boBFt0qhIkniReqdVlgubazf1BNhQeqwwTKz8jJGP7KPIM0PgmD+zssNR3HQQkAff lF830RJXzkVnIjNvhm2VCTKnVv7L44mrKEizFLgZeczmfuSw0SHphePtguzpxw3uOE+0VVJn xGWljPNbYUPBkbWMnOBjo1OIEOc6KIIxMPm1AfK2QwyEErNA0nhXBuhLZU7SIqHbUg9DYvr9 9xFPfp8MiqoWrtWvDDgtmBcsZxhodLPRe7U6XyUMdejaUUZT51O5tzQLT7iojI5Wa+9xh6rS 3pb11vPVB02ifsrMqIrsuJgv5qk14PHp3OHQmJNF7ocLczw47ozpo6ZVQxNTPcnTwOqKHFzh exgDiz4HlKMrifyjUW8dOAwo5njc7EuGP8yV84Xvu6I75RvZ9aXP+uRXcbtFeRUo6tYoZA7I CrMbCJG6nbOVkJarpALAggQFbZ2aqqHOSavLnilQgXGAdvAJZ7BiZgRT51mT3rpouaGP5Uny jG5zrvM7bHVooi7XWLoULAz+hZjc6Zso0k6s83Dryh5MAZ7V8XQevQxuiIk7nq5IGA1m4dxm LVcwQ70NE/ZwmWg2roiGBmnHVqdYGvKKlwJWBhVUflZCCh/S3xZza1BqE/G0zW6aVWUkW/FK puu1HS7c3HHNC/VcDZN3aRQfB9oNWYPpCz7jlPvGpsvidLRRzW/sAJZlQVMbF2tD3ayawcDp kJmpDa1TcOHpyIt04Gnqp5VwX2yUWiLOneKNDrMytgCpyllJBaY3ETKxuASxfoFoM/19WiTS 4b4fQsQPXGtY+t4qP66iIFzCAcDO0mlH4boJF/NQSLlagbC9gWY/p7d1KZZkjaElrON8EQiz Eaw97ChrMnO0UxzNIbWpuaHT5lr5bvwS38jrjX9e3m827+fzx9Pjy/kmrvYfvb+s+PLt2+VV Eb28wWXED+ST/1XvrvWZA5/dhDk7Ry/CiLmy6oj8DqlVEeieD6dHnGPMERqrEmq3SEGlMglo Bvi6fEOxdxe9EM2PIkF7uZ/cP6efKl9tRPLBGO3C92ZYLcoI3Ctn0YaaW74kiO8ZdtrXC7Fy Ax1Cunu2CgFYa13QEyVSaoDLLQDedNe2EjbK8PjKqnNkgF8/VeR/m7RqwKcsLnfzKIpVdeE2 acIA/cqMW3q6ctVAx4pRDQ4dc2FkfCIr3QeOJndsNtWWmJE9HNsmcSnFoh3ATQH4uxq0OHnB xTYerg6uyFaB4Pgg7S1tzX/kFp7jrEMVW2oG0jXG8yI3w5VHV8yCdj2uHwRv556H2uEbBeZh hMZxOw9D1GTqKLDwAsenhg1eRCQMHNZmFJEwnEx7FofasVFPrBM/wommZXFp4zELwsxetoyU w7ysJjNVVlIidMW8wIi5n80dSeJU+Fmzk1ITAbg2PwaJJVKCQCzQfMx9cx094J4LNwxqK9zx iPSKjjA9ayt04AXufZFeZo4aWVQFVljcYZAFWA7BHKuPTLNCPUKKUKpNWAb4dD1Vo/JCEj5O pWzpBXMU9+fo6JWyKPCm2gAI+EgtSByvum2TL8wNSjEoF0UJbnRnWFMf7Aa0DK3XnHAVcxZN DQVChGuhxA5dUOEMKRvBLJbOKFc+agpcixLrI5JZIW1FxogRLI9W3qI9xMm46p6QSeiWNgRR UbgS6y0ipAaAWJr7twrh6lSCXrnO81Up7TGwQUyEHswWLgswqhTPFVK5PYO3Rs6Gnv+Pk3Cl ijfUALde2wtkC92wao83fPyJWpYcMC5ceEjrBzxAeygwkQ+hTSWlWZob8APsSoh22qzB7i+Q MV/A3Re2WrttMvMdhykC20cJQxaYPYNXa3dbl/B/jae+o0S96fRQx3jZ65x2ulnuBzOHdWhF ZjGzLC7aUvMQH15YQwIfNWWsCIRItTK452vucYhVPGF+iM/2gsL9fygSS2z25oTpFVSllg7H V5rMxEFFJ8N1RYcN+F6GT5lzz+H4oZfZkFW0/EQmuw/8GaGxH3xSd4Nk4Jlbzzotj92maNcg MwpNNYROKomP3tzaqhQCLCC+v3Se7gkRqTghCQXG3J0EYp8QLwjsM0pOHfIoNB3uIiKomQtN AIkW8AhphxxHxyzAMRUFcGx8FvgSx3EtCRjncewggCgBgC+R4R7wCFkLcjzClBSJ4wMhWLKY 4XGvHGGtMO1D4HiaVktHOEu82FdRiBYjI1GEWrTsJR7ExsFqUfnoIAaa0zKc7t5gWSec0u2F