From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,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 83242C433F5 for ; Thu, 16 Sep 2021 12:27:53 +0000 (UTC) Received: from kanga.kvack.org (kanga.kvack.org [205.233.56.17]) by mail.kernel.org (Postfix) with ESMTP id D6BCB60F21 for ; Thu, 16 Sep 2021 12:27:52 +0000 (UTC) DMARC-Filter: OpenDMARC Filter v1.4.1 mail.kernel.org D6BCB60F21 Authentication-Results: mail.kernel.org; dmarc=fail (p=none dis=none) header.from=intel.com Authentication-Results: mail.kernel.org; spf=pass smtp.mailfrom=kvack.org Received: by kanga.kvack.org (Postfix) id 122116B0071; Thu, 16 Sep 2021 08:27:52 -0400 (EDT) Received: by kanga.kvack.org (Postfix, from userid 40) id 0D0C06B0072; Thu, 16 Sep 2021 08:27:52 -0400 (EDT) X-Delivered-To: int-list-linux-mm@kvack.org Received: by kanga.kvack.org (Postfix, from userid 63042) id E8C1E900002; Thu, 16 Sep 2021 08:27:51 -0400 (EDT) X-Delivered-To: linux-mm@kvack.org Received: from forelay.hostedemail.com (smtprelay0232.hostedemail.com [216.40.44.232]) by kanga.kvack.org (Postfix) with ESMTP id CFF086B0071 for ; Thu, 16 Sep 2021 08:27:51 -0400 (EDT) Received: from smtpin15.hostedemail.com (10.5.19.251.rfc1918.com [10.5.19.251]) by forelay05.hostedemail.com (Postfix) with ESMTP id 88215182976E5 for ; Thu, 16 Sep 2021 12:27:51 +0000 (UTC) X-FDA: 78593363142.15.7F9649A Received: from mga01.intel.com (mga01.intel.com [192.55.52.88]) by imf10.hostedemail.com (Postfix) with ESMTP id 35C256001993 for ; Thu, 16 Sep 2021 12:27:49 +0000 (UTC) X-IronPort-AV: E=McAfee;i="6200,9189,10108"; a="244928620" X-IronPort-AV: E=Sophos;i="5.85,298,1624345200"; d="gz'50?scan'50,208,50";a="244928620" Received: from fmsmga007.fm.intel.com ([10.253.24.52]) by fmsmga101.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 16 Sep 2021 05:27:48 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.85,298,1624345200"; d="gz'50?scan'50,208,50";a="471347566" Received: from lkp-server01.sh.intel.com (HELO 285e7b116627) ([10.239.97.150]) by fmsmga007.fm.intel.com with ESMTP; 16 Sep 2021 05:27:46 -0700 Received: from kbuild by 285e7b116627 with local (Exim 4.92) (envelope-from ) id 1mQqUT-00013W-Rr; Thu, 16 Sep 2021 12:27:45 +0000 Date: Thu, 16 Sep 2021 20:26:47 +0800 From: kernel test robot To: Jonathan Lemon Cc: llvm@lists.linux.dev, kbuild-all@lists.01.org, Linux Memory Management List Subject: [linux-next:master 2102/2463] drivers/ptp/ptp_ocp.c:2000:16: warning: operator '?:' has lower precedence than '&'; '&' will be evaluated first Message-ID: <202109162040.c0V5tqjh-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="rwEMma7ioTxnRzrJ" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) X-Stat-Signature: oe3wkko6jxz5onxc1j1a4fjitzqn3mrd Authentication-Results: imf10.hostedemail.com; dkim=none; dmarc=fail reason="No valid SPF, No valid DKIM" header.from=intel.com (policy=none); spf=none (imf10.hostedemail.com: domain of lkp@intel.com has no SPF policy when checking 192.55.52.88) smtp.mailfrom=lkp@intel.com X-Rspamd-Server: rspam03 X-Rspamd-Queue-Id: 35C256001993 X-HE-Tag: 1631795269-388096 X-Bogosity: Ham, tests=bogofilter, spamicity=0.000000, version=1.2.4 Sender: owner-linux-mm@kvack.org Precedence: bulk X-Loop: owner-majordomo@kvack.org List-ID: --rwEMma7ioTxnRzrJ Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/next/linux-next.git master head: 368847b165bbfbdcf0bd4c96b167893dcdb13aba commit: a62a56d04e63cf0ececb5dd339811f0a14b7e77c [2102/2463] ptp: ocp: Enable 4th timestamper / PPS generator config: x86_64-randconfig-a005-20210916 (attached as .config) compiler: clang version 14.0.0 (https://github.com/llvm/llvm-project 8cbbd7e0b2aa21ce7e416cfb63d9965518948c35) reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://git.kernel.org/pub/scm/linux/kernel/git/next/linux-next.git/commit/?id=a62a56d04e63cf0ececb5dd339811f0a14b7e77c git remote add linux-next https://git.kernel.org/pub/scm/linux/kernel/git/next/linux-next.git git fetch --no-tags linux-next master git checkout a62a56d04e63cf0ececb5dd339811f0a14b7e77c # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=clang make.cross W=1 ARCH=x86_64 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All warnings (new ones prefixed by >>): >> drivers/ptp/ptp_ocp.c:2000:16: warning: operator '?:' has lower precedence than '&'; '&' will be evaluated first [-Wbitwise-conditional-parentheses] on & map ? " ON" : "OFF", src); ~~~~~~~~ ^ drivers/ptp/ptp_ocp.c:2000:16: note: place parentheses around the '&' expression to silence this warning on & map ? " ON" : "OFF", src); ^ ( ) drivers/ptp/ptp_ocp.c:2000:16: note: place parentheses around the '?:' expression to evaluate it first on & map ? " ON" : "OFF", src); ^ ( ) drivers/ptp/ptp_ocp.c:2004:16: warning: operator '?:' has lower precedence than '&'; '&' will be evaluated first [-Wbitwise-conditional-parentheses] on & map ? " ON" : "OFF", src); ~~~~~~~~ ^ drivers/ptp/ptp_ocp.c:2004:16: note: place parentheses around the '&' expression to silence this warning on & map ? " ON" : "OFF", src); ^ ( ) drivers/ptp/ptp_ocp.c:2004:16: note: place parentheses around the '?:' expression to evaluate it first on & map ? " ON" : "OFF", src); ^ ( ) 2 warnings generated. vim +2000 drivers/ptp/ptp_ocp.c 1934 1935 static int 1936 ptp_ocp_summary_show(struct seq_file *s, void *data) 1937 { 1938 struct device *dev = s->private; 1939 struct ptp_system_timestamp sts; 1940 u32 sma_in, sma_out, ctrl, val; 1941 struct ts_reg __iomem *ts_reg; 1942 struct timespec64 ts; 1943 struct ptp_ocp *bp; 1944 const char *src; 1945 bool on, map; 1946 char *buf; 1947 1948 buf = (char *)__get_free_page(GFP_KERNEL); 1949 if (!buf) 1950 return -ENOMEM; 1951 1952 bp = dev_get_drvdata(dev); 1953 sma_in = ioread32(&bp->sma->gpio1); 1954 sma_out = ioread32(&bp->sma->gpio2); 1955 1956 seq_printf(s, "%7s: /dev/ptp%d\n", "PTP", ptp_clock_index(bp->ptp)); 1957 1958 sma1_show(dev, NULL, buf); 1959 seq_printf(s, " sma1: %s", buf); 1960 1961 sma2_show(dev, NULL, buf); 1962 seq_printf(s, " sma2: %s", buf); 1963 1964 sma3_show(dev, NULL, buf); 1965 seq_printf(s, " sma3: %s", buf); 1966 1967 sma4_show(dev, NULL, buf); 1968 seq_printf(s, " sma4: %s", buf); 1969 1970 if (bp->ts0) { 1971 ts_reg = bp->ts0->mem; 1972 on = ioread32(&ts_reg->enable); 1973 src = "GNSS"; 1974 seq_printf(s, "%7s: %s, src: %s\n", "TS0", 1975 on ? " ON" : "OFF", src); 1976 } 1977 1978 if (bp->ts1) { 1979 ts_reg = bp->ts1->mem; 1980 on = ioread32(&ts_reg->enable); 1981 src = gpio_map(sma_in, 2, "sma1", "sma2", "----"); 1982 seq_printf(s, "%7s: %s, src: %s\n", "TS1", 1983 on ? " ON" : "OFF", src); 1984 } 1985 1986 if (bp->ts2) { 1987 ts_reg = bp->ts2->mem; 1988 on = ioread32(&ts_reg->enable); 1989 src = gpio_map(sma_in, 3, "sma1", "sma2", "----"); 1990 seq_printf(s, "%7s: %s, src: %s\n", "TS2", 1991 on ? " ON" : "OFF", src); 1992 } 1993 1994 if (bp->pps) { 1995 ts_reg = bp->pps->mem; 1996 src = "PHC"; 1997 on = ioread32(&ts_reg->enable); 1998 map = !!(bp->pps_req_map & OCP_REQ_TIMESTAMP); 1999 seq_printf(s, "%7s: %s, src: %s\n", "TS3", > 2000 on & map ? " ON" : "OFF", src); 2001 2002 map = !!