From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1754579AbcHVGCC (ORCPT ); Mon, 22 Aug 2016 02:02:02 -0400 Received: from mga03.intel.com ([134.134.136.65]:36966 "EHLO mga03.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1752780AbcHVGB5 (ORCPT ); Mon, 22 Aug 2016 02:01:57 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.28,558,1464678000"; d="gz'50?scan'50,208,50";a="869171593" Date: Mon, 22 Aug 2016 14:00:54 +0800 From: kbuild test robot To: Binoy Jayan Cc: kbuild-all@01.org, Arnd Bergmann , linaro-kernel@lists.linaro.org, Daniel Wagner , Carsten Emde , linux-kernel@vger.kernel.org, "Steven Rostedt (Red Hat)" , Binoy Jayan Subject: Re: [PATCH 2/3] tracing: Add trace_irqsoff tracepoints Message-ID: <201608221323.dPdIaHmt%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="mP3DRpeJDSE+ciuQ" Content-Disposition: inline In-Reply-To: <1471504166-27665-3-git-send-email-binoy.jayan@linaro.org> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --mP3DRpeJDSE+ciuQ Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Binoy, [auto build test WARNING on tip/perf/core] [also build test WARNING on v4.8-rc3 next-20160819] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] [Suggest to use git(>=2.9.0) format-patch --base= (or --base=auto for convenience) to record what (public, well-known) commit your patch series was built on] [Check https://git-scm.com/docs/git-format-patch for more information] url: https://github.com/0day-ci/linux/commits/Binoy-Jayan/tracing-Deference-pointers-without-RCU-checks/20160818-151235 config: x86_64-randconfig-s3-08181449 (attached as .config) compiler: gcc-6 (Debian 6.1.1-9) 6.1.1 20160705 reproduce: # save the attached .config to linux build tree make ARCH=x86_64 All warnings (new ones prefixed by >>): In file included from include/trace/define_trace.h:95:0, from include/trace/events/latency.h:42, from kernel/trace/trace_irqsoff.c:22: include/trace/events/latency.h: In function 'trace_raw_output_latency_template': include/trace/events/latency.h:24:12: warning: format '%lu' expects argument of type 'long unsigned int', but argument 4 has type 'cycles_t {aka long long unsigned int}' [-Wformat=] TP_printk("cpu=%d, latency=%lu", __entry->cpu, __entry->latency) ^ include/trace/trace_events.h:327:22: note: in definition of macro 'DECLARE_EVENT_CLASS' trace_seq_printf(s, print); \ ^~~~~ include/trace/events/latency.h:24:2: note: in expansion of macro 'TP_printk' TP_printk("cpu=%d, latency=%lu", __entry->cpu, __entry->latency) ^~~~~~~~~ In file included from include/asm-generic/percpu.h:6:0, from arch/x86/include/asm/percpu.h:552, from arch/x86/include/asm/preempt.h:5, from include/linux/preempt.h:59, from include/linux/spinlock.h:50, from include/linux/seqlock.h:35, from include/linux/time.h:5, from include/uapi/linux/timex.h:56, from include/linux/timex.h:56, from include/linux/sched.h:19, from include/linux/uaccess.h:4, from kernel/trace/trace_irqsoff.c:13: At top level: >> kernel/trace/trace_irqsoff.c:29:32: warning: 'ts_preempt' defined but not used [-Wunused-variable] static DEFINE_PER_CPU(cycle_t, ts_preempt); ^ include/linux/percpu-defs.h:105:19: note: in definition of macro 'DEFINE_PER_CPU_SECTION' __typeof__(type) name ^~~~ >> kernel/trace/trace_irqsoff.c:29:8: note: in expansion of macro 'DEFINE_PER_CPU' static DEFINE_PER_CPU(cycle_t, ts_preempt); ^~~~~~~~~~~~~~ >> kernel/trace/trace_irqsoff.c:28:32: warning: 'ts_irqs' defined but not used [-Wunused-variable] static DEFINE_PER_CPU(cycle_t, ts_irqs); ^ include/linux/percpu-defs.h:105:19: note: in definition of macro 'DEFINE_PER_CPU_SECTION' __typeof__(type) name ^~~~ kernel/trace/trace_irqsoff.c:28:8: note: in expansion of macro 'DEFINE_PER_CPU' static DEFINE_PER_CPU(cycle_t, ts_irqs); ^~~~~~~~~~~~~~ vim +/ts_preempt +29 kernel/trace/trace_irqsoff.c 7 * From code in the latency_tracer, that is: 8 * 9 * Copyright (C) 2004-2006 Ingo Molnar 10 * Copyright (C) 2004 Nadia Yvette Chambers 11 */ 12 #include > 13 #include 14 #include 15 #include 16 17 #include 18 19 #include "trace.h" 20 21 #define CREATE_TRACE_POINTS 22 #include 23 24 static struct trace_array *irqsoff_trace __read_mostly; 25 static int tracer_enabled __read_mostly; 26 27 static DEFINE_PER_CPU(int, tracing_cpu); > 28 static DEFINE_PER_CPU(cycle_t, ts_irqs); > 29 static DEFINE_PER_CPU(cycle_t, ts_preempt); 30 static DEFINE_PER_CPU(cycle_t, ts_critical_timings); 31 static DEFINE_RAW_SPINLOCK(max_trace_lock); 32 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --mP3DRpeJDSE+ciuQ Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICLSSulcAAy5jb25maWcAjFxbd9w2kn6fX9HH2YeZh8S27Gi8u0cPaBLsRpokaABsqfXC I8vtRCe6eHXJxP9+qwpkEwCLbedhxo0qAAWgLl8VQP30j58W4uX54e7q+eb66vb22+L3/f3+ 8ep5/3nx5eZ2/7+LXC9q7RYyV+4XYC5v7l/+fv33h9Pu9P3i/S8ffnnz8+P128Vm/3i/v11k D/dfbn5/gf43D/f/+Okfma4LtQLWpXJn34afF9Q7+j3+ULV1ps2c0nWXy0zn0oxE3bqmdV2h TSXc2av97ZfT9z+DMD+fvn818AiTraFn4X+evbp6vP4DBX59TcI99cJ3n/dffMuhZ6mzTS6b zrZNo00gsHUi2zgjMjmlVVU7/qC5q0o0nanzDhZtu0rVZycfjjGIi7N3JzxDpqtGuHGgmXEi Nhju7enAV0uZd3klOmSFZTg5Cks0uyJyKeuVW4+0laylUVmnrED6lLBsV2xjZ2QpnNrKrtGq dtLYKdv6XKrV2qXbJnbdWmDHrCvybKSacyur7iJbr0Sed6JcaaPcupqOm4lSLQ2sEY6/FLtk /LWwXda0JOAFRxPZWnalquGQ1WWwTySUla5tukYaGkMYKZKNHEiyWsKvQhnrumzd1psZvkas