From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Spam-Checker-Version: SpamAssassin 3.4.0 (2014-02-07) on aws-us-west-2-korg-lkml-1.web.codeaurora.org X-Spam-Level: X-Spam-Status: No, score=-10.2 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,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 9CD9EC433B4 for ; Fri, 23 Apr 2021 19:16:48 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 7865561207 for ; Fri, 23 Apr 2021 19:16:48 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S243797AbhDWTRY (ORCPT ); Fri, 23 Apr 2021 15:17:24 -0400 Received: from mga01.intel.com ([192.55.52.88]:45339 "EHLO mga01.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S243764AbhDWTRY (ORCPT ); Fri, 23 Apr 2021 15:17:24 -0400 IronPort-SDR: PO2YeaqFQl0IWUO7j16KCGzHPD+lZLcuS5KM8VMFMLzb9WywXhwj2nXke66+MTPeNSBAqlx37P blfHK1EF0xpg== X-IronPort-AV: E=McAfee;i="6200,9189,9963"; a="216808692" X-IronPort-AV: E=Sophos;i="5.82,246,1613462400"; d="gz'50?scan'50,208,50";a="216808692" Received: from orsmga007.jf.intel.com ([10.7.209.58]) by fmsmga101.fm.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 23 Apr 2021 12:16:46 -0700 IronPort-SDR: 28Jvo8blFsh7z/oFv1kY7ujnJ7Ydv5GyIkaQe0NKbirz9S8Pc/duX1H79Lmt50UMOd4chioHMH eAYqIg6Q7ubg== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.82,246,1613462400"; d="gz'50?scan'50,208,50";a="424333938" Received: from lkp-server01.sh.intel.com (HELO a48ff7ddd223) ([10.239.97.150]) by orsmga007.jf.intel.com with ESMTP; 23 Apr 2021 12:16:43 -0700 Received: from kbuild by a48ff7ddd223 with local (Exim 4.92) (envelope-from ) id 1la1IA-0004o6-IY; Fri, 23 Apr 2021 19:16:42 +0000 Date: Sat, 24 Apr 2021 03:15:52 +0800 From: kernel test robot To: Jan Kara , linux-fsdevel@vger.kernel.org Cc: kbuild-all@lists.01.org, Christoph Hellwig , Amir Goldstein , Dave Chinner , Ted Tso , Jan Kara , Jaegeuk Kim , Chao Yu , Chao Yu , linux-f2fs-devel@lists.sourceforge.net Subject: Re: [PATCH 07/12] f2fs: Convert to using invalidate_lock Message-ID: <202104240314.fNrEhl9b-lkp@intel.com> References: <20210423173018.23133-7-jack@suse.cz> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="SUOF0GtieIMvvwua" Content-Disposition: inline In-Reply-To: <20210423173018.23133-7-jack@suse.cz> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-fsdevel@vger.kernel.org --SUOF0GtieIMvvwua Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Jan, I love your patch! Yet something to improve: [auto build test ERROR on ext4/dev] [also build test ERROR on fuse/for-next linus/master v5.12-rc8] [cannot apply to hnaz-linux-mm/master next-20210423] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Jan-Kara/fs-Hole-punch-vs-page-cache-filling-races/20210424-013114 base: https://git.kernel.org/pub/scm/linux/kernel/git/tytso/ext4.git dev config: m68k-randconfig-m031-20210423 (attached as .config) compiler: m68k-linux-gcc (GCC) 9.3.0 reproduce (this is a W=1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/7a9e8e67e7f7d0070294e9f0a3567a3f28985383 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Jan-Kara/fs-Hole-punch-vs-page-cache-filling-races/20210424-013114 git checkout 7a9e8e67e7f7d0070294e9f0a3567a3f28985383 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross W=1 ARCH=m68k If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): fs/f2fs/file.c: In function 'f2fs_release_compress_blocks': >> fs/f2fs/file.c:3567:14: error: 'mapping' undeclared (first use in this function) 3567 | down_write(&mapping->invalidate_lock); | ^~~~~~~ fs/f2fs/file.c:3567:14: note: each undeclared identifier is reported only once for each function it appears in vim +/mapping +3567 fs/f2fs/file.c 3515 3516 static int f2fs_release_compress_blocks(struct file *filp, unsigned long arg) 3517 { 3518 struct inode *inode = file_inode(filp); 3519 struct f2fs_sb_info *sbi = F2FS_I_SB(inode); 3520 pgoff_t page_idx = 0, last_idx; 3521 unsigned int released_blocks = 0; 3522 int ret; 3523 int writecount; 3524 3525 if (!f2fs_sb_has_compression(F2FS_I_SB(inode))) 3526 return -EOPNOTSUPP; 3527 3528 if (!f2fs_compressed_file(inode)) 3529 return -EINVAL; 3530 3531 if (f2fs_readonly(sbi->sb)) 3532 return -EROFS; 3533 3534 ret = mnt_want_write_file(filp); 3535 if (ret) 3536 return ret; 3537 3538 f2fs_balance_fs(F2FS_I_SB(inode), true); 3539 3540 inode_lock(inode); 3541 3542 writecount = atomic_read(&inode->i_writecount); 3543 if ((filp->f_mode & FMODE_WRITE && writecount != 1) || 3544 (!(filp->f_mode & FMODE_WRITE) && writecount)) { 3545 ret = -EBUSY; 3546 goto out; 3547 } 3548 3549 if (IS_IMMUTABLE(inode)) { 3550 ret = -EINVAL; 3551 goto out; 3552 } 3553 3554 ret = filemap_write_and_wait_range(inode->i_mapping, 0, LLONG_MAX); 3555 if (ret) 3556 goto out; 3557 3558 F2FS_I(inode)->i_flags |= F2FS_IMMUTABLE_FL; 3559 f2fs_set_inode_flags(inode); 3560 inode->i_ctime = current_time(inode); 3561 f2fs_mark_inode_dirty_sync(inode, true); 3562 3563 if (!atomic_read(&F2FS_I(inode)->i_compr_blocks)) 3564 goto out; 3565 3566 down_write(&F2FS_I(inode)->i_gc_rwsem[WRITE]); > 3567 down_write(&mapping->invalidate_lock); 3568 3569 last_idx = DIV_ROUND_UP(i_size_read(inode), PAGE_SIZE); 3570 3571 while (page_idx < last_idx) { 3572 struct dnode_of_data dn; 3573 pgoff_t end_offset, count; 3574 3575 set_new_dnode(&dn, inode, NULL, NULL, 0); 3576 ret = f2fs_get_dnode_of_data(&dn, page_idx, LOOKUP_NODE); 3577 if (ret) { 3578 if (ret == -ENOENT) { 3579 page_idx = f2fs_get_next_page_offset(&dn, 3580 page_idx); 3581 ret = 0; 3582 continue; 3583 } 3584 break; 3585 } 3586 3587 end_offset = ADDRS_PER_PAGE(dn.node_page, inode); 3588 count = min(end_offset - dn.ofs_in_node, last_idx - page_idx); 3589 count = round_up(count, F2FS_I(inode)->i_cluster_size); 3590 3591 ret = release_compress_blocks(&dn, count); 3592 3593 f2fs_put_dnode(&dn); 3594 3595 if (ret < 0) 3596 break; 3597 3598 page_idx += count; 3599 released_blocks += ret; 3600 } 3601 3602 up_write(&F2FS_I(inode)->i_gc_rwsem[WRITE]); 3603 up_write(&mapping->invalidate_lock); 3604 out: 3605 inode_unlock(inode); 3606 3607 mnt_drop_write_file(filp); 3608 3609 if (ret >= 0) { 3610 ret = put_user(released_blocks, (u64 __user *)arg); 3611 } else if (released_blocks && 3612 atomic_read(&F2FS_I(inode)->i_compr_blocks)) { 3613 set_sbi_flag(sbi, SBI_NEED_FSCK); 3614 f2fs_warn(sbi, "%s: partial blocks were released i_ino=%lx " 3615 "iblocks=%llu, released=%u, compr_blocks=%u, " 3616 "run fsck to fix.", 3617 __func__, inode->i_ino, inode->i_blocks, 3618 released_blocks, 3619 atomic_read(&F2FS_I(inode)->i_compr_blocks)); 3620 } 3621 3622 return ret; 3623 } 3624 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --SUOF0GtieIMvvwua Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICOIRg2AAAy5jb25maWcAjDxbc9s2s+/9FZx05kz7kFaW7SSeM34AQVBERRI0AcpyXjiq rKSa+jaS3Cb//tsFbwAIOv1mzmm4u7jtLvaGlX/+6eeAvJ6eHzen/Xbz8PA9+Lp72h02p919 8GX/sPv/IBJBLlTAIq5+A+J0//T67ffHD5/+Di5/O5v/Nnt/2F4Ey93hafcQ0OenL/uvrzB8 //z0088/UZHHfFFTWq9YKbnIa8XW6vodDn//gDO9/7rdBr8sKP01uPrt/LfZO2MMlzUgrr93 oMUwz/XV7Hw262lTki96VA9OI5wijKNhCgB1ZPPzi2GG1EDMjC0kRNZEZvVCKDHMYiB4nvKc GSiRS1VWVIlSDlBe3tS3olwCBLjyc7DQPH4IjrvT68vAp7AUS5bXwCaZFcbonKua5aualLBT nnF1fT6HWfols4KnDFgrVbA/Bk/PJ5y4P5qgJO3O9u6dD1yTyjxeWHFghySpMugjFpMqVXoz HnAipMpJxq7f/fL0/LT79d2wP3knV7yg5tZ6XCEkX9fZTcUq5iW4JYom9QjfYivJUh4OOycV aGnHZGB6cHz98/j9eNo9DkxesJyVnGqZyETcGvplYHj+B6MKWWYJMRIZ4V5YnXBWkpImd/4J IxZWixh14udg93QfPH9xNugOoiChJVuxXMnuRGr/uDscfYdSnC5BbxgcSA3r56JOPqN+ZPoc PVMBWMAaIuLUw9RmFI9SZo7RUK+IEr5I6pJJ2EQG+mTTtEcd7dxQgZKxrFCwQO5XgY5gJdIq V6S88+y5pRmO3g2iAsaMwI1cNU9pUf2uNse/gxNsMdjAdo+nzekYbLbb59en0/7pq8NlGFAT qufl+cKYWnKTX/DZX46ISxKmLPKy5j9sQG+0pFUgPZKHE9WAGx/dAsJHzdYgdYMZ0qLQEzkg IpdSD22V0oMagaqI+eCqJJSN9yQVSdNBRQ1MzhgYIbagYcqlsnExyUWlreAIWKeMxNdnH0xM KIQ7gwaBgFJyd305+AG9sKAhStmUpnMGUHcS1VnoFagtqGEOvmz+4VFfvkxgQrg814+DfUZD HIOJ4rG6Pvs4SJfnagnWOWYuzXmjKHL71+7+9WF3CL7sNqfXw+6owe3uPNjedy1KURXSPHfG MurbcJguW3LD9envWtKEGR43JrysbczguWJwzySPbnmkEs8qpaq9c7YrFTySI2AZZcRaowHH oN2fWelZpCWI2IpT5hkJmgDX3edZW4KwiEe70NbeuGmCLnsUUcSgTxhdFgJkiiYUogYjltCn 1r7Z4TR4VOBcxOCmU6Jsnrq4ejX3cVYr/ndTnMAA7dxLg9H6m2QwoRRVCex5Z/j1MqoXn3nh mz2qQ8DMjSsX1ennjFiA9WcHL5zvC/NcAPksVeTTRSHQzuO/LfHRWoClz/hnVseiRI8H/8lI Tn2RhEst4R/DdhKyYnXFo7MPBs9Msfemdbg5YPg5xCel16fJBVMZ2BQUF8RhqZ9Ii9JD0V2t BO5OamyziaYaN2z6A7QY5t5AN70LsjQGRpY+/oREAmOqNDXniSsI5z3ErBCasDsHX+QkNcNw vUUToOOc2FJkwoXPUoq6Khu/O1BGKw67axklvUcDQxaSsuReE7DEYXeZwbMOUhPzID1UcwPv kOIrZqlEt4sBiDqQCXCKUQnEpU0NtzQVxGDEkurIfxBJFrIockOHTrL0bHZhYrShb3OxYnf4 8nx43DxtdwH7Z/cEIQUBF0AxqIBYzPQJ/3FEt8dV1sirCa4aXbOyEaIglVl6GC1TElrGKq1C v+qnIpwYD6IsF6yLrQwtQxyaeQwX6hKuhsimsAkpI4hobMOZVHEMaVRBYHaQIORHYI79ypSR QpPc1lWONpKTFOyFzziBOiiWaaOPCSaPOUxrpRVFKWKedirdSsROEDvS7MOnpeE6IBANUUXy iBNjwi6BSG4ZROZqjAD95GEJzqGNf8YEssrsy1rjWcFBWbkFF4UAFw3MGMCfIYqvI9PSJ5+v z4YAq1goDIUhSluxVF7PTaZWI1UuHjYnVMk+UW6gh+ft7nh8PgTq+8uuieIHBtGUSOlNbKhI o5iXlpPPLuezD34hI2Y3ifo2hTmfxFxcTWEuJ8d8PJvE+Pw6wi+d832amvx89nEKM58c83EK czE528X0mMm9XVycfZs43zez2tJIFEJB1TiVLq0bdES+7Lb7L/ttIF6wKnUcUifw8xDOZ2St tVaASSivz87M64VVHlD0kKuYs9SKNgcsePqIrz5cOOECJRC+1bJIuXIwvJDgi4y5MNNH43Rz fQa5iP5fj9OzWJllA/J7hAYXCjuc1hzJNtu/9k87fWeO3VXqgANv+qkqjKs8IrhYQs5Gl31R AuLDYOuv+wEKPeVQUQOADqxm3y6sU64YFsxs2pZLHelAvGRlztKGGJHtNsT0NkxHAB/OnkQG y1vfcEAI5prJDWiz8zNrM3CiZj9WrCpaoC+AkQTtY00Kbhp8x9KZjjwesrhGtZ//hewN3PTm 6+4RvHTw7Cp2kVlTT9FbpcjNATThtNviUu/vdy8w2Du3ZKqOjYuAJa/6fA5XpBZxXLu6jjVS iH7aQqM77pZAFMELCk63hIiqq1IO5VoldF3ImRQmbMbLglF0qQMeUFXKJEZdOpzFIO1N7IAU