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 47CE7C433B4 for ; Sat, 3 Apr 2021 03:32:04 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 088AF611CC for ; Sat, 3 Apr 2021 03:32:04 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S235538AbhDCDcB (ORCPT ); Fri, 2 Apr 2021 23:32:01 -0400 Received: from mga06.intel.com ([134.134.136.31]:48721 "EHLO mga06.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S234908AbhDCDcA (ORCPT ); Fri, 2 Apr 2021 23:32:00 -0400 IronPort-SDR: ZsuFrtkTfTOINC9Y8J/98ZEBCRtY+gZo+0BfKJ6aKS1/7vIWHYmtC8FAd4i/gLfM1o3XDVIQ7z nA1vthOlKOuQ== X-IronPort-AV: E=McAfee;i="6000,8403,9942"; a="253905083" X-IronPort-AV: E=Sophos;i="5.81,301,1610438400"; d="gz'50?scan'50,208,50";a="253905083" Received: from orsmga001.jf.intel.com ([10.7.209.18]) by orsmga104.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 02 Apr 2021 20:31:57 -0700 IronPort-SDR: rNvzqz3t+U6Tko0tPYdpjfE0wl4k9ekYYEGvLo94mpYyZCBOKeQtW4QwLn1saiBMpa+k96peAE gmMKxVaeAltQ== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.81,301,1610438400"; d="gz'50?scan'50,208,50";a="456660576" Received: from lkp-server01.sh.intel.com (HELO 69d8fcc516b7) ([10.239.97.150]) by orsmga001.jf.intel.com with ESMTP; 02 Apr 2021 20:31:55 -0700 Received: from kbuild by 69d8fcc516b7 with local (Exim 4.92) (envelope-from ) id 1lSX0t-0007VH-4O; Sat, 03 Apr 2021 03:31:55 +0000 Date: Sat, 3 Apr 2021 11:31:17 +0800 From: kernel test robot To: Christoph Hellwig , linux-xfs@vger.kernel.org Cc: kbuild-all@lists.01.org Subject: Re: [PATCH 6/7] xfs: remove XFS_IFINLINE Message-ID: <202104031134.aKlv2gye-lkp@intel.com> References: <20210402142409.372050-7-hch@lst.de> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="+HP7ph2BbKc20aGI" Content-Disposition: inline In-Reply-To: <20210402142409.372050-7-hch@lst.de> User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-xfs@vger.kernel.org --+HP7ph2BbKc20aGI Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Christoph, I love your patch! Yet something to improve: [auto build test ERROR on xfs-linux/for-next] [also build test ERROR on v5.12-rc5 next-20210401] [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/Christoph-Hellwig/xfs-move-the-XFS_IFEXTENTS-check-into-xfs_iread_extents/20210402-232422 base: https://git.kernel.org/pub/scm/fs/xfs/xfs-linux.git for-next config: microblaze-randconfig-r036-20210401 (attached as .config) compiler: microblaze-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/3a376a77f4296e338a26df75eb05a1b7ae0def2a git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Christoph-Hellwig/xfs-move-the-XFS_IFEXTENTS-check-into-xfs_iread_extents/20210402-232422 git checkout 3a376a77f4296e338a26df75eb05a1b7ae0def2a # save the attached .config to linux build tree COMPILER_INSTALL_PATH=$HOME/0day COMPILER=gcc-9.3.0 make.cross ARCH=microblaze If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): In file included from include/linux/string.h:6, from include/linux/uuid.h:12, from fs/xfs/xfs_linux.h:10, from fs/xfs/xfs.h:22, from fs/xfs/xfs_iops.c:6: fs/xfs/xfs_iops.c: In function 'xfs_vn_get_link_inline': >> fs/xfs/xfs_iops.c:522:9: error: 'dp' undeclared (first use in this function); did you mean 'ip'? 