AJJuji+wcinIPgrnDsI6tR4IHylKSWBjRUXAwxLRLu3pGxbaJ3Lug6su7b6hmTkVjLROyMlw W5NqZ7DK1rI88qKJfQdwJ5y0DSXOf47eH5s6LbbNDq0aLlgTTH3Z7zS3bzy88UBE7m29nZ+e H19EcqydG5Anc3gRqIdB4np/RKB2szGTT6oqwwZNwe3hbEQPZ51mt7QwQ4l38DjSEUy8o/zX SQ8nLvfS3KKC5SQmWWYIVnWZ0Nv0xIzvjdMmgZ2MvX0AecFvy6I2LKiPKC8TR7pTsMSx0UNL s1Qzli2wB548sxLzNa2ttrLd1LgpDUFmZU1L9DwPaB6HeHlqhnl7wi9UAXcgWVNiZ65A3tP0 IB7CGkk/1YbVEEBpTHSXtgJsXC3nd7KujcppDrTYEavl3KYFo7zfOJwFgEgWuzzWCja1ijlL i/Iee0ElyJIvGVO7HHscflRYmQ0CeicCuN7n6yytSOIbrUmT2q7mM7y1AXvYpWlmNzhxOT3n zcIq/ZxXbj1RbDk5bTLCnANSW6eyF7hDoHFdsnKDbcMLviz40Ge2/XyfNRRtqkWDn2oDV9ZN euuIpyIFWP3n/UOragV2d+IqbUh2KozRsOIjUhYnKGg8kFKZ6WcMqiRcEXYkqJdIE4bHH9Pa SkBGCvFGOHYND1UNRhnM7xih7mLtXlXriRDuJDNa3Bpwk5LcgniD5XOVfp4jqH1RZc6RrFaf KIohB97SE6YO5wOETFksJ3Xze3maiKKh96Ux/JQV0xxlCnDHh57cxOo9a8zboypq9dE9TO5t xQIdPlCal43Vb4+0yF2D00Nal5CtMaAeQcrh4ZTwWR29ASuKSTiAaXf7tVFvEpcPOrpfllaQ Vcb95f7QDFFHButIqMoE51C92qSYKNJkh1sdCjhoSGzdlruYtvAgjut08vXemCXgHabLeBeD 9zP4eSgI7LOKgs7nFOB/Fi4P98CTGiYMwtpdnBixO75QLlWBEGRV0esGvPrrx8fzEy/o7PHH +V2RGKIoykoEeIxT/YGtlgHh0vTelcWG7O5LM7FDbUykw4iEJNsUHxObUzVlOK7kFcoOtInx WSrPUYPYXDFrqHqVv0eGy+fSP8v52+X9B7s+P/2NFeDw0b5gZJPy6RDsPmPxMa6DtmtwgqNE yQbEimx3+biCRabr++XlBZ4bTUTe0E3OA8Oz3wv9Lmbiog0i1BlCL1aHqnuzEZa32/Qj+yI9 GFMQ/JLvkzCsFbqEwaxrmAwLeHCxO4CNvGI72kuDlzRIsYsPSRHM/HCF2aeQPAsWmncciYKT t8BMA9x80R86jniIG80WAsKuPLalMbK+FSq8f3Ic6Q78yse3AweBGboDIGjTXq4Aq5issMR0 uGuAEjL60ymZBHCpMLezxmH09mnHhuHxaF2RHzjds+UIY9tfA6tutnRgFKrnZj0oDUybwcMz N1fwomx0/w4qPllmIGNY9xb4lCtM2eYSP5pZeWqCcGVWaRMTMG9rolkcrrSdVtkoLEPVQxMN /zFlbRcuAr9tEn+xMtNGWeBtssBbmVF2hNwtNbqzuKP0x8vz698/e7+IWaLerm+6h3PfX8Hw IKIm3Pw8aly/WAPCGlROfG0sq0Q62XYVvOlXRBZFduQ1ZoBgKNAsdeE6ZGzaSI/GDkAH1l/a nam3juxM8DYP5E72ULjN+/PXr9r2jgyJj7Fb7dmgCpuv8zSu5CPzrmzsxHV8Qhn+jFiT2qVc 3V6nBJ/gNdHp9ZEmGleY5Q5NhMRcjafNyZE7ZGQbMta54xPVKQr4+e36+MfL+ePmKkt5bKrF +frn88sVbGQKG4o3P0NlXB/fv56vv+B1wf8nBaPadWI9c4RXijl79SRfttLYWSdF2iSps52P YcCmo9ngh4IzHbDAM3VwageG6/DXXZT/W9A1KbBla5rA3WW+WqDgF6xWFxSCssyAAGrIdKYl eUfdaMtFQbrf+wk6TjPsSqVMVp5EnnrGMaKeicZVvPJVVw9NrL9jAqDXgIYkALiLm5InHUkE sJxp+BJFD6cD+7erP71fn2Y/6aG6sw1scW8Y3hUNmTM3z73VHU2xgm9o0WxkGTuSKgTgSaee WAFrL2BVtN3T1Hi3KJJf37edXeNhCQjJs7ape2HpGuVoFi5QZL0OH1KG2oQfRNLyYWUngayP MlAT752dGHjCwGyAC+eNrWj29QlLJEgssettisBiiUS5O+VRuAiwMKVy42wEIMKn/8XKYaJQ kQHPE5/JWL7tDJGahXGA5YCyzPNnEZYDSaEPiQyRhR3ukeOhDQu/75rfCJWY4UUpuMDhoFET