From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id C9EB4C2B9F2 for ; Sat, 22 May 2021 14:39:16 +0000 (UTC) Received: from gabe.freedesktop.org (gabe.freedesktop.org [131.252.210.177]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by mail.kernel.org (Postfix) with ESMTPS id 72FDE6128A for ; Sat, 22 May 2021 14:39:16 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org 72FDE6128A Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=dri-devel-bounces@lists.freedesktop.org Received: from gabe.freedesktop.org (localhost [127.0.0.1]) by gabe.freedesktop.org (Postfix) with ESMTP id A26EA6E081; Sat, 22 May 2021 14:39:15 +0000 (UTC) Received: from mga04.intel.com (mga04.intel.com [192.55.52.120]) by gabe.freedesktop.org (Postfix) with ESMTPS id CB3BF6E060 for ; Sat, 22 May 2021 14:39:13 +0000 (UTC) IronPort-SDR: ALVu6PWQ7MujoqWbUi9b7KWjBVR+ucAdhJwvzcqIbSFjb62hfi/I5YayWLPDqzlKfWVAZEWucL OqLrkImsUMtQ== X-IronPort-AV: E=McAfee;i="6200,9189,9991"; a="199739359" X-IronPort-AV: E=Sophos;i="5.82,319,1613462400"; d="gz'50?scan'50,208,50";a="199739359" Received: from fmsmga004.fm.intel.com ([10.253.24.48]) by fmsmga104.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 22 May 2021 07:39:11 -0700 IronPort-SDR: sOmIhDKWobrzaOjRQsS7UNWXuiCol2+ws9f64Pi1jAc5LH+wZ/w9UtE6lwkg0ktK3Vroga6DQ3 ieLJ/lAYRpAA== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.82,319,1613462400"; d="gz'50?scan'50,208,50";a="462991071" Received: from lkp-server02.sh.intel.com (HELO 1ec8406c5392) ([10.239.97.151]) by fmsmga004.fm.intel.com with ESMTP; 22 May 2021 07:39:09 -0700 Received: from kbuild by 1ec8406c5392 with local (Exim 4.92) (envelope-from ) id 1lkSmT-0000F7-0N; Sat, 22 May 2021 14:39:09 +0000 Date: Sat, 22 May 2021 22:38:24 +0800 From: kernel test robot To: Jason Ekstrand , dri-devel@lists.freedesktop.org Subject: Re: [PATCH 2/4] dma-buf: add dma_resv_get_singleton_rcu (v4) Message-ID: <202105222201.JA73uS8G-lkp@intel.com> References: <20210520190007.534046-3-jason@jlekstrand.net> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ew6BAiZeqk4r7MaW" Content-Disposition: inline In-Reply-To: <20210520190007.534046-3-jason@jlekstrand.net> User-Agent: Mutt/1.10.1 (2018-07-13) X-BeenThere: dri-devel@lists.freedesktop.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: Direct Rendering Infrastructure - Development List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: kbuild-all@lists.01.org, Jason Ekstrand Errors-To: dri-devel-bounces@lists.freedesktop.org Sender: "dri-devel" --ew6BAiZeqk4r7MaW Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Jason, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on tegra-drm/drm/tegra/for-next] [also build test WARNING on linus/master v5.13-rc2 next-20210521] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Jason-Ekstrand/dma-buf-Add-an-API-for-exporting-sync-files-v8/20210522-201251 base: git://anongit.freedesktop.org/tegra/linux.git drm/tegra/for-next config: x86_64-randconfig-s031-20210522 (attached as .config) compiler: gcc-9 (Debian 9.3.0-22) 9.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.3-341-g8af24329-dirty # https://github.com/0day-ci/linux/commit/925221f402201e7b1f665619dda2c5ee6d6324f1 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Jason-Ekstrand/dma-buf-Add-an-API-for-exporting-sync-files-v8/20210522-201251 git checkout 925221f402201e7b1f665619dda2c5ee6d6324f1 # save the attached .config to linux build tree make W=1 C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' W=1 ARCH=x86_64 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): >> drivers/dma-buf/dma-resv.c:550: warning: expecting prototype for dma_resv_get_singleton(). Prototype was for dma_resv_get_singleton_rcu() instead vim +550 drivers/dma-buf/dma-resv.c 534 535 /** 536 * dma_resv_get_singleton - get a single fence for the dma_resv object 537 * @obj: the reservation object 538 * @extra: extra fence to add to the resulting array 539 * @result: resulting dma_fence 540 * 541 * Get a single fence representing all unsignaled fences in the dma_resv object 542 * plus the given extra fence. If we got only one fence return a new 543 * reference to that, otherwise return a dma_fence_array object. 544 * 545 * RETURNS 546 * Returns -NOMEM if allocations fail, zero otherwise. 547 */ 548 int dma_resv_get_singleton_rcu(struct dma_resv *obj, struct dma_fence *extra, 549 struct dma_fence **result) > 550 { 551 struct dma_fence **resv_fences, *fence, *chain, **fences; 552 struct dma_fence_array *array; 553 unsigned int num_resv_fences, num_fences; 554 unsigned int ret, i, j; 555 556 ret = dma_resv_get_fences_rcu(obj, NULL, &num_resv_fences, &resv_fences); 557 if (ret) 558 return ret; 559 560 num_fences = 0; 561 *result = NULL; 562 563 if (num_resv_fences == 0 && !extra) 564 return 0; 565 566 for (i = 0; i < num_resv_fences; ++i) { 567 dma_fence_deep_dive_for_each(fence, chain, j, resv_fences[i]) { 568 if (dma_fence_is_signaled(fence)) 569 continue; 570 571 *result = fence; 572 ++num_fences; 573 } 574 } 575 576 if (extra) { 577 dma_fence_deep_dive_for_each(fence, chain, j, extra) { 578 if (dma_fence_is_signaled(fence)) 579 continue; 580 581 *result = fence; 582 ++num_fences; 583 } 584 } 585 586 if (num_fences <= 1) { 587 *result = dma_fence_get(*result); 588 goto put_resv_fences; 589 } 590 591 fences = kmalloc_array(num_fences, sizeof(struct dma_fence*), 592 GFP_KERNEL); 593 if (!fences) { 594 *result = NULL; 595 ret = -ENOMEM; 596 goto put_resv_fences; 597 } 598 599 num_fences = 0; 600 for (i = 0; i < num_resv_fences; ++i) { 601 dma_fence_deep_dive_for_each(fence, chain, j, resv_fences[i]) { 602 if (!dma_fence_is_signaled(fence)) 603 fences[num_fences++] = dma_fence_get(fence); 604 } 605 } 606 607 if (extra) { 608 dma_fence_deep_dive_for_each(fence, chain, j, extra) { 609 if (dma_fence_is_signaled(fence)) 610 fences[num_fences++] = dma_fence_get(fence); 611 } 612 } 613 614 if (num_fences <= 1) { 615 *result = num_fences ? fences[0] : NULL; 616 kfree(fences); 617 goto put_resv_fences; 618 } 619 620 array = dma_fence_array_create(num_fences, fences, 621 dma_fence_context_alloc(1), 622 1, false); 623 if (array) { 624 *result = &array->base; 625 } else { 626 *result = NULL; 627 while (num_fences--) 628 dma_fence_put(fences[num_fences]); 629 kfree(fences); 630 ret = -ENOMEM; 631 } 632 633 put_resv_fences: 634 while (num_resv_fences--) 635 dma_fence_put(resv_fences[num_resv_fences]); 636 kfree(resv_fences); 637 638 return ret; 639 } 640 EXPORT_SYMBOL_GPL(dma_resv_get_singleton_rcu); 641 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --ew6BAiZeqk4r7MaW Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICO8JqWAAAy5jb25maWcAjFxNd9w2r973V8xJN+2ifW0n8U3PPV5QEjXDjiQqJDVje6Pj OpPUp47d64+3zb+/AElJJAVNm0VrARA/QeABCM33332/Yq8vj19vXu5ub+7vv62+HB4OTzcv h0+rz3f3h/9dFXLVSLPihTA/g3B19/D693/+/nDen79bvf/59Oznk5+ebt+utoenh8P9Kn98 +Hz35RUauHt8+O7773LZlGLd53m/40oL2fSGX5qLN19ub3/6ZfVDcfjt7uZh9cvPb6GZs7Mf 3V9vgteE7td5fvFtIK2npi5+OXl7cjLKVqxZj6yRXBXYRFYWUxNAGsTO3r4/ORvpAeMkGELO mr4SzXZqISD22jAj8oi3Ybpnuu7X0kiSIRp4lQcs2WijutxIpSeqUB/7vVRBv1knqsKImveG ZRXvtVRm4pqN4gym25QS/gMiGl+FTfh+tbaber96Pry8/jltS6bkljc97Iqu26DjRpieN7ue KVgVUQtz8fYMWhlHW7cCejdcm9Xd8+rh8QUbHt7uWCv6DYyEKysSLLzMWTWs8Js3FLlnXbhm dsK9ZpUJ5Ddsx/stVw2v+vW1CAYecjLgnNGs6rpmNOfyeukNucR4RzOutUGVGxctGG+4Zinf jvqYAI79GP/y+vjbktixaC7pKzgR4p2Cl6yrjNWVYG8G8kZq07CaX7z54eHx4fDjKKCv9E60 wXnxBPx/bqpwAK3U4rKvP3a84+Sk9szkm37GH9RUSa37mtdSXfXMGJZvwtY7zSuRke2yDowd 0aLdX6agTyuBI2ZVNZwxOK6r59ffnr89vxy+TmdszRuuRG5Pc6tkFhz7kKU3ch9qkiqAqnu9 7xXXvCnot/JNqP5IKWTNRBPTtKgpoX4juMLpXNGN18wo2ACYIhxQME20FA5P7cAGwuGtZcHj nkqpcl540ySadbDvLVOao1C4K2HLBc+6danjLTo8fFo9fk4We/IBMt9q2UGfTjkKGfRody4U sbr7jXp5xypRMMP7imnT51d5RWybNcS7SQsStm2P73hj9FEmWmFW5Cy0lJRYDTvGil87Uq6W uu9aHHJijtwhytvODldp6xYGt2L11tx9PTw9U6q7ue5baF4W1r+Ne9RI5Iiiok+lZZOcjVhv UF/8UMiNnY1mGEyrOK9bA81bzzlZCU/fyaprDFNXZNdeijjUw/u5hNeHNYH1+o+5ef5j9QLD Wd3A0J5fbl6eVze3t4+vDy93D1+mVQLvv7ULzHLbhtPyseedUCZh47aRo0Stt1o1yRIjznSB liTnYN5AMFCHlNPv3oZDwa1HuKKpZdAiWlUtRlteCI1ooyD361+slF1RlXcrPVcxmOJVD7yw b3js+SVoHrVd2gmHrycknKRtwx8OgjUjdQWn6EaxnI/D8zOOZxIjlUw0Z0GHYuv+mFPsNoVk B5gCS1FJbLQExyBKc3F2MumraAzATlbyROb0bXTyO8CUDiXmGzDB1pQM+q1vfz98er0/PK0+ H25eXp8Oz5bsZ0hwIxuqu7YF5Kn7pqtZnzFA3nlk263UnjUGmMb23jU1a3tTZX1ZdXozQ8Uw p9OzD0kLYz8pN18r2bXBYrVszd0J5oGbAt+fr5PHfgv/S1tySzRRSyZUH3Mm9FuCxWZNsReF 2RAKCqd96U1Hb0WhydPv+apYQHieX4LBuubqmEjBdyKnrbOXgGOLBoKCTX6UXJWzZcrakpiQ 9dPUUZVoGL0MMwHkRmQI/h/sVITIUKMo22RNYhPJImIkZQHWKSc7qIYooueGm+gZdinfthJU DF0TwJzAg7qTgyGJnUU4AHD7oAgFB/cB4IhTEFnxigXQKqu2uDEWdahA2ewzq6E1Bz4CNK2K IcCZjGMxjxEmVhzZACEMaCxfJo0B6KebSgOYTEp0kvg3rVh5L1vYKXHNEfVZBZKqBtNAgvNE WsMfUYQuVbuBEHvPVABmxxghsnOiOD1PZcCB5Ly1oNQa8RQV5brdwhgrZnCQwSa1gdY7JzQ9 Jz3V4BwF6lvQ+ZqbGgHWhAoTjfEMYklKmG9RxdjGgrc5WopcQaDqzjU0tQgj6AiNJBOn0AUD VF52IaItO8Mvk0c4V8FCtTKU12LdsCpMudgphASLaUOC3kR2mYlIUYXsO5WgoSlcK3YCxuxX llooaDpjSolwq7Yoe1XrOaWP4PxItQuDZ9qIHY80pp/FAJMDHEAUiv0ahhuoOBgv9YWC9lR0 1EAW7EoFYQE5YXzVtlpSZsf2jT51mjUMsIEgIbJt27yODYvmH4nWoA1eFKFzdAcIRtCnwY0l wuD6XW2DxoCTn568G8CHTxW2h6fPj09fbx5uDyv+38MDgEYG+CNH2AghwIQRyb6s06F6HFHM v+wmQOq162UAEpQm6arLXN+RI5R1y2CP1ZbcL12xbKGtyEBUks5H4PuwmwowjlenZTFEB5WA oFWBNZH1vxDEXAMgZUqV9KYrS0CQFl4ReQDQe8Nr69wxcypKkdtEQGiSZCmqCBxae2wdrg63 K05RDsLn77Lw0FzavHP0HDpSl0RFo1/wHM5WMFTZmbYzvXVJ5uLN4f7z+buf/v5w/tP5uzAR uQWPPuDOYJ6G5VsXDMx4dd0l575GqKsajAZc2H5x9uGYALvE9CopMCjW0NBCO5EYNHd6niYI nMLOiaNB6+2ORBHImFxglcgUZkOKGNGMlgbDW2zokuIxAFGYKueJkx8lQEGg475dg7KYxM5o bhwYdSG04iGK5ADOBpa1U9CUwnzNpguz9ZGcVWVSzI1HZFw1LpsF3leLrEqHrDvdclj0Bba1 +nbpWNVvOgAEVTaJXEtYBwD4b4PUtE0m2pdDr6MB/egNK+S+l2UJ63Bx8venz/Dv9mT8R0dL nU0zBhtZAojgTFVXOeboQjfbrl2IWIHhq/TF+yQqgzFwp/y4NTx3h98a8fbp8fbw/Pz4tHr5 9qcL/INQMpltZOXqlrA0eLBLzkynuIsOwleQeXnGWpGT5gzZdWvTiUTLa1kVpQhDTsUN4JXo Agab4JcGthVVZUKFUR9DS4uDwANUwTmlvfYkUbWajgBRhNXTCI4FckLqsq8zsbCYozb4BDiE tFWnInTpohtZg/KVEICMJoDKfF/B+QGUBUh93UV3OrDsDFNcEcj0tMXIEAe42aFhqTJQLvAd XrWmlYgzZMOpABed9O+Sum2H6UjQ2cp4KDoNZkdv2DjIf064jaJDDmVs5FdY1Y1EAGKHRcPT XDVH2PX2A01vNa3uNeI4+o4IXJukMP1oydsu1nm73w2iUGemXSLpPBSpTpd5Rudxe4ApL/PN OnHRmJ7exRRwZqLuamuSS1aL6uri/F0oYFUHArlaB05cgN20ZqKPwkCU39WXMwMyYRDMiGKU ySueR6qK/cNRcQeTjmu9BJzLo/zN1VrSWd1BIgdsyTrqeA0S1xsmL8Pbm03LnYKqhMYh+ESP rEywA0UY+DXW32nEgeDxMr6Gdk9pJl4vzVgeac4YEwEGbMcQX6NYncEb3R4NdqJuciBGJk9x BfDMJQL8lbTNNuAN2IL1qHOetgIkzIdWfM1y+hLAS803e8b/1amJ83RBAPH18eHu5fHJ5f9H 6LogEamnDxH9xkUY2a1MW+F/eJiMEB+2yakJD4M9WGj4YtJ768tjWiEUTKhfZ4h+dNoEczUM 2ohcJ4bVXdKBCwEdYQQUGtmDtiR8e94GF4TRbmSaHYh1TItZiD0RFW5oNfgmvJnrOEKhw82n k+BfvMs2qQd4WGqMelVnM0ELO+4uMDGZvkcbNBlTo6izagftgqt4ITWg8ZjS1XHujpeC1MvN dX96crLEOnu/yHobvxU1dxJYjOuL0wAtbvklDw6mfUQQTmFzx2w7tcbI7yqcjWPppXSgYnrT Fx2J9trNlRZoIkDxFALb0xjPYu4DIkmvcVOKwq46pgwxF3OsXYhY1g20exY1W1yBZwA36FUO YhkwO0Qcvys0VSbhLEt6lKMRpiKXsqloW5RK4rUmvZB1YYMnsIi0g4JjJUqYTWGOJBdtMFVB nNfihUwYdx8D8jN1YEXRJzbE8px1GBZ2I01bdel90ExGwV+7VOm8lG4rgKUtYmHjQRchZTYt IIm1Ggyqs9ePfx2eVmCNb74cvh4eXuyUWN6K1eOfWJXmrroGDOyCOUqXIvzf1otgFlh5FQxw /xGM1R5MFS9LkQs+JQFngaSH6Di4gDd7GpTFHggNhkpuuzZpDJZhY3yFCr7SFnnSiE/WuLGh xYempmxGAFdb4ea6JkMB11abq352Pi2rbAvqWsnNow2RgiUpvutBC5QSBQ9D6rhRMDRENUgo wdLpZsyAv7hKqZ0xVlXi9nfQO3Xk3YzY/IUCdHJJ3mJaxUENtE66n6BobndgkS2KapE5G4xo a9qxJI2y9Vpxa8iXhm42AEBYmsi2J9+y7anrWjhxRTq8lEco1JEx5gLTn0sBFC6qBPAMdpC+ 97Qi3ux4C7M0xUFKyBSKOs3O6NDcvZsWQUQj7DREX9C72cgjYooXHZZEYdp1zyBaSV1EaLGd arc8MAgx3V/2xF0gY3kARWvKo+sMf6dVV6OpE3hvB0q0DKfAHA4By1BKsyqfDv/3eni4/bZ6 vr25H9BzEPzgcVkqLyHeHhsWn+4PQZUxtBQfnIHSr+UO/H0RpYQjZs2bboFleHQXFfGGjAO5 gY41ZCdCpzuNfXTD/+i17KSz1+eBsPoBTs3q8HL784/BXQkcJIf2w8sX0de1ewjz1vgHBt+n J1FhJIrnTXZ2AlP82AlF2TmhGZjS+EYeSEXNMMBbDL7wCjQj93lhXm7Odw83T99W/Ovr/c3g wIdOMSEQhlRxzvAtdU3uQV6YgXWk9NnGo935O4cmQUHCGwFftTq+Oc1kNlo7ifLu6etfN0+H VfF099/oeosX4b0oACxZBnfQpVC1NRNg1VyAMU4Rwn1BlubWwl02R5mBXmPJes3yDaJJgJsY jsD2uxRc2G657/PS31eTW7mWcl3xcWihjKsoPHx5ull9Hmb8yc44DJgXBAb2bK0i27fdBYEX puU62J/rJKZGj7W7fH96FpH0hp32jUhpZ+/PU6ppWaf5RVI+f/N0+/vdy+EW0fFPnw5/wnjx qE64Mgp+kvtWGy7FtCEvB6qVxFYuhU+u/q8QU4EtyxbyVe57BJtbxfi7XKjSt0s5IdSusUqO 1S45ooUEAWCGEyvcjGj6TO9ZWnMvYFp4GUXc4GzT2whHxSQ8xZAtTffN4LcKJVXRUXaNu/kD KIn4yaZwIpWwYlFtxFTPbVvcAK5OmGjQEHmIdSc74mpMw1ZYX+AKnAncBDbEYHjma3vmApoP CZIFpk/e1LNFdyN3H324m89+vxHG3uombeGllB7jX1sC7N5Im9Q1xpP+Y4x0D8Dvw7FqCncl 5DUFDX4qp/nHpe3BT0oWX9zs+wym48qxEl4tLkE7J7a2w0mEbPUXqFanGjBxsPBRyUdauUBo A6IyjDdtWZu78UpK4aZGiP6HegTllwjzH9SuTWf4OJeoN6nrrgcMv+E+ALMX+SQba2ApEa9d 7jS4QlKft08H402CVy4M/BMJ/55L+C7wCtkt3JJ6N4t+1H0MMHwbRMjKqgjkqVXTPEeBIyx/ 0xx48fSVmeBkVj3H3YUs5QKCLnH/K1DWZDyz29TQcAecpczjmDSojHTfvC1lFUYBsBHhnQLS