JM/mJVJLaWpBZtBoa9WylAmLbW0j4fRnyOeidt26hVmaCs55DTJzHLR5oiROVy5HlksNOwFn /+4k6NaCG6DOE1nILGynG6cq2L4cDBn2UtWrOc5corrgNogSLG9k2wgrahQ41+edLgrY+rM3 f3/+Av9dvzn8xw/aNkYvZaBzhbropDDlDn53lQy0xs9vdC5ccJbNygnYSzCIrSzt2fuRuxi8 hLLgel7f3nx6fffw+eV2//T6v9paVBI1SworX/+S+BX4P+/TdGgNynzszrUJDn7ZqjKH7ZOd vPBSWO9qwJP+tFiRY75dPO2fX76OvnVp9EbWHazOVk3oRuGgZL2F/UGRK/C/o5PJDKgMeQ0F avPqFYx+EJXaOietW9w8Le4fnnHCwEOKcgtGDWqJ/Zhm0BGnE+PZgCrLsltdqoanLIFywpPK y9D9hJSLy7keM/OXlxh0DmsNpAqXmtJJtmMMKOEx+sXl8d6a2ehI4lEFRVuCTWvrUN/OXv3z /uF+/6/g+Oy5aJjR7M5uVROYWN+A/5+5MtwUcCZgMdXHVraSFdvrDliSNrtOOIiMa2bGYi3q nFzSoWNrJbhnhpecSnJiZNVEQBHBQSQ+iG8Fj+Yi10SNzkg5GBEY3eLp5dPTt6fn/d1oRIdw BzZJHoSJhECya30eG3CuKwFxmWkDDw5+FZaxCzchoJP/YbYDWQDgZOBC3RriTB75UNsIYyUy jW0ZAherW+jjdyDXqdcNWWKHF1K2EEBzjJ+lwLC0y0pmI8hBbScHcAjCOB44z9oxkT8gouMS eQYTHWcD2NOJ/LeW5as0uvzcwxo6YHdzt3984s7YqWwDblLCIQZD1bpbX6Lbq3QdHhQ0QqRW OlcZc0a+l8rD/aG2aAgAORATLO2YseEwJCqggNfu6unPxTPIvLi6/7x4er56flpcXV8/vNw/ 39z/nghPyCPLdFs7rxOHqbbKuISMm8QaMOoXneHIy/ItbY62kEkwd2DlwoETdoOgMjhpbPLw izqFQhLpIh2KtsJk7cJyR1bvOqCFo8BPCI9wNpxANmEmAbELu0IcCsQvy/78WSb0HsRJ+H92 HBQJnI3sllpzklFsB4RenwRuWG36JGXSQjs/NpcaRyjAAanCnb3990HnKpXS3kV+tAXk4ZEE gNvcG9YcIKtbSASWohR1dgS2Aah/e/Ih8B8ro9vGhrsOwSGb0aly03fgYwuRvKzHGBqV22P0 As7sUppjLD3c5VkaiFXu6Ay53KoZbeg5YJBU1SfLkKY4PkkSIUaGtcw2lGChgwFcKTknBRgB wkUWwuEWzzk6LIQBtWW6wx4YzzuopMqTvrV0Sd8RiZC+IRacP26IIQXmAY2RGbjwnBHCxIkc 6g9sPaFbk8do14gKRvORLMCmJk9wJzQkcBNaYpQJDSG4JLpOfkdQMssOiQ/GbjpZrFHUGXcw KXecbh4w2WB+NYBqVes8PEdv3Cp/e5p2BE+UyYbyRvJYSZ8ms80GBIQkHSUMtrYpwhXNuthk 0goQqUJVCeQAy6rQ108wgj/wsTnUBBS9p3B4GJrtroq0b2jrki4Mw9LqsgXnDGsCuzwyPvg/ Kw81jED3DdjaJv2N/jdM3wKnKcsCokqYcs/vPE5ZtOFGFSBsUKOQjY62Ua1qURaB/hPCCBsI PIUNcLzMeayjjFioQMlFvlUgV98ndCFw2JSIhMM3meo+tspsAkYYeymMUaQbo2JhfSRnjd0r KIzeHfAjoYO+uNjsH788PN5d3V/vF/Kv/T1AJQGgKUOwBJhvhA3xEIeZ+4IDEmEN3baiugMj x7byvTvCR1EJy5bt0g8UmX9ffzMb3s+Vgst7cKxwZLGkwIX1hc5A+qSrxEScrAi8d5Bqq0Jl VB1iBgbsUKgyiuHkCihgBIvZyAuZJVqqfWd5dpe29HtCBt+UoXrSuR06ToYilEIaGlmvr9Qw 4v/WVg1kIEsZaiqgTAD8G7kD/wG2hfWJQCUPVZ8RfKNMVHcG9wD2gsEoQyw7p3eygB1VuMK2 jnskSAh1B9EcgFPAyJBwJxuhYD+x2goypVntJq1O+VYjHUuAIMF38K1Y8yk4Hx95pTGdJta1 1puEiPVf+O3UqtUtk7RZOA5Mdfp0lCkiQhDfAdrA5JD8PhW7klmMXIEjrnNfTO+3thNNKipK A60HIwtp63OwMSk88klolbqAExvJlmZMIyZiGtju1tSQrzkwojBwpf6H2UiiMgMPXsX0y8vb KtUL2i1Ot/sKtD+4zopCQmLbYL07HaFXS7+/VDpNOPp+viA3Q8t1O1Ms7t0YIkJfZRgqfQyv LvOAn1uqlRkydOAC3GSXV4CBmrJdqRBgxo0HUx6bsSRBs4L7UW7HmHLAawF96W26CZk/IDRO iQXZBMXFRB67xTygR7U8OgrqS1uKmXRkwg2nq2uuMDRu7blya1whqVphEOen6wR7lheObH4T RQIiz9QLUk82rRTM+JUay1Kyv29g9NKrON5FQNRlDcPqwnU5iBWg/UrnbQl+Dj0u4imEZYyI qAvoC6lCh1syMS3ru1NMnV7tTO/kEgaagHV+ca/xmo8ZN7ijmxskZPmQHGez6yXoXJnK5/Wg L96ppI41br+wa1YF8Y5v2ZIvZrQODR0AZ3/Z9C5I/L20PV1k6cyoXrUO4mpRTGtgKzDRnz9d Pe0/L/70KO/r48OXm1tf/ApcgN72NXGugDycMrENqCNJMbzb6UOaD3lriTrLIjOxVHURpnwI fMCiQkMj3G4RRZ69SVQ2qoZQky/pgmMWHPLtedoa6akB9F0ZYu+f7aSHNdnhOibehoFBcR6m J+LJmgj4JIQho05HPdDjK48DBlUVrAKsOe82fTKXWDoV20qAKG3gJJZx0WqoASztim0s1TIU bSwZOLkyfNSgslSV090vRT4zpB7N1ePzDT5mWLhvX/dPoU4Co1OUZ0OqhJk+d7AAilZiZA1W bHNtOYIsFNdMm9Db3CCc0gt7/cce7yDD9EdpX3yptY4OaWjPwYvgUnln0DNlxUdmOcMVVD90 0tr3PXt1//DwdXyPYeu3YaXG37A3EL9Qo2FR0V1GTydP5+nHaGzfc4N12JnOITHuHZc5hdOI Z011nnBgMKLbsZwWQbcn8yzmfGA47DBTnPSq9vhwvX96enhcPIOq0X3Al/3V88vjPjjb4VI+ ygwr7s4PH9kUUgDUlb4SOApJJLzhGeiYTUUyIsfFCQQELj1GYtWQnQTYDeJAoew6HQVACIQN fPfQ1z1YrUNONNCyKxvLFxSRRVTjOEwJdlThoquWClLYUK2p7UhN1es9nLrzkGp4wMIhsR3g /a2ygNZWbZSJwq4IBFfhNgxtR+a+kFwev9lW6fjY5OsYhWXnOHKzk7ImlwEQq/HuwleERs++ +cBKXDU24wlYT+Dvyys0Kg60D9d5TRsrKe0/Vj77xzn+iuM0ZCnfztOczeLx+hQoeXuG14jb uKVStaraijBMAT683J2dvg8Z6AwyV1Y2yGyQGxyI1+RpM2jvtDEDBCLaMD1qpDtUS8I2WUES Ab7LuGBVOWWoI06CwAG6XlX8hRckhcCxm3IMJnCudPQGiBi7tSybUJyaXjDZs7eB/oFTqxpH yRBbkfLkrS5BL0GESHc98Ug30uaw3NPRTmDVPz43ynsRyCYHr/TQGPkTI43GsjAW4ft3NGgC GBfmnVAVOx3vu4PS5N3D/c3zw2N0fRsWFbyfa+ukOjzhMKIpj9Gz5DlfyEGOUp/DoQU+cFt9 OJ1x529PJw80pW0KdZGaynDv32tjAvnVB74ACpHUaHzKORdNrEmPBhRMsYAKA2yz3sEa89x0 Ln1b6l9/Yg2JJZPtKgOZdrdaYqKaxm7/vgKcYCdrwby5O5B70JPSZYlj989jANaGjkCVpVyB fvaBBTO2VuLTtv3V5zdvpk/bjg42SlKJuhUcJa2Q+XEQocvQnIIlXwAAryRH2sL/YJ6a7srI QdX0zgvUdE6vpFtH10LpWFPxEqQfNXcUB6Ju/qwVKKTJme79eiFMTzWVhu7DXYepHg3PucSm BEDQOA+/0eu9j6b3+zGwodm5WAqC7FkC/tXKCDetrPWDDUUUjo9T/THXAT/JQiIPDTSm+QGW sNFrSI/h6ZD9m5vcnL1/89+HiDpT5gkeSkzpoBTnYsfV3Fnuyl86jVKlXFTzpHgfRKPwVe0m Ai9ZKSExQ3aukhejaPh57MJ9oBbcYpCKT4Lt2eFlxmWjdWCTl8s2H69ULt8VAJfD2S/t7G3U gI7oFetwuzCXtsAxSmPiGnESJ6mUT+3T4qAHvtuhMho4zQYNBd1XtuuR9yx94srxsUK3BAiO d02mbWaurXxEhuR7izWA8wBxVc4E4uAvrO5ChnwpZ9sHYxr89JsZNlIvLNEirBmY30ZLE6mX hwQPcvcVBnFBGW9MPlzeBYPY6NDGfAcQabpfPWHw1lQXxjIDXn6xyikLxWc0vgLP0taX3ds3 b+ZIJ7/Okt7FvaLh3gS++/IMG9L0am3wJRv74PVChm/A6Wqyv08MnsxiK91+7tISVvBAVdg1 XcBwiBLcp0KMCODJ4LPyt33IHR9zSQSR9GjqWH+6i4H+J1HE7mui29zqUO7ebg7gqabXBdz7 6oSxx/xHx9IzlZyhoAVRjiuaApzAXSxzN30XQNGxBBGb5D1tEKR6/Vxrh/cth3rZw3/2jwsA wle/7+/2989UxhBZoxYPX7GMFlXQ+poyK33DJYo4UCAN/Bq2g87LTkqHvr6OH5v0hXDs0oQf l1BLf7dOiNl/JWODD30OMhEvRYHVzOMyPz5g3cL60WYWAVq27TQoslG5DD/giEcCZZ8POsQh 0qUshQNouUtbW+diAETNW5ide31OxEJMO+SaNV6iUa5s5Meuia7Mhx2RFssladKSkOMXtTFx IszYTaxW4MAFf2NHvAhFqxAke5Fb6zRAeQtGUKSfQqQcxy4e/BxkF20DmC1PV5HSGJ06olAZ qGjJPiv1oXf6usILryHXBhcwuyu98QKoSLNjbxZLPt74vjNPNMNtqyAF0EfYAKi0+M59DQD+ HMOwrsvdPDv8i9uD0bJFIycvH4b2/jI/HhEJ7Hx544qpBQfeSeEbPlA6NfNseDgA+Hcx80Iy jtrDk/BF8bj/v5f9/fW3xdP1VXoRNhgZ21N9vt2PNQdkje1paOlWetuVAPClmSFWso7eUZOi