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=-12.2 required=3.0 tests=BAYES_00,DKIMWL_WL_HIGH, DKIM_SIGNED,DKIM_VALID,DKIM_VALID_AU,HEADER_FROM_DIFFERENT_DOMAINS, MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING,SPF_HELO_NONE,SPF_PASS, UNPARSEABLE_RELAY,URIBL_BLOCKED,USER_AGENT_SANE_1 autolearn=ham autolearn_force=no version=3.4.0 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id 5CFEEC4361B for ; Thu, 10 Dec 2020 11:06:27 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id CC4E123B85 for ; Thu, 10 Dec 2020 11:06:26 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1733135AbgLJLGK (ORCPT ); Thu, 10 Dec 2020 06:06:10 -0500 Received: from userp2130.oracle.com ([156.151.31.86]:55468 "EHLO userp2130.oracle.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1730856AbgLJLF6 (ORCPT ); Thu, 10 Dec 2020 06:05:58 -0500 Received: from pps.filterd (userp2130.oracle.com [127.0.0.1]) by userp2130.oracle.com (8.16.0.42/8.16.0.42) with SMTP id 0BAB3xSk097496; Thu, 10 Dec 2020 11:04:55 GMT DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=oracle.com; h=date : from : to : cc : subject : message-id : mime-version : content-type : in-reply-to; s=corp-2020-01-29; bh=Oll4HkKZrBdX+BJH9YVm0nBbGmBpsXipFHLpSzopp/I=; b=HA7HnkAq7swBvzWI3YBtGAS0JFBCMXGJx+Ict0nblHJoLA5ju0bk1SuDdpeOQLhM7xP8 kzF8mR1Io94PcJjDEDeuYzHWKd7HwNfcHs/beWcy6Zxylh8P6y1chaiYbAY48GAgdNDm uYEeUI6jyOptg6r36bEb7zqucRsPwqwKosTKL1wB97dyvOvNcVqkm5ea0GZi3ELOgqFc FoX08KNUi9z6pRcrKZtbK4vlWTt38NdrLyt1SQqLWJPY2rAVK2Dr+Jqt4hW02em0Es6C VHZXvaXKCEV+z75SEURNkYEp2l3rxCP5zZ0tUrRq7cE5ss5li69OFBBK9bMPeT298ehM Og== Received: from aserp3030.oracle.com (aserp3030.oracle.com [141.146.126.71]) by userp2130.oracle.com with ESMTP id 3581mr4ruq-1 (version=TLSv1.2 cipher=ECDHE-RSA-AES256-GCM-SHA384 bits=256 verify=FAIL); Thu, 10 Dec 2020 11:04:55 +0000 Received: from pps.filterd (aserp3030.oracle.com [127.0.0.1]) by aserp3030.oracle.com (8.16.0.42/8.16.0.42) with SMTP id 0BAB4sTZ013865; Thu, 10 Dec 2020 11:04:54 GMT Received: from aserv0122.oracle.com (aserv0122.oracle.com [141.146.126.236]) by aserp3030.oracle.com with ESMTP id 358ksrcddf-1 (version=TLSv1.2 cipher=ECDHE-RSA-AES256-GCM-SHA384 bits=256 verify=OK); Thu, 10 Dec 2020 11:04:54 +0000 Received: from abhmp0002.oracle.com (abhmp0002.oracle.com [141.146.116.8]) by aserv0122.oracle.com (8.14.4/8.14.4) with ESMTP id 0BAB4g93030899; Thu, 10 Dec 2020 11:04:42 GMT Received: from kadam (/102.36.221.92) by default (Oracle Beehive Gateway v4.0) with ESMTP ; Thu, 10 Dec 2020 03:04:40 -0800 Date: Thu, 10 Dec 2020 14:04:33 +0300 From: Dan Carpenter To: kbuild@lists.01.org, Markus Theil , johannes@sipsolutions.net Cc: lkp@intel.com, kbuild-all@lists.01.org, linux-wireless@vger.kernel.org, Markus Theil Subject: [kbuild] Re: [PATCH] mac80211: enable QoS support for nl80211 ctrl port Message-ID: <20201210110432.GM2789@kadam> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="VSaCG/zfRnOiPJtU" Content-Disposition: inline In-Reply-To: <20201209225214.127548-1-markus.theil@tu-ilmenau.de> Message-ID-Hash: F6BRAWA3PJVMLITVAW7YJW4NY6IOJDG7 User-Agent: Mutt/1.9.4 (2018-02-28) X-Proofpoint-Virus-Version: vendor=nai engine=6000 definitions=9830 signatures=668683 X-Proofpoint-Spam-Details: rule=notspam policy=default score=0 mlxlogscore=999 suspectscore=0 bulkscore=0 malwarescore=0 phishscore=0 mlxscore=0 spamscore=0 adultscore=0 classifier=spam adjust=0 reason=mlx scancount=1 engine=8.12.0-2009150000 definitions=main-2012100074 X-Proofpoint-Virus-Version: vendor=nai engine=6000 definitions=9830 signatures=668683 X-Proofpoint-Spam-Details: rule=notspam policy=default score=0 suspectscore=0 mlxlogscore=999 clxscore=1011 malwarescore=0 priorityscore=1501 adultscore=0 lowpriorityscore=0 phishscore=0 spamscore=0 impostorscore=0 mlxscore=0 bulkscore=0 classifier=spam adjust=0 reason=mlx scancount=1 engine=8.12.0-2009150000 definitions=main-2012100074 Precedence: bulk List-ID: X-Mailing-List: linux-wireless@vger.kernel.org --VSaCG/zfRnOiPJtU Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Markus, url: https://github.com/0day-ci/linux/commits/Markus-Theil/mac80211-enable-QoS-support-for-nl80211-ctrl-port/20201210-065717 base: https://git.kernel.org/pub/scm/linux/kernel/git/jberg/mac80211-next.git master config: x86_64-randconfig-s021-20201210 (attached as .config) compiler: gcc-9 (Debian 9.3.0-15) 9.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.3-179-ga00755aa-dirty # https://github.com/0day-ci/linux/commit/514b314825e19f7075eb375b3effa93ff0f6a16e git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Markus-Theil/mac80211-enable-QoS-support-for-nl80211-ctrl-port/20201210-065717 git checkout 514b314825e19f7075eb375b3effa93ff0f6a16e # save the attached .config to linux build tree make W=1 C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=x86_64 If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot "sparse warnings: (new ones prefixed by >>)" >> net/mac80211/tx.c:1206:26: sparse: sparse: dubious: !x & y vim +1206 net/mac80211/tx.c 9ae54c8463691b Johannes Berg 2008-01-31 1162 static ieee80211_tx_result 3b8d81e020f77c Johannes Berg 2009-06-17 1163 ieee80211_tx_prepare(struct ieee80211_sub_if_data *sdata, 3b8d81e020f77c Johannes Berg 2009-06-17 1164 struct ieee80211_tx_data *tx, 7c10770f995820 Johannes Berg 2015-03-20 1165 struct sta_info *sta, struct sk_buff *skb) e2ebc74d7e3d71 Johannes Berg 2007-07-27 1166 { 3b8d81e020f77c Johannes Berg 2009-06-17 1167 struct ieee80211_local *local = sdata->local; 58d4185e36913d Johannes Berg 2007-09-26 1168 struct ieee80211_hdr *hdr; e039fa4a4195ac Johannes Berg 2008-05-15 1169 struct ieee80211_tx_info *info = IEEE80211_SKB_CB(skb); 68f2b517bcbd81 Johannes Berg 2011-10-07 1170 int tid; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1171 e2ebc74d7e3d71 Johannes Berg 2007-07-27 1172 memset(tx, 0, sizeof(*tx)); e2ebc74d7e3d71 Johannes Berg 2007-07-27 1173 tx->skb = skb; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1174 tx->local = local; 3b8d81e020f77c Johannes Berg 2009-06-17 1175 tx->sdata = sdata; 252b86c43225d0 Johannes Berg 2011-11-16 1176 __skb_queue_head_init(&tx->skbs); e2ebc74d7e3d71 Johannes Berg 2007-07-27 1177 cd8ffc800ce18e Johannes Berg 2009-03-23 1178 /* cd8ffc800ce18e Johannes Berg 2009-03-23 1179 * If this flag is set to true anywhere, and we get here, cd8ffc800ce18e Johannes Berg 2009-03-23 1180 * we are doing the needed processing, so remove the flag cd8ffc800ce18e Johannes Berg 2009-03-23 1181 * now. cd8ffc800ce18e Johannes Berg 2009-03-23 1182 */ cc20ff2c6b5d3e Felix Fietkau 2020-09-08 1183 info->control.flags &= ~IEEE80211_TX_INTCFL_NEED_TXPROCESSING; cd8ffc800ce18e Johannes Berg 2009-03-23 1184 58d4185e36913d Johannes Berg 2007-09-26 1185 hdr = (struct ieee80211_hdr *) skb->data; 58d4185e36913d Johannes Berg 2007-09-26 1186 7c10770f995820 Johannes Berg 2015-03-20 1187 if (likely(sta)) { 7c10770f995820 Johannes Berg 2015-03-20 1188 if (!IS_ERR(sta)) 7c10770f995820 Johannes Berg 2015-03-20 1189 tx->sta = sta; 7c10770f995820 Johannes Berg 2015-03-20 1190 } else { 3f0e0b220f8007 Felix Fietkau 2010-01-08 1191 if (sdata->vif.type == NL80211_IFTYPE_AP_VLAN) { f14543ee4d0681 Felix Fietkau 2009-11-10 1192 tx->sta = rcu_dereference(sdata->u.vlan.sta); 7c10770f995820 Johannes Berg 2015-03-20 1193 if (!tx->sta && sdata->wdev.use_4addr) 3f0e0b220f8007 Felix Fietkau 2010-01-08 1194 return TX_DROP; 514b314825e19f Markus Theil 2020-12-09 1195 } else if (tx->sdata->control_port_protocol == tx->skb->protocol) { b4d57adb727ec7 Felix Fietkau 2010-01-31 1196 tx->sta = sta_info_get_bss(sdata, hdr->addr1); 3f0e0b220f8007 Felix Fietkau 2010-01-08 1197 } 9d6b106b54e02a Johannes Berg 2015-02-24 1198 if (!tx->sta && !is_multicast_ether_addr(hdr->addr1)) abe60632f311d5 Johannes Berg 2009-11-25 1199 tx->sta = sta_info_get(sdata, hdr->addr1); 7c10770f995820 Johannes Berg 2015-03-20 1200 } 58d4185e36913d Johannes Berg 2007-09-26 1201 cd8ffc800ce18e Johannes Berg 2009-03-23 1202 if (tx->sta && ieee80211_is_data_qos(hdr->frame_control) && 49a59543eb5a5d Johannes Berg 2011-09-29 1203 !ieee80211_is_qos_nullfunc(hdr->frame_control) && 30686bf7f5b3c3 Johannes Berg 2015-06-02 1204 ieee80211_hw_check(&local->hw, AMPDU_AGGREGATION) && 514b314825e19f Markus Theil 2020-12-09 1205 !ieee80211_hw_check(&local->hw, TX_AMPDU_SETUP_IN_HW) && 514b314825e19f Markus Theil 2020-12-09 @1206 !info->flags & IEEE80211_TX_CTRL_PORT_CTRL_PROTO) { ! has higher precedence than & so this is equivalent of "if (!info->flags) {" Presumably, it should be: !(info->flags & IEEE80211_TX_CTRL_PORT_CTRL_PROTO)) { cd8ffc800ce18e Johannes Berg 2009-03-23 1207 struct tid_ampdu_tx *tid_tx; cd8ffc800ce18e Johannes Berg 2009-03-23 1208 a1f2ba04cc9241 Sara Sharon 2018-02-19 1209 tid = ieee80211_get_tid(hdr); 8b30b1fe368ab0 Sujith 2008-10-24 1210 a622ab72b4dcfd Johannes Berg 2010-06-10 1211 tid_tx = rcu_dereference(tx->sta->ampdu_mlme.tid_tx[tid]); a622ab72b4dcfd Johannes Berg 2010-06-10 1212 if (tid_tx) { a622ab72b4dcfd Johannes Berg 2010-06-10 1213 bool queued; a622ab72b4dcfd Johannes Berg 2010-06-10 1214 a622ab72b4dcfd Johannes Berg 2010-06-10 1215 queued = ieee80211_tx_prep_agg(tx, skb, info, a622ab72b4dcfd Johannes Berg 2010-06-10 1216 tid_tx, tid); cd8ffc800ce18e Johannes Berg 2009-03-23 1217 cd8ffc800ce18e Johannes Berg 2009-03-23 1218 if (unlikely(queued)) cd8ffc800ce18e Johannes Berg 2009-03-23 1219 return TX_QUEUED; 8b30b1fe368ab0 Sujith 2008-10-24 1220 } a622ab72b4dcfd Johannes Berg 2010-06-10 1221 } 8b30b1fe368ab0 Sujith 2008-10-24 1222 badffb725c86cc Jiri Slaby 2007-08-28 1223 if (is_multicast_ether_addr(hdr->addr1)) { 5cf121c3cdb955 Johannes Berg 2008-02-25 1224 tx->flags &= ~IEEE80211_TX_UNICAST; e039fa4a4195ac Johannes Berg 2008-05-15 1225 info->flags |= IEEE80211_TX_CTL_NO_ACK; 6fd67e937ece53 Simon Wunderlich 2011-11-18 1226 } else 5cf121c3cdb955 Johannes Berg 2008-02-25 1227 tx->flags |= IEEE80211_TX_UNICAST; 58d4185e36913d Johannes Berg 2007-09-26 1228 a26eb27ab43014 Johannes Berg 2011-10-07 1229 if (!(info->flags & IEEE80211_TX_CTL_DONTFRAG)) { a26eb27ab43014 Johannes Berg 2011-10-07 1230 if (!(tx->flags & IEEE80211_TX_UNICAST) || a26eb27ab43014 Johannes Berg 2011-10-07 1231 skb->len + FCS_LEN <= local->hw.wiphy->frag_threshold || a26eb27ab43014 Johannes Berg 2011-10-07 1232 info->flags & IEEE80211_TX_CTL_AMPDU) a26eb27ab43014 Johannes Berg 2011-10-07 1233 info->flags |= IEEE80211_TX_CTL_DONTFRAG; 58d4185e36913d Johannes Berg 2007-09-26 1234 } 58d4185e36913d Johannes Berg 2007-09-26 1235 e2ebc74d7e3d71 Johannes Berg 2007-07-27 1236 if (!tx->sta) e039fa4a4195ac Johannes Berg 2008-05-15 1237 info->flags |= IEEE80211_TX_CTL_CLEAR_PS_FILT; f7418bc10d8402 Felix Fietkau 2015-09-24 1238 else if (test_and_clear_sta_flag(tx->sta, WLAN_STA_CLEAR_PS_FILT)) { e039fa4a4195ac Johannes Berg 2008-05-15 1239 info->flags |= IEEE80211_TX_CTL_CLEAR_PS_FILT; f7418bc10d8402 Felix Fietkau 2015-09-24 1240 ieee80211_check_fast_xmit(tx->sta); f7418bc10d8402 Felix Fietkau 2015-09-24 1241 } 58d4185e36913d Johannes Berg 2007-09-26 1242 e039fa4a4195ac Johannes Berg 2008-05-15 1243 info->flags |= IEEE80211_TX_CTL_FIRST_FRAGMENT; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1244 9ae54c8463691b Johannes Berg 2008-01-31 1245 return TX_CONTINUE; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1246 } --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --VSaCG/zfRnOiPJtU Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICHXt0V8AAy5jb25maWcAjDzLdtw2svt8RR9nk1k4I/mh65x7tABJsBtpgqABsNWtDY8i tz06Y0u+kjwT//2tAvgogGDbXiTqqmIBBOqNAn/95dcV+/b88OXm+e725vPn76tPx/vj483z 8cPq493n4/+uCrWqlV3xQtjfgbi6u//29z//fnfRXbxZvf39/Oz3s5ePt69X2+Pj/fHzKn+4 /3j36RswuHu4/+XXX3JVl2Ld5Xm349oIVXeW7+3li0+3ty//WP1WHP+6u7lf/fH7a2Bz/vYf /q8X5DFhunWeX34fQOuJ1eUfZ6/PzgZEVYzwV6/fnrl/I5+K1esRfUbY56zuKlFvpwEIsDOW WZEHuA0zHTOyWyurkghRw6OcoFRtrG5zq7SZoEK/766UJuNmragKKyTvLMsq3hml7YS1G81Z AcxLBf8BEoOPwgL/ulq7Dfu8ejo+f/s6Lbmohe14veuYhsURUtjL16+AfJyWbAQMY7mxq7un 1f3DM3IYV1PlrBoW7MWLFLhjLV0CN//OsMoS+g3b8W7Ldc2rbn0tmomcYjLAvEqjqmvJ0pj9 9dITagnxJo24NraYMOFsx/WiU6XrFRPghE/h99enn1an0W9OofFFEntZ8JK1lXUSQfZmAG+U sTWT/PLFb/cP98d/jATmigVLYA5mJ5o8MUKjjNh38n3LWyL5FIoP57aakFfM5psueiLXyphO cqn0oWPWsnxDJ9AaXoksMT5rwTpFm8s08HcIHJpVZOwI6rQIFHL19O2vp+9Pz8cvkxatec21 yJ2+NlplZLIUZTbqKo3hZclzK3BCZdlJr7cRXcPrQtTOKKSZSLHWYIlAFck76gJQBnap09wA h/Sj+YZqHUIKJZmoQ5gRMkXUbQTXuJCHhXkxq2GLYRnBLoCBS1Ph9PTOzb+TquDhSKXSOS96 AwerMGFNw7Th/aqMQkA5Fzxr16UJdeJ4/2H18DHa0MkTqHxrVAtjehEsFBnRyQwlcSrzPfXw jlWiYJZ3FTO2yw95lRANZ853M/kb0I4f3/HampPILtOKFTkMdJpMwo6x4s82SSeV6doGpxwp ilfTvGnddLVxziVyTidpnP7Yuy/Hx6eUCoEH3Xaq5qAjVEevQey1UIXzr+Pu1goxoqh40tB5 dNlW1TI6YR82Yr1BMexn7wbsxWQ274lbozmXjQWudXo2A8FOVW1tmT6kTKOnIUvZP5QreGYG 9jruVhRW+5/25unfq2eY4uoGpvv0fPP8tLq5vX34dv98d/8pWmPcHpY7vl6PxonuhLYRGgUj +VKoV05uJ9okXWYKtIg5B4sNpKkgAoUEQygi3U5uCl6xg3soQux72DiIgwr1o7k0RiRtwE8s 4ajbsDrCqIrRLdB5uzIJiYa96gA339QACD86vgcpJ69pAgrHKALhmrlHe81NoGagtuApuNUs 5/M5wZZUFQaAkjoUxNQcLLHh6zyrBDUiiCtZrVp7efFmDuwqzsrL84tpQxCXKRWGlgG2VnmG i74kNtPkOxf5yoxqbbgxozvZ+j+Ig9mOG6RyCt4AT04D8kphCFuCJxelvXx1RuEoG5LtCf78 1bTzoraQKbCSRzzOXwdmtoU0wAf2+QZW2dntQc7M7b+OH759Pj6uPh5vnr89Hp8cuH/ZBDZw WKZtGkgWTFe3knUZg2QnDxypo7pitQWkdaO3tWRNZ6usK6vWbGaJDLzT+at3EYdxnBibr7Vq G7KYDVtzb+C4puoMkV2+Tux4Vm17JjFTv1oTtGRCdyFmSmlK8JSsLq5EYTeJUcAGJnn2IzWi MDOgLmj+0QNLUNtrrmfwTbvmsKYE3kDIag2dJAoiDtXjkvrRsyv4TuQ88SI9HjjE9nJ4Fa7L 5eeypkw842KpxENG5duRhlmyGpg0QIwGHiAI0lEQTUqt0anUNAdu8uA3rIf2gGm1YKGSzGpu g2dhR/Nto0Ay0c9DKMqDzMUJPear7j2Siw5RGshPwcGUQyzLi7TlQs+1IMCwXS5e1ES03G8m gbEPG0n6pYsoIwZAlAgDJMx/AUDTXodX9EUd5E1K9oshzZ0cuFIYheDfaSnMOwUBiRTXHIN0 J1RKSzAuSZmMqA38QdxelP15iyiK84uYBjxmzl0c5D1AHKzmptnCXMBP42RI+SEUau93E/OM BpWQAQsUPDIPUGLM07pZ3O5FZAYuN2B0qlniO8aagaeIf3e1FLSIQsw2r0rYH00ZL749g0QJ w2Iyq9byffQT9Imwb1TwcmJds6okwutegAJcmkEBZgMWnXgJQUovELW1OnRDxU4YPqwfWRlg kjGtBd2FLZIcpJlDumDxJ2gG0Ru8JMopWMYEhVsk1GBMxwPJme/p5DKHMgmS/UmzQZQaTGe7 QgM/HTIEK1JBzpYEdq0MFBEZuTHKVPXGzQR98rRKMN06j0QDMuUgTQZiXhQ8xdErEozZjbmn Czf6Em5zfPz48Pjl5v72uOL/Od5DvMwgEMkxYoZUaQqDQxbjyM6ReCS8WbeTrjyQjM9/csRh wJ30ww2hBREOU7WZH5n4BCUbBhvnktTJzlcsVUJCBpQdy2DBNYQx/f7HLFwQgFFyp0H7lUyy pGRYsIGIPtCetiwhIHTREq2hkIFaFyQDibaCValBDsZy6TwzFrhFKfIhhaExRymqWfLUb0JY Px74XrzJqLDvXcE/+E29nK9wo9EueA46QbQB8oMGUgTnOuzli+PnjxdvXv797uLlxRtaVt6C 5x0iTLJEluVbnwnMcFK2kb5KDGp1DX5U+GrI5at3pwjYHkviSYJBdgZGC3wCMmAHOVBPN5ap DOuCGHJABKJKgKOF6lw4E0i5Hxxy594XdmWRz5mAJROZxtqUS7Sjx9GUoEjhMPsUjkGwhMcf PPLhIwXIEkyra9YgV3HVFUJaH3/6cgOkbiRexOxyQDn7BKw0Vs82LT2BCeicciTJ/HxExnXt a4vgdo3IqnjKpjVYYF1COyPvlo5V8wj+WsE6wP69JmGZKx+7h5cSpN4EwtSdWlNfZFgNis8K ddWpsoTlujz7+8NH+Hd7Nv4Lla4zslkaqHU1aSIhJQQenOnqkGOxlTrnZu3TzwpMKDjfMY3v Mz6YF/fqhrvKc2+JnF9oHh9uj09PD4+r5+9ffRmFpKnRQhHdpdPGVyk5s63mPm+g9gmR+1es EamzBUTKxpWCiairqigFTVw1txDP+JO3gLGXdQgtdbpmiDR8b0FCUOr6yGqREjWy6qrGmEUS Jic+yzmcUKbsZEbisQESuzHkOW54fzYCaXDVpnIcJUE0S0g5RvORCgAOoF0Qi0GYvm45LfTA MjMsFgbeo4fNM8Q5iWlE7YrkCxu52aF1qjIQM/BWeeTu9mFJctAZcPvRNH2dvmmxTgzSW9k+ lJ0mtNucnuiJCmdMOlRqRiZ/wuJvFMY2blrJgViu6xNouX2XhjcmTyMw2ksfPIJbTYYfozug wfAgw7rGyNXbel+uuqAk1fkyzpo85JfLZp9v1lF4gCcOuxACjlTIVjqVLJkU1YGUE5HASRgk gdKQAEKA8XW2owtSSKTfyf3MqgxmDcYArfEKOwczWcyBm8OaVkQHcA4hJ2v1HHG9YWpPj9I2 DfeiRYgLl99Nx1cQyYGqQ/CysJl7sJupgodzhwajTXCIGV9jdJNG4lng2/MZcghkpyXvMQTi jYiRdm5Z5JJxdj0BHVrvSMxUAqi5VpikYYkg02rLa1+HwKPMSFho7t8DsMBa8TXLD7GVl+6w DrZ60SwjBez6kodxz//JXTnNez2SlHx5uL97fngMjlxI9tN7hbaOsvUZhWZNdQqf42lJYNUp jXMs6io06WMYvzBf+pLnF7OYnpsGQoZYdYcjS4jS2io6ePZb21T4H05rEOJdYCWlyLXCXGBp xY2ON9FZ9MUNfOsilwVuhdCwd906w6ArkqS8Yb6Tx1iRB4EHrih4VNCYXB+atKnGovpSWu5P qD0Hlog8R/SURAZ4XuGke5+OtQQiHaJCSa8GN44Hzi3HYPF48+GM/AsXqcHRvIosrJSrlELG ogxWEHTbzLcXNRLdnxymNhH6x2OdxvN9PP64IqZEWh3W/uE3RpnCQlaRikrc9Fm8RuBmDcSu qFwsLNs7tE++o2BJsijybGXYzDNFcv0L9jEvvuCWH5ZjO/+QNXu3WxjB/zRpKrRJ0PVNVVMd pxSpCO66Oz87o3QAefX2LDkbQL0+W0QBn7PkCJfnUybiXcBG4zkzHXXL9zwdsDgMporJYrFm ZtMVLc0Qms3BCPQkoKoas6LzMBnC2lnObK9mU8XbCQBWnbG8l4rjBr6QFa9r4PsqYLsBUa/a dRglTQpA0MFy+wyPYlOv6asDu8IEW+rVMzayqbnHlHtVV4dTrBZbFXJZuJQe3ixlQkH0RHno qsLOS6Eur6/Ejjd4eHhJTmFPJYazqgErii4yzg7nLeegiP2KpmlMU0F206AbtH1QnqDCHN5V DWjXlHfpD/89Pq7ARd58On453j+7GbO8EauHr9ivStLZvmhAstm+ijCd/U1KNNUgUvInO1Nx TiW9h/QZ8uTrpdN+h0szumJb7tKrgNkI7ds8id4G2HVOH4tGXjr+A1RekZW+eu9jEGxsE7ng U4V8qUaBC0xws1+DEDvVhndQatvGBQ/Yyo3t+/rwkYbWvRykr4P6ubkwypCSIcnLmj7BXied kOfV5LqzkUN3M21o/ORpw711MM13ndpxrUXBadkpnAWYx0T/GqVg8UtmzEIocIihrbVhwdeB dzC6WmJdsvkDlqWDL79mIEJLzFw+pzlIhjHR3PoOIYj2x9g2jRbFbLVHZAQPTXY4zYkhW681 CJZVi9tsNxC/svjQx9kqvxxoTdoGjEgRTy3GJeRreSmbHMVGpU4n/XIqyDfBWC+9t1B9XhWy NVk6bvHPLhxo+wFbYxUGe3ajTpDBX6k5T1rJGk50O4T355whR0ScELnGpsOrYZXg77j5c7Ra As+jQQDSRtmHymOqPqW6YbQ19OGtysfj/3073t9+Xz3d3nz2eeDkW3vxX2pBSzw9MhYfPh/J NQlsQgsUYYB0a7XrKvCh4XwDtOR1uqgQUFmebjEPiIaaWnK7PWqov9GAYHwj0k7owtt5Q+cQ QvzQJbulyr49DYDVb6A/q+Pz7e//IMk4qJRPAYmLA5iU/scE9RAsP52fkfJxf0yDFQuidRBp 1FmcOGAXQJZ8mYVZ+je4u795/L7iX759voliDVfgWsi09/TgoY8n56AZCZZX2os3PuYFubB0 l+ZTcTMs7x6//Pfm8bgqHu/+Exz08iI4r4afcebTY0qh5RXTLpoLkrBCClEEP30zRQTCizcS 0jyMVCGUxeQHdsrXi+kMhMmN6ERWpuxRedXl5TrmT6FDNBzU5ZRaV3x8gwRfnMxwtDJElPb4 6fFm9XFYuQ9u5Wjv3gLBgJ6teWA8tzsZmVOshQv9PmzqpxjanUHhHZbdgm6METvr6kCglLSX AyHMNR24LpuYgzSx2UfoeMjoC87Y1RNy3JXxGEPJGlTZHrDY51o/++Q8JI0FP3jZ7NAwGoqM yFp1YdcLAvclhIxW+XJ91PiOJwAtaNF1pJt+a6ZsFweOy4908Wi5GQOM3f7t+asAZDbsvKtF DHv19iKGQmrausOw4PrXzePtv+6ej7eYfr38cPwKEob2dJbZDFGEL/IO0t8vPEgCDS/duinf PkCc0gBBnz73oVt/JplYiT8h4QcnlvHgrMZfsnN1F6yIlQs30noyl+YOZNFMp5SkrZ3lw6a/ HOPBeVHJ3VcDjeiy/ppTj3dNiJrbVtcgLVaUQVeSG0YozbEBIHH8vY3PYz0UDydTCNWk4T2b DkxgmeqCK9vaF6sgx8DY2RWuo+tBOx62lk2XohzHDaRZERL9H8aeYt2qNnEjBdJVHyH4uzqJ uBncjsU6Qt/sOCcwfCh3LiD7Om7gPMjM/S1I323SXW2E5WGj+niib7riUDOMAt0VAv9EzNJI LHz01xnjPYDYEfS0LvyheC9HYXzg6XzjVXJ78Orl4oObqy6D1/FdqxFOij3I7oQ2bjoR0U+I Kj0+mEsDtiRhacB1//ozf/dEikli/KHFS/dLFNbzpl0L1P4ENtGbJ2XbQQ634X0+7sovSTRe FEiR9NLltcG36ffnlfFkeoPRCxdWkCKK/jl/4LWAK1S70GLSR2bY9OzvtQ23axO0qioIfWrV DM+R4ASqb9MhFaz4kSVCwgr3tQIhjJCzPpHJRv8EHJdYzUIR//bCQvDXy5NrY4iFDg0U31tn xLbzgGbhplNswed3nGIFVCjgMo6mBvtZ49EOOpqh2PizdF3TJnkiHlsl48KXEweHxLInxAM6 OZRRpfVR0+w9iuEsiufYHEiURxUtFtzQGWKrMWpfwio71FBkT40dNNXFHnkvbNpdhE9NfXoJ vqTJbokJJUmw6tGOHI8J4ml6eeuvdM79KKyM8AXosR0xzByzNjLwqMBGrPui8etZftbjWeS1 xwQvE76PILXeKCV+JjSKmqCneohB8wQYt/6+uL7aUx1dRMWPe8lJPp5CTVPHBmjIdfujnNDp joEZxAdBfDUdduBNFNIAnKybkm7p4Vh3vtlDILmMmT7j4IPsXO1e/nXzdPyw+rfvWf76+PDx 7nPQEYBE/fol1s5hh8CZhe1KMS7dp3tiDsFr4CcyMMQXdXDT9ScThYEV2FGJdwaosrgOeoMN 3dNHNHozQl+nFwJ3s7vDjvd0q4unautTFENwdoqD0fn4SYqFi8ED5cJVlx6N6qf5QmtfT4MN nVcQnxmDrmW8AtUJ6U47UjdOapBqUPeDzFRw66G3v+4SaHzqkYXnW3i/yNU8NH8ftsINN48y s04CK5HN4ZiqrrWg3mKG6ux5cOI5EGCjZ3q7Bgqw98rauN+cEA2HkS4O0uEcrrLo5fqrZwKv 5oJCH+I5jfh86bppz7aT7xfm4w9zSxOzxm1TTbLtHtHeRAxWJuq5TxKMxaxZkbm5eXy+QwVc 2e9faV+t6/z3yUSxw7tX1JHmCkL/kWIR0eWtZDVbxnNu1H4Z7btmFpCsKE9g3XkchH3LFFqY XNDBxT71Stgcm3pTCV40QEynBJZpMaEW2u3yH1GYQpk0zeCWCpmeACKWj4LM+keTayv3dY3T RKatf0CxZVqyH9BgbfPUO+KnXy7epTaA6DJZgaG6H0l1YN1mJTxUGfke6/YzGIb1tFjYg8Pb uQh059r+gy5qujj9RI9r4DmhfENLAXEpzj7VETFRbQ9ZWOEaEFmZPvMJhx41efychE/Vg/vS 4c1aZupzUpKqe0OC3dXOX85aH6bDdquw6KEl+RyNc+P+YdA3dRWcLOorA5HSAtJt0wJujNfc N3yKqfV7IlnGxA/rq/SjM/gYTuHxAJ6xV6xp0BOzokDX3TlvnApdhytzXcZL/N9wfS9J67tp rjQwp+88NX84geJ/H2+/Pd/89fnovpW2cv2Xz8R4Z6IupcUUahbjp1DwI+wgdfPFssp4CxGz sdm3C3peJteCRrs9GGKVPGTZF2pGeV16D/eS8vjl4fH7Sk5HdPNmmVN9jFMTJPiglqUwKWLI 8SEL4CnUzp8uzXouZxRxWQ6/1LOmUVY/Y/rdD/qtAtKQlLKJvhvJeluGfdRvIr4ZBoshV7f7 +VKrEBYINEdNDioSic8/5a5O20XXi7DXzWlCZ8cLfOS+d5u+uu0vRCjMYsPSGikqTt7EpO4a DOLp9sV/hqjQl2/O/rgIlOsnrrGEmKSzStVVllJBXwu2m6YLy/x5xZnvKKWDlxqWFQlTzXzO 1ZCGOnbCuY/YZHMPYvFqnLn8HyIxySLOdaMUUZnrrA2OYq9fl6pK9bRfGznIxkTcw8arYNLb zuQbjMSYFJ+4XeJORIcjEToaiATXOiyouu8hJIdz5wqOZCjsnUruG3e3MSyXbSRYGIHnIdRe 40WoXVSN9BfEu+HLRFMWjt/GgGB9I5n+f86+pcltHFl3f39FxaxmIk6fFqkXtfAC4kOii68i KInlDaParpmuGLfL11V9ps+/v0gAJJFAQnLchR/6MgGCAAgkEvm4qkWBx0t9GivMZdS/Uo41 VKl7VS8wGWtSHCQ5No+EGBeiI1p0fwVgamH8fq9c2MZ7DLlwV8/v/3n98e+Xb/9yV2yxBt2b bVG/xeRjxrIj5I4e/xJbTGkhuEhXoB4VPwkPOETuatJBIDM9C+AXWBxgj3qJsuKAbGslCFu7 p1J1F50hGUHi/LSHq+E8frQIavF12E1/AtSgowWkvLGQvMF6eBjS+/TRATyPTkGe6mJTkV/G 6Ic1KH3SyCguqak/NUCLPVezdP40GxUlA+LP0d9uM51NpZkB2fmCSXn+xAXj3DQGEZSmauzf Q3KMXVAaZjtoy1qrO/MGG/wr7ADSVFqeesq/SnIM3alC6jt4ed1uK16WECgFVt/nzifbnLsc Q6fErRnwrD7ZrRTQ3A5q84DhQbNMAmqWGVZXChu/GnrcNJOcTb4n2ZNVgnIeOl0FFBJ059cg njjCuD3QVUDwtadlF7oggGJ04W7pkV5txCPFfw/TZCUeMfHEp715VzLKNyP9w98+//nby+e/ meXKZM1R7LHmvMHf0Xmjvw84C9KmjZJJBdKB1WVIGNVMeOGNMwk2eK2ZIHfpnEjWQqJwZ8ih TWXebGxG7zTYzCh+M/Fl+F+bk+alkuR+lgJUXw9qJKxTTaFDKHOLKpZ40LXasPq+SfBGhU1e cnHYCO3npIfNUFw8XSCpQsSg3ClnBiuckZo7TTFV6/Eepj9kMSJg1QQXviDa4DWo6Rq9Jmd4 C5JFxIlCXkSJ/a5srKiSgkddHVP60ca+VR6R4VSa81Z87bE9BSU0fuVSlgHgLo7z5M2JMG5u Q7IcsIVXZHOTb0nqb7xPm9uiI9ccnz7/27IGHqsnGmBWb1Vg9AePzS0Ofg3J/jDU+49xZfnl drNiQG1FcmLBSkTrCn0FwPaMOuH6+MHNyGnJT7fgJ54sZ4F6vLXWtwkdW840k4BfQp4WRYcc me8aBLHPeOoZpLa+dsp5diXWmRGwOnCXMY0zRwRMD/MYO/wArWAejy0g7ttwE9Ehv4uwo16A m3Nn3+aJaZqgfg/5oRSzrKrrBmkZNLVsURs1GmfUsV/Z1cAHy5m1MgBENvws3niIFmHwQJKT NK5SMiJ9YYyw+BHinmQFdWTrw7VRiDXGXVhzrC1Bd1PUl4Z5ouKmaQqNXlPB9dRkVc6pcil4 +PP5z2fxWf+q1cDomlhzD/H+Aa/EAB67PQFmpgZvRNXEQ33O5R17Thv4jwxyT6M7f2RpPTd8 I90ygHeoD1TDuvSBukmbyPvMfcd4z11QbDtk/cx+dYtBiP8JVTDhngP/yCD+NZWUU7m2dcHy AVrh4uKMThPiY32fuvAD3YngUH+tF7MHxUKWZffUWXsuShU6HilD/2my5SlVSLRCUK6Um9Ua 7vylta3z4BMzgojRNm5bGXXpOxPd3hpp3L7csehCnMlqqVO+8gDdwA9/++f/HT6/fnn++jft +vP16e3t5Z8vn608KcAfF06/CAhsL3La1Xrk6OK8SlLf4RY4pFC7omrPLleKnZZosdWQN8qs JmtR03lUy88eIXUib/AQywYWZoaFEbWDBk+d1WR0FWnr4iX4NVsWOfJoLAlXmspMk2J5LAc9 JyiRUhc/MByq9yCZ23rvHVNgAI3mlcUYWLiQzEkv+5GhYlQzU5QyY6ostzVTEr3f0+wxPzmb kGx2Q+ouRjLIAG5lzqDpR5e1s2wDJc+uvbQ6Jmm9mlP2YPnbI4YuHjWq11ZL8fUb+oHY2LaT Csy1eV3gqKBiv2bSigOJVxM6/vdMnaYMroJ5yifMY/4ys1T0AmJwlLaWj3iOuteg3swOXWZQ Rnes6aF1k1ZnfsnpT+zsKCzPtLZyggshz2o/sZEkjQaoqjDBUe2NKnn8JJjT9lwCbDhwSuqQ JMfrSqJ54+oGVEBrqiuOOFCOnICy25L07J3DxRJyzcBx2+LSPA9th2qF3wMnwyNJkmjw/BIS KY+WkrOKOfLwhd9DnZZgIjIcoLNInUdrBo5vM5lMwlT19A3qdW3uJTUXtLhncDi6ZqlBhED+ /NFyBNs/oOHQ0X5pzQZcaaWsdOzXpP4WzANVHAZ8D3P3/vz2bukK5Fvcd04qDq0ocEpaBPNq Zz6SlS1LpKCpDcs+//v5/a59+vLyCgaj76+fX78iexgmDklUN+IIAeCa2TJKSgDK3rwXAuBw wb8/BrvlDkM5V7p81RZx7kqe/+flM+F+Cszn2NwxJNITLeRFzKibdaCJDwHXELMiBpNxULaa 3yjQsiKl6j+0seeACNT7MwNvmCbO04zes+VjB38b43i7XdgPlSDYmV8rRAQFl52c5fBvltiV llda0aTsXr8Fro1/ZBCVB4NpybHN1gyWcc7sB2dRsFlQOh/cg7i6sUV2ZVNLqZXFYKAa0hQ9 FPUU1K8K3e5MMk2igoWabHVm5+ExYCE6OUagMCK8ES2CsNf/fPr8jL5TKHzMl0FASfhySOMm XAc97jkN2iM5wSoklxKSRi9+txm4FcpeVl3s0sm3iM95Wj9NCyWIzp0maCcSWJvBjkyLKqJE RYbHEZS47BqrqmOe0OkegEYbeu8hn42fknhLlTzraKFx3xlSk1mE8ndV4QK+/vn8/vr6/vvd F9WNX+xVcd/ZsS3hleL8xNqOwobjioT3MXc6TZNYd1xSehGDxduEgR02fW9Tkq4IbGzfLWMH K05pzMxMGgo/H5FxqOjz9oxsMLz9Zux3mRABWjKPoSDdmzuZZ5/P8v3QntB90CVv0wIZZYwI nCMMFHzXsJGfhHB+Ignx5tFhys0tLDuARjJAMlchIZnVs6RjL47F4PtNC4jhOFxYW4klibt1 S38D8SIyOwRc76eHZE+wgSnn6DkELNKbm+CblCc00TpYTJS4TZgbAH4iX1AXCzFz7BcLkcY7 bUwQ2his1mC4C5o6Gbj9DNeHv/3x8u3t/cfz1+H39785jGVqBq6eYFhazLGcCGSWQ6JSPppP +Wy6cI1OvBibi3cMeuwoc1/JWPBzML7sPjelZ/V7fAUM5lVz6hz00NjK0F1j/57NvpHEvFNp mTyH813j5IFgOU54JH57451JoqjHkhZz8HQ2Z37aHIcC3y6NGNzud92j9wkjG3w0tK6gymL0 