From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-7.2 required=3.0 tests=HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS,URIBL_BLOCKED, USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 26C04C2D0B1 for ; Fri, 7 Feb 2020 04:24:10 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [209.132.180.67]) by mail.kernel.org (Postfix) with ESMTP id C91B420726 for ; Fri, 7 Feb 2020 04:24:09 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1727390AbgBGEYI (ORCPT ); Thu, 6 Feb 2020 23:24:08 -0500 Received: from mga07.intel.com ([134.134.136.100]:13582 "EHLO mga07.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1726960AbgBGEYI (ORCPT ); Thu, 6 Feb 2020 23:24:08 -0500 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False Received: from orsmga004.jf.intel.com ([10.7.209.38]) by orsmga105.jf.intel.com with ESMTP/TLS/DHE-RSA-AES256-GCM-SHA384; 06 Feb 2020 20:24:07 -0800 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.70,411,1574150400"; d="gz'50?scan'50,208,50";a="379286854" Received: from lkp-server01.sh.intel.com (HELO lkp-server01) ([10.239.97.150]) by orsmga004.jf.intel.com with ESMTP; 06 Feb 2020 20:24:05 -0800 Received: from kbuild by lkp-server01 with local (Exim 4.89) (envelope-from ) id 1izvBV-000F99-74; Fri, 07 Feb 2020 12:24:05 +0800 Date: Fri, 7 Feb 2020 12:23:37 +0800 From: kbuild test robot To: "Paul E. McKenney" Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org Subject: [rcu:dev.2020.02.05a 108/108] kernel/torture.c:239:3: error: implicit declaration of function 'rcutorture_sched_setaffinity'; did you mean '__NR_sched_setaffinity'? Message-ID: <202002071234.g3wrWumn%lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="ansgxnt5rhi6jub5" Content-Disposition: inline User-Agent: NeoMutt/20170113 (1.7.2) Sender: linux-kernel-owner@vger.kernel.org Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --ansgxnt5rhi6jub5 Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/paulmck/linux-rcu.git dev.2020.02.05a head: 7ce14e5d0186428062a09b295296daf5cf420d88 commit: 7ce14e5d0186428062a09b295296daf5cf420d88 [108/108] EXP: rcutorture hack to force CPU hotplug onto CPU 0 config: sparc64-randconfig-a001-20200207 (attached as .config) compiler: sparc64-linux-gcc (GCC) 7.5.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross git checkout 7ce14e5d0186428062a09b295296daf5cf420d88 # save the attached .config to linux build tree GCC_VERSION=7.5.0 make.cross ARCH=sparc64 If you fix the issue, kindly add following tag Reported-by: kbuild test robot All errors (new ones prefixed by >>): kernel/torture.c: In function 'torture_onoff': >> kernel/torture.c:239:3: error: implicit declaration of function 'rcutorture_sched_setaffinity'; did you mean '__NR_sched_setaffinity'? [-Werror=implicit-function-declaration] rcutorture_sched_setaffinity(current->pid, cpumask_of(0)); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ __NR_sched_setaffinity cc1: some warnings being treated as errors vim +239 kernel/torture.c 195 196 /* 197 * Execute random CPU-hotplug operations at the interval specified 198 * by the onoff_interval. 199 */ 200 static int 201 torture_onoff(void *arg) 202 { 203 int cpu; 204 int maxcpu = -1; 205 DEFINE_TORTURE_RANDOM(rand); 206 int ret; 207 208 VERBOSE_TOROUT_STRING("torture_onoff task started"); 209 for_each_online_cpu(cpu) 210 maxcpu = cpu; 211 WARN_ON(maxcpu < 0); 212 if (!IS_MODULE(CONFIG_TORTURE_TEST)) 213 for_each_possible_cpu(cpu) { 214 if (cpu_online(cpu)) 215 continue; 216 ret = cpu_up(cpu); 217 if (ret && verbose) { 218 pr_alert("%s" TORTURE_FLAG 219 "%s: Initial online %d: errno %d\n", 220 __func__, torture_type, cpu, ret); 221 } 222 } 223 224 if (maxcpu == 0) { 225 VERBOSE_TOROUT_STRING("Only one CPU, so CPU-hotplug testing is disabled"); 226 goto stop; 227 } 228 229 if (onoff_holdoff > 0) { 230 VERBOSE_TOROUT_STRING("torture_onoff begin holdoff"); 231 schedule_timeout_interruptible(onoff_holdoff); 232 VERBOSE_TOROUT_STRING("torture_onoff end holdoff"); 233 } 234 while (!torture_must_stop()) { 235 if (disable_onoff_at_boot && !rcu_inkernel_boot_has_ended()) { 236 schedule_timeout_interruptible(HZ / 10); 237 continue; 238 } > 239 rcutorture_sched_setaffinity(current->pid, cpumask_of(0)); 240 cpu = (torture_random(&rand) >> 4) % (maxcpu + 1); 241 if (!torture_offline(cpu, 242 &n_offline_attempts, &n_offline_successes, 243 &sum_offline, &min_offline, &max_offline)) 244 torture_online(cpu, 245 &n_online_attempts, &n_online_successes, 246 &sum_online, &min_online, &max_online); 247 schedule_timeout_interruptible(onoff_interval); 248 } 249 250 stop: 251 torture_kthread_stopping("torture_onoff"); 252 return 0; 253 } 254 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --ansgxnt5rhi6jub5 Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICM55PF4AAy5jb25maWcAnFxbk9u2kn7Pr2A5VVs5D040Gs9tt/wAgqCEiCRogJQ084KS NbKjylgzK2mS+N9vN3gDSHCc2qpTOaPuxq3RaHzdaPrnn34OyOv5+dvmvN9unp6+B193h91x c949Bl/2T7v/CSIRZKIIWMSLX0E42R9e//nt9LI5bq8/BFe/Xv06eX/cXgSL3fGwewro8+HL /usrdLB/Pvz080/wv5+B+O0F+jr+d1C3e/+Evbz/ut0Gv8wo/U9wg/2ALBVZzGeaUs2VBs7H 7w0Jfuglk4qL7OPN5GoyaWUTks1a1sTqYk6UJirVM1GIriOLwbOEZ2zAWhGZ6ZTch0yXGc94 wUnCH1hkCYpMFbKkhZCqo3L5Sa+EXADFLHtmNPkUnHbn15ducdijZtlSEznTCU958fFyilpq +k5znjBdMFUE+1NweD5jD03rRFCSNKt9985H1qS0FxyWPIm0IklhyUcsJmVS6LlQRUZS9vHd