522 | ASSERT(dp->i_df.if_format == XFS_DINODE_FMT_LOCAL); | ^~ include/linux/compiler.h:77:40: note: in definition of macro 'likely' 77 | # define likely(x) __builtin_expect(!!(x), 1) | ^ fs/xfs/xfs_iops.c:522:2: note: in expansion of macro 'ASSERT' 522 | ASSERT(dp->i_df.if_format == XFS_DINODE_FMT_LOCAL); | ^~~~~~ fs/xfs/xfs_iops.c:522:9: note: each undeclared identifier is reported only once for each function it appears in 522 | ASSERT(dp->i_df.if_format == XFS_DINODE_FMT_LOCAL); | ^~ include/linux/compiler.h:77:40: note: in definition of macro 'likely' 77 | # define likely(x) __builtin_expect(!!(x), 1) | ^ fs/xfs/xfs_iops.c:522:2: note: in expansion of macro 'ASSERT' 522 | ASSERT(dp->i_df.if_format == XFS_DINODE_FMT_LOCAL); | ^~~~~~ -- In file included from include/linux/string.h:6, from include/linux/uuid.h:12, from fs/xfs/xfs_linux.h:10, from fs/xfs/xfs.h:22, from fs/xfs/xfs_symlink.c:7: fs/xfs/xfs_symlink.c: In function 'xfs_readlink': >> fs/xfs/xfs_symlink.c:107:9: error: 'dp' undeclared (first use in this function); did you mean 'mp'? 107 | ASSERT(dp->i_df.if_format != XFS_DINODE_FMT_LOCAL); | ^~ include/linux/compiler.h:77:40: note: in definition of macro 'likely' 77 | # define likely(x) __builtin_expect(!!(x), 1) | ^ fs/xfs/xfs_symlink.c:107:2: note: in expansion of macro 'ASSERT' 107 | ASSERT(dp->i_df.if_format != XFS_DINODE_FMT_LOCAL); | ^~~~~~ fs/xfs/xfs_symlink.c:107:9: note: each undeclared identifier is reported only once for each function it appears in 107 | ASSERT(dp->i_df.if_format != XFS_DINODE_FMT_LOCAL); | ^~ include/linux/compiler.h:77:40: note: in definition of macro 'likely' 77 | # define likely(x) __builtin_expect(!!(x), 1) | ^ fs/xfs/xfs_symlink.c:107:2: note: in expansion of macro 'ASSERT' 107 | ASSERT(dp->i_df.if_format != XFS_DINODE_FMT_LOCAL); | ^~~~~~ vim +522 fs/xfs/xfs_iops.c 512 513 STATIC const char * 514 xfs_vn_get_link_inline( 515 struct dentry *dentry, 516 struct inode *inode, 517 struct delayed_call *done) 518 { 519 struct xfs_inode *ip = XFS_I(inode); 520 char *link; 521 > 522 ASSERT(dp->i_df.if_format == XFS_DINODE_FMT_LOCAL); 523 524 /* 525 * The VFS crashes on a NULL pointer, so return -EFSCORRUPTED if 526 * if_data is junk. 527 */ 528 link = ip->i_df.if_u1.if_data; 529 if (XFS_IS_CORRUPT(ip->i_mount, !link)) 530 return ERR_PTR(-EFSCORRUPTED); 531 return link; 532 } 533 --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --+HP7ph2BbKc20aGI Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICLW6Z2AAAy5jb25maWcAjFxtc9u2sv7eX8FxZ+70zNykkmw3zdzxB5AERVR8CwBKtr9w