Q5xED3ln2s4CWJlroQbA2NoF9Z4w96LAj7Eb6qh6fvpxl708f4XkG3/88ec3raC8+7so8Q+9 pBp7ENTTtdl2t10w/FSUUBSALGnsFghoyEOPTlPQm2q9XF7lgNVfvhw1F6AVndtJCoNqSdzt v74helqBRC3L7NJWaxKknrlbHzNz//rJERgraZTyD384eWYAlB3CiMFZllJeQ64FbRqrIXGk FvMWJe2ReggwfS5NzzN585eecUpt5fiMDFnBvrc+Y9PitDt2gmlUv/juG9M5E4+6j/ccGxWz Jb+n9DFK59MwRtn+oTPi4uxk4uABW9L+RCk7gcp4U6JqJELdV0w06THFRXvIWY/ZYE/8KWY6 dRdiHJqOFrllHC1OnZOAAuLBvd0r11IFxODEqEyLdcBOCHrpqZ13ZlYeQKT2xQZRilEAhPCI +126skhxTGGYmNdn+w2ErOVpU8OQSklWbse0GYPsNMQiC9jn12/vP16/Qk7HWbBHz8868XdA huYFMiTtdvSWE2FOHYqHuIcsQL3TouT57eVf3y4QhwoaF7+K//A/v39//fFuxrK6xqZcRV5/ E+/y8hXIz95qrnCpTnj68gxBzCV57ijI0TvWZb5TzJK0Mi9cTHRIG6cTRhIc32V3+T8JxEoH ZRVd/nEbBqk9fyToVO8wpMgR5/arT5519CSaJlj67cv3V3GAxyHy0ioZo82gxo74jaCKwCm+ P/vAiho1PXhqytt/Xt4//05PefNTv2i1tvIWRZX6q5hrwMdFV+WjEOmOPsQ5/YZQh7WY69f4 5fPTjy93v/14+fIvrJV5hOQQ1BAnm21oaDzzKFzsQrOB8DCwpFJRBwwBmTV5YgrHGhBCIFcp xSEP73Jhk/Vq2vZD1w/SzYaoAkvGc9FTqS6YXRq4QyA96EiQDu9DbN0vqLzJT99fvoAXpBo3 Z7zHKjqer7c98cyGD1J54DwUSmwior/NomL5C6nCbS9ptNGfp81zjLWXz1rGuKsnd4rpEScV l+KYFg1pDyl6qSsbrP8ZsaGEaBakMRerElYoY7tx3rTqSVOoRYhjNhkeTfEEv76KpeTH3OPZ Rc58pMUYISmfJZC5eCaC+x2bHmKkLZ1LychP6oXNtyIZSMd3p8AYf8GqTsqi5JjZrzvpcWSQ BohFgNwdp36X6kuZtdFj4qH1m62t3kQMsA7qaoRIAxGD6GWzHB5qPtyfKgjq4ssIJCtTMRZ1 lTIGHNFfqqKRKR1wIDwj648UrGQtNPl8KiDr2V4IBR3yYmjTA3KtUr/x8UVjvMhL5Dc44uYx SmOXwIFwmMnxOe2DW5/4RBJQqbmU2Lx7nx8/sHNpyIAQ3E6GT5ITPcNzFoiZ3OllcB9yrnnW gCk8rXM4Luu+M32swLQCnNxKy9HymJPAtFaj8LL2AVD8Uzl5tGSOaRX1jZxrh8oX46SjLoBr pD2pM3D86jxRGgX1vt5/nN9GADoSH8K0uzbC0LjX2WCZZwpEOXxTmU3sKPEqypod/V1D1HZt eiBJ9yOtIpuc8sZUeNMF6syMY9rrMCgOMFSnooAfLgXdziRtjWxqRiaQSDlPxCDlzTLse3IE P7XMc3GiazmVKXVhNZLBisJtH6DSrVfGXZojbI10ZTFNl03aPbp8hN+DUqZOcSuvtrjaXw83 w++pSTtR+8htU2ueDg1Qv9+cxdOkSQ2o6dIsRwru7+PkbA/gCOvFBqKSzVImYrgQ29s4qTsm pzxoRkgGbciyJ22fp7bvE+JlOZavJlz0Ntirp5V7J1Wdy9Q40OmSgFo3GtPInU0HfsmoHGpY d0TKQKAcLyXpFC+JGdu3yNdSojj8h2KMLQD5NymEtQdzXTZAONvz7tienNZpOkxxWhtpMNnK aZIpo+6fTAbV8FkxaHa+Om2/vH12dx2eVrxuIRUIXxbnRWiGC0rW4bofxFGvI0G8wZsEtZvP n/CpLB9huSZeId9DqGhT+XJkVWemaOryrLQmjIS2fY/ussR475YhX5HGAmKzLmoOef8g9xTc Q8+1HYUIUaBbA9YkfBctQkZ7VPIi3C0WS/RwiYWU+mXs4U6wrNeGMcRI2B8Dy4pjpMh27BbU Bf6xjDfLtXFATHiwidAxpmCdOCimQxo3S31SJ6cZt/aAcSDMgz4WGpVeaOBJZkZqas4Nq8x9 Ow7tDVUhYkKIR7J2CAOcgkpFSUmFPFK62huFi0UuRBbJM0y7EGm6m+PM5ihZv4m2lGmTZtgt 496wNJ7Qvl9tiBblSTdEu2OTcnrr1WxpGiwWls/OGGcF98TUrfttsBi/iLlrJeq9RJqp4nPj 4oTTmb7/3fNfT293OVxC/vmHTKj+9rs4J325e//x9O0Nnn739eXb890XsYa8fIf/mofZDhSv 5Bv8f9RLLUx6pZm/T3AMlEn6Gsq5YUzVhhahCRR/rpUZuh7161kdm88lafojzkeXB3xeEr/n fL4q4HabxrAvP34wsu+l8ZE0AwWlDSvierRqmoVtoLSQ+I22QjqyPavYwHJzG0CL/swJMW3N UEbqhxJZvz4/vT2Lip/vktfPctTkjdKvL1+e4c9//3h7h4g/d78/f/3+68u3f77evX67ExUo FYiZpyJJVax8HDYJYGVCxzEoxBdCLpYkjsJdAXJI7N+D4pkHfEIbqruM6nGSR5NwTVIUdFF1 6ikqc5IQ0wxeHiKM57XKTouaKw9imatPhN79/PvLdwGMq8Gvv/35r3++/IWVi/KV1Yn9SsMN yz+n5XGZbFZ07j/j5cQZ5nrHyNNzlk1zSkxY4x0I1bxZuXmTpn7DjIcjbt1a+WzGYnWW7WvW Xhuu+Y7DLiuWwk0YuIT2EzZetN7PiTsHNJbGmxDZMY2EIg/W/ZIglMl2RQvXrMvz/lpPy9Ei Hta1ORikuoRj0y03Gxf/KLOvOgEp5WwRbbg22F0UbEOik7ooDJbkxwGUa1VWPNqugrVbZ5PE 4UL0LoRDJps60quUMjyejnjnixkiboLzvESRuWcCX68DYuh4Ee8WKdWfXVsKcdDFzzmLwrin JkgXR5t4sSDmoZpv47cEYV1HYzXnM5IxX5X/i0ZalsMa2Jnx33hsJmCRZdDJSCL6Vt1C9QqF GqNboZI6/l1s5f/+r7v3p+/P/3UXJ78IAeYf7mfOsX3xsVUoaQs5FjETao8FDmQ1pIeIbP50 DEDSNlBiebHi04BJlqI+HHymUpJB5iOSOllnBZcd1Y1Cz5s1YlL96I6ROPSRsEpnRFE45Irx 4EW+F/8QBHkFzFGkf0lqm6muSZ6w3+P/4A66yJzL+GAEFE/AGEmT+bwddx81KP1hv1RsvhEF lpVisdq/r/rQJuzTcESc1WN5GcSH2csvxj/Gx4Y0CJE0UcOux0v5iIt+9tfJYnrrUkQWQ4uc SlkeixMwtY5O5F2P4uRKAPYMDgYe2h77wzK0OSA/M1jlFOxxKPmHNUoaPTKpo4S6Q6T0q4it FBLPB6KSNj1o4zewn6jom47xdXYrjw5TLXrnq11cnk8lHUpGLX8NaDMoeVw9HSIA8Uf742Ft XJrLklpiRDtCAyzFwVMuwmJTUpklZol+JJXU+XuiThnsbYL7OYtj3ZJEQ/jQpV2m2OGCOX2C WeoaPSSWDnGC75oH+7M7ZfwYJySIRaaRMCSXGHwoSaIsRcirU+EYLCIpzwqXdXzOTzHvORnD c3qsE/NDrw7iWE1r/NSadOJiFyGlc9XTj+3eHrxHczXXp9HmjNc1sbZn6IQsATJUnhq7Clv7 TOAU29xXMin7ZbAL3PUoUwZvnsOpZDkk3fGDs5XlTlV54308BIQ0rwBHkFnpzdULdemVFYM/ lutlHIllKPQ97UEO1iC+h4X1yIeCId1xF5eAhUi0M0DbkmKqxNmOVC/Hy936L+9yBA3fbVdW dZdkG+x6C5xvBZEYV8b2NofJEZJE1dzN9CvjqtSdgnd7PqYFz+sBJqNV3ygt+G1v2JEF65Ae Qs2iZ901lgfni7M51ExYk8ZzqhPtaZschzYx0y2PqAwc68JpSfCy4sQc2cqS7NHlDn0HS8al U3cCltZcTMd8TBQxK+8ECnlEyDEEYmPPUADBVoP6bEavaufWRD7G6AQtF1pcJqpEO/PB2Ylb l39KO5Km6V2w3K3u/p69/Hi+iD//MI5Gc/G8TcEkgLIp0aShqjnybbtatzEI4ETR1fyo7Sw8 wQy0C5yxlefYBVqPGX2713oiHUHkJ/1YpCQFGG5ePHeFpS2VI1rBKkYt5EBLq9x+kICuGPGO HN2pAgOk1mPTAmwwEsqNyvPwT1YcoxHzqr6BJnY2cbozo9HPoPSr4CeUNNOi5km33QaLNeaQ aLgO7daM+NUWTUxtfB5QaiFEpdvGyj3jnCXYjANTbgzHsW7zT56bdNkC6pQjB0jMz3CxSO0n j7hsMqg4C+9knVg7OAJABtH5Bh3R1ea1MGmml4H67ekjXouTPlIPSDce9/NUJs0vb+8/Xn77 8/35y2jRx4y8R8jqejRv/skiY6NSyDtYmatdmdg+Tee0gqFbxjUyR5e7lNihtmg5nPFoR/T0 uW47UwfYPTZHK7q88UiWsKYj3aJNpkOKVSdpFyxJXZ5ZqBAn2FzUje7weZHHNfcFfZmKdinO U5NWdiZ7QIa6lAnQDpB8hp7S6sao474YMOMTS/bJ30fkXmsyPJxY1WFZhj14oveb5drY90iY NDV9sDXZTm3d+jzcNM++rVkSW7ZCKzpa4D4uQV9O6uOq3swnbo2HHIOlp5ip9YSfA2+VJ8U4 Jx6FxF5ip03BiLMSVODqCuXohgNZBW66GstY8iUxHUxJEr32JahHweIfN89jyjGX0k4C16uO 2TnHoZK646kCo1eY7g0dDNhkOVOeWibD/mCuDQahNQlF/nDKfcuUFu5NvayS9ruAwobgQMBL AltRmA6aZKh7Rwr5riMZJTQbQZ0gZzrF2+SGp/Gc0o94cyGoGuVSZPZg8snUHIZq/ZCW4rRK 7AVxD05IBpAgslFnklrP6k5Fbhksh8FiRS3LI6v5cygvWLxXYEkfCCSxYg1RBFDIUizW4vzA PKtekq56Q4665NW+rpIhWhkn7KTcBQtjkRG1r8MN0qua/eFx/jNY0vKEr8PS0DIWVYj3o9dk 8Q9RaJ8u6WVEkQtwoyNjHis6v388sss9Odbpp/hoDpj6PVQNKOsqsR2XYNufWi9jVJCdPuYd P91akw51ffDGhNM8xxO7pDnZzDwK16biwyTpgA+zyEA7qaX6rhXxLeiTUH6gwokK9IyDYPc0 n4BTm89vT6io1tqjQLlM0C1ceZtOF/hY+uPL6Z4sWXtOC18wz5FJcLDKTM5XFv1qMDMaawDH oJMgVhdIyFEfTYzSa4ZSWxf92jFOkmDWHCgRZSowWNpxwFNIiu6LZaAZ2r7K6F6VHOAy46fq B9uygMOSNzX23pck/wwQZH5xDvMzMbuQnwvcw+Pv5Z5H0ZoyaVQEUZdxdrznn6Jo1dumQ9YD alhEbk43YORpSSkBTLbH1lgT4FewOOAkSSkrqhtnhIp18CjUZgVR5Xi0jMKF5wUh+G7rsxHH fG1d1aQxmMlmrnj50EPE659aeaPljlrnzKrPQrIyZAOZ/zZJLVvnmb++p3pD8Ne+04NO05NW ByHI3DxENGnFIXH3Lb4rClWT6wRWbOTNlsHVJqaP0GZhigEmWwoHOGOPjILlLkZCDyBdTcks bRRsdp5qq1RdbFFv0EK4R9rjy+DirOQnj1WAyZamlPmzyVEXYqkTf0xFuaky5RDBIk7AwAMt lID7T0RTKcJ8wWDJYLR8B1+eF2TwN8SCr+9zvqP16TkPdvQg85JbLuhKO1/GuyDeheTbpU0e WwLF3AZR384Kf4aJK9JgG41JLJaStPd95LyTy+TNwT/d6r3Hqm7QBTNcVvbFoWSoS2bUc89m 1Nmlx1OHxXSJ3CiFS+TgIHuRaT24J4tIV3hCHBq1nkl1osFwyT9ZS6lChsvaN7wTw5KcaEbl ylx97lttvs76HGI2xw6hKERXIQKqrKW0cwCHOPRoliSknW7eIGfHmiUthFdButwZFeeHFtI8 gr2st5v5HqRl4mFi4KzYKgCYd8wXgRjn/TQB68HDAXxFTUKW94KEIJ5N4TjLPL8TNG/wOVZa ZVkCV8VHFGx51J4BTmmO+yja7jZ7u9io1/IU28flehWsFvj5AgXrGQeMVlEUuOiWYFXRWK3u jPOYJQzzaiWA3e6EnXOi2fNRIW6KE/e8VdF3dn3Kgr2/sEdfGbBO6YJFEMS4gfpkQYNCnLMI UkR1MSlV2o2aCV3gadYkaOIqK6lBYNaDIJBS95GJVb13pk8XLZa9tzsfxkdQEoISL/CjtHBg gUImoN4TthNP5bwTR9ne1LqkLRNzJ4+5MyUakGxDT0VA7eIoCMhiq+hKsWizJQttdp5C57xL OU/xy+vl8SC+9rA9qLtLPCnEmWS3W5u2pKUKI3FGMe4liJyY68y6DRnLtei6VJbLuz1DMbIl CpfSVY5WbUmYNKkmqKPJGZfoAjzmYMaS0mGnJYflhiIxMfAQDDAnTbiAoY71JQYulzcPq0Ww I+fqyBAtNlT+GEnWKttpBRbYXfnn1/eX71+f/0KL79jbQ3nq3TEA1Iquh0hjSrMeb1CYp4SE rki01Hb/3LslCNrQNzGyLiX4DXGwIRMYIYUmL46mwAxayTFIRJpYBGm/ZmHgqSL/txn79fj6 9v7L28uX57sT30+mztCO5+cvz1+kJwxQxtjb7MvT9/fnH65p9qXAYVHg93z5Vorlh5ZyTDaP Wy/mKcmELyaPcRM0bmerJfoBnxPOGwDYiadcUgZxTBw4pzQmmJGuwl9SBuc6dbXKEI6bJGhS E+Ojy4ZZ37UsJ2RXj8e4ph7Jey5BxPEpATleWhyiGUDfPb+g2babE3TtVWeOay+suZw2apxq qSbdbK92B6CK6sFvYOWjA8ZiZu37RVR1rYo2LsVJxQwUDKa21mEIsMxarRGRCm5qkJO9sYmY 34d1u8Py1vo1YI8xs6yUwm5+pTKrsDhV3/hQtQxmPktIm2nbMerifCSJrSGvIBQPVW4iemdB eYEk7ui2RUMypARZooju6a6UyfOQ5qbsthtb0wwQnscA/bUI8e2dAp0wdgq26vsrpPlCi2+x tIBgTRYM1phvpwBydEkdK8HXMn02m499XdiT5zhUzFaGtV0RBdECV1TI6GTUPGm7SxSZpcVP a0QUhiyyFRQJ8XRPgil+/Ih7Ikhqhm24TK4yRGFAXpUrsnM7YcAepT/qSNKtxOTg2Hv9EoQ3 R8fM5XwpgnAd2L/t8AiAko4cghCZ12qXwooELn+71c2N+fSYeLwiTC557k6rioxLp9QbLXvE a57GL8VyTQZcmGNoX1Rs36kkGAwPsKBQb4xlJNFGuYBQWpTEzO8IvyDdiIsMlj5d4nKB91Q6 ZK1VixA8nRroHCjigxEThD8aa4d4o97Yx5p4uVh0tbGfZKwFj7EZENXn+Bc4ZsxBdCAtpbQf MGTXPbbIhN9KcAcLBup4V/biBIrcM/VN8ZBSS4aQcFeDbZAgTmc4bDOEKZnj9Go050mFf4mF yVSAwS8VR4tgE2tpkhTpBWnFS12noWUA/oTTl1qKWgQ1XpCleP8H0O5+f/rxRcaFc04pquwx i9FaOKGyj22cncuszbtPNs6bNE0y1ts47MeVfUSUlMtm49F7K7ro8Y+kkZauuEGnYYVxhtND nUunU/Jv3/989/qYWvHZ5U9r91ZYJs70aVlYAfoUDZIp0ZmmFJ3LHAr3KKycopSsa/NeU2Rz T2/PP74+iRMkyoOCC9Xi4IGCbGEcAmObh2OLyuM2Tauh/xAswtV1nscP201kv+3H+vHay6Zn omnpWe1txoj4IlerAvfpo/SBNzt7xMQJs1mvQ1qRjpmi6GeYKIPTmaW739PNeOiCxfpGK4Bn e5MnDDY3eBKdk63dRHRkmImzuL/3xAybWEBBcptDTmtP+sWJsYvZZhVsbjJFq+DGUKhP4ca7 ldEypO2TEM/yBo/YgrbLNa2umpliWtiYGZo2CIPrPFV66TzX9xMPJAME2efG467dzc4DVxdJ lvPjtQiIc41dfWEXRquYZ65TdXNG8a5saNF3fkuxyNH2ucY8WYqP8cYc6Mpw6OpTfBTIdc6+ u9luUNYPHqOXmYk1oKK/zrSPaR/MebZ090MjDlPehVMuvmjbBEAs5qRhkqTxtM1Z4ZZhTVOk spPo/VYywV3SbksPieKIH1lDGjlJagpCt61ERhRv+gqLjZdW3GmL8cz7vmcejzHJYa9ouJce K9bIGwqytTP5RKrypl2PCyZ0wB2xgVWsqOkvc+ZZUvb2MznJyarjet/Sbz6xHLKQMhmd6S22 qEUEsYrdqP2Ui22grCnJbGKSKiCUEXgi8TxJL3llxbqZyF2ZeIwIp7qlKdG1pwuBus1run6I glLQBh9zE4VomdbtnqxAEveMtFWcmSCrnXlQmN/vkifiB0H5dEyr44kRFMbFMTQgWwPC1+nW kPUNuzrXGg4cOEwxQRyyjGxD07c3hizjOdv4v6UO4iwgZYRC4AMEJ5jY4+dgcuWN75LB4Dqy ShxZ6Q/TYLvfix+3mJr0wDiZ60QzqcVYTMa4LlfuIUEux0qupm/I1SYgDvOUhqjMbYtWCeGo 1IBY+hOFldRYSFK2WFoVCES+Sm3hYaKj2Nn8ZrIxjYQ2slw4jcqW1G2gJjGXfe1nX6+nC67x 7Jv/Wt/ZwWnwSxFBky0O+XPIo8UqtEHxN/bsUXDcRWG8DRY2Ls7bYhu30SLfK3RWdUiczjSr aNr1i6hNQKVKq4MLtPFAPoU1e1q0UGR1AjAfc7K658DKFHfCiAwVF6cqAi9WBJiWp2BxHxCU rIwWahnUV6rU8E7OzdQ5X3lM//704+kz3GM6AWO7zliZz6YHSy2meiFDole8YGN8yYlzZKCw gRdpahz1jxeDe9YcdgZh2Isdkr7cOVV5v4uGpjMN6sZbJw+oQzmH642hfpQZNOD6zfYjUzGd nn+8PH11dUZ6VUtZWzzG5j2CJkThemFPLg0PSdq04AeUJjIunXhVz3QbC6hA5GRdwWa9XrDh zATkDWxl8GcgklBikcnkDCJqDArhYhDSHmudUI23W1amkIGWWpFNrqqVud34hxVFbcXw5mU6 sZAPSvsuFXIXGRjDYGNSlTec7Tx5aCQvN1+r7cIo8pinGmxF4wm/j7rIF7RK8dQZGfdGxel+ /fYL1CEQOaGlhYMbWk5VVLJ+GSwWzjArvCd6AzqpyDsyFo3iwLu0AXpn20czYrTGeJ7l55Ro gCKMdfmbUYD14QNRgSLcroDHcWUaeiHY+y48DjY5BwtDsh8mMvVmU1Hr2OhjQ/Krpur98WPH Dp75bHHc7ghdAKcWdmkwaVTiIfuLNZn27JS0YkX8EATr0AxFRvASLbPZ86zf9Bs6ULdk0FZu DXfSYJIMP9Eb2Lt7Rn+qKCxrqpMCi9g2odO7ApvXwTm0m6ZmXEzmxvNaM/F2uyRvXkGQ0Wu1 zRy3q4zBzl58aDJ3aSx2XGrDcJl+Zshh+/gULKkbu/ELabDe3IDpB4whe7AIYK+JcdcWjq2h JqpMXlVCh/6blJJI3DJRJV9QYlI1HDjpdlN/qkvTnQnyi3QdsgqV93BDW5860mVVkTmyKD+e xxRExFvCzQid7lLnoiDanzdlDufQpCDbIMh7bVGqlCgZujoUEmILXkwlAclsaEIiL1OSaiUn nwmsTCh4z1bLgCKccQgIk+AJljWzxGLSYMOtmdbnzTH16LZAgQn25M72rm7q7z4TIv08Wo9V LK9LPMIYmJKUrBpWC48zxszgiR4tjvHhipZ18mbMfU5+Y972TyrLCzsbE0BMDTS+4vc9Aqoz yucCRgLT/B2rZL3C0zOXZ4K5LjulwbEhb2DF/D3ExxTUWTDn5qq7WPxp6NlpwpIv504ML4m6 bGhnN8Ahbs2cEyMFdMjSVBR9/AZxvJSmFgGDrTqd68484wCx4jEGyCdRT0AMcUtJ/EA5d5Ck tq37R6r5vFsuPzXhyqtLdxg5GatdLAaxjpamEbHzF4/Ibn1ExqRXY2JOd7LOuhk92O0JUrI2 tG8+YoIIuSrlnXtVL17RvaFHeVniRuadFufJNj3k5lgBKm9axFDUGAaraTMahcSOghVdVAtQ 2ZQrE/TZ+ly2K/795TvZOCHW7JW2RFRZFGllRt3WlVom6TOKjNhHuOji1XKBsnCMpCZmu/WK MlHCHH+5tTZ5BTu4SxAdicEkxfxOK8qij5siIRe4q/2Gq9LZET0ZkKeLoXFEoDb29V+vP17e f//jzRqD4lDv885uLMBNTAVUmakoaqH1jOm5k+IJ0tDNs0BvSXeinQL//fXt/WqmV/XQPFgv 17jHJbhZEmBvg2WyXW8obOCrKAodShTgmwQND2VD6f7kYhmZ0TIlwuOjjZTW9wSR9VcYquTF TWg/XcOivbuIkmIlj/QmFx/ICVcpo9fv1naVAt4sqVOQJu421mdmyTQaarDzqxxdmfqCSFMt a45LN8O1XMT+9+39+Y+73yBnoSp69/c/xOz4+r93z3/89vwFfC1+1Vy/vH77BVJJ/APPkxjW YXfZSFKeHyoZNhfvpRaRF0iMsKhUEGKLZc8ehXxMGnXblaEUF4KWlunZmoj2sWHEUC68mnZP l8u93z5CTr6YkRohg6W9X/butCk7X8wTQfYkDE//ElvhN3FQEjy/qi//SfvJeOZJx8DKgLBN q99/V8ukrseYMHYdxJprzhZlxwAxKavUWbMznpNrtXdls7qpO5F3eUByp5mEdD4oigLJtyCH pjv3IFazN2DozALL9g0Wx5zAeGE7AVW+NJN8QQBugUCQ985Kk3oxCNThG1+8gbTqc0oAmvsA iabuJAF5rnx6g/kVz5uLYzcn0y5I7ZGhRwGsVykZVNwMTJu9D1Er/EHd1FuNn77zvpfBl/1P kz3xtBVR58NFZTI6WYKggBYSFDJEv3usQVR9BXbDGEGsTBSg1pNyHMYBKDUkIq9I71hBbXqG cubMmHWjIPDRARejPA4isaGZQcMkPKqEzfnSm7HaAOnB38OCrIgBgH16rB7KZjg8EN1nRYac J6Eh2rkadWjNLD4D/5gvVs9ea66KP0r+Rs+eQy7TKXaBpyvSTdgvrN7BK9EEyROr/RRFUREa QWnTtTW10cl5aefv5Y2pdjpy/AMdQdSVtJjBs1D4NkqNEv76Amnk5n45yiDj+HapadwAr03X iMKvn/9NRYYWxCFYgxcMnPdoLYRTfmyBc0oYc2ZrwnBo61NjnBkFjg4xBj8cFbJTFVuXp1CT +B/9CEWYF125nOtnkwvL2C7Gl9uQEmknhr4JFzvUsyOFjIQ6UhO2W2xCqlwZN+GSL6IrhXle HbA+cKL0wZrMhTkxdGXW416TD2X9drvBAaNGWnsfLWjr4JGjjtOipuNVjyyU4Ocwxce0bR/P eUrfC45sxaNYpWtfLpTpiW3d+4xkpweyqqqrgt170syPbGnCWiEF0pZB05Cm1Tltbz0yFftR x/enlrYfmj4IGQTzZsty0fO3eD7CVWx7k61IL/ntdvFT1eY8vd39XX5wHyoXlPb52/Pb09vd 95dvn99/fKXiRvtY7GkrlqJjxQ7W0jb29MNJbFH7Nj9R0jvs5mjL1oA4O/AOsimLDV2M1Id1 MN0Q1Zl1dJJnDZypfKwlbx/0FmytOh4pQlY1ZngysdjaziZwOFMKG0l28vhJVJqnL2ZV1PMf rz/+9+6Pp+/fxblRNstRLchykHpvlKLQi49iIW6bWPcaemqopnulQElOLqyxBsWxjFBHvA7+ WQTU+dzsBPNUisgtMZbH4pI4T8o99s6SKOO8nenTnur1fbThW2pJVuS0+hSEW6sdnJVsnYTg /70/2TTnDl/DtfchYl7FplJTguc+Wq8t7BInu+Wqdyp3z6zOmA+Z3U2j6s4/z5TUIQSFXzQV DLCuzMRsG0RRb7U57yKn+0zF0ogsg8AuqiPr2igPNvEqMhV4V9s46Wck+vzX96dvX9y2a8ch 93NRuCf1t2bBBkxq/opjD3lwN771BbUChO7wavxaG6QCeOkW1bhdlGDy+Ctphixa+z+Srsnj MAoWtk7V6nC1rGXJTwxEaHfNPtku1mHkoKLdQXlxV2CQ39aUYKhWhWa5M8OFaDDaEj04il5X lhDJ4fEJU9PbdpRBvaf8X5wHdw0XlUYbf68LehjYfSLhaGN/SxLeBQv6MbvA21fdQ9lHG6fY pYyWdlzCcUVxh3hKoXt96F3FtRrmLiKdy1XvCymrttcTiEwCMd+HYONSUkUKVxapTeJlGLgD wWuIc1Z47CeIt5rOws7b4orFzh2Q0ZHGaQVpyjzLAemxrsjxchlF9gfU5Lw2E/2pfaNlwWph fwilEMy1of5oI+K+Cx64w6FND6yr7QeU4ix6MhQdFzOSQDCoXU/2S/DLf160PtJRHAhOpTiT 7oJmZOiZkvBwFaEDm0kLLpSMOXPYmuqZwg+0FpVor/ke/OvT/2D7BFGlVk2IU5SnNVpDga76 Jxje0MzfgwmR1XyTBOE2EtCvkCsUYg6oxBe4uo2nCeGSJkTeRmP/AEyiPSwxz822LiP6yetF TxO25neDCYHn7dLFykcJtuZHhGeGcR6SmT5kxlJKMSCp/NQ0BbIUMHGvyhkxyejwhmoBYjwC fYbEwhLtwvUEz90uF/sBptCJjAij6FZ1oMyzMdBzQWBO2OUXGzNTNOvE5/YojmtdtFutmUuJ L+ECpdTWOIzOZkHjkQ9Hmwyi0MEKRha+pwzBxrcSVLM3Icb2CDo17R9CT/LbqTlShiFegO2C NfFiYviCrQo/7TxN06hdHrGEphA+vpYQ/8RgLZcuRc6YBQrCMZJAnAq3tKWVZvF6pM/Vyy68 0uNFt9ysA+r58Dqr9fZ6C5K0k1eQinuzpl3ajSr9gh5m2tG+6COTGPxVsKYG3+QI11vqzYC0 JU1BDY61qN4dLyBEZuxqk7CLCAIv98vV1sW19Ll1p+GBnQ4pmLOEuxX5mY0moFfmYtutF9R8 azuxNqxdXN6Envi+SVzaKebBwrxWmd7ZPlPMhN1utzaW9bZad5sgshcza0WVP4dzntiQvuRU +iblr/D0Lg6nlN8N+Nrxge3z7nQ4tYZywSEtCVqyXQYrEl8FyDsRUShd9sxQBoswoOoEwtpH 2PgIOw9hGdDtK4MAf8Quxy5cLahau20feAhLH2HlJ5CdIAibkG65IG1pI32Tg+pBvtwuyDp5 LI6itGg08fT5kLHq2gWX5ryPIFWZ+/j7YEETMlYG66MrHkyPLhNIJ9Ee6BANExvEKeAlrZSb X3XvDYo/sYAL07UO7vqGGLRY/MVysWg0be1SE27ds8yEwOp7mwFiTfOyJAvLvVwMOe3jopjy 9T1kvyQ6fhsIKTqjCVGYHSjKerldc5dwMC1bR7CMg+U2WkL7qNZnPD6S12UTQycOS6eOdSn1 xGIdRNjbaSKEC07210GIdFQQCoMeEhUq46LKpRzz4yZYkuOar9c3JhqYp8AXcW3okJZzRD/G K6KV4vtpg5CeZBDsTIg8V570/yi7subGkRz9V/S00xO7E00m74d+oEhKYpuUWCQly/WiULtU U46wrVpbNVM9v36B5JUHku59sMPGB+aJRF4AkrxTGUE+69JeIiJHYP44MDpiyVyKH5YARnTN 2gSWPHPjBzmY7Zk+ZuRFr8ThEsqUAz6h1DuA0A+4FlSOoUTIt3z6ulViMoTFlnh8OjiSyBPN TX38hChghIh1iEPUGhDfZ6bK+b5DhcWSOCiR5oBnyi4ihkZXwoj6JKkcy1DC4lhnGG+QvsMd 2NrE9+gIN2NC2XbF7GWZ6G+m6bx1AGqKXs9PU3liCBU0SlvpzydRlIYTeIGBOvAQYEr6y4Bo fKCGFDWkhgns7ckhWRpikgkM9OZrYog+qnE0O+TLiFgDA9VjDrEI5oBLjPcOIBqvSsLAoVQH Ai4jlei2TboTvrxRTFtVxqQFBUA2LUJBMKfFgSMILXLdiVBkUafKI0fFXw6hPuYXPRGlpKtS choZP6DJuGxnvmEPwChBXeJ7HKtMB/JleUpWq4rIJd821b7GF+zkV2tGvHY8NrtkAw58oID+ uGo8lzxmH1mawg9h4USJFPMsqv58ggxCckB1EHpm7It4XniA1wltohn7CYoQ/27GsUyan1kB aUsvs3j0dAmaPKQL47iuSy4H8OTID+d2nmUFzUGNymMG0yuZaFs1ruXOrhOAxXP8gNiF7pM0 sixitCPAKOCYVplNTb+fC9+2yBJW96U6fSkczaalOhbI1C4cyM5PkpyQPd27Usyq3bTMYO0w r7sz2DG41tx8BBzMtggFDYCPR7lEqcsmcYNyBomIxu6wpUOtMmDf4vk8LEGpvjgncrC5VRbn cIix3LRtE3h0M5el/8EqEZYMNgvT8IPTlyYIGakuOBR8cBYATR3OK8Bt3NlHEnR6igDEYR+c QbRJMDcBtZsyUePH9EhZ2dbs8EUGQqg4nVjTAN2lRA3p1HgCumcT6R/yGB0d+3MRrdwA+6Fv MIIfeFqb2fPtdmhD5sx1133oBIFDbPcRCO2UKhtCkT23e+ccLKVTpdZYnE4oqY6OCk51IhQ4 CpgrWjomkMjjb+lqwmDdrAxJA5ZtKMe/kYdfVFHijg+PlbZ1GvcEw1GtyRVsHGPonMqPxOaH Yntn2aQ1HF8tyvE8exIGx1ZfBtd4mjZucwzARwap65myMqvX2RbjRGFJd6sVnlbFD6ey+c1S mZVj7YG8W1FFvK9zHgkPn9yr5oqQZp3X13p3wPfEqtN9Lgc+pRhXeE7XbGKDexD1CQYs68I3 zn5iTp1gnC0vMqA/Df/1YZ4fFA90zMBO4ml2WNXZp1meqdP3hfaGvcaFlqMkw2D4NF8ebidP sfRBv2+X5wX6u72cn0knNz7wuFAmRWwIcdkxNbvklLaNMS8+UIHVca3jB1kiC12t/q5+Ni2t 9MlmNjG6EQY5u4/bZJPuxHd8eor2BPkIbHf38cNuT5vxjlxd/BHuen/KtjhIqUlgZMeA1Nxv BhL+zSLS4+bPWrPfn2+P375c/7mo3i63p5fL9cdtsb5CFV+vcruP6VR11meDI8KcoClWfLNb tUSz9dd5BNIfvtOA74iAKtgDZDK2oj6VgC7iZL7N24SOJjsdRenlQ+tjy4/IXO7TGFohpWxG enMMPb0+7JMOfM7zGs1WiCIUR8xlIvQG4nSj3ZMNNuLDPepMq+KBoXOkyjjqIypnEKn9fN5N i3G47bm84+TTPq+zvr7jl3F6wMdloBuV5p44irxE//5ZhsC2bCNDtkxOsKV3DT3KL4DCTO6J psKHhWGxLd5iQTqrvK0SRjZTtq93VE0GfbYMIEEpk3xZxo1sDBSvYAozJOA7lpU1SyWNDPdg MglKTVDGx6YrNUYNXrDYbGVsQMSN4Kb6QDYSfBXJ+Dk/7rMdQ523B7kLfEutLEzqntJ1+NZq b/SuihtiTrAMZurT2eQaYdysGDRDv36WSwPUMAh0YqQRyzjZfFaqAhKXVbDFpvVov7LOcmNp t3mEj96a4SSwUGeQFcK4aDGz+yINZsb/+OP8fvkyzSTJ+e2LNBdhaN5kViQgQYPbMkaF3jVN vpQCITZL6R+MuyZ6wvOvknyz4yZxxNcDKhOHByWXdZ6utQ8wqNRsigODTO8iRY1vM9Ify0yS fE6owVmqe8ZSS7Z/TVNkWqKzqujmw6ldnZLckMaIi6WaAFgnmso0VUr7dKgRvkuflIbHNkXG maoPb7pNIYW+/nh9vD1dX41PyZarVH1RECiCMeS0LEd64wQ2+WRZD4qHkjjtCV4VckJxy8LA Mgdg4EwY+op73Sux2TSeTZGkiVwF/t6EJbrGc6rguCGmgt66R4omB4TirdUHv1D87xAqMc4U fRjDGwPXdg7phTugotklptivIBW3eQExvnkxsFC3OQPoE7mJcYF6mmT0ibR13Gb3u/pOMerg TZDYsIo6kkSqGgM0V4+yYj4zvPYM8Cb3XdDEhtdONm1yquImT4R6IQ0yrIpULmc3Z3zax/Wd GEem5yiqBH3+ZELnUkbsGNXiGFhOyaa9/6uMKYaCMPRnx43xjtUmnhB+ZvTh96qa4uinxmf0 RTPCv8fbz6C9dqlpSw88d1lJO6YhGIZVGVqKmHVETy0LJ/ukN3s3CDv7W0UEJ0d2jaqKd0cN fYoaOQQ1dHVqGFl6EdDKXVcaQI7oW48Jpy02ON76DhmTdwAjtRzDxk9aoH/mwdwoUyOu9BCT k8Gdj0wRzLWFBU9HM1igjbDqCLNPlrZr6ROEWIDRbUokDga8UhvVidd6IXVrxNG7UDzC56Ru w6im02TJXIma3A38o3Z8wqGChYaIShwuPfmGdCSajdU5y91DCNJO3VzEy6PXN+BUt3iJEchp 4q5Veph7Dw7LCfjn6fHtenm+PN7erq9Pj++LzrswH14OFA5MhM0vsBiVe4cqESQn56+/nqNU asWpGWkthplxHO94apskVpcKo1em1LToR0DeE/cJFuVe/aSKi5J8XhqN1m3Lk+61OjdL+mSe Q4Ei2oNfppprR49MKkAwmNc+C2lD4aGGmmOqAHi+aWWh+4eOVMk9dKRGtkVSGU3Vl2QjItkG 9ghMK7KJd3tfuJYzs/YEBt9yZ3UPvjscOORIL0rHIz3EeHlGn1uROHi6CjTFC58nTBlg8pVq nX/ebePZNdTAQ4dr5VUqQ1edgdVrq4mmPW42Idp4Vlg8a7akwBJFhnfiUDPvNiUeudq0a67I 0jtZGD5nprHdH9hpunClNsQYFEFbRvUXer8JXniz27EhhdEERz5i7IlGd7uJY5Uf8XGNXdHG 64xOBONo77t48M2+JJ2cJma8NeKXRiM7nSisydYwuGfT0tZ4E4T7zdD3TJDslydgqedEIYks HcUQRsBMsZsEFmU/OCH6tlLAVL8eEdL2nROoLK4EoNtqUpC6WZQR34w4BtGKI0bORQqLTX++ iree45GbTYVJ8hCfMHX9NyF5U0SOIdCUxOWzwKZM9ycmUM2+PKEJ2KBd51OApUJgUxXgCNns 3CHRlCufYj/IEiZbz/B5N5/Mfw88fuDTCcw6K8psHhkRQuJRdlgq5pmw0HcjY/lCn9zdyDzS ZkuBGKlXOOQxc7ZRQNtNq7X6S80SGYZdt30kLY9UJtGzTcD68xPltT4JD0JT7gCGpKmzyFPZ 0HOkZJeV59p0saow9CIT4pPqs6w+BZFBfmAba1I9iDFqvSWzeKReVvfHE4KxaVzPMIUM29bZ XKvV/nNm0xNedQA96JshWklyKKKh+5Iif0p25RBDkqgHh/G5yQP90MjEWcdNtcQofBgRc3pb 8hS3GJyUynrYVRPZ9rvrD4ZX3bohaQYtssjuuiJSHmhZaoo1Xl/SmLr0EyDYaFs+uQwBKGSu QcNzMKAMbycetA22QYrpFIbN40dJ+MyhJarbIDKynfStpoqF5ADnmO2QaoHacWootfpWmVxz sTodYko++mApo28wJUzbMgqrZzU0qMah7pkkxKXljo/DIl7mS+lV4Np42pT0B1FTYkjZ7tp8 lUthLzIe6FQjnGAo46pp+7uwfckwCD4yENfgPMNN4JALZw6qa1UkygfoPOkskc/58L5wXzRZ iDCpEZCljvNts4nT3b3KJhV+KjhFht1RoUTBHvBlWh/40xBNVmSJdOHbB0X88nQedm23P7+L r3r27RaX+JQa0XQd3j3afWoPA4uxEvg+VwsbtIlVT62OMZIUkZJas7T+ML8hEKKp9Xg4FbEk YwA/rU2GDw95mu1O0oMnfSvtuHN4IcpoelgOsszb+vD05XJ1i6fXHz8X1++4XRYau0v54BbC 2J1o8tGQQMcezqCHxfOhDo7Tw3hvKgHdVrrMt3z2265FD2OeZpmVDH7kanJkdb/dpZnYVlSd BMESnvHQaqw2HLaXuVlBqXzaY4d1Ve0ME54v5/cLdj7vqW/nGxoFQtHOfzxfvuhFqC//++Py flvE3UFOdqyyOi+zLQilGIzVWHTOlD798+l2fl60B71K2ONlKe55kbLNWpmAL0nFaVzBmG1+ s4XHZRHsI2V3HUStXTgTf1sGdA5ao8IWr0E3ZtlyDLj2RaYfrYzVJCoiqoTxzLurdf/+xten 59vlDRr3/A6p4Qk2/n1b/G3FgcWL+PHfxBPzfkwm+cy45QK63K+YMgdMdGKAcDrI6070aJuQ tOzEKFcHQpdeGRewQzZ92Gijh4+DtlpLI2NSNZ0xg1oQUKKr7JQkuTaIe+M/seck4JQ0Oaup JZLO1h41HcADOuiJg/AY7JwQnQl+inUd1UNXVYOEzrQIpMFVr6GtDnmp67q8iwKjlJSTDROn yIEDjj/b5rtaXqyk0k1Az9GzNlZOLD45tuQxJAyr8+vj0/Pz+e1PwmKlm07bNuZX750J9o8v T1eYih6vGCPwfxbf366Pl/f3K4zEM+T08vRTuZfqyt8e4n1KmtP0eBoHrqPNNECOQtm7cATs KCLjlfYMWey7tqf1G6czIsWyqRzXECWil+zGcSx6KzUweA4ZmWGCC4fFWpGKg8OsOE+Ys1Sx PdTTcbV2gfVtIDpOTlQn0iS1YkFTVtpQbHbbh9OyXZ06bDKM/0s93MURT5uRUV04NHHsD9F2 h5jiIvu0ABGTUFoUlgxoFjvT5h0HfX40cbihWVIQ98UIfxIZxzIFhXqn9GTqi2Ub2pEuc0D2 qDOtEfV9/aO7xrJJb8ZejovQh5L7gf4ldElAOyiJuCYo/OQzkK9tZWRW4bWHyrNdPVUki+eU IzmwZLf3HrhnoUVfVg0MUUS6qwow0ZxIt+ck7FAdYS9mbjVQ5RHjW3dBpHGknKWBRIyPwA60 ZkmOzBs0nriiJQfO5XUmbWaSAPJxNmE0BVqndGRN3yDZEQ1yBHJEkj0xwpZE7keNNnYjJ4yo R6p6/C4MCYHdNCGziDYc20tow6cXUHD/urxcXm8LfK5Na8x9lfqu5dixXrwOUrWPlKWe/DSN /tqxPF6BBzQs3lYOJdD7zQ88tqHn9vnEOpuStF7cfrzCenjKYTD+UKBubfD0/niBZcHr5YoP IF6evwufqo0dOJbW26XHgoiYZunIQ30tW9hjVHnaD/9h5WIuStdQ55fL2xlSe4U5Sng2WBaU qs23uAEvtGmwzOOqopBN7okvMvblL4/M1iYLTtVmXqSKh+ETNSBTiLSBB1SHmjiQ7tEXdR3D 7sB8wxvHE4NHXWdNcEh0H6d/kHHgmpXl7uD5rlZNTtXUC6cSSmx38JUIndpnugrjVI9KzPMN wRIGhoCRMa1GWLlyHOn+bDsEZCGDgGqdMNQFcXeIyJaMfH1S3R1sJ9Ql8dD4PtMksWyj0rI0 Pc3J+godyUokrRGoLNLTfcRby6I/bG0yWP2IHyx9HuFkh1g4IGCTpvS9Aqgtx6oSR2u17W63 tewBUlP1yl1BP1zZMdRpnJQzy4b6d8/dEtVvvDs/pi7XBVjTtkB1s2Str/G9O28ZrzQy13kq NWvD7E4TksZLAqd0RI1Ma1yujAugUR65w3TuhTNNEt8Fjr7KSO+jQNe4SPW1wgI1tILTISnF 8kqF4qVaPZ/fvxnnihTvYbU2RmszXxMSNHRwfTE3Oe3xoYC5OXTd2L4vTXraF8KOHbG4e5hU SCk5piwMre5tu/qgHx9LnynnzvstPybueuzH++368vSfC57D8YWBdiTA+fGV1Up03BEx3J+H TL7UVfCQGWKDaXyBwRxeyy8gHWZktigUwzhKYBZ7gW8bi8xhg/W4wFc2uUVepkpMLZM9ZhRM FDQNc4yYFJBLwWzHWLVPrW0Z9kAi2zFhFjOYx0tsnmWRxq4Sk2tZRvEojwWk4VFHeTpbQNza 9Hjiuk1IbgolthhWb743I6sgW+Q1qsi2SixpWtIwNoM5H2ROTYciW+ZK9+xy+rAINYlTGNaN D5/qV1Fd7vs4UiZpWQMw2/t4RORtZDsfj+Ea5gbz3dnY445l1yu6uJ9KO7WhOV1DU3N8CdV1 pemMUHiiJny/LNLDcrF6u77e4JPxBoLbmb7fYKt/fvuy+OX9fINtytPt8vfFV4G1LwYe0jbt 0gojYZvQE33JdKUjHqzI+kkQbZ3Tt22C1bdFYeSXPDBa5IBPnBqGaePY8iCh6veId1iL/17A /AEbzNvb0/lZrql8aVQf6aA2/LS619YJSyk3DV6DvB+SYlG3YeiKln8T0RlmLyD9ozF2hlSK 5Mhc+jhsREVLDp5Z69hK/p8L6D0xdthEVHva29guI3qayY+SDVJhGU6jx88iav8mCAUlUwoR 51crdDQiFD/0dVYpmC4SD1ljHyP1+37Up7LxzwR1La/nCukfVf5YHx3d5z5FDAiifNo/CBdp 086zbGCWU3KEEaJVBZ8VjG1fTbtrPHklMkpmu/jlrw2fpoJlikk0OXjUasoCoqGAyLTqoyA6 1JTSj9xUTqaAbXhoUzLiKqXYHltfmdb7YePRj64Mg8Xx6CN8XqB8ia1fLj/koI6WejxAXC1X T6dDEvUMEb2WEdoglNsgXkWWKttZQqp4x9fkFRbxzFJNNpDq2qolR90WLHQsiqh3OapTeunG uyC1YVrFS/ydSSH3+wtRzyb9pGCc8FA7hOpY6lqNkfKk6ttOzQVDpnHbQJ7b69vt2yKGPejT 4/n117vr2+X8umincfVrwqeqtD0YSwaCyixLkd5d7dlMnTWRKFnfIXGZwGbQ1uS8WKet41j0 UkdgoM+bBAafOgDocOhHVZJwOFvKZBPvQ49pYtBRT9AyhvR7hoNbkErD1tVa3qT/H70WkbEq +7EW0kqWWc0gATw3eX7/r4+LIMpZgt4cWsPwVYQrL1Il4xoh7cX19fnPfqH4a1UUcgbSQfI0 5UHtYFYgZ0MORePIarJkMPUZThEWX69v3cpGzgtUtRMdH35X1PV2uWEeQYs0WqUOQ05ThB0d PlzZOXwkG3uzQ5XhjHt+hVSsm3BdaIlzsnGKjtslLFtV1QcqxPe9n1o5j8yzPJPA8x0Q0+QO lbijFHWzq/eNE2tjqkl2LaP9G/lnWZFt9Te4k+vLy/VV8LD9Jdt6FmP230VDL+IobVDGVkQH auhWCMp0K291tB0NT7+9Xp/fFze8avzX5fn6ffF6+bdpGKX7snw4rSTLO5M9CU98/Xb+/g0d i99/fP8OClysUbymnOEP6/gU16JFREfgtjPrai8bqiHY3OctPmC/o724U/lNxm5GAdp0DDjd qAnk7sDw7fxyWfzx4+tX6JRUPTdcQY+UKT7sMZUWaNxI+EEkCX/ndXkf19kJtqep9FUqOk3D /zy4H8ykhM0t5gs/q7wo6izRgWRXPUAesQbkZbzOlkUuf9I8NHRaCJBpISCmNbY1lmpXZ/l6 e8q2sAGnrPKHHCUzOWyAbJXVdZaeRItmZIY+lt6Lx8aJk7siX2/k8sIqJsNxV0nGXAC0ecGL 2ubbMXqP1LXfYKv77/MbEb4HWy6v672cYFUypdpAgUZc7UCto3f8VrFxFlJ7WGa1rHlEqiYH cZ0oWcVNXkDT0lbJvJeb1ghCY9qU7QlAe5Q2JS8kmZLauuT1CiCbtZoOhqBEU0r66gR72U65 nxWd4PaQgzQpaXZEo6vzxGHy6p04aHmq80OsEWQL6IGoGDgPZDrdXLrtA0KRhZYnPtyBEhHX MCZ3aBktR8BBQeeP5dI1quM0E6Mz/B9j19Lstq2k9/MrXHczuYtUiaRISVOVBURSEiy+TJA6 kjcsj+M4p+Jru+KTqsm/n26ADzwaPNkcW/01nmwAjUd3zyS34oqs11EvZIRXOo91j8A0AJ+J S67epKaUd48htWuAxDOGHePpUKSZ7ytLNk9vIEZ/BBFZpYkIx55XPtmNjt6EGDdnB/g9ROZ2 eKIG9B4ARxr3D7S8hsmWU9tcQK+P1pwwo+x0t8pG0sDSNKcsaybccjiAdarrrK49g/zW7ZPQ 7sSu5Vnun5pYe6Uza0o7J5D/kle+Hh+9uWhj6liCEHTb2JpYp5CUBnG00DcXjxzGVFWX5lqO G5FQv7FZaPIJ+dmarSfMHmv2pRmSBO6+d7aUlLuAVuJIXUQuZccPH//48vz59xfYFOE4GS1G CJUL0CEtmMCQdjeeUr07jxaDcan5gl+7LIyNz7ZgDRmWe8HdCLgTQjhxWkAZYHA1Y2no9VTk GZW3YBfWMgqxbcq0Imf/ehS03yd+aEdCbszdBZP28xuyhhI6kEizj03PNws2WQqu9pntGkDL +gZN3xX0SdnCdsySYLNeBqgx97SqyPqPlgGjnL8izdq2AB3ka5J5ycrZIif99vXHty+gzz3/ +P7lw7Qp0YaEtn+A/4paH5xql7NOhn+LvqzEL/sNjbf1k/gljLXB3bIS1tIT+tgdmejN2nrV tcFcn2syB2fTNdVQ1H2lB4PAnwPa7DieQA0E/XrDZMCpIS2MDKtM+hlvTVKTliYhK1lenWF2 