(bp->pps_req_map & OCP_REQ_PPS); 2003 seq_printf(s, "%7s: %s, src: %s\n", "PPS", 2004 on & map ? " ON" : "OFF", src); 2005 } 2006 2007 if (bp->irig_out) { 2008 ctrl = ioread32(&bp->irig_out->ctrl); 2009 on = ctrl & IRIG_M_CTRL_ENABLE; 2010 val = ioread32(&bp->irig_out->status); 2011 gpio_multi_map(buf, sma_out, 4, "sma3", "sma4", "----"); 2012 seq_printf(s, "%7s: %s, error: %d, mode %d, out: %s\n", "IRIG", 2013 on ? " ON" : "OFF", val, (ctrl >> 16), buf); 2014 } 2015 2016 if (bp->irig_in) { 2017 on = ioread32(&bp->irig_in->ctrl) & IRIG_S_CTRL_ENABLE; 2018 val = ioread32(&bp->irig_in->status); 2019 src = gpio_map(sma_in, 4, "sma1", "sma2", "----"); 2020 seq_printf(s, "%7s: %s, error: %d, src: %s\n", "IRIG in", 2021 on ? " ON" : "OFF", val, src); 2022 } 2023 2024 if (bp->dcf_out) { 2025 on = ioread32(&bp->dcf_out->ctrl) & DCF_M_CTRL_ENABLE; 2026 val = ioread32(&bp->dcf_out->status); 2027 gpio_multi_map(buf, sma_out, 5, "sma3", "sma4", "----"); 2028 seq_printf(s, "%7s: %s, error: %d, out: %s\n", "DCF", 2029 on ? " ON" : "OFF", val, buf); 2030 } 2031 2032 if (bp->dcf_in) { 2033 on = ioread32(&bp->dcf_in->ctrl) & DCF_S_CTRL_ENABLE; 2034 val = ioread32(&bp->dcf_in->status); 2035 src = gpio_map(sma_in, 5, "sma1", "sma2", "----"); 2036 seq_printf(s, "%7s: %s, error: %d, src: %s\n", "DCF in", 2037 on ? " ON" : "OFF", val, src); 2038 } 2039 2040 if (bp->nmea_out) { 2041 on = ioread32(&bp->nmea_out->ctrl) & 1; 2042 val = ioread32(&bp->nmea_out->status); 2043 seq_printf(s, "%7s: %s, error: %d\n", "NMEA", 2044 on ? " ON" : "OFF", val); 2045 } 2046 2047 /* compute src for PPS1, used below. */ 2048 if (bp->pps_select) { 2049 val = ioread32(&bp->pps_select->gpio1); 2050 if (val & 0x01) 2051 src = gpio_map(sma_in, 0, "sma1", "sma2", "----"); 2052 else if (val & 0x02) 2053 src = "MAC"; 2054 else if (val & 0x04) 2055 src = "GNSS"; 2056 else 2057 src = "----"; 2058 } else { 2059 src = "?"; 2060 } 2061 2062 /* assumes automatic switchover/selection */ 2063 val = ioread32(&bp->reg->select); 2064 switch (val >> 16) { 2065 case 0: 2066 sprintf(buf, "----"); 2067 break; 2068 case 2: 2069 sprintf(buf, "IRIG"); 2070 break; 2071 case 3: 2072 sprintf(buf, "%s via PPS1", src); 2073 break; 2074 case 6: 2075 sprintf(buf, "DCF"); 2076 break; 2077 default: 2078 strcpy(buf, "unknown"); 2079 break; 2080 } 2081 val = ioread32(&bp->reg->status); 2082 seq_printf(s, "%7s: %s, state: %s\n", "PHC src", buf, 2083 val & OCP_STATUS_IN_SYNC ? "sync" : "unsynced"); 2084 2085 /* reuses PPS1 src from earlier */ 2086 seq_printf(s, "MAC PPS1 src: %s\n", src); 2087 2088 src = gpio_map(sma_in, 1, "sma1", "sma2", "GNSS2"); 2089 seq_printf(s, "MAC PPS2 src: %s\n", src); 2090 2091 if (!ptp_ocp_gettimex(&bp->ptp_info, &ts, &sts)) { 2092 struct timespec64 sys_ts; 2093 s64 pre_ns, post_ns, ns; 2094 2095 pre_ns = timespec64_to_ns(&sts.pre_ts); 2096 post_ns = timespec64_to_ns(&sts.post_ts); 2097 ns = (pre_ns + post_ns) / 2; 2098 ns += (s64)bp->utc_tai_offset * NSEC_PER_SEC; 2099 sys_ts = ns_to_timespec64(ns); 2100 2101 seq_printf(s, "%7s: %lld.%ld == %ptT TAI\n", "PHC", 2102 ts.tv_sec, ts.tv_nsec, &ts); 2103 seq_printf(s, "%7s: %lld.%ld == %ptT UTC offset %d\n", "SYS", 2104 sys_ts.tv_sec, sys_ts.tv_nsec, &sys_ts, 2105 bp->utc_tai_offset); 2106 seq_printf(s, "%7s: PHC:SYS offset: %lld window: %lld\n", "", 2107 timespec64_to_ns(&ts) - ns, 2108 post_ns - pre_ns); 2109 } 2110 2111 free_page((unsigned long)buf); 2112 return 0; 2113 } 2114 DEFINE_SHOW_ATTRIBUTE(ptp_ocp_summary); 2115 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --rwEMma7ioTxnRzrJ Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICPgVQ2EAAy5jb25maWcAnDzbcty2ku/5iinnJechsSTLine39ACS4AwyJEED4Fz0ghpL Ix/t0cVnNMqx/367AV4AEJykNqmyPegG0AD6jgZ//unnGXk7vjztjg+3u8fHH7Ov++f9YXfc 383uHx73/zPL+KziakYzpn4D5OLh+e37+++frvTV5ezjb+eXv53NlvvD8/5xlr483z98fYPO Dy/PP/38U8qrnM11muoVFZLxSiu6Udfvbh93z19nf+4Pr4A3wxFgjF++Phz/+/17+PPp4XB4 Obx/fPzzSX87vPzv/vY4u/305cPd73dX8P/+w++7+6tPXy7uP/z+X3dn8PPD2eX975/25+cf 7//xrpt1Pkx7feaQwqROC1LNr3/0jfizxz2/PIP/OhiR2KEoVuWAD21x5CIbzwhtZoBs6F84 eP4AQF5KKl2waumQNzRqqYhiqQdbADlElnrOFZ8EaN6oulEDXHFeSC2buuZCaUELEe3LKpiW jkAV17XgOSuozitNlHJ6M/FZr7lwFpA0rMgUK6lWJIEuEqZ0KFkISmCTqpzDH4AisStwz8+z ueHEx9nr/vj2beAnVjGlabXSRMBmspKp6w8XgN7RyMsaKVNUqtnD6+z55YgjDAhrKgQXUVBD aqYXQA8Vo/7d6fGUFN3xvXsXa9akcc/CrF9LUigHf0FWVC+pqGih5zesHtBdSAKQiziouClJ HLK5merBpwCXccCNVMi3/fY49Ea3z6X6FALSfgq+uTndm58GX0aOzV9R25jRnDSFMhzlnE3X vOBSVaSk1+9+eX553oNu6eeSa1JHZpFbuWK1I6BtA/6dqsLdy5pLttHl54Y2NDLSmqh0oQ3U ET/BpdQlLbnYotiRdOEO2UhasCS6N6QB9R2Zxpw2ETCVwUAySVF0AgiyPHt9+/L64/W4fxoE cE4rKlhqRB30QOJQ6ILkgq/jEJrnNFUMp85zXVqRD/BqWmWsMvokPkjJ5gK0IUihw7siAxAo tjXoNAkjxLumC1fgsCXjJWGV3yZZGUPSC0YFbtl2gi6iBJwsbCOoBMVFHAvJEytDvy55Rv2Z ci5SmrW6kbnGStZESNruSn+87sgZTZp5Ln022D/fzV7ugwMdDCBPl5I3MKflu4w7MxrucFGM tPyIdV6RgmVEUV0QqXS6TYsIaxhLsBo4LQCb8eiKVkqeBOpEcJKlMNFptBJOjGR/NFG8kkvd 1EhyoACtdKZ1Y8gV0tilwK79HRyz2GWDFgvtSSdY6uEJvJ+YbIF5X2peURAeh2AwuIsbtGyl Yff+3KGxhpXwjKVRsbf9WFbEVIwF5o17CvAX+mhaCZIuLeM5htWHWS6dnjembth8gazf7pgZ vWXN0Zb05rPOg8Oh0KT/cJnQ8OiaVKrX3QOK2XD46e12TynitbwYXUk7TlSa/EEd1S4oLWsF u1DFt6dDWPGiqRQR28hWtTgOu7WdUg59Rs2eHuxQsy2YL9dflOkC1ErKBe02Btj3vdq9/mt2 hP2f7WBhr8fd8XW2u719eXs+Pjx/HXhzxcBXRH4nqSHCU0wRIMqZy0ConYxADChTJskSSlbz UNMlMkObk1IwhDBM3MNDQURXWcZ3X7Locf6NrejFBNbJJC86+2O2UqTNTEYkGg5DA2x8PLax pwt+aroBeY4ZaumNYMYMmnDNZoxWu0VAo6Ymo7F2lPAAgAPDlhbFoIUcSEXhtCSdp0nBXEVr YDxNcMNcYfe3qrd8S/sPxxYu+y3jqcdKS+uly6iHjj43iPWC5er64sxtx4MrycaBn18Mx8Iq BTEWyWkwxvkHV3YNFqsyupni3qaSbahj5Q3NUccl8vaf+7u3x/1hdr/fHd8O+1fT3G5MBOrp uDZigxCsKYlOCISuqSeGgyZM0JLD7E1VklqrItF50cjFKJiD5ZxffApG6OcJoelc8KaW7lmA P5rGBDkpli162N3uy9CaEya0DxmsTg6mnlTZmmVqEZVn0DtO3wgh7aQ1y+SIEpG5YVTbmIN4 3VDhkVGDd61i7Nb2yeiKpdTrYgHQc1JRdZRRkU+PXDKZRsY1fl5MUwCz9ThEOavDWAb8R9Cd Q1uDvOQdp9HQVVx1YigzAYLtEVMw2PkA1FFEVTA7HGG6rDmwHfoJ4D7HPJfWOkCU3bHXEJht JTBMRkHHgvcdZQdBC+L47simcHjGrRUOU5rfpITRrHfrBIgiC2J2aAhCdWjxI3RocANzA+fB 70vvdxh9J5yj9cd/x5gl1RzcgJLdUHTMDE9xUYJ+8JkyQJPwj5gOzTQX9YJUoEuEo+z7ONb7 DWYrpcYHsaYjdKZTWS+BIjCXSJJLzqS9K8GJY8hTzlxzqjBW1KPYwR76qDkH+jM3BLEee+97 ehrdzdc4+pQWeecvdeij1XT9CARmvjudN+AxBz9BGpzha+4thM0rUuQOFxpi3QYT1rgNcgEK 2FHfzOEqxnUjfPuQrRiQ2e6VDE7K6H7cdeNE55leh4mpEQbEV26MC7QkRAjmHtwSZ9qWctyi vfMaWhPwrWCvkImt5xBimL1GQcYsgqPNBsICg4aWbqAN1l+lwbku09KVaEk9vxO60iyL6hPL 4zCxDsNW0wg06VVp0gGdD9Dmy+v94f7l8LR7vt3P6J/7Z/A1CbgBKXqbEAsNLmR0cKP/Y1P0 zsTfnKb34Es7h40wPBGRRZPYCf2AsKwJOBpiGdX6siBJTHnDWO7IJIGDEXPahW6eNkcoWmN0 K7UAceZldEgXDbNA4AJ7ulMumjwHh6wmMFGfmpkguzH+KuAKxUgRm28rFS2NdcVMPstZ2kUC jp+ICfJ4iGOUpDFyXgjs57s75KvLxA11N+bmxfvt2iypRJMaTZzRlGeuGNo7AG2sgrp+t3+8 v7r89funq1+vLt009hKMZ+f/OeekIOi3ccEIVpZNIG0lupyiAqvIbArm+uLTKQSywRR+FKFj sm6giXE8NBju/CpM9jBJtOfsdQBP3zuNvX7R5qg8gbCTk21n4HSepeNBQMWyRGBCLPN9jl4l IZ/hNJsIDNgHJtX1HFjJ2W0bH1Nl/UYbcgvqunkYjHUgo7dgKIEJuUXjXix5eEYwomiWHpZQ Udl0JVhRyRLXrrYhg8Sc7RTYxCRmY0ihFw3Y8sJRAyb7bBBDTtfSVct+cNKY7LNzLDmYd0pE sU0xreqaxXpuI7ICVByYvcsgCJKkopbHcbNpavO2RlnXh5fb/evry2F2/PHN5gWcyK0TD5dI JDynRDWCWp/bB20uSO2G59hW1iav67AQL7KcSS+/L6gCd4FNJJVwGMtO4JKJmNpCDLpRcEh4 8CP/BcEruxBv0I6UyVlROApd1DLu/SMKKYcZ21ApQiDjMtdl4vhHXUtvfJwxezZoL0Qgiiwa 4Xm7NlDgJfBWDr58L8kxK74FUQDfCHzieUPdJAacDMHs1rhlbBJ7iKxZZTLjE+ewWKF2KBLg ODAhLb8NW0ar2B0WWOiANpucrxtM8QIjF6r1JweCVovISD2ZQToussQuedGP+Ads84Kjy2Fo iYxOUlH1hA5pguWnKHuUtYwnr0v0z+L3iGDAoo5Ar3hdp7FjUVGBPYRdB54Y5X4Qpzj3gFcu TMlAYMFZ3KSLeWCJ8UZhFUg2xJFlUxrRzEnJiu311aWLYHgIgqhSurfo5MOF0SHaC7eMiJab Ke2Cc4BUWIEcN4MQjhsX27mbzeuaU3AESSPGgJsF4Rv3qmxRU8tHImijEMOh7RPK2busdKR7 Dh4WiLj1H5zD3YAWimULjKmS6AeCsUroHP2KOBCv/j6ej4CdizmcQAtxWqzOkKUaK5IynZBm c/uvx2od4q+20dOGggqO4Q0G4IngS1rZ4B7vLidmKN2oum3AJGVB5yTdhhOU5poOmGBSISMG 8MP0bND/D9BLvRV0goinl+eH48vB3g0MmmYIUlqL0FRpPH8zRhWkdhh2DE8xne+pdhfHWBe+ jur1EM8S5brdE0tz9+P8auSDU1mDtxHKf3ev2TJ/EBNYlqgL/IOKmAJjnxzPq2Sp4Km9HB6k o2s8ccADTnDEEQyOFUqoHXMStcmGHVzV1PoZLAtX9tH4VhNDZEwAN+l5go6mDLumNbG1TVKx NO5F4NmBoQfJTsW2jqdTMSkes0fGaTQOlh2BRLzXHjyEoR6cFkh/62rgjX0RYLSgoCDCgPD2 Qi+R72wF3KDmC5TfonNL8AK9oddn3+/2u7sz5z93J2sk0or9kHSOw6+fvEPD1CpESFxi5kM0 waUhoqAWQstfdqsZEG13hzmVEP4vdKKZYjd0sr3d+n6LzybQ8DAwvWPUc4d87i2ShAcEDokE Lx/lm/i3CwZscweBAwnBo9/SlGzk/loFNJwuRge4H0u6nfZ3bSclN4ZVNM/zv40a8/wieH6N mVnOfONlrHIWc3Nv9PnZmYsHLRcfz6LkAejD2SQIxjmLznB9PnCsNZwLgXUN7qxLuqFxt89A MPiNhzmpIHKhsybqIdSLrWRoikGZgMN+9v3clx8ItTHz08r/EFgZ5sCUOOYVT40LAf28gnEv vGEXIDVFM/fdzkGWHPBZmL+Lw1rxDqyJR3OIsuFVsY3uWIg5WZaQlhlGl0h5TI0D27F8q4tM jVPtJilRsBWt8dbRs64nwudRyoNkme4MhKdbFzVKICZ7bGCPstjrceugvPxnf5iBFd993T/t n49mJpLWbPbyDeuR3WDdZiqc5Fabuhju/bpzL7UsKK3HLToIlKEdJdLA4ndgpV6TJZ2KCesy GG3qeg9AaeHo4fVn6/pgUR1LGR1qYKayJrgpDmz0q2MYIyYSfFu+bMIUTMnmC9XeCGCX2k1/ mZY2R2ppM96bdDKHg1lHXLPWedR9s2PVqdAjqTWgvM7iISiuo/ZqhMxI/mmaNkFXmq+oECyj bvbKnwh0UqSyzsUg4RYkRIFR34atjVKu3TWNK5ibB205qUZUKBL35+w2Am9NEWfCT0GBWaQM 5mnLaSAW6b3sOJh5l2k+MGj3NaJP5jAgmc/ByIeZeG+9C/CTSRGMnjYS4n+dSVBFaCicq9lB ldjtQnejqeeCZCHpISzCktNbXafIS3yS9eDfioAuFaOBu52xSmyqf4fFeBg/WjZOJpxk05ee 4JF260qqFvwEGvxrulzYMHtNHbXht+vKBPn+iAg4wbq1intIVvY2CmLdE4sy/w5rXnuFyfDO GxiNTfpWoFS7DEZXFTfLD/t/v+2fb3/MXm93j0Gw24nTVCFZpHc/MLt73DuvY7CUzBOsrkXP +UoXYBKpmACWtPLEywMqGi+T95C6lGH0rC2oSy+6Rr1fRh/IGOc0RPtrm2yLM99eu4bZLyBZ s/3x9rd/ONefIGw2fnTsMLSVpf3hhBumBfNs52fOTUJ79YO5GEcJQEBZJS65E3RYGh+ed4cf M/r09rjr3ImhLAazdX3EP+npbz5cRPllPLYZPH84PP1nd9jPssPDn/Y+2LQTUc6kqZzDF1fH