From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1758479AbdJMPJu (ORCPT ); Fri, 13 Oct 2017 11:09:50 -0400 Received: from userp1040.oracle.com ([156.151.31.81]:26111 "EHLO userp1040.oracle.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1758431AbdJMPJp (ORCPT ); Fri, 13 Oct 2017 11:09:45 -0400 X-Google-Smtp-Source: ABhQp+TXWwuGWr4+RzFY+xTfTOJoefolVq55M/MxGLoxxQBusSwoo+w8fgXZoyZV5UG6VftAXxJ7Qr9mZR96MUBVW34= MIME-Version: 1.0 In-Reply-To: <20171013144319.GB4746@arm.com> References: <20171009221931.1481-1-pasha.tatashin@oracle.com> <20171009221931.1481-8-pasha.tatashin@oracle.com> <20171010155619.GA2517@arm.com> <20171010171047.GC2517@arm.com> <20171013144319.GB4746@arm.com> From: Pavel Tatashin Date: Fri, 13 Oct 2017 11:09:41 -0400 X-Gmail-Original-Message-ID: Message-ID: Subject: Re: [PATCH v11 7/9] arm64/kasan: add and use kasan_map_populate() To: Will Deacon Cc: linux-kernel@vger.kernel.org, sparclinux@vger.kernel.org, linux-mm@kvack.org, linuxppc-dev@lists.ozlabs.org, linux-s390@vger.kernel.org, linux-arm-kernel@lists.infradead.org, x86@kernel.org, kasan-dev@googlegroups.com, borntraeger@de.ibm.com, heiko.carstens@de.ibm.com, davem@davemloft.net, willy@infradead.org, Michal Hocko , Ard Biesheuvel , Mark Rutland , catalin.marinas@arm.com, sam@ravnborg.org, mgorman@techsingularity.net, Steve Sistare , daniel.m.jordan@oracle.com, bob.picco@oracle.com Content-Type: multipart/mixed; boundary="94eb2c03a2bce0a7f8055b6f0b3f" X-Source-IP: aserv0021.oracle.com [141.146.126.233] Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --94eb2c03a2bce0a7f8055b6f0b3f Content-Type: text/plain; charset="UTF-8" > It shouldn't be difficult to use section mappings with my patch, I just > don't really see the need to try to optimise TLB pressure when you're > running with KASAN enabled which already has something like a 3x slowdown > afaik. If it ends up being a big deal, we can always do that later, but > my main aim here is to divorce kasan from vmemmap because they should be > completely unrelated. Yes, I understand that kasan makes system slow, but my point is why make it even slower? However, I am OK adding your patch to the series, BTW, symmetric changes will be needed for x86 as well sometime later. > > This certainly doesn't sound right; mapping the shadow with pages shouldn't > lead to problems. I also can't seem to reproduce this myself -- could you > share your full .config and a pointer to the git tree that you're using, > please? Config is attached. I am using my patch series + your patch + today's clone from https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git Also, in a separate e-mail i sent out the qemu arguments. > >> I feel, this patch requires more work, and I am troubled with using >> base pages instead of large pages. > > I'm happy to try fixing this, because I think splitting up kasan and vmemmap > is the right thing to do here. Thank you very much. Pavel --94eb2c03a2bce0a7f8055b6f0b3f Content-Type: application/x-gzip; name="config.gz" Content-Disposition: attachment; filename="config.gz" Content-Transfer-Encoding: base64 X-Attachment-Id: f_j8q14a9a0 H4sICAHX4FkAA2NvbmZpZwCUPEtz2zjS9/kVKs8evu+wEz8UJaktHyASFLEiCRoAJdsXlmIrGdfY claWZzb/frsBPgAQlD05JGF3o/HqNwD9+suvE/J6eH7aHB7uNo+PPyfft7vtfnPY3k++PTxu/zWJ +aTgakJjpn4D4uxh9/rfD5v902w6mf52Nv3t9J/7u+lkud3vto+T6Hn37eH7K7R/eN798usvES8S tqiJyGfTy5/t52w6Z6r/JCJK6zK9kTWJY1ErH5/nlU0MrOqSLGgtU5aoy7NzFwUfqkFNnR7ynJS1 KOIamMs6Z8Xl2edjBOT68uIiTBDxvCTKYnT2DjrgdzZr6aQi0VIJEsE0qrLkwpovyzK6IFldclYo KuoVySp6efrf++3m/tT609JnPFrGtBwyMvyZuEoyspBDvFhLmtfXUbqAha9JtuCCqTTvCRa0oIJF 9bxaBIG1oBlRbEXbscohWbqmbJGqISKSVaCriGRsLoiidQy8b3qCW14ALCc9JCXQcdtuUZWeRAHt iEAVlMYajfsEO6Goh5MLjc5osVBpj5O51YdcM66yubVtHAS1TmlWUtFDl1QUNKtzHlPgzYsek7Dr mhKR3cB3nVNrLcqFIvOMQv8rmklPjJtdlHVVCj6n0tcjwaN6GXFBa0WvrUnHNGnlhUl1efLh8eHr h6fn+9fH7cuHf1QFySluJyWSfvjtTuvxSdsW/pFKVJHi9g6DYNVrLpY9ZF6xLFYMOEHXegrSFchU UBLXrEg4/FUrIrEx2IlfJwttdh4nL9vD64/ecrCCqZoWK5gcDjyHbbzoFD4SXEqtZCyjlycnwKYb sIbBEkg1eXiZ7J4PyNnSGJKtQFwZbMjJSQhck0pxZ/VIlak65VLhUl2e/N/uebf9/5NeHIgtHDdy xcpoAMB/I5VZW80liEF+VdGKhqGDJmbWIDBc3NREgSGxRDRJSRFnyKpbi0pSUKnAKpAqtrVCq5OW IY3Abklm9XsEWq+JskdhgEpQ2m4vyMrk5fXry8+Xw/ap395We1GUtDgPDQKiZMrX4xijJ2E8TRIa aQtFkgT0XS7DdDlbgNFhtn6mRMSAAru5BsWQtIjDTaOUla5SxDwnrAjB6pRRgWt8M+SVS4aUo4gB W7PVLWfTtNt1q8+YgqkO7D+SJFxEYPCMYrLCMvOyJEJSn609cc03kSHJQimK0C9JXkEHdUwUGU5M W4rVQKQ6V4AMYGsL5Ru5lEhoHC3rueAkjogMuZe+tUOmxVE9PG33LyGJ1GzB1YBg2R6D1+ktWpVc S0i3HAAEa894zKLAMphWzNNHA02qLLObuOgAsxS8KMqhXjVthvVMorL6oDYvf0wOMKXJZnc/eTls Di+Tzd3d8+vu8LD77s0NGtQkinhVKLPfXc8rJpSHxtUckRy9eQ6j1gnIWHshClYK8GocU68uLN8A uom+WLogEwZ4jDTiOgBj3B2SXiIRVRM53OkSzFNeqhrQ9irAJ3gv2NWQ45CGuIuvKPVBOIvaASFD mFiW9fJjYUy8QRfRXLtl15VC5FicW16ELc1/hhC9rj0448ghaUPkTzYcdxiCURt/3q8JhHHLWpKE +jwufAWTUQpD12rmqWcXohQVRFFzkpEickTkffDO6dICYwnL/EYLwavSkhSdD+h9t2Mv8JHRwvv0 HHUPG/Yyz5ZNT7Z8aKtn4QJSYhD1GqJpOif28jQYvXSW0yZM1C6mj2QSMF9g6NcsVmnQYIDSWm3H h1OyWDqcDVhApBvk2+ATEPJbKsb5ptWCOoEwCJikth7rmBS6bzCD5YjpikV0AAZqV8XbiVCRBCYy cHMdgeTRsqMCTxSebkqjpU5j0MpCpEtDFh1CP3CMkR12VyjodlgMYZ79DVMWDgBXwv4uqHK+jWJh /DkQPvCVIA+Q7AkaQdoShwUCLWZg8CizsNQ6phaW+OlvkgNj462tiFjE9eLWDm8AMAfAuQPJbu20 DADXtx6ee99WMSCKal6CM2G3FKMRvbtc5GACHK/pk0n4T8hAe8EyKSCUZwVkX9YC60i3YvHZzAnQ oSFY/oiWGAea5NkyBqUjc6MewmObg/1iKAHOLoLCYChaN6FPeB64H11oZEsAjnO8pckduiChgS6B WN7kAUjtddDD55JnFSTiMFNQxUBXHekcksauFmDrPXoT/7sucmb7OctC0yypMXW10MgZYyXLWsKY rr1P0CmLS8lteskWBckSS+D14tgAHSYmjt2F/T62PamTsBNmCTiJV0zStrFjclEQtEtLQna6jFh9 VTGxtHYJupkTIZgrQACkcRw09lq2UYfqLnLumpXR2enUbqPDo6Z0V2733573T5vd3XZC/9zuIIYk EE1GGEVCrGzFTWHmxi9qJEyzXuUweR6Kile5ad36a9vyZdXcMHJEHqGNo9ZqwYuwBW+qbWIZ9gIZ CWXByN0eAcG+xIK20Yc7EsCiQ8RYrRbglnk+2ldPiJkkBE2h7dJzw4gMsi3FiK/qiubaY9UrCLkS FukUNSQ6gicsc2KpSBCZetq0pNc0amG9xptCUoDtv6u8rGEq1B0XROkQ/y3pDVgoUFm/yNKL+5Bx nzmhnOq6HBgg0FD0eBFmBmMyDZk8ixjKTVW4LTzDvvTrYgYqqAoiHGvU10C0+U85X3pIrAvCt2KL ileBcqeEFcOMr0mpAyUDRKKFgrVTg6IlZrbg3hRLblpvPCSAhk39xxucoAuw20VsysvN8tSk9GcY ZaFpAV2nfDYuXYNOUWKCIw+n9R27DcF15GOGEld27bRfZkfCnKlAbmRKiIkpI7mLYDbOJCpRXmIN 22ffyIgpXOoMwV8F086U/UZwMa/mmd/9mmjrpa0NRnumUtLWEwOzlDRC8hp01ElQxuCmsg0hT5lV C1Y4dtYCj6kKUOhVB3lXFIu2XiDlIkORvU9TQxjlh2MeBQhBlRERtswDatgVXoSKUiplhV40iCR8 oUK9o9dK6+bSMXYaPVK/8KiO1i4c/S+wBIYGBzOcgPwYUQQcOjs7p+RxlVGp3SBGNBgYBbRYo7QL gVA2xNo5j/IYuLj+ICvQ2jqEGmNik5ydeUa6HXA4+2QSMvZKG5mQIGV4aoM58Bp8oNU/z2IMzGQl S1rEVhmoGUqDJ1FTk+1FCfa34JY3SIIVyH7kq+aQR6fhHRuN4jrSJ1l7SCPW18E5jhG3IcJYBVTb agVGX1mNLO0fR/nNjUgFmzsoKwdMtHQP6ozmsCXiq39+3bxs7yd/mOjvx/7528OjqRZapoavmuEd m6ImMxEIrZ1KrnNCZzxnSlGl3IALz4OsBBHmhDG9rf46DZAYUl6eempmz7pZC13UBrNOQhFXQ1MV iB9tbNBBaQC6xtSHI5uGjxRRd5Q0UuptKVm4bNGgUSOEFxh1NCADOQwWTE1cLzEXG52xNOXKDEIa O+qYu/U7rBHISDIQoKuKOgXJpnowl4sgMGPzIRwPhReCqRsntWqQeKIbXuKWAmIorhTGtaNkUR4D nhofHPY+SLaeh7TU9IN5SyL9EeKK8pIMlafc7A8PeL9hon7+2L7YCqODeF09gCQQKxhBAZQxlz2p lYUmLATWO9TYRXeF8yvMGQcw9IM6ITUnb3wi737f4jmvncUxbspMBedOhamFxxC84sKGqv8NSZQ4 R0Pw2RQiG4JA07ai6zVtwTiYI60avpcnd9/+05WoYML+mC1X3COXN3M3iW4R8+QqmFGZ04GCQyzO nCy1KlihZU6WEKugpRivgBMF7j2qRW6dX2rrZhqDpPB1YYd+5k7GCFJLwgiuqdO2214+bg6Yz8Oc Hrd3zXUc16MZ5zp6fier4pp58yJZ6ayvBs6j/PzzxcchFIJj51TCwKnI7FNMAxRRLtXcg9Lrm4L7 QUtGbmA3IlL6w8gWZ/42pEz6M8hpzIiiPmVOJfcHla/ANHiwK9DDQRwByRHE78uxhYQ1WLqHxE1S QMC2+bOQac7nbAAGp0kl8ddCfCafPn3xV95AZ8NhaviXj6MbrvAI/Prs1OOHJtwPYGVpV5ANWVoV sS2RNvTcA4MOlSkbUK/otfZ1g7GvqiwiocqHxl5jjOGxuvXDqdub4konoVoR5q94/Pvjx/P+YJW2 bGuK5Thzgi6DwDawcZGD02wAUrQFc7takHKFOZxugQQuOXENFYJqGoko6N2aBuBq/w2pVbisSIks c58lwkbvBlgEgypYhyv5GlQRYrzxgXVkaBLfRdyX/0eGVZc5HSxPXI6vTl2qPMzLZC7BO2KIzSUb ANybGHY/Rw6gEItGAux3c8yoj3dGaaWqQqVKRDkH5AigEcldCOMrf2ilYKOdlUSysXK0X5npxTYs yyTStaY+gfRwNZuHC6Y2YQR/vUkkU3fHtVLH25eH77v1Zr+dII/oGf4jA0oO8rJ2VQ4A+m7XULDW dZmREb0KOiOEu45HM2o8hw0iIOcxqT8vPfiSCS1dxpHDRH5/fjlM7p53h/3zI4Rxk/v9w59uTR7X FzLsFRHLwRSusTJ8XRfrcBaCbbWJH9M3ERHhTQ9WanCboUME7aJnojvQQMmoHzX0ML0TaB2CSMPI mZYeTuOBwLKERW9AiBo1uhatL3/yFrmNK4bpAuwf3d3/eH7YHZxcAXW3iHVRNdjo5a+Hw93v4W13 rcUaL6OqKFV0qBLN6U6y3Rxe9zpb0WAQvcl2v98cNpO/nvd/bPbPr7v7l8mfD5vJ4fftZPN4gHab A/T3Mvm23zxtkcq70F1TAQFDldefz2cXZ19sd+tiPx3FTk9n49izL9NP56PYi/PTTx/HsdPz89NR 7PTjpyOjml5MbWxEVgzALfr8/MLu18denE2nx7Afj2A/TT/ORrEXp2dnVr9oUuqEZEsuOpKz09OL Nym+eBRXcQLbcNqRnJ7OBss6XeoauheaIeZs1qBGimdIM5u+TbMi5qb8xZdgnGeTTD/7w2swl9PP bq1wDv+CmrFg8GgSwDyy52RgMg+Z/ELoKyyXs+5KduuSANyPCK8xWV94+aC5RdVdtMLasDlXN5ee kKhmVkitS2f6hAjpTFkbQgiLLV4ca1H6QLhOmEC7DGbMPt7hWPuBlPHWK+H3GW4xEpM1BCueVYUi InSnpKGxDHLTSFcfnVDgFiUvVKq9rc8/nnqkFy6pxyXM5hLYuDubCrzyOJabNyfWIJU6MgtUX83a maM2vMGf+ax01QnwTVQ3iu6jaDcDzGjUHuXVXgd9BbtMCnwD4kjH2juGb6d9I/v5NRezEj9r1MdX +tyizEHSUyJCh4wRgSWsTZ3DOaA4Oup+yhDCVySE8URY35ApISIOXdJpOin1/WsV6oZeK0FzGkKt 4K+8u9h3hGLYqVcVdcBGV51mBa/nnCtncs3QmeQZ8Q8xNL+mhXkNgTxDBqrMmIL8xZQA0fRMPf5z lF2nXGgApmAYuaXEECxw8/3IW6w5qLV9Jo1PXtoSWQ9dSmsh2uqd3oscT/eA8+X09MssrJbNxBLC ssq9qOBiQoeHRw/tQtiaZGty4zi1IFlubvWMHw+hUkkIIUt9mfQdY9OGRyuZ3XmUUUh9ERrsKhEc ugl3EGmn03MCrzKekXbY4OkZYtHbyMtPfZPbkvNwBnE7r8J1/Fs5eguoPRXSL6AgZQUlJm4hWt+T wLVvj3sDXBKBz5ZWg0PuxrXq++QhtTLn7pbEE0GwbO7waGD+aXHoIhzeq7HUTF+9ca88XNMCywan DqT/MKdOeC0b3TQXWEizT2IhyFl9fuvip4mEIB1Qai5OYQLFIB0Akj8//3Y22ezvfn84bO8gKdg8 Tr712YHDCtwMSeK5fdOteX7pmDMDzCCkMeXucElZR2lp9yLIjOT8nSOpCB/2WOY0lKgZZHt6ph0U JOpi4Shad/KuzxYH6zR/hq/nH1g3f3EL58hblzJAPlAq8eRT8YiHjkibwyn3aVpzYKV3PNAGT4Gw /tOvOUAsa6qvK+khVS+QDP7Y3G0nXx92m/3Pib6/d7DWDk9Wc4U3DTwfoIIo+PDvhumHhCjJ/WX8 LKlTSkBAQ9vcsJWRYKUb/ulwhlfhm2JNs5zJkK3AQbja5J+Gtc/rOrjJop//gqz5abPbfN8+bXf2 hrbtzP0Di5EBWKcp7fjZnIoC36VieRdvNMgh0vWiOexjbJ3o9deqEZVRWrrECGnemPZGKNeVQo0L B+k5uJ4l1W+tQvF57nEbLfjmNS/dATm3xOC7O8j3i+Lrq6bG29/KGAS8w/aBJfApuC23eEnSsUT6 gKdbeLz4LNkwCLdJjNwO8gGz5Vb79mVVI0F5J0Ft+QRx7P5x20sSDq956eVB+gg3FmxlThKdFFUT LfgKjFQch19a2FQ5LaxcM1YGo58xd6/CsLzTjnES+9VCwCJL/2GaXg2MyWXfITg9GHk8sI/IPNlv //O63d39nLzcbR6dl2bYHlToyp8qwvRQRyap8a2lwcmOvQYI0h49jgg2wRuK+j3H+5vwIoZQpQh7 4GALwEE3K305/v2tdAZbKRb0K22D9yzR31iav7Ek71+Kv7cEo1PvxO6bL3bDcjiQmfVUjjo2MF1G junKiWp0oQiSLYVCb0g9vDmirslKWgR2YBAiORKCYwsYzDxraUeplkws15zHbxK2RegQoUUmMXwJ TlKfA5yfHkGenU/Hpm/wn2fHejc9o6dueFh19Csu2NWRxoX9dAwfTUH01RwWa+EotgesUqNEDBw9 CPSSeuE9QmpYsJA7rArm3KfD7wFtnzJmId97nQjH++K3Vq8gD42V1RzvhrPoZpzGJOxhNTJM8H6+ VF4c3tHgyi1pqJjHnBVmpfFczbvpPjEru9tNtYCALuixgKgsSocZfNdxGg2BWAgpvR4QLogIxzx6 70t2DLnAsJXm1XVYjrALVRUFzWwBxBnrGQUZyxssqvAlGyliG7YrFT67RGwVt72OkiS8Oobrxx0e A+5gTUZu6iKOyvCqMTN6jJ/H8Vq6hhOwSbpFHbTTv4BiiiDur914FIbBGHpOqd8WtdIDqahswe4M cAdGtVhTCLJ+gwKxIFt4gz2spdg7/Hdx7BJgRxNVc/uotI0AWvzlyd3r14e7E5d7Hn/0Lo12Erya uRK9mjVKikXUJDwrJDKPK9Fq1PHIxVec/eyYdM2OitfsqHzhGHJWzsaxLAs/3DW8R2TTozoqvLOg oD6NkgREfeaL6lNwnBqvt6V50zp41+VO3TMqNkoyNdhwgNUzERI7jS5iSLN1xVndlNQ1vKvQGrn4 MRPVIt9k0OVD+n3PiCHThOPG2MyTLmZ1tn6rP02W5iR8Qwh2Rd9yGUPiLxxhwTAnInTDDy1CqUBZ MwLpY+JcdG5bl+mNLiKCY87LcAURSP1HQB2osyNWGV6weEGtVk9NfIw3XiAO+vaAB/hjP8fWc+4j KHvQDRJXhhX6GVm4ajMk1b9Y9E7ajAcXAl8AF4Wu+fa6BVD90xXmyokl7w0CeEJAH+7YYliPbaJN g5dJ7DMzBzl89+qgcZfHalwDQi0OI6NRpqxYx5EdMNkYGakRDDg5SGTo6CAJ5mxhW+rQJWokwrKJ 0ovzi7ep2MjlRYcINnHOOP6Ywtu0shhxJO5Wlu+ZgiQjB+Au1Vi86WzrsTVTrei/TRESpJ6uIMpR DfjWdRvbQjTgESnqUb2whLCNkNmDRORxCUKKI+uA6CPygOgja43oY6uMeAFpsKBjRisJ+J2BkTI/ Xydbu3p92Hx93L5M7p6fvj7stveT5ofz7KMBu/HA0ISpUHB8Sqe/w2b/fXsY70bhsYYyv7f2xnxa Wv07J/jTi0/HebYO7e1ZtA0CkznaIJbRaAr3P8qutbltW2n/FU0/vNPOnEx1syydmX4AbxJi3kxQ Ep0vHDdxTzx14oztnLbn179YgBQBcBdSOpM0wj4EQVwWuwvs7gi8IzfoMfSHWgFmThUQ4uInUlSi R5HF9lw302LFANXr3VtNDhFFLu/NPHF23zPoS/b1AQ/mCSomAIr3rlfkAVn95VjJyZrLZ7FUrzLC 146ASxEeXDFLchF/uX/7+Nk80nQ4RQ2ONVFUKWmcGmcNC0pchUOg4+hUXnS6F/Ula6CDS0FMCkKX w/M8uKtpwwn2gFcqRx+A8KA/8sAla29A9yKpt9aSNN+4UNiTL8bGhx8azcs4q8bGIa54YlBCu0eg 4C/+Q+Oh4+ZejL54YnhsDiha6v3bC5iLhqdzShBBsCqY8MXoH+k7j2o7hl6yNXZYpacX1cXtyJML VMUTWvkvXgr2GMUx9O5OkPogAr+pgfdeCr/dF0QMOQR88V7YwWOW4m4KKDj8ASYMsvzF2Jo6YSDA ynJ4+QMV5dKNoC/dkTu0FOUuxe4Xc8JqBDevKdLBaov2sS7/fYHVJQHrbsWUVWppKXCGoqxJprYC 0Qv10cIS/zBZLzhde+hgInEOU2ziqEVVDN6E43KlvGGFGRNSSKwYXGMff4PSKD3KONBdS8LQ4xLA y5NCZo5FnvTyE2GVNiDURmdiqlLPkbPAukatyApxMslZpSdZFzp2/BkdWdzlI3nVwlm6v/XoMAJk 7R4twWnkWCB3OiHfpvR7OmmS0OItqH9Ueim7psy7aq6yo4cq4nAPESg8ELk0xiaBbmH/d/WjS3tF L+0VubTxc49haa/wtTss09XIWDoq7NbuuNBeuytzfq3oxbe6YPUZmHjPVziDsmDQi+dRoHOdRxFS ooWBD9bXws5jsws+8wwHMZHUDrMyZv4OZzMrnM+srDU8ZjQm3ctpVtQiX/kX3IpacTbCYWJmsygu ZmLykrhF2p2KJG0ceM+WaOULtn5KTqoiIgYPJ5zPWY2Lcq7a0BWLuhx6ZSuZ0vArM3/oz3R/t3yb ycZDCBU7HLumHlKWdzNmHPFMHWsL5hwDQRHSTFXTejqf3Q5NGMra7aEybM0GIdOE0xsiyfpjbItJ 09Ace/mTEtOIcF01S3Elp5lf4QPCygAllLsiJyTBVVocS0ZsXnEcw0dfERIZLD83Qs7QLyHm+x/l AuJSF5CfxOzFQE4ypuINoZUVZZwftHcwSj/oLYgUr9VhBHkfIiuJeyg6pDX+yp0gtb7Oj9mjurXp AlgEiPEU6raq6RfkocCO0iszmHyVqPQE5i2UpsRCp6uz34rjcRwMjDalE0bjtoJQ/OKutaMWB7fm jzJp33Pn9luSQuoTlRLHvgA3eXt4fXNCuamm3tROOodhTFgmWS71JajvbGCw8ACi7saRPTHllyVg J8RZtXwijzEuKCk7HlkO9lCEz7MArPF4JWlsh7uXRd5gtUGNOURpZ5Cn7w9vz89vnyefHv77+PEB c8SHNoY8qPcC5yQ9XTi9bJH3rLJ7tSuTLa/0hVWnPkXc4VzGQOTFDcctFgYoCAnznoFh9W6BmUwN iB1N3CAsjrzCVXMDBAHjcKnNaik5qXrIbXj2e9l21eAbiAHKqoOvORD6arrw1RKUbDb1AhL/lDns iGgogad1TAppTUWJJUl7Q/SgqKuYZUgwvY4OQ5haIZfDZAs73czSbFJVpLJvZY5j68BVugeBj8dp AZ7sR1blUjhBPRIHtL4g5zDkgTxawmOQSlUHoTyreBthm+0JGVYRM/Lmjas6xg3OTlIeKARSe8bC vsucEuV4XRnXAU+EKgTXWRie1E9td1ZDUchhh4ldJvTks+t9Z+/k89OXx6+vby8PT+3nt5+Qd2ex LQq4dJdVnwi+0TRrF72bKGVWtGtULjS+BomaqRMM5ZCpvN+nQ11HLksxGSK54alxH1D/7j/OLuR5 ubfGqSvflujuALv3prS3/005BHq0tnlJaIhtviN73IIZxw8Yw7iEQwmcUeUJEXxLMCkhkubYlic4 DbvS14vBEOCic5ruNaWqkM1zMi0o9SU+uLdtTgN9pyJwdAhHG4oHcauLKqU2fdSNimWBEZNDeUC0 bBf8ZmY1fPzYPTspXLeEvc6E4CaNtIolN653v/306+vvj19//fz89u3p+5CZUX5BnZXmdbW+pM26 CBwn1g53dtLCisJU6RclvMok84111inDK/moouhaYSZ7KM+70MCG/2gj1+AJYXm9nmrSQeG7L0s6 V0pkiMBv/KiCwBren4buCMtY+9PhSpQGxIeKMAJoAOxQXTVyM8gKwjtJwZi4y8MerFIJYDr8nWh3 