From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1752894AbdC0KFu (ORCPT ); Mon, 27 Mar 2017 06:05:50 -0400 Received: from mga09.intel.com ([134.134.136.24]:51674 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1752178AbdC0KFk (ORCPT ); Mon, 27 Mar 2017 06:05:40 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.36,231,1486454400"; d="gz'50?scan'50,208,50";a="1127521504" Date: Mon, 27 Mar 2017 18:04:34 +0800 From: kbuild test robot To: Deepa Dinamani Cc: kbuild-all@01.org, rostedt@goodmis.org, mingo@redhat.com, linux-kernel@vger.kernel.org, arnd@arndb.de, y2038@lists.linaro.org Subject: Re: [PATCH] trace: Make trace_hwlat timestamp y2038 safe Message-ID: <201703271734.qpxCam2g%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="TB36FDmn/VVEgNH/" Content-Disposition: inline In-Reply-To: <1490561829-15618-1-git-send-email-deepa.kernel@gmail.com> 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 --TB36FDmn/VVEgNH/ Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Deepa, [auto build test WARNING on tip/perf/core] [also build test WARNING on v4.11-rc4 next-20170327] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Deepa-Dinamani/trace-Make-trace_hwlat-timestamp-y2038-safe/20170327-150010 config: x86_64-randconfig-s2-03271627 (attached as .config) compiler: gcc-4.4 (Debian 4.4.7-8) 4.4.7 reproduce: # save the attached .config to linux build tree make ARCH=x86_64 All warnings (new ones prefixed by >>): kernel/trace/trace_output.c: In function 'trace_hwlat_print': >> kernel/trace/trace_output.c:1168: warning: format '%lld' expects type 'long long int', but argument 6 has type '__kernel_time_t' kernel/trace/trace_output.c: In function 'trace_hwlat_raw': kernel/trace/trace_output.c:1202: warning: format '%lld' expects type 'long long int', but argument 5 has type '__kernel_time_t' vim +1168 kernel/trace/trace_output.c e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1152) /* TRACE_HWLAT */ e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1153) static enum print_line_t e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1154) trace_hwlat_print(struct trace_iterator *iter, int flags, e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1155) struct trace_event *event) e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1156) { e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1157) struct trace_entry *entry = iter->ent; e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1158) struct trace_seq *s = &iter->seq; e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1159) struct hwlat_entry *field; e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1160) e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1161) trace_assign_type(field, entry); e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1162) df001907 Deepa Dinamani 2017-03-26 1163 trace_seq_printf(s, "#%-5u inner/outer(us): %4llu/%-5llu ts:%lld.%09ld", e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1164) field->seqnum, e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1165) field->duration, e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1166) field->outer_duration, e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1167) field->timestamp.tv_sec, e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 @1168) field->timestamp.tv_nsec); e7c15cd8 Steven Rostedt (Red Hat 2016-06-23 1169) 7b2c8625 Steven Rostedt (Red Hat 2016-08-04 1170) if (field->nmi_count) { 7b2c8625 Steven Rostedt (Red Hat 2016-08-04 1171) /* 7b2c8625 Steven Rostedt (Red Hat 2016-08-04 1172) * The generic sched_clock() is not NMI safe, thus 7b2c8625 Steven Rostedt (Red Hat 2016-08-04 1173) * we only record the count and not the time. 7b2c8625 Steven Rostedt (Red Hat 2016-08-04 1174) */ 7b2c8625 Steven Rostedt (Red Hat 2016-08-04 1175) if (!IS_ENABLED(CONFIG_GENERIC_SCHED_CLOCK)) 7b2c8625 Steven Rostedt (Red Hat 2016-08-04 1176) trace_seq_printf(s, " nmi-total:%llu", :::::: The code at line 1168 was first introduced by commit :::::: e7c15cd8a113335cf7154f027c9c8da1a92238ee tracing: Added hardware latency tracer :::::: TO: Steven Rostedt (Red Hat) :::::: CC: Steven Rostedt --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --TB36FDmn/VVEgNH/ Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICDDf2FgAAy5jb25maWcAlFzdd9u2kn/vX8GT7sO9D01sx3XS3eMHkAQlVATBEKAk+4VH tZXUp46VK8m9zf3rdwYgRQAEtN0+tBVm8EFgPn4zGPjHH35MyOtx93VzfHrYPD9/T75sX7b7 zXH7mHx+et7+T5KLpBIqoTlTb4G5fHp5/evdXx9vupvr5Prt5eXbi5/2D1fJYrt/2T4n2e7l 89OXVxjgaffyw48/ZKIq2Ax4U6Zuvw8/17q783v8wSqpmjZTTFRdTjOR02YkilbVreoK0XCi bt9snz/fXP8Eq/np5vrNwEOabA49C/Pz9s1m//A7rvjdg17coV9997j9bFpOPUuRLXJad7Kt