I9C2I1+m26acUQIPYZBtImi1v3t4/Lb4SoHi6eovWGB4d/FvwBd+fFBK/DRO1HWUQx8YAE7T gMuXpyG4LP4JprLYP1//8q+g9pIFOoGm5PP/qAIFrVXlf3BBHzvRRxs26SUxREBSNdOJblVn cjWa0/LaRxPO+gSkGv/R3BCM8Z3tLK91Lff8bO36+4+IWent7ECNmRe3EZat1yBteO8ywsje 7+BpTUpp0PbHw9Pz4vrh/vnx4fYW1OTz481f8RWX/yw1fj6ERa96GS8ISwP8m33omisu+BFa 39liOWAa+ff++uX56tPtnj6JXlCl7/lp8Xoh715urwZY03fHi+PK4YODpAbgWBL86AuBwWtC 8ISIXw9JOb5eWEuIHIbTtH5YmxnVRCrmHaBu+UfofbdKWS7rRCHiR0xKvDuJyn5hO84S1hrp AundCTtwFSVU/d5gCbY9fe9xdRXXp/qP1dKe9BgwbfTF+S1ph27C1+tVRpd6YeHgcJNa75// 8/D4J/giDqc2kCZL9i10raLsDX+DexGcE7kowje/+Is+ZY42DRvxERlfe0aqbZcQlkqVcdfY xOFrRjKZit5PWsi9bEKAjYUdHEsT+KQfNjYUq28aRuZu3PxWBt8U+Gei+HUXHx+aw6V5RyV4 DqIAU1OHCki/u3ydTRuxlDdtNcI00XkDQU1aVmhuoNgX8S7AGK7tg0+0F9SDKxXualBHvVHx +w/fZeu4xzVIa/NgoqC90O2kYRQq/JAYiWI9Sk8N0jZJS3rU1EhK0E8fU6aLHztgLbovzmn2 K4GU9XtjLSVrYMSFBpWs1mUN14xbSc13kwHghPFhXVScwlHgn6tjDzgOPFm7DG+VBtc80M9e Xb98url+Ffar8l+tWsWGsT1lDQLExG/BsWRTCcPlWLiQxsFkpYBssdhFukF9m/WOEgGw9aqJ ynrAcXiFGU7pG2e/RB05hg2Kis2Qu67kyDSFpA+Pe/SsEDSfIYinfxuEEQSENvwT7ZEH/lWq +K8qJCT/4eHdPJ3eZhxjKHV0ajV+ylHXVC7lZCvoG7zDN6Rjs69KRL50aMS5IE6xwzm8iFnn Ju6IF0GO/9AciWaJj6dmyenrv4DUf+UQbAg04hbEDfQ3BBKJJp+JhwLJ32R0DsXwwpjb+ot+ r/qAfEF46wlA4N2nm/v950X/pxZGnBV27dBmOI0Akh2j/DDo89Xj7/vnubGcMCt0qPRV+h2n piPTYIxHNXZkX5Oc7OoHFsxsJtk8x1iy7orl1JwrCBi+L1VdfHeQupg1q5EJ8QO+ZznK5KQ8 PpX/5uH4GFlT2Yk2AWy//uOIEjn8owOQr7ldI2f337MtG/7TTYZ1+sHrEV5wIgh+5/Su52K/ YWMY8yxrvrMQcELzX2hy/Db7wbXIrP7O3IBRfmwo9F7eAfGK0XOVR8k9/jnOAphm9b2zL0/c D2+X/8NKP7bK76+wEtmM3g908oPHBPLfb/GojWGvi7loemDRtvjOnPqcL0IyrD65+Y7+NxuH JvpjI35stRPfGbD3Sz96qFh94e4nWNbMJ7PHxrPZjyuU1TPJKMc7ZH1HlQpwMY8WR5aDOz3C oqo5t+0Z2ncnAS5v+sAc/aY/Xnby62nSulQOXyXET85TGpgGn0MGXHShk8hAvoUfu6fMAPKY 6djQSFPNZLEBFfPnO37+ZF0sD3TvR/mOnH4enjDN4dPxf0QOVQj+Ua5no49b7WS12+mXIar5 nx9KHgpMxYyg3Oo9j857xI0MCRxd4x/i8W8Ap1QPYBlCjm88fSsD7IVhg1oxdgtTBMwc4iqF b5swhtKEmgQk1RzAc9TeA5p1dOSH9iQ8hyTTTFM6ltE57mrZc0wzTt8+QEFaz9EZ6hV7B+/J Rpyn64J9PGRcKaGXZkro5wlPeDhJn+FGFPpjK0nzkAgXnVym8/c0IOADU9CzUGcCouumO85x 1WH2FFA+vDnp3s2MLSr+e8KQxTTssIpvnuSCAW3GWwYcffSe6W8dZz4Bw7YUNSsVLMLIptzN DJzD3vGF8Fj47rtcRvorpONyWn9W3ACgRcf7+nwrVFZC8klZK8sO5S5yidiwyDKVP837y36o DtlOjlwyhXzvJs6ZZur/LMP66vrP5JZy6Dz7J84agjzjevBXly9XnV7+lkW1fyL0tTZfXMUs OsPaWuhaZvnsWvw/Y8+23DaO7K+o9uHUTNVmI1GWLZ2qeSBBUkLEWwhKovPC0iTKxrV27LKd neR8/ekGeAHABj0PGY+6GyDu6G70ZUE/v7pKOEzYJf1bLZj6sj516uNq6oYnKUdQI+AdKNbG r1K9NPxsWMKpzYMo2DTakYWQtMh9ExKU3vX6yq5UQWHOnCcUykPDlOGvzmxFr0vCj0tqaPXi 7elq/W74NoVFg35ndugz6Bkef4uP5OCFcM2RbFGSGAYP8JN6reJFbbIqdeuUQg6zn2h6FHyF 8osiiUwwL8KwsH42UcZ8gwOtvRXVZr8IhqLFLrf5xiiKcChWV+RYqJW3IxVHIdPcPsIMoyeI HGN6GipfWA++9HckasiLKDuKE1cWY8P8KIGFXtqdwtXxZpYWiSl0SEizNa3rJAwvV9rfaSd0 1SYOgWwjTI/9SpMs4QIQSiNOamZRzcWEYUYipF14G6/Ld+hnW7xU4ZecfqnXaJRW0aHea8oa 7QpuGzMmUPDReF7BcD8f+DjQXvvQOXu9vJgBBmXb9hUGAbCe/sIyByYpz7hlXqU9M6elT7+l M9OGDH4i30YTNgFLh4lCwPbU3WzwaxZe/nv3+TILbVsApDwSHxIJlqI/ZU0+gpifMJQTMS4X uY6QKIlCbUHKNpbMN4ZM1tW4P83Yzc3crEOC0KbB7L4Cj+NFIY7HHP/GoVkkbZjOHMlh+OCb lrkaUH7THrYWNemviYRRKmwDDgNfRP5+kmB/9DFgymQdSW3j9abmcRuTol8kAmMYYDior+fP F2uRpKzwVotaJz+IwEmO/QO8OZqRCBHoWQtVURpD3PZuVIMcFkVtdHWN94Vsj2MslNunsr2n T1NehvT5E5DGiyBD1aUeu6WDjANclfWejFsAJfZMW5onjjGwdU0Ri7d4Iy20IziRAOl0jG+/ Y1rsZJTk6NNx8kuMIW48qGtkinsrSJ+MgUqxIlQN6i73E7T/DykjqZ6SwdhSNsE9wSmqacEh 4YGkoO43n1mD00GkVWmpzU2PKBm654iq1O0FKGyzMxpKkhx31MrQSXu/oMlvdn4T/3i4+/7y +ny5b769/mNEmEZiR5Q3D9UePMwbUY/o/FcsbtAsLe0YpzooKr/TstUqDON8WMqojHwwfra1 ytjwQ4SWMt7zRLOeUL+tbrVAnhWHagRVAYLQ50YXBxRuW5A3K97Mm8K+qzeFdPVysBgtxYSX k89jahNEBT5O6AdcC0FnQhDmrVhdPRYDIbh4ySym9ZrJSRmLUDwqBqW2nb/Qrf5oWgRgJgn5 aRuhovm0vFF3D4z4iiHa/t3nFjzLnywzv4OKhme7Rhtg9BzaaaFIoT1VWuhLuoMAf3UwXwlg ZWahnzjdqeVnYl6m0m5aRhceqo1PMtCM3rCelGdtIJ0Bh26ffk+hNbivR4U26zvbt5IkaGI/ SQLaVgKtVk9SNNIMDDVhTV5xJT86dI/9HVg6rkBxK7ToDCSJFm2Auk0JKrSutaLCw441HLrU 74br0Z1bmNBtVHtYyrUDQwHTVI+/2dWohyhBo0aZyCPEiM+xNRcgREbjKNVaUeXx2C76r+cf 98rI9u7fPx5/vMwelGH2+flynr3c/d/lfzV2CL+L0WoxfioGLNjiQTkcGx1aoN9acFuRI2pQ aRX9clXEact6k8ivHZ8aDEnXg534F7nXDeNO+JO5gr2lVaifsPBThUoh24VYmBkZQAAD+FBj gDRaoKFK2NXn8WRZv7zpy8lOHF7gcEqVbYyMhlo9n7+/KKPkWXL+ZUhKWEOQ7GHRaxpqBUSX Zaspyuu6pC6fuNKuu0z90u2C4EajhDyeGQXLODRrEgLz/mhViRQJHGORo3mv0Y0+bBLsDyXI d8u99NP3ZZ6+j+/PL99mn7/dPY1tyuXcxNys8kMURkztfQMOx0NDgKE8akdkeGczLleLzPI2 Yqgx1IgJ4BSHnTNK4TEiTP4u4TbK06gqKeMkJMHTJfCzPbA2YbVrFmZjLaw3ib2yO2ThHSFk iEbQ1pEEJWlb3vWcL8Yjzz1q1DmtKevR7pbnjif7vii6wFgygb1SUuBoRicMYuD29ycKHiqe 2MVgiTtKwMK3if1AWJHvlG/O+ekJbeDbvYGeDmqznD9jaCr92JRNUZE4cWpQK+s6tNBnFi/L BwI4st/XcZ2P7toMi6GTJFH2B4nApSJXyh+e2eiOIKc4XTk2aXhzXRODxtkOwc5Zj0TgTeHZ fj2/mqxBsMBr4oQ21UQCYHdfL/d2w5Krq/m2dtaqnLGOGKmU5ojksID8YS0hOd3icv/1HXIJ Z2mGCaTtJaodoGZFKVut6CcXRKOOdKqHQlTeKjHXikigZXani517xcM/VWKAwe+myiv0/EYx Tw9s0WKjUsZzROzCWxN3oYedH72E3b38513+/R3DbeJSUcqO52y71N4tpbEfyNRN+sfiagyt hjgjcuIxcnLEmD0KHRyuSuqNqCNxFgsYHRNUDns6lRelryaMMF62U43X09mC7JgilxsXjStR nJnoTsPDEeck4cCx5869IxvLxT7P2I4XZPkBrW73Kc+AqUKhDJ85n/5CEFQyGuFk3bBqrsim Mj+eLIn/EdzcBArTa5Spandc8NXcfStKorSiZDt5K2YRtd5acBe6YarbHWkrgLlqmrp+Oxqv xgnZUsdaUsAczf5H/fVmBUs7+cdxrKkCzq2C3skuEaI5BBZXCYDmlMiAvmKHkWCs40gSBFHQ Glp41kJCLMZvTMlkbx3FNjlEZhDEvuaEduMP9chyeaz/P7q2VWbQfQDCQV612dUGoIpTQ6La KPEGrNssBMx03QW4IQyjqGThpQOrRYMynP671UUZMIzEME4YqsWNUBHRzcSvHUAb4BbUFLRq q0NvHaETO7xfr9c3GypWW0cBF5RmBWZ4yUkXuVb5KdWkvRV88fz4+vj58V7PlJEVZkyNNlru CNBkhyTBH9oN1mJi0yuohaJztBB4VPBi6dU0dyLj7hYfG8Zhsl1vF22Foc8213RUmo7kkEY0 