WPTkC1nBrHl0PkIQpx7YRjrN2dH4mCqgr7QRJcnRfVxQsXr/5+a4uw/+bgT9cnj+sn+wKk5I VBsK1oUHb411Y4gfSNZItjOM500nr+NcmWE8O3N4aDkZDWrtKcazfqPeUFW5SzHgPWoy0h93 PlnSvow9kUh1lN7aS4tEaUKAI11l6RE62fWs3+PX/vJoS9aEixmH2CSH6IlkTBZYTeIZBlH+ pEWVPAN+gbZG9RITD28lBjTNzuQllRxU+6ZiZtWry/FDufACrUL6UBBQbFFy5a0VtKhanc2G ulWHRpdqxdcdQiWlUAoDXu+ZdWUpi/BVpbEKvoQNiW5D5U7fVli4gMSM5fRueoGOkAr7zcSi ghXq7GZieV3hsSyhCe2Pb4oFpCgKkrq7bp6QIIyn5Z0uTY/D4M3htMfb2jvvIQUET8WVVv5o hbUN782SkZADqZF2x9wCDz7DWdE8R3ZTrziMEfbxAFxagT8CtSdqXmPEUHo03AmM4qIpdEWM RPZjmoFc3oVm7tyBw/jGYmd8U3ei1QTeAq29lcHS5GdG1p63YpEFz7XNov3rHfu2276eNn8+ 7PQTaaCT5pMllpDncabgJpa88AVR2nth/NgSxqCx1kEGsE//Biy+Ca4KfB0s9LshhmaeicDu +DOikkVVW3FouTN1uiZe3D0+H75D2DgdfOCuMmZEXHqbOVZAAGxnizo6rgulvSWE1PL6Sv/P 1O8FVlrQRjoWowsdQRVrCBPCykpOIZus28y8MaNsTdG69+G9fl4oWKkj+aWxXZoyuEcYR5t8 /FwI4QvnPoeVcc1hPpwOpKCM3SxAH1Vji3suTzNy2KBZ3FiGcAIwap0X1NLId6d/nw9/g9c3 xGCwji6ZT31At9eWpq9BUTMHEnFi+AmV4tPE4JhS2RbMPdMjUgnjGq/jMrO/MFS0614aStKF MJmugZM1VI2VVVgXIuXU9yqoKTK+wFqHsxR438FnAashyDJ8XAswxg5losz/kr2OCl3mZ8rn pbklTV405WFKpHXrAd5ZccghIBjz+T4gKvLCmgy+6yihYyCmcIWzAsJLUvrq9nhsXvDCFHUD W5RYLMoqX7W3oahVledmOI2H1IcYve71GHdnPINob3U2cegGO7cfO3KYXSw58zG92dhKcVuw VTTeLMJjYT35taDhaP4YDSVbE9/rlcZYetZBevV/dOZh6G0ULaZXgmQJ4s2p1UYyQKC+yfYe YAkfGDnjAZfk1gdGECiFVKUwrg5ODf9c9Jps8rRHht4CXY+mVWg9NnfwW1jtVgiLcT0ycRg3 wktFC+9ukrswJf4IvCNZsQXx6VhPkK88+8WnACx3evebvrlbSB2Fd9gd82pbj+cpxC2CS892 IqpMIzGwO1p4oGFoBFxdK0MnmX5ffY8DndLbfmjkj/g7PKz3Jr4EjngO3qG7fV+/277+ud++ s1mXRZdO+mdYntVEBbjwaxQoPzZzQUBPM1IubStSqKJuStCx7VD0kCK506UCiBCywnnGApqY p2rC24XFG0iwURH17pXj47kybBB+DSLRtrNOMkKRQ5ZpnaKTCfHXpCdHuJ09Jv14B1NYXNex bM2KlmUqzSItfDQ5iXGPEDalqYjTGZzvfoHlHZbBLwhnYW00muZbCcB1HiccoL1NCJFNZsMn KA337wqRKfGyEFFhOf/w6cI84gAF8b+hNelc+VcMSx4t/M1YK9hJ/Wk2P7uZuKs098acaWpZ Dfj0PV8QRdKlaXRWNSmKlLVgQ9+jyL/19fzSf1ZS+B4Ui0RgZGb6YcYYnu/ywjtPo3aJN82O qFFBiXKJD2Yibd58B96CdIjO1j0ziAISOXnLFU0GXVm1YaU5SwfTauXLijp8KkQRErNC1OTu 5qx+hKdvEA4PvmU5tWhWpNI2hgipF1LYoXYuE6OgK0s33GwYAMKfiOnSc8giJWg1Ksgw002p SvsLgvVoWFpDIEJyIFnC3Q3kVHL/80pTXNB2vvT2JxgUjReIbI6Ua8xU72q7QyK8MT+wi0CV jGRtAcxJ94LT7tj2Jfbp5AjlIMwUcThOQrKSRP5zmC/K8IFBoA0IIWV8NAELh+CPs6vzK5uE S6F9UZOmkjyIdv/st7sgOuz/6XoSDPIVkvifuQC5fgsr07ewjm45OCzhNdmtv5nVs/Fedsqo hGIXBIvMjg+Qf4zXyjIIHbBWypfE4jQ5K6xZEFBntG6MuzObRhalUKJ+K55QdcIjX8iAGGkt Z3cCa0Dkz4awYipjbPKfQrd90P51JUvjvlIyBteMRr7Y1ySRdv8MoGJGVKXzV8eza3ULH153 p+fn01/BfSPS+14XDZaaug7fN5RY3wnlFT4ZemCws9IyUwYqufCCcwh6vPPDPqR7ug5FVHK+ nJR0SzTxPmJQnN/y0u/5DSIs/f9wJuDZj0hK5SupGQTI54njLj6s1z+aPytX0wtEKj1zmRyq czqCpRWjpIxc+Ar+z4LhaqYnQZBa4ka8VmRS8fpgKAZvUZpRZwdpf50Azl1aUUGPH6n6EOKu l97HNxi6NGuArgPqJ0D9SJn0X/8yXnJvqyK6viun4nZVdO8ILriN2W2g01JLCY9N58LjnsIw 5wCF4dPmHvCV9AWGlBVJ3TyJDeQtDLv2wFZPZQo9Gb4yO2Fgd6TYiobhE2KqBYcw18c7wOaU W6MRUNsmB6GWSiJAJpEOvNv4YXMI4v3uAXv6Hh9fn/Zb3SkR/AKkv7ZqaDlhnAJlVJEUV/RH xEATex0JYor88uLC3pMG1XxOR+Dzc5crGoi009OfzxtGOCMzTkuh2/Sd0TYV3NnavaIm/9T8 DP5LHK620PYQ1oxSadlMbzlfFx5xNkA9oYWQ5/FtmV+OVmnAbyzTUHyad1piRIT/SQuMdwRJ II73pZ+6IBkz40cLt24FsoPY7dIRcKl7YmlBEDfDzUndDEJ3zmfmk3VMeCrwNvWrMpUoIdIu PenUfRRbdueh2pwPjzY0o9zyMw1EdzLUlI9bNwr6frs53Ad/Hvb3X4fGHN1wsd+2K3p7qpqO kISlhbe2D4ZKZUVsGfUOVmfYR+KroyiSRyS12mTAQumVYl5mtwSCH/2bvo4z8f7w+O/msAse njf3u4PxdnerD22aqh6kn+Ii/L2J8X68ViXpFzF+FjiMwueb9sDmqbwEINs0xWzVe1+HIV3L hdevuocz3KNuwcCiQvfuOVHD0AmA7tb2yqjND0rmyAnhOgZtxoLdz0BR/XVlJCPyLqcdMQTs oe+O9T25RdUlJUaBiy2s99Tm27YiLUwWmeEbWmCWma/43ejyxripGcHKW9lIPraFiMiY5ZQ1 v4zyimPiUjSx9+vR8DrtpJCP68dcw+K1IF9Y0wVTxky9HxZgeLCv0JxqkUtf7pEp600BPrWI PFe/b4x42RyOdiuDwq60j7qhQrqzGS0tE80+SAVs1r9m8VCNGjO69fW2KvhnkD1jS0PTtK8O m6fjQ2PY08330UbDdAnaNNqm7iaa3J7G1qWvXhCr1PZR3tCe5w5dGUe1n1TKODIiBJm5S+CG hCimmdk3toDuNvWikTRLkv1eiuz3+GFz/CvY/rV/Gad/Wnoxd5f+g0WMTl1aJICL21zqkSrE HMt/+vdGIp/QRuyTwN/GLWv947jaKH17sPM3sRc2FtfnZx7Y3APDTA9/sv/oYkgGTjwaw8Eb kTG0Ujy1ocB6ByAcAAkluDAzdHlDXG0388sLVrpaILauNFSbLTaDOzIVGNWskVn4EiPtwxfJ nUTT6siuBbe9n9Oq15ItCi5A1pHPj2i6JvR4HMNqkov8Dly+u6+UqIZ1QyvJD07d/Ch09/Dl /fb56bTZP+3uA5hqst6By8i0W8Q6FfZ6T6irilyJwnetBOQ0zY/pLmZXHxwsK3V/KWLP5p9s 8wSWZt5Y5SaY2x//fi+e3lM82HTVEMdGgi7Ovcbzx0xo8iSIp2x2IEQHDbaowLQgZmSVGnDz e5+7+rbkaspIdKTd76snZhLKl1+ZFPM1GpsFyuC7fc1u63aPjcXb/Ps7eI7Nw8PuQR80+NJc JuDK4fnhwcNPPX+25r5Mo8ejpru71whUWPzd5VuDCegBybstZvvj1sN+/H+SOzZCYyIulyKn CS/eRDbW2OxL+A+0ke4JnnkONiLGv4MwaRHcIWGoRnrRNBdSCur6FX+UcXx9eXk+nDy8YOaf RTGhtbzFqn5m/WWCCQJsZTKjOZcspIn3Fvl22CeXeHX0OdICzd7/Nf+dQ8qUBY9Nz5vX4Ggy W3w3EC0Iw4W2S/x4YnOSKuT2rACob1PsQsY/lgE5kWOXNEHIwvYPrcwd0SM2hmACrPukrJFm kVYs5BNKr5doO0qtkckdZEEQ6XqnFrEXDGEOdkf66pxNx7VRY25bsPMqTfFjGlN3f+xl9FdQ aGT9nKYbiO+M4yZwhNaga+2f4fhkFEdbiuatHOlGNyEqQ7DP+yO2okKuvdtuXo+7APSB1rEM wMlhD0A75GG3Pe3ujZp9d57Qss4d2PFjQ4UPD1cXS0Wjlf9HDPg7Tqw+YNHB9+7avKGG9nN1 v2zo/f16h8XN+kYBHLsDmDf7t6gglW4qI40fW2UskK4RQajjyzRIdyRCUJNYlTTEJLeZ3ZRu ImMSguOSzmRu10VD6q1VIUaRcsGUM0cDBP2WEm6r8XdDTKytdybGKSIbmJj64dgcZRbKTPb1 nmmcsEKUKkUpwWDI83Q1m1saR6LL+eW6jgrvb+miKsvudMJtdiBQeXU+lxczXyMkZNupkPic hbLW1YDheaCI5NWn2ZykVmGCy3R+NZude/W5Qc5nvgysPZcCksvLmfE20CLC5OzjR+OnHx1c 7+Nq9j/Orqw5bhxJ/xVF7MPMRHSPeR8P+8ACWVVsE1U0wSpRfqmottVjxciS1pJjPf9+kQAP HAkqYh98VH5J3EcikZlQbIz3lCRhHKi1LJmfZAFaJoaLmQN4SQ8XVm4rpQNJAKvfpNmqqhYc Aa2dU9L57A0UZfRIbKpdQe7UFhsBWgxJluL2JCNLHpIhwbpJwvz4dcnyfVuxwcq2qnzPi9QB ZxRehny6/3V9vamfXt9+/PwuXPJfv11/8PXwDQ74wHfzCDsxXye/PLzAf9VwRRfd6Pz/kRg2 yE21dwGXzAWc/FrsJF+RvaJkgmAqlVoobVLNA0b4yZaKRlP+GL3C7698J3i950eA5y+iJkLR 8eHh6z38+eeP1zdxCvp2//jy4eHpr+eb56cbnoCUEJSpy2mworc1tu4CyDiKzxsO7vAtQvme 4B5bC17aO6kgw9lhcwQvxa7TIskpXLzcmm4BigRxisCtSVepSAccXn84FnLCNMQ+/PnzX389 /NLvfKYcMMFdHiXBOmY8N1kTTfie0aO2kXVFzWX8vu+w1oAPVKs/CJslvIiWvMZMbt7+83J/ 83c+OP/9283b9eX+txtS/s5nzD/sfZ9pizDZd5K6toEy1SN7+kAx2ZtpZG+Ud16T1TwFQiAa YHFAXQIEQ3Pc7TRZXVAZ2KEI7bDWDv00S7X+kl+0td3COsuWrPYB3wngb8FiFgdiHQr6d4ve 1Bv+j1VxgCAkIJhjuDJkXTtntxzRjYoa6TbHWxE5wpVmafZNueeCQEFs6r7lZxybXFFiVYaT i+ZkrANqeY3JoEmL2BEAmfWqoRrlxyEu2xadRoJZ5FkU36bYTFGcaLRF1FNP7KUU+lEbJHlZ p0rSYxQCp6HByDDODLdd7cgn70K6alezvjMipExtVFJxjdXXKKYJF9SZn0hkqysrJvZRwU2L Q7HjIj78wJ3OIJEazqY1Oyr2hJzcgisy6+HuTQT6UrEThAat26rUqOIEpFHYoWhFIEe9iP2+ Fhrlcw1OYM6CTV1lUPhM/KRRhfrBZq42TP/d6ZUg4qJRpdAa9iiNBIHp4F5PuDhrCAxHjfC5 6o56csrgRKiXT40DYL0D2DuR+qhXTsbDMUbGyeEiDD0qblld6LYpPlbYdOIY6Ab7Oy1zSZq0 ht3x2O8LtgevdfU6bmIDIVglz1bDagmgH0Q/Y6t+SRX3bq1LhO/yYusuT0fkqEfO6Qn/3n1f BPC2birUuhTAVuz8SrxDaag8nQW1AwyswpKOW3IIEx/TXnM54WlHx0sLp/PvJmW2HpLC0tPL zzenkFMf2pNuNA4EyypSA7dbcH8Fy6klb4kwYWT10bhtkBgt+IoxfDS0TfOV3yOEC32A6Fx/ XQ3TnfH7IwQPQC2pJcMfxztQEVkZV2eX0dSEY8aUstnc6nn5LZ8Um2PRYboQpdSabgwIfMTg 50WJ8uWmRu2nJEzuila9aTnKGCBglKyfZnTEYWFjMDGquR9L9MyGYSgKO23QlTvT5Ptg0fY1 YbqF1NxbDILQLllNlAvfs/hsVzNboBA/qCwMJVZHBa7RdMlx0+Gno5lltw2wOHAL3unephpw cRhoLExcGmgqiqpWZiZY47qC9Gg2jJ+KbutDiVp6zFw9Va+il5RFwBMncAnCAM30FgIROkLL zUyUiyBNU2B6t6X0sL0euw1eNQA3rpAoCxv41b9T/du65D+Qin7eV4f9qUCQgsWe76MFgyXn hB4LZpYtq4tkY45+ETlOcaOWv8eJz1uVHGlkr2T98UT2jHRVhfsDjEsOHiCho3VkKEsFSZub gsKXAIOy9ZQYQhNFlPZocAblqF8x+X3fogQmJfQsSmRRNPM2SdMdnHQonvbB/fXHV2FMVX84 3kxHz+lspNdE/IS/hT7OIPNjIl+9TSr4lBikUZckmZdjmMA4EUQ3VFUpvu3IBclFXMIbCZ4E hJlbFbTSKzBRLgcWxxlCbzQlHtZic+ARTKqQ++O364/rF76P2+rlvtd0k2dcBIKYDXl2afs7 XAUglZwWPqElH/4i0vAYlWG0GfjxcH207+vGCccPqM0dUQ9qI5AFsWf23khWAxO77V/UD/wk jr3ici446aA7walsW1jm0ZCjauZ6aGgVQjV1KgOtDhdKNvrgmsBDJ8xs2X9HGNpBqHhazSxo AUR0jxKPIapW4VaL06RDrkbv+iDLBktaOzw//Q44p4iOFko2W6MnE4LCN7UaR8MAhLLr2Kww zK3kGxxED3u9EJU0zYpRgl+HjjAj5DCgqqcJ95OapcOAtNmMOYS/kW1cqv7oi91ogL6Kr9TF wXnZ3MHl11o1xy8dFuwTU0esYQtrJe8PEXvM6o8tay5Na1rVW+BUzrUCCu76sG2qYb2QML8+ +2GsrqXGAmR+QfqusQxPRvAgNa8lfsw4XHZMc8IT996G/91ylBVh/1l9wNaX/ZlYkZ3HMojA auq5QKGLsvMMx8urJS9+tJcBu923y9ZEq1taX2QwcEUPI6igxTdCzkt6caiJDFCIIqCp0sMT CFAes6VMvS3Q8D+CTz3ZSwJT3XUESTztUh53ZomPt1V33OrcGyvnBd7fWtGeZ5IMClsfISCV MkgWfFNEIR7OYOGRzY71/cwy1O1easpGBwGw4bv54t7VQd0pfKmJHj27gGvrwwVinuIWCjND hDNwSTeIDM+4yXbYVSpFZ1SdeVPhCq3q/NGFiQgxLoP5nvA/LUU6TJA1lRJcWoqT74V0MXYp rbJAnDFFGahCfMWpD5XQzaKpH07nY48aNQDXmZcLNK3DHfY968PwcxtEtmPR5B9sN/DcTrLa 3Yn1IjjT7G0h1Sc8QVvZpBrzQ9mF7gRso7TZCU1mGaWqoIh5ftaToqdhypv+fHx7eHm8/8WL DeUQhpZYYeAjueoa2QO96UkUetiN+MTRkiKPI98qxwj8soGu2tlE2gykbUp1t1itgfr96Gyi P3q1qHG+qyQISbZRIzhPxJbMsx0ym8V+8ERYmm3pVvEazM2f4Kcw2un+/fvz69vjf27uv/95 //Xr/debDyPX71wug5vaf2iqM+hDcIJwaI8ALyt4akH4++hnVgNkTaE+W2Cg08Wv/nlFKz32 FhBXylLTQc/hY0Vlhym0IxST6Xy8YdUiaPmxmvYV7s0HsLQQsU0qf/G5+MQFCc7zgfcx74Pr 1+uLmKDm2QaS6Ysj41sjnfr3+PZNDqnxY6UT1RgMzmGgDbH+tNHbYOoMvaJAHC1FHA0sWcBL 5XQwB6i8zTI19gsCA9jZiuNVmGmFqNTSvuisQ7xXWIvZQOq+SHum/9AWOKmFYLVhoLyQHx/A kGXpQEgA1rolybZl2g9d088JUyLKvF2sKzm/tL27fBSyBG6DuXCJozRSZ4VlFFnn7McXF59/ WCtH27e8cM9f/m2vxBBnyo+zTEaPn5KrnkTgznZ/x4+J4jExV+Spm7dnYUHDxzafDV+FTxGf IiK313+68gGLpixow1BpUYuBaO4Jdh3mL+sDiMGK12J9kDuSwsD/txAmZzgLkGN2SXDpGUni InDuJfj1wcRCSRuEzMuwzhtZ2ODH3rxldrzfXq+vNy8PT1/efjxia4KLxUyYghhQ6DUHOmFR 2vixAwhdQO65AEV9OMaghacKuDjCxRKhKFMMKOC3pm0YCcIAWtyfShvp2A9Mjrr7JOzxLf9I c8eYYZG5ePHIDRP8Jktg1gt1gkqLIQ29YZoeY9TV79eXF77firJ8tW+pxJflLR4xSs1s2aeM XDdZwlLF5E9Sq8NnP0gNKquPmg5CugyBMYbD/H6lDrO0Iaj3v174AqDtbqM/Uhvz+WqWTrSU h1EDsyZCVAvtYo906H1XywmW1MymJdssthqsb2sSZL6n2gchtZM9uy3tWhs9ypeAGIs6tqBa BDxBllKL66OmDfMotD5q2iwNsVCpY5vqc122QNHQghnEvmVJnCWDlUH/iQ4ZJmVL9LZJ+PHQ SOyWZqE/IMTYs9Ln5DyP8OFnN7Ro6fPDj7effAMxJpU28HY7LsvDq0pWhpRvHacWzRBNeEr3 1leTuvVBN2LJf/7v//swimT0+vqmFYx/MsUSY0GUBUZyM+bfYnLYwjEeiCw622nPfCBFUYvI Hq+afSpPZxTz9pW6ysx0pkXanslQFy92AcrUNwDxrqUeLk7j8EN1zusfY8NR4whCo3FnKPPi 9z4OPWfOIWYnr3O4ix2GF9Jh8prOleENEnuDK+U0w9QXOoePp5pVXuRC/FSVrfRhM+/4oEGD qDPqZalCvNA+CYMQx+AVSk2bLUF2attGu4hS6U5rO41J+JFoSZSF5MBWsnGLLUoCMRP5XFIu oPm2lOVBLD9WRrNY4i4wgE+aWcEIuPKSq+Cc2qLxgSgN1keKWTGYJHViQ/USXIs4Fv1CbgPP x10JJhYYEgmu1FNZ0HGlMahhrVS6IvtNdKZa+0310YiTMaRGnD7ffArSYRicgH5PboL7UvN7 