w8uj2ddy2GaGF7v3u9s9el/Hl9uXR7fG7P/V34krsljWKGeiXGPUZt00lyuzkrG4qgGIrd2I DGhg+PCphHAOvVJwWzGmgcO1aXN3CiZTyTRL8nheIF/rNJ9PToXtiZftwwas/68LmscfVMw5 nxe0X7aLYyu8918Pu9l9d4R35gjdU5hA6MCjw/dU7dJ9j4Zp+gYCk5tRvgnQYgYGjONq8/Hc qVbCG7AFOdcVC9suPl6FrRDVNLL3u7tL693h9p8Px/0teva/3u2/wTqQlUbOt43f/NKLztrZ pGu3w20uHzxa4SU4l/bWL3osf0BcCDozmUiM2fdz5uYFMzr5xBsvW2Xe+9NNZcI+LDlL0XMZ Zx7MGy/FKp3gw6DALjJYK0YukWvcZXiBaVvxoi8G4HW8vR0GY6M8VoCVN5XNWZiXb21mN3g5 A2iVm5u3d/1MfM4LMpfjS/+hGshgLiBKCICocdEPYvOGN5HHHBBBWUNkn7kEu2puwGFGDDnb ArwxgqRdSm4C2KYdy9GhWMrt20NbM6HXC6aoX7/c31zLrpbePvKwPaJ4FbdVGOF8ssQAun0h GB4gOCcglFVmr6BbNvPNlcWzVUnRs8XXkJMdF2udwFptZWUAK9kGWHsAS0NOgGTKO4EvG1HB EuFUvAqvsATKZyVLAREZBr+mctXesJsesUEi83d1TqLdIkwAxY50UACnoZHisbJsNAQjC9rG miYdEAVjWXsMpWU9K0q2kLy9JwyJafVJy3mY8ggw2n72ZmkClvHGS2QP65Q0xYKYE6C2usSz ehZy8pWg2fwCOCUYelQ64apcBzKZne+SE4Xi4fvsCQSQXu8akkQ7YxMmvLzUWT8EVmvGc2be LCe3ZM0QpWVLU2UQ8m46flR1CozZYjNagDf9wsazNuNHNqG8c5SnJos2l2Fzp+Irk5QHa4i1 OxGGncSLTGXlBOBYtRimlkyhkAECMeiCiDiL89yod7UdrSPrrnRoiqV5jgjzrMGUFlpsLOxF HRDZPrphCm2peQQaOQicGmGAwtdViNLbHzNDl1mOLcErggsQDA1Rw+j3GurqBjns3mGOLTws mNmHKX05nx8lJU1gPdq6ug8XCbO3/LGF4CmG2xBrG3oMGfelJRl5nrovh+IIE7lNY+4VOBWq e+gt1k5J3QlQ2N2ySLR7DDSsqIa9hSiwvWHwbTzaPbe2NvQg2+Lk7m5zrFs7p3UaMvpUg7Wa Uw8BB0mbqvT3tW5bbAzi3FUZR7jdXHBahokg4F1IxVmmi/Osf4pkQ4iUr379snvd383+ZUuW vx1e7h/CnAuitWc4ZUZwHoPWfZ6CtNVQXYXtiZm8jcOvh2BIwqpohe5fBDs9EwPTYMm/axFM 5brEYm3n+tPqJddGtcxmntgC/0ykfVuspjqF0fmcp0aQIu0/XjFhEjvM6OuTFoiHL9ADDU1u CJ/8hESIOPEpiBAN38qcQkSuXeNLKolWs38IpSHER/6Or8hEVXjVvLh+9/71y8Pz+6eXO2CY L/t3wcnZB5nhTUnSls71P/t3WWKNouuD8A1SIuej95UOrGDJuB1Tb3PBVPRJUwvS6vxsDL7h lXtP3jWD1eFKFcHr7zEU1rueePa3TlTYF5p0+Tl6Rs7GMHxTC2owfpPpIOYp2Kl6Iq/kDZjy aIzv4dTCvJoJFosqbyKpjAgSS0trMvFuvFi2KrnT6kFm0F5a7g7HB9QZM/Xjm1tPbN4e2LAu W+EbLtcLAD1bDRh+pt0D6bQpSRUtiQkQKZV8c2qkoCxnAotkuZwk1N4FQhwwjSGYTJlPB9sM 8AgFWB/sbkXXrWRzEgUoIlgMUJI0vqelzLiM0zCEC1l5kko5j84Jjoxw1+fFTU11csglESWJ d8Us6Wl68bM0V5/+AqkrB5jA6nL8AQu78lV+xjy9r2GgDQMZ95UaNtdloDf1ghf4GabhKWfn LjA+PJN2RAYGZtyWm2TgNbfe0HCMA3i5TaJ3zR08yZ0kC/zQnZoIni0jyH2M63oKPpGDWPsv comszh12qFqNgcXjxqiP4orhEl9xzEaJ0vnEjvE1bGcbmrgpGjA54GFOAM2GT8D6HKf5GFE2 VLYPKNOQsLNYx7uO2nt3DtP+eDtfoLqv8AFjZiy+sd8xP7572acTmuNfmDTyv7Dj4NqKmLWA wd01D4UghuPo9/3t23H35XFvvok3M+WiR4f3ElblpUIfeBijdYjdUAqowbxV/5ESjBDb7xg4 XGXHkqlgtW9FLQCfg8fe/8LobVKsZ8Ipus2iyv3Ty+GHe+0zLpQ5VfQ4VEyCjWlIDBJDphvw ldwwcgCt2hKfsEBzhBGmQPFrQ3PX82opdj/R4Z59W4bYYrW3D6Pef9HekjUJ7g6ZB4FZnALY E77yFVYAi/mokbIod9sKiNlrZYTbFLlfxmho0bCEWvkap6Ug+T/Ovq3HcdxY+K808vAhAc6c tWTLlg+wD7Qk29zWrUXZVveL0DvTyTYyOzPo6U02//6wSEpiUUV7zhdgJ+2qEu+XYl2BeUYc qQbop56jSKBgSgrUZHBwIWkUEcHLblgLvZuTJEql0DvvULDQU2dD37oek9rRpQLZhlV3cSLk 2PfCWrPDBKrx1WGk0ubn1WK7Rq31uyHhYZzBj5e6kiu0nCztDeK6tI2UsbH8wh5xGAeKrNDu 377ns9ZgwLhjNVaSZ0yb1VowFDdDsiKOh9YIsjlCACotLAaB/6L4eTM1/qmmTRCfROHM+wDp 8YNqVB6CM+CggbOHR05u1jRYBK9CPlB8QTp4Ds8luJMnp3Id0tc3kvdNAhDlB4olnvAEw16p A2RpqWeVLK3eY/9i5Rrfz8IcDQMgmZIWuYopVRcYiaoJBteTPXXfQiuV5NQ+0e+hAY4qQmRJ k7X6lB9vHP+lMnxW2lI+iP8hh7PRSlV1LZUv7//++vbP1y//mN9H8mS5tz/Xv/uUM2tGJBfV 4V/yLrUDJOw1sKqQzl/BoCSSF25zj633vikUh0H7I2QgdKSMvLgehsmAodYRLyCeHVmUJBhe gr1yHiIZWLlKSjuyofrdp8ekdioDsDJQ9lUGBA1raLyattojwdHIA/A6WXGiYiRpir49lWWG nBUl7yaP9+qee7T7+sNzSxuSAXZfna7hpmo98W2AjtGergqXCc+I6aZ59GcKO3bXBuKlq+mS egDj4k9p7V+giqJhlxsUgJXzIg+9ihaxQO3yz8O42ojujDTJaWcLlYcLc8D//JePf/z6+vEv uPQijWgZopzZNV6m57VZ6yDIpu0DFZGOaAO+Q33qkYNC79fXpnZ9dW7XxOTiNhS8XvuxPKcD 3iqks6BtlODtbEgkrF831MQodJnKB0IPvq7tY53NvtbL8Eo/4BiqcxOs2RcGCgjV1PjxIjus +/xyqz5FdiwY7Qyi10Cd/0BBvGLFjQrlRPptg4park76tIKYnnDfFay5x5dX3dagJxaC7x8R Rn0imVKlM5OXdFEjtkFSjAp4F2SL/KbHX8NTyYCMRDNRYvL17QUuT/nQe39588VinyqZrl17 eAwSBgrijXsDl81JZ4GMr9D6jHnnlJWgt30JUZnKUvFjPgJwj5XMprey/bUlPjWlo6gGO9hr g47uU5F57/WzmE0mr//nylzaXYBob/pWXHl7WTdV93iVJAXx1hU8DKWXGdDoa583GTxw/CRy ECQVr68eOUAi23BlNq6NmhnWf63/7wNLH+toYL0kZmC9+GlkvCRmcH2Xy9o/dOOwXOu1dcTU 86PFHv80Sbzsokg8rGST0vMp7xj6xGdtQcLzsCUjrrcWv3uQ68MSU6gj0/3d80Mh21tWFT6R Dfacs9LYRlHoYl5Bn+wL5xTtU0EpXVTZ8SIMLPHyBOsP5wax6RaqOHs2X5olZUamKcgtxkz+ sI19W2Y7kIFSj9XyxjdgywaqpgSNvE5T9MaQP0HHhXxpw8iqndWW2rI+Vs7bZ51Xl5pROg6e ZRkMQLRCbMwI7cvc/KHiCMqbtmw9+jjrI72zaR6AJZrI+4jwxRhNE6uPaQk2lKKChBC22Kwt mFLoUbDhTw/SNlSy4CnDIuIJU1JzZ+ELEzqd+tbne2iRwM3raIirOivP4sLbhOayz3rgPXFA 1XXvvnuKOveHDbUcPI6icbegbohc3N6pzJeQeqBVOqYzUctDY1vxwq9e2OZxCiK5TQdSHLnb ljJxQ04PmwFEOLAB5fMmKal93NSWkKbZq6DXSAoPwt2m0+wX2DnjU62zPze6KsW3OgpvC6XZ WWqNqycmxE4Wjz2OW7l7sH6otzaYW+jcLFiuc/f+8v3dMexRDbpvDxmth1QHalPJl2NV8lnU PnPJzYp3ELY8aSr6yIqGpdzjKEWeSTvbbAOCH2ZpgyDNHiw4CFDftsiPAb4uM+pSk5gjtw9Z AAj0E3uoKkBKbRWwuhB7E3XCpmeVqCWUNl5o6SwSE5pyntB+Up//eHn/+vX9t7tPL/96/Tg4 tti6staNTwQDkeARe0iY095jwnftSdDeOANeOHOJ0CfW4LkzMNmZRu5BEnVckeCyuueMxOwS Uc9brlCsPS7px4pFRLriWfjlhds6BAszDCpVatPeKJYcb93qw7qjhHgWSdGcc7dJckLDxbKb gWsWLObQvZxYF5i2eUCtgSV5sWlkfsoSZgdx1vDzEVkhEC0GQA+rB0Pbewo2W0ijQcPk0ufb BhajK7n/rvFxwXuIR0vzKAnJCMO6yJFz0gDpUciZC5iaY8W0ApkI+zZI1I8zIm7tk2R/AG7J smDQ/FigNA9Y5z7Qwm2X5RD+SNmbystKEERN9nCSrVfxkEHgnR3SHUEGhgWDUS+QqJgs6Fqb atWiyZqM4D5RufqqAZM0KZv7QI3oCxrinO+ccRkgrpLM8JvBHKJ0MU1CIJoElJGibewj1MaO essfofr5L7+/fvn+/vbyuf/t3ZLUjqRFJqgIgiMe7h2ihtlQ2gWKQZfmcJD4a+XefK1q0TIY pqPK6KCUblOgl/09txkU/dtprAHyEqXGM9BDbW984EG2tfvb3vgY4eOgE8YtExH4NdObAkyW om8kixnh4P9EX39JVh97J/XX0J69tYbkD8liH3hr6/EAWCaYZ9WgHg46uswenagAEMc0HwNc ly/Pb3f715fPEGb699//+PL6UUkb7v4qSf9mzkSLJ4ACioyDwNQp1c7BBQDYgDqAkQU0HrBU N/YpKdOFkspotXLJFbDnIXXHTPgiczovwcslAer1veZWIRFXq1iGPb5j1PhAyDbsD4LAUKQP NWswvgAHSI+u4RE6K1i0YSD/n9FQit5MzQw2py27ek5sgETJy/2lKSMS6KOOx9G1Hgk/tF5H GYZg4BqOjwO+x05mhCLCoFIIsoytKeTzS+5iFJBfPWINm+2A5dmAc4SCbUmFhA1Ze4Qcn8PL etiYqeZGUpcp1z5HXFhTOv/Vn/MdsAAFemIqDIRjMB+MI6A/MVuzqSr6raGolEE+MVImura1 GtwfJikfuvUlWBkbyYcqUSZgmbDtTQcIFYF+xCnjZcHOnoxeiAw4hR8innJ0eAn72iMQVREw BKU5BAzwT/fuqPiDSiUQBkkb0hjrKxNfDn0u2hN9AQESEqk5eAvLUF4ECQBTM8WdahhGcjuK riq8caa9ZoKnTomO16+xw6vxpWCBVfAYatVZJAlacC6mf2qjKFpcIZgl47IpxLEer0yIN/JR h+OA9E+fcMyP9OX76z++XCAgBBAqvZP449u3r2/vdlCJa2Ta6PPrr7Lc18+AfvEWc4VKy22e P71AtFSFnhoN2ftmZd2mHS3J6REYRyf78unb19cv7yjoLJw7Zar81km5EPpwLOr7v1/fP/5G jzde8RcjSGzdaIVW+f7SRqauy4354cSzdSqoJMUjSgyOygaQGoezT/A7t06KhDO8XwGiXMf6 hNOCHCjDOSTNEH34+Pz26e7Xt9dP/3hBg/IIInZqj6frTbidGsTjcLEN3QaDNbebw7phNUeP bAPolR0DqM8ryZ4vFy7anFNN17edYgvR8I6FeE68qZRTAT55OMjWgE2OBSkEHPDKe6xPNK+u kwA+f3v9BMb/ek3MpF/Dl63g0aabdzqpRd91VFvgi3V8pTHwqTxuQurjplO4JbmGPW2ewru8 fjQcw13lmuSxU8dzzsBM2DavPWlv12OWI7t6BDaedVba5XNb1Hs0jQOsL8BvllzEcj2VKcud oJbDsmt0jWN4IpWMe5isMcjO56/ylHqberW/qI2DXAIGkLIETSE7oMUDdfI1O1YCfRqbN32n olforhMtnegGp0Z7HCCCEXCM5Py53RhFNjoh6tn2DRimTflD0jgHas0FPMrThp89OmJDkJ0b jxJfEwBDa4rpvabtkjt6qAROnTspj6EEpjw9TDnKVZNitQ3aScI7cN1TugDF73iSWQP6fMoh dclOLvaW2/68TXZAFr36N357GJjIeYF2iYFfghmoKNCJaMq0U2EPZSZI8Qj21RAxQa3Pvb1+ AbXPJKc5pmjDXs3zPT7GZps914sjd6zpNWAm3jJgzAiheGvj02q6lCr5bHJjhYzYQylIb12c Kk/+VFNNXG2ju9q357fvzo0Pn7FmozzePLUgrzh7BFoQU6YqjP8VlI5HpLwqlK/Fh8BbgAo7 pYIJZLO+YUJ44s+j/87884YOqx6f5J+SzwP/NJ0OrH17/vJdx5+7y5//g13rZJW7/F7ubKdb g4ezFvp8fX+5e//t+f3u9cvd96+/S3bv+bss/bTjd79+/vrxn9C+b28vf395e3v59N934uXl DgqReF3Qf1sHcIvEE+6vvrHc3jjGN/vUfD5dEWKf0nJ2UQAtLWeXTauq2uM236aTXyRkhlCK 5Nlqa1jxU1MVP+0/P3+XDOJvr9/mHIFaVHuOB/aXLM0S5zgCuNxFboR5873Sylf1EHkCtRTQ ZQU+Hd7OAMlOXo+PYP7vEDpkuUU2b8Yhq4qstf2QAANH1Y6V971K49oHV7HhVezqKjZ2++7W vPb0zKFbhvOu8YCAUXQragK4J/0NLDOP8dT4Kaj2HGWtO/tFKuZnIGAkf0Qx7AP61PLcOatY 4QAqB8B2IiuRAO3KQtfvzudv30AFb4Dgiaipnj9CdHBnN1QgXesGawbnzAFPL8eZxwKb+COe Dg9EINzX7lxOKXIYN+uuIZMLAZ4nx242HJnYhTNgch8vVnNakezCfp8znNkLMGXWvr989tSb r1aLQ+cMRMJdgPsInKA9k0+vR8lF++41HcH13PQ4nWer83bpNTEJCG5Mp850/fL57x/gUfz8 +uXlExz1XpsAVU2RRFEwa72CQjq+PafU0BaNy3zAaOdDw9EikEDfKdCm7vKHCP5t1UJSAVAx 2f5/Biv5QmG8voIpHtN4P4aaOdFynNfv//xQffmQwGDNhLGomWmVHOj32u2B1fexfBfhIQaI o/tVx0+ZAcYdJwPWGS4f+0vDW9IJ1SKdSbtsZNXONu2ACju41Q7+eQHPFtNG88z+90+Sn3n+ /FluGUDc/V2fPJOAieh6mkEkT9w6C+GKCqchY3taQDtSFB2n9DkjHmsTR/A8Cd+IYnJRqQDw +vx8/f4Rd0hyLm6kmPFb+AdpzkaMnJzqSA0AF/dVmRx5fRWpeQ8iJsk1WuWvb+d68ZEe+eF6 2/rdrlXLcBiWLEnkpviH3AaW6NH9XhIRpUooSPeOrMDqDA+BHO8rpexwzguqWaOqCXalanxe y6G5+3/6/8M7eU7f/a7dJ8nzUZHhJjxI1rca+cGxitsF24Wcds6OAH78kqvgcwKCcLhHnmbY s52x7wsXLg788QuXNwTEIT9lVG1OoCQAq3SMjsi02hNbzE1HUaswLm6aCQOiBA22w6TyljS2 B8pKYXRLHQJh296oZY3FtCZE0gzQl6c8hx9zjJ2nOkkRtzCQgBJICLiaeL0MsWzwiT4xh09z +X6ZFwhQ5c+uYtFNCXUHvIpWVJlvJ/Mrg02bHWUbOnZ1R0SUEl1MFUU3Xg0D2IMm6dkdnQFs pBtiajxGXxz1KiRqBv0oqEXtlmj7DWgQbZc3NPRqlxuhJkXfueciszQqw5NVQp17dxyvc4HU