From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, 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 6F59FC4361B for ; Thu, 10 Dec 2020 17:20:58 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 2DEA323DB4 for ; Thu, 10 Dec 2020 17:20:58 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S2391085AbgLJRTq (ORCPT ); Thu, 10 Dec 2020 12:19:46 -0500 Received: from mga06.intel.com ([134.134.136.31]:31646 "EHLO mga06.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S2387761AbgLJRTi (ORCPT ); Thu, 10 Dec 2020 12:19:38 -0500 IronPort-SDR: wFai5lCdMrDuBROKnShfHAzgP98KLTk6Sb+m60mANxTTVKlOWmGQz8dcbAmg/0rhrj7HDGc0Ui Tx9luREf5M0Q== X-IronPort-AV: E=McAfee;i="6000,8403,9831"; a="235889439" X-IronPort-AV: E=Sophos;i="5.78,408,1599548400"; d="gz'50?scan'50,208,50";a="235889439" Received: from fmsmga007.fm.intel.com ([10.253.24.52]) by orsmga104.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 10 Dec 2020 09:19:21 -0800 IronPort-SDR: VryTgELAW5YZ9mEqXJuKYz+akD8x9IwRp2z4cqJo2qZ+ikwyORGs0A/pt2RSxF1h0qg3vDujCE AEToNGDxtCOQ== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.78,408,1599548400"; d="gz'50?scan'50,208,50";a="319721327" Received: from lkp-server01.sh.intel.com (HELO ecc0cebe68d1) ([10.239.97.150]) by fmsmga007.fm.intel.com with ESMTP; 10 Dec 2020 09:19:19 -0800 Received: from kbuild by ecc0cebe68d1 with local (Exim 4.92) (envelope-from ) id 1knPb4-0000NC-L3; Thu, 10 Dec 2020 17:19:18 +0000 Date: Fri, 11 Dec 2020 01:18:42 +0800 From: kernel test robot To: Ard Biesheuvel , linux-crypto@vger.kernel.org Cc: kbuild-all@lists.01.org, herbert@gondor.apana.org.au, Ard Biesheuvel , Eric Biggers Subject: Re: [PATCH 2/2] crypto: remove cipher routines from public crypto API Message-ID: <202012110108.bZjYK1Bf-lkp@intel.com> References: <20201210090524.18880-3-ardb@kernel.org> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="8t9RHnE3ZwKMSgU+" Content-Disposition: inline In-Reply-To: <20201210090524.18880-3-ardb@kernel.org> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-crypto@vger.kernel.org --8t9RHnE3ZwKMSgU+ Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Ard, I love your patch! Yet something to improve: [auto build test ERROR on cryptodev/master] [also build test ERROR on powerpc/next v5.10-rc7 next-20201210] [cannot apply to crypto/master] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Ard-Biesheuvel/crypto-remove-bare-cipher-from-public-API/20201210-171541 base: https://git.kernel.org/pub/scm/linux/kernel/git/herbert/cryptodev-2.6.git master config: arm-corgi_defconfig (attached as .config) compiler: arm-linux-gnueabi-gcc (GCC) 9.3.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/3e8de6655dbe9ff7f28c1cb27ba0dc37cea3c3df git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Ard-Biesheuvel/crypto-remove-bare-cipher-from-public-API/20201210-171541 git checkout 3e8de6655dbe9ff7f28c1cb27ba0dc37cea3c3df # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross ARCH=arm If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>, old ones prefixed by <<): >> ERROR: modpost: module skcipher uses symbol crypto_cipher_setkey from namespace CRYPTO_INTERNAL, but does not import it. --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --8t9RHnE3ZwKMSgU+ Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICDg00l8AAy5jb25maWcAlDxLc9s4k/f5FazMZb6qzYwfsZPslg8gCUoYkQRCgJLsC0ux mYx3bCsry5nk3283SIoACdCaHJII3WgAjX4D4K+//BqQl/32cbO/v908PPwMvtZP9W6zr++C L/cP9f8EMQ9yrgIaM/U7IKf3Ty8//tjsHoOL309Pfj95u7s9DRb17ql+CKLt05f7ry/Q+377 9Muvv0Q8T9isiqJqSQvJeF4pulZXb6D32wek8/br00u9+Xz/9uvtbfDbLIr+E3z8/fz3kzdG VyYrAFz97JpmPbmrjyfnJycdII0P7Wfn7070nwOdlOSzA/jEID8nsiIyq2Zc8X4QA8DylOW0 B7HiU7XixaJvCUuWxopltFIkTGkleaEACgz4NZhpbj4Ez/X+5VvPkrDgC5pXwBGZCYN2zlRF 82VFClgPy5i6Oj8DKt2seCYYDKCoVMH9c/C03SPhAwN4RNJujW/euJorUprL1DOvJEmVgT8n S1otaJHTtJrdMGN6JiS9yYgbsr7x9eA+wLseYA98WLoxqrnyIXx9MwWFGUyD3zm4GtOElKnS e2NwqWuec6lyktGrN789bZ/q/xwQ5IoYrJPXcslENGrAfyOVmksVXLJ1lX0qaUmd010RFc2r EbwTkoJLWWU048V1RZQi0dykXkqastBJl5Sg4yZESzDIe/D88vn55/O+fuwleEZzWrBIq4Mo eGhoiAmSc77yQ6qULmlqSkURA0wC86qCSprHtt7FPCMsN/HzGPShaUYMGz3hRUTjSs0LSmKW zwzuC1JI2vb4Naif7oLtl8FSXZPOYMtZO2wxXlcEuraAJeVKdgZA3T/Wu2cXB+c3lYBePGaR uUE5RwiDAZybpMFOyJzN5si1Ck1RIW2cdoWj2RhiV1CaCQUD5O6RO4QlT8tckeLaIXwtTs+Z rlPEoc+oGQ1Vy6dIlH+ozfPfwR6mGGxgus/7zf452Nzebl+e9vdPX3vOKRYtKuhQkUjTbbb2 MNElK9QAjDvkXBRuqjbdPa5jWaGMUcgjCpoFiMocbQirlufOkRSRC6mIkm7mSubcsCPYotlX RGUgxzKmgM8VwMYb0jQexoefFV2DPLoci7QoaJqDJlybptFqggPUNyEecCJN0aFlPLchOQWV lXQWhSmTylRPe43GHi6a/7g3eDEH5R/ow8EzogtMwBSxRF2dvut5xHK1AL+Y0CHO+VDlZTSH +WrF70RZ3v5V37081LvgS73Zv+zqZ93crsIBNTz8rOClcIsIehmwWyBoTjDMI1oIDjNHI6B4 4dbiZr4YBuih3DjXMpHg4UBWIqJo7EQqaEqunZAwXUDnpfaYhbtzyDnahOGu9dEXB+OQsRuK NhzNJPyTkTyipswO0ST8xyW9nYc1Q4+SxaeXRiAkkv5Howf97wGu9gHgRgtzLnJGVQairkcD 0XbPA7jawntySeNNDA3V/r8x4qbeokwOf1d5xsxwznBxNE2Aw4VBOCTg8pLSGryEiHzwsxIG SSq4iS/ZLCdpYrhlPU+zQbs/s0HOIRjpfxJmhIGMV2VheWYSLxlMs2WTwQAgEpKiYKbfXSDK dSatSLFtq9y7cABrbqAQK7a0xApkwbWLFhw0I+XELdsoGjo2TGLH+KSA2A1zi349MFoeDfYK opNP5qRiCpurW51jAi0ax9Q1oBZ31KDqEJh0IoSNMNtqmcFauRWFiOj05N0oFmzzPFHvvmx3 j5un2zqg3+sn8EcEjFuEHgnCi9792MMOFjMc3un/jhyxG3CZNcM18YalQDItw2ZkI82DhIoo yMYWli6nJHTpLxCw0bgbjYSwucWMdjnCkHaVgAdF51YVoPo8c9tgCxEDY3A4boGT8zJJIAwW BMbUrCRg/p3RGU9Y2kVLLYftDLUXU0NlQRsqWQoBeS2olQAegw0kbfRmiRnEQRh5GV0h/1io ArxWR6GHoc8EJzMGNPgQmiUpmckxPAH7SEmRXsPvyjIunVeeryhEw2oMAK1mYQFODTYH/Jdh d1AvD4ssdUojB+BMxdXaTIiBS8B1zMbEHHiEged4SEvixKypEejER16dtRGDDmkC9fNb3StP lpXD8TMiqiKPq5DBHDPIhD5Mwcn66vTSSO80CjovAZuHDtWdBSIaDSU5PT2ZQBAfz9drPzwB Bx8WLJ65oxCNw7g4P5ugwdbi3dQYMV+6/L2GiTUx1U63FSLyE9PrnViwPI/OJmcDOag4dYIz SMEhDl6CgV+GI5vKwIKBgVuTsx8//oB/zn/8CNjjt4f6EcycrqShQe1R/8g2u+/1w0MQ198D 8bDZo2F8Dn573u6waPf5Z/DXZnf3z2ZXB7v6od481zp3+E+TZRkzwiEv1lWs/JNGlPevooAg +FA0Z8BuhqDqfhqYvUPE6sk7NcrNdcohnKTnnj2ykc4mkFKmVEphND+KJKQY7ZP66353F4jN bv/Tz3pwTXfbXfC0GTC8k0nI690ht0ZYMvCJ/mkBDs+qG1q6EwCNE6L957k7BdUYkQzfn11O wLNqPcnliIjo/enpe/86ZmUmFXPriiYBoStNM67o2cQmKFLMyCTKOqJubqoCUgEhkeMTgsBn LBJxI+QT6xVRdnLmXm3DD44uhb2KMM3UFmdKcpeQ/A1mqmWMPt29fXmGhFLstncvt/ujJFJT nL97PzWp+cXJJJhB4EauJ1icEWAxIxOqljFO3p+47SbqC72ZEKNMfDw5mbDpSECQ1PJzBm0J UZWQdu21b4YAQdFItQLriqwb6eDcyt7a3SxmbNAm51TMaREPmuelXFybU2hUfcHUBF+lYMpd BGyMAC9u+IRAKi4niDP4oQruTn4OfKWQ5TBPKaIxxgwmOVDers56hMszNurs4ocRQHU7VEXv fxjt3a6JzNWGwdAp/Bnt9bVUFJLBSKSxq0KkcaQR8WHo1AYXWptA5W7rZ1C3QfCG5cc15pCG aGCbmpdZiCYUo0AbdH72/cJuIWGhIJ+5UHaz0O0pnZHo2oZEwHjIp9hy0EOlYbV8twrZAF2c Xoxb7MATWzFJa2rscrzupK9xGVGxXqdVrAE6cTO/mElcvYPduva3wAS6mtNUWPmbpxkHS0/b lTdFuguj+rfKsrVyCqEZc1sCg3kJz/hAjIDrBRnKViUjzkXHk/AFK+vfvoHtNQt+ZrOZRY8Z t8ykgPCkOrfL2YdWLHc5Fa5DOXPXQDvwqavYprNGniSSqquTH9GJfXCq9T0vqplgvD83nd9g DkZjqwXCZ3Pa0HLm8R4IuvCCfH4SQBd+0OnAVR0gVwAx7BclIXPhYfraGLckr5aQJcbWYiCb hETTVasEuZar7ghKEDMlXrnrLnqYFclVkyKSFJzAjIKO2lKd8bjErD41++ojLbRm1Q3Ey7yI aXF1enrolrJZnmH9A1Jo6/y0JJE+oVgxNceUORLu2i1KOaaxk8CpE5Nh5Sbpi9yoIltA237r shqzZgYy6ErmFJkNakddVbrRSIgTizJynVrc6CJzASGzvnVw8uNkDAmlNAFRFuvD/je3ML/t Q3213/+UJ/91enoBovz0ITCaT2G4+6f7PeQEO1jU1R939fc/Hvd3nx+2t3+f6bYvz3swLlf/ ++XL81kQBHf155evbwZDVYmeBswH64l2TblDgdnT3F36OVBBsXBirJloz7c9R99r6o6gooJI yLHLTLi2pVS8usHqaRwXZjXJ2uDuYC8Q238gPM02T5uv2sd3CS3Ckl39fy/10+3P4Pl289Cc 81leIymGRc/+bMzR+0CY3T3UQ1rjY1WDVtPBbBnNW9NLHrYbPHkLvoEE7IP68eWhu/Gi4WQf YN4NfHiqe2jw+AJNn2sY96G+hei8t/uJoFW+gr/N3T80Vmt3koOghEgF/zqX5J1m48D10h4P SzO0svNwpRTWCXzboKuSN4PjjxYkFyBuWM72nFCHIIm6cOhyRKDLKaWW2YI2FDXd7jZJGVjS BcVSojN+ywbUdAHYJdDuqia0RqlVHF59gpB/BZEITRLIbdDWtmVej3MwA9K2yNjwSnApmRUF otXX/mTI+ebQoOee2few394dbYT2fveoi0Lx7v57U6TvJYkV2YoUFB1DRjzStqqipD3EciLM OJ+Bu+pojesn9dfdJvjSTeNOT8OMkzwIB3EeLsBMSoBvxbVQ3LWzslomAmKgQoLKYKHpanA3 a7O7/et+DzoJfurtXf0NBnQrBFVVYvhi3tTT6dWjFUUcms1Dqaae7GTcn2Biq5SE1HVcpXce vSNe1QJfCx7LulfU3KMaVqub1oIqJwCiSGe7dZbYB0S6Gj/nfDEAxhnBI1zFZiUvDVqHk3FY Ftrb9v7NGEED8XwROVuKobjDxoFbUyy5riQvi4g6EBZgF5pjZgcQ96u5B+Vclp5VGz5UqzlT