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=-7.2 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED, 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 CB1A2CA9EAF for ; Mon, 21 Oct 2019 18:56:58 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id 827E82086D for ; Mon, 21 Oct 2019 18:56:58 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1729945AbfJUS46 (ORCPT ); Mon, 21 Oct 2019 14:56:58 -0400 Received: from mga09.intel.com ([134.134.136.24]:33852 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1727211AbfJUS45 (ORCPT ); Mon, 21 Oct 2019 14:56:57 -0400 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga005.fm.intel.com ([10.253.24.32]) by orsmga102.jf.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 21 Oct 2019 11:56:55 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.67,324,1566889200"; d="gz'50?scan'50,208,50";a="397422798" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga005.fm.intel.com with ESMTP; 21 Oct 2019 11:56:53 -0700 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1iMcrN-0007I7-Ez; Tue, 22 Oct 2019 02:56:53 +0800 Date: Tue, 22 Oct 2019 02:56:01 +0800 From: kbuild test robot To: Hannes Reinecke Cc: kbuild-all@lists.01.org, "Martin K. Petersen" , Christoph Hellwig , James Bottomley , Johannes Thumshirn , linux-scsi@vger.kernel.org, Hannes Reinecke Subject: Re: [PATCH 09/24] scsi: Kill obsolete linux-specific status codes Message-ID: <201910220211.dlMtQmA3%lkp@intel.com> References: <20191021095322.137969-10-hare@suse.de> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="c3epkfyxemzygzgk" Content-Disposition: inline In-Reply-To: <20191021095322.137969-10-hare@suse.de> X-Patchwork-Hint: ignore User-Agent: NeoMutt/20170113 (1.7.2) Sender: linux-scsi-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-scsi@vger.kernel.org --c3epkfyxemzygzgk Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Hannes, I love your patch! Yet something to improve: [auto build test ERROR on mkp-scsi/for-next] [cannot apply to v5.4-rc4 next-20191021] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system. BTW, we also suggest to use '--base' option to specify the base tree in git format-patch, please see https://stackoverflow.com/a/37406982] url: https://github.com/0day-ci/linux/commits/Hannes-Reinecke/scsi-Revamp-result-values/20191022-004918 base: https://git.kernel.org/pub/scm/linux/kernel/git/mkp/scsi.git for-next config: powerpc-defconfig (attached as .config) compiler: powerpc64-linux-gcc (GCC) 7.4.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree GCC_VERSION=7.4.0 make.cross ARCH=powerpc If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): drivers/scsi/ibmvscsi/ibmvscsi.c: In function 'handle_cmd_rsp': >> drivers/scsi/ibmvscsi/ibmvscsi.c:989:39: error: 'CHECK_CONDITION' undeclared (first use in this function); did you mean 'H_MR_CONDITION'? if (((cmnd->result >> 1) & 0x1f) == CHECK_CONDITION) ^~~~~~~~~~~~~~~ H_MR_CONDITION drivers/scsi/ibmvscsi/ibmvscsi.c:989:39: note: each undeclared identifier is reported only once for each function it appears in vim +989 drivers/scsi/ibmvscsi/ibmvscsi.c ^1da177e4c3f41 Linus Torvalds 2005-04-16 968 ^1da177e4c3f41 Linus Torvalds 2005-04-16 969 /** ^1da177e4c3f41 Linus Torvalds 2005-04-16 970 * handle_cmd_rsp: - Handle responses from commands ^1da177e4c3f41 Linus Torvalds 2005-04-16 971 * @evt_struct: srp_event_struct to be handled ^1da177e4c3f41 Linus Torvalds 2005-04-16 972 * ^1da177e4c3f41 Linus Torvalds 2005-04-16 973 * Used as a callback by when sending scsi cmds. ^1da177e4c3f41 Linus Torvalds 2005-04-16 974 * Gets called by ibmvscsi_handle_crq() ^1da177e4c3f41 Linus Torvalds 2005-04-16 975 */ ^1da177e4c3f41 Linus Torvalds 2005-04-16 976 static void handle_cmd_rsp(struct srp_event_struct *evt_struct) ^1da177e4c3f41 Linus Torvalds 2005-04-16 977 { ^1da177e4c3f41 Linus Torvalds 2005-04-16 978 struct srp_rsp *rsp = &evt_struct->xfer_iu->srp.rsp; ^1da177e4c3f41 Linus Torvalds 2005-04-16 979 struct scsi_cmnd *cmnd = evt_struct->cmnd; ^1da177e4c3f41 Linus Torvalds 2005-04-16 980 ef265673434680 FUJITA Tomonori 2006-03-26 981 if (unlikely(rsp->opcode != SRP_RSP)) { ^1da177e4c3f41 Linus Torvalds 2005-04-16 982 if (printk_ratelimit()) 6c0a60ec52042e Brian King 2007-06-13 983 dev_warn(evt_struct->hostdata->dev, 15c9274699e8b6 Tyrel Datwyler 2016-12-07 984 "bad SRP RSP type %#02x\n", rsp->opcode); ^1da177e4c3f41 Linus Torvalds 2005-04-16 985 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 986 ^1da177e4c3f41 Linus Torvalds 2005-04-16 987 if (cmnd) { c3a3b55ae80a0d Brian King 2008-04-25 988 cmnd->result |= rsp->status; ^1da177e4c3f41 Linus Torvalds 2005-04-16 @989 if (((cmnd->result >> 1) & 0x1f) == CHECK_CONDITION) ^1da177e4c3f41 Linus Torvalds 2005-04-16 990 memcpy(cmnd->sense_buffer, ef265673434680 FUJITA Tomonori 2006-03-26 991 rsp->data, 72264eb6dbb909 Anton Blanchard 2013-09-03 992 be32_to_cpu(rsp->sense_data_len)); ^1da177e4c3f41 Linus Torvalds 2005-04-16 993 unmap_cmd_data(&evt_struct->iu.srp.cmd, 4dddbc26c3895e James Bottomley 2005-09-06 994 evt_struct, ^1da177e4c3f41 Linus Torvalds 2005-04-16 995 evt_struct->hostdata->dev); ^1da177e4c3f41 Linus Torvalds 2005-04-16 996 ef265673434680 FUJITA Tomonori 2006-03-26 997 if (rsp->flags & SRP_RSP_FLAG_DOOVER) 72264eb6dbb909 Anton Blanchard 2013-09-03 998 scsi_set_resid(cmnd, 72264eb6dbb909 Anton Blanchard 2013-09-03 999 be32_to_cpu(rsp->data_out_res_cnt)); ef265673434680 FUJITA Tomonori 2006-03-26 1000 else if (rsp->flags & SRP_RSP_FLAG_DIOVER) 72264eb6dbb909 Anton Blanchard 2013-09-03 1001 scsi_set_resid(cmnd, be32_to_cpu(rsp->data_in_res_cnt)); ^1da177e4c3f41 Linus Torvalds 2005-04-16 1002 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 1003 ^1da177e4c3f41 Linus Torvalds 2005-04-16 1004 if (evt_struct->cmnd_done) ^1da177e4c3f41 Linus Torvalds 2005-04-16 1005 evt_struct->cmnd_done(cmnd); ^1da177e4c3f41 Linus Torvalds 2005-04-16 1006 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 1007 :::::: The code at line 989 was first introduced by commit :::::: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 Linux-2.6.12-rc2 :::::: TO: Linus Torvalds :::::: CC: Linus Torvalds --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --c3epkfyxemzygzgk Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICLj5rV0AAy5jb25maWcAlDzbctw2su/5iqnkZbe2kpVtWbbPKT2AIMhBhiRogJzR6IWl yGOvKrLk1WU3/vvTDfDSAMGRTyqJze7GvdF3zC8//bJiz0/3X6+ebq6vbm+/r74c7g4PV0+H T6vPN7eH/12lalWpZiVS2fwGxMXN3fNf//x2/9/Dw7fr1dvfTn87+fXh+tVqc3i4O9yu+P3d 55svz9DBzf3dT7/8BP/+AsCv36Cvh/9Z9e3OTn+9xX5+/XJ9vfpbzvnfV++wJ6Dmqspk3nHe SdMB5vz7AIKPbiu0kao6f3dyenIy0hasykfUCelizUzHTNnlqlFTRz1ix3TVlWyfiK6tZCUb yQp5KdKJUOqP3U7pzQRJWlmkjSxFJy4alhSiM0o3E75Za8HSTlaZgv91DTPY2G5Cbvf1dvV4 eHr+Ni0UB+5Ete2YzrtClrI5f/Ma96yfqyprCcM0wjSrm8fV3f0T9jARrGE8oWf4Hlsozoph Z37+OQbuWEs3x66wM6xoCP2abUW3EboSRZdfynoip5iLywnuE4+zHSkjc01Fxtqi6dbKNBUr xfnPf7u7vzv8fZyF2TEystmbraz5DIB/8qaY4LUy8qIrP7aiFXHorAnXypiuFKXS+441DeNr uorWiEIm0eNgLdyTyOLsPjHN144CB2RFMfAGMNrq8fmPx++PT4evE2/kohJacsuHZq125C4E mK4QW1HE8aXMNWuQAcip6RRQBra008KIKmB6kebA4UoCYZUWQvvYVJVMVvPBSiMR7xNnSnOR 9hdDVjk5r5ppI/oW4wbSmaciafPM+Bt9uPu0uv8cbFk4FXtFt9MuB2gOF2ADO1Y1ZkLa00HB 0Ei+6RKtWMqZaY62PkpWKtO1dcoaMZxzc/P18PAYO2o7pqoEHCbpqlLd+hJlQGlPb7r0l10N Y6hU8givuVYSDo62cdCsLYqlJoQ/ZL5GxrD7qI3tpt/32RLGC6WFKOsGuqq8cQf4VhVt1TC9 j96bnorinOqo2382V49/rp5g3NUVzOHx6erpcXV1fX3/fPd0c/dl2sOt1E0HDTrGuYKxHLeN Q9gt9tGRnYh00lVwfbbeomJUcO7RpSUmheUpLkCkAHlMOqCeMA2j3IgguAAF29tG3kIQdRF2 NW2lkdEb8wNbOco/WJk0qhjEhj0KzduViXAunFwHODpD+AQFCSwaW6xxxLS5D8LWsBtFMXE+ wVQCxIkROU8KaRrKmv4EfYWWyOo10RVy4/4yh9ijomuRG6diTVS9Yv8ZiGCZNeev3lM47mHJ Lij+zXRXZNVsQMtmIuzjjdtsc/2vw6dnsJlWnw9XT88Ph0cL7lcawXpSzLR1DXaJ6aq2ZF3C wEDinuz9MfiokkWFtg5REjzXqq0Ju9YMNIa9ClRbgAbl3h20AKvII7vpkBv4gzZJik0/XKSJ Q3SGr+nsMiZ152MmgyoDoQ1abSfTZh29P3CzSdsoST9sLVNzDK/Tki1POgPOv7S7FbZbt7lo iiTWtAbbg4oJ5FacR48JTwhOcCu5mIGBupcqwYqEzmbApM4ik7TKOXa9Fd+MNKxhhLnAqAOl D4JwgrXIpOQbDbjKBMaWBlBkJFw2bVuJJmgLB8g3tYLLhtqsUVpEj8setLWDZ3w20ewNcE4q QFFx0OhpZD4apTWxpAsU4Ftr4WtqYOE3K6E3o1owjoidrdPAvAZAAoDXHqS4LJkHoIa3xavg +9RzflQNah08HbTN7IkrXcKF9xRcSGbgL0tmLYjXFL0erlJhj7wT6MhUgdEZGtnuG/QEFzVS gipglFVt3zU39QZmCaoIp0l212fKRW1TgvySyENkYLhdJerQmX3oDnkGzpwZHDoPo3HkSfXw u6tKSd0rIm1FkcGmadrx4nIZmMpovJFZtY24CD7hTpDua+UtTuYVKzLCiXYBFGCNWgowayeN B+UiCWdJ1bXa0x4s3Uojhv0jOwOdJExrSU9hgyT70ruvA6xjUSt1RNvdwOvW22UTT5DDmzQI gH8HL5sVO7Y3YGVHLzjyiNV2Wexuj87BtJQOx0kY35CFgkPjeTNALNI0Ki0ce8OY3eiIWBXf B1Lqw8Pn+4evV3fXh5X4z+EODDUGyp+jqQYG+GR/+V2MJsIPdjOavaXrY9DhZE2maBMn7T0B ocqaNeD/bOLismAx/YV90Z5ZAhuqwXToLQ06gsWikkQ7r9NwBVW5ONZEiL4teGBxxW3WbZYV wpkrcHwKZLnSCxO1Jhw4qRgY8jRuJguP763gsmrGOwI/4jO2r/nZ6XDY9cP99eHx8f4BHKpv 3+4fnsi5giZMlNq8MZ2ln+z7ASEAEZn66H/Wnk3OBRrUdRv3GdRO6LfH0WfH0e+Oo98fR38I 0bNdICcAsKwmDgMrUA4Q835riGC0V9dZsJ2pCxAEdQkeWYNevN+pZinGhMp2AUy4lKBdCKwV tQ+eQ3pCNiNkdXi+CFu0sOiC0FS0zByJ8mBHZQmsLD2Ta5xKDSvqPQUfa0UKb6gQsGGczpQ0 AEc/Km0t0PPXJ6fvaVepUjoRvTzu78Wc6cdzS416Q4wdvIAJitEqlcyLgCAGjrKBLXDIyD6d nSaSrMw7V7uHZQm7rCv0DsEMBWft/PWHYwSyOn91GicYxOHQ0eTrHaGD/t556gAseGeEu9iC FtR6Rr93QFm90mVSg8Dj67baeCeBob3zt69ej6BSgmEt/UPesYavU0UDcg0oMyvL5mzhwNBx VrDczPF4mcA4niMGabTeCZmvfUbzJzSo1UqZml5mwXSxnxtXrOrjfKpF13sK+9sd9mw6Gxae wa3Rr0qQBxmY43AdUIBTC8WdHNsPlmiXpcGU2zTJu1dnb9+ezBfcJGZfEXob97V9zml9q7Bm tUah1wRTWctEaGdVowVqZEJt0t7xh70DNnsBXakKPE/Vqwh6XbkGXqVWXg/1ASobTVTYFzkb pY8+WAFmda1VtUtkLajUJJRQKdvRQXOXbbFhbnN+Sikx7Az3qQzl6oXkQZ+S11MsL4CvtyHM dLphJuwzbIuQaKcWYfAsR2V/e/WExlhc11s1WG2pkFM1K4Dx46aMXboo7cVcUJxb5lnXBq5A LKZOJwFGsAyPApQmWEETLPWyK65Fh5yc7+n1YlUB0uUrcRechemlCLBnnuXBgKU/IC+JD7Le xvSTTMqt55wkJSw0XMi29AF1yfgccnbqw4CziuBwa3BArFvnDpatzOHrzare6c831zdgZa/u v2EC1AXtZu1Alpdq6QQchVROXcVaW1yXlsxp5eMdlandlkn5Ls/VZ4Q34+rMm4l1VWRd5g16 fhhBiPk5iF7D7bUhBLAP/IbpvmIlSMB4pAwpti3z7BMAwX9s64NAysM5VSBqdIAA+x6gEx/a UaXZ+BCtSh8Aes6sfVBRIw2dfg4uh9MC0Yh7dOfoLnNBHfQBMgt7j4io8EpKh0wKllKBfwFq AmTjcIz8cHu7Sh7urz79gbF/cffl5u5A+HS4t2BdZGZaOH6ju01uYwK+dygYx1lgOrFJ2qYJ FzBSWEHXU3ylnTZroekp2OsofRrQWODpfbTTytUWJKbS9lCGJMfRVQ49KefEieEApgAE+MF5 u5Rrd5oZRBPD/M/CvYudEehL1OdoRZW1AucxwKcumZR5Is0aF6iCgB8qo0IRBOZ3V7YXYMN4 