VJlJNJUlX0lum/vr7y7AF4CEnJw500S7i7fFYvfZBZiff/rZI6/nw/P6vN2sd7tv3pd6Xx/X 5/rJ+7zd1f/jhbmX5dKjIZPvQTjZ7l///fV5uzke/tyt/6/2bt9PZ+8n746bG29RH/f1zgsO +8/bL6/Qyfaw/+nnn4I8i9i8CoJqSblgeVZJei/vrvpO3u2w13dfNhvvl3kQ/Mf7+P76/eTK aMlEBYy7by1p3vd293FyPZl0sgnJ5h2rIychduFHYd8FkFqx2fVN30NiMCbGFGIiKiLSap7L vO/FYLAsYRntWYx/qlY5X/QUv2RJKFlKK0n8hFYi5xK4oKOfvbnS+8471efXl15rPs8XNKtA aSItjL4zJiuaLSvCYcYsZfLuega9tLPK04LBAJIK6W1P3v5wxo67JeYBSdo1Xl317UxGRUqZ OxqrRVSCJBKbNsSQRqRMpJqXgxznQmYkpXdXv+wP+/o/nQDhQVxleSVWxFideBBLVhjbXeSC 3Vfpp5KWqOBuvisiob0imzPt9cBzIaqUpjl/qIiUJIgdKyoFTZjfj0ZKMPZ2X2AXvdPrn6dv p3P93O/LnGaUs0BtcsFz39h3kyXifOXmsOwPGkjcACc7iFlhm1KYp4RlLloVM8pRkw/jvlLB UPIiY9StKAgX1N1GyVO/nEdC7UK9f/IOnwcqGjYKwKgWdEkzKVqdyu1zfTy51CpZsABjp6A3 2Y8fP1YF9JWHLDB3H+wGOCxM3Juv2I7tjtk8rjgVFZ5Ebq1kNLG+t4JTmhYSes3cw7UCyzwp M0n4g2PoRsYw7KZRkEObEVlbh1JZUJS/yvXpL+8MU/TWMN3TeX0+eevN5vC6P2/3XwZKhAYV CVS/LJsbPkiEaLABhYMBfGkqdMirltfOpUoiFkISKdyKEMymN8r9gSWopfKg9ITDNEAnFfDG ytPEbnz4WdF7MBiX6xNWD6rPAQnXpvpoDNjBGpHKkLrokpNgwMCOQXVJgj46NU8/cjJKwbXS eeAnTEjTMm2ldD5gof9iLr+lqZ10bhBbxJSEYPoO/bSnVgQxTEWd3dYExeZr/fS6q4/e53p9 fj3WJ0VuJujgdjFyzvOyEMbGkTnVJk95TwU3HVgr8ZNF09YxUc3Q8+z7iAjjlZMTRBD/SRau WChjQ+vygrimFiwU5pQaMg9T4g44mh+BXT1S/pZISJcsoJcXBqelOZ423S8ix4SUV3aZex4s OhkiSd8dhmPw9XDWe1opRZUZvyEG69/dcBAqOZDc556Fl1gZlQNWO/2YBosiZ5lEjyxzbsRR bYKIQtT8LXgAmxlSOP8BkWrXupGGvGo5cwzLaUKMYImGBvuh0As3jED9Jil0KPKSB9RANjys 5o9miAaCD4SZRUkeU2IR7h8H/Hzw+8byZGH1KGToVKmf5xg28O8uvQZVDvEjZY+0inKO4RP+ SEkWWPhpKCbgLy7Ip2yu+aFdq3FsAeAxtAtrG+ZUpuADcT8AUiYu01Q71fDNtlEMxzRxzUPD QCNsd54ODGjhxKqWQ6FJBCrj7vjtE4A9UWnPtZ9UCUmLYwRa5PbsBZtnJIncm6ambvPafhAg RbYpx+ARnd0Qlrsde16VoIq5u1G4ZLDCRuGuwwjD+YRzZjrlBco+pGJMqfS2DalKjXi+JFsa hxlMyLXXSIajmuTEpRS0KpVAmHnbIlCJUL+pqU/DkLraF8F0ctOGryY7Lerj58Pxeb3f1B79 u94DACEQwQKEIID9zJD2gy36qSxTvY9tbHN6PEjNiIS8bmHtdUJ8566JpPRdhyfJjYQFW8Pu cYiqTcZl21EZRZAMqqgL+occDxyt+0RKmqo4gRkwixhIagxqHLU8YsnIxhqN2UlsZ1cM8jA/ IY+GPSA89XH3spARawTkJExKmLFmOmb6CCC8Ck3f2uKWeEUB3ssxAyyP+RxCAqjIcv6dgChT Q6WQKy40fhNlUeSmx0NQBBHGYCirKXbrMxqKd3jByoc2paYJeFlYlA9uJFNJn7kmJRfWn7f7 rWrnQSder7NJD4EXlGc00UeMhCG/m/z7caL/14rc4+bcGyqfACZKWfJwd/X39niu/729ekMU DhwkhhwCn5D87q1OUbKAk/iDouhXaPJdsZAtvysTrzDkfFcsKso3ZaAbsPG7qw/vp5P3T1e9 DY+2UW/u8bCpTyfYmfO3F529WCi4zS0fq+lk4ko6H6vZ7cS0c6Bc26KDXtzd3EE3NkKKOSZ8 RkBOy9Yk/QM0782xPWFpiJUqhBCGB2+od1cbED7s6rvz+VuZTP57Or2dTSZGkahtDoAhoE43 8JayTF9saLAFihzPv7ibWnELYUuokEpuo8j26Kxfd4qASaQ+P+unv9FhP3kbsxrZ6sJbH2vv 9VQ/9SNjVQACoHnKV/BbQSI4Z9eDcwZQqiQJglaAtksagEcFqcngpIIXAf8w+XczaC0VNNI9 /97yhnHHVpn/evLysWMpAtZYt3MnzFZWmXF93HzdnusNjvDuqX4BeYhsY1vB5UVG9I/JUnle hJ6Szcu8FGNXiiWZCoERNjeRuyr3Xc98Jqs8iippGW01JzLG9CKvOMnmdNBsRSCwYkaiC1Rt +dKemZIUNMAoa8VATXLVQmWuajrGVPKwTKhQXgQRI4IZI3ed69ptApE+EXez8fAxEUaCCSk0 HjWIJivCQ3FtcDQS0OpAZGhHR1ADjSAEMwQUkbkHGH9MoNHV1eZBvnz35xrs2vtL29DL8fB5 u9PVoU4ZKNZYqEMh7Rq0mI73tGpxWxvo3xppiAa+Y2tGKp4iyjYzUhXqRIqjT+39QaBdqZxG jrZuSNCuqkKUaRpFwyyzIfw0JRo7c+LlZiI86ErmJiTu5+mi6Tk5poO8Qcak3dxB/Qbn9qU+ e+eDd9p+2XvH+n9ft0fYhucDVl9O3j/b81fvtDluX86nX1HkHd7jmNtvjCNiMr20cENmNrv5 Eanb335A6vr3mzdUqWVupzOnytTJujp9XYPA1YCPpwm8sXBotGWpjP3y4J2YmaQ3PITNgDuY EAB9+9pJxVJEgNagkrMUbAq8R1gtMCVy5aVNXa37CdEgEAxczaeSCmlzsDLhi7mTaN1b9GUM SeecSWeFo2FVcmqhkVYAkfWFggNW45rQr1ywK4VAoZUvhz0DqUo/XZBXtasqEsNGQsV84s7H UUBfuEGWEPCHwomqi/XxrEC1JwGI2IETIjOT6tA2AMPlC1M2J72oYRYizIWLQSNmkXtMNJiK qYH0E8Zxe7eAtmTQT946d8j5uxqrtRKQZLmGgiElaoNcRt5LLR58QL7PZt1AM/zokxNF2EN3 yhHZ1KgdZs12iIJlyqf2lWP6b715Pa//3NXqUtlT6fTZWoTPsiiVGG9dVqKZIuCskDBxmwyn MjCjKqdh2UT/Zv6XxlcTSOvnw/Gbl6736y/1sxMERQmRFjZEAgTokGLNBLCgAXGay0Ym8oTY piEKSGurQqrwrVDuzaCRj27GbNIQNFQY3Ba6aCrF5xR9knXpA2bMybA54jddDzAGBDwRGEAE TbAChOSbMG8hDFW0V7wpaAHGyXRiejP5+FuH6fFSo6AK2VcLo2mQUDh4BEzPzEKIVQwApHmp tt3xTGyERMIpEXcfumJBgXlOZzWPfhmaxv94HeWJ6/A/KtwB2jGFGxoie9f1kka+uAtYO1hY mwAqQA2oizNzjfOyuHRRv0Clqkt505wvW2yv8q4qkdXnfw7HvwCYueoSYEELKp0eFg60q+B5 HxbqVoHaizDIkMUTdwkS3IN7LKDjSwmE6SnhizdlivhBoWXQY1oMClG9KIBWaZekO6LT4ffp pkwdPQpZGH6HsxDSE8MsNKVKeeEOVpodRO5y7jIhWfX7ZDb95GSHNBjorc0DEss24efswpJI 4tbp/ezW1S8pDFRRxLk2p34bKaU43Vs3KsTLHhVP3KsJXPXMMBOYS+f4+MRQNGwGUQHaUnZH bf+6dMWMXiozHVxPVr7DcHWtVT8PKcqgHWRwzQUmdgZLRWxXVzajvfx9NiwWgudCj2Qi2MJZ qdf3aXHfPhaG2j5xaVTw8RekUKHNr2SZDWTSmPUyzZ0hDlRwZj546hlBQgAPG6V5JPJ7DBYP VXMv0qr9UzJwSN65Pp3bxLRxbCPWgGE6MaNaRlJOwgtXIoGzfuybEBuL8TTkFoVHuEMWIm2J lZSupx3YTUaLQRMkVWlQac9zuRnm2RBmO6/Vc2MWFjZBWD8TOhgyoaH7EhYxuIjw7Z17HqNY CjQBgExSIQdjtOSKBmF8abBOSKQX3KKsIkpkyek4xuua1+61Ph8OkNA+1X9vN7X3dNz+rdFv 3wWmNIm9nUFq+BDYN5lYv+OA+bIUvpOoLpxFKQqahbbeWwHs3lZHx0rdt5CGBM5l0GtJuHTR qvhmPI5i+IFw5bGGBJHx9cLZaasuV79k/tu9K+Y3CwjS2eT6fqSUgkwn9yNdRqjggegyVlmO ZZF8eSHBaxbhLmteMox2vBXjNNHVgNYRRHOMWVPD5yaKoLAXpPn2xXgjjTkxTXJEryvCIcWZ u89WJx9QcPTtxVmVZ6XzDrCVxnwfZqoujQEkczoP/fGUVSWyqSgrEfjx4Fhah8ULN3MIlbs5 85AYl1njRa3cPiMlwUClLUXVD7kRdjsGDzBJEJKbZ9bkdvnEj0jhI+L96Xysd9XX89VIEEBi 7GiPHtJBHinI7Ee0mF5D+j5AW61BMivf0BSCf1XFAsp9cwFgPPeIFsz5VALj6kcjCujffX3A Jg9wTUBYZMIn/H05p0Im9ANmb2ABJFr+Movsh5gR7AibM0mcswduFjBzDg2pQq9zoUVsFkSQ IOIwCXoQsT560bbe4T388/PrfrvRFzy/gOh/Gq9gZTrYBSoMb21g6AujRmExnCeQKjYLLjQo stubG3uiioRNRuTrawepshxlT8YOTIXr20tIbUNbuiOPh0TnOugDKKOt1FQ9nrV0IWdT+JO8 sX4I73pvRzRXh9l9MVS+PeB1tOLZ7XA8Awf+0LYb+a2AJNH5lggPC4uMykOyAkicmQ4nIizJ lyYeozKWeZ60cL21xlAHoXCITtSdkFXZG/5onl8LJ3H8AhWZ/SuanqgqPrpGY94MUnLhDaLi icKV6SKrKmRqD5oKNiI4n4+3PHWLFME8MUEaLA9j3pA2cFpIAptWpRaaqQs3xGUDTcjSNy0M afjMSDqfzCBXV14MAsuXNgGSnQGB6BTH0h2mOJhBUbzGvKhhJdVEqreFBImc791a/oXnewaf 8hn+x/2cIJdFUirxcYUcaJvD/nw87PDt7ghgowoiCf+dTiaDodVXHa2NXpq9vpseTVo5LfzG QXXiuNLHm6sV3tLjBIMD/EW8vrwcjmdrapA4rOyDAATV5ZhaJOQCtW1gT7FlUnfyogydCvvS oXNUby1AV50Pf4Kmtztk18MF9pW+y1I6tq2fanyWptj9NuIXDC5lBSSkVnnXpLq10DI7PV02 ZEuUuhIU1NkfH2ZTewaa5Bq+4Qx3oP2e4LuL7+5e3EbeHQC6f3o5bPe2uvD1mXqZbE+2pTZv b6OBQ6HggIYJc0vPpO9ciDWFblKnf7bnzdfvHk6xgv8zGcSSBtZ905tddNDuPlG1/WeTgFcd Q0LFyUpVrUgWDsJMQLi71MdJwQZ1mf4NynbTxEvjVUvTrtRvG2KaFGbwtcjgl2VsfbsGkFWm