fRH9bNR7gbJeee2lYKrhaA35pbEWcxvVdZBse3dtWJ4uw0JVfOpW5vXwqVWQeOq6tDzJkeuU PNj6BhPX6Pbwfp5Q60U5oit3moCPNUhpVsaqrmViKgughiK70rK0dt5czeZRDJl2nmN5TXDQ ZdFhNghdM7h5aymI5eOXwqDTtN8BERuBXSMPROS+SUVGR2R7GNKv1BSimpZEwI6B9JDxW1OZ DNFuUOOy1EgoQjTl2VYcE8jpMJ3W+09/5tABFli43ORYDTRJ+IAo9mlos7RY+xzj21l84fks ASpjgJIJd/lHrTcq27hbQQnbQD1WGAj2XIA99x/4qX1QtnOElb7uFJB8nWJNQ8fSRgjbfJLf 44wpMY5V40EdHpnxC0ocATzn6qqdFQ5NMHiZM/sQ1zlx/0WQh0vUkV4qUI4tsK9RBLuRlEOG xwojgimMdOFGLnc//XbzfPi0+sMVMf759Pj5Lk2coJjfqWNrZMVcHR7vh5rkoejuSE/RmuBn 15g2Ew1ZtPcPgdHQFNj8GouHw6Nny2o1lm9OH1172xaqhVcp+z1hv1gZ66W65pjEgG6PtaBV Pn6RXC3eu1jJhQswz8adVXyh3sfLoHbsAeBqjW5w/DiiF7XVI/JVOGg1zBOsf9FvsT6ZKnv2 LsKAQk+3BlOZcbWQxNbN6bQ/XeMOCbggQAa4sjMHMV1kGInxhar3iQQ6KfudbmGbsV9aLouo PSWAuoxpC7wtqFjb4lqxosDF7e16UaZqqHvuM17i/4aqa1LW3cTtFTQ+5S/534fb15eb3+4P 9gcRVvam/yUI9jPRlLXBozwz4RTLH/ngADghnSsRWjFPBq2IktT4bnqrOh7HpbHaidSHr49P 31b1lGKc5S3o+/qBOV7216zpGMWhhAENKh76sIm1czmtWW3BTCINJvGj3HV4BeZHLLRMiyvs C1hNgs3Zn0Zoou1furKM6X5IkUGKBYY6f2kPC/0NwsK9p7/rtPecrsTmXfJShhYizm96ktO0 fKG8YWJOvVkYqzge2AhOh/eo4+uY+ejTWv7Nlb0IhvgzLc929XTSp4aDiHQei291oC3D4llt cN85F+ri3ckv59EpXa5pjJeLqHXc7FsJ2tH4xBD1kRkdFgQGlwgHWLVnV+Qna5R07b5UIXMz eJUdJ9aisuVt+M0ihJWNjUMDWlxkC4+LMerICxPESMTqan3xP8FixoHJ2Pp1m9QiDPQsjI6u dfBNRkKzIOxIoaKtVh6yigHKLoaPEebh52jHW1uovkuS5a4UeVZOO6hHDVZNYOYw0HOubF0e fjAdtgSGZ+mnT2wqDu/z7Hbi9UFJeTEcoQ3oWATGlg30pBIm1A/89Y21irK1SOQJTW8zV9w8 5PSsO2gOL389Pv0BSG/uB8BobHlS0osUUAVGqRRghADp4xO4s6h+wtIW3jZVMFh48NsUHT6g Gknt3GUZVszhE6YcEP4lVFatZULy3+5Nd0YD0fvvhe5c1WzJkhJE5Ogu67G2PKdudK2EM7PE m2MJ3tKbAAqT8YvWZ6/GpnD7t5zqXNfhb67Uud2MaBRFa7/Y5WTEJSLVE637+DH+0QqggoHD Dz4BwmFBp4p4pcgQtfLxRCWNtZX/WaPkQ1/Xlpdh5DfXoxBAw0yGFhY4bdOmz32xydukFyQj TqB/nscLKKZovj2MraCK3RwLziTodd1dJgcYbEnXNCHOGuXTjXWNjL8WQq9D7RYCFKMOXfnI SWZdh4s7bgDddCtqDZDsNF5NRwzu2QBzQ/dyK7hOJ7UzIiZ1BT3/UnYzwrRWsYIgm5FaYY2h jn7YylECExG3wzE6MTm1jcJNIc4XW6I9i+ksLIck+oMXyeUtRcbVIciK7SkykkDFtFEySCNi 0/DnejyaBCuLfiRjoOYdTd9DF3spo8UbmRt68Sa+NnlLNLq5ysL05Ujf8TXTBL3ZEUSM39Ka tJFZHR3XjjeSfO2Kk7o18kUFeB+gJTGcIjexlZmWtiD94LgfWeSWxk+IBf1ByMC3G0bVAwy/ yeXXePaiXeSjTePyHBUYlOKokF2QoxIw86N8lYwjYQ8rePHm92+/3d+8CVe2Lt7r6JdY2t15 /OSdFub/op+5mHg2gCSNI0i43zNAF94Xc9NyvmyjzudG6vyYlTr/JzN1TiADO8RatOeL7yya sfM5FRtzxjzuQJO/m2ZZZBtrxRNKZPkHCv3yUdSAg+kyzHzR3gzfHxzinEi0HQrNnZ7rkK/P +2o/DjYZDnI3NaOO6CTw/5w9yXbjOJK/4tO87kO9EinJkg59ADcJKW4mSInOC58709Xt1y5n vrSze+bvJwLgAoABMWcOWWVFBFZiiQjEYoVYUWuvTMdqXdyH2yAkK+mVAoUwDBi+bGasMvxl URtR4uOhEDx5NDCySHl6lA8TwMllpRXvCmjU6ynRJAzOeoEdIF2TnfTZhLMitO9ZBA0XnxRh EHAXhjx6n8Ud1XkcWQ7JfKdMrFOtZ/1Q4NHt30LWSRV2KQ8cmClYQC/mOXs9jakPXXB6+vIv I9TYUDFdp1XKmAMROhjbyhGMCFY/tVBZrQfpqNH03fRxGWAYBo6HpPcHkqRMf3ZBSFYWzK4o qPz7/YbsX+rXVN2i1lZNUPHIVOIoSMePGUxJXhSlK6ZIT3iBfvbGAAuUmUMw6NFhQvllKiMM XNqCWXsIQUQJ2aH9yveMqIkTtDteHB3RaDKLZrxFw9yU+hWkvxcpj5hUYxDhh25tV7P0bNZ1 6VgJRyoiKBnX3+rkKSupmBnlqTAk0fu0uJYsnwE0DddY5YDKT+QRHMcxTs9W812dYF2e9n/I oEAcrUF1FbhGqYRo4xCfkH0fKP0wC+3mce6HKGLycHj4+fzzGfb2732ENutBsKfvwuDBdU1I /Kmm44yM+MThejwQwN50CLpCvu/yYjYIdaM+zOGVLpIMQJEE9n5QYCpEzYCt44d0XlUdJHNg GAiq/ti0jLdrYvTIjuQQIjG/VREO/48zqvGIdDccp++BblycAxoRnopzPAc/JMQ3CM2XngGc PLgwIaPqTh6ocZ1OtLvBuFw4pdcbsKSGUxZLG5vv6L8hfaGN0zyPoKP20OvT+/vLHy9frNDl WC5MrQ4AAB+udfl4ANchzyMZLstoGlHyHKXCrQ0EyXVeXyMN1SfNvgJJS0NynAMBrr4bTVXi MtMcDnBKRhi7mBZEJ8MhPp49R2UyB2IVpuJ1wGTonEg7MErtTNY7L85gvSXMFEZHQ4VZSRbJ g8d6pmPrcc2aDrCgkWRwkS3RoCnczbFgGHkezaeIhZain6H9JSqW4zn8aFAfJWlVBHNCfOEw Q1IOGAF8vCucb0+Sk/rwsW+YH2DeouD25EvoOaDJQ9FkRLfLdHZaIxw5mptdhtV3Ew/9yArK g2Ig4Akx3UoOQzU71akjq93zCPXJRt1bs6eYH+k9YjpdNFwdDm88xJnME62mKNSWRZSjDbUo Ujv8HFzvDN9gL0QnizLOL+LKjY2oATtLcX0h3hQMuRVzKDgehvoPr40IId1RGKo6CcOjlQ7e ouJ9ap096UEU5DTJjgN/aoLTNZxHAmVThRobfKhqWkslmwoFFZJHxkKtWmXhgrb8ttjcx0mV sjd8fOrddqJQkrl1bkDtQSMeOzMWY/BgaCL6MIS0bI7mezHLlDH2aADTPxTefTy/fxAMZ3mu XeGspRhTFWWXFTm3bJpH0XVWvYXQHyi193yWVSyi50kXB9DnqWJXExCEmQk4WgSfvMP6YHwd AHJhPQ6pmYAzKHr+98sX3bPLKHcJHceURLa3sCK9hYVleQMXSKMUfEilA60THdeWCenCncAa q3Tj+wEyKFMn4X1ESHOLLi0Eacc5kM0iKlbt2WHAB2XOISV+2Iu3B+OzY9UYOrwrr+JUMZXT pCVHFL+8+QceEG/Pz1/f7z6+3f39GeYQjay+ooHVXS+4eRPLOECQK8EH/xMG5VPR76YQF8mZ 6/tU/e7SODK61YN5XjakwYFCH0v7ujiU9m9pnDMns7VaIeNmjGf47TYlQSTUY5ydEtgI7aIJ 4/LUa8imensYatvr+tHZwkCG5oHWhTWMIzGzEyT4tn3kIJ5TtwFg85AbpRGAZol2LQhuGBmF HtGncFZCnKI0nK2g/Pnpx13y8vyKUUf//PPnWy9j3P0Fyvz17qvchMaxgXX1no3YC0cHkqg0 xwGAjuvx5xFY5tv1mgD1lEabiPBvjVnU89lTMKq6HiNK1wjytuzrMydegbFKVz/WybXKt1ZH FJDsiUTt52PTbptf+kijHkpxzDMeTVOHEe8AA8zmTAeGDINSmnZdcOfDHkh1PkiyEmOCkjaz GWmJz4S2p9EerjD2TFyf6qJIBwZMY46kv8YUrFjppO37zSDmpu4Sf7tUnaW+duwffVYa4/gD sLRUBMaGUgYClokyM6qREC3iilGXxMkIKAL6Q94vJhnaHP4SMR3t3CDsypqOxysd9Em2ETHS B9+elRsBNWQsjbohtaeAQitTvPz6SA92vbygmQrEAWPqxjFBOqPLJntHR3M20F0GtkOMz5yO jytpHJ9S4tB50T3fSPFLH0YRxpWP/yHJBjPf0jyNVcAhgH359vbx49sr5sz4OmcDcRKSGv7r CvOFBJgyazCAdHe1xWjK7awP0fP7yz/erug0j90Jv8Ef4uf3799+fOiO97fIlJH4t79D719e Ef3srOYGlRr209dnDIYn0dPUYFqfqS59VCGLYvhCMvCpnAjnLH3a+V5MkAxc7WLLY8AN+quN XzR++/r928ub3VcMlij9j8nmjYJjVe//efn48s9fWCPi2gujdRw663fXpnFXbdpZZ6bWUMgq mreuWMktoWqKf/Dypb8B7op5HK1GeWyd4rQkX4qAQ6yz0nyPGWAgHjY5meunZnnEUsNXFdhF 2dIYF0Mm3hluqjFyxOs3WAg/pqsquUqnIUMwGEDSojjCRDraBdnWFRsb0VJyTKWkoagasD4q kmCMs0FO+1SE9hayw2L0g9NkIulAhC9stHvIOOFSKJT5Bm4RxJfKEXtCEaD1c19Np5wZ6Cdk JGPSBacndgV51OLTymwrjjx5iL40KYbWDuAYrA0Lwyo+Grbi6rfJD/cwoTtp9rAs02WjoXCl PZZgLAjpwSuXSmJ+dUQm8giTjqHk93PsojGuDyEIZEVbx+TW4Mh+YrAlKwxPduLzna8F2RkZ 2emsKIAldbicH3P96QV/dbCouf7yKYEZZqSiEIJXCY1pgnaGyMyUM/BTLiIxv3Kffny8SPb8 +9OPd+skxWKs2qEmgLRlRvwQVVHS2G0WybysQQBrQAaoJaiGg3rWQdnDBv6E2xOTa6k0FPWP p7d3FSjoLn36H2IkRVG6BoHNc3TZgSWpVJXDOVix7PeqyH5PXp/e4ar458t36sqRE5FQfCdi PsVRHFo7EeGwG8dElnZVqDSWhnAFmZwJqZT3dX7uZAKtzjMrt7D+TezGxGL73CNgPgHDEMBK YT4fQxbROU8HAriX2LzKpubmUobrNLPrr8j43HLFBkJFmJoSzbk/ouLVnr5/R+1oD5TKKEn1 9AUjemr6qFr5xsOAB9WzMHuKPl2Ww4wGdrtD6ERF4iqOnrQMZod0i9PojjGGBXfVgkou6Rjm qEUEYXdsW3Ng8C13922lx+pFMA9PPdBoKhaBXzmSpshJPO9Xm/YWhQgDv0tS5sgSgCQgc388 vzoGkW42q2M7m4KQFrzkUGRKgUvV5eQJLosDVz2sxYGDX1g7Kkvg8+sfvyGf+fTy9vz1Dqrq rw/XYVJm4XbrObuKeWJuz00Wnkp/ffa39+4ZFrW/pVR7EpmqcRrLZwaCfzYMfnd1UWNIYlTT 6q6HPRaYDtGnMPH8fS91vbz/67fi7bcQZ879CiDHXoTHNXlVLM+y0iICL2xuaYRYAcXkhZHH iCGBKkvPY3eteE0X07JmmtdQjy5Iszudwm/xejjOZh3dFvqOqTvq6T+/w+X4BCLMqxzd3R/q oJukNnsSZf0gKbKU39wTOl3kSLswTqClQrDxWTufDDVRJfn8NOKpNCJaq1Lgvd01VmEWmNs0 fUaRYzbjkbKX9y/kBOJ/gH+8XS8sgeLGGSYnmItzkWMKatduLLnxxeMwhEX/D1jmmiLArhWI zHUzQFE6PjHg0w2vZZrAdHeziQIzAjbVrVEtjLtOdj4t8er5L/V/HyTx7O5P5bDpOAxVAWrH L1dlHXk4j/bzqYZvAvdWkJlbaPVppOeOMG9v4ICbnNcON1fAwjFe10ZUMQCei+CTAZhFUAFY H7LBgBlyVpGYfq5FMjz6GDAVBsIOmqeFwVZRxcxkXS5AVxp7fIAq+YTWoowFpYnFEo1UI5Pn xUDE2v1+d7inugH3DWU1NqDzou//ANcdHqW3o5TaM5j1PnT7kMHp49uXb6+6329e9tHH1ZVz yWJK/WfAx7NGk18HITXORVGJLuVinV5Wvh79Kdr627aLSj1epAY05XYdYQjvUZNlj3YOeR5k GMiQ/iQnltcO/q3mSSbvUxLLQ3FY+2Kz8ohPAWd5WgjMPYO5JLiV2PZUdjwlw4uXkTjsVz7T 33e4SP3DamVk7lYwn8r2MExyDSTbrZb1YUAEJ2+3I+Cy8cNKD9GUhffrrSYtRcK73xvmh7jt YXhwkpbrW9lgBVz/Th3uoEJ1udErHXcnokTPU1FeSpbrh0nom3tZ/YY1AW2zqvM9ORvq5olL 5Npnt46Cd6z2NVlyAm5nQBWJ33jvUoiMtff73ZZaG4rgsA7be6LgYd22G8risseDpNvtD6cy Fi1ROo691WpD3jLWmDWFT7DzVrOF3kfu/e+n9zv+9v7x4+efMlfm+z+ffgBX+oF6Cqzn7hXv ya+w31++45/6rVejaEz25f9RL3WI2E+7DB0zZPqakj6l+4xsjnDoIxb+LRDULU1xUUroS+bg RoGbvj5Q/GUcnkwrNi5CGE+I8UZdnC2SVLVonRQnFrCcdYyTH8E4pI13WR6NoY4F2q/18sds uyASwwLp3BNVQFNtN8IKTSNbQY+IO2992Nz9JXn58XyFf3+lHocSXsVorUOrzXskXIDikRzx zWa0iWUhfOkC89VIPTXFLCkrl/5kn2CD/DXWFRR55HIVkrcVicFhHBvXs0z8IENcO5T23A6p rvWujh3HMAzZaT7LSyfq0rowKDY63gEC2CFNRD9JHB1uadA/Yb+BTeOCv4AhdLw6NHQHAd5d 5BerCgHHiWM/x2SACWU7JfnSP7WepJkj5Ru2c3EY6AOfmpM6ffR46xegccgh2LlyEOvyqu4d 7ezjQMPGuRuH20vZ1DlJPjOHRQMi4a7G9E5OPFxsu52/pQ3tkYBlAQOWNXJIPkhyKir+2fEN ZBu0ib4cHmZRXK3oZSDrdqNg8RX064Ayl5ufIoO66OPHy99/fsDFJ9QrLtMCJxqC5PBg/4tF NMMeDAhpmQRdgOOCi2UdmirPC7BLcUvvlsfyVJAxxbT6WMTKOjZvZAWSib0S6+AmKjjG5ukZ 197aaxcKpSxE9VVoZK0QKQ9pI1OjaB3b2X9gC9DnTM9c1GSmMb3SjH3WQ60YKOM9C37uPc/r rDNG442hrMPzBNPCtkfy9VRvEG6KvOamI+2DIzqcXq4K6QHgciqs4yh1bdmUVv0iwrWXUs81 +QurQIXBMddzsKF9hYMww+uJVgQGeUuPJ3QtjJofi3ztrIzeUCr7FgooroIu95ppwKGVWSnI KUs7rUyvZTT4TBZSlmFGoQtvjHmtT02O1gkwIZ3DpUYnuSyTBEfHsaPRVA6alD80tpUKMYpT nApuJu5RoK6ml+mIpj/tiKbX2IS+uHxIh54BG2/0yz6BiCIyWKOxq9Vb2Xje031qQcxgNC6i eRCt0cg82SU72aTOEFdDqd6edGoo9WmrFwGf2jbLm9eHyX1Mb8og9hf7Hn9GtbQxyRLS5SV6 GeZw8aAHd2efCvOaVK4b8nA8NewacxLF9/62bWkUypRGzzwyi2fc5/A06BzsCj/SIgDAHZuR t64i9iUzYTbO1ulz8lO28G0zVl1iM1t3dsmsrT2tl/ORbl+cH+kTHE2p8A5f6AV0geWF+eia tpvO4dUEuK1bTQhYcb2JTq4L/eFhZa6Qs9jvN/QQEeV4cVUoaJFWjZzFZ6h1pkug+1PMtlMe +vtP97Q1KyBbfwNYGg2zvdusF+532aqIzex2mQjDrsA8z4PX3kIlj5VZHn57K8cySmKW5gu9 yllt96kH0WKg2K/3pNZWrzPG6CImWyp8xya4tMeFTQV/VkVeZPSZZZpXwAXSyri0/4cDcb8+ rMx7wT8vL6L8Ale2cYHJSO4RLW5rBYuz0WNMrrhwWfahSuP8yHNLD89k+jNyYh9jtKFM+AKj XMa5wDQYhnK+WLzAH9LiaD4jP6Rs3bY0h/OQOnlPqLON886Ffohd7sxDRxrUMWYGe/cQsh1c Lbafzgw/950ZCVATbUW2GrFVtrimqsiYm+p+tVnYNFWM4pnBaDCHKmnvrQ8OBQmi6oLeadXe uz8sdQIWGBPkRqvQ7dkwEVWQ2zUKlgFbZDhlCLyQbZGRKBnHD2RHMCR6lcA/QwwQCf2xBLqR 4RJZ2AeCp2ZWXBEe/NWaehszShn7EX4eHHcEoLzDwhoQmRkaPy556HKwQNqD5zlkM0Ruls5p UYRoamk72Q/YWt5YxvDqDPbEL3y6JjdPqbJ8zGLHuzMuj5hWuoXoFO5Q6OW8WejEY16UIKQa rPs17Nr0SIes08rW8akxgwEqyEIpswTmTQbOCUPLCUckuzolIydpdV7MOwZ+dtWJOzKrI/aC SWh4TUVM1qq98s+5GdJJQbrr1rXgRoI1yd1rlavXTr3y/v0TT9SUO8JJ9DSs5e6Tt6dJU/ge LpokihxvSbx03AfSyTBAaYTmuk+PKaeFC8XaImd6OGwzWjeL/D8RqL13phGUBeLoHDPDar2y JNcJUdJwYRWQLZ2+vX/89v7y9fmuEcHwkiSpnp+/9v7giBmCGrCvT98/nn/MX9KuqR6lAH9N StVMXWwUrj6ZN97pVmLt+rR1cWZmpZke4klHaUo2AjsoMgjUIOQ6UJXghoCD7lzM8XkqLrIt Zf6iVzpJkhQyBtbTOae6eEOgK2Y6yBq4kQmhkILTCD1kug6vHfSfHyOdx9BRUtsb56Zm6Eoe kloMOuKNScMm7BynDt3ARMXq/X2V+Gv6CNAIM6DafNos0oWhv/UXqViU7HyHKKxXxva+t9y1 sPJX9CGkUZ2uLlvJS9aivp4+VptPvBZN5/CjUq/JVsXa8Tp6bGuvjVxExEP62/efH873ehk2 QrMswp9DiAkDliSY7iM17PIURiW+OZtpOCQmY3XF2x4zere8Yt7ylzc49P54MozB+kIFZqwy 4+mYGHStbygx3CITcJWAJNT+zVv5m9s0j3/b3e9Nkk/FoxG0QkHjC9m1+GKdsdrUu3zjVclz /BgUrDJegQYYLGb6StYIyu12v/8VIkpSmUjqc0B34aH2Vlt6oxg0u0Ua33Mog0aaqA/1VN3v t7cp0zP09zaJbXxNU8hYSPFCVXXI7jce7XCgE+033sKnUDtiYWzZfu3TZ4ZBs16gyVi7W28P C0QhffxMBGXl+Q714UCTx9fa8cQ+0mAAMNR5LjTXi7cLH65Io4SLU5+keaHGuriyK6NtIyaq Jl9cUQUcZPTTjrYI1rDTFj5wnfldXTThycrDMqds68VOhawEoXWhxSCk76fpK9fAB2YOlZF2 ZDoPXTgtMa69xukMkI7lLC2OFGJtHDkTPKKkSQ3NyWJhEVT0XT2SHBOfCqs34SudyTPAnRks f8I1HA6QrKD0VyOR5GiNGIwjSvAovmLEvopA1lkUEmAuNaNOROebAUFH9JVVFSd9wEaSjB3l YwfVU8ygWFSBCxUw86FmwmLcPYdp2jTUK4/gx62+fT7F+alhRPtRcKA+G8visKCGUjdVgP5H SUstS7FdeR6BQI6gcSyDtmSUXnXElwIp7BhSBLpL6Oe4ibStHI9pA0UiOLunnvDVVpX5CgxV hYJgRC60dgkdYdV0Kl6CVLNEdWI5SBr0Wa6RnQP4sURUYgIS0kelJ1KOGLDEQRjd2FybPG0V qzehNCC6o5Vx1YcLmNrXKFgkdvsNzQOYdLv9bvdrZBRLZhKFzu5UwNR6jvhXBiHK7l1m+jEb BA0wQbwNOXUu6IRBAxKTt6YnUCL9A41E2RmT6/Ew36+9vasnOtl2RXOABv3jPqwz5pEvAXPC o+etHP17rGtRWo6SBIHhcULgDceTOX6z2MJmqYmNuw30pCpN9bKOPrGsFCfa3k6ni+Pa0QDs wJS1rvoVlvCHomjbcG2ZLujoXjJeqORYFBF3ducE12pM5nPSiHjKYdU66xD34nF3Tz1YGP1o 8s+Ojxqf68T3/J0Da1yzJsb5GeX51l33qxXNk89prSOCpARRwfP2pN+SQRbC1bhybKIsE563 cfUbDqEEs7HzklLUGZTyh6senrX3TdrVYunc43nc6vFajCbOO893tQByyizaEL3io7pL6m27 olxzdEL5d4Vuh3R35N/AAzquJnk207hrVO93bWs7vRgkICk6HrV0MrxjMYZDIVzPCeZC8Na7 PS1/zkbG/5exa+mSE1fSf8XLmYWneUMuekECmYkLkRSQlZQ3earbNdM+40cfu/pO338/CkmA HhFkL8quii8QQs9QKB785B/ea6KhEEsH0WEcDjxv2lg/JQc5/CSM+V65XOl2IemtRi0LjT4r dGWYjkACLVLGGOqmooQvg234Bxv/MPryHIBi7KAn2DSwi0hcGtI7zTBliZ6ExGijbkhiL51w 9GM1JkEQUt//URxf7m3m56be9/Xt6RATK1F/PjElkJCvqh+HmDg1GzWq23okFDbqWFyjS1HP anu7FyQz2BRQrCOBpDFMfBfQwQutAjjFnjuCHpTKM87m1w83ihLYlNBzKnUIceWHAvGjtwRj Y+bJe7KXH59EqLL6l/M70EkbXsHG1yBu2xaH+PNWZ14U2ET+r/IBXe/tBFCMWVCkPu4wCwxd 3ltKUUUv6m4IyMf46OSwXQ0jwrgkKe8BhJmTmIxnaT7QFxh33mEvlMpNnX6xGg2Ox3bTzLRb O8QxrstcWBp8OCx4xS6+94CLKQvTgWW2JKPuarEBsnjtYXca0ivwj5cfL7/Dharjaz6aKcqf MI0NJKHeZbdufNZWR+nRSxL5NOfiwq9BvMSDaUrhqnkZzyo5o4qV8+PzyxftWlrrL35yFQnN C11doYAsMH22F+KtrLoezLerco6ohfNJd39jGM+Qn8Sxl9+eck6iVKk6/wFUWZgOTWcqpPMd UWmWE7XUo/3qQDXlPVV/JqQRbLXUudpemKYNv0YY2vPuq1m1sKAvEunRS+KmQGfMh67iHfJE xMg2muJqhTw3wbuv6scgy7CLMJ2p6QZiWLDaWd04BKHtVFwaZ9Fuv397D49yihjLwrYBccpV RfFjRUiaW+kshNGVZIGGtI1cTA5zn9WI2ki0S/1AhH9Q8FAfasJZVXE04EaFZ1GbyyiKdiJM R2YOP6mHlBBEFNO+YEm4zaK2kg9jfiRNME3We2zKMKgb7nLmhDpSwX2H38Ur+DDwluzuvUNw 1e2hqaZ7rAUY4PGuERH+uaxIuIbOww9kPD/EdU1zJ3W20/USlstY0K3xx4qxX/Iu2GW2fFyK 0LWEP/dywzWO+BVRezsSA7g9fzxTxuYXMPQiShRRSfm4bzdWd7gxl9FEXbr4XF64LVJwEpjo tCOuLxYQavTaddZVu3KxLlzX7lki71gNWuey0W9TBLWEnwpy1VmAiCcNYeeMS32BQCwRecVI vUsaocnrHTg0WWUPtVMopMvFTxOAXiHjV3nG889ClSDg/PmgRSE+Xblo2Za6AdZCEgl4ucjH KhS1LLBWwPJJXYF9HqH2uyuHtK5EyCqxCFJowQcOcUmwMk11d6qI2z1IGcpnOhHF4GoF5ld0 3nPMTLLIKQ+MsJttn6xgNesz9nA/dagpOx+Vx+JUwd0TdIoxQQr+02HF8/4pIBj/2qR8WW6e rXi+M43v3Ogy5YrE2vFMDZT+AoklOkznarBATNslSra0cQkKxKrICM1UdCJRB5dR++pY6xIu UMUFNGRNN8kyoKhFO3FWwyaHE9llmuvC/vry9vnPL69/82+Feomgi1jl+Ka1lyckkUywas0c wKpYKn7fCst3W+RmLKLQS1ygK/JdHPnYmyT0N74yzDx1C2vsRoV489qFl9U/e5Q1U9E1RtiW