a9FYC5aKZAvVkIxOaZy34w89N+ek7poq7+CjZcdZdXv18RwDWd++vwozZILXRI0DRcZx2GC4 y5uBr6I073JOOmSFz1B0XKymyZkml7SaqflIm9GKNizr0nYWbOwaWhLFlrSrBasUbeSUbb6i bDa3tqpZScq7dTafkTzvSDkTDVNzPu2ZkZKlDSwWzrEkd97+zonssrrVS1iHaCSb065kFZwW u7c+eE5gvZKqtu5q2ugxSEOJtyMDifIUfhWskarL5m21iPDVZEbDbGZFLKVNRbQ810JKlpbU Y5GtrCkcY4S8IpXq5i3MUnM4sDmsOcShN4+UmlOV6chyL2An4JDfX1ndWlBo3XmyFi3fshO1 Yhy2LweNhL1k1SzGmVMUCNwGUoIKxdjauhEpteSkYOuOkqa8g98dp5Yc1DNFYB9AKpe0lLfX Q/tJq+F0Jej/u+en39593T2+Pm8P7/6rrQinKBWUSPrurafc8B9jWIQtq6z51K1EYx1a2rIy h0+nHV2bVUhH39UcRAY3pRDwr04RiZ3B1v2YzLTtfE4O2+Prt9H6pY1Y0KqDj5S8tg0dnACt lrBN+D0cLORoBrIGZEHrNQN5ePMGRj99h27rFJUqeTokL7sjTmjZMFIuQR9B3rBfoBkOXwlP KxYgo7TsZvesDlNSoFyFSeU9J2HK+j7WIzJ/eY9u4fSt1qrsT/Xpem3nGHCF5+jr+8BOOmud jngd6ALySdoSlFVIhcJ4++YfL7uX7T9PxyBXxNpfeSeXrM4mDfjfTJX2tGAaQFv4p5a2NPgl RmBAi0Rz1xEFDmseWGAxJ1WuDcypYyspGNvgmNpIBEbRJ6aVW3PgakHzBy0AlUoOr78dvh+O 26+jFgy2HTVOW4Kp2UeSnIuVq5654ARcX6ANbCtYPFjHnf1BFl1bpsAHIAtgiAyMm1Fnx7rJ mjSSItPYliE2kKKFPmBtVTbPhW8PbZacKBLuvATXlqNnKwk6jLusDGyENj/LcV9994jjgWms VMDrWkS0PCTPYKLzbIAsOpL/2gb5uEDTnRvkoA9YPX3d7g+hM1YsW4Cdo3CI1lCV6Ob3aLe4 qOyDgkbwoUzkLAuckenFPGnVrSGRBKQBpl/qrdMGXi8V/PM7tTn8kRxhzcnm5TE5HDfHQ7J5 eNi9vhyfXr54i9eYIMtEWykjE6eZl6xRHhk3Kag4KF/6DEfeIF8qc9SFjILqAqsKMqGHQeQm bar+uiZrExk6hequA5oFvDKAM2vYbBvTOhx6kr7TaWbsBjOXZX944eU1lGpOjY8DR4O0Re81 azju2wvH1QJqra4sG8gWPXCftOitGptLgSMUYDFYoW4vP5zAQwOAdNFJUlCf571jwVoABMbB A17MjUbEwEvVAkhOSUmq7AwSgokvrz5aij9rRFtLe0/BQmcRYSgXfYewgdcks9ZzDDXL5Tl6 k0d8YU8v4DzvaRNmqcFbqLPD53TJsoiLMhwwSFTWh2+gTXF+Es+unxikyBYnLjDC4VHmNFvo uAVNBgDC8HrRg4MvAO0MT6WlBrFU/NDAhBcIkOuGZmBB85B6uBEOSgHsoUaHTe6ixYZwGM04 EgvbNbmH26DBg2vQ4qI0aLDBmaYL7/d1aHaEn7BpBl6+/fKfEV9np5ABfas+QwzTq8wx4D4b RmiBXTkhoEHPKsCtrBK5HUAYJrBsGa11fKVNkIcs60zWC1gOhKu4Hmun62L84VtHDjCOgbBb uQcJYRUHM9lN/LI55VAzLm/SbrDcyVENwBJ45B0PtHSm9whBT+2pFGULWALWDloVwrADawoh 0Slmt5aibaX/u6s4swMiy97RsgARaJwj9XY4bNxw/qItyxAohU+w4nhaC2cX2awiZWGpgt45 u0HDGN0wzlcXw8aHFXMOhjgMepkIt+dLBt/QDxo2CSgwOgIoQppeZ6z71LJm4TuElDQNi5hc nYXIg5bDiDfM2PlYsM4uL64HDNSn5urt/vNu/3Xz8rBN6J/bF0BBBPBQhjgI4NwIH9wRTwvp o3wkwmd2S66D/cCyltz07jT0cWR8yFPpeHs8i5KE4w9ZtmnINpQidfrfSUW5NvcdhLisYJlO t4SOoBEFKx0Prm2Gdga26tE1zSaCLkz3kL3SZzHQrXxl34IaZeTWHu/XltcQB6Q0LKN9wiRI 0/PptCpYB9AQ9EQZ4sjY2mgB28LwWNrK7eGBGTxcBGaAIgGfOvGqHojBpmAyERanPNLCz/CY 1oaqIAH8QLiDacWESRGy6I51GmNRzToXYuERMb0JvxWbtaINBEwSDgHDjD4UDCQUAfP0kXUg 7wbu/Q6QAkZt2jnoHJO3hIbOwFpXuUkk9/vekdr/jqwMLR74jPZ5tPkKNIkSg2Q8GmdrOOCR LPUaPCY0V9Cu2qaCwEqB4tj+zjcvgX3X1MDAg5Vo+g/OW+6Lkd6/UQEmu27O2aD4jNeYNPY3 y7Sa1FaElovWyaeOU0uaoTXqQDuV4+Uj7brnDNBLXbYzVjmm0WqOqR9w6K1AraGYg/QwkUsM jDLhgROrfGTlccDJtCWJQPkJN0iuqELZknHTVkzNwSyYQy0axMf+xoOi0bXSyrhw7KwmR4Jo 38RMw+eIwleYq6F9ehwz0H+Xr6vbPMSr0+zg24LiKkWhuhw+wbIDXORtCcYKzSaCI8RYgc+h a7DUCGExxYXbFzAzujtYCcGntxbTeyOPQU8QtGBur/EqKjCudY8UG8Rm+egdfX03ZMdV6a/P yEyf/WJeImjcfiLnQXFlEsLvVtvMWGSKuaHRyxVFVBf1TMv+QixzoMjYGsaA2FPoWIOUQyq4 Wa3/X8xDljiwvNHjKPBMyupkGag4ye9uZLPnMTcUmVj+9NvmsH1M/jCw8Nt+9/np2UmEIVM/ fmBsTR1gjReZ+LTgvmgmc4Oro+ecogH6P1nfd6GMu81x3X2YSNXg5A0ImFM0AqEgHDYLoxDb numQRSLMvb204LrR98AYgyXQCbEScEhrGZHUTS5hlC8zycBcfGqpnXcd4v9UOtlHq9nL1nsM eBk7a5gKpBTwHjD3B814rm9Kdc477CqQbZWGts2MjHFBIf2BJeAPURNHBrQM1pv98QnrAxL1 /dv2YPK0PTwnjWI6kodoCzMHobCHy1zIkdUKAwsWatZb39std1P4J4zJJm3opJgYVAbCQfnw +xbvGO0oiQmT/6mEsO/0+tYcjCBu65SSFZ/cqMrcGA0dggcwMEHfM5dO7kqG1n7e2zcvu903 6xoRvtNfbMggyepyHLOt9FUwaEUNKKCtziVMiRKIiRu+8jjQUeprrFwPo69G4izNamA4rTyQ oDRytd89bA+H3T45glzpZP/n7eb4ut9axzbchTvxI68Dn45FKgUlAI6pyQSOi9QkvL4Z6HgX 69HXV+CqMreN11rLrBBElHnB5NxeDTICgqJVjjUG53IqyInqXnZlLcNhIrIQPo4TSM+O8ll0 PGX2Uoa2c/lWLUFw1MrgwaEcJOR77yAsWDIJUHPm2jzYFYJK5ySV+rYzc69pKMRfLPlp/DFl tuQnQxUc6zTdmWsbn9W7MAD4kQqhTCHDqGeLj8EJeS2zMAGzDuHbbI5KFXKCw11d3boCp48C k6Z9TYy5BrmxWcrLOE1JT4D7sMqr3cI7wqUn6axivOUalhUQHJd3tzfXNoM+jEyVXFoxVn8V hrEILWnmnCCOBMbFCHwoPurpIO1WvqlvzMDrk9aO5mqqTvkYu41yiJgUYCaVOWaah2HnDNwN qAnnbZAMgSlw3E05Bu1ZMeGU6mjGbk7L2l5ZpQuNJMCQ00ZRyms1CQGH9qUoQXxh5rCsG65g esz019Jv2X0M0mFT8BbAPWcde3dTS8fE0OiYooY2AvPVmPjvq2JQZTAqitsv7torY+utZObX 3cvTcbc3EHb8SCtxoS2gWEXgzZJ/vInY/+EKvhcLB1awj5bug6sD2QVFc1R/aJwKbYAHFhkC Oyc6uAqjz4WTEdM7ZCuRVsi6ZX4YWM/vYCfyvOmUX49pKiYx0xQka31lDShkN0sxePb9tSmY AMPX0YoEyttO5B6U+HSt7EPtCsBo6gQVJv40RJ0ZjAVOaD66BZrPDnMQ1lGVJZ2BnPa+CaPQ lt5e/PW43TxeWP+MOaDQggbi6Ws4qVoSovi5uGHtVFJbraxtW0PQwGmItIR/YVDq7+zIofPw nVlQ3Skxo2ru5pkno8UiY7yLcJ2a09xpV+IkR4zoMNCSJg907z8dnL6vPnrg3l+aYrrKqI/b cy4UZtZi7f2n3br3KTbDgINFFYG4Iz8cgVg6W1wCrKmViR/QAF87n22OZGBDG6OCX5/iCbkZ Dx2NZJFLCs5mjbdbZ5Q3BVttGwSDYgRmS8bGhbSEctgSLVem9idvbq8vfrmxqzqmObNQkY5d CLuw5shKCvEbAouxrWgEWGPnRiFzkTj8PIP3TtRgagepWM0rbz+MXe5xuuBg97UQIRxxn7ZO jHwvoxddA+zSNazDvUgsHoJNp02DQY++IDBVw65D/Rss+p5Ct1sJVsdb1qhPaO6ysPPX7gHr H7oU4D1ecTVtHRFE47IloHZMaKwsCMdVY7kc/NVJAitl9zTaPujL4AQuImxa7DB3jbhnYL60 