Wky1MyERIXHnc6+JZljMkmkPCT7x9WLru8DHNuOGzoQY9O+pzs3AZPi9v4GpKGx/An3V267z eorxpdBqhi3WeolNDjcOsW9r3jknU8QFwshzfeqjvmc6gTTnq8gl+uk9Z1BfRoNAFM3wzCZ8 FIiscZdV1D24IXetQf7x9cvng2LC+IIPHaYAl36U0X7gez4yiomcr2IkQMkMAYpUVi+PV67N fzOSaBVKnJeuGaUb9/wI6d0cDz2krQEeIj0Mxs8IXF/nNHONwFzgkxE4Wjk+XfqRw+GRIjP/ FzLRZ2lYztEa9efqdYShxTW33rIhETbiRA1WroAHIT4SRY3jesAgwvKFP58artd3c20ZO7Sg KoxnSHVCw5qhbbT342MwZUUQXeLhVNzlVd80L6+/whphsu+MZ+V2iyUJ2G6YLIlNw/+aHp0s L0V9USwDURLDVQF2fv3gy2I0uQk4NhbuO9SUjqitCErTqDmxjfyBTwT5wG1MFGCDm7sdKYpU vQ8BrPooBzYDa8KbwZYzitihJUcK0qotLHjuJMWUpQI8iqQcXWC6UJUdWy1gYaxoB/Jtvs0b jNBSASkwnnF2qC2mbWlyMDUDS4UPiZjqxnC4CpwgDr0Bi1+ez69XbRAk7FTEbSOyhWQ4gbe/ mnePoYrAM8qwH8rh9X7Tv4pTnt9A6Btq+Cc/CBw7RJDhaNHx321e3qejrUe1lQHb+yBB7c9L Eb7Or8wGOuBiOWP6AemNgeoZG9rZ/tjZ3R3Tukvm86WuQ9EcSjim1HVm2niLW3UQqUgtTNlU nWn8AZbWvQX528yA61KUcKjDcse6zfniWLPgWXWG7Mtm4H5S1m7gDEYcB2dgZwgdYlQR7IBO 4Y2NdSNbneAI7DXvyXCzV300BkDVDY20vlMLGqgEPJ9ICmtaXIKot4QBYGkdlywwQ+J9asJU GUgUaXM0vxLjSbaO263xylQNud7rC3AA883Cx0ab+w0naZnne658kapuG9VOlGAlnqY7A+cj 5t0m0UE1WiFUlCJwV8za+NMjbS7dZpkwHziPCFzcw96nbzC54W1oALsNBSRFPD/t+lTBYU1O Ct5otWNdmCB6qz9YdoQDCiUR0iFFnhZ7C5S51kLu8iJ3eZzBt/dJRazg1vD+XlVyO1yYdrBT lBvVNMK9+dsJZ1l6Augmvlc6z/2uZA1vTU22NkBTpiuWMRECLVLspozkWKzbApcoJMf5CVy+ Yd1592jPWJ42wsvVj8uf15vdj7fz+6/3N1+/nz+u2DPXz0THJG3r9LTG7Uk0ZEvVmyIxuArS 8iMRW5MxabkxK6Yk+gDu1H7zZ/NoQiwnR1VyZkWZUxZjDduUo4z8GzFoxu5uMgiBdQPMiFYn EK/bhPC1SIte2OmzSdgs4hJmubYFcHctPF1xswkt/bnkzdi5REbWVTwZewFFV+IB3O2JuOrG 46kmA4l89dr8CIYo2DKCRHYr/88odmdCLSqsJLRBa4Trct9ZT1a0/syIQqFY6M/sRT+l5c3H 9fHr8+tX85IGeXo6v5zfL9/O137N3PuC0hkp/fr4cvl6c73cfHn++nx9fIHDBh6c9e2UnBpS T//x/OuX5/ezdKxthNnrYUmzDEzTyXp8n4Umg3t8e3ziYq9PZ2dGhiiXnnpcyX8v5/L5TH+z +9PAOu8QkBr+n6TZj9frX+ePZ63MnDJCqDhf/3N5/1vk9Mf/nd//64Z+ezt/ERHHjvIKV+ZD 5y6qfxlY10CuvMHwL8/vX3/ciMYAzYjGajGly0jtPx0wPJUZWpQrKHkkcP64vMC57KfN6zPJ 4YIW0u6HJaEwrhsOR5fs7fz49/c3CIcHfr75eDufn/7SDC3gEsbk0vYXurtm/uX98vxF7xsS Mr9bl9o9/t4uTWdIUCEOTXMSBjKbsuErZVgnMMXgz8iLVwWSHq1oblkLdhhgUaAppwXlSyOu Y+LWPOWhchtnt+0xK47wx+GhTqyRZvv48ff5qvjlG22/6swY9JFmsGJnwo47GvmGppkw34Of KN5Wsa9ZLewAY/Hdo9rTmx409gbusi2+5bIts2RDGWbzZgcmnni5KMN4ditcUJbl7V5RpHtB MNnEyzvVxv2ulLXphYvuWIIfcSsVM3Euokut5lGIRcpVmTCYe04qdFLe3MXMnYxuv1nh4iRO l6gtR0NIOwRVOSarv3JEgDq2t8XuYzz4NZ8VIt0Iv8Ju6DFNhBqPtZEDq2ih3reLXy5Pf9+w