b9URsPw0daV1ZAmIlpR9TteSMjC6jL+bNgJu9kEF65kongXkgIk97ajc4+v1RKXI7ozmDLka FTpxSAis40acEAuBO8VnYBYe9ViVOrjVPGGE8kGHYhCcXBG3MHUJbrUm0lMNK4U1vbZ25FDB eE8OVSkm1pucgmPq8JQCRGugOBaO7l4+UwokkKREXgo0bV0mx7lHvpOFK29VN2GhpwTRgKbi UEeg9nAwKTmk6a3ttc+DtPEFvfCLnZ9VDoFDbNHbn9FXfcXjVKpoKTUOE5ulJ67m2rtVlLEk FxhLGON3oU5VPxd3RcMTMtBMEYrNeu75iW6zKRJvM59roeYVxJtrqqJ20CvArFZzQ3PeooLd 4mZNHxg6yQ0VzqojkO3bzA0n713KrpcrOsJtKBbXaxpVcTzCblYLGh2kxXy9wnUwhRZkiP6D CFqjliYW/uZqrb324zUM0wHMfrFs45EYGjaLOdLuIvoNhnmjF1AJgbUJVfll4y3M2GEqhEJU oNz78uPp6fH5Vd89CgNHg0cvxAFPGUS12Dbu3MOoWOrX1+ubiZKbJauviYKbZV1f0cooFtws 5qO9oZKPXn6eX2Ycn0B/PMgEVS/fzs8gNr+iVha7PrsHMXr2BY6Suyf8Xz3XZSMMZkI/V+x1 Ib/mo2X8eRYXW3/29e754S/41OzL41/f7x/PncOkPtQ+mu/5qFUp6HxpXeA5WpDrsY3j8BwI qpqmOKonqGNKxP3g318v9zPgDqWiXonQhk2pql1mmR97CwjGY0dBRJFljnDL00UAQ5YY2rjD CCV9QQvJzs9fLKRsn5P+8amP/S5ez6+XWToEUPuN5SL93X6exLaP2w0y0+kjPfQR2znszupE ZrJwIv340D7JYUANYiupRCy6IQf+aB8oivvL+eUC5JdZ+PhZ7gr5OPH+7ssF//3r9eer1DN+ u9w/vb/7/vVx9vh9BhUoQUyP+RJGTQ2cR2MajSBY2WwJEwjcRsEp9gGRwjLV08ptDelVQRqX Zd+AJk9m7ZMsHLM3EoxCcZBjipuyNBLEa1RQvWkvP6BkcD26JzIZF1zxZoZvGXGuzFlDpGPB cUeFLwC6w/r9nz/+/fXupz0Tg3huM/6DdsHmvtPw+mpOdUNhgInYjZQtVJdBahm1HNVPWutf qLumq6Jt++Rn8AXn2qP1mD2f+Qkt5SZJ/IhdT0k/kibhi1W9nKZJw5urt+qpOK9prYgx0NO1 VCWPk2iaZldUy2v6duxIPsiY39NyVgHtnZ7rar24cfBLA4m3mB47SfKGQCDWN1eL1XRrQ+bN YS4x49HfI8yi0yShOJ729FtyT8F5CiL8GzRitXpjCETCNvPojSmryhS47EmSI/fXHqvfWIgV W1+z+Xx688BmDVN/tI8FE7x7YRi2cH+VC47Hv2Yl4XM8fatSkx+EMtHWy4R6dl8JGYURUXV/ 1OK6axyE4M4jUza4banK3PIbsHf/+efs9fx0+eeMhe+An/ydOoYEJSmyXamQBi/YQXMhSK+j rsaS1CyUcMVkIZ3Orvuc5m3Uw/TQr3IMeinP4FMRw/DRAjNBUsIUEiT5dmt4GUuoQMNWX9xm rFNSyeGsOnbZFLRlCYzaiPPt+lDMqPUAIiT+l8IIjN8p4b9G8IQH8Ge0FlQRioHo0bscHV31 cAMKVRbkx5L8pKwK9YtaYioy3ILCSVsTmVR5PCH1NlgqMloE7oiu3iIKstr7OzQ1DH3uOKoi z11Bt0yXpwYOllpuafeXdoWgOTGJhTo2rtOpI4DZceN9Z8BAhfbZdPN8zm4mG4AEmzcINq6b Xp1Rx8kepMdDOjFTYYHKJloUUN/HFy/hiDSuKEqWCvotRJ0S0D7P8VYCgro8suFq3EaOh8WO Rkn10zTTQwFsylsEnkWgow+x2LFwtLUU2Png2dE04YnB7nX4Lxg1jVjmUR3Ek127HSqe0zyf 2pgHASevg9dtxfHiaO/NFg+nX6xx+PJnbpz9zh2PiCbOHB9WR+EkNkzr5WKzmNhqkUsmU9fA QWY2U2Fb3WTbsKIfwLtLY2KOeTGxtDDnguO9u8P7rgD8angqBxOusLfpasnWcFzS7HHbwIld +lGuC3xJmmjEx8RvHHbaPf6NqyEppioI2XKz+jlx1mA3Nze0blBSnMKbxWZipKYSviFbl75x ohfp2sXKqh0W20OkY9XjxoiBYLsoETx37x/V9ImlmYtQrTFX1PPK8OzCp5dM8WihdcNpFIYm QnuPAJT5TIjqExiZovel6mP1vsz+unv9BpV/fyfiePb9/Hr338vgY2Xwc7LenWuLdVjSE61r GeJZdNQdmRH0MS+58Ugia4PxYgsQxye+J1MJTbdJ8MShq5bYmI4LltJLrIsjZ2mTh3P0IKzX RKWniaJotlhurma/xXfPlxP8+53SeMS8jNAni667RaJRKmkkit41VY7JNKT6z8xq6zMMBpzm BxEFFX3CqhCHDgP77Gik6sm6xIZ0TZgJMcrgD11TUypHtlax+vTj1SlDdh44mmIZANJbh+Kz JTKOMd2FdGx7MDHohIvv5RZY5braG1aPCpP6VcnrvXIe6E247zFNBuWI2BbCUTae5U14A0zx oXZiBSujKGvqPxZz72qa5vaPm+u1SfIhv1U9tEYsOtJe0h02GLKCqBlxWcepAvvoNshh9w29 6CDAkharlf76Z2LWa71xFm5DtHAgqfbmY3yP+Vgt5uTLoEbhLa7nZOFkvw+oI7YnQFM4ss2I kGuKtDjrySrmX18tromhAsz6arEmm6WWHrm/hqan66VHxWgwKJZLYi5Sv75ZrjYUhgmyt2lR LjzKL7KnADEB85aMq8RgA3hoCmIMulS0bTJE8tOiyk/+yaeOvYHmkOHyGH9cVGkRkUOMFoz0 3dCT1NUbi4OVuWgiRjab+cViUVMuL9p21oyp8SccDpq7cg9q/EQPjz7Ag9uQAiO7CH+LgkKK 28wvzOjiA5LdjrKJ95XyOAryfE/hZLhdmSqRwkaJn1WRrqHSWhPhW6GZ0ESrNz+w3Z7MJDIQ xZhI1FX/Me3G2apeRCX36WRLiFbRQPDz46IBS1cWn2vg2a1f+HZjcBCk6cgDDW/NSqxP9ViR 0qkrFNlR1HXt+3bd7dll9rubfqoxA9Lwke8vF4xPaASt7GCNn/l0pKSBYmmI5wM8pBm4noDl QUnp73qCbezRjdqWnJa3DYqGzD42kBwwF2iaa8G8epz0SfeZtup7lOAhcGxZaOZ17dFVGlKC yFAzcNEsInulUHb8AQeVt/TISk5+WXKHj0FPhO8ZSUKGxxj6WfgsysuA/IpEBn5C7bOBCAND uIbpxEP4Md3MT7so2x0ml0gYbIjp2/ppxPQ7a/juAaSrbenHNb1mxWpORgnoKZATM1Jy9Ji6 8ENysBDRxJSri0nSOqtbLJ6MZueI0acI8DBTrOMElSPFSJnyKyn5aC6BCFJnSF+HhNGGTxLl ha2pjPYqhPB4sRhBPBuynHc86u78/EVa0PD3+ax7e+jkPjjXNddcwjrYopA/G76eX3k2EP5r 2hErMKvWHrtZzG04CBKKCRmEUAVneBtTageJTniA175VGcZM/GXX1JoFWbXZnxMeBg52fg+G pCE+6BeBwX0c1Dj1v3GzmKPRQZpMAPdOwBPD2bAHgyy6mO9pPU1PFKdrU5WjZOVv5+fzZ4wy Olh3tiWrSjMKPxpZa2DFJW0ODJURR+iUHcEA253GMKAbwJiQJzSeyDCdzGbdFNWtsTfblIcI ds6Yn7jUPYNMnX/KUzIpSbMVhmwufcrh8skop4Ge21Zj1RcC4dAyxx4Qe5WcunUwe74734/d cdteSG8CpudVaBFrbzUngfAB4DeZX0Xh2A9Xp1Nm8/awSVSMlzDVW51oNJ1G5bprgo7IyuYg PbivKGx5yDCQck9Cti6qqwiYAIfSUu+GoC5JY6xGB0LfkspbrylJQydKeegqn+a1Qz2viNBd g1DsqShlj9/fYSUAkYtDvq0T6q22KpA8lwsyLa1BUI8mBEc54dV4CjuEc47bnF1joFbCbuYH h5F2ixaMZQ7znZ5icc3FDSn/tSTtYf6h8rfYB6IVFkXX3jerbKtz4nCQZQ7q0cLWiQL/EMr0 VIvFyjPSA49p32wZj+vr+npOdLLmCc9quJFkTRN9Kxk1RCX7G8MCRLCXVZcXozrKwnU5AxL2 ZZMUckQfRmsoi2oQbZuQbznLEzPvqZPo7famrCpVNCG9wqKU4ga56orCUvAND4fKZYP45sD5 FSkH7igLEzJkKFx7bZbshxFIZTPlOV4SBFYaAlMIPzX4pAFx5PRJpFO4gyYdaT/jcrm5NlgR lO5hMkif5JN/NE4EYMSmwtzsCgfXDQO6VenU5RjRTwoM/pHpk2HcWBvpY7iLTfYLNk5yGxwM pVkHs1zmlWbXY4SK3bOzEqO2oUuXqqkAACr1WjyLjVWJCBUYgF5biMacsbT+GbAqmZty2/lx /3r3dH/5CfwdtlY6alNNhh0dKAUs1J1g3g5NMGkrtbQfHbRg/mZ1tXAhfo4RMBQmsA2dhKGG zAGSShqTFvMGBnqmkA4In+tV7tDVXqRBK/ehy6297AxqBrg716Yx3tJIdUlbSPb4a9oKscc7 jFwlPg1vVrR9YoteLxY0ey8VXWvHG61ECoeXu0Km7lWGFqq0PhexmVSH0GKTnDq0zNy4xwzw 10v69b1Fb65pfT2iXadaiyvMyD3KYwRtxR0TLFhKOGXg9v718np5mP2J4ZPauCC/PcCiuf81 uzz8efny5fJl9r6legeMG1pg/27uLIanh331ICKMBN9mygqFNJNBoragBtlHaZGE5qbIrecA OX3M1+OnmlNb+xPfFDytImaXUWzFaJSinyA8fgc+FWjeq111/nJ+eiUz12KveY4q2IN+TMom jT2KNTDI9FsyXCPSlHmQV/Hh06cmFzw2R6by8UHhOBqBime3Do2fWkMFmgPgk1x7lOav39Qh 2nZSWxLWfKsnjCGvpLnS6HzEEpVYF2UPbB2znCteuTw739EHEjwn3yChteLC9CYRVN52DWcG oEL9VXp+aVOZdGdtON6K0r5VMsGOev1aGcHC/cT1kO4Ig0sh8A0jWwQeKqguNvMiIIL5IYaM