d6HLU5Y3Jknk75xZCOkteypBezOJMPyhtlDx+nQqamZV7i0InUsZeNX0nWlmJlT70dO+SSz5 HT5gLYTTRi9xaIoeWkuAU2ctHY9d0EoyOeZk73kNswy2ySYTFsCBkU6JZC3aOh1Owq7DLW+P tcglfPKXsbDxqqMv/mSNPTqkzKKEcWxLjDJ5gsHiSEKPVkYtISA4+Dzc7ofBFCg7Q34DbYXG fCkciUAINAo3Tdn0200w9Ky1iqibIhqMPa1OxQxN5HZ3uVl62A3SOsjqOtuYScmaaOxPLHvM 81FYUdfWKFxaaORSdg27+WUQdHdWDH2QxJ7g6ks/+aqC7ZRhJFAHz4lOWMApXMgS+UQ13qk1 y4I96dVFNV5Y2vtI3dJ3Qgrl8daIoYZEwS+NJROs4/zeUDR5fFE6xfb7PXlZPYG6ajLRIpv2 FFqE910U6Y6UkHjs1PWiUb4kDvUNo3jUqX+Ip2wTbKiDBQmWXH0EXdrvD9jbjXJtZKUQX1Zi G+6tfgZacndqrqiweXoaMkFG+EWm7n6yKpaxtmCh8/3PMqCWJ5uCPcY0TkZbkyiz2dqZq/Se yKY4QurKE4JKrkhkPGVA8vRSGzGlKvSflvFzTdFMJXChZ2+9RU8Jqd23noHzcWAWDTZX35gf 0btZy7wSQbTbUERLIHIRHKK9S0tImlr+7RqeSto3ilyhMzmdqpuib1//+wVvaj5/esFT9A+/ /gqbtOcvLz8/f33z2/Of/8FzRXWVg8lGdU6LeTLm54x80HeCHfkCbEZt4ZK+8fb3DU21NK1r 3Z6DMAgdWawLnzwV92SbbHNrcQFlTsDeOaKpdO+CFsU8fhUQrsrQtJAz0Ca9X8gYmqgU8qbj ma0plnkUOqRDQpBii0/UFU9v/Gg3ejzosNdItreD6y1kNcH71CA8kqiFNTBv9zB0PtCjPFkB DKQgXrKfpUWQ4R1WChdTIkDuFeZU/2UlAS1aWqQPgr/Pfwk3273RLfa6pkIS2LVvYMnInY/f ZNIqOCXjuck+T+2PkKql3gxJOyLTEeHKrgLZpp0BlXXjaAiSXqKG4Vs6NA4jUKcGtTd0oJTs Qxlew8OTVzV39gAmKpN7h4Py0E8HR5BLeFrKwDs8FMPThYuucNTtXPBzJe+lgMlRFBcUOtaR O/EtHY2HcY47/fnp04+PH2D/mjb9/GZyvPVcWEdHD0SS/zGnRiG3JwXoUi0hFIgIZqvqI1C+ c5oy59ZnMAOtfFiZsfBkLJqM2zuTEcpVbchCYc924tQBrJEB3VBe3mWle8Nme7XrjSUAPv2F J2GwGT+wk/2ZJMqEvKJaNKFWsDKCq2EtzCQgonVvb7VGDtmhg+5FyUW9iRuQaBgevJazXFth 1EBGdaHy9i+6oYOdFmz87G0c+nTp6hI66sTD2W+E03aabfDElFlJ4Zt2xopeQSW80u8LbE46 gp/JxZp/wnU9/hOuc+HfCCxcafVP8kpP/4irLAb/DGjyFaszNgb1HH0IY5Qgn5yME7anGBnr 8dTyvMqKB2hM1XmoWJmTsU/HhGV3hc1UehOZW6SoT7pQOoUibskXyWNHnyCZ6pVlVzLI0xo8 +XGUnolDdYJW4xUH9lH4BpcmZRWvX0msOqEnU9lVGYPekTPaiElFA98kwMd2Tpk0vmlKd3rs 3p2aM1760odg7+9Dl/l0OikvIcjcrDCNuhm6dHFeGhiKDnGwIzHQnIa+4wWlxQAW7DaBD7l7 kWQFMW+yHNTRAyd09OZAIUGw9yPD5YnUhSaYNiSf2a7bYLMlcgc6Wep1u41pehzT+SRBRNO3 jqKukDja+7cyI0sc0490Z5YijZOQfis98RyzcP8qTzeIlHLHMyvJpqfsmTyGZPKIZSqiuLB3 WAtAdJgCiB5WQEx1pYJ8Z0yKYxsWW7IeANjHcxpAS7kCvdkldCUB2lGmZzoH3fJtqJu+6HT7 1GOme5q0W2nRzjNqEbvficEwAt4coyByTssmaOs7QpkZDnRS9JnkPzGWPPdwswvXlPiM7ULT xG5G6FBWE5yLXUB9IqCHW6LLc7GPgoSm26esC91+cGGhvigP87a3K5ONJ+r8rKxU9dBeo83q qJkdsw+C+MDo52a/2ROtkEgU7xjVCAnGHs89BlNCXRwbHIdw5yt9R37eCXtltZjZRPbkK+BA iraquO80WHKIcn8IEoxhMXomJUrQeEafpC4TbLmDxD7xnoDd/uAF6PEqwcPdC6ymoicOBC1v wRb0yneYuHy5R4ZdtAV4KyxBb5bQp8yP+DOVqC/XOAiJk6AR8A33CX5tvMM4jsiQKjNDAcs/ ISgtmnmTKyog0WaP4r9echcn5KNRnYEuGQ+/fHS6k0eMHJJtZ9i6GWRvioCsGJDHFERzd0Fs d4q9Czp3aINOVEbwc8nU/YAHods9o21+LikdTD0hGxj8nXxQu/s73p7GPY/jONJm9e14hChD y1aJ4Ego9X4E6PExgXTrRbmNE2KaFx2LQmK6QnpMzs2i44NgK+8igKdjIozJoG4GR0K0EYFd 4tzgzRBpvqlx2AHGdGgXrKkzksO+ZBwB2H3QVUIHm4HvpltynNhhvyOWEc0/5SpIf1CdQdDn XDNLRFvlunzhnW6kzvDKWmPykoK6sJBr2ghn6T3wuNqaOUXEwnBHPVhcWJR2TRaEWLxdSS3d hFKKqoycFRGbiSWkllPcU7mPPd5AdBYyEojBQNUH6HtytKLz0mBdi0WW1YVPOkAlZnlJJ+YU pFNqPNLpOUUirzR8t/Mm3a0fACDLfm0yAob9hhR9hbwi8yMTKewYDG5DDHBJ9xV5WFV9JQMx cyJ9581y98oXht0EkaVgoydIJ8/3RYQBYFYyfS+PBw+JYfmoa/i7mJgWZagbQnjsEDgaPaHU 1wptbrekyFSrj35mDqraCiBGYNewBJQ9ZribMk8ijSRK2UhZm83njWY9Fwbv4yRUQ84tay6S zc7hTsZ10q551a02z9xXuxfTBzf8HI7yfPcBq3+bV+fuQmQNbC0zNL4ec6dGJuY4Xiu7953f P31Ec2BM6xziYkK27XL9YkHS0ra/E6ThdLKojbITMKrCeryMp5s0HPPiql+dIQ3NIduHnU16 4fDr4W1xWvd0eLaLdF2esqJ4mOU0bZ3xa/4QVvHS+45T/EPev3vyh29zrquWC6P1CxV6ypMy L4XqRqM0DDNiBrU34fdQbU+G57w88tYRsfOppU76JVTULa97qxtu/MYK/VEoEqFYGd7Joj5y k/DEik5/gqnyy5/kexSTfH60DMMv2PXl6JPfU2HeWeW9ZcfW+WLdE68uphGngV/zSnAYbTX1 Wg8ZilQ+zrTzLXJq0lBIVd9qs2pFfebuiJqo+EN3ajjTTZFActuXxyJvWBbSwoQ858N2QyR9 uuR5IaxkRpukhVYJMuDr8hK+aFtbA7Vkj1PBhNW2Nldyb/dbyfEgvj7RD6ckR4134F7JLvui 45P4GQkrMu49InXb5Vdr2LOqgxkGhF67zNSIzqzW5B0rHpU1AzYwHRVpRhINq2mdTljz6TCI lrDb1hQMo7fAwKF3hWom47Dke7pAMO70gWCl6KuzXZYMdFHwir4glxxdzvzzEqAgaLDwkJfJ kqOvmsKeatrSmmbOGDyOCXMWnolrgixK1nZv6wcW4mXq+I26RpJQ3Qgr2IckX2Cm8M2f3aXt RTdbAswJdbp/AehxXR8aEVlTKOdlbc9zd16V1vzyPm9rs0cniiPH7x8ZLNvuwBQwEdbtcOkp n+VyBS8aoWtelBKhPJ2AJk/qPHiRPOk9YyY2r8rg68unL2+4uFjZzPVVl/fAMDjaz5QvncX8 ZFAvctKkxHGoLykf0Moe9EJl/b90HuJErC0kw4jF15RnUtaQoS8aPhw9wogM8N9KGrERnY84 a3GZYGK4pJlVuieFeq0uew2ZsKl2ICKkN7///eP5I3zG4sPftNeOqm5khvc057SZBKJYdydC 5DII2OVW25Wdv8ZKPaxCWHbO6ZWjezRroeHQnE052SB5StIBVwlqWceludXCOdJcg6DRz+1/ vv35t3h5/vgH1Zdz6r4SGMYIlMm+pB9IlQI00+HotVgAjdEBnSpcvv14QWu8ySlL5gbKGSvU 8VMJeS7iPiNv5ZJdDdH+TqBtfND2cGipMC5fk+YBv5QZrqGPzNRB6g6UJrOwyCUf1sa6tfI9 triKVmgrd3mCvQFGYMsmqUcNzdncyGSsijZhfGBWbqzpbcpTaDhEU4XiW1TTZ8BCj6kjANUU 81mCorWbDbqm2jqZ5UUQh5uIttaRHOjUWTeSWYihk5t09UydzszoQT+gllQVMtciYsBbqoCR 7pvBJI9toqvKbqLDljofnFH98cJIjA0HxBMxlhGOy1LXT2dM9xa1ECOiPnGc+Huq2cemT9mJ bN2k2oKe3zDaCqefCS49GNP+12aGhAwDLmFl/Y13Cl1vDz/bUn0kpkG4FRv9TEoVpEcJlpQ5 Bqkr81lIB6aW6PRcdRtuHEHtovjgdv9oqe7LcAlUrVO7lGF4WptapPEhcATFjTI+D5z4/2ze vDqFwVEPoabaJaLgVETB4e40YITCu+uPbZmP5FPn//3y/PWPn4J/y9WvPR/fjDvKv77+ChyE cvXmp0UH/bc1ox1RXS+d2ogHOvLx9mZxT5sisxtd3OF7W0R8LOrkDpuR3f7olUh053586Mqr +i6gYJW9Z6TiTGR/SCQaYUdUNmPAY3227/58/vzZne5RMzsre1KzASMw+G2VDbYaFppLTasf BmPGBeUjxOC55LBFOeass9s14qRLG4MjbfrXCmEpbHJ49/DmsTZfz61RBqmD/Fqyr5+/v6Cb yh9vXlSHL2JbfXpRUS3RE9xvz5/f/ITf5eUDWpbZMjv3fssqwZUhkqelMmzu6/0O23dO64AG W5V3WU551bMyw9NYW0LnnsWT4QVDvzRC8CMvuO4ViAXBA5QUmPilt4XJGcN0Bvvhj7++Y0dJ Xwk/vn/69PF37S1tk7Nrr1+iKwIM6qq7QIlVJ5gXbeqiqL1onzVd60OPhpW/AWV52hXXFTS/ dz60WEmJ50FerLnWlvGdgXf3hox/atVttK3Xd69U989bVfhb8SPTXUMsNPV4vmQroJKIlcR5 SYLSXVWJ/2vYWfl6c5lYlo3j5hV4UOCJ5iu7S8r8yOwRTNt3zxzvOO3UWGNJ7+cjpdrBCrMl OxiA+LWer9M2K+lK35RbwuY2clB1Olb3biCjpWtMlxM3lDz8PZoUCHTrULdZThpvIqj8SRjT gJY1Vu1mSDNShvZOVUlCgj+ROfGm1v0p2MiQ0vKlwLUvq3GAkthRhrQat2gbshygd3QFhG7D YAF0krZraQFGALRre/GwOSDjm2eB1yWrgY9nLSAjVw7KsrR/4ukg0rbX+l1CjnvLtktNdxdI AO11m+yDve0wADG50SVrCDKgPMcIR6ME6Nif3NDZMOWl6A7T9IfzJOn0EcmYk9tyBQxlfcsX p6B63RAVeXHCML5k/GLFAupOI4ikko56apdbB8pTZG2zjfPK2t9By2oKpt/mZdvtznyigcZ1 TKSce53vXboguUbUuwjQJtAaSx4qwHQtBDtruqxCpYfTCfvXv5ZsIVkrj/oL9OJDlqyzUDq6 hlv3KyOiHU3qukiPL+fMd3FIarL2hhfCvH1HnRgCR4aRqBWHmRvTDSaQAAMqrfWzalkA+pJT F84mAPrW3WJte31tRFJ5MgK6QR1g89DI0x9WQe8a2w+0NF+JmY2w3iPqN27nejsXVW9vHkNj rNMj8YhW5eYJ+ohIRwHk157qUHLaxe8ta2gN93apMbok1N096UOrsx/ffnt5c/n7+6c/f769 +fzXpx8v1In55dHAJEiOsNdyMe5eHtYJ7zS5dJayAtu7XL82Vr9tH6MzVe0w5FzC3+fD9WhY 6xNssI3XOTfasFLMJRfpioiMXFww19vQiDVpsTPDA2pASCk2Op54EkbU4caC7/UgLTo5ocl7 glxGO/Ml5Yjgs1voE16Hmw223F8RxdmkYZQgo1PGjCfRiNtlgbDvybNLHXebCospSRVBUgYU fbMnKyhTENUC+mq1MN1eP6xa6MmWqlkX7jdExYAceMhbmhzT5B3VCABC+qRw4ijLKGTUrmhk OBUxIWgM53peB+HgihVinLf1QEgiR6nj4eaaOlCa3NEspHaAskmNCX8qJnsXhEei0RVg3cDC gIyfajK5pUmgJKoxAUGS0YUW7Nik9mhxBzYoaa8wZIx0hLMwUNUDck91Hl6IvIuIGos4pJ6k zdlx73S3D+N4MFxczZ8E/jyhoXlWn6lpBXGGWQebiI6V43LGa6NQ5yPETYcTcqJbGBLyWbbD F1rxV12G8J9VOApCd/bQ4JiYLTT4bj6jnhkK/DJJuKFNbE223d0Tsc5kgyVlZQ0bmQ4BuQIu KHXdNTPdkCnYBVSPjJjppMxBaVNgh4020bPZPFc0Jhuuj6ts+iJKq47EIkqOK20RXcN5SM2T Mxi5vZviC6p0ag29DMLCuVr7rIuscFgT8MBo5NCfm7WhdQbt69IQGiDo+Xe3OTxt1KRGrLzv jjVrMzPcwAi+baeus2t5xfPWHh+SrX3MVD6TkIu7vykzE1HMiGUrupRiKVV6GspcBabM7SCj M4BdstYoWLSSOKRjW+os99VZAlmSzcoXRoadHofKXjMpma7kGpTRCzH2BYG0XRYTk6pIQndp KI1HoUvWsPWCFZhaXlPu3wHA95GK5JBS314NonRld1FJ8R3Qsi91cx9RnEq2Hlx1JFl6hY2t V4t/1zP5ihRKaagCYMV3RyKqAbRuQOr5V/VvwalnSO5ESKvw7nQgmHHIa/WI5wtT5Lbux4gp 2nFbQVe37UB72hgPO25dksSUHaFyc29Z2qhNsIrb6mzW2ddf//z2/OtySsfExbwE0K9D4cd4 KiaPyH7Rbi6mjNyC5URJVHYKIGDfWp3FgJ5h8BDLOC2qOBQtGvIdPQZIONlRLoAysHMZhMn2 Opw8ARqQ6ZglSbTVL3NH4HLfR9vNsSIyltCOapfGEEcZmWe8y4gsQV4PQUId+mkMkT7pGPSY pm89/NuApG/3PnpCVLlJs31MvpQZGVq23+9iIqVIsk3IaPu0hSUIyIBoE0PewNggc78EtNPc CRdZEOom/ho92rg9qegJTY/cHpP0mKB3u10UtyR9f7g5dJglHsaZ6kQvxD40rchGpE+DxBc9 aMR3G7difZNBut3GHQNP8sa57ozR1fCteTqtYpJ9+PHHpxct/pc1E5yZuOad8tf/VLf6xevI wZr8Pi58+uRiZbzU486Lgd25kBGiqEbzvMiOvTBd0F9KfG2Hh4bCdHyJsRRGRKqrbV0U/1/Z kzS3jfT6V1xz+l5VZiZWbMc+5MBNEiNubpKSnAtLsTWOKrbkkuVvkvfrH9AL2QuayTvMxALA ZrMXNIDGYgVZwKMVK6dpkVCGjAWcJ5aEJEEd5vsnV7si8KUpUHhfOSaFh7OJxN9mM/rFK49j /sqsclNXedrN0zr9cEWGYOfTGFMgXkzOOalxqCkXLUmwvPKUYF5fXw3p+4iLJbXscnHhpR0W 6hCp0kqXseYMDtu+SVNU4biyhlO7akq6AkdPU9WNb956miYk/XRlaifj1TLbEx1VqrCsymvd HC3BVrC3AmfVWFuwVpvSeWwR8niO0VpSfWaqORzf+u7pX4wPhgFzMcswcoHcyK5f+fffxV38 5/r1ZY+6q80KChzR1mHFw5Rm5H23RmMXDMyTLAuKck3moBQuZt28bLCqBO3dLEhI76Q5psmP dG8S+AEDBx0tDY8ZRYiJgEGaMTWDHCQss5EeNpTS0cVdhRQehGTkp0kFJ/mlpw22uH7vMZ0o kjq9NCQHC3XpRZ3bJjENRwoQJsnH92TDURwlH99feXE3k0saVwueXJHYPm8TiTU8UTX4MqLf FcYfz68dC5rCTtM1bETvBRzvzizvollL4ucrYAsF6XEfPR3uv5/Vh7fjPVF+kXsXdqUWhiMg PDulsYaTJUiA16IgldID8CcOk7nawyy2KQFas6gzzcjcdT+apxVw7ebqItSPerLX/YNBmoWl pt33Z0Y+Ny5Rq4g+K4MMZJmgy8OSNjPIF3ToN0B7ZsDMtcqzwhlytn0+nLYvx8M9FWbBEoya wsIv5I0n8bBo9OX59dGdQHVKDM0jgLNrSovkSF7Da4ZeucMQ2hgE2Nj+6nrorNGpXozD6kar lA3uhIe3/cNqd9xqNV4HwUJRu1nUHQrsX98oDOB/6p+vp+3zWbk/i77tXv4HPeXud//s7rVg EqHgPj8dHgGMGZ31OVFqK4EWz6Hr3YP3MRcrCsYdD5uH+8Oz7zkSzwmKdfX3kGf69nBMb32N /IpUeMP+la99DTg4jrx92zxB17x9J/HDTEVd04d2rXdPu/0Pq6FBZMe8sMuo1dcT9UTvFPlb 8z3IiChAThkv9SMcksTPs9kBCPcHvTMSBWLkUiVeKAvh6TjsAZ2oShjPeVvoNbMMAgzLNuvp 6Gj0sqyrwPt0UNfpMrF7HrvMZPhMUWqJ5FbJuolIL54cWJGZxiD1HEBFQ3tULkG8pr0ujPMR frhSHAKdQDUDKzLvz0H1jTwVD5FqkLA1IOZ6nzZWF3hAzwe7D1mFJcQ86Z8HAnnGeKl4DMw1 ZY/jX9/kVT+h6OZ0D+uXiEJlt3gi6l0M4ENS+qxw2umbqbDsmqHUcvtb1/C7cD1diqgglVZl ZKRHZEkNOjqt/QpcyKK8bkL8FZHJMwSZzGi+spvGLGI8AkQNSjW/O6vfvr7yHT6MiKo+AWhN 3xuAIEZUaRcL9GAmxMBXEJiwUWrCwijvFmURIOHES4XNY5IH2OYdKIDM2mAEld0PHVenCfNE ChhkQbakNyFS4bpO8/V1fusJrxVDssYU69rAaMhqHXST6yLv5rXuDGegcFTsz8iDqpqXRdLl cX51Rd44I1kZJVmJRjlQF2uzebEUuBxbguxlv2BAJ1bIa7/gzTXSt43M1ghgFE2xoMo6WXrR QRhcL85Q+vhMFxXPI00nzaPQvDxCQMbN/mIVb4//HI7Pmz3Irc+H/e50OFJZ2cfItI0WUJwV Jkezz+EvpVV3KybumPR9cNEt2iJtHGHWY/gvYlam2rEnAV2YwonIgFEYpgwTO6W6azUgzTqf /vi6w6icd9/+lX/8d/8g/vrD1zy+vPfnJddHf/0gn8/SsFjGaW5o+GGGAdJL7j5J9Bcd8TMj rDpsqGWBNQOMOxLxps5M1xMHa53CegCdWp1zUYLR3lbHgVsQZr46Ox0397v9o3t+1I1ZUKPJ he2nC4M6JXOY9RTQj66xH/YWMQQciOUs0kOHXBwRSCZrG8xdiH1b3sO9ZRd6CjohVY+umznZ cF5TUWpDf/Qr/x46hCeofA3ufGj2+GpG3b9P9do38EOU0YNFWZSxsYERJ/Nz2PFwFA2dIUMj CHgCFfPddaTbUjkkTNCUbnekjKgl1CS9YAN/UjqDDu75JnpUgKS95rKFcBl+ezrtXp62P+hc D3m77oJ49vFmQh+iEl+fX5DmK0TbYd4Ic40uyveY6I6mXpSVIaaJi0nQkeuSefyQU91mgb9Q QlN9UuAszc0qXAAQennUsMxexgz+LuhjS7qYGHMIO/O2DeLYk41isMg0EVaIr5rWY/XOSw8H Fgr+oI7h/E13GMPGz2xd6YqCaJ50K8xn1AekDYpFkKVx0CSw7rDAUU3aeAGXlkYyX1B1Jla5 XQnq1kHTUI0A/oP7yAf+4rJOYU1FlHSraOokapkRUQWYi043cUvA0JyL8rTihEJx6HCeU8vs cxhr3rP4y/Zsh/flIR99XSjHECfAmCPRg4HYk+ujJ+GljtNiSjMp7QXuVPRUnzkB8VVrp2sI UTWYl7STHZLctiUZJramJwTBZg4dhJRFhnXveHiV902rgNGp3BDpV3RBbpvQ34yloe3VrGBd OYkoVt/jMdkC8aQInYPDYJGVdH90OrJbYeOuEwUb3TI9EV9MnH/NmBUB3tOwtgBVCBb6nbvS LWr/2Ap8UGP03liHWDLF2EjjlqhIs3741caZOB/OQTjWnaeMt3zGy344XgyI+yoeUiIUE8MD RzUayZqLVnZChc6+eASGHk/6bEjsl7ox/VMwLwd1U+xjbbg1bcYqYCI7EByh1PrC4EB+q2AE 7aAxDu+Q72y83j9QoNldhWPlEZT4LDeURDutiRBCASJlRI5RuSdUG4F91ci5j/UTY864iZ0f 4FNhBRw0YSz1LgmRo8BHEu8XeIuvC2DDEo2v305zYI/nNmBiPRU1hmgRtE05rS98a1qgvSu+ xWyiNA4LXWfBnYUWUt7m/pvuLjKtrSNKAlzOphBYe7OcsYDS6hSNcxQKcBniHgN9sdZUFY7C 1VZTMCdebMD0HTGutMT3iW+N/2Rl/ne8jLlw5MhGIETeXF29NzjC5zJLzVqvX4CM5NBtPFVs Sr2cfqEwL5f139Og+TtZ4/+Lhu7SlLM4Q3iu4Un6iFj21NrTKkQOsyJXGJN68eEjhU9LvL2q 4Vv/2L0erq8vb/4812wCOmnbTClRn3+JJYJ53vB2+uf6j57lN4q/6wBrnjmMrfTRHR1BYRZ6 3b49HM7+oUaWy02WaRxBC9tXSEcuc9OwpQGliQV198oiQItrk1lAnAtMbJo2eg4zjgJdIItZ UthPYMZFTPpnZ3RaJKzQx0/ZNpSmmFfmd3IALTNYNH6RUeBTVJxJT/l5OwN+G+r9kCD+5doJ k6APU8SSQPfT7pMbztJZUDRpZD0l/hnkAmXgcydc17NqEQMvvGhpVgmnBHrH+egUlV6qEH6o NW7sHQ2tNl93oWfuNzAip//QDwP38ZLurE50TYbBWSQT7zuuSadmi8TfRbpulEVyPvI4FQln kXwYeZxagxbJpWfkr6+uvJgbD+bmw5W3MzeXtJ+d1cAvP/jmwvf2a91dGjFwJOGq6669nTqf /E6vgIpyX0UanjOBfus5DZ7QYGcWFcI3hQp/Sbd3RYOdpaoQN95h6L+HjjEzSH7V2XOrt4sy ve4YAWvtfuZB1IHUEFBXxwofJZj+0mxNwEG4bVlJtRmxMmjS8WbvWJplaUQ9PguSjLRl9wQg AS+oJ+FUzECNGHk0Ldq0cb+Gj4KRcFdhmpYtUj3/BSJQLDH0iIy+Nm6LFBc8pV+U3epWP08M G5rwf9nevx13p59uihXzBgJ/gYJ724IW3SmRepA0ElaDtAqzhYSge8w8SXIxUXTC0+tTx5BU vCSB8fIunoOil4gc+sbpj0iuMKWRQFJGU2kYwwQgNb87blgamfcUkoTst0J69BHOa5ogxPu/ uswCW3VUAgM6a3IP2CIRObKisrrrMNVGFBhik0M0ggJRNsvQ+VaTk0E9Rr1S3J8YXwmiFggf +GwOa2aeZBVpE1Uy7jBwerH2rM4//YG+dQ+Hf/fvfm6eN++eDpuHl93+3evmny20s3t4t9uf to+4tN59ffnnD7HaFtvjfvt09m1zfNju8apjWHVaYt+z3X532m2edv+7Qaym0KDFEuvIL2DG C+NCNsXsfWIozXR+mqFb0ExhX2sktNGe7odC+z+jdzOyt1VvGSyZMFsYzsuw6Et1fxEdf76c Dmf3h+P27HA8+7Z9etkehzEQxPCls0CvFGSAJy480TO5aUCXtF5EaTVPmBfhPjI3c/cMQJeU GSlUehhJ2EuhTse9PQl8nV9UlUu90EtSqBbQGuaSDil6SLj7gGnTMakxfSbnFtwm6VDNpueT 67zNHETRZjTQfX3F/3XA/B9iJbTNHJivvl0kxr4kt5ZEmruNzbIW72yRs2AshoNPilla9Jd9 1dvXp939n9+3P8/u+cp/PG5evv10FjwzcqAIWOyuuiSKCBhJyGKiyTp3xxJY4DKZXF6e34yg 5KcKf4i307ft/rS735y2D2fJnn8YsIGzf3enb2fB6+vhfsdR8ea0cb400vPaqTElYNEcjuFg 8r4qszsz0Kzf37O0PtdLG1sI+KMu0q6uE4INJLfpkhi1eQCMdKm+NOQe1s+HB93mpvoXulMR TUMX1rgbJSK2RRK5z2ZsRSzackrfr/R7I6TDXDh2TbwaZIwVC1xmUcy1wbdfMyD5CPvfqBEG yzXB1LBKQ9O6KwBt9v1UzDev33wzkQfuVMwp4FpMmv0pS6B1TK3x7nH7enJfxqIPE2LmOVg4 QNBIGopJoCheuF6Tp06YBYvESq+jY2gBziTxFD0betWcv7fKsto42Wt/KzOy996t3C8QDG67 unDweUzB3HbyFDYw9+qjppnlGMnq7zTi9Sp5A3hy6fJ5ABsBxoqxzINz4t0Ihn1SJ1TM8kAD LxJUdBOX55Pfa4TqlkgYRbQ61lr+wW0KL09CK5OQPE5n7PxmhBWsKroTfLl0fE1hzL8T4yAk x93LN8M9vmf3NdEkQDuynJSGV68it1O5wmBJfwOKQkYoEVtV4j1rGnNig/buntEK8asH5fEG PPX3KSd+UlR81Zc4Gx+wtE1TJ9C6MsJfgPLK84qr32rBcJkdYB+6JE6Gz7Pbn/J/R1Z6kNUB sZ+VGEJ1WaJ+2WOQlSuR4ZaE8/PTNzGKZmSaNZKJfwDqfKSHzaqcpgTHlnDfGldoT8dMdPdh FdxRTENS0XMvtv7h+eW4fX011OV+6qeZcRmhZKcvJfGy6wtPgjP1kCcTVY+ej8hW0hlAhKJt 9g+H57Pi7fnr9ng22+63R0vdV4yoqNMuqijNMWbhTCU9JTCkiCMw1OnLMZQ0iggH+DnFXAYJ hjbo9hlN/esCO8raQPFOjA1mT6g0b//A9qSsoI4dHQ2MZFn9RkvSZOBtKim4CluG6LfbeMLa 1YEYkE5mShLFsw1dviwTyNPu63Fz/Hl2PLyddntCrs3SUB5uBJxF7n5DhBLynES+Lg2JE0xt 9HFB4srx4hJwmQgiv1ZposdfNd4KdRQgvJcnGeaY/XR+PtpVr1hqNDXWzRE1aRiwQZX1rxWk 9khwc0oV5C76QWwHNbtEIkosnVBy8YBPSN9lhwx7+P4i8DQVRSP7Dwlug8bz6C36H8yvby5/ /KojSBnJbIse7NXEj1QvWU79z2PrY3ho34OO5klWG+msBpwWH+wisaTcOkroO35jiEEE/8VM 5VgyNupma0q8tShc70BJHtR3eZ7gbQK/iMAafcNXaciqDTNJU7ehSba+fH/TRQmTdxiJdFUe CKpFVF+jT9cSsdgGRfFRpWn3YNGUhw/rX1unM7xLqBLhD8e9F+U9iitjbI8njJLdnLavvL7T 6+5xvzm9Hbdn99+29993+0c9QT/P7KVd+DDDEc/F15hd3sQm64YF+sg4zzsUPLv2p4v3N1c9 ZQJ/xAG7+2VngOtjCpO6+Q0KfmZxRy+eE185SP3GEIlaTt6jjQVpfNVVt/osKVgXJkUEQg0j ay+lRRIwoC1mpr6HUZy0/1+YgqaKeQG1gVVBkaDEFhHeLrEyt4zZOkmWFB5skTR9UXoLNU2L GP7HYBxD/aI0KllsGiaw4G/SFW0e0knOxX2gHnLaB3VGqe3Wr1AWmJ916G0Y5dU6ms+4VyhL phYFeu9MUQmUMSep/tF9G7DjQWAtyqa/qOz5SgRcKW0MJScycv8CRW9Z0mBp03bmU1YmX24m oyPaTBLgQEl458mwq5P4ZHxOErBV0NDMFfFiRvWHPJqfKZ9FelG0NHStiJFmx7aNf7Do4zLX RmFAfUGJAYRLUwX6IoQjCwoaUe8MbULjxIWjMkOQczBFv/6CYPu3eUUiYTwWtXJp00BXIiUw YDkFa+awaxwE5jx02w2jzw7MHMbhg7rZl7QiESEgJiQm+6LnutQQ6y8e+pKES/3R2s/EBXpo +i9zH+llkFluzUFdl1EKOxXk3IAxo9JKwKOC9EBLAeKRIgb/QLiRy5MXUKp0j7oETp1aIIBh zvS4RY5DBLTJFSXbaxBxotwVKP4Gu+S1mLBOiPGyepWWTWZYwJEw8mR0481XqVfAqWeZGGBt L/I4AxQdAgzt0hBV2zFjbOJbjTUXGbpfahuLtZ3lnR1lX9CRQps5dovKg9ZKXqVG3aE4zY3f GOnL8IKrYcZ8whyrBbOM69JdRrOkwbRF5TQOiCQB+AxPa9TpXH1aonXKro3Eodc/dObOQejx DhwqifRScBh5XmbWpOOawrjgzrjkBwB+mW5n6qlbEf3WTbO2nluj2hNxfxG92Kfyv40WqyAz cyhGizipSr2nsPiMyUUnmmKm89xeEHLkG9P9QwmLHPpy3O1P38828OTD8/b10XVF4tEMCz76 lnCA4CjA1BJk7CKPKcbsbhmIOVnvT/DRS3Hbonf8xTDgQqB2WrgYesELJMmuxEkWUIEemFEc K2tZTuAGWOUYGGTzuzwsUWlIGAM66sQVD8J/oiRbok+Bd1h7g+HuafvnafcsZdNXTnov4Ed3 EsS7pJnGgcGWi9soMSxGGlZx8ISuIaFR1iBZ0UKMRhSvAjalhZRZHGKEXVp5gr2k2Spv0Zxv hyOqzYpJRXnczKfr85uJ7j4FDcOxgfH2HodrlgQxfwNQkQRzIABhFj4ENllGXRHKOnwiXAvd vHMsTaHtOwvDe4rRhRrbEp9QlamM3tX3tQqLteK9ZLBeiSH3qyRYoFefXYJ10HR+d/2IZK5o 3d3dKwYQb7++PT6i41S6fz0d3563+5NesT1ArRtULr1KlwbsvbfEXH56/+OcohJJaegWZMKa Gh0aMf3SoHqqkEViZGp+EK66sVnDSI+0FnQ5xk6PtIM+bD43Qc6YF7CY9efxN2WD6M+AsA5k vCNWjgoyw7LBsePvi+qg0HnIb82bOQAYvKHf8MtQ0bTuk5tI57q+MY3PI68FlT4p7FhE0Qri uSzi98IsVwV5FnAkbIe6LAzF3oTDlMhwUVOBNmi+JIwOiBSdZCWWlPQ5TvVzJYhXa3ukdEiv yzZWFA7/7RwYEizTuIx0UcSp0RR11qrSmKQTK8er4Dl9BcnpBxklA+bhTp7CjPRLcKcWj1y6 b8CwY0mVYPlVD/+2BnmZd9WMu+e6vVpSYX7EY56WQfpug4xoViC8bYucadwnlVjmgu+iRkDZ PLT9GtS6N7mFQK8dS3CPeN8F1jXXCyyGC4mtMDASUD8MVdZ6sd3gwLA4omwxUpVidQKf8rh4 uzk+zZ/OTeDwSdY76OxEg+M5t31yyryM2ywhDzWHMzkLdG7VlhSOUEh/Vh5eXt+dZYf7728v 4iycb/aPZp49rN6NPsglHbNs4PGUbuFwM5FcQ2mbT1o5QCwtjSarFrd+Axu7pBgg+o1LKqG/ YUswxrmRf0SjotrShgOR3byFhdIENb2pV7d9US3/pIi3kdMxPq4ifAFEj4c3lDeI40SwC0vm FkBTjOWwISBY+XATbZu7GIdwkSSVcaLIPcySJOcOuMLei26Sw/H5n9eX3R5dJ+HLnt9O2x9b +GN7uv/rr7/0GvIY3c6b4/nsBzVT04Cwaq2MYifHmLeBnzZ2YqFNs0nWydiZQaUGtkh+3chq JYjgFClXVdDQ19+yV6vaF9QoCPinOeKAQaIKGmcwSS6fleMmrthHCvzyF8FOQGOHMIs9K9Tw QboS3C+rqfEYbVStY/GCVZA2VBIKpVH/P1aQIe03zMoNwLUFGLeuLeokiWE3CPPpyFAvhMTg 4XzfhXT4sDltzlAsvMcLD4PxyfFOPWMgt8wv8DW9wgVSRABZlwSDjs6lGV7rG6Um1hLZHQym 4/kk+60RaL1J0YAq4WYiYFFLMSVrHQ16Y9R2mALTXSoawdjDmH3klw2gWMHVzv4gmZwbL7AX CwKT27HsKLzjPJyqm+HTKL6kZUwOrjkmDne4ldonI/RO0+LBdwxoCnhP69lX8KUy/b4wq6o0 pNQGB3QR3TWlJmNzP5dhA7lGPi5tTdtC6OKciPmwMDDVnKZRNqCpGno/slulzRxtm47oTZDF KcMTGo1jNrkky3luL2gPr90sEgzx56sEKbkVwWkEPZ9sA2skWxNND0jxwshM8o5Az7kmekhr eXDkpTEoevMoPf9wc8EN2ChHU7oK1uXSPWAEgCytLlGS0xlsXGDmqy5koL/w0aDVE9mEXT/G JpDJ1bPUl2pZ0olfHk1O0iynWHIbvRXyGG9r6cAHSUxJY65iwxNHptJIYVr05D4XNA7H+3F9 RXI8PvkgOE+zYFa7G8nCF5ix0qZJApbdKStrW+v3WtdXnbR+clOsXh1Df8rTVhzOPA/w7L/r 2IyHkHJfFnIzu085w2SANtfom8AO45UWpiIdvbTFevVoT+7er6+pZAQa3pylHtE69miXxjZC 2ZyWW7cDFnhEsagKRs4G0QbnFGNnd56SI2EMGLecVZqjZ8U1PpTwehF/MHUVK5HrFY4TosUe bVtJ+4PKXMr65UWzfT2hAIaKSIRJ4DePWy1oui30GzqhlTrVagZl1VBkOTRZi73qXRaCjDNn b0YzJQ3h1UHJhtxfJLGVH2yMOSyiUo8JEwYDUKoBLLexfmktqYeeI5m0v+OFQMDQpEZJ3JwS DeSszbnjtn4BKJDsFrqVBMLf5/0PrCXaq8oMDh+8qcMBEuUKCyMtQbaIG1rcFSopOvjUVk0O kyRPC1610E/hfT4cRApY8/55ZvwOewTPL5XLrMTqL34mot98+8lAZkOByWe05GrU1QWp5fCv nSdrtD2ODIe4KxRhoZ7kAJKujiqaWwgjDlA0noornIBz7ynxFRzb32GaD7VtSt9MceyaOwf4 8ZiPbAqHpZ+Cob8KtyX6abzu4BybxvT9vVixi5HlDJ9smZtMvLSp+Qm4KIxXxyPvqKYjSPSa m+M9KwgONAtChzDoJ+3gZrY2TVkOKixlThQryMpOBc3yyn09b9YuWJHSYzpUrIK7A5L82nC4 8z0Pb6+dJ8Wo+g9nuRN4qgY7VYbFh5I8CmDNjzaDVg7PnapqxCNAiwFHzoF3IGbetiT3JlAf PSqdJArCGeD/ADQSZUMXYgIA --VSaCG/zfRnOiPJtU Content-Type: text/plain; charset=us-ascii Content-Disposition: inline _______________________________________________ kbuild mailing list -- kbuild@lists.01.org To unsubscribe send an email to kbuild-leave@lists.01.org --VSaCG/zfRnOiPJtU-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============3298344143962290405==" MIME-Version: 1.0 From: Dan Carpenter Subject: Re: [PATCH] mac80211: enable QoS support for nl80211 ctrl port Date: Thu, 10 Dec 2020 14:04:33 +0300 Message-ID: <20201210110432.GM2789@kadam> In-Reply-To: <20201209225214.127548-1-markus.theil@tu-ilmenau.de> List-Id: To: kbuild@lists.01.org --===============3298344143962290405== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Markus, url: https://github.com/0day-ci/linux/commits/Markus-Theil/mac80211-enab= le-QoS-support-for-nl80211-ctrl-port/20201210-065717 = base: https://git.kernel.org/pub/scm/linux/kernel/git/jberg/mac80211-next= .git master config: x86_64-randconfig-s021-20201210 (attached as .config) compiler: gcc-9 (Debian 9.3.0-15) 9.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.3-179-ga00755aa-dirty # https://github.com/0day-ci/linux/commit/514b314825e19f7075eb375b3= effa93ff0f6a16e = git remote add linux-review https://github.com/0day-ci/linux = git fetch --no-tags linux-review Markus-Theil/mac80211-enable-QoS-s= upport-for-nl80211-ctrl-port/20201210-065717 git checkout 514b314825e19f7075eb375b3effa93ff0f6a16e # save the attached .config to linux build tree make W=3D1 C=3D1 CF=3D'-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH= =3Dx86_64 = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot "sparse warnings: (new ones prefixed by >>)" >> net/mac80211/tx.c:1206:26: sparse: sparse: dubious: !x & y vim +1206 net/mac80211/tx.c 9ae54c8463691b Johannes Berg 2008-01-31 1162 static ieee80211_tx_result 3b8d81e020f77c Johannes Berg 2009-06-17 1163 ieee80211_tx_prepare(stru= ct ieee80211_sub_if_data *sdata, 3b8d81e020f77c Johannes Berg 2009-06-17 1164 struct ieee80211_t= x_data *tx, 7c10770f995820 Johannes Berg 2015-03-20 1165 struct sta_info *s= ta, struct sk_buff *skb) e2ebc74d7e3d71 Johannes Berg 2007-07-27 1166 { 3b8d81e020f77c Johannes Berg 2009-06-17 1167 struct ieee80211_local *= local =3D sdata->local; 58d4185e36913d Johannes Berg 2007-09-26 1168 struct ieee80211_hdr *hd= r; e039fa4a4195ac Johannes Berg 2008-05-15 1169 struct ieee80211_tx_info= *info =3D IEEE80211_SKB_CB(skb); 68f2b517bcbd81 Johannes Berg 2011-10-07 1170 int tid; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1171 = e2ebc74d7e3d71 Johannes Berg 2007-07-27 1172 memset(tx, 0, sizeof(*tx= )); e2ebc74d7e3d71 Johannes Berg 2007-07-27 1173 tx->skb =3D skb; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1174 tx->local =3D local; 3b8d81e020f77c Johannes Berg 2009-06-17 1175 tx->sdata =3D sdata; 252b86c43225d0 Johannes Berg 2011-11-16 1176 __skb_queue_head_init(&t= x->skbs); e2ebc74d7e3d71 Johannes Berg 2007-07-27 1177 = cd8ffc800ce18e Johannes Berg 2009-03-23 1178 /* cd8ffc800ce18e Johannes Berg 2009-03-23 1179 * If this flag is set t= o true anywhere, and we get here, cd8ffc800ce18e Johannes Berg 2009-03-23 1180 * we are doing the need= ed processing, so remove the flag cd8ffc800ce18e Johannes Berg 2009-03-23 1181 * now. cd8ffc800ce18e Johannes Berg 2009-03-23 1182 */ cc20ff2c6b5d3e Felix Fietkau 2020-09-08 1183 info->control.flags &=3D= ~IEEE80211_TX_INTCFL_NEED_TXPROCESSING; cd8ffc800ce18e Johannes Berg 2009-03-23 1184 = 58d4185e36913d Johannes Berg 2007-09-26 1185 hdr =3D (struct ieee8021= 1_hdr *) skb->data; 58d4185e36913d Johannes Berg 2007-09-26 1186 = 7c10770f995820 Johannes Berg 2015-03-20 1187 if (likely(sta)) { 7c10770f995820 Johannes Berg 2015-03-20 1188 if (!IS_ERR(sta)) 7c10770f995820 Johannes Berg 2015-03-20 1189 tx->sta =3D sta; 7c10770f995820 Johannes Berg 2015-03-20 1190 } else { 3f0e0b220f8007 Felix Fietkau 2010-01-08 1191 if (sdata->vif.type =3D= =3D NL80211_IFTYPE_AP_VLAN) { f14543ee4d0681 Felix Fietkau 2009-11-10 1192 tx->sta =3D rcu_derefe= rence(sdata->u.vlan.sta); 7c10770f995820 Johannes Berg 2015-03-20 1193 if (!tx->sta && sdata-= >wdev.use_4addr) 3f0e0b220f8007 Felix Fietkau 2010-01-08 1194 return TX_DROP; 514b314825e19f Markus Theil 2020-12-09 1195 } else if (tx->sdata->c= ontrol_port_protocol =3D=3D tx->skb->protocol) { b4d57adb727ec7 Felix Fietkau 2010-01-31 1196 tx->sta =3D sta_info_g= et_bss(sdata, hdr->addr1); 3f0e0b220f8007 Felix Fietkau 2010-01-08 1197 } 9d6b106b54e02a Johannes Berg 2015-02-24 1198 if (!tx->sta && !is_mul= ticast_ether_addr(hdr->addr1)) abe60632f311d5 Johannes Berg 2009-11-25 1199 tx->sta =3D sta_info_g= et(sdata, hdr->addr1); 7c10770f995820 Johannes Berg 2015-03-20 1200 } 58d4185e36913d Johannes Berg 2007-09-26 1201 = cd8ffc800ce18e Johannes Berg 2009-03-23 1202 if (tx->sta && ieee80211= _is_data_qos(hdr->frame_control) && 49a59543eb5a5d Johannes Berg 2011-09-29 1203 !ieee80211_is_qos_nu= llfunc(hdr->frame_control) && 30686bf7f5b3c3 Johannes Berg 2015-06-02 1204 ieee80211_hw_check(&= local->hw, AMPDU_AGGREGATION) && 514b314825e19f Markus Theil 2020-12-09 1205 !ieee80211_hw_check(= &local->hw, TX_AMPDU_SETUP_IN_HW) && 514b314825e19f Markus Theil 2020-12-09 @1206 !info->flags & IEEE8= 0211_TX_CTRL_PORT_CTRL_PROTO) { ! has higher precedence than & so this is equivalent of "if (!info->flags) {" Presumably, it should be: !