y/f3pzN6uw9uzIHHnraizWKO33BEA+njzAnN1qWW3N7Ed5vvsCVhv7O2Vq0udsG0+h6RXLJq lni7Vexwli7HBRj0n59u5Cq0evx6FvcYbpit6H8mqsczusEcd2I6QuresI5sdlyP2mKdttxI 8TH5w/J7ILrJ6dvlen57vzwh27gp3I/uTqOVScr6Qob09u3jKxJIlTNdzwNA7Jtg+7qCFDuP W/2Wu8kAYLLDInlMrJaooSzAbhpMQsMkefn++uXAFRVlQ1cSZXzzM/vxcT1/uylfb+K/nt9+ gQny6flPXpWJoXN+48oah8FalNrk+wkSoeV3MON+cX5ms9Iu/vvl8cvT5ZvrO5SXOtex+p/R htXd5Z3eGYH008WexrG1nb3nGMvKg4aohf5Z+PLGz3/nR1fSLU6Qd98fX3h+nBlGeWXLFl4x UmtmPz6/PL/+g+e/M/x0H+/V7GFfDLrUv2ovyogFXqPvN3WK7felxyYezwLTf65cQ+saqNL0 NGGuosaGHfWO2DDC58eZhevXtDqQT6bePFwuMSII1NVjh1dNEWpLig6vm2i1DDQdpGNYHoYz /KZuJ9Hfj8evVJe1sm9N1TxQ2LPabzaa5/gB40t/FNZOJnTc7AAKC9eqywIuphuR3QrvPdpB AMDdFTA+k2IplH+q1tyVbyxREStrK3HhTYr4qgg7II4sOqL7wOoN1rJ5WPkcM+3iSQfoWuc6 J57axPjv+cz6bVoaWOcxbzoTvloS4keoNz4SGJ7acr4ymOHmuiSHH70KDj1nVB7kiPS1QWKV ZtNToO1jevyRJcq9KPHT0NaP8f+z9izNbSM53/dXuHLar2pSkaiHrUMOFElJjPkyScmyLyzH VmLV2JY/Sa7d7K9foJukgCZamanaw4wjAOx3N4BuPL5hMlzyihJ7A4eGcYpj93JIN14N4AUh kLmIA+BqOHIYYDIa9Q0dooaaAPaqEK89mDzpYR0wY3alVJTXVwMW8xkAU3fU41rz376Hadfe ZW/Sz9kDO8CciRzIHFDj3rgKZy4IP5iiMYosCw0oJxPJJtj1Q/X66tJUa57XB3G8z4FBokMk wtYrO6ksF+vLvuT4jxHM12tekDY8q2EnW9TSc4aXUhkKQ/UfBZgw8xs81m0GWKg/jcXWxV42 GPJwB3GQVPd93Tzpi8wZOxPen8RdXjKrBSXKrZBfmU4LClNkmPWQFXGCryxwANNl6Ct2GKe+ dgug6zGGKWKFlOrr3lXfhBV9IxElQmPggmtL72szMRhRVv5tNEboPDOmdDUb93uWomoBZN18 8nevIWf73dvxInh7YroXnlp5UHiumYGcF08+rsXb9xcQY3iEg9gbOiPWthOVrvN586o81LQF Br/KKyMXGNiiPmKljacogvv05AjZco1gzHkN/ubHoecVV9S+KXRv+LkHWsNlj4UmQXf3HDM+ FvOMhdHLCvpzdX81YRFiO93Ulifbp8byBO/sdAheHh+i5i6ap/N9YKBPcsDJIVMsnwoBcVEX UdRDo9WaImu+a9t0kmE7SCZVlEaBMq4e5/qWWC9SWK8PemnJp/qox9ONAGQgMn5ADIfE7gp+ jyYO+jcUgQEd5EaJ48nYElTJz9KyYpbxfjEc0mAo8dgZUFtAODNH/Uv++8qhbNTLhpeOeXpA HaOReIjrs8B3jWSuZ4avfQd5+nh9/VUrJMS7F2dFB1tpMuhw4YXgdLIcSYLpULbCK7uSZk34 h86Kufn/j83b46/22v8/6Grk+8WXLIrayNTqmkfdjzwcd/sv/vZw3G+/f+AzB12YZ+m0veTz w2HzOQIy0Jij3e794p9Qz/9d/GjbcSDtoGX/3S9PeevO9pCt/5+/9rvD4+59A2PbnIXt6TXv s5xw6rcpKc/WbuGA0CEuX3JazO/yVEuqLUNeDnpUPasBZgX1JtbfW8TZsJwPnF5PWqHdDupT cPPwcnwmDKCB7o8X+cNxcxHv3rZHNh7uLBhqY0wqoAx6fYudfY10RH4m1kSQtHG6aR+v26ft 8ReZp9MREjuDvph4elFSXrPwUTzsRnxovP4xFZPF2WdRFo4jHQ+LcklPlyIE5jXivx02MZ2O 6OMCNtAR3f9eNw+Hj/3mdQN8/gMGhi3I0FiQ4WlBtssxLa5YWMcGYqg38XrM9LQwWeEKHNcr 0HbilFVUxGO/WHe4TA03H+LOdEy78akEgZ3N5/rfYGIMXdL1l2tYUCL7iXCtMeJogOHvJNrM