L4fnw+4/rYBakbzrQ92rJc/pgID/T4sE6O38c6H4WqefSlYyz/ypFErplKVC3mtSFITOu15L xRIe2r2REuzO082cLBkokM4rCZwGSZJG87ATwen18+n76bz71ml+xjImOTUbpeZi5W5dLlmc iJWOiSqY4C4zEinhmUtTPPUJ6TlnEqd2b1lvPXKqOEqOMgbjqJxIxeo2rVbshUQsLGexsnX0 c7A7PAbPX3p6aPo0aqNgMQslSkmZjkhBhlMqeMr0stNsj206YEuWFapRe7H/tjuefJqfP+gc WomIU3sdmUAOjxLmTt9hx2WSeCzAMO3O5nw215IpM3HpV8hghpbdSsbSvIB+M/9sGoGlSMqs IPLeM6laptNW04gKaDMg4xmudUfz8rdic/ozOMMUgw1M93TenE/BZrt9fj2c94evnTYLThca GmhCTb88m9mKWHJZ9Ni4a57phiqCqQjK4EiCsDXBPkcvL+0hCqIWqiCF8mtKca/2/8UaLT8I C+BKJAS1ZHdn1CVpGaihnRWgVw284QZUxLZ3+KnZGmzS51yU04Pps0fC5bvjYIegkSRBB56K zOVkjIELZjMaJlwVZiK1TtyFtN5kUf1h+ZdFuyBBbfKckYjZ11Ai0OfH4OF4XHycTmw6KjUl a4t/Me00xbNiARdFzHp9XFxWSlfbP3aPr3CRB192m/PrcXeqTLd23nATp7nRjXf3Pa17Fy+M fzG9ta7ZmRRlrux9g4uDzrxGFyaLuoGXXbG0onMWvSWQ88hv1DVfRil5ix+DtTww6RfJ4YIb OTN184gtOfX7n1oCOsED6btaK4Ewj22NtR3DNeGzdUEXrUx1D3T+F4ABXEDgBHyjzRld5AL2 DJ0uICFmNzV6NkBkfEvgaokVTAyOKCWFuy3N2WEJsa5R3GPQkIFQ0sJj5jdJobfqRrOAjoz0 7IFbUAYIIRCmDiV5SIlDWD/0+KL3+4MDGwX48hQwoo6FxJsO/i8lGXVU0hdT8IdvQxpEZSOd kkcX1w76AhlwYJSZSwR8FKEWkK1MoP5RuTl7JqY3z9ApIEIOJiqdnZyxIoUzrWsk8MZWeiRq fjwnGdzylls2KLG6qW1njS6o/1tnqYXGwIzt6bEkBo8rfZoMCSAnRA9d47gs2Lr3E468paxc 2PKKzzKSxJapmSkbQjcFBEGxz3zVHPxV15Zwy4q40KXs3dwkWnKYc61Hv6OAHkMiJXd9TM1c YLP71FJpQ9EOiGupRkd4ygq+dA1ID5AfWoaJGmx9wGxYFNnBkTFYPAO6RYfNdiIRetHLFDq2 r7GcXkw+NFCoDiXz3fHL8/Hb5rDdBeyv3QGAAoGbhCJUABBnXz3WaN6r51/2aEGotOquwm09 NNlsblKGlVt1TjmEb6TQoVz4D0pCwpG+nEOXiHC0PZiAnLEmhPP2BkJ4ESHY0BKOnrCs0OXO iYwA0TsGreZlHEMImhMYxuwUAf8+pgLEFBClYJRsn1wR86Qy7xZHgY8yF4ayAZAbJTfC1x9C bsFRDINo7+e15YJNSAMKqVHTu81x+0eVpPhtazISpyZloR93XyrSO6cxwiq9QE8CkffaGhqX F6KhZxEnWW9IUlgQEOAfXZhValXmuZBWLxgswU03ZJhu5jxkMjNIFz2j4qHtK02EawR7hwzA BCIWJiu0L5l1hxnE2bDMIdUxl7DhdF5mixE5s+FesTQte3OuV6KqI2Ca9g/1rCCwEJ3AUUrU xw/+5iVoPmRtDJkfn7e70+n5GJy/v1RBggU2G02n1oWemblD/5O7aysafNAXk4n3DAFrejXx mDMwLicTJ6Y0vfhlP152SagmKJ6vGESh1va20TJJeCgB5YC6HEhjlJGS+9ptUh1HQ0N3F8yI TO7j0JJiFN2OZR2iyJPS2K4VXwbxcfe/r7vD9ntw2m6enJASdx98wifX7pGiZ2KJiRqJ5jbC bkMeJ3ozbIwSfeix4TeJKOxmDDh5ZcUK3DLobAxpD5vg/WXg7L9vIrKIwXxGIgZfC+DBMEtz n/77VgYulwX3YSdH0z9S0ahqfIKtQj5+8/Kb1Y/uerfUEZF2XbYZfumbYfB43P/Vu9KN5cMM L7FD7M9/HdZSU+YX6xIPHuO3ADEMk1KPuprji+47BP9qO87SDhkyETFVh8tXPWJOMi2KOfhY Q+j7UZPhA1QHNwxx/b7Lru3FQq8Ck3cYzj+IjAm4xyWG6lZCrL1VfKkqCxLkaQtkOgqAUTSz aIhxIuCuSEHnkfDH4qtPlRFqFseccgRS42gFVTy71ynoxkbeJoBUqRO4VER3p7ozkEaYzteh EInXCt66Wozpha+n4PkFXy5OwS855cHuvP31P9a1E5bW7uEvCvDJopSZTgBrORkLJIqcZXDN pbEXR9Y+HgYcOn4gYm7YBkwjs2zPnwGgTqxoMvUt3Sw13Z+29VuOGco6gp5523GLCHMdJ0TN O6dRkAjCJgBO6mIy1SUtpLWRYUg1n1KQ7gKmbIky3l2MuMrhgrxRzJetEICuEkxYr22NjC7G eYZBTLg/77a44e8fdy/QGEKARpXdwkWFXS2naK7mlmzt7aLCLt6F/F6muQaozXw+3fS4aJGP Q5Ws8DKcKLh7/zCAcy6E5ZoarwWowSTXdTEH39UP0fAFDA5d/WjUH02yGcSMWVShWswBm1Rw 3p8DzKr1Bb7pdWroD0BLXeFDjEVGmZnQPFsCeooAPPVhczMBk7Okab6m81lPZkXA+aD9Vw8p zcuZR6iO3P6VrEgiS95JBWEi0+gMNrFg+ERonhR6C4S/Mcwwu7dwwiTDHknhj+x/hlaPTnZe zhgCcQu3i6hM4BLCqBtTJRjq93pha4gu+hYiokjDFBSfEVo4SsClA1mVCpyD8yZq1FGz+61q 7uU0xMF42gMMsMvdVRHHjgPFu9eOxp3jVp1wKpbvP29Ou8fgzyrSfzk+f9m7CBeF9AIuRNsS DdEAqkJ/0DdOXPpGp+0tCSAbH/yEKijFpOMgqv2B02k6AlWnmIuyD71JzSjMlHSv2vV22uqp SDUYSATx5aFqmTJD/mjjiu1POnV+YoyP/ShJ2zfokUxhI8n9yKFmo7lIcDjja8FYc6VTDsFy ZmWqNU9NWGllrTKwfbDJ+zQUiRqeDPO8k4D/LK0AKkSjs38uAHsoDsfnU8lU4XIwIx0qByFZ ZIj7Rt8rqlx2wWaSF/dvSiHC82+NefeooY/xW/63BxRbhT78VQ2BMbx77syiQXMiJ8ngyOWb 43mPNhwUgKXcZBzmgkwqo0GQvl1UkVCdqIuhPGQWc4fcgbreRJwdHIAhXFP6yYVaNQ1dro1z kGwwclVRILr3KwsrQDsuKlQagf90y0ks5uI+dLPqDSOM/RGLO17rb4j7VE9UdmFbelXQAuAR nBKeZtuG3awLKQDVUS1TqwjCeKCqMWyeWGXMwrZyBVHIGNPoeoRnxsXrx1SEREbM1B50IuOc fmO58jft6Ga32D+77et58/lpZ4qYApP1PVv7FvIsTgu8EQdXlI8FP2j1wOW2V1Ry+7W/JoNX sjEBtIxKk55pt3dsghU23317Pn4P0s1h83X3zYtR26iwl8gzLzi5gU3RAEDWRTfoWFnWS67W EegavKF9N3esJfwnJfkgSB1IDAetjiLOSDt8APoABvKiOqkmhdeaYjXVEL287QZqQrVXPojR o6V8JolLyuf3YP5RJHXRzzIvlKXPJj1jVp3yzLTpJRl92MuXdEkY+EECB952AbEEDIhlViPR LPH09JBDcNvN8SEsoy5MebiMAX3ZQzyo6qHFH2mxmEmJ586UslXJX3xJ9UqbOMKINJDV98wn CdYMGdRrzyNnElHeoGKkQWH4as0yOk+J7HsshNN5gT6N0eqFoQv7Rs9JdyZsM1+EaOAsa8Id c9iy3fnv5+OfmIXqTpl1l9EF812a4Gutd0T8Bc4gtddsaBEnfpxTJD5FrGPp9IG/TZbO24fh InyQ8VhS04ioMtQQn3PqhxhGpjoob3UCe8dVwakfAIKmAVyPDBDlpsyAeTefV5vUGVpeeTFK vPWPwG4TU1LAjSV7jWMegolyNmptzQDoJk2MqXo9mG5rGVLM/cehEQO8GwrlO/UgkmeWu6t+ 62hO896ASA6FKPyeoBaQRPr5qHqe87eYM4nvDmm59tXRGQldlFkVGVlv+uhnxYKPJDiqhsuC j3RaRlavFj0W5YDQzcDdDGSTkR1AHoD+cSZE5nAljJjcYGqGiOe1Rypo3pDd7nF9o+fbSEiy +oEEcmFnwAML/9nB0eHP2VtYupWhZcjp8AZr+B/fbV8/77fv3N7T6KoXjLV2t7x2DXV5XR85 Uys7YqwgVJW5oLPQ0UhAiau/fmtrr9/c22vP5rpzSHnuK3GpGg+N3bTx27JhKV4MxIGmr6Vv Rww7iwAGGthT3OfM9gPL66H1IdE5GQ3FL/qmB8O5lSEGtv6TW/VgtnJ0vWx2rZPViKIMF25r 35NJJ9ArRAPNY3U8vlbiPT/mU4wMgDSTJQIfnuY9rGELxzwpxgLe/A0muJuI0lF/q+iIL5Yj xYGwF36QRYrUS0+mIyOEkkdeEFklO9FnKNJTK5K8nS0TkunbyfTC/3oWMZoxP9xLEjodWRBJ /Hu3nl75uyK5PwOSz8XY8NeJWOUk8+8PYwzXdPVh9Foar/KMqK/8JsoUFjEK/ILCfqgIYfuI yWN4O8PnkaVa8YL6/djSg3rseUKwvhi/INJ8pAIMV5gp/5Bz5Td4oxUz04gtPRpAfnIJ8ZlC 9w4yfRPLqPI5R5lbUaaMTbG47azWbvluXWiKHeaSC3/k08nQhCjFfR7WXK9Yx6zutVuyF35y /BVWsv3u/YTE1LiBkyRpnTfroRLML1af57ihQnDenep6fEdD+aLoVdm7Z1QKuGwFxFeit0V1 ODPovsewQxRrw0kqSTSmypEjFPpPHYlBp3LMk8V6QVOPHkd0iDhc1snqmrTikgHBtYh4hof5 YpBhbBmH3e7xFJyfg8870AjmTB4xXxLA9WMErGxcTUHoj4Hj3DyOY53tx0k34ooD1e/d4wX3 f2sC+3eXu/Zxl3cpQ2ej7zzF1taOcD9woiyf67FccRb79yRXcD2OfTyDCDj23STWtd6juIXD EZaB1VmLmgRHE2aa2Hl041kwg5O6KfCY8EQsvVWq1bNTfTKb0xXt/tpvd0HUf4eu66KshG3/ R/3RlHKJXflqpy7KGaY/wWv41Ql8onKfkSNL50XqjlG9zLsE72dcyPtUcrlQvfm8YSrIlVVN