tL1wYNI5PwshcIbwuFIDIgWdyYqgzcMjjqqNr4gY8rA9yTObdFSI/V3tOs1paKLzdU29lxhX UIm3yprrTd1dQAcJSSM8/DKM+7BB4+p5gLBgJYQbB6/HtSNzuXm4q2mizEBIo+VqwUZgz+2d AZbj3s4AA8LndqmCRiwx76Q0kbXUeoXH5MWIkSg+GqIP6NgNdfHQOm4ZINA1iM1Q8B29Poz3 r7tZqLiI+SpvOqTkmpdmVp9C+F+FwEEwtrFplPBCJ5u1LuR8BCCR7eHaI9BGzpGjg+lyfUsL cpT2kmSxWrtUTYFCKxunDw6GwKlj8Ra5TX7clHrgFCV9JAdhapwdqjWziC/fft4813fB3016 8m23/XL/YN0uOxBA7PbMVJ+rWqemE5QsQcDryiItZ03tpLOAVmPvQg/NVXQd6a1JUZDcqZqB DWELBiIU63aexM7ARqEeZ02jA+FX3GK3FtDWDK+NmO5E362QeKzfVwhapbNKnc0+Njnt8D6F jVPmCB+qcNv1ADQpt8bPU6FsussiOlyM9tz26DA918taMG5VAfZ/CgdPZlZVxiByy43bXBXL 9Jmz+y5JDjYK9PY6C3nqRgGVyDq8Bd5s8TJRNlf3UnDlprcN27trh5+LSkaSgVX8VFJp33Vs b3aF0s0NA+67ZNxfDlN0Vvhku8PCIofnBhlgdNmv9nbugzNEW4XucoZeKXCNC+K56QMIzfV/ UC0dYA4ylyaT2uz29zrDw1qiefuFQPSiw3USL/HymiWiJOJF3uO4q+1s/QoGl8lrNDIw+q/h KFKwV3AyErkxOriMuewxLLGRMRZ9F6MgtycOQdwa8p5weg6SpzBRWa0/XL4y2xLo6ZRmetw0 zl4hJGevMQZ8dfHqPsnytb1eQBbj2acWgybMzV98S3D54RX6hrK4sLokciDMplXQmWxzEYH3 11gNgc8+VYw3F0xjCHzsdzMGcHEd2uWDDhAm7kqPPd4v/R43yikhB9BOwLRj9oUeoiCMiyrI TR3RSw4qysERpEQItM1Y1MJgXttno/Z6qHs0x64/6tuX/ebzQ61fSgX6gtreYEfI8iRTGEda ynBorZJYsMi10Wli3wbEXzobOASH2L292GyY7oa0jAomhokMrrOFJxAuOGaEzY7JGFB8lrQU +EBJ6KdLGOyPRgcHF/UZMc68TWMOu+ljnOZqVj9udz+Nmts4D8epWLe+9NxyHusCBhiqYSqJ WaK+b2lLSHMoIhS2YsYhrz7qP1ZoHA2VTZ+XFBTFyv1YAOxtQYa9FtJ1eNDtpg7xwQZqybt6 d/Lx0joRg7xQZ0QLq5oVpRScCp57uQs2kHopLBZ4rIH7BPhGcM/J701Yuj3xjRzf3xxk+vqy Hmh5QTP7WKIpASBHu2zQXeWjha6LeZ9PzEpRheCj5xkpFk4T4perntWGzsAPcP0zNAOGwCzC phivA8vODuT1/p/t7m+stI5EFeRnQZUtPtgCbom4ZAfdVj9eqZ1iZO26bhv27oPB1BX+rRPz Nif+gmB0xnst1U36SvujcXKAjRimFQnxHS4gCnhtrOKwyB3KaZxGJ6aIwNYyqVjkm39F5oP5 Qvg8aGFClzCMNeA2LqjrpRLL7X1horkbGRHpjhYBoQvjqgJycU/ACWgid+uclinBpoAztPM0 K12JbYNRqTLPzXqFvIZsEUJ6ZudWDfZSua+BIDTh5RSsH8utcshA2BQ/DPbHD2y2yrMvozXq RhT6QZOKRNdsky9j4VcSjVGQ1SsYCIXNwBqWW7JxdPjv7CAXjuUccKIyNEtQhyJPC796c/vy +f72jU09iy+k84UM7OylLb3Ly1Yq8W1C4hFNQGpezKCmVbEz4ca1X1ra1rQ06maxSDdicdT7 FuKABXYk8m33pUNx9VwzJtwXFTWUpcRLUJuDVooG6zi02tQGmmKCJFMjXkNbdVk4+YfgHNKO SIck6lqYj8cR6JlBezW7fUXuUTqNqDfaD5d0dlmlq2aYV9DAYbrP6hqJEuk0oUwMttW0IvhK HuvKY588wBHza116BCeQCXdQBagJS5X5+OfQZKbXzbHWdlejW4bocl/vfJ8l6PuPHH0PSiB9 htCFFGJgXFs4/A9SEF3+d7uNMar/YfcYN+VuAzXG5NKt9Dm+AstzHV75EPCNI9CJ6dKHMRbJ 0UTWDc7VY7MHax3gPwe328fP90/1XfC4xfTNOnc0O1dDKbGo7De7r/Xe3xnvCoPJ1m8gZel+ 2ODskBIpWeK2764OsfTL+wh57lYaJ+qUkoywMWzWD++O7vG6IPW4/2oqefJvSOfJMdLf42PQ SD0BmQsfsI/HFQVfH7/z+hj0eOxIZJ5ysAcdHDMebwivDkCOfPvXpALhQyTMINHnvD50gx8K j90Yo+JrbZofsRktuvDGl0PUODpGq1pcuvS/XHbhS2fg4cCkUT7IHUYYnpDWgToncq6/4HLc 2PP0laHHAfM0dkFyz9srB3p6po4mndJ8ptxhvwt7yIIpZF8s4kQ9xka1uDqw4p5LjY4OeXKE Oz9gez2vA3WVH2OzG+SJnNqFvVD/Ru0/ldzzwMCBfLQVbtHp4M3FNHL0L2yKjI4XVInfYjme cleAOL5D4StXObCP9QctNvj2Y3HLc/cji8kg2KpXSA+XALS0ptzU/sV/T8TWZtDYbABmEu/c i0laHzyJEpdiEo7BK4TnU+Cp7gX9E1/5DFF6FgAOE4fY1mQOQFqfO/d2dXoWE1SIZkNfoaCU mchqQJsPjeh2oZNe2ATZfKavrrl7w4x9MtEjwaS89AuyGk4YdunAxyHgsJghwJxodxo0IYGt iH6//PdC6i41WELqRWmF1AvvpcyL0grqpZOjl34xvHxVDg0MWrLLdyaXDVhSkJkHhLGpBzRP PQBcS3NC5Z1v5qkemjiT+mHiKe8wspgcx5ms2SguVbs8TtcuLWWzmxsdMeR6Smz7sUMHS0wF 9UbTaOt9DrSIPddLmO/VvHL7eG8sOf4cQAtoLp/q5JoMS9ix56XiMiV59eHk7NT9PZQY7JfH q6Vp5H5STBRJ3THl+uzCTYoI9yUXMee+4S9TvhKeF7GMUopruvB4K6qazze5lxy5vkYS5xI/ B8XxA5Cm/IawfURfTHES44LmS7lioD5u9jdm0xvQ6JKUt7yeCc+ZAq4wl+4h59IbOVfNTL31 K6x/nIMSSgycfFifCuUfII+kqzysDxLWVVjK68r+UFL4yXpXjN8M+tPxccX27DDY18/7wdMX pA1B/ejDda2xGPUcAMzjSIOJJCtIzNyfwYz+n7JraW4cR9L3/RU6TXRHTG2J1Is6zAECKYll voqgJLouDLXtnnK0q+yw3TPd/36RAB8AmUl6D66ykR9APBJAIpGZYJjVya7o1q0dxMoJfEMJ K1PyPSgGLJBOkvLBrYXcJUFmF5bAxTxv1tc+FowvixSjHkPfui6AJEw9uQM/WWsgpNgs9mB/ jK9RkpeCaN8PsGrS9wErTuqarudJoh3cnv58eH9+fv8+u3/4z+Nd48ZgaW2gsjzcFSdBmMjV dNEbKIt8Yrk9MHVadVzaPVUn77jIeh3RkFhxXOALnwFSIRumQOywLrGry7pFPHbni7Jf613G nPkwdS+7p5/oF5EzABYLPkiLTgFnud9PP8ufHtvE+ZlsVlzc9Megc3SjBtrYUOQOX5JBZ/bV DcdsQi5hHkT6NqKbmfsD7AvOgN1aws+Hh/u32fszOJg9/ASF4T3Y1cxixhXAMNKqU+DEq7RU ypsUYuf9y/CTvYQyFRcU9jchYSsLS9aWsDdhIa4l4UEGWiJ8JiR7vPMywcA0mqxEuMdp2F1W s1GKQjuRG1baeSqrp4PQtUXsWRiBrRhSRFAcizSNmv2v7xFQ7wHNJZWv2aZzx2raxhXndi5o POYh6/+tzKUrHnYO+fzT3fX1fvbb6+P9vy0rVI0XKR+E26xJEGKhtOzsawK+xCn78Me7uuaz FPHm1THYtK8+IZ+dizjbY0u2ZMvEZ+DeYFQ01yW2jmoqcHXT9NYz7On5eq98ypqxulStV20z RmWRs7YciOfcjWyDroxIA2jtOyRm992BGn4a+rDVNW2t1JRpOBg8W/ZybWdBuDw/D89kbypA cM6Ja2MNgF2tLkbKhHEvelYn8QOMqZiENVh5iyFNbIOqgbfOqUibONC2K8GQVdpoCXrptDfH nMei2FWHUOzk+R9fF+JjCEIXvjAb5RrLTCrnPe+FxWuphwQdwriwnQoKX3XOUCfWWc2+XF/f ets9ZGP5RhneEl+xjHNF/5tsL4aZLUQb6GQUJTlLOb4jqIH1b9MO1ZATBBeK9f2tirtYvF5/ vtVuzdH1b9sIWH5pF91IbjSDd6pEbX3ZTaOC2EYoQkhS8r1PFifE3se3ERGTmaDCaUpE4lVd TllWArG1sQ78+tgxYJmcxZ/zNP68f7q+fZ/dfX98wURFxRt7IpSPpH0J5EmXmp4AAMPSHZOH sYsUno6VYw9Jj+qOUpc2VVarCh0kze3zr2wqUTvZAQNm34nBfUAT/5nuMm06fH15gWNPnajk H4W63kGsGptFa+cqaCSYnAwmHXiPUb7Qiq62SJocsaLX7s4UdaKeOiTkw9Pvn+6ef75flfWE LHPkRAFf9FnB9hEjTs9qPPkxcxc37oqI/gZcLQp3Rc8IEQ3aZHXZGFX+jJHV6uBCM/szxX98 ++NT+vMThy4aSE12H6T8sED7fLo79Xlcyh42n0BKE5vXXh2SAGgEZ6tsAecQG0YeuuNeiHoC IlckzIxaT6KLyjFWys7W1uh15vrfz3Ixvz49PTyp5s1+19NH9sXr89PTYO1WBSKh0Voa7ND9 lg9RcRnii26LgJBC44jROKUtiuVMsKFbVvz4dtfnD4WHf0Q4USi4DaUJPxLWumoyZGHV7wft GMK5ZLt/S0YzwkEhQ2b5RCB5Wo0OMKUqOcp8P5/9Q//vSpk/nv3Qdu3EoqAzUC3QxVTJGV+n pr+GdAghYQH9tKM3suOtFLYHIl0NwCMDKWdqiPJbO88r97Q6UHB3ktFJmE5Cuxhi7o3JKYrg DyQX92HP+tErBHwqLY/KLlW5dejXL7zhl3TUCsDhOoga5uc72gtS1XiCTq28qjmgZuT+GS9B 7irKNwpOt+Of2A1nguSsYCaMkGiNhCfTK+Jsr2j6XgVXfJpltjMdO0owf6UC3GYprsyT56z4 FiIJ4MImF9uFK5ZEcMog4VEqQBEoD4vnkHqVgWW+2Hpzl1FW9CJyt/M5Hq9VE4mQoFJMEmku qkKCVkQ0tQazOzobIsRpA1EV3c5xnc8x5uvFCr828YWz9nCSXL4L2TNyrcsWyGsPXR0o9iwh WnlZCX9PBaly+7Nbr8CBlIljKxhfM2yKIrnaxe9YOjp+5VPTdfDFMUTMyrW3GS1ku+AlLoq1 gLJcjiKkYF5522MWCHzgalgQOPP5Ep1Ova6qQ/X8dX2bhT/f3l///KGC7b99v75Ksekdzn2A mz3BTnUvJ97jC/xqdnERVn3teRvh5/9d7pBRo1AsYKsZ5WYFCl1C9QrXCQwUTVk0YB0dmzSW wss/IH62eggP4aOzXNkpDcRYEcbQ8CMh/oDrgDyhl9XggqA5QJgLnqVkDH1LTpV/DhoIvv2N 7DsQT5Tjf5xaUmbOQh8eEkOf0IEMhi8SZPfNh+FUinoWYN+qKlUN6k/PIETe7Bc54n/8c/Z+ fXn454z7nyRH/mr40dY7jDC0ovyY67RiuBkLw46kxR1MvX+bSlxvqlrL30EXSShUFCRKDwfK CEwBBIdL1n5AtK4XiobxrY1LZ5XS1KDXbcieTyFC9e8ESMBLh9OQKNzJ/0YweYYV0xzAes39 H7sfL81LcMbmBxTKvURTlTqLDkmmMKe9OHLi4QzFrn0ld3+IddXGDvy6nCPd7t50a0XYwpgp IGhJOWuXQlCiPDejKgFJRTrpHFzaw9vsv4/v3+Vnf34S+/3s5/VdSuazR3gV5ffrnbUuCyiG HXmInquMT8mC2qkqy7zrf+zuz7f35x8zH1yIjQ8ZJexiI+gOfBcvSMGaqInZJMwQ6gvWj+2u ywjTT88/n/7ul2M65ELW5kqlVyLSLdaNx+/yFP3b9e6P2efZ08O/r3f4sQvntcbhpPcuVyP0 Ku8bkCINhVoYdutYUue1jitp4lOrj5JtUQrcLx5OjHiYK/h6YlH4jbZSroqA0uIwDlY5+HTN SNK5pChwvUDcUexYHpyIpxQOhP2RrJ8gxEjZLljtU+JKsTjhFZTp1VmNjHpzk8h9pk5OSRRT 8VjyvvlSowl7f3387U8QKIScGnffZ8wI0mRxY738fDSLcYcJYbp6nvDnIPHTvFpwW19bXxMu +GqDS9MdwNviXN8UzSLG87AI7MdKa0mtEMScaXPH7Jt5sWmRfKTKScwj1NrFzCmnQlKYV68m Med4+kmu3PbTMypFntA9D41QbWTe5Snze328W+Jdu+MxzA/8ZKvD2hOKD+ODnPlB71E9OUsw OzIr0zk8xWjreZjnJ9tyQXjbvyaazVUoDavT/HhLPT3h9xo9LC/4Bno7tIJ7ljOfWe8t7AvZ ZOrpn31xGFKRYk9fwkKcEEbbx+cvjke589fZdehUtMLHE7sEIUoKPXdVljgJjHVQSsxyKczY it1zjBsamdlkHpaklpFAHJXiMtjQTPL+MlFqyHNb6LsRnrfCFS6aJIvFrDd6haY1A5jaGtf7 ssYHWRJLdympE6OsShZBjA9HwgqaFkAgzDTGxzgJLavXsCoPEOI9YYcg1mH9pjjeW2znCPOx klogWOl5my1ma97YhMAGZB6Z5MaAhngxapHJwzfEy0QbCXKFshM0qvkV3jMKKK+vPJ5sdy67 Rp5J0A/mYKGaoyTBYnGyL2REedgFfR0nkjMwg7maBIhMtpc/+BCLWFjPK4qYbx1cZdPY6wCC b3HFmiIS+eFTfSJWXw7X0yW+0YtC8bpV4yKGCHDTPXSbpJncf6zV/MKrMjr0BnqY90xstpfw W2JHa9Ep1WVFLdwtYDE1q7WO0Sy81jqyMqSZs8ZEkZSHJ9tVhjkuOQHBzTC9Sna8ledtcwKq BzcgfSAWyoPCDNLp+2EpBPVzGlpyeLeCItYyEA3QC8mOBDQyDQ3g8WrpLOdjgE1ZlmN0b+l5 zihgM1IAD6UcRDexFk9Iui/lobEGhjyLToIkR2VBZ4V9vCov7JbOLiSXFs7ccTiJqTf9Sboz P9AYtVePktWu+wFEQQ9Vu8WSCB0An9E1SUr5hS9MroD0iH8d/QT4rxbBzQhd7To0Xe48o10B SzRNLAJnTjz5AKchua6EnP64n3kLz3VH6QX3HHoMVAlLb5y+3kzQtyT9LI95QgQkvV5aD3JZ c3P4d4wfpVS43a5iLBIQSLWV1qp0ehSVuDuJXoq2nTSXWw0Mix0jNCwawCH2bkjtEgoTnylD f00WnIOuZ6h2UmJ5/OfT++PL08NfekmvbX3FyGIvqVWZccLCb5i13XIywzlD/gFhW/thmSDZ DyDeIi70A33EOQ3IcUZ4qSsiuOqD8TSFSDFNAORUSvZ+VZURa0HEGBZRiAWGENGRN0Fsjs9v 75/eHu8fZjCEzZUF5Hl4uK8t7IHSOOOw++sLeO4N7lUkSLuzKYNag/uAwFnB7ZQbeegrjnZa FhyYOPWy5kXkOau52e4uGZcdgS7PchsP9dQAqvzRwn+v8rDXO5uSImwrZ+OxIZX7XGmV+pWs