zdbUn1cBzOG8Y370wIzNQjR8czzv17whUO5y0IPg02tvKXPed7wQTv/j+8+3O+HxZfG1HxPb +YInuOJywacNnJUpEXlUweC+v4XfGCEQAV47h2EdHAo8KIAEGS4WAdjV9YQf1gFthdaNrpR0 zOKj/UKyDPUQxzu62TmeUIagEt4lhJItgDxHhAmmxLreTUcAaw41RoaCuRk6xDL2759vr1/f /QYx0FXQ2//4ysfdl3+/e/362+snMN/+RXG95ychiIb7n3bpBazEpO2ZnJJDfWxFUCjsoEXy EhGdgK1i1ROmkQLMzPw1U24iY4pKvnbu7WXjTJtqiQFV5Pfr3j+EdJ8ONXMyWGgwkcOk+ptv Y9+4zM15fpELw4uyn3fUKqKeuaP8A/KYnwcu2Lnn2/PbH3KxU4VrQ8EseF0uNeJByXuzkopa 26yWsBLxmGBD5RWSowOiNtLxCBcWWHXvsFAZAfT9ffnYUI+xBznXOGWNL7+KVFcNwI9YT8U9 FlaD+BCKbGrYycRUn4MFDZUpDrClkjpNCIJSR8eXDfbyEwZUsW42jukuPCUP0mZJ4GsD/0vP UhPju94+txz3gHwZ4fDQYJZPgCMBOjQy2PeXlFembIt5ASFZDng6UogoO3U3OHMbN0EAOKda TmtY6t2aBrtzl29pVII/i4h0oFSt8LMSoVngLGc+i+sWP8kC3k15MKGqMQ6Cn6XpzwHUofAz vk95gV0dVxekDx4r+DPQJvCfJavmrm0G/PG5fWTd7fi41a1ckHAWLzF2NZkN08tBhS/uugqP zsFe1fi3Rjv/sU7joqPO5w5y1jhhOg2usamSYCLUgFC2vcjp43eJD6w9wrABe9K9afgfxsFC XjkNtRU6fCV/+QwxJ7XEdbwAOG7oL+46JM3I2PGHv//+v7bkWon8n++Uqxu4PLTVeD33D8J/ EQ6Bw5gzSLQACUN/vr6+43sP380+iZwgfIsTpf78L8N9zXnZoiuRAr52uaMS4ijgJjIDa7I4 pxuHF40fjgOHC3/MvFCAkvhv+CskoJ2lYUuhTx1zrfIhTIPAfIegT13g7RC6qZmYyWW+8xJM /pkZWNEF4eBl5sHUQY11zkZdZOCdZ+qWF2TyY0KpvbCM7ICtT8tr8ylNk8BzX9vlDcsHl94/ ZF7skmUwDKyWi1/bbSAF1pl3nz+PfV4Tka4VU3Gq+v75qa7wq4uZrXnmG4ubIM3u66aE8N0P RFK+uV79eaJ8D5Zq5W17bu8WVVRlDpkACT3lPNaq9qnq772yah5OcG1x750VY/U47C89kahx nr0ilNPd0mre1fd4PsD91P12BYZDXTW4enrhqq71/doPl7avh+p+l4/10a2azATx+u3158vP d39+/vb7248vmG8vxYI0+uOlFjYkF0zpBlPBEFQUgZ+YhrEDh9qmhoyqsR/MHOeDdcqSiWgK fTmZS6n7R1P0kGulLVGJEobn4YCZPEvNlaEJW0i3J9+iruk6dKrwDvJW1ZnMLvD15c8/+SlX LAfOwUc8l0bTZKVCk187i8PmJ/AVu8P0obK+i2yrU8tr3u2dguASGL8qEafZEf7zCI9OvRm2 z62SsycUfwI9NdfSqV1NqGYEKCK7PGFWQrIn9lky6BZTklq1H6XpqDUmcpbHZcAH83mPK2Qk G31/qfAzvj/NA68gVjiBP01ZjBnTCdCNVjCPhNvBbqZZ1UiPPillcVnnvULBHGRjfPpedIP4 AFFmjytAICrgzU9whD9jAYfUzzK7Z2T3MHcMjBlu9y+bdGuEcDD00aimAr7WLQSNdt54Hfyk iDK0STebbFF5Cerr339y+dRtSuVc6vakpMNSRtU4L02TE9lwVz75MC8ZbUHysGUqcCaHpNpp HaTNE6jSCc3TykC4qyqGQxanZG+MXV0Eme/Zuh6rLeWyeijdNrZaU8QnxiLQCXhfpl4c2AOz 6bI0tFsFiHESI22lBEnrM4UcSX6l9GS0ChPmnYHvjgkBZMlGo3F8p9sZyhEsrJNd4m4XGVcR bjMuqXPvNe+GSl428JgRxhWy+bhYRaQ5UoOlnleVTaZKcgWE0Rxw9WURBoSttlwmzmX+BO6G +Ix3G2M53G/Oc76l+0nkDpvQ3zl9I2ep7/Q/K8IwyzBjStkA9XAeeuepqQfvHSLpmVtt8TlP n3+8/cXPx9YeYPX68dhXx5xIWSoqfC4eLp0+yNCC52eu/iwp+e//77NS6K6akuXtV1+pGIWr 9xmbDytLOQRRpk0JHfGvDANMOXOlD0dD94xUUq/88OXlX7ppJC9HKGFuECvW2NkWZKDuxhcO +BrUxN7kyNDiJQTxUko7CTLG6od0KZg7hsERkA9nhNeZ8XiIjXKTwze6SAPoaofhregxGdHk IlvP0jcgHGnm4dVKM6K+WWV6VJiYn6Lz1hxiizYCLFcgS5fpeaqRlTIIPyBqbLSqwmKCX0fc CFNnbcYi2MUBVSs2JlQ0Bp0NknM0xHpj8ok6aWoaDZRi9xaGWAD1lUg0zAzTJsWNYpCbi+GQ fOFw6brm2W0QSd+IJ2Wwna4MDRHYlblkNHYDdTjLy+K2z+FGhMiCIuSFGywRF+ymQeFz+Yoq 0oxbNFDuHsFqgQuzXmJsaKoCt+IaeD62oM0MMHcSD3tUTrc7j+rTzqAHLn3YGzY/c+05Gb80 E/FaaXwudv8YpBN6TyJUsJPbU0Dnsv/hUjW3Y35BY83OpYNbYepFnvs5CgmwthMYJQfNH85l dN5tIeZXNrPwcrKd7i0zAyAnmydrHTGj6VgMtppmfZdo740nmzFMYh996VhEfhLgqtWZqaxG cVEvWidKCBsU7dO5zL+jwtRr7bNLN+rMR0fkx5PbggAEcYoDaRhjn8mhmBe2/Tp+5PCoh3cZ fmbTeRJ0LC+zhe3DKHVHoxjHciOIkDk5G+O6SD/Gnrmnz6/qx12Eqkhmhksx+J5517h8iDzy bX9sudvt0KB3Yt3VbsLgz9tTbZl0AlGZD5yQKIbtyxuXfzHxeskNuK/Hy/HS4zoohwubqAtT mYa+dv7Q6JHpUWwgeAOtLAwiJGy+Fjhi7L0AJPiLAcJjKhk8IX7i1Hn8FJt7GscuiLCkjOWY Tj4BhBQQ0YBPAElAAGiqSAHEaJudRkIvu3BwyW8rcWU+FGkS+GjhU3075OAV2vLjFhEQV/E+ ZJBfZbsmrIQA5/0RNcdY0mJ2TWWkD14rCkFPMTr4BKH1H6due6gU/J+87m+FZedGMnbD9pws h2QzTSik9AyQQVFWTcOXUIZ9Rh0/QDKujVJBlerFB+xhoWUNDkSa0IUpDtOYclCTPMotnQgg tZQ0FCeGdsZh5Gfpy5iPFaYWm7mOTexnA3MbiAOBN6Dtc+RyIqbi03BktilDvdZFTvUp8UNk pNV7lld4F+1ZV+HOYooBLjfU5oF0cIxGKdYGXwWzC6nRmKVYiR+KCHeilTAXPHs/MNWWa6LP tspRyXPhEHs5uhxJKCXjYth8pBmOzrfbXuAkD+UItfBwYWtrwwKOwKc+KgqCrfYUHGSLREGy 1buSA1kTROAQH12ZAQq2djhgSLwErZLAfCw+ksGRZHiVdilKD31pbYK9jmOoYkdjSdBlUQDh jgAiZFoLAMvDLAC67jt0MrCiC7cFnbGQ4RqcR8duCMIs2d5/WJ/yZW1bfiv0TEbLoGFJiA43 Rly+aAxbr+MwIrRxKtJwnIoMkYZl+LrCsu0XZ/j8YdnWOG/YDulrTkWGBqeGKDUOQrQLBRRt rhqCA2mxrsjSMEGqBkAUIK3ZjoXUENfDqIeVWPBi5FMS+QAAUqzXOJBmHtIQAOw85FDQdgVL pwlrC3Fvt8PaomOWz9TyCHPsnhFJPUjw47bBk1JOpCrHetXcusPWngVJ6YvDoUMrWrdDd+lv dTd0W7JJ3YdxgK1SHMi8BGnPuu+GOPKwR4YmybhAhY3HIPaSBAFgn0NnnARWNSnKEmY+MkbU PoEOf7kLEE4zGlPg3V3dOUtMbWR88c2ww7zOEkURvj7nU5YQIZoXno63zvb46ViSJtGIqZgW lqnimyZaicc4Gj74XpZviQh8O4i8KEBmI0fiMEmRTe5SlDsPO/IAEHhoZaayq/xNYeVjk6Dn qO7KlDzsFDrsR9yOfcb5KRRdvTlAxDfWOMK/t4su0JGDuEXZZypWcbkDlY8rfpqJNvddzhH4 HrLcciAB3bWLQB6bKGV4bRW22+oZybQPMSmFn6tAAQeum+yMHFoEju0rAgiR9WQYx0HOSqca LElQ1U3hB1mZmRYKKzqkGaFYM3jSTb0Rb90MXWPbXFotI6s35Y2wMoTouj0WKbJojydWxOjc Glnne5uTHBhQuUwgmPJbY4g8dOgAcmcScZYYDQM3M0CunaK7qEOk8zyHkyzBHQEXntEPCFOP lSULUB/2meGahWkaHt02ByDzSxzYkUBAAci8FXRkVEs6rHzKyN/5LM7R8C1q3JINJE/S4t/G J+YJ1c5IrDphOWsXntmMZ9P5cplA4BAuLpa2Z+L44PlofC4hg+ZGQygSpMZo8BAWM8cw5mMN gZL1+HcKq1jVH6sW4jqpe1bQeuXPNzb86rkvc644HQ7bJd+Cr30twhffxr7ucDl0Zi0r6bF5 PD/xT6i627UeiECNyBMHUAwOpxwP/4o8AMHCZFhvt5XMAnF8qSIOgyfcTbnDIbDxdufDIOFv TmQsn3lMC+XZBg4bOdJ5ZEacm5D629vrF/DN+fH15QvqUgxhNCD1260cB7IYMSc4axh5053S gAUrZ7Gw2CzLrlhXnDYLw78Pv5lHylFcc+CStclnyhycab3Cn4H2fM2fzxfMPmPhkcFcRNiJ W9XCVCmRV0BuCeFSxUvj89SGhRn9vDhdX95+/+PT9/951/14ffv89fX7X2/vjt/5R3/7blly zY93faXKhrHp9OxSoJPnZV3RzocRje2y3n3LK7+tADBinIZIS6sB7ALSmHKbLIMrQpTLwgrf DwboXrLbrve1zEeIQrtlrLHxTSrKlFvHj3Xdg6GRhqxXoMr1dautrkiZoF0LJ+xty/LgQrzv Lwg5Lx4vdV/Bp2vE8gmSbfH2lOTVZqKpGYSlIFsKGFLf80mGal/c+PE4shkULC5Xssp+79BB 8kEuQxIXR7zQQz12RbDdydWlP8+fhby83qf8JUZLwC3E0Osz9cAXdKt2dRJ6XjXsyY+uKzhN kCj/rA2Qy/DBgaoxR+3anLqtATXwY4X9kUJN5od2Qe2T3eAKSDz5NWsJXNyNnT5jEApZ+gMQ 1QeWMN2n7keMj2zKErJVQMQmJ6sSAYl3cjhL04NZf07cOURIoPzRJMFAqzp+MAzRCd3WOy+k O7qti9TzM6JiEMEtD3z1wtkq/P1vLz9fP61rc/Hy45OxJEMQ1+LO0jbimREHSEdxHoZ6b4S4 HPbGHxA2To/KJZ4qashjiD89oyZRZuIDTMQz1J5cR4zDhs/2lY1wb9oXLEfqBmTzr5v8iqIm uBccI3NJySKvlbeA4dDkhtmNxg05Z28FawnUMJOWCFi7/KpHivrvv779Ds7WbsLQeWwdSkd8 AVpejNkuionspMAwhKmPnTJn0LyGgsxL0quGyG8oHsvHIEs9OtyHYBLZPiBmgxUQzeE5NYWZ XQQg3lDxziPcIQRDuYtTn12fqLKF1aC2GCw0O0Y9IAwCieGtKJoEJBvCkwceBzgOyAtajYW6 611YMB3dDOo38wsttL+FU30iTx7Ax3yswPt/uB3ReOGiOQofEr47rSTJ9nciHFgTd0ESYPeo AJ7qJOJLZ8d079DTCHFzhrowPhGovPiOcAiG0uR54/GS9w9LmCGUuekK0mESMDLO1XLSEqOj OI1wJqE7X/JD/FuhcvgnfFSQpZWtY8VtP+E7lc61wfE4JAE9qj/k7Ue+sJ1LovWA56FiuCcd gFnWsczUvK9k/JJhwRMiaoGcrZMfxajRmoIdP7OVHmN6nBXOEnOOzQasaGFZhOkRFZztzAQO Czmg5riyg0Uf2uHKYoGPSYgaTcwgUmTVHgJ/z7AFoPo4zWkjjGcKIBJvgcOJ2W6zWbSxuyga mU10YSBnrHiZ652mo44lrKAW8Rijd+oCfchMbyBBbOMxIWw7AR+qwtkCdbiO0sROFCIAFpu6 