1+QE8kPEKLsaI1Qtc84JagaTV43uiOQRMaEFC+E2c0lgWbP77vLiwsk+3XdXP1+E7+7uu/cX URKMcxGyz/e3l5aH0mHXvMGaNUvL8dbS+9n1F5JWASu26nvSO7xcD6lSQ+Tcu7RBC8QQ7EnA lXB4f132PnOsFqOIBnVFVQhaDv315SP0v/K6G5kdIVelSxVCFc4eYw/Z7W+cjCUimZUh+5V6 xsBO9+E+lbkKlRPYvqyE1dZYGeqJZi/1MX8W5jm5IoN2d//e7hNAu5sv26/bl6PObZCsZsnu GybSnBxa/5ggLF7jW4TQETmBa82j5bNAcm4qV58MvLbS71Okl9m3nfhrOCUtMXKSMTWwDx+Q 9Fl77FLnmTdIf/lv5tcPXKT1Rmc0AtlwiTqLhAFmfICQhZwGCzZPQ5cdHE7TsJzaTzbckUDH 4r5KcxD/U1KiAJ3e+a2tUi540M1LmF3Ehi7ItEMu3EsNm6bD9IbCMTrlAMOOmJg8854PeeS+ UjdInCyG1ZGA2huUzGbgCEj4SlTzItblNgo3H9RKJUCAJeht4b+g8DnOXcSYObR2tjXAstz/ Rp8WkLgzH5oxrGYJrcD48mnNiFk8ACkCduuMJA/419iU2O4NXEz44bpRrjQclpu+kTpUe3s5 xCLiDBugnRar8OcQPqzQ7QNMD+MWzQ7/F3+PoHWqppPakKG9r19wR0RCOOdeq+JM0qDG5LaA kG7GInXRw0HB/wdtgCzY7VilnhT77b9ety8P35PDw+bZS2YM+jnJg2BP9vi8HRPcyOoXzQ9t 3UwsuxLQftC4OVycVk4puFYIRPty5MtEW5euEOhFpa+HwTEl/wART7bHh7f/tArM7DsXVAGT XHCcD7Rybn5EKunMEw/p98qq9OqipKbQLnx04KHQPUCAFBlaXzS7wZa7MhmWGb2sqMYjtTFP 5AaHj9efUV6pgtVvc9W/THGYmVhGB6qb+HJrIlmsVnEozBnhQ28t8Ez9Q8+3h6cvL6vNfpsg OdvB/8jXb992e5ixhzHQ/vvucEwedi/H/e75GUDN4/7pT3Ov5l/1R8sA+pKokEmDGLxKbdnC tIT9m2eMuFuHLYA9SN5lLBhWwggmlO6/4aeHzf4x+W3/9PjFvby8wyRzeKPzmw9Xv4Q/6OPV xS/hbH8DH5lHilF1zHIni3RyDvSv7cPrcfPb81Y/4E50mvR4SN4l9Ovr82aAi/04KasKrrDy ZNwl+NEXPg5bgBk1jAZOmQOsVJlTcHh2cWc/lswaVjsqY8ywaMN3/H03zmQoxsa5+0Bk3DPy /mrMyEZ859p+7epf/vZFLJiGbm+uTUjC3dxc/xLP77mgd3LSaC40lloyRW1tSUXVIDjV9vjv 3f4PMOwh0F5DME9Drq2t2Nr+dvwN9pKETQzMhysMS1pFwwcA7fgCFoNaTiI2EweuVQ2wnwDe LcIzDANBqKdxC+BFXseePgGzKbELO08VKSMH0D0Lh3LLklTdx4ury09Bck6z2AaUZRbWQFZH KnsUKcP7tL76OTwFqcMlzvVcxJbFKKX4PT9fR48k/hgoz8Lz5RVWgkqBb4HDOwxbT3T9RXiX 8YFN7AkQLAmi6UVcPnkdKZyfy0iVonnJo8WvidhCi8eIZ8ifIbVZo1+569z3Bemn0tPR5Lg9 HD0ENiccAH5sBST2DDAPO4Q0fOIS4n7CA6U4PX3F8HG7dDBPVsxQSC7DYsfSCdF81dDrZbt9 PCTHXfLbNtm+oNt4RJeRcJJphtFVDC0YZOs6PfxLE+YPLFhZnBWD1rA7KxYsUhGGh/NL5NUb YeGXYFURvj6vJRidMvKgC+ZhRZhWrlRbVZFbuhyf6mJiMXwJ3Iguo7E3ITgpOAdUjFCun9zp cpeew4tdKD5j+ZWdnEi+/fPpYZvkJ9A0/tmBp4e+ORHfPCffmucY/q2y04w51bn1pgzWo3hd eC9ATFvH8Xo4IsGkykkpgjctEC3pGQvWcB3s6fef1v3ASgMxe40nVlZNKhLx0oycOKy1n8Yx Jej+dwfJXQHAPHXrcgGpr7RfD4EQU02SNyxmSHsGumyC1YKGjIVD/SDdKec37iZgjbFqJix7 Y+lHX9sTmszmwpjDe38PUaxzc2F+d8x+ltu3ydp+BNA3cs7EtLf9fB6Rkf7DJTk+xy3clAYS C1plNPqEWFdv6quiXg0+b16fTRzx9OV1B/Hm1+3X3f57AuHHJjk8/Wf731ZEjHPjc0Oe3sF+ j/cOJ4Kk5UD0LqNOZHxhh/g+Aj7coVjYHbhMrpm0WEY0+nGMpx+15juYEf5TxV4LcOVcgcBP TLXoWguskAxbKuSyykFVsMgVeERhyP4MpPkw7adX3B7ALnHzd1r0qzO137wcTDSSlJvvTmUl DpWWC5BmC0mbRud2tbDfh1aF+/cy8HfXrCJIGIgRH5V3Hm1QRVnYqWfJO29CvTEA/iN75l57 YsupUhV0ghNpHpuYZ/2Ev2sEf1c8bw6/Jw+/P30Lhcn6tIK3U0j5lQLg9dQc28ES+H99ox8I IV9fri6nxEr0X+DP36Vgx0F1uuhN68BY/l3GGRWcqmDSElnQuKQEYOaK5WreXbqL9ahXZ6nX /gd59EjpXmARN3+X8/1V5LPwy9nldOfZVWjXWTgoOJHjKxfq/O7rWiXwrWeWSTgAony6VPD+ ZNraKla6rSDgE+sULGzUViXtq2a08PPNt28YQ/cKobGq1pDNAxb/ThREIBhc4yFgJBrTTryc 5FPx7pv7eP98X7CKnn6f2vGyVRLlPAz1OGYUKyYnBpXnH27W8a1h2Rypfjcq06smctmtN2Xx 8eLaH9bhkFl61RVl7DEOsgCsPW6fIwsrr68vZmt/XaZWeYkv1yI+S9cpG+nQJym3z//L2JMs N44j+ys6veiOmJrmIi46vAMFUhLbpIgSqMV1Uaht9bSjXXaF7Zqu9/cvE+ACkAmqDrUoMwFi R+748xPe8penFxBMgKK5CG0HIi9ZENCykOxXAZVb51F9WN+6dTqEwe9zXdVoB0fJRzrNmNhs J+NGEOv2wVbd/eWpq1nxMU/vf3+qXj4xXMAj3t5oeVqxtW9p+RYjSzPGhuPdwuG2olRrLYnZ Z1loqVuxjaoUxhzUcio9TFc6zTDueKg7ttKltIDRka25RRjvKCp58rKNEjOmxi5PR7yMhAPL XE3sANnaXNxVW7axJCjr6WD+7Ee2JGGJRTTtKPAvkdu3rSSiQgaGNJtc5IEzuv0krqxJORVv jm02Xi8NsHUoOe5y0xVDp2nEEPvV1NANriiCwjshF7PWjoqCp+lu9j/qX2/GWdnKBJajQhWw cGtoa6x2w9Mgdn/8aODmDlDkUpCfS0UqJhmkuEje3K/4P42b1MF6phLjK/slxezJa6ejg6tk v81rS25AwKJZy4j572GmXQ7ghgSHTP8AL+1OpikKoOgaUSSkxXng0cEZMsFmNlUb4MyN462F ggCfJzQv3xc8r/IV5SqhUYi9zERGfQJbKa1Ek19Zk9aLFpuc4jhahONewQ0xH0O3VdPfFr7l xo9GeVDCpDXe2G0A1Mfrw+uznstjy03HmyYWcAQ4b/dFgT8GQ5Cn9JnUFkNjqhC4OXLueyda 9SfjDPlntLCJs00l2lSYJmwR0s5xLcnelrqlJWDVcepKaskKkNdGomq6WwKT8fSuVKF/XB8u 39+vM+lavhIz4DalHUUVeb4+fFwf9YOlG80lrZZv8eKOupBabCVGYZqy0Inm6ls8zduwFDi9 M7+rWXrQQ2N0cKOUwYjuXr1gEBzt6k9Mu4Kb/pzV9GWp4imxmRN93pBd3okTpSbZHspslJ2l G3tATnxIlsXYW015gKBVsoS7SQyhbACok906q0mgXFCGEkLDmepqJcs8vT9Qih2QdwTcH5jj 1i8OjkctlSQNvOB0Tnllurn1YFTfUaq0fVneD4/tfFmeE0FvKr5JtrVFVhBr9DxgNGNT56tS ThKthGFi4Xti7rhEI7MtKyqBkZXofIxKTcOezM95YUnSxFOxiB0vsSjjc1F4C8ehOGmF8gwn 3nYmasAFAeWW21IsN24UOdqV3sBlgxaOFqS/KVnoB5peIhVuGBtC/l4sMTSshutyJZLFPCa/ bIgmPDF04/Jnd5k6A3CTpSgwwQwmep21t8qwLqk7bHFGPmIPvzFa3FnGUcJ871xAugIKA8eG RwX0N1jlG6oPSoMok1MYR4G95MJnJ+2mbaB5Wp/jxYZnwhBL2TJyndEiVVlOrz8u77P85f3j 7ftXmS7r/a/LG9wJH6i7xE7NnkEqxbvi4ekb/lfvZI3aEHrPaLt7uEdlDcnzx/XtMlvxdTL7 8+nt6z/oU/P4+s/L8+vlcaayXfc3fII29ARVL9zQRyp+srR4t3XYc2nZnh1BfbLY25Vh5lAS zkD5C+oGSmD1UXetRFrDxUfVLlPJj7XFguUrS0FEkWUOcJXTRQBDlujbuEGfpK7gAMnQ28dE yvZZ6V+/dXHo4uPycZ2Vvd/2L6wS5a9D+x22fdxuEJaOn+mhz9jGYog+FTJthRWZrPatuYnW