c3xn2Jp2ufDktn1TaIxk56jWvEARkqQ38yZJChMqWWQ95GQHJKYhV2vZ2SLY6i4fjAHtstPD NPXAM8mQIdZ3QR5bwxE+Jzl9wNfoa272QJ0gZlc/3WYf06LZflRd69dL56/fLpzRMoF/NAck RzXPC4zBKAPWmd+rkujaq3XliRGNcKdbz++klfHAoilVqeAax9D7pEnw/R36PQ7HwU5aO/ll 7w9WiDH3VRRmYnWQ20Zbqy/dfoLSB2BBlnAMjbkfMchjmiQEzmDouIahYjsMWDuSTd+0f2PQ 0P9n7NqaG7eR9V/RY1K1OcuLeNE5tQ8QSUmMeRuCutgvKsf2JK61LZc9s5v8+9MN8AKADU0e krH6a9xBoNFodN9/u3zMxa2ugYpfHv5NNL5rzm4Qx2cpmw9Bx99EwPFmdwtfwQLNQ2xhXhff Lgt8XgeLM2w7j8/4ug72IlHa5/9M5WCttS9KyLrSl+ZErDfGfiu4dOuvPid8iG5+FnIBtfis FVlJc3U9+9ljMkEVBgXO6K+7lP5ZXu/f30HiEEXMNh+RDh9KSWeaen5yWVXHVJLLtKElQNlB R9bQTrnVql8zUpN8rWn0Ici5RTIVYHFbncQF+JW+TGrN8b0gH05xQL15FuC4Aulp7uZiTQPT 9Je+u/FS5EqXbyI3jk9Gf+ddHM3KsYniA+i77rwmKIaK0p/+fIdPwVgL5ShKSyBbq1laNeT0 coypKKie2RRxjvNPBm9P1V3O9MgmDqJ5L/OTGziU+k6gXZMnXuyOV1LlJp03e9Zo1TBKUtv8 rq6Y+aGzlRN4sxpJUdpWI+yNKPTMTpoZwPTV52HgxJTfmgmPQ7MXBXnlekYrjmW8Wi3HbQM2 5x/NgCtHRMGw7mKLFCDbWpzz+srkbNPEt70jlL1Sp+yA9/qz+Yu7+Q9qD4uWG1LmH8pcdc0Z nPh+HJuD0+S85uN+i0VfPugvSM+r8XzuxEM6PBdcTaAcD8byj+4wdd1f/vvcKx4I6eXoDoFW 0Catpvt0Ykq5t7Q8TNSZYkoSU1nco6JSnIB+x1Nrzl/u//NkVlqeRLpdRq7zIwOX11smGWvo xFYAo4qmKLJZOFxfq7qSNLQAni2F76rrgA7RKhqVJwqpqxaNQ52UOuCqy4YKxZnF69zItP7i RQ55zdPURxhFjM5QKPe1KnUe0qJJmeSgvrl+U2dpgjGPYIoo2aJALVMqT9wl0zmOmzIOndMc YUkXr5YBmyNmf2l010L35vnwNZ8zY5+dTkR9ekA32BqLgL3Cp6o020PYqfFQdN2hHTutj+5Z NvusOG/ZfksdOIcCYJ1zI2dJFN0jioVBX6ba52OZAwb7cOCEPmXQOrDkvMGMqdRQZgwdcSVx 0cSRF1FpESHFkYHBVIdNhVZsS85KpVruMogi9cXuiMB2vfKpCsGAL92AXmo1nhX1hakcXkAU jUDkByQQQC9SVeLl2l9GV6aDmC7noku8lapdH+He9EBzKdFjbRc4V8e97eBzDMy57Jysi4Jc TuCwpMfJVch2F6cmE/7ZMUtEXZVZtN3ibErlI/IjuMbzghWTpHqjRfTuoTYT743R/Yq1HHbQ TvK7Y0n6whNbKFNCUPQEzevkQENvoWiIhq4pdEXBwDEEqdnW+HA+a87H3OLQhkqxYXkrwyr8 7SQi2oUwRLQ3TkvQ904BR3wR52XWSL0iND42jeoDZEDln/jf1Yb87Qb8rYpn5V7aPym6bOGq SaRMClZqb2AQ4XVyTjsO4jbfGAaAOsMwTV6V6wvg8JdwhkJd9KtmODRpciXLkJzW9so6Ygzj OVfP8yWpS6Ecgz2/bKATmP4CVxUT7LkcMVJyWita2YFiWJGM5Ko+sttajRM0QoP2RDT3eP/t 4Y/Hy+/WlzUYIE0tf1LTiI18hGzHjjHpZNKdVRvPXZeJiqk3xWh2QWU78tzleYvS3JWye8U0 UXx6JIhtFXShG5M1Qgdw/omu0sQizrhUzlm3J7NlyZc9vpw7pvQSLh7R4/MBO0eRl3ihepUh ch3XZOhh1Lg4saiBrpYOXMc5d4nl6fE6OW/yrknosR/5sn1bU9UfPp41COJ90SMJzlKtOmPR VReyqLc/oe84GV9bG51nIQ6WDYVmXQHjyPU2thoDavbVrrneCVI1YsmQJ65n9kGToBch32x1 dTDHowdAaD2ZzEmzn82JociSJ4OKrE+mIH60juZtPOTM2mPH2A+9aGfrMoDjKNqYFQTyqieT H1Oyu5tNSph1WXM6J/71Dq9ykLZnwz+tPGfmuX3eg1Lol9/uP58ep5UQXe9pewHaSSdXS4UM G8If4Z6vbZn3CYFjylq5TYH53dSc52thBSi1MJe354fPBX9+eX64vC3W9w//fn+5f9OfQ5M3 sWuMZWRmt/643D8+XF4Xn+9PD89fnx8WrFwzzcdQQvhWEqYwX7+/PYjoQLMwDkNHb1JjY0LK eH5VnxMhnfuRRek2wB6llWlKsXFK/aVeEuu8OHKoOnQl7NnonSwxonOM4K5IyDcwyCGeWDnq YVikE1I/RTMeM23Up3lzopVbd+Er2i3O14oedCQGnt7ifp827jwVxOYvdmShrU8GOKRPFiNM K4N62HD0qsNFRQbo2eBrUNdHlYTRoJ5seemhcpiP2jYYtSBcwtqA/Ugk3qEHFcbzRNGHIQ0y agrNgLloEuuVDGJWQ6JRbDWroFVTshUN52fTbaONzxpWA9h+ZdXdOYHzGHnbhhymoQzShL7E ccwulGTq2mhEQ9WEWozITBPRU41Lg4kahxR15c9mA9LjpX3+Sd1MdB337LNf4KsfpF9RChyB diHsgkazB9FYbUt2J4wAyTgNkIZSoiMdBU8990GTpUobkoLHD+2ieqDbA65gCVduMwTecZtJ hIRRvWJUGpMYkY0FPQm6IKZ0MQK9icWtg0qSAr1O5FlCbAk8X0bhiQLKwHEJknG7Leg3tzFM Y8+sN0pVtGi+PgXO3AW0mrS/IJObf1c+P3xcnl6eHr599IIA4sIDsHD4QBoCIYt1fZeofa00 NT1I69Cdju8HcDDmCU4ao71F46+WtmGS+kwzScOKkvSfhZd6rhNoSll5P+jSm4YEI+puVNS9 v1s0KyDplsuhkcFz7R96z2D70pVLy3mylUvpShXYM6WUgW4OLMWiyQ09Agu3r12hdMdi6fjz yagyhM7y6mw9Fq4X+cRHVJR+4M/W5i7xg9jickng5ZV1x2abIMQu8+JaIc7FqwGYdVPCl1Hh Lc1qH0s4GtuEEgTd2Z4o7qDtU0fAlgiBEl5aPHz1sO+erkpwPQu/IiogS+BcmU7jPXpPm2JN /zUjnY1AzhOwyU8ZDF5d9CFbZwz4gmIvn6bwfanejU08qHQUOserXIN8YoNCR7twmVA8osQh Nbl0nv4ajsohDXzLgCpMFfxDv9NSmOQh5npdjJPHhCgnFSJveXq4mvV4UUchnj7RDYw+yykz gVWBH5Df8MSkb7ITPefFyncCul0Ahl7kUoavExNuUpFL5S0Qj26ZuKe73mXIEgRUl/VbH4XI pZCC5qKxjsGeYoEM2VnD4nC5skKhQ/erEGUDauUzeCLfXqU4tGYuBPgf5Q7SvOORVe9Pdfru o+NR7NPjiiCI+T+Ysiitk54VdBaPbr4h6k/IXCRXsM3+LnMdy4g0hzh2LMGsDC6Ld0aDi7yz VXiOJVXJ8X6Dap0hlyuAKZ0r0HAqIOrJvbJhzvVRQB7uulTWPCjjKCTHQZHfZxiITIELQ0ul U2RUEvP8kNyFpMxJz5ZBjLXUZZBhacxbWutiiqAGunKvf96j5EhkbwoIZZbmTJjNSAvoSXX4 +vT4fL94uHwQbvVkqoSVIsRMn1gVpwQuPfqcu8PAQss1ghfftmK8VppZY21ZivZ3Y6l6S9LW BrWJvarwo2vRExtlC3DI00zYTk/dJkmHZeGZNAwIbghWEpBCVZlX+OmwSobqU1T3yIMhDflN hn6jqIt0LA99E3rwH1Gf9X7jGTesEx2SaCHUJyQtZfv1WFEd6smJdzi9dTbOjZkyuU1MDy/J WfOK2OKjm6RODfeSRd5SAm3enqtsTKFcG7eoZVDok2YOkXBA6Cx/PSSWpLyubq+n5ay6rckK 4UV+Y8m3BBn4Zp1ez/pUNvOMRX8dRIA1dTlAp/c5fNRl3VkeQLXnrLJCu/wU7FJqDQEwL1V3 RrL2qObRmyS8JeS0CVjeEh41VLTaH2p6guP4ZegywDeHpmszVt4xWhIHhmNerWsMlJtb+jff 1m1T7LeyLSp9D+uUUVzXAZuledD7w3MbW2Xku2JLerngiChuP1wVxXpwhQsWhPEtwuC3lV43 pmVj9O6qrTx8dz5ke7UbMJGwfiTylZouuStgnPAy+SdHvXT/EFJdEsRizVLWdFqpkt5lLIh0 vVG/uufLyKGVDhODS8mh2LFlqx0pkZTydTsvBkTVXPxF7aeyHPiulSf0CtHTC7jJMvWBHpJa hp9oVevUEk5rrpmj6IhwOSuIsShywt2cfQMyumeSpWpn2MXn8ekQj/9cbMp+6V78xLuFuPb8 2RwxwaoIKL1bR3QjXPbPBJWd4P7t4fnl5X4KqLz46dv3N/j3H9Cjb58X/OPZe/jH4uvH5e3b 09vj58+mMMH367Q9iCfxHDbAZLZ9s65jyc6ct/gFC12RtBn6/vh8WTw+PVweReFjpLVP8ajq 9flP5QVbm/KRdYy09vz4dLFQMYd7rQAdf3rTqcn9K0bskx2geJsS4Obl/vMPkyjzeX6Fav9H xoMTAa4GWLTun5Lp4QJc0DS829WYMHDp0wteN1/wvf/TyzuMs8bB5YgsvuN1NyT/vDycH2Rd H4cgc1rPd/tK3ZQUIr6cboqMxrqUxd7KuQJGJyvoAupa0VUcRxZQfEi2lAK0pCw7T78uVrAT xniKbVjgOJZWnpKlFSuT5RLk9OlzvVxePvF5H0yKp5fL++Lt6b/T96JeFqSHdR8cdjN/fbL9 uH//A28diBeTbEtdTR22DL1hKF+WJODqCFvZnmNA4WlbAFCGH83amlo301Y5fsIPEHnxnTDX LrWRnjbwtZ+u+PZAppuS994y9EyRvllPkJbzZo1OrkdbRXIbQb6iZukZhiQdlzVLLbawcaJp hq0mGjY+YusXhEUf71D5DpXk0r1J5KjvOgY6zws3XOrFCVcUp0Z8BatY2zoR7tINvW0i2MKa