From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1751772AbcFWDbQ (ORCPT ); Wed, 22 Jun 2016 23:31:16 -0400 Received: from mga02.intel.com ([134.134.136.20]:7587 "EHLO mga02.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1751462AbcFWDbP (ORCPT ); Wed, 22 Jun 2016 23:31:15 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.26,514,1459839600"; d="gz'50?scan'50,208,50";a="127028072" Date: Thu, 23 Jun 2016 11:30:40 +0800 From: kbuild test robot To: Nitin Gupta Cc: kbuild-all@01.org, "David S. Miller" , Nitin Gupta , Andrew Morton , Zhang Zhen , Dominik Dingel , Martin Schwidefsky , "Kirill A. Shutemov" , Naoya Horiguchi , Mike Kravetz , Hillf Danton , Michal Hocko , Chen Gang , David Woods , Yaowei Bai , sparclinux@vger.kernel.org, linux-kernel@vger.kernel.org Subject: Re: [PATCH 2/2] sparc64: Fix pagetable freeing for hugepage regions Message-ID: <201606231106.2FftOmv6%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ew6BAiZeqk4r7MaW" Content-Disposition: inline In-Reply-To: <1466644374-58354-2-git-send-email-nitin.m.gupta@oracle.com> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --ew6BAiZeqk4r7MaW Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi, [auto build test ERROR on sparc/master] [also build test ERROR on v4.7-rc4 next-20160622] [cannot apply to sparc-next/master] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Nitin-Gupta/sparc64-Trim-page-tables-for-8M-hugepages/20160623-092926 base: https://git.kernel.org/pub/scm/linux/kernel/git/davem/sparc.git master config: tile-tilegx_defconfig (attached as .config) compiler: tilegx-linux-gcc (GCC) 4.6.2 reproduce: wget https://git.kernel.org/cgit/linux/kernel/git/wfg/lkp-tests.git/plain/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree make.cross ARCH=tile All errors (new ones prefixed by >>): In file included from include/linux/hugetlb.h:420:0, from arch/tile/kernel/proc.c:25: >> arch/tile/include/asm/hugetlb.h:43:20: error: static declaration of 'hugetlb_free_pgd_range' follows non-static declaration include/linux/hugetlb.h:123:6: note: previous declaration of 'hugetlb_free_pgd_range' was here vim +/hugetlb_free_pgd_range +43 arch/tile/include/asm/hugetlb.h 867e359b Chris Metcalf 2010-05-28 37 return -EINVAL; 867e359b Chris Metcalf 2010-05-28 38 if (addr & ~huge_page_mask(h)) 867e359b Chris Metcalf 2010-05-28 39 return -EINVAL; 867e359b Chris Metcalf 2010-05-28 40 return 0; 867e359b Chris Metcalf 2010-05-28 41 } 867e359b Chris Metcalf 2010-05-28 42 867e359b Chris Metcalf 2010-05-28 @43 static inline void hugetlb_free_pgd_range(struct mmu_gather *tlb, 867e359b Chris Metcalf 2010-05-28 44 unsigned long addr, unsigned long end, 867e359b Chris Metcalf 2010-05-28 45 unsigned long floor, 867e359b Chris Metcalf 2010-05-28 46 unsigned long ceiling) :::::: The code at line 43 was first introduced by commit :::::: 867e359b97c970a60626d5d76bbe2a8fadbf38fb arch/tile: core support for Tilera 32-bit chips. :::::: TO: Chris Metcalf :::::: CC: Chris Metcalf --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --ew6BAiZeqk4r7MaW Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICMdWa1cAAy5jb25maWcAjDxZc+M20u/5FSxnH5KqTcbXaMa15QcQBEWseBkAdfiFpbE1 GVc8tj9LTjL//usGL5BsypuHjNndAIFG32jq559+9tjb4fn79vBwt318/OH9sXvavW4Pu3vv 68Pj7j9ekHlpZjwRSPM7EMcPT2//fDgAyrv8/dPvp7+93p15i93r0+7R489PXx/+eIPRD89P P/38E8/SUM5LI2Nx/aN5SpKie5iLVCjJS66LpINGbClKpnhUsjjOeKlEwvIBWgtT5GUuVMnz AogF6whSIYIWlbO5KEOptCl5VKSLjkxvdKmLPM+U0WVUzIWJ/VA776lASANz4Tx6vHIjE1Eu YSoOa+3QhRZlnvAOoFZaJO0oncsUduYsxm63XU2Ww7zyFrYBdDKV6XxAmUeweBYEqjTl7NKX ZoAPEjaBtsxBNPC01IYZMRgaMW3xwOGSZ5FQIjVArJ3F4tIDkTfrdVhqGF8YxbgY46p1SQ2P Rs4T4IZImR8PX9+jCETIitiZpJpbqpswZnNNLCBxBWXJB8KHT/M1PP/sOZBcZd7D3nt6Pnj7 3aGhJdkqwurx+mT7evfN6sGHOyv2e/vwxz/l/e5rBTlphuZzgxstY7EUsb6+aODtbGUstbk+ +fD48OXD9+f7t8fd/sO/ipSBaCkRC6bFh98HcwILylWm8FBA03725lZtH3EDby+d7oHsGODz EpaPb0lgRxfnDZKrTGs44yRHJp2cdFypYaUR2hCsgfNn8VIoLbMUxxHgkhUm67hXH2QZZdrg vq5Pfnl6ftr92o7VK1fFQZ+WMucjAP7LjaNneablukxuClEIGjoaUu0apCtTm5IZkNioQ4YR SwMrMS0vQJVj6RNcYEVgBcTyH87D27992f/YH3bfO/43Co/HBWLmi7EFQZSOshWNAXllfFMb wmgFoDFdLtIATERJIhMt+widM6UFTcxRs0FKU6ObjZmH77vXPbU3I/mizFIBi3ftS1ZGtyhA CciGw0YAghmVWSA5wctqlBywvoKGRRxPDXGUXc4j0BZtLbJqlw8u4IPZ7v/0DrAPb/t07+0P 28Pe297dPb89HR6e/hhsyLoTzrMCbJA1u+1qllKZARoZRyzN1wGeNhcgaEDscGeIKZcXjnUC I4sWWfdBoDwx2wwmsog1AZNZf/mWC4oXniZOUAmwMLxwdwmPpVjDUVGKrwfEdsU4hKDFiWA3 cUwIQ/Piyp67g0frAB0TpZ9lhqTyCxkHpS/Tc07i5aL6gzRiODwE3ZOhuT67cuF4yglbu/jW aqaJHI5tLTqfq6zItbtVMDScer0fL2pylzoQfuHiiIEVotQ8EoFjuJhUZR/TWfNQlz7YtZUM TESdlJkcWcFzGWiSvTU+hOO8FeoYSR1MUfvJwcK6Mo/6ga+sMY7lrqYKxFJyQSwT6FEhji0D 5Dqc5qnlfm/iSPBFnkmIgMC0mEwJyhCBPwOjyt3wsIAgLnWe0XelPbmArSkAEfPh1t2xKQRi /bH2nKyHHQlJR7PRcOwQpSnBIcgLqHNHu+LYphhNzdLGDMoRLfvMEphNZ4XiwvH4Kijnt9Jx 3ADwAXDeg8S3CesB1rcDfDZ4vnQOnbfRcBlmyp5gphKWDkRgQKbhD8qADYIBlkKoItMscA+v IgLrwwVMCQTWSjmMysPuobKVTn4DYY7Ew+0dGAg/htBlnSjQK0MODxOJei0j+AKe9CbpiUUD KwdvIAh8ncUFGFZYO2jNcWIf4k8rK0YuKZ7mCvRj4eovPqOddFhWOBmMiEPwCcrlKL4C/bxj 0GB5a2dMnvXYIucpi0NHSq3bdwE2jAl75gwO7tgJRGCrHdGQjlSyYCm1aAaPFNkGtyGlYzmX 5U0h1cKRL3iNz5SSVkaa1Sa+CALXots0F6W97AdkdbKd716/Pr9+3z7d7Tzx1+4JYhoG0Q3H qAYCts7J96cYeBqLxGR1mdgQk9jBMqlGlzaoqEKrhmNx4RNGE5IHZkpfLWjDFDPKDeBcPZWJ symyOq9XRrK4N2SjDSaNzLAS0hAZSrB8oL+kzGahjHt59cLG5z0e/bdI8hKWK2h1KqoRxPT2 7GwCCboIoorWmmPQ57xOCdO+0R22oKFT5D016yon1mRFWbYYIG1hIJftqY0Gdnse1QWqt5Wa haLkSb7mETmDFhxFoAQGm74ZBCNtKwSwESM4uNMp1sHfoP3G7mLROyWLnojEHQ3LgiKGXAAl G60NWq/BHGINh2MiJVjPRHTbiJiO6FACXgzJhwhBviQqRhj2ZKDKx3m2/O3Ldr+79/6sFPbl 9fnrw2OVcLRzIVm5ECqdELG2ImMJK6kVk/bdLr7J5fCkm/oNqUgMwubQ9bwGnBew3RUxa5g1 2obr0wFzh9xGt8sFhMYsGKGKtAZ3YbE7pkKTWwK6uqJAR6D1PJCYtIWHCeY0lP1kYIhGyYVQ j36ZUTKBxYJUBeUCfSPB10b0bIoTgwIWTnjk94t+TcTl6zkJjKVPhWdGzJU0m55nq5Eg0Jkx aNjodAkTiyQAvChtGUCNBDffvh4esIDrmR8vO9ePoMG14RA4Qwy/eufJwKGnHQ0tzHJNU9T4 TIcd3rE+iZyzHqKb0TAlj86ZME7Nmegg0xQCE/RA6sXAAiYQBK9LXfjEEAilYBW6XH+eUTMW MHLFlOhN2+4gDpKj69dzSW8dAg71Dj91kVILWjAInymECCfehdW32ed3TteRq8kVWfmvA4S2 cpZ5+u7bDquebtgisyrLSbPMUaAGGoDZxreNMTx06lrwUKe2NbofAVU1yWYuYr0NSTXpaCSu 7cio5p0nd1//rysGM4xP3OzKcg1vBKwdBP70SnM1Hv1UjT+GI8euFNZQJga7yP7o/pUEM1kC XkUlTqHSuotq6WAWslXqRrR2wiGuZSFRMqjLjSAG29/2L7u7h68Pd94dfaeU2ssdfX12etrN aa96MPErz2YLKnjsCGaXC8e0RrclTDSoVp5/PKWd7G15cTqJgnlOqajm1i610ScrqZHCgmMv gQPnS4XgrcJ0GlnFWHQeaSvl4zFYIYXUgxhzm6U2MnS1KUmKMhJx7h6pvTvScxtaxCKdG6dy rlcyM7HD1LRwJ7Qpdl0va0tp7l2Pk/lBpmnpMVEqe1d/dgE2w87BVzdpez/+wVohDsTgxpJQ TMpjiP5yU5kjFKTLQf7Cp/yJnCvWN5tH7uJ8iE7dyoFdfwUs8yxzHIwNaU0GiXI/pdfUeTUG JsE7PHBN9u3Xl6dXM2cXsQAnzUDSSFENFTAeL11I7C0ujsb4BR2o3epxBtmVYYNYVNrXRPQk GUReIsnx8Elr3KCXWQxBP1O9CKhGHnVN/mBXDe+T5p4ZAqKluD795/zU/tclDCpY9csvNmQv 87gTZrxJLOdrt2rQgvrK1YGTXOaCQoBvJ+cptG/v0EgcU61T9d/23vML2kw3guNOqoiFiSBL mOyXFiGxAd3vW4k+Et0BaiXBSLsWnNguvjsaSJNwFMj2RIUEMBMahNhED9c9LDkgELygPcXq VtlWR2khA1ptCn8SKbPlJC5XchrHtKR1I8pMHheWahxvA+zb8/6Anu7w+vwI7s+7f334qwqG ejwsgxVIHKOyOct5EI7m/MU/u7u3w/bL4862cXi2VHRwZAFzv8RgcuxES3XhhkDBQ12xc8wk xrRYLWjMEWbaEcQikIhRsV81reZK5mZktVlWUPuqByXgKNx1KoEvdu2qGW0DYKD0C3AiWvd7 N7CgDiZI9eoxCBQNzPIw3R3+fn79EzJ2QpXAioneLioIuDRG3fZgEtCL3jGdmKBdh8rxhvgE Oe08G4DqErMLgvQEvEos+WaAqJyWGJIbcGQaYhA9QED4ACy8/u6yZiE2I8B4Xtk7CJlXvpoz 3Yc2CWQJofmgRCSxbuSj/RN2gZQkNfNiDGA7K3oXLdWkNQVzQ5QWtxTKz7QgMDxmGrR4sKI8 paydFSMw4MCXzkJa2Bw1QyTFenJUaYoUHEjHUtyTXcLg1Ym7m3a/NFNymeikXJ719lUDnRsZ vUlBR7KF7AdP1cKWhjZwiC2CZt2TJGFGXybUuG7n5BaQikUOU6xS6nwAGcqnBVrJHXEVMSSw 0gsMMiEiSbXtIpqkOD6BL8RwLGr2cBU8b8Dd+TZcHVqCPgViQZ60UdmGsv0wM/w5d+syQ5Qv ebeeFsoLhI+pV/CuVZYFxJAI/qLAegK+8WNGwJdizjQBx+sV2xQ2RsXU/EuRZgR4I1wxasEy Bo+QSe2eQYsMOPxJl/1afgWUvW6LBDU3R2UCBYs8Mq6Z/vrk7u3Lw92Ju+wk+Kjl3FXo5az/ VNtQjH9DClP2i7wWUd2UoukvAxb0zfdspIGzsQrOxjqI8yYynw0JJ/VyNgF9VzNn76jm7Khu uljLoPrauErqXOXEHQ3MoYvS0ozIAVbOFHUPaNEpJrw2JzWbXAwOpd1Kf8opi9ogCYvcO5KR oxysuPCxUk17FBxPOKUW/D+5JaAe+yAMzvoVVoBgPyNWNhKmFj0EZOp57ZrDzcBn2UGQgtsL YIgYIKWayC6BuLqSmuAnWABO+XmJjTFm5OYRZm/k6FtOwJaBPy8z/7+cvoCxFI3tsP64jLBc DTrfK/VM0emInR15NzFiIq+29O+t4NibXWdVvbzn/1Sgew9l5Su6Vq9AVykdbX3B1NDXCYbO UuNzQxbGjGOu5kw5T76SwVwMn0s5h+RGY5F30AlY45cxS+tbzoHMcSezsR5cO+m/Hfb59Pzs pntjByvnS9VrCXNQCaDILQeCw2uoJreYu5yGx/MJ6V9P8JjF9DX++vwjzX2Wk6XXKEtFz2DO 4myVM/ouQQohcMsfLyci6KaYbxO1m7fd2w7StA/1PUKvqbOmLrnvsLsBRsYngKHmY2iOFZkR 1BpAYmJIUMf2Iip1SPGmwxIzGXETE1A/HAPn1VsH0EBbezqCw78iIciVolae3CADJmN7y+Eo W9DGsKG4CW+OzwCecTq3QIrw5n8iOoqOovAoPpdkl1+NbQoHBI+wxjOq7/DH7X6PVxnDGwz8 vCIeFCAAgFfuciB/CDZcpoFYjxHWE1+O4eFqDCsuzjtgDbA9QE71pIaOnbB9mV7mxBIAOiNW ABo+ho6bXtud59MH08wnqJ4RmyYmzLid/B2s6jlxvntwUHxY56jhqb8xgsT0WOjAE2EYicBG ljEXGDf9tQKgKt4MXovwOVI7vgtJIfIYT5BINbIBCE+ZGQNtb/UYrOWQJxa68Gvy3rEgCj/e mjw3JEAPdpTg2MEjXoZTGomsBL3oc8LaAOlmPQF3mBWkGkv9GX6q0vPqEFAw291ALibLRbrU KwlnSuKXGr+dMHTnSFOMnEz0kzymR0aajlftRu1qAkEvGCniC/x0C/PDAVUTeuWOBVKh/SjB jcrXLl7b27K6Vbq6xO6qwRXYBusDRzGm6KpszlIVttvrTdlv9PRv+jmCNQL1l0z9Oq132O0P g/Yqu5yFGXyl0UNDLDodxUcsUSyY8Ht8KnhRAaO7b+jbKRbC3tVUkBuWC07dAWKVVPX7sFYS vxZzi9orbKLrt9paELbYu10Scwy2znrKHVuQ/QIsGVyidhyoB6JwiTjDzyRXTOHnihOfCzT0 XCjTtmeWWUpeDDmzV6lM/8MKBw2pQ/jOG7FrSqUsBs2fB+RnCO3a4PjGHxa2aOSfu4xY+hZB 9x41fB1AbEufco6gRSiOF7oacvL4OBZiV3cZJMkyonICl7S9ST76zuYzzJPvD0/7w+vusfx2 OBkRQvodkUs6dkDuaN1cEE9l8P0ZYUhKfXjUUoHft12c9lMebPu4dppFVhKg5FtUuJATPYRo MK7oFIwzSTsxLvKoHHxB2E0Y0mofrybLOgF+yYz3+sMQCpQQfQzJkY1tha0pGsMZ7P56uNt5 QXvb2H1J+nBXg71sePVVVN3gw96QHri0Fy8nH/ZfHp4+fHs+vDy+dZ+uwipMkrtfWjeQMsFu XsfhGJYGLM7cPq9cVS8KpUpsW539BMzpHlnZFtRBt1FDLFOi27YmAsVWrCXtfQ/bTlp9tlNv MmRx7ENoScyFV9Er25HpXFY66TqKb6DkcqIYVROIpSKLavjlerSBJSylznobbT/kzIv6Oylq PNjAXltN9VzKc8ci2U/AI2BEgF+6hQN+CuxgGX2817Ye3FvJcoQG/kltx7d7kHhZP/ouITH0 HXpGa1fOFBpq6uq4aontRXh1l2xaxDE+0F66JsIbd60DWJDML87XtK2wDbU5JKVS63LK7dcT BoxfzejGsYakmOq8aAg4SFX1OeX0jrHruNdz3EFts5Btmb/+PMRztclNZsd+JxavfPpcWp6+ g9cLqizeYtefnfJbDVQsGW8DgPUOzmYUztr5s9nFZ7ejK1BZgoEgD5bUKvCDkQx0sRQmojb/ 3t6VPiIeljnLZKwoycP+ztGUrtwqUtBqjT8KcBEvT8/pd7Pg4/nHdRnkE1/Ggs1JNtjQSatN xFKT0bKGLccy45ckEsK2xNo0OvTl+uriXF+e0oVpsBpxpguFP9+hRsapi7rBFMV0zM3yQF+B d2cT2ZLU8fnV6enFEeQ5rYIN1w0QfZxo/Wxo/Ojs0+f3ST4dJ7F7uTqlJSdK+OziI12sDfTZ 7DON8pP89PNHtOQkGtvHqqSxDDW7upzaBCgSHcucD41t1W2EP6GRePu3l5fn14MryxUGFOyc FqcaX/3KwTEKCNZmnz/RJeea5OqCr2f0sv1PZ6cjqa36jXf/bPeexLD27bv9im7/bfu6u/cO r9unPW7He3x42nn3oKwPL/jnlKoOmW7p2ONh97r1wnzOvK8Pr9//hrm9++e/nx6ft/de9Vsf 7oQMLxMYBj55PJpMPh12j14iufWxVXzWRG2aQ/g5Bi+znIB2E0XYeTaF5NvXe+o1k/TPL6/P YMz2z6+ePmwPOy/ZPm3/2CFfvV94ppNfh8Emrq+dzo1iVje0hRE8msjG17H9WmkSWbdsspxu cEESIaIR0zXXsrbSjoA35w9IvEp2QikmA/xVEeVceSGVE9TimKof1LlhA1hdI5q40sMX3TSZ GHmJp2UVU4VtB5tde71o7/DjZef9AnL857+9w/Zl92+PB7+B3vzqNAU23rj/IwCRqqATzbU1 OtMTBO2sEz8Q0ExP53wtmlM/XWB3DX9jpuD+hoCFx9l8Pri5s3DNscynN+lYXy3HTKP6fbds h+ayOt3pUwr5mMLFS/t/QkRKzXQN/zGCQwIJ/xCI3sckLRR7hOsfQxpsQOXHlwd5i/2dIqc7 wcIHd7YVEHvtqy/Xp/nB13P/oqI/TnT5HpGfrs+P0Pji/AiyFsKLVbmG/6yeTr8pyjUdy1ss zHG1noj4GgI4hGk840wdeTtj/PjymOSfji4ACa7eIbi6XFP9iZWlWVbCNrA/CB3f1I9J8Gdh 4n57bI0tkiPnG+QGnCht3qtVY4MbiNsRCsWTCTtj8QKWd07jE4hBrPVOxWqqYNzSHAlYWpqj IpDk5uI9gvOjBEWoI35Uho3MJn4bxFqCVNJBYu2g1hdnV2dH5g8Lg5F89Q3BNJnMj+wBf1pk orre4NnZxMdW1SbM/zN2Lc1t68j6r6hmdc7i3BElUaLurVlAJCQh5ssE9PKGpdjKiWscO+U4 NZN/f7tBUiKobiqLVCx8DRBvNBr9kD2zXB8SfxwGsNxpbrmuYM98uYczRIWlN+I45YpI3Nq6 onA89//bM2+xovMZzSRbil008+Y9beUVaCrOILmxp+RJMGSubc65UOZhEqqe3TGin8cslumo GnNBG/93HpXwXp5Wh3skSLW62tUDanOXsija8iWNWG6PwOoYP9tX/Bj85/njKxT1+pdeLgev xw9gQAfP6Dfjy/Hx1GLvsAixtmYzl4Y0idYWA33R0O1FMmhr6E1HzLDZgvAosMVRWypSaBWP Jt1ewXoTct7oWl7STksqp0GRRO8LTjKaR4mi9VAR2RNyeJXiXadcE038aZtXSKKLNj5Z69Iy tYdOnjDeaE5bb3Fl2dZpdpRYwbBR6XWXREn7S0DZy1hHSddZhi17adWB2qU0vrus3SuqHFBv GRdyK2+7dB2k6FTk1pmeW65ZqxQ5+61C/wbc2wiWyFr7AQjXSroeqDOQFU5F0L0ZCrqtV6tO bbq7yAV5kEXmFHMxwSBTy7ZikwNot1+s/zsnpXpscETqCdqN3kn6TAYUHcIYFu1516/7w9pJ U1yzEcVK1q+sLZXzpFSVtwcnDd13qMxNy+398JyEEtiFnT224Jb2csWHd1KXG92x1q9S8KpC 1LYB23eJOs2+kq3kv+CwuyosNPSDWA3XN61riYWUcuCN55PBH8vn99MO/v1JiYmWqpD4ek1/ owbhKNCU/QPcm+unjo6+kutiKrNOMlvTCAWk7ckt7zciVpwfO6t7QBlnq+WiqxVjpKCe7BMR oiqM8xy8NcK9V+Wstsx2zyFQjiYNx6Ey8JfOYlepqE4ro0MqkrYFCGCu+oVVoMisD8fUFPBH +8nPbFynjpu03NqOtx5WY2p73nYk7GmccM5Ciq5KazVh8Jn1Ipt7csVJ0fOPj/fnzz/RfbWG Q/7x60C8P359/jg9fvxEyduZvBlzs0axUEcXCzaXKCvKcZgljiZuVnDspjnk64x8lGmVJyKR w8nrnOVVEp4XxVLR7gVbBayka4MpjTf2OCuzJlNsZMdrSig53r+WPxp9qyaJ6/0liQLP87A7 6ecGHMvx6EaZRUgOg8AxyrTLAsU0Rw8AzcMiQG8viHCdQQ92u24bODupg9WuAxHJjptCWKmc BnBd4qLIRNSZeIsJfTFYhAk++DJit3RP91HIDb5Rqyyln06wMOaJK91TXJPbIuwJp0Ep12d1 nlBs1cbpA7PepPgAn6LDY/otuE2yvU2yWNEtitX9RkWkDlu7hmsZa9fOvU4qDT0FzzDdxWeY HusLvKVY/3bN0KuGs0twAx7RRgOtsiJ3u6rMKWPFmcM2uWotk8uH4hEj14bhQJvF/vIksIbS sZ9eyNHNusuHcK1yckuRe+H65xwxUojtfnWjbmtHxrrOPdL/SysDaqI5LqAkJ+GQXWcyLsI8 wa5oTSNIZ9aE2nNZAGA+gghX3ISrGQBMnmXiDSk1mna3BSN/78yBT8mNoUlEsZWx09fJNuHU ORPkXUS5YK7zd+RE0HeHkTOR4DcrIW1XDeol0sxpTxLvJyUneESMfXYH1O9F9e4KJuqkwsKd mXc6CHwPCmDcyeqHIJjsu24tiJIPhSNCwd/ecMWw+1LE6Q2eJhXAoSROmXUSfWDrYByMbqxL +LPI0ixx9eqWVmP51pYbjOdDd58c3d3ulnQLx4wj8LLuECNJiklaGbM75XKBa9Jzq2XeK7cU Ml1V3tIuO5UAXmRN99dBovraUt3gZyvhaLvQ+1iMuYeJ+5hlPO5jZi7Ax/YyLdl8pFvrdg3h