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 Received: from mail.kernel.org (mail.kernel.org [198.145.29.99]) by smtp.lore.kernel.org (Postfix) with ESMTP id D9099C433EF for ; Fri, 5 Nov 2021 14:47:05 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id A5DAA60187 for ; Fri, 5 Nov 2021 14:47:05 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S233319AbhKEOto (ORCPT ); Fri, 5 Nov 2021 10:49:44 -0400 Received: from mga04.intel.com ([192.55.52.120]:19693 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S233274AbhKEOtm (ORCPT ); Fri, 5 Nov 2021 10:49:42 -0400 X-IronPort-AV: E=McAfee;i="6200,9189,10158"; a="230633920" X-IronPort-AV: E=Sophos;i="5.87,212,1631602800"; d="gz'50?scan'50,208,50";a="230633920" Received: from orsmga004.jf.intel.com ([10.7.209.38]) by fmsmga104.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 05 Nov 2021 07:47:00 -0700 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.87,212,1631602800"; d="gz'50?scan'50,208,50";a="600631922" Received: from lkp-server02.sh.intel.com (HELO c20d8bc80006) ([10.239.97.151]) by orsmga004.jf.intel.com with ESMTP; 05 Nov 2021 07:46:58 -0700 Received: from kbuild by c20d8bc80006 with local (Exim 4.92) (envelope-from ) id 1mj0Ub-0007oi-Lm; Fri, 05 Nov 2021 14:46:57 +0000 Date: Fri, 5 Nov 2021 22:46:42 +0800 From: kernel test robot To: Christian Brauner Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org Subject: [brauner:ioctl_ns_get_init_pid 1/2] fs/nsfs.c:229:21: sparse: sparse: incorrect type in initializer (different address spaces) Message-ID: <202111052233.eOvbbRrG-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="jRHKVT23PllUwdXP" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --jRHKVT23PllUwdXP Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/brauner/linux.git ioctl_ns_get_init_pid head: 8dddb03b10cf28c9bd139beaec8a92531a746a85 commit: 1ad81fd698dd7e6511c3db422eba42dec3ce1b08 [1/2] nsfs: add NS_GET_PID_{FROM,IN}_PIDNS config: sh-randconfig-s031-20211104 (attached as .config) compiler: sh4-linux-gcc (GCC) 11.2.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # apt-get install sparse # sparse version: v0.6.4-dirty # https://git.kernel.org/pub/scm/linux/kernel/git/brauner/linux.git/commit/?id=1ad81fd698dd7e6511c3db422eba42dec3ce1b08 git remote add brauner https://git.kernel.org/pub/scm/linux/kernel/git/brauner/linux.git git fetch --no-tags brauner ioctl_ns_get_init_pid git checkout 1ad81fd698dd7e6511c3db422eba42dec3ce1b08 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-11.2.0 make.cross C=1 CF='-fdiagnostic-prefix -D__CHECK_ENDIAN__' ARCH=sh If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot sparse warnings: (new ones prefixed by >>) >> fs/nsfs.c:229:21: sparse: sparse: incorrect type in initializer (different address spaces) @@ expected unsigned int const *__gu_addr @@ got unsigned int [noderef] [usertype] __user *[assigned] argp @@ fs/nsfs.c:229:21: sparse: expected unsigned int const *__gu_addr fs/nsfs.c:229:21: sparse: got unsigned int [noderef] [usertype] __user *[assigned] argp >> fs/nsfs.c:229:21: sparse: sparse: incorrect type in argument 1 (different address spaces) @@ expected void const volatile [noderef] __user *ptr @@ got unsigned int const *__gu_addr @@ fs/nsfs.c:229:21: sparse: expected void const volatile [noderef] __user *ptr fs/nsfs.c:229:21: sparse: got unsigned int const *__gu_addr vim +229 fs/nsfs.c 188 189 static long ns_ioctl(struct file *filp, unsigned int ioctl, 190 unsigned long arg) 191 { 192 struct user_namespace *user_ns; 193 struct pid_namespace *pid_ns; 194 struct task_struct *tsk; 195 struct ns_common *ns = get_proc_ns(file_inode(filp)); 196 uid_t __user *argp; 197 uid_t uid; 198 pid_t pid_nr; 199 200 switch (ioctl) { 201 case NS_GET_USERNS: 202 return open_related_ns(ns, ns_get_owner); 203 case NS_GET_PARENT: 204 if (!ns->ops->get_parent) 205 return -EINVAL; 206 return open_related_ns(ns, ns->ops->get_parent); 207 case NS_GET_NSTYPE: 208 return ns->ops->type; 209 case NS_GET_OWNER_UID: 210 if (ns->ops->type != CLONE_NEWUSER) 211 return -EINVAL; 212 user_ns = container_of(ns, struct user_namespace, ns); 213 argp = (uid_t __user *) arg; 214 uid = from_kuid_munged(current_user_ns(), user_ns->owner); 215 return put_user(uid, argp); 216 case NS_GET_PID_FROM_PIDNS: 217 fallthrough; 218 case NS_GET_PID_IN_PIDNS: 219 if (ns->ops->type != CLONE_NEWPID) 220 return -EINVAL; 221 222 pid_ns = container_of(ns, struct pid_namespace, ns); 223 224 /* Require the same privilege as for setns(). */ 225 if (!ns_capable(pid_ns->user_ns, CAP_SYS_ADMIN)) 226 return -EPERM; 227 228 argp = (pid_t __user *)arg; > 229 if (get_user(pid_nr, argp)) 230 return -EFAULT; 231 232 pid_nr = -ESRCH; 233 rcu_read_lock(); 234 if (ioctl == NS_GET_PID_IN_PIDNS) { 