d/LbDlzYLumnvHTlvkt4hO1zJgocP52kiFJba61AgnIHsyJR6N8tN7OGdWXCTANwKsvGhVlmpjPp azQzE0IoZxU3JIIMYYmtkQIxifNQc2Ssk1QkaBWtoFtff9x/f9IBzh7/8/35++vky8OX55d/Jvcv D/eT18f/Pfzb8O2Cd4PfdqZuFBg5dU8UAQlXNdUJiHAiQ4AAOfMZcdZrV8WJfCMWCN0TVCAFSEQA tyV+W7ujrCNkFlLzK7Z3vxmRKbWe4Xqet2HIIUxTmeG3DDrI1d9/n4Gg+lznvLblIpAww/9chYiK Az43e1NwYO3gtCvnI7YQIHpsW4nAfKjjj/JXTl330ZBthmnpfdDQPjOKtRL60KGt/m07sav3oakO stoOAl5HarUTMoekykkPDkvKr5tGGWGpPSiWiDHCoBeJJrstZNX1+DknOPW3+5dXvV2dggVMMn1r USX2qV/uv74+qYOMSXr/j7WzwTuC9EayKTMVkSos7Dj6CXEyk1METlKqJCKrEyKJcBlDZORDqgeL ku5+N5CKRTz57UOMIuZejtKJJVn2a1VkvyZP96+fJx8/P37DLANqOiS4Dge093EUh9R+AgBgvwHL b1qVA7Cd2UPiUOde6tKdSQ59TbbSbQR+YIUg7TN2u09a7nyMKpu7jVSluJHjRKZbXjFc11U0In+T WmSBcG5XqFHN7r99M5yOIeiGHvr7j5Jjj0e+AD7ZQK+Urm5rAZXloz1AqhVcpFGTMmW18z3qheLh 6Y93sH/eq9vJEuoxVamKsvDqaka+B3JOJSnD1TYY4/lVuZ6OJlO4K+eLm/kVPTmEqOdX9HIVqW+0 yp2PKv/4yIp1zaFn3M6LHl//fFd8fRfCKI6EfbtfinCLXVIAWg6Jl+IwdHulL5esCgtu0kPIxwLC dK/6K+t8YnxtimJImIXWr0mtE3CXQEU1Woers44RhWIJcH0V1As/VopFBf29ujlc3BQ5RGE9g5OD RXMNBQkZoYKeEGXDFn//7cfAX1Ie8oNAvsqpYAnD67oIt35UIlKpPOMb4gmkJDA/BMIUX03P9BGI f35EVuPHbWoDzmP3q9WiSssoqib/p/8/n5Rh1gv9BMfSD+CzVKo2wDZH/Khez6QsnFOCX/+csgUs lZefFBItaQsQ0Nu3exaJEu9OwEBPtsIzJPsAW2JRbehphZVhVMp+Ut6t3fOKgSr5c11budFkoQ6n hpLgirlluh3K7IDestzS9uTv3PS6lr+zyFQRQUx1KlBxyJ1KIIhjdQBxKs6cL5WKd4UnrYWX7+3I dlIyc2+l9hQz5ICKN9CZ+5SF8BQoonx5fnv++PxkxofIyy52ea8O6RQ01llGl5Um36cp/MCt8h0I gkILAXOQl4s5ddDQgSMWblZ4wNMess+I8NU9ICyO9F7Qg1Kd7QUpVZEZddDWNVJ5dVfWReqkZxl/ RxVgp5ynjgsi61ivKxY3/ixAosGFu55O7fphJMU7OPUMowMRMK9mauq1cY1JOhCzT6tBOvBibO/S BhmMWHGOfbu20QLOfHQoVdmW/J8X+LunEg0a5eKQxTrV55fROEiSdV4DUIJ3KZq+dzMWhR9fP2Km Cik3C8lH25SLRXqYzonOj67mV00blQVuCYj2WXYHTAS3Le9YXlPZV7eQBCHE97WaJ5nqF1w9DcVm MRfLKS4bx3mYFmJfgc2nGtnwTrBd2fIUF4qUMSUseA4ma7xfykhs1tM5o2J8iHS+mU5xr1tNnOO8 pB+XWoKurvyYYDe7vvZDVEM3xOHmLgtXiyv84k4kZqs1Tqo5MMPrqxlO3ouguyMid2W2Wa7xFsL2 JwdHis/lorMHYSaqysyccbIfQQaXxLIfmaH6W/ICQTh3dyW1JuK4BC1zyDUzTCZFkUxovkRaN1Cv zLXaFafxlhH+EB0iY81qfY3fd+ogm0XY4KraCdA0Sy9CqvjterMrY4FPgzC4nk1Hy031Qv3w9/3r hMPJ4fcvKt/06+f7F6m9voFlCjpr8iS12cknyWUev8E/zc6rIUqmd3oC9wFD+OjFDK7y3k+Scssm fzy+fPkL8oV8ev7r69Pzfe/Za1le4dIcgwOUchyRjH99e3iaZDxUdlutNvY2NxHyBCk+yF10XDpU tINsHxQxvH/5hL2GxD9/e3kGw8Tzy0S83b89GNEMJz+Hhch+MZTdU/tO1Z16YRvnx1ucacbhjrg5 1KSj8KoWkSX7/kSFMtQBzDl47L5a7pudkWOUyEmlMMwKa7uuGI9akItRc3VopiFRj0e21KnKfA78 +p2nIH40RmUrQa4ZqS/qPmXy9s+3h8nPcu7/+a/J2/23h39NwuidXHG/GNFde/nI+sxwV+lSgkt1 5EJQ96D6WolUvn31xAFyTyaMFqoD5L/hNJIwjCtIWmy31GG+AogQbj3CkRzej3XPRGzJRD1a8vE8 sCFJeA7B1d++6dQKJjTAmVhQLme0lc7NeIAhpSo/jRMaVhOr0t+ItDimcMHGCvOjKDV1BVpR1RmH 3AqJ2xd6HJttsNB4P2h5DhTkzdyDCeK5h9hN2MWxbeR/ap3Tb9qVAr8Zpqiyjk1DKGs9QI4HTWch qzxvZyz0N4/x8NrbAABszgA2S1Qj0N/P9ZRyJllf3CnyDlM7eL85O+wzz9iq6EVyJnkQcPSIsxtF h8yHc8IoLuUgxdjz+Ehdbj1hPELTCeP/0rJenAPMvQCRsaoubz3dtU/ELvROYKk54isXFFLNvjpt 1dOOnBPnaXrraxazzczzfLKvQQvSgZo9XJLY1DUxh/M1L53NiDww+iPq2LMQxF12tQjXkiPgukTX QM+8u5W7EA/b2ZxQMzoQO8fdonCxucJtyHr+Q0M317i+qhDH6Hq28XwrfaNLSxzZGbZTZuspofIq urZX+LZrvctI9pGFxFVj3VCPWFCISM8Jhh/Vq8tZJdhsxnng9LZpGXZyLWVEDI2EBwgpdgaFiCHt VVFZdY0SGQoo/FAWEVaXIpZDbtHwlLLtdfLX49tnif/6TiTJRGdUmzxK6fzlj/uPRvhwVQXbmVbU U5H5ucMXAgHOFLBvA1oYH9joAcdSb5G6bLf2A/QhgiJTeQMV0c3KCmUqxu+oY/WrdD5cfH4ASs6N cLaaE8tAj5ocbFUbNUqCp/OlPdRyYPqBgzH66A7ex++vb89fJlIdsAZusA5EUlhUVKpZt6ImznR1 mxpM/wdKkEXDNSnA4i1UMEtjhfnIuaenoiPB/oGY4Y41ipZ7aGARcJLkmOQuj6Tz8Zy48aGJxPah iAfcC1ER9ynBj9W6pziUJtaxQDKClJd3v+JRjGiBJmY4M9bEqiY2eE2u5ch66eV6dY2PvQKEWbRa +uh3yhBGA6SCi09nRZUCymKFG41OdF/zgN7McaFiAODmT0Xn9Xo+O0f3NOB9xsOKCMeqAFKGO1DW WwXI45o072oAz98zIvqEBoj19XKGW+8UoEgjcoVrgJQTKa6kN9EonE/nvpEAzlYQB/YKAD5jlGSv AcStLUWkbASaCEeFFYRP9VQvmceKkM1KH/9QxLoQOx54OqiueJISEmbp4yOKeOR5UCAH3yUv3j1/ ffrH5SUjBqKW6dS9m+HMRP8c0LPI00EwSRB2TQhZ+pEElUf0cH9wkzNat+D/uH96+v3+45+TXydP D/+5/4ie9Ze9+IVLHZLY3Z6lv8qn5+Gz+RTCkDgWSvbCCdCszaxxHE9mi81y8nPy+PJwlH9+wSz9 Ca9i0vutJ0qBVWAn4Dq2LZw1GXfluCEo5l3LrbNqOfUo+5k6WEMp8e1eblsf6LBM5CmhCsqHpk3O WAhO4Jaz06FmloPnoUkJT2oJFjH5TvkvUdAOJuBRSzYXiGCJrCv5D9TZrd4b2ZycFktae1AdXxVC 4E6oh7jeGS7y+sg3t7NQ5GlG7DSsct3j9YwCD53hhOSTbbqPHl/fXh5///728GkidP5oNuRXexhn SpFNBCcOx7X4EOdRUbULnbJ8GKaiojTu+q7cFejVA6M+FrGyjq0Lcl0RHK5UCUeTOpoVbGN7msf1 bDFDT7+Nh1IWVlKoC3eW8JnysBCY2dR6NJVsPLf9G6RKtORt7ARdwx6uYzvtJwtjyuzSnTHVqPRs VpqxD2aSMYtknQPIn+vZbOZebRg4JUwv9HKufFLqbkHs1KbKOg+pkPr2XuezlppO9H7A3mW2XzKf XCr/+MdV1rSB3j/lYj9TLczwwk5bXae46CUJuBEECETyT0mhhhRfKmbb9lWB6s+Ks7AotnOtsjCw f6mLa7ujCiTuOFAGxKVO4+1BVbDIWeLBknAmDzMYROLIKG/w/gyp6V7zbZHjIjpUhq3oYCu/yri7 BD9RSUQ7h5BxC2X9RKhko1+g761uyalR6p7RidotX5fdPgd/N9kFLRG11YQczkOCLcF7DUxFYFJ+ u+dUgIee6DQC+cpdnArb47Qramt84ZzI+GCfyPisG8hnW8ZFaLWL5LQRHnTGqCuytygl2+zTc3wm 6jxJhxelc+KgWA4X5HPw1xdne6l8WJMwnp9te/wBOKLVEaqkzUsBAZ3kDgquaK27lpGaGsdaMydm z6HZnvkUSKYpQmZnG4RbtUlGiH1ALG/VNVOS3igOQEK2nOWOnWLcMjj2AkHAzs7Nm6tdNG+3VFxV dViWuBKAQS6nS+JK4S4XzuXZnZlJE8iRYIldEjtCoyzDnBDM77KmwK50jlGQB/bsGHN061WOKdaM og5lYlf7M8uNjYxvA+uH3MIyU6iRRQfrLjSXogf6RiAQF/mAQjBVvpwSD0kC8UySzaZU/pe+o9bz q8Zase+zMyujsyQZu/rBnh0ZKBnM/F2Wln9U2bDZak1KeeIGXZzi5s725pS/PYdIZou7FINnvkt+ FMsLqzOytJGrglDzgEZq35J65aWKo5ecHM+0loeVPcVvxHq9xGUaIBGeU5ok34hrnTfig6y1OS+Y KfvjiI/n4Xz9nrglLonNfCmpZ5Z5dlfZjkDy92xKOEEnMUvzM8pVzqTKkll1dkX4RBLrxXp+ppHy n1WRF5mTwebM/rtebKb2tj2/Od/V+UEKPtY5mcrLHeHc23iwuLE+WuLRNPfK0qAzTcb5ltu60U5q c3KY0Z66iyEAQsLPqNT6iNqs9DZlC+oGyW1KSuS3KR32HO4VkM9RyTBOLdyzFPwSrDaG7FpuCS3l UdPTIQQTUrt2SAd1wLDIVNlZkQaCa0vWZbZkPVtsiHtQQKoLXLio1rPV5tzL8ljfsxm47I6QCip2 CNC9t4qssa1W0+WZxQNKsZNFrCcJlknR07rZLJROf3ayi9jMBWsSOJj2rPtCm/l0gUU9sp6yu4WL DXXNg4vZ5swXiyJlVSL/WGuL8sWS5RB2JDxnqxKZMLRNkYWbmbWbxSUPcakKntzMbHRf1qUkLwri VEPhlucYpKjVDmE0r85AFrbsjV3ZSUM2lkp0BEp0DNvbQhCjrzGdqX2oVRfz8nY9XTVucRaLIncL eyuNW65uFiCFa242tf+Kc3xc7G0RnpXlXSaXO6WAbQlvqhAiNebE5sWxoFFGI+p4t6+tbUGXnHnK fgLyI0t5hhFm7TpFozEa9R3s/Uz+bKsdJ1KcARXCr4V4vF6j2iP/4KghuqQ9XlH6wAmwOCeXiLu8 KMWdxRZgfjYpqYQlUYQPk5xrxLaiIowGhJICcncXmMcQt6FQhxkZZCZVFmZwd6wgHD57yD7nuJ1Y I3gdMDMYb/+6Nts3eOnw4nGTOgQRQ8zCQIifKt6O6qB9uYF6Ru9VmCIEqzdNV9ZzmtzZsqj2O1eK yt1dyo2dUxxliflRaRzBMe52CyGbdtYM1x5snE+gnA6WAIZv58mB1lmsXUBPrtfTRQNEy+sxzOCG L1mppK+vffTOaksCQh6yaNSmgVxUNc9pesTkEvBUH5VShF+u/fTVNdEnCW9i1aGWeh+WqZyYVI06 MkZzZHckJIVbwvVsOpuFNKapiUZ1Wrg7Un2xVJCoB2HDa7dN/2hfrPRJ9ytPWh3ZQoUA3YlE5CpR MEtJwC32eC89avHXbmu/PbutBUmEfIuo49mUuIME51iS0fKQHtDuihVJb3jK8waCQPF5BX+TvSV7 WSrdm80VddGlxBspcHMuuBeqyIHKJcni+kAKWY1zPiDesCMuSQGxjLdM7MXQ7VBY1en/M/ZlzY3j zJZ/xU8TX8fcnuYiUtRE9ANFUhLL3IqgJNovDLfL3e24LrvCVTW3+98PEuACkJmgH2oRziH2JQEk MgPbs7BAR+2HEMxX/W2AavUDyv8USaNHBOUI2yCwty0F7Dp7G4RLNIojcS88z0SPdUmCXfSrjCLK sY/lKePAIKtyiCXfp6aE4nznWzaWDqt3W3SRVwiBZS1LDr1+C4d4KLKTyCK5Y+Y7FnZBNBAKmJsC JD2Y9/bL4Dxi28C1sLRq8N4t3gOtNAE775k4dQBHCGgb95R5KmDqJfd8QjtNMApni+5RANwn2W2q HOaKD+qcj+hzOx9QScXnTycI8Pf9YlRFDr4BHMpxH57rM0N7ahs4rm2RR6MD7zbMckKRa6B85nPq 9UrcVQDpxHCxaYiAL2Ge3eKnhsBJq5MpmyxN6lqoFZKUS+YTUvhYHye+Nceq8ir38MqvSWEjn52X 8JAAt2qsfddouhb8p+FwmaMeflEmEFIBjqM78rvdbXciJusorLOdTbxt55/6t8S7/NrzCF/X15TP AISeHY9xdnMwfRYVro9O6npl5vrhtAgg0tr6kWe13cykOBIrfvlPXMlv3KVK3SiORjnf4maaiAvv ufB9D0AHeXI3C+k9Tu+jWL3lH0AW69fOI0AaTx+jjVLC6jxnGI1GAyHeY5YD1Iocbp4RaHFzllZX h9osA+ZQ2DXb7HxcG5hj7m5DYtf0gJ0/zLNZs1TLKSwwhHFELhjkhN2LytsgNmgmuE5Z7mGPHdTs THdik+ie7pO6Id7VDSDfO6YFGB/GpUWoCEJ5Lb9mAXahpeWqv/fSJHo+3CwbOxRSv6zDuWZA3Tgt ORMbDquFbEjoO0tsi4n9TQZzXqwtkoK+cyJ8aPQo8XC/Rwm7/oBuHTc0osSlrSxEQHh37tM1oHxp MqQL5cWt4gLK9+SrLcm0ozr+s9uh2ofqR0x3HHC16UUYPxG8ZrZDXDgCRKwfdqBKsdestwSkfAoh 8xuYGQiT7hRHKpwBDQfKwkYkPu/d38XhYvN0H/OS48UAyLZr7JZWjVactiRFoR1vfm4KOc2D5TN6 sp88LFwpS326hH2dnbNKWy6v4NH75voM1p7/07vbAWOgb9Kw+y83P944++nmx98DCzlSuqInuOKS Tah6k8amehgxNjVtrfMW1DrxE9Pzp7Rh545yi8ZiwmvAZWlwNH399vMHaX5jcG+g/lx4eZChhwOY g8sSVBVXUkBTG0yxfZ1/y4SfktuZS0uNkodNnba30kb6aAj55eH1y/SYT2uc/rPyzBLKwZSkfCrv ZgQNTi4z63FD8EwMVmqT8jMgv7xN7vYln8anah1CuFCu3YQq4ZXnEZurGQm7zJwoze1e64wj8pnv awlJWuE4NqG2MHLi3s9Y7Qe4JDMys9tb1MbcSIAjbDSvAIi+RPhdG4lNFPobwsCxSgo29krdyt63 UqA8cIlthcZxVzh8stm63m6FFOFjfyJUNZ+LzZwiuTaEhDdVz/xh8JICrulgmVnJUX9rvUJqymt4 DfHjxIl1Lm4JY3oT5wT/Z/jWUY1pk3ZZHRLv26ZC8pkH122dqip3uqY8RyceYma2zUrfh+PjTtde nbCwsm1CL2Qk7dH35MqcqNxKwc+uYg4S1IWZ6lBvCt/fxVgwKLHwf6sKA9ldEVZwnmwEO5Zr7gAm Sv+cFYOEY15h1k0T60c8yUDioOwvT5lIYKOXErdiU2qikVPU99JIOpQRyP3iscoyoXx+FykgltQp cdUtCWFVZYlI3kDibe9RRigkI7oLK3xQSxyqa25xbUa5MC5nh6ZI6CtIWdaxwc0JTTzqhGBcxsF1 PX5AIynClSzhrFcSoGZZVCcJJtj1oydl0VIcCOOtTTzF7glw1gNjl249SdznoU2YdOwlD7e1uv25 aVDNl17SyoPdxu6qa81nhGVuOQw3l5d0X89NdMzlp5yvjsbsHCsH7wUDDLfVSVJRnpQnVpNmjWld V6hxEpWkp+e+vlPhCKhJCJ+zgyzGZc+iZ5qIbfMJX5IH0faa1FxKMMVxl4SkzTnJiHLbMqVSJ8dz Bi0GejENMU/15W8rx2r5bsqU3ln8YypWdAg8YirpGdd8vXmBJDqbqWy3geX1PXat+euyCes7UJZd 6wVxm7nGcZnmYCoLP00YGiV0cU0TicOGji/n1H6v3+EIf08wZruwrgn5RlLj+uL4vOlkExNbvInp ex9mbjGmxhOKIaIvz+aNOk+Xet1iy3N6eP8iDG+mv5U3g52+/itYzzQZXgTA34Tdb4mDL7ZbXRdZ AlUE0gX5XZbupRgz+4xyc96nJl9sziKep8ycnLQFKaOpo5U4wmpvJkhh1MyRmx+CchYcFDqGeYKa tY3+fnh/eOQ7aMUAdP9N09xNwstFOQeI5HNtELsKlglVBtWBUzMQsLCOZXy6UN7FXFH2FNztU/EE XrmJLNJ2F3RVc6ekKi82yMDeJLrt6xUaZpR5qenUpLwvKS347sjwMyjhMa1juNdCPlVIy/m9y5f3 54eX5YvuPnvCEUCkvqrpgcDxLDSQx88F5YgvRrGwC6E1jsqTVvbn9SGgA9wlYHlXSYt20zKRh0Sq mm0sBegfqiFIUQsNcvb7BkNr3rBpnpgoSQvTchJTxc3DAvx2Uy6+VGrIqoRX7IVQaVepwrNe7z0B jStO+AahIU2ja4VkmF6CygAXxoHrharGodakLCNa6krlr26cIEAtUKp11/jedotHPTh6I+u9bA3F 0i2USM/ob6+/wpecLUaNsJ2AGOroY4CVhMdh2ah+94xjL8owQUpfn6cxDFDhkg+0tgidjp4udavn KUkFNGpATQr/aLjs+d3GjC9GxoBSqYqjH6TAedi6pDlHlUKYLZMUyFOWNuijtj5/p44hc4UMnuYE 28YJdIv1hKHhTLnsqTP7SzqnN9myDDRk4RPDzmeG2mP5soMID1FkiaKoINT4Robtp2xLGZzt+7sU hT414XE+vRHUNVp6aP3WN4y+XkWwYiKqRbF12FADXPwy5aOuaKGKw/AMOavWCsN/8TWq4OJ0ekyj MqNsAfY1XqH2Kof2BCuNeJklRI3KPGrqbDgc1yFxp3ReLvbC8Qt8xQW63gH6IHxdBke4epjm8QcC +CZnEYBud0SMqFWR3m4O0oRplad8a1LEuPkeLgpyOTMuNU3EMbCDtZ9LvTmqyzjR+uVxugadIKGG 39XF0VFVCScczn7xtJfmVBcU2FJhkcIgR4KlYjzG19/kTEBvsQL7pLnVVAXcnY9v5eFYMZ15B5M2 zqQV2EdkjzBFG15NDpxPFXHk1kT8T4U1Gu+vfTcdyXweyO5mDmrljZsTIdeWqtdkMEEGIVwWrpNj qr1P56HivDwtDqUeDO4ew2YWxuU5eRmoBMoXHvIRws+XH8/fXp7+4RUF+RJ+CBHhBD4L673cy/FI sywpiEebfQr0YepE4H8bGVkTbVwLvw0bOFUU7rwNphWoM/7Rhu8ApQXMMsYEeAuQeJx8NJY8a6Mq w2ZXYPQ+ycHrtt5UYXYs95M7eGii8fQC/HhMTdV3/huWQ/jf4MdjsvCHqQLI6FPbcwkFrgH3CXc/ A07YwxR4Hm8Jj5w9DHaiSLy3hkHiaUBodQiQsvEIINguJM4IOVqIh9h0uixlnrejq43jvkucQEt4 59M9nzLt2GN85l9MKcJmIdHGLNKPAqY56N/vP56+3vwBPr97h7L/+cr7zcu/N09f/3j68uXpy81v PetXvokBT7O/aDPWcoXqA8dnYmqwdPI9H4a9qSmyxBG8GyPelckhyNJjcQ3rZCbVzkDMXNOMwrLw QmdEjYtQCwZakieotTGBtXdFybx5FgylS/N2Nnf3ezF9guH7WVQXS4AXf9PqtkFEH+ciQpwSR+2w 9ND342IARSHqMFSltOE8UR5krDzAF62g4J/P1TzKOk0x0U1At+6s9vjeKOfz6UyWE0MybwhbjwLG BWOAhi3nPKjbV/kis8PhAhHX6GT+MP8QngSFTUo8zBWJyteL9LQi9yU0nFU7sg/15rOlIto/XKp6 fXiBOeQ3udo8fHn49oNeZeK0hNvZM3FpKhpe+tXssvR4Im53IBvlvmwO5/v7rmQpYV8HqiIEVYQL fswpCGlxN7+bFZkuf/wtBaG+YMrcqE98vbYD2OIsZnrWUJfC6CDL0nw2WSuc+9bZ+dtFP2zOmPa8 gGBcLPiZsIko/bzRMxd4IqX9Do4UkDZWKDOBdti1zTwWVIhbCAWTPu3H02S+duUP36EDTd4LMC/Y wnmS2MTjm1iA6xweoLpb6rAHOK30wySNohBZXKxsSiCcV87Du89IHfSPrMmcmNY+WYfDkkNSSCl7 8B5s8hwM+Ny1sNpM4oSP/y+K9PKOwEFT/hPQYinS4FIOPiLBstb2OhBUZZbjzOuVLxOUW9sJJgw3 AGG0CzGLt6brQq48SgBzI1hX51GwyA649GcRZzfA4GsQS0t8+uoJJ1Or0c/Ye9SnUbE02Tbh7mUg OFbHDlnICLteKo12SQcs05oEhBZebNAovWIJOCOODzl2f1d8zqvu+HlWkeOEM/hh7mce9RKrEtPD TOsXQsEHMShA0344RaGzxHdaevqh5BtW5erJMRwwwQkq/1dsvbUTK4ZaTq80/Sz+czkJy11ixW4e X56l38vlXh8+jLIUTDXeipMqtCgKK4tTQmlRIc0nqjEnf4GF9ocfb+/L3WxT8Xy+Pf738riEQ53t BQGPnY/lqdr08C5uklFskfrz0mzDDShhF0kDNv7hKbg4kROmbOFBlqJI//DlyzOo13NxR+Tk+/9R 8iC3/UMC1fPrzKZ+z+sN2Qz87liXZ1VFkYdrNjcUPpwcHM78M/1GFGLi/0M/6YGxCeSybTqiGPJF Ogbp8TyqHJdZAdb1Bop+UzQEK/PtDGG8vnVpfERa27MweXRMK2y3W9+xsI+FZo7h22F1X+RHnqvq R9UDVjCnPzpbpLdPaj5Vdfsj4VZjQSO8rC2JhAfqOW8ToT7ph6rq/SvNG1wKS2EVWD6JRpVtWyTq btt2CcrboGUHE6ab8LVH4wRmTlp93lg2rnWmcOZpYYztBssoz3/gE+8GVM5ujQNmAihPKko87daU UZGSjbSQAHYbCkC++BwfnBZrMWHWTqw5sN5gdSIZbC8Zhuwubn4HQJ5+UOHQo3ykLFwaqg7RMpwH dnUQbrc7ZBhPoI/OLfh2foSFeTDsO6HtFFJeTSaWR/hNmRg+j8fFDy8XrI5YgSdewHnEQ44Zi3jK MWMFLi7fLGkfzduHeCfMtPCc0tVE03D04hKPgyfWDvK92oCS1WEHNWozW5yGdtoR62oSPSEdd3aa pAXbDpKSFMSxGVqeQrVg5GOBYUouc4yLdeZpeCTyNfODTJbF+LMlLE7zvDkxW0K1ECmQjx2uIDxV sQaBHaS61fy4yJTc3GKBgb11sUaQp0M2JmuBcKJZHisPM4FFXNL1XiT1j+CWfL7xlQIieY4gIls4 Y1bBwVDjcKX49PXt/d+brw/fvj19uRHxIueC4sst30ALe3B0yobzHonncYXPVRIGnXLsgaFU8h+v JNTQ+BpW2nZLhIKqH53OoYF/cKUttZLQawhJqM1NkHMZ+oxveCVegb9ZTGCWsC4CSp3czPLtWdjc UeLQ/BH6dEM+gpgrXclQZO+v4jNzelNYx5aVbzgJkDhxFCBAOAswoFq04+WYaIynf77xjSLWc03P W3tCYWoseDBJHFFOBNQXiWw5uNJWLzfU0Ln6Zo/BswhDFS73W7P2rNLICfQOLsf7IV7W1rws/Uat v6RO16p33wTE+V5fmLQTTkOIl7KyJ8eRO/O1OJ7+rCTP5yWb2KcozYdLb5IQuW5ASBmyBCkrCbfj skPz5X5juYvMw6UFnfkrIVDC64guvGAzuMTqhKl+uJRA7NpWhclJa06C/zaUtppKBu0jc0YX+0sF yprI2XmEQKDwkNwgrEvSzh5wqujcIqgCyRmTyqREZVB5wE+CVf49NhHUyb4s4WlsrGrcyZhRTMbI zlWV3S1zJsMNtrIqMOwJVLzX9utbGEfdPmz4oo0/GIKjU0M0/addzJwtMX40Ct7hNQreFwZKlhz5 2n4hjE/1JLbHtxWgXQXmXWf47Ov9Z2erbbpnQK/7tUh1gOOmO/PK5zU3N4cxfjI8nSPrFQhB0B3O SdYdwzOhujWkzOc3ezsz906RCO9bfc2krAKSkcMjCnYW3gIDJ6uCrbM1UsiZaEoHXBDh9TOm00Su T1i8GTjyCYSwFtXaG5/QbxrY8twk3+MPgQcWb+uN7eFLnsbZ4Y2ichzPXFHA2RJKXwrHC1bS4oVy N3hSQx8RXU3OyRtzpdbNbuNhR7aDf57p8gMCukuKn6BKtL/xnjnok88xHn7wzQi2JWFJwcqawcNo l7ohmyibj1BwAXGi5LZFWLzQOXhj6Ry8G+oc/MxU4xCHUgpn5xAzw8RpeA2ucyj3wDpnLT+c41Oa 8gqHMBWjc1bqmUVcjsVUTUcGvKeJZooA49fwCsucQNNW5uLGzHfMBYmZ7a/0qdS7hXdCRs5haweW R1xSK5zAORD6DSPJc7ce9Uit5zSsSc4NLHFG3jHz7IB4vqhwHGuNs/UtQodkYpj7lNz1E2ZZB9Ip Pfk2oQg6NgYYt79SZgtHVhPgM+1A+BQRK/FA4LJBbTsrnYfvspOQEA5GjpjNzSNFcIjlQ+HwJc/c U4HjEBcoGscxF15w1vO8cYgLHZ1jzjNIBZRSs8rxLcKqpkYirrk0jm9eZoCzM/ce8fhtu1KJnOT7 7mp+fH+lJwoOYaBD43wo0yu9LI8qd22NbSLfW1vMI/IZWt8zckJNfiKsrECcsBrDSg/Ot+Ya4wRz V8lyYtOlENYySVhRUwiYpdAJ3mm2x5XwlSGe79ZytvMc19zOgkNIqjrHXMgqCrbuylwCnA2xpxk4 RQOKvUmdp4wyejNSo4ZPBOYqAM52pRNxDt95m+saODtiVzcV7xB4O+JAKp+pkS6/vuarqys7NStL