xopU++CxlrajViTHS0GGBVLIPdvJg95WGitoMquo9Xh0aCRrDq6d/HCI2d0cLyhLUDQZsqVR GHV9WpO5MtJTUTwaudZkqr8rIFwytVePrGztPdLyfeEMrAJtug5xknIwtstQrBYBrYMuk7wS kFBTQA7YhNZF1z3P7RwtdSq28SJkttKeizzcLhZLFxJaOkL5dhJVI/pWYpDycEDsjsFmQ8BV jdsFOgGORbJeRiE1tiJYxyiIgBaAu9E8hMMip5e+U5nN4eDxaHMHldtMMgvKgLLrRbrPSH4I VDpNK6yXTBI6NnXqt1wZslms6cNAjZC+7bMaXma2knGYQIWR2zykPTcMXic2ukZRsG4dbyKi 6YZgu0w65KVs4Dxt+3h7rDPRXSs/y4LFYkXuKad343jsNsHCWeMa5hqOTUC5fcSpGGVBJiHB n8/f7zjY+v0BgRm+333/7flNPh/eQfAHVd59Boblk9zIr9/gz+n8akGKYHMY/x+FWTI3s5xz Lnx2UAz8r1RKyBp5zOtMfJwA9XZIoQnadiT4mCb1bGecC/tBLZ8yl4fM/T0lsdah9JssgXvl cWJvs+Roc/qw4FmeQLBz9FwfNoIPjCyxjmzHSvmEt20gzjUrsdLSgJTugNq3Bj08coanvH1w 63c7eKuYB+WMq1aJNorKupgbxuVrpW3tGFaKyn2eANAhQZFPFESlytyPq1a1xTRCJ5D7q1xT //yvu/fnby//dZekH+Se+Zt9FIw8B3VlJ8dGI4nYm9iFaKQk/aCmkJzkNwllMWvGBPTfKAKw gufV4eAYwyq4yoCiNF0z2bIamnbYb9+dKRKQcslMCi4SImcCwtdEnUuFmlABmUM88Jzv5P/N 268+oeSPI/pYidZk00OoprY6MEg+nD47Y3hRGWjRxa8wtGO/xik9yhCTCDc+6Q67pSajlQcD 0eoW0a7swis0uyycIZ2ltpS3svyf2m2zhh5r0t9U4eSH267rnNGVUD1dNpBhmxINO7Jgs1q4 UJaQDWE8kawXJacb0Vu7LQYASjUB1nBDQttl6FLIt6gyfMzZY1+InyMr++ZAoq++WXZfhC2Y uJdn9cSejsUrW4G2hRSvji2R04PtqnMilCqQ19JEn5hnanco6JVUcxYRpB3JSU9fQ3TCOdf0 8Vq38oKlvdt0d0CQIx69Z4F8XKPczwqYyfaEtiRCclXqEiizi85HMMnHBlRBCvYG7JjE3EXM 16jkapYkNIRRUo4ABySGtb+6hg/JCar5sqCsNfQRJRnUtn5wL7XTXhyT+d7QYLh+feUNFDOh 4ICVr9xSXMOnl0QedjbFrA1wafkXBBAca9rI0xw1kqukH436pDtBwA1SGKpH9LHZuZP3aN8o hhmrz4ZdcO6T0l90WnTLYBu4J9heWwjTUFfkO9yA3jni9XyVQNg4kuUasAx5LOiOtJl7JovH IlomsTxKQi9GZbHTElUQSiofq8BHO4RjYgfxc7D2UMGWUBTrlY8C2aKYUWjmo1A32rTEP3RN 79oUKcSDWjG93JRUPmlDwvT96Y4MLzbBYn7wJctt9Kf3VIOebTcrp6xLugm23bysa+d6XQwX IYbGi0XgAN2ox4hn8RtwwgUchfSj0pCYtXyN5GG2KV0KPd8RmdJbj8PRaXt67JvUTno7QFX8 yDk4K5L54B7l6+jkxMaymT3nHWIJ9KwKQFoBbKT1PAJQqzwV7CCHEihfa7sK8r/A+w2jVLIF DDIC3qnRAHyqKzIHokLWaoGbkEyTtfO/X99/k/RfPoj9/u7L8/vrv17uXoc0i/b7RRXCjomH mxyw4xnva4c8dpJgHXaz1isu70YNguceSYrC7ilBfIHjVRm+tSAlp454Vv+2gmhjuBHOEZwS ptMWgZDoVbRu1NhRfF0Mufoo3ARLC1e+or7c2zt4oDEByyHU/kHysPDDecs5lDqjjXGApER3 sioOih0ID4vqA7cS2TuV5RvtAYk7gbsnr221nIQ6GWUkRJSsFscKA1UOK/n4PnNIAoI0YlAI nq8BIjmgB6ebSj03M1Wd8NlOOF9kDfV2gSpyJ4mIhBUcti1tXFqoxxFd1lPWVG5RlJDdni/5 1HDn8OSJzilxbuxYG6fNnn3Yfc7oIKESB7p3O7PHCBq08uBXpXxgBXdXnCHcu54L1kqYBWuZ cBB2Sk2mQLXb2UbsolQuEaIkrURwZfSJLGhQ+k1WvRIKSXtIVgqQtcsSAhCsqinxN+ivdmqb qRYQQoGZemM4AXc18dH+JKgMHhBX6C5Ybld3f92/vr1c5H9/m0vN9rzJcOCGAdJXyJN2BMtG IEP+EVF6QhdNBJWgLUGvNnU8xeFMaiu5oLTpNLYlZAmkOQYromzXkuon5bgMGhRbqGl7c06L YTrmqzJ1DsJpaYGGiMRAZw8n1tDxPrMHlRKXNLVXAWqwMgzirma09QlLIBCXMwzn1mNLyWug JlHnzocBsxmPr+BOPoZOKV3XwWc2yBLh2fSyo/IvUeV0bQ1Ys9Lrqz3RbZfw/qxmtamE6HPq 3D9rtevwSytdIQrY71bLclqhCTbkKGa0OJWHrMCu4qxJnKBiGiLfFB6V34BfRAFRqcE27OLW 0SdOwkK9oIvt4s8/ifoNxhNhaKiGy+PQ3wpZRrjQGkSieIVypQpeOjKLjw5DMG53G+qELFIw PX+UigySo6K5KtJ5dAR5FaZV0y+TivZrtWhYyuqZ4x1BJrkuatnZJDlLFGeC1P8i50kl/LGm x4/bzJMjxyiqWjKmvl1EwZ5wkh6EpM8wm0QeZ2XLKU7Jpmpmp9qAgampbvZ011Qs/YGJkXQJ S2/0GShK+0Elz6Ud/qUiuBwvKj6ug0F6MVTqmZ+QZKs9nkrwm1LKLeplYhOc975Pdwf6kW3T NB4a3SiIBkxxIvzhhD0c7e4cs1zYOAPoW2TAMEH7gL4oR4oltcMH5IqoaIWDF05wPFYD3OQo 0lZCN1aA5NZtNyGEEgk6GjJHskctu0RlEKEjaSddD2miKGZ2lnLAFJfaqch0iPacI0e4MFis uhmgT4WVvHH4yLoRcwjnf6FPZIOldbQaWTIsdJigkMe74C0/MG/WrjRbdZT9woWXwGf18Qpd JGmxDRYhWZKsNQrX9IK3RxHiS9wiklxjnvlyAQw0T8b+lCpgf/qFt4IKB2QRHarq4IblMKjj iV0y+kThcRjZSikbhQPVZUiOC7/cn5n7W86YrezlBxQPRv70WnJJ3NlyMeWd86n8TR3AfGU3 An7h7c0PvjtChYuB3MZEqb8U9LDmXMuxyfJYc87IeHY2kaRgJc49WOTdqvcEg5S4SD0gKFYx 78TFtW8fYXqgSQxcjoUdE0njsGmGAmm3Trs1AnZkyQtGdVTi9xdy4GCw7aV1L+I4CuQHCPYU x6vO1VG4Uwa75sYgq5nNCnr9F48NNnuXv4PFgX4h7DOWlzc2cslap7IZQMTLGHO09vcZRF/2 nG+YrqnKqvCGnR8J/QlDDEW83FKCb7uMs7zDLYGbEhanjj2pRV/dUyy9pK98+89ks8nKg7xf fWFvB9qsFJAh29rXlWMOZFHPpf8EzQnMlOzApQ8JGKwVtoS/KXx3aZPiAArrxWpxa9Ah4kyb 3bw7Gvk6Fuwm79pAdGF/Hh5DJVgBD8ibZFn2cH28ILVcs5f/2Ynq7GBrAsJnYZc8BUpSMKAi s4RCiKoGxb4Zv5gMhCzMHqasdGvQUKj7Rg+4lmsMnybbcLEMPEtI8BsrUhQCW6MZtVKRbANZ Mi2kqXkSLOh1AuVtg4C0JQHUynt8iCoBMYYntq1N2KqD8Ua/7ADPR1bXj0WG0mApcYT9bAbV rH3W8ZOvoY9lVdPWFxZVmx1PrVXe+JsqkswkY+HP9hEmf/TN0cmTOgJ9PCoQQAjPxBECW7Vc +JNPjGRRaVvh21SN70G6T1P6YJcXYu0/8sUOODOiZ/XxEYdVUwDbXOGipU5jcXmW9m3DD6D2 kSiizD3vshQLq8R+1BAWnN/BdzO/yEnAUKSeklkKGhskBTNCAgfaxfFmu95h6PDSd6BJEa2C 1aJ3+inhYNflaYnExqs4DmZlxRv9DQLqcN/DyE7vN56wlHlqMA8/t1mpfHabPtDC2KTOIfwE WWbetbht2jy4u7BHDM/B5qkNFkGQYIRhcGmg5KBoRBx3ofyf25eCdfCuZvIV4+tOkUkORF6Y /SHz9ElzlbOiBy7RO1ATRRtcJwI+zk9RtVWjQp3TzSvVs5U5IwbBHZNV1Le/MHned3MkRkxb o40XS9+afBgaajEvmt1wizHshacc4CqGobO2sLyB3HJEK198HcWJg4hQLnqeCFxKWgMXPFsJ AG6TOJjNhP3ZKibKWm8o4Nat4AxaPTFbQyPeOHEc5OkUNvAvtdJ0cC1lrYnEvTgwzP4CicgG OfAwcUnNHdBQXIMUR6o43u6YEyZYwUH3B+8u0s9ExcMaJIU20HHEBZD7plOBvc6+WLsaLRII r8pJhZEK1qWFhuM5D3Hpiz8+v79++/zypxXXr06E1yle4vquTpABNEFvsVw1mSHHEU/B7zHG FKmzVRTKuNFa8UpqBXMJf60nhBwnk6HB0R8AImFtgiH37IKUQQCrswMT2NUTwE2bx0FEXdQT NnQ/kiztJiYtkAEr/0MPmKHxcEcGm84tbEJt+2ATU9L3gSxJE6X+oIqQuD4jQ/3ZFKWdAmFA aLGVhScLL3bkShynptiubXO0AS6a7WaxoAqVmNjDl48kcg9sIu9IDyRbJFobMId8HS7YHF7C PRsv5gi4x3dUS4tEbOKlb5Eo7RokRBzMw8jhE6edIC0BBqIndkJy7PHjLg6XwcL1Kh3Q9ywv SJXNQPAgr6jLxX6EAeYoqnlVkjmJAuzUqDZYmpiMSp5qeH2c7TfBs6ZhvaMxBcw5X9+Y9uQo X4nXhps9JEEwa6fercs+S6iFenEU7PB70gEWjoxgvP6PMxcj9CGeFCD3W9pLbOSpJLrHgkAJ 2t73x4sLcdtiQ11bMo3btUmVdVZaAbs5W09zoG77UB1BVsh9XM7QBsjq3DaknDJhTb4NbJ/T AeKEzB/B81QJA+ZSJwT0eGlKPADr+9xpqoT0bgYXF++7lg3aZyFo0FPOgQHeRFFoeeteuDyZ gsUM0HOh1E9zBJHGYEAROXSm5gSLezQc8nePrU8VyJH9Gui1UQK8M0oYOV+LIxRlBDdVmVUz Q1AdT8qlky2G3tNt4UnCalNdVUbbhEqXeJNKPe9+iKoRnNokNpl5zFmPRL7LmtZ2TBkg2JVz hCZoo45gTwajEe9M3giHNB0EGMw6ISwpWdeA9O6aOaVzCxcXvuekXq+45DGy7kOjZx6ytwZ5 eJU6mwtkhgv/HrCLkAvXp51EZFck0YiO9NGzKWwj9OQShLaGUP/W5MKxjLHL8OQ3t0meHlOP RNymUvKgrCzJgM1aPtuwR7wSDfySL6MFZRo1Jai5oBBDmN1yb3SwGephsVDDh0khjwi1Flm9 GzhsA7JyOk6vD/WsAtvGzy/fv9/JsqcHFWa14JfbCTA2U3B55KHbaUR4WO2mLsTB+dQ82VBb rBEpOjlcS3IOjbK79+cmhlCcZEOUbeOUDWIShYmUMF798u2Pd6+rt5MXR/102AEN2+8hknnu hCzWOFGzRmT3hc9cUhEVrG145xKNcUo/P8uRHJ0lkHjUfA8GqXQSR03wS/Xo5NPR8OzsSxA5 4J2D0Ro2XyoN/eV99rirtDvtWOYAkzwtbepiEdRRFNMBIx2iLdHpiaS939FNeJAPrYhm9RHN 5iZNGKxv0KQmt2ezjqPrlPn9/Y62hRtJQIBzm0Llp8xuFNUmbL0K6MTKNlG8Cm5MhV7AN/pW xMuQ3u+IZnmDpmDdZhltbxAl9NExEdRNENKmsSNNmV1ajxZ+pIGkr2BDcaO6a2rXaeKqPN1z ceyVu8StEtvqwi6MlmBOVKfy5oriD2LtcbCbVkER9m11So6Op8acsmtvVli0kq+XzM21ExFO tGvHmWi5HTJtgPSsZHl1oBDLlIKmCQnlBDSpdg0j4Id9SLXk0Ni2dAjcFyTmxOWeLSr0Eh6x ijFnCWmcNNAInmYXbgSv8yLawnPuTpUoq47rNBfWNNzjgzQSFeygDJuutrZmSVbZ7tAYBZGa yH7If8sD6dkwdfXCU/mDKPrpmJXHEyMLZkLyfPShMNLAVXoq6Nt8JOpqRu+BkaLuGorLG/EP F86ppbkXnK13LgfSQswHi1fRvxVPKgcysXOm2SheS6afRB1ZeXG0Dhb2fid/UIqeiWSSaWOc yBrOcrmI5MN2NesGnDAiaTIcRcECy625iTfUnY+JrKFDCHh49wVOBkwS9O1yc6uWk7xmeZfw hq5sdwqDRbD0VaXQIX2P2XTwAKzKrOdJGUcLyrQVUT/GSVuwwA5ZMscfgsCLb1tRu/5qcwJH aTSnWM2sFEnilG0XS9rVFpE9lqwmTVVsqiMranHkvqZnGbYbQbgDyyE4hlqeN6rJumSJTF9t pHm70MhDVaW8o3FHeXhnta99x0cJlP+u6GzENinPeYiSDDtIvOctnFiLx8068DT9VD75xvW+ 3YdBuPGOrc/vCxPdml11ZvQXHFpgToAyj9hoyTgGQbwIfM2UPGNEG8YgqkIEwcpbRpbvQRrF 69WtcsQhXC9jT1PVD18lvMw6zyMAFXK/CWi7M5tK8q+z3ELU9KTyndtG3WLta5X6u4FAtDeK Un9fbAd0hIX4FMtl1PWt8EzkeOiS7bikrbK7oSPrIUr52gg8++RSbDc4zpGLXdBvOZfsB6ZA kVFuKzaR0nZVRV0JHf/Zs4SD5Sb+kaL0eUf3Xd3frJTnmB+/LPw43l5BZu2p2VV+/JVzBtBp kcDC8F1fqvpm2D0+glSLO680AuK4SzblRkGHqrUDDLvoXyApimcNq6HIr4xDFnI/8ukRLL/5 tbJbycIkqwgJ310idY5cKYOJxysjoP7mbRgsPXiRqPu08p4YIgmdaKBeKu/lYtA9px2KLMqm 6G1XFHTz8VwnFiarEFz8wGki2iC0s6ZgXLH31t3F62jlGcJarKPFxrNPn7J2HYZeBvNp9pij BqU6FoYV9UwjfxCR/yR8UsGfKJbEPOS5fYprWBxDgKCur8r77NFFSgY/sH3ObCi+2zVmJ5nd CBlxGNHlslvIjrUt7VykaOpE1PeNWyIImDbr7RKsnVvsUzASxNsw0u339xyotpupFIzVJ3Vf XxrdyBlBweKVHR3ZDIQ8mLPchSqR306yj47Qe0KmWVKl5JvZIjpzLeFwCmBtLnmaXVtSqtyB hKtcdm0Wum2TYySf86VBz7Bd+8vWBaokwgXD95xGPWZ+jZamSIpgQT0QNRZiJuSsBY84cl4a eT+hSXFKby85uHboofLWciJ1BzXLCzC09E15neyjxXopF0VxmtcssXG0oU5Lg78U3iUAuFmL qWXSVC3ksgSZZupxJtHUKduE8cIMIi2qHAi3i4jYKwTZenljS2mGrZ+PHEu7fEmdGgpMHRu8 gLR8pxn4QYTrLbEHlJB07Z/xpGD4TYjA7nPZlCn5kJpBlh75145dHe7mHK7lkfkD4w2U6+iH KTcUpaFrCr5yRAEKhJM7AkQUOweyt4PAD5CRH7DhYWpCYrv0QTCDhC5kiY5+A6PlCQZJ7wGN jKjtZVDRz0a5enx++6TSjfKfqjs39jDuH5Gcw6FQP3seL1ahC5T/4tDwGpy0cZhsbAZYw+uE 12JWSM53BBQF9tAgE8mBIJagwskKbz5pEkCS46kptCpKUPGJTs5AHFiR4e4OkL4UURQT8HxF ALPiFCzu0SN/xO0l2+GId42SmprTMW4QpSXWStjfnt+eP75Dwms3RWhrR60620YROvwMmA+V ImdDjPqRciCgYPKk0CIigzleSOoJ3O+4Ci00oU8l77ZxX7ePtqmOij/rBZpEKWG0toxoVHZq SBoLWXtnKmLx8vb6/Hlu023EvxlrchBo4aUmEXGIeTkLLFmYuslUOtAhzyOxrOwPUGobGxGs