pl1ZSy99gd/ABnnMybXH8v712w9kULgcLPQHfD1opyS0VhpzF7nnCQ/U0InwMzcI7FMrFBRc M7Q9umoL2+SvCOe1bpxh6yMSrTaiArbLMcFMrCix9qf14d0JnE1gI9Tv5jAJ/oQWHNzE0A4a MXMTCaaNlSJMq7ZKx1gO+rTZw+Hfz4e76++rx+urWy9hac9cC6IOBwjyNhYe6M4P6lP0PC08 ojGXGE9MDBRDZgc7IiHg/0cjvMUGDOMfb4IRNhv/jyc25g1UlQqYVhpdIyXECyL01t68H5+P 9QDaRsZCjd5O+zHyKMWwGwv4cekLeLLS+FFP64tuxuJyRjb8HLLh6tPDzX+8SOLYGwhaqugo HCXy8R221tKxHY2ZWL2x0kt3gnNGMUHQdHbkbg3rlZ9uD/0Kxyo0aIBgf8FhmcQAs1sKGjUV McnpUZWiahe7aISanYddVc3HGa3S8CgGqxpXEmQexg0ZZz5YG4u90i1zO0AgdKe8MhwQ0Dx6 1EaWNa4O5GPc7An9HBrXnhkc68vu1ckJ3T+AvH57Eq92u+zenCyioJ+TyGGtL89fTdWCzu9f aywHIV6FS7m6wDBaquA8acmSUOuCBq8M4+iDg2/mJUfWqqmLNvedauvp2jgy+riYsxCeMUVj eX29Wd/PSzQa/hbYGWenk1PdE2ZMFi3NMG3EBQ2u2M8ObaEw2ADK2SHrVucYJSfOHSwDI+f9 9kyZ8wm8VJDIwXJcd2lbeiHPjFnQUmUQyj5xlMh6yjzI7w6uoP7YMRf7psniliZRK5XCbXMl GGP8EoQ2in48PVsXgURwscmJY1zIbXSB1T22lzDKASeOFoM7jhIoipDC1sEBQX/Gi+hZ9Bmd nvHAew7OqFNcFCLHEIKLbAFLF604P/nr7acD2MeHw+cT9483Xj9Ty6+zDapZ1Sm008e1eg7q 6cZeoKXowtmAD4U/3jlX/nI2IPpK2h48BnxEIy6aGbFNOodAF7LGEpxLVQmlQZKff/Dna9rE Dg6LXTLnOfoKgQfkRIgpAzM5FRVaCYU0QyB+UgllilY/egFRa8OhSSUArFKzrmE6x3KPCW6P aMew9LCvH0HjoNGKJnpdlG8GiFWckJhibAMweyC8PEYP8aP/FBoEF6f9Lm2FhaWLX/QSFrZB EbKJMlAZ9DZLj4zI3UenJzuRZZJLDDr1dyfu1tnQlbubsVSg4Bg7DmJCcB83Yh9LuYbOJrCD DdawevTFk+fHuSIcK18dvScfTdEVCY9qW9rXdFsrdAGgM1dwTeaO7K6yDN2Kk7+uT/x/Jq1g y7ShD32MrF7vjeRsIgwJLLe6zG0gNdHRBsHM1/NicofJQjm7GVLUFIPAbUadMYSEoX7ab5fs wdg0EeTW5lwwaA/enFepgt5+i48DggTbhsYTsYs+XzurmiY40NHH0BjdnMXuveaTsxz0uqU2 u4+rdZTx/XHFhWwwoRKvi0VaP6LuINQE2WLpPpZhTXO0IDoxR+MK7F3mrkMlxfczK3lIn189 XP/r5ulwjXWOv346fAO+9yOsnmnh19M4CyYGE0UW8ICEOxpYR0OcaFqPpRzBU59hCuN3sFTA fUiEF14aLyUqbpjBgpGk6ibsb5YjsROZ5FsL5qjMKyxj41hpHBgRaMpgIWwjqy7x31FstJiN 5vYDdg3Tlqgcw+sSbbDYU2Q9tBvwfjH0NS/+ytrKWtp9tElWvwsePmTA7AstsJoeWtge18De E3IQsaimrIfmrIyI6QvGQyOz/VCiF3RvStQW/QOacFVa5KaDK+7yqf159NLfozPU07Wg9a5L YEKuZDHAkTqfyIoxxTvP6LpOmU5RqdqazQZ2ELbST0NO/ePcY3BbhOnW09vus+32ON5bJ287 5xOg/bGIrPDFFFiosn8w4dnYZduBD4J25+igzQ6t3wVbVM3L+oKvQx9qB1s7uGBwLh9bqcNu 0LSyRajuccrwdCpC1Gfyf4hWFSmhj+1eb2SgJ+bloJfgrlwADwSvpz1UEjtyD9x89PAwYxJF 0bZBIwOmZRVyFFqcaIbjDdvIGTr+DiO8YVimJ2zdMibxX+4CL28ooUCd25c+sYE8QVChF4Vy cqiXidEhrtt6eWRyQCoDKxKmtQ95U6WDoya4zCQ5XkC14Bha6Yu1nlixGFmCVbwg5exjLtz+ yG7Z5taQ8lh/mp9XqhJ04OMmZyrSmtSnLHVCSd4FfFHvB8etKUJBYnuxsX1QCATJC4WeEax7 B5KKIPDWGJnP3Jl+Aj2aBSrBVv10Pk/1Ld68nqPGHUZjtmtUaHprkVnemr2cGilQttLiyZjz QstHwezhel83gzOQc7X99Y+rx8On1Z/Og/j2cP/5pk8VTBE5IOsN82MDWLIhvcX8wqtjI402 fdHmYCSglcb5+c9f/vEP/xUovsJ1NOSkfGC/Kr76dvv85cZPFk+UoCsa3DOB3msdfxVGqJH5 QRi14aOncWlkuLAA8wULclgFiJwSi6ipnWIrjU2JG3kSXGvKJQ7UhxwKxWKJ8J6mrRC/2Nih o7tBTI4lPPZjNB+f9i6w7EAp4/5zj8Zbo8F2OUaDhT27rpTgslTkhQcY0zYqFa+0rkAgwt3d l4kq4iSNluVAt8GS78X9NO4FWQF2XksEd+JXd+JbDMONhOv8EdO7PgZfaSQmjwILmdCzmh51 NCLXsonz7UCFgaf4WdpXTX1QyJoPcQ8NyXZJzEdwQ2B9VWbCCeKuYUR0nni4eni6QaZfNd+/ HWi+Aaucrak9VHLQPhk4UNVEE3/4LC9eoFAme6mPEsT5SzQN0zJOM/AF4xOeKGOTKuMhvBea WBJirdc4t8sK1mfDhccmh08mtTTdxfuzF5bRQn+g7sQL4xZp+UJHJl/YjWmoAm7TS4dj2pcO eMN0uXA4PYXIZHx/sQTz7P0L/ZPbEKMacksBB3v3fRb4wctQfvRLFHsYWpg0boRgG2J0D/LV 9MaSXBNoJ5WL/uKLJ7+QgyA3+8QPsw6IJPsYf83ujTfeyvFJNfii0nuUISu7WaYG1YgqAxbv P713eGuKOfwxXLTtDsSbWGpMkX5rv7aTNQrLu3RJfrzAKlk3dRA4aldRx0bvDJhIC0g72gJu MrFKqXbklUn4PUXB7VGLvw7Xz09Xf9we7A+erOxzmSdy6ImssrLxA0ajDTxHwYcfb8Iv6zVP z2nBmO8fFRMGdH0ZrmXdzMCgYTmphIIuxxxaz0JL67CLLA9f7x++r8qru6svh6/R8NnRRNWU hCpZ1bIYZgLZSnX77q62fn06C/yMOSb87YkmNgzmPwS10yfUFv6HvkiYLZtRzAd1UsLm8eb4 jJmmy6kRYVlqg3mNoS3hKrcE+kqedoblXjgV+0swOOCs5SzN68P75Xh2ok8wcJOyNzL+nnoh V9w/g2mc0MS86GnQKEHDjq6qBzjOD1yuGCzyHoXmsZt1HSOBPxqk9MvFrWvG0lR3TeRRxyge SUzTEHYc9skyDShy29P56cmHM29iy5nz8AB6TOx3HI5GGmLY/lEiHSVKVrq3lT8wpo2QcQbq hnbKCwFmHUKjyjfTsPELz/K57xDD55HU24iNlpgjFl+1YOBgbHJZB0nRCZO0cev50npkKl6e AucttEYHw7qLLmKIj66j1DYMbEmGaNYx77pu8KliHyOapoMBDPfSfqkxeDLG/azKFuu28RFN LAYxphQHznflB/a3QeIeMr7PFxVfl2zhJaZV8yAj9vbO4Vvu6NF4S7ShLBYWKiDWMmRK9c6y apn0QXMeak6AgdQCSwz8S78iAF/xwyloL4lhNgmqBFENAXer1arD03/vH/7EYraZOgOBtBHe e1IHAYObxY4YDfJpvNaa+9xLOVtY2Hq6tUVsVy8y+ogbv+DC52rS5BZkn6eTHJkF2pKNjC3U ZFoS8Ec6LCfmcS/U0jghe6wTzEmZRvKl+WPIGvPfX+kJAaPSGfeg46Oltf1xCBGNkEmPS2Tt DIj+l5Wm21qPDmqnFdiRseI8IKqr2usMvrt0zedA1NN1MALCNdMxWWiZs/Z/08zBcjTyRNle LLbqmraq/HwgLtMuI1Z2sEdlqzbSjzS5vrZNvAoTsZmKv7PtcdNMlo6hY6Qi2wKEqelpDzAs JFgIdkk3T59xLNCyVL8VPmbcHwrECxeAGl4PYH9KbVovX1BLodnuBQrEwkFi3iN+q3B0+Gt+ 7M3LSMPbhCYEBlNkwJ//fP38x831z37vZfo2iMyN7LI989lne9ZfA7Sls/iqkMj9lgfe8i5d iC7i6s/g6I8g4ciPYN1pL8+hlPXZMlYWbBkZsDtFGdn8H2fPtty4reT7foWetpKqkzqWZMvS VuUBAkERY95MUBfPC8vxKInrzHimbM/Jyd9vN8ALADao2U3VzETdTRDEpdHd6MtoSADWrCpy WSI6j0CZ0kJ5/VCK0dNmGU58R6fZ6HtL+lg2hKOt7XVT7FZNerz0Pk0G5zst7cDQY+ABXhT6 IoC178u6xDSZSsn4weMm+mmQsPW9CBwGWUnLQEDaX0LazxsguRva5J+vZzypQSl9P7+OEoSO Ghqd/QOqFRqck8hFNU7IYY7pVfJcC3YOVOfnMuET9iFmENAUyHLUCFjN6VgW1/LqoLVJj2Kw DlVcl3RvG1lxr2sDDjq4lYWikyI5lEp67dfWGBKT2I3iLt2LhsxUB43krHYahd+jD0GY+QQX 5ncIYRlT93tRmeA1+4vH+2vUYZOEFcPV9Fo7afvH2+zp65ffnl/On2ZfvqJJ7Y1aZyd8c3Xn P/r++PrH+T30hHHI9FaZTWAGhxja4eEcsw8FhIsxcWzeNdkiKDs6LukH27QGnP6Ilg7OokyN xvbL4/vTnxNDWmOOU9CwNW+l2zdE1NYcUxn5dpIEJVjhBAFOsRxH+lIioBWWzUGNWJks/+cH OFmMx3zFNPe+9jaxkX81hubmsOqBs5weJkkiUPp8vMvDQHodMby2OwOwEuhP5cHhywEly35j OfD2BPCg/TLE9nyktyOcJ4aVSIvxQJmxfJeKcQsgydGW9Ik5aifx36upaaSni5ZcnOkKkrTT taKna5iFFTVlK3s8V6G5WZmhwt2Azxjj8ohgPHuryelbhSZgNT0DUwNMbpNV8KzbVjLa0TKU QSG52E6IYtvSfHZon0ech4TWRvGaxlWBxI8gGNJiGqvp3FXpoqaOAmWfp+ZD/d+N3GXQw7wo yrHfk9ZkFPMVRwCRvTikLG/WV4v5PYmOBM8FmV48daQU+LkIXdqmtHXqtLihx4WVdILtMiny ANNepcWxZPTtohRC4AfekExT1H2iUM0B7r+fv5+fX/74Z3sp57nitPQN39Lj1eGTmv6GHh+r oFCvCcrKD7HzCLQuMt2JKuCB0OFVPN1J5V9Zevha3NPKS0+wpRXTYRTpvdTh4cCfbp9dHKbd pUGIVNB+2pHAv4Lew30jFc1k+sm6v9hRdbe9SMOT4o7miB3F/YUp436ky4givv8BIs4u9ONC N5JkemJLOd18qylOt5EGLir6SRsHBpmt/vnx7e359+ensaIKmvTIJAcg9BWT4f2MFDWXeSRO kzTaaBAQ/VqS+DiJ3i9pLty/QR3oU80mCEgzXQ+A1U4SBDM294NVxr4BuWs4cFZ3JFrMCXm2 acukpph4N3PzqWuTJ14UoaoRXnJIgt6mkwSZrKZ4DZIolnkR8iMSWU6/JQ+kd+i/RESB666+ EzJgqusJ7rYXG+FqH+aIejTKgH9fR4CCR2CiEE0skrZvWTE9yDKeHmFjdMM7i+kvDA9Azbtb qbBEARJ3XNhLLeJUVtQoV5g3p8CSLI5fGkiNTLvkkb0oSpEf1FF6i32Q6ojbFvsTtKknaA2f nLtc0a9M1MQRqHvqmdYcinSJGiHq9lNUOVeUNbiyfcqrWNdasG8TTqWbGtxkKNfG0dCJa9EY 4yllUtbXCpjmXz00bsLl7b39wyQhdqYX0xXXlWAZ4QJqtY48sS0N5F58zt7Pb++EbFre1V4x ClsHqIqyyYpcmrCPXm0btekh7FtWa8JZhulRA+MXEMa39K5ioFOeqpACFTd3PCO+6Sgxosc2 GHcQ3JsWFCNWXM8sDfLrPfB4h4rCfCwRdIiX8/nT2+z96+y3M4wRWsU+obfVLGNcE1j+gi0E TVR4fZ7ocHQdvWTlQTtKgNJqZnwnJw66Dc3COZO0YMVFmTShykV5TA98eeG8CnFa6mKj43cY Adp6qLSgHQaMCydpuF6s4qCt1YPzHpMppv3yIjLFsL30XEXnfz8/EXlV2kyeljuo8bp3QP6P tuCRcoFEonEAC/QhAl5AfDU+ZPKxWQCMQbtTXiMT/jX6zfU+oBtzTA5Ic07EAaML4xjN3jpv MzMow74fwA2Hv+jTwCJSSWBj20RtdpvpbgCnZ9b0u4gm0qkjW5s1duzp68v769fPWCxlyHhk NvTjpzPmRQeqs0X2ZuXndKYW1mwkclgtGBxDmr4utuiOeVzD3/NAPhsk0LHSbdBqiEg0J0xH fhrxq+j89vzHy/HxVffHGMWV9WVtnyfJerdreiD7QRYvn759fX7xhwwjvHUsKzlazoN9U29/ Pb8//UlPm7sNjq1IUQs6M8J0a8Mu5Mwuz1HyjEvm/9ZBPQ2XdtwaPGZSjLZ9/+Xp8fXT7LfX 509/nJ3ePoi8pg1vZbS6XWxoi9V6cbVZEFtB++lWDA4qe0NWrJTeOTxE0T8/tayQyt+5N7Fr iUhLUgQBHlxnpZ1XpoOAGLF33HdrlkcsdeJMy8o0H8sq0wEPuh5TN2jx8+uXv3Dpff4KW+d1 YNTxUY+47dRpUqJ07WBOlP4TemoTqDz+FIKSjm5ql47fr64PJtwJQ3scF+x+XDAeJ6rkIfD2 lkAcqoCx2hBgWoC2mca47tLGZiQzCStaYh1PT0yhVRJAJ2HxkvvY6MM+hR9sCzyldjIBV2Ln +Eyb341ccFuKDCy3PuvJJ30wO+uvTSdWZo13bjopTroHLWmmAPGCe+UbeuwuDwWu1dQxF9V2 2gdnZxUxuv7VoVwNMXpz1rUT2g5Ak7WcRN0V2w8OoE2C68DwCtWRagHmxFnA79x2mYPfba7f AdCmzooar6YWoFCIStkD8UUm2heTtfeJz+FIbbO6D5zLgIjn2+A3R9Np4+Hyvc5TS3mpdCR2 dhceVcWoFhgS4bGnFHxWLcvl4kQLzx3xPhOU3tCh06Jw4gYHqHYW1yG9v67HzeoY3gLpJt8e VVtqvfUjso1sC0cHVnfhsEGNP60nGnXSp1rA9mOGFFk2Tmslq5ub5craYjgBqE7y6EB3CBNv 4VJqRE1Z3EyUFb7HyQHTQ3VQ5uSXesM3xqvTWPTJD5lwZB1/1BFPKjSAaHxFqNOD7UZNVM3z 2xPF0Vh0s7g5NSD60IounBvZA+5m+uDfZocsIO4lLK8DVXBqGWejFHhDo1xtlgt1fTUn0SDW poXaV1iCojpgvRBaVgd+n9K6PisjtQFllwWsRlKli83V1XICuaAFYSVyVVSqqYHoJpAXsqPZ JvPb22kS3dHNFc0zkoyvlje0+TxS89WaRinYQEEhvpOBwzWcjQDfqCj2JdmumUOJ5S5opX7h 82ET1ibgkM8oVcZgYOcu6FuGFj/OyuRTZOy0Wt/S97ctyWbJT/RNQksgo7pZb5JSKHpCWjIh QE26Jrel96HWwGxv51ejHWHq8J7/8/g2ky9v76/fv+iiWG9/grT3afb++vjyhu3MPmPe8E+w wZ+/4f/aGtP/4+nxMkylWqLwRG8mdFhgKE+X4yBu+fJ+/jwDeWH237PX82ddqn2YZo8ERafI SYOruIwJ8AHOMQc6cGs4CT3JzHtJ8vXt3WtuQHJUioguBOm/fuvrA6l3+Do7tOQnXqjsZ8uu 0/fd6nfnhzIxTpacKPLjPc0zBU+oKg38lPoZ8QHC4n0nhbvZTQBncggMgMF6UYwbKwzBIK+i szJLOdZqDNhZNElVq9MPUOwVbTtK2JblrGF07WDnpHOMadJ125TReLfpM948PC59orMyZIUl 9VVMRjr3uV2FgNuGM/1MZOdv1ZDOtdWF6gqpca+m6860vZi9//3tPPsJ9um//jF7f/x2/seM R78AN/nZiv7tJC5bLk0qA7O8pXq6aix6qaoBHThyUjR1TbhF9TooeX2pP4fr1I5dpTkb0ybj pw8oJMCSLEZfpKeo7tjXmzc9qpTUhICg1ILdEZf6b+oBxVQP9/rGkCVu4Z/Qh6uq7N82FEL2 +v1f7oAcdb0gZ31qTM2pq2mD04UadCFQr/P8tNsuDRGBuSYx2/y08BFbsfAgsOO7OggjUXV5 bE7wn94V4alNyoBnl8ZCG5tTQEvqCLyRd/EMbV0TaManu8ckv53sABJsLhBsrqcIssPkF2SH fSBxvWkeoxdg0icoKp4FLjc1XsDrFzQ+A0lKM7VcHENF4nuaCbGrp5nYJVlZLwHtLUOALnCH 6dunnfh1vlhTT03hF6ZVb9dmrKrL+4mB3ccq4ZMLFzTBQMVl/eaHij6vgFkELqxMz0Licnt2 nJbzzXyiX7G58wkeqJpoFyohbthgGZwlVPGIIw3BMffmzgD74sjeO3JMlTLRh1yy0AWDGada UBGLBveQ3Sz5GpjPwufjPUYnNjamKkwAhWkjfr0K0XbRbxj8PBghPCpcg5pidR2icKqvtGNd jSF+Qeke7tttNeIezk/JG1j6VA2BloQ1o/lBYMfPvQO5nFqhEV9ubv4zwXDwcze3tI6mKY7R 7XwzwRLDt4hGMMoucO0yW18F7AXmcIuZZyuxsW2CHX9QeCJSJQt4sAgVY7eO7vb2JfSOKPGF wqSpIsZHbwV4UjaK9lnrKEQW/BjAsnTP7CATSqrtTah22Xs0kZmE3Hnk3DQhAvSFbYHpITHD rfUxiCv1Km2D6Ia7xL+e3/+ETr78ouJ49vL4DnrP7BmrOf/++GQVN9FNsMS+y9agrNhiasC0 zLrYGssVoX+or+9I66dIwcWBljk09r6oAo7J+h3AmPh8tQisXt0LlDl0W9Sk6IT/Ml1cu8MJ Q9IL+jA6T/6wPX1/e//6ZaarzVlDZt3HgUjr1aJzu3WvQjcOpk8nysEcMdvMaCymcwChe6jJ HGMirgQpSS6t59OxtGtQTrsAmEUF6o2XSMT7Akk7nLRI8kzTqMNx1JF9Gjg99dKXE8N8kDUc KWNdsvzxgSv1Kkqp5WNQmZPkzsCqOiCNGHQNEzGJL9erW3pRawKeRavrKfxDOOOiJoAjlF59 GgvS1HJF29t6/FT3EH9a0BLqQEDbcDVe1uvF/BJ+ogMfMskruhSFXuuMy2I0aSCEwlFBr1pN kIuaTxPI/AMLeE0bArW+vZ7Tpk5NUKSRv0k9AhB0Q4xFEwDrWVwtpmYHmRO8J0yAnnghJcYQ RAH7st7AATdSg8R7xApjxSeaB9axWge8WQju4SLrQiVyOzFAdSXjNOA8X04xFI08ynxb5OPw 9FIWv3x9+fy3z1RGnERv3augQmBW4vQaMKtoYoBwkUzM/0gW8vBTR7aZ/49+iSzHR+T3x8+f f3t8+tfsn7PP5z8en/4e14jDVlp3gdE+HKuuneIajW1iNiyLtFeCyU7vgDGzmV0JGEAos16N IPMx5MoqK2lA1zcrB2YyObA6caBaSXGy22xHibO8j4myrrrC+EMj5wY7IurWDKjtPnZF5o68 zW/ZVrjVeRBDpr4IE+cq2CwlmZoE0Cb79BcLonJWqqSovVfXCWrAVXGQmHZp4oXhxGKA1Kki JylERa9qbBm9iejPwFCLovK6jFGzZJ1Jm8hXewYMFi5yRoZYIjYUtL8AQvmDGQnP3cJB7gNX g1E2Sl1mzbN2rfKWV5yyUFQDYIGJh5IW4zoIBxO0Y6snM+C7lF3IitzGGQfvqOO98tK+mqsh