235 tsk = find_task_by_vpid(pid_nr); 236 if (tsk) 237 pid_nr = task_pid_nr_ns(tsk, pid_ns); 238 } else { 239 tsk = find_task_by_pid_ns(pid_nr, pid_ns); 240 if (tsk) 241 pid_nr = task_pid_vnr(tsk); 242 } 243 rcu_read_unlock(); 244 245 return pid_nr; 246 default: 247 return -ENOTTY; 248 } 249 } 250 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --jRHKVT23PllUwdXP Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICJg9hWEAAy5jb25maWcAlDxLd9s2s/v+Cp100y6a+hUlufd4AZGgiIokaACUZW94FEdJ fOpY+SS5X/Pv7wB8AeBA1s0m1sxgMAAG8wLAX3/5dUJeDtvv68Pjw/rp6efk6+Z5s1sfNp8n Xx6fNv87ifmk4GpCY6beAnH2+Pzy75/7b5N3b8/fvT2bLDa7583TJNo+f3n8+gINH7fPv/z6 S8SLhM3rKKqXVEjGi1rRlbp+s/929ceTZvHH14eHyW/zKPp9cn7+9uLt2RurDZM1YK5/dqD5 wOf6/Pzs4uysJ85IMe9xPZhIw6OoBh4A6sguLt8PHLJYk86SeCAFEE5qIc4scVPgTWRez7ni AxcLwYqMFXSEKnhdCp6wjNZJUROlhEXCC6lEFSku5ABl4qa+5WIBEJjkXydzs1hPk/3m8PJj mPaZ4Ata1DDrMi+t1gVTNS2WNREwGJYzdX15MXSYl1oSRaWCJr9OWvgtFYKLyeN+8rw96I76 2eARybrpeNMv36xiME2SZMoCpmRJ6wUVBc3q+T2zZLIxM8Bc4KjsPic4ZnUfasHtYVid22Px 8UaEYwRakGP41T0yVY5ILSymCakyZRbFmqkOnHKpCpLT6ze/PW+fN7/3BPJOLlkZ2WMruWSr Or+paEVR2W6JitI6jK8kzdgMEZxUsO29+SUCeBkEiAIqkFl7zIUaFQWVnexfPu1/7g+b74OK 5uSuYSdLIiTVmm3td1pQwSKj7jLlt+4GiHlOWOHCEi4iGtcqFZTErJgPWId/P2K7h5jOqnki 3ZnZPH+ebL940vvyRbAHFnRJC2XtUcVyUMJK77V2L5l5UI/fN7s9NhWKRQvYqxRGas01GIf0 Xu/KnBe25AAsoXMeswhZsKYVizPqcXJYsHlaCyqNqAIf+Ejcfn+XSTck+BMbD4DrQQn6XjW4 KkrBlr2S8yRBO3cZd3xLQWleKhiPsaWD+rfwJc+qQhFxh+p4S4XMWdc+4tC8G1tUVn+q9f7v yQEmYrIGufaH9WE/WT88bF+eD4/PX70FhAY1iQwPR/9KyRxhJeuHHzNJZhmN0Tk4QYDedEPX TPKMKGZ0xQxARNVEYspW3NWAGwSEHzVdgU5ZyicdCtPGAxG5kKZpuxcQ1AhUxRSDK0GiDtHP k4eq9b6u8xk6Ve5QBx5s0fyB6gNbpMDSU//etWk/BlqcskRdn78fNIUVagHOLaE+zaWtaYaK FTFdIcw74yGjFCyWMSHdmsmHb5vPL0+b3eTLZn142W32BtwOE8EOnUZzwasSGwx0Ey1KDjLp PQ/xhLN5GilIpbhhgE4VbOZEgtbCRomIcvW1UyKakbthYWfZAuiXxrkJK7Iyv0kO3CSvwGJb jk/EXmQAAC8gAIgbBwDAdv8Gz73fV87ve6lixyhxrje+ryVDnMZLMJLsnmoPow0v/JeTInLm 0CeT8AfCzbi7isXn00GkfuP1zHKwDAwcssCXYk5VDlujM7BIN81qIQY4SUkBjgGzgCaAaLyB ZbmMHluLWs2dqSPgVpMKlSGpINwfWpqfdcm8SKIBR3m5ilKHNS25y3YYP5sXJEtiFGkGEMAZ L51gqkuYEygyXlcwcEwdSLxkMOZ2aqWzajSfESEYxSLlhaa+y62p7SC1Ez71UDO1eksptrQc +SIy0fwwpnxG4xjdj2Z+tbrWfnhigKBf9TKH7rhluMvo/OyqM0VtXldudl+2u+/r54fNhP6z eQYHRMAaRdoFQXww+BW0LxNZYT32Nu3EbjqGy7zpo/HVjbYO2xAyGKIg+VlguyIjM8fuZdUM 17CMY5Gwbg+rLOa0c98uN8AmEEdkTIKZhX3G8xCTniwlIgZfYJlHmVZJAjlYSaAbM1cE7LWj ZzkpDeYWYiltTRnJwNrgOt8kl54u91Pv5o69CBUsVzoOxZvN7wHTWwqhpB03KBItGqcNjEpu xxTa0YEPGSMgPmVcgyApsOx/OVc6OqozWHHYbBetizROfnL4+WNjlRkgAJKp5SlaAHHUQ8Oq mborQbj0/fT8IzppNtlfeCrocbo4Oz+N7PI0sulJZNPTuE2vML/mE30MTVS+wqMnj8P7s3en kZ00tvdn708j+3Aa2esLrcnOz04jO0knYBlPIztJdd6/O4nb2cdTueHBxZhOnkZ3Yrfnp3U7 PWWwV/XF2YkrcdJGeX9xdRLZ5Wlk707T4NM2MajwSWQfTiQ7ba9+OGWvrk4awOXViWtw0ope Th3JjFvIN9+3u58TiCDWXzffIYCYbH/oUrQdoWinypNEUnV99u9Z+68PUXUBCRzQqr7nBeXg mcV1n/dBdMfFnfZuwrT94Lbt0OCINfbKxV5ezOwamimfJRDaQauaFtrFecimYnUCeghEHDzN aKQ6oXIeUyvErIqImIwPXG3Z1CmGcEFPkB5EfbXAY6OB4sOrFOfTBRZHDQRT6MUOBcNL2BRk 1pD+Th68c4ZBR/Sw6lvBFJ1BDILr0UCjUsh25ynmGw0R6IktG9a56b3cbR82+/3Wy9gtxc2Y UhDF0CJmpAj44pkO5g2BE1SCnpQVFkYaBIT/lRvx6DMFQNiCI/I1pbvtevd5sn/58WO7Owx7 BDhHlVQ8r6Ns4ckipDerXbHOYTXUOk3N6uFp+/D3aNWs3jJdOZvbIh9v3BXnJslu85+XzfPD z8n+Yf3U1OOOIp1VgSD8JlR2w1ofRxvucU6sCe1b2OBGiu33H+tnGMsk+vb4w6nw+CiDI58/ P+qhQ6guX35sdukk3vzzCIlSvHv8x8nBUgr2aUaJZRHKCiZZ3jIVpfYcv86zLzpZ8badGGLq nt7X52e4DwLURSCIAdSl28phd2YVDe6vNcBaSUFgeHGVl5ilSe8kg0Q9aLbnlSR95a2ZhT8n Mv0j3356fOqmYsJ9PwI9skJF/fmGzlB3Lz8OWlEPu+2TLtANzmeoK0AbnQULpus3eElSk7SG ucmdURU9QVYvvfb3/hZxj/dU8LGPPLcnzBTLIJ9c2CQfnDmF3ByczpiDZS22nmGfveyd+eoI LXBjarf/hSGO3cPkN1NEYzn0TbLfLYefW/sgbybUgZB4qUt5MYJqzF/7+/amLvktFTVNEhYx XX8YXG9vc9jnp41vZphXb3PsSNOgt9QnDs85913vHr49HjYPenX/+Lz5AbzQ2AdWo06swkxz UFoKPqMjqKAKRRS5Vb9rcnwmbiCSmctxTj+cFBrKlHNrPvsKeF6aGWqP7ZDzP43UtUA9gKr0 Ah0TWGldq/2OBQWZSBE39Qh9LEMlAEYFyPS2nkHPTXXcw+VsBZoxoKXh6olwS0AXWBnVzSFj dxqOTIOkka5PHUHVCcsUdao9LSZU3zOjg7VSNPLKRC4GO+FQvDtHcwbN4y7IpBFL7GMdQFUZ laaQR7PElCcHLNdn/mwuK2hYxCM4iZQzL22prllBXbZ1A5mCW1stsRVXF5HsEqDsduA84ss/ Pq33m8+Tvxuj92O3/fL45BzUaaL2MN5bSB06GWx3IaOrnXfFsmPs/YraK7uyP46AIF1XwO2d Ziq/UtdJr8+tql8z98g6dquiBNVHUnxRORXimZ4vrJIti3M7KWguqMCqswJ+2UdS9N/Nw8th /QmcjL4PNDFl2oPj2WasSHJllCKJSxahvq0lkpFg6CFsvwotoc6QrGl5Baj1zBl3g7rXuKPi pETALn+NLGcSH1XEobkXfvTqEJo6O2HNjySseCI3HOe0OWROioqgB0F9otiQ+HciAIOAtO1Q 9saXJaQwdanM1oPdKa8/mn9e0ieo9gD4wUnB87yq23I16CqD1HalbTIoeUdCYR3Az5n9v8id emRGSZO2IqzvS86tkd3PKkcR7i8TUA0sOqTClBVgsNb2m1dld2nD18tS0cYqkv5qS7w+rCfk QSdYk3z7/HjY7rxUIyY5L1DlCLX1smFEP4YZs2voVN8kmgs9p8PKLWYwz4oW2in1lrLYHP67 3f0NvWE1kmhBnZONBlJDbootLFiOlWNHVrDDLa0iSQPk3Dl8MbAAS5XZd2kyfe68ZO55q4Yq jmnDKhFW7/qXjg8ybgcXBkqyuXPqZ4D+qauNY/q4KSGuIAYjq5mOUVh0F2qbs7kginoimH0m YatJX7bUA1BZehAIOZxgQi//gt6NAIGuqTb0KnJcxSoua6mvMynMz7DCVQtWNgfVEZGYNQd0 H1wLXnlhDdOxzkzbAdpsQDwbarsodYCo62BBMtNDS0wUVtTpiSBCm3FpzUePiTIiJYsdTFmU /u86Tt15a8E6N8ICtRYtiHBamf1aMqxFg4KtDJqfVytvj4N9qgonfunpHVHzdlTd/bHOJNwV AOMLZgcdDYelYi6oivHOEl6NAINg9m1VjbS12QAabbaS3gbWbdRAZtwQGa0NUzTbIqC+o7EY oLZCHgi66MAuez0hAatl8ILcYvw0CNZSKsHvHDMG/cCf836rYNawo4mqme2UuytkHf76zcPL p8eHNy73PH4n0YstsNpTV4mX03aj6utwSaBJe81FGy1wbbE7zuloqaeu5epBY5vcozqz5MB9 a2dEyVk59UDMzkiapsbcYQs/HUM1i2YTuPMiGW7ilhYPtwVsxlALZ/N0EFwWz/qN5apmOuxH zbVpbxbUZ2obyzDvkuUyr5f4eUzTO51P6+y2kTwkgiFKcxJ5Uogy69uO+mac5DjrISEqPTsw WCN9PV4nzjkRC9dMlapsrXzi7MOuUZnemVwUXFJeBgJZqvos3Qf129jKUASLITS2W7Ul4N1G x2GQFhw2u9DjiYHzKLIbUPCXrshhqITkLLtrhTjStnarM2M8iSJ1DG8ulh8jyPj8GJrLxEIn 2qAVumy0cKD6wqW8kwFeuk13gRfhVLfqMCy6jWzVBVtwm0yfDMogk1LwKME2o0PlX5FykFr7 YHsewRrdDOAzMnPcr0YqLZbidRxFJY6RkSr9MXU4cHiQ+2G2zOmYQH4Zk4BUiQrJm15eXAZQ TETBeYY1nzEu6wKPB92FLfzcHF25Eg3dXE7EvXTuIgOPStzlS1SYSnWbISBHj0d1pCCj39ii aLC/HBrWzLYLy4mEbS1IjG5sCCNBQ1Z3TrOxK+mBxuXiQ2sJAA+Jns0Phlzlc1q4MMcSJf1F QB9YFM37JgfcmA5LOtW8gkIFa6bApxc0ZliOaMQlXn+j4BlgfPYXxFcuzLefBsQVGXf+F41C 0jYlVb9JSiSWD2kUpGBun27yrCFNPujzBHMd0GMYslGLILrTG1wV4qpE9SAET27jAW4rXaLv RxrFOubD61WvscYrr0ytbj952H7/9Pi8+Tz5vtXX7feYR16pehRgDCitfyOHYxNIdzc43R/W u6+bQ6hXRcRcZ1XtwyycfUvUBTuvTEJPPkh9hCp9nUQf25i72MfJMhq/NgLYsScKf0Sqgrw6 U4W+VR8IKMfESSAGsUmCMdFApAsz3mNLlEybHG/fH20wmO4TBwRivCbEkQgJYxiVuRztq+/r w8M398aAt6H0K0USx0Lf9Hqtq4a6eY0WxkdZJb3qE0bFc328+voMd+RFMbtTgYJUoIGJzk4b FOa+cKojWj8Q+aE0QlVWR/Fe9IgQ0KV5PvTKPMcylLX5lDQqjnboFBYQvPZ73RQekyilWYkW fTHa7GiXSE12TCJIgediPU12oY4zyWgxV+lxkleVx0nJUfwritUUENx7/GOqIgnljj2Jm/wh +Nsi6Egaiqb4fpwkvZN+mIBQLdTplqeL0MIUg30/QkNJlr9CEdHiOJNRCoeQmEjutJHpknzY IQw0pg54KkvhPIpFSHqfcaxbHVWcanSrS6961V+yO1J8GapUOkazq1bmDk1OVtcX76YedMZ0 9FCzckTfY7wSmI10N1GL0/YLY9jC3e3p4lp+9gGFh0WPHcZkBTIBff/j4RhUEAHMBp6obHiG 6FEEZWr5B5GsPbtzseYdlhzJtJSj6JyV/3NCxS7RhXlBTCHTengK8GYDjuFNwoTA27zZgzfJ 0Biqz9NaKJJ9ExGob2DMTKGtOa5yYSPCJh8dw3X9oC3u2LMKGFYeP8kDEugZo+m+x3BkGdp1 +md62koNKzL1Z61fkyk+bcPiTNHF8Rj2yxNgh7eyphd/iTEsC8aXlVN7xt21MKg23sbPSy0K WrHplb11LJxW9gCKl3ad00GlWQChx9I8yw8Q5GlwIAI3HxaFFFjrxm+E23YZ0FDyGvdfzP17 ni6FILfhDrz81O32aDLnkhZlw6ffKsd2AmqyppgJGp0fJKo72MipX6Sy6p0NDSJ1dyqS1HTW K6eLA4T+iJFzfGWhFHJX0kEXBFMGi+TD2UV9ifLWN3bmAca4HbUIbI/tgKco3IvTLYzr4C1E G6OiOOmGgRZmmZEC1U93cIKWGV68s+jiVydXC1/j4+qKGbj83k6wZwotBFkEXVFmaFwe2dhe Rtsc00fDuX9zvQsAkyhi8X7kRWyfZdppsovxnX2EyveKA+LV5ioREeiM82oqKOQwhPYRQLp+ +Nu5Ddux7W6/uzy9Vnbg5KUb+ncdz+a6th0FqigNTXtpobmAYs6F9RWF/18DmZJzZI6C9P7X ggzhEQlCZLpfT2OaPp0LHyKWzo/au2WlQaFlVt5nvfRvMLHQgT6ICzSoI3FX2p+dM0BXKKJy 50cdZbah6iDmIb73iQmNA9uBmXGNmomL6Ycrl1UDA0XxT8rbykbPW//GPr5lo5eXbnvHwhoA tWsh0q6dzJ0gNhcj24zYGjbPQcELzgMXAFoybU9bH8RQb5Ef8xRRYq2HYQXu6PwGg9XzpS23 hciX7o2ymEZ4BpVlVkoGPy7c9SUZVtVdXbxzloqUgfeeKfd67VHTjN+W6JNHRinVg3jnpCsD tC6y9g/76QseXw2NgiUO2L19b12gYnZvag4gjKG8edm8bMDO/dl+ZMm7x9vS19HsBumgw6Zq NuqiThPpnmW3cNgqoUqGwZeC8aMEpgJ3TBxhX0XpgDJBZJTJDSaiojeBinWDniVYq2gWrIsb PFWB48OOLfGH7hHMxejgyMBjGT6iMATwP83Ho4+FGAPzGy0FMlWLWYsYDzzli0Dx0OBvkpsx v8h9n92Bk5sQJiILitEjmpei61OyY0KWWTUfs6JKIvM2/g5O54CTG3SJB/8cBy52DQzGRB6J p7QdGNxOwusEv5fcEbVDuH6z//KfN+2drKf1fv/45fFhfAsLvKM3fADopzosGoNVZD78NkaY dOZqDE9ux7Dq0v6YTQMw31GyR9zBfa13Vtz0LJehi8YdeorIlXFEMv/ArScdHbIZjEm8SeBj XpqIGoqj4hP8zkOn+bDcjh5E2GcH4kK/35Ncf7DWCgPACINDJfESg3V/OscGNjojmI8fCGIv nRkwReCR1ECRB27W2+yp90U2XtJi2Tz2Rlou29v9VjTRQka3nXtEBoGQ/zmFjoYJxTjG1UUg nzAt2qtMgbvUeelvNw2p53JkdQuJa04qA0d67VP48VFQnV3qUos+QAAkyvRGqBDXInI/8ql/ 15xCWJ3HdVPFwRfcIVxQWuqTKiwb0W+vxKq5KWR9u8OSAbCzSt6Z57KWNt/0r5Xadz+Tw2bv fr5Uty4Xqrlq1SeBI3IPYb8fsmae5ILEqPuOiP0AFHRYkFvHnAFoFmGfTdOY+a3b+K/zj5cf /eZMeo8wGssOQWjokwm61XIk2XI1AjmXjzQgIlmkj3D0hXg3BdBYokLfYtKJQ0Z1B0G8rIor FpiHaDyPBgSOmyj9cUoPF71/f+YLZ4AwWfiHrAeKjmWQjCVM/x/45KKmyOtjAxXR/3H2JN2N 4zz+FZ/mdR9qSotly4c+yJJss6ItomzLuei5K+muvE5V5SXp6f7+/RCkJHMBZc8cKpUAEBeQ BEEQACNLSqgeaZYus+lL1OeHULknwHr/EAqJZWoJ5UYPZBwn0p6y7QVSPvxx/vqkTaQQUp4y AnUI0pz2QKWSlCYA9ixtTJuIMpogbPUPt7w4K9vuDhFlUkwjkYckXkdYg6o0upsseW8M5XCj avJFXTqQBVKE8VFZxCALU9oL8VNltGGSrq6we2eGupODD2lTp1EuQvOlTT+PZSMB3MzUe8UG fSR1mqXqXXS82cIZ0jXnxID48fT0+D77+Dn7/Yn1DzyeHiHid9afPl059bmAwCX6cGva9tmj JEvR5o5M6E0r3Jc4jggWvBOn1W60HGowCPhpmpPNKjWSQeA/rkYVG81bGwxQW9KgUcmALWKi fN3tYqKXQHdJFhvsLp7Ob7PN89MLJAf9/v3vH72+PvuFffPr7JHPJtXFjJUFKsk+yqBeS4s2 SaU3gIE64qEODgxbFYHv659woGXpXfCsUOxDr9tHtcUHjZHk9SGbKJo2JlcFrK9PZn9bmcQ9 0KSm/uZYFwEKxPoiUCHWnVGDuGkQJSsTjZgKaPX8YPsQdqSVAow0iHqKSRifeHi5ZDqsSzbx M1kP5SrYIcoI0+rTrtUdrAQ+p5JWtolIVioLJW12TVlmgwI8aGaGcnLpeMw2wcRYBTzRxPNX a4qivciQIZzbLtUr4A5CZSH/tnSCPjR5hdpimaQqkihTEoYwscGL25A6P0Z1Kl7+GPq0eX77 /s/57Wn28vP8+PR2advm2EHsn9yuEcQzCSSQVl3iWdvU0ViJ0uDLdxC5bfflu9CBh149iPZ+ NuotHbcTnmUXtvQhy4NqbuCbWk0OaJXjnlerV+8CDikG+m+ZOM3ZJEGKqPLuvqTqSxJDKeLT KkWxdbpVEumKv9WF3cOOrgHKc9nsNXwrv86R5NGQOION1EY9+ANykxZxKhL/oOvfMn3HbFCI FI/6EHyIZi/rLsN10nXjdjZLNce1BMXtCCUZYX90WYUf1KDurCNtNW/bLsVruGezi+EIptLl OwLHM0kLEQDz8k1mwLgHl0xq6Tl+IN6sDyczBMQ4py8yReSSY8p8n9EtFtnKeKI9KcsEGXQ4 