VauENbqXq/qhGMzn6wWYoffrdZa+PshdIVX4vz09XvHPvz9+fEiN3F/X52+/Pb38+Tp7fZkh CyllMD17QpqdT8BxyOA641voOYKaOhMIPAbPqcsekWKQ51Mrtza4CgU529KC9mhLkhnto4y+ XzouNivucso1Sa+C5HgkAqXpZYUZhXY7WpLUyKG5JB8EKBkjQI+MTFYGd7dpxZAu7Q2vO9ow MI+oagVAe6z/9sf3//z59GM4s42cPxYyiCScLctepuHcobqhMMASbEYJQagug8QzajnqnLTW v1O3UlvFlI6i4895nYcerWbsONcvw0CeEUmSsXBKZJI0Re4GJ3+apkyj+a166jw/0ToqY6Cn a6l3+arIpmk2vPZD2hzSkvwuo5qnhTMO7Z2e6zp2I9pvSyPx3OmxkyTTH9qKOJq7tF9X19qU eQ7MJUZp/xzhNqONk52wdzjeTZ8xIs9Lmz26pxFBcGMIRMEWTnZjyupdCdzxJMkhT2KPnW4s xJrFIXOc6c0Dm3WQpbq5eEXeGgD6LdyxBiLH60RzREhyPM1r3UnVFPxkmWE2GIQ1nmw0Ayc/ 9JlK42XS2A5S2Y2m/SpXzS/ARP79r9nH5dv1XzOWfgKOVfOX7yZKF983OwWrx7BKmMlPuvIW H7u2KjIUsEXqFgHZu05GG8AZvrOSGNlUJbyo1mvzmQWECobOhuJ+yzqbD45O3fLYpmAsS2DU Bk6qfeBX7BZFLv8eERnfweif8eKR8CJfwj+jVYMofPpjmFFoQLXjt5pXVEf59I2tbS2+92g3 FvRwqtLNeZfq4WYtFCRpcRx1AxBZSd+ALT4p9hTLJdGVSGXUcp7Uugq9w+11n68OmsrU01I6 yvpo3x7d5D/VtU60HYHSljQ6GNOtvWYgFrY+Jb3gBlCUji3WJURzuURtWHQqo2z8qBxCB7Ne g6RpJbCbCk6N6pIThVZ7MfB+V1xalmUz11/MZ7+snt6uR/jz6/iwXOW7DL1JjQob2LnaMIpr 7PDQHo8suK0E6bSRMJjaCkOKpehhGtsShr78ZQXjtqxpngBOY8K3TVezEdLdt+8f1rsi3/K9 HlWPP89FZpoBFXS1whC6IrMk2FJE6FEMLZygUHkq7mxh5oqoTIDBOg2JOg+qZwz7fcJs3X9e BirDpjwO4nQ7fq/upwmywy38IL5JG+6RCdsoeZfdLysVj9PV2cLOSUofOBoBDwKP5kBMopjW kg+IFsRC7UnquyXdzs+160Q3WvG59lyLCaOjKe7uLCaCjsRq4TYo5NqziEUdYc2ScG7xUdKJ 4rl7Y/DUEr3RtzL2PZrnNGj8GzRlcor8gI6b6oksknhPwHeuRVbraIAZry3ySEdTceB4qp3l DOrIRFKKvSXmpZ+4Ju9fk6DqRo11dUyOCR1z01PttzdXFHpE0Lr6fhGU3rmu9mxjCyPqKE/1 ze/hm2Tn7MbGZgl3XYvQ0BEtGWXa0k49zVSPP+GO9ggQ8C16eFYPX96nFBh41hz+5ZxCAtOa 8NowGfVIds9NO3uPkplb2pzt/T3Y4bMCuOeMWRxP+s9nqES1aCq0r8nJJMOme6IVpnHDb9It OpTy/xNfmrDDK4KE8yKTbZkgglkOFpHFTUZSsPuEW/i+SmXgBnFioFQfkBwEiKjJVCV21yLV 13beb3yop9sLOhiru5IF5nGZIJFJBixRYooAR1awXWZ7kEztlNySc3JX5nPaCrK5vD1KA0T+ WzVrBbKWL21cJlqOfOzeMaCQP8957My9IRD+Hjy5K8Gsjj0Wuc4QDtzU4IZu4Az3K8VDSzTI bcbBoKC75DiuqbGrDGobfk54pVUFoKrZsRt1JHxJN3kvhi4p66TMSGMb++vydnn4wHjqzpzc iiS1YUU72IJMF/GZ1/cGA9zkZ0GwZUQTmVpHBf2YjN1OhgkOG9vrHO5ZkaSWu7SsTokyERXW jQgUokQPepoAFQqowLHJ4Q36vLaExFZfKkuCktwi+m3Pm7Sgd9f2vLbY1psnpW2apo5NgEkk CYBVt/nCAOpugGtcat+eLs+aU5w5ne17vOYeAUTsBQ4J1F43G4cP6HTKi8lY/S1qhbNNeYfo RAASlZnYwmhGSWok9Abo/ms6IjslO1u1bGLtS4Lt7ryX0TBzCrvDNMJl1pGQ32jTPVtPiW6c BKkS0kfhSHdxV3txfKJxhZH1R8eU+eiM7VCwBe1tQe/A3tajgmtfXz5hSaCWK1BqP8daXFUe h6sYeJIOUO16sDfCVPdowIml9LtlpzZowdj2RDmndng3zEV0OtEf79B2TBN1N/xwcx39Xidr HAB7CxpCJBp9RMOhcCUTE46WrU60TPYpPsP+v64Lsrdja5WkJaZjSH7Cp7dOcB+eh30YVbyz 6B8Vemd57rlBwzaBRT09TvALtj1mKsvXOauKijoBxkQ/080y256/uD7lo9JQyJcc9oL4ojTE 1bsCj/zh7dnf6P27fV15CSGjxjlXDp89D6D88ez7B7NzndVL0caoSDhPtpjz8kA/pCFJlLKO ylYs0SIfVYpJJWy1jZ9bVu3A3EzVSou62RybNI8ESCXSyiszO2+HldwGhTDSiffgg65018HN yxFd77QGcEqE3R4MN66dvwgNt3yUm2Dlje/xxif5wc75dUyOLqFiOhvM7zB3HIeCmjZ4kCi8 OeWAWR4TM1QZeOipYGjMrU4jku1apSOVE0Qtd7bGsTN19OhgRV3MDQYPUcwhos+pjsoBss3M rHo6frs/VDWZWgaptnpafAS0XzLqar9hMRRglk0qvRNiDtBftB6e7sfNF7Xvf+He3I4x47Zh XQ/eKYDdaYpacCwX90a64BaioguUhhdk3bEe3RvmMMTRa9OiaRsWoFKRg4meTXCXS6c/EBCK CeFMPbSGLffdg0bl9+ePp2/P1x+wA7CJMpSKcO+QC2K3VCpTqL0osq3Fdt58wa4GaAk4SxbB nPJfNSl+DHuHKBiiiYJlcWJct5MhoslUgAH8JkKUxuzJvhbrykgT3QKhSfqUdvI9Os+9D/N1 zaBmgP9M0i5Zfe4GPu0o0eFDWunb4S2+LhJfplFAK7EbdOxaEqHITR9bvA4kUlg0UwpZWpQv gERHFVplJU8SYIGZ5TkPOXXooLGwjxngQ5+2JTToRUjrThF9sEStNDg4Ykb3inQZs0ywYCXh 64kHg3yBfvYHJipoAnN/+QqL5vn/Ztevf1wfH6+Ps98aqk8gB6Aj1q/D2hkeOMNNp+HTDJ8C lk6nJnM9QFLxU0MSSxDigGyZ3IOEntN6TaTNyuxgn9vJA6Qa2RL0NcUSazf4KZls/+7Oty8I kZd1RoUFIFKx5+3pkP0AruIFBDVA/abOgcvj5duHsf/1dg0jtzTguUC1oImqEzQOHDr5sPr4 S53hzce0xWR+qD8bzeWjjA3ncRofvf9FchisHAlq3MTHSwbjrOwxDB0Jnqw3SGwpDQXpotnk Wen5JDHeeZwL6qrjfOxyhLD/YJqgy8fr2/igr/ns4fn14W+yupqf3SCO1XNHo5ozmTRqxjf3 +C4dWqitaeA+XmfoOgzzDCvpUT4BB8tLfvj93/0c47aBuvpZwvh4ruuR5SVuxrU1hTCwBYNx 9aFTw285WGRV8v32QfW9D6viM1Qs6dfLt29wlsnKRotTlkNPzDYhTq/I451GmVb0SXyZcvqa UegT9xzaGCrx6dGWY06iUcdl63+bHmjsnqvQu2b4zRpzy40pkcX99iRtXLZvgpD8xfWiwadK WGJ7PvoUpl63cNISfzjFASVuS6R5rHFY3p+aaUSbxmAqzXpXkRvHlPyjBqCOo3FTp0YFkL5r upt2d6hsyPXHN9hC41XVODaM15SC47K3tTJJt+MBlaZ1i3tyT+BZuy4ZW/80qreBD9szJFrF QURfUpKg5jnzYtcZjVO5Sn9inDxnsKrY7l7UUp1jCq1q3yQLJ6AvcbWSub+Y00xp01gRBg75 hJTCH4twIFZL+HGTi7vsXjbKVvZYxr5Uu3du7KPej84QKw8sCZZ1bLG1q2kvzrkl5UEzdSDi pfAfizOJJNqlzLc5VattUKXJAR9lGlsn8E2Dt9v7oWTc84UT9xN9dNthcj/989QINOUFOE5z mI5uk21JurJU1ArvSVLhzWNP/0iPcY8lhWiOSr0l4vny3+uwEYrtkNnr6SYoAmEorDowNswJ bAjjnBigMAV1urQ9cGwQW/zGzQqpdW9QeL6lmb5rQ1hL+LCVGY2MQseCiK0ISwPizJkTmOVn L3LMR17UqxPJgUwkLnH4fI6ezaAHnhPhR55H40x+Z4jB/9aGgl+nKGrmLQJLxX3JQScUeuKi HZN1Klii97tMBYwa4V1NMRLXPOCx57y4H7dOwaeSq6fJRLb+lsFJUta+skHblZNTvPCCiZrU iTxBIDM62tHN189xzMs4dCyxEg2RWtY3SeKfILHEW+gklliahsT2FARq6tY4QxZ8Wx53jzU2 pG2G/SpG7hf4nNU+K87rZG8Le2kqgnl0I7h0f4aI/l7bLeBVAie0eCq2RHLZONM0BY8jL5ok