IcRsvtxcz36Kn1/PR/jzM3WvGctKoOs33XaLBE1Meb3rroumXtOzBxBAcjyp2rseO4lbtAWN zSl51YKAMZKFsTFRsXKfQJDI9lkBa3hbU3IQnGMRyICWg0cHQX19bjdmIW5p2aanqLLlfOJl 0MJmTr5xPl/Q8IXTFf2tGNCdCTpnl0m6go4HFiOXlu6aC997H49zjHwe9h+6Vdi7Ttzrqk0T 8WQBA42ciImtReCuHz7RD2caGiyDqMMphMFzNuD6twvEpUMflKCsGCgC+1WkAeYGrOjYkUIX INcl5ZwiVfXeSZYDP5uDnhRdyikQIHCYdAvKhZssJc1I0V/t853IMEeRs7kqPyjdMAMMfhgu 4j2X7+j57f31+bfveBesjGsws4oDOK7GnX/0Dz7S9VZgmRrHM0+75TnZ88xtYLPkrntb62q8 5DcBs99AsN5Qw1pUtTg5s/RQJgU5qFY3WMTKWnCXc2mQLuwWSzLXqd0AyCSObVrU8+U8lAmv eyhlXEsGiWM2SCUvVCDpz/BoLZzEslzk0rLLmt9NkelqHzssreJ8nPGuqMl0qvZrMvbRfo2D chPkZ9F6Pp8HnOBKXKjLhT0v7UTmGQ8HQHavAiaW17ZHuo2sOA3HRVg4d8SsTkPJGVLayIsI elsjJuS5cmna9yC0OYkpDKTJt+s1Wb7XenhbFSzyNs32mt4rW54hAyU9VPOTdaPBnbWj18vS Ynv6d5McnXL22IKz0UDtrkXme2INncmDYaLDp3EvBdY2pwzf1jNtPAq5Ajg7yL0zUHWyz9Hx HbdGSQeI2SSHyyTbHa3s2jRVgMb0DxPTkehU3u/9eIYR0usjMQjmssF2uzC3D/XcKXDeQ5s5 pZn1+KW1ajrYNdnSNdm1Do0OQdSBwKXijn1LeNeYxCNYqC53NhQclqAz9AcRLazTO8NqOHJP BC367FMZiunvnmo9cIYXpQs6rwac6hFmDJxuD4ThVFiJebdikdv1Jc3v0fY0UPiHgC1HsBT7 UY3A6u4hYcc7cnuJj23p0mGqNKTJS9Wq6ZmpbnRpnOP9B1mrPSEHxNnhw3x9gZ/uimLnVuHe HS6MaeL0Oynnl9husmdHIclxkOvFzelEo7aWkoK32KJ2PFwAhKkaqPUtEsE80sPFnYDKpyXM ClNV3vrl/3Qd13a0yA9wcivL087aw/hLeD/7RTm0hWC6tesrN8UW/A4w4FCKijibX9E7Te7o s/pDdmGhtIZ1R0E9ZCGurO4CibpgH1FxbPaL4C0sL6x1lKWna9g8lmEOAVoBdEHaPOY9pytu wOG/cHqenm7CtgfAquMk2k26QnyD5JXra3an1uubOTxL3zzcqY/r9fXIZ5NuufDZDYzX7fXy AnPQTyqR0Xs3e6gsBP6aX+2cZRgLluYX3pGzun3DcFYYEK1Cq/VyvbjAcDDXUuUUhlAL1zB6 OO0uLF7436rIi8zLKnrh/MrdD5HNSRdf+D/w8/Vyc0Uwc3YKHcW5WNyFrxXM02UgAZvd8wOI RG7VcAxtj2idxHqwuHO+GeiLC5y2zaQv8p3M3ezkCehMsFLJT3kQGDwZywv6TsncBWt+o2WD XMSlyBXWxXT4bHHxsDDePvZD9ylbhnwU71MebPEk8sZoEAM5ae+z375Hh+7MEc/veTE+D3ts lV1cAFXkfE+1urq+sM0qgaqwI66t58tNIB8iouqC5v3Ver6iLBLOy3L0kSQnscJENRWJUixD +49jI9Cn68V1rYRdX9lGYJW2GP64/nQhZ62YNzFO14V1qySwZNerbLO4Is2qzlOuI7dUm5C7 nlTzzYUJVZniBO9RGd/M+YZW/0UpedBFENrbzAMX9hp5fYmVq4LDdnQysdjYWh9RzhDUmbaC X5zefe5ynrJ8yASj8o0YA6LjaI/ZfPLACSX3F978kBelcgu1REfenNIdLc5az9Yi2dcOvzWQ C0+5T2DKDZBWMGm7CuToqy/aldr79mFadiIFfd3RrgxonGFHlTIy6cJJNfbgnkPws6kSr0aV gwUpE5ZJTd0dW80e5cfcLeliIM3xJrSAe4LlJR3HxODZjbdReWkKU3RxXk+yoo25iFiU9I1Z HEWBxCmyLKklgbJ3W2jINS83JhHFIK9qGMerYBk6UgyNrLcscLHbNdxke+N0W4kfIWzLI5wC 1y6aOJHoYx087TQNsBeOd0CB2xYkKTgagsP41hBF2WSTBycqSx3N9YKJ65VyBj87704i/wiL 8GY8oe85WRaFca01N0xwWq9vN6ttmKBeXy1PQTRMOoZaTOHXt2P8gDW3QGZ4rJTDxvCqL2Fs e5fkLAp/TGucCuIjBkvZtErjS1QWFpP4mq/n8+kWrtfT+NVtYDhieRKRf/EkeZnuVbBFbYZo Tkf2ECRJMV6knl/N5zxMc6oDnWq1cr9bHRh0uGCjRkedRGtF8wco6vCY91pnkCLXZf9YuCf5 Cd7wgYHoEV7J95OvaGXbCbwWR8N4EEknhwLFnzCyFvOrgKcoXj7BHpM8/PLW+zWIb4+mHTCq RYV/UxyutFKIww+scuyWY0JgJDBFiaP0I3giZTqis7KkD3ONxAMAzcB0pwrh9kAHJLogndKm dn2wFG16VmliPbxX2zbHYeec0T+PKM5q+rxB5B07ikA4D6JLsWPKz09j4as6Xc8D2QkGPC2C Ix7tOeuA+ol4+BMyICBalgktMR+NVmL9Gq59M6P8UbjauZVFh6ZwNAlgb0YWDLLRzDbQ2ijr Yo/AdtciBMoz+vqoCrQyR0soMKaeXrqVVBmZHt5udDCJUkgRSRYc04q50ckOrtfEKaQdKGYj 7Dr2NrwO0H98iGwF3EZpsUTk7kVSK8JW7IGPw/+Fznw5Oz5j8sqfxklCf8YMmW/n8+z9z46K EKSOAd8X4w+kJJW5RzvuDHkgh5NXRaTOc3DkcvjZlF4OojYFwbfv78E4dZmXe7tAIf5Exy67 DIeG/S9jV9LkNq6k7/MrdJp47/CmRa2smegDBFISXNyahDZfGNVV5XbFq7IdLjvi+d9PZoIS QRIJ9qG7LOSHhVgzgVy2W/S21MhLFleANFSu4VzbGoSJ+nufMpPUgFKBEd37IPqIw/vz99eH L0+teUunu5v8qF7mb8eH/OIOgmXI8RE9PL31c8XH3h5hdSznktPkvI8vm9xYR7UX5E0a7FTF chmGzub2QK5LqBai7zfuGv4AbozZvDsYxreMhZkFqxFM1PhdLleh26Dghkzu7xnvRzeIlmK1 CNwmHzYoXAQj/Zek4XzmNt3oYOYjGFjo6/nS7dOwBUn3SdoCijKYudVSbpgsPmlG+rth0Ec2 vuqMVFfp/CROjH5uizpkowOSw6p0K6S0w5HOap0f5J7T070hz3q0PikK5JLZlUpr3boswJ91 Uc0cSbVIbM8lbfrmErmS8Qod/haFiwg8nCiQyfUSgYs2NxcDSGMJ5SJRZCByqdSRf270OMGz jNFjthoRI++gmBuItjYaKacKdgva5hIPcLl3fm3av50hUhWXSrhv7wxAFEUSU/UeEEjsS85K 2CDkRRRu/XpDx+5iPREZyLE6n8/CV0g7ov6SWhzniOZ2/mC0UuZBmyAU84kJ32YA2HUVSLxO X+jN8lDdG3OTKqJ1wJjpNQBkZXHt8cNjgJtUcFJBc2TOz9N6c9DcTtY0s0pBKNyUomd82uUu ZFXcl8NTOU1h+/c2AsRxcjSqY7eAcjujgT3JGqQPeNYfGKe2DRt0isuUixNtMJdY9GXIHkKm wdRXy4H++JohtyGnaXudB+dk7p0IKgUpXroDLl+bKeZT5nq6KSOKYYVGKOKCkMXYdxpoVB5n q9USXzv6EbudyLUXWaZq4XaQtn/4/kT+b9Vv+aTvEgif5i3l26G70B6CftYqnC46ChkmGf7P ak0aBAiWsIu6ZH8iJ2pjjrNetkF4ug61uUE5F1XdK7wHbJSF/SCgpr0gQv1iSjlWUbHhAAdC OEk7kcbD/mtU112j2HpHc0g7RlT4/PD94REj97WuLZva8E7mNqxHSxySxrYAj+asSuh2r7KR V4ArDeZ9HFs8xP7kRLfJ9UYZy48b+ZCp811YF/pi1WrMEdnExhnqbLnqjoRIbG8NbuE0/5hz 6i31rmL8c6Izkrri9rQC1k1ciKKs90dguJCX4ERjdKKrnY9lCUW2RltKdHLdfjUIaz0PwJBy 3/OLaxwTPH9/eXgd2n02PUNejWVHMccQwtly6kyEmoCRk7DZR2TeaiZGv8cJucUbG9etoQ0a TA2b2IncYBPisyi5aqXTpYEFyMr6IEpd/b5wUUuYRSqNbxBnHfFZx1nEBIaygaIqYuipI5Y2 0qxtlXCfFPFb363ZehaGzMO+geVbp0WxcbD79cu/sBhIoflCtjYOm7ymKPyaRGmXxlaD6Jp2 WYnWgPdLRaOyjwqkEL5YfF2y/PWYxA9V2rlZNqmV2irG2uqKkDJj7vRviGClqjXnp8yAmhPl gxa7/igz0DFYc5jBWTZaYMkouRhyWfAnFJBhxtVJMVYHoVSGtvpjUImaISCs1ZHawVAlfc8q V1c73U1pUAyaWbtjruyPV9/41vkCaR1P6pjgmGWYnCcR/HXGmyJyIZJuOaUWVb+QQ7RxTVEg WZeHjUnctR3tpeImrTeVFe+miZECddfAjMcdX6GqSBVwYVmUOB+94QgtUVeuM/1viTVuY8Bn uN2ltzC0fXobJjd6e86Szcd5Sy1wLO2gxhbJfLGlanI0Hs7bFwiQlHGpD/apxmXCo4OlaSfR JZN0JcdwyeiHCMOwLTguvgUsGDUqWc44KaK4atc4Zz7b/mtXAJc7mODoQY3S42PV5W9gauzk Ppb3ZqzdfIqE/wrXFIDy+lEAYOdJLlzYhiEjaYkezZQrDxgLqnALUB0Q+uU0oTuGF8wz6biw n1kKo/Cjpvsy2JfybjK+iQrdS9sDtBvCAJPTg/OeDSgm4ghxXt2SRLLLN21cKmzpjStHd8s9 x82FnFQppn9Gl8r+GDimeBUs5+5r5Bt9xThdv9IZhz5ET6P10hW4vCGi1WO/l0DQc1/cEpHz MoNE9J7CiONAzUifmbmgQDopQNc7ZjIhpFLVcnnHdxfQV3NGVDfkuxWzjoHM+Z9paEU5jM6T PjyODrjdQebiRNrT6f3X+4/nt8mfGCPF5Jn84w0Ke/01eX778/np6flp8luD+hewbY+fX779 sz+PorhSu4zi83i9yPSxjNY6LRYm3hfS8sGVvP2Rom9PQKlyxMGNGaB0EAzKIjOBsuL/wB71 BRgMwPxmRuPh6eHbD37ZRSrHS9MDc9VpvoLuNYAT2u2ZSyhAlfkm19vDx491XjFB+xCmRV7V IMPxAJVd+jeq1Oj8x2f4jPbDrGnSnVoNK9PeD3A7Va/HuVh0REwEw1GbeYSObfiIFTcI7qEj EO4Isk8GK9+c4YILxl1dwUj7eydnWHQjjcLPofKE2e2LavL4+mJCCDhizkFG4EzQ7OSeP68t FIn/Y6Bd4YgShi35C71APfz4+n14KukC2vn18d/DUxZIdbAMQ3TUI++v+1KjG2C0CCf4HJ3F Gp2Hkc4yfkulRVqgRyFLSeDh6ekFVQdgJVJt7/9j+2EYNsL6PJVJXbrfUvB7uZiXJ/dBRdts LY6MtzKiYmgl97o29OoAPKnrjmZgFUgJ19WwV8M3/cz4+HTsRbeYJtF6ETCeYm2I+wm4haTB lHl07WLcJ2gX436T7mLc1/cdzHy0PXczju2+YTTrdq2LGasLMCtOQrYwYxFoCDPSh9V8rJRK rldjo0W3SX6IPhf+QqJqNRKZByPjjLRELe+BX3Svwitmu17O10vGB3uD2SXLIGRuWC3MbDqG Wa+mjPvRFuEf6r3ar4K5y6zg9tGb9Cq7/hrm/yAX/gogbxnMRvqePORxhrdXjJazu4V/whHm bqQuLRfB0j/QiJkxnjI7mJn/4wkz3ubFjFG36WL8bQaBOVhNV/7KCBT4dyzCrPy7LGLu1mOQ 1diCIsx8tDmr1cgkI8xIVC3CjLd5HqxHJlAqi/nYCaPlauk/ypKUkWhbwHoUMDKz0rX/cwHg H+YkZTyhWoCxRjL6YRZgrJFjCzpljAItwFgj75az+dh4AWYxsm0Qxv+9mQZBZw8CsOJ9cF+h Uq/Dqf/bEHPXDyrWxxRkTuPfplGN4I7hJNOBZNLLXe31yIIAxJyJE9Ai5EgZnouPKyZOZbBg AvRZmFkwjlmdZlzggGuD0kou1mkwMv8qrav1yIlTpelqZO8WkQxmYRSOMsDVOpyNYODrwjFm JxMzRjXFhozMK4DMZ6ObJRcg4grYp3Jkd9dpEYwsFYL4R50g/q4DCBd/0oaMfPJRiVW48vNu Rx3ORgSHUzhfr+dMeAwLE3JRYiwMG0nGxsz+BsbfxQTxT3SAJOtwqf17jkGtGLNP2mIZxcST 0HIfuV9c0Ugmryq16T3Wdm+lmtSNTIUTjoSBBJz+fP3x8unnl0e8HvCYZabbqBZSh8DsMsqK CADRipH0rmSGNy1SJY2eOcOUU35SDcTXT8lEam1R+0QyHtkRQ6qdU2aXIEB0t1wH6cmtyE/V nIvZ9MzrZG5RXzvi/C/T90bibjrn24Dk5cxbA0Hc8/ZKZkStG9m9MBoyp2BJ5CTji4YDD11+ eBu/V8BBB9QVTgwcvXhjraS7iUkha8U8eSCNew7Bqj+I7GMt05xzuISY+zgtmJAASA5DCuIz QufHhugrJliumT3nYLFkmOUGsF5zFwgtwDOEBhC675NaALN53gDhwgsI76bejwjvmFuvG50R kFq6+3QkugZRzpM9zrazYMMEhUbEURUYSIhTWENIGWv3wxgSgYddwirje6iM5JyL3EF0vZz6 ssulXjLyDtHvQ4Z5IGq21CuGd0N6FUuP6y4EqMV6dR7BpEuGOSHq/SWEic7vJcjQOolic15O h3GIu5mB7/FQL5XkvBwAWWOssPl8ea51JYXnPEmK+Z1nESRFuGaMrJpqktQzg0SSMgEYdVGt gumS8RUKxOWUCXtC9RLAs/wNgJF0b4BZwK8v/DT4eM8p1yCWjJxh1eLpQASEzPvxDXAX+A9T AMGGzjC3+pSABOeZbABAt1D+2XhKgtl67sck6XzpWe9azpchE5uO6H+kZ8+QHs+hh2FIcrnP xI5RlCe2p1Qf80x4O/KUhgvPyQjkeeBnDRCynI5B7u4Y4xzc2PJ9ClzcOuAsv20QsFmeLVAj h+LZv3S67VVxDe3s463bQsp4d0j65ict1bcBo1U0vYe54tTvvj98+/zy6HwAFTuXyf9xh3G6 LN8tTQLpPe2KA8WWvJURMeoCkF5HRS276gJUu4Astp5Y01F2ssHJYvIP8fPp5etEfi2uQcv/ icH6Pr389fP7A/Zop4S/lYFybL8/vD1P/vz56dPz98Z01nqw324wHBFe/be9AGlZrtX2YidZ /1ZlSjobMBpRJ1cUyc5vCf9tVZKUnWA8DUHmxQVKEQOCSsUu3iSqmwWOrrastx7hVlaf0JZl +6LcoEPDWO2yOs5gRrlsuq41YgR2u9BUIBttx5aAxI2Q96Sd0UlFXKPO1YVrlVCbtLE8GI7S 56u2hEMwxU5SZcncBW4xTIibtcCMl01czqZOB1ZAzre2+AwJIIwk0D3ux2kaqUqzRFhLjDUx VuU1psXOD6KAdaKIE5RUtDhqqZiAktjotdOZIY2tLm3PsbekOoWJF2fGC/qQiPaFfxxiF23n SkR9wjdHOeJou6nFzwCB2raQuCV1VRLbZHsidvrDkHnHGzjY+hIwx4KhskPlPryRIo7cgyJS mRhuOLpxDguXkZOBfn8p3YIs0OZR/3iy5mSeR3nuPtuQrMMVY7iOy7ZUUcwvBlG6zXFoSbKF SjgLOH922EcgCxz47zlELieFOMk3ab0768XSdlWNLanmnRkGv2/BlCv1Ma7T3++6XaJKfWCu 8HDqXl3jsoANdCm/jCuVFkzAF/r6ddDbzJrzz3mo0Ta5eXj89+vLX59/TP57ksiI9cIBtFom oqpaL3jtdQrQXBqCDfm2yvoFDOiO+HYtsQCObhEAj8zoVbRIERVhyLxO91CMqkeLAnabe+y1 QMflbLpO3BYqLWwTgTTmFoasZpXyLLPMOYwjg3UNWPz+9RXOwpf3b68P10CCLiYPuTdprB4c o0YxnYZGX51k+Jsc0qz6PZy66WV+QkX42woqRQp76nYbly67Dwe5NqEJ0UdQKkpmT3VkK3NN tpB/OwOs6rgsYxCQxH2M/m2cAzDSubfFku/yzj6CCWiKVlrsG6UBJ4meG2FPcBKIKXBSZHLQ MwrCfGvcgKG/PRDkh8yyHKGfNcaO6tl+ddJrNB5MhLLO8KpTShYZW4ZuUiHTbkIV/3Fd8Z10 qAdDTHRKB8bhDGMCpEGhbCLsPIedso1er0TTOvtBBAj7klfoRHp0yQRevsMpk5dO+0T8JiNS kZGSKFSv6jKX9bbXnmu0cSRuq36jWqrKNBO0A9vGxK+kIlJRadsWpen7Q0wRNoZD0oRsc6GH fY05UuAgaxP3sENzuHyjZKyA/RSR5Ey4Z/oYEJkU46GVpokuBBNpmxprTB+D1ZJ7gMUyikPv TbQzfVT/e0QUhCHztEwfVLFmSkTnA1i3ZJKBGPU5BB3CkNOmbMiczlpDZkwsiHxiXqKBttEh c0+IVCmmwZRROkVyqjhrBdoHzpdd7N6nKXe1mIXMg7Ihr7jXfCTr85avOhJlIjw9tiN1Apac iIs3uyme0RK4Fs+TTfE8HQ4N5i2eNlKeFst9zr2/AxlN/Bm1/5bMRSK5AaIPoyXww3YtgkfE WRWwero3Oj9vtilnK0WHRFTxSxWJ/BqFcy5Ye0aN3CaGZ77lVwBfxX1e7oJZn9O3Z06e8KOf nFeL1YK5SWjOYNZ4GMhZOlvyi72Q5z1/uJYKY7EzKrNIT2MmFnxDveNrJirzTGROBeYBwBw4 ImS1glr6yP5Mwl9e8UvjeGaVb4F6Sbe9jdJ4hIn+RTeXHfMDmofCTBYnp3rL9V+9LAV6vExy SfLr76tF59grZI+XuZq9vblSyeoSzv9+JltobhJaqVnD5DIhmX/HqzUbJ3LRzQgJ9VZsQCTE 3TA/6CE5zy7nYSragg8T8zxT8TCd+F50FMZSajXrUQ/Vps8goDNYcWBjNDWIgwg8G4/xN3ue 8YyT8aarxB9exKofOnSA2KstF6ebTnwZ9S8+B0UUOaNY1dL3foTOM4cPnR7oKICdc5n/Nny+ 7MY8MOuswLgmfLlFRCMl3YZ/tF3kw+eJvYqGFyN71XFsCT9BmNfAil9grpdxtmNcGwOQc5R0 2DujpGPR7Q2JcRrz7fkRHTRghoFxIeLFoh/nlVKlPPD+0wyidJpcEw294w2KxETl3vqJzrlw JuKhdMcPod6Mk3uVDfo41nlRb90DSAC128RZD2HR5R7kfevJxqQp+HXp1wXicCU83ybzA/cm imTYKWHHdS9ppINMGCl08cZXQC95PBl6T4MQVleb6dJ5W0+om1/HTmaYhbs8K1Xl3gwQEqeV r6djLoy2IcacNp4hO51TIOUjdEm/sbs43ShG1YboW+bREYn7POl5Oerm1atwzo8itMa/ZO4v fA8eJEW9YuknkWhGHkbyUcWnigmtRU2/lHTb1e8ujBHhutsjmh6s4Q9w1PKzTJ9Utnc+/pnu ySoFm92wEYkkfoEtl7vPNbQsP3IzBLvUtbtd0/FHwQS5vUKYaY308pBukrgQ0cyH2t0tpj76 aR/HiXf50MsN+ej0QBJ8N/DQL9tEVC4v9EguY7PIu5udCRaRb3UvOUfv7cOlR8EF/Csg01xQ HaSVyi1zIhXDp7v8j9H2KDJUjE7yro9qK9nXu0Wcpehujis81iK5dMMPUTo6RZL8xCzQ022J S5LftenO2i1TmFGBAhhhiOi5lMLNwiAZTiS+zxyx2ygZDje+QLRYZT1/EkLHgt9egQoznXwJ ca06ZBjApd+qkrPxx50NfciKynP4VSkIFB/yC5bM713q6GbLiZgXFWesS/Q9bGz8d+s9eskx 16/8AYDMHgpCPGK2/Rgzz7TmiPCdoyelWNewSD8rWAYsFSv29h/GL5C+HcgYONR7xicFMXlJ PxjX1cmYg4k1LvWrjZvnNgLMgO8unGxzA756FWoq7ZfdOgnqVHgrn3wNqcj5AYNsNyHcrsBq Tr6XChnURp+GQnxZPjWvCNR5SeIG1KXHoyU0bxTdRAx92T2hSeJMCsW4cSOhFv3M7kVV72XU Ka5bdu/OnHJmGey9MkaH8c0j0DCcRfry/vj8+vrw5fnrz3calyaORXe8rxcIqB6kKt2vin+3 6cBy7T6EGlp92it0TV65zgsj4OscJBk4VaLrJYZNxs59syYvuhaSrWuhaKifRKOyWp+nU+xe tm1nHO8eoD8dzPB0slF6mecaV2atua8imNY4TBXIRZFjrjlGl9K3lVvZwW4VuVjN3Wd0F+dz M0RDdD7Mgum+8PaVqoogWJ29mC0MNpTk6dKc6dK8+1EgiPKt7UGd7+xd4LCX87/dOQfHHOkA qgQDtvkQZShWq+Xd2gvCxui40nQbOljOOO+biCPy9eH93aWURytJ8l9C76DMaYr0U8Tn1enw 4iaDo/F/J9QFOi9Rx+rp+Rvs0e+Tr18mlazU5M+fPyab5J4cWlbR5O3h19UFz8Pr+9fJn8+T L8/PT89P/zdBnzl2Sfvn12+TT1+/T96+fn+evHz59LW7bzU4W6HSSvbomNmoJkrRKC4SWmyF +wy2cVtgqzh2wsapCq8BR2Hwb4ZTtVFVFJWMcW4fxuig27APh7So9vl4tSIRh8jNP9qwPPNE fLCB96JMx4trbltqGBA5Ph5xBp24Wc08YcwOYnh04lpTbw9/YfAnh39NOpEiyZmhERmFQM/M UgWvXk5HV5QxPC2VTttFxLi+pWP7xJjvNUQ+bBs6bEL//d5jYN3VArt1GnlNZjamYXSQW7Yu q8Lkj1PFGFU2VMZBE22K0UEf3CKjadqxYiLB0u6t8qVnrJN4l2v2KoYQnl3/OqHlZS0Zq1AD IytmflQi/qqDDmaNWibuGMrUQ3jPHMHYIu/V31MVsGab446fE4zBJp0bpQBO1RXqo9v+/CRK 6GgegUejh9WpYm1Oz60664NnaakK9QG3zBMBAC6Qm58r8UfqzjM/FZElhL+zZXDmd6h9BUw1 /GO+ZNwQ2KDFivHqQX2Pnn5h1OLS30VyL/KqF6DptgKLz7/eXx5BWEwefrm9RGZ5YThmGSu3 jtB1c5j3H+Is0ZCpp1vITkQ75pFJX4r/r+y6mttGlvVfUflpT9UGK5p68AMiCQtJCCKpF5Qs c2XWWqKLouqsz6+/3TMYYEI3qPvgwO4Pk0PPTAfGHaaYqCL4wjJpOBtkzuA0ypzYPKracMIS QfG0gAthLTVu9XkyUjvnytAE+RWOvxznPEaAQA/G5iWJaHW8vSV6QaTg5ecfzy6v6eko8wiy q3NGi34EXE4AhDkcveaNfHoOKD7nqGngX5/R00wAysC7ns4BjT/padHzLy8Zzxsjn7FxV3xm w+n5M86+VvE5ZemxgowN6QC4Ykw4ZSeGZ5xLIMHHUHqXjGK0BKTB5fUpo58xdPMl7atH8JP6 /DROz08Zy0gdY+mBWKNciPpff2xf/vnt9D9iqajm/kn/hvH28g0QxH3WyW/jReJ/nHni49JI ac7L5h2csJtfZemKCwsv+Bi7ZqJJhVFxfyFE1rfZb5+eqGmNN/nziLlk8YIgQt8iSZowJjAJ /J0nvpdTJ+8oRLWSpsCrnDqoWu2OSbCcWy2kWpg+0ky9rk1NW8HkdGgF03WALMhBlNKXHLK0 6IybMQseAYzfE5l+GVg+Dnpu1QQYZWmsHxLkkm6QFkFT1GuaqJSvP+wPjx8/6ABgNsUiML/q idZXQ3kRwjUh8vI+3I0YNBUGfdajoWpAOODHQxfZdNSSJsiWY3id3rUJnKKylu4nUerqzpE7 hktfLCmxi6nvPN+/vI+Yg84Iiop7+ng7Qlazj5RahQKENUgln+xKjhwYijkIjUzgdA3KOKfS IFef6BVZQRbrbMY5sFcYdE94zZw4FKaqL4PzI3kldXp6xrihMDGM+pwFog9YCrQCCH2/oBDC sRyz5xoYzj+OATp/D+g9GMaNx9AbF6cN4/pQQfzb8zP6rK8QNYhL14yDVoWJs/NTRuYaeh0G OqOqrkEuGc1uPRXG+YuCRBnImLToMKRyB5DpwVXdzWbM+WZomBDm38xZPdBzubl66KsTxmpA ZTJhIzLg0S33O1adsD4/YwRLbVicnb6n+tfmTYp0Lv7j4QDSzPOxcgRZwUQxHFeTM8anhAa5 ZLZAHXI53Qe4bM0uu9jLEkafSkN+YsT6EXJ2wRxXhz5vbk4/Nd702MkuZs2R2iOEiRWiQ5jY zQOkzq7OjlTKv73gRO1hPJSXAXMeUBAcMZQameIPIQss+v06v81cN+q7lz8w0MyRYdarNk4W DPWZckZtdVidGvjfscWHe4kfej5nfNAPrfjJuj4YNETrzcsrnBGY2obo9e2OfAgFlt/G2uvn 8BEGSkJvDlbF+/sK6ztNFm9X/U0ZdZmWFMb9GYbAYgJhIK/suyipaM1jxIQg+x3DeNy1iIxI GhTcdbKMRzo5ShCTRw1zJ4YJVK0d7knjZvEVY7hxF5MxtKCenb8u8S4l83JvblobojWAMo4j PpaRuZwwZFmUt5qDFUnEZ0EbiI0hTzoO3EcFf/ESbRQGQ8GygXlV9hkRoyLbPu53r7u/DyeL Xz83+z/uTp7eNq8HQ01C+bQ5Ah0znFeRG79KjffGmyeMk8zFErbQHGNeOOUMRJCKeve2N5xU qt6anV2ed32wjJ4WpDd+GkqWrh1CpjSWIfOS1C8oQT6B83Rr2oRK0nhwlc53MOTH9vFEME/K h6fNQQTuqN0mPQbVTtYiJ3E8i5kIxT2iV6WAkdssqqKdU5qDRSzhmnGHiJLaBNHAkMe8zfPu sPm53z2Sy7uIWY0nOnLxIj6Wif58fn0i0yuzek7EtRtTNL7UBhUacywTIuYy6vr/VstoTsXL SYBxmk5e8Rbnb2j3UWlD+h56/rF7AnK9M9d35WmIYMvvIMHNN/YzlyvdM+x3D98ed8/cdyRf vnmvyr/i/Wbz+vgAg+V2t09uuUSOQQV2+2e24hJweIJ5+/bwA4rGlp3k6/2F0ZWczlptf2xf /nXS7D/qA3Le2YHB+yypjwc1tHeNgjGrMsOLh7iK6M0uWjUB5zsQpgRzhk8Y86G8oZ9o7rLI DcGkCrh0wzLi1oxxyIiofdUtPqkawR1TEDroaeuko1Wh9IIbtlAieg96XWiqIk2JkILlYg1L 21cZNm0sXr/vYxgjy2lxd4MO5/AhC5l0SyzWSnTsQloj3IRMpINBVpNsNctu7bBfBgw9GaTw d5lMJ1euvO5slmfiDe04CqtJdojZbNrXeHsceHSls8CNW1Zu9ngofHiBne9597I97PbURj8F G44LIiKrXP1evu1322+Gj7k8rApGo1LBR3Sa+PldmGRkeEzP0N/G68CQtBhTt5P6z+ESUgrw y5PD/uERFSqooMoNEwgOzTA729BLKYG6SY5fxiXzWh3XjN06azedJmzIA6FNBf/Po4CW/kRE dsbnSa/MFepLe7yFjUKONWP5vfPSJPSaCIqPcfhqMhgu8EB+8LTA87BWnhkuM3pCt/KapnLJ ZVEnq84LUpdVR0FbJY2xSADvvIspIRw4F3bGF3wOFxM5XLD34l/88EwH428WDBlkfuAFC80x SxUl0JLAiY2n3IEsAssyq20PEU5JMAQrdaofk7cbXGcRTaKztWZR9VQl1n4TiXxh2hTpvHac +Ap9/OCDONW1K5m7HjIXKLdt0XgMWi+b8RFjoIqsIkdfkPKpigUtvYoWBFaTVQQh/owetn5T WW2rKHQlBq4MQYzLwbzi3ucGcNXmXe3lgBMPJ/TSItF8JSQfDhoR04pjdlGMjnCSmLqtyJNU tobhmPJMfEnPIrkpjL/JGY1HMuuRsKd1Pp4Uu6Ikk0/SSJwkpUfK4VSYh6g7tLb52qLegYBR rUveNVUt2qCh2iCubTejoU1IJEG8/RoZe5JB5snNCdR1j+sLY5xJmkGKITOrYwJOw6u/ZSD7 DJ1upd7aSmqkohlbgu5MuzChthUK6aVLT7glTdNiqTeIBk7ykFGj0kAraFlR+WPALGo8dK/q Xk48PH431TPjWqzz5KbboyU8/KMqsr/Cu1Dsu+O2qzq9Lq6vrj5aq92XIk0Y5aR7+ILsgjaM VfOrctB5y/vKov4r9pq/8oYuF/CMvTWr4QuDctdDnvVP1O1EUIRRiZrTF+efKH5SYLBwOE18 /rB93c1ml9d/nH7Qh/wIbZuYvsPPG2cFGeUeunpSSH7dvH3bnfxNVdvx/yUIN6avNUG7y3ri KK2P5P4FHv1oUb6YBRL90zeplSq2GRqiJLAUOWnDES8Nq4jSrryJqtxwW2Y+zjdZ6fykFlXJ sOSIRTuPmtTXE+hJorjaGInQZ7YwaNeogwXSPJl7eZME6itNgMV/+M4kOmzIMqnl5TqqPkSZ MYmKCrXeiGRVwcIJXszzIrEJ0Ovgwlpf4Tfa5lnroj9RKn8iY27HDCov03OVv+UuKPUu1LC4 bb16oUMVRW57SnYdDyYGWy7MRAEGWIiWCWWH1uQpnVCPEBbJ9FmIQqLlWGCGqLfh1qgd6PdS CcdNP72/mEovvS+I1Fb3ZFr3dcN4S1GIC2GfgmYq6LtnGhtlfhSGEaVjNXZI5c0zjEwt+kw6 BDrXNusVP46yJIeJzzCLjP9wUfK823x1Mcm94rnVVKYl2lkwDbau77jP2ol5VBXcTFIBt80l RTFjcwfE33dn1u9z+7e5wgrahT6GkFIvmUseCe8oV4fCMjA35QaEo0TXa9GFOVnHHoR7RpQi yCie5iYUf0ENnRqEdjVDqp6hW9FQrknSHxRX4bBDq65jGAwVhr3k4tQJrPJgB4Z1Iyk0m0ix JFo/ZTm11oGauMqKyBhMcNUAbPPKcLslfndz01NLT+XPWUFULpiVPbGE86Q/OtdnDLrD98Ml CMbiWB6Nz4xmGsvIu+nKJW7MtBq5QLUler/hcrJWXEETQoVFExV3SiCotLbDyBcSVMf615FA sqCadBF6/DbPrQOpPinSWkmjnz+8Hf6efdA5StTtQNQ1hrvO+3RO6/mYICa8rgGaMWZmFohu WAv0ruzeUXBOBd0C0XorFug9BWf07SwQrQ5ggd7TBFe0gpAFovV/DND1+TtSun5PB18zumUm 6OIdZZox2qYIgqMmHs065vylJ3PKmT/aKGorQ4xXB0lizjmV/ak9rRSDbwOF4AeKQhyvPT9E FILvVYXgJ5FC8F01NMPxypwerw0TZB4hN0Uy62izg4FNhzJDNvqUBEGOcSemEEEE0jz9VjZC 8iZqGW8qA6gqvCY5ltm6StL0SHZzLzoKqSLGylYh4LCfWkYRLiZvE0ag0ZvvWKWatrpJSHdR iMDbEsMLQZ4EjqMiFVhCfwiSyhSbx7f99vDL9eKBW/A4O/EXCkOlZ/jyEOQKPZHX/bmEluil FxA8vMAXFZwVmaNwnyQtxMu72CjkIcDowgXG35Ee1rjwvvL5AjXgavHG3VQJ89SmsJNM+mLA u4vgryqM8igUV7x40SiEtcCzLnscGH3bDNIpXhfXRVtxzkDxjSUQyaC7BxmfiSjc4N91aArd Liets88fUKfq2+6/L7//enh++P3H7uHbz+3L768Pf28gne2339FU5AmHzgc5km42+5fNDxHd afOCz6fjiJJqaZvn3f7XyfZle9g+/Nj+T0X96vOEE6pwNxvcdHmRGzcJ8yDowwagj842aFIU ZVmDKRrur6uI1pecwHeciClKW+SyN4fWZF4JFBjdOLBYpZFHt5Ji84086MXYE3p4MysqeRbT 3weEqqq41rRoWZQF5dqmQho2qby1KZWXhFcwq4LiTr+ggqlbqHf7YP/r52F38og+OHb7k++b Hz83+3EsSDA07txQzTPIZy498kI7Q0F0oX56EyTlQo+0YHPcj/DgRBJdaJXPnZSBRgKHg4ZT dLYkN2VJVB9XZ5c8qrqSdOOpu2fZM4v8sAuT2vPTSD42OsnP49OzGQYMsWuVtylNpEpSin/p Q55EiH+oazPVKm2zgI3DyRFL7RCjfI6hAnuXUOXb1x/bxz/+2fw6eRTj9QkjtvzS34RUL9a0 VkjPDpnzdp9pcIxfhbUb6t17O3zfvBy2jw+HzbeT6EUUESNT/nd7+H7ivb7uHreCFT4cHpyp FehxX1SXCZrTwAvY1b2zj2WRrk/PGUusYbLNk9oKs2Yi6ug2cVYFDHHgwSJ5p1reF/q8z7tv uhmiKo8fUKWMfT7ToKmoTxr6Yr0vkU98kla0e4eeXUwVoqQLvmIe6tVMj9bLirkpVI2OHuWa ltK0UpWp67FtFw+v37mmNVzHqwUu8wJiZq6gOlOluoPPnDEbbp82rwc33yo41yP+GeTurszq lhyZyJ8qw2pl33U5CTSnH8MkphOXvD5/PpW52BfcFKgJY62k4YXT3Fl4SdGEr3+HnsC8EWqL 1MiqspCLeKghmHucEcGFjxgR56TxkZrwC+/UKTgSyRqliY9MyNMZDTz58vSMqD4w6NOz4jNR CxW7AWHNLyidL7WDzKvT6zOnCstSlkduE9uf3w2rBq2eXlQT0kpNVAWolmq1xc9bP3ETE5lU wQWVIpD59EBKXMaJGNQ0Q92KE9PGyyI4f1P6KQMCT4r893UzMWOQfUVWNCRaMyRbM3ZkCmvJ XXj3hCBZe2kN2+DEDjk5nCLybW/gVqUM1OWO0ol+avSQwIq2LMiu6+ljy/fRB59/7jevr8ZJ bGi9OMVnfae17wuioDPG0nH4iL6nGtmLye3Efm2VRicPL992zyf52/PXzV4a3oyhpO0pUidd UFb5xIQOK38uDbqcgYQcZiOUPPZNRQOBGDKduZPvlwQjU0SofF+uiUZHQR2tl47mPwDr/kzx LnDF2HTZODxj8TVbLJ1FG1W+8xVDVvc8xHQWbDzm9JERJvldKb1bH8f1HluIvgWk18CKBvLg 5PAcgbhNfbyYPg5g/okIihzk+eXlitJ917B3Gd1UQNfaisolWERpTdpC6skoy0YqhdqLo1Vg By0icgpgu6Qf3Op1hnF0k0DczqGnLWciB5v9Ac124LzyKjz2vG6fXh4Ob/vNyeP3zeM/25cn 074Wn+lhNxJRWOvhTpG8UHlP2qpV/CT3qrX0Zxqru4p0+3X/sP91st+9HbYvhmMUcdGhX4Ao SudDx8CCUd0YKl2eUDElusOH4RCh5ammRaVMaEASyYNy3cVVkSlNUQKSRjnDzSNUqUtS44U6 KKowoQJUDJY7QWLr/SuWRRbqXqheEGTlKljIJ/YqivVBG8AIgcVMn9PB6ZWJGGRxjZY0bWd+ dW7dEwAB9s80tp3FmIA0CSJ/PSM+lRxudxIQr1p6jLN2ifCZW37gMm+SgSWA6YxPRDVAxBlO STqWOmrLY48OrLw8LLLphoINvNe/MhdXVKZCU4TUUPG7lzKXRQXRYFyen3UqlTJs+nSOsNcT yQiyhh8Yq3skj9/L391qduXQxFJfutjEu7pwiF6VUbRm0Wa+w6hLr3LT9YMvhnWCpDI9MNat m98n2gTTGD4wzkhOep95JEPor1H4gqFfuDNef7RQSxYekLQKe1XlraXqnrY01HURJDLakQBo CqWesCvSDbwkSYTqNRYYpId67XKQprtaeGfAmDPzZmHxkAFJiOcQWzEVeV4YVl3TXV3AzNVa ATghRlGuMFT2QkhehFZrXFSo6AvgNh/epDSNoGVSNKmhgCiyRNNCLiLwPJVNPKYiTb/l+422 TJYtnLj1tglvNRWseVoY+eLvqTmfp6Y+D3pIKItUSzFMMsOjGfyIQ61RChEZZQ6bsB6cKy7y RlOn0h6wcvLSTeBn/86sFGb/6ltEjdaRRUp0SIl2gcZLwcBqpYO7Lk7bemHZaTmgLEBxR8sR RodsbO19DQUNsk0HicMRGMznMSXOCOrP/fbl8I9wMfTtefP65D7DyiDTIjq2IUtIMupA0Zf1 faD0tJinIFmkwyvDJxZx2yZR83mIMJlBk6AGh5PChTaw+zAOhKJb3xhsBYfz5/bH5o/D9rkX x14F9FHS95R3FaklxhjHRbl4k8havGRA6yltSGEYeWHc9Rkk9JnZpyUsVWhbmnFm0F4oEgYU uXJjkUzFzAV8AgIdquU1tEZdUUKnJvcRQNIkt2yPZJJ1FOAzNiq9Z57lflaV3oKIGqKh29pN Tq5cUhEQzm6WevUoMr+3V4ahgjGxUCyvbsf21ojDo6fsns8f/z2lUNKVt74rYaGl0qpNRTMA JaH3b6bh5uvb05N1VhBKSNGqwXhnzPOsTBCBYg2mFRiEz/llzpycBbssEoz6xhyax1w67iFa Qgr/SxQwrwJ12voKxgThRoRQF+VUEvpWhTUT37ndQaI47DiXj/Rtbdl0SOYdNT+GlbbHYOBd 0yWVwWBzlp4YxHu6+3E/onHfP1J3UQE0AoulmZlbO5cZBKICN17t5VpYz54ryeLTz6fOY/44 MJ0GucFHcjsTSAvI6OIc1ZkNkR/xE2OnXljOnOSzC+Z/ku4e/3n7KWfy4uHlSdtj8MDWlpBG AyNPF/Iw3pzLHNV1iqIBudfLdGDp0ZEPeTDaobewKoxdVYXvylUDHs/VBg+5am2ImXWLFnb4 xqtp/a/lLaywsM6GBb3hcY2tLxaYOyzZBW2uavDtthEBfwb9aoOIW6IhqyDVWQpMdj+ZMT4S b5YuxxZKIDdRVFoLnLwjwffaYZif/Pb6c/uCb7ivv588vx02/27gP5vD459//vkfc9TJtOdC pnLlxbKCiagsc8miiTSwjhMFx+NE20QrJoh6P3MIL1Xm2iOTcNed5VLyYOktlqXHxA/ui7Ks I0bEkABRH34bkiDlcDmF3jiSFjasuPftBVY6b5ErzDIMcMB7+x8rOin9/j+GwjB+cRCK5U5v XiHIQFvAMQufT2CwynuMiSrfyM2T7UT4Ayu7X9TEzmWHEbO3lyP8emrbF+bcCeeEW2KCCuqY NyABub4Gq6ClxRtg4MYX872GCK5rNQjunEJQFfMcY7efnep8p3eQGN2SvgSUZy+j0M60ue3F 0YoQRM1OE8MTZDi8aWYu2qD0C1joU7mBN5FyWUSiVW90UVUVFaybX6QMTZ1M21yK1xbUONVK +2YqlXGGQZnyYG1FDR7KU8r21U1wUVwZcp/mziuvXNAYdUCLVf8ZCUgJIxPuZITCXhVaEDRZ FoMCkSDg5rqql0AE/YcylZEpi4M+pzsrb5lrYLr2E8dqv41jvQpw7ISCId7w3IB9i8NBhuRw Kq4l1ZtGobGdmb+RnrrlshPqga5hmN2abD9xXaTtcFGUwTkQTj+isoxDoOoWZKa4/546BIq9 3E1+sYSBR3w2jl3ZGX03U9JI34917on4XXrqFmuQwG3bRiWKYcieBW7qwrTY1vJVdIxCiVM4 7D9gtu0BDqNzEiglHLbpVBi5pLDH6Q1k4Ud9v4zklib7ZezQ1Oyz6XQKzlwde0kNo77SdF9i Cfoy4/mlSshg4sykd0ZE48GeUfL7ygIf3iZjS4xrxvgcRm9R2oR9P/JoCbW5JWJ/8khZ5QhE bXFrbLvuVZlDg8HeKJLBcvS+X8c1/iZkHI6JAFLipbIuGL86AsJyZbfWun8feggoOUrIaBNC gbi9n+CLC/YiLTJc1DiU8FOGjTadmDTk5/lSnL26YORKhdJ0y/mOxFZcRCvbC4fVzPISV16u