SB348fPrzxd9GGicExEfFpcZOr7/r1r0SipbJaPi1oudPM013/3LmMf5fMkGrDjUET5jtmW5 heeX+sIMRjZPf76dZ38M7Hzk7JTTlFkIDOFiKrjbgqIZfZpRhlbntw+epm/2en57V86tjIrx aQnKbaMmomcI1u2Fz7rNkXgVYHDgKX/QAoTK3JGcieMmwjNAS3RN3VpJQFBUNJtsC5MkPLXc 0BYEJbwGIA8OT2n02ydXrUYpotsXffJ0NKbepIfsY2WRneR1aDKfj8me/TrLRWAQz1HfvJ1/ vL8I/SU7/8cYpbKstD5BnQTyYfE0rFSKC2az9HNd5p83L+f3b7Ov355f+wmllRlviD5kX9Ik jXneNkuPt2nRcbz+JSuMmxMhtr8sbGMEu8A6Ku7Y6Shpdp2rdknDepPYuYqF+omLwDwEBmIY HpIzMFGeaE97DBimu2CGgAG9b0imzbko18up0XT+fBGuqXDPvrxGYx9Ekfnp/PoKxrMeyA+J nOrMswFpI12C4tsOJj99Ju1OVNnqJeAlIBDBDSkx9UTGEkmWSo/cyQgYST6Qv3maNOgJthUp eRiPXSjEgefECS60gYApyJzGStDQIECThgJyHzPRJmdO4a3LomYY2SHH0pWREJlBn17++ASp Pc88JpAV1W/P+NKkVRrVHZVzJXJwJupW2GWA2D8dxv7umrKBNKZgIJg7q4WGTWueMw6wrhf2 J4rn978+lT8+QRpZq+0TakzKeCv7wYmQIaad5r+5cxPa/Da/sO86Z8SRnR0d1EoBwpVqtfdM IAIGBULiHrI5ieTN+uocaPq0kdZJM9Cx0yTdo+4dMlWpeqvIKK8FUbrVlApFhBy7vi9CsJ// +cy2kfPLy9MLZ8jsDyEdxpSx7wiLWDOZfpipPpYjtmRrDc/PMZL0m+80EWSRu0KSR/UhtRij LpVlMajPvtfatQFR2q2E6zrOObMmqcq2iHCPg5FkwxQQsrFPDDHDNgvXAQvGNZ52myxurjAj iQ5EszaZRE3bropkk1+rcV9Yzi0jCRxgAgd/mmAkgvPJlZFp8IvkC0E7sbxEn+CIdqU/Te57 Hev2ldmbp7TE3IdGAthoVGnBwZhZ/yJ2ogROp9M1i9NetlXYJTbv5/evyEqFH5TkSGMSQu/K It6RahIpVDMkhcwUbcJNGc51UnjwEeWGRLleN1y4Gl1O45hJ/D+ZjDfzxY8FpXGMVsDgHT3C tWBuvENkoV3r7gBDOk2kHaNFEfYY3tqsAsXjv8T/3qyK89l3kUrx0TSvQdXiA6zC60WpJe3X mHUZMLtTldbi+H+xOazzmEn4RYCv2hIz4/NklDk8udQ/8MUTD6txTzZAV8UYbPCfMBH8JSiC 4KI2DJerhYlg6sfchBZlX7fQBg55ChnM9TT5CnxcapIpqC+Vadu0rClEbvnZwfEUlT9KAi9o u6QqUeeffZ6fVFMWienK9+jccZViYEfsqCXnKxMfWUn3NdO50prfadmtQXHJdgHbzskpwFHJ cp1VJXQVOl6kpNSjmbdyHF+HeMo16MCkhuECS9r9gWa9c7X3ZTQC3o6VI6nTuzxe+IHiR5pQ dxHi8pzialILL5O1HU02qZxlmtC4Y0dy5dYTdjf2A/JZWq41vX7KC4GVVnBek99iGIaOY9j4 Wh776fFZuo1iPA6ip8ijdhEuMb/xnmDlx60Sz9XD2bmpC1e7KqW47tOTpanr6Nv5IAbV3vVW qn/P7zPy4/3j7e/v/PW892/nN6aTf4BxAuhmLyA3H9mSen6FX1UT1v/5a2w16ndBEXhHR3DU rLB7wDTelci46zfT1aGKCl3pGM5vsoQQh7WYkuEQYj5uAs42eZnIR0Dsg3GacxEbNZGsUYgg wzRNZ66/ms9+2Ty/PR3Zv1+x+bYhdQq3yWjrJwu5lFHwBDe6mOmfnnj9+8PaXVJUcpoo/ifk XKE6bLMBG2qmJJgTGJEU+k4xMQhMzg7TpO0xo2HsBcy8ineEZEDnn5V7mtocrATJl/KkESjo 9KB44gxAYUSXuGI79IoPmChZl1GtbB4DjO0iVRCEIdIEjWR1accF09ytEwR+37hO4FgQqouO hPLcBSaaR4qk96OrF2GAlJ3dicaYRafVym+x14lHClW5VsDcxyzFC27iaDF38YBVmSicu5Mc FhMM61MeKnnjFIR6JS8V1i79YDVZX0zxT6vatTzSN9KQfJKTRXpsVAfIEQUem2AIwayuI1Fv rkAL2JZZsiHsTGpeBBnFNOUxOkYntBzK1wSN0XiNC9W+sE0o1gRewNTn5J4uPGxMm9zrmnIf 75Qc1iO6bbRaJWEyLUkgQwXmvCoIePCpJCLF37ADdVGcxnKCWhlFqiZVUntJyF1UHCPUtCQR 3UHYK1p2xTQPKl8T9jh4NijKumPEVMa5Lv0452hcp3KuPAnYhWGVhwtZg5OxUbJk6rzSHwNr cYRRCLnSnMu2eQW9Z2KDtDGpbTWt957ruP6VajiVt8IriU9h3OSRO3dslQiKretiYlUlbBpa aVZKhEBTekyKOS/jSm3JqYiYWofXxA7PFd0RW0PSVE7crWC2UQaeZXzy2FqZtrHvoKZ0mWqz /0IaurcVsi3LhGBCUOkHSZjyaitid2JA9nO+sJgFZWJ2dmDT4FqFBJKX3tkqJHCBfrUmuqCn 5QKLOFX6vy8eUiuH75qN53r4i6AKYYaKX5XEMkm4aOiOoeO4UwQT05Vtkq4bWt4yVghjGlyf MXlOXXdurSzN2MkXknhj7xMrlHTrLfwQ71TO/7COcN4u9hk7BV8fZlKkLeq1rtR2t3Q9W2Vs J88hF+n1UU4gC2vQWt5ClknriFbrtK5PFek2x+sDQ7boY08yDf+9Vl/tNvBHYtlJ9vGaCVcH R06L92PShOCLcX0nOTJFzrVsVsd8xQqx45zAjnO9CZxv6TDblOEitaSkscjfPHb9ZTjxvRDD Nr7wbT8qvpDrMwdIfdyEr5ORBrO5GC1r9vXaIlAAP4g1CzrJY1hcrmU+8HbUkyuUkyQpmAow Nc1oD1zwwQtCfZk2srIpKzv6C/hcxBPjZZOxHOmRqc48nJq61OwVVuZDosx5oAQM6ERcLE20 JqKnCWbw3wk7RVpmJxs8rh1YamBoz3HaCSVIUMynkEscCc8yUBxFSSZeA8Q3ZEJvkCG0cT3f st5pk2+sdbfhIrD1p6KLwFlaV/JD2iw875oC+8BfmrYwpdzlvYbr22phh6jgBg3pgb+2hWlI /eGJqGHpAjqcFLqyYKcv68ecbKDSjyPsxODOW7NsAbeMXU9Sk4eygKCISn0XqUc3sbeQqtUr 4CeQmH0LfLBWsmYHhMAxP0/91mHMbxr9xS6Vb1EbrrzgCoP6PaGrjrUo0bCf5VE4x1rB7Str pifjmWsuNEkKAdK1pYQDWdeY19PAKcL9jpvU0xsGh/gKoq842iz9rm2+YIYUgeXPpObKg1MC cWIyXnmmQoDj3HVWOnCPWi6rKMvhGTYbR6t4EzgLn/E835vNZtgwWGK6psS0umyi+gQXPDhn k2jphc4wOycmSRKtWFPMOaKRCUWnQy+5hzXTZj6+mDhCX00aFckZw2LsCfEef0+9xSrSWcnt NAsDHOeRr7zHrIBV//KeD/WBL9jLetYZBQSL4BaWcsrlDZT8tohPxGnus90J9FHbSqlzMh92 vvFLDrTxnCNpjl1QcdRGvrYbIPr+y+Fe0t+s6PSua0A8HeI7Ros3Pn7f1SOt3d8EwWBV353f HrkjM/lczuCiQbmT1TJicABcAN+tMQdcgc7IuqKe+ZmWK0/D9rdK7MsJIoaF7CjWqqM67tC6 y6yKu6iiuGeioOHRuXoDFAphI1fL5y9/YwfMbZSn6oX9AOkKGgShXMiIyfC7QWyQxusm7LJI 3NB8O7+dv0KKQCTwomnQeHRhj4TgGCWqoapJoeXly/gDZbRE32KoKvU2p8oJmFCTTE0ACQEH 8MprEqm+cAID94PC/o0JOiARF2jKG44ymhKjUHg3wVbaETJWJGq2OdESEDrlBk9vw47y8MTp XUwF8dri9lVUcQ5y6SphXyBPLzhBxpBrgwFI13ZHtvKKpFTcpkYgz7zMJnCeYufKC9k6mvuS jLogROgMXrbIGDFZLsnbri62MVY09yfDENyBDEU0dxg4bU9FSTEMDAre9pZUu9Ti8ca4jvOr idm/ysbpynLEh4/E4aeLa4tXh0xkOHYiNIRBilS9nZLxxf5QNqiCAlQH1tZOewho+Jo2vv9Q eXM7RtUYWpJlJ4iI4q+WaHDNKWDgVL2nDX95U4T3oTLRlG7ilpht4uaVuaLCsO7z+yfGI2V3 4wPAnesxCQHIHftKkWsMKJ7yFJ5Nf798PL++PP3LGgXt4F7aiPsAH8R6LfYTnkYnLbaWGy9R Aye9QsB+TlJkTTz3HTSlcE9RxdEqmLtG/3rEvzqzOIoUcVNbkrj1NHWKZr/ssXnWxlWmeG9M MlItvw96jfYNJmiAgmlu+/HNEigtevnz59vzx7fv78oM4W8Hr+Xw3wHIDhkYMJKbrBU8VjZu 3RD/Z5kLO9IGu0TROy5zWcTb/Q7Rg304wy/ff75/vPxn9vT996fHx6fH2eee6tPPH58gzuFX Y7LxLcU6RtakJhzZtgQXg3whxfnEhctAcccO/5bRAV9wKufX4wsN5EXvqKAUNuV+zfEpJduC