From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,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 5AD07C4338F for ; Tue, 17 Aug 2021 22:11:05 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 3C13960720 for ; Tue, 17 Aug 2021 22:11:05 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S234290AbhHQWLi (ORCPT ); Tue, 17 Aug 2021 18:11:38 -0400 Received: from mga12.intel.com ([192.55.52.136]:52188 "EHLO mga12.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S232976AbhHQWLh (ORCPT ); Tue, 17 Aug 2021 18:11:37 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10079"; a="195788603" X-IronPort-AV: E=Sophos;i="5.84,330,1620716400"; d="gz'50?scan'50,208,50";a="195788603" Received: from fmsmga002.fm.intel.com ([10.253.24.26]) by fmsmga106.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 17 Aug 2021 15:11:03 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.84,330,1620716400"; d="gz'50?scan'50,208,50";a="531248588" Received: from lkp-server01.sh.intel.com (HELO d053b881505b) ([10.239.97.150]) by fmsmga002.fm.intel.com with ESMTP; 17 Aug 2021 15:10:59 -0700 Received: from kbuild by d053b881505b with local (Exim 4.92) (envelope-from ) id 1mG7IR-000SFm-46; Tue, 17 Aug 2021 22:10:59 +0000 Date: Wed, 18 Aug 2021 06:10:02 +0800 From: kernel test robot To: SelvaKumar S , linux-nvme@lists.infradead.org, linux-block@vger.kernel.org Cc: clang-built-linux@googlegroups.com, kbuild-all@lists.01.org, linux-api@vger.kernel.org, linux-scsi@vger.kernel.org, linux-fsdevel@vger.kernel.org, dm-devel@redhat.com, kbusch@kernel.org, axboe@kernel.dk, damien.lemoal@wdc.com, asml.silence@gmail.com Subject: Re: [PATCH 5/7] block: add emulation for simple copy Message-ID: <202108180621.kWOjpDGz-lkp@intel.com> References: <20210817101423.12367-6-selvakuma.s1@samsung.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="HlL+5n6rz5pIUxbD" Content-Disposition: inline In-Reply-To: <20210817101423.12367-6-selvakuma.s1@samsung.com> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-api@vger.kernel.org --HlL+5n6rz5pIUxbD Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi SelvaKumar, Thank you for the patch! Perhaps something to improve: [auto build test WARNING on block/for-next] [also build test WARNING on dm/for-next next-20210817] [cannot apply to linus/master linux-nvme/for-next v5.14-rc6] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/SelvaKumar-S/block-make-bio_map_kern-non-static/20210817-193111 base: https://git.kernel.org/pub/scm/linux/kernel/git/axboe/linux-block.git for-next config: hexagon-randconfig-r013-20210816 (attached as .config) compiler: clang version 12.0.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/c307f1051a72122d636502c6885df8b2b25ed697 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review SelvaKumar-S/block-make-bio_map_kern-non-static/20210817-193111 git checkout c307f1051a72122d636502c6885df8b2b25ed697 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross ARCH=hexagon If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): block/blk-lib.c:197:5: warning: no previous prototype for function 'blk_copy_offload_submit_bio' [-Wmissing-prototypes] int blk_copy_offload_submit_bio(struct block_device *bdev, ^ block/blk-lib.c:197:1: note: declare 'static' if the function is not intended to be used outside of this translation unit int blk_copy_offload_submit_bio(struct block_device *bdev, ^ static block/blk-lib.c:250:5: warning: no previous prototype for function 'blk_copy_offload_scc' [-Wmissing-prototypes] int blk_copy_offload_scc(struct block_device *src_bdev, int nr_srcs, ^ block/blk-lib.c:250:1: note: declare 'static' if the function is not intended to be used outside of this translation unit int blk_copy_offload_scc(struct block_device *src_bdev, int nr_srcs, ^ static >> block/blk-lib.c:336:5: warning: no previous prototype for function 'blk_submit_rw_buf' [-Wmissing-prototypes] int blk_submit_rw_buf(struct block_device *bdev, void *buf, sector_t buf_len, ^ block/blk-lib.c:336:1: note: declare 'static' if the function is not intended to be used outside of this translation unit int blk_submit_rw_buf(struct block_device *bdev, void *buf, sector_t buf_len, ^ static 3 warnings generated. vim +/blk_submit_rw_buf +336 block/blk-lib.c 335 > 336 int blk_submit_rw_buf(struct block_device *bdev, void *buf, sector_t buf_len, 337 sector_t sector, unsigned int op, gfp_t gfp_mask) 338 { 339 struct request_queue *q = bdev_get_queue(bdev); 340 struct bio *bio, *parent = NULL; 341 sector_t max_hw_len = min_t(unsigned int, queue_max_hw_sectors(q), 342 queue_max_segments(q) << (PAGE_SHIFT - SECTOR_SHIFT)); 343 sector_t len, remaining; 344 int ret; 345 346 for (remaining = buf_len; remaining > 0; remaining -= len) { 347 len = min_t(int, max_hw_len, remaining); 348 retry: 349 bio = bio_map_kern(q, buf, len << SECTOR_SHIFT, gfp_mask); 350 if (IS_ERR(bio)) { 351 len >>= 1; 352 if (len) 353 goto retry; 354 return PTR_ERR(bio); 355 } 356 357 bio->bi_iter.bi_sector = sector; 358 bio->bi_opf = op; 359 bio_set_dev(bio, bdev); 360 bio->bi_end_io = NULL; 361 bio->bi_private = NULL; 362 363 if (parent) { 364 bio_chain(parent, bio); 365 submit_bio(parent); 366 } 367 parent = bio; 368 sector += len; 369 } 370 ret = submit_bio_wait(bio); 371 bio_put(bio); 372 373 return ret; 374 } 375 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --HlL+5n6rz5pIUxbD Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICDQrHGEAAy5jb25maWcAnDxdj9u2su/9FUIKXLTASWN7P7LBRR4oirJYS6JCUrZ3XwTH 6yRGd+09trdt/v0dkpJFSpQT3AMUWc8Mh8PhcL5InV9/+TVAr6f98+q0Xa+enr4HXze7zWF1 2jwGX7ZPm/8NIhbkTAYkovIPIE63u9d/333b/Lv6ut8FN3+Mr/8YvT2sb4LZ5rDbPAV4v/uy /foKHLb73S+//oJZHtNphXE1J1xQlleSLOXHN+un1e5r8PfmcAS6YDz5Y/TH6E1DPW3JP44s FlRUOEX59OP3M1D9PNOOJyP4X4NDQg1I03nW0gPMT5xG/RkBphlE7fjUonMZgHgJcEciq6ZM MktEF1GxUhalbPGSsVRUoiwKxmXFScq9Y2me0pxYKJYLyUssGRctlPJP1YLxGUBA+b8GU72b T8Fxc3p9abcj5GxG8gp2Q2SFNTqnsiL5vEIclkozKj9eTdoJs4KmBPZPWNKnDKO00cib8w6G JQVNCZRKCxiRGJWp1NN4wAkTMkcZ+fjmt91+t/n9TCAWyBJS3Is5LXAPoP7FMm3hCyRxUn0q SWmrjTMhqoxkjN9XSEqEkxZZCpLSsNEd6DI4vn4+fj+eNs+t7qYkJ5xireqCs9BibqNEwhZ+ DM3/JFgqfXnROKGFu6ERyxDNXZigmY+oSijhiOPk3s88ImE5jZXB/Bpsdo/B/ktnmd1BGDZ4 RuYkl6LP0UIqk0IRRrZtSJqRalYqo6qNRutVbp/h2PtUKymegVES0J3FJnmoCpiORRRruWtw zhSGRikJtsdgtz8pI++gbUzDjU4TOGVCS8cdTfQEO1tzETfCw58+yQGs7Q+lqS2jApd5wen8 bOUsjl1568ldxg3fghOSFRJWo8++FgEX5Tu5Ov4VnEDeYAXDj6fV6Ris1uv96+603X3taBQG VAhjVuaS2s4zFJGyYEzgRABeOpJ3cNX8yqPMQtCWHfw4rzKiAoUpiWz1/oTc51MKElPBUlQf E71ujstA+Iwmv68AZ0sPPyuyBKuRHqGFIbaHd0BIzITmURu6B9UDlRHxwSVHmJzFqzXhruR8 imfmD3shDUzvhdfO6SwhKAJLtrFaX2L9bfP4+rQ5BF82q9PrYXPU4FoGD/as/SlnZSFsOcBh 4ql3/jCd1QM8qjaISuCEWEE0RpRXXgyOwZGgPFrQSCbOhkp7wPBMBY0cuWswjzI0PCiGQ/ZA uGdcROYUk+GRYKfdg1Nj1HEeHJZRgb2zgXP2jFJBURRgR5YLLsHl5s5SVQjMhWc4RDVuaBtb olFnLCgVzwpGc5WACEgpfGvWqq9QKZkW1wnAsG8RAWeFkbT3s4up5pMWCakOssKUMiTQt84O uMVD/0YZ8BGs5JiozKG1i6iaPlCf6QEmBIw9X1SlDxlyAMuHDp51fl87vx+EjBwvyZiszN++ 3cYVKyDM0AdSxYyrKAb/ZCjHxFF+h0zAHx5ukE8xXiQoh8SG546OnbTH+L32dwb+mCobsIZM iczAPflCltmyGuERIwYJIOZa1sQEXdrR9OyxwJxmHg5g5Ja0aQwK5Ba/EAnQQ+lKFZdQNnh4 kYJ1xKfTHKWxz0VoEWNn/3Tu4hK3nBJwel4MoszvillVwqJ9poCiOYVl1WrtutYQcQ55m2fc TFHfZ9bhbSCV2bcuVGtPnSxJ546VKQvQsdmrmxnWdUCrmCwkUeT1tAmaE23KVTctLPB4dN1E 67oeLDaHL/vD82q33gTk780O4j2CAIRVxIdkyyQ09fCWpzdD+kmOLcN5ZthVOvXphMhml9My NI7XOZJQ6yAJOe3MbxopCgd4ObaYMj8ZCmHX+ZQ06ZI7CLAqIqVUgDeGw8b8VugSJohHkKz4 NkwkZRxD4VYgmBHsBCo28PCOA5EkqyIkkaptaUxxk3dZh5nFNPXbtk5xdPBwsmm39NQbrZsH 3k5BAFsaJKar0KZ2CVmiqV0n1YCqSO6FyqQFsRxdDFECVqkEsZ2dqlEgAjUVtuV6EE/vazdl ucvMzuF09gYVUpyiqeizOBdCosz60GRBoNiwyAWUmzPDc5CVsUStrmy1/rbdbUCDT5u1209p FAGGaqugAasK8NynaCv4LNI9BDuAQv3vyzi4Sm3Ex/H5aCvbUYGpup45Nt4ixrez0GuoLcnt 9Q9JJjdDbKDYG49GQ6jJzSDqyh3lsBvZZebHsdXPMdlOwlUFZZt1f1OcRsvqAOgTYCCjfvu4 eYFR4KKC/YsiPbYbCJZbxZbv1F5Vb5u2j4SxWd82YLN0wVvJhEPSb7W11MCrSUh1fVnZ/RnJ muKxMXAWlSnUvxAQdPRVwcLy4VOpCrcqBc8Jccrp/oBHNHOoSNqZHMrtula1rUOdPdsH+zyw Hr5AQNLLcIxmMZu//bw6bh6Dv4zneDnsv2yfnDpXEVUzwnOSOj7o0tiuo/rB1p3TQAkpFWQj djauo67IVEgeuXpWCUmlsz7Z2wInCzDUQAnOIWXIn5PUVGV+iaI+9z5dNzJx3HRjnSyiFdkH M8J5hFa4TrKody7a69/g2r9uTsFpHxy3X3fBYfPf1+0BduR5r+rPY/DP9vQtOK4P25fT8Z0i eas6z3ZmYM0jEjS+pJqaZjK5vrD8mubmdmAxgLy6u/6JaW7Gk8vTJEgkH98cv61gsjcdvDpS XPVX6vPZneOM71Y4g4TLh58iU1XMsNgqQ1ioElVAuG9rz4pmKmAJxzJ0/xO8NxTrb94dP293 72BT4Yh93rzpuhsJ3gEMm83syjFUDsItAQUWFHzSp9JpMzfFYSimXqBp2/YqSUmmnEpvkVmj Kjke9dEPsCNuoQeIRSi96jWDIG6DQ/eVO2pREEpYgdIuS9PUr0iO+X2hcq7eGSpWh9NWZ0jy +8vGzZcRBCepD3E0V0Wld1NFxERLamU/MXXAZ3fYndFeR/apmlMYwzpbWCUsjQh3ewCmic7a TpMV/oARZSbERhDJ3KsNCzm7DyGXez73AmpwGH8CYNvCdiY5BxaRj62GSV4rWxQ01x7Utry2 BaSlJv9u1q+n1eenjb4FC3TBcXK0H9I8zqSKoH6jMGiBOS0GzMZQqF6Qr3cANXFU1kVZvcwh qUyyuHneH75DerJbfd08e3MOSGIlVJtWPlqkEM0LqbdQJ3zX5z0wNySh8gZuKVCDTEaAu0Zr pwudSw6d5HGivIjThs7olPcKjpnIPGyb9nKWIdVFU5Yf8Y/Xow+358yVgHlAJalbyDNrrTgl cEYQmI/TV+AMspIF8vtX7HYNz/CHgjFfb+RBpwDM6hc3EJX6O5mRTuO0RlS+N/NXVrAOtQw1 1kkWpmWhb1S8ZfKwIViXI0T2o/Xm7y2U1NFh+3e3MMcYqsveAJ03bdf1iICdza3tOZjULyFp 