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=-7.5 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_PASS,USER_AGENT_MUTT 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 6CB0CC43381 for ; Fri, 29 Mar 2019 02:15:38 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id 21C282183E for ; Fri, 29 Mar 2019 02:15:38 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1728548AbfC2CPg (ORCPT ); Thu, 28 Mar 2019 22:15:36 -0400 Received: from mga14.intel.com ([192.55.52.115]:43937 "EHLO mga14.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1727948AbfC2CPg (ORCPT ); Thu, 28 Mar 2019 22:15:36 -0400 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga002.fm.intel.com ([10.253.24.26]) by fmsmga103.fm.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 28 Mar 2019 19:15:34 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.60,282,1549958400"; d="gz'50?scan'50,208,50";a="156248186" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga002.fm.intel.com with ESMTP; 28 Mar 2019 19:15:33 -0700 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1h9h3M-000Gjt-DY; Fri, 29 Mar 2019 10:15:32 +0800 Date: Fri, 29 Mar 2019 10:15:00 +0800 From: kbuild test robot To: Florian Westphal Cc: kbuild-all@01.org, netdev@vger.kernel.org, steffen.klassert@secunet.com, Florian Westphal Subject: Re: [PATCH ipsec-next 08/11] xfrm: remove output2 indirection from xfrm_mode Message-ID: <201903291030.OFYRNhm4%lkp@intel.com> References: <20190327173140.16891-9-fw@strlen.de> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="YiEDa0DAkWCtVeE4" Content-Disposition: inline In-Reply-To: <20190327173140.16891-9-fw@strlen.de> User-Agent: Mutt/1.5.23 (2014-03-12) Sender: netdev-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: netdev@vger.kernel.org --YiEDa0DAkWCtVeE4 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Florian, I love your patch! Yet something to improve: [auto build test ERROR on ipsec-next/master] url: https://github.com/0day-ci/linux/commits/Florian-Westphal/xfrm-remove-xfrm_mode-indirections/20190329-041949 base: https://git.kernel.org/pub/scm/linux/kernel/git/klassert/ipsec-next.git master config: powerpc-g5_defconfig (attached as .config) compiler: powerpc64-linux-gnu-gcc (Debian 7.2.0-11) 7.2.0 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=7.2.0 make.cross ARCH=powerpc All errors (new ones prefixed by >>): net/xfrm/xfrm_output.o: In function `.xfrm_output_resume': >> xfrm_output.c:(.text+0xd7c): undefined reference to `.ip6_dst_hoplimit' --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --YiEDa0DAkWCtVeE4 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICA95nVwAAy5jb25maWcAlDxdc9u2su/9FZr05Zw5k9SxEzc9d/wAkqCEiiQYAJRkv2Ac m0k9tWVfWW6bf393AVIESEDO7XRaE7v4Wuw3Fvr5p59n5GX/+HC9v7u5vr//PvvWbtvd9b69 nX29u2//Z5bxWcXVjGZMvQPk4m778s8vT49/t7unm9nHdyfvTmbLdrdt72fp4/br3bcX6Hz3 uP3p55/g35+h8eEJxtn9d9b1Of/w9h7HePtt+/L2283N7F9Z++Xuejv79d3pu5O379//2/4F vVNe5Wyu01QzqedpevG9b4IPvaJCMl5d/HpyenJywC1INT+ATpwhFkRqIks954oPA3WANRGV LsllQnVTsYopRgp2RbMBkYnPes3FcmhJGlZkipVU040iSUG15EINcLUQlGSaVTmH/2hFJHY2 RJkbGt/Pntv9y9OwUZxY02qliZjrgpVMXZydIg27tfKyZjCNolLN7p5n28c9jtD3LnhKin7n b96EmjVp3M2bHWhJCuXgL8iK6iUVFS30/IrVA7oL2VwN7T7yYbkHzMBaM5qTplB6waWqSEkv 3vxr+7ht/31YhVwTZ2Z5KVesTicN+P9UFUN7zSXb6PJzQxsabp10SQWXUpe05OJSE6VIunB3 0UhasMTdwgFEGpCJwOYMnYhIFxYDJyRF0Z89MNLs+eXL8/fnffswnP2cVlSw1PCZXPC1w+sj iC7oihZheMnmgihkAI9xM14SVk27lJIh3EfOuUhp1rEvq+YO1WsiJO16HMjgzp/RpJnnMkCU HssIzGqgyQicArsuYX+VkgPQ0BLFVLF0qRPBSZYSqY72PopWcqmbOiOK9qei7h7a3XPoYMyc vKJAemeoiuvFFUpkaWh9IAY01jAHz1gaIILtxbKCun1sa94URayLI4NsvtCCSkNH4dCoFpSW tQL8yhu8b1/xoqkUEZdBVu6wXJjV3nXzi7p+/nO2B/rMrre3s+f99f55dn1z8/iy3d9tvw2E WjGhNHTQJE05zGVZ5zCFoaMPDmw3MIiugKNX3qZCWHC4wa0lMoPt8ZSClAO6CiKhcpaKKBmm jmSBpeL8TPKilzdDMJE2MxlgIqCvBpi7CfgEywHcEtIh0iK73f0m7A0rLoqBCR1IRUGCJZ2n ScFcCbAaP2HVqaNM2dL+MW0xhBuaC44j5KCFWK4u3v/qtiM1SrJx4acDb7JKLcHQ5HQ8xpkn 