XZ11M/X0/smBybsVpEgzDq70XXjIJUVPY4yS3vq4WA76lL5rwHAIuGor+1fXoFW71fmrjqwp Vi94zMMSUXPzvFq9OYD09vlwPj4/4VcknqIhbBEX8N8Lb80esvGtbvCJTsuoX84dDtNrrGRd d4Z62n89rDbHnZkRfYY/1OvLy/Px3FmtaReteh1FKzPMkJonZIQ6bKABFrtvIG/NqFLP5nGH Rc/A3VkqxA/hfPOmJGKZ/T2BTfWtoGF5lmGzmqZdXdYP59U+8/j3vrULdnh8ed4fzn1rYFlk So79BUF2w7ar09/78/YPv6XZB25VA6qCVcUtVqfjXXQ9UCIj93CllI98WgSiPZ9Vz/b9dnN8 DD4f949f7frYe5a5X/IYghZ+SF8xweyFH1NWfG9sXLOEmvPQ/oCG5DyyH9NqgjYhMQZ2EHt+ vLQu5UagdnQA7Yq1Nk9V/pu66S8l0GTGM9891wr169e6wcoUn9m5L45thDArnflam4dmTXt4 uvo6cfOyf8QnvMoOBvbTdFEofnWz7jL47Zi50msPHeWvb4dqRXlwXdNhC7k2nEv71I3MriuW 2m/razgQ/YensirEmLMkt8GeQ9aYNXW+NV8Wae4+Ljc0QMRl5v2GoSBZRJKqcqY7JLIaKOYy XRHJqo/bB/qP98dvf6M7fHoGD3Psph+vTImEg1MbknndiPCzR+vhb11I0o5mralrhen5gT68 bIBESRIS+1G2k2sqHuyN6i+jxdHEFFQu7afFBqWbsgg/r0e19gIf/yPJlyPZklqALeVIQqkS wH+xoO4GgEsqRgqgjRhR9xlthE25m+8IspnzYFj9NtWEfRqgNm5Zf0VMncLFprX9+X3TmlKr nB6dipoTWRlD7L4wIDM2N5opvPPeKyOHqK0xfTRQ1y135gjksex2AE6tss+moXU1CMDtdBBS NnA9UyP1OoUvqBaW5YsYtyUtnNo8IC5E+LtDiO4zktqQCWi9Jx2gYCSQEN8n89UHEPjVRPsJ BISS7kcyDeFbjwDCdrqmocKR48QXx3XN4EzHYjAAMlRp/qWCIU+VWZjnvvHI+vb25s6Xbm4k Lqa3H4Y9ZsKsoF9M5KQv6vqfrEwS/OEP52uh2J/zguF45D+LTUuEakpFYBc8v5yu/eFxI1ym zJ/UbAQSIUaSm7VAJMPxYiaz3B/w1eIH/PXtm3xJ/CugEdg8ZnJotPSPQBBHodNiIy+DYCbL yB+uV/mCH27jj5QjlbtBVXJqmTIrDBlqFPnePAEw9Eh+wfAKImf9NG2TmbIH7erKO//WKC26 ml6tNUBxxy9YZHTq/qulTNN7dNq+0zWHi9D+tLHgcardSh1DulmvL+yDy6m6u5yqD5MLT6/g 3BOhSonf18klp04dDdwfieUbSB6pu9vJlCSqc05cJdO7yeTSerIxlKnzaZlimRJSAaZLpldX /i/VGplwfnFz87aImcndxH9y5ym9vryaehYbqYvrW+tbeCX7OYAmgjL3drfIKibWKoqZ64OX Ocm8gJpOa6delWgxvF6sALTtoeLAQZv6E/w1P2EzQn0XSs1Pyfr69ubKVnnNubuka5+zrtk8 KvTt3Txnau1pzNjFZPLBexp6S7K8SnhzMRl8pV79kzm7fzangB9O5+PrN/NF8ukPQHyPwfm4 OZywn+Bpf9gFj3Cu9i/4p62qAvM+3rn8P/od2lTC1WX/YLY4s2CAjAGl592/unQ4754CwALB fwXH3ZP5N8QGCYalyBHidIYEBOuHycKYz+KtkPqtji2ww7LVJ7+PY3Tuy5thnd7/MfYsW47b Ov5KL5NFJnpLXmQhS7LNLlFSiZStqo1OJV1zu8503fTp7szk/v2ApCSTFGhn0UkZAN8QCIIA CCMpRM4G00olMXD4HCeHiSrf500+5UZgjiH7DPMlbL/GHWq5ZQThXjwX3k6a9D2mrWEv6HNS yrhMXMNjhSMJD9aQsb3hCiO+Jam9YcPaVyPwwLDsPeIK74Mf7qIPP8EZ5/UC/37ejhqOXZW4 MtDFywKb2lNB8CYXCtfd4pWgZU/oFN3snmb3VslaLFt4YWVC2bdN6brBlpsbzrGPg0w6577N 45VDh6F5Ie598bvTzok6jy6MMIo6znJHjvnXQA9YZSb6qjj8xVrHXQXo2w3qZseHRl99+Dmd 5STLLHKO2s4u1WzWv1yM0dQUjZQUDZ57w5cBDi1WLco0/Aby9u33v4SAmq0ruRYAYpisF9vt PyyyblIikNTwa5Tdg10apFhYtIb/4Bk23ApXCfhTd2rdw1X15WXecXMlZ5CQ/L34knC26K0l QKo+VuZ3UnE/9F0OakuhOi96As2fDE2qJkWLxooYRXllhqjD6d1SVK4otbtx1K9Pr5Tmz/o9 goEypDX8zHzfd54aOsFPIW6fhRNFLXy/7vQFJEbDSY73Rs+eocMFN7WGZS7ntcvzo/adCJwP BMY1w/eWeujb3rBhKwgcDbMMvd3RCu/7Ni+tb2Ef4erkvqBCwOEiYd+M+GQULtbh5Ng2obMy /GNkT4xX0p7sKogJR3PA4qLFGG+DOZBrZTa3PAbuTAZj+vhpaISdEsY9dfgVtk5yvk+yPzok k0bTO2hU/6bO4URVk8eBuJwiFqTVR2QSTlXNzPv9GTRx/EtY0TgDrGicE6/ouz0D9dToly3J kCLAXKQxPqhjRUlD1h0F11DwfVmruNzs9LBN1wTTC/RSwvfJsKvWgSNjEnDDfelX0aGujPPa vgru9r16Lk6kQ7+AY9sezWDvI5pQQytyGvJLRdDaSBbE44ijGm56WFb45bUAezadh8tdcsT9 SADu+DDJ6CoCCEcjAuOqLnL1DBCuMo4YhgP1PZw1yBGXwR/pnZWieX+uTN8QeqYugcEejnjP 2MMTZlPRG4JW8qY1GJPWYzQ5HMUAF7tPU4Bll5vow+VOf0jRm9z2wLIs9qEsHq77wJ6zLHId g62a2/lruoravEmj8M5OL0uyiuJfDn3qzZM5/PY9x4Icqrxu7jTX5Hxu7CqzFAg/FLAszII7 +gb8Ke4MDPWSBQ52Oo+of69ZXd82LTXET3O4I1Ibc0xkgnaA0xvQtKm4M7WVnG0NWbjzTFke PNxf+eYMu6mxschw8vLuEaB9MHoM9O2dTUyFY803/obWegJVHLgPnfCnSlyKHsidw05XNUyk yjMsNe3djfWxbo9mVuvHOg9Hxx3KY+3UHKHOsWomF/oRjf3QOzIIUxY1tLbHIk9hl5iG3KFa PhbCpml58l/P5fQuz/SlMfY+8aI7H4vwaeOVsflnfrhzeOMLFG/xL6nP/GR3rzFglJyhoqUX 3tk9imI5Bb3DcBphYruzz29IyUpPoqYj2hpOzPDPzJPruHkBuHAXKO6d0BmpTe8UVuwCL8Tu NYxSZooiwnaOXHmA8nd3FpRRZvBA1ZHClXtP0O5833EMEsjonrBlbSHMRSNuAmFc7ifG8DgF Bv8HSzc0pkjpuida5Y6Mt0Ozd302gHMYogVTOS5PC+Hq3mCyVtwoKsui9Fp8t+BXQF3SM7vo BrOGDHfG/NS0HRw/DVX8UkxjfcTDe7SyvDoN3BDhCnKnlFlCeIGCUiMCfliFTzW3DJPbOs/m /gM/p/5EHHn8BRa0P+Aijl0fadVeyLPlyaAg0yV28fdKEN6zUaxOpWvZ+UotH4lbIh/KEt/k QPPqcAxVPnBnl34NU+/yO+9qR1hp1zlSelsFpKXz9Of3H798f/v0+mFg+8WOLqleXz/NzvwC swRA5J9evv54/ba9ELhYsm6JJ5guJWb9E+RXSyZVew6G44Y5EX7e8MoGbOxSisxKqe5hr6M0 6xSCXc72CGo5KjpQPSOGai/u0hzZBbqeMGoGUCGVXo9JGLICrc85p30+H/Ax3KoAYEjdpV5H 6E7HOpw76J+fSn3f11HSUlo10hqiLqNlWMmHy5uIDPlpG2/zswg/+f76+uHH54UK8T6/uG5W 6CiMuy6lDz5NRvA9QcYhIXEUV/2UlahoPBtaIPycOsvrZL6x/frXD+etI2m6wYx6FYCprtCv TSEPB5G7ww7yUTgRp2V5y1oUKpnIA83xqG1BQnPek1GQ/PauBjF8f/32RSRzfBNZvP/7xfKs m4u1IgsUGvqmCD62T8L16t2EVmcFtGqrzpZ40GbTFceiSj5UT/vW8vxeYCCkcKGvEXRxnOGu TRYRphdfSfjDHu/CI/c9hzOKQePwRtFoAj+5Q1PO8Y99kuGRoytl/fDg8IlaSY6d47htUEge dISGroS8yJPIfCABJcoi/85SKGa9MzaahQEuHAya8A4NCKU0jHd3iBzpO64EXe8HuHF7pWmq C29xUbfSiNBYYai609yxrcsDYSc0eb9NzHh7yS85fmF+pRqau8zSgvjAbfDX9aXBxNuhOLmy mqyUI7/bXpF3cOa5wwiUi4RjqLlBk2GGLUwApo5hRkiFU56w2zJwtKkrOTxcZZRE+4LGuxRT EhS+eMq7XBeOClyJndblzqdIzmwcx9zhaSIp7M/ZHNVTk3ciFY2dWNZGC63SvduAyBc5Kh6c Ey5zKxg7oIKIesX1ceFIbqFTkQ5UnXtUp7wB5cGRKehK9rDnOT4gjairjjkbsB16JlI8AdoK qKCaU/I8ZMETrOgrPdmoBhRO4eI5GaK7vej4vEyzdHcLZ/rvm/hCSyqsI3rfC/wbBYWyPdGR O4ov6ImHqbGcOtEAuwMZC4JFrOqE+yHwPT/Em5LIwDF+YR5vm2oiRZOFfuYgesoKTo++7xme LwYF56xzvXqzpYxsl1iEwjm1Zb7zwsg1acL5HzjiTjdOOe3YyfLk0gmqiuNnV4PomNeOwO0t GRIDgFOPRYg/8KBTHYaPhLMBn6Fj25ZkdM3QiZRVhamzOhEc/IFtRpylWMKe0sR3ND40zxVe rnrgh8APUgfWOkubuHsrKoXHdMk8z8erVwRKPCNoUFZ8P/N8Vw9AT4nvLwulzPcjfGLgiz/k TKQBihxdkD9cHSB0TIZ64gzbjg3Cphr1aBGjiYfUDxxitGro/CQkvgQlnKV4PHqYo7JOKP/u 5aMjjo9L/n1Bbz90sqHY+5Hn4ZOlBKOrs5eSZ+k4Ojd9g5buUocmZPQGdjIREtcygiYpMpnF D9PMIZDl3wROI6Gr97DGUlrc43mgCzxvVMIUb0tSOPhNIZ3bT08nNFudIQlIbSTpNnFsFuJo 