From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-7.2 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED, USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id ED350C2BA15 for ; Sun, 5 Apr 2020 00:24:21 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id 9893420644 for ; Sun, 5 Apr 2020 00:24:21 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726386AbgDEAYU (ORCPT ); Sat, 4 Apr 2020 20:24:20 -0400 Received: from mga11.intel.com ([192.55.52.93]:11759 "EHLO mga11.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726371AbgDEAYU (ORCPT ); Sat, 4 Apr 2020 20:24:20 -0400 IronPort-SDR: 9cDHrPVCa6BaECYtSatYvIJc8Kya/kiUrCH9RFzbrtR0wt8kyHDc5YT13QZdJszdkh539Jk8Jh X+6hGwG6O7KA== X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from orsmga003.jf.intel.com ([10.7.209.27]) by fmsmga102.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 04 Apr 2020 17:24:18 -0700 IronPort-SDR: NYSq2vG6qjfK1HlezQAKmxHDTD0VFNroQPSigdsCm8dacVaBJSkVz7JBeatquUcm+r3O9eVM0j 1yzDwPEy7tqg== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.72,345,1580803200"; d="gz'50?scan'50,208,50";a="250524645" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by orsmga003.jf.intel.com with ESMTP; 04 Apr 2020 17:24:16 -0700 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1jKt5D-000BdE-Pi; Sun, 05 Apr 2020 08:24:15 +0800 Date: Sun, 5 Apr 2020 08:23:36 +0800 From: kbuild test robot To: Helen Koike Cc: kbuild-all@lists.01.org, linux-media@vger.kernel.org Subject: Re: [PATCH v2 1/3] media: v4l2-common: add helper functions to call s_stream() callbacks Message-ID: <202004050814.G3to1p96%lkp@intel.com> References: <20200403213312.1863876-2-helen.koike@collabora.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="17pEHd4RhPHOinZp" Content-Disposition: inline In-Reply-To: <20200403213312.1863876-2-helen.koike@collabora.com> User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-media-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-media@vger.kernel.org --17pEHd4RhPHOinZp Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Helen, I love your patch! Perhaps something to improve: [auto build test WARNING on linuxtv-media/master] [also build test WARNING on v5.6 next-20200404] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system. BTW, we also suggest to use '--base' option to specify the base tree in git format-patch, please see https://stackoverflow.com/a/37406982] url: https://github.com/0day-ci/linux/commits/Helen-Koike/media-add-v4l2_pipeline_stream_-enable-disable-helpers/20200405-050004 base: git://linuxtv.org/media_tree.git master config: x86_64-randconfig-g003-20200405 (attached as .config) compiler: gcc-7 (Ubuntu 7.5.0-6ubuntu2) 7.5.0 reproduce: # save the attached .config to linux build tree make ARCH=x86_64 If you fix the issue, kindly add following tag as appropriate Reported-by: kbuild test robot All warnings (new ones prefixed by >>): drivers/media/v4l2-core/v4l2-common.c: In function 'v4l2_pipeline_subdevs_get': drivers/media/v4l2-core/v4l2-common.c:463:37: error: 'struct video_device' has no member named 'entity' struct media_entity *entity = &vdev->entity; ^~ In file included from include/linux/export.h:43:0, from include/linux/linkage.h:7, from include/linux/kernel.h:8, from include/linux/list.h:9, from include/linux/module.h:12, from drivers/media/v4l2-core/v4l2-common.c:37: include/linux/kernel.h:987:51: error: 'struct v4l2_subdev' has no member named 'entity' BUILD_BUG_ON_MSG(!__same_type(*(ptr), ((type *)0)->member) && \ ^ include/linux/compiler.h:330:9: note: in definition of macro '__compiletime_assert' if (!(condition)) \ ^~~~~~~~~ include/linux/compiler.h:350:2: note: in expansion of macro '_compiletime_assert' _compiletime_assert(condition, msg, __compiletime_assert_, __LINE__) ^~~~~~~~~~~~~~~~~~~ include/linux/build_bug.h:39:37: note: in expansion of macro 'compiletime_assert' #define BUILD_BUG_ON_MSG(cond, msg) compiletime_assert(!(cond), msg) ^~~~~~~~~~~~~~~~~~ include/linux/kernel.h:987:2: note: in expansion of macro 'BUILD_BUG_ON_MSG' BUILD_BUG_ON_MSG(!__same_type(*(ptr), ((type *)0)->member) && \ ^~~~~~~~~~~~~~~~ include/linux/kernel.h:987:20: note: in expansion of macro '__same_type' BUILD_BUG_ON_MSG(!__same_type(*(ptr), ((type *)0)->member) && \ ^~~~~~~~~~~ include/media/v4l2-subdev.h:888:3: note: in expansion of macro 'container_of' container_of(__me_sd_ent, struct v4l2_subdev, entity) : \ ^~~~~~~~~~~~ drivers/media/v4l2-core/v4l2-common.c:491:20: note: in expansion of macro 'media_entity_to_v4l2_subdev' subdevs[idx++] = media_entity_to_v4l2_subdev(entity); ^~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from :0:0: include/linux/compiler_types.h:129:35: error: 'struct v4l2_subdev' has no member named 'entity' #define __compiler_offsetof(a, b) __builtin_offsetof(a, b) ^ include/linux/stddef.h:17:32: note: in expansion of macro '__compiler_offsetof' #define offsetof(TYPE, MEMBER) __compiler_offsetof(TYPE, MEMBER) ^~~~~~~~~~~~~~~~~~~ include/linux/kernel.h:990:21: note: in expansion of macro 'offsetof' ((type *)(__mptr - offsetof(type, member))); }) ^~~~~~~~ include/media/v4l2-subdev.h:888:3: note: in expansion of macro 'container_of' container_of(__me_sd_ent, struct v4l2_subdev, entity) : \ ^~~~~~~~~~~~ drivers/media/v4l2-core/v4l2-common.c:491:20: note: in expansion of macro 'media_entity_to_v4l2_subdev' subdevs[idx++] = media_entity_to_v4l2_subdev(entity); ^~~~~~~~~~~~~~~~~~~~~~~~~~~ drivers/media/v4l2-core/v4l2-common.c: In function 'v4l2_pipeline_stream_enable': drivers/media/v4l2-core/v4l2-common.c:499:34: error: 'struct video_device' has no member named 'entity' struct media_device *mdev = vdev->entity.graph_obj.mdev; ^~ In file included from include/linux/printk.h:331:0, from include/linux/kernel.h:15, from include/linux/list.h:9, from include/linux/module.h:12, from drivers/media/v4l2-core/v4l2-common.c:37: drivers/media/v4l2-core/v4l2-common.c:514:36: error: 'struct v4l2_subdev' has no member named 'entity' "enabling stream for '%s'\n", sd->entity.name); ^ include/linux/dynamic_debug.h:125:15: note: in definition of macro '__dynamic_func_call' func(&id, ##__VA_ARGS__); \ ^~~~~~~~~~~ include/linux/dynamic_debug.h:157:2: note: in expansion of macro '_dynamic_func_call' _dynamic_func_call(fmt,__dynamic_dev_dbg, \ ^~~~~~~~~~~~~~~~~~ include/linux/dev_printk.h:114:2: note: in expansion of macro 'dynamic_dev_dbg' dynamic_dev_dbg(dev, dev_fmt(fmt), ##__VA_ARGS__) ^~~~~~~~~~~~~~~ >> drivers/media/v4l2-core/v4l2-common.c:513:3: note: in expansion of macro 'dev_dbg' dev_dbg(mdev->dev, ^~~~~~~ drivers/media/v4l2-core/v4l2-common.c:529:37: error: 'struct v4l2_subdev' has no member named 'entity' "disabling stream for '%s'\n", sd->entity.name); ^ include/linux/dynamic_debug.h:125:15: note: in definition of macro '__dynamic_func_call' func(&id, ##__VA_ARGS__); \ ^~~~~~~~~~~ include/linux/dynamic_debug.h:157:2: note: in expansion of macro '_dynamic_func_call' _dynamic_func_call(fmt,__dynamic_dev_dbg, \ ^~~~~~~~~~~~~~~~~~ include/linux/dev_printk.h:114:2: note: in expansion of macro 'dynamic_dev_dbg' dynamic_dev_dbg(dev, dev_fmt(fmt), ##__VA_ARGS__) ^~~~~~~~~~~~~~~ drivers/media/v4l2-core/v4l2-common.c:528:3: note: in expansion of macro 'dev_dbg' dev_dbg(mdev->dev, ^~~~~~~ drivers/media/v4l2-core/v4l2-common.c: In function 'v4l2_pipeline_stream_disable': drivers/media/v4l2-core/v4l2-common.c:540:34: error: 'struct video_device' has no member named 'entity' struct media_device *mdev = vdev->entity.graph_obj.mdev; ^~ In file included from include/linux/printk.h:331:0, from include/linux/kernel.h:15, from include/linux/list.h:9, from include/linux/module.h:12, from drivers/media/v4l2-core/v4l2-common.c:37: drivers/media/v4l2-core/v4l2-common.c:554:37: error: 'struct v4l2_subdev' has no member named 'entity' "disabling stream for '%s'\n", sd->entity.name); ^ include/linux/dynamic_debug.h:125:15: note: in definition of macro '__dynamic_func_call' func(&id, ##__VA_ARGS__); \ ^~~~~~~~~~~ include/linux/dynamic_debug.h:157:2: note: in expansion of macro '_dynamic_func_call' _dynamic_func_call(fmt,__dynamic_dev_dbg, \ ^~~~~~~~~~~~~~~~~~ include/linux/dev_printk.h:114:2: note: in expansion of macro 'dynamic_dev_dbg' dynamic_dev_dbg(dev, dev_fmt(fmt), ##__VA_ARGS__) ^~~~~~~~~~~~~~~ drivers/media/v4l2-core/v4l2-common.c:553:3: note: in expansion of macro 'dev_dbg' dev_dbg(mdev->dev, ^~~~~~~ vim +/dev_dbg +513 drivers/media/v4l2-core/v4l2-common.c 496 497 __must_check int v4l2_pipeline_stream_enable(struct video_device *vdev) 498 { 499 struct media_device *mdev = vdev->entity.graph_obj.mdev; 500 struct v4l2_subdev *subdevs[MEDIA_ENTITY_ENUM_MAX_DEPTH]; 501 struct v4l2_subdev *sd; 502 unsigned int i, size; 503 int ret; 504 505 mutex_lock(&mdev->graph_mutex); 506 507 size = v4l2_pipeline_subdevs_get(vdev, subdevs, ARRAY_SIZE(subdevs)); 508 509 for (i = 0; i < size; i++) { 510 sd = subdevs[i]; 511 if (sd->stream_count++) 512 continue; > 513 dev_dbg(mdev->dev, 514 "enabling stream for '%s'\n", sd->entity.name); 515 ret = v4l2_subdev_call(sd, video, s_stream, true); 516 if (ret && ret != -ENOIOCTLCMD) 517 goto err_stream_disable; 518 } 519 520 mutex_unlock(&mdev->graph_mutex); 521 return 0; 522 523 err_stream_disable: 524 do { 525 sd = subdevs[i]; 526 if (--sd->stream_count) 527 continue; 528 dev_dbg(mdev->dev, 529 "disabling stream for '%s'\n", sd->entity.name); 530 v4l2_subdev_call(sd, video, s_stream, false); 531 } while (i--); 532 533 mutex_unlock(&mdev->graph_mutex); 534 return ret; 535 } 536 EXPORT_SYMBOL_GPL(v4l2_pipeline_stream_enable); 537 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --17pEHd4RhPHOinZp Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICAUbiV4AAy5jb25maWcAlFxbc9y2kn7Pr5hyXpI65USSZcW7W3oAQXAGHpKgAXAuekEp 8shHdWTJO5LOsf/9dgO8ACCoZFOpRINu3BvdXzca/Pmnnxfk5fnx6/Xz3c31/f2PxZfDw+F4 /Xz4vLi9uz/8zyIXi1roBcu5/g2Yy7uHl++/f/9wYS7OF+9/u/jt5O3x5nSxPhwfDvcL+vhw e/flBerfPT789PNP8O/PUPj1GzR1/O/Fl5ubt38sfmn/fHl4fln88dt7qH3xYn+d/ep+Qw0q 6oIvDaWGK7Ok9PJHXwQ/zIZJxUV9+cfJ+5OTgbck9XIgnXhNUFKbktfrsREoXBFliKrMUmiR JPAa6rAJaUtkbSqyz5hpa15zzUnJr1geMOZckaxkf4dZ1ErLlmoh1VjK5SezFdIbcdbyMte8 YkbblpWQeqTqlWQkhyEXAv4DLAqr2pVf2r28Xzwdnl++jSuLgzGs3hgil7A4FdeX785wo/ph VQ2HbjRTenH3tHh4fMYW+tqloKTsl/rNm1SxIa2/sHb8RpFSe/wrsmFmzWTNSrO84s3I7lMy oJylSeVVRdKU3dVcDTFHOB8J4ZiGVfEH5K9KzIDDeo2+u3q9tnidfJ7YkZwVpC21WQmla1Kx yze/PDw+HH59M9ZXW9Ikaqq92vDGO2FdAf6f6tKffyMU35nqU8talmiJSqGUqVgl5N4QrQld ja22ipU881sjLeiTRDN2V4ikK8eBwyBl2cszHI3F08ufTz+eng9fR3lesppJTu3JaaTIvIPr k9RKbNMUVhSMao5dFwWcWbWe8jWsznltj2e6kYovJdF4KJJkuvJlHEtyURFeh2WKVykms+JM 4rLsZ/omWsLuwFLBKQR1kuaSTDG5sWM0lchZ2FMhJGV5p05gpp5QNEQqNj/znGXtslB2fw8P nxePt9FOjWpa0LUSLXQE6lHTVS68buy2+yw50eQVMqoxT5l6lA1oWqjMTEmUNnRPy4RIWIW6 GSUsItv22IbVWr1KNJkUJKfQ0etsFewiyT+2Sb5KKNM2OORe1PXd18PxKSXtmtO1ETUDcfaa qoVZXaHqrqwADgcNChvoQ+ScJo6bq8Vzuz5DHVdatGU5V8VTo3y5QsGyyykDGZhMoa/TSMaq RkNTddBvX74RZVtrIvdJVdhxJYbW16cCqvcLSZv2d3399K/FMwxncQ1De3q+fn5aXN/cPALw uHv4Ei0tVDCE2jbcKRh63nCpIzJuYXKUeC6shI28Sb5M5aizKAPtCaw6yYQ2XWmiVWrSigdr qPhgDzokkodtdrvzN9ZlOFowZa5E2Ws3u66StguVkE7YAwO0UULgh2E7EEJPWlXAYetERTjj aTuwCGU5SrlHqRnoLsWWNCu5f8SQVpBatPry4nxaaEpGisvTi5Ci9CDmw8LaTgTNcDWSCxou yKBZ1+4PT9euB3EV1O+Br1egeeEQJUEXwqgCbBgv9OXZiV+O21ORnUc/PRuPBK/1GrBXwaI2 Tt8FNrcFKOrAJV3BSlrN1W+1uvnn4fMLIPjF7eH6+eV4eLLF3bwT1EBlq7ZpALAqU7cVMRkB qE4D82K5tqTWQNS297auSGN0mZmibJUHJDocDnM6PfsQtTD0M1BHhRb0nEIvSynaRvl1AMrQ mSNbrrsKSbIjuXWc7co0PA+664plPoMeO3oBR+WKyVS7DaAsrUJ9Kih21NFeazdnG06TuM7R oQXUTt5OdNNgspgUZs20zGIETwEIuh5IgZlHAAuAAxSihx9ReoKpWdVaq7TqBfw6Q4JlkHM0 XKg6dfZqpl3v/YxWjK4bAWKGhg/QVmDE3PlBB2heRAB0FAqWBAwWwLVYQfcKh5VknxgOih9s l4U/0vMm7W9SQcMOBXm+lswn7gwUTVyZkdT5Vj73jN9imcVcK+d+I5kQaJvx77QoUiMa2Fhw khGMWtkSsoJDmxTMiFvBH4Ef4/yX4DfYIcoai39hqajHb3VgQ1Wzhn7B0GHHngPrC3Rsyyow tRwFy+ttyTR6EWaCLt3OT4qLFalzH6Q6b2vAVIE2j3+buuK+s+0dM1YWsOLSb3h2jgQgPmI+ b1StZrvoJxwTr/lGBJPjy5qUhSeTdgJ+gQXDfoFagaL1NDn3XHQuTCtDU5FvOAyzWz9vZaCR jEjJ/V1YI8u+UtMSEyz+WJoByIFJouSBwktw2EXCg4nOYiAf0z0dzVqPx5Dto++zoNRYkr8i th5auXFO0HhNo40Ej+yTf7qsgrWlicMCLbE892NPTuChexP7OLYQRmY2lfUnA4tCT0+CCIQF Al3wrzkcbx+PX68fbg4L9u/DA4BJAhCBIpwER2DEiMlu3fiTnXdA42920ze4qVwfzh0IzpEq 2yy2SBj1IrBHNvA2auqSZKm4CTQQsoksremhPmykXLJeCpKtARNadoSuRoIqEFU8iJG+IjIH vzGFLdSqLQrAcA2B/vxggNdUaxEssEgMSKZjQppV1ipjRJUXnPbA30cWBS/TWMpqVmseA28w jEX2zBfnmX8gdjauHPz2DZyLlqL6zhkVuX/YAcs3AOetwdCXbw73txfnb79/uHh7cf4mOFmw DR0if3N9vPknhrJ/v7Fh66curG0+H25diR/cXIO57jGmJ0ma0LWd8ZRWVW10qiuEtbIG08td RODy7MNrDGSHgdkkQy+ufUMz7QRs0Nzo6QwBHEVM7kdSe0JwOrzCQf8Zu8nBwXKdk31vT02R 02kjoCd5JjE+kyPGSag+lFDsZpeiEUBYGNNnkc0fOEA0YVimWYKY6kjlAQ52sNU58pL50BN9 yJ5kVSY0JTGCtGr9G4SAz561JJsbD8+YrF3MDYy64lkZD1m1CoOLc2RrQuzSkdKsWoAWZTay XAlYB9i/d16U3IZObeU5F6lTtjD0XssOlk6RGvQIycXWiKKA5bo8+f75Fv65ORn+CY+rUVUz 11Fr47GehBQAaxiR5Z5iENI3/c3SOaAlaG0w7YOz3vl8MC7mjhvuKqNOsVn70xwfbw5PT4/H xfOPby6W4Tmq0UJ5Z9cfNk6lYES3kjkXJCTtzkjDaVhWNTYu6uvFpSjzgqvVDKDXgJdAbhNK E9tzQg84VQaBdySxnQYJQanrcFuyA+TEE1maslFpJwdZSDW2M+/4caEKU2Ue2utLYsuJbQ4b 3t0AFISXbcoxEhWIZgF+yqA+UrcAezhdgPQA1i9b5odzYMUJhuGmJcOoRiPVU1TDaxsdnln4 1QZVUpmBbIHFo0H8fMcCwwc/TbNJL60lrTZVqhegKVQ/CYcRae48FqkBrgHHRIvgIuFNi3Fb OBul7mD4OPNNWgKxrVRX0yV7JXQZs/ahoq78I+z8SiCEi0dNZT2UjWGW9YfkSKpG0TQBYXD6 Bg4sv0it/mB3fEzfHxZZA5DojIqLjF34LOXpPE2rSCPQqtnR1TJCMBje30SqA5z1qq3skS9I xcu9F51EBrtL4LFWypNFDlreKikT+LbIv6l2E/UVxIGYwtOkWMloCoLiQOAMO/XhgeKuGFTG tHC1X/pR2L6YAuYmrZwSrlZE7PwLr1XDnKR5zLnvyy4BpILacUDK2+YdqO5UoMZaZIUIGmxy xpYIsNJE0KaX708nxA6je5vRUbwSp8dUpafKrUrdsVgpwstxMzUh4OF2hYGGlkwK9EMxrpFJ sQYNYYMnXH6a02EVZXErUIQh35ItCU0FkjqeeM/74mDP+0K8HVQrsHJTEq8/Mhpheb1igMfL Uas6e+15cF8fH+6eH4/uGmaU2NFD7CxaW+O5T+mhCaskjTedKZ3iVUp48eTxWOsotqFdGryY maH7cz69mLg0TDWAe2K10N89AtRsy+jm2AlHU+J/mB+m4R88XVtxCkfb3eSOx6MvdNNNLNnI 4fY4URV22GnHgiTRgd10Xzd1AIbnsRS+t3hupomcS5AMs8wQiqq4Km0IIj4NXi+naYOFuwWQ A84zlfvkpSDG/j0jBPxhSYdhCW14REHDoPDyuzYCBdkVeHS8VWC+k9fVCC2FA8QWKrqRkoQL MJB7DRTRrd7uwRXe3ceBpo4UpT9Ykr0GWOPxMRqApCdLJeqGsgdieG3eMoT7h+vPJydpuN/g IJ1K6bBjuJQefbKdGDcHV1QoDGXJ1gZiZwTDpSrgndXWU72VlkE0A3+jY8A1T1+K2BGReDUB nChwN1CnoGmPY29DAMbHt+BQhyVtxaMSp13GjUAnBd2+NdurFKdWO7uV6GfFaxVzpC+ZE5x4 8ZAKABbBLTH8hJPVJkNbjGLQwLPSV+b05MSvDSVn70+SIwLSu5NZErRzkoL7V5eno5Q5U7qS eBnvOaZsxwI7aQvQ1WfJ3qgkamXyNgkUmtVecbTIoF0kOrinoaBLZkNn4UF1YoHXDRgFDjfU RgRsLT+Q2vdCSr6soZcz18noEA4tOqFJLY3QTdkuO+gaXKUgAK98htTSOrTvM43j605xZIYC WxKz7ERdprMyYk7M7UhvTJXb2A1MIWmbRM6LvSlzPY2o2wBOyTeswXtiP7j4WgRgEh4ieW56 e+PTnGbuD3C3Zn/FI+Ev/yoAHR93feDsg/UueKxiumZUU4I33CDi0P6Fe/P4n8NxASjj+svh 6+Hh2U4ILdTi8Rtm1nphjS545EU1umhSd1McgNSOpNa8sVcKKYHr4lVscIl9ia6MKhlrpiVh MAVKUQ/1vCPOqsyWrNmcL95UEbOV3iQjeJ2ecth+cpANE/k45Wy8c5mLS+Fi+q5p/KuXZ6sD FJghsW7jIFfFlyvdZSxilcaPddqSLpTuxmZRp5qGiS2nnenSd4SCYhPeL7rGGypNpKPc0Bse Nx/tmhsuwIJCucH5626Jkm0MyLWUPGdDYDKxE5YZ9LCfAuiTSNqJt7SMaEAdaXXiGFqtkwjB UjcwNDHpsCCzFTTJ4+UNIhe2yHrkkoFAKZVYMOdGDx5EmszzyZ4MxKicN1UseTMqP+qDLJcS RBS8qvn167yvufWgrdICDpkCXYt21EsYGHWlWzhUVm2zlCSPJ/YaLYoTuhlQlEYRCyj8rQmY hakk9ssxayIDLi5CJ9tJfxZvZQj6vMWomF6JfDKIbCnT6TPdYclbTJ3Fm7ktkQjXytmRwl9B 5AB/I+hqJdf7WY3nuyfR+lRkPpHaHsGGeSIWloepAz57dIyRd7liKa09MjBef0y0ZhhejkzC s3mji6mnHeiVHVjFWIBIvgtjneC0GtHAYeAzKLkXMPg7GWF1bssQiBrNZcEnV92Y/FccD//7 cni4+bF4urm+jyIXvf6Yy7lM1B4a5p/vD977F8y6jDJz+zKzFBtTApCZSwUbuSpWt7NNaJZ+ bhAw9RHmpJQ5Uh+N9jHZMCMvM8v6KsiYDq78JeyxS5W9PPUFi19AnywOzze//eqlF4CKcYEF D5FAWVW5H2GpC/D36NOyYEj29GQVSBlw0jo7O4E1+dRyuU5nnikCRislY90tK0b7omCEd5dn Hc29KjJ/GWdm61bi7uH6+GPBvr7cX/e4cBwMRouH0NKM3O/8e0N3WRz/tlHIFkMk6MaAOPnX 391zkaHmOOzJ0OzYirvj1/9cHw+L/Hj3b5cUMjqleSqnoeCyskoVDIBzwkcNUnGeqgLlLtEq CCuDY0nwQRZdofsB/on1gosO5frtFltDiy5XK7nPSyGWJRuGNtES0PDiF/b9+fDwdPfn/WGc NccUldvrm8OvC/Xy7dvj8TlYABjPhiTzf5HElA8bsUTi7UwFSxOui5vXul+ymeb6yltJmqZP 3ffolDSqxftYQfI4Guqxxa/EAqKk/MxBhFmW/rmcPbVx8msnTP+f9RwcMTuHxofNQ1GYV2LX truS7j0wffhyvF7c9v18ttLqZz3PMPTkiZwH9ne98cJLeInW4tPASZbNepO+593gQy9MS03s rKO511j4YgmfP/bRuOBNICa/3D0fbtBJfvv58A0Gjip34mC6QEqYe+ZiL2FZj8DcxYg/W+Gy hTzevgThx9Turl3OQHLqH9uqAcOXJSPKk2QD2/3oE7a1VWGYnksRRk/Dgvapoua1yfDBXNQQ h/liXk0iq2Sd7HmNN/4pgmjS5V0zgB9NkUpQLdrahRTBMUM/w964BPcGli0AdeOLOtviCjzZ iIh2CfE3X7aiTTx2AtfegQH3NCxaNZtwAw4tRm26xOMpg2J98HqG2F0EVJNFdyN3T1xd+pfZ rrhm4SuPIVFGmXxfE4SE2ubf2hpxk6rCMFP3VjXeAwCS4PZglARzTTpJCe2243P5l8ntwXe1 sxWDyIUtWW1NBhN0OeURreI7kNeRrOwAIyab1g7C1soaDBtsRZAHG6d6JuQDPReMythEfZdc E6X2j40k+u+zNmW3aBh2Te3jeHpfpyZSbKuqNeDu4jWMczkxvpUk40OdFEsnb+58uBcx3X19 PJhOSXTihqHCeAtdPXetO0PLRRuEZsZ5dhH2Lk3NA1Mz5V5NXN0SRCEiTtKiet3dpU4F5Mmz u5D86qPcLdeAnrpdtlk8sSigIgG/zSqbdZC7bckzT+hiTTt9PBcfC4FiV8UJzb2eq/FCDVU+ 5sslNnCWzzRtsk2kY05yHAO0yXmWiFFcBecoveWisDpO7yfzyPsbQEYx1dYTaZG3GHtEs4R5 /HgmEuvEdlyjwbCvhzWhkwREEABbvb9sSI0vyDuN7Sd2kFT9Ya0xlTXRrpeHOteIz5JoqiNb dryAmQpes+8NhS5jqpPY7l1wYDE7n61T1KMH7Lp7d5Zxl6Py6rlAyZhdfdAjHPRI94Rfbr2k 1ldIcXUnDsnqKdI4tgYEBzzB7k4rtHgD7gHjHICb8V4HH2p5efTJCJD3YqG/iR/gJhWbt39e Px0+L/7l8ve/HR9v7+6Dd7fI1C1CYgEstUeMJMx0i2mp7C9kcXnh5tz84Tuprw1uiBEAqMUH +ACrKb188+Uf/wg/YYHfJHE8KhzYUJx0af4mDO+7Aq1Z4fMbX+ztYxSF7yTGL550SsMfSScd 9nm/debSuXOOq61f4+gh02stKEmHr4CE+zHhnHkH1pHxBEo2k8fa8WD28hYwklJoSIang4ZX 9pon5SPUIO6gqfdVJoIHRJ22tW+R4+ueLExxxBd4iioM/H4Kcxz7t3mZWiYL3VcwonKMii0x +vsKyejTkykZc5rzsLi/XrUJJYFbhdRtlvIZXXMuLTTuxJUOPQWt4UKKJrxgcPeX18fnOxTg hf7x7RAEeey7EweS8w0+7UsFcADAL8nI6u2SyoVKEdCH94vHmGI0lGBLJxEvnFX1CWMRkzJE Lv7jNCy2F5buyyRifAftOc9QjwuX0JCDYQo/KuQR1/ss3KyekBXpSHLY36CrSPTJDFWfeuGP 2n3WyOZD25M+MVfj/agW6ETJyvtiilVArjJsn9jWPkiVWwXKf4Zo13qGNpgg+2WZfEzWHlnm KXFluU1XnZSP1rV/WWcyVuD/0I0JP47i8brchi5iNnKMd+0u/Pf9cPPyfI2RKvyG1sJmDD57 YpHxuqg0wjJPgssiDKjYQaEnNbwfRBjXfSLAk0PXlqKSN4Hl7gigHFP3/Nh656aNYbaZcdtJ VYevj8cfi2qMzk9zEV7LUhtT3CpStyRFGYtsPo19WNtglCjMu3PAuU+zYiqMSI+JdjtMzmAp 0sYFRsdcvNEXinnmYB8+zrRibRM8pnEL+xGJpW9EuhH7H9IIKZOMk7C8G1tg2kOGXk5EHb8y SdRwiSupBDCXlKKdgsTc5/NoQBma3TBUaRUpnbloSHwZidp4k4leH2HGFKbngI8fvwzMAHz6 oSX3SkEgdA+jANP4x1p5ktWvkd1/902eXF6en/xXlK/51+9ZQkpytVMe5hx+dtErvWpMF3oc 1xY8fpepmDrH4ZUw/JzeIU+pyXtQpOKDOHX5RzBLz3tN1LpqhAgg+VXWpgHk1btClDMk5Z77 vvJ4w0bo+xis3x/sKJMyjNfYjyGkr+jy/n1sH6F4zaFp7BvF0O93j5fid0JjYqn9IhJUMUVJ limT03QJoX76uX0jEX/hZ3Qm/o+zK2luI1fSf4XxDhPdEc/RLG6iDj6AVSgSZm0qgJsvFWpb 86xot+yQ1K9n/v0ggVqQqAQ5M4d2i5mJpbAmEpkfAFRDH6x2OcM3j1R9jSXBXV917StQj00P 6g0kqzygpvDSPqzH7hK739iAtM58avaH4un97x+vf+ijk7MxOGpfvCfvK7RS4pxa4ZfeypAf mKElgtFDWh/1qavNtEZ5wG+zs9NutMAlvd2xiDxsGojgi2mfJSNj17prmVx3aAewET0+6PRJ ZYBTOHmyEbaThpFe2R0UoMko8arXwBsTbVJ7iVOx0XNE8PG49AqALdr6yXk52CAWK8MUHZLW i+lD46aUZCRi1VSFi51nfjfJLq68AoFsXGNDRYFAzWqaD00vKnGNuQWVjOeHMxVoYCQadSis GWPQKS6F3u/KvQjcadmERyUCmR4SJ1eHnpaHEWGoAe4MYLNADwBPn5vDTFHB9h4YcqOqGSLM V4+k4qoj4+zh+4Lz20jU7HRDAri6Z/QWUNJzB0rXf26vHTt7mfiwcS2xnc7Q8T/+48tfvz9/ +QfOPU+WnkWjH3fHFR6ox1U75UB/TQODVQtZgBtYLJokYJWBr19d69rV1b5dEZ2L65CLahXo +hUx2E0aeiwblhRqJK5pzaqmesSwi0QfYYyerS6VC1oJzNHoAyKaGR2FFr26gkHdDhswCYWQ piAH05XB7+XbVZOdAg1luHpXpxSfQQDBD+WViivv52iIWSpkHPbP0B0IMMNw7eSrFSMZrZgb I7jeCvIqBGWohe3VFcnVHxFm6lUriePgsi3jwJJeJ3TH6C4NOB4r2qUimwVK2NQiIZV2e5MI S49EGnhLoh03MlY06+kseiDZCY+LAExblsV0zDNTLKP77jxb0lmxisaqqXZlqPhVVp4qFkC6 5JzDNy0XoVExxsIbPjmmYpCSAq659UFZKwUf/3Q6Q3cfM5ZDMrOy4sVRnoSK6eXwSChPbj0B Jzy8z+RVFt6/iwDmw07SA960iqmpPl4E9v1sDlDEsEtoGX+IFbGk1ti6ck4cdWowRVFwLwY5 bBH4IMOqFgFf0EEmzpiUpMud2aUBglJeGgwKtnlAy16LgUVZoQFES6+1LB+M165yA5Z+C1aO TxyT96e3d88L13zQXoXAWc0crUu9Z5f6nOi70LenolH2HsM96TgdzvKaJaGmDEyhTcC5PNVt WodWsrTZxxTaQaANQZ2v27uhlnQSNc+sH9RQxXQLkzka2fR7xsvT09e3yfuPye9PukXAWvgV LIUTvdkYAcf63VLgBAHH052BKTWgPU4U3EloKr26p3tBYxDr/ruv8Pi4rwYTPepozThfGQf3 1TWDCRO0ehbzaqdHI72QFindZZXUu2fAFdLo2Sm10TjKg0fBikECfn9gJRpIeubqmiKgPLPw gGUvl0gTBzMWBPwQFeBqp8oy61ZIz9DJB1Q7M06Sp38/f3H9e5GwwJsl/A7tregSxv/R4qJj M0osOBjtaA9s4DLphZi1NAqbbSxkYhUAxeVK7l2s16GyomRp14EtQayplF9R3WHUgg8c45Du N0U4eC6Gi0tjbuviEPFzDSZERx02mGJWZ4x6ZxBvYgE3kWldFgBRFCiPIYBBTQDjMiw9bVwG ZgoXLsWUXQv/6ypGb0Qm89bDbFiUWwM5uM+P7io17cuPl/fXH98Bw/irP24hw1Tpf70gaKAb X9vWQBnqyTPg5J2H2fH2/K+XE3gGQ8HxD/2H6wnebjHXxOxq/Pj1CTAoNPfJqT6grY/cyk01 YpZwPd4M8JOpd3CsY1FekZvj7fL7C1i6ffu25y9ff/54fnnHLa6HkucN6VL7aB6Prceo6vCF nOL7IvpC3/5+fv/y7Wa/y1OrpCke+5mGsxhyiFmd4DGTx4Ja8EDQ3mS0Vfzw5fH16+T31+ev /3JBzC6ArTN8tPnZlDOfoodjufOJSvgUPXDhUMxHkqXciQ0GAGaV8LSawZv8+Uu73E/KseX3 YJ2HrNmZ0vX5UeUVitVoKVo7szj+gyVNsSJhWUlCqFW1LakPGDHPznRN2jvkf/+hh+7r0KTp qY1wcFSljmQuChIATXfuac+qZn0hTszkkMp4wtoPRlssJdAHoJDzcUhCecMMQt2+P44/aD+3 V/ksHu3Rvf/tFErjS0PzPKpzYgX/kKQWx8DBvhXgxzpgQrECMGvbbJrxxeRwrAcxZq7sW2Hj ME8pwRfpoMg5GtEABWZ2vcBzMcA+HjLAXNzo9VsJV22u+RZdCNnfjZjFI5rUBxZ0Q9nST9GI lOeud0mXp/vkSpennhUJqO5O9+TM+p6asZriYQfM1CzoJgCAXM4D07gPt/tqlDo0r6UAXRYC Jz19C0WudQkdzbnUqqvvaDzcdBXkEM8VxilSiRkLcryb9+4+Px9f37wAM0jG6jvjKBRwK9MS jgcVee0BMmVq2Y4dTgEASGJguq6wbJyDuUQ37jcfomAGJlzF+Gy6Pl5jMfB4hYBjtEGNmsG0 w0H/Ocl/gNeQBU1Wr48vbzZAb5I9/jf2XdIlbbK9nrvSb3tT92ADWr+ImoKhSfGbUoX+TdqW Uxffrk6TBhGkRLCyMvfzNV1UVuE+7l3FwM3E2FhGI6lm+W91mf+Wfn9809v8t+efYx3BDBeM rAOkTzzhcWhlAoEtKM545WmzAtuWMfuXxajVgV2U/kteI5GN3vkucA9MP/nViWWOGFXSlpc5 V2TEPYhYN+xir4/vido1Ef4Sjzu7yl2MW0FEBG026mJ17QNNsDHCu+rbONdn5WRM1+oFG1MP SmTe/GO5X5WaBJ40C86mdVAaHooJjyzrafX48ycYl1qiMa4YqccvAHLjDb8SluFzd8k/GjTg UpNfGTFyEzfbM21/MenxkQnxbDj3ESJKKM3OJNdniK65Om+DG59nn5x5+v6fH0C3fnx+efo6 0Vm1W4kzCXE983i5jMKfmelahOq4szV0R6hKfBqALalSAWgUGLBcj6GWq5UF2WJSR7M1sSbO 4DP8dSZ5fvvjQ/nyIYYmCBlPIIukjLdzx65qYiIKrRDlH6PFmKo+LoY2v92caHcreMEKb4K0 RAsJf2lOtVCclmiVqNFsbdmh63lXZnaG9XEb7jMjxeMYjmg7pnUn/FJXQERvFQFQWTOrTybN qIeyKknqyX/Y/8/04Syf/Gk9ZsgNwYjhlnkwj3N2K37fK7czdjM5uFjMLaE5ZQ4kpzcmjcCG b1qr+WyKvxe44KVIOzl2EtvswDejHc7k7CsBDt+o3kjxTZSzY5ep+zd4+CiF/Og1MdUrh0IB fJponcBI1r7cfEKENhAU0cDZDwX+ahrSsfVv5OtUph0UYYLRyi0DbqgQDUyoY0h7BymqikH5 aBGgBsOAJVGn2gIjaBWtuVrXRkoAMRurwK8/3n98+fHdtWUUFYa4agMIRoSmOGQZ/AhzGusL QcQed5LuYyZxUrtQip0I2JmkhHVWVPPZ+TyWONjWHq5IWnqm9Tr6DqUVSOoNfdXYf8gNvtxT dsWee15T1aJXKvP1cBEVJ0e/UTpye2KDmLfhjIQETiPfT/f21ww5sNET5YOB1qrwvYHWrby9 LwGJqw3iNajPlefeulkcc+6YMzstX1M7sIBxbxzzwIUIpCJ9x1yB3Qm9BGhoKdvo7Uf61Ngj KFZvscecQw6PM1cocM/jiijfq6G7RHSbyqp9z29fnIN2d7jhhSxrqddwOc+O0xnGpkqWs+W5 SaqSWjqSQ55f8PImNjmEvztm0x0rlDtDlUjzUWcZ4t35HBGl6Ja+n8/kYuqo7LyIs1ICFjks nQK95barGpE5lg5WJfJ+PZ0x95ZKyGx2P53O3UpY2owGF+2aSWmh5ZJCwuwkNrvo7s6Jpero ph730zO6N8jj1XxJvZGWyGi1do41x9bkOPaMl97SgC4QeoN24K1te3nQyCTlbmQw+EPpo7+z bFbHihXuZhfP/D3GUvSo0BVidTOLcDPZyBVewUnmzZ/Clq6Xm5lzWGuJY7DflpGz82p9tyQ+ qxW4n8fnFZFQnwqb9f2u4pLys2yFOI+m04WrTnmV71ticxdNR0PaUkN3ZA5Xzxd5yPsTeYsO 81+PbxPx8vb++tef5gWqt2+Pr1qxfgd7CpQ++a4V7clXPaWff8Kf7nFFwUmTXBT+H/lS6wQ2 RTLwujJA2hXy0rRgxYIgNW7UzEBVZz4a8MfcXMzaGLiX96fvE61yaZX29en747uu+GgktdmZ p4TcF7likWLKsaxGBOeHuXqrO7W/i4q7UgPHxHt6wCZf/Xt4EMVCq9Q8hn314joq8HhH2bTM bGRZDJAZ7i11P0tD5IN0rlh3bMMK1jCBjsruljBIQuQ/xnzXP0dzGSJUu1PeqBtM+GpeOkpJ zUQCD7ejd9JiKfAv7wUdoBh48bSfG6bYtjyLxvuLHq5//HPy/vjz6Z+TOPmgJ+mv7nzoVSta L4t3tWWHQ1c1cxTqaqn6uFokpHWiz9Z9A66jxQj8zXxmv6dRewsIxHDsZgV+gtVwsnK7DTlN GgGDTMZ8RN6hOVU3/d+8HpQAiNj2Gc4yjS0jXKgw/46EUPaAAEpmD5xMbPT/rnxVXVF16EwS 3oeN2uwUejjAjsOdPzB3TZ2weEw1EVVjMs8JWZYdmDsBqTnUr6so0tY+lgcRDHYFwSx8+pJA +lyVSeLRKnO7ZueGc6f+9/P7N90ILx9kmk5eHt+f//00ee6Qz9CdjClrFzDZ9VzyFamutsCP +dH9NiA9lLV48KortMYRrWZnj8zgNtuk8hhSZDP0Iqwhpim1qI6CzWFe5uRBxHN6sr/HeKMt vZ3F8orXV3+UpBW3VrMPvEeSHiQ6FdvfMFPHNCZHNOMht/UsiC0vVjSeQssmlhm7L3POJ9H8 fjH5JX1+fTrp/36l/ERSUXO4V6Q+qmXB/QO6aLqad9+ZLNbbfgl4/ObW1r0bYzFgVObwYNRG uSc5ruzzEp7v2ugcWRZJaG01ByCSA9+yPbCa3nH4g8HjC1xpF1cOfnDg4wF9X38q+H+TPFEF WcdziAN21sBF+Za+GWGxxI8o6ArDtlWS2N7qULjO1/pnczRdYMAFySRHrnZumtbCEHIrL7Kc DBiGUo41ehSD1b5vfGc9f399/v0v0PSk9chhDqIKui3ofKv+l0n68wagiiGjoKme0SuaeYyf aj3qIxanb1PUpdqV4c+1+bGEVQr3UUsyb1Wk9PR0M9hyPEG4iuZRKF6tS5SxGOz5ntqTibgk r+NRUsXxgZfFXO8LtLnKHkUUGebnZpqzz2VBNrj3YpH+uY6iyLd/OYdsnXYeCJ3Ik+a8JS9p 3QL1YlAogYG3HwKR7m66OqY/AIZTiZHyVRYK7sjoKy1ghCyCWRRq/Fuj4KD1FvydhtIUm/Wa fLjFSbypS5Z4k2GzoENCNnEOaxe9JmyKM90YcWhUKbEti3kwM3o22qcZfKO7m5B8TAp9cMzw KWxTUL59TprWsxLdpjAyAgYlOooDale1OxTgE6YbpKlo/3RX5HhbZLMNrFmOTB2QsfVrqsC1 XiYeDr7rIPGRO55J7LvfkhpFT4GeTfd8z6aH4MA+UuqnWzN9TkL18lc3IgnAoRZoJm05PPnY 7yV0nc4NjxnNS2i0X6fQZLSz6x07E5Qe4KZqPfqHgrIZfRsg9UgIeKw7+QHeOEc21A2f3aw7 /xzvBIawNpSmqODZ6kJvaoA73viLxjgni8xNLry7Azu55i6HJdazpXsJ5bLaxxGHmkXkUgjk qS83pddosaXjRjQ9MFfFOZTE38AGziJYOr2MfiIxDp2myFmtD+TY0eqYh2Kd5H5Lly/3F8qi 7hakS2FFiYZRnp0XTSCMR/OWo+OYy5Wnq+z0dKM+Iq7xINjL9XpBb1PAWkY6W/qstpefddKz 71dDF1r600I3y91ifmMfNyklz+mxnl9wMAX8jqaBvko5y4obxRVMtYUNi48l0Tq/XM/Xsxva hP6T1x4aupwFRtrxTAbo4uzqsihzemEocN2FVgr5/23VWc/vp3jxne1v93Bx1Psi2iUMRmNC 3+U6Ccs9fsxP7UjkHCeFhV/RX7IVBQ5y3zHzIgLZsBcOLuGpuKHpVryQAC6LDNLlzV3yISu3 2EvoIWPzc8AX7SEL6n86T7joDrEfSKwHtyIHsN7nSMV6iOGKKQ88X1XnN4dEnaBPq1fTxY0x DzFZiqPNeB3N7wNR8cBSJT0h6nW0ur9VmB4HTJLzoYYo6ZpkSZZrPQCZ1STsQAH/Azcld+HS XUaZ6XOt/g/jsAUsLJoOERPxrdOXFHqpxFbr+9l0Tl1go1TY0i3kfeAxS82K7m90qMwlGgO8 EnEUyk/L3kdR4KwCzMWtNVOWMTg0n2lDhVRmW0Cfp3JjfrvZdYcCrxhVdck5o/c3GB6cNoDF EDxeBHYFcbhRiUtRVhLjZiWnuDlnWxo+w0mr+O6g0JJpKTdS4RTwcojWIwAJQ3L621VGPj7n 5HnE673+2dS7EFYfcI+A2ixI4DUn25P4XGBXFktpTsvQgOsF5rdO9n0AY5+29UpgZxFeIluZ LNNtHZJJk4QeDVrrqQLjBMKXN/47soMyo7XR9lli2hy0u4SCtquKXmglfYY6yE0LI9BZtPsU wNLnOPqbgbnXB5GAvQrYFd8y6cfUOPxaZeso8P7uwKe1U+CDErkObLPA1/+FjqjAFtWOXjJO 3pLbwQs0p4QyIoL4YPbM7dZH8RSySuqfV65uNHcZUr1wprkbUe+yHEsWwe3MAQSrOyoGWLUU XlAyuGTQY7EWMsd4KkSmw3mMYnKtWwbbtGY4kh/xej2EYroOAS7D9d516Sog//mSuOqHyzIG V14YA4r1SjIoE5PTMwBF/DKG3/gV0Cjenp4m7986KSJK4EQuzkZzNHdNtItkfgYDMr18HT4J JQ9NILJRz5VF8ObDxiaGL0ZMjaSgN1JzA0XgNQzat0zIjeiIdFz9s6k858/WkefnX+9B1xFR VAeM4QWEJuPkLLfMNAXv6Qy5XlsOgMUgT2RLtli3exRnaTk5U7U4t5w+qu07PBXY34m/ebVt zP2ih6KDOQDOQcL6eWIyrrkeMueP0XS2uC5z+Xi3WvvlfSovNOKPZfMj0Rj8aK+ync4JBYrY BHt+2ZRe7HlH02tttVyu17R1AgtRh4hBRO03dAkPKpoG9ickc3dTZhatbsgkLWhTvVrTcFe9 ZLbfBzy/e5FtFTAxIAkzZgN4Vr2gitlqEa1uCq0X0Y2usAP+xrfl6/mMXqWQzPyGjF467+bL +xtCAejSQaCqoxltte9lCn5SgfdaexnA8wK73Y3i2kPpDSFVntiJ0e4Ag9ShuDlISr300JcK Tr/O9eS50WcqnzWqPMS7ENzrIHnKFtP5jYlwVjdrHrNKHzFvVGtDgko5K5zjvFGa1+7ljCA1 LHOhyAb65pJQZDAG6f9XFcXUhz9WKeTTTzD1ORmjgfci8aXCYT9OuSLlG/Qm3sAzCNEeDMnA 5RmoKfHuGq+v0nBCGerNQV8krWROFcwAEWQFUnh9zL+0H9jH3Px9NXuyxSSvLX60l6k+92fc VCiYpx48y/u7xThtfGEVdTlqudBc2GkZ06/yyG84yvP5zNi4IsElvv32fjDprIP1HaSsD+94 jwfM1sAbwUbEoI0GEMqtALSzVSSuSAUed6hzsfCe5zQkDFEBFN14HiWdzscUMyZKjz5LWq9z Xz6KRpSZT5kjg3lLo5dVyySPQy1r2SlHu8fXr/Zh2N/Kie8wiz+BCMzzJMzPRqyni5lP1P/6 4RWWEav1LL6LQkEqIKIPp3rqER9j2ZnYoBXVUmt2GhfWutNcy03zIIaKSFvHVxOyqq2Gf2Tp NoorX2iVJBmyQPCa9AbYspy3jepRmkJqZZSgZwuCyPNDNN1HBCfN1yZKqXcFo4bLEEtAHILs efLb4+vjl3dAfPKjtZRCgTDHEOL9/bqp1MVZtWwQTZBo3177OFuucFuzDF5ztLBIJIByUX4u vbu5ZisDfq0AD9MCUxNZWbb0/AVMWKgiDZSZwW0GlB3AMEKGWw6vq5CV0Ky9x2sBAV6fH7+P I67bVnDeb8aM9Ww5JYm6JK0UGHQVB3CDkEPY8y4jWi2XUwYvdovW7Z8QSsH0s6d5sXW9DFQP P+yBakSat1yJom4OBoRmQXG7l7+viJj3HRL85JfLz1kBQK80Qo4ryGQFb/kcoSz6Qw1wEQ5T xN0E75KG+bVkgYQn9NoaZoW+q1az9ZoyA7hCWrMN9HYuqBYDtCDC496GzP54+QBJNcUMcBM2 Qzhnt1lBM2aChBtvJfC27xCDw+2TGxDa0qRIBUavRIwur+AmAJJxXJwDNvVOIloJeRc4kbRC 7Sb3STFw2KZVJix6S6y9mqjkSNLLzvXgHGjBdgSennhmVnyMRsXWVWi31cxUZnpYkZNkYAVL NiKiSDN+Dmcx8IP5xHB/aBDixFbEetmuiREwFqJHQw89ghZur8Q8VnVmFAaiJPNoYuAiRG85 YCYvFAVBsTt2AHH/Q9mVNceNI+m/osfpiOlt3mQ9zAOLZFWxxcsE65BeKtSWpluxluWw5F33 v99MgAeOBDX7YEvKL3ESRyaQyFQEGKBqnoCnfVqYqRvdUnZ1CdJhk1fyfTin5vivyJRAcRzg XjPHMHyLtM4RfKErYqnSIj3Pl19e0dFoZD75HF4QYGZqpHOK/sXbvV5DdFHb7nZaBbf/SdmH 8xhIeMlzJvEIASDbKX4yFtSwpFuglHzYs+Di2pQgqyEZm5PitAf11VK5yKnPmkteHljE7r3w 0JFmHjAi9tmhyG5Fi5f8hwz+dXTfyGTOVzJtrR6pcv0mRtRz+ZUVJZdJPDDHy6aQxSAZbY6n dtDBhmUqQbsaQxKd7aXQCFm/VQmnAb0d9+3ljmoUG3z/vvMCi6oNoyUbQ1TK0qHFTwos6tWd dtYy0WADJpcmU5CXR4b4bP2R8YDltGYqM6FLPuGs07xQgQaa9yjKI+2sK/k3akEo3asBqoHK NS50IqSS9fClnAbilHqHAMT6OPvoqH98eX/+9uXpJzQb68X9ThECBx9y/VYoc5BpVRUNaWc3 5j8t4gZVlK3ki0A1ZIHvkKFlRo4uSzdh4Jp5CuAnAZQN7idUcdCrlqJ4PCcpqZawri5ZV+Wy 2rjahWrRo5NXVIIsxU/HV/NASb/8+fr9+f2vlzdlrIB0s2+3WvSckdxllBH7gipvWrUy5nJn ZRj9di4DYnRIfAP1BPpfr2/vtNtkrVKlG/qU64cZjXy1rznx4hvNq/M4tI2S8fUPkeZak9IW XyMTRxtTpfbeW9BqMmoaQF1ZXgKdv+G2m7YyhaknTIajWjIrWRhuQoMYqcdjI3UT0ZIywifS r/SIdNzwi38kXGhMLZoXkNWlPA7f/n57f3q5+QO9uI6u+v7xAp//y983Ty9/PD0+Pj3e/DZy /QpaDPrw+0XNMsPF11wX8oKV+4b7j9Cfc2rwykNlnVN+bYxYURcnTyWZNeGLm+zQSj7M5Msx v39SaTCf5oqpSH/rG2sdK2tQYK3fTSgjxo5R/IRt6SvIzcDzm5h6D48P394pT+W8J8oWz8OP Xmb0ZtXQB3G8wu22HXbH+/try0rbGjKkLQOxtdZzHsrmDg/AreMOfcCN19C8Ue37X2LFHFsk DS21NcSaa12htN4ejrb6sEoT/mbi6FLG2kvCD4z1BcHCgqvtByw2Z8myiCCl8y1msBbzONbV 1NHQQdYW4A9FnhAH50z20v82rfuc/OUZXdFIkTzQ2QVIGUuWnRpVCP40TbTEPtKxKT8yUgEk zKoSje5vuWhNtEXi4QeMSi0mZJzpc5l/on/rh/fX7+bONnRQo9fP/03WZ+iubpgk10z3dSjb JY1GhWiBYo2XJhkoPTw+ctfMMLl5wW//Jb9ONuszN0+XUCZn5SNw5XGa5JAIZSNkL5MfBZvd scm0Y0/MCX6ji1AAMZiNKk1VSZkfex5Bv3SesyHodW4S66zzfOYo/vYmjEGnki/QZ4aLG6rO vGZkqHf0PjoXnF7iOCLtrSeWNiuqdjDrvE3vhj4tiS4BhbHv705lcaYqVd01F37TvFKmZl84 Fwn6laLVzSWmTdM2VXpbEFiRpxiE5taE8qIBfZjMUbxiHHM02lBCnwC00oKqOJdse+z3Ztbs 2PQlK6bbdiPzodyjZ83V7GtUvlKisSyIq41jAsWnI2y/2168r53GPKwdysnxSODOUtEX4ehP NXS9iaPdabIFlytUpy9TLmX/SX/VJSaT9WaaZ8buGBm0m4OLx12Zyo15nEXxE65lXx6+fQPJ jZdmbL48XRxcLlM4ArUS4oDVXkmYxh01goUOOT9+lqn5Oe22RkG7AX84LjUF5RYTcpiAe/1I kZMP1Zm+t+RoaQkbyEH+WOlEBijnfb1NIhZftGqwtE7D3IPx1m6PRm3EUbotR/jgmTwHOfF0 ScJQo832+dqXuO5GrUaN8k19f7ETwmbz64jifejKCNnFbpLoRZZDEpttJI1FJsh3XT2Xc9mg SxedytwoCxK5OavVnZUYTn36+Q02Z01NFd20Ygs5MjSU9b8YZOerEFLNSedQVE9v60gd77bU gvkZB/nSc4R3SRhfjGRDV2ZeotsfSDKm1iFiZdjlZkcpvdCX922TatXf5rETeolB3YSxW59P +kQHPUQj/Z4299dBjuwgplrnbwLfaFrVJXEYUWcKY2eqi//cw7iTk+RQJ49mezq1Y1HouXo7 OXnjOuYn+FRfEurEQqDClk/L7Jht3cAYNedDyW4LvPw/6cvmuU58c+4A0WgUEDcbxU8m8bnn wFjrw2A+blE++JBcjJEN0oAcgWocs+UVPUFc3chECgHJ/kU51OeZ77nmQGdtnp7KynLpRDRF mIqDtrraREVpnbMjkqnNBe3gKFkJ8PA+vED31/99HhXW+uHtXSnw7E7xXdHEt73I6efIr8wL 1LfFKpZQJ04yi3uuqXxVcWWhs73igJKovtws9uXhf9SoQJCTUKnR0QV1bDMzMOWaaCZjo5xQ a7AE0Wu1wuP6a+XyXCJLyZ5PA4kTWlLIU1kFXBvgW1vn+9esp2QMlSuhc9b0HRmKE0qSUjks 9U0KJ7AhbkwMlnFQSCI8D4mZnuiLXIGik31S95nCaXaVcock01eegyls3Fc4VUaeCkapmXx5 vWJctqMiqo8AZ6dHIl+DVxh4DDM7vE0HmId31yTp6iRyLC53DuiCsOfiixPRlvZTRmk2JJsg pE6HJxb8/JGyyMgIOXQUBmnkKHTPpLOtdNwwNUMQF0tc7nqBk1dbtv3kxZq7AL0W6cZRT9Lx AALPc0TJq9mDkODG2qt9GxO1CissnrxZT+0GIQ4+n++bSMk6zFau+QRBdgm0iihw4kBByYup tLqKaWTNO96sTjX4UeiadGxaEMaxiQirrXZkicKITDwJYUZF4dMGbkh9WoVD1ullwAuJKiEQ +yEJgNhH1oPVWz+IV6oxCoexOdL36XFf4C2ntwmICdIPoUN9+X6AyUpU8pgx13E8ova6FK6F ROB/glyT66TxVFucRQhbNOFalrCxHF3kb8vhuD/2iiprgNTQnJnyOHADMjki9Oa+sNSu41Eu HFQOqfdUILIBGwvgu3RVa9eNqVEhcWxAyqByHeKLawECVZlQofVmA0fkWXKN7bmSzvlnDuaT cRJYBhqVawK3CTrUo8q6dR2EVj/uLq3d8GBujHrp+AaFKa6b53ptXYesLxqgEvTh0pGfl9sD 6fXVeZhQKs3EzI1Wh2heVBUsK7VZoTK8BQ1rawJ42uKEO6o4fhDj7SjThoUl9OOQUanrzPXj xIexYLllmrJg2YG00JoZBlAejkM6FMys/r4K3YQRDQbAc0gApJGUqjAA9F3mzCDucykpb2I5 lIfI9YmBUm7rtKC+y7buigv1vUJqvOE14TgR9ATigEyj/p4FHtVWmAm965GXEEush6aADZtK LfadtektOIgKjYBqn6SAG3Loo0GPG66NfeTw3NCW2PPWPy7nCehXvgqP5c2wyrNWURRaIici NhKOuMR+wYEooYFNTE6/9OK7sb/2hTGECrnYcsDfWLKNIlIiVThC8iNyaLO2t4la00Ogzjp/ fYcesigMiOYUzc5zt3WmSy/zN6sjnxw3dbwmbwBMD7d6df8GmPiSVZ0Q8x2fVZNUYvQAlZpw tWVCgRCxWskNWfAm9HxSxOJQQGuLKs/autFlSexHREcgEHjkSG+GTBwIlWwgg3HMjNkAk4j8 0gjFqwILcICySi6mCG0c6gXhzNFldXwhlnl+0r6RpmCnP+mdOWubsbosOXqrbdgW1bXbkUs6 xu7KdruOfnEz8jSsO4L62LGOrGLZ+6G3OkGBI3EicvyUfcfCwFlNzaooAaGCGpce6LqRZe33 NnGyvnH4iWtbjkV1TcRzYt+2yAG2ulWJVY6aw4gEASXco2YeJcTC0V0K2DTIqoD+GDjBBxsf MIV+FFPeOCaWY5ZvHEocQcCjgEveFa5HKA33VUQK0uww0Hs3AKtDCnD/pyVhtppQt46chei6 gI2TGGUFiLSBQ64fAHmuQ/u/kHiis7c6wtEXXxDXxJY8IRuiTwW29TdEnUG4DqPLBY25ya2P 454toU8otWwYWBySVawjSqoBBcD1kjxxicGb5ixOPAqAzkoo2aRsUsXIR6ZTKyzQfY/KaMhi YmYPhzoLifE51J3rEH3P6eSQ4Mj6mQOwaCseybIu89Rd6JIVQA9/WXf8QNkEriiJUrNlp8H1 XKLfTkPi0UcX58SPY39NXUSOxM1tiTeu7eG3xOOt6YqcgxBcOJ0Ym4KOSp1qaibhFSzUA7nf CTCyxd5auGCCHSj7V5WlOJBauLgUWC+CXwsYFoS0NfY8w/BRiHYzMWPDrePKJ0lcvlLddowk jBwylOiRghIdJqaiLvp90eB78/F9GJ5VpHfXmslB8CZ24zLF4Gip/pxADB+OLjCuQ1/KNosT nhfCKnvfYuC3orueS1ZQbZMZd2nZi+fEqxWTk6A3AnQ2ZvEXOSWx504wyvUl4G3a7Pl/VHPs dRoZuSWq9LFHcl6cdn3xyQSWz3us0kFzqT2BaOxFlDVZT0i5SoEe0Zj7RXmSv5gt8yCPfBxl VWo5+QNh6drd4oVY3U0lUKbbPC/WZtd8gL2iZTvt2ZzKoFWVTzDg8APn8kGNkYWqx3y/uZqX WpvtZQB1oMzM7zF2TXZQJqwSv9KWtfmcc6JoPTKTm/ac3rWqt74ZFO9a+bO1a9HgZKSW7Zkd nXFxm2bMzyHyMywUef+eH94///X4+udN9/3p/fnl6fXH+83+Fdr19VWxhZhy6fpiLATnAtEm lQHWw0oOOGVja7Rwzh+wd2owXYpNXkUmdrXFho++ZVdod8OcKX2/KG51SKaRRVj3GGNCIQsv N2VTDlmqRW6YT1xW63HOU6hpTl3Nj1fhxKgUV+AmMD68N4H7suzRqEBClqs4YTa61hP5mchz NLQiEDzj8i8XsrR5yVspjg04tV0i5zT7dMQoedBhcqZpfhrdgdE9mVZljc/lxnQSNXYdV6UW 2+wKynCgUvkVQVKoRNah92eQomWfRpB8Vw5d5pHNL459u1LRchtDhkoheGrOZMuJdAe7l9YB ZeQ7TsG2tmwL1H/UbKHWRi5Im32Sd5aHwHjK7no7PbskVimHjuyAQwdc12Z63K9FFpw6EbQl vR/46Zfrq8TmpPZ+5OjtBOk/1NuJyuJkHWvpMWTx4208t2rZ0rn1oSUZ6htK8ZPka1CTON7p WQN5M5JJYSE73GsDEAZb0YFm61OuCOa40mqXlRvHv+i0LHbcRCXCAnZNPW12oDdfQZgsGn/9 4+Ht6XFZlLOH74/SvoPOuDJiCcuHbglsfWRbWzZz5wDPkhH1xdCxd8tYuVX8bsghoDlLVvLI 1hLrMi4W3FIAy8t2NfnEQOsqwCCcIdgMRbZZnZJ5I2Bs/fyZ9L9/fP2Mr50mT1qGslPvck18 QcpktaRRmR/LCu9E85RDXy54cctuz+IlHpOlg5fEzkpcIGRCVwhXdJuStZQx48JzqLI8UyvG fSE68oEHp5rm0TwXfBh1oWia78Ndblg6L7SRV2kDf/zi0rdmM+5/gCfUmfWMqtcXC5m6veAf h9tlXfRESA093RuEyWKvK8KWG+IZpk8AR1hzqy+Divk67/LMxWg1JJH6EIcyCmC9wg4gyjgM GYiRrMykoxGkQUbTS1gpL7F4fjqm/e38jpnItOoyfNWy5IgEJhMW5Yl/GNBbzuoLYhXPDkOO D38tnSS4VfdYKl17FKWByiNuxPgLgayGjbjVu+AW1MaK0lgQ5NaT8iH2QgwJYqRPPdOwbaRq rwkWamjMAUFPaBfQC8OGur+c4STwjdKSjRMThSUbzz4zOK7e6xI4fRbK8SHyyWthDk66hFpV zZZeQkCLosK9IGTaRE4UPKUmqKol+/iQgthRlocEMnGywlOrl4VDmNgXiv42sRwbc7QJh8il rrMQZUVGVI6VQRxdDG8IHKpD8kKCY7d3CYxTz0xDuoVNt5dw6ZtFPdn6rvPBTsiGuiNdCSOm vVRD2lBe09r3w8t1YFmqb43zCx+FlsRJorcE8qlq2vkOHy1pBeoHfXTXsch1QktcUzTbpJ8X Cig2didBX5nOgoEMCjXDnmvMXGwhNJ186iXhYaQtXNKzJLMaSWTNjni2JNHXt19gglWVjKI1 qdvm2J6Q9Kit4gBgVDRj4Elpz5XrxT6RaVX7oa+NIOP5FidyfUhbmMZXlErbqjY7NOk+pcwT uDSmv4GTiFa5y6NMDnjD6lC5rJporqPTcNnW8+ZU+woEcEBGdRpBX18Gx6McQ9LUH5QtNJJX vDOTl8L2UONRlpvoctKEjKbL6gI6p/Ksq6g4gtEWUXzYb3RVlm/8QFsFZD9ONgVlyrkv9nhy rni5nkjChloucoF25QX9nrbVkFqCay686MjuKFwrsmNteZewsOMFAb8fIBMY7CDi7GFBoOq/ yElEMaNoRAsNCxuqaklEix4ql/4MhWLLQ98ysiWmBn5Qx7kSyzgxq7x16dZNHDCO8DDpoyK5 5vkfMHmU0iOxaHregpjqooTpNv4KpM4uGVpUTaK2QglbrS2wePKKpCEuhezSJvRD+QnDgqmy 2kIvWbXxHTIJWhR5sZtSGIoRseXzcoxWBWWmJLbEh1eZQkr/1Vgisv6zWGMiYr+yQVEc0S2b dJPVGiFTKO97CjRpMXTuXJv5KPckCsiqcyiyZ47Ky4d5b0LPXnPZeEDCRsVbF25VjjihtC2V J9nQhWedC/1CY12ShHR3dJ/ijbWvQakiH3YsLJI6RGTQ7Y73lnjkEtMpSZyInMUcSuzQhoRw fybphjK1YMyru5TUY1Qe5lrmMwvrJI4+2osmhegjtmofWmNISmxCyviIC4p0Iup9pcKTeAG5 SqNxnxv55LhCodzz6W8n1A3P0t+TFrNaK87k2ovW1RUD/WijnpSNj9hW4htJQhLa/6y2Rxdt VSS0zEIhuFKmFoaqjpSmHcpdKZvk9CPbi0TA8HTz31UpexLvs9FxtBo1tMQw5TNE9gWw9Fn4 MUv0Ecvvpw8LYm1z9yFP2ty1FJPEckj7bmKRL+pLXFGL6+02/6iUS92tl1GK14xUEX1W1yuJ +adAn9fKl+jR13IJI6RuB4vHvx6DwtugQ3kJD7nF6aKo7hqGTqltOHSZ5nBRST2ARlBaO1KE orCho3No66gq8j61BMLE7zz0RVrfW+KZlv3k12etfuW+7bvquF9r4f4Iwr8NHQZIWlo+dNW2 Hb7n10aIcE1lr5Rw2mLxu4phzdFTvRW15AvVuWzbyzU/kQfYGLp1uuH+l+y2+eXp8fnh5vPr 9yfKW6FIl6U13gTZL8gFG3Rj1e6vw0kqSGFA7/4D6KR2jj5Fjy0WkOW9DcJVdIH06rfN0GN8 Reoznsq84PGdlywF6RRUHkVTjykEPc1Ppt4uIKGz12XDQ+Q2+4IymOT57s6N4vo/P20N0RNp dZ1SiipCImK3zJteoHJph6GC/+VGakb5XZPiDQyvHH3iydm4M2tWcM+OMOYZQ89llhocq2Lu idFFHI4vwjxOfBuM/kyMK40L3fyscWHJk9u2KXy2ZffV2cwvBi1tkZW6EIcRSGQgogmJ2fP0 eFPX2W94Kz6511XttGrGr8whORWyVUyA+ZP9rdKHIg3j8KKT8ahfPgHgnarRhN9glbakdn0z tUybG60DU7aqMfqSscW9NJZR94lFXEY0Z1ty1eU5w7Au+W9EoSAd0BuShFMHKjyKegF7sJwn j32e4rbd0I4UeUPSjcWeX/pqERlrTlQpTePYiQ7m195FifwGX5DFAfY07Iannw9vN+XXt/fv P164E1zEk583u3qcdTf/YMMNtzX5RfYK+/9LOE8hEfYSlrW+RifZ2kq4Pe48TcBd6MSKyuk1 dK9ssC2lqNOqajN1LXn4+vn5y5eH738vPsTff3yFn/+Erv369oq/PHuf4a9vz/+8+ff316/v 0OS3X8zFhx23MAu5J31WVLDA2be2YUjlO26xUqD0AJvBy+IbsPj6+fWRV+XxafptrBR35vvK 3VX/9fTlG/xA7+azW+T0x+Pzq5Tq2/fXz09vc8KX55/aQiKqMJz4HQg5+kaOPI0DnxrxM75J AsdcB2HYRoEbUuugxCBfXQtyzTpfcTwnyBnzfdXx7kQPffJ16AJXvpcS9atOvuekZeb5tHAn 2I556vrk22WBg64Wx6FeW6Sqb6FHCaDzYvZ/nF1Jc9vIkv4rOr3pjomOxkIsnIh3KGIhYWIz AFKQLwiNLXcrxpY6JPVb5tdPZhVA1JJFuefghfllbVlbZlUhs2opI3jePdDI2Q35BEzLuO3S /tKz6yulmZ+xMOCneZz1/Pjl4dnKDHpG5MrfBgvybohdoq5AJsMcXFD120lBPvYOLC9X5FmV cXiOwpA6crs0KVJunWTyqJOHcxu4m5HoXwQsMb8vHJHj0FbRzHHrxeQ3ugu83TqGODk1pKgu MU3O7ehrPhWknsS5e69MbWIARG5kiCUZvUBMSym3h6dLHrrSgrlc7TfOQT66ksZWZPSaIBvz A8n+xhAdJ29N8jGOiZ4/9LH4jlS05/77w8v9vFxKcTA5WAJV0iI5Lf92//q7zigE9fgd1s9/ POC+dllm9XWhTcON47u06SfzqAe862r9qyjr8zMUBks1XvhZysJJHgXewfyWATTKG757XZJK qiZ+VCxkL7a/x9fPD7DzPT08Y9gUdRPRJRv55sCuAk/zsjDvY/r9vOTc9f+xo4mGtYVexTV+ m46pm+1wqvlZmJDjn69vz98f//fhZjgLSckPPVd+DIrRqi9IZRR2OZfHRLTt8Be22JOPqA1Q nqlmAZFrRbex7KhBAbl+6FqrzmHyoZTEVQ2e+jBUw9T7EwMlX4ypTF4YWrN3fUvDPw6u41qL HhPPoS/kFaZA+QxdxTZWrBpLSKi6KTLxyK70zWzJZtPH8mRSUJyiyjsaY0zIX0DLaJ44jmvt dY5a3p3qbO913lwPz1ZWtrFdXKhFwY70PlsVx10fQobXDPq5XiewnOiXaMrE9tzAMnWKYev6 llHfweZCnAZdOt933I76nlQZvpWbuiDijVV2nGMHzd2QSyi1fMnr2uvDTXre3eSLlbJsY/xs 7vUNVtj7ly83P73ev8HK//j28PNq0MjbDB6A9MPOibeUR4cZVX0wCOLZ2TqKI4ULmXzJNqMh qHdUKqDThjA/i4L5ZonLyuE4Tntfc6dAyeIzj5DynzdvDy+w7b5hKFBVKlKmaTce9XouK3Xi pdRRKW9KoU5qXr86jjeRRxEvxjiQful/rLdAv9u4VhlzVPYczAsbfFcr/1MJfSr7a1iJW62r g4OrGGtLR3vyU4JlpDjUSPG2ep5iJFBjSiPi1umoTniWrnAc0rP5ksoLXTWrc9a741YTzbIa pK6jPj1aQSFw+rZhLYwy7EQezJw+IstQL0+QqQ177VqjkjjkrsyOoYedkl58+TjvfYe8s+fj ZheHzA2NHoH2RK48dIebn6yTSq1sC8qMdX1AcDQk5UWE+IDoGZLAkerTW988p23ztgw3wnUw Mco2tq6tx8Ec7zDXAmKu+YExhtNih7KvqBhhMp6ouaX8w0enIqmtQd1S41q0i9KfEGb51nG1 eZIlrpkPzlifVDBFL6Ue7KSd3ndA3biZRu6G0ot9hyJ6JBHtHGoqhPQ7AN4PqQtbN15LNKmx V+AwTuY94soAxkUkJh0hroL1XGrG6IuyWBijZRqxoYfi6+eXt99vGNizj5/vn349Pr883D/d DOvc+jXhm1g6nK1bFwxLMI5HXThNF6CHFkvNERWvL5REu6TyA8ubCT5v9ung+45thsywtiHO VNmLjCBD7+l7Ak5pR9s92CkOPI+iTSAXvQkzct5Q7zUuZbiX9azo07+yoG1Jdzvz5IvN5QGX VM/pldLUnf9v71dBHlwJfqhGaRcb/3KOmD7+9vh2/03WfG6en779e1Ysf23LUm8YkOx7Ct8X oX2wD1inwsqzvZzU9FmyRPZbjl9uvj6/CPVHrwEs1/52vPtgG1v17uDpIwtpW4PWesbSzqnU 2S6C+M5zo49aTtSntiBqMxtPAnx9bPfxvjTmARBHY6KyYQcqreUJ0ryehGHwL1vlRy9wAmMa cOvKs+/1uOj7Wq0PTXfqfW2asj5pBk+7bj5kpbgAE534/P378xP3IPLy9f7zw81PWR04nuf+ /E643mWDcOzWSOstpQzPz99eMZghjKSHb89/3Dw9/NOqzp+q6m6afRmqFpZhSPHM9y/3f/z+ +PnVDJXN9tImCz8wEo3s9A9JRnh5JPYFdbWMiBJSXnyCuB+kC/nznmH4a4PAb+n37Um9oUew vy0GDPLXUF9ipnKIMvgxVUVbgCZYKGMGL6qhcadxieJN5zS7bq+0LLMR79ynHF/UZf3Qq6hI 02dljuD6OA2xY9XPkarVNEjPdyuk1pRnCPWt+mEamrYpm/3d1GVkmDpMkO+gRYojIgNszlkn bhFh91aLEwxlxnh0zZ7Hj7EUhFHYJzD7U/nmU5cy/WgAwWHQBAuEKcUv39k+m9qmKVX43LGK FB+mo+j7rJrwS3qbyG0YpusP0G4S7WHwXULt4mnwfAFx82xcYiqyEEHjQZMlLbuZoS9KV55x C70eW35eupXDwRng/PRSOqm21U3oZV0l3RTIwmmqLFWCmcusarM6lmaW52wIwwoCs9i8K0ja m5/E9W7y3C7Xuj/Dj6evj7/9+XKPnwrJx+M/lkAtu25O54zRXzVy2W1d6uqHj7V9pg3OM4wY jVLd7vORosEkSlQPYHxYVSyg9ygAT6k22lk/6BlUe7b3rDkkRQdb2vQRJr6esEtYh957DikZ tvjCUp5TrY0fx1LPbNckB8vDKBRA0Q0Ys6+lPjxGhpbV2cVtWPr4+se3+3/ftPdPD9+0QcgZ YSuAPLOuh6VMduixMuyabDoU+DWDF21TimNulVJNgYjrEWtbBFOeFXfoSi6/A43Q26SFFzLf Ia3tS5qiLIbsiP9s49hNqFoVdd2UsAO1TrT9lDCK5UNaTOUApVaZE+i27oXrWNT7tOhb9CF4 TJ1tlJKXu5I8MpZi7crhCLkeUjD6tnTWTVlU2TiVSYr/rU9jYXnxIyXB6LLctVEz4CdvW/oq UUrQp/jHddzBC+JoCvzBtrGJBPA365u6SKbzeXSd3PE3tU02HevbHcYDBiVgaE4wcJMuy6iw BXKau7Q4wYyowsiVHVKTLPNlLVV2kxy5ID4cnCCq0VawTd0lQb1rpm4HHZ4qxwXreGVVf4Kh 2IepG6bvsGT+gXnvsIT+B2eUr3FIrpgxSxv7rDg208a/Pecu+fpx5eQP1MuP0M+d24+Oa8lQ sPWOH52j9NbyhIzg3/iDW2bkvYk83wcQcjFO/RBF1irgYxWWjBtvw47ko9IL69CdyrupHvwg 2EbT7cdxz+g8YeK0GQhzbFsnCBJP/2Ju3uS05VAucNcV6Z5eABdEWVFXA2X38vjlN32HT9K6 J9XiU7XjWnbK6M/Tud4HC+qEb/3tLFW2ZxjyCJ0kp+2IX4yBTreLA+fsT/mtRaqoyLRD7W9C Y2yjmjG1fRx62pgGjQn+FDF+afddBYqt4416C5Hs+bYVcjgUNQZVTEIfWuk63kZPPzT9odgx 8RW89oLxGiN5lIhssDLlrRaTaAb6Ogygk+i7ANQR+ONyGM+sHkN/E+hZyHgUkyHcFLa0/buh XOLrlcB1rcDF3wAFq5+p6SkTfQBp08Acw4oZNtTsXJzVkmci4bgV29kl7f6k2YdjbxDynV7r feV6J58+GwV4zAxlDz2k5bDYDFltUxXOu2bkb030tCVOnrurKw9ss1k9cPtuQl+IR60VGAG9 Y3XaVMvCkL/cf3+4+e8/v34FIyDVtX6wPpMqxUA3az5A4x9h3ckkua6L1cdtQKK6kEEquySB 39wL6jnrmfnRAlYB/uRFWXZZYgJJ095BYcwAQPnbZzvQuBSkv+vpvBAg80JAzmtt5w6N/azY 1xP0ZkGGPVpKVB7togCyHPSPLJ3kOYLMsMhCJ6nCYcmxLPYHtb4VLLSzIapmjRoxVnUo6j3Z y7/fv3z55/0L4QwOJcfNBSXDtvL03yDCvJlAvQRqLSQpiyW5A+3KcvIGMOvU3mewWIP49FyK qh/ohxE534xcav3L+YUF07LK8sKWUU0Hd8Nzl706ENAFL77X7rXMezflHz/TudQwlwu9PoJo dfaychixVQ0OeXTIGXTFmfooFuUayeEzgFBmMaiisTqDWAezpMHVYo5jL2WA53V03noo5Qtp qjBadA3qsZbZAt/1Q/HxRFtdK5tFFjOqfG6EMuCHELpgOFGXvYFb5SrgKx3DhjtXdatyIa65 2toJfJZlxNeHnY/LqIWZndleXbMFyRDRTGZJoh7fIlTQ9jxOscIytuqsgaWyUMs43nWNlref 5pb5cm6atFG9hiB1AE2OfpCASx7ourDv2Vabo7Z86ZKEsV4VNeUECaVQ9ckpV4e0OJVRpsQO tIFx2ASWx2FcZtzLDAlztYCfsF5RDnCcZ2ipNFWmT6IdiMe2Ah3uYI84G51rPeNAtMeLY0o3 5RKJ5vdxs2JG6hB839ndf/6fb4+//f5287ebMkkXJz/GDQMeJSQl6/v5g+BV2ogsX1St1Ms0 sqRa8X1WZ12huIdaQeHGihSCVIK8EhISWTlNv5orxiNnXk39MWmq6baUg2WuYM/AomV01mb8 C7P0tI1j2XrSoIiEJOeMRLGLb4x3xAcyDn3qbkvKCTVS2aWq1G7Cxd6KLl4Srrd98VpLZKA7 7qTqfw48Jyopi39l2qWh60SkeLtkTOpani7vTIolD9BwMHKI/nkYrffhEa40aZq9suDi74mf 1E3613kmB9esLKmT8jR4Hv1807g/XPLum1MtR4DFnxN+Gqt+/KbS0dc/zO1Cjgiq5FKnPBxC p5LapDIIU1amJrHIkm0Qq/S0Ylm9R1PfyOdwm2atSurYbQUqmEqESSy++mvyHC/CVPQDfgFv UEChanlIg7OKgSzwuk4lVsWYdQiZTRLES79J5Ak/7C9qMnbdzEUI89ARRPVLaK1ubMTlMu3/ 7nsyfTbqpqZMYSHUJNZ2TTLlWk5ndF3aZxzMjVatKKiiR0ujjI/ML8QlPTnzF3mM3YnQ8hS2 ZCinM5hrKTe4LdU4VzCNDSFWYOnud6dcr1+fgQ5cJ3QQZpRwe9o47nRisonMx0pb+pNiOfLC R5PGkm0kjukM4Vi/BhdC0TqOpW4sO9DitBJfV+oZA1V/Nq+gRbAJXCNRXxxa6l6Kg0NRjNp8 FDRuGGuTl53iWAn7PdM8gubrtFtPI3wafF/V75G8G2LS3w8fKMxxnVBPkVQFyNSSpBnvQHUx e0/QtTWn33ixa9BC9aHNSgUt/XZKezLoGR/WY651dcq6knlGv+55rDnr/CjZXcnoEMqXPDdq QTzHjV6OyIg+U+Wzoqkpe0Qsl0wtIUsOjb9XaUWdFuqOuVJJz94rnH6gsioaQ/QLu22MwErv OketF2eikVlW965PPkRbUWNCZb279ck4nzMYGoNaUMX+ZJX+zMS/uLfknlexozWNkxYvDXgA qO1zBxigy/FV+vz0H2/4bO63hzd8/nT/5QuYG4/f3n55fLr5+vjyHY+zxLs6TDYfbEkfCM75 VUanJJkbudSjuAtqjkZ+/BGPNukvsLYGHZtu72ofFvGx3ZT0XSgHx3ATbjJLWFu+42Y9mISW uJpCXWAWTyAI15UX0D6VxZI/Hmw7UVe0QyH7YOHEKvONFgJxSx3VXbBAW2H5Ne652GWaUjCb +doWV7DYM1e6mSx2A2sDuU3e9LZhex49z2jOXZVryzYfo4f0F/4ORR91TE8PJOsJ2oIT2iaS QSXmBDpL1CF3WUb7gFrYWoyRwp9oWXUMZOP6AZTHyiE7UsUJBnFF9G4+fbGvmHgfSOJnfZFe IdWwUTH9rFpDmzobmT5cJJypERxN1BzKOn5lF5VY+Tdw9qz6wncCMjj2zLaeYeidiSH+8Agv W+Kh8dBws0F2GZFmtbrMzAyaMo8LE8vGwZKqxTFSNtiKTxmUri+EU30otS4QdCzuMpol9NTv dFGh4xjDdYeGn5jrGDseB/rRu7NOCeRIWME+Xsu6dz2vpPIO88LitH/hOBS5LbglVxqT1HJN smSAd2+G5nji0YzIMK8rekgNwU4DzAn1em1Bzqwr2Kivw4lBEObDTp92iMzD9JoVjWyLhWwi yytWqlDdauTUCq2ZlgaST6BhRp67rcZt7AcRj5BlZe2GINwEV3igHC2Kdr0EHwIWawenGax9 Nb8NLTzCpcFzMnuzQd0lf3l4eP18/+3hJmlPl89b56flK+vzH/io8ZVI8l/q5tNzw7oES6oz bL0F65nNArmkPsESbI4MkVp9KqJAbVqQIX0lngxKt6WviiQvbHskMhXVyOt2GuXDtasSVVYh r8eYQJ6LzvSNEwZRgG1n46gIzSMeX5fZWd/dEAH7jiRaxvOa5Tv4taSmtymV58D626wkKsuG psL1qvDkA3dVKjTbZDdjbSnmBpoyF+04gr13pI7LdT69HReItVbouLNC+/Jog5LamirJjd1B AiuQ+bstQa6SWMkUeUw5q4qSWB5Vrh53VntDFjbYvXFPvRwFXWWGRbtqanphXmIJomZpy4de WAXGAy7n+HIlLe9ABan3U80qXflXeh3Way8Or+aKXDUe6JReACKpNkF42QOsw05KUjGxbzCe 6N0OFHuNlIpU2lZ+DFFspLFJ+UqSayLABCCobXyVC6YD3/5CX2S79Wx75cr/l6qhJ5AKsHTE pUrOjwkfpu1fqxImwAJi7wcT4NBYlORFz7nK3+RrAdeaKiY+Xfv31z8oBTPo0HOMqxWopaiG 47QbknOfmhjmY9nFZtQ4/F0A20KOmBqCnmRJscimza6FlJX4LZXrml023Tbdcfp4yk7E1odc QmTXmznvHeTuu+JWYcxdusxissVV1nXowbxMr7ppVWQMajEeE+Ha/iNSwi+VirqQE9D1Xflo PGF13dTv57Py2VqdNHmeZX+hCUWSvV/uzGSpVFNlA8+D2lh1DsolMs17+OF+G4p91tnaTKbI yuOBdcNfSvOB9a29GCKBOAKgd5oFB7PTOPaRcUl1eLeCnL+8ZXf9HOgeLMRiKqlXd3Q1+SGQ TU+RazztWJ+pr1U1NhoYh6zmbwaFUTZUj59fnh++PXx+e3l+wittIPneDRp6wkGh7P57MTx+ PJVehTkwuzBDaEzIG1VnNhi3iRIft7oIdMjbPVNL+DROQ0rY5/wpNv6/vURgFv1sPBdVjgQs 3cNAy5xOQ1ESbUPMjfSLgRUZrUh4BVGfuMkoOsC0IK4b25HpcHsFpIs7bugsj5uN/upgpgfB hqSHsmMSmb6hGnMMfDnukEQPyHLLJAg9ooBd6sU0MEy9EtJ+Odbp/aD0iSoJgMhJAESjBRDY AKJ5eANaUvLgQECMlhmge0+A1uxsFYjIRm68kGzKxoscC91S3+hKdceR6N0ZsKbyXf22ewE2 dBX8zZaio9thKqPRcyKPODri2i4hLKEFE/SKMqSu7QpZH7nU0AK6R7Ut62PfJfoV6R4hWUGn BbsfqpBa1GD7oe4zJIjYnvB70Kk7+g417Lm54MRE/S6GhAUKHEI4HAkjCwBmm60cauCLzIwn Axzqq3jrhhgccolzcUUXaJPKDfXnDQsQ6Q9QJIDuHQ5uiUE5A/ZUShBHDbCm8pXYXxpgTwUt JrpuQazpAtf7lxWgU8HYIkd4V8LyT0gd6P6GGlf8SIYkb6nsuclK0n0nnvqU2HLRvqUmKdLJ qvJDfZoeEkNW2M8UXfHHppBtNY3oxgHZnoKsKpDpFP1+KFVvrxcEr1vF8wkLQg+FC9ple4yg RTDgo/GJwd9aEK6Vo8unq+eKFg217ytPcZslAyGlt82ApSniwI8ABuZTWxLSA0qW+L0loy6r WO8FlI7AgdACRNSeDwCGtqaByCVqywH99doMgF5IrO08tAG1tw4528YRBawxA66CdAdcGHx3 pBpwgb2Rqq0Mv1cAlX3vM8+LCDtw6IVSZEEoHZxHRaCUCR7cmNJTb6s40J8WLHRKmpxOFQD0 mM6HXF+QTq3lPEKDhd8nJgnSKS0J6dQk4XS6XVFEjGukUwst0OP/o+zJlhvJcfwVxTx1R+zu WJJ1eDf2gXkoxXZeTmZK6XrJcLnU1Y52WQ7bNdP19wuQefAAVb0PVWEBIJM3ARAHxZgoOL0O MH/gFf3tG09dN9SVLOF0m242nno29FgDe0XABTMD+w+IT1K6v1mXC+LryEVtVsTuxOSllFwj 4RRDWK/XVLfxvWN17UE4RrMjgmqrQhBDpRDEmNQlA+n2ihneRKaywSiirh+0MCdVChPaRKj7 KKlYuSewKj+9waT+xEtbM4FQpl88cl2aAKhXCz+7QOpu7mW2vjypKf0+kFVMu+wbVY1WyfSu pJRVr6dHjG2IbSDCy2EJdo3xRkg1nUSHYSODoNDNAXzVtHZXJLDbUQ/8El1a+QVGoCcln8SL hrI9l6gGzYyc8YzTW07HmFLouij9bQx4EuA878zxxRhy1b39qXDP4RdtRyTxRSUYmftQYZuE VeZ3MhayVH/MRWBZFRG/je+F1SbHgkxCy8WctF2VSBiwmh/iTgRXxv6WyHvLAgeBsPCSIsc4 PRN8gjnjFGNwOhuWstyGxGGR2bDCAnyCLtu9S+Is4BW1/SR2V1m17gvbVFFB/AsgqdfbZWV/ F5ri7AaT4J6250JcE2LEDMopF7FHlsKKtD944PFRWrz6mnlfDQH7jHI8ZBFlIiFxtbP7fmNB RRnJI64+8nxvT91tnAsOx1RhwdNQmh1awDiyAXlxsOYZxwaPIhra6ab0BgJ+lJo0MsL15YfA qsmCNC5ZtHBQyc31lQLqbm38uI/jVFhLxBg26c2cFY3wDXUGk1rZY5Sx+13KhNVTmcQ1cWh5 WBWi2NX2jGV4AVUx5Q8u0U1ac7lUzfrymts15XXFKVsmxBWV2jb6KcRyDJSSFvpVqQGtgZRF 4hwGiXTBVuiapfd5a30HztQ0jEigiilCwIloGDraWx+sUOvAK+G0koGfQhtRYeA4u4sV+l57 d1xVhCFzphDuBCvnr4GUobTMb2OYKYMdwbBT3iNMlHEc9W91OriOWeaAYKUD52CGr5CoJi9T 79VbZc5ySjBYGhOc9luQh7F0Oe8u7RuRsar+rbjHT2sMmQZ1rhe4z6wTBY5TEdtHDwZrSjIb VjWitl3xdCixqBvkxbpS0N4VkmKx+xRXlF2yOu+du+/IOaa1NoEth81jgrBWc2QGiDMqn+4j 4MbsU0XA6V1U3b4JnOlWmBB6XmT9Lz9PlpaW88nw3EnwnZLxxPTRJEOszKGd3WlwyT2NFXp3 /Khd9xhrlfwgPmQOXLgW+9St4OXj9DzjYu+pRhp1ANpm6SfEGPEoKo6561sxfZ7+0miwr7dM G5FiH/IOI/qAdKMiDWkCwpQU2ATaL/zSmDyWTjSJCW3SkpsW3ap8nkv/eBPMKryQmej2+kGr jPY1MmUiY8wr2og0eRgr70OV990xiDbztuF899bO5jrqvR06dILnZkRUifZma9ZHtbbGAQDd cQ8HdspF7aKCVN48orY31UCwE7SjUT/yQg59AicNADxmGsrToS5AEoIbFc3HU3b/vwuzLiuB /bTrzu8fGPh2iDYe2e/1clrXm/bqypm9rsU1pqDGxyQ8CpKQTKQ9UhgmUROUsCNGZNx/zDcz bbOYX+1Lqj1clPP5ur1QegdzgVbdTheLqYsE1O3CiBH26p7KeDrYEB00CES6nc8vdKLaYsD7 m43b3qlB5qkJYIwsLh3eyOWhArPMwueH93fXlkOuPN1dQ+5i9K/XL0wEHiOLqs5GbUQOd9t/ z2QH6wJ43Xj25fSKIeZn6MEQCj77/P1jFqC5ZnzoRDT79vBj8HN4eH4/zz6fZi+n05fTl/+B xp+Mmvan51dp1P/t/HaaPb38ftYVHTol1Xv+7eHr08tXLbC1uaeicEv64UgkcuiWcAlwXkqf KE8hDKVpZQqXoC5hURLbh7XE7Av73FFwTOl+rPQHGdkqOe2R6doxIaAu7+qTFKodvi7LY7Rh GH42HaOIls8PHzAD32bJ8/fTLH34IZ1s1cEtl1jGYHa+nIz00XIh8aIr8pQSZeSHjuHSOcMB Jq+mC2WGEXMLup1zacbuOQvG7Kc6R4ek9dZFhBU5J4dqGysF2bZidyn6Uk9G53SSa2LPgWuK KVl+OCA3uqZXA7qniULMgdV1ltFYBsbYGSaSUg26Q0tQOisLVw+OLn0wodyiR+2cYMimiEIP Aa7hHBN8DTemQHVRjFchminSyOp2OdcfoTWc0kfSzdwbJjUaRnIc+5jVJBbNI1Rwtthl8Ya6 S7juWhrVp6DPtvbs9gRxVsZ0gBONaFdHHAaMEnM0qgMHQYJsBS/Znef7HnWw3kJYUxe4JYuq qznZhN12vtCN00zUakkPXyIDw3n6dPR1qaFi3GsEqN8tWd6Vpm+4S/GzoblNhe90HCiKAOMg h/TCycIaJFjTy1lHo8Ljcv1ZITbGO7SF2157cG3jXc45O2Qs97SpTBfLKyqHq0ZT1Hy9XflW /F3IGioGh04CpxOKT54aRBmW25ZKEaETsV3sKw+ormQg5fq4v/GMiquKHXkFu18I+hi7z4Ii 9Xyo/snqkGFazZBUGraFY7DI6DPr6J2govTEQtJpspznNguklQ8LX+0tqiu6zH+xDw0EGTso cv+VNQyfaOZetm9YDbVvgzRltNnurjbLn9QwRKIabzpTyiWvvDjja+u8AtBibTeFRU19YT0f RGxJuWmcFLWpwJdgV9QaLo/wfhOSSa8VkYypbXEVkdT82RXKewTfiLzTIp8I+6wV/rnjIB4H h8THAaUWj1Nj5Mb4wIOK1fYNxYsjqypeVHZbUZbytiDeC+BzpLi1423deIIAKI4HddVkaHtE 30NZ6+6JP8mxap1Vt28wFkGwWM1bKoGmJBE8xD+WqytL9hgw12vdKEIOFzpOwHjHKm+Vswr2 rBC35ivEuJDLP368Pz0+PCtZgF7J5d5QaOdFKcFtGHMqwZYUTVBeODgqKeQel32UB00j6GmE USEhc/XcqhMmTsMRceI8FWBM8Vj4P2AEuNO/AJ3s5JP/gsD2Am2XN1kXNLsdhnyc6FwWeJqX 09vT6x+nNxiUSSFkTsugJmkii0FOKkoaGBQSnrEoW7bYWAs5O7iVI2xp7U+Rl1ZwkQEKxaWK xZFwsSnUyzcigyjsv2vKcqT8hsSO+MayaLVarp3Gw521WGycfdmDMe6F9xiQNFvfPZEUt411 CCRWQnZtVShXH7/wKBP/OconfcOQq8M8EwIM01EIXlvTsnO1RCDOii61VGTD6rShVloIVb4I 7ENw12UY17ffADauYeG8T4dAoBY2zHh1UCBSs6X+3DlS+wDvu+S7CQcqZ4BGTN9PuvI89KuP R6L4bxJ1ognEBQXISFvlkSfMt1klme3PIPFP2Eiyg2XSCf/47rrd32iLmv+fNefCKjFpnP2s oTG+688/tHcfsfRPHCjLDotoWo9jNfV9SeZIlKcxnPd9xkuza4gQ/csUquAnbKZn1S6PlYjv gKMkgLZmBGi6IC10KWEEDVFgt9qDNdraNYwU2LFcz2MopWEW/lNE/8QiF14vJlUiFPdHZEWs iPZkKBLEHQNhTBPCUM6jjLZkQ/kOtlFk9joMNmZKHgQeOANC+MvbrkODic09H2rEPrSrbKAn fA2z6SvUh2azH9p0FB71dOHwzl4aY1oior6MDLGbxZkAUc1Qig8wd5bUdJ++nd9+iI+nxz9d VnEs2+RSQAbRo8n0ZSjKqhgX4vRJoWAXP/Z31tbweTntGfVoOJL8Jh8E8m6pZ90csRWwJhTY mDAfttGfmvCh1DRbkc+IMuS9PgYTtJNWR+QylERBhdJIjlLd/oisfZ7EbmJ4IHXnR5anIsJL BMuXV4vVDSWSKXzZWL0IwmxtOB5N0JUNlXH6r5yPSjCtKJ/wlOA6YA0X2hF4o/uHSGgZspuV qSfT4f4w8pLKxhrfK5c319d2IwC4clpWrlZt6zzrjzgz4fcEpo1XRvz60viV2xWZOm/AbrbO TFl5BvqlGR8K4A94So3ryl1NPfziyCHNemnPlMqFgN48dePuEcSuqBNVYsf0DTqwihNMmKzr DdRCjYCdd1fEEIfrmk7IqsaoXq5ulk7RLJwvN1vvcq1Dtl7pOQYUNA1XN4aHjaqLtZvNemVP BG6I1V82bZzvFvNA5wRUV8RyvkuX8xu78h6hnGisA0M+0H5+fnr585f5r1LYqJJA4qFb318w 5zBhOTT7ZbLb+tU6cgLUT2TOaIl7zD3lX7tZ2oZlSj/ADwSV5+lD4jEqlW8uch5utoE9LjWH AW48OxTPlY0+XvXb09ev7gnb24jYZ/5gOmIF5DdwBZzr+6L2YIHNv3VGcUBm9YWRGoj2MXB1 QcxoqcIgvZzmyCANyZTABgkLa37g9b2nZ6aRktnp3k5Izocc+qfXj4fPz6f32Yca/2ld5qeP 35+ePzAXtkwePfsFp+njAYNO/6qzCuaEVCwXnE4+ZPaTwcwx7wyUzLIAp8nyuHaM4+jq0NWE 0sObI2tK4/jQKAQPME+xobTj8H8O7CHpDhOj8zoG+ePAgIdVo3EwEuWYpyHUolFiGu5qXVEm UYOCzoShlxAcmYaOWTUki9ZUMF2JjDcrM/WnhPLt4mazopToCr00vGx7mJXgV0Hj5XzhyQAl CVoy/roqu7p2v7Ix9WI9IdGc1ZwovHRgws4Xq6C3rV12fpVnFqzMI40nqerQTE6AALjCrtfb +bbHjH1HnORPic5HGeuNAfUSE9QjS6CyzUlXiWk1VOjZqV0I61NvSYY3j3W/McSa4b4QUhim wMiZVwxkgsTS8A0ljh1rORbU055heFMATZDeXBRg62sX2lKmpQWrfUrFPqwibLkWpt6reyzT 1sb1GJluao/N6bIkM3SNE4ruLfbU0tj2UAdgijt70XTGmIhdVyrAOKnh89Pp5cOQzZi4z0FC 9fUkwtjiuuXUtAy6ikndzFB70Oxcg1JZ+87IIy+OEmpodfri5PcB0Yk43WE7zNWFGLg4S3t1 j3A882pSu2ZQhZm6O4ZcuGZftLFqWuL9bOiDoXpFH33dFR8BZVQd0G6GV3cmIgJRlUQw3ckf AcA3hYVh+ob1hpwwxwEEXGimShSJq4Y8KhCX7da6iymC9ge3atzxQz4bDRoUbdIYawUJ9VFR v5EpbhygpRuZoP7UvANNFmdE0QBDp5Ov5T2BDOpPFMwyUzDqbacf387v598/Zvsfr6e3/zzM vn4/vX8QrqlDQkDjt81b9tC+jfri+9mHZGva08sgE+jR0vrK0cOW6L2BRxPR+FCHez8J8pm0 jy5gTUU+kuObBqsVji4js/WqnpvmTIiDf/hcN3gGm8gkr40EXhOs38gWCvhGmfKrk+HzSSTe TSZSHHlRp4GdWRrLlAf0JxWX/JYlGeyJMLPaHuv5fhAwRvXsZ5yYzIE8qeJ746W2B3Sx0H3E a5aofMRjozGiYkSn5a3qdDu/WTQ+JLAXNGq7mXtLidXiakviVE5LUzEwOFc//Pn9FQWC9/Pz afb+ejo9/mFE/aMpNHW46ngnPXidD7CXL2/npy/mZbfPyOuA60IlJvhWF4e8HwzeAVBwW0g4 +QQ4fNRtZFCwyiMI1nEH7M9mcU0/PCaw8MqEYR5v+gEn59BcUTLa3q+P8ximt12b5phn8Pb4 ydOUzGfZfCs2V3Oa+R7WpJNFwqHAHlQF/cg20Ow53bIB75d8R4qC1jxM+KLEs+0ikXTDvUhR seNF/GATc3lEpMgQoR2Hs36Th/c/Tx+UUf2wpBImbuMaTiUQfzFCL7kirWq0g42nyFsLmW+c 3rsYSVcaUXjE4tsytFNsGC91R/kSFzDaBbg50ifN0L243cGF4nm1vEsTynYkl5YlmPK025ve 4CVtjNZu11PkfEJYYiGI8oOZINkSpNhHdBcx7EKXsrIu6MxBURgFjK42itMUjs6AF6Rkp7DF dmuKyhJeBZTaZ9f8xmsQElRzNGmqh9dol20wREkJK7MI5RrzGJbtS2VBTXwPUK55ZclyJh3y p2ZM8y7dJQXG6iupPsvB1KrUZqDk3TGjHifRibVmldPp4UkuqLtqd8v1nA0Dqvcx0L8RZnrS iV6QzGvYAovuYKrK+oQQGIHhoPJqWeLlIagp5rSvVP90Hxg7s+VCzIsNF7bGCCinZ2poe8zd nNoD0jKwS1S2D+OjlSBaLv2IAZLHIaWZm5qrUnRYpYO2PoLoitJ1nVHrVDQV5vXBeB3LLmhq I0hCXzlceVYGkD4COawNNK02FGwZyOnDFqfauwiVvz/UAWslr7mRGLgPW44qOFEuOjPPXRkq WVg+wlFGU30Whlym3d1V8R0aJsAlmA6Cs3JbBVbn9GUmZIDjWQ1czsv5+fz1x+wJsG+/P1Bp vfu5QCd1FI9hLiRIjp3OXv5/P6AtGskDbdZy7RN9wynGcTHGeofhUQq0k6GZkT0wAPE4HfTR l8EhxvLi4qwBF4MMPlzmt422r/eYrwtZnbKKgSHS5nFig4ah75P/hM/nxz9VnvV/n9/+1C9a jXVyE4FPVIDei4h6yNcqUM9GZjwkE31zvV3RH5jIBF8tr+d/h2pFPS6aNPNrT2MAd01nBDWJ yCyZGkkYhfHmak1NgsTd6IGrdJxAtqILS1/7Flkp5j/p4CFceYoH0Wa+bSmdtEa04y3sLFQG 6LvJs2bG5XcUJc97Owq1kiSlOH9/gz3mPPzDh0AKRyW5HuJN/uxMsyCgDNJopJz2CppLoNta V/J6fW1xVEOrqUYMNePbcWDmVB0ZomxPS3xlSG/vQZ0L9VFGHupLjik0h1FvqAD7cgSr07fz x+n17fxIBeGqYoz5gKmsyZ4ThVWlr9/ev7rzUZWZMARpCUDdNvVeqZBSo5tIS+9choXS9PY2 QVVmNnZUkk1tNto2XouYwh25n2FlwXS+fDk+vZ00Xf10dg/UbjpMggZb6AroMKS/iB/vH6dv swKW/B9Pr7+iDP749PvTo2bmo4Ttb3CdABhThOmzNIjFBFqVe1cXk6eYi5Xo4O388OXx/M1X jsQrJ+q2/OeUuOzu/MbvfJX8jFQ9ef5X1voqcHASeff94Rma5m07idcnLbR8j5RG8On56eUv p85J1MMEBoewITcJVXhUwvytVTCxBChDIZ8zPgyon7PkDIQvZ32z9aguKQ5DfMEij+KM5cZ7 jU5WAn+DeRrykBL+DEoU4DF7p/ZioKHRAkGUilWiSjMh1E42OuFEfZj6O7L5PSZukUUeKoj/ +niEa6MPE+BUo4g7VvFPRc7sSkBKLxe6NVAP3gkGLMOVA+8Fkel1VIFHcWV5fUOnJe4JgRWZ X682m5/QLJcryk9vIthsttdLoiFlna/mpKlQT1DV25vN0h0Hka1WerTiHjx4tRjXIlwLFe3m xEm7p7w2XlXhJ75204Qdj7SZloDcyMCLIGVBXOsvOAgG9iApCz0yFUJrI0W3pIOVbjdI2kN4 89YcgK8OGpqjLo/u+c6ru9kjbGdCtKjukKMw32mBIaIspvEtGW589XQ1CR123WPVsOduzYA4 UjHa1WXIF0bA7cEXuAhr3dWhitE/rJeiUtOsW+GCKswEDBf8Chl99SnCPl8Z5T+mCDA+tbSF GvYx6unE98/v8jycBmzIWqbcsVwgcGkl7yLLWysIs+4W9rt0PLNVgNPUQXGMRojRfSJai2SS 7Km3Mp1Eub5qOhnA4ZM6z9ptdmeayarGt/I5fOqChixb1i22eSad4AweUkdiD71Nz1hZ7os8 7rIoW69JLR2SFWGcFjWui0j3BkOU5LCUJ54Xob9gIqoG8HxhGpwjXC2K2LE471e2uQK0onjf hParwLBJwsDZfiXI3ee3bw8vcCGASPH0cX6jUh9dIhsXKzMd4K6H5To9gQzbOI+qQvfY6QFd wOHmrUyVionTbYesUoPa9B+fn9Da6z/++Hf/x79evqi//uH/3vi2r58f4zNKXyzlQX6IeKZx z0Ogm/75dzgmI0QYu6ymlFSY2c4sKKvvzPiwEWv7h24DppeyKsGX/MHQSsUvPs4+3h4eMTwO 8VQralIjpXRZmvvJADFNPkaonShwRNCBkEd0JhrqGzVdGeEeMgRXczs5apfLRDtqevmwxJm3 tJkOavBO1CrqsqQaCMNDaSFH+ytbHAX+LP4U93j6vVsxyGUlrd8aYEUpeU9+pYoT47UQVpIJ n55PEBzt6BtoR4aXqOOR54Q/KfFAB493MGovoc2tXKfKXuH788fT6/PpL8pzOGvajkXJ5mah TQ0CTRU2Qmz9B1WvxgwXpcE1qJdJFb3Ex5oITuoKRMozMxM6ANR5HtZVai7bKlTaaF2Z1Ng+ X7s6w+gTkZNWbzD7MZlzOYy7J3x3lme9LriELNzLpJj/V9mTLbeR6/orrjzdWzWLtzj2rcoD e5M66s29SLJfujSOxlElsVNe6kzm6w8ANru5gO3chxlHAJo7QQAEgWhw69TrWYssjUQbwxSD HlHzrs6AS0sjDwgIs6fGS+YB0G9F2xodUQh8QgoTGXKXL4qmicOuNtx7AXNm13NmFOei2FLO 7VLO/aWcz5Ri+aB+CnRXSPxlU+B7yICmwJT90gZPqZ51P/lECK1cvqmfzGaOhSPc/zqOvmpF m+J7I9b5Rdb+XWM4ALnuypb3LNy+MbuIN9NpIqQsMD2jdBP2fOQ8yEcg6LpxjVd8rUdaXiTN qe8etgxd5Hjy1qrfFoQb+hEH8woqAm7rhT0NI03dgTYoCkCTMdFfu7V0JFB2mC84TjAyQZrw wniRZt7uJqfWGiMArgsXym1rhZibeEXDrVHCycGbaR+57KfFJ+CW9nE1lI2OXBibhA81cwuC ut3PxhSKfFwANVeTZUjI8Ny11O880WWULOCWYxMah9Cr4sag4BksKDv1TdUap7UBBvlgYbBu wOLkt5wGlTRF2cK60CRBG5BKABmXtCrFSDd5L3i3PkYoTZpzfgolsjed75IOMwh4ducas9fe WGgpge7uvuj+3UnjsNQBRGuYL19RLIH1lYtacNKsonF4j0KUAa7GHsO/clcySGNFAJlg9gbX MGObdPll6LUcgej3usz/jNYRnfPOMQ9SyxWmSTeH+1OZpWxox1ugNyKRRIn6VFXOVyhNjGXz J3DgP4uWb0xisZG8gS+spq1dfxnta/VeB193VBhH4Pzsw2RxsvY0AayxJVi90XvkabVUcJ/3 r58fj/7meoP3NUZ9BFiZGgHB0P6i+zgQEJuPoXpT4+0gocJlmkV1XNhfYLxtDK88vl40Pqo6 shYZguUqrgu9idb7mTavnJ8c35MIh9svu0XcZgE7W6BEJkOWEV1BUtGhF+kCvRTkMOgiL/6x 5hH2wlrUSvhQNgV3Zsaq00b668vLf62kssYHzVbxInLY0QCChcIxsMRuH/FiHgTj0DSOa+vS J+IBQsZw122LdoMJYAsFTh9ivxgpj39dYpSQodBjXSocMBs4UWIZYsgjPiJh0+W58Jisx6Jo GXnbpZ3cQ6w4p6G3xrsiCctuDdO5BNbose6tCSTMtHA/CjFAcl9YweEYkgrDgjky9oRv0lte UdeJErEuuxpaz1QG7XNmVcFgia7xBimSAzbz9TA0NtQcxAnctJFbn8CBnMkeP37usIgRo6S9 ua9BNFjGyBWcfDYhHIHsYm5AG26W5hgpmBSv6DSd+VJSRWlt6N4jFm0pedVjphszY5VNQQYM 3jrAUeLliPW01f3At1VGglvrId2IyG553xeNgFtyU823zFgMi8MGn5MRMyB3mlt+jOI8iD3x LKd5qMUih+nvB4ENyzpTVOutsxXytIBzil0VZW6xzGVlAa6L7bkLuuBBFq+tp+InzZ1g9Nwk 6oMbN+aIhy43t5tTTMkaPyUZ3lDqE1JhcCVj/CUEpaYMjTmKt3KXE5ISVsVIZReMa2oWuQx1 tN2Iy/NTtgE2HS6yX2jpTEOmLih5kWmO3hlFNtcss3/cF3z7xia8+/bv4zuHyApOPcAHDx4T iFrAaIUA0WZtxgx0jwrJVOnk5rguZ0qJ69InNuDbuCYxBey4RZd9XtYqbGkcFdNT67dxtS4h HqsBIc9185OE9LwjYV2WbV94NErZNOdgMPCokA6PzqOCGw9FhCJ2nCGR2bcobdAZHVSoSnvh rtfBcUPQ9dBtGBT4UtvZyEzsnzgaRoV2XImmK2r9Kkz+7hf6ngEAHMwI61d1YPgaDuSqG2lB JzgmmAkx8pjHED585DUzhnG15NdXmJrWRfwttXbOJ5mw+PhtM7VsDOVmlrGJxaqvNqh28JGP iKqr8HmcH+87ignp7KMJyl8ZT3gMx1jRld0M4S+0b249g7YsfNYV4ez3EXVV8TNV6A/k4cfE 4g7Pj5eX769+P3mno5Wy3p/ruYQNzAc/5sN7D+ZSD19jYU69GH9pH4ztaeAuuPt8i+Rk5nNu BVskZ7526cEALIy3LxcXXsyVB3N1duHtwBXr6GR9fur//PyKZ7NGyz7wAisSpU2Jy6rnYmMY hZycetcEoJwZEk2Y8iK7Xit/wOgU/B7XKbioTTremmMFfs+DL3iws4AV4uqN2k/OfF+ecJFS DAKriasyvexruziC8roOojEOBIi0grPVK3wYg9IUmpVJeNHGXV3aVRKuLkGTnC/2pk6zjCt4 IeLM9AYaMXXM5mxU+DTEGOaRW2RadGnrgqnrRtI2hWm7epXqWUIR0bWJkbsgyjwhX4s05PNR pmW/MVzdjCti6Ti9v3t9Orz8dKNhDN4lYzX4u6/jawyb4CrbkxgtM7Ghfgdf1KBO84dOMBTJ ORZgMsY4svxbhquQCa63rI+WfQlVk0GBtR8MZgmMX9GQy1xbp6EhqXGWCwfpOUKJ9bRSgAJJ X3hyH9CLn6Woo7iAfnQUIaO6kY/7h9hyk+3QJuNM5SBs4iVOU3a17h5MF7whfYnWp2WcVfot D4vGUFHLj+/+fP7r8PDn6/P+CRM4/f5l/+2H5hKl7PLTcOqxXrImB/Xn8e7r58f/PPz2c/d9 99u3x93nH4eH3553f++h4YfPv+Errntccu/kClztnx72346+7J4+7x/QK2daiVr8zqPDw+Hl sPt2+HeHWP1pWYrx0dFTE215+ggSim7OYHi1EGDsDCpi9L/x0irHEr5JCu3v0eiobu861Ztt WUuTgnYRTcse+Z68CHr6+ePl8egOc589Ph3J+dEe6RAxXhYKPZiRAT514bGIWKBL2qzCtFrq q8lCuJ8sjQTIGtAlrXVn4wnGEmpKv9Vwb0uEr/GrqnKpV3qyaVUC6vsuKTB24ABuuQPckJkG lCeuoPnhqJZZAYUGqkVycnqZd5mDKLqMB7pNr+ivA6Y/zKIg023I9MdOlGGtjjR3C1tkHbBD yX22lxcOfgzhJe/oXv/6drj7/ev+59EdbYL7p92PLz+dtV83wikpchdgHIYMjAjtrsVhHTVc xCk1Vl29jk/fvz+5Yj6ekNhH52pbvL582T+8HO52L/vPR/EDdQ14wtF/Di9fjsTz8+PdgVDR 7mXn9DUMc5tR9As97LyiW8KBLU6PqzK7OTk7fs9s9kXanOhheC0E/KMp0r5pYoYnxNfpmh23 pQC+unY6HdAbPzxgnt0uBe68hHoScAVr3e0WMnskDgOmaRl75TcgS6a6imvXlqkPpBEzR6Pa fUvv4E8ofnw1vFhvGbaGqYDbzp12vF9bq/2z3D1/8Y25EbJNcWgOuOWGYS0ppW/A4X7//OLW UIdnp8zEEth+kqIjeShMR8bxve2WPWyCTKziU24dSIzHJmOQ2LvXaVV7chzpYdRsjK/NC7bJ 3sUyLgWMBqIbDdTJEXEwt5w8hd0pQwe6p2secbwAwRfHzCgC4vT9zOgA/kzPDqf4xlKcMKUh GDZCE3Pa9EQDNUoqrtz3J6d+JHzp+YYDn3FNzOfa1oIMGZQL5rt2UZ9ceUyFkmJTQTP8ZdNi 6Wkh9UU6bhwpGlIyF3d3i9jlUgDrTdd5DaEK9jdDFF2QMqXWobv4QJ7dJCm7KyVismi7W2+g kGt9ZvsJjMOQuge/Qvh2y4iXxxuw11+nPPWToors6xRiPbETNAKtKXPdblp3KRN0risRsyAA dtbHUez7JlFiot3a1VLcCu6KQ+0GkTWC2fxKJPEippY4uy9mb5hHbF1ZUWxMDB2yb46tIp4Z R43Euxaa3IW1seB4w6bEte5v0UDgXABZaE9DTHR/thE3/kZ4Vp8KRfLjaf/8bKjh4yqiG2in csttZ4Bens9wuuzW7QNdzjrQwV1BxkrYPXx+/H5UvH7/a/90tNg/7J+UwcDhdEWT9mFVsy65 qj91sLBigOoYVkSSGHmm23USLuQvmCYKp8hPKUbxjvEZacXNGuqSPWj2M3dfFqHS1n+J2Boi Lx1aDPw9o5MrLRLblPHt8NfT7unn0dPj68vhgZFOszRgzzCCyxPHEe8BxYh2zmm1lCY5JJds h61Eotzgsg4Jj5oUwNkSdCXSRXM8G+GjOFiTI83JyWwnvVKlUdRcM2dLeFPNRCKPALbccPsF H02KyHay4chEm+NbWE+wF4cQW3F8zvu1a8RhWM3sVSC4FtxJM2D6aHl59f6ft9uEtOHZdusJ 2mQRXpyy8YD4qtfJTPuozjUXzJqpc+0qN4jWgsK4SEzhtA09QV2McQaZeb4ZIs/KRRr2i62r Q1l425NLNDc5hloDLF4WoF8Di6y6IBtomi7wkrVVztNs3x9f9WGMRnl0boyHN3UTQbUKm0uK vYtYLMOmUGVzX34YvIz5cj/IRLTw8QRv0gVeIVSx9H6k10KT26XkwvunF4yPsnvZP1PWlufD /cPu5fVpf3T3ZX/39fBwr4dIp1Cz2g1NneomWxfffHz3TrtGkfh42+Kr2Gmg+BubsohEfcPU ZpcHrB7zjDTjnRNrtv+Vnqrag7TAqikdX6KGKvOeVBhe/qKvridjnIL0QVyEICfUxkNvjCzB vwUKUtAeMVq5tqxUdAZQLIuwusHQzrn1cEcnyeLCg8WIo12b6n4dCpWkRQT/q2EMg9RkaWUd pVw4DRicnHLSBhhcXes5Li89DMYYXSJM7ZekCmWB6dRCr6swr7bhUrpC1XFiUeALgwSVreFV cWqa4ENgKyA5GaCTC5PCtdpAY9quN78y7VBogDIiAZgYYCFxcMM5MRgE58ynot5Yu8GigLnh yzUlflsoCrl8vZjc1THLhZrZx7am1aKIytzs/IBCB2UU7kzp/1ZKLhaUdz5FqHSctuGcN6rj hqpRc6UY3qYWmKPf3iLY/m3eUgwwiqZRubSpkd9jAAo9RfoEa5ewixwEhsl2yw3CT/rkDlDP 9cvUt35xm2o7TENkt3oqDgOhdUDtVP2yWq0LiutZZqWhlupQvL2/9KCgQh8KvtL3q/2Zjgv0 DKjwg3xuWzwohe6tSi/w1yLr0UanH+5NGaYUEQ+moxbaEYo8BriTHjpDgtDTsze4FsKNtCYF NVgmIgGuvNDDZBCOsq6Iim7k7edTFPY/iuq+BS080B1KEAPdzwS5Fi9JM9TOYJkbwCQPteQq +793r99eMFT9y+H+9fH1+ei7vNDePe13cCj+u/8/TQeDj1Gz6PPgBtbYx2MH0aARWSJ1nqOj 8Q0EtFF4IlqYRaX8Bb1JJFgJmBIlgMiDzwv0XLQ0lBgSyPZXVUO2yOwMCzLOo+05IZ8so1Ql 2s70wQ+rLhfNqi+ThNwRuPbh0z1jxUTX+jGZlYH5i2G0RTY8vVFlZrfoeKK3JK2vUU3jzLd5 lRrvgeBHoscHw3A3GBykkWGJB2gX4puv1hT1SKdUTGEdNdrjIwVdxC0+KCqTSDCxpvAbyjXS 6y7VSYkGOjtTGEEv/9E3PIHwkbEMKKytfwxwpIcoG0UFjKLTG34RALBjpIzUnQyX0ScZJuYd 3hv7iPIQNR2LgNbBRmRaaFQCRXGlp+drYHMbq0IONRtsyBFBTR8aJa4T9MfT4eHl69EOvvz8 ff987/p4kXi7okkwpFMJRkdk3kdBPmfA7AUZyKrZ6InxwUtx3aVx+/F8GnepxzglnGseYuja PzQlivlERtFNITA6t+OYDcpaUKIuF9c1kPARGNEtG/4DaTsoGyMQtXfoRgvo4dv+95fD90F1 eCbSOwl/cgda1jUYvxwYbLmoC2MrkuSIbUCw5d+saETRRtQJ71qrUQUtH/t/EQUYiyOt2PAU cUE+KHmH1xrIAbVdiPkceqi7+IiZWvQVXMGpigGm9OO3jkVEZQFK7+0yxtB8jYxqznIufCOa I/tPMXKIpQbKHjYyTgS+C85FG/KGUJuI2o7hSFj/OupdVTo52aXD2RA9J/W4lMlWJSWcfcPj BDfNpR6s+dfWlMy3gYbtw53a+NH+r9f7e3Q1Sx+eX55evw+Z09RuE2gXAV1Zz9mlAUd/NznR H4//OeGoZJRDewEbz+8EyU8wqitYUfqA4W9mgCc+GjRiCJOCkyx09yXC6YW5xNy7JyIqSk0i 0IogUwmRsLPxS+NrjoN8H2SPDr5RV4LX4DY4FqbfSZADabxt48KOZWItJyQkUcXvh1puCpZt ExIWM+a0MPePicFBkwFr3iykv41Nl+ypkRiexst16xL2jehN0WY0E7T4VkYzbtFvFYJtarQE U4Hs+xVZlYzY0dgTM4AZCcvEJ1JPsDqosJQqzZcTRSe0U96wRHXYESf01ycfE6uIYW8WODBu dbiOu7rJukCR6i/JEExPsawtPaxwkJYy4GP2UL0FRymLRDL51vfk4vj42O7gSGvrsT660UU3 8a+ykRjFRDjfdNf74cggPt41wozF18ApFw3IuIjkoeetZp3bxa5z8omyY9SMyJrjhSO2WiSZ WOiRKxSXHEhkFlOnUh4sowuTf7Mh9yKQgv2kcCqBlFTWQ6ilyZI3bGZ5aqGeyrN60egDayFw IEzNKgypLxLrXDVZpc1R9WXXZqnp8y0RJCNwMp9E08TCbrC+GlrKrj5pWhe+88Jh7Y5sssQw w/ZVOtEflY8/nn87yh7vvr7+kIf+cvdwr4vpmBMandNLI+6UAUZhpIunLS6RpH517aS1ox21 Q6bZwkzrNpymTFoXaQjjZEvRCSs7V/WbxEMrj6fFUkdWrSqatEshlW/sEkxgXrE0bsemxmhk 1JhfoRmHVZtPrKFfYoqiFhR+pv+ba5AqQbaMBh+wMWjj3GzL5zgg+X1+RXFPlxIMrmRdbUmg qVkQTPHx6dEBU7a9THFwV3FcWXcT8vYDfXYnSeh/nn8cHtCPF3rz/fVl/88e/rF/ufvjjz/+ V8tlj9HSqGxKk8Y8kK7qcj0XHI1KwM7YjA2tb10bb2PnbNfympiscCS3ur3ZSBycgOUG38H4 BZdNY7x+l1Bqo8Xm6PF2XLmVDQhvFSqDehbHFVcRjiO5cLh5hqkdsPrRNmUJV1MXlcCjBVn6 /0ytYcloa2GmXidtCkai7wr00oKlKS8N5o50Ka14mONXKYF/3r3sjlD0vsP7Okezxrs/e6wq DqjHW5AQdQbqgZdILupJRAWps+6qMU6NsZU9bbM7GIJ6j+FuROZGtgORj9vq/ByifIjc0UlK gwj9E2ZtIQme4qRfj+fC6YlVCM4nO1eIja/ZyKIqFYzRFXOQgSNKPbgmWcLdFDKsIihAeJXP XnFB25fApTMptVGUE5WcTK1+gBbhjZE7j3yTpqXqWhaLspK91jMeowiTdIW0FMxjF7WoljyN Mk4lapf4kf0mbZdoeXUkb4ZMxjAi85xNPpDlpCBAeXh3a5FgkDpaAkhJpg2nEHQ0u7GA4VCa LHpCygpDk92S+VJGEZuAlHSE6A07Mk4jzrvMQeGMpEM/ABgbscOMrCnk7UEk5M8QVKAA5sAA 6iFtCq/tARpknWS2JjqpZwiWG1jBcwQY4Nq/Q01lbyjHEwpz2AxyKfA08vu+KUDsX5bclgyA tcOMwQFOziX280sFFwWwWIEOHPIDT0gRFSM/LV0upDYzFBnEwzRo7LpKHJjaNzacL0GtKfM2 D/1J2jpdLOThYI7MsJylyuQfQNpgkw8Iz1qn3fIGpapZZHRriMPLm3NDzAs0jH8yw9S1mjH1 aAtir1cB1zYCmeP9lM1NAWxKDhCobr4jCSW/NIr7chmmJ2dX53RNN+ipU1kCky2xAWYnrZhS GaRDoJh4dAb+5/KCPVxpFKEfpGa7jCQWdXajbh6MDCPoET3cFpDOoGdz1L/SO2CUFgULTvCz a+y3UWC8sYyTtK8WLQWR8QqOGy2ucVR2wAys97GDjJ8FdKU1weVdp6VYENcfOQ4nueNooLcA JsdQUiXTuLQc1svx9tJ4PKQhYj6R9kjRORdALo0dytGWMOg6idwB+PvlSnjvh2UJ6li0Ci7y dK77cpTIUm4KPjIxLEr7nFClWF6xkdlHQHriOKJCuzcVg1Rm7gH9trDdP7+gtI8qaIgZz3b3 e90kvcL2MXWyRiOUj7WgTlXOk7F9LBOSLfyFs18VcYvHxZsfqCPPCSY+ItKsyURgQqQJW6l0 08GJqFysYhUJg60JaNJylLHNchNUwnSY0Sz9TsWqNA9n6hx54Qo4v2Nqa+DYhQNBbmTdU8mk xl90A1d3FJ/RuISpQerDu3pc5XRUykcRYyOzVdTyWh6Zzsg5s/GlAyMSLzaYpHfYZv5jpw7Q qcerAOnOQ05WT90taOYIlOZ3Tw1Scb84Z30DqYvLeGtzcGsM5M2/dDthY6MMVE1Y3egbTton AdGyGUoIPTizfjeAo++BWRSAYVdlPFuWl2ddOoPdkheVH4/B3hM4rP0UNfoeUkgVP433uQth 04h7sy+X4yq3xkGZqU0oqY8YfMUetcoZR3RBXpYkgK/1mSHHWhhOXrTTi0jSOt+IOrZKHqKK 25PtHonmEqEQL+SAbRa3ysvIKcy4QfCPKIhZIagonAiiakX7lH7ToL6z5ToAebfZ8gZW/1qx GtbYMHuGOYFYpFvMfwGtosMPZUkCAA== --17pEHd4RhPHOinZp--