ReTKtwB1ZyFJ9CsP4ymj7jBiPIXkjuov20azjbbH53/wIO8OYHBH41ZopV4UmFPsSOoOIIQe rYfTkD90o1lz79upB/Z6iY6F9HLWdXez5cOZdskwvpzBy13jbqxh6XttN29ANRSNmU7I2dI5 x4ZNl9x8iKGpqhykW0J4T/OltSGKS8RDFrQy6ss6xxjdm82ibD6kMIaCFNm6kdO/bXTc0FZG 7tqQ0tRMqdq25tdwDU0EgYHb8UmUiGFf1aZH9tUDMiPlG9WL0stPZ8eHonv71ac0bU4Zs+bo 9smoJl3M7lo++o0WWz7/ZD0W6yB0e/xzwMTqdZsxzjwTzvcw0rpYg59qS8cv9vq78Jf18TS8 zoZmhH9Qt+juYgtKGC8R5IW5ADbTbKM+IbHIEqpvJ95ghYyrNT80DzXeTS92UJVZ86Ta/Hpo LIYJWp4lD5aLHqlB6aGEv0Lk18958KW5PK73p51OdJL1NysE4Eh+soBDMFiLnvmYVPHc3KRI ulN2aSWOMqm4AbSYzedRWGlC/95ORKELE4q0spqqbcqLwdwL/SXQwJa6ZxVwxlIiBvV0/ekg SX/lefprtFufIO593b6Mg6aynojZI/5BQxro73gtOpySykGG9uoKqXmSahWEGnaW4zfNFywT BXwIOA+Stp8+jzpIDP7lYxDhSc5TKp3fm6II+iqfZItKfflWTW0rHXBnb3JvbC4OzqYO2qAX SD8cQliHxn8HYKzYNBQyHNMhipMxtZRsYE9gBANCPiAQX0DgN13fG4aj4fr65QVvnxqiemKs pNYbfOk89F8YnWFxqL/iYs1Y2XT8INKLZqJ0VC3xSSwfnQZA2TBrZyz53mz155z17vM7hIbr 7b5+8qDPi7csarw0uL2dDs6pouFXVhG7t7e4YQ3SeuSIRG/QQA+jtZhmKMMBe+jVZjr26ORx e/rrXb5/F+CKR6UZq+MwD+bXThV+Xzu6DgnA0tYTUhRsGi4R/BbyLqwC4TWy20Xw9T+/QlRY A2rfqVG8z9o0+zzHMS4kYCRhw5EN1rAGcEEqlM4+gkGZYiyR3jP3N8edxLxgrn9VouOjXWOt w7a0Znidvo45hBNBMuec9RlK5ukoWKTb08ahQ/yPYCMLVTwATLn7vrPXIBOLPMPSxmhAGgRg Xl/AoMb5edeemv/MiUnFTC8mAE+z+XcFIM4Gw5hiivlB7LR61wy72iuaulpHUoQh9/5L/zmD TDP1nvWTJKfnUGL2pn0CBJF3gbUb4vsdm52U/iCIA6FaJZWMOf77EUlovUJrBXzqN/9gymwy 5EWAKtJxNEbWPCmpf+noqH6bB49Wy/gB8jjfeQcYSmOf88j8Oz69ktJ6BwxEfHOI/16BRaSE Jw9u1iL3/7AI4UNGUmaNqh7rWdekQLOSnTxS37jwJYIu8wmkZuCDHYuG9XLr8zpVCE7xm7y2 HI5Azv6g7hIBhPsdbmkwGUaSMb3AVxZR7uoELzepfsVivv9VXHL/++8fPrpfrrcy05nz0XrL znI10/Fr6pEHyJYpHRcykapDhuNBtmriQOjYRn16rQoh3yx6RHzwVGJIte/sluqfIeLz4ZO8 9ribU+38petmjYS3s9v7Kixy111eWKbpg7Kpfsdiksnc8rCSReno0+w22wjEx+uZuJkYUBPi QJILfDmCtmnn/zHk60neD0eKUHz8fTIjiflPG4hk9nEyuR5SZhMrjaGZyLmoJPBub90f67Uy fjz98MH1zV4roObxcWIApTgNfru+nZkjhuL/ObuWJrltJP1X+mhHjNd8k3XwAQWyqqgmixTB qmLrUtEjadaKkWSF1N61//0iAZDEI8Ge2IO61fklQLyRQD4QZgUWsoCB1ITfRJpLhfJ1ZOWh 0neSmtE7P4hqhhr9tSdnfT041azmPx6rJ6UiXHXGEQx0d0Or+BLeupuZpN/JGCV6LorcVEdC sdOKwlsyZUWeIil3MZ0yf0J+RrkXu1NfiVraiasqDIIE3/bMeix3H/s8DGZZzqDZKvaVeCeM XdrlWCjDHX386/nHQw2GCn9+Ef7jP35/Bp+dFzjYwycfPsOW+4FPsE/f4L96LJ+7GQjm/5GZ O1abmsUepS4BCzQCh61e0zFW9KTNqD1t79dH+28wjLMGHGkoBJ/QFcTLQFTkdb9cAD74cD0W 4WdRcifYNgzBUiq9nYzVSh54KKtnId4ZssL9pu2MC6yB1CVEDUP9+CHBWiuR3HBIF5RVT6xT ITCP9HdZy6UKJB1mf+Kd9+9/PLw8f/v4jwda/sIH58+azZvaGZh2RqanQdJGhHZEaPRkFX5Z US06/z9cn5vW3gJpuuMRt78WMKNgZwu3uUZFx3mY/rAan/W1bGyrAAeKkmvxE0MYxOPz0Jt6 z3+hCey+A6rQcDLLlVSAQ++OjPXwaFXUabib8B7FtxMxknDxHBvBy7wdtcsRBiEcTDWoCuqw 78CrdRg644IaQMedW8+rF20gd31N0yacDb/+8fUXdjg8fH1+4UL6wyeIivGv5/faIiayICd9 GRCkttuDb2nTt2AuXNOn1WN/SYIcCAWZVldikd52Q/3W+kTNd7gwi4wNQeYNaiuRzldnVjfm /iWIB8xBqdVNRdX01C2uW34Kqs9cWDdIsL4EDiV0KS5TkmYGbZUEdaqwPHgybOeFuw1m4qlK XbZCDTbqNh0rZio1vHoGkcnBlLdndnUL3fKV/FgNwpcZX0QgkxoOiTXT/ZY4uQdvWzaC7k7F tNK/cgG7wbpH/fk4LHwF11biFHYmvYg3qBPHUy1ufq81OPYaZ27IRDgtfbEpfKl4a1BvQz1W locTJ1d7Zv49EDMzoarUKW2tpuxK4suv0BYKR1SDGQaIIVO293fVgN26QM7uyNGp97eNB2Cj 