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, 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 4F41CC433DF for ; Wed, 8 Jul 2020 04:58:08 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 1770E2082E for ; Wed, 8 Jul 2020 04:58:08 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1726102AbgGHE6H (ORCPT ); Wed, 8 Jul 2020 00:58:07 -0400 Received: from mga06.intel.com ([134.134.136.31]:15159 "EHLO mga06.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1725968AbgGHE6H (ORCPT ); Wed, 8 Jul 2020 00:58:07 -0400 IronPort-SDR: yEVlr066JrhBqHzCAAp+3flsdAVUkrHrgpMxSwVMX3ukykIId+scv/KMhr1cCL5tP5vBKfvka/ ixlzEZwhUJkA== X-IronPort-AV: E=McAfee;i="6000,8403,9675"; a="209272112" X-IronPort-AV: E=Sophos;i="5.75,326,1589266800"; d="gz'50?scan'50,208,50";a="209272112" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga005.fm.intel.com ([10.253.24.32]) by orsmga104.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 07 Jul 2020 21:58:01 -0700 IronPort-SDR: US3zYcaK0YufjvU0qdf7AphmhdN4ouO3W6mv03epD2rgyG8zEAXsiMRHR7qZpPR12guOh8odtc o4/CLwF9Pz1w== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.75,326,1589266800"; d="gz'50?scan'50,208,50";a="483759644" Received: from lkp-server01.sh.intel.com (HELO f2047cb89c8e) ([10.239.97.150]) by fmsmga005.fm.intel.com with ESMTP; 07 Jul 2020 21:57:57 -0700 Received: from kbuild by f2047cb89c8e with local (Exim 4.92) (envelope-from ) id 1jt29d-0000XG-5j; Wed, 08 Jul 2020 04:57:57 +0000 Date: Wed, 8 Jul 2020 12:57:24 +0800 From: kernel test robot To: Alexandre Torgue , Thomas Gleixner , Jason Cooper , Marc Zyngier Cc: kbuild-all@lists.01.org, linux-arm-kernel@lists.infradead.org, linux-kernel@vger.kernel.org, linux-gpio@vger.kernel.org, linux-stm32@st-md-mailman.stormreply.com, marex@denx.de, alexandre.torgue@st.com Subject: Re: [PATCH] irqchip/stm32-exti: map direct event to irq parent Message-ID: <202007081232.bA2RH80f%lkp@intel.com> References: <20200706081106.25125-1-alexandre.torgue@st.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="AqsLC8rIMeq19msA" Content-Disposition: inline In-Reply-To: <20200706081106.25125-1-alexandre.torgue@st.com> User-Agent: Mutt/1.10.1 (2018-07-13) Sender: linux-gpio-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-gpio@vger.kernel.org --AqsLC8rIMeq19msA Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Alexandre, I love your patch! Perhaps something to improve: [auto build test WARNING on stm32/stm32-next] [also build test WARNING on soc/for-next v5.8-rc4 next-20200707] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Alexandre-Torgue/irqchip-stm32-exti-map-direct-event-to-irq-parent/20200706-161327 base: https://git.kernel.org/pub/scm/linux/kernel/git/atorgue/stm32.git stm32-next config: arm-randconfig-s031-20200707 (attached as .config) compiler: arm-linux-gnueabi-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 # apt-get install sparse # sparse version: v0.6.2-31-gabbfd661-dirty # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=arm If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): In file included from include/linux/build_bug.h:5, from include/linux/bits.h:23, from include/linux/bitops.h:5, from drivers/irqchip/irq-stm32-exti.c:8: drivers/irqchip/irq-stm32-exti.c: In function 'stm32_exti_h_domain_alloc': drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned expression >= 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >= 0) { | ^~ include/linux/compiler.h:58:52: note: in definition of macro '__trace_if_var' 58 | #define __trace_if_var(cond) (__builtin_constant_p(cond) ? (cond) : __trace_if_value(cond)) | ^~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >= 0) { | ^~ drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned expression >= 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >= 0) { | ^~ include/linux/compiler.h:58:61: note: in definition of macro '__trace_if_var' 58 | #define __trace_if_var(cond) (__builtin_constant_p(cond) ? (cond) : __trace_if_value(cond)) | ^~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >= 0) { | ^~ drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned expression >= 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >= 0) { | ^~ include/linux/compiler.h:69:3: note: in definition of macro '__trace_if_value' 69 | (cond) ? \ | ^~~~ include/linux/compiler.h:56:28: note: in expansion of macro '__trace_if_var' 56 | #define if(cond, ...) if ( __trace_if_var( !!(cond , ## __VA_ARGS__) ) ) | ^~~~~~~~~~~~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >= 0) { | ^~ vim +/if +683 drivers/irqchip/irq-stm32-exti.c 659 660 static int stm32_exti_h_domain_alloc(struct irq_domain *dm, 661 unsigned int virq, 662 unsigned int nr_irqs, void *data) 663 { 664 struct stm32_exti_host_data *host_data = dm->host_data; 665 struct stm32_exti_chip_data *chip_data; 666 const struct stm32_desc_irq *desc; 667 struct irq_fwspec *fwspec = data; 668 struct irq_fwspec p_fwspec; 669 irq_hw_number_t hwirq; 670 int bank; 671 672 hwirq = fwspec->param[0]; 673 bank = hwirq / IRQS_PER_BANK; 674 chip_data = &host_data->chips_data[bank]; 675 676 677 desc = stm32_exti_get_desc(host_data->drv_data, hwirq); 678 if (!desc) 679 return -EINVAL; 680 681 irq_domain_set_hwirq_and_chip(dm, virq, hwirq, desc->chip, 682 chip_data); > 683 if (desc->irq_parent >= 0) { 684 p_fwspec.fwnode = dm->parent->fwnode; 685 p_fwspec.param_count = 3; 686 p_fwspec.param[0] = GIC_SPI; 687 p_fwspec.param[1] = desc->irq_parent; 688 p_fwspec.param[2] = IRQ_TYPE_LEVEL_HIGH; 689 690 return irq_domain_alloc_irqs_parent(dm, virq, 1, &p_fwspec); 691 } 692 693 return 0; 694 } 695 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --AqsLC8rIMeq19msA Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICEU3BV8AAy5jb25maWcAjBzZcuM28j1fwUpedh8mo8OW5dryA0iCEiKS4ACgJPsFpXg0 s671tbKdzfz9NgAeAAgqSaUqUXcTR6NvNPzLT79E6OP95enw/nB/eHz8EX0/Ph9Ph/fj1+jb w+PxX1FKo5KKCKdE/ArE+cPzx5+fD6en6PLX5a+TT6f7abQ5np6Pj1Hy8vzt4fsHfPzw8vzT Lz8ltMzISiaJ3GLGCS2lwHtx8zN8/OlRDfPp+/PH8fD7w6fv9/fRP1ZJ8s/o+tf5r5OfrU8J l4C4+dGCVv1wN9eT+WTSIvK0g8/mFxP9TzdOjspVh55Yw68Rl4gXckUF7SexEKTMSYl7FGFf 5I6yTQ+Ja5KnghRYChTnWHLKBGCBAb9EK83Mx+jt+P7x2rMkZnSDSwkc4UVljV0SIXG5lYjB fkhBxM18BqO0q6JFRWACgbmIHt6i55d3NXDHAJqgvN3jzz+HwBLV9jb1yiVHubDo12iL5Qaz EudydUes5dmY/K5AYcz+buwLOoa46BHuxN3WrVntnfv4/d05LKzgPPoiwNUUZ6jOhT4bi0st eE25KFGBb37+x/PL8/GfHQHfIWcH/JZvSZUEF1BRTvay+FLjGgeWsEMiWUuNtUdMGOVcFrig 7FYiIVCyDnxcc5yT2P4O1aDKAUp9JojBVJoCFgyCk7eSDHIfvX38/vbj7f341EvyCpeYkUSr RcVobGmKjeJruhvHyBxvcR7G4yzDiSBqaVkmC8Q3thSxFGg4MFsyzHGZhsdI1rYYK0hKC0TK EEyuCWaKC7fDsQpOFOUoYjDsGpUpKGwzsvOpIs8oS3AqxZphlJJy1WN5hRjHzRfdydl7SnFc rzLuytPx+Wv08s07qxBHCpBd0iyPDfejrdm2lwAPnYBN2cCRlYL3SC05ymoKkmyUhUNpgrg4 +7VDpsVMPDwdT28hSVvfyQq+pylJbJ6UVGEI7COoWhodxKzJaq2kRm+WhRk5WI2lswzjohIw QRmeuSXY0rwuBWK3AZVraHoetR8lFL4ZgJVhb/iUVPVncXj7T/QOS4wOsNy398P7W3S4v3/5 eH5/eP7ec04fCHwgUaLHNZLWLXRLmPDQ6qwCy1WSo0XDGah1JjxVFiDBYJQAL+wpfJzczoM8 E6DeXCDBQ7zixGIIKFxrglPCld9N9YTNwf0N9mg2sqSO+FDWBPBbAm54MA4Qfki8B6m0joo7 FHogD6T2qD9tFCKAGoDqFIfggqEED9cELMxzFS4UtHQxJQZ7w/EqiXNi66bCZaiktY44BkAw 0Ci7mS5sTEypP4IGwbnk6PbmEqKv7lz11DSJlZgFjtbbjFTmUBaxfaDuQXUCuTH/Y5nVTXdg NLHBaxgT1LwH5VQFQBk4IJKJm9mkP2lSig1ERRn2aKZz35TxZA381AatVUx+/+/j14/H4yn6 djy8f5yObxrcbCOA7WLOFaN1xW21Ad+erIKKEueb5oMAOw3CLK7fb4YIk0FMkoEhBlewI6lY WycqRsgNtCIpHwBZaoeFDTADJbiz3UwDT/GWJHgABhlp7Ic3IWZZYAxwg44/gGAMvCeYmhBn 1jjZVBQOWFl+QZk1uzlLFSDrkb3YDViUYjACCRI4DYzMtND3xhDOB7ano0Zm8U7/RgWMxmkN zt+KKFk6iHoBFANoFhQBQI6Gw4AbCYX1V+EwWKNCITCotfJIjaL18WciKfikgtxhFcno86Gs QGUSCmJ9ag7/YzEfQg1hRRo6Fq1JOl1YPK2s4/fNrker4xsIfZlzjCssVAApm8AmsEpz0oPA JzORkuUOdMRuIgfbSSjT4f+WZWF5LiOu7S7yDBjLnLA+RhD4ZXVweVkNGbS1LPUTFNEasKL2 ujlZlSjPLAHUS85Se0IdimUhoeZrsEBO6kDCokOorGGvYVuF0i2BLTVMDaklzBIjxohtIzaK 9rbgQ4h0jqaDar4pNVTJgsPQKjtz4kpIdBxhc6mLZfuVwRBlMjgsCNK/BAaFr3Ca2kZTC7TS EOnHzRoIq5DbAlZIneC2SqYTRyO1L2nKLdXx9O3l9HR4vj9G+I/jM4Q3CLxMogIciFr7aMad thtcm87B9ME4+G/OaMWUhZnQBLJeeN1aBFpUSEAKsHGUNEdxUIx4XschGc1pbAk8fA2Hxla4 DQ8t3LrOMsjGKgRYvVcEHsDWVpqR3IlpdUii/QW3gxG3qtMLTWFLUKEFiCun4+SEIIqS11VF GeQ/qAJGgbFCTWxvS4tICl9+IKZR7rEHQ3pDqBoKMmMrxYUAMNmYeKqZyo57kg24siHC0EOM n+VoxYf4TilUrLCyp8vAFmLE8lv4LY3J8AKl9Q5DuhVKBlFOYgZOtQkbO4I7yKukE03o+TvO 1brawF2OV7pSUq2BxSqrGU7nWN9qZQp2uvrAb2ZNAKdDzEj8eD32KlQUtbeQAhguWQkemsBq Cjjh5Tk82t9ML1wC5aIqOHnlNB0jq7A45mg6nYQNqiaoruf7/Tg+A6cdM5KuwtmppgHRmc/O jEH21cW5OVK6PTN6tQ8HJxrJRkph5pDV1s/snc+T2dmFUWD+dGA3i4/H94fXx2P0+nh4V4YM UI/H+6Za3abVYM5Ox+jb4enh8YdDMDg8uV34QmHAV2HwwmA6M3JuPc73riybEl2iLIZffkF5 5RSrDZCJClu5UIE6oL9+xCuMneDAEGuwXF2GfLdNsBjIMRLX0/FzipPiDBIzsMbj+KTkoAH7 wJqMcJIVSWhuW3ijOPvbklqM45c6E5FFlgy1UNPOx6Yw6IvgBJdtQoj//PH88hbxl8Ryyarc 0nw9m06sxYCBb+AX05njFzvM5exyEnKEFsEiOOTlRXiqy4tZGL6cWHAD0yvnNZy3XWxVZgy0 tuC19p7Gjh6e3j6ev4M6PT29PEcvr0qu31pFi19g9R6sevkfJMYQXhy+H58gunAS5/Bo3nmp mh54p8240KwJJ+PYYn/GKkEUgFdMxQzjNBt8C2nlSEXQTIFTAu5uMyZTkL3qSMDVQA1dBEft 8cvRMUkeY8hsfbPUgGUxnWwH7q1qD7I4nP44PkL0t0fTxfLz9XTyGbCziDyB7VLndGhP0V5R zOiu1LzwLE8GSi2GG0QMnHAuf1OmhI3ZGTWvTANfF9Uc4MHY9e8u31ZNReAzZAvhsrcVDZOo vA3CbTfQ2NwCpUjOryZDC9uiLsfPuKVZhkyeQ3G9H5tgH6oXaQLly70tl1UyDEwU8Grc6lIT h5paPonUz1Zns74eptEa1wAj3no+Uy5rhqQ6iMIcC1Nk40HuaKr5bGOS21GSucxnEtV7yXFS M4iMVUjdlIHC1f+R9Tt805P3lVx7459R8TmFfxmKMh1OeEGEovHFTC90wHQFvQhuTFlrhQ25 ZoVDxRycpGvdUXExgMEir2xYv8Aqry1vqberLCEDQIkTyN+6zN3e++zz/PNFxF+P9w/fHu7t sw9OIMVtRSAXcBelkg1NInnKEt8bKizDKNc3Ek2eOYj5mgMECXMD+pZvM+P7BvycXczHnKw+ IkD7nwmynAYVQ/OsgoxMJZ5JHLes0mvLj98P9z+iqg0B08P7Abzj4fS1XbGryHr2y+kV3hZj qmyEvYIsjTI0sAQl3RAky+U+tD/zqeI2RJhKn9q7Ilclxk7XHuZSYgbeEsnlZLqcXgdGGeqH Kxz7EvHB8ul+OTuTGoAU0X2Cg6UekzsQXUU2fOUs4g8siw7vj4e3xefX08PTgZDPSP28Ckqv H93miC/GptLYq4EyV4wUKFzT1fgvCT0TFbP0XFal1GE8tlDoLcE7zy+1YEg6e4wFVM5jOp07 wf0AfRVig0N1bbe6DL4vqsFRdzRVrPBj4u6QXS3GNlfFaDmO800fA2/TtA0Mcs/F2dwT8ont 7FzmzsBZcBR2ZWYEmmTVKnzMJtKuMDoThHJBRqVfFPOZxwUNK6rp5VBUIZ7fnwmXBSpX4YKw QatweWwldUmqtVPxNeDlpZ101Hv4aRxUHMKYGmYN2ezNzJt9i/cVePdQ5dHghTugBu6K5dVl ALgcAO88B3q3n10vriazAQ/vbstQiVgfJGVO2U/DIE71IKp5Cwmi7x9MonR6uT++vb2cPKem QtfqNysfbQCxC7HLFub3xgNcub/Fui5imaBKlctc1Hz2x2II2QxA3ogoZkJifyEN1KOtNNin baAebQICjQe0DTRMS+z+Cw2n1e1gCJHHYZg3qGkbJKk3JGjXENJUFb0jDTubwhxCUJgbHHbi 98L0daiGy15Od1VTbfZOMYb/QkJPUOnCDUzGeGmLtcIQw72m9yJU3Qei1CHypgTlTEkiwliw cImwb2dVqxeGlTBUaheqv7VrOxt1kSPXOK+cK7ltyq22Q1pDjGgOPgjUlzzOVjU0w6p3hZaQ QISckKpsmwK9Ic9ne8taODBvYAWVVRHqiajy+XTShlCXy+V8cW1/76CvZlfX01AG4FJdzq+v rIW5yMX1xfR6uEKBakZ5OFoxFK0hHxHNfNqyVvVQyIUroy72ZmHj0gKpywTVgAEH4MqIvl7B aHtr2kRcn9XcEISE2vgLlJNVCS4+hZ33OLIrCltblOFs2XNxdTFzZ28Q89liOpkHURfT6fVs EkbNJ9dXXppX9Kc5uVpej7CzO8uL+WxkRYsL8ERB1NWVW+pzUPPJyIDL6XI+u5TLS8iVRihm 07Fxl7PLhStXNvISJHd6fqd62ml4bIUK816PPLNzDvtax1QgP1Rj3+vry+ndzkqtbcN2J/YQ 9hf2RewwudXGgLshLQ9GsE3TbSG53cTVQU0cpcoaAaTYOaX6bcGrnAg5D1/D92jViHGWZLYK rLRFTu0bNJXR0izjWNxM/mya7ic2MyueEE9BSyZXFaE308msuxFb36lLRJzeWE1jABu7BQLU 7AzqchQ1n4SyXkCYUNCbO0yrW9vsLepLR5ISu4aKUUzsASn8bm68xwJSFTqsaY7bnu6CpnZT tDFuOFc1l6bpO0SRgXdXVhOXvsVUn+u24hC6b/6uslJuwULazQvg4ZxrXQWo/CCC79pG58o2 uSaERqUwVTKUy3W9whA7uYoLe6nV5Xxu90boBml1eaqvgymEAOxm2vUnajNeqC4Dwdxme9VA pnpNd0SsdRddFeq+5ThRJ2KLM0PuXVsLCbS9+s0RfREkcL/RrosrdbE2LtDK68loe8z01GAW BKuTkMjc6a4sRgvzqGby52SIiTm3EdqgVOrmBoZPhXcAai0K2kipb7I9tEyKVD2MkZmeCGbM qWqwHDHmY1/D0p2LpAau2uKs5xl7HL6WSRjia5nWQcuqOvnknWoISlPmmHH7aLpbX3P5VNiX Tx0uOx3/+3F8vv8Rvd0fHk1vtRMNZ8xtA7L7kANfdwOTr49e+kZSPxRWELmiW6k24ja0OWhQ hFAc6dAITNuEA06lW0KUnh7+MC1DzpkDfrSxvjXuf0nU3smFCC0ynfi3NJ5P724eG5wzfnvZ El5Icw7h3dqnZI7ChgwkQrMne3w5qP7x6PXl4fk9Oj59PB7sDgL0Hj0eD28gYc/HHhs9fQDo 92Nzw3/82p/6NrMsEPz4w4powOY5d4HNSyVl9zUuuNfRFQYvWS0j1Ycq5n535NlEDIvQ/Uqh hMO5MKoKE3CHjjzc+ATQJN84v9vWHeNbLOew+yIruoPUDWcZSYjyA4Oer+H3jv3VhYTCd5Jm 96rHk5NB1hG8/26uljvO2N925zLKeSNXD6en/x1Oti5as/KkIKr9S9CE5u6CDEozont+5CgI T6r+21BTKWHFDjGsHGXh+lFwPlz5ogzcXqp3FiqniZoxAlEL3Uu2E44ErChdge1ppxjRfW1H Mqss3UfFRWI//nThqnSQ0C1mt61RE8fvp0P0rWXlV81Ku41ghKBTHf8QPHvIbivhFDydR56H 0/2/H95BvSEM+PT1+AqDjigYNb2GIX7oLbZ4R/dNw1tQKX8DFwj+Icah89Uj9jpSlzpuUr3u OkjyC7AQoqh3oRDlQPyws9v8zKNNv+/OQBkWQQSkGkG40xPdB5+6B3FN6cZDqloA/BZkVVP7 OrJ7iAH7117OvKUbEmikao6GqE/Ula+6EHpDrClIdts25g8JNhhXfj9/h1RX1CYqD25Lr6oJ 5uRuTQR2399oqvkshvwK0ikpvEEYXnGJytQ0djYHBzbU56FqR/ZA652MYXLz6sHD6d5fNXYI rutpZj4VYYW21YtdKNwnVSLNM8b2UXJgiCYGBwuRCzvJHYObzFqtSlk07NYAm2fbLlq/0HMS cQc9pjBK2iA61RK5cZqCNXrk0ZxHdfbBnKYAV96mZjghmf0azGREXGukeijABmxWm9UYddVb OA8qeg47jageAd6DwPkqE/hqOTzd9vWdoFVKd6X5IEe3tPalTNfTGw0Quf1mKFc9vjHwF3yD /ZiIqlfpZNW42fkAYZofrYFMUmH0R/Hb2wzVTych82ziJ7YbdDoMKYbBRK/sgqnKdWi0Myj/ 8ybjDX0eQnWf6/ZmyG1Mc3Qn1qo/xm6650M/Bc7y0++Ht+PX6D8mZ309vXx78BMaRdZs4Fyp QpM1fqp5ktE3yJ+ZyZEN9dccqrxemcDOWkIHDoa4f9PjtlOp9nj1VMb2Qvq5CFdvHm6mnsbZ K2lOwhQiVIob7s8yVHV5jqKxgmEP3ozAWdL9qQa3h2FAScJlvgatVMK//fRp1BuInSwIhKql 9XBOkkIX0IOf1iWYI1DC2yKmeZgERLho6TbqaU7ozqSxbfp9bA7+3nbJcfOesvu5gRiWEzCA X2pse832lV3MV0Gg+cMHHty0cRIRfK3XoKSYOuXAlkBVoUIPpfRzzKakoV0e87/exeGSqxlZ XUr4b/nt3QMnaYVC6qjQ5k+USFzq+NSxjEG0zODkldltw+bqcHp/0GmqKo/bL4cQxET6E5Ru 1cM+p+CMEsrKniZcASD7v6CgPPurMQow+X9FIxAjYZpW5FDS4y0vy1PKHUTPep6qFGMzCKx7 RYJ4cA/pYHxuYk5zpPKj/XIRWkANQ+j0q5vKseppcXZXfEWCg+aghfsQhtdleLcb1SL6F1zG 2Xkeqz9ysliGprW0w5q6zYw9+bOlt4As375CaGAq/iLUBetM3vyxEtq/tLYbk79IQs073xSi EfcP+1jIzW1sx5wtOM6+2Kt2J+n8Iy+nzuEa7eOQOmj/YFs2974SCYjhEgmZcsDpQxArVaqb o6pS1loVNVUOoC22VTDvnlo3bw+O9x/vh98fj/qPOUX69d67xZGYlFkhVBDpCH4HlVlakSRw 0oBLnOfT6pdOFLrIUH0+eHXfDM0T5vRd9G/LDF7dYgRWpMAhI9hjYaTVtlJ/RKnSf15JGDPn DwROL7QrtYkm2emOeYyHpjf++PRy+mEVCYc1/7NXNu1tTYHKGjmK31/VGFyocGM+dkcDSUl1 Kcd9Edi8TsCVftLqiqG516uEjiAhp+E3Fz1DILL2om196cewElonnwErzbxyXgyBaOJWMXio bbUVGZ1EgFHV4n1zMbnuGgL0H66oVJ8G5Fwbp8aU5Bhck+oiCNqsjEEmpwoZ4SuEItShdldR u8x2F9dWfnQ3zyAPsX7z4cPdFta9MSyM3gbX0BGrP30SWE1bw9BPLMEaMewcrSlt/J+zJ1uO HMfxfb8iYx42uiOmt/NwpjMf+oFJSZks67KovOpF4bazpxxTY1fYrunav1+A1EFSoNSzDz4E gPcFgACIg9KXVaOCYSQfR06GflRqTIy0YrHdh7zaAp+wT1jh+NA0zhTe+d4NVBvLJ71+/Pn6 9k9URRM6MDSIDqnm4oFoH4+o4zTrqWCBYHR3lh6+9BzhNYP0eAhAvdF7h6iP0E1qKUWuHfow bBGZFRA07FJVKOsiKte8ylNzFNV3Fex57hSGYLxgoydwTVCwgsZju0QuhpA73LnD5EDZrmuK qjykqc2YyEsKu0N2JzwqSZ3wWNLmo4iNssMQriuWLgCHpWJ7Pw6kGT9S5Li1eUa7a64JxAnn gEqeN2A7+0OQ+yeooijYaYQCsTAusiyyCz3RoXT4d9fONko339Dww9ZULrXqmxr/298ev//+ /Pg3O/ckWDpyZjvrjit7mh5X9VxH47zIM1WBSAcBkSXeyHhkZWz9amhoV4NjuyIG165DInLa l05hj6T5tEJJUfZaDbBqVVB9r9ApXlKoQ7m85GEvtZ5pA1XVXuJ1bEnPSlCEqvf9eBnuVlV8 GitPkcH+T1+462HO4+GMYAwGRKYcJpYvGQbWRNVv//xxaPL9RSn64AhLvOcqEGv1MS1Y5wNI 2HsC7qmnwIhInt24CDw6EV/oR+DgSHg895TQ9+mvEfpaBfcNaekFaxBt8BWztFpP57N7Eh2E PA3pMy6OuceFpWQxPXbnOe3cCCINHfEj32e+4ldxdsoZLaSKMAyxTUvaYw77Q8lzdJM5ZWMd pOhqBoI8SGC//csYDBg+ppQjtGojBzlEnkTJ6b3sKDESokfThqtIpHf+QyLJPScjtjCVdJF7 6Wd/dE2DkG4MUsQLjMCJm7yP6r4o/QWk3ON8XQfzQpq88MQYMmh4zKQU1JarTtZztT3IS2WH QtreW+wLBgX6ZIdBNXnWycf1/cPRi6va3ZVOaER7nRUZHJpZKnpO4jX/3MveQZi8sjFoLClY 4OsXzzLwKBxZBB3kjb4RVXecEtBOogAxVlrSAo92uMz6cTZaxMv1+vQ++XhFw5frC4rQTyg+ T+B4UQSWy7iCoEyCeoC9MvpTMcIMi9CTACi970Z3gvT5w1HZGGy2/u7UR9bwbfK+vYrRz4Jm a3iY76tY0HtYGnlC/ko4uHwxS5E/jWgcdfA2m5QsXdcGWDIVOkNa4xYxEaMqidLqlPsSJN9m 73FvC+tF08h3wfXfz48egxWWbN340JYaT1+oWCD3o2/xYwD7wTMR2QvcBkClqNgerC7YgzQV H3QaJKGHCBDMwx8onMyppYKoKk8sVk/DSi/59mS3I5GiByADDCPu/iCKO+kU5zW8Ut1UHrZ2 Hqx0ujnkLLEhmvFQRltuWSI7ekqC3dwlzhm9dRtjYkwcY6C4FyP3eet7D9+Tx9eXj7fXrxhm 88mdnKo361gOVr2iEn7PSJtvRGOg715I1RbRzUZ7zM8YUIySqzHlcQG8bmKPNN7KwfnKejlp ME4E3yQyXFYpsKpoL9sWG+a9fTy4vj//4+WE9lDYq8qLXroeEyqX4OQUGpya4hxorhW7BJSu X4MMKVkdOzFml7CAVZ+7C87AeFOHTVyM9Z07Cm58JBNKV7VBeqvaC+2iklH+UzSFk3PLOwyN k9ZSv/4Oq+D5K6Kv7jh2uj0/lT7WH56uGPlPobslZnrR2PXmLAhT3OWb0fU30SL1NHO8/PY+ id4D2v0hfHlStrH2rhCmQWMkZc2jBl6HQPXc0ypKOB/dxxmsSrUFt1V5//P54/HL6I4lTzV3 XobcujkbzMKsHWcFLfEULBcOb9lZNT4/1sf7JOv5MmhbE+1xaehrTTD6xuytVxOOZZJHjsuD hgHffEjpKQJMYRqweCDSuiqzNWRV71r0GtQad359hZn01rUkOlXaecFgTxqQUqwH6IPYIcNz CTtxU5rRvC6V4YxKZWqgzcv4jkVrKWk7DtdctW5Ry61rA62jfZ/VcGfK6sPEemR/NEoICkFz ijU6PBahM5oIx0VQpwW5OfGFCVRkTAVWrYmVrejAFYiyuDuUmfPUBDrgb0270CLcWXck+rsS c96DARcnesDTrAdKEvO+ucnQfNKhyRCNpVFg6mM4N/gutGmVe5hBQe3iavUjICO1JSqTWHL4 PSu09W58Uvy5w5hz2x9PAW7Q88JhbQyUii/Ky8KUpgueyHJb7YTE+B1Gq7Q7RrIdDBrkoDKe zyU345cKFI7Qet/KpwTu8ZRIG4I8v3VdpM9KAJehk74JCdEFs24qvRdVIyIYzp5NBxqynq4/ aTa6S235GL+rBEPJw9RltDZU0WBImlGiw/Y8RJOUFE8dlEbXZNYdfxZhX5Wet4QAi5fJaJ5l ZlBfQZKou2z7yQIEl5QlwqpAY7Zgwaw1BN/6uq37xvhfxRFWiXXXrRGokbNg2kbiYs5jFemu ddHXRsl1ZNvuCNEgoidq0y9j6te2YOkhjvGjw/CgyJI+ITI4UkL1S4HhVq3YbJ8LRgmFTdKD 1eQGGmdZTkPV3bl+O2Tt4rXzQp220xLV2KDY0uxB29ytz/ANsfK87teoYETl0alR17B7TsLE KZ2PuvnvFh32K6reeHCkK4n+2jjyqMAgaqm1PfVg9VpWDLaskGrEtHLwmIR9CQihlW0M03ba 0bRFVoT6QoephxY6jQ9i9qeENKpSyIiB/M1lL5FHvaRwzkWLhWLFzlxmBrByp4iJGyxOk/Su dxoNp9l5Wix5fn80DqluNIPlfHmugOumFiRwLMnF3jTyPTA85tIrRZQ4Q6JAt+ezcbBDf24W c3kzNWBw5MaZVOEBYdMR3HJcgUMsNngAlgdys57Oma1fEzKeb6ZTKmqsRjkR58JUZoWsSsAt 6ciuNcV2P7s1A3g0cFWPzdQwmtgnfLVYWrGIAjlbranwJdJapvhVocOtow5qZKAytCVfreCo ZBCFlEEV2llVRSmNuuXHnKXmscDnufFiXhgCb5dQMqXGwFqfU49U1Ng43DF+MWtYIxJ2Xq09 4TVrks2Cn6koZjVaBGW13uzz0GxNjQvD2XR6Y/IPTjvaxm5vZ1NnampY85JJHwgssjzo55/k b62n24+H94l4ef94+/4vFYn//QtIAk+Tj7eHl3cscvL1+eU6eYI19vwN/zW7EtkmWkr9f+Tb n8qxkAvktYm+rNVYINHl3dNyLx/XrxNgFSb/PXm7flVvT/YicxzhdLOZucwy0xvKpB0svjeW r5qbLOb4dInJFLdz1lFFsi1LWcWEWaq1hXWU6PoTmI9GBl3sLvQORj/g6yR4ffzeBqD99fnp ij//8/b+oS5Jvly/fvv1+eWP18nrywQy0FK9wc0DrDqD2KBsCq2y6sCN0gbCIZk7hrTK6D3A UKhWIByA7AL3uyJoBvLklqm4hUB/sG2GXk1Fkbkvr/UTQBEeuwZsKb7nIjJeUjciSKDeTIja dYMd+fjl+RtQNdPj19+//+OP5x9m17asWxeev18vJb9FbTBJVMUYuRPBZYy01szS3zjbYIJX OspFr8AsirYZK8heraXjAS4GrW5WZhgdpx09E2vEsZCvHH61RcVitjxTR1zLbibB6ubcz7Qs RBSHZKb7vFysaMOchuQTLPDCY5zeDpoQlMa9bXG5nt3OyclZrucz+mE6i4S+gmx5Prm+vZnR B01bxYDPp9C16NA2UNWWLFUxO3vZyOPpjvKuafFCJGwXkknj9ZzPplTQsI6Eb6bhakWNYQJs TB9+FAxyPZ+pYefrFZ9OvTOwWUXo6FNvqP0FpLyAYLczFCtM4CZUmibmSGV/2e+IKIizLahi 6/ImH//77Tr5CU64f/598vHw7fr3CQ9+gcP85/5SltZ65PtCQwcESeCwjEO+SbAjYNwSEVSt W+6UVpMiCfyP6lKPUYkiibPdzrGZMtGSo0lLHQmv652yYQDenQGRuWiHwC4o4hrhr4pQv3tE VvYYUbE/wgoei61kFEKfVXZZUsVXkqUnEpemKXKjLU3oMKf5/2V35ql5vdaQABBDi18ap0L0 qMfGetXk5912ockGRhmIbsaItul5PkCzDec9pDNXF6cKVvNZLbNeRfe5x6pMYSHphn6do0H3 R45xZjrXaxjjdekWVPBba5+pAXjsSOUnUD8u2L1m2VDocPLqtaEqkRjMy7AwaYj0y9hDYStq Qs2g94JtWVj1aDFRSBGqu4uyvOiX4nx9hfQbt7Gb0cZu/kpjN3+1sZvBxm4GG7v5zxq7uXEa i4D+S4/6NDj6QinX6ENCTXBdFJpNwyLsZcpQu02pePUmDCXOLWV9AkKnOongnKZfzm0pWvnU RfRXA0h8CxI6x51M2UfB2T6br6lUFt7pE52DdwtM8CL73j1CD5Hcc3cZaqDNPTaIKjhx2ANp pErVY67bpBwNLgfwTdZ+Cu0S7G5YIEJ7t/7kYl5j6K5IbZOOFki67NoMx3kx28zc/opc+x0T WveUXdouIDWa+vDM+1MXA5TYl7kOls3sSIe6TWXo3anlJVku+BpW4NztnhaDIkSt2kfnRCWQ zny0jecBhr7rdMAOFU5fRbG6ceva0SQDLc0Lp7YA0XdpBNwOcKLA98AlwUDD8ul3133M+ueq Nfx8sVn+6O8rWPPNLaW+UvhU5ot5L9UpuJ1taJlDF+Y1WdScbqIOUF+ZebLWbLmdSqvMve3b O70VqIcJ+osF4Pu8kqeB2u+rMKG1yg2exQeH0TAZM0dYsJQwOV4M9HcJS5OBuo+eQQ/CLC2F 99pBGTJS/aSK7l5R4obByp/PH1+A/uUXGUWTl4eP539fJ8/4hOYfD4/mGyWYBdtb+yeCkmyL MTfiPEEbZwHHybSXhGo1goNkPbNfaUMoD49koP69YSxnwu6zQtw7tYK9hc9Wc0uy19VBrk6l o0cZaaSI57S5vsJGtOVtQt8G1RcRvPeuT42PDtJxX9eqoTAMJ7PF5mbyU/T8dj3Bz8+UHhoY pRCv94kOa1BVmsmLpZ0cyrtJnYalZuSMMz+tG2LJ8Fka+Hxe1O0IicF67Q4+K6Dw/sBi8XnA OdJ39YNXPiGjvVgSxtHFhNbe5V7U8ezDoKbLY0yyBd71ENDGLDuPMw3UT3pii0K74D+Z+Wy0 y209XvQUPND1B3h1VGNaZBLkVzrzo3ON2SH0RabPKyaNE194jML15NEWns/vH2/Pv39HZbnU ZmTMCKlj2KJ1xoZ/MUmrcy/3GEqotKf0McTHiaoFzyzH3vKS7zP6ErRLxAKWN2ZwTfM0CK8V iohemmYGu9BeUGE5W8x83q9NohgEUQGF2FoZ2H4z8o0RK2npxPEELiQVHhcMfUFSyrFGJOyz aa9joewwLUmwns1m7t14Z/uAU2NBXQ2aecL+kJaC0QXaj3OFGGqlMSweyRZnRybtozf2eZbF nqdEAeGJPwsYXzePjfehcF7P0pAq3a7XpJW4kXhbZCxw5vb2hj7gtjzBXc0THig9e95e8M2f Uuyy1KPEhsw8fKQylnItYMyElLxuNxhNeK32phRLYaSpbX4tQZqR7ndWoqM4JOQs5PswlrZT Tw2qSnritGi6v1o0PXAd+hiNVFoUhe2AwuV682NkEnGMbmqtK2fMiSQqJoc1a3chBilqt2Ga aUg2U084/SAlYzQYZQb2Vqzd5+OxhR/U/kVdQfGcdhuVGHo2JXlsIz90S3FulcL5aN3Dz+4b XxpSpTlqUFI4KVR8eXd99nOKWAGHkGV4EJUwnX0vGETlro/tZ6vj51rjeRzpCXzhFk8l68DZ i/NyH8yrnc+zG1NVUehH59Mb7wmyTyW6GNNMOiK9+xsgqUtEszkHdgoFueDFer40NYUmKi1t lXxIdzWCpy7d1HPdvKNd/AB+9AQ8OPuSAMJTCGJ82d34agYIXxrXdriZf8lsSq83saOnwKdk ZOLVT/ha+/lxhU+NeidOckx8bq0Jssn0/UJyzHP6VJR3nufu5d1lhMFJoOoszeyXc+MzTHqa owbc0i9iAlaeBtHRaaQ+ghf2FL6T6/VyBmlpC+A7+Xm9vlFGK+M5Z+6+B22/haH6CyltlzUT e7Gd/fB7NvUMSBSymHSMMzJMWVkX1p0uGkRLP3K9cN4GJfIMgb12It/JuWcOHs9kpAU7uyJL M9vbM41GDr/UbpOooJz/7LhZLzbWtsXO6/XthradSMP53fisSI8iEBbnoDRbAW1RayTM7qzW AH02wqXoyE/Qyp1Ibe+RPcMXKenhvYTouBKJEekwD1OJ4ZDJKaqVumaJ9zFbnD3Ped7HXi4b 8jyHaeVD35OxeMyKHNDwLLEEhHvObuHwUa9Z0rlytDT0HdFFMjprisBqe7Ga3owsl/pBWTPV erbYeCKjIKrM6LVUrGcr6lEzqzD1MCo5cihOmmZRBkqyBHhE+7oHT1GPMbiZMjTDpZsIDNkZ wY8dONyjAgM4enHxMcUF8GXM3nj4Zj5dUA+gWansWx4hNx6eElCzzciAykTaWvqEbzwGTWEu vOyrSuZJh0UMI2/GdmmZcdij9duVXVLYKNkY9ytLdUhZ6coEFRLjs+Fgs8wszy9J6PG3wRkX 0kpPjsFJUs8ZJag3esxKXNIsd+6k8bbzHLusez9tGe4PpbUZa8hIKjuFqAIQsVO0+fbtNAaN l30r0V8fWCAM1CQ9oaBqGhrnaID79T7apxV8VsVeeFxEEQvMKUyrkgrxZ2R7Ep9TO96fhlSn pW8xtAT063JG5tpa3sy8tp9n54H+rmniGMbTRxMFAT3jgM/LaQyOXW05QusF9xdfVJM8pw8A 