MeGyv5z4COGdAEZaa5UWG7si2A5t4A12dwKdn1O2p6q57IrTDn/nUqbJR5ifwiaKFHDE8NOE xhT4mBQwtTOXevi40YMeTZgY4brPjsEBQoYqTU5080JkSVF05FqKfZjEPlYaUOv5SYBZVykF 9qM4RQoEMmSa5CFWKN7XkR/jgdw0ntyhDld4ghh/gE7lSUN8Dio8sVEehCNTz1cqkGce1nwA ucLVzZOObsIIr8A0pMSYhb4I8gjb8ya+ro+9EG3urs+j+J0WKPM8R21DpuVb/Xk5qwFOJWlU Psnjn7xovr5xsQ0zJBgdxso08jXTHQ3J0AIvLNT3Aqw9dA41trQGJPolpwrhDzZqPKj0oXL4 fE7gGeRBtOZ3V5R9OviI3x0AkRvw8ew4lGCnH40j9Zwfp5iMNnPs5SNQ9qcsTB0XVTMHSZP1 /hvA5xqciA99d2yQerO2Uh36Z3o/tMpmOJEJ/wteJYfwLW60ZSesQiVLgvUKgWfjan3kfgWS jV3k+Rhq0Lepz6XkLQ5kwXaH9ds2jcM0xi1bJMeuif2MUayiHAo8ht/3zTxcYMEtQBUOh5Pn yLCv94kfrrdovaFFhUkACkNbDXZf1qDQEsuWDfVZalP/IFFgtzGXJDo/CNABLjx1UFFi5hAL dox+LKDUaWeicOWIo60EAhTg26pv1wSAwHeVJQqC9c4SPNHaQiA4EmRtkgC6NoHoEKQriQJD 4iWx6+PEz9/7OsnsVgIgT+2icnropyFSCfAI5nPbAYS5A8DGlABipFMFkCNjUxYrR0chJW1o bIIWT08SR1D7maNlQZg5TjJzVl3KFwbcm3zubJq8x5C+y7A6zCi+q3I6pr9f4AyfxPwAuP4Z OvY4fW3YNhSdtBSdsTQPUWocCHNeJG8OoWKgzoHsJS3J0jBBGwKgaHUuHnoitVE1M0LrzRyk 59NtrT2BI03RVYhD/IS7JqccWkLBbg+p1jaLc2W/b6lhfTXy4WSQ1YIksTtBAKK0BrDh58h2 W2HV4BvShWy37dreWx9Ye+rgneOWYT1cd2EcrAoSnCPz1IenF6BlceQhsk/NmiTzQ2TVa2jA T6MJunIHeZqhg1BCYKJxakCx+97uEWb+2rQeF3qkRnIR91z7R+Cl4ZosLVmwHVGuqhnSvYBE UYQv0VmSZUhiLW8OdKloaZImUY8dv2eWoeI7GTotP8UR+8P3smJ9e+brd+RFwdrs4SxxmKTI TnUiZe55qPwPUOCtte9QthWXkOxUPze8SkgTsk2v+f1PZH6OQLqCk7Fdl5PDXyiZ+KjsTiu+ r6+tbhUlfuQhKzEHAt8BJKDbQ4pBGYlSig7ZCcvX+koybUJMGGB9z9DxzCjlcgW2ihE/yMrM R4ZtUbI0CzCAVy4L0LasD0XgrYldwGCaV89IuL6w9SSN7Cr0e0qwODQ9bflZ3UEPHXSktpwu 10x7YnHkPemKtrG/LtOcez/w11O5zcI0DTFNusqR+aXdOgDkTiAosWEooPVCC5a1NZszNHz9 7JEtVULJYYcWKgnS/dZRKo5V++1artNtpv21UOajdRJyS4E7xE3WyFieDN4YZazeGNb76MsB G0ILlB0A625SGC3+9fPpi4jU6wzJuS0tay6ggXbFMaJaKi5P2jhGgzuJr4s+yFLPcL8AhBc1 zj199gp6mcepT28xKwyRotC8K5cHM02/CQC6eQ2+0HSTV1F30wxmJoax2SaCnGEjdkZV9e1C 1O5+RfOBMga9x59R9doBUhpVO1YFTLXOREsCvVEELTSrxKm+Y0iLViN+ODi9VQRHGySB8hYT 3yAhrlpNlNURaDyFtin1YtafWBIYfTrachrFzLKWn69co02isTmkBDnxsFaWI2K8VjDGyXil YFOzyGo+eZeCbfszGljDSJBzXCG/4LhqWuB9EiautgAwT82moNVhG/gb6urFrupPeo2VG6Rp ZI4UXbs4U3UzBZGodVkgqCTuY/QMByirCLJosDpKkwEDaKweRWYSUhr28S7j/a3MimIzxJ5n rX7FJvRHsquQd4zo181A7SFydRjGw6VnBPd7BzbbsEdSszTD9Atjyg01+2ey6lm2oJZxgRi9 YRLWPp6q15eUdLAqIeiZ49XSmSF3DT8oqjBR0jsFMzea6bnvXoBGhmBlBeIsfGkINWG4v224 rO3sxNGMCRlQtw0/kIfojtjQMA5d41aaTZljvejqz8dD4XwnRuRIs8i5spmWVQvN3ghmgyuL hvLmuerLLSx+2sm2X3d8cMkQ88fTEV1tsZm49mLUzLOth6q8nI9Njyu8F87pzSAOsBNVTTQW njk+0CoX3x52MCQRqCB9liXKpqpAZRzmGYpImQeFDOFlQRRxyG64SQrAGlXs+qstZQoBGhKo sbwMxMeQbXGIw1g3Y1xQh7fGwlCzJg+9GEsZ9EZB6hdYw/E5l4QDivBlNPWdSIAjWRo4UsvS WBMgFKwnYZxh51GdJ0kTPIFJ0HhnDgBbjJpeajxZEuVYMwooQXt1kUNwSA+fqoFCFnqvSFw0 ChI04zbL4tyROBdUfOykbrCgY2Y0M3MgIpaCI8scE9YWlnFbRRIG8+IoRtvXlpUU7JxlXoKu CgLK8BQBytGvPpEjtZ/cUcETP1SejXduFpauYO2m6rq7tlYDmEC8xPqAeykrH/dR5uGnQpUJ 5L7VZu56eg48fC1hAW2LdzMBLuY4oCpcMc3SZL3LFcEQS6HZxb6HbtALE6g+/SREF1uQYIIQ n5hSmNKtV000xQQ6g8l3Z21KXRoq5KZ3mlCKG6tlGCUPpASjnOEaqU2xqTdqcBtiRsQhFyN4 WVOjNrUdOJeRIz/j6wGqu8uhmiHkO87ADyQTw5KxoCcKXU3yj/M7SbLj4c7xLSsOd8d3vt4X Xev4nHKh5uOmXE9goC1ao1raUGHpdoRSLNFlQBDs4eIRJNapDSiHY19vazV6AVDbWjs5jSQZ jRheBcAk4aqsC8EJ5r5GWAOR9z4N0bsJAI2joEhrSuc7SkYeP57wTdmdhXsvq5qKaB7RoxvQ 14frJChDVGH9zRNZkYKKoNYyM/xgIBhl4LVLf8Z4Nc7xiU+F1ayxeI3bBbKyw5pWgpMn0ruF kI8kK8nMbkVWm0wfnuuyOl5kmEC9jaRBVqOOnvK8mZaH0S/k6/1z1Dw8/fw1v0D+X3rK56hR VsaFpp+IFDr0cMV7uK1NGN7VMh6KlYA8u9D6IDbXw071OhZp0ooG/I9eTYFsGwjD2VSlfNHd RG8PfDqqxzGsxsqwWxxZlfYwB9/csNCe7sm2sHXVp5N4U1C0iRomnX8puvTb9U04e94/yQc1 rNJ09//z8/717aaQPrvV0FZdTasDH7KqS6OzFuM7Tf96eLs+3vRnrHYwOKjr6RQADxX6TAJ8 Vgy8d4u2h83DT1SovDsUoJAVvau/yQhoBfECmHzHRDyZDGFRnSU4NWhU47HySPXUFWXW28u2 mB7kenh8u4cw+9fXm+mpkhveG3/bCuDmu/rx39T2kuvBVG2kZcTg3py2gbElL3Rkcgk6H+tH 1TFa+YLCQ5kEnZF9u9PGv/reJbPmak3tVGo+zWwibGlaFE7oCjVttDf0Vlc64vr05eHx8Yo+ NiQX7b4v1Djushyw+4prCpFU8fPrwzNfEb88g5fbbzcvP57hPTVw0wbH6u8Pv7SEZRL9uTiV ugH+CJRFGoX4/f3MkWeoRfCIV0US+TFB0gYEveaROGVtGHme/SFhYYg6PE9wHEax2VtAbcKg +D/SnmW5cRzJ+36FThvVsdtbfIrUYQ4USUkskyJNULJcF4XaVrsUbUsOSZ7p6q/fBMAHHgm5 J+ZSZWUmnkwkgEQ+kH7ka9exoix23OmNga6SyHY97CTA8XAeVayDBriLXfFbLqqcgBTVRu0v O+dNm9mW43ru+Xvfl3t6J6QnVL84iaIxd6cdvL5F8mEXNFYBuxY179VHzBHYLW3Ajy0PLwgI erS6WTj0HLwwINTCCtW0CW3cPr7H+7iGusePMT0Kx94RS/KVbhk5D8cwsLGGgI8Q2KK2TARv EE6l2iJYj+bFtq5829N4iYF9rR0AB5aFTGXz4IQW5kzRoScT0ahEgI4xqD7CdbVxuWWywGeU fXcSdyNMG9gBMjHxxvFDNbSUeLBBGXt/7JtR6mMNoQaFAj7UZAxj/MC0IlDT0AHvetqUMvAE BftymFoJ8cn6mbjhZIoUvgtD9DLefsgFCZ1WGksz28+iMLOHNxBL/9zTHDc8e4s+xasqGXuW a2OpJkSK0NWb1Ksftr6vnOTpBDQgF+nbQtcDTQAGvrMgmnA11sDDiyb16Ppx3J/VaulFhxrs 2YEcDVCh71Ny7WGrP+5PHxeW8Eevr5/2wNUXW+E7wURbVpK1QjtMGiS4ypJ2mQvZiwzt80HC YVrp1TAgFafc1FbLIZdb/HG5nt4Of+3p0ZPNgnamYfQ0RFKVyzmHBSycMWwW8tN8n+0JQwd/ QFSpxLgNeluBbcROwjAwdjSN/MBgia7ToW/7AlXRONLzjYqTjaE1LPqeKBNxy2FTFTbqJSYS 3Te2JWVuEXCb2LGc0ITzLctYzrMs88g2ORT18XArOmFwSwfSEsaeR0KDa4BESBf3GDXR0fjH Dk0DmMWWZdAta2TYYVMjcm/xse3g2NQzzv8shr3UgCvCsCZjKKqpt9pGV9HEko0R5VXu2P5n XJ81E9s1cH0NW5ChafjermXXMxx7X9iJDbPlGeaD4aeWktoOE1+iXLvsR1TRMTufjlco0l+h 2dP25QoHmt35efTlsruCsD1c97+MfhdIpVsjaaZWOMGuCS1WNkjmwLU1sf5EgLZOOYZzpk4K UFsG0mUjW9AxaBgmxLXlRYIN9YkF8vqf0XV/hr3zSgPh3hh0Um+wgLHsFt2K4dhJEqXbGV2F Sq+XYegFDgZ0u70IQL+Sv/cx4Djp2QbLkR7v4BKDtdy46NqluO85fEh3rM4wB+M3EzZqf2Hj l+XuqzticKSOaRRJ2tPe4DTGKlihCfpS1X6skB/UlC9oWeFYg4bUoU4CrlNib2RXe0bbyoNE fSRDqPgnw7a8oVWNrUFc0WV1+zvb+HVwwOOP7wOfGD8aMLK4vbMeEdg0tdmHtYc/EzJmm4bj yNYYik9/YGsrlq6DZvTFuELFHlZhGOi8QKHYRaEdshPoTMfBpjXBmNtVli8Ih0StJh97QYgd SoYRe9pXXm6a8S0GgtWKBtjqlqXra5yZZFP6RQpMyS3iNeUgIAKKMJej6EqZiWw6sVTp3442 VFuIZhPLuA7SGN1F3HGgf7DEgc0Wf7DrCTwbfSek+LrJndBVGuNABxHoiuz6ntiwm1MteJmI Ajxutxgjy1JREjroXMkeIQLcNFtcUga9ZrUh0PzydL7+GEVv+/PhaXf8enc673fHUTOspq8x 2wOTZm3sJHAkXKWVpV/Wvu3YWh8p2HZN/DmNC9dXt/t8njSua2kLoYVjJ1gBPY7U2uDz6EKA LlnUk4Yx4Sr0HeUzc9gW5gWFr71cYQvaAnI8GTNHVB40kCS3ZZnc5QnqvdOusFBbYUywOhaR WpNPEP/9eRdEdoup0R12SvHcPthj91YjVDg6HV9/tufPr1WeqwOrcizEzbA3wuhgJ1DXxICa 9Io4ksbdG1kXBZylJGZnJ3kwIJ7dyebxm8Zky+nCMbIYRU6QIpXBT6lHmxYAtfDzZPv8Hmz8 3ByrSXWqOzAf6vI5Cee5efEAVt3No2YKJ2dVCILUGY/9P7Uubxzf8vHsde0ZvIbTwY2NjIp+ 1zyARVmviIvp21hhEpeNk8pdXaR5uuwfxePT2xtNSd1l7ht9SZe+5Tj2L+LDKhKatNsvLPOx s5L0U6b7Fau0OZ1eLzQQMHDo/vX0Pjru/3XjjsGS1c+UdB/SU5z+7sYqmZ937z8OTxc9inFS SwkA4Oc2qUCQbbp49fg3qLuErSTNZ/SZEJsMILorSBvtXeIRwMyYBUFaUEOnrMQzg1E6GqB/ C9fbZDvL6oLGRzc0Bd2OpZScAJunxZYsqFVB2wkhzn+r7B21acol/aBQBQ/dD0cZ7KmkIyBZ bo8FA64OvtxUTM82CTc3kL6kir7VN75514WQzmJQ+Apgsan1PC3kxtfwVWRIFS3TvJuc5HB5 f939HFW74/5VakLBiDVM6yyZp/Lss1oHjFT5sPKm58Pzy16bd27Vk23gj00QqrG7lA7pten9 KGsa+5sx2/Z+ldV3pOvT7Lx7249++/j9d5joRE0UMoMFXyQ0yoy4UGZTtENoVayR6e7pj9fD y48r7LR5nBhTmwKOm7m0hmTDh6IYPTUAjbWYZ/NFYyg14O+axJHP/wPOGJp3IOnMo5GamZXi Qy7mrB2QrXMGgokSuH6JJp8KSr6vDcjOkBiVGUId3NPgEypmO4/J8oFE94kacGqwP6Hite9Y QY6lwBqIpgnc2gN0Bup4Ey+XGKp1QxGFxifc1dWxSAopGq62LwwDIeVqKYVd5hH/s0Rn2YWY URp+DMEtmzpdzpuFuHAAX0cPyKSstGq6iOLdie59/0SPkLQPyM5MS0Rek8pRu0VkXK82cgsM tJ0JUb0YtOIPOCJoVadRrowyze+ypQyLF9RmXIVl8EsFlqt5JG2KFFpEcZTnWMZqVoapedUy 8WNVpwSzTaJYmOx5uawzksobcAeFwRtKprB1syRQUmvUnhPNiMGQ3+/SR/UbFtOsVj/sTJRg DJKDeC5lY3wKX2frKE+wFBYUC60x23y5rrvHVK3mIcqbEluJvI30gZTLLFa69FizzUKGZnGU aNVnDXYooZhv0VRM305BzUO2XERLtY67dEkyWCyGoxAlyWNT/FyGTZVZhvNuuS4VGGypdImo rXdw+qPCrQN7khme94/i61UxzdMqSpxbVPOJZ93CPyzSNCcmCr5O5lnM0jXfIMmbGk0wxbGP zKpUnYc65UvDVCyL65KUs0ZbuCVNi4bmmmdomvAeYdVlk6k1lTWeRpPi4CBDIyjAWpHUiQLY vJyrtInyx+VGba8C4UR3DEOpPKIWrrA4iNxzQDySRlkgAlATqlWdwQlCbZ1EmXm4JCrIajnX ytBYk7khGSDFN2mkiBcAAUfBZpJqEgZaqPKVSXzWUp4cKhWoF1BEMmFR9yBtzKSI6uZb+Ugb ENsV4bfYvMnWeK4OhiwrkqZ4YnGGX4A4waNHcjTNgcaD5BuJVnSv3lYEP2oxyZplRWkUf5ts WZTqjH9P6/LGlH9/TGBbVuUuDy6yXYjJmwR4m0CF/1IbjPIKN1/FThRDQjHpqCMnmRJRfd5h Adifach0Wy7ibJtnTZOn23QJG7jk2EEpbro44MEIYHNu09ALr9McphtPC5lXyPXw9Admk9uW XS1JNEtpDPpVIfp8k6out1OW6EhsknDYzcYWp8t1FA9KlURtfJk+0M1LsF6mv1Rb/wG27SS3 jmFyFuSZzAOMAK6hcHZewkmJpj+MF9QFQT/fAqk+O6x8RNyx50davczfHb9kDHjsZtVhx7IF aA+2bDxeNSPgnp1mPE8EY2y2vbVITdKACx4CFO89LdBXItMMTaJxFXr02NWLtX76dNtARUJP JBp9MmDr+K1WiIbCkzghcUJLL9fEEfUjNM9pk8f+xN4YR0i/NNOFKpzE1M6/vR6Of3yxfxnB gh/V8ynDQ0UfNIMLJohGXwYh/ovCi1O6+xXKdBT5hiZqVIdFvfxNPeYRM2jaykLO1NkzoRNg trMMTeaFa3u9vn32urv8YIavzen89OPGSqqb0Gf+yv08NefDy4tyneMdhEU7V5wP+lJTOqXY zEhhSuI4pZGgMpDA2OmM5SnNptFSOlENUDZ/NCzSzbLbKElqmqZ4KeZSxNBbjpzhdDRsg5ok naab3ZIMuzILJUldGQYAGHxrEWgynEkEirqpxcScMqLNq2fGQ/VrWQVcNzGX2ZhWlUahYk6U gj6xh6nuZQJmLSUWBISuzaOTmS7nXJsnwPqAGbAxLOGsOIylzfBdkDn9MMIQmzTfZgAbS+b/ PAUmnGKW99S/tEoK7JmCacwWtPS2mBeSO+GAwqbmgfZWdSNtoVJotNlWbbqflLhP2TgsE5oO edtstkqZQWNQRKqav6tvuprpjoWsvlkmZaN/YFDpuYGVhtvTOuV+sLhnfUtmDpHSEnSPEbhJ ZUu0SCPDcVAZS88Aq02SEXq3EVx0F1ENtybhLJp4XhBagyyV4QLfFHS24yzb8vKDwIsTB+84 11/zIwsc1QjBo7+0fQIZuC1nUlw/EYOrFwQKdrpCql/PFK8q+A0fLYMBrwzk24I7c8plKLBV U2Myp77fTh8rdprjCVOGuePiUfd1o9nBxfG2adqLdIn2LKmEKCr0F7XZlrrZwgzekOtFSZpt Vja5kJqRA1nO9jcJppLQXqkwaEcptSWxmJWVw9akFDODtUA6HIWQailIe9uAjXEexY+dVCwO T+fT5fT7dbT4+b4//7oevTCnU+Sq8xmpcAF+lPI2w2FuzpPXd+xVUtXlQMB/q5K8h84iOMdv 2YrOvlNP/n84lhfeICuijUhpCYzNiYuMxLgno0yXkQgjk4l4GveeEd+0WuIpHE6JPd7GN2oB CivcinqVFrGkuPttQKOrGbFJVjqeAZ9H0yo24AqaxVPH3K8iptuDqisMHzq+hwF9FLglkQa/ 4//TdKYaG9CZMA4EQzTi9WUA1+Wq4QuQ3+KzcnS57l4OxxfVMzh6etrDZfT0tr8qCWMVDKc+ 7l5PL+ydvjVpeTodoTqt7C06saYO/dvh1+fDec/jhkl1dntP0gSuLRietoDWP0Zt+bN6+Za/ e989AdmROqUbhtS3FkjOdvA78MaSecOnlbXPvrQ3vUUQ+Xm8/thfDsrrsoGGpzDaX/91Ov/B Rvrzr/35f0fZ2/v+mTUcy1+j76w/UR8J26b+ZmUtq7DcSTRF9MvPEWMLylBZLE5TGoS+dAxs QXpMu57NTLVyf9f95fRK746f8txnlL3eClkMirzmbgTdRhEdn8+nw7PM3xzUC36ynVXzaFqW kkJ8tczIIyFVhN0pCrY/lUVVLuHKIGzjhbYRMgjz/VJgknNYu/tsaS/qstAR0rtiB2QvqWKn ewQagXjAlhVLz6lVqGRC7MB19KAD19m0jnjyBnUQzFgiocnCsc6Zkze3BHj8xw67ilgwF24S tLv8sb9ihiQKZmhklqV5QusxmQU9UBU/0j6NwwWfgWTuWH7Tn5d5MsvQ4ybPi50Lxx0G4YcZ BfFAqmzZKie5BGDpzsnp4ywFcx6kFoYX9JpRlk9LbCTstCvG+Kj3b6frnnquY2/SdUqV41Vd 4kIAKcwrfX+7vOjak7qCS+jAM+wnO7mrsCVRIe0ZWXSRl9rgD+zQzS/k5+W6fxuVx1H84/D+ y+hCVVO/H54EvS0XD2+w4QCYnGJshjE0t4M5n3bPT6c3U0EUz3eATfV1dt7vL0+71/3o/nTO 7k2VfEbKaA//V2xMFWg4hkxZ5JZRfrjuOXb6cXil+rt+kpCq/n4hVur+Y/cKwzfOD4rvF1oJ l/ieNzeH18PxT1NFGLZ/GPlbnCDcUFnYnlmdYmnH000Tsysxn8M/r7A9tYoZgan6ujg5Szv7 LYqxR76WYkaiiSderVu4rNxugUJ2TLUlmmbERaOEDgRa/kwRFaJhDFoKNVRiB26WchyDFl43 4SRwI6QpUvg+6nbS4ulLkmqNNKCAL+BfFw9FD1KqFpQbmTh/NIMbXLFmYoipAQZXHUntOCBM iiSZhKviPiOkDzZtiFpMJtMs8bNsxsjljrf6Y9hQ2yFIWP7njKBl5NF2zcM+T31DWxJH7i15 uKHW4PiupDJnQz/TNZyKNC2bdl3pT5mbXAoQ0wL664EIDkzhoadFZIvrCH57lvZbSSVcxMC+ TL2e41CZPokcOb5KEuFxTYEp6sQSYrcygOgXIjz78obcRJ1PGoeLo6JNht3B7zYkEdpgP9VJ u9vE3+5sy5BTpIhdB814VBRR4IkX4xagVk/BYzxAfRGFkrkhACa+byshplqoChCdqJkDuhzx fxOPHVTYkeYudG3pXYyCppEarOA/uSgP90hrYtdYNwDlTGyZeYOxBTfeGQ1VDZeKKM9TzEsE 6CYT6YGxzXyhRJmX0GGoojutAvUvs2wWxl+0J9gEKNvyZDsqNU3P5QUYPcOIYVcYQEw0RHcs d+xKgMlY9CKiOQc9R/piRbrcfrf1QQ0ELBGFYczLaBXwp9FuX2ebF2wrfFwtlL1QrOkGrWq7 +6i720yZiQGzxtseCAAvzEvDAFZoxwqMwNIU6Np3l03X7r+rkmGeGXBYe8Y0OgKyPfy+v8JR SJLFiyL2HCleikDFmf/H/u3wRFUb+yONciXI8SaHaa4WgwGLhEi/l4hpy7RIx2gu+jgmoex9 l0X3hhj/cDsILCmtVpy0GQEkScCghiypDEetq0QLWdrfrKaWYGReiX5DpCLiz/X3cCJFBdNm iRseH55bANNkcP8dyQS52xP4dq28wshocRfurHfQ+sXduyBD/qwhRh0hVVeu79NwjNaQ0nGg USrEcWIsz96jjoaYYpyJa+18a6xoo3w3xI1UAOV5mG8LIPyJU2+nERE2HQZ1awkwDsfy78lY 3ewS4nkOZkpQjB1X9KIFIefbgSTjvMCRtrCGaoxj3w9sdF+6OUe9Xvj54+2tc5KSzLtUXOsh QkNzHp9+9lrJv6iJRpKQ1olR0DrMqU5vdz2dvyYH6vT42wfVwuraBwMdI6x+7C77X3Mg2z+P 8tPpffQF2qHemF0/LkI/xLr/3ZKD48rNEUrc9/LzfLo8nd73MPGKIJsWc1vy6GC/Zf6ebSLi UGdlFCbTCgt3/liX/KjXb2Ur1xKvUC0AXU28ND0N4ijqkKWim7mrhAkzzwAXUvvd6/WHIN47 6Pk6qnfX/ag4HQ9XWfLPUs+zPGkBuJbk2t5CJK9CtE4BKXaDd+Lj7fB8uP7UP1lUOFL6gGTR iIeMRUIPQhsJ4FhyWA3JQLPIEtzUZtEQxxFrZr9VSbFoVnhmwiywxMwY9LcjfRxtiHyxwyq7 Utuqt/3u8nHmkdY+YMokrs0Urs0Grh3Un5uShIFl2gbvis1Y3nSX620WFzQbt6kMJQGuHTOu lW7dIgJh55wU44RsTHD1eejGJHBzKuY6NLCGsDt8g0+L39SiZLWxLTFAQUTjFsm/aThSAVAl ZOLKMTUYbIJehCISuFKilenCDsQVT3+LN9e4APpQ+goUZIj6CiiTESWgxmMfd+SeV05UWagq hqNgyJYlaiJoAje4SeSyEfiQENiZWPatrNmcRIxAxiC26I0n3opzgsKruhQ45huJbEe+79VV bfno6subWkohlq/hQ3viQzFIKU+JxMUhwjV7WUa2lN6mrBrXEuutoE+OJcNIZtuuK/8WdR5w S3Vdke1gHazWGXF8BKQu6iYmrmdjJxOGEQMx9YlGYe598WLGAKGkHqSgIMBYBDCe7wrDWxHf Dh1hX1vHy1yeSQ5xxSCdaZGPLVeOz8lgARqFOB9LGp7vMPGO00Y3a2WELAO4rcju5bi/8hs+ snHchRM5SnB0Z00mqKxoFUNFNBc9GgegphyJ5q4pbJXA0bRo2pRF2qQ1nA1QXUrs+o6YQ7qV lKxV/EDQdUhFdwxAs+CGYohTBSFL7A5ZFy6aiJnD5TKPUREtIviP+K60x6Ff5L/66GXvr/s/ lQOhBG93xKfXw1H7qtj8ZssYbtXo/GLkXPu5rcsG8envtyKkddZ8ZwU8+nXEo7C9no77gd3o x1nUTVYICljpy1GLzLpeVY1Ry0rffOkLbkdg1DuTRzIjOFU7DLyz7WZ6hNMZjwF8fPl4hb/f T5cDs8XQFhHbGzyarhYV2a1fCzc2pbbg6f+39iTLceNK3ucrHD7NRLjbUmmxdPABJFEqurgJ JKtKujBkqdpdYWsJLe+139dPJkCQCSBZ9kTMoVuuzASINZFI5OJu2V9/yZHcnx5f4eTfMXrk k5kTc64GduGqnk6cqFZ4LTvwIkMC6GQiT05TZSjB7r2veW1j2w1DTeW2LK/ODw94Ed0tYm5V GAMXpB+GlUXVwelBfkF5UzVzdeL429NpZwtguG5krwpjC045ptljWNauG1o1EbIzjSsMSsrq iKvskErt5reX5LfKjlyi+sRVIOrfXiGAHX3ytw5wxSkv4+bEyde+qGYHpw4vv64ESGCn7OQH UzKKow9oqULZEz2nHGQ/uY//7O5R/MftcKcDOd5uOf6mZaeTA1bMSROh0FlLditXrxodzlh3 msox+FRzNJCiGtRazd3w8PXmnF8hgDhxJWMsy+YGAHHgyBG8V9nJUXYQiP2/GJP/X0sjw8O3 90+o1WB3meZ1BwL4s8wdbwWyORDFLfdsc35wekjvyRpCeVKTg1R+6v12VnIDfJ2dd42YJXTs uJ6MNVVrx7PSnKvqUodpCQMk2Kza6pIGXwjoh3GqRLzsXItarV0FTBk3WstKTExq2ZBENEGz qsXVu/rt64t+zR/b1AdX0JZGw1NnFOfdElOxtnU0c1Hwo6s2opudFXm3qKm3vIPCkrSX7ueH ImgtFYvKcQZoKi6wQB5Hjs9hHHVZxT9uKBF6Co1mbJbXF4kq04S20bdrSwRJf1mscpl7P42A QJvVg/H9ok4E1w+bPFaiPRAxUzMlVa6j9Bhdzfrd6/PNrWZxxCp7uMpwtRsJoSFukRbSXbDQ vG4ZaOU6pA/w6YQ8TGMHpV514Rgy9J40FciV1VTOYSxjQwYRPYIuOFdSXssA27/8VEpnZmur zJX8dI1KXkwFmdL4ZM69KNZpSRYC/uqsFZ7ja5OledTyduVaKIV/F14aNGIy3hYNa9eQO84D xm4S/SnIwvWsaIyuevcDOJbebm6uAoGnG5xsINlWQvEeX4BLy1zvyx4iN82so+5qPaDbiKZx kr9ZBMiyGLYp5kbU0tQyblXaXDnVHnVzRy7qQXyFAZWtkv/qcVj38W/Vffw7dXuODBq2bIu0 0SmUCB//EiWOXIG/w801TkYexSJeECcqJdFXDzDUbGUAAqnroU3IzYSx3fyiCVjUJkDZ82Ne z7wxLWMD4+7/Td9m0jYL+8UcDGS6c3pDXUzMxUCq2gJTSAJVPwE/XRI7X95HRA2DxW/TsWo5 71Zwck64qhVpNjkI85k3bxqAns/OBuvJhg3mgYfRClHhrtIYM3DhJ7T7TFp8MZnZnOhmfYVo p41if8pGRLkuC+n3iG2f3GB8A5eJGIiJH9BhIjT6+TSTHSJAuOb3hSxidVX1zebAcGZcOIsT sDht7LqZ18b50JFG9vgjpgY35Vs9F2F1l23Z8AZxGoOG7+i6bM4LtHThTCSQMm7IwGKKzXl9 7EyBgbnT3WKgJwKIAcA4zLGrtoRhy8SV840RhhFzUgUrqIM/4wc4ApGtxRU0DMTUcs2SpkUi Nywml9Dzshq82OKb27/dmIHzWnNKVkbpqQ158geIXx+TVaJPyvGgHG6H5fnp6YHHq76UWcr6 Al4DvUvaJvOAmdp28N82qo6y/jgXzUe5wf8XDd+6uccr8hrKOVOz8knwt/WVwyx/lQDh6fjo E4dPSzQnhwvF5/e7l0fMSv7H4XsyxoS0bebc3VQ332mQgTBfeHv96+z9IAU3HifRAO9c1TC1 diSgfcNm7j8v27e7R8wBuWWkIrTN59e9xsSLNEuUJFxmKVVBh9feBAZxDv+MZ529BYWNGKYQ XROR40FNcPt11lKpM6VOHcEisWNG3uv6U4oLFyDm3hhLzS19ycgCe1djngcvvKrgt4lmRGCR 9PiQBoRn77T0Mdn1L/NB/PAgff0HAXwNzF8OlsxE9rF4dCQNT3aHrG7zXKgrtnwgXjkE5CTF Vy/4U4e1XGcpn7bRoLNr3vnHYLVqfB++jVL+BtS3MAfm0BXlhDk2JapUWk4cpZQMXXLDThrc XKzKVnk9shw0SoOFbWGYGE4UMeYCxhHdUxqHa1x6AxTHmAPXTeJwcY0QOKZ7MjoPxYPL0IDZ c3UY+9Q2C1k0aSxciSZWIncPFwMxUtOUF1Z92Yp6wW6b1cbbkXlagLDGQboCGrMiIassS8r9 nV95dV4Wm+Ng/gB4OrWZ1VjneHHRMHS1Q+P9qzDO1ARd7k5jUE3ZcM5mhgz9OXRxewLUjRNm w/wejrIlOlZFV3DB+Hx4MDs+CMkyvG7bnR/UA+tzH/J4L3IRj+h7D61Th45lx7POoHGpD3ju 4DNke2rwu2aHZLoy2ldLzVRMe81VytCTgfidEnRsft3soMnvf/zn8X1QKfyqy4w1rzUE2nHP n0UlnKATPTTKuGUOssHK2WRtyCENL9HHHDsCrT0cObFNlUGFFrYn7spAMq1bGEiuU06xD/ee damWUwJQLKvFlHAQpyw3ARlXuBeiUEra26kBC9ckVZd8t84rnpcVGZkk+DGuHCJQE7SVyDuQ yB19MsV9OuIyzbkkn8g7n4M5owZTHsbRRXk4zjnDI/k0VbGbZMXDcQ8wHslssuKjPRVzVjwe yYk7OQRzOok5n2jM+dFUmfPJIT8/mura+fHUd84+HfudhksnrqWOu4E5ZQ9n0JSpZQVI/rke qXSMokmsbcB0eUvBPZpSfDChFjE1mxbvTaUFn/LgT1Of4UK/Oz084is8PJ6Ae+1alulZp/yv aygXnAiRGOALJBIqdVlwLDHApbtQDLxoZKtKBqNKEOTYuq5UmmVpHGIuhMy4r2Ck22UITqFV JoCejyjatPG7PvQOGrVnAJpWLdN64TYOlQ6Oki7j3sLaIsU1Tg5LA4DLjcpFll6bCMU2Whh5 Biu7tfNE67ylGH+P7e3bM76oBxHPlvKKsH781Sl52Up8tul1+ONZL1WdwmFXNEiIQaNYywqM 0CsTUzM9mI2Ws8ewOxAQXbKAm6Y0Qcx5Kns36RK46uun5EalMScPWUoqguh4DDpJTCFNnETU 0HUiA1FdR7egUf99Mu4baDUWawq8Ig4ZW/ahu0o0i8/vP7583T18fHvZPt8/3m3/MDlThnPW CuxjdwVZ9Fmdg1j3ePv97vHfDx9+3tzffPjxeHP3tHv48HLz1xYauLv7sHt43X7Def/w9emv 92YpLLfPD9sf7/6+eb7banuUcUn81xgE993uYYem17v/3PR+IHax4fMQdCpe6ks38TdGhNZg w0AOjaf3QkuBD6IuAUkHxH7coqfbPvgu+QvdfnxTKnMbI0vBhA903VMNLJd5XF350I3j46ZB 1aUPUSJNTmFRxiVJs6ZXfjmogZ9/Pr1ifvPn7ZgrZxxiQ4xPASZiBweehXApEhYYktbLOK0W dJV6iLDIQlCmRoAhqXJCqA0wlpBcqryGT7ZETDV+WVUhNQDDGvB+FJLauH0T8LAA7mnK4Fz6 LklrEWWymw7t6BWQm0aJkNwlvpgfzs7yNgtaU7QZDwwbrv8wi0Xrc+IArk+bfulWb19/7G7/ +L79+e5Wr+JvmIvlZ7B4VS2CepJwBck4/JyMWUKV1E6AWbtk8wkvib6rrVrJ2cnJoSMwGROb t9e/0dby9uZ1e/dOPuj+oA3qv3eYX/Ll5fF2p1HJzetN0ME4zv3t3V3EeTjWCzhFxeygKrMr 7UUQbtGLtD6kXhK2Z/IyXTEDsRDASFd2QiLtlYfnx0vYxigc3XgeBV+Km3DVx/T9f/h2xKz3 jNXa98hyHgVVV1y7Nsz3QBxYKxFu4GIxjKZfRKDar2nDuUEl9jBoCwz6PDFmGJHWL7zIBdNi rhsrQ2nNgLcvr+EXVHw0YyYGweFHNiznjTKxlLOI2Q8Gs4eBwHeaw4MknQeVXrCfmly4eXLM wBi6FJaszPBveATkCbqwBefQQhyG+wG20ckpR3vi+gONCC7AzcA3jsKqGpBMojI8vtYVfsKe 3runvx0z9GEj18zmxnDl4Sot2igN17tQcTikILSsMdhYQG0Rgdu4nWiRS7goCQZhYtnlrtJ+ wIVTiNBw5BMZdmGu/zKzsVyIazYcuccnw0mRNEPQAFSVE7p7mNVwABsZDkGzLucps9h7+Dg6 ZsYf75/Q4tsRhIdB0ErloCbnGaeHnR2HGzy7Dlus9cMBVL/19LaW6ubh7vH+XfF2/3X7bH2y rb+2v9bqtIsrxb6H2k6o6MKL8EsxLPszGMMx/G9qXMy+KxKKoMovKSZgk2gTXF0FWB3SHiVi fzItwrRmEjtIveHiHGi8UZqkQ7l6unMDmSy0BFhGqGdvJDNSeD3cw6yxRxiW3r86/Nh9fcZ0 qc+Pb6+7B+YYy9KIZUgabthMcI4D6penBxKZrTrkueM+YUh41CCR7a9hIGPRHO9BuD2tQADF Z9zDfST7Pj956o292yPTIdHEcbVYM3x01Ykm72NPTWONsBzstQGPXzw45s21CLGxmvoVlcgx p1ncXWzYoEX1VZ5LVLtonU1zVREOSJBVG2U9Td1GPdn4ZDESNlVOqZhPbk4OzrtYQtvn+OIs e2tg8j61jOszfORfIRYr4yg+2VD0E1i87GBhosFJL1AFVElj4KdtLcY3b7Mr0U/9L32TMOm6 X3bfHowTxu3f29vvu4dv4w4170VUTaacqOMhvv78nrze9XhzWyQDMqUrK4tEqCv/e/xrHVYM PABTdtbNZNNGCs2f8F+mhdZg7DeGo/eYmmJjRotSXY7ftpAugjsqnEiKhFLFNLdCddrsyH35 FVPWmFEKwh4GQicL1zqXFBINxdLMMZBSCWUVmBdOwvU6jyTNMGLUliIL66zi1LdRtygPDAI6 3C7hKHRAh6cuRSjDQ0VN2zkykXejgJ+j+tjhJBoDO1VGV9zjjENwzBQVaj21Ag0FDDdf76kj /vgHU8y9IAJ3De9Q8dn4y780iTZJm5Ddw3JJytwdkx7l2SIQKDpr+HA0zsFT2hUEr8055UF5 8wmEcjXz9hSeIYVDzbaPmk54YI5+c41g/3e3OTsNYNojqgppU3HqTGUPxmzfDGsfkM0CdhRT DqNyc5FIenQUfwla4E7o2M0uuk6p9o9gsutcsIjN9QR9OQEnixqulEkH8l/p3NEoFF9GzvgC WOsUCkpRpuAXo7go9nyp1EpkHd526aldl3FqrKeEUjRtDOwmZFLUnwxBiTNauejt4XtAge3R mYJEpcVc+i2FOVuhCq0xR6L54IfvVlmURVwu9KUAA0VWLhZl7MAw00F0Ncf8bbOYo6S+yMwT BvnSJeHnReb6N1gmLpoyT11ull13jSDqL8wRAyIjqSyvUseuL0lz53epc7tewPlKA93OSxiM 3rqP+DAg9OwfOu0ahIb1NeY/bmgnoSElaUhrEo7Zd4+REPi2M+r41FZc0EdI4uHsHebuc5OV gjT06Xn38Prd+Pfeb1/oIxSxcYaVuux8+1AXi4mnHZ29sWnCePgZHO/Z8MDwaZLisk1l8/l4 mJNePAxqOCa2v2XZ2BYkMhMT+Z+uCgFrYtJ6ycF7ubFAMo5KFJ2lUkBlxOZ+oCcHb1BW7H5s /3jd3ffi1osmvTXwZ26oTQvwnsn5hSj4frcWqtAGg3QlVMA10Ks0rykfEom+9QKK8AuJzsTo KwGsgG6BfpcaZx60Ks9FE5Oz28fohnRlkV35dQALiUFGb4u496RJMVTKjGwn05Oq1ByQL76W YqmDJcdVS8f8t0dVD6tWyOxu7eJPtl/fvukUFunDy+vz272fx0wnhkbpWnGRyPv21UGLa82p 1p0ZUG820RwsrQ1Bjt6a/Bp1a5q0o26jWvCRUX6rr27D0RlBBmsAPQrshap/Bx4qc/gC7k64 /WCkTtbBy1SHZJaRe90dUFZBs8eiUt8UyxQzrRcXYVVlhH5obDpAs7AzegL0MP163iKXIes8 XuD5rVGySEKfSFN2xclPBlXoJA/GZThYKyZYun6CJ8wy1ofwUsDcMtoQg0U7R2T5RaldEzFf FeaFtCa27sP9OGF+w+tF6i5u80SC9O/Kx6eXD+8w+uPbk9lWi5uHb+Q2WMGXYzQdKB0RwwGj p3BLND4GiadH2TafSW4tTISOhgBtBU1rYPYmbCUNslu00PlG1EuWaH0JDAnYUsLmX9HKBPMt elLu77Ux2AEec/emEw87e8CaOTBof8Sx60spK+/+ay7e+Gg4btX/fnnaPeBDIjTo/u11+88W /rF9vf3zzz//JzwnFIhibSM3ciJhoZnvPrfJHhKmEvc769qzqzVwI2rB1oLOTRbu/TCN5tcm WCRXJfTfhJlvWmVe6KlWeL02bRsKcsqSeB6Wt5LQ/2F0g0NYXcKNkTWs0icf8C1Mdw3CNbAL c4MNR2hp2BLnAIXWT4YI/ltJFZVaA0J243fDyO9uXm/eIQe/RcUNzUVqxjd1r1ear/ZAfymw wk/Ps1B75eRF1FwVbjCiESgTYWSs1DUS2ttM/+OxgpEqmlRkYZANFbfO9rK7lk4r9cqIW5h2 0Zt0sAsbSWhxzmkjbrU39lgTkZ0AB4JHp2WkgXfNDr0PKN7RFnHyknFV0w3XNnLdhdLh6IHT lwl7nLtj4s4WMDsjJSkrHzlo4xQNJzPe5OhtQ+RVRt8iDMCu0hCOWTGciEIG3mcO0kl7uR1p