aVWAvqtlIhIeY5n12bhBkI1tSol3hNFPOzjxdk3c9jcQkW+pFzMNiDcFkXN+syIeEzZB2ynQ IVq7c2zxawAJyAbegEGUc1lErUsNIuZi4y3G25JDqLPqmBIOU+YAiNNOoCe6BvSNnfKTQPmk 9NyFMyeNUBrcDYti4pKmgXyVO//lQqicG5AUvFZOSfNCmB3HqiLCIAedH3H6Bsg5Wk9wCT9u qQf02on3lTu2V1Bz/IlYYp+XtFNRdUGfuQR4q8H0Yyn8dOcwi1bY6tniSD6oZGeLTXWUSTJU ngiVh4KnOKmn4uqTchFaiiVgUIYt92bGTjmGEQM/ZGTPmFonhJwz2yPIomlxkyCa1+smwXyp xkwvCPy3W99UlJgkdcYLElsDW59Qc3bLh/4OgfIwm10ewUnsl6HH6a/gifb28DB7/96gEEGF moTA2ZibVXcsEj6R8zyUosKfL3++kwYPYZKZz6qoP6v9HqJFKyc8K+Il0MDNl3Ih1gihniO4 oYzHNShmEDS+D2q9LZ6uUlxrL1etXqvzp/Dgw2g9vqS3PYBFDs4968cmmboO13SWxer9M6Kf Ka82nfkmuN2l2rut0+vWaXLhyVYrz8OVvzZoOwEqbgh7yBbyVW6LhNGchSGs5gyM6xBq5Rbj 197w+drD7cFaZHQzWXHSatpCKDYlAgW0wIKz9dLB7ctMkLd0JkZFc/NE22JvscDtHDuMenl3 6lvlZrGa4IC4f/wZALLccYmLhgaTBJeCeqyhwUCgBLgCmfhcrXGeABXphV0YflrpUKdkkklK cgIYq8f40gGhsPBTmIaoUDRoyBNNTk/8KOQR3Xy5y0gEm7AsyIvQtHgw6cyXsufSCnJskzfe ZoMrSfownFcsGAgo1eClaAx5knMrLHmI70wmdHdynbmDc/wA505Xkt96vIiZs8SXmyH04Dgf gRaFyOhrvCF2+TGwf5swOciTuCOLM3EMP1BiEBDRzC3QgUXgzx7kIfGqj4Uu+YK6aDZx9QXv JO6Qpj6xEFptDn3qQVMTFkahZI3p4sRa3G7W+Gpm1e6UfPtAN98Ue9dxpydXQBnu2KBpFrgw 0J9f5LF5ug0aS5n2mki5UTiO94Ei5Wax+ggTxLFwHNwaw4IF0Z4JCF7+Aaz6Y5oRkqAktn2r tJuNgyt9rJU3SGLwR5keOl+KwsWqnOMigglVv+fgjPMx6CWc5pwPLrMXv1C3Ox9hCaVtS6UA K0JCgTmoaSgFvOk1vBBcLTnTYySR7sAWn8Th8uIQNz1ZIR4+EeHLXEnCKCBC+dsw8aH+FoXj 9sNTYrCTemKENuu3wKW3JgJkWf2SifVqvplePL8Fxdp1p4f4G/3GutXP6TGut/TpMsOvgtLw WZ+GJ25DTF1bi3OhbV1Qn9T8jbPEC9eAnRQmiDNQfRZclHPZloKSguuvx/KEMFqOOpHs5I5H nec7lB/w1J+GncNdjqv56rYXoQpxUQQ497XHUXlYT2rkGLAsvuACWqMUkCfimLoU0ZjbgJEX GxrBY2eOmUlq6kmrKoYKCb73KPtLo8fytGD5Ldg6TfQv88toMco3kmvd9Xas+3nMSLFKI/z8 7K7npZT+sv6jPxhyvfowcjOKzONwKL/qu57r672KzRJ+TmdDlwxycT+wOBgGl66v27BCOzch RDGlv/n9+nq9g4ukzquxWRbMkGpn80Fgbb8MYeoToZ+xFyayAWBplYjk5DTiFV1QdJcMb735 1pPL8CzV1quywrb80X5yKhlh7Ei9kgKRY+r3W+vIB6+P1ydDYWgMAYsqz1X3XcNEuXZkecDl LPTrV4vNp7sMnLNereasOjOZlNjhVkzYHvTImA+wCeICr0uSVycVy2WJUXN4sToOWgj6ffXS mE8ocax2XyYhAX7zZdWpcD2PMCkzYJjbRfL88xMQZYoaOnVLijjN1eWo1+A4PIsKD38FcUje HtUZpCS/oAy9LAi2RdYAWe8BN8g0ePtRcRRG6yZB/3MwcFFPhrQR9gOORuJIqYLzhLD8aBHO OhQbQmaoQTserxfjkNqw/kvBwBVktPNr6BQs3JfrktCENiXlRBgeTd6LqIqyqe8oVJjso6Cc gqowVqOfFFnfDaYNF2KtQb1hjHmRR2pbNbfjmphot0Gf8rCRx3BBRMeHsAOUtYJ6fkQK3oQE cTxziPs71lj1MDMRYUF+tcpyueDhpZ/DXK6nDefiW3AWh3LnTfwIjY0n9w54djy1LvLbRBXw Xm6wMbFOdcAdWy7wE32HKeF2Nke8w7QH3x2yu3Z9dZtwpa4n5AeIzQeBc5eUeNMBCD2dlOld SrzKmntalCnJ+jedLEdYv4valihTbqhOVS/g0UHlCi5/MjwyyFBAMYvVI5qf5PwDB00dKm8w GnB+HF7HuYZbjfyjUvpsOd1TO1k9zWq/ygapRwmm7sQkHX9XESg62J8SRRoxBOrXim8QVK6r bFf/v9/eH37MfoOQc3Uwp19+PL+9P/09e/jx28M92Ah9rlGf5CYJUZ5+tS7zoNZyUtLXOoDw AxEeEhX4cDQkDmCDODgTZx5JHf1MSl9kADnjuIukCSlZf0xgH5XyKOHHBwgRxgXhlwdkbQ44 YJ/gL8l+P+UaLTGfRQwDdK2tr5CrZtWLYQqX3idCbwGQPN2lxf707VuVCiJeKcAKlooq6EfN MQFhctv33lfVSd+/ywp2VTY4x/TaI3mv13PFCTfgUcTRTtcRIUlFfgeBh2InIGQcBGOGG/kW mLW8yCwnGHB+pyxLgKaD6vVz9FY6fZrIwll8favj6dcOwVj8MOVvr2QdfNkGcqnd8oPkECZ4 xwF5zGoU6LXXHUnvpjsJASNnEIHIOBgSQ851IKaaSYnuHUaEhdTGrpksVEqnXijWc8JpBRDh PiS4Ug0gFTQMiCW4D9HUwTJhkb/dJl/jrDp8HesxFg9DGCn+6Wxw0WMN1Pw0XKIga/b6/P58 9/xU8+CA4+QPtWMBGSJD7Ri/qciI5IAqomDtloS4AR8hlwIhpTZcmhJ4epYNrYGyIpvdPT3f /YF1jiRWzsrzKg4B/obLuLYk0u4uM7B6SahHQQ2Touv9vQpTKpd/9eG3/zVXz2F9jOqECQjv CN+reGIqiAqXkouUYJTa7NjJHfA3+OT0E6q9XIwysIVTj539a+W4pgAGKyQ5FdU3BgEsTCLX Vjr9pOrsNIJK/bL5j+vLixQ31KeQHVBrVy/UixWK3MTzHRUyFDLeeWtBKNc1IONeiVoYa/MU W1BQaSMzWNHBiWnfvyyzX3fH+qAV1lTqw18vksmwvhkzP9JNAsMTQurvAO5IC6QEtV0tpgCE yVENAGXvSAlFFnLX69/7Gxtyrxc0B+39kd45FlKqHHJw0/PDvO3iN9HjSmdDuUEaXY6f9zSA LxaeN9ZhoUiJh0M00+VgUEHEDB02QRvoScEOaVqdC6H2Oe1wyIMDI4NRq4bJxZJ44/KC94e6 g4C3XgijY00XpyyLsG3/eNGh4Y3ztExo5MQj8i5pomPNIGtNG1PO3yyIC3MDsvwIBJ+XHSR2 5oQ5l43BL1RtDH7dbWPw2yALQ+gpTIxDmDAZmK1L6RFaTCF7eRqz/BBmqs4SsybEOxMzFWxQ YSbGQiymShF8s54adSmy7xlE4EyKPCUChLflZQGpbq8hRZmNf1AeqQQL84pTtk8NUKleIErH OEqsJ+I/QvzFiU7YbxxvvsLPsybGc/fEqaUFrRabFRFsq8YcopXjERpOA+POpzCb9Zw4inWI cVY8hse1Q/ivNJiw8Mbn4Be+HP+KXFhzx50YJYjuz4gHeVtMwd3tcnxWaMyGtL7o4yYDJQJu O1H3gi8dIiqHiXGdybovXXe8MxVmug+WLnnVYGIw15gGoczDHMe+hulI6/l6vBYK5IzvAwqz Ht+7ALMdZ0ElKG0mek6DJrgdopJOrRYKs5hs2Ho9MS8UZiIwrcJ8qPUTPBrzbDElART8/xi7 sua2dSX9V1R5moeciUStnqk8QCApISJImouWvKgUW05U17ZcXurezK8fNEhKINkN+uHkWOgP INYG0OiFUhy6lJJMFWPC9Xauexcn39bKuScn9iIC2bGzKUBnCR1rRHYcLRTAPi8DSZyrDUBX JQl7BwPQVcku1iQpDylXQFclb8bO0D4tNGbUwQA1xt5edSeeDjsYF2BGhPJthQnVjQwsaqVI qUvEBcozxYDsXQCYacd8UpjpjBLsVZhYe+qwYiLO9/Gsc/vS99wb4qIjqVfMKne6zDq2IoXo YBYKMfxPF4Lby3ClpziyfSw9ydsX0DbGGXRjJhuHuCtfqixTPprKz4E6VlYBmw87uHeaZem0 4/CQSjnp2G0V1x04M3fWeRFMpzPnE5hpx7VB9easY4aIkDl9+zYJkI4FoSBDp3PjIvT7LoCl 5B07bSbjQcf61RD7LNMQe/cqCOUz34R0NVnGY0LvuoKss4HTcV/dzIbT6dB+pwHMbGC/9gHm 5jMY5xMYe6s0xL4WFCSYzsaUY+oaakK9Q11RE2e6tN8NC5BHoPRORNjabCAAtxuhz3jg0yJK UzFv6EKlmP/JOZcMhQPBxBcCTXiwefh4vtMRyixxk3xXyxmIaRRLwQu5MHG70/lZ5symfYsj RAUCJ1c3fYIVaIB7M54O5AZ/CtLf2cZOnzZzAIgERQsiJpVuqeD45NMNddlNnxBOQ24gjx3y QmlAbFXUEHx6V2TiUn8h400oyZRCuyYHIV202oaH4GXM1r4KYx2D2JkQ0kEQpMf0IABZlRwH RGQlVbi4TSfEAwOQV5605Z7NYkm5JrnS6cHR9Alhj1bMv+1gNCYuHiVgOp0QHPACmI2sgNkN Ye5yoRNS3gudOLJc6fgOp+nZhDrBV2Rb6V7oO4O5xKeP93MLL0CE92qVfS0gSFJEaRYCJPEy 3EoRiOpUPVbrh+5dNb5bC5NKsnHfkjvh42xM3DWAnnrcziVTMZpOth2YwJlZ10gqx8TxQ1NX u5maozgfYPPtuN/BydNdyglzGCBnoEUwHI63YJjFiLiTAAzi4Y1lngfxbEo8RpafCaRloFkg iVANYBc16I8JoyNtNEVZDdssqnSlNGBGRBe8AIgrfdUs1XDLLqSLmE06ADdEEwyAfZu6gGzb gQIpdko882SbQF3rLJNJASb9Ucds2wQDZzq0YwI5HFtWZTYNJpMt4YAO6HwynE07ADdDG+BW bi2jzhLxMwqZtb8rjK27N3I2suxeijwc2PfmEtLxkeG431XKzQ1+H9N7tPbZKQf9fYvPV0/m ttPptTAI0xCQr8SJjZeCq6I997h+7m3ZJtVQCKKIefF6ePlzunvDdHpcJEYGU2mmPnXZVjO5 CNb9eng69n59PDyAGl7TvMmfV6GQrzovKi2MMuHvzKSaB/cqKrhqEBaPEwpV//kiCBKPZ7WS gcCjeKeysxZBSLbw5oGoKRpDSarjxSLce6HqQXwvUCgZuV6pWIyzYoXJRKA/kDXieLS76k+l DopcY1RBdj8kCpAOXH14pegNu54rYTPo9xvtB9FP7pNF5S5+GYQencv9YpuNxpS//bm2NciJ 6yT0auVKnQJoj2Lp0iPUIKD6AkL/oksTnZ1FuPLD3b8eT7//vENATO6SDqUUbc8DlqaV69G/ NUqULGqKrpAYjPx+3xk5GSF80RiZOrPhwieO5xqSrRXrusVvkAAQgbhxiOtDRR8SN12gZ27k jPBHWyCvFwtnNHQYzhoBYdUrAwCT6XBy4y8IjwNlR6gTysq39NVyq3g4fggHcpTJoeOMsekO qpaBDinaGMKruOGCWGWuMx5aCyncGeHZte/7DeWj6YpjbjybETeOBop4VDLqI4fUw94VROoq GuWsx05/GhAxSy+wuatOmvg4GDVP+JaHIboaO9ZcFQrr7fyoYwa+PB6qiEztdVkE++RNs1Y/ YdKb577vJZhhHkJWkyJTuwiYS0mW4MZaWDYwwAaj1E9ncD31K/HUumMrr+0LrzLFsbffmPpR U5G/LKG1018kdFFejzedIsGOl2rLbXW2SqypkglXjXiWeclun2aJFy4I35kKmDDcmjVfons7 FF2qrV7sh1+Od2C8BxlaRsSAZyMdZ+ipXkHGeU57YykQCWpApGmx2lJaRUIi4cJE03Pw/UiU OPeClQibRc69LIr3PhYQGch8qabM7mqSXKQJ9WvXLIlH+YLRdZOMsyDAp7fOro+PNFm1LBNr b5/O++O6BpuJ2sVJw8siJKtJsIjCRBA+ygDiybTRC3Vy4Cn+aiFj8W405efKa3XVwpNzQQhd NN0n9jRNDKJERMSLJQCWUdCwM6+R12LNApfQ0hcg9NvZp+1qR3djzhVbEPhdB+gbFmREbOqi bt4mjUKBWfTotu8SzfOaHQoBF+hKUb55gPaDUY4/gJptRLgkTuRFX4WpOmlT/kwAEvCWe8s6 3QujNb5BFstGdSftXq+ABHCEtdB3vjp90AOq9gS9QIhOL2IoRH5WZwMyAre47cmtXa7bZ1BI +F0raAkR1Rmo6maJulAAWsxCeDpSy8Ot+W2/JttWOObFqkbOWLALt83WxooXBkQ4UE0PGCiK hpT/EI2BnZ8IlK2HRxVgmd5JxDnDLydATpmg+6yKXNRolVZcJb3LaAQZtrGkegGYidfvjyYi D8FfePPDCWU+BIsffBex1LJJpOoAlf2IdlAyvaaFZbkp5pRSOruavgQz5MJakGaCcOjYxynx LKPZoG032YqQcFoK1J9eElkbCJ6ZuY0hFM+w+yVh7KlPEkFMf0Dy2GmpGFQ2Dshh6WLkgJ7t wIcanO9aCwsfhRLeMHKrfWJ+VqkXQ7nWkU0HRJi79cACmsXqOhhmF5bCmrDaHUKb29baeqm+ Ng5vNs200jWzXbz+mB8wKh1B8F2Q9qjTfSE7MhzogNv4QhZXTwSrx7plho7REIChKTGrimxh 2LrLGfTS3C3dL7lb+2DT/T4LQ8VnuQfucMsLcdsEECKSHx8fD8/H88eb7uTSE3h9GNWVhqnt Zg8iMZFmzUb56gvg6kyzUEHIsnQ5u5DBk7UUYUQI13R/Z/jOVNLAB62b8ywQluAFgHNFCt5u tUeeBGIPNZai2VvqDpHmih+H6hjrBWz33alP27CKLaJn4vntvcMsWY/lZLrt9/dUGGuAbGFq 2QBeFyDagtO6ZWwFiTQeDCZbK8ZXXaZKsmJAp3fkDOwVQmpsLpYAghjB7G1M2AtB1Zaa/QWG t2JNJDM2mYxvptaKQdFgj6slvChXK72g88fD2xvO0JgOaWIkaO8r7SApG5eOWZLJdlT5MMq8 /+npJmZRAhYH98cXxZbeeufnIhb5r4/33jxYaXcwqdt7OvytPFocHt/OvV/HMrjN//bA2tYs aXl8fNEhb57OrxBj/OFcb1OJa41HkWwJtG6iymgInTiXZcxndPySCuerUwi1eZs4kbq2aBsV TP1NnN1MVOq6CaEa2IQRyjAm7EcOHpKj7s+ygOUuHf2kgkWhR5/3TeCKJbK7uPISD4Hfefd4 eKHqxPnEIfR09N7G2hsMrCrxdPgNQSZaTvE0R3H5rN9vHBLgJgShNeozUljcXWt264bEWVAX qlmAS/iy0rvThtDwKYl0XCawsxSuR/c58N9pXRp86R7tdQ1lNoUDqHrflE6hrrKz+miV/rGQ l5I2iomEw/7YiUtWw8EACzprgNpiL4PIl0NCDd8AbZbqArX0GHY1NGCuWAgQ+nmBdt9IfTFu euBGMOUCkDO0iz0ZewuU4mcuuMSIUOJa7V4JShExu8UJON5zF1UTaSIEjsG7wJ+RTnzrqIZp OzLZFD/RY4u1aUN8XuS5vdTKi2vsMrToko7TglTghGguwN0e3mmSZ/tcdQpRZf1G2dVhMkqn U+K1rQGbESbAJmybkw/9Bixka4nGvTcwceAM+0OiaVEmJrMxrphkwG45y3EJiQkqQ0J34dKY x7Pt2F7rlPntk8eVtI+ZS/nSrDE8CNyFe2FD0Ds5jzD5vYHJ8PnFd3Mv+cH4CqWWAYMxEoQu o8Ymbr4vIRgZikZk70YJnJBEmNUDicReds62jUiX84jwlGT2Y5pT7j3N6ZJ1MqE8dqczv09Z QZrcv3kYvWyj9assup96Ukyc+uioJGfSujq7eWZdBuvUw1TjgRh4iygDSXT9O0H7vlNtP3w3 5RPsQboAaTX9emHCvYpRzAscbEtkcAfdMHjYUrfiOCCi1WjAXvpCO8cBv3yE7bNuE70swZsx 97S3b0oRSjck2rAkERYE6T+puBunXlZc6XyxzXLL2VCk8GrtE2+UCrBTualt0Pupu3fb2jeW uY666YwHhJqdBqWCwx/DMaH7YIJGEyLGgO5wcHCphs5L7P2ixi1K1faJrpP4z9+3093hsRcc /uJO98IoLmQT3BO4VgpQC3/uNlEWHHopLzD6vhA0FfoMYR9RTXNYFkydgVrCqCK149ZqgkDB DJWfG0BoJzxvbupioZJa3ZHCHEIIgDJA+t3wJZVfNo+2H9brsBxfTy9/jq+qxVfBUlOg5MM0 snDcSoSTEwrMus6JlQwu5Agt49wQtFjzE7rG+ha2tn4dyEOL+Am+Te8mc5dbS1cbqONM6fyF dAvpPnNeouNUY/VifolVUufbflt85KtNdB/M64nVhGmmVuF46/kRqL+P5t62meYhH9ehXZup OjZsM1GCYhUhKir+9PHr/+Jw//v43nt5Pd6dn17Ob8f73t35+eH0++P1gMia4d2lsUc3Qyqr hLKOjbUPBI9wm6vnfjPgcGst+y3Rop+HHM5nqKu3YtbUOqb2ucvgNKpRSg0togzeEfCmKEfN p72kOfCieCW20FtvJDWqO1/gSgSaFbBN2WnkYuke+muR2S4mvMnqj+lwBxuR1cVfJUJKw/2w +rGfg9NCJKl8efg+u5aeQjB30iU55GzutcXLieTfUvcb5P7McwCUQzlGBVrDsR4kpe6SEwrv QKWU4eFD+DEHSOuc3ECAnKdLQoFeE92lmKiRoPPzW1udl+ktSZOEC3PpSTqkITxtqQMtvgBA RgR2pyIQhG92of4NxZyF2FuF5zK+V6dXeK9KeZIbDiQ1qfXol2R8X/iZvHwAkrRGKvp5F+w+ 8Xc5RVIHCeMx7jpddyHXJxaqSJVvL6O1Vyrf22BLjzWfn8vF2/i+0an51nZ/yAkdVFAOL52W Y2y09FMvvTA3u69KllSpboxpA68hLkW7MJ1KhfYuqKCAk5ZPvGUMlPbCP929nt/OD++95d+X 4+s/697vj6Na/+YjdGUw0gG9fn6ReDvSO0bGFoIwB19EgesLQueIL5NIXl2P46VLL1A3xmhr cxFeeFcNDIaqfsA7VBBFq9wMQFMC1f7mxcwMpFG8hpeFXGt4SYWz182I8DtjwFIxpkTJDRTh u6KOGuGXLQOkdmJvSui1m7DU6YMJIhaq3IA12Pxyo9h4iDrY5doRbnr+eK2ZwFebJcRd2Ee+ EYNVp8SJOvjVhilNuF5ArcSqKpU+MvY9Y5owEcwj1A2/al1ucMPCCun4rM7Jdz1N7MUHdQrQ /oJTRFND5weXnwsdm3YfxIxwbt5EskSupzgD66qAwdEgmI2sG2Xq+iXHp/P78eX1fIddkovY Y6q/8asCkrko9OXp7TdaXizTiuPhJdZyFhrT6uP/lRaxDKLnHocoBb030Ax6UE2/nkIKQ6+n x/NvlZyeOea6HiMX+VSB6txGZWtTC7Ob1/PhXh36WvkqphapE1nC1d4+R1uL5i9eyrfxN//1 eHy7O6jxvD2/ilvqIxBzJuFELIyucnRBp/+WW6rpLZom3n4cHlW92w0vc6H0er/UD+w68/b0 eHr+D9XOwgPzfs1ztKVY5ose2aem0PVTsQQFBD/x8JOct804ZWWtFgxhdiGI/T3etO0VRXLb g3AcmNKXmk17oGOd0MpnfD4GT+3U9qs981Z+SAMkIEq83Cm28quIFlJzlly55V4ShyUQFiwk SZ+ry90KrGtBxEiiwN86BOtwZqHUYsRuFJRnReUpvirrTTXygcCb9IDA2/E04uPrw/n16fCs Npun8/Pp/Yx66AfezDn2NAKUWObmDmYr0xhOREmBPd+/nk/3tS+HbhIR+oMV3DhPM2xnDMuo PubPwml8tU0uN73318MdKEdg8QkyIlKJtlRumuJUOoztIg2GGC8I16wiItxdBYJ026ZFGOrv 0OP4oZqDojch5ZCt2HHV1aPQwXJNpuqfFIsuZl2N8a1ZIFyWeYrT79V5M0VDWCme5Oz9mqyo TNpvWZbh1VOI4d7H261oI4qWeELVQhVN0H/QpC1NWvipQ9EibiHOM0tdQhFYsvpOK+el/XDU a/ZokVaKWaIYywjXVjCuXNVCUEoIupapvaFJN/ZxiH+a7FrvpCZCXS0b9/wLrWmG7jYTRJGg +F49OI3PLJfo2zzK8NUEyqR+Ss6Rgkz2u6oEOdaqkerqvUckrfxw9+fYOP1wxpe4vXSJLuDu P+qe+M1du3qdIctMpNHNZNKnapW7fotUfQcvu5BxROk3n2XfvC38G2aNr1+GICsW72WPV/lq KesmBH5XGssQNTcGwexoOMXoIoJHTpCBfzm9nWez8c0/gy/mBLhC88zH9Sd0A8hFliFDXbE6 Ww8U++Tb8eP+3HvAegbuHrV26wTwc5MFjUToAdBhFmqZmfNbE/lSBG7iYbvsyktC8wvV5lXd OWVc5wI6Ady9ie2ecdwXQIFpcd7rKdEvrRBr0gP4n+5I03YA6Z1LORChVj/s7dLMk7VaRgkL Fx69Aplrofk0zdMsiqIu6YyKBJYmJBO31HVuqQ7Fv3/4Bdu/9m+VUoiov/db6RvFW0s7Z7Mn r3QQJwIH9jEOXMDSXILhNZqfmg4FAF5CQFVCcf92hOAC8rMheS1Sg5+YInlBS0Bi0iwmyeci bJfDtU+QsKESg0BiUGYQGdLIgp6Kn7hswwT5bB3lCV53njDpG29zxe9i1y0iDl1PXwVJZoRv y9ucpUti7qwthxEpQrW8qR1KWqZ5TNNuw+3ISp3Q1MT20Rhe5gj//bt0Te5plnWVtHfvitmX MbDqjKciVvzL+L12Gr9r+ntFSpOTmsRRE55uiFtYAd/jQlEgwrGjDPvthmjjShBsCur+4YaN tlXWNrkbG+JA8xvYM8tCx8eNIYqsYSqmp3PjJ7S29sGLhVU1nnmYxNyI661/7xd1Q/UyldYP 4V68pMaeC4oQuYzeM6jpEphdGKTVUeP7l7sXdV75YpKqg8xeEWrdatIop9V1EOEyvAaaEXr+ DRAuRmiAPvW5T1SccqfSABFTvA76TMUJj6UNEP6C0AB9pgsm+CNDA4Rbp9RAN8NPlHTzmQG+ IfTH66DRJ+o0IzxhA0hdL+DgvcdP17ViBpT9SRNFTwKWciHwxXipyaC5wioC3R0Vgp4zFaK7 I+jZUiHoAa4Q9HqqEPSoXbqhuzFEDLAahG7OKhKzPS6AuZBxb5lAlgwi/0pC37VCcC/IBC4U vULCzMsJ1f8LKIlYRrmNu4B2iQiCjs8tmNcJSTzClq5CCA6avkSo+goT5gKXzNW6r6tRWZ6s Gm/MBgKuxbXQ5QGhfxUK3rC7LCki2m9uTUluTdxXvHQd7z5eT+9/2+bJYCVifh5+7xPvNget YEQAUh0LC0tmNfCQIxHhgjjsFXInT/trwSGKsHeX4MmvcJpCuXfnOdwMILhEql8VskQQctMK ayWiJwr9AK+jqYeqyiDOAieJexaoExRrXP5bMFwcpY5xIBpL1ZWEin0MDrK4LgbuL4XrRKRy lSDl2hXMUNsKUvn9CzxC35///fz17+Hp8PXxfLh/OT1/fTs8HFU5p/uvp+f342+YCF9/vTx8 KebG6vj6fHzUjhaPzyD3vs4RM87q6fn0fjo8nv5Pa55dJ5A2XFdN4Ct9wauFN4WgJ0G+ECG4 vwKLc4+tdDtxKS0Kn+8SD3eHYsHDiKF5dG3VNViP6KVHCaloBQZbWhJbj8Ta7KWKTHfy5SWx uUSvV1S1gKLKfJ6//n15P/fuwBT5/Nr7c3x80XrONTBEL2exMK+5RrLTTveYiya2oemKi7im RtsgtLMs1T0ZTWxDk3CBpaHAy2m/VXGyJqs4RhPbRYDIpA1VzF6dj9ptL9Nr9g0lqTnb0YyX ux+oShp3mhK18AfOTOZB67thHuCJWE30/7ArZNXmPFsqdt0qD+pUzb7449fj6e6ffx3/9u70 RPwNTvT+msLuaoBSXLZfkl1sOyxpHm9XwuPuEmmTxxPX/qFU4mfOqlPyZO0543E9oF3xqvnx /uf4/H66O7wf73ve8/9XdmRLjSPJ9/0Kop92InYZ7KZp9oEHHWVbbV1IMgJeHG7wgqPHQGAz y/z9ZmapZEmVWTAd0dHtylTdlUdVHjRgjFz8v83+8cjb7Z7vNgQKV/sVMwMBayptlpRsya1P ZsBwvfFJnsU3o69CzNP2eE6jctTP+TMYurqMrpiZnHlA2K7MkvpkuLR9vu96lpv++AHXywkX BcQAq4L7pOK4bdsjn/kkLngr3AacTXiPoQacQ9dd8Gshi4yhCeqmLoSbIDP/aORYLXhhzYys LCM7/s9stXuUJhzkRZtU6kJrCB8M8Qo+s9oONw/r3d5utwi+jtm1RoBzIq9nUsy2BsOPvbka O1dLozhXBDpSjU7CiIsAac5Uw2isvcCcpgEZDk+Z75LQ9UkE5wgDnkfctBVJOBLScXUwhPuY A8b4m2A42WJIcYsNCZh5XC7QAxRasDn5zPs24jgIAHiNtqW1bnAFcpSfCbeGDbOZFoMEbH14 neuuaXpLnkT2KfJUyfQeSgemYcNNmNVoC2zNhwGYC1PmlHhoBhxxxtQtBqpT5nsb9o0tPWPa CoX4UA14Qv86l8GLS8+9bQwfcvGWIgflj9skyan8WVVn7BQ35YcZamIcb19e17tdT99op2ES e5XiGMctfxHRgM+F9K3t14JJcwsWPDwahNuysoMFF6un++ftUfq2/bl+1ba1RouydmlaRphE O+U8XczYC3+q7fOH80gQ4hd/2RuHYB8Qa0IK2LfEDobV7o8IoxwrtPHLb5g1QSl4CarHh+23 iEad+BRyIZj3D/FQpbEWp9Go/tj8fF2BBvf6/LbfPDG8OY58gbIg5BMsDNH0yfoQi5VKbTzD 2UDajm7VxX/Yyj4jTB66xgufNrbAO2Y1t/PU1dKrgESiaO/cfS0iVn9y6lYhEDmhOL7L6TWv 7nvlTYJRSQAFr5nQR85e//XrHq11QZbfUZiv3ebhabV/AwX77nF99wu09b4DEb5L4npjKPey vf9ibwU+UzdVHtu773DX5pFFF7MefgQsFX2COg/xxmoWuG0a5DfLSZElxjCLQYlVKkBThTY7 Udy7HgyyIhTuXjE8LPlw+7yTkr7d82K7pTyI0DnB63jCUJhGfC0Nkvw6mOknzEJNurpxACoW 0J1e0WjAMoOlLTX2wFG1WHIRk0jw7e9lKAC+F0+G/ox9hDgKlH9zznyqIRJ7IRSvqD3BYVVj +MKFNECFlzSAiIDvzDDQ/ZrRBgJemi28NMwS98SgbQn6CsY9myQqNVy8M1nXt1DKBdY2u6V7 Gdse8zILIh143SsKr2OaiKE+YW91DYl1EQV/6u05LA+TTjoc+IGWmJ03ZqVCKoXv6NpWDXZs U4W290Fpxu+l9EEQDC72CgTOiGMyNZSqWuR26y28Ul4RZnVqo2BBmqWm7mXSGyBCC6WLDu8N UIi8UfKuLaexnvJOPZfdQxxnPcsh/O3aDWmMtko2EdCuomen3bqi4hLZF2e+kVHE6SkQ4G7c /0kGg7Y8S7G07P9cnr+fWyVAPLrGq1h49i7kSCXo93fh/Y6gOSxTjA3JKB7Q09SNguZCy9N3 XhE0fRSyCiF0dPIuJI9uJivFgTsRRuP3MS80EwZIfqOzd+GaoOkhd01VouNDFg82eJohgC6p OqYpQPcG+xbff9Ipu9Na9mtx1f6Dh+HtVPryunna/zoCSf3ofrvePXDOwxR2YE6+ghILRDhm kOBvfZsUJyC0xMC34/YK+7uIcbmIVHVxauCJKkt8ordqOD30ws+yynSFYvGyfTWxhGVDnh6G FTqyFYcwFhhgqaIA9C6xo8/g7xUm7yxV94VSnOxW79v8sf73frNt5KQdod7p8lduaXRrwGU4 qz+V0u16skAlfKa6oQ0oA82y9or0YnQyPu3vrxw4C7qcCL6/BagT2pGyFKKkK8xMjMnOgVmw ZEx3u1QUIgOtbhPMHN3Z+AMI9XSZpXHPRLKJw5MVgWrjbQDRxlxtX8fcZS2dtNqDo6nHn2fk jFIO56Upl9qq8cEtx9w9Oe869+mV7Hm9Ngc0XP98e6DIp9HTbv/6tl0/7TtqGaWcQHG8uOw6 Q7SF7YudXv0LoIMcVhNihK3BxGnD5/A0UBdfvljzIL4i0xTPp2GPOeJv/nXfL4dWBANPXOek 9LeTtjAcnkQ06TaOU81rZVtZX92Y6pDfaSm5i+gKEZEkA54WUsjdOhVUeALD9sI0KoL2rlup eccqDcz8HyqQEsLHC9+g8cMgDBTjxEVs5hPER3xbto+BgTi6qJ/GF0i1+U4AQQobLIyeTvTJ Ud8V96p0ED41js4laPfXlWSw2SXkZkpP3xwDC6iVuQe7tRNDtw9FE15kzWkGWFEV3cJhCENK eNRhAdYWtCZuNvBF1Q8YiH+UPb/s/nUUP9/9envRFGW2enoYaM0pnGO0eOedqXpw9IRbqIPh vgYin88WFRQfViubVKiKonxO+dCE2HtNsrTZAuah8kp+QetLoMFA1EPhTpwi8+nWWNLgngtt +ANE9/6Ngup0znpv62mfhb8GO9I6FgdDBabK4drhzM2Vyt1HOy+USnI7NhCOpUPo/rl72Tzh KyUMc/u2X7+v4T/r/d3x8fFvh8GQ3xzVOyW50LagzgsM69L4x7Hdojpw5I5Oo9a4qNS1cA3f 7F0mLMXwoH1YSV1rJKBTWZ17Qu64pld1qQQpRSPQ0GRqrZFMuJ4Ylu6DunCO6Z62kb/5tqlV OCMYW1KOuXgYKCvMt9ty4qjKSPx/Y+t0ZT2gvhVa0vP9Q5kL5m65SDHrDpwZfe3hmKK55kwC +fqlefn9ar86QiZ+hzeCjDgrZuhozs8H8NJ1+MgzM5Jy9GquSdkGUPIvFozvaI8KCUMathoU MH9pBVKV7YJZBAteIgEArL4XO7YQony4zxAJjcP4ujpIIM4uSWJvWcB41IXTVukFqoJCdVly ypQJP9IbnHXULxuJumBk6b4+RUcKxDO8/+aHiTdqaXAzSGDXFWtaHYEG0rmM6UOnhZfPeByj G07MVMjAZR1hvEE1LYftaHBCbu6AgHfLAxT0xqRlQExSRoaVBM2HupaObyXVHfTj2NGNQeuG