47Kpa7ChUldNSXRCwJinngZK54I3tXTJCJo7nYdPvlh2HYJgC9IyXdDsGELNsjBbdHCRleQY PIfDu6LiGMqimVNVhK0MEFbSCGN23TO6Yik9hgGDRHm/3yYV+fFJQLWHFBSYbzAMIF/DMTV4 hM43murKOzXYk4CmwHhAbq9vRdWoLxxYuqw58BRqQsVFeOvmYI3HE+cBsEO5hK2B/kvBGoT5 QNCCXAZWivwFpDdum3BdRfwmJQwseQO21HGuRDbyqaAhgYZTr6W4KonX4HpbBs5H3x88j5bX YB3AfUVTbs6VixIkyVOhYzQJf8R8GVAZGbqyKc+oBqtJNEXvtBp5GmPPioAtAmJAJzlGAsWX 0hq7g24jqeOrJXXuLjOqIEtwHxlykTM0CFEJilxPvAt7zJPmfEEqa4s9R3FqWlF9jb91VTJX sTpaihY50Eq4uyLgN6GFdyZvFN2MPoH5nVFq7u2BzStS5A6fmXW6DcbzcRvkArSjcyDM4RvG dSM85UqyFZO0J5NDABgkIUIwl9hLRLks5bRFezQ+tBoSoCiNjTmceD9nUPzwkE20kGcBPjj4 hsMiNQ6VkHTpLA78Vs9pBWSaZTQ0omF5lBp98EONae+i3LrdfX3cPVxvb9oZ/avdgjdEwC9K 0R8CF3Kw+f4QvedS2iZt/BaPzWTRJFbLenIKQR9R4M0uwwqsIEnIfYCx3JFJAvQRc9oHXu4M BopGCl0FLUAkeBmda0BcEJGBPx2ioNkJOgQQL2Ak7YoOz1nhcZ2Rf6PNXZGr0/MPPeHr3eNN +/z8uAP3/Onpcbd3aAyGJeF8eSa1wR9cth5AAXAkHIFVetSm6FDVTdgN5GsqPh4Hnx8H/3oc /Ok4+LcxeEIFj4I6rx2HEaJ8ELzUc6PlJiZRtLIZjbpgStcluNAKYyt/fAHxIcTVZRNpdrgt MDY6PTUBngwErThMWQIjMc+vwGYrnjB45yz6UCN0qfLkqnTsbSWMQ3Xx4SCQmeRnjvlFtk1Q QVQZI15ohxCghoKlW2CAducfEuasyCON2XtZEvAYK/TBwUcCh/ni7OwYAkTt7z+FEXrN0A80 +ONH8HC8956mA+fSen82oIKg3/W9wIPqQUZl6pwJEP500VRLj6oQ/cuLj4PPD9YR3D7HnEGw ki6NsE9PzjbDEHlB5nIKR9YDJ20KEGtJS71JF3OSga9XzLlgauGYvF7OF2sKkbPPLD7n9Maj 4rKmDowSUVxOfQBSdckM3kAY82nINBpqTzNVk3bjnfISxCsHZxFYGlWga2HtKZLLjuNBnLN0 ujGVyMvKaTcpJ9N3ius5KdZwsoQK68eh8yNZ4rpDXUwG9AA2ioK7kM1YLo0CDdbXjRp9tAZM QOLJ9NwmT01WyxFMowIkQ74tTS7Q2oL76z2aX8cUeDrf6MlqFdahCAdngtFg3IHQkoy4Alum lgUWVISDDtMHPJ2SHVnCWRTGktLaoKQgWXiGJbgQ82aUAh78mprUAu0uwRxJZJuHhIrTxnM0 IQpFsQTHk1UjeGYTLrmnWsuaeQYFv+HQ5iIwcXMGoYMruwYZWhfKKg9vut9+PYFlHo4d7V6+ a//3pd3efJ8931zfe6knszLhe3h9GyqeECEO8D4XPeeraLAUxEVWkyCbsbB92gVdWRMr/3gX XmUU1hPJUIR6AAymWZkz/vFeRh81ioVykIcOUxIFMXrCROAHKgRJ/OOb/v9tNrrJA4N9HTPY 7HZ395fn0x9GO+iFvje7vW87/MPVF4yJza6OMknDrAiF2qCltVCePElWgqLR85rxyYq7cOTx CW/bnt05Flf6/clJKLK50qcfT0bp6jMfdTRKeJgLGMY3ZAuB+V0nT20zWsYemNyCXhHBSOJn vlHSQeFUkqRogkiBUVxoRq7qopl33rprV0yUgRYFQ0sKijfsa3bXO904r+EI+Gs1Xuj5h8GI dag5YUUjQme5pBvf1YbV8ZQYSxdmU0HkQmdNWQdGw5sVYgMTLxGGWdKYAy+BHKnqV1ryzL0y MhjgaykAd9sf22tz1fMD4ImLDw7PQKiODXI3F1gUdA4n3fk7wBdFQy9O/vl4217ffmnbryf2 H9cafFgaRpJj3jnvATF7brhvlI3u7mW75oO/QRXdqAmyyXaNG80Nmcl2X/GKcoiDBWayR5lH WYZNtLGmtEIdCoG08b3CLFFmaIbRLIeUMqxWEK0IRPUQOQ8pRnM+a4JXYF3mGZWkEtzNJVmf btLQ9/BUxOAihqiMQRqlToTVt3Rx17Dt0uRiDSxMlxKWvUQ5WQbPsxyNNklIH4Drz9YGaZrn LGWYbunYNOwzgXc872QklM2gKTrvo+AUWH9JL12+lkRnJdHEBD1GHycvz45+HjnjHb67qVwW ukhCF4eGkXmeQ7AGonJz4v8zaB1z4w4OjziGVi8uJUvJgHhA8C7YGiyBmJy7V79wvbv5427f 3uxfdu3b2/ap3d622/10z1a7+SlRoyJHbdzmh5wWE/s4zYMbbOOI4IH+DmpUFyQJHuckADFT DJzSgBli8wqvDlK8NBxpPnBezC2aYpVO/CoFMxCDDWHkDbOoEWgZnHkpqAoCeB1u74YBJwm9 cS95buB5UxlrqqkQHALz6nea+tkVg+alr4eSBTPignPHlvccCwJtfJdOg45DSSJRMSqWX/b3 Hv7wgkJoD06dzQR01O3ExcOzqVq3abHWCUxpL31GMCfNGtgTpiHWRKWLjM/HgxKRobIxd1sK aATE8uPmYXxce6jdXGPZ/aDtDhF0YMbxPtNG29AXte6Emt3izaVpWtaY4xjhrIEivdsD5Pzc MDEeBu2AuX2zlRt9dVAAqcsS/RAuLzIHP7TpTmdqkFovpxFrt5kopCPKjTkLJ3iwNVo+uC90 6AeO9B11kmAHqzEjoHlE24+sv2QTcLiuYcz6eH8BOgPwMCn0+hAoVWPVAW6eKY8JTeRJaIX+ FyqrPocaPAOeg92DmS9HUDB0vRdHU5Yz5wQB1BSgW1DL4S0W3tcEVkk3TKH+MSVJSOEAQUx3 c5kA3n9ofV6m81ia1MmABno76c3YIC7KKPtpEKuVICXoW2eAtODoesHW1qAmHADyvmTziQfV zdGByUjjdtCzU1iD9hnErIDXXfzTmXCx3oR4TIEaVj7O4HSOgccuy9AF0IqPHRBBc8N5k2Ik a/VTvnr75fq5vZ39aYPPp93j17suFTPUgwFat4xjSzBonWH3rwwxRAPrirWBaXrx5tt//uMX J2Lxp8XxAgKnOTAvCGCJV6yuOTVXkrLEyU9GEuBltUxT5/UXnISuvDqcpkJ4tLMFB30WwOs0 btin6caRIj3UckbuS3tMFnaOOzBypAADHC6HEqyExYIWyPQSb2+jO5a2NqkAh6FxzF/iXxZh pYRMJQMG+4ypSx+CNRSJ9G49neZY9eVQfaHoXDAVLmzrsTBQCxPeVAl1oZaxfOFKHURbJ6FE op0Ck9+5HO8BCchrMpWl+nq3v0Mveaa+P7XurTFemRr3jWQrTLJ53ETAX64GnHBZKtu8gsFl /toYJeiw13AgemBhnJ5FSDrAHSMjMy49gFeslzG5nDjvA/uyCvYnm+T44rAuTzCpN5/OX9lG A+OBjqevzFtk5SsDyXmEGsNUBQjWa4cjm9cOeElEGTmcPqLNWZi+eBt1/umV8R1piM5gBHxy qYUsX0LwnTK/zcTutvqZz+TNH+3ty72XV4VOjNu0CVYa+dcPDnB5mfjZiR6Q5J9DibPKbETW