9Y0VOqHOTAZL3ZlVlkFZDMrF1KKXrYjHhTuVtEo7jH+Wn4+5UGvkDvFtzKmxEGXsm6f70HWj sNVkNe7OtKbgoraPQyrnfSh0ohgk6BVBi7nyyjObc14cuQxWi7mF5AQguPHXhu4HqL3YU7DS AQrjCzuMzJ4vqjBryx4uZlAG+Tfs7TYPHEdtkrE1K5owlD1Wv/EzuKa1khgdfcG6BIwIKNKT tqqqhzDeJQ8/HT59/3jj/37WJMI1m3qowJAc/4YCQdHzhO7Wm5/RDuLC2haOsLhZ5NW9uay/ fvvzxSvK1uf+YvprAcHxCzHAwwFud0yLeYnIeLDgiLh2jURawtfZ6VFemC2ay88Q7WWRAX5Y xeJbPjjGV1f7MzMdLDYvkxdldKiq8336LQyiZJvn6bc8K0yWN92TYdgsqdUVJcIJ74ve3j4r T5mALzD7jgyGqeBMu5OyT9OiQJrfYtmtNV+R8XFvrOcL8nYMA8+thMGDXktoHFGYaSLGApTK JW3IihSBm0dZLpsON/xocQEQfmHo3rywjZRkSZghOXOkSMICQeRYxArZFnEUI60KQByj5eRL Th6nu+12bSk+X1eGfgijcKui5+o26k6AC9D1/DTWgf2MizHSssv5iCFjdyM3fRddocvZN4bq t4yLx1vF7PgMT5AWHNvoPnYXeoK91YUnMWxdOiV9GE5YX0nHKqcdx0d+/Kips/zAfNfuGzoR koxFmgQ8k+6k0V1iVvr+yQoIMwN866j5796jeV/4+PGW9GPtGQsIHxcRcX3AykufkEAmMyjc ysW132YeXJrikgM9YZWeMVkUjAO041VjBtvWiiD63COJrWwHcFuH72wWdC6DlYG85PemJH3f VKIcdvH5GEp3eWKT6RPpiT0yoCGUWZj1+RlxHRFwtu1OvbJpmgixy2Svk6rmy0jB7+dsLuum dtnoGASFQ8suWUQUK7wPFQM0r9xLvWKDCr1hpSyKvi2yYLp3Zz6LNz4hGDE+g4uUeZg4IoGk 2t2nsLGtGlhoRB28Ge9bEqaB23pVPAX8ADuO3UbN+R6RZ2kgy+7mIfFdfD+JftrKp9hF6ZKN C+5ylYcjFNEwzov43t8GWVgnecu3S6yCYiPeV1XvcRjQuMqKduXrbFeIrbnBRMZaGHyOFR6i YJGhuLh5VpzeNnucxjc7u7J9d6sgGFhlA08VMe9gJZm2YeBkMlTjxWhPe070LEujsFh5tibQ rcmCJHi1bS7il7e2PWlawrZK1dNDkeaYhlLht1b1tt0IgIjiOQ3xWAQpfBMZlaLDhw6eOIBb 46508y1JHhWBGrfMLXFJdkGavro+AFsWv7I83LggF8Ia4n6GlFMTJ5hwI/G6BVvYi11BLhJF 2c5pE9oSiALpDiRBxleicrhGsBKeNqQEjTNL/2POHONUfENbJ5beSpAMl0JB4RuXofEA2iGI fXlGpVIhadbQIkkY6nVXNHyqSzDGjiQKSty8YuJlTxO7MGk6H0hPz98/CIv4+tfuwVY6VEZc C/En/DQtESSZn4GNs46iUpARbd6m3kuqpnUD+kBuqHIYMKWznXqmJFgrrVLKccyjghbFYVFr eZqZmQzUlI8Vud8jVHlW02t3sRrsSFrhdqiXdqbdz4wfZjHD/ZmhSdYvLsSqvYTBY4ggBy4n hLqpENazy8ULdj0iL3Z+f/7+/P4FHGFsc3qpvFxqcsXaEUIi7fjiP+re91Kd7SWqp12iNFsz b0qhHL2MnR15Ullmfv/0/Nk1ppJCsbT5oUZkMQkUVoRhjay/iIDE0UUShFmaBuR+JZx01t0m daYD3E8++r7JSaxDnW+NkhlaUw0wfGV1oJp0RYqOtNWZi0V7PNl5EP7mWtg1HR3goZy22mKp prE6l7qdv/FtcoaoN1Y0SJ2DsB5CoV1tr3eUWTiTgN3Ma81X8TPWqIy20JwGhi2eRh43I46k CeEtPYxRUUxOGnC5WPV10ubpj6+/QBL+cTGshZrb1b/L9NA0Ta0LcRaw9mJocVDz8ZCVOI9D pH3eMNzoWMGsPtTXjfHLKD1Pvb1cCyDMapajwVQUCz+oZvE0IYVSyOvTR+0Kb0ZyFDFk7DZT uBlfxsXgmCHHrT3qdaY9uZQQPv83GQ98g3NtbpNHbXJ8j1MlsituMmD1t1PwLW0LHnrUkkqC B9bcm95TlBV8vRv4X3xFAmVkfawpX9LdxQnWpXdhnDptwvrBXU6A6G1FmARoj86A0JjI/rSn yMKiz4jF4N3YdOwK0HFo5I2F/d2zNBAprbvvQUQ6s83GVouyJ9qQElV7td1EpNl2o39OkFlL zJgnYF8irqmPpsqDoRE+7iqGyPL3kRk67XP3rms94SkuTeMJ/aWe+eouox68Tj0eAUfPNUzb dXZtRMacCOmLXiPxz6o3brTsF5oMRf6bJl8Iui/0Q28Zps4Cj4xQ5wy7um/ru3yRZ7CowtHb fFVK0sGsUAYoN/pkxUBD73mmRnBJhZgYBMOBoGYpgk83wZIEJoLd6CTxRmTZHS2yuC/oDgej 7Hvny1rf3SAsfan7Ei0k+bBP3Rme0yu6J0kcYoCK4KNtICtG+ZRDDSNWlqnuT4btgFpBT7ea 6h6wcF3KVyatbLya0pp7VUZX10ffe0PgnOL6++pJ7Xk+D1LK//UtXsERjT8iktTMOr4qqqm9 loxw/0qHFDtP6iziTtDJUF7ycsq5Mi8QdPx8uXb4XSBwIRlfR7BoGrrpCcuSjXH8ro8SzwUv 78PmyboUn2ki0MJGGulIsEZIcI47ep/KThgubBSPiUnHclfXzAvpqph1X2poIqGqAacOY8JD