o2jB+jOTIByL3CLag8blnsbNRh1V64RUtVBZx8hounbRnuaUTX9SeVVXFLaRE8SL7BpJ1rVZ meJcqja+YOWjziPu3dADqUqxC2lLblKmmXwBty4p1QHB6H6nF+yChlC+vjRtGMek66RFlNfY YAMNBp+v6fLrlw+AlBC1uFVMfiIZhykHpiKnU8YZCnyzWkBrfbml/kImhjHIHNzfHoivNGIo 1l+ASJKyq4kCNIIqYE4ZrLnY0EHQNckuKdZLFJIdwa/03lxSv7QMIp+RwesQ4Ym59yfGwSNN LfnZlrGJduyUNvAaCYIonOKuE5RXWk6q+wyyqcNZKyVs2vPLcFbgXshpra+PgqLh5T7POjMS ZCkTxQ+skBqFyJ+AqO9jokZ0CzhfFWAp5jgkGVSp00SkKB5/UXVMW7HmWKakEMpfxyMVh7io ygbn4HHK9RndjRYZ6Dq3ofoqm18IZX8QlhS0rJ4qHKBe5USTBRC1Hs9DXvfZwKisGyfq2FKZ y2BAZZmeVG8m8ByxSHldcND5pjktIqiLnXF203YIe2abakt+o4FgDMjKdgRCGGJg9QrSA2gi c2LNTAhWpBR4x1bYW39CnUmvExuPQ1FPmA78RWwrD1bXECStGJh/bR5699HP+Y2LLcHeAam8 YPsVeiNOUJxhoglXHZ4eCPYIBoYk8+ptk7VFLuxMRqTNzoXtvV+e3WxY2dldTdOA16TbjVxH h+SYgRUGzLwlVUzkf7VvldS0obv6iNM8icHBe7RPGtJVziZRyn0kyLSQYOBd+sLc2YTl6Vz5 zMKArhS0kQ3g/Ib/gL3ZhKQhrS4S4PrrAsIXd4/OcMtGi3a5fKrDlR/j6EyzPMEJKTue54/y 2OmTnAkxhzsQpHMYprc5CXm91CcPBtLQwEvCSK/Myp4/sLQBapgQ5rp2H5SLLcxWVUM8bCQx klBlhwbJQzFY5852YJLXRUktAVicxoyHllerapfKbEw1Dj4abrtpZxt43iar5YI2xRxo6oRt oxVlk44p/py1FaSec2CRd0mdp/Z4X+2M/f0xyyFdDbz/cMGiQOtBbbv8UO2ULnGcvPG5vfvj uzVY5oS9k4VI+G9fv79bCY3nj0ldOA+iZeSOqQKvKUXoiO2WTjOLdBOtKVgvVnEczqoo0jjw WIsZfF/UlOhDHTexbcWgIAJr/DWsoI9eQNacd6Q4GA4ppfsJcQ0GKLuzjSMHpaI7yeV5cqaT iyjaRjPgermYwbbrzm2/cxG7OMeiR00/7FwqEIiqJCn47AN1GPzn+/vL73e/ylUzpGT/6+9y +Xz+z93L77++fPr08unuJ0P1QT7jIFf739zSEzjhXPNqC59mgh9KlZ3FjeDsoEXOPOGMHcIr SQxcStsFE3BZkZ2d+aUOFyWB03lQePmLfItXJIMHJ6UyY3a/l0cK2Uo8L7xoyXyXgNTRFIbd n/0pT/Mv8lEgUT/pff786fnbO9rfeLh4BS49J1IBqwjy0hmIpA7XwexMaKpd1e5PT099JTgV JxWIWlaJXjJF7sctLx+9zpd6OUPC5sqJx606U73/ps9T02FrmTo3hHUio6LnL5tBNuk7TJ0J ak8U56BQsFadvQwgk7GTwkDS01PJ2/kOgBQPXrO/iQRuhBskci96O0z0cUnzXMITBknUBeWJ dbTz6xxVcryJT9Cyf8GtK2kMY6HAn18hE+g0o1AAcA9TkTVOniR/zl0P9R1Yi6E8SsIEH8o3 BmTBuFc8NtlJi0pJa28RuUff2JJ/vHx5eXt+//o2v6vbWrbz68d/zjkeieqDKI57h5fEcCPJ td1rIWjLeh6CyfnOEyLQobo/F96aedrGYb1cXiPAIScc/Lm43G5BldQ2gzUfMKt4XsIDnhJD yJlBUlADUJnmIYWHSUUfBaFN0eP07MNHvHkwTqXjGw92HBbEqO8Tx2lsBPZnig1VaGU6pfTq mj1++f3r23/ufn/+9k3ewWqJEee8bm2R1tR7UtsvXFi9m7XFVHbtHlV03LZhUpBiF6+FbVij oIJXLujcxVE0qxiYu31yJI+oK13Wm0ZO+weDBXWTMyh2NftNEMfdrHbexhtyN+tOuO1ykEs6 qqBCmyjJsxovIlgnq5js79X+jCyagr78+e35y6d5P42/nzP0BurmR9fzB15gpLHuhA7duTRQ U6CNUS+n5XykDdyjwJhI7NARBgrWGm4D2ponYWwStlk3mjM4eufs0+uDpi0rnBoMM4R78Qsr n/q2pSUPiiKvl9sV9Vwy2HhDDY6yZ/F91CRRG8XL2Vfapi1e+75T+Hg9r04htgH1otL4h6KL 1+6Ia3sdB+pa/o5ArH0cwNstnbKcmCLzhOXzqZsdIN7Xo7bmaukwTnoh5z2v3CMNEtNDnP0+ cAcBMtlrVLia9a9Jk2UYdPTWnndEeyVLRvjq2py4YXupE5+p4s6vb+9/yDfBlZOQHQ5NdgDD LXdPy1v2VM96dYVnJmsbyrwEw80VfPj3q2Gqi2f5cLSbdAkgk26bNcrz1b4zJkwqwtV24cPE IY0JLojlmFCeh+lEIA4orznRfLtb4vPzv7AruSzJsPcQDZyuShMIJDIewdCtReRDxE63bBTE n0ghWRW5HRAxaSePi1t7moDi3FiI2NtobFyEURQDhCmW/o+XfULqAzFVTDcrWnQ0YhN727uJ b7U3zhYr39dxFmzIrYQX08gCg/mmzlhtMdcTsC/a9RLbLdtY+W/LPCoHm+7KRaLJILBU/jiv RsOvRMNCZLP8BBMZxGsFUuqYNpwpS5N+x1q5QVEoVG1ArD625lKbN8JGONUz8EA8zZC6r7wt gFf6/CN4kEK0XuCtFmv6/jHt7ZNLuAhoL5eBBJbWmuLCbAK8LBGGWpWIwDomB/jcNWfAiB2Z 3sl0Wezs2JomWSUCDuXsHsINyhnvILCuwUUe0wc/Mm37k1w3cnL60n6cjp0Gf0h6vNiWjgY5 EIB/2wbxOg6GGEuFCW1WaBitwRh5juGihtLmCLWsF8QXwD8q90ACHsfU8vTcdlNNavaIEtvl OgqoEkHDEqxDMvrb1P5gFW2Ihg4uAVTBxs6f3CaYhg6iMdDIFbIKIorlQxQ2S2EjwmhDtQ5Q myW9iS2a6GbNUeypOdrGHsS6I9aVKHbL1Wa+Eg/sdMhglsLtKqDW/2B1cfU8atposaQzQOnq m3a7wu/5scXpdrv9X8aupDlyXDn/FcU7+NkRjjD35dAHFMmq4hQ3ESyq9C4MuVs9o3C31NGL Y8a/3kiAC5YENYfpUeWXAJJYE0AiEzUA1gKn8J9MwVR2yYI4n4BqAUmE9ZiIeYwcfgjjZzqR QzlcT9ceC/Jj8EijbMXyOHADCz3B6LXreEpdqxD21lzliGy5phbAtxbnxvgQknhSL0Cjc68c Q3xT7aI3ILADFpEYFNlsmyWe+D2RgjhECzgP7m5S6seYyDSLI0uj3crpCA642obtSbCJbuG8 JENRd2bmF9fBgSOp3fBsahNr0UxTKmhtOYRfRT+4eHj1laErihz55uHWoV+csX9I2U8Z7hpA Z+vkZ/kLyA2t8K/OaeQ5WLlsmxZ5mOqyMoCje1rXaGJ+bLNbU2V4mUiN3disDRK7bNtyRFoK Tgy94wkr+RiHfhziVtOCY3mVpjjQWJPT7FznWManKnQTi2HqyuE5skHcCjD1kaB5xhF20rPA 5/IcuT4yQEq2+V8mbKRiQ1u4la2v8N6w3z7a+asG/5apjzkElQ2e3vU8RGQe9+BUYAKL9XBv IhYcMZKrAFRdVQFTTBYOeBZZmIKCbxlkHs99R97A85D64UAQWoAIl5UBrgmAIqe6o5CRyIn2 BOQsbmpNHSXvJE6RxmB0342x/sqQSEzoGOAjCykHArSJOGRxa6fwWPRVVVw0JNg2VXS+g8k9 ZMpz5pXcUc9P0NbqYzY5+GiXq1Ebng2OLcni/QmWMexXAGPYa+aqTrD+WCcWcSx+/ySGvfmk qtGRWqfYKKpTRDVk1NDzA1w4BqFWZSoHqsR0WRL76P5f5gjwsdgMmThrLClulbIyZgMbdWjV AhTHe8OZccSJg9RU0/GgPvhnHZMwxWe6rjZME7TU9DBQi9nBytGj9gcrznRDtL4ZYHFaKHH4 f+5nLRsISuQMGZqG+deqxNQFm86Qia5gKkTgIF2QAZ5rASI4aEJKr2kWxPUOgi9UAj346d6g osNA4xDNu2ZzKL4nyFwvyRN3b2ogOY0TL0HTsy9NdvXGsiGeg0z5QFcfzKx038Mn4Ribg891 FiJTyVB3LjZEOB0ddxzZqwbGEGBtCnR8+8KQ0MV9fy4sEHot667v6meML0rQx9orx+B6LiLe OEBEC5P+kPhx7J9wIHGRTQsAqRXwUD2aQ/tVwFn25jvGUMVJOFBLAQyMGszZucQTefEZ2VsI pEAh7UJVpvMet2vbuQ4QsNo2zrNNtuHiuOjmeQtkuyaaSeAYWnccoXHQgQwleFmUHbXMWFEX /alo4D0siNcej7DHI49TTaVI2DOzsf1YgIe+5G4QIWZeh+3DFsa8ECabp3aEuFrd9FDSAstR ZjzCHpc/zURrD0sCj7CFs83dJPbcEUZZXgSGYFbTHNEKgTeJNjwvxmNf3JthirfWuYqX1EtH K19/Pn+5A7PLr9grZBHpjrdkVhF5639LojXXkVvLyrUOaHeBq5W6W9hwO0ZeAG2zKR8oxrkN B8bqB84NEVbODVjwEuebuN28dMG67Pw3xB8yeBHRslGD35IJrrpoqvYBlQlvBemiXroj2xPn gQzZOW/RSQtclbWUlgflNbb8AAVYqGrKylNlJcREwlMvqE6Ed1a7qRYGrfi8bPVk26wmMVi+ UDwGBKH462C8cJVJL2FGLfcqh6wmSLZAVn9N4jOy0sK94soJ/gqwEWErfRPfSLrIXhPWIWv8 LlZhtLlIF0yoxS1/+fL51+vHny9vr9aQdPUx1+OrMwoc1aqnyODdWpivedgyxRORwUtiB8kO gpCmjroz4fQ8DWO3fsAd9vM8b53nGJ4PFZYanlih8TBAZH77aBTMTyw9iwu0lSHEkqFneCvo qx8ubjg1mmLcz78gc33lclYiGrEMj/wNTuRhDqEgZlRHaJlJYgCN5SGM8KVMxFx3fyX9RX5q MXNUXaaamAJBf86zLgm8prPzALMeGlpyLU/3UKAiXF16N736cmTDunrQyNwNvErjhoNZ3WrB WgC6sDWwwqInAig8vGlNKYhGN+HkyEGD6PAOq1/KztTlQlanJoFJTVLHzABMMBBiinGmidGt hgg/+VjANDaSFM3Rcw+1bRgpRnMSHXySqRTzcn71HaYc3a9U/WnQNTuwbbpjPNaQSxV2gZoo Q5DI+yNBgztXjbYaf0pEWgZxdENmPFqHjouQDLE5cnlMWI+wTSz0kWbybS3QFJ+ySgUBKmxf dZpumTDnU9XY9SxvE24NqyjpHY1cJ8RDKwjrJXwXY3h95IXP5k6GUJyOntUuMi/mu3oqzcp2 paeoWBLsIZkxqnrXMCNsHlBvfYeHKnB8a99bPOyZ3eShcr3YNx7f8faq/RC99+dCaIbBfKzp Zv18/ezLf7UN2V1A2Y42QG8xZ9DXh8xsvmVUzbo1Nmgob5oGGi3LUz8wGpDpytxTnO0bem7B 2SHPtOQ3wDZNaBFgdaMoF7/5VrQFVNs4RFz4sa0GcfNlMIAB75X7w2noVXEjsPHAZpHvFXe5 2AJzEj0dg9R1aoNINiSJeg4ogXnop9jxl8Qi9Ds0a0Nf3LBF+dvN29S3FMxDh6/G4mKSHUkT +qH8qGDD9Ll4Q0papT4amUDhibzYJVjOMAHHlvrgGDbXyyxJ7N1syZPYctmuMiX7rVkNmR8m KSo9g6I4wiBJd0GKBTREzVcVniQKUmsGSYTqICpPohquqSDTjN7NQFGUNCj0rJCsSelQYpWI 63XvicTUPA+v8nkjoHmtVPBYVkxUKEnxz+mSJERbHzQ9fCytRs4oIjs01BBrOamlI1nf4Ugs GUkVb8IypOuSEjYmiRM5lmIBTPa7H+dJ8XIfaozcE9odir5/7EotMgs8wcYlmbXNXUlAc3XQ hlp1Wixnw54QZYrcd4YhY9GuUGXs3nN91POoxFOPnqUdWPooDnFTtY2LVqfQxcNbbExMXQvd yEfHACh5nh+hbSl0UM8yzSz67HtFL+otjrl2sULL8m5qqwq2aKYGpqtxKoIPI11F6zNDUWUk WxzIquwt6lq2uO5GB3g2u+WiSsGbN27lBKKfisbyNJ8t0DXuKF0gqsfYEibLQouFC5wD08RK ix/jfvaoaUMRv0ob2Bfggc9XRKBDX5D6X6TTpJjfsOqSSGKe2r6rrifFTxGnX0lDFNIwMCY5 wBOr3aptO3ijoRVrDR0EmBquhGVyO7S3KR/xKGFQcIt5hsuKTFvZgNK0A4QhlqTkAYY51mcY FQm5zrM+x76HTyQA24zyIUPWR1WhgKKUzqOKXCtaJICr9J6UDT2TvH1QMSHxJi1GZt0KPDAq +6AZP+T9yH0U0aIq1NB58+P0Ty9Pyxbn51/fZDduc2WRGpw7IvUlcBFucBrGhQXfN3LevDyV AwQVQZkV1p7AY03bd+e9XaDlJfzfkIc/EELZ1ofsRvUskoxlXkBQgdHoXS03Pq54g8yPOz89 vwXVy+uvP+/evsGmUqplkc8YVNIcvdHUjbBEh6YtWNN2ymWBYCD5uPO0S/CI3WddNlzhaE6o Lwle0rEi9AxRf3XfZwJ9aNjUrBEJeAD8ID3FxGpA6n+Si6utfrRGQHjkHrzeU3DiHJL37vPL l5/P358/3T39YN/15fnjT/j7590/jxy4+yon/qd84yjaEkbm+90ILoPs/Vn0ZJKTbhDxqRX6 UJAwDm86GQ4KHWVHx0XhVGyC5S6I5iRGRmoEviUj9B3pNniWdFoJZl51n6A6FY9VRA+9LhHb u5T8L0PUM+kvKNFT58oL04YLffqE1b5pDeFIqvs7N6s/QjVPUTwhcexEZ7PZjlESKbZXAhAn dNb8AE5u2og+XI+etqhtdGRm4PSafW9H0RQ1qapWGX/qIJHGzdPrx5cvX56+/4Xc9InpfRiI fK8jZg9QFbzVwwn59enljc2SH9/gQft/3n37/vbx+ccP8JYDcbu/vvypZCyyGEZy1S5VZiAn ceDja/DKkSYBbuM7cxQQ1znErhkkBtkSXZBr2vmB45hCZdT3UWuvBQ592XB7o1a+R3T6UI2+ 55Ay8/yDjl1zwnZCxlrAdOs4NgoAqp+a0o6dF9O6w2YKwUDb5nE6DEe2rb/J/eTvtSRv9D6n K6PetmzUROF8eTDnrLBvq6KchbmKwROPnVYWHPjedOOIHDwYxsaRBNjxmsAPQ+Kmer0zYhiZ 1c7IEXaYJdALdVz5Cejc46okYjJGBgAzjxKjVCbrM8jED+fiwEeG04yAWmkfDmMXuupJugSg b25XPHYcD0n44CVoYLMFTpV3shIVqVigu3s9YexuTG13DPVW9DHouk9KzzZ7G69XdIM+j+Wb FyaB4rZG68BSgc+v1nERI32Ak5PQ/G7ewdHndTJuTAtA9rG+wAGLeeXGEbqYge6Cp36SGrMW uSQJ0inPNPEcpM7W+pHq7OUrm2z+9/nr8+vPO3BOaVTetcujwPFdYzoVwGwdr5Rj5rmtV/8l WD6+MR42xcFND1oszGVx6J2pMU9acxDxP/L+7uevV6ZkatnC5oXpQJ47v4pcPMVr/GKRfvnx 8Zmtz6/Pb+AO9vnLNzO/ta5j3xxRdejFqTGJaDYi84dCqLquzB0P3wrZRRGj6enr8/cnluaV LRemT/C5n3RD2cAWrdJFyjKKkc9lKHukncWvb56TYFQ1LK1Ex6xfNjhEM5PtxzcqUpv1zXeR VRjoIXYnJOB2dDxiTvDt6EUBooEAPbR/BsCJJZnl7c3KEKOPihc4jIIYy5fR7QpRO8IrLPPb wihGhWT0fSHDKN1niL3QPm0xWLsgW+nR7sfHFnnj/TpLErPXAjUy5up2TC3Nndqesa0MMXpk vsCun4SJmfFIo8jb04jqIa0dx16XHPcNDRXIrnwPtJI7zfphBQbHsjfbOFzU2dmKj46LZz06 