RofqUuQhgA5jjHTOqQDuqowROEImo7eOIvCm8/6aFMCnOZfuNhY5nVhMh5Mbc7VAU4OCLEyL BA5V99ETd+sub07klPKeLlLhrdV5zJmPhmNK5dnJ5b4gKT3nJPlKe3MGIq/c7a8k2uk8mauQ fTEA2rnnMdJYBCe3NgltcJd0uCtIQpvY293r3pbXIs8PCUxBji9aMaqAIdpOpMxGpyiF6HYl DmmW6wM9D41cb4yzs1Qp/UV2cqgyzOG4ETG9ok1HhnHOFltLWbJeW3eThJ9lse44bHRQNEYI O9K+62J36iF1HymrlHLnczPoTMB5AFxGET0ywIkyiif5+sBph+c5835Hc+Co3WUVwa1iccdJ +QImjuG1wu7Ejru8I5yjv44N/ZKHeGHiwGO05i44fR9FHGbFLGAODsThH3fPRVjla3r97aqd q/XrIoxJOps/pAS0IYeTzzhGDiiu5p/eAPXpi49FuixCG52z+eZ36IWF2RuKeO4xeoeQdXrH uZn2/RF9Ld2peDry2BI7fPslW5iOp6SCgduZictx2gTmW7Np6A/3ON43SqVFKIxgYzLuectf oDoB7O4suOyARG2a6zgBXV0FVb4bcXsPYiMO28WT+ZTWjgRsPJ+w2E4tqQ2+W80CmADn+MpQ R5He6mSRMJq9uT8h1NcvcKF0Qtr8t6tDXOtgA5WFYbQlGtA+pKF5B31Lwo5gpLvJLg6o66lT Kwm8fGdHSWDODj3qSG7nLERXXFKY0Z4UIzjZrtlXu8symgoVNiMKBQQ3jsixabfk8xEXnKlC GW3LGmWMBhGdjcaiF2XkDlUjAtn73R4U9vee72J7aWc7iMK95uZIaocXgp/lnBTPtzNphwUJ d97o5tC7LNcu9kY+LXJEiDlVAeIO3F3MCAvadXg4ROKKxXiIoPZ0VRDyvGJHFHuxitxp5bzN NxxNgZ6T7Ofb2Svd81fr5XL3jOZ8f1z7bPxz8PEG1KfBx9eGinCvuePe3JI9vlzQm6eOGLPi bXJVTfX6/ecHq0es0nzjTAObUC6X6AI55sIRVET4PMeZgFcUVcS/u4TZryuiRKA/+S6Rrfvm x+n9BUPnnVVknL6r82cYFqG3Hp+yQz+B3N7CF4SHjaprr4wZO3nv5GGRcWqXrSb01x99ptEM T0Vi/WDRfGpNkG3CtQ4LyQj66poAz0BvRIm6lgPaxq6P70/WukD9MxtcKy9LznvLSiSSNOoI vx7fj48f6I62a81n3OATW0oQjx5O50GZm0Mn7NA2N/riOExZ7S7OEqiOfomF0BchaJaIOR2x y4LMHjJONFiuNM0Q1GFsaYtaaIbjsxx+31UJlRr56f35+EJtNHWNg453+cqRwdvrXxb4UWW3 L9yEtkRdBvp7jpUhxdIVRddlb538iWlxDeswTPfMxbOh8KZKzzgF44qofkr+ZMQKa/obpF0y l+g6dm+Tu2D0WCu4yBnlzwpe6riMc7aGMNXrgGZEzTDAcHXZvswETKvCKLQ490SVVWBZMuLR DlhAOFPbEbCbpCqsmfXI7XBn4/mUfiYUeR6rMLs+gGq1zUdiVV+KFbs+q2QTwr+cdki/dd0l WHmOLtw72F7F8aHjBLzawUchcSa2rZHhR2m37443y1Er0EE7DT22u7a/mEx75EWktuh2gxYj gJ6XF9bvzbmm550WDasu1a57eaATTP8Nl95V8crzx8zlrMGnDP/R4PsePIlmPm0UV8Oot8Hi KmC4OQtqRmMOwVypPT1DEU3tQwfjig5wrbTvz/luAXw6Zq7CFTyf0psTwltGfbnGOuHALzPU Rs8dfEb79mo0B398g2F++TU4fft8eno6PQ3+WVP9BVv549fn7392BzySGLrQ+iLoVR/u0jKC IiTLcJtnOEQciVDc/lS+F73fAL7cSCa2A8B7jKW3v+o1+V/YaF7hJAOaf1br4vh0/P7Br4dI ZXjH2HDhfEdhY/EP1/rVmuG0gKrIFplZbh4eykwzjjmQzIhMA1vJd4xR6aErcrKVzuA+8d5q WGtadBvFRhuwYCy2DNNppwDqFPP21mcS3KdukCwY+a1mBNM6Z3imtSbCGOT6egvPXY898PNa VnrO/fjyXNnfXjM8mDGMbay9O3sg0tKjC1UccQx0i2iVq+uFjjX5Gz2gHD/e3q+3d5NDPd8e /0201eSl5wdBFUO9YQTr22kt48c7VMq5rG1dU49PTzYEG6wc+7Uf/+NYx0K9uReDHb1d5+g4 zzo1imlBZ0WAAVDoJVXhYssY7O84iR6q7iWC8rayQ+d4UeY8VDZpnLLCGU+znThk7pX5DF7Z I9rO2x0/Hr8+vf3dc1HU2dKciyGbU+1z/TQPShXo97WXqFYN7CeKdv042sSP9zeqAxxCMvOG XrmLmN0STtKh1IsuQROdpI5iee4/tArvhibJw946QMlU6BPYVm8WDjR04c2Y4eNUprVCp/HN 7evt9fnxx0A/vzwDBzZYHB///f3l2LHcJ18RFiFGxusUt3h/Oz49vn0bnIOSiWQh2oVhtqvW JT9fPp6//Hx9tMEUa8kPcUIky6hHdwdAocczhkfLMSSbiHLfZ7xaYH6onT8fMpc1+4F9Phru WacR9iORmA/HfBEI+yO2iDMJzdI18JTmCM8wzefWMPf8aOE45YtOQg+VVtjKr01oY/uE9Ofj HFhhhhNGjOOS8dOfRPpQhknG6qQBzZ1M8pgJjgpwEFjLvRs43+8WnzJeSGz3iL038WezPoLZ bDrnB8cSBMwDXE0QzIe9XwjmjL/pMz6/kX8e8LiZjvuyy3Q58hYJP7e3KkcjRE7+hCSFNPTb AoJ5uPRhevM9VETheMRorljc6Cs9vA6BP+wrH/N32FyXIPSNH/QUkPpm6vFdrGXYv8tpNZlN 9zdoEp+5j1r07hDATOUXOqr40GfkYu8Prx3EuJkPGKuQhQ3a8I7H/r40Gg53fqrE+XjesxTi PJgFfDfmIk6YZ06T66k39Bn7FAD94YyfQBVBQIsKLgSMmtaZYOTxy6gm4BtnCQLm4n4mmHv9 5wwQwX44pueJ2cWT4bhnqIEA1e/65wI+q83G/TRxMvZ7FpxJerb87T7oOSlFoR6yVPR2wi4J