z4hHDrD5CyCXcU3dKye2l2kWHds/P798+vb541+8BlAO4dGFKOpF/w57eWjlmTZNdT6ii4bM f756d6jy2xa5GWkSB5kL9JTs0iT0AX8hQH2GjdQFhupoEsvK5DfqClDbTLRvrMALs+3rVrvp X1GxFMzQOotCwywRaY7dXnsXl+e7HMLBc3ztFxXC4oFnwum///HjBY9iYfZfU4dpnOJ7woxn 2M3Ugk6xWQnSlnmaObQiDEOTWM+XCzqN4ZoDDvV1PSVmDmdhPRmZLXa+1mVN+LC62JmzmqXp Dou9q9AsDpA0u2zyts+1xk55CumF0/c6n8Urog//BH9/5SL60xfeTZ//fvj45Z8fP3z4+OHh V8X1Cz++ge/oz8bsv1NYbUx5UA5bCGUoommY5zELZA25+lHX5NNmMONIAlq1FfrUI2CqnAa/ WCvmR6vfCHd/b9t2Qhnvhfl0X4rsKcHwGE92CVjdjh67MYDdV31ULH2+nn/lkjrn+VXOsOcP z99esPgwotXqDrSUFzMYm0Cas0cZEy0+Wr7qdPtuPFzevbt3IHBZFRtJx7j452uLsT4/mTHo 5CgFVzlhQaNGavfyu1y/VDW14arHSPIuRMaUkqHCdIo7AgVJuYs4nSUw8LS5WEaIxggFA1fb Mm9FYAndTDpv+1rVnNrEhpqBQuRsTkMiIszS2U3DjbsKfhjZTNnWfS04rLCtrMePSKz3nJ1O 6Gms781AQj0SuGQ9fo09cDjTAWjvP3+SjjBO0CueJT8dgqHwo5DQ1yGgQeI2Vm8YDfNPA41J SRNLef5bvHv08sd3d1Mce17aP97/G5NiOHgP06KQry67E/+reMCiPz019V68qeaNiA+PA338 +MDnD18bPogQI3zBEB/+8V/63HHLs1RPSR7rdb8KuaOAu/Omc31udcM9jR/ElfnhQzMF/A// hAS0IwZMD/VtrDdUqQiL88hQoMyI0CViG8TM0NI+illQmFoyG3UReBFIPzAv9ClMdWe/hT62 B4QsDQYiM8iewqQKeKPsQl3rFq2jVdONWI5r/D1mO+TL8AN8CP94/vHw7dPX9y/fP2Prro/F LgQfzKczOZIBq3MJx1eHTlmSN2HqAQofsAt8gKbGguoat92KIJy/hWm69A5Pw+Vpt+5gSTpz knp4C23oDlS7TVcFGUgd4uVjP0zxCxqBORFBBVUYLIqxpr9o8+X52zcuyImyOKKBSJcn0yQD Xn2xyiDvczfKKEMx+IpZ3uAJiS8GzdTaSPFrhF9BGFj1WRYCRw6U8GCbTgnyqblhdqUCA3s+ eqVOmnZfZCzHpWrJUJ3fhVHuy5eRlqRlxIdbt7/o40CiPv2BQrvJqhnEdjXf2xVkVxQ0+go8 fYQlnP1CDDYClkOAoH786xvfSazjmMzVa7Ks4HPvtOYRQmZ6+0COUruvBTWanDoruq0BM5nE QTv2toyA88DJWxrMbPT62Nc0KkLLtFqTyqzGk9PuUL7aqEP9rjtjBzVpklXmQRoVVgvtS16J sL1drcEijWhsIhfqrfRvyPndfTTjc8lJ0ce7JPa3QtMXebw1N8TyvYXLLe01DvTuTnaU2Pic /htoOqYFdhegeo/xPIvMqfBsvrWZcBdGbkJpyuVLJ02QrJ7gxN0u0W0WkAGyRPt0Bo4xAsZi srMX0Yv54e4euvUU4VgF6Hm4UbZiSeMoxN+NRYokPTzYfruoxjFuyQ5JJrK7fvr+8icXTTf2 KHI8DtWR2BEIxejhYvIFjw2LZjznezOMlW4hKD0cCSj85X8/qQNl+/zjxSgYTyIPTcLvoNOk uRUpWZTsAutDGoYGedBZwptxb75CXuFiZWHHGm0WpFJ6Zdnn5//5aNZTnXtP1WCXRiLM0hnY OFRVF01NoDBaTgdEwETxuBLOEcZocURiPJiLwRNhi4fOUXgLbd7MmRDm7mFyxL5c4zsdqDVc NBhbs3QO46ihA3kR+IAQL0tRBYkPCXNdzDCHjXbKAN2afBsbO7QIFN4baTS/EZ3qRIMvicQN c3llOS0AvMelZSiMogsWYk/hTs4iDq2TrQL3ZOQz7Gkxcl9LCdqMo3herk+DzFhj5kSEjsUu STEBYGahtygQRx8nMfRZhu1BOkMR+JIW2OA0GDTBYaazvbH7zlXkZOy+SPl0Q6IvbiH2b6N8 wt8XUhy8S8Oc77Pr6LOQyINE+u47F9LfQzXrITe9kDMkRlWAC0UzD8hF5pHAYfGu0UseY5yl WI+sDDQJs6jxFDJM0hw7lcws0iysU7yZrgbRchHCl+cLwn1h4wu8O5MwRVpXAObWp0NRulVu 4Mh1QxkNSOFzTjcDUOhHfx3YFR4gm5CsWLuPk9ylS4ES+4aSKHN3XB7J5VhBL0Y7XUU4w8OY BvpmMGc4jHx9SLEuUYeDrbYrd7tdqq3dp5vxyKD4k0tohiOgJKqbayxq4VmG9UCsUVVYqzJP Qu2jBr3A6G0YRKEPSH2AIeaa0A5pFIMj9nwuzHNPrrsIFfdXjjGf9LgcOpD4gRD/HIcyn2m3 xpNvRyCTPJhWceE4jWjZWJyjcc8Io/wAhy1TC8cEYRPP4jnhoWvwTMDsdbvk49RvfYXyH6SG F4SHzi3+jPbsgn1fWK6MlecRwoWLWSdVB+erMTKM7FP4TK/Txztp9y5wyEMuXB5woIgORwxJ 4zxlLnBk1CXOfmGkRMBjk4YFa1EgClCACx0Ea1cObI9ZpWLFDGdmllN9ysIYGZL1viVVi32W I32FG9YqhrHI3Qzf0CRyqVzKG8IID/onIvagZiQLx3K1jSUXS//WbJQcSFkVYGoiDHCHl1hA uM3rwsE3bWQYAxCFqSfXJIpeyzVKkEkggAzpXgkg5QBxJUIXZUCyIMMtRAymEHfdN3gybCPV