A2esDH3OcP9ZY0QrcRheg4xSWZ7YW9fc2Ekezc/8MI5jr3P8K2XvdMx0zqLNNv8YaWXoSdreXZmv WXTy/LY1WWnWqCtjQ3Bc866HNQ3brsgYLM/9lZWYT/+2E8TB6n6O2dZKl+ScbeCsxrMNtiv7Ht7I wZqcX4T45ZdK0N1KKIjrrC6bhJmlkXDKo5V1vskre2WyERRzjxcUc51yymZlSABlpcjDebCZlIZ+ 4Jv3F5fGdlZkxEsDPiSMlGvgbgPbvKcEzu4jHOcDHHMzCIq5+3NKtg080miJyvIpzfmJxeeIk3mP KknJCkuc5C+OiqhXdeMYhGe6izPXniSW7VCxX9IHwAOxmicHNn768/8uTrLwrsvZ79acPPNOPQSX mornEHqtU2EvENyOVdiJ9ECMk0N4zpruWF7An1LVXVOWYDGqxEOY1tI+DFqV2Cdg3AksJRNPHLBP +ruqLCsj0s7f8B2dK4RoLCcQ4KVGRz7XUJl4sRDirDBTO0bVWekgYyJSabkHDHEn+VmasFIMHIAZ NCTK4fIVi3UkfS7r9LMh3dFR15CA+kQ/Cmtj5ILAO7xrZPX6pAhlGopp0bgbqwXF7PevmP2pvLlV 6kDe9j58/f7z9S/6m177cPaZ9M180zz99f6AfDt1C6FkxcpIfI9X7qha2SR5xXtDSBDVKzSqHj7/ fHh5fPv61ZQnqTtkrO1RWYlu82vYRKe4VPQ4h5Dhne0Y2wgU5TW8K8/YrerIkUYzOnE/KR1ExWhc C5UjUcTrw4/Hv7+8/bU0WD7NzuWhGaPBKxrO7oyMaxzyOGL8sro38GKM4D5Na3iZZySJ0+IKbEiu 0/YsNLP6t2QoaZgjIEfMjfgO10LaF0HG2OOrOXWhMmumwJGO267U2zhdGVlp3jpk88ghafxeDMnZ 90MGereK+/1UD191UAmf8t27aDFVf++VGxJWq3YIru9Dqkj9iDbEPQ5orPHCLM23fGdCVlnqu5aV sD1RJ/1riXnGwZuo5QZkrHlSdKFDpwr2eGbYoB/06x8P35++TKM9enj/og1yMKsZrQzhZvYAcFCg WY2cc/DI9Smoen/68fz16e3nj5vjG5+FXt/mvjb6qYxvGeB9UXkWIg62HwM3jSVj6T4b3yuxt9fn x+837Pnl+fHt9Wb/8Pjf314eXp+0qQ51tcXbJVSjUxssXBRHWID58+frIzxzWjqjHdryEC+mfQgL oybYbTzCqPZhsFZ/rChr9SIS5m6JzdAAE0fT8nEc6OIRFxvi+7Bxgq1FP4AWJGHs+pAlbUS8pJ5Y pywylEbYMreI42JBiHfe1s6vuIcPWau4e3eBCVWPRTtIBZCZXfIloVa1wUWjjmb7l4G6USIVmL11 Fs0QhzvLpUsNsOeQz5EVCmlcfaDgW8wBJi7uRhjfw/YwZcdcwFmBGfYAqBcisypkmqsrwPLIdkGN x1TygUO33yn1N3wu7V/n6IDntYtnO6cGjCqwNMKLCzBPbGaRaISzisOE+RzAKNM6kKFPYXHfRXkZ U7b0OeeWS8JE0gAHQZUHhHrshNPdQOA+oc0q6hs0d7wtdhHRw4unhVN4gJ85TgTimGQkBISvw54Q 7Cz85HPECX2QEScOYiccPysTeONT57gCToqDY+9zfIQm98LaFq74LOYPI3pJq6QWxs1ICl9JccPn AFbRwePjm65cIffVqAE3sVZh799EqktVYh1v2MLcwIzgWYZ8ie8pXxGCEHmNF2CvowR6G1jBIs+F 1/joAxJR1CRC13OWbrZ+a14qWe4RJ6kCvb0L+NiiJ2G4LcD3OfvWs1aWadbklQEVL+aqGvUkIwgL tVwIbdIuzF2Xz6INi0yCSla5O8PYBSVF4k1An0yWG3pvmOWEm8mmYr5tEeqBAHoWoUolQULvX2RK EAxTmiQQt+wjwbHpOQMIAaV/NVQMrzqD8NAzPOKeRsmGofqBEBB210bCjqhIhWCWUEaSab3nJL6+ Eaf7zTXbWK5hIHCCb21WRgr4Z9y6Zk6Wu55hWmoi1wt2hgqjXm6JybwNDIJaWKf3ZREaa3LgmCry mgcbg6DAYddeiFUYZSUR17PWYtntsEfcoir6WyOYfupEOXEZnaPo5wGDxxTKhNLEOKQtGHYvsyY8 JngkYO/1LC0BszNlzGOiw9m2ONr+6AewAwyIcamwYs8lpA6FVPB/MH+KCmWx+1GqK9xRjrBnJEyF U6nUsPBcz/OQdlp4+FPc2wgB3RixpFw818KiloI8HnnKsp1LCLway3e2Nr4Zn2iwihG3yzMSvoir pGDr4PODTiJmAoUk55oPsPwtvlZNLBDuPX1FwzgLCV9DA3+zlhvBIpR8dBb1IGnGIvS/FBYXzomD kolUHc73CWXsXqFdgsBazb1gUW6fddYOO7FQONcc6/X984gYxHIa10wjTeBC8J0g5uRVaJnHI3CY eOqNReDlwdbHpZqJxRdyz/bdteYFocChFMJ0mmcRhhzmNEKom9HsD+XNcwiPU8o6QtoPUjiIesRA 6vcbX5UAaaN8+t27SNOsWGVpjZr3rLsiGb9Q7M/WsFciwn00/NMFj4eVxR0OhMVdiSOnsK5QJOcL 6u0+RrE2R74R1XFJo0SrDR46eYlDG4PHN1NlUCGjQWW+gFB6WbIEpDdD/mXDBYaU8GtW0755IOLe SryWWEMYpuXNfr6UlAtYaOUkrkPCCTW0UFMnYX5PHEJAQY5lXWXno6msxzOXVCi0afinRE3w5hts yFGfSwPrdE2KizYSpJ1xAkrHij4wFXda4l0oWLb/qlwXfH368vxw8/j2jvjfll9FYQ6+NoaP/9VR Xn1ZyfcxF4oA3ioa8OeiMiaBW3DqMBYOyKq5j7AZj8X1B1gRnGovWTqnLJoanD3Wy9xMWBdfsFuZ SxonMGtcpjEugy6bjG8Wz3tweRGqNjsmWB0dMjSML4anupIjNwd5WsBKGRZH4nGNJMOTenabgKtW zNCDyGSe5A7/gxRifz44s/l9CueflBXDkDiXFZceMfSSC82ZCeIVOyQy5h7CCspdA9wAIsZxlU+5 3MXrMqwaWHZUT2sAxndFCDcbogrxyhM04QSAJcJKHx/gfKOXIfeGuRg0iL6G7EB81vhANxXNZGDx dhpNjPQuLrDVGGhja0qW2qVllxjvtC8Vfmo10IZeAZN8nVHaXpI9eHBiXtUdHcwK15L3qUrmHUTD 80NEwf3FzJFFyzHETlxgMZVsuJk/xMSrPJ32Sa8mPKqommd1gC6sspeZFPLvJSkIfXloSPGkHmlr rZOaOoW8b5YT+dOXmzyPfmNwe9Ob9da1a3LWAQj+OdHEepfXfPap87nlYmUcPLw+Pr+8PLz/O/ke +PHzlf/7X5z5+v0N/vPsPPJf357/6+bP97fXH0+vX77/Ml9oYOKsL8JzBuOzV7Rca5omVD1ay2qF ZdyJhkUt/Pnl+e3my9Pj2xeRg2/vb49P3yETwlDo1+d/ZC0Ich2zkTqEXZ6/PL0RoRDDg5aAjj+9 6qHRw9en94e+FhTvNQI8vDx8/3seKON5/sqz/f+evj69/rgBVw0jLEr3myQ9vnEWLxrc9Wskvkre iAbQg/Pn749PL6B38AZeRZ5evs0ZTLbWzU/QqeCxfn977B5lEWTLzlusOReqoKsEghX+KktwrInD wNlZBnDbkqDNUZtEd0GwxcG8cayWiLaNHMsJKMyzLCKvbbQhsTzabFhguZq09f0H70IP719u/vP9 4QdvjOcfT79MI2JsKZ36KKzd/u8bPn55e/8Az4PIR3xm+JWZ4wVKwwcnFY82y4TMtpzugC8AQDhW QcVuZ4wxnajPN5KNsGEcLfgM9fdNyHvX8+PD62+3XAJ9eL1pprz9Folyx80FiSNlsbksE0uvlP/1 wU/j57+efzy8qJXOh8TLv3Jkff+tyrJx2CTRYC14GM43f/LxLlpkIDVvby/fwRwxZzy9vH27eX36 H7ry43Oe32FVe3x/+PY3KBMthPXLMextS+sBQi46VmchEw3SlNCrA0+RtjIi1FCY85MrF9qm+OJa cfPFf3BZCuzaM019BMLjis/h7eCvCu8/QBOGHXLwWpkd5ma4Fd4tX6akUyU9eQg/7AdIzSYPBgkc Ua2ewJKvnFImtS1Lz1hWhnHHR3KMLnwKsWlmNXLkshNobGF5guxS2GX0MAoXE/0qcsO70GyWVj6R HsG2luXrWZAeUDLb32iidY8UbSVmyV2AnxEB7xRnhElj0ehhxhs9ZVwIwa0CAYnv5xJiXw9wmMdH XcAaFMNv/iPX7+itGtbtX8CTxJ/Pf/18fwC1Nr0WivJ8ScLzVAV9wFxGmqp7IIje97uHBg+vGH53 kbQ62PIL3ybzfn85ok4AAert5fZLQVQ3kT7kRwrvcjkmSU8Mb+O64oxp1q0luh0hLPKcbyPxgwOF BOryi7ZJeslGiED79+cvfz3NOmT/NTIfDAh2HaTgp1g9GdZyPRqkZD//+BXZdinkI/H2SaGkFZWT 0bj5dHY3PJeQ5xxpy4uhHF8PaBQXOBBfZ+VSEWUCnaNpUZTDl1oZzjF+KCTGFeHKQIzbYwgOJkk8 Suv6zLrPSY7tfETlwOOP+DyfVmSwLKbpy+wSM715RTDfKs2L+Lmli7gvoxOxM6oHh5jdEd29iVpg +Tz/4JgBPDOCGxvY7B/TAruoHahQTP5XVOllAUhrSSWQT0YZDjhBkYPPAgK1jCh8C2bLaYq9wSKQ Nj5ntSDXfuqWGhhVKL0j9dLR928vD//eVHw38bIYioIqGtwU17RFQD6G/p+BP0Zru7uP8BPaif0p TrussbZWnlggra/QhxOFLN5RltGUYnDeceMRF3oTj/8dsrJIo+5yaW3rYLmb4sM5YX7inkL8MB9l B2G4Gre4wcg+25Zd26wl9LwWfGZt3MbOknV+2tS8vG3Hmu022GHK8GLE1ml8TPQuKCMYEa1LpVwi fv/z4fFJWWb0WW6YicOi3VK2RYWAec73QgqOQ1zbQwh7vJd2SSGubOjJMzmGMC3DK/S4akG995h0 +8CzLm53uJLfgbhVNYW7Ia4LZV2AtNRVLPAJzXhgcZGO/0kDymSU5KQ7i7jDF2O8ZKd0H0pdIOo+ VBDTrjlUG9QCstYCcbUUPsP4svVsG5M+e4jvDmLUS6LGc129zwwr6SzePrgLT/tlvCgzddgHmVGC 3VeKhSZaiNc8CP1K77t1VB3xc0ohesPLT95GOZWuINymdar6Yh7DIOMxW1TRcPhLJntPXECKj1t2 wO5AZMSaU+gxiGorcBcWEy8mxVDIKGNLYqTCIKT3HGASXXqeXgivh/eHr083f/z8809wRjceuPUf HzSDuMOWT2wAkXLzHWeUx2Bca+qePKwom/SgmWLlgTGhf8oh8WbykrDQcFMFSfE/hzTLau00tAei srrjOQ0XQJqHx2Sfpc0sP4DVfO9b8W1ABoYhuv1dg21uOY/dMTxlANCUAaBSruoSDmv5rNnAz3OR h1WVgF5ggq/tUO6yTtJjwSdn3n2xi6whl6XqgQmqPTkkdc1j1/W7gM5XA3AZRaSYh/DWIcGkFmgy Zd+nfMM/6Pf0bJYa+PiEumhmEuWyT/49+IFG9jbQbkI2p3Jd5dhTFg6EdR7xrfy8E9ztk9qhhCT4 jK81vMLxrYToXawhweSA32hzqKxgmaUc0ULr2LF4OkPh/UNuAuX7fBJLt4SYJxqdizFkmoaTDKiq 5s4mDMBIlCwqLk0CEl4oq32ApmTtFUnJB19Kzji3dzW+4nHMjQ9kDVzKMi5LfFoGuOEyCVmahot4 Cd2VwhpflESvJiPl28Y8JRRjoI4Gx8Ad+bZPtAAN5Sw60xVC7cChn+3z7tg2G48eXQb3B1CbUsMX Gc/wwlaeXB641N3wSXE2rvMExPEyJ+sl3/OWokfXvi7DmJ0S4gIeWutcdrf2jniLJXonbOjW2wX0 SXApAGiMzwLEqynROFsbm+/G2RlafamLAoFRFjLWq2Kpoglg2eZgWc7GaQjzRIKTMydwjwdCeVdQ movrWZ/xQ28g8NbfOYSMPuAuIeMD3sSls8HrDuDL8ehsXCfEjTkBA3P0rRH45tJ3czoHhk0zwHyL 6vq7w9HCVXv7evQs+/ZgqOpTG7ge9qRvamatNf9d4oMrm69LCPRXlfZXgDzYbezumhHGfSdmGFdB QOzqZizitYzSYXPXdwkjtjMWZgFMoVQBqJ2jRSNNqiufXzzH2hLuVybaPvZtYnwqJa+jNirwhZML YQwMBCNlETf6M5Fq2ObIw1ApGr29fn974eJSf2YgxablnZi8RuM/WJmpRxBqMP83O+cF+z2wcLwu r+x3Z7wpOPC5K9mfD1zGXMaMgL2NeS4Cc+G41rcICLsuG3FnhVQO33NrAi38BjO/55ZPrAXeugqH V7uNadIrlCg7N47qmoyVZ32hEQEd6EXNXyMNBMGffgh3rLUeVEX5IqBLsngZmCbRzgv08DgPpbvv ZTyfQtWB7BDCNzrVuRGqbmpJZDngkhAvhsjAkHvts1NN+9IVOSSVzRRSv0R1ZRbruoIiaXBdemB6 4AVe1LJEgAc2z9SEpgWhcivyRmoaikwln89geoYuW1llrthrc6qJtMFIaj6WqmoiGIYeGW8IKrck mjdViK+8smigUNudbd+jDBlCHNV5gz41kB0inec3jO2AeOsiM8wo31ASTr0NZdMS8CZNW7rAEhZb UMJIOpDOQUAZ5+9hypJ4D1NWzwG+EgYfAbtvXJcyj8nxfRMQ7x4AjULLJmQIAecp9UhbdMD2jq// 9Nds4xD+ZnrYp2xEA9y0xC5X9OCwzkJDjR6FKU8SzsI74+cyesJY5xA9DcvoaZwvJIS1SwCJ3Tdg SXQqXXpiSYs4PeJL1AQTEspEiD+txkA32xAFzeBrgW3d0v2ix41TX88xJFIw26Xsh4+4IRPM3rn0 qAKYMiLP4UMeUKZTYWGLGT3bAEhPM1wKt2c7syVu6HigcJwFLV0vA4HOwm1ZH23HkIeszOgOnLX+ xt9QXiug94cJ41tswm6qGB4t5RQN4CJ3CP9Ccm1pT/SqW6dVw0VjGs8T4nFYj+7olAVKvGqUCyfx 0F6AcON5SfeGejOdAQnBJQ0D6lxCwVeWOXFyUjJ6Brm0pGcJjt7lB8zE2Cn+VSgkaWrTYiyEskMa RksoL9UJWQLwqk6EClrH0vvkd3+jiYdzkfCs+9Lsgww3WQPjHNqGIQ+MKExDekYDhg/qgEbGKT1Q rwXEYh/F5JnzEEVVEmaLJ/xkZjRlkZDvKQbSJeSCIPZISvbnSK92HjBa85zvPGYjIQLFNrAkbBDY wOYYZxKpD9b5IK7U0cxPSdmdpcdC3E5xdNFZ2VvUq7+D9unh/enp++MD3yVH1XnSSH/7+vXtVaG+ fQOtuu/IJ/933umZ2JNkXchq/OxUJbGQFpFGDvsAp4pTwuCzwkrWkkvzFoZKfjbIBw54+fEd25rX rr7KpPXttSzjeTMiSRr2WRzPG2drGJiSAk6ljZTPlI27gTColNEdftArWfToXt2kigwpDCop5mbq WaZ6VTICj8hvETscZv56T1GiNRcKuEWJ63UMhDKuS8Jx3Tgd1EUcwplO4/muzXd7EfxrGLf9AZYY jOznt6f3EzYG2WnDOz2mbDe2OXh+7pVNWZM/P76/Pb08Pf547w1RNjmXFqD/PqjJjvr5Ly//8/wK 70cWOVtkR5iEBOUZw1g4F0HP6TVHTNRNau4lgrHe1Iuld8Fom0N1DMnE7ltDKvet6bsmxtSAx2kB FFzGBb6vUKg/zDr90JGi3XatloEWh2d7bU6RJN8mbeAsiJQ9HZW4tSjXDwPpdmNTbmYmiudhhncU gm+781VxQChXVSPFcwnbWCMFBihxmTlw9k3HIlrgAkrEXC8ziOMTx5yU5JjrTHIIRw0jZ+NkK7Uj ON56p5C8j8RlrmrBWVnagEN5c1Eohr30SPlYwbbrfR1obRt8JDqXdBeocAjLNBPFc7OVaLj8zze9 mL/VgSHV0mD6wMZOwrb2Si9LWOAS/tlVirNeLz1trZqPTe6vzGNCQ76+dS3Kb9AgQ4XtLvBWph5B 2lFeilQS5Qls4DAuXth+d4Wr0JXFbkbvDSUY+VxqsX3DyeXA2e5oS2lz3lpbcB5v/IA28LYgfiBG z3b++UiEgrcWH8hXK91TimCrlO12NTF2bDJSx3wkpfVBbs0/sGx/QHBlueNbtB3COW+tYjlv4xEK wCOnCV1CUUGlGO5SJIVLa4QpzFFWC5njrawpnEOatlQ5W8PJ68gxHK8LziHcBVvzxNxkF9exwjRy 3NXaVrlrLThyXdtwJKYzV3jMDR1nSx/NAIlvijzDJdFAWZGNBMU80QKF8ks5USgT8irFcLM0UFYG vKCYBwFQKB+SCmVlEAjKatVtVwQZQTGPAE4JrM1qh+xpa30RdsqUtzaFsrIiCop5cAOF8j+nUlZb fEc5LO0p9+IQaOdXhpNg4BXhOfAoz+gKx3SxOnJWRkRTheBYOsSU2gRHKNWB0mPcnZs0mykFKPDi /EZCLDoLmMyFXKf4frk6fZyIxSqPzNN4qYjDAzWL9mnc7cOmSeo7YcarODa4EXpOrEP8HOZ8QvXz IepB9Wt4NPrt6RGe78MHC28YwA83TSLsimgZDKPo3JRnwjy+ZNRn7CBZYFWle+wYAwnTXQJnhJq3 AM9wXUAkt0+y27RY1HHSlFV3OBAfRaekrpXXgTIs5b/u5jFFZc1CQ86ruozT2+SOzn4knqHQcOXY qGKnAKUhmnmmeN84lkWdMnxxA0oCRgJw4UrAWUKdn0oYe6YkkHte2Hl+jkm+T4nxI/ADoXcJ4KnM qDc64tvGD1y6/nluzH319o6upHMEz7nwNQPwa5g1hN6NyNpdvVBZ0wgpOLQiKjJtFqOkuabFCX3x IUtasJRPGOWit2fRwoGjjhNanRIrygvV2FA72AwxhMOPCq+fkUJ0QsDrc77PkiqMHRPruNtYJvx6 SuBRj6Gzi+cBeXk2DJc8vDtkITsRFZGn4DWmPDT6nJGXYC1sOR7yc9ak5m5ZNLgMIrE6xbfPgJa1 abhUYQH+8LLSMByrpOC1UeC3hZLA9+N3hLa+IPC5kjKWIfAsLMQj2YieF4VeKJ1EDWr9xM2/wMso Cuki8EnbVE39BQqN86WABqskgZdwhugb6JN8LSbUAwTnXFSZYdmrc7qHHOskKUJmWFZYHtbNp/LO mESTXvATXQGWFUsMM0dz4rMRPa03p/rMmjwE8wL0BAxSTlcRr4LkFGxap65pSlqRBbxNeU8n0fuk Lo31c38Xc1HHMMFLL7rd6Yw/rRPSS1Ytb6zBMisqL0qNgoXMWBEXbj19Zm1oNKijJzF+BTcxuBAJ 8ZWnKO3g9R4XoeUTxGnSUww86oHSH7oeFtawQoSsO0Wxhui0mXKp+LIo+PwUJV2RXAcTwosC6mbd oEb7K329NgfHvKBUn7JmntSqyrKokuY4/44HddcTn2OylDA+MrD2mXgcwBqymwzMA8N7OuB8DWeg UXQ8JrVw7kdpewCZMoEM2FU01z484J3y7fsPeGUANr1e4NHw8m5OfO9vW8uChiVqrIVONG93GSrb exHaP8+Z17MAKVPKE+GS7DHTJyNBXAwvU5UmQbTwBM25CK3h7TJvxK5pELRpoLsyvrfAvl2UekiH r+fpfOQIDEy2zCojGfNMlFUQeptLeGpUPZft2bGtUzVv0/9P2fU1t27r+K/iuU/tQ7f6Y8n27vRB lmRbjWgrouz4nBePm7g5niZx1nHmNvfTL0BKsigBcnc6bVz+IIoiQRIAQcAgSmRm2/72Jo3rO700 M+B2dDfpowHZwMVscTyPrciRWtVf2u7xFdc5q1udsy4J2MbKdGx3mmpQ5OPA973JqJ+oDKMKvxey lxJbq2KmihWpYXRqq7wicJKXeYfDl/3HB3X6rpZgxk1Erdi5ipLLLzER/2xhhnjQiaphC//vgerH YpXjLeCnwztGB8RYnDKUyeCPz8tgmt7hXrCT0eB1/1X5bOxfPk6DPw6Dt8Ph6fD0P1DpwahpcXh5 V24lrxjp+/j258ncHkq69oiXxT23RppUaJ/gpE2jtqAIZgG/CVR0MxDvOLGnSZfIiAtt1SSD34yk 3KSSUZRbtPG/TcakQmmS/b4WmVysbr82SIN1RMuxTbLVMuYVqibhHWZhv0lVRfiFAQlvjwdMpN16 6juMuVs7m9JSXvK6fz6+PTfC3ZqrXBRySSIVjHpnD2dhBDYuOZZ6vljTorUC1UISkbkplGj0ELod cQnKVKRMtlZFMQ+ieUyF9qgpIsznlK+uuYKzl/0F5unrYP7yWeVErwI6tyQ6fJ5axxXQWfZV6WpW Rd1qYw7xiU7nE3UM0v3T8+Hya/S5f/nljNcwX09Ph8H58L+fx/NBi6CapPZnu6i16fCGAV2f2mOv XgRiaZItMCQn31uO0VtEHcyFoOvjvauYIilyvDAoEilj1H5nnCiMHpVJFLeEpqoU+pkBOsNSI+so ZBAcBBNC4WLkW2RhVxTQgF2+oSOlqGfgFapje+UZpNQs3aElKDusjYyh2IHZa7spL+rHTCWHeT4W CXPQVKIOfXqm9vloXTC+wbppGxnzrAOiKxfyQSst81XBmiYVRY+MU63R4bdRyGQ81mRo8OI3yyTi TX9KGC0iEAvTgFeZ1OlFX+hX1VOJhD+bOb/3MMmClVSUB6DubpJpjjmI+E9ZPQQ59DlP0Q4n3FIf JHCwEhtnybZY92wcicTb7EyENyT4Bk/zbBN/Vz275bkS1Sj463j2loqypUgk6OXww/Wszj5UYUOf cXBSHZ4s7/DiH0ZI7+uXcBGs5F38jZyB2Y+vj+Pj/mWQ7r9gR+qcoymBuBlqcrnKtIIZxsmm3W6V GmczZWxOtf5E3sRVe7YUpTWiUajyK4y3tm82RIklaZZ0S3abJH7oGnH0Etdpsl74+veQJhGGz2Ls nl1Sbp8pqbCr8Ljr4TeHQCv5bLkWOx1OQALddegO5+P7j8MZBu9q0mgvnpUuumZC5qjX5b1wpdv9 Ez1MbUavreevBPwyl20Dh7k2rBhj09tEhF1OkZbLrEqk3CqFKpVS3OYJgd9LHVoiOIWH9JZrCnak MIfElAVQRJ7n+n2fBAqB4zDpHWuccblRg7q6owMSqgVs7lj8glGyX09IIyVXqWgafVq8/jmjNYfs 9G8Vte8FF5wvFX+6+Ho//EI6zBffshh6PWQuFunNWF1J5OewWhnYpemBWqaFaMhu2UMu43uQN4jC tvANNLtpumpGraiLSlvsb65zfb1K17Lmbpnio+0VXtuIVRoYnQnmH5g2sR4uFDBioFrCn8Rss1p9 I5GapTJatAlVEezh6GABcs3KDAJxpWiJ8x08CDOy5iwtZoICQPkJ8kAGS/p9CBcTascxaGL8RVWP h9zLMKagyr5KfeU22DBpm2uaGf41vcC7/YlRQcx361ic8y3VopZVVXFOMhNoVWLe0u5szBjdWi7L 6hPiSxMVqjESAaVl1zTKnrYEtQEJ27WE0xGX0BvQjUoPJwS9UKrng00CG2SxWC+jOCez5CHfP5jf Ez1QDAWlbc27LL5z2+3GGlhWBrAOOt997ju9qqr+WuAfxm9Ydch6yoUeQXgtF3xXrXE0fNDdWJ7D 1IUdBirjC/NfW95vbT/YOtfoMOs0D4UsphQfb+Ol6QgiYiBNQqpCPEXD86NrPeo0SQUSM+Iq1aW7 jjOESTTNUT1Yona2eED5eTmPux5x6HdC7FW6hlD4XJCUK4HXQ6ASvzPx2Eqcuxql8CwMJp5LCTEK bmfJ1nVm7mTIxJircMahu8Q9z6Hdaq84Ex2uwhlVv8THHnN9pMK5ixzXPvGYKH0Vgc84XiuCKAht ZyitMXUvR1fxIDr9Wqff7eGHCIS5vk8vXG/S03VFGGDC4R6CNPQmnPN5zXHe3zyeSNeepa496amj pGnFfWhNF3Vg8cfL8e2vn+yflTCYz6eD0o3r8w1z5BC+nYOfrm4ZP3cnHGrD1P1MhcImFZrriSpe S9N2U7ezOB+fnw09uHlA3V1VqpNrPn6YQbaCpYU7PDAIo0TSxnGDShTU7m6QLGIQLqexqeoYFHWM v1tVhdmaraQdjZD8ptJjQY2H6vHj+wUtyB+Di+72KxssD5c/jy8XTJWkkgUNfsLRuezPz4dLlwfq UciDpUy42CTmx6gkuLfpsmCZ0PuqlnaTKShLTFzgBP67hA10SY1SDCtK1+cES83/K8OkIyebMeIU yFsvFDxfMAYLXTOakGQYZLS9TNFQ0pVJsZ23klqXYF6EGDLu+jVYUO3NjaJFCHLGN7qwCgf6r/Pl 0fpXkwDAYtWU2xuFrafq5iIJpwYhttyAsFHxJhQMjlXqisZ6gIQg1s7qAWmXm3J7XdyKVtgs362T eNeOW2i2Ot/QiiB6Q2FLCXGkei6YTr3vMeOKdiXaji1KhK4IriJb59lIsvF9myTMhZAGic9YPSqS xTcx9hiLeUUjgq0/sSgxt0ExGvlj3xwjRPK7sTVuGrFqQHqhe6NxiUxtx6LlOpOGuatSEW2BhD6H riiycMZe3TJorBudpYj+Cc34RqcP7YKxSNX8c+869I5WUUgQeydM1NyKZibYS9j1WAEjM2plg8Rj 7tw2a3H6RyEWrsVcMK5r2YzH5oWr9jd79XqDl7duzGTsZkYUNEhuTjSXETgNkv6vR5Jhf1sUye11 YdI/WGpCM5eB636ecEEyruM5vD3kvn2LcXAdGPbPcb0A9fcvzCnHvjGBRZiNJpSyoXaObswR5B+0 pXZ3hE6fu47rdFc/XQ56rzAFZrPRtxgeWGsSGl9vGstvsDgwhMPcCm6QeMx10iYJcz+zud2Mvd0s EElKS28NyhGjb19JnKFFBTqp14pZQnWpLO7sURHcYKjhuLjRJUjCxAxpkni0F1RNIoXv3PjS6f2Q 01ZrHsi88MZsRC7pn2nfvy3vRdZho9PbL6CF0Py9CDYxZoHAOrrcDQA5ArQxqOb51CLNtE3cJl62 XvrkgAs6nHEtheUiiAKXyeVab4IF/Lq1x2Vi3Mq80hEnWybsuvHLDXV4WYsnKO5Tz+Wj1vFufXtU pyG/NfUb9w5QmyaaEEHvaKf55vuvpV3hXieiE0E3SVQgvy1Bu9nu4mUwxfu2i2CpkuA9JEUzJT08 