seoL+u9sE9vzNS2Nek29ko1y56FFX6a1PIrCxU90bzHddkVDO4+2NLAE5m5ALwGDxhJopNN4 wXR7kCay6CI1miC+8S1RLv359KckA+i5NFG72OSaVUfzfHovtk4fk0S7OnBuLMpdvZgH9ABI UfJkfeVocyyNlxrxJ743NAQ12hElbisb/+UDBClKnOryIaTR3KXVpQZJTLSrJyhdx3NN66mO ontt0tD7wqShfMQNCp2F0RALb06mkUjSGro2lUZCUZC1AiL0rLVGN2uNAqJWwaKQHsm7uM5s 3lMtievcpFklpRtsJi7EPlEGLzI6UV3f2qXrUDk26hMnhiwVIZ3NAxNueJTZpiPIigJ2fkkW lneUNV6hJcuDOxDGKANfNzKRGzvBatxuqXTwVmsKE/hRIMaIkrl+FPvYKqKUYBvdit3BaxBY 9vLFtDFyXQRuLMgRAJTnWN1kGhrgW2j3oA5PrmWldbGk02+JNvkmdC1GkW78l2Vi8YzTSLgl lrkjgdbIs+7GXAfkk40tHvXHuFGoDqMOaaLo78x0lVVQ2E071/OIrYC5m43kLR1C3jzEESAR C6qqmsFtTewrRHhuQPVGojza/1ajmNsLW9hdk4a+QLvNAIxP6IS0+41G4i6oVkhUSDMyOo2F H9JIwtCfukAkxZzcBRI1mW5IUiwi4iRITr4bLchzr2TcdyYPvpqFwZyoNNuuPHdZsiFr0E1L GfrklJYRzaRoBFPzBGiijwCN6a/RiZJ6tKWR8XQbYrIN5J6Bq5+EWj4MYro/zQxJGtLHwKQg djZnceSH5EpA1NybOni2NVPKqVzUQ9e4hoLVsE+mpxdposkZBgqQX4lBQ8TCIRaj1B4vDJ6F l/Rbbl2RY9k8iTlAiE1NH2SAmNwogPd/WAqy6eOJsPgPWYwycyOfWHQZ3PNzh1xLgPJcMq+Z RhEePYc40EUp2DwqJzDUqla4pU+dQsBxBKF0gi3J80LiPVtBPyQQdS2igORUgVELw1ssP3O9 OI1viBXCdVyKS05FFHsxgYAhjT1i3PJt4jkLGn46UZ0AjO9ZwhT70zmiMqZ16E3JAuJQqkvu OuQ9IzHTO1iSTI0aEMypRYVwamgOeYLPkNj4IUCHcUhbSTua2rU9eNSTxJ4/tYGPMTDMLsEV I2JhRXg2hG+BE8tJwfFAQkdfEl9EcVATXLlChear7xoS9tSG0saaJNmGkDpMU5PNC6hb+fL1 2ttCXX3nuKTA2z/b22tOFWiC4W4pKqqPLRIzUMvHNetdzgX1gfYVQ3znFEQgfj7mgjLBUfSr JN+pl2xu1SwfFxJ88KDNZJHGnFDId9TJHPltqVFTCHzXNaqlSLBMtmv512QD7X0hCAc9GDes e7axRzWZryt2Tms4CCuxGvp3GQT9yulXKlD4c+eEriVvX43opq47DUlbnOiH+szyVKvHfYkV qig421C1dFSf4daT/jtnPORgMBLSxKfbJEaPWI993lvIYGw68LY6JveVntWiQ7XuLXI4jpeP h78eX/9jTdYgqlVNfL/Re2iIrsOICv0OZTVmE0UNhIogxdQxLCmoGerlEKquY5pAw8nnvBur zbhXTUTKGPElz3do9BtjWJLKt6rIkThOjcJuG9ShGxN1ojjnn6h2JAwfMs6wXxowPagQ8Qbc K3aLvEQX3OEwGAQRcDmWcZI6qTgbVit44DoO8B+UB5VYYoL1mjN6cWT7XdU2lWxSvoygbro9 qMURO31JY87IQevy0HecTCztX8iQF7VioVu2z9dx5Horc/AROGzChk/NuwDmU3VRM3eiBOb6 w4q2B8soh47qgrYO+T4wIciRty5GY4wfLaNxy5Eds+yZhp0YlgB4HEUre6lFg9WXN9t8GbQI Vk3GQULwyVWzzReOb5+zbc4iB3cS2QaMv0o8t/lg6zrz6Y/L+/WxP/8wsav5Bi/LOaOmUTth aurp665K/nb9ePp6ff3+MVu/wqn68jrwPWkPOr7L0DMSjmu8NaklA8uZV0Lky6LLvipeX54e 3mfi6fnp4fVltrw8/P3t+fKi5QKGUtoIYxLpxqlVr5XlMkWZVvsYa2x+AC/nvnoYffT8rlEW I5KGlRv19CSWOkSaV5M1tAQ024kEeUFHpiGyzSKmg1Q2XOidjAy1fdcks1WviEznjSW+6Tec y+Xb6/8zdmXNbePK+q/oMak6UyOKokQ9nAdukhhzMxdZzovK4yiJamzL15bvmdxff7sBLgDY rZyHLOqvCQIg0GgAvTx8ezw/T95fj4+n76fHiZf6nhLyT2Y7VIuQ3YIp20dfTsMpMuhOBnlo jwFUIu2T2nyVf4PhuoKUjGyrshn2ohIzjTcGB57vHy+PIhfgKLtTN6XX4SjeP9K8oHZXc4eJ 5oEMlb20qI1gB2oWOKnQxwwTQsHp1TN3OaXrgN5fB4yLGtCZunqebRKEgfm4CHoyJdMciCfF Xa1RG3l/q3lfiR6SJvDmGzrLeC5ciWg2KnE2VYkeVU2KsNhWIzT8lXuEPpHp4AWZBq8DbaJE izwQRxBvv/Z7o49aIlW9bbyYw/KADaNuv2t0W6jiQKsEUqGoggnvisXK3cFt45U3190/kiJg jacRM0yIR7sgrLjZJomiJ//BDPrM8bGZuIDti5d9hXmecxmvkecGdjd0Xi0AhX3T1JhFkugQ xMV0b7ZI2K84S/qapWVYLhczdlQI2F0Yw6I1eCHetly6jJ1vy+CuptSReY/OnNG70G6GIroG sV7YI8Zus2NWFXSHhqlGZ62k6pmSol8N91RTUIvyr5jvCryu9ubg0WA0TRkVGji1w9wWCPzG JY8ZBSb3TWaRVRSMXHNUOJ4vF3tSYlepw7gCCvTm3oWRR9uFycfJZE+ev3emU2N/7vm2NR2v Gy2ZzcWJb6nTgm2bMKTUx0uNeTlt29kf6irQvjai0ord7Ag0SmPCJYrh5CWw/6KOfIpqYU0d bc5KO3j6sE9AS0NCd4bzZqUkfcXN687cavRYLJrDOL8pT/LtFQwu40/ZM6ws+o5aYZgxyXda FhCMtnaVUd8l86k9TkQywOhCYAwtLOwusWZLmxzkSWo7jImYqEZgO+7qSlPTK6J/5G+jK0Rl /DXPPD48GlY8deeM/0kL29b+Si/2x9UjGrXiA7JaUXcnZbTB80j9hrMnjlXWEcc63kfQH3lS a2YXAwOGhGhkKJGqSdU89AMPHq+K01WVi6hOu6herVC7nC6p96C27C4cEgode+XSr/Uy+IcW VAqT1JCv1k1KPfL1hiauIIb+q3wcQyfVkYXNIDNrynxsxKitgvK1vcyxHYfsQX3XN9DjKlnZ U/IRgBazpeVRGArspcUiZLuFjfGebh1ipI+cwiJlAlkyQIvlgi4aNTXHpQ0qNS53MacdGA0u xghI51oxZp4Gl0NtNAyeFTlbBk2NLltol7+vwsi+mmbSjCAUrN3G6KJfx5cuOdYRcld0qaBv WuTgQmRmM20WWupvWnzVYF5hWzdfI+s3sqzYue50wUxXAZIGPwbPiivgjtqtD3h/j0P1E6GT KuDIOnvEAlqAY0FX0wV0+tXviljMbK57pBY1+20tDMXMxNT9k4FJHYzCRvrNgMo1mjy0DWNP +PnIIALD4dDz8dvpYfJ4fiMCucunAi8VOdD6hzUUlq8kByVqpzAM2oFgwfBe6CA68NCaiWAu PXSA/D1fFZb/TWkBxaQ3Lwq4tiFkHGoOAPwnHLcVftQlxgyn7pd3cRjleoJYSdrNE22sSqoX 7q74ZEkeqSGlMSZILjHDIO0nVOPRehuGYXxIKIYAlchZNAmf5DsRqt57tlMZCGQ1Mfv2IQhi xqw7D9pRRrd0jlHf0hn86d7A8gkHMYJJnvHLAY657tPgTzzs7oJu9NniZF88vDyenp4ehvTW k0+Xjxf4919Q2Mv7Gf9zmj3Cr9fTvybf384vl+PLt/fP5tSpGj8sdyKmUBUlUdBPPe/j2+k8 +XZ8PH8TpfZZ7d5FkIfn0z9Kncqw6ln7rHanb8czQ8USHrQX6PjxRacGD8+YElG2TIl0JsD1 08P7T5Moyzk9Q7X/V+beE8m/Oli07k/J9HgGLmganj9rTJif9fiEVyxnDIJ0fHo9vukclezq yQfeLMHj7+fHw6Os67cuoZ/W3XWTqVsAhYihWQr1UF/F6tBzZ6rB6QjUNtc6aAFqsejKVc1b VTCtQfFmit1jFiuXwxwtuJyOzVksDeZzWDrsbgTW5/PTOwYNgU97fDq/Tl6O/xlGcvcJNm8P rz/xXowIXeJtqFCdu42HocAUCScJqIeBFt9U/7YWypQFUOZijcqcupkN1XgZ8ANEXREfQjXN FFLDAibZvgtsZmAynbfmbaHSDzA110xOd+S7Sas2OJheLtLX/gBpha99jDXZ2+OQ8gr5ktwL xVKCeV5Ezk+mFhsQfuLGiamJhvVhL9qpPmmzRiozTKuFDAq3nE5pjbtjqeLEWlAb/Y4h2xdi 1K/cvdkhsK5z4foQ9tIQBsdIYntBMfkkhWVwLjoh+Rl+vHw//fh4EwkyzdZkebOLvIZvysqi tmoI7TbRaJzs0rvNmj7KER8m9RzmrAXhJqTtmESjmZtWMc433mZ2pdwgLsumOtzCEGN5bvf8 