4e1ugKuVWRE7a2tgEDggYfSVsxJqYpR2Yib4HT1XTHkG2SMxN5A9mePt4fmf1WETPO1Xj5uD dTYWOuuync0ZpPcJnE4Z21022LfzbNZtZjtK913N2i1H40NXMRhJiOpCo0fZBG7vdndXdPZ+ OoyrYGa5krOOVbSKOJ27Xe8aTuYwm9fwDYEyvXo0nOeMzX3tyiKrPkHkca7/mqpajUfiPscN F3OPetZ8AyXe4eeiG46GadBbSQkn08y+LTa/KzrBLfsaJoqM9gizzA5uzWj+qdfZ6Bu+uR98 PQaP+iQ5JwHxrM45VO+lSv0tnVCOK1T4y1+NW1Iv7hNYSEVC6k1GEwqWa6dtBmA1vZobSEv0 s65z4XqeXN2eS5XRcIp8PlBTCMrjmkTHaRtXhsvh0Zm0qlr4obdeAI9OMvSyOhzdhAJoEX+v Uxphz6kQIc5ur5ZLg/SnyEBVt0d+QMXiHxAAVp1smoHTkMh/aWbRSb4cJIEKgxci7U9o0cDZ 1rcQzcI9qIhCUiZ1ONdZz9vxIANIjOoOIelshEum2g8sT+/9iWOzO3rTSvgzyOpaT3Vq5WG1 Oz6Ztl+6+t7bRkg04Vi71bEGg+wDSjBJKGeO/5Q+A8sB3GpJ/aq49U6DungeR5UBtA0zEUe+ hE1kXUptLawYtpTBvKM2D5ObQ+TJkJBuADUX4ih7x1n2Ln5aHb8F62/bl+DxHL1tw46pu5d/ kojgztsVBQfP2n3SUo9XJYa+pWL2RWKDzFn9RMc9T4CB6jC8l+TyUhVh+rOEU6Janvx+wBKU uw5RDtWaukKuxq6wHezkIva6v1A69sAm3YUz6eupnukhDKTqDdxzT8dZ1LlfbDCQ8/jurxt0 KWnaHQbGMeQxWOauAoUCUie7oLpgWXVn+uVlu/vaAHX3XlOt1hA9uuYH6QssWKkXSq9px35U K19F7M7BqcF133H4lNRkzF+F2STTgjJdLwyfR3wzGeFo2P4gbdY0gwRS3NwM9Ki1KFCAdfbF 6itfVql50rF5+vJ2vd+dVtvd5jEAnnXE9h98URDEwTN1jr9IQYi+wnuS2UdDRsMGpb3vxIRu U0psj3+9Zbu3WMnfqyuskRHD06v2IIQ4Me8aq+zj+LoPlVCftg9YfqgLLUsO1YI7qYI0d87u uc2Jwg0qgaNF1SUw7QKMQaqv+lrg9eVlfzh5ZgQidxsaKPi8KkGQeObTrkQeEthOX/jpUoc4 cVoHHgkbnNaQuZ8r1PH4H/PvJChwFjybavKxXxWqGc0Anzn/mJUteRl2TBQA1SLV9xxC9Zac Gr8hCElYv1KdjFy5FDaGoJmhIU+sKKZpCUlz9yBozhdyjeQeKjaTUbe3TGGGwX3f3vi6ziy2 SZl6EUhlv3xv8ZCBVZEMfRkfYGcs/LNVliIHDRMhHFhTsbQQqNJ4iu69c0KuoboyA81LSMb6 HdK8BCHhR3t4cWQCS9sl8XuMhkMKuZF19C2o7uzo+6KPd128bpSyeqxxNjyEk789qr7YY/B5 s169HjeBei+n+rHgRanqdhgh1JXd5tF6tllzVf6wt0QA1lKMb304dV/p2KXWQFXMJI7mUUcx DVh1EWL1UubOajM5BAvdpPIoznRetdJrP5vPMxKIs8dp2zsAr2Kfm9AYiTiUJrbdW2C9A5dH Ams7WXCkMOnB9ri2quCmBo5uJjfLKiqYlftYwLpIb5sNZZbdK0v2P7bB4sPVRFyP/NdBqtOZ QrLuUwLJccpEyYmqQ5v+gVtMY0ZzTNw7LZdCuRde+NijIhIf7kYTlDqFKBXp5MNo5HtGa1CT UasWSMgE4wISinQCKYVTgNSoMBm/f++72W4ItBwfRsuWa5Lh26ubiaNkMb69m3iXKfznd6ne gUAJH8XEfcQ46foQExsJHMXMiovtGyONgZ2a+K/aanxKpgj70v0an6Hl7d37G3tRNebDFV7e XmINaX519yEpiPC+LTNEhIxHo2vb4DtLMo/aN/+ujgHdHU+H12f9KOn4baVuOU+q2lV0wZOK vuCo1tsX9af9GPf/MVoPR0+nzWEVxMUUBV+aRuDj/p+dagbWF6zBb/WNK0wwwb87XakUykqk qovCb+kEJ/6nburZq//dfTEvUE6xNylw/IJJaLGgTdrWS530VWDGrEYERzRSX23Yn7woKvdX FdmvPDWkDgeN49TT1vMFp+8voCRQ7V//CU6rl81/Ahy9hQ3+vR8nhP1WOeEG5rmmFO5j4obS +0i0QULC9uzIfHZTHbjOhVHuXgloTMqm085NgksgMMpN57V3TrVKZGNux84uiILWendlEerr pP5+aHhKQ/jHg1Af+tQfHnXE44Xh5rWeroS9xS/0oxWfR9RGkXStJKl4hHBnRQBNCsigHZdb I0jmf4Pf4FFaomHRO2Z+DhcS2XPVr/BCpp7ncM785aqi0s8xevuIoSI67J/UTah5WbHb796K OA52qxMk3sFWvZL8slo7DyyE4ocSTHWJqp6r+GdVFDTzNyw1EpO5/8pMYz8xTv3RXAswJZD4 UV9EBSQs4Xx6YTXr7jLXr8fT/jnQD/2tJVocwsz4BcMDIH5GmqynnGgxsPUKqb4pUo2jYYps PozjGPV7e8XPy1fozeNIwNnGcZ8TZW/3u6fvXW49FnRZXC+XHRYuic86nLvAL6unp8+r9V/B u+Bp83W1/u5pTER9f5lFThUGhSUk7ch3ZZhFOghYqVINGfchfaLrm9vORPp1vHrA4p9LXzff 2x2K7g2ygfS/3egS1L5cDH7lUdOZezFOphTyS+TeoDfqijJ9vSmpF+fc6GWD82kmsX3b1RDX 7fQM5WhKuH7E1+lNdCj1u1Z9ke2/x1ZTUfVAkApYzrMFLtQzNCHVzW1kHGGLK9UHrrQgkQPV BaADETkq3C8GASgTqnvZc6qeuSnxHSZ6F5+dBRn1i+yTfwELTiVpdr8Fk1A4nCGfcmfSF9U2 JKPKqztMlGk6NA/EvctQwy4Yqt4O9TGNzSMqhewsUX1K47/Xzeq7ej/zOEUzct8RSD0Vl768 XG3Jgkr7w1oAQW5idCgccPtGy1l/9/1VXXjizpdJ5okRISQYX324Dn6LIc1dwH+/++qNmHKy oJx4I/RFJmaa3cvrqZ+rtvVdXpT98idZHR51Vk7fsaDJrKxajrvfktTwKcr0O5lWKQ2kysXN zZ0Hnjolim/a81J9CzFSQdGxWkPw7BfvUjr7P/dZSpnT5Ye7qpD31h6b8m0QWHdYJjfnLkoa UYH1Z2bq+cM5XkN4WT31o4m5STZv+bHtK2vE3aRbPZ/B9ndp9dWWP0hbQ8a3UI1DgoYA1PtO xUMfK/v2dRIdOZxyxULkHAotda177cNy9T1vRs4kXgHIEpxr50MeLyEShXo6NVfcfiTvwnlu 6aLsHoYlq5zc3S2dhN/Csmzg0s8mSgs8vlv6c0+bLpO3N+/f/5AMjLVI/B9d2WT6ycaQAYU4 ez95729A1XTqucBQ0pRDZq74AEQbt65GPZ6lZoWyUGVgo7H/gqmhUo2vSwQZEe6TvS4BTgvx fjy+qGmBMlEOVZqGRGvuEsFQIdGiz8d6eJOUuaYQVXpm1yDaQzTuryKB0s3/pKamSISyu6vJ 0tcgavTlfL5oAXWlzlLiMftMDHzUZdBzeTd0j9jYlf9qo1kYjc3nfz7wBbFScGpDFVrNAuN8 eWlmPL6l4v1y6TkzZ5zq9F40HZqFBGrz1PsZsqGp3/T09r3uaf0p0VRtu0eMmqLr6HpbtBQQ hS56w7oVWgjNzKNPl6BR/MVZCzH5oWiIe1+gGGQsYB+LAYFapE+YrgnnZKm+y4nolGKIxtzD sE/0M6vU7/8urEEUPPIZkMyuBnrVtfbmUJX8UH1scdFBguFdnIOmIYH0pCpF9zvg8820k6t0 1pZhyVP9GqFnu7np7EXI/v49r5IodS5G9N2b9ObeyRy37zpd5vpLidK5kgAew59p19dNHmdB i4xW5jPwge6UySVmWBjacKBvlhcQQMEd/JCwZhjKy2TJwvPBbFNVkLnz9l1i+K/oAtT/wxSz O6411NFaTQhODKrRG98VjE2iA/LQeAqQnHgDnE2Wl3Mm7dJZIb2M57AmVfcufdbRsBTy6uqh mFz3lnnGuA9mwY2l9/9H2ZV1yYkj67/ix3sf+g475JwzDySQmXQhwEBmUv3Cqbarp33Gdvl4 mXH/+4mQIFMSIVH3wUvq+9C+REihENqMZlUqHzQv4euQ5dB7cf2yUizuuRYtNg0d6KvcoYKw el6rebBmrI4IlGxiTe0bGDxQq9K2Bm8nbkakdGIM5bemL0RNIcrO43LGzH58/P7hy8fnn1AC zAc3bKEyA1PzXlgaQdxVVdTHQs0fRLqMfSUrIhz+pg87Z0Y1ZIHvROYMT22W7sLAXScqgJ9r