Jj2HAsBjjz/xGhJ/eItkPqeFPIVcbeKukfclM76VNz5Wrxin1fvx+1dk4Iib4HYloP0U6xYV rlVvkZRRXorNvhEG0nnKu0Q3viy/ddOXiys3lwgtF2hFjEYJohspGWH0FFlCC6OzL0lSnHR6 fXx7Or0P3t4HX08v3+EvFBg5rCGWZsV00XbmMyxgQxOuZ8MhvXwbEq1ijxEbNyTpPi8NMFPz gJKUIpWJlnu3pwpvFHS7voD7DbNbIiySaJVvrrpFhPngD/Hz6fltEL7ljS+pP9F03wkC7JSV ZputFNTTPKLJSri1RWVCJ0GLrVjJbgO2nPolgpuI1lGyTWO8INWVWXEqPIiHqig2uryHqcXS 3O/5by+ycE2ZKFusinHy62woCVeiX9Z5l33RhVvO89Pfp6vpJ1KBWt57+GPf1dCztMv347fT 4PPPL19gBkfdl0LXNvbshhVXB1FPWG91qNaWcfICRth04v5AYsScsQBZr0RbqcktpvUp+LdU cVzItnf9Ggiz/AA1FVeASmC2LGLXFX6NFeg2VO2ldUpfYggB+svov5X8MgLklxHgvryEY0it 0lKmsKtSyrXNF7NcO4VGcikxXkAnXCuSwz7LiZgATgTeWRiZMw6ACO948SwWgNG3qq2VLQSf kLC1hjIsd2bd1+ZBhrhd48jYVcV9Jk9ohhEzHhayGHE2WECwwUnGgRgvgJfMYyd7kcdaS+C0 t+YhHFqoLYup2YStM+p5ZOw3e/ZtQIU5wF7fg7JNpRkhROzuy6KK7b1UZrAeFLsJ3B0KmsEC bAxnGIdtsyzKMvqsRdgEU0ZTdmnDlkYyZae9KGjdETsN2UJDUSSctjv2EdxqNnx7uLMKp8ki KVd7M/H5GY5hyTeMjQJOpsZmiiVYQHfxU9xq6uq1ZKTO2GWbrLzzOC+ptvkzj/GF2uxCZRxG 1FHQ5iox1iy1W68j18wMDkPGX1W2SZ0zrdLKgXPu6qlg7QaYhZ8Ye8TI4lCiE/50xSjiA2Eh diS0WZMHKhZduwQ/C0dRiHl8sTUj9kvMISZGMkIrC4fFhh4Oi+Y5Y/pxRhV9K7D4puBMYmw3 yfiOcTZWwSbLyyX93IcE4RoOPHqXqmAFv3pwe3Hh4UNecLp6iMPorbK0UIySGZJIvHXw9Zex DBmvzRVMz02LPXDOcapJkiwUI72y+JJ5PEZwnaEiMgvDd63WG09w4DtkE1ojQxbfidgwXu5s vQ+FvaOxBApfYljU7FS6ZlRDq6alGtgT0/OBOMy7UatcXKbZlh82bH3varSHIK+5aEnQZA0f t3iKDFX8e+aH1dfrH8UUDj/6+QdRdJ3CT5FcpPhSGGc9UxDYKRseoofAiPiQ8ltTDqs7Zlwm WjwW6OQmVSG/hvOCjRuCcJGFoeCrqIXq64badpPHcykj1kewpTASbh+w33Ou1ZFmk+YxwxDb NnDP/rieUHFV6J5NEKMNmk/ZofcTRvVMeVjPWkp+mMwa2HlThbXq2Rf6Nsq9grnEoujIrLf6 qPsOS4pf9JVf8HK9udYbQSE7yRWgrjvBGeSM08aavCPYuiipOZ8457K6biSrgOVl6NUQr1yx rG+Tl3u4dR3fjYpkzQqtPY+bJgqMs4h+iMPIQboGAyJNYU2HaPu5owKWnAMlnF7wBfft5w/b gW9XQWn04hImCo2VXKsKC1fOrjAERsbcOm0fmFW5W8MyjRUjyWmoFrFlMLXpjrNDuYlzxare IAGnOoHYznbwQizpaYQ6hhe3lpRKg80/ne2Hw5JzFoskexz4DkELljXc7VKbXqC0BXqgNKQa eENmDI5xE7e1i+auj832R/uV1+xg7Dcjb7jOe5uodO550/1NmvF01EuzhKGHr/X0VnbpLSKV amr2203dEAPlEOg4QEOaHooiENOpP5/1EmFlMPRb2Y39dp58tRqNDW9KXSTs6g75llilamYD t1M/4vMa9ym2Up7PjPzfge0CkxUoU3g6fT+9Pv0YvL1Wbt0///wYXDzcD74dfzVqXceXH2+D z6fB6+n0dHr6vwHqYbVLWp9evg++vL0Pvr29o6PYL2/uzlPTdYe1Tu6xD25T1fZ8N+kw8uJS 8BtOQ7eEo5o7A9t0SkecTLpNBn8zjE2bSkdRMZz/FhnzwtUm+7RJrEPUm4QiFhsm+lKbDENQ szxsm/BOFMnt4ur7HjrkDW+PB1zDy81iOuqxkt+I68MP15r6dvwbTdoIlX17gkQhpwFiYWT/ e2aWyvmXTJvfbggRY2Vhj9YdoxtTg7zdP3roUpHk+xq35Nn02lYGu6XjAdLtdWvdQWZz2Qkm v0wUo41UoyP6rc1ue9HGMBKSqmpbLfn9oFAZJ5CznhLkKjPsjdJS9OzrMcNX27Gop3N4mIWM qlVFZpU6+RGL+NuoPUBNpErJuTK1/YdCoghGPhb0jdT2otLw33bFTx1GacoeIAXanG3VomDf qG1Tsp0oYDx4Cjwj+Vmy1tYZrMZohXv0lt8zzVFQuWSEe0BwgNz8lJIPtmcZh492/WpgfeGP sc8Ex7I9hiGKodNl0d+wcC0y3REnnZdX/vXXj+fH48sgPv6iFf3t8b+mhzbN8oojDaWiTUHP jBqjCoT4SkQrzl3IjlFy4tS7ZMIbfeKtBaYqzdxjKGXUJFUx53ga3RGkaiFSipWUcMe8vnFh qvurMZK0as+OKyQEOV90FkwSqjx8eLskFSZEDwpugg3g7CatQ5M5joVaifXN7l//eP94HP6j TQCgAe7XzVUndnKd24UktBlBgW5R2jbKrRzAbS7PfdRNd+Mhn5M7JmTt9HKjpFUBIQfWVrHY Xq2i8/Uca0qsjCafWCz8B8m8ml2I9gHzLtKQRBqWCa2R1SZh4k60SKYzemtpSFAVnXPv1dAU 2g/HN8pROvZGQ/qJ0aUZ/U5Bfn/b90jSS5GHy4DzjOPQcMrJDtHv0DA6lueOnniG9fBRkSzu x4y31YZCj/3xfEifnA3NMhl7jIndeUBh/jGegVokfkDv0+1SGN3ehkQm4+GofyiLbRC4J1v1 2pWrzlprr2VUrUpRrKrOr2NAj1Y6v7FGIz0ejfsnIQzoyLtZcWjb3GWRK9OLl+MH3Dm/3a6H N2L0NlsknPpYm8Tvn3o27KRfLkWiGCuiFuVs0t81kR5Nhv3bjjZ33syI/s0gmQTmRuuRhDGx