(info->flags & IEEE80211_TX_CTRL_PORT_CTRL_PROTO)) { cd8ffc800ce18e Johannes Berg 2009-03-23 1207 struct tid_ampdu_tx *ti= d_tx; cd8ffc800ce18e Johannes Berg 2009-03-23 1208 = a1f2ba04cc9241 Sara Sharon 2018-02-19 1209 tid =3D ieee80211_get_t= id(hdr); 8b30b1fe368ab0 Sujith 2008-10-24 1210 = a622ab72b4dcfd Johannes Berg 2010-06-10 1211 tid_tx =3D rcu_derefere= nce(tx->sta->ampdu_mlme.tid_tx[tid]); a622ab72b4dcfd Johannes Berg 2010-06-10 1212 if (tid_tx) { a622ab72b4dcfd Johannes Berg 2010-06-10 1213 bool queued; a622ab72b4dcfd Johannes Berg 2010-06-10 1214 = a622ab72b4dcfd Johannes Berg 2010-06-10 1215 queued =3D ieee80211_t= x_prep_agg(tx, skb, info, a622ab72b4dcfd Johannes Berg 2010-06-10 1216 tid_tx, tid); cd8ffc800ce18e Johannes Berg 2009-03-23 1217 = cd8ffc800ce18e Johannes Berg 2009-03-23 1218 if (unlikely(queued)) cd8ffc800ce18e Johannes Berg 2009-03-23 1219 return TX_QUEUED; 8b30b1fe368ab0 Sujith 2008-10-24 1220 } a622ab72b4dcfd Johannes Berg 2010-06-10 1221 } 8b30b1fe368ab0 Sujith 2008-10-24 1222 = badffb725c86cc Jiri Slaby 2007-08-28 1223 if (is_multicast_ether_a= ddr(hdr->addr1)) { 5cf121c3cdb955 Johannes Berg 2008-02-25 1224 tx->flags &=3D ~IEEE802= 11_TX_UNICAST; e039fa4a4195ac Johannes Berg 2008-05-15 1225 info->flags |=3D IEEE80= 211_TX_CTL_NO_ACK; 6fd67e937ece53 Simon Wunderlich 2011-11-18 1226 } else 5cf121c3cdb955 Johannes Berg 2008-02-25 1227 tx->flags |=3D IEEE8021= 1_TX_UNICAST; 58d4185e36913d Johannes Berg 2007-09-26 1228 = a26eb27ab43014 Johannes Berg 2011-10-07 1229 if (!(info->flags & IEEE= 80211_TX_CTL_DONTFRAG)) { a26eb27ab43014 Johannes Berg 2011-10-07 1230 if (!(tx->flags & IEEE8= 0211_TX_UNICAST) || a26eb27ab43014 Johannes Berg 2011-10-07 1231 skb->len + FCS_LEN = <=3D local->hw.wiphy->frag_threshold || a26eb27ab43014 Johannes Berg 2011-10-07 1232 info->flags & IEEE8= 0211_TX_CTL_AMPDU) a26eb27ab43014 Johannes Berg 2011-10-07 1233 info->flags |=3D IEEE8= 0211_TX_CTL_DONTFRAG; 58d4185e36913d Johannes Berg 2007-09-26 1234 } 58d4185e36913d Johannes Berg 2007-09-26 1235 = e2ebc74d7e3d71 Johannes Berg 2007-07-27 1236 if (!tx->sta) e039fa4a4195ac Johannes Berg 2008-05-15 1237 info->flags |=3D IEEE80= 211_TX_CTL_CLEAR_PS_FILT; f7418bc10d8402 Felix Fietkau 2015-09-24 1238 else if (test_and_clear_= sta_flag(tx->sta, WLAN_STA_CLEAR_PS_FILT)) { e039fa4a4195ac Johannes Berg 2008-05-15 1239 info->flags |=3D IEEE80= 211_TX_CTL_CLEAR_PS_FILT; f7418bc10d8402 Felix Fietkau 2015-09-24 1240 ieee80211_check_fast_xm= it(tx->sta); f7418bc10d8402 Felix Fietkau 2015-09-24 1241 } 58d4185e36913d Johannes Berg 2007-09-26 1242 = e039fa4a4195ac Johannes Berg 2008-05-15 1243 info->flags |=3D IEEE802= 11_TX_CTL_FIRST_FRAGMENT; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1244 = 9ae54c8463691b Johannes Berg 2008-01-31 1245 return TX_CONTINUE; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1246 } --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org = _______________________________________________ kbuild mailing list -- kbuild(a)lists.01.org To unsubscribe send an email to kbuild-leave(a)lists.01.org --===============3298344143962290405== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICHXt0V8AAy5jb25maWcAjDzLdtw2svt8RR9nk1k4I/mh65x7tABJsBtpgqABsNWtDY8itz06 Y0u+kjwT//2tAvgogGDbXiTqqmIBBOqNAn/95dcV+/b88OXm+e725vPn76tPx/vj483z8cPq493n 4/+uCrWqlV3xQtjfgbi6u//29z//fnfRXbxZvf39/Oz3s5ePt69X2+Pj/fHzKn+4/3j36RswuHu4 /+XXX3JVl2Ld5Xm349oIVXeW7+3li0+3ty//WP1WHP+6u7lf/fH7a2Bz/vYf/q8X5DFhunWeX34f QOuJ1eUfZ6/PzgZEVYzwV6/fnrl/I5+K1esRfUbY56zuKlFvpwEIsDOWWZEHuA0zHTOyWyurkghR w6OcoFRtrG5zq7SZoEK/766UJuNmragKKyTvLMsq3hml7YS1G81ZAcxLBf8BEoOPwgL/ulq7Dfu8 ejo+f/s6Lbmohe14veuYhsURUtjL16+AfJyWbAQMY7mxq7un1f3DM3IYV1PlrBoW7MWLFLhjLV0C N//OsMoS+g3b8W7Ldc2rbn0tmomcYjLAvEqjqmvJ0pj99dITagnxJo24NraYMOFsx/WiU6XrFRPg hE/h99enn1an0W9OofFFEntZ8JK1lXUSQfZmAG+UsTWT/PLFb/cP98d/jATmigVLYA5mJ5o8MUKj jNh38n3LWyL5FIoP57aakFfM5psueiLXyphOcqn0oWPWsnxDJ9AaXoksMT5rwTpFm8s08HcIHJpV ZOwI6rQIFHL19O2vp+9Pz8cvkxatec21yJ2+NlplZLIUZTbqKo3hZclzK3BCZdlJr7cRXcPrQtTO KKSZSLHWYIlAFck76gJQBnap09wAh/Sj+YZqHUIKJZmoQ5gRMkXUbQTXuJCHhXkxq2GLYRnBLoCB S1Ph9PTOzb+TquDhSKXSOS96AwerMGFNw7Th/aqMQkA5Fzxr16UJdeJ4/2H18DHa0MkTqHxrVAtj ehEsFBnRyQwlcSrzPfXwjlWiYJZ3FTO2yw95lRANZ853M/kb0I4f3/HampPILtOKFTkMdJpMwo6x 4s82SSeV6doGpxwpilfTvGnddLVxziVyTidpnP7Yuy/Hx6eUCoEH3Xaq5qAjVEevQey1UIXzr+Pu 1goxoqh40tB5dNlW1TI6YR82Yr1BMexn7wbsxWQ274lbozmXjQWudXo2A8FOVW1tmT6kTKOnIUvZ P5QreGYG9jruVhRW+5/25unfq2eY4uoGpvv0fPP8tLq5vX34dv98d/8pWmPcHpY7vl6PxonuhLYR GgUj+VKoV05uJ9okXWYKtIg5B4sNpKkgAoUEQygi3U5uCl6xg3soQux72DiIgwr1o7k0RiRtwE8s 4ajbsDrCqIrRLdB5uzIJiYa96gA339QACD86vgcpJ69pAgrHKALhmrlHe81NoGagtuApuNUs5/M5 wZZUFQaAkjoUxNQcLLHh6zyrBDUiiCtZrVp7efFmDuwqzsrL84tpQxCXKRWGlgG2VnmGi74kNtPk Oxf5yoxqbbgxozvZ+j+Ig9mOG6RyCt4AT04D8kphCFuCJxelvXx1RuEoG5LtCf781bTzoraQKbCS RzzOXwdmtoU0wAf2+QZW2dntQc7M7b+OH759Pj6uPh5vnr89Hp8cuH/ZBDZwWKZtGkgWTFe3knUZ g2QnDxypo7pitQWkdaO3tWRNZ6usK6vWbGaJDLzT+at3EYdxnBibr7VqG7KYDVtzb+C4puoMkV2+ Tux4Vm17JjFTv1oTtGRCdyFmSmlK8JSsLq5EYTeJUcAGJnn2IzWiMDOgLmj+0QNLUNtrrmfwTbvm sKYE3kDIag2dJAoiDtXjkvrRsyv4TuQ88SI9HjjE9nJ4Fa7L5eeypkw842KpxENG5duRhlmyGpg0 QIwGHiAI0lEQTUqt0anUNAdu8uA3rIf2gGm1YKGSzGpug2dhR/Nto0Ay0c9DKMqDzMUJPear7j2S iw5RGshPwcGUQyzLi7TlQs+1IMCwXS5e1ES03G8mgbEPG0n6pYsoIwZAlAgDJMx/AUDTXodX9EUd 5E1K9oshzZ0cuFIYheDfaSnMOwUBiRTXHIN0J1RKSzAuSZmMqA38QdxelP15iyiK84uYBjxmzl0c 5D1AHKzmptnCXMBP42RI+SEUau93E/OMBpWQAQsUPDIPUGLM07pZ3O5FZAYuN2B0qlniO8aagaeI f3e1FLSIQsw2r0rYH00ZL749g0QJw2Iyq9byffQT9Imwb1TwcmJds6okwutegAJcmkEBZgMWnXgJ QUovELW1OnRDxU4YPqwfWRlgkjGtBd2FLZIcpJlDumDxJ2gG0Ru8JMopWMYEhVsk1GBMxwPJme/p 5DKHMgmS/UmzQZQaTGe7QgM/HTIEK1JBzpYEdq0MFBEZuTHKVPXGzQR98rRKMN06j0QDMuUgTQZi XhQ8xdErEozZjbmnCzf6Em5zfPz48Pjl5v72uOL/Od5DvMwgEMkxYoZUaQqDQxbjyM6ReCS8WbeT rjyQjM9/csRhwJ30ww2hBREOU7WZH5n4BCUbBhvnktTJzlcsVUJCBpQdy2DBNYQx/f7HLFwQgFFy p0H7lUyypGRYsIGIPtCetiwhIHTREq2hkIFaFyQDibaCValBDsZy6TwzFrhFKfIhhaExRymqWfLU b0JYPx74XrzJqLDvXcE/+E29nK9wo9EueA46QbQB8oMGUgTnOuzli+PnjxdvXv797uLlxRtaVt6C 5x0iTLJEluVbnwnMcFK2kb5KDGp1DX5U+GrI5at3pwjYHkviSYJBdgZGC3wCMmAHOVBPN5apDOuC GHJABKJKgKOF6lw4E0i5Hxxy594XdmWRz5mAJROZxtqUS7Sjx9GUoEjhMPsUjkGwhMcfPPLhIwXI Ekyra9YgV3HVFUJaH3/6cgOkbiRexOxyQDn7BKw0Vs82LT2BCeicciTJ/HxExnXta4vgdo3IqnjK pjVYYF1COyPvlo5V8wj+WsE6wP69JmGZKx+7h5cSpN4EwtSdWlNfZFgNis8KddWpsoTlujz7+8NH +Hd7Nv4Lla4zslkaqHU1aSIhJQQenOnqkGOxlTrnZu3TzwpMKDjfMY3vMz6YF/fqhrvKc2+JnF9o Hh9uj09PD4+r5+9ffRmFpKnRQhHdpdPGVyk5s63mPm+g9gmR+1esEamzBUTKxpWCiairqigFTVw1 txDP+JO3gLGXdQgtdbpmiDR8b0FCUOr6yGqREjWy6qrGmEUSJic+yzmcUKbsZEbisQESuzHkOW54 fzYCaXDVpnIcJUE0S0g5RvORCgAOoF0Qi0GYvm45LfTAMjMsFgbeo4fNM8Q5iWlE7YrkCxu52aF1 qjIQM/BWeeTu9mFJctAZcPvRNH2dvmmxTgzSW9k+lJ0mtNucnuiJCmdMOlRqRiZ/wuJvFMY2blrJ gViu6xNouX2XhjcmTyMw2ksfPIJbTYYfozugwfAgw7rGyNXbel+uuqAk1fkyzpo85JfLZp9v1lF4 gCcOuxACjlTIVjqVLJkU1YGUE5HASRgkgdKQAEKA8XW2owtSSKTfyf3MqgxmDcYArfEKOwczWcyB m8OaVkQHcA4hJ2v1HHG9YWpPj9I2DfeiRYgLl99Nx1cQyYGqQ/CysJl7sJupgodzhwajTXCIGV9j dJNG4lng2/MZcghkpyXvMQTijYiRdm5Z5JJxdj0BHVrvSMxUAqi5VpikYYkg02rLa1+HwKPMSFho 7t8DsMBa8TXLD7GVl+6wDrZ60SwjBez6kodxz//JXTnNez2SlHx5uL97fngMjlxI9tN7hbaOsvUZ hWZNdQqf42lJYNUpjXMs6io06WMYvzBf+pLnF7OYnpsGQoZYdYcjS4jS2io6ePZb21T4H05rEOJd YCWlyLXCXGBpxY2ON9FZ9MUNfOsilwVuhdCwd906w6ArkqS8Yb6Tx1iRB4EHrih4VNCYXB+atKnG ovpSWu5PqD0Hlog8R/SURAZ4XuGke5+OtQQiHaJCSa8GN44Hzi3HYPF48+GM/AsXqcHRvIosrJSr lELGogxWEHTbzLcXNRLdnxymNhH6x2OdxvN9PP64IqZEWh3W/uE3RpnCQlaRikrc9Fm8RuBmDcSu qFwsLNs7tE++o2BJsijybGXYzDNFcv0L9jEvvuCWH5ZjO/+QNXu3WxjB/zRpKrRJ0PVNVVMdpxSp CO66Oz87o3QAefX2LDkbQL0+W0QBn7PkCJfnUybiXcBG4zkzHXXL9zwdsDgMporJYrFmZtMVLc0Q ms3BCPQkoKoas6LzMBnC2lnObK9mU8XbCQBWnbG8l4rjBr6QFa9r4PsqYLsBUa/adRglTQpA0MFy +wyPYlOv6asDu8IEW+rVMzayqbnHlHtVV4dTrBZbFXJZuJQe3ixlQkH0RHnoqsLOS6Eur6/Ejjd4 eHhJTmFPJYazqgErii4yzg7nLeegiP2KpmlMU0F206AbtH1QnqDCHN5VDWjXlHfpD/89Pq7ARd58 On453j+7GbO8EauHr9ivStLZvmhAstm+ijCd/U1KNNUgUvInO1NxTiW9h/QZ8uTrpdN+h0szumJb 7tKrgNkI7ds8id4G2HVOH4tGXjr+A1RekZW+eu9jEGxsE7ngU4V8qUaBC0xws1+DEDvVhndQatvG BQ/Yyo3t+/rwkYbWvRykr4P6ubkwypCSIcnLmj7BXiedkOfV5LqzkUN3M21o/ORpw711MM13ndpx rUXBadkpnAWYx0T/GqVg8UtmzEIocIihrbVhwdeBdzC6WmJdsvkDlqWDL79mIEJLzFw+pzlIhjHR 3PoOIYj2x9g2jRbFbLVHZAQPTXY4zYkhW681CJZVi9tsNxC/svjQx9kqvxxoTdoGjEgRTy3GJeRr eSmbHMVGpU4n/XIqyDfBWC+9t1B9XhWyNVk6bvHPLhxo+wFbYxUGe3ajTpDBX6k5T1rJGk50O4T3 55whR0ScELnGpsOrYZXg77j5c7RaAs+jQQDSRtmHymOqPqW6YbQ19OGtysfj/3073t9+Xz3d3nz2 eeDkW3vxX2pBSzw9MhYfPh/JNQlsQgsUYYB0a7XrKvCh4XwDtOR1uqgQUFmebjEPiIaaWnK7PWqo v9GAYHwj0k7owtt5Q+cQQvzQJbulyr49DYDVb6A/q+Pz7e//IMk4qJRPAYmLA5iU/scE9RAsP52f kfJxf0yDFQuidRBp1FmcOGAXQJZ8mYVZ+je4u795/L7iX759voliDVfgWsi09/TgoY8n56AZCZZX 2os3PuYFubB0l+ZTcTMs7x6//Pfm8bgqHu/+Exz08iI4r4afcebTY0qh5RXTLpoLkrBCClEEP30z RQTCizcS0jyMVCGUxeQHdsrXi+kMhMmN6ERWpuxRedXl5TrmT6FDNBzU5ZRaV3x8gwRfnMxwtDJE lPb46fFm9XFYuQ9u5Wjv3gLBgJ6teWA8tzsZmVOshQv9PmzqpxjanUHhHZbdgm6METvr6kCglLSX AyHMNR24LpuYgzSx2UfoeMjoC87Y1RNy3JXxGEPJGlTZHrDY51o/++Q8JI0FP3jZ7NAwGoqMyFp1 YdcLAvclhIxW+XJ91PiOJwAtaNF1pJt+a6ZsFweOy4908Wi5GQOM3f7t+asAZDbsvKtFDHv19iKG QmrausOw4PrXzePtv+6ej7eYfr38cPwKEob2dJbZDFGEL/IO0t8vPEgCDS/duinfPkCc0gBBnz73 oVt/JplYiT8h4QcnlvHgrMZfsnN1F6yIlQs30noyl+YOZNFMp5SkrZ3lw6a/HOPBeVHJ3VcDjeiy /ppTj3dNiJrbVtcgLVaUQVeSG0YozbEBIHH8vY3PYz0UDydTCNWk4T2bDkxgmeqCK9vaF6sgx8DY 2RWuo+tBOx62lk2XohzHDaRZERL9H8aeYt2qNnEjBdJVHyH4uzqJuBncjsU6Qt/sOCcwfCh3LiD7 Om7gPMjM/S1I323SXW2E5WGj+niib7riUDOMAt0VAv9EzNJILHz01xnjPYDYEfS0LvyheC9HYXzg 6XzjVXJ78Orl4oObqy6D1/FdqxFOij3I7oQ2bjoR0U+IKj0+mEsDtiRhacB1//ozf/dEikli/KHF S/dLFNbzpl0L1P4ENtGbJ2XbQQ634X0+7sovSTReFEiR9NLltcG36ffnlfFkeoPRCxdWkCKK/jl/ 4LWAK1S70GLSR2bY9OzvtQ23axO0qioIfWrVDM+R4ASqb9MhFaz4kSVCwgr3tQIhjJCzPpHJRv8E HJdYzUIR//bCQvDXy5NrY4iFDg0U31tnxLbzgGbhplNswed3nGIFVCjgMo6mBvtZ49EOOpqh2Piz dF3TJnkiHlsl48KXEweHxLInxAM6OZRRpfVR0+w9iuEsiufYHEiURxUtFtzQGWKrMWpfwio71FBk T40dNNXFHnkvbNpdhE9NfXoJvqTJbokJJUmw6tGOHI8J4ml6eeuvdM79KKyM8AXosR0xzByzNjLw qMBGrPui8etZftbjWeS1xwQvE76PILXeKCV+JjSKmqCneohB8wQYt/6+uL7aUx1dRMWPe8lJPp5C TVPHBmjIdfujnNDpjoEZxAdBfDUdduBNFNIAnKybkm7p4Vh3vtlDILmMmT7j4IPsXO1e/nXzdPyw +rfvWf76+PDx7nPQEYBE/fol1s5hh8CZhe1KMS7dp3tiDsFr4CcyMMQXdXDT9ScThYEV2FGJdwao srgOeoMN3dNHNHozQl+nFwJ3s7vDjvd0q4unautTFENwdoqD0fn4SYqFi8ED5cJVlx6N6qf5Qmtf T4MNnVcQnxmDrmW8AtUJ6U47UjdOapBqUPeDzFRw66G3v+4SaHzqkYXnW3i/yNU8NH8ftsINN48y s04CK5HN4ZiqrrWg3mKG6ux5cOI5EGCjZ3q7Bgqw98rauN+cEA2HkS4O0uEcrrLo5fqrZwKv5oJC H+I5jfh86bppz7aT7xfm4w9zSxOzxm1TTbLtHtHeRAxWJuq5TxKMxaxZkbm5eXy+QwVc2e9faV+t 6/z3yUSxw7tX1JHmCkL/kWIR0eWtZDVbxnNu1H4Z7btmFpCsKE9g3XkchH3LFFqYXNDBxT71Stgc m3pTCV40QEynBJZpMaEW2u3yH1GYQpk0zeCWCpmeACKWj4LM+keTayv3dY3TRKatf0CxZVqyH9Bg bfPUO+KnXy7epTaA6DJZgaG6H0l1YN1mJTxUGfke6/YzGIb1tFjYg8PbuQh059r+gy5qujj9RI9r 4DmhfENLAXEpzj7VETFRbQ9ZWOEaEFmZPvMJhx41efychE/Vg/vS4c1aZupzUpKqe0OC3dXOX85a H6bDdquw6KEl+RyNc+P+YdA3dRWcLOorA5HSAtJt0wJujNfcN3yKqfV7IlnGxA/rq/SjM/gYTuHx AJ6xV6xp0BOzokDX3TlvnApdhytzXcZL/N9wfS9J67tprjQwp+88NX84geJ/H2+/Pd/89fnovpW2 cv2Xz8R4Z6IupcUUahbjp1DwI+wgdfPFssp4CxGzsdm3C3peJteCRrs9GGKVPGTZF2pGeV16D/eS 8vjl4fH7Sk5HdPNmmVN9jFMTJPiglqUwKWLI8SEL4CnUzp8uzXouZxRxWQ6/1LOmUVY/Y/rdD/qt AtKQlLKJvhvJeluGfdRvIr4ZBoshV7f7+VKrEBYINEdNDioSic8/5a5O20XXi7DXzWlCZ8cLfOS+ d5u+uu0vRCjMYsPSGikqTt7EpO4aDOLp9sV/hqjQl2/O/rgIlOsnrrGEmKSzStVVllJBXwu2m6YL y/x5xZnvKKWDlxqWFQlTzXzO1ZCGOnbCuY/YZHMPYvFqnLn8HyIxySLOdaMUUZnrrA2OYq9fl6pK 9bRfGznIxkTcw8arYNLbzuQbjMSYFJ+4XeJORIcjEToaiATXOiyouu8hJIdz5wqOZCjsnUruG3e3 MSyXbSRYGIHnIdRe40WoXVSN9BfEu+HLRFMWjt/GgGB9I5n+f86+pcltHFl3f39FxaxmIk6fFqkX tfAC4kOii68iKInlDaParpmuGLfL11V9ps+/v0gAJJFAQnLchR/6MgGCAAgkEvm4qkWBx0t9GivM ZdS/Uo41VKl7VS8wGWtSHCQ5No+EGBeiI1p0fwVgamH8fq9c2MZ7DLlwV8/v/3n98e+Xb/9yV2yx Bt2bbVG/xeRjxrIj5I4e/xJbTGkhuEhXoB4VPwkPOETuatJBIDM9C+AXWBxgj3qJsuKAbGslCFu7 p1J1F50hGUHi/LSHq+E8frQIavF12E1/AtSgowWkvLGQvMF6eBjS+/TRATyPTkGe6mJTkV/G6Ic1 KH3SyCguqak/NUCLPVezdP40GxUlA+LP0d9uM51NpZkB2fmCSXn+xAXj3DQGEZSmauzfQ3KMXVAa Zjtoy1qrO/MGG/wr7ADSVFqeesq/SnIM3alC6jt4ed1uK16WECgFVt/nzifbnLscQ6fErRnwrD7Z rRTQ3A5q84DhQbNMAmqWGVZXChu/GnrcNJOcTb4n2ZNVgnIeOl0FFBJ059cgnjjCuD3QVUDwtadl F7oggGJ04W7pkV5txCPFfw/TZCUeMfHEp715VzLKNyP9w98+//nby+e/meXKZM1R7LHmvMHf0Xmj vw84C9KmjZJJBdKB1WVIGNVMeOGNMwk2eK2ZIHfpnEjWQqJwZ8ihTWXebGxG7zTYzCh+M/Fl+F+b k+alkuR+lgJUXw9qJKxTTaFDKHOLKpZ40LXasPq+SfBGhU1ecnHYCO3npIfNUFw8XSCpQsSg3Cln BiuckZo7TTFV6/Eepj9kMSJg1QQXviDa4DWo6Rq9Jmd4C5JFxIlCXkSJ/a5srKiSgkddHVP60ca+ VR6R4VSa81Z87bE9BSU0fuVSlgHgLo7z5M2JMG5uQ7IcsIVXZHOTb0nqb7xPm9uiI9ccnz7/27IG HqsnGmBWb1Vg9AePzS0Ofg3J/jDU+49xZfnldrNiQG1FcmLBSkTrCn0FwPaMOuH6+MHNyGnJT7fg J54sZ4F6vLXWtwkdW840k4BfQp4WRYccme8aBLHPeOoZpLa+dsp5diXWmRGwOnCXMY0zRwRMD/MY O/wArWAejy0g7ttwE9Ehv4uwo16Am3Nn3+aJaZqgfg/5oRSzrKrrBmkZNLVsURs1GmfUsV/Z1cAH y5m1MgBENvws3niIFmHwQJKTNK5SMiJ9YYyw+BHinmQFdWTrw7VRiDXGXVhzrC1Bd1PUl4Z5ouKm aQqNXlPB9dRkVc6pcil4+PP5z2fxWf+q1cDomlhzD/H+Aa/EAB67PQFmpgZvRNXEQ33O5R17Thv4 jwxyT6M7f2RpPTd8I90ygHeoD1TDuvSBukmbyPvMfcd4z11QbDtk/cx+dYtBiP8JVTDhngP/yCD+ NZWUU7m2dcHyAVrh4uKMThPiY32fuvAD3YngUH+tF7MHxUKWZffUWXsuShU6HilD/2my5SlVSLRC UK6Um9Ua7vylta3z4BMzgojRNm5bGXXpOxPd3hpp3L7csehCnMlqqVO+8gDdwA9/++f/HT6/fnn+ +jft+vP16e3t5Z8vn608KcAfF06/CAhsL3La1Xrk6OK8SlLf4RY4pFC7omrPLleKnZZosdWQN8qs JmtR03lUy88eIXUib/AQywYWZoaFEbWDBk+d1WR0FWnr4iX4NVsWOfJoLAlXmspMk2J5LAc9JyiR Uhc/MByq9yCZ23rvHVNgAI3mlcUYWLiQzEkv+5GhYlQzU5QyY6ostzVTEr3f0+wxPzmbkGx2Q+ou RjLIAG5lzqDpR5e1s2wDJc+uvbQ6Jmm9mlP2YPnbI4YuHjWq11ZL8fUb+oHY2LaTCsy1eV3gqKBi v2bSigOJVxM6/vdMnaYMroJ5yifMY/4ys1T0AmJwlLaWj3iOuteg3swOXWZQRnes6aF1k1Znfsnp T+zsKCzPtLZyggshz2o/sZEkjQaoqjDBUe2NKnn8JJjT9lwCbDhwSuqQJMfrSqJ54+oGVEBrqiuO OFCOnICy25L07J3DxRJyzcBx2+LSPA9th2qF3wMnwyNJkmjw/BISKY+WkrOKOfLwhd9DnZZgIjIc oLNInUdrBo5vM5lMwlT19A3qdW3uJTUXtLhncDi6ZqlBhED+/NFyBNs/oOHQ0X5pzQZcaaWsdOzX pP4WzANVHAZ8D3P3/vz2bukK5Fvcd04qDq0ocEpaBPNqZz6SlS1LpKCpDcs+//v5/a59+vLyCgaj 76+fX78iexgmDklUN+IIAeCa2TJKSgDK3rwXAuBwwb8/BrvlDkM5V7p81RZx7kqe/+flM+F+Cszn 2NwxJNITLeRFzKibdaCJDwHXELMiBpNxULaa3yjQsiKl6j+0seeACNT7MwNvmCbO04zes+VjB38b 43i7XdgPlSDYmV8rRAQFl52c5fBvltiVllda0aTsXr8Fro1/ZBCVB4NpybHN1gyWcc7sB2dRsFlQ Oh/cg7i6sUV2ZVNLqZXFYKAa0hQ9FPUU1K8K3e5MMk2igoWabHVm5+ExYCE6OUagMCK8ES2CsNf/ fPr8jL5TKHzMl0FASfhySOMmXAc97jkN2iM5wSoklxKSRi9+txm4FcpeVl3s0sm3iM95Wj9NCyWI zp0maCcSWJvBjkyLKqJERYbHEZS47BqrqmOe0OkegEYbeu8hn42fknhLlTzraKFx3xlSk1mE8ndV 4QK+/vn8/vr6/vvdF9WNX+xVcd/ZsS3hleL8xNqOwobjioT3MXc6TZNYd1xSehGDxduEgR02fW9T kq4IbGzfLWMHK05pzMxMGgo/H5FxqOjz9oxsMLz9Zux3mRABWjKPoSDdmzuZZ5/P8v3QntB90CVv 0wIZZYwInCMMFHzXsJGfhHB+Ignx5tFhys0tLDuARjJAMlchIZnVs6RjL47F4PtNC4jhOFxYW4kl ibt1S38D8SIyOwRc76eHZE+wgSnn6DkELNKbm+CblCc00TpYTJS4TZgbAH4iX1AXCzFz7BcLkcY7 bUwQ2his1mC4C5o6Gbj9DNeHv/3x8u3t/cfz1+H39785jGVqBq6eYFhazLGcCGSWQ6JSPppP+Wy6 cI1OvBibi3cMeuwoc1/JWPBzML7sPjelZ/V7fAUM5lVz6hz00NjK0F1j/57NvpHEvFNpmTyH813j 5IFgOU54JH57451JoqjHkhZz8HQ2Z37aHIcC3y6NGNzud92j9wkjG3w0tK6gymL0Q5xED3ln2s4C WJlroQbA2NoF9Z4w96LAj7Eb6qh6fvpxl708f4XkG3/88ec3raC8+7so8Q+9pBp7ENTTtdl2t10w /FSUUBSALGnsFghoyEOPTlPQm2q9XF7lgNVfvhw1F6AVndtJCoNqSdztv74helqBRC3L7NJWaxKk nrlbHzNz//rJERgraZTyD384eWYAlB3CiMFZllJeQ64FbRqrIXGkFvMWJe2ReggwfS5NzzN585ee cUpt5fiMDFnBvrc+Y9PitDt2gmlUv/juG9M5E4+6j/ccGxWzJb+n9DFK59MwRtn+oTPi4uxk4uAB W9L+RCk7gcp4U6JqJELdV0w06THFRXvIWY/ZYE/8KWY6dRdiHJqOFrllHC1OnZOAAuLBvd0r11IF xODEqEyLdcBOCHrpqZ13ZlYeQKT2xQZRilEAhPCI+126skhxTGGYmNdn+w2ErOVpU8OQSklWbse0 GYPsNMQiC9jn12/vP16/Qk7HWbBHz8868XdAhuYFMiTtdvSWE2FOHYqHuIcsQL3TouT57eVf3y4Q hwoaF7+K//A/v39//fFuxrK6xqZcRV5/E+/y8hXIz95qrnCpTnj68gxBzCV57ijI0TvWZb5TzJK0 Mi9cTHRIG6cTRhIc32V3+T8JxEoHZRVd/nEbBqk9fyToVO8wpMgR5/arT5519CSaJlj67cv3V3GA xyHy0ioZo82gxo74jaCKwCm+P/vAiho1PXhqytt/Xt4//05PefNTv2i1tvIWRZX6q5hrwMdFV+Wj EOmOPsQ5/YZQh7WY69f45fPTjy93v/14+fIvrJV5hOQQ1BAnm21oaDzzKFzsQrOB8DCwpFJRBwwB mTV5YgrHGhBCIFcpxSEP73Jhk/Vq2vZD1w/SzYaoAkvGc9FTqS6YXRq4QyA96EiQDu9DbN0vqLzJ T99fvoAXpBo3Z7zHKjqer7c98cyGD1J54DwUSmwior/NomL5C6nCbS9ptNGfp81zjLWXz1rGuKsn d4rpEScVl+KYFg1pDyl6qSsbrP8ZsaGEaBakMRerElYoY7tx3rTqSVOoRYhjNhkeTfEEv76KpeTH 3OPZRc58pMUYISmfJZC5eCaC+x2bHmKkLZ1LychP6oXNtyIZSMd3p8AYf8GqTsqi5JjZrzvpcWSQ BohFgNwdp36X6kuZtdFj4qH1m62t3kQMsA7qaoRIAxGD6GWzHB5qPtyfKgjq4ssIJCtTMRZ1lTIG HNFfqqKRKR1wIDwj648UrGQtNPl8KiDr2V4IBR3yYmjTA3KtUr/x8UVjvMhL5Dc44uYxSmOXwIFw mMnxOe2DW5/4RBJQqbmU2Lx7nx8/sHNpyIAQ3E6GT5ITPcNzFoiZ3OllcB9yrnnWgCk8rXM4Luu+ M32swLQCnNxKy9HymJPAtFaj8LL2AVD8Uzl5tGSOaRX1jZxrh8oX46SjLoBrpD2pM3D86jxRGgX1 vt5/nN9GADoSH8K0uzbC0LjX2WCZZwpEOXxTmU3sKPEqypod/V1D1HZteiBJ9yOtIpuc8sZUeNMF 6syMY9rrMCgOMFSnooAfLgXdziRtjWxqRiaQSDlPxCDlzTLse3IEP7XMc3GiazmVKXVhNZLBisJt H6DSrVfGXZojbI10ZTFNl03aPbp8hN+DUqZOcSuvtrjaXw83w++pSTtR+8htU2ueDg1Qv9+cxdOk SQ2o6dIsRwru7+PkbA/gCOvFBqKSzVImYrgQ29s4qTsmpzxoRkgGbciyJ22fp7bvE+JlOZavJlz0 Ntirp5V7J1Wdy9Q40OmSgFo3GtPInU0HfsmoHGpYd0TKQKAcLyXpFC+JGdu3yNdSojj8h2KMLQD5 NymEtQdzXTZAONvz7tienNZpOkxxWhtpMNnKaZIpo+6fTAbV8FkxaHa+Om2/vH12dx2eVrxuIRUI XxbnRWiGC0rW4bofxFGvI0G8wZsEtZvPn/CpLB9huSZeId9DqGhT+XJkVWemaOryrLQmjIS2fY/u ssR475YhX5HGAmKzLmoOef8g9xTcQ8+1HYUIUaBbA9YkfBctQkZ7VPIi3C0WS/RwiYWU+mXs4U6w rNeGMcRI2B8Dy4pjpMh27BbUBf6xjDfLtXFATHiwidAxpmCdOCimQxo3S31SJ6cZt/aAcSDMgz4W GpVeaOBJZkZqas4Nq8x9Ow7tDVUhYkKIR7J2CAOcgkpFSUmFPFK62huFi0UuRBbJM0y7EGm6m+PM 5ihZv4m2lGmTZtgt496wNJ7Qvl9tiBblSTdEu2OTcnrr1WxpGiwWls/OGGcF98TUrfttsBi/iLlr Jeq9RJqp4nPj4oTTmb7/3fNfT293OVxC/vmHTKj+9rs4J325e//x9O0Nnn739eXb890XsYa8fIf/ mofZDhSv5Bv8f9RLLUx6pZm/T3AMlEn6Gsq5YUzVhhahCRR/rpUZuh7161kdm88lafojzkeXB3xe Er/nfL4q4HabxrAvP34wsu+l8ZE0AwWlDSvierRqmoVtoLSQ+I22QjqyPavYwHJzG0CL/swJMW3N UEbqhxJZvz4/vT2Lip/vktfPctTkjdKvL1+e4c9//3h7h4g/d78/f/3+68u3f77evX67ExUoFYiZ pyJJVax8HDYJYGVCxzEoxBdCLpYkjsJdAXJI7N+D4pkHfEIbqruM6nGSR5NwTVIUdFF16ikqc5IQ 0wxeHiKM57XKTouaKw9imatPhN79/PvLdwGMq8Gvv/35r3++/IWVi/KV1Yn9SsMNyz+n5XGZbFZ0 7j/j5cQZ5nrHyNNzlk1zSkxY4x0I1bxZuXmTpn7DjIcjbt1a+WzGYnWW7WvWXhuu+Y7DLiuWwk0Y uIT2EzZetN7PiTsHNJbGmxDZMY2EIg/W/ZIglMl2RQvXrMvz/lpPy9EiHta1ORikuoRj0y03Gxf/ KLOvOgEp5WwRbbg22F0UbEOik7ooDJbkxwGUa1VWPNqugrVbZ5PE4UL0LoRDJps60quUMjyejnjn ixkiboLzvESRuWcCX68DYuh4Ee8WKdWfXVsKcdDFzzmLwrinJkgXR5t4sSDmoZpv47cEYV1HYzXn M5IxX5X/i0ZalsMa2Jnx33hsJmCRZdDJSCL6Vt1C9QqFGqNboZI6/l1s5f/+r7v3p+/P/3UXJ78I AeYf7mfOsX3xsVUoaQs5FjETao8FDmQ1pIeIbP50DEDSNlBiebHi04BJlqI+HHymUpJB5iOSOlln BZcd1Y1Cz5s1YlL96I6ROPSRsEpnRFE45Irx4EW+F/8QBHkFzFGkf0lqm6muSZ6w3+P/4A66yJzL +GAEFE/AGEmT+bwddx81KP1hv1RsvhEFlpVisdq/r/rQJuzTcESc1WN5GcSH2csvxj/Gx4Y0CJE0 UcOux0v5iIt+9tfJYnrrUkQWQ4ucSlkeixMwtY5O5F2P4uRKAPYMDgYe2h77wzK0OSA/M1jlFOxx KPmHNUoaPTKpo4S6Q6T0q4itFBLPB6KSNj1o4zewn6jom47xdXYrjw5TLXrnq11cnk8lHUpGLX8N aDMoeVw9HSIA8Uf742FtXJrLklpiRDtCAyzFwVMuwmJTUpklZol+JJXU+XuiThnsbYL7OYtj3ZJE Q/jQpV2m2OGCOX2CWeoaPSSWDnGC75oH+7M7ZfwYJySIRaaRMCSXGHwoSaIsRcirU+EYLCIpzwqX dXzOTzHvORnDc3qsE/NDrw7iWE1r/NSadOJiFyGlc9XTj+3eHrxHczXXp9HmjNc1sbZn6IQsATJU nhq7Clv7TOAU29xXMin7ZbAL3PUoUwZvnsOpZDkk3fGDs5XlTlV54308BIQ0rwBHkFnpzdULdemV FYM/lutlHIllKPQ97UEO1iC+h4X1yIeCId1xF5eAhUi0M0DbkmKqxNmOVC/Hy936L+9yBA3fbVdW dZdkG+x6C5xvBZEYV8b2NofJEZJE1dzN9CvjqtSdgnd7PqYFz+sBJqNV3ygt+G1v2JEF65AeQs2i Z901lgfni7M51ExYk8ZzqhPtaZschzYx0y2PqAwc68JpSfCy4sQc2cqS7NHlDn0HS8alU3cCltZc TMd8TBQxK+8ECnlEyDEEYmPPUADBVoP6bEavaufWRD7G6AQtF1pcJqpEO/PB2Ylbl39KO5Km6V2w 3K3u/p69/Hi+iD//MI5Gc/G8TcEkgLIp0aShqjnybbtatzEI4ETR1fyo7Sw8wQy0C5yxlefYBVqP GX2713oiHUHkJ/1YpCQFGG5ePHeFpS2VI1rBKkYt5EBLq9x+kICuGPGOHN2pAgOk1mPTAmwwEsqN yvPwT1YcoxHzqr6BJnY2cbozo9HPoPSr4CeUNNOi5km33QaLNeaQaLgO7daM+NUWTUxtfB5QaiFE pdvGyj3jnCXYjANTbgzHsW7zT56bdNkC6pQjB0jMz3CxSO0nj7hsMqg4C+9knVg7OAJABtH5Bh3R 1ea1MGmml4H67ekjXouTPlIPSDce9/NUJs0vb+8/Xn778/35y2jRx4y8R8jqejRv/skiY6NSyDtY matdmdg+Tee0gqFbxjUyR5e7lNihtmg5nPFoR/T0uW47UwfYPTZHK7q88UiWsKYj3aJNpkOKVSdp FyxJXZ5ZqBAn2FzUje7weZHHNfcFfZmKdinOU5NWdiZ7QIa6lAnQDpB8hp7S6sao474YMOMTS/bJ 30fkXmsyPJxY1WFZhj14oveb5drY90iYNDV9sDXZTm3d+jzcNM++rVkSW7ZCKzpa4D4uQV9O6uOq 3swnbo2HHIOlp5ip9YSfA2+VJ8U4Jx6FxF5ip03BiLMSVODqCuXohgNZBW66GstY8iUxHUxJEr32 JahHweIfN89jyjGX0k4C16uO2TnHoZK646kCo1eY7g0dDNhkOVOeWibD/mCuDQahNQlF/nDKfcuU Fu5NvayS9ruAwobgQMBLAltRmA6aZKh7Rwr5riMZJTQbQZ0gZzrF2+SGp/Gc0o94cyGoGuVSZPZg 8snUHIZq/ZCW4rRK7AVxD05IBpAgslFnklrP6k5Fbhksh8FiRS3LI6v5cygvWLxXYEkfCCSxYg1R BFDIUizW4vzAPKtekq56Q4665NW+rpIhWhkn7KTcBQtjkRG1r8MN0qua/eFx/jNY0vKEr8PS0DIW VYj3o9dk8Q9RaJ8u6WVEkQtwoyNjHis6v388sss9Odbpp/hoDpj6PVQNKOsqsR2XYNufWi9jVJCd PuYdP91akw51ffDGhNM8xxO7pDnZzDwK16biwyTpgA+zyEA7qaX6rhXxLeiTUH6gwokK9IyDYPc0 n4BTm89vT6io1tqjQLlM0C1ceZtOF/hY+uPL6Z4sWXtOC18wz5FJcLDKTM5XFv1qMDMaawDHoJMg VhdIyFEfTYzSa4ZSWxf92jFOkmDWHCgRZSowWNpxwFNIiu6LZaAZ2r7K6F6VHOAy46fqB9uygMOS NzX23pck/wwQZH5xDvMzMbuQnwvcw+Pv5Z5H0ZoyaVQEUZdxdrznn6Jo1dumQ9YDalhEbk43YORp SSkBTLbH1lgT4FewOOAkSSkrqhtnhIp18CjUZgVR5Xi0jMKF5wUh+G7rsxHHfG1d1aQxmMlmrnj5 0EPE659aeaPljlrnzKrPQrIyZAOZ/zZJLVvnmb++p3pD8Ne+04NO05NWByHI3DxENGnFIXH3Lb4r ClWT6wRWbOTNlsHVJqaP0GZhigEmWwoHOGOPjILlLkZCDyBdTcksbRRsdp5qq1RdbFFv0EK4R9rj y+DirOQnj1WAyZamlPmzyVEXYqkTf0xFuaky5RDBIk7AwAMtlID7T0RTKcJ8wWDJYLR8B1+eF2Tw N8SCr+9zvqP16TkPdvQg85JbLuhKO1/GuyDeheTbpU0eWwLF3AZR384Kf4aJK9JgG41JLJaStPd9 5LyTy+TNwT/d6r3Hqm7QBTNcVvbFoWSoS2bUc89m1Nmlx1OHxXSJ3CiFS+TgIHuRaT24J4tIV3hC HBq1nkl1osFwyT9ZS6lChsvaN7wTw5KcaEblylx97lttvs76HGI2xw6hKERXIQKqrKW0cwCHOPRo liSknW7eIGfHmiUthFdButwZFeeHFtI8gr2st5v5HqRl4mFi4KzYKgCYd8wXgRjn/TQB68HDAXxF TUKW94KEIJ5N4TjLPL8TNG/wOVZaZVkCV8VHFGx51J4BTmmO+yja7jZ7u9io1/IU28flehWsFvj5 AgXrGQeMVlEUuOiWYFXRWK3ujPOYJQzzaiWA3e6EnXOi2fNRIW6KE/e8VdF3dn3Kgr2/sEdfGbBO 6YJFEMS4gfpkQYNCnLMIUkR1MSlV2o2aCV3gadYkaOIqK6lBYNaDIJBS95GJVb13pk8XLZa9tzsf xkdQEoISL/CjtHBggUImoN4TthNP5bwTR9ne1LqkLRNzJ4+5MyUakGxDT0VA7eIoCMhiq+hKsWiz JQttdp5C57xLOU/xy+vl8SC+9rA9qLtLPCnEmWS3W5u2pKUKI3FGMe4liJyY68y6DRnLtei6VJbL uz1DMbIlCpfSVY5WbUmYNKkmqKPJGZfoAjzmYMaS0mGnJYflhiIxMfAQDDAnTbiAoY71JQYulzcP q0WwI+fqyBAtNlT+GEnWKttpBRbYXfnn1/eX71+f/0KL79jbQ3nq3TEA1Iquh0hjSrMeb1CYp4SE rki01Hb/3LslCNrQNzGyLiX4DXGwIRMYIYUmL46mwAxayTFIRJpYBGm/ZmHgqSL/txn79fj69v7L 28uX57sT30+mztCO5+cvz1+kJwxQxtjb7MvT9/fnH65p9qXAYVHg93z5Vorlh5ZyTDaPWy/mKcmE LyaPcRM0bmerJfoBnxPOGwDYiadcUgZxTBw4pzQmmJGuwl9SBuc6dbXKEI6bJGhSE+Ojy4ZZ37Us J2RXj8e4ph7Jey5BxPEpATleWhyiGUDfPb+g2babE3TtVWeOay+suZw2apxqqSbdbK92B6CK6sFv YOWjA8ZiZu37RVR1rYo2LsVJxQwUDKa21mEIsMxarRGRCm5qkJO9sYmY34d1u8Py1vo1YI8xs6yU wm5+pTKrsDhV3/hQtQxmPktIm2nbMerifCSJrSGvIBQPVW4iemdBeYEk7ui2RUMypARZooju6a6U yfOQ5qbsthtb0wwQnscA/bUI8e2dAp0wdgq26vsrpPlCi2+xtIBgTRYM1phvpwBydEkdK8HXMn02 m499XdiT5zhUzFaGtV0RBdECV1TI6GTUPGm7SxSZpcVPa0QUhiyyFRQJ8XRPgil+/Ih7Ikhqhm24 TK4yRGFAXpUrsnM7YcAepT/qSNKtxOTg2Hv9EoQ3R8fM5XwpgnAd2L/t8AiAko4cghCZ12qXwooE Ln+71c2N+fSYeLwiTC557k6rioxLp9QbLXvEa57GL8VyTQZcmGNoX1Rs36kkGAwPsKBQb4xlJNFG uYBQWpTEzO8IvyDdiIsMlj5d4nKB91Q6ZK1VixA8nRroHCjigxEThD8aa4d4o97Yx5p4uVh0tbGf ZKwFj7EZENXn+Bc4ZsxBdCAtpbQfMGTXPbbIhN9KcAcLBup4V/biBIrcM/VN8ZBSS4aQcFeDbZAg Tmc4bDOEKZnj9Go050mFf4mFyVSAwS8VR4tgE2tpkhTpBWnFS12noWUA/oTTl1qKWgQ1XpCleP8H 0O5+f/rxRcaFc04pquwxi9FaOKGyj22cncuszbtPNs6bNE0y1ts47MeVfUSUlMtm49F7K7ro8Y+k kZauuEGnYYVxhtNDnUunU/Jv3/989/qYWvHZ5U9r91ZYJs70aVlYAfoUDZIp0ZmmFJ3LHAr3KKyc opSsa/NeU2RzT2/PP74+iRMkyoOCC9Xi4IGCbGEcAmObh2OLyuM2Tauh/xAswtV1nscP201kv+3H +vHay6ZnomnpWe1txoj4IlerAvfpo/SBNzt7xMQJs1mvQ1qRjpmi6GeYKIPTmaW739PNeOiCxfpG K4Bne5MnDDY3eBKdk63dRHRkmImzuL/3xAybWEBBcptDTmtP+sWJsYvZZhVsbjJFq+DGUKhP4ca7 ldEypO2TEM/yBo/YgrbLNa2umpliWtiYGZo2CIPrPFV66TzX9xMPJAME2efG467dzc4DVxdJlvPj tQiIc41dfWEXRquYZ65TdXNG8a5saNF3fkuxyNH2ucY8WYqP8cYc6Mpw6OpTfBTIdc6+u9luUNYP HqOXmYk1oKK/zrSPaR/MebZ090MjDlPehVMuvmjbBEAs5qRhkqTxtM1Z4ZZhTVOkspPo/VYywV3S bksPieKIH1lDGjlJagpCt61ERhRv+gqLjZdW3GmL8cz7vmcejzHJYa9ouJceK9bIGwqytTP5RKry pl2PCyZ0wB2xgVWsqOkvc+ZZUvb2MznJyarjet/Sbz6xHLKQMhmd6S22qEUEsYrdqP2Ui22grCnJ bGKSKiCUEXgi8TxJL3llxbqZyF2ZeIwIp7qlKdG1pwuBus1run6IglLQBh9zE4VomdbtnqxAEveM tFWcmSCrnXlQmN/vkifiB0H5dEyr44kRFMbFMTQgWwPC1+nWkPUNuzrXGg4cOEwxQRyyjGxD07c3 hizjOdv4v6UO4iwgZYRC4AMEJ5jY4+dgcuWN75LB4DqyShxZ6Q/TYLvfix+3mJr0wDiZ60QzqcVY TMa4LlfuIUEux0qupm/I1SYgDvOUhqjMbYtWCeGo1IBY+hOFldRYSFK2WFoVCES+Sm3hYaKj2Nn8 ZrIxjYQ2slw4jcqW1G2gJjGXfe1nX6+nC67x7Jv/Wt/ZwWnwSxFBky0O+XPIo8UqtEHxN/bsUXDc RWG8DRY2Ls7bYhu30SLfK3RWdUiczjSraNr1i6hNQKVKq4MLtPFAPoU1e1q0UGR1AjAfc7K658DK FHfCiAwVF6cqAi9WBJiWp2BxHxCUrIwWahnUV6rU8E7OzdQ5X3lM//704+kz3GM6AWO7zliZz6YH Sy2meiFDole8YGN8yYlzZKCwgRdpahz1jxeDe9YcdgZh2Isdkr7cOVV5v4uGpjMN6sZbJw+oQzmH 642hfpQZNOD6zfYjUzGdnn+8PH11dUZ6VUtZWzzG5j2CJkThemFPLg0PSdq04AeUJjIunXhVz3Qb C6hA5GRdwWa9XrDhzATkDWxl8GcgklBikcnkDCJqDArhYhDSHmudUI23W1amkIGWWpFNrqqVud34 hxVFbcXw5mU6sZAPSvsuFXIXGRjDYGNSlTec7Tx5aCQvN1+r7cIo8pinGmxF4wm/j7rIF7RK8dQZ GfdGxel+/fYL1CEQOaGlhYMbWk5VVLJ+GSwWzjArvCd6AzqpyDsyFo3iwLu0AXpn20czYrTGeJ7l 55RogCKMdfmbUYD14QNRgSLcroDHcWUaeiHY+y48DjY5BwtDsh8mMvVmU1Hr2OhjQ/Krpur98WPH Dp75bHHc7ghdAKcWdmkwaVTiIfuLNZn27JS0YkX8EATr0AxFRvASLbPZ86zf9Bs6ULdk0FZuDXfS YJIMP9Eb2Lt7Rn+qKCxrqpMCi9g2odO7ApvXwTm0m6ZmXEzmxvNaM/F2uyRvXkGQ0Wu1zRy3q4zB zl58aDJ3aSx2XGrDcJl+Zshh+/gULKkbu/ELabDe3IDpB4whe7AIYK+JcdcWjq2hJqpMXlVCh/6b lJJI3DJRJV9QYlI1HDjpdlN/qkvTnQnyi3QdsgqV93BDW5860mVVkTmyKD+exxRExFvCzQid7lLn oiDanzdlDufQpCDbIMh7bVGqlCgZujoUEmILXkwlAclsaEIiL1OSaiUnnwmsTCh4z1bLgCKccQgI k+AJljWzxGLSYMOtmdbnzTH16LZAgQn25M72rm7q7z4TIv08Wo9VLK9LPMIYmJKUrBpWC48zxszg iR4tjvHhipZ18mbMfU5+Y972TyrLCzsbE0BMDTS+4vc9AqozyucCRgLT/B2rZL3C0zOXZ4K5Ljul wbEhb2DF/D3ExxTUWTDn5qq7WPxp6NlpwpIv504ML4m6bGhnN8Ahbs2cEyMFdMjSVBR9/AZxvJSm FgGDrTqd68484wCx4jEGyCdRT0AMcUtJ/EA5d5Cktq37R6r5vFsuPzXhyqtLdxg5GatdLAaxjpam EbHzF4/Ibn1ExqRXY2JOd7LOuhk92O0JUrI2tG8+YoIIuSrlnXtVL17RvaFHeVniRuadFufJNj3k 5lgBKm9axFDUGAaraTMahcSOghVdVAtQ2ZQrE/TZ+ly2K/795TvZOCHW7JW2RFRZFGllRt3WlVom 6TOKjNhHuOji1XKBsnCMpCZmu/WKMlHCHH+5tTZ5BTu4SxAdicEkxfxOK8qij5siIRe4q/2Gq9LZ ET0ZkKeLoXFEoDb29V+vP17ef//jzRqD4lDv885uLMBNTAVUmakoaqH1jOm5k+IJ0tDNs0BvSXei nQL//fXt/WqmV/XQPFgv17jHJbhZEmBvg2WyXW8obOCrKAodShTgmwQND2VD6f7kYhmZ0TIlwuOj jZTW9wSR9VcYquTFTWg/XcOivbuIkmIlj/QmFx/ICVcpo9fv1naVAt4sqVOQJu421mdmyTQaarDz qxxdmfqCSFMta45LN8O1XMT+9+39+Y+73yBnoSp69/c/xOz4+r93z3/89vwFfC1+1Vy/vH77BVJJ /APPkxjWYXfZSFKeHyoZNhfvpRaRF0iMsKhUEGKLZc8ehXxMGnXblaEUF4KWlunZmoj2sWHEUC68 mnZPl8u93z5CTr6YkRohg6W9X/butCk7X8wTQfYkDE//ElvhN3FQEjy/qi//SfvJeOZJx8DKgLBN q99/V8ukrseYMHYdxJprzhZlxwAxKavUWbMznpNrtXdls7qpO5F3eUByp5mEdD4oigLJtyCHpjv3 IFazN2DozALL9g0Wx5zAeGE7AVW+NJN8QQBugUCQ985Kk3oxCNThG1+8gbTqc0oAmvsAiabuJAF5 rnx6g/kVz5uLYzcn0y5I7ZGhRwGsVykZVNwMTJu9D1Er/EHd1FuNn77zvpfBl/1Pkz3xtBVR58NF ZTI6WYKggBYSFDJEv3usQVR9BXbDGEGsTBSg1pNyHMYBKDUkIq9I71hBbXqGcubMmHWjIPDRARej PA4isaGZQcMkPKqEzfnSm7HaAOnB38OCrIgBgH16rB7KZjg8EN1nRYacJ6Eh2rkadWjNLD4D/5gv Vs9ea66KP0r+Rs+eQy7TKXaBpyvSTdgvrN7BK9EEyROr/RRFUREaQWnTtTW10cl5aefv5Y2pdjpy /AMdQdSVtJjBs1D4NkqNEv76Amnk5n45yiDj+HapadwAr03XiMKvn/9NRYYWxCFYgxcMnPdoLYRT fmyBc0oYc2ZrwnBo61NjnBkFjg4xBj8cFbJTFVuXp1CT+B/9CEWYF125nOtnkwvL2C7Gl9uQEmkn hr4JFzvUsyOFjIQ6UhO2W2xCqlwZN+GSL6IrhXleHbA+cKL0wZrMhTkxdGXW416TD2X9drvBAaNG WnsfLWjr4JGjjtOipuNVjyyU4Ocwxce0bR/PeUrfC45sxaNYpWtfLpTpiW3d+4xkpweyqqqrgt17 0syPbGnCWiEF0pZB05Cm1Tltbz0yFftRx/enlrYfmj4IGQTzZsty0fO3eD7CVWx7k61IL/ntdvFT 1eY8vd39XX5wHyoXlPb52/Pb09vd95dvn99/fKXiRvtY7GkrlqJjxQ7W0jb29MNJbFH7Nj9R0jvs 5mjL1oA4O/AOsimLDV2M1Id1MN0Q1Zl1dJJnDZypfKwlbx/0FmytOh4pQlY1ZngysdjaziZwOFMK G0l28vhJVJqnL2ZV1PMfrz/+9+6Pp+/fxblRNstRLchykHpvlKLQi49iIW6bWPcaemqopnulQElO LqyxBsWxjFBHvA7+WQTU+dzsBPNUisgtMZbH4pI4T8o99s6SKOO8nenTnur1fbThW2pJVuS0+hSE W6sdnJVsnYTg/70/2TTnDl/DtfchYl7FplJTguc+Wq8t7BInu+Wqdyp3z6zOmA+Z3U2j6s4/z5TU IQSFXzQVDLCuzMRsG0RRb7U57yKn+0zF0ogsg8AuqiPr2igPNvEqMhV4V9s46Wck+vzX96dvX9y2 a8ch93NRuCf1t2bBBkxq/opjD3lwN771BbUChO7wavxaG6QCeOkW1bhdlGDy+Ctphixa+z+Srsnj MAoWtk7V6nC1rGXJTwxEaHfNPtku1mHkoKLdQXlxV2CQ39aUYKhWhWa5M8OFaDDaEj04il5XlhDJ 4fEJU9PbdpRBvaf8X5wHdw0XlUYbf68LehjYfSLhaGN/SxLeBQv6MbvA21fdQ9lHG6fYpYyWdlzC cUVxh3hKoXt96F3FtRrmLiKdy1XvCymrttcTiEwCMd+HYONSUkUKVxapTeJlGLgDwWuIc1Z47CeI t5rOws7b4orFzh2Q0ZHGaQVpyjzLAemxrsjxchlF9gfU5Lw2E/2pfaNlwWphfwilEMy1of5oI+K+ Cx64w6FND6yr7QeU4ix6MhQdFzOSQDCoXU/2S/DLf160PtJRHAhOpTiT7oJmZOiZkvBwFaEDm0kL LpSMOXPYmuqZwg+0FpVor/ke/OvT/2D7BFGlVk2IU5SnNVpDga76Jxje0MzfgwmR1XyTBOE2EtCv kCsUYg6oxBe4uo2nCeGSJkTeRmP/AEyiPSwxz822LiP6yetFTxO25neDCYHn7dLFykcJtuZHhGeG cR6SmT5kxlJKMSCp/NQ0BbIUMHGvyhkxyejwhmoBYjwCfYbEwhLtwvUEz90uF/sBptCJjAij6FZ1 oMyzMdBzQWBO2OUXGzNTNOvE5/YojmtdtFutmUuJL+ECpdTWOIzOZkHjkQ9Hmwyi0MEKRha+pwzB xrcSVLM3Icb2CDo17R9CT/LbqTlShiFegO2CNfFiYviCrQo/7TxN06hdHrGEphA+vpYQ/8RgLZcu Rc6YBQrCMZJAnAq3tKWVZvF6pM/Vyy680uNFt9ysA+r58Dqr9fZ6C5K0k1eQinuzpl3ajSr9gh5m 2tG+6COTGPxVsKYG3+QI11vqzYC0JU1BDY61qN4dLyBEZuxqk7CLCAIv98vV1sW19Ll1p+GBnQ4p mLOEuxX5mY0moFfmYtutF9R8azuxNqxdXN6Envi+SVzaKebBwrxWmd7ZPlPMhN1utzaW9bZad5sg shcza0WVP4dzntiQvuRU+iblr/D0Lg6nlN8N+Nrxge3z7nQ4tYZywSEtCVqyXQYrEl8FyDsRUShd 9sxQBoswoOoEwtpH2PgIOw9hGdDtK4MAf8Quxy5cLahau20feAhLH2HlJ5CdIAibkG65IG1pI32T g+pBvtwuyDp5LI6itGg08fT5kLHq2gWX5ryPIFWZ+/j7YEETMlYG66MrHkyPLhNIJ9Ee6BANExvE KeAlrZSbX3XvDYo/sYAL07UO7vqGGLRY/MVysWg0be1SE27ds8yEwOp7mwFiTfOyJAvLvVwMOe3j opjy9T1kvyQ6fhsIKTqjCVGYHSjKerldc5dwMC1bR7CMg+U2WkL7qNZnPD6S12UTQycOS6eOdSn1 xGIdRNjbaSKEC07210GIdFQQCoMeEhUq46LKpRzz4yZYkuOar9c3JhqYp8AXcW3okJZzRD/GK6KV 4vtpg5CeZBDsTIg8V570/yi7subGkRz9V/S00xO7E00m74d+oEhKYpuUWCQly/WiULtUU46wrVpb NVM9v36B5JUHku59sMPGB+aJRF4AkrxTGUE+69JeIiJHYP44MDpiyVyKH5YARnTN2gSWPHPjBzmY 7Zk+ZuRFr8ThEsqUAz6h1DuA0A+4FlSOoUTIt3z6ulViMoTFlnh8OjiSyBPNTX38hChghIh1iEPU GhDfZ6bK+b5DhcWSOCiR5oBnyi4ihkZXwoj6JKkcy1DC4lhnGG+QvsMd2NrE9+gIN2NC2XbF7GWZ 6G+m6bx1AGqKXs9PU3liCBU0SlvpzydRlIYTeIGBOvAQYEr6y4BofKCGFDWkhgns7ckhWRpikgkM 9OZrYog+qnE0O+TLiFgDA9VjDrEI5oBLjPcOIBqvSsLAoVQHAi4jlei2TboTvrxRTFtVxqQFBUA2 LUJBMKfFgSMILXLdiVBkUafKI0fFXw6hPuYXPRGlpKtSchoZP6DJuGxnvmEPwChBXeJ7HKtMB/Jl eUpWq4rIJd821b7GF+zkV2tGvHY8NrtkAw58oID+uGo8lzxmH1mawg9h4USJFPMsqv58ggxCckB1 EHpm7It4XniA1wltohn7CYoQ/27GsUyan1kBaUsvs3j0dAmaPKQL47iuSy4H8OTID+d2nmUFzUGN ymMG0yuZaFs1ruXOrhOAxXP8gNiF7pM0sixitCPAKOCYVplNTb+fC9+2yBJW96U6fSkczaalOhbI 1C4cyM5PkpyQPd27Usyq3bTMYO0wr7sz2DG41tx8BBzMtggFDYCPR7lEqcsmcYNyBomIxu6wpUOt MmDf4vk8LEGpvjgncrC5VRbncIix3LRtE3h0M5el/8EqEZYMNgvT8IPTlyYIGakuOBR8cBYATR3O K8Bt3NlHEnR6igDEYR+cQbRJMDcBtZsyUePH9EhZ2dbs8EUGQqg4nVjTAN2lRA3p1HgCumcT6R/y GB0d+3MRrdwA+6FvMIIfeFqb2fPtdmhD5sx1133oBIFDbPcRCO2UKhtCkT23e+ccLKVTpdZYnE4o qY6OCk51IhQ4CpgrWjomkMjjb+lqwmDdrAxJA5ZtKMe/kYdfVFHijg+PlbZ1GvcEw1GtyRVsHGPo nMqPxOaHYntn2aQ1HF8tyvE8exIGx1ZfBtd4mjZucwzARwap65myMqvX2RbjRGFJd6sVnlbFD6ey +c1SmZVj7YG8W1FFvK9zHgkPn9yr5oqQZp3X13p3wPfEqtN9Lgc+pRhXeE7XbGKDexD1CQYs68I3 zn5iTp1gnC0vMqA/Df/1YZ4fFA90zMBO4ml2WNXZp1meqdP3hfaGvcaFlqMkw2D4NF8ebidPsfRB v2+X5wX6u72cn0knNz7wuFAmRWwIcdkxNbvklLaNMS8+UIHVca3jB1kiC12t/q5+Ni2t9MlmNjG6 EQY5u4/bZJPuxHd8eor2BPkIbHf38cNuT5vxjlxd/BHuen/KtjhIqUlgZMeA1NxvBhL+zSLS4+bP WrPfn2+P375c/7mo3i63p5fL9cdtsb5CFV+vcruP6VR11meDI8KcoClWfLNbtUSz9dd5BNIfvtOA 74iAKtgDZDK2oj6VgC7iZL7N24SOJjsdRenlQ+tjy4/IXO7TGFohpWxGenMMPb0+7JMOfM7zGs1W iCIUR8xlIvQG4nSj3ZMNNuLDPepMq+KBoXOkyjjqIypnEKn9fN5Ni3G47bm84+TTPq+zvr7jl3F6 wMdloBuV5p44irxE//5ZhsC2bCNDtkxOsKV3DT3KL4DCTO6JpsKHhWGxLd5iQTqrvK0SRjZTtq93 VE0GfbYMIEEpk3xZxo1sDBSvYAozJOA7lpU1SyWNDPdgMglKTVDGx6YrNUYNXrDYbGVsQMSN4Kb6 QDYSfBXJ+Dk/7rMdQ523B7kLfEutLEzqntJ1+NZqb/SuihtiTrAMZurT2eQaYdysGDRDv36WSwPU MAh0YqQRyzjZfFaqAhKXVbDFpvVov7LOcmNpt3mEj96a4SSwUGeQFcK4aDGz+yINZsb/+OP8fvky zSTJ+e2LNBdhaN5kViQgQYPbMkaF3jVNvpQCITZL6R+MuyZ6wvOvknyz4yZxxNcDKhOHByWXdZ6u tQ8wqNRsigODTO8iRY1vM9Ify0ySfE6owVmqe8ZSS7Z/TVNkWqKzqujmw6ldnZLckMaIi6WaAFgn mso0VUr7dKgRvkuflIbHNkXGmaoPb7pNIYW+/nh9vD1dX41PyZarVH1RECiCMeS0LEd64wQ2+WRZ D4qHkjjtCV4VckJxy8LAMgdg4EwY+op73Sux2TSeTZGkiVwF/t6EJbrGc6rguCGmgt66R4omB4Ti rdUHv1D87xAqMc4UfRjDGwPXdg7phTugotklptivIBW3eQExvnkxsFC3OQPoE7mJcYF6mmT0ibR1 3Gb3u/pOMergTZDYsIo6kkSqGgM0V4+yYj4zvPYM8Cb3XdDEhtdONm1yquImT4R6IQ0yrIpULmc3 Z3zax/WdGEem5yiqBH3+ZELnUkbsGNXiGFhOyaa9/6uMKYaCMPRnx43xjtUmnhB+ZvTh96qa4uin xmf0RTPCv8fbz6C9dqlpSw88d1lJO6YhGIZVGVqKmHVETy0LJ/ukN3s3CDv7W0UEJ0d2jaqKd0cN fYoaOQQ1dHVqGFl6EdDKXVcaQI7oW48Jpy02ON76DhmTdwAjtRzDxk9aoH/mwdwoUyOu9BCTk8Gd j0wRzLWFBU9HM1igjbDqCLNPlrZr6ROEWIDRbUokDga8UhvVidd6IXVrxNG7UDzC56Ruw6im02TJ XIma3A38o3Z8wqGChYaIShwuPfmGdCSajdU5y91DCNJO3VzEy6PXN+BUt3iJEchp4q5Veph7Dw7L Cfjn6fHtenm+PN7erq9Pj++LzrswH14OFA5MhM0vsBiVe4cqESQn56+/nqNUasWpGWkthplxHO94 apskVpcKo1em1LToR0DeE/cJFuVe/aSKi5J8XhqN1m3Lk+61OjdL+mSeQ4Ei2oNfppprR49MKkAw mNc+C2lD4aGGmmOqAHi+aWWh+4eOVMk9dKRGtkVSGU3Vl2QjItkG9ghMK7KJd3tfuJYzs/YEBt9y Z3UPvjscOORIL0rHIz3EeHlGn1uROHi6CjTFC58nTBlg8pVqnX/ebePZNdTAQ4dr5VUqQ1edgdVr q4mmPW42Idp4Vlg8a7akwBJFhnfiUDPvNiUeudq0a67I0jtZGD5nprHdH9hpunClNsQYFEFbRvUX er8JXniz27EhhdEERz5i7IlGd7uJY5Uf8XGNXdHG64xOBONo77t48M2+JJ2cJma8NeKXRiM7nSis ydYwuGfT0tZ4E4T7zdD3TJDslydgqedEIYksHcUQRsBMsZsEFmU/OCH6tlLAVL8eEdL2nROoLK4E oNtqUpC6WZQR34w4BtGKI0bORQqLTX++iree45GbTYVJ8hCfMHX9NyF5U0SOIdCUxOWzwKZM9ycm UM2+PKEJ2KBd51OApUJgUxXgCNns3CHRlCufYj/IEiZbz/B5N5/Mfw88fuDTCcw6K8psHhkRQuJR dlgq5pmw0HcjY/lCn9zdyDzSZkuBGKlXOOQxc7ZRQNtNq7X6S80SGYZdt30kLY9UJtGzTcD68xPl tT4JD0JT7gCGpKmzyFPZ0HOkZJeV59p0saow9CIT4pPqs6w+BZFBfmAba1I9iDFqvSWzeKReVvfH E4KxaVzPMIUM29bZXKvV/nNm0xNedQA96JshWklyKKKh+5Iif0p25RBDkqgHh/G5yQP90MjEWcdN tcQofBgRc3pb8hS3GJyUynrYVRPZ9rvrD4ZX3bohaQYtssjuuiJSHmhZaoo1Xl/SmLr0EyDYaFs+ uQwBKGSuQcNzMKAMbycetA22QYrpFIbN40dJ+MyhJarbIDKynfStpoqF5ADnmO2QaoHacWootfpW mVxzsTodYko++mApo28wJUzbMgqrZzU0qMah7pkkxKXljo/DIl7mS+lV4Np42pT0B1FTYkjZ7tp8 lUthLzIe6FQjnGAo46pp+7uwfckwCD4yENfgPMNN4JALZw6qa1UkygfoPOkskc/58L5wXzRZiDCp EZCljvNts4nT3b3KJhV+KjhFht1RoUTBHvBlWh/40xBNVmSJdOHbB0X88nQedm23P7+Lr3r27RaX +JQa0XQd3j3afWoPA4uxEvg+VwsbtIlVT62OMZIUkZJas7T+ML8hEKKp9Xg4FbEkYwA/rU2GDw95 mu1O0oMnfSvtuHN4IcpoelgOsszb+vD05XJ1i6fXHz8X1++4XRYau0v54BbC2J1o8tGQQMcezqCH xfOhDo7Tw3hvKgHdVrrMt3z2265FD2OeZpmVDH7kanJkdb/dpZnYVlSdBMESnvHQaqw2HLaXuVlB qXzaY4d1Ve0ME54v5/cLdj7vqW/nGxoFQtHOfzxfvuhFqC//++PyflvE3UFOdqyyOi+zLQilGIzV WHTOlD798+l2fl60B71K2ONlKe55kbLNWpmAL0nFaVzBmG1+s4XHZRHsI2V3HUStXTgTf1sGdA5a o8IWr0E3ZtlyDLj2RaYfrYzVJCoiqoTxzLurdf/+xten59vlDRr3/A6p4Qk2/n1b/G3FgcWL+PHf xBPzfkwm+cy45QK63K+YMgdMdGKAcDrI6070aJuQtOzEKFcHQpdeGRewQzZ92Gijh4+DtlpLI2NS NZ0xg1oQUKKr7JQkuTaIe+M/seck4JQ0OaupJZLO1h41HcADOuiJg/AY7JwQnQl+inUd1UNXVYOE zrQIpMFVr6GtDnmp67q8iwKjlJSTDROnyIEDjj/b5rtaXqyk0k1Az9GzNlZOLD45tuQxJAyr8+vj 0/Pz+e1PwmKlm07bNuZX750J9o8vT1eYih6vGCPwfxbf366Pl/f3K4zEM+T08vRTuZfqyt8e4n1K mtP0eBoHrqPNNECOQtm7cATsKCLjlfYMWey7tqf1G6czIsWyqRzXECWil+zGcSx6KzUweA4ZmWGC C4fFWpGKg8OsOE+Ys1SxPdTTcbV2gfVtIDpOTlQn0iS1YkFTVtpQbHbbh9OyXZ06bDKM/0s93MUR T5uRUV04NHHsD9F2h5jiIvu0ABGTUFoUlgxoFjvT5h0HfX40cbihWVIQ98UIfxIZxzIFhXqn9GTq i2Ub2pEuc0D2qDOtEfV9/aO7xrJJb8ZejovQh5L7gf4ldElAOyiJuCYo/OQzkK9tZWRW4bWHyrNd PVUki+eUIzmwZLf3HrhnoUVfVg0MUUS6qwow0ZxIt+ck7FAdYS9mbjVQ5RHjW3dBpHGknKWBRIyP wA60ZkmOzBs0nriiJQfO5XUmbWaSAPJxNmE0BVqndGRN3yDZEQ1yBHJEkj0xwpZE7keNNnYjJ4yo R6p6/C4MCYHdNCGziDYc20tow6cXUHD/urxcXm8LfK5Na8x9lfqu5dixXrwOUrWPlKWe/DSN/tqx PF6BBzQs3lYOJdD7zQ88tqHn9vnEOpuStF7cfrzCenjKYTD+UKBubfD0/niBZcHr5YoPIF6evwuf qo0dOJbW26XHgoiYZunIQ30tW9hjVHnaD/9h5WIuStdQ55fL2xlSe4U5Sng2WBaUqs23uAEvtGmw zOOqopBN7okvMvblL4/M1iYLTtVmXqSKh+ETNSBTiLSBB1SHmjiQ7tEXdR3D7sB8wxvHE4NHXWdN cEh0H6d/kHHgmpXl7uD5rlZNTtXUC6cSSmx38JUIndpnugrjVI9KzPMNwRIGhoCRMa1GWLlyHOn+ bDsEZCGDgGqdMNQFcXeIyJaMfH1S3R1sJ9Ql8dD4PtMksWyj0rI0Pc3J+godyUokrRGoLNLTfcRb y6I/bG0yWP2IHyx9HuFkh1g4IGCTpvS9Aqgtx6oSR2u17W63tewBUlP1yl1BP1zZMdRpnJQzy4b6 d8/dEtVvvDs/pi7XBVjTtkB1s2Str/G9O28ZrzQy13kqNWvD7E4TksZLAqd0RI1Ma1yujAugUR65 w3TuhTNNEt8Fjr7KSO+jQNe4SPW1wgI1tILTISnF8kqF4qVaPZ/fvxnnihTvYbU2RmszXxMSNHRw fTE3Oe3xoYC5OXTd2L4vTXraF8KOHbG4e5hUSCk5piwMre5tu/qgHx9LnynnzvstPybueuzH++36 8vSfC57D8YWBdiTA+fGV1Up03BEx3J+HTL7UVfCQGWKDaXyBwRxeyy8gHWZktigUwzhKYBZ7gW8b i8xhg/W4wFc2uUVepkpMLZM9ZhRMFDQNc4yYFJBLwWzHWLVPrW0Z9kAi2zFhFjOYx0tsnmWRxq4S k2tZRvEojwWk4VFHeTpbQNza9Hjiuk1IbgolthhWb743I6sgW+Q1qsi2SixpWtIwNoM5H2ROTYci W+ZK9+xy+rAINYlTGNaND5/qV1Fd7vs4UiZpWQMw2/t4RORtZDsfj+Ea5gbz3dnY445l1yu6uJ9K O7WhOV1DU3N8CdV1pemMUHiiJny/LNLDcrF6u77e4JPxBoLbmb7fYKt/fvuy+OX9fINtytPt8vfF V4G1LwYe0jbt0gojYZvQE33JdKUjHqzI+kkQbZ3Tt22C1bdFYeSXPDBa5IBPnBqGaePY8iCh6veI d1iL/17A/AEbzNvb0/lZrql8aVQf6aA2/LS619YJSyk3DV6DvB+SYlG3YeiKln8T0RlmLyD9ozF2 hlSK5Mhc+jhsREVLDp5Z69hK/p8L6D0xdthEVHva29guI3qayY+SDVJhGU6jx88iav8mCAUlUwoR 51crdDQiFD/0dVYpmC4SD1ljHyP1+37Up7LxzwR1La/nCukfVf5YHx3d5z5FDAiifNo/CBdp086z bGCWU3KEEaJVBZ8VjG1fTbtrPHklMkpmu/jlrw2fpoJlikk0OXjUasoCoqGAyLTqoyA61JTSj9xU TqaAbXhoUzLiKqXYHltfmdb7YePRj64Mg8Xx6CN8XqB8ia1fLj/koI6WejxAXC1XT6dDEvUMEb2W EdoglNsgXkWWKttZQqp4x9fkFRbxzFJNNpDq2qolR90WLHQsiqh3OapTeunGuyC1YVrFS/ydSSH3 +wtRzyb9pGCc8FA7hOpY6lqNkfKk6ttOzQVDpnHbQJ7b69vt2yKGPejT4/n117vr2+X8umincfVr wqeqtD0YSwaCyixLkd5d7dlMnTWRKFnfIXGZwGbQ1uS8WKet41j0UkdgoM+bBAafOgDocOhHVZJw OFvKZBPvQ49pYtBRT9AyhvR7hoNbkErD1tVa3qT/H70WkbEq+7EW0kqWWc0gATw3eX7/r4+LIMpZ gt4cWsPwVYQrL1Il4xoh7cX19fnPfqH4a1UUcgbSQfI05UHtYFYgZ0MORePIarJkMPUZThEWX69v 3cpGzgtUtRMdH35X1PV2uWEeQYs0WqUOQ05ThB0dPlzZOXwkG3uzQ5XhjHt+hVSsm3BdaIlzsnGK jtslLFtV1QcqxPe9n1o5j8yzPJPA8x0Q0+QOlbijFHWzq/eNE2tjqkl2LaP9G/lnWZFt9Te4k+vL y/VV8LD9Jdt6FmP230VDL+IobVDGVkQHauhWCMp0K291tB0NT7+9Xp/fFze8avzX5fn6ffF6+bdp GKX7snw4rSTLO5M9CU98/Xb+/g0di99/fP8OClysUbymnOEP6/gU16JFREfgtjPrai8bqiHY3Oct PmC/o724U/lNxm5GAdp0DDjdqAnk7sDw7fxyWfzx4+tX6JRUPTdcQY+UKT7sMZUWaNxI+EEkCX/n dXkf19kJtqep9FUqOk3D/zy4H8ykhM0t5gs/q7wo6izRgWRXPUAesQbkZbzOlkUuf9I8NHRaCJBp ISCmNbY1lmpXZ/l6e8q2sAGnrPKHHCUzOWyAbJXVdZaeRItmZIY+lt6Lx8aJk7siX2/k8sIqJsNx V0nGXAC0ecGL2ubbMXqP1LXfYKv77/MbEb4HWy6v672cYFUypdpAgUZc7UCto3f8VrFxFlJ7WGa1 rHlEqiYHcZ0oWcVNXkDT0lbJvJeb1ghCY9qU7QlAe5Q2JS8kmZLauuT1CiCbtZoOhqBEU0r66gR7 2U65nxWd4PaQgzQpaXZEo6vzxGHy6p04aHmq80OsEWQL6IGoGDgPZDrdXLrtA0KRhZYnPtyBEhHX MCZ3aBktR8BBQeeP5dI1quM0E6Mz/B9j19Lstq2k9/MrXHczuYtUiaRISVOVBURSEiy+TJA6kjcs j+M4p+Jru+KTqsm/n26ADzwaPNkcW/01nmwAjUd3zyS34oqs11EvZIRXOo91j8A0AJ+JS67epKaU d48htWuAxDOGHePpUKSZ7ytLNk9vIEZ/BBFZpYkIx55XPtmNjt6EGDdnB/g9ROZ2eKIG9B4ARxr3 D7S8hsmWU9tcQK+P1pwwo+x0t8pG0sDSNKcsaybccjiAdarrrK49g/zW7ZPQ7sSu5Vnun5pYe6Uz a0o7J5D/kle+Hh+9uWhj6liCEHTb2JpYp5CUBnG00DcXjxzGVFWX5lqOG5FQv7FZaPIJ+dmarSfM Hmv2pRmSBO6+d7aUlLuAVuJIXUQuZccPH//48vz59xfYFOE4GS1GCJUL0CEtmMCQdjeeUr07jxaD can5gl+7LIyNz7ZgDRmWe8HdCLgTQjhxWkAZYHA1Y2no9VTkGZW3YBfWMgqxbcq0Imf/ehS03yd+ aEdCbszdBZP28xuyhhI6kEizj03PNws2WQqu9pntGkDL+gZN3xX0SdnCdsySYLNeBqgx97SqyPqP lgGjnL8izdq2AB3ka5J5ycrZIif99vXHty+gzz3/+P7lw7Qp0YaEtn+A/4paH5xql7NOhn+LvqzE L/sNjbf1k/gljLXB3bIS1tIT+tgdmejN2nrVtcFcn2syB2fTNdVQ1H2lB4PAnwPa7DieQA0E/XrD ZMCpIS2MDKtM+hlvTVKTliYhK1lenWF2d6HLU5Y3Jknk75xZCOkteypBezOJMPyhtlDx+nQqamZV 7i0InUsZeNX0nWlmJlT70dO+SSz5HT5gLYTTRi9xaIoeWkuAU2ctHY9d0EoyOeZk73kNswy2ySYT FsCBkU6JZC3aOh1Owq7DLW+PtcglfPKXsbDxqqMv/mSNPTqkzKKEcWxLjDJ5gsHiSEKPVkYtISA4 +Dzc7ofBFCg7Q34DbYXGfCkciUAINAo3Tdn0200w9Ky1iqibIhqMPa1OxQxN5HZ3uVl62A3SOsjq OtuYScmaaOxPLHvM81FYUdfWKFxaaORSdg27+WUQdHdWDH2QxJ7g6ks/+aqC7ZRhJFAHz4lOWMAp XMgS+UQ13qk1y4I96dVFNV5Y2vtI3dJ3Qgrl8daIoYZEwS+NJROs4/zeUDR5fFE6xfb7PXlZPYG6 ajLRIpv2FFqE910U6Y6UkHjs1PWiUb4kDvUNo3jUqX+Ip2wTbKiDBQmWXH0EXdrvD9jbjXJtZKUQ X1ZiG+6tfgZacndqrqiweXoaMkFG+EWm7n6yKpaxtmCh8/3PMqCWJ5uCPcY0TkZbkyiz2dqZq/Se yKY4QurKE4JKrkhkPGVA8vRSGzGlKvSflvFzTdFMJXChZ2+9RU8Jqd23noHzcWAWDTZX35gf0btZ y7wSQbTbUERLIHIRHKK9S0tImlr+7RqeSto3ilyhMzmdqpuib1//+wVvaj5/esFT9A+//gqbtOcv Lz8/f33z2/Of/8FzRXWVg8lGdU6LeTLm54x80HeCHfkCbEZt4ZK+8fb3DU21NK1r3Z6DMAgdWawL nzwV92SbbHNrcQFlTsDeOaKpdO+CFsU8fhUQrsrQtJAz0Ca9X8gYmqgU8qbjma0plnkUOqRDQpBi i0/UFU9v/Gg3ejzosNdItreD6y1kNcH71CA8kqiFNTBv9zB0PtCjPFkBDKQgXrKfpUWQ4R1WChdT IkDuFeZU/2UlAS1aWqQPgr/Pfwk3273RLfa6pkIS2LVvYMnInY/fZNIqOCXjuck+T+2PkKql3gxJ OyLTEeHKrgLZpp0BlXXjaAiSXqKG4Vs6NA4jUKcGtTd0oJTsQxlew8OTVzV39gAmKpN7h4Py0E8H R5BLeFrKwDs8FMPThYuucNTtXPBzJe+lgMlRFBcUOtaRO/EtHY2HcY47/fnp04+PH2D/mjb9/GZy vPVcWEdHD0SS/zGnRiG3JwXoUi0hFIgIZqvqI1C+c5oy59ZnMAOtfFiZsfBkLJqM2zuTEcpVbchC Yc924tQBrJEB3VBe3mWle8Nme7XrjSUAPv2FJ2GwGT+wk/2ZJMqEvKJaNKFWsDKCq2EtzCQgonVv b7VGDtmhg+5FyUW9iRuQaBgevJazXFth1EBGdaHy9i+6oYOdFmz87G0c+nTp6hI66sTD2W+E03aa bfDElFlJ4Zt2xopeQSW80u8LbE46gp/JxZp/wnU9/hOuc+HfCCxcafVP8kpP/4irLAb/DGjyFasz Ngb1HH0IY5Qgn5yME7anGBnr8dTyvMqKB2hM1XmoWJmTsU/HhGV3hc1UehOZW6SoT7pQOoUibskX yWNHnyCZ6pVlVzLI0xo8+XGUnolDdYJW4xUH9lH4BpcmZRWvX0msOqEnU9lVGYPekTPaiElFA98k wMd2Tpk0vmlKd3rs3p2aM1760odg7+9Dl/l0OikvIcjcrDCNuhm6dHFeGhiKDnGwIzHQnIa+4wWl xQAW7DaBD7l7kWQFMW+yHNTRAyd09OZAIUGw9yPD5YnUhSaYNiSf2a7bYLMlcgc6Wep1u41pehzT +SRBRNO3jqKukDja+7cyI0sc0490Z5YijZOQfis98RyzcP8qTzeIlHLHMyvJpqfsmTyGZPKIZSqi uLB3WAtAdJgCiB5WQEx1pYJ8Z0yKYxsWW7IeANjHcxpAS7kCvdkldCUB2lGmZzoH3fJtqJu+6HT7 1GOme5q0W2nRzjNqEbvficEwAt4coyByTssmaOs7QpkZDnRS9JnkPzGWPPdwswvXlPiM7ULTxG5G 6FBWE5yLXUB9IqCHW6LLc7GPgoSm26esC91+cGGhvigP87a3K5ONJ+r8rKxU9dBeo83qqJkdsw+C +MDo52a/2ROtkEgU7xjVCAnGHs89BlNCXRwbHIdw5yt9R37eCXtltZjZRPbkK+BAiraquO80WHKI cn8IEoxhMXomJUrQeEafpC4TbLmDxD7xnoDd/uAF6PEqwcPdC6ymoicOBC1vwRb0yneYuHy5R4Zd tAV4KyxBb5bQp8yP+DOVqC/XOAiJk6AR8A33CX5tvMM4jsiQKjNDAcs/ISgtmnmTKyog0WaP4r9e chcn5KNRnYEuGQ+/fHS6k0eMHJJtZ9i6GWRvioCsGJDHFERzd0Fsd4q9Czp3aINOVEbwc8nU/YAH ods9o21+LikdTD0hGxj8nXxQu/s73p7GPY/jONJm9e14hChDy1aJ4Ego9X4E6PExgXTrRbmNE2Ka Fx2LQmK6QnpMzs2i44NgK+8igKdjIozJoG4GR0K0EYFd4tzgzRBpvqlx2AHGdGgXrKkzksO+ZBwB 2H3QVUIHm4HvpltynNhhvyOWEc0/5SpIf1CdQdDnXDNLRFvlunzhnW6kzvDKWmPykoK6sJBr2ghn 6T3wuNqaOUXEwnBHPVhcWJR2TRaEWLxdSS3dhFKKqoycFRGbiSWkllPcU7mPPd5AdBYyEojBQNUH 6HtytKLz0mBdi0WW1YVPOkAlZnlJJ+YUpFNqPNLpOUUirzR8t/Mm3a0fACDLfm0yAob9hhR9hbwi 8yMTKewYDG5DDHBJ9xV5WFV9JQMxcyJ9581y98oXht0EkaVgoydIJ8/3RYQBYFYyfS+PBw+JYfmo a/i7mJgWZagbQnjsEDgaPaHU1wptbrekyFSrj35mDqraCiBGYNewBJQ9ZribMk8ijSRK2UhZm83n jWY9Fwbv4yRUQ84tay6Szc7hTsZ10q551a02z9xXuxfTBzf8HI7yfPcBq3+bV+fuQmQNbC0zNL4e c6dGJuY4Xiu7953fP31Ec2BM6xziYkK27XL9YkHS0ra/E6ThdLKojbITMKrCeryMp5s0HPPiql+d IQ3NIduHnU164fDr4W1xWvd0eLaLdF2esqJ4mOU0bZ3xa/4QVvHS+45T/EPev3vyh29zrquWC6P1 CxV6ypMyL4XqRqM0DDNiBrU34fdQbU+G57w88tYRsfOppU76JVTULa97qxtu/MYK/VEoEqFYGd7J oj5yk/DEik5/gqnyy5/kexSTfH60DMMv2PXl6JPfU2HeWeW9ZcfW+WLdE68uphGngV/zSnAYbTX1 Wg8ZilQ+zrTzLXJq0lBIVd9qs2pFfebuiJqo+EN3ajjTTZFActuXxyJvWBbSwoQ858N2QyR9uuR5 IaxkRpukhVYJMuDr8hK+aFtbA7Vkj1PBhNW2Nldyb/dbyfEgvj7RD6ckR4134F7JLvui45P4GQkr Mu49InXb5Vdr2LOqgxkGhF67zNSIzqzW5B0rHpU1AzYwHRVpRhINq2mdTljz6TCIlrDb1hQMo7fA wKF3hWom47Dke7pAMO70gWCl6KuzXZYMdFHwir4glxxdzvzzEqAgaLDwkJfJkqOvmsKeatrSmmbO GDyOCXMWnolrgixK1nZv6wcW4mXq+I26RpJQ3Qgr2IckX2Cm8M2f3aXtRTdbAswJdbp/AehxXR8a EVlTKOdlbc9zd16V1vzyPm9rs0cniiPH7x8ZLNvuwBQwEdbtcOkpn+VyBS8aoWtelBKhPJ2AJk/q PHiRPOk9YyY2r8rg68unL2+4uFjZzPVVl/fAMDjaz5QvncX8ZFAvctKkxHGoLykf0Moe9EJl/b90 HuJErC0kw4jF15RnUtaQoS8aPhw9wogM8N9KGrERnY84a3GZYGK4pJlVuieFeq0uew2ZsKl2ICKk N7///eP5I3zG4sPftNeOqm5khvc057SZBKJYdydC5DII2OVW25Wdv8ZKPaxCWHbO6ZWjezRroeHQ nE052SB5StIBVwlqWceludXCOdJcg6DRz+1/vv35t3h5/vgH1Zdz6r4SGMYIlMm+pB9IlQI00+Ho tVgAjdEBnSpcvv14QWu8ySlL5gbKGSvU8VMJeS7iPiNv5ZJdDdH+TqBtfND2cGipMC5fk+YBv5QZ rqGPzNRB6g6UJrOwyCUf1sa6tfI9triKVmgrd3mCvQFGYMsmqUcNzdncyGSsijZhfGBWbqzpbcpT aDhEU4XiW1TTZ8BCj6kjANUU81mCorWbDbqm2jqZ5UUQh5uIttaRHOjUWTeSWYihk5t09Uydzszo QT+gllQVMtciYsBbqoCR7pvBJI9toqvKbqLDljofnFH98cJIjA0HxBMxlhGOy1LXT2dM9xa1ECOi PnGc+Huq2cemT9mJbN2k2oKe3zDaCqefCS49GNP+12aGhAwDLmFl/Y13Cl1vDz/bUn0kpkG4FRv9 TEoVpEcJlpQ5Bqkr81lIB6aW6PRcdRtuHEHtovjgdv9oqe7LcAlUrVO7lGF4WptapPEhcATFjTI+ D5z4/2zevDqFwVEPoabaJaLgVETB4e40YITCu+uPbZmP5FPn//3y/PWPn4J/y9WvPR/fjDvKv77+ ChyEcvXmp0UH/bc1ox1RXS+d2ogHOvLx9mZxT5sisxtd3OF7W0R8LOrkDpuR3f7olUh053586Mqr +i6gYJW9Z6TiTGR/SCQaYUdUNmPAY3227/58/vzZne5RMzsre1KzASMw+G2VDbYaFppLTasfBmPG BeUjxOC55LBFOeass9s14qRLG4MjbfrXCmEpbHJ49/DmsTZfz61RBqmD/Fqyr5+/v6Cbyh9vXlSH L2JbfXpRUS3RE9xvz5/f/ITf5eUDWpbZMjv3fssqwZUhkqelMmzu6/0O23dO64AGW5V3WU551bMy w9NYW0LnnsWT4QVDvzRC8CMvuO4ViAXBA5QUmPilt4XJGcN0Bvvhj7++Y0dJXwk/vn/69PF37S1t k7Nrr1+iKwIM6qq7QIlVJ5gXbeqiqL1onzVd60OPhpW/AWV52hXXFTS/dz60WEmJ50FerLnWlvGd gXf3hox/atVttK3Xd69U989bVfhb8SPTXUMsNPV4vmQroJKIlcR5SYLSXVWJ/2vYWfl6c5lYlo3j 5hV4UOCJ5iu7S8r8yOwRTNt3zxzvOO3UWGNJ7+cjpdrBCrMlOxiA+LWer9M2K+lK35RbwuY2clB1 Olb3biCjpWtMlxM3lDz8PZoUCHTrULdZThpvIqj8SRjTgJY1Vu1mSDNShvZOVUlCgj+ROfGm1v0p 2MiQ0vKlwLUvq3GAkthRhrQat2gbshygd3QFhG7DYAF0krZraQFGALRre/GwOSDjm2eB1yWrgY9n LSAjVw7KsrR/4ukg0rbX+l1CjnvLtktNdxdIAO11m+yDve0wADG50SVrCDKgPMcIR6ME6Nif3NDZ MOWl6A7T9IfzJOn0EcmYk9tyBQxlfcsXp6B63RAVeXHCML5k/GLFAupOI4ikko56apdbB8pTZG2z jfPK2t9By2oKpt/mZdvtznyigcZ1TKSce53vXboguUbUuwjQJtAaSx4qwHQtBDtruqxCpYfTCfvX v5ZsIVkrj/oL9OJDlqyzUDq6hlv3KyOiHU3qukiPL+fMd3FIarL2hhfCvH1HnRgCR4aRqBWHmRvT DSaQAAMqrfWzalkA+pJTF84mAPrW3WJte31tRFJ5MgK6QR1g89DI0x9WQe8a2w+0NF+JmY2w3iPq N27nejsXVW9vHkNjrNMj8YhW5eYJ+ohIRwHk157qUHLaxe8ta2gN93apMbok1N096UOrsx/ffnt5 c/n7+6c/f769+fzXpx8v1In55dHAJEiOsNdyMe5eHtYJ7zS5dJayAtu7XL82Vr9tH6MzVe0w5FzC 3+fD9WhY6xNssI3XOTfasFLMJRfpioiMXFww19vQiDVpsTPDA2pASCk2Op54EkbU4caC7/UgLTo5 ocl7glxGO/Ml5Yjgs1voE16Hmw223F8RxdmkYZQgo1PGjCfRiNtlgbDvybNLHXebCospSRVBUgYU fbMnKyhTENUC+mq1MN1eP6xa6MmWqlkX7jdExYAceMhbmhzT5B3VCABC+qRw4ijLKGTUrmhkOBUx IWgM53peB+HgihVinLf1QEgiR6nj4eaaOlCa3NEspHaAskmNCX8qJnsXhEei0RVg3cDCgIyfajK5 pUmgJKoxAUGS0YUW7Nik9mhxBzYoaa8wZIx0hLMwUNUDck91Hl6IvIuIGos4pJ6kzdlx73S3D+N4 MFxczZ8E/jyhoXlWn6lpBXGGWQebiI6V43LGa6NQ5yPETYcTcqJbGBLyWbbDF1rxV12G8J9VOApC d/bQ4JiYLTT4bj6jnhkK/DJJuKFNbE223d0Tsc5kgyVlZQ0bmQ4BuQIuKHXdNTPdkCnYBVSPjJjp pMxBaVNgh4020bPZPFc0Jhuuj6ts+iJKq47EIkqOK20RXcN5SM2TMxi5vZviC6p0ag29DMLCuVr7 rIuscFgT8MBo5NCfm7WhdQbt69IQGiDo+Xe3OTxt1KRGrLzvjjVrMzPcwAi+baeus2t5xfPWHh+S rX3MVD6TkIu7vykzE1HMiGUrupRiKVV6GspcBabM7SCjM4BdstYoWLSSOKRjW+os99VZAlmSzcoX RoadHofKXjMpma7kGpTRCzH2BYG0XRYTk6pIQndpKI1HoUvWsPWCFZhaXlPu3wHA95GK5JBS314N onRld1FJ8R3Qsi91cx9RnEq2Hlx1JFl6hY2tV4t/1zP5ihRKaagCYMV3RyKqAbRuQOr5V/Vvwaln SO5ESKvw7nQgmHHIa/WI5wtT5Lbux4gp2nFbQVe37UB72hgPO25dksSUHaFyc29Z2qhNsIrb6mzW 2ddf//z2/OtySsfExbwE0K9D4cd4KiaPyH7Rbi6mjNyC5URJVHYKIGDfWp3FgJ5h8BDLOC2qOBQt GvIdPQZIONlRLoAysHMZhMn2Opw8ARqQ6ZglSbTVL3NH4HLfR9vNsSIyltCOapfGEEcZmWe8y4gs QV4PQUId+mkMkT7pGPSYpm89/NuApG/3PnpCVLlJs31MvpQZGVq23+9iIqVIsk3IaPu0hSUIyIBo E0PewNggc78EtNPcCRdZEOom/ho92rg9qegJTY/cHpP0mKB3u10UtyR9f7g5dJglHsaZ6kQvxD40 rchGpE+DxBc9aMR3G7difZNBut3GHQNP8sa57ozR1fCteTqtYpJ9+PHHpxct/pc1E5yZuOad8tf/ VLf6xevIwZr8Pi58+uRiZbzU486Lgd25kBGiqEbzvMiOvTBd0F9KfG2Hh4bCdHyJsRRGRKqrbV0U /1/ZkzS3jfT6V1xz+l5VZiZWbMc+5MBNEiNubpKSnAtLsTWOKrbkkuVvkvfrH9AL2QuayTvMxALA ZrMXNIDGYgVZwKMVK6dpkVCGjAWcJ5aEJEEd5vsnV7si8KUpUHhfOSaFh7OJxN9mM/rFK49j/sqs clNXedrN0zr9cEWGYOfTGFMgXkzOOalxqCkXLUmwvPKUYF5fXw3p+4iLJbXscnHhpR0W6hCp0kqX seYMDtu+SVNU4biyhlO7akq6AkdPU9WNb956miYk/XRlaifj1TLbEx1VqrCsymvdHC3BVrC3AmfV WFuwVpvSeWwR8niO0VpSfWaqORzf+u7pX4wPhgFzMcswcoHcyK5f+fffxV385/r1ZY+6q80KChzR 1mHFw5Rm5H23RmMXDMyTLAuKck3moBQuZt28bLCqBO3dLEhI76Q5psmPdG8S+AEDBx0tDY8ZRYiJ gEGaMTWDHCQss5EeNpTS0cVdhRQehGTkp0kFJ/mlpw22uH7vMZ0okjq9NCQHC3XpRZ3bJjENRwoQ JsnH92TDURwlH99feXE3k0saVwueXJHYPm8TiTU8UTX4MqLfFcYfz68dC5rCTtM1bETvBRzvzizv ollL4ucrYAsF6XEfPR3uv5/Vh7fjPVF+kXsXdqUWhiMgPDulsYaTJUiA16IgldID8CcOk7nawyy2 KQFas6gzzcjcdT+apxVw7ebqItSPerLX/YNBmoWlpt33Z0Y+Ny5Rq4g+K4MMZJmgy8OSNjPIF3To N0B7ZsDMtcqzwhlytn0+nLYvx8M9FWbBEoyawsIv5I0n8bBo9OX59dGdQHVKDM0jgLNrSovkSF7D a4ZeucMQ2hgE2Nj+6nrorNGpXozD6karlA3uhIe3/cNqd9xqNV4HwUJRu1nUHQrsX98oDOB/6p+v p+3zWbk/i77tXv4HPeXud//s7rVgEqHgPj8dHgGMGZ31OVFqK4EWz6Hr3YP3MRcrCsYdD5uH+8Oz 7zkSzwmKdfX3kGf69nBMb32N/IpUeMP+la99DTg4jrx92zxB17x9J/HDTEVd04d2rXdPu/0Pq6FB