hw9OJjnhtGRL4jJDLeuAT/P04KntUn0nBkgnco+R4osRyylGd7vLmGDT5ZhCQu19IjnuXytw bF1X1sMiUJSVbzErAfrLw3wZYlc+gLxL82Fhymu2WdgMVQK9XFgcKzj6sGD6wsTnreUMCJuW UKEsrS25w4Xe2tIWQ8qRR/SFU4Zhqxv1N+e4wt78qrWvFeE5OjF7a0LsA0n92Ju7uHbA8bsu Z+ILVcc5nuTCOq5+hd9OCBRTvzb4AfOCx28/Of5U3O+ZTmqf9vaYghHbrSvLS49Asi+YlkYm ahgIOlx3B5JDWtOoIbY874zimNuZJLxd7ejM3rY2q1YTC0HPoSRcYP9lCs+P8wtsDZ/ZxsZ2 hfPj+ZVrQYZHHJdxJWSW3ev6T1x5CzdQYYaDOW9FuS6bzf7hoSvZyUmfPQ0pDNdd3s7y45vY uvtGStuXvjf1279l1oojhL7RopuqMtmz6JCqPeGg3g8Xw0CuBUi6YGw5PLODxdfjQgAqgVqs gA/RAVLrjQb70ujEkIqHQS4RxJdjx1FC4IaMQ2wh6QlyUhFOoSXmoRUW4kCrXKOCYzzbq/zF 0uJ8DhTwwjT7n+u42OGPSm4t7A9FGRc2KbYbqhF0F/DLM3gyX2Y5FAB6uWSrqJRNgP1pZuYW YfgVHcrDNDP4MM4IpEK546dk1M4x0pjxGRdcrzeMtf4JiTLOHz/f5IoFtqlYm35+/cs8xMAz 124QhqzQUn73TYX34d5RZiVIZCu+hrsva3I/tDTl2a5m1e6UkTXP9FDYXtT++Mm48jRjq57J o0ceXs+EFO/I+3/bugBO86FX+b61OYwgViJ7TfaMX4pziFQUKXI5VhgI2G+SOU5ElZoIsXAv BV5mhABBTDo2F3osvyTw1IoBnjOh61MnVE+jOtbE0NYNnBZrB1M2vADfQWSS5TQJW66T+Kxi 53bQMo0FVLNp/H5+n70+//j68fZibkFDETVjNY0o0rddV20Qbgi4pm9LyM2+iI0DwtjnTa+8 T3OGUdVhtFyuVvhLBSYhrgshBeLC0SBcrm4s8MbyVhbjEUKIK+hmC8MbC/RvpLux3tXi1jFZ 3Nrlxa1V3zptwltrtuyVJmF0I+H8Njo/unHCzm9t4fzGUZnfyMP5jdNmfmtH4ls7kt44G+bR rYTr64R0t/Sc610GsgV2pW0QrWzij2GXliwbBtn1sQIyy02jThbg50GdLLw+kTgZ7kqpkfk3 rBve05tYv7TEEKpkrVbWkCPGsiMK8/DT4/O5efoL2S/HWlLC1EUjXH8wi9oKGCYIjyPm4W3x njZlLsxTkhMZ/J3J78P3AB6uCokD+6erAtfTKUh9r0a7CzVJ3aJ5ffREN1SDxYrdfAR1B1eD 9lqZBuWBPs7F0C7Ctb+fX1+fHmfcNo7wUuSraXaWbVY0Iqvo0nVxDUn44xy1zHNIa1FTkeC9 zbLHsaTE8veLHq/DBV22Oh/S4sH1lkY1eRWHNquaIGhxy1KPxG1u4r7bYtESnjW2RM+93018 B3PG1kdKytboSgs87dBwYDGgedJtVM9Twcuk8b2531pWjnXCjJZ2Dn3695UddBQltk97xGMH teHooWrsuTRhHQzqGYMqoH0pGvfh5sXHTJ4X9FKvRjhF6dU0FYm90HWMOho6XzkOyjeEL2IB bhKTX9rCEz5/9tmxTljT3fyIxYRygtH8LAOzyl/NfaMPWRUuJ9jEfcyMj2jmhbrtSaXo/eJt 5Y4e7epXDLzSDwvDRDQZJ6Js2YRHGNp/hWA5+vD89vE3O2hPS8Dttk63kF5zQgKwlbq3rlPT CIdWPHxzVJIuHF3wEzHOju6nf557A15+fv9QVhz7ZHizgXpsbmrFSThLaoILkU3uycW4R+wu /0KhbnEXON0SmSdIj+Se0pfz/zypnewNj7tU3ThGDMW9DEY8cEAOjFARoRXB8yLC8x9orUCD huuppSwsxcsxvDIidAJrdT6uwKk0uH6t0uAankqDhSfLFIEcUCkjlqFjQ7iWPqfO3NbpMHWX qIhQ54ukgIIXEmRpRx9DE1i6r6pMcaGW4dYXCqskEoSXbgz+0Bq4d22FybNXQv56BCdHauCZ kbWy1lHDltFJDmMdiwOT7hbu9dkO61iO7sP3UdyEq3lgebSHk8RHz3GV+TdgYPjQWHyZIHRs n4ZYBKFC4GGfinCnyV7RNRb1PfCFYeVy86iIevBEe9b34BnbYg3qURYvfp1ql9ybwwhxhktn 7lgxngXjyUFhQwfN2OYBMziEmxhCK6gHm0d8OjuYVBsoQIPwlmahqvQfqRt/EbhYTeBm4y48 7GJZaow7D5ZLS0OXy8VqqqVsFOZugC4Xjlph0/l/Gbuy5raNZf1XVOcp5yFVWIiFuZWHIQCS iLAZA5KQX1CKQtuqKJJLkusk//5Oz2CZpQfKi2X215i1Z+9F5vACNGuAIh9zfiNxBCJnBIjV hVqGbHdlMk+IPuxPHMJGZ4sI14GcDhm0urfduJhoT64UVkdb2wWOZfWYitB2bJLB7y3mUZl4 kY/NCHNF0+12q4bHPF5Ki2EK3xhY4mNOuqrGvoqrTn358fzAHRdbPZruU0MHHmhCB/rQkNTi DpDxEOpHruWyi7/6waHIw2SQf006L44cNHfQQxpO1BYtA1h2SRlsHVRUODydKYyk+8Zz7GYV wFKCqqHFxSGvdp5YLpCg1vDqox8+pa8BDrzV/DkLNvomMPT0Wgl7lLUUXcuTAIeLyuKpkYFw CL/d+VvL1oyzcLVa8T5kKTbYS/WyXa9EVN/BONB4obfVK1n2LI92TSLLnm1UOqqxTOOrA9UG 6Dzp1ZnRWO7K6RIS0h2ZAE0/hQJN2Mk5GDFAiMoyJkTNXABGOpv8be6RZ4aVPhUMMablucBb H8043mCrzgiz2T0yKgE7RIS4xTi3sUbsQj90jIIw6jayFSOr9p67KxP9q3MOfhhrLaSKwlJ1 fWaXoDbrMGsqgKTtxjLiJ5s0m1TODLre7oiP9wroLMgEprdOcG23iX1X/2Rl9eJwEnRBbMdp lhgKLipDvonC/gMe5DJFhm/vYibzapDqXR+MjWBP9lSFEDECDSDIGe5oouq5A7UDz/G+H/Rg rYxPDMA23yYptDiKYyTBorTKiHG/BPsV1wlQTyZ8K6MY1yMGyDxPTrcOZnNPNBWUX4ahqcWh fY3iDFuLiqHEsL6MMSY2NVpO692l2Dj+SpczhpCdIWz6VpDBpXDZLkv3Mw4dV/qBr3Vm96ns 41CljTeTKNFclBK6iQrZ3IGXoQxcx1iOgYo6IBKgOTFyWmzQNvrSonvOWGi645cJCRzLUW7O dqN/RrvLJra8hAgc3DsXjaELhXBxHovzbsG0t81wozG41jujhThS29sjScHjjGoOq27dErhJ gKnGsgS0/LatQcRSNkiw7aqldLLDqdBvWicsMa1OQVMP124t8tZS1GSyEMf2XBw9j/EYF9pi Fy5nn7ewy0NzYRBilLCAeakYagvCGPh1IZZJphn4AGeXDUluUYtthz3YsuHeyiFF3XW4AQ6d RaW2tXpBZ5DdHCqHK7e0JZ2v1UNEofxs0y5vh0te7WrwTG6vLPj1gcDstuicnOVEcOMJdiju 2IeqZx4obm/R7uHdhF3/MQmZAkJraYk3UksFWrv6eGs6t5egyW+ZToLQYhUt805TfAUGexn6 Xd0P6RnVIGZtVEs2bGWW5mRIMu4Ee9TWXA7xsAs6Rr5FIQJgIWEEt8QCBquZFs9T+HscaGCJ 8Qk8Hf5cLDA2tVrRFQf9vNZjjY0Lg8Pr/fdvjw+4cVLJptzmdPaNmXGOOiabFkthwhSbvP3r /V/Xm99/fPlyfR0duCrPVHtc+suyAUf2WmNNAbiwNEWkufuHP58ev357BxfvSWr1o8swYZM4 TpmyLACGGRCNMIyUgrtr1xIw8Nsu9QIfQ/TdyoIYB6sF4iYkl0IOJLCA89nAQMx3ygUjaRPH lhtwhSdysKTNA+6CYUcnKVFxE7SaMWukUA0HvmDTiWI1AfX2Vkr4HHhOVDQYtkvZ1j3CENIm fVIp4dQ/krY5NqI+zKbUaX2SY+NQ7YfYSqmkRomGDOEeSpJVBx72TYeOlzRrVBLNPhkSC3S2 fJd5mqvE34isaz5RJucdmXLRBmhNaVaesNvvseRzhZTPwFEmXKOVeVWjOxtecDGFDXXB9nSN VlAeNnFP9YTPcDFAMw7v8R2pysb2H5jLMl7IMaajTpq+1vNOumKKLJtbti1Sg4L1IGOzPtLx Ys5WIWp/niD2iUkWoRFMMnSz8KyAYyqVJNtogC1nYvQaj1dqOjA/pj+TH388vsirwkxTpBMe Htk+CqL6iVBX4UbNgkerwJw+AajtLkfSQE6pZRmeOE7EdbB7+glPSE4+qa0wk2cH7Gaq1PXQ h5+JIdwr3l4n8jFXnVcAfZeknuKUZ2KG6I6hSW7qFCUeETLb6WquSSbkzI7BpNeEok4MgpAJ xUXIhEwqcStzEk8gzfUmHMkQzZUd9OxjVeajTZrjtn0zZwkSjOm20ClI1lhF5dMZEEs8frEo Oqr02Hmbs35U6uTuUJ1ss9sU3ZMlMlyOOe0Kc5oU7t0hLesUNRtAs3SM8SqZRydmECT6ktzw Mcoj5u1fr9e3h/un603SnGYjLAjszY7AC+uLiPKLfPKL5ElobAAI2EUJ2vMAlZ+sU//IwYZ2 