vNMxAs2yMrFH9Zw0UfMoA0uUA9FVd0wL0D5hxs0jxqkvEGh4Ta0xNYbTUOwk4HmQRI10XfCayiD7 avSPZkjyPSrYHtcIFRETHU0Cn1rd7lys3DDWAn+Yxi4D2G0a+06Wuq5VVlAWKZ50rF2QTds1a8gG jGusYswdi6ozzVuwXnZYqu+dCkpAnZVNA2F+jipdYPftxFwUFGAw8kPnPKWNMab46qDdeLtcqPiW 0CxpzNeynKpGZX5tndQ0DvH55sl1G6pnXvhyPLxdjBlfzz2un6Gcyx9eT0fN/F/1i6brWfeijHoR um0YHfCgyulpt972OkSRVq7NLFntkpUQa3Ve3dgQFAJLxf0sMgub7VFEy5WqgKvdcDOsSnZCBBlR DNN223lBb54YRSFa162qRSC/302/ZXh6IoJlMDfTJ+A6WMX+pxqvEvhWw7Q5nmGAult3mebX/Mi6 rLSAdaApxto1ZdUSUfkh2NZAt7UG4Fpc5QLsuZ31eD59nP68DBZf74fzL5vB8+fh40JdR1sAL+BG K8OslQFMUW0Pb2yeE0wOdf28RqEM8/V0h/VJE0AzUryBrav1AFp342YKDyictZ6F1SgLCgpBE5z+ jAT2ZRODf9GJqZG9qgHOl4U2eDXL8mCpsnbsVJDkxkr1kKyKdIpEzWHBZ7JNCMSy+gxiTBUV8B8M nPk6LXM3CoJ1sdptYRqYq0ERtDNE19h8lUazhLw9HS7ylYjrWWVIJHineheHKBvk9JyqKLJ8Vaw6 j95N1d32Xst8mN5hTwKH3K0ba4ASggHDUNRZ0DzL1zcZEfutTrqjQgeHL6fHv3T6wn+fzn9dmfD6 BOYikUGRND1dsFhmY9syizbxVnu3rqSxjSC2kBFtAmq8qbLOUZ98pdKWui+yhkXit476ujRSy2fU 4zLxXCaDh0ll02YWk4gJAdQgCqMwHjGJMVpkEzIoYJNIYkzuXTOXebM5jsikbZvjdb/Kk3uSvCPo N7ClmcSkS9A6DG0iW3rPb5IkIRNts8mS4Y3OaDnQYBHKzUvpdAtlTnbBIgFW8ENQVy0en3CQ77NP jSbjcOOwtfqO04BgOsWFygrcWDIL2AYo4uZUKtME02DhjyYjZow0CBuiZOK/dGkTMf/nxJsoDv8f 1PGyTU3RYmRt8lMDoaKhkNh8O22cUGn9e+eOtttyoTSBIBtb/vVM2QTDzAb1pA0qUX8eybBVlGci pJuEcItYzV4R4UOGFpnd7+ZhuIO1kF6LkECIPoqkrGJo2bRxKKnfwSSNQIKUIOg8PxoamqIUutz3 SZ+kCp7YPvkYF6UMCdJegkjXMPFt2mKGBGkvAbxC92pfI3QrmUOvRhUjSrO+VjBpJG9rlPpmaVlX s1htk1p3axWOg9Fo4lGF7cdRH4RdwAXeNgIF1CDedID/Q+dWGVM3vRqtwEqgscZS20CjZOOT8+Ea zL7EtKMeTjt/aIo1LYJ1hLdscF9szkjl6rYLw7VR5FnJLsD6QsPJQcc6D8ZugQjxgZpg4dIPRrHT +1xutgPbqgwdu2kmMrN8vUyyRdLMvLd4kFmyNJ2Nr2XVOnJVR66QzIg4b1oOlKfP8+Ohq6IpBxfj GpwuMS1dugw23qkpKco8rLSualMrnSTb6QRhVHWAjd5yVHUwzlwgWIrVKt09rPK7IC9THpZkyuCV 50GxBnLLGnvjxlTATTbFeGk1ie3blvrHeBEwSkUAFUwcEy1bANKxZax5OltIllDyvCjuiNyE1ceE gkmBUhGIYs1EQKwoCkHfCojr5haUaakcPEIBEEGSTldb88vFosHOlXJUltavzFLXsXZiyuT2qlmj TVE9HhqaRWVLpYmrDCzCaKqWmqrC67KsP4m/VaV24yALJexrlOOznrwLmXWq1tZJmSYCZgf/7SiM ZlHY8zW7WRpvsU+ND9LWJyPtpC66ehjpq76Ht8P5+DjQxqZs/3xQHljdOyz6aTTAzAs0kLfrvSK7 NAsMPYEkwP1hxvZr5xHgpc2IEvkqyk3D0rma6eJ2Gw1zaM1VFel1BujtomN/a4g4WNtGSMr0i1wv jZdXJbuN6ToOM5x/h+KsDqw9kQ6vp8vh/Xx6JI9PYowUhbpO98H3149n4iA4E9LYzlWBslbQ81HB WpBVVw9zJm1ch1CKmPLMbNBJUdtwMX3JT/Lr43J4HazeBuGP4/vPgw90B/0TGPZ6q0WnNHl9OT1D MSY06XxgdU8Cw7Emy1ltfpyeT/unx9Mr/VQeyGyK8TOzZKfiDhorMWaK0C5QxAfhnjJfF7J60fG/ xJZpGjLBcpYH4WzeZo4M4zU95AGlWiMuw0z7yal33H/uX+Bb2h9jMtRcTqlFXWEiKnbpKoji/HqE VI5J3FZArspHm3CnMj93gMzJOmXmDRVV+BAuUUQrcjJlL8Zwb0uwqF91RdhGadOvC+/AGwGSNJ1R VK8L83xGlGZiF61gX1g222CkWDJXkay5EtRlRB1KCpW5KcGg9KK2ENt18DUkhqdgHGaPfROrc+fs ZmsZk+Xp6gFHgMIyQVaVifKX3XSja+A4febAF5Uca8wjJkKkiufMxLzDHow3s5zMPhxvi/DqUxz/ fXk8vVWxgIjLcJp8F8Aui8mkaaGopNlmzpj2zigp2CzsJY7RnlwmrExJomcHTH6MUkGfSpWUeQHq okubz0oSKTzPou5+lHh1V9vc/yoorAzTtNIKO03+jdqTzfoSPJtRt5bp3VRdM8OfM9oChASl+zWL yyp+Xh8FUYnePB4fDy+H8+n1cGnxRhBtU3fosQHXK5yLtD4VMCVomwBADuP0MhWh7VnKoZx2AY4C 7sJvFLiMLxQIP3nE2JU1Rht8FMY4l6h+LXRDd26wTegBvNvKiK78bhv+fgfKFHNBMnQdxrtTiGA0 9PiBqXBuYBD3OWuNCMZD5nYTYBOPOQ7QGPMp23BoMS6UgPkOsybIMHDZXCTF3djlsuECNg3MOE6a 19/2IClhwJ6n4/Pxsn/BCxWwJHY5f+T4NLcgNKG7QEH0AgnQkMluANCIf9eIf9eI8X4FaDymPRMB mjCelggxV5pw4be2uEew8HjMwqilqdMHniLOQUB2WDwMbeACm8Xj5SZOVxkeUxdxWJAuN5UVzAwS tEjGQ8ZVcLHl0nRgCvIt3x1pETpDJsO1wpgsDgqb0OMGG6fNuVcjZtvcXVgF0jyJmMv4u2MyKJ/5 fhFmrmMxd3cBGzIu/dUJDJ5keKMRepe0+tDQWGSQt0ZrGaxHnL/lVW5IuIG5kmzo99ZibvnqhttY keB4W2ObrrqCmYO6Ch5Ki7kXqilsx2Zyn5e4NZY20wFVDWNpMat3SeHb0mdCRSkKeANj6tcwqBo0 r2l47DMyIsBFGg49JuHMZuYrf7au4h68vr+A1ttZoseuuWxq9MfhVQXy0W6W5iNFGoD+sSgdK5m1 Ro65eR/cs2H4Nt/HzOKpBLzSwUG/V3ai+Wnf0ONT5RsKz5T+CJWGL2VWgTVgCiIyK6tvxR8unRs+ 3y4Ng0FU7n6wEe71lsjtg57lM6dpkecyIgRCjIQG0JCZAggNuX0QIFqGAsibOPRYKozJKoEYE1QK IN8Z5qz0hAu1z8x0fJZxTwdoxMg5CPlsr4z4EeiRDlwmtxHMmzHjkB5lqwKvdtOrt++4zEfDZuHZ 7ObkjZkBh71iOGKuFSE2YfYRvVJEhIclzpunz9fXr9IEVLH7DKM3Ht4evwby6+3y4/Bx/A/epI4i +WuWpnXycHXko2zC+8vp/Gt0/Licj398ohelOSkmrftm+lLHj/3H4ZcU6jg8DdLT6X3wE1T+8+DP +uUfjZebFc6GLiGtVrP0+et8+ng8vR8A6i5qUSJt32LnG6LcLbEK5RgWUYed5NtcDpmtYCrmNqdf ZGvX8ixWdym1qvm3fNWjVCXF3G0FxdWL6GH/cvnRWPyr0vNlkO8vh4E4vR0v7S6cxcMhN10Uxpxb B1vX6pG8EOxe/ll8vh6fjpcvcjCF4zKbb7QomH1pgYIBI48tCukw029RrBlEJiNOW0PI6XZ7AnPm goEKXg/7j8/z4fXwdhl8Qk8TrDpkOqxEWYNBAhzFck0Jc0v2ndgy62uy3CBL+r0s2aDh3lCybSqF H0ki6sPx+ceFHPEwA7Eppbk8iH6PdpKzaQSpiykSaSyL5IQLkKNAzltjurC5hH8IMcMTCtexmSuF iHEebAI+gZ54APkMEyLkM2aIeeYEGbBoYFlM0tFSBktk6kwsRjUyiZgANgq0mQ3sdxmANM/cDcty iw0QU+RcbBdYUWApYsZ0lRUw3PSDGTTFsVhYJrY9ZKZ7cee6jPmrCKU7ZNw+FcZcEa/6toDu465b K4y5Zg3Y0GNyX66lZ48dOhTfJlymbPdtYpH6FuOfukn9lh1TO7/vn98OF203Jaf2HevxpCBGFryz JhNmxpemURHMlz0r4ZWGtf8Fc5e73StE6HoOkx2yXOVU5fzmXI3wQoTeeNiTQbZF12qu7uTPl8vx /eXwd0tmwpaIdXehTd4eX45vnUEx5Kn30wX2pyNh8Qbld8wIAijJDpkVTmOMBAySrM2wK2IcKxdZ SooP7Y/4uOzNXTYV2cS2CNkoOx8+cHMmeXWaWb4laMf/qcg4i/si47orS227x0KtYZZBsxQYlHM4 9FjLFEBMytuSc5U3Pt3fHicCLjLH8unP+J4FsLV1rRBqu3/DjABUX0t3Yhody+E5/X18RcEQL64/ gfKxf3skBytNoiDH5E3xbsOssfmMSwm/nXCxvPGhcadZxeH1HRUihnGA9ZP/a+zZmiI3dv4rVJ7O qfqSLCy7YR/2wWP3zPTiG74MAy8uQsgulQBbwNZJ/v0nqdt2XyQPVUnISHLfWy1164JRB1VTVGnV 10KM9SLff3r3UTotivqd8DZDKH5Gu/aqFU40QgnHQNnxmSB2hQrDoo7H56XzKg0/wlg3CJouuSNw 6IBKYLrw5s9qRIumFYi1l0lhmWh1se54UxTEb/Vqx5naIY4uXMMC0cgCvf/EEsf7XJGAwsgJt92I R9MDGWktYbuaMxglijmypDs5kymCVxzATjnjD8QZ5++g+9es/XZz4deI1k2eNb0F4L4YyubzcQjf nRQx8e49BwMl11llSV6jJ17h+j3YhTLkJ9iyGZ5dktOwTjvHjmG25kQfxmKlN8qxAx6HG3voWDVi xi1sTh3CtGupa0BVVugQVrtjk7dDm643fh/qpOk05lfFJBkmqJrFGCMwaCv8XUHfHTMVhI4mwEOi Mz+eua4xywW/mad0dcaPBKBdU+W5WziDmUV3wiXd9rdPTOEGa3Z3/JUu9kK8EEJjMk19sURQp8dn fBQDwptdHFVb67ZLYNXylhmGpq3SdS0kNbAUXcFG0bTYMGCqAXfaeoCIHzp23MG31/uTTx+Xxgu9 05lyrQn86CbE+h2NSM6zyLM4n6pcMwmt6u3VUfvj9xcy0puN2mx6bj9KP/yYXMgcEHEltDXx2JVB fCIEx7IAT3N9ZpIr+EWO5n75iJvFODijzqsyMX4K2HqW90IZxjOM6N5Aw4V0QoqypaQ1QZcRSt7z TeYjkJkB9+4SH2yNk5kxMvuMPpFbaWiCgfRIDKMy/kro+7swLvU+GU7OyoISUxymWhw/MnFfqiyF 47NebLm1v744e/fxdHkYDCslyv0bKINgMwzBYteIpBfsmZBgdKXhGIqLfx+t4QjLi+xENr7mZpwJ qUcRBLN3UbosK2aXzRaRuMAfhJopXv/hBsrb3FotZPWwg0Ou8ttgkYWmVB8G7VUwGlxCE4XyrbDE DrP5+pSyZizNtqXbH5+8he7DyYe4vJgKSSIOYVjzPmQFaF6ZJvyKLdL4MbS+e8bgW6RdPZjngDjm AIphdWjHXqNXgefiQ0sdxC+P1ADfW+DUFuP0ULNhLZpkMmVOHv94frr38oglZdZUQnLgXK/KXaYL XvLPEk5eGEN7zsMEzEitpfxJZsuvQb0RLN2nfRQW4dZHJwboiJ13sBqUtf8VumiONLl9raD2mIA9 HR/UKpR3zENhq7nYFeuWUx06NeX+gv+Nrdur2qFY3z8//O/m2bXBdRdWi3kQLj1HnhGcblV6rjib JnKtwPcDCpyQVrm/Wg0Kd4c1uPYEGt0Ul0mj0I61YI3sQZr3U1QDwKi+/Pqd3AXGor3qLgeU/KXP jWlOGpnUw4r56Lh8UjwH41CS+m5Pm6ra5GqqOppYtdZH/1H/vN49vtyjh880HXoMavtfx+tnKhY+ G3YJG8sFUar1ohUDBLQZYKkYBgQ08ixANn2JzmXk1VCb+NkOFvqFfuw+EPha26PTkHFN+NdvmuhB NKopnUn31+lNgioW042eaqnjsjGeRg2KDnapZZefNdOaYnZ2d1+fb47+HEd2eoKftgtyb71zTlrO u9Pnr/Q8NkrUmzbEpGkCfb3odaO8pUpIin+24XcO4ts6bYbRncv/VNnQyOxiJYpV33We2zsC137y FdOKis3WkNh9a3LEDDpzncoIWRinGK+7dR1EkfaLCeBb4LV5vxk8rZowdF+X5AG07P0QXKbOvu0w 9U2bcbdHkzptiiVvtb6GWc3C7oQ4Zq749xDqIfDBNq/YFlAjQVlP/CsCMwLMsrAdKlS3rfjzxkzw phGrg9XWpyobMKINMdGqzK9CNkUPu7UKl6wAouDkHByltyTqGKFaFU8XIZQuv8g9MyToDiSPOnlf VXWjNlrIMj+O+zr0XHDx2gvnbjZzl03+l+t7YMVGf3YOxCxN4MxDd+XMhpV3fYi6kyGI/G5Awx7Y HW/5272PP0EQHI6t3kMdvJ/BSNWqtG+CqPYzyemw9tt36pUcVHsqFegTqTKFozRk2T6NFLv9yyrz ZHn8LRJDa4oVjbd/A6OB5QNO0OG+yKi9jIJ1ciLhqjRGWtSqMy2Z/fJGCD/KE5YEJxICN+JoT8Rw NoM2VAIdnap8Kw21vGsMPmlh8PhzudT5wiCsT+TBw3pZWT4YhmmFoJ9zuOoNzOZfq2putDE84IB4 7brzFaCBYOKWqxDvto9ftBO+rDq9drhkFgK0AVA6khkKZ2pAN0Isc8B7Y8xoDPU6G/GirzqPOxIA 0wWSLy6l4lonKasYY+J7Sw/cvQx6ahDyIrhYF92w4x+mDI7TfalU774eA7StW5+9oArkbYUU3Rin X9VONXlyZSjmvTVB8eACUSkFzq/5lxeHVpeZit/X05vbb36C83VL/COmzH4GKfjXbJcRn5/Z/Kyf tdWnjx/fSUu+z9YDkzUxq9pf10n3a9kF5U7LowvYfdHCNzxz2U3Uztdjapa0yhQGF/x8+v43Dq8r 9BIHSfvzT/cvT2dnHz79fOwk2HBJ+27NGxGVXbTnzSXFy92PP55AmmZ6SM40fhcJdB7albvIXeFn syMg3s67a46A2OWhqIAXVk1UB+j5edYobouDkuqFTAyeSbui9ttMgANnsKGRjvZtv4H9vHJrsSDq hKsOWzF1A5oQKGFpgB/lGP8sX2vQ/TwQ+qSaxLdXbaf8OIdVg/nRZA6eZAu4tYxTxFUl7Fb+EFAg /ovo1UJbVwvNWRILFg63FBRjdgu2F33Sbr2FYyHmsImkEx9tGNpCubAH8Vp/aIGP53xBlqKAnSp4 Y3OU9sFy+QNp6U4E10afi7/MrwULjpmAf9Kb675exl+3Ha8ATRSn53gPsKLojdfC5dtIq4qVyjLF RSWdZ6xJNoWC09WI+Fjo5/dzWbsF6bHQJfAJSXwsFrZBLeMuyv3pIvajjG2YSkdOiSmrXV5Lv2mq 6YmpUX5KRouHCZ3QvFY20p2+iQ5+tZVgkGNJMPbIEh42LT/rV+1OPLelYQHhC2NQBQx0RAbcF3+7 AdLptxdCxkDCo8NFnobk7SV71WmIh+OgttPBffUpR44D8lHVdyEmV3sX+xCWPVBuZFz8dBU36Gy8 lf3pr7vnx7u/f3l6/vpT0Dv8rtCbRrq9s0SjQgmVr5RznDdV1Q2lf+riJyhF2kRqWcnOlCXCI13l SBQUwe1yaGaqkCnqynm4QV0h/GlmxqnLvMs7J0BfNnUa/h42bRvBMCywTTvgsVGDlcX0VNVb8azS AqJMa/GbKkvk413YEZ/qQI4jwAGZyNAs3EqUbgIG+DFKoZ6Y6qBHOXcAOdebZxf3m2BY6RMJRs0e 0ZngXhAQ8S+JAdGbqntDw6V8qQERr9UFRG9puGD3HhDxAkBA9JYhEOILBES8h6VH9EnwFfOJ3jLB nwSXEJ9I8Pr0Gy4Y2SMRqJi44AdB+XKLOT55S7OBSl4ESZtq7qXQbclxuMNGhDwcI4W8ZkaKwwMh r5aRQp7gkULeTyOFPGvTMBzujGAt7JHI3Tmv9NnAX3JMaF52RzRmFwEBL+HvX0eKVIEawBt4zCRl p/qGl9QnoqaCE/5QZVeNzvMD1W0SdZCkUYLN7kihoV9BmtaYpuy1cMfpDt+hTnV9c66FtFNII96b ZDkXS49eXs53RWyo62Lc9CMuHJrcd96954RVO5hH9zsE+jFcJ1rPvHWCgqY4NDCue3P3COJH55dm E6GE35lwZvkKJMy+3WKyCP+z8XEU9ODuKq/w8j7JyCIA1GKf1GS2mGE2a5O+JvHSo/U/xCf3bdV2 MTQwcdkhFcr57JwZLNqv42VxBmvDSqHR7dc5ScRH325u/7p//Dr673x/vn98/cu4RzzcvXyNM9zQ 1a0JHetd7qAaBKIn6P87FGetODRd6hWgSCFzjyhOnSsRlKVt+ZmSUuJkV2WCT2d87q306eH7/d93 P7/eP9wd3X67u/3rhXpza+DPcYeonMGGbZxrmaDjUyTfmJmsrXNhuzpE+Ja55gJwb7IV5lrRtWuQ blOF4Q05FALKaJp0KovwRY9zjk8xziUrqJXmy88n707PHKm9g0rgGEUfi0JQu2F5m6CoLa+a9iVo LhkWsKoEv1o6yavLkrUNMAPii+VbheYX9klpYRhBKCflrtBtkXQplyolJDED6D8g056/xPwwZqTq inhGG46ghcdLY10BgxkuVXKO+tiQsj4URYJ+BqCIu64DDnC6vDYz+fndP8ccVQvsxzUlMC0wmuP4 0FvcPTw9/3uU3f3+4+tXs6P9yVD7TpWt9N5pikRCypUjzykMSFuVUgIbU0wDilqXyLYzhqpafYGJ Evwb8341kvENJgqMBcopfcTa7SgVqshhluIZHDFLi42se/o2SKfk0eyKuGg8a+DsDR9tYqqGNz2e 8PVmnSebRS8LS2sOGqYpBiE23wRZBO6ku/hju7JhMbIvmdZYDBpynrSJe7wxPwc4+XPtZ3gxCF0i nH+cgCVkqJaG4DytvFzn+HtpVrcgiUQnB+2cIwwu8uO7OTO2N49fvde0tlp3eLvS12wcNKcaRA5b tPvtkpZfYZcXwH+AO2WVcD0Iol0Kq3+o+GdkDz/skrwH/uEj8ZDGm7J3ThdgSWairYLBhmchQaOt FhRptgrIHAc5OLbqXKl6mYfAaaeKOk5AjxM0c7mj/7x8v3/EqDIv/3f08OP17p87+J+719tffvnl v57bsWFMHRyWndorvid2edisBQskhwu5vDREaFN1iUZ+C7RkK7DAdptqNxkEsBQmxwJM0EIlSVeh 1NTmMPIH2gLVYGT3KYI630+qFHYA6BdKZvXzODDh2CeRBJZOh1eb7qqjQxtGBaSNVqkMllgDGpNg H205ujlSlg8E+HenmlXlBidmMOG46MWzDEbrAIXwCGCQZG2hg4yGAU0KcihoSDqIZGICr6e9cPLT 2mlSXg0/OHvwIZ4B62UKqRiHBA8RmGaYzZEnnRwHhTSJEFwXsepiySjIbrkLK5Q1kTgWUBrrHBCI 8OmN7xc2eDTupIjjo7cir0fb+cMkHWhqWn4xIihLbC0bFmkwaWCZXnUV95ZCi3ndl0bKpYFrArV2 wm6apN7yNKMitR63nlcAAYcirXqQkUHzqJpQpUfLBppRpCQ5uQ0oUvuhKcWxU4AvkMnMuSLmwYnW gVngPx5Jo+vuXl6DJZ6fZ4JzAgkPuC3h4BasxYhExK5GvkTca2ETrDo4rWQ8qRBwQg/LZOaxW8Yb Fo6OaEupLahLW7XPesHFzPQZ1MASta68ltiOkb2AsBNyhxAB6et8HCDCr3RXCJ5DhO97wSWFsA2I d1uya17oayLcblFi7EXLZ7NCzheWD1rKwdav+bsI08N6ofucu0QwE2QgtNCC6Cpk1BBVgQSevY+Z 2gTNb86VkPDOKFUDqWiwO5tetoI1S6AQjLjbBN9bDygGm8yzvcDfS6J8v0KNgMxE9bWyd3HzDhi1 9pGwrIayz/nRI4plzYk8o3RLwtelb8iOGyTtLA2/HSktU93hRovijfJUjMfDvPs1St50zMDJpDMh qCYVZyQhHCCkHar1uhUuBO3RyG9gKxnmelNanX2BDP17FlqkcsrGIDAlHJ42zCxrwq7e3f54xpAs 0cUcLmBHh4Rf8/WqyzNb4PBo8AIUyNOERW+LYJHWrBZETJEEEEO2HSqoj65ypbBM1kogK1RLPkK0 ivg7KqL0ltz49SX8ly7gtlV1vlyTsJimoqxByDJRqJ+4u5hSCpcwNMgJkREaTSUJLBcjMl70gZMW zYrbqm8Eac9yLywG+I4yB9Ry89tCSqsxkcDJWV0JtlwjTVLXsJYFlX62/6iSrBYiy0xEV0nBpW6a DOXdkZuAA2yQMkFJeulTzDLoX9VoIak9cC721sfIn/NSTVJXEfKxn3+azBj2INiS4OzYRieU777b YxQbWrD1Bd5E+ImwIiIsKaKiHThlTkqf//3++nR0+/R8d/T0fPTt7u/vrqObIYaVuPEykHngkxiu kowFxqSr/DzV9daVmUNM/BEKIiwwJm3cJ7AZxhJOTyVR08WWnNc1033knp7fylhHK2RINuiMTUdu cCrNto6pvAEWSZlsmKGzcK4JPe//6H84LSC6lIiK36yPT86KPo8QKCGwQK4lNf2V24Lc9KJXvYpK pD8ZU2RhMHKZSd9t4QxyPQosRlCpLbbVRbygVbnBW9YH6+r+4/UbBrG7vXm9++NIPd7ixoJz9uh/ 96/fjpKXl6fbe0JlN6830QZL0yKa3Q3Bwoam2wT+OXlXV/nV8Xs/qmjQaHWhd1GpCr7Wpd6NDGBF kaIfnv7wPSHG2lZccoER2TVcA9mHgqn2FfNJ3lwu7Ys6aEWI3wsXZ+MeVVdh7jUTvPjm5dvU8aAP cNBFI7ctkpRZdPsDrcP3ifgO/P4rKNhxvU36/oSrhBALM9Gk3fG7TK/jvUq8Mh5ybvlE2ynjHlAn 5AemWFCbt4nK8e9SyU2RHQuRaB0KwY5tpjj5wBv4zBTv/QDPwQbZJsfRgAEQiuXAH45PmB4DQgj6 axnLpjn+JEQMtoyu/nAcx8ZM779/82IrTMdoy6wPgErZ10aKsl/phZ0Jytop0z0QRC7XklXLuPqS QuW5Xjzb0qTtFhcbEnyUm5eplmndOjpDos2/Ta4TXqseJzDJ22RpmYwcl5t8JZgrTPimBo1pcX2o xXEDpSIc/sn8AmOgBvH8p9Fa48XmUsGSx4VFn50urlnJoWNGb5mspTePfzw9HJU/Hn6/ex6TE5gO hGu1xQABnOyWNSu8kCl7HiPwaIOTrq9copT1cHEoonq/6K5TjcI76/pKkLjoduxQ/RNha8XNNxE3 wlNVSIfit9yz7SU3amoHEmGzg809pOqA7Kp2FLYzTQQvC4Zumm66OhQyJDrf2RhQB3qMlO0H/iLU IUlTgSTZ6R5N3BZ3LZZQapjy/ZCW5YcPe/7ex63PlHutD7bsQlDYHZIxStESv9yRRYKuIjkGURi/ qK17hqXR8CVrtZdSFoKWWRQKr1vorgbjgsXcCVMo/Emy8MvRnxiT6v7ro4m7S6ZiwcuCcaCBsyZJ z+kZwd4wsXeKeAk26bDc2W1ohBPcIsMxQVFgLDtWOLBcGUsiloyeZLOZJKydpDsZjYc736cJw1Xs IknBWCQAdXuBoFRVSSRR0+3hSBRyy4eVd3yvdJk0V8yTho04/fvzzfO/R89PP17vH13xvEl09nGo L5z4CbAJFeawD9/V6PKZw5prRdfKazQ7bbumTOsrE/HI99x3SXJVCtgSo4B22nVZmSJophhBpEjq GOWaylKr0VspLep9ujWP/41a+9w5hemEU4fd/emxJ7ymQ6wYQJVdP3jXHLD+giowTbFsSWAJcp2q 1dUZ86nBSEICkSTNpSyjIMVKMPMELK+YpL/Nfcr1ympTHo9Lz5gv93urJY2zgDd/4/w4k0NgmiJz Py6RRNipAeY9YXlsybVSlyTBzSUT1Mp1Ti8dN0sfarx7Q/gpC0fn2bmYBw/s0E+I/TWC5+/N72Hv 5oy2MIrZVse0OnHZmQUCq+Bg3bYvVhGirWEmIugq/eKOt4UKIz33bdhcuxb2DmIFiBMWk1+716oO Yn8t0FcC/DRmCu7d/7R2Mr03L9vks101mRdLqW2rVANzI+bXJF4QpxaZj5v83YDQKGDwmBI91/mh s/B1t6yqOoyy4hGgrCGEYSFvAa+S7MLlvnnlPVzi76XtUebohu6xHBgJ4b4hE1730EOirnLOWhP2 mRftrtLZgLGjgPU7Q9qn7Yl925+B66rsWFsLgLMBapD+7J+zoISzf4iHz+LRJrZ5n1F15QdLtG+u gKGbvhlF1l+Zqiunc62xGgjfY9FkhJmB/wcogm+bPHACAA== --94eb2c03a2bce0a7f8055b6f0b3f-- From mboxrd@z Thu Jan 1 00:00:00 1970 From: Pavel Tatashin Date: Fri, 13 Oct 2017 15:09:41 +0000 Subject: Re: [PATCH v11 7/9] arm64/kasan: add and use kasan_map_populate() Message-Id: MIME-Version: 1 Content-Type: multipart/mixed; boundary="94eb2c03a2bce0a7f8055b6f0b3f" List-Id: References: <20171009221931.1481-1-pasha.tatashin@oracle.com> <20171009221931.1481-8-pasha.tatashin@oracle.com> <20171010155619.GA2517@arm.com> <20171010171047.GC2517@arm.com> <20171013144319.GB4746@arm.com> In-Reply-To: <20171013144319.GB4746@arm.com> To: linux-arm-kernel@lists.infradead.org --94eb2c03a2bce0a7f8055b6f0b3f Content-Type: text/plain; charset="UTF-8" > It shouldn't be difficult to use section mappings with my patch, I just > don't really see the need to try to optimise TLB pressure when you're > running with KASAN enabled which already has something like a 3x slowdown > afaik. If it ends up being a big deal, we can always do that later, but > my main aim here is to divorce kasan from vmemmap because they should be > completely unrelated. Yes, I understand that kasan makes system slow, but my point is why make it even slower? However, I am OK adding your patch to the series, BTW, symmetric changes will be needed for x86 as well sometime later. > > This certainly doesn't sound right; mapping the shadow with pages shouldn't > lead to problems. I also can't seem to reproduce this myself -- could you > share your full .config and a pointer to the git tree that you're using, > please? Config is attached. I am using my patch series + your patch + today's clone from https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git Also, in a separate e-mail i sent out the qemu arguments. > >> I feel, this patch requires more work, and I am troubled with using >> base pages instead of large pages. > > I'm happy to try fixing this, because I think splitting up kasan and vmemmap > is the right thing to do here. Thank you very much. Pavel --94eb2c03a2bce0a7f8055b6f0b3f Content-Type: application/x-gzip; name="config.gz" Content-Disposition: attachment; filename="config.gz" Content-Transfer-Encoding: base64 X-Attachment-Id: f_j8q14a9a0 H4sICAHX4FkAA2NvbmZpZwCUPEtz2zjS9/kVKs8evu+wEz8UJaktHyASFLEiCRoAJdsXlmIrGdfY claWZzb/frsBPgAQlD05JGF3o/HqNwD9+suvE/J6eH7aHB7uNo+PPyfft7vtfnPY3k++PTxu/zWJ +aTgakJjpn4D4uxh9/rfD5v902w6mf52Nv3t9J/7u+lkud3vto+T6Hn37eH7K7R/eN798usvES8S tqiJyGfTy5/t52w6Z6r/JCJK6zK9kTWJY1ErH5/nlU0MrOqSLGgtU5aoy7NzFwUfqkFNnR7ynJS1 KOIamMs6Z8Xl2edjBOT68uIiTBDxvCTKYnT2DjrgdzZr6aQi0VIJEsE0qrLkwpovyzK6IFldclYo KuoVySp6efrf++3m/tT609JnPFrGtBwyMvyZuEoyspBDvFhLmtfXUbqAha9JtuCCqTTvCRa0oIJF 9bxaBIG1oBlRbEXbscohWbqmbJGqISKSVaCriGRsLoiidQy8b3qCW14ALCc9JCXQcdtuUZWeRAHt iEAVlMYajfsEO6Goh5MLjc5osVBpj5O51YdcM66yubVtHAS1TmlWUtFDl1QUNKtzHlPgzYsek7Dr mhKR3cB3nVNrLcqFIvOMQv8rmklPjJtdlHVVCj6n0tcjwaN6GXFBa0WvrUnHNGnlhUl1efLh8eHr h6fn+9fH7cuHf1QFySluJyWSfvjtTuvxSdsW/pFKVJHi9g6DYNVrLpY9ZF6xLFYMOEHXegrSFchU UBLXrEg4/FUrIrEx2IlfJwttdh4nL9vD64/ecrCCqZoWK5gcDjyHbbzoFD4SXEqtZCyjlycnwKYb sIbBEkg1eXiZ7J4PyNnSGJKtQFwZbMjJSQhck0pxZ/VIlak65VLhUl2e/N/uebf9/5NeHIgtHDdy xcpoAMB/I5VZW80liEF+VdGKhqGDJmbWIDBc3NREgSGxRDRJSRFnyKpbi0pSUKnAKpAqtrVCq5OW IY3Abklm9XsEWq+JskdhgEpQ2m4vyMrk5fXry8+Xw/ap395We1GUtDgPDQKiZMrX4xijJ2E8TRIa aQtFkgT0XS7DdDlbgNFhtn6mRMSAAru5BsWQtIjDTaOUla5SxDwnrAjB6pRRgWt8M+SVS4aUo4gB W7PVLWfTtNt1q8+YgqkO7D+SJFxEYPCMYrLCMvOyJEJSn609cc03kSHJQimK0C9JXkEHdUwUGU5M W4rVQKQ6V4AMYGsL5Ru5lEhoHC3rueAkjogMuZe+tUOmxVE9PG33LyGJ1GzB1YBg2R6D1+ktWpVc S0i3HAAEa894zKLAMphWzNNHA02qLLObuOgAsxS8KMqhXjVthvVMorL6oDYvf0wOMKXJZnc/eTls Di+Tzd3d8+vu8LD77s0NGtQkinhVKLPfXc8rJpSHxtUckRy9eQ6j1gnIWHshClYK8GocU68uLN8A uom+WLogEwZ4jDTiOgBj3B2SXiIRVRM53OkSzFNeqhrQ9irAJ3gv2NWQ45CGuIuvKPVBOIvaASFD mFiW9fJjYUy8QRfRXLtl15VC5FicW16ELc1/hhC9rj0448ghaUPkTzYcdxiCURt/3q8JhHHLWpKE +jwufAWTUQpD12rmqWcXohQVRFFzkpEickTkffDO6dICYwnL/EYLwavSkhSdD+h9t2Mv8JHRwvv0 HHUPG/Yyz5ZNT7Z8aKtn4QJSYhD1GqJpOif28jQYvXSW0yZM1C6mj2QSMF9g6NcsVmnQYIDSWm3H h1OyWDqcDVhApBvk2+ATEPJbKsb5ptWCOoEwCJikth7rmBS6bzCD5YjpikV0AAZqV8XbiVCRBCYy cHMdgeTRsqMCTxSebkqjpU5j0MpCpEtDFh1CP3CMkR12VyjodlgMYZ79DVMWDgBXwv4uqHK+jWJh /DkQPvCVIA+Q7AkaQdoShwUCLWZg8CizsNQ6phaW+OlvkgNj462tiFjE9eLWDm8AMAfAuQPJbu20 DADXtx6ee99WMSCKal6CM2G3FKMRvbtc5GACHK/pk0n4T8hAe8EyKSCUZwVkX9YC60i3YvHZzAnQ oSFY/oiWGAea5NkyBqUjc6MewmObg/1iKAHOLoLCYChaN6FPeB64H11oZEsAjnO8pckduiChgS6B WN7kAUjtddDD55JnFSTiMFNQxUBXHekcksauFmDrPXoT/7sucmb7OctC0yypMXW10MgZYyXLWsKY rr1P0CmLS8lteskWBckSS+D14tgAHSYmjt2F/T62PamTsBNmCTiJV0zStrFjclEQtEtLQna6jFh9 VTGxtHYJupkTIZgrQACkcRw09lq2UYfqLnLumpXR2enUbqPDo6Z0V2733573T5vd3XZC/9zuIIYk EE1GGEVCrGzFTWHmxi9qJEyzXuUweR6Kile5ad36a9vyZdXcMHJEHqGNo9ZqwYuwBW+qbWIZ9gIZ CWXByN0eAcG+xIK20Yc7EsCiQ8RYrRbglnk+2ldPiJkkBE2h7dJzw4gMsi3FiK/qiubaY9UrCLkS FukUNSQ6gicsc2KpSBCZetq0pNc0amG9xptCUoDtv6u8rGEq1B0XROkQ/y3pDVgoUFm/yNKL+5Bx nzmhnOq6HBgg0FD0eBFmBmMyDZk8ixjKTVW4LTzDvvTrYgYqqAoiHGvU10C0+U85X3pIrAvCt2KL ileBcqeEFcOMr0mpAyUDRKKFgrVTg6IlZrbg3hRLblpvPCSAhk39xxucoAuw20VsysvN8tSk9GcY ZaFpAV2nfDYuXYNOUWKCIw+n9R27DcF15GOGEld27bRfZkfCnKlAbmRKiIkpI7mLYDbOJCpRXmIN 22ffyIgpXOoMwV8F086U/UZwMa/mmd/9mmjrpa0NRnumUtLWEwOzlDRC8hp01ElQxuCmsg0hT5lV C1Y4dtYCj6kKUOhVB3lXFIu2XiDlIkORvU9TQxjlh2MeBQhBlRERtswDatgVXoSKUiplhV40iCR8 oUK9o9dK6+bSMXYaPVK/8KiO1i4c/S+wBIYGBzOcgPwYUQQcOjs7p+RxlVGp3SBGNBgYBbRYo7QL gVA2xNo5j/IYuLj+ICvQ2jqEGmNik5ydeUa6HXA4+2QSMvZKG5mQIGV4aoM58Bp8oNU/z2IMzGQl S1rEVhmoGUqDJ1FTk+1FCfa34JY3SIIVyH7kq+aQR6fhHRuN4jrSJ1l7SCPW18E5jhG3IcJYBVTb agVGX1mNLO0fR/nNjUgFmzsoKwdMtHQP6ozmsCXiq39+3bxs7yd/mOjvx/7528OjqRZapoavmuEd m6ImMxEIrZ1KrnNCZzxnSlGl3IALz4OsBBHmhDG9rf46DZAYUl6eempmz7pZC13UBrNOQhFXQ1MV iB9tbNBBaQC6xtSHI5uGjxRRd5Q0UuptKVm4bNGgUSOEFxh1NCADOQwWTE1cLzEXG52xNOXKDEIa O+qYu/U7rBHISDIQoKuKOgXJpnowl4sgMGPzIRwPhReCqRsntWqQeKIbXuKWAmIorhTGtaNkUR4D nhofHPY+SLaeh7TU9IN5SyL9EeKK8pIMlafc7A8PeL9hon7+2L7YCqODeF09gCQQKxhBAZQxlz2p lYUmLATWO9TYRXeF8yvMGQcw9IM6ITUnb3wi737f4jmvncUxbspMBedOhamFxxC84sKGqv8NSZQ4 R0Pw2RQiG4JA07ai6zVtwTiYI60avpcnd9/+05WoYML+mC1X3COXN3M3iW4R8+QqmFGZ04GCQyzO nCy1KlihZU6WEKugpRivgBMF7j2qRW6dX2rrZhqDpPB1YYd+5k7GCFJLwgiuqdO2214+bg6Yz8Oc Hrd3zXUc16MZ5zp6fier4pp58yJZ6ayvBs6j/PzzxcchFIJj51TCwKnI7FNMAxRRLtXcg9Lrm4L7 QUtGbmA3IlL6w8gWZ/42pEz6M8hpzIiiPmVOJfcHla/ANHiwK9DDQRwByRHE78uxhYQ1WLqHxE1S QMC2+bOQac7nbAAGp0kl8ddCfCafPn3xV95AZ8NhaviXj6MbrvAI/Prs1OOHJtwPYGVpV5ANWVoV sS2RNvTcA4MOlSkbUK/otfZ1g7GvqiwiocqHxl5jjOGxuvXDqdub4konoVoR5q94/Pvjx/P+YJW2 bGuK5Thzgi6DwDawcZGD02wAUrQFc7takHKFOZxugQQuOXENFYJqGoko6N2aBuBq/w2pVbisSIks c58lwkbvBlgEgypYhyv5GlQRYrzxgXVkaBLfRdyX/0eGVZc5HSxPXI6vTl2qPMzLZC7BO2KIzSUb ANybGHY/Rw6gEItGAux3c8yoj3dGaaWqQqVKRDkH5AigEcldCOMrf2ilYKOdlUSysXK0X5npxTYs yyTStaY+gfRwNZuHC6Y2YQR/vUkkU3fHtVLH25eH77v1Zr+dII/oGf4jA0oO8rJ2VQ4A+m7XULDW dZmREb0KOiOEu45HM2o8hw0iIOcxqT8vPfiSCS1dxpHDRH5/fjlM7p53h/3zI4Rxk/v9w59uTR7X FzLsFRHLwRSusTJ8XRfrcBaCbbWJH9M3ERHhTQ9WanCboUME7aJnojvQQMmoHzX0ML0TaB2CSMPI mZYeTuOBwLKERW9AiBo1uhatL3/yFrmNK4bpAuwf3d3/eH7YHZxcAXW3iHVRNdjo5a+Hw93v4W13 rcUaL6OqKFV0qBLN6U6y3Rxe9zpb0WAQvcl2v98cNpO/nvd/bPbPr7v7l8mfD5vJ4fftZPN4gHab A/T3Mvm23zxtkcq70F1TAQFDldefz2cXZ19sd+tiPx3FTk9n49izL9NP56PYi/PTTx/HsdPz89NR 7PTjpyOjml5MbWxEVgzALfr8/MLu18denE2nx7Afj2A/TT/ORrEXp2dnVr9oUuqEZEsuOpKz09OL Nym+eBRXcQLbcNqRnJ7OBss6XeoauheaIeZs1qBGimdIM5u+TbMi5qb8xZdgnGeTTD/7w2swl9PP bq1wDv+CmrFg8GgSwDyy52RgMg+Z/ELoKyyXs+5KduuSANyPCK8xWV94+aC5RdVdtMLasDlXN5ee kKhmVkitS2f6hAjpTFkbQgiLLV4ca1H6QLhOmEC7DGbMPt7hWPuBlPHWK+H3GW4xEpM1BCueVYUi InSnpKGxDHLTSFcfnVDgFiUvVKq9rc8/nnqkFy6pxyXM5hLYuDubCrzyOJabNyfWIJU6MgtUX83a maM2vMGf+ax01QnwTVQ3iu6jaDcDzGjUHuXVXgd9BbtMCnwD4kjH2juGb6d9I/v5NRezEj9r1MdX +tyizEHSUyJCh4wRgSWsTZ3DOaA4Oup+yhDCVySE8URY35ApISIOXdJpOin1/WsV6oZeK0FzGkKt 4K+8u9h3hGLYqVcVdcBGV51mBa/nnCtncs3QmeQZ8Q8xNL+mhXkNgTxDBqrMmIL8xZQA0fRMPf5z lF2nXGgApmAYuaXEECxw8/3IW6w5qLV9Jo1PXtoSWQ9dSmsh2uqd3oscT/eA8+X09MssrJbNxBLC ssq9qOBiQoeHRw/tQtiaZGty4zi1IFlubvWMHw+hUkkIIUt9mfQdY9OGRyuZ3XmUUUh9ERrsKhEc ugl3EGmn03MCrzKekXbY4OkZYtHbyMtPfZPbkvNwBnE7r8J1/Fs5eguoPRXSL6AgZQUlJm4hWt+T wLVvj3sDXBKBz5ZWg0PuxrXq++QhtTLn7pbEE0GwbO7waGD+aXHoIhzeq7HUTF+9ca88XNMCywan DqT/MKdOeC0b3TQXWEizT2IhyFl9fuvip4mEIB1Qai5OYQLFIB0Akj8//3Y22ezvfn84bO8gKdg8 Tr712YHDCtwMSeK5fdOteX7pmDMDzCCkMeXucElZR2lp9yLIjOT8nSOpCB/2WOY0lKgZZHt6ph0U JOpi4Shad/KuzxYH6zR/hq/nH1g3f3EL58hblzJAPlAq8eRT8YiHjkibwyn3aVpzYKV3PNAGT4Gw /tOvOUAsa6qvK+khVS+QDP7Y3G0nXx92m/3Pib6/d7DWDk9Wc4U3DTwfoIIo+PDvhumHhCjJ/WX8 LKlTSkBAQ9vcsJWRYKUb/ulwhlfhm2JNs5zJkK3AQbja5J+Gtc/rOrjJop//gqz5abPbfN8+bXf2 hrbtzP0Di5EBWKcp7fjZnIoC36VieRdvNMgh0vWiOexjbJ3o9deqEZVRWrrECGnemPZGKNeVQo0L B+k5uJ4l1W+tQvF57nEbLfjmNS/dATm3xOC7O8j3i+Lrq6bG29/KGAS8w/aBJfApuC23eEnSsUT6 gKdbeLz4LNkwCLdJjNwO8gGz5Vb79mVVI0F5J0Ft+QRx7P5x20sSDq956eVB+gg3FmxlThKdFFUT LfgKjFQch19a2FQ5LaxcM1YGo58xd6/CsLzTjnES+9VCwCJL/2GaXg2MyWXfITg9GHk8sI/IPNlv //O63d39nLzcbR6dl2bYHlToyp8qwvRQRyap8a2lwcmOvQYI0h49jgg2wRuK+j3H+5vwIoZQpQh7 4GALwEE3K305/v2tdAZbKRb0K22D9yzR31iav7Ek71+Kv7cEo1PvxO6bL3bDcjiQmfVUjjo2MF1G junKiWp0oQiSLYVCb0g9vDmirslKWgR2YBAiORKCYwsYzDxraUeplkws15zHbxK2RegQoUUmMXwJ TlKfA5yfHkGenU/Hpm/wn2fHejc9o6dueFh19Csu2NWRxoX9dAwfTUH01RwWa+EotgesUqNEDBw9 CPSSeuE9QmpYsJA7rArm3KfD7wFtnzJmId97nQjH++K3Vq8gD42V1RzvhrPoZpzGJOxhNTJM8H6+ VF4c3tHgyi1pqJjHnBVmpfFczbvpPjEru9tNtYCALuixgKgsSocZfNdxGg2BWAgpvR4QLogIxzx6 70t2DLnAsJXm1XVYjrALVRUFzWwBxBnrGQUZyxssqvAlGyliG7YrFT67RGwVt72OkiS8Oobrxx0e A+5gTUZu6iKOyvCqMTN6jJ/H8Vq6hhOwSbpFHbTTv4BiiiDur914FIbBGHpOqd8WtdIDqahswe4M cAdGtVhTCLJ+gwKxIFt4gz2spdg7/Hdx7BJgRxNVc/uotI0AWvzlyd3r14e7E5d7Hn/0Lo12Erya uRK9mjVKikXUJDwrJDKPK9Fq1PHIxVec/eyYdM2OitfsqHzhGHJWzsaxLAs/3DW8R2TTozoqvLOg oD6NkgREfeaL6lNwnBqvt6V50zp41+VO3TMqNkoyNdhwgNUzERI7jS5iSLN1xVndlNQ1vKvQGrn4 MRPVIt9k0OVD+n3PiCHThOPG2MyTLmZ1tn6rP02W5iR8Qwh2Rd9yGUPiLxxhwTAnInTDDy1CqUBZ MwLpY+JcdG5bl+mNLiKCY87LcAURSP1HQB2osyNWGV6weEGtVk9NfIw3XiAO+vaAB/hjP8fWc+4j KHvQDRJXhhX6GVm4ajMk1b9Y9E7ajAcXAl8AF4Wu+fa6BVD90xXmyokl7w0CeEJAH+7YYliPbaJN g5dJ7DMzBzl89+qgcZfHalwDQi0OI6NRpqxYx5EdMNkYGakRDDg5SGTo6CAJ5mxhW+rQJWokwrKJ 0ovzi7ep2MjlRYcINnHOOP6Ywtu0shhxJO5Wlu+ZgiQjB+Au1Vi86WzrsTVTrei/TRESpJ6uIMpR DfjWdRvbQjTgESnqUb2whLCNkNmDRORxCUKKI+uA6CPygOgja43oY6uMeAFpsKBjRisJ+J2BkTI/ Xydbu3p92Hx93L5M7p6fvj7stveT5ofz7KMBu/HA0ISpUHB8Sqe/w2b/fXsY70bhsYYyv7f2xnxa Wv07J/jTi0/HebYO7e1ZtA0CkznaIJbRaAr3P8qutbltW2n/FU0/vNPOnEx1syydmX4AbxJi3kxQ Ep0vHDdxTzx14oztnLbn179YgBQBcBdSOpM0wj4EQVwWuwvs7gi8IzfoMfSHWgFmThUQ4uInUlSi R5HF9lw302LFANXr3VtNDhFFLu/NPHF23zPoS/b1AQ/mCSomAIr3rlfkAVn95VjJyZrLZ7FUrzLC 146ASxEeXDFLchF/uX/7+Nk80nQ4RQ2ONVFUKWmcGmcNC0pchUOg4+hUXnS6F/Ula6CDS0FMCkKX w/M8uKtpwwn2gFcqRx+A8KA/8sAla29A9yKpt9aSNN+4UNiTL8bGhx8azcs4q8bGIa54YlBCu0eg 4C/+Q+Oh4+ZejL54YnhsDiha6v3bC5iLhqdzShBBsCqY8MXoH+k7j2o7hl6yNXZYpacX1cXtyJML VMUTWvkvXgr2GMUx9O5OkPogAr+pgfdeCr/dF0QMOQR88V7YwWOW4m4KKDj8ASYMsvzF2Jo6YSDA ynJ4+QMV5dKNoC/dkTu0FOUuxe4Xc8JqBDevKdLBaov2sS7/fYHVJQHrbsWUVWppKXCGoqxJprYC 0Qv10cIS/zBZLzhde+hgInEOU2ziqEVVDN6E43KlvGGFGRNSSKwYXGMff4PSKD3KONBdS8LQ4xLA y5NCZo5FnvTyE2GVNiDURmdiqlLPkbPAukatyApxMslZpSdZFzp2/BkdWdzlI3nVwlm6v/XoMAJk 7R4twWnkWCB3OiHfpvR7OmmS0OItqH9Ueim7psy7aq6yo4cq4nAPESg8ELk0xiaBbmH/d/WjS3tF L+0VubTxc49haa/wtTss09XIWDoq7NbuuNBeuytzfq3oxbe6YPUZmHjPVziDsmDQi+dRoHOdRxFS ooWBD9bXws5jsws+8wwHMZHUDrMyZv4OZzMrnM+srDU8ZjQm3ctpVtQiX/kX3IpacTbCYWJmsygu ZmLykrhF2p2KJG0ceM+WaOULtn5KTqoiIgYPJ5zPWY2Lcq7a0BWLuhx6ZSuZ0vArM3/oz3R/t3yb ycZDCBU7HLumHlKWdzNmHPFMHWsL5hwDQRHSTFXTejqf3Q5NGMra7aEybM0GIdOE0xsiyfpjbItJ 09Ace/mTEtOIcF01S3Elp5lf4QPCygAllLsiJyTBVVocS0ZsXnEcw0dfERIZLD83Qs7QLyHm+x/l AuJSF5CfxOzFQE4ypuINoZUVZZwftHcwSj/oLYgUr9VhBHkfIiuJeyg6pDX+yp0gtb7Oj9mjurXp AlgEiPEU6raq6RfkocCO0iszmHyVqPQE5i2UpsRCp6uz34rjcRwMjDalE0bjtoJQ/OKutaMWB7fm jzJp33Pn9luSQuoTlRLHvgA3eXt4fXNCuamm3tROOodhTFgmWS71JajvbGCw8ACi7saRPTHllyVg J8RZtXwijzEuKCk7HlkO9lCEz7MArPF4JWlsh7uXRd5gtUGNOURpZ5Cn7w9vz89vnyefHv77+PEB c8SHNoY8qPcC5yQ9XTi9bJH3rLJ7tSuTLa/0hVWnPkXc4VzGQOTFDcctFgYoCAnznoFh9W6BmUwN iB1N3CAsjrzCVXMDBAHjcKnNaik5qXrIbXj2e9l21eAbiAHKqoOvORD6arrw1RKUbDb1AhL/lDns iGgogad1TAppTUWJJUl7Q/SgqKuYZUgwvY4OQ5haIZfDZAs73czSbFJVpLJvZY5j68BVugeBj8dp AZ7sR1blUjhBPRIHtL4g5zDkgTxawmOQSlUHoTyreBthm+0JGVYRM/Lmjas6xg3OTlIeKARSe8bC vsucEuV4XRnXAU+EKgTXWRie1E9td1ZDUchhh4ldJvTks+t9Z+/k89OXx6+vby8PT+3nt5+Qd2ex LQq4dJdVnwi+0TRrF72bKGVWtGtULjS+BomaqRMM5ZCpvN+nQ11HLksxGSK54alxH1D/7j/OLuR5 ubfGqSvflujuALv3prS3/005BHq0tnlJaIhtviN73IIZxw8Yw7iEQwmcUeUJEXxLMCkhkubYlic4 DbvS14vBEOCic5ruNaWqkM1zMi0o9SU+uLdtTgN9pyJwdAhHG4oHcauLKqU2fdSNimWBEZNDeUC0 bBf8ZmY1fPzYPTspXLeEvc6E4CaNtIolN653v/306+vvj19//fz89u3p+5CZUX5BnZXmdbW+pM26 CBwn1g53dtLCisJU6RclvMok84111inDK/moouhaYSZ7KM+70MCG/2gj1+AJYXm9nmrSQeG7L0s6 V0pkiMBv/KiCwBren4buCMtY+9PhSpQGxIeKMAJoAOxQXTVyM8gKwjtJwZi4y8MerFIJYDr8nWh3 d/LbDlzYLumnvHTlvkt4hO1zJgocP52kiFJba61AgnIHsyJR6N8tN7OGdWXCTANwKsvGhVlmpjPp azQzE0IoZxU3JIIMYYmtkQIxifNQc2Ssk1QkaBWtoFtff9x/f9IBzh7/8/35++vky8OX55d/Jvcv D/eT18f/Pfzb8O2Cd4PfdqZuFBg5dU8UAQlXNdUJiHAiQ4AAOfMZcdZrV8WJfCMWCN0TVCAFSEQA tyV+W7ujrCNkFlLzK7Z3vxmRKbWe4Xqet2HIIUxTmeG3DDrI1d9/n4Gg+lznvLblIpAww/9chYiK Az43e1NwYO3gtCvnI7YQIHpsW4nAfKjjj/JXTl330ZBthmnpfdDQPjOKtRL60KGt/m07sav3oakO stoOAl5HarUTMoekykkPDkvKr5tGGWGpPSiWiDHCoBeJJrstZNX1+DknOPW3+5dXvV2dggVMMn1r USX2qV/uv74+qYOMSXr/j7WzwTuC9EayKTMVkSos7Dj6CXEyk1METlKqJCKrEyKJcBlDZORDqgeL ku5+N5CKRTz57UOMIuZejtKJJVn2a1VkvyZP96+fJx8/P37DLANqOiS4Dge093EUh9R+AgBgvwHL b1qVA7Cd2UPiUOde6tKdSQ59TbbSbQR+YIUg7TN2u09a7nyMKpu7jVSluJHjRKZbXjFc11U0In+T WmSBcG5XqFHN7r99M5yOIeiGHvr7j5Jjj0e+AD7ZQK+Urm5rAZXloz1AqhVcpFGTMmW18z3qheLh 6Y93sH/eq9vJEuoxVamKsvDqaka+B3JOJSnD1TYY4/lVuZ6OJlO4K+eLm/kVPTmEqOdX9HIVqW+0 yp2PKv/4yIp1zaFn3M6LHl//fFd8fRfCKI6EfbtfinCLXVIAWg6Jl+IwdHulL5esCgtu0kPIxwLC dK/6K+t8YnxtimJImIXWr0mtE3CXQEU1Woers44RhWIJcH0V1As/VopFBf29ujlc3BQ5RGE9g5OD RXMNBQkZoYKeEGXDFn//7cfAX1Ie8oNAvsqpYAnD67oIt35UIlKpPOMb4gmkJDA/BMIUX03P9BGI f35EVuPHbWoDzmP3q9WiSssoqib/p/8/n5Rh1gv9BMfSD+CzVKo2wDZH/Khez6QsnFOCX/+csgUs lZefFBItaQsQ0Nu3exaJEu9OwEBPtsIzJPsAW2JRbehphZVhVMp+Ut6t3fOKgSr5c11budFkoQ6n hpLgirlluh3K7IDestzS9uTv3PS6lr+zyFQRQUx1KlBxyJ1KIIhjdQBxKs6cL5WKd4UnrYWX7+3I dlIyc2+l9hQz5ICKN9CZ+5SF8BQoonx5fnv++PxkxofIyy52ea8O6RQ01llGl5Um36cp/MCt8h0I gkILAXOQl4s5ddDQgSMWblZ4wNMess+I8NU9ICyO9F7Qg1Kd7QUpVZEZddDWNVJ5dVfWReqkZxl/ RxVgp5ynjgsi61ivKxY3/ixAosGFu55O7fphJMU7OPUMowMRMK9mauq1cY1JOhCzT6tBOvBibO/S BhmMWHGOfbu20QLOfHQoVdmW/J8X+LunEg0a5eKQxTrV55fROEiSdV4DUIJ3KZq+dzMWhR9fP2Km Cik3C8lH25SLRXqYzonOj67mV00blQVuCYj2WXYHTAS3Le9YXlPZV7eQBCHE97WaJ5nqF1w9DcVm MRfLKS4bx3mYFmJfgc2nGtnwTrBd2fIUF4qUMSUseA4ma7xfykhs1tM5o2J8iHS+mU5xr1tNnOO8 pB+XWoKurvyYYDe7vvZDVEM3xOHmLgtXiyv84k4kZqs1Tqo5MMPrqxlO3ouguyMid2W2Wa7xFsL2 JwdHis/lorMHYSaqysyccbIfQQaXxLIfmaH6W/ICQTh3dyW1JuK4BC1zyDUzTCZFkUxovkRaN1Cv zLXaFafxlhH+EB0iY81qfY3fd+ogm0XY4KraCdA0Sy9CqvjterMrY4FPgzC4nk1Hy031Qv3w9/3r hMPJ4fcvKt/06+f7F6m9voFlCjpr8iS12cknyWUev8E/zc6rIUqmd3oC9wFD+OjFDK7y3k+Scssm fzy+fPkL8oV8ev7r69Pzfe/Za1le4dIcgwOUchyRjH99e3iaZDxUdlutNvY2NxHyBCk+yF10XDpU tINsHxQxvH/5hL2GxD9/e3kGw8Tzy0S83b89GNEMJz+Hhch+MZTdU/tO1Z16YRvnx1ucacbhjrg5 1KSj8KoWkSX7/kSFMtQBzDl47L5a7pudkWOUyEmlMMwKa7uuGI9akItRc3VopiFRj0e21KnKfA78 +p2nIH40RmUrQa4ZqS/qPmXy9s+3h8nPcu7/+a/J2/23h39NwuidXHG/GNFde/nI+sxwV+lSgkt1 5EJQ96D6WolUvn31xAFyTyaMFqoD5L/hNJIwjCtIWmy31GG+AogQbj3CkRzej3XPRGzJRD1a8vE8 sCFJeA7B1d++6dQKJjTAmVhQLme0lc7NeIAhpSo/jRMaVhOr0t+ItDimcMHGCvOjKDV1BVpR1RmH 3AqJ2xd6HJttsNB4P2h5DhTkzdyDCeK5h9hN2MWxbeR/ap3Tb9qVAr8Zpqiyjk1DKGs9QI4HTWch qzxvZyz0N4/x8NrbAABszgA2S1Qj0N/P9ZRyJllf3CnyDlM7eL85O+wzz9iq6EVyJnkQcPSIsxtF h8yHc8IoLuUgxdjz+Ehdbj1hPELTCeP/0rJenAPMvQCRsaoubz3dtU/ELvROYKk54isXFFLNvjpt 1dOOnBPnaXrraxazzczzfLKvQQvSgZo9XJLY1DUxh/M1L53NiDww+iPq2LMQxF12tQjXkiPgukTX QM+8u5W7EA/b2ZxQMzoQO8fdonCxucJtyHr+Q0M317i+qhDH6Hq28XwrfaNLSxzZGbZTZuspofIq urZX+LZrvctI9pGFxFVj3VCPWFCISM8Jhh/Vq8tZJdhsxnng9LZpGXZyLWVEDI2EBwgpdgaFiCHt VVFZdY0SGQoo/FAWEVaXIpZDbtHwlLLtdfLX49tnif/6TiTJRGdUmzxK6fzlj/uPRvhwVQXbmVbU U5H5ucMXAgHOFLBvA1oYH9joAcdSb5G6bLf2A/QhgiJTeQMV0c3KCmUqxu+oY/WrdD5cfH4ASs6N cLaaE8tAj5ocbFUbNUqCp/OlPdRyYPqBgzH66A7ex++vb89fJlIdsAZusA5EUlhUVKpZt6ImznR1 mxpM/wdKkEXDNSnA4i1UMEtjhfnIuaenoiPB/oGY4Y41ipZ7aGARcJLkmOQuj6Tz8Zy48aGJxPah iAfcC1ER9ynBj9W6pziUJtaxQDKClJd3v+JRjGiBJmY4M9bEqiY2eE2u5ch66eV6dY2PvQKEWbRa +uh3yhBGA6SCi09nRZUCymKFG41OdF/zgN7McaFiAODmT0Xn9Xo+O0f3NOB9xsOKCMeqAFKGO1DW WwXI45o072oAz98zIvqEBoj19XKGW+8UoEgjcoVrgJQTKa6kN9EonE/nvpEAzlYQB/YKAD5jlGSv AcStLUWkbASaCEeFFYRP9VQvmceKkM1KH/9QxLoQOx54OqiueJISEmbp4yOKeOR5UCAH3yUv3j1/ ffrH5SUjBqKW6dS9m+HMRP8c0LPI00EwSRB2TQhZ+pEElUf0cH9wkzNat+D/uH96+v3+45+TXydP D/+5/4ie9Ze9+IVLHZLY3Z6lv8qn5+Gz+RTCkDgWSvbCCdCszaxxHE9mi81y8nPy+PJwlH9+wSz9 Ca9i0vutJ0qBVWAn4Dq2LZw1GXfluCEo5l3LrbNqOfUo+5k6WEMp8e1eblsf6LBM5CmhCsqHpk3O WAhO4Jaz06FmloPnoUkJT2oJFjH5TvkvUdAOJuBRSzYXiGCJrCv5D9TZrd4b2ZycFktae1AdXxVC 4E6oh7jeGS7y+sg3t7NQ5GlG7DSsct3j9YwCD53hhOSTbbqPHl/fXh5///728GkidP5oNuRXexhn SpFNBCcOx7X4EOdRUbULnbJ8GKaiojTu+q7cFejVA6M+FrGyjq0Lcl0RHK5UCUeTOpoVbGN7msf1 bDFDT7+Nh1IWVlKoC3eW8JnysBCY2dR6NJVsPLf9G6RKtORt7ARdwx6uYzvtJwtjyuzSnTHVqPRs VpqxD2aSMYtknQPIn+vZbOZebRg4JUwv9HKufFLqbkHs1KbKOg+pkPr2XuezlppO9H7A3mW2XzKf XCr/+MdV1rSB3j/lYj9TLczwwk5bXae46CUJuBEECETyT0mhhhRfKmbb9lWB6s+Ks7AotnOtsjCw f6mLa7ujCiTuOFAGxKVO4+1BVbDIWeLBknAmDzMYROLIKG/w/gyp6V7zbZHjIjpUhq3oYCu/yri7 BD9RSUQ7h5BxC2X9RKhko1+g761uyalR6p7RidotX5fdPgd/N9kFLRG11YQczkOCLcF7DUxFYFJ+ u+dUgIee6DQC+cpdnArb47Qramt84ZzI+GCfyPisG8hnW8ZFaLWL5LQRHnTGqCuytygl2+zTc3wm 6jxJhxelc+KgWA4X5HPw1xdne6l8WJMwnp9te/wBOKLVEaqkzUsBAZ3kDgquaK27lpGaGsdaMydm z6HZnvkUSKYpQmZnG4RbtUlGiH1ALG/VNVOS3igOQEK2nOWOnWLcMjj2AkHAzs7Nm6tdNG+3VFxV dViWuBKAQS6nS+JK4S4XzuXZnZlJE8iRYIldEjtCoyzDnBDM77KmwK50jlGQB/bsGHN061WOKdaM og5lYlf7M8uNjYxvA+uH3MIyU6iRRQfrLjSXogf6RiAQF/mAQjBVvpwSD0kC8UySzaZU/pe+o9bz q8Zase+zMyujsyQZu/rBnh0ZKBnM/F2Wln9U2bDZak1KeeIGXZzi5s725pS/PYdIZou7FINnvkt+ FMsLqzOytJGrglDzgEZq35J65aWKo5ecHM+0loeVPcVvxHq9xGUaIBGeU5ok34hrnTfig6y1OS+Y KfvjiI/n4Xz9nrglLonNfCmpZ5Z5dlfZjkDy92xKOEEnMUvzM8pVzqTKkll1dkX4RBLrxXp+ppHy n1WRF5mTwebM/rtebKb2tj2/Od/V+UEKPtY5mcrLHeHc23iwuLE+WuLRNPfK0qAzTcb5ltu60U5q c3KY0Z66iyEAQsLPqNT6iNqs9DZlC+oGyW1KSuS3KR32HO4VkM9RyTBOLdyzFPwSrDaG7FpuCS3l UdPTIQQTUrt2SAd1wLDIVNlZkQaCa0vWZbZkPVtsiHtQQKoLXLio1rPV5tzL8ljfsxm47I6QCip2 CNC9t4qssa1W0+WZxQNKsZNFrCcJlknR07rZLJROf3ayi9jMBWsSOJj2rPtCm/l0gUU9sp6yu4WL DXXNg4vZ5swXiyJlVSL/WGuL8sWS5RB2JDxnqxKZMLRNkYWbmbWbxSUPcakKntzMbHRf1qUkLwri VEPhlucYpKjVDmE0r85AFrbsjV3ZSUM2lkp0BEp0DNvbQhCjrzGdqX2oVRfz8nY9XTVucRaLIncL eyuNW65uFiCFa242tf+Kc3xc7G0RnpXlXSaXO6WAbQlvqhAiNebE5sWxoFFGI+p4t6+tbUGXnHnK fgLyI0t5hhFm7TpFozEa9R3s/Uz+bKsdJ1KcARXCr4V4vF6j2iP/4KghuqQ9XlH6wAmwOCeXiLu8 KMWdxRZgfjYpqYQlUYQPk5xrxLaiIowGhJICcncXmMcQt6FQhxkZZCZVFmZwd6wgHD57yD7nuJ1Y I3gdMDMYb/+6Nts3eOnw4nGTOgQRQ8zCQIifKt6O6qB9uYF6Ru9VmCIEqzdNV9ZzmtzZsqj2O1eK yt1dyo2dUxxliflRaRzBMe52CyGbdtYM1x5snE+gnA6WAIZv58mB1lmsXUBPrtfTRQNEy+sxzOCG L1mppK+vffTOaksCQh6yaNSmgVxUNc9pesTkEvBUH5VShF+u/fTVNdEnCW9i1aGWeh+WqZyYVI06 MkZzZHckJIVbwvVsOpuFNKapiUZ1Wrg7Un2xVJCoB2HDa7dN/2hfrPRJ9ytPWh3ZQoUA3YlE5CpR MEtJwC32eC89avHXbmu/PbutBUmEfIuo49mUuIME51iS0fKQHtDuihVJb3jK8waCQPF5BX+TvSV7 WSrdm80VddGlxBspcHMuuBeqyIHKJcni+kAKWY1zPiDesCMuSQGxjLdM7MXQ7VBY1en/M/ZlzY3j zJZ/xU8TX8fcnuYiUtRE9ANFUhLL3IqgJNovDLfL3e24LrvCVTW3+98PEuACkJmgH2oRziH2JQEk MgPbs7BAR+2HEMxX/W2AavUDyv8USaNHBOUI2yCwty0F7Dp7G4RLNIojcS88z0SPdUmCXfSrjCLK sY/lKePAIKtyiCXfp6aE4nznWzaWDqt3W3SRVwiBZS1LDr1+C4d4KLKTyCK5Y+Y7FnZBNBAKmJsC JD2Y9/bL4Dxi28C1sLRq8N4t3gOtNAE775k4dQBHCGgb95R5KmDqJfd8QjtNMApni+5RANwn2W2q HOaKD+qcj+hzOx9QScXnTycI8Pf9YlRFDr4BHMpxH57rM0N7ahs4rm2RR6MD7zbMckKRa6B85nPq 9UrcVQDpxHCxaYiAL2Ge3eKnhsBJq5MpmyxN6lqoFZKUS+YTUvhYHye+Nceq8ir38MqvSWEjn52X 8JAAt2qsfddouhb8p+FwmaMeflEmEFIBjqM78rvdbXciJusorLOdTbxt55/6t8S7/NrzCF/X15TP AISeHY9xdnMwfRYVro9O6npl5vrhtAgg0tr6kWe13cykOBIrfvlPXMlv3KVK3SiORjnf4maaiAvv ufB9D0AHeXI3C+k9Tu+jWL3lH0AW69fOI0AaTx+jjVLC6jxnGI1GAyHeY5YD1Iocbp4RaHFzllZX h9osA+ZQ2DXb7HxcG5hj7m5DYtf0gJ0/zLNZs1TLKSwwhHFELhjkhN2LytsgNmgmuE5Z7mGPHdTs THdik+ie7pO6Id7VDSDfO6YFGB/GpUWoCEJ5Lb9mAXahpeWqv/fSJHo+3CwbOxRSv6zDuWZA3Tgt ORMbDquFbEjoO0tsi4n9TQZzXqwtkoK+cyJ8aPQo8XC/Rwm7/oBuHTc0osSlrSxEQHh37tM1oHxp MqQL5cWt4gLK9+SrLcm0ozr+s9uh2ofqR0x3HHC16UUYPxG8ZrZDXDgCRKwfdqBKsdestwSkfAoh 8xuYGQiT7hRHKpwBDQfKwkYkPu/d38XhYvN0H/OS48UAyLZr7JZWjVactiRFoR1vfm4KOc2D5TN6 sp88LFwpS326hH2dnbNKWy6v4NH75voM1p7/07vbAWOgb9Kw+y83P944++nmx98DCzlSuqInuOKS Tah6k8amehgxNjVtrfMW1DrxE9Pzp7Rh545yi8ZiwmvAZWlwNH399vMHaX5jcG+g/lx4eZChhwOY g8sSVBVXUkBTG0yxfZ1/y4SfktuZS0uNkodNnba30kb6aAj55eH1y/SYT2uc/rPyzBLKwZSkfCrv ZgQNTi4z63FD8EwMVmqT8jMgv7xN7vYln8anah1CuFCu3YQq4ZXnEZurGQm7zJwoze1e64wj8pnv awlJWuE4NqG2MHLi3s9Y7Qe4JDMys9tb1MbcSIAjbDSvAIi+RPhdG4lNFPobwsCxSgo29krdyt63 UqA8cIlthcZxVzh8stm63m6FFOFjfyJUNZ+LzZwiuTaEhDdVz/xh8JICrulgmVnJUX9rvUJqymt4 DfHjxIl1Lm4JY3oT5wT/Z/jWUY1pk3ZZHRLv26ZC8pkH122dqip3uqY8RyceYma2zUrfh+PjTtde nbCwsm1CL2Qk7dH35MqcqNxKwc+uYg4S1IWZ6lBvCt/fxVgwKLHwf6sKA9ldEVZwnmwEO5Zr7gAm Sv+cFYOEY15h1k0T60c8yUDioOwvT5lIYKOXErdiU2qikVPU99JIOpQRyP3iscoyoXx+FykgltQp cdUtCWFVZYlI3kDibe9RRigkI7oLK3xQSxyqa25xbUa5MC5nh6ZI6CtIWdaxwc0JTTzqhGBcxsF1 PX5AIynClSzhrFcSoGZZVCcJJtj1oydl0VIcCOOtTTzF7glw1gNjl249SdznoU2YdOwlD7e1uv25 aVDNl17SyoPdxu6qa81nhGVuOQw3l5d0X89NdMzlp5yvjsbsHCsH7wUDDLfVSVJRnpQnVpNmjWld V6hxEpWkp+e+vlPhCKhJCJ+zgyzGZc+iZ5qIbfMJX5IH0faa1FxKMMVxl4SkzTnJiHLbMqVSJ8dz Bi0GejENMU/15W8rx2r5bsqU3ln8YypWdAg8YirpGdd8vXmBJDqbqWy3geX1PXat+euyCes7UJZd 6wVxm7nGcZnmYCoLP00YGiV0cU0TicOGji/n1H6v3+EIf08wZruwrgn5RlLj+uL4vOlkExNbvInp ex9mbjGmxhOKIaIvz+aNOk+Xet1iy3N6eP8iDG+mv5U3g52+/itYzzQZXgTA34Tdb4mDL7ZbXRdZ AlUE0gX5XZbupRgz+4xyc96nJl9sziKep8ycnLQFKaOpo5U4wmpvJkhh1MyRmx+CchYcFDqGeYKa tY3+fnh/eOQ7aMUAdP9N09xNwstFOQeI5HNtELsKlglVBtWBUzMQsLCOZXy6UN7FXFH2FNztU/EE XrmJLNJ2F3RVc6ekKi82yMDeJLrt6xUaZpR5qenUpLwvKS347sjwMyjhMa1juNdCPlVIy/m9y5f3 54eX5YvuPnvCEUCkvqrpgcDxLDSQx88F5YgvRrGwC6E1jsqTVvbn9SGgA9wlYHlXSYt20zKRh0Sq mm0sBegfqiFIUQsNcvb7BkNr3rBpnpgoSQvTchJTxc3DAvx2Uy6+VGrIqoRX7IVQaVepwrNe7z0B jStO+AahIU2ja4VkmF6CygAXxoHrharGodakLCNa6krlr26cIEAtUKp11/jedotHPTh6I+u9bA3F 0i2USM/ob6+/wpecLUaNsJ2AGOroY4CVhMdh2ah+94xjL8owQUpfn6cxDFDhkg+0tgidjp4udavn KUkFNGpATQr/aLjs+d3GjC9GxoBSqYqjH6TAedi6pDlHlUKYLZMUyFOWNuijtj5/p44hc4UMnuYE 28YJdIv1hKHhTLnsqTP7SzqnN9myDDRk4RPDzmeG2mP5soMID1FkiaKoINT4Robtp2xLGZzt+7sU hT414XE+vRHUNVp6aP3WN4y+XkWwYiKqRbF12FADXPwy5aOuaKGKw/AMOavWCsN/8TWq4OJ0ekyj MqNsAfY1XqH2Kof2BCuNeJklRI3KPGrqbDgc1yFxp3ReLvbC8Qt8xQW63gH6IHxdBke4epjm8QcC +CZnEYBud0SMqFWR3m4O0oRplad8a1LEuPkeLgpyOTMuNU3EMbCDtZ9LvTmqyzjR+uVxugadIKGG 39XF0VFVCScczn7xtJfmVBcU2FJhkcIgR4KlYjzG19/kTEBvsQL7pLnVVAXcnY9v5eFYMZ15B5M2 zqQV2EdkjzBFG15NDpxPFXHk1kT8T4U1Gu+vfTcdyXweyO5mDmrljZsTIdeWqtdkMEEGIVwWrpNj qr1P56HivDwtDqUeDO4ew2YWxuU5eRmoBMoXHvIRws+XH8/fXp7+4RUF+RJ+CBHhBD4L673cy/FI sywpiEebfQr0YepE4H8bGVkTbVwLvw0bOFUU7rwNphWoM/7Rhu8ApQXMMsYEeAuQeJx8NJY8a6Mq w2ZXYPQ+ycHrtt5UYXYs95M7eGii8fQC/HhMTdV3/huWQ/jf4MdjsvCHqQLI6FPbcwkFrgH3CXc/ A07YwxR4Hm8Jj5w9DHaiSLy3hkHiaUBodQiQsvEIINguJM4IOVqIh9h0uixlnrejq43jvkucQEt4 59M9nzLt2GN85l9MKcJmIdHGLNKPAqY56N/vP56+3vwBPr97h7L/+cr7zcu/N09f/3j68uXpy81v PetXvokBT7O/aDPWcoXqA8dnYmqwdPI9H4a9qSmyxBG8GyPelckhyNJjcQ3rZCbVzkDMXNOMwrLw QmdEjYtQCwZakieotTGBtXdFybx5FgylS/N2Nnf3ezF9guH7WVQXS4AXf9PqtkFEH+ciQpwSR+2w 9ND342IARSHqMFSltOE8UR5krDzAF62g4J/P1TzKOk0x0U1At+6s9vjeKOfz6UyWE0MybwhbjwLG BWOAhi3nPKjbV/kis8PhAhHX6GT+MP8QngSFTUo8zBWJyteL9LQi9yU0nFU7sg/15rOlIto/XKp6 fXiBOeQ3udo8fHn49oNeZeK0hNvZM3FpKhpe+tXssvR4Im53IBvlvmwO5/v7rmQpYV8HqiIEVYQL fswpCGlxN7+bFZkuf/wtBaG+YMrcqE98vbYD2OIsZnrWUJfC6CDL0nw2WSuc+9bZ+dtFP2zOmPa8 gGBcLPiZsIko/bzRMxd4IqX9Do4UkDZWKDOBdti1zTwWVIhbCAWTPu3H02S+duUP36EDTd4LMC/Y wnmS2MTjm1iA6xweoLpb6rAHOK30wySNohBZXKxsSiCcV87Du89IHfSPrMmcmNY+WYfDkkNSSCl7 8B5s8hwM+Ny1sNpM4oSP/y+K9PKOwEFT/hPQYinS4FIOPiLBstb2OhBUZZbjzOuVLxOUW9sJJgw3 AGG0CzGLt6brQq48SgBzI1hX51GwyA649GcRZzfA4GsQS0t8+uoJJ1Or0c/Ye9SnUbE02Tbh7mUg OFbHDlnICLteKo12SQcs05oEhBZebNAovWIJOCOODzl2f1d8zqvu+HlWkeOEM/hh7mce9RKrEtPD TOsXQsEHMShA0344RaGzxHdaevqh5BtW5erJMRwwwQkq/1dsvbUTK4ZaTq80/Sz+czkJy11ixW4e X56l38vlXh8+jLIUTDXeipMqtCgKK4tTQmlRIc0nqjEnf4GF9ocfb+/L3WxT8Xy+Pf738riEQ53t BQGPnY/lqdr08C5uklFskfrz0mzDDShhF0kDNv7hKbg4kROmbOFBlqJI//DlyzOo13NxR+Tk+/9R 8iC3/UMC1fPrzKZ+z+sN2Qz87liXZ1VFkYdrNjcUPpwcHM78M/1GFGLi/0M/6YGxCeSybTqiGPJF Ogbp8TyqHJdZAdb1Bop+UzQEK/PtDGG8vnVpfERa27MweXRMK2y3W9+xsI+FZo7h22F1X+RHnqvq R9UDVjCnPzpbpLdPaj5Vdfsj4VZjQSO8rC2JhAfqOW8ToT7ph6rq/SvNG1wKS2EVWD6JRpVtWyTq btt2CcrboGUHE6ab8LVH4wRmTlp93lg2rnWmcOZpYYztBssoz3/gE+8GVM5ujQNmAihPKko87daU UZGSjbSQAHYbCkC++BwfnBZrMWHWTqw5sN5gdSIZbC8Zhuwubn4HQJ5+UOHQo3ykLFwaqg7RMpwH dnUQbrc7ZBhPoI/OLfh2foSFeTDsO6HtFFJeTSaWR/hNmRg+j8fFDy8XrI5YgSdewHnEQ44Zi3jK MWMFLi7fLGkfzduHeCfMtPCc0tVE03D04hKPgyfWDvK92oCS1WEHNWozW5yGdtoR62oSPSEdd3aa pAXbDpKSFMSxGVqeQrVg5GOBYUouc4yLdeZpeCTyNfODTJbF+LMlLE7zvDkxW0K1ECmQjx2uIDxV sQaBHaS61fy4yJTc3GKBgb11sUaQp0M2JmuBcKJZHisPM4FFXNL1XiT1j+CWfL7xlQIieY4gIls4 Y1bBwVDjcKX49PXt/d+brw/fvj19uRHxIueC4sst30ALe3B0yobzHonncYXPVRIGnXLsgaFU8h+v JNTQ+BpW2nZLhIKqH53OoYF/cKUttZLQawhJqM1NkHMZ+oxveCVegb9ZTGCWsC4CSp3czPLtWdjc UeLQ/BH6dEM+gpgrXclQZO+v4jNzelNYx5aVbzgJkDhxFCBAOAswoFq04+WYaIynf77xjSLWc03P W3tCYWoseDBJHFFOBNQXiWw5uNJWLzfU0Ln6Zo/BswhDFS73W7P2rNLICfQOLsf7IV7W1rws/Uat v6RO16p33wTE+V5fmLQTTkOIl7KyJ8eRO/O1OJ7+rCTP5yWb2KcozYdLb5IQuW5ASBmyBCkrCbfj skPz5X5juYvMw6UFnfkrIVDC64guvGAzuMTqhKl+uJRA7NpWhclJa06C/zaUtppKBu0jc0YX+0sF yprI2XmEQKDwkNwgrEvSzh5wqujcIqgCyRmTyqREZVB5wE+CVf49NhHUyb4s4WlsrGrcyZhRTMbI zlWV3S1zJsMNtrIqMOwJVLzX9utbGEfdPmz4oo0/GIKjU0M0/addzJwtMX40Ct7hNQreFwZKlhz5 2n4hjE/1JLbHtxWgXQXmXWf47Ov9Z2erbbpnQK/7tUh1gOOmO/PK5zU3N4cxfjI8nSPrFQhB0B3O SdYdwzOhujWkzOc3ezsz906RCO9bfc2krAKSkcMjCnYW3gIDJ6uCrbM1UsiZaEoHXBDh9TOm00Su T1i8GTjyCYSwFtXaG5/QbxrY8twk3+MPgQcWb+uN7eFLnsbZ4Y2ichzPXFHA2RJKXwrHC1bS4oVy N3hSQx8RXU3OyRtzpdbNbuNhR7aDf57p8gMCukuKn6BKtL/xnjnok88xHn7wzQi2JWFJwcqawcNo l7ohmyibj1BwAXGi5LZFWLzQOXhj6Ry8G+oc/MxU4xCHUgpn5xAzw8RpeA2ucyj3wDpnLT+c41Oa 8gqHMBWjc1bqmUVcjsVUTUcGvKeJZooA49fwCsucQNNW5uLGzHfMBYmZ7a/0qdS7hXdCRs5haweW R1xSK5zAORD6DSPJc7ce9Uit5zSsSc4NLHFG3jHz7IB4vqhwHGuNs/UtQodkYpj7lNz1E2ZZB9Ip Pfk2oQg6NgYYt79SZgtHVhPgM+1A+BQRK/FA4LJBbTsrnYfvspOQEA5GjpjNzSNFcIjlQ+HwJc/c U4HjEBcoGscxF15w1vO8cYgLHZ1jzjNIBZRSs8rxLcKqpkYirrk0jm9eZoCzM/ce8fhtu1KJnOT7 7mp+fH+lJwoOYaBD43wo0yu9LI8qd22NbSLfW1vMI/IZWt8zckJNfiKsrECcsBrDSg/Ot+Ya4wRz V8lyYtOlENYySVhRUwiYpdAJ3mm2x5XwlSGe79ZytvMc19zOgkNIqjrHXMgqCrbuylwCnA2xpxk4 RQOKvUmdp4wyejNSo4ZPBOYqAM52pRNxDt95m+saODtiVzcV7xB4O+JAKp+pkS6/vuarqys7NStL A2esDH3OcP9ZY0QrcRheg4xSWZ7YW9fc2Ekezc/8MI5jr3P8K2XvdMx0zqLNNv8YaWXoSdreXZmv WXTy/LY1WWnWqCtjQ3Bc866HNQ3brsgYLM/9lZWYT/+2E8TB6n6O2dZKl+ScbeCsxrMNtiv7Ht7I wZqcX4T45ZdK0N1KKIjrrC6bhJmlkXDKo5V1vskre2WyERRzjxcUc51yymZlSABlpcjDebCZlIZ+ 4Jv3F5fGdlZkxEsDPiSMlGvgbgPbvKcEzu4jHOcDHHMzCIq5+3NKtg080miJyvIpzfmJxeeIk3mP KknJCkuc5C+OiqhXdeMYhGe6izPXniSW7VCxX9IHwAOxmicHNn768/8uTrLwrsvZ79acPPNOPQSX mornEHqtU2EvENyOVdiJ9ECMk0N4zpruWF7An1LVXVOWYDGqxEOY1tI+DFqV2Cdg3AksJRNPHLBP +ruqLCsj0s7f8B2dK4RoLCcQ4KVGRz7XUJl4sRDirDBTO0bVWekgYyJSabkHDHEn+VmasFIMHIAZ NCTK4fIVi3UkfS7r9LMh3dFR15CA+kQ/Cmtj5ILAO7xrZPX6pAhlGopp0bgbqwXF7PevmP2pvLlV 6kDe9j58/f7z9S/6m177cPaZ9M180zz99f6AfDt1C6FkxcpIfI9X7qha2SR5xXtDSBDVKzSqHj7/ fHh5fPv61ZQnqTtkrO1RWYlu82vYRKe4VPQ4h5Dhne0Y2wgU5TW8K8/YrerIkUYzOnE/KR1ExWhc C5UjUcTrw4/Hv7+8/bU0WD7NzuWhGaPBKxrO7oyMaxzyOGL8sro38GKM4D5Na3iZZySJ0+IKbEiu 0/YsNLP6t2QoaZgjIEfMjfgO10LaF0HG2OOrOXWhMmumwJGO267U2zhdGVlp3jpk88ghafxeDMnZ 90MGereK+/1UD191UAmf8t27aDFVf++VGxJWq3YIru9Dqkj9iDbEPQ5orPHCLM23fGdCVlnqu5aV sD1RJ/1riXnGwZuo5QZkrHlSdKFDpwr2eGbYoB/06x8P35++TKM9enj/og1yMKsZrQzhZvYAcFCg WY2cc/DI9Smoen/68fz16e3nj5vjG5+FXt/mvjb6qYxvGeB9UXkWIg62HwM3jSVj6T4b3yuxt9fn x+837Pnl+fHt9Wb/8Pjf314eXp+0qQ51tcXbJVSjUxssXBRHWID58+frIzxzWjqjHdryEC+mfQgL oybYbTzCqPZhsFZ/rChr9SIS5m6JzdAAE0fT8nEc6OIRFxvi+7Bxgq1FP4AWJGHs+pAlbUS8pJ5Y pywylEbYMreI42JBiHfe1s6vuIcPWau4e3eBCVWPRTtIBZCZXfIloVa1wUWjjmb7l4G6USIVmL11 Fs0QhzvLpUsNsOeQz5EVCmlcfaDgW8wBJi7uRhjfw/YwZcdcwFmBGfYAqBcisypkmqsrwPLIdkGN