LyYDOkYKouObnVTgRd8I38ZQIhP04oHTpyFUEUC5E/xmvsoeujaP+O8xVfrmmeNmLAK4hkDP ej16kXFTjJ0+ZtWifWilgiJyJj05mjcjoRHxFKRP3z2o5k3NZQk8y+lF/rfC5YmG8izvmX7P ZT7qidrTCmZ0yG0t4EwZDuXQoDWKGbInqdsfiPpxmpWwAlhDMmir00OoOOlF2O/bgnkDSkx8 Dzr2YMCCvZXVchUWzkgA8Q1aesVgSN+6FIBe9zQzV8I8GZ5SCnQlNxZxl5eSLTtghiPq57Is Rv0rh92urLwkskyARtFI5asgVgoWK0DBLuWNtYrGfXFj3cN8weT06cnCTw5t4/Xw821z1NcX wplyzWMSqt8j+rs3mfATp74Hi925Ldk0oAZ9OsVkM+BnQZnGAUbAYbw/9gYjh4YHrA9RVZHi 8jIKvWYMdLMMQO0bXQ0HVoQRB7JG5jGsz54Nbh7m4vjqkf94OW7fXzb/ZvqD0nZ42g5GWLO+ x5ftm23SqMKVeKB6C8NJaPTtapWnZRORjXAioR7VgsaN/OIzmnC8PYFA/7YxtXO04c/zZVZK F7V0qtCVVFIM5VpqJvgG8pByfnp4+/nxAv9+3x22yqZIkHfUYT+sslQOOPRXSmNC8PvuCFx5 Sw2zTsqZcym/CPgFbFXJKRA1riEPvYE6l8x+EDPiMazLLLKKjZYWi72BQabSUxRnk35PFpL5 J1pt2W8OKK+I8uY06417lqQx0zizXI1HCzj52GnqZyDi/OaO24zPmNG7kdDL+j22gUEj7NOI 2/q3qVQAFE4t8eK4GI35GaghtuMPkDQsbn1YGY2mUIPNjYa0P4vM6Y1ZS+8zFyQo2RSvM0cn ifIN7bDo1FGmwZD1bO/+vX1FqRx3zdP2oM3spL2HUtHIIiNggt0co24F1UreNfG074iJ4TJm LJzP0PyPJX7JZywu73rCBYv1hKWSR3IiyyFvHvR4YtRVNBpEvU54fjK6Z8fkf2tHp8/hzes7 3iPwbUcPvZ4Lx28QM2sbslcQJQ97tJ70xn3JHUKjqJBexiBxj43f7NK+hEPesgQUypETokv9 aypJShZCEX7C3pJjPyIutPhNI05HBysDab8iHpdaltLlhtAyTSMOyYJ8ZrZJhfGwpJlaxQGN Bgw/L6b77dNP4WUcSUsQm4d0jQJs5l4H7Pvdw/5J+jxEalDCRpTa9g6PtHUQm5O0f9sNFIEu Po/P23chIl9+g4ZRRFaMqlnIFV3z4/bbDDOmswx8yv4SGJ0XNrc2rfilMjmHWeqVrhTAA07Q oMSX5jJPI5awTmOmuRcXME/6LcHEaj/EOcu6oDGYHEAFBOoMSra4uyg+vh+UAcVpRJrkgYAm uukJWMVhFgKDW7D7zakXV9dp4qIhgYNk0kkIH9euqLAo85zFjKFIs3CKK0IQ1iTlnxG50So1 S0B/qzBeX8U3lpCEunPrIJK7iOhs7VbOVRJXiyKUdiGjwaHodCPz3KwbZZC2wM2yRZoEVezH 47HlCg4JUy+IUnwEyP1Alhf5DLdtxPBRnsuO2tCPAlhE3wJP2v8xNeOAH9zVCwERTf+Z02QU 0NXhV8GQudluiZ+noXyqtkbOhA1Pk5UfxpK7nO+S+wnlG0YBKoAMO/MQYA0PU2PxmbPwVbBX fVd5e3HcPzwqKcM8SYqSJx0uY52bEh9KQktGtpYG2lGJCf6AonlLIKAiXeawzAFSpFEg4tpI VWajavwMDnzZc04dJSXxEGwgpq9bCzcivZvoolyIn8WFZDh6qq2UaxMiBTU3sN3paS9Ls7lL D3llnJqB6pk1r2fkftFAKlNXoaUqFWE8z5svvBXbUwo9zUPfYgau8P5Mto6YcRGh2WoYTjqL grXiD6Z+Lpr+LvHlfH45caQzE7HcJg0hrVdhV7PvWHdmcZVmNFsPz7IOv5BBNpWcFmIUxrZA rEofh38n8mHkpcuEhSOewaK+Wbq+zulz6nlalOIqMYQJ/Xa2RV8MdU5S8cJFuR9kftD7Mzdn 0fIAFKbMtzVYl05F7clqQLV2yzLvgkHLD2FyvKiLKgJvmetob9RQb1CJhxVghmbFQ7MGWs6Q 1mErsAkfS2HXyyQslfU2qe3b1Hf4L/NbqC2eeq63IEdVHoQwnoDhdtctGIg92VuhJUFjaQzW Jjt8kAr0DIhU3xSBiFp3UI0wNCsco9mpp2HyxUGZ24pKwqhb2MyxN+oeJANbYQBnPM+2xlDK 