YE5Q98KS/XJnCzf5IAs/Bgv2XYPqobHOLtDv7V+KEQVeUqpF6ZR9G2tllw7KgK8r11+2954R oJktAhsSPOY46D/tzcv++st9a157zExly945mIRVeanQmZs4MyEQfPgRPX6Z0Ohw2YB+4QKI 6tW+dGPJVLDaK07pACWTobQIjt7FXWY7ZfvwuPs+K6+319/ah2AqIpwXHVIwXVK0JFVDgtmg Q+bTojihRg8Zu9t2KrS21I1enRTrBlPONARawX/QjR1nYScY00mtiGL5nZ7C+5h+3nhJOj9P Hty+KQhRVvy9SgrDFiO/N1Taga4nyTKh1aFcYlBtMpT+71nHUAIMgOl+8eHkt3PXZZlGRWHt BvFylRLQGkFwDgGiwrxORDWGS32v6lGSdoAkTdjvuDKOJ0+DQNgxFQKTyEo0wK4m/4d1pUFs k5QxKH0Ie8zxRleoKxme5rakfWGwAgNjajECUUjd5T2HXCwVGNvG6+eByXRCq3RREr+MbTK0 ojYodeWqosr7ADrMhZeYk8sEZYhWxn3ulUHV7v9+3P2J93gTLQCMuqQe59kWcAJIiHjoJAzz NcYFSb2EtGkb9x64swi50JtcOMoCv0wJy8WD12SKXB+GsUwjOEAar+nTsNtrcKzwhdncDgIn xqRiaWxxmN7B1PeDS344fnc5XVNotoMxdE+Q1bZ2t3uaMzBxffB4teBg/MJ+OKDVVeiSzHBG 7T9Bs21zNEG0bEIRscXQqqkq3xDgMs0yQkrwsgJtx5fMjxPtWCsVLv1AaM7D1X0dbFhJ6ECQ jJoshsMwDVTW7mn0bXhZEAlVmV2nf7Cm0Rx5RwofcqDPBB0taKd8vcqsMcbxARJKx31RlkZN Kq37Zn/DTVbHZc9gCLJ+BQOhwCaYIQzLFM4Of84PbBqg7QEnbRI3r9ZbsB5+8ebm5cvdzRt/ 9DL7GIvaga/OY6yDz1IxsxrRrri5WtX4NFZKll+OWNb0BqNs0lKgEco6bD8AdZy1PTS5sWr3 6nfXogIGp3Lf7iYvgyf9Jyp9AMFf4EsvRyrHB04edkUR7cvQhzhCwefHp4LgOTQTVvxXlbG/ Xv/cvHiCzmBxX+mn8QC903GBaLZDasFDwvda7mW7BzzUoocn6IoZw1w2RjSM8jqqiadjq1bm kozrLE1rf8k9RKYqAgGJB0eURjdDsHwoVBzhYeWqHh3WAFucnZ691p+JNNofjjyB6FRH8nke rqx+hJg1SPEPjEWqsMn3sVjQhnrHbKnjEf+HhHFeNFRHHpvBMBWJgsx1WIReh2k2R7DAgEoa cZJrvfI62XxE/d8f0FM5KnBBjBr+MDpxyY3jiJDotoBnN5dHUTJwkY/BUYkQET1+BB/rLihe AsdRgDiABbH3UdICCqzhCE5S2zOKDYCSHj23NMLdIvL8UoEPE0lMht+vFKeRGRLBsnn09Ztx DiQZe3rQFBxsVZBKfzo5ff85CM5oWkU4tCjS01imtQg//9mcfgwPRepw1rxe8Nj0jFKK6/4Y 4SKqjryVzdLQM6SskvhEk+PvT3hZHTgiYjLc4fx0TauVXDOVLsIktjIXVRRGC0W9vbIuoj1B W4enXMgwUxuqmJWO7LuHUZyBbZeovI5hVWnwnblw7yVFbl6xu670xn8P3T3XNV6f8OtGQzjW Kwz5ssZtxgfd8lL7TxGTz16ohA/4fg/+EoaJawr8yQrzYyZ+YD7bt8/70d2hWfVSxd7yG7kT HDxlXjHFw0eyICW+QIrsnER+JSAsEwRU50bE9Eyul2koX7VmWJUh/WPJ5yhc7ycW6ADYtu3t 82z/OPvSztot5mRvMR87K0lqEJxsedeCATzmTRamFhGrbC+cGq41g9awRs2XLHJ5iBT+LZL7 IizyQJzWCx27pqvyMPFqScrYIwoToOZhWLG2oWRI2+DDJEzsDZwKfG7eU0zidJBD1BLhFCBh BV/R0CMGWyvWMXzPz1n7191NO8vGxeLdux3nLsTeAntN44/ut1qk3zg8XR4ImDKKITfIZ2Ch 2KmUo6GxQmgpR4McqaM0M6smYkkAyHjkpQ3AQPnEYWSkcgbh7Sq9AWsiKdh287jd7x7v78FZ G4rzrRxd37b4JhewWgftOfhSCGgHrJJRiFlNnUF0peADp+x9pEQeEbB3n02PIVG9wUevm8mO svb57tt2fb0zy7ZRszws97Bpur19erzbjreAzxBNRVyQUs9/3+1v/ggTzD/hdWfBFI3tICUi 8tMIpGZZ4HGCKRC9u+lkYsbH+dfGPoJe0KJ2EwpeM3CJWly8+eX5y932lz8e90/3L98OhSAg v6qs3VC3bwHb0HjXLAojwcKrFquFnShnojR3v+Z3UXp5zu92D3/jmdw/Ak/thlXna1P+4a7Y VmH342AZ9qBGemxbJWg3Fcp+F2ghsUjBuc5y/EWsLMgEW0Xc6g6BrkTEKbcI+KNh3TDavm8I O9WIRvBJYY9sqk0Dy3ZeUJvCboPnaF4HvGoK+CAJCIFibgGOoHPvasp+a2Z+neZQQn1r9KvH t93DmLrUI/U3GCWIY03NX/hGoopUvpQq5Aplysnlce8HKniOqX8V+U02gOKNovIKPKHRPioN gpY8+d1rwMsuLzcGbd5dMnx7GXb4LjP3px44BoD4TIpm2t5PustHUxf+gRNbRYfvZg9vUGsI AG2ed1APtinQvyu+CRX2VI155Bg2wD1S8AcfUnAAy9CQqGilhB1CYHh2ugm7Pj1yE35o1IML zr1qpqHV3D+aIrmLT9NhU3FZK454R2fPRBLa2oE4SeYmGfpmuYxXMBn45tORQQUppzvCuke7 mffnIZjxKc8/fjw7/z/KrrbJUVtZ/xV/upVUndwYMDb+iAW2tYOAQfhl5gs1mZ2cnTr7Vjuz dZJ/f9US2Ah3S7mp2s1a/SAJoZduqfuR1fygo7PsmF23h6xkIHjawvn+qIVswIk+gIWAG+iS Xd7iptilfht3czTyfLvilkeRj5bY234JclQnVYLO1mWNy8Hr2zM2Q6VZHMbnTi3QuHKh5nnx AOOYMNPTsqVoOHageDHcSm/5Vuh1BDfxmVxHoVzMA1Ss1KGikocGSAEaOB/G58i9mqEL3LxK 60yulW2SEiY2l0W4ns/xAGgjDHFdS+alrBrZtQoUx27MZh+sVm6Iruh6jk8Se8GWUYzvxWQy WCa46CA3vSbVbWW6XiREFdTAItXJQaW7Ifm8oo41cA/gi144nYmNl0+uFmeBKcJGosZciHen Xg4Re8RJc49QpuYyWeGbUT1kHbEzfobVA3jWdsl6X+cS/yw9LM+VPo5Xl21Wwfym+xuCx5e/ nt5m/Ovb+4+fXzRrz9snpeN9nL3/ePr6Bu0y+/z69WX2UY3n1+/wT0vf6LtNwWUE6gne+WHr MwWFs751+ORf318+z4T6cP8z+/HyWRPsvtmq/hUCWk9mxRJLpozv2+SjWmis1OsemVqqJrrR pJD9t7f3SXZXIXv68RGrAon/9v3C0iPf1duNnbB+YZUUv44M5Evdb+ut9MbTPT575WyPzzrg HaZanwHbGcOtTg1pWnn+Bwg1jomNpU1apl2KbdKZ0IjMOpDi2W03BC/ofrm4ZTPSLtKisjx+ m5RnQEvbYFY+PDCydODxbEwdp1PgTNC4Jl9r0Bc9e//7+8vsF9Xn//Ov2fvT95d/zVj2mxpk v448AAftYhzssG9MmqUIDqmVRHXhS0bNrR4im04ZZJkV9TOUscPKkPbW8Ph91b/B5rNPOrWk qHa7yeG2DZAMdqXB+sE/XDvMFW+TjyZrbj7STZlbdvv1bATXf3tAEtir/ZCCb9T/HJimdnYm 