M2O3x9UBY4shADeAaBgHbwIgX5J5vrxgnuSDoMKEQROItrV98ulc+SrD89U9B4+o8C2xwVu7 iQbntE8EN2GiOcpJcTMxY+4y/iQkK48aKKy5jGzBcqr5UYNggZfgsAPQ+2MCJ2PohSPrUh8h rsrgzDLRUNIBzER9xDo1NSCFdQ9r/iQHZVZMjAi06wCRYHJ2CDUF5klbJcICgMcvT+LeUoQ9 RQWEquU9a9VeVqZ0aHpPPCaCJHEzD43nLvw9dfvY+uKWDtdQvHb3UuMKUnCJz+VXXprM84x+ EITBgy9QSW+JbzwGCsuyHqHnlhQmj1450YdAb2axFCcQ6roIQJKpCxi460rJJ4zKZvH5Snu1 WQiRnr8ZwhQxOI8Qwri7ZLQx7Eq8CdMfxMYiYMBXOPb4UdrFkSeOn+KGyfR6xYB4f4tNhZEY Ydt3c8zqpF9QdaZRK5QF8PYRtvmaz2RlBV3H3+oJg4GLbqrrKPNT7R1U/7CrChGB2bpvNkxz 8LISjktwtrELHnlVup7wJ4GYsmG3PWTHqHjbx5+nghnaFmbynfL/AJKjeNL4ngEA --c3epkfyxemzygzgk-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============6477438896495551603==" MIME-Version: 1.0 From: kbuild test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH 09/24] scsi: Kill obsolete linux-specific status codes Date: Tue, 22 Oct 2019 02:56:01 +0800 Message-ID: <201910220211.dlMtQmA3%lkp@intel.com> In-Reply-To: <20191021095322.137969-10-hare@suse.de> List-Id: --===============6477438896495551603== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Hannes, I love your patch! Yet something to improve: [auto build test ERROR on mkp-scsi/for-next] [cannot apply to v5.4-rc4 next-20191021] [if your patch is applied to the wrong git tree, please drop us a note to h= elp improve the system. BTW, we also suggest to use '--base' option to specify = the base tree in git format-patch, please see https://stackoverflow.com/a/37406= 982] url: https://github.com/0day-ci/linux/commits/Hannes-Reinecke/scsi-Revam= p-result-values/20191022-004918 base: https://git.kernel.org/pub/scm/linux/kernel/git/mkp/scsi.git for-ne= xt config: powerpc-defconfig (attached as .config) compiler: powerpc64-linux-gcc (GCC) 7.4.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree GCC_VERSION=3D7.4.0 make.cross ARCH=3Dpowerpc = If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): drivers/scsi/ibmvscsi/ibmvscsi.c: In function 'handle_cmd_rsp': >> drivers/scsi/ibmvscsi/ibmvscsi.c:989:39: error: 'CHECK_CONDITION' undecl= ared (first use in this function); did you mean 'H_MR_CONDITION'? if (((cmnd->result >> 1) & 0x1f) =3D=3D CHECK_CONDITION) ^~~~~~~~~~~~~~~ H_MR_CONDITION drivers/scsi/ibmvscsi/ibmvscsi.c:989:39: note: each undeclared identifie= r is reported only once for each function it appears in vim +989 drivers/scsi/ibmvscsi/ibmvscsi.c ^1da177e4c3f41 Linus Torvalds 2005-04-16 968 = ^1da177e4c3f41 Linus Torvalds 2005-04-16 969 /** ^1da177e4c3f41 Linus Torvalds 2005-04-16 970 * handle_cmd_rsp: - Hand= le responses from commands ^1da177e4c3f41 Linus Torvalds 2005-04-16 971 * @evt_struct: srp_event_= struct to be handled ^1da177e4c3f41 Linus Torvalds 2005-04-16 972 * ^1da177e4c3f41 Linus Torvalds 2005-04-16 973 * Used as a callback by w= hen sending scsi cmds. ^1da177e4c3f41 Linus Torvalds 2005-04-16 974 * Gets called by ibmvscsi= _handle_crq() ^1da177e4c3f41 Linus Torvalds 2005-04-16 975 */ ^1da177e4c3f41 Linus Torvalds 2005-04-16 976 static void handle_cmd_rsp= (struct srp_event_struct *evt_struct) ^1da177e4c3f41 Linus Torvalds 2005-04-16 977 { ^1da177e4c3f41 Linus Torvalds 2005-04-16 978 struct srp_rsp *rsp =3D &= evt_struct->xfer_iu->srp.rsp; ^1da177e4c3f41 Linus Torvalds 2005-04-16 979 struct scsi_cmnd *cmnd = =3D evt_struct->cmnd; ^1da177e4c3f41 Linus Torvalds 2005-04-16 980 = ef265673434680 FUJITA Tomonori 2006-03-26 981 if (unlikely(rsp->opcode = !=3D SRP_RSP)) { ^1da177e4c3f41 Linus Torvalds 2005-04-16 982 if (printk_ratelimit()) 6c0a60ec52042e Brian King 2007-06-13 983 dev_warn(evt_struct->ho= stdata->dev, 15c9274699e8b6 Tyrel Datwyler 2016-12-07 984 "bad SRP RSP type %#0= 2x\n", rsp->opcode); ^1da177e4c3f41 Linus Torvalds 2005-04-16 985 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 986 = ^1da177e4c3f41 Linus Torvalds 2005-04-16 987 if (cmnd) { c3a3b55ae80a0d Brian King 2008-04-25 988 cmnd->result |=3D rsp->s= tatus; ^1da177e4c3f41 Linus Torvalds 2005-04-16 @989 if (((cmnd->result >> 1)= & 0x1f) =3D=3D CHECK_CONDITION) ^1da177e4c3f41 Linus Torvalds 2005-04-16 990 memcpy(cmnd->sense_buff= er, ef265673434680 FUJITA Tomonori 2006-03-26 991 rsp->data, 72264eb6dbb909 Anton Blanchard 2013-09-03 992 be32_to_cpu(rsp-= >sense_data_len)); ^1da177e4c3f41 Linus Torvalds 2005-04-16 993 unmap_cmd_data(&evt_stru= ct->iu.srp.cmd, = 4dddbc26c3895e James Bottomley 2005-09-06 994 evt_struct, = ^1da177e4c3f41 Linus Torvalds 2005-04-16 995 evt_struct->host= data->dev); ^1da177e4c3f41 Linus Torvalds 2005-04-16 996 = ef265673434680 FUJITA Tomonori 2006-03-26 997 if (rsp->flags & SRP_RSP= _FLAG_DOOVER) 72264eb6dbb909 Anton Blanchard 2013-09-03 998 scsi_set_resid(cmnd, 72264eb6dbb909 Anton Blanchard 2013-09-03 999 be32_to_cpu(rsp= ->data_out_res_cnt)); ef265673434680 FUJITA Tomonori 2006-03-26 1000 else if (rsp->flags & SR= P_RSP_FLAG_DIOVER) 72264eb6dbb909 Anton Blanchard 2013-09-03 1001 scsi_set_resid(cmnd, be= 32_to_cpu(rsp->data_in_res_cnt)); ^1da177e4c3f41 Linus Torvalds 2005-04-16 1002 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 1003 = ^1da177e4c3f41 Linus Torvalds 2005-04-16 1004 if (evt_struct->cmnd_done) ^1da177e4c3f41 Linus Torvalds 2005-04-16 1005 evt_struct->cmnd_done(cm= nd); ^1da177e4c3f41 Linus Torvalds 2005-04-16 1006 } ^1da177e4c3f41 Linus Torvalds 2005-04-16 1007 = :::::: The code at line 989 was first introduced by commit :::::: 1da177e4c3f41524e886b7f1b8a0c1fc7321cac2 Linux-2.6.12-rc2 :::::: TO: Linus Torvalds :::::: CC: Linus Torvalds --- 0-DAY kernel test infrastructure Open Source Technology Cent= er https://lists.01.org/pipermail/kbuild-all Intel Corporati= on --===============6477438896495551603== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICLj5rV0AAy5jb25maWcAlDzbctw2su/5iqnkZbe2kpVtWbbPKT2AIMhBhiRogJzR6IWlyGOv KrLk1WU3/vvTDfDSAMGRTyqJze7GvdF3zC8//bJiz0/3X6+ebq6vbm+/r74c7g4PV0+HT6vPN7eH /12lalWpZiVS2fwGxMXN3fNf//x2/9/Dw7fr1dvfTn87+fXh+tVqc3i4O9yu+P3d55svz9DBzf3d T7/8BP/+AsCv36Cvh/9Z9e3OTn+9xX5+/XJ9vfpbzvnfV++wJ6Dmqspk3nHeSdMB5vz7AIKPbiu0 kao6f3dyenIy0hasykfUCelizUzHTNnlqlFTRz1ix3TVlWyfiK6tZCUbyQp5KdKJUOqP3U7pzQRJ WlmkjSxFJy4alhSiM0o3E75Za8HSTlaZgv91DTPY2G5Cbvf1dvV4eHr+Ni0UB+5Ete2YzrtClrI5 f/Ma96yfqyprCcM0wjSrm8fV3f0T9jARrGE8oWf4HlsozophZ37+OQbuWEs3x66wM6xoCP2abUW3 EboSRZdfynoip5iLywnuE4+zHSkjc01Fxtqi6dbKNBUrxfnPf7u7vzv8fZyF2TEystmbraz5DIB/ 8qaY4LUy8qIrP7aiFXHorAnXypiuFKXS+441DeNruorWiEIm0eNgLdyTyOLsPjHN144CB2RFMfAG MNrq8fmPx++PT4evE2/kohJacsuHZq125C4EmK4QW1HE8aXMNWuQAcip6RRQBra008KIKmB6kebA 4UoCYZUWQvvYVJVMVvPBSiMR7xNnSnOR9hdDVjk5r5ppI/oW4wbSmaciafPM+Bt9uPu0uv8cbFk4 FXtFt9MuB2gOF2ADO1Y1ZkLa00HB0Ei+6RKtWMqZaY62PkpWKtO1dcoaMZxzc/P18PAYO2o7pqoE HCbpqlLd+hJlQGlPb7r0l10NY6hU8givuVYSDo62cdCsLYqlJoQ/ZL5GxrD7qI3tpt/32RLGC6WF KOsGuqq8cQf4VhVt1TC9j96bnorinOqo2382V49/rp5g3NUVzOHx6erpcXV1fX3/fPd0c/dl2sOt 1E0HDTrGuYKxHLeNQ9gt9tGRnYh00lVwfbbeomJUcO7RpSUmheUpLkCkAHlMOqCeMA2j3IgguAAF 29tG3kIQdRF2NW2lkdEb8wNbOco/WJk0qhjEhj0KzduViXAunFwHODpD+AQFCSwaW6xxxLS5D8LW sBtFMXE+wVQCxIkROU8KaRrKmv4EfYWWyOo10RVy4/4yh9ijomuRG6diTVS9Yv8ZiGCZNeev3lM4 7mHJLij+zXRXZNVsQMtmIuzjjdtsc/2vw6dnsJlWnw9XT88Ph0cL7lcawXpSzLR1DXaJ6aq2ZF3C wEDinuz9MfiokkWFtg5REjzXqq0Ju9YMNIa9ClRbgAbl3h20AKvII7vpkBv4gzZJik0/XKSJQ3SG r+nsMiZ152MmgyoDoQ1abSfTZh29P3CzSdsoST9sLVNzDK/Tki1POgPOv7S7FbZbt7loiiTWtAbb g4oJ5FacR48JTwhOcCu5mIGBupcqwYqEzmbApM4ik7TKOXa9Fd+MNKxhhLnAqAOlD4JwgrXIpOQb DbjKBMaWBlBkJFw2bVuJJmgLB8g3tYLLhtqsUVpEj8setLWDZ3w20ewNcE4qQFFx0OhpZD4apTWx pAsU4Ftr4WtqYOE3K6E3o1owjoidrdPAvAZAAoDXHqS4LJkHoIa3xavg+9RzflQNah08HbTN7Ikr XcKF9xRcSGbgL0tmLYjXFL0erlJhj7wT6MhUgdEZGtnuG/QEFzVSgipglFVt3zU39QZmCaoIp0l2 12fKRW1TgvySyENkYLhdJerQmX3oDnkGzpwZHDoPo3HkSfXwu6tKSd0rIm1FkcGmadrx4nIZmMpo vJFZtY24CD7hTpDua+UtTuYVKzLCiXYBFGCNWgowayeNB+UiCWdJ1bXa0x4s3Uojhv0jOwOdJExr SU9hgyT70ruvA6xjUSt1RNvdwOvW22UTT5DDmzQIgH8HL5sVO7Y3YGVHLzjyiNV2Wexuj87BtJQO x0kY35CFgkPjeTNALNI0Ki0ce8OY3eiIWBXfB1Lqw8Pn+4evV3fXh5X4z+EODDUGyp+jqQYG+GR/ +V2MJsIPdjOavaXrY9DhZE2maBMn7T0BocqaNeD/bOLismAx/YV90Z5ZAhuqwXToLQ06gsWikkQ7 r9NwBVW5ONZEiL4teGBxxW3WbZYVwpkrcHwKZLnSCxO1Jhw4qRgY8jRuJguP763gsmrGOwI/4jO2 r/nZ6XDY9cP99eHx8f4BHKpv3+4fnsi5giZMlNq8MZ2ln+z7ASEAEZn66H/Wnk3OBRrUdRv3GdRO 6LfH0WfH0e+Oo98fR38I0bNdICcAsKwmDgMrUA4Q835riGC0V9dZsJ2pCxAEdQkeWYNevN+pZinG hMp2AUy4lKBdCKwVtQ+eQ3pCNiNkdXi+CFu0sOiC0FS0zByJ8mBHZQmsLD2Ta5xKDSvqPQUfa0UK b6gQsGGczpQ0AEc/Km0t0PPXJ6fvaVepUjoRvTzu78Wc6cdzS416Q4wdvIAJitEqlcyLgCAGjrKB LXDIyD6dnSaSrMw7V7uHZQm7rCv0DsEMBWft/PWHYwSyOn91GicYxOHQ0eTrHaGD/t556gAseGeE u9iCFtR6Rr93QFm90mVSg8Dj67baeCeBob3zt69ej6BSgmEt/UPesYavU0UDcg0oMyvL5mzhwNBx VrDczPF4mcA4niMGabTeCZmvfUbzJzSo1UqZml5mwXSxnxtXrOrjfKpF13sK+9sd9mw6Gxaewa3R r0qQBxmY43AdUIBTC8WdHNsPlmiXpcGU2zTJu1dnb9+ezBfcJGZfEXob97V9zml9q7BmtUah1wRT WctEaGdVowVqZEJt0t7xh70DNnsBXakKPE/Vqwh6XbkGXqVWXg/1ASobTVTYFzkbpY8+WAFmda1V tUtkLajUJJRQKdvRQXOXbbFhbnN+Sikx7Az3qQzl6oXkQZ+S11MsL4CvtyHMdLphJuwzbIuQaKcW YfAsR2V/e/WExlhc11s1WG2pkFM1K4Dx46aMXboo7cVcUJxb5lnXBq5ALKZOJwFGsAyPApQmWEET LPWyK65Fh5yc7+n1YlUB0uUrcRechemlCLBnnuXBgKU/IC+JD7LexvSTTMqt55wkJSw0XMi29AF1 yfgccnbqw4CziuBwa3BArFvnDpatzOHrzare6c831zdgZa/uv2EC1AXtZu1Alpdq6QQchVROXcVa W1yXlsxp5eMdlandlkn5Ls/VZ4Q34+rMm4l1VWRd5g16fhhBiPk5iF7D7bUhBLAP/IbpvmIlSMB4 pAwpti3z7BMAwX9s64NAysM5VSBqdIAA+x6gEx/aUaXZ+BCtSh8Aes6sfVBRIw2dfg4uh9MC0Yh7 dOfoLnNBHfQBMgt7j4io8EpKh0wKllKBfwFqAmTjcIz8cHu7Sh7urz79gbF/cffl5u5A+HS4t2Bd ZGZaOH6ju01uYwK+dygYx1lgOrFJ2qYJFzBSWEHXU3ylnTZroekp2OsofRrQWODpfbTTytUWJKbS 9lCGJMfRVQ49KefEieEApgAE+MF5u5Rrd5oZRBPD/M/CvYudEehL1OdoRZW1AucxwKcumZR5Is0a F6iCgB8qo0IRBOZ3V7YXYMN4pl1ZSy99gd/ABnnMybXH8v712w9kULgcLPQHfD1opyS0VhpzF7nn CQ/U0InwMzcI7FMrFBRcM7Q9umoL2+SvCOe1bpxh6yMSrTaiArbLMcFMrCix9qf14d0JnE1gI9Tv 5jAJ/oQWHNzE0A4aMXMTCaaNlSJMq7ZKx1gO+rTZw+Hfz4e76++rx+urWy9hac9cC6IOBwjyNhYe 6M4P6lP0PC08ojGXGE9MDBRDZgc7IiHg/0cjvMUGDOMfb4IRNhv/jyc25g1UlQqYVhpdIyXECyL0 1t68H5+P9QDaRsZCjd5O+zHyKMWwGwv4cekLeLLS+FFP64tuxuJyRjb8HLLh6tPDzX+8SOLYGwha qugoHCXy8R221tKxHY2ZWL2x0kt3gnNGMUHQdHbkbg3rlZ9uD/0Kxyo0aIBgf8FhmcQAs1sKGjUV McnpUZWiahe7aISanYddVc3HGa3S8CgGqxpXEmQexg0ZZz5YG4u90i1zO0AgdKe8MhwQ0Dx61EaW Na4O5GPc7An9HBrXnhkc68vu1ckJ3T+AvH57Eq92u+zenCyioJ+TyGGtL89fTdWCzu9faywHIV6F