58tFQ3QQX9jPBIeRAtDX4dpwIIyBcaOZzx2jsBxlFQhl+V2G93Y2ilVgWYuzoo3j0PB2ExBq QEcTmLkaIdZ5s0xLOf28wqD/srJ8V6fRTGaVitIr2fbCtOazYmibP422zN8SM3BQH1cj00Ht 3i1+nMIIRu6duS5bKGY4CHM4Uiv4IzZNonWjWxdEkxmoJOnt774KEz+QDPoIyRrmSo2BpZFx AAOaZmzKaofLx2ca+mVWNOcJWUUKhL5wpTz4DQXmBE/nuSuJkQ1Nc4R1Pk6nKCWDKFqI3Alp cEvQaWxh3VIJTmwVcRJVA6AHw/+cp/EXf+UrxtXhW2GRTkB1YGvpWxqFARMG74HMskqX/qyz gJt2yHXri9q0+DJzyy/BGv+flHLrAMdaFhfwHYOsTBL83fjiYB6kDKOQDAeXEj5M0d0FVN+v n7aH3dXVaPK5/4keCifSZTmTrq5V8w2Gaqnh4/jj6tPpamXG+6EABi9UsPyWXVafGzatqh82 H0+7ix/ScCouyHe9Al2j6CqpqIhcxabUS8DNWwsoHlLuF0WJdwoljTiDQJwWTIQSGqa4Cukt wsgHnV8y2g7yhI5bExi1/lnGGe+fApx4m3xdp2jsjH+xnMMJPxXPUtD9Zn7l5aA9URO3Jr/B PJy7SRnq/pJtrv6cJJpGCe/OXVsPRmtQm18FFCJdTnMMxmMsJ9fviEs1CBaUZA4x69AHig/L HGRhVAe/dbINer8VdIpUIFuoi2m3BXbZxoOzT2xZAeJ9sWArpIZo6aPDCjha8zJZA28IfUxl lVWYfsk01LWQKl3sTGMZHV65etlSbGNnjZoE9ywubwuO7odiedG9LBCfKrw/W1tR+kJtQ0wo sZoqt9v7QCAI4mkAOpj07Sx353GQlFXNoLGAQXvYr411F4cJ7GtDjoltQtMi6yyxm2Q9tK8y wI7t2NxeUwbsmdkzq9/IFSLUEXGy68ex08GnSWBGWrR8ndfQDUW6DtXCo9Vx9NXQsSNxcu3Y M10we9kww990hzRU+sLe8oZaaArrw+9L7ZT4Cer51CnV03dp5/qDbq/2evSFmtBeWc5sOpMm 3SU1pQEATjD8DyNhffok4K7RJ1ftrFMUB4LGUA7Az4o0OfmtEbRuvPk9sKWVsbeWtt0R5Gn3 rK9hVvbQEjRXJN1Pz3P5luzcbUZDc0/feVqoBzyuVGHkQXiJwjgsv/ZbYS0ob9P8WubRiSnt oRrrGL+Z9ZaGmJ2hyOHXV05e3Lryw6cmr+S3yhyj9SWWI063Wx3FVjxqonWUej8RLy5qIhTd ggiJeMf9sHCnwHuXfiZlpAISKb7hXK1C4JVhSvgIXi6YP3GoWIWmP0exTHL6KKF/V3M43cgQ 11B78HkvyBbygvfCGSsKf2vdU7ICUFiM7XYLarJarMEpjBkv4zZwr6vsFkVNOROUolpmmB/U jrdJFQrZVUNbqGzdcMIrrQATcFpkOEX4F9p3bgWCiudaL1DsvHuSWS7ZqEkr/DhxAqIgEnSj YVZDagDDMJd2DDU8ZJgr6hNgYBwrhvmzGDgpEwsnGVur5EbiBk5awQbJwFrw0Iqxjsx4bMVM rM2cDGTnY04kJuo2yrGN/mRor/1KTH6AJGGR4qKqriyl9h3rQgBUn6NUNFgOasrvy2DHbHKD kK2GKcXwtxSSYRnFj22V25Zqg+8MdNvL3zdbtP5hBMbCu07DqyoXYEsOw6jKoBDQDIsN2AtA q/PMRmtMUgbLXIqk0JLkqVuGYrF3eRhFNA1xg5m7gQzPg+C6Cw6hgW7iSw0Mk2Uoycusx2Lr ymV+HdL4vIjASzRajR+JwWyTEFc5EyU1qErSPHaj8F7Z9bbBmcXLR/ZMp50rN48fezRl64SS rtNkt9XhbxCBb5ZBUSuisqwf5EUIkh5oq/BFHiZzy6NOXaR8+YQJUgPfTlA/iJwjAUTlL6oU GqRGRqZq5F6MZlwom58yD22XHXYZuUGx+x8MMbZwcz9IoJ1LFfs4u1NCjOeazvYmmXz/DlIg PtRoEwTR3MHFezUsJIalsQiiLGCe5AIa8z8tvn76cvi+ffvycdjsX3dPm8/Pm5f3zb5l683V 7Wm4qOtpVMRfP6G/49PuX29//Hp4ffjjZffw9L59++Pw8GMDDdw+/YGJhn7iUvvj+/uPT3r1 XW/2b5uXi+eH/dNG2Z6eVuE/TokwL7ZvW/SU2v7nofayrOsN8TUVOuVdwyZgQU8QgQFmcKx5 