1USngV54tC6DpKWObrRUc4domj26cHbebSKDd4MWPtCmPIcOzCYPHcK+y0Wn7qz+0wOMLmlf E8c8WqryWJ8JS2MAOL9HSu6sGHHK3NVLOVs5KwCAtQewXrgA4uh8A3E8EFw3JntwDFH9woFo mCAOV7Q8V8WHuFwotUTPj2V+oo4MLhiHDnPBuN+0biMfIHSPPpE2bX3vaK7DVu6Zszu2nLAt TRUeGnztMuVTemO/cpyjYB04St9lhElm5rHaNckBpz6+eg/ylNpmNXVvc0cnlQ8ijliihjOu mvcVdHSze7U4cNYFIaW1G1Dqm5oyFq3jvxzdHSq6XuH6q0acslWwdrwrvV9vlnvhmTNqkcwJ A9Dkj62syiofuQIrE11Z6JsKokQhyHykcYCsvnrks9FG/H9f3z+pfL/+Jrfb2dend6X6zV6B NPPPp2db24ZM0j2hqF2kXV2kLXAR4do4IFh+xKdvLb2vGo7b37oM1SdZsAyJT6FrAdO3p6aS F7ZxNWpE1RAXtUy1yfO0sZ5/vr1/+zLTBNNYQ9WZ0i4o+mld+r2ktkBN5c5U1TbCaJKmcioF r6GGWfse8P05dzSawM+MtIxgbjO9SumlXBJcz31Lu4SozqNFx5OltkHaoXB80iN3tPiRK9Nd 3mr+9T9vw1r3LaIGRijwAW6ETUusEUbcqs/jlNfJcoV/QA1gIlsuXPIHOrJUA/JtivdJLVVr XLTENwouclf1QH4OcW3gCiA4+PS4b5Mw8MkdFfigDOIGZ8vR/T9lenPefkipBkrtxjuwBpR5 y9wAXn5II3z9MwCZrBYBvkejAVWRkUPXAJT6QU03GqAmpHAeur4OTFmqHBoAvhuUwmgAGXFM qccy4TJkhHAE0oDDsyN7NYssCR2gRiYSW9hWcs83jgZqG74tCE2mds0tWnji5aayafHM3MKr 3759/fz3dH65mVT00J2TeyCmJ7r7gOlFjgaCTuL4/q4123zfxynvnHWk/OfT589/PD3/Z/b7 7PPLv5+e/8bOtSEf56E8AG4tgsEeyG53KMZpwlwrYFhjrGSI+kwbKwmUsflNSnCbMh+f+fSJ i3iJ1s+E0OgD8i+jVB1kYEXnbG4OWibvlYmBzuj2nTPrnC1DKLeuos1hy6txyQO8DxUWaZnu 8kYHp1J7MBmQDgCPRY0GVyixPl+7vrJKkWVa66t57KLbPS9BYzhyiAlzFEgfRCmhjt91IvIG czLPIPhKK8Z2rcBN180BqkBT7f0qecybaRNf+gGVWza9vGIsJCMK4UtoFwlKui3Su5zMV82y FCEDfDLas7NvI93uhDeD8DA+GEY8+gxse5AYpRl4v86CaL2Y/bJ9/fFyUn9+xU5MtrzJwb8P z7sXAok0OrGopb+ENaJ3rhiHV2YbYDUfD7g+Sc1TWH8ABtJOjgnGISEXB1GpLrZpR+NZLRuZ UrnEbQoYg8G4zJFghasSF0QjogCp1yiHdYCWGAQhnh5aVdEvCJEIIm9RxxkTVGMzxAvO7WjF yT0cavUEWqXrDALHsOMxld9r3jvC2UY7tOJLig5Qy4mjPfUq4BeOynhNio5nSgKLG+HCsyO8 3FUdJOHhBbplVcoK5aVtD+W4gdTP7qhbVl+cR7hwHqnT+7IQqGosD+UuFxCIZg2BZuotb8Yi uKJeD+4mnoDZ69v7j9c/fsIRmzRecOmIqPCW1VfVFeiKJmHG5kCii5jtbnKsGmorqn2o9xX6 dqP80iytW5sctk/SfIxbjhLKjjNQy6h1zpS3QRRQwa3DQ0XK9GJmXW4I9ytUEjOMrUfb3OKB Y3nJ2XUImd+Gyr7lO6AFs17OnIq20vdaIn0cF2OJbBIckSVBEJAOIjX0GdsQQvJU47xseYoX 2DA8HTpKZR3ypG1BBW0U+CYbCCjXlyKgjpZ93/egtA0rRsWkdOUmSVAW59HD5qrEiVfVAt+i 3DABcw+uGMC5DCpgk53nYcBAd4muTW1+d/vT5FZFyJfYUXqQbS6mXg/jB6m4hOu7gyOwXRoa OHh9pvccHj+jJlcsAMZ66MgPVhO3+0MJ7qEwemrctX4MOfohmx0xMY0wDYEx9euoGMOC3x+m rr43wkkdkUbY54W0dz/6pK7FR8tFjG/IXMSEQ8hF7K0Zl8yqV4532fEjwHZaWoNOLWFKp74s KLgGOxHcZpzZy4MJwC/wiM3RUzoyc2ywFSFxaZTqDRCu7c5PqZJFblEMbvLQW/f8ke1tEgaT 0pW17I1AAa7X0znkNqe9lcu+xjntxw8c0lPO0YmbJ2F8PuMiZU1Yx905XhAkz6e4OeFnt8NP 4VQ6MYr5mXpECYhCQEJlt6BqpgTUM4RJuhXBHO9HfIevVh+Ep2v1m53WBHoU1Owi7wgqH3n3 4FnlhSolLSurF4vivOio0+LiHNOmo5LKk1O8PXnqw1lj97Y7mSRxoJ7Fd3bv5GOSLG68lvCc q+nQU+++WkQe1UE/CTfWoMNDPDSWOge/gznxQbZ5WpSe4sq07Qu7TnAmCbcXZBIloWfkl2Ah TqnuQqI7Hc9orK+dXVOVlZjQC3jm39J+J96d4W6z/8+Ml0TruT3xh3f+L18e1dJr88jrG7wn 6vHtg9WdVWOFrzwrXk+SlJc7XtrcN3ulvqvehzb4Qw4RLlvuMYzMCfw40/sijSjvlvtiqlOO RET3VIWd87Ijn0P3WcY1PICTobCUuHsGLqnq5dEsG+H96E1mXxSynC88vb3JwaaylvokiNaE fxaI2gofCk0SLNe+wkrwwEHnhgbCsBtUJFMBFr01IGG9mhptyJP5mP59LABKz636Yw1LSWzH qPRuC5/L0+skL+xr/iRbh3N0Z8t6yvb043JNOa9wGaw9H1QKafWBvOaMdIZR2HVAHD9q4cI3 W8qKqbkyP+P7HbLVC4L1eq3Qe4veT3co7Tmhrh9EjtMo6u0eyw6AOPSSWAQ4du3luOSHsqql TUuXnVh3LnaToXn7bJvvD601E5oUz1P2E7xjtdINgEdJEgyyAyYltszaAr1SclTm0Z7m1c+u 2XOC7gWkR7hNZbJRfpvtiT+WNhmeSelOMdULL4DIp5SbyFdrdcoy/Csr5aXGWh0UwxvCQp24 se9DMmkMTpE4NSMbDG83KXEmNGTciQNcYgr3efwToD6HUfYSsXGswXsODsHkYqExagQz2MUm 9pEBUjHYkKPlvbWPtKTqngUfXwx8MvutJpKJ85n6OXinY6eqcA/sHj92GfbTaABcrU0K22Qe 0WL1TcHN1SVPVi55v8FFAhhnaUbXvbf0SXmWqs7pyD6rQYkNnfKWJUHgzmGRuOXL1VQ+DDl+ zrPp3jpndXGQZI7aLu7Op/SBhBTgntsG8yBgNObckrLeDPTKlb1BY7RF5RRrs+gfIFq6+S82 EokwN2SldE3unY/3Op1DrtUwWq5UMedrgmpAC9s8mBM+YbB7r+ZzzujCe5c3Um7WgG6nZpiw gb+xqakekY2pH0AFb1NUQmKWQ8x0Pj6PgmQH6xSIRV1Tt7X2ZKRTLpCrvMrtGujoEDtJR8u3 tt+FxLfrZLEfPQwBg4bSZnIYDAKWthPoXXrKxw4fkFbnu1SqVdBKbNoiCWLLn+SaTMcuwm5B csbMd5CqP6AlTPKE6qfnJAlW1HNXxLoLVkl6+/osY3rDFMtbybocDdUeI0omsIfNhuCAIN97 yEVsiFX38p3Eekl4Tg8Q2axXhM40giQ+iBqsq5iwfMegtQ+0K5bhHPcoGyAlTOGEx9uAgZUC 