S7m6wDBaquA8acmSUOuCBq8M4+iDg2/mJUfWqqmLNvedauvp2jgy+riYsxCeMUVjeX29Wd/PSzQa /hbYGWenk1PdE2ZMFi3NMG3EBQ2u2M8ObaEw2ADK2SHrVucYJSfOHSwDI+f99kyZ8wm8VJDIwXJc d2lbeiHPjFnQUmUQyj5xlMh6yjzI7w6uoP7YMRf7psniliZRK5XCbXMlGGP8EoQ2in48PVsXgURw scmJY1zIbXSB1T22lzDKASeOFoM7jhIoipDC1sEBQX/Gi+hZ9BmdnvHAew7OqFNcFCLHEIKLbAFL F604P/nr7acD2MeHw+cT9483Xj9Ty6+zDapZ1Sm008e1eg7q6cZeoKXowtmAD4U/3jlX/nI2IPpK 2h48BnxEIy6aGbFNOodAF7LGEpxLVQmlQZKff/Dna9rEDg6LXTLnOfoKgQfkRIgpAzM5FRVaCYU0 QyB+UgllilY/egFRa8OhSSUArFKzrmE6x3KPCW6PaMew9LCvH0HjoNGKJnpdlG8GiFWckJhibAMw eyC8PEYP8aP/FBoEF6f9Lm2FhaWLX/QSFrZBEbKJMlAZ9DZLj4zI3UenJzuRZZJLDDr1dyfu1tnQ lbubsVSg4Bg7DmJCcB83Yh9LuYbOJrCDDdawevTFk+fHuSIcK18dvScfTdEVCY9qW9rXdFsrdAGg M1dwTeaO7K6yDN2Kk7+uT/x/Jq1gy7ShD32MrF7vjeRsIgwJLLe6zG0gNdHRBsHM1/NicofJQjm7 GVLUFIPAbUadMYSEoX7ab5fswdg0EeTW5lwwaA/enFepgt5+i48DggTbhsYTsYs+XzurmiY40NHH 0BjdnMXuveaTsxz0uqU2u4+rdZTx/XHFhWwwoRKvi0VaP6LuINQE2WLpPpZhTXO0IDoxR+MK7F3m rkMlxfczK3lIn189XP/r5ulwjXWOv346fAO+9yOsnmnh19M4CyYGE0UW8ICEOxpYR0OcaFqPpRzB U59hCuN3sFTAfUiEF14aLyUqbpjBgpGk6ibsb5YjsROZ5FsL5qjMKyxj41hpHBgRaMpgIWwjqy7x 31FstJiN5vYDdg3Tlqgcw+sSbbDYU2Q9tBvwfjH0NS/+ytrKWtp9tElWvwsePmTA7AstsJoeWtge 18DeE3IQsaimrIfmrIyI6QvGQyOz/VCiF3RvStQW/QOacFVa5KaDK+7yqf159NLfozPU07Wg9a5L YEKuZDHAkTqfyIoxxTvP6LpOmU5RqdqazQZ2ELbST0NO/ePcY3BbhOnW09vus+32ON5bJ2875xOg /bGIrPDFFFiosn8w4dnYZduBD4J25+igzQ6t3wVbVM3L+oKvQx9qB1s7uGBwLh9bqcNu0LSyRaju ccrwdCpC1Gfyf4hWFSmhj+1eb2SgJ+bloJfgrlwADwSvpz1UEjtyD9x89PAwYxJF0bZBIwOmZRVy FFqcaIbjDdvIGTr+DiO8YVimJ2zdMibxX+4CL28ooUCd25c+sYE8QVChF4VycqiXidEhrtt6eWRy QCoDKxKmtQ95U6WDoya4zCQ5XkC14Bha6Yu1nlixGFmCVbwg5exjLtz+yG7Z5taQ8lh/mp9XqhJ0 4OMmZyrSmtSnLHVCSd4FfFHvB8etKUJBYnuxsX1QCATJC4WeEax7B5KKIPDWGJnP3Jl+Aj2aBSrB Vv10Pk/1Ld68nqPGHUZjtmtUaHprkVnemr2cGilQttLiyZjzQstHwezhel83gzOQc7X99Y+rx8On 1Z/Og/j2cP/5pk8VTBE5IOsN82MDWLIhvcX8wqtjI402fdHmYCSglcb5+c9f/vEP/xUovsJ1NOSk fGC/Kr76dvv85cZPFk+UoCsa3DOB3msdfxVGqJH5QRi14aOncWlkuLAA8wULclgFiJwSi6ipnWIr jU2JG3kSXGvKJQ7UhxwKxWKJ8J6mrRC/2Niho7tBTI4lPPZjNB+f9i6w7EAp4/5zj8Zbo8F2OUaD hT27rpTgslTkhQcY0zYqFa+0rkAgwt3dl4kq4iSNluVAt8GS78X9NO4FWQF2XksEd+JXd+JbDMON hOv8EdO7PgZfaSQmjwILmdCzmh51NCLXsonz7UCFgaf4WdpXTX1QyJoPcQ8NyXZJzEdwQ2B9VWbC CeKuYUR0nni4eni6QaZfNd+/HWi+Aaucrak9VHLQPhk4UNVEE3/4LC9eoFAme6mPEsT5SzQN0zJO M/AF4xOeKGOTKuMhvBeaWBJirdc4t8sK1mfDhccmh08mtTTdxfuzF5bRQn+g7sQL4xZp+UJHJl/Y jWmoAm7TS4dj2pcOeMN0uXA4PYXIZHx/sQTz7P0L/ZPbEKMacksBB3v3fRb4wctQfvRLFHsYWpg0 boRgG2J0D/LV9MaSXBNoJ5WL/uKLJ7+QgyA3+8QPsw6IJPsYf83ujTfeyvFJNfii0nuUISu7WaYG 1YgqAxbvP713eGuKOfwxXLTtDsSbWGpMkX5rv7aTNQrLu3RJfrzAKlk3dRA4aldRx0bvDJhIC0g7 2gJuMrFKqXbklUn4PUXB7VGLvw7Xz09Xf9we7A+erOxzmSdy6ImssrLxA0ajDTxHwYcfb8Iv6zVP z2nBmO8fFRMGdH0ZrmXdzMCgYTmphIIuxxxaz0JL67CLLA9f7x++r8qru6svh6/R8NnRRNWUhCpZ 1bIYZgLZSnX77q62fn06C/yMOSb87YkmNgzmPwS10yfUFv6HvkiYLZtRzAd1UsLm8eb4jJmmy6kR YVlqg3mNoS3hKrcE+kqedoblXjgV+0swOOCs5SzN68P75Xh2ok8wcJOyNzL+nnohV9w/g2mc0MS8 6GnQKEHDjq6qBzjOD1yuGCzyHoXmsZt1HSOBPxqk9MvFrWvG0lR3TeRRxygeSUzTEHYc9skyDShy 29P56cmHM29iy5nz8AB6TOx3HI5GGmLY/lEiHSVKVrq3lT8wpo2QcQbqhnbKCwFmHUKjyjfTsPEL z/K57xDD55HU24iNlpgjFl+1YOBgbHJZB0nRCZO0cev50npkKl6eAucttEYHw7qLLmKIj66j1DYM bEmGaNYx77pu8KliHyOapoMBDPfSfqkxeDLG/azKFuu28RFNLAYxphQHznflB/a3QeIeMr7PFxVf l2zhJaZV8yAj9vbO4Vvu6NF4S7ShLBYWKiDWMmRK9c6yapn0QXMeak6AgdQCSwz8S78iAF/xwylo L4lhNgmqBFENAXer1arD03/vH/7EYraZOgOBtBHee1IHAYObxY4YDfJpvNaa+9xLOVtY2Hq6tUVs Vy8y+ogbv+DC52rS5BZkn6eTHJkF2pKNjC3UZFoS8Ec6LCfmcS/U0jghe6wTzEmZRvKl+WPIGvPf X+kJAaPSGfeg46Oltf1xCBGNkEmPS2TtDIj+l5Wm21qPDmqnFdiRseI8IKqr2usMvrt0zedA1NN1 MALCNdMxWWiZs/Z/08zBcjTyRNleLLbqmraq/HwgLtMuI1Z2sEdlqzbSjzS5vrZNvAoTsZmKv7Pt cdNMlo6hY6Qi2wKEqelpDzAsJFgIdkk3T59xLNCyVL8VPmbcHwrECxeAGl4PYH9KbVovX1BLodnu BQrEwkFi3iN+q3B0+Gt+7M3LSMPbhCYEBlNkwJ//fP38x831z37vZfo2iMyN7LI989lne9ZfA7Sl s/iqkMj9lgfe8i5diC7i6s/g6I8g4ciPYN1pL8+hlPXZMlYWbBkZsDtFGdn8H2fPtty4reT7foWe tpKqkzqWZMvSVuUBAkERY95MUBfPC8vxKInrzHimbM/Jyd9vN8ALADao2U3VzETdTRDEpdHd6Mto SADWrCpyWSI6j0CZ0kJ5/VCK0dNmGU58R6fZ6HtL+lg2hKOt7XVT7FZNerz0Pk0G5zst7cDQY+AB XhT6IoC178u6xDSZSsn4weMm+mmQsPW9CBwGWUnLQEDaX0LazxsguRva5J+vZzypQSl9P7+OEoSO Ghqd/QOqFRqck8hFNU7IYY7pVfJcC3YOVOfnMuET9iFmENAUyHLUCFjN6VgW1/LqoLVJj2KwDlVc l3RvG1lxr2sDDjq4lYWikyI5lEp67dfWGBKT2I3iLt2LhsxUB43krHYahd+jD0GY+QQX5ncIYRlT 93tRmeA1+4vH+2vUYZOEFcPV9Fo7afvH2+zp65ffnl/On2ZfvqJJ7Y1aZyd8c3XnP/r++PrH+T30 hHHI9FaZTWAGhxja4eEcsw8FhIsxcWzeNdkiKDs6LukH27QGnP6Ilg7OokyNxvbL4/vTnxNDWmOO U9CwNW+l2zdE1NYcUxn5dpIEJVjhBAFOsRxH+lIioBWWzUGNWJks/+cHOFmMx3zFNPe+9jaxkX81 hubmsOqBs5weJkkiUPp8vMvDQHodMby2OwOwEuhP5cHhywEly35jOfD2BPCg/TLE9nyktyOcJ4aV SIvxQJmxfJeKcQsgydGW9Ik5aifx36upaaSni5ZcnOkKkrTTtaKna5iFFTVlK3s8V6G5WZmhwt2A zxjj8ohgPHuryelbhSZgNT0DUwNMbpNV8KzbVjLa0TKUQSG52E6IYtvSfHZon0ech4TWRvGaxlWB xI8gGNJiGqvp3FXpoqaOAmWfp+ZD/d+N3GXQw7woyrHfk9ZkFPMVRwCRvTikLG/WV4v5PYmOBM8F mV48daQU+LkIXdqmtHXqtLihx4WVdILtMinyANNepcWxZPTtohRC4AfekExT1H2iUM0B7r+fv5+f X/74Z3sp57nitPQN39Lj1eGTmv6GHh+roFCvCcrKD7HzCLQuMt2JKuCB0OFVPN1J5V9Zevha3NPK S0+wpRXTYRTpvdTh4cCfbp9dHKbdpUGIVNB+2pHAv4Lew30jFc1k+sm6v9hRdbe9SMOT4o7miB3F /YUp436ky4givv8BIs4u9ONCN5JkemJLOd18qylOt5EGLir6SRsHBpmt/vnx7e359+ensaIKmvTI JAcg9BWT4f2MFDWXeSROkzTaaBAQ/VqS+DiJ3i9pLty/QR3oU80mCEgzXQ+A1U4SBDM294NVxr4B uWs4cFZ3JFrMCXm2acukpph4N3PzqWuTJ14UoaoRXnJIgt6mkwSZrKZ4DZIolnkR8iMSWU6/JQ+k d+i/RESB666+EzJgqusJ7rYXG+FqH+aIejTKgH9fR4CCR2CiEE0skrZvWTE9yDKeHmFjdMM7i+kv DA9AzbtbqbBEARJ3XNhLLeJUVtQoV5g3p8CSLI5fGkiNTLvkkb0oSpEf1FF6i32Q6ojbFvsTtKkn aA2fnLtc0a9M1MQRqHvqmdYcinSJGiHq9lNUOVeUNbiyfcqrWNdasG8TTqWbGtxkKNfG0dCJa9EY 4yllUtbXCpjmXz00bsLl7b39wyQhdqYX0xXXlWAZ4QJqtY48sS0N5F58zt7Pb++EbFre1V4xClsH qIqyyYpcmrCPXm0btekh7FtWa8JZhulRA+MXEMa39K5ioFOeqpACFTd3PCO+6Sgxosc2GHcQ3JsW FCNWXM8sDfLrPfB4h4rCfCwRdIiX8/nT2+z96+y3M4wRWsU+obfVLGNcE1j+gi0ETVR4fZ7ocHQd vWTlQTtKgNJqZnwnJw66Dc3COZO0YMVFmTShykV5TA98eeG8CnFa6mKj43cYAdp6qLSgHQaMCydp uF6s4qCt1YPzHpMppv3yIjLFsL30XEXnfz8/EXlV2kyeljuo8bp3QP6PtuCRcoFEonEAC/QhAl5A fDU+ZPKxWQCMQbtTXiMT/jX6zfU+oBtzTA5Ic07EAaML4xjN3jpvMzMow74fwA2Hv+jTwCJSSWBj 20RtdpvpbgCnZ9b0u4gm0qkjW5s1duzp68v769fPWCxlyHhkNvTjpzPmRQeqs0X2ZuXndKYW1mwk clgtGBxDmr4utuiOeVzD3/NAPhsk0LHSbdBqiEg0J0xHfhrxq+j89vzHy/HxVffHGMWV9WVtnyfJ erdreiD7QRYvn759fX7xhwwjvHUsKzlazoN9U29/Pb8//UlPm7sNjq1IUQs6M8J0a8Mu5Mwuz1Hy jEvm/9ZBPQ2XdtwaPGZSjLZ9/+Xp8fXT7LfX509/nJ3ePoi8pg1vZbS6XWxoi9V6cbVZEFtB++lW DA4qe0NWrJTeOTxE0T8/tayQyt+5N7FriUhLUgQBHlxnpZ1XpoOAGLF33HdrlkcsdeJMy8o0H8sq 0wEPuh5TN2jx8+uXv3Dpff4KW+d1YNTxUY+47dRpUqJ07WBOlP4TemoTqDz+FIKSjm5ql47fr64P JtwJQ3scF+x+XDAeJ6rkIfD2lkAcqoCx2hBgWoC2mca47tLGZiQzCStaYh1PT0yhVRJAJ2HxkvvY 6MM+hR9sCzyldjIBV2Ln+Eyb341ccFuKDCy3PuvJJ30wO+uvTSdWZo13bjopTroHLWmmAPGCe+Ub euwuDwWu1dQxF9V22gdnZxUxuv7VoVwNMXpz1rUT2g5Ak7WcRN0V2w8OoE2C68DwCtWRagHmxFnA 79x2mYPfba7fAdCmzooar6YWoFCIStkD8UUm2heTtfeJz+FIbbO6D5zLgIjn2+A3R9Np4+Hyvc5T S3mpdCR2dhceVcWoFhgS4bGnFHxWLcvl4kQLzx3xPhOU3tCh06Jw4gYHqHYW1yG9v67HzeoY3gLp Jt8eVVtqvfUjso1sC0cHVnfhsEGNP60nGnXSp1rA9mOGFFk2Tmslq5ub5craYjgBqE7y6EB3CBNv 4VJqRE1Z3EyUFb7HyQHTQ3VQ5uSXesM3xqvTWPTJD5lwZB1/1BFPKjSAaHxFqNOD7UZNVM3z2xPF 0Vh0s7g5NSD60IounBvZA+5m+uDfZocsIO4lLK8DVXBqGWejFHhDo1xtlgt1fTUn0SDWpoXaV1iC ojpgvRBaVgd+n9K6PisjtQFllwWsRlKli83V1XICuaAFYSVyVVSqqYHoJpAXsqPZJvPb22kS3dHN Fc0zkoyvlje0+TxS89WaRinYQEEhvpOBwzWcjQDfqCj2JdmumUOJ5S5opX7h82ET1ibgkM8oVcZg YOcu6FuGFj/OyuRTZOy0Wt/S97ctyWbJT/RNQksgo7pZb5JSKHpCWjIhQE26Jrel96HWwGxv51ej HWHq8J7/8/g2ky9v76/fv+iiWG9/grT3afb++vjyhu3MPmPe8E+wwZ+/4f/aGtP/4+nxMkylWqLw RG8mdFhgKE+X4yBu+fJ+/jwDeWH237PX82ddqn2YZo8ERafISYOruIwJ8AHOMQc6cGs4CT3JzHtJ 8vXt3WtuQHJUioguBOm/fuvrA6l3+Do7tOQnXqjsZ8uu0/fd6nfnhzIxTpacKPLjPc0zBU+oKg38 lPoZ8QHC4n0nhbvZTQBncggMgMF6UYwbKwzBIK+iszJLOdZqDNhZNElVq9MPUOwVbTtK2JblrGF0 7WDnpHOMadJ125TReLfpM948PC59orMyZIUl9VVMRjr3uV2FgNuGM/1MZOdv1ZDOtdWF6gqpca+m 6860vZi9//3tPPsJ9um//jF7f/x2/seMR78AN/nZiv7tJC5bLk0qA7O8pXq6aix6qaoBHThyUjR1 TbhF9TooeX2pP4fr1I5dpTkb0ybjpw8oJMCSLEZfpKeo7tjXmzc9qpTUhICg1ILdEZf6b+oBxVQP 9/rGkCVu4Z/Qh6uq7N82FEL2+v1f7oAcdb0gZ31qTM2pq2mD04UadCFQr/P8tNsuDRGBuSYx2/y0 8BFbsfAgsOO7OggjUXV5bE7wn94V4alNyoBnl8ZCG5tTQEvqCLyRd/EMbV0TaManu8ckv53sABJs LhBsrqcIssPkF2SHfSBxvWkeoxdg0icoKp4FLjc1XsDrFzQ+A0lKM7VcHENF4nuaCbGrp5nYJVlZ LwHtLUOALnCH6dunnfh1vlhTT03hF6ZVb9dmrKrL+4mB3ccq4ZMLFzTBQMVl/eaHij6vgFkELqxM z0Licnt2nJbzzXyiX7G58wkeqJpoFyohbthgGZwlVPGIIw3BMffmzgD74sjeO3JMlTLRh1yy0AWD GadaUBGLBveQ3Sz5GpjPwufjPUYnNjamKkwAhWkjfr0K0XbRbxj8PBghPCpcg5pidR2icKqvtGNd jSF+Qeke7tttNeIezk/JG1j6VA2BloQ1o/lBYMfPvQO5nFqhEV9ubv4zwXDwcze3tI6mKY7R7Xwz wRLDt4hGMMoucO0yW18F7AXmcIuZZyuxsW2CHX9QeCJSJQt4sAgVY7eO7vb2JfSOKPGFwqSpIsZH bwV4UjaK9lnrKEQW/BjAsnTP7CATSqrtTah22Xs0kZmE3Hnk3DQhAvSFbYHpITHDrfUxiCv1Km2D 6Ia7xL+e3/+ETr78ouJ49vL4DnrP7BmrOf/++GQVN9FNsMS+y9agrNhiasC0zLrYGssVoX+or+9I 66dIwcWBljk09r6oAo7J+h3AmPh8tQisXt0LlDl0W9Sk6IT/Ml1cu8MJQ9IL+jA6T/6wPX1/e//6 ZaarzVlDZt3HgUjr1aJzu3WvQjcOpk8nysEcMdvMaCymcwChe6jJHGMirgQpSS6t59OxtGtQTrsA mEUF6o2XSMT7Akk7nLRI8kzTqMNx1JF9Gjg99dKXE8N8kDUcKWNdsvzxgSv1Kkqp5WNQmZPkzsCq OiCNGHQNEzGJL9erW3pRawKeRavrKfxDOOOiJoAjlF59GgvS1HJF29t6/FT3EH9a0BLqQEDbcDVe 1uvF/BJ+ogMfMskruhSFXuuMy2I0aSCEwlFBr1pNkIuaTxPI/AMLeE0bArW+vZ7Tpk5NUKSRv0k9 AhB0Q4xFEwDrWVwtpmYHmRO8J0yAnnghJcYQRAH7st7AATdSg8R7xApjxSeaB9axWge8WQju4SLr QiVyOzFAdSXjNOA8X04xFI08ynxb5OPw9FIWv3x9+fy3z1RGnERv3augQmBW4vQaMKtoYoBwkUzM /0gW8vBTR7aZ/49+iSzHR+T3x8+ff3t8+tfsn7PP5z8en/4e14jDVlp3gdE+HKuuneIajW1iNiyL tFeCyU7vgDGzmV0JGEAos16NIPMx5MoqK2lA1zcrB2YyObA6caBaSXGy22xHibO8j4myrrrC+EMj 5wY7IurWDKjtPnZF5o68zW/ZVrjVeRBDpr4IE+cq2CwlmZoE0Cb79BcLonJWqqSovVfXCWrAVXGQ mHZp4oXhxGKA1KkiJylERa9qbBm9iejPwFCLovK6jFGzZJ1Jm8hXewYMFi5yRoZYIjYUtL8AQvmD GQnP3cJB7gNXg1E2Sl1mzbN2rfKWV5yyUFQDYIGJh5IW4zoIBxO0Y6snM+C7lF3IitzGGQfvqOO9 8tK+mqshIcRsvtxcz36Kn1/PR/jzM3WvGctKoOs33XaLBE1Meb3rroumXtOzBxBAcjyp2rseO4lb tAWNzSl51YKAMZKFsTFRsXKfQJDI9lkBa3hbU3IQnGMRyICWg0cHQX19bjdmIW5p2aanqLLlfOJl 0MJmTr5xPl/Q8IXTFf2tGNCdCTpnl0m6go4HFiOXlu6aC997H49zjHwe9h+6Vdi7Ttzrqk0T8WQB A42ciImtReCuHz7RD2caGiyDqMMphMFzNuD6twvEpUMflKCsGCgC+1WkAeYGrOjYkUIXINcl5Zwi VfXeSZYDP5uDnhRdyikQIHCYdAvKhZssJc1I0V/t853IMEeRs7kqPyjdMAMMfhgu4j2X7+j57f31 +bfveBesjGsws4oDOK7GnX/0Dz7S9VZgmRrHM0+75TnZ88xtYLPkrntb62q85DcBs99AsN5Qw1pU tTg5s/RQJgU5qFY3WMTKWnCXc2mQLuwWSzLXqd0AyCSObVrU8+U8lAmveyhlXEsGiWM2SCUvVCDp z/BoLZzEslzk0rLLmt9NkelqHzssreJ8nPGuqMl0qvZrMvbRfo2DchPkZ9F6Pp8HnOBKXKjLhT0v 7UTmGQ8HQHavAiaW17ZHuo2sOA3HRVg4d8SsTkPJGVLayIsIelsjJuS5cmna9yC0OYkpDKTJt+s1 