6cj9SnG8f33/+OX9+ek6Ochta2SHVNfrUx0RBjFNbBz29PDt4/rWN/87OdtnE5SmOgWUBhbJ O51xoo8xCmf74sDnwJUqYJc+bsrONDEDCJooQzlIYButD4FqhFoPqoDzxdrAMrSyp8evEDJZ UvfQZqadQEchQ2AXvX1aMDt+jIVreQoKadpumggzmIQJLz30ny+ByUqYKKXKDtO0NToNVWyi yekZwwv91A/F9DPGMEKL/Y8vDdVT/8W0k+82Kzmjgp3Ewby/8V/nqPslKehjRt3JEaF8OkFe Bh53Mkv6OCZVvrVDttVeGd++f3hNcUWamw99qM8qDgPbE0pBowg9N2PfYwSaCIN1+S7TNIUO iHyXeKa0JkoYxj13iVR7Du/Xt68PL0/dTbs1enX6DJ8tGKzHp+wyTBAex/C+zUXjWZ6o57w8 I+KLuqQT34WXnptAA4NdkD48DIJ8uZzTp5xNtF7/FSKK4e9IyrstXc/7cjb1vOFq0dyO0sxn qxGaoA6yV6zWtM1+Sxnf3Xl8ZFsSfNd2nEJNdk/8wZaw5Gx1M6MlepNofTMbGQq9JkbalqwX c3qLsmgWIzSwNd4ulpsRIk7vBB1BXszm9JVNS5OGp9Jz2d3RZAkLBK3mbIkwSCMq6kbqlJ/Z /PbHME0tiY4QldmJnRhtpNFRHdLR2QaCjcczqiUR93LlufPrOgB2S/qGq5tnybwqswPfOxGy CcpTfDNdjKy5cznaNlQ0Vh7TjI6I5SBnjjRvy+nzs5ttJT4dISjhyjgUurNOfVa5nBOgisW5 pODbS0CBUR8Ff/OcQoIsyPJSe337kSBSW36RHQm/5HawhQ6lIsX3oh11+DBGFskTttSoRIgs qUcJZpSmpo6gtFMdUZRx5Av5nmxt4kTw06ihgBiKAGT4OFTFDxDBDFk6VpkOBb+w3HMXkenn 2YC7dBxeHZKjPJ/PbCgT7+FRt7Ud8OGCOjoUqgb5GIzC7bkEUiQq5rQnxr0mwJ6VvAg9lyT1 +nEe2zBUluKmd0miZcaHtycV2Uj8mk1cpyNU4BvGh/iJv2svcguMYSjvzPsKDQb5zVq/GgrS LgEt2KmXq7bRIYgBlOg34zqZWCcpOCKJFVDj87psJ10W5xyQkjRbVxSao7DTHhSK7PMdS8K+ oUdt3EV1e+dgTcgDmoP+8vD28Igiey/iUFlaV+JH33sPm3WVl7bWS3tKKDDZkFgFVsdgUO6j a9pn7fr2/PC1H01Nbxk6kA23HkbSiPV8OSWB5tvsWeuMbw1XQzlbLZdTVh0ZgBxPPII6QuH9 ji6TaxNEX0G0HsKkSMIU+K0tnXtaqMsG470XE1vgg5VJOESin28PAzr7hKUXFTzK21FM5viu y9G98iBIVaSsOuwHmVcQ4oOeSDGSUyEZXd9Ixt7MPRbsZl9QgXyscsv5en2mi86saGUuBpdR BvPkfMh9FaSiSFIT5txvexaZxuI60M3ryy9ID9moVaQ0doQpdJ0D7rKQx3RGRy+xaWa9CnQo Y77Ty1U//hwmwjXYr+lUiE1/JbqrIhKup3p1M4yHpeAW2+D5gMVwQyqKSGaeiyRNAoPkbwJW IRZlv4sahLcPW4J22c8cCjssiQH05vlJJj3YsVwvHR8jE0F1kjMhqcWg1oGvGlJE4kjtkhox XqTkPD33C9XggV1Y8tlKyFvaz1WTAHe5Wpz7676G/x9jV7LlNq5kf8XL7kX14zwsekFRlMQy J4vU4NzoZNnZdp62nW5n+jz77xsBcMBwwfSiXKm4QcwIBIBAhLVOo5Lx95CR1T4a7BrHn4y+ 8RPrFfPINt44dP2rnEyvWYOPnU3lYSCTt7eqGytng1YanzOVDbmTWF9AcrpL5D4xy32ZM33h CEa5zrLW6+S1Eu0XZynU3O5cP0SfdjBUzJxw7RtK4ER/fRQL34uW0SLA1yffBS2CjPonw6su q03BVLIbvbCBGqamlukVIC+TXKMFZWiEZ4Ot7QlLc9v3lqPy9q61GQ2RF78BXgryx4JjUKNl vAhqr3rHP08OTDVanhsDjYemPSGNiHtNofqz4licEc6vp6XMF9pNOCKYn1SOr0XAOC67urwd WFtWlthkDH7LdpCbWqrAqKwRnTMgcDPImJzfZrxqFFdVuwwa9B4uYyxzqR0nEo/3w3Y1wiXi css146126g8Z/NuxtXxvffK4sEzz0wAm194GUFzfN22PELaHKApckqaznFktLDkbKdCFB514 lMrtImt3rc0Y5W0N9VUelUwbyfQUl9OLc//fXhhJ6apb7iFn/3WW1h1gsAT+SdnrvvoEVbFL GBlLLxd3qyuJEQ9bFspGe3Uj483p3A5QVSSu80BvK4/t9b1aqB3Rh8IsKhsZvn/XeYEdUZ0P sxW2eq+c200U7i8UkEf3rZMzdGPPvXShaO/jiS1T5Gdk9m0tLpG8HNzmyUWj5uEno6wNW5XM w4EOGo1tzBQHqUSsT7PTzPrnl5fH718efrGyUub558fvsATkR1icZrAkq6po9oWR6LQ2GFSR oUauhjzwHTVQ3Qh1eZaGATK9Ujl+mal2ZaM6Q56AY7HXs+JhFacvVjKrq2veVVu5h1fbTc1l 9CROZyGWPKbz03kIZF8+Pf14fPn89Vnrg2rfbkqti4nY5TtEzOQiawnPmc3HSuRUeen60W3a G1Y4Rv/89Pyy6gdfZFq6IVesdGLkA+JVJ9bbOIwMGj2PU4ll4uiUXj6ZJgr5GQtUUsNtZj19 FAjbWjZKkfEX756yD8NUqxYjRr5j0NJIG+ln+VXeSOi4Cdwy4X8/vzx8ffMP+bQWzfrmP76y 9v7y+83D138ePpIZzr9Grr/Y3p982P2n1vJ8gdemPsklc0Zui77cN9wTvyrXNbCvsrMdlc4k tCm1sMDjL85kKvpELuri7GkkvkBrTa9roBPtJlxXlM3fNifgfEKrygAnnaNA8VfEh4W4nlSJ Lb+L1GhqvF+iXDT5w2YiePLPkWtmEOamV2p4fAsfAHBPCr2fe4HrjCuF8tkI4QsAPmbrATqH FeBxZyRIWtYOWSctaKzWaTr+wtSbkQVTcPpsKOFGiPBLrYnA2XJvjKvOVt5vbB/DoH8J8XU/ Wq1BsTVkdJt5ns/X2pfPQqqPH0sTU7FJoTkmLkJBoFCJ6e7qpVGsi2IodvWmPqEHlxwyZycn jS5vzWlJHnGsL14WFlo3XmFhYgVuHmXdRfrOtxxBdPBwXAn3cOjVH4riI26iejmWjNI9/Eiq V73ALN98eST3ucs4oNRJV1ry61T/PezniuFhM3TEYeRFtDEvGIiHJZpXJb0qecs3UKBJJB5+ qaKUcEJGkTjn+YmCT9y/PP0wV/ShYyV6+vC/sDysGm6YJCzZNjeNzkZLvNH0lKy1rBFfJZO8 +48fH8lQj01InvHzf8keC8zyzNXTNbkpzMgI3HjISTkyWtkoiqbET1rc7sQ+Gy+GpCzYXzgL AUjbMhr8dmVxKpUZm2oCej/2FO1jRq6d5yBrrIlhm6VO5JlJgoV0guq88/zeSdTdg46aSHtt st4kg/BlI0I+peQD0oWurh0z/eqGDgy6NjEM9e4Kipxd4zjyHBPpsqqGZX6bOCEqQpsXVYsP TmeWy2ofa+qWSr/tQe9rjnrmHmzPoO3GuGd+DGo7YSloo2xzFYf7Bj2x00OTbug+c3EtCRlX NxOgn7CodKoMSEw9x1HIdeeGsYkNFOaQO1JE/b1y/TaxKCrFQkziENSW0ZPQQTmJpV61+dMH ghFnTgawtaDKgnSCiYPJ7UOT7TMkEeigITPpeR/ElQ9GAQcSGyC7GOZhXLgmmp/6oa2FOi7t yOg3WzMMAlPZ+4HibdyqsmYb29CdnWS2O23zMn1SHt+pkkhIZn1XwIvAnbiC5uKgEaSUU7mR pLMckDx8ffrx+83X++/f2TaMWwEBXZB/GQd2t3ecYQ4eqRA1WSIRbz2s1Oiaw5bL9pJ1WkuT QwP2P8d1NPq83oHtnGA4Wg2fRB9XF3zez1H+oPOMFUDR2Jsk6mO0Ggi4aO5cLzZKVXfkYtD+ mR5BlFMtJ9DCQqdyIldrG2VrJkZTVmfh1mPzoJVlucCmS06V2F510vs+V+c/J6/GmeQcZrBS Fb8rzvaRd3c1cszq7W2nW95Np1v2QT+fWnDqw6/vTA1Ek2HNDn1kaKzdsae4ovqcEBNTH8Gc 6pnVG+m6xYnKxE8R/ZVG7fJdEtrH59CVuZe4jr6309pGCJLd1mwzo8U8vX7ZsbxrG30kbrZs kfESjUpqYijJ68OQ3wpTiN7+zpq72zBURqNVXRLDU4YZDaPQ6ICtKdQkZc3sljiCgXREg0+6 nCbHrcbUYz/0UejBZXfBU9fTSjm8q69JpBOFjbRGZUu+7+pzmYih0vmgk+fwE6udvxmSq548 D95MzwBdvYw8KiuH5DsNDh23ue+5V7lQIHN1iO33x2KfDe3R7C6m9p/QNOUhGHnV3L/+/Tie YtT3zy9K1S4ueZweKApKNhxlWbgg294LEg8j7kVZkRZIX5SmAb99N3GMp3Lg235fQqEHKiJX sP9yrwR4YQmKExfy3VQr5Rf0XgkPN5Opvuq2RIWwyFR4LGEw1HRQrCSFw/Nx6ZKV0lneDqg8 +G2IyoP8CqkcCS5d6FwxECeODXBt9UkKBxuWq0xuvDZgxoEhaev0PuyWnZHiKTDu+F3Sqxci OiWQUIrs+bZtsKG6ztgPlvfBEp9Vu9OZ6M8B2/HIrNPxAUynGnIvDZHNkcxVD5HPxyZM411j ezUrMf1ZWedjZtwTUzxSjM56nBUTpHa3w0x30jg+FjzkhBoqakxFxZYTRzIbkEFrZftT11Xv zfYUdPNQEzHx6IdSPbaZwKUtIPd3rJCmzUW2zW+bbGCyVykFUwWS1AtvxnPKaQ7yJfdG0ZdP 0m5vJGt5iaV4pi5WBRTE2Mhhhsdi3ZKkq5MIHkvRqfCe5jNTz5RNwvRtfvEcNzTpJHoiB9MT G10RVQqCfWpNLFWxb2/F2eJacmTqN0gkTRVk6FIo4e9oIhopbd55Md6Azc1FZ5pXs5Y6Xfw2 O47oSXLbnYrqts9OFkdVU6psLLkx9pejsXhmkTjiuaCwoy5IOq4cEnGsItscsBHh++Z3x2vo mvx8wDu+CSwq51yxCSKd24tX2pkYksRMU1X7lyLwboU5DX4UIpMLqfhuEMaxmaow7m9Hlki+ w5c+5nq/DUl9VCbeYilS62eOzou8FH3LhmjghmtDlHOkoEgEeGFsSzX28VtkiSdMoKufearV Gz8ADcn3KU4KR8K4x0FjYRp2fJ6IVTZwURrHIQ3C9cKf8t51HItb26mC2zRNoYMKbZ3gP29n NTyRII43kgfgkqQRPvfB46Axouo2DtxATlJB0HBZGGrX8Vz8LUEo5JrKEdk/Rlc4CodvzdmN Y9jkEk/qQfm2cAzxVT7gk4HADliKxKAIW4dLHDGMlSsgPMxmHqbmrtamz+PI0lHX8rbLKJJ2 w/aU6Jpm5qTnKLn6wHBKXj10nenDtXNNMje6JB/MAOojHDGYQvp6SJ7ODNppzUQvw7f06Aal uYtdtjtD/oxljsTb7c1kd3Hox2EPgIFti09DNhQ9ynNfhW5iMd2WeDynx0+sRg6mCmVm3ozs wUyFOQ9+LCRYDuUhcn0wrEs6llbl0AwNSYyy+zsP1sY6U06OrueBvKqyKbQYjjM03cSsJCxE NRgDAoitgHqrq4ApHI1kbOnC5V3m8FxclsDzPAtgKX3gRdZyeNFaOUiHiJwIJMsRN0XJcijC RycyT4qWT4nBd2M0pCg8tRKgVQH81AIEcGxzyOJAReH5g8KmqLB55zuwsNWV4rztMjAzhjwK 4ZJa1RHeVCwM8asMa6sqg9E4r+MEFydZWzbICwpKLEGjtMbCoKrT9c5hDGvSgsGwDGno+ZYm ZlCAT81UnrV27PIk9iMwHggIPFjVZsjF8WXZD5YoSjNrPrAJho7tZI44Bg3NALbhBQKEgNQJ ANDlday+yhNAm+e3LsHSr80BkV/gpNJk6FR/HDOf7sJCVs681QG8YTvUbleYaZab+pbvdh3I rmz67nSkGHEQPfqhh5UfBiVOBGOUzRxdHwYO/rqvosT11+RKVXtsUwuVXL68xOtClvH4ibvW XKN8hzNBiHHnleXBc2xCmiEhltJMViIZQEgQBDi1JEqgDOquBVuH1sQQ26sFTuBB8c+w0I/i tb3CKd+mjv5Id4E86Mhy4rhuu8JFy/VdFbkOkg+XGq8J/WFwQ1QIBqxqtgz3f8H0ctA7i3m9 qUPXBVuQ14ZrUedu4PjoYwZ5bMu1/nFEh3egTHWfB3G9gqSghQW28VMobPv8EEbe+jaP8/jo 6mbmGIYeDvK+rqMItmK2zV0v2Sav7Iz7WLlRngHWSIlFGDUZtluUGZAYZ3TfQyrKkMdQMAyH OoeXxjND3bloieF0sBxzOpzdDAmc9cWYWCwe0CSW0HJNN7FM9wsrtTqXWZREGSrmeXA9d20S nofEw+cNl8SPY98SlFLiSVz8GHrhUGOoyoC3teWcrs1IzgDktKCTmBpNglHSFRPxFn8uMk/U gN0xg9jcPOwsSTOsOKztu3X7AJkun3pybSurDAIFRxvKXvUnNmFFXRz3RUP+dsYrpSVotKMz a1vfidzuTNrlWHInUrfhqEWrnTimcLD79kxhaLvbpYShzxD/LiuPwjHMaymTQyTyIApt2qYP jCQBPhcRw5us2fN/MLwUQzk77U4TFz4UJVP5VY5tcd4di3erPEtXn6psKPHb15GHTAyXGkym NtLQmlOdrLZR1lPh2smEQf1UWPqufDjaIRsDWtiqm/SsFjF7F4Af9g4Pv+6f35Tfnl9+/PzK 30nQ65uvyDnUUJLreTCFSpMmXpOjeh2zOPRwX4z3+q8XSfiwuv/6/PPbJ3t5RxtnuRCTnwXL pyLdoX788OPp4cvDh5cfT98eP6w0ST+YVV9o/Ap5p8ZeWMC6qG3ueoVHi7U2+oNCTuWRr4GN wgqDaZM+Pw4zkEs25Idtuzcp2nvGmdy0l+x9e1Ldxk+g8LPAn2LfioakIVr0ZnbyR8pfulB6 DkjPsDjmfXq5f/nw+ePTpzfdj4eXx68PTz9f3uyfWDN9e9LdVI/pMNVgzIZkkz1Bw+Hw0ont bpjTQzOfnz+D9hxnsAkIo7eFrNqKzUXn1uAU6jzPKiQ5yKrXiVLUk+JuHwOhA4DRF44J3JXl kQx4TKSuGP9WMr/h1wRd4qC2mF9iXFEmoyU2QHYDy8JxUZGVF5uoNXUM9d0FJMxfvAEyRVSC GR2bcIjcBGa0GJqIs5i10kzX5KCtsyt3o4RynxeulZRP9J4Fl70YTmtfjp68UJnoEcVtf91s cLE4vNokixeilQLwUVXnMI9sqLI+Xv1aPAAA41oITDhuuNRea5OBPOm6INVZ3MLSVmUdu45L swa2Rxn5jlP0GysDuVzKPCOByTT2r3/unx8+LjItv//xUVrkyB9oDmTCduiU6OusAF3b9+VG cwvVowczm7zOIDsBRiG5u4f/+fntAz1knNxsGqtxvdsa4cCJluVDkgYh8hvH4d6PZRcHE00+ xKGOkyzE1eSzwUtix3jeK7OQU5Yb+eJSnM8s0KHKZRMXArjjXed61bPbbNMwduvL2ZaXZuGz 0NRzW95a4/tpxUUJAbNVuZK1oNpd7FKK9DYJHkDOqPzWaSYmiJgabS3I2DxC9FuZ420/70Fa Wi3vDehrviR7ev10Bq2k8+NQIynLzc0Iu/BAhcBRca26rO/1dPfZUNCT3/62t/gN5h2VuxS4 baUmpuEOUQ9lFDA5YXH4Te8ZOt7C8ndEZfl0FX6IRC56yxxFlyJE8RtCJRA+2VUafy+R1+1W fYxF0NuitmVMMLcrhMe1C6p152SKqM8H3fhqpGpvYhdqaIxdQU/Q6eICy3dXMzUJTGqSOmZp yKATZJuk8C5zQRMtpSFSrrImmnqwyqlFs/PcTW0bZqQmqOmYVnsT5ZapEfhmutVI+pRv3MAx Ja9SRNad2FSSl096riGTh9CxRHPgcB4OIbyM4+jbxNEadNT09Gz6Il9bNfoyiKOrtq3iQB06 LiBpVoec/vZ9wkaup3PLjgzEs2Vj6cw2vgsad0YT6SNZtAmgO+a11vX8FdF08AB2sOKVUTlF oIGbKmIxFyD7rtiWplIuzZacaEN5y2rfD6+3oc+1gUl41flpYBsBs1Go8glLsqqRkyM+So2H V2Rw6DohXq2EpaLFr4wAY/s6Jxiskkgyg9Spnhsb7SRerUGy8lxNSsRsG6In0StFTuGtnwR7 IDdG1R3zjBhbGWB8yWk/pfndG6mGqTRPbQSzkzXm36WiiKLW+V40RZUpoSpYspfK9WIfTLKq 9kPfN0qR+2GSrjRiXEXRFb9KEd9HfhK/wpD6V6TQc1h70Ee08zXRNSbwSJ7rbvpTS4kIVFfS BL1Ab4JLHboW89kJtg6iS00LpdYDtbk8MlrgOAZNuYBYaGbR9UuJhYYGKi+BJf4GLS3toRbv US2xXmQmpt2iS0g1HS8xxDbb11Yd95CDIA70OsL3ugb7Tmuj6RaOhLDmIpCfH/UdWN1lJ4C2 XeGUCUuUjvRlHy0zSVhBI2BXXsn1flsNmexocWEgf6gn4Rq5PyntsvDQhQa/z5C5pBOUiY+p nHtN9iEeUktjlA/tbxP17lkCt6EPTfgllo3uk1zCxvlXbVskKk1G1uv0aMmSGt9qr6ej7bwl RNvYLoi0VTYxfUhLva/t5lQkgoVgiCcbc2uICxGhX2kakYwjjUkajFkT+mFo6WDLW9yFoeyr 1HcsX5NJkhe7+EXjwrZmTStxMaUohk3AEdig/IXNFRfO+h5eZbG1zKiBvPp9AkdHJVZTGxTF Ec512iq+0qLEFiY4hJ3CxXeYq3UwH/coWBIFsBYciizzftxhvpbvuOHEUAg7nEOxb4VS2Bvo mZKGJt6rrZl3LmsnZD0qMXVh4Nr6tkuSEFncqCyRZTzX3bs4tUSQlLjYTtvF5i0qkyUmocqU vjYQxc5jtU7dppQdfEmAsZmXsN3prlAs3iTsnCROZIcSO5RiSPVUsADvcvJM3lkc3C98fNO+ 2gjLHt6EmO6E6ObmW8KqPcXMhrURatWmbfvBpjMIlvOx2G1OyDBG5+wuUEUx1LQFoh3wZgM/ YrVyoswCJV4AF2IyvHQjHzYGbdQ8Hw8IsRv14Bibdrp2LLXIN466/rooMLe8BpasJM92nuvJ 665OJNXRcNkqqZ6qW0YJMF7ML5i+P1GR0NJKYqeDp4716CofT7WWzIjStEO5U2pE1K5UfDGN pFtxPPK43X/DnTK5iyZO0jMVH/s8Z3GloacqrhUzpCkt8N71MsajJqj7AOM5jyGN+hA5Z+Ec erCSE12Pnaq+SAjHx5mM5ZiVTX/Itu1FZ1Oqv1RduuSTALaBIWdnlttAwbjZHs/cLXpfVEVu 3gzWDx8f76dt1cvv77L3lbETsprug4x+EGjWZFW7vw1nGwPd4w5sD2XnOGbkZMcC9tujDZr8 qdlw7pZAbsPZ8ZZRZakpPjz9AMG+z+W2aLUbNNE6LX8gWcljfnveLOesSqZK4jzT8+PHh6eg evz289cUa13P9RxUkjxdaOqZg0SnXi9Yr3elDmfb87wdnoeKgMRmuC4bHru+2RdIW+DJH7xI ek7CSXVRe+QqQzTQkjJhuyrrDxQY/Zazv6yp7i7N5H1jbDLUNEpHzY7yjYbT+4a6xN5zTBa+ O9FgES0mbsy/PNw/P1BJ+Sj5fP/C/ew+cO+8H80iHB/+7+fD88ubTLhcZkK6OJZ10bChL3vi tRadM20fPz2+3H95M5ylKi0WEWxY6dZkEtTI3m44b3ZlHZ51A53buJEMbd83GV2V8u7u1c9E wIa+4H582Z6wp2eWe5XnVBXSOBrrBkovixjznH+cxnk5zVK0kHLhMFfjt0ofiiyMQ1URF9Kk DGLoaWSBXdX9zSxMOIRNMLi3dh02Eo5AeVhflPwvvMwulYHPjsa0syyOnehgNsIuSpSDDE4W x8qaBGB6pKet2wsdCBpOZzO7lZ9QLci2FvOo3MP06qyqWiyjhm6vSYqlC0T4HRzzlBhnaWPy /T9lV9bcOI6k/4qfdntit6N5iIc2Yh8gkpJQ4tUkJVP1wvC63V2O8VFhu2em99cvEuCBI0HX PlSFlV8SZ2YicSUkGdWTk7PjFjoGGa/3lue82LizViCpOHycWTJR60oLs/5UC9YgkS3+gMwB as0fIgo3Rl5egaWbMMOK76Wpqilp693L/ePT093bX8gBHDHudx3h2/r8I/Lnb4+vbEi9f4XI d/958/3t9f7h/R1Co0ME8+fHf2mqL4rWXYytFBVPSbTxjcGPkbexfJ9sJrvbbdSbTcA0K9y4 Ae6QSSzoEozAi7b2N+r6qQCS1vfRSeUEB758fXuh5r5HkKLmF99zCE08H9uAEUxnVlN/Y7QL hFKOAjNNoPvblcpfai9qixqzl4KB+c3XYdftB8Ykm/wf63fe8U3azoy6h8MsWxiMe6ljygr7 4inJSWiVYL4NRG6w1kHgvtk8AGxifF9l4QgdzDIveGz2x0gGndahXRerl+xncoBt2M5oGOop nVpHi947Cmweh6zUIba6N7d65LqGGglyb2gXLJRGG31AmeljLQ0NrwN3YxcsjgemKl/qyHFM xb/1Yvkq80Tdbh2kXznd3poAm7W/1L0volBIQgeyfKeIOiLBkRsZjZb0XiAslerVoqL98GIT bZ46GqFKwmNE87nMozFgZNzyoY8efZDwrSEMQA7UaDcKYJ0VT1xbP97a7R45xTEimcc29hyk kecGlRr58ZnZqH88wJWTG3jjCWntc52GG8d3saOkMsdoS5QszeSX8fEXwXL/yniYkYTtzKkE hjWMAu/YGpbWmoI4bJM2Nx9/vrBJhZYs+DJwcXvq6ekgjcYvhv/H9/sHNvK/PLzCi2QPT9/N 9OZmj3zHEIEi8JSIGYKKTFWZ01TQmqaOp8yT7fmLnrp7fni7Y13ywkaZ+eU/rWhsskBLWCDI jUwLSuoaQ440CAzjSgvWahtTnDkd2yJY4CDGP4vwXf6FAQ1qNsO+u0UK6QeIDlcXNlHH1/UW BnSjY4FjxOPhdDzy1MwQfZJxEKJxtiTY8Jk4NTKpoXYKc+FeMXwcRrPYItTICxCbxuiRZx/a GByaTipQI7S80WdtFmu+gcGwXW/UbWgOtNXF9WNMVC9tGHprolp028JBo0hIuOm7A1l5a3Am 1yJym07uHAcluy6W9sXBRh8O+PiBoYXDRQ8tjHajcXynTnyjAcuqKh13gvRUg6LK0Wkjh5sv waZEitsGp5DYRx8OG3aXUTdZckBmPwwJdgTbP5Jtop5e1sXZSXHJcdPLrXLOaOZMcRrUg9hD GoecIh+N+SLg9HYbYaaX0WMnGi76+8BjIZWS8LLtn+7ev0kjheFzwHax3dOBQ3ih0e2MGm5C uXXUbMSAXFN9BF0GXx3T1q7P5fJgbfLn+8fr8+P/PsDSGh+xjek454d3Bmv1oo2Mwvw49vAL CSpb7CnnQnVQ9nPNDOSzIRq6jdVoUArMV7/wHXGTDz3pLnEVnaccFdKx0FI/jvlWzFOD9mio ix40lZl+7VzlfRgZ6xPPUU7lKVig7CKr2MaKFX3OPgxaa6E5HmELrwpbstm0sTrHUnBwLkPc JTAFBA2RIrPtE8dxLVLEMW8Fs3TemLVnq0IGjfhpuZhXZ2vpOG7akKVhbkOJ/M9k66gBo1TN 9dwAP8Qhs9Fu69quNklsDTO4tkuCSuf7jttgA4Mis4WbuqxlN5ZW5/iO1XyjDBaIzZKN2fvD TXrZ3ezfXl8+2Cfv09OJ/Ljn+webcd+9/Xbz0/vdB5sNPH48/O3md4l1LAYs47bdzom3ylrK SIZITJa14ba7OFtHCp80E2XtHImh6yKsoeLF8P0WpkzqTT5OjeO09bUYSVhV7/m7j/9x8/Hw xiZ3H2+Pd09qpZVk06Y/WSo3meHES1Ot2BTU1ChhGcebCDvFsKD+NBYx0s/tj/RL0nsbV29N TpRPefAcOl/WaCB9zVnf+SFG3GpVCo7uRnUvpr70YszQTMKhxf6aP9riC6WSLKzKlFZhGC+d 2DeIrCZxqOfPB1c0biegl6x1+62e1GgWUvWU0QKJbjALwDLqdX6ixi5bejHEiBHWtWabMpFD L2bxLFs25Gk5MmVBugbeMCMutpi3NGjkykLa3fz0Y5rU1swrsXYqgIZOs7p6kdW4CNRD5NTX iEyJUz3tnE1yY5sMiIputJ4r+w4TZ6ZXAT7nmbTJR/1eXjK6g24odlqBR3Ki58WACABrdiMD HgplZNjiQ7BU8VgtDtlvHXUbF6hZ4lqOM01q6qP+o+i71GODp36YA6gbVz/j0XS5F/tGuwuy zZ5yGxzr33xNXTYWw957lRoDBYhzMg4QVnsL5iHWlUk0m+eiVM0oCOsXTTpEupblWb6+fXy7 IWzi93h/9/LL6fXt4e7lplsU65eED1tpd7GWjImn5ziazFZN4Hr6CApEV1eSXcJmYPpAkh/S zvf1REdqgFLVEG8CYF2xIimgsmjoPS575zjwtKIK2sAaQ89qRC4bNDzUlJk7WzDapv8fE7ZF Q0WOahXb7KnnmEF0eMbqAP9vn5dGFq4ErtdrDcOdiI0/P/g5HRWRErx5fXn6a/QUf6nzXE1V WbBdRjdWO2b3jdpJoLqaKqblWTKdwJnm6ze/v74J10bNlhlof9tfvxiSU+6O6DMGM6i5KYxW 62rIaZ6eNNzV2Di2tDmqBopcyDZjDvN5X9eJNj7khqIwYq/pFOl2zIX1TcMShoHmFdPeC5zg onU9TIw8wzsB0+1rhTpWzbn1icbYJlXnZRpnlmflfMs4eX1+fn2R7v/+lJWB43nu3+STVsby 1GTZna3uU9bKloRtxiJCq72+Pr3DS+xMkh6eXr/fvDz806Ya6bkorsMeORdoHrfgiR/e7r5/ gwvOyDPylwMZSIPf4qRFP9D6fPHtl+bTpjAUgzCavE42bT1JZLGi9nb3/HDzP3/+/jtr1lTf gtmzVi1SCNq/tCqj8aPBV5kk/U2b4pY02cCmlanyVSoHTGG/eQgxNtQh51EhX/ZvT/O8yRIT SKr6yvIgBkALcsh2OVU/aa8tnhYAaFoAyGnNbQ2lYv1AD+WQlWzijMUdnHJUDlpBA2T7rGmy dJDv/AMz63/lsWdoHJKccno4quWFd8tAYWrleBID4FU2KGpHebBGs2u/sXnpP+/ekCA80HK0 ac5qgnXh6b9ZE+4rZonh7n2ptyQTrCRPUq2pkusuazzH4sLBZy3NWSNii1a8N9tOzQbCyYEe tFpGrZvyACq2fMoLZZ2F59LQi9r5QNAv9k5k2+tvEy73m/wxjdD9HOjT6aVPmV0Qh4IJbVbS M+6LS3zXtqO/nrHD/QvTAc/DFhwIakTSTI2sqfRdd3U9PLq5QC2q4et954NpsDCTi/ZcyExc K/jIQZIkw5w04KCGCNF28NFJywTKj32ATGUVsxBUNWqna1NpCfvpHps0M+RSVWlVuRr/pYtD dPwHPW9ompW66p00VfVVu8h0U7fgIw2iexZDdlFDfiqgeKDeUv5uvIe8kG4LRgo0Ujewzmh0 c6gFRQEl2RXDoe822uVmMJ0kRlceoBDiYrcu3BkT7rIqbCrBfGYl0vZC44eYD9pYNWGmVRD7 NBapaWEqGGm1jtSVa7BqBamxOWZR1GBvlbvZE006846vDjO+veZSTNtb2JjPh4zd3f3fnx7/ +PbBJgrMmk8XKxCXhaHiDgCcX6VoIOLZFCqMS2Ms+BjxVK7mAorIGavpi8uEBhmJr7SA/J7h LR69dOGab2EhKYzR5Va/ZzxxrD5qqUDqfGcBV97XlKq9XObE2y30HWzM03i2WOnyOg6C3oIo F7Cl8pAyreSnzRdIuliJFHX1qb65vbSof5L4aBe+pLJeWAdFOXbNYmHapaErK6mUZZP0SVmi rZClsuv/ieJM3zNHD+KW6yf2cbfumPKX2BaVqw4Vqs/G1GJKoa3OpRxwHn4OcAlEjxylIhBL l6ksRd8nUxIs00ELMgKkOikMwpDlqUmkWbINYpWeFiQrDzD+GOkcb9OsVkkNuS2Ya6cSmWqL GCXVfp9XRMv4C+tEkzLQsj536rWwVjQKxBhXiQXt4cl0NdrfVKmqxa87TDhvMbxprZd5eKak h6E5bf/b99RUpzuEVZ4O46UlJO26qZJhryV6yZpd1WYc3BvVWVBadtgeFS+zGpNlJk1fY23U N+fS6kvzLuzygbklNOXB3bUyi4fp9XRbuPlVJta2LerzxnGHM5FnmryL69wflAkYz6U3aSTZ RgO/gqHVV78xwomwRKB9n1eVJsBFV5OLWZWGknw4u2GAv+IxVwcp3/gQNblkq+D0osDyIoLo HKoXhqRuHKOvlvAawR6PXksabAK9aB2lfY3R+KxW03RyjmNXT5bRPITm67Rbz6jC1873LXMV wHddHGFjLZdE4rhOqKeYFJQ1leWTqr8yl2YUH+UzgVjLkbQbL7Y8lCLgEHWDhcb0e80OpqTJ ifbaJiMf+Ds0lmRycsW+EUnhhwjnNNFntuY0N5rgi9BhSioFOkcHJEuOla9ZGVqm9FBhNIpS 0y84b48za2Q2CrjOydWLPJJtvZKVretHmoQKoplU6259u5ACHGLb4ADui1g3Bpw0XauE1TZt EDumfGYhFvFfX/79A1bO/3j4gBXQu99+YxOEx6ePnx9fbn5/fHuGtSOxtA6fjatI0rH0MT1N jZm/70bygYCZqAaCE83eZXnc2+RygrUcTlVzcD09i7zKTdkiWcsmTOhrOmJIJ+r9fKCWhYde 4hGmsj9qnk9D646mmt1tisz3DNLWMCmcGKAvJcKQUJU0udBdZgzS45qA5bsLJbGnHmWRyML2 Wj9lM+uq1XTp0quPmzLStdiLcYPL0jH9md9w0KWD6OJHRKfqRQOAe3pWTQAO5qJywiqT8Ol2 2Sdp1RArfQBP0eo8ABsf+FnGJO+yk1kZAYsgClidBN7SQ8FmAPirNirrheJRvlQumCb8AJtY 4/20doyY9aQ0FEHiYOMh/pifwaaLvY4Oqbq2ofHwk2mfZtRS3wk2ZkbLooLe25gLNE+mZuk1 c2syMzFWg1FwkIxAVPIKivg1k674zuaMfy2IhsfS2LSyrbQ6wasN05sxK5MnYJsmRoa/yTBS gIuITZWFqwZR79G8C3pqKj6D6Co94V1S8PcsqNcOt0fadrl96pMx1Sj51hHjNvyPBa0Tc7ur fU3GC6wwRO3fHh7e7++eHm6S+jwfRxy3FhfWMbIB8sl/qbar5ROnfCBtg9QfkJZQHCh+bXGA nJne9pbUWktqbZ3SPdZ5AGasEHaZEaWhyZ7meNrZWDsjbdiBhNKetd2V6fT7WtMrIu/BI+Sh 5zpjB8vDOG1Ot1WFSLeMjK/LMH9qSA3XWhTVPh5wUe1OzNdPLq15MIdAPcYFFF4T8vz0+sfj /c33p7sP9vtZDWsNHoOIUESxCNES3h/4xpnm/C5Yk6bGVHaBu4rBn2bQpQVsS7KBpdMNkcoE ZqfZkyRbYaLlCqg9C6XiYhkJ1ig+LTGX5PXEgIOiL9orfHVa4IkcekuBMF4IJNVVBAmvYOOF cbezuf1c2Dh3t3Vc5armDwiatl7SE55e29q9GFjtH3lsIyZLZstUDzXh07t3dgSzyQrOumFV 9WZG3q8rzTYzFqTfquEDDZamG28Xmtmd2Hw/5s7R6JKtlm6MD7ZSLHgfySwJUEUM8TVs0EN/ KSznlX7lTNWeiVudZxfVa1yJyu97N+zL8Z67EQBrTpgHGkSHLgEZZlr6CnqxMaYVC0O6b3WJ WA36jxZZz9uMsqcjzB4jXTGjeeoa026Foe5b+wxM4mOdQbCVQM7UaxuYCsBD0YCjtpLN+Eob 2v4jJgRLNvpGdiPnZwrXd/v6QNTMvvazr7FQdI4uRVxMCKxE4O8l/pYwqkjQqNn1nJdVV4rJ Bv7zcO5ojrQJYG6kL4AsSG9FwhVE3+2VcQhpsaq1nMl1mQm6/TE+/Omfme20cd0YKetps9F3 UEZ6oM+KRnooXyGQ6Rtj3VQggY++PCExBGgR8iQIPSSvXerFONANbYKo7/TqlUXfktYPcn2u uQBIRgJAmkcAgQ0IMWDj5Rs0cwYEqLUZIesJFpVvXc4ED36ZXOGJbCtfE0eIVnvjRagt48iP VaHvP5NuxuW7+jr+BGwQFeX0LUaHYExYQr3naGHLJyglkYeGgZsZCn0ZAajctbBIZNZGrm+s cI6It0GfIZ8ZYt9F5AzoHqJlgq4G5ZhXBboixIwiLcsKPCQHE+g5cvzQotZPuGXofSyVZYvK Dcf8IFob/jhP4CD6yZEwsia89fCLl2ruq6ogWDC3U2SOAW0Rb91wuE3SZf1vhWeMo2oy1Unh hjHSYwBEMSLwI4D3Pwe3yCLDCNgGOIDj0PYancTlO1hzjIC1TEy+Y2JHVkoVuN6/PjU5TLB9 9NWUmSFnow9qmJuOWaF4aNPbtc/ZpMM1Vu8nBL03LjNY5isMib1Pc470vdaZDJ+ikIuIEyfb v0AGAk7Gv2gPXa5eaV+mN2METYN+KIhY+7UguOzMaJOxP4ylY8ECx/EGwv7n0as/mdGNbrTF jGsu8ExuC0+5mSQDoYP4AiNgqVVbbALcprUd8T38ULPMYj0jIBgom+Ohk/eOtF6wsuM0coRI jQCI9H3NEQi0+7AyFLnr1eE8lhcXJB7mq9o2mzkHBJtUg/LN0J5s4wi/GDzzLIEbP7GBM6fv 9oigL7DXI6OZAuPCsbDYk0+T3t1gXdH6xPOiDEOEX2ZBsIkDj1OJucxw4tdFh3pA0IPMCgPq JgGCxn+UGFDLBnTMTeJxMy38foTTN+gYAciqwnEG3/ZptDaVAoYY0TZGjzF3SNBxyYFnyBxb MbaO/SjHxGK5TqmwrNkOYIjwQm8jvIu2MTo43rYEggWu5PWVL4hsw1rfmp78tihArQE8uBLY D9zMLPZTGSNLGK6JRAl3RjEVLbGDTjPgoRNyAa2av5qwSb5D1KtvyiqM8okYM2GZHF1gWWAV EGPnoSH1UUP5gs6OXykSRwJoai5DHtXIyeznsONrWVc2ZjVZeeiOaKszxobgiypnyMhsF0h6 2Q4W66bfH+7hpip8gKxMwRdk02WJtQisjo2+IyajtXYrQEXPsDVshXdZfqL4KTGAk2PWNNcV mLJfK3h11t4FU+CCJCTP7Z/XTZXSU3bFD7nyDIyNexW+8j1oK85691CVDW3t7ZcV7bDf2+E8 Syp8O4LDX1nxreghK3bUsmHE8X1jT/qQVw2tzvbKsZy76rwiVqervdq3JO8qfLMA4AvNbvkx IXvxrg0/T2tloAlJ7fnTzo59IbvG3ufdLS2PxJ7vKStbyjR+pWh5wg9u2PHM3md5VlYXPF4/ hys2H1/TdX7Pq2D9aq9/wfqmWSl+Qa789QwrQ5MJwbenQGEdtNrj0aA4RwXbuyuyXZzzjq7L X9nhp4kAq5ouO1nRmpQds0xMA+wdUWcdya+l3W7WzHbBBQornhO49sSE3K5jdUPZkG+FW0LX qoFsBap4nWVwJXolhS4jdhPB0CyHA96ZvQasAHW+YkUay5EvruNNlpWkXTHAbUGa7kt1Xc2i oysKw6xQm63oW3dkymxvgu7YnNtOnOK3Mp1hlB/qFn+/g5tDSotqxST1tCzsdfiaNdVqC3y9 pmyMX1HIlhmtqhmOZ/zmPh/o81rLYNoERfwPEbSDzTdVd2lOELbWNAdnTs/4bD7PJhEnfwje raqOCR3gxjhz7cRN9sV9A9y4kw9ENqoWlfIAGFDhPaCusRzFBIZzXlNwB60M7M/S9i4q4KRJ jsORtMNRvWLOMMsX0nlUYOKHLRY/b6bX3/56f7xn/ZDf/aXElZizEG/t6jnNcFnVPL8+yejF Wj+o2nCxtUBHjpfKmsPUgGi3r9RBKwFJDxk+cnTXeu19s4oJSHtLO8uYURT4o2dF21H5ntVE ma8LjS+UPL++/dV+PN7/HXudZPzkXLZkn7EREt5klpJsmS867PKK57OUqBU0uVhGZsfX94+b ZIkokmJPGo3Zd3RfsFRXqjl84YNzOfhxj1S5CbYeRhYniUdZnQQquwWFkuZg8Etcof0/1p5l uXEcyV/RsTtie0eiRD0Oc6BISmKbIFkEJbPqwnDbKpeibcsryzFV8/WLBEASCSRdNRt76Gor M/EkkEgk8kHBVE4uc/wSty7BTTEDJ7jdrbgSQBYw1+gNZCZn2mX51gHVajIIqomHH3YUPJuO PX9FPeooPJ/OZ35g13broSCfqudgMmqqcHooDm4t4dI7mFZU9Hj6BbXH00dMi5/PKC1Hh13h V8UOPiYVFhKtcsE6pYowWPlksDGJtt1cVUvFdDWjdTkdntTwaqzv13XP1m0cjk7Ugz+aMIEn 1UIau0RO/y0QeRS3wOXcXWhyjvzBmQX0fGqvWuXFDaryam9voi6bJqoGZ6eVsC7J5lDbYNZg Kv/VMKqpv7KXuPYcd5rISNsjiarCABKnWhVVaeivkOZZrS8nv7QBdnoDW8AM/ySBN1XkzVf2 aBI+nWzS6WRlt6gRSqVssRZp5PjX0+nl798mv8sTq9yuR/q69v7yICgIaWj0Wy9I/m4xpzWI 38zqAv8MgWmcOWVpLb7c0LSKG11pz6kQi9ieEHX6HU+/MatebNl0MnMDlcFwq8vp8dFltSA6 bZH3qAm2HawRLhcMfpdXTi9bfJRwymsX0exicRtYx0E10AYRiQjhw2I/gAlCcYlIqs8DaJKf dT1XnhkNFr/lVJ5erxCn8G10VfPZL6PseP16erpCHPbzy9fT4+g3mPbrHXi12Wuom94yyHgS Z8OTqJKm/mwaxe0XR7BA2Cyuovjw8zpA/Wkz4m46sZkpBLfhPFknqZri/pog/s2SdZBRqtBY 3GkawcXAyZyH5d5wcJYoR+wHqFm7pErjbRB+hi23oUVaSTXk3636IE35m7pwKq8oL4ayCm1/ WgA5aUg7bCSqlwFH3LiIAgU5uIm0nPxzFkKkMPpOudcF3d4pRMPyQ9wHRzO7AlgepxvIL0gm OVQkYi8WnCgq4TDdVUzb1FpD6tbIvoZYMWlg7MFdNJstzNDnCdtCZL4kaawAXrtqMr8hQ6+I jwcyZWkVEHsgTrWwCebvPNjSM6nLCkYOIRp+SkI5ARj4VgLGGOPmam6bPTz3YycaABWQW3kb Z0n5ibpRCooI0lQqClxbgJOlAUicKmHOqZmTbUGAIds7DRCCS9ROx8o9mWgXcGwzN72qwV+T Sl5ZVuYEqN/i82R7B2h5//dQveOJfmiaQ1QERNE1OMANqFA0ifTRHK6YMXxKGOA2NmFDbPSW 2upWsgkPZPaUXc6rJsmr1GCICliqkHoIZk2ehIFylmtVip6u7pYL9u5v56/X0e7H6/Hyx2H0 KBMMmzqeLmfWx6Rtm9sy/rw2hVkh3G5RT4UAE5uBUdRvO1pHB1XHreRTyZe4uVn/0xvPlh+Q CWnSpBwbW1cRs4SHH+Z/1XQJD36FDFbhL5AtPd9vOHVca4Ib9X/nMEkFhDx4uBDVl+2nTJJ8 9Ha9ezy9PNr6pOD+/vh0vJyfj9dWk9C6/GCMon65ezo/ymijOoCukFlEdU7Zj+jMmlr0X6c/ Hk6X4/1VppQz62yZd1QtkImpBnR2d7jln9WrU7m93t0LshdIsD0wpK61BcoSKX4vcPqdn1em Aw9Db7r4w/zHy/Xb8e2EZm+QRhIJefFf58vfcqQ//n28/NcoeX49PsiGQ7Lr4i6HMgX+Yg16 fVzFehElj5fHHyO5FmAVJSFSN0bxYunPyEN+uAKVlfX4dn6C+9ZP19TPKDulMrHY27lQoez8 LrumuMLd/f3+CvWIyo+jt9fj8f4bSpNEU1gMTOUjMU8mmdFPvvrgc6CHdw5h5DEis3dJX7xD 5GZv7XzJNFL2+O1839zjFFm2lqzYfe7LRvJX7aSW6r3neNHFAw9eHi7n0wPe5Apkz8U6V2YV 3ai3vAFnHQidS4uoWSKkRF4MvO+rS62Qmm+aOs1q+OP2C+mtqc8X+9LRgqEDZY6UJC2KNsFo