mfe27ylFzdhkDpAXUxoBytYKlif7HH+Jk9n65GwxzFOr4B077Ppj4oJtN1T0ZFQUEKob208h L9Z6T84CBOyYh57rYDJym7e3l7pOzXyMUtpWKY7yUFsUYgvWTcHWmsJsdcFTElWbU0V5BPB9 m2dVWtyxYyo7P7GdgiU2z/QpO+kPuy45rwxbMIwyR5KRkjW22sSA6bhqg2nc8fFumRTEGfpm Dg963DARQaWw/fxBp1tzMTKp93KfGDkBziZM/BwqM9XrEy+wjKZ0EKxsvccEMytR3YzqSrXl FVj+QojIVJl19sbyODQzdKaBGztxPz68vlyfrg/vry/PsH0Xh3AQm3u52eXj7JIiXIXyGUcP pDz13r9PXxy4n57+9/j8zE68Rr8bBeAv+XzXZq/2qYpHnoFUpKhxRxMja+D8e94NsoJPtwMr dRCVNMTZDGQ0Dh9LkKSU5PL3v2CdM3oSAdcoq2Ix8Z2TD/YZ4GgCrDhTc101a/T7y/3rH283 /3t8/2avHZ7FkS2AeMP+23YzE8b8KGgsY1gvsWDgGN92D3BlQvQbPI3z411b3+2bA9GFSF8h wD0N/J+fBccWA4FHVKHn7WBRCCleS1g58Rg7T3LiwaWRhgDM9SPPjqjvSwoayR7+VaS3IuEK or+WyHjkOKifQ5nFdWM8cUCG42UFxGt5u8GTvN1sApweyD6bJXooe76W6Rus7W8DPw5ReoDm WyRB6CEZ7FIvxgHwOlqb9IT6QeF7WCcICFO4UDk29o8xXSGVA6l0QjdesbEUiUGBa33dVfks fjoVHuzlWuGIkMYEwEe6HehhgNPVQFsK8u/q0/fxv+HzXR+7sJQ5NsiI5PQtRg/8wsfL3ntO 5OFvWcvaFHkurtYxs7CTyypDRiPXx4xNJQZPVaxckNh317oYGDxkgAk6PkkcujLEJsKct6GP DO+8quqhvfUdP8RKWZJ+Gzto2DeFxQ8iYv1ei8GMsYSRWTQObD0b4mPiPyF48wh061iQEANo GW/dcLgk6bhzW+cBv2gdQY5rTVK6YYyKAkBRbAsnpXBtzeulCbAtWADHoU05XeLyHawBRgBv UABZrYgdWSkVKIFgb7MKi/c3mjYAeJGYLKPDpi3Y4oMMjbYLQheZ6oHuo90FiMWJgMyCRtab TzeHrgiMG0qO5IeSpFR/dZAQvN4z2mYHJTTlwlCyk95A2L/5PjfuuxcOxfHLcgJMVQ9WM0BL z3fWVlPgCNzY9nHoGCpRJtcmwGYI2hFhEIqcHokfrC027MA6UGLc3wDUEeoF6MuYwhEisykA UYgsvxyIkO5mACip4UDkopXjEKojLnGwzRy6++nYurdxcaPumWdPtnG0Jr+cY4uXrjj7nkPy xPM/6NeZ03f79aR8u/K5xpsmvbtZbRrqE8+LjOcmgYndzOrnjCVAW/aUEtdf3Q1cyjhwESEA uhrbREFwlwoyC+qEUmKIXHQmA8RbW9uBAZs0OR0ZkEDHtnBAD/CKRwGyjAM9QgYF0GNk3DF6 7CDDTtDxCRP0+Bw8760lrS22QHI6XqZtZEknQhYooMfIDh22JlGwxfoP9L0D20vczIDkxegh VpeKnNiuFCkEAMEG3WsDFKOKmwqHhzSRAPBpqiHsmOoQ7aA0ua9WLiqUZMUalkCEVOyeYYFV YLbSHmnSE514lM1TUwmGEeWys5+LAWLXZtWhw95eGZui63cSyUiJLG48xEXq9+vD4/0TL4Nh jAT8ZNNlcrQrTkta9QVkJg57zIk/hxvWOMY3J3hitnyxy4pbOSwe0JIjBOfTk0mOOfuFhU3g aN1SoirjCfLpQLCLNQBLkpCiuFMzb9o6zSFcj1YmrsZlJH/XtBnF79YBZ/10qKs2p2hoAMaQ lZS1pppVVmSJFi8AqJ/xyEiiu8td3hqidNij6lMcKuo2r09aJc/5mRSy/gEQWbZaLDROvTP6 +UKKDvWoIpLOLhRCuGmCetdy7QyVmickNZLPO1sj/kZ2rdE13SWvjgRX+xDVqmjOBhiqdgoM RaIZTHNiZrRykVX1Gdd34HDNznNZgts/Cik85IkRdFlhKCD6nVqQktztC0KPemm4tuzBou7C P8yTtqb1HrNi53gN0SwybVRA3JccEYOq06SlbkVsWHlEkQpsKZnESbOURDQGQJOxA/BdZUw+ DTgMTzBNU44WLEkeJVCTagbcse38KGZzihLZPqE1bV4SoyBsprFpSQuYa5pakqRZqcfP5WTw EQ/BvGyfdRkxJgVGzArQ3kVDnXOOU9UU+jhvS63XDhDcjtBcOofPJKN7aEna7rf6bkx3WXkl ur1Fu/xcG2O1bqjNQz7Hj2yk4g/BAJ9gORwail3n8okpz3XleyD3eVXax+3nrK2hJnaGu5St htbpQ0SaGo6nndFpAhl9hIlf1lxI0eAPediaPvuyUTcbc4JC28k6gPguQklj98LYmteX95eH F8TBqIi6Lo1qIPCp7FdJR/ODxHQ25TWSu5vWKiN7opahWdVNTkQqWH1M8qHIu47t37KKreaV WvBFKV0ispW4VOcNrgWWMaFsc2yIc020oslV9SyRVFVpGrFcXU54jaPDMVFbUs+UVFV9qpJs qLLLZGdiPHaWj28P16en++fry4833qajhpAuB2km4iY0WUtziyEB8O1ZZhD0Eow09XlGTfAj HVLeB91BrxYj8U3XKemKtYIAX5pTsoPu69kaVZEChpc9p2FPS7WtWb9R3nHgDYARzP6GSCb0 xCbjCvS12BLxq6cKd6WMkZe395tk9pV9k2IjJAmj3nHG7lWqNEbfsNWgh5Clx8YQDO5pww17 LEmA/NADyNqSJ9c3GORxUMSui6U9AywX1KyW8bQxCcOAHX2MQsN33A9NWfPN3dyIwnzgJnm6 f3vD55gl/plEvKRa53blfOCp2HT/yw0vc1ez/VB288f1O5se3m5AeS6h+c3vP95vdsUtj7VG 05u/7v+ZFBrun95ebn6/3jxfr39c//i/G/CsLad0vD595+/7f728Xm8en7+8TF9CZfK/7r8+ Pn+VDDNk6UkTYbcuN2uOGb7JH3Un/JGJg7xl0xa7JZvEIZIP6hIRlysO1Kyb2rpQuonrNaDd c6I08hyZV52FEH0AHmW5zEPsknTEvFAbmempUw+kvFeyM0XjG4nhDjGrL7rkFKZojwc59jdK LC4dBBv3CmJr7HRa++T5swNl70JfbPhJGcxrYIqRjbIbfoO+z7lPUOG4xFoc1NybD4WWsIWC x+Dsaq32eX0hLTv8tXobwOC0ZpUdadaJ8bvP++6E2gcLGQJbjf1FT/2OfYK/p/LkP/O26m3y wOZ5+OsFbm+si0fKVh32Hz9APQzJLJtQ9U80anTfDqwXwM3NWguwvqipLfYpzORiqmKbSoId gnmnd9qUxTf92rGK59XDRYtKO2XkUGRGEj37RxDn0dd8++ft8YHtDYv7f7DQJLycR0Xs4MID 9NInDKlAVTciwyTLFbuT0dIfohLYLCl5+Hjuy3CHKmDPK5fjmlIJcWi0IqnLWWHRloToSpFj fittOC1NpZWcpIcMF4zurslscy9MoAO95J2qYFuWqGF4xnYCuWoBOtEsATSEV1X6/vjwJzbF zl+fKkr2GbiuO5WmFaGcin07Y6YKd3rsGKt3+SQsbNcIm61FVvnWSwtCuNCG6TLDRPjVA48U psG7FmaaCqbt4wWGZ3XI5hMM4zAFn3+G+bvjAGHbW+yakoPcXtAxvuFkbNJaUF8rNhjVqRpA nMwDTFmc0onWqHesxYdPpx2+IMhMLflkK5NwaetphRqp2vGEQ3qcB1EJ8NyBvVTNaGBWsWgC 3HfUiI6OP4xyyS7PZCpWWoBCX/9g9NYA1z0nXf5ArczR26Po/GCr99wYfl6jVlT/uEsIOBTR qUUSbN1eL5rhsmeWnOBvowXrztNdBStpTR56jFG+DAehAPv0+PznT+5/+RzYHnYcZ9/8AO+2 2NXCzU/LPcx/tQG1gxW01KtV9G12MCoA9gQ2ARA+XpATN0fzRtX9EqbN7MzwjcfG6V5eH76t jHpC2agLCDaAQ8fidoMztF0cuLjfOTFuD6WvPRjPLd69Pn79apZlPIBSozDTydQW70hhYqs1 PdadLmUjWnapNfljRtpul6GBVhXG2fTWmlTSYE55FBaSdPk57+4sBUWnlwmcLikQD8aP398h PtLbzbto5EV8q+v7l8cnCMr28PL85fHrzU/QF+/3r1+v70psTrXNwflBjke7VqtMWOcQS20a ojxxKFiVdYobfu1DeParLCjX7V4wkiRs1ct3eSHadXrku//zx3eo9NvL0/Xm7fv1+vBNvjGz cEyptl0yKNEJgDCt2HOjAfGYdDW9Qz2gdBB5kG0lj4mazkicLJ//8/r+4PxHZtCse8fCDLcQ FI5vzFWsghjQU9UZgR3EWY9/uVfO3MCYV91ej4kw08EsWa8cB1gx0SHPS9qejZPCfFkJRUE2 Y9N30+bD0nQzi2zRPwFktws+Z9THkKz+vNUrIpA+dvDZbWKxX0JNHCllG/MIS14gQ8KGzanF Dg0yo6zLINFDWWF/ouubgYnOVstwq16hSBB4yVut6+jb4WOeLabUonKgDbLiAHBiaWmQCCMF 4+ucFq7nrGUtOLyVr721vHvGEJityiMWeIhgccAJfSw7jvkhduRWWEJbujEClBu3i/Hu5chw