358cEILJVRK5c2nKjEuab2X8LeRhQxH5DbDH9NAQ5A+XnM5JGAVz8qRwwN2lhSD87gbIPVwk diJO4weQWjPj4Ez3EF7vXVWRPG8a7elJQo7F0tN32F7Zr25Ies+CAPXdMLbw6Nf11FqYLQdM 1lqHyuqnI0ZBSWNqU8vOVIxJzsai0XElIh0OchDRsNVPiBrJra1Z6KgED3zdcClizHd+nOl1 mxsT5hlPyTZt0v40B5Nd9n8w4TgidCwY37ozTm8J/ONDNt72GYu0qp+X5SU+INd0ZbPTKzCO /XJLvP4r0Jq9vbzM3j8NKMS8oEbXUZzhQJ/a0lOWoSQmbu2ug7B5XZVcmRFMc0crxz7a+fvP dzJ4l5f1weKwVj+77RYIV6ZccEYGnHoUHaBBmEse7gTRCQ1IpHCpzBSkK3x4e/nx+enrx2vw iNXe/fPgLoaTExvAh+oBSFy+2Kn5ccLsMiRPBv6o5SieNPPkXf6wqdLG8vQY0tT0U8dxkqDN MAGtPaD2juANuUDu1XpI0EeMMGGw9GCynoeyWSa40/0FWdx5K9WydLkI8LCIMShZBJ5mKkQS RfhoumDUCF1FsacpBcNX3yugboIQXw0vmDI/tdQ9RwMG+EDh1M1TnGyrU3oivF2vqEPpbexK jSbcoeACOfv7EUvrIED16dHIs/avIKGrJa6iG6nMG55SF78BIK3rIm+rA+Fha0AbJmIqCNEg 2ENa4xqRkeewHlBMGAZylOfzOXVloiyntNampTunK45SQy9TFVxnQZxWa4hmLyYIcA0Amk6y JieOiPtvN7mQ6GqIC77AGUj2Tz8+alo5/ns1m5IIwPHlyMXulnhrQFwtTEjoeDJfECGvWq7+ Jp2jDEKpYlSPM4CCb9yAJj05pL3xf64l2bMNsHcUdIOUVFD3ePfZNMxXUO15oapQDZ7WEl92 DxqEinapyFEGHvbp6cfTM1CMX6mi+mfa8f2sx5EGwYxHrrlco9DbS3KMHABY2vRS9v0JRV+T 4aKtzLpwFi60WSdd3Y4vOTchM2RizyUWxku7SdMCrus1TIwE30FZPVaUC0C3k7h+py+rVmYT QeQKF7XndVo33f7YbR7A+xU9YikyTSBzAOa28b3WSsOZ0OWplLsJc5wJkH358fr0GVNq+9dP wvg2pKn89vU3LXgzj2tnZiTmoM/jkDYtXHpA9lzYfRQpe1QKLxEgbkAfiObsxZKxktgMvCCC JZcrijbCgPrx/KFNd1DzfwD1wfqpRM0k3gwb4lTYiJuaHv5KvJVFV9S+MhicocJ12Bnfcaa6 DhFnbdD6NlNiu2J/ZN0h21A3vwiuVoEyKwgbRg1ic88y0rP1zcaWe0G0XuLLPugNcIiB5KIv z9F7lONgk7NJV9aXPeBVXXdsn/cXheB1bpn6U+N3vR2nBJPqsxcPVNuZV1czwUHqK7ZvbQ+l Wdwaa+HIwVv96LTGxsttZSdPL7jUaXBx/MT2Ucn4/VIg6elsYX6xc4LLvjZXHmmo6UVJAFav tykV8EwKSP8EzF1uYl+TPQ/iCDc9LvIlwcU3yIlAaS0X2SrGLZJenEy2mSy5Ul0cQiqQF4QQ oErcY6GkpXZ/wge4lmt/qW5X43dxAURyGcdruuWUfEnsdfbi9RKfG0FMhfj2srq55VMWT8/e bz9uoOqUN2olGPest7/f3l++zP4AQl3zzOyXLyqzz3/PXr788fLx48vH2e896je1MD1/ev3+ 67RLZbnku1JTJjsDeadYIt5YjxuCXR9kFW316ddknnhi8zEERWwNYoKZO/9LKWtf1ZqsML+b ln/6+PT9nR5tGa/AJDoQhoyur2HKVRq10uxJVFNtqnZ7eHzsKkkw7gOsTSvZ5Uf6xVtePkzt JV3p6v2Teo3ri426xPSlSPZ3LSxSIgTNfH4I/qWpSC8QmAU9EGry5xGxzNcEe0dNqJh79OaN 2r5ZQ/283dg2M3MtZ8+fXw2tJEI3rx5kBQcn0Dt6TRyhtELqA+1qhHgdavJviJR/ev/243YF aWtVz2/P/7ldEeGGuCBOEpW7ucl4vLFr/EZmsJVYUjfGjXZ4nz5+1Hebq+GjS3v7X6s1eMna Bt/CgHeibpI44auFnuu69EiwMmgpsF8TbKpaDhcxF5jjxE0kkk4Y+vae3+65lobXCLUEeurZ bLUICP6nMQTfxrtCRDAnNtdsDL6M2Rh8Fbcx+G6ghYm89VmHC8Kv8YJpSXoJG+MrS2GWlJo/ wviIgjXG04aSrZa+byHrnLg76QJpz7U7k0wuPfTIQE/sqQmP4Xo8giaux2xXcbSKCT63HrMr 4iAhLckLJpz7MKslcUI9Qrg/5J7vlwGhkA2YD4zcKDMANRU0QehpX03wQYWjDJiWheuFu8to zNpTVssWQez+mIAJCU4fCxO6X15j/HVehMShh41x11mZjsFyvnQXpkGBe87RmKV7ngTMeuWD LH2DRmMib3WWS08n0xgPfbnG+OscBStPBxKsjnxrRMuWxIVvl08qCBvxClh5AZ6eJVbu11UA 92cuBMXbeAX4Kkmc0o0Avkr6BrRa/nwAXyXXcRj5vpfCLDzThsa437dslQ2xV3YkpzkEByhr V8nc/W6AWRO87RdMrR19nZiKKUMqIQ+MLrM52ybxmlAZBWVQDE/LfesZNwoRETSfVwTz5OHY ZhgwuWDBgrgwYYQJAz9meQop3s+hQkKyxUoEnm4q21auPAuTFGLpmeLTjAVhkiVeTVcGc88S pzCrJPTko1og8elGZRrO3bM8QDxdVEGi0DvvUhywA2AvmGehaEUdeEadhrh7hoa4m05BqDtD xhDPKx95ukyWblXv2ILHnhNySqLVKqIOOK6YhKIyHmFIuuMxJvwHGHcTa4i7BytIsUpi4lJT G7UkQlf0bE04B5xSuKO0wtjbJPgRV1LyTWGH1kmM0mLDRIrCQXBjDoufn99f//z59Rn2Axyh JWKbdSlrE6U3Ew4DAJDRijD7BjGh5taCM+MfROj3+nlwOeyAnpERV+9cUfuCETSUgNHuFXNi ltCAbB2vAnHCvb90Mec6nJ9pv4gtOOlkE/o5+32zdD2P6DqAOA6dJWgI3m8HMWGZXcT4wOjF ATHBaXFR0lmrRREig52V33OljAe6KVCMWp71RZQMryL4AHDiEAJk1AEFFP0hLR87JiqK0QAw d7moCR5UECeJ5un2yOlvo+VL4oIj03vOwSIm9O4esFpR+w1XQILvHV0BxNx4ASQLJyBZz511 TNbEDtdFTphSVzm++Gl5q4w+x+N5uQ2DjaA74ZHXQJROeT0ApMlb/CQKhEqNjdUgoluoyVhE sRFreRvPXY+zuI0Jy0jL7xJCN9DSMm6XhPoGcpkzB10GAPhitTx7MCImdA8tvXtIVD+mpwrQ aVFhujnH89vbouyHlVrjkD5IRgViKnELbP9RFJ+7VrLUsVwUdbR2DIKiTlaE72tfTCEcPSgt BHEpRVvLZTCPCc4oJYznBJWzLlcD/o+xa2tuW0fSf0WVp9mqnD3WzZZ3Kw8QCUqISIImSF3y wtKxlUS1tuWS7JrJv180SEoA2U25auY4Qn/E/Y7urzuGfwkgzsRnwKBPjy8omi58xyJWIcbE UcNKpaMCATAhHmzPgPt+91qpQXq+Jvau2SrUh7iOzqYBQPzQ3RtXYX9wN+zGhNFw3DHeM284 nhDeJYz8IVp3NOlyPenYD4TSm8dsRpC7m11NKn7ImHVW5CqajDoWPi0e9rtXfoCMb65B7u8J /VeY2OQ80pu0u/6kYxOnMthb4A2e8lkeMureJO2aFsEuxLxIYYqEs+P27ff+8dR+wGMzy1ZS /wAFvlhHYRkMLmfgHMCy/64CjDLPLMkVeAE9Z8QnHtV1eOEnhec+qpvcMf3JRcGxDPKS3r/Y x9P+0PMOSe0j7r/AMcjP/a+P4xYOBmdw5PfC/T/H7fFP73j4eN+/XiIKjtuXXe+fj58/d8fK lMDSegimwG0Ot/OX0umwWGYi2NhB1r9r58+6wn3nK9/3nN+e/n8gwjB16L4rgSeTjY6FtQQi YjM+DYWjywQx6ZYXsxhcPQpUHTGABoHdo01sqwOnzFsY1QEnFHCVipELz0Roks9Ktc52Jf6u dY2Q8xiUQaSUfV0AxMT4kgsfbqY8HdygzBBa7PpP1gF6Dx7qmsAfaE1FqowU6i5MWEVAUp2G Axqg+n6/STFk9Z6aWakZVOmP2TFVAooh/YKwW9GOIBWEqxqogTvi1dR0lSyVRAFSfUK0OVXP Qa4C3CWYzFwpps36oBmzTZ+4giulZCPgyxVI2JJ6bAMp4YkB6ppLPfqIg5+WLzYpfjLTsqEf 4HM+9DYpfSnxKR/E2eR2QJYmS4VPUapDDaW4FrMZbGSknp5zKQoYqCO9+83p8uQ+flsEfW4a FbN1NhoTazEUV6RZTtw3Qc+sadRIwFRXF7HAmvYFJ+90ye76GPvfuQsXoefX66ilrK4DvZAp VTPKWHbjIMP0yVoxOxH8acsr1xPO7dhZqM/l96O+3swR6gAXJPOTyYR4cG2gCC0GqzKiIfV+ aYGW48HNXUg4Lz/Dpr4+NuC7ditbqbf2Ymx901O2yoDF4eIj7HR4Nq533563tT8PTJEK9ise SVReutT2mnYOTrD+G+ZRrL5NbnB5Klegz3yeGlMW8dKduRXzpR+2xUXpFgRMhCOWEpMe8lkq M2Pj8ekPfK5/pVzv2dmCNy1c6x4tZ5bOMfwCDQbgK9IDExWY9RSVeGGeDQYjiz1I5rHlAt78 BOevDc59N1zXC9fDR1jW28qJJfZLvXE3KDEMD1bAfOXzxA1S/OEyqK3wlK0ivfS6gTo/QHDr 5KKIxFpXsBa1EicDgRphJmzLnFpYlsK+T4dsp7QCIMj9Tczg7jaCvTvqsSw+T2rgR6lgiWgk fXb3awXW3vpAGKhmpi5SEWcEZTDkjdjbmCgiPaZt+4CqQXIgynaYPc4tBcOOKmD9Ybva4VNo zcK4J8FlbuiFXcUtTTN9R8pCSfnZhNLqo4MgWMxMP8oSRniyM9kszXn6t6Qje4gjyRtvbk7/ Es3yML8/IYyfywKp0Q3FKQhy2ivcRWwOG4Q2F4DyyYRS3avElHpVJaZ0uEC8Il46tWyaTYiL KpB67KZ/Q2g4gjgSlH66mSjWG8q3rPlajQYT4sGyFN9Sr8UgztYBnbTP0pB11NjMPFeT4pBt Oj8voydeoevoaXEZPS3XSwzx1mtmWloGft6p910tBkNFQmP8IqaopM8A//vVGOhmq6OgETxW /SGlWnqW0/0miCjrGLOK+IRtai2kx6heHft3Ha1mOFImazrnNYBOYiHTWX/Qp4drKEO69cP1 7eh2RBzZq0WatMzT4jgaEEZJ5cS5ntOrbyrAwSGh3QnyiBMOFivpPZ2ykRLvFOWqQNxAlwsO m5BaJxf5lfnZnNekoofGck3qiWrpJgoaE2Vp1+7/Ze73HF130w9Z2VmINQzkCXDZhBKsdH7w b7cjZ41LvMbOprZqesFCjX2dXuwbHzHJXLwOKAI21cczmMFknrXFMt6s26EZU0iglLHg7XCz 6Z3myBe1pBCDhjRXUzfvwNfEct/1q1cLctbvmCFKxrb1gN7hlBxzghEOkCvEbdMfUQsxFwHl zM4szZ7fvApsRZFIQsPmIp93IzIZtwzvW6Al0/suegwp2b7Qngu/fdM+Fw5Jjf6pj72Z3v1u CpWlPJ4RFF8aSFEl5HPU5x9EfblLKC3N33aPYCsOH7Rs/wDPRk0vTybU83KaFKREpKgFq5EB p0grSggUhE0yyPMU5342FcbDhYhb1cgzmRQB5qoFxN5cH3it2/wyTOhfm2ZMnsypdygQ63OQ LxaccDNrIjDvMFRGSg/HzUR1885knFJOqgHCI9UonysOOaV7VIolkSP+Q5emmZ8Zj6aC0Dww 8oB44gHhXALJGCnWyXX3p8WGroXcM1z/pHzFQsqFNYiXgq+UxP3zmHJtUnOV0qwPIPnFLo6M LGt18O96lcD3KSDNViLG6STK6omV0DNBOxOhZ1YsMt6Qx3JJNTNUGza863D4kWDEo2dA4Ly+ QHCaR9OQJ8wfUD0TULP70Q0+MkG6mnMeqkbkkDFzC29IfMgCR7qxU+Leq5RvgpApjHsexCkv h507LZSEvTLIGsESeP7aI8WQwHb355jwalzKUoEfWEAKDgMxdlkzEbEYtDZD6RKfWcFd00XC 4wgYV6jIecbCjcu+bsKBrsKj54Uk1MmnMMDo+dFcb+KLadkqOgJiJ23k0vMYvlyDWDFB1xni W8IEg4Fdk8jXRZD+OSup7sN6reXYvZtB5DEQoTYTTimjYpiKgEeKKeK0ayKN9Gnmu9xAzPRk I5b4rt0IZaIo20IjnwM5RnlBR0/JsDcpEuItrpyUu5amtdBdkZSC5+LOAgLbpNc1C5Qa0MWc sEc3G44wcRIoORDVFN/FlXtX350fEjugQpRcHxeGDieycwYM0Qe6iYNo5NwTxVTMqkd/4Ebw 3ISaCPA8gCDgPT/kFciVt566zA5fRpFsAA272JypYu65pXVhjTtG82Uc6+nG48DaV121t2s8 2p8ed8/P29fd4eNk6r9iAXXr3ufGW3kBegtCZc2k6ItwByYzfN6tZMVqrieSUChsiiyPV5lU uZ46zP22PhB+G9jihvU3BK1MtU5ZgHc1oOfwLvQcflu1wnx/e7e+uYEGIHO/huZuACwxr8TN 7JnwVEpgv9bnIqrcBpYB+fNK6W11o9cbKdL+JjxQ+IuvnStDvSXxhcvFddF3mEZc54P+zTzp rCuhkn7/dt2JCXR30DF1VKm8VCkSWhVJn1GatdJEoI+TCJBKp13v8tPVlSO9xgGoENxMdCHS Cbu9Hd/fdYIgMxlXmblxQkdCxfbqPW9Pp/ZJ1Yw9+03PzDipoWFujTifLm8WtQ/tscz4//RM YTOZggLJ0+5t9/p06h1ee8pTovfPx3tvGi4MKZfyey/bP7WW2fb5dOj9s+u97nZPu6f/7QGl hR3TfPf81vt5OPZeDsddb//68+CWqcI1i1AFdyjQ2KiK4JnoRee4WMYC1pi0a2Gg9x0ORbYt FAruZKg86n8zatqoMcr305t7PHaQjce47HseJWouW7N9LWchy32aiL2GybiD4dQGLlgaXY+u Os4XukI9muW+RvNY19H0dkC83ZV3c/hGRLxsfwEt9kVH0vks8r0uzwDmTEOdyTVAJLRWqfne DFyfoMYzi+6KMIaphLTvCOBCET6n6xqm6DtXl+VcLQ0n7nadm6dSd5aonk8RHRtL2qE7ZKGY SD3gg72KSxfDvqtm2AZVV1ovaAzefEiYZFsgs1mZc3r0VVSCYibgQo+H5s6TSjHRqx3llKPG VB0/mqBVzKOEz1BJkPmiUOZiui1cCr1TRyUiYQ+4AMdzf1YXkRYCgz1eBcGkPyDea1zUGPWR anc2o2VHlGlFJC9yzGudBYALSH3SLxKfoVFXclwWKoEL5FQAQydeaZGXFbmuFCLLRmXvWoVF Ut3dEe/KDdiE0Fu1YeucvLm3YDFbRuhtm4VJwsHwZkgUTWbidjLG9VMt2IPHcvxawwZVjkCv 