sdZNsgObJtM9MC/WKFhXi5EvwS64DG6pHh2SdTmguOnGUybRNo7gq1I1DDxNtGhkf9X10QxK 2AJ18CkVEfru7e/jlYrSbGHaSuokbYI64ZY/8SaJ0wgqR7HLdgy0stAo15Y4PY8pw1rjBqJI GnUUZS6ukzG6Ht8U4WBQ30/pgMy/zdNok+AHcI1im6j18THFeLHA4i5xuyHquKTaPwh9hxZY FoxvXXAbrsACw+VBzWO/aTRKLt11QE1US3JYh1RJKXNtKPm0pVBPiTvzOt6h4JLt1Lrn6yLS d03yYSJNgyyvu+kznh+kQqzZ5VWRmpKghpu7PU+LsKnziZldcwdxMwTfMDqa3ogZg916sy9c QgiDIfiR8W7TcyEK1sfcVOfi07l7G1Lu0iUTB9jX4+UIh+yDOM0fXwy+nIS8Qn2DvC+mhR2A DnGtAwRyJPL8YmPGtxCV7XhEKdmMESnFKzaKxujVbCALq0FW3izJ5PQGCQ9xyEgTlfhT0vHI ojHjtmEUzuCIcQNPEJhoQXMMgyiMwnhB5vm2iKywriZWJihoQtpMyiAMpCEHTSXQn/IyoVQB Rg2dp9RAV4ogZcHgZaWjuqUivRgEeZ0FnPwoh9CnPxa4U7Ni4i9INGOFN4joTnyqr2shu9OB mA2iTVLHkXNvl1MegvEZyQeNTkhRrfPwGCIodgEneYrGc/gzSg4kCcSNsCQbdhBMWq0g6zXM wJiqbrNAGaOWtG4T4pQgJtfCVzWGR7nDU42PqeyRDI1s/TnLpWQG8Vpl+xlZskrgpcnMtgJQ 14d+d8uLJNPP6A5MRqdGasEeBS40tO2LQSN9+0kiHrNmD+YVjopWMWJ+fr/cEykL5JNIkxuu OQoizvS1sSag403E7BcUMQm8DNsF2n6CZAuWZ7nz3hLdNkGx/giKOtJJ/FYBY0nUDhJsRjMH eJvaIBVvfWA8mRhulIjlX+0dXLRWkQfKkBnIoEoDvhioTiyeqXfjgOXXRMNSxjnucA14Ex8q MOkOGKbYpvk6cEYJGFVMnNym14Pugl1SbPVdDNHI0QLWxHqzsLByh6I2FhbUJbMVMiO3e8WS dB0H+6qD93YiYPqhYqAk1XxGx1wnF3RXdyAqN8NQwhDZbm+20gpyACd3U5FOvXHDRD20wl4t v7puytuKSTq8UzwwhiPgEtTcyOQfMpCZ58+d1Y6LgVlLGVhAPcgGnkDMgelQI0VI2yAlgp/t 22cph0+Ux+fz9fh6Od+7XKKMwToQAhv3nbgVImrDpuIDK7DVCwkmvx/RkOrA6/PbI9G2vnT0 +kUAyNsFpWOUSBmRfgtP2wY7sTAAcKtVOnG636h/nX4B4iLdJmWXdkkszJeH29PlaOQAUggx H7/xH2/X4/MofxmF306vv4Pm5v709XRvWE0ZTKtg4kATXzvjOqa52WFM4HzPNhYSxEgi7MHg YA+D7GDKQxoqD/6A70srZ3YXCSpMsg1tDdoR0R1DVHFsULktsYGWWj0PMTw1blCGPdDDBo8e JawaO0z+buB+FlYlCqFpoHiW55ROTJMUXtCXbnvodkRlhric7x7uz89WF/v9Izq5FscLr2j+ R5ZXSti6+EcfNe7T+SLE7oFGPu2TULB0GeCQbOVndSn7gf9mtdOCrsDBSeSn97sn0Xd38LoU iXd45LZEr4595KyPVp304B2SAPmBggGzd+DQkpmPS4MLUx7oYfIAcl4SOzy1/qXfGW2VrsIe ycATZGC4XAVVBfeVlh/Vp6fTy3d6P+iwRodwby5cogTu3BfbUrxVS/8Sh+vUvgzUbJsy/tR2 Vf8cbc+C8OWMstIpVLPND60XXZ5FMQvMJAomkWCWMqJTZgboQwSg+MSh3U00mDPxIhgsHXCe HGK75w4Xh6+vP7bWK+oBG3iIsrBaCfE6dPH9JEGcLGxagxBtK1lOBh4laQu0ZjFJr5A3Q6HH daWuSHLU8ffr/flFn3Pu2BWxuDiFbaKI3jpFo8rkS57R7hWaZMOD1Yz0X9YE2vYJA1lQT2b+ YkG0KVDTqU+riHoSad033KikWM6mTsNKUUE0W1SZPyGdnTVBWS1XCzPNo4Zz5vtjj6ixtYb/ aCSCpov5RBtd56Vh0GLFz4TFWaSThdewgrRNFzebmJlxHaSUuy1YSIDs93JduOGleZlRugCx FtGTvJDI/amYCtM5W985TJha1/4Mss26cNFSbrSUmOsmAQuL/WZj3lN6WBOuSTDYg+cZmNJb xZSML6gwWNufCYGha6uXzmXwDPiTVG8bxXGdbQc4sLyOxMMV81siuZRNocu6kqT9Gt8uj6hO pzNDb6YBdtQZCV54A/Ef1iyYLHHuJhbMBp5E1iwUm2gwG10UeKY5VhRMUS5lFpQRzj+hQGQy Y8DgYAxymirVeDOF5yOi3E3NI+QfLwEDY7+pwz9vJshwn4VTz4y6xViwmPm+A8AvNACcYxtv AVrOSHt1gVn5/sRJXaThgyWQmT2rQ/GRqIS8AjP3fBx9oLpZTidkhAOBWQf+GAnO/xcbj3at KR+jbRGQeRCDaDFeTUofL8+Ft6IDFwjUfDxvEgjzK1h7GaTpQLh5Qbla0Y6SQZTAW2Mz0CN1 gQjMLHlBXXjj2oUtlxgWQkr38UQDe96fHeI0L8CYq4pD67XWOCGUlBsN+DjXiwm1FJSHAe5H WoXebDGxADgAhQQNmHvDaT2dU8ctvOfMcZxRFhZTweDJ0yxrvky6zln3SS4+H/kFWOHNvRUe URbsF8gDIYNUS4hEnfRqpfVQqV84gMhj674lhhcsaRK3hIQfBuACbOz/MvOr+cT6An1IYDlK tPfk4oLsFIM+F0pjozptZTNrMYOlZHBaO6K/gbF7UzGxMOkKpZI9HC8nqISEcsEkKV4DSCbE OWuzVLfpbDwdi+VjQecAbT9ZbwCzmU/GA53SV6S6LfKf2pLJxNijGGW9hoOkjHkYpDFRp1FC K3Jen8QFCh29OxbOPBwLu6dS/PDb8Vm6MnJpdWMe26CrboqdfilHrFCi4i+5xpHHdTw3z1j1 27IXCPnSPHiT4BNeIAXji7EVUQfCFkjlPd8WUzICTMHNg/HwZbmqzRlwRmzJVsg+gDs5wFV0 ldODLi4ttlSeA1M/QROYH5bxrgk1KUr5x4u2nFupizQrFCIHrpDG6RnW9nxqTUL6IbWoaPNB fzw3HgXE7+kSmRP6sxkSlwTEX03p80Tg5qv5YEjBqMgrIZANIPmMjkLG5t7UfCQR54E/WeDf S89YauJ0mC083+FFQUiAHHYn2IkA+/6CFgcUn3AG0RlIfjDpncXrw/vzc5vP3lwDDk4nHj/+ z/vx5f5HZ2/5b3DoiiL+jyJNu3Qc8kVkC9aMd9fz5R/R6e16Of31DvalZhsf0knC4tvd2/GP VJAdH0bp+fw6+k208/voa9ePN6MfZt3/ack+g+6HI0TL+fHH5fx2f349alNCYy2v2XaCksPK 33jDbOqAe0JiomH2rYUV++nYHw9I7nrzbT+XuboKOPtSoiDOQIvuuVG1nXr2BcdaRO5QFX86 3j1dvxk8vYVerqPy7nocsfPL6Xq2ZOJNPJuNye0V1NPxxIw3qSEo3BVZvYE0e6T68/58ejhd f7ifKWAeyv0d7Sos3e0ikGkHIo5U3PPonbmr9h4ZLTQR5wy+igiIHRSxHYrdbbVpxW65gkfl 8/Hu7f1yfD6K0/ldTAOa4zVL9HojerGpc75E8UZbiL3oblg9p8aRZAdYkHO5IJHewkTguvQ6 TDmbR5xOOPPB2JSrpczD239Fg9n/GTV8St4QgmhfixVkHiQprCn0G4ItGoAi4iuU/FJCVmhH 7yYLH+sJBITUDIaCv0/M2L8AMI8R8XtqRk0Pwckcm0EJyJy8C28LLyjG5t1AQcSAxmP0LJF8 4nNvAnk9qZXZHuk89VbjCXLHxzgyAK9ETbDp1p88gPx95KtoObY80Ns2BnOCp1WJ/csP4hvO Qo54heArOD+DhlEalSwPJijWa15U4psbTRSi/94Yw3gymaC48+L3DJ3vN9MpCvtXNftDwrEM oEH4PKhCPp1NZhZgYYY91JNUidn250helaAlNXGAWZi1CMDMx1GS99yfLD3qCecQZukMhQBW kCn61IeYybsMVYFE4Ujzh1TcGGmN2hfxFcSkT0j+gPe/csC6e3w5XpVuhuQMNxCqkpYQAUUr 3oOb8WpFchOt8WPB1kwe3gMtPViwFUwJqc/Cqe/NKD2eLO2o8ZwNIq5a/nI2GL1WU5Vsis5R DLf9gchJVNP7/nQ9vT4dvyNJXd4r9ui2gwj1QXX/dHohvkzH7Am8JGi96Ud/gI/Ky4MQXl+O uHWZ7arcFxWthFYidVooK6IPSGwC/FHAPptSQ3djoHuqz6oXIacI0ftB/Pf4/iT+fj2/naSP FbFOJXOeNUVOB5X6ldqQbPp6vorD80QoyX3PZAYRFztxipioP0NXHHGDGZv5SQDgmwF3qyK1 RbSBXpA9FBN3NQMnsGI1abn4QHWqiLohXI5vICoQst26GM/HbGtu08LDugL4jXdslO4EuzIf ccU139zBu8KcriQsJlpiNST1dDLxBzaoQAqOYOrPuT83lRPqt8VGBGy6IHjGcLjNyhc8mpZN C288p7r2pQiEVGJ4D2qAzS2cKe9lsxfwJyP2uovUH+/8/fQMIi4s7IfTm/IMdD6llC7U6d8r cJMoKCHMWdwcSO3reqJkrN6MLhmI/VduwFFxKOtPuSHvKrxe4XO+XvmI44pyxq6BU3OKpNBD 6k/Tce3O7odz8v/rD6jY7fH5FW7geBdhzjQOBKeNGfWUz9J6NZ6bcouCmEykYkJERaobCVmQ 4spnbgpc8rcXmVNEdbiT6irjaVT8EHsnwYAkqjBAhUCrTLcjAMNyKXLTOAegFUq2LeliM32c brK1hTRLQjgSHIHjwGIzlrL4OVpfTg+PhPECkFZC2JwtcfFNcBOj8ue7ywMV8+zAEqAXNxQk 8nQFh6wmoBCOpYOsasUP148JgE6IEIRV72LDaJmTdpeGUTjgRQFUvbcYKgwpTzfVUCG9nO1C 8lFmoIi2NrfMhgEjg1ItfQw0Ui6iJoYzEUqsNr/GRbQcM1ymiO0yVRKHwVAJgdyVVgwsCb+l 3q81BoLV4CEqc3UM+9I5dkGkjftvp1c3MLjA4GSU0uLbDJahASCHNBnYDVjwg2f6XiZgHJ81 6yC7QTaULfGUgjVJxYfgOGIfNu1H4UGCtID4FIq79PcGsfIS8tiHPNIBrkIuK2dGlMeAAwZ7 vaBK0rhRKf3MilwcTN3MmHQVwmIdmMs3KKsEnHaAgSH3F7Xo4royZgLqMBIxRthrVL1oAs2A O61+3JU9ydlazFxpMnRnwXTNFkF40yDTG+k4LWTOMPHwBadMxOwnRR6i/EtdfFEhKcWV4RTb kxCYXjSQOG3+qh/JKIWGJFOZv7e3dtVyekigDrQflGsbnaEs3wrWuotZvQPXwME+KeNEuybK jUxhIKVMG24NIVznIgxvtum+O4mK3ecRf//rTdpe9tu/zWWufLFdYMOSIpEu98Y6BTDM1XIN 5mMegWm2dTqMg5y+GtmzPAc9hZ0fUzywI5UpiQURXRFgZfeB5KPEtOuQNTd5pjoFFQw0CvHa s1Cc+nlZKktLAunOVYvh4puUwQAuSA85RsGhmbB6yT5Bv6yJTOo4Rd8Gj1+ayEHu7rFMQ7+j o5TbpPuKXLYm2bLWFVr9Uf55xWQy/gAvWKI1fEi37C0z1uy4eeQglLuMAKWmBA0lFGd/MRja V3YjKIpdDodExObzMaUcA7I8jNMc3k3LKOZ2K0YcioHiHUXMmDWoPkYFZAWErIaD1UsKGPvP WpGEEU/chddbvas9QqFkQOLBTtAxn4FEnx9RoaJv2DW0rmCwQiXB4DdpLY2tvY5oOo5mz8cg FaV2RTTulKhDFnz9d5+dGYnYcjKvB+ZDig36tLKjWkjcYLcFby+SIrbUAu29E7HsrqtglR6a 7rpJJOSMJPszNv3umGmQKn5gMQoAadHZHhTHCyRDl9faZ/WA50qKMg5dmGg3BmQCLMAzcHlk e2J2NIH//TtdlA5YJi2L2Z6emA+62x2FptuSmP/ZP4mIMG1bWVTmA7He7WgxUWC42WXiKoYE dwlwQzViLFhs8cg0ae45xmZvOlp38LwqiGaUG13OYupm1WfP1nVasiGrFca1cLkdXS9391I1 5MbF5+Q1TslZlREYsIXYYe46uJVxyEaLixlZrBjwe+kIiFtu+3rrDqxtFqR0fGuQTpVFKcRX xw6oo5KyPduWLXl4oAMhSDoV9WYYH21ou9ENp87kKu4kO/Gn67eTF4rC/NnwHWuyPYOcHeCf shWH28TQ4Rj1dHwCcpgIabWWUqb9/kC5jbE9WNptFyuPdtoA/MCVBFBdJAP3EcPpXMHEuMy8 lkmOcw6L3w0VUainSBNmJQowllMp/s7+t7JnWW4bV3Z/v8Ll1blVeUmxE3uRBUSCEiOSoPmw bG9Yiq3EqokfJdnnzNyvv90AQeLRkHMWM466myAAAo3uRj8sphqJtmhMgdu8sohMidC+7ojs sByMa7jggbXS5N1Fy+I4UCYgF3VDrm7HWqScg7aY+kueH2akVMSiBe9Woor7xLZm5y4Z2nEb 0Fxr1EhrMlkR4FI3VQGop9OO5HuA+dwlVnCbBODdSgrLJcqcdiSy5lFbpQ0ljAPJidvgCdrE ukRUsiMOynmXg9JvcnpxEkyq+30WG2/AX27oSoLR3XKebe0whfkEHDlN3yXCpP9u9ptcDt8D E2URBIeBDzesSbFEgvXiq1Af50k9dTopIgWjVasmONwizYbG9KxNvSmQIOwk3Uj/RHfFmqby GqI+ukYZH93EwBeLln6nZGyNFeun2pEZOpXsldoZzPV7UB3CO6GUNGaGFiZapRMnSkzBVL0N 4HzkdKDJCfFWdlKMgUTH7usAPsFUqlF1XfZjoMBwxs3tD1OjlYven0lNJGYO5s9KFUbbtMc3 sOAjF61orANbAjCnrwzcl9wbQzIoLaACbE+/YlWhZsJpKGwqv0jyprukfcwUjlLYZKtRY1rB 2kYktc3FFMxefJKp2SnJHKFN822Vq9fZm/CJMnbt7B11Xq9v7zfW0Z3UkmGRp0tPrcjj9yB0 fowvY3nAeOdLWotz0K6tcXwXWWpbKG+ALMA02jjx+InuB/1udY0t6o8Jaz7yK/x/0dC9SyQr seThGp6k2cvlQG08rRPzYpFPlKK+nXz+SuFTgSkoahj28Xb/dHZ2ev5+ckwRtk1yZm5+96UK QjT7+vLzbGixaDzmKUEh7i+R1cqUtg7OoNIU95vXu6ejn9TMYj4Pq98SgLZLc+FLIE4bVtBL G1E5KNB3srjiBh9a8qowm9WXW1qaykt71BLwxrmpaOSpQUmiXGVJ5CAHmdIf/hknWWuj/pQY awvzMiPXVfnkyXOQNyCKLU0qQ8N0+AH+vpw6vy23MwVxB24iT7492OT1itHCqCLvaG5XCdEg RfBJZF198YKYzLegifADg/IWF85A47RmMziw2rg0aiWY76Czn8pYPDibhHEBhYee+xOnwnqh G5FVt0VVRu7vbg4SszGFPTR8ZkS8XND8JUoTqyn8LaUdsjiNxGKS9xWccFJ+4WPyc7uNFWeY 7Q7vWehSYpKqLbH8bBgf2h8SqSVe+xEJpY1dI76L27zsgnVtFeEb/RMxCwmdzBM5B9R5GRBG zULM8ENzW4p1I1rz/u7ELGhuYb6GMWaOTwtzZibrdjDTIMZy/HRwlEOHTfIl+Movk3DDZNkp h+RzsOGTAw3T/p8O0Zc/ISJ9jE2S889fgh05P6WdIZwG3pyG85Pz0DSYBdsRAxIRLrXuLPDA ZBpcHoCa2ChZZYRu3/usGhEajMZ/ptsLDOOUBn+hwV9p8HmorxPKxG8RBLo18bbLUqRnHcXn BmRrN5WzCO2uZhlPDY541phXWSMcdJK2EgSmEqCCk21dV2mWUa3NGc/sCkgDpuKBeruaIoUu 0vWKBoqiTRuqcTnmlFGKrCZp2mqZ2jUSEYUiLtmrOAsYr3FpGxZ8BegKzNiTpTeysvZQ5ccU xyybl4qs3Ny+7tB9byxCNEiW1wbbx19dxS9ajhVGXNsNCBR1CtIZKI9AiIVKAm6eWG6Xx97p pmV5pVH3BNbLu3gBaj1XVcMdlNSE08hFaSMGFsyp5f1/U6WmxdK3cmiILTMPDfXSKG0u1UQl a2ipIgERDVX5WrQVqX1Lc1MkVf0cvueQs+4QWr7u2/HH/Y/t48fX/Wb38HS3eX+/+f282R0T vathHb4xgEbk4jpgE9Y0rCwZ9IKOZR2oMsHiMqXvsAaia5ZTRVLGHrMEPTfSmPwkUlYVqwID tQKm6rlrvhyAXZ3OCwa7MpDYhewYv7RuteBnh5IgiE5t696TmTRxrERGsupWr76OS9aMuIWh fTvG4NO7p/88vvtn/bB+9/tpffe8fXy3X//cQDvbu3fbx5fNL9zJ7348/zxWm3u52T1ufh/d r3d3G+nOPG7y/xnr0B5tH7cYxrb9v3Uf8jrMU4q+N+jTVIjCYDgSIc1eMP1GhTyfIgGOaxOM txf0yzU63Pch7ttlXYMEjkwEDxNlkdn98/zydHT7tNscPe2O1NYYB6mI0YLHSrNIkQme+nDO YhLok9bLKC0XVmJbG+E/srDLiI1An7SyKi0NMJJwkNu9jgd7wkKdX5alT700b5x0C2jj9Unh rGRzot0ebrk/9aiWvm6xHxz0Ylngzmt+nkymZ3mbeYiizWig33X5h/j6bbOAA4zoOHYl3HGV RVKv1vL1x+/t7fu/Nv8c3cqF+2u3fr7/xzRF6g9K15ZSyNhfPzyKCFi8IDrMoyo+1DowqUs+ PT2dnOtus9eXe4x1uV2/bO6O+KPsO0b7/Gf7cn/E9vun261ExeuXtbf5oigHRd/5UhLm9ixa gOjBpp9KkV1jOGS4j4zP03oyPSOGV/OLlCqBOYx+wYB/XeqxzWTcP56re7/nM39So2Tmwxp/ qUfE+uSR/2xWrTyYSGbEwEroTnhcV01NPAMC1KoiHbD1JljoyfaXPJaYa9rcHwamd9Tzt1jv 70PTlzN//hYU8Iqa6UtFqeO0NvsX/w1V9HlKfCME+y+5IjnvLGNLPqUmXGHoeir6Pc3kU2wm +dPre+FUS9ff8M2Vnccn3m7J41OirTyFpSx9Ien7cs1J8nhChkkbeNMQMoKnp18o8OepT10v 2IQCUk0A+HRCHQGAoDRbjc0/U880IIPMBGXl1/x5Xk3O/dWwKlUnFO/dPt9bTiQDm/E3McC6 hpAlinaWUluQVVGgaoleZWLlFizyGCPDSjvpIabNUHNzjLgGjlpACCeLoPSnDDH4RP71RYMF uyFEppplNSNWi+bz/gMq+7TP0qsStM9Da+PEa6vhzIetRJISPKCHjxOoVsXTwzOGF+pMMe70 JBlrKE1Pc/YbQYzl7IS0b+tH/HEAbOGzuJtaCikqAm/9ePf0cFS8PvzY7HQKG0vWH9ZonXZR SUmVcTWbO/VGTQzJtRWGZnQSF9Em9JHCa/J7iqWpOfqTltdEsyglgnqaHrDuO4RaDv8j4ioQ lOnSoS4QHhn2Dctju0rK7+2P3RqUot3T68v2kTgws3RGshwJBzbiHQyI6E8pv9SvT0Pi1GY8 +LgioVGDsGi04M6bTXhg+QMdxXUQrk9OkIyxOsT5IZJDYzHEHbKbfyyCInXghFv4Ih2WLluk SdF9PT+9OowltT6kEHapIhuBffFFtQHLOHU2DeiYLGtsUPW+6qGu1ad0z2RO9jBGAg6gQ8xl IAjd8BuEKnwzJcTEEau0J+o1Co/f+dMJ7dZpEOcM1niWdRGv36Q9UEvUoBqqalNNKE9LEEIP t6HIDkylbuc6UMzMoGQJv6LTC5tzVjUlj/xtgbgoqkzvXPOpPBMY+zi/ykLfYqQIfnhWX+c5 R1OwNB5jjMf4NgNZtrOsp6nbWU82OgGefjqHr1j1lmcedgctl1F9Jt2KkQybU6QD68ckUj+l 5ryXpf6wtJ+KFr+939z+tX38NR4DygfCtKPbVcF9fP3t+NjB8qsGHbLHznvPexSq4M7Jp/Mv lg1WFDGrrt3u0PZe1TKcM9EyS+uGJtaeTH8wJ7rLs7TAPkjXtURPahY8SLFOO6u6ihVz8xzB yE1rJmcp6A0YqmrMjo79A5WiiMrrLqlE7kSbmyQZLwLYAiMRm9S8V49EFdtHI4wo5+iTPuOk 0VjdhZjRo0NsYpQOLsh6YWNgKfqTRHl5FS2Uk0fFLb00wlCUxpLdo8kXm8LXZqMubdrOfsrW reGneRtlw2GP8dm1Y6YxMCHNSJKwasXcahoWBXxFkhNF9i175GhgI9i4eYXj3LcmRMZ9tGs+ gDUWi5wc/A3KBiAAZtbuA31gcIm1oTGn4CckNSgDNJxsBdUEglyCKfqrmy62g+IUpLs6o/0O erQMzSrJHMGKIGX2N+nBWPj0QLOAbhawRQ7RYBXqAy+eRd+J9waMtuOUdPMbM+Jd7z15J8Is 1z1WYykm2K2XHPpbMePCEUO9U6ECpQxQnBuydIEZzgHSSRmusVYMgqFLGatgZ4sFt0Nvh2jy mjdtKYlFWRN40IQreYvmkSCgEIVuG3PZlza24k6sAwJRBQodwPU8U7NktHNhcrFMzOxfxAYq MtupfZj+RuRpZObljbKbrmFmBYrqAmV84415mcJ+tHZ6YqZdEWmMdUDh1KqsbwffU7/3Mq6F 35s5bzDIRSQxI0LI8ZnOZJWJgBkenflM6NnfJieWIPSIhomxgnBqjIE0U77UwAGtT4aX4MWc 9A7wDk37ElGLIhL6vNs+vvylkv48bPa/fP8BeSAvZfyPc6ohGH3X6OscUdRCOuLPMzh/s+HS 6muQ4qJF9+khgUQOmxPdfrwWTsZeYNl43ZWYZ4yOD4mvCwar6YD3okURDoYDqXImUJrkVQUP UCYh1QL8BzLHTNRWavPgZA9GqO3vzfuX7UMvHu0l6a2C7/xPo97V2x88GCz1uI1sM5uB1fwv ULLYoKzLLG3eIopXrEroQ34ew86PqrRsaGcRec+Xt2jWxMAUY3tUMMcygOHb5NP0xFz6oOfW GIRq+hFXnMWyLUAZ25tjEpQavUkbZnIL1flaRbWgE3POmsg49l2M7EgnisxgAZLzrhjsYtXX UsiwjNodQw/3P0Uiqoj3nqwYRFfS0cB/vDbkSpKGwe2t3vLx5sfrr194954+7l92r5jf1qyC yFDVArneTO5iAId7f/Wlvn36ezKOwqRTyVCCe8J08ZY8V07eElaHOS34m3KWmtXMCj2SAIxX ovRqhZxhUUozQlpC0Vvdb4hl6bzIHdPz6O+E3lKSkPw6fzTf9mQod3B3MfZ9M506hsYMjoxc EVQ7rBVgXgKoNhDrHss2Qm+50Y1g5OrYNAgQtAaMSFjJtXADimwMCBog0hehaD2H+IZXVKDs 2OfOUm8UvBIxa5hX+lUhV3TibIUUM4xjoxiRXJP91wFJLoM96betMcEeKz+bFk8u82lVUlgh eRErThdsxHZN0jB5T+pHL7lUFS1ED/hyDurKnJqBQY7sadOqaZm3SANgVUVNegz5nV+k8wUd wh9F8o1LhrvQM+cqsJw2M4zb2xvu++oFJncy3qbulpH+SDw9798dYY7+12fFRRfrx19WlFgJ qzdCvydBhyBaeIwmboEt2kgpL7bNCEZFHYX3vhqRcc6IpPGRloiDRZdyk1C+g+hYmHjopTFT +LJugeXjGlZTq3F1AYcbHH2xMCvWITNUTZvCzeHJVU6qcHLdveJxRXA1tUO8gAsJltEiJOul mrTXJX6IJeelZRXquUvFeS4vOZWxCf1DRub9r/3z9hF9RmBAD68vm7838I/Ny+2HDx/+17BD YaCqbG4u5XFX6i8rcWmGoxoCNCIqtlJNFDCrKZmmry96zxqPCYIa1zb8yrR/9csfRmtXL+/3 KE2+WilMV2diJR1R3TetaitiS0Flx5yjRvpx8tLnAD0iyPKUwgc94KGncXrlPV+v8lAbU3YJ NhD6gjrJMMdBUirTf/Hph30gY7CAz0h2ampmwK2cQGopOsJUdW2BN9+w0JVRiThg1AEV4F1/ KQnjbv2yPkLR4hZtqZ5GgHZZb633QJdRBvQhiVQO2bTVUp6lRSePYdCXMCl2ajuGHuyx3bkI VBWQvUB6HLKSVlFLyj5q10Stu8MA5IybXgZIh7lTPdkBEeYjlKU2wvxfbScViYHDTycm3vnw COIXZiCZTpFrjc/Zjxe9XlBJjcD/aio8HkRAvC2hRVa0SBbRdUPW6y5EqTpqHENS/EnaQik9 h7FzELsXNI3WpBNnIghkt0qbBRpkXMWgR+cyFQkQoE3dIcGIW/kRkFJqV24jUf+gasVYFrLX MtOn00X11shmnNLK4tZEVcWBkd46VeBPgx9Fpfb15sdoqo9wxKBUcyHL4wjtWuSwvPdpA5T7 op6QMEE5I0ZxAZex33RwIbyxBkKf/+0vPzQM+xnDhO2ICWTrxCi5njTYuvN5ZoncMI8gBCX9 c5QUpx/VDTvSevDBxSpjjT8zqkP9yqy9FVcXrKwXwl+KGqEtAM6yUM3O4MCANaUmxxElLByX Tv605tUTsAI4O8ObPvUk6RIwEMMu02TES4OTNMuW8i7XyCoy6tzQ+IyrbUSm+KAZgGGHK2D9 BB9XT6tN6uaMG3dWNwMGuchZZal55iYdCAJBUOotLJMWfZwsOl6oXxcNq9B6754t5JvfJDZ4 hbR7hilrhqlY31D3ZK61tA+8tk2GKtqqp/HEkvXuwTqmh8dkbrtGxkDLM4uMSG6LVVrEMF7X Smaddm7OlF7ICVuaYMWmRZS1Mf92/LC+vf94hz18D//cPX2oj8e3D3dAA7mk/Pj6eNt7BH64 N6KvyjQGSs3m0zjgaiagSdB36RRW9oSZlvlms39B4ROVpujp35vd+tfGnNFlW5C3oFpKQ6O0 qOhEPWVOk5EDEInccuHGyacK3uB2//MHnLxChxboMhKXxjGrTAY18B9xqY8B02hgUeMvbfHC 780qtDxZrEySoH24atEE2DFybSkq2HCs4kw5Unz6G4sUGTp1BfxKnqdKm5N+lkRTsJNcDeTg IvCCqdQdzv8DHOHnRp44AgA= --AqsLC8rIMeq19msA-- 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=-7.3 required=3.0 tests=DKIMWL_WL_HIGH,DKIM_SIGNED, DKIM_VALID,HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI, MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,USER_AGENT_SANE_1 autolearn=unavailable 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 A2485C433DF for ; Wed, 8 Jul 2020 05:00:12 +0000 (UTC) Received: from merlin.infradead.org (merlin.infradead.org [205.233.59.134]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (No client certificate requested) by mail.kernel.org (Postfix) with ESMTPS id 52E372082E for ; Wed, 8 Jul 2020 05:00:12 +0000 (UTC) Authentication-Results: mail.kernel.org; dkim=pass (2048-bit key) header.d=lists.infradead.org header.i=@lists.infradead.org header.b="YG29zZXs" DMARC-Filter: OpenDMARC Filter v1.3.2 mail.kernel.org 52E372082E Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=none smtp.mailfrom=linux-arm-kernel-bounces+linux-arm-kernel=archiver.kernel.org@lists.infradead.org DKIM-Signature: v=1; a=rsa-sha256; q=dns/txt; c=relaxed/relaxed; d=lists.infradead.org; s=merlin.20170209; h=Sender:Cc:List-Subscribe: List-Help:List-Post:List-Archive:List-Unsubscribe:List-Id:In-Reply-To: Content-Type:MIME-Version:References:Message-ID:Subject:To:From:Date:Reply-To :Content-Transfer-Encoding:Content-ID:Content-Description:Resent-Date: Resent-From:Resent-Sender:Resent-To:Resent-Cc:Resent-Message-ID:List-Owner; bh=RlyqGh+x55UXZfP+ZJYAuZeoVT4pI7OrdZVBfNx0edc=; b=YG29zZXsHLpRex3MrN6XyqE9e 13UQxNHEpYxe2qMp/CtBmku2oHyDxUvG29uvOyX0k/FCn2DONamAnhcCjER3t8gafDw4PBD3livtV gWfWWGtIDvR1GZc2D/Cp35UF6XUlZXNDlwZZhXDGyzPzAsjMofx0L6h/cBh+bQf+VLezf5P47EWMC tBZjbrKUcgbTDsoHwL8f66oQ7UzTh29gzAfltn9ZA51jjV35wSX1mdqal9Ha4wxsV88rQJAIOiufO ASkOnpFqSDnFod3Gq5ttnXoMkOYNWlF3dkYxLUzGj2IQw6vAgz23hRH6tSIDCCkHE7b7FgNwjCnJp UPqI5Ky0Q==; Received: from localhost ([::1] helo=merlin.infradead.org) by merlin.infradead.org with esmtp (Exim 4.92.3 #3 (Red Hat Linux)) id 1jt29r-0003NV-BW; Wed, 08 Jul 2020 04:58:11 +0000 Received: from mga05.intel.com ([192.55.52.43]) by merlin.infradead.org with esmtps (Exim 4.92.3 #3 (Red Hat Linux)) id 1jt29n-0003Mu-RU for linux-arm-kernel@lists.infradead.org; Wed, 08 Jul 2020 04:58:09 +0000 IronPort-SDR: Hq0zpS+nuWG8/aJec3taQUS4Ggso6kAU5/EIWKA89eFDlm8rJZ/swPsVzUi6z71mUNPPS6E1u4 oCgrUVylNpFA== X-IronPort-AV: E=McAfee;i="6000,8403,9675"; a="232601736" X-IronPort-AV: E=Sophos;i="5.75,326,1589266800"; d="gz'50?scan'50,208,50";a="232601736" X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from fmsmga005.fm.intel.com ([10.253.24.32]) by fmsmga105.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 07 Jul 2020 21:58:01 -0700 IronPort-SDR: US3zYcaK0YufjvU0qdf7AphmhdN4ouO3W6mv03epD2rgyG8zEAXsiMRHR7qZpPR12guOh8odtc o4/CLwF9Pz1w== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.75,326,1589266800"; d="gz'50?scan'50,208,50";a="483759644" Received: from lkp-server01.sh.intel.com (HELO f2047cb89c8e) ([10.239.97.150]) by fmsmga005.fm.intel.com with ESMTP; 07 Jul 2020 21:57:57 -0700 Received: from kbuild by f2047cb89c8e with local (Exim 4.92) (envelope-from ) id 1jt29d-0000XG-5j; Wed, 08 Jul 2020 04:57:57 +0000 Date: Wed, 8 Jul 2020 12:57:24 +0800 From: kernel test robot To: Alexandre Torgue , Thomas Gleixner , Jason Cooper , Marc Zyngier Subject: Re: [PATCH] irqchip/stm32-exti: map direct event to irq parent Message-ID: <202007081232.bA2RH80f%lkp@intel.com> References: <20200706081106.25125-1-alexandre.torgue@st.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="AqsLC8rIMeq19msA" Content-Disposition: inline In-Reply-To: <20200706081106.25125-1-alexandre.torgue@st.com> User-Agent: Mutt/1.10.1 (2018-07-13) X-CRM114-Version: 20100106-BlameMichelson ( TRE 0.8.0 (BSD) ) MR-646709E3 X-CRM114-CacheID: sfid-20200708_005808_237626_D64DA924 X-CRM114-Status: GOOD ( 25.18 ) X-BeenThere: linux-arm-kernel@lists.infradead.org X-Mailman-Version: 2.1.29 Precedence: list List-Id: List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: marex@denx.de, kbuild-all@lists.01.org, alexandre.torgue@st.com, linux-kernel@vger.kernel.org, linux-gpio@vger.kernel.org, linux-stm32@st-md-mailman.stormreply.com, linux-arm-kernel@lists.infradead.org Sender: "linux-arm-kernel" Errors-To: linux-arm-kernel-bounces+linux-arm-kernel=archiver.kernel.org@lists.infradead.org --AqsLC8rIMeq19msA Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Alexandre, I love your patch! Perhaps something to improve: [auto build test WARNING on stm32/stm32-next] [also build test WARNING on soc/for-next v5.8-rc4 next-20200707] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Alexandre-Torgue/irqchip-stm32-exti-map-direct-event-to-irq-parent/20200706-161327 base: https://git.kernel.org/pub/scm/linux/kernel/git/atorgue/stm32.git stm32-next config: arm-randconfig-s031-20200707 (attached as .config) compiler: arm-linux-gnueabi-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 # apt-get install sparse # sparse version: v0.6.2-31-gabbfd661-dirty # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=arm If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): In file included from include/linux/build_bug.h:5, from include/linux/bits.h:23, from include/linux/bitops.h:5, from drivers/irqchip/irq-stm32-exti.c:8: drivers/irqchip/irq-stm32-exti.c: In function 'stm32_exti_h_domain_alloc': drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned expression >= 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >= 0) { | ^~ include/linux/compiler.h:58:52: note: in definition of macro '__trace_if_var' 58 | #define __trace_if_var(cond) (__builtin_constant_p(cond) ? (cond) : __trace_if_value(cond)) | ^~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >= 0) { | ^~ drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned expression >= 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >= 0) { | ^~ include/linux/compiler.h:58:61: note: in definition of macro '__trace_if_var' 58 | #define __trace_if_var(cond) (__builtin_constant_p(cond) ? (cond) : __trace_if_value(cond)) | ^~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >= 0) { | ^~ drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned expression >= 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >= 0) { | ^~ include/linux/compiler.h:69:3: note: in definition of macro '__trace_if_value' 69 | (cond) ? \ | ^~~~ include/linux/compiler.h:56:28: note: in expansion of macro '__trace_if_var' 56 | #define if(cond, ...) if ( __trace_if_var( !!