SfGD2CzNn3wPe0KbczZ8xU0IZXv1rYPpk04c+xIU0LFvWzbKUA0WiSFQdXflTz1M+3FiyErf 8VBha88MWZMWYPBRWWnPcWyJhTS3R4Ddc81oygZ+PK897ASuznzyhGraCQE/7NrMGdOYH3zP R+YHJkCeK2t2K22yTZBP2j503fmWsnm6f2c74b8+mrDZBOWtDmfGELhozwISrA0PmPziYNiT Mle9xqsMq73EWTBFS4kh8uLAkny0+Th9NhGvySdPBWlvHqYAm/K511x0BHa3btQRPOjdMg/E 3WqHAIOPTHJAD7YInZahh1Vg92mjHAxnQWqCxEF7HGQPP55NHOIguj7uEg+Psj0zNJkccFUa EpO7Hy7IL88/w+78A/kmtNx6lih+S4/Zw77PPFg4d4MLDPD3XTmQglhCw8+9YnU1p3AMZ773 W2tOfx0XPh3WmvuIdnW7cVc/W1TwzG/ZkdJyjJ8z1f23mdXHAvfM7dyx/zkuulbRrsTup+d0 Z5/RxpdFk/ie5YpqlkLDfS6yd7a5SpvLUPc2L+QzS+dFLm4Et7DozowRlii0OJybt0wHm5dG qUEtjuHmGaNLXXertMqsE0qv7DD2ur4KTj70p6GdlmR32ksv+yM/vauSYZ+rKpj0wun49fmY kikOAmA9cc6Gqu7yvbJAjajNV9II06zYw0GJIp8eM9JgB8jpUziw8fs6JX63VvH5PHzql6e0 kQZPZ4X8wHlMN5sodpb7JZW+EG4pGzmx/nvgugLO334Ua4CmJpCXrEA0yfNByZ79kI23x3jV cGEg++bgP+dg1o5GbmveucHSmgIQd98wI1JywB7mxsYYdsVQ7xUrHBnB51uJg1/So0y8HChy 3qMuuEFdenJgtVRfCnWlUOBmE7toOqeNdBNz5u/WwKqkwKmg9EhHtR94FybJnTEcuTeIt5cv 7zfHf75fX38+33z9cX17x5SPPmJdsj+02R3+6MUEMVPdMAmKdVjNsLgU4+Mk/wyBAn71nE28 wsaOpTKno7GWOU3MzhhB8KJqENULmZG4xGDXa0Qp2yFUFr+bgiWnBHNopjJxPSNLOdNuG7se knnFvwOn36sJp6pygQLAW/xa4QUXt6Cz53Eub2OnxzKJvSAY6Mqnt+Kvcjsn9YTZGJw6ZD0Y 62VIjgJnLdPWp87mHKYjh7zCHY0kx5YlNDvptPiazoqCVHWP+vKcuWq2rRj62o2wQ4aIplrI GsVAEQN4BOaUjhd2rqwgdL0xtBMetZ6+/HhV4rEs7/ejGzG7d23GMdyCi3I7y+SsZIVj2iWv 8VwG0uxWGPZdV7Zs5Vlhyfvm/yt7kuY2cl7/iiun71VlZix5iX3Igb1I4rg3sVuLfelSZE2i ii25JLm+yfv1DyC7W1zAdt5hJhaA5k4QILFcL5c9BFJ4vu0hyBdJD1ZEfeOgItD48epJ349X 8nEPQVaE6Zfe/jVqTQ8FrJ0S43WrJAiY4YCOYN6mqO0bzGXZ11hYlCLum6xMDkgFq4IVH7e4 4LAxw4kv0rEiqnht3YPZFG08+T6atChpwZbJKrxB5kG5U2jQVe8uae9DoJl/SeW7AA/plqog gAWnWW8TItDDl5tONjGfiwXNe1p9tGcfLDNWgspPzHAndJet6TD8ManD1DgBMRhaz1YpRPTb JafVTPeBmzRjrCq0oQ3xecuCGlNCV0AY8oRUa7+sPDsh7ibVFyVbDTqezqwCQbV3FXvyGk/u rnDrp4K+BerQAzo3eYMv6B6o5ssofjC0YdW7z0BohJPJs/RCWJWDXh4l/WwwNB0u4Ntryy6q dUOkjqV2KlPGk8BM0YxNTwFGM+UmFp6fAi12gPN68UWeMIFBUhu/UVk/SSkjYbMixHd5eozw vCyi0F+ZYkDwuSeZCeybMI2mPQXI3DRpOfYS4Obyfi67YFevnhM3r/vT5u2wXxuiQpdk3sGq r95ej98JHb6AFmq3dfhT6lQ2LCttiGzhGK0r/BgE6Bqy2Qp12Z6HF/8pfx1Pm9eLfHcR/ti+ /Q++/a63/2zXlI0Xnv1FWkc5rIDMdTFgry/77/AlBpAj7c7wXi5k2Zz5xEJJkDzAX6yc+bIP SaqxjBHJsxF92imi1EPURmYj2qs6Is0vff1QWOQByClo5VajKbM8pw/ThqgYsg8L6u2G21qd I90PVDge2uy/w5cj4UxocNivntf7V99I4HdNeFx6nyHefUU+B2mnyld2+svir3Oo1On+wKdO I5pCPiJVRiF/psu+XgD/vEvJNjpfqhd9kKP//ddXYiNlT9NxrxSeFXRWG6JwWXq8Q8OWi2R7 2qgmBe/bFzRs6fYs0ZaEV/FSha7K0Q0ySexzqan190tvzEOft6tq89O72xs27eXhUTxnniMC 0bDcBQtHtJaJBGVYWKYmBNrDrgzKNHXKaS9zqD7KTk7fVy+wcL07Q/HhGPTokuZiiqAMaIFJ YpPEcwJKLLB3+sZNYss0Qgo/wSLMytLPdppjnF4pZOfN/dQIlf3iyFjQwSY7gg8mT7It16XW wHsk0plU7ly+KOdwuX3Z7tzN3fSewnaGVL91onaXtylugpGIp939vfp5Md4D4W5vrqkGWY/z eRttIs+iOGUZ5e2hUxexkOE/Mz2avUGAvjAlm3vQaJxZFszMxWJ8z8qSz10b8rY/hCyBqmCT qTSYlW1pXq0RBVwPnTOaXQoFp60S0Vab5SF9LpPUReHRfkzqbu1GIyrmebyswrOnYPzvab3f tX5ujo+gIgZdlN1f6+8QDdw0cm6AWgpTB3F1dXNDwZ3Uo2cUmjN5u3G2mbHAVXYzuLkkSlS8 qUjVzbK/YFHd3X+5Yk7JZXpzo7+8N+DWi4RCAAtAF6ChnrovTnMzjEgjpNRRMaLZdVAN6mSI mUM8+iM6ptHcDK8S0I8vi6s69JPwkf8sLO3Qwu3SY3cgRkSR8LWr1e1F4Q2TLJWtURoO69hz GLV3JSndQO65cLKuVpTYJKYXa2CKlA86S+oR9zzJN93gGVoNiWnBPRYALZ2Y9hckntjAT9Wm TJX10fNdwoa8xBI8F3d49MPKC2demrYpk7vSXw983AWBrhmPPM5GMh+YmGLQB4/AiQRZlc5o Ob1hcVgbbNCAZ55ikjzPxqhYFeEEg27QC7as3E63kq09/93baIHJdgIzboSI0bWQFluVrdbk 8aJ8/3aUB+6Zb7apTixXNvRD6+5Iez3SknHqdSzDUkCHVWbh6PHmGSuka1OHQJlUuKbu5QAd GKnWYjaI4aW3qYrk6vb2Y5IvH5Eg98O57+s2UHEV1hUb7CVrV39fhcWS1cO7LJUOmB9T9daH VH11pWlx9TGB3RANL08t5S1qz5CG6umHtCYZwK6hGSySCCYvbfqaKUImcG3LznhS3iNZJ4HI X0vansighIbRxx5SNcwh5QWv58CCPNweKNuDone2gDtIO7XB1eASC+1Zb2fS649I5UPJ4P66 Loa0lIZE6rjsG+IovcPwCT4SGei/4UdeBgGyQMGL2D9BKI8Mhp58zmoDYfqMhzhOAwbjn3oO Xpe0r2uKEjlbb4FNJoCnx2yaWtJxw8NNptvtE9QgQj06bFQVmu9XGgbGD7wa60xuNwe0uF3t QAh+3e+2p/2BFBBADYjS8BY4oiOLt23rKUk7Vxhxd7l7Puy3z0Z9WSRy+9qsvXNryHVZjDL6 a71ROjIJUFZM5BwovDyvOa2+nynyMK9oDUbRwBAPcMXHcSE86XJMwv7i8DXTXyXKqfGIDlam vs9wCWZRjtXoQyJ56HT0QRul1lBGzGMd2rIypwkuSX8v8VD+aGCV0IyGDnRrOpHN3xpV0Hx0 C1ywZ1Dba+yPCiqzOTrKju0bm1ailabDPaXIF5H+6RPkSpbxDbK5YK6wP1lcnA6rNQY9ceJb lpVRFvxEI7YqrwNGn8NnCrzVq+yPZUJFz2dlPhNhjHy7VJFLXFzn+Ki/mBDt11S2Yky/U4IM Tl9O5IUeOpvnS/OXvN2wfR7LhKe0jZiMewN/Z3FoDIYORybh0U80Irn98hK4AH1kGcT+CHZh PjND8cjvxKwACT6z56tNRY+oHrW0SWrvpUK1exrTx5R1qaK8grfo3CgPLu2apUkFGoMajpZq pd4JBOUlX9YsTPTbBXx6H5UupA7QygjmWsOhaWaNYBCM9XEYodlhKB4LOwvpGQ/KheEg24E6 r0i9tAYVzHhS8QzjtmcMA7JQ62dUEsa7CkSuNomRF4FGpcz7yXSWV9oFjvyJnq5SzJVrY2Rd KMpgTg3hgomMk+tM4S2nUAWsRKxt7+korer5wAYMra/Cysi2hmG+RiWme6OvIiXawraDAaNT 64siNGL+NAarOkEOM5aA3EbDMGQnF7jrIi76CViyYMAWR6Am50aAHY2YZ1FMiSgaSRrDeORF 5zkcrtY/dLdZmL5R6YbDa8CNTXa3wEJQtGMH4KHTFnRrAqEqVxLicfP+vL/4B/avs32JBMMS BOeEdS2mY0ESSCIRa+beD7HI9ImwXIO7aHxjPmZZhdcLbKx1T/0j14beC6Ll2vGO5rXIHtDY KU6pRQVju8jFg06l1RkXE3PFKYA18g2U4mQhN0cOf6sZ8mS0RzymBcbYf2UcAnchjKZ14lmB sZSdOpasqijTJom0dvcZNqSAePgXdROZ2awl6hrg7025yD6kaYbUTyDynIoPUKbBqCQCV4R5 