bgcZrKf2vmJlCnNhNt1Y0ix+kstucmmG5fZnfPf+9fn37x8i/KM2eSGvqt4fMra3lpWvLNHZ xHTa0p4wELN5yUCMswMjnyOIhNusNLvyUB63VzpzW7KAfJ+C4D4tzEnJOC3D9W3aepbbA8RB lmz3/PwFprSV58uJtn1FbF0nO9p9oOw14eDJGF6FocHwwMPMTp8/31/u/1o0sMW8GJNZMA6b wl8Ewkq+r+DAl67kuw+tHpKnAHi7DCJKuJu44P8Mzmt5cj4cTq6zcfxlpT7vnJfJwyxmzFKo PL4VX1zHbV1+IjVXM27uLP3OLTL16ln0dpun28zsr+n+d/3x/Pj7k9F1UlmSn+CPUxSfTnqW +MU3XeUvQ6IB+OWeGw4CIXWmE3M/z1eOZ+SJwR7yNZM3fLgtztYZlh6iQNXQaYCqCxUtaJNm ux+avfkAkWLx2/evX9H1helqc6NsN8PaK1ZihbzGAJYFur1QaVXd5RvN9yQQU9IMDADxhuGQ cTZXCmH+8N8mL4pWEzd7IKmbW6gVmwEiSOO6yDujEoi1ItDlKSv4Oa/O69uOWnCAj99yumQE yJIRsJUMx78s31Zw5gfxgjpXDyXWqhN47Ldsk7Vw4j6rFzhiW032a2aUwmHrR/cE1DKyQWkB jZPI6B84EHBcFi5ttHIwQb9xcqO0Li9EU9G182zX0SbXH4PjK+JxAA6LWDtttW5K+j4BE96u s9aj3yACjN4EX7UEDPZr6H96mRcTh3dWEDrXpR5TIwTzV/8Glqq3Yxyvrc4wBUzQa8jdVNy/ 2CpRwaHKsoXi5M4PViyPlvT2BViRxU4Q0ZKHmDjWV8FYqF0swS7vbm0yjURtEKeNzRCZyQka mlunkk34wH7Navh0c/ruH/Cb25Y2ogDMt0l0WGRdp3VNX+Ii3MGeYG1oB9tUZp+trKX1W+Kj sWaasLbMLapH7D60yrKDPNlvqItbAKVEpUy4NYhgp24ZqLs+0JVngurQCHsFfe3JYNpVdZkZ 30i5js0gzsoy1sKRge+yTF/H2L4+37gr9X5foTok1TW/TSE1WRZvDt+tbgkh+isib4LGtfZc JOl840NiUjDOe92yjhTLjeN4S69zfAMouRf7241+oS+Q7uAHzhfaeygywLK48sgb+QH1PcfM tUtrb0m9vEfwsN16S99jisasIGMrih4Is9AvZwVIIdRSAAiNfrjabNVjWd8LMINvNo5vZrc7 xX5Av28dhoPu9QmfPOOMOStjKcyzrubfqA4PJvJogE7kKm1HyJGbmEQok+sll/Fq6Z6PRZbS 5XAGMjNl7KGUYr4P0KA4Du1Q5FDtpt7njxUervMJrDfnoSAYhNB3GN1GAVIhqBSWJg4CskKm 3YnSdcONN4HpDtaU3A7Qk1HRUD22TkPXibTLxy0cThkpqwotqyGm9dAuLUcPZnDc/7y8gAjW H3Z6/fLs4hi1R8ncZzaQ4S/5gpEneBFrXq8M5wyh9kpMP90aGf4t9mXF/xU7NN7WR/4vLxjX 15aV2Xq/wSdss5wJED7gDsR29KZcslY/ihDcbd3ZtVBw5CN959X7SjkKiZ8YDtz0RK7Rz+gI v2C55vqRV5S7H5kQG6D7+xvymwncuzydDyYQ1dTwc3JP0bVZtbVEWwXGlh1JaL+zROfEzPvl cX4Rhe+i7l9EJYkzACZlS3zgSPSEAJN2fzJbIoh0MBUBN5reeyTl7SwjTjqYFNAeTnmFnss6 K27yatavWVc39tqgMra91TNKdjn8Mol1y1neGkShljaLTBrPJcULAfZRvrR8YFS3ddXik3VF YzDQzrqbAUyQoRLX1ia8BNI8hgtabRDubrJbs+bbrFznljgYAt+QHn0Q2tVFlyn3ffK3rLqa QxfGvtGLUBEZ7Uun3mZm9fbJLEizgh5ZAUM9a9JtO1tEFDjHR9R6wd0xr3asMutYcThPa1H2 kF4khosbQcxSk1DVB2MAsCkicppR4YGOPxr61n5ksQRRRbzdl+sia1jq0RMFebarpaONEBKP IKMXnJhz4hwmYpVZ+rLM8Skf7ER6Q8saXefPJxsGysnFwFvyq+CctdXzAnFcTDIto4ZV6Fag qMmAvYIjq6DilVGxJusY+g40qBgpIElJoqZ9U+mEkkaFMT8akPGkCCTJWwPASH4tKm6NxUPs pkYj2jpJmNFcWL6IzuuVvNZPHk177GCTZahopAQOgXc4l2Dr0fUpAtpXTWFd31thbKl/yBg9 i/GcEoVFhiBSdL/Wt5irtjUrdPua2eXm9wlrCc/MD7nbwSJQmlXrdu2ed9JJmnVxMt7iCmKe Ww2RED/lMG0tGd5lbd03tacOlNmae3ebwp5srlwyGNh5t1/PhkYiCbQJDV/FL2sdMTzmTK5A r3ik4INmHFL40aa8dvTpeYybzclbP5WvCA2g5ouZ1BjiGhWhIEtKBe/UL4oVkU5EX8S1wSgC me0YP+/U71gL0yjYqgoWmSTDcKyK9RlhXID9c3nHCz5N3hLmNr03HDwx5Jyy5RRctxXDx9DC KJKbvVd32/Nxl2NwT2sO+0L4vOZ6EzQTNiQcDQu2gXZO1mwe5kKMOwZKIJ13q70cRifHEf2p FXfCIaOpGCmKoM70FghlQzZ/zagt3mvApD93ndltAu86HD4OciG1mYxsWtwqtUjVkb46JKe9 5zq7pm+cVi66VnPDE0K0aN/z+KFn8igcGxh1KKJvtpYY4zrhu2974prssHpsU5LP5pjZXmvV 9z2nlYEXsXutcm3MwjBYRVTTjj/KfHdk13FUmKGxnumva5zQvdeg5OX+k/DjLz78xBjtPlzQ rLIpJT0j0pVjWPYKdoT/XYh+6eoWFeqPT+9oyIIWRzzh+eK3798W6+LmLOKRp4vX+78GA6X7 l8/L4renxdvT0+PT4/8t0N+1mtPu6eV98fXysXhF4/Tnt68XvSE9n7FMSqJpm61CeBgzZAst JevYhlFuO1SuDWzwuEmSJeQ89UzLxAGDv1VZR4V4mrbOis4SsSAwx2hAf92XDd/VtJJfZWQF 26eUUKIy1VVmHHFU9Ia1JbN13mA/CH2Y/KgL4Zh/3q9DGfJP/wgZvUvnr/e/P7/9rtjT6StH msTkNZ4AUd6fD3ve2F/ZimTis0tJw3Wxtx1VBxQDRWxY+kAK8q7mk6Obl/tvMLtfF9uX78Nj 8cHYVp/oIqncUfTd95hQB3exZe1yDCTA9KoNVPTIRwOzfWtE+qobq3ykamsV4nx5HgHIB/a1 ye8NDqyIBUjodMRk4Dzy6EvH/2fsWZbbxpX9FdVZzSxSI5GiHotZQCQlMeIrBCnL2ag8jsZR TWT72HLV5H79RQMg2QAbytnEUXcTbzQajX7I1TRIz92VaooxjuLjLJm5RlHgvJk96ixq6oZ6 5FCt2XOcBUqeCEkRjAdrPI03Re2ISinxtlzRbq3wfh7OfLtV4f0ggrF5JEeDy7CBX9dRIpOI O5ojtV6RmMSU3VscKuHiz34z5AktAnSkzorJOOXylKmYEE/3yaqSjs3GWCSFTkttjyocjk5J CCJiytNznRzqportjxMOl+K1Q2UpCO7FR66Zj7/KYTxY9uJbLgRf8R8/wA9tsuPiJnoUoykN Vu29FW5ZwS2dVwPHqatprB6678AeKL//fD8/PvwYpQ8/qdRFUgDYoinNi1IJrGGc7M1GqRDh Ruaymm33xbHBzhYdSG311X17SxjyA388sedgw6JN7JpCsQKPUs3Sl3RnCvx3UoaiR+lOCWAk MstIV/s4U4nsLzakky9QFgt+PT/+Q4Teaj9pcs7WIH6Alzwye+dlVRxXOodf3yKuYINZxZW5 ry99OW31dbLORKl091uiz/KYzI/+whEKoiWsgiUZdqHDKyHLXBpw1TSVSPBLvZcajmId9LgW /24HYyAIhgMtvxo+BkrwKsxmvrcYVCLhARUnRKLlY+zYKqsLoGEBZziQtQSqXBLeoFYNd6VU kTR2ZhFVC0RzoSOqd3jSKVxjg0A6ZWfGzbnDeRMK6BOtCALyzNTYRTAelqQjzVjAxcwe3TCN 9+Cxk6QWQg5acCCGeObbUP0UfhkAzUDnGhxOvCkfL2hbZFXLHWmhACgi9IZaWZGnnOPNknRQ MT71SElVjUvtB0vfan3/bG4WqF3p3W2vQwbey67K6jQMlhMzLEW3zIN/XZ/1gbHMZibcn6xT 3zt0uTr7vSovc3/9OD//89vkd3k6VZuVxItKPiAfBfXGN/qt12X+bu32FRyimTXyXZikrvr6 7fz0NOQVcJRsbB9VhLiRj9UgE/cl+/JFkQnpaeesKqvpW79BtI1ZVa9iRwZVg7TT8f+qVWHZ WOPXYkyjA7MrWu8n2Ygc5vPrFXJbvY+uaqz7Kc1P17/PPyBJ3qN0Fhj9BlNyfXh7Ol1/xyeV OfRC+uOJy27N7IH0T/9VP0uWJ0Z0LBaGMUTgTNLEYT+YiH/zZMXIt/VY8A0hdRWg2ORh1SD1 qkQRPugAJ0qq6tDMigcAsa2ns8VkMcQMTksAbsO6EOue7AbgBa4utq7aDWFGAEbn1ogdu3hC cMW8XtvJvjq4EGNCu10SQbv9yIqrfSv8dipzqJ+4q7Xk7QF/o0QVbOhgNlF6Ha5WwdeY+xTm QH4RcWmQ93PYDsDMqdw+iGA2x76bGr69zxbBzKfKdOaXaAkg8vXSvEsilIzocuNrO/pHC+ZB 6M+Ng7FFJTydeONbLVIUHtFPhQnIwTsAxrlYgUIm23IYtRo0rnimBtGMDGWDKRbEosimk3ox HvZMwe2AyC129cX3qCfGbr23kT8G5RIBPTSGC4lzOWbDJq4zf+KPqamrxIImI9khgmBB1AUf egFVZJz5Y48SJLpPIWwNubJ5MLyeQgQ0c7MT44zlIAM+dWxWYiVKeEDDp0T5Ej6nRgAwdFge vEEnM3JClnM6Uk437lPHfMwgih29bacLqirFJsjoMf2a9yYetebDcr4MLO4OrkB5dLRSmYKj 9JBhD0bM98wbkNmE28tJTOcy9AYa05s1hlnBybXhGdG5erjh+oThATE+wNUXwXHNsiS9d5wL swUZSA0TLB2fzj3HNQTTTP8HmoW7DaoHcFrD5cUeK4WVZzyFbptATqlMXHbzTBxcwToGUe8m 85rdPPymi9oMFoox/q0xB4JgSax2ns28KcEyVl+mZmizdkmWQWia9LcYWKu3OAOyRB58q5IF