uzsI4HB3ljnaO77TZb7Rg5u2bRx3gfRcw7qt0HMUAZNb6sXuJPxYamn7nGQ1aiop48jH9r+F QbPzJeElIsaSyanGYsGoQZGdjHWc0cMDOSJTtilOMSTFBfeSiK8QfPGoGM3cgS4qR5iYOzVy iX1T88kf0tg1pm2gRsYUz6iJE0/j7OF0FlKRhMt2/PL04w9pQTM0ps6NQmzHL3Cwy4kM8Rk1 CiK5YLUYoUJ0pb7mb+qCjqnb9uHabOeP2a8fP9++vvzf890wCh3jh3nUxVOAH+vOEt1IZmM7 cJcHgrId365sibJgGqBi4mUUoJpEaHiaWFyAKnz8fAcbHiZXbCusHjzNHsXKFuFTtsGG6+Aa mxfh4RA0Nhf1xCYz3Q+u41qa4ZZ5jvpYT0VD/MZUZVKDuijy3SqWQ0j30Ng44J/RLAhoIiu1 Cgo6tLygmv1H9vkio8fMceSlysC8HcwizlyiJWVhr6FjxvRPx9r3kqSnEUtsvyqZy7+S1HEs H0VLzw1jHCuH1PUtw7BnM6+tcW6V77j90Sb4fe3mLquvAF+HDdaD4+gHNcu6gU1f6smmeYzJ J7jT96dvf7x8/GH65iYn6ckT+wHeSKNAJS3hmFaZgUhLbIEHZCzli1NuYX4apMobT2Qi/cEg QEeGsBP0gytFlwSQPpRDdi76FrtzzHvJeIT94Ju3KZf9twM1Z592vZkxXDjGfTXVNUalRXWE 6zEVu9R0Dnwi1wsgR34dtT5DQ9sc+CDCzcTaPp+OZV9DYAcrKxMdP7MCcBg0sSFs0yabyonS T0U90XNd4ChlFZ9/kAK2zGcWd0x1MdZkKZ0ImBM7DnYQuDDQsnKjQK9CHoXk1vG1LUVjNxpc oeFH2SamOPjoa0WRWU4zJLIqUk/yAjVIAJANGSVaykab9F44k7Pyon/0jIAdazco1grLA8G7 fxen0tlbt5xG/wf78fr55fdf35/gJlBvA3BNDgmxyeTvZSguEV9+fPvy9Ndd8fr7y+vz+0Xm uP3KBk+6U4RZpt2CtozOlEBG1kKa9joWBDPO5/0mdUO1UYAy8YA4EDfrUHz4xz8MOCPdcO2L qej7tkeSQ7yovqB0ZVB7NLAgTWsynUZsfVvhvri/wl09hHpor8MHjy0WjvktRcO+ZeFxUR6Q Rrz+5VYRV9oVTf6BqbIG57kg/XAoyCAC/o2kAjaTj31/UXebbGw7b/DAFL98w+FKHx9IOXxI MPno0HbyJxgMgNEK4hDm1148+XWVefBU6DMjm7X1lhnrh9MRV2n53FgTm5sogK85ZuXDOzod 9KLqEzl5qA4J6P2t0qQVIRqNmaUjDV+NlaHZPb0+fzHmYM5qM6PcHYFzfnK5h77MZfv8rYAV UUSCJ7/fPz99fL47fH/59Lt8BsoriJvLlDf2xy1O5Ed8CporMTPsecuJi6EhY6mt8TMR8wvA v65l9WJt56zs+yud7gv0yY/oKK539eXtOV88+S5SaChqtzu0N74BtmV3zdWcRAhubUHPj1q1 9a66g5m7naUQpsLpXY7oqSkZyQkNFwl1ehNWV2BDyUY0xTpH20NEGT4+p/tr2V80LghDsoYM FecM35++Pt/996/Pn9minevn58fDlNU5+Enb8mE0bvj2KJPkL1lULK5wIR/DMsjlt2DsN0Qh nMaCIjZnIAL771hWVV9kJpC13SMrjBhAWbO6PFSlmoQ+UjwvANC8AJDz2r7zAI1RlKdmYrN5 STCNZSlRMZqACiiObJIo8kk2SGH0c5FdD1r5TClXgtBAfZHsUpWns/oJdZsXs1qpljaUFZd+ ECHpzYb/YwllZZyGQWXy8ahk2NWeVhOMwur12E4Q8ahtGs3sT8rtkU2PnrIvlalG1yC99pup sRA9Xiu/rOmAW0sxkNWgi2nGABVUre4mkPfo0CQnopXVstWbB22zlUfZzhJeQ9hwEfUPF6gv R708IFlegS8o3z4pYnOy3E+U2oothiwMq4rECVEvbNDFlrALcgpBZFvBqiqa8or5o5S4HulQ Mp0EzwN7vLahilkifCPfKCAk/a5xA9YasX3+zGd7SQc9cHgUM79OsgxLMjxqsjDKZBsfgJ30 GgYiKrnU53wtDfVhLFmY+UKjJ+BEe0ebcZJl6gEFQOj5BAyvUh1dI7fHhckXtP/sSA30NkeD LQ9snA+P6tgsWjYRl2onuDz26hzqKyv1TFjF1shmRxnbNm9b7HATwCGJPL2mB6aSsWXX1qNI j3k/4nOmr06CbEssllo5+Uxl6zdhSsCImrorPNmVqfO1krP20JtTaHY96v0MV7FhwjgwNek2 BKFqpsYQzD243KL8Nam6TBVsMDdtreoUEBhM8bW20bip60lbFxZMnxMoZXOv7HWAf2zserJq i2o9fFk8PH38ny8vv//x8+7f7qosX6ywjaM8hgnL5PkhyFYeIItB60ZdR68l1YZfhtwLlS62 Yd0DHgx04xCeRN5hmt8WvsPFnUsjzbpx3LOhOj1URY5LKx547eZAyZnIYd83RH8LJMmVd0ki X25pUIxC5nM7Kdn6Zhj5Crg08x1stdZ4Ukv6LgktvggUJvwprCTk8nrZQFSnKFKmY+g5cdVh 2CGPXCdGK6PPblnTyMPlnUGx5MHULPDlJvXqc16Xi8KZvb3+ePvCVMx5WylUTXNkwRk0+5O2 so+j/FrXj++Q2f+ra93QD4mD4337QD944ToxsMmSrfJHpolLOW9zmwmzUTuIpYttCHrsoRCW qG+HxUnabtbzjmAgl6IdtXjs+3W3Tj3tSTFtht/g5RqCjrMZF5FX4uBKsjSNbUhWXQdvjmA2 C2TccSzJaHttZOeL8HNqKdUszVU6nGaxabGUXYUpuTQ5P4HqVVKXqQmm80NedCqJFvfGXAv0 njzUTAlXib8ROWLqQpnKprsO6qMbKqSHmwe5woFclzfWrAxEh/wst45rKPKx5x4h5o8NAa9G /EUNVTE4/WN6QU4/+J5a/vKAi63c8JTHJgfTz6Yj1T9vBFc5tJjVN+s3bmxlM+BvD/kHWNRs noUIsKZ9cU0memJjRyVnQzVVRW60/RUOZ3ukS8DEYOGGttG/GtLMLbA4crRIDZzQs5iqVjSD WbLZ67YUojdpEFOhzDR1dw0cd7qSXiui7Sp/Uo4LZCpkqCLjzeQmWRpP8PY106tBOHqz99xS T0ByN0kw+0EOVvT/KbuSJrdxJf1XFO/0+tDRkihKrJnwgQQpEV3cTJAS5Quj2la7K9p21ZTL Mc//fpAAFywJVs/FLuWXxL4kEolMT5cnB+oOv/2XKPV3mvtgIDKaVkYL8SWXdhVGE3oSY+UI 2yDQIpUMtK1dPE71nKW7bI00PjSepx4WgRg1waEz0xXEHhZ+EcDYOWNIuN6g13wCzKnmdkz0 fXc9JYVp/zUjrqTYbhsY7cxp+84quaTyw9mlj1nlSq7pjkbB4rDOwq3R6CfhitnMIguvwOpI Wya0QxLa4QlhBoxiVpVFaH6R64oaDUtIWnqu5YsWMT2VeqEkTX9/NNPj3xeToqXV9ON32LWt KGDebtb3Ri8OxGEt0CskIWdyBdt4B6t3JBn1rw0o29x5xgwA2j6w0hFUud0uJMZZjJd8gBxz 6WZCS1EQx9eOoGXGHZ2K/dU9dgEy1gsuT2wOmy1CtMecsMoIOtfoHWEjh/uyPm22ZhZZmYUG pdvv9rvE2vwTxk/ZHk6VTWxgtAv1h81ALfKtj5uDyQW/S9EAAiBg0aqhcWImWOeJw0Z2QO9c a5vAfKM9WKJ6oBCUsqDkTKPE2sMRNY26EdIw0H29z8Rpx9BFHNBtlAyNgCR2Vj3cCidd86Nc nsWBKI1/FSYByiMNMdiMDuaEyWMvF3GYjVomQyMg5OGFER/2XO4WBOfIDwfpN0pMyVrHRBO9 29g5VOBEWBjgoNEyRzYhbkA82qxJ7u2MJCwvKl0oo6c8dLSE5DgvrOUzFxxa/wGbvBb5J4ws 2K1dMpDCVhZJF5oio4KH640pouiot11GYXt2cgjTOHfTemt/5xyXNjBEchVxbKW4/G5tt4+0 V4P2BuMkPjcH3yLobfk0Xewi1oldAl7XYdRhlcor3tpYW+sGK1N1YGBysYwX80MyO56flu++ SDMjMUmPhcc/IGKoOAVfaJ0Il7LmuIWo3figOfJP4DNjBxyomKgXU4Kp8qQUeLxYWxZzXDRM +ZTa3bIQYJOotPKdygROONaoFwGNrQkZCa2VdoLzskGjNA48x9A85kvP4OaRp+ICdmLtdVUs 3oaTo3NOG260NaxDPcqJr65Fk4JoZW0uYHMy08SxKxI3rXJ/oLGtHUupcsjlP+YYvHzmFKdG 833M8Tq8IMVqrWTmmSwfATzfPj4+fBFlQDzjwxfhruHyL9oeAiZ1i2s9BerQLQushdlm1DLJ 7mlh1K0HM1VdDWfAlP/C1HQCldEJrTTL9hRiOxWAeUj4OnDVy1bVZUzvkyuzkhJrqiv7qzBh M7/hHXYqi5oyV+skOeuPR/Mz8LNTYhevAvzAS2d2dx7ROjaTOR3RCPQCysqalqodAFDP9Bxm qnICiDw3Yfpkpn5/dVXqwrf9sjL5zzS5CHHOVaRrbShWgUpJqLqGESTdIReQfg+jGhcGAG0u tEhD3J5Y1rBglM82h8kxsGTEFSBcoIkx//juV55Ls5RglrU4y8R1aM67xdWyOW/Z2myiPLwK /zpmdsLb1wk1vRWfUVJzeffYGKmVYKlojrCc7/l0HAYKvWiM0VLWUuLTSlJxQYhPbj7mcMtT wZM0YXYt3ItMxac/XFc48SwEp0l8gGEarYHjyibt/fSxQuZz0fUtXBJ0el35gqOJt5KWs1YN yyKISY5wQphWCKZjthZrLKFJR5MMvKSh3pYER1tUmTm169zoqBMYMoZMN1ubiEZD6CXI+dHy 9/IKmTiK0FB79PMlgfEau75I+QzM9SK2sN/1FfN08oXSwSmfQuxokVtZfkjq0iylznCN+c62 MO9lsKQ+bSP35pdVRgbj8zpk1xXbLoiCujgwJQj+hlLUzk5OAbnGDxmY6UzvDByJg9m/3Mwr 3Ijc/FaJAgQ2AagII2VfDuvCzEyeDAjj8lJMMrwR3sZMXhru5/GKHSXA7OqAQTyHzfaazfSx z6fzh5qZ0vhlSmgPxnVZMtgBznVSPHnpRL5ZG7GqgAruzpoaPY0D3GYVHQRELamiMK6AgRzW /NidhqxPSawhZqYVwU+7IpGi4EcUkkjlrvR4qTIj7iJgiFnu5oRXriH+FVgnUma0x5GnTwva QMwFWKh01HXNJZq/OVkEIZK1pMmobhg+wjFlIhxY0vGNq4DIYS121BrZj2oA5aGfmOgoiF/P CXb/Kmb+MmDZu60K53PILDEln76/wh3v6GouNq0wRT/vD916bXVn38H4w6lxdCK6m84JApMa fmBIGOrAeGazDFkAStAsBbUGS17enH3TIGjTwEgaXzmZ6JFleD6OYpRdu92s02ooilZJyqrN Zt8B5BzdR965PIFFnnIogpOhBcWKwaDO/izYbOy2msi8oJb7OAmiQonwOheE+73Pz4pWqpCe HjtqpDJ73gNZuKIEzZ01qWFYSsOoFfny8B15Jy+GOTG6RFz3qioXIF5ig6vJp4Nmwffl/1qJ WjdlDdbvn27PfMX9vnr6tmKE0dUfP15XUXYPy0/P4tXXh5+jv8WHL9+fVn/cVt9ut0+3T//N C3/TUkpvX55Xfz69rL4+vdxWj9/+fDI3zpETqz39+vD58dtn26mMmMAx0eIXCBqIx5rQBj5s K0M/JWlnbAbN9B5WFPYuQMCCyxaEqZpWCTrCmA1ftjExszJMhsUSExcMc3E6Ypi/AVFzMZ5i 0+usJJf2GiyAUxifEtxocuKJIRJFXWZ2D1VfHl55135dnb78uK2yh5+3l3FY5GLs5iHv9k83 zeWAGKG07Msiw7QCIscLsXxNAk1svs7CCg53D0hcVhhN/J/WU24MimijJ2R4rATK2P7yZfLD p8+319/iHw9ffn0BeyJoodXL7X9+PL7c5NYtWUZBZ/UqJtjt28MfX26fzNkj0ufbOa34Uc0R Q3DiQ6uIsDk9yE4sTQ1GOTllLAGV3NG1TpIUHEslxmo4UntzSsyIHkhQg3JTFJgQSxU+7kKH /RojboYCWLsW55dB+8zGQvjkkBKcrqTcQwu6W3QyurRLt9rW1iSoo9Gas58GtqFNXFujZJLP toztUUIhrUkY2XUb4fre26APOxSmSXOI1CL1dhsUuaT89J0mYYOioMuW9uSJLfmNaVdcsrBd 6Q6g1P31OWbxqfAleZWc0OSPTQx3JiUKnrlMUaMIrcL3OIDzJ3x4YZuBAePx9NTiBputt8Vr Emx8z9VQJ2HXvpw2rS54ldrWkSroaquwAIX/ctIDI5r8fcaoK/0yonxcoy88FLacNH0rmwVL RZjJv5FCyQ4H3VrGQAPUYZjK1LXOMVyE59xR+yrbemtroxzAsqH7wA/eWh3ek7DFLoRUFr54 wVHZkRGrSBV0mLM7lSk8uhYQgPoqjGNUyaStUUldh3AFlSWMoS3CrnlUutbLxi06TEtClNRg bbpckMvF0SFlpWvCVSgvaGELHsqHBFX5KkwdaLX6HB8mF8rSqCycjczajeNVt9rTDeZyTWFo q/gQHNcHb40WosMXsFHInTY8XVmBXG2Jc2dO97iRyoBuXZtOGLdNi6xmZ5a4tDpZciobuCow dAzm4W7cNMj1QNQIrhITL60tGSB2XQ0AKvaQJDMHlLiai7n4AFoL1Q8N0Pv8yM/pIWvAtctp QQCgjP93Rl9Di9pZB3Yu1RUkOdOohrAuzoRpeQnrmi5wwJnWkWuSMi4tiUPvkXbgYsKUzODa W78OB/qVc7pWquSDaMvO2N1ABcL/3/qbzj55M0rgD89fu05UI8tuv94Z44IW92DGmMhn4KY0 GpZMXvZNI7766+f3x48PX+QhCRf2qlS5vSnKShA7kqjv+sWZDU5PZ00F2YTpuQQQIUk5NrpO NiCIjOqZ3hgVVbWj6FqJ0EPVIBcvHyZUJngT7njPa7O6DhwDF7QP3ONedJ3fgA4qh75o814+ AWHvFPv8dkHEnrv09vL4/NfthbfMrDXUe3TUbVmnnFNt00aNkqUa7sLtAb9fAzg/Q1KLsOfa WHPI0BJ9opgsJsm3se324F6a5XsfS12nDim06fQJFgn7IEYbY3k42vqusbtMagLrsUkcQw9o SWLfH/sySjqTVpiZH/vEJlVpKTd7PZc2YjY1h5eIw4A0sSMzKW1INpZrjAnaWolrjxYkTbvw GcqLaQyPfWPWTP5plmqkOo6rE8w7zjloJiZodJcuYeQpiLXLTlhCMOMJk2XuCzyVuoipeyWa U0rezAwbChNo9D2eybHP4EXt26U59o63QAYXjKG3ir0w0nQea/lQYBh9b2eUUksOUbM4u1QX CtM8fl3JNPqwmFbxQdX2/HIDZ+5P32+fINzQ7ITLEkvhctp9VQeLi0tG0c3CBtIbIw04jEGm 74kwFxZ3QmsJaQsCpxQ3HSupgi4XWGFcVjy5l71hj25AtjUmzgldqcW7rUkG0djRhY3EpHfs LiB43evGFZLM164+X5BNpKmNqyewMX6Cm0HcMFzClyQioatzwcRCEbuUzfXtET2JiNdKf10m CHyqVFiuEmyJ6uAPfvWEnLS6Ac20VdAzEJEp1VhIkp7GHmMQzMMEGAQi3OyFKm+auc3P59uv REbsfv5y+8/t5bf4pvxasf99fP34l236INPM266vqAcngLXvbc1W/P+mbhYrhCBj3x5eb6sc 1PvIGVcWA5x0Zo15+4cVxZGiNijgDbN0HWqONoDYYN4Bl8pI5+S5GnwwJ30Eb+AQ0mgCMN2M MYhvpT+DBObhaCTvg3LyG4t/A863b9rh41FpMF8ccSKLU4ehBKCXiOFXxACCDgszBBQFpUcu EcR66VnMF68y7QnT6SQ6bNZmwc4iNCH/y5HDuY08zQtwDifLlJiUOKV73lUG5/Aiw3zbqUIt