ZxcSgazJCahfk8BRJjLNKD1MIcAJHh1ZjSIaRKVuVoXD642ganCso7J63fJHheI6VOEiyfV+ 4aMupnWUgmL6kZIn2K41tMlSMCjyhVdUI7umKFCh8PRjNOAkwhBiboEBSTA0sDyX3Bj6aHl8 MnJpD4Q0wRWHYgxP4hgsSMRBvAhBB7zHef8du3BcfvmHXSFChlOjuzO7KUELPT0ZneAfBgPF c8D479lYwsDKUTKeVN0IuUMEkMB5y/YhYu7FCSbfYDeJcRs9DH27unv8/e3prnmXP37s6MN4 2XnTXDuxFLC/Z7s3cdV6t0dujbJr8Pzn+nX1sO5u6vkilezwGyaGt09ZAR39oe9L+KtI7bHO 4QyP5jzIriy9BrQZKG4oS957Ykd8jpcAScJHMWQ1SEKGMfW0gI+PiKWUxEAnXIpSCjYoY4jf +0ayIeHKwRt9tM5xwPHpo8ziDEOxiVhESK4w/L+zslwVyGJFuHkLcAuENPCZukZq55gZfU+s rep5YcfglYFgxE8Ic8CohDAvhEB7n39pJLi+w5bhi4UQTJag1/SwJcMxtgXSMhmjQOOLSsxY o6dTss8gaCRkWdL7eM4LxGbsmZCqkeBXiayb6MkpKUW4a4H83DX5+F4/0/nF+aDsE+CJ2M+l D9LTLPEKXntrwuUXCWgFjonUcSQc45Fv5pvtSE4hoteM3pJJ5tgxIDgEHmxLZyOoyQnE1VTi RiDnCLzNk+JjJqKy5iT/lueEfq35P+fNRJ25XQEA --8t9RHnE3ZwKMSgU+-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============8148660828550651770==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH 2/2] crypto: remove cipher routines from public crypto API Date: Fri, 11 Dec 2020 01:18:42 +0800 Message-ID: <202012110108.bZjYK1Bf-lkp@intel.com> In-Reply-To: <20201210090524.18880-3-ardb@kernel.org> List-Id: --===============8148660828550651770== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Ard, I love your patch! Yet something to improve: [auto build test ERROR on cryptodev/master] [also build test ERROR on powerpc/next v5.10-rc7 next-20201210] [cannot apply to crypto/master] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Ard-Biesheuvel/crypto-remo= ve-bare-cipher-from-public-API/20201210-171541 base: https://git.kernel.org/pub/scm/linux/kernel/git/herbert/cryptodev-2= .6.git master config: arm-corgi_defconfig (attached as .config) compiler: arm-linux-gnueabi-gcc (GCC) 9.3.0 reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/3e8de6655dbe9ff7f28c1cb27= ba0dc37cea3c3df git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Ard-Biesheuvel/crypto-remove-bare-= cipher-from-public-API/20201210-171541 git checkout 3e8de6655dbe9ff7f28c1cb27ba0dc37cea3c3df # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = ARCH=3Darm = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>, old ones prefixed by <<): >> ERROR: modpost: module skcipher uses symbol crypto_cipher_setkey from na= mespace CRYPTO_INTERNAL, but does not import it. --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============8148660828550651770== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICDg00l8AAy5jb25maWcAlDxLc9s4k/f5FazMZb6qzYwfsZPslg8gCUoYkQRCgJLsC0uxmYx3 bCsry5nk3283SIoACdCaHJII3WgAjX4D4K+//BqQl/32cbO/v908PPwMvtZP9W6zr++CL/cP9f8E MQ9yrgIaM/U7IKf3Ty8//tjsHoOL309Pfj95u7s9DRb17ql+CKLt05f7ry/Q+3779Muvv0Q8T9is iqJqSQvJeF4pulZXb6D32wek8/br00u9+Xz/9uvtbfDbLIr+E3z8/fz3kzdGVyYrAFz97JpmPbmr jyfnJycdII0P7Wfn7070nwOdlOSzA/jEID8nsiIyq2Zc8X4QA8DylOW0B7HiU7XixaJvCUuWxopl tFIkTGkleaEACgz4NZhpbj4Ez/X+5VvPkrDgC5pXwBGZCYN2zlRF82VFClgPy5i6Oj8DKt2seCYY DKCoVMH9c/C03SPhAwN4RNJujW/euJorUprL1DOvJEmVgT8nS1otaJHTtJrdMGN6JiS9yYgbsr7x 9eA+wLseYA98WLoxqrnyIXx9MwWFGUyD3zm4GtOElKnSe2NwqWuec6lyktGrN789bZ/q/xwQ5IoY rJPXcslENGrAfyOVmksVXLJ1lX0qaUmd010RFc2rEbwTkoJLWWU048V1RZQi0dykXkqastBJl5Sg 4yZESzDIe/D88vn55/O+fuwleEZzWrBIq4MoeGhoiAmSc77yQ6qULmlqSkURA0wC86qCSprHtt7F PCMsN/HzGPShaUYMGz3hRUTjSs0LSmKWzwzuC1JI2vb4Naif7oLtl8FSXZPOYMtZO2wxXlcEuraA JeVKdgZA3T/Wu2cXB+c3lYBePGaRuUE5RwiDAZybpMFOyJzN5si1Ck1RIW2cdoWj2RhiV1CaCQUD 5O6RO4QlT8tckeLaIXwtTs+ZrlPEoc+oGQ1Vy6dIlH+ozfPfwR6mGGxgus/7zf452Nzebl+e9vdP X3vOKRYtKuhQkUjTbbb2MNElK9QAjDvkXBRuqjbdPa5jWaGMUcgjCpoFiMocbQirlufOkRSRC6mI km7mSubcsCPYotlXRGUgxzKmgM8VwMYb0jQexoefFV2DPLoci7QoaJqDJlybptFqggPUNyEecCJN 0aFlPLchOQWVlXQWhSmTylRPe43GHi6a/7g3eDEH5R/ow8EzogtMwBSxRF2dvut5xHK1AL+Y0CHO +VDlZTSH+WrF70RZ3v5V37081LvgS73Zv+zqZ93crsIBNTz8rOClcIsIehmwWyBoTjDMI1oIDjNH I6B44dbiZr4YBuih3DjXMpHg4UBWIqJo7EQqaEqunZAwXUDnpfaYhbtzyDnahOGu9dEXB+OQsRuK NhzNJPyTkTyipswO0ST8xyW9nYc1Q4+SxaeXRiAkkv5Howf97wGu9gHgRgtzLnJGVQairkcD0XbP A7jawntySeNNDA3V/r8x4qbeokwOf1d5xsxwznBxNE2Aw4VBOCTg8pLSGryEiHzwsxIGSSq4iS/Z LCdpYrhlPU+zQbs/s0HOIRjpfxJmhIGMV2VheWYSLxlMs2WTwQAgEpKiYKbfXSDKdSatSLFtq9y7 cABrbqAQK7a0xApkwbWLFhw0I+XELdsoGjo2TGLH+KSA2A1zi349MFoeDfYKopNP5qRiCpurW51j Ai0ax9Q1oBZ31KDqEJh0IoSNMNtqmcFauRWFiOj05N0oFmzzPFHvvmx3j5un2zqg3+sn8EcEjFuE HgnCi9792MMOFjMc3un/jhyxG3CZNcM18YalQDItw2ZkI82DhIooyMYWli6nJHTpLxCw0bgbjYSw ucWMdjnCkHaVgAdF51YVoPo8c9tgCxEDY3A4boGT8zJJIAwWBMbUrCRg/p3RGU9Y2kVLLYftDLUX U0NlQRsqWQoBeS2olQAegw0kbfRmiRnEQRh5GV0h/1ioArxWR6GHoc8EJzMGNPgQmiUpmckxPAH7 SEmRXsPvyjIunVeeryhEw2oMAK1mYQFODTYH/Jdhd1AvD4ssdUojB+BMxdXaTIiBS8B1zMbEHHiE ged4SEvixKypEejER16dtRGDDmkC9fNb3StPlpXD8TMiqiKPq5DBHDPIhD5Mwcn66vTSSO80Cjov AZuHDtWdBSIaDSU5PT2ZQBAfz9drPzwBBx8WLJ65oxCNw7g4P5ugwdbi3dQYMV+6/L2GiTUx1U63 FSLyE9PrnViwPI/OJmcDOag4dYIzSMEhDl6CgV+GI5vKwIKBgVuTsx8//oB/zn/8CNjjt4f6Ecyc rqShQe1R/8g2u+/1w0MQ198D8bDZo2F8Dn573u6waPf5Z/DXZnf3z2ZXB7v6od481zp3+E+TZRkz wiEv1lWs/JNGlPevooAg+FA0Z8BuhqDqfhqYvUPE6sk7NcrNdcohnKTnnj2ykc4mkFKmVEphND+K JKQY7ZP66353F4jNbv/Tz3pwTXfbXfC0GTC8k0nI690ht0ZYMvCJ/mkBDs+qG1q6EwCNE6L957k7 BdUYkQzfn11OwLNqPcnliIjo/enpe/86ZmUmFXPriiYBoStNM67o2cQmKFLMyCTKOqJubqoCUgEh keMTgsBnLBJxI+QT6xVRdnLmXm3DD44uhb2KMM3UFmdKcpeQ/A1mqmWMPt29fXmGhFLstncvt/uj JFJTnL97PzWp+cXJJJhB4EauJ1icEWAxIxOqljFO3p+47SbqC72ZEKNMfDw5mbDpSECQ1PJzBm0J UZWQdu21b4YAQdFItQLriqwb6eDcyt7a3SxmbNAm51TMaREPmuelXFybU2hUfcHUBF+lYMpdBGyM AC9u+IRAKi4niDP4oQruTn4OfKWQ5TBPKaIxxgwmOVDers56hMszNurs4ocRQHU7VEXvfxjt3a6J zNWGwdAp/Bnt9bVUFJLBSKSxq0KkcaQR8WHo1AYXWptA5W7rZ1C3QfCG5cc15pCGaGCbmpdZiCYU o0AbdH72/cJuIWGhIJ+5UHaz0O0pnZHo2oZEwHjIp9hy0EOlYbV8twrZAF2cXoxb7MATWzFJa2rs crzupK9xGVGxXqdVrAE6cTO/mElcvYPduva3wAS6mtNUWPmbpxkHS0/blTdFuguj+rfKsrVyCqEZ c1sCg3kJz/hAjIDrBRnKViUjzkXHk/AFK+vfvoHtNQt+ZrOZRY8Zt8ykgPCkOrfL2YdWLHc5Fa5D OXPXQDvwqavYprNGniSSqquTH9GJfXCq9T0vqplgvD83nd9gDkZjqwXCZ3Pa0HLm8R4IuvCCfH4S QBd+0OnAVR0gVwAx7BclIXPhYfraGLckr5aQJcbWYiCbhETTVasEuZar7ghKEDMlXrnrLnqYFclV kyKSFJzAjIKO2lKd8bjErD41++ojLbRm1Q3Ey7yIaXF1enrolrJZnmH9A1Jo6/y0JJE+oVgxNceU ORLu2i1KOaaxk8CpE5Nh5Sbpi9yoIltA237rshqzZgYy6ErmFJkNakddVbrRSIgTizJynVrc6CJz ASGzvnVw8uNkDAmlNAFRFuvD/je3ML/tQ3213/+UJ/91enoBovz0ITCaT2G4+6f7PeQEO1jU1R93 9fc/Hvd3nx+2t3+f6bYvz3swLlf/++XL81kQBHf155evbwZDVYmeBswH64l2TblDgdnT3F36OVBB sXBirJloz7c9R99r6o6gooJIyLHLTLi2pVS8usHqaRwXZjXJ2uDuYC8Q238gPM02T5uv2sd3CS3C kl39fy/10+3P4Pl289Cc81leIymGRc/+bMzR+0CY3T3UQ1rjY1WDVtPBbBnNW9NLHrYbPHkLvoEE 7IP68eWhu/Gi4WQfYN4NfHiqe2jw+AJNn2sY96G+hei8t/uJoFW+gr/N3T80Vmt3koOghEgF/zqX 5J1m48D10h4PSzO0svNwpRTWCXzboKuSN4PjjxYkFyBuWM72nFCHIIm6cOhyRKDLKaWW2YI2FDXd 7jZJGVjSBcVSojN+ywbUdAHYJdDuqia0RqlVHF59gpB/BZEITRLIbdDWtmVej3MwA9K2yNjwSnAp mRUFotXX/mTI+ebQoOee2few394dbYT2fveoi0Lx7v57U6TvJYkV2YoUFB1DRjzStqqipD3EciLM OJ+Bu+pojesn9dfdJvjSTeNOT8OMkzwIB3EeLsBMSoBvxbVQ3LWzslomAmKgQoLKYKHpanA3a7O7 /et+DzoJfurtXf0NBnQrBFVVYvhi3tTT6dWjFUUcms1Dqaae7GTcn2Biq5SE1HVcpXcevSNe1QJf Cx7LulfU3KMaVqub1oIqJwCiSGe7dZbYB0S6Gj/nfDEAxhnBI1zFZiUvDVqHk3FYFtrb9v7NGEED 8XwROVuKobjDxoFbUyy5riQvi4g6EBZgF5pjZgcQ96u5B+Vclp5VGz5UqzlTtL1wYNI5PwshcIbw uFIDIgWdyYqgzcMjjqqNr4gY8rA9yTObdFSI/V3tOs1paKLzdU29lxhXUIm3yprrTd1dQAcJSSM8 /DKM+7BB4+p5gLBgJYQbB6/HtSNzuXm4q2mizEBIo+VqwUZgz+2dAZbj3s4AA8LndqmCRiwx76Q0 kbXUeoXH5MWIkSg+GqIP6NgNdfHQOm4ZINA1iM1Q8B29Poz3r7tZqLiI+SpvOqTkmpdmVp9C+F+F wEEwtrFplPBCJ5u1LuR8BCCR7eHaI9BGzpGjg+lyfUsLcpT2kmSxWrtUTYFCKxunDw6GwKlj8Ra5 TX7clHrgFCV9JAdhapwdqjWziC/fft4813fB30168m23/XL/YN0uOxBA7PbMVJ+rWqemE5QsQcDr yiItZ03tpLOAVmPvQg/NVXQd6a1JUZDcqZqBDWELBiIU63aexM7ARqEeZ02jA+FX3GK3FtDWDK+N mO5E362QeKzfVwhapbNKnc0+Njnt8D6FjVPmCB+qcNv1ADQpt8bPU6FsussiOlyM9tz26DA918ta MG5VAfZ/CgdPZlZVxiByy43bXBXL9Jmz+y5JDjYK9PY6C3nqRgGVyDq8Bd5s8TJRNlf3UnDlprcN 27trh5+LSkaSgVX8VFJp33Vsb3aF0s0NA+67ZNxfDlN0Vvhku8PCIofnBhlgdNmv9nbugzNEW4Xu coZeKXCNC+K56QMIzfV/UC0dYA4ylyaT2uz29zrDw1qiefuFQPSiw3USL/HymiWiJOJF3uO4q+1s /QoGl8lrNDIw+q/hKFKwV3AyErkxOriMuewxLLGRMRZ9F6MgtycOQdwa8p5weg6SpzBRWa0/XL4y 