xLwsxsdfMj3kOPxoDbm/ftoe93d3N/d/DD7paAxljmu0vtYD6huYL37MlxsP5s682bdw9LKx iGjPQouIdtAxiW4p11qLZODrhx5a38Jc+Xt4S1stWkSUybJFcuut/d5b+/0Vbd1mEt3QVwtW SVRwIpNET41lNlH32EcML3NcgPWdt+WD4e+0CqgGXirpO+PFtk2gbPl1/JBu+RUN9vTzhgbf 2t1vEdQbmo6/p8sbeFo1uPZVNPAtvIec39XCLE7CZiYsZZg7N9WjErbgMMZ4WxQcpLmZyO02 SZzIWcUZJd52JI+CJwlV8JjFieko2WFA0qOc+Vs8DzGwYuQWybMZrzw95lSnQX5+4KanJ6Jm 1Yjyr48SQ62Fn67Pjn5LgAuf1F4MTUUZ623W74ft6Zfr3GeffPgbRMPpDGMyOudWKwSp6L74 ZA30IHmPtcOlEjNARU7JjbrSYIhSAVxHkxqTBcv46WYYcBQXpO6SxqV83akED8ljs6HURRvp 3jFhIoozqB8VEZRUpSwSNrEsu5ocMvJmgFXykSIWGHd2EieFkbmKQmMwnsnXT38dv213f70f N4fX/fPmjx+bl7fNoTt6W/eqc3eZHvinTL9+elntntHA9zP+73n/393nX6vXFfxaPb9td5+P q3820NLt82eMXfMdZ/3zt7d/PqmF8LA57DYvFz9Wh+fNDi8nzgtCi9t3sd1tT9vVy/Z/V4g9 rxYZshkfwR7qLM8MBUyi8kyNqSfEkkU6go2oUWriWSiFZQyWXqNshSOJSQj0ZUYjNesrsiMt 2j8OnTWOvWW6xuEqzjst5/Dr7bS/WGPU3v3hQk3necAUMQzKmBVadHwDPHThMYtIoEtaPoS8 mOiLz0K4n0yMmIga0CUV2ZiCkYSdROk03NsS5mv8Q1G41A/6HVhbAojHBCkwZJAI3HIbuPvB rPRTd/HBbac4RTUeDYZ36SxxENksoYFu9fIfYspn1QTYpiH8KwwZKap4//ayXf/xc/PrYi2X 5ffD6u3HL2c1ipI5VUXukojDkIBFE6I5AKYdDVu0iIg6y3RIlAWMbx4Pb27MZHBNzu3Tj83u tF2vTpvni3gnewmbU+XcZsfjfr2VqGh1WjndDsPUnTwCFk7g2GPDyyJPHgdXemSjbieOOQZw cTsUT/mcGLMJA5Y3b1lGIN0zkPsf3TYG7piHo8CFVYIauor0cm2b4RaTiIUDy4nqCqpdS9MF v92l8eNCkLGK2x0w8Q8s+lFXM3dKMC5dN34TjM7oGb6Uue2cKKDd0CX0yd/KufpIGSJuv2+O J7cyEV4NielCsDtYS5LtBgl7iIfugCu4y2yg8GpwqXJeWiuZLN871Gl0TcAIOg6rN07wX5fp p9FAjwLf7oIJG1DA4c0tBb4ZEKfahF25wJSA4bVtkLun1KJQ5apDevv2wzCO7DayO8IAqytO rBeWzQLes7+YCN0hDZJ80cTYoBFO4Ih2ohn6OXOXaYYMBXPfR2XlTiFCb4kOReTdfoMcyX/d M3jCngjZpGWZRC3eFDwdXhR0fMxu2q+JYquYfkFr0YscR9c5QcL969thczwaUm03HqOEVbHT ueQpd2B31+6iTZ6ohgJ00sNnnsqqiy4tQLLfv15k76/fNoeL8Wa3OVjyd7cUS16HBSWdRSIY t8EqCMyEYpAKQ7EPiVFnjYtwgH9zjDYao4VL8ehgUcSqlRRsj1GLko3om9aOsJVu/QPbkVKj pCNhf8xdwbKjIGXxDhtnUjLMA3wdNpNBdRyK9Z3K2GN0V7EVipftt8MKFJjD/v203RFHHYYx pfiXhFOsCBHNsaKFkfLSkDi1z3s/VyQ0qpPs+kvoyEh0e6SBGMuf4q+DPpK+arxH47kXPTIg EnnONIkimdZkQSwEVj6mKWZBCuUNCMb+PxepIYtZkDQ05SxoyM4X/2fCqkh1KqLK5c3lfR3G ouIjHuLjtf1yXTyE5R2+qc4Ri4VRFF/a2EBnrFrCm8MJfVZAFD/KwODH7ffd6vQOKvL6x2b9 E/RtPboUvkvpt0aC6zvWxZdfP33SLoYUPl5Wgul9om+G8ixi4pGozS4PdgFGqS67Gy7ypu13 etrWHvAMq5YP1aN2qBLvNk94FjNRC4zBZER4ak0BumJBBELneG3VtDbMIB1lYfFYj4Q0NNXn TydJ4syDRbeDNl2t9v4kItLMBtMaxqDhpoEZSUeEoHvB2WCABrcmhSvWhjWvZrX5lSlZw88u HJi53SQGtkscPNIu/wYJ/SrTkDCxoJeTwgfcrvqWymAQWiw51GPz88DVJUJNvbSVBwzcXZGx AFkW5ak2KkRLQHRB+VFmJjoXidAoduFPyM3gfDIlIwl15CUQlIiSEUqVDIIRSX1NtwPkJIJc gin65ROC7d/1Us9p38Ck9WlhjGOD4YycywbLREp8A9BqAlvA/10J3NJtWRD+TZTmmcNzj+vx E9ftZs+IABBDEpM8pYxELJ889LkHfk3CG5nW4iX6ZXu7XJV3epIbyowOxWJ1ThHoOY3ghzTM w3h3gum2DRUcB2WMVhcUrH5ICxIepCTYSPjHSnSnZxWfxzDXQg8OiHfWPFeWjg0oyzH2oPZb 9k0GJMQUv+NqYuEQgYbiKDbqDpUpmi2FCRNoiziRUraJzfKsRdRpathSAxZlVcfqy0BAq0gu 2DYoiLMQtAdBvZyV40RNr1bpVLv7HCd5YP7S2Xbb/QStOoh1U+UpB6aqMcfkqa6YkbELvY9A VqMsdtLCjHCWy3zGYzjaTTc+WEOpJ7NzHvzNxrQE4Bzg53WSDfDNK4/OglH36tDKQBL6dtju Tj9l5Orn183xO5VbU0oNKuQPffAiFl9DTBM7+VQDglEYS8O+qCbTtIbKuBWTSicgSiTdTf4X L8V0xuPq63U3xo0c6JTQUbR5PC3rHAMsPR11yS8NchR5YyGAynAvRmr4D+SeIDfzwnpHs9P/ ty+bP07b10ZEO0rStYIf3AfSEXCWWJoUfh1cDq/1sRW8wJBg2FAyawVojlI7ZKWZYhngICCh DVTFyCXbbMg4lGmkU16mrNJZmY2RzavzTM86r8oY5WihPJpl6gOW8HFW315r20H1r8jbXJhd M+cpiKCzZU0nntOLX8TsAd+EMW+LPhW/PdhyauR9x3bdbpJo8+39u0x6yXfH0+H9dbM7adMi 85ujsC6m575owO5dUWnoXy//HWimcxod5rlm/kkwLdxaWGPF5jP76sjw5UhSpmjg3FNJU2Dz qNqdJ/KMwQNrHBnsDn8Tpc2CkrnPqBJaB9CCyOiMDqdtDCRBOeFkWneFjfhcPsW6Bc8y2ACg RAcJmdSxqTzXjgkFizP9AUCOAeiagED5grcMrlliv7VozMFGU009OK6CojVly6abt+OuMIMR I5vDRMFZyT2hbVWBSCjPRNpbCovJFz5fWYmGPVnmtiGzVQucTDH96tPwkIQF1mA2owBiSgL7 1h6Hj+Do/w4ty5Na3b7cXl5e2o3qaLu3fTJvu0WM1tF1GbLM3XDK4mDmCUNchhMUqiQNJliG n2bGQ1XInEo8oVBZnqYzKRRYVifN2pAu/9JsgTo91S5DQ1uYKygL1iqvMC4ui6JGKbHNEs5L y5quCRfneB5IdJHv346fL5L9+uf7m2Kfk9XuuykcYHooNKjIczL6tYFHj4VZbASB5irsYj7T YkOjy8GsgGZVsL50mb3MR5UXCfu5krK4TlaY2av8NE3TBvr4Yw31BB1DK1bSAR0XUzj/4BSM clpE6x9HZR8Fp9Pzu0xOqW16Y31ZgosCNhe3OsyJLk6Vbc46Dv5DHBfqXkfdC+ET8Zmb/ef4 tt3hszF04fX9tPl3A39sTus///xTz5uXt1k9McKuZmqv27bPO3cScjBlGdgH72YRoF/MQDvS b6Wa1dvEyXV4K02+WCgMMKl8IY2jnJ0nFiVt2a7QsrGW4oGwKC4cAF7UlF8HNzZYPs6XDfbW xiqu0kjQkuS+j0Te5iu6a6ciLsIZKHAgO8eztrSh2yHVeGsglBIEIxXbHkvO9zj18omkjZPv n2fYu+ji489QfJ4i4j7pLAmHo56iWkXp/7GizUEBljhKmG77dVZrzjApAktzsAyfHNEkTF6G uWP5oA5NYlVp56OhXGjs+KcSNJ5Xp9UFShhrvOzV5NJmHriu2TYCAQUsx277pFcUpyOWyzMf pC5WMdSW0EOON94BBrfzNNOuKhQwUlkFArDr1AyrleKG+kRrdzbhDM/upIOfryQB41scGomI R30F4Fx7voynjs+HbI20D63Hcl+CcsLzSB8ms3f2uMCRolQb4U1GyUAEDB+rXOM0cvl0upZs s/BhoV3FhKZpdeKRtcJVAYrRpNJjEkYNL+MtEvRdwo0gKaViZ1jnstBzOIycUT7vcBnx3V0j xx+0lAxcEPYovrVEwOhyaiUrtuneSaE7jm3Z3OJgj49gfy/QG82855jgTVtQlj4hTY2XvgCM puu3M9XmeEIOhSJCiKHUVt83mr00Zo48D6dKJCl7odsbU/klFawJnk/i5KTZmU1aboC3ILmA /v2tlH/Kh1AK2x2FMbeMJ6gLkLOLSKVy+BUWq+w+42hZ3AiPDbMFZgGt5uuXqEGODvN5c7Ka 9/MCJhPfmnC0cDXbiTxsO19yTrVjDs8O0ABLLCvKwxmU5zk31TETcDUddORH65rv/wDlUpVw t4sBAA== --jRHKVT23PllUwdXP--