Dxjky/MnIZ3/gkd2gbftAc33AylRfiBDnw3qgguXihhwuz5kclFbZqVRxrQdwaB0gVo1a2RF oD/h9znkrsCWuKw59GrmXnlHKkrA3+NIRDoBP9eWaezPb1eI5TCUKLU/rCsYt0avIE0OHaZJ ESR5ibO6aKhMVftzUBqAW3/Ho2u0ZGTh95e/r6Ptz9fT26f96Onj9H6lXP2392Vc0R4ZvGYb y6lOYw6LGQonMww8xMK42ka0tR6YuR5TVlrRMtslEKcpZABLCqQjlkD1ibFcFG2xWLg8ooGg WtUOr7Dmc1LzhmjLgEQmmqIuwsDEi2O13iWpkdB+W8rbIe1oDRlGkipOY+7QpfLkVqPKzqP5 BpEMUXUDDy9yJYtukYDCZAc0dlD6tgq5iflxG7HSMEFTGqosztOCfgmRS+DmEECVx7uM3ldg qlaz6mbbtcvyqtaTc5Nqy8obzQizkvbHU/2U1sV7l55B0exda1ChE0f1OhtVFrpfmMG7rarp 7nVO9DeWgayhYLu6YsntUr44QnTLd73jJmtofb+qoXLENNDKTLBZFJA8Dh257/ZS+fKLQUoc 88Sbag3hhYXA4h9XTe0IKabKafKkhpIwO2tdBcGAjPiyQ5dJiYyrw21VZHHHJ9H5ojAFJ3ha hyrByIGe8zaDiDsgSkuRlki72gLFMNRmjklAQNw5eB0j1X7qgG/dp/nr+Vkmre+PRHWiSCB/ +XijEsiE6S7ei6FdeFgqlj+POsV9T7lKo46yX2kyl0uZ0GtEjL/Utor9+guCrG5oR7aOonaE z4gzTcBrxyug2EWrglItJUWWNUinp2LwnJ5Pb+fHkUSOyoenk9SBIiOOvvNZpMoYzEt1urxc TxDBihC6ZOg/rVfrjvVYWn8JxqERqpjXy/uTPaW8CEe/8Z/v19NlVDyPwu/n19/79EKRSdzl H+IvpAJOsJFDcuQVo55CIEtKjSxeSilYrKv4S9tA/XO0eREFP7/gbmqUSoco3WOPRS56KO6c WIroiYTMA3sS7AP6Kg0CMKzgbO9AdzHLHV8zzpN9bLd8YBvad1IdIUgDfACG2OrG43+vkCBq kNCvX5iSXKYc/Ew7xLUUMu1uPygabL8VanAbrtpdHtha+jhAdg9vc86aiKqGiNJsAOdZEIw9 og2t3YDrNbmo7qnthgNVJCCFS2c7CnYMVyZ4t07WEmmC9TsA8EiiLPXfNZJa0TcDUhnmnsMy 7Eg8dKRBRL/Wppo+9BSF/pbuP2qwWlxt7LvHx9OP09vL5WQnYF9lbOKILC1QHnk7XYn7YzBW 0m7fdwy1kkljjJGkAV0MFdaPzMHkdYtgh4Q7cKBquoUXVdr43YFH6Gq/O4Sfd5MxTqyeZWw+ DZBSSwN00ikLaKaeEMAZfqMWgIURlloAlkEwsSLiaqgNwI2SQeNwow7hzMOt5PVu4U88E7Bi wbhbCs8PP16eZCy589P5+vADXtgEbzFDczJIqLPJGNynasOlmUVzb0Y9GABiaWg5JIRSzgjE dI6iX4vf8+XEqmVOhpIXCIjvhz9dYpUk/F4izYbOOa4yI3WrbjH1A/P6wrzDAaioF0H5wGIn VwI+aSm2DZzvSpkWlr7nCF8KuCkZqClnjQybjxrQ56RN6Hb3BHur7ZD/JwrHiwn1WYv0veEn E2/Bx6StiMRzsYWCwVd8MSPfp/osRCoFkQbv17PJ2AJ1ybH0LKiVfHn9IWQSi6GxaOGb61Nh v58u0qRNR7hES71OmWDLW82IEN9mX6yA2V8Xcmkp0fj8rdV9CWYzCl8uFxnMbsjZFP83zWcs dHsgGPwr4919G4Ux5bxs6+3qNM8IXurvtg1lTa1ZIy76pwPHsT2yhdPe5jqMmeIkVwiEKtmL wVPQ3ATjGaXqhXQrZvQygCyow0cgpp7FZoLplOZIAoFycojfwdIDMweOdYcKagF8CzCeGr9n 3rTSTB+3w3pKxag5mSgFEDO7N/MZba0FqCUdIUewPX/sYDgzz/dJszt2CCY44Kn4vfBwqrSw nM49JOgBYOl59l6NWHejgK3w7eNy+dmHi9VBuU7//Tg9P/4c8Z/P1++n9/P/gZVOFPE/yjQ1 b5PyhvRwfXn7Izq/X9/Of33YcSJZtLSeedVTz/eH99OnVJRx+jZKX15eR7+Jwn8f/d1V/o4q x4fdWpwHY3s1P/18e3l/fHk9jd47noGakPDJzJWUQ2EnPr2AFc44/wDk2TvgUPGpI7PmKttM ZlTpiLFs7quCEqgUnJSXJMotTkk0lqZ6xlNvfMs4TXHJ08OP63fEdFvo23VUPVxPo+zl+Xw1 +fE6nk7NEDoKRDEOuIuMVXYVVfLH5fztfP1JTlnm+RNqE0bbemLswa046caOM3pbNx71IsuT +Ri/F8Nvr1tTiVjSV7BRu5we3j/eVADnD9F1YxnCKphiHyANWuDoNlkywbKl+q1PCLQ+JNSV L2yXHWZUJ5J8f8zKZjaGRGLmW4SBInOMYYrByQE9Mc2SMLS/Xinzu/PT9ys5haCcZalDcxt9 Fmvfd+StYqnggmPK4ouVEV/6OFSYhCyNmELbyTzAoy5+YyuPMPO9CX6IB4CPOKX4baQVEr9n s8CQeTelx0qxZth4TPlwJzwV8rVpZIHvT45RQSRlRaqpPnM28Sbm22xZCTGPXOb6+B8mBEzr KiBtFcQenepQ1x1xUdZixOmZKkVzvLGN7q8zvo8tG+qQ+9MJOp0lYI5vQLrJtRjAYIbmQACm AbacaXgwWXiGB+Y+zNPp2PHYtI+zdDaeD9le9vD0fLqq6zZax+3y2i2Wc3RnY7vxcontCfSF OWObHG/8DmgnPsYoRyZQtvFVWsPhsoDP4rrI4jqujPMiy0I/8KbjgQwoK1JnAInqTxAS3Z8g OBhR+7SUhYG4nrnznVp0Vn81t338cX52DT+WvfMwTXKi64hGqWS6UE3tSdOaB48+jd6vD8/f hNgrs7ij/koP2aopa1q+V+YSvbrIED5eX67iiDgTGhtxy1q4RD0hwU0XlOoOJLeJb8l2au33 l7UyHVt5MZVYBbkEPt5Ow5FcZeJybZxN8Nu8UmiYcSAYPMkMFVRij6esTCeTwP5taWAUzFTA lKmvPkQPrMGMzPwGCN+w29JLVbaMfkMMpo4J2JbeeDYMQiXPs2dwQh3yAu4vpS5CD/XLv+eL Q35JkwheQCG9zt7xmHFYBoQQVp8uryBRm3PYD016WI5nE0q8qrMSgs/3vFWsWdOSRUI82gw9 r+mAwPssdjyrGenpxA/bbBhA+k0LNwLAa54e1zXtywj4mznUe4Jbrv5AJV1HHKZUssEynzNx eldfwCsWMX0IEw/xLdjhmFd/TtD6K1m4cwyQWJNxjTKSoalJtA+DosHDs86GS7Lc3o/4x1/v 8p2nX446jJr27ut7tr0/lgd29BZ5Jr0TqbnDNA1f4ZiEYXbcQYZeAMuyL2bZkFJJyCD0KSvf ZUJHeqfM9BhXfTu9gcXfw/PjaXRR94thPJWKGcdPvW3yCJRM6fAVlD1/e3s5fzME0TyqioQy 8RfSbL6Pkgwt5DaSQZmZiQTyCFCUtk8GYU1QEUBaowgAqxo9HEHZEUNKz3wPNSEVsFGt+KmC HtI8RGB50VQ6N29BBvdERJ17CTrc5LN6bcT9amGOTPIdelNvhwWJ+ihoxhsCWtYJATW8Fdbl hplZKIY+9EDTlwO/jtmmklZ3LU6VdX67yCfywUtfHBmSpPh5LMjoTF2QezFrkBIPTaw0ZkK+ NlEYrZhx846yhFyHAm5zTwkKGbzUCV6Ux8dccIt4nRzXTAXVNO57EIjjmKzW4PlMOrOs747h eqMrwewGwVuzNXKpbYpik8ZkfhU9tD/EgSU5FH74DUXr4+NdAdpg6Y7T91BUmBTGEMaH2juu ja2uQccDq2vqHU3g/eEnABKsiEMWhpA2m2mpeBw2leUf1JNMh2VPnWVbNG3Jg+/jPKzuS2co UUkjtwB1/1tF6LYEv+xAKKLmbCWHHZmMxgmPK4ExJ78DC2LyUbojkLbESb4uyDLV7Bh3UoS8 NVaYDo1X271Biz//orzPznKsUZKEcEkAZ2a0KA9tlej3l6aomUnStcEE4+hdh2GlmzXX61sD ilBDLjbkWHih4fjeIVA69rSxQ7wNyaGTlHCiCGQDBYvhu7TY2O1SSNzeVa0X0QBCjUiHk8tL sveNvSE6mqrJISunQEt/MarJitYaUwVkXIyK4ayTJ6kaAYoZeoOFJUEwVje/GC70FnFrUbY0 FEOQODU+a/oC0379C64hyeTrFAvJ4POyGOnTmeSf41Bej3FDwE+aDJZPzm18ADspvBJaiApq cDQzlCTi6ABwkqOpA/Mf8Ku+d+CNTmNwlzqmPWVsQKIAcq8YnWQKQT3A6k3eP9kC4JjHtQzj IdUDa+Yw95ABtvQX4nTME0cES0Xh4u0KW1cxesb8ss7q495QPSoQ9UgkCwhrNE0tBN40S2Zs EEjQuOZTx3pvIM4v4kthww1XgGIfVym7t75WUvfD43cjRRC3TiMNUKxpCN4KnlxsKpaZy1Mh B2M3oChWsLqPjliDkgaWm7H7e6hzchAJbqDqcfSpKrI/on0kxaCBFJTwYjmbjS1Z4nORJqTR +ldBb5I20Zoa6ajgf6xZ/UdeW/UiTYqgcXGW/XrA7pA6YG1/p65r76ePby+jv6luSiHBbLgE 7WzraIyEezBesRJYQvSwrBCnAX7jlyghDKdRFSN+sIurHDMiS5AWd/zBT4qjKUTL4DVw22wE A1jhAjRIthE9Gcg/lvCQCblc8jZwzo6xhXEhE4db5CyyDlcNOFZ3CLZuiXqBUfJIeiNvrTrE bxWUFfeog5GneDw4LCXIvRNXg6XTNtTq3+e1Lf60EH3Kj7HkpzF34gjVoflJARDIuLgxq4j+ 9tfW/HZwouMdjjq3FRK4KmgexfkEryTiD9VtRftVPahZJaRfKbcnhauk/9Xgk6pZJWQQr1Vi TXYLgTRvYEobqQb3XewIRDMIqN1khWDQrJvZrIUs6WAroeCa5NLgXxrGt+Yya2FKPJAM+MaX iipKdCa2YSmQlD0rjxA3ndaTWIQyIPitkiQB2IiGJW2O3n3gur12BPZId4j0K6XqRWg0b311 XwngVOq1QL3Fk68xWVmcreIoIiPN9qNcsU0WC2lHn+FQlo/OlMNg8/eHUZKLPUZOf5ENmMy2 