(cond , ## __VA_ARGS__) ) ) | ^~~~~~~~~~~~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >= 0) { | ^~ vim +/if +683 drivers/irqchip/irq-stm32-exti.c 659 660 static int stm32_exti_h_domain_alloc(struct irq_domain *dm, 661 unsigned int virq, 662 unsigned int nr_irqs, void *data) 663 { 664 struct stm32_exti_host_data *host_data = dm->host_data; 665 struct stm32_exti_chip_data *chip_data; 666 const struct stm32_desc_irq *desc; 667 struct irq_fwspec *fwspec = data; 668 struct irq_fwspec p_fwspec; 669 irq_hw_number_t hwirq; 670 int bank; 671 672 hwirq = fwspec->param[0]; 673 bank = hwirq / IRQS_PER_BANK; 674 chip_data = &host_data->chips_data[bank]; 675 676 677 desc = stm32_exti_get_desc(host_data->drv_data, hwirq); 678 if (!desc) 679 return -EINVAL; 680 681 irq_domain_set_hwirq_and_chip(dm, virq, hwirq, desc->chip, 682 chip_data); > 683 if (desc->irq_parent >= 0) { 684 p_fwspec.fwnode = dm->parent->fwnode; 685 p_fwspec.param_count = 3; 686 p_fwspec.param[0] = GIC_SPI; 687 p_fwspec.param[1] = desc->irq_parent; 688 p_fwspec.param[2] = IRQ_TYPE_LEVEL_HIGH; 689 690 return irq_domain_alloc_irqs_parent(dm, virq, 1, &p_fwspec); 691 } 692 693 return 0; 694 } 695 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --AqsLC8rIMeq19msA Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICEU3BV8AAy5jb25maWcAjBzZcuM28j1fwUpedh8mo8OW5dryA0iCEiKS4ACgJPsFpXg0 s671tbKdzfz9NgAeAAgqSaUqUXcTR6NvNPzLT79E6OP95enw/nB/eHz8EX0/Ph9Ph/fj1+jb w+PxX1FKo5KKCKdE/ArE+cPzx5+fD6en6PLX5a+TT6f7abQ5np6Pj1Hy8vzt4fsHfPzw8vzT Lz8ltMzISiaJ3GLGCS2lwHtx8zN8/OlRDfPp+/PH8fD7w6fv9/fRP1ZJ8s/o+tf5r5OfrU8J l4C4+dGCVv1wN9eT+WTSIvK0g8/mFxP9TzdOjspVh55Yw68Rl4gXckUF7SexEKTMSYl7FGFf 5I6yTQ+Ja5KnghRYChTnWHLKBGCBAb9EK83Mx+jt+P7x2rMkZnSDSwkc4UVljV0SIXG5lYjB fkhBxM18BqO0q6JFRWACgbmIHt6i55d3NXDHAJqgvN3jzz+HwBLV9jb1yiVHubDo12iL5Qaz EudydUes5dmY/K5AYcz+buwLOoa46BHuxN3WrVntnfv4/d05LKzgPPoiwNUUZ6jOhT4bi0st eE25KFGBb37+x/PL8/GfHQHfIWcH/JZvSZUEF1BRTvay+FLjGgeWsEMiWUuNtUdMGOVcFrig 7FYiIVCyDnxcc5yT2P4O1aDKAUp9JojBVJoCFgyCk7eSDHIfvX38/vbj7f341EvyCpeYkUSr RcVobGmKjeJruhvHyBxvcR7G4yzDiSBqaVkmC8Q3thSxFGg4MFsyzHGZhsdI1rYYK0hKC0TK EEyuCWaKC7fDsQpOFOUoYjDsGpUpKGwzsvOpIs8oS3AqxZphlJJy1WN5hRjHzRfdydl7SnFc rzLuytPx+Wv08s07qxBHCpBd0iyPDfejrdm2lwAPnYBN2cCRlYL3SC05ymoKkmyUhUNpgrg4 +7VDpsVMPDwdT28hSVvfyQq+pylJbJ6UVGEI7COoWhodxKzJaq2kRm+WhRk5WI2lswzjohIw QRmeuSXY0rwuBWK3AZVraHoetR8lFL4ZgJVhb/iUVPVncXj7T/QOS4wOsNy398P7W3S4v3/5 eH5/eP7ec04fCHwgUaLHNZLWLXRLmPDQ6qwCy1WSo0XDGah1JjxVFiDBYJQAL+wpfJzczoM8 E6DeXCDBQ7zixGIIKFxrglPCld9N9YTNwf0N9mg2sqSO+FDWBPBbAm54MA4Qfki8B6m0joo7 FHogD6T2qD9tFCKAGoDqFIfggqEED9cELMxzFS4UtHQxJQZ7w/EqiXNi66bCZaiktY44BkAw 0Ci7mS5sTEypP4IGwbnk6PbmEqKv7lz11DSJlZgFjtbbjFTmUBaxfaDuQXUCuTH/Y5nVTXdg NLHBaxgT1LwH5VQFQBk4IJKJm9mkP2lSig1ERRn2aKZz35TxZA381AatVUx+/+/j14/H4yn6 djy8f5yObxrcbCOA7WLOFaN1xW21Ad+erIKKEueb5oMAOw3CLK7fb4YIk0FMkoEhBlewI6lY WycqRsgNtCIpHwBZaoeFDTADJbiz3UwDT/GWJHgABhlp7Ic3IWZZYAxwg44/gGAMvCeYmhBn 1jjZVBQOWFl+QZk1uzlLFSDrkb3YDViUYjACCRI4DYzMtND3xhDOB7ano0Zm8U7/RgWMxmkN zt+KKFk6iHoBFANoFhQBQI6Gw4AbCYX1V+EwWKNCITCotfJIjaL18WciKfikgtxhFcno86Gs QGUSCmJ9ag7/YzEfQg1hRRo6Fq1JOl1YPK2s4/fNrker4xsIfZlzjCssVAApm8AmsEpz0oPA JzORkuUOdMRuIgfbSSjT4f+WZWF5LiOu7S7yDBjLnLA+RhD4ZXVweVkNGbS1LPUTFNEasKL2 ujlZlSjPLAHUS85Se0IdimUhoeZrsEBO6kDCokOorGGvYVuF0i2BLTVMDaklzBIjxohtIzaK 9rbgQ4h0jqaDar4pNVTJgsPQKjtz4kpIdBxhc6mLZfuVwRBlMjgsCNK/BAaFr3Ca2kZTC7TS EOnHzRoIq5DbAlZIneC2SqYTRyO1L2nKLdXx9O3l9HR4vj9G+I/jM4Q3CLxMogIciFr7aMad thtcm87B9ME4+G/OaMWUhZnQBLJeeN1aBFpUSEAKsHGUNEdxUIx4XschGc1pbAk8fA2Hxla4 DQ8t3LrOMsjGKgRYvVcEHsDWVpqR3IlpdUii/QW3gxG3qtMLTWFLUKEFiCun4+SEIIqS11VF GeQ/qAJGgbFCTWxvS4tICl9+IKZR7rEHQ3pDqBoKMmMrxYUAMNmYeKqZyo57kg24siHC0EOM n+VoxYf4TilUrLCyp8vAFmLE8lv4LY3J8AKl9Q5DuhVKBlFOYgZOtQkbO4I7yKukE03o+TvO 1brawF2OV7pSUq2BxSqrGU7nWN9qZQp2uvrAb2ZNAKdDzEj8eD32KlQUtbeQAhguWQkemsBq Cjjh5Tk82t9ML1wC5aIqOHnlNB0jq7A45mg6nYQNqiaoruf7/Tg+A6cdM5KuwtmppgHRmc/O jEH21cW5OVK6PTN6tQ8HJxrJRkph5pDV1s/snc+T2dmFUWD+dGA3i4/H94fXx2P0+nh4V4YM UI/H+6Za3abVYM5Ox+jb4enh8YdDMDg8uV34QmHAV2HwwmA6M3JuPc73riybEl2iLIZffkF5 5RSrDZCJClu5UIE6oL9+xCuMneDAEGuwXF2GfLdNsBjIMRLX0/FzipPiDBIzsMbj+KTkoAH7 wJqMcJIVSWhuW3ijOPvbklqM45c6E5FFlgy1UNPOx6Yw6IvgBJdtQoj//PH88hbxl8Ryyarc 0nw9m06sxYCBb+AX05njFzvM5exyEnKEFsEiOOTlRXiqy4tZGL6cWHAD0yvnNZy3XWxVZgy0 tuC19p7Gjh6e3j6ev4M6PT29PEcvr0qu31pFi19g9R6sevkfJMYQXhy+H58gunAS5/Bo3nmp mh54p8240KwJJ+PYYn/GKkEUgFdMxQzjNBt8C2nlSEXQTIFTAu5uMyZTkL3qSMDVQA1dBEft 8cvRMUkeY8hsfbPUgGUxnWwH7q1qD7I4nP44PkL0t0fTxfLz9XTyGbCziDyB7VLndGhP0V5R zOiu1LzwLE8GSi2GG0QMnHAuf1OmhI3ZGTWvTANfF9Uc4MHY9e8u31ZNReAzZAvhsrcVDZOo vA3CbTfQ2NwCpUjOryZDC9uiLsfPuKVZhkyeQ3G9H5tgH6oXaQLly70tl1UyDEwU8Grc6lIT h5paPonUz1Zns74eptEa1wAj3no+Uy5rhqQ6iMIcC1Nk40HuaKr5bGOS21GSucxnEtV7yXFS M4iMVUjdlIHC1f+R9Tt805P3lVx7459R8TmFfxmKMh1OeEGEovHFTC90wHQFvQhuTFlrhQ25 ZoVDxRycpGvdUXExgMEir2xYv8Aqry1vqberLCEDQIkTyN+6zN3e++zz/PNFxF+P9w/fHu7t sw9OIMVtRSAXcBelkg1NInnKEt8bKizDKNc3Ek2eOYj5mgMECXMD+pZvM+P7BvycXczHnKw+ IkD7nwmynAYVQ/OsgoxMJZ5JHLes0mvLj98P9z+iqg0B08P7Abzj4fS1XbGryHr2y+kV3hZj qmyEvYIsjTI0sAQl3RAky+U+tD/zqeI2RJhKn9q7Ilclxk7XHuZSYgbeEsnlZLqcXgdGGeqH Kxz7EvHB8ul+OTuTGoAU0X2Cg6UekzsQXUU2fOUs4g8siw7vj4e3xefX08PTgZDPSP28Ckqv H93miC/GptLYq4EyV4wUKFzT1fgvCT0TFbP0XFal1GE8tlDoLcE7zy+1YEg6e4wFVM5jOp07 wf0AfRVig0N1bbe6DL4vqsFRdzRVrPBj4u6QXS3GNlfFaDmO800fA2/TtA0Mcs/F2dwT8ont 7FzmzsBZcBR2ZWYEmmTVKnzMJtKuMDoThHJBRqVfFPOZxwUNK6rp5VBUIZ7fnwmXBSpX4YKw QatweWwldUmqtVPxNeDlpZ101Hv4aRxUHMKYGmYN2ezNzJt9i/cVePdQ5dHghTugBu6K5dVl ALgcAO88B3q3n10vriazAQ/vbstQiVgfJGVO2U/DIE71IKp5Cwmi7x9MonR6uT++vb2cPKem QtfqNysfbQCxC7HLFub3xgNcub/Fui5imaBKlctc1Hz2x2II2QxA3ogoZkJifyEN1KOtNNin baAebQICjQe0DTRMS+z+Cw2n1e1gCJHHYZg3qGkbJKk3JGjXENJUFb0jDTubwhxCUJgbHHbi 98L0daiGy15Od1VTbfZOMYb/QkJPUOnCDUzGeGmLtcIQw72m9yJU3Qei1CHypgTlTEkiwliw cImwb2dVqxeGlTBUaheqv7VrOxt1kSPXOK+cK7ltyq22Q1pDjGgOPgjUlzzOVjU0w6p3hZaQ QISckKpsmwK9Ic9ne8taODBvYAWVVRHqiajy+XTShlCXy+V8cW1/76CvZlfX01AG4FJdzq+v rIW5yMX1xfR6uEKBakZ5OFoxFK0hHxHNfNqyVvVQyIUroy72ZmHj0gKpywTVgAEH4MqIvl7B aHtr2kRcn9XcEISE2vgLlJNVCS4+hZ33OLIrCltblOFs2XNxdTFzZ28Q89liOpkHURfT6fVs EkbNJ9dXXppX9Kc5uVpej7CzO8uL+WxkRYsL8ERB1NWVW+pzUPPJyIDL6XI+u5TLS8iVRihm 07Fxl7PLhStXNvISJHd6fqd62ml4bIUK816PPLNzDvtax1QgP1Rj3+vry+ndzkqtbcN2J/YQ 9hf2RewwudXGgLshLQ9GsE3TbSG53cTVQU0cpcoaAaTYOaX6bcGrnAg5D1/D92jViHGWZLYK rLRFTu0bNJXR0izjWNxM/mya7ic2MyueEE9BSyZXFaE308msuxFb36lLRJzeWE1jABu7BQLU 7AzqchQ1n4SyXkCYUNCbO0yrW9vsLepLR5ISu4aKUUzsASn8bm68xwJSFTqsaY7bnu6CpnZT tDFuOFc1l6bpO0SRgXdXVhOXvsVUn+u24hC6b/6uslJuwULazQvg4ZxrXQWo/CCC79pG58o2 uSaERqUwVTKUy3W9whA7uYoLe6nV5Xxu90boBml1eaqvgymEAOxm2vUnajNeqC4Dwdxme9VA pnpNd0SsdRddFeq+5ThRJ2KLM0PuXVsLCbS9+s0RfREkcL/RrosrdbE2LtDK68loe8z01GAW BKuTkMjc6a4sRgvzqGby52SIiTm3EdqgVOrmBoZPhXcAai0K2kipb7I9tEyKVD2MkZmeCGbM qWqwHDHmY1/D0p2LpAau2uKs5xl7HL6WSRjia5nWQcuqOvnknWoISlPmmHH7aLpbX3P5VNiX Tx0uOx3/+3F8vv8Rvd0fHk1vtRMNZ8xtA7L7kANfdwOTr49e+kZSPxRWELmiW6k24ja0OWhQ hFAc6dAITNuEA06lW0KUnh7+MC1DzpkDfrSxvjXuf0nU3smFCC0ynfi3NJ5P724eG5wzfnvZ El5Icw7h3dqnZI7ChgwkQrMne3w5qP7x6PXl4fk9Oj59PB7sDgL0Hj0eD28gYc/HHhs9fQDo 92Nzw3/82p/6NrMsEPz4w4powOY5d4HNSyVl9zUuuNfRFQYvWS0j1Ycq5n535NlEDIvQ/Uqh hMO5MKoKE3CHjjzc+ATQJN84v9vWHeNbLOew+yIruoPUDWcZSYjyA4Oer+H3jv3VhYTCd5Jm 96rHk5NB1hG8/26uljvO2N925zLKeSNXD6en/x1Oti5as/KkIKr9S9CE5u6CDEozont+5CgI T6r+21BTKWHFDjGsHGXh+lFwPlz5ogzcXqp3FiqniZoxAlEL3Uu2E44ErChdge1ppxjRfW1H Mqss3UfFRWI//nThqnSQ0C1mt61RE8fvp0P0rWXlV81Ku41ghKBTHf8QPHvIbivhFDydR56H 0/2/H95BvSEM+PT1+AqDjigYNb2GIX7oLbZ4R/dNw1tQKX8DFwj+Icah89Uj9jpSlzpuUr3u OkjyC7AQoqh3oRDlQPyws9v8zKNNv+/OQBkWQQSkGkG40xPdB5+6B3FN6cZDqloA/BZkVVP7 OrJ7iAH7117OvKUbEmikao6GqE/Ula+6EHpDrClIdts25g8JNhhXfj9/h1RX1CYqD25Lr6oJ 5uRuTQR2399oqvkshvwK0ikpvEEYXnGJytQ0djYHBzbU56FqR/ZA652MYXLz6sHD6d5fNXYI rutpZj4VYYW21YtdKNwnVSLNM8b2UXJgiCYGBwuRCzvJHYObzFqtSlk07NYAm2fbLlq/0HMS cQc9pjBK2iA61RK5cZqCNXrk0ZxHdfbBnKYAV96mZjghmf0azGREXGukeijABmxWm9UYddVb OA8qeg47jageAd6DwPkqE/hqOTzd9vWdoFVKd6X5IEe3tPalTNfTGw0Quf1mKFc9vjHwF3yD /ZiIqlfpZNW42fkAYZofrYFMUmH0R/Hb2wzVTych82ziJ7YbdDoMKYbBRK/sgqnKdWi0Myj/ 8ybjDX0eQnWf6/ZmyG1Mc3Qn1qo/xm6650M/Bc7y0++Ht+PX6D8mZ309vXx78BMaRdZs4Fyp QpM1fqp5ktE3yJ+ZyZEN9dccqrxemcDOWkIHDoa4f9PjtlOp9nj1VMb2Qvq5CFdvHm6mnsbZ K2lOwhQiVIob7s8yVHV5jqKxgmEP3ozAWdL9qQa3h2FAScJlvgatVMK//fRp1BuInSwIhKql 9XBOkkIX0IOf1iWYI1DC2yKmeZgERLho6TbqaU7ozqSxbfp9bA7+3nbJcfOesvu5gRiWEzCA X2pse832lV3MV0Gg+cMHHty0cRIRfK3XoKSYOuXAlkBVoUIPpfRzzKakoV0e87/exeGSqxlZ XUr4b/nt3QMnaYVC6qjQ5k+USFzq+NSxjEG0zODkldltw+bqcHp/0GmqKo/bL4cQxET6E5Ru 1cM+p+CMEsrKniZcASD7v6CgPPurMQow+X9FIxAjYZpW5FDS4y0vy1PKHUTPep6qFGMzCKx7 RYJ4cA/pYHxuYk5zpPKj/XIRWkANQ+j0q5vKseppcXZXfEWCg+aghfsQhtdleLcb1SL6F1zG 2Xkeqz9ysliGprW0w5q6zYw9+bOlt4As375CaGAq/iLUBetM3vyxEtq/tLYbk79IQs073xSi EfcP+1jIzW1sx5wtOM6+2Kt2J+n8Iy+nzuEa7eOQOmj/YFs2974SCYjhEgmZcsDpQxArVaqb o6pS1loVNVUOoC22VTDvnlo3bw+O9x/vh98fj/qPOUX69d67xZGYlFkhVBDpCH4HlVlakSRw 0oBLnOfT6pdOFLrIUH0+eHXfDM0T5vRd9G/LDF7dYgRWpMAhI9hjYaTVtlJ/RKnSf15JGDPn DwROL7QrtYkm2emOeYyHpjf++PRy+mEVCYc1/7NXNu1tTYHKGjmK31/VGFyocGM+dkcDSUl1 Kcd9Edi8TsCVftLqiqG516uEjiAhp+E3Fz1DILL2om196cewElonnwErzbxyXgyBaOJWMXio bbUVGZ1EgFHV4n1zMbnuGgL0H66oVJ8G5Fwbp8aU5Bhck+oiCNqsjEEmpwoZ4SuEItShdldR u8x2F9dWfnQ3zyAPsX7z4cPdFta9MSyM3gbX0BGrP30SWE1bw9BPLMEaMewcrSlt/J+zJ1uO HMfxfb8iYx42uiOmt/NwpjMf+oFJSZks67KovOpF4bazpxxTY1fYrunav1+A1EFSoNSzDz4E gPcFgACIg9KXVaOCYSQfR06GflRqTIy0YrHdh7zaAp+wT1jh+NA0zhTe+d4NVBvLJ71+/Pn6 9k9URRM6MDSIDqnm4oFoH4+o4zTrqWCBYHR3lh6+9BzhNYP0eAhAvdF7h6iP0E1qKUWuHfow bBGZFRA07FJVKOsiKte8ylNzFNV3Fex57hSGYLxgoydwTVCwgsZju0QuhpA73LnD5EDZrmuK qjykqc2YyEsKu0N2JzwqSZ3wWNLmo4iNssMQriuWLgCHpWJ7Pw6kGT9S5Li1eUa7a64JxAnn gEqeN2A7+0OQ+yeooijYaYQCsTAusiyyCz3RoXT4d9fONko339Dww9ZULrXqmxr/298ev//+ /Pg3O/ckWDpyZjvrjit7mh5X9VxH47zIM1WBSAcBkSXeyHhkZWz9amhoV4NjuyIG165DInLa l05hj6T5tEJJUfZaDbBqVVB9r9ApXlKoQ7m85GEvtZ5pA1XVXuJ1bEnPSlCEqvf9eBnuVlV8 GitPkcH+T1+462HO4+GMYAwGRKYcJpYvGQbWRNVv//xxaPL9RSn64AhLvOcqEGv1MS1Y5wNI 2HsC7qmnwIhInt24CDw6EV/oR+DgSHg895TQ9+mvEfpaBfcNaekFaxBt8BWztFpP57N7Eh2E PA3pMy6OuceFpWQxPXbnOe3cCCINHfEj32e+4ldxdsoZLaSKMAyxTUvaYw77Q8lzdJM5ZWMd pOhqBoI8SGC//csYDBg+ppQjtGojBzlEnkTJ6b3sKDESokfThqtIpHf+QyLJPScjtjCVdJF7 6Wd/dE2DkG4MUsQLjMCJm7yP6r4o/QWk3ON8XQfzQpq88MQYMmh4zKQU1JarTtZztT3IS2WH QtreW+wLBgX6ZIdBNXnWycf1/cPRi6va3ZVOaER7nRUZHJpZKnpO4jX/3MveQZi8sjFoLClY 4OsXzzLwKBxZBB3kjb4RVXecEtBOogAxVlrSAo92uMz6cTZaxMv1+vQ++XhFw5frC4rQTyg+ T+B4UQSWy7iCoEyCeoC9MvpTMcIMi9CTACi970Z3gvT5w1HZGGy2/u7UR9bwbfK+vYrRz4Jm a3iY76tY0HtYGnlC/ko4uHwxS5E/jWgcdfA2m5QsXdcGWDIVOkNa4xYxEaMqidLqlPsSJN9m 73FvC+tF08h3wfXfz48egxWWbN340JYaT1+oWCD3o2/xYwD7wTMR2QvcBkClqNgerC7YgzQV H3QaJKGHCBDMwx8onMyppYKoKk8sVk/DSi/59mS3I5GiByADDCPu/iCKO+kU5zW8Ut1UHrZ2 Hqx0ujnkLLEhmvFQRltuWSI7ekqC3dwlzhm9dRtjYkwcY6C4FyP3eet7D9+Tx9eXj7fXrxhm 88mdnKo361gOVr2iEn7PSJtvRGOg715I1RbRzUZ7zM8YUIySqzHlcQG8bmKPNN7KwfnKejlp ME4E3yQyXFYpsKpoL9sWG+a9fTy4vj//4+WE9lDYq8qLXroeEyqX4OQUGpya4hxorhW7BJSu X4MMKVkdOzFml7CAVZ+7C87AeFOHTVyM9Z07Cm58JBNKV7VBeqvaC+2iklH+UzSFk3PLOwyN k9ZSv/4Oq+D5K6Kv7jh2uj0/lT7WH56uGPlPobslZnrR2PXmLAhT3OWb0fU30SL1NHO8/PY+ id4D2v0hfHlStrH2rhCmQWMkZc2jBl6HQPXc0ypKOB/dxxmsSrUFt1V5//P54/HL6I4lTzV3 XobcujkbzMKsHWcFLfEULBcOb9lZNT4/1sf7JOv5MmhbE+1xaehrTTD6xuytVxOOZZJHjsuD hgHffEjpKQJMYRqweCDSuiqzNWRV71r0GtQad359hZn01rUkOlXaecFgTxqQUqwH6IPYIcNz CTtxU5rRvC6V4YxKZWqgzcv4jkVrKWk7DtdctW5Ry61rA62jfZ/VcGfK6sPEemR/NEoICkFz ijU6PBahM5oIx0VQpwW5OfGFCVRkTAVWrYmVrejAFYiyuDuUmfPUBDrgb0270CLcWXck+rsS c96DARcnesDTrAdKEvO+ucnQfNKhyRCNpVFg6mM4N/gutGmVe5hBQe3iavUjICO1JSqTWHL4 PSu09W58Uvy5w5hz2x9PAW7Q88JhbQyUii/Ky8KUpgueyHJb7YTE+B1Gq7Q7RrIdDBrkoDKe zyU345cKFI7Qet/KpwTu8ZRIG4I8v3VdpM9KAJehk74JCdEFs24qvRdVIyIYzp5NBxqynq4/ aTa6S235GL+rBEPJw9RltDZU0WBImlGiw/Y8RJOUFE8dlEbXZNYdfxZhX5Wet4QAi5fJaJ5l ZlBfQZKou2z7yQIEl5QlwqpAY7Zgwaw1BN/6uq37xvhfxRFWiXXXrRGokbNg2kbiYs5jFemu ddHXRsl1ZNvuCNEgoidq0y9j6te2YOkhjvGjw/CgyJI+ITI4UkL1S4HhVq3YbJ8LRgmFTdKD 1eQGGmdZTkPV3bl+O2Tt4rXzQp220xLV2KDY0uxB29ytz/ANsfK87teoYETl0alR17B7TsLE KZ2PuvnvFh32K6reeHCkK4n+2jjyqMAgaqm1PfVg9VpWDLaskGrEtHLwmIR9CQihlW0M03ba 0bRFVoT6QoephxY6jQ9i9qeENKpSyIiB/M1lL5FHvaRwzkWLhWLFzlxmBrByp4iJGyxOk/Su dxoNp9l5Wix5fn80DqluNIPlfHmugOumFiRwLMnF3jTyPTA85tIrRZQ4Q6JAt+ezcbBDf24W c3kzNWBw5MaZVOEBYdMR3HJcgUMsNngAlgdys57Oma1fEzKeb6ZTKmqsRjkR58JUZoWsSsAt 6ciuNcV2P7s1A3g0cFWPzdQwmtgnfLVYWrGIAjlbranwJdJapvhVocOtow5qZKAytCVfreCo ZBCFlEEV2llVRSmNuuXHnKXmscDnufFiXhgCb5dQMqXGwFqfU49U1Ng43DF+MWtYIxJ2Xq09 4TVrks2Cn6koZjVaBGW13uzz0GxNjQvD2XR6Y/IPTjvaxm5vZ1NnampY85JJHwgssjzo55/k b62n24+H94l4ef94+/4vFYn//QtIAk+Tj7eHl3cscvL1+eU6eYI19vwN/zW7EtkmWkr9f+Tb n8qxkAvktYm+rNVYINHl3dNyLx/XrxNgFSb/PXm7flVvT/YicxzhdLOZucwy0xvKpB0svjeW r5qbLOb4dInJFLdz1lFFsi1LWcWEWaq1hXWU6PoTmI9GBl3sLvQORj/g6yR4ffzeBqD99fnp ij//8/b+oS5Jvly/fvv1+eWP18nrywQy0FK9wc0DrDqD2KBsCq2y6sCN0gbCIZk7hrTK6D3A UKhWIByA7AL3uyJoBvLklqm4hUB/sG2GXk1Fkbkvr/UTQBEeuwZsKb7nIjJeUjciSKDeTIja dYMd+fjl+RtQNdPj19+//+OP5x9m17asWxeev18vJb9FbTBJVMUYuRPBZYy01szS3zjbYIJX OspFr8AsirYZK8heraXjAS4GrW5WZhgdpx09E2vEsZCvHH61RcVitjxTR1zLbibB6ubcz7Qs RBSHZKb7vFysaMOchuQTLPDCY5zeDpoQlMa9bXG5nt3OyclZrucz+mE6i4S+gmx5Prm+vZnR B01bxYDPp9C16NA2UNWWLFUxO3vZyOPpjvKuafFCJGwXkknj9ZzPplTQsI6Eb6bhakWNYQJs TB9+FAxyPZ+pYefrFZ9OvTOwWUXo6FNvqP0FpLyAYLczFCtM4CZUmibmSGV/2e+IKIizLahi 6/ImH//77Tr5CU64f/598vHw7fr3CQ9+gcP85/5SltZ65PtCQwcESeCwjEO+SbAjYNwSEVSt W+6UVpMiCfyP6lKPUYkiibPdzrGZMtGSo0lLHQmv652yYQDenQGRuWiHwC4o4hrhr4pQv3tE VvYYUbE/wgoei61kFEKfVXZZUsVXkqUnEpemKXKjLU3oMKf5/2V35ql5vdaQABBDi18ap0L0 qMfGetXk5912ockGRhmIbsaItul5PkCzDec9pDNXF6cKVvNZLbNeRfe5x6pMYSHphn6do0H3 R45xZjrXaxjjdekWVPBba5+pAXjsSOUnUD8u2L1m2VDocPLqtaEqkRjMy7AwaYj0y9hDYStq Qs2g94JtWVj1aDFRSBGqu4uyvOiX4nx9hfQbt7Gb0cZu/kpjN3+1sZvBxm4GG7v5zxq7uXEa i4D+S4/6NDj6QinX6ENCTXBdFJpNwyLsZcpQu02pePUmDCXOLWV9AkKnOongnKZfzm0pWvnU RfRXA0h8CxI6x51M2UfB2T6br6lUFt7pE52DdwtM8CL73j1CD5Hcc3cZaqDNPTaIKjhx2ANp pErVY67bpBwNLgfwTdZ+Cu0S7G5YIEJ7t/7kYl5j6K5IbZOOFki67NoMx3kx28zc/opc+x0T WveUXdouIDWa+vDM+1MXA5TYl7kOls3sSIe6TWXo3anlJVku+BpW4NztnhaDIkSt2kfnRCWQ zny0jecBhr7rdMAOFU5fRbG6ceva0SQDLc0Lp7YA0XdpBNwOcKLA98AlwUDD8ul3133M+ueq Nfx8sVn+6O8rWPPNLaW+UvhU5ot5L9UpuJ1taJlDF+Y1WdScbqIOUF+ZebLWbLmdSqvMve3b O70VqIcJ+osF4Pu8kqeB2u+rMKG1yg2exQeH0TAZM0dYsJQwOV4M9HcJS5OBuo+eQQ/CLC2F 99pBGTJS/aSK7l5R4obByp/PH1+A/uUXGUWTl4eP539fJ8/4hOYfD4/mGyWYBdtb+yeCkmyL MTfiPEEbZwHHybSXhGo1goNkPbNfaUMoD49koP69YSxnwu6zQtw7tYK9hc9Wc0uy19VBrk6l o0cZaaSI57S5vsJGtOVtQt8G1RcRvPeuT42PDtJxX9eqoTAMJ7PF5mbyU/T8dj3Bz8+UHhoY pRCv94kOa1BVmsmLpZ0cyrtJnYalZuSMMz+tG2LJ8Fka+Hxe1O0IicF67Q4+K6Dw/sBi8XnA OdJ39YNXPiGjvVgSxtHFhNbe5V7U8ezDoKbLY0yyBd71ENDGLDuPMw3UT3pii0K74D+Z+Wy0 y209XvQUPND1B3h1VGNaZBLkVzrzo3ON2SH0RabPKyaNE194jML15NEWns/vH2/Pv39HZbnU ZmTMCKlj2KJ1xoZ/MUmrcy/3GEqotKf0McTHiaoFzyzH3vKS7zP6ErRLxAKWN2ZwTfM0CK8V iohemmYGu9BeUGE5W8x83q9NohgEUQGF2FoZ2H4z8o0RK2npxPEELiQVHhcMfUFSyrFGJOyz aa9joewwLUmwns1m7t14Z/uAU2NBXQ2aecL+kJaC0QXaj3OFGGqlMSweyRZnRybtozf2eZbF nqdEAeGJPwsYXzePjfehcF7P0pAq3a7XpJW4kXhbZCxw5vb2hj7gtjzBXc0THig9e95e8M2f Uuyy1KPEhsw8fKQylnItYMyElLxuNxhNeK32phRLYaSpbX4tQZqR7ndWoqM4JOQs5PswlrZT Tw2qSnritGi6v1o0PXAd+hiNVFoUhe2AwuV682NkEnGMbmqtK2fMiSQqJoc1a3chBilqt2Ga aUg2U084/SAlYzQYZQb2Vqzd5+OxhR/U/kVdQfGcdhuVGHo2JXlsIz90S3FulcL5aN3Dz+4b XxpSpTlqUFI4KVR8eXd99nOKWAGHkGV4EJUwnX0vGETlro/tZ6vj51rjeRzpCXzhFk8l68DZ i/NyH8yrnc+zG1NVUehH59Mb7wmyTyW6GNNMOiK9+xsgqUtEszkHdgoFueDFer40NYUmKi1t lXxIdzWCpy7d1HPdvKNd/AB+9AQ8OPuSAMJTCGJ82d34agYIXxrXdriZf8lsSq83saOnwKdk ZOLVT/ha+/lxhU+NeidOckx8bq0Jssn0/UJyzHP6VJR3nufu5d1lhMFJoOoszeyXc+MzTHqa owbc0i9iAlaeBtHRaaQ+ghf2FL6T6/VyBmlpC+A7+Xm9vlFGK+M5Z+6+B22/haH6CyltlzUT e7Gd/fB7NvUMSBSymHSMMzJMWVkX1p0uGkRLP3K9cN4GJfIMgb12It/JuWcOHs9kpAU7uyJL M9vbM41GDr/UbpOooJz/7LhZLzbWtsXO6/XthradSMP53fisSI8iEBbnoDRbAW1RayTM7qzW AH02wqXoyE/Qyp1Ibe+RPcMXKenhvYTouBKJEekwD1OJ4ZDJKaqVumaJ9zFbnD3Ped7HXi4b 8jyHaeVD35OxeMyKHNDwLLEEhHvObuHwUa9Z0rlytDT0HdFFMjprisBqe7Ga3owsl/pBWTPV erbYeCKjIKrM6LVUrGcr6lEzqzD1MCo5cihOmmZRBkqyBHhE+7oHT1GPMbiZMjTDpZsIDNkZ wY8dONyjAgM4enHxMcUF8GXM3nj4Zj5dUA+gWansWx4hNx6eElCzzciAykTaWvqEbzwGTWEu vOyrSuZJh0UMI2/GdmmZcdij9duVXVLYKNkY9ytLdUhZ6coEFRLjs+Fgs8wszy9J6PG3wRkX 0kpPjsFJUs8ZJag3esxKXNIsd+6k8bbzHLusez9tGe4PpbUZa8hIKjuFqAIQsVO0+fbtNAaN l30r0V8fWCAM1CQ9oaBqGhrnaID79T7apxV8VsVeeFxEEQvMKUyrkgrxZ2R7Ep9TO96fhlSn pW8xtAT063JG5tpa3sy8tp9n54H+rmniGMbTRxMFAT3jgM/LaQyOXW05QusF9xdfVJM8pw8A 6cj9SnG8f33/+OX9+ek6Ochta2SHVNfrUx0RBjFNbBz29PDt4/rWN/87OdtnE5SmOgWUBhbJ O51xoo8xCmf74sDnwJUqYJc+bsrONDEDCJooQzlIYButD4FqhFoPqoDzxdrAMrSyp8evEDJZ UvfQZqadQEchQ2AXvX1aMDt+jIVreQoKadpumggzmIQJLz30ny+ByUqYKKXKDtO0NToNVWyi yekZwwv91A/F9DPGMEKL/Y8vDdVT/8W0k+82Kzmjgp3Ewby/8V/nqPslKehjRt3JEaF8OkFe Bh53Mkv6OCZVvrVDttVeGd++f3hNcUWamw99qM8qDgPbE0pBowg9N2PfYwSaCIN1+S7TNIUO iHyXeKa0JkoYxj13iVR7Du/Xt68PL0/dTbs1enX6DJ8tGKzHp+wyTBAex/C+zUXjWZ6o57w8 I+KLuqQT34WXnptAA4NdkD48DIJ8uZzTp5xNtF7/FSKK4e9IyrstXc/7cjb1vOFq0dyO0sxn qxGaoA6yV6zWtM1+Sxnf3Xl8ZFsSfNd2nEJNdk/8wZaw5Gx1M6MlepNofTMbGQq9JkbalqwX c3qLsmgWIzSwNd4ulpsRIk7vBB1BXszm9JVNS5OGp9Jz2d3RZAkLBK3mbIkwSCMq6kbqlJ/Z /PbHME0tiY4QldmJnRhtpNFRHdLR2QaCjcczqiUR93LlufPrOgB2S/qGq5tnybwqswPfOxGy CcpTfDNdjKy5cznaNlQ0Vh7TjI6I5SBnjjRvy+nzs5ttJT4dISjhyjgUurNOfVa5nBOgisW5 pODbS0CBUR8Ff/OcQoIsyPJSe337kSBSW36RHQm/5HawhQ6lIsX3oh11+DBGFskTttSoRIgs qUcJZpSmpo6gtFMdUZRx5Av5nmxt4kTw06ihgBiKAGT4OFTFDxDBDFk6VpkOBb+w3HMXkenn 2YC7dBxeHZKjPJ/PbCgT7+FRt7Ud8OGCOjoUqgb5GIzC7bkEUiQq5rQnxr0mwJ6VvAg9lyT1 +nEe2zBUluKmd0miZcaHtycV2Uj8mk1cpyNU4BvGh/iJv2svcguMYSjvzPsKDQb5zVq/GgrS LgEt2KmXq7bRIYgBlOg34zqZWCcpOCKJFVDj87psJ10W5xyQkjRbVxSao7DTHhSK7PMdS8K+ oUdt3EV1e+dgTcgDmoP+8vD28Igiey/iUFlaV+JH33sPm3WVl7bWS3tKKDDZkFgFVsdgUO6j a9pn7fr2/PC1H01Nbxk6kA23HkbSiPV8OSWB5tvsWeuMbw1XQzlbLZdTVh0ZgBxPPII6QuH9 ji6TaxNEX0G0HsKkSMIU+K0tnXtaqMsG470XE1vgg5VJOESin28PAzr7hKUXFTzK21FM5viu y9G98iBIVaSsOuwHmVcQ4oOeSDGSUyEZXd9Ixt7MPRbsZl9QgXyscsv5en2mi86saGUuBpdR BvPkfMh9FaSiSFIT5txvexaZxuI60M3ryy9ID9moVaQ0doQpdJ0D7rKQx3RGRy+xaWa9CnQo Y77Ty1U//hwmwjXYr+lUiE1/JbqrIhKup3p1M4yHpeAW2+D5gMVwQyqKSGaeiyRNAoPkbwJW IRZlv4sahLcPW4J22c8cCjssiQH05vlJJj3YsVwvHR8jE0F1kjMhqcWg1oGvGlJE4kjtkhox XqTkPD33C9XggV1Y8tlKyFvaz1WTAHe5Wpz7676G/x9jV7LlNq5kf8XL7kX14zwsekFRlMQy J4vU4NzoZNnZdp62nW5n+jz77xsBcMBwwfSiXKm4QcwIBIBAhLVOo5Lx95CR1T4a7BrHn4y+ 8RPrFfPINt44dP2rnEyvWYOPnU3lYSCTt7eqGytng1YanzOVDbmTWF9AcrpL5D4xy32ZM33h CEa5zrLW6+S1Eu0XZynU3O5cP0SfdjBUzJxw7RtK4ER/fRQL34uW0SLA1yffBS2CjPonw6su q03BVLIbvbCBGqamlukVIC+TXKMFZWiEZ4Ot7QlLc9v3lqPy9q61GQ2RF78BXgryx4JjUKNl vAhqr3rHP08OTDVanhsDjYemPSGNiHtNofqz4licEc6vp6XMF9pNOCKYn1SOr0XAOC67urwd WFtWlthkDH7LdpCbWqrAqKwRnTMgcDPImJzfZrxqFFdVuwwa9B4uYyxzqR0nEo/3w3Y1wiXi css146126g8Z/NuxtXxvffK4sEzz0wAm194GUFzfN22PELaHKApckqaznFktLDkbKdCFB514 lMrtImt3rc0Y5W0N9VUelUwbyfQUl9OLc//fXhhJ6apb7iFn/3WW1h1gsAT+SdnrvvoEVbFL GBlLLxd3qyuJEQ9bFspGe3Uj483p3A5QVSSu80BvK4/t9b1aqB3Rh8IsKhsZvn/XeYEdUZ0P sxW2eq+c200U7i8UkEf3rZMzdGPPvXShaO/jiS1T5Gdk9m0tLpG8HNzmyUWj5uEno6wNW5XM w4EOGo1tzBQHqUSsT7PTzPrnl5fH718efrGyUub558fvsATkR1icZrAkq6po9oWR6LQ2GFSR oUauhjzwHTVQ3Qh1eZaGATK9Ujl+mal2ZaM6Q56AY7HXs+JhFacvVjKrq2veVVu5h1fbTc1l 9CROZyGWPKbz03kIZF8+Pf14fPn89Vnrg2rfbkqti4nY5TtEzOQiawnPmc3HSuRUeen60W3a G1Y4Rv/89Pyy6gdfZFq6IVesdGLkA+JVJ9bbOIwMGj2PU4ll4uiUXj6ZJgr5GQtUUsNtZj19 FAjbWjZKkfEX756yD8NUqxYjRr5j0NJIG+ln+VXeSOi4Cdwy4X8/vzx8ffMP+bQWzfrmP76y 9v7y+83D138ePpIZzr9Grr/Y3p982P2n1vJ8gdemPsklc0Zui77cN9wTvyrXNbCvsrMdlc4k tCm1sMDjL85kKvpELuri7GkkvkBrTa9roBPtJlxXlM3fNifgfEKrygAnnaNA8VfEh4W4nlSJ Lb+L1GhqvF+iXDT5w2YiePLPkWtmEOamV2p4fAsfAHBPCr2fe4HrjCuF8tkI4QsAPmbrATqH FeBxZyRIWtYOWSctaKzWaTr+wtSbkQVTcPpsKOFGiPBLrYnA2XJvjKvOVt5vbB/DoH8J8XU/ Wq1BsTVkdJt5ns/X2pfPQqqPH0sTU7FJoTkmLkJBoFCJ6e7qpVGsi2IodvWmPqEHlxwyZycn jS5vzWlJHnGsL14WFlo3XmFhYgVuHmXdRfrOtxxBdPBwXAn3cOjVH4riI26iejmWjNI9/Eiq V73ALN98eST3ucs4oNRJV1ry61T/PezniuFhM3TEYeRFtDEvGIiHJZpXJb0qecs3UKBJJB5+ qaKUcEJGkTjn+YmCT9y/PP0wV/ShYyV6+vC/sDysGm6YJCzZNjeNzkZLvNH0lKy1rBFfJZO8 +48fH8lQj01InvHzf8keC8zyzNXTNbkpzMgI3HjISTkyWtkoiqbET1rc7sQ+Gy+GpCzYXzgL AUjbMhr8dmVxKpUZm2oCej/2FO1jRq6d5yBrrIlhm6VO5JlJgoV0guq88/zeSdTdg46aSHtt st4kg/BlI0I+peQD0oWurh0z/eqGDgy6NjEM9e4Kipxd4zjyHBPpsqqGZX6bOCEqQpsXVYsP TmeWy2ofa+qWSr/tQe9rjnrmHmzPoO3GuGd+DGo7YSloo2xzFYf7Bj2x00OTbug+c3EtCRlX NxOgn7CodKoMSEw9x1HIdeeGsYkNFOaQO1JE/b1y/TaxKCrFQkziENSW0ZPQQTmJpV61+dMH ghFnTgawtaDKgnSCiYPJ7UOT7TMkEeigITPpeR/ElQ9GAQcSGyC7GOZhXLgmmp/6oa2FOi7t yOg3WzMMAlPZ+4HibdyqsmYb29CdnWS2O23zMn1SHt+pkkhIZn1XwIvAnbiC5uKgEaSUU7mR pLMckDx8ffrx+83X++/f2TaMWwEBXZB/GQd2t3ecYQ4eqRA1WSIRbz2s1Oiaw5bL9pJ1WkuT QwP2P8d1NPq83oHtnGA4Wg2fRB9XF3zez1H+oPOMFUDR2Jsk6mO0Ggi4aO5cLzZKVXfkYtD+ mR5BlFMtJ9DCQqdyIldrG2VrJkZTVmfh1mPzoJVlucCmS06V2F510vs+V+c/J6/GmeQcZrBS Fb8rzvaRd3c1cszq7W2nW95Np1v2QT+fWnDqw6/vTA1Ek2HNDn1kaKzdsae4ovqcEBNTH8Gc 6pnVG+m6xYnKxE8R/ZVG7fJdEtrH59CVuZe4jr6309pGCJLd1mwzo8U8vX7ZsbxrG30kbrZs kfESjUpqYijJ68OQ3wpTiN7+zpq72zBURqNVXRLDU4YZDaPQ6ICtKdQkZc3sljiCgXREg0+6 nCbHrcbUYz/0UejBZXfBU9fTSjm8q69JpBOFjbRGZUu+7+pzmYih0vmgk+fwE6udvxmSq548 D95MzwBdvYw8KiuH5DsNDh23ue+5V7lQIHN1iO33x2KfDe3R7C6m9p/QNOUhGHnV3L/+/Tie YtT3zy9K1S4ueZweKApKNhxlWbgg294LEg8j7kVZkRZIX5SmAb99N3GMp3Lg235fQqEHKiJX sP9yrwR4YQmKExfy3VQr5Rf0XgkPN5Opvuq2RIWwyFR4LGEw1HRQrCSFw/Nx6ZKV0lneDqg8 +G2IyoP8CqkcCS5d6FwxECeODXBt9UkKBxuWq0xuvDZgxoEhaev0PuyWnZHiKTDu+F3Sqxci OiWQUIrs+bZtsKG6ztgPlvfBEp9Vu9OZ6M8B2/HIrNPxAUynGnIvDZHNkcxVD5HPxyZM411j ezUrMf1ZWedjZtwTUzxSjM56nBUTpHa3w0x30jg+FjzkhBoqakxFxZYTRzIbkEFrZftT11Xv zfYUdPNQEzHx6IdSPbaZwKUtIPd3rJCmzUW2zW+bbGCyVykFUwWS1AtvxnPKaQ7yJfdG0ZdP 