9Yz7gcO9zCSjB4cabpCNWeJIv2MMuWNJ7KX3V/u54klgHoIwKnmv6Bph0YoXdsh0PjjOr8Zs tyc679X3WiWPLJaxuLZFgaCyoafE3m8lyNJUJYxRLDeDRB308JEFotjUggfl7K9v0/v+BhLY kNDbQIy9XsFQQ+GMihcb2unl2ycZrEp+bT8IQ5KertbsNxLyZ1HInxPJvCiwgfBfMzhQgbu8 FzaNdwtaEDge2VBgFAG1aujzi3FrJIGzJyh+xprbYAFV77LYZfvCLmhTdPvbBMpmgTY+qClb h3bMaTUHSa6VLLCpYXGcIZWsBHWElqvo4HsPuD1gJTrQzLNIZudmjCeuQR2I7VEZ7j6/fHv5 Q9wAbALJOH8yLnpcqVl32dRx81ZLxQtJsGMp4VDUiIfdReC5/rqovCfmZgBq8VTUuZFiuXh6 FlZ4Y5Ok7Zgrq33tsE5JCkZFZnOH89FTUwg7GZrIckFOR/0ytH1uTf8WYoeCLJTTqawdzgjT kWF5cNTzdnPi1XcTyoTFf4XJiFWxXlcOXYw9BvRcaCePWiaIEGlu7JcKyursCjsF1IOFUyE1 r9/eXr4gL9uotZbPqBVG7nmFyILYQ4HaW7Uyx6VKI2x8sgvlQaw6ZlnQiQoVEoG3ZUUk6ahq zNHXGDWSppc+H1pKbR3biydFaLWSOFrhVVOiXifGnFxAnDqm64LDex5k2YiMTgSd1zkXD3Js VrP589+/iNIAkcsqLxG3kVKqIjGwGjRHU/JriOsE+RYFGxpz+77Cn0ndHpFuL6hlQd0zBpRw jHzHamAO086V4oTdXsxotMvyNUsXk31kdDM7jBzEW25I/4qiGVEJtOD9hDBxBjC1YxvtxpgW iBl77IG3YKMhrK56sVuKJftnVNq47cHMe/pHnh9tvyiUEG1Uw4nTrHp0xP7YdKJ9PpQixfZv vh8H15cjEUrXis3+AR1bemQPzCTAuHEzFb3Dg0Wh+86tnAD6wOqp7py+ZToVaQ51Nd6e7kJ4 9cjUJuRIQJ1vez0I1JLmVlkqHhST6tJm2uQ7LHrEKWw/m5emrzD1XOlvWpZ/CXdcwHad60Zz Dja7tQiko2RSL2PjtZ8u8+u9yKQJEz4RXgT6qUIknHbnceEF/Oucm6gz/gT4qn7aozblvDRC YLeq26pEyXGApjAwLpOdr3l41N1pUCAX0LpIgB+TvCgBVjJ9NIPlcTt8kgVavnKMXv4Clg5r bjf615cfb1+/vP4NIxBdKj6/fcVi1EWxvN8r/Rxqr+uqcfgkzy24LyivBFaC9g1FzYso9PCL yYWmK/JdHOEau0nzt3s6po405it+C6KvjiZQppXX6DeN0Xosutq6KFkipm9Nt1nVnELJkQFR UMBpemA6P+Vf/vXnt7cfn9+/GywFsvbYGu9+LMCuOGgOACswN2LRzYrXxtajjsjTc+WYOU/b B+gcwD//+f3HzcRyqlHix2Fs9wSASWhPsASPmAlDYmmZxolVkQpENOwZACYZmgtDophpJhWw jpARMwoIXCPNNIHZrHISBx4f7JYZgbPpLnYtKmFJ6Jl1CXfVZLTrORMs3m3GdH27uItISfOf 7z9e3z/8LlIqqSX48NM7rM2X/3x4ff/99ZPwSvt1pvoF9M4/gC9/NlepAGaz9hv1OTBybGRq MlMls5CLmmuPQiNhNf6Er12Tng1V4GSnrGqlnFKvAZDm4yZhlEbZylt7s0b4BJwdZoTyCr2z BuTs4/i+vMoEG8O/YQ8H1K/qg3iZXf3QD2GT9UkDgkahTN4aiuctm6rz+mZX++OzkitzY9py 27L84EiW4PyyrUmwsqyaSHsdrQUXqdOcMT1XEiGL7pC4Uofpm+s6YaH+RJVIgA6QOf+36Qys IXA1r0OdljvjuVKmZWeDH8ZOrsyHTE/w+X0RnRL85U1kMNFSAkMF8uXdaz4wM804/Ny6cM64 hnczuZLNHVsaQLKhQj1FLR+lfBAHZrPFBSWNFihmm7fsips/07UT/5IvRv7489t2++AddPHP P/4H00QAOflxlkG1bbH18Js9G2cfX+El53xiQXNxfPn0Sb6pB9+qbPj7f+kpC7b9WYdnqw3L S7QzYpKp3fW0w6RR2teWXugOBziLc/NxWlET/IU3oRCaTiu+irlthBWWXuUsTANtw1rhYxd4 OwROyy2QFl0QMi8zuyow4oXK2jhVr5jRjz0sXm0l4PRgGEoWRFtUdYudpdbuCO0633azYFFa Z/G2lxJhxn8tqOpxIPJyZcAOIoKRDRPQDID9hnGRCnTOoh/7wULRHqytcylC+kc7hlAtolN7 ljsbe2Lo09oSucnpLKHSXc5b96b5LbH3l69fYe+XrW32JFkujcZRJZZ8N+DqAG81cg2xN/tb Xqw3MXTkgYv/eb5nVbYyOrITK4Le4TUlsaf6Um6K0H2WsBTjQDWvpB03ZdSm7l4M+Dqmg+1Y Zj7Zhk3zqpxJ6OvfX0FYbad/9oDdzOgMdySKm0mazlq0o8ixXVpAxRkeBg1GCypPUuEWeshU Xl+zk7wjRZD5nnOTtoauOPNQ3pmSnjy3jc16+zL14mA7UftyF6c+vWCHYUnwMW+eJ87rTe/r LtxFuBPqjM/S8AZfCHyc4J6+8xQLkXULP6ZpEmNeIfP0iuvmLLFWQ4IDP8PAWTJuZkgidr67 mUc6bhrZeE9I6IVmYezpBhJkNdfE4zdXec+zcctnZJKZLHy7OzL1ukQF0WaAfVmEgR2Cp2Uv t/tnrAEoGfpDyRd/UaT8X/7vbVaS6QscnPQRXPzlZRnhEd2Oevn1zRkWRFmgc52O8y+42epK 49whriTsiGv5SNf1IbEvL//7ao5G6vSTSJxBjbEoOBMPs75vwGKEXuxCGJ+qhRIhM6XIHI3w pEGquyWadSQOROAokXkxMjJRIvSsRdJQuN3JpMFFiEmD3VXrFLHuLKcj0szDu51mvqvbWeWh kVAGiZ/qViCTM1ZVqr0IE9XZPItIoHhzF1XXJFY8y1w/bUspuPMoYxCdLtRMQNCVuaLABNms S+RlIR65go9Du5FVUkuVNbxtROJuV43iPHYUo4eN2NO9Fefqp7zg2S6KNZV0wYjVSbxtiXk5 UXpzNQ0M5iyxENTVsZ2qc7itlO21G4JlMAZQpVKwgEvx/WOQjrqAthC2/4+NPpWY3mJTlXwa YFlhIeYQL3v8wllXm8l1UcRBBumcDVe/55XXeivgoFwdhgqOcPngsHQvtQrnztRKA+Aiwu+X DKIAzQq3DA10LeC3MNwOGgpnOw9BCEUkSLfw+US+qUYuu/4hrBXxMIldmaDWTvhRnKY3icqK S5Ocok5i3MKvVelSg4yh77LtYICRIj82NFMDhYb66xRBnLoKpyGu22k0cbbDuWL94Og+jNIb fVA63g7h8VnNS7dcLjlWXJ4EuwgRTItbCrbCPQeRhdmmF4KhYL7nBchMz/r31ep1MZ4ckj+n MzGcXBRwNgmekFDq5uUHnJYwK+aaB7pMIx/bzgwCzUpxhVMRZKHf0OuI2IVIXFXtHIjQ8PrW ULsATR1ypeDp6HtYrRyGhCbXVijsZsOgSAJHramh65gojC1WChamHjJjrEiTwEcaY11VlUgB PnbIkpQsCZDqRTJvrHYSP8CpfI9N0CH1QdPDE3LpNFlwwMOTrkRxmMa4a52imN20zSiftTgH DX3gYmvbIo917GeMbgcGiMBjFFujI6gU2IWQhkcWfb4nabZ9OJFT4ocokxFhXbnguWNXGp6l 2+Y+FtK/dVMjbMC9H6CJUK65uZsK9qVtnUrOxVi1CpU6UnobVDuU8cUFtB/f+pwEReAjwkIi AmTKJcLZ3yhIbs6CpEC+ELGTJl6CdERi/B3WnkQl2NlDp9il2NSIdPNJcGtqJEXoajhJItzF WKOIEeEnEbsUHWfopzusSNGFHiYneJHEEbruNMFPbVeCFLuE1tAYS9A0RZedpnhc9ZUgu8kU VA8G0aA4k9EMUziu6B0iaQGKfrgAvz0PuzgII+QjEIjIx+deoG5tNl2RpWGCiiaBigJc+1xo Gl4oSwZh+LXwSlhw+DpCrB2BSm/uiEABh7lgO5UCsfOQOWm6gqZm5MV1WIcs3mEfWzc7gWyL UNyBSVdNAsmlm6J7OPV06Euqq3Tf06k4HDqGFScN64Z+Ih3rHKn6F8I+jIObIgQoMi9B5or0 HYsjDxGEhNVJBhsvxsMBnJwSVFQHuxRREWeEcAIa6pzrIScaSZj5MSqnhECOUEEVeGmMyCMl wjK8tjCKIlweZol5QbCywFiB5L8lOeAMEcGZFNmlABOHSYrotENR7lRmVgQReIjweK6hF+j+ 2l2o0D5u9JCdOLa7AjhA1WpAhJijl4Yv8IJbt5wNTUkrPw1vSc8KlL7IQ6QxIAJfIja1Aiq5 BHZEid09yooopf+MaOfyYtXJ9uHu1khYcYoT6d9MLTubQRHcrSNEDkyMcya+AGQ2GKVJcvOo URZ+kJWZfsFxxbE0k4fQ7RkGZjm7LWyaXNx+b2UNwMcRmwHAhIEje8hVx0AzSqzoEy1i5Jvh tPOx3UPCQ+R7FXBkRgAeeZjqA3Ds8Avw2EfqP5M8yZIcm4Uz94ObR84zz4IQXexLFqZpiJl6 dYrMR06KArFzIoIS66lE3dJXJAEifhVciCrT3UPD1yC3OboTK2TiSHehUcHHdMISoZsk1emA DHq5eLNlcs37PNIEqFR8cm0IM0C8b8GJSA/CtriKVv3x/1m7tua2dST9V/y0O1M1p4YX8aKH 8wCRlISYt5AUReWF5bGVE9U6Vsp2Zvb8+0UDvABgQ07NzoMTu7/GlQ2gATS6kxxek8FJabHd 9nGSklOf1XKg+ZHdtDcc8UIxWhmpx4pyhx19U9ESfRk8MMaJMOzbFS2rdVL2R6q6icEYt4RW Isgl+hWwJDySaV0ugl7eSDJciEAIc4LrlmMqtU7LLv+wccCwIfmO//NBQXNL8IK0aisHg+Vh ZEV7IU7abZV8vskzixFoUfSmbAwhTKe0n4uKorkPuHyxM8r2fLFDmmgfF5IF90hZRC2agLw4 klNxwG3rJy7xiIHb9Q8hnLFnYxM7eIeawkBbC5ib84z3yseH98dvT9c/7srX8/vl+/n68/1u d/3n+fXlqlwxj4nLKhlyhm+JNFVlYFMD0kM6U17IUcpMXCVEvkN7UWKUx0euBcr8xWRjOWr/ LBzPzXNqsW2mTPELF3FajTKNksUNGkYJ0i8Ll8DwGEmSuam0L5RWcLF6ozSO16Wc7zwGh5Dy