Wb7XenhbFSzyNs32mt4rW54hAyU9VPOTdaPBnbWj18vSYnv6d5McnXL22IKz0UDtrkXme2INncmD YaLDp3EvBdY2pwzf1jNtPAq5Ajg7yL0zUHWyz9HxHbdGSQeI2SSHyyTbHa3s2jRVgMb0DxPTkehU 3u/9eIYR0usjMQjmssF2uzC3D/XcKXDeQ5s5pZn1+KW1ajrYNdnSNdm1Do0OQdSBwKXijn1LeNeY xCNYqC53NhQclqAz9AcRLazTO8NqOHJPBC367FMZiunvnmo9cIYXpQs6rwac6hFmDJxuD4ThVFiJ ebdikdv1Jc3v0fY0UPiHgC1HsBT7UY3A6u4hYcc7cnuJj23p0mGqNKTJS9Wq6ZmpbnRpnOP9B1mr PSEHxNnhw3x9gZ/uimLnVuHeHS6MaeL0Oynnl9husmdHIclxkOvFzelEo7aWkoK32KJ2PFwAhKka qPUtEsE80sPFnYDKpyXMClNV3vrl/3Qd13a0yA9wcivL087aw/hLeD/7RTm0hWC6tesrN8UW/A4w 4FCKijibX9E7Te7os/pDdmGhtIZ1R0E9ZCGurO4CibpgH1FxbPaL4C0sL6x1lKWna9g8lmEOAVoB dEHaPOY9pytuwOG/cHqenm7CtgfAquMk2k26QnyD5JXra3an1uubOTxL3zzcqY/r9fXIZ5NuufDZ DYzX7fXyAnPQTyqR0Xs3e6gsBP6aX+2cZRgLluYX3pGzun3DcFYYEK1Cq/VyvbjAcDDXUuUUhlAL 1zB6OO0uLF7436rIi8zLKnrh/MrdD5HNSRdf+D/w8/Vyc0Uwc3YKHcW5WNyFrxXM02UgAZvd8wOI RG7VcAxtj2idxHqwuHO+GeiLC5y2zaQv8p3M3ezkCehMsFLJT3kQGDwZywv6TsncBWt+o2WDXMSl yBXWxXT4bHHxsDDePvZD9ylbhnwU71MebPEk8sZoEAM5ae+z375Hh+7MEc/veTE+D3tslV1cAFXk fE+1urq+sM0qgaqwI66t58tNIB8iouqC5v3Ver6iLBLOy3L0kSQnscJENRWJUixD+49jI9Cn68V1 rYRdX9lGYJW2GP64/nQhZ62YNzFO14V1qySwZNerbLO4Is2qzlOuI7dUm5C7nlTzzYUJVZniBO9R Gd/M+YZW/0UpedBFENrbzAMX9hp5fYmVq4LDdnQysdjYWh9RzhDUmbaCX5zefe5ynrJ8yASj8o0Y A6LjaI/ZfPLACSX3F978kBelcgu1REfenNIdLc5az9Yi2dcOvzWQC0+5T2DKDZBWMGm7CuToqy/a ldr79mFadiIFfd3RrgxonGFHlTIy6cJJNfbgnkPws6kSr0aVgwUpE5ZJTd0dW80e5cfcLeliIM3x JrSAe4LlJR3HxODZjbdReWkKU3RxXk+yoo25iFiU9I1ZHEWBxCmyLKklgbJ3W2jINS83JhHFIK9q GMerYBk6UgyNrLcscLHbNdxke+N0W4kfIWzLI5wC1y6aOJHoYx087TQNsBeOd0CB2xYkKTgagsP4 1hBF2WSTBycqSx3N9YKJ65VyBj87704i/wiL8GY8oe85WRaFca01N0xwWq9vN6ttmKBeXy1PQTRM OoZaTOHXt2P8gDW3QGZ4rJTDxvCqL2Fse5fkLAp/TGucCuIjBkvZtErjS1QWFpP4mq/n8+kWrtfT +NVtYDhieRKRf/EkeZnuVbBFbYZoTkf2ECRJMV6knl/N5zxMc6oDnWq1cr9bHRh0uGCjRkedRGtF 8wco6vCY91pnkCLXZf9YuCf5Cd7wgYHoEV7J95OvaGXbCbwWR8N4EEknhwLFnzCyFvOrgKcoXj7B HpM8/PLW+zWIb4+mHTCqRYV/UxyutFKIww+scuyWY0JgJDBFiaP0I3giZTqis7KkD3ONxAMAzcB0 pwrh9kAHJLogndKmdn2wFG16VmliPbxX2zbHYeec0T+PKM5q+rxB5B07ikA4D6JLsWPKz09j4as6 Xc8D2QkGPC2CIx7tOeuA+ol4+BMyICBalgktMR+NVmL9Gq59M6P8UbjauZVFh6ZwNAlgb0YWDLLR zDbQ2ijrYo/AdtciBMoz+vqoCrQyR0soMKaeXrqVVBmZHt5udDCJUkgRSRYc04q50ckOrtfEKaQd KGYj7Dr2NrwO0H98iGwF3EZpsUTk7kVSK8JW7IGPw/+Fznw5Oz5j8sqfxklCf8YMmW/n8+z9z46K EKSOAd8X4w+kJJW5RzvuDHkgh5NXRaTOc3DkcvjZlF4OojYFwbfv78E4dZmXe7tAIf5Exy67DIeG /S9jV9LkNq6k7/MrdJp47/CmRa2smegDBFISXNyahDZfGNVV5XbFq7IdLjvi+d9PZoISQRIJ9qG7 LOSHhVgzgVy2W/S21MhLFleANFSu4VzbGoSJ+nufMpPUgFKBEd37IPqIw/vz99eHL0+teUunu5v8 qF7mb8eH/OIOgmXI8RE9PL31c8XH3h5hdSznktPkvI8vm9xYR7UX5E0a7FTFchmGzub2QK5LqBai 7zfuGv4AbozZvDsYxreMhZkFqxFM1PhdLleh26Dghkzu7xnvRzeIlmK1CNwmHzYoXAQj/Zek4Xzm Nt3oYOYjGFjo6/nS7dOwBUn3SdoCijKYudVSbpgsPmlG+rth0Ec2vuqMVFfp/CROjH5uizpkowOS w6p0K6S0w5HOap0f5J7T070hz3q0PikK5JLZlUpr3boswJ91Uc0cSbVIbM8lbfrmErmS8Qod/haF iwg8nCiQyfUSgYs2NxcDSGMJ5SJRZCByqdSRf270OMGzjNFjthoRI++gmBuItjYaKacKdgva5hIP cLl3fm3av50hUhWXSrhv7wxAFEUSU/UeEEjsS85K2CDkRRRu/XpDx+5iPREZyLE6n8/CV0g7ov6S WhzniOZ2/mC0UuZBmyAU84kJ32YA2HUVSLxOX+jN8lDdG3OTKqJ1wJjpNQBkZXHt8cNjgJtUcFJB c2TOz9N6c9DcTtY0s0pBKNyUomd82uUuZFXcl8NTOU1h+/c2AsRxcjSqY7eAcjujgT3JGqQPeNYf GKe2DRt0isuUixNtMJdY9GXIHkKmwdRXy4H++JohtyGnaXudB+dk7p0IKgUpXroDLl+bKeZT5nq6 KSOKYYVGKOKCkMXYdxpoVB5nq9USXzv6EbudyLUXWaZq4XaQtn/4/kT+b9Vv+aTvEgif5i3l26G7 0B6CftYqnC46ChkmGf7Pak0aBAiWsIu6ZH8iJ2pjjrNetkF4ug61uUE5F1XdK7wHbJSF/SCgpr0g Qv1iSjlWUbHhAAdCOEk7kcbD/mtU112j2HpHc0g7RlT4/PD94REj97WuLZva8E7mNqxHSxySxrYA j+asSuh2r7KRV4ArDeZ9HFs8xP7kRLfJ9UYZy48b+ZCp811YF/pi1WrMEdnExhnqbLnqjoRIbG8N buE0/5hz6i31rmL8c6Izkrri9rQC1k1ciKKs90dguJCX4ERjdKKrnY9lCUW2RltKdHLdfjUIaz0P wJBy3/OLaxwTPH9/eXgd2n02PUNejWVHMccQwtly6kyEmoCRk7DZR2TeaiZGv8cJucUbG9etoQ0a TA2b2IncYBPisyi5aqXTpYEFyMr6IEpd/b5wUUuYRSqNbxBnHfFZx1nEBIaygaIqYuipI5Y20qxt lXCfFPFb363ZehaGzMO+geVbp0WxcbD79cu/sBhIoflCtjYOm7ymKPyaRGmXxlaD6Jp2WYnWgPdL RaOyjwqkEL5YfF2y/PWYxA9V2rlZNqmV2irG2uqKkDJj7vRviGClqjXnp8yAmhPlgxa7/igz0DFY c5jBWTZaYMkouRhyWfAnFJBhxtVJMVYHoVSGtvpjUImaISCs1ZHawVAlfc8qV1c73U1pUAyaWbtj ruyPV9/41vkCaR1P6pjgmGWYnCcR/HXGmyJyIZJuOaUWVb+QQ7RxTVEgWZeHjUnctR3tpeImrTeV Fe+miZECddfAjMcdX6GqSBVwYVmUOB+94QgtUVeuM/1viTVuY8BnuN2ltzC0fXobJjd6e86Szcd5 Sy1wLO2gxhbJfLGlanI0Hs7bFwiQlHGpD/apxmXCo4OlaSfRJZN0JcdwyeiHCMOwLTguvgUsGDUq Wc44KaK4atc4Zz7b/mtXAJc7mODoQY3S42PV5W9gauzkPpb3ZqzdfIqE/wrXFIDy+lEAYOdJLlzY hiEjaYkezZQrDxgLqnALUB0Q+uU0oTuGF8wz6biwn1kKo/Cjpvsy2JfybjK+iQrdS9sDtBvCAJPT g/OeDSgm4ghxXt2SRLLLN21cKmzpjStHd8s9x82FnFQppn9Gl8r+GDimeBUs5+5r5Bt9xThdv9IZ hz5ET6P10hW4vCGi1WO/l0DQc1/cEpHzMoNE9J7CiONAzUifmbmgQDopQNc7ZjIhpFLVcnnHdxfQ V3NGVDfkuxWzjoHM+Z9paEU5jM6TPjyODrjdQebiRNrT6f3X+4/nt8mfGCPF5Jn84w0Ke/01eX77 8/np6flp8luD+hewbY+fX779sz+PorhSu4zi83i9yPSxjNY6LRYm3hfS8sGVvP2Rom9PQKlyxMGN GaB0EAzKIjOBsuL/wB71BRgMwPxmRuPh6eHbD37ZRSrHS9MDc9VpvoLuNYAT2u2ZSyhAlfkm19vD x491XjFB+xCmRV7VIMPxAJVd+jeq1Oj8x2f4jPbDrGnSnVoNK9PeD3A7Va/HuVh0REwEw1GbeYSO bfiIFTcI7qEjEO4Isk8GK9+c4YILxl1dwUj7eydnWHQjjcLPofKE2e2LavL4+mJCCDhizkFG4EzQ 7OSeP68tFIn/Y6Bd4YgShi35C71APfz4+n14KukC2vn18d/DUxZIdbAMQ3TUI++v+1KjG2C0CCf4 HJ3FGp2Hkc4yfkulRVqgRyFLSeDh6ekFVQdgJVJt7/9j+2EYNsL6PJVJXbrfUvB7uZiXJ/dBRdts LY6MtzKiYmgl97o29OoAPKnrjmZgFUgJ19WwV8M3/cz4+HTsRbeYJtF6ETCeYm2I+wm4haTBlHl0 7WLcJ2gX436T7mLc1/cdzHy0PXczju2+YTTrdq2LGasLMCtOQrYwYxFoCDPSh9V8rJRKrldjo0W3 SX6IPhf+QqJqNRKZByPjjLRELe+BX3Svwitmu17O10vGB3uD2SXLIGRuWC3MbDqGWa+mjPvRFuEf 6r3ar4K5y6zg9tGb9Cq7/hrm/yAX/gogbxnMRvqePORxhrdXjJazu4V/whHmbqQuLRfB0j/QiJkx njI7mJn/4wkz3ubFjFG36WL8bQaBOVhNV/7KCBT4dyzCrPy7LGLu1mOQ1diCIsx8tDmr1cgkI8xI VC3CjLd5HqxHJlAqi/nYCaPlauk/ypKUkWhbwHoUMDKz0rX/cwHgH+YkZTyhWoCxRjL6YRZgrJFj CzpljAItwFgj75az+dh4AWYxsm0Qxv+9mQZBZw8CsOJ9cF+hUq/Dqf/bEHPXDyrWxxRkTuPfplGN 4I7hJNOBZNLLXe31yIIAxJyJE9Ai5EgZnouPKyZOZbBgAvRZmFkwjlmdZlzggGuD0kou1mkwMv8q rav1yIlTpelqZO8WkQxmYRSOMsDVOpyNYODrwjFmJxMzRjXFhozMK4DMZ6ObJRcg4grYp3Jkd9dp EYwsFYL4R50g/q4DCBd/0oaMfPJRiVW48vNuRx3ORgSHUzhfr+dMeAwLE3JRYiwMG0nGxsz+Bsbf xQTxT3SAJOtwqf17jkGtGLNP2mIZxcST0HIfuV9c0Ugmryq16T3Wdm+lmtSNTIUTjoSBBJz+fP3x 8unnl0e8HvCYZabbqBZSh8DsMsqKCADRipH0rmSGNy1SJY2eOcOUU35SDcTXT8lEam1R+0QyHtkR Q6qdU2aXIEB0t1wH6cmtyE/VnIvZ9MzrZG5RXzvi/C/T90bibjrn24Dk5cxbA0Hc8/ZKZkStG9m9 MBoyp2BJ5CTji4YDD11+eBu/V8BBB9QVTgwcvXhjraS7iUkha8U8eSCNew7Bqj+I7GMt05xzuISY +zgtmJAASA5DCuIzQufHhugrJliumT3nYLFkmOUGsF5zFwgtwDOEBhC675NaALN53gDhwgsI76be jwjvmFuvG50RkFq6+3QkugZRzpM9zrazYMMEhUbEURUYSIhTWENIGWv3wxgSgYddwirje6iM5JyL 3EF0vZz6ssulXjLyDtHvQ4Z5IGq21CuGd0N6FUuP6y4EqMV6dR7BpEuGOSHq/SWEic7vJcjQOoli c15Oh3GIu5mB7/FQL5XkvBwAWWOssPl8ea51JYXnPEmK+Z1nESRFuGaMrJpqktQzg0SSMgEYdVGt gumS8RUKxOWUCXtC9RLAs/wNgJF0b4BZwK8v/DT4eM8p1yCWjJxh1eLpQASEzPvxDXAX+A9TAMGG zjC3+pSABOeZbABAt1D+2XhKgtl67sck6XzpWe9azpchE5uO6H+kZ8+QHs+hh2FIcrnPxI5RlCe2 p1Qf80x4O/KUhgvPyQjkeeBnDRCynI5B7u4Y4xzc2PJ9ClzcOuAsv20QsFmeLVAjh+LZv3S67VVx De3s463bQsp4d0j65ict1bcBo1U0vYe54tTvvj98+/zy6HwAFTuXyf9xh3G6LN8tTQLpPe2KA8WW vJURMeoCkF5HRS276gJUu4Astp5Y01F2ssHJYvIP8fPp5etEfi2uQcv/icH6Pr389fP7A/Zop4S/ lYFybL8/vD1P/vz56dPz98Z01nqw324wHBFe/be9AGlZrtX2YidZ/1ZlSjobMBpRJ1cUyc5vCf9t VZKUnWA8DUHmxQVKEQOCSsUu3iSqmwWOrrastx7hVlaf0JZl+6LcoEPDWO2yOs5gRrlsuq41YgR2 u9BUIBttx5aAxI2Q96Sd0UlFXKPO1YVrlVCbtLE8GI7S56u2hEMwxU5SZcncBW4xTIibtcCMl01c zqZOB1ZAzre2+AwJIIwk0D3ux2kaqUqzRFhLjDUxVuU1psXOD6KAdaKIE5RUtDhqqZiAktjotdOZ IY2tLm3PsbekOoWJF2fGC/qQiPaFfxxiF23nSkR9wjdHOeJou6nFzwCB2raQuCV1VRLbZHsidvrD kHnHGzjY+hIwx4KhskPlPryRIo7cgyJSmRhuOLpxDguXkZOBfn8p3YIs0OZR/3iy5mSeR3nuPtuQ rMMVY7iOy7ZUUcwvBlG6zXFoSbKFSjgLOH922EcgCxz47zlELieFOMk3ab0768XSdlWNLanmnRkG v2/BlCv1Ma7T3++6XaJKfWCu8HDqXl3jsoANdCm/jCuVFkzAF/r6ddDbzJrzz3mo0Ta5eXj89+vL X59/TP57ksiI9cIBtFomoqpaL3jtdQrQXBqCDfm2yvoFDOiO+HYtsQCObhEAj8zoVbRIERVhyLxO 91CMqkeLAnabe+y1QMflbLpO3BYqLWwTgTTmFoasZpXyLLPMOYwjg3UNWPz+9RXOwpf3b68P10CC LiYPuTdprB4co0YxnYZGX51k+Jsc0qz6PZy66WV+QkX42woqRQp76nYbly67Dwe5NqEJ0UdQKkpm T3VkK3NNtpB/OwOs6rgsYxCQxH2M/m2cAzDSubfFku/yzj6CCWiKVlrsG6UBJ4meG2FPcBKIKXBS ZHLQMwrCfGvcgKG/PRDkh8yyHKGfNcaO6tl+ddJrNB5MhLLO8KpTShYZW4ZuUiHTbkIV/3Fd8Z10 qAdDTHRKB8bhDGMCpEGhbCLsPIedso1er0TTOvtBBAj7klfoRHp0yQRevsMpk5dO+0T8JiNSkZGS KFSv6jKX9bbXnmu0cSRuq36jWqrKNBO0A9vGxK+kIlJRadsWpen7Q0wRNoZD0oRsc6GHfY05UuAg axP3sENzuHyjZKyA/RSR5Ey4Z/oYEJkU46GVpokuBBNpmxprTB+D1ZJ7gMUyikPvTbQzfVT/e0QU hCHztEwfVLFmSkTnA1i3ZJKBGPU5BB3CkNOmbMiczlpDZkwsiHxiXqKBttEhc0+IVCmmwZRROkVy qjhrBdoHzpdd7N6nKXe1mIXMg7Ihr7jXfCTr85avOhJlIjw9tiN1ApaciIs3uyme0RK4Fs+TTfE8 HQ4N5i2eNlKeFst9zr2/AxlN/Bm1/5bMRSK5AaIPoyXww3YtgkfEWRWwero3Oj9vtilnK0WHRFTx SxWJ/BqFcy5Ye0aN3CaGZ77lVwBfxX1e7oJZn9O3Z06e8KOfnFeL1YK5SWjOYNZ4GMhZOlvyi72Q 5z1/uJYKY7EzKrNIT2MmFnxDveNrJirzTGROBeYBwBw4ImS1glr6yP5Mwl9e8UvjeGaVb4F6Sbe9 jdJ4hIn+RTeXHfMDmofCTBYnp3rL9V+9LAV6vExySfLr76tF59grZI+XuZq9vblSyeoSzv9+Jlto bhJaqVnD5DIhmX/HqzUbJ3LRzQgJ9VZsQCTE3TA/6CE5zy7nYSragg8T8zxT8TCd+F50FMZSajXr UQ/Vps8goDNYcWBjNDWIgwg8G4/xN3ue8YyT8aarxB9exKofOnSA2KstF6ebTnwZ9S8+B0UUOaNY 1dL3foTOM4cPnR7oKICdc5n/Nny+7MY8MOuswLgmfLlFRCMl3YZ/tF3kw+eJvYqGFyN71XFsCT9B mNfAil9grpdxtmNcGwOQc5R02DujpGPR7Q2JcRrz7fkRHTRghoFxIeLFoh/nlVKlPPD+0wyidJpc Ew294w2KxETl3vqJzrlwJuKhdMcPod6Mk3uVDfo41nlRb90DSAC128RZD2HR5R7kfevJxqQp+HXp 1wXicCU83ybzA/cmimTYKWHHdS9ppINMGCl08cZXQC95PBl6T4MQVleb6dJ5W0+om1/HTmaYhbs8 K1Xl3gwQEqeVr6djLoy2IcacNp4hO51TIOUjdEm/sbs43ShG1YboW+bREYn7POl5Oerm1atwzo8i tMa/ZO4vfA8eJEW9YuknkWhGHkbyUcWnigmtRU2/lHTb1e8ujBHhutsjmh6s4Q9w1PKzTJ9Utnc+ /pnuySoFm92wEYkkfoEtl7vPNbQsP3IzBLvUtbtd0/FHwQS5vUKYaY308pBukrgQ0cyH2t0tpj76 aR/HiXf50MsN+ej0QBJ8N/DQL9tEVC4v9EguY7PIu5udCRaRb3UvOUfv7cOlR8EF/Csg01xQHaSV yi1zIhXDp7v8j9H2KDJUjE7yro9qK9nXu0Wcpehujis81iK5dMMPUTo6RZL8xCzQ022JS5LftenO 2i1TmFGBAhhhiOi5lMLNwiAZTiS+zxyx2ygZDje+QLRYZT1/EkLHgt9egQoznXwJca06ZBjApd+q krPxx50NfciKynP4VSkIFB/yC5bM713q6GbLiZgXFWesS/Q9bGz8d+s9eskx16/8AYDMHgpCPGK2 /Rgzz7TmiPCdoyelWNewSD8rWAYsFSv29h/GL5C+HcgYONR7xicFMXlJPxjX1cmYg4k1LvWrjZvn NgLMgO8unGxzA756FWoq7ZfdOgnqVHgrn3wNqcj5AYNsNyHcrsBqTr6XChnURp+GQnxZPjWvCNR5 SeIG1KXHoyU0bxTdRAx92T2hSeJMCsW4cSOhFv3M7kVV72XUKa5bdu/OnHJmGey9MkaH8c0j0DCc Rfry/vj8+vrw5fnrz3calyaORXe8rxcIqB6kKt2vin+36cBy7T6EGlp92it0TV65zgsj4OscJBk4 VaLrJYZNxs59syYvuhaSrWuhaKifRKOyWp+nU+xetm1nHO8eoD8dzPB0slF6mecaV2atua8imNY4 TBXIRZFjrjlGl9K3lVvZwW4VuVjN3Wd0F+dzM0RDdD7Mgum+8PaVqoogWJ29mC0MNpTk6dKc6dK8 +1EgiPKt7UGd7+xd4LCX87/dOQfHHOkAqgQDtvkQZShWq+Xd2gvCxui40nQbOljOOO+biCPy9eH9 