64VIiUOC4eE544Pe2K3z/RR7d/bhYWQdWcXZy8N4YoSgPmEYT5BmhOopYGy6cEdOAGnAjpTd MCy2pxgyVjgR8NT0vdjMiiSyeuC62DXhh/lOQc/wi/OVgTCcWhgCn1pv4KMsL1iNbPjBaqVl CDVL8Nrv0A/W4IB4zBE4MBYj2IxC+LIdGoN0vDaRF24MNs6QeNGd0Xht/CANt6ZNw8I4DK36 LB7A5jeKMyb5Lic0gDl4z8WpzY85do0tZEXpDO0I3JK80awzh9OqxRClTRCZxCuLfS9wab6z ewlfZGoICjCzi8ki/epa0eT1iF00qMfob1IMVoC0GYm97UelC7W+soq0OGXqZ9OEI8rR3FyP l6eIi1O53IFEht+8qeXwQAsW16LchRGOCy2gys13R+Zivnez9lYzli113lt1fatxylqBmUiG FVw5DvUEmR/OzZgf9cQ/CwPEwb7IIPXDxQoDvXLB7Ye4/Fj4Nt/KBbejXMIwSImCDgRn2Exf JDWojMNdhtdtw0lTYxInvs1KO2ENDEgNUawTnFBfFBPu/GQw+ajZpMES+GjrCcTHq3jI2ziM iUXQYssIn6aVjRBOVgZ5iMMqKZGn2MrltOD10Pw/ZdfS3Dbu5L+Kag5bmcPsiBQpUYc5UCQl ccyXCUqWcmF5HCVRjW15baXqn/302w3wAYANKnuYidW/xoN4dgON7uXMoBEoXHN7YRnCO3Vs KJaQZhMai03Xhb/JMywBCtNsfFzxvZ8c1b1UYMiZfPgnsYj9kMwaoPliTkGoNLmeCdI8vCmY N3fIwjg0N6YS6g8NubYRWppSacqZjqkqmoZ601szVbDZ1JN9iak53tDCqSn4wjNVBECPNGmS eQoLZFHD0EwL1zE495CZPM+l34WpTAY/1zLT/WJpOAeUuEDBNJi6qEyGt+sqkzs+9DttdoB0 ygORMfrZcUi9X+EpTKmHD3wptrV3MEQYkpl2nyNTICKJbQ/L8fyXuG4u25zLoNxIXA+0T42e o/RZsUKviuhHVQnrbHR/KyVGBXu0/VG6o9u/rByTM3qZCbX+m0zp/uZ4bhXtW2zJBq80xwcV g6ymc5/+LgA92yRsqlwL2ran50KzWAum2G02rlH/Aps9uzn+hN58c1q3evloS3Ema2ZY+FqV +XYW0KDU6iBp1zSmOIRSsFYTHorQqp/bHtBdSSmIQwvBkqepFhueLvWqRoRxEIIo4C4uckMc KsFFcPCLp83749v389MH5Z3Z31AHffuNj+FK+uo3BNw7MSgD+8ua93kgyB7iCl2x5vRhXkgE dvOB1gdM7C2NJDKnr98fX06Tf358/Ypu0fUIi+tVHaRhorg+B1qWV/H6KJOkv+My5eENoNVC JRW3+dlHrGtLBQ3gv3WcJGUUDIEgL46Qpz8A4hQUs1USq0nYkdF5IUDmhYCcV9e2WCsYPvEm q6MMxgFlotaWmMv+mIEYRmtY6EGBlK8usSH84C5Ro0cDFR23NJFX1GyqOOHVgv2hu+5Uuu17 G5OAMD/DdorL0vAmBtAipVc7THiEjcqmF2eA/TLQWspncYJRJ00ZximrjCAMdIsSGxGCQaMV lTkGYQmw7YbWbQBCw7JBJAypG61wcGOHhfGAKaY8y3hvxOKFQy//gCWRN3UX9BkMjoeBuzGl UD+MDKaq2BHV0TKc7gjUBDF6F0LE32svdBU0Ng4wU7AXbNcohzkX00fjgN8dDS/kAZuFhgMo LDLPwzw3jo995c0N2y1OtzIOI/MY9g3upPlUMmYawMILq6hh1DU3GdKwWaX15lCBsD1V6EPH JbyB+RmUuphEMHiyPI20kYyuaemHC7wT0yJRV3rGYEKo92+8wgtLWzWa/YXcTvh6tHp8+vf5 /O37dfJfkyQI9Vi/0pIFaB0kPmNNND6ist0KqjDKtew57qrQdumO6ZnEcfkNJpNw33NwRxI3 eO6DPK0fEkPg2Z6P+Vu/pFwM9CzDY2ipKiHqprTHKoVHdv4hfWt/70g11nw29Y3QkkQKz3UN dTUe1kit0d/bDTDNNqjPdu/a00VSUNgqBAl+QSGwrR2CLDPUVO+2ZtzfGN3S4M71wD1NDgM5 sk/D8l02jA6yjcNhKLytLHPBj97dWFVG2abaKiYgcVj6tGf/HeZOAZhnY0E+qBF7Oz1h/FRM S4gimNR30O6U6GkOBqUcwaIj1Up8TKQWhWoxx4k7EOpofzG8IaLkLqakNwRFnAO1kGAbwy+d mO82agwRpKY+2lpTHmZ4Gq5AaPkcCxBCmJ4R9Mcm5771jd8RpSBp0o9QOJxEtKEYBz/fRdoH baJ0FZfaoNmsVZ+hnJbkZZwb5Ehk2IMYlIRkIJcYDVyO/LRDz/buSK3viDz4SZUXOj/GomB5 ZpAZeEWPpektCcIxWpurnxtXg8H0t78i117Eqoc428o+XMT3ZRg9pMo1ehJobgo5UXUdJEhZ vqeFHQ7nm3hk5nApKoXeGXxICq1YGgRFgR+5TaYhY9Be+JBU68/jjOAbCI2cY9hcfYSlu6SK yb7PKtNoAeUwulOzKUCvgFkKo1AarBJxsEgUUeVjYBKNiiGkg5AkKnqsTJcVNuULWgboUPPE KDD6VYljdpTnyN+xGcdtUYJ+qn0M8+NBOzE/ZTs1Khkno78qw0M6jleRP5jzQIwSjAhN6kuc Y5cViRwSlA+aNNbWEzzhBOVQjSbREseWM5b6ZfV3fsRCTNMx3udqcbBssCjS+rjawvQcfGG1 xSi4w2B1EssON8m6YDM97UMcpzkZxR7RQ5yluZ7kc1Tm+qeoDMcQtryR+SreUtbbHeWai2+D SeNvovW6TWzKfaRWRYboCuIxYPnuazCybBly6g1pD4K+kofxQa6OXqqeqLkSkl7qgbpjrCc3 E8Co6gNxRXkMp2chTsjScMLWAmDE2V0Kjb0250wmb0HqC3dsVefbIK7xKCeJmuOkfpAi3h+M 9ZIYw5OCENVS+lkDMuwSHniQHlfIAH9mpptnxPmjsa3P6m0QaqUbUgjjft5iyISfKgl9Hb34 /vPj/ATjL3n8SUf5zfKCZ3gIonhv/AARpcT0iZW/3ed6ZbveGKmHVogfbiJa86+OhSG6KSYs c+hQcUpLHyGTFqIpyHJVLEcDbyna2wYeTIVdz0//Ug3YJdplzF9H6F56lw4jLsm5bDH4MhkP c5hrFa/TOjV4JW6Z/uYiQVbPPINVUMtYuuTVbRY98E20bwr8JbR7eTz21HogtlBMXPiAPTqn X6ZzzlWJW3sG4jjGpw8wsHs0VLdQ8yMan+fgZ7Op7S7pcy7BYYi1LEB07UEfPogKBul8ZjjO 6xnIK1/RFOV0ajmW6nmVI1FioSsw+oiXc/CDkanWLZxoU8TZoAg8ESD9AnboUo4Gw6nimlsj ijAw9qCAhm5a3TiPekIgSkarW4cgusMiksKdkodmLeoSTlI6TLbl6Yn65yFxThXtuVPKCqdF hXWwRvRUJ+bNhIj2GO4jpp579y2pntHI9NEWRp75TO/I1uARJNudPrdB0LFsh009V+9oOVAG pxBOpsS4D21vOmyz5lkJc+yRcV3N3KXeB4TdCadXgY9Xr6a8qiRwl9ZhMIp1M5xumrj/0Ygx m1nrZGYt9TwawD50vjj6dWjy9fI++ef5/PrvJ+t3vsmVm9WkOaH6gQFWKOFv8qmXhn8frGQr VBHoU06OD+OIKV+sB9FuqdCBGhFNIgftjA9DvRW9g4jiUcw5VvTpiOgLbhnfTEZjh/UW8eI2 7fnx4zsP6Vpd3p++a2t91+zV+/nbN+U9ocgN9o+Ncmknk7kbA33gtlgOu842rwxoWulN2SLb CNSiVeSbUpIKq8IRFNTzAYXFD0C1iqujoQzdc74Ctp5H1D7gLXl+u2Ig3Y/JVTRnP1qz0/Xr +RlDdT9dXr+ev00+YatfH9+/na6/040O//oZi6PM1BKBnypBvRWw8DP5oZyCZVGlxGPUEuKp qr7Ydw23C0eaplJv37rRtcKZTE9Icrj7QRDhW90Y9Anq6DGG/2fxys/koPYdTXhkSf0RUBQw kjhKSZA7ok/xr8LfxOpRhMTmh2HTfaOV59dbdZj6hmzSahsY3u0mB0fipBVZqdpBCaXc4lpl B4z5cosNs9rTmgRCdXmgzg04xOIHw6fGRR6vbn5G4dd77Xy04Ypgy61hG8W3liwod9JpF4cI 7RPpVEWrQI39jgR0bzf3LG+ItGK8RNoGVQ6bCUlsr/N+e78+TX+TWg5YAK5AizbUqVWblCQ8 PM5gygEyOb/CYvP1UTF5wRQgQKw7JzNKXhwpypxWBTsO+AAjQ1juB9HVuwMZrBWhZbTphPk/ aQLWcPirlfs5Ug+reizKP1NPh3uGgzc9kEkHrwQ0hpDp98QqUgewRu9KaqGSGReOKYuFyVWK xDRf2OqAQvr2mHrufDYEhk/rWgQdyyxpm8SeQzPMloElDeiW1w3SvprUycwNZtQHxSyxbCqF AFRPBBpG2mU3LAdgcKm03A2vTb1QVDimVCNzZGZE5uRA5ZBnMIhs29OxKpPRbsMyFnal47mf 2dSZeFcV7TFlN4OJd4YSxq0dR7JloCsv5Sv0FlinM0t73tGOB5ib5PtFicGVI1DJCW2yY6N0 NiU9undJ98BAThFEZmMLQon20kS3sxBWA6+VvNEFgrrmEd28JAcJR6h4OcrCQ8wfTifbAxFn fNhxlrEmQwbZPbiypljU9F8u1HfMfb850J9jTYwrhEMsBGL9ItcBmFq2ZbI1bpMHxYJ0clsK nxE1yhniEWPXiag8DTewQdvM7BlZLYEYQ8yptSdWVz5QlwHR2wIZxsHoW3mu+aQULoeeH6+g X7+Mf1CQ5sTaAEPAphZ6oLsW2dWIuGMLLG5uHjoMTWM1kJ/KcGvozr2x7R8YFrZnmhkL53b+ sJ+axk2XCzkjbUd2Dd/RW8cs+hpS3VmLyqf3bserDK+ZZZbZWD2RwV0S84qlc5v6gNW941FL TVm4AT25cVSO717i7Gx8MgxcQ7TY52N2r0ZG4qP68voHKv7jY1p44yO2pgr+mlrE2tY8+hks I60trQ7or4/a1moCEXfmTez0+nF5H6/u0CQyRC9EqEAo0ntPHb775QWi8jcwgEeFLMo2igE8 0rp3v1s/y6KEqSjem6qUXDJO8JMqKn0YTJtQ9sMVPvDYV0CTjiTWLAEdTGZr7jyBpjrQb+i5 X5m02CI51Cas8dsohk0dFhpfw8VNF7dYdp1uUkVR7CEiHXxayL17aa63GjpZozYN7bJty3b6 mQADxcyswHOHQBrcdXvwfD69XqVu99kxC+rqoJcBP0nVDeir3XpyecPX6KqnUMxoHRusQndN QrIBOFSn+T5qHlyMsZljuDYMLErWWHf6Iq9h2ka+7rW4uUPVvrBrqN0hjBlar/QjFCMaqiY2 oeMsvOnghqShyw18x6a0y/I4xV4J4rhWs66s+Z126xSENnWkVPglnm7goV8kGUvzny3Y+5pt yGWOffeXq5LFHWGdRowpfgEEKsLwNthv0vlF0zD1Ct1IU5YTMoMirEiAyVpL+6ydegIJP+sg pspEpOALaZTF5b2eKMTQwgKiRzDGZjfdjGOE+6gMcsOrAl50EFP2pApPFlXUPsiTlzv1ghiJ 6Rp2aTI3cZbIPQpSQwRh+aJQ/EYvTzu5jIZMr0wNuPKTJJcHe5dX+tfLIKs4K0i3yW2ilKpV in0qXmfVxIa3DwtqLd5zn41xXiXyCzTVT6XgaT5boWXRgA1NAVljzVIn0cYPju0enp6f3i8f l6/Xyfbn2+n9j/3k24/Tx5Uy5dkei6jck0vPrVz6TDZldDSG/6n4YTTRIuhgFVawap2XKdWQ 3Lv9Q0pbQvlBVG5DegVHrH6IyyiBxYDmSEP0P0djaORcb9IdfR/msx2rE7+ocjoAJsdHC1e/ W0wKHhOSaCPUO/K6XN/Fqk/p9e7vuIK9eKQiLQv3i08fiW8KaIY8uIsqdKJBsmwLfh9hsO8u xr8Un9OUFZ02DmHP80PiC9qB00Qv2Ia+GskJ71DvMKnZTI6LHfzEnRX28PGAwsYNtPeml0eN eJdV0+nUrvdGx26N55woS3Lasl8w5P5dVWqmABrLflXRXZGyeKy/i0AIzNzoxRAhUdiojuXS