bZP49LX1TKKT6ehGoxb3E5jL/cOd+yHDuDQkOCGuLzxvr3+F+YafzPa4URerFZTy6tMrxmK8 MYFaAms0SCPrFiWCk84CtNgsWyLZcyaMsGcjXtDs0f83diTLjdy6+/sK15xyeElGsqyxDz6w F0k96s29SLIvXY5H8agS21OSXC/z9w8ge+ECtFM1KUcAmjtBgMRS70ZlfC4ic1T0Ee6ctmwO R2gF1Vn8LMpYE/kWnSSES2ByeDq+nd7+PF+sfv7YH3/dXDy/709nMjJDJcg8GL3LePnj8Cr9 B63EBb4Elm/vR9pJSMZFa/KICaOwUnECGj/5gCCpaiYaQkdRMbaHYRuLAPrIeBmIKPYy0sE+ S5JaE2X/o6eZl8iL/PF5f5aukqXpcVnsX97Oe8wrSkbTqEJ5Q5nAvioy91Kw+PFyerbHugTC X0rlzJ29Xvjopj34dlF+gXW6i/ikuFBew4xJjslrNosipLMwhztMxcGpHRljqRAxOyOtaM1m k4TsA0S+pcI5iCJpMO0ZZoRJi9uJVjfGE2ZLk/6jWqoQkmhBXN6iNli+/6F85w1f1zafPacu ohct+q5Pr9NE6rgfU4F+yNgL+UmzRsN6pLBr7ErCmxdfGDHfE9995ctBB4Gz+/EVtvPL2+vh DGzYefErzABabW4CL4tdnUG8fju+Hb4ZLCENiox5HASFLd0EUUIvWMxGzizlivGEx0CFTeVm x5WJjQ3zbG0DD1OeL13/yMUBdruacT0hy66aNrqO1gKaHWYtdcF5VqJxsh+7qDL0a8z5ZGAu 7cIv+VIu2VJmdikzvpSZVYq++zHeu8wDxpmoSBpOh//qBUbwefzNEkMjEpU1zVBpw6gMC8Ax GVy/OqgWsZOIoaP4+67O9GS0O2tI+kIRwVjiIWorCnowEMl1b7ko5bp5sQANeuPDkdwEsRGL JvMVnijKq9SADGV1ELo7PRbGFpgj7pUlm2usJy5qzMKVAp28JaCHX1Hz70cKL0qYQ3o80yh2 +znsyyk/81ivoE5zbqHj4a6vCBT8utEfoAmG6argaLPxesX0pujxvT9AJ5zagEgBZA47o2ih EESp1tqVP7uM3CoA6kKYqXzkA2ZLiEuWS8ynKLh1q7BVERpl3y2SqtlQoYgVZmq11K+0qcAg RotyZqzgBQyFsV99AOh+BBnI0yCKN0TkBP/x6bvh01EqNvJiAVD6rUpzKhViFZVVtuTkp46K X+YdReZ9DX2M/FJSpgaSBleVEch0gI5UoBGRbVXjINOl/x5sAnl2OUdXVGY38/lnY9y/ZnGk RzV/ACJ9GupgYdDj7zTuE7gHWfn7QlS/pxVdJeCMz5MSvjAgG5sEf3eWMj6Izjk+XM8uv1D4 KEPfOZDpbj89np4Oh0/6VhrI6mpBK+lp5fAXJR2d9u/f3i7+pLo0pLDXAWszmZ+EoUeuvu4l ELuDJjVRlRXmbs3QRy6KgyKkuMo6LFK9VuumuEpy5yfFBhXCklVW9RIYiacX0IJkc7VNKf9Y hw/GgpTMEq/Fw8TYYFkh0mXIM3ERjOAW3NkeSu6rGjFIIh0QVJOydNTcnm7F1wgoNKvj0N5I RzweNfJVnC3JDvqwvfUhLu9qUa4oiDqlHLHJRAcROnIR9fRkAVpi5BhMchnTBbUU0s6WFs0p SrR183NaYe8/kKtxrHUP6n3H/TJ+YBJSDwSMM0Rf98M4fibNcdAqp4we6HuinjZMvDAIyJQv w3wUYplgcKf2RIJCby81VXjHL5YkSmE3M8gsGVnWOY+7S3ezUeycxxZjleZoVsIM2H254T6r uT3fhaUyGU2HtFgS/gYZxPx9af82OaOEzYzcn6gXbc14wwZxM9FXZQujkkjmabcVYxUW6sXA WHl4FXUc7sgvuqqbKMnjENeSdCBo0H9Dprq//fTX/vi6//u3t+PzJ6d5E1hHS9fnwBhIh50g GAW09iU3SMkZaonwpAJlHIiMwQ2MLgQwP874BzhJNoCimlmNC9QQqqGiT3okQiu7j2hgiDpd GIbeY5I9SNJWBklR5qOHcylD9OYYIFXrPjbV/qn6pI0k9Lq/kTTm3jZnLuu0yH3tZJC/m2VZ OjB0OAOBKU1DbUQBgbFPgL5ZF96VvgHaz0bE0jBf0dvVj/T9iL9c6XuAUntGYrehWDf5Fk21 V5oYgqg694WeCVgCLcFGwqQU5NQL48tV2mVTNz+QULahgd4iq4eJx35G7TU/55gjiMOCl5Y4 xhnr+zAuO6n49tP7+c/rTzqmE7cbELfNb3rMF8C80JgvVwzm+uozi5myGL40rgXXc7ae+YTF sC2YX7KYGYthWz2fs5gbBnNzyX1zw47ozSXXn5sZV8/1F6s/oANeX1/dNNfMB5MpWz9mejBR ovSjyFxNXfkTutopDb6kwUzbr2jwnAZ/ocE3NHjCNGXCtGViNWadRddNQcBqM/V4iYEMUMxi bBE7Cj8EUZt+WRhI0iqsGY/znqjIQDD4qLL7IorjD6pbivBDkiJkTH47ishHK0wmYn5Hk9bM m6MxfB91qqqLdVSSCfKAAu8PtJgscWL86M8LeXWwlrLXxffHJ0zy0T3p/TgeXs9/ScuNby/7 0zP1Gq2iuDtP3J30L5VavJAEDW2D8lXLxmd9U1r/IaM5/tvLj8Pf+1/Ph5f9xdP3/dNfJ9mK JwU/up5KKhavGcZ8gDVFGNR+aHjaaFjQn5np0IiCrSgWtOK2DDyQ0oooZ+6bwxTzV8jrTCgx B7VWVKTC1RImdVmpa2/t3heUa1XE7fTz7LqXkSqoFrhVAvqJeYlRhCKQpQkmL0GdYmoR/M7L YkYdkub925QMsK/Gxrh+gSrDouybbg1jqSROvHpJMPQopXFaJGrMsjTWrqGlF9xWgDaqxiTP VCYt44pUx/Btx3DprbSGz/x5bTxAogswqn3FHVuC0hq6ZZvsX96OPy+C/R/vz89qH5lDGe4q dG3mQjjJIpEQBLKMeXPFYqBfZcbejKti1KUuE5o6rr2OjG6KpJBCLtH1FcbhbfsvE+kIYrI7 zEgToXx/DcqXIHNAK5pN4ha9SeCfkCLoSOlAVdAv9z0+Xy5isSRDO0kSZS0A2z+q3Fa0KwaW