0m5vJGt5iaV4pi5WBRTE2Mhhhsdi3ZKkq5MIHkvRqfCe5jNTz5RNwvRtfvEcNzTpJHoiB9MT G10RVQqCfWpNLFWxb2/F2eJacmTqN0gkTRVk6FIo4e9oIhopbd55Md6Azc1FZ5pXs5Y6Xfw2 O47oSXLbnYrqts9OFkdVU6psLLkx9pejsXhmkTjiuaCwoy5IOq4cEnGsItscsBHh++Z3x2vo mvx8wDu+CSwq51yxCSKd24tX2pkYksRMU1X7lyLwboU5DX4UIpMLqfhuEMaxmaow7m9Hlki+ w5c+5nq/DUl9VCbeYilS62eOzou8FH3LhmjghmtDlHOkoEgEeGFsSzX28VtkiSdMoKufearV Gz8ADcn3KU4KR8K4x0FjYRp2fJ6IVTZwURrHIQ3C9cKf8t51HItb26mC2zRNoYMKbZ3gP29n NTyRII43kgfgkqQRPvfB46Axouo2DtxATlJB0HBZGGrX8Vz8LUEo5JrKEdk/Rlc4CodvzdmN Y9jkEk/qQfm2cAzxVT7gk4HADliKxKAIW4dLHDGMlSsgPMxmHqbmrtamz+PI0lHX8rbLKJJ2 w/aU6Jpm5qTnKLn6wHBKXj10nenDtXNNMje6JB/MAOojHDGYQvp6SJ7ODNppzUQvw7f06Aal uYtdtjtD/oxljsTb7c1kd3Hox2EPgIFti09DNhQ9ynNfhW5iMd2WeDynx0+sRg6mCmVm3ozs wUyFOQ9+LCRYDuUhcn0wrEs6llbl0AwNSYyy+zsP1sY6U06OrueBvKqyKbQYjjM03cSsJCxE NRgDAoitgHqrq4ApHI1kbOnC5V3m8FxclsDzPAtgKX3gRdZyeNFaOUiHiJwIJMsRN0XJcijC RycyT4qWT4nBd2M0pCg8tRKgVQH81AIEcGxzyOJAReH5g8KmqLB55zuwsNWV4rztMjAzhjwK 4ZJa1RHeVCwM8asMa6sqg9E4r+MEFydZWzbICwpKLEGjtMbCoKrT9c5hDGvSgsGwDGno+ZYm ZlCAT81UnrV27PIk9iMwHggIPFjVZsjF8WXZD5YoSjNrPrAJho7tZI44Bg3NALbhBQKEgNQJ ANDlday+yhNAm+e3LsHSr80BkV/gpNJk6FR/HDOf7sJCVs681QG8YTvUbleYaZab+pbvdh3I rmz67nSkGHEQPfqhh5UfBiVOBGOUzRxdHwYO/rqvosT11+RKVXtsUwuVXL68xOtClvH4ibvW XKN8hzNBiHHnleXBc2xCmiEhltJMViIZQEgQBDi1JEqgDOquBVuH1sQQ26sFTuBB8c+w0I/i tb3CKd+mjv5Id4E86Mhy4rhuu8JFy/VdFbkOkg+XGq8J/WFwQ1QIBqxqtgz3f8H0ctA7i3m9 qUPXBVuQ14ZrUedu4PjoYwZ5bMu1/nFEh3egTHWfB3G9gqSghQW28VMobPv8EEbe+jaP8/jo 6mbmGIYeDvK+rqMItmK2zV0v2Sav7Iz7WLlRngHWSIlFGDUZtluUGZAYZ3TfQyrKkMdQMAyH OoeXxjND3bloieF0sBxzOpzdDAmc9cWYWCwe0CSW0HJNN7FM9wsrtTqXWZREGSrmeXA9d20S nofEw+cNl8SPY98SlFLiSVz8GHrhUGOoyoC3teWcrs1IzgDktKCTmBpNglHSFRPxFn8uMk/U gN0xg9jcPOwsSTOsOKztu3X7AJkun3pybSurDAIFRxvKXvUnNmFFXRz3RUP+dsYrpSVotKMz a1vfidzuTNrlWHInUrfhqEWrnTimcLD79kxhaLvbpYShzxD/LiuPwjHMaymTQyTyIApt2qYP jCQBPhcRw5us2fN/MLwUQzk77U4TFz4UJVP5VY5tcd4di3erPEtXn6psKPHb15GHTAyXGkym NtLQmlOdrLZR1lPh2smEQf1UWPqufDjaIRsDWtiqm/SsFjF7F4Af9g4Pv+6f35Tfnl9+/PzK 30nQ65uvyDnUUJLreTCFSpMmXpOjeh2zOPRwX4z3+q8XSfiwuv/6/PPbJ3t5RxtnuRCTnwXL pyLdoX788OPp4cvDh5cfT98eP6w0ST+YVV9o/Ap5p8ZeWMC6qG3ueoVHi7U2+oNCTuWRr4GN wgqDaZM+Pw4zkEs25Idtuzcp2nvGmdy0l+x9e1Ldxk+g8LPAn2LfioakIVr0ZnbyR8pfulB6 DkjPsDjmfXq5f/nw+ePTpzfdj4eXx68PTz9f3uyfWDN9e9LdVI/pMNVgzIZkkz1Bw+Hw0ont bpjTQzOfnz+D9hxnsAkIo7eFrNqKzUXn1uAU6jzPKiQ5yKrXiVLUk+JuHwOhA4DRF44J3JXl kQx4TKSuGP9WMr/h1wRd4qC2mF9iXFEmoyU2QHYDy8JxUZGVF5uoNXUM9d0FJMxfvAEyRVSC GR2bcIjcBGa0GJqIs5i10kzX5KCtsyt3o4RynxeulZRP9J4Fl70YTmtfjp68UJnoEcVtf91s cLE4vNokixeilQLwUVXnMI9sqLI+Xv1aPAAA41oITDhuuNRea5OBPOm6INVZ3MLSVmUdu45L swa2Rxn5jlP0GysDuVzKPCOByTT2r3/unx8+LjItv//xUVrkyB9oDmTCduiU6OusAF3b9+VG cwvVowczm7zOIDsBRiG5u4f/+fntAz1knNxsGqtxvdsa4cCJluVDkgYh8hvH4d6PZRcHE00+ xKGOkyzE1eSzwUtix3jeK7OQU5Yb+eJSnM8s0KHKZRMXArjjXed61bPbbNMwduvL2ZaXZuGz 0NRzW95a4/tpxUUJAbNVuZK1oNpd7FKK9DYJHkDOqPzWaSYmiJgabS3I2DxC9FuZ420/70Fa Wi3vDehrviR7ev10Bq2k8+NQIynLzc0Iu/BAhcBRca26rO/1dPfZUNCT3/62t/gN5h2VuxS4 baUmpuEOUQ9lFDA5YXH4Te8ZOt7C8ndEZfl0FX6IRC56yxxFlyJE8RtCJRA+2VUafy+R1+1W fYxF0NuitmVMMLcrhMe1C6p152SKqM8H3fhqpGpvYhdqaIxdQU/Q6eICy3dXMzUJTGqSOmZp yKATZJuk8C5zQRMtpSFSrrImmnqwyqlFs/PcTW0bZqQmqOmYVnsT5ZapEfhmutVI+pRv3MAx Ja9SRNad2FSSl096riGTh9CxRHPgcB4OIbyM4+jbxNEadNT09Gz6Il9bNfoyiKOrtq3iQB06 LiBpVoec/vZ9wkaup3PLjgzEs2Vj6cw2vgsad0YT6SNZtAmgO+a11vX8FdF08AB2sOKVUTlF oIGbKmIxFyD7rtiWplIuzZacaEN5y2rfD6+3oc+1gUl41flpYBsBs1Go8glLsqqRkyM+So2H V2Rw6DohXq2EpaLFr4wAY/s6Jxiskkgyg9Spnhsb7SRerUGy8lxNSsRsG6In0StFTuGtnwR7 IDdG1R3zjBhbGWB8yWk/pfndG6mGqTRPbQSzkzXm36WiiKLW+V40RZUpoSpYspfK9WIfTLKq 9kPfN0qR+2GSrjRiXEXRFb9KEd9HfhK/wpD6V6TQc1h70Ee08zXRNSbwSJ7rbvpTS4kIVFfS BL1Ab4JLHboW89kJtg6iS00LpdYDtbk8MlrgOAZNuYBYaGbR9UuJhYYGKi+BJf4GLS3toRbv US2xXmQmpt2iS0g1HS8xxDbb11Yd95CDIA70OsL3ugb7Tmuj6RaOhLDmIpCfH/UdWN1lJ4C2 XeGUCUuUjvRlHy0zSVhBI2BXXsn1flsNmexocWEgf6gn4Rq5PyntsvDQhQa/z5C5pBOUiY+p nHtN9iEeUktjlA/tbxP17lkCt6EPTfgllo3uk1zCxvlXbVskKk1G1uv0aMmSGt9qr6ej7bwl RNvYLoi0VTYxfUhLva/t5lQkgoVgiCcbc2uICxGhX2kakYwjjUkajFkT+mFo6WDLW9yFoeyr 1HcsX5NJkhe7+EXjwrZmTStxMaUohk3AEdig/IXNFRfO+h5eZbG1zKiBvPp9AkdHJVZTGxTF Ec512iq+0qLEFiY4hJ3CxXeYq3UwH/coWBIFsBYciizzftxhvpbvuOHEUAg7nEOxb4VS2Bvo mZKGJt6rrZl3LmsnZD0qMXVh4Nr6tkuSEFncqCyRZTzX3bs4tUSQlLjYTtvF5i0qkyUmocqU vjYQxc5jtU7dppQdfEmAsZmXsN3prlAs3iTsnCROZIcSO5RiSPVUsADvcvJM3lkc3C98fNO+ 2gjLHt6EmO6E6ObmW8KqPcXMhrURatWmbfvBpjMIlvOx2G1OyDBG5+wuUEUx1LQFoh3wZgM/ YrVyoswCJV4AF2IyvHQjHzYGbdQ8Hw8IsRv14Bibdrp2LLXIN466/rooMLe8BpasJM92nuvJ 665OJNXRcNkqqZ6qW0YJMF7ML5i+P1GR0NJKYqeDp4716CofT7WWzIjStEO5U2pE1K5UfDGN pFtxPPK43X/DnTK5iyZO0jMVH/s8Z3GloacqrhUzpCkt8N71MsajJqj7AOM5jyGN+hA5Z+Ec erCSE12Pnaq+SAjHx5mM5ZiVTX/Itu1FZ1Oqv1RduuSTALaBIWdnlttAwbjZHs/cLXpfVEVu 3gzWDx8f76dt1cvv77L3lbETsprug4x+EGjWZFW7vw1nGwPd4w5sD2XnOGbkZMcC9tujDZr8 qdlw7pZAbsPZ8ZZRZakpPjz9AMG+z+W2aLUbNNE6LX8gWcljfnveLOesSqZK4jzT8+PHh6eg evz289cUa13P9RxUkjxdaOqZg0SnXi9Yr3elDmfb87wdnoeKgMRmuC4bHru+2RdIW+DJH7xI ek7CSXVRe+QqQzTQkjJhuyrrDxQY/Zazv6yp7i7N5H1jbDLUNEpHzY7yjYbT+4a6xN5zTBa+ O9FgES0mbsy/PNw/P1BJ+Sj5fP/C/ew+cO+8H80iHB/+7+fD88ubTLhcZkK6OJZ10bChL3vi tRadM20fPz2+3H95M5ylKi0WEWxY6dZkEtTI3m44b3ZlHZ51A53buJEMbd83GV2V8u7u1c9E wIa+4H582Z6wp2eWe5XnVBXSOBrrBkovixjznH+cxnk5zVK0kHLhMFfjt0ofiiyMQ1URF9Kk DGLoaWSBXdX9zSxMOIRNMLi3dh02Eo5AeVhflPwvvMwulYHPjsa0syyOnehgNsIuSpSDDE4W x8qaBGB6pKet2wsdCBpOZzO7lZ9QLci2FvOo3MP06qyqWiyjhm6vSYqlC0T4HRzzlBhnaWPy /T9lV9bcOI6k/4qfdntit6N5iIc2Yh8gkpJQ4tUkJVP1wvC63V2O8VFhu2em99cvEuCBI0HX PlSFlV8SZ2YicSUkGdWTk7PjFjoGGa/3lue82LizViCpOHycWTJR60oLs/5UC9YgkS3+gMwB as0fIgo3Rl5egaWbMMOK76Wpqilp693L/ePT093bX8gBHDHudx3h2/r8I/Lnb4+vbEi9f4XI d/958/3t9f7h/R1Co0ME8+fHf2mqL4rWXYytFBVPSbTxjcGPkbexfJ9sJrvbbdSbTcA0K9y4 Ae6QSSzoEozAi7b2N+r6qQCS1vfRSeUEB758fXuh5r5HkKLmF99zCE08H9uAEUxnVlN/Y7QL hFKOAjNNoPvblcpfai9qixqzl4KB+c3XYdftB8Ykm/wf63fe8U3azoy6h8MsWxiMe6ljygr7 4inJSWiVYL4NRG6w1kHgvtk8AGxifF9l4QgdzDIveGz2x0gGndahXRerl+xncoBt2M5oGOop nVpHi947Cmweh6zUIba6N7d65LqGGglyb2gXLJRGG31AmeljLQ0NrwN3YxcsjgemKl/qyHFM xb/1Yvkq80Tdbh2kXznd3poAm7W/1L0volBIQgeyfKeIOiLBkRsZjZb0XiAslerVoqL98GIT bZ46GqFKwmNE87nMozFgZNzyoY8efZDwrSEMQA7UaDcKYJ0VT1xbP97a7R45xTEimcc29hyk kecGlRr58ZnZqH88wJWTG3jjCWntc52GG8d3saOkMsdoS5QszeSX8fEXwXL/yniYkYTtzKkE hjWMAu/YGpbWmoI4bJM2Nx9/vrBJhZYs+DJwcXvq6ekgjcYvhv/H9/sHNvK/PLzCi2QPT9/N 9OZmj3zHEIEi8JSIGYKKTFWZ01TQmqaOp8yT7fmLnrp7fni7Y13ywkaZ+eU/rWhsskBLWCDI jUwLSuoaQ440CAzjSgvWahtTnDkd2yJY4CDGP4vwXf6FAQ1qNsO+u0UK6QeIDlcXNlHH1/UW BnSjY4FjxOPhdDzy1MwQfZJxEKJxtiTY8Jk4NTKpoXYKc+FeMXwcRrPYItTICxCbxuiRZx/a GByaTipQI7S80WdtFmu+gcGwXW/UbWgOtNXF9WNMVC9tGHprolp028JBo0hIuOm7A1l5a3Am 1yJym07uHAcluy6W9sXBRh8O+PiBoYXDRQ8tjHajcXynTnyjAcuqKh13gvRUg6LK0Wkjh5sv waZEitsGp5DYRx8OG3aXUTdZckBmPwwJdgTbP5Jtop5e1sXZSXHJcdPLrXLOaOZMcRrUg9hD GoecIh+N+SLg9HYbYaaX0WMnGi76+8BjIZWS8LLtn+7ev0kjheFzwHax3dOBQ3ih0e2MGm5C uXXUbMSAXFN9BF0GXx3T1q7P5fJgbfLn+8fr8+P/PsDSGh+xjek454d3Bmv1oo2Mwvw49vAL CSpb7CnnQnVQ9nPNDOSzIRq6jdVoUArMV7/wHXGTDz3pLnEVnaccFdKx0FI/jvlWzFOD9mio ix40lZl+7VzlfRgZ6xPPUU7lKVig7CKr2MaKFX3OPgxaa6E5HmELrwpbstm0sTrHUnBwLkPc JTAFBA2RIrPtE8dxLVLEMW8Fs3TemLVnq0IGjfhpuZhXZ2vpOG7akKVhbkOJ/M9k66gBo1TN 9dwAP8Qhs9Fu69quNklsDTO4tkuCSuf7jttgA4Mis4WbuqxlN5ZW5/iO1XyjDBaIzZKN2fvD TXrZ3ezfXl8+2Cfv09OJ/Ljn+webcd+9/Xbz0/vdB5sNPH48/O3md4l1LAYs47bdzom3ylrK SIZITJa14ba7OFtHCp80E2XtHImh6yKsoeLF8P0WpkzqTT5OjeO09bUYSVhV7/m7j/9x8/Hw xiZ3H2+Pd09qpZVk06Y/WSo3meHES1Ot2BTU1ChhGcebCDvFsKD+NBYx0s/tj/RL0nsbV29N TpRPefAcOl/WaCB9zVnf+SFG3GpVCo7uRnUvpr70YszQTMKhxf6aP9riC6WSLKzKlFZhGC+d 2DeIrCZxqOfPB1c0biegl6x1+62e1GgWUvWU0QKJbjALwDLqdX6ixi5bejHEiBHWtWabMpFD L2bxLFs25Gk5MmVBugbeMCMutpi3NGjkykLa3fz0Y5rU1swrsXYqgIZOs7p6kdW4CNRD5NTX iEyJUz3tnE1yY5sMiIputJ4r+w4TZ6ZXAT7nmbTJR/1eXjK6g24odlqBR3Ki58WACABrdiMD HgplZNjiQ7BU8VgtDtlvHXUbF6hZ4lqOM01q6qP+o+i71GODp36YA6gbVz/j0XS5F/tGuwuy zZ5yGxzr33xNXTYWw957lRoDBYhzMg4QVnsL5iHWlUk0m+eiVM0oCOsXTTpEupblWb6+fXy7 IWzi93h/9/LL6fXt4e7lplsU65eED1tpd7GWjImn5ziazFZN4Hr6CApEV1eSXcJmYPpAkh/S zvf1REdqgFLVEG8CYF2xIimgsmjoPS575zjwtKIK2sAaQ89qRC4bNDzUlJk7WzDapv8fE7ZF Q0WOahXb7KnnmEF0eMbqAP9vn5dGFq4ErtdrDcOdiI0/P/g5HRWRErx5fXn6a/QUf6nzXE1V WbBdRjdWO2b3jdpJoLqaKqblWTKdwJnm6ze/v74J10bNlhlof9tfvxiSU+6O6DMGM6i5KYxW 62rIaZ6eNNzV2Di2tDmqBopcyDZjDvN5X9eJNj7khqIwYq/pFOl2zIX1TcMShoHmFdPeC5zg onU9TIw8wzsB0+1rhTpWzbn1icbYJlXnZRpnlmflfMs4eX1+fn2R7v/+lJWB43nu3+STVsby 1GTZna3uU9bKloRtxiJCq72+Pr3DS+xMkh6eXr/fvDz806Ya6bkorsMeORdoHrfgiR/e7r5/ gwvOyDPylwMZSIPf4qRFP9D6fPHtl+bTpjAUgzCavE42bT1JZLGi9nb3/HDzP3/+/jtr1lTf gtmzVi1SCNq/tCqj8aPBV5kk/U2b4pY02cCmlanyVSoHTGG/eQgxNtQh51EhX/ZvT/O8yRIT SKr6yvIgBkALcsh2OVU/aa8tnhYAaFoAyGnNbQ2lYv1AD+WQlWzijMUdnHJUDlpBA2T7rGmy dJDv/AMz63/lsWdoHJKccno4quWFd8tAYWrleBID4FU2KGpHebBGs2u/sXnpP+/ekCA80HK0 ac5qgnXh6b9ZE+4rZonh7n2ptyQTrCRPUq2pkusuazzH4sLBZy3NWSNii1a8N9tOzQbCyYEe tFpGrZvyACq2fMoLZZ2F59LQi9r5QNAv9k5k2+tvEy73m/wxjdD9HOjT6aVPmV0Qh4IJbVbS M+6LS3zXtqO/nrHD/QvTAc/DFhwIakTSTI2sqfRdd3U9PLq5QC2q4et954NpsDCTi/ZcyExc K/jIQZIkw5w04KCGCNF28NFJywTKj32ATGUVsxBUNWqna1NpCfvpHps0M+RSVWlVuRr/pYtD dPwHPW9ompW66p00VfVVu8h0U7fgIw2iexZDdlFDfiqgeKDeUv5uvIe8kG4LRgo0Ujewzmh0 c6gFRQEl2RXDoe822uVmMJ0kRlceoBDiYrcu3BkT7rIqbCrBfGYl0vZC44eYD9pYNWGmVRD7 NBapaWEqGGm1jtSVa7BqBamxOWZR1GBvlbvZE006846vDjO+veZSTNtb2JjPh4zd3f3fnx7/ +PbBJgrMmk8XKxCXhaHiDgCcX6VoIOLZFCqMS2Ms+BjxVK7mAorIGavpi8uEBhmJr7SA/J7h LR69dOGab2EhKYzR5Va/ZzxxrD5qqUDqfGcBV97XlKq9XObE2y30HWzM03i2WOnyOg6C3oIo F7Cl8pAyreSnzRdIuliJFHX1qb65vbSof5L4aBe+pLJeWAdFOXbNYmHapaErK6mUZZP0SVmi rZClsuv/ieJM3zNHD+KW6yf2cbfumPKX2BaVqw4Vqs/G1GJKoa3OpRxwHn4OcAlEjxylIhBL l6ksRd8nUxIs00ELMgKkOikMwpDlqUmkWbINYpWeFiQrDzD+GOkcb9OsVkkNuS2Ya6cSmWqL GCXVfp9XRMv4C+tEkzLQsj536rWwVjQKxBhXiQXt4cl0NdrfVKmqxa87TDhvMbxprZd5eKak h6E5bf/b99RUpzuEVZ4O46UlJO26qZJhryV6yZpd1WYc3BvVWVBadtgeFS+zGpNlJk1fY23U N+fS6kvzLuzygbklNOXB3bUyi4fp9XRbuPlVJta2LerzxnGHM5FnmryL69wflAkYz6U3aSTZ RgO/gqHVV78xwomwRKB9n1eVJsBFV5OLWZWGknw4u2GAv+IxVwcp3/gQNblkq+D0osDyIoLo HKoXhqRuHKOvlvAawR6PXksabAK9aB2lfY3R+KxW03RyjmNXT5bRPITm67Rbz6jC1873LXMV wHddHGFjLZdE4rhOqKeYFJQ1leWTqr8yl2YUH+UzgVjLkbQbL7Y8lCLgEHWDhcb0e80OpqTJ ifbaJiMf+Ds0lmRycsW+EUnhhwjnNNFntuY0N5rgi9BhSioFOkcHJEuOla9ZGVqm9FBhNIpS 0y84b48za2Q2CrjOydWLPJJtvZKVretHmoQKoplU6259u5ACHGLb4ADui1g3Bpw0XauE1TZt EDumfGYhFvFfX/79A1bO/3j4gBXQu99+YxOEx6ePnx9fbn5/fHuGtSOxtA6fjatI0rH0MT1N jZm/70bygYCZqAaCE83eZXnc2+RygrUcTlVzcD09i7zKTdkiWcsmTOhrOmJIJ+r9fKCWhYde 4hGmsj9qnk9D646mmt1tisz3DNLWMCmcGKAvJcKQUJU0udBdZgzS45qA5bsLJbGnHmWRyML2 Wj9lM+uq1XTp0quPmzLStdiLcYPL0jH9md9w0KWD6OJHRKfqRQOAe3pWTQAO5qJywiqT8Ol2 2Sdp1RArfQBP0eo8ABsf+FnGJO+yk1kZAYsgClidBN7SQ8FmAPirNirrheJRvlQumCb8AJtY 4/20doyY9aQ0FEHiYOMh/pifwaaLvY4Oqbq2ofHwk2mfZtRS3wk2ZkbLooLe25gLNE+mZuk1 c2syMzFWg1FwkIxAVPIKivg1k674zuaMfy2IhsfS2LSyrbQ6wasN05sxK5MnYJsmRoa/yTBS gIuITZWFqwZR79G8C3pqKj6D6Co94V1S8PcsqNcOt0fadrl96pMx1Sj51hHjNvyPBa0Tc7ur fU3GC6wwRO3fHh7e7++eHm6S+jwfRxy3FhfWMbIB8sl/qbar5ROnfCBtg9QfkJZQHCh+bXGA nJne9pbUWktqbZ3SPdZ5AGasEHaZEaWhyZ7meNrZWDsjbdiBhNKetd2V6fT7WtMrIu/BI+Sh 5zpjB8vDOG1Ot1WFSLeMjK/LMH9qSA3XWhTVPh5wUe1OzNdPLq15MIdAPcYFFF4T8vz0+sfj /c33p7sP9vtZDWsNHoOIUESxCNES3h/4xpnm/C5Yk6bGVHaBu4rBn2bQpQVsS7KBpdMNkcoE ZqfZkyRbYaLlCqg9C6XiYhkJ1ig+LTGX5PXEgIOiL9orfHVa4IkcekuBMF4IJNVVBAmvYOOF cbezuf1c2Dh3t3Vc5armDwiatl7SE55e29q9GFjtH3lsIyZLZstUDzXh07t3dgSzyQrOumFV 9WZG3q8rzTYzFqTfquEDDZamG28Xmtmd2Hw/5s7R6JKtlm6MD7ZSLHgfySwJUEUM8TVs0EN/ KSznlX7lTNWeiVudZxfVa1yJyu97N+zL8Z67EQBrTpgHGkSHLgEZZlr6CnqxMaYVC0O6b3WJ WA36jxZZz9uMsqcjzB4jXTGjeeoa026Foe5b+wxM4mOdQbCVQM7UaxuYCsBD0YCjtpLN+Eob 2v4jJgRLNvpGdiPnZwrXd/v6QNTMvvazr7FQdI4uRVxMCKxE4O8l/pYwqkjQqNn1nJdVV4rJ Bv7zcO5ojrQJYG6kL4AsSG9FwhVE3+2VcQhpsaq1nMl1mQm6/TE+/Omfme20cd0YKetps9F3 UEZ6oM+KRnooXyGQ6Rtj3VQggY++PCExBGgR8iQIPSSvXerFONANbYKo7/TqlUXfktYPcn2u uQBIRgJAmkcAgQ0IMWDj5Rs0cwYEqLUZIesJFpVvXc4ED36ZXOGJbCtfE0eIVnvjRagt48iP VaHvP5NuxuW7+jr+BGwQFeX0LUaHYExYQr3naGHLJyglkYeGgZsZCn0ZAajctbBIZNZGrm+s cI6It0GfIZ8ZYt9F5AzoHqJlgq4G5ZhXBboixIwiLcsKPCQHE+g5cvzQotZPuGXofSyVZYvK Dcf8IFob/jhP4CD6yZEwsia89fCLl2ruq6ogWDC3U2SOAW0Rb91wuE3SZf1vhWeMo2oy1Unh hjHSYwBEMSLwI4D3Pwe3yCLDCNgGOIDj0PYancTlO1hzjIC1TEy+Y2JHVkoVuN6/PjU5TLB9 9NWUmSFnow9qmJuOWaF4aNPbtc/ZpMM1Vu8nBL03LjNY5isMib1Pc470vdaZDJ+ikIuIEyfb v0AGAk7Gv2gPXa5eaV+mN2METYN+KIhY+7UguOzMaJOxP4ylY8ECx/EGwv7n0as/mdGNbrTF jGsu8ExuC0+5mSQDoYP4AiNgqVVbbALcprUd8T38ULPMYj0jIBgom+Ohk/eOtF6wsuM0coRI jQCI9H3NEQi0+7AyFLnr1eE8lhcXJB7mq9o2mzkHBJtUg/LN0J5s4wi/GDzzLIEbP7GBM6fv 9oigL7DXI6OZAuPCsbDYk0+T3t1gXdH6xPOiDEOEX2ZBsIkDj1OJucxw4tdFh3pA0IPMCgPq JgGCxn+UGFDLBnTMTeJxMy38foTTN+gYAciqwnEG3/ZptDaVAoYY0TZGjzF3SNBxyYFnyBxb MbaO/SjHxGK5TqmwrNkOYIjwQm8jvIu2MTo43rYEggWu5PWVL4hsw1rfmp78tihArQE8uBLY D9zMLPZTGSNLGK6JRAl3RjEVLbGDTjPgoRNyAa2av5qwSb5D1KtvyiqM8okYM2GZHF1gWWAV EGPnoSH1UUP5gs6OXykSRwJoai5DHtXIyeznsONrWVc2ZjVZeeiOaKszxobgiypnyMhsF0h6 2Q4W66bfH+7hpip8gKxMwRdk02WJtQisjo2+IyajtXYrQEXPsDVshXdZfqL4KTGAk2PWNNcV mLJfK3h11t4FU+CCJCTP7Z/XTZXSU3bFD7nyDIyNexW+8j1oK85691CVDW3t7ZcV7bDf2+E8 Syp8O4LDX1nxreghK3bUsmHE8X1jT/qQVw2tzvbKsZy76rwiVqervdq3JO8qfLMA4AvNbvkx IXvxrg0/T2tloAlJ7fnTzo59IbvG3ufdLS2PxJ7vKStbyjR+pWh5wg9u2PHM3md5VlYXPF4/ hys2H1/TdX7Pq2D9aq9/wfqmWSl+Qa789QwrQ5MJwbenQGEdtNrj0aA4RwXbuyuyXZzzjq7L X9nhp4kAq5ouO1nRmpQds0xMA+wdUWcdya+l3W7WzHbBBQornhO49sSE3K5jdUPZkG+FW0LX qoFsBap4nWVwJXolhS4jdhPB0CyHA96ZvQasAHW+YkUay5EvruNNlpWkXTHAbUGa7kt1Xc2i oysKw6xQm63oW3dkymxvgu7YnNtOnOK3Mp1hlB/qFn+/g5tDSotqxST1tCzsdfiaNdVqC3y9 pmyMX1HIlhmtqhmOZ/zmPh/o81rLYNoERfwPEbSDzTdVd2lOELbWNAdnTs/4bD7PJhEnfwje raqOCR3gxjhz7cRN9sV9A9y4kw9ENqoWlfIAGFDhPaCusRzFBIZzXlNwB60M7M/S9i4q4KRJ jsORtMNRvWLOMMsX0nlUYOKHLRY/b6bX3/56f7xn/ZDf/aXElZizEG/t6jnNcFnVPL8+yejF Wj+o2nCxtUBHjpfKmsPUgGi3r9RBKwFJDxk+cnTXeu19s4oJSHtLO8uYURT4o2dF21H5ntVE ma8LjS+UPL++/dV+PN7/HXudZPzkXLZkn7EREt5klpJsmS867PKK57OUqBU0uVhGZsfX94+b ZIkokmJPGo3Zd3RfsFRXqjl84YNzOfhxj1S5CbYeRhYniUdZnQQquwWFkuZg8Etcof0/1p5l uXEcyV/RsTtie0eiRD0Oc6BISmKbIFkEJbPqwnDbKpeibcsryzFV8/WLBEASCSRdNRt76Gor M/EkkEgk8kHBVE4uc/wSty7BTTEDJ7jdrbgSQBYw1+gNZCZn2mX51gHVajIIqomHH3YUPJuO PX9FPeooPJ/OZ35g13broSCfqudgMmqqcHooDm4t4dI7mFZU9Hj6BbXH00dMi5/PKC1Hh13h V8UOPiYVFhKtcsE6pYowWPlksDGJtt1cVUvFdDWjdTkdntTwaqzv13XP1m0cjk7Ugz+aMIEn 1UIau0RO/y0QeRS3wOXcXWhyjvzBmQX0fGqvWuXFDaryam9voi6bJqoGZ6eVsC7J5lDbYNZg Kv/VMKqpv7KXuPYcd5rISNsjiarCABKnWhVVaeivkOZZrS8nv7QBdnoDW8AM/ySBN1XkzVf2 aBI+nWzS6WRlt6gRSqVssRZp5PjX0+nl798mv8sTq9yuR/q69v7yICgIaWj0Wy9I/m4xpzWI 38zqAv8MgWmcOWVpLb7c0LSKG11pz6kQi9ieEHX6HU+/MatebNl0MnMDlcFwq8vp8dFltSA6 bZH3qAm2HawRLhcMfpdXTi9bfJRwymsX0exicRtYx0E10AYRiQjhw2I/gAlCcYlIqs8DaJKf dT1XnhkNFr/lVJ5erxCn8G10VfPZL6PseP16erpCHPbzy9fT4+g3mPbrHXi12Wuom94yyHgS Z8OTqJKm/mwaxe0XR7BA2Cyuovjw8zpA/Wkz4m46sZkpBLfhPFknqZri/pog/s2SdZBRqtBY 3GkawcXAyZyH5d5wcJYoR+wHqFm7pErjbRB+hi23oUVaSTXk3636IE35m7pwKq8oL4ayCm1/ WgA5aUg7bCSqlwFH3LiIAgU5uIm0nPxzFkKkMPpOudcF3d4pRMPyQ9wHRzO7AlgepxvIL0gm OVQkYi8WnCgq4TDdVUzb1FpD6tbIvoZYMWlg7MFdNJstzNDnCdtCZL4kaawAXrtqMr8hQ6+I jwcyZWkVEHsgTrWwCebvPNjSM6nLCkYOIRp+SkI5ARj4VgLGGOPmam6bPTz3YycaABWQW3kb Z0n5ibpRCooI0lQqClxbgJOlAUicKmHOqZmTbUGAIds7DRCCS9ROx8o9mWgXcGwzN72qwV+T Sl5ZVuYEqN/i82R7B2h5//dQveOJfmiaQ1QERNE1OMANqFA0ifTRHK6YMXxKGOA2NmFDbPSW 2upWsgkPZPaUXc6rJsmr1GCICliqkHoIZk2ehIFylmtVip6u7pYL9u5v56/X0e7H6/Hyx2H0 KBMMmzqeLmfWx6Rtm9sy/rw2hVkh3G5RT4UAE5uBUdRvO1pHB1XHreRTyZe4uVn/0xvPlh+Q CWnSpBwbW1cRs4SHH+Z/1XQJD36FDFbhL5AtPd9vOHVca4Ib9X/nMEkFhDx4uBDVl+2nTJJ8 9Ha9ezy9PNr6pOD+/vh0vJyfj9dWk9C6/GCMon65ezo/ymijOoCukFlEdU7Zj+jMmlr0X6c/ Hk6X4/1VppQz62yZd1QtkImpBnR2d7jln9WrU7m93t0LshdIsD0wpK61BcoSKX4vcPqdn1em Aw9Db7r4w/zHy/Xb8e2EZm+QRhIJefFf58vfcqQ//n28/NcoeX49PsiGQ7Lr4i6HMgX+Yg16 fVzFehElj5fHHyO5FmAVJSFSN0bxYunPyEN+uAKVlfX4dn6C+9ZP19TPKDulMrHY27lQoez8 LrumuMLd/f3+CvWIyo+jt9fj8f4bSpNEU1gMTOUjMU8mmdFPvvrgc6CHdw5h5DEis3dJX7xD 5GZv7XzJNFL2+O1839zjFFm2lqzYfe7LRvJX7aSW6r3neNHFAw9eHi7n0wPe5Apkz8U6V2YV 3ai3vAFnHQidS4uoWSKkRF4MvO+rS62Qmm+aOs1q+OP2C+mtqc8X+9LRgqEDZY6UJC2KNsFo sdZNsgObJtM9MC/WKFhXi5EvwS64DG6pHh2SdTmguOnGUybRNo7gq1I1DDxNtGhkf9X10QxK 2AJ18CkVEfru7e/jlYrSbGHaSuokbYI64ZY/8SaJ0wgqR7HLdgy0stAo15Y4PY8pw1rjBqJI GnUUZS6ukzG6Ht8U4WBQ30/pgMy/zdNok+AHcI1im6j18THFeLHA4i5xuyHquKTaPwh9hxZY FoxvXXAbrsACw+VBzWO/aTRKLt11QE1US3JYh1RJKXNtKPm0pVBPiTvzOt6h4JLt1Lrn6yLS d03yYSJNgyyvu+kznh+kQqzZ5VWRmpKghpu7PU+LsKnziZldcwdxMwTfMDqa3ogZg916sy9c QgiDIfiR8W7TcyEK1sfcVOfi07l7G1Lu0iUTB9jX4+UIh+yDOM0fXwy+nIS8Qn2DvC+mhR2A DnGtAwRyJPL8YmPGtxCV7XhEKdmMESnFKzaKxujVbCALq0FW3izJ5PQGCQ9xyEgTlfhT0vHI ojHjtmEUzuCIcQNPEJhoQXMMgyiMwnhB5vm2iKywriZWJihoQtpMyiAMpCEHTSXQn/IyoVQB Rg2dp9RAV4ogZcHgZaWjuqUivRgEeZ0FnPwoh9CnPxa4U7Ni4i9INGOFN4joTnyqr2shu9OB mA2iTVLHkXNvl1MegvEZyQeNTkhRrfPwGCIodgEneYrGc/gzSg4kCcSNsCQbdhBMWq0g6zXM wJiqbrNAGaOWtG4T4pQgJtfCVzWGR7nDU42PqeyRDI1s/TnLpWQG8Vpl+xlZskrgpcnMtgJQ 14d+d8uLJNPP6A5MRqdGasEeBS40tO2LQSN9+0kiHrNmD+YVjopWMWJ+fr/cEykL5JNIkxuu OQoizvS1sSag403E7BcUMQm8DNsF2n6CZAuWZ7nz3hLdNkGx/giKOtJJ/FYBY0nUDhJsRjMH eJvaIBVvfWA8mRhulIjlX+0dXLRWkQfKkBnIoEoDvhioTiyeqXfjgOXXRMNSxjnucA14Ex8q MOkOGKbYpvk6cEYJGFVMnNym14Pugl1SbPVdDNHI0QLWxHqzsLByh6I2FhbUJbMVMiO3e8WS dB0H+6qD93YiYPqhYqAk1XxGx1wnF3RXdyAqN8NQwhDZbm+20gpyACd3U5FOvXHDRD20wl4t v7puytuKSTq8UzwwhiPgEtTcyOQfMpCZ58+d1Y6LgVlLGVhAPcgGnkDMgelQI0VI2yAlgp/t 22cph0+Ux+fz9fh6Od+7XKKMwToQAhv3nbgVImrDpuIDK7DVCwkmvx/RkOrA6/PbI9G2vnT0 +kUAyNsFpWOUSBmRfgtP2wY7sTAAcKtVOnG636h/nX4B4iLdJmWXdkkszJeH29PlaOQAUggx H7/xH2/X4/MofxmF306vv4Pm5v709XRvWE0ZTKtg4kATXzvjOqa52WFM4HzPNhYSxEgi7MHg YA+D7GDKQxoqD/6A70srZ3YXCSpMsg1tDdoR0R1DVHFsULktsYGWWj0PMTw1blCGPdDDBo8e JawaO0z+buB+FlYlCqFpoHiW55ROTJMUXtCXbnvodkRlhric7x7uz89WF/v9Izq5FscLr2j+ R5ZXSti6+EcfNe7T+SLE7oFGPu2TULB0GeCQbOVndSn7gf9mtdOCrsDBSeSn97sn0Xd38LoU iXd45LZEr4595KyPVp304B2SAPmBggGzd+DQkpmPS4MLUx7oYfIAcl4SOzy1/qXfGW2VrsIe ycATZGC4XAVVBfeVlh/Vp6fTy3d6P+iwRodwby5cogTu3BfbUrxVS/8Sh+vUvgzUbJsy/tR2 Vf8cbc+C8OWMstIpVLPND60XXZ5FMQvMJAomkWCWMqJTZgboQwSg+MSh3U00mDPxIhgsHXCe HGK75w4Xh6+vP7bWK+oBG3iIsrBaCfE6dPH9JEGcLGxagxBtK1lOBh4laQu0ZjFJr5A3Q6HH daWuSHLU8ffr/flFn3Pu2BWxuDiFbaKI3jpFo8rkS57R7hWaZMOD1Yz0X9YE2vYJA1lQT2b+ YkG0KVDTqU+riHoSad033KikWM6mTsNKUUE0W1SZPyGdnTVBWS1XCzPNo4Zz5vtjj6ixtYb/ aCSCpov5RBtd56Vh0GLFz4TFWaSThdewgrRNFzebmJlxHaSUuy1YSIDs93JduOGleZlRugCx FtGTvJDI/amYCtM5W985TJha1/4Mss26cNFSbrSUmOsmAQuL/WZj3lN6WBOuSTDYg+cZmNJb xZSML6gwWNufCYGha6uXzmXwDPiTVG8bxXGdbQc4sLyOxMMV81siuZRNocu6kqT9Gt8uj6hO pzNDb6YBdtQZCV54A/Ef1iyYLHHuJhbMBp5E1iwUm2gwG10UeKY5VhRMUS5lFpQRzj+hQGQy Y8DgYAxymirVeDOF5yOi3E3NI+QfLwEDY7+pwz9vJshwn4VTz4y6xViwmPm+A8AvNACcYxtv AVrOSHt1gVn5/sRJXaThgyWQmT2rQ/GRqIS8AjP3fBx9oLpZTidkhAOBWQf+GAnO/xcbj3at KR+jbRGQeRCDaDFeTUofL8+Ft6IDFwjUfDxvEgjzK1h7GaTpQLh5Qbla0Y6SQZTAW2Mz0CN1 gQjMLHlBXXjj2oUtlxgWQkr38UQDe96fHeI0L8CYq4pD67XWOCGUlBsN+DjXiwm1FJSHAe5H WoXebDGxADgAhQQNmHvDaT2dU8ctvOfMcZxRFhZTweDJ0yxrvky6zln3SS4+H/kFWOHNvRUe URbsF8gDIYNUS4hEnfRqpfVQqV84gMhj674lhhcsaRK3hIQfBuACbOz/MvOr+cT6An1IYDlK tPfk4oLsFIM+F0pjozptZTNrMYOlZHBaO6K/gbF7UzGxMOkKpZI9HC8nqISEcsEkKV4DSCbE OWuzVLfpbDwdi+VjQecAbT9ZbwCzmU/GA53SV6S6LfKf2pLJxNijGGW9hoOkjHkYpDFRp1FC K3Jen8QFCh29OxbOPBwLu6dS/PDb8Vm6MnJpdWMe26CrboqdfilHrFCi4i+5xpHHdTw3z1j1 27IXCPnSPHiT4BNeIAXji7EVUQfCFkjlPd8WUzICTMHNg/HwZbmqzRlwRmzJVsg+gDs5wFV0 ldODLi4ttlSeA1M/QROYH5bxrgk1KUr5x4u2nFupizQrFCIHrpDG6RnW9nxqTUL6IbWoaPNB fzw3HgXE7+kSmRP6sxkSlwTEX03p80Tg5qv5YEjBqMgrIZANIPmMjkLG5t7UfCQR54E/WeDf S89YauJ0mC083+FFQUiAHHYn2IkA+/6CFgcUn3AG0RlIfjDpncXrw/vzc5vP3lwDDk4nHj/+ z/vx5f5HZ2/5b3DoiiL+jyJNu3Qc8kVkC9aMd9fz5R/R6e16Of31DvalZhsf0knC4tvd2/GP VJAdH0bp+fw6+k208/voa9ePN6MfZt3/ack+g+6HI0TL+fHH5fx2f349alNCYy2v2XaCksPK 33jDbOqAe0JiomH2rYUV++nYHw9I7nrzbT+XuboKOPtSoiDOQIvuuVG1nXr2BcdaRO5QFX86 3j1dvxk8vYVerqPy7nocsfPL6Xq2ZOJNPJuNye0V1NPxxIw3qSEo3BVZvYE0e6T68/58ejhd f7ifKWAeyv0d7Sos3e0ikGkHIo5U3PPonbmr9h4ZLTQR5wy+igiIHRSxHYrdbbVpxW65gkfl 8/Hu7f1yfD6K0/ldTAOa4zVL9HojerGpc75E8UZbiL3oblg9p8aRZAdYkHO5IJHewkTguvQ6 TDmbR5xOOPPB2JSrpczD239Fg9n/GTV8St4QgmhfixVkHiQprCn0G4ItGoAi4iuU/FJCVmhH 7yYLH+sJBITUDIaCv0/M2L8AMI8R8XtqRk0Pwckcm0EJyJy8C28LLyjG5t1AQcSAxmP0LJF8 4nNvAnk9qZXZHuk89VbjCXLHxzgyAK9ETbDp1p88gPx95KtoObY80Ns2BnOCp1WJ/csP4hvO Qo54heArOD+DhlEalSwPJijWa15U4psbTRSi/94Yw3gymaC48+L3DJ3vN9MpCvtXNftDwrEM oEH4PKhCPp1NZhZgYYY91JNUidn250helaAlNXGAWZi1CMDMx1GS99yfLD3qCecQZukMhQBW kCn61IeYybsMVYFE4Ujzh1TcGGmN2hfxFcSkT0j+gPe/csC6e3w5XpVuhuQMNxCqkpYQAUUr 3oOb8WpFchOt8WPB1kwe3gMtPViwFUwJqc/Cqe/NKD2eLO2o8ZwNIq5a/nI2GL1WU5Vsis5R DLf9gchJVNP7/nQ9vT4dvyNJXd4r9ui2gwj1QXX/dHohvkzH7Am8JGi96Ud/gI/Ky4MQXl+O uHWZ7arcFxWthFYidVooK6IPSGwC/FHAPptSQ3djoHuqz6oXIacI0ftB/Pf4/iT+fj2/naSP FbFOJXOeNUVOB5X6ldqQbPp6vorD80QoyX3PZAYRFztxipioP0NXHHGDGZv5SQDgmwF3qyK1 RbSBXpA9FBN3NQMnsGI1abn4QHWqiLohXI5vICoQst26GM/HbGtu08LDugL4jXdslO4EuzIf ccU139zBu8KcriQsJlpiNST1dDLxBzaoQAqOYOrPuT83lRPqt8VGBGy6IHjGcLjNyhc8mpZN C288p7r2pQiEVGJ4D2qAzS2cKe9lsxfwJyP2uovUH+/8/fQMIi4s7IfTm/IMdD6llC7U6d8r cJMoKCHMWdwcSO3reqJkrN6MLhmI/VduwFFxKOtPuSHvKrxe4XO+XvmI44pyxq6BU3OKpNBD 6k/Tce3O7odz8v/rD6jY7fH5FW7geBdhzjQOBKeNGfWUz9J6NZ6bcouCmEykYkJERaobCVmQ 4spnbgpc8rcXmVNEdbiT6irjaVT8EHsnwYAkqjBAhUCrTLcjAMNyKXLTOAegFUq2LeliM32c brK1hTRLQjgSHIHjwGIzlrL4OVpfTg+PhPECkFZC2JwtcfFNcBOj8ue7ywMV8+zAEqAXNxQk 8nQFh6wmoBCOpYOsasUP148JgE6IEIRV72LDaJmTdpeGUTjgRQFUvbcYKgwpTzfVUCG9nO1C 8lFmoIi2NrfMhgEjg1ItfQw0Ui6iJoYzEUqsNr/GRbQcM1ymiO0yVRKHwVAJgdyVVgwsCb+l 3q81BoLV4CEqc3UM+9I5dkGkjftvp1c3MLjA4GSU0uLbDJahASCHNBnYDVjwg2f6XiZgHJ81 6yC7QTaULfGUgjVJxYfgOGIfNu1H4UGCtID4FIq79PcGsfIS8tiHPNIBrkIuK2dGlMeAAwZ7 vaBK0rhRKf3MilwcTN3MmHQVwmIdmMs3KKsEnHaAgSH3F7Xo4royZgLqMBIxRthrVL1oAs2A O61+3JU9ydlazFxpMnRnwXTNFkF40yDTG+k4LWTOMPHwBadMxOwnRR6i/EtdfFEhKcWV4RTb kxCYXjSQOG3+qh/JKIWGJFOZv7e3dtVyekigDrQflGsbnaEs3wrWuotZvQPXwME+KeNEuybK jUxhIKVMG24NIVznIgxvtum+O4mK3ecRf//rTdpe9tu/zWWufLFdYMOSIpEu98Y6BTDM1XIN 5mMegWm2dTqMg5y+GtmzPAc9hZ0fUzywI5UpiQURXRFgZfeB5KPEtOuQNTd5pjoFFQw0CvHa s1Cc+nlZKktLAunOVYvh4puUwQAuSA85RsGhmbB6yT5Bv6yJTOo4Rd8Gj1+ayEHu7rFMQ7+j o5TbpPuKXLYm2bLWFVr9Uf55xWQy/gAvWKI1fEi37C0z1uy4eeQglLuMAKWmBA0lFGd/MRja V3YjKIpdDodExObzMaUcA7I8jNMc3k3LKOZ2K0YcioHiHUXMmDWoPkYFZAWErIaD1UsKGPvP WpGEEU/chddbvas9QqFkQOLBTtAxn4FEnx9RoaJv2DW0rmCwQiXB4DdpLY2tvY5oOo5mz8cg FaV2RTTulKhDFnz9d5+dGYnYcjKvB+ZDig36tLKjWkjcYLcFby+SIrbUAu29E7HsrqtglR6a 7rpJJOSMJPszNv3umGmQKn5gMQoAadHZHhTHCyRDl9faZ/WA50qKMg5dmGg3BmQCLMAzcHlk e2J2NIH//TtdlA5YJi2L2Z6emA+62x2FptuSmP/ZP4mIMG1bWVTmA7He7WgxUWC42WXiKoYE dwlwQzViLFhs8cg0ae45xmZvOlp38LwqiGaUG13OYupm1WfP1nVasiGrFca1cLkdXS9391I1 5MbF5+Q1TslZlREYsIXYYe46uJVxyEaLixlZrBjwe+kIiFtu+3rrDqxtFqR0fGuQTpVFKcRX xw6oo5KyPduWLXl4oAMhSDoV9WYYH21ou9ENp87kKu4kO/Gn67eTF4rC/NnwHWuyPYOcHeCf shWH28TQ4Rj1dHwCcpgIabWWUqb9/kC5jbE9WNptFyuPdtoA/MCVBFBdJAP3EcPpXMHEuMy8 lkmOcw6L3w0VUainSBNmJQowllMp/s7+t7JnWW4bV3Z/v8Ll1blVeUmxE3uRBUSCEiOSoPmw bG9Yiq3EqokfJdnnzNyvv90AQeLRkHMWM466myAAAo3uRj8sphqJtmhMgdu8sohMidC+7ojs sByMa7jggbXS5N1Fy+I4UCYgF3VDrm7HWqScg7aY+kueH2akVMSiBe9Woor7xLZm5y4Z2nEb 0Fxr1EhrMlkR4FI3VQGop9OO5HuA+dwlVnCbBODdSgrLJcqcdiSy5lFbpQ0ljAPJidvgCdrE ukRUsiMOynmXg9JvcnpxEkyq+30WG2/AX27oSoLR3XKebe0whfkEHDlN3yXCpP9u9ptcDt8D E2URBIeBDzesSbFEgvXiq1Af50k9dTopIgWjVasmONwizYbG9KxNvSmQIOwk3Uj/RHfFmqby GqI+ukYZH93EwBeLln6nZGyNFeun2pEZOpXsldoZzPV7UB3CO6GUNGaGFiZapRMnSkzBVL0N 4HzkdKDJCfFWdlKMgUTH7usAPsFUqlF1XfZjoMBwxs3tD1OjlYven0lNJGYO5s9KFUbbtMc3 sOAjF61orANbAjCnrwzcl9wbQzIoLaACbE+/YlWhZsJpKGwqv0jyprukfcwUjlLYZKtRY1rB 2kYktc3FFMxefJKp2SnJHKFN822Vq9fZm/CJMnbt7B11Xq9v7zfW0Z3UkmGRp0tPrcjj9yB0 fowvY3nAeOdLWotz0K6tcXwXWWpbKG+ALMA02jjx+InuB/1udY0t6o8Jaz7yK/x/0dC9SyQr seThGp6k2cvlQG08rRPzYpFPlKK+nXz+SuFTgSkoahj28Xb/dHZ2ev5+ckwRtk1yZm5+96UK QjT7+vLzbGixaDzmKUEh7i+R1cqUtg7OoNIU95vXu6ejn9TMYj4Pq98SgLZLc+FLIE4bVtBL G1E5KNB3srjiBh9a8qowm9WXW1qaykt71BLwxrmpaOSpQUmiXGVJ5CAHmdIf/hknWWuj/pQY awvzMiPXVfnkyXOQNyCKLU0qQ8N0+AH+vpw6vy23MwVxB24iT7492OT1itHCqCLvaG5XCdEg RfBJZF198YKYzLegifADg/IWF85A47RmMziw2rg0aiWY76Czn8pYPDibhHEBhYee+xOnwnqh G5FVt0VVRu7vbg4SszGFPTR8ZkS8XND8JUoTqyn8LaUdsjiNxGKS9xWccFJ+4WPyc7uNFWeY 7Q7vWehSYpKqLbH8bBgf2h8SqSVe+xEJpY1dI76L27zsgnVtFeEb/RMxCwmdzBM5B9R5GRBG zULM8ENzW4p1I1rz/u7ELGhuYb6GMWaOTwtzZibrdjDTIMZy/HRwlEOHTfIl+Movk3DDZNkp h+RzsOGTAw3T/p8O0Zc/ISJ9jE2S889fgh05P6WdIZwG3pyG85Pz0DSYBdsRAxIRLrXuLPDA ZBpcHoCa2ChZZYRu3/usGhEajMZ/ptsLDOOUBn+hwV9p8HmorxPKxG8RBLo18bbLUqRnHcXn BmRrN5WzCO2uZhlPDY541phXWSMcdJK2EgSmEqCCk21dV2mWUa3NGc/sCkgDpuKBeruaIoUu 0vWKBoqiTRuqcTnmlFGKrCZp2mqZ2jUSEYUiLtmrOAsYr3FpGxZ8BegKzNiTpTeysvZQ5ccU xyybl4qs3Ny+7tB9byxCNEiW1wbbx19dxS9ajhVGXNsNCBR1CtIZKI9AiIVKAm6eWG6Xx97p pmV5pVH3BNbLu3gBaj1XVcMdlNSE08hFaSMGFsyp5f1/U6WmxdK3cmiILTMPDfXSKG0u1UQl a2ipIgERDVX5WrQVqX1Lc1MkVf0cvueQs+4QWr7u2/HH/Y/t48fX/Wb38HS3eX+/+f282R0T vathHb4xgEbk4jpgE9Y0rCwZ9IKOZR2oMsHiMqXvsAaia5ZTRVLGHrMEPTfSmPwkUlYVqwID tQKm6rlrvhyAXZ3OCwa7MpDYhewYv7RuteBnh5IgiE5t696TmTRxrERGsupWr76OS9aMuIWh fTvG4NO7p/88vvtn/bB+9/tpffe8fXy3X//cQDvbu3fbx5fNL9zJ7348/zxWm3u52T1ufh/d r3d3G+nOPG7y/xnr0B5tH7cYxrb9v3Uf8jrMU4q+N+jTVIjCYDgSIc1eMP1GhTyfIgGOaxOM txf0yzU63Pch7ttlXYMEjkwEDxNlkdn98/zydHT7tNscPe2O1NYYB6mI0YLHSrNIkQme+nDO YhLok9bLKC0XVmJbG+E/srDLiI1An7SyKi0NMJJwkNu9jgd7wkKdX5alT700b5x0C2jj9Unh rGRzot0ebrk/9aiWvm6xHxz0Ylngzmt+nkymZ3mbeYiizWig33X5h/j6bbOAA4zoOHYl3HGV RVKv1vL1x+/t7fu/Nv8c3cqF+2u3fr7/xzRF6g9K15ZSyNhfPzyKCFi8IDrMoyo+1DowqUs+ PT2dnOtus9eXe4x1uV2/bO6O+KPsO0b7/Gf7cn/E9vun261ExeuXtbf5oigHRd/5UhLm9ixa gOjBpp9KkV1jOGS4j4zP03oyPSOGV/OLlCqBOYx+wYB/XeqxzWTcP56re7/nM39So2Tmwxp/ qUfE+uSR/2xWrTyYSGbEwEroTnhcV01NPAMC1KoiHbD1JljoyfaXPJaYa9rcHwamd9Tzt1jv 70PTlzN//hYU8Iqa6UtFqeO0NvsX/w1V9HlKfCME+y+5IjnvLGNLPqUmXGHoeir6Pc3kU2wm +dPre+FUS9ff8M2Vnccn3m7J41OirTyFpSx9Ien7cs1J8nhChkkbeNMQMoKnp18o8OepT10v 2IQCUk0A+HRCHQGAoDRbjc0/U880IIPMBGXl1/x5Xk3O/dWwKlUnFO/dPt9bTiQDm/E3McC6 hpAlinaWUluQVVGgaoleZWLlFizyGCPDSjvpIabNUHNzjLgGjlpACCeLoPSnDDH4RP71RYMF uyFEppplNSNWi+bz/gMq+7TP0qsStM9Da+PEa6vhzIetRJISPKCHjxOoVsXTwzOGF+pMMe70 JBlrKE1Pc/YbQYzl7IS0b+tH/HEAbOGzuJtaCikqAm/9ePf0cFS8PvzY7HQKG0vWH9ZonXZR SUmVcTWbO/VGTQzJtRWGZnQSF9Em9JHCa/J7iqWpOfqTltdEsyglgnqaHrDuO4RaDv8j4ioQ lOnSoS4QHhn2Dctju0rK7+2P3RqUot3T68v2kTgws3RGshwJBzbiHQyI6E8pv9SvT0Pi1GY8 +LgioVGDsGi04M6bTXhg+QMdxXUQrk9OkIyxOsT5IZJDYzHEHbKbfyyCInXghFv4Ih2WLluk SdF9PT+9OowltT6kEHapIhuBffFFtQHLOHU2DeiYLGtsUPW+6qGu1ad0z2RO9jBGAg6gQ8xl IAjd8BuEKnwzJcTEEau0J+o1Co/f+dMJ7dZpEOcM1niWdRGv36Q9UEvUoBqqalNNKE9LEEIP t6HIDkylbuc6UMzMoGQJv6LTC5tzVjUlj/xtgbgoqkzvXPOpPBMY+zi/ykLfYqQIfnhWX+c5 R1OwNB5jjMf4NgNZtrOsp6nbWU82OgGefjqHr1j1lmcedgctl1F9Jt2KkQybU6QD68ckUj+l 5ryXpf6wtJ+KFr+939z+tX38NR4DygfCtKPbVcF9fP3t+NjB8qsGHbLHznvPexSq4M7Jp/Mv lg1WFDGrrt3u0PZe1TKcM9EyS+uGJtaeTH8wJ7rLs7TAPkjXtURPahY8SLFOO6u6ihVz8xzB yE1rJmcp6A0YqmrMjo79A5WiiMrrLqlE7kSbmyQZLwLYAiMRm9S8V49EFdtHI4wo5+iTPuOk 0VjdhZjRo0NsYpQOLsh6YWNgKfqTRHl5FS2Uk0fFLb00wlCUxpLdo8kXm8LXZqMubdrOfsrW reGneRtlw2GP8dm1Y6YxMCHNSJKwasXcahoWBXxFkhNF9i175GhgI9i4eYXj3LcmRMZ9tGs+ gDUWi5wc/A3KBiAAZtbuA31gcIm1oTGn4CckNSgDNJxsBdUEglyCKfqrmy62g+IUpLs6o/0O erQMzSrJHMGKIGX2N+nBWPj0QLOAbhawRQ7RYBXqAy+eRd+J9waMtuOUdPMbM+Jd7z15J8Is 1z1WYykm2K2XHPpbMePCEUO9U6ECpQxQnBuydIEZzgHSSRmusVYMgqFLGatgZ4sFt0Nvh2jy mjdtKYlFWRN40IQreYvmkSCgEIVuG3PZlza24k6sAwJRBQodwPU8U7NktHNhcrFMzOxfxAYq MtupfZj+RuRpZObljbKbrmFmBYrqAmV84415mcJ+tHZ6YqZdEWmMdUDh1KqsbwffU7/3Mq6F 35s5bzDIRSQxI0LI8ZnOZJWJgBkenflM6NnfJieWIPSIhomxgnBqjIE0U77UwAGtT4aX4MWc 9A7wDk37ElGLIhL6vNs+vvylkv48bPa/fP8BeSAvZfyPc6ohGH3X6OscUdRCOuLPMzh/s+HS 6muQ4qJF9+khgUQOmxPdfrwWTsZeYNl43ZWYZ4yOD4mvCwar6YD3okURDoYDqXImUJrkVQUP UCYh1QL8BzLHTNRWavPgZA9GqO3vzfuX7UMvHu0l6a2C7/xPo97V2x88GCz1uI1sM5uB1fwv ULLYoKzLLG3eIopXrEroQ34ew86PqrRsaGcRec+Xt2jWxMAUY3tUMMcygOHb5NP0xFz6oOfW GIRq+hFXnMWyLUAZ25tjEpQavUkbZnIL1flaRbWgE3POmsg49l2M7EgnisxgAZLzrhjsYtXX UsiwjNodQw/3P0Uiqoj3nqwYRFfS0cB/vDbkSpKGwe2t3vLx5sfrr194954+7l92r5jf1qyC yFDVArneTO5iAId7f/Wlvn36ezKOwqRTyVCCe8J08ZY8V07eElaHOS34m3KWmtXMCj2SAIxX ovRqhZxhUUozQlpC0Vvdb4hl6bzIHdPz6O+E3lKSkPw6fzTf9mQod3B3MfZ9M506hsYMjoxc EVQ7rBVgXgKoNhDrHss2Qm+50Y1g5OrYNAgQtAaMSFjJtXADimwMCBog0hehaD2H+IZXVKDs 2OfOUm8UvBIxa5hX+lUhV3TibIUUM4xjoxiRXJP91wFJLoM96betMcEeKz+bFk8u82lVUlgh eRErThdsxHZN0jB5T+pHL7lUFS1ED/hyDurKnJqBQY7sadOqaZm3SANgVUVNegz5nV+k8wUd wh9F8o1LhrvQM+cqsJw2M4zb2xvu++oFJncy3qbulpH+SDw9798dYY7+12fFRRfrx19WlFgJ qzdCvydBhyBaeIwmboEt2kgpL7bNCEZFHYX3vhqRcc6IpPGRloiDRZdyk1C+g+hYmHjopTFT +LJugeXjGlZTq3F1AYcbHH2xMCvWITNUTZvCzeHJVU6qcHLdveJxRXA1tUO8gAsJltEiJOul mrTXJX6IJeelZRXquUvFeS4vOZWxCf1DRub9r/3z9hF9RmBAD68vm7838I/Ny+2HDx/+17BD YaCqbG4u5XFX6i8rcWmGoxoCNCIqtlJNFDCrKZmmry96zxqPCYIa1zb8yrR/9csfRmtXL+/3 KE2+WilMV2diJR1R3TetaitiS0Flx5yjRvpx8tLnAD0iyPKUwgc94KGncXrlPV+v8lAbU3YJ NhD6gjrJMMdBUirTf/Hph30gY7CAz0h2ampmwK2cQGopOsJUdW2BN9+w0JVRiThg1AEV4F1/ KQnjbv2yPkLR4hZtqZ5GgHZZb633QJdRBvQhiVQO2bTVUp6lRSePYdCXMCl2ajuGHuyx3bkI VBWQvUB6HLKSVlFLyj5q10Stu8MA5IybXgZIh7lTPdkBEeYjlKU2wvxfbScViYHDTycm3vnw COIXZiCZTpFrjc/Zjxe9XlBJjcD/aio8HkRAvC2hRVa0SBbRdUPW6y5EqTpqHENS/EnaQik9 h7FzELsXNI3WpBNnIghkt0qbBRpkXMWgR+cyFQkQoE3dIcGIW/kRkFJqV24jUf+gasVYFrLX MtOn00X11shmnNLK4tZEVcWBkd46VeBPgx9Fpfb15sdoqo9wxKBUcyHL4wjtWuSwvPdpA5T7 op6QMEE5I0ZxAZex33RwIbyxBkKf/+0vPzQM+xnDhO2ICWTrxCi5njTYuvN5ZoncMI8gBCX9 c5QUpx/VDTvSevDBxSpjjT8zqkP9yqy9FVcXrKwXwl+KGqEtAM6yUM3O4MCANaUmxxElLByX Tv605tUTsAI4O8ObPvUk6RIwEMMu02TES4OTNMuW8i7XyCoy6tzQ+IyrbUSm+KAZgGGHK2D9 BB9XT6tN6uaMG3dWNwMGuchZZal55iYdCAJBUOotLJMWfZwsOl6oXxcNq9B6754t5JvfJDZ4 hbR7hilrhqlY31D3ZK61tA+8tk2GKtqqp/HEkvXuwTqmh8dkbrtGxkDLM4uMSG6LVVrEMF7X Smaddm7OlF7ICVuaYMWmRZS1Mf92/LC+vf94hz18D//cPX2oj8e3D3dAA7mk/Pj6eNt7BH64 N6KvyjQGSs3m0zjgaiagSdB36RRW9oSZlvlms39B4ROVpujp35vd+tfGnNFlW5C3oFpKQ6O0 qOhEPWVOk5EDEInccuHGyacK3uB2//MHnLxChxboMhKXxjGrTAY18B9xqY8B02hgUeMvbfHC 780qtDxZrEySoH24atEE2DFybSkq2HCs4kw5Unz6G4sUGTp1BfxKnqdKm5N+lkRTsJNcDeTg IvCCqdQdzv8DHOHnRp44AgA= --AqsLC8rIMeq19msA Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ linux-arm-kernel mailing list linux-arm-kernel@lists.infradead.org http://lists.infradead.org/mailman/listinfo/linux-arm-kernel --AqsLC8rIMeq19msA-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============2659524550700798041==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH] irqchip/stm32-exti: map direct event to irq parent Date: Wed, 08 Jul 2020 12:57:24 +0800 Message-ID: <202007081232.bA2RH80f%lkp@intel.com> In-Reply-To: <20200706081106.25125-1-alexandre.torgue@st.com> List-Id: --===============2659524550700798041== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Alexandre, I love your patch! Perhaps something to improve: [auto build test WARNING on stm32/stm32-next] [also build test WARNING on soc/for-next v5.8-rc4 next-20200707] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Alexandre-Torgue/irqchip-s= tm32-exti-map-direct-event-to-irq-parent/20200706-161327 base: https://git.kernel.org/pub/scm/linux/kernel/git/atorgue/stm32.git s= tm32-next config: arm-randconfig-s031-20200707 (attached as .config) compiler: arm-linux-gnueabi-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 # apt-get install sparse # sparse version: v0.6.2-31-gabbfd661-dirty # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = C=3D1 CF=3D'-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=3Darm = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): In file included from include/linux/build_bug.h:5, from include/linux/bits.h:23, from include/linux/bitops.h:5, from drivers/irqchip/irq-stm32-exti.c:8: drivers/irqchip/irq-stm32-exti.c: In function 'stm32_exti_h_domain_alloc= ': drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned= expression >=3D 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >=3D 0) { | ^~ include/linux/compiler.h:58:52: note: in definition of macro '__trace_if= _var' 58 | #define __trace_if_var(cond) (__builtin_constant_p(cond) ? (cond= ) : __trace_if_value(cond)) | ^~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >=3D 0) { | ^~ drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned= expression >=3D 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >=3D 0) { | ^~ include/linux/compiler.h:58:61: note: in definition of macro '__trace_if= _var' 58 | #define __trace_if_var(cond) (__builtin_constant_p(cond) ? (cond= ) : __trace_if_value(cond)) | ^~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >=3D 0) { | ^~ drivers/irqchip/irq-stm32-exti.c:683:23: warning: comparison of unsigned= expression >=3D 0 is always true [-Wtype-limits] 683 | if (desc->irq_parent >=3D 0) { | ^~ include/linux/compiler.h:69:3: note: in definition of macro '__trace_if_= value' 69 | (cond) ? \ | ^~~~ include/linux/compiler.h:56:28: note: in expansion of macro '__trace_if_= var' 56 | #define if(cond, ...) if ( __trace_if_var( !!(cond , ## __VA_ARG= S__) ) ) | ^~~~~~~~~~~~~~ >> drivers/irqchip/irq-stm32-exti.c:683:2: note: in expansion of macro 'if' 683 | if (desc->irq_parent >=3D 0) { | ^~ vim +/if +683 drivers/irqchip/irq-stm32-exti.c 659 = 660 static int stm32_exti_h_domain_alloc(struct irq_domain *dm, 661 unsigned int virq, 662 unsigned int nr_irqs, void *data) 663 { 664 struct stm32_exti_host_data *host_data =3D dm->host_data; 665 struct stm32_exti_chip_data *chip_data; 666 const struct stm32_desc_irq *desc; 667 struct irq_fwspec *fwspec =3D data; 668 struct irq_fwspec p_fwspec; 669 irq_hw_number_t hwirq; 670 int bank; 671 = 672 hwirq =3D fwspec->param[0]; 673 bank =3D hwirq / IRQS_PER_BANK; 674 chip_data =3D &host_data->chips_data[bank]; 675 = 676 = 677 desc =3D stm32_exti_get_desc(host_data->drv_data, hwirq); 678 if (!desc) 679 return -EINVAL; 680 = 681 irq_domain_set_hwirq_and_chip(dm, virq, hwirq, desc->chip, 682 chip_data); > 683 if (desc->irq_parent >=3D 0) { 684 p_fwspec.fwnode =3D dm->parent->fwnode; 685 p_fwspec.param_count =3D 3; 686 p_fwspec.param[0] =3D GIC_SPI; 687 p_fwspec.param[1] =3D desc->irq_parent; 688 p_fwspec.param[2] =3D IRQ_TYPE_LEVEL_HIGH; 689 = 690 return irq_domain_alloc_irqs_parent(dm, virq, 1, &p_fwspec); 691 } 692 = 693 return 0; 694 } 695 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============2659524550700798041== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICEU3BV8AAy5jb25maWcAjBzZcuM28j1fwUpedh8mo8OW5dryA0iCEiKS4ACgJPsFpXg0s671 tbKdzfz9NgAeAAgqSaUqUXcTR6NvNPzLT79E6OP95enw/nB/eHz8EX0/Ph9Ph/fj1+jbw+PxX1FK o5KKCKdE/ArE+cPzx5+fD6en6PLX5a+TT6f7abQ5np6Pj1Hy8vzt4fsHfPzw8vzTLz8ltMzISiaJ 3GLGCS2lwHtx8zN8/OlRDfPp+/PH8fD7w6fv9/fRP1ZJ8s/o+tf5r5OfrU8Jl4C4+dGCVv1wN9eT +WTSIvK0g8/mFxP9TzdOjspVh55Yw68Rl4gXckUF7SexEKTMSYl7FGFf5I6yTQ+Ja5KnghRYChTn WHLKBGCBAb9EK83Mx+jt+P7x2rMkZnSDSwkc4UVljV0SIXG5lYjBfkhBxM18BqO0q6JFRWACgbmI Ht6i55d3NXDHAJqgvN3jzz+HwBLV9jb1yiVHubDo12iL5QazEudydUes5dmY/K5AYcz+buwLOoa4 6BHuxN3WrVntnfv4/d05LKzgPPoiwNUUZ6jOhT4bi0steE25KFGBb37+x/PL8/GfHQHfIWcH/JZv SZUEF1BRTvay+FLjGgeWsEMiWUuNtUdMGOVcFrig7FYiIVCyDnxcc5yT2P4O1aDKAUp9JojBVJoC FgyCk7eSDHIfvX38/vbj7f341EvyCpeYkUSrRcVobGmKjeJruhvHyBxvcR7G4yzDiSBqaVkmC8Q3 thSxFGg4MFsyzHGZhsdI1rYYK0hKC0TKEEyuCWaKC7fDsQpOFOUoYjDsGpUpKGwzsvOpIs8oS3Aq xZphlJJy1WN5hRjHzRfdydl7SnFcrzLuytPx+Wv08s07qxBHCpBd0iyPDfejrdm2lwAPnYBN2cCR lYL3SC05ymoKkmyUhUNpgrg4+7VDpsVMPDwdT28hSVvfyQq+pylJbJ6UVGEI7COoWhodxKzJaq2k Rm+WhRk5WI2lswzjohIwQRmeuSXY0rwuBWK3AZVraHoetR8lFL4ZgJVhb/iUVPVncXj7T/QOS4wO sNy398P7W3S4v3/5eH5/eP7ec04fCHwgUaLHNZLWLXRLmPDQ6qwCy1WSo0XDGah1JjxVFiDBYJQA L+wpfJzczoM8E6DeXCDBQ7zixGIIKFxrglPCld9N9YTNwf0N9mg2sqSO+FDWBPBbAm54MA4Qfki8 B6m0joo7FHogD6T2qD9tFCKAGoDqFIfggqEED9cELMxzFS4UtHQxJQZ7w/EqiXNi66bCZaiktY44 BkAw0Ci7mS5sTEypP4IGwbnk6PbmEqKv7lz11DSJlZgFjtbbjFTmUBaxfaDuQXUCuTH/Y5nVTXdg NLHBaxgT1LwH5VQFQBk4IJKJm9mkP2lSig1ERRn2aKZz35TxZA381AatVUx+/+/j14/H4yn6djy8 f5yObxrcbCOA7WLOFaN1xW21Ad+erIKKEueb5oMAOw3CLK7fb4YIk0FMkoEhBlewI6lYWycqRsgN tCIpHwBZaoeFDTADJbiz3UwDT/GWJHgABhlp7Ic3IWZZYAxwg44/gGAMvCeYmhBn1jjZVBQOWFl+ QZk1uzlLFSDrkb3YDViUYjACCRI4DYzMtND3xhDOB7ano0Zm8U7/RgWMxmkNzt+KKFk6iHoBFANo FhQBQI6Gw4AbCYX1V+EwWKNCITCotfJIjaL18WciKfikgtxhFcno86GsQGUSCmJ9ag7/YzEfQg1h RRo6Fq1JOl1YPK2s4/fNrker4xsIfZlzjCssVAApm8AmsEpz0oPAJzORkuUOdMRuIgfbSSjT4f+W ZWF5LiOu7S7yDBjLnLA+RhD4ZXVweVkNGbS1LPUTFNEasKL2ujlZlSjPLAHUS85Se0IdimUhoeZr sEBO6kDCokOorGGvYVuF0i2BLTVMDaklzBIjxohtIzaK9rbgQ4h0jqaDar4pNVTJgsPQKjtz4kpI dBxhc6mLZfuVwRBlMjgsCNK/BAaFr3Ca2kZTC7TSEOnHzRoIq5DbAlZIneC2SqYTRyO1L2nKLdXx 9O3l9HR4vj9G+I/jM4Q3CLxMogIciFr7aMadthtcm87B9ME4+G/OaMWUhZnQBLJeeN1aBFpUSEAK sHGUNEdxUIx4XschGc1pbAk8fA2Hxla4DQ8t3LrOMsjGKgRYvVcEHsDWVpqR3IlpdUii/QW3gxG3 qtMLTWFLUKEFiCun4+SEIIqS11VFGeQ/qAJGgbFCTWxvS4tICl9+IKZR7rEHQ3pDqBoKMmMrxYUA MNmYeKqZyo57kg24siHC0EOMn+VoxYf4TilUrLCyp8vAFmLE8lv4LY3J8AKl9Q5DuhVKBlFOYgZO tQkbO4I7yKukE03o+TvO1brawF2OV7pSUq2BxSqrGU7nWN9qZQp2uvrAb2ZNAKdDzEj8eD32KlQU tbeQAhguWQkemsBqCjjh5Tk82t9ML1wC5aIqOHnlNB0jq7A45mg6nYQNqiaoruf7/Tg+A6cdM5Ku wtmppgHRmc/OjEH21cW5OVK6PTN6tQ8HJxrJRkph5pDV1s/snc+T2dmFUWD+dGA3i4/H94fXx2P0 +nh4V4YMUI/H+6Za3abVYM5Ox+jb4enh8YdDMDg8uV34QmHAV2HwwmA6M3JuPc73riybEl2iLIZf fkF55RSrDZCJClu5UIE6oL9+xCuMneDAEGuwXF2GfLdNsBjIMRLX0/FzipPiDBIzsMbj+KTkoAH7 wJqMcJIVSWhuW3ijOPvbklqM45c6E5FFlgy1UNPOx6Yw6IvgBJdtQoj//PH88hbxl8Ryyarc0nw9 m06sxYCBb+AX05njFzvM5exyEnKEFsEiOOTlRXiqy4tZGL6cWHAD0yvnNZy3XWxVZgy0tuC19p7G jh6e3j6ev4M6PT29PEcvr0qu31pFi19g9R6sevkfJMYQXhy+H58gunAS5/Bo3nmpmh54p8240KwJ J+PYYn/GKkEUgFdMxQzjNBt8C2nlSEXQTIFTAu5uMyZTkL3qSMDVQA1dBEft8cvRMUkeY8hsfbPU gGUxnWwH7q1qD7I4nP44PkL0t0fTxfLz9XTyGbCziDyB7VLndGhP0V5RzOiu1LzwLE8GSi2GG0QM nHAuf1OmhI3ZGTWvTANfF9Uc4MHY9e8u31ZNReAzZAvhsrcVDZOovA3CbTfQ2NwCpUjOryZDC9ui LsfPuKVZhkyeQ3G9H5tgH6oXaQLly70tl1UyDEwU8Grc6lITh5paPonUz1Zns74eptEa1wAj3no+ Uy5rhqQ6iMIcC1Nk40HuaKr5bGOS21GSucxnEtV7yXFSM4iMVUjdlIHC1f+R9Tt805P3lVx7459R 8TmFfxmKMh1OeEGEovHFTC90wHQFvQhuTFlrhQ25ZoVDxRycpGvdUXExgMEir2xYv8Aqry1vqber LCEDQIkTyN+6zN3e++zz/PNFxF+P9w/fHu7tsw9OIMVtRSAXcBelkg1NInnKEt8bKizDKNc3Ek2e OYj5mgMECXMD+pZvM+P7BvycXczHnKw+IkD7nwmynAYVQ/OsgoxMJZ5JHLes0mvLj98P9z+iqg0B 08P7Abzj4fS1XbGryHr2y+kV3hZjqmyEvYIsjTI0sAQl3RAky+U+tD/zqeI2RJhKn9q7Ilclxk7X HuZSYgbeEsnlZLqcXgdGGeqHKxz7EvHB8ul+OTuTGoAU0X2Cg6UekzsQXUU2fOUs4g8siw7vj4e3 xefX08PTgZDPSP28CkqvH93miC/GptLYq4EyV4wUKFzT1fgvCT0TFbP0XFal1GE8tlDoLcE7zy+1 YEg6e4wFVM5jOp07wf0AfRVig0N1bbe6DL4vqsFRdzRVrPBj4u6QXS3GNlfFaDmO800fA2/TtA0M cs/F2dwT8ont7FzmzsBZcBR2ZWYEmmTVKnzMJtKuMDoThHJBRqVfFPOZxwUNK6rp5VBUIZ7fnwmX BSpX4YKwQatweWwldUmqtVPxNeDlpZ101Hv4aRxUHMKYGmYN2ezNzJt9i/cVePdQ5dHghTugBu6K 5dVlALgcAO88B3q3n10vriazAQ/vbstQiVgfJGVO2U/DIE71IKp5Cwmi7x9MonR6uT++vb2cPKem QtfqNysfbQCxC7HLFub3xgNcub/Fui5imaBKlctc1Hz2x2II2QxA3ogoZkJifyEN1KOtNNinbaAe bQICjQe0DTRMS+z+Cw2n1e1gCJHHYZg3qGkbJKk3JGjXENJUFb0jDTubwhxCUJgbHHbi98L0daiG y15Od1VTbfZOMYb/QkJPUOnCDUzGeGmLtcIQw72m9yJU3Qei1CHypgTlTEkiwliwcImwb2dVqxeG lTBUaheqv7VrOxt1kSPXOK+cK7ltyq22Q1pDjGgOPgjUlzzOVjU0w6p3hZaQQISckKpsmwK9Ic9n e8taODBvYAWVVRHqiajy+XTShlCXy+V8cW1/76CvZlfX01AG4FJdzq+vrIW5yMX1xfR6uEKBakZ5 OFoxFK0hHxHNfNqyVvVQyIUroy72ZmHj0gKpywTVgAEH4MqIvl7BaHtr2kRcn9XcEISE2vgLlJNV CS4+hZ33OLIrCltblOFs2XNxdTFzZ28Q89liOpkHURfT6fVsEkbNJ9dXXppX9Kc5uVpej7CzO8uL +WxkRYsL8ERB1NWVW+pzUPPJyIDL6XI+u5TLS8iVRihm07Fxl7PLhStXNvISJHd6fqd62ml4bIUK 816PPLNzDvtax1QgP1Rj3+vry+ndzkqtbcN2J/YQ9hf2RewwudXGgLshLQ9GsE3TbSG53cTVQU0c pcoaAaTYOaX6bcGrnAg5D1/D92jViHGWZLYKrLRFTu0bNJXR0izjWNxM/mya7ic2MyueEE9BSyZX FaE308msuxFb36lLRJzeWE1jABu7BQLU7AzqchQ1n4SyXkCYUNCbO0yrW9vsLepLR5ISu4aKUUzs ASn8bm68xwJSFTqsaY7bnu6CpnZTtDFuOFc1l6bpO0SRgXdXVhOXvsVUn+u24hC6b/6uslJuwULa zQvg4ZxrXQWo/CCC79pG58o2uSaERqUwVTKUy3W9whA7uYoLe6nV5Xxu90boBml1eaqvgymEAOxm 2vUnajNeqC4Dwdxme9VApnpNd0SsdRddFeq+5ThRJ2KLM0PuXVsLCbS9+s0RfREkcL/RrosrdbE2 LtDK68loe8z01GAWBKuTkMjc6a4sRgvzqGby52SIiTm3EdqgVOrmBoZPhXcAai0K2kipb7I9tEyK VD2MkZmeCGbMqWqwHDHmY1/D0p2LpAau2uKs5xl7HL6WSRjia5nWQcuqOvnknWoISlPmmHH7aLpb X3P5VNiXTx0uOx3/+3F8vv8Rvd0fHk1vtRMNZ8xtA7L7kANfdwOTr49e+kZSPxRWELmiW6k24ja0 OWhQhFAc6dAITNuEA06lW0KUnh7+MC1DzpkDfrSxvjXuf0nU3smFCC0ynfi3NJ5P724eG5wzfnvZ El5Icw7h3dqnZI7ChgwkQrMne3w5qP7x6PXl4fk9Oj59PB7sDgL0Hj0eD28gYc/HHhs9fQDo92Nz w3/82p/6NrMsEPz4w4powOY5d4HNSyVl9zUuuNfRFQYvWS0j1Ycq5n535NlEDIvQ/UqhhMO5MKoK E3CHjjzc+ATQJN84v9vWHeNbLOew+yIruoPUDWcZSYjyA4Oer+H3jv3VhYTCd5Jm96rHk5NB1hG8 /26uljvO2N925zLKeSNXD6en/x1Oti5as/KkIKr9S9CE5u6CDEozont+5CgIT6r+21BTKWHFDjGs HGXh+lFwPlz5ogzcXqp3FiqniZoxAlEL3Uu2E44ErChdge1ppxjRfW1HMqss3UfFRWI//nThqnSQ 0C1mt61RE8fvp0P0rWXlV81Ku41ghKBTHf8QPHvIbivhFDydR56H0/2/H95BvSEM+PT1+AqDjigY Nb2GIX7oLbZ4R/dNw1tQKX8DFwj+Icah89Uj9jpSlzpuUr3uOkjyC7AQoqh3oRDlQPyws9v8zKNN v+/OQBkWQQSkGkG40xPdB5+6B3FN6cZDqloA/BZkVVP7OrJ7iAH7117OvKUbEmikao6GqE/Ula+6 EHpDrClIdts25g8JNhhXfj9/h1RX1CYqD25Lr6oJ5uRuTQR2399oqvkshvwK0ikpvEEYXnGJytQ0 djYHBzbU56FqR/ZA652MYXLz6sHD6d5fNXYIrutpZj4VYYW21YtdKNwnVSLNM8b2UXJgiCYGBwuR CzvJHYObzFqtSlk07NYAm2fbLlq/0HMScQc9pjBK2iA61RK5cZqCNXrk0ZxHdfbBnKYAV96mZjgh mf0azGREXGukeijABmxWm9UYddVbOA8qeg47jageAd6DwPkqE/hqOTzd9vWdoFVKd6X5IEe3tPal TNfTGw0Quf1mKFc9vjHwF3yD/ZiIqlfpZNW42fkAYZofrYFMUmH0R/Hb2wzVTych82ziJ7YbdDoM KYbBRK/sgqnKdWi0Myj/8ybjDX0eQnWf6/ZmyG1Mc3Qn1qo/xm6650M/Bc7y0++Ht+PX6D8mZ309 vXx78BMaRdZs4FypQpM1fqp5ktE3yJ+ZyZEN9dccqrxemcDOWkIHDoa4f9PjtlOp9nj1VMb2Qvq5 CFdvHm6mnsbZK2lOwhQiVIob7s8yVHV5jqKxgmEP3ozAWdL9qQa3h2FAScJlvgatVMK//fRp1BuI nSwIhKql9XBOkkIX0IOf1iWYI1DC2yKmeZgERLho6TbqaU7ozqSxbfp9bA7+3nbJcfOesvu5gRiW EzCAX2pse832lV3MV0Gg+cMHHty0cRIRfK3XoKSYOuXAlkBVoUIPpfRzzKakoV0e87/exeGSqxlZ XUr4b/nt3QMnaYVC6qjQ5k+USFzq+NSxjEG0zODkldltw+bqcHp/0GmqKo/bL4cQxET6E5Ru1cM+ p+CMEsrKniZcASD7v6CgPPurMQow+X9FIxAjYZpW5FDS4y0vy1PKHUTPep6qFGMzCKx7RYJ4cA/p YHxuYk5zpPKj/XIRWkANQ+j0q5vKseppcXZXfEWCg+aghfsQhtdleLcb1SL6F1zG2Xkeqz9ysliG prW0w5q6zYw9+bOlt4As375CaGAq/iLUBetM3vyxEtq/tLYbk79IQs073xSiEfcP+1jIzW1sx5wt OM6+2Kt2J+n8Iy+nzuEa7eOQOmj/YFs2974SCYjhEgmZcsDpQxArVaqbo6pS1loVNVUOoC22VTDv nlo3bw+O9x/vh98fj/qPOUX69d67xZGYlFkhVBDpCH4HlVlakSRw0oBLnOfT6pdOFLrIUH0+eHXf DM0T5vRd9G/LDF7dYgRWpMAhI9hjYaTVtlJ/RKnSf15JGDPnDwROL7QrtYkm2emOeYyHpjf++PRy +mEVCYc1/7NXNu1tTYHKGjmK31/VGFyocGM+dkcDSUl1Kcd9Edi8TsCVftLqiqG516uEjiAhp+E3 Fz1DILL2om196cewElonnwErzbxyXgyBaOJWMXiobbUVGZ1EgFHV4n1zMbnuGgL0H66oVJ8G5Fwb