N5LHR7RgOCxxu+5WSpLSLLAtG5xaSObFvmtZSb1RqRm4DXIEKzKkSrtT9aQJwp1NzPJ/yFft ZBsa0d/+8fB2fpq/dPTw+qRGoy8jrLmsXrij0hr8RBV1TTfKM7N6I62kjKWGeIYKDmXxEH1o 6hFViWOQ54jy94hSyllAF2y4bjCzGSzdNlFGkLoBWf2rF62IKFofhcNUDMfrIloknFtiSlpv U6JeOMkJwfNyH2W4hz2F8UYnjEHv52dNX3++PIJR7/jmfmHfmG1j7dECUKR7+3kcAb12A1TN HUFHOSEDz3bCSs/BrwB5MtI4YbAMlSmzcF9e8JhQe/s2g/s0irEDbuDgPu0sORQLp45GcVrT xfU4QlOfpgF9srdVKiSoZm940ONgd2vjG+0Jd7Ed4ITKJyQTUTXlncnYKTP/ONx4oNMTAdVz braAs5gbALCP78AnGD9dHmAbvevm3RvZrmJ1IRFV51MA7KnP9ni8sdI9bANvSmoaKeeaQGXp tXdrA5iWDORvoiRCLROgNG5HGWVFrL7GAeg+yfCcAQzDMgvl86SZ6OkZcbKPWpAL6RPGB0up BAsC9Hpphj1LF3Cghr4uIIKObiMnOFy5i8zCteoMaSI7ZlESdg3YEcuMhlpJje+ulwUl+dax N5lZqJnmhbnOB2hpcjJS1LvNiaoalgymotpLeV6mMMzUK1s1nmWwmuNw5DVeeAO/Dy38PoWj udf4Bj+2gNdJdCPiEDDQVeB3t6bsOvPkk+mJpL0B4PT7U8hE1tGoIsDEqKFtOm/sPtlt+8a1 reXSoda1ycob6KmODH5tAW5oTzLX9Tpw5UWMK4wwk9aHHNgchdjN4pBzmh30JCVJM4Ju/Mva ty1PdTnI7WLQw+3RC5fap0tj6Zm6thBexbRmrDU3+daY6WjpjWYSIlRhha1T1/ZiBRvot5cj xsTmT4MpanNMV5Z7Q0wYA4SwuS1Hx9R2AveWzKeZ67kLKWgi1wvXpul6MixX0rRdeGNxTYto n5Md6g+Gqyv64wCJuPCeO+oIhsDrvOWZZ1vmxRxgVAgFCJO3/k051Tz/MHhliLUxwK698Dyo MehL2bBn1dzlTZVBPR7DVMmdxsWBHer644joLy7EnAMKh0lRHh94DaRx2zusDepDeZMCPyWW ruWmKkxEoxXxzLGlXcIErkgbxbJkZgCfFgfhqaM+KM8hZx44XONnazIXUh2mu+zYwL9ZoVEX QjOAjUmIXo2oPKrRsYTFnivbSEqI9h5QQjSD2RmRNhZIXQfZuFnXhWTJ0Lg/QUoe9HYccWxD 73EMk0pJHEjuuZ7nYTUalm4kY6Fl38xYsLSe/LB/Rmmdrl3Lw3OH62wnsPFXQjMbm359w1sk iYmt1MHtmnIWB+9BbkZ8W36H9dGYHDUt1Vh8Q0+kYjG5nQHj8QMfr8BN02SVja3QN8tZ7hgU LPRXa7wRHDTEiVC52G7hoyqEa1lx1KDANULr0Fg5vuP5haavXUySxd7HQmeScZeq7gJUXDi1 xWrGwBDdycs8pc0+iWNoG9sW2biKpDKh/lFVFtn6bEaWuyQJ2x6+QPhaFGvD0PLRmYFDoRla 49Axw3uRxz4EPwU3WzhtSZCs63Tn2Rbejpols3xigEJnZVgqwNLE9g2+ehU2vgm4WXdgcly8 M4Wq76CCu9wy6FhomFTGDcQv1N6z3dsSLG07TFk49u01ddpemBq5ttHOafm9NlquUB6RUqNh pzx3GlDyoqFbKoeZrCJ90IN7Del6KaVVpLDHSVTETKuSBYZCmNgJQrubsVSR9zGL/xHLp/bD guoiP33IQ/JTgTFJLHtSlSOL3P8UJrSkv9/EH5XSZeXtMqh4Y4EVUUVZdiMx/xQtjdTQs4xK 2Ka3SrKiMThxAZWn8/YxPqiHOt3CwLObCWf9YoxzAg8PwesgfjoEHd5UCcm+GMLEQem7oirT w+5GEXR3IDmukTG0aVhSNKgG67i0KEp416p9B+E8gRq/sXiHbXCWxmf8G+iNyBCAGkplle02 RdfHLXpwC8Hw+EtM4Zp6vnX5fn66PNw9Xl+RAGsiVUQyuCOYE8/bR46zvgXfok07suCbYc4L nhMbtkH7JeaKwAPxj/nquMK41EawuWhugQoVeVNB2C1pDmxpnPCglHJzBbFdpQ7LagNuGwnq Wmjm0zPkaZWrGUEncTtdiCmA2PFmNOchC/Od7PmKZ5YlmcN+hqrKyPaYs2ni98l/CHxm5F2W 6AO4aLzV0SzHya/HcLuHnfwB21QjwbXswLnK3G1lqhnsKLz1vm+Tw7z0QAH8me+cu9rBlOUt sQ9EmDCVsxQQh1vtEf6ZxXg4P91lWfT3mgnj6A9MupTkRWwOW0dbW2c6IgiczvqgKPUWcCTO hFTSndYUkV/GLX+mUcy/7MPL4+X5+eH1z9lh3PvPF/b/31h7Xt6u8MvFeWR//bj87e7r6/Xl /fzy9PZXfbCDYFctd2NYJ2kSNXoPw3zKj+UmfyjJy+P1iZf0dB5/G8rkDp2u3M3Zt/PzD/Yf eKqbnGeRn0+Xq5Tqx+v18fw2Jfx++d9lV7Opgxy0O6sBiEmwQlW2CV+HKwtJmEA8PQ87oZMY HCRlVpfuCg0DI/Codl0rXKaLas9Fn0zMcOo6RO/7Jm1dxyI0ctyNLuSHmNjuytHJTBsM1FcD M93Fg/ENg6Z0gjorMf19GJqgUW2abc+YRlms4nr6nPp3qwnxhWccztpens5XIzObEANbfiUj yJsmtNfLxjCyh+2CJ9T39a68ry0Rekj/omnot4HvY5v5qR2BLWvlMrlDpKstPXtl7keOe5hY tmVgWTfk+eiEcjCXkbpeW4uO41Qfoy5b0pad63Bplz4UjMcHZbjKi4jUBaizpkGsO8cL+ZsI KePzi1FcAlt+BS+RQ0+vM5eXwFouNgLA7ydmDneFnSJI+NpdLNn3YYh+7n0dOuqUIHrq4fv5 9WGYGJeBI0TionX81eKDANVbY9QQERtOv9XgovXx1/kj7PnrRQcXbRA43bJ/Gd1HX0XPcIA0 KAjktzEjde1j03Nb+77hxmcYs806sw2HRRNHY9vmocTw1pLj0cxk4YtWlcHKcq0ychctqD55 q9weB07KPvXSiGkUKi+ch9j2+eHtm0kmSAznZAv5gws8HxF4OFle+QvxE4Pt8p0tsf88fz+/ vE8rsZb+UMbsK7iGE2yZR73Snxf0v4uyHq+sMLaaw4XQWNZiQQg8Zz9Z0jI9/o4rLaqWkF3e Hs9Mt3k5X8FFsapH6GMvcJeTX+Y5wXohhOPlouTe7N/QZETF2TZAq9fsFl7HRJf/fHu/fr+8 ne/idnO3HdWxscnN9fr8Bg4vmUycn68/7l7O/5qVNjl7U0acZ/f68OPb5fEN88vZ7gh4CEeG RCz7jGJ/QIw62se1Eu4D6HHJ9MQOc16usnF3ERnmmnGGmbK5BcV+/kqA3Wf14FhbrRHQtxsU EtmxqmU1RAstC7Y3PfVVsq1Vvi3fwE0m7hgIUc2Fqm1bltomwZAmhPsprblHLUP7wI98z3Tr mG3mqgxcImsVLmE3otKaRvsEbUUytLmME6Xv2Aar3sM2C0NnH8Qg9sMSfHddaOlKm4WjeqaS 4O5fRpaapraPT9cjS96VXBtfh5iysOAalCNpoJpqLCahKpPm0imdTFarVBE2H+DHWwCTLN6V h+VcF5V3fxE7mOhajjuXv7I/Xr5e/vj5+gBX4UoFfimBWnZeHNqEYIZe/DPuEuXqgNPY2DCw wykg2+jvtOAcAB1i7LEGTySbS/PZYEd2jmXpOUS0qg51/5mNKENOVUQqMHzfxxnVa82xtI1N Vf/cperMsCmivTaih4AW4MJdoZckT9JR3uPL24/nhz/vSracPEsLyMTIa4FkAI7EyzRRayGQ bUJP8LJne7ICy1nF1PGJa8UYK4XYPvfw35qpj5HeiQNTnhcpBC2wgvWXCF+IZ+5PMe3ThpWc JZYhJunMfE/zXUzrEh6D3cfWOojlHcTMV6Q0S7o+jWL4NT90NC/0bzZwVrQG91D7vmjAFmKN OTWR2OsYfmzLbthmIOg9t6mxCrB/Cdth0qhv2862tpa7ylVDi5m3InW5SarqxJYpKTLiB/1W kVNMD0z0Mj+w0bf6KG+oPJmWWIronnfDp73lBayua2N1i3zDdMUN+2Sxe/tz1SSrD0yyaj+2 /Rgtd2ZJ3D1xPmDx3U9Wpz5rRvlCQvArMok7ofdFv3KP7dZGn7jMnPzSJP3MPnpl1538vHXB VFtu0AbxUTbIRJhWbmOniSEn2rAupl1fN0GA59NUh/TU543reeugP37udkoMDW2SUOadisa7 BCt2QpR5hjJ97PXrw+P5bvN6efrjrE054uyc1ZXkXaAY1/A5Fdzex7Jreq4wHLINV99iEukf EiavPslNF0R8/oY4g3tawqvuuOzgjn+X9JvQs1q33x71HGEVLpvcXRmsIEQHwBLal3XoO9gm C3iYWsB+aOg7i2HByGsLtVQZUUeN+skVnz3NwcNp5Lus0bblYFZxnLGo93RDhG1j4K/00jUc O/jhbGxu2ZYr2b/XQK5z32MfKfRVhAczidvAU4OZKJDBalpLDvqhSXmeltMlsSf7TT+elSIw aJ2I0C8lVq1Y0uSkpWZ1n1RRuTPpACLIpdaF8bZTa1jZqpnioHaYtCBKdOaatGSH3Soo61aS N1z37z8faHWvLfrg7V3EhBqH9Pb14fv57h8/v35l+masb9bZdiTKYvB6NefDaPx6/SST5LqO OwK+P0CqyzKI40jJMGI/W5qmlXI2PwBRUZ5YdmQB0Iz1xyalapKa7VzQvABA8wIAz2tbVAnd 5WzyiakauZ2Bm6LZDwgqN8DC/ltyzDgrr0mTOXutFcpNCnRbsmUaQRL3sgU/MLOJUwkGAEWT 6F4L18KoGZtDh82TmnVDU978hulSqGx8GwOyLA5/WOpdxWqgdY/QnU09U2b4tTyDCJtVWXfg d3b8s9eNEawX4VhmrGsrz2DVLFDHQzVNAaomR4wG76m1uD1QATsen0fJuYtQTHjmFW2Jxg4k o739iC9sixcckxAY+zJAzzlBUkaf4TK7IPYZhdBreGAKietUN/TzIcHzMFZ8wG81frG1lYSn OWnz7ET8uDcYn1Gu8EUNENO0DBitleEH8eJdTYw4TXbeBNKSFGw+ouokeX+qCk1MXLbK4CW3 