aqcuyvs+VV8jAill742eKllKo7CvTM68UQdAkrOG6rE/R5p9zBtCjX19evnJXh8//o2FGRu+ bQuhBKwTCGOv5MequrRGIZsoVg7ugWWXV/S5Y0WfmH4X18lF76E+WSe22lcjZ89krdtcqHZq BxMf/X2RMHMxwi/OtN4yIVUwsSWRMnPoaQRnVIO2pQCdVnoB1UVx0vWw0kl/EtvdJ74PVWeN ggJe7/UQCTMZPzSO+N7hMFrgMqI40gsChRDfvq7FV+lW9FadaxnNKu9uh71WnVDfzjirfJfj +AE3fY2YPZicIW4ExXwBzVXzO7zKfvdGpYBr7/BRIxik65ceLGxRe9GJSY31IojS+41B1AKe C8oUPdqgR/E2WNsNOjzWYTvcoahs1Mbz7zzr0yHsveurhoQQodsoRpMR/27TmfUQXnt0Jc00 vP3/LEwcYQPzx5fHb3//e/OL2NfrUyRw/s2Pb+C4GbE8Xf17trL9xZh6EWghc7u2WUeqDFP5 jHCt3mcKIrjGtRIqKDkE0cIQaSivdjuYUVpVl1EtIABb8/TCJaWFNYTxqe+HWJvu1+g7aDmA msBX34kJIjvl3kZE1Znav3l5/PzZznUwHTSX1dGi0HD0oWH8RM/SsrEKPOL8gIT7DtC48sbZ SSPL5IjYURDUtaDGQar27ZKE/Mh2pg3+iEfjdETB1ms/2JjO5pWPz69gu/J99Sq7Yh7yxe1V Buodziirf0OPvT688CPML+q+rfdNHRaM4s+I9dqLCNbOxqlC/F2LxlQkjeZ1xkgBHn4VDtQK c6rXosHsn8CkgbHZ8d589bPZXPl2HYKDR6dimi8hD3//eIbWFL6Kvj/fbh//UhuSVUl43+Ie 0h1fzx9T/m/BBcUCG7lJHHIxuynBSJiRulXEGgFZNthAVWsouKTGCRy2OpRZgsvlskaAycHX I34JKg22dwcfW00k7K11NygDdeu4NpVw4m0WGToPsy6R3/o7LENH0JUB3KiHCEk7aAeLuiG6 Lxkg8A1wtw82gY0YgiWQUsJPA1ecOHpx+tfL68f1v1QGDjalep5RiO6vDPNHIBXnPJkcI3PC 6nH0fK0s4MDIBYKjHCZqI04IuEZC2nHCtTmtUvuWJoYXIFHU+qwdaOHRBRQPOdmP7EFQ5QH6 3HbkCKPI/5DoXkNnLCk/YC/WZ4Yu0K2bRiRm4H1x4VNgOOwcn+4PmBXAyCAFV+xTLhrt7xyT QeEJ7tZ48CaNZ4sZlGgcd4HdQYh0NkI184m3WDPKso0WXFIHtlss2Y4jS0WtyDHwt2gHC8gV D0pj8vaY8KqxqMYIGhAgQL7bNHrcIR3pLzEazn5git5723skuzDLQ4bMGlD3BXt0pHIsWK9R /5RTxxG/QWvB+IHybh3awJGLgB5avZrPmA22vCoMvupwSf1w69v0JPfWW3y8nTmCLf4qg2qO N9MDLfDVVN2Yz+lgXH4gCJy+/KhL2RbcdMBbRarygyxuL1vWAuAZ5nA60qeX3PHyThl32812 af0RjXNH0Gwk9g+yqbv9Ru9M3Vh7sZokL619Y1j/tqgTAYXB1yNPqoi/PJthdQ38/hjmFDV+ V/gOO0cnbHeOqOYTCz9/o8FnVYY9uiSx5n5zaEJcLzGvEUGz2ETA4CGTBej+HbrssHy/dWh/ 5lVnF6yX1u+68skambswntY22fRtq9J9hF/xXSvG2dO3X+FwtTjKjg3/S4u/N9WYCOf0CNDs PbGDTe4nmIyauZjR6ABabdw4D12vBTkUtUf7iSC7FkRY4czlYhdBVe585MczQf7u8/KczEEp 1FIA6rYCGhjGqGOOkCSSiZ+HzVe7RiogDwqlFf6416j4dOhqu9nYbqCBcZ1m/5fGu92Bb47T s1Gdrlaa5jxNRijtM/RRGqdulZ2yEnFDpPK1z/nxT7sTlaiIzjFic7imoZR9lPWl7pFCRfCF VOEQamTsqlGzlaFlT+hRJ1Ri+CUFrd/rQAzx1TAgTIhOYElNSl0IFimDw3H3HTLn4EfzzihN 3WqmwZyUH/e6O7jzEdVhgCeY0bfmnAKErTm1if58qqBNXfZJwU9PZ4fBWkjqok8ZdpFqupwZ wh5V4gVzZNHzpGgxZjwBw15jgM5xpWlBxi9y1H5lQCPwtqQO9IE++q0zU8tzZ7uK4RD2jA+4 JB4s7pR0ZemUX/AeRcthoEGPo809MUSm386RQVhB0rLJ1BaWT3xkQJY5LUGFZrevsx4/vjx9 f/rzdZX+fL69/Hpeff5x+/6KvdpPr1VSn9FF6K1UxuKd6uSqmXkOhD5hitzIl6NENfKSv82j 9USVujmxVtIPSX8fvduud8ECGz9TqZxrgzWnjCjTZl5cJByVqK5oQHXj2YFYhbX53GVAKAsX vN+On8Oba2d5gq3vm6/tdY4w5v9cwGFeXJ6QFAQeQi4bI9K4k89XNTQIrLr8RmA1OqkN71Up woK3a12Ytxnw+xSLDxRdiwlxoQkP6W5zGlF5TL4MOmivHcV17NDpj5V0NNjssds6neluowvx Food3SYmkAbpxrADMFHUVa7F5CGVHDGs3wdsj42osxz8us55RPMqI4Dx/n5jAgjOimy9vb7P mPjeMy0SDA66Rb38WlyeXRn+q0nIQn3ikK0Dp9+MkanxcHXqiF8LYfSwWXfYgDrxpS2t4sUs uHjRLVSSkkrew9tLcfg+KsM61sNwDeDvtatt70H534JRmztTIhyK8BZCVo4JcyGq61MNyd0f 5dhXuRH5eiJD1ZGaFbTf+6jaQGVAOwqQ/Rq/qlRYDqgydmbIwqgijnYvxM6Cm3dqLDk6XOsm 9pcWBLbf2ptArtknzrlweYrkMZKL9LT49h4pzPRNUXeaM3fBxpIvIFv+1d5fY8smR2KHo0GN Ax4tvc0lfMi6C3/O74M1sunxrd0e7rDfu8QAtpDJvfxfE8jt9RFrJTGIHL2GkeuyHUIC2rKR 3TuC2iddqL/X1tAhUcP5chOeeDZo63fBfvLugnkYGg+iubzfUwTSQe3QV7TSDNhJWvMSTYm6 zKyyLCzKbmJD8mRtDQ5F55S0Og2gN7i6Las6OblCkI/Mpwp/MTfiadlUmUNXMZUG/HdHbePy PTjyhScusp/Mt3TjCQEc85JM9S83UMDVLZeC9f7Ny0LnnmmzLkueQL48TeZ2wuwEonzXtz9v L7dvH2+rT7fvj59VrQ8lmhTO02NVsNHii//DJJGi8ePD3S7w0WIz6muP/w3Id0K7nTGnR4zE JDmgkRlUJiaCXJJKr3Rzyfbr3RrN07zbUCHVsqnjK0bR9WeiHNnTC6toodosytZkTz9ePiLR PnmiybmB+2pfEQ7Fz163heScURZPnEZvGemPH4FNWaRHMagIpmEB88Q67HPJPBaDV7zl/+rx MSV1uOC3Ts317evT6+355ekjeluagFtA87p2qgvysUz0+ev3z4hCtMqZeqMMP4Wiy6QVzKT8 H2XP0tw4jvN9f4VrTrtVM19b8vswB1qSbbX1iiQ7Tl9U7sTdcW1ipxyndnp//QeQosQH5Mxe Om0A4gMkQRAEAZ5IbVmHduzAIMDENvacts1a2xSxIENN234b0Pt/Fr/er4fXXnrqec/Ht3+h +8Xj8cfxUfFjFQH2Xl/OPwFcnPXrZxlAj0CLtHqX8/7p8fza9SGJFwGidtmXxeVweH/cvxx6 d+dLeNdVyGekwiHo/+JdVwEWjiMDHv2mFx2vB4Gdfxxf0IOoYRJR1N//iH9197F/ge538ofE NxtVin7kcoXvji/H019dBVHYxgfnb82EdkvG/XqR8ywiwrQvfvaWZyA8ndW1UaNg197WAV+q NPGDmKlpvlSiLMhxz8U34R0EuO1igHnN4q8QoGNhkTEy7rlWECuKcBuYnbBeBrT9NVM7BbvS az3Ogr+uj+eTDJ5G+IELcjgze1VHwIeaYlEw2L/6ZkUy2KNZYB1AMykHwxmds6MmhH3RGY4m 1HGnpRgMRiOrZoBPJuPZgEZMhySidovQ4eauJsFlMnJGdpfzcjqbDBjR6yIejci7uRovn60T nwIKFg4+w3Fp15EY9gcyzV+o6tMhGqwNu3ILg2MqCfbVMH06PEiWRhpYBY+u8mmCrxUoxQ4J 1zwPt3ZPhuDa948wgiNW/Fd9mad8Y5Hy6gtcpA2Jq5IUMlqo2QlA1B+QDNfbyZeZtV+xx8fD y+Fyfj1ctfXJ/F00mCinxxqgZ4idx2yoWgbEb5PGgzloZgxWoTq9z1x1lfpsoObphAHN/f7M AKgXs4tdVExnY5ctKJheF2diWbdiwHZh0YFDRwyJb/i73hX+jOT8eud9XTt9h/L2ib2BZieL YzYZqtKhBugtReB4rH82HaoJfAAwG40cI0BiDVWbLUBk03YeDJ92zAbQ2B3RyW2Lcg2nFUpa IGbORtrJw5hpYvad9qDiYFy8p+PP43X/gh6rIOHNuTjpz5x8pE7GiTtztN/j/tj8XYXijMdy FkXq5AP0bKabnzwHThIObiP0rTSb4XRdZoxMAu5HiYvfKmeFnZZeVjjb6SRR6bnDiWMAphr7 OWhGu9nhxkM7lOFRbaxWH3vZYKjmT0rYZiIeZ8j9mO8gooMttERjtNefOiasgMk90mEx7HE7 vYfbMMPElbBAdXh9uNqxOmafnCG3ZoM6XxaX8+kKSuGTri5byFrJfnsBlcvMuRF7QzNnc6N2 Nx+IL/Zv+0doDp6PP5+pjj7rP/9Y1PF8eOWxWYSPiNZUVkYMww/UwdDpW2pOE3xLCaJG4gbj qSar8bcuZTyvmOrXKSG7Q4FCGpGKSV/1bys8f9A3xI+AaXUIkB1hAhse5pgEoFhmA1qF0GjI YGxFVqjClf8009ILoGgBdcP8bVoLBzmG5uAIj57jk/Toga2i58F54nxS5yNNoG4vcVEPV1E3 UTgkA3HhxaE2F2S0dhMnDp1FJmuym2EjjR1ObwKNq0dV6PT1HIbpvBdLjl4Ko756awG/B+r0 g9/DoSayR6OZiy9hisCADnINMJ7qn41nY0ODKIZD9cotHrsD1UETxOPImWjScThxdXHmM280 mjjqNLjZ72bknj5eX2VKacUyh+wUJzWZLFfX5BSc0NQou61F2eie2gTRmiCecGFU2sPp8Vev +HW6Ph/ej//FN2m+X3zJokiaI4S1aXk4HS776/nyxT++Xy/H7x/oYqXOqJt0wnXzef9++CMC ssNTLzqf33r/hHr+1fvRtONdaYda9v/6pfzukx5qE/fnr8v5/fH8dgDeyhXWCMWlM9aEJP42 BchixwoXFAaXfCWebQZ99dBVA8xC6hW2fMhToVrSOny5tF+uGBPS7o8QUIf9y/VZkSISern2 chF+4HS8at1ni2A47Gs2WTy89h3y7rVGaSEXyOIVpNoi0Z6P1+PT8fpLGYt2V4vdgUM5wPqr UlVvVj6qb5pCByDX8BBvcWXhurSLw6rcuGTq1XAiFGPlt6tt9FY/hESANXLFp6Cvh/37x+Xw egDd5AP4os250JhzITnn0mI6EYcrooHreDdWOBIm2yr04qE7Vo9nKtQQ94CBeTrm81Q7jqsI YoOIinjsF7sueNc3M7/od8GbnjcZSjp5KJ6GHn8+X8np42UhJsCmNSb/q18VcLakDOb+Zudo vsYsGvR1JxGAwMKkLh5Z5hczIxU3h83G9HxkxWTgOvSEnK+cyYhafIhQ91MvhjKm+p1ujH7+ 1BUK6Oqav0o8GI/1Q+Iyc1nW79Oe3AIJve/36TRF4V0xdh2T94oSx/WNInJnfUdNZqxhXO1x Eoc55GuirwXTc/vmWd4fudrJKh+pHuXRFkZzqAUEYbuh7uVQQzQ39yRlzoB8JpRm6KGisTCD Vrl9hJICxXEGmqcsQoadB+3BoEOYwbrZbMOCZEzpFYOho4lzDuqI+SfZXwKrR+TBkmPUJzwc MNO6jaAJ+T4LMMPRQCPeFCNn6lKOhVsvifQBEZCBdj7eBnE07necFgRyQq2ebTR21NXzDcYP BkvT93S5ItxG9z9Ph6swYdjKA1tPZxPVSrHuz2b6cao2e8VsmXQIckANtMy0cewNRu7QFpe8 ENpoJcu3bVZyjOH8O5oOBx2NkFR5PNAequpwXbg/sJitGPwpZNQQ6SVLMU2wsw3DpCmBGrze Rx9fjieL8coeQeA12ysPU4t3IM3DTxlOoPdH7x0O6E+g0p+0DBch95EugzzfZCVlaVWZzt8r tBbepmV0LfXGdQJtib/m2p9+frzA/9/O70dUo6ntjAvVYZWl9IuIv1Oapga/na+wkx5b06+y N46cDnEDKJdc3H7haK/d8JA11E5dcMoS0r7VLQE0It8MlllkapYdzSa7BJxWNawozmaOfBXe UZz4RJxeLod3VDRInWKe9cf9mPYqmceZO6X55kcrkEV0VCs/K7qk+yrr0w/RQi9zutTyLHJU 45z4bZiTs2igExWjsS6qBKRLSgFyMLHkjkzCSkD1+svRUA94v8rc/piq6VvGQIlRTvw1wNQS rUFrdcMTJh4ihIaNrIf//NfxFVV5XEtPx3dhvaNWJOokI3J/j0Kf5ZjILqi26iKY66kbMuPJ Qr7wJ5MheQNX5Av9ZFbsZp1KwQ6a1YGCYiiXaNxd9fd122g0iPo7m9E32VM7iryfX9DDqMte qniF3KQUgvrw+oamBn1JqlKxzzAQeaz4AcXRbtYfO0MTojK/jEHDHRu/tTfAAHEc6ma3BHnf N9QegLh0qGSqA4pSWdLJLbdxgPkJKdOr6qkEP5roCQrICrvHgff09QbiakbS1YnYWQO9iigr Chtiut22cMI5UKPioaymmiIrNv/8rvf4fHzTXufIjd/ENfMiw7xG4tVNK6D5XUSJrupdy0Om QUm9krQOgywLSu7VnqdRpEdbErgyxPHwiEhK2eqhV3x8f+dOIe0Urt/G1XHjFd14XkXLGME0 y1YPlccSEUQHo8uTysnci6t1mjAeP9+sAovIdqxyp0nMo+RTo6/SYCFmAR6MW9YRtxDx3OlK hOFXZouOCD2z1DqRL6+xs/s8nKhLBgJAtPDhQB4GIiZmK8S0kVAKRT8Y6A594ebN7SE9XPCN OheBr8LgRU3TW2TNzNJiLrCi8vSgrjXodhz+odVCdnq6nI9aujGW+HnalbW1Jm83snmy9UM9 a4zMIGi+O2xlGj5GpZxxAOFFLFTk11zNbSmqqur871I/UhM/Y7UUoFqLcDNNQfZPO8iMACc4 TxI/rdIyo5rMiXIlms3qvne97B+55mA/GCxKyv9ZzMVSyd8tIabAbOB2nmCTYlnSycwbAlhD N9pSZSVdMzHFpJnT7rosdZEtFSec2uk0yysraSMSVvEylzTeNjOQ8zz01ZfTNeEiD4JvgYWt r5MzjFjmpZssUn1seHnCm1wzpyLYX9Bp9sqAvvCs0kzP/5qEGEuJZwijd+oi1B108TduSl3x 14oojI09C0FCVHplTreXH1Lh/0lAZsmqnxnpM08caj3V804M/12gqlFa8j78JQS2moOUQz0R hqmVlQgsElrGGN584orqiHHKuDxWPR095q2C6j5FFwIeUE2z/jBUs0HFxvD8LC/IDRBwYRrr iXuDXel2xdgH3IDOSgKYoZbJgQM2RYCGBV6mgcJmpUW4g6ZHNqoIvE1uxIbjuM6YaIhcbzCx s/Gm5Ovcd/Vf5rNhzFEw58zUFZYQmIZx9WlefLVQcslxhLIEF02q02o71OF3m7RkOojgCoLV mHL4O01gYQdNDLqmWQoO31eE1LAjzT3LE/O7LuYuF4Vb6btD6gkYpVWVucEBCdH61m6YEgsD AGoprrRl3hWosSHONwnoQTDeD1V3RA1B3dUtgWUFDHNJNDYPFhXojSLUh9zvwqjhhZw9rtFb DsDoHAbLasJqx8qSXIxuwwO7fP5SPUy+Bp6efU0WiqH+0ZRAIqNvKdUQAOcdqTVbEurZp8R+ K0rfqC1Mseeq8TgJJH/a0jF+LvVKsUso4NrRhYuA1KHa00zlVxgF/AmJYT7AnA+Jlz/w9HV0 3Tja5YMmGATIPjG2qPkmjMoQJmO4TBhm+qLWxKIggsYIEKmDcIyMWCvLYHYZElZvAOgni+lq