qMwvakk/IgrN7e0j2v3p2Xdu/lG6x4D9RHwdQP0F6PP7WxD2Hn9sP7++/qwPPhyezw4OqMtp m2VTYv8ivVhUqnSzzBZlLxV1xudivGokubUkYufL6wS9czXbl1fkP3i0xI//2j7ffCOB6XSg BzrKJvKDbjXrIzBGhhiH1sDkxoywz0cNVi/lCaMmu//xmqMD91mv/tE5KOeJHPtc2eCTBUvH XWj2RBAQaYYiG1sqzYw46KkHvOoGW1FKAUVzsZTWtNb/ZKfD/Ond/uv2MveBXlQDAS0uV4Y/ dFQpp0D8R301ToPJmFe0tA3ZMnHD8wwYI8Ggqr/mfQk1QZ4WOkExiWIl+yJkD4Foa5qGx2rI XSPUR01yTard8syfqT7LY6jA6JCf+gvTKmv2HfDUmtMvr3u3kJukdcN+uQS9rsSY/LKW0j1V bXQubuklIBo3m5tLoPUP86lqB8WNW6htU+7hWuM2Ru3n9xPjGczhcjhVTKGyvUEG5U2/q4TX oDQRQZOyJXensZ1Agd9vkX5fnzDHNuWqeVBIP1otSn3bW3G7LIVbF3yQUwrqCuapykEEI70E ap1cMOSlcD0qWzwpR6bJP7jFTcYyVvP+xiLIU1ewMOM8QYL9n4Vm116tZli1Ksvfw8Z+vTfm dza9zGMBy9AbJn2FTb3xsAUQPjVp2iwcGawj8kOhUNpyzcH5cy6wGTcKyP8F3j+pH7lgAQA= --SUOF0GtieIMvvwua-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============1913853616115617678==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH 07/12] f2fs: Convert to using invalidate_lock Date: Sat, 24 Apr 2021 03:15:52 +0800 Message-ID: <202104240314.fNrEhl9b-lkp@intel.com> In-Reply-To: <20210423173018.23133-7-jack@suse.cz> List-Id: --===============1913853616115617678== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Jan, I love your patch! Yet something to improve: [auto build test ERROR on ext4/dev] [also build test ERROR on fuse/for-next linus/master v5.12-rc8] [cannot apply to hnaz-linux-mm/master next-20210423] [If your patch is applied to the wrong git tree, kindly drop us a note. And when submitting patch, we suggest to use '--base' as documented in https://git-scm.com/docs/git-format-patch] url: https://github.com/0day-ci/linux/commits/Jan-Kara/fs-Hole-punch-vs-= page-cache-filling-races/20210424-013114 base: https://git.kernel.org/pub/scm/linux/kernel/git/tytso/ext4.git dev config: m68k-randconfig-m031-20210423 (attached as .config) compiler: m68k-linux-gcc (GCC) 9.3.0 reproduce (this is a W=3D1 build): wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/= make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # https://github.com/0day-ci/linux/commit/7a9e8e67e7f7d0070294e9f0a= 3567a3f28985383 git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Jan-Kara/fs-Hole-punch-vs-page-cac= he-filling-races/20210424-013114 git checkout 7a9e8e67e7f7d0070294e9f0a3567a3f28985383 # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = W=3D1 ARCH=3Dm68k = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): fs/f2fs/file.c: In function 'f2fs_release_compress_blocks': >> fs/f2fs/file.c:3567:14: error: 'mapping' undeclared (first use in this f= unction) 3567 | down_write(&mapping->invalidate_lock); | ^~~~~~~ fs/f2fs/file.c:3567:14: note: each undeclared identifier is reported onl= y once for each function it appears in vim +/mapping +3567 fs/f2fs/file.c 3515 = 3516 static int f2fs_release_compress_blocks(struct file *filp, unsigned = long arg) 3517 { 3518 struct inode *inode =3D file_inode(filp); 3519 struct f2fs_sb_info *sbi =3D F2FS_I_SB(inode); 3520 pgoff_t page_idx =3D 0, last_idx; 3521 unsigned int released_blocks =3D 0; 3522 int ret; 3523 int writecount; 3524 = 3525 if (!f2fs_sb_has_compression(F2FS_I_SB(inode))) 3526 return -EOPNOTSUPP; 3527 = 3528 if (!f2fs_compressed_file(inode)) 3529 return -EINVAL; 3530 = 3531 if (f2fs_readonly(sbi->sb)) 3532 return -EROFS; 3533 = 3534 ret =3D mnt_want_write_file(filp); 3535 if (ret) 3536 return ret; 3537 = 3538 f2fs_balance_fs(F2FS_I_SB(inode), true); 3539 = 3540 inode_lock(inode); 3541 = 3542 writecount =3D atomic_read(&inode->i_writecount); 3543 if ((filp->f_mode & FMODE_WRITE && writecount !=3D 1) || 3544 (!(filp->f_mode & FMODE_WRITE) && writecount)) { 3545 ret =3D -EBUSY; 3546 goto out; 3547 } 3548 = 3549 if (IS_IMMUTABLE(inode)) { 3550 ret =3D -EINVAL; 3551 goto out; 3552 } 3553 = 3554 ret =3D filemap_write_and_wait_range(inode->i_mapping, 0, LLONG_MAX= ); 3555 if (ret) 3556 goto out; 3557 = 3558 F2FS_I(inode)->i_flags |=3D F2FS_IMMUTABLE_FL; 3559 f2fs_set_inode_flags(inode); 3560 inode->i_ctime =3D current_time(inode); 3561 f2fs_mark_inode_dirty_sync(inode, true); 3562 = 3563 if (!atomic_read(&F2FS_I(inode)->i_compr_blocks)) 3564 goto out; 3565 = 3566 down_write(&F2FS_I(inode)->i_gc_rwsem[WRITE]); > 3567 down_write(&mapping->invalidate_lock); 3568 = 3569 last_idx =3D DIV_ROUND_UP(i_size_read(inode), PAGE_SIZE); 3570 = 3571 while (page_idx < last_idx) { 3572 struct dnode_of_data dn; 3573 pgoff_t end_offset, count; 3574 = 3575 set_new_dnode(&dn, inode, NULL, NULL, 0); 3576 ret =3D f2fs_get_dnode_of_data(&dn, page_idx, LOOKUP_NODE); 3577 if (ret) { 3578 if (ret =3D=3D -ENOENT) { 3579 page_idx =3D f2fs_get_next_page_offset(&dn, 3580 page_idx); 3581 ret =3D 0; 3582 continue; 3583 } 3584 break; 3585 } 3586 = 3587 end_offset =3D ADDRS_PER_PAGE(dn.node_page, inode); 3588 count =3D min(end_offset - dn.ofs_in_node, last_idx - page_idx); 3589 count =3D round_up(count, F2FS_I(inode)->i_cluster_size); 3590 = 3591 ret =3D release_compress_blocks(&dn, count); 3592 = 3593 f2fs_put_dnode(&dn); 3594 = 3595 if (ret < 0) 3596 break; 3597 = 3598 page_idx +=3D count; 3599 released_blocks +=3D ret; 3600 } 3601 = 3602 up_write(&F2FS_I(inode)->i_gc_rwsem[WRITE]); 3603 up_write(&mapping->invalidate_lock); 3604 out: 3605 inode_unlock(inode); 3606 = 3607 mnt_drop_write_file(filp); 3608 = 3609 if (ret >=3D 0) { 3610 ret =3D put_user(released_blocks, (u64 __user *)arg); 3611 } else if (released_blocks && 3612 atomic_read(&F2FS_I(inode)->i_compr_blocks)) { 3613 set_sbi_flag(sbi, SBI_NEED_FSCK); 3614 f2fs_warn(sbi, "%s: partial blocks were released i_ino=3D%lx " 3615 "iblocks=3D%llu, released=3D%u, compr_blocks=3D%u, " 3616 "run fsck to fix.", 3617 __func__, inode->i_ino, inode->i_blocks, 3618 released_blocks, 3619 atomic_read(&F2FS_I(inode)->i_compr_blocks)); 3620 } 3621 = 3622 return ret; 3623 } 3624 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============1913853616115617678== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICOIRg2AAAy5jb25maWcAjDxbc9s2s+/9FZx05kz7kFaW7SSeM34AQVBERRI0AcpyXjiqrKSa +jaS3Cb//tsFbwAIOv1mzmm4u7jtLvaGlX/+6eeAvJ6eHzen/Xbz8PA9+Lp72h02p9198GX/sPv/ IBJBLlTAIq5+A+J0//T67ffHD5/+Di5/O5v/Nnt/2F4Ey93hafcQ0OenL/uvrzB8//z0088/UZHH fFFTWq9YKbnIa8XW6vodDn//gDO9/7rdBr8sKP01uPrt/LfZO2MMlzUgrr93oMUwz/XV7Hw262lT ki96VA9OI5wijKNhCgB1ZPPzi2GG1EDMjC0kRNZEZvVCKDHMYiB4nvKcGSiRS1VWVIlSDlBe3tS3 olwCBLjyc7DQPH4IjrvT68vAp7AUS5bXwCaZFcbonKua5aualLBTnnF1fT6HWfols4KnDFgrVbA/ Bk/PJ5y4P5qgJO3O9u6dD1yTyjxeWHFghySpMugjFpMqVXozHnAipMpJxq7f/fL0/LT79d2wP3kn V7yg5tZ6XCEkX9fZTcUq5iW4JYom9QjfYivJUh4OOycVaGnHZGB6cHz98/j9eNo9DkxesJyVnGqZ yETcGvplYHj+B6MKWWYJMRIZ4V5YnXBWkpImd/4JIxZWixh14udg93QfPH9xNugOoiChJVuxXMnu RGr/uDscfYdSnC5BbxgcSA3r56JOPqN+ZPocPVMBWMAaIuLUw9RmFI9SZo7RUK+IEr5I6pJJ2EQG +mTTtEcd7dxQgZKxrFCwQO5XgY5gJdIqV6S88+y5pRmO3g2iAsaMwI1cNU9pUf2uNse/gxNsMdjA do+nzekYbLbb59en0/7pq8NlGFATqufl+cKYWnKTX/DZX46ISxKmLPKy5j9sQG+0pFUgPZKHE9WA Gx/dAsJHzdYgdYMZ0qLQEzkgIpdSD22V0oMagaqI+eCqJJSN9yQVSdNBRQ1MzhgYIbagYcqlsnEx yUWlreAIWKeMxNdnH0xMKIQ7gwaBgFJyd305+AG9sKAhStmUpnMGUHcS1VnoFagtqGEOvmz+4VFf vkxgQrg814+DfUZDHIOJ4rG6Pvs4SJfnagnWOWYuzXmjKHL71+7+9WF3CL7sNqfXw+6owe3uPNje dy1KURXSPHfGMurbcJguW3LD9envWtKEGR43JrysbczguWJwzySPbnmkEs8qpaq9c7YrFTySI2AZ ZcRaowHHoN2fWelZpCWI2IpT5hkJmgDX3edZW4KwiEe70NbeuGmCLnsUUcSgTxhdFgJkiiYUogYj ltCn1r7Z4TR4VOBcxOCmU6Jsnrq4ejX3cVYr/ndTnMAA7dxLg9H6m2QwoRRVCex5Z/j1MqoXn3nh mz2qQ8DMjSsX1ennjFiA9WcHL5zvC/NcAPksVeTTRSHQzuO/LfHRWoClz/hnVseiRI8H/8lITn2R hEst4R/DdhKyYnXFo7MPBs9Msfemdbg5YPg5xCel16fJBVMZ2BQUF8RhqZ9Ii9JD0V2tBO5Oamyz iaYaN2z6A7QY5t5AN70LsjQGRpY+/oREAmOqNDXniSsI5z3ErBCasDsHX+QkNcNwvUUToOOc2FJk woXPUoq6Khu/O1BGKw67axklvUcDQxaSsuReE7DEYXeZwbMOUhPzID1UcwPvkOIrZqlEt4sBiDqQ CXCKUQnEpU0NtzQVxGDEkurIfxBJFrIockOHTrL0bHZhYrShb3OxYnf48nx43DxtdwH7Z/cEIQUB F0AxqIBYzPQJ/3FEt8dV1sirCa4aXbOyEaIglVl6GC1TElrGKq1Cv+qnIpwYD6IsF6yLrQwtQxya eQwX6hKuhsimsAkpI4hobMOZVHEMaVRBYHaQIORHYI79ypSRQpPc1lWONpKTFOyFzziBOiiWaaOP CSaPOUxrpRVFKWKedirdSsROEDvS7MOnpeE6IBANUUXyiBNjwi6BSG4ZROZqjAD95GEJzqGNf8YE ssrsy1rjWcFBWbkFF4UAFw3MGMCfIYqvI9PSJ5+vz4YAq1goDIUhSluxVF7PTaZWI1UuHjYnVMk+ UW6gh+ft7nh8PgTq+8uuieIHBtGUSOlNbKhIo5iXlpPPLuezD34hI2Y3ifo2hTmfxFxcTWEuJ8d8 PJvE+Pw6wi+d832amvx89nEKM58c83EKczE528X0mMm9XVycfZs43zez2tJIFEJB1TiVLq0bdES+ 7Lb7L/ttIF6wKnUcUifw8xDOZ2SttVaASSivz87M64VVHlD0kKuYs9SKNgcsePqIrz5cOOECJRC+ 1bJIuXIwvJDgi4y5MNNH43RzfQa5iP5fj9OzWJllA/J7hAYXCjuc1hzJNtu/9k87fWeO3VXqgANv +qkqjKs8IrhYQs5Gl31RAuLDYOuv+wEKPeVQUQOADqxm3y6sU64YFsxs2pZLHelAvGRlztKGGJHt NsT0NkxHAB/OnkQGy1vfcEAI5prJDWiz8zNrM3CiZj9WrCpaoC+AkQTtY00Kbhp8x9KZjjwesrhG tZ//hewN3PTm6+4RvHTw7Cp2kVlTT9FbpcjNATThtNviUu/vdy8w2Du3ZKqOjYuAJa/6fA5XpBZx XLu6jjVSiH7aQqM77pZAFMELCk63hIiqq1IO5VoldF3ImRQmbMbLglF0qQMeUFXKJEZdOpzFIO1N 7IAUWPTkC1nBrHl0PkIQpx7YRjrN2dH4mCqgr7QRJcnRfVxQsXr/5+a4uw/+bgT9cnj+sn+wKk5I VBsK1oUHb411Y4gfSNZItjOM500nr+NcmWE8O3N4aDkZDWrtKcazfqPeUFW5SzHgPWoy0h93PlnS vow9kUh1lN7aS4tEaUKAI11l6RE62fWs3+PX/vJoS9aEixmH2CSH6IlkTBZYTeIZBlH+pEWVPAN+ gbZG9RITD28lBjTNzuQllRxU+6ZiZtWry/FDufACrUL6UBBQbFFy5a0VtKhanc2GulWHRpdqxdcd QiWlUAoDXu+ZdWUpi/BVpbEKvoQNiW5D5U7fVli4gMSM5fRueoGOkAr7zcSighXq7GZieV3hsSyh Ce2Pb4oFpCgKkrq7bp6QIIyn5Z0uTY/D4M3htMfb2jvvIQUET8WVVv5ohbUN782SkZADqZF2x9wC Dz7DWdE8R3ZTrziMEfbxAFxagT8CtSdqXmPEUHo03AmM4qIpdEWMRPZjmoFc3oVm7tyBw/jGYmd8 U3ei1QTeAq29lcHS5GdG1p63YpEFz7XNov3rHfu2276eNn8+7PQTaaCT5pMllpDncabgJpa88AVR 2nth/NgSxqCx1kEGsE//Biy+Ca4KfB0s9LshhmaeicDu+DOikkVVW3FouTN1uiZe3D0+H75D2Dgd fOCuMmZEXHqbOVZAAGxnizo6rgulvSWE1PL6Sv/P1O8FVlrQRjoWowsdQRVrCBPCykpOIZus28y8 MaNsTdG69+G9fl4oWKkj+aWxXZoyuEcYR5t8/FwI4QvnPoeVcc1hPpwOpKCM3SxAH1Vji3suTzNy 2KBZ3FiGcAIwap0X1NLId6d/nw9/g9c3xGCwji6ZT31At9eWpq9BUTMHEnFi+AmV4tPE4JhS2RbM PdMjUgnjGq/jMrO/MFS0614aStKFMJmugZM1VI2VVVgXIuXU9yqoKTK+wFqHsxR438FnAashyDJ8 XAswxg5losz/kr2OCl3mZ8rnpbklTV405WFKpHXrAd5ZccghIBjz+T4gKvLCmgy+6yihYyCmcIWz AsJLUvrq9nhsXvDCFHUDW5RYLMoqX7W3oahVledmOI2H1IcYve71GHdnPINob3U2cegGO7cfO3KY XSw58zG92dhKcVuwVTTeLMJjYT35taDhaP4YDSVbE9/rlcZYetZBevV/dOZh6G0ULaZXgmQJ4s2p 1UYyQKC+yfYeYAkfGDnjAZfk1gdGECiFVKUwrg5ODf9c9Jps8rRHht4CXY+mVWg9NnfwW1jtVgiL cT0ycRg3wktFC+9ukrswJf4IvCNZsQXx6VhPkK88+8WnACx3evebvrlbSB2Fd9gd82pbj+cpxC2C S892IqpMIzGwO1p4oGFoBFxdK0MnmX5ffY8DndLbfmjkj/g7PKz3Jr4EjngO3qG7fV+/277+ud++ s1mXRZdO+mdYntVEBbjwaxQoPzZzQUBPM1IubStSqKJuStCx7VD0kCK506UCiBCywnnGApqYp2rC 24XFG0iwURH17pXj47kybBB+DSLRtrNOMkKRQ5ZpnaKTCfHXpCdHuJ09Jv14B1NYXNexbM2KlmUq zSItfDQ5iXGPEDalqYjTGZzvfoHlHZbBLwhnYW00muZbCcB1HiccoL1NCJFNZsMnKA337wqRKfGy EFFhOf/w6cI84gAF8b+hNelc+VcMSx4t/M1YK9hJ/Wk2P7uZuKs098acaWpZDfj0PV8QRdKlaXRW NSmKlLVgQ9+jyL/19fzSf1ZS+B4Ui0RgZGb6YcYYnu/ywjtPo3aJN82OqFFBiXKJD2Yibd58B96C dIjO1j0ziAISOXnLFU0GXVm1YaU5SwfTauXLijp8KkQRErNC1OTu5qx+hKdvEA4PvmU5tWhWpNI2 hgipF1LYoXYuE6OgK0s33GwYAMKfiOnSc8giJWg1Ksgw002pSvsLgvVoWFpDIEJyIFnC3Q3kVHL/ 80pTXNB2vvT2JxgUjReIbI6Ua8xU72q7QyK8MT+wi0CVjGRtAcxJ94LT7tj2Jfbp5AjlIMwUcThO QrKSRP5zmC/K8IFBoA0IIWV8NAELh+CPs6vzK5uES6F9UZOmkjyIdv/st7sgOuz/6XoSDPIVkvif uQC5fgsr07ewjm45OCzhNdmtv5nVs/FedsqohGIXBIvMjg+Qf4zXyjIIHbBWypfE4jQ5K6xZEFBn tG6MuzObRhalUKJ+K55QdcIjX8iAGGktZ3cCa0Dkz4awYipjbPKfQrd90P51JUvjvlIyBteMRr7Y 1ySRdv8MoGJGVKXzV8eza3ULH153p+fn01/BfSPS+14XDZaaug7fN5RY3wnlFT4ZemCws9IyUwYq ufCCcwh6vPPDPqR7ug5FVHK+nJR0SzTxPmJQnN/y0u/5DSIs/f9wJuDZj0hK5SupGQTI54njLj6s 1z+aPytX0wtEKj1zmRyqczqCpRWjpIxc+Ar+z4LhaqYnQZBa4ka8VmRS8fpgKAZvUZpRZwdpf50A zl1aUUGPH6n6EOKul97HNxi6NGuArgPqJ0D9SJn0X/8yXnJvqyK6viun4nZVdO8ILriN2W2g01JL CY9N58LjnsIw5wCF4dPmHvCV9AWGlBVJ3TyJDeQtDLv2wFZPZQo9Gb4yO2Fgd6TYiobhE2KqBYcw 18c7wOaUW6MRUNsmB6GWSiJAJpEOvNv4YXMI4v3uAXv6Hh9fn/Zb3SkR/AKkv7ZqaDlhnAJlVJEU V/RHxEATex0JYor88uLC3pMG1XxOR+Dzc5crGoi009OfzxtGOCMzTkuh2/Sd0TYV3NnavaIm/9T8 DP5LHK620PYQ1oxSadlMbzlfFx5xNkA9oYWQ5/FtmV+OVmnAbyzTUHyad1piRIT/SQuMdwRJII73 pZ+6IBkz40cLt24FsoPY7dIRcKl7YmlBEDfDzUndDEJ3zmfmk3VMeCrwNvWrMpUoIdIuPenUfRRb dueh2pwPjzY0o9zyMw1EdzLUlI9bNwr6frs53Ad/Hvb3X4fGHN1wsd+2K3p7qpqOkISlhbe2D4ZK ZUVsGfUOVmfYR+KroyiSRyS12mTAQumVYl5mtwSCH/2bvo4z8f7w+O/msAsenjf3u4PxdnerD22a qh6kn+Ii/L2J8X68ViXpFzF+FjiMwueb9sDmqbwEINs0xWzVe1+HIV3Lhdevuocz3KNuwcCiQvfu OVHD0AmA7tb2yqjND0rmyAnhOgZtxoLdz0BR/XVlJCPyLqcdMQTsoe+O9T25RdUlJUaBiy2s99Tm 27YiLUwWmeEbWmCWma/43ejyxripGcHKW9lIPraFiMiY5ZQ1v4zyimPiUjSx9+vR8DrtpJCP68dc w+K1IF9Y0wVTxky9HxZgeLCv0JxqkUtf7pEp600BPrWIPFe/b4x42RyOdiuDwq60j7qhQrqzGS0t E80+SAVs1r9m8VCNGjO69fW2KvhnkD1jS0PTtK8Om6fjQ2PY08330UbDdAnaNNqm7iaa3J7G1qWv XhCr1PZR3tCe5w5dGUe1n1TKODIiBJm5S+CGhCimmdk3toDuNvWikTRLkv1eiuz3+GFz/CvY/rV/ Gad/Wnoxd5f+g0WMTl1aJICL21zqkSrEHMt/+vdGIp/QRuyTwN/GLWv947jaKH17sPM3sRc2Ftfn Zx7Y3APDTA9/sv/oYkgGTjwaw8EbkTG0Ujy1ocB6ByAcAAkluDAzdHlDXG0388sLVrpaILauNFSb LTaDOzIVGNWskVn4EiPtwxfJnUTT6siuBbe9n9Oq15ItCi5A1pHPj2i6JvR4HMNqkov8Dly+u6+U qIZ1QyvJD07d/Ch09/Dl/fb56bTZP+3uA5hqst6By8i0W8Q6FfZ6T6irilyJwnetBOQ0zY/pLmZX HxwsK3V/KWLP5p9s8wSWZt5Y5SaY2x//fi+e3lM82HTVEMdGgi7Ovcbzx0xo8iSIp2x2IEQHDbao wLQgZmSVGnDze5+7+rbkaspIdKTd76snZhLKl1+ZFPM1GpsFyuC7fc1u63aPjcXb/Ps7eI7Nw8Pu QR80+NJcJuDK4fnhwcNPPX+25r5Mo8ejpru71whUWPzd5VuDCegBybstZvvj1sN+/H+SOzZCYyIu lyKnCS/eRDbW2OxL+A+0ke4JnnkONiLGv4MwaRHcIWGoRnrRNBdSCur6FX+UcXx9eXk+nDy8YOaf RTGhtbzFqn5m/WWCCQJsZTKjOZcspIn3Fvl22CeXeHX0OdICzd7/Nf+dQ8qUBY9Nz5vX4GgyW3w3 EC0Iw4W2S/x4YnOSKuT2rACob1PsQsY/lgE5kWOXNEHIwvYPrcwd0SM2hmACrPukrJFmkVYs5BNK r5doO0qtkckdZEEQ6XqnFrEXDGEOdkf66pxNx7VRY25bsPMqTfFjGlN3f+xl9FdQaGT9nKYbiO+M 4yZwhNaga+2f4fhkFEdbiuatHOlGNyEqQ7DP+yO2okKuvdtuXo+7APSB1rEMwMlhD0A75GG3Pe3u jZp9d57Qss4d2PFjQ4UPD1cXS0Wjlf9HDPg7Tqw+YNHB9+7avKGG9nN1v2zo/f16h8XN+kYBHLsD mDf7t6gglW4qI40fW2UskK4RQajjyzRIdyRCUJNYlTTEJLeZ3ZRuImMSguOSzmRu10VD6q1VIUaR csGUM0cDBP2WEm6r8XdDTKytdybGKSIbmJj64dgcZRbKTPb1nmmcsEKUKkUpwWDI83Q1m1saR6LL +eW6jgrvb+miKsvudMJtdiBQeXU+lxczXyMkZNupkPichbLW1YDheaCI5NWn2ZykVmGCy3R+NZud e/W5Qc5nvgysPZcCksvLmfE20CLC5OzjR+OnHx1c7+Nq9j/Orqw5bhxJ/xVF7MPMRHSPeR8P+8AC WVVsE1U0wSpRfqmottVjxciS1pJjPf9+kQAPHAkqYh98VH5J3EcikZlQbIz3lCRhHKi1LJmfZAFa JoaLmQN4SQ8XVm4rpQNJAKvfpNmqqhYcAa2dU9L57A0UZfRIbKpdQe7UFhsBWgxJluL2JCNLHpIh wbpJwvz4dcnyfVuxwcq2qnzPi9QBZxRehny6/3V9vamfXt9+/PwuXPJfv11/8PXwDQ74wHfzCDsx Xye/PLzAf9VwRRfd6Pz/kRg2yE21dwGXzAWc/FrsJF+RvaJkgmAqlVoobVLNA0b4yZaKRlP+GL3C 7698J3i950eA5y+iJkLR8eHh6z38+eeP1zdxCvp2//jy4eHpr+eb56cbnoCUEJSpy2mworc1tu4C yDiKzxsO7vAtQvme4B5bC17aO6kgw9lhcwQvxa7TIskpXLzcmm4BigRxisCtSVepSAccXn84FnLC NMQ+/PnzX389/NLvfKYcMMFdHiXBOmY8N1kTTfie0aO2kXVFzWX8vu+w1oAPVKs/CJslvIiWvMZM bt7+83J/83c+OP/9283b9eX+txtS/s5nzD/sfZ9pizDZd5K6toEy1SN7+kAx2ZtpZG+Ud16T1TwF QiAaYHFAXQIEQ3Pc7TRZXVAZ2KEI7bDWDv00S7X+kl+0td3COsuWrPYB3wngb8FiFgdiHQr6d4ve 1Bv+j1VxgCAkIJhjuDJkXTtntxzRjYoa6TbHWxE5wpVmafZNueeCQEFs6r7lZxybXFFiVYaTi+Zk rANqeY3JoEmL2BEAmfWqoRrlxyEu2xadRoJZ5FkU36bYTFGcaLRF1FNP7KUU+lEbJHlZp0rSYxQC p6HByDDODLdd7cgn70K6alezvjMipExtVFJxjdXXKKYJF9SZn0hkqysrJvZRwU2LQ7HjIj78wJ3O IJEazqY1Oyr2hJzcgisy6+HuTQT6UrEThAat26rUqOIEpFHYoWhFIEe9iP2+Fhrlcw1OYM6CTV1l UPhM/KRRhfrBZq42TP/d6ZUg4qJRpdAa9iiNBIHp4F5PuDhrCAxHjfC56o56csrgRKiXT40DYL0D 2DuR+qhXTsbDMUbGyeEiDD0qblld6LYpPlbYdOIY6Ab7Oy1zSZq0ht3x2O8LtgevdfU6bmIDIVgl z1bDagmgH0Q/Y6t+SRX3bq1LhO/yYusuT0fkqEfO6Qn/3n1fBPC2birUuhTAVuz8SrxDaag8nQW1 AwyswpKOW3IIEx/TXnM54WlHx0sLp/PvJmW2HpLC0tPLzzenkFMf2pNuNA4EyypSA7dbcH8Fy6kl b4kwYWT10bhtkBgt+IoxfDS0TfOV3yOEC32A6Fx/XQ3TnfH7IwQPQC2pJcMfxztQEVkZV2eX0dSE Y8aUstnc6nn5LZ8Um2PRYboQpdSabgwIfMTg50WJ8uWmRu2nJEzuila9aTnKGCBglKyfZnTEYWFj MDGquR9L9MyGYSgKO23QlTvT5Ptg0fY1YbqF1NxbDILQLllNlAvfs/hsVzNboBA/qCwMJVZHBa7R dMlx0+Gno5lltw2wOHAL3unephpwcRhoLExcGmgqiqpWZiZY47qC9Gg2jJ+KbutDiVp6zFw9Va+i l5RFwBMncAnCAM30FgIROkLLzUyUiyBNU2B6t6X0sL0euw1eNQA3rpAoCxv41b9T/du65D+Qin7e V4f9qUCQgsWe76MFgyXnhB4LZpYtq4tkY45+ETlOcaOWv8eJz1uVHGlkr2T98UT2jHRVhfsDjEsO HiCho3VkKEsFSZubgsKXAIOy9ZQYQhNFlPZocAblqF8x+X3fogQmJfQsSmRRNPM2SdMdnHQonvbB /fXHV2FMVX843kxHz+lspNdE/IS/hT7OIPNjIl+9TSr4lBikUZckmZdjmMA4EUQ3VFUpvu3IBclF XMIbCZ4EhJlbFbTSKzBRLgcWxxlCbzQlHtZic+ARTKqQ++O364/rF76P2+rlvtd0k2dcBIKYDXl2 afs7XAUglZwWPqElH/4i0vAYlWG0GfjxcH207+vGCccPqM0dUQ9qI5AFsWf23khWAxO77V/UD/wk jr3ici446aA7walsW1jm0ZCjauZ6aGgVQjV1KgOtDhdKNvrgmsBDJ8xs2X9HGNpBqHhazSxoAUR0 jxKPIapW4VaL06RDrkbv+iDLBktaOzw//Q44p4iOFko2W6MnE4LCN7UaR8MAhLLr2KwwzK3kGxxE D3u9EJU0zYpRgl+HjjAj5DCgqqcJ95OapcOAtNmMOYS/kW1cqv7oi91ogL6Kr9TFwXnZ3MHl11o1 xy8dFuwTU0esYQtrJe8PEXvM6o8tay5Na1rVW+BUzrUCCu76sG2qYb2QML8++2GsrqXGAmR+Qfqu sQxPRvAgNa8lfsw4XHZMc8IT996G/91ylBVh/1l9wNaX/ZlYkZ3HMojAauq5QKGLsvMMx8urJS9+ tJcBu923y9ZEq1taX2QwcEUPI6igxTdCzkt6caiJDFCIIqCp0sMTCFAes6VMvS3Q8D+CTz3ZSwJT 3XUESTztUh53ZomPt1V33OrcGyvnBd7fWtGeZ5IMClsfISCVMkgWfFNEIR7OYOGRzY71/cwy1O1e aspGBwGw4bv54t7VQd0pfKmJHj27gGvrwwVinuIWCjNDhDNwSTeIDM+4yXbYVSpFZ1SdeVPhCq3q /NGFiQgxLoP5nvA/LUU6TJA1lRJcWoqT74V0MXYprbJAnDFFGahCfMWpD5XQzaKpH07nY48aNQDX mZcLNK3DHfY968PwcxtEtmPR5B9sN/DcTrLa3Yn1IjjT7G0h1Sc8QVvZpBrzQ9mF7gRso7TZCU1m GaWqoIh5ftaToqdhypv+fHx7eHm8/8WLDeUQhpZYYeAjueoa2QO96UkUetiN+MTRkiKPI98qxwj8 soGu2tlE2gykbUp1t1itgfr96GyiP3q1qHG+qyQISbZRIzhPxJbMsx0ym8V+8ERYmm3pVvEazM2f 4Kcw2un+/fvz69vjf27uv/95//Xr/debDyPX71wug5vaf2iqM+hDcIJwaI8ALyt4akH4++hnVgNk TaE+W2Cg08Wv/nlFKz32FhBXylLTQc/hY0Vlhym0IxST6Xy8YdUiaPmxmvYV7s0HsLQQsU0qf/G5 +MQFCc7zgfcx74Pr1+uLmKDm2QaS6Ysj41sjnfr3+PZNDqnxY6UT1RgMzmGgDbH+tNHbYOoMvaJA HC1FHA0sWcBL5XQwB6i8zTI19gsCA9jZiuNVmGmFqNTSvuisQ7xXWIvZQOq+SHum/9AWOKmFYLVh oLyQHx/AkGXpQEgA1rolybZl2g9d088JUyLKvF2sKzm/tL27fBSyBG6DuXCJozRSZ4VlFFnn7McX F59/WCtH27e8cM9f/m2vxBBnyo+zTEaPn5KrnkTgznZ/x4+J4jExV+Spm7dnYUHDxzafDV+FTxGf IiK313+68gGLpixow1BpUYuBaO4Jdh3mL+sDiMGK12J9kDuSwsD/txAmZzgLkGN2SXDpGUniInDu Jfj1wcRCSRuEzMuwzhtZ2ODH3rxldrzfXq+vNy8PT1/efjxia4KLxUyYghhQ6DUHOmFR2vixAwhd QO65AEV9OMaghacKuDjCxRKhKFMMKOC3pm0YCcIAWtyfShvp2A9Mjrr7JOzxLf9Ic8eYYZG5ePHI DRP8Jktg1gt1gkqLIQ29YZoeY9TV79eXF77firJ8tW+pxJflLR4xSs1s2aeMXDdZwlLF5E9Sq8Nn P0gNKquPmg5CugyBMYbD/H6lDrO0Iaj3v174AqDtbqM/Uhvz+WqWTrSUh1EDsyZCVAvtYo906H1X ywmW1MymJdssthqsb2sSZL6n2gchtZM9uy3tWhs9ypeAGIs6tqBaBDxBllKL66OmDfMotD5q2iwN sVCpY5vqc122QNHQghnEvmVJnCWDlUH/iQ4ZJmVL9LZJ+PHQSOyWZqE/IMTYs9Ln5DyP8OFnN7Ro 6fPDj7effAMxJpU28HY7LsvDq0pWhpRvHacWzRBNeEr31leTuvVBN2LJf/7v//swimT0+vqmFYx/ MsUSY0GUBUZyM+bfYnLYwjEeiCw622nPfCBFUYvIHq+afSpPZxTz9pW6ysx0pkXanslQFy92AcrU NwDxrqUeLk7j8EN1zusfY8NR4whCo3FnKPPi9z4OPWfOIWYnr3O4ix2GF9Jh8prOleENEnuDK+U0 w9QXOoePp5pVXuRC/FSVrfRhM+/4oEGDqDPqZalCvNA+CYMQx+AVSk2bLUF2attGu4hS6U5rO41J +JFoSZSF5MBWsnGLLUoCMRP5XFIuoPm2lOVBLD9WRrNY4i4wgE+aWcEIuPKSq+Cc2qLxgSgN1keK WTGYJHViQ/USXIs4Fv1CbgPPx10JJhYYEgmu1FNZ0HGlMahhrVS6IvtNdKZa+0310YiTMaRGnD7f fArSYRicgH5PboL7UvN7MeGyv5z4COGdAEZaa5UWG7si2A5t4A12dwKdn1O2p6q57IrTDn/nUqbJ R5ifwiaKFHDE8NOExhT4mBQwtTOXevi40YMeTZgY4brPjsEBQoYqTU5080JkSVF05FqKfZjEPlYa UOv5SYBZVykF9qM4RQoEMmSa5CFWKN7XkR/jgdw0ntyhDld4ghh/gE7lSUN8Dio8sVEehCNTz1cq kGce1nwAucLVzZOObsIIr8A0pMSYhb4I8gjb8ya+ro+9EG3urs+j+J0WKPM8R21DpuVb/Xk5qwFO JWlUPsnjn7xovr5xsQ0zJBgdxso08jXTHQ3J0AIvLNT3Aqw9dA41trQGJPolpwrhDzZqPKj0oXL4 fE7gGeRBtOZ3V5R9OviI3x0AkRvw8ew4lGCnH40j9Zwfp5iMNnPs5SNQ9qcsTB0XVTMHSZP1/hvA 5xqciA99d2yQerO2Uh36Z3o/tMpmOJEJ/wteJYfwLW60ZSesQiVLgvUKgWfjan3kfgWSjV3k+Rhq 0Lepz6XkLQ5kwXaH9ds2jcM0xi1bJMeuif2MUayiHAo8ht/3zTxcYMEtQBUOh5PnyLCv94kfrrdo vaFFhUkACkNbDXZf1qDQEsuWDfVZalP/IFFgtzGXJDo/CNABLjx1UFFi5hALdox+LKDUaWeicOWI o60EAhTg26pv1wSAwHeVJQqC9c4SPNHaQiA4EmRtkgC6NoHoEKQriQJD4iWx6+PEz9/7OsnsVgIg