ZMe8sMuo1dcT9UTvFPlb8z3IiChAThkv9SMcksTPs9kBCPcHvTMSBWLkUiVeKAvh6TjsAZ2oShjP eVvoNbMMAgzLNuvp6Gj0sqyrwPt0UNfpMrF7HrvMZPhMUWqJ5FbJuolIL54cWJGZxiD1HEBFQ3tU LkG8pr0ujPMRfrhSHAKdQDUDKzLvz0H1jTwVD5FqkLA1IOZ6nzZWF3hAzwe7D1mFJcQ86Z8HAnnG eKl4DMw1ZY/jX9/kVT+h6OZ0D+uXiEJlt3gi6l0M4ENS+qxw2umbqbDsmqHUcvtb1/C7cD1diqgg lVZlZKRHZEkNOjqt/QpcyKK8bkL8FZHJMwSZzGi+spvGLGI8AkQNSjW/O6vfvr7yHT6MiKo+AWhN 3xuAIEZUaRcL9GAmxMBXEJiwUWrCwijvFmURIOHES4XNY5IH2OYdKIDM2mAEld0PHVenCfNEChhk QbakNyFS4bpO8/V1fusJrxVDssYU69rAaMhqHXST6yLv5rXuDGegcFTsz8iDqpqXRdLlcX51Rd44 I1kZJVmJRjlQF2uzebEUuBxbguxlv2BAJ1bIa7/gzTXSt43M1ghgFE2xoMo6WXrRQRhcL85Q+vhM FxXPI00nzaPQvDxCQMbN/mIVb4//HI7Pmz3Irc+H/e50OFJZ2cfItI0WUJwVJkezz+EvpVV3Kybu mPR9cNEt2iJtHGHWY/gvYlam2rEnAV2YwonIgFEYpgwTO6W6azUgzTqf/vi6w6icd9/+lX/8d/8g /vrD1zy+vPfnJddHf/0gn8/SsFjGaW5o+GGGAdJL7j5J9Bcd8TMjrDpsqGWBNQOMOxLxps5M1xMH a53CegCdWp1zUYLR3lbHgVsQZr46Ox0397v9o3t+1I1ZUKPJhe2nC4M6JXOY9RTQj66xH/YWMQQc iOUs0kOHXBwRSCZrG8xdiH1b3sO9ZRd6CjohVY+umznZcF5TUWpDf/Qr/x46hCeofA3ufGj2+GpG 3b9P9do38EOU0YNFWZSxsYERJ/Nz2PFwFA2dIUMjCHgCFfPddaTbUjkkTNCUbnekjKgl1CS9YAN/ UjqDDu75JnpUgKS95rKFcBl+ezrtXp62P+hcD3m77oJ49vFmQh+iEl+fX5DmK0TbYd4Ic40uyveY 6I6mXpSVIaaJi0nQkeuSefyQU91mgb9QQlN9UuAszc0qXAAQennUsMxexgz+LuhjS7qYGHMIO/O2 DeLYk41isMg0EVaIr5rWY/XOSw8HFgr+oI7h/E13GMPGz2xd6YqCaJ50K8xn1AekDYpFkKVx0CSw 7rDAUU3aeAGXlkYyX1B1Jla5XQnq1kHTUI0A/oP7yAf+4rJOYU1FlHSraOokapkRUQWYi043cUvA 0JyL8rTihEJx6HCeU8vscxhr3rP4y/Zsh/flIR99XSjHECfAmCPRg4HYk+ujJ+GljtNiSjMp7QXu VPRUnzkB8VVrp2sIUTWYl7STHZLctiUZJramJwTBZg4dhJRFhnXveHiV902rgNGp3BDpV3RBbpvQ 34yloe3VrGBdOYkoVt/jMdkC8aQInYPDYJGVdH90OrJbYeOuEwUb3TI9EV9MnH/NmBUB3tOwtgBV CBb6nbvSLWr/2Ap8UGP03liHWDLF2EjjlqhIs3741caZOB/OQTjWnaeMt3zGy344XgyI+yoeUiIU E8MDRzUayZqLVnZChc6+eASGHk/6bEjsl7ox/VMwLwd1U+xjbbg1bcYqYCI7EByh1PrC4EB+q2AE 7aAxDu+Q72y83j9QoNldhWPlEZT4LDeURDutiRBCASJlRI5RuSdUG4F91ci5j/UTY864iZ0f4FNh BRw0YSz1LgmRo8BHEu8XeIuvC2DDEo2v305zYI/nNmBiPRU1hmgRtE05rS98a1qgvSu+xWyiNA4L XWfBnYUWUt7m/pvuLjKtrSNKAlzOphBYe7OcsYDS6hSNcxQKcBniHgN9sdZUFY7C1VZTMCdebMD0 HTGutMT3iW+N/2Rl/ne8jLlw5MhGIETeXF29NzjC5zJLzVqvX4CM5NBtPFVsSr2cfqEwL5f139Og +TtZ4/+Lhu7SlLM4Q3iu4Un6iFj21NrTKkQOsyJXGJN68eEjhU9LvL2q4Vv/2L0erq8vb/4812wC OmnbTClRn3+JJYJ53vB2+uf6j57lN4q/6wBrnjmMrfTRHR1BYRZ63b49HM7+oUaWy02WaRxBC9tX SEcuc9OwpQGliQV198oiQItrk1lAnAtMbJo2eg4zjgJdIItZUthPYMZFTPpnZ3RaJKzQx0/ZNpSm mFfmd3IALTNYNH6RUeBTVJxJT/l5OwN+G+r9kCD+5doJk6APU8SSQPfT7pMbztJZUDRpZD0l/hnk AmXgcydc17NqEQMvvGhpVgmnBHrH+egUlV6qEH6oNW7sHQ2tNl93oWfuNzAip//QDwP38ZLurE50 TYbBWSQT7zuuSadmi8TfRbpulEVyPvI4FQlnkXwYeZxagxbJpWfkr6+uvJgbD+bmw5W3MzeXtJ+d 1cAvP/jmwvf2a91dGjFwJOGq6669nTqf/E6vgIpyX0UanjOBfus5DZ7QYGcWFcI3hQp/Sbd3RYOd paoQN95h6L+HjjEzSH7V2XOrt4syve4YAWvtfuZB1IHUEFBXxwofJZj+0mxNwEG4bVlJtRmxMmjS 8WbvWJplaUQ9PguSjLRl9wQgAS+oJ+FUzECNGHk0Ldq0cb+Gj4KRcFdhmpYtUj3/BSJQLDH0iIy+ Nm6LFBc8pV+U3epWP08MG5rwf9nevx13p59uihXzBgJ/gYJ724IW3SmRepA0ElaDtAqzhYSge8w8 SXIxUXTC0+tTx5BUvCSB8fIunoOil4gc+sbpj0iuMKWRQFJGU2kYwwQgNb87blgamfcUkoTst0J6 9BHOa5ogxPu/uswCW3VUAgM6a3IP2CIRObKisrrrMNVGFBhik0M0ggJRNsvQ+VaTk0E9Rr1S3J8Y XwmiFggf+GwOa2aeZBVpE1Uy7jBwerH2rM4//YG+dQ+Hf/fvfm6eN++eDpuHl93+3evmny20s3t4 t9ufto+4tN59ffnnD7HaFtvjfvt09m1zfNju8apjWHVaYt+z3X532m2edv+7Qaym0KDFEuvIL2DG C+NCNsXsfWIozXR+mqFb0ExhX2sktNGe7odC+z+jdzOyt1VvGSyZMFsYzsuw6Et1fxEdf76cDmf3 h+P27HA8+7Z9etkehzEQxPCls0CvFGSAJy480TO5aUCXtF5EaTVPmBfhPjI3c/cMQJeUGSlUehhJ 2EuhTse9PQl8nV9UlUu90EtSqBbQGuaSDil6SLj7gGnTMakxfSbnFtwm6VDNpueT67zNHETRZjTQ fX3F/3XA/B9iJbTNHJivvl0kxr4kt5ZEmruNzbIW72yRs2AshoNPilla9Jd91dvXp939n9+3P8/u +cp/PG5evv10FjwzcqAIWOyuuiSKCBhJyGKiyTp3xxJY4DKZXF6e34yg5KcKf4i307ft/rS735y2 D2fJnn8YsIGzf3enb2fB6+vhfsdR8ea0cb400vPaqTElYNEcjuFg8r4qszsz0Kzf37O0PtdLG1sI +KMu0q6uE4INJLfpkhi1eQCMdKm+NOQe1s+HB93mpvoXulMRTUMX1rgbJSK2RRK5z2ZsRSzackrf r/R7I6TDXDh2TbwaZIwVC1xmUcy1wbdfMyD5CPvfqBEGyzXB1LBKQ9O6KwBt9v1UzDev33wzkQfu VMwp4FpMmv0pS6B1TK3x7nH7enJfxqIPE2LmOVg4QNBIGopJoCheuF6Tp06YBYvESq+jY2gBziTx FD0betWcv7fKsto42Wt/KzOy996t3C8QDG67unDweUzB3HbyFDYw9+qjppnlGMnq7zTi9Sp5A3hy 6fJ5ABsBxoqxzINz4t0Ihn1SJ1TM8kADLxJUdBOX55Pfa4TqlkgYRbQ61lr+wW0KL09CK5OQPE5n 7PxmhBWsKroTfLl0fE1hzL8T4yAkx93LN8M9vmf3NdEkQDuynJSGV68it1O5wmBJfwOKQkYoEVtV 4j1rGnNig/buntEK8asH5fEGPPX3KSd+UlR81Zc4Gx+wtE1TJ9C6MsJfgPLK84qr32rBcJkdYB+6 JE6Gz7Pbn/J/R1Z6kNUBsZ+VGEJ1WaJ+2WOQlSuR4ZaE8/PTNzGKZmSaNZKJfwDqfKSHzaqcpgTH lnDfGldoT8dMdPdhFdxRTENS0XMvtv7h+eW4fX011OV+6qeZcRmhZKcvJfGy6wtPgjP1kCcTVY+e j8hW0hlAhKJt9g+H57Pi7fnr9ng22+63R0vdV4yoqNMuqijNMWbhTCU9JTCkiCMw1OnLMZQ0iggH +DnFXAYJhjbo9hlN/esCO8raQPFOjA1mT6g0b//A9qSsoI4dHQ2MZFn9RkvSZOBtKim4CluG6Lfb eMLa1YEYkE5mShLFsw1dviwTyNPu63Fz/Hl2PLyddntCrs3SUB5uBJxF7n5DhBLynES+Lg2JE0xt 9HFB4srx4hJwmQgiv1ZposdfNd4KdRQgvJcnGeaY/XR+PtpVr1hqNDXWzRE1aRiwQZX1rxWk9khw c0oV5C76QWwHNbtEIkosnVBy8YBPSN9lhwx7+P4i8DQVRSP7Dwlug8bz6C36H8yvby5//KojSBnJ bIse7NXEj1QvWU79z2PrY3ho34OO5klWG+msBpwWH+wisaTcOkroO35jiEEE/8VM5VgyNupma0q8 tShc70BJHtR3eZ7gbQK/iMAafcNXaciqDTNJU7ehSba+fH/TRQmTdxiJdFUeCKpFVF+jT9cSsdgG RfFRpWn3YNGUhw/rX1unM7xLqBLhD8e9F+U9iitjbI8njJLdnLavvL7T6+5xvzm9Hbdn99+29993 +0c9QT/P7KVd+DDDEc/F15hd3sQm64YF+sg4zzsUPLv2p4v3N1c9ZQJ/xAG7+2VngOtjCpO6+Q0K fmZxRy+eE185SP3GEIlaTt6jjQVpfNVVt/osKVgXJkUEQg0jay+lRRIwoC1mpr6HUZy0/1+YgqaK eQG1gVVBkaDEFhHeLrEyt4zZOkmWFB5skTR9UXoLNU2LGP7HYBxD/aI0KllsGiaw4G/SFW0e0knO xX2gHnLaB3VGqe3Wr1AWmJ916G0Y5dU6ms+4VyhLphYFeu9MUQmUMSep/tF9G7DjQWAtyqa/qOz5 SgRcKW0MJScycv8CRW9Z0mBp03bmU1YmX24moyPaTBLgQEl458mwq5P4ZHxOErBV0NDMFfFiRvWH PJqfKZ9FelG0NHStiJFmx7aNf7Do4zLXRmFAfUGJAYRLUwX6IoQjCwoaUe8MbULjxIWjMkOQczBF v/6CYPu3eUUiYTwWtXJp00BXIiUwYDkFa+awaxwE5jx02w2jzw7MHMbhg7rZl7QiESEgJiQm+6Ln utQQ6y8e+pKES/3R2s/EBXpo+i9zH+llkFluzUFdl1EKOxXk3IAxo9JKwKOC9EBLAeKRIgb/QLiR y5MXUKp0j7oETp1aIIBhzvS4RY5DBLTJFSXbaxBxotwVKP4Gu+S1mLBOiPGyepWWTWZYwJEw8mR0 481XqVfAqWeZGGBtL/I4AxQdAgzt0hBV2zFjbOJbjTUXGbpfahuLtZ3lnR1lX9CRQps5dovKg9ZK XqVG3aE4zY3fGOnL8IKrYcZ8whyrBbOM69JdRrOkwbRF5TQOiCQB+AxPa9TpXH1aonXKro3Eodc/ dObOQejxDhwqifRScBh5XmbWpOOawrjgzrjkBwB+mW5n6qlbEf3WTbO2nluj2hNxfxG92Kfyv40W qyAzcyhGizipSr2nsPiMyUUnmmKm89xeEHLkG9P9QwmLHPpy3O1P38828OTD8/b10XVF4tEMCz76 lnCA4CjA1BJk7CKPKcbsbhmIOVnvT/DRS3Hbonf8xTDgQqB2WrgYesELJMmuxEkWUIEemFEcK2tZ TuAGWOUYGGTzuzwsUWlIGAM66sQVD8J/oiRbok+Bd1h7g+HuafvnafcsZdNXTnov4Ed3EsS7pJnG gcGWi9soMSxGGlZx8ISuIaFR1iBZ0UKMRhSvAjalhZRZHGKEXVp5gr2k2Spv0ZxvhyOqzYpJRXnc zKfr85uJ7j4FDcOxgfH2HodrlgQxfwNQkQRzIABhFj4ENllGXRHKOnwiXAvdvHMsTaHtOwvDe4rR hRrbEp9QlamM3tX3tQqLteK9ZLBeiSH3qyRYoFefXYJ10HR+d/2IZK5o3d3dKwYQb7++PT6i41S6 fz0d3563+5NesT1ArRtULr1KlwbsvbfEXH56/+OcohJJaegWZMKaGh0aMf3SoHqqkEViZGp+EK66 sVnDSI+0FnQ5xk6PtIM+bD43Qc6YF7CY9efxN2WD6M+AsA5kvCNWjgoyw7LBsePvi+qg0HnIb82b OQAYvKHf8MtQ0bTuk5tI57q+MY3PI68FlT4p7FhE0QriuSzi98IsVwV5FnAkbIe6LAzF3oTDlMhw UVOBNmi+JIwOiBSdZCWWlPQ5TvVzJYhXa3ukdEivyzZWFA7/7RwYEizTuIx0UcSp0RR11qrSmKQT K8er4Dl9BcnpBxklA+bhTp7CjPRLcKcWj1y6b8CwY0mVYPlVD/+2BnmZd9WMu+e6vVpSYX7EY56W Qfpug4xoViC8bYucadwnlVjmgu+iRkDZPLT9GtS6N7mFQK8dS3CPeN8F1jXXCyyGC4mtMDASUD8M VdZ6sd3gwLA4omwxUpVidQKf8rh4uzk+zZ/OTeDwSdY76OxEg+M5t31yyryM2ywhDzWHMzkLdG7V lhSOUEh/Vh5eXt+dZYf7728v4iycb/aPZp49rN6NPsglHbNs4PGUbuFwM5FcQ2mbT1o5QCwtjSar Frd+Axu7pBgg+o1LKqG/YUswxrmRf0SjotrShgOR3byFhdIENb2pV7d9US3/pIi3kdMxPq4ifAFE j4c3lDeI40SwC0vmFkBTjOWwISBY+XATbZu7GIdwkSSVcaLIPcySJOcOuMLei26Sw/H5n9eX3R5d J+HLnt9O2x9b+GN7uv/rr7/0GvIY3c6b4/nsBzVT04Cwaq2MYifHmLeBnzZ2YqFNs0nWydiZQaUG tkh+3chqJYjgFClXVdDQ19+yV6vaF9QoCPinOeKAQaIKGmcwSS6fleMmrthHCvzyF8FOQGOHMIs9 K9TwQboS3C+rqfEYbVStY/GCVZA2VBIKpVH/P1aQIe03zMoNwLUFGLeuLeokiWE3CPPpyFAvhMTg 4XzfhXT4sDltzlAsvMcLD4PxyfFOPWMgt8wv8DW9wgVSRABZlwSDjs6lGV7rG6Um1hLZHQym4/kk +60RaL1J0YAq4WYiYFFLMSVrHQ16Y9R2mALTXSoawdjDmH3klw2gWMHVzv4gmZwbL7AXCwKT27Hs KLzjPJyqm+HTKL6kZUwOrjkmDne4ldonI/RO0+LBdwxoCnhP69lX8KUy/b4wq6o0pNQGB3QR3TWl JmNzP5dhA7lGPi5tTdtC6OKciPmwMDDVnKZRNqCpGno/slulzRxtm47oTZDFKcMTGo1jNrkky3lu L2gPr90sEgzx56sEKbkVwWkEPZ9sA2skWxNND0jxwshM8o5Az7kmekhreXDkpTEoevMoPf9wc8EN 2ChHU7oK1uXSPWAEgCytLlGS0xlsXGDmqy5koL/w0aDVE9mEXT/GJpDJ1bPUl2pZ0olfHk1O0iyn WHIbvRXyGG9r6cAHSUxJY65iwxNHptJIYVr05D4XNA7H+3F9RXI8PvkgOE+zYFa7G8nCF5ix0qZJ ApbdKStrW+v3WtdXnbR+clOsXh1Df8rTVhzOPA/w7L/r2IyHkHJfFnIzu085w2SANtfom8AO45UW piIdvbTFevVoT+7er6+pZAQa3pylHtE69miXxjZC2ZyWW7cDFnhEsagKRs4G0QbnFGNnd56SI2EM GLecVZqjZ8U1PpTwehF/MHUVK5HrFY4TosUebVtJ+4PKXMr65UWzfT2hAIaKSIRJ4DePWy1oui30 GzqhlTrVagZl1VBkOTRZi73qXRaCjDNnb0YzJQ3h1UHJhtxfJLGVH2yMOSyiUo8JEwYDUKoBLLex fmktqYeeI5m0v+OFQMDQpEZJ3JwSDeSszbnjtn4BKJDsFrqVBMLf5/0PrCXaq8oMDh+8qcMBEuUK CyMtQbaIG1rcFSopOvjUVk0OkyRPC1610E/hfT4cRApY8/55ZvwOewTPL5XLrMTqL34mot98+8lA ZkOByWe05GrU1QWp5fCvnSdrtD2ODIe4KxRhoZ7kAJKujiqaWwgjDlA0noornIBz7ynxFRzb32Ga D7VtSt9MceyaOwf48ZiPbAqHpZ+Cob8KtyX6abzu4BybxvT9vVixi5HlDJ9smZtMvLSp+Qm4KIxX xyPvqKYjSPSam+M9KwgONAtChzDoJ+3gZrY2TVkOKixlThQryMpOBc3yyn09b9YuWJHSYzpUrIK7 A5L82nC48z0Pb6+dJ8Wo+g9nuRN4qgY7VYbFh5I8CmDNjzaDVg7PnapqxCNAiwFHzoF3IGbetiT3 JlAfPSqdJArCGeD/ADQSZUMXYgIA --===============3298344143962290405==-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7200007682923560176==" MIME-Version: 1.0 From: Dan Carpenter To: kbuild-all@lists.01.org Subject: [kbuild] Re: [PATCH] mac80211: enable QoS support for nl80211 ctrl port Date: Thu, 10 Dec 2020 14:04:33 +0300 Message-ID: <20201210110432.GM2789@kadam> In-Reply-To: <20201209225214.127548-1-markus.theil@tu-ilmenau.de> List-Id: --===============7200007682923560176== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Markus, url: https://github.com/0day-ci/linux/commits/Markus-Theil/mac80211-enab= le-QoS-support-for-nl80211-ctrl-port/20201210-065717 = base: https://git.kernel.org/pub/scm/linux/kernel/git/jberg/mac80211-next= .git master config: x86_64-randconfig-s021-20201210 (attached as .config) compiler: gcc-9 (Debian 9.3.0-15) 9.3.0 reproduce: # apt-get install sparse # sparse version: v0.6.3-179-ga00755aa-dirty # https://github.com/0day-ci/linux/commit/514b314825e19f7075eb375b3= effa93ff0f6a16e = git remote add linux-review https://github.com/0day-ci/linux = git fetch --no-tags linux-review Markus-Theil/mac80211-enable-QoS-s= upport-for-nl80211-ctrl-port/20201210-065717 git checkout 514b314825e19f7075eb375b3effa93ff0f6a16e # save the attached .config to linux build tree make W=3D1 C=3D1 CF=3D'-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH= =3Dx86_64 = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot "sparse warnings: (new ones prefixed by >>)" >> net/mac80211/tx.c:1206:26: sparse: sparse: dubious: !x & y vim +1206 net/mac80211/tx.c 9ae54c8463691b Johannes Berg 2008-01-31 1162 static ieee80211_tx_result 3b8d81e020f77c Johannes Berg 2009-06-17 1163 ieee80211_tx_prepare(stru= ct ieee80211_sub_if_data *sdata, 3b8d81e020f77c Johannes Berg 2009-06-17 1164 struct ieee80211_t= x_data *tx, 7c10770f995820 Johannes Berg 2015-03-20 1165 struct sta_info *s= ta, struct sk_buff *skb) e2ebc74d7e3d71 Johannes Berg 2007-07-27 1166 { 3b8d81e020f77c Johannes Berg 2009-06-17 1167 struct ieee80211_local *= local =3D sdata->local; 58d4185e36913d Johannes Berg 2007-09-26 1168 struct ieee80211_hdr *hd= r; e039fa4a4195ac Johannes Berg 2008-05-15 1169 struct ieee80211_tx_info= *info =3D IEEE80211_SKB_CB(skb); 68f2b517bcbd81 Johannes Berg 2011-10-07 1170 int tid; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1171 = e2ebc74d7e3d71 Johannes Berg 2007-07-27 1172 memset(tx, 0, sizeof(*tx= )); e2ebc74d7e3d71 Johannes Berg 2007-07-27 1173 tx->skb =3D skb; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1174 tx->local =3D local; 3b8d81e020f77c Johannes Berg 2009-06-17 1175 tx->sdata =3D sdata; 252b86c43225d0 Johannes Berg 2011-11-16 1176 __skb_queue_head_init(&t= x->skbs); e2ebc74d7e3d71 Johannes Berg 2007-07-27 1177 = cd8ffc800ce18e Johannes Berg 2009-03-23 1178 /* cd8ffc800ce18e Johannes Berg 2009-03-23 1179 * If this flag is set t= o true anywhere, and we get here, cd8ffc800ce18e Johannes Berg 2009-03-23 1180 * we are doing the need= ed processing, so remove the flag cd8ffc800ce18e Johannes Berg 2009-03-23 1181 * now. cd8ffc800ce18e Johannes Berg 2009-03-23 1182 */ cc20ff2c6b5d3e Felix Fietkau 2020-09-08 1183 info->control.flags &=3D= ~IEEE80211_TX_INTCFL_NEED_TXPROCESSING; cd8ffc800ce18e Johannes Berg 2009-03-23 1184 = 58d4185e36913d Johannes Berg 2007-09-26 1185 hdr =3D (struct ieee8021= 1_hdr *) skb->data; 58d4185e36913d Johannes Berg 2007-09-26 1186 = 7c10770f995820 Johannes Berg 2015-03-20 1187 if (likely(sta)) { 7c10770f995820 Johannes Berg 2015-03-20 1188 if (!IS_ERR(sta)) 7c10770f995820 Johannes Berg 2015-03-20 1189 tx->sta =3D sta; 7c10770f995820 Johannes Berg 2015-03-20 1190 } else { 3f0e0b220f8007 Felix Fietkau 2010-01-08 1191 if (sdata->vif.type =3D= =3D NL80211_IFTYPE_AP_VLAN) { f14543ee4d0681 Felix Fietkau 2009-11-10 1192 tx->sta =3D rcu_derefe= rence(sdata->u.vlan.sta); 7c10770f995820 Johannes Berg 2015-03-20 1193 if (!tx->sta && sdata-= >wdev.use_4addr) 3f0e0b220f8007 Felix Fietkau 2010-01-08 1194 return TX_DROP; 514b314825e19f Markus Theil 2020-12-09 1195 } else if (tx->sdata->c= ontrol_port_protocol =3D=3D tx->skb->protocol) { b4d57adb727ec7 Felix Fietkau 2010-01-31 1196 tx->sta =3D sta_info_g= et_bss(sdata, hdr->addr1); 3f0e0b220f8007 Felix Fietkau 2010-01-08 1197 } 9d6b106b54e02a Johannes Berg 2015-02-24 1198 if (!tx->sta && !is_mul= ticast_ether_addr(hdr->addr1)) abe60632f311d5 Johannes Berg 2009-11-25 1199 tx->sta =3D sta_info_g= et(sdata, hdr->addr1); 7c10770f995820 Johannes Berg 2015-03-20 1200 } 58d4185e36913d Johannes Berg 2007-09-26 1201 = cd8ffc800ce18e Johannes Berg 2009-03-23 1202 if (tx->sta && ieee80211= _is_data_qos(hdr->frame_control) && 49a59543eb5a5d Johannes Berg 2011-09-29 1203 !ieee80211_is_qos_nu= llfunc(hdr->frame_control) && 30686bf7f5b3c3 Johannes Berg 2015-06-02 1204 ieee80211_hw_check(&= local->hw, AMPDU_AGGREGATION) && 514b314825e19f Markus Theil 2020-12-09 1205 !ieee80211_hw_check(= &local->hw, TX_AMPDU_SETUP_IN_HW) && 514b314825e19f Markus Theil 2020-12-09 @1206 !info->flags & IEEE8= 0211_TX_CTRL_PORT_CTRL_PROTO) { ! has higher precedence than & so this is equivalent of "if (!info->flags) {" Presumably, it should be: !(info->flags & IEEE80211_TX_CTRL_PORT_CTRL_PROTO)) { cd8ffc800ce18e Johannes Berg 2009-03-23 1207 struct tid_ampdu_tx *ti= d_tx; cd8ffc800ce18e Johannes Berg 2009-03-23 1208 = a1f2ba04cc9241 Sara Sharon 2018-02-19 1209 tid =3D ieee80211_get_t= id(hdr); 8b30b1fe368ab0 Sujith 2008-10-24 1210 = a622ab72b4dcfd Johannes Berg 2010-06-10 1211 tid_tx =3D rcu_derefere= nce(tx->sta->ampdu_mlme.tid_tx[tid]); a622ab72b4dcfd Johannes Berg 2010-06-10 1212 if (tid_tx) { a622ab72b4dcfd Johannes Berg 2010-06-10 1213 bool queued; a622ab72b4dcfd Johannes Berg 2010-06-10 1214 = a622ab72b4dcfd Johannes Berg 2010-06-10 1215 queued =3D ieee80211_t= x_prep_agg(tx, skb, info, a622ab72b4dcfd Johannes Berg 2010-06-10 1216 tid_tx, tid); cd8ffc800ce18e Johannes Berg 2009-03-23 1217 = cd8ffc800ce18e Johannes Berg 2009-03-23 1218 if (unlikely(queued)) cd8ffc800ce18e Johannes Berg 2009-03-23 1219 return TX_QUEUED; 8b30b1fe368ab0 Sujith 2008-10-24 1220 } a622ab72b4dcfd Johannes Berg 2010-06-10 1221 } 8b30b1fe368ab0 Sujith 2008-10-24 1222 = badffb725c86cc Jiri Slaby 2007-08-28 1223 if (is_multicast_ether_a= ddr(hdr->addr1)) { 5cf121c3cdb955 Johannes Berg 2008-02-25 1224 tx->flags &=3D ~IEEE802= 11_TX_UNICAST; e039fa4a4195ac Johannes Berg 2008-05-15 1225 info->flags |=3D IEEE80= 211_TX_CTL_NO_ACK; 6fd67e937ece53 Simon Wunderlich 2011-11-18 1226 } else 5cf121c3cdb955 Johannes Berg 2008-02-25 1227 tx->flags |=3D IEEE8021= 1_TX_UNICAST; 58d4185e36913d Johannes Berg 2007-09-26 1228 = a26eb27ab43014 Johannes Berg 2011-10-07 1229 if (!(info->flags & IEEE= 80211_TX_CTL_DONTFRAG)) { a26eb27ab43014 Johannes Berg 2011-10-07 1230 if (!(tx->flags & IEEE8= 0211_TX_UNICAST) || a26eb27ab43014 Johannes Berg 2011-10-07 1231 skb->len + FCS_LEN = <=3D local->hw.wiphy->frag_threshold || a26eb27ab43014 Johannes Berg 2011-10-07 1232 info->flags & IEEE8= 0211_TX_CTL_AMPDU) a26eb27ab43014 Johannes Berg 2011-10-07 1233 info->flags |=3D IEEE8= 0211_TX_CTL_DONTFRAG; 58d4185e36913d Johannes Berg 2007-09-26 1234 } 58d4185e36913d Johannes Berg 2007-09-26 1235 = e2ebc74d7e3d71 Johannes Berg 2007-07-27 1236 if (!tx->sta) e039fa4a4195ac Johannes Berg 2008-05-15 1237 info->flags |=3D IEEE80= 211_TX_CTL_CLEAR_PS_FILT; f7418bc10d8402 Felix Fietkau 2015-09-24 1238 else if (test_and_clear_= sta_flag(tx->sta, WLAN_STA_CLEAR_PS_FILT)) { e039fa4a4195ac Johannes Berg 2008-05-15 1239 info->flags |=3D IEEE80= 211_TX_CTL_CLEAR_PS_FILT; f7418bc10d8402 Felix Fietkau 2015-09-24 1240 ieee80211_check_fast_xm= it(tx->sta); f7418bc10d8402 Felix Fietkau 2015-09-24 1241 } 58d4185e36913d Johannes Berg 2007-09-26 1242 = e039fa4a4195ac Johannes Berg 2008-05-15 1243 info->flags |=3D IEEE802= 11_TX_CTL_FIRST_FRAGMENT; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1244 = 9ae54c8463691b Johannes Berg 2008-01-31 1245 return TX_CONTINUE; e2ebc74d7e3d71 Johannes Berg 2007-07-27 1246 } --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org = _______________________________________________ kbuild mailing list -- kbuild(a)lists.01.org To unsubscribe send an email to kbuild-leave(a)lists.01.org --===============7200007682923560176== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICHXt0V8AAy5jb25maWcAjDzLdtw2svt8RR9nk1k4I/mh65x7tABJsBtpgqABsNWtDY8itz06 Y0u+kjwT//2tAvgogGDbXiTqqmIBBOqNAn/95dcV+/b88OXm+e725vPn76tPx/vj483z8cPq493n 4/+uCrWqlV3xQtjfgbi6u//29z//fnfRXbxZvf39/Oz3s5ePt69X2+Pj/fHzKn+4/3j36RswuHu4 /+XXX3JVl2Ld5Xm349oIVXeW7+3li0+3ty//WP1WHP+6u7lf/fH7a2Bz/vYf/q8X5DFhunWeX34f QOuJ1eUfZ6/PzgZEVYzwV6/fnrl/I5+K1esRfUbY56zuKlFvpwEIsDOWWZEHuA0zHTOyWyurkghR w6OcoFRtrG5zq7SZoEK/766UJuNmragKKyTvLMsq3hml7YS1G81ZAcxLBf8BEoOPwgL/ulq7Dfu8 ejo+f/s6Lbmohe14veuYhsURUtjL16+AfJyWbAQMY7mxq7un1f3DM3IYV1PlrBoW7MWLFLhjLV0C N//OsMoS+g3b8W7Ldc2rbn0tmomcYjLAvEqjqmvJ0pj99dITagnxJo24NraYMOFsx/WiU6XrFRPg hE/h99enn1an0W9OofFFEntZ8JK1lXUSQfZmAG+UsTWT/PLFb/cP98d/jATmigVLYA5mJ5o8MUKj jNh38n3LWyL5FIoP57aakFfM5psueiLXyphOcqn0oWPWsnxDJ9AaXoksMT5rwTpFm8s08HcIHJpV ZOwI6rQIFHL19O2vp+9Pz8cvkxatec21yJ2+NlplZLIUZTbqKo3hZclzK3BCZdlJr7cRXcPrQtTO KKSZSLHWYIlAFck76gJQBnap09wAh/Sj+YZqHUIKJZmoQ5gRMkXUbQTXuJCHhXkxq2GLYRnBLoCB S1Ph9PTOzb+TquDhSKXSOS96AwerMGFNw7Th/aqMQkA5Fzxr16UJdeJ4/2H18DHa0MkTqHxrVAtj ehEsFBnRyQwlcSrzPfXwjlWiYJZ3FTO2yw95lRANZ853M/kb0I4f3/HampPILtOKFTkMdJpMwo6x 4s82SSeV6doGpxwpilfTvGnddLVxziVyTidpnP7Yuy/Hx6eUCoEH3Xaq5qAjVEevQey1UIXzr+Pu 1goxoqh40tB5dNlW1TI6YR82Yr1BMexn7wbsxWQ274lbozmXjQWudXo2A8FOVW1tmT6kTKOnIUvZ P5QreGYG9jruVhRW+5/25unfq2eY4uoGpvv0fPP8tLq5vX34dv98d/8pWmPcHpY7vl6PxonuhLYR GgUj+VKoV05uJ9okXWYKtIg5B4sNpKkgAoUEQygi3U5uCl6xg3soQux72DiIgwr1o7k0RiRtwE8s 4ajbsDrCqIrRLdB5uzIJiYa96gA339QACD86vgcpJ69pAgrHKALhmrlHe81NoGagtuApuNUs5/M5 wZZUFQaAkjoUxNQcLLHh6zyrBDUiiCtZrVp7efFmDuwqzsrL84tpQxCXKRWGlgG2VnmGi74kNtPk Oxf5yoxqbbgxozvZ+j+Ig9mOG6RyCt4AT04D8kphCFuCJxelvXx1RuEoG5LtCf781bTzoraQKbCS RzzOXwdmtoU0wAf2+QZW2dntQc7M7b+OH759Pj6uPh5vnr89Hp8cuH/ZBDZwWKZtGkgWTFe3knUZ g2QnDxypo7pitQWkdaO3tWRNZ6usK6vWbGaJDLzT+at3EYdxnBibr7VqG7KYDVtzb+C4puoMkV2+ Tux4Vm17JjFTv1oTtGRCdyFmSmlK8JSsLq5EYTeJUcAGJnn2IzWiMDOgLmj+0QNLUNtrrmfwTbvm sKYE3kDIag2dJAoiDtXjkvrRsyv4TuQ88SI9HjjE9nJ4Fa7L5eeypkw842KpxENG5duRhlmyGpg0 QIwGHiAI0lEQTUqt0anUNAdu8uA3rIf2gGm1YKGSzGpug2dhR/Nto0Ay0c9DKMqDzMUJPear7j2S iw5RGshPwcGUQyzLi7TlQs+1IMCwXS5e1ES03G8mgbEPG0n6pYsoIwZAlAgDJMx/AUDTXodX9EUd 5E1K9oshzZ0cuFIYheDfaSnMOwUBiRTXHIN0J1RKSzAuSZmMqA38QdxelP15iyiK84uYBjxmzl0c 5D1AHKzmptnCXMBP42RI+SEUau93E/OMBpWQAQsUPDIPUGLM07pZ3O5FZAYuN2B0qlniO8aagaeI f3e1FLSIQsw2r0rYH00ZL749g0QJw2Iyq9byffQT9Imwb1TwcmJds6okwutegAJcmkEBZgMWnXgJ QUovELW1OnRDxU4YPqwfWRlgkjGtBd2FLZIcpJlDumDxJ2gG0Ru8JMopWMYEhVsk1GBMxwPJme/p 5DKHMgmS/UmzQZQaTGe7QgM/HTIEK1JBzpYEdq0MFBEZuTHKVPXGzQR98rRKMN06j0QDMuUgTQZi XhQ8xdErEozZjbmnCzf6Em5zfPz48Pjl5v72uOL/Od5DvMwgEMkxYoZUaQqDQxbjyM6ReCS8WbeT rjyQjM9/csRhwJ30ww2hBREOU7WZH5n4BCUbBhvnktTJzlcsVUJCBpQdy2DBNYQx/f7HLFwQgFFy p0H7lUyypGRYsIGIPtCetiwhIHTREq2hkIFaFyQDibaCValBDsZy6TwzFrhFKfIhhaExRymqWfLU b0JYPx74XrzJqLDvXcE/+E29nK9wo9EueA46QbQB8oMGUgTnOuzli+PnjxdvXv797uLlxRtaVt6C 5x0iTLJEluVbnwnMcFK2kb5KDGp1DX5U+GrI5at3pwjYHkviSYJBdgZGC3wCMmAHOVBPN5apDOuC GHJABKJKgKOF6lw4E0i5Hxxy594XdmWRz5mAJROZxtqUS7Sjx9GUoEjhMPsUjkGwhMcfPPLhIwXI Ekyra9YgV3HVFUJaH3/6cgOkbiRexOxyQDn7BKw0Vs82LT2BCeicciTJ/HxExnXta4vgdo3IqnjK pjVYYF1COyPvlo5V8wj+WsE6wP69JmGZKx+7h5cSpN4EwtSdWlNfZFgNis8KddWpsoTlujz7+8NH +Hd7Nv4Lla4zslkaqHU1aSIhJQQenOnqkGOxlTrnZu3TzwpMKDjfMY3vMz6YF/fqhrvKc2+JnF9o Hh9uj09PD4+r5+9ffRmFpKnRQhHdpdPGVyk5s63mPm+g9gmR+1esEamzBUTKxpWCiairqigFTVw1 txDP+JO3gLGXdQgtdbpmiDR8b0FCUOr6yGqREjWy6qrGmEUSJic+yzmcUKbsZEbisQESuzHkOW54 fzYCaXDVpnIcJUE0S0g5RvORCgAOoF0Qi0GYvm45LfTAMjMsFgbeo4fNM8Q5iWlE7YrkCxu52aF1 qjIQM/BWeeTu9mFJctAZcPvRNH2dvmmxTgzSW9k+lJ0mtNucnuiJCmdMOlRqRiZ/wuJvFMY2blrJ gViu6xNouX2XhjcmTyMw2ksfPIJbTYYfozugwfAgw7rGyNXbel+uuqAk1fkyzpo85JfLZp9v1lF4 gCcOuxACjlTIVjqVLJkU1YGUE5HASRgkgdKQAEKA8XW2owtSSKTfyf3MqgxmDcYArfEKOwczWcyB m8OaVkQHcA4hJ2v1HHG9YWpPj9I2DfeiRYgLl99Nx1cQyYGqQ/CysJl7sJupgodzhwajTXCIGV9j dJNG4lng2/MZcghkpyXvMQTijYiRdm5Z5JJxdj0BHVrvSMxUAqi5VpikYYkg02rLa1+HwKPMSFho 7t8DsMBa8TXLD7GVl+6wDrZ60SwjBez6kodxz//JXTnNez2SlHx5uL97fngMjlxI9tN7hbaOsvUZ hWZNdQqf42lJYNUpjXMs6io06WMYvzBf+pLnF7OYnpsGQoZYdYcjS4jS2io6ePZb21T4H05rEOJd YCWlyLXCXGBpxY2ON9FZ9MUNfOsilwVuhdCwd906w6ArkqS8Yb6Tx1iRB4EHrih4VNCYXB+atKnG ovpSWu5PqD0Hlog8R/SURAZ4XuGke5+OtQQiHaJCSa8GN44Hzi3HYPF48+GM/AsXqcHRvIosrJSr lELGogxWEHTbzLcXNRLdnxymNhH6x2OdxvN9PP64IqZEWh3W/uE3RpnCQlaRikrc9Fm8RuBmDcSu qFwsLNs7tE++o2BJsijybGXYzDNFcv0L9jEvvuCWH5ZjO/+QNXu3WxjB/zRpKrRJ0PVNVVMdpxSp CO66Oz87o3QAefX2LDkbQL0+W0QBn7PkCJfnUybiXcBG4zkzHXXL9zwdsDgMporJYrFmZtMVLc0Q ms3BCPQkoKoas6LzMBnC2lnObK9mU8XbCQBWnbG8l4rjBr6QFa9r4PsqYLsBUa/adRglTQpA0MFy +wyPYlOv6asDu8IEW+rVMzayqbnHlHtVV4dTrBZbFXJZuJQe3ixlQkH0RHnoqsLOS6Eur6/Ejjd4 eHhJTmFPJYazqgErii4yzg7nLeegiP2KpmlMU0F206AbtH1QnqDCHN5VDWjXlHfpD/89Pq7ARd58 On453j+7GbO8EauHr9ivStLZvmhAstm+ijCd/U1KNNUgUvInO1NxTiW9h/QZ8uTrpdN+h0szumJb 7tKrgNkI7ds8id4G2HVOH4tGXjr+A1RekZW+eu9jEGxsE7ngU4V8qUaBC0xws1+DEDvVhndQatvG BQ/Yyo3t+/rwkYbWvRykr4P6ubkwypCSIcnLmj7BXiedkOfV5LqzkUN3M21o/ORpw711MM13ndpx rUXBadkpnAWYx0T/GqVg8UtmzEIocIihrbVhwdeBdzC6WmJdsvkDlqWDL79mIEJLzFw+pzlIhjHR 3PoOIYj2x9g2jRbFbLVHZAQPTXY4zYkhW681CJZVi9tsNxC/svjQx9kqvxxoTdoGjEgRTy3GJeRr eSmbHMVGpU4n/XIqyDfBWC+9t1B9XhWyNVk6bvHPLhxo+wFbYxUGe3ajTpDBX6k5T1rJGk50O4T3 55whR0ScELnGpsOrYZXg77j5c7RaAs+jQQDSRtmHymOqPqW6YbQ19OGtysfj/3073t9+Xz3d3nz2 eeDkW3vxX2pBSzw9MhYfPh/JNQlsQgsUYYB0a7XrKvCh4XwDtOR1uqgQUFmebjEPiIaaWnK7PWqo v9GAYHwj0k7owtt5Q+cQQvzQJbulyr49DYDVb6A/q+Pz7e//IMk4qJRPAYmLA5iU/scE9RAsP52f kfJxf0yDFQuidRBp1FmcOGAXQJZ8mYVZ+je4u795/L7iX759voliDVfgWsi09/TgoY8n56AZCZZX 2os3PuYFubB0l+ZTcTMs7x6//Pfm8bgqHu/+Exz08iI4r4afcebTY0qh5RXTLpoLkrBCClEEP30z RQTCizcS0jyMVCGUxeQHdsrXi+kMhMmN6ERWpuxRedXl5TrmT6FDNBzU5ZRaV3x8gwRfnMxwtDJE lPb46fFm9XFYuQ9u5Wjv3gLBgJ6teWA8tzsZmVOshQv9PmzqpxjanUHhHZbdgm6METvr6kCglLSX AyHMNR24LpuYgzSx2UfoeMjoC87Y1RNy3JXxGEPJGlTZHrDY51o/++Q8JI0FP3jZ7NAwGoqMyFp1 YdcLAvclhIxW+XJ91PiOJwAtaNF1pJt+a6ZsFweOy4908Wi5GQOM3f7t+asAZDbsvKtFDHv19iKG QmrausOw4PrXzePtv+6ej7eYfr38cPwKEob2dJbZDFGEL/IO0t8vPEgCDS/duinfPkCc0gBBnz73 