Sf7BIMl+4kvAIs62NnuykfYYrSJz+akLbFxhF/Hb01/vPxRnXD2+PmvsELWzOocyKlgE5pUt hnHKBewPGZi5JcyFlQz4Q+JmI+I6vP089AaralZ1umwqUa71fiqVs0fJwwJvBybTz1S7BsKP m2XR9q3qi93ejQdyVp8By8kych4NvN1phey604OlO2Z/ohlA84SSMEfDVJRqd4RpoNjpyErG +tdhmFsMoaXpzItUJXL54MIZuNTFL6fWfOr034uX9/P+nz38z/789NtvvxmJFlRtRQXnUxXu GFf4dtlCY3C1jJB8XMh2q4iAG2XbXDDhWxQtVtaMsM0Ctlj3LMpcakMBOEojlYgqQ1GljGGw P2gLvo2LPIIDLV7wD9GyUtif6MTiWLX3JzysA5k1iWCyisuPsx/4b4P2L2Vo8x4eE1ue3i3L i5xHQnvex44k+UocWQaGBoUPchqI/JEY3uoKv2YOVDmlBZNaUCVnQzQlBfRk3NgPUhQWAMx5 nOKDKUQSPCpgKuO4Zxfzz1YhOMdsFeHd2Etru2HuWpGmkEfTCKW8eERxBN8JGE2kna0mLAqZ rZS4MNTeLdlLxWGxg9Cb+vdWXBldqMPQBt2pWERwmqClgYzcp3hgSZyPNCFRgyQZNpPrAyS3 zKJOlQQqiQoOuyxEvqJpOoVm0e1ZowBVd+JjyBUQ0f2sCCwSfH+VywQp5drVX0gBiKzFafzC 4RBWT8gpAdkCzvXFGIk6jEYIWp2lO+UVJWP80o686iETb1l+35SpcHyUu8MfvQxXuP/lS0Oa pZYBiYJjDAyMPha0H3C5cztyGPJRQnUejwxE5wQfZSNbGarzQA/YAJfjAqGUOIjRcsmN4rAw Gg821Cqx4t8ptvn+KpXnan86W4wzXgeMPaL0qZShN0oupttadqDUbazowRj2GZyAI9zTQyMd Hi9Z9wbz1I2SqQdbHq9O7vmsP48pFiQN6wsRBXNZkH6rJUdmFe6COqFPfkmAzChdjkbglHRr IKyYaJGSQF6q0PHKJN6LKi7tqMTXNWPBKrEFvkvIlJo8DZJQe6+OYnyx88vCN5hxIqS4w59Q am2tRxZez8NH+p2PDAoVFtqqIQg5v4h2/kQFnHsdcnkxBT5estqePMPWy0Dz6mx/DdsHr4p4 eVCi1wET9cAryTi02tGJFshNVEpBeKtHhGmPyT6/5rC/MhNHXUqJIu6yNRqG1cg2V5slaEQu w1MuAfun9+Ph/NO9rsMhNpi2Ci4kU1GF97iLGIOV9lvmJJLGNGHAkwCiCVYYRFY9JnP5T9un 1CAJS2l/L4eIvq+yzJg7iGH11JXXmgPwmGa3KIz56Qls/adj5mXSJMAL0M6iEUFQ3M6vri7n TvnA96K03hE1t5hBp/43NK0iPGEpg6gUnu7w7FLgfXCWj1CIjd/rrRyNFPeK8A6OpcpV/h3y PIsj/x42Gfo5yYtGJurc8GUiGDW2J4GzJbtnLHY6GpHDuCVMyIPh6T4TQc5E4uyJ7oUZREU7 KZe2MXwPbDDnobCDJThUog7Mu66ICdhiJffrZXIlBBLLTpPbLZpAUFc8Ntntp9P+78Pr+z/9 2+8OtBKpx2hP9uoMl1aNFgx4m5/f21AowwbldzZEiQQorG804wBkNVn/YHH8+eP8dvGEgYz6 zAMDu1PEmE1Q5NqrogGeuvBQBHaFEuiSguzpR/lKz7ZgY9yPLPOEAeiSFunSKRlgJGH/xuM0 XWtJvxy670pqTbfIRKRiqStaJpwqD4WJDwvsuJQ6kZ3il4vJ9DqpY6cjaR3TQHc8cvnXIUZe f1eHdeh8IP8Ehql122aF4Tsl6moFR6BTVyvLKoen9/P3PWgGT4/n/beL8PUJ1y26F/3vcP5+ IU6nt6eDRAWP50dn/fp+4pS+9BOisf5KwL/pZ+C395NLMxqASVmGd5GzrZoQvo5SiVDJ4qQj 58vbN91ivqvLc/vsV+5O8KuSqMdzYHGxdWA5VcmuKomug4ixLUzhvHVWPX3negBnjFP6KtFD iHRVUu3YqM/bDBTPoPG5NRT+5dQn9olE8LMD6GryOYgW7uaQ3MPt/sczngQzpwtJcOXu7ggW QRjjX5f3JIFKj+KCdXOaATy9mlPgy6lLXa7ExGkMAKkiAHw1mbpbbllMblzwNlfE6sg4/Phu uJv3DN7lRCKtvchdvSD5u0MJR+J2Ecm5oRGdLZ6zP0QSxrGex6VH4HM091FZXZFQd7CC0O3C guaP65V4EBQXLEVcCiYro8V7xnhO6B6scGDkoH8Q7NMdEZDVySFu4cNg9dYMx/3ppLLs2GOy wHtRlwk9ZETvr5lICf1HtH3CgF4RztyPr9/eXi7S95c/9kflP+4kBOqXYRk1fl6Q70xdhwoP H07T2p1+xLRczS5Z4aw7B5LIJ43uNQqn3q8RJgEI0XtaCoCUqCAvLz6qvycsW0HmXxEXzIOT TYeCHd+zlfE2DHJpgkki1GVFU93nrvLt749ndL2H4/wko2yeDs+vj+f3Y2tRY90KelEqinvi 5km9GB7+OD4ef14c397Ph1cjCJQUjnWh2YuqIkT9yriWHW5IBjzR3c4zHTTuFOT1ZlFkSedw SJDEYcpgQaFu6irSzUg71CJKZRIxdZHm4nM/wuAKIndRZkofOB1BJorICL2Am8x1Ru437kkK BVZ1Y/AcOI6tKi6nY7eWLQGotaF3f018qjAcY5AkothaaTosCo8xjwLsF6JNceRRAod/TdBK jVPLpjGscYmQKwY9c0RPRN8jizTIkvGhQoccfICXDPenAXXYMPBfWS2GbhxoEaochWz4jITv HhBs/25213MHJkMg5C5tJOYzByiKhIJVqzrxHAQ+hbrlev5XfbRbKDNyQ9+a5UOk7QsN4QFi SmLih0SQiN0DQ58xcG0kqhDE7xCXBwVr1kk+TKYG9xISvCg1uCjLzI9EFUmOVQjtdg+vWYE1 hIkNwte4xmAZ8kZW7zg+UBQGSXCneQIs48y4KsbfY6s5jU2vgf4auH/rkMtnIT0JsC/GZsyK gNlJQcC+FaJwT/kfZJjeIFxGwJGNA7ZcuqaVAyrPMsPtoO8A4KT6RzajTZ0UPTjOQP8H6T/G /XUDAQA= --ew6BAiZeqk4r7MaW--