u/082NLLqGizDGJqfBKFoWgzIou+D0/vr08PvyYFCPMn5V6xZxyJ3wH5Esaw/50up2k01SXb wAN/e1WOgVF3u701XU/teaaHClDeJDOEHKpF5Hoe338tNwiM4pDcWlOrtKo9c2494q+mc7u2 kohMry16V1zlm/0Td9mFJv7b6duPo9FVUpWO9/Cf/dJVFwchrprUF/JS5hrTRzzMu6LO7Dmz t5cNwCl4gP3DYkafviMXTHFMfegumGRAkideTcnoNYhiKqrY9+QR6HKxNOtax4d6XdCOmp0c Ac136ahbaA1Qb2BEv5VBsWnM92zjKoa/fCbXmphj+2pNORHKamb3YTkSBjJqPy/OY7+NSDsS Zes3UF0mf318/w5SODTDya6VFbNbCbotRs+CSUTRB02jZXkdr7WgDkAMQ+poFwARG2IXVcR+ DsuHP+s4SUqpqupAkBf3UCtvBIhEmX4S10YlECtFstF9lKAR/sG/r6n1Dfiq+4p+MwLkmxHg 3gzbnJ1MlVvjzyZLvaKI8Ow8orcY2O68jOJNdogyUJooE4yulrma5Ab7OlpHZQmlqyeUQjEI Gt8zalbBDMZQbkwlUg+vhcnIhfjxvOCmi/WnPQWPtIs/82QdJ6Kfapkjcjwgf3aRSoltIH5K sdpwtS5SWqDgg/d+VM6m5FEUwF4ZGG3xQAJB/9MLoxhsVc2C0LkWFTIHIRjz+rzRPMHxe23M j3U9KRV+TSsUB4gcnsEoZIKE4tyIdywWL5n4GoAlkTt1lvRFmxhDZuQl7aW8Hoa9X99bM7Zk j0mUgT1BH0ki4u24PLqIxmzncuFVsV+jHGY+c5oA+M19SV+vAWaHjDKHr8zzMM9pJQDhGtZF tqE1rPkRP3C9kg4KJeYPW2jglSlIfHpMw+J22OzruaOqTUDvglxoxPaqTKOlEQyVLE8jU6D4 Lps7G+VQCbuWahuR+TSxqU1+uLFW6sWSQp2SVH0umvoikiqYa9OlKU/TpUXdQfSi8pAE4Xit Q2KQeFXVRtPXESKRel8c/dSAj7Oz91BxR5Zo3rQNyGD30jd5AEVIB/ILKW9M3dXcOtxxKQwH zsoDzZaeb8orx1kiKR7XVaOFGdCShBQzpXEjBrMbqk7szagyBFJ7YU89qnABrUikcB2HrND4 fF75/Lp16lDaDjpumRQU5ocLSx/YsI5VGDqCO0NWF/yhxG2oR7WFzQSTvylvMm1AyGRkcTi+ Atjqh9zwc4hZVZdRtqlpSztgLD06B3uDLxo3DIs2wsJWaL778CRqRugl+IQ3Z5P5CTgoG1qM CZSdQgJtQFukN9CiG6LkJqYXUoTxRIuJgybhGH5dwcXZHQ/LBIgsDp2/ybMyZtIKIkuEx1dr Hk4iw+BWh79yKSzld0z9uKRljsDXJV80FMynMhQM93yr7ryEs6YQL74v+fM4ZIjRAYlF67s4 2zLxU2TVswo0bC7bKbIkAe/YKXBGVEssy3f0lBZwvomvzgahM/HJJiXLvTBR5xliNHjO10zC EeTIMTPNldGBSf3i658YFuuIVpcQLWB/ANMrya8MsSKqPQyTzDNgyqHgSgGYKLTEUyd+mhUl 7ED5V1RefK0Z15LZCryIItzvXymhjmBnDSKT2aIIniYrEmbvhnjJpOIT0wVTXsKOjBdEIk3g l/z+6ivq+MqohelaRVcGfb2FGcVLi3oLG9NahodlmTDP1t2hYDYpUm5ck3Z3cZzmNT9r9nGW 8i38GpX51f75eh/CQnVFaEiP78O2oQ8OxGqVEIHpRQ4SbVnvnxEpT+KxFoBnlE8TjJDHPShs 3DFvIr2ON5Uvctwf8LghidrzlEFLQXykjyNR+KduveqwDTSdw8jvKhO2A02kuBvUgp5e/Pz1 fnoEtSF5+EWnU8G3FVtaQGV5IfB9EMV0pnZEZVx0LumA4PDCDZOVCWEQ87hhpCc/MjRJEbNZ DZo76tgyNazZ04A1sSzuyiq6BR0gVe3WJbHfe2kl+WZ+gkGbRIMNJh0cPolXa73Jibh3l1fv W8x7Ewx5b0LCAAEer8It50qBhcfrFFhY/Gq8R1k8KJz59sBIeWQJ/CVnlJyKTC9QSErG1kO8 gQbEizJPpmaXdifljLU/cKS1klkqBY0NMxnrRieSxrl/ibwK1eX0+Dfh9dU922QVmmeAQtmk 6hU5+jfK764Se8roDf/NB+3eKb5byvR5x/RFKBvZwXYZS+qOsXRW1CFAFt3hRFO2SPhLbuG1 jVJPPfDKj2DyS9yxZaB6Y+65APOrRWMZijrcqLvF85Q7jiw4SBf2jPLRGGDHHT0mzNCpzW+H GjHQBFmmEaA6TMD6FlYWhP4N8/HbgUxagLYo7J/HUYp6TI+MOZApo7oeXcxGJbnOlCoJTyH4 Dyn6gImW2zMsGHcHwcDa2gnUPNSRZaoHQIKiWshr3zucaSarsk217aihcARx5FApqCPDVUGt Aw8NEk1qEjgrS71ulEX0trvjIef8w7Vb9atS6XFlW+vEtlbjod9CxnmjMZEm389vk7+eTi9/ f7I+i2W+3PiTdrP0gUkMqNOCyadBg/xsTEVfZLAe1WYco11F0Zdg9Aj6y7s+Xfv67fTjx1gO 4NK/0Q5vVLLM1jh6T4fmIH+2Oa1baIxpTSloGss2goXbj7yaqQl55aRxBKSNgMZCSJQO6gL0 CAkheu30esGcR++Ti+y64QNnx8v30xOmyHoU5h+TT9jDl4e3H8eLlu9M78vSg005dzCvN4W3 QdT4CkzSSjTaC4IIvcdjUH2V5JIRaPcHmOTo6lsFZeMb0EgbjuQVv8rTZos3cikJyLBQFbQ0 7QrpWyDo0dKZ0TJNwLE7Wy0ZqSgZ7Cljk9LCnMmKhCPbusqwt+m7J/m0w/k0tfD1qjnWVdhM 2NOCZR0ctHRZSMBAgQvXcsfISLVA4jYATe+e1nUQB6yGHROL07odIJNTZ1CiKVn4DOzS1nK0 MI0SDKDgBWZtBUBnBxWVKXeaRo9bTKzKSN/pmCmVR8OmpCF+y+H5vvM1qmy9myWydzXXpY5u Oju19LBqr49Ieh97dVTHFg9AgjT6gS7BuJzTL1jOzUAvCrpY0tfnHcv2PnWNzJ4GB0Y40i7W FED3nNYA1VFaB5ZUVa975bRMZeUE9pJ0C2o54ioBKUC8WgLUt9sDnWiECFY6I8aGAHQnNRVh AT2Ebd/uuVXTrjAtg39rz26oJztvjSvPVqDAr9S7qQ5YpzYMvDG9hGFv0XRHzbmj8lMjIErt 6Yz8ziX69dgjgYPZo9iZLoyzMjyzjPvbG+BHU/TfSoiwsmc28dXhk8wsropQ+VUwG1WyeHq4 gKr4fP2NQZpX5ESdaR45A10zRlPpDjlicFK7GIQyjZPfiIzlnJRVs/mUEiXdrmL8RuGUeW2c 1TfWsvaoGT93a6rZSLcp0QF0Z0XQq3Qxm5O182/nMAiv1K4snGBKdDF+5ilVIrv7UgaPEaxh WDhaP9lRoV/vs1s944IYU+eXP1DJvTqiRlFS+n7PdsRQ60NSjEc2KCLWqAq4p5HuEHQ1wtST Jgma8jFQGR0CGMamiEA8RNlGszNEWu9rvfUwB2ylo3rCUKTkShzUdZWAnqVGXWqPkYG20A4W Wnru1Vi58fcVfoNbfO6QblJFaR4ArQvusC6MCajEzPO3vmeCp9Px5aL0jFfdZ8Gh3h/Ml6Se 6T/QFeI368n5Fa3U1SCQWMw61sKD3QnqQPCafRhXReIpG4mbCiS/a/4+iM3D9B/Y8BtAGOHj s44arL0NSri5orQOtEMJjfj3bNp/oBQbHMQxmsRoNgC1tbghHTAbPdxJg8khYyqaLCIFjvZN lMXlrXIPgCkj0c+rB7TSvIj+kojBzjzImRuepk2u2NoXsDxZVFPKqHi8bHTNHonpGiQe8QBO FcUZTqEO6Qt3p7cLumiND0lb43v6WLgFfYwCqyusLRJnRUM66km4TZ47JnbGxYdBkLR+Wo9v 5/fz98tk++v1+PbHbvLj4/h+oa6GtvdFVNKXJlXtbeKMuorYuwvFgXAsxLwgKrchbajgVU11 SLyCu/JvU83krsvs/dbNl7iummtldCwi7DFz612IrT9jK4Jhgsso4cw1it654Uol8AjrpvBC PvxUn74l9Ar6RVKyplGW5LRhjujNq3UVganvmAtjvMitvfJqM9obD78+lOubOKF7rOPaci0R 1QjSgp7Isp3CSGXHHftInp1f03eu7SJ0tSOLdBwgaWDxU1jRqSi7nX+K7CV1oHfILXPZJKyV DpuUMWiStSoZl6I2vhne1gMliwKardiNzraIZsdMz1dNucY4K0WZ2we/qWvyILUtp8niGkvS rrOSfS8LqCsxgDFIHGGgidXCI7aB0t384SUqQS3iQll+g22Zp1FfbmUieXUoMFWH+kgb92/w Oeyb0UFJQZ0Sdij0Up2PHrvxhQ3QcPBKlZDcoHchLAAynXcnaTCkMmAYALXwtLqKOxjEOqke nJ+fzy+g4mBeeuEJ8J/z29+qMB+eub7xV/iq2LEd2npa52Jy1OlMS3oaKExBGERLxmfRYOPi