oVt/JplYiT8h4QcnlvHgrMZfsnN1F6yIlQs30noyl+YOZNFMp5SkrZ3lw6a/HOPBeVHJ3VcDjeiy /ppTj3dNiJrbVtcgLVaUQVeSG0YozbEBIHH8vY3PYz0UDydTCNWk4T2bDkxgmeqCK9vaF6sgx8DY 2RWuo+tBOx62lk2XohzHDaRZERL9H8aeYt2qNnEjBdJVHyH4uzqJuBncjsU6Qt/sOCcwfCh3LiD7 Om7gPMjM/S1I323SXW2E5WGj+niib7riUDOMAt0VAv9EzNJILHz01xnjPYDYEfS0LvyheC9HYXzg 6XzjVXJ78Orl4oObqy6D1/FdqxFOij3I7oQ2bjoR0U+IKj0+mEsDtiRhacB1//ozf/dEikli/KHF S/dLFNbzpl0L1P4ENtGbJ2XbQQ634X0+7sovSTReFEiR9NLltcG36ffnlfFkeoPRCxdWkCKK/jl/ 4LWAK1S70GLSR2bY9OzvtQ23axO0qioIfWrVDM+R4ASqb9MhFaz4kSVCwgr3tQIhjJCzPpHJRv8E HJdYzUIR//bCQvDXy5NrY4iFDg0U31tnxLbzgGbhplNswed3nGIFVCjgMo6mBvtZ49EOOpqh2Piz dF3TJnkiHlsl48KXEweHxLInxAM6OZRRpfVR0+w9iuEsiufYHEiURxUtFtzQGWKrMWpfwio71FBk T40dNNXFHnkvbNpdhE9NfXoJvqTJbokJJUmw6tGOHI8J4ml6eeuvdM79KKyM8AXosR0xzByzNjLw qMBGrPui8etZftbjWeS1xwQvE76PILXeKCV+JjSKmqCneohB8wQYt/6+uL7aUx1dRMWPe8lJPp5C TVPHBmjIdfujnNDpjoEZxAdBfDUdduBNFNIAnKybkm7p4Vh3vtlDILmMmT7j4IPsXO1e/nXzdPyw +rfvWf76+PDx7nPQEYBE/fol1s5hh8CZhe1KMS7dp3tiDsFr4CcyMMQXdXDT9ScThYEV2FGJdwao srgOeoMN3dNHNHozQl+nFwJ3s7vDjvd0q4unautTFENwdoqD0fn4SYqFi8ED5cJVlx6N6qf5Qmtf T4MNnVcQnxmDrmW8AtUJ6U47UjdOapBqUPeDzFRw66G3v+4SaHzqkYXnW3i/yNU8NH8ftsINN48y s04CK5HN4ZiqrrWg3mKG6ux5cOI5EGCjZ3q7Bgqw98rauN+cEA2HkS4O0uEcrrLo5fqrZwKv5oJC H+I5jfh86bppz7aT7xfm4w9zSxOzxm1TTbLtHtHeRAxWJuq5TxKMxaxZkbm5eXy+QwVc2e9faV+t 6/z3yUSxw7tX1JHmCkL/kWIR0eWtZDVbxnNu1H4Z7btmFpCsKE9g3XkchH3LFFqYXNDBxT71Stgc m3pTCV40QEynBJZpMaEW2u3yH1GYQpk0zeCWCpmeACKWj4LM+keTayv3dY3TRKatf0CxZVqyH9Bg bfPUO+KnXy7epTaA6DJZgaG6H0l1YN1mJTxUGfke6/YzGIb1tFjYg8PbuQh059r+gy5qujj9RI9r 4DmhfENLAXEpzj7VETFRbQ9ZWOEaEFmZPvMJhx41efychE/Vg/vS4c1aZupzUpKqe0OC3dXOX85a H6bDdquw6KEl+RyNc+P+YdA3dRWcLOorA5HSAtJt0wJujNfcN3yKqfV7IlnGxA/rq/SjM/gYTuHx AJ6xV6xp0BOzokDX3TlvnApdhytzXcZL/N9wfS9J67tprjQwp+88NX84geJ/H2+/Pd/89fnovpW2 cv2Xz8R4Z6IupcUUahbjp1DwI+wgdfPFssp4CxGzsdm3C3peJteCRrs9GGKVPGTZF2pGeV16D/eS 8vjl4fH7Sk5HdPNmmVN9jFMTJPiglqUwKWLI8SEL4CnUzp8uzXouZxRxWQ6/1LOmUVY/Y/rdD/qt AtKQlLKJvhvJeluGfdRvIr4ZBoshV7f7+VKrEBYINEdNDioSic8/5a5O20XXi7DXzWlCZ8cLfOS+ d5u+uu0vRCjMYsPSGikqTt7EpO4aDOLp9sV/hqjQl2/O/rgIlOsnrrGEmKSzStVVllJBXwu2m6YL y/x5xZnvKKWDlxqWFQlTzXzO1ZCGOnbCuY/YZHMPYvFqnLn8HyIxySLOdaMUUZnrrA2OYq9fl6pK 9bRfGznIxkTcw8arYNLbzuQbjMSYFJ+4XeJORIcjEToaiATXOiyouu8hJIdz5wqOZCjsnUruG3e3 MSyXbSRYGIHnIdRe40WoXVSN9BfEu+HLRFMWjt/GgGB9I5n+f86+pcltHFl3f39FxaxmIk6fFqkX tfAC4kOii68iKInlDaParpmuGLfL11V9ps+/v0gAJJFAQnLchR/6MgGCAAgkEvm4qkWBx0t9GivM ZdS/Uo41VKl7VS8wGWtSHCQ5No+EGBeiI1p0fwVgamH8fq9c2MZ7DLlwV8/v/3n98e+Xb/9yV2yx Bt2bbVG/xeRjxrIj5I4e/xJbTGkhuEhXoB4VPwkPOETuatJBIDM9C+AXWBxgj3qJsuKAbGslCFu7 p1J1F50hGUHi/LSHq+E8frQIavF12E1/AtSgowWkvLGQvMF6eBjS+/TRATyPTkGe6mJTkV/G6Ic1 KH3SyCguqak/NUCLPVezdP40GxUlA+LP0d9uM51NpZkB2fmCSXn+xAXj3DQGEZSmauzfQ3KMXVAa Zjtoy1qrO/MGG/wr7ADSVFqeesq/SnIM3alC6jt4ed1uK16WECgFVt/nzifbnLscQ6fErRnwrD7Z rRTQ3A5q84DhQbNMAmqWGVZXChu/GnrcNJOcTb4n2ZNVgnIeOl0FFBJ059cgnjjCuD3QVUDwtadl F7oggGJ04W7pkV5txCPFfw/TZCUeMfHEp715VzLKNyP9w98+//nby+e/meXKZM1R7LHmvMHf0Xmj vw84C9KmjZJJBdKB1WVIGNVMeOGNMwk2eK2ZIHfpnEjWQqJwZ8ihTWXebGxG7zTYzCh+M/Fl+F+b k+alkuR+lgJUXw9qJKxTTaFDKHOLKpZ40LXasPq+SfBGhU1ecnHYCO3npIfNUFw8XSCpQsSg3Cln BiuckZo7TTFV6/Eepj9kMSJg1QQXviDa4DWo6Rq9Jmd4C5JFxIlCXkSJ/a5srKiSgkddHVP60ca+ VR6R4VSa81Z87bE9BSU0fuVSlgHgLo7z5M2JMG5uQ7IcsIVXZHOTb0nqb7xPm9uiI9ccnz7/27IG HqsnGmBWb1Vg9AePzS0Ofg3J/jDU+49xZfnldrNiQG1FcmLBSkTrCn0FwPaMOuH6+MHNyGnJT7fg J54sZ4F6vLXWtwkdW840k4BfQp4WRYccme8aBLHPeOoZpLa+dsp5diXWmRGwOnCXMY0zRwRMD/MY O/wArWAejy0g7ttwE9Ehv4uwo16Am3Nn3+aJaZqgfg/5oRSzrKrrBmkZNLVsURs1GmfUsV/Z1cAH y5m1MgBENvws3niIFmHwQJKTNK5SMiJ9YYyw+BHinmQFdWTrw7VRiDXGXVhzrC1Bd1PUl4Z5ouKm aQqNXlPB9dRkVc6pcil4+PP5z2fxWf+q1cDomlhzD/H+Aa/EAB67PQFmpgZvRNXEQ33O5R17Thv4 jwxyT6M7f2RpPTd8I90ygHeoD1TDuvSBukmbyPvMfcd4z11QbDtk/cx+dYtBiP8JVTDhngP/yCD+ NZWUU7m2dcHyAVrh4uKMThPiY32fuvAD3YngUH+tF7MHxUKWZffUWXsuShU6HilD/2my5SlVSLRC UK6Um9Ua7vylta3z4BMzgojRNm5bGXXpOxPd3hpp3L7csehCnMlqqVO+8gDdwA9/++f/HT6/fnn+ +jft+vP16e3t5Z8vn608KcAfF06/CAhsL3La1Xrk6OK8SlLf4RY4pFC7omrPLleKnZZosdWQN8qs JmtR03lUy88eIXUib/AQywYWZoaFEbWDBk+d1WR0FWnr4iX4NVsWOfJoLAlXmspMk2J5LAc9JyiR Uhc/MByq9yCZ23rvHVNgAI3mlcUYWLiQzEkv+5GhYlQzU5QyY6ostzVTEr3f0+wxPzmbkGx2Q+ou RjLIAG5lzqDpR5e1s2wDJc+uvbQ6Jmm9mlP2YPnbI4YuHjWq11ZL8fUb+oHY2LaTCsy1eV3gqKBi v2bSigOJVxM6/vdMnaYMroJ5yifMY/4ys1T0AmJwlLaWj3iOuteg3swOXWZQRnes6aF1k1Znfsnp T+zsKCzPtLZyggshz2o/sZEkjQaoqjDBUe2NKnn8JJjT9lwCbDhwSuqQJMfrSqJ54+oGVEBrqiuO OFCOnICy25L07J3DxRJyzcBx2+LSPA9th2qF3wMnwyNJkmjw/BISKY+WkrOKOfLwhd9DnZZgIjIc oLNInUdrBo5vM5lMwlT19A3qdW3uJTUXtLhncDi6ZqlBhED+/NFyBNs/oOHQ0X5pzQZcaaWsdOzX pP4WzANVHAZ8D3P3/vz2bukK5Fvcd04qDq0ocEpaBPNqZz6SlS1LpKCpDcs+//v5/a59+vLyCgaj 76+fX78iexgmDklUN+IIAeCa2TJKSgDK3rwXAuBwwb8/BrvlDkM5V7p81RZx7kqe/+flM+F+Cszn 2NwxJNITLeRFzKibdaCJDwHXELMiBpNxULaa3yjQsiKl6j+0seeACNT7MwNvmCbO04zes+VjB38b 43i7XdgPlSDYmV8rRAQFl52c5fBvltiVllda0aTsXr8Fro1/ZBCVB4NpybHN1gyWcc7sB2dRsFlQ Oh/cg7i6sUV2ZVNLqZXFYKAa0hQ9FPUU1K8K3e5MMk2igoWabHVm5+ExYCE6OUagMCK8ES2CsNf/ fPr8jL5TKHzMl0FASfhySOMmXAc97jkN2iM5wSoklxKSRi9+txm4FcpeVl3s0sm3iM95Wj9NCyWI zp0maCcSWJvBjkyLKqJERYbHEZS47BqrqmOe0OkegEYbeu8hn42fknhLlTzraKFx3xlSk1mE8ndV 4QK+/vn8/vr6/vvdF9WNX+xVcd/ZsS3hleL8xNqOwobjioT3MXc6TZNYd1xSehGDxduEgR02fW9T kq4IbGzfLWMHK05pzMxMGgo/H5FxqOjz9oxsMLz9Zux3mRABWjKPoSDdmzuZZ5/P8v3QntB90CVv 0wIZZYwInCMMFHzXsJGfhHB+Ignx5tFhys0tLDuARjJAMlchIZnVs6RjL47F4PtNC4jhOFxYW4kl ibt1S38D8SIyOwRc76eHZE+wgSnn6DkELNKbm+CblCc00TpYTJS4TZgbAH4iX1AXCzFz7BcLkcY7 bUwQ2his1mC4C5o6Gbj9DNeHv/3x8u3t/cfz1+H39785jGVqBq6eYFhazLGcCGSWQ6JSPppP+Wy6 cI1OvBibi3cMeuwoc1/JWPBzML7sPjelZ/V7fAUM5lVz6hz00NjK0F1j/57NvpHEvFNpmTyH813j 5IFgOU54JH57451JoqjHkhZz8HQ2Z37aHIcC3y6NGNzud92j9wkjG3w0tK6gymL0Q5xED3ln2s4C WJlroQbA2NoF9Z4w96LAj7Eb6qh6fvpxl708f4XkG3/88ec3raC8+7so8Q+9pBp7ENTTtdl2t10w /FSUUBSALGnsFghoyEOPTlPQm2q9XF7lgNVfvhw1F6AVndtJCoNqSdztv74helqBRC3L7NJWaxKk nrlbHzNz//rJERgraZTyD384eWYAlB3CiMFZllJeQ64FbRqrIXGkFvMWJe2ReggwfS5NzzN585ee cUpt5fiMDFnBvrc+Y9PitDt2gmlUv/juG9M5E4+6j/ccGxWzJb+n9DFK59MwRtn+oTPi4uxk4uAB W9L+RCk7gcp4U6JqJELdV0w06THFRXvIWY/ZYE/8KWY6dRdiHJqOFrllHC1OnZOAAuLBvd0r11IF xODEqEyLdcBOCHrpqZ13ZlYeQKT2xQZRilEAhPCI+126skhxTGGYmNdn+w2ErOVpU8OQSklWbse0 GYPsNMQiC9jn12/vP16/Qk7HWbBHz8868XdAhuYFMiTtdvSWE2FOHYqHuIcsQL3TouT57eVf3y4Q hwoaF7+K//A/v39//fFuxrK6xqZcRV5/E+/y8hXIz95qrnCpTnj68gxBzCV57ijI0TvWZb5TzJK0 Mi9cTHRIG6cTRhIc32V3+T8JxEoHZRVd/nEbBqk9fyToVO8wpMgR5/arT5519CSaJlj67cv3V3GA xyHy0ioZo82gxo74jaCKwCm+P/vAiho1PXhqytt/Xt4//05PefNTv2i1tvIWRZX6q5hrwMdFV+Wj EOmOPsQ5/YZQh7WY69f45fPTjy93v/14+fIvrJV5hOQQ1BAnm21oaDzzKFzsQrOB8DCwpFJRBwwB mTV5YgrHGhBCIFcpxSEP73Jhk/Vq2vZD1w/SzYaoAkvGc9FTqS6YXRq4QyA96EiQDu9DbN0vqLzJ T99fvoAXpBo3Z7zHKjqer7c98cyGD1J54DwUSmwior/NomL5C6nCbS9ptNGfp81zjLWXz1rGuKsn d4rpEScVl+KYFg1pDyl6qSsbrP8ZsaGEaBakMRerElYoY7tx3rTqSVOoRYhjNhkeTfEEv76KpeTH 3OPZRc58pMUYISmfJZC5eCaC+x2bHmKkLZ1LychP6oXNtyIZSMd3p8AYf8GqTsqi5JjZrzvpcWSQ BohFgNwdp36X6kuZtdFj4qH1m62t3kQMsA7qaoRIAxGD6GWzHB5qPtyfKgjq4ssIJCtTMRZ1lTIG HNFfqqKRKR1wIDwj648UrGQtNPl8KiDr2V4IBR3yYmjTA3KtUr/x8UVjvMhL5Dc44uYxSmOXwIFw mMnxOe2DW5/4RBJQqbmU2Lx7nx8/sHNpyIAQ3E6GT5ITPcNzFoiZ3OllcB9yrnnWgCk8rXM4Luu+ M32swLQCnNxKy9HymJPAtFaj8LL2AVD8Uzl5tGSOaRX1jZxrh8oX46SjLoBrpD2pM3D86jxRGgX1 vt5/nN9GADoSH8K0uzbC0LjX2WCZZwpEOXxTmU3sKPEqypod/V1D1HZteiBJ9yOtIpuc8sZUeNMF 6syMY9rrMCgOMFSnooAfLgXdziRtjWxqRiaQSDlPxCDlzTLse3IEP7XMc3GiazmVKXVhNZLBisJt H6DSrVfGXZojbI10ZTFNl03aPbp8hN+DUqZOcSuvtrjaXw83w++pSTtR+8htU2ueDg1Qv9+cxdOk SQ2o6dIsRwru7+PkbA/gCOvFBqKSzVImYrgQ29s4qTsmpzxoRkgGbciyJ22fp7bvE+JlOZavJlz0 Ntirp5V7J1Wdy9Q40OmSgFo3GtPInU0HfsmoHGpYd0TKQKAcLyXpFC+JGdu3yNdSojj8h2KMLQD5 NymEtQdzXTZAONvz7tienNZpOkxxWhtpMNnKaZIpo+6fTAbV8FkxaHa+Om2/vH12dx2eVrxuIRUI XxbnRWiGC0rW4bofxFGvI0G8wZsEtZvPn/CpLB9huSZeId9DqGhT+XJkVWemaOryrLQmjIS2fY/u ssR475YhX5HGAmKzLmoOef8g9xTcQ8+1HYUIUaBbA9YkfBctQkZ7VPIi3C0WS/RwiYWU+mXs4U6w rNeGMcRI2B8Dy4pjpMh27BbUBf6xjDfLtXFATHiwidAxpmCdOCimQxo3S31SJ6cZt/aAcSDMgz4W GpVeaOBJZkZqas4Nq8x9Ow7tDVUhYkKIR7J2CAOcgkpFSUmFPFK62huFi0UuRBbJM0y7EGm6m+PM 5ihZv4m2lGmTZtgt496wNJ7Qvl9tiBblSTdEu2OTcnrr1WxpGiwWls/OGGcF98TUrfttsBi/iLlr Jeq9RJqp4nPj4oTTmb7/3fNfT293OVxC/vmHTKj+9rs4J325e//x9O0Nnn739eXb890XsYa8fIf/ mofZDhSv5Bv8f9RLLUx6pZm/T3AMlEn6Gsq5YUzVhhahCRR/rpUZuh7161kdm88lafojzkeXB3xe Er/nfL4q4HabxrAvP34wsu+l8ZE0AwWlDSvierRqmoVtoLSQ+I22QjqyPavYwHJzG0CL/swJMW3N UEbqhxJZvz4/vT2Lip/vktfPctTkjdKvL1+e4c9//3h7h4g/d78/f/3+68u3f77evX67ExUoFYiZ pyJJVax8HDYJYGVCxzEoxBdCLpYkjsJdAXJI7N+D4pkHfEIbqruM6nGSR5NwTVIUdFF16ikqc5IQ 0wxeHiKM57XKTouaKw9imatPhN79/PvLdwGMq8Gvv/35r3++/IWVi/KV1Yn9SsMNyz+n5XGZbFZ0 7j/j5cQZ5nrHyNNzlk1zSkxY4x0I1bxZuXmTpn7DjIcjbt1a+WzGYnWW7WvWXhuu+Y7DLiuWwk0Y uIT2EzZetN7PiTsHNJbGmxDZMY2EIg/W/ZIglMl2RQvXrMvz/lpPy9EiHta1ORikuoRj0y03Gxf/ KLOvOgEp5WwRbbg22F0UbEOik7ooDJbkxwGUa1VWPNqugrVbZ5PE4UL0LoRDJps60quUMjyejnjn ixkiboLzvESRuWcCX68DYuh4Ee8WKdWfXVsKcdDFzzmLwrinJkgXR5t4sSDmoZpv47cEYV1HYzXn M5IxX5X/i0ZalsMa2Jnx33hsJmCRZdDJSCL6Vt1C9QqFGqNboZI6/l1s5f/+r7v3p+/P/3UXJ78I AeYf7mfOsX3xsVUoaQs5FjETao8FDmQ1pIeIbP50DEDSNlBiebHi04BJlqI+HHymUpJB5iOSOlln BZcd1Y1Cz5s1YlL96I6ROPSRsEpnRFE45Irx4EW+F/8QBHkFzFGkf0lqm6muSZ6w3+P/4A66yJzL +GAEFE/AGEmT+bwddx81KP1hv1RsvhEFlpVisdq/r/rQJuzTcESc1WN5GcSH2csvxj/Gx4Y0CJE0 UcOux0v5iIt+9tfJYnrrUkQWQ4ucSlkeixMwtY5O5F2P4uRKAPYMDgYe2h77wzK0OSA/M1jlFOxx KPmHNUoaPTKpo4S6Q6T0q4itFBLPB6KSNj1o4zewn6jom47xdXYrjw5TLXrnq11cnk8lHUpGLX8N aDMoeVw9HSIA8Uf742FtXJrLklpiRDtCAyzFwVMuwmJTUpklZol+JJXU+XuiThnsbYL7OYtj3ZJE Q/jQpV2m2OGCOX2CWeoaPSSWDnGC75oH+7M7ZfwYJySIRaaRMCSXGHwoSaIsRcirU+EYLCIpzwqX dXzOTzHvORnDc3qsE/NDrw7iWE1r/NSadOJiFyGlc9XTj+3eHrxHczXXp9HmjNc1sbZn6IQsATJU nhq7Clv7TOAU29xXMin7ZbAL3PUoUwZvnsOpZDkk3fGDs5XlTlV54308BIQ0rwBHkFnpzdULdemV FYM/lutlHIllKPQ97UEO1iC+h4X1yIeCId1xF5eAhUi0M0DbkmKqxNmOVC/Hy936L+9yBA3fbVdW dZdkG+x6C5xvBZEYV8b2NofJEZJE1dzN9CvjqtSdgnd7PqYFz+sBJqNV3ygt+G1v2JEF65AeQs2i Z901lgfni7M51ExYk8ZzqhPtaZschzYx0y2PqAwc68JpSfCy4sQc2cqS7NHlDn0HS8alU3cCltZc TMd8TBQxK+8ECnlEyDEEYmPPUADBVoP6bEavaufWRD7G6AQtF1pcJqpEO/PB2Ylbl39KO5Km6V2w 3K3u/p69/Hi+iD//MI5Gc/G8TcEkgLIp0aShqjnybbtatzEI4ETR1fyo7Sw8wQy0C5yxlefYBVqP GX2713oiHUHkJ/1YpCQFGG5ePHeFpS2VI1rBKkYt5EBLq9x+kICuGPGOHN2pAgOk1mPTAmwwEsqN yvPwT1YcoxHzqr6BJnY2cbozo9HPoPSr4CeUNNOi5km33QaLNeaQaLgO7daM+NUWTUxtfB5QaiFE pdvGyj3jnCXYjANTbgzHsW7zT56bdNkC6pQjB0jMz3CxSO0nj7hsMqg4C+9knVg7OAJABtH5Bh3R 1ea1MGmml4H67ekjXouTPlIPSDce9/NUJs0vb+8/Xn778/35y2jRx4y8R8jqejRv/skiY6NSyDtY matdmdg+Tee0gqFbxjUyR5e7lNihtmg5nPFoR/T0uW47UwfYPTZHK7q88UiWsKYj3aJNpkOKVSdp FyxJXZ5ZqBAn2FzUje7weZHHNfcFfZmKdinOU5NWdiZ7QIa6lAnQDpB8hp7S6sao474YMOMTS/bJ 30fkXmsyPJxY1WFZhj14oveb5drY90iYNDV9sDXZTm3d+jzcNM++rVkSW7ZCKzpa4D4uQV9O6uOq 3swnbo2HHIOlp5ip9YSfA2+VJ8U4Jx6FxF5ip03BiLMSVODqCuXohgNZBW66GstY8iUxHUxJEr32 JahHweIfN89jyjGX0k4C16uO2TnHoZK646kCo1eY7g0dDNhkOVOeWibD/mCuDQahNQlF/nDKfcuU Fu5NvayS9ruAwobgQMBLAltRmA6aZKh7Rwr5riMZJTQbQZ0gZzrF2+SGp/Gc0o94cyGoGuVSZPZg 8snUHIZq/ZCW4rRK7AVxD05IBpAgslFnklrP6k5Fbhksh8FiRS3LI6v5cygvWLxXYEkfCCSxYg1R BFDIUizW4vzAPKtekq56Q4665NW+rpIhWhkn7KTcBQtjkRG1r8MN0qua/eFx/jNY0vKEr8PS0DIW VYj3o9dk8Q9RaJ8u6WVEkQtwoyNjHis6v388sss9Odbpp/hoDpj6PVQNKOsqsR2XYNufWi9jVJCd PuYdP91akw51ffDGhNM8xxO7pDnZzDwK16biwyTpgA+zyEA7qaX6rhXxLeiTUH6gwokK9IyDYPc0 n4BTm89vT6io1tqjQLlM0C1ceZtOF/hY+uPL6Z4sWXtOC18wz5FJcLDKTM5XFv1qMDMaawDHoJMg VhdIyFEfTYzSa4ZSWxf92jFOkmDWHCgRZSowWNpxwFNIiu6LZaAZ2r7K6F6VHOAy46fqB9uygMOS NzX23pck/wwQZH5xDvMzMbuQnwvcw+Pv5Z5H0ZoyaVQEUZdxdrznn6Jo1dumQ9YDalhEbk43YORp SSkBTLbH1lgT4FewOOAkSSkrqhtnhIp18CjUZgVR5Xi0jMKF5wUh+G7rsxHHfG1d1aQxmMlmrnj5 0EPE659aeaPljlrnzKrPQrIyZAOZ/zZJLVvnmb++p3pD8Ne+04NO05NWByHI3DxENGnFIXH3Lb4r ClWT6wRWbOTNlsHVJqaP0GZhigEmWwoHOGOPjILlLkZCDyBdTcksbRRsdp5qq1RdbFFv0EK4R9rj y+DirOQnj1WAyZamlPmzyVEXYqkTf0xFuaky5RDBIk7AwAMtlID7T0RTKcJ8wWDJYLR8B1+eF2Tw N8SCr+9zvqP16TkPdvQg85JbLuhKO1/GuyDeheTbpU0eWwLF3AZR384Kf4aJK9JgG41JLJaStPd9 5LyTy+TNwT/d6r3Hqm7QBTNcVvbFoWSoS2bUc89m1Nmlx1OHxXSJ3CiFS+TgIHuRaT24J4tIV3hC HBq1nkl1osFwyT9ZS6lChsvaN7wTw5KcaEblylx97lttvs76HGI2xw6hKERXIQKqrKW0cwCHOPRo liSknW7eIGfHmiUthFdButwZFeeHFtI8gr2st5v5HqRl4mFi4KzYKgCYd8wXgRjn/TQB68HDAXxF TUKW94KEIJ5N4TjLPL8TNG/wOVZaZVkCV8VHFGx51J4BTmmO+yja7jZ7u9io1/IU28flehWsFvj5 AgXrGQeMVlEUuOiWYFXRWK3ujPOYJQzzaiWA3e6EnXOi2fNRIW6KE/e8VdF3dn3Kgr2/sEdfGbBO 6YJFEMS4gfpkQYNCnLMIUkR1MSlV2o2aCV3gadYkaOIqK6lBYNaDIJBS95GJVb13pk8XLZa9tzsf xkdQEoISL/CjtHBggUImoN4TthNP5bwTR9ne1LqkLRNzJ4+5MyUakGxDT0VA7eIoCMhiq+hKsWiz JQttdp5C57xLOU/xy+vl8SC+9rA9qLtLPCnEmWS3W5u2pKUKI3FGMe4liJyY68y6DRnLtei6VJbL uz1DMbIlCpfSVY5WbUmYNKkmqKPJGZfoAjzmYMaS0mGnJYflhiIxMfAQDDAnTbiAoY71JQYulzcP q0WwI+fqyBAtNlT+GEnWKttpBRbYXfnn1/eX71+f/0KL79jbQ3nq3TEA1Iquh0hjSrMeb1CYp4SE rki01Hb/3LslCNrQNzGyLiX4DXGwIRMYIYUmL46mwAxayTFIRJpYBGm/ZmHgqSL/txn79fj69v7L 28uX57sT30+mztCO5+cvz1+kJwxQxtjb7MvT9/fnH65p9qXAYVHg93z5Vorlh5ZyTDaPWy/mKcmE LyaPcRM0bmerJfoBnxPOGwDYiadcUgZxTBw4pzQmmJGuwl9SBuc6dbXKEI6bJGhSE+Ojy4ZZ37Us J2RXj8e4ph7Jey5BxPEpATleWhyiGUDfPb+g2babE3TtVWeOay+suZw2apxqqSbdbK92B6CK6sFv YOWjA8ZiZu37RVR1rYo2LsVJxQwUDKa21mEIsMxarRGRCm5qkJO9sYmY34d1u8Py1vo1YI8xs6yU wm5+pTKrsDhV3/hQtQxmPktIm2nbMerifCSJrSGvIBQPVW4iemdBeYEk7ui2RUMypARZooju6a6U yfOQ5qbsthtb0wwQnscA/bUI8e2dAp0wdgq26vsrpPlCi2+xtIBgTRYM1phvpwBydEkdK8HXMn02 m499XdiT5zhUzFaGtV0RBdECV1TI6GTUPGm7SxSZpcVPa0QUhiyyFRQJ8XRPgil+/Ih7Ikhqhm24 TK4yRGFAXpUrsnM7YcAepT/qSNKtxOTg2Hv9EoQ3R8fM5XwpgnAd2L/t8AiAko4cghCZ12qXwooE Ln+71c2N+fSYeLwiTC557k6rioxLp9QbLXvEa57GL8VyTQZcmGNoX1Rs36kkGAwPsKBQb4xlJNFG uYBQWpTEzO8IvyDdiIsMlj5d4nKB91Q6ZK1VixA8nRroHCjigxEThD8aa4d4o97Yx5p4uVh0tbGf ZKwFj7EZENXn+Bc4ZsxBdCAtpbQfMGTXPbbIhN9KcAcLBup4V/biBIrcM/VN8ZBSS4aQcFeDbZAg Tmc4bDOEKZnj9Go050mFf4mFyVSAwS8VR4tgE2tpkhTpBWnFS12noWUA/oTTl1qKWgQ1XpCleP8H 0O5+f/rxRcaFc04pquwxi9FaOKGyj22cncuszbtPNs6bNE0y1ts47MeVfUSUlMtm49F7K7ro8Y+k kZauuEGnYYVxhtNDnUunU/Jv3/989/qYWvHZ5U9r91ZYJs70aVlYAfoUDZIp0ZmmFJ3LHAr3KKyc opSsa/NeU2RzT2/PP74+iRMkyoOCC9Xi4IGCbGEcAmObh2OLyuM2Tauh/xAswtV1nscP201kv+3H +vHay6ZnomnpWe1txoj4IlerAvfpo/SBNzt7xMQJs1mvQ1qRjpmi6GeYKIPTmaW739PNeOiCxfpG K4Bne5MnDDY3eBKdk63dRHRkmImzuL/3xAybWEBBcptDTmtP+sWJsYvZZhVsbjJFq+DGUKhP4ca7 ldEypO2TEM/yBo/YgrbLNa2umpliWtiYGZo2CIPrPFV66TzX9xMPJAME2efG467dzc4DVxdJlvPj tQiIc41dfWEXRquYZ65TdXNG8a5saNF3fkuxyNH2ucY8WYqP8cYc6Mpw6OpTfBTIdc6+u9luUNYP HqOXmYk1oKK/zrSPaR/MebZ090MjDlPehVMuvmjbBEAs5qRhkqTxtM1Z4ZZhTVOkspPo/VYywV3S bksPieKIH1lDGjlJagpCt61ERhRv+gqLjZdW3GmL8cz7vmcejzHJYa9ouJceK9bIGwqytTP5RKry pl2PCyZ0wB2xgVWsqOkvc+ZZUvb2MznJyarjet/Sbz6xHLKQMhmd6S22qEUEsYrdqP2Ui22grCnJ bGKSKiCUEXgi8TxJL3llxbqZyF2ZeIwIp7qlKdG1pwuBus1run6IglLQBh9zE4VomdbtnqxAEveM tFWcmSCrnXlQmN/vkifiB0H5dEyr44kRFMbFMTQgWwPC1+nWkPUNuzrXGg4cOEwxQRyyjGxD07c3 hizjOdv4v6UO4iwgZYRC4AMEJ5jY4+dgcuWN75LB4DqyShxZ6Q/TYLvfix+3mJr0wDiZ60QzqcVY TMa4LlfuIUEux0qupm/I1SYgDvOUhqjMbYtWCeGo1IBY+hOFldRYSFK2WFoVCES+Sm3hYaKj2Nn8 ZrIxjYQ2slw4jcqW1G2gJjGXfe1nX6+nC67x7Jv/Wt/ZwWnwSxFBky0O+XPIo8UqtEHxN/bsUXDc RWG8DRY2Ls7bYhu30SLfK3RWdUiczjSraNr1i6hNQKVKq4MLtPFAPoU1e1q0UGR1AjAfc7K658DK FHfCiAwVF6cqAi9WBJiWp2BxHxCUrIwWahnUV6rU8E7OzdQ5X3lM//704+kz3GM6AWO7zliZz6YH Sy2meiFDole8YGN8yYlzZKCwgRdpahz1jxeDe9YcdgZh2Isdkr7cOVV5v4uGpjMN6sZbJw+oQzmH 642hfpQZNOD6zfYjUzGdnn+8PH11dUZ6VUtZWzzG5j2CJkThemFPLg0PSdq04AeUJjIunXhVz3Qb C6hA5GRdwWa9XrDhzATkDWxl8GcgklBikcnkDCJqDArhYhDSHmudUI23W1amkIGWWpFNrqqVud34 hxVFbcXw5mU6sZAPSvsuFXIXGRjDYGNSlTec7Tx5aCQvN1+r7cIo8pinGmxF4wm/j7rIF7RK8dQZ GfdGxel+/fYL1CEQOaGlhYMbWk5VVLJ+GSwWzjArvCd6AzqpyDsyFo3iwLu0AXpn20czYrTGeJ7l 55RogCKMdfmbUYD14QNRgSLcroDHcWUaeiHY+y48DjY5BwtDsh8mMvVmU1Hr2OhjQ/Krpur98WPH Dp75bHHc7ghdAKcWdmkwaVTiIfuLNZn27JS0YkX8EATr0AxFRvASLbPZ86zf9Bs6ULdk0FZuDXfS YJIMP9Eb2Lt7Rn+qKCxrqpMCi9g2odO7ApvXwTm0m6ZmXEzmxvNaM/F2uyRvXkGQ0Wu1zRy3q4zB zl58aDJ3aSx2XGrDcJl+Zshh+/gULKkbu/ELabDe3IDpB4whe7AIYK+JcdcWjq2hJqpMXlVCh/6b lJJI3DJRJV9QYlI1HDjpdlN/qkvTnQnyi3QdsgqV93BDW5860mVVkTmyKD+exxRExFvCzQid7lLn oiDanzdlDufQpCDbIMh7bVGqlCgZujoUEmILXkwlAclsaEIiL1OSaiUnnwmsTCh4z1bLgCKccQgI k+AJljWzxGLSYMOtmdbnzTH16LZAgQn25M72rm7q7z4TIv08Wo9VLK9LPMIYmJKUrBpWC48zxszg iR4tjvHhipZ18mbMfU5+Y972TyrLCzsbE0BMDTS+4vc9AqozyucCRgLT/B2rZL3C0zOXZ4K5Ljul wbEhb2DF/D3ExxTUWTDn5qq7WPxp6NlpwpIv504ML4m6bGhnN8Ahbs2cEyMFdMjSVBR9/AZxvJSm FgGDrTqd68484wCx4jEGyCdRT0AMcUtJ/EA5d5Cktq37R6r5vFsuPzXhyqtLdxg5GatdLAaxjpam EbHzF4/Ibn1ExqRXY2JOd7LOuhk92O0JUrI2tG8+YoIIuSrlnXtVL17RvaFHeVniRuadFufJNj3k 5lgBKm9axFDUGAaraTMahcSOghVdVAtQ2ZQrE/TZ+ly2K/795TvZOCHW7JW2RFRZFGllRt3WlVom 6TOKjNhHuOji1XKBsnCMpCZmu/WKMlHCHH+5tTZ5BTu4SxAdicEkxfxOK8qij5siIRe4q/2Gq9LZ ET0ZkKeLoXFEoDb29V+vP17ef//jzRqD4lDv885uLMBNTAVUmakoaqH1jOm5k+IJ0tDNs0BvSXei nQL//fXt/WqmV/XQPFgv17jHJbhZEmBvg2WyXW8obOCrKAodShTgmwQND2VD6f7kYhmZ0TIlwuOj jZTW9wSR9VcYquTFTWg/XcOivbuIkmIlj/QmFx/ICVcpo9fv1naVAt4sqVOQJu421mdmyTQaarDz qxxdmfqCSFMta45LN8O1XMT+9+39+Y+73yBnoSp69/c/xOz4+r93z3/89vwFfC1+1Vy/vH77BVJJ /APPkxjWYXfZSFKeHyoZNhfvpRaRF0iMsKhUEGKLZc8ehXxMGnXblaEUF4KWlunZmoj2sWHEUC68 mnZPl8u93z5CTr6YkRohg6W9X/butCk7X8wTQfYkDE//ElvhN3FQEjy/qi//SfvJeOZJx8DKgLBN q99/V8ukrseYMHYdxJprzhZlxwAxKavUWbMznpNrtXdls7qpO5F3eUByp5mEdD4oigLJtyCHpjv3 IFazN2DozALL9g0Wx5zAeGE7AVW+NJN8QQBugUCQ985Kk3oxCNThG1+8gbTqc0oAmvsAiabuJAF5 rnx6g/kVz5uLYzcn0y5I7ZGhRwGsVykZVNwMTJu9D1Er/EHd1FuNn77zvpfBl/1Pkz3xtBVR58NF ZTI6WYKggBYSFDJEv3usQVR9BXbDGEGsTBSg1pNyHMYBKDUkIq9I71hBbXqGcubMmHWjIPDRARej PA4isaGZQcMkPKqEzfnSm7HaAOnB38OCrIgBgH16rB7KZjg8EN1nRYacJ6Eh2rkadWjNLD4D/5gv Vs9ea66KP0r+Rs+eQy7TKXaBpyvSTdgvrN7BK9EEyROr/RRFUREaQWnTtTW10cl5aefv5Y2pdjpy /AMdQdSVtJjBs1D4NkqNEv76Amnk5n45yiDj+HapadwAr03XiMKvn/9NRYYWxCFYgxcMnPdoLYRT fmyBc0oYc2ZrwnBo61NjnBkFjg4xBj8cFbJTFVuXp1CT+B/9CEWYF125nOtnkwvL2C7Gl9uQEmkn hr4JFzvUsyOFjIQ6UhO2W2xCqlwZN+GSL6IrhXleHbA+cKL0wZrMhTkxdGXW416TD2X9drvBAaNG WnsfLWjr4JGjjtOipuNVjyyU4Ocwxce0bR/PeUrfC45sxaNYpWtfLpTpiW3d+4xkpweyqqqrgt17 0syPbGnCWiEF0pZB05Cm1Tltbz0yFftRx/enlrYfmj4IGQTzZsty0fO3eD7CVWx7k61IL/ntdvFT 1eY8vd39XX5wHyoXlPb52/Pb09vd95dvn99/fKXiRvtY7GkrlqJjxQ7W0jb29MNJbFH7Nj9R0jvs 5mjL1oA4O/AOsimLDV2M1Id1MN0Q1Zl1dJJnDZypfKwlbx/0FmytOh4pQlY1ZngysdjaziZwOFMK G0l28vhJVJqnL2ZV1PMfrz/+9+6Pp+/fxblRNstRLchykHpvlKLQi49iIW6bWPcaemqopnulQElO LqyxBsWxjFBHvA7+WQTU+dzsBPNUisgtMZbH4pI4T8o99s6SKOO8nenTnur1fbThW2pJVuS0+hSE W6sdnJVsnYTg/70/2TTnDl/DtfchYl7FplJTguc+Wq8t7BInu+Wqdyp3z6zOmA+Z3U2j6s4/z5TU IQSFXzQVDLCuzMRsG0RRb7U57yKn+0zF0ogsg8AuqiPr2igPNvEqMhV4V9s46Wck+vzX96dvX9y2 a8ch93NRuCf1t2bBBkxq/opjD3lwN771BbUChO7wavxaG6QCeOkW1bhdlGDy+Ctphixa+z+Srsnj MAoWtk7V6nC1rGXJTwxEaHfNPtku1mHkoKLdQXlxV2CQ39aUYKhWhWa5M8OFaDDaEj04il5XlhDJ 4fEJU9PbdpRBvaf8X5wHdw0XlUYbf68LehjYfSLhaGN/SxLeBQv6MbvA21fdQ9lHG6fYpYyWdlzC cUVxh3hKoXt96F3FtRrmLiKdy1XvCymrttcTiEwCMd+HYONSUkUKVxapTeJlGLgDwWuIc1Z47CeI t5rOws7b4orFzh2Q0ZHGaQVpyjzLAemxrsjxchlF9gfU5Lw2E/2pfaNlwWphfwilEMy1of5oI+K+ Cx64w6FND6yr7QeU4ix6MhQdFzOSQDCoXU/2S/DLf160PtJRHAhOpTiT7oJmZOiZkvBwFaEDm0kL LpSMOXPYmuqZwg+0FpVor/ke/OvT/2D7BFGlVk2IU5SnNVpDga76Jxje0MzfgwmR1XyTBOE2EtCv kCsUYg6oxBe4uo2nCeGSJkTeRmP/AEyiPSwxz822LiP6yetFTxO25neDCYHn7dLFykcJtuZHhGeG cR6SmT5kxlJKMSCp/NQ0BbIUMHGvyhkxyejwhmoBYjwCfYbEwhLtwvUEz90uF/sBptCJjAij6FZ1 oMyzMdBzQWBO2OUXGzNTNOvE5/YojmtdtFutmUuJL+ECpdTWOIzOZkHjkQ9Hmwyi0MEKRha+pwzB xrcSVLM3Icb2CDo17R9CT/LbqTlShiFegO2CNfFiYviCrQo/7TxN06hdHrGEphA+vpYQ/8RgLZcu Rc6YBQrCMZJAnAq3tKWVZvF6pM/Vyy680uNFt9ysA+r58Dqr9fZ6C5K0k1eQinuzpl3ajSr9gh5m 2tG+6COTGPxVsKYG3+QI11vqzYC0JU1BDY61qN4dLyBEZuxqk7CLCAIv98vV1sW19Ll1p+GBnQ4p mLOEuxX5mY0moFfmYtutF9R8azuxNqxdXN6Envi+SVzaKebBwrxWmd7ZPlPMhN1utzaW9bZad5sg shcza0WVP4dzntiQvuRU+iblr/D0Lg6nlN8N+Nrxge3z7nQ4tYZywSEtCVqyXQYrEl8FyDsRUShd 9sxQBoswoOoEwtpH2PgIOw9hGdDtK4MAf8Quxy5cLahau20feAhLH2HlJ5CdIAibkG65IG1pI32T g+pBvtwuyDp5LI6itGg08fT5kLHq2gWX5ryPIFWZ+/j7YEETMlYG66MrHkyPLhNIJ9Ee6BANExvE KeAlrZSbX3XvDYo/sYAL07UO7vqGGLRY/MVysWg0be1SE27ds8yEwOp7mwFiTfOyJAvLvVwMOe3j opjy9T1kvyQ6fhsIKTqjCVGYHSjKerldc5dwMC1bR7CMg+U2WkL7qNZnPD6S12UTQycOS6eOdSn1 xGIdRNjbaSKEC07210GIdFQQCoMeEhUq46LKpRzz4yZYkuOar9c3JhqYp8AXcW3okJZzRD/GK6KV 4vtpg5CeZBDsTIg8V570/yi7subGkRz9V/S00xO7E00m74d+oEhKYpuUWCQly/WiULtUU46wrVpb NVM9v36B5JUHku59sMPGB+aJRF4AkrxTGUE+69JeIiJHYP44MDpiyVyKH5YARnTN2gSWPHPjBzmY 7Zk+ZuRFr8ThEsqUAz6h1DuA0A+4FlSOoUTIt3z6ulViMoTFlnh8OjiSyBPNTX38hChghIh1iEPU GhDfZ6bK+b5DhcWSOCiR5oBnyi4ihkZXwoj6JKkcy1DC4lhnGG+QvsMd2NrE9+gIN2NC2XbF7GWZ 6G+m6bx1AGqKXs9PU3liCBU0SlvpzydRlIYTeIGBOvAQYEr6y4BofKCGFDWkhgns7ckhWRpikgkM 9OZrYog+qnE0O+TLiFgDA9VjDrEI5oBLjPcOIBqvSsLAoVQHAi4jlei2TboTvrxRTFtVxqQFBUA2 LUJBMKfFgSMILXLdiVBkUafKI0fFXw6hPuYXPRGlpKtSchoZP6DJuGxnvmEPwChBXeJ7HKtMB/Jl eUpWq4rIJd821b7GF+zkV2tGvHY8NrtkAw58oID+uGo8lzxmH1mawg9h4USJFPMsqv58ggxCckB1 EHpm7It4XniA1wltohn7CYoQ/27GsUyan1kBaUsvs3j0dAmaPKQL47iuSy4H8OTID+d2nmUFzUGN ymMG0yuZaFs1ruXOrhOAxXP8gNiF7pM0sixitCPAKOCYVplNTb+fC9+2yBJW96U6fSkczaalOhbI 1C4cyM5PkpyQPd27Usyq3bTMYO0wr7sz2DG41tx8BBzMtggFDYCPR7lEqcsmcYNyBomIxu6wpUOt MmDf4vk8LEGpvjgncrC5VRbncIix3LRtE3h0M5el/8EqEZYMNgvT8IPTlyYIGakuOBR8cBYATR3O K8Bt3NlHEnR6igDEYR+cQbRJMDcBtZsyUePH9EhZ2dbs8EUGQqg4nVjTAN2lRA3p1HgCumcT6R/y GB0d+3MRrdwA+6FvMIIfeFqb2fPtdmhD5sx1133oBIFDbPcRCO2UKhtCkT23e+ccLKVTpdZYnE4o qY6OCk51IhQ4CpgrWjomkMjjb+lqwmDdrAxJA5ZtKMe/kYdfVFHijg+PlbZ1GvcEw1GtyRVsHGPo nMqPxOaHYntn2aQ1HF8tyvE8exIGx1ZfBtd4mjZucwzARwap65myMqvX2RbjRGFJd6sVnlbFD6ey +c1SmZVj7YG8W1FFvK9zHgkPn9yr5oqQZp3X13p3wPfEqtN9Lgc+pRhXeE7XbGKDexD1CQYs68I3 zn5iTp1gnC0vMqA/Df/1YZ4fFA90zMBO4ml2WNXZp1meqdP3hfaGvcaFlqMkw2D4NF8ebidPsfRB v2+X5wX6u72cn0knNz7wuFAmRWwIcdkxNbvklLaNMS8+UIHVca3jB1kiC12t/q5+Ni2t9MlmNjG6 EQY5u4/bZJPuxHd8eor2BPkIbHf38cNuT5vxjlxd/BHuen/KtjhIqUlgZMeA1NxvBhL+zSLS4+bP WrPfn2+P375c/7mo3i63p5fL9cdtsb5CFV+vcruP6VR11meDI8KcoClWfLNbtUSz9dd5BNIfvtOA 74iAKtgDZDK2oj6VgC7iZL7N24SOJjsdRenlQ+tjy4/IXO7TGFohpWxGenMMPb0+7JMOfM7zGs1W iCIUR8xlIvQG4nSj3ZMNNuLDPepMq+KBoXOkyjjqIypnEKn9fN5Ni3G47bm84+TTPq+zvr7jl3F6 wMdloBuV5p44irxE//5ZhsC2bCNDtkxOsKV3DT3KL4DCTO6JpsKHhWGxLd5iQTqrvK0SRjZTtq93 VE0GfbYMIEEpk3xZxo1sDBSvYAozJOA7lpU1SyWNDPdgMglKTVDGx6YrNUYNXrDYbGVsQMSN4Kb6 QDYSfBXJ+Dk/7rMdQ523B7kLfEutLEzqntJ1+NZqb/SuihtiTrAMZurT2eQaYdysGDRDv36WSwPU MAh0YqQRyzjZfFaqAhKXVbDFpvVov7LOcmNpt3mEj96a4SSwUGeQFcK4aDGz+yINZsb/+OP8fvky zSTJ+e2LNBdhaN5kViQgQYPbMkaF3jVNvpQCITZL6R+MuyZ6wvOvknyz4yZxxNcDKhOHByWXdZ6u tQ8wqNRsigODTO8iRY1vM9Ify0ySfE6owVmqe8ZSS7Z/TVNkWqKzqujmw6ldnZLckMaIi6WaAFgn mso0VUr7dKgRvkuflIbHNkXGmaoPb7pNIYW+/nh9vD1dX41PyZarVH1RECiCMeS0LEd64wQ2+WRZ D4qHkjjtCV4VckJxy8LAMgdg4EwY+op73Sux2TSeTZGkiVwF/t6EJbrGc6rguCGmgt66R4omB4Ti rdUHv1D87xAqMc4UfRjDGwPXdg7phTugotklptivIBW3eQExvnkxsFC3OQPoE7mJcYF6mmT0ibR1 3Gb3u/pOMergTZDYsIo6kkSqGgM0V4+yYj4zvPYM8Cb3XdDEhtdONm1yquImT4R6IQ0yrIpULmc3 Z3zax/WdGEem5yiqBH3+ZELnUkbsGNXiGFhOyaa9/6uMKYaCMPRnx43xjtUmnhB+ZvTh96qa4uin xmf0RTPCv8fbz6C9dqlpSw88d1lJO6YhGIZVGVqKmHVETy0LJ/ukN3s3CDv7W0UEJ0d2jaqKd0cN fYoaOQQ1dHVqGFl6EdDKXVcaQI7oW48Jpy02ON76DhmTdwAjtRzDxk9aoH/mwdwoUyOu9BCTk8Gd j0wRzLWFBU9HM1igjbDqCLNPlrZr6ROEWIDRbUokDga8UhvVidd6IXVrxNG7UDzC56Ruw6im02TJ XIma3A38o3Z8wqGChYaIShwuPfmGdCSajdU5y91DCNJO3VzEy6PXN+BUt3iJEchp4q5Veph7Dw7L Cfjn6fHtenm+PN7erq9Pj++LzrswH14OFA5MhM0vsBiVe4cqESQn56+/nqNUasWpGWkthplxHO94 apskVpcKo1em1LToR0DeE/cJFuVe/aSKi5J8XhqN1m3Lk+61OjdL+mSeQ4Ei2oNfppprR49MKkAw mNc+C2lD4aGGmmOqAHi+aWWh+4eOVMk9dKRGtkVSGU3Vl2QjItkG9ghMK7KJd3tfuJYzs/YEBt9y Z3UPvjscOORIL0rHIz3EeHlGn1uROHi6CjTFC58nTBlg8pVqnX/ebePZNdTAQ4dr5VUqQ1edgdVr q4mmPW42Idp4Vlg8a7akwBJFhnfiUDPvNiUeudq0a67I0jtZGD5nprHdH9hpunClNsQYFEFbRvUX er8JXniz27EhhdEERz5i7IlGd7uJY5Uf8XGNXdHG64xOBONo77t48M2+JJ2cJma8NeKXRiM7nSis ydYwuGfT0tZ4E4T7zdD3TJDslydgqedEIYksHcUQRsBMsZsEFmU/OCH6tlLAVL8eEdL2nROoLK4E