stwbIs1WOdvGK79eVc2oHOXaDsQaeW4HaUFPQRBYChDyxz7Wz3xujj76LXl2HMWPrIrSxdw8 kNCitfLLsUzwXIZbO2FkscrPqtgnbVNT0ALaWU/oD4Z2EmjJxgYnt9UFShYFxOUGN8Rkb6fT F1Drnk9P10l1evr+enm+fPvZX8SYrTy5ATNKsZA7J5VrP9CkasXo89fL0ova8Sei9bqM7kfD EPf+Qw2O2BqGXRZDlYtg2Nws2Bk9lEocTXdRUl8qbvTkrFuNuC7iglY7gm2Zp1GXr8m2L0n8 LD+MFc92vBf6nBSFrAFnIvZKnRdltIkNts0t88ZQ5Rbf5lWRGDSdrjZlPqtXu6q6UZa/AYFh g3ZFlIaJfsqCRDLOhB8gHdQg1t3tpOOOlhHDSoAaIakDQt9pMpEXlYZKHPFQXO3N0S/wLU1n dBLbwIcIxcRid+bQD2g1LvdXuCxaHFeZnF9hMkQalZiCMIgW05uthWyaC1mSjeED+DqgF12J Ec9u4F/QZW5xiiulm1yGx6YSyz64Wf3G9dotNuHnDjUKmhNYkk1aBxvairU5PdoHNLx9YEUM AkmgXLSJJf758vTvhF1+vFPu2qHcaA9Lp2e7M2UerpKwo/YLFpogB9u4gIWvmju0LThZoJQH yESrnNI2Y2itnWQiIZx/nF5P7+enCQcnxeO3E7dtUt4TtO87b7Cq5fDjHNX8AHUFkVhvxPL0 crme3t4vT6TtQISvVIY2C029iMQi07eXj2/EsWuRMjmaCv7kxxM6LWM6pdOu+7KVMmSBaZeF KNEPPpXBV3xiPz+up5dJ/joJvp/ffp98oJXjV2jbULXZ819gwwcyu6hGFe0LDgIWT9XfL49f ni4vpoQkzhmyQ/Hn+v10+nh6hK69v7zH96ZMbrEKW7n/Tg+mDAYYB6NXPqqS8/Uk0NWP8zMa 13WNRBmxx1V04H7YG3En0SO5NWX+eu48+/sfj8/QTsaGJPFOtsjRF3w70w7n5/Prf0wZUWj3 AOqXhowk0vNDABT+yMUsOqCMSwnWMM/kN8SxfGYT45HQbr2WLUF7Wh2sFNmwB4wH2gqLULio Ratnw6cNvZNSCb9bx2vOpZIbc0XYFqh6iz/XjEwzYOWlsrrg9pqCxVa/hT2YnT00eJ+5krKv 50B5FovA0xOoAO+Xl9NVG/V+GDNrbpPW9S2mBP/0w0Myc1xj8IkWp+M6cFS252kIujvglkz7 Al6lvuXJHhtS31Zd9APFMXjGW6WB5U6HBykNHPq2nHXoz9TbahhpZWiQrARG+0vkGGm6cndg oXTPyn+qHp8FScTB6EjB33fW1FI3/2BmkwGh09RfOLID0Yag5tkSVW/TQFQccwLBU3xQAGHp upbunV5QlepxEunk/RBAd8n1OwRzW64wC/zZVAu8XN2B5mA4XAFs5euRS9o9T50NYoa8PsJG OLleJl/O387Xx2c0v4ZF8aps/D664t/wsDtJ5asDdjFdWiV1oQ6QZTsaMx2PGABbjkCOv5eW ltRe0t/MIeraCABnoeY6nw5+17HQG/3Sh60vMcDK2ABkwasr1wG0tJpeTRYLeWbh76Wl/Z4p vz1voWW+NFjtIORQZh0IqN7e/XDpzBeGXGKuwpgCFTQxfzRYAj0PQUXRDdCxo2XMMsr2UZIX eHlRRUFleKK3jT2HNNbYHhbq8iRiMhuqKIw9myq2tCqwnYWSBycZdGiOLSkLSoFIFg3oJHhq q+FCgGRZpFGpgDyd2zYo4IjNDN6w8QxgTgeqCoqZrRr3IskhrXoRWaqti2HZPluiCYkUmb9b aG+xhJ5bbwo6BQt5CNI0D/W3XayC1lNWjYoPzKln0SOphUmDxBZ02FR+iSfIlm3NvAFx6jEl mkDL67Gp+jqwAeYWm5OmtRyHvNRA9YK6WBqiSwnYmzmUcWMDzlXD5aYc/pyOTlQlgeM60vfv 13Nrqk/ZRpE/DKZsu32MbRXyZrJ+v7xeQV1QY/ShvFZGsJ/p5hBq9lLiRo97ewZhfSC+ebM5 LYxs08DRj3Y6pa/LS2T2/fTC34ULWyO1hCqB8Vtsmysgel3kPNHnfIxplUZzj5r5QcA8S+qU 2L9XRQlQnBdTLbp7EBLxQ1oQ3dCUcZ7VbFOodsSsYDN6wO0/e8sD2VqD1hGmWecvrWkW9Ogk AA3u8iqrYzSDLM+nrLtXE3KY0O5Z0abrMpWVAFZ0qcThlaZ/9Azb3Uo+aBhmrCSrtMrQmLL/ a5jstiJspgbMkkcxoGl5yp3OJZtHjNEwn6q/VdsYoDhkfAMEnLnOapAJXHdp4wNBOZB3Q9Vy cJcz6mAckala8bntlLp45CpvHcTvoarjzpfzEX3KXZCB/DjgaTkt5oa2WcydASu9biC0mBo+ WpfYZuq0hOXII1XJAK1ofGWZDYu8qumXVSFzHDm4DYgWlqKDoKwxlx/fp3N7pvz2D66lyiKu Z6t7eVA4Czp8GiBLW9/joKpTz8an2vTmArjrqoKUoC5mpCzSgHPZWbTYj9qGaq3OxqaSuFeE 9eXLj5eXn83Bj7wMDbDGde7pf36cXp9+TtjP1+v308f5f/FZdBiyP4skac8OxTkxP7R9vF7e /wzPH9f38z8/0PxN3YWWri6YK0fNhiyEkfn3x4/THwmwnb5MksvlbfIJqvD75GtXxQ+pimqx a5CKqS2FI01fNBX5/xbTO/McbSllsfv28/3y8XR5O0FdhhspP02ZklugwKyZsvQJ0lwn2XNt QTyUzF7SuQLkuMpBycb6P8qebLlxXNf38xWpfrq3amaOt2wP/UBLsq2xtoiSl7yo3Imn2zWJ k0qcOtPn6y9AihIX0J37MNMxAFEUCYIAieXK+W0K/BZmSanZhvERaO50baaiHg/097QAcieZ b8u8GYOZZe9bLQrv8M+gMfrdRldz0OoH1JpxZ0Ru3vvd0+mHpu4o6Nvpotyd9hfpy/FwejG2 qlk0meixPBIwMWTMeDA0qmRJyEjvGfkSDan3S/bq4/nweDj9JHkqHY2HlDwKF5WuUi1Qnzft HgCNBh6/kkXFR+Qmu6hq3Xzg8fXADCJCiO3Sr77N/o7WJQIEGWZneN7v3j/e9s970Ho/YFwM LQH53kh234LspSCA1/RuKXDmqWFsLYaYWAwxuRhyfoPl4X2bdkdAn4Iu082VZbWvmjhIJ7C2 /Y0aRHTDSAJr70qsPePoXUcYi1JDWF/ZrrqEp1chp1XjM7Onr10cfDMgWof2Z+syDYDIIEsx O7opsYTyWWXhn2HDrZNaFtZ4AEGzOEvGdCAhIECYmGd7Rchvx+SphUDdWmzIr8cjcsufLobX hjiG3zpHBik8qEcvIsCMFQOIr/gNoK4GFO8j4so8ip0XI1YMPIWMJBIGYTCgnKU7M4EnsO+Y RzYmbkQ6sSNqONLOdv/kbDgyamYU5eDS1NZUw2dyVCdV6ckStIKpngTcEMwgu61qwhJGGQxZ ztpoyRaQFxXwgzZRBXyByCFlSMfh0PTKR8iEmiFeLcdjPagI1l29irk+Sh3IXMA92LA9qoCP J8OJBdBvXtSIVjAfVgiyAJEFbhFzbVY7A9Dkkozzrfnl8GakBSqsgixph92AjI09ZBWlydWA vMeQqGtj3lbJ1ZBUqu5hlmBSDC3QFC7SP3v3/bg/ycsATeyoxby8ub3WDT38fan/Htze6ltt e72UsrmZPbsHey+1egq7OCabj4d02dY0GF+OJtqItlJbNEOrUaoP59CEltW5AKfB5c1k7EXY 9dptNL1zKaoyHQ+tax4D4xk8i8gavy1L2YLBP/zSPv1R7vUUE0j2wBqbr0/7fyzjQxzg2G7p el1O9Uyr5jw8HY4Ok2kbKYEXBCrf0sXvF++n3fERDMDj3u7IohQJltQ9sOf+WDiMlnVR0XfU FeZKSvK8oNEiFYhxAd32ne5hu5cfQd0VcdG74/ePJ/j79eX9IMqVEqPwGXLD4Hp9OYHGcSDv tS9H1/T2FnKQF+QtJNtcTsztVoBuvFcQgKNvkvAIYUDWmELMUC8ChYDLsXM0MfQVpk5si8Iz GORAwQSdTK+XtLi1S495W5ZPS6v9bf+OGh8hMafF4GqQznWRWIxMxRt/24q2gFkLN0wWIO/p gIGwAIWPGqJFYR5KxUGBg0mKzyIZDvVrZ/HbuhWXMPNSvEjG5oP88sq6KhIQrzLfornH1x3R YyrDQiukVeJ8Akoa3RJjjW51ORnQqtSiGA2uKDl7XzBQSLUziRZgvlQB1fvUEYzNM72+fzwc v5M6Px/fjulLDPe5ljFf/jk8o52JYuTxgCLpgWBToYYaJWeSOMTogriKmpUpBKbDkaccXkFH U5Wz8Pp6ot+e8XJm3ubxzS3NvoAwKt7gk4aOjTqTN3B+lVyOk4FTf1ubg7PD07pSvr88YW7F X3pDjPitZYGP+HDkkSa/aFbudvvnVzwpNCWLcft8SyqmIIzjtME8+Gke5LVRwidNNreDK10Z lhD9wLhKwRwyrg8EhFqCFeyEOt+I37qai8c+w5vLK2OTJD6sf1dW0SnNVmlkZ7RWjKfnB4Uf bqYuBPoDohHLqhRDrpIgDLye1j1dFdB9FO9ZU8ICMRi7P6tSu2NtLPrc/9Kk4NwbFtITnIkK ARqRkFUk85BaWHl38fDj8OqWjAEMOk1rej10OzaO4Z2Hu2cLFixxmgx9P2dlCLt1EDvLoVNZ y5hhsFEeVJ6SLSC0o8rjjiqF3WJ7wT++vQvHzv5r2ljiBtD9F2nAJo1Bvw8lunubSLI+T5GA Mk+CtFnmGUOyUWM9im22KTOaKi9LyweRoLJfruM4S1ZUjl2kQX6K081Neocd0ZaA+KoNhv1p 36Yhiw1rRjdZ2iy4nu7SQOGnOZ3CvB5uVnX9tawoFnkWNWmYXl2RegaS5UGU5HhZWoZmaC0i u/WAd7pTOgDBpItSO2RWSXiDJ7oeYPSRkaEkDpMI2vtTlofs1aqqoFZTanrnwk/v4kRcYgYT Smbdv2EyIbHfPMujbyPSTfX/DFm3vxrZyBjH8qUOwE2ECLM4cbrFjo9vL4dHQ+vIwjL3lTxo ybuTdr0eCYZGSUA/nhLULK38i0ryr4wMouKnK8sluKRSOC7WF6e33YPQg2ypxiutafiBQWEV huUbS6BHYNrJykSEdZoaCxWBPK9LWKcA4bknqYdG1uXp/RXhrCoZ7fwsuN6s26VgvwgdBAI7 oNTGzz0N84pKMdGhU64lBuh7U8UEtOdEdRnizpp2e1DMqaQFM641DT9EvQBkryzXizkhRtZy cbITayirdgpFwkS0Kd2Rhgd5ar6TTyN0ojeBeaBbUhiZC5rZpj/s105KyKoONboyzq9vR57s thLPhxPS5QvR9hggzI3xcg9uqOoYWYwrZBXzvKS1Mh7nmjTAX6gXWJn3eRKnUz0TPAJk7iCz CrQ4rwlkLLFxB5DXWWUHp6jPy+3wZGXLy2J8oR6aMjs8gTYqNgo93VPAgkXUrLGeVJf+uFdJ GdpJYCPNOPoKc/K0CXE5j2FyAu17og2GjZmSTcGaKYbGNXlBDSumn2kQLxMpd2p2FqLP5NbG a8zcgEJRbgtPSSnAr0AnqrbWQxLoas8OxbSOgaUzdArPWFWXkV60mNsVokMbEEuAygOvHmQd Xd+pFtZOCEaRpDEHBiMTR9/VeaVlyxI/MWsJptHuw8YNHaQEcEu4ZmVmmbUdnaTwDczdLK2a lXEMIkGUS6poKqh0R/O6ymd80ugRNRJmgGYwXAYgsEq+tblhZnR4aQ5zl7CthZZSZ/fwY29W juZiMdCuLZJa6jbv+4/Hl4u/YEE56wmjDhvLNkPQ0uO+KJBYY0AfGwEsGCZcyrPY8BQWKLBe khD0bvsJLGCFZY3s6hPLqMz0MVQqR/sTjF+zxwLQL2pyZCXNhlUVLZskPsbt6ooOc17Uc+DS 6YxialB+ZmETlKBI6F57qmbTPJ5jvgc5SBpviH8UB/VKpjtfmgyNuUxXJnNS0GwEywkk5NJH p6j0rHjwQ9UE+Prl8P5yc3N5+/vwi44OYGzELE/G1+aDHebaj9EvpgzMjX7rbGFGXoxxK2fh qIMRk8S8FLdw9Im6RUTWSDJJxr7Om+6OFo66grVIrrwN33owt2PfM7fe0b8d+0b/duJ7z41+ HYkYUEeQk5ob7xcPR6SXnE0zNNsVmeboVw3tVykEfUqqU1CHdzre83EOLyoEFXGg46/p9m49 Hzb2wB126jB0nAySLPP4pqHUow5Zm2/DVI9lnuoF8RQ4iLCGl90JiYENvfbUiO+IypxVMaOU oI5kW8ZJohuGCjNnEQ0vI73wpgLH0FdZcMPpRpzVMW0GGp8fe/JfKSLQtJYxmQAQKepqZiyF MKEMb1DmA2k36fo9gsCeKlPQcu9FJdIuZySpAxgatHTf3z98vOH5ep8Hs9tyt8aWir+bMrqr I0wgZ6sZahePSh7D7gLaGdCDljbXNpRWuY1C1XbfchMuQJmOZBVg4xY/qKVym0ZcnDBWZRxU LoFh87cwj0bVtdnuidRnoIgRyc9w4SSiV9QbflWqpKMrGGmdizw0C1aGURbJCi1BXoDWnIB1 0MZX9cqGTUYbxGCeoOItzyhI3x2Gagc2kgL3LKKkiIw4LgItuv/1y7/fvx2O//543789vzzu f/+xf3rdv30hvpYD19MFcDqSKk/zLS0EOhpWgMWWeuJzOir0ljhPgRUWeVR5qqN3ZGiRhfk6 QxdCz0nK3Ga1DtjbVPTpjqeP0Yp6larE1HO/nl8Yuvf1C/qpP7785/jbz93z7renl93j6+H4 2/vurz20c3j8DTNmfceF/UWu8+X+7bh/uvixe3vci1vIfr3/q680eXE4HtBB8vDfXes0331n XCFvgM2b5VlkDkGMNaMk03qKSFmkM5DEGqWu6Xr6odD+z+jChmyB1qnWKHtydZITvP18Pb1c PLy87S9e3i4kL2tZbAQxfNOc6RfpBnjkwiO9NpMGdEn5MoiLhb7yLIT7CJgNCxLokpb6wUMP Iwk7Hd/puLcnzNf5ZVG41AB0W8A0fS4pbKZsTrTbwk3XUomq6SMd88EmjLmQ5iKbstP8fDYc 3aR14iCyOqGBbtfFP8Ts19UC9j2i4/YmbbFBnLqNdVnNpRH/8e3p8PD73/ufFw+Cm7+/7V5/ /HSYuOTMaSl0OSnSzz47WLgguh4FZchpgaa6n9KqtRqsulxFo8vLIZ18wqHCvKfuTcjH6Qf6 +TzsTvvHi+goBgF9r/5zOP24YO/vLw8HgQp3p50zKkGQunxAwIIFqDpsNCjyZGt61Xbrex5j 8QhinBQK/uBZ3HAeUTaiGrLoLl4RM7BgIDZXatKnIkAJ999395Om7gwGs6kLq0qis0FFnQh0 3XCbSco10Uw+o6pPt8iC6uKm4kQ7oBSuS0Yld1XLcOGdkh4lxpxoXaNgq81ZXmWYJLmqPZnd 2uHh3KyDLe+6sEKlZ6qMigFKlqeMEhQbGDT/MKzkQ8p9bv9+cl9WBuMRwRoCLG99aCQNhVlM KGG52bQ7lP0B04QtoxF9gWOQeBLsGSS2KHA6WA0HYTyjui4xvu7Pyf1V4zG7Qx0HYVLmKyrw X21C4cRpNw2pJtMYlrtwCjgz42UaGoFASn4s2JAEwhrg0Zh4GyBHl1cSfVaYL9jlcOTSUa1R PbgcEvrPgo1dYEp2swJ1cZpTJ/gtxbqgXiEmtBGT3WRxx+dS/Tu8/jDTFiqJ7WoHAGsqQgmM uN6shczqaUw0VQYuK0yTfG1WQ7EQfREGd020FC4LOuKdYXLYmLqptSjaxtwVpPByNwO5+XnK kZ8UTxOsIhMazhXuAnr+7bxy+VBAzz1mubn00HEThdEnRngm/vWP73LB7gn7QCkYXoSvwzyK 3NZAGy5kZV1nGUmM2BF/KbIU8Znx0ki8s8tTF1ZFrjparXNyBbRwH4MotOftJroZr9mWGBdF 1X+qe9H28vyKzsCGSdwxyCwxrniUdnSfO7CbCaWLJPdnJgKQC3frvufC1JDur7vj48vzRfbx /G3/pkLXqZ5i0eUmKCjbMCync6t2hI5ZUNqKxFB7psBIJdNFOMA/Y6zLHKHTYLF1sLKqMWGD KwTdhQ6r2dmU5ShoStIp2qYijfsOG2XCvsyn6GJEsIPYi+JsZh9APB2+ve3efl68vXycDkdC U8SIU2pXEnC5nTgMhUGqrkLlbEULef6I5FLWkC+RKOWP6XmdJDonHQUVafa5dKHnezuNq+Tx ffR1ODxHc77DiuyXXbbMv/Md9+hAC8pQQleogoV2imWKTHo0g4H+OULsxWBydjaQOPAlyO5J 7ljVhIub28t/fv1upA2weNynCK9Gn6KbfLI91ckVXdWF6uYnSaGjK7LuU09nlyDSUHj0vAkI BVFOACi2Hs5gaZLP46CZb8jSLnybphFehYjLk2pb6D4GPbKop0lLw+upSba5HNw2QYTXBXGA HlLSPUrvT7EM+A0626wQj614XaiQ9FpV0PI0dS3OvLAd+iA+nuP1RhFJByn0WRI9s5yhpPTE QP6/xNHP+8Vf6HJ7+H6U4QoPP/YPfx+O3zW/UuHv0FRlzdvLp9LwzHLx3KgB1uKjTVUyfcSo 25UI/ghZuSXeZrcHIjpYJjHvrspot51PfKl6+zTO8NXCO2r2tUtQ4NthsAoVK5sSC6OZ/j5M +KYR3zeNwRjDokMaIylPfbDTsqDYNrMyTy0fMZ0kiTIPNouqpq5i3QdFoWZxFsL/Shgs6IK2 mvIyNGU8fHwaNVmdTul6YfKKkSXuO7CsWZynutO5QllgsXeiW1eQFptgMRdXR2U0syjQz2eG 9k3rSRrrH921AasVVLMsr+y7z6AMQESAdmSAhlcmRXfcoUkR6HBVN7QpYh3r4HmOujK2GkEM SI9ouvWUntBJfJaRIGHlml4uEi9nVH/IY5rY2k5AufXAPuweeAVawkj3nApWQJin2kgQzYLu LmoLmZGMCA0jF36P2gCoe6ZpcC+VGwsKlgLRMkKploVBQNJP6J6AqUCQCzBFv7lHsD46EuI5 d2uRIl6joB6LmcdqbvGspE9We3S1gMV8jobDdkOdl7XoafCn/XlNy+4tsB+HZn6vh1VpiOTe KPzaIzb3HvqchLemmyVg9Bt/JWoDzawRXrArljSVVBnU17CyZFspX3QFgOdBDOIElHtB0KNQ JIEw02M4JEiU2TSEHMKNKraZKOYka+OCEJdxCDpO1JhlhfAhsH0eRYndMCybCgxsQ4TztSps 2LvAAHHguTEXDWHI1LniqaIb0ygLwHIlHTz4PJFjrs3Rnb4nJLnRI/x9TjpkCbqRahInuUf/ EW0Cyzu0ObRXpEVs5BgK49T4DT9moTZOeRw2WIwJ9lBjQmGSFRetQp67vDWPKky3kM9CRsTX 4TNNJfZMbs0ZckCBkTyG/d2h6ta5e5bUfCEcgggi4c+SBhZGeBKsmV6pSYDCqMgrCyZNZ9jn sQLBoEehxmRuXV2ktaXwmA4QSjkU0Ne3w/H0twwuft6/f3fdoIQytRQjZKkZCA6YHejYKSYi 2Ag0g3kCClPS3bJfeynu6jiqvk46/mh1aaeFSd8LUba27UoYJcxTbnibsTQOzi0ZncKbp3ab TnM0J6KyBHK9urZ4DP4DzXCat97t7Wx4R7g7WTs87X8/HZ5bffZdkD5I+Js7H/Jd7UmKA4MV EtZBZHjzaVglhT1FHTVKDuoatdA1knDNyllT5Xki7mg1PwqqQUFN74Q2FXXIULAFMgsuKdG1 ZloZSt88BPkUlHFB3uLOSpgvESnx9WZ4O9IXUQHbBYbwpXqIYsRCcZwFKE3UABRLgohahbok k/0H00c4IKYxT1mlb142RnSkybNk647VLBehdXUmH2FJjImBRtSdspQObYCP5aCnN7aO2FLU MQmKmjaxPsuE/9LrR7UCJdx/+/j+HV2R4uP76e3j2axKnjK04sHiE2WaXWDnBiUPEL8O/hlS VDL6mm6hjczm6JqZBaJ8tTkK3J6qGReb37phZmXYDovuMoIgxditM0zbtYReYT4HRyHyl8Ch +rvwN3Wy0e0uU84yMB2yuIrvI7unAnv+fQFnhmfZp+bNHCeMOomIEcKIC+dIovVc69rVthAU 49GmwjzfFJsiXigj5ECLp/N15omgE+gij7GiqScKqn8LrGzqLEsSlDmsI2apxt18SJr1xuYl HdJZ0lVYp5oqKX+rhNt91yW4rZvm7Vc+xaBvh4lbMGm9mhTobnhmYBSZyElFuyCYhB6nYZOo DGohMX3dBoEE8kgFR/qo2msFtbUMtUOkpJ4qYk/JTKRAXZwaWrFQWi4HFS8BGekOoMJ4P1aK 4JobMUwcNMGwRUUZGJ+LKFh6OWqVNsVcuFq771/RpqH94Dkx0tLGZVUzZ8vqwfYCF3XBhL8q 0XiLFSGOMewroA/lZZ+bwFB0Ze1BDkMJFgnaeEm7K0lbyxlwl+q8lGNcD7+wEOgcZBo5QSBG RWL7GxITi/yNynWW9+IXTDfjmMB6sd1gL+YFIq8xmJOaKImPs0Q6NhpQwUJfhyaw/yTrHaIo SeRzq9RGZiZ2Sf15ASFVA0eoW/y/iMW+Lr2vkOgif3l9/+0CE3d/vEo1YrE7fjeiNAuGxadB u8np+GEDjwpODXqBiRQGXV0BuF/u+azCc8i6IIvzdONQhi2VWJeiJRjo1OBGjepsoR+JbBZY 9btinBIU6ztQ90DpC3PjDFzcBMhXkAN/fjBl6Aqoao8fqJ8Re64UQiqRgQE0bQcBE1JSVxao tu3FiiO3jCI7p5Y8dEcvzV7F+J/318MRPTfha54/Tvt/9vDH/vTwxx9//K92Ho8h5aLtubBt u7qlnc2Zr8jAcYko2Vo2kcHY0sf3Ao0fa0tCPPypq2gTOdusKgNrwz3k67XEwO6Tr0XYiP2m NY9S5zHRMUtWiXiMiJCSLcK7K2FxbdSOk8j3NA6v8A5odQdqFYouAeNjTIdUip77pvrPJMOt Ot6aGS3QZ+Q8lO9aMzDrCBtdHWv8P1hKfYPIUIJnT7OE6ZFYJrzJ0tgdJ4X1WV6ijb5JYdPB DDZ1ho5JsM7kqTqxyUnlxlkzcsn/LdXzx91pd4F6+QNedTn2P16b2TxUtEDrdfycUqz2cOor pWrVCKUYVFfMRBqbwSpne2x2LihhTLIKDDWu9gvQEElrQS7mQPPFsbhQWemgYYq6TATcx7eI AxtAe466IsMGSivlAgKjO36GQc3vsUca9gGp0pSOIa4WHAMLKdhWuWY5CP+ant3+r7Fr6ZEa hsF/CcRqBcc+d6Jp2pJJtcNptYcVRyRAiJ+PH2kbJ3HY00i1k7YZx4/PjpvrxJn6vwIpcqHJ 1h8QQp365Jr1UubZQbExkfQC8eXZ+Auis7d3sPXGodFE6PA97I3LZg1kS8ED3BazoAkLNmTA 3UicEB7OPpsES65SJBm2JgJaYeqE2IVbpUR+mk5aCYJn08/Q0udeiV8k4OEHdKnHVADCQ+m/ sUL8ZmHzua/l18nmCxciaTmEMW/aJKyo6WENLp35+OnLAyUS0hDg1O3gMk1Dsbv/GXtQHywT MJK4WpOPsQaOKEuwZBRSFX8/P5ZURaLGs82Rq/mcZ2jc9G3HkEWPOiyGDIAuAc3bWh6lzNW3 T8oAat137+OjIMGjmlpKJiRyh/2P0u1/5gDhKTG91qOi0BM0+EEnBMhfPtzlF7oigoIKHxyb DrEfPAoOFhBygusb11hZarzqPWp44L5VU+tlTe2deWkIpls34S9ueBAT3ST1vtv8bGZcU9DZ AnjbrzOkTFtR+fC4FNo4CePffv1GHwYd+u7Hn7efr99Fj/DrVg68ixG3iQuDV/u/sHwZSYvp 80W2ZfDcr6zMdeoUAnCPp6mphGu3xGe8ON6G6BUuh90qk+jIX7LQoH8xZefZ099Ld49h07X3 ZeyE4y4sOrrBRtJZrJkRvipXCBKHOr49rTXIpu74uhaT2RU65ZuXabFoxTUukRnX2QLcptI5 Znh8qDv09OKX4Y64ZWVlODfJZ+dLFmLnunWr2NVcHgcEv9y1YUdxV3yxNT7Bk+jytiln3onK xQM6HTtPjWC3dA6HqdkMgktWq5GdLyTV9OUsP4vptSLD8MoJeiLpASfSGci1VPso8D3Wco0o E7F8j5JyoCSKbFS01mKurlSJIGcbjbMQQlUWkltsVd5Ht05B3qizA1Y36kwCF61oh8F2Dcii LttUQSjruvaRqkvFC4HbGHMVlacci/EDTJ2WAlTtTdZTgCsD/gEd02HXa/0BAA== --ew6BAiZeqk4r7MaW--