2xLo6ZRmetw0zl4hJGevMQZ8dfHqPsnytb1eQBbj2acWgybMzV98S3D54RX6hrK4sLokciDMplXQ mWxzEYH311gNgc8+VYw3F0xjCHzsdzMGcHEd2uWDDhAm7kqPPd4v/R43yikhB9BOwLRj9oUeoiCM iyrITR3RSw4qysERpEQItM1Y1MJgXttno/Z6qHs0x64/6tuX/ebzQ61fSgX6gtreYEfI8iRTGEda ynBorZJYsMi10Wli3wbEXzobOASH2L292GyY7oa0jAomhokMrrOFJxAuOGaEzY7JGFB8lrQU+EBJ 6KdLGOyPRgcHF/UZMc68TWMOu+ljnOZqVj9udz+Nmts4D8epWLe+9NxyHusCBhiqYSqJWaK+b2lL SHMoIhS2YsYhrz7qP1ZoHA2VTZ+XFBTFyv1YAOxtQYa9FtJ1eNDtpg7xwQZqybt6d/Lx0joRg7xQ Z0QLq5oVpRScCp57uQs2kHopLBZ4rIH7BPhGcM/J701Yuj3xjRzf3xxk+vqyHmh5QTP7WKIpASBH u2zQXeWjha6LeZ9PzEpRheCj5xkpFk4T4perntWGzsAPcP0zNAOGwCzCphivA8vODuT1/p/t7m+s tI5EFeRnQZUtPtgCbom4ZAfdVj9eqZ1iZO26bhv27oPB1BX+rRPzNif+gmB0xnst1U36SvujcXKA jRimFQnxHS4gCnhtrOKwyB3KaZxGJ6aIwNYyqVjkm39F5oP5Qvg8aGFClzCMNeA2LqjrpRLL7X1h orkbGRHpjhYBoQvjqgJycU/ACWgid+uclinBpoAztPM0K12JbYNRqTLPzXqFvIZsEUJ6ZudWDfZS ua+BIDTh5RSsH8utcshA2BQ/DPbHD2y2yrMvozXqRhT6QZOKRNdsky9j4VcSjVGQ1SsYCIXNwBqW W7JxdPjv7CAXjuUccKIyNEtQhyJPC796c/vy+f72jU09iy+k84UM7OylLb3Ly1Yq8W1C4hFNQGpe zKCmVbEz4ca1X1ra1rQ06maxSDdicdT7FuKABXYk8m33pUNx9VwzJtwXFTWUpcRLUJuDVooG6zi0 2tQGmmKCJFMjXkNbdVk4+YfgHNKOSIck6lqYj8cR6JlBezW7fUXuUTqNqDfaD5d0dlmlq2aYV9DA YbrP6hqJEuk0oUwMttW0IvhKHuvKY588wBHza116BCeQCXdQBagJS5X5+OfQZKbXzbHWdlejW4bo cl/vfJ8l6PuPHH0PSiB9htCFFGJgXFs4/A9SEF3+d7uNMar/YfcYN+VuAzXG5NKt9Dm+AstzHV75 EPCNI9CJ6dKHMRbJ0UTWDc7VY7MHax3gPwe328fP90/1XfC4xfTNOnc0O1dDKbGo7De7r/Xe3xnv CoPJ1m8gZel+2ODskBIpWeK2764OsfTL+wh57lYaJ+qUkoywMWzWD++O7vG6IPW4/2oqefJvSOfJ MdLf42PQSD0BmQsfsI/HFQVfH7/z+hj0eOxIZJ5ysAcdHDMebwivDkCOfPvXpALhQyTMINHnvD50 gx8Kj90Yo+JrbZofsRktuvDGl0PUODpGq1pcuvS/XHbhS2fg4cCkUT7IHUYYnpDWgToncq6/4HLc 2PP0laHHAfM0dkFyz9srB3p6po4mndJ8ptxhvwt7yIIpZF8s4kQ9xka1uDqw4p5LjY4OeXKEOz9g ez2vA3WVH2OzG+SJnNqFvVD/Ru0/ldzzwMCBfLQVbtHp4M3FNHL0L2yKjI4XVInfYjmecleAOL5D 4StXObCP9QctNvj2Y3HLc/cji8kg2KpXSA+XALS0ptzU/sV/T8TWZtDYbABmEu/ci0laHzyJEpdi Eo7BK4TnU+Cp7gX9E1/5DFF6FgAOE4fY1mQOQFqfO/d2dXoWE1SIZkNfoaCUmchqQJsPjeh2oZNe 2ATZfKavrrl7w4x9MtEjwaS89AuyGk4YdunAxyHgsJghwJxodxo0IYGtiH6//PdC6i41WELqRWmF 1AvvpcyL0grqpZOjl34xvHxVDg0MWrLLdyaXDVhSkJkHhLGpBzRPPQBcS3NC5Z1v5qkemjiT+mHi Ke8wspgcx5ms2SguVbs8TtcuLWWzmxsdMeR6Smz7sUMHS0wF9UbTaOt9DrSIPddLmO/VvHL7eG8s Of4cQAtoLp/q5JoMS9ix56XiMiV59eHk7NT9PZQY7JfHq6Vp5H5STBRJ3THl+uzCTYoI9yUXMee+ 4S9TvhKeF7GMUopruvB4K6qazze5lxy5vkYS5xI/B8XxA5Cm/IawfURfTHES44LmS7lioD5u9jdm 0xvQ6JKUt7yeCc+ZAq4wl+4h59IbOVfNTL31K6x/nIMSSgycfFifCuUfII+kqzysDxLWVVjK68r+ UFL4yXpXjN8M+tPxccX27DDY18/7wdMXpA1B/ejDda2xGPUcAMzjSIOJJCtIzNyfwYz+n7JraW4c R9L3/RU6TXRHTG2J1Is6zAECKYllvoqgJLouDLXtnnK0q+yw3TPd/36RAB8AmUl6D66ykR9APBJA IpGZYJjVya7o1q0dxMoJfEMJK1PyPSgGLJBOkvLBrYXcJUFmF5bAxTxv1tc+FowvixSjHkPfui6A JEw9uQM/WWsgpNgs9mB/jK9RkpeCaN8PsGrS9wErTuqarudJoh3cnv58eH9+fv8+u3/4z+Nd48Zg aW2gsjzcFSdBmMjVdNEbKIt8Yrk9MHVadVzaPVUn77jIeh3RkFhxXOALnwFSIRumQOywLrGry7pF PHbni7Jf613GnPkwdS+7p5/oF5EzABYLPkiLTgFnud9PP8ufHtvE+ZlsVlzc9Megc3SjBtrYUOQO X5JBZ/bVDcdsQi5hHkT6NqKbmfsD7AvOgN1aws+Hh/u32fszOJg9/ASF4T3Y1cxixhXAMNKqU+DE q7RUypsUYuf9y/CTvYQyFRcU9jchYSsLS9aWsDdhIa4l4UEGWiJ8JiR7vPMywcA0mqxEuMdp2F1W s1GKQjuRG1baeSqrp4PQtUXsWRiBrRhSRFAcizSNmv2v7xFQ7wHNJZWv2aZzx2raxhXndi5oPOYh 6/+tzKUrHnYO+fzT3fX1fvbb6+P9vy0rVI0XKR+E26xJEGKhtOzsawK+xCn78Me7uuazFPHm1THY tK8+IZ+dizjbY0u2ZMvEZ+DeYFQ01yW2jmoqcHXT9NYz7On5eq98ypqxulStV20zRmWRs7YciOfc jWyDroxIA2jtOyRm992BGn4a+rDVNW2t1JRpOBg8W/ZybWdBuDw/D89kbypAcM6Ja2MNgF2tLkbK hHEvelYn8QOMqZiENVh5iyFNbIOqgbfOqUibONC2K8GQVdpoCXrptDfHnMei2FWHUOzk+R9fF+Jj CEIXvjAb5RrLTCrnPe+FxWuphwQdwriwnQoKX3XOUCfWWc2+XF/fets9ZGP5RhneEl+xjHNF/5ts L4aZLUQb6GQUJTlLOb4jqIH1b9MO1ZATBBeK9f2tirtYvF5/vtVuzdH1b9sIWH5pF91IbjSDd6pE bX3ZTaOC2EYoQkhS8r1PFifE3se3ERGTmaDCaUpE4lVdTllWArG1sQ78+tgxYJmcxZ/zNP68f7q+ fZ/dfX98wURFxRt7IpSPpH0J5EmXmp4AAMPSHZOHsYsUno6VYw9Jj+qOUpc2VVarCh0kze3zr2wq UTvZAQNm34nBfUAT/5nuMm06fH15gWNPnajkH4W63kGsGptFa+cqaCSYnAwmHXiPUb7Qiq62SJoc saLX7s4UdaKeOiTkw9Pvn+6ef75flfWELHPkRAFf9FnB9hEjTs9qPPkxcxc37oqI/gZcLQp3Rc8I EQ3aZHXZGFX+jJHV6uBCM/szxX98++NT+vMThy4aSE12H6T8sED7fLo79Xlcyh42n0BKE5vXXh2S AGgEZ6tsAecQG0YeuuNeiHoCIlckzIxaT6KLyjFWys7W1uh15vrfz3Ixvz49PTyp5s1+19NH9sXr 89PTYO1WBSKh0Voa7ND9lg9RcRnii26LgJBC44jROKUtiuVMsKFbVvz4dtfnD4WHf0Q4USi4DaUJ PxLWumoyZGHV7wftGMK5ZLt/S0YzwkEhQ2b5RCB5Wo0OMKUqOcp8P5/9Q//vSpk/nv3Qdu3EoqAz UC3QxVTJGV+npr+GdAghYQH9tKM3suOtFLYHIl0NwCMDKWdqiPJbO88r97Q6UHB3ktFJmE5Cuxhi 7o3JKYrgDyQX92HP+tErBHwqLY/KLlW5dejXL7zhl3TUCsDhOoga5uc72gtS1XiCTq28qjmgZuT+ GS9B7irKNwpOt+Of2A1nguSsYCaMkGiNhCfTK+Jsr2j6XgVXfJpltjMdO0owf6UC3GYprsyT56z4 FiIJ4MImF9uFK5ZEcMog4VEqQBEoD4vnkHqVgWW+2Hpzl1FW9CJyt/M5Hq9VE4mQoFJMEmkuqkKC VkQ0tQazOzobIsRpA1EV3c5xnc8x5uvFCr828YWz9nCSXL4L2TNyrcsWyGsPXR0o9iwhWnlZCX9P Baly+7Nbr8CBlIljKxhfM2yKIrnaxe9YOjp+5VPTdfDFMUTMyrW3GS1ku+AlLoq1gLJcjiKkYF55 22MWCHzgalgQOPP5Ep1Ova6qQ/X8dX2bhT/f3l///KGC7b99v75Ksekdzn2Amz3BTnUvJ97jC/xq dnERVn3teRvh5/9d7pBRo1AsYKsZ5WYFCl1C9QrXCQwUTVk0YB0dmzSWwss/IH62eggP4aOzXNkp DcRYEcbQ8CMh/oDrgDyhl9XggqA5QJgLnqVkDH1LTpV/DhoIvv2N7DsQT5Tjf5xaUmbOQh8eEkOf 0IEMhi8SZPfNh+FUinoWYN+qKlUN6k/PIETe7Bc54n/8c/Z+fXn454z7nyRH/mr40dY7jDC0ovyY 67RiuBkLw46kxR1MvX+bSlxvqlrL30EXSShUFCRKDwfKCEwBBIdL1n5AtK4XiobxrY1LZ5XS1KDX bcieTyFC9e8ESMBLh9OQKNzJ/0YweYYV0xzAes39H7sfL81LcMbmBxTKvURTlTqLDkmmMKe9OHLi 4QzFrn0ld3+IddXGDvy6nCPd7t50a0XYwpgpIGhJOWuXQlCiPDejKgFJRTrpHFzaw9vsv4/v3+Vn f34S+/3s5/VdSuazR3gV5ffrnbUuCyiGHXmInquMT8mC2qkqy7zrf+zuz7f35x8zH1yIjQ8ZJexi I+gOfBcvSMGaqInZJMwQ6gvWj+2uywjTT88/n/7ul2M65ELW5kqlVyLSLdaNx+/yFP3b9e6P2efZ 08O/r3f4sQvntcbhpPcuVyP0Ku8bkCINhVoYdutYUue1jitp4lOrj5JtUQrcLx5OjHiYK/h6YlH4 jbZSroqA0uIwDlY5+HTNSNK5pChwvUDcUexYHpyIpxQOhP2RrJ8gxEjZLljtU+JKsTjhFZTp1VmN jHpzk8h9pk5OSRRT8VjyvvlSowl7f3387U8QKIScGnffZ8wI0mRxY738fDSLcYcJYbp6nvDnIPHT vFpwW19bXxMu+GqDS9MdwNviXN8UzSLG87AI7MdKa0mtEMScaXPH7Jt5sWmRfKTKScwj1NrFzCmn QlKYV68mMed4+kmu3PbTMypFntA9D41QbWTe5Snze328W+Jdu+MxzA/8ZKvD2hOKD+ODnPlB71E9 OUswOzIr0zk8xWjreZjnJ9tyQXjbvyaazVUoDavT/HhLPT3h9xo9LC/4Bno7tIJ7ljOfWe8t7AvZ ZOrpn31xGFKRYk9fwkKcEEbbx+cvjke589fZdehUtMLHE7sEIUoKPXdVljgJjHVQSsxyKczYit1z jBsamdlkHpaklpFAHJXiMtjQTPL+MlFqyHNb6LsRnrfCFS6aJIvFrDd6haY1A5jaGtf7ssYHWRJL dympE6OsShZBjA9HwgqaFkAgzDTGxzgJLavXsCoPEOI9YYcg1mH9pjjeW2znCPOxklogWOl5my1m a97YhMAGZB6Z5MaAhngxapHJwzfEy0QbCXKFshM0qvkV3jMKKK+vPJ5sdy67Rp5J0A/mYKGaoyTB YnGyL2REedgFfR0nkjMwg7maBIhMtpc/+BCLWFjPK4qYbx1cZdPY6wCCb3HFmiIS+eFTfSJWXw7X 0yW+0YtC8bpV4yKGCHDTPXSbpJncf6zV/MKrMjr0BnqY90xstpfwW2JHa9Ep1WVFLdwtYDE1q7WO 0Sy81jqyMqSZs8ZEkZSHJ9tVhjkuOQHBzTC9Sna8ledtcwKqBzcgfSAWyoPCDNLp+2EpBPVzGlpy eLeCItYyEA3QC8mOBDQyDQ3g8WrpLOdjgE1ZlmN0b+l5zihgM1IAD6UcRDexFk9Iui/lobEGhjyL ToIkR2VBZ4V9vCov7JbOLiSXFs7ccTiJqTf9SbozP9AYtVePktWu+wFEQQ9Vu8WSCB0An9E1SUr5 hS9MroD0iH8d/QT4rxbBzQhd7To0Xe48o10BSzRNLAJnTjz5AKchua6EnP64n3kLz3VH6QX3HHoM VAlLb5y+3kzQtyT9LI95QgQkvV5aD3JZc3P4d4wfpVS43a5iLBIQSLWV1qp0ehSVuDuJXoq2nTSX Ww0Mix0jNCwawCH2bkjtEgoTnylDf00WnIOuZ6h2UmJ5/OfT++PL08NfekmvbX3FyGIvqVWZccLC b5i13XIywzlD/gFhW/thmSDZDyDeIi70A33EOQ3IcUZ4qSsiuOqD8TSFSDFNAORUSvZ+VZURa0HE GBZRiAWGENGRN0Fsjs9v75/eHu8fZjCEzZUF5Hl4uK8t7IHSOOOw++sLeO4N7lUkSLuzKYNag/uA wFnB7ZQbeegrjnZaFhyYOPWy5kXkOau52e4uGZcdgS7PchsP9dQAqvzRwn+v8rDXO5uSImwrZ+Ox IZX7XGmV+pWsaVWAvqtlIhIeY5n12bhBkI1tSol3hNFPOzjxdk3c9jcQkW+pFzMNiDcFkXN+syIe EzZB2ynQIVq7c2zxawAJyAbegEGUc1lErUsNIuZi4y3G25JDqLPqmBIOU+YAiNNOoCe6BvSNnfKT QPmk9NyFMyeNUBrcDYti4pKmgXyVO//lQqicG5AUvFZOSfNCmB3HqiLCIAedH3H6Bsg5Wk9wCT9u qQf02on3lTu2V1Bz/IlYYp+XtFNRdUGfuQR4q8H0Yyn8dOcwi1bY6tniSD6oZGeLTXWUSTJUngiV h4KnOKmn4uqTchFaiiVgUIYt92bGTjmGEQM/ZGTPmFonhJwz2yPIomlxkyCa1+smwXypxkwvCPy3 W99UlJgkdcYLElsDW59Qc3bLh/4OgfIwm10ewUnsl6HH6a/gifb28DB7/96gEEGFmoTA2ZibVXcs Ej6R8zyUosKfL3++kwYPYZKZz6qoP6v9HqJFKyc8K+Il0MDNl3Ih1gihniO4oYzHNShmEDS+D2q9 LZ6uUlxrL1etXqvzp/Dgw2g9vqS3PYBFDs4968cmmboO13SWxer9M6KfKa82nfkmuN2l2rut0+vW aXLhyVYrz8OVvzZoOwEqbgh7yBbyVW6LhNGchSGs5gyM6xBq5Rbj197w+drD7cFaZHQzWXHSatpC KDYlAgW0wIKz9dLB7ctMkLd0JkZFc/NE22JvscDtHDuMenl36lvlZrGa4IC4f/wZALLccYmLhgaT BJeCeqyhwUCgBLgCmfhcrXGeABXphV0YflrpUKdkkklKcgIYq8f40gGhsPBTmIaoUDRoyBNNTk/8 