oNtqUpC6WZQR34w4BtGKI0bORQqLTX++iree45GbTYVJ8hCfMHX9NyF5U0SOIdCUxOWzwKZM9ycm UM2+PKEJ2KBd51OApUJgUxXgCNns3CHRlCufYj/IEiZbz/B5N5/Mfw88fuDTCcw6K8psHhkRQuJR dlgq5pmw0HcjY/lCn9zdyDzSZkuBGKlXOOQxc7ZRQNtNq7X6S80SGYZdt30kLY9UJtGzTcD68xPl tT4JD0JT7gCGpKmzyFPZ0HOkZJeV59p0saow9CIT4pPqs6w+BZFBfmAba1I9iDFqvSWzeKReVvfH E4KxaVzPMIUM29bZXKvV/nNm0xNedQA96JshWklyKKKh+5Iif0p25RBDkqgHh/G5yQP90MjEWcdN tcQofBgRc3pb8hS3GJyUynrYVRPZ9rvrD4ZX3bohaQYtssjuuiJSHmhZaoo1Xl/SmLr0EyDYaFs+ uQwBKGSuQcNzMKAMbycetA22QYrpFIbN40dJ+MyhJarbIDKynfStpoqF5ADnmO2QaoHacWootfpW mVxzsTodYko++mApo28wJUzbMgqrZzU0qMah7pkkxKXljo/DIl7mS+lV4Np42pT0B1FTYkjZ7tp8 lUthLzIe6FQjnGAo46pp+7uwfckwCD4yENfgPMNN4JALZw6qa1UkygfoPOkskc/58L5wXzRZiDCp EZCljvNts4nT3b3KJhV+KjhFht1RoUTBHvBlWh/40xBNVmSJdOHbB0X88nQedm23P7+Lr3r27RaX +JQa0XQd3j3afWoPA4uxEvg+VwsbtIlVT62OMZIUkZJas7T+ML8hEKKp9Xg4FbEkYwA/rU2GDw95 mu1O0oMnfSvtuHN4IcpoelgOsszb+vD05XJ1i6fXHz8X1++4XRYau0v54BbC2J1o8tGQQMcezqCH xfOhDo7Tw3hvKgHdVrrMt3z2265FD2OeZpmVDH7kanJkdb/dpZnYVlSdBMESnvHQaqw2HLaXuVlB qXzaY4d1Ve0ME54v5/cLdj7vqW/nGxoFQtHOfzxfvuhFqC//++PyflvE3UFOdqyyOi+zLQilGIzV WHTOlD798+l2fl60B71K2ONlKe55kbLNWpmAL0nFaVzBmG1+s4XHZRHsI2V3HUStXTgTf1sGdA5a o8IWr0E3ZtlyDLj2RaYfrYzVJCoiqoTxzLurdf/+xten59vlDRr3/A6p4Qk2/n1b/G3FgcWL+PHf xBPzfkwm+cy45QK63K+YMgdMdGKAcDrI6070aJuQtOzEKFcHQpdeGRewQzZ92Gijh4+DtlpLI2NS NZ0xg1oQUKKr7JQkuTaIe+M/seck4JQ0OaupJZLO1h41HcADOuiJg/AY7JwQnQl+inUd1UNXVYOE zrQIpMFVr6GtDnmp67q8iwKjlJSTDROnyIEDjj/b5rtaXqyk0k1Az9GzNlZOLD45tuQxJAyr8+vj 0/Pz+e1PwmKlm07bNuZX750J9o8vT1eYih6vGCPwfxbf366Pl/f3K4zEM+T08vRTuZfqyt8e4n1K mtP0eBoHrqPNNECOQtm7cATsKCLjlfYMWey7tqf1G6czIsWyqRzXECWil+zGcSx6KzUweA4ZmWGC C4fFWpGKg8OsOE+Ys1SxPdTTcbV2gfVtIDpOTlQn0iS1YkFTVtpQbHbbh9OyXZ06bDKM/0s93MUR T5uRUV04NHHsD9F2h5jiIvu0ABGTUFoUlgxoFjvT5h0HfX40cbihWVIQ98UIfxIZxzIFhXqn9GTq i2Ub2pEuc0D2qDOtEfV9/aO7xrJJb8ZejovQh5L7gf4ldElAOyiJuCYo/OQzkK9tZWRW4bWHyrNd PVUki+eUIzmwZLf3HrhnoUVfVg0MUUS6qwow0ZxIt+ck7FAdYS9mbjVQ5RHjW3dBpHGknKWBRIyP wA60ZkmOzBs0nriiJQfO5XUmbWaSAPJxNmE0BVqndGRN3yDZEQ1yBHJEkj0xwpZE7keNNnYjJ4yo R6p6/C4MCYHdNCGziDYc20tow6cXUHD/urxcXm8LfK5Na8x9lfqu5dixXrwOUrWPlKWe/DSN/tqx PF6BBzQs3lYOJdD7zQ88tqHn9vnEOpuStF7cfrzCenjKYTD+UKBubfD0/niBZcHr5YoPIF6evwuf qo0dOJbW26XHgoiYZunIQ30tW9hjVHnaD/9h5WIuStdQ55fL2xlSe4U5Sng2WBaUqs23uAEvtGmw zOOqopBN7okvMvblL4/M1iYLTtVmXqSKh+ETNSBTiLSBB1SHmjiQ7tEXdR3D7sB8wxvHE4NHXWdN cEh0H6d/kHHgmpXl7uD5rlZNTtXUC6cSSmx38JUIndpnugrjVI9KzPMNwRIGhoCRMa1GWLlyHOn+ bDsEZCGDgGqdMNQFcXeIyJaMfH1S3R1sJ9Ql8dD4PtMksWyj0rI0Pc3J+godyUokrRGoLNLTfcRb y6I/bG0yWP2IHyx9HuFkh1g4IGCTpvS9Aqgtx6oSR2u17W63tewBUlP1yl1BP1zZMdRpnJQzy4b6 d8/dEtVvvDs/pi7XBVjTtkB1s2Str/G9O28ZrzQy13kqNWvD7E4TksZLAqd0RI1Ma1yujAugUR65 w3TuhTNNEt8Fjr7KSO+jQNe4SPW1wgI1tILTISnF8kqF4qVaPZ/fvxnnihTvYbU2RmszXxMSNHRw fTE3Oe3xoYC5OXTd2L4vTXraF8KOHbG4e5hUSCk5piwMre5tu/qgHx9LnynnzvstPybueuzH++36 8vSfC57D8YWBdiTA+fGV1Up03BEx3J+HTL7UVfCQGWKDaXyBwRxeyy8gHWZktigUwzhKYBZ7gW8b i8xhg/W4wFc2uUVepkpMLZM9ZhRMFDQNc4yYFJBLwWzHWLVPrW0Z9kAi2zFhFjOYx0tsnmWRxq4S k2tZRvEojwWk4VFHeTpbQNza9Hjiuk1IbgolthhWb743I6sgW+Q1qsi2SixpWtIwNoM5H2ROTYci W+ZK9+xy+rAINYlTGNaND5/qV1Fd7vs4UiZpWQMw2/t4RORtZDsfj+Ea5gbz3dnY445l1yu6uJ9K O7WhOV1DU3N8CdV1pemMUHiiJny/LNLDcrF6u77e4JPxBoLbmb7fYKt/fvuy+OX9fINtytPt8vfF V4G1LwYe0jbt0gojYZvQE33JdKUjHqzI+kkQbZ3Tt22C1bdFYeSXPDBa5IBPnBqGaePY8iCh6veI d1iL/17A/AEbzNvb0/lZrql8aVQf6aA2/LS619YJSyk3DV6DvB+SYlG3YeiKln8T0RlmLyD9ozF2 hlSK5Mhc+jhsREVLDp5Z69hK/p8L6D0xdthEVHva29guI3qayY+SDVJhGU6jx88iav8mCAUlUwoR 51crdDQiFD/0dVYpmC4SD1ljHyP1+37Up7LxzwR1La/nCukfVf5YHx3d5z5FDAiifNo/CBdp086z bGCWU3KEEaJVBZ8VjG1fTbtrPHklMkpmu/jlrw2fpoJlikk0OXjUasoCoqGAyLTqoyA61JTSj9xU TqaAbXhoUzLiKqXYHltfmdb7YePRj64Mg8Xx6CN8XqB8ia1fLj/koI6WejxAXC1XT6dDEvUMEb2W EdoglNsgXkWWKttZQqp4x9fkFRbxzFJNNpDq2qolR90WLHQsiqh3OapTeunGuyC1YVrFS/ydSSH3 +wtRzyb9pGCc8FA7hOpY6lqNkfKk6ttOzQVDpnHbQJ7b69vt2yKGPejT4/n117vr2+X8umincfVr wqeqtD0YSwaCyixLkd5d7dlMnTWRKFnfIXGZwGbQ1uS8WKet41j0UkdgoM+bBAafOgDocOhHVZJw OFvKZBPvQ49pYtBRT9AyhvR7hoNbkErD1tVa3qT/H70WkbEq+7EW0kqWWc0gATw3eX7/r4+LIMpZ gt4cWsPwVYQrL1Il4xoh7cX19fnPfqH4a1UUcgbSQfI05UHtYFYgZ0MORePIarJkMPUZThEWX69v 3cpGzgtUtRMdH35X1PV2uWEeQYs0WqUOQ05ThB0dPlzZOXwkG3uzQ5XhjHt+hVSsm3BdaIlzsnGK jtslLFtV1QcqxPe9n1o5j8yzPJPA8x0Q0+QOlbijFHWzq/eNE2tjqkl2LaP9G/lnWZFt9Te4k+vL y/VV8LD9Jdt6FmP230VDL+IobVDGVkQHauhWCMp0K291tB0NT7+9Xp/fFze8avzX5fn6ffF6+bdp GKX7snw4rSTLO5M9CU98/Xb+/g0di99/fP8OClysUbymnOEP6/gU16JFREfgtjPrai8bqiHY3Oct PmC/o724U/lNxm5GAdp0DDjdqAnk7sDw7fxyWfzx4+tX6JRUPTdcQY+UKT7sMZUWaNxI+EEkCX/n dXkf19kJtqep9FUqOk3D/zy4H8ykhM0t5gs/q7wo6izRgWRXPUAesQbkZbzOlkUuf9I8NHRaCJBp ISCmNbY1lmpXZ/l6e8q2sAGnrPKHHCUzOWyAbJXVdZaeRItmZIY+lt6Lx8aJk7siX2/k8sIqJsNx V0nGXAC0ecGL2ubbMXqP1LXfYKv77/MbEb4HWy6v672cYFUypdpAgUZc7UCto3f8VrFxFlJ7WGa1 rHlEqiYHcZ0oWcVNXkDT0lbJvJeb1ghCY9qU7QlAe5Q2JS8kmZLauuT1CiCbtZoOhqBEU0r66gR7 2U65nxWd4PaQgzQpaXZEo6vzxGHy6p04aHmq80OsEWQL6IGoGDgPZDrdXLrtA0KRhZYnPtyBEhHX MCZ3aBktR8BBQeeP5dI1quM0E6Mz/B9j19Lstq2k9/MrXHczuYtUiaRISVOVBURSEiy+TJA6kjcs j+M4p+Jru+KTqsm/n26ADzwaPNkcW/01nmwAjUd3zyS34oqs11EvZIRXOo91j8A0AJ+JS67epKaU d48htWuAxDOGHePpUKSZ7ytLNk9vIEZ/BBFZpYkIx55XPtmNjt6EGDdnB/g9ROZ2eKIG9B4ARxr3 D7S8hsmWU9tcQK+P1pwwo+x0t8pG0sDSNKcsaybccjiAdarrrK49g/zW7ZPQ7sSu5Vnun5pYe6Uz a0o7J5D/kle+Hh+9uWhj6liCEHTb2JpYp5CUBnG00DcXjxzGVFWX5lqOG5FQv7FZaPIJ+dmarSfM Hmv2pRmSBO6+d7aUlLuAVuJIXUQuZccPH//48vz59xfYFOE4GS1GCJUL0CEtmMCQdjeeUr07jxaD can5gl+7LIyNz7ZgDRmWe8HdCLgTQjhxWkAZYHA1Y2no9VTkGZW3YBfWMgqxbcq0Imf/ehS03yd+ aEdCbszdBZP28xuyhhI6kEizj03PNws2WQqu9pntGkDL+gZN3xX0SdnCdsySYLNeBqgx97SqyPqP lgGjnL8izdq2AB3ka5J5ycrZIif99vXHty+gzz3/+P7lw7Qp0YaEtn+A/4paH5xql7NOhn+LvqzE L/sNjbf1k/gljLXB3bIS1tIT+tgdmejN2nrVtcFcn2syB2fTNdVQ1H2lB4PAnwPa7DieQA0E/XrD ZMCpIS2MDKtM+hlvTVKTliYhK1lenWF2d6HLU5Y3Jknk75xZCOkteypBezOJMPyhtlDx+nQqamZV 7i0InUsZeNX0nWlmJlT70dO+SSz5HT5gLYTTRi9xaIoeWkuAU2ctHY9d0EoyOeZk73kNswy2ySYT FsCBkU6JZC3aOh1Owq7DLW+PtcglfPKXsbDxqqMv/mSNPTqkzKKEcWxLjDJ5gsHiSEKPVkYtISA4 +Dzc7ofBFCg7Q34DbYXGfCkciUAINAo3Tdn0200w9Ky1iqibIhqMPa1OxQxN5HZ3uVl62A3SOsjq OtuYScmaaOxPLHvM81FYUdfWKFxaaORSdg27+WUQdHdWDH2QxJ7g6ks/+aqC7ZRhJFAHz4lOWMAp XMgS+UQ13qk1y4I96dVFNV5Y2vtI3dJ3Qgrl8daIoYZEwS+NJROs4/zeUDR5fFE6xfb7PXlZPYG6 ajLRIpv2FFqE910U6Y6UkHjs1PWiUb4kDvUNo3jUqX+Ip2wTbKiDBQmWXH0EXdrvD9jbjXJtZKUQ X1ZiG+6tfgZacndqrqiweXoaMkFG+EWm7n6yKpaxtmCh8/3PMqCWJ5uCPcY0TkZbkyiz2dqZq/Se yKY4QurKE4JKrkhkPGVA8vRSGzGlKvSflvFzTdFMJXChZ2+9RU8Jqd23noHzcWAWDTZX35gf0btZ y7wSQbTbUERLIHIRHKK9S0tImlr+7RqeSto3ilyhMzmdqpuib1//+wVvaj5/esFT9A+//gqbtOcv Lz8/f33z2/Of/8FzRXWVg8lGdU6LeTLm54x80HeCHfkCbEZt4ZK+8fb3DU21NK1r3Z6DMAgdWawL nzwV92SbbHNrcQFlTsDeOaKpdO+CFsU8fhUQrsrQtJAz0Ca9X8gYmqgU8qbjma0plnkUOqRDQpBi i0/UFU9v/Gg3ejzosNdItreD6y1kNcH71CA8kqiFNTBv9zB0PtCjPFkBDKQgXrKfpUWQ4R1WChdT IkDuFeZU/2UlAS1aWqQPgr/Pfwk3273RLfa6pkIS2LVvYMnInY/fZNIqOCXjuck+T+2PkKql3gxJ OyLTEeHKrgLZpp0BlXXjaAiSXqKG4Vs6NA4jUKcGtTd0oJTsQxlew8OTVzV39gAmKpN7h4Py0E8H R5BLeFrKwDs8FMPThYuucNTtXPBzJe+lgMlRFBcUOtaRO/EtHY2HcY47/fnp04+PH2D/mjb9/GZy vPVcWEdHD0SS/zGnRiG3JwXoUi0hFIgIZqvqI1C+c5oy59ZnMAOtfFiZsfBkLJqM2zuTEcpVbchC Yc924tQBrJEB3VBe3mWle8Nme7XrjSUAPv2FJ2GwGT+wk/2ZJMqEvKJaNKFWsDKCq2EtzCQgonVv b7VGDtmhg+5FyUW9iRuQaBgevJazXFth1EBGdaHy9i+6oYOdFmz87G0c+nTp6hI66sTD2W+E03aa bfDElFlJ4Zt2xopeQSW80u8LbE46gp/JxZp/wnU9/hOuc+HfCCxcafVP8kpP/4irLAb/DGjyFasz Ngb1HH0IY5Qgn5yME7anGBnr8dTyvMqKB2hM1XmoWJmTsU/HhGV3hc1UehOZW6SoT7pQOoUibskX yWNHnyCZ6pVlVzLI0xo8+XGUnolDdYJW4xUH9lH4BpcmZRWvX0msOqEnU9lVGYPekTPaiElFA98k wMd2Tpk0vmlKd3rs3p2aM1760odg7+9Dl/l0OikvIcjcrDCNuhm6dHFeGhiKDnGwIzHQnIa+4wWl xQAW7DaBD7l7kWQFMW+yHNTRAyd09OZAIUGw9yPD5YnUhSaYNiSf2a7bYLMlcgc6Wep1u41pehzT +SRBRNO3jqKukDja+7cyI0sc0490Z5YijZOQfis98RyzcP8qTzeIlHLHMyvJpqfsmTyGZPKIZSqi uLB3WAtAdJgCiB5WQEx1pYJ8Z0yKYxsWW7IeANjHcxpAS7kCvdkldCUB2lGmZzoH3fJtqJu+6HT7 1GOme5q0W2nRzjNqEbvficEwAt4coyByTssmaOs7QpkZDnRS9JnkPzGWPPdwswvXlPiM7ULTxG5G 6FBWE5yLXUB9IqCHW6LLc7GPgoSm26esC91+cGGhvigP87a3K5ONJ+r8rKxU9dBeo83qqJkdsw+C +MDo52a/2ROtkEgU7xjVCAnGHs89BlNCXRwbHIdw5yt9R37eCXtltZjZRPbkK+BAiraquO80WHKI cn8IEoxhMXomJUrQeEafpC4TbLmDxD7xnoDd/uAF6PEqwcPdC6ymoicOBC1vwRb0yneYuHy5R4Zd tAV4KyxBb5bQp8yP+DOVqC/XOAiJk6AR8A33CX5tvMM4jsiQKjNDAcs/ISgtmnmTKyog0WaP4r9e chcn5KNRnYEuGQ+/fHS6k0eMHJJtZ9i6GWRvioCsGJDHFERzd0Fsd4q9Czp3aINOVEbwc8nU/YAH ods9o21+LikdTD0hGxj8nXxQu/s73p7GPY/jONJm9e14hChDy1aJ4Ego9X4E6PExgXTrRbmNE2Ka Fx2LQmK6QnpMzs2i44NgK+8igKdjIozJoG4GR0K0EYFd4tzgzRBpvqlx2AHGdGgXrKkzksO+ZBwB 2H3QVUIHm4HvpltynNhhvyOWEc0/5SpIf1CdQdDnXDNLRFvlunzhnW6kzvDKWmPykoK6sJBr2ghn 6T3wuNqaOUXEwnBHPVhcWJR2TRaEWLxdSS3dhFKKqoycFRGbiSWkllPcU7mPPd5AdBYyEojBQNUH 6HtytKLz0mBdi0WW1YVPOkAlZnlJJ+YUpFNqPNLpOUUirzR8t/Mm3a0fACDLfm0yAob9hhR9hbwi 8yMTKewYDG5DDHBJ9xV5WFV9JQMxcyJ9581y98oXht0EkaVgoydIJ8/3RYQBYFYyfS+PBw+JYfmo a/i7mJgWZagbQnjsEDgaPaHU1wptbrekyFSrj35mDqraCiBGYNewBJQ9ZribMk8ijSRK2UhZm83n jWY9Fwbv4yRUQ84tay6Szc7hTsZ10q551a02z9xXuxfTBzf8HI7yfPcBq3+bV+fuQmQNbC0zNL4e c6dGJuY4Xiu7953fP31Ec2BM6xziYkK27XL9YkHS0ra/E6ThdLKojbITMKrCeryMp5s0HPPiql+d IQ3NIduHnU164fDr4W1xWvd0eLaLdF2esqJ4mOU0bZ3xa/4QVvHS+45T/EPev3vyh29zrquWC6P1 CxV6ypMyL4XqRqM0DDNiBrU34fdQbU+G57w88tYRsfOppU76JVTULa97qxtu/MYK/VEoEqFYGd7J oj5yk/DEik5/gqnyy5/kexSTfH60DMMv2PXl6JPfU2HeWeW9ZcfW+WLdE68uphGngV/zSnAYbTX1 Wg8ZilQ+zrTzLXJq0lBIVd9qs2pFfebuiJqo+EN3ajjTTZFActuXxyJvWBbSwoQ858N2QyR9uuR5 IaxkRpukhVYJMuDr8hK+aFtbA7Vkj1PBhNW2Nldyb/dbyfEgvj7RD6ckR4134F7JLvui45P4GQkr Mu49InXb5Vdr2LOqgxkGhF67zNSIzqzW5B0rHpU1AzYwHRVpRhINq2mdTljz6TCIlrDb1hQMo7fA wKF3hWom47Dke7pAMO70gWCl6KuzXZYMdFHwir4glxxdzvzzEqAgaLDwkJfJkqOvmsKeatrSmmbO GDyOCXMWnolrgixK1nZv6wcW4mXq+I26RpJQ3Qgr2IckX2Cm8M2f3aXtRTdbAswJdbp/AehxXR8a EVlTKOdlbc9zd16V1vzyPm9rs0cniiPH7x8ZLNvuwBQwEdbtcOkpn+VyBS8aoWtelBKhPJ2AJk/q PHiRPOk9YyY2r8rg68unL2+4uFjZzPVVl/fAMDjaz5QvncX8ZFAvctKkxHGoLykf0Moe9EJl/b90 HuJErC0kw4jF15RnUtaQoS8aPhw9wogM8N9KGrERnY84a3GZYGK4pJlVuieFeq0uew2ZsKl2ICKk N7///eP5I3zG4sPftNeOqm5khvc057SZBKJYdydC5DII2OVW25Wdv8ZKPaxCWHbO6ZWjezRroeHQ nE052SB5StIBVwlqWceludXCOdJcg6DRz+1/vv35t3h5/vgH1Zdz6r4SGMYIlMm+pB9IlQI00+Ho tVgAjdEBnSpcvv14QWu8ySlL5gbKGSvU8VMJeS7iPiNv5ZJdDdH+TqBtfND2cGipMC5fk+YBv5QZ rqGPzNRB6g6UJrOwyCUf1sa6tfI9triKVmgrd3mCvQFGYMsmqUcNzdncyGSsijZhfGBWbqzpbcpT aDhEU4XiW1TTZ8BCj6kjANUU81mCorWbDbqm2jqZ5UUQh5uIttaRHOjUWTeSWYihk5t09Uydzszo QT+gllQVMtciYsBbqoCR7pvBJI9toqvKbqLDljofnFH98cJIjA0HxBMxlhGOy1LXT2dM9xa1ECOi PnGc+Huq2cemT9mJbN2k2oKe3zDaCqefCS49GNP+12aGhAwDLmFl/Y13Cl1vDz/bUn0kpkG4FRv9 TEoVpEcJlpQ5Bqkr81lIB6aW6PRcdRtuHEHtovjgdv9oqe7LcAlUrVO7lGF4WptapPEhcATFjTI+ D5z4/2zevDqFwVEPoabaJaLgVETB4e40YITCu+uPbZmP5FPn//3y/PWPn4J/y9WvPR/fjDvKv77+ ChyEcvXmp0UH/bc1ox1RXS+d2ogHOvLx9mZxT5sisxtd3OF7W0R8LOrkDpuR3f7olUh053586Mqr +i6gYJW9Z6TiTGR/SCQaYUdUNmPAY3227/58/vzZne5RMzsre1KzASMw+G2VDbYaFppLTasfBmPG BeUjxOC55LBFOeass9s14qRLG4MjbfrXCmEpbHJ49/DmsTZfz61RBqmD/Fqyr5+/v6Cbyh9vXlSH L2JbfXpRUS3RE9xvz5/f/ITf5eUDWpbZMjv3fssqwZUhkqelMmzu6/0O23dO64AGW5V3WU551bMy w9NYW0LnnsWT4QVDvzRC8CMvuO4ViAXBA5QUmPilt4XJGcN0Bvvhj7++Y0dJXwk/vn/69PF37S1t k7Nrr1+iKwIM6qq7QIlVJ5gXbeqiqL1onzVd60OPhpW/AWV52hXXFTS/dz60WEmJ50FerLnWlvGd gXf3hox/atVttK3Xd69U989bVfhb8SPTXUMsNPV4vmQroJKIlcR5SYLSXVWJ/2vYWfl6c5lYlo3j 5hV4UOCJ5iu7S8r8yOwRTNt3zxzvOO3UWGNJ7+cjpdrBCrMlOxiA+LWer9M2K+lK35RbwuY2clB1 Olb3biCjpWtMlxM3lDz8PZoUCHTrULdZThpvIqj8SRjTgJY1Vu1mSDNShvZOVUlCgj+ROfGm1v0p 2MiQ0vKlwLUvq3GAkthRhrQat2gbshygd3QFhG7DYAF0krZraQFGALRre/GwOSDjm2eB1yWrgY9n LSAjVw7KsrR/4ukg0rbX+l1CjnvLtktNdxdIAO11m+yDve0wADG50SVrCDKgPMcIR6ME6Nif3NDZ MOWl6A7T9IfzJOn0EcmYk9tyBQxlfcsXp6B63RAVeXHCML5k/GLFAupOI4ikko56apdbB8pTZG2z jfPK2t9By2oKpt/mZdvtznyigcZ1TKSce53vXboguUbUuwjQJtAaSx4qwHQtBDtruqxCpYfTCfvX v5ZsIVkrj/oL9OJDlqyzUDq6hlv3KyOiHU3qukiPL+fMd3FIarL2hhfCvH1HnRgCR4aRqBWHmRvT DSaQAAMqrfWzalkA+pJTF84mAPrW3WJte31tRFJ5MgK6QR1g89DI0x9WQe8a2w+0NF+JmY2w3iPq N27nejsXVW9vHkNjrNMj8YhW5eYJ+ohIRwHk157qUHLaxe8ta2gN93apMbok1N096UOrsx/ffnt5 c/n7+6c/f769+fzXpx8v1In55dHAJEiOsNdyMe5eHtYJ7zS5dJayAtu7XL82Vr9tH6MzVe0w5FzC 3+fD9WhY6xNssI3XOTfasFLMJRfpioiMXFww19vQiDVpsTPDA2pASCk2Op54EkbU4caC7/UgLTo5 ocl7glxGO/Ml5Yjgs1voE16Hmw223F8RxdmkYZQgo1PGjCfRiNtlgbDvybNLHXebCospSRVBUgYU fbMnKyhTENUC+mq1MN1eP6xa6MmWqlkX7jdExYAceMhbmhzT5B3VCABC+qRw4ijLKGTUrmhkOBUx IWgM53peB+HgihVinLf1QEgiR6nj4eaaOlCa3NEspHaAskmNCX8qJnsXhEei0RVg3cDCgIyfajK5 pUmgJKoxAUGS0YUW7Nik9mhxBzYoaa8wZIx0hLMwUNUDck91Hl6IvIuIGos4pJ6kzdlx73S3D+N4 MFxczZ8E/jyhoXlWn6lpBXGGWQebiI6V43LGa6NQ5yPETYcTcqJbGBLyWbbDF1rxV12G8J9VOApC d/bQ4JiYLTT4bj6jnhkK/DJJuKFNbE223d0Tsc5kgyVlZQ0bmQ4BuQIuKHXdNTPdkCnYBVSPjJjp pMxBaVNgh4020bPZPFc0Jhuuj6ts+iJKq47EIkqOK20RXcN5SM2TMxi5vZviC6p0ag29DMLCuVr7 rIuscFgT8MBo5NCfm7WhdQbt69IQGiDo+Xe3OTxt1KRGrLzvjjVrMzPcwAi+baeus2t5xfPWHh+S rX3MVD6TkIu7vykzE1HMiGUrupRiKVV6GspcBabM7SCjM4BdstYoWLSSOKRjW+os99VZAlmSzcoX RoadHofKXjMpma7kGpTRCzH2BYG0XRYTk6pIQndpKI1HoUvWsPWCFZhaXlPu3wHA95GK5JBS314N onRld1FJ8R3Qsi91cx9RnEq2Hlx1JFl6hY2tV4t/1zP5ihRKaagCYMV3RyKqAbRuQOr5V/Vvwaln SO5ESKvw7nQgmHHIa/WI5wtT5Lbux4gp2nFbQVe37UB72hgPO25dksSUHaFyc29Z2qhNsIrb6mzW 2ddf//z2/OtySsfExbwE0K9D4cd4KiaPyH7Rbi6mjNyC5URJVHYKIGDfWp3FgJ5h8BDLOC2qOBQt GvIdPQZIONlRLoAysHMZhMn2Opw8ARqQ6ZglSbTVL3NH4HLfR9vNsSIyltCOapfGEEcZmWe8y4gs QV4PQUId+mkMkT7pGPSYpm89/NuApG/3PnpCVLlJs31MvpQZGVq23+9iIqVIsk3IaPu0hSUIyIBo E0PewNggc78EtNPcCRdZEOom/ho92rg9qegJTY/cHpP0mKB3u10UtyR9f7g5dJglHsaZ6kQvxD40 rchGpE+DxBc9aMR3G7difZNBut3GHQNP8sa57ozR1fCteTqtYpJ9+PHHpxct/pc1E5yZuOad8tf/ VLf6xevIwZr8Pi58+uRiZbzU486Lgd25kBGiqEbzvMiOvTBd0F9KfG2Hh4bCdHyJsRRGRKqrbV0U /1/ZkzS3jfT6V1xz+l5VZiZWbMc+5MBNEiNubpKSnAtLsTWOKrbkkuVvkvfrH9AL2QuayTvMxALA ZrMXNIDGYgVZwKMVK6dpkVCGjAWcJ5aEJEEd5vsnV7si8KUpUHhfOSaFh7OJxN9mM/rFK49j/sqs clNXedrN0zr9cEWGYOfTGFMgXkzOOalxqCkXLUmwvPKUYF5fXw3p+4iLJbXscnHhpR0W6hCp0kqX seYMDtu+SVNU4biyhlO7akq6AkdPU9WNb956miYk/XRlaifj1TLbEx1VqrCsymvdHC3BVrC3AmfV WFuwVpvSeWwR8niO0VpSfWaqORzf+u7pX4wPhgFzMcswcoHcyK5f+fffxV385/r1ZY+6q80KChzR 1mHFw5Rm5H23RmMXDMyTLAuKck3moBQuZt28bLCqBO3dLEhI76Q5psmPdG8S+AEDBx0tDY8ZRYiJ gEGaMTWDHCQss5EeNpTS0cVdhRQehGTkp0kFJ/mlpw22uH7vMZ0okjq9NCQHC3XpRZ3bJjENRwoQ JsnH92TDURwlH99feXE3k0saVwueXJHYPm8TiTU8UTX4MqLfFcYfz68dC5rCTtM1bETvBRzvzizv ollL4ucrYAsF6XEfPR3uv5/Vh7fjPVF+kXsXdqUWhiMgPDulsYaTJUiA16IgldID8CcOk7nawyy2 KQFas6gzzcjcdT+apxVw7ebqItSPerLX/YNBmoWlpt33Z0Y+Ny5Rq4g+K4MMZJmgy8OSNjPIF3To N0B7ZsDMtcqzwhlytn0+nLYvx8M9FWbBEoyawsIv5I0n8bBo9OX59dGdQHVKDM0jgLNrSovkSF7D a4ZeucMQ2hgE2Nj+6nrorNGpXozD6karlA3uhIe3/cNqd9xqNV4HwUJRu1nUHQrsX98oDOB/6p+v p+3zWbk/i77tXv4HPeXud//s7rVgEqHgPj8dHgGMGZ31OVFqK4EWz6Hr3YP3MRcrCsYdD5uH+8Oz 7zkSzwmKdfX3kGf69nBMb32N/IpUeMP+la99DTg4jrx92zxB17x9J/HDTEVd04d2rXdPu/0Pq6FB ZMe8sMuo1dcT9UTvFPlb8z3IiChAThkv9SMcksTPs9kBCPcHvTMSBWLkUiVeKAvh6TjsAZ2oShjP eVvoNbMMAgzLNuvp6Gj0sqyrwPt0UNfpMrF7HrvMZPhMUWqJ5FbJuolIL54cWJGZxiD1HEBFQ3tU LkG8pr0ujPMRfrhSHAKdQDUDKzLvz0H1jTwVD5FqkLA1IOZ6nzZWF3hAzwe7D1mFJcQ86Z8HAnnG eKl4DMw1ZY/jX9/kVT+h6OZ0D+uXiEJlt3gi6l0M4ENS+qxw2umbqbDsmqHUcvtb1/C7cD1diqgg lVZlZKRHZEkNOjqt/QpcyKK8bkL8FZHJMwSZzGi+spvGLGI8AkQNSjW/O6vfvr7yHT6MiKo+AWhN 3xuAIEZUaRcL9GAmxMBXEJiwUWrCwijvFmURIOHES4XNY5IH2OYdKIDM2mAEld0PHVenCfNEChhk QbakNyFS4bpO8/V1fusJrxVDssYU69rAaMhqHXST6yLv5rXuDGegcFTsz8iDqpqXRdLlcX51Rd44 I1kZJVmJRjlQF2uzebEUuBxbguxlv2BAJ1bIa7/gzTXSt43M1ghgFE2xoMo6WXrRQRhcL85Q+vhM FxXPI00nzaPQvDxCQMbN/mIVb4//HI7Pmz3Irc+H/e50OFJZ2cfItI0WUJwVJkezz+EvpVV3Kybu mPR9cNEt2iJtHGHWY/gvYlam2rEnAV2YwonIgFEYpgwTO6W6azUgzTqf/vi6w6icd9/+lX/8d/8g /vrD1zy+vPfnJddHf/0gn8/SsFjGaW5o+GGGAdJL7j5J9Bcd8TMjrDpsqGWBNQOMOxLxps5M1xMH a53CegCdWp1zUYLR3lbHgVsQZr46Ox0397v9o3t+1I1ZUKPJhe2nC4M6JXOY9RTQj66xH/YWMQQc iOUs0kOHXBwRSCZrG8xdiH1b3sO9ZRd6CjohVY+umznZcF5TUWpDf/Qr/x46hCeofA3ufGj2+GpG 3b9P9do38EOU0YNFWZSxsYERJ/Nz2PFwFA2dIUMjCHgCFfPddaTbUjkkTNCUbnekjKgl1CS9YAN/ UjqDDu75JnpUgKS95rKFcBl+ezrtXp62P+hcD3m77oJ49vFmQh+iEl+fX5DmK0TbYd4Ic40uyveY 6I6mXpSVIaaJi0nQkeuSefyQU91mgb9QQlN9UuAszc0qXAAQennUsMxexgz+LuhjS7qYGHMIO/O2 DeLYk41isMg0EVaIr5rWY/XOSw8HFgr+oI7h/E13GMPGz2xd6YqCaJ50K8xn1AekDYpFkKVx0CSw 7rDAUU3aeAGXlkYyX1B1Jla5XQnq1kHTUI0A/oP7yAf+4rJOYU1FlHSraOokapkRUQWYi043cUvA 0JyL8rTihEJx6HCeU8vscxhr3rP4y/Zsh/flIR99XSjHECfAmCPRg4HYk+ujJ+GljtNiSjMp7QXu VPRUnzkB8VVrp2sIUTWYl7STHZLctiUZJramJwTBZg4dhJRFhnXveHiV902rgNGp3BDpV3RBbpvQ 34yloe3VrGBdOYkoVt/jMdkC8aQInYPDYJGVdH90OrJbYeOuEwUb3TI9EV9MnH/NmBUB3tOwtgBV CBb6nbvSLWr/2Ap8UGP03liHWDLF2EjjlqhIs3741caZOB/OQTjWnaeMt3zGy344XgyI+yoeUiIU E8MDRzUayZqLVnZChc6+eASGHk/6bEjsl7ox/VMwLwd1U+xjbbg1bcYqYCI7EByh1PrC4EB+q2AE 7aAxDu+Q72y83j9QoNldhWPlEZT4LDeURDutiRBCASJlRI5RuSdUG4F91ci5j/UTY864iZ0f4FNh BRw0YSz1LgmRo8BHEu8XeIuvC2DDEo2v305zYI/nNmBiPRU1hmgRtE05rS98a1qgvSu+xWyiNA4L XWfBnYUWUt7m/pvuLjKtrSNKAlzOphBYe7OcsYDS6hSNcxQKcBniHgN9sdZUFY7C1VZTMCdebMD0 HTGutMT3iW+N/2Rl/ne8jLlw5MhGIETeXF29NzjC5zJLzVqvX4CM5NBtPFVsSr2cfqEwL5f139Og +TtZ4/+Lhu7SlLM4Q3iu4Un6iFj21NrTKkQOsyJXGJN68eEjhU9LvL2q4Vv/2L0erq8vb/4812wC OmnbTClRn3+JJYJ53vB2+uf6j57lN4q/6wBrnjmMrfTRHR1BYRZ63b49HM7+oUaWy02WaRxBC9tX SEcuc9OwpQGliQV198oiQItrk1lAnAtMbJo2eg4zjgJdIItZUthPYMZFTPpnZ3RaJKzQx0/ZNpSm mFfmd3IALTNYNH6RUeBTVJxJT/l5OwN+G+r9kCD+5doJk6APU8SSQPfT7pMbztJZUDRpZD0l/hnk AmXgcydc17NqEQMvvGhpVgmnBHrH+egUlV6qEH6oNW7sHQ2tNl93oWfuNzAip//QDwP38ZLurE50 TYbBWSQT7zuuSadmi8TfRbpulEVyPvI4FQlnkXwYeZxagxbJpWfkr6+uvJgbD+bmw5W3MzeXtJ+d 1cAvP/jmwvf2a91dGjFwJOGq6669nTqf/E6vgIpyX0UanjOBfus5DZ7QYGcWFcI3hQp/Sbd3RYOd paoQN95h6L+HjjEzSH7V2XOrt4syve4YAWvtfuZB1IHUEFBXxwofJZj+0mxNwEG4bVlJtRmxMmjS 8WbvWJplaUQ9PguSjLRl9wQgAS+oJ+FUzECNGHk0Ldq0cb+Gj4KRcFdhmpYtUj3/BSJQLDH0iIy+ Nm6LFBc8pV+U3epWP08MG5rwf9nevx13p59uihXzBgJ/gYJ724IW3SmRepA0ElaDtAqzhYSge8w8 SXIxUXTC0+tTx5BUvCSB8fIunoOil4gc+sbpj0iuMKWRQFJGU2kYwwQgNb87blgamfcUkoTst0J6 9BHOa5ogxPu/uswCW3VUAgM6a3IP2CIRObKisrrrMNVGFBhik0M0ggJRNsvQ+VaTk0E9Rr1S3J8Y XwmiFggf+GwOa2aeZBVpE1Uy7jBwerH2rM4//YG+dQ+Hf/fvfm6eN++eDpuHl93+3evmny20s3t4 t9ufto+4tN59ffnnD7HaFtvjfvt09m1zfNju8apjWHVaYt+z3X532m2edv+7Qaym0KDFEuvIL2DG C+NCNsXsfWIozXR+mqFb0ExhX2sktNGe7odC+z+jdzOyt1VvGSyZMFsYzsuw6Et1fxEdf76cDmf3 h+P27HA8+7Z9etkehzEQxPCls0CvFGSAJy480TO5aUCXtF5EaTVPmBfhPjI3c/cMQJeUGSlUehhJ 2EuhTse9PQl8nV9UlUu90EtSqBbQGuaSDil6SLj7gGnTMakxfSbnFtwm6VDNpueT67zNHETRZjTQ fX3F/3XA/B9iJbTNHJivvl0kxr4kt5ZEmruNzbIW72yRs2AshoNPilla9Jd91dvXp939n9+3P8/u +cp/PG5evv10FjwzcqAIWOyuuiSKCBhJyGKiyTp3xxJY4DKZXF6e34yg5KcKf4i307ft/rS735y2 D2fJnn8YsIGzf3enb2fB6+vhfsdR8ea0cb400vPaqTElYNEcjuFg8r4qszsz0Kzf37O0PtdLG1sI +KMu0q6uE4INJLfpkhi1eQCMdKm+NOQe1s+HB93mpvoXulMRTUMX1rgbJSK2RRK5z2ZsRSzackrf r/R7I6TDXDh2TbwaZIwVC1xmUcy1wbdfMyD5CPvfqBEGyzXB1LBKQ9O6KwBt9v1UzDev33wzkQfu VMwp4FpMmv0pS6B1TK3x7nH7enJfxqIPE2LmOVg4QNBIGopJoCheuF6Tp06YBYvESq+jY2gBziTx FD0betWcv7fKsto42Wt/KzOy996t3C8QDG67unDweUzB3HbyFDYw9+qjppnlGMnq7zTi9Sp5A3hy 6fJ5ABsBxoqxzINz4t0Ihn1SJ1TM8kADLxJUdBOX55Pfa4TqlkgYRbQ61lr+wW0KL09CK5OQPE5n 7PxmhBWsKroTfLl0fE1hzL8T4yAkx93LN8M9vmf3NdEkQDuynJSGV68it1O5wmBJfwOKQkYoEVtV 4j1rGnNig/buntEK8asH5fEGPPX3KSd+UlR81Zc4Gx+wtE1TJ9C6MsJfgPLK84qr32rBcJkdYB+6 JE6Gz7Pbn/J/R1Z6kNUBsZ+VGEJ1WaJ+2WOQlSuR4ZaE8/PTNzGKZmSaNZKJfwDqfKSHzaqcpgTH lnDfGldoT8dMdPdhFdxRTENS0XMvtv7h+eW4fX011OV+6qeZcRmhZKcvJfGy6wtPgjP1kCcTVY+e j8hW0hlAhKJt9g+H57Pi7fnr9ng22+63R0vdV4yoqNMuqijNMWbhTCU9JTCkiCMw1OnLMZQ0iggH +DnFXAYJhjbo9hlN/esCO8raQPFOjA1mT6g0b//A9qSsoI4dHQ2MZFn9RkvSZOBtKim4CluG6Lfb eMLa1YEYkE5mShLFsw1dviwTyNPu63Fz/Hl2PLyddntCrs3SUB5uBJxF7n5DhBLynES+Lg2JE0xt 9HFB4srx4hJwmQgiv1ZposdfNd4KdRQgvJcnGeaY/XR+PtpVr1hqNDXWzRE1aRiwQZX1rxWk9khw c0oV5C76QWwHNbtEIkosnVBy8YBPSN9lhwx7+P4i8DQVRSP7Dwlug8bz6C36H8yvby5//KojSBnJ bIse7NXEj1QvWU79z2PrY3ho34OO5klWG+msBpwWH+wisaTcOkroO35jiEEE/8VM5VgyNupma0q8 tShc70BJHtR3eZ7gbQK/iMAafcNXaciqDTNJU7ehSba+fH/TRQmTdxiJdFUeCKpFVF+jT9cSsdgG RfFRpWn3YNGUhw/rX1unM7xLqBLhD8e9F+U9iitjbI8njJLdnLavvL7T6+5xvzm9Hbdn99+29993 +0c9QT/P7KVd+DDDEc/F15hd3sQm64YF+sg4zzsUPLv2p4v3N1c9ZQJ/xAG7+2VngOtjCpO6+Q0K fmZxRy+eE185SP3GEIlaTt6jjQVpfNVVt/osKVgXJkUEQg0jay+lRRIwoC1mpr6HUZy0/1+YgqaK eQG1gVVBkaDEFhHeLrEyt4zZOkmWFB5skTR9UXoLNU2LGP7HYBxD/aI0KllsGiaw4G/SFW0e0knO xX2gHnLaB3VGqe3Wr1AWmJ916G0Y5dU6ms+4VyhLphYFeu9MUQmUMSep/tF9G7DjQWAtyqa/qOz5 SgRcKW0MJScycv8CRW9Z0mBp03bmU1YmX24moyPaTBLgQEl458mwq5P4ZHxOErBV0NDMFfFiRvWH PJqfKZ9FelG0NHStiJFmx7aNf7Do4zLXRmFAfUGJAYRLUwX6IoQjCwoaUe8MbULjxIWjMkOQczBF v/6CYPu3eUUiYTwWtXJp00BXIiUwYDkFa+awaxwE5jx02w2jzw7MHMbhg7rZl7QiESEgJiQm+6Ln utQQ6y8e+pKES/3R2s/EBXpo+i9zH+llkFluzUFdl1EKOxXk3IAxo9JKwKOC9EBLAeKRIgb/QLiR y5MXUKp0j7oETp1aIIBhzvS4RY5DBLTJFSXbaxBxotwVKP4Gu+S1mLBOiPGyepWWTWZYwJEw8mR0 481XqVfAqWeZGGBtL/I4AxQdAgzt0hBV2zFjbOJbjTUXGbpfahuLtZ3lnR1lX9CRQps5dovKg9ZK XqVG3aE4zY3fGOnL8IKrYcZ8whyrBbOM69JdRrOkwbRF5TQOiCQB+AxPa9TpXH1aonXKro3Eodc/ dObOQejxDhwqifRScBh5XmbWpOOawrjgzrjkBwB+mW5n6qlbEf3WTbO2nluj2hNxfxG92Kfyv40W qyAzcyhGizipSr2nsPiMyUUnmmKm89xeEHLkG9P9QwmLHPpy3O1P38828OTD8/b10XVF4tEMCz76 lnCA4CjA1BJk7CKPKcbsbhmIOVnvT/DRS3Hbonf8xTDgQqB2WrgYesELJMmuxEkWUIEemFEcK2tZ TuAGWOUYGGTzuzwsUWlIGAM66sQVD8J/oiRbok+Bd1h7g+HuafvnafcsZdNXTnov4Ed3EsS7pJnG gcGWi9soMSxGGlZx8ISuIaFR1iBZ0UKMRhSvAjalhZRZHGKEXVp5gr2k2Spv0ZxvhyOqzYpJRXnc zKfr85uJ7j4FDcOxgfH2HodrlgQxfwNQkQRzIABhFj4ENllGXRHKOnwiXAvdvHMsTaHtOwvDe4rR hRrbEp9QlamM3tX3tQqLteK9ZLBeiSH3qyRYoFefXYJ10HR+d/2IZK5o3d3dKwYQb7++PT6i41S6 fz0d3563+5NesT1ArRtULr1KlwbsvbfEXH56/+OcohJJaegWZMKaGh0aMf3SoHqqkEViZGp+EK66 sVnDSI+0FnQ5xk6PtIM+bD43Qc6YF7CY9efxN2WD6M+AsA5kvCNWjgoyw7LBsePvi+qg0HnIb82b OQAYvKHf8MtQ0bTuk5tI57q+MY3PI68FlT4p7FhE0QriuSzi98IsVwV5FnAkbIe6LAzF3oTDlMhw UVOBNmi+JIwOiBSdZCWWlPQ5TvVzJYhXa3ukdEivyzZWFA7/7RwYEizTuIx0UcSp0RR11qrSmKQT K8er4Dl9BcnpBxklA+bhTp7CjPRLcKcWj1y6b8CwY0mVYPlVD/+2BnmZd9WMu+e6vVpSYX7EY56W Qfpug4xoViC8bYucadwnlVjmgu+iRkDZPLT9GtS6N7mFQK8dS3CPeN8F1jXXCyyGC4mtMDASUD8M VdZ6sd3gwLA4omwxUpVidQKf8rh4uzk+zZ/OTeDwSdY76OxEg+M5t31yyryM2ywhDzWHMzkLdG7V lhSOUEh/Vh5eXt+dZYf7728v4iycb/aPZp49rN6NPsglHbNs4PGUbuFwM5FcQ2mbT1o5QCwtjSar Frd+Axu7pBgg+o1LKqG/YUswxrmRf0SjotrShgOR3byFhdIENb2pV7d9US3/pIi3kdMxPq4ifAFE j4c3lDeI40SwC0vmFkBTjOWwISBY+XATbZu7GIdwkSSVcaLIPcySJOcOuMLei26Sw/H5n9eX3R5d J+HLnt9O2x9b+GN7uv/rr7/0GvIY3c6b4/nsBzVT04Cwaq2MYifHmLeBnzZ2YqFNs0nWydiZQaUG tkh+3chqJYjgFClXVdDQ19+yV6vaF9QoCPinOeKAQaIKGmcwSS6fleMmrthHCvzyF8FOQGOHMIs9 K9TwQboS3C+rqfEYbVStY/GCVZA2VBIKpVH/P1aQIe03zMoNwLUFGLeuLeokiWE3CPPpyFAvhMTg 4XzfhXT4sDltzlAsvMcLD4PxyfFOPWMgt8wv8DW9wgVSRABZlwSDjs6lGV7rG6Um1hLZHQym4/kk +60RaL1J0YAq4WYiYFFLMSVrHQ16Y9R2mALTXSoawdjDmH3klw2gWMHVzv4gmZwbL7AXCwKT27Hs KLzjPJyqm+HTKL6kZUwOrjkmDne4ldonI/RO0+LBdwxoCnhP69lX8KUy/b4wq6o0pNQGB3QR3TWl JmNzP5dhA7lGPi5tTdtC6OKciPmwMDDVnKZRNqCpGno/slulzRxtm47oTZDFKcMTGo1jNrkky3lu L2gPr90sEgzx56sEKbkVwWkEPZ9sA2skWxNND0jxwshM8o5Az7kmekhreXDkpTEoevMoPf9wc8EN 2ChHU7oK1uXSPWAEgCytLlGS0xlsXGDmqy5koL/w0aDVE9mEXT/GJpDJ1bPUl2pZ0olfHk1O0iyn WHIbvRXyGG9r6cAHSUxJY65iwxNHptJIYVr05D4XNA7H+3F9RXI8PvkgOE+zYFa7G8nCF5ix0qZJ ApbdKStrW+v3WtdXnbR+clOsXh1Df8rTVhzOPA/w7L/r2IyHkHJfFnIzu085w2SANtfom8AO45UW piIdvbTFevVoT+7er6+pZAQa3pylHtE69miXxjZC2ZyWW7cDFnhEsagKRs4G0QbnFGNnd56SI2EM GLecVZqjZ8U1PpTwehF/MHUVK5HrFY4TosUebVtJ+4PKXMr65UWzfT2hAIaKSIRJ4DePWy1oui30 GzqhlTrVagZl1VBkOTRZi73qXRaCjDNnb0YzJQ3h1UHJhtxfJLGVH2yMOSyiUo8JEwYDUKoBLLex fmktqYeeI5m0v+OFQMDQpEZJ3JwSDeSszbnjtn4BKJDsFrqVBMLf5/0PrCXaq8oMDh+8qcMBEuUK CyMtQbaIG1rcFSopOvjUVk0OkyRPC1610E/hfT4cRApY8/55ZvwOewTPL5XLrMTqL34mot98+8lA ZkOByWe05GrU1QWp5fCvnSdrtD2ODIe4KxRhoZ7kAJKujiqaWwgjDlA0noornIBz7ynxFRzb32Ga D7VtSt9MceyaOwf48ZiPbAqHpZ+Cob8KtyX6abzu4BybxvT9vVixi5HlDJ9smZtMvLSp+Qm4KIxX xyPvqKYjSPSam+M9KwgONAtChzDoJ+3gZrY2TVkOKixlThQryMpOBc3yyn09b9YuWJHSYzpUrIK7 A5L82nC48z0Pb6+dJ8Wo+g9nuRN4qgY7VYbFh5I8CmDNjzaDVg7PnapqxCNAiwFHzoF3IGbetiT3 JlAfPSqdJArCGeD/ADQSZUMXYgIA --===============7200007682923560176==--