4VTiJZP1uDvXigUcbSsQFAnTB9DWLv88y4HDkJVIObgYuJqbTTSV2IW8hcnwTmVUur8zb4FK 13oalREqApcpVIMkTXU3BBPFAvE6ZMXgEXcGdvbg7qCIrnaxlVDzqSR0ae16VDnlF9HuI9nV mSdP/LtJcHPX4TbnzB6L0c7B2umethFNfnPcigRhp1tJCQIws0v386xzRCwV4SDRHCaEpBSI QRzymczI63CD6DiE1MuXt7nzCEPjEmYM4+mtiU9fUJuTIyx2HPfOaWoIHsJ8vcGB64NmTxVK /1nO6I0RYQNsDjcpiz2+FNOUtCQy+ZcrluqKphFwUus4iyuelYe5QKyzvGMHKRSo9gbEG6YG bPTX1FLKf5jKXLfWHrio0H8H4/6a3n3PlfDgH8MxQWdhg0a3BNGMqXDwyqGbiqetejmPquT3 n9P+cfvcC7d/cMrPWCYmtrXHBa7qV+96hx0uw2ZMb2Lwpsk2CUFbasaVIXlfiazjEJSHiSCp M/MVXtcRZczMI9q1AlwH6iGApwQ7VWCLEKEgbECE/m8spizGbma4D7odmYTLQOWluXXgNaLW tWeaeYXj5RQCjMa+GzT3Mqk2eGCtR/zl+P5488UGaGEm5577VRXY+OpcPoBQyrMgiyuaedO/ dIDrr8cCijgLILGgkWsTDrq9SHCDqtoOL3Khj7NRjt/nmVynS3yQwE045BQZGfV3bDod/+DE g8IFxOUPXGv1AllPCB6DGuIrPcpwgwQbQjDuWJDbO3yZrCHzTTShKLNrDNC3Ud7Aa0yqxt7w SlpChf0BYXzvYgidrQYIX+Jr0FpDcMveGmEYtQjrJgdDkX44oOFnQJ/BEOQF59YY9TOCGq6G TB+GA3xeqxFqOB7eEySVNSaIhhQF5bnVdUcm9KMtyJhQJ7ZjISgvagiPhjeD7vGQLjWku3Ol y8mEWGzPFePrcTdpzQ7Av+zODvbsA9zwoG9lLBfOeCAX/sSs4qshdaa3usWg/5ni37sXWiVF 8vP2/efh+HItH54+3l6bTQaEJb0FGRN8RjZk3N0GMG1NxkXAIhESzoEvyDuCn/ICGYyIvdO5 zbNF/y5j3X0nGk2yK6UHCOGdwIYQXsjOEBXdDq4UavowotgJz/0hGXvEPq2GQI/pHrw/NvFD 1KaEPrz+BY4pyAEBnyK3meeexnywhemefDL9r2tzi4oJkuxzJdw19qpnHUi1ez0djtSY8IGJ Cn8M1qJpHlgvwOePjNfkQBCXryxfVycqfPdK6PeDhnNt8INstkAsJND25HZNV8GUFUj9VYTw rUf7x+PhdPj53pv/edsd/1r2fn3sTu+oF5+MzQTB3DZf6SkwBub1Vgqe4WtXh48jwZzGRDhF DcCFjKLc2h+XBBJADr9/7BlhL9n+2r0bineFqDSY783GNWi3bLp7Obzv3o6HR3Sa5JHMOGxJ 2x++vZx+od8kkaprG60lozq9EohvNdDd/ZcqPVzI154Hvit6J1CV/anLenmEL1kmXp4Pv3Sw Oti92Yimx8P26fHwgsnidfJ3cNztTvpcuOs9HI7iAYPt/ztaY+EPH9tnHXMzaqtw4LKhVbL1 /nn/+h/qo8oj0tLD+X+SCLb5QcpxJW++zjyKv0i3H2G8KojWiTP8RKkPN+QpNFkhblbThx44 H0G89qQP8M50OeSwNCpmoCTC1kWcfutbmUyYtyCTNf4AwJA20+doyq9SgDwtg4d79fFP6SXF bohq/ga3CGhkUy8qFsB8AxcdJAqcKlTTfeETnocdSEc84MRKROtJ9ABpkrBkzYrBJI7M3cl1 FGSfREUsSeYy5kXkR7eUn2qj/eoRLm0jr+2uJNFHYb0h277q+e/l8Lp/P6C24Sny5spen46H /ZMN0zvPVAr8zi0U03jpiwj1S8XWl37nHNjnq977cfsI77rorE94aAHLmIKwFAgS4sIwUIS1 IGmtFgqS7NgoW+h/x9xrH/CDvZ7kyn5ubVeWLBQ+y7jOSGGcE1sWvzpIgONU635mnQ0cU+Qq oFizLEvbwYlUYl0wL2yLFPfyVGSO4q6WDYsAW+e1ZNRMeESnMOpIYUTe3Hyf+gMbDL9p/hdV RFOPeXPLMD7lQleglrgW2edg40SNmL8qiDH2Brdl2M3SJfpmhdsipEpsMVYt340ISXJdFsa6 34WQh1xmmCXFupG68xHxIggiGQPPU3kZSIJWLMVXNhDSajh6pzNolO0yh2dpq+CX1U+EHZ8G A6rKIDf21EJ1UtjDuf2kDiumsG8sZIJGrzfYwMu2cHx7RuCIM9MLfFNuTTSFXmLSDfVGF6gm tZbfDBBlQJErV6UrYKUArahWX7FOBJkM1Iiq4VJM1j94ESZkQJ2hzxkFssf1to+/XTWdQJlB 3Eb6f6Uy+ttf+mbmbE2cQsl7vSQ6k9J3GQpuXVz/0CBbnvtBOZrKk5RUfwcs+zvO8BS0zIk9 UvoLJ2TZhMDvWg3Xkz5PQHNtNLzD5EKC30O9bfr2ZX86TCbj+7/6X+xGvUDzLMAvB+Ks1ULl Cn/afTwdej+xYrXoLEzAwqUYMWHAxpmFjUAoEmjxCt3bHQMLEOrNZOinHOvfC57GDomGe+me RYk7GE3AZeSixS8xZipGUpznM56FUzuVKsgUwmpYDuSDXsqZa7JU/qHmGXBYbUY7vFXwyMm8 TFk84/ToYX6HLKBl3EwgeH7m9VJx+Q0GAo3lY9qRq2lHwlQteCmL7Bouf5czaOOhRD3kTM2J BJZrOvFIxLoTUJNNRH84T2jZQ7wedUpvaWnalWgCao2E+e5GLanPcqqGa/9wblerhYE7I8Hv 5aDxe9j87S6FJmxktxSEqBVxoijhBX61B0JYGSoP1n6MlqgCwZSgt+x+7BbAd3/p8rTy6zcL 5WOl8tvF8sueWdqpUyXwC9BpvoYBWntok6u4craPv+tDAb70z4zT7QScoFtlNyOo8bMskFWN usjt91oQNM1UVB6njvm/+V3MXJvbKpTezXk8mRMTgXAnGvgNN3SZwjjljBSICla6ZsyOuO4z zgQMqBVniyJZgX0NfrYzqDzxdHS0nFokjNCUt5WwCcXP5hc5sB4lBWn4XAKv5E/6jF4MqFkh tAdNqOq9grOZsMT1bqTQuxFnTNiyuyH+xuOCCNdTDmhC6HI3QHjtNkCfSu4TGaeI/xogYmJz QZ/JOPHW2gDhT0MN0Geq4BZ/HGqA8LcfB3Q//ERM959p4HviXdEFjT6RpwmhaQAgvcmHDl9M 8GFyiaQ/GN+4g8YW9V0RU54QblCdUL85gGoBXdoaQXeJGnG9nHRnqBF0+9UIerjUCLpRztVw vTCuV1YMMG7W5UKKSYHfH5/F+N08iIG2Ru/OGH5TUSM8HmbE3ewFEmc8J1S3z6BUskxcS2yT ijC8ktyM8auQlBOWKjVCeKBTid/EnjFxLojNil191wqV5elCoAwCgIDz6lkTYff4cdy//2nb rMKieRlg8At2LQlzbJkqY1bj6ZnrmoxnxNmligI/vZQXL9ynIVpQ+HPgty6ZLiivUeXdXeFH XJlXjywVHkGSU2E7hfhJji25/k/q85j75rYHKNHNdsljjWN3C4bf1uj9IdwcKZmnFLUQkKV6 JhqwQCz5z5HMhSr69uXP9mX79fmwfXrbv349bX/uNGD/9BW07H5BY3897Z73rx//+Xp62T7+ 39f3w8vhz+Hr9u1te3w5HM8bE9Mqsu4p3vHP2/uh9wh2gIdj7/fu+W13vHSXEgzOzR2GTid4 0A7nzOJCtQLb0Gm48EQyt4lSm5L2R7ArRQPb0DSetWLWYSjwvJ1rZZ3MySJJkOLDiHIu1es0 