KOQR3Xy5y0gEm7AsyIvQtHgw6cyXsufSCnJskzfeZoMrSfownFcsGAgo1eClaAx5knMrLHmI70wm dHdynbmDc/wA505Xkt96vIiZs8SXmyH04DgfgRaFyOhrvCF2+TGwf5swOciTuCOLM3EMP1BiEBDR zC3QgUXgzx7kIfGqj4Uu+YK6aDZx9QXvJO6Qpj6xEFptDn3qQVMTFkahZI3p4sRa3G7W+Gpm1e6U fPtAN98Ue9dxpydXQBnu2KBpFrgw0J9f5LF5ug0aS5n2mki5UTiO94Ei5Wax+ggTxLFwHNwaw4IF 0Z4JCF7+Aaz6Y5oRkqAktn2rtJuNgyt9rJU3SGLwR5keOl+KwsWqnOMigglVv+fgjPMx6CWc5pwP LrMXv1C3Ox9hCaVtS6UAK0JCgTmoaSgFvOk1vBBcLTnTYySR7sAWn8Th8uIQNz1ZIR4+EeHLXEnC KCBC+dsw8aH+FoXj9sNTYrCTemKENuu3wKW3JgJkWf2SifVqvplePL8Fxdp1p4f4G/3GutXP6TGu t/TpMsOvgtLwWZ+GJ25DTF1bi3OhbV1Qn9T8jbPEC9eAnRQmiDNQfRZclHPZloKSguuvx/KEMFqO OpHs5I5Hnec7lB/w1J+GncNdjqv56rYXoQpxUQQ497XHUXlYT2rkGLAsvuACWqMUkCfimLoU0Zjb gJEXGxrBY2eOmUlq6kmrKoYKCb73KPtLo8fytGD5Ldg6TfQv88toMco3kmvd9Xas+3nMSLFKI/z8 7K7npZT+sv6jPxhyvfowcjOKzONwKL/qu57r672KzRJ+TmdDlwxycT+wOBgGl66v27BCOzchRDGl v/n9+nq9g4ukzquxWRbMkGpn80Fgbb8MYeoToZ+xFyayAWBplYjk5DTiFV1QdJcMb7351pPL8CzV 1quywrb80X5yKhlh7Ei9kgKRY+r3W+vIB6+P1ydDYWgMAYsqz1X3XcNEuXZkecDlLPTrV4vNp7sM nLNereasOjOZlNjhVkzYHvTImA+wCeICr0uSVycVy2WJUXN4sToOWgj6ffXSmE8ocax2XyYhAX7z ZdWpcD2PMCkzYJjbRfL88xMQZYoaOnVLijjN1eWo1+A4PIsKD38FcUjeHtUZpCS/oAy9LAi2RdYA We8BN8g0ePtRcRRG6yZB/3MwcFFPhrQR9gOORuJIqYLzhLD8aBHOOhQbQmaoQTserxfjkNqw/kvB wBVktPNr6BQs3JfrktCENiXlRBgeTd6LqIqyqe8oVJjso6CcgqowVqOfFFnfDaYNF2KtQb1hjHmR R2pbNbfjmphot0Gf8rCRx3BBRMeHsAOUtYJ6fkQK3oQEcTxziPs71lj1MDMRYUF+tcpyueDhpZ/D XK6nDefiW3AWh3LnTfwIjY0n9w54djy1LvLbRBXwXm6wMbFOdcAdWy7wE32HKeF2Nke8w7QH3x2y u3Z9dZtwpa4n5AeIzQeBc5eUeNMBCD2dlOldSrzKmntalCnJ+jedLEdYv4valihTbqhOVS/g0UHl Ci5/MjwyyFBAMYvVI5qf5PwDB00dKm8wGnB+HF7HuYZbjfyjUvpsOd1TO1k9zWq/ygapRwmm7sQk HX9XESg62J8SRRoxBOrXim8QVK6rbFf/v9/eH37MfoOQc3Uwp19+PL+9P/09e/jx28M92Ah9rlGf 5CYJUZ5+tS7zoNZyUtLXOoDwAxEeEhX4cDQkDmCDODgTZx5JHf1MSl9kADnjuIukCSlZf0xgH5Xy KOHHBwgRxgXhlwdkbQ44YJ/gL8l+P+UaLTGfRQwDdK2tr5CrZtWLYQqX3idCbwGQPN2lxf707VuV CiJeKcAKlooq6EfNMQFhctv33lfVSd+/ywp2VTY4x/TaI3mv13PFCTfgUcTRTtcRIUlFfgeBh2In IGQcBGOGG/kWmLW8yCwnGHB+pyxLgKaD6vVz9FY6fZrIwll8favj6dcOwVj8MOVvr2QdfNkGcqnd 8oPkECZ4xwF5zGoU6LXXHUnvpjsJASNnEIHIOBgSQ851IKaaSYnuHUaEhdTGrpksVEqnXijWc8Jp BRDhPiS4Ug0gFTQMiCW4D9HUwTJhkb/dJl/jrDp8HesxFg9DGCn+6Wxw0WMN1Pw0XKIga/b6/P58 9/xU8+CA4+QPtWMBGSJD7Ri/qciI5IAqomDtloS4AR8hlwIhpTZcmhJ4epYNrYGyIpvdPT3f/YF1 jiRWzsrzKg4B/obLuLYk0u4uM7B6SahHQQ2Touv9vQpTKpd/9eG3/zVXz2F9jOqECQjvCN+reGIq iAqXkouUYJTa7NjJHfA3+OT0E6q9XIwysIVTj539a+W4pgAGKyQ5FdU3BgEsTCLXVjr9pOrsNIJK /bL5j+vLixQ31KeQHVBrVy/UixWK3MTzHRUyFDLeeWtBKNc1IONeiVoYa/MUW1BQaSMzWNHBiWnf vyyzX3fH+qAV1lTqw18vksmwvhkzP9JNAsMTQurvAO5IC6QEtV0tpgCEyVENAGXvSAlFFnLX69/7 Gxtyrxc0B+39kd45FlKqHHJw0/PDvO3iN9HjSmdDuUEaXY6f9zSALxaeN9ZhoUiJh0M00+VgUEHE DB02QRvoScEOaVqdC6H2Oe1wyIMDI4NRq4bJxZJ44/KC94e6g4C3XgijY00XpyyLsG3/eNGh4Y3z tExo5MQj8i5pomPNIGtNG1PO3yyIC3MDsvwIBJ+XHSR25oQ5l43BL1RtDH7dbWPw2yALQ+gpTIxD mDAZmK1L6RFaTCF7eRqz/BBmqs4SsybEOxMzFWxQYSbGQiymShF8s54adSmy7xlE4EyKPCUChLfl ZQGpbq8hRZmNf1AeqQQL84pTtk8NUKleIErHOEqsJ+I/QvzFiU7YbxxvvsLPsybGc/fEqaUFrRab FRFsq8YcopXjERpOA+POpzCb9Zw4inWIcVY8hse1Q/ivNJiw8Mbn4Be+HP+KXFhzx50YJYjuz4gH eVtMwd3tcnxWaMyGtL7o4yYDJQJuO1H3gi8dIiqHiXGdybovXXe8MxVmug+WLnnVYGIw15gGoczD HMe+hulI6/l6vBYK5IzvAwqzHt+7ALMdZ0ElKG0mek6DJrgdopJOrRYKs5hs2Ho9MS8UZiIwrcJ8 qPUTPBrzbDElART8/xi7sua2dSX9V1R5moeciUStnqk8QCApISJImouWvKgUW05U17ZcXurezK8f NEhKINkN+uHkWOgPINYG0OiFUhy6lJJMFWPC9Xauexcn39bKuScn9iIC2bGzKUBnCR1rRHYcLRTA Pi8DSZyrDUBXJQl7BwPQVcku1iQpDylXQFclb8bO0D4tNGbUwQA1xt5edSeeDjsYF2BGhPJthQnV jQwsaqVIqUvEBcozxYDsXQCYacd8UpjpjBLsVZhYe+qwYiLO9/Gsc/vS99wb4qIjqVfMKne6zDq2 IoXoYBYKMfxPF4Lby3ClpziyfSw9ydsX0DbGGXRjJhuHuCtfqixTPprKz4E6VlYBmw87uHeaZem0 4/CQSjnp2G0V1x04M3fWeRFMpzPnE5hpx7VB9easY4aIkDl9+zYJkI4FoSBDp3PjIvT7LoCl5B07 bSbjQcf61RD7LNMQe/cqCOUz34R0NVnGY0LvuoKss4HTcV/dzIbT6dB+pwHMbGC/9gHm5jMY5xMY e6s0xL4WFCSYzsaUY+oaakK9Q11RE2e6tN8NC5BHoPRORNjabCAAtxuhz3jg0yJKUzFv6EKlmP/J OZcMhQPBxBcCTXiwefh4vtMRyixxk3xXyxmIaRRLwQu5MHG70/lZ5symfYsjRAUCJ1c3fYIVaIB7 M54O5AZ/CtLf2cZOnzZzAIgERQsiJpVuqeD45NMNddlNnxBOQ24gjx3yQmlAbFXUEHx6V2TiUn8h 400oyZRCuyYHIV202oaH4GXM1r4KYx2D2JkQ0kEQpMf0IABZlRwHRGQlVbi4TSfEAwOQV5605Z7N Ykm5JrnS6cHR9Alhj1bMv+1gNCYuHiVgOp0QHPACmI2sgNkNYe5yoRNS3gudOLJc6fgOp+nZhDrB V2Rb6V7oO4O5xKeP93MLL0CE92qVfS0gSFJEaRYCJPEy3EoRiOpUPVbrh+5dNb5bC5NKsnHfkjvh 42xM3DWAnnrcziVTMZpOth2YwJlZ10gqx8TxQ1NXu5maozgfYPPtuN/BydNdyglzGCBnoEUwHI63 YJjFiLiTAAzi4Y1lngfxbEo8RpafCaRloFkgiVANYBc16I8JoyNtNEVZDdssqnSlNGBGRBe8AIgr fdUs1XDLLqSLmE06ADdEEwyAfZu6gGzbgQIpdko882SbQF3rLJNJASb9Ucds2wQDZzq0YwI5HFtW ZTYNJpMt4YAO6HwynE07ADdDG+BWbi2jzhLxMwqZtb8rjK27N3I2suxeijwc2PfmEtLxkeG431XK zQ1+H9N7tPbZKQf9fYvPV0/mttPptTAI0xCQr8SJjZeCq6I997h+7m3ZJtVQCKKIefF6ePlzunvD dHpcJEYGU2mmPnXZVjO5CNb9eng69n59PDyAGl7TvMmfV6GQrzovKi2MMuHvzKSaB/cqKrhqEBaP EwpV//kiCBKPZ7WSgcCjeKeysxZBSLbw5oGoKRpDSarjxSLce6HqQXwvUCgZuV6pWIyzYoXJRKA/ kDXieLS76k+lDopcY1RBdj8kCpAOXH14pegNu54rYTPo9xvtB9FP7pNF5S5+GYQencv9YpuNxpS/ /bm2NciJ6yT0auVKnQJoj2Lp0iPUIKD6AkL/oksTnZ1FuPLD3b8eT7//vENATO6SDqUUbc8DlqaV 69G/NUqULGqKrpAYjPx+3xk5GSF80RiZOrPhwieO5xqSrRXrusVvkAAQgbhxiOtDRR8SN12gZ27k jPBHWyCvFwtnNHQYzhoBYdUrAwCT6XBy4y8IjwNlR6gTysq39NVyq3g4fggHcpTJoeOMsekOqpaB DinaGMKruOGCWGWuMx5aCyncGeHZte/7DeWj6YpjbjybETeOBop4VDLqI4fUw94VROoqGuWsx05/ GhAxSy+wuatOmvg4GDVP+JaHIboaO9ZcFQrr7fyoYwa+PB6qiEztdVkE++RNs1Y/YdKb577vJZhh HkJWkyJTuwiYS0mW4MZaWDYwwAaj1E9ncD31K/HUumMrr+0LrzLFsbffmPpRU5G/LKG1018kdFFe jzedIsGOl2rLbXW2SqypkglXjXiWeclun2aJFy4I35kKmDDcmjVfons7FF2qrV7sh1+Od2C8Bxla RsSAZyMdZ+ipXkHGeU57YykQCWpApGmx2lJaRUIi4cJE03Pw/UiUOPeClQibRc69LIr3PhYQGch8 qabM7mqSXKQJ9WvXLIlH+YLRdZOMsyDAp7fOro+PNFm1LBNrb5/O++O6BpuJ2sVJw8siJKtJsIjC RBA+ygDiybTRC3Vy4Cn+aiFj8W405efKa3XVwpNzQQhdNN0n9jRNDKJERMSLJQCWUdCwM6+R12LN ApfQ0hcg9NvZp+1qR3djzhVbEPhdB+gbFmREbOqibt4mjUKBWfTotu8SzfOaHQoBF+hKUb55gPaD UY4/gJptRLgkTuRFX4WpOmlT/kwAEvCWe8s63QujNb5BFstGdSftXq+ABHCEtdB3vjp90AOq9gS9 QIhOL2IoRH5WZwMyAre47cmtXa7bZ1BI+F0raAkR1Rmo6maJulAAWsxCeDpSy8Ot+W2/JttWOObF qkbOWLALt83WxooXBkQ4UE0PGCiKhpT/EI2BnZ8IlK2HRxVgmd5JxDnDLydATpmg+6yKXNRolVZc Jb3LaAQZtrGkegGYidfvjyYiD8FfePPDCWU+BIsffBex1LJJpOoAlf2IdlAyvaaFZbkp5pRSOrua vgQz5MJakGaCcOjYxynxLKPZoG032YqQcFoK1J9eElkbCJ6ZuY0hFM+w+yVh7KlPEkFMf0Dy2Gmp GFQ2Dshh6WLkgJ7twIcanO9aCwsfhRLeMHKrfWJ+VqkXQ7nWkU0HRJi79cACmsXqOhhmF5bCmrDa HUKb29baeqm+Ng5vNs200jWzXbz+mB8wKh1B8F2Q9qjTfSE7MhzogNv4QhZXTwSrx7plho7REICh KTGrimxh2LrLGfTS3C3dL7lb+2DT/T4LQ8VnuQfucMsLcdsEECKSHx8fD8/H88eb7uTSE3h9GNWV hqntZg8iMZFmzUb56gvg6kyzUEHIsnQ5u5DBk7UUYUQI13R/Z/jOVNLAB62b8ywQluAFgHNFCt5u tUeeBGIPNZai2VvqDpHmih+H6hjrBWz33alP27CKLaJn4vntvcMsWY/lZLrt9/dUGGuAbGFq2QBe FyDagtO6ZWwFiTQeDCZbK8ZXXaZKsmJAp3fkDOwVQmpsLpYAghjB7G1M2AtB1Zaa/QWGt2JNJDM2 mYxvptaKQdFgj6slvChXK72g88fD2xvO0JgOaWIkaO8r7SApG5eOWZLJdlT5MMq8/+npJmZRAhYH 98cXxZbeeufnIhb5r4/33jxYaXcwqdt7OvytPFocHt/OvV/HMrjN//bA2tYsaXl8fNEhb57OrxBj /OFcb1OJa41HkWwJtG6iymgInTiXZcxndPySCuerUwi1eZs4kbq2aBsVTP1NnN1MVOq6CaEa2IQR yjAm7EcOHpKj7s+ygOUuHf2kgkWhR5/3TeCKJbK7uPISD4Hfefd4eKHqxPnEIfR09N7G2hsMrCrx dPgNQSZaTvE0R3H5rN9vHBLgJgShNeozUljcXWt264bEWVAXqlmAS/iy0rvThtDwKYl0XCawsxSu R/c58N9pXRp86R7tdQ1lNoUDqHrflE6hrrKz+miV/rGQl5I2iomEw/7YiUtWw8EACzprgNpiL4PI l0NCDd8AbZbqArX0GHY1NGCuWAgQ+nmBdt9IfTFueuBGMOUCkDO0iz0ZewuU4mcuuMSIUOJa7V4J ShExu8UJON5zF1UTaSIEjsG7wJ+RTnzrqIZpOzLZFD/RY4u1aUN8XuS5vdTKi2vsMrToko7TglTg hGguwN0e3mmSZ/tcdQpRZf1G2dVhMkqnU+K1rQGbESbAJmybkw/9Bixka4nGvTcwceAM+0OiaVEm JrMxrphkwG45y3EJiQkqQ0J34dKYx7Pt2F7rlPntk8eVtI+ZS/nSrDE8CNyFe2FD0Ds5jzD5vYHJ 8PnFd3Mv+cH4CqWWAYMxEoQuo8Ymbr4vIRgZikZk70YJnJBEmNUDicReds62jUiX84jwlGT2Y5pT 7j3N6ZJ1MqE8dqczv09ZQZrcv3kYvWyj9assup96Ukyc+uioJGfSujq7eWZdBuvUw1TjgRh4iygD SXT9O0H7vlNtP3w35RPsQboAaTX9emHCvYpRzAscbEtkcAfdMHjYUrfiOCCi1WjAXvpCO8cBv3yE 7bNuE70swZsx97S3b0oRSjck2rAkERYE6T+puBunXlZc6XyxzXLL2VCk8GrtE2+UCrBTualt0Pup u3fb2jeWuY666YwHhJqdBqWCwx/DMaH7YIJGEyLGgO5wcHCphs5L7P2ixi1K1faJrpP4z9+3093h sRcc/uJO98IoLmQT3BO4VgpQC3/uNlEWHHopLzD6vhA0FfoMYR9RTXNYFkydgVrCqCK149ZqgkDB DJWfG0BoJzxvbupioZJa3ZHCHEIIgDJA+t3wJZVfNo+2H9brsBxfTy9/jq+qxVfBUlOg5MM0snDc