oCuOVGZYNWZtlZMTnLU65Phn83ZU5tT2SKtjsy+HpX4xkpvKinbIlH6N8ZVjeMo9um9wbzpv fkcr5tmG6n8+vXz7/vGvN8+ffn9+//75/Zu/zaxfQPJG46r/1RMQsoGxDcQ8ZIaHHa0McHAc S3PMIM54iR/acJj7jE6AZsZDU1N2ghzuMtYPe72pMxys2CGN8ebppawNUjLHC/S5we9cWA8P OHcREoyMghUXeonn6PhYN31oKKK6pi4h0+J07lduBK3PAbh3D2JvbljKBKU3F79ktBYkMBiy rUnY5Yym9Q06LcK//hbECa0HIPxQsNUQlWDQXDz6TIIPcqMeyFHQoi0ZY0Mceea+zi5RMNo+ H+mtE77WCaHA0MYNLs+93ouNGwgcNIh7iMGsuN1rWwZDxxx/W5sL2o7mIS8MTSwjqytLSkbm 0IM/6pXQ+5kXGDYHOH6aGEy6pMjP8ZINRbaKlRalBQTi+IE23rjj9FYMxx/rt+c0s4w8vocw 7Vtmrn1qH4ckTPS5FlLwMnw6lAadBRlXZq4GoeSZ4cqct7Fqd5ZhQp4MFj9BjvoM+gUw/tYz XC2f3j994cLV2kqT12La9BOIv6uomu9/ihV8jkdaO/U4CHFAQg99qdzHNS3nSncbzqvVqK9S 8jKZWGfwwEm3270jKFJYFil+WnWmLQtk0fKWpC9Jllle9xgy38SQziquavBdWQRF7I5Qh4tl W3LGKVNMUPuWOgFX76r1XAGDVcmPYnV3GwHWgwbASi6LUioib6v7D0VkFmcWsNypB8X34I8f 0DxJckSDBikgRsu5aNu1M8J2aOHjl3f/kkQ70Z0/8wvN7emxKvfcK2RdDOjCFg33uacRUIkZ XhzgHiSen99Ap4Ue/55fNYJhwGP99n+yOdU6MSlzIMyAAk4duoCwoGxszwHc1A9P3mZj49C9 eUVpDkLoWH1Sdm9nP673IzPeBY2iFhdVuPM1Q9agE8qGuLeg6eJqoXevlfLN8E9PX76ACMwz sDpG4d/FePzPL0B+UsKFUKxc5OPBZmFYwqfeXmSo13hnhjuIZV903SOMlmKklwFOpMTfNWM8 9hYxWtCEoGxsBVBO0YGfXhvUrrmM59e03a++KtCrT9tZarGgNjOEXDvgP47sv0Ju/ptco9zf 5ITO3iRGeVeg1dWS3ZI0HuZQ1YDwf8lWdWA72FkI+g68SmD7JOpjG6HNEpM8KghmeVbgo6XH mKRZDvKZeLuZTYKiGASaHKChOaXzifkkZWmYezDpNfuzNqpvZwTaFFQ2lnrq67afsq6gdR5B sZYTZtJpvKbU7tQyA2Z8o0v9zHyYdIfdhDb2FYw+SAwnKhy3ipGccSkxZ4NlZIw48qbeOHUI QXFVNhACTV+kaILEDUO1UZYPvhf4WkOpDiCo+f62WcJDn39+gfV2vQ6keRuGSaKvAnndakHH K0wy+Sp3LB1j31bZnOAZp0q+VeWPWmJz6Hy1ZYXEzop/SMJYj2Voy8xLXGfdw/pgp+dZEg+1 ChML6yFfV6S2mOSQM5ddqT1GThAqPDEn+ruAuiowo0kcRqFWNKzVOArXResrLzEI73Od9PBZ Eq2qCoI9V+8HPHjnenrwWzYm0SrtK0t2u4Dup+vq4/V3+fD1+w8Q7CySSno8whykurEUddBk 6GBK0kXI2JZvru4iJLm//OfDrKywp2/flSSv7izGT3nvBYlyf+KOaUsE8a17VdbiO6QvxytC fyzl7XQis3Ih+o9P/35W888Vq2k4FZ2eBYH0jJQzbjgW3Anvla0CiRHgjgJmzyYUw/VNn0YG wDN8kRiz5zsmwCXrgkM+OXupnGSTEzrUJCcz4sSQuzhxDQUtHOngRkXcWO76andYvmibK/fb Inyn3vWiezAXgY2ytE7UZGWSJyy7RdDqAQSKb5JPdRJ3V2467pXJTVZUzSB+bJKrIfN2IeVN RWaxIfLl3ihjMDudK3V+UmGea1P9PxSP/dDUhgs2ElFISxv5FKRb5ZsS7Yybg13BPX+wJldt RkS8Erqd38yjt3bxDiEzJSRiQI+5FXnmfWXy0Sj/CdJargfNG0hCLRcGWOJKBGFUON+gy+PA DajLdxyhx/+dwlzHoFOoHPrUR+VQZ34qY7e+PcgB36UBN45JYAeTLwUM8egagMAMkIkDEHl0 tQJkv9TIGSER62lwyXuSae/bY+wz1P2IGEe8RI43keuhayqCwDc4iPBhbF3yyubgTi1pOrsw uO3GADLhOta8j6gboniB0yNT69u0G6mzsoVwiF1YNQ/Utwgl3sFk4LeQQj8OTUawgnPsTZZe AmeZ68eJD+1KmwPNKQ0gBp2HdCj6dQ0cq9BNekYCnkMCceSkZLBHhIozxJqqplN5ilzf1rvK ISGG2a9ZQKQE81znelQj8+swx4IAcKUKQipvAop1WzuKtaOS5ACRS7RBcEOyxyHkubYuxxme IVYvIMY1ByJyZAvItSQHKpHrxdS3iEROZJ96OcndbSQQRck62wjsiJaHcN8F7ZhEIsNI5pBP 75IqnMBkHSdxDI7SFc4utpcZirAjm4Rlra8tehpjyKIwWJcetErPTyJiGmZdDMPYJ3oGi8jQ mA6l+haj1kAITcjuxgxH8RKBUtklmMwDNUFUjByTjByQbEeWGCRYn6hpDgT0+OWQbfy2WRL7 EZE1BAKPKEk9ZELvLPFdIQLPBhhARAEQiKlWAwC0JqIiENg5pLxGGBWsOX3qG3w7LZQmy6Y2 sZgvS7Td1O9p69qlxg5JuFPaoWXaCaX+yZWZViL5nISLu9YMUjtCa9J+6MmzyAUHiYtceQCw TgGA+z/XzQfBAR2cEdNCzkDb9cm5vQChInBoDV7ieC7pjENiRFfPIZLuWZ8FMaOFrhnbUdqj Str71ALRZ6cwwmu4DVPUGgWnBhoH/IgAhqGPQ7IcLIrIFgRpzPWSPFFVnBWpjxOPnCpTqLtk Q/cp69RzbGsrElQD/1u471EC+5DF5OAfTizbWPUG1oIKZVu2kEDMUjycrANANOc0BIEsBmtD l0jqMrgepU9dEz+O/SMNJC6hoCCwMwKeCSDyxMOJOVqE42SFh+3qvYEbo4qT0HiHTmZFxptG NxYMiRO9r6SSCgOLL1GkS1r+jGzeSA7Ll5CVMcoNqJtr+tic6Z2mG0uY0ItH5Iqav5dpSX9q 2qLmBhEQ8f2ZkRvMbQeITOITNoz7WC6Wj+ftj+vT93d/vn/555v26zO+yfny4/ub48u/n79+ flG2v5eY7jFMx+ZCJKUSoOYV83QTraYdTpnoLbqXkTZACdriJv5O10tsckrYN4eBaHElWK3J u31HunNC78Yim55zwm1O5JMcmXFPaX3mYoueFfXBc9FfnSWF+d7SuiJ+K8sOd5ultGeEB/ct matF3LDnLIUBmKeTjzdC7MQe5ODI2SANO7cDnvMKXp+y3Uaa4iQ9sFXabBlC1sBhuOaD427k Zbbg3OgfVztetDt/qwbRXtbOaOsxcJxkq6ty03A76cGfYAayVVxXh0PkJnTXOdfjRgLLLSJ7 1cKqCtUyQl7onn9fCbilwBYn9gwpLsMM1Gi5GRTPnvyg1ttIo2QjjPHcYHfKxvhctTq+VGgx nMnaZM2IV/9MsfYD2tpsFJ2b5Fop3LDZlAY3O5+O436/NU8hb4OSl+lQPGx00tvFRCtttkKy k7qiLtCDlalwC979lpoos1WcNZmbybI9M0PuupvzVtttJLbYtWzUdZ/5rl9sJIbOkQ19Uhg6 ICh3yH3GAj52DbU1X4ux4dzqz0aIHT+xDKRjm2fm3tpikUxlgrV0Sj1XL9SZVbapoe/3+Ghu X+7lZ3QhVBKjgTI/gqHal0JxUuJjDNaqNZ3drBlMHTljToKVBif1MunI0mzKGL2voBBpYwZB KeTnLfEW2R8/PvNXFM1+rA+5dsMeQ9JsSHZBqBQaw2G5CErIgnacoHBwxZ/OPX2zWxDQd+ih KkaYyPQUBHiqMvLAAhlQ0nDnyJorD10sgVYRjq3nmK/EI4XhhUj6NJ7H0JcZtZOBmJAV9TSF jGmMEGDXoDAjjFZuD3t/51so/KIWTKppTz5cAZQjTN1o583PiNS6wkOhUa/AOVC98smB1ov4 6adaZyMk39n6AayvIazk9MkTEk5lBAo6t+BUlm8BheHIIepEGmSMlreK2mvLt33kacW6GYBJ YUnSMpBBqMBQK3s6ukEo72LPoStLsHu4wUzyTtiZOhPAyc7RExsiZUd4CdvFq+QX1cOYfj2M hak1UKjRY2yzQwgd2ZRfqDDsRlrb8UsSesspjG4IEp/auhFg6Pi+npPuIXGozTKOCflWraK+ DOJoXG6bqxk02+txmIWOuyoUBprtZjjl4TGBzkIfEaX7MYR1TnewpU6tETpSzZjaqWeLXSVs wMcsfB9GyNCDWpSpqDBuVKsDvqiY0r5oZ+g6Ib1nL0wWXfLuPYdibZhJNo5KpcxGjvQltSVj bRL7lNWKhCvmmFLECRGqGE/KoboHbMSulevFvq1hKuaHvl6dK2tMvlB05W8oLNFHwjw1bq65 6pDDNUgMDoEEznwPqoFvNG2wOMe0JgDlMK5X3Ay0ffsK+XBK8xSPH8/mVTLDm+jYyY1TDFdc +NQrNduysXEbqfIleJP4ctfE7nZgkpYwB1q8Rt45h3JEv1xNNaRH2sLqzkWfHWfhlaU/M/Le 2Z2MD9CJp10XuuRo+caCZeeYRNJoUqB5mSKyskho1iykeejvEkMENfxDbQzeKWtJS8IkeWtd 74tURCGuegivYB455WgUl4r4kNahH4ahEUsSh8J0ZxF3RIgn1uwIyiXkJrDGKC4R+UL6nVb2 FQh7ZNYBirzYTSkMJqZIvaYsYbAGxPbMcwrZSDjhesaIYTKmzTo0UkQddEucIfPDZEemD1AU R3QGFpHMGjmSwsQcA98f2ophkfEoLImCnTH2JIo2I08S+bxHhRQZUIPU5wX0/BpkT522o3UT jZY4tCyj00jjSYk0Kxaq4x8VjxO6MgBKdmQfZVnrQvOYaqMNA3cjW22ShGT3Q4SekVn7Nt55 hhkZhXKXPpPVSPaBMds9U8kDEhqmc47RJkwqKaK1SpW0owW2O6ndlym9qSFxshRWqK3k2kMy bsyP7eH8G74SQdVJe4GJPTJDiaG1OLjbzNyVdltxZ3CZpmsZ5TdYY82XzE2RnPv9dFldoV9x ZUuUoTlnpz7rCtwoG4aypuy3pU91RUmCQCVzyIV1rY/JWORuTHVAUewOZYRdTGOp91ibGp6e UVn95pDrQ5bE0VaHRtN5UieVKNUxhF5oyjIXv/dNozskMHIvXXHYn+nzcp3bXrfj5ErEdGHk A2YSEdRUJyIlCoASLyCnPg7FNQWBehW6MGfR9YLKl7c96wgF0ttamBbt01pCShnVUNfg6FCj eaSFjkYS+iYRhcUHrqRTcAsO8vv15T565qjSfbnfK1sWeHQzZUXGr3U0hgs8gkUwxJsDX5++ /PnhHe0sjIG+2J4va8X5fi5EeORNIUx+vXlW9eRg8Yz416dPz29+//HHH89fZ1sCacv6sF/e Er4rVBBWN0N5eJSD5Bq5PVwOZaZ2fjBS+HMoqwpf81ViRiBr2kf4PF0B/CHifVWqn/SPPR0X AmRcCMhx3XO+x6dIivJYT0UNDUbdR1pSbNpeiTQvDrBUgH4rH3JAOF4ZrMrjSTlXgXC8GjR7 laP2EICBbnwwh4N4smDdXH8ujmkITzdYZTbvx7w6jZDmllWJteF3SEzwcU/3UYDaS0fZpQGC 9kCLNyypmt182TxX8mZ0Cw0gjOPQoXUmzMGYuhF91wm/dQ03vTEvi8epST8ukVkDM2xaYgy+ 8TO+42lspT2bjuMQmLwoY503VX4o+5MJz9OEvKoG0LzNotQ7Pkrc1A0rtKGx75o0709FQZ02 YTFKfB1XHWk9NKETay2INhv0msBYO+Wl7qFsnrvIqUo8Vf/07l8fP/zzz+/4TGeWG5/hAkw4 /kQfqmWmFBAxyn/aDN+GsRrBpzX+MOReqEhxd0xscFqjBzmYilVYIlRFTkec5qhJUfKhxpGd Cyj5inwnNWZau7KxprRJGI5UzPqmj/TNJfScmPQYcSft88iVVXSpNF02ZnVNQfM+J1nQuQLn LrXRcW79pjkqj5jgb7zJhM5FYaSQXVniXI4pqSFLlKw6D54XyFfjV0LB8lnfnGvZsFX7Ifal 1aA2Y2pAztKiPsK6vob64u2qd2N4l15ZmZdq4K/iQvyt1BjW9H3BzuTrZSIrcw7/koNn204t l491ik5nWFk3ysNsNT/Bm7K0y/t/+J6SfSFjTTAnTmlb6plbXlOlM7c8VyZcSasJLif+etDy kZ5SNlTTJa3KnD99ZEgQ62926FkuF3vVNKA5zmiMp/pkW9oJHxY1RI34YjE7m5GuYp6wRSf+ Xs66E6xbG0NhxVgDrD0HjjvNburlGuKWFFrT8VyrvFR9Q5e3xS0hpdhsaFPKB4nIn3gwgb9t QuXwH7OX3lP+S/rj/YcXWTS+hSndMk/RSDatqiYTz+RGgZJik2lVBLzFbZU6yP7SaemqekUg v65bev2qwSW4b/PSYCS+MBkeFJHvG9SL7YfIvfLpDRDrnOFejUJsc9MJtMqDIpnarcEx/tA1 OPKaoVm1eYYPGYoo4Ic5sRuR189guCW1InZm4mK2RRRgVeXZ47Gmbz2JiLgZJRbheir7oVoP 6dngVbN0Uiacm4diooPI/ouztUrYv2RveA9/88fLV5Cmnp+/vXv6+Pwma883z4jZy6dPL58l 6ssXPBT8Rnzyd8nWfK4AfJMh7TtiSCDSp0R/R4C9Jfs6j+0MnYt8sUSOuDdEzBvXFHUB+bE2 J89amYFuuZF+YS7zmF3WE/e9bN5p2Cpc17L+uI4ctwWwcs6jHj0iK1u55T0HWxeQk8Beeioj z3WojobOnANnc0w8lN3DtWlyS4cWRdGXPBHIM1HWVNkFhtcWiLpFuE07dFpfTaarKzKZdxNI yZ7HmSYSpZIs8fHAE/o0q4eiq/GhipToFohinx2moWn5O6+65HBnPRQF25Mu5lQeS/kbdYZY 8Hh8OnRlUefVI0id9XECuaqwzsbDw7QfskufL0tmin1neWgYe0/66ePLPz+8e/Pl49N3+P1J fQ4O51hu95yWtCGDxBhBK+zynN52VXlD80oeTBuGi6M6z9ZD7kQudHOB8zVk7CmvjBepr8oq LLMbrOP4+mweXS+F2kyzJi8s66nMPUGdWpZU3m04f9g5bkjOP6/oRFoGxt5o+MvF+RFvVlop mC/Unq0E0Aoe0J+OlUQ8FaYtrHLRuufPz9+eviG6Gho8tlOA3qbt2Vq5y1xN5MYkiRSbw23O sRfU5PjyRlCdR4paGNiHd19fnj8+v/v+9eUzaq7ilSNsnCc5r2Rt8LOXrSVZsLbksDkuSrJb qu/1eZ1fp//4nw+fPz9/XVf8qjDcbts+rICT/D84aEBUmS4qCGrovJ4blPYa5AxCwVjGsKUu RGWt+uXw/BN6Zfn52/evPz6h1+1lUHD+Gs3TUv7+71SHWW5spYb3DHQey17LvGQbqhW/c2ZV em4slu03Up1p2uxuqMjfX56+vp9fzzZWKp0Ezt7WjPwae26hO9e/t/prG3Udse19ypky39IU oiaNgbCL3ouajqWD7qFeZW7rxuNwaI/phkLKX7rB/7flIgOJEUucttyU7qoSw9A+QaXZLl4P /5Wqn56n81BWRJ0g5vqySZmOqJcLFDR2XHprAbHINblZkmix4xiSjl3Z6EFHptPVAtI5fgjo KB+CQDXQkZAwpJ/ykCiRa/CqIVEC0o3CjRD66rm3hIQh6W7i1kuyMJLtjhZgn3sJDaDDwWYd nvV+WPlEWwjAp7InIHsFCY7BpZTCIb353RiBVwVk7gBQ/HioAN0VOBgTtYOA4h9ICte8gkgI 7UpPJhgyGFvyN45EX50B41e+6zs0EJAjlSMGH1o3SuhXhltNN87oObFnF+hnTX9DVJmJXrh/ JTN6bZTxfyu7subGcV39V1L9NFM1S2zHSx76gZZoW2Nt0WI7/aLKpD1p13SSrix1p++vvwAp SlxAObfqnM6Y+MSdIAiCAAF0tm3YuIhZgRs01Xu8nI8mlKmHBrC9SnWUxYS8ydEBY2IGyHT7 UYSirqtkRvtX6Y7xaYaBki4nJMNJ2OF6cbkYYjkCMpnOmVs3QZpazqZ02ox0oaYjri3PdEah 88mZHUXCLC9sRgWGVmpSJovr0azZB2Er+5L5aCh8Rl2RDlIUOg+S0WxBLH8kzHVLaotAL3FB vD54Cb55geTFbCDGcI+bXM4uz3QzoqBVxAxQFG/tp6PLMfPUcDoa/3e2hjB3Yf4PVK6IYd8j OryoprPRjE734a8IZorpU2LcynUVTy8viS/KaJ2wsMz9FN+wSTuIhsG/0WpY7m2hhBZXHsMt Qdaml8nYeMygE6aU1ISEGSW7tQR6BgDxajqbE4SKTcbEvMZ0+wKuVRvAEZ9U9lesHE9JR9UG YkbUHQnzGbH/C8Kc5CtAQrPFwUmLmDkZBsdAjH0FgPw4LGVVsHVd0U45FWLFrhfza7IAJF0P 1i7eTcaXLAooiVIj+uZxB5mM6KDxDm58oEZBJ9MTrIcQk0kjDn4dBocRtfSrcsLG4zknm1hK 2Wx4mBA0HZIY6pCNJhNyB0WDNPKllQ6gBkikE92J6QuimZA+HxEcEdMpkQTTJ6SUIyhDez4C