3aWURytJ8l9C76DMaYr0U8Tn1enw4iaDo/F/J9QFOi9Rx+rp+Rvs0e+Tr18mlazU5M+fPyab5J4c WlbR5O3h19UFz8Pr+9fJn8+TL8/PT89P/zdBnzl2Sfvn12+TT1+/T96+fn+evHz59LW7bzU4W6HS SvbomNmoJkrRKC4SWmyF+wy2cVtgqzh2wsapCq8BR2Hwb4ZTtVFVFJWMcW4fxuig27APh7So9vl4 tSIRh8jNP9qwPPNEfLCB96JMx4trbltqGBA5Ph5xBp24Wc08YcwOYnh04lpTbw9/YfAnh39NOpEi yZmhERmFQM/MUgWvXk5HV5QxPC2VTttFxLi+pWP7xJjvNUQ+bBs6bEL//d5jYN3VArt1GnlNZjam YXSQW7Yuq8Lkj1PFGFU2VMZBE22K0UEf3CKjadqxYiLB0u6t8qVnrJN4l2v2KoYQnl3/OqHlZS0Z q1ADIytmflQi/qqDDmaNWibuGMrUQ3jPHMHYIu/V31MVsGab446fE4zBJp0bpQBO1RXqo9v+/CRK 6GgegUejh9WpYm1Oz60664NnaakK9QG3zBMBAC6Qm58r8UfqzjM/FZElhL+zZXDmd6h9BUw1/GO+ ZNwQ2KDFivHqQX2Pnn5h1OLS30VyL/KqF6DptgKLz7/eXx5BWEwefrm9RGZ5YThmGSu3jtB1c5j3 H+Is0ZCpp1vITkQ75pFJX4r/r+y6mttGlvVfUflpT9UGK5p68AMiCQtJCCKpF5Qsc2XWWqKLouqs z6+/3TMYYEI3qPvgwO4Pk0PPTAfGHaaYqCL4wjJpOBtkzuA0ypzYPKracMISQfG0gAthLTVu9Xky UjvnytAE+RWOvxznPEaAQA/G5iWJaHW8vSV6QaTg5ecfzy6v6eko8wiyq3NGi34EXE4AhDkcveaN fHoOKD7nqGngX5/R00wAysC7ns4BjT/padHzLy8Zzxsjn7FxV3xmw+n5M86+VvE5ZemxgowN6QC4 Ykw4ZSeGZ5xLIMHHUHqXjGK0BKTB5fUpo58xdPMl7atH8JP6/DROz08Zy0gdY+mBWKNciPpff2xf /vnt9D9iqajm/kn/hvH28g0QxH3WyW/jReJ/nHni49JIac7L5h2csJtfZemKCwsv+Bi7ZqJJhVFx fyFE1rfZb5+eqGmNN/nziLlk8YIgQt8iSZowJjAJ/J0nvpdTJ+8oRLWSpsCrnDqoWu2OSbCcWy2k Wpg+0ky9rk1NW8HkdGgF03WALMhBlNKXHLK06IybMQseAYzfE5l+GVg+Dnpu1QQYZWmsHxLkkm6Q FkFT1GuaqJSvP+wPjx8/6ABgNsUiML/qidZXQ3kRwjUh8vI+3I0YNBUGfdajoWpAOODHQxfZdNSS JsiWY3id3rUJnKKylu4nUerqzpE7hktfLCmxi6nvPN+/vI+Yg84Iiop7+ng7Qlazj5RahQKENUgl n+xKjhwYijkIjUzgdA3KOKfSIFef6BVZQRbrbMY5sFcYdE94zZw4FKaqL4PzI3kldXp6xrihMDGM +pwFog9YCrQCCH2/oBDCsRyz5xoYzj+OATp/D+g9GMaNx9AbF6cN4/pQQfzb8zP6rK8QNYhL14yD VoWJs/NTRuYaeh0GOqOqrkEuGc1uPRXG+YuCRBnImLToMKRyB5DpwVXdzWbM+WZomBDm38xZPdBz ubl66KsTxmpAZTJhIzLg0S33O1adsD4/YwRLbVicnb6n+tfmTYp0Lv7j4QDSzPOxcgRZwUQxHFeT M8anhAa5ZLZAHXI53Qe4bM0uu9jLEkafSkN+YsT6EXJ2wRxXhz5vbk4/Nd702MkuZs2R2iOEiRWi Q5jYzQOkzq7OjlTKv73gRO1hPJSXAXMeUBAcMZQameIPIQss+v06v81cN+q7lz8w0MyRYdarNk4W DPWZckZtdVidGvjfscWHe4kfej5nfNAPrfjJuj4YNETrzcsrnBGY2obo9e2OfAgFlt/G2uvn8BEG SkJvDlbF+/sK6ztNFm9X/U0ZdZmWFMb9GYbAYgJhIK/suyipaM1jxIQg+x3DeNy1iIxIGhTcdbKM Rzo5ShCTRw1zJ4YJVK0d7knjZvEVY7hxF5MxtKCenb8u8S4l83JvblobojWAMo4jPpaRuZwwZFmU t5qDFUnEZ0EbiI0hTzoO3EcFf/ESbRQGQ8GygXlV9hkRoyLbPu53r7u/DyeLXz83+z/uTp7eNq8H Q01C+bQ5Ah0znFeRG79KjffGmyeMk8zFErbQHGNeOOUMRJCKeve2N5xUqt6anV2ed32wjJ4WpDd+ GkqWrh1CpjSWIfOS1C8oQT6B83Rr2oRK0nhwlc53MOTH9vFEME/Kh6fNQQTuqN0mPQbVTtYiJ3E8 i5kIxT2iV6WAkdssqqKdU5qDRSzhmnGHiJLaBNHAkMe8zfPusPm53z2Sy7uIWY0nOnLxIj6Wif58 fn0i0yuzek7EtRtTNL7UBhUacywTIuYy6vr/VstoTsXLSYBxmk5e8Rbnb2j3UWlD+h56/rF7AnK9 M9d35WmIYMvvIMHNN/YzlyvdM+x3D98ed8/cdyRfvnmvyr/i/Wbz+vgAg+V2t09uuUSOQQV2+2e2 4hJweIJ5+/bwA4rGlp3k6/2F0ZWczlptf2xf/nXS7D/qA3Le2YHB+yypjwc1tHeNgjGrMsOLh7iK 6M0uWjUB5zsQpgRzhk8Y86G8oZ9o7rLIDcGkCrh0wzLi1oxxyIiofdUtPqkawR1TEDroaeuko1Wh 9IIbtlAieg96XWiqIk2JkILlYg1L21cZNm0sXr/vYxgjy2lxd4MO5/AhC5l0SyzWSnTsQloj3IRM pINBVpNsNctu7bBfBgw9GaTwd5lMJ1euvO5slmfiDe04CqtJdojZbNrXeHsceHSls8CNW1Zu9ngo fHiBne9597I97PbURj8FG44LIiKrXP1evu1322+Gj7k8rApGo1LBR3Sa+PldmGRkeEzP0N/G68CQ tBhTt5P6z+ESUgrwy5PD/uERFSqooMoNEwgOzTA729BLKYG6SY5fxiXzWh3XjN06azedJmzIA6FN Bf/Po4CW/kREdsbnSa/MFepLe7yFjUKONWP5vfPSJPSaCIqPcfhqMhgu8EB+8LTA87BWnhkuM3pC t/KapnLJZVEnq84LUpdVR0FbJY2xSADvvIspIRw4F3bGF3wOFxM5XLD34l/88EwH428WDBlkfuAF C80xSxUl0JLAiY2n3IEsAssyq20PEU5JMAQrdaofk7cbXGcRTaKztWZR9VQl1n4TiXxh2hTpvHac +Ap9/OCDONW1K5m7HjIXKLdt0XgMWi+b8RFjoIqsIkdfkPKpigUtvYoWBFaTVQQh/owetn5TWW2r KHQlBq4MQYzLwbzi3ucGcNXmXe3lgBMPJ/TSItF8JSQfDhoR04pjdlGMjnCSmLqtyJNUtobhmPJM fEnPIrkpjL/JGY1HMuuRsKd1Pp4Uu6Ikk0/SSJwkpUfK4VSYh6g7tLb52qLegYBRrUveNVUt2qCh 2iCubTejoU1IJEG8/RoZe5JB5snNCdR1j+sLY5xJmkGKITOrYwJOw6u/ZSD7DJ1upd7aSmqkohlb gu5MuzChthUK6aVLT7glTdNiqTeIBk7ykFGj0kAraFlR+WPALGo8dK/qXk48PH431TPjWqzz5Kbb oyU8/KMqsr/Cu1Dsu+O2qzq9Lq6vrj5aq92XIk0Y5aR7+ILsgjaMVfOrctB5y/vKov4r9pq/8oYu F/CMvTWr4QuDctdDnvVP1O1EUIRRiZrTF+efKH5SYLBwOE18/rB93c1ml9d/nH7Qh/wIbZuYvsPP G2cFGeUeunpSSH7dvH3bnfxNVdvx/yUIN6avNUG7y3riKK2P5P4FHv1oUb6YBRL90zeplSq2GRqi JLAUOWnDES8Nq4jSrryJqtxwW2Y+zjdZ6fykFlXJsOSIRTuPmtTXE+hJorjaGInQZ7YwaNeogwXS PJl7eZME6itNgMV/+M4kOmzIMqnl5TqqPkSZMYmKCrXeiGRVwcIJXszzIrEJ0Ovgwlpf4Tfa5lnr oj9RKn8iY27HDCov03OVv+UuKPUu1LC4bb16oUMVRW57SnYdDyYGWy7MRAEGWIiWCWWH1uQpnVCP EBbJ9FmIQqLlWGCGqLfh1qgd6PdSCcdNP72/mEovvS+I1Fb3ZFr3dcN4S1GIC2GfgmYq6LtnGhtl fhSGEaVjNXZI5c0zjEwt+kw6BDrXNusVP46yJIeJzzCLjP9wUfK823x1Mcm94rnVVKYl2lkwDbau 77jP2ol5VBXcTFIBt80lRTFjcwfE33dn1u9z+7e5wgrahT6GkFIvmUseCe8oV4fCMjA35QaEo0TX a9GFOVnHHoR7RpQiyCie5iYUf0ENnRqEdjVDqp6hW9FQrknSHxRX4bBDq65jGAwVhr3k4tQJrPJg B4Z1Iyk0m0ixJFo/ZTm11oGauMqKyBhMcNUAbPPKcLslfndz01NLT+XPWUFULpiVPbGE86Q/Otdn DLrD98MlCMbiWB6Nz4xmGsvIu+nKJW7MtBq5QLUler/hcrJWXEETQoVFExV3SiCotLbDyBcSVMf6 15FAsqCadBF6/DbPrQOpPinSWkmjnz+8Hf6efdA5StTtQNQ1hrvO+3RO6/mYICa8rgGaMWZmFohu WAv0ruzeUXBOBd0C0XorFug9BWf07SwQrQ5ggd7TBFe0gpAFovV/DND1+TtSun5PB18zumUm6OId ZZox2qYIgqMmHs065vylJ3PKmT/aKGorQ4xXB0lizjmV/ak9rRSDbwOF4AeKQhyvPT9EFILvVYXg J5FC8F01NMPxypwerw0TZB4hN0Uy62izg4FNhzJDNvqUBEGOcSemEEEE0jz9VjZC8iZqGW8qA6gq vCY5ltm6StL0SHZzLzoKqSLGylYh4LCfWkYRLiZvE0ag0ZvvWKWatrpJSHdRiMDbEsMLQZ4EjqMi FVhCfwiSyhSbx7f99vDL9eKBW/A4O/EXCkOlZ/jyEOQKPZHX/bmEluilFxA8vMAXFZwVmaNwnyQt xMu72CjkIcDowgXG35Ee1rjwvvL5AjXgavHG3VQJ89SmsJNM+mLAu4vgryqM8igUV7x40SiEtcCz LnscGH3bDNIpXhfXRVtxzkDxjSUQyaC7BxmfiSjc4N91aArdLiets88fUKfq2+6/L7//enh++P3H 7uHbz+3L768Pf28gne2339FU5AmHzgc5km42+5fNDxHdafOCz6fjiJJqaZvn3f7XyfZle9g+/Nj+ T0X96vOEE6pwNxvcdHmRGzcJ8yDowwagj842aFIUZVmDKRrur6uI1pecwHeciClKW+SyN4fWZF4J FBjdOLBYpZFHt5Ji84086MXYE3p4MysqeRbT3weEqqq41rRoWZQF5dqmQho2qby1KZWXhFcwq4Li Tr+ggqlbqHf7YP/r52F38og+OHb7k++bHz83+3EsSDA07txQzTPIZy498kI7Q0F0oX56EyTlQo+0 YHPcj/DgRBJdaJXPnZSBRgKHg4ZTdLYkN2VJVB9XZ5c8qrqSdOOpu2fZM4v8sAuT2vPTSD42OsnP 49OzGQYMsWuVtylNpEpSin/pQ55EiH+oazPVKm2zgI3DyRFL7RCjfI6hAnuXUOXb1x/bxz/+2fw6 eRTj9QkjtvzS34RUL9a0VkjPDpnzdp9pcIxfhbUb6t17O3zfvBy2jw+HzbeT6EUUESNT/nd7+H7i vb7uHreCFT4cHpypFehxX1SXCZrTwAvY1b2zj2WRrk/PGUusYbLNk9oKs2Yi6ug2cVYFDHHgwSJ5 p1reF/q8z7tvuhmiKo8fUKWMfT7ToKmoTxr6Yr0vkU98kla0e4eeXUwVoqQLvmIe6tVMj9bLirkp VI2OHuWaltK0UpWp67FtFw+v37mmNVzHqwUu8wJiZq6gOlOluoPPnDEbbp82rwc33yo41yP+GeTu rszqlhyZyJ8qw2pl33U5CTSnH8MkphOXvD5/PpW52BfcFKgJY62k4YXT3Fl4SdGEr3+HnsC8EWqL 1MiqspCLeKghmHucEcGFjxgR56TxkZrwC+/UKTgSyRqliY9MyNMZDTz58vSMqD4w6NOz4jNRCxW7 AWHNLyidL7WDzKvT6zOnCstSlkduE9uf3w2rBq2eXlQT0kpNVAWolmq1xc9bP3ETE5lUwQWVIpD5 9EBKXMaJGNQ0Q92KE9PGyyI4f1P6KQMCT4r893UzMWOQfUVWNCRaMyRbM3ZkCmvJXXj3hCBZe2kN 2+DEDjk5nCLybW/gVqUM1OWO0ol+avSQwIq2LMiu6+ljy/fRB59/7jevr8ZJbGi9OMVnfae17wui oDPG0nH4iL6nGtmLye3Efm2VRicPL992zyf52/PXzV4a3oyhpO0pUiddUFb5xIQOK38uDbqcgYQc ZiOUPPZNRQOBGDKduZPvlwQjU0SofF+uiUZHQR2tl47mPwDr/kzxLnDF2HTZODxj8TVbLJ1FG1W+ 8xVDVvc8xHQWbDzm9JERJvldKb1bH8f1HluIvgWk18CKBvLg5PAcgbhNfbyYPg5g/okIihzk+eXl itJ917B3Gd1UQNfaisolWERpTdpC6skoy0YqhdqLo1VgBy0icgpgu6Qf3Op1hnF0k0DczqGnLWci B5v9Ac124LzyKjz2vG6fXh4Ob/vNyeP3zeM/25cn074Wn+lhNxJRWOvhTpG8UHlP2qpV/CT3qrX0 Zxqru4p0+3X/sP91st+9HbYvhmMUcdGhX4AoSudDx8CCUd0YKl2eUDElusOH4RCh5ammRaVMaEAS yYNy3cVVkSlNUQKSRjnDzSNUqUtS44U6KKowoQJUDJY7QWLr/SuWRRbqXqheEGTlKljIJ/YqivVB G8AIgcVMn9PB6ZWJGGRxjZY0bWd+dW7dEwAB9s80tp3FmIA0CSJ/PSM+lRxudxIQr1p6jLN2ifCZ W37gMm+SgSWA6YxPRDVAxBlOSTqWOmrLY48OrLw8LLLphoINvNe/MhdXVKZCU4TUUPG7lzKXRQXR YFyen3UqlTJs+nSOsNcTyQiyhh8Yq3skj9/L391qduXQxFJfutjEu7pwiF6VUbRm0Wa+w6hLr3LT 9YMvhnWCpDI9MNatm98n2gTTGD4wzkhOep95JEPor1H4gqFfuDNef7RQSxYekLQKe1XlraXqnrY0 1HURJDLakQBoCqWesCvSDbwkSYTqNRYYpId67XKQprtaeGfAmDPzZmHxkAFJiOcQWzEVeV4YVl3T XV3AzNVaATghRlGuMFT2QkhehFZrXFSo6AvgNh/epDSNoGVSNKmhgCiyRNNCLiLwPJVNPKYiTb/l +422TJYtnLj1tglvNRWseVoY+eLvqTmfp6Y+D3pIKItUSzFMMsOjGfyIQ61RChEZZQ6bsB6cKy7y RlOn0h6wcvLSTeBn/86sFGb/6ltEjdaRRUp0SIl2gcZLwcBqpYO7Lk7bemHZaTmgLEBxR8sRRods bO19DQUNsk0HicMRGMznMSXOCOrP/fbl8I9wMfTtefP65D7DyiDTIjq2IUtIMupA0Zf1faD0tJin IFmkwyvDJxZx2yZR83mIMJlBk6AGh5PChTaw+zAOhKJb3xhsBYfz5/bH5o/D9rkXx14F9FHS95R3 FaklxhjHRbl4k8havGRA6yltSGEYeWHc9Rkk9JnZpyUsVWhbmnFm0F4oEgYUuXJjkUzFzAV8AgId quU1tEZdUUKnJvcRQNIkt2yPZJJ1FOAzNiq9Z57lflaV3oKIGqKh29pNTq5cUhEQzm6WevUoMr+3 V4ahgjGxUCyvbsf21ojDo6fsns8f/z2lUNKVt74rYaGl0qpNRTMAJaH3b6bh5uvb05N1VhBKSNGq wXhnzPOsTBCBYg2mFRiEz/llzpycBbssEoz6xhyax1w67iFaQgr/SxQwrwJ12voKxgThRoRQF+VU EvpWhTUT37ndQaI47DiXj/Rtbdl0SOYdNT+GlbbHYOBd0yWVwWBzlp4YxHu6+3E/onHfP1J3UQE0 AoulmZlbO5cZBKICN17t5VpYz54ryeLTz6fOY/44MJ0GucFHcjsTSAvI6OIc1ZkNkR/xE2OnXljO nOSzC+Z/ku4e/3n7KWfy4uHlSdtj8MDWlpBGAyNPF/Iw3pzLHNV1iqIBudfLdGDp0ZEPeTDaobew KoxdVYXvylUDHs/VBg+5am2ImXWLFnb4xqtp/a/lLaywsM6GBb3hcY2tLxaYOyzZBW2uavDtthEB fwb9aoOIW6IhqyDVWQpMdj+ZMT4Sb5YuxxZKIDdRVFoLnLwjwffaYZif/Pb6c/uCb7ivv588vx02 /27gP5vD459//vkfc9TJtOdCpnLlxbKCiagsc8miiTSwjhMFx+NE20QrJoh6P3MIL1Xm2iOTcNed 5VLyYOktlqXHxA/ui7KsI0bEkABRH34bkiDlcDmF3jiSFjasuPftBVY6b5ErzDIMcMB7+x8rOin9 /j+GwjB+cRCK5U5vXiHIQFvAMQufT2CwynuMiSrfyM2T7UT4Ayu7X9TEzmWHEbO3lyP8emrbF+bc CeeEW2KCCuqYNyABub4Gq6ClxRtg4MYX872GCK5rNQjunEJQFfMcY7efnep8p3eQGN2SvgSUZy+j 0M60ue3F0YoQRM1OE8MTZDi8aWYu2qD0C1joU7mBN5FyWUSiVW90UVUVFaybX6QMTZ1M21yK1xbU ONVK+2YqlXGGQZnyYG1FDR7KU8r21U1wUVwZcp/mziuvXNAYdUCLVf8ZCUgJIxPuZITCXhVaEDRZ FoMCkSDg5rqql0AE/YcylZEpi4M+pzsrb5lrYLr2E8dqv41jvQpw7ISCId7w3IB9i8NBhuRwKq4l 1ZtGobGdmb+RnrrlshPqga5hmN2abD9xXaTtcFGUwTkQTj+isoxDoOoWZKa4/546BIq93E1+sYSB R3w2jl3ZGX03U9JI34917on4XXrqFmuQwG3bRiWKYcieBW7qwrTY1vJVdIxCiVM47D9gtu0BDqNz EiglHLbpVBi5pLDH6Q1k4Ud9v4zklib7ZezQ1Oyz6XQKzlwde0kNo77SdF9iCfoy4/mlSshg4syk d0ZE48GeUfL7ygIf3iZjS4xrxvgcRm9R2oR9P/JoCbW5JWJ/8khZ5QhEbXFrbLvuVZlDg8HeKJLB cvS+X8c1/iZkHI6JAFLipbIuGL86AsJyZbfWun8feggoOUrIaBNCgbi9n+CLC/YiLTJc1DiU8FOG jTadmDTk5/lSnL26YORKhdJ0y/mOxFZcRCvbC4fVzPISV16uM2O3x9UBY4shADeAaBgHbwIgX5J5 vrxgnuSDoMKEQROItrV98ulc+SrD89U9B4+o8C2xwVu7iQbntE8EN2GiOcpJcTMxY+4y/iQkK48a KKy5jGzBcqr5UYNggZfgsAPQ+2MCJ2PohSPrUh8hrsrgzDLRUNIBzER9xDo1NSCFdQ9r/iQHZVZM jAi06wCRYHJ2CDUF5klbJcICgMcvT+LeUoQ9RQWEquU9a9VeVqZ0aHpPPCaCJHEzD43nLvw9dfvY +uKWDtdQvHb3UuMKUnCJz+VXXprM84x+EITBgy9QSW+JbzwGCsuyHqHnlhQmj1450YdAb2axFCcQ 6roIQJKpCxi460rJJ4zKZvH5Snu1WQiRnr8ZwhQxOI8Qwri7ZLQx7Eq8CdMfxMYiYMBXOPb4UdrF kSeOn+KGyfR6xYB4f4tNhZEYYdt3c8zqpF9QdaZRK5QF8PYRtvmaz2RlBV3H3+oJg4GLbqrrKPNT 7R1U/7CrChGB2bpvNkxz8LISjktwtrELHnlVup7wJ4GYsmG3PWTHqHjbx5+nghnaFmbynfL/AJKj eNL4ngEA --===============6477438896495551603==--