oYf0guDyhqiRwzHwBH//wfdA9A9sK+cEXqk6Cm7KdFHoQl/A9OnL9wA9SoGRKa7ds0QUDVKq pMDuiD2YYqiBwnL1wxyWR+WHtB8YRcuiewZaygKOq+n9zVqBKb6aKUnB8HQiOzOcg0KwgwHl vPmsXXEATE4zbU7UfnaPz2psyARzntjBRmswRgZSZ7Hc23RAQ6dMaoHoEpgcy/OXtYW1MGWR NA5+vNWiB/4feRp/8bc+V2csbQb0xNl43DfG92sahQGlt30LMR+zpnD6dmog2Q66bmEeT4sv C1Z+CXb4b1IarVNMvkDZpQtsF1zad+hMN5BJ2a1gIM7Utlo18Vazxen7/fDxdO79oJiND9G0 VcoBa/0owmForVFXPQdmmFYuTmHzVQObc5S3CiM/DxLzixB01Nxb1aHWW+w6yLUsPYa1rowz fZQ5oN0k6CMKp7G2WQMPa9IPxnSUudVmCaJwTgoiOOsu4KCeB0x9t847t0Iv4XDJkjIUTFKW Cf/T7oTS9mEPkjLlMOoMX1oPRRl0vC+GJQ8ngHUXnaSKFKbCjyZP4m/H9/N0Opr94fymlBmh QuEHfJyHA8rIq5FMBpplWMdNqNt3jWQ66nd+Ph1R9n6DZHTjc9o/XCcaU0Yyg8TR+adg3E7M oBMz7G7x+HN+jcedBc86MDP+jp+uckY60Rifd/VyNpx192VCLy8kAvmN866i7lu0QhxXdRg0 UY5ZOY9I92mttEORSkEbVlUKyglExQ/1VkvwiAaPafCEBs9osDPogHe0xbFWzjoNpxV1OmmQ G72omHkVbK5qbl8J9gJMzULBQb/c5CmByVNWhmRZD3kYRVRpSxbQ8DwI1mb3EBF6mIqYvm5u aJJNSKkdWo/JhsIJYG3EqETUplzQAUf9iMx+loQ4y9via0CVoJtGFH5jJff0r+NJKnaqtLq/ U3cYzXYkPOIPjx8XvKO0ImPWpuWmbfgbdOU7DA0oFD3K9BfkRQj7TlIiPcaZU0/+baly8803 QOwb0Ppk1sLVNlT+Co54Qc77TO1uSMPPQaEnaBR9ojYkYaTGgt9ClXnolTaBDdEVj6agesOl OIEyqWRzOH/CAotYadhVmyIyVlJxKHlkjBXL/SABRmx4xMgMjnZwNvH0HDIWkVqNXcICipjT D4AXcH7A82ORbnL9ESVqajw1NBwpYeatgijreEvZ9KuIjUpskjKN0wf6HNTQsCxjUOcnlUUp 87OwIzSJJELHq0/azBZ4M2ne+Ni1eWs/vU/QEfcTSpAtHfEZG9OWyucG2FoQaEN2R0+CLSVA ZHDDdv4z9XldEf/528v+9ISvFX7Hf57O/zn9/mv/uodf+6e34+n39/2PAxR4fPodkxP8RInx +/e3H78JIbI+XE6Hl97z/vJ04G4irTD5R5uxrHc8HdE9+fjfff1QQqrDHleW8UxcbVkOTAhL O88ISYW5SVW7fIiZrvE+O0mNp8wtCua/LL3jkkAjNdOfqlT4nh4XpJ4BRi8JX9TD7qOQkGe4 Dh5JdDeLm+dLpiRvDLxpLkxjqm2Gxz3Wj3gCtlNFC5fDyGBx+L38eruee4/ny6F3vvSeDy9v 6tMdQQwMWbIsNMuowa4ND5hPAm3SYu2FmZbg2kDYn6xErjgbaJPmWkSqBkYSKpnljYZ3toR1 NX6dZTb1OsvsEtCsa5OC7sGWRLk13P5ANyTq1JjIie9ZZiwuQbVcOO5USxRSI5JNRAPt6jP+ 1wLzP8RM2JSrINGu92sMtpAyS9VTIoztwpoIB8Im8vH95fj4x78Pv3qPfGb/vOzfnn9ZEzov mFWSb8+qwPMImL8img5gOhKbROd+wYjviph8pFAzcJNvA3c0cmY2bxsUBj6T/Wcf12f06Hzc Xw9PveDEmYBOsP85Xp977P39/HjkKH9/3Vtc8dRM6XJ6EDBvBaoic/tZGj3gkwBirS9DTEHQ iYD/FElYFUVAiITgLtySHF4xkL5aNGIREYg/yXs9P6kGVNnUuT2C3mJuw0p7/XjEagk8+9so v7dgKVFHJhpj9mtHPneUQiN4uM+ZLTiSVSfzWxTNXwXPtjtCqvlw7ik39rDj7dNWzrQV5sXr 4HnMbKavKOCOGp6toJS+zYf3q11D7g1cipcCIS7zbywrpCKkFUBhkCJKGO525LYzj9g6cOdE SwSGNunpJLh+b7a1dPq+GrDexHS1eUk2WZk3ZoOaeYGhFOnww/XO4g+tcmOfKjIOYdUGEf7t Li6Pfe0RoBQEK+aQQJjXRTAgagOkOxoL9C3OA93IcW06qjSqBSOHEFsrNrCBMQErQXWcp7Zm cp9R5fJRrPgIY0xMPrUb7e349qxH3ZNi1pZcAKtKQocLCrVYe46m9xgbs5tLkqIyM0qYeDGp 7GnMMIJmaO/HEvHZh/VeArLs71O63aRoCaF7gjhb3HLo7dqL0p5FHKp/ZvLe78jK0KIHVeAH n67WRYd2Vu/inYiuDoGumYmoZda6Ehi+73zaLEl8g3UKSeeIFTHFO4Ba8+KmRFDpP297eZ/W iWpIeDuDLA23Jvi8RTplNbhntMOMQU53V0iL8+sbPhSREQ3M6bSIWEkZAKWaozuZ1NDp8Ib+ Gn2zxwtgK3vTrz1NxAOK/enp/NpLPl6/Hy4y1IJuXahlV1KElZdRpzw/ny+NpCMqhtRGBIba MzmGUhERYQG/hmiICNBJPnuwsHhUq6jTtETIJpicbvDyaNzN94Y0111kCDQIoi3l+GuS1mf6 zqKChJ8x0zlmdC1pC1ezAbJbKi/f78JkYdooXo7fL/vLr97l/HE9ngi9Mwrn5M7H4blHTEVA SCWsfodwi8beO8Wd8DbgVEJskgUI1M06Or42qug+D+ro21XdLsXvYGGjHeaYSeVPx7lFc6v+ zpNLy4cbZ0sk6tDMOCq2x3lln8+4Az/zjUjEFo6cTyq+IMYM8ayMm9h+tqSV+IAMWWyRYXf7 Q7oiz8s6qgBM5ZNpa1qaO2brBTW88lfT2egvwgIiCTw995uJHbvdyOGtL2XFW/vMo1V9Cw+V bxddjFkFUUGnQGiJzPxWCgpvFHYeqS7zMYujdBl61XJHHUFZ8RDHAd5R8Vut8iHTzbUSmW3m UU1TbOadZGUW0zS7UX9WeUFeX5oFtY94S5CtvWJaZXm4RSyW0VC0jjR16Z3+5VjIRCZ0I6uY iNfnUEoLx3uQwK+yQPhych/c+mavkfkY9uQHt2O981DtGJpdPCJ8fD48/vt4+tnKf+EWo948 5louAhtfKMnnamywK/E5Rssx63uLgief+nPYn421a6I08Vn+YDaHvlQSJcMG462jsChpYunl 9jd4Ips8DxNsAwxvUi4kU6POHTRnoT+uMiXHnYRU8yDxQF3KFTmJzucsB5JkqYpHfHSo8X0e wlEX03MovJTv/eAUnHh4dZnzd3DqtFFJoiDpwCZBWW3KUPV7kqhFmPjwTw78hCYoazjNfXVP Au7EQZVs4rmWQkTcQ7PILhgT+cj3FAbKAPN9Gz1jvTjbeaslv1/Mg4VBgbdfmE5EZNfJolDt aVMGLHfQdZO0NC+/vdwDMR+WmhD3tERcQPH/lV1Zb9tIEv4redwFdgPbozieBfxAkZTElUjK PCzbL4I34zWMmWSC2B745299VU2y+mK8DzGiqmKz2Ud13e3bj6i7XX+0n3Ju2GJj2BB+EJHm mIS4VL68DV40pQkWgdaT5pBERUVQLIMxGoSz9UBbtEs/65W6HG2FE4GyS492vSktJKmyuox8 vKG5g6RBIurOYhN3Ij05UFKbxuB9G4qELR++CFKTzhSGB1uBNhUgZ3CI/uYOYPe3cSzYME4S 3fu0RaLnxACTpgzBug1tOQ/R0vHht7tM/61nx0Aj8zJ923F9V6jtqBBLQpwFMbs7XUhbIW7u IvR1BL4Iwu1sioFxBKI/mpyODdKjassKpaFoVm/zZerkVjbXye4IQ6Ma0KRpklv3Hq+kbeu0 IMZCKgYTTCgwJ2JrOpVUQJzpZLE7wK0y5Lgo08raqLj3giCmvtbJoIwDgtpk7dCNuwUuybLm 2B3PFxZLbw/ObZggTUvL0wbQPm+IzzPKs4tkD/+9f/3jBaUXXp4eX/98ff7wVTz39z8e7j+g muK/lLKJK0BxlWS5vMXtRCceooW9W5BWQTKFpu4gSI6EpjD3s5qKxMDYRMF0G5AkO5K2Stjr LuwhgdY+e6ExT8d4/IcSNtc7Wb5q7fEdKhJLpHguJz2N4S8Kse+PjbWSsit97u5qy7eC33N8 udohJlw1v7tDvJbqXnMF9VO9otzb12NlRWn9rouMM2hJGLG2Bm2XYQdfZ23t7+t13nUkXtSr TO8p/cyxY/FDZ3LUMJ66SR+A2mkcILt4C525BqV5A4PO33TNSAZ9ftNRowzak1i3Q8ve2xKS naq5d9IqLY6Lt8B7TxzQ6cnbqf+Ctq/Q7VjzhD49ezs7854jVnd6/has9Gc6oGvsochBvXO4 C5gXkvltqxwBxsxpl7o32VirXd9unOSbkYgj88rUwXAQ0iHRV2AxKMv3defAxBRGQisuRRj5 TEsMcEjpHYv5OIL9xN2rU8Re1hlvRzuya9CiGPr9x9O3l9+lrM3Xh+dHP3iUdYktL1pLhAYw TdxyIPwBpC+lOSfQZccifINuBXshScfrHWkKuzEI53OU4qov8u5yMU2T6J5eCyMF3zlu+pnl 1u3ouDmzLFI3X9gCu0W9b8tlDc08bxqisq6UATX9u0bd9zbXExQd3dEw//THwz9fnr4aVe6Z Sb8I/Ic/F/IuYyT1YEh/69PcstcqbEt6Rlh6GkmyQ9Ksjh3tFQ66ULFRoQaZOuzMcKlCuQ/7 ZIMZxp7hrh2XnWW6WWdLpEEX+6DVeNXQLEi2s74DGmHAe1r/KHxRKha7yZMMF44UFa1QfRC0 knmLpJwS9yZzk8i0vnV3pcm8d4J/5UtXNR3sx0OebPlKEzrfwqr8e2ec1we7QJ6+DDs3e/jP 6+MjAgaLb88vP15RE1atjTKB9am9bfWV9Qo4Ri2Kyf6S2HGIaixSH8UhUqfPca3SZEwxo9AG RqZlWeGAv9HFh8ThohW6EpUbZtpBOGgsyJpZ7ZYWjn4ev0MWuZGrL9vE5JxDrLJWB+N0Y0JM DC7oPElVg0vcl6aVdo0UmdwlCT/48yfaTbHq/F5mxbUX8uqQ1EtknrM8OUNFrDSckSfonETs GfQoiYbyIUJjP9khYUJkkvkJT1udscEIhrEuXFilURxaMyndQIzhJTaaZCQA056mLd1Y19hK sxOnt8Aqa2NafIyZClgEx0mIIITdmt0ZSoZgIhpqud99XxcQD88XNr7no46k33Z7OV13b+HG SigQLpw+CIXYQpw1YX/qlrgs9+MSBWvdZib0O9qaKrPwE95sod4FNM+aWA4RH4mt/xJ4p6Fi 0aOvthWC+uumWEfUKNNRzhqZITCtEu/vczipqnXOh8PMI6Ra93J9LHWW10/LN88GQ6HMEKwr LDahshJJ33UG2MwUqbf65h+BIul0EAVNgPrYmBL2IFPlNx3uHAmdc8Cz6hdLk6FRtwVChtJi besqZg2fmkZtjugh0dR0+iZHOy9q5OJCc7jx+3wIqcijabfLel1DUX47wp8BcnM6i1naFx4a OPoMYk5ztQlXluHGxkH+bmLvRrGgbQzXpD2LP/EOwixBGnn8anab3Pj8B+FwFCPaXb8cSO0E KSBi7n9m12blkvK1IxnK/ZKfwaG0sYYnnpnTc4s9OLRRLuzQjUkeq3C9d4eck1naNAlzGyEW ObJvY/aflrhfZqhyVI2D/WROdJFmr+nj15yf5k/xdfhkdh98x0uKpusTj61EwHLvIWfNBJiI SMiwM4UWxDCwyR7ek8RV242dpFUURvy2DUpOKyEaJUIkvggxIRCbbNu7jNwgWD/oQWNxYWGy 9gVBbFniiCTPTuJPljVOuS9uY176WeXWFafh36gtiTt0BiPx5enJiUMB0WLgZWefPrnPd2zM lpri2BgwgU7dFKKYnGMnRk3njrdBNqht6htqif5D/ef35398wC05r99Fa9rcf3vUhgoaxhQ5 WrVlgbbAcpBPLEuQbLDru8mmC69dD4bf0WhoE31brzofOX4FbA64eq/UhPyOwBTGiU0vT6bJ bjKDF5MqOkxsorRiQBTV0Lfg7gLquEGdUZYS1Y4RhjeixnFZXJyEvnEi/PknOrTuFx6uRPjL aitwjVebfFNwQc2vDMmKJjX7t1fo1lrccVhurDCOYG17C8OmEjtDyl7gNTYrwmBu83xvucoN Q6Rzv9yPRfrxJUrS+9vz96dvyHWhj/z6+vLw9kD/eXj58vHjx7+reu8IS+Lm1uAqnjV539TX wfpZgmiSgzRR0ZA7gpp+g10FzAhm8GN3+U3uiSfq7nj7eAiTHw6CIYGhPiCZ2nvToc1L7zGJ 2LIZNOf16qqOBgDfcnt5+skFs72rNdhzFytHsjFrMsmvcyRsvxW6hfeiguSxXdIcr/q8H1o7 cxmhoY6ejqIp0Djl+d4/YM0sS9SoET5DJy0PHLEJOGdErv46NTVNxlw0QJuurBbCLqs2k3cd Ejoe4oVW/5+FP3yDjDgdG6uddcra8GNVFu6y8Z+ZjNd6TNkgiPThvmrzPCOGIDrtnFQo5+jP KUjhIenRLpumzrzfRev77f7l/gPUvS+I+vHswYgg8liKAboHbGhjC0oKLVg6hkjyR1a7SCOC jj5ohRYDjnTTfXna0OhVXeFckSTB32kf1EeFOaUqnttZrwYKJYek710IHlvhwKEY5PRcYHBA BGGVzcbjiXh2ar3AXTIA5leBCpXTHQDW93oq65URVxvPljxsKerShg7XnagVXT6UZ1ccj6BV etvVigty3Lby0fiV5uq9fI5VlYLmYNVXYiifx66bZL8J0wzuldUwXHHk8VB0G/hf23eQmZJ/ 8EW9hzxpvFYNumQFmF6LgDGHBPXSeAGA0tjenEYQ+e/6immXw5timnaQqXmVi5TepPbBifBA 7951vjWT6S2pAkshv+kQJQETnDsbRtyAUzz4OV57BqBWy+SM5RZC1iDauUVGI7BJi9Nffl1w ZIGrD4pSEjqalPbJpcgLY/63vVtivjM0Hk95uzgP8RT/ZPC3gdhijfewb3XU0sX5YP9l8bbf h5+KtJUt15EHuMj0TaYzY43guFuyw1l/uMRbxMRWXl1lWdTuJp/iqegrEKKUgR3Mne9FbWzC JzcXoWpiCm9PzYgQq/N84xGfjnGtsiMXWoQdWLNPogMgDw4b0mGuPOFxk5wMDbuc9urY2bNq C7nLdRv31QE1RJtj3Vhh/yNcXJW8y9xKO+Y0sFeqdtd3D88vkIWg1aR//vXw4/7xQRV26isd FSXqt2emnLRyF5bfiFXA81rIx4LfRWswD/ICPOJ1M9UwDhI7dY7nNvw2ra89Y0mbVAQ2W1eH IRpqZYInMmOghEMnaWB5DhaXAiXcwU1fcrKh9vsJkhhk0uQSbnV58gZPx6ixNsSyEcfTib40 JJ2NHdltsy4sIopSi6jvlnZlnKQsKthtw/dyMIX7vMZlxbWOzFxORz4tfW/CmyWCBuMSvBWE GGcWOgIxTmbMzZH9J6rN+SLoTuNP2+Q3sMeH9PWOj8nokwYvcWqhRTFQtalde0uSGQjR1SFv AqPHoHurrTSpVl5LEsoTn9i+j9StYqxEdMbxKDy8cuoe2xQNNNSY4VfG2AmPZmCRhUtVyYre zix3+uB6H+YjjDcG1pkRgeDqllB23rEPG+oFiVQLjjchYSHMopA9sEQYSij00W5tVTQlqYXR 0Rur605Ws6IjZrnLhLVG9pgUa4tYUYclzk0HebpkkmjExI106ka03k6Z8f0CobZhp3BA7NUJ 0Q6JFJG+yHzGpQKzB7lKHXJ24kTbsp7ZJpaDYobN5mWa0O6d7QvsKZFpGxqZJ+C6YXBxznwO S/xmDQzW0NhJifwQeqk7tgYUFDJmJQqvOJlECf4PiaLu4mV7AgA= --rwEMma7ioTxnRzrJ--