RREXha1k0DZMUXHVYc/0O7ZiKDRS3SuVLjNXH9qkytiaYOwReGeEVwt8du26ZuVpnSC5g5Xq KwzfdflJQBMuMmPxEF7D6Qz9Mmx4lQ/Adm6uFagfKgtsYcQ5KBLoOslnyc3D4/88X/749n73 X3dsa6kH15bOm2DjGaWkrgeDJqSGk4gqjHN1Z3wRYGWGpmcwCwSsMuX3zxMgzNnRHp2ZuOnm EfcyMXORuAxD1bO4AgUoNBmuIrXmduUWMUJrFClDT/W5PGOjdenNdmCujafOV94WSoW2nmMF aYlhm9i3rQCvEFMvuyjHprSZZ3ilImu3H4jedDWwI+BYR7fjwHUBrnnLEdwLPQLaUPjiHH7M oS4OuRTIvdb+6EVML4VURtmC0CdpvCTSJFp7oUrfH+OkVEkVOWY0pirxE9i8LSg9zUvu6kMx iwK0qGs4Ske+ylgbpCnxKSfwsJubN9UqlpEO5s64/t111KIGM6WeTYMG+yteZFVA1Dw10zap NkWdcHBb622YUQiziw5wXmvDMyWexTI+Ha9ywtb2PEK35Lyx5WFl2XocZ+jWMnV7NXw5lNIt aSRaB/3CzInX12itJT6N9uVJbIfhWqM1lHbSSJ1pXEvONOQQhuqrnpGKOwweQM13MVCPqMdZ hmyaUA1fNBH5pc0i1JzCFxHLNtxhcDijBqck8EG6E1tNlt0v6CotqldOaOuNYlQfXXE52HRb qvZmTKqUOJaa9Y77vlNpKTlxRiT1Sq8ET4+6uZsyWqkZZeKRppJLhmrpgCTRvnB3+geibO+2 wxyCzKC8VszU+JPa1JF3IQIju6l/k7y23UDrOEG0VeI2Cy2NtI/rcjreu7789/vd1+vrH+d3 uKd9eHpiGs/l+f23y8vd18vrd9j/vQHDHSQbdoLzRnDMT5vLmQJjB8vPBXaSadiZRs8IZ3q6 +6La2Q5q98A/dJEStbvTzl/5q0Sfi2lHeJBIJfM8c1CjKzGrdPtKzbqiZUPjRM+lyhLUZG/A 1r6WC5Dkty58PqQkdLqFMAxkMUUZhzvXnIvaJJZtpzoFZ6RTthWzpggAGv/G7/T0b0t04SHi Oy3JyJoM5CoRBCwfWIU3CZZqxni7f7d1hhL8MPVTcHOlLwDnawjEc0qbBAvnpPKJ8+vRjqUW g4HtDL/e/Xn9efevh5f3u4ef79ffnq8PT5eXP3jwTri6fTSMiDHfmu7Y5pZ7PvsP5wynhf/x TAdNEMXE4c7/q0zDR2LEpDOd/misbM3DPQsv2FzHLBYC72FG+4UyuUXxh2XW1LW81bL3Fru2 SYJFVCke+Uo4neNOLQddexqPy9Jky4spM5B0pi6wanxJfvdXi3kVGttPI1Fp6pZWyZGafIGB 3ley3YoZLbBTfa7ISYHi9zRePszYa2FZaDzHiWqqJN81eyRrxsaUfTnhYY8eO0N+c/cLuf1x frw8PPPqLI41gZ+s4PZT2hwBLaoOyrQ8EfstHtKDM5RlivcpR2vDqSUHD/A5jfAmSe8ptnUE MNrDFbJe22hP2V8nU5risCOV2uiMREyipHBlQGQ7jpjeJ6da5RVDRKOdmEzWtZqefbhdkcNV u3qXNFK1/pRSJmAqtVVzA8N+2XEep31h1VNJuyTb0CrWiNtKS8nS8Vt3jXpKdBE9sjUF9ScJ YEuTI7/w14o7VaN9lpIXBSeLxg9NG+zECJBPZFNpHd4cab6X7xREo3IIi9wUGj2NxrBzMjGJ dblJk7xoMaWCg8WO8tGiJxro8EeJT7ETi2EAAV4dsk2alCR2bnHt1ivrFn7cJ0la3xqo/Nw1 Kw61qbMz9sGrIleFLyOnhXdBoPOHgDv0sJono1FVgKNQLbcC3hDpkpuxRYEiQpk3VCUUFdNy tKHKVlQ2FaSFLPkSEUaTkkeZNCQ95Z3eoJLNHHDUZOq+MiU5t1SIsM25mDVoRjq1tJqABZFO 44YbegV4zKaU5vhWmHM0CcFV4wFlEsBWgcRUQVZqmR60Sa3KtE7egTUOqdVr2ol4S8LqjG08 PhUnKMTI1FDjQGPTTQ1xq9TxvmcDO9PHXrNnWlojzm8MuR1g+ezL2lUF5kgpvKxViR3Ns0Iv 40tSFXpTZPgUs8VRn3GEa/B+f9gsvq9AIlZvcBTA/zIvjake3WM0UEZW9sk0FNU+wDRh1EAk o0yFd1LHJOKY/lBv+mIfUdOdLuDIa1Mgs5kWLmLwGzFgOKQl7U0Xm8DAfs1NjkkBZxobm39J 3e+jWCvdkELaDAITNFVSkSZ6+e3Pt8vj/7F2Lc1t60p6P79ClVVO1WQikqIeS4oPiTFfJihZ zoalYzOJKrblkeSak/vrBw0QJAA2ZN+p2cRRdxNvNBpA42va0Mn+T3PCnmJmecES3Pmhwb8C uOxt8XZQxba9r+SkJeMFqxDfOlT3RYibrfBhmdMuI3dxpYdQb2XSFIW6onZIFasPqQVteKQq hbwnl8PDb/zhavv1JiNeFEIE243hpisFoOB6aTwVpCbSgDkowvp4voCv7uV0fHqCm60BPK0o UBVHKUDtY1X9xtaxrHZQ1+dOrHQX0iFHFt7ByJf0LPzi914YreYL7LPCWZZwN5JR07Je34HT frZimpG/VQkRs5595nmVZavR1jg9c8a2u8C9U7kEcaYT94rA0k+njo1Dq/UC7hUBdn2Huyn0 fNx7oufj19WCPzWEgO34C9RzrWOP1UdijG7ErWFcuqjCzlLr2ML3FrQuWqe21AHcFWMatBwv GqBATrTUgOjqWSSF6/ZxZYY82xrUj5GN9QPu1EY+muN34YKr3JT2tXd3WJu4O7xNgKkhb8ls HY2PEXUAM56Qej/MaB0Iy5UhHdhz9E0nr2XluAtnkG6LtWT6qvI9QMMZfFYlvruw0MsGnqxA xRp0BZ0WLhaViXFvqsCeLoYdGBPHihLHQvEjZQkenUfTO+ys/O+nw8vvz9ZfbBkrV8tRe4P+ 9gKvPRBLZfS5t+j+0jTXEkzfVOvLNNnRXho0FYACGpuXoZ8aJgAogBlCtGeT7h0grUN1Ovz8 OVSuYMqslDtlmdzemT6jvJxq8nVeGbjrkBrOy9CrDCn3Lm+DQdNK+AXmw6mIeD41vePq3lAG dP4JpggXoe73WHsdXi/7v5+a8+jCG60fAFlz+XF4usBzH/ZmZvQZ2vayh1sYvfe7Niw9upPn jjuGmjJ8E/OUFXIFRLV4XywLK+01HJ4YHNfpw6lrWR3hwPP9EMIAwPsR3PEqpv9m8dLLsAO9 svLVO0sgQOiz6dyaDznCsOgSB+Lar3Jyj+1dgEs5FbXp1XRaonDN+XS6PIw/yQIa5gmQsi01 goR6oITRQfgjS5MHBOOsirpILDodbvj1CjCG6aEiK025ZeAigxEJuxsoysBCEl9xHFAZxatl eMul+z2Ud4w9J8y/K1gGPWc3RyHTOwERvECjB0R1zlLptU8nwaa8x7+bTfDvZpM2esigmBDM eWZAgWtF1vfp3J2iAH2tBAQ8WcgPaiQGA2DHGQosas8Q+O8apySu78zs4ScxSSxbxedQWfb1 +rVCuC+BENpREfw5vpBg0UJt3AxVZMZX25KJOFNkrDGOkTF3hk2WTqxKBRdQOTAorhRlEFy+ Y9w69s0wOwQGT+Ys5FcXgkOo6b4Ye9jQjFLHQl9WdSOCzjALGXWU7s4tlM4jzA+yClO6DUKR P8WnWyqAtEQJgJBIl5CAztUOJQVejxs1D3siwq6ZYlkeXqq/q7ECQncgyJTgdB4SbtjmdLzY HDYFq+XCt7He4LxhlDkePehpf6GW3/P10vppPliPWh1kz69PPyrimoBEJRH32swCVTeHcIJp nNybdKEBc0MRQdFwe4GZrYaAllmT99OfzT8gg0bx7gXsiRzquBuU1Y01q7w5pijmlQzSL9Md F5d3F1glU5JO7aulW95O5mNk3SsL1x9b2OyEkWeA+mwljGiZ0pDXYWJbzvf77DYthJV/fPkC JvPVYczjZiGt65Xqjr8b9zySGKrjKvo/PKBC16J69Jkuw2xLkK4RULnDGTxz1J15dzNNOJzN 1Vp3DuvyzSUEHmJIlYNkKWu5iUbHV3gOLyVH7jMfXivJl/h3jCqdHPOPewL/3aFLEOXBm5qR +MTb7NoX0sp5ezCZzOb4WAIsKUMEkzilCRI/jmvtJkgkW1nTG9mVu/BK5t1asEfrEpk/imbM PiJhSy5z1i6uSuZHfHVKNw4KXD7nslCIgvfpU19kgPMA9/slBP7Er2ZkEey+TuKLqz45775a rWBP2MjPtTYMZDNSCQUbUmEWl7cqIwCwC4zhqT6xQKK7fT83vFNhmfixcIDADv2pBN3l7bSC lRv5NBZIaTS1lfem4Gx2xSGXIxj0abSIBmmYbeQatGTcS7VlLsGrhR1X6J8xDzG05iK7VD02 bEF4Hk7H8/HHZbT+89qcvmxHP9+a80V5uyFiQbwjKkq6KsP7pXx5SPXgKlavMf0cPCQMGjyh G9fhXo0W/nzZ/wRXKu0Wxnt4aJ6a0/G5uYi7BAHNoXK49Mv+6fiTgfAcfh4u+yc4dKDJDb69 JienJNh/H748Hk4ND5WhpSl0UFDNHEszbNT83kutBR173T9QsZeH5kpFukxnWiQzmTWb4MV5 P4v2PTyUkf7hbPLn5fKrOR+UljTKMKGsufzP8fSb1f/Pv5rTf47i59fmkWXsGyrkLvTT/Tar DybWDpsLHUb0y+b088+IDREYXLGv5hXO5u4E7zFjAvyQozkfn+AE9N2h9p5kdxuLzIG+qPzN ljuEqCOvzf732yskSfNpRufXpnn4pYBZ4RJ92u0Urgeuf+1EeDwdD49KuzGQInzQZUGZg2cQ 7iingDbBK244bWJ4R14hX02LTKUGaP32riEtC6OFH8XhIqSOipUHCym+kGQxLRL4AOKXjjnB v2v14rWcWwnIuszx1hMymoffgG9+5dlJGGLy9nyOkX1ViHlNXZUwIYgL/jZelsa7la5FGAhH AKBcg9G32p9/NxcMGkrj9Mnu4qT2djG8ko/wrojiMAkgZ9PB4k3h22PDU+rNHY5ZHu4ir6oj 3InhNkGf0FKDpN6GWQCuIoViuRYW+lR7+I60G/NFXMjuLHekiDO4HxenDP7T8eH3iBzfTkqY 1n5NwPjSyPfiZJljJ5xxnqYbHaZ8BYrz8DBizFGx/9mw+wEBz6x05DuikmHOcmLnz9FwD1I2 z8dLA3DEyLaG4eh3B8ydah58wVN6fT7/RBIpUqIYOozA7GFsQ8eYnXXYZ6ok3plR8KgQ9Fvn