p8aU5Bhck+oiCNqsjEEmpwoZ4SuEItShdldRu8x2F9dWfnQ3zyAPsX7z4cPdFta9MSyM3gbX0BGr P30SWE1bw9BPLMEaMewcrSlt/J+zJ1uOHMfxfb8iYx42uiOmt/NwpjMf+oFJSZks67KovOpF4baz pxxTY1fYrunav1+A1EFSoNSzDz4EgPcFgACIg9KXVaOCYSQfR06GflRqTIy0YrHdh7zaAp+wT1jh +NA0zhTe+d4NVBvLJ71+/Pn69k9URRM6MDSIDqnm4oFoH4+o4zTrqWCBYHR3lh6+9BzhNYP0eAhA vdF7h6iP0E1qKUWuHfowbBGZFRA07FJVKOsiKte8ylNzFNV3Fex57hSGYLxgoydwTVCwgsZju0Qu hpA73LnD5EDZrmuKqjykqc2YyEsKu0N2JzwqSZ3wWNLmo4iNssMQriuWLgCHpWJ7Pw6kGT9S5Li1 eUa7a64JxAnngEqeN2A7+0OQ+yeooijYaYQCsTAusiyyCz3RoXT4d9fONko339Dww9ZULrXqmxr/ 298ev//+/Pg3O/ckWDpyZjvrjit7mh5X9VxH47zIM1WBSAcBkSXeyHhkZWz9amhoV4NjuyIG165D InLal05hj6T5tEJJUfZaDbBqVVB9r9ApXlKoQ7m85GEvtZ5pA1XVXuJ1bEnPSlCEqvf9eBnuVlV8 GitPkcH+T1+462HO4+GMYAwGRKYcJpYvGQbWRNVv//xxaPL9RSn64AhLvOcqEGv1MS1Y5wNI2HsC 7qmnwIhInt24CDw6EV/oR+DgSHg895TQ9+mvEfpaBfcNaekFaxBt8BWztFpP57N7Eh2EPA3pMy6O uceFpWQxPXbnOe3cCCINHfEj32e+4ldxdsoZLaSKMAyxTUvaYw77Q8lzdJM5ZWMdpOhqBoI8SGC/ /csYDBg+ppQjtGojBzlEnkTJ6b3sKDESokfThqtIpHf+QyLJPScjtjCVdJF76Wd/dE2DkG4MUsQL jMCJm7yP6r4o/QWk3ON8XQfzQpq88MQYMmh4zKQU1JarTtZztT3IS2WHQtreW+wLBgX6ZIdBNXnW ycf1/cPRi6va3ZVOaER7nRUZHJpZKnpO4jX/3MveQZi8sjFoLClY4OsXzzLwKBxZBB3kjb4RVXec EtBOogAxVlrSAo92uMz6cTZaxMv1+vQ++XhFw5frC4rQTyg+T+B4UQSWy7iCoEyCeoC9MvpTMcIM i9CTACi970Z3gvT5w1HZGGy2/u7UR9bwbfK+vYrRz4Jma3iY76tY0HtYGnlC/ko4uHwxS5E/jWgc dfA2m5QsXdcGWDIVOkNa4xYxEaMqidLqlPsSJN9m73FvC+tF08h3wfXfz48egxWWbN340JYaT1+o WCD3o2/xYwD7wTMR2QvcBkClqNgerC7YgzQVH3QaJKGHCBDMwx8onMyppYKoKk8sVk/DSi/59mS3 I5GiByADDCPu/iCKO+kU5zW8Ut1UHrZ2Hqx0ujnkLLEhmvFQRltuWSI7ekqC3dwlzhm9dRtjYkwc Y6C4FyP3eet7D9+Tx9eXj7fXrxhm88mdnKo361gOVr2iEn7PSJtvRGOg715I1RbRzUZ7zM8YUIyS qzHlcQG8bmKPNN7KwfnKejlpME4E3yQyXFYpsKpoL9sWG+a9fTy4vj//4+WE9lDYq8qLXroeEyqX 4OQUGpya4hxorhW7BJSuX4MMKVkdOzFml7CAVZ+7C87AeFOHTVyM9Z07Cm58JBNKV7VBeqvaC+2i klH+UzSFk3PLOwyNk9ZSv/4Oq+D5K6Kv7jh2uj0/lT7WH56uGPlPobslZnrR2PXmLAhT3OWb0fU3 0SL1NHO8/PY+id4D2v0hfHlStrH2rhCmQWMkZc2jBl6HQPXc0ypKOB/dxxmsSrUFt1V5//P54/HL 6I4lTzV3XobcujkbzMKsHWcFLfEULBcOb9lZNT4/1sf7JOv5MmhbE+1xaehrTTD6xuytVxOOZZJH jsuDhgHffEjpKQJMYRqweCDSuiqzNWRV71r0GtQad359hZn01rUkOlXaecFgTxqQUqwH6IPYIcNz CTtxU5rRvC6V4YxKZWqgzcv4jkVrKWk7DtdctW5Ry61rA62jfZ/VcGfK6sPEemR/NEoICkFzijU6 PBahM5oIx0VQpwW5OfGFCVRkTAVWrYmVrejAFYiyuDuUmfPUBDrgb0270CLcWXck+rsSc96DARcn esDTrAdKEvO+ucnQfNKhyRCNpVFg6mM4N/gutGmVe5hBQe3iavUjICO1JSqTWHL4PSu09W58Uvy5 w5hz2x9PAW7Q88JhbQyUii/Ky8KUpgueyHJb7YTE+B1Gq7Q7RrIdDBrkoDKezyU345cKFI7Qet/K pwTu8ZRIG4I8v3VdpM9KAJehk74JCdEFs24qvRdVIyIYzp5NBxqynq4/aTa6S235GL+rBEPJw9Rl tDZU0WBImlGiw/Y8RJOUFE8dlEbXZNYdfxZhX5Wet4QAi5fJaJ5lZlBfQZKou2z7yQIEl5QlwqpA Y7Zgwaw1BN/6uq37xvhfxRFWiXXXrRGokbNg2kbiYs5jFemuddHXRsl1ZNvuCNEgoidq0y9j6te2 YOkhjvGjw/CgyJI+ITI4UkL1S4HhVq3YbJ8LRgmFTdKD1eQGGmdZTkPV3bl+O2Tt4rXzQp220xLV 2KDY0uxB29ytz/ANsfK87teoYETl0alR17B7TsLEKZ2PuvnvFh32K6reeHCkK4n+2jjyqMAgaqm1 PfVg9VpWDLaskGrEtHLwmIR9CQihlW0M03ba0bRFVoT6QoephxY6jQ9i9qeENKpSyIiB/M1lL5FH vaRwzkWLhWLFzlxmBrByp4iJGyxOk/SudxoNp9l5Wix5fn80DqluNIPlfHmugOumFiRwLMnF3jTy PTA85tIrRZQ4Q6JAt+ezcbBDf24Wc3kzNWBw5MaZVOEBYdMR3HJcgUMsNngAlgdys57Oma1fEzKe b6ZTKmqsRjkR58JUZoWsSsAt6ciuNcV2P7s1A3g0cFWPzdQwmtgnfLVYWrGIAjlbranwJdJapvhV ocOtow5qZKAytCVfreCoZBCFlEEV2llVRSmNuuXHnKXmscDnufFiXhgCb5dQMqXGwFqfU49U1Ng4 3DF+MWtYIxJ2Xq094TVrks2Cn6koZjVaBGW13uzz0GxNjQvD2XR6Y/IPTjvaxm5vZ1NnampY85JJ Hwgssjzo55/kb62n24+H94l4ef94+/4vFYn//QtIAk+Tj7eHl3cscvL1+eU6eYI19vwN/zW7Etkm Wkr9f+Tbn8qxkAvktYm+rNVYINHl3dNyLx/XrxNgFSb/PXm7flVvT/YicxzhdLOZucwy0xvKpB0s vjeWr5qbLOb4dInJFLdz1lFFsi1LWcWEWaq1hXWU6PoTmI9GBl3sLvQORj/g6yR4ffzeBqD99fnp ij//8/b+oS5Jvly/fvv1+eWP18nrywQy0FK9wc0DrDqD2KBsCq2y6sCN0gbCIZk7hrTK6D3AUKhW IByA7AL3uyJoBvLklqm4hUB/sG2GXk1Fkbkvr/UTQBEeuwZsKb7nIjJeUjciSKDeTIjadYMd+fjl +RtQNdPj19+//+OP5x9m17asWxeev18vJb9FbTBJVMUYuRPBZYy01szS3zjbYIJXOspFr8AsirYZ K8heraXjAS4GrW5WZhgdpx09E2vEsZCvHH61RcVitjxTR1zLbibB6ubcz7QsRBSHZKb7vFysaMOc huQTLPDCY5zeDpoQlMa9bXG5nt3OyclZrucz+mE6i4S+gmx5Prm+vZnRB01bxYDPp9C16NA2UNWW LFUxO3vZyOPpjvKuafFCJGwXkknj9ZzPplTQsI6Eb6bhakWNYQJsTB9+FAxyPZ+pYefrFZ9OvTOw WUXo6FNvqP0FpLyAYLczFCtM4CZUmibmSGV/2e+IKIizLahi6/ImH//77Tr5CU64f/598vHw7fr3 CQ9+gcP85/5SltZ65PtCQwcESeCwjEO+SbAjYNwSEVStW+6UVpMiCfyP6lKPUYkiibPdzrGZMtGS o0lLHQmv652yYQDenQGRuWiHwC4o4hrhr4pQv3tEVvYYUbE/wgoei61kFEKfVXZZUsVXkqUnEpem KXKjLU3oMKf5/2V35ql5vdaQABBDi18ap0L0qMfGetXk5912ockGRhmIbsaItul5PkCzDec9pDNX F6cKVvNZLbNeRfe5x6pMYSHphn6do0H3R45xZjrXaxjjdekWVPBba5+pAXjsSOUnUD8u2L1m2VDo cPLqtaEqkRjMy7AwaYj0y9hDYStqQs2g94JtWVj1aDFRSBGqu4uyvOiX4nx9hfQbt7Gb0cZu/kpj N3+1sZvBxm4GG7v5zxq7uXEai4D+S4/6NDj6QinX6ENCTXBdFJpNwyLsZcpQu02pePUmDCXOLWV9 AkKnOongnKZfzm0pWvnURfRXA0h8CxI6x51M2UfB2T6br6lUFt7pE52DdwtM8CL73j1CD5Hcc3cZ aqDNPTaIKjhx2ANppErVY67bpBwNLgfwTdZ+Cu0S7G5YIEJ7t/7kYl5j6K5IbZOOFki67NoMx3kx 28zc/opc+x0TWveUXdouIDWa+vDM+1MXA5TYl7kOls3sSIe6TWXo3anlJVku+BpW4NztnhaDIkSt 2kfnRCWQzny0jecBhr7rdMAOFU5fRbG6ceva0SQDLc0Lp7YA0XdpBNwOcKLA98AlwUDD8ul3133M +ueqNfx8sVn+6O8rWPPNLaW+UvhU5ot5L9UpuJ1taJlDF+Y1WdScbqIOUF+ZebLWbLmdSqvMve3b O70VqIcJ+osF4Pu8kqeB2u+rMKG1yg2exQeH0TAZM0dYsJQwOV4M9HcJS5OBuo+eQQ/CLC2F99pB GTJS/aSK7l5R4obByp/PH1+A/uUXGUWTl4eP539fJ8/4hOYfD4/mGyWYBdtb+yeCkmyLMTfiPEEb ZwHHybSXhGo1goNkPbNfaUMoD49koP69YSxnwu6zQtw7tYK9hc9Wc0uy19VBrk6lo0cZaaSI57S5 vsJGtOVtQt8G1RcRvPeuT42PDtJxX9eqoTAMJ7PF5mbyU/T8dj3Bz8+UHhoYpRCv94kOa1BVmsmL pZ0cyrtJnYalZuSMMz+tG2LJ8Fka+Hxe1O0IicF67Q4+K6Dw/sBi8XnAOdJ39YNXPiGjvVgSxtHF hNbe5V7U8ezDoKbLY0yyBd71ENDGLDuPMw3UT3pii0K74D+Z+Wy0y209XvQUPND1B3h1VGNaZBLk Vzrzo3ON2SH0RabPKyaNE194jML15NEWns/vH2/Pv39HZbnUZmTMCKlj2KJ1xoZ/MUmrcy/3GEqo tKf0McTHiaoFzyzH3vKS7zP6ErRLxAKWN2ZwTfM0CK8ViohemmYGu9BeUGE5W8x83q9NohgEUQGF 2FoZ2H4z8o0RK2npxPEELiQVHhcMfUFSyrFGJOyzaa9joewwLUmwns1m7t14Z/uAU2NBXQ2aecL+ kJaC0QXaj3OFGGqlMSweyRZnRybtozf2eZbFnqdEAeGJPwsYXzePjfehcF7P0pAq3a7XpJW4kXhb ZCxw5vb2hj7gtjzBXc0THig9e95e8M2fUuyy1KPEhsw8fKQylnItYMyElLxuNxhNeK32phRLYaSp bX4tQZqR7ndWoqM4JOQs5PswlrZTTw2qSnritGi6v1o0PXAd+hiNVFoUhe2AwuV682NkEnGMbmqt K2fMiSQqJoc1a3chBilqt2GaaUg2U084/SAlYzQYZQb2Vqzd5+OxhR/U/kVdQfGcdhuVGHo2JXls Iz90S3FulcL5aN3Dz+4bXxpSpTlqUFI4KVR8eXd99nOKWAGHkGV4EJUwnX0vGETlro/tZ6vj51rj eRzpCXzhFk8l68DZi/NyH8yrnc+zG1NVUehH59Mb7wmyTyW6GNNMOiK9+xsgqUtEszkHdgoFueDF er40NYUmKi1tlXxIdzWCpy7d1HPdvKNd/AB+9AQ8OPuSAMJTCGJ82d34agYIXxrXdriZf8lsSq83 saOnwKdkZOLVT/ha+/lxhU+NeidOckx8bq0Jssn0/UJyzHP6VJR3nufu5d1lhMFJoOoszeyXc+Mz THqaowbc0i9iAlaeBtHRaaQ+ghf2FL6T6/VyBmlpC+A7+Xm9vlFGK+M5Z+6+B22/haH6CyltlzUT e7Gd/fB7NvUMSBSymHSMMzJMWVkX1p0uGkRLP3K9cN4GJfIMgb12It/JuWcOHs9kpAU7uyJLM9vb M41GDr/UbpOooJz/7LhZLzbWtsXO6/XthradSMP53fisSI8iEBbnoDRbAW1RayTM7qzWAH02wqXo yE/Qyp1Ibe+RPcMXKenhvYTouBKJEekwD1OJ4ZDJKaqVumaJ9zFbnD3Ped7HXi4b8jyHaeVD35Ox eMyKHNDwLLEEhHvObuHwUa9Z0rlytDT0HdFFMjprisBqe7Ga3owsl/pBWTPVerbYeCKjIKrM6LVU rGcr6lEzqzD1MCo5cihOmmZRBkqyBHhE+7oHT1GPMbiZMjTDpZsIDNkZwY8dONyjAgM4enHxMcUF 8GXM3nj4Zj5dUA+gWansWx4hNx6eElCzzciAykTaWvqEbzwGTWEuvOyrSuZJh0UMI2/GdmmZcdij 9duVXVLYKNkY9ytLdUhZ6coEFRLjs+Fgs8wszy9J6PG3wRkX0kpPjsFJUs8ZJag3esxKXNIsd+6k 8bbzHLusez9tGe4PpbUZa8hIKjuFqAIQsVO0+fbtNAaNl30r0V8fWCAM1CQ9oaBqGhrnaID79T7a pxV8VsVeeFxEEQvMKUyrkgrxZ2R7Ep9TO96fhlSnpW8xtAT063JG5tpa3sy8tp9n54H+rmniGMbT RxMFAT3jgM/LaQyOXW05QusF9xdfVJM8pw8A6cj9SnG8f33/+OX9+ek6Ochta2SHVNfrUx0RBjFN bBz29PDt4/rWN/87OdtnE5SmOgWUBhbJO51xoo8xCmf74sDnwJUqYJc+bsrONDEDCJooQzlIYBut D4FqhFoPqoDzxdrAMrSyp8evEDJZUvfQZqadQEchQ2AXvX1aMDt+jIVreQoKadpumggzmIQJLz30 ny+ByUqYKKXKDtO0NToNVWyiyekZwwv91A/F9DPGMEKL/Y8vDdVT/8W0k+82Kzmjgp3Ewby/8V/n qPslKehjRt3JEaF8OkFeBh53Mkv6OCZVvrVDttVeGd++f3hNcUWamw99qM8qDgPbE0pBowg9N2Pf YwSaCIN1+S7TNIUOiHyXeKa0JkoYxj13iVR7Du/Xt68PL0/dTbs1enX6DJ8tGKzHp+wyTBAex/C+ zUXjWZ6o57w8I+KLuqQT34WXnptAA4NdkD48DIJ8uZzTp5xNtF7/FSKK4e9IyrstXc/7cjb1vOFq 0dyO0sxnqxGaoA6yV6zWtM1+Sxnf3Xl8ZFsSfNd2nEJNdk/8wZaw5Gx1M6MlepNofTMbGQq9Jkba lqwXc3qLsmgWIzSwNd4ulpsRIk7vBB1BXszm9JVNS5OGp9Jz2d3RZAkLBK3mbIkwSCMq6kbqlJ/Z /PbHME0tiY4QldmJnRhtpNFRHdLR2QaCjcczqiUR93LlufPrOgB2S/qGq5tnybwqswPfOxGyCcpT fDNdjKy5cznaNlQ0Vh7TjI6I5SBnjjRvy+nzs5ttJT4dISjhyjgUurNOfVa5nBOgisW5pODbS0CB UR8Ff/OcQoIsyPJSe337kSBSW36RHQm/5HawhQ6lIsX3oh11+DBGFskTttSoRIgsqUcJZpSmpo6g tFMdUZRx5Av5nmxt4kTw06ihgBiKAGT4OFTFDxDBDFk6VpkOBb+w3HMXkenn2YC7dBxeHZKjPJ/P bCgT7+FRt7Ud8OGCOjoUqgb5GIzC7bkEUiQq5rQnxr0mwJ6VvAg9lyT1+nEe2zBUluKmd0miZcaH tycV2Uj8mk1cpyNU4BvGh/iJv2svcguMYSjvzPsKDQb5zVq/GgrSLgEt2KmXq7bRIYgBlOg34zqZ WCcpOCKJFVDj87psJ10W5xyQkjRbVxSao7DTHhSK7PMdS8K+oUdt3EV1e+dgTcgDmoP+8vD28Igi ey/iUFlaV+JH33sPm3WVl7bWS3tKKDDZkFgFVsdgUO6ja9pn7fr2/PC1H01Nbxk6kA23HkbSiPV8 OSWB5tvsWeuMbw1XQzlbLZdTVh0ZgBxPPII6QuH9ji6TaxNEX0G0HsKkSMIU+K0tnXtaqMsG470X E1vgg5VJOESin28PAzr7hKUXFTzK21FM5viuy9G98iBIVaSsOuwHmVcQ4oOeSDGSUyEZXd9Ixt7M PRbsZl9QgXyscsv5en2mi86saGUuBpdRBvPkfMh9FaSiSFIT5txvexaZxuI60M3ryy9ID9moVaQ0 doQpdJ0D7rKQx3RGRy+xaWa9CnQoY77Ty1U//hwmwjXYr+lUiE1/JbqrIhKup3p1M4yHpeAW2+D5 gMVwQyqKSGaeiyRNAoPkbwJWIRZlv4sahLcPW4J22c8cCjssiQH05vlJJj3YsVwvHR8jE0F1kjMh qcWg1oGvGlJE4kjtkhoxXqTkPD33C9XggV1Y8tlKyFvaz1WTAHe5Wpz7676G/x9jV7LlNq5kf8XL 7kX14zwsekFRlMQyJ4vU4NzoZNnZdp62nW5n+jz77xsBcMBwwfSiXKm4QcwIBIBAhLVOo5Lx95CR 1T4a7BrHn4y+8RPrFfPINt44dP2rnEyvWYOPnU3lYSCTt7eqGytng1YanzOVDbmTWF9AcrpL5D4x y32ZM33hCEa5zrLW6+S1Eu0XZynU3O5cP0SfdjBUzJxw7RtK4ER/fRQL34uW0SLA1yffBS2CjPon w6suq03BVLIbvbCBGqamlukVIC+TXKMFZWiEZ4Ot7QlLc9v3lqPy9q61GQ2RF78BXgryx4JjUKNl vAhqr3rHP08OTDVanhsDjYemPSGNiHtNofqz4licEc6vp6XMF9pNOCKYn1SOr0XAOC67urwdWFtW lthkDH7LdpCbWqrAqKwRnTMgcDPImJzfZrxqFFdVuwwa9B4uYyxzqR0nEo/3w3Y1wiXicss14612 6g8Z/NuxtXxvffK4sEzz0wAm194GUFzfN22PELaHKApckqaznFktLDkbKdCFB514lMrtImt3rc0Y 5W0N9VUelUwbyfQUl9OLc//fXhhJ6apb7iFn/3WW1h1gsAT+SdnrvvoEVbFLGBlLLxd3qyuJEQ9b FspGe3Uj483p3A5QVSSu80BvK4/t9b1aqB3Rh8IsKhsZvn/XeYEdUZ0PsxW2eq+c200U7i8UkEf3 rZMzdGPPvXShaO/jiS1T5Gdk9m0tLpG8HNzmyUWj5uEno6wNW5XMw4EOGo1tzBQHqUSsT7PTzPrn l5fH718efrGyUub558fvsATkR1icZrAkq6po9oWR6LQ2GFSRoUauhjzwHTVQ3Qh1eZaGATK9Ujl+ mal2ZaM6Q56AY7HXs+JhFacvVjKrq2veVVu5h1fbTc1l9CROZyGWPKbz03kIZF8+Pf14fPn89Vnr g2rfbkqti4nY5TtEzOQiawnPmc3HSuRUeen60W3aG1Y4Rv/89Pyy6gdfZFq6IVesdGLkA+JVJ9bb OIwMGj2PU4ll4uiUXj6ZJgr5GQtUUsNtZj19FAjbWjZKkfEX756yD8NUqxYjRr5j0NJIG+ln+VXe SOi4Cdwy4X8/vzx8ffMP+bQWzfrmP76y9v7y+83D138ePpIZzr9Grr/Y3p982P2n1vJ8gdemPskl c0Zui77cN9wTvyrXNbCvsrMdlc4ktCm1sMDjL85kKvpELuri7GkkvkBrTa9roBPtJlxXlM3fNifg fEKrygAnnaNA8VfEh4W4nlSJLb+L1GhqvF+iXDT5w2YiePLPkWtmEOamV2p4fAsfAHBPCr2fe4Hr jCuF8tkI4QsAPmbrATqHFeBxZyRIWtYOWSctaKzWaTr+wtSbkQVTcPpsKOFGiPBLrYnA2XJvjKvO Vt5vbB/DoH8J8XU/Wq1BsTVkdJt5ns/X2pfPQqqPH0sTU7FJoTkmLkJBoFCJ6e7qpVGsi2IodvWm PqEHlxwyZycnjS5vzWlJHnGsL14WFlo3XmFhYgVuHmXdRfrOtxxBdPBwXAn3cOjVH4riI26iejmW jNI9/EiqV73ALN98eST3ucs4oNRJV1ry61T/PezniuFhM3TEYeRFtDEvGIiHJZpXJb0qecs3UKBJ JB5+qaKUcEJGkTjn+YmCT9y/PP0wV/ShYyV6+vC/sDysGm6YJCzZNjeNzkZLvNH0lKy1rBFfJZO8 +48fH8lQj01InvHzf8keC8zyzNXTNbkpzMgI3HjISTkyWtkoiqbET1rc7sQ+Gy+GpCzYXzgLAUjb Mhr8dmVxKpUZm2oCej/2FO1jRq6d5yBrrIlhm6VO5JlJgoV0guq88/zeSdTdg46aSHttst4kg/Bl I0I+peQD0oWurh0z/eqGDgy6NjEM9e4Kipxd4zjyHBPpsqqGZX6bOCEqQpsXVYsPTmeWy2ofa+qW Sr/tQe9rjnrmHmzPoO3GuGd+DGo7YSloo2xzFYf7Bj2x00OTbug+c3EtCRlXNxOgn7CodKoMSEw9 x1HIdeeGsYkNFOaQO1JE/b1y/TaxKCrFQkziENSW0ZPQQTmJpV61+dMHghFnTgawtaDKgnSCiYPJ 7UOT7TMkEeigITPpeR/ElQ9GAQcSGyC7GOZhXLgmmp/6oa2FOi7tyOg3WzMMAlPZ+4HibdyqsmYb 29CdnWS2O23zMn1SHt+pkkhIZn1XwIvAnbiC5uKgEaSUU7mRpLMckDx8ffrx+83X++/f2TaMWwEB XZB/GQd2t3ecYQ4eqRA1WSIRbz2s1Oiaw5bL9pJ1WkuTQwP2P8d1NPq83oHtnGA4Wg2fRB9XF3ze z1H+oPOMFUDR2Jsk6mO0Ggi4aO5cLzZKVXfkYtD+mR5BlFMtJ9DCQqdyIldrG2VrJkZTVmfh1mPz oJVlucCmS06V2F510vs+V+c/J6/GmeQcZrBSFb8rzvaRd3c1cszq7W2nW95Np1v2QT+fWnDqw6/v TA1Ek2HNDn1kaKzdsae4ovqcEBNTH8Gc6pnVG+m6xYnKxE8R/ZVG7fJdEtrH59CVuZe4jr6309pG CJLd1mwzo8U8vX7ZsbxrG30kbrZskfESjUpqYijJ68OQ3wpTiN7+zpq72zBURqNVXRLDU4YZDaPQ 6ICtKdQkZc3sljiCgXREg0+6nCbHrcbUYz/0UejBZXfBU9fTSjm8q69JpBOFjbRGZUu+7+pzmYih 0vmgk+fwE6udvxmSq548D95MzwBdvYw8KiuH5DsNDh23ue+5V7lQIHN1iO33x2KfDe3R7C6m9p/Q NOUhGHnV3L/+/TieYtT3zy9K1S4ueZweKApKNhxlWbgg294LEg8j7kVZkRZIX5SmAb99N3GMp3Lg 235fQqEHKiJXsP9yrwR4YQmKExfy3VQr5Rf0XgkPN5Opvuq2RIWwyFR4LGEw1HRQrCSFw/Nx6ZKV 0lneDqg8+G2IyoP8CqkcCS5d6FwxECeODXBt9UkKBxuWq0xuvDZgxoEhaev0PuyWnZHiKTDu+F3S qxciOiWQUIrs+bZtsKG6ztgPlvfBEp9Vu9OZ6M8B2/HIrNPxAUynGnIvDZHNkcxVD5HPxyZM411j ezUrMf1ZWedjZtwTUzxSjM56nBUTpHa3w0x30jg+FjzkhBoqakxFxZYTRzIbkEFrZftT11XvzfYU dPNQEzHx6IdSPbaZwKUtIPd3rJCmzUW2zW+bbGCyVykFUwWS1AtvxnPKaQ7yJfdG0ZdP0m5vJGt5 iaV4pi5WBRTE2Mhhhsdi3ZKkq5MIHkvRqfCe5jNTz5RNwvRtfvEcNzTpJHoiB9MTG10RVQqCfWpN LFWxb2/F2eJacmTqN0gkTRVk6FIo4e9oIhopbd55Md6Azc1FZ5pXs5Y6Xfw2O47oSXLbnYrqts9O FkdVU6psLLkx9pejsXhmkTjiuaCwoy5IOq4cEnGsItscsBHh++Z3x2vomvx8wDu+CSwq51yxCSKd 24tX2pkYksRMU1X7lyLwboU5DX4UIpMLqfhuEMaxmaow7m9Hlki+w5c+5nq/DUl9VCbeYilS62eO zou8FH3LhmjghmtDlHOkoEgEeGFsSzX28VtkiSdMoKufearVGz8ADcn3KU4KR8K4x0FjYRp2fJ6I VTZwURrHIQ3C9cKf8t51HItb26mC2zRNoYMKbZ3gP29nNTyRII43kgfgkqQRPvfB46Axouo2DtxA TlJB0HBZGGrX8Vz8LUEo5JrKEdk/Rlc4CodvzdmNY9jkEk/qQfm2cAzxVT7gk4HADliKxKAIW4dL HDGMlSsgPMxmHqbmrtamz+PI0lHX8rbLKJJ2w/aU6Jpm5qTnKLn6wHBKXj10nenDtXNNMje6JB/M AOojHDGYQvp6SJ7ODNppzUQvw7f06AaluYtdtjtD/oxljsTb7c1kd3Hox2EPgIFti09DNhQ9ynNf hW5iMd2WeDynx0+sRg6mCmVm3ozswUyFOQ9+LCRYDuUhcn0wrEs6llbl0AwNSYyy+zsP1sY6U06O rueBvKqyKbQYjjM03cSsJCxENRgDAoitgHqrq4ApHI1kbOnC5V3m8FxclsDzPAtgKX3gRdZyeNFa OUiHiJwIJMsRN0XJcijCRycyT4qWT4nBd2M0pCg8tRKgVQH81AIEcGxzyOJAReH5g8KmqLB55zuw sNWV4rztMjAzhjwK4ZJa1RHeVCwM8asMa6sqg9E4r+MEFydZWzbICwpKLEGjtMbCoKrT9c5hDGvS gsGwDGno+ZYmZlCAT81UnrV27PIk9iMwHggIPFjVZsjF8WXZD5YoSjNrPrAJho7tZI44Bg3NALbh BQKEgNQJANDlday+yhNAm+e3LsHSr80BkV/gpNJk6FR/HDOf7sJCVs681QG8YTvUbleYaZab+pbv dh3Irmz67nSkGHEQPfqhh5UfBiVOBGOUzRxdHwYO/rqvosT11+RKVXtsUwuVXL68xOtClvH4ibvW XKN8hzNBiHHnleXBc2xCmiEhltJMViIZQEgQBDi1JEqgDOquBVuH1sQQ26sFTuBB8c+w0I/itb3C Kd+mjv5Id4E86Mhy4rhuu8JFy/VdFbkOkg+XGq8J/WFwQ1QIBqxqtgz3f8H0ctA7i3m9qUPXBVuQ 14ZrUedu4PjoYwZ5bMu1/nFEh3egTHWfB3G9gqSghQW28VMobPv8EEbe+jaP8/jo6mbmGIYeDvK+ rqMItmK2zV0v2Sav7Iz7WLlRngHWSIlFGDUZtluUGZAYZ3TfQyrKkMdQMAyHOoeXxjND3bloieF0 sBxzOpzdDAmc9cWYWCwe0CSW0HJNN7FM9wsrtTqXWZREGSrmeXA9d20SnofEw+cNl8SPY98SlFLi SVz8GHrhUGOoyoC3teWcrs1IzgDktKCTmBpNglHSFRPxFn8uMk/UgN0xg9jcPOwsSTOsOKztu3X7 AJkun3pybSurDAIFRxvKXvUnNmFFXRz3RUP+dsYrpSVotKMza1vfidzuTNrlWHInUrfhqEWrnTim cLD79kxhaLvbpYShzxD/LiuPwjHMaymTQyTyIApt2qYPjCQBPhcRw5us2fN/MLwUQzk77U4TFz4U JVP5VY5tcd4di3erPEtXn6psKPHb15GHTAyXGkymNtLQmlOdrLZR1lPh2smEQf1UWPqufDjaIRsD Wtiqm/SsFjF7F4Af9g4Pv+6f35Tfnl9+/PzK30nQ65uvyDnUUJLreTCFSpMmXpOjeh2zOPRwX4z3 +q8XSfiwuv/6/PPbJ3t5RxtnuRCTnwXLpyLdoX788OPp4cvDh5cfT98eP6w0ST+YVV9o/Ap5p8Ze WMC6qG3ueoVHi7U2+oNCTuWRr4GNwgqDaZM+Pw4zkEs25Idtuzcp2nvGmdy0l+x9e1Ldxk+g8LPA n2LfioakIVr0ZnbyR8pfulB6DkjPsDjmfXq5f/nw+ePTpzfdj4eXx68PTz9f3uyfWDN9e9LdVI/p MNVgzIZkkz1Bw+Hw0ontbpjTQzOfnz+D9hxnsAkIo7eFrNqKzUXn1uAU6jzPKiQ5yKrXiVLUk+Ju HwOhA4DRF44J3JXlkQx4TKSuGP9WMr/h1wRd4qC2mF9iXFEmoyU2QHYDy8JxUZGVF5uoNXUM9d0F JMxfvAEyRVSCGR2bcIjcBGa0GJqIs5i10kzX5KCtsyt3o4RynxeulZRP9J4Fl70YTmtfjp68UJno EcVtf91scLE4vNokixeilQLwUVXnMI9sqLI+Xv1aPAAA41oITDhuuNRea5OBPOm6INVZ3MLSVmUd u45Lswa2Rxn5jlP0GysDuVzKPCOByTT2r3/unx8+LjItv//xUVrkyB9oDmTCduiU6OusAF3b9+VG cwvVowczm7zOIDsBRiG5u4f/+fntAz1knNxsGqtxvdsa4cCJluVDkgYh8hvH4d6PZRcHE00+xKGO kyzE1eSzwUtix3jeK7OQU5Yb+eJSnM8s0KHKZRMXArjjXed61bPbbNMwduvL2ZaXZuGz0NRzW95a 4/tpxUUJAbNVuZK1oNpd7FKK9DYJHkDOqPzWaSYmiJgabS3I2DxC9FuZ420/70FaWi3vDehrviR7 ev10Bq2k8+NQIynLzc0Iu/BAhcBRca26rO/1dPfZUNCT3/62t/gN5h2VuxS4baUmpuEOUQ9lFDA5 YXH4Te8ZOt7C8ndEZfl0FX6IRC56yxxFlyJE8RtCJRA+2VUafy+R1+1WfYxF0NuitmVMMLcrhMe1 C6p152SKqM8H3fhqpGpvYhdqaIxdQU/Q6eICy3dXMzUJTGqSOmZpyKATZJuk8C5zQRMtpSFSrrIm mnqwyqlFs/PcTW0bZqQmqOmYVnsT5ZapEfhmutVI+pRv3MAxJa9SRNad2FSSl096riGTh9CxRHPg cB4OIbyM4+jbxNEadNT09Gz6Il9bNfoyiKOrtq3iQB06LiBpVoec/vZ9wkaup3PLjgzEs2Vj6cw2 vgsad0YT6SNZtAmgO+a11vX8FdF08AB2sOKVUTlFoIGbKmIxFyD7rtiWplIuzZacaEN5y2rfD6+3 oc+1gUl41flpYBsBs1Go8glLsqqRkyM+So2HV2Rw6DohXq2EpaLFr4wAY/s6Jxiskkgyg9Spnhsb 7SRerUGy8lxNSsRsG6In0StFTuGtnwR7IDdG1R3zjBhbGWB8yWk/pfndG6mGqTRPbQSzkzXm36Wi iKLW+V40RZUpoSpYspfK9WIfTLKq9kPfN0qR+2GSrjRiXEXRFb9KEd9HfhK/wpD6V6TQc1h70Ee0 8zXRNSbwSJ7rbvpTS4kIVFfSBL1Ab4JLHboW89kJtg6iS00LpdYDtbk8MlrgOAZNuYBYaGbR9UuJ hYYGKi+BJf4GLS3toRbvUS2xXmQmpt2iS0g1HS8xxDbb11Yd95CDIA70OsL3ugb7Tmuj6RaOhLDm IpCfH/UdWN1lJ4C2XeGUCUuUjvRlHy0zSVhBI2BXXsn1flsNmexocWEgf6gn4Rq5PyntsvDQhQa/ z5C5pBOUiY+pnHtN9iEeUktjlA/tbxP17lkCt6EPTfgllo3uk1zCxvlXbVskKk1G1uv0aMmSGt9q r6ej7bwlRNvYLoi0VTYxfUhLva/t5lQkgoVgiCcbc2uICxGhX2kakYwjjUkajFkT+mFo6WDLW9yF oeyr1HcsX5NJkhe7+EXjwrZmTStxMaUohk3AEdig/IXNFRfO+h5eZbG1zKiBvPp9AkdHJVZTGxTF Ec512iq+0qLEFiY4hJ3CxXeYq3UwH/coWBIFsBYciizzftxhvpbvuOHEUAg7nEOxb4VS2BvomZKG Jt6rrZl3LmsnZD0qMXVh4Nr6tkuSEFncqCyRZTzX3bs4tUSQlLjYTtvF5i0qkyUmocqUvjYQxc5j tU7dppQdfEmAsZmXsN3prlAs3iTsnCROZIcSO5RiSPVUsADvcvJM3lkc3C98fNO+2gjLHt6EmO6E 6ObmW8KqPcXMhrURatWmbfvBpjMIlvOx2G1OyDBG5+wuUEUx1LQFoh3wZgM/YrVyoswCJV4AF2Iy vHQjHzYGbdQ8Hw8IsRv14Bibdrp2LLXIN466/rooMLe8BpasJM92nuvJ665OJNXRcNkqqZ6qW0YJ MF7ML5i+P1GR0NJKYqeDp4716CofT7WWzIjStEO5U2pE1K5UfDGNpFtxPPK43X/DnTK5iyZO0jMV H/s8Z3GloacqrhUzpCkt8N71MsajJqj7AOM5jyGN+hA5Z+EcerCSE12Pnaq+SAjHx5mM5ZiVTX/I tu1FZ1Oqv1RduuSTALaBIWdnlttAwbjZHs/cLXpfVEVu3gzWDx8f76dt1cvv77L3lbETsprug4x+ EGjWZFW7vw1nGwPd4w5sD2XnOGbkZMcC9tujDZr8qdlw7pZAbsPZ8ZZRZakpPjz9AMG+z+W2aLUb NNE6LX8gWcljfnveLOesSqZK4jzT8+PHh6egevz289cUa13P9RxUkjxdaOqZg0SnXi9Yr3elDmfb 87wdnoeKgMRmuC4bHru+2RdIW+DJH7xIek7CSXVRe+QqQzTQkjJhuyrrDxQY/Zazv6yp7i7N5H1j bDLUNEpHzY7yjYbT+4a6xN5zTBa+O9FgES0mbsy/PNw/P1BJ+Sj5fP/C/ew+cO+8H80iHB/+7+fD 88ubTLhcZkK6OJZ10bChL3vitRadM20fPz2+3H95M5ylKi0WEWxY6dZkEtTI3m44b3ZlHZ51A53b uJEMbd83GV2V8u7u1c9EwIa+4H582Z6wp2eWe5XnVBXSOBrrBkovixjznH+cxnk5zVK0kHLhMFfj t0ofiiyMQ1URF9KkDGLoaWSBXdX9zSxMOIRNMLi3dh02Eo5AeVhflPwvvMwulYHPjsa0syyOnehg NsIuSpSDDE4Wx8qaBGB6pKet2wsdCBpOZzO7lZ9QLci2FvOo3MP06qyqWiyjhm6vSYqlC0T4HRzz lBhnaWPy/T9lV9bcOI6k/4qfdntit6N5iIc2Yh8gkpJQ4tUkJVP1wvC63V2O8VFhu2em99cvEuCB I0HXPlSFlV8SZ2YicSUkGdWTk7PjFjoGGa/3lue82LizViCpOHycWTJR60oLs/5UC9YgkS3+gMwB as0fIgo3Rl5egaWbMMOK76Wpqilp693L/ePT093bX8gBHDHudx3h2/r8I/Lnb4+vbEi9f4XId/95 8/3t9f7h/R1Co0ME8+fHf2mqL4rWXYytFBVPSbTxjcGPkbexfJ9sJrvbbdSbTcA0K9y4Ae6QSSzo EozAi7b2N+r6qQCS1vfRSeUEB758fXuh5r5HkKLmF99zCE08H9uAEUxnVlN/Y7QLhFKOAjNNoPvb lcpfai9qixqzl4KB+c3XYdftB8Ykm/wf63fe8U3azoy6h8MsWxiMe6ljygr74inJSWiVYL4NRG6w 1kHgvtk8AGxifF9l4QgdzDIveGz2x0gGndahXRerl+xncoBt2M5oGOopnVpHi947Cmweh6zUIba6 N7d65LqGGglyb2gXLJRGG31AmeljLQ0NrwN3YxcsjgemKl/qyHFMxb/1Yvkq80Tdbh2kXznd3poA m7W/1L0volBIQgeyfKeIOiLBkRsZjZb0XiAslerVoqL98GITbZ46GqFKwmNE87nMozFgZNzyoY8e fZDwrSEMQA7UaDcKYJ0VT1xbP97a7R45xTEimcc29hykkecGlRr58ZnZqH88wJWTG3jjCWntc52G G8d3saOkMsdoS5QszeSX8fEXwXL/yniYkYTtzKkEhjWMAu/YGpbWmoI4bJM2Nx9/vrBJhZYs+DJw cXvq6ekgjcYvhv/H9/sHNvK/PLzCi2QPT9/N9OZmj3zHEIEi8JSIGYKKTFWZ01TQmqaOp8yT7fmL nrp7fni7Y13ywkaZ+eU/rWhsskBLWCDIjUwLSuoaQ440CAzjSgvWahtTnDkd2yJY4CDGP4vwXf6F AQ1qNsO+u0UK6QeIDlcXNlHH1/UWBnSjY4FjxOPhdDzy1MwQfZJxEKJxtiTY8Jk4NTKpoXYKc+Fe MXwcRrPYItTICxCbxuiRZx/aGByaTipQI7S80WdtFmu+gcGwXW/UbWgOtNXF9WNMVC9tGHprolp0 28JBo0hIuOm7A1l5a3Am1yJym07uHAcluy6W9sXBRh8O+PiBoYXDRQ8tjHajcXynTnyjAcuqKh13 gvRUg6LK0Wkjh5svwaZEitsGp5DYRx8OG3aXUTdZckBmPwwJdgTbP5Jtop5e1sXZSXHJcdPLrXLO aOZMcRrUg9hDGoecIh+N+SLg9HYbYaaX0WMnGi76+8BjIZWS8LLtn+7ev0kjheFzwHax3dOBQ3ih 0e2MGm5CuXXUbMSAXFN9BF0GXx3T1q7P5fJgbfLn+8fr8+P/PsDSGh+xjek454d3Bmv1oo2Mwvw4 9vALCSpb7CnnQnVQ9nPNDOSzIRq6jdVoUArMV7/wHXGTDz3pLnEVnaccFdKx0FI/jvlWzFOD9mio ix40lZl+7VzlfRgZ6xPPUU7lKVig7CKr2MaKFX3OPgxaa6E5HmELrwpbstm0sTrHUnBwLkPcJTAF BA2RIrPtE8dxLVLEMW8Fs3TemLVnq0IGjfhpuZhXZ2vpOG7akKVhbkOJ/M9k66gBo1TN9dwAP8Qh s9Fu69quNklsDTO4tkuCSuf7jttgA4Mis4WbuqxlN5ZW5/iO1XyjDBaIzZKN2fvDTXrZ3ezfXl8+ 2Cfv09OJ/Ljn+webcd+9/Xbz0/vdB5sNPH48/O3md4l1LAYs47bdzom3ylrKSIZITJa14ba7OFtH Cp80E2XtHImh6yKsoeLF8P0WpkzqTT5OjeO09bUYSVhV7/m7j/9x8/HwxiZ3H2+Pd09qpZVk06Y/ WSo3meHES1Ot2BTU1ChhGcebCDvFsKD+NBYx0s/tj/RL0nsbV29NTpRPefAcOl/WaCB9zVnf+SFG 3GpVCo7uRnUvpr70YszQTMKhxf6aP9riC6WSLKzKlFZhGC+d2DeIrCZxqOfPB1c0biegl6x1+62e 1GgWUvWU0QKJbjALwDLqdX6ixi5bejHEiBHWtWabMpFDL2bxLFs25Gk5MmVBugbeMCMutpi3NGjk ykLa3fz0Y5rU1swrsXYqgIZOs7p6kdW4CNRD5NTXiEyJUz3tnE1yY5sMiIputJ4r+w4TZ6ZXAT7n mbTJR/1eXjK6g24odlqBR3Ki58WACABrdiMDHgplZNjiQ7BU8VgtDtlvHXUbF6hZ4lqOM01q6qP+ o+i71GODp36YA6gbVz/j0XS5F/tGuwuyzZ5yGxzr33xNXTYWw957lRoDBYhzMg4QVnsL5iHWlUk0 m+eiVM0oCOsXTTpEupblWb6+fXy7IWzi93h/9/LL6fXt4e7lplsU65eED1tpd7GWjImn5ziazFZN 4Hr6CApEV1eSXcJmYPpAkh/Szvf1REdqgFLVEG8CYF2xIimgsmjoPS575zjwtKIK2sAaQ89qRC4b NDzUlJk7WzDapv8fE7ZFQ0WOahXb7KnnmEF0eMbqAP9vn5dGFq4ErtdrDcOdiI0/P/g5HRWRErx5 fXn6a/QUf6nzXE1VWbBdRjdWO2b3jdpJoLqaKqblWTKdwJnm6ze/v74J10bNlhlof9tfvxiSU+6O 6DMGM6i5KYxW62rIaZ6eNNzV2Di2tDmqBopcyDZjDvN5X9eJNj7khqIwYq/pFOl2zIX1TcMShoHm FdPeC5zgonU9TIw8wzsB0+1rhTpWzbn1icbYJlXnZRpnlmflfMs4eX1+fn2R7v/+lJWB43nu3+ST Vsby1GTZna3uU9bKloRtxiJCq72+Pr3DS+xMkh6eXr/fvDz806Ya6bkorsMeORdoHrfgiR/e7r5/ gwvOyDPylwMZSIPf4qRFP9D6fPHtl+bTpjAUgzCavE42bT1JZLGi9nb3/HDzP3/+/jtr1lTfgtmz Vi1SCNq/tCqj8aPBV5kk/U2b4pY02cCmlanyVSoHTGG/eQgxNtQh51EhX/ZvT/O8yRITSKr6yvIg BkALcsh2OVU/aa8tnhYAaFoAyGnNbQ2lYv1AD+WQlWzijMUdnHJUDlpBA2T7rGmydJDv/AMz63/l