T+2icnropyFSCfAI5nPbAYS5A8DGlABipFMFkCNjUxYrR0chJW1obIIWT08SR1D7maNlQZg5TjJz Vl3KFwbcm3zubJq8x5C+y7A6zCi+q3I6pr9f4AyfxPwAuP4ZOvY4fW3YNhSdtBSdsTQPUWocCHNe JG8OoWKgzoHsJS3J0jBBGwKgaHUuHnoitVE1M0LrzRyk59NtrT2BI03RVYhD/IS7JqccWkLBbg+p 1jaLc2W/b6lhfTXy4WSQ1YIksTtBAKK0BrDh58h2W2HV4BvShWy37dreWx9Ye+rgneOWYT1cd2Ec rAoSnCPz1IenF6BlceQhsk/NmiTzQ2TVa2jAT6MJunIHeZqhg1BCYKJxakCx+97uEWb+2rQeF3qk RnIR91z7R+Cl4ZosLVmwHVGuqhnSvYBEUYQv0VmSZUhiLW8OdKloaZImUY8dv2eWoeI7GTotP8UR +8P3smJ9e+brd+RFwdrs4SxxmKTITnUiZe55qPwPUOCtte9QthWXkOxUPze8SkgTsk2v+f1PZH6O QLqCk7Fdl5PDXyiZ+KjsTiu+r6+tbhUlfuQhKzEHAt8BJKDbQ4pBGYlSig7ZCcvX+koybUJMGGB9 z9DxzCjlcgW2ihE/yMrMR4ZtUbI0CzCAVy4L0LasD0XgrYldwGCaV89IuL6w9SSN7Cr0e0qwODQ9 bflZ3UEPHXSktpwu10x7YnHkPemKtrG/LtOcez/w11O5zcI0DTFNusqR+aXdOgDkTiAosWEooPVC C5a1NZszNHz97JEtVULJYYcWKgnS/dZRKo5V++1artNtpv21UOajdRJyS4E7xE3WyFieDN4YZaze GNb76MsBG0ILlB0A625SGC3+9fPpi4jU6wzJuS0tay6ggXbFMaJaKi5P2jhGgzuJr4s+yFLPcL8A hBc1zj199gp6mcepT28xKwyRotC8K5cHM02/CQC6eQ2+0HSTV1F30wxmJoax2SaCnGEjdkZV9e1C 1O5+RfOBMga9x59R9doBUhpVO1YFTLXOREsCvVEELTSrxKm+Y0iLViN+ODi9VQRHGySB8hYT3yAh rlpNlNURaDyFtin1YtafWBIYfTrachrFzLKWn69co02isTmkBDnxsFaWI2K8VjDGyXilYFOzyGo+ eZeCbfszGljDSJBzXCG/4LhqWuB9EiautgAwT82moNVhG/gb6urFrupPeo2VG6RpZI4UXbs4U3Uz BZGodVkgqCTuY/QMByirCLJosDpKkwEDaKweRWYSUhr28S7j/a3MimIzxJ5nrX7FJvRHsquQd4zo 181A7SFydRjGw6VnBPd7BzbbsEdSszTD9Atjyg01+2ey6lm2oJZxgRi9YRLWPp6q15eUdLAqIeiZ 49XSmSF3DT8oqjBR0jsFMzea6bnvXoBGhmBlBeIsfGkINWG4v224rO3sxNGMCRlQtw0/kIfojtjQ MA5d41aaTZljvejqz8dD4XwnRuRIs8i5spmWVQvN3ghmgyuLhvLmuerLLSx+2sm2X3d8cMkQ88fT EV1tsZm49mLUzLOth6q8nI9Njyu8F87pzSAOsBNVTTQWnjk+0CoX3x52MCQRqCB9liXKpqpAZRzm GYpImQeFDOFlQRRxyG64SQrAGlXs+qstZQoBGhKosbwMxMeQbXGIw1g3Y1xQh7fGwlCzJg+9GEsZ 9EZB6hdYw/E5l4QDivBlNPWdSIAjWRo4UsvSWBMgFKwnYZxh51GdJ0kTPIFJ0HhnDgBbjJpeajxZ EuVYMwooQXt1kUNwSA+fqoFCFnqvSFw0ChI04zbL4tyROBdUfOykbrCgY2Y0M3MgIpaCI8scE9YW lnFbRRIG8+IoRtvXlpUU7JxlXoKuCgLK8BQBytGvPpEjtZ/cUcETP1SejXduFpauYO2m6rq7tlYD mEC8xPqAeykrH/dR5uGnQpUJ5L7VZu56eg48fC1hAW2LdzMBLuY4oCpcMc3SZL3LFcEQS6HZxb6H btALE6g+/SREF1uQYIIQn5hSmNKtV000xQQ6g8l3Z21KXRoq5KZ3mlCKG6tlGCUPpASjnOEaqU2x qTdqcBtiRsQhFyN4WVOjNrUdOJeRIz/j6wGqu8uhmiHkO87ADyQTw5KxoCcKXU3yj/M7SbLj4c7x LSsOd8d3vt4XXev4nHKh5uOmXE9goC1ao1raUGHpdoRSLNFlQBDs4eIRJNapDSiHY19vazV6AVDb Wjs5jSQZjRheBcAk4aqsC8EJ5r5GWAOR9z4N0bsJAI2joEhrSuc7SkYeP57wTdmdhXsvq5qKaB7R oxvQ14frJChDVGH9zRNZkYKKoNYyM/xgIBhl4LVLf8Z4Nc7xiU+F1ayxeI3bBbKyw5pWgpMn0ruF kI8kK8nMbkVWm0wfnuuyOl5kmEC9jaRBVqOOnvK8mZaH0S/k6/1z1Dw8/fw1v0D+X3rK56hRVsaF pp+IFDr0cMV7uK1NGN7VMh6KlYA8u9D6IDbXw071OhZp0ooG/I9eTYFsGwjD2VSlfNHdRG8PfDqq xzGsxsqwWxxZlfYwB9/csNCe7sm2sHXVp5N4U1C0iRomnX8puvTb9U04e94/yQc1rNJ09//z8/71 7aaQPrvV0FZdTasDH7KqS6OzFuM7Tf96eLs+3vRnrHYwOKjr6RQADxX6TAJ8Vgy8d4u2h83DT1So vDsUoJAVvau/yQhoBfECmHzHRDyZDGFRnSU4NWhU47HySPXUFWXW28u2mB7kenh8u4cw+9fXm+mp khveG3/bCuDmu/rx39T2kuvBVG2kZcTg3py2gbElL3Rkcgk6H+tH1TFa+YLCQ5kEnZF9u9PGv/re JbPmak3tVGo+zWwibGlaFE7oCjVttDf0Vlc64vr05eHx8Yo+NiQX7b4v1Djushyw+4prCpFU8fPr wzNfEb88g5fbbzcvP57hPTVw0wbH6u8Pv7SEZRL9uTiVugH+CJRFGoX4/f3MkWeoRfCIV0US+TFB 0gYEveaROGVtGHme/SFhYYg6PE9wHEax2VtAbcKg+D/SnmW5cRzJ+36FThvVsdtbfIrUYQ4USUks kyJNULJcF4XaVrsUbUsOSZ7p6q/fBMAHHgm5J+ZSZWUmnkwkgEQ+kH7ka9exoix23OmNga6SyHY9 7CTA8XAeVayDBriLXfFbLqqcgBTVRu0vO+dNm9mW43ru+Xvfl3t6J6QnVL84iaIxd6cdvL5F8mEX NFYBuxY179VHzBHYLW3Ajy0PLwgIerS6WTj0HLwwINTCCtW0CW3cPr7H+7iGusePMT0Kx94RS/KV bhk5D8cwsLGGgI8Q2KK2TARvEE6l2iJYj+bFtq5829N4iYF9rR0AB5aFTGXz4IQW5kzRoScT0ahE gI4xqD7CdbVxuWWywGeUfXcSdyNMG9gBMjHxxvFDNbSUeLBBGXt/7JtR6mMNoQaFAj7UZAxj/MC0 IlDT0AHvetqUMvAEBftymFoJ8cn6mbjhZIoUvgtD9DLefsgFCZ1WGksz28+iMLOHNxBL/9zTHDc8 e4s+xasqGXuWa2OpJkSK0NWb1Ksftr6vnOTpBDQgF+nbQtcDTQAGvrMgmnA11sDDiyb16Ppx3J/V aulFhxrs2YEcDVCh71Ny7WGrP+5PHxeW8Eevr5/2wNUXW+E7wURbVpK1QjtMGiS4ypJ2mQvZiwzt 80HCYVrp1TAgFafc1FbLIZdb/HG5nt4Of+3p0ZPNgnamYfQ0RFKVyzmHBSycMWwW8tN8n+0JQwd/ QFSpxLgNeluBbcROwjAwdjSN/MBgia7ToW/7AlXRONLzjYqTjaE1LPqeKBNxy2FTFTbqJSYS3Te2 JWVuEXCb2LGc0ITzLctYzrMs88g2ORT18XArOmFwSwfSEsaeR0KDa4BESBf3GDXR0fjHDk0DmMWW ZdAta2TYYVMjcm/xse3g2NQzzv8shr3UgCvCsCZjKKqpt9pGV9HEko0R5VXu2P5nXJ81E9s1cH0N W5ChafjermXXMxx7X9iJDbPlGeaD4aeWktoOE1+iXLvsR1TRMTufjlco0l+h2dP25QoHmt35efTl sruCsD1c97+MfhdIpVsjaaZWOMGuCS1WNkjmwLU1sf5EgLZOOYZzpk4KUFsG0mUjW9AxaBgmxLXl RYIN9YkF8vqf0XV/hr3zSgPh3hh0Um+wgLHsFt2K4dhJEqXbGV2FSq+XYegFDgZ0u70IQL+Sv/cx 4Djp2QbLkR7v4BKDtdy46NqluO85fEh3rM4wB+M3EzZqf2Hjl+XuqzticKSOaRRJ2tPe4DTGKlih CfpS1X6skB/UlC9oWeFYg4bUoU4CrlNib2RXe0bbyoNEfSRDqPgnw7a8oVWNrUFc0WV1+zvb+HVw wOOP7wOfGD8aMLK4vbMeEdg0tdmHtYc/EzJmm4bjyNYYik9/YGsrlq6DZvTFuELFHlZhGOi8QKHY RaEdshPoTMfBpjXBmNtVli8Ih0StJh97QYgdSoYRe9pXXm6a8S0GgtWKBtjqlqXra5yZZFP6RQpM yS3iNeUgIAKKMJej6EqZiWw6sVTp3442VFuIZhPLuA7SGN1F3HGgf7DEgc0Wf7DrCTwbfSek+LrJ ndBVGuNABxHoiuz6ntiwm1MteJmIAjxutxgjy1JREjroXMkeIQLcNFtcUga9ZrUh0PzydL7+GEVv +/PhaXf8enc673fHUTOspq8x2wOTZm3sJHAkXKWVpV/Wvu3YWh8p2HZN/DmNC9dXt/t8njSua2kL oYVjJ1gBPY7U2uDz6EKALlnUk4Yx4Sr0HeUzc9gW5gWFr71cYQvaAnI8GTNHVB40kCS3ZZnc5Qnq vdOusFBbYUywOhaRWpNPEP/9eRdEdoup0R12SvHcPthj91YjVDg6HV9/tufPr1WeqwOrcizEzbA3 wuhgJ1DXxICa9Io4ksbdG1kXBZylJGZnJ3kwIJ7dyebxm8Zky+nCMbIYRU6QIpXBT6lHmxYAtfDz ZPv8Hmz83ByrSXWqOzAf6vI5Cee5efEAVt3No2YKJ2dVCILUGY/9P7Uubxzf8vHsde0ZvIbTwY2N jIp+1zyARVmviIvp21hhEpeNk8pdXaR5uuwfxePT2xtNSd1l7ht9SZe+5Tj2L+LDKhKatNsvLPOx s5L0U6b7Fau0OZ1eLzQQMHDo/vX0Pjru/3XjjsGS1c+UdB/SU5z+7sYqmZ937z8OTxc9inFSSwkA 4Oc2qUCQbbp49fg3qLuErSTNZ/SZEJsMILorSBvtXeIRwMyYBUFaUEOnrMQzg1E6GqB/C9fbZDvL 6oLGRzc0Bd2OpZScAJunxZYsqFVB2wkhzn+r7B21acol/aBQBQ/dD0cZ7KmkIyBZbo8FA64OvtxU TM82CTc3kL6kir7VN75514WQzmJQ+Apgsan1PC3kxtfwVWRIFS3TvJuc5HB5f939HFW74/5VakLB iDVM6yyZp/Lss1oHjFT5sPKm58Pzy16bd27Vk23gj00QqrG7lA7pten9KGsa+5sx2/Z+ldV3pOvT 7Lx7249++/j9d5joRE0UMoMFXyQ0yoy4UGZTtENoVayR6e7pj9fDy48r7LR5nBhTmwKOm7m0hmTD h6IYPTUAjbWYZ/NFYyg14O+axJHP/wPOGJp3IOnMo5GamZXiQy7mrB2QrXMGgokSuH6JJp8KSr6v DcjOkBiVGUId3NPgEypmO4/J8oFE94kacGqwP6Hite9YQY6lwBqIpgnc2gN0Bup4Ey+XGKp1QxGF xifc1dWxSAopGq62LwwDIeVqKYVd5hH/s0Rn2YWYURp+DMEtmzpdzpuFuHAAX0cPyKSstGq6iOLd ie59/0SPkLQPyM5MS0Rek8pRu0VkXK82cgsMtJ0JUb0YtOIPOCJoVadRrowyze+ypQyLF9RmXIVl 8EsFlqt5JG2KFFpEcZTnWMZqVoapedUy8WNVpwSzTaJYmOx5uawzksobcAeFwRtKprB1syRQUmvU nhPNiMGQ3+/SR/UbFtOsVj/sTJRgDJKDeC5lY3wKX2frKE+wFBYUC60x23y5rrvHVK3mIcqbEluJ vI30gZTLLFa69FizzUKGZnGUaNVnDXYooZhv0VRM305BzUO2XERLtY67dEkyWCyGoxAlyWNT/FyG TZVZhvNuuS4VGGypdImorXdw+qPCrQN7khme94/i61UxzdMqSpxbVPOJZ93CPyzSNCcmCr5O5lnM 0jXfIMmbGk0wxbGPzKpUnYc65UvDVCyL65KUs0ZbuCVNi4bmmmdomvAeYdVlk6k1lTWeRpPi4CBD IyjAWpHUiQLYvJyrtInyx+VGba8C4UR3DEOpPKIWrrA4iNxzQDySRlkgAlATqlWdwQlCbZ1EmXm4 JCrIajnXytBYk7khGSDFN2mkiBcAAUfBZpJqEgZaqPKVSXzWUp4cKhWoF1BEMmFR9yBtzKSI6uZb +UgbENsV4bfYvMnWeK4OhiwrkqZ4YnGGX4A4waNHcjTNgcaD5BuJVnSv3lYEP2oxyZplRWkUf5ts WZTqjH9P6/LGlH9/TGBbVuUuDy6yXYjJmwR4m0CF/1IbjPIKN1/FThRDQjHpqCMnmRJRfd5hAdif ach0Wy7ibJtnTZOn23QJG7jk2EEpbro44MEIYHNu09ALr9McphtPC5lXyPXw9Admk9uWXS1JNEtp DPpVIfp8k6out1OW6EhsknDYzcYWp8t1FA9KlURtfJk+0M1LsF6mv1Rb/wG27SS3jmFyFuSZzAOM AK6hcHZewkmJpj+MF9QFQT/fAqk+O6x8RNyx50davczfHb9kDHjsZtVhx7IFaA+2bDxeNSPgnp1m PE8EY2y2vbVITdKACx4CFO89LdBXItMMTaJxFXr02NWLtX76dNtARUJPJBp9MmDr+K1WiIbCkzgh cUJLL9fEEfUjNM9pk8f+xN4YR0i/NNOFKpzE1M6/vR6Of3yxfxnBgh/V8ynDQ0UfNIMLJohGXwYh /ovCi1O6+xXKdBT5hiZqVIdFvfxNPeYRM2jaykLO1NkzoRNgtrMMTeaFa3u9vn32urv8YIavzen8 9OPGSqqb0Gf+yv08NefDy4tyneMdhEU7V5wP+lJTOqXYzEhhSuI4pZGgMpDA2OmM5SnNptFSOlEN UDZ/NCzSzbLbKElqmqZ4KeZSxNBbjpzhdDRsg5oknaab3ZIMuzILJUldGQYAGHxrEWgynEkEirqp xcScMqLNq2fGQ/VrWQVcNzGX2ZhWlUahYk6Ugj6xh6nuZQJmLSUWBISuzaOTmS7nXJsnwPqAGbAx LOGsOIylzfBdkDn9MMIQmzTfZgAbS+b/PAUmnGKW99S/tEoK7JmCacwWtPS2mBeSO+GAwqbmgfZW dSNtoVJotNlWbbqflLhP2TgsE5oOedtstkqZQWNQRKqav6tvuprpjoWsvlkmZaN/YFDpuYGVhtvT OuV+sLhnfUtmDpHSEnSPEbhJZUu0SCPDcVAZS88Aq02SEXq3EVx0F1ENtybhLJp4XhBagyyV4QLf FHS24yzb8vKDwIsTB+8411/zIwsc1QjBo7+0fQIZuC1nUlw/EYOrFwQKdrpCql/PFK8q+A0fLYMB rwzk24I7c8plKLBVU2Myp77fTh8rdprjCVOGuePiUfd1o9nBxfG2adqLdIn2LKmEKCr0F7XZlrrZ wgzekOtFSZptVja5kJqRA1nO9jcJppLQXqkwaEcptSWxmJWVw9akFDODtUA6HIWQailIe9uAjXEe xY+dVCwOT+fT5fT7dbT4+b4//7oevTCnU+Sq8xmpcAF+lPI2w2FuzpPXd+xVUtXlQMB/q5K8h84i OMdv2YrOvlNP/n84lhfeICuijUhpCYzNiYuMxLgno0yXkQgjk4l4GveeEd+0WuIpHE6JPd7GN2oB CivcinqVFrGkuPttQKOrGbFJVjqeAZ9H0yo24AqaxVPH3K8iptuDqisMHzq+hwF9FLglkQa/4//T dKYaG9CZMA4EQzTi9WUA1+Wq4QuQ3+KzcnS57l4OxxfVMzh6etrDZfT0tr8qCWMVDKc+7l5PL+yd vjVpeTodoTqt7C06saYO/dvh1+fDec/jhkl1dntP0gSuLRietoDWP0Zt+bN6+Za/e989AdmROqUb htS3FkjOdvA78MaSecOnlbXPvrQ3vUUQ+Xm8/thfDsrrsoGGpzDaX/91Ov/BRvrzr/35f0fZ2/v+ mTUcy1+j76w/UR8J26b+ZmUtq7DcSTRF9MvPEWMLylBZLE5TGoS+dAxsQXpMu57NTLVyf9f95fRK 746f8txnlL3eClkMirzmbgTdRhEdn8+nw7PM3xzUC36ynVXzaFqWkkJ8tczIIyFVhN0pCrY/lUVV LuHKIGzjhbYRMgjz/VJgknNYu/tsaS/qstAR0rtiB2QvqWKnewQagXjAlhVLz6lVqGRC7MB19KAD 19m0jnjyBnUQzFgiocnCsc6Zkze3BHj8xw67ilgwF24StLv8sb9ihiQKZmhklqV5QusxmQU9UBU/ 0j6NwwWfgWTuWH7Tn5d5MsvQ4ybPi50Lxx0G4YcZBfFAqmzZKie5BGDpzsnp4ywFcx6kFoYX9JpR lk9LbCTstCvG+Kj3b6frnnquY2/SdUqV41Vd4kIAKcwrfX+7vOjak7qCS+jAM+wnO7mrsCVRIe0Z WXSRl9rgD+zQzS/k5+W6fxuVx1H84/D+y+hCVVO/H54EvS0XD2+w4QCYnGJshjE0t4M5n3bPT6c3 U0EUz3eATfV1dt7vL0+71/3o/nTO7k2VfEbKaA//V2xMFWg4hkxZ5JZRfrjuOXb6cXil+rt+kpCq /n4hVur+Y/cKwzfOD4rvF1oJl/ieNzeH18PxT1NFGLZ/GPlbnCDcUFnYnlmdYmnH000Tsysxn8M/ r7A9tYoZgan6ujg5Szv7LYqxR76WYkaiiSderVu4rNxugUJ2TLUlmmbERaOEDgRa/kwRFaJhDFoK NVRiB26WchyDFl434SRwI6QpUvg+6nbS4ulLkmqNNKCAL+BfFw9FD1KqFpQbmTh/NIMbXLFmYoip AQZXHUntOCBMiiSZhKviPiOkDzZtiFpMJtMs8bNsxsjljrf6Y9hQ2yFIWP7njKBl5NF2zcM+T31D WxJH7i15uKHW4PiupDJnQz/TNZyKNC2bdl3pT5mbXAoQ0wL664EIDkzhoadFZIvrCH57lvZbSSVc xMC+TL2e41CZPokcOb5KEuFxTYEp6sQSYrcygOgXIjz78obcRJ1PGoeLo6JNht3B7zYkEdpgP9VJ u9vE3+5sy5BTpIhdB814VBRR4IkX4xagVk/BYzxAfRGFkrkhACa+byshplqoChCdqJkDuhzxfxOP