FH4pWIl9YqtdSrnnY0O/kurpQy+paSsvVTiWG+h1VyMsfKHAtszoTyokllnQH0waypcuIs7D sFWlEIhlKjF/6cjgVP6Q85wj35o/mPJt3S55NtezUisvULT6fpJ9vP/evb7vH7fvu6cef32E 8QFO3/69f//dY6fT4XFvRP72fdsaJ56xBW5VkYc/ntUfzZn+3+AmkeH/N3Zky23bwF/xYzvT ZmLHcf2SB54iK14CSUvWi8Z1NI4nteOx7Jn077sHSIEEFspDxhF2iRu7i8Uet+efBPPF8RAt 8laKTz/DES4+BpIUYnDYArXq2yvB98nEgcZcWRI0Spus8htr0hMYc14RgG0WyEDk6cdX01p4 mKEwckxrlLoS+w3ATrk+6dzqNN2j0PFJodx+Ahpc+zrRuDu+EdIjDjQluV0rQQ80rB7Gzeh6 2+oguzt8kyZxEnNwIJpYaJ+kDXTc1/4NfGa1HT8+7A9vdrsq+nThaoQBu5umbHv/AUFEz1Kr qDv/GOepuw2G/UIzC1nZoZfTcUBnpyG+tKa4jD879gCUYvwET1U5HJCkwL+Oz1UZn6ACiCHc vY8YJwgAYHy68J3sLDh3dA6L/YMDDGjamioo/nx+4a7Rfe8Z4EJmiQHcgRgf1oJ2TTOBhZol DJ4xnoa7xlLT48u3iQHkSFVdLBJKZzZRM3jVh3lrSx0qsndTWNTrFC4BImBQQjqIX1AmcCdy vWGPGG13/N6GfXaW2uuIKX/s9tMTrH2ZBVuSG63lC4pWigA946HeXTCLLjWHqoZDsduby3Wh HmWHwJYn1rVziXT5cYZ13oinl9f94cAJpOYTmRb4PuZgS1v3LVmDrwVb4vFrt8bjCM689H/b TuUstoi8e/764+msen/6Z//KFppDWizrRFRtvosaVbmMTIaxq3DBNq7W9kKIwLkYdoKQE1Lk Vk0fMax2/84xPGqC5nbNrWNNUKDGTAYn2x8RW32x+CVkJVjdzvHwouVDzNwCTdDelug4D/dR vJej4561xNH+9Q1tUUECPlD8mMPjw/Pd2ztcHu+/7e+/Pz4/TI2j8eUMSBOlU2lHbYJj3sO8 CtQtx85Jh8upI4naiA4kHc2jjRflwXgRqH0VwdU9VXU5mG04UIqkEqBVgq//uansHw0jo3xu HkZxyPBlLSqbTZTxo5FKUvMqFsHNADaPuaMiMz8JYowyjFGWd/1u+tWn2aUJCoB0FencvW2K UORREt5eOz5liEQNCCVQa6BBHoxQUG4BVNC0A0QE/OUYRpGHWoycnLpI8N4Iqrgu/ROzhSrR 5Kxg8wOzdCC6x1fALVJivNTrcLlj+aWzfLPF4vnv3eb6yiojM9LGxs2Dq0urMFClq6zL+jK0 AG0TKLveMPp7YqLGpcIcHce2W2xNg2UDEALgwgkptmXgBGy2An4tlBszEbRtHeVBl98kMHQV mGGUA7LcTMp5EUVXmRxZLI/N3lUgGuxacgHByLWLLpvBEABV7IaMT+bZR1gQx2rX7a4uw9x4 E0ZIjHmCFGZsyoh3mNNPXwLFFlPSLApWQBrmaOTNwIpCg1Y0PQjr5hDjlfEsvyjq0GwXf/sO R1VoQ8vjWatVLKjKYeTO8lyt8MbkUgzBKUtjY55qCrW6AA5hxsVO66oz3tkNvWrlvMYT/vXP 61kN1z9NStui6XZdzJYQN0QDW2eah2gE9ez8vUuLvs1m5q8trDjPvKHVRSbnnGBia8v96/P+ 37NvdwPDpNKX18fnt+/kQPj1aX94sHX3nNiIMjJNjcCoGJ+63Qo9nWmrqBcF8MxiVHP+JWKs ejTpG/MYlDB4fLCzarg0toGOdOmO8YFC7uO/+z/fHp+0qHCgkd5z+avLtYqf+gWz4KQirWTZ 440FLYyNVccsY2Q5++Xi4+X1dF0aICElxpCRXCqCmCoGLCdCXwGrj3UQGtcu5F5P7N+gTpBU xm7OBtiyiQqatpXBLBDC0PEZCg0ODYhv7erSWkWJtt/ANGuNK3oTxbNG8UytDIu8Y+FoBMnT /OXjz3MXlo5r9t907GxhNMhw5f7pB4hw8f6f94eHmXxIr8DJpsMo44IHD1eJiEQInThUTb2u BDmawE2dY6x1QYQ+tgI7wB3vk1HqEC2KhHeqog8HNCHTEmKQeY70AKVnEEhRAStor+4A8XQR 6o+WIJBKKUcZ68blHTISPI3DiTHtXjgyZk7g7HYFR3eaNVjPMu9KZKcnpoFGgnbNaVGvHQfH BLvoXkRjWQZtUBmeqRrKxVTHl3NrApZRfWOwV64JPoBijGeDlmOT2yfi+9YkQ3cwS2GKZ+Ks +HH//f2FyWF29/wwc6dLO7xP9I1OyCiEx8EXyV/B01kdsx74Uxe07n20XgGBATITCxqzJqiA BAA9qt3W+hM4Otv0QEFGWoZxekfjr0khkvpZGR2WCW8lTN7jGO1Y9i7hmUdmuUySZnby+XqJ Lw4jYTr77fDy+IyvEIc/zp7e3/Y/9/Cf/dv9hw8ffj8yYfJSoLoXxORt+aRRsCkHbwRn16gO HJqn4yiz9l2yEVJI6X3lcLednkSuwj486zXDgCbV6yYQPLh0V9ZtIvBLRqDxyPSZkYbgNwWs xom6cGJJPaIlKHfb1CpsdIz1JMeGOg5UlndpO9GxNieKmCyMCng+qg6TWF8sPZ1fMn8QlwP+ 6SyV9orMw3vPyWZ+CqP18TZyVskTIQY540QqwczOwNIdftJR7+bhAECSnsorgBjSMhkoyBNg IYqCzixmtLo4N+HW+mBhsvK5QemtvtJCkbLEoRkmuyCBQIL+xoJOA3qZ1R2mS+XL4OB/68Qe Zn2XKFUrtz3y8V5z0mYZ1RJVdNvVxkUPI3jR1BjXQeKhaV+x1OiHLlTQZG6cQaRPh6mfVMBs sIwwcwdITRHn/jBR0JWF1hMxQQCrOtP3hD6PcMaPhXRv4gTBx0JKkUr4E+8vnHdcKg4fZo3A qErbPKNx/bT9SX26wLbsTq2dN5taN5NUSVI2Hd6CaQCC86paAYtPfRUxx/MgZGvYFz4EfVca ZHrGFDzMeFn0yrlx+PtdWwUUBNulzMWIfxkyQnLMq+pqdmHlcszDgEco1h8IrG5Eh63kRWSp wDMRQ7D0vGYsR9d7aC1M9JIZNxt9FOblM+zjmqC2G9PpLKSZPh6KXQiHOisDJXjJGhv51zFh LoDiNjJVNvYnZYyQMXlLJDcY5TZorGAnQ+NABoBuUzXYj3l0kmIZCz7kFLORngdaKYIuoYjQ cODexOM9jCjEd2AZTp7kOEw/GnA75AIinAWdq0unxDEdUpZs0JXBM2ZWJbG+T9hIiLcExE5w nicEfliR4azF8sKBkQlRPgmj74V4BATdkLZWhrvucVMMha9qnRjnnOdTengjaC7E5OcNuPTs zptSlm558C2ltBcsQXkGG/f0pznml8xPkQEd2VSVIJZ6ZoDdRz0dpcPu23BkkSqa7PJuK4VU l5xLIykjYEjeXR2gkC88G8H34qlh5QoljUCdtOotz+4jNwgwdr6oYqCr/nIRTxTj+NunF+lD UhrA/bbLt8SRzK8J6uIp9FVQ5Iuq5BeAeb3AlFD7nGv3LDORDRs7awyztbyewty0Ch3LtAXn moRQ130dkBhoMjbkTMxR46TpMkxrO6kWI24S87YUWsarQYyhv0E8k/ThpuCBcXuBY3nRyjbX pMqPhx1E1ob6E+Ba7dJzS9iUTmE7rOtus0MRcyK74MgDVdx6KkScphMJO4JTtLTRObLs+Lf/ A1biFY7PUgEA --YiEDa0DAkWCtVeE4--