sWdoHJKccno4quWFd8tAYWrleBID4FU2KGpHebBGs2u/sXnpP+/ekCA80HK0ac5qgnXh6b9ZE+4r Zonh7n2ptyQTrCRPUq2pkusuazzH4sLBZy3NWSNii1a8N9tOzQbCyYEetFpGrZvyACq2fMoLZZ2F 59LQi9r5QNAv9k5k2+tvEy73m/wxjdD9HOjT6aVPmV0Qh4IJbVbSM+6LS3zXtqO/nrHD/QvTAc/D FhwIakTSTI2sqfRdd3U9PLq5QC2q4et954NpsDCTi/ZcyExcK/jIQZIkw5w04KCGCNF28NFJywTK j32ATGUVsxBUNWqna1NpCfvpHps0M+RSVWlVuRr/pYtDdPwHPW9ompW66p00VfVVu8h0U7fgIw2i exZDdlFDfiqgeKDeUv5uvIe8kG4LRgo0Ujewzmh0c6gFRQEl2RXDoe822uVmMJ0kRlceoBDiYrcu 3BkT7rIqbCrBfGYl0vZC44eYD9pYNWGmVRD7NBapaWEqGGm1jtSVa7BqBamxOWZR1GBvlbvZE006 846vDjO+veZSTNtb2JjPh4zd3f3fnx7/+PbBJgrMmk8XKxCXhaHiDgCcX6VoIOLZFCqMS2Ms+Bjx VK7mAorIGavpi8uEBhmJr7SA/J7hLR69dOGab2EhKYzR5Va/ZzxxrD5qqUDqfGcBV97XlKq9XObE 2y30HWzM03i2WOnyOg6C3oIoF7Cl8pAyreSnzRdIuliJFHX1qb65vbSof5L4aBe+pLJeWAdFOXbN YmHapaErK6mUZZP0SVmirZClsuv/ieJM3zNHD+KW6yf2cbfumPKX2BaVqw4Vqs/G1GJKoa3OpRxw Hn4OcAlEjxylIhBLl6ksRd8nUxIs00ELMgKkOikMwpDlqUmkWbINYpWeFiQrDzD+GOkcb9OsVkkN uS2Ya6cSmWqLGCXVfp9XRMv4C+tEkzLQsj536rWwVjQKxBhXiQXt4cl0NdrfVKmqxa87TDhvMbxp rZd5eKakh6E5bf/b99RUpzuEVZ4O46UlJO26qZJhryV6yZpd1WYc3BvVWVBadtgeFS+zGpNlJk1f Y23UN+fS6kvzLuzygbklNOXB3bUyi4fp9XRbuPlVJta2LerzxnGHM5FnmryL69wflAkYz6U3aSTZ RgO/gqHVV78xwomwRKB9n1eVJsBFV5OLWZWGknw4u2GAv+IxVwcp3/gQNblkq+D0osDyIoLoHKoX hqRuHKOvlvAawR6PXksabAK9aB2lfY3R+KxW03RyjmNXT5bRPITm67Rbz6jC1873LXMVwHddHGFj LZdE4rhOqKeYFJQ1leWTqr8yl2YUH+UzgVjLkbQbL7Y8lCLgEHWDhcb0e80OpqTJifbaJiMf+Ds0 lmRycsW+EUnhhwjnNNFntuY0N5rgi9BhSioFOkcHJEuOla9ZGVqm9FBhNIpS0y84b48za2Q2CrjO ydWLPJJtvZKVretHmoQKoplU6259u5ACHGLb4ADui1g3Bpw0XauE1TZtEDumfGYhFvFfX/79A1bO /3j4gBXQu99+YxOEx6ePnx9fbn5/fHuGtSOxtA6fjatI0rH0MT1NjZm/70bygYCZqAaCE83eZXnc 2+RygrUcTlVzcD09i7zKTdkiWcsmTOhrOmJIJ+r9fKCWhYde4hGmsj9qnk9D646mmt1tisz3DNLW MCmcGKAvJcKQUJU0udBdZgzS45qA5bsLJbGnHmWRyML2Wj9lM+uq1XTp0quPmzLStdiLcYPL0jH9 md9w0KWD6OJHRKfqRQOAe3pWTQAO5qJywiqT8Ol22Sdp1RArfQBP0eo8ABsf+FnGJO+yk1kZAYsg ClidBN7SQ8FmAPirNirrheJRvlQumCb8AJtY4/20doyY9aQ0FEHiYOMh/pifwaaLvY4Oqbq2ofHw k2mfZtRS3wk2ZkbLooLe25gLNE+mZuk1c2syMzFWg1FwkIxAVPIKivg1k674zuaMfy2IhsfS2LSy rbQ6wasN05sxK5MnYJsmRoa/yTBSgIuITZWFqwZR79G8C3pqKj6D6Co94V1S8PcsqNcOt0fadrl9 6pMx1Sj51hHjNvyPBa0Tc7urfU3GC6wwRO3fHh7e7++eHm6S+jwfRxy3FhfWMbIB8sl/qbar5ROn fCBtg9QfkJZQHCh+bXGAnJne9pbUWktqbZ3SPdZ5AGasEHaZEaWhyZ7meNrZWDsjbdiBhNKetd2V 6fT7WtMrIu/BI+Sh5zpjB8vDOG1Ot1WFSLeMjK/LMH9qSA3XWhTVPh5wUe1OzNdPLq15MIdAPcYF FF4T8vz0+sfj/c33p7sP9vtZDWsNHoOIUESxCNES3h/4xpnm/C5Yk6bGVHaBu4rBn2bQpQVsS7KB pdMNkcoEZqfZkyRbYaLlCqg9C6XiYhkJ1ig+LTGX5PXEgIOiL9orfHVa4IkcekuBMF4IJNVVBAmv YOOFcbezuf1c2Dh3t3Vc5armDwiatl7SE55e29q9GFjtH3lsIyZLZstUDzXh07t3dgSzyQrOumFV 9WZG3q8rzTYzFqTfquEDDZamG28Xmtmd2Hw/5s7R6JKtlm6MD7ZSLHgfySwJUEUM8TVs0EN/KSzn lX7lTNWeiVudZxfVa1yJyu97N+zL8Z67EQBrTpgHGkSHLgEZZlr6CnqxMaYVC0O6b3WJWA36jxZZ z9uMsqcjzB4jXTGjeeoa026Foe5b+wxM4mOdQbCVQM7UaxuYCsBD0YCjtpLN+Eob2v4jJgRLNvpG diPnZwrXd/v6QNTMvvazr7FQdI4uRVxMCKxE4O8l/pYwqkjQqNn1nJdVV4rJBv7zcO5ojrQJYG6k L4AsSG9FwhVE3+2VcQhpsaq1nMl1mQm6/TE+/Omfme20cd0YKetps9F3UEZ6oM+KRnooXyGQ6Rtj 3VQggY++PCExBGgR8iQIPSSvXerFONANbYKo7/TqlUXfktYPcn2uuQBIRgJAmkcAgQ0IMWDj5Rs0 cwYEqLUZIesJFpVvXc4ED36ZXOGJbCtfE0eIVnvjRagt48iPVaHvP5NuxuW7+jr+BGwQFeX0LUaH YExYQr3naGHLJyglkYeGgZsZCn0ZAajctbBIZNZGrm+scI6It0GfIZ8ZYt9F5AzoHqJlgq4G5ZhX BboixIwiLcsKPCQHE+g5cvzQotZPuGXofSyVZYvKDcf8IFob/jhP4CD6yZEwsia89fCLl2ruq6og WDC3U2SOAW0Rb91wuE3SZf1vhWeMo2oy1UnhhjHSYwBEMSLwI4D3Pwe3yCLDCNgGOIDj0PYancTl O1hzjIC1TEy+Y2JHVkoVuN6/PjU5TLB99NWUmSFnow9qmJuOWaF4aNPbtc/ZpMM1Vu8nBL03LjNY 5isMib1Pc470vdaZDJ+ikIuIEyfbv0AGAk7Gv2gPXa5eaV+mN2METYN+KIhY+7UguOzMaJOxP4yl Y8ECx/EGwv7n0as/mdGNbrTFjGsu8ExuC0+5mSQDoYP4AiNgqVVbbALcprUd8T38ULPMYj0jIBgo m+Ohk/eOtF6wsuM0coRIjQCI9H3NEQi0+7AyFLnr1eE8lhcXJB7mq9o2mzkHBJtUg/LN0J5s4wi/ GDzzLIEbP7GBM6fv9oigL7DXI6OZAuPCsbDYk0+T3t1gXdH6xPOiDEOEX2ZBsIkDj1OJucxw4tdF h3pA0IPMCgPqJgGCxn+UGFDLBnTMTeJxMy38foTTN+gYAciqwnEG3/ZptDaVAoYY0TZGjzF3SNBx yYFnyBxbMbaO/SjHxGK5TqmwrNkOYIjwQm8jvIu2MTo43rYEggWu5PWVL4hsw1rfmp78tihArQE8 uBLYD9zMLPZTGSNLGK6JRAl3RjEVLbGDTjPgoRNyAa2av5qwSb5D1KtvyiqM8okYM2GZHF1gWWAV EGPnoSH1UUP5gs6OXykSRwJoai5DHtXIyeznsONrWVc2ZjVZeeiOaKszxobgiypnyMhsF0h62Q4W 66bfH+7hpip8gKxMwRdk02WJtQisjo2+IyajtXYrQEXPsDVshXdZfqL4KTGAk2PWNNcVmLJfK3h1 1t4FU+CCJCTP7Z/XTZXSU3bFD7nyDIyNexW+8j1oK85691CVDW3t7ZcV7bDf2+E8Syp8O4LDX1nx reghK3bUsmHE8X1jT/qQVw2tzvbKsZy76rwiVqervdq3JO8qfLMA4AvNbvkxIXvxrg0/T2tloAlJ 7fnTzo59IbvG3ufdLS2PxJ7vKStbyjR+pWh5wg9u2PHM3md5VlYXPF4/hys2H1/TdX7Pq2D9aq9/ wfqmWSl+Qa789QwrQ5MJwbenQGEdtNrj0aA4RwXbuyuyXZzzjq7LX9nhp4kAq5ouO1nRmpQds0xM A+wdUWcdya+l3W7WzHbBBQornhO49sSE3K5jdUPZkG+FW0LXqoFsBap4nWVwJXolhS4jdhPB0CyH A96ZvQasAHW+YkUay5EvruNNlpWkXTHAbUGa7kt1Xc2ioysKw6xQm63oW3dkymxvgu7YnNtOnOK3 Mp1hlB/qFn+/g5tDSotqxST1tCzsdfiaNdVqC3y9pmyMX1HIlhmtqhmOZ/zmPh/o81rLYNoERfwP EbSDzTdVd2lOELbWNAdnTs/4bD7PJhEnfwjeraqOCR3gxjhz7cRN9sV9A9y4kw9ENqoWlfIAGFDh PaCusRzFBIZzXlNwB60M7M/S9i4q4KRJjsORtMNRvWLOMMsX0nlUYOKHLRY/b6bX3/56f7xn/ZDf /aXElZizEG/t6jnNcFnVPL8+yejFWj+o2nCxtUBHjpfKmsPUgGi3r9RBKwFJDxk+cnTXeu19s4oJ SHtLO8uYURT4o2dF21H5ntVEma8LjS+UPL++/dV+PN7/HXudZPzkXLZkn7EREt5klpJsmS867PKK 57OUqBU0uVhGZsfX94+bZIkokmJPGo3Zd3RfsFRXqjl84YNzOfhxj1S5CbYeRhYniUdZnQQquwWF kuZg8Etcof0/1p5luXEcyV/RsTtie0eiRD0Oc6BISmKbIFkEJbPqwnDbKpeibcsryzFV8/WLBEAS CSRdNRt76GorM/EkkEgk8kHBVE4uc/wSty7BTTEDJ7jdrbgSQBYw1+gNZCZn2mX51gHVajIIqomH H3YUPJuOPX9FPeooPJ/OZ35g13broSCfqudgMmqqcHooDm4t4dI7mFZU9Hj6BbXH00dMi5/PKC1H h13hV8UOPiYVFhKtcsE6pYowWPlksDGJtt1cVUvFdDWjdTkdntTwaqzv13XP1m0cjk7Ugz+aMIEn 1UIau0RO/y0QeRS3wOXcXWhyjvzBmQX0fGqvWuXFDaryam9voi6bJqoGZ6eVsC7J5lDbYNZgKv/V MKqpv7KXuPYcd5rISNsjiarCABKnWhVVaeivkOZZrS8nv7QBdnoDW8AM/ySBN1XkzVf2aBI+nWzS 6WRlt6gRSqVssRZp5PjX0+nl798mv8sTq9yuR/q69v7yICgIaWj0Wy9I/m4xpzWI38zqAv8MgWmc OWVpLb7c0LSKG11pz6kQi9ieEHX6HU+/MatebNl0MnMDlcFwq8vp8dFltSA6bZH3qAm2HawRLhcM fpdXTi9bfJRwymsX0exicRtYx0E10AYRiQjhw2I/gAlCcYlIqs8DaJKfdT1XnhkNFr/lVJ5erxCn 8G10VfPZL6PseP16erpCHPbzy9fT4+g3mPbrHXi12Wuom94yyHgSZ8OTqJKm/mwaxe0XR7BA2Cyu ovjw8zpA/Wkz4m46sZkpBLfhPFknqZri/pog/s2SdZBRqtBY3GkawcXAyZyH5d5wcJYoR+wHqFm7 pErjbRB+hi23oUVaSTXk3636IE35m7pwKq8oL4ayCm1/WgA5aUg7bCSqlwFH3LiIAgU5uIm0nPxz FkKkMPpOudcF3d4pRMPyQ9wHRzO7AlgepxvIL0gmOVQkYi8WnCgq4TDdVUzb1FpD6tbIvoZYMWlg 7MFdNJstzNDnCdtCZL4kaawAXrtqMr8hQ6+IjwcyZWkVEHsgTrWwCebvPNjSM6nLCkYOIRp+SkI5 ARj4VgLGGOPmam6bPTz3YycaABWQW3kbZ0n5ibpRCooI0lQqClxbgJOlAUicKmHOqZmTbUGAIds7 DRCCS9ROx8o9mWgXcGwzN72qwV+TSl5ZVuYEqN/i82R7B2h5//dQveOJfmiaQ1QERNE1OMANqFA0 ifTRHK6YMXxKGOA2NmFDbPSW2upWsgkPZPaUXc6rJsmr1GCICliqkHoIZk2ehIFylmtVip6u7pYL 9u5v56/X0e7H6/Hyx2H0KBMMmzqeLmfWx6Rtm9sy/rw2hVkh3G5RT4UAE5uBUdRvO1pHB1XHreRT yZe4uVn/0xvPlh+QCWnSpBwbW1cRs4SHH+Z/1XQJD36FDFbhL5AtPd9vOHVca4Ib9X/nMEkFhDx4 uBDVl+2nTJJ89Ha9ezy9PNr6pOD+/vh0vJyfj9dWk9C6/GCMon65ezo/ymijOoCukFlEdU7Zj+jM mlr0X6c/Hk6X4/1VppQz62yZd1QtkImpBnR2d7jln9WrU7m93t0LshdIsD0wpK61BcoSKX4vcPqd n1emAw9Db7r4w/zHy/Xb8e2EZm+QRhIJefFf58vfcqQ//n28/NcoeX49PsiGQ7Lr4i6HMgX+Yg16 fVzFehElj5fHHyO5FmAVJSFSN0bxYunPyEN+uAKVlfX4dn6C+9ZP19TPKDulMrHY27lQoez8Lrum uMLd/f3+CvWIyo+jt9fj8f4bSpNEU1gMTOUjMU8mmdFPvvrgc6CHdw5h5DEis3dJX7xD5GZv7XzJ NFL2+O1839zjFFm2lqzYfe7LRvJX7aSW6r3neNHFAw9eHi7n0wPe5Apkz8U6V2YV3ai3vAFnHQid S4uoWSKkRF4MvO+rS62Qmm+aOs1q+OP2C+mtqc8X+9LRgqEDZY6UJC2KNsFosdZNsgObJtM9MC/W KFhXi5EvwS64DG6pHh2SdTmguOnGUybRNo7gq1I1DDxNtGhkf9X10QxK2AJ18CkVEfru7e/jlYrS bGHaSuokbYI64ZY/8SaJ0wgqR7HLdgy0stAo15Y4PY8pw1rjBqJIGnUUZS6ukzG6Ht8U4WBQ30/p gMy/zdNok+AHcI1im6j18THFeLHA4i5xuyHquKTaPwh9hxZYFoxvXXAbrsACw+VBzWO/aTRKLt11 QE1US3JYh1RJKXNtKPm0pVBPiTvzOt6h4JLt1Lrn6yLSd03yYSJNgyyvu+kznh+kQqzZ5VWRmpKg hpu7PU+LsKnziZldcwdxMwTfMDqa3ogZg916sy9cQgiDIfiR8W7TcyEK1sfcVOfi07l7G1Lu0iUT B9jX4+UIh+yDOM0fXwy+nIS8Qn2DvC+mhR2ADnGtAwRyJPL8YmPGtxCV7XhEKdmMESnFKzaKxujV bCALq0FW3izJ5PQGCQ9xyEgTlfhT0vHIojHjtmEUzuCIcQNPEJhoQXMMgyiMwnhB5vm2iKywriZW JihoQtpMyiAMpCEHTSXQn/IyoVQBRg2dp9RAV4ogZcHgZaWjuqUivRgEeZ0FnPwoh9CnPxa4U7Ni 4i9INGOFN4joTnyqr2shu9OBmA2iTVLHkXNvl1MegvEZyQeNTkhRrfPwGCIodgEneYrGc/gzSg4k CcSNsCQbdhBMWq0g6zXMwJiqbrNAGaOWtG4T4pQgJtfCVzWGR7nDU42PqeyRDI1s/TnLpWQG8Vpl +xlZskrgpcnMtgJQ14d+d8uLJNPP6A5MRqdGasEeBS40tO2LQSN9+0kiHrNmD+YVjopWMWJ+fr/c EykL5JNIkxuuOQoizvS1sSag403E7BcUMQm8DNsF2n6CZAuWZ7nz3hLdNkGx/giKOtJJ/FYBY0nU DhJsRjMHeJvaIBVvfWA8mRhulIjlX+0dXLRWkQfKkBnIoEoDvhioTiyeqXfjgOXXRMNSxjnucA14 Ex8qMOkOGKbYpvk6cEYJGFVMnNym14Pugl1SbPVdDNHI0QLWxHqzsLByh6I2FhbUJbMVMiO3e8WS dB0H+6qD93YiYPqhYqAk1XxGx1wnF3RXdyAqN8NQwhDZbm+20gpyACd3U5FOvXHDRD20wl4tv7pu ytuKSTq8UzwwhiPgEtTcyOQfMpCZ58+d1Y6LgVlLGVhAPcgGnkDMgelQI0VI2yAlgp/t22cph0+U x+fz9fh6Od+7XKKMwToQAhv3nbgVImrDpuIDK7DVCwkmvx/RkOrA6/PbI9G2vnT0+kUAyNsFpWOU SBmRfgtP2wY7sTAAcKtVOnG636h/nX4B4iLdJmWXdkkszJeH29PlaOQAUggxH7/xH2/X4/MofxmF 306vv4Pm5v709XRvWE0ZTKtg4kATXzvjOqa52WFM4HzPNhYSxEgi7MHgYA+D7GDKQxoqD/6A70sr Z3YXCSpMsg1tDdoR0R1DVHFsULktsYGWWj0PMTw1blCGPdDDBo8eJawaO0z+buB+FlYlCqFpoHiW 55ROTJMUXtCXbnvodkRlhric7x7uz89WF/v9Izq5FscLr2j+R5ZXSti6+EcfNe7T+SLE7oFGPu2T ULB0GeCQbOVndSn7gf9mtdOCrsDBSeSn97sn0Xd38LoUiXd45LZEr4595KyPVp304B2SAPmBggGz d+DQkpmPS4MLUx7oYfIAcl4SOzy1/qXfGW2VrsIeycATZGC4XAVVBfeVlh/Vp6fTy3d6P+iwRodw by5cogTu3BfbUrxVS/8Sh+vUvgzUbJsy/tR2Vf8cbc+C8OWMstIpVLPND60XXZ5FMQvMJAomkWCW MqJTZgboQwSg+MSh3U00mDPxIhgsHXCeHGK75w4Xh6+vP7bWK+oBG3iIsrBaCfE6dPH9JEGcLGxa gxBtK1lOBh4laQu0ZjFJr5A3Q6HHdaWuSHLU8ffr/flFn3Pu2BWxuDiFbaKI3jpFo8rkS57R7hWa ZMOD1Yz0X9YE2vYJA1lQT2b+YkG0KVDTqU+riHoSad033KikWM6mTsNKUUE0W1SZPyGdnTVBWS1X CzPNo4Zz5vtjj6ixtYb/aCSCpov5RBtd56Vh0GLFz4TFWaSThdewgrRNFzebmJlxHaSUuy1YSIDs 93JduOGleZlRugCxFtGTvJDI/amYCtM5W985TJha1/4Mss26cNFSbrSUmOsmAQuL/WZj3lN6WBOu STDYg+cZmNJbxZSML6gwWNufCYGha6uXzmXwDPiTVG8bxXGdbQc4sLyOxMMV81siuZRNocu6kqT9 Gt8uj6hOpzNDb6YBdtQZCV54A/Ef1iyYLHHuJhbMBp5E1iwUm2gwG10UeKY5VhRMUS5lFpQRzj+h QGQyY8DgYAxymirVeDOF5yOi3E3NI+QfLwEDY7+pwz9vJshwn4VTz4y6xViwmPm+A8AvNACcYxtv AVrOSHt1gVn5/sRJXaThgyWQmT2rQ/GRqIS8AjP3fBx9oLpZTidkhAOBWQf+GAnO/xcbj3atKR+j bRGQeRCDaDFeTUofL8+Ft6IDFwjUfDxvEgjzK1h7GaTpQLh5Qbla0Y6SQZTAW2Mz0CN1gQjMLHlB XXjj2oUtlxgWQkr38UQDe96fHeI0L8CYq4pD67XWOCGUlBsN+DjXiwm1FJSHAe5HWoXebDGxADgA hQQNmHvDaT2dU8ctvOfMcZxRFhZTweDJ0yxrvky6zln3SS4+H/kFWOHNvRUeURbsF8gDIYNUS4hE nfRqpfVQqV84gMhj674lhhcsaRK3hIQfBuACbOz/MvOr+cT6An1IYDlKtPfk4oLsFIM+F0pjozpt ZTNrMYOlZHBaO6K/gbF7UzGxMOkKpZI9HC8nqISEcsEkKV4DSCbEOWuzVLfpbDwdi+VjQecAbT9Z bwCzmU/GA53SV6S6LfKf2pLJxNijGGW9hoOkjHkYpDFRp1FCK3Jen8QFCh29OxbOPBwLu6dS/PDb 8Vm6MnJpdWMe26CrboqdfilHrFCi4i+5xpHHdTw3z1j127IXCPnSPHiT4BNeIAXji7EVUQfCFkjl Pd8WUzICTMHNg/HwZbmqzRlwRmzJVsg+gDs5wFV0ldODLi4ttlSeA1M/QROYH5bxrgk1KUr5x4u2 nFupizQrFCIHrpDG6RnW9nxqTUL6IbWoaPNBfzw3HgXE7+kSmRP6sxkSlwTEX03p80Tg5qv5YEjB qMgrIZANIPmMjkLG5t7UfCQR54E/WeDfS89YauJ0mC083+FFQUiAHHYn2IkA+/6CFgcUn3AG0RlI fjDpncXrw/vzc5vP3lwDDk4nHj/+z/vx5f5HZ2/5b3DoiiL+jyJNu3Qc8kVkC9aMd9fz5R/R6e16 Of31DvalZhsf0knC4tvd2/GPVJAdH0bp+fw6+k208/voa9ePN6MfZt3/ack+g+6HI0TL+fHH5fx2 f349alNCYy2v2XaCksPK33jDbOqAe0JiomH2rYUV++nYHw9I7nrzbT+XuboKOPtSoiDOQIvuuVG1 nXr2BcdaRO5QFX863j1dvxk8vYVerqPy7nocsfPL6Xq2ZOJNPJuNye0V1NPxxIw3qSEo3BVZvYE0 e6T68/58ejhdf7ifKWAeyv0d7Sos3e0ikGkHIo5U3PPonbmr9h4ZLTQR5wy+igiIHRSxHYrdbbVp xW65gkfl8/Hu7f1yfD6K0/ldTAOa4zVL9HojerGpc75E8UZbiL3oblg9p8aRZAdYkHO5IJHewkTg uvQ6TDmbR5xOOPPB2JSrpczD239Fg9n/GTV8St4QgmhfixVkHiQprCn0G4ItGoAi4iuU/FJCVmhH 7yYLH+sJBITUDIaCv0/M2L8AMI8R8XtqRk0Pwckcm0EJyJy8C28LLyjG5t1AQcSAxmP0LJF84nNv Ank9qZXZHuk89VbjCXLHxzgyAK9ETbDp1p88gPx95KtoObY80Ns2BnOCp1WJ/csP4hvOQo54heAr OD+DhlEalSwPJijWa15U4psbTRSi/94Yw3gymaC48+L3DJ3vN9MpCvtXNftDwrEMoEH4PKhCPp1N ZhZgYYY91JNUidn250helaAlNXGAWZi1CMDMx1GS99yfLD3qCecQZukMhQBWkCn61IeYybsMVYFE 4Ujzh1TcGGmN2hfxFcSkT0j+gPe/csC6e3w5XpVuhuQMNxCqkpYQAUUr3oOb8WpFchOt8WPB1kwe 3gMtPViwFUwJqc/Cqe/NKD2eLO2o8ZwNIq5a/nI2GL1WU5Vsis5RDLf9gchJVNP7/nQ9vT4dvyNJ Xd4r9ui2gwj1QXX/dHohvkzH7Am8JGi96Ud/gI/Ky4MQXl+OuHWZ7arcFxWthFYidVooK6IPSGwC /FHAPptSQ3djoHuqz6oXIacI0ftB/Pf4/iT+fj2/naSPFbFOJXOeNUVOB5X6ldqQbPp6vorD80Qo yX3PZAYRFztxipioP0NXHHGDGZv5SQDgmwF3qyK1RbSBXpA9FBN3NQMnsGI1abn4QHWqiLohXI5v ICoQst26GM/HbGtu08LDugL4jXdslO4EuzIfccU139zBu8KcriQsJlpiNST1dDLxBzaoQAqOYOrP uT83lRPqt8VGBGy6IHjGcLjNyhc8mpZNC288p7r2pQiEVGJ4D2qAzS2cKe9lsxfwJyP2uovUH+/8 /fQMIi4s7IfTm/IMdD6llC7U6d8rcJMoKCHMWdwcSO3reqJkrN6MLhmI/VduwFFxKOtPuSHvKrxe 4XO+XvmI44pyxq6BU3OKpNBD6k/Tce3O7odz8v/rD6jY7fH5FW7geBdhzjQOBKeNGfWUz9J6NZ6b couCmEykYkJERaobCVmQ4spnbgpc8rcXmVNEdbiT6irjaVT8EHsnwYAkqjBAhUCrTLcjAMNyKXLT OAegFUq2LeliM32cbrK1hTRLQjgSHIHjwGIzlrL4OVpfTg+PhPECkFZC2JwtcfFNcBOj8ue7ywMV 8+zAEqAXNxQk8nQFh6wmoBCOpYOsasUP148JgE6IEIRV72LDaJmTdpeGUTjgRQFUvbcYKgwpTzfV UCG9nO1C8lFmoIi2NrfMhgEjg1ItfQw0Ui6iJoYzEUqsNr/GRbQcM1ymiO0yVRKHwVAJgdyVVgws Cb+l3q81BoLV4CEqc3UM+9I5dkGkjftvp1c3MLjA4GSU0uLbDJahASCHNBnYDVjwg2f6XiZgHJ81 6yC7QTaULfGUgjVJxYfgOGIfNu1H4UGCtID4FIq79PcGsfIS8tiHPNIBrkIuK2dGlMeAAwZ7vaBK 0rhRKf3MilwcTN3MmHQVwmIdmMs3KKsEnHaAgSH3F7Xo4royZgLqMBIxRthrVL1oAs2AO61+3JU9 ydlazFxpMnRnwXTNFkF40yDTG+k4LWTOMPHwBadMxOwnRR6i/EtdfFEhKcWV4RTbkxCYXjSQOG3+ qh/JKIWGJFOZv7e3dtVyekigDrQflGsbnaEs3wrWuotZvQPXwME+KeNEuybKjUxhIKVMG24NIVzn Igxvtum+O4mK3ecRf//rTdpe9tu/zWWufLFdYMOSIpEu98Y6BTDM1XIN5mMegWm2dTqMg5y+Gtmz PAc9hZ0fUzywI5UpiQURXRFgZfeB5KPEtOuQNTd5pjoFFQw0CvHas1Cc+nlZKktLAunOVYvh4puU wQAuSA85RsGhmbB6yT5Bv6yJTOo4Rd8Gj1+ayEHu7rFMQ7+jo5TbpPuKXLYm2bLWFVr9Uf55xWQy /gAvWKI1fEi37C0z1uy4eeQglLuMAKWmBA0lFGd/MRjaV3YjKIpdDodExObzMaUcA7I8jNMc3k3L KOZ2K0YcioHiHUXMmDWoPkYFZAWErIaD1UsKGPvPWpGEEU/chddbvas9QqFkQOLBTtAxn4FEnx9R oaJv2DW0rmCwQiXB4DdpLY2tvY5oOo5mz8cgFaV2RTTulKhDFnz9d5+dGYnYcjKvB+ZDig36tLKj WkjcYLcFby+SIrbUAu29E7HsrqtglR6a7rpJJOSMJPszNv3umGmQKn5gMQoAadHZHhTHCyRDl9fa Z/WA50qKMg5dmGg3BmQCLMAzcHlke2J2NIH//TtdlA5YJi2L2Z6emA+62x2FptuSmP/ZP4mIMG1b WVTmA7He7WgxUWC42WXiKoYEdwlwQzViLFhs8cg0ae45xmZvOlp38LwqiGaUG13OYupm1WfP1nVa siGrFca1cLkdXS9391I15MbF5+Q1TslZlREYsIXYYe46uJVxyEaLixlZrBjwe+kIiFtu+3rrDqxt FqR0fGuQTpVFKcRXxw6oo5KyPduWLXl4oAMhSDoV9WYYH21ou9ENp87kKu4kO/Gn67eTF4rC/Nnw HWuyPYOcHeCfshWH28TQ4Rj1dHwCcpgIabWWUqb9/kC5jbE9WNptFyuPdtoA/MCVBFBdJAP3EcPp XMHEuMy8lkmOcw6L3w0VUainSBNmJQowllMp/s7+t7JnWW4bV3Z/v8Ll1blVeUmxE3uRBUSCEiOS oPmwbG9Yiq3EqokfJdnnzNyvv90AQeLRkHMWM466myAAAo3uRj8sphqJtmhMgdu8sohMidC+7ojs sByMa7jggbXS5N1Fy+I4UCYgF3VDrm7HWqScg7aY+kueH2akVMSiBe9Woor7xLZm5y4Z2nEb0Fxr 1EhrMlkR4FI3VQGop9OO5HuA+dwlVnCbBODdSgrLJcqcdiSy5lFbpQ0ljAPJidvgCdrEukRUsiMO ynmXg9JvcnpxEkyq+30WG2/AX27oSoLR3XKebe0whfkEHDlN3yXCpP9u9ptcDt8DE2URBIeBDzes SbFEgvXiq1Af50k9dTopIgWjVasmONwizYbG9KxNvSmQIOwk3Uj/RHfFmqbyGqI+ukYZH93EwBeL ln6nZGyNFeun2pEZOpXsldoZzPV7UB3CO6GUNGaGFiZapRMnSkzBVL0N4HzkdKDJCfFWdlKMgUTH 7usAPsFUqlF1XfZjoMBwxs3tD1OjlYven0lNJGYO5s9KFUbbtMc3sOAjF61orANbAjCnrwzcl9wb QzIoLaACbE+/YlWhZsJpKGwqv0jyprukfcwUjlLYZKtRY1rB2kYktc3FFMxefJKp2SnJHKFN822V q9fZm/CJMnbt7B11Xq9v7zfW0Z3UkmGRp0tPrcjj9yB0fowvY3nAeOdLWotz0K6tcXwXWWpbKG+A LMA02jjx+InuB/1udY0t6o8Jaz7yK/x/0dC9SyQrseThGp6k2cvlQG08rRPzYpFPlKK+nXz+SuFT gSkoahj28Xb/dHZ2ev5+ckwRtk1yZm5+96UKQjT7+vLzbGixaDzmKUEh7i+R1cqUtg7OoNIU95vX u6ejn9TMYj4Pq98SgLZLc+FLIE4bVtBLG1E5KNB3srjiBh9a8qowm9WXW1qaykt71BLwxrmpaOSp QUmiXGVJ5CAHmdIf/hknWWuj/pQYawvzMiPXVfnkyXOQNyCKLU0qQ8N0+AH+vpw6vy23MwVxB24i T7492OT1itHCqCLvaG5XCdEgRfBJZF198YKYzLegifADg/IWF85A47RmMziw2rg0aiWY76Czn8pY PDibhHEBhYee+xOnwnqhG5FVt0VVRu7vbg4SszGFPTR8ZkS8XND8JUoTqyn8LaUdsjiNxGKS9xWc cFJ+4WPyc7uNFWeY7Q7vWehSYpKqLbH8bBgf2h8SqSVe+xEJpY1dI76L27zsgnVtFeEb/RMxCwmd zBM5B9R5GRBGzULM8ENzW4p1I1rz/u7ELGhuYb6GMWaOTwtzZibrdjDTIMZy/HRwlEOHTfIl+Mov k3DDZNkph+RzsOGTAw3T/p8O0Zc/ISJ9jE2S889fgh05P6WdIZwG3pyG85Pz0DSYBdsRAxIRLrXu LPDAZBpcHoCa2ChZZYRu3/usGhEajMZ/ptsLDOOUBn+hwV9p8HmorxPKxG8RBLo18bbLUqRnHcXn BmRrN5WzCO2uZhlPDY541phXWSMcdJK2EgSmEqCCk21dV2mWUa3NGc/sCkgDpuKBeruaIoUu0vWK BoqiTRuqcTnmlFGKrCZp2mqZ2jUSEYUiLtmrOAsYr3FpGxZ8BegKzNiTpTeysvZQ5ccUxyybl4qs 3Ny+7tB9byxCNEiW1wbbx19dxS9ajhVGXNsNCBR1CtIZKI9AiIVKAm6eWG6Xx97ppmV5pVH3BNbL u3gBaj1XVcMdlNSE08hFaSMGFsyp5f1/U6WmxdK3cmiILTMPDfXSKG0u1UQla2ipIgERDVX5WrQV qX1Lc1MkVf0cvueQs+4QWr7u2/HH/Y/t48fX/Wb38HS3eX+/+f282R0TvathHb4xgEbk4jpgE9Y0 rCwZ9IKOZR2oMsHiMqXvsAaia5ZTRVLGHrMEPTfSmPwkUlYVqwIDtQKm6rlrvhyAXZ3OCwa7MpDY hewYv7RuteBnh5IgiE5t696TmTRxrERGsupWr76OS9aMuIWhfTvG4NO7p/88vvtn/bB+9/tpffe8 fXy3X//cQDvbu3fbx5fNL9zJ7348/zxWm3u52T1ufh/dr3d3G+nOPG7y/xnr0B5tH7cYxrb9v3Uf 8jrMU4q+N+jTVIjCYDgSIc1eMP1GhTyfIgGOaxOMtxf0yzU63Pch7ttlXYMEjkwEDxNlkdn98/zy dHT7tNscPe2O1NYYB6mI0YLHSrNIkQme+nDOYhLok9bLKC0XVmJbG+E/srDLiI1An7SyKi0NMJJw kNu9jgd7wkKdX5alT700b5x0C2jj9UnhrGRzot0ebrk/9aiWvm6xHxz0Ylngzmt+nkymZ3mbeYii zWig33X5h/j6bbOAA4zoOHYl3HGVRVKv1vL1x+/t7fu/Nv8c3cqF+2u3fr7/xzRF6g9K15ZSyNhf PzyKCFi8IDrMoyo+1DowqUs+PT2dnOtus9eXe4x1uV2/bO6O+KPsO0b7/Gf7cn/E9vun261ExeuX tbf5oigHRd/5UhLm9ixagOjBpp9KkV1jOGS4j4zP03oyPSOGV/OLlCqBOYx+wYB/XeqxzWTcP56r e7/nM39So2Tmwxp/qUfE+uSR/2xWrTyYSGbEwEroTnhcV01NPAMC1KoiHbD1JljoyfaXPJaYa9rc Hwamd9Tzt1jv70PTlzN//hYU8Iqa6UtFqeO0NvsX/w1V9HlKfCME+y+5IjnvLGNLPqUmXGHoeir6 Pc3kU2wm+dPre+FUS9ff8M2Vnccn3m7J41OirTyFpSx9Ien7cs1J8nhChkkbeNMQMoKnp18o8Oep T10v2IQCUk0A+HRCHQGAoDRbjc0/U880IIPMBGXl1/x5Xk3O/dWwKlUnFO/dPt9bTiQDm/E3McC6 hpAlinaWUluQVVGgaoleZWLlFizyGCPDSjvpIabNUHNzjLgGjlpACCeLoPSnDDH4RP71RYMFuyFE ppplNSNWi+bz/gMq+7TP0qsStM9Da+PEa6vhzIetRJISPKCHjxOoVsXTwzOGF+pMMe70JBlrKE1P c/YbQYzl7IS0b+tH/HEAbOGzuJtaCikqAm/9ePf0cFS8PvzY7HQKG0vWH9ZonXZRSUmVcTWbO/VG TQzJtRWGZnQSF9Em9JHCa/J7iqWpOfqTltdEsyglgnqaHrDuO4RaDv8j4ioQlOnSoS4QHhn2Dctj u0rK7+2P3RqUot3T68v2kTgws3RGshwJBzbiHQyI6E8pv9SvT0Pi1GY8+LgioVGDsGi04M6bTXhg +QMdxXUQrk9OkIyxOsT5IZJDYzHEHbKbfyyCInXghFv4Ih2WLlukSdF9PT+9OowltT6kEHapIhuB ffFFtQHLOHU2DeiYLGtsUPW+6qGu1ad0z2RO9jBGAg6gQ8xlIAjd8BuEKnwzJcTEEau0J+o1Co/f +dMJ7dZpEOcM1niWdRGv36Q9UEvUoBqqalNNKE9LEEIPt6HIDkylbuc6UMzMoGQJv6LTC5tzVjUl j/xtgbgoqkzvXPOpPBMY+zi/ykLfYqQIfnhWX+c5R1OwNB5jjMf4NgNZtrOsp6nbWU82OgGefjqH r1j1lmcedgctl1F9Jt2KkQybU6QD68ckUj+l5ryXpf6wtJ+KFr+939z+tX38NR4DygfCtKPbVcF9 fP3t+NjB8qsGHbLHznvPexSq4M7Jp/Mvlg1WFDGrrt3u0PZe1TKcM9EyS+uGJtaeTH8wJ7rLs7TA PkjXtURPahY8SLFOO6u6ihVz8xzByE1rJmcp6A0YqmrMjo79A5WiiMrrLqlE7kSbmyQZLwLYAiMR m9S8V49EFdtHI4wo5+iTPuOk0VjdhZjRo0NsYpQOLsh6YWNgKfqTRHl5FS2Uk0fFLb00wlCUxpLd o8kXm8LXZqMubdrOfsrWreGneRtlw2GP8dm1Y6YxMCHNSJKwasXcahoWBXxFkhNF9i175GhgI9i4 eYXj3LcmRMZ9tGs+gDUWi5wc/A3KBiAAZtbuA31gcIm1oTGn4CckNSgDNJxsBdUEglyCKfqrmy62 g+IUpLs6o/0OerQMzSrJHMGKIGX2N+nBWPj0QLOAbhawRQ7RYBXqAy+eRd+J9waMtuOUdPMbM+Jd 7z15J8Is1z1WYykm2K2XHPpbMePCEUO9U6ECpQxQnBuydIEZzgHSSRmusVYMgqFLGatgZ4sFt0Nv h2jymjdtKYlFWRN40IQreYvmkSCgEIVuG3PZlza24k6sAwJRBQodwPU8U7NktHNhcrFMzOxfxAYq MtupfZj+RuRpZObljbKbrmFmBYrqAmV84415mcJ+tHZ6YqZdEWmMdUDh1KqsbwffU7/3Mq6F35s5 bzDIRSQxI0LI8ZnOZJWJgBkenflM6NnfJieWIPSIhomxgnBqjIE0U77UwAGtT4aX4MWc9A7wDk37 ElGLIhL6vNs+vvylkv48bPa/fP8BeSAvZfyPc6ohGH3X6OscUdRCOuLPMzh/s+HS6muQ4qJF9+kh gUQOmxPdfrwWTsZeYNl43ZWYZ4yOD4mvCwar6YD3okURDoYDqXImUJrkVQUPUCYh1QL8BzLHTNRW avPgZA9GqO3vzfuX7UMvHu0l6a2C7/xPo97V2x88GCz1uI1sM5uB1fwvULLYoKzLLG3eIopXrEro Q34ew86PqrRsaGcRec+Xt2jWxMAUY3tUMMcygOHb5NP0xFz6oOfWGIRq+hFXnMWyLUAZ25tjEpQa vUkbZnIL1flaRbWgE3POmsg49l2M7EgnisxgAZLzrhjsYtXXUsiwjNodQw/3P0Uiqoj3nqwYRFfS 0cB/vDbkSpKGwe2t3vLx5sfrr194954+7l92r5jf1qyCyFDVArneTO5iAId7f/Wlvn36ezKOwqRT yVCCe8J08ZY8V07eElaHOS34m3KWmtXMCj2SAIxXovRqhZxhUUozQlpC0Vvdb4hl6bzIHdPz6O+E 3lKSkPw6fzTf9mQod3B3MfZ9M506hsYMjoxcEVQ7rBVgXgKoNhDrHss2Qm+50Y1g5OrYNAgQtAaM SFjJtXADimwMCBog0hehaD2H+IZXVKDs2OfOUm8UvBIxa5hX+lUhV3TibIUUM4xjoxiRXJP91wFJ LoM96betMcEeKz+bFk8u82lVUlgheRErThdsxHZN0jB5T+pHL7lUFS1ED/hyDurKnJqBQY7sadOq aZm3SANgVUVNegz5nV+k8wUdwh9F8o1LhrvQM+cqsJw2M4zb2xvu++oFJncy3qbulpH+SDw9798d YY7+12fFRRfrx19WlFgJqzdCvydBhyBaeIwmboEt2kgpL7bNCEZFHYX3vhqRcc6IpPGRloiDRZdy k1C+g+hYmHjopTFT+LJugeXjGlZTq3F1AYcbHH2xMCvWITNUTZvCzeHJVU6qcHLdveJxRXA1tUO8 gAsJltEiJOulmrTXJX6IJeelZRXquUvFeS4vOZWxCf1DRub9r/3z9hF9RmBAD68vm7838I/Ny+2H Dx/+17BDYaCqbG4u5XFX6i8rcWmGoxoCNCIqtlJNFDCrKZmmry96zxqPCYIa1zb8yrR/9csfRmtX L+/3KE2+WilMV2diJR1R3TetaitiS0Flx5yjRvpx8tLnAD0iyPKUwgc94KGncXrlPV+v8lAbU3YJ NhD6gjrJMMdBUirTf/Hph30gY7CAz0h2ampmwK2cQGopOsJUdW2BN9+w0JVRiThg1AEV4F1/KQnj bv2yPkLR4hZtqZ5GgHZZb633QJdRBvQhiVQO2bTVUp6lRSePYdCXMCl2ajuGHuyx3bkIVBWQvUB6 HLKSVlFLyj5q10Stu8MA5IybXgZIh7lTPdkBEeYjlKU2wvxfbScViYHDTycm3vnwCOIXZiCZTpFr jc/Zjxe9XlBJjcD/aio8HkRAvC2hRVa0SBbRdUPW6y5EqTpqHENS/EnaQik9h7FzELsXNI3WpBNn Ighkt0qbBRpkXMWgR+cyFQkQoE3dIcGIW/kRkFJqV24jUf+gasVYFrLXMtOn00X11shmnNLK4tZE VcWBkd46VeBPgx9Fpfb15sdoqo9wxKBUcyHL4wjtWuSwvPdpA5T7op6QMEE5I0ZxAZex33RwIbyx BkKf/+0vPzQM+xnDhO2ICWTrxCi5njTYuvN5ZoncMI8gBCX9c5QUpx/VDTvSevDBxSpjjT8zqkP9 yqy9FVcXrKwXwl+KGqEtAM6yUM3O4MCANaUmxxElLByXTv605tUTsAI4O8ObPvUk6RIwEMMu02TE S4OTNMuW8i7XyCoy6tzQ+IyrbUSm+KAZgGGHK2D9BB9XT6tN6uaMG3dWNwMGuchZZal55iYdCAJB UOotLJMWfZwsOl6oXxcNq9B6754t5JvfJDZ4hbR7hilrhqlY31D3ZK61tA+8tk2GKtqqp/HEkvXu wTqmh8dkbrtGxkDLM4uMSG6LVVrEMF7XSmaddm7OlF7ICVuaYMWmRZS1Mf92/LC+vf94hz18D//c PX2oj8e3D3dAA7mk/Pj6eNt7BH64N6KvyjQGSs3m0zjgaiagSdB36RRW9oSZlvlms39B4ROVpujp 35vd+tfGnNFlW5C3oFpKQ6O0qOhEPWVOk5EDEInccuHGyacK3uB2//MHnLxChxboMhKXxjGrTAY1 8B9xqY8B02hgUeMvbfHC780qtDxZrEySoH24atEE2DFybSkq2HCs4kw5Unz6G4sUGTp1BfxKnqdK m5N+lkRTsJNcDeTgIvCCqdQdzv8DHOHnRp44AgA= --===============2659524550700798041==--