Bi/yTK5pZnAAEBJx31ja0aDt3WjdlM1t1rR0neb62ZDeU6oo7tz5W8PiIPayOxO6pq7mGpTd mBCMHj+G9e2lJDGT2kT4lqSfRfa/3o+7i8fdfnOx21/oJXAabU0MYzpnocYY2OnCA9cXgV3S 4toLswVdsAai+8mChTsnwC5pzmIOtzCRkNyeGA23tsS1Nf46ywRqvFXpgk+htkU4E01qFG5m SU1hH7bqpGF6UFPNZ33nClNyvRqIZBlFHWoESi3J1F97W9QfYS0sywUc50KBJhvj2DbQkX7h +fj+sn38/Ofm18WjWsY/9w/vz786qzc3ogZrqC/ZXzX1eFLbAu/8N7kvVgSn5ypwRqM+i+2j jfs+js/oa/H4cNw8XQRvqhvomfKv7fH5wj0cdo9bhfIfjg+dfnle3J1WgJkz6i2Ac7tOL0uj O/QAFLbmPMQMPN1NGNyEK3EkFi6cpatOh6bKAx65yaHb3Kk0qN5MjNpcI/kFVwsV7xaapk2F TyLxsadGprNpp+eZ3Nr1uapB+rjNuY1oM8AYgr1cSkJe0+yiUCOtTSYfDs+2QWRpTJrDTwKu dQ84cKUpGxehzeHYrSH3Bk73Sw2uVllcLLvLTmGl8Vrbb2Q0xTRyrwPnzBrQBN0DDKos+z0/ nEkrpMHV7bWXPlfcxNwx1p0S+0MBJtGNqizrjmIcws5RxtLS6spjv+/IufwIxVg2bz5ROCMx hmuLH9BkS81OX7h9oUUIxo7YywMKqE8qb9QX2P3CHXSBsQArQUSbpl32Xc7z/qRb8G2mq9NC zfb9mfk8tOdcdxkBrCoF0SZZTsNC2sq5J6nO7WJNb2ehIJ80CCFLcLNm3TgANVYyOW0pUAuz f1+U0lUDQY+Fz3wxzUWNnKm/XfFm4d4LEl7hRoUrrK2G/wjsJRBKCfKMeTm0q6S79crA7cJu U3EGavhpAPVS2b2+o+Mc0zHaoVHvdxI7uZeuKmrk1bC7PPW7cwe26J4Q9VOydih7eHvavV4k H6/fN/smrozUUswmXHmZJO76+XRuZGGhGJF1aIwkZiuMV3alVUR0gN9CzDIcoHtOdicMI8qx GMP4zLW9QdhoBX+JOLcYV5p0qJnYpxPbpixmDZXpZft9/wAK4n73cdy+Caw6CqfiiaPgcIp0 uA4iam5HMtNZaUSc3mtnP9ckMqoVVc+X0JKJaN/S6YargkCOb6b9cyTnqrdy51Pvzgi7SGRh WotbYZGiW0wimWgSvFvGmNLOkZj6CQ9axV8pBhvXG4oqCzYlhN20rrwkGY3Wv2mWmZOJoAp3 Fqy9ILLU4nnAfn/T2DhK56FXzde2QgjFmddCt7iL4wBv4NT1XXmXBR21wsOwOT+UmnS4+LHb Xxy2P9+06+jj8+bxz+3bT+rAoZ+dcZ9gOvmivZWUjTP/QtlN96dh4uZ3VZZjZuvmPIisB4G+ f8lYFrUGVk1BAYbTN5cS+mISKjevlEEbNTlxG5vytj0gJmEGIXJr1LgdggSVeNldNcvTuDHz FkiiILFgkwCtPUMeRMdLcz8UvfjyMA6qZBlPdUKjtrt4D0udL1u3SMxoxr1BGpQBVkaE+HDu xdnaW+jX7DyY0YXtwZIFbsNA/TGnaNUFAgvLZcW/MvUYAFgu2DlJFHrB9M4mvRMS+cWoJnHz WxA5xJ2HeJhw1tgxEys8/os8t8Kh19XrPKLwa0WNzlvipzHp+gklG0shVFvvcTga4iH7jJhd 6L3mEwaU2nxxqFQytfxiUNHSC6nF9snWXQos0a/vK8NpSkOqtZgApEYq/1GqD9bw0KUzWAPd PJZg5QI2VweBmWO65U69bx2YkWS07Vs1Z0Y+BDEFhCNionuWJ/WEWN9b6FMLnHS/2f70taRG KY+SlRtVqBaSnrl57t5pc1FyXhRF6oVw8KyCShGcUGiKDKdLEJsglRGUnToIZzHXE9BWqkKn Z4VTc07dPRVOZah1M/XkYtpAI871/bwqq/GQ7WLEwIhErjKoWwTcxbu4bdIJnh4LsajMniqv mEd6CMnwqcwc5tOQly2rnPXZv6EHdZRO+S/hMEgi7qjnRfdV6bL2YlpJkMYk+604C5mdLvyY +aT0NPSrHC8nSxpMv0B/bBqfobUyz9ADmb1UtCjA5AHODq49F710wnki0C0xVjqszFm0LBaG /12HKPZQjiItw3cpP8hSOoMw22yQ8bUxmdOxJAFZDFGCv5g1go6Cvu+3b8c/dTiS183hZ/c1 V4kp11UJjJnORw1GUyP5GUFbdQKXnUcgXETtw8illeJmiX4yrQ1knfO2W8KQrOK7xI3Dc2Zk