c358e3m8o4urhFrBGVSxfiZ/zpfmeZS/jPxfh9e/QKc/HH7QRgw06+mZmh2UTI4+1ucYm38H i8Sj8bMhlz8VPh33jw/HZ9N3KJ/bCbvia3RqmvPDnvb87fEU35oSeU+UX0f9V7ozJTDgMebt 2/6JFs1YdpQvraG5X1fxYEzuDk+Hl38GafaaCqKZb/0NaoJgH3eL+odGQbeDY1jzURneivnZ /sSC3rcsHseePSenG8YgTOnSLiG+SEJFWAIkuweHHrgArCPg+6+cJkgCXXg3ZB4pCXmE0H2Y XomBV09f3zrcKu//w13lMxuEJRD+c6FW0TDIvSIM8Vf521qp9C0rIt5iMsc0dSugRiNtiVgI 3Z7lOGgEr15AC33bMooqY5DUOr2sIE6VN6CT1HXlKFItWXiraY5QeYm508fy078YdrCbKJId rXta7S8xUebWNAj8B/wbWL5BSiW3t63UXGjzUrj8vxFBv1GLJXIlMH47EVsWIXfiFvRZIwvx Z8Mmtdtg7BJnIuEytwQ1jDQjylddLUGVWqaepd7uLFOfdji7ZkaBID1bDmsVeI6MihykXhmM p9r5HiVhx92MI9+9SJ6sLPvaCbQ2qgQDTDEDD+5CNP7NjgQL7aceUvRm53+7scYWGh3ad2xH aaU09WYT1zVF86Tc6VT/YI6DJ1DOwnUtPcgyp2pJLPDbiXTnT8ZjaURQwtR2JQKpbuaOZauE pafiqf4fzj76UwF7YcljbTaVQeb57zqOINgmYMQlSagEraICC9RbqA1ir0SrBtp83tJ6XZdt wyQv4ClYFfra9kCMsN1MxWBLKt+ezPBLIcabY1qTcWRnH9C9yn0rJSym8sxI/cKZ2IqrVOZt ZrgHGMMM2cIK0bka9Ua/CAVXx3hk515gq7RaT6dkeWgEbC1K86ANydpxKiY6BnRSqQCMSuhM QaNWRFNrrPZWa4/sRHf9u4dlDMl6FHK0a2nClyHxvSRE0pS+aO3V1ydqwQzM1I7KzadfzTPz leY3GfLorhKPKvR1q5xUbRlODXcBvk/mhuvG2Ls1BGSm5v1sLF8GQ5ZxyQ41VoWqg0hB0Kvt 7ff5Yic3y6Bm/NLm8CgubeCUyKdmKEMpHipjvrCpPm8au1+6en9/NH25B1PSJkHkQDKEFOK7 rky9hTpgamuAmiDOazVtexrJBx+83OejB9dv7ng6kfWZ66jLJqVM9HPRnuUuHEwdUc50rqhJ d7qY6itTUOSANYQCP5LJRL1XSKe2Y/BzpjrJtTAHBWDMbVVZTWa2q2gCWgDXnckRENhUF8ij 3cHtlebsTuUf356fRXgidVK3W4Ngk6bKA0ydxy1w/FhkIMttOnQ3NCjNf3AMv+a/35qXhz/d yfO/wMM0CMjXIknENpifbbCDhv3lePoaHM6X0+HvNx3t+6ocd334tT83XxIqRjfAyfH4OvpM 8/lr9KMrx1kqh5z2v/tlj8x1tYbK1Pj553Q8Pxxfm9G504ySAlxZUxQNb+cR2xqP5XnY09T5 KSmT1X2Zc7uvH7fFxhnzIOj4bgHmNv8ONQsZC7EK42rl2OMxNnyHVeYqs9k/XX5JC4Sgni6j cn9pRunx5XBR144onExkZG3Yi40t2dGtpdiK8sTSlJhyMXgh3p4Pj4fLH6mPRAlSG5Dyeht9 XcmGyTrwaWl2aGesN4AHValPoStio0Gz19VG1iEknikmKfy2lcYeFJnrBzpNLuDb/dzsz28n HqHkjTaBVKVlGltyqFj+W9eb0S4nc1oIw8C5SXdTxRaMsy2MtSky1lTdUtUJSacB2eEqxVwB 7gTOsMeG3RR8o+2u7Ka8YLOzxipKspc4EPgLW0yKgCwceWAxykLdhyzX1gz1cgGGuqT5qWNb c6yrgSO7jNHfjhye14fXLq76e6puZlaF7RW0bt54jL1X75ZxktiLsSV5zakc2Z+OUSx52ZI3 lAlB6UWZS2P/G/EAJUfykynKsfauRRRg+GKo2x2UruqElGzp/J74+HJFpz/VEIZ7gZaJh2fL cs9yxpgZnhcVHQnSUCpovexxS+urElsWWgVgTBQvR7pfdBwcN6SqN9uY2MpusyXpU7LyiTOx 8JAgjGdwIxZtXtEuxt2IGUcOEweE2UzZcFHSxHWwAb0hrjW3pdOGrZ8l0Ck6xZHDYYVpMh2r NjmnzfDO3CZTCz3W+077i3aPJWtHVU1wz4v9z5fmwrfniAK5mS9k3232Wz4luhkvFrJ6aU96 Um+VoUS98yjN0aBj+lWhn1HwaVjlKd2Fl3Qlx4d16juujaLothqWFQBfz0XZdLYYJOvUd+Es 08RQbQ/BLFNHWZVVuh4jCu0K3kkQSvf1qflHO5ZnG54NvmQo37Sr4MPT4cXU1fLmK/Pp9rpr bVTH8ePGusw5yLlcDzQfVgLxTmn0BRwIXh6pMf/S6BVal+xhktj+GbqTBXctN0WlbBMlgQpu nuHy+J2E2BsPbK+JF1axYl+PF7oQH5DTVNeWj0kDYine2LA5mjiKHoHt0djC3fyAh+uYqkh0 K89QNrTctF6yCZSkxcIa49ar+gnfYUD8tbdTg6iNZTGejtOVrAIK5YyX/1ZnTVBQU0XRfMqa GhIU2aBQGrZILNku5b8HSqdIqNLBnZlT4k4trKmB4cwGikND05Gpau0qdyKXdF3Y46nE/l54 1PyZDgi6khg0em//vYBDjrydkrW+wmy77/jP4RlsZXDpfzycuZcVsh9jRpDh9WwcQGiluArr rTqel5aNQu+VEXh7jRVhUkZjFC9yt3DVODcgiU+SbeI6yRiBK+8a7mp1/399pbi2a55fYXuO ThFpaFdhWihNl+wW46mFNQhnyWZylRZj+VSc/ZaGaUX1m2qgMYodoI2EFVmklFXSOz76g84I BZ8YSDH6bgc4HNKhCqUhD+QizlZFnilgnkCv8hy7KWKfhGWkJkILUrfR/dRE4HGmIW77Ng1l HDT6sw1IMrxcBdGKWq8T6YEC0CLvJlS+P+5Pj9jnMUjTjZArDghBenCV249kKm14Mcyfhfc/ 9BeKQIpIUkeV8nwcyOxJPmblApO9W2evQ7ilUN6ykHcYdrpHU4/RCyrAfPRqcJCWjQE9KUmt FAD6bEJToRo0rFic8jJPErU1uP5a34/I299n5lrQN3frWA0+WpLvUU9s401ydr+F9dP6Js88 uFW2df+uvh3p5+2jCZrCB0TW2F00iEAnxelunt5CjvLA5UXchUlfUGNGxc6r7XmW1muCdoki AzVTBgWUlHZ8oYPPqEXximKdZ2GdBul0qu8ohW5VukJKANwpaA4GqwaDvCm9bk72/pxi6HGX TbkSwotzGWd09NEhhSv/oZdmEi+zbRDjcUNlVCzxYlj+2U27frRyTPg6BNetdDBW13ejy2n/ wNZgHe+IyNE46Q84PqjAxZ4o8JQdAwLSKE9mgcUOpfFtLuWSfFPS8UgpJE+wKyJJCHnbz5Eq KwnyRVAYOtGQukJlSaU80unoKdmgJe8zqXAf/U4Aib8izgOHDd8dHBcrCZ8YAGlLAOykY0hc 5kg6T2MCupoheAlNtU5XpfjG32KQhEyqDemmFyEqw/B7OOC2V54FbL38fFMkskcJS68MV7F6 r5tHMsdc3iDCFtuISEhr9AcDCoLAtBlA/yocDmw2wGSQWOsNrmMkEY8hyuEFqQlASvZHT2md FzI+cZzv1F+wrmjRIUgSp+qLEErgV9h+VSbqiC3p/zMlcBVt9ExD36fLbH278YJAB7QSmyd1 jef3QAfwbGeaUjYSPLCkqRVN96KFVxLZB4iS4jz1FLfbcFfZJhdeynOu8CYmXhnGNF+am4H/ bcASQ5Mx5IEHlNtNXuG4F8AtcgJxCX3cPx4kSnyCASvPIBIaHROlYVSB0J1X4kMemOaITauI GFsW4jroTGFAVOWgFQTtncp2Yv46ZFEwqnBVmoA4OuFyk9XEy6gcs33xAnNpc2U53yO03/HW 7rMLIwhhEUd4sbI4udJukW0aOnLjyI5/YLWrK6ygcSw1Ov3R5OIkrIHPH3p1lmkWgBfKvYEf saCW5X2hQ8FSBtS5wqy4iOjB9wKdEHMCM+aVZD3OwBxtYNLIsowA7vcAN8Q1U6S5n/bmFoQW ab+A0U8racpCx0a5jdKq3ir7RE5CXYkgBb+SOszbVHlEJkpIFE6r1V6MNoAmjHUdRNaAuMHq FOqpgOAaQyjBmv65+n0v6SV3HgvflyS5gkwtCYPhiDmJSSIQnphVx5BEGtLmyIvhmxB///BL ieJIfI9OcnWIMRI8bTLMYSGxjkmVr0oPjfXWyoheHXycL79BgySx4VUQk4LZgeM+thXhlQq+ UBP3a7AN2FrWL2XSeVG+oHsFkzbYBNGAJfLB0+aHlzn5GnnV16wy5ZsSKmPKdXvl0UtWIaue WMPxbPkW9Ny8PR5HP5TidJNRhAiS5icl3Zi8tIBJbXtlXjFi4cE765yq+rzUWP46ToJSDg1z E5aZEphIPSCo0mLwE9PAnLHzqkrRXOvNimqiJTqB6b4oCmq/DJUAVx3g6SpeeVkV8+rIVhX8 6fWE2FEOW7bLJyb8pT5/kae0cF7Co3SzCeMFV3iRmRey1cHEXZs/pCyA5DWxl1fKurxSHDPL pwrCwCLUVCVr0/TYmdNMY4h3bbKJ0iu1L8y822w3ucqdmrklkqmYFlRJylgX/DcAwiVgXlNj n5/Yy9OSiyTf846NL69CbvJRubX/Icn5xP6Q3HdSBaigKibV8XojdAEudMGBwKfH5sfT/tJ8 GgiyE4VBAu37M5VIR6ZylH9PtsYl4srYL3NT31Mr6S4vbzTlIJhCx0i/t7b2WwHH5BTdbJeZ ipckUMid4bCLi9cGpCAAy8hMaxMrN1ufjXwwqnjsa2qEoi3TCsHqAEFHMqJVFNt2U1sDPOup AZxLGOdgPes/oSWUhmw9e/tVaJOVha//rldEMfZaqnm74ofFGu96P1btRvjNbSrMgGVcgLC4 o+YfCf1NKdpPQYcAqbvQu6mLO1jCcEBqJrUpICqHmc8WUlNBBkZbT8U9V3o+nPsVECLDsBgw wQ+U79oA8/PAM6+Zxnm6KAyTVHaaoj96HXM4H+dzd/HFkuBiQAAC+TAbaOLM8CkgC80+JDTD b38VobkBrkITwvtIE/pQdh8o+Hz6kTJNcT2jCX2k4KpflEkId77ShD7SBFPc210TMniuyUIL 5wMpLT7SwQuD57sqNPlAmeYzczvRLROM/Rq/21aSseyPFJtKmQcBw4x6tyzm74WEuWWEhHn4 CIn328Q8cISEua+FhHlqCQlzB3bt8X5lDG6Iioi5Ojd5PK9xBIqOjV+VADv1fDCMPfzQU0j4 YUI3Ye+IZFW4KXFEik6ozL0qfi+z+zJOkneyW3nhuyJl+L+VHdlyGzfyPV+hytNuleOyFMnr PPgBc5CccC7NIUp6maIlRmLZOoqkKvF+/XY3gBkcDdr7kHLU3cTgaADd6CvlE4BoigzG5SQn 9mnKPuNfP6zp+9Ggur5ZZgFhAGn6bsbv4iTnc6n0ZYbblrkrs2pYXZpqsWU8kJFNm7u3HXq1 eBnt7Hpg+BfJ9aZhj4ANlg9uu0E/TWmhPW3aDGToskOyJivnlswYqZ8zvVZvqWkiu2DGw6Yg oC6GCtomr0G2bDCKY/iqnRRpS24AXZPFtsFTkfBarkKywscCzbQL0SRpCd3rKVFbfUOiYCzk 88qkvLpk/OfQ/zEmGqyIKat4M1/WGcmn4QlDHs7b4vOvGNJz//L387vv66f1OyzY+Lp9frdf /7WBdrb37zBV9QOu9a9y6Zeb3fPm28njene/IfeuiQV+mcqLnGyftxg6sP3vWgURaeYqsw67 Hy+HsiqtR0lCYT4Bql3IJ1P3iNFuGaTVTql8lzQ6PKIxVs9l99EGVTXSMmBIl8SG1ZhWZvf9 9fBycvey25y87E4eN99ezUgxSQxDnovasHta4DMfnoqEBfqk7TLO6oVp2HMQ/k8WVnZDA+iT NqZBY4KxhL7erzse7IkIdX5Z1z710rTN6hbw8PFJ4cAVc6ZdBbc8VhQq4Btl/3BIslZEeSqN Y17z89np2aeizz1E2ec80O96Tf+67Cb/SZh+i75bwNkY7rryYbOBaTnPytHPrH778m1799vX zfeTO+Lnh9369fG7x8ZNKyx1WEITrm6n/k4ceyNM48TnvzRuklZ4YDjWrtKzi4vTP0b/nbfD I/oM360Pm/uT9Jk6jHkE/94eHk/Efv9ytyVUsj6svRHEceGvGgOLF3BvibMPdZXfYOQKM2yR zjNM5RwefJteZlfMSBcCTrcrPaCIgi6fXu5Nm47uRhQzSx7POB8njex8to8ZXk3jyIPlzcqD VbPI454a++UCr5mPwNW8aoS/bcuFMbHOtGJdta4vmBnHahJWwjLpBbXeP4amrxB+PxeF8Hny Ws60DbySlNrJfbM/+F9o4t/P2DUihKym+5FzujXp/Lm8XljFsBQ4ysUyPfPXQ8K9Owob704/ JNnMw8zZSyC4KEVy7p+lyQUH00P2cRkwPjkg+jPdFAnsJGYaEcEG7U74s4uPDK8A4vezIz9s F+LUvzMBGOw/IPFTfh8l4sdLDXQXp9zVIxFcAwwl52yrscXv3sphaeU0qvxrvJs3p3/418+q vqCoQincbF8fLa/j8ehrmWEAdAj41BkUP5wmUfZR5vMy/MpfE5DNVipNN49g0pLovSGKFLRI Lj7VoRg5wtteAhUc51HawPn7CKEcCyVstdIJaTCl+9MZ/Xts1pcLcSt4JVYzichbcWy36OuQ Y17eu27ENjUmIPPYsvCns0uFD1tV7Poq+LS8kl9fnl4xksXSSMZZJDMVM4L8lqs4p5Cfzv09 kt/6nEh2OQ+KtjV9gzTr5/uXp5Py7enLZqeTLHA9xdpPQ1xzsnfSRHOdWpvBsFebxDjFi01c zBsRJgqvyT8zLASVohN9fcM0i7L0AJrNEfuGQ6i1lZ8ibsqAIcehQ40pPDLsG1agclW5b9sv uzWok7uXt8P2mZEq8ixSJyAD504pRKgr2ihRH6RhcXIHHv25JOFRoxh9vAVT2vbRSWDQWmwA /SC7TT+fHiM59vlR/AiPzpDIOaLxjnaWesWeuVdDmYm5aARrzZuoRFfIbG3eMTRhUdFhVKMR jz37cH7ktpHd6RrT5dhDDXFZYmVLlkTlWuV7geVmr51EeRxdHIO88IPpKLDUejzMr32d1sG7 DoGivSmKFJ/e6NUOi/ayyLqPckXT9hGRmX7AFx/+GOIURjvLYnQ9kL7NnO/CMm4/oQfjFZJh c8oNWl8YmADjL9Il91TMcb99eJaBanePm7uv2+cH0xVMZevusOq2fIhsssBZpEhhS2PRwrbj ibWD2k90Qw8pykrR3EivzJk+uvLgmdWILPk41JdGoggFGaK0jOHGaJaW24ogN1ZmLiPgwBSL QBhLpiOgQMos4/pmmDVVoR1TGZI8LQNYzATdd1luHjBVk2TGlsPC8ulQ9kWExSeN4eCbr8j9 NrEghnZxH7k0Bg6H28vcyfGpo0DEg9Sa2G0QD1nXD9YrF2pw9p9j8RanYcQAY6fRDf+Yb5Hw MjIRiGblyTKIiAKmiDgoctvXVWyWBc0ipd2ac2VkMVFKqhWvVCZVYQyf+aTpljR9GqEYgeLC b/FUh0s6t9z/buVt5EBNVytjGLcV27LpcGVBDfcqm5rtn+k85YA5+utbBJtzJiHDtV0SzEZS xFvN/SwT7LoqrGgK99MI6xawiZjGSMkItxbFf3qt2Y+L04iH+W1m7DsDEQHijMXkt4VgEde3 AfoqAD/3DwPTGKO5FTSXoa3yykoXaELR6PSJ/wF+MISCX51+DP/MxIm2reIMjrCrFFamEYaf P7q3wvFlhglKENVaso41hCfm5JX0SUpcO8Chi5FzNg4R0AQZmly/WsSJJGmGbvh4DieKySmE wwBS15tKX3vzXE711KbMWi9NWNaJVfeFaJdYsInsRdzxVPdDY400uTQP+ryy2Bj/Pnb0lLny PNbN57dDJ6wmsuYSxVDON6+oMyw6OzIKBohiCBxcbMaq0VCStK6MG6KFSbRGgcbHcm5fEmNa Becmt41yWiQh6Otu+3z4KjMPPG32D761lqSEJdVkti55CUbvLd7oIR0wsYpGDld+Ppp2/hOk uOyztPt8Pk6WLNLlt3BuGHvRQVF1JUlzwZtCk5tSFNkx/z0QG6MKxcW0aYCWT6KObm3wH8gv UdXKyVAzHpzF8Ulh+23z22H7pISxPZHeSfjOn3P5LaVYejAMI+nj1LLkGNi2zgNXuEGUrEQz 498JDaqo4wuhzZMIY9yyOhAZkpZk4Sp6fNzC2DFmPmcNzDNFA30GreaTydc1nGkYymy70Deg ilOzgOQs6CmG+WPYDOwf01RW1cC7oFQCJs9Kp9CWHGybxigBogd/IbqYf29wiajvGPHHBmHR 6OoqcyMz5QdnFUY0SxdOv+j4JNT/LOf8YhYMUTs92Xx5e6BaSNnz/rB7w9R8Bo8VAhUs0DHM unEGcLSYy8X8/OGfU45K1hJy2dT0ZybXBroVlsA35lzg37zjSdQKrsAeweFyyOZloUubOyVQ jg7e7qT0OXa7jlEcWidSXgFjY8apiCdTet1hwmLz6Va2gVh9hTkrP6L0JlHTzM4DfaValbxi ikjgsLZymdrGDGWl4jF/2MhwmzYV32eMszxyXMgwrkB4R95HmoxbVcKTS7TDNGqZQH7JYaf4 /dKY4GktnUh6VQdy6hCcSYlCpmUSPKJkI1eF/+Wrgix7rmuyS9NE7E/rOagdc36yFBNSuQjy YAm2rw4OlMFMlTcmUW4pcKd4L2USTCP/fOp5v0x87kzjQhaXlFZMJDqpXl73704wFe/bqzyT FuvnB1NsAI6L0fumqszuWWAMLu+Nxz6JREmj6o1qn+g809djpntDBqpmnY+0hANMv1+YhPQN 7mkiSKx6+cFcI/zYsOhhx3Qgf7ILubqECwKuicQtIzaG4B+bR+lCB0f+/Rue88wJJJnYeRyT QFtwIJjeXpO/EtO2y4W4Ess0rUMPVIoPQTkpbPORfFBCn4TpHP7X/nX7jH4KMN6nt8Pmnw38 z+Zw9/79+38bmd4whJrapXp6U0ksQ/CsrsZQabZb1AYOOLh1UPnpu/TafIxWrD6V/LI3JE++ WkkMnGHVqhamjqS+tGqtYB8JpR46Og7Fq6S1BxhA2iBxxpl2hQ6OERRVlHnbPE1r/tc4wWQ4 0VWCmbaop7CvOoxEIUVj7N80dk4H+T8W39J7OoztMT6CMhaMf+hLtBICc8sHIuYykFdQyLeS Ed+N4+yrlBru14f1CYoLd/hw6gnk+AjL3I5u7LLNUIy4SUH2GV8LV96SQyI6gc+XmEhSx/5b B0egx/bHY9AUQE7KRD7mLmrinjtN+CUGYspqpsGTLA4I8yfMQJAEryeSxsdD/ezUxDuLjaD0 0ow70kntrE670wknrZSnG0aStrU3YmcQ29DIwHUaO7yAiyCXwgOFJFKeL2NbArSMb7rK2Kol JfOEsRiXE3HdrC+l0nAcO29EveBptO46c+ZKNkDAoaAMMCCh4Xu3Q4KB27QASEn6iCtlxeqH spUJKduO7dOQHh3cElVUnoDorewVOHU41zLDnjc8oykV8oZBivb3rfYUwLgUtLKl52Zcbmfe eeFa3lv4XHOsvkJzCQLB7CcaOkYi7+UjBIsV8NUxAltbUJSBvAxy5dTK8zTy90NbgvC4qLit EMFBC6umiqx7ntgaLsoSM+1iMTH6gZunwSUHVjxKKKXyIxMR5UsyEVIdlkC9O7Vn5LL6DGQ/ fKJlTWXZtd4b5CxK3s5K926xyWhjTdYwltDk95+nhPmAY7b2TlmOjekFLEypByRyerfF9eBf d2KsE6gWbOZN8qS+97x6oq83fEyjpM1/ypcTQwsoeCLjZXRGp1K4PSvAOe1k9i+Gjt8htIfG jrHyufNear6hdpv9AaUaFNdjrP64ftgYLh5SAwNFC+dRTroZYtzAKYtmSFwnWTPaLnOfL5OO j8fBX5AQAjpKIC0SkQSxkRawSGYLc0oToctf8GY3jRGuhZIevJDF2BYmrk0bvGsDX5Cy68dz 1gZKQ1yk1xhhfGQO5Pu4tBlwgpamauP6xmt+CYiOLdVL6NFybgLHF3q7KQBTseRwV/s+UKua sNdk0wnjMd3PDG7PMEWDNtYOr48wTdDLirBZwnmdSHZcGtnvCHJVSM3GhpJHFQYrOfConrkQ 9HdYVHTZXZkrM8tKzKcZOGfNJmZZU4DmkDorpJLYuIvde5YDm0UojkpFjFlMUlSJ11iRFjHc 5JxepptDzcs2ielfBt57AOMK4K3Akk9+Bef963p3xwr4tO3hlqCnJ1+GUlH78SzvlUFenYNe i84ByR6G/wP2DDvBv64BAA== --ansgxnt5rhi6jub5--