mahsFfopwACjGYGjjRT1u4KyPVPEwGJExyBZ9vRJtMoSBzaTYHNg2gVay+V2ovP2qF5PL2II GHYUclxU5483Kl4oFBvtajwtdpT9FVB9mJsddZBbIjpnETNRZbfytgPk+W8Y0rqhG9tz1Iwv ZJS2DFXNWBJ4ceKT2apj6MjGDJyxOb4c306PEwFOiocfR3Fl0cUX0Jyk01CWMT6/PT6fL0d0 /Cd2lRGaG7Wns5L79fn9h/mVqjyYfKp+vV+Oz5McJvPP0+vnIeZtqDP3QXGrc0Amn2iyfXyo So+SvBihodaMi5HylbRQLoQaty6j267y7U86bHMLyqQKwvTkkGdhlHoZbdWh8oO6ieLay8jU CRonGl1Wnp6hXmXoo4T9/qVeVcW7cXb1rpWE2cPQJVd0kmiPSzM9PmE8kGfPsarMYz492G+u VffwgXYIfJ18s47XAtTJ7SUXLkFEWfK/6h2U8syIVURbq/Az9SwzRaHAXdtdq/PTjUN8KFy6 hD8+Hp+Ob+fn40WbM37qWWoycj8NLGcqFXOaqof4Db2Zq/sUezYZsAx29WU4VQ7MJEHLdydI jB4nmlW3VbC9PeMBdbOvQirD3c0++HJjTS1F8qawDNiGeZG3nDsOHyQQcCMQ2IC4c/2MEUgr h1nXJcYEQhTxKChXe0AWM0fPDVbfuLbFCHjAfE8/7pNj4eXh6fxDRLE4/ThdHp7wZhgmnz4y vHA501OaAWXFRGdsU2FzGUiDwAIlwTLxbgpnuyjJi6jPE60oZ/ulpZup1MFs7jJxHr29ZS+Y Xg0Ke05mgcTI/F8tWXn1TZnXLI3j1x4b0qnEdJMGhp0W9hQDoobB1LW0Vw1hUunSduuFNW3r J7/g8+sTrFaq6vHz+CzMN9vwL8p3rBMPhMm23etqp4beLRPdc/fVXe0NwdQq4GoG0ascXWW3 p2/dKSxwtTr0UD98Mq2GpGOzwZGlKroHqYcwhrz2EI219Wz1948XNW5R2I7/C4b/EZOCngnO dKHcK2BcSlVmwu/5fKH9dlYztAKpIoNqqzFIirw+aDYL6WJm6+HXYEg7FhngGQAtzRsM8PlS vbGSg0aWL++cofO/fTw//xriALUezcf/+Ti+PP6aVL9eLj+P76f/QyOgMKz+LJJE122FDvdw Ob/9GZ7eL2+nvz7aUCLyGunnw/vxjwQYj98myfn8OvkEJXyefO/f8K68wfwIP369nd8fz6/H ybs5hv10Y2neceK3EWy+aOypFn5VEsjBsbkvc7mK0BBezHXwMF3qjWmpIQf48eHp8lOZeR31 7TIpHy7HSXp+OV30SbmO5v9f2ZM0x43z+ldcOb3Dy0xvbtuHHCiJ6lZam7X04ovKcfpzumZs p7zUN/PvH0CKEhewk1c1U04DEHcCIAgCxl0V5kidyAsW+fXH0+n76f1fdyxYNpvrGQGjdaNf s60j5LXa3l039UxfKPK3OSprOCSYeQyTK1oGIWI2tDKB1fCO3mNPx/u3j1cZ1OoDOmvMXWLN XTLO3Si3s70nhW6Sb3Eql/1UnlMO0jpbRjXhUnZ6/PGujaRpEmOpx14WfY26mtZmWAobVb9/ ZmVU38x1ZwIBuTF6vp5eXVq/dT4SZvPZ9NqYBwT5DqsgMUivT0AsJ5dWKculRxVZlTNWwpSy yeRclr6kTmc3k6l2jSIgU53jfK3ZdDY1rzLLanJJZi1Nm+pSv7uEDbAw43AVZQMDqpGUDBNM 9zBtqU6nC0+qzWYzn3v0ySas54spdQ0hMFd0ckroM+1TIjC66ygAFpdmxMm2vpxezyjnwm2Y p2bntzxLl5OrYadl94/Px3epvpMreXN9c0XbhwSKHiC2mdzckAu81/gztsr1rTsALd7LVrBP dN4LyvXlbKFB+i0qvqUZryrWRg82+iy8vF4QSS17hK46JM8Pf5+eneGSMdx659KLzxdv7/fP 30Hu6wmLRH71qjeNUCc0tMRWVVs2NLpB82NaFCWNFt5l9ulMicCfL+/AQU/jKW08GtXTazKV Lsp9uc7UwivTicytShYNXX43Sk6z8mY6IcRaiQEIP14JccyCcrKcZCt9ZZQz8xiJv13Rq1TE gFXaEXxdTvRzWZlOdQEnf9vCPp2bRPXlUheD8rf1EcDmhvtAv/KcV8FqKC8XesPW5WyyNKTW XcmAPS9pgfN8en601175+vLP6QnlOvr4fD/hAnwgRjhNIrwTShrebfU8x/sbI2pFXcXiZluu 6+PTT1TOzCnTbwluJkua42XlRD+ai9+a018Di1ZnxOL3zLjezhv6kd024/Z7LMXNdbd+zIat vHRH+w8AtSRFnuDISBVWoVnWmHVIA6I7RdxYtbpJKCT0TDKakYC4dDGoxHMIMpN7Ut2G60S7 hmAYFC8JRcDHvPoy1RZpycKNZxBh4fJGC59ryF6BY836yhfgHPEBr1LPg3xJkJbh9NoT1URS ZLz2WOAkvkzqhkFv6beekqYuwrhc0bb7nqLJPJpQj0dLLC3qk/59gqQ8Uwa6Mp1BN3xVsS4o TW+nniTWX2/Ajy5mG26E1UQgMP5tYsSTwcyhFW50GWfYxIzXZJJ9rA8X9ce3N2G8HrmFStsK aG1xrw94G9LNrvOsW9dmeiYD2dYBGQwmzLoN5sxAvFU22oVDZlzE9jeprCSzpAozqmaNCXzv 9wCTloMcL4+v6JcomOSTPEW50TYqZqVUbvOIV0GRur5F7Pn768vpuybK8qgqzGgdPagLEizG vrYdGHSQb6Mk02PTpPigcNuVGdegeYQI43eYssSiaDSXLONHvjVKqxvzB8Y3zIwwdgisi7bq E3cUKZkYcCTSn7JQhcRN5TPvyxk3Q5lIiwLuZCPYKHXJY+93+WmduBMc14N7bHx6fRJ3cE6O YB5pUf/gR1fEsd6nIT4gDGjGqB0s/F6qwIyJGEYB8zg01GGddEkQN1B2Tqn18a4L45Ur2HS4 ciCiD2dFsUo5GeR2vACJE7nsgNNjuMrafNHfqwaPr/cX/1FjZ9l/Tn+DwiBYiu7PGALL5t2u qKL+hY7GmTAldsY06cX3zawz3thIQLdnTVO54LKoMWJnaKSyVsiahy1wROrmBkjmdj3zcwXO f13gwi5wYRdooVRxFobnYXUozTzi6hMDp7dv4X1s/jWINM0Pf9lvlqDcLBDTNMIqnsACAIy5 4gYwEJsP0m0CvD6FnR0XZJnDfLol62N2rgJyAL86Lf7qK8+goGbWIPBnAhCfN6xJ8DE0pVvt VZu037dt0RhOrPtfNhMpyFf+e9W8sYpVXM+scQC9SMDIsoNGjihRep6kQ2FqvcysHgkAjgFF Zm9dBSZ3mkKe2WmCRCw/sjZ6hwisuCpl5GWn/Fq8hUzyrzx0vsc3xZSHgm+Ho8OCOQEKJl/w d0VJjTa6JXeIl5FClTIDqgQ+Uz548Ha3B/AQnVYxYxuQSIDzsjZmEkHfWuHi9WPQjxdf90oD R0wPuKAMG23MFAS9Z0pTjcAMDnG9oBdoDG03VkLY1oafQbGFowk7WF9LDeL+4YcRB7i22GAP EIvbFL09Yg3bvljRbhuKxmG3ElwEuNBAA6z1zOeIwlmuKdhQ1GiSHXFkU2Q3o89wIvgz2kZC SDsyOqmLm+VyYnPOIk3IGJN3QG+StlFMDW9U1H/GrPkzb+h6Y4tjZDV8YUC2Ngn+Vq+WwyLi JaamW8yvKHxS4LEHDlxfPp3eXq6vL28+Tz/pa3wkbZuYiv6QNxanEwBnEgS02jn9L9+OH99f QF8i+i7ko160AGzM21AB22YEEA+ijcE6BRiHA0OAJcAtaGsCUsEZOo0qTrmHbniV661ydM51 u4LtHXgESY8V7aCuO1SQoVWyYnmTyAZrK138scY8AwVZMD58qct179BC5NyxyFlEA2CCDJ4S OxJvZNWCl9LsZm2VDr8xupQHRgmHYGjxKH85pWIopFWj+/nX2JXtakSBHxjzeduyem1+rmBS ugiOQp31DKoo6WOFu6VEGLqw7DAUnye+o00qQtKdq1KnQ3+msGzJqoWqcb7KOyv+t41P7xZk 0emdJ5rnUPfdefxCnOoD4V17d3aAeRbAuZNH7qx1ccVWGc+brhdLUNKX+cAsbU0zS3JYfDqk yOzlW1qA23y/cEFLGuRwwqqvgLKvKg/ukRcJiJgRIfQ91vOeDCZgoCJKgXkjC7HpQteYYZOU WU2r+j3eNWWYeNhyxhI61Fsfp2l9o8X3hb3tBcTSJQzBAHoXHLM3NK/MU/OHEn2GbNTQSrh2 i/mV+eGAufJjrox7YwN3fUlfpFpEtInWIqIs4haJr4nXZnJBC0ffcVtEZNArk2TurX1xpvZf d2u59BZ84y34Zk5F5zdJLv2jcuMxm5tEC8pr0mzildN3UChxCXakDqZ/O52daSAgqStopBFP Kc0hU3VOafCMBs9psLdHvqlU+KXvQzoXqU5B38YYXaMueg2ChWdMLk34pkiuu8puqoDSPv+I xse9IA/IbB4KH3KQ6KFZmYTD2bHV73YHTFWwxghpOWAOVZKmVGkrxml4xfnGBSfQKjhxE4i8 NZOdGN1MPKGJFVHTVhsrFqJGgSeQL71xenN8fT7+ffHj/uGv0/PjeGYQcgev/OKUrWr7XcTP 