x1TygUO33yn1N3wu7V/n6IDntYtnO6cGjCqwNMKLCzBPbGaRaISzisOE+RzAKNM6kKFPYXHfRXkZ U7b0OeeWS8JE0gAHQZUHhHrshNPdQOA+oc0q6hs0d7wtdhHRw4unhVN4gJ85TgTimGQkBISvw54Q 7Cz85HPECX2QEScOYiccPysTeONT57gCToqDY+9zfIQm98LaFq74LOYPI3pJq6QWxs1ICl9JccPn AFbRwePjm65cIffVqAE3sVZh799EqktVYh1v2MLcwIzgWYZ8ie8pXxGCEHmNF2CvowR6G1jBIs+F 1/joAxJR1CRC13OWbrZ+a14qWe4RJ6kCvb0L+NiiJ2G4LcD3OfvWs1aWadbklQEVL+aqGvUkIwgL tVwIbdIuzF2Xz6INi0yCSla5O8PYBSVF4k1An0yWG3pvmOWEm8mmYr5tEeqBAHoWoUolQULvX2RK EAxTmiQQt+wjwbHpOQMIAaV/NVQMrzqD8NAzPOKeRsmGofqBEBB210bCjqhIhWCWUEaSab3nJL6+ Eaf7zTXbWK5hIHCCb21WRgr4Z9y6Zk6Wu55hWmoi1wt2hgqjXm6JybwNDIJaWKf3ZREaa3LgmCry mgcbg6DAYddeiFUYZSUR17PWYtntsEfcoir6WyOYfupEOXEZnaPo5wGDxxTKhNLEOKQtGHYvsyY8 JngkYO/1LC0BszNlzGOiw9m2ONr+6AewAwyIcamwYs8lpA6FVPB/MH+KCmWx+1GqK9xRjrBnJEyF U6nUsPBcz/OQdlp4+FPc2wgB3RixpFw818KiloI8HnnKsp1LCLway3e2Nr4Zn2iwihG3yzMSvoir pGDr4PODTiJmAoUk55oPsPwtvlZNLBDuPX1FwzgLCV9DA3+zlhvBIpR8dBb1IGnGIvS/FBYXzomD kolUHc73CWXsXqFdgsBazb1gUW6fddYOO7FQONcc6/X984gYxHIa10wjTeBC8J0g5uRVaJnHI3CY eOqNReDlwdbHpZqJxRdyz/bdteYFocChFMJ0mmcRhhzmNEKom9HsD+XNcwiPU8o6QtoPUjiIesRA 6vcbX5UAaaN8+t27SNOsWGVpjZr3rLsiGb9Q7M/WsFciwn00/NMFj4eVxR0OhMVdiSOnsK5QJOcL 6u0+RrE2R74R1XFJo0SrDR46eYlDG4PHN1NlUCGjQWW+gFB6WbIEpDdD/mXDBYaU8GtW0755IOLe SryWWEMYpuXNfr6UlAtYaOUkrkPCCTW0UFMnYX5PHEJAQY5lXWXno6msxzOXVCi0afinRE3w5hts yFGfSwPrdE2KizYSpJ1xAkrHij4wFXda4l0oWLb/qlwXfH368vxw8/j2jvjfll9FYQ6+NoaP/9VR Xn1ZyfcxF4oA3ioa8OeiMiaBW3DqMBYOyKq5j7AZj8X1B1gRnGovWTqnLJoanD3Wy9xMWBdfsFuZ SxonMGtcpjEugy6bjG8Wz3tweRGqNjsmWB0dMjSML4anupIjNwd5WsBKGRZH4nGNJMOTenabgKtW zNCDyGSe5A7/gxRifz44s/l9CueflBXDkDiXFZceMfSSC82ZCeIVOyQy5h7CCspdA9wAIsZxlU+5 3MXrMqwaWHZUT2sAxndFCDcbogrxyhM04QSAJcJKHx/gfKOXIfeGuRg0iL6G7EB81vhANxXNZGDx dhpNjPQuLrDVGGhja0qW2qVllxjvtC8Vfmo10IZeAZN8nVHaXpI9eHBiXtUdHcwK15L3qUrmHUTD 80NEwf3FzJFFyzHETlxgMZVsuJk/xMSrPJ32Sa8mPKqommd1gC6sspeZFPLvJSkIfXloSPGkHmlr rZOaOoW8b5YT+dOXmzyPfmNwe9Ob9da1a3LWAQj+OdHEepfXfPap87nlYmUcPLw+Pr+8PLz/O/ke +PHzlf/7X5z5+v0N/vPsPPJf357/6+bP97fXH0+vX77/Ml9oYOKsL8JzBuOzV7Rca5omVD1ay2qF ZdyJhkUt/Pnl+e3my9Pj2xeRg2/vb49P3yETwlDo1+d/ZC0Ich2zkTqEXZ6/PL0RoRDDg5aAjj+9 6qHRw9en94e+FhTvNQI8vDx8/3seKON5/sqz/f+evj69/rgBVw0jLEr3myQ9vnEWLxrc9Wskvkre iAbQg/Pn749PL6B38AZeRZ5evs0ZTLbWzU/QqeCxfn977B5lEWTLzlusOReqoKsEghX+KktwrInD wNlZBnDbkqDNUZtEd0GwxcG8cayWiLaNHMsJKMyzLCKvbbQhsTzabFhguZq09f0H70IP719u/vP9 4QdvjOcfT79MI2JsKZ36KKzd/u8bPn55e/8Az4PIR3xm+JWZ4wVKwwcnFY82y4TMtpzugC8AQDhW QcVuZ4wxnajPN5KNsGEcLfgM9fdNyHvX8+PD62+3XAJ9eL1pprz9Folyx80FiSNlsbksE0uvlP/1 wU/j57+efzy8qJXOh8TLv3Jkff+tyrJx2CTRYC14GM43f/LxLlpkIDVvby/fwRwxZzy9vH27eX36 H7ry43Oe32FVe3x/+PY3KBMthPXLMextS+sBQi46VmchEw3SlNCrA0+RtjIi1FCY85MrF9qm+OJa cfPFf3BZCuzaM019BMLjis/h7eCvCu8/QBOGHXLwWpkd5ma4Fd4tX6akUyU9eQg/7AdIzSYPBgkc Ua2ewJKvnFImtS1Lz1hWhnHHR3KMLnwKsWlmNXLkshNobGF5guxS2GX0MAoXE/0qcsO70GyWVj6R HsG2luXrWZAeUDLb32iidY8UbSVmyV2AnxEB7xRnhElj0ehhxhs9ZVwIwa0CAYnv5xJiXw9wmMdH XcAaFMNv/iPX7+itGtbtX8CTxJ/Pf/18fwC1Nr0WivJ8ScLzVAV9wFxGmqp7IIje97uHBg+vGH53 kbQ62PIL3ybzfn85ok4AAert5fZLQVQ3kT7kRwrvcjkmSU8Mb+O64oxp1q0luh0hLPKcbyPxgwOF BOryi7ZJeslGiED79+cvfz3NOmT/NTIfDAh2HaTgp1g9GdZyPRqkZD//+BXZdinkI/H2SaGkFZWT 0bj5dHY3PJeQ5xxpy4uhHF8PaBQXOBBfZ+VSEWUCnaNpUZTDl1oZzjF+KCTGFeHKQIzbYwgOJkk8 Suv6zLrPSY7tfETlwOOP+DyfVmSwLKbpy+wSM715RTDfKs2L+Lmli7gvoxOxM6oHh5jdEd29iVpg +Tz/4JgBPDOCGxvY7B/TAruoHahQTP5XVOllAUhrSSWQT0YZDjhBkYPPAgK1jCh8C2bLaYq9wSKQ Nj5ntSDXfuqWGhhVKL0j9dLR928vD//eVHw38bIYioIqGtwU17RFQD6G/p+BP0Zru7uP8BPaif0p TrussbZWnlggra/QhxOFLN5RltGUYnDeceMRF3oTj/8dsrJIo+5yaW3rYLmb4sM5YX7inkL8MB9l B2G4Gre4wcg+25Zd26wl9LwWfGZt3MbOknV+2tS8vG3Hmu022GHK8GLE1ml8TPQuKCMYEa1LpVwi fv/z4fFJWWb0WW6YicOi3VK2RYWAec73QgqOQ1zbQwh7vJd2SSGubOjJMzmGMC3DK/S4akG995h0 +8CzLm53uJLfgbhVNYW7Ia4LZV2AtNRVLPAJzXhgcZGO/0kDymSU5KQ7i7jDF2O8ZKd0H0pdIOo+ VBDTrjlUG9QCstYCcbUUPsP4svVsG5M+e4jvDmLUS6LGc129zwwr6SzePrgLT/tlvCgzddgHmVGC 3VeKhSZaiNc8CP1K77t1VB3xc0ohesPLT95GOZWuINymdar6Yh7DIOMxW1TRcPhLJntPXECKj1t2 wO5AZMSaU+gxiGorcBcWEy8mxVDIKGNLYqTCIKT3HGASXXqeXgivh/eHr083f/z8809wRjceuPUf HzSDuMOWT2wAkXLzHWeUx2Bca+qePKwom/SgmWLlgTGhf8oh8WbykrDQcFMFSfE/hzTLau00tAei srrjOQ0XQJqHx2Sfpc0sP4DVfO9b8W1ABoYhuv1dg21uOY/dMTxlANCUAaBSruoSDmv5rNnAz3OR h1WVgF5ggq/tUO6yTtJjwSdn3n2xi6whl6XqgQmqPTkkdc1j1/W7gM5XA3AZRaSYh/DWIcGkFmgy Zd+nfMM/6Pf0bJYa+PiEumhmEuWyT/49+IFG9jbQbkI2p3Jd5dhTFg6EdR7xrfy8E9ztk9qhhCT4 jK81vMLxrYToXawhweSA32hzqKxgmaUc0ULr2LF4OkPh/UNuAuX7fBJLt4SYJxqdizFkmoaTDKiq 5s4mDMBIlCwqLk0CEl4oq32ApmTtFUnJB19Kzji3dzW+4nHMjQ9kDVzKMi5LfFoGuOEyCVmahot4 Cd2VwhpflESvJiPl28Y8JRRjoI4Gx8Ad+bZPtAAN5Sw60xVC7cChn+3z7tg2G48eXQb3B1CbUsMX Gc/wwlaeXB641N3wSXE2rvMExPEyJ+sl3/OWokfXvi7DmJ0S4gIeWutcdrf2jniLJXonbOjW2wX0 SXApAGiMzwLEqynROFsbm+/G2RlafamLAoFRFjLWq2Kpoglg2eZgWc7GaQjzRIKTMydwjwdCeVdQ movrWZ/xQ28g8NbfOYSMPuAuIeMD3sSls8HrDuDL8ehsXCfEjTkBA3P0rRH45tJ3czoHhk0zwHyL 6vq7w9HCVXv7evQs+/ZgqOpTG7ge9qRvamatNf9d4oMrm69LCPRXlfZXgDzYbezumhHGfSdmGFdB QOzqZizitYzSYXPXdwkjtjMWZgFMoVQBqJ2jRSNNqiufXzzH2hLuVybaPvZtYnwqJa+jNirwhZML YQwMBCNlETf6M5Fq2ObIw1ApGr29fn974eJSf2YgxablnZi8RuM/WJmpRxBqMP83O+cF+z2wcLwu r+x3Z7wpOPC5K9mfD1zGXMaMgL2NeS4Cc+G41rcICLsuG3FnhVQO33NrAi38BjO/55ZPrAXeugqH V7uNadIrlCg7N47qmoyVZ32hEQEd6EXNXyMNBMGffgh3rLUeVEX5IqBLsngZmCbRzgv08DgPpbvv ZTyfQtWB7BDCNzrVuRGqbmpJZDngkhAvhsjAkHvts1NN+9IVOSSVzRRSv0R1ZRbruoIiaXBdemB6 4AVe1LJEgAc2z9SEpgWhcivyRmoaikwln89geoYuW1llrthrc6qJtMFIaj6WqmoiGIYeGW8IKrck mjdViK+8smigUNudbd+jDBlCHNV5gz41kB0inec3jO2AeOsiM8wo31ASTr0NZdMS8CZNW7rAEhZb UMJIOpDOQUAZ5+9hypJ4D1NWzwG+EgYfAbtvXJcyj8nxfRMQ7x4AjULLJmQIAecp9UhbdMD2jq// 9Nds4xD+ZnrYp2xEA9y0xC5X9OCwzkJDjR6FKU8SzsI74+cyesJY5xA9DcvoaZwvJIS1SwCJ3Tdg SXQqXXpiSYs4PeJL1AQTEspEiD+txkA32xAFzeBrgW3d0v2ix41TX88xJFIw26Xsh4+4IRPM3rn0 qAKYMiLP4UMeUKZTYWGLGT3bAEhPM1wKt2c7syVu6HigcJwFLV0vA4HOwm1ZH23HkIeszOgOnLX+ xt9QXiug94cJ41tswm6qGB4t5RQN4CJ3CP9Ccm1pT/SqW6dVw0VjGs8T4nFYj+7olAVKvGqUCyfx 0F6AcON5SfeGejOdAQnBJQ0D6lxCwVeWOXFyUjJ6Brm0pGcJjt7lB8zE2Cn+VSgkaWrTYiyEskMa RksoL9UJWQLwqk6EClrH0vvkd3+jiYdzkfCs+9Lsgww3WQPjHNqGIQ+MKExDekYDhg/qgEbGKT1Q rwXEYh/F5JnzEEVVEmaLJ/xkZjRlkZDvKQbSJeSCIPZISvbnSK92HjBa85zvPGYjIQLFNrAkbBDY wOYYZxKpD9b5IK7U0cxPSdmdpcdC3E5xdNFZ2VvUq7+D9unh/enp++MD3yVH1XnSSH/7+vXtVaG+ fQOtuu/IJ/933umZ2JNkXchq/OxUJbGQFpFGDvsAp4pTwuCzwkrWkkvzFoZKfjbIBw54+fEd25rX rr7KpPXttSzjeTMiSRr2WRzPG2drGJiSAk6ljZTPlI27gTColNEdftArWfToXt2kigwpDCop5mbq WaZ6VTICj8hvETscZv56T1GiNRcKuEWJ63UMhDKuS8Jx3Tgd1EUcwplO4/muzXd7EfxrGLf9AZYY jOznt6f3EzYG2WnDOz2mbDe2OXh+7pVNWZM/P76/Pb08Pf547w1RNjmXFqD/PqjJjvr5Ly//8/wK 70cWOVtkR5iEBOUZw1g4F0HP6TVHTNRNau4lgrHe1Iuld8Fom0N1DMnE7ltDKvet6bsmxtSAx2kB FFzGBb6vUKg/zDr90JGi3XatloEWh2d7bU6RJN8mbeAsiJQ9HZW4tSjXDwPpdmNTbmYmiudhhncU gm+781VxQChXVSPFcwnbWCMFBihxmTlw9k3HIlrgAkrEXC8ziOMTx5yU5JjrTHIIRw0jZ+NkK7Uj ON56p5C8j8RlrmrBWVnagEN5c1Eohr30SPlYwbbrfR1obRt8JDqXdBeocAjLNBPFc7OVaLj8zze9 mL/VgSHV0mD6wMZOwrb2Si9LWOAS/tlVirNeLz1trZqPTe6vzGNCQ76+dS3Kb9AgQ4XtLvBWph5B 2lFeilQS5Qls4DAuXth+d4Wr0JXFbkbvDSUY+VxqsX3DyeXA2e5oS2lz3lpbcB5v/IA28LYgfiBG z3b++UiEgrcWH8hXK91TimCrlO12NTF2bDJSx3wkpfVBbs0/sGx/QHBlueNbtB3COW+tYjlv4xEK wCOnCV1CUUGlGO5SJIVLa4QpzFFWC5njrawpnEOatlQ5W8PJ68gxHK8LziHcBVvzxNxkF9exwjRy 3NXaVrlrLThyXdtwJKYzV3jMDR1nSx/NAIlvijzDJdFAWZGNBMU80QKF8ks5USgT8irFcLM0UFYG vKCYBwFQKB+SCmVlEAjKatVtVwQZQTGPAE4JrM1qh+xpa30RdsqUtzaFsrIiCop5cAOF8j+nUlZb fEc5LO0p9+IQaOdXhpNg4BXhOfAoz+gKx3SxOnJWRkRTheBYOsSU2gRHKNWB0mPcnZs0mykFKPDi /EZCLDoLmMyFXKf4frk6fZyIxSqPzNN4qYjDAzWL9mnc7cOmSeo7YcarODa4EXpOrEP8HOZ8QvXz IepB9Wt4NPrt6RGe78MHC28YwA83TSLsimgZDKPo3JRnwjy+ZNRn7CBZYFWle+wYAwnTXQJnhJq3 AM9wXUAkt0+y27RY1HHSlFV3OBAfRaekrpXXgTIs5b/u5jFFZc1CQ86ruozT2+SOzn4knqHQcOXY qGKnAKUhmnmmeN84lkWdMnxxA0oCRgJw4UrAWUKdn0oYe6YkkHte2Hl+jkm+T4nxI/ADoXcJ4KnM qDc64tvGD1y6/nluzH319o6upHMEz7nwNQPwa5g1hN6NyNpdvVBZ0wgpOLQiKjJtFqOkuabFCX3x IUtasJRPGOWit2fRwoGjjhNanRIrygvV2FA72AwxhMOPCq+fkUJ0QsDrc77PkiqMHRPruNtYJvx6 SuBRj6Gzi+cBeXk2DJc8vDtkITsRFZGn4DWmPDT6nJGXYC1sOR7yc9ak5m5ZNLgMIrE6xbfPgJa1 abhUYQH+8LLSMByrpOC1UeC3hZLA9+N3hLa+IPC5kjKWIfAsLMQj2YieF4VeKJ1EDWr9xM2/wMso Cuki8EnbVE39BQqN86WABqskgZdwhugb6JN8LSbUAwTnXFSZYdmrc7qHHOskKUJmWFZYHtbNp/LO mESTXvATXQGWFUsMM0dz4rMRPa03p/rMmjwE8wL0BAxSTlcRr4LkFGxap65pSlqRBbxNeU8n0fuk Lo31c38Xc1HHMMFLL7rd6Yw/rRPSS1Ytb6zBMisqL0qNgoXMWBEXbj19Zm1oNKijJzF+BTcxuBAJ 8ZWnKO3g9R4XoeUTxGnSUww86oHSH7oeFtawQoSsO0Wxhui0mXKp+LIo+PwUJV2RXAcTwosC6mbd oEb7K329NgfHvKBUn7JmntSqyrKokuY4/44HddcTn2OylDA+MrD2mXgcwBqymwzMA8N7OuB8DWeg UXQ8JrVw7kdpewCZMoEM2FU01z484J3y7fsPeGUANr1e4NHw8m5OfO9vW8uChiVqrIVONG93GSrb exHaP8+Z17MAKVPKE+GS7DHTJyNBXAwvU5UmQbTwBM25CK3h7TJvxK5pELRpoLsyvrfAvl2UekiH r+fpfOQIDEy2zCojGfNMlFUQeptLeGpUPZft2bGtUzVv0/9P2fU1t27r+K/iuU/tQ7f6Y8n27vRB lmRbjWgrouz4nBePm7g5niZx1nHmNvfTL0BKsigBcnc6bVz+IIoiQRIAQcAgSmRm2/72Jo3rO700 M+B2dDfpowHZwMVscTyPrciRWtVf2u7xFdc5q1udsy4J2MbKdGx3mmpQ5OPA973JqJ+oDKMKvxey lxJbq2KmihWpYXRqq7wicJKXeYfDl/3HB3X6rpZgxk1Erdi5ipLLLzER/2xhhnjQiaphC//vgerH YpXjLeCnwztGB8RYnDKUyeCPz8tgmt7hXrCT0eB1/1X5bOxfPk6DPw6Dt8Ph6fD0P1DpwahpcXh5 V24lrxjp+/j258ncHkq69oiXxT23RppUaJ/gpE2jtqAIZgG/CVR0MxDvOLGnSZfIiAtt1SSD34yk 3KSSUZRbtPG/TcakQmmS/b4WmVysbr82SIN1RMuxTbLVMuYVqibhHWZhv0lVRfiFAQlvjwdMpN16 6juMuVs7m9JSXvK6fz6+PTfC3ZqrXBRySSIVjHpnD2dhBDYuOZZ6vljTorUC1UISkbkplGj0ELod cQnKVKRMtlZFMQ+ieUyF9qgpIsznlK+uuYKzl/0F5unrYP7yWeVErwI6tyQ6fJ5axxXQWfZV6WpW Rd1qYw7xiU7nE3UM0v3T8+Hya/S5f/nljNcwX09Ph8H58L+fx/NBi6CapPZnu6i16fCGAV2f2mOv XgRiaZItMCQn31uO0VtEHcyFoOvjvauYIilyvDAoEilj1H5nnCiMHpVJFLeEpqoU+pkBOsNSI+so ZBAcBBNC4WLkW2RhVxTQgF2+oSOlqGfgFapje+UZpNQs3aElKDusjYyh2IHZa7spL+rHTCWHeT4W CXPQVKIOfXqm9vloXTC+wbppGxnzrAOiKxfyQSst81XBmiYVRY+MU63R4bdRyGQ81mRo8OI3yyTi TX9KGC0iEAvTgFeZ1OlFX+hX1VOJhD+bOb/3MMmClVSUB6DubpJpjjmI+E9ZPQQ59DlP0Q4n3FIf JHCwEhtnybZY92wcicTb7EyENyT4Bk/zbBN/Vz275bkS1Sj463j2loqypUgk6OXww/Wszj5UYUOf cXBSHZ4s7/DiH0ZI7+uXcBGs5F38jZyB2Y+vj+Pj/mWQ7r9gR+qcoymBuBlqcrnKtIIZxsmm3W6V GmczZWxOtf5E3sRVe7YUpTWiUajyK4y3tm82RIklaZZ0S3abJH7oGnH0Etdpsl74+veQJhGGz2Ls nl1Sbp8pqbCr8Ljr4TeHQCv5bLkWOx1OQALddegO5+P7j8MZBu9q0mgvnpUuumZC5qjX5b1wpdv9 Ez1MbUavreevBPwyl20Dh7k2rBhj09tEhF1OkZbLrEqk3CqFKpVS3OYJgd9LHVoiOIWH9JZrCnak MIfElAVQRJ7n+n2fBAqB4zDpHWuccblRg7q6owMSqgVs7lj8glGyX09IIyVXqWgafVq8/jmjNYfs 9G8Vte8FF5wvFX+6+Ho//EI6zBffshh6PWQuFunNWF1J5OewWhnYpemBWqaFaMhu2UMu43uQN4jC tvANNLtpumpGraiLSlvsb65zfb1K17Lmbpnio+0VXtuIVRoYnQnmH5g2sR4uFDBioFrCn8Rss1p9 I5GapTJatAlVEezh6GABcs3KDAJxpWiJ8x08CDOy5iwtZoICQPkJ8kAGS/p9CBcTascxaGL8RVWP h9zLMKagyr5KfeU22DBpm2uaGf41vcC7/YlRQcx361ic8y3VopZVVXFOMhNoVWLe0u5szBjdWi7L 6hPiSxMVqjESAaVl1zTKnrYEtQEJ27WE0xGX0BvQjUoPJwS9UKrng00CG2SxWC+jOCez5CHfP5jf Ez1QDAWlbc27LL5z2+3GGlhWBrAOOt997ju9qqr+WuAfxm9Ydch6yoUeQXgtF3xXrXE0fNDdWJ7D 1IUdBirjC/NfW95vbT/YOtfoMOs0D4UsphQfb+Ol6QgiYiBNQqpCPEXD86NrPeo0SQUSM+Iq1aW7 jjOESTTNUT1Yona2eED5eTmPux5x6HdC7FW6hlD4XJCUK4HXQ6ASvzPx2Eqcuxql8CwMJp5LCTEK bmfJ1nVm7mTIxJircMahu8Q9z6Hdaq84Ex2uwhlVv8THHnN9pMK5ixzXPvGYKH0Vgc84XiuCKAht ZyitMXUvR1fxIDr9Wqff7eGHCIS5vk8vXG/S03VFGGDC4R6CNPQmnPN5zXHe3zyeSNeepa496amj pGnFfWhNF3Vg8cfL8e2vn+yflTCYz6eD0o3r8w1z5BC+nYOfrm4ZP3cnHGrD1P1MhcImFZrriSpe S9N2U7ezOB+fnw09uHlA3V1VqpNrPn6YQbaCpYU7PDAIo0TSxnGDShTU7m6QLGIQLqexqeoYFHWM v1tVhdmaraQdjZD8ptJjQY2H6vHj+wUtyB+Di+72KxssD5c/jy8XTJWkkgUNfsLRuezPz4dLlwfq UciDpUy42CTmx6gkuLfpsmCZ0PuqlnaTKShLTFzgBP67hA10SY1SDCtK1+cES83/K8OkIyebMeIU yFsvFDxfMAYLXTOakGQYZLS9TNFQ0pVJsZ23klqXYF6EGDLu+jVYUO3NjaJFCHLGN7qwCgf6r/Pl 0fpXkwDAYtWU2xuFrafq5iIJpwYhttyAsFHxJhQMjlXqisZ6gIQg1s7qAWmXm3J7XdyKVtgs362T eNeOW2i2Ot/QiiB6Q2FLCXGkei6YTr3vMeOKdiXaji1KhK4IriJb59lIsvF9myTMhZAGic9YPSqS xTcx9hiLeUUjgq0/sSgxt0ExGvlj3xwjRPK7sTVuGrFqQHqhe6NxiUxtx6LlOpOGuatSEW2BhD6H riiycMZe3TJorBudpYj+Cc34RqcP7YKxSNX8c+869I5WUUgQeydM1NyKZibYS9j1WAEjM2plg8Rj 7tw2a3H6RyEWrsVcMK5r2YzH5oWr9jd79XqDl7duzGTsZkYUNEhuTjSXETgNkv6vR5Jhf1sUye11 YdI/WGpCM5eB636ecEEyruM5vD3kvn2LcXAdGPbPcb0A9fcvzCnHvjGBRZiNJpSyoXaObswR5B+0 pXZ3hE6fu47rdFc/XQ56rzAFZrPRtxgeWGsSGl9vGstvsDgwhMPcCm6QeMx10iYJcz+zud2Mvd0s EElKS28NyhGjb19JnKFFBTqp14pZQnWpLO7sURHcYKjhuLjRJUjCxAxpkni0F1RNIoXv3PjS6f2Q 01ZrHsi88MZsRC7pn2nfvy3vRdZho9PbL6CF0Py9CDYxZoHAOrrcDQA5ArQxqOb51CLNtE3cJl62 XvrkgAs6nHEtheUiiAKXyeVab4IF/Lq1x2Vi3Mq80hEnWybsuvHLDXV4WYsnKO5Tz+Wj1vFufXtU pyG/NfUb9w5QmyaaEEHvaKf55vuvpV3hXieiE0E3SVQgvy1Bu9nu4mUwxfu2i2CpkuA9JEUzJT08 vNMxAs2yMrFH9Zw0UfMoA0uUA9FVd0wL0D5hxs0jxqkvEGh4Ta0xNYbTUOwk4HmQRI10XfCayiD7 avSPZkjyPSrYHtcIFRETHU0Cn1rd7lys3DDWAn+Yxi4D2G0a+06Wuq5VVlAWKZ50rF2QTds1a8gG jGusYswdi6ozzVuwXnZYqu+dCkpAnZVNA2F+jipdYPftxFwUFGAw8kPnPKWNMab46qDdeLtcqPiW 0CxpzNeynKpGZX5tndQ0DvH55sl1G6pnXvhyPLxdjBlfzz2un6Gcyx9eT0fN/F/1i6brWfeijHoR um0YHfCgyulpt972OkSRVq7NLFntkpUQa3Ve3dgQFAJLxf0sMgub7VFEy5WqgKvdcDOsSnZCBBlR DNN223lBb54YRSFa162qRSC/302/ZXh6IoJlMDfTJ+A6WMX+pxqvEvhWw7Q5nmGAult3mebX/Mi6 rLSAdaApxto1ZdUSUfkh2NZAt7UG4Fpc5QLsuZ31eD59nP68DBZf74fzL5vB8+fh40JdR1sAL+BG K8OslQFMUW0Pb2yeE0wOdf28RqEM8/V0h/VJE0AzUryBrav1AFp342YKDyictZ6F1SgLCgpBE5z+ jAT2ZRODf9GJqZG9qgHOl4U2eDXL8mCpsnbsVJDkxkr1kKyKdIpEzWHBZ7JNCMSy+gxiTBUV8B8M nPk6LXM3CoJ1sdptYRqYq0ERtDNE19h8lUazhLw9HS7ylYjrWWVIJHineheHKBvk9JyqKLJ8Vaw6 j95N1d32Xst8mN5hTwKH3K0ba4ASggHDUNRZ0DzL1zcZEfutTrqjQgeHL6fHv3T6wn+fzn9dmfD6 BOYikUGRND1dsFhmY9syizbxVnu3rqSxjSC2kBFtAmq8qbLOUZ98pdKWui+yhkXit476ujRSy2fU 4zLxXCaDh0ll02YWk4gJAdQgCqMwHjGJMVpkEzIoYJNIYkzuXTOXebM5jsikbZvjdb/Kk3uSvCPo N7ClmcSkS9A6DG0iW3rPb5IkIRNts8mS4Y3OaDnQYBHKzUvpdAtlTnbBIgFW8ENQVy0en3CQ77NP jSbjcOOwtfqO04BgOsWFygrcWDIL2AYo4uZUKtME02DhjyYjZow0CBuiZOK/dGkTMf/nxJsoDv8f 1PGyTU3RYmRt8lMDoaKhkNh8O22cUGn9e+eOtttyoTSBIBtb/vVM2QTDzAb1pA0qUX8eybBVlGci pJuEcItYzV4R4UOGFpnd7+ZhuIO1kF6LkECIPoqkrGJo2bRxKKnfwSSNQIKUIOg8PxoamqIUutz3 SZ+kCp7YPvkYF6UMCdJegkjXMPFt2mKGBGkvAbxC92pfI3QrmUOvRhUjSrO+VjBpJG9rlPpmaVlX s1htk1p3axWOg9Fo4lGF7cdRH4RdwAXeNgIF1CDedID/Q+dWGVM3vRqtwEqgscZS20CjZOOT8+Ea zL7EtKMeTjt/aIo1LYJ1hLdscF9szkjl6rYLw7VR5FnJLsD6QsPJQcc6D8ZugQjxgZpg4dIPRrHT +1xutgPbqgwdu2kmMrN8vUyyRdLMvLd4kFmyNJ2Nr2XVOnJVR66QzIg4b1oOlKfP8+Ohq6IpBxfj GpwuMS1dugw23qkpKco8rLSualMrnSTb6QRhVHWAjd5yVHUwzlwgWIrVKt09rPK7IC9THpZkyuCV 50GxBnLLGnvjxlTATTbFeGk1ie3blvrHeBEwSkUAFUwcEy1bANKxZax5OltIllDyvCjuiNyE1ceE gkmBUhGIYs1EQKwoCkHfCojr5haUaakcPEIBEEGSTldb88vFosHOlXJUltavzFLXsXZiyuT2qlmj TVE9HhqaRWVLpYmrDCzCaKqWmqrC67KsP4m/VaV24yALJexrlOOznrwLmXWq1tZJmSYCZgf/7SiM ZlHY8zW7WRpvsU+ND9LWJyPtpC66ehjpq76Ht8P5+DjQxqZs/3xQHljdOyz6aTTAzAs0kLfrvSK7 NAsMPYEkwP1hxvZr5xHgpc2IEvkqyk3D0rma6eJ2Gw1zaM1VFel1BujtomN/a4g4WNtGSMr0i1wv jZdXJbuN6ToOM5x/h+KsDqw9kQ6vp8vh/Xx6JI9PYowUhbpO98H3149n4iA4E9LYzlWBslbQ81HB WpBVVw9zJm1ch1CKmPLMbNBJUdtwMX3JT/Lr43J4HazeBuGP4/vPgw90B/0TGPZ6q0WnNHl9OT1D MSY06XxgdU8Cw7Emy1ltfpyeT/unx9Mr/VQeyGyK8TOzZKfiDhorMWaK0C5QxAfhnjJfF7J60fG/ xJZpGjLBcpYH4WzeZo4M4zU95AGlWiMuw0z7yal33H/uX+Bb2h9jMtRcTqlFXWEiKnbpKoji/HqE VI5J3FZArspHm3CnMj93gMzJOmXmDRVV+BAuUUQrcjJlL8Zwb0uwqF91RdhGadOvC+/AGwGSNJ1R VK8L83xGlGZiF61gX1g222CkWDJXkay5EtRlRB1KCpW5KcGg9KK2ENt18DUkhqdgHGaPfROrc+fs ZmsZk+Xp6gFHgMIyQVaVifKX3XSja+A4febAF5Uca8wjJkKkiufMxLzDHow3s5zMPhxvi/DqUxz/ fXk8vVWxgIjLcJp8F8Aui8mkaaGopNlmzpj2zigp2CzsJY7RnlwmrExJomcHTH6MUkGfSpWUeQHq okubz0oSKTzPou5+lHh1V9vc/yoorAzTtNIKO03+jdqTzfoSPJtRt5bp3VRdM8OfM9oChASl+zWL yyp+Xh8FUYnePB4fDy+H8+n1cGnxRhBtU3fosQHXK5yLtD4VMCVomwBADuP0MhWh7VnKoZx2AY4C 7sJvFLiMLxQIP3nE2JU1Rht8FMY4l6h+LXRDd26wTegBvNvKiK78bhv+fgfKFHNBMnQdxrtTiGA0 9PiBqXBuYBD3OWuNCMZD5nYTYBOPOQ7QGPMp23BoMS6UgPkOsybIMHDZXCTF3djlsuECNg3MOE6a 19/2IClhwJ6n4/Pxsn/BCxWwJHY5f+T4NLcgNKG7QEH0AgnQkMluANCIf9eIf9eI8X4FaDymPRMB mjCelggxV5pw4be2uEew8HjMwqilqdMHniLOQUB2WDwMbeACm8Xj5SZOVxkeUxdxWJAuN5UVzAwS tEjGQ8ZVcLHl0nRgCvIt3x1pETpDJsO1wpgsDgqb0OMGG6fNuVcjZtvcXVgF0jyJmMv4u2MyKJ/5 fhFmrmMxd3cBGzIu/dUJDJ5keKMRepe0+tDQWGSQt0ZrGaxHnL/lVW5IuIG5kmzo99ZibvnqhttY keB4W2ObrrqCmYO6Ch5Ki7kXqilsx2Zyn5e4NZY20wFVDWNpMat3SeHb0mdCRSkKeANj6tcwqBo0 r2l47DMyIsBFGg49JuHMZuYrf7au4h68vr+A1ttZoseuuWxq9MfhVQXy0W6W5iNFGoD+sSgdK5m1 Ro65eR/cs2H4Nt/HzOKpBLzSwUG/V3ai+Wnf0ONT5RsKz5T+CJWGL2VWgTVgCiIyK6tvxR8unRs+ 3y4Ng0FU7n6wEe71lsjtg57lM6dpkecyIgRCjIQG0JCZAggNuX0QIFqGAsibOPRYKozJKoEYE1QK IN8Z5qz0hAu1z8x0fJZxTwdoxMg5CPlsr4z4EeiRDlwmtxHMmzHjkB5lqwKvdtOrt++4zEfDZuHZ 7ObkjZkBh71iOGKuFSE2YfYRvVJEhIclzpunz9fXr9IEVLH7DKM3Ht4evwby6+3y4/Bx/A/epI4i +WuWpnXycHXko2zC+8vp/Gt0/Licj398ohelOSkmrftm+lLHj/3H4ZcU6jg8DdLT6X3wE1T+8+DP +uUfjZebFc6GLiGtVrP0+et8+ng8vR8A6i5qUSJt32LnG6LcLbEK5RgWUYed5NtcDpmtYCrmNqdf ZGvX8ixWdym1qvm3fNWjVCXF3G0FxdWL6GH/cvnRWPyr0vNlkO8vh4E4vR0v7S6cxcMhN10Uxpxb B1vX6pG8EOxe/ll8vh6fjpcvcjCF4zKbb7QomH1pgYIBI48tCukw029RrBlEJiNOW0PI6XZ7AnPm goEKXg/7j8/z4fXwdhl8Qk8TrDpkOqxEWYNBAhzFck0Jc0v2ndgy62uy3CBL+r0s2aDh3lCybSqF H0ki6sPx+ceFHPEwA7Eppbk8iH6PdpKzaQSpiykSaSyL5IQLkKNAzltjurC5hH8IMcMTCtexmSuF iHEebAI+gZ54APkMEyLkM2aIeeYEGbBoYFlM0tFSBktk6kwsRjUyiZgANgq0mQ3sdxmANM/cDcty iw0QU+RcbBdYUWApYsZ0lRUw3PSDGTTFsVhYJrY9ZKZ7cee6jPmrCKU7ZNw+FcZcEa/6toDu465b K4y5Zg3Y0GNyX66lZ48dOhTfJlymbPdtYpH6FuOfukn9lh1TO7/vn98OF203Jaf2HevxpCBGFryz JhNmxpemURHMlz0r4ZWGtf8Fc5e73StE6HoOkx2yXOVU5fzmXI3wQoTeeNiTQbZF12qu7uTPl8vx /eXwd0tmwpaIdXehTd4eX45vnUEx5Kn30wX2pyNh8Qbld8wIAijJDpkVTmOMBAySrM2wK2IcKxdZ SooP7Y/4uOzNXTYV2cS2CNkoOx8+cHMmeXWaWb4laMf/qcg4i/si47orS227x0KtYZZBsxQYlHM4 9FjLFEBMytuSc5U3Pt3fHicCLjLH8unP+J4FsLV1rRBqu3/DjABUX0t3Yhody+E5/X18RcEQL64/ gfKxf3skBytNoiDH5E3xbsOssfmMSwm/nXCxvPGhcadZxeH1HRUihnGA9ZP/a+zZmiI3dv4rVJ7O qfqSLCy7YR/2wWP3zPTiG74MAy8uQsgulQBbwNZJ/v0nqdt2XyQPVUnISHLfWy1164JRB1VTVGnV 10KM9SLff3r3UTotivqd8DZDKH5Gu/aqFU40QgnHQNnxmSB2hQrDoo7H56XzKg0/wlg3CJouuSNw 6IBKYLrw5s9qRIumFYi1l0lhmWh1se54UxTEb/Vqx5naIY4uXMMC0cgCvf/EEsf7XJGAwsgJt92I R9MDGWktYbuaMxglijmypDs5kymCVxzATjnjD8QZ5++g+9es/XZz4deI1k2eNb0F4L4YyubzcQjf nRQx8e49BwMl11llSV6jJ17h+j3YhTLkJ9iyGZ5dktOwTjvHjmG25kQfxmKlN8qxAx6HG3voWDVi xi1sTh3CtGupa0BVVugQVrtjk7dDm643fh/qpOk05lfFJBkmqJrFGCMwaCv8XUHfHTMVhI4mwEOi Mz+eua4xywW/mad0dcaPBKBdU+W5WziDmUV3wiXd9rdPTOEGa3Z3/JUu9kK8EEJjMk19sURQp8dn fBQDwptdHFVb67ZLYNXylhmGpq3SdS0kNbAUXcFG0bTYMGCqAXfaeoCIHzp23MG31/uTTx+Xxgu9 05lyrQn86CbE+h2NSM6zyLM4n6pcMwmt6u3VUfvj9xcy0puN2mx6bj9KP/yYXMgcEHEltDXx2JVB fCIEx7IAT3N9ZpIr+EWO5n75iJvFODijzqsyMX4K2HqW90IZxjOM6N5Aw4V0QoqypaQ1QZcRSt7z TeYjkJkB9+4SH2yNk5kxMvuMPpFbaWiCgfRIDKMy/kro+7swLvU+GU7OyoISUxymWhw/MnFfqiyF 47NebLm1v744e/fxdHkYDCslyv0bKINgMwzBYteIpBfsmZBgdKXhGIqLfx+t4QjLi+xENr7mZpwJ qUcRBLN3UbosK2aXzRaRuMAfhJopXv/hBsrb3FotZPWwg0Ou8ttgkYWmVB8G7VUwGlxCE4XyrbDE DrP5+pSyZizNtqXbH5+8he7DyYe4vJgKSSIOYVjzPmQFaF6ZJvyKLdL4MbS+e8bgW6RdPZjngDjm AIphdWjHXqNXgefiQ0sdxC+P1ADfW+DUFuP0ULNhLZpkMmVOHv94frr38oglZdZUQnLgXK/KXaYL XvLPEk5eGEN7zsMEzEitpfxJZsuvQb0RLN2nfRQW4dZHJwboiJ13sBqUtf8VumiONLl9raD2mIA9 HR/UKpR3zENhq7nYFeuWUx06NeX+gv+Nrdur2qFY3z8//O/m2bXBdRdWi3kQLj1HnhGcblV6rjib JnKtwPcDCpyQVrm/Wg0Kd4c1uPYEGt0Ul0mj0I61YI3sQZr3U1QDwKi+/Pqd3AXGor3qLgeU/KXP jWlOGpnUw4r56Lh8UjwH41CS+m5Pm6ra5GqqOppYtdZH/1H/vN49vtyjh880HXoMavtfx+tnKhY+ G3YJG8sFUar1ohUDBLQZYKkYBgQ08ixANn2JzmXk1VCb+NkOFvqFfuw+EPha26PTkHFN+NdvmuhB NKopnUn31+lNgioW042eaqnjsjGeRg2KDnapZZefNdOaYnZ2d1+fb47+HEd2eoKftgtyb71zTlrO u9Pnr/Q8NkrUmzbEpGkCfb3odaO8pUpIin+24XcO4ts6bYbRncv/VNnQyOxiJYpV33We2zsC137y FdOKis3WkNh9a3LEDDpzncoIWRinGK+7dR1EkfaLCeBb4LV5vxk8rZowdF+X5AG07P0QXKbOvu0w 9U2bcbdHkzptiiVvtb6GWc3C7oQ4Zq749xDqIfDBNq/YFlAjQVlP/CsCMwLMsrAdKlS3rfjzxkzw phGrg9XWpyobMKINMdGqzK9CNkUPu7UKl6wAouDkHByltyTqGKFaFU8XIZQuv8g9MyToDiSPOnlf VXWjNlrIMj+O+zr0XHDx2gvnbjZzl03+l+t7YMVGf3YOxCxN4MxDd+XMhpV3fYi6kyGI/G5Awx7Y HW/5272PP0EQHI6t3kMdvJ/BSNWqtG+CqPYzyemw9tt36pUcVHsqFegTqTKFozRk2T6NFLv9yyrz ZHn8LRJDa4oVjbd/A6OB5QNO0OG+yKi9jIJ1ciLhqjRGWtSqMy2Z/fJGCD/KE5YEJxICN+JoT8Rw NoM2VAIdnap8Kw21vGsMPmlh8PhzudT5wiCsT+TBw3pZWT4YhmmFoJ9zuOoNzOZfq2putDE84IB4 7brzFaCBYOKWqxDvto9ftBO+rDq9drhkFgK0AVA6khkKZ2pAN0Isc8B7Y8xoDPU6G/GirzqPOxIA 0wWSLy6l4lonKasYY+J7Sw/cvQx6ahDyIrhYF92w4x+mDI7TfalU774eA7StW5+9oArkbYUU3Rin X9VONXlyZSjmvTVB8eACUSkFzq/5lxeHVpeZit/X05vbb36C83VL/COmzH4GKfjXbJcRn5/Z/Kyf tdWnjx/fSUu+z9YDkzUxq9pf10n3a9kF5U7LowvYfdHCNzxz2U3Uztdjapa0yhQGF/x8+v43Dq8r 9BIHSfvzT/cvT2dnHz79fOwk2HBJ+27NGxGVXbTnzSXFy92PP55AmmZ6SM40fhcJdB7albvIXeFn syMg3s67a46A2OWhqIAXVk1UB+j5edYobouDkuqFTAyeSbui9ttMgANnsKGRjvZtv4H9vHJrsSDq hKsOWzF1A5oQKGFpgB/lGP8sX2vQ/TwQ+qSaxLdXbaf8OIdVg/nRZA6eZAu4tYxTxFUl7Fb+EFAg /ovo1UJbVwvNWRILFg63FBRjdgu2F33Sbr2FYyHmsImkEx9tGNpCubAH8Vp/aIGP53xBlqKAnSp4 Y3OU9sFy+QNp6U4E10afi7/MrwULjpmAf9Kb675exl+3Ha8ATRSn53gPsKLojdfC5dtIq4qVyjLF RSWdZ6xJNoWC09WI+Fjo5/dzWbsF6bHQJfAJSXwsFrZBLeMuyv3pIvajjG2YSkdOiSmrXV5Lv2mq 6YmpUX5KRouHCZ3QvFY20p2+iQ5+tZVgkGNJMPbIEh42LT/rV+1OPLelYQHhC2NQBQx0RAbcF3+7 AdLptxdCxkDCo8NFnobk7SV71WmIh+OgttPBffUpR44D8lHVdyEmV3sX+xCWPVBuZFz8dBU36Gy8 lf3pr7vnx7u/f3l6/vpT0Dv8rtCbRrq9s0SjQgmVr5RznDdV1Q2lf+riJyhF2kRqWcnOlCXCI13l SBQUwe1yaGaqkCnqynm4QV0h/GlmxqnLvMs7J0BfNnUa/h42bRvBMCywTTvgsVGDlcX0VNVb8azS AqJMa/GbKkvk413YEZ/qQI4jwAGZyNAs3EqUbgIG+DFKoZ6Y6qBHOXcAOdebZxf3m2BY6RMJRs0e 0ZngXhAQ8S+JAdGbqntDw6V8qQERr9UFRG9puGD3HhDxAkBA9JYhEOILBES8h6VH9EnwFfOJ3jLB nwSXEJ9I8Pr0Gy4Y2SMRqJi44AdB+XKLOT55S7OBSl4ESZtq7qXQbclxuMNGhDwcI4W8ZkaKwwMh r5aRQp7gkULeTyOFPGvTMBzujGAt7JHI3Tmv9NnAX3JMaF52RzRmFwEBL+HvX0eKVIEawBt4zCRl p/qGl9QnoqaCE/5QZVeNzvMD1W0SdZCkUYLN7kihoV9BmtaYpuy1cMfpDt+hTnV9c66FtFNII96b ZDkXS49eXs53RWyo62Lc9CMuHJrcd96954RVO5hH9zsE+jFcJ1rPvHWCgqY4NDCue3P3COJH55dm E6GE35lwZvkKJMy+3WKyCP+z8XEU9ODuKq/w8j7JyCIA1GKf1GS2mGE2a5O+JvHSo/U/xCf3bdV2 MTQwcdkhFcr57JwZLNqv42VxBmvDSqHR7dc5ScRH325u/7p//Dr673x/vn98/cu4RzzcvXyNM9zQ 1a0JHetd7qAaBKIn6P87FGetODRd6hWgSCFzjyhOnSsRlKVt+ZmSUuJkV2WCT2d87q306eH7/d93 P7/eP9wd3X67u/3rhXpza+DPcYeonMGGbZxrmaDjUyTfmJmsrXNhuzpE+Ja55gJwb7IV5lrRtWuQ blOF4Q05FALKaJp0KovwRY9zjk8xziUrqJXmy88n707PHKm9g0rgGEUfi0JQu2F5m6CoLa+a9iVo LhkWsKoEv1o6yavLkrUNMAPii+VbheYX9klpYRhBKCflrtBtkXQplyolJDED6D8g056/xPwwZqTq inhGG46ghcdLY10BgxkuVXKO+tiQsj4URYJ+BqCIu64DDnC6vDYz+fndP8ccVQvsxzUlMC0wmuP4 0FvcPTw9/3uU3f3+4+tXs6P9yVD7TpWt9N5pikRCypUjzykMSFuVUgIbU0wDilqXyLYzhqpafYGJ Evwb8341kvENJgqMBcopfcTa7SgVqshhluIZHDFLi42se/o2SKfk0eyKuGg8a+DsDR9tYqqGNz2e 8PVmnSebRS8LS2sOGqYpBiE23wRZBO6ku/hju7JhMbIvmdZYDBpynrSJe7wxPwc4+XPtZ3gxCF0i nH+cgCVkqJaG4DytvFzn+HtpVrcgiUQnB+2cIwwu8uO7OTO2N49fvde0tlp3eLvS12wcNKcaRA5b tPvtkpZfYZcXwH+AO2WVcD0Iol0Kq3+o+GdkDz/skrwH/uEj8ZDGm7J3ThdgSWairYLBhmchQaOt FhRptgrIHAc5OLbqXKl6mYfAaaeKOk5AjxM0c7mj/7x8v3/EqDIv/3f08OP17p87+J+719tffvnl v57bsWFMHRyWndorvid2edisBQskhwu5vDREaFN1iUZ+C7RkK7DAdptqNxkEsBQmxwJM0EIlSVeh 1NTmMPIH2gLVYGT3KYI630+qFHYA6BdKZvXzODDh2CeRBJZOh1eb7qqjQxtGBaSNVqkMllgDGpNg H205ujlSlg8E+HenmlXlBidmMOG46MWzDEbrAIXwCGCQZG2hg4yGAU0KcihoSDqIZGICr6e9cPLT 2mlSXg0/OHvwIZ4B62UKqRiHBA8RmGaYzZEnnRwHhTSJEFwXsepiySjIbrkLK5Q1kTgWUBrrHBCI 8OmN7xc2eDTupIjjo7cir0fb+cMkHWhqWn4xIihLbC0bFmkwaWCZXnUV95ZCi3ndl0bKpYFrArV2 wm6apN7yNKMitR63nlcAAYcirXqQkUHzqJpQpUfLBppRpCQ5uQ0oUvuhKcWxU4AvkMnMuSLmwYnW gVngPx5Jo+vuXl6DJZ6fZ4JzAgkPuC3h4BasxYhExK5GvkTca2ETrDo4rWQ8qRBwQg/LZOaxW8Yb Fo6OaEupLahLW7XPesHFzPQZ1MASta68ltiOkb2AsBNyhxAB6et8HCDCr3RXCJ5DhO97wSWFsA2I d1uya17oayLcblFi7EXLZ7NCzheWD1rKwdav+bsI08N6ofucu0QwE2QgtNCC6Cpk1BBVgQSevY+Z 2gTNb86VkPDOKFUDqWiwO5tetoI1S6AQjLjbBN9bDygGm8yzvcDfS6J8v0KNgMxE9bWyd3HzDhi1 9pGwrIayz/nRI4plzYk8o3RLwtelb8iOGyTtLA2/HSktU93hRovijfJUjMfDvPs1St50zMDJpDMh qCYVZyQhHCCkHar1uhUuBO3RyG9gKxnmelNanX2BDP17FlqkcsrGIDAlHJ42zCxrwq7e3f54xpAs 0cUcLmBHh4Rf8/WqyzNb4PBo8AIUyNOERW+LYJHWrBZETJEEEEO2HSqoj65ypbBM1kogK1RLPkK0 ivg7KqL0ltz49SX8ly7gtlV1vlyTsJimoqxByDJRqJ+4u5hSCpcwNMgJkREaTSUJLBcjMl70gZMW zYrbqm8Eac9yLywG+I4yB9Ry89tCSqsxkcDJWV0JtlwjTVLXsJYFlX62/6iSrBYiy0xEV0nBpW6a DOXdkZuAA2yQMkFJeulTzDLoX9VoIak9cC721sfIn/NSTVJXEfKxn3+azBj2INiS4OzYRieU777b YxQbWrD1Bd5E+ImwIiIsKaKiHThlTkqf//3++nR0+/R8d/T0fPTt7u/vrqObIYaVuPEykHngkxiu kowFxqSr/DzV9daVmUNM/BEKIiwwJm3cJ7AZxhJOTyVR08WWnNc1033knp7fylhHK2RINuiMTUdu cCrNto6pvAEWSZlsmKGzcK4JPe//6H84LSC6lIiK36yPT86KPo8QKCGwQK4lNf2V24Lc9KJXvYpK pD8ZU2RhMHKZSd9t4QxyPQosRlCpLbbVRbygVbnBW9YH6+r+4/UbBrG7vXm9++NIPd7ixoJz9uh/ 96/fjpKXl6fbe0JlN6830QZL0yKa3Q3Bwoam2wT+OXlXV/nV8Xs/qmjQaHWhd1GpCr7Wpd6NDGBF kaIfnv7wPSHG2lZccoER2TVcA9mHgqn2FfNJ3lwu7Ys6aEWI3wsXZ+MeVVdh7jUTvPjm5dvU8aAP cNBFI7ctkpRZdPsDrcP3ifgO/P4rKNhxvU36/oSrhBALM9Gk3fG7TK/jvUq8Mh5ybvlE2ynjHlAn 5AemWFCbt4nK8e9SyU2RHQuRaB0KwY5tpjj5wBv4zBTv/QDPwQbZJsfRgAEQiuXAH45PmB4DQgj6 axnLpjn+JEQMtoyu/nAcx8ZM779/82IrTMdoy6wPgErZ10aKsl/phZ0Jytop0z0QRC7XklXLuPqS QuW5Xjzb0qTtFhcbEnyUm5eplmndOjpDos2/Ta4TXqseJzDJ22RpmYwcl5t8JZgrTPimBo1pcX2o xXEDpSIc/sn8AmOgBvH8p9Fa48XmUsGSx4VFn50urlnJoWNGb5mspTePfzw9HJU/Hn6/ex6TE5gO hGu1xQABnOyWNSu8kCl7HiPwaIOTrq9copT1cHEoonq/6K5TjcI76/pKkLjoduxQ/RNha8XNNxE3 wlNVSIfit9yz7SU3amoHEmGzg809pOqA7Kp2FLYzTQQvC4Zumm66OhQyJDrf2RhQB3qMlO0H/iLU IUlTgSTZ6R5N3BZ3LZZQapjy/ZCW5YcPe/7ex63PlHutD7bsQlDYHZIxStESv9yRRYKuIjkGURi/ qK17hqXR8CVrtZdSFoKWWRQKr1vorgbjgsXcCVMo/Emy8MvRnxiT6v7ro4m7S6ZiwcuCcaCBsyZJ z+kZwd4wsXeKeAk26bDc2W1ohBPcIsMxQVFgLDtWOLBcGUsiloyeZLOZJKydpDsZjYc736cJw1Xs IknBWCQAdXuBoFRVSSRR0+3hSBRyy4eVd3yvdJk0V8yTho04/fvzzfO/R89PP17vH13xvEl09nGo L5z4CbAJFeawD9/V6PKZw5prRdfKazQ7bbumTOsrE/HI99x3SXJVCtgSo4B22nVZmSJophhBpEjq GOWaylKr0VspLep9ujWP/41a+9w5hemEU4fd/emxJ7ymQ6wYQJVdP3jXHLD+giowTbFsSWAJcp2q 1dUZ86nBSEICkSTNpSyjIMVKMPMELK+YpL/Nfcr1ympTHo9Lz5gv93urJY2zgDd/4/w4k0NgmiJz Py6RRNipAeY9YXlsybVSlyTBzSUT1Mp1Ti8dN0sfarx7Q/gpC0fn2bmYBw/s0E+I/TWC5+/N72Hv 5oy2MIrZVse0OnHZmQUCq+Bg3bYvVhGirWEmIugq/eKOt4UKIz33bdhcuxb2DmIFiBMWk1+716oO Yn8t0FcC/DRmCu7d/7R2Mr03L9vks101mRdLqW2rVANzI+bXJF4QpxaZj5v83YDQKGDwmBI91/mh s/B1t6yqOoyy4hGgrCGEYSFvAa+S7MLlvnnlPVzi76XtUebohu6xHBgJ4b4hE1730EOirnLOWhP2 mRftrtLZgLGjgPU7Q9qn7Yl925+B66rsWFsLgLMBapD+7J+zoISzf4iHz+LRJrZ5n1F15QdLtG+u gKGbvhlF1l+Zqiunc62xGgjfY9FkhJmB/wcogm+bPHACAA== --94eb2c03a2bce0a7f8055b6f0b3f-- From mboxrd@z Thu Jan 1 00:00:00 1970 From: pasha.tatashin@oracle.com (Pavel Tatashin) Date: Fri, 13 Oct 2017 11:09:41 -0400 Subject: [PATCH v11 7/9] arm64/kasan: add and use kasan_map_populate() In-Reply-To: <20171013144319.GB4746@arm.com> References: <20171009221931.1481-1-pasha.tatashin@oracle.com> <20171009221931.1481-8-pasha.tatashin@oracle.com> <20171010155619.GA2517@arm.com> <20171010171047.GC2517@arm.com> <20171013144319.GB4746@arm.com> Message-ID: To: linux-arm-kernel@lists.infradead.org List-Id: linux-arm-kernel.lists.infradead.org > It shouldn't be difficult to use section mappings with my patch, I just > don't really see the need to try to optimise TLB pressure when you're > running with KASAN enabled which already has something like a 3x slowdown > afaik. If it ends up being a big deal, we can always do that later, but > my main aim here is to divorce kasan from vmemmap because they should be > completely unrelated. Yes, I understand that kasan makes system slow, but my point is why make it even slower? However, I am OK adding your patch to the series, BTW, symmetric changes will be needed for x86 as well sometime later. > > This certainly doesn't sound right; mapping the shadow with pages shouldn't > lead to problems. I also can't seem to reproduce this myself -- could you > share your full .config and a pointer to the git tree that you're using, > please? Config is attached. I am using my patch series + your patch + today's clone from https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git Also, in a separate e-mail i sent out the qemu arguments. > >> I feel, this patch requires more work, and I am troubled with using >> base pages instead of large pages. > > I'm happy to try fixing this, because I think splitting up kasan and vmemmap > is the right thing to do here. Thank you very much. Pavel -------------- next part -------------- A non-text attachment was scrubbed... Name: config.gz Type: application/x-gzip Size: 36799 bytes Desc: not available URL: