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 C44ABC2BA15 for ; Sat, 4 Apr 2020 23:02:27 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id 6B52E206F5 for ; Sat, 4 Apr 2020 23:02:27 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726323AbgDDXC0 (ORCPT ); Sat, 4 Apr 2020 19:02:26 -0400 Received: from mga07.intel.com ([134.134.136.100]:13761 "EHLO mga07.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726307AbgDDXC0 (ORCPT ); Sat, 4 Apr 2020 19:02:26 -0400 IronPort-SDR: pRAXHR0oaOOFIPdhXFuM3Y8AHOJ5zfWBwbx8qE9NHPzlrQJjqQfb8IP24ZpG78kX8Z9aplMT2L KqZV4gTk+i8g== X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga001.fm.intel.com ([10.253.24.23]) by orsmga105.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 04 Apr 2020 16:02:23 -0700 IronPort-SDR: nVwJIECLipWWHk0CmuJlk6+e1s0hQmdPTN1ygxVi5FjvGk+pK8YYH0gQm3E+mzbg+j8ru2ATt/ cZQq+mpkVYnA== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.72,345,1580803200"; d="gz'50?scan'50,208,50";a="360860199" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by fmsmga001.fm.intel.com with ESMTP; 04 Apr 2020 16:02:21 -0700 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1jKrnv-000FL9-Gk; Sun, 05 Apr 2020 07:02:19 +0800 Date: Sun, 5 Apr 2020 07:01:50 +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: <202004050609.4GY8rmPe%lkp@intel.com> References: <20200403213312.1863876-2-helen.koike@collabora.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="xHFwDpU9dbj6ez1V" 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 --xHFwDpU9dbj6ez1V Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Helen, I love your patch! Yet something to improve: [auto build test ERROR on linuxtv-media/master] [also build test ERROR 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: s390-randconfig-a001-20200405 (attached as .config) compiler: s390-linux-gcc (GCC) 9.3.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree GCC_VERSION=9.3.0 make.cross ARCH=s390 If you fix the issue, kindly add following tag as appropriate Reported-by: kbuild test robot All error/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' 463 | struct media_entity *entity = &vdev->entity; | ^~ In file included from include/linux/kernel.h:11, 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' 987 | BUILD_BUG_ON_MSG(!__same_type(*(ptr), ((type *)0)->member) && \ | ^~ include/linux/compiler.h:330:9: note: in definition of macro '__compiletime_assert' 330 | if (!(condition)) \ | ^~~~~~~~~ include/linux/compiler.h:350:2: note: in expansion of macro '_compiletime_assert' 350 | _compiletime_assert(condition, msg, __compiletime_assert_, __LINE__) | ^~~~~~~~~~~~~~~~~~~ include/linux/build_bug.h:39:37: note: in expansion of macro 'compiletime_assert' 39 | #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' 987 | BUILD_BUG_ON_MSG(!__same_type(*(ptr), ((type *)0)->member) && \ | ^~~~~~~~~~~~~~~~ include/linux/kernel.h:987:20: note: in expansion of macro '__same_type' 987 | BUILD_BUG_ON_MSG(!__same_type(*(ptr), ((type *)0)->member) && \ | ^~~~~~~~~~~ >> include/media/v4l2-subdev.h:888:3: note: in expansion of macro 'container_of' 888 | 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' 491 | subdevs[idx++] = media_entity_to_v4l2_subdev(entity); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from : >> include/linux/compiler_types.h:129:35: error: 'struct v4l2_subdev' has no member named 'entity' 129 | #define __compiler_offsetof(a, b) __builtin_offsetof(a, b) | ^~~~~~~~~~~~~~~~~~ include/linux/stddef.h:17:32: note: in expansion of macro '__compiler_offsetof' 17 | #define offsetof(TYPE, MEMBER) __compiler_offsetof(TYPE, MEMBER) | ^~~~~~~~~~~~~~~~~~~ include/linux/kernel.h:990:21: note: in expansion of macro 'offsetof' 990 | ((type *)(__mptr - offsetof(type, member))); }) | ^~~~~~~~ >> include/media/v4l2-subdev.h:888:3: note: in expansion of macro 'container_of' 888 | 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' 491 | 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' 499 | struct media_device *mdev = vdev->entity.graph_obj.mdev; | ^~ In file included from include/linux/device.h:15, from include/media/v4l2-dev.h:15, from include/media/v4l2-common.h:18, from drivers/media/v4l2-core/v4l2-common.c:47: >> drivers/media/v4l2-core/v4l2-common.c:514:36: error: 'struct v4l2_subdev' has no member named 'entity' 514 | "enabling stream for '%s'\n", sd->entity.name); | ^~ include/linux/dev_printk.h:122:47: note: in definition of macro 'dev_dbg' 122 | dev_printk(KERN_DEBUG, dev, dev_fmt(fmt), ##__VA_ARGS__); \ | ^~~~~~~~~~~ drivers/media/v4l2-core/v4l2-common.c:529:37: error: 'struct v4l2_subdev' has no member named 'entity' 529 | "disabling stream for '%s'\n", sd->entity.name); | ^~ include/linux/dev_printk.h:122:47: note: in definition of macro 'dev_dbg' 122 | dev_printk(KERN_DEBUG, dev, dev_fmt(fmt), ##__VA_ARGS__); \ | ^~~~~~~~~~~ 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' 540 | struct media_device *mdev = vdev->entity.graph_obj.mdev; | ^~ In file included from include/linux/device.h:15, from include/media/v4l2-dev.h:15, from include/media/v4l2-common.h:18, from drivers/media/v4l2-core/v4l2-common.c:47: drivers/media/v4l2-core/v4l2-common.c:554:37: error: 'struct v4l2_subdev' has no member named 'entity' 554 | "disabling stream for '%s'\n", sd->entity.name); | ^~ include/linux/dev_printk.h:122:47: note: in definition of macro 'dev_dbg' 122 | dev_printk(KERN_DEBUG, dev, dev_fmt(fmt), ##__VA_ARGS__); \ | ^~~~~~~~~~~ vim +463 drivers/media/v4l2-core/v4l2-common.c 444 445 /* 446 * v4l2_pipeline_subdevs_get - Assemble a list of subdevices in a pipeline 447 * @subdevs: the array to be filled 448 * @size: the array size 449 * 450 * Walk from a video node, following link from sink to source and fill the 451 * array with subdevices in the path. 452 * 453 * Note: this function follows the first enabled link in a sink pad found in a 454 * given entity. Thus it won't work if there are entities with multiple enabled 455 * links to its sink pads in the topology. 456 * 457 * Return the number of subdevices filled in the array. 458 */ 459 static unsigned int v4l2_pipeline_subdevs_get(struct video_device *vdev, 460 struct v4l2_subdev **subdevs, 461 unsigned int size) 462 { > 463 struct media_entity *entity = &vdev->entity; 464 unsigned int idx = 0; 465 466 while (1) { 467 struct media_pad *src_pad = NULL; 468 unsigned int i; 469 470 /* Find remote source pad */ 471 for (i = 0; i < entity->num_pads; i++) { 472 struct media_pad *sink_pad = &entity->pads[i]; 473 474 if (!(sink_pad->flags & MEDIA_PAD_FL_SINK)) 475 continue; 476 477 src_pad = media_entity_remote_pad(sink_pad); 478 if (src_pad && 479 is_media_entity_v4l2_subdev(src_pad->entity)) 480 break; 481 } 482 if (i == entity->num_pads) 483 break; 484 485 if (idx >= size) { 486 WARN_ON(1); 487 return 0; 488 } 489 490 entity = src_pad->entity; > 491 subdevs[idx++] = media_entity_to_v4l2_subdev(entity); 492 } 493 494 return idx; 495 } 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 --xHFwDpU9dbj6ez1V Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICOUKiV4AAy5jb25maWcAjDzbcuM2su/5CtXkZbe2kvgycWX2lB9AEpQQkQQHIGXLLyzF o5m44lvZ8m5mv/50A7wAYJNyKpVY3Y0G0Gj0DQB//OHHBXs7PD3sDne3u/v774tv+8f9y+6w /7L4ene//79FIheFrBY8EdXPQJzdPb79/cvr+aeTxa8/X/x88tPL7elivX953N8v4qfHr3ff 3qD13dPjDz/+AP/+CMCHZ2D08u8FNvrpHtv/9O32dvGPZRz/c/Hp5/OfT4AwlkUqlk0cN0I3 gLn83oHgR7PhSgtZXH46OT856WkzVix71InDYsV0w3TeLGUlB0YOQhSZKPgIdcVU0eRsG/Gm LkQhKsEyccMTjzARmkUZfw+xLHSl6riSSg9QoT43V1KtB0hUiyypRM6bynDWUlUDtlopzhIY cirhP0CisamR7dKs1f3idX94ex6EiINpeLFpmFo2mchFdXl+hkvRDSsvBXRTcV0t7l4Xj08H 5NC1zmTMsk6qHz5Q4IbVrmDN+BvNssqhX7ENb9ZcFTxrljeiHMhdTASYMxqV3eSMxlzfTLWQ U4iPNKIuUBiKa23WrReRM25CQsHYw1Y4cLdViL++mcPCJObRH+fQ7oSIkSc8ZXVWNSupq4Ll /PLDPx6fHvf//DAw0lesJHvQW70RZUziSqnFdZN/rnnNSYJYSa2bnOdSbRtWVSxekXS15pmI iJGzGgxQsIhMxSuLgLGBdmYDPoCa3QIbb/H69sfr99fD/mHYLUtecCVisy/jlauoCElkzkTh w7TIKaJmJbjCMW0d49Uyz7VAyknEqB9dMqU53cbQ86heptqo3/7xy+LpazC/sJGxL5uRoDp0 DPt7zTe8qHQnr+ruYf/ySomsEvG6kQXXK+muyU1TAi+ZiNjdFYVEjEgyWjMMmljwlViuGlBk M3DlTXQ0MEcRFed5WQHXgu6uI9jIrC4qprZE1y3NMLOuUSyhzQiMdrIVWVzWv1S7178WBxji YgfDfT3sDq+L3e3t09vj4e7x2yDEjVDAsawbFhu+olgOrAlkU7BKbLgr2kgnMAgZw3ZHQsqa o7vQFau02w6BoEEZ2841a64ROWonpDMoWsZa+PB23d4hnd51wtSFlhlzpavieqEJbYRlaAA3 Xi8L7McFPxt+DTpKzVh7HAzPAISS9PtBhiDcLEOfmsvCxxScg1fkyzjKhK5cBfYn4rvRSBRn TvQj1vaPMcSsvDs9sV5BoAB7hXTqyD9t9Eqk1eXZiQtHWefs2sGfng2SFEW1Bt+e8oDH6bld FH375/7LGwR4i6/73eHtZf9qwO1MCWxvotF667osIdrRTVHnrIkYhHSxtxHipZJ16YRPJVty uxG5GqDgWeJl8LNZw/+cKCVbt9xC7s2VEhWPWLweYXS88iODlAnVODhC1rBzJxq3TEuRaNpL WrxKJgKIFp+Cct5wRXTdEqzqJa+yyOu6BNdaUarRtkn4RsR8JABoF1qBbhZcpdPsojId8TI+ y3Fx4HF6FKucYA9DE3CAYNcGWI1K4lkxmJACEGXARRLQFryiSWGJ4nUpQcvR2UCk7hlYs4Im 2jXDnIqLUg1zA6MTs4rWCDS1viaCuE2crpx8wfxmOXDTslawGEM0rZIgiAZAEDsDxA+ZAWAi 5cH+JZPRpUF9JIYeSYl+rzVBgw7EjQTPl0PC06RSGWWQKofdyykhB9Qa/nD0AGKSKgt/g6WO uXGuYIyZq5meall77ux8CG8Faoa3jLAdcvRdbfhDmX+ziqPwKF2xAiIXx/yYSLePSTwzGf5u ily4WZKj+zxLQarKnRWDcC+tvc7ril8HP0G3gyjYguO8vI5Xbg+ldHlpsSxYljraZubgAkz0 5wL0yjOgTDjpFUQBtfIsNUs2AqbQitARDjCJmFLCtddrJNnmegxpPPn3UCMe3EdtDDTownjR cPlNnuNOBqLpz65OGGNkoIQ2wIh5kri5vBE1annTB8ndWiMQumw2OYzCd8llfHri7SrjG9ty Sbl/+fr08rB7vN0v+H/2jxAJMfCaMcZCEN8OAQ7ZrR0/2Xnre9/ZTR9y5raPzrk6femsjnrr PewqhFpPa3ePLGivBRkpq5pIrWn7mTEq4UPufm+SJmM4CAVBQZvc+o0Ai+4SI7BGwV6W+RST nmzFVAJZkbcR6jTNuI09jJwZeIqRLDCQgrQNC0FkViFTkXlbxhg243y8/MYv6/TbKHcizxvI b5rEtfbYeYSqWySCOZEo5nXgnLpIy5kUJOFrM4IxrssKV1cc0jAC4RkzB9hv0cZMyzeSS105 W9eP/1p1BgF3etyRYSZviJ34QIL9wXYQtzo+sYxF87kWaq2neqlhESLuWR3NClhflsirRqYp xEiXJ3+fn/T/9NI6/3TiyM7EBTKHkaXgsfvZupO1tbwM9hQYw189O5KBgGBLmCkZi1C+PN3u X1+fXhaH7882NXKiabdpbiZ08+nkpEk5q2rlzsaj+HSUojk9+XSE5vQYk9NPF0coeHx6dozJ +TGCjy5Bv+sGYZCWZZDELBrFMEdwOtscBDCHxtnPNj8nTEU/a2Kyp7/ONDhvqrrwIlj83VlG chyGYFKELXZCgi12UoAWPyG/FjkhPosNpec3PR9NFEQ21xcluouPkfDTG+OuKC+RO7amUCal urz42OurrMqsNoZ4nEJUYK4gf96So1vdgARpIQHq7NcTYjCAACvldmS50LSXzrGJHdBKYRHP MYT8msfBzwb8VWiw8ZjEIstaLdENbt1BGJpJP9sWqQsZlW4jiOElnsfQmRM6WzSlXiZjesB0 AuNCstg0Z1KNzc33D08v38OzE+svTPEVQhvwpm3XNHoIOVy8bdRVu1u9OEaj4K9N2FNLpcsM PE2ZJ01ZoT93cgIJeaKp3mBEICFwUZefBqsA6cJqq3GkoOT68uPFUEWB3NtEAK5YzZFWsoX0 G7y5wZKi9SRnS+u/SK9O3HP8nAhJxULgqWEHpXURY4anL0/Pfhvsvgbv7mUe8UrHqLeuA4Yp 1Y634CzJW5KhIO6NygwreXt4Btjz89PLwR1nrJheNUmdl+SMvWbO3uYxWotRgF8+/Xf/ssh3 j7tv+weIuAP1WokINoIpbWI+qUWg3WVOa3TIdUivr8JEpeCVSLroYnP3cnjb3d/9rzuYHSLS iscVWAMsN9d4fGkHtay59mxiOfIfXde5myCWZYaFHLMpPavQIWBVqbOdDi01wQxLN7p2usFQ rFltS8g40jBeWG/yMQQPTPyTHReThlleC2+UrP2ifI8dZcoIZHpbgFVMaWiD/ydYYdiOMfN1 YwJILHn4DDapGJ1q4gCLDaxXAlt2zb36aE+xMccHpnshvQJLTwJxtF8l8PXAG4g/KrMGNQAq Jd32eLCIK3b54IN0rIWrERa6wRIgoRAGOya3h4g2wYHAesli6vTGDG3Q4HbzBHvAlq73918P +9eDE2PbeRVXosDSfZZWAZuhiXcAv3u5/fPusL9F9/LTl/0zUMMGXTw9Y2cOe2tm/MKP9aZx UHmUNl2kfKJZvg7vtlnb7IZo8jsYtgaSXO5WhCpY5Bi632p3qm4nPE1FLLAmUBegFcsCi6Ex HjcFfgorEHh8AfulifAEOVS2MO+yUMUrGmGhDZiiNCj+GbxXVxuOgg3pSsp1gIQ8GUuYlVjW 0vUZXd4KgZ05n2yvWhARD7jZSqTbri47JoC8sfXlAfKKFZjdtj7VHKDZOyHhBHTe5DJpL1iE AlF8qRuGOolOuV0DMJGhGNoil+cKsEKE7Sm4KaFbnuj7KKFSqkNhieJcntcNhIgr6MMmw1hi IdF4XHaEBGyV/WskfasQ9oxqVAa1Q21110reVBkCiradveUygUtkPY4FcX0bUcaNPa/v7s0Q omqDBQyqvUpBe/fIrELrkaUyB9gBl9kD40ETYQIwVaDDAu9xFrgLJjZTgYEu7n48TyKEZqcl 06pJgO82wII2d+Eyj0UqHO8HqDqD/Y1mAyvhqDrEVAyqi/TDRZHltrsaVWXj/ZIJGzn3RS5H 4BkWz/C4D+LdRDtHKBKvMYmlrmHIRXI+QrDYd4ttZfP8DKLrhhC3mckmZ2Ufanf+jIANK1iB Uaq6ZEldOUcAM6iwuZUx2dxD9d4DEwu3Akz5kb4TmxvFamvCFesLY7n56Y/d6/7L4i9beX5+ efp6d28vPfTdIFk7gbkODFnr49ojgaE+OtNTH9tCyoVXciBuiOPLD9/+9S//ZhreKrQ0XkXJ AZMx+Dsdfp++grDxeMb1cOYkQ2O5friz2G4Ir9xjF8kmeJlkCVkfaKnqYo6icypzHLSK+8t9 /gHZiFLQtz5adHf/bI4GS7xXTS4g9Smc095G5KZMS98MK8BawC7c5pHMaBLQ7ryjW+OpEVUp a02PueCRQazgXgeI/OQaz2khDzAF6WB7IwpjWrA0n2svcBquGcAGwxjLR+G5b6SXJDAT0RiO acFSiYo8P25RTXV6MkZjRSAZg8FoyqpqDyKGq0QjLEjnijoQxvnlCdZrrM9TfhdXES0MgZd5 wGRsJ7CxDKUInJr883iQeFCQUmtrFgXr8iXrL/2Vu5fDHW7KRfX92a2mm4Mak+2yZIPn1t5N DQbxeDHQkOrGxDVN0TkNnQ54j3kOruQY84opcYRGRPnsAHIWewPowDqRmh4ZXihLhF6biI7i KAqYtK4jsjXe11JCN9e/XcyOqwYm4Hr50JXnh5KJWTnH+ROS6fhnYAmuqanruqAnvmYqP7Yk PJ3vFi/IXvxGdevsF6frrqwTaKirzflnLJX52wJgGMa5VYEWrOyBoK3IyeHulaP1QCWkrQAn EDr5t+Ad5Hob+VcoOkSUfiYdo9/fUGHqrmNC+iT800Dm3/lhujgNohl7Sx/iR7z2rra+cZ6i aKLVDNERHu9j4N/KnSTRbFTPdcnQZ88OxhLMD6elmR/QQDRccSJobSw9J2dD8Q705JgHiskR eyTTIjRkcyJ0COaHc0yEAdGsCM1FwnkZWpL34CeH7ZBMjtqnmZajpZsTpEtxZEjHRBlSjWSJ D2mO7JD+LJ9VEksqKneK3ybYto3Bscurwo1OIByDrGUCaYY0gRtSK3vTCObBytJQGFvL/97f vh12f9zvzZuphblu41YVI1GkeYX5bMB0QJhynCMJAIUlQfxtyjT9Mw5sN33nt2WuYyVKr5ra IiD+jolm2E1bDOqt+9QM3YO04WBiXPfsT8zCGoE9/sKEgbs3650DuGs8GeMUagP/wTw6PKMb UYw7NYE+eKWENzN4PDsj8CnTVbN08wazlmvOy76tl8l554BU4GCP98zRnj1V/jgsRl6GVQeI HlVQnzcjZUmimmp8oB1BNk9ey8TqWueZB15r7axSp2lG0BD9mU4uP5586k8SJ+pETlI2xkNK dcW2lM6S1Lm9WjiMKqQyFb2YQYDi7ZeMQ1yPUPpa2sQla1ScoahFktyUUlLh8U1Ue1nEjba3 8uiXWFwpvyZpLgAPszQlaQPHAtbaK/fZW0cbUyt01IArLO517z1a6BKvY0PmtcqZ8hTTeDZZ ZFhIK83FXDKt6s1fWXFbzGNeOWZ6/3cc8EDou/MDJrpU3imCXke41XnRVb+NZSn2h/8+vfx1 9/htbFLwBNtla3/DojFHTJhp+L/w5DiA+E28YiL8GC7GDyoN0EpSO+o6VQ53/AWqvpRuYwPE uvtEc3sOmDK/S4OBvAvP6wR57GUorGkgWuJZj65ETK0vLsiae9c4WlDHj2gk6njj5bQpQshb M07hF3504h4GmJTmKQD9OkFY3RnykNJe8Y4Z+XgV0F06b85vgyQGq+8R1om43SQ0B9NBmbXP cd2nu6Vl2lKwahVwt9gNV5HUpNQ6kjhjWovEY10WZfi7SVZxGfSBYLyVT79GaAkUUzTe7L6S fNZqUUsMMnheXwc7tsRLVIV7CtTTe6PO2wkGD6L0tgCYXAu/yml5bCoxMZ46oftNZT0CDGN0 lwyRbBUAuPal2sLwBuhkIbUjgv0ZT8jezia8EuJifVtjQMCNAuPMw61iEIpdGcRcF7CC4Fek U2vDXuDPpVvtClGRe0bTQ+Oahl9BF1dSUoxWla+1A0IHshsRbCP3KKiHb/iSaQJebMh+MEzH vTvXVUYPccML6sZSj99yV5t6sMggb5FCkzyT+Mi042RJNowiRWpaF5bBytCxhcF2KzdqtprS 4J4Al2GWwizILEWnH7NEMPFZvKJXo0N3grr8cPv2x93tB1ewefKr9t5NlpsL/1frITD9SCmM +eaCb30BZV8yoTNtEka99sJdeGFtjrdzL9B6TBqOixnLgd3mogyHL9ytYnmEttLQgXkdzUIL 2n1uHB5+CzD0Uy08a9xB6LHM+FYcVR3hwUwItj6FBB5hWIpcQx54FvbDlxdNdkWO0OAgVo4p uPf2LC+tnXN/dmo2pBMGivymPrgBC4ffA8ELAm2E7vi1sirbYCENIzTTCDI/czQF4UxeBg+y B9LwzkEPItxBpEQCOYfbqv2Qy8seI/Kvd/eH/cvoYy8jzqMYf0DBX2At1xQqZbmAhMQOYqZt 075KncSbb1EEEgtIMjkrrp5O6tRjhE/3isIkZVT71L6qDgKgFgw8IaHwwL3iuj1YIN4rosO4 ngL3/RES2+cEUYVPr5ecOtBA5PDS2msTiM7H4RdnJtiNYjmAyeh3a4A9LtPfErFYWbGJPhT/ nfsvlu1EJq71IxKy25U/KD+TQ4jNUYKh69QH4H226y2ll9f9MpvddG2qaa+L26eHP+4e918W D094dvJK7aRrfOek1mHTw+7l2/7w6l6u8NpUTC0x+MUHVFO5wIjavIfWNXVNlyQfTNMMVaJd O0lRrLIj+LB2QRFhwcS8an3n4DPX7JEEcjlP8J5RFekxO+PSdmZrhggzcu/KAUVU8SNcek2d Hby5OvXOwVP+a8wwLnPaKXg0EGThZaUy1PmH3eH2z5ldUuEXgZJEVdtyav6WyHPkBD78UgRF Ahbeq1pTNGU9i09iP1OiSPhm9PGBGerprWYJeFzM4/WxAaGxnLTxBPnU1rZoG/UeIVGsWE44 854qO6veKaOMF8tqNdul/WraHIUXIJL4GdPQkpjQVap3WGfboEjDz/XMUYNzep88guMugsJW HY9MBw8hJuMMgnxd4S593xCNvz/Sf2sX39u/4izL308cw1Z/31h1XB3bQjaWeG/nffX2nf1X /ocZCJJZK9yS2Ptuc+Oqz4Onrd13nuYyBa9UGYS3A2LjV103epS+Iyz4oIwFQpxlX7udnrVX YcqNXhxedo+v+HwL74oenm6f7hf3T7sviz9297vHWzxhIF6FWYZ4KVs2k0U/h6ZO6PR9oGCd gSVwkwgWlpl7DKra6PWZme9rdxnH+SykaahU2MmVCovkAMzoD/21LTJKFS0ulSF/uUlDUBZl MdEnQKnYrV3sVchFjyD5mIYnIaj43EUVRlJ6NS0svRrU6TenTT7TJrdtRJHwa18Hd8/P93e3 Zhss/tzfP5u2Lfrf70itU6x7KWbqEc4HLQFu7ckYboM8At7mjgG8y50IRFKXHdRLq/A8BeFH UtDgOMKZEcnXpMqTbRA5mhI5clgRQIlynGJbTBswrmil6wm8mMlFqDKsrLjYqspCBE3eBfZd 4hrwKpb+Oy+vEYxtcvRdPF1l4+aKXU3tcMCC7K3M6Mt+M+ra6vN/Lt6n0YPmXkxo7sUlWRlB zKxKXUyohw9vdclzLReB0viITmcmELwWFx8ncLh5J1CY8EygVtkEAsdtr//4y+uQ5LRqX8yr sIuuJnlrNcOcyOtbzER3k3vgwtsEPhiU+NJ98D2rdqQdveh8QcLjx/1hTmmdw4nYfE8ubZaK RXWGX0Eg98kxnmOLPKp7plVXkM2594k8q7ohfVe8TRsehfrb4gABf/oFdQdVDQs03CBy0QVZ RXNIfjs5a85J3iyXwasDB0dae4fAfb/tgS8mOE7lqA6JX69wEP/P2bMtN24r+St+2kqqTupI lGVLD3mAQFDEiDcTlETNC8uZ8TlxZWaSsmdOdv9+0QAvaLAhbe3DJFZ3owHi2mj0pb+cBDir wOO7Q3LKGLUv4w+uRZVdyPrjAjmO4BZ3NKoWsazR4nGbbBmS/RTQ5TokMx3WRNRvH/QZ1Ks3 BoB5nubTe7ddeBpwx7mM30PHRM+oA6JoHofMRa/odRiqYmpAHywtff70h+ewNrA39YbZewzw NYcHJkwdk0ZwsnIf3MG7NNdjy+B+4X64wRgfPPLFGrDYsIA1uVte/+x4JummAVLPYep+Dqhd HT1s7n1uFqo/eT4pJv8OWk+jmtn6Juar3Oe6O4uy9N+6RkJYeLAFLam4fnbndvn2e7l9CSZK ZJkzFPpHhD+ZZdQTUButnUKscty6qrT0WvCQleeK3CykEAK+ZO3KEyOsK7L+DxMDU4IukmFB b6K9onDIGbdEAROcIYqtWRNPP15+vOj5/c/e2QNFtO6pO75DXlsDOG2oAH4jNlFYoWagdsZ6 wKp2nV8GqNGmPc3hNfbsGsAqudYalRCcGvGUEdBdMgfynZoDRUNQNqz/nFkL9zUZTHZAx2r+ Wgxw/X+R//p1zi+u6QU5duATtOQqiTrsbtLwtDwEtHoG/0R1LS9j38QLwMlTCMPZQVD0c1ia Er1eSV+5NdSnMVc/L2DDPY3xzL7N9P08Aps9Y748v7+//qvXCuClxLMZKw0C/+GQJtDgG25V D//jI8wed0+xTOir4ID29Hw+W3Xy1Z0jnLyhDZXqfY8qx6+8dtgOqJIpvIzLzVNiG7i5qqDo sIAReR99cQbrvfJXEYHi+exDe0yxu5BWsg6J7kSyPk+snxCNaBsSwVkhYxLj+XkMfcDIEP/j nJeuyi7mzmEVFwqiYpeQ98U5nPWmzIzbLDqgR+jwJ2UN7FK51ksOPEaS7wR3wyc54BwsgQMN 6ZNkXG+Hp0R2MCaqbYA1PIyGRJCyEsVJnWXDqQvyqTd2nqocIDN7zxGRaYFnNwvHNlAZb9CR mB5qY8iCpcG8mm8wAOv2ipInDWqIifUVQfW8s3YdaFkWrn42Vd7itP2DbWHgyX2ll6yCZ4YZ qvBiSMHvrhQ5uNd29jWe2hdrNzpWnZhMGe6J0rr43h0dqsNShoOY2W4bARLyJ6iLF09r94QE MohW/YG+k0KEsKYWLJ851QN32N3GN0nXNeIOglHNhDB9e7VRXdDYxnVZdfoGLkPqihlPD+H6 YYz9wlA9+qevWXQwO9f3AgD7s1/4w3K72s6PSS0fxy//ef30che/vf4HuTRDqRN3Qx4bSDsD qWwGsnMMNYCzjIPCH4w8A+vbtJMVHzup/6LitwLB4cQguFLFpXAjxZkqullDDEjLFqyBMPqz Nlksp6zkDZ4/Pi5mhQDYSUWZSU14p0oHJxMJ/09in2kO/w0wrAQ7kN+rPjCITIqBIlfYtx2A yWb5sFhi2NSRGD5U5zdxbAbp3Gh6uZ1z69sI/UUj6I4CRzH72DrOU1XpYYLQ6v96/vSCrLOg QCpXy2UbaFnOq2i9bF2VJsFxrOmodrgmh9UGgnlognmnWyBqlFAxgCkpz6xSNefUjwrBLOc7 1pmmBZaOGSCPwEEfhy3F6QHvSzE/GxHEumnR7xXE9jHqMhK9ddeuvmWAzN4eJkRh3hKyUpHu cgPZTFFVt4eAb4kuc+BkZHr6TIBXt/qItLtnmbPW+9l3jYlB/usYYLVODtI9pOxvsIZTM6As qiOSrnr4viLjusIxs8XGPPr3LF5FD/YkL85kgn9RFFAYiQYGiOenqMCCB8/MHgbG/k1zIZR5 PiEEJ3MFYPKxyVVZJKBu28uGZRhY4D2qB3VmVVMsDfbI6gazSedsVBrjl/heNHh+u0teX75A koevX398G96cf9Jlfr77bBaCa0KnOTV18rh9XDBcJUp0BwAwVlq6OzkAk7iaAToZcb+1VbFe rYI7w0Shi16liEznBPour09e9wPE36cm+HVO1GdAgFM9QNda2ZNcGeG2IqeFBV/nvUrOdbH2 aVDt23WauFvo/3FGDEwqxbRY76lXZOIAHNeJSa/bw0CWpVSvEMC1d9HuQVqk1ssN5YoxOaFM ZFvWiK71jfAsPnfjZyVMZiW6n4ombcoyG249zh3ExDTthfDhyA6JlTZIpism+D/6nI0KAQUs ERSZeogLDyWAAJMzlDTCAvoDBsM7wWvukaoKiYoDjNI2+SQVqEv6sCBzBgYLoTYsDTkZJ+Kr uZ9M2+PKa3pXNbOmdzvq3gDdliuv52dZM11G85caB1fb/CJDZHWcyBYIVIPzzphhSww4wBI5 2wNAlicM0FfJGUumr5AEQ2e2uEXcScTpi4BLolK3wxHG5jGxsdE0n09/fvv+9ucXyND3eVwC /cJ4f/33t/Pz24shNEZ9arSRQ6N79gY3PneimsNAhJ4Neg83kRqD06enEZXfjbk+nAtS5rvW fCtBP39+gZxIGvvidMM7MgQcBMibtGM0L7pPx/4W3z7/9efrN9yFENPaZJDB02aA9vnXEm+a CT0t/fjUqIqx0ve/X79/+p0ea9Sd6tzrZRrByV69zm1qHWd1jMcq55K+idax3S771v7y6fnt 891vb6+f/+0KKRd43Zq+3/zsysiH1JKXqQ9spA8RhRgypWDKUqVy5+bQY5WM8fNMD+oaJR+j JaVw6gliqWzYyFKL0KuFj+53oLrtmtYIVoqqBWJXi2IvA+lsR7LAljdVdsztywFVCYQGoW71 A96E5ey4FbttKtbnv14/Q8w3Oxc++6en00nrx3bWn3oPU11LwIH+YUPT70URUa2vW4Ojn/4D DZ2it79+6s/+u3IMMTJWcbTxcFORVeQFQPdIk1dYSTzAuhxc58hRUw0rYpZdyVFsqk1knZs4 iSYz7EzOT17fvv4N+xsYMrt2qMnZBIxFF8YBZALKxJDH1RGY2qZmY21O1smplAkUbrvB/VaS QItkWRbUVk9F6Eix/bj5Hzferk3oWFBuoDhVY98bVUAt6fvaqCnw8khZOOylfdnOZmOhRyfv nkrVHY4FBH0OORwYZjb7Qs/SxLQnaS2rgUyE/ITVRUHaC1GfpHKj/owpvCGut5ZnTEU0+nTM 9A+2k5lspKs9qMUeBbqyv/vrD4apTOZIwB3gbjT6EZbPgXnu6gKGmtyYcbDpqZTVdqImeM4B MhFa2Jw7p+EwzfOVbZbN7se7cwcei7jg8XAq9YXGC7FUg/A45GIcG7UvQhGPG1rjU1J3pIrV OA9fD+hYu9k8bh/miGW0uZ9Di7LpXAGwD+7rNniI91scswx+0MZdPREIYUrF+mNktYra9irx 0UvyMiOAx6yrBHG9ozttbPQNvDrcwLebq/ia0V/A47rM4XWFx6eAIg+kEljG+hI627DVP7Xw fffblz8//dFPtfnBOTShrXQjpve0mCulUQ6AKUfLDr+6KSOICxX84BMmroRjIPhh0JZzjw+T bsnEtXPsSvp3x1uT59Zg1gpPKKvDOuViftsA6CxTyjgpoAihEYEybrwmF56esY8+wBK209ul 8qHcA1h7ZRJoZjiNSbA6CWH8dUEQDXF1Br2O20s2FuPr+6e5hk+JQp8YqsukWmWnReSmOInX 0brVF/QSXc0ccEDT5FKgrV+fyfkF7+dVyoqmdHSJjUxyLw2OAT227dJthh6H7SpS9wtKztZn QFaqo5aPFJyJKFt4qk+UDIntrIrVdrOIWEZG/VJZtF0sHLNlC4ncpJ99LzYas14TiF269N7h BoypfLug3n3SnD+s1kiwjdXyYUNnjdS34EZ/qV7V1aq/FtISpreFUbfKxkvy1UJ22rZTcUI+ nUG40E7fUlDSCB75/qs2IqrQm1FOudRZjN4nI8recMI6BpQ90CZ8civvETlrHzaPVG7HnmC7 4u0DUXC7att7Ov1kTyHjptts00ooauh6IiGWi8W9uy69zx/Fid3jcjHbvyw0dIFzsFqcVFre bdwIic3Lfz+/38lv79/ffnw1uZ3ff9dS82fH3/HL6zd9zuh94fUv+HPaFRpQdrnN/n8wo3YY vB0gjKdOZ2AkzOA6VGWzOSS/fX/5cpdLfvdfd28vX56/64a8+yfCqaxwHsCTu/PatGH1kOpg 8BK5wtgRms9PWIjWv8dH4E7UdQm3BA6H/eXXhTNzeEpaz8DqYZkefKxHHleVr/GbEKEXk5Tt WME6JjF2iMrpngRW/OBKDnLHrCNNMou8REqbmslYr8WGjC7cZ3Rzi6N81AZipOVknK2mBX3V Ni3nT3ou/fGPu+/Pf738447Hv+hl8/NcGFLYDiGtLZS+eY2FaGvXsTS52gYkzjWp5HTYeHD9 N9zmXRWwgWflfu+l2DBwBS/W5l44Fw+hd5phqb17Y6MXlR2LGcuEzwcJU0jz32sj2SmmRvY+ PJM7xSgECuA/Qm3CPzemg0XVlfMBQz4975u9huu7vnm8Dn9anJKzn5rro+SC0g5ogb2P12kX tdNqwFX5GIOEO3rfv1+//65r/faLSpK7b8/ftRQ/GSg4IwcsWOoueAPKyx3kNcrMU4sJrbCY FSEsTgxOFpIvH6LWAzPQpFJ1KZlFnqOGBibU/TMn0sXkaO3lsVExxALSlJEcOojfzpxu1CDY SBYzyHIOWXh1AfB+TVkRayQZhFXDzdsXFSJ3570/2t9zO40e3i94FTybx/tqPiQ/nHdfjJ65 4jzIzDBBuT4HYnvzAhdIttc3S/iB4jt4dDadX2+fiqh2+rZW1VK5V57YvN8pqRrQOOKUHDFk UzJheLALhYYbryP6K1TBKpWWDeLTpLKA0+AkIcCztzECPz9M94QySQNmwb1jOIOpBwVglpWF T5xLWNzkPqKxMM9CuI+iph0egOswBUMEscgYNRUBdcTid5yb+N8hTlYVHcImGTsIOli5xuoN TgZCmcOAzSyVXSx4mZohoI6OOKfyU0Gn4dxTQ7QwfOPjurSXcgtgoMRw1wHAKixuAAg0zs77 z2AiPV3Mp1ukOSksnDr/dtXsNp8ccRpH+7uXbCdddg9lVN/0SDDDUnvhZrjuMSgnbw+bxAYr Awsh7par7f3dT8nr28tZ//t5LrslshZn6XbtAOlKdB6MYP3JEQEuUBeM0FJdkPx8rVGj1sJY aeFLeTFNgWmvLYs4ZGdrNAkkBtq1P+oDj768PZkcxgH/Q2NPHbCvMYHTAsq/nHHfqXeaYVUQ dWpDGFDMB94Y9qSLpG6BEliBJBoQQMss8DoowdmQ4NQcC1eTp392JzM6JsMyGTf5JPRBO9f+ FaEwRllOJsmCWk41ivbIak63EjxK7asIEnoNODg1ABuK1dP7tPo3JgcrijBOy136bKUnFeBl 3Dw+RmtacWMI6JDKgNJynogWC3oYgSCQxAJQevhLWvi3NpS2Byn9BaTTLfzcDPqYifUtdcVL JLo0lyotw0NqC7GYVQ2eoj0IxJIatpQbDLSEg/YH0SxXpL20Wyhj3AgJSBJUWq6mLXRR0UZ4 yfm4ngP09tCrKxoytL/LNGcfy4LsVYbFaf1zs1wu/dcCx2xClw163w089XZXNJLRFdachsPY l966ykJzN1sGEaF5mS1DnXhrNI9aUEOx3iykK3abzWJxvfCuLlnszdzdPR2daMch7m1g/9oV Ld0ZPDQ7GrkvfSMEhxn9aKYuWvDOgzEAdcGQ6970wZzF+EgtyMi4UxkoUHBBzgvOTvKIF356 LOC5Xn93hy07SZLTbZLdnu4Ml6YO0Nj2QVhsWj8un45gFHIV6bWR6IRUZApb/fSgrqFXwoim J8CIpmfihL7ZMi3Lonb5mxVRBHLXF2hBxfR56xSKZ3KGFhKyYNqQoVRvbztVlEX046DSIx0w GHX4CX2/Eui9YSeim20XH3kqK3J278vSi6W1P91oQ3pkZyFJbnITrduWRulbEbKOhjcC6gju HaMQXUAMkHtaD6zhgUUn21ARjQhUApgQu/tQyzQiVMa30BhuF/lyQU8Nuaf31w/08+7U5zmr TyJDvZ6f8tBmoA57umXqcLlx4Oa6FlaUaGLmWXvfCVrQ17i1ufiEsOp8FZ1QdtFueySv8Ww7 qM1mTe9UFqXZ0krVg/q42dy3AWdDr9KyX2jObsSjzYeHBclaI9voXmNptO7Sx/vVDeHA1KpE jp9KFOddyUVWNoQyg2BywfbY8Hu5CEyHRLCsuNGqgjV+m3oQfTdSm9UmuiHJQBiP2k+wHAUm 86nd31gc+s+6LEovpmtyY0Mv8DfJrjXp+EARCeFmOl98mnPYWHtz5ySJDrcnV3HS5zQ6svQF iYvYk5PnBcsDarGmJ7PvOSX6vHHWxhbJw6mW4/UEJzv8IsAOMZE37kOVKBTTfyFtVHnzyH7K yj221H3K2KoNGF49ZUGZVPNsRdGF0E/BADNDQ47wZJkjefCJw5u352s/qRzym1OijrER8sPi /sZaAKeNRiDJYrNcbQO3fEA1Jb1Q6s3yYXurMj0PmCKP9RpCLCBrRAu5zlGxXMs7+C0Qjln/ 2keUFOKJbIhJtZ7of2g9q4BeS4FTHozkjemqZIbd+RXfRosVZXyDSuE3Sam2gS1eo5bbG2Ot coWmh6gkX4b4adqt506Nkfe3tllVclCS+aFWBmxjDhz0eU0OuXxuD92xwJtJVV1yPY9D4vA+ YDXJIdhEQCtVyOONRlyKstJ3TCSTn3nXZns6WIZTthHpESeOspAbpXAJ8FbS0g1kKVKBZ9yG jpTo8Dzho0D/7Oo05BEBWC0G6mEl3wAdtmf5scAPBRbSndehCTcSrG4pIqwxlcu8N69irQzv nkkc0yOt5ayKxuTW/eMUErR112eSvgVYuREkwu12HciGW4XiA1YVDVdeAcfy9VsfXyRk+5px NRm48obnKJ6MyTg6AvTq3tMQa53tMOJnm8vDUV5L5S22wWzgWjsHhke16+OpzFTTgOKsoQcX kAd9mQzo+gBdQVa9I63MBXzdZJvlmp6bE55WXAEeZOxNQIwAvP4XUogBOlX0qQo4WaWUzfP5 NWftHbwRfXl5f7/bvf35/Pm3Z93brgn+uLrgsUxG94tFPrd66ofoJkOH342oitQInvIWVK4h aUovNCWDWSNGZ2RqbzghKUr/7CrPdLo3e/vrx/egmdYQj8H96UVusLAkgUTWGUrAZjEQochz BrAImzf9kDM6eymQ5KypZXuwriKmucf3l7cv0P1UIJK+UHlUgqxxwIDH+ZG6Y3lkSu9XWpxt f10uovvrNJdfHx82fn0fyouXoAShxYlspTh5FhvOOIW8x23Jg7jsSs8TcoB1LKa3CYegWq83 tKeCR0SJtBNJc9jRTXhqlovAboJoHm/SRMvApX+kifsIZPXDZn2dMjscAi4DI4kffoSmMFNd 3GDVcPZwv6StgF2izf3yxlDYxXHj2/LNKqJ3F0SzukGj98DH1Xp7g4jTJ8lEUNXLKKAmGmgK cW58F2ufBgLegQLrRnX7MosTqdLef+o6sWrKMzsz+pF3ojoWNydLk0ddUx55GrKQGSnb5iaz vDl0VU5e4J2NyLFsg596f4sIUMcyN/bcBN9dYgoMWgH9/6qikFrUZ1WDHFcIpJaSkLn0RMIv FU7XOaFMpsvBP32SHke80GIFvL7SQubUCAFK8YAqwqnNDBUZJW8iSkoOKgHXTNepqP9Gj7kS tcT3L4TWF7RMmMp9njuer7eP9z6YX1jFfCD0hW/mjjHB6C4emfmKK4Qn1bYto576LB52QL91 0zxAnp0+EkVTGo9OyECFdDADrGMFo3McThQrZ0ZP0FgSUF7uakbA90lEV7+vyYcphO+wo/CE O0p9RuQlNd1GInjN0WugIRqlZCzOEHC3JpBNjlVdE0OjzqSfOQaaM6trGTBZHIlytjePEdda r+U6Lsp6R7UeUDsUHnfCQWA7rOyaPuwsY/3jets+pqJIj9QEHUni3ZYaaJYLjjXfU83Helfu a5ZQ4uI0sdR6sVySDEAGPJJptkeStmIxWRYQXUI/dGEiEMmvVXFm2UFPKS1ZLYkOqJRh4lkb EuiONOOeCNuann+JkuyBimdjF7vJHOLMdvvbXPP0fOEsplGyskraOWrf8JJEpKzQtzSkGnWw B8hhQrTSIelvzAQDu93rnuZlTvma9Z8KG769MzgNnIBgtFyJGnvLu/jNpso3Dwuk6nHxLFaP m3vKhB1TPW4eH+kaDG4b5g/Y4KFCkNJhyTAhDzSlyUXW5a62lER3zSr0MUctlsuWy5rG747R crFcXUFGwa7glw1v8v1ySenmMGHTqGpmi0qQ/C9j19YcKa6k/4ofdyPO7IAobg/7QAFVRRsB DVQZ+6XCY/vsOMLd7uju2e3596uUBOiSwvPQbTu/lNBdKSkv/6RZJevHzSoYd6YaNMKh7c4Y g2ZipzIUWeqFxIHBBt+3OHjKaDecKlfJynJ0fJFNwBp0nPl0c7BMeaA5gFXBw/lTNQ5nHDy2 bVE559aJbb4ltpSrTFVdsVEz4fkP0XAfR77rA8dz84Bv01r1bscD8Un8MaNLFVhnQqO5KBx8 SbveJZ7nLLhg+Sejl50kfT9BDaw1tpxtqa4upHTw/Z0DK+tDNlxp1bkYDJlb67umnCrHgKW3 se8Y6Ow4yp3vuFqnLMbrYQwnDz/2q6z89746nhxuXkzWO/RJWGOrrhkNgnC6joNjlp/zvb9z NfbW6nlXjEk8TeYBRGOhCa5QqzOl8eScdoB6+CWOyebjd9EWG37dobUJXK23tGuHCg21oA9W P4gTxybCf69GwjcZvCOHnC9n+BWTwUk8D1fqs/kwE3WbK94oFsDXCnW9q3L29Do6xJWhqktd utXRweHuQeMafRIQZx4jPaBRCDSmc39gomTg3siGKYlCx5IxdkMUerFjTX8ox4gQR+8/8JOX q+x9e6JSysD8umtL0+dBU/6Ttz+V/notqLOMeG0b4w5KY2Pymb+zshRUXSTQEK0JJdJXD22T wauzvBIySrSnmesdSV56B5PHWmIcUZ0BWdmBXi8VO6xrHpLml4IpSUkoamyBYn5eu7tefMJi oFmyCz273MeOYAfKGQR3NEwiKK3icKgoIZgQjvF6WM04VtwT2FgSE2K1YofnRsIWOo2fUrv0 3K0qzdD1S3Dcl5nus1aQc+p7SH5gBMWjT8qOdmbbl+NZa20jozP/4UzeZTVle7izu7r8kITq BZnSsH07Zv09KP9hbS/E1WWUGMUCNArsWWOwiS3t6rilnufKVAc79xtTxcMRnO2Gz3TJVSOb +6wsdX8hMNnl5HN+kvNFoTJJETi24Z5WO+vswon40s0h3Tsbp9C9QTmo/m9mitgJDToppF8P k9/3LQoxKYFnUXYmJbQp4BGGv7ydHr8/c9eA1e/tjekqQS8s/xP+192qCXKX9cbDmKTncMuO NKSA62ovrvONZHjYE4FJyyHtGUB+bCBgRGxnl/X51SiGwSGeuBwsZ0uAkQBcrumtMVOuzRCG iVqSBalxEWfBS3r2vVv8JWlhOlDjmLG86WM9unprQd7DhdbAn4/fH58gqq7l8GoctdXkgi1t 56aa0uTajffK3BJOhpxENu3gWEHCSO3FrL42wg1IIR5754HLAzLpjZ3f53VW6Iqm+f0DXDHj V720nTJhTlA7BFLOAcEAR5eq+32Tw66C3nrO4PWoqsC1D63qubFSja/ZubuodfOQ69FUqJk7 Alw0MrGywcJkct+DRlctb4Qjqr5Vc6e64IICnIiuZSrKCy11Vwvl5dbwRChUkV6+vz6+2cpH siPLrK/vc77FCUd0719/SwgTlX6IdNx1je09RyRmQk+ghUfQ6JM5yTMRf6DGDzSSQ78sUojc 9Uxb2+CngVq0Ic+bqUMKIIA5L3cxhtyPqsE4FJqY88LBYsQvyySbXC0/jdlRD4OB40pDmB90 cF73913mcNippzTjQ5hs1WGKpgi7b5zz0W/gV+rHTQ5MTS9dQ/tWHn3n2qMYeBjqa93J1jNT ruDHheC8VXOoywntCwN3DkoKZy8/CP9bcSRgTEUjBSjzGO+4CpKPPV87nKaTDANnJ82IWxlx CFXU6jotvMzpMnvw1Wlc+XChSGt4q/ZVRyt45ChqPeQ9Fe59ZocrqwTJkQwsIC1/HyqLUPgU D5NwkDbyVpdrQRiqg/WdOwgaWaAPt6IccFxpDwctr/3Gt093TApqCtXT40LintCZSCKWaQs1 QwStiIxYIOnwSl8ZBr5M8nL7fGaNf8xPJTwdQgGUW4Gc/evwoupxNThnNbhu+CUKb/b8AcT4 hITYHKmaUj07qWhzvrSjCV5G8A/Vt9O9nWgYg+Ch0x07mZjrKsdkM94ZWf+iTh2FcuyTIXXZ O+nYBCRWLy/533Kj12lqSANJQhZzQHzs8izP79DFP687h/zAoctIiFEehW7N4ROFFeBiMLcH 5fgEYxQiOZez2CDaCtza3fw5C7e21DCnurKTqb6xrkiIGkxcaN0e+0J7nb/QHBPwaNv0pfQG r8iMDXfqg8uc/PMXesbRqarre0s3ZY6UYQnl6jwVs6s/Qyyg7ozmrjHt23YU3uKt0Qhj21aP 1S7J2LziSlts6rU6GS6S9VgknHpizLh+KEPpeZp7l/719vP129vLL1ZNKEf+5+s3tDCQaFbE 0T4F9HrMd4GHvQzPHF2epeHOxxIL6Bd+4yF5+hL3qzPjtJ7yri7QftysolpO6fNfD6Sz6C/p pKw+tns1pNNMZLWZ2xY+tpwHwSn72q4yQsgNy5nR/3z/8fODkCYi+8oPA/y1YsEj7LZ3QafA KDEt4jCyaODJQydWiWd1Hju/YJZDAHVVNe30HBp+XU3MTIR9JBtZ+BzizV+x03yKrZoSjQLP zBZMtyL0joyBhhWOJHW6c7R1av794+fLl5s/wKu+6Jib//jCeuzt75uXL3+8PD+/PN/8Lrl+ Y2esJza+/lOfOzkbP4YWG5DZ4bk6Njwuhn42MkDbfaLBMNRG+CszA9RKFZjsQvG7GO54UAbv 0m7ECZgnt31pTAc26h2lHCpquNEBqrAgspq7/MWW269MkGY8v4u58fj8+O2ne04UVQtahmdU POAMdWONORlcwDng+nbfjofzw8O1ZcKmk23M2oHJtvh1AWeomntHeFAx5jpw1ykuWnjF2p9/ ikVKVl4Zc2qAB+fCYswBPNAXh+SAMUnSEbQ9lMApo9Owf2WBFfADFtd2q+6CS7kCZRPMIYQl o8io2sqNyR1KNmRB0DFzeawEbEmupUDvXZjwTB9/wKhcHanahhPczS0/e5uZguEc/LSjISlM bHfZZ6rbS048j3BUqe91suUGR1R2nv9WM9yZK4IJQ2ATN86mlKPQcAEDB2jdbzYD9HUGKDVl InJddzq1FbPGLHE3Za5gHQDD9SQ4cHCUasj9hO0SHtG/xeZ2dTEajU5VrlMm02qcE631S4Mf 7pvPtLsePxvnrGX4dN/ff74/vb/JcWSMGvbPMN/hDba4hXRF6gGusS4jMqHXOJCzuVEsRH6m 3EolHTzBoWLs21ptJN1fxGnANpuu0+4/2J/O2diMnWQXYlI33Dy9vQov7lbUPpZPXlfgweHW OBUrEL9rRRE7Ts2KyTG7FOJ/IBTP48/377YkN3asiBAMxS4gq4wfJgm4cuU652Kj+/r4x9vL jbRoBaOzphzv2v6W2xdDRYYxox24k/z5ztrm5YbtDGwvfH6F8D9sg+Rf+/Ffru+AB7+cqjdU dhGXlFUDV1BKE1SNOCEoDOy3lTDHYVoB5cQNa7zMEhsGApHe4wwiBA0PBk97uJmxYfJDNOrE khjOVpmdaT7s4toPHUDgAhIXoF7hwAgR0Zl1ApOfhhGc6V7rCgK/hj4xOar+s+lyRrSd0yCM C2ZsEh6wd1gOyn7RiyMMrLz1xPfy5f373zdfHr99Y4Ir/5p17yF0DO6yzqja2vOWrCc+tU+i IdbO/4JeNg+GVqFWqaqdjJxso3NOzsAptmmeM5/z3BVbZHlOffn1jc04Q5gU2W/YKSptiWub rAwEG6fijRPOuoFZWUnVI81IBNQRTP6xq3KSSBfjivhk1E5096Gwa63VWSjYGJ/YF2kY+/Tu YnWB0HNwt4ApHejop6x5uI4jtjRwvO6S2Gofc2qLpuGaHFbx+jwcwwQ7BMumA32rJLJalJFT 9YFfkD/TyeK1VBo5VWhuqD2CtPwSxvSDcbgfDdN2fUxUV+77z4+s2vMYsxxEg9KIFirygOhF RYq0iCqbg4c/B6a+3WEwTXyTmgdBkpgN11VDO/Tm9O8z1saBWkakLMJsm52vNsuoHbOW7JBk emHZLnpWhNM77frjzgc5yBLt/N/+71UeyVbBTk0kDhncvrbFOnhlKQayU7caHUmIUZoF8++w aEkrhy6Ir/ThWKnNg9REreHw9vi/qpYCy0dKkadS3RUW+qA9lixkqIsXuoDECYAfpQKEYaMZ Vh4fWwL0XCJnYlRlUuVInIUOPBdgDiAF+rCsgaMpQtUaQAXixFGOOHGWIyk9bNHQWfwYGSZy OChSG4+6nl0wUUVgfTmodlkK8UrHKFCVXlWsB8G4txIO565TD8Uq1Y6KoaE8cB6+YUlhJyvy 6z6Dgzf2DjOrh/JMlTYXmnwwRrVlRJBn5vVhCIKscipaFPn5Rf0WZYJLfwirAVKMF2FmEHM2 MA4iZYCo9MRF9x10bSmaEaF2v1mXYe9w9S2rYeBLc4vYIQy1y7P/TNhXJyegv6qY4Kn47AaL 8Xruioz1k/R/YjbFbK1k1ZMhhoKywQB2K7G387DEEsMlKo2JoKYQc2NWQwf5KLdpEuDDV9WW nAGQxEhs0/UNZM2Gd4tahSWjMYgcHjyVQvi7MMYOCApLHEcpUlBegxQpKeu6nR9ODkDdXFWA hI6sYvWsqABhgmU10H2wQ3ISAmiKdvYxOx9LeEwj6Q5vsIVT6pZtMvVj6Dm8b8yl6cd0F2Iv K0Y4Uf4nk6Q0HVNBlHfDJ8RXViOiSSEKajKWZBEHqrGVQt856QlGp75HfBcQahdeGoQ9Weoc qTMx6kxQ5fBVM1gFSMkOCbmZFWM86WGjVChATUFVjp3vyHWn249rUIRrXikcsSvXGG/XIYg3 SzrkcUTwAg1d6fBxs7CMU7fV7Fx3BtzQ22UuhggLgQoRSvHiSIV+w7mRwVSFt9dMVT+fgUPs MyHxgAMJORwxJAzicMDKMpuZbBfmWId+MlAsAwYRb8COBgsHkwgyNGm8OUhO1SnyA6Rlqz3N SorSu3LCvlSxc5cljpk8YxJjaT/ljk1yZmDCVe8T1InmGtizKdkuhmUvFmX87V3niTdUR3W+ weEHUeNDdWYUDrbDIQsfAES99NQAQhzADp3SHHJohqoc6CziRrk+vpupPJEXYfuQxuKndrk5 ECGbAgApsgDzK4uYEEdhGRZsVRVC9DoWDA4FmAMzjWPn+nQUoWKixpGig1+Ue3Oo0LwLPLzc Yx6F2MFvXe1zU1ladjtFtU1WGNs7GDVAqdhopTFaX0ZPNj+coPsouCPbToaPf5pgkukKp46v pdsrEmPYLk4akgARgziwQ7tSQNvLVJcncbA5nYFjR5C504y5uOGpBk0tZMHzkc1FpHsBiLEe ZgA7cSLrEQCph9S+6XIaq2e8tdSHJEyVxbAznWctnKY/KkR4I7h4sy/ra3fAtcyX7e2aHw6q O7QFaobuzM5i3dCh5ar6ICRkS75hHIkXIa1S9d0Q7jxkK6iGOkr8AOnNmpLQiyIEgI0nRtZU CazWmo7tIkhQJVdjvd85ljLifbgEMxZs2xPrYIKMM0B2O0zuhuNjlCCV7aaSbTlICnaE27Ej OTJoGRIGUYyeGc55kXqor2WVg3jIB6eiK33sew915GMJhtOIbf6MjJ2SGDn4hZJzjFto46ES My3Z7ok7D5l5SibK7jz8VKrwEN/bWhsZR3RHsOEOvtJ3MUVXxxlLt+RZwbQPMNlhGMcBHXgD pWz3xg5KuU+SIvETrDzcoRLZ2sk4R4yfllgTJA6Xl+uCkxFvSyABBmwtZfSAYGNlzGN02o4n mjus8BcW2rHz9Mcs22ODs+AvtArLDvUCozKglaNd6CO716XKoiTKEGD0iY9kdBkTEiD0uySI 4wA5+gGQ+AXWsgClPhbdQuMg7sTbDcpZtiUGxlKzVRV1haHzREZsiBWMSHzCPLzpLOUJOTEr T6sS4TKIIwDBhinQAF7W2mGo9ppZl+oiElgGqQKppsorHgseTT2jRi5F1W6kmWGdKmx/IENu F6kkXdvUYnPUVDLp97X7nGZIiYBsMImyQ/B2lHvBtYvMBRjQYDUcXwtv5DgXGIJS5LSxMlYq hN97ciZTqWw1c/j3X1+fQH3Kae5DD4XljQBocKflOMKCA12hNkLw1Y+nz0aScIMgtLOAhTtm 9dSlmFMxLQye49QRzzJSVRhMlYmVZvhLXemaziZvClNzaiEGGDHBiPrRaCXj+wBvTbh3Q4Nn LajqFQ6ylDd1VgUk3fRhOyOYiDqDEfKJKLBofugZNKFurrZu7geT2bGSaBd5BrROYoLYtcuG Ktf8PAGVsRlmLxKsOwaqvsiAMGgOgdnXuDZOTttCN+sB6LaklkGNAvOHSFSaXVFjPCjuJbXB J55+LKrx2rNQk51NTVLPzgBeZRFiinGmiUEco0C/auHUsjkQf0/x673ygdsyoYZrLLGmhqLQ waGN+SF2lGUnM1QtQGofGQYjPKNFr0cl8jcggyZUpHTiUOZInkO1i6MJA2ioGwQtRGt9Vhlu 7xPW28ROOGALWbafwrWqS4psD64JtlbT4X7I1ecroGnO6rLCWhLqLkh3uKgk4CR2aAbK3GuK hTDi3Tmrqs3iSzewc1uoizT8XdDHN5HZS5gjf1upbaWmntUMi46dXgNgTyL8zX5hSNFnKAUm SCEY1d51FsSw05AYW1wCfMsd72p2gLT7X2WAQGxbA+Su9kkcIOO6pkFozpdFC1Ar42VKnDvI qlOp79rSl5l72545kDbh+ybBvdfwKtHQOF4ZoG9txUywZsuhM4lcFs0kO+eybwvqK3Wj0pIB qTMgoed2Mz8Xc6NV8iI1nGUteM8V0zpkIKmWoy6pca6BehdmkhbVIws4VFPJxlBbj+LByWIA LwJn7h+lGc6aXcPKA56RuN/zTS627x7ZvFbbVgNhU8YGwcqU5WOSRCGeQ1aEQYovjApTw37g UbYUJjn466LFTu82I5MHQYkLq7QtTyuYIlXbPWbIlzoSEbwRGEbQldFg8dGxkDVhEIYhhpkW 1ytSDXUaoI44NR52qPYzLGfY72K0PBxBm4DrBKFtCgheA7gODpPUBUVxhEG2WKhjYeJKlkS7 FG8xDqIPHzpPqjsuNUCy3eScBx9Aq/jpyjvF7gI1HkMqVjB5cNC3NB3XHMnqEKsXCnVJEqJ9 BxIyPpxN9U0dSdEuNSUkBTmcH0rtklvBLkniRW5IfwU0wBQXtVYuHh0WjNs2+2QVppEsbA0s i2UgtMt0UVoHB8fNg8IV0iSOtpdwRfK2sfoYmsHbVxTeNHzWo5vZYxKtjhL8yVFnCj3iaMkN Cdhk0kU1E0UfyQ0mP0DbiWNkt1FJkGc/6Cyn0+penr++KASITrf8XVe9IkL3+ewEVveJC/Gx FwgtS8UH7ccs0Ucsny4ffmhom/sPebLmvsWYFJZT1neL09svWnLKxJ/bffHRVybabX+jEsqM 2Cf6nNKNxLwrwJGU1hN9rjjddZWqcumezwUyXHEaFbciSyplLos+c0R/hBYd+zKjDxkuk8HX j23f1efjxieq45nJdS50HFnSytFesy2z0dB2XCsNrfDeZflN+3a6FhfsJoyW4F8E5ERh57ve B395eX59vHl61xwaracHni7PKL8bFcnxYwZnFIGjruPlH/AW1bEamWz/j5j7DMy5ED69fkWv 1FGvAlsPLOhSFSUPtmuSLruaYDTzFlUgWXFxmnELDnHQoVUD22HWHFXPITzfw13D5tXSMbxP EGcfoi7gOv/jJoNXiy0uaJHZgnWOnIo/gLFW3WIURnJi7Lw831Ca/w7vOrPTEuVpQcakY83R U+mSQW2m/flADNFtpSNdwumULS2qmomSgmZ13eZ6oz5+fXp9e3v8/vfqxubnX1/Zz3+xunz9 8Q6/vJIn9te313/d/Pv7+9ef7Bz8Q3FlM0+lfdFfuJukoazL3BpVsDSwwfJlNbstvz69P/Mv Pb/Mv8lvcuP3d+735M+Xt2/sB/jP+TFb1md/Pb++K6m+fX9/evmxJPzy+ktrZlGA8ZKdC/XV S5KLLN4F1uhm5DRRNUMkuYRomiEy6DnieO4RHHToAvyaROD5EASqddtMDYNdiFHrgGRW+epL QLysykmwN7FzkfmBrmcoACZ9xDF2gFnhILWTXToSD7TDxBbBwPf5/XhgB4bF0LwvhqXj1Jks U2RZZJhac6bL6/PLu5rOXG9iX5e2BbAfEx+PIbrgIR4iZcEjzBhAoLeD56v6cLKX6yS6xFFk AaxusXHdpgLuZhwvXajFTVDIIZIfA2LPoVMhOe5Iglr1zXCqGf8o1Aij+tY0uXRTQLhivdJ9 MDUftZlrdiRvidiqaT6RUMxFJbeXrxt5kP/n7Mqa20aS9F9hzMNG90PHECBBUrPRD4WDZLVw GQWQlF8QskzbitbhkOSZ9v76zawCyDqyqN59scX8EnVkZd1ZmUuPmFd+NZdatHSqoshOB0Ty bO4ISZKvCFVk16vVpTbeipWy8lKd4vbx+HI7jIaa+28J5kDVJkNJWz/cvn6zGZWg7h9hePz3 8fH49HYaRa3CdXW6mE9nARV6QueQfew8Av9TZXD3DDnA8IvHoZ4MsF8vo3BLzJNpM5ETzulT bZZFmz4lezVj3b/eHWGyejo+o388c2KwxbmcuSpcROHyiugxzlGy5j7h/zFLnV7JW0U0Xq27 X6gJGTF2Xilojiwc1JyB266UR71K+j9e354f7//nOGl3Sr6v9owt+dETW22akugozIKB9A7u W2Ge2Fahcadkg3qndjPQTxwt9Gq1WnrAjEVWaDMXJu8xNK5C8OnUk3vRhqbthYUtPBWW2MxX LkBDclKxmIKZp1gYsDzwZH1Iwmm48mFmgDMTm1tHPUZpDjl8GnmC9TqMS/+GZGBL5nOxmvpF hN2efPjhqk7gqe06mU4DjwQlFvpyl6jnytfNnrxb09iyuVfo6wSmNZ8OrVaNWMCnzsZtyL1j V17FFTwMIk+v4e1VYF3zamgDk9C7rXfIZ9OgWXu0swjSACQ4Dy/gMVRMGYyOXnWJ4Uofx16P k3QXT9bj9mOc4drn54dXdIYFM9/x4fn75On4n/MmRR8+fQlJns3L7fdv93ev1I4/bVxffwxo 57n2lIdOVnxJPflFbVaS53rcpPyKDgK/3H/98XKLV4hGCn/rAzXjv8AaYfLpx5cv6GZQK8xQ 7nVMTmnkZ/K7+Pbuz4f7r9/eJv81yZPUDklymj0A65OcCTGcb53bGZF8voa15zxsze4toUKE q9lmTV5PSYZ2N4umH3b2hzznVyHpPmlEZ/ojTiS2aRXOCzuh3WYTwl6P0TfDyDHu6z15sULM Flfrjb4OHqoWTYNrI8AQ0reH1UzviUir2gLWxpFuWcmS6xxDMHrkesbPvrzO9o0nUFkpUAaW JxbKH8GI+e+xzjzy9mOfZymdhPcY+8zC0nq1Mr1MGNCShFwrMaPai9kVhVCGRZosaYskLeFd FE6Xui/KMxani0C3LtNq0SSHpCz10e29njXyOcPQaS1cdaVmICasH7bnfyTVSWES0oIpz6Iu tN2nWW2SRPbBUUOkN2xfcD2qPRL/UC53LMoY5svyWQloJURWdJS3r6HkVIW2DUHEiL9o/ylP EoWJgT73CWtS8fssNPMfTgH7KoceTQdqwXI0VWI48EfiDq31RCZBP4ZROexKe73M4peOl1rV BB36b3XJfdoVxY1LHkQEWUlPzS4DNp2Ku0FjLnXHGxco6m4+DXorXgoALLla9nghkljNpA5J LeJQCUNKDO8AfFIiy9LWbGeThPEYTlZFRSOCVaVum3uujNV5QDsKVoaHuVM+rOHgKYjt6Bsc pcSui9dt+puc2vUJ/0QzVD1loESZPK2FxdzH7PfF3NJgr9Z2xrsFReitg8+R3LHAvGMegYRx 9sGfQb9YG3G0R/KWm+FSkB4naWisgEdmfFa/cMl1lZLELUFuq9IK9TYiOwbtfTDpWOa9U+6R 2iuPnWaXheHPI4XqsN6bCXGBwz+ReNVcCzvlOIsrygu3USK8EJpaUbV0vGUiYaTzBp2rqNrO LZXbUKJKHIJSdyPMwYiMbrAuTCsygQL7jD25DEDyERYkyzC4Kg5XuE6CIVvaopuqfmZu2mgx jySXp9YyPs1QFXUK85wMtwVfnl9g8Xs8vt7dPhwnSd2dNhHJ8+Pj85PG+vwdl9mvxCf/0s6n hrJhgCgmGkJ4iAjGqQohVHzwXC/pCXdpwakFlZGH8OYh6pST76s0nkyVkSohT9Y8dzFeHGTJ OsNd5EVRGz0lRP8gizBAG05CtXixIYnyQ176saprKUEgXLMGhlPQjarzeMnWmKXUejLQucum MqWy5KIFTeWViiRVYmAvRqhJ0V73cZvsREoVXlRrGOfqHGbt3JlRRFvc3708Hx+Od2+wo8Wl o8DdxQQfWqmjdn1HOzbU3//KLqtywDs0m1PWAZWzTY+7KOly6oIUhw+kIMkE23W9Qcto8o3h KGuMTqLmxNPpJy5BCA9T+qhGLFMklrKu71qeE4qJWLC0Fwtn5OBFFs40q2MeK2iHzfSfr6F4 3eNBAsM1loXAyv8CaBjnn9DreTC1V1cD3XrPfEbmkedt7pklop2NnBkWZjx7HZmTL7dPDNFs taAKHFnRYE9InkSL0PM+duCJ03D1Lg/sQBNPwISBJRGzKCet6EyOmVt+BRAtoYDIByyoKidi HuY+V0k6T+Qoq4fvcp2Qg2gTCSzJdkaI9gWkMSyndJpLomMqOq3kA0b2N8QOB6JTDYA3xZnp D0sD5uToIBHymf6JAW0AqDTRE0Z4cAG52iJ0Sa3CCHrBibpkYhlQigd02wHNCVnNAtKrnsYQ EjJVdFqkA0Y20qYtFu7WRs4WZVn1zfVsOqMv/k+zMoM16XRFumHQWWDZytz8JRRR46REdOMA A7gyL67NnJaXhxuVssfbwsgjitVVsMAHMINt2qX6acyDcRpVOFj3B4sV6VlB41iuCP0aALp9 JXhFaPEAXPyKVgsE1aMXGvAniaAvyZlxE2gB3iQl6E0SJEqo1Yj4E5WoL9UoCP/yArYpnw37 jxyQC3oU2YGbfGH6vBjpsJULyKkIEdqJ5rgi3rR55BwpSIRvCpYKYrc5IrTgTmiTbdC4mmDA S3LYhtY5X3PnRE5yNOth4etZWI6LXJssinA2JWZrBBbUsm4A6FYeQbqeophH1NgDG5VZ6Bw0 jAjtf+7EwGGTS24HWibC6OJCQHKYr6d0aEn7DD1zmM9bdWAZkNWRkMdIT+OBFeWl1ag0GaTm y3bNrlZLCjib5V0E6XbTGez4ZTbLLCBjRLh8xCjYihkLw6V7MISPo+XqhswasYi+Uht5pOnh 7JJM5ZNMatW6L1aR5QBXQ0if/AYDMQcjfUWMH2joGBCDFdKpwU0aRnr4Z0Q3Q/rcwx/5qriM Lk/70njzskZLlsvLHWRZXeqqwLCaOsfhZ+SdPezARI5Z+Fh3SvQLSaeb74qacSWdGDCRvvSk s6Sb9cry+TggH+XhxtWiDi+JChdiy4gYBfClW0S0v6QTBQH6gqpoybpVNCcVBqEV7RRa5wjJ MVdBF0e+mqFbXxbqB3/maYvxiZo38RaOPFM5w2dAO3JWtyY8dW0Qtlz7An6cwwe0TVZu2q2B NmyvV7fDJN06YjLn+3V1vvb9eHd/+yDL4JwmIT+bt1liZgYVSLq26lxyo4dPO5F6Pf68pNaW Qd6JSL6bkagwXVpKWoc3SJ4P4iy/5qX9SZy1VQ3l8X3EN3FWOuVNtlnT3Ng0Dr9u7AySqhHM W4uk6jassb8pWMLy/IYcvRCvmyrl19kNdUQoU5XWR1bx6jAwDcAkFQTWcnz9H0+he/nSU282 zARBxTZV2XBhNNyZ6hdqVghHolnOSpuSJbr3MUWrLMJHEINJ2mRFzBurr2zWjZXUtsrbzLix VhSr2Ia0Nu1iNfM1JRSE6ALXN5lJ6BLYgZrmLEjes7wlb4ER3PFsL6rS/Wpz00DzeV7OIQPH gKieVHlrFe0PFjeW1rR7Xm6Z02uus1JwGHMu5JwnThAXHTXNaRSprHaUdYoEQWbusDNS+/QP DwA/aiO04AkhtRPRpiviPKtZGiolNT7dXM2nPg1BfL/Nslxc0qGCQesXVSd8zVKAJjSV1RkK drPOmbDqL582bhxenjSVqNatRa7wSsbuLUWXt3zUW6OgZUttfhXS8I2ZTNXYnQmHKVaif8K8 anxzT52VIIqydb7MWpbfeOLKSgYYa9GsyJMsDCYoQ55YY1bd8IIdbCECa2p1haZKEmYJEIZx VUmDVoiutIQhrGlAvgm6oBIy2kPOy2tPdUSbMWv0AhLoGczbmVVDKE2ddxaxKbhJ2DRZVjKh zxEnkjM0i4I17R/VzZDuuVoa/VL1YH7xdWsY8kSWWWN1u4WhpbBVot02nWiV0ZAntQ5XPX0t ZmZ6Xbj+mDXWxLFnzuSy5xxfKJvEAwcNNUmYmCnjkeKI7uNNCgseu4Mqd579totJegL1RIcL 8pe1TsoHf9njtSaxWDvFAiRXkcpmxZJ4bYazGXjSbEea09ppnx43khniVeWWGxEHHd6TZZCe qlaYapvwPudtCyvnrISljSZQ7SGsScRo1ZXFCNNObw5e0iYolwHFhS0D+LP0mUxKE6MGZxgm +m2SGinaCflijMtEyhJGwCTry2w/vp53Lr3NV0DYAIO9htmwgxEcDJ+N4MKSh2M3aBSjajf9 fgsDXM49MbVHrjiXdp+iRQX2coKkhRQ1BlcCgufNtrLUaitYzMNcgBaDObv5PTTTKogAk1IJ n1/f6MDzZjMulofpFBvJU4ADqpdqQ+NDSU/jDe3K8MShhQA2Ps+GZD3fVocuDKbb2tEeGaIs WBxcYA3yRxMSB5BO3cOAqkR1uRRdMAupz0S+CoIL3zUrtlhEsG11ygIEy4vuSDX8C49EGe+v 0B6+Y8sqI/1J8nD7+uruQqXSJI68pQ0qOTkguk8LM/O2OO15Sxj2/zWR1W4rWFFlk8/H7/hU YoI2Uongk08/3iZxfo0dtBfp5PH252hJdfvw+jz5dJw8HY+fj5//e4IhyvWUtseH79I66BHd K9w/fXm29XPkpFScP95+vX/6qr280Fs9TVb6nYCk4eLPWKag84naelKvaLuz3lN0aRIqfl8R YAmzF6ytAqMiAKLHY9+QgN92ZNQmBVoe4mTPTUt9Mj+R+g1LN1nrjNcSs8ugC0cqXdok9pcK eOdDOlMJpeigrqlytxHrh9s3aP3Hyebhx3GS3/48voyaU0hNLxhoxuej4eFBajOv+qr0HALI PPcJfUo6gLRlg5TTlsOMn1EvX8fhxwiKqRHpwUoC6OwaRWALaGRQ4nOkRPL65Ykyw/UB5RlD jmdCLMnQVrKnSZNoZ6hThtJAEVaOLpMTWF7DTs9KXYjxJmGxD2yuZ0GwIDH30Eov8XY2p24N NRY5pW8z1pKp4w03nt1l+WhTTGZTw5xDb8V0rsGvR0GbPWmcWVFn1B28xrJuUw7yrMhS77ix LtYQXrMPNEDzZ6CRFyo+wj25E9aLuwrCWehJBcCI9OKtqxWDLZq9qB3rtKfpXUfS8VgQNt59 nbJLuKew17l4p67XVcxB1xNao4qkhf2WVxYF7rXf04+iEkvfhaXFtpq/z3boLqw9B6aS7Qqv TOo8nJExWDSequWLlWlap6EfEta9owEfYMTDHQs9stRJvTpENMbW9LCCQF8z2MalnuEqa2C/ zBvo/frZrs5yU8SVb7x8r1MkN3HWmM+kNPQAI2JF13a/d/Z3g5BrPOukoaLkZUbrJH6WeL47 4C67L+gP91xs46r0iFd0gfl8XG/Nlros0xi6Ol2u1hjeiR6Yh7XQacozN4DkijgruH4TOJBC a15hadd2B7fYO+Edk/NsU7VmTG9JtlcC4wyQ3CwT0xeAQmWsEv/Un/oOReXOByeE4Y7A3D7j JVEK6wbYN/pEzmF3Ge821niYO3uetmGwEd/xuEEHhf6SVnvWNLzy7TRwR2O1wxYjtsudzpof 2q4hFkn4kma99yR5A58crDQ/SrkcrCaHPTn+H0bBwTmG2ArY/sMfs8g7nI0s84V+Cy3Fxcvr HoQs3UwId+29ZZWAucW3x2/tvo5nntZ9iUzngDeEdupdxjY5rGL86nOAfyz81Hnqbz9f7+9u H9Tym+499VY7GC+rWiWaZHxnlg+Pg/qd8TyoZdtdhSBBUsvi+MZ9nzgud2eDzaZ2uOYpr1GM cS/i0E5jhyGeARuea3qlqCcBqppn9HMdl5W6idTzBYH18k46JNBhA9yXXdHH3XqNzyZDrfmO L/ffvx1fQCDnwx6z9caDkS51tnabpvfuOk+nGM5RwoGFS/+St9hdSBPBmX0+g7k4i6I4TS6k A9NZGC6t7j0Q8QmanZp8W2qf2Jh6RQrS7OQxzMp1JdTdoH0aCn+u/RqBp+D+Y060E/SiWUsH cJcN2JeJv98rFbpQqnVXJrhsuMBSoAMC4hSG0vcWw8X7D0g3lzx3yrzwObJK60IixFGWddKB PnKHhrokueqa035JFc6Soi8u9HF1PXgBp81KFJbGm9oaoSSNeCyuge/Ib9Pvs5h+Atre1LoR qvzZt0ldEDQ95JYiNm2wDALjFlQBa5wxPa7lFMc2nQkxoyNqDzlKl8irk0dA7I3tz+/H3xLl gPX7w/Gv48s/06P2ayL+c/92943yz6ISLbpDX/OZLF40C73d/v+akV1C9vB2fHm6fTtOiufP RLAwVZq07lneDge5VknLHZeeYRX+XkE9+RnjdpVnvdjz1ojjVJihbIqkj/MqoW5V0Tfp+Jbf +ACXNu7ti/Rmqhya+u8ctFSso0wkiXRrRog7Eb23QxpH3q4pjUcO3DY2Zl4tXxe9SE3ipsrT NRdbq1hG2C0gJPHScLQFpJ30qktId9eB5pF+0gpcRG4TM50OKsMX0HRW+mizhYY3RqeUZflA yKytxJbHzJaaxlG02pazyAoB2z+CYm6yiuPj88tP8XZ/9yftdHf4qCvlvho2Ol1BxtTBmIlK 74ySC1cXnXz/xn3WqRyyjT1D94npD3kbUPazlSeY0cjYRGQk2DNONRFeWOI135kiL/2kPx+9 7mdqL21YaOMZZIob3AWVuInc7nFLUW6y1BEZsLqDkPxec5ljJizdBFGaekZDqxp2/KORaEWt l2QV6MGXfJ2wq2jmfjXQfTfMkseMWanKgOG55gQxcqpQR5EMhDFchFsywVCNdESFM+6tFKIL N8OVFQztXNGIVsETw2J2gWEMjNSytqN1XrIpV0+X8CQI52JKekSVHEQMI6WZaaiCs1sNr2KJ +FJrE4axGqy02jyJrgLdy6JKy47Jd1LD6K9xlDqrvrxS/PRw//TnL8GvcvZsNrHEoSw/nj7j tO4ah0x+ORvY/Gp1nhh3+IVdqPwAIrGIGG3JrpOM+uZTtTEoBtmV25f7r1/dvjzYDtijy2hS YDlGMrAKRpBt1brFGPCUC2pRYPBsM1gdxOrihE7l5P7qvaSSuvMmwmBvsuMtdWxi8BHjwKk2 g9GHlLuU6v33t9tPD8fXyZsS7VklyuPbl3tcXk3upHe9yS/YAm+3L1+Pb7/q84wp64aVgmfl +zWVMQI85axZqV+cGRhsaw0P/NaHaOdeelDLzw/eZmGUXp6DVM9kDv+WsGwojUO/M1XqNMZ/ Japoc6ksPOlkhxoPTFlyIw9bhJwlO9rjlpN9VlAl7mU4jgL/qtmGm4GlNTaWpkNbkSOgxlm0 24TeFkJ/n2uc7yVUJQ1eYL/DFZeHtveEKMTv++ZwARTcE/jjnAGvK06bIqUY0pe2qQIo7tau IZW4KRN59nVuC7GXVG0zqz7WG0JRYPuar3ETQbfBwASDS20xDNsgq1Anre4Owxn3uQzbdD5f 6k+60AELEwnn5tF8zRp5iQn9L8t1Mvwcwd+nFrmppAQik6xWZKCnQhjB+hQaV1V7wv7xjxGE jxr0ARnnfWUaVOsIbUiucThLRz3vc1GGL7SmMm6R8a2q6XcFSTWGcdhkJW8+kMVAnhR6J8Gj cTD99AEJ0KeTyjBgwbxgP0e4tEQIRkHPmSN+13SCPGUFrFgvQuOd2m7tOWzDYIpU/A4NNsNF 4G8M92tMYQPZt3Ed4BiduVWUR6GBQTpLJNItCrP0gwnk3cvz6/OXt8n25/fjy2+7ydcfR9gv Ec5+3mMdi7FpshvjJH8g9JnQn9S1zqALy5wspevetCIKp240Bw5Ven0bjLlMP/bs7u4I273n x+Obtdtj0OmDRTil7XwG1L4CH93qmqmqnJ5uH56/St/B91/v32BtCMsAKIqb73JF+q4AIDDP sYECK2O6BJdy08szwp/uf/t8/3JUQUZ9JWuXllsNO7/3UhuCDXy/vQO2p7vj3xJHENGGBgAt 53Rx3s9CTUOyjPCfgsXPp7dvx9d7qwBXq//l7GmaE9eV3d9fQc3q3qo5b7ANBhZnYWwDHvw1 liEkG4pJmAk1ScgjpM6Z8+ufWrKNWmoxc98mRN0tWd9qtfpDF/CpqAF9lthKljqP+/Nfx9MP 0Ws//9mfPvaS59f9g6huaOmG4cTzyE/9ZmHNdD/z6c9z7k/ff/bE9IRFkYT4W/ForBtYdzPb VoCMtrJ/Oz7BDek3xtVljqtHmm6+8qtiOmV2YmG3hpS7H++vkImXtO+9ve7394/IKRlNcalg s/VIZ+LGlhK8PJyOhwfUIrbgxxQ9UfKoKsCWjBXUixNSrOAJiBxe8xMPWBX1fbL9qHJVqOPt PMpGriW4cOeV8YpkvxVOXnkmmrMtOEYDJoM+I/OEV5lxhoYSZBX4xRrS29AwcFCxueWBRiCF c2I7WkTYsKOtUZwBubKEmWvPpis91FBAF1UFPQtamjb61lUi7XHHwBu3X5MCO9sh8DL63VUi w47QoLDFBmzxV1U6um6rkmgeR6AJQNKVyQDvftKN/u7tx/5MecbXMOqCiNNIPIhb5t+yDMF/ rPUN7EY8AU4D2uRqdUNPoHYziTezoN5ankO/pHNKqp0L3YE8AqslZE65KB3yBcB8beiWeJmU qo3VDSuTvBGXy63s6Xj/o8eO76f7PRLFt+cqhe8WepCk00IRrYHcugq2GQImRZatwA22DtKC I87hjDnc9wSyV+6+74VgpQ10h0b7F6T4O+LpQfWl3YIb+52AsXpRFau50oHMm/QlnToAAhqG NxJDPXUBQVB2OZsz8vl43kMIOeqxQ0bqBHfflpPRyCwLfX1++25K5qsyY2rkd0iKa5oOE472 50LPKBdG6VcIKvVVV2K7u8uloqhC8lDmbfo3+/l23j/3ipde+Hh4/Q+cu/eHb3zwIo0xf+b8 JAeDl1diIlJomQ8O8gdrNhMrY1GcjruH++OzLR+Jl6zcpvx08T375XhKvtgK+RWplB/+T7ax FWDgBPLL++6JV81adxKvTGJws2E6D98cng4vf2tlNlkaN6rrcKWOOJWj47Z+a+iV/R4i3a5n VUzd9+NNHV4ErvHfZ87DtVZLxLOdJOcMZyjCBJBbb0tTJXdFTtlmNAQzFkwGOKB3g9EfknR8 G0reXjbYkXlq9PoLXIu3riLGAxKBXzMauB7fvAXXuR7Yr8FU9Xgy8mgZY0PCsuGwT71fNvhW bw+9AReq/45ERSYguxBqaBSMH7wkGB4sixxehbVsy1kyE1QY3MivOcNBfUv+i06ISx6DVHyV gdlnR+KqJOzGCGzRgMkSL1Vr4ybQcgpNSqF4+WlBExW0SWVQT+X+JUAWN0otFqkoCKCqFNcA SCrsWWyaBY4qLuVp18XpQd9I6y4Cp1nI56k0miEqHQUuXppR4FnC1kdZUEV9OlSnwJEujRQ7 cVGHrapquNywCAUtFQCLG0OJQ1203ISfl04fex3OQs8l386zLBgN1M2iAehd1oLpagBWenxS M4wHpBM9jpkMh05rzajmALg1h7I/ZSLu2xABfFdtBgsDD/tarJdjD/vOAdA00IVC/3/RWzdx pWNGsIOuA7xWRv2JU1EP1yCeUl2+gUjO93F64mhpV0uPUXowwvn9vpHeisAXnZN5ra4XAnrU QW7m+1qmkT/e0msFkGNqDgJi4ujlTKgXeRBqqnEVeXrielrWCel9GBCTDV7WE9gG5mVA6u9G ae7Caa/ccxJ+SqLdb7EZWXaGtA7dwegKjtZfAMwE9akEkfEgOSvQVwP5AsBxUNg+AUEmTQDy fEucwGAz8R1yCYal56pxrAAwcF0MmDhaWMt8e+eMx1u6g/NgNRqrnkIlXyEH5AIVN4Z1ILVl kTcIgWFllmwTM4eArwOsTH7BcAQ1ALXA9McOytZCSY/nLXLA+q6yQiXYcR1vbBbl9MfMIdmd NtuYaQHPGoTvMN+lfSIKCl6sM7yCHk1It6iAzDjbuMEznoPrNBwMVe+Pa373r6YF+MbTerfh 5zfacP/3jwkizGEv1kIhmsjmhvf6xNl/bQ8ee83W1F30OirJ1D/un4V9BpMxcZW8dconYbkw nLdMs9jHzAekdQZFwBAnE4ZsrLrnTIIv2JKfX31HfeRJElxzVUKCOy+Rp/SSqcn13XiCYpkY rZKuCA8PDUBIumXcGOwQsGFHJC+KV5mGvnCbF5cvZPkqN5qxpgjWdJe8yLOyzdfV6aIaAMwt K5t8hpuS9kJoFIGY41r7LI1Do6XhmpFqnnnkrD1DTHAxF+nzf9j30VE+9FRLfEiPcXrgasff cKA/SKkomt/kqOHEpeWjAkd6vQNMH9fWdweV7q+Xn0KO75Pal/x88j0XlzD29bTO3A/9iY8H hcNGQ+1uwSGUJ3tA+HqXjXzaly+gJtSZxjkCr68xD+NxnyKN2GCgsmeZ73pqm/nBOXTUkzgs ByN3iAET9bjkO2sU8FPDBU1GHTwcjhwdNvIcE+Y7yKPp1QnaPWE/vD8//2xkK4qPJ9CPEOZH 8Xoe59qCkB5Ptfh9OkZeNdkVgu6ajJ7eUIX+JYPE7v/3ff9y/7N78fwHNB+jiH0q07SV7Ukp spDa7s7H06fo8HY+Hb6+d9Fpu2GdDPWYJ0gQbSlCOv943L3t/0g52f6hlx6Pr71/8yr8p/et q+KbUkV1G5hxZrGPpxcH6TxhU5H/9jOXuLhXewrtW99/no5v98fXfe/NOPTEZb+P9yUAyeAf mr6CYwlC0YgMyH2C3+crNhii83Pu+EZaP08FTNuNZpuAuZzRJWUOynk1v60KdLnOypXXV+vQ APTrbnMIyPzBJqH0bJJ6zlniPrX+zI6W5/B+93R+VDiOFno69yppK/NyOONxmcWDgcoaSABS FAKBX59+wmlQaJMgv6cg1SrKCr4/Hx4O55/KrLmMeOZ6DsVIR4saXwYWwPVaXJAgh3pgXUcq 0y5q5qoctkzj+dLA0GGzqFdqNpaMkOwA0i4aRqPBcuvke8QZdLGf97u399P+ec/Z0HfegYS6 z4AcjQbnG4tsgNnKxMGyFAmxiNgaJGrxbFOw8Ui9CLYQ3FsdFOVeZhtfZVfzNSwTXywTJGNV Edr6UVCa8EBfYynL/IhtyE3xSperRwx0YhMHk4BeDh2pri4CGlNTOfrMZ6FN0hdEK7htk8Oa ehCbQBnUMmITT+1+AZloo7pwRhaNJECRopIw81xnrAwOAFRGhKc9NVYDT/v+EC3EeekGJW9J 0O+TIRZbhpml7qSPorAhjBpYQEAcF4tGFCFnanNy3RCUVYEkM59ZwC/O1PW4Kit+L8YRkppq WcOIp3U1VAXb6ZpviYMQaX/zjZJvq7Y9FFCKGDwvAgfFPinKmg+38omS19/tYxhLHMfDMcI4 ZEDGBquXnucg6eV2tU6YylF2IC32RgfWzsw6ZN7AoZzkC4wqj297tObDOvSV2SQAYw0wGmE5 BUsHQzIQzooNnbGrnMbrME8HfeyARcI8WoSxjrPU75OCbIka4bJS39H1GhvUHR8yPkI0L4a3 CKm5uvv+sj9LaTDBPS3HkxG+uiz7kwkpSWseH7JgrvDYCtDyWCFQFul7MOe7ljJblJUF2eK6 yOI6rjAnlIXe0MXBGJodWXzKxvW0c2ORhUP5ZmgsxAZli6yhUeHQGg2yyjwkx8RwI+QTxhoH TqtSTI2hHN2LITWSOCF4wwTcPx1ebPNAFZXkYZrkRMcrNPI9b1sVddA4RVJOPuI7ogatqVXv D1BZfHng17yXvS44aSOqN8Ia6/krPBRUq7KmKBW6GrTEQNELiX/UaXPLZoz+XNMiut7ofvJ6 PPMD/kAqUQ/dEa08GzG+xqltH+7kA/2SPlAPTwlAjkPgns4PPVo6znEOubMBZqhG1BGkfXVN 1mWqM+KWZpNdwrsM85lpVk4cQ8HMUrLMLa+zp/0bsFIkBzQt+34/o3xITbPSxUwqpPW7moBp 506ULvjGTNlkRSXzcIQkxBLEpKnEolRvQ1mZOs5QT+NqNTBsJV+mnsx4GV02tDx9cIQaFanZ JbVoGiqUFDZKDKpFPURXu0Xp9n0l410ZcN7ONwC4+BbYdnsrT9DH+cL8voCas3mGMW/SPG6p xyAibmbQ8e/DM1yP+CruPRzepHo8MZ8EWzjUD9l2AidRUIFD8Hi7Jp+Jpw7ibMtEddFfzUBp H4WZq2ZanKcN/7YlwBSnpeSK63Topf1Nd750fXm1xb+nsd7tZC6boAsg6K9jMcIvypLHwP75 FWRWlqUMUtkJadTMN70k2wo/bkVYrJC3U2X91XGmOH7J0s2k7ztY7CBg9JNYVvbV12aRRvts zQ8My8QQKJfaMECa4YyH6F2H6oeOT6+VKyFP8KWcYEASIZVyAEmPJHVMvljWUzEPy0KdiwCt C+xjUVDGFXXBaipieGATxYDlp8XV5TqL1fhSPNmbng4P30llNSCu+f1iQE5zjpwFyxgVddyd HuiSEqDn91HEk3cZ7QpzkA1sYmlN7BvTzxuY5d0/Hl7NAARgAVoFW06AmCSdXtl6yiBcQndR d8gYPPnxRF0VaaoqTknMtAozxgeDp0LsaVjiIXLkLQsJh/agds7ev74JBcVL7RtTQeyfbhpm 22WRB8LTX4O69M7iFvyXbd1xngl/fnQfqlRQDNFYoAnLMCgb53Yos3gOly4DLVkVCtXwG1A1 B4PljV4o8JTgIDijH4FxHylZwUKA9tKfhajmPGnzHMMxadm9L5b7E7jtFpv1sxR1UqaG18i6 mRF0C+9istNu4dIqB13/GkOdaZLzictno+1B3DDESab5OkoyylNQFGwas8/LQEQBVmmJ1wCi dp01skwXScm1oz1IgkFBgkWBuUIXN73zaXcveAJ9jTLVPSRPgFSnBgtSNHMuCP7xbY0R7fuS oqKVgZ1OxW9JodW1t0JEenyQE1L3TtfKes0WKe8M5ZxS4mUJFldBGvYamxcYliaZFpoEQHJx hXVFKSGKmxn/P49VL80hBFrCD2ja/iufzw5giSZWmMJ6rAPguTi/xW9qZVAhByAclBRZgOxC 4k3t0l4hOcbbzrAGsCeKLViy2QZhqpUjkCwOVxUt2uckgy2eigK0ghB0nBuBqtizWT87+J3P Gr42BXS5yhPp7pXqgM/TSGE9IaX7C+MfzqZhEC5ifIAkvNs5zmK689lANYiNQPz5fCEFyJdV UdNa1Ru1V6wUFW35BagiT5M83rKwsgSIAaKboKJt/gEpOoRoynzGXG2si1DCqItnXbVN1yBo 1HUc73d+/sMimlfSichFoNbSVKt8ywI+zLfmOGvUtrZIbMD4oNZELap4Bh5EkhmqQJ6kZnMv e45rmwN3RR7LvlCfQpllw5cIfqBk/IoVoYlJdFy8Aa5TX4ESJr2ebYuSqhS4mNgCXjOvB1cn YK53iyjoesZ5WN1qfsEReBukc4Zw0Kt4WDugOVgEzXSVpHWSg6ZuHoAzZ7JtLC9qOXjt+aoD EgnQ3CnNAp1OrFQtCRZ5whBK7PWgaKswWOBesyGDVab1rkTYG/plltXbNX2/kjhqOxWlhrUy LSCs04wN0F4vYQg0E/u0AghXOKJo4xTCMuULPihpcKuhGxv/+8c9ulXMmNhVaW0OSS3Joz+q IvsUrSNxHF5OQ0U8UUx8v29xfBzN2pXWFk4XKMV1Bfs0C+pPea19rJsQtbZuM8bz0J9ed9RK 7tasEIIWl+CcZeCNKHxSgFkev6b8+eHwdhyPh5M/nA8U4aqeIcXUvCaOpZbHoJsnmey3/fvD sfeNajaYH6KWCMBS034EGFyo1IkngNBOCByWIF9uAhUukjSqVDWlZVzl6qda3rZJ1llpJKmN UCI2QV2rYftWc75Up2oBDUjUUZGTxNmsCcirQLsYc/NkHuR1Emq55M9la2/vJWbPdt9JmPRv JC388WFagYMfO48RRFdwMzsuFruxDbuwZ+QoGVjRcsJeqev0SnXsqLAKMguKfVkFbGFBrjf2 MrMk51PFtoFlV1pf2nFf8s3gKta3Yyvio+0KAT/Y6goTaVj5KbD/4HS60ryfNSTpXdGhaZFD Szf4XbpF+FuU44H7W3R3rI5IQkymtPF6J5hO/bUSOoIPD/tvT7vz/oNBKC6mRgHYZLoB8pmp MvF8+a5tA7y6Mverwjb2nKe4Kaqltjm0SO3chvTa1dKensYbpIAhQbCEWKx+KnAoZnPcDjmB dWic7UU52aKGCDZ4fo/nRLgyUcIgLBc/sUvF9l/9BiVLnlfC8olzg4XCHAObqidla5UP8u4w o5UCQtecZ6u8KkM9vZ3jpcdB/IoK0O2ymtKKD01OO8MXxuWCnhBhghkPSAsnrIxiAQUWfH7d cK5U3Jzb0THKuImD5ba8gYON8ukmaFZlyAtTTrrEPFwFTJzEGsy4mF+g1qrLUBbRKitFkCwz d1cpuhuBprK5p+G8V0B3cmDcy4Irt8YOx/nkCpmYTEqtGAH4xU1e0lwRc+SpumRSZUszWURA tzzmduChRxuEG3mUTRomwToxCDe2qL5pRPSbv0ZErxmN6Je1Hat6mRrGsbfDp+aiRuJdyU4b LWhElJKYRuJbKz+xYCaeLc9kaOuKifokizED23fGowHG8IsXzLrt2Notjktaqek0xrAI15nW Dm2/S73yq3iXrq5Hgwd6JVqEbdBavE+XN6LBExrsGHOrw1C6fohgiItcFsl4WxGwFYZlQQjc pxrgrQWHcVpjn5gXTF7Hq4oSj3ckVRHUCVnsbZWkqfqM0GLmQUzDqzheUvVIQohARvvE6mjy VUK9wKLGkxWtV9VSekxChcJdm/xilFIPPas8CWUMDgzY5kWVBWlyJ9TFOje1ijSq2N6gF1L0 ECBt7vb37ydQZTB85jbnpZLaVvGXFQQ8a+XYLS8rQ5PzEQWyKslV4dz0UtTlSb9acfJIwCkx vBT0NQSoDttosS3490SL8QtKc96BU1cmnmbrKgnpg/vK2dii0N0+WMf8TxXFeSzdOodFeSvY ohD7lTeIrqC2M17ANMAxJUwq2NsguCclj+QcJwgb5WMX6gzQIAxFIRCdZRGnJanL1wp/Lp0X qO68WfbnBzCIejj+9fLx5+559/HpuHt4Pbx8fNt92/NyDg8fDy/n/XeYQR+/vn77ICfVcn96 2T/1Hnenh71QGLpMrn9dAmT0Di8H0OY//LNrLLTaaQtPLbwJ4ZLP8Bw1TKCEAJj3veImnRzm lnjGF7+VtlXtpKvUou0t6ixP9YXUtmZTVFJirspMhUNqLPeSsI06ncQyAAsLKaY8/Xw9H3v3 EHP8eOo97p9eVYM9SQyiceQEDYFdEx4HEQk0SdkyTMpFbNSvQ5hZ4C5AAk3SSlWhucBIQvOS 3lbcWpPAVvllWZrUHGiWABIAk5Rv/cGcKLeBmxnw0wCm7i6v4gHKoJrPHHecrVIDka9SGmh+ vhS/6CIkEeKHuhq37V/VizgPiZxkgKXy/evT4f6PH/ufvXsxcb+fdq+PP435WrHAqGNkTpo4 DAkYSVhFLKDat6rWsTscOhOjrsH7+REUY+935/1DL34RFQYXw38dzo+94O3teH8QqGh33hkt CMPMHCkCFi74sRm4/bJIb7G9SLfs5glzVEOadoHFX9SYlV1LFwHf4tbt/jAVtqsQeP7NrOPU 7L5wNjVhtTk3Q2ImxqGZN61uDFgxmxJDUfLq2CfahvgeP/pvKqyO0HZaxDmvekW7Rm1ry1iy NkZ9sXt7tHVXFpj9taCAG9mz+hfXnNb4YHT4vn87mx+rQs8lhgfA5vc25J46TYNl7FJ9LTGk JKj7Tu30o2RmTmLyU9bpm0UDAkbQJXzixin8mpt7FskFoDcDED4tIrhQuEPaDvlC4ZEWe+0y WwSOufb4kh36FHjoEGfkIvCI2rOMUr1tkTXnT6bFnMhXzyuHjOLV4G9KWQnJH4hAoOZkDmJz PXHYtia4hHw1TQjqKhyQU6u4Afev1/ocwsfwqxqlNtVRwI1CE5UquCHxZYBTvuzb8yNmRKaZ +L1W2eUiuCPDxbQjFaQsUP3LaTs7sXHHJnfFz/9SuuDTJwnVyXV8pe/qmwJ75MXwS7fKCXJ8 fgUzAMRsd10m3kGICqR31CW9QY5x5LQuCy3FuqAXV/Z/eNJpq1ztXh6Oz738/fnr/tT6ZdDc OXRzlyXbsKxIrZK2ldV03ka+IDDkDi8x1E4oMNSJCQgD+DmBkEcxaBmr90KFK2y8F+sNa1FW ybpGZuXTO4oqpzabDg3s/7XxE68F9opANSGSj35xeTp8Pe34Het0fD8fXohTF4yzqc1KwOUW ZCKa802Jv2KlIXFy7V7NLkloVMdUXi+hI/u/yo5sOW7c+J6v8GNSlbgsW9F6H/TAAzNDD0lQ PDTHC8vRThSVI63Lkrb289MHOMTRoJwHV1noHpAAG303WgTnkUVPohaU5OKori+WUIT+MwLa 4rE8L3XWUeNfGbEjsnFj6YHHwNzgEe5CnKvbWudislUDKl+oe6DcwtuvJRkL0ptgiwIe3nea QBLoUdincemXn8bob/P4G0+LkdxQeMN3I9nEpJTJjyKNMfYwTAVP+gpT8TO5fCBAxO36cCkn lFrIdQEsbT9mdY2tKd/C5tSvJdl9O2I71n3mXkBpv11V6nWRjeu9lCmddIeqUuj8I4chdit2 nCwTsBnS0uB0Q+qi7f/54dcxU+heKzJMD/Dzo5tt1n3GrLxbhOIcZ4w5QwFwfpmaZxl4mNCG N1r8myzPZ+r/+Pxw/8TlS3f/Od19e3i6t2Wd6eBhOVBbL43SRwXehz0Nu15GnpLZfuI1prWn RZ20B05JXF2fr9GIMfc2KfKrsbmZM3ankTFVdQYyt7U6+WKdjlPZlwJ1KWxtZX2eqYAGWxgM fWGHMyfQqqhz7IgB64YZrKOi29xm0uxJTuwcR8zOwgSDrGr22Yaj/q1yzKMMjH4Q587QxZWL ERpV2Vj0w+j+6pOnP9EJNo78yFEiFCBdlR7kKIKDIkV9DELS7gKVDwGpGO0A2JUjgl2BnNld Tos0NGozy6/hW7FtUue6spY+g+xEIHc0V+H4EcUS6B6lk3B3ZCErjq7K3nYt2RlPM8XiqPW4 87iTfWTNjMPS6+2POOz/Pe7t+/HMGNU/NSFukdhfwQwmbSWN9ZuhSgMA9tMJ502zLzYlmFGf DA10Xtu4PhaWr9QCpAD4KELKY5WIgP0xPMhClAXM5XzsdKnRtnmURjGE9Fn+AT7PAvVq33cK z7w0Nm7tqldrPK3E4VXndPsEff82KUe07639Tto2ObD+YwumTmcFtcgYCWEGYaZobu9YTcuh G8XHUtXrfuPBEFAlDSnqft4pwrir6Hh16bDGc1rqSmPtFCIO9TkWN+N1u0L3peNroknBcohl uHTrkj+ktTvUHYUjUxabaIax5bqjaeobizevS526fwkcoy69hKLyOPaJfRtUe4MKsTVv1RTO fVF5UTl/wx9724OKtXwtemt7u+NAh1WL2hclFMjaJaUl5GgoV422693gW3gFVxjBrNcRcXAu yvfkrhuAmxQIGv3+4+Hp5RsXrT+enu/DmC/J9C01YnY0GR7GNCkxjJhxyiO2hipBVpfn+Mwv UYyboVD99eX5AxgtKZjh0iKyQ51UxVLWGyh3qUalTrUt4ErFgZxnBf+wk682VQlmL6P7c/ae PPz39I+Xh0ejFD0T6h2P/wh3k59lLOFgDAgoHzLl1Ila0K4pC1kDsJDyXdKuZF+LhZX2clep dZ5iQVfRiNa8qikSVQ3onsPyqXkRqxY2l+pQrj9f/PrRpdgGeBmWklaRPGWV5DQxYMkJ0gqL uzvMN+y9vLzp9DVAoGAQA0pZ1I62yKvuVEYZEVXRVUmfOfkXPoyWgeVtUjYAT8f8kPMbrd7f k+r8s3TxF7v9lDmh+elfr/fUZ7B4en758Yo32lkUVCVo54AmT4Xu4eA5qs0f6/rDnxcSFnfp 83fJKeKZeP+Qdokpg8Md5mzNOQcZoVKGCv0qKYt1XbFrM2iitbhg98U4szc8F1jlEBhQJnB/ nte2ligvDKQzXp8dyRHgmRGR5JOcao7T6F0t8j4CNrrotF+U5ULGWpvqwvgzZuSjauW2P/P7 YjVhlGRbnSd9MrqCkUE6/aI4pOdNagCivBERV45e48LovqmFh2BS+psPaLOB2EF8GjiPqDKY Oug3JzQ8bRIu58PSlUM6odoJ2zhM3k5bG7tVE51WqiqBK4SvN0EWPiHntwwo9SSFCThubnAU WLITA/YmuRXvBeDDQu2QKAcm/J1hY6gkipcqJaSFov6bdHZemwfAMKer1WUZcRGGBh5RbzYf 6/ySDNADlkNKu8Nw4v7Kn472DL6sNxk51C5HVi4a6poYnXhe1ZyxhmlvBF3KHpqZkCePNnxT CUeBEemd/v3789/f4f3Or99ZXmy+Pt3bqhjwigyzl7Ru7LIVexhL+AfLL8xAPHqwd9cf7K/e A/2PmwFYS590Ml3ubkAWgkTM/Qaf55sFll6cswlB/v32ikLP5scOTXt18Tzo6kg0Nh27OcFK mNvdZlz4VqnG48OG5IFZVU2Yp4IrsaTSX5+/PzxhIgUs8vH15fTnCf5zerl7//793+alUAE0 zUvtN4Uyk6bVt0tlzjQDrtFnoC26xsGktEMChormppruSZfRdzuGABfTuybpN+GetLtOVRID YDC9o3fAqQRGNeFcBhCdDEx4VN67UqnGf1WzTRy9MtKnc5859rDBWH3iirR5kZMZ+GjZRv/H p3VMs751iq9JQ4R9AHMYA7pAr+yvEvg+C5oFtm8wQHiDfOhUQI58yL6xsvTb15ev71BLukNP bGBZoFdXIHQcXhI8su3EQKpTL0ByizgsH0dSLTJNF0UGepXDLCLr8J+agSkEamPhXQzMEeBs kJiJTA6oMOA1W8FlWgiwfyKQKaKgTCSr48xEP154kyBpyIYNQNWNUOUz3+PmLMU7rTfGzGhn A8M1WekUgDKLIRDRPwvvvtF9U7JyQTWNdKWVdZBgtM4OvbZOYE2XeMKiWk/Mr4aaLaVl6LpN mo2MMxnsK+88CcBxV/QbdKn4mpYBV6ThAQL67z0UrBWnT4aYoELXgbq2wqj7wRvEhfO0liuP Hpa5XJacMH5DR2ptQfiO/Ylbjt+Ib40LtiXAn7ycEcSwrvC8l/Oh1LpHap1+IxKn9zFl7wlp mwsIRoSi+4w7e8hZ1+1Np1ern5ho8WVIL1hA2OyAmgUEZ58m2vCqD/A3Y1eD8rvR0lHi36bA 5eEbgiRfYSMrR6dwYIrS1CXb0ICTusY7fbEvKP3OTU8ycy2sNS23FPikdksx/jPA01IlfJmJ jZgD5zdlmUjN8bpuMGBoru8NN89Qf1FHhd18Fucgn8Rz56MlBQOnhyUlubNxL+13mb5xnwBj bwK+PnNm6ylvIltEniu8hSQiLrpDDRyLNwJOcSBxugT73IjFoZOvBT4pXq9WmApb1xXI5SsG J5CKz5g2IIlF2hF4+VWZrLuQfXBeQY8FsRYvS9rSxHO3tsbtPcT2LPen5xfUqVD/z37/4/Tj 6/3JKh0aPKtzvj1L3HMGqz1tWWzDJ9UEnbt0ofYX9uTZz6lVTxkJEqrMF/mSlGmupa+1zbSd g82GLhiEMGy2vXGNWABIJA8Ch7g1rJKOHWejnX9WbvNedoySDUqR/E5HbuoilCg0nVRb0pYX zkuKEasFuB1Oi2I54a+F88YenCic7Yary+WoOC18o/ZI2As7wwEVDjpJR3PC6rLmYN/LwOY/ AHot3a1FYJMP8egMmqCOPxUMA32WcpYdYQxDsQDlGGIcjjcorYClxDFaDMD36A1b2M8kkttL 0CKXElOZSLeVtw+TS8UdpYxDKpPzdq0J9hGzWDaafHe39nZSngds56KYoSlWRVuBJae8mc1N Q+4lHDDyFs/ilJplHF4kiZE4sVGlHhU6ui+2rXQeEA7IggzUnkUapwyaSOxomiSKALBorHGR 9weVchx6/B9aCYl8uRoCAA== --xHFwDpU9dbj6ez1V--