jKIyPTOIsBdPU+CsVZDn8IHEO3UJ8B+IStO09g+rh9w6jO31wPZl8/m4fa3FwYMifdTwfXfQ dV21vtiBoZfY0gt43KMTtjkXA18ekRNlkUWhLI78t7Jj2YncCN7zFRwTKUIhdw7GYzPesdte u80MJ4uwI7SKFhCPZD8/9WiPq7urDbmBu6bf9ex6CKDNPutLXdy43gA2533VJcK+CkNvR82I JqcwrNTBlD1s9wRjGK8GJ97vDogwZgqQvp89qNnUKTTJ9W/hO9aJqAygj0omeElDkZO3Q1MN TWZzQX3DFprT1Jr6NjyDssU4fvYWxFIbnVc45dOn/YssreTQc3P86/2BKt5Vj69vL+8/XBnw GScyVIVAM+nFM634eHqO5p2//OPnxbJFEo6zoiR3KfJGIKK1g/OWe47/a9EvJwJ3NWQGpFHQ NrF2aiafBKlNdsbAts+0yCduvMKCRkPQB8XyhN+CMYNBiGpjWITuQoJuKgSoanqfOjB/N9lV N7xFbt7SXeHUmdRDyT+tOFjM2Z4I4yWQdm8SJi1q7tpqaE2gv3oTIjDWiAI6wJGXCT+YeryK Iz/l3XGbALyzBpSJe59bVggRu2qMyA/0SQB12TiowmySxOZ0Nbnbm2bqri1hSnA4N008T4DG l6+kA9MJqtdzzIgxQWW51vYrPa1w5lVvx6xWJskNKxPgqkLkxbIC5QgbiqIfHCztOkYSl1wt Szu6uVkTFHJa1i5DzIwMdvyZ+ri8iNxqFnyJRt0GxeX5sRLhz9qn59ffzzAJ+vszk+bt3ePD q49zBkglMIO2VZfvtWO2ihForbiObWnRvDB2pwIp6laj89Zn4Lhx2o4g8dls0G72/ivwK+Ba G/naRaSMB5Acan0b2LsPGNe3d+RWkiZ52Ba5stNnJQZ89mRSugyPDaXMXVF0AZliCxk6BSzk 9tfX5++P6CgAi/jx/nb8eYQ/jm/35+fnv4kUlZhXgfqmKq1KQETXw+XU0ijIHnBVIYlAVW+0 xUHa1tzlW6pE+ph3Ag+Wvd9zGxWcQ6+6JGno94MXCsNfaY6BtkbBGkUXD+YakkOAzowC81AX qV/jTtI7ilM+dMZAk4IbbTHiIuGRsyxc02P+x4F7utMcDzYPgnIc7M40GnwrhKvLdimFEzGj S9CNv5njf7t7uztDVn+P5t1IaEdTcdxzF2YtCOlVmi1TKo3Ks4cSTzbTJrMZqjSYQjfIzLs6 43DwHPQJkIZAIByipff5qJEAea6eYTofKclh6sCxPfitaEGGQ+I7EYJ2tJd/Xvh9R7mzvNbi qxLxtuTL9JbibzKQT5bq+0We9/U+us4ghuGjhOpcBnPftrarmedRxCalFJR9oaXS5Le21dDP tB2vT1hCiM+Wo2HVZL31GmTnrQ4za8FlgBrcAYcgNpTfiRw9ZSVrAsGkA3QsCAmSpLGhgpC7 H3IvggVR37lPDsl0EZYGpLosBO+9TuAu4rZzCs5oeRH8bP9LAAoWMCugUfgoVtfGCzj/RtNa oyNZfK2189CwOzyTuAfgTRgAqQsFLO3G3UuTGQgi5RoIc/LkFLf7OrPaEl3QKt+KlCc+/moa DAiQgBdK71dAhuFE3SJnR2zJmOl7ZgymHsdikvSDMOViCA7XVAOcB60pnH6iSlMeLsznwfWB wvuRQo/h1tjt8ptFtMMXQ5eyXJsHd8p3ntM/BjhDWLa876nI4zX7Ow9dZzUZknFX9KAAd4o2 A3rcRRR7oaxiwA+Bu74oGmBHZIvA3EJJSLFziLQrgBnWZNI2UShFlDaycpGeXi4ECstwENKY HbWwQfTp3+PL873G8zqMV3Xu0Pui7+XTAplDHUqCcGW3Iph7S6STBGPvfkN3RYM1+1h11Z1C MU6nQ8E+sPa69i8YE1pnV0U9lUVGbJV03+FjkDA/DlwHLH8Oh+sJY661GaqJbdDr75i4Kjx8 VIHg+g27FdvsoWm1pDRIfrFS+cFG25X19e1KhwjT2VT2HGgs0fmtMOhI6xiKZ8WNzl5azu3x 9Q3lUNSU8qd/ji93D0cR9IQJ+oTeSvn6lvLm3mf/CPlbcaBbrrYR5/X972ehcKJ76ChIJcOw u0YHknvalkTP0j2qu2wKSz4kn/6BS940z3ENkXd+lAnbBgag5u2No2ud92yK8DrRAmJNLBz2 DVEHnddUQMD9ZNTb6slHMTz8sPIfmEwpFCT2AQA= --DocE+STaALJfprDB--