rjxFUctepNNNnM9JiQYpC48H2B6yuLw6u/OgYa/PgaIOGRpeBMzIVY6U+blP53TvXy8Izo3y zpzaqMSjE6LP3YcqGmXmsQVXkJTVi4mtqicw06uhGYyIxYgYd0EYExxbEihekTP0Qs3GVIOE C4ZmXzK87ipoqysTuyOgJLA4SKBbI0mvenofCdxQBhnfyV0db2FIBU5PNglSxbUuWL4hqDKK fZ+Gj1iyTRA1aCIM+UmLZf0WEBGDRunk84WEJ7BPB9u+JJViOT0RwZnKt9P9v5RKrPuoTku2 4hg2oU5o2+CkzIusWcZZsKXqU0qSUsLp5W6eX98ugi7Ao+sFL+V7tPnTDJDwVxf9vatCn9qs 4F/alFYDJXVcufGfddyyQIPDlAN4s8fAkumah6rv0D+i4x9GfMbSyeV4em1I25JQRJw6s0gi unfVOKysAVqcmF5N+/QpbQYtAMJKlVrxPXVsldW93HdyorVoHfXafP0q0uWzPH/9hHM5z6Yt xyhbsrhqbmqPMboOKtiNH+PxACRrj74frux+gMSp0zn51HjarRKnhHPcjqb7U+0T7THGxJlb 3mJ66X6OBsJWoog3NrWr1qZaDps60mzifLBPLFzvLcCZfeF4QfqnlbWsJtNru5HOs1WRmpZj q9CUV4dltLZSq4DhOybr6yoOptcjZ1Tct8jd9J7+57Qlq8Yeq3xBjsrJaBVPRtcDU7XFWDKo xSTk3c/309O/v4x+vQC2flGslxetk9V3DDh2Uf443p/uvl9soo6zXPwCP5pqE6Xr5FeLzSzj KN0mToPcKDwmXfjtoc7xsvPiA4y71f1ofGKPiPCQoqb+T5cn2IOFiWPTI7LsvNyj4pRfrd0r tdX3u9dvIjZv9fxy/81ixF23Vy+nhwdrQ5NVB66+tl7sdAgWBBz9mUWwI9+SCHTZKDYQogtD 9I2FZtfaZtWndXtvl5dG2zneN0TFAeE+6YLERlqlGsX0Djdgp0p5bFaiyVb9bxlEF/bldWj6 akPDVEiiBXLMBTW6nsgDSC7ZaHTwkPfDubeWk9hiiiys9HxENN5KwsD7sTSiioA880SIl4As x6BDdB7biTf7JFj565ZE8ZKzusLrW0/TO8jBD0lyNB/yFAHEykvcNYfM4wjnUHrblC7zVTte tJguLDTOUpPaczIXgMT7PXqK9BKl8OCfSsIt6PiyYfnSm4nEjC79A15Fif/zzitm4q1FB/GP qgzS6iujvQz/cpve4KMq//BX22ZTDlGDGx9VPEpiIfVeSpA2uGiaZJ0Yryx7km+p201WQ7cS s7jfHJSTUkzsLUg3wvC+WTLrTYZMp/kyHLf8M0IVg+cpT9VgS+NGLQTTTFjep1RiOTRwiizL JTPcKEkGEls90vHwwA5Vz8rbNMBDqV1kxUvNOrVn9SDlRt3hA5LxLXxr2W2YMWC2Kyt0ns6i 4bsmyXa8fQFM72IIonYrTN9wZnvobI/TVq26ptYHfBAYM+25MWxRRRyEfcImvMKNxZEo2vQ+ AVk9K4Mowud+mpARhLrlSc5gA2yPbGjSWGLAqp8mVYb3a2mfPvUNbSsHElbjiw+pQyijY40u DqN92XVkvEOrMThwWOzwxUlU0OcYxIQYktDF6LkUdalt+buV+WoPf8OYR9C/tDWvACQgj9BU kC3UUyCiAq1m46f5G50s1k7iEp/i6GOswInZNVqyesLevmojayA8zLYF9nmIVLFgW+0KCIFr Ftw6q1RYE74+//N2sfn54/jy++7i4f34+mbYCCpna2egffHrgt/SUXRgnvPQeNomU1wvbDZZ RhPAlYiPmZrt8vP48moxAIMDkY68dIpMojKgxtbGRSUbmAItaDGearFvtUSQDYnmbuXfOKIC lbcYZInGjZOe3vADXtPR/M4AplFTZHVFG81XbC3f6JsJ0uuDYrvs6evL8+mr4Y2hTbK/W2ao /dPj2ZcNWqwh0/FJC3B0wzCJlAJNzOIsybOUp5XG5wQhjBLTqS4m0jfJ6KJ6F4U8s6OFqEdS u2AT0VwIFZgtisgYZBUU79GPw0rTcK4iHoewAnDh9qmbBLVkuDLgGFsbQ4tvglua8lMQk/ev mEdeZCvgCtp+qXnKtR0IDT6xDzYFTJXu9Ti9DBIexyzNDuQj8w6Vodf6QzaaU920wXfNQay9 S1Up+EYRBp8bawcjxUq03OO/P3eaWml7D3Uojv8cX45P6O/x+Hp6MMWBKCjp6YYllvlidEnu 5B8syMwORNCtbxW2DSEdr5Go66vF1FryiirdHZ8rqQw8xrIGJqdiiumIaDrR78kskhl50iSO qEslE6LrHk2KeeWt0ZbJaLGgFLsaJggDPr+ckXkj7Xo8pWnl+BLd7uaesvEIjo7Iy/xsz7aP Bc/BZCjucygZpeDsYA74t9IzgzMt/AVRyrsubrLCwwORGpejy/GCAROIw4i20teKEye84eGS qlfq4+yQMs9WqyC7wLdMkiQfy/uos4MlnLomPs8notfE43aPdIDTkkVbFjeVp/sRAVvHfDRq wh1tTK8wC4/Naktv8AXuWYDw5z6I8kaUVwD3JbAD2RT0/baip553Az19+PuS1togWfNrd250 NxGwqVmwm3j03DaUtkq1UNNrT+8ZMN/ltYWafwQ1v14EO5+u3twdxp7AmTLs+ybyvNjSuWyG Ie89OjPU/3o2Ovg0Sg6LhJYMOrKf9Qiyf9YIssGaxGYfPT0cn0734vUGdZELAimcHKHe67o1 B/YoQU3YeLr8EM4zyjbMM8w2zKNd1mEHdCz4AdTCc7egUFVQu2PZikBkn5KTZctvcbbQ/AbN 5cSNjF0QLdAlx6+nu+r4Lxarj6DO16vx3ONrykKNPOxFR83mnrDTFmp+li0gyuMJ1UDNYX1+ CPWBEhcj325hojwOLR0U7pcwXB8ER8n64+BktQ48IewJcPLxjHf4Vulj6Dl9I2+hFh9BTUcz ctkMz2ht0p9/h27k+NEXxwkcwIs2QFSTgIx2ri3ed8XdPPTLNK1W+axk6j467k/VbZS9Hj4A G38IdjU5B5OHjFW088tIrYuDLEClBV0WXtHQBenFYMg87UyrkuC/smBbUhSM6iEDfAxRF4PU a9NrlCzRE49BGykMFRJ6J028JR9CmqeDdYKbD0lv73N25+shr3wo/cEeDl+psKXS2tenigsL MncN453yGsb7flzHiPfW50A4kDSo5ElTLyyviBqLKJ/fX6goXNIhln6frYLKZktuzIqyCBy1 stJ0+eODdHHc/BD10HgA0UX6G8DsxRWlH7CqqqTASJ1+SHTI8S50INoJOnSYDQCyfTxALcKh fpAvzQfp0whG2o+QIRz99F2FM2QAoCJu+hEqFmpVBQMoFch1IB85oUIZnQhZjWcht15bhwbl UA41CVZPwYcGPRXdJiKT5Odr3Pm1GQKpuDl05xTJbp6gKIsGoTREeAnLI0+kSelDzKuMFDWQ +6TXj7zQP1XJ0FRGhUlT5EOdi/fhAxMWd7WzHfoXqs+9bS03LUMKkjOApKp9nrXlfTWcQz1e T1QWlWcS8rafbEcfztw40Nv7Bg5PsBiSgrYy7ci2HGjSc7pysmbCzRV6eK4GO1sGgvXMqgAG YTTIH7rD3lkE1CXzzFAFsehqSkVBkaHvGZwSs6ul7gOU3Mq02ciieJlRb3PETa3t/1Im+pyQ F8fH57fjj5fne0oLUPAkqzh6zyQld+JjmemPx9cHdxO2nJqJn8C47JTO5L0vx8hPm9Ho92gf mQ7SpVsaqPEv5c/Xt+PjRfZ0EXw7/fj14hWtJf+BU0Bo2v6pwwF6NiFt2tG9UcDSnUdubwEo /HNW1h5/7Zq3piBKV544dwKUeEDqApGob+utS2i9Pe1oI/fiXRO6xPfsaB2mtOPa26B8zM5m NNgMt7b6Mr0eyVfQtEzZ0ctV4Yz+8uX57uv986OvJ5Q8l2d7H0+HnFvfjX467OZlReu7UB7M kyXZbrJ2onrpIf+zd8938/wS3fiacFNHQdDa+RCcIMwZG4u4aFnMdd5yrghRxumP5OArWIwJ 6hTJtjlfSmUjCJz//efLsRVHb5L1oLia5pwskshc5M6f7v6GJsant6Os0vL99B2Npjs2QNQl jip+kH4SMuomuSv147m3z1d6lQbJY9DiLgnpKyQkhnzHPDsakmGRFcynLEJAGeQ+jQ+SCe2R slyhai6qfvN+9x2msXeVCYs/3AObkuaIElAuaWFDRt6IPX5fybBAJrVMOC0ItdQQv/cD9kFa lgSDa/uFbL25TAhdj9roWsdzzbpYGRGLVHqUhXAs93kIzEivdAZd2bO2cRdhOte5M5dt/GQQ r6MNCaMWhxuXWYvJcDh9Pz25a7/tRYrauWv70B7eGegluEZWBb/pLB7lz4v1MwCfnnVJpCU1 62ynHuZlacgTlmr2hToo54VwQpXq/tENAG4lJdsZFjI6oItWSXFrPSNWlpHIxmhESOznRaLi VLfmMgLpOYsJ0fkjOHm6JlBOR7cuxIkGC4KqXJoFtBxBovPcczox0d1KCVeUPQY/VIGwF5Rb wX9v989P7asIqisl3Pfwq6W6sap7wmQiTNjsDPMqnfoikbeQLnKZsKkbQhbV4no+oQKStoAy mU51Nw9tMhowtwEZHAIsZfh3MtbjX4PMX9zqjWkP4mHBPKGvJYB7GHkrJ4FMsqL3gWU1auIx us73nPwaxhOPczc0wfbRhAe8de6L173jyxpnlS8kHOoO8NCe8qoJ6BIQEq3o/OXFZJNyX/m4 K3sMjkTsliYMC1+fqMN+kXvdFgrdzCoJxt6BUcoT8kGwZAOJFvpabSncSZxQiaPxVZtqKu7w AYWvTyJy/RkPDeEHnrpXpZnkmJ5joj9oUEdtqoCW4BGBUnzknn4thNcupAV47VMEnRexZ5sX 5IEzBtIHoz0hQD6RojtVacd0ayBM3kTLHa3TQGqU0FKHpB3oq6+WOKYvVVtqU3nkMUGXryXW 1LMTQb8pZ2MzmA0my1jt3lzhoDvCpVYG/gYDxn6padFBThy070SUONn7qSjiOyGQjM/DiFWc 1qMKwIHmYkhrXZc66iwNIp74mvaTItmj6kOaHigzz2jWLnCOO2Od2DIyn9pPYIbcNAt+MCAM C7r/4lKQ4/EiyGNa0SAAOR9ogvfeSxA9qlRJ812GdVSfcl0A8CLFSxW81k+NeOC59WvJm8Kn U0fALkIDlYG2yTsY5zSAb1HuQZB3o3QBBcdYf3DarCJj+5AqdBYNv9cCRhFgbrmHrXY4KHB4 b/3CRn6UmjSiPFo0Ka8WcC7yPdHRLYp8GFWVzaL0lwMf9w8HWRRyjz4aQ0oWN2XFfTptBKSV 7/llK59jaSCyLqPUkw0+1FmjFjMPNk3uGawEnxvYjVYKHXuOdFMkx7hJ0vpfjYKM/RPlWVAx K8onWu4FpBZHTMV8c3tRvv/9Kg6Y/TxUYXyA3M9FLRHEdOB3oST3Ux4Iai8RLloqDzcCnM++ F2kBS5uqYGkZcHw0Y7BjLLv3zA+leHiHg5vAUEQe9teBRbCBj8FEDyB2yO048Ql2mherIuVA fWmdjugeYWE7XE9pBov5EH3c3dNj9zXEIEoj2+HeTcuxfBXq4/uYj7AqYZWHBSuEVUuqIXZj jdnS3lJnRWEE89KJYqqSlJLFu8wkiQONsBjFqpm0JDpg0BHf9JdWtIMtkva9ZyHzcxA8TSIP GppPaLMrXagOjmXMYBe7aXbFYYwX9EMTq4UWwK+9WbIiYSGbzKficB3XGKu6GZz2Qv53Zore 7eKcCnlC/erKfKCk0xfCrYxVloYDUa4ZL1IQ78tIO6sZJGyXnT8Sh4YjSfLJeQAW6kfg/fpQ LyGgXnkE3JZ+KM/l4HWGrwBybntsvRGEb+0OU9x1Qu6vTRbwOKvOoVi1mV8PdpxQDUX5zdXl 6ANAnLv+eS4gNx478R4wuFYERLgXS/OyWfGkyprdB+CbUsyuD+Tr7y3VF4vL2WF4tgn7S+wN L6Rg6AdnMBfhGgD2aTGzPcdHhHVaSPHL48bEQAqWNDgTTWhQRoP7pokOP4oe5HQdqrrNPe66 EdZKhGEu34eew4nV9SHkYOWU1mqIH3SYoencycwfRvknQocarHovpW8GpieIxuLAOZqMLrHT Boazh16dh+JxEhoBP/xDKjV311dNPvacxwEktZNDy4cls+nVOQYoQ4/soy8kQugsWvHdu4NW IIdGOfePixFQreGJR+/oQoda16mihBDin809brBgw2cLeSIyjyrdzo1XToFwNtLlF/pUaIlH zVmY95POm3Ul16RhkdmmGJ737CE76FVKd9Y9rIzFur94e7m7Pz09uKqAstKDE1eJDA+Krl2i gCKgQVhlElSw2f64DollVhcBV1YR9Km+h21gXVVLzjz2eD1wBQe2gM5OzoBqQ/Yb0QX9l7YN vUrWg17CD+HqMuS7Js1CPQg7UBImhE87FLdG2tTUEUkDSAsd++vSsgXXSUtuPeaHxCwwHE1X nDzOJE2Wa9qfMsqMWYS/xfWlfUenKWSihHacISIzwn+nPDBuK/V0PPV4h7ADCSkkK5MmplmO ASa0ki0syGoEOnUp6rxqgtQ744CBt1aig5g4H0bhndkNp94KoKnsTc3CkGsnhN5UsQrg3MXy qi60W3B0HeG4kggspzA6rUyNaOzWrax02Hf6fryQ7E67tW/jasOKKzHUp+FiEJIi0/MSP1Rj SNar1iY1B1ZVlCIc6JNmVVoXuRNRXlZGh4YF9HWSQpU8qAvLDWAPuXLzvvLmbWFUzkb7ruzQ 4SJtC2JG1XpA6Sh/LcOx+cv+FgpJlgELNhofKXgEvQwU/bqtSwRosCXSRbR1NPsjM5K9b1i9 aMShvtBxbn/8Jav5qP/ucjNh9MdWfwhgxaoI7deNcTuIkogKrlfl2KjDsrI7T6UYVety7qii a1ubfZ9byQ5c1KhAgEG/laM+gHZcBVl0VkIP01yjL46vmh0vaE9gaRTbnbAaq5Hpt5Fx27l0 P7ZfdDPFSiZGVZG0kTULkx06UJrwfRSlf3HhtsDNGXUrBTr6zFInc/hf/IXelXo67UVS0b+U Fa1M/JKl3DffcECFsNX/JvqGH9Dy22Y9Mk062Yat12MCEcW8QURE7mMr9JAVFLe51WV6csPi dWnQcO7oa69Lci/xe9KyjuIKFWXROmW4AdH9IT3UaTZcdkIkEywHtStm41RK694VDcCSSIy+ 0Y83dUYq7kR6UBmLm9VVtiqv6KGURINVrKCOxkIKIKH/1fo60wEZdFbMbq3F1qfC0g2jAmUT +EOfuggsi/cMJOxVFsfZnqi69k2UhtwQ2zRaitPi4HVLryETDn2X5a7DteDu/tvRMNxalWLH IuXrFi3h4e9FlvwZ7kIhWziiRVRm16iaNlfJX1kccer1xhfA60NVhyv1qSqcLlDa9GXlnytW /ckP+C8IaWSVVoI7amJYCd9ZFdytvCwUCMqjG8YsyNFj4dVk3jMFO3+Zor6JMvRHWPLq86f3 t38Wnzr+Xq3sSogknw86QSz2etcMNl9ezb0e378+X/xDdYsQLswKiKQtXg5TBwskoj+FSmOJ IhG7BCRS2DezwiKBtBuHBdd42pYXqd5blgmS/NPvc+rg7jZEE5TRhx5yWHwixxNqFFPdIzP8 UMPz+dPp9XmxmF7/PtKcUCJAjXVzRQZzMSDziWbLaFLmhjWjQVt47BktEOXs3YIY1iYW7Wzl F2ZsFotGxdWzIGOzZzXKxNMri9mV95up95uZ95trzzfXk5mPovuot77xtef66to/lnNaKkEQ sDicYQ39mM/IZjT+yJwAlG9YhHdWs2Wq+JHZLJU8ppMndPKV3QOKQDnc0+kzulJzX35UWC+j NZ4Kjrw1HPmquM2iRVPYn4nU2vNJwjDmfcJSs1WYHHAMbWLnJilwCqnJcDodpMjgnMRSs22C cltEcayr7RRlzXis30N26QXnW3tlIyGCKrI0HKhGlNZR5ZYkWhxRjQY5chvpnnaRUFcrI3oK nKZxCpMihqGnkA8Pj/fvL6e3n5qj5W4HuTV2LfwNQtZNzVFfYksxajfiRQkHULR4B3wBYri2 IVQF3i+HKme1j0vRW6U/GiU24QaEfV4wv282RAnZNwoGUOqghV6GS2FtUxVRQMlK7mFbpRj7 qcov5dU+K7YEJWeVNlTCCSaIKCFPoakozqPIiLG4s4AZO7oDGiCB3BTHS2b5ynBQyM/KnFFu nIXKIBDQBKbNhse5ftIgybJpn/58/fv09Of76/Hl8fnr8fdvx+8/ji+fiD6PMxZa5m025JYl hu/cjoBhmUCsi6iFpBUQbMNsnzZxmRAjoZMbzopY61JxnhREFJl4jMHbA3QdnhpPYzywYY2H 5yNBhRECFuSNwdHXHXiIJ+ZUV7h+XGyT+oOnrbWVZFbeJnBuQSMxXHZU7rrX9gg95MvHwk0e FE0UHj6PNDfLSAeZEK2KKbaA5HTdIYwqYUiNaH3uayXnd1l8Oj3e/f708MnMScE2rNw05YbR 1t0UcjylPLZSyOlobDfAhCSTD+T0+dPrtzvIymrAHkYHuhgOcgGlrkJIwVnYIux6sDwvWFT6 OlGNoDX45jADg6+5XCXSf7y9EYiWRCVbxsDQKvxD65h31K2L6oKeHzNtU8Xl++n73dNX9Cjw G/7z9fl/nn77efd4B7/uvv44Pf32evfPETI8ff3t9PR2fMDN67e/f/zzSe5n2+PL0/H7xbe7 