dJf0JT9MXUxG4GYDFqmBbp5V6RZQx5T09DBONQmRk9axAFouVIRilkg6m2raURG1hU4FnyYo M74hvlsPbgQ2hcPg/57vrVFs3DMi5OS7otrh047SlaaI+4sfXeC4/5zfXxaLYPlp8h+MDoso lrLA1Ee2TwZm7hvxJ0zcnNb9G0QLh9WORUQaepokgaOJi2Bu9rrHYOMQCzNxYjwnxjDEsXAU H7FIAmczZ84xXsyWvx6+pU+Z/JkkgWsoltg0w8RMl64Wz6cmRojUsL6OC8cHEytIrY2kXiOB hvEwSeiqJvZktAjXUmrxvt2QFuGawhYfuGqkDR0xBW0bjSnc09x1mLIBNwim5hR3cGvh7Ypk cawIWGN3MGMhsG5G60RaijAWBzX1DNYTiOt9UxVmlRJTFULeYbk9JRJ3XyVperPgDYvTJBwW C9kjduZgADgJIUBrRPUyyRuHY50xDnTa2JakbqqdkVIREE29RrsiSs382Wk2PDXlTXB3ens+ /Rh9f3j85/z81N8C5XEDT6jrlG247VH3+nZ+vv4jI4t8u5zen4YRA6QuZXfUsm8rOogzEXZi Co8Q+zjtDo4punZAKH39dSTGkX4ya1MV0J0KXy6v4mr76Xq+nEaP30+P/7zLtj4q+BuVJkGp SUE5Tqvzc3BOl2ohQQqpvVhNiliaMGt4rTSCSDUC6chkEX8uJkuvO6LrKikFC4Kn98yMBRGz SJYmkGSrmrzh4j4gvlsVDmM0yfqKu5y8Zw11w1tRJfhMWU1XhFwpHOFGnLE63CL51MKogSry FN3eZMKLOyaETjUQZSHVcdweIA03ZNsa3uf3DOwxnLpT3ZkCnkjvYraTfl8hmUVdZh0C2aj6 ghWZHbALnKdm88/xvxNzJEBb0edgV6FeR9Hpr4+nJ2MbydGPDzUkejI1taocwEPgCvJ1H74V gwFRCHJTJjQwx7zQOvdfFiLTudCtEIuNjiShSJQ+jl5iPG1WLRk9NZLC9YaxZfu4HdYszlIx dcMmtpgbTVSLpOGudMGKak/vJI1UiWmdO0U5QgoukeCcTH37ZRNAqbpOi7thJwy0ayTkNoHu WlsQIRnHWWeon8eiqXWu9q4NCpHk9uNwy/Eh4rYq62JsWchRswsLFGRa/+pLFr9FwYKRNfJS yRyRIPQobMWxMtSCwuYZgSfBx6vi1tuH5yfTGqsId02p8z06sgfpZJBbiKXw/40d227dOO5X gn3aBRZFc5J224c+yLZO7Ilvke2ck7wYmTQ7DbBtilywzd8PSUm2LtRpgBmkh6RlSaYo3kSN YuD5ZXcBcgikVNFxPuIeiyDM6Avyoh8eGGXRJL8c+0jc7WDivywXXdKNL2GsSwNNGHZdIgiN loiPNiwu2yIZ69VTjB05l7IP5IY9VR+8RCfM4TmQRYId/fPJlB94+vfR95fnu1938I+759t3 7979K9421Qgb3ij3ku+8+e7QnbBSdkDy+0Z2O00EIqXb9SJxpaWmpQhWJF1dr/blEq9KeMCg AZyu5ETbwqI1THa83k3bs+gr2CHrbRQS9d8EPI3l7lPF8X2VzOEnZApCMmJTy+1k/+H/S0zB Gphnw9hLuGlUv6MY+FnVSArhVbD9H6DJlcQr0asg0V4XUsgnb8MNPiuiGW9IL9RASE7LSM3/ qo/hcyC9D1O8qZm0Owex8uKQl8ushAuj66hIywkodSgXtBB0HSasD/M1ZqkUJWmb2DIfo/Pj zzxDg3rc5ld8+allW7HboqpAZmOYF6z1/koLN+8SMS22DJvHd6zhZQiEUsF+uZ1arZgexp4p 0Zdvotn2wS0Qevc35sjWLsM0ct5VYxlU7NMv0ugmxzslgSDvVBGQYJQN5JnuKDFw1AgsFzdi QsDctKabdmJlNF5Khw36rbuS+wVjFIqysCgD1Twgei/oD39GZLgBRpvHM+s0RQJ6B4RuClnU nk2SDRsyhDFHhF8iyQi/4QEQt0O33a7wYEfWcH6ZGGbVH43TfM0HGFpBt0JFX8YirCXDzJKc M7x/pUSxt63qYMP3cJR8mIjgEhqvGsR7xwvznAyDwJoKGNDiE2Oir7s24XcmnGGt04RQm8Br c2EcYQAdyWRYySXrtxrkamwroTcSf0GyeROGJ8yY/ewT81lHAWK+T0t5LCGYeoGdJC9vEhMS 2Fr363KfMxCqZSMUr0S5y+rtlKmReFwm26nB7toqkF7nsDE9zVENGb1Xv/wgV8x49/Tsmcf1 eeEnSpMRgmrFPKTCktm6DYBKdWCXzTAHJ42n7R/U+PkwmQ4MpvFaA/x4uih4KdOqlPtiatzl i1Dc+1p0u9S95wrR1hhgx24fTRC5x3hrnfBZNTaJ5H3CT1PiWnfCKtiZS6rFmByKGLxMc1S5 qkLS9Y3HJ59PscQoGclMA9lU1WASdfmgvAN1+AjqyWm1R/PGOW+/63FZDSLVcZAS0WRyudBe o+SFdJ2Yja8BmO8oRhAp5/LKD34LLJOV9Hpoc/6s8KLG+PuQ0jRlaMeTx6e6JnnsBv0H38sd E/OORCITdXXWNkGRxVhnw6MOczXonVt6GfdGldM0TCtY0tQYHOTpndy8caHqK+P69RJjHPhc ZGecRkmlUkdcX7ZKxvL4ijqgIqsOr5NMiUCjcDvHPaw/lG74nGo8q9juYxOq3Seb7CZYYPa+ reAxzFWqp4G3bU2JuzERhia+WvaeWDGCDZUYeh6vejm/3396v7orQhx822MeZxbFhseinvHl JMLRy9zzDitC8vJooZjSoYCFJqHdWFeu10U3J8kYSRR3EEokrt7K+3TKJyYNNbi8yLkW6GC6 edLLD5nDTXVoB0EmNv5tugdmFb1USRM3oUQsZLi7fXnE441RiIZk1au30+Hl0KjPAwq3JTZ9 e33Srk+d3QtqY9gi/J6LEqZHKpFKq7JpWbAByIFO25EI8YQKc7gjQvJ5c7gYqH5nC93D7YHs S/IJ+XdBreI4IneJkijLZetwRJ7GfvnHkiCxB3ObDHS3cinO51IZO398/fn8cHSLt+s+PB59 u/vfT6ry4hHDmM6Ee+DXA29iuBQFC4xJQRXPq750tfMQEz9EKgIHjEmVZzguMJYwvqPQdj3Z E5Hq/Xnfx9QAjN87iAhWlC6HGqDMi5LhQoNtRCvOmH4Y+IZpEPnstw3ihVUUJST3YtT82fZ4 86mZ6gjRTjUPjGcFk4IuJjnJCEN/Yk5qEnAxjSXIC2aoCcFnn0N7UCvJ8QDrSRocykm7bMTL 8zc8z39783z39Uj+uMVlhOcO/3///O1IPD093N4Tqrh5vomWU547t7/bFzGwvBTw3+Z939VX /u0lhmCQF+79nAunlAJ2ikvb2YzKMH1/+Oqm3NtXZHk87WM8Dznz8aVbddPAajcR2cB6fEnY 9T3TIIj0nRL9Uvzn5ulbqtuNiPtdamD48ffw+vTHv2zWalfF/V9gRMYvU/nJhpkmAusjqfGn QyT/CMxHjUuGeWQ8fl9UW+4xjbGPRlzKSkSHbcI5sSja+xPlyexqK7icogX5IV6eFfAfVo+v 4jlTTXHs38DpINgCWCt+8+EjMxJAnLBVTe0SKcVx1A0EzsMwyBMOBS9KIz8cbwwyWozYaBMv CdMij8HmmoxrC4fLP8CBTzipd6aOP/OVJazo7aG59NwRW83EcnNbGU63isP9z29+cXC7zcfr GmCG0ViU03TYQdFOWcUpXxav8tNo8kDj2W29HKYAYcs3xiqHwSc6i5cM1nUVb9gWYR+MlrbF w3BhtOJy/3bKTZoUs4D4kSAuXpkEPfz2YYy5jqDuY5G+wnxzgJ3MspCpV23pL/PJz0txLbjk J8vsoh5gT4yXjIYnv53ZS5OI9cGwR4Nkk7EWrOq1tzh+jjAgLuSGEbQ88YFpdkg2KZpRCkZI jrsO+Tr9dkOQYieLTr3UQ88nO9elFdB441sS6rAk0b1bb3Xhoi0G+6KPjYcaQtin0w0zdP50 xIos1+r5Nz++Pnw/al++/3n3aKtWcp3CS0nBZOdMi0Jl6MRrJx5TcmqLxnAbOGE4bQwREfCP ahylQl+AZzw62v6sjTjOECD3aCkO8chCNlijJ57thUaxlw6FVKyhSJuOX0jAYnZM76kSiyiS yR8OWZ7zbjqH5EKMYH59+vzhV84ndgS0OV689SbCj5s30dmXX/IueO71bySFDlxy5UrEcNU0 Eh0j5FMhD9Yrg+ynrDY0w5QR2VoD4cP7z3MuFQb6MXl1plwIp0Baf54P/1lydBesFgBYS/O/ ZEs90fXQT/d//dDlrSi/NsjB0GdH5lFhaYPCupNSDprzS6dyjknBq66Ff178suxgL23lGIBc dtM0WK0Kz5wXlWjnWp6JnIsHZFUrlHErb78sVTD/fLx5fD16fHh5vv/h3aorquLj3Dvpolk1 Kok3mnne5tWPtOKZt2t/mHDMBBvhHkbV5v3VvFVdY0++MyS1bBNYmKJ5Giv3jI5FYVUZjHfo EFGM7/MqLOZiUUmww4c4ajxxnjf9Pi91UpOS24ACYwhb1Ivo4F1fV75Jn4MIqEbPwZMff/Qp YhsMejJOs/+Ub9yhVWcdrL6IIgwsG5ldcTXTPYJT5lGhdrCcEusbKbJEyj9g2eveqyw2Z3Pv AlExFej1xenUJQHsB+EjoaItusYZP/NS2JnXY2vfXag+JunD6cwcyH/a+F89qFUHFqh7bM6H Oi078FOWGpQAHs62sr9GcPjbeId8GJU662PaSrhalAEK1XCwsZxc09EgMNksbjfL/4hgxJPO DTp2QPPZdeXVploQGSA2LKa+bgSLcI+TevRdAu7e3Csx+bSrO6+ivgvFR91lmuWObZcRn7aD DbCsZJgkNEhkZA42n/vx8gWeNSx4OzhwJYpqr4P7JGk6VbiSRgxDl1cghkleK+G5+ammlVvP TYMwkhbkbGBA1JvwC1em113m/3JFkAG3tX+YfRGSS2YBseOWDrePlXtXUq2mOajKkdfXeI+i A4BxV45vryi8bJZKXaCniUt5b/rKqx4NP7aF0/GuKjCPrRow42wt29ahObVEHde0GYCzNUqQ /tMv5+ySgRx7pxUHTN6s2YyCAesVdjUzg4AhPyuDwsKAsxcwWVB09yfFX1ckJSkVsqckrb8B WDdRA7ilAQA= --mP3DRpeJDSE+ciuQ--