19Pz+1/yQvjp+PbovnwuKziSb8RrDEPnRoGI8YtTvuXpIBiGM1UGIhX3l0Ox0DRYzGzTly8e PlN28UPOMAqTkmHqKdRPOB99xlyoF3Aaf/hLJmF8kPBXrRejMV3kjkPjIiU5c3wq2u1YlQMh 6AMha7hxMdNTZG3deO2YoGhlspAvs8niWr/SqJIS+AneM2f0VSqLRPlAM45ym7c1j/CboEhN /QWHttjlZM5S2VNDYYPi0atfNFyz7AjCWlqu8MiUsSbUUlDYGDk+RZ5qxiBxOtvBuazvfVkI C45++tbhWuEN3ixvGXobmCaovv0F3gDtONuIxwhSe1eLC6Nio46kP0TXgMMRXc7al8k/2pW2 ToeBmBllMZZtwIPtmDNNBs68iI7fPh4fjT0mpoPvG4wlbtoAZTmIx9ff1GWe+BZGBx8U5ytn kgdMlxddDQyDtG9apBi+2B5PQVLx2IZXBYw/UwGiDJQ0NtUe8JCE0e2vooiBV3oHVxEJbydv Jaic+iuowlYs7l9WIs9/wLdacxWaVP0mV6xqOuwffKbZL4mMZyksSrdNCkPy836riTXf1r7s OpJqS9kFBytITzOkhrE/logzxcuXScAJE8pOp3VVtBYNoXFa7ByuQSPF56KtOBwWvxn6sAkL 4/Ut/vZOYb2WYSWkdRA33wV6eX/8lDx/ff/8qDsvFeGmLanXHKyKXKQhizDfXqYTlp6ogX5i ZGgtMByqYAzB/9sF28RuwbIX3RofoDespgTS7hZYMzDuqLAYCxYIjL2gLxQM/FCxgcRNW7TN CK5hriP7pCmB5oWegDmmcUkp9wfPI6+IlUsCa99wXmqp0XBJjKz54n/e+meyb/978fTxfvzn CP84vj/88ccfWlTRngM2INYbvucOE6qhBjOYcr+FaPLdTmK6GvYEXonbBOISRwgCwzK7Ja5n EACaiD5G4mscuTObu//MO3IqpmXKzbLHr1F+sDIZuDu1QERLYAOBdsotyTGOwSgdSE3U0gQE kmCqkjWf6XFP0WEMDFb7xQ38v0XHnJqoBa9TzlRRJg6FuUxWbpHiKiyhs/tJirDimHwM9I/h tRKIM1K9EEsEkPaqQfFX8ZKjsqorZbVwxRBoR++ypm20wiExsPPOk1cZ8ee+1XFiA6Bnq0fI 0PRIPLbTT9MHSZr/qv4QFkTe0g/7xRceixzi+K1jNuv3+G2vmVZKJ7UmXt7UgjKIllt6Vam1 0fGqKqrx8pgkti6Yqd0I05+HBxmbRB0davF2Xm0sN2BtLnzEMVKPJbzjNpda/3nsqmLlmqZR R7ZY7Wk/stslzRpDatd2PRKdCYUNCMKiiiwSvM0CXirbIJa5Uwhsr+pgAcO+NFm0zZ1Ck91X yA3tR9XiPbigNzg2/Glw2mVydGdoHHrlOOkhJLK9WuPpztS4aKhpoh3JqltQNeJzJFI2nyFY 72AJEgRGu9V8me6S4puuzllpx8c2piWoWA5jClwvTlLrmGTgOCxsjz+bImA57D/kmP2XZOrW gRgWmCJzp8jF9I2x51QqNjZUOW0qHxO9Vy20IOByrXnuJjwEiht5duGZDegun34YzsyqvUPH MvpZbxjw5dKRKuNxPEsKHydW42y4+6HLgh6N3VxMghF0ATDEdebL36nt6v8H5S97IjvM8zbD BosblTN9khOnAq1L8f/xLCxazfHt3VAA0k2k+94KEYcaCZwSKkMQS+FXVHQDg1EcgHLmFfRB A8d2S62TeuNyQR76Ra1rvo/azBNETDSrEaPpT3osqDZA1hR7q7PCSBhbwCBpjIUhgG2rJ+AW oAqOnGsRC85CINw4F/U5qDEX0nR+sxAxMW0VZhT3GEKzTM54+YlKKP9Zo8FSm9Ed1HnmXWPC WpF3wmQDOw5fgvkUh5phZBbSHWE8pK8iwzcef58zPrRBzXJphkruBHfUvx5sgYowL7q89YSM ExTnDR3oft4ltTgx7fSrbQxA2Cvz4sjcGmcZzqr00NuVKddHjF7Y4FpVz/OHL0eUV2vfGVHR o6KFZSVUNP9hNQ3itNVT+/YRiprKcGwWszJwQ1f8Y5xNXCpdcyh5N9lfT8bTt42DwZrSuNaK MGpiUXjqivWAxeqIHmp401w+IFrHsO/S2CJ7GD7lkqU1UX+c1Cvc4hYBjSa0nAxL5nWTKWD7 ZLiS4Zyf2PZXWbzQIc8cDvNsPCuTZLioepM2mXdDhtVDBmtectTHh49XfK3nXMls+MG8DQB+ CtIAtVJAIZcl2Stm3eOR+lptFukDOsJHXsAPXbTGjOoyASc9usrpFmPA1uKtErD5kNoNruO1 glieRarE3jXhTFGdaWQZ+Zp4uZRDp1oRY7bUK0W361AgMCevFEe/QMt6Pv359u30/OfH2/H1 6eX78fOP498/j6+fiJbDXBYHj+uPomElrNmsoFSrgSYtWFQmOTk6Pa63WdOBtwbiA8to51s0 Dqw8TtNq/41TrMcLsbFfPg2uIHs41IpjsO5QJyIom06JErbXrbQSVGrXOmJ5DipS+Prvz/eX i4eX1+PFy+uFnAItzJ0gBoGxYnpsawM8c+GcRSTQJQWVPUzKtb5ibIz7Ua9nuECXtDJOlAOM JBzuKZyme1vCfK3flCVBjb5RRNW18Qqhh0bUJXWP42HkDkDGcrYimtLDZ0QdbU0eRcwPuyip xTWOsF46xa/i6ew6a1MHgZoKCXRHANnSbctb7mDEH3cxZR44a5s112OIKzgeDW3WpDqQtiqT OMoWtTPYx/sPfGT/cP9+/H7Bnx9wp+Drt/+e3n9csLe3l4eTQEX37/fOjgnDzK2IgIVrBv/N JmWRHqZzPcNHT1Dz22TrQDl8BPJ1eEsaiIA+yEXf3KYE7niEjTsOITG5XI+Y18PSaufASqqS PVEgCMFdJQ4ZfRTOtx++ZmfMLXKdmRmdVE1QvX8db7MxblJ0eoTDoFtZFc5nxDAJsHwbSSNp KIxHSm0JQDbTSZTEfozv0xXJ9LRlY4+JQgl9aemJNtvvpogKJDAg3UUJR9c1w0jaCTUbVRZN yTyOGl4PpTOCZ5dLCjyfudT1mk1JYFfXNZ9TKCjdj7yczvzIaZe5+6AvMQuIIegLzKjDn/G5 pykU2G1Zs6qmNwQ3LakSxALqxOLq8mRY01ILOP38YYa3VTLb3cEAk3FQXbBcacRwIFLV6R8R lrdBQlRYhQsHCOrQDoNYexFj0k27MQOFuzGsPckynqYJczdrjxg77MFDv6HbbLv/fcqZnxQ9 paxMohrO3aUCer72unFXoICe+ywiVgXA5h2PuH8NxOLvOTa0WbM70vVE7QGW1oxiBRLu7WUv Yok2KdQvlwKmZydEc1Xy3FUXeziwEz7zj4eiGgf63Nho1LPfIG84lThGIXcFuXV6uG+RKbRn mE10N9+ZRjiLiu714IyI0YpOeozIYZnFeDtHFGw9DTGR1wuXH8o3Jg5sPcabvn/+/vJ0kX88 fTu+qmCJslEOf8vrpAvLiszuoZpeBSI+aevuHcSsKXVHYijBLzCUFocIB/g1aRpeoeVFHt2p c4Cwva59qZ9twro/+PwWsTUuXjpGe55pBzzL90VhXIVUBlGIzNtHF0dKOB0Pcpc6m/GtCEAU MpYNa0CYrmtPzNzxu9AXXX8kucVHkevrm8t/wl8Wh7Qh5t36LcKlJ/Wpp/ItnXOGqv43SaEB v6aUKXkoW3Z9yDKOBjFhTRP2S91ePqLLNkh7qroNkNDlMxju8j/ifPcmciu/nR6fZcQt4QJt 3BjJpzy6za8yLp9dfI0GnNFyJPF831SsC3mFDgvoE01bq4o8YtXBX5swzG222nGyd1NM7pj9 an6zpUNabdcFKBQ5+bhY4jDuFvpwRgnL++y7Y4VBkmMTh4ukPlTat9f7138vXl8+3k/P+qGu Ykm0NOxQQdJUHLNDGVM4mhxHPHWnJrqph15St/91U+VheejiqsjUi3qCJOW5Bwsj0rVNor/U UiiMDIP3T/KuzMVjfi0rlopCecEjTPQa39GHWbkP19IrzHAwHq5yYtQFxUPMMk1Mk0YIDCZp DKUknC5NCvcMCi1p2s78am5ZjPBce9Yw35PAvuPBgT7/aQQLonRW7aw9YVEEpPsT4PSM7kng HufDa4NRtBFeEeBwykAHZ9OiVSyPiszT+54GNAz9YaQGlc9mTbh4bQmirNdldOio4ajumE8u NShVsv4C04CuQxpOlrK/Q7A+YhKCKht1AyiRIpBYSX2WMFK57rFMz2I0wpp1q5+6ewS64oUO NAi/EtV65mrscbe608P2aYgAEDMSk97pORw1xP7OQ1944Jr+qfiB8GVlhp91xdGRt0gLQyfX oXjndO1BQYUaKtBfo7C6LsIEGKnguBUzHLtEUCg9WJkE4Q2q5T2CN8tOLsgux5iphSd7mEql 6Ym/Et3qfD0tAvMX4Qmbp2Z4mzC9w2R1GqCoIv3xWRSZsfOrW7SXkcHuykSmOB9FOfqDpiQj qjGaXqG1fuDYgBEmWwKFIeY643plQImkhNZlt3B9inhZaP2vB9eN/wOIpaarcHcBAA== --TB36FDmn/VVEgNH/--