HVTYkeYudG3pXYyCppEarOA/uSgP90hrYtdYNwDlTGyZeYOxBTfeGQ1VDZeKKM9TzEsE6CYT6YGx zXyhRJmX0GGoojutAvUvs2wWxl+0J9gEKNvyZDsqNU3P5QUYPcOIYVcYQEw0RHcsd+xKgMlY9CKi OQc9R/piRbrcfrf1QQ0ELBGFYczLaBXwp9FuX2ebF2wrfFwtlL1QrOkGrWq7+6i720yZiQGzxtse CAAvzEvDAFZoxwqMwNIU6Np3l03X7r+rkmGeGXBYe8Y0OgKyPfy+v8JRSJLFiyL2HCleikDFmf/H /u3wRFUb+yONciXI8SaHaa4WgwGLhEi/l4hpy7RIx2gu+jgmoex9l0X3hhj/cDsILCmtVpy0GQEk ScCghiypDEetq0QLWdrfrKaWYGReiX5DpCLiz/X3cCJFBdNmiRseH55bANNkcP8dyQS52xP4dq28 wshocRfurHfQ+sXduyBD/qwhRh0hVVeu79NwjNaQ0nGgUSrEcWIsz96jjoaYYpyJa+18a6xoo3w3 xI1UAOV5mG8LIPyJU2+nERE2HQZ1awkwDsfy78lY3ewS4nkOZkpQjB1X9KIFIefbgSTjvMCRtrCG aoxj3w9sdF+6OUe9Xvj54+2tc5KSzLtUXOshQkNzHp9+9lrJv6iJRpKQ1olR0DrMqU5vdz2dvyYH 6vT42wfVwuraBwMdI6x+7C77X3Mg2z+P8tPpffQF2qHemF0/LkI/xLr/3ZKD48rNEUrc9/LzfLo8 nd73MPGKIJsWc1vy6GC/Zf6ebSLiUGdlFCbTCgt3/liX/KjXb2Ur1xKvUC0AXU28ND0N4ijqkKWi m7mrhAkzzwAXUvvd6/WHIN476Pk6qnfX/ag4HQ9XWfLPUs+zPGkBuJbk2t5CJK9CtE4BKXaDd+Lj 7fB8uP7UP1lUOFL6gGTRiIeMRUIPQhsJ4FhyWA3JQLPIEtzUZtEQxxFrZr9VSbFoVnhmwiywxMwY 9LcjfRxtiHyxwyq7Utuqt/3u8nHmkdY+YMokrs0Urs0Grh3Un5uShIFl2gbvis1Y3nSX620WFzQb t6kMJQGuHTOulW7dIgJh55wU44RsTHD1eejGJHBzKuY6NLCGsDt8g0+L39SiZLWxLTFAQUTjFsm/ aThSAVAlZOLKMTUYbIJehCISuFKilenCDsQVT3+LN9e4APpQ+goUZIj6CiiTESWgxmMfd+SeV05U WagqhqNgyJYlaiJoAje4SeSyEfiQENiZWPatrNmcRIxAxiC26I0n3opzgsKruhQ45huJbEe+79VV bfno6subWkohlq/hQ3viQzFIKU+JxMUhwjV7WUa2lN6mrBrXEuutoE+OJcNIZtuuK/8WdR5wS3Vd ke1gHazWGXF8BKQu6iYmrmdjJxOGEQMx9YlGYe598WLGAKGkHqSgIMBYBDCe7wrDWxHfDh1hX1vH y1yeSQ5xxSCdaZGPLVeOz8lgARqFOB9LGp7vMPGO00Y3a2WELAO4rcju5bi/8hs+snHchRM5SnB0 Z00mqKxoFUNFNBc9GgegphyJ5q4pbJXA0bRo2pRF2qQ1nA1QXUrs+o6YQ7qVlKxV/EDQdUhFdwxA s+CGYohTBSFL7A5ZFy6aiJnD5TKPUREtIviP+K60x6Ff5L/66GXvr/s/lQOhBG93xKfXw1H7qtj8 ZssYbtXo/GLkXPu5rcsG8envtyKkddZ8ZwU8+nXEo7C9no77gd3ox1nUTVYICljpy1GLzLpeVY1R y0rffOkLbkdg1DuTRzIjOFU7DLyz7WZ6hNMZjwF8fPl4hb/fT5cDs8XQFhHbGzyarhYV2a1fCzc2 pbbg6f+39iTLceNK3ucrHD7NRLjbUmmxdPABJFEqurgJJKtKujBkqdpdYWsJLe+139dPJkCQCSBZ 9kTMoVuuzASINZFI5OJu2V9/yZHcnx5f4eTfMXrkk5kTc64GduGqnk6cqFZ4LTvwIkMC6GQiT05T ZSjB7r2veW1j2w1DTeW2LK/ODw94Ed0tYm5VGAMXpB+GlUXVwelBfkF5UzVzdeL429NpZwtguG5k rwpjC045ptljWNauG1o1EbIzjSsMSsrqiKvskErt5reX5LfKjlyi+sRVIOrfXiGAHX3ytw5wxSkv 4+bEyde+qGYHpw4vv64ESGCn7OQHUzKKow9oqULZEz2nHGQ/uY//7O5R/MftcKcDOd5uOf6mZaeT A1bMSROh0FlLditXrxodzlh3msox+FRzNJCiGtRazd3w8PXmnF8hgDhxJWMsy+YGAHHgyBG8V9nJ UXYQiP2/GJP/X0sjw8O390+o1WB3meZ1BwL4s8wdbwWyORDFLfdsc35wekjvyRpCeVKTg1R+6v12 VnIDfJ2dd42YJXTsuJ6MNVVrx7PSnKvqUodpCQMk2Kza6pIGXwjoh3GqRLzsXItarV0FTBk3WstK TExq2ZBENEGzqsXVu/rt64t+zR/b1AdX0JZGw1NnFOfdElOxtnU0c1Hwo6s2opudFXm3qKm3vIPC krSX7ueHImgtFYvKcQZoKi6wQB5Hjs9hHHVZxT9uKBF6Co1mbJbXF4kq04S20bdrSwRJf1mscpl7 P42AQJvVg/H9ok4E1w+bPFaiPRAxUzMlVa6j9Bhdzfrd6/PNrWZxxCp7uMpwtRsJoSFukRbSXbDQ vG4ZaOU6pA/w6YQ8TGMHpV514Rgy9J40FciV1VTOYSxjQwYRPYIuOFdSXssA27/8VEpnZmurzJX8 dI1KXkwFmdL4ZM69KNZpSRYC/uqsFZ7ja5OledTyduVaKIV/F14aNGIy3hYNa9eQO84Dxm4S/SnI wvWsaIyuevcDOJbebm6uAoGnG5xsINlWQvEeX4BLy1zvyx4iN82so+5qPaDbiKZxkr9ZBMiyGLYp 5kbU0tQyblXaXDnVHnVzRy7qQXyFAZWtkv/qcVj38W/Vffw7dXuODBq2bIu00SmUCB//EiWOXIG/ w801TkYexSJeECcqJdFXDzDUbGUAAqnroU3IzYSx3fyiCVjUJkDZ82Nez7wxLWMD4+7/Td9m0jYL +8UcDGS6c3pDXUzMxUCq2gJTSAJVPwE/XRI7X95HRA2DxW/TsWo571Zwck64qhVpNjkI85k3bxqA ns/OBuvJhg3mgYfRClHhrtIYM3DhJ7T7TFp8MZnZnOhmfYVop41if8pGRLkuC+n3iG2f3GB8A5eJ GIiJH9BhIjT6+TSTHSJAuOb3hSxidVX1zebAcGZcOIsTsDht7LqZ18b50JFG9vgjpgY35Vs9F2F1 l23Z8AZxGoOG7+i6bM4LtHThTCSQMm7IwGKKzXl97EyBgbnT3WKgJwKIAcA4zLGrtoRhy8SV840R hhFzUgUrqIM/4wc4ApGtxRU0DMTUcs2SpkUiNywml9Dzshq82OKb27/dmIHzWnNKVkbpqQ158geI Xx+TVaJPyvGgHG6H5fnp6YHHq76UWcr6Al4DvUvaJvOAmdp28N82qo6y/jgXzUe5wf8XDd+6uccr 8hrKOVOz8knwt/WVwyx/lQDh6fjoE4dPSzQnhwvF5/e7l0fMSv7H4XsyxoS0bebc3VQ332mQgTBf eHv96+z9IAU3HifRAO9c1TC1diSgfcNm7j8v27e7R8wBuWWkIrTN59e9xsSLNEuUJFxmKVVBh9fe BAZxDv+MZ529BYWNGKYQXROR40FNcPt11lKpM6VOHcEisWNG3uv6U4oLFyDm3hhLzS19ycgCe1dj ngcvvKrgt4lmRGCR9PiQBoRn77T0Mdn1L/NB/PAgff0HAXwNzF8OlsxE9rF4dCQNT3aHrG7zXKgr tnwgXjkE5CTFVy/4U4e1XGcpn7bRoLNr3vnHYLVqfB++jVL+BtS3MAfm0BXlhDk2JapUWk4cpZQM XXLDThrcXKzKVnk9shw0SoOFbWGYGE4UMeYCxhHdUxqHa1x6AxTHmAPXTeJwcY0QOKZ7MjoPxYPL 0IDZc3UY+9Q2C1k0aSxciSZWIncPFwMxUtOUF1Z92Yp6wW6b1cbbkXlagLDGQboCGrMiIassS8r9 nV95dV4Wm+Ng/gB4OrWZ1VjneHHRMHS1Q+P9qzDO1ARd7k5jUE3ZcM5mhgz9OXRxewLUjRNmw/we jrIlOlZFV3DB+Hx4MDs+CMkyvG7bnR/UA+tzH/J4L3IRj+h7D61Th45lx7POoHGpD3ju4DNke2rw u2aHZLoy2ldLzVRMe81VytCTgfidEnRsft3soMnvf/zn8X1QKfyqy4w1rzUE2nHPn0UlnKATPTTK uGUOssHK2WRtyCENL9HHHDsCrT0cObFNlUGFFrYn7spAMq1bGEiuU06xD/eedamWUwJQLKvFlHAQ pyw3ARlXuBeiUEra26kBC9ckVZd8t84rnpcVGZkk+DGuHCJQE7SVyDuQyB19MsV9OuIyzbkkn8g7 n4M5owZTHsbRRXk4zjnDI/k0VbGbZMXDcQ8wHslssuKjPRVzVjweyYk7OQRzOok5n2jM+dFUmfPJ IT8/mura+fHUd84+HfudhksnrqWOu4E5ZQ9n0JSpZQVI/rkeqXSMokmsbcB0eUvBPZpSfDChFjE1 mxbvTaUFn/LgT1Of4UK/Oz084is8PJ6Ae+1alulZp/yvaygXnAiRGOALJBIqdVlwLDHApbtQDLxo ZKtKBqNKEOTYuq5UmmVpHGIuhMy4r2Ck22UITqFVJoCejyjatPG7PvQOGrVnAJpWLdN64TYOlQ6O ki7j3sLaIsU1Tg5LA4DLjcpFll6bCMU2Whh5Biu7tfNE67ylGH+P7e3bM76oBxHPlvKKsH781Sl5 2Up8tul1+ONZL1WdwmFXNEiIQaNYywqM0CsTUzM9mI2Ws8ewOxAQXbKAm6Y0Qcx5Kns36RK46uun 5EalMScPWUoqguh4DDpJTCFNnETU0HUiA1FdR7egUf99Mu4baDUWawq8Ig4ZW/ahu0o0i8/vP758 3T18fHvZPt8/3m3/MDlThnPWCuxjdwVZ9Fmdg1j3ePv97vHfDx9+3tzffPjxeHP3tHv48HLz1xYa uLv7sHt43X7Def/w9emv92YpLLfPD9sf7/6+eb7banuUcUn81xgE993uYYem17v/3PR+IHax4fMQ dCpe6ks38TdGhNZgw0AOjaf3QkuBD6IuAUkHxH7coqfbPvgu+QvdfnxTKnMbI0vBhA903VMNLJd5 XF350I3j46ZB1aUPUSJNTmFRxiVJs6ZXfjmogZ9/Pr1ifvPn7ZgrZxxiQ4xPASZiBweehXApEhYY ktbLOK0WdJV6iLDIQlCmRoAhqXJCqA0wlpBcqryGT7ZETDV+WVUhNQDDGvB+FJLauH0T8LAA7mnK 4Fz6LklrEWWymw7t6BWQm0aJkNwlvpgfzs7yNgtaU7QZDwwbrv8wi0Xrc+IArk+bfulWb19/7G7/ +L79+e5Wr+JvmIvlZ7B4VS2CepJwBck4/JyMWUKV1E6AWbtk8wkvib6rrVrJ2cnJoSMwGRObt9e/ 0dby9uZ1e/dOPuj+oA3qv3eYX/Ll5fF2p1HJzetN0ME4zv3t3V3EeTjWCzhFxeygKrMr7UUQbtGL tD6kXhK2Z/IyXTEDsRDASFd2QiLtlYfnx0vYxigc3XgeBV+Km3DVx/T9f/h2xKz3jNXa98hyHgVV V1y7Nsz3QBxYKxFu4GIxjKZfRKDar2nDuUEl9jBoCwz6PDFmGJHWL7zIBdNirhsrQ2nNgLcvr+EX VHw0YyYGweFHNiznjTKxlLOI2Q8Gs4eBwHeaw4MknQeVXrCfmly4eXLMwBi6FJaszPBveATkCbqw BefQQhyG+wG20ckpR3vi+gONCC7AzcA3jsKqGpBMojI8vtYVfsKe3runvx0z9GEj18zmxnDl4Sot 2igN17tQcTikILSsMdhYQG0Rgdu4nWiRS7goCQZhYtnlrtJ+wIVTiNBw5BMZdmGu/zKzsVyIazYc uccnw0mRNEPQAFSVE7p7mNVwABsZDkGzLucps9h7+Dg6ZsYf75/Q4tsRhIdB0ErloCbnGaeHnR2H Gzy7Dlus9cMBVL/19LaW6ubh7vH+XfF2/3X7bH2yrb+2v9bqtIsrxb6H2k6o6MKL8EsxLPszGMMx /G9qXMy+KxKKoMovKSZgk2gTXF0FWB3SHiVifzItwrRmEjtIveHiHGi8UZqkQ7l6unMDmSy0BFhG qGdvJDNSeD3cw6yxRxiW3r86/Nh9fcZ0qc+Pb6+7B+YYy9KIZUgabthMcI4D6penBxKZrTrkueM+ YUh41CCR7a9hIGPRHO9BuD2tQADFZ9zDfST7Pj956o292yPTIdHEcbVYM3x01Ykm72NPTWONsBzs tQGPXzw45s21CLGxmvoVlcgxp1ncXWzYoEX1VZ5LVLtonU1zVREOSJBVG2U9Td1GPdn4ZDESNlVO qZhPbk4OzrtYQtvn+OIse2tg8j61jOszfORfIRYr4yg+2VD0E1i87GBhosFJL1AFVElj4KdtLcY3 b7Mr0U/9L32TMOm6X3bfHowTxu3f29vvu4dv4w4170VUTaacqOMhvv78nrze9XhzWyQDMqUrK4tE qCv/e/xrHVYMPABTdtbNZNNGCs2f8F+mhdZg7DeGo/eYmmJjRotSXY7ftpAugjsqnEiKhFLFNLdC ddrsyH35FVPWmFEKwh4GQicL1zqXFBINxdLMMZBSCWUVmBdOwvU6jyTNMGLUliIL66zi1LdRtygP DAI63C7hKHRAh6cuRSjDQ0VN2zkykXejgJ+j+tjhJBoDO1VGV9zjjENwzBQVaj21Ag0FDDdf76kj /vgHU8y9IAJ3De9Q8dn4y780iTZJm5Ddw3JJytwdkx7l2SIQKDpr+HA0zsFT2hUEr8055UF58wmE cjXz9hSeIYVDzbaPmk54YI5+c41g/3e3OTsNYNojqgppU3HqTGUPxmzfDGsfkM0CdhRTDqNyc5FI enQUfwla4E7o2M0uuk6p9o9gsutcsIjN9QR9OQEnixqulEkH8l/p3NEoFF9GzvgCWOsUCkpRpuAX o7go9nyp1EpkHd526aldl3FqrKeEUjRtDOwmZFLUnwxBiTNauejt4XtAge3RmYJEpcVc+i2FOVuh Cq0xR6L54IfvVlmURVwu9KUAA0VWLhZl7MAw00F0Ncf8bbOYo6S+yMwTBvnSJeHnReb6N1gmLpoy T11ull13jSDqL8wRAyIjqSyvUseuL0lz53epc7tewPlKA93OSxiM3rqP+DAg9OwfOu0ahIb1NeY/ bmgnoSElaUhrEo7Zd4+REPi2M+r41FZc0EdI4uHsHebuc5OVgjT06Xn38Prd+Pfeb1/oIxSxcYaV uux8+1AXi4mnHZ29sWnCePgZHO/Z8MDwaZLisk1l8/l4mJNePAxqOCa2v2XZ2BYkMhMT+Z+uCgFr YtJ6ycF7ubFAMo5KFJ2lUkBlxOZ+oCcHb1BW7H5s/3jd3ffi1osmvTXwZ26oTQvwnsn5hSj4frcW qtAGg3QlVMA10Ks0rykfEom+9QKK8AuJzsToKwGsgG6BfpcaZx60Ks9FE5Oz28fohnRlkV35dQAL iUFGb4u496RJMVTKjGwn05Oq1ByQL76WYqmDJcdVS8f8t0dVD6tWyOxu7eJPtl/fvukUFunDy+vz 272fx0wnhkbpWnGRyPv21UGLa82p1p0ZUG820RwsrQ1Bjt6a/Bp1a5q0o26jWvCRUX6rr27D0RlB BmsAPQrshap/Bx4qc/gC7k64/WCkTtbBy1SHZJaRe90dUFZBs8eiUt8UyxQzrRcXYVVlhH5obDpA s7AzegL0MP163iKXIes8XuD5rVGySEKfSFN2xclPBlXoJA/GZThYKyZYun6CJ8wy1ofwUsDcMtoQ g0U7R2T5RaldEzFfFeaFtCa27sP9OGF+w+tF6i5u80SC9O/Kx6eXD+8w+uPbk9lWi5uHb+Q2WMGX YzQdKB0RwwGjp3BLND4GiadH2TafSW4tTISOhgBtBU1rYPYmbCUNslu00PlG1EuWaH0JDAnYUsLm X9HKBPMtelLu77Ux2AEec/emEw87e8CaOTBof8Sx60spK+/+ay7e+Gg4btX/fnnaPeBDIjTo/u11 +88W/rF9vf3zzz//JzwnFIhibSM3ciJhoZnvPrfJHhKmEvc769qzqzVwI2rB1oLOTRbu/TCN5tcm WCRXJfTfhJlvWmVe6KlWeL02bRsKcsqSeB6Wt5LQ/2F0g0NYXcKNkTWs0icf8C1Mdw3CNbALc4MN R2hp2BLnAIXWT4YI/ltJFZVaA0J243fDyO9uXm/eIQe/RcUNzUVqxjd1r1ear/ZAfymwwk/Ps1B7 5eRF1FwVbjCiESgTYWSs1DUS2ttM/+OxgpEqmlRkYZANFbfO9rK7lk4r9cqIW5h20Zt0sAsbSWhx zmkjbrU39lgTkZ0AB4JHp2WkgXfNDr0PKN7RFnHyknFV0w3XNnLdhdLh6IHTlwl7nLtj4s4WMDsj JSkrHzlo4xQNJzPe5OhtQ+RVRt8iDMCu0hCOWTGciEIG3mcO0kl7uR1pqMwvakk/IgrN7e0j2v3p 2Xdu/lG6x4D9RHwdQP0F6PP7WxD2Hn9sP7++/qwPPhyezw4OqMtpm2VTYv8ivVhUqnSzzBZlLxV1 xudivGokubUkYufL6wS9czXbl1fkP3i0xI//2j7ffCOB6XSgBzrKJvKDbjXrIzBGhhiH1sDkxoyw z0cNVi/lCaMmu//xmqMD91mv/tE5KOeJHPtc2eCTBUvHXWj2RBAQaYYiG1sqzYw46KkHvOoGW1FK AUVzsZTWtNb/ZKfD/Ond/uv2MveBXlQDAS0uV4Y/dFQpp0D8R301ToPJmFe0tA3ZMnHD8wwYI8Gg qr/mfQk1QZ4WOkExiWIl+yJkD4Foa5qGx2rIXSPUR01yTard8syfqT7LY6jA6JCf+gvTKmv2HfDU mtMvr3u3kJukdcN+uQS9rsSY/LKW0j1VbXQubuklIBo3m5tLoPUP86lqB8WNW6htU+7hWuM2Ru3n 9xPjGczhcjhVTKGyvUEG5U2/q4TXoDQRQZOyJXensZ1Agd9vkX5fnzDHNuWqeVBIP1otSn3bW3G7 LIVbF3yQUwrqCuapykEEI70Eap1cMOSlcD0qWzwpR6bJP7jFTcYyVvP+xiLIU1ewMOM8QYL9n4Vm 116tZli1Ksvfw8Z+vTfmdza9zGMBy9AbJn2FTb3xsAUQPjVp2iwcGawj8kOhUNpyzcH5cy6wGTcK yP8F3j+pH7lgAQA= --===============1913853616115617678==--