l6/HJ7yq6vc1LS7bxenp9Ha6+3763zuk9pteEODgCO1Gs2Mwz1E1DdyugvWrnZ4o1BdeZPpC hCR0SbJ1WIlGAuatcvfczxhQLMKPE7qrGGOKt31Muu1X0BXILRpSP/B6+kiR/V3cvYS0hQpV +CErpAZPm3MyTIRw1v1opiU8CfJbO/UgwnUZSfmNnYKRJGawUoJM88kt5AwcI6liefn54+35 4v755Xjx/HIhdy9tJggwnHdz/dgsE1m8lk4rqOSxmw4Llkx0oeU2iPKNvgFbBPeTjRF7QUt0 oYXu/r1PI4Hd0d2puLcmzFf5bZ676K1+fapyQK21CwV5GAQYN9823WDHJqljVP6LBusDfqjQ WZMNN8Hr1Wi8SOrYnltNWsexU01MpOoo/lByjeqNutqAdOzkJ+KntLM4f//7++n+93+PPy/u xYR+eLn78e2nM4+Lkjn5hO684YFbHA9IYEjkyIOCSi4Tsvl1sePjqeWOV1p0vL99Oz69ne7v 3o5fL/iTaBpwkov/Ob19u2Cvr8/3J0EK797unLYGgfFETI1Z4HGC2H60gSMNG1/Cxno7mlx6 fG6qtbuOyhEZKl61mN9EDueB7tkw4L87FSR0KRznoPD86jZiGTjfB6ulm1YVRFpJlL10xiUu 9kRHZSva9KYl51Azf8MPlcsuQYDYF8xd7elGdbbLCDCOSVUn7gzD1+aq/zYYJk91nzOgdAwk xSAT5s70A3a6nbiTSKkJPz0cX9/csSqCydj9UiS7hRxIjr2M2ZaP3TGS6e54QubV6DKMVs4X a5G/je+62iYk4ZXLWEN3SJIIZq8wqHdbWiThaHbprnsQwKlEkLWpZClYO8kTgp8QaRUINMvM 3eD2Oebbzpjg9OOb4eOpW9HELs/Rx5rTXyC/7FcROYKS4AR4UiPGMLpG5LLHgMnQJzLEqjOP gUrp1DTyzKlkyN0ZsxJ/3dJbxkdwaDj05zyllCTdQFw5xVT7jOyeNr3vHTkgz48/Xo6vr1IK tysAMoh9JrQh1kW2SVxcURuPdbftEDcu58XrblXlAs4nz48X6fvj38eXi/Xx6fhinyLaCZSW URPklNQVFsu1FTpKp7TcyekOQfMFftZBAWkvpCGccv+K8BjC0X5V1zhp8qQykdGl5++nv1/u 4Kzw8vz+dnoitrE4WpKLC9Nb1qZeqxFzX0MNjBiA5CTucqJKkxBnZAWpk0SGc+hgJJlac5iu OC/IYNEX/nk0BBkq3svB+9b14gsJ6liv3c8b6p7c1BII23rj1KaIeb2MW0xZL1tYb0XQA6s8 0VFEkYfp5XUT8KLV5nLHbC7fBuWiyYtoh1TMjELMVcy7ntpfvgo6itD4Oa17i9aoPc25tCcR tkOtctm94j++vKF/H5BGX4XnbgwbdPf2DofK+2/H+3/hfNyviSQLa8gQ1V1Q9udP9/Dx65/4 BcAakOH/+HF87K6u5TWrrjUvzPhdDr3EGH8mVR5ntC51vncQIuja56vL65mhjszSkBW3dnUo razMF9ZtsI2jsvLWvEcI9oL/5Tag4LtM9r0E2JlodNUDvVHDBwZHZbeMUmweTK20WikuF3vZ m1Qw5Df61FJpzRJObcDCC0ppizH+WAHYdK2zRXwqbPTRMgKBBuPQGeGyilC/m4LKJhyOl8kS cJpbStEdTDuIdu+Bg8g2O1UkKxnESzhHwZ6gM5JgNDMRrgQKGVV1Y0gZlhAMP2E6xav2FKux IkEBVsKXt/QlrgGhb4JbCCv2tC5Z0qFzjSrNDBE4uLLqRV3uAz91xf5g0XdXJ+dr8yMNs0Rr PpEtSCyd6V6fM6aG3E3/glwdtuXYWNhf5G5kpYKgROSMqVTOQgzq8Y9aOl0TEJCI7EUyhT98 aQyjbfm7OSyM7alNFS9HPN4EW0hkhb02qaxInKIgrdrA0iHKw2eT1NmxJS+Dv5zc2tncJvYt bpZfIl2jpVHiL0Zc3J5w+OLBZ570KzK9lVmtdU5cOC4DTVpnJfpABQ6y49BFBTNuH4XROk/s JDSSawz2sbHjHafCu6qM9hvzdK1fjUJnb8QXQnWLiFVWtHFQ9dEJxQ2HP36oCOPM8p79apvF OpYt1zokzoyxx99DK7PrwCqDI7DBMeIvTcWMzNDrBIhilFV4kmMoUK1q2kVdm5RFIexra9ju Cv0aGp9QZRpXFxcDIc+zykqT+ylsFiD6jC87EnC9xHx+leP7b/rqIVv+xdaW6XW7rTq7Yj93 0hHe52ehkLnMCxklC4nUHy+np7d/L+AkdfH18fj64JofBPLVUxNn6xj2wbjTR8+9iJs64tXn q66jWxnQyaFDgGi6xHu0hhdFCqdzfRnBFGvg/7ADL7PScEnrrXt3oD19P/7+dnpspYxXAb2X 6S9uS1cFFN3sWZF+Hl2O+8qBzJyjy36spnEBhxeAQqkNRGKCbYAM8gDsCzAZdHW0bFQpLcbR nC9hlb70bYqoU5Ol+nW5zEPeY6/qNGhNpmEON9IreIvbJSDo1AeTK+gf7znborkIHJBrvXc/ 3H+it8Xp+3SvZll4/Pv94QHvpKKn17eX98c2Inlvw8jW0gs6GWO6rV/p1LgUzGPfyO7sGZKi 4i2DACT4UopcT1ZOaUb6VBFWIoIfbteh1p3uL/vBTJ+Gt3t4cUvSxI0uTi2QNT/tRqvR5aV2 Ay2A25B6ZlcvS+ZegYpUyLROw9JDFJuIA6E/PP9FuYlWhtgok8No578dlZA6hXUDZ2TrvtrA ANMTL+HwAORUNYvdcjkI30Ru4ngpe0yzrv3QZDVnnrQbceec7XtTv9vu8tWMkJEPwkGPp6Xx 8kFmhlS1OVrldCRoqWA5LQ+lTL+wjGyfGodxcQbPojJL5eGGyB7f53jXohyQ0v2yJQxt2CYQ 77v92YgHiJSOyYS1ll6eTNDTCjLfgfWvoMD4gO+ph5VnyzU7v1chlXG9VFDjmY8goO2Wv01S Uqhxi9S2gGCDcpog8TTsnsxZzfCYdoiZKdyxCjMDhyFsGa4ZV8clqdi5GFc8zcTjMIznzsKw PTbYxgn9JLdatQHRS8keAnSRPf94/e0ifr7/9/2H3Es2d08PxraQMxH5AhiA9bKIouO7zpp/ vjSJOIOyuuqT0cyhzqFaFQyhLm6X2aryEpE/g1TGEh0mSvgIpq3aqO8TzL/ZoG+JipVbfeW3 pkiK1DVgNNbsuvqieqAoiegkL9busP0NSBYgX4T6bY1gmbIt5mvboSGUJqwgJXx9R9GA4Hxy QltPJWWi+eJTpIkVo882Km97MWDHbTnPLW2YVCDhBW/P6H95/XF6wktfaM3j+9vxvyP8x/Ht /o8//vi1r7M0G8S817ge2lAohtxeZLuhh25t7DJW2awez2l1xQ/ckXG0oGvmeu7gVrP3e0kD XpPt0SDUyxKKfckTp0BRR+tMJgw1ee4koMKm/Dya2sniPr1sqTObKtmY8HbQQq6HIOLQJHFX TkERMPeYFa11nESN3QbJyls91Y6TOLuq/YriMqJHgBvgYdBSKPSd3WvOuom7Mj/SVs//Z/p1 C1F0BnDRVczWzqi56aILxUd6y8XRAW3W6rSEoz8sN6n98k6SrdzrTNb9r5SUvt693V2giHSP uluDc7c9HHmCGrVihk03Zz4hmEiDcksk6Lmi2G+bkFUMdbLoBiGyneUa/MvTDrMeQcFbo+BS 9QJMOoqpWXOkPxiCAFIGrDV3IquOEP1zolcQgm+m+5zsMhwHIhqN3/Qv0/uASEY7zGbDbiBP hIU6C5pncLEqQHZFhZA27VG5mQa3VaZxizTLZd20DVX+Rp/3jZqkxkQPTKaHByMY39VKz0O6 8Ee8oaKHPxVWrNxHeFq2S9ayag995V4/DecgkSYwc4ob+SnIyal+onPKUxooqonmRqE0C86y xD0a9yv1DWUgWtyAWLHqS+mFSrFtynTq7LqHMXEql5UpyP/crTRK3NQH7YCVKcvLjX6KtQhK eWD16hL4DDpyLTJxeWcb36p0lsISZ3iRJT/w+X1ScOBkFFAVGouIN02UNU6Xl7dptZFTiC5D zkM5x+SDfj9MzJHB+yV91hGKUFUYi4WqFBtnKEEDDOnRNtp1FGTMK2IvUoSKAYfJHd7RryMT Q3MqrSE+MAHtnK6IaR7yGORQcs0Bid32O6YaLYbRVTxviMSTIRxoykPUt+N/dw8iakfPr3UN aHV8fcNNGKXXAEO83D0ctddWtXFgkj5RBAfU1VG9qxQ7jR9ExUkaTl6lLeqfqbU7HOo+s6L3 JEG23PI2Qd2ryTMcnNxwBskhzg2FQgFHXcF5oCY4Xmj9Qm6ZQ/1lCRjCxQHaKmdBnXgXmJRF lpFsKh02ylJT/x8Dff95qGcBAA== --HlL+5n6rz5pIUxbD--