SoSTEwrMus6JlQwu5Agt49wQtFjzE7rG+ha2tn4dyEOL+Am+Te8mc5dbS1cbqONM6fyFdAvpPnNe ouNUY/VifolVUufbflt85KtNdB/M64nVhGmmVuF46/kRqL+P5t62meYhH9ehXZupOjZsM1GCYhUh Kir+9PHr/+Jw//v43nt5Pd6dn17Ob8f73t35+eH0++P1gMia4d2lsUc3QyqrhLKOjbUPBI9wm6vn fjPgcGst+y3Rop+HHM5nqKu3YtbUOqb2ucvgNKpRSg0togzeEfCmKEfNp72kOfCieCW20FtvJDWq O1/gSgSaFbBN2WnkYuke+muR2S4mvMnqj+lwBxuR1cVfJUJKw/2w+rGfg9NCJKl8efg+u5aeQjB3 0iU55GzutcXLieTfUvcb5P7McwCUQzlGBVrDsR4kpe6SEwrvQKWU4eFD+DEHSOuc3ECAnKdLQoFe E92lmKiRoPPzW1udl+ktSZOEC3PpSTqkITxtqQMtvgBARgR2pyIQhG92of4NxZyF2FuF5zK+V6dX eK9KeZIbDiQ1qfXol2R8X/iZvHwAkrRGKvp5F+w+8Xc5RVIHCeMx7jpddyHXJxaqSJVvL6O1Vyrf 22BLjzWfn8vF2/i+0an51nZ/yAkdVFAOL52WY2y09FMvvTA3u69KllSpboxpA68hLkW7MJ1KhfYu qKCAk5ZPvGUMlPbCP929nt/OD++95d+X4+s/697vj6Na/+YjdGUw0gG9fn6ReDvSO0bGFoIwB19E gesLQueIL5NIXl2P46VLL1A3xmhrcxFeeFcNDIaqfsA7VBBFq9wMQFMC1f7mxcwMpFG8hpeFXGt4 SYWz182I8DtjwFIxpkTJDRThu6KOGuGXLQOkdmJvSui1m7DU6YMJIhaq3IA12Pxyo9h4iDrY5doR bnr+eK2ZwFebJcRd2Ee+EYNVp8SJOvjVhilNuF5ArcSqKpU+MvY9Y5owEcwj1A2/al1ucMPCCun4 rM7Jdz1N7MUHdQrQ/oJTRFND5weXnwsdm3YfxIxwbt5EskSupzgD66qAwdEgmI2sG2Xq+iXHp/P7 8eX1fIddkovYY6q/8asCkrko9OXp7TdaXizTiuPhJdZyFhrT6uP/lRaxDKLnHocoBb030Ax6UE2/ nkIKQ6+nx/NvlZyeOea6HiMX+VSB6txGZWtTC7Ob1/PhXh36WvkqphapE1nC1d4+R1uL5i9eyrfx N//1eHy7O6jxvD2/ilvqIxBzJuFELIyucnRBp/+WW6rpLZom3n4cHlW92w0vc6H0er/UD+w68/b0 eHr+D9XOwgPzfs1ztKVY5ose2aem0PVTsQQFBD/x8JOct804ZWWtFgxhdiGI/T3etO0VRXLbg3Ac mNKXmk17oGOd0MpnfD4GT+3U9qs981Z+SAMkIEq83Cm28quIFlJzlly55V4ShyUQFiwkSZ+ry90K rGtBxEiiwN86BOtwZqHUYsRuFJRnReUpvirrTTXygcCb9IDA2/E04uPrw/n16fCsNpun8/Pp/Yx6 6AfezDn2NAKUWObmDmYr0xhOREmBPd+/nk/3tS+HbhIR+oMV3DhPM2xnDMuoPubPwml8tU0uN733 18MdKEdg8QkyIlKJtlRumuJUOoztIg2GGC8I16wiItxdBYJ026ZFGOrv0OP4oZqDojch5ZCt2HHV 1aPQwXJNpuqfFIsuZl2N8a1ZIFyWeYrT79V5M0VDWCme5Oz9mqyoTNpvWZbh1VOI4d7H261oI4qW eELVQhVN0H/QpC1NWvipQ9EibiHOM0tdQhFYsvpOK+el/XDUa/ZokVaKWaIYywjXVjCuXNVCUEoI upapvaFJN/ZxiH+a7FrvpCZCXS0b9/wLrWmG7jYTRJGg+F49OI3PLJfo2zzK8NUEyqR+Ss6Rgkz2 u6oEOdaqkerqvUckrfxw9+fYOP1wxpe4vXSJLuDuP+qe+M1du3qdIctMpNHNZNKnapW7fotUfQcv u5BxROk3n2XfvC38G2aNr1+GICsW72WPV/lqKesmBH5XGssQNTcGwexoOMXoIoJHTpCBfzm9nWez 8c0/gy/mBLhC88zH9Sd0A8hFliFDXbE6Ww8U++Tb8eP+3HvAegbuHrV26wTwc5MFjUToAdBhFmqZ mfNbE/lSBG7iYbvsyktC8wvV5lXdOWVc5wI6Ady9ie2ecdwXQIFpcd7rKdEvrRBr0gP4n+5I03YA 6Z1LORChVj/s7dLMk7VaRgkLFx69Aplrofk0zdMsiqIu6YyKBJYmJBO31HVuqQ7Fv3/4Bdu/9m+V Uoiov/db6RvFW0s7Z7Mnr3QQJwIH9jEOXMDSXILhNZqfmg4FAF5CQFVCcf92hOAC8rMheS1Sg5+Y InlBS0Bi0iwmyecibJfDtU+QsKESg0BiUGYQGdLIgp6Kn7hswwT5bB3lCV53njDpG29zxe9i1y0i Dl1PXwVJZoRvy9ucpUti7qwthxEpQrW8qR1KWqZ5TNNuw+3ISp3Q1MT20Rhe5gj//bt0Te5plnWV tHfvitmXMbDqjKciVvzL+L12Gr9r+ntFSpOTmsRRE55uiFtYAd/jQlEgwrGjDPvthmjjShBsCur+ 4YaNtlXWNrkbG+JA8xvYM8tCx8eNIYqsYSqmp3PjJ7S29sGLhVU1nnmYxNyI661/7xd1Q/UyldYP 4V68pMaeC4oQuYzeM6jpEphdGKTVUeP7l7sXdV75YpKqg8xeEWrdatIop9V1EOEyvAaaEXr+DRAu RmiAPvW5T1SccqfSABFTvA76TMUJj6UNEP6C0AB9pgsm+CNDA4Rbp9RAN8NPlHTzmQG+IfTH66DR J+o0IzxhA0hdL+DgvcdP17ViBpT9SRNFTwKWciHwxXipyaC5wioC3R0Vgp4zFaK7I+jZUiHoAa4Q 9HqqEPSoXbqhuzFEDLAahG7OKhKzPS6AuZBxb5lAlgwi/0pC37VCcC/IBC4UvULCzMsJ1f8LKIlY RrmNu4B2iQiCjs8tmNcJSTzClq5CCA6avkSo+goT5gKXzNW6r6tRWZ6sGm/MBgKuxbXQ5QGhfxUK 3rC7LCki2m9uTUluTdxXvHQd7z5eT+9/2+bJYCVifh5+7xPvNgetYEQAUh0LC0tmNfCQIxHhgjjs FXInT/trwSGKsHeX4MmvcJpCuXfnOdwMILhEql8VskQQctMKayWiJwr9AK+jqYeqyiDOAieJexao ExRrXP5bMFwcpY5xIBpL1ZWEin0MDrK4LgbuL4XrRKRylSDl2hXMUNsKUvn9CzxC35///fz17+Hp 8PXxfLh/OT1/fTs8HFU5p/uvp+f342+YCF9/vTx8KebG6vj6fHzUjhaPzyD3vs4RM87q6fn0fjo8 nv5Pa55dJ5A2XFdN4Ct9wauFN4WgJ0G+ECG4vwKLc4+tdDtxKS0Kn+8SD3eHYsHDiKF5dG3VNViP 6KVHCaloBQZbWhJbj8Ta7KWKTHfy5SWxuUSvV1S1gKLKfJ6//n15P/fuwBT5/Nr7c3x80XrONTBE L2exMK+5RrLTTveYiya2oemKi7imRtsgtLMs1T0ZTWxDk3CBpaHAy2m/VXGyJqs4RhPbRYDIpA1V zF6dj9ptL9Nr9g0lqTnb0YyXux+oShp3mhK18AfOTOZB67thHuCJWE30/7ArZNXmPFsqdt0qD+pU zb7449fj6e6ffx3/9u70RPwNTvT+msLuaoBSXLZfkl1sOyxpHm9XwuPuEmmTxxPX/qFU4mfOqlPy ZO0543E9oF3xqvnx/uf4/H66O7wf73ve8/9XdmRLjSPJ9/0Kop92InYZ7KZp9oEHHWVbbV1IMgJe HG7wgqPHQGAzy/z9ZmapZEmVWTAd0dHtylTdlUdVHjRgjFz8v83+8cjb7Z7vNgQKV/sVMwMBaypt lpRsya1PZsBwvfFJnsU3o69CzNP2eE6jctTP+TMYurqMrpiZnHlA2K7MkvpkuLR9vu96lpv++AHX ywkXBcQAq4L7pOK4bdsjn/kkLngr3AacTXiPoQacQ9dd8Gshi4yhCeqmLoSbIDP/aORYLXhhzYys LCM7/s9stXuUJhzkRZtU6kJrCB8M8Qo+s9oONw/r3d5utwi+jtm1RoBzIq9nUsy2BsOPvbkaO1dL ozhXBDpSjU7CiIsAac5Uw2isvcCcpgEZDk+Z75LQ9UkE5wgDnkfctBVJOBLScXUwhPuYA8b4m2A4 2WJIcYsNCZh5XC7QAxRasDn5zPs24jgIAHiNtqW1bnAFcpSfCbeGDbOZFoMEbH14neuuaXpLnkT2 KfJUyfQeSgemYcNNmNVoC2zNhwGYC1PmlHhoBhxxxtQtBqpT5nsb9o0tPWPaCoX4UA14Qv86l8GL S8+9bQwfcvGWIgflj9skyan8WVVn7BQ35YcZamIcb19e17tdT99op2ESe5XiGMctfxHRgM+F9K3t 14JJcwsWPDwahNuysoMFF6un++ftUfq2/bl+1ba1RouydmlaRphEO+U8XczYC3+q7fOH80gQ4hd/ 2RuHYB8Qa0IK2LfEDobV7o8IoxwrtPHLb5g1QSl4CarHh+23iEad+BRyIZj3D/FQpbEWp9Go/tj8 fF2BBvf6/LbfPDG8OY58gbIg5BMsDNH0yfoQi5VKbTzD2UDajm7VxX/Yyj4jTB66xgufNrbAO2Y1 t/PU1dKrgESiaO/cfS0iVn9y6lYhEDmhOL7L6TWv7nvlTYJRSQAFr5nQR85e//XrHq11QZbfUZiv 3ebhabV/AwX77nF99wu09b4DEb5L4npjKPeyvf9ibwU+UzdVHtu773DX5pFFF7MefgQsFX2COg/x xmoWuG0a5DfLSZElxjCLQYlVKkBThTY7Udy7HgyyIhTuXjE8LPlw+7yTkr7d82K7pTyI0DnB63jC UJhGfC0Nkvw6mOknzEJNurpxACoW0J1e0WjAMoOlLTX2wFG1WHIRk0jw7e9lKAC+F0+G/ox9hDgK lH9zznyqIRJ7IRSvqD3BYVVj+MKFNECFlzSAiIDvzDDQ/ZrRBgJemi28NMwS98SgbQn6CsY9myQq NVy8M1nXt1DKBdY2u6V7Gdse8zILIh143SsKr2OaiKE+YW91DYl1EQV/6u05LA+TTjoc+IGWmJ03 ZqVCKoXv6NpWDXZsU4W290Fpxu+l9EEQDC72CgTOiGMyNZSqWuR26y28Ul4RZnVqo2BBmqWm7mXS GyBCC6WLDu8NUIi8UfKuLaexnvJOPZfdQxxnPcsh/O3aDWmMtko2EdCuomen3bqi4hLZF2e+kVHE 6SkQ4G7c/0kGg7Y8S7G07P9cnr+fWyVAPLrGq1h49i7kSCXo93fh/Y6gOSxTjA3JKB7Q09SNguZC y9N3XhE0fRSyCiF0dPIuJI9uJivFgTsRRuP3MS80EwZIfqOzd+GaoOkhd01VouNDFg82eJohgC6p OqYpQPcG+xbff9Ipu9Na9mtx1f6Dh+HtVPryunna/zoCSf3ofrvePXDOwxR2YE6+ghILRDhmkOBv fZsUJyC0xMC34/YK+7uIcbmIVHVxauCJKkt8ordqOD30ws+yynSFYvGyfTWxhGVDnh6GFTqyFYcw FhhgqaIA9C6xo8/g7xUm7yxV94VSnOxW79v8sf73frNt5KQdod7p8lduaXRrwGU4qz+V0u16skAl fKa6oQ0oA82y9or0YnQyPu3vrxw4C7qcCL6/BagT2pGyFKKkK8xMjMnOgVmwZEx3u1QUIgOtbhPM HN3Z+AMI9XSZpXHPRLKJw5MVgWrjbQDRxlxtX8fcZS2dtNqDo6nHn2fkjFIO56Upl9qq8cEtx9w9 Oe869+mV7Hm9Ngc0XP98e6DIp9HTbv/6tl0/7TtqGaWcQHG8uOw6Q7SF7YudXv0LoIMcVhNihK3B xGnD5/A0UBdfvljzIL4i0xTPp2GPOeJv/nXfL4dWBANPXOek9LeTtjAcnkQ06TaOU81rZVtZX92Y 6pDfaSm5i+gKEZEkA54WUsjdOhVUeALD9sI0KoL2rlupeccqDcz8HyqQEsLHC9+g8cMgDBTjxEVs 5hPER3xbto+BgTi6qJ/GF0i1+U4AQQobLIyeTvTJUd8V96p0ED41js4laPfXlWSw2SXkZkpP3xwD C6iVuQe7tRNDtw9FE15kzWkGWFEV3cJhCENKeNRhAdYWtCZuNvBF1Q8YiH+UPb/s/nUUP9/9envR FGW2enoYaM0pnGO0eOedqXpw9IRbqIPhvgYin88WFRQfViubVKiKonxO+dCE2HtNsrTZAuah8kp+ QetLoMFA1EPhTpwi8+nWWNLgngtt+ANE9/6Ngup0znpv62mfhb8GO9I6FgdDBabK4drhzM2Vyt1H Oy+USnI7NhCOpUPo/rl72TzhKyUMc/u2X7+v4T/r/d3x8fFvh8GQ3xzVOyW50LagzgsM69L4x7Hd ojpw5I5Oo9a4qNS1cA3f7F0mLMXwoH1YSV1rJKBTWZ17Qu64pld1qQQpRSPQ0GRqrZFMuJ4Ylu6D unCO6Z62kb/5tqlVOCMYW1KOuXgYKCvMt9ty4qjKSPx/Y+t0ZT2gvhVa0vP9Q5kL5m65SDHrDpwZ fe3hmKK55kwC+fqlefn9ar86QiZ+hzeCjDgrZuhozs8H8NJ1+MgzM5Jy9GquSdkGUPIvFozvaI8K CUMathoUMH9pBVKV7YJZBAteIgEArL4XO7YQony4zxAJjcP4ujpIIM4uSWJvWcB41IXTVukFqoJC dVlyypQJP9IbnHXULxuJumBk6b4+RUcKxDO8/+aHiTdqaXAzSGDXFWtaHYEG0rmM6UOnhZfPeByj G07MVMjAZR1hvEE1LYftaHBCbu6AgHfLAxT0xqRlQExSRoaVBM2HupaObyXVHfTj2NGNQeuGZxcS gazJCahfk8BRJjLNKD1MIcAJHh1ZjSIaRKVuVoXD642ganCso7J63fJHheI6VOEiyfV+4aMupnWU gmL6kZIn2K41tMlSMCjyhVdUI7umKFCh8PRjNOAkwhBiboEBSTA0sDyX3Bj6aHl8MnJpD4Q0wRWH YgxP4hgsSMRBvAhBB7zHef8du3BcfvmHXSFChlOjuzO7KUELPT0ZneAfBgPFc8D479lYwsDKUTKe VN0IuUMEkMB5y/YhYu7FCSbfYDeJcRs9DH27unv8/e3prnmXP37s6MN42XnTXDuxFLC/Z7s3cdV6 t0dujbJr8Pzn+nX1sO5u6vkilezwGyaGt09ZAR39oe9L+KtI7bHO4QyP5jzIriy9BrQZKG4oS957 Ykd8jpcAScJHMWQ1SEKGMfW0gI+PiKWUxEAnXIpSCjYoY4jf+0ayIeHKwRt9tM5xwPHpo8ziDEOx iVhESK4w/L+zslwVyGJFuHkLcAuENPCZukZq55gZfU+srep5YcfglYFgxE8Ic8CohDAvhEB7n39p JLi+w5bhi4UQTJag1/SwJcMxtgXSMhmjQOOLSsxYo6dTss8gaCRkWdL7eM4LxGbsmZCqkeBXiayb 6MkpKUW4a4H83DX5+F4/0/nF+aDsE+CJ2M+lD9LTLPEKXntrwuUXCWgFjonUcSQc45Fv5pvtSE4h oteM3pJJ5tgxIDgEHmxLZyOoyQnE1VTiRiDnCLzNk+JjJqKy5iT/lueEfq35P+fNRJ25XQEA --===============8148660828550651770==--