OXZIv3B6HObYcIWYhXJ5wD6XZfGrRcqyZKuJBUfq+7K/sDssCe1jdAceaZYiOzkXcqK4QHur Oh+icN9SW9RYGIacLysxOqxa1JpnhfMYGTdtjg2zFt/HOb3YbPemLbbWfIgRgedbbA9DzoCf D1aG3faHdxH+YVQk1+A0ipEeFECCDk8JbS1TPS3yGJvEACQRMvTOI5VXRjUbTWt4hdORT0C0 aQHK8+3W5Tz8nLs1W849bXNdwl+LfCjSnTaSe9PQbeHDySAzRlnmAbChua+ae3+oXIBvY3d6 OPTIV+oz6y/8lNqznmFtVA9xGm1KZZyjCDJkINRDz9IkQEdCzZqs4KLDKwM3SoMMC8JqbEJ5 4dlJ4iLcGmtqkUdKLlftAN8yoiCP0R1RYuhB21wnC6TvAEmSBF90i6xADjdtz+uO7qJ9m+VZ MmJXSgvLVPHNC63H2zRhb8KgIFujnq/TSZBEiJjDkTTO8p2LXGi5A6dm5JsARcH2kWMq+yrc lA3eNVkYYIvHrQXZ0AXYfmQ1Vh7GDy/bCwPnMKcFxhH/tVFajlNkiCl7TfR00VZcJMCuNGaO igvkCb4HcigKPbdNGk8Gd4Lb9WoZTfJ2a5zPLDtkfEhsH2NyBBtHlqfoisHaNss2z5slDaOi LEJ0OSAly4toe4cmvPbF9lp3JlGAjGygTxO60J1JHL0yUEaa46qzheHUUlRxuTC0fRigu7hA tvZxwYA2GUeSYKs1gAEV7do+DRGB6lqTrMgIAoyh8bT3Si8i7DrlVsR5Hh+xQgNUhNs3AMCz CzHbAYMjKvEv79DpJZDtJYOzNHzxR98QM3myM3Iy51AW5SfkNC+RCoUsdbEQlUijX5gq0hxA GinczMFGMtZsNML9z1jVVsOxOoMjuvJ2knE27y1bI+3OzPobFDMNQlOKx3choirDCjg/137s IPh01d9vNcNdNrEUB7i2EZ7OGzXUE4jnEWXEU6ewZoZYYf/zQgLnnpyP4sdG2XxlgocJkW4t q+thqN7O0GYRqvbSEDCZ3Pi8eqxQ14kJiwvsA3MRhB3kUjhdlakc5bCZwPZ8CDFW7w2PVP3h cmBhynJaT0VrEUQbTT2jJnF++5HWwnsbT2kyoZhps7enLUHyArJ2Ow9MsrwQeRrlXnCMzDpq kdeCWgA7NISdcO5jS+idtoYlmIHjjyhJFqU7XT2o/vXn1/fi8UDv+16H0nLXAMqsrFybR1BZ nOv+MzPNsrptaypNyDzmPyIZGaMiD3zvfggWEcnr0FQT1UfWCp0aql9zAiBCwAXTZLKvVlR/ W6WY+iiYfNHWDuVqpWokk9SNZKsRq5FOkGNMaFpQ3cB1Ierap5VoxJkRjQ7z22O0BcnEdXW0 UWx1n/23TcsihBbbtePUEJWKBPh/lD3ZduO4jr/ip5nuM3dOa7G2h/sgS7KtsrZIsqLUi49v las752SpSVIz3fP1A5CSxQV09TykkgLADQRBgAJBKTYNIbu4zzCEXTnJZvxNbHcUXXgBKB+M MkTj+E4kw/a5D6YQzx15bRXse/akeyIZDAiFOrX7dBO6aABtSOKMOPqqGPaBvz7WlL08bp50 U4axML2krFMlKyCgDllJx1UikifRs+Sxc6AyjfoHcS7I/GOywtAlHF2DehZFG/oUNHIJaLh2 tXrDyAoIoOMRwIiijEIF2PvSqdUMi9SRzmeYMlgKZBPgmCJOnZ8m2XqwGGg/jhXSQ+1ELP8W LPV+CnFUgIdQdgsYsPJ636a9KMR3WXJLw3b5OvBH5bo1Q5Sepeh5BtJu0zHM4SEEKaK/B8Wb 0bN0NS9XAA6KsYtzVLQA6/GdUNf1xlPfJfilS8LyyFa1kxi3EZoZBVUW5dHQBz0SFT/925ZH TSqPFxC/tHJIoKgzIVBVg6r6Xo80mPvMonRVqZgQHumeC/Vp4sTgoeGi6ZUgsk1K/hpDq/ce oFq6VY4D/eXS/nh/X6wt12gjzDkW1Tt3WO99YTuBe0v2i9L15BzQrD+J64XRDQbclWNInYAy tTGG4tdg1op+AYbZHTwWnATKF+yv272z1sZYerZFr7oZbZwpFqCsaFIGCzXY2rI0GLqwBIya YcR41g2jY4qVlpVdvS8x6MUOVVNuxkyx8rI2vJYyHCxxZYNGAXWMMqmi7agNIUkjJZWkfN3e ZGQv1bTZDj06wz3j1qilk0mBC94lQKq6z7e5mJMFoY34bssE4M/94C1ngY0Z3kxHAoy4lDIe sub2gSueIyNMzplwRO/tWHRZiMilNMLbOK/AB0/rexnHG9UalMD4TEUvp8eZ8Zu0HViqgi4r skR/ja68fH08z+zHd7RED4ePNy7Z22bXHihtxFWMD3L0w0xCSQijxFRPPTjgC6leWxtjBP7P aurS1sSS+fqTCc/iVMXmr7d/NEbMBYc8zTCp76CJAo/fkZL8pMNmFrwpWv/r5XVdPL78+HP1 +h2FXeAwr3lYF4LmX2CyQhPgOK0ZTGuTq2h8X332Za+c5ahtPuJzpHkFYt3G1Y5MI8VJ+2Ml XvtlbZZZ6cCPzAaGYS45vpRxSuCvTim3va/qNFP6uTlu8b6aQDpDhzIuQPf/U7gHQXFQkF0h S4bGX3WacHbMkwjK5u6I4sEZy6+ZPF3O7xdkE5OLP84f7Ibwhd0r/qp3ob3814/L+8cq5te9 sxHfUAVrGeRevAdq7Pr0GPfvjx/np1U/CENazsNAwkr6/XOGikcQg7gBhdD90/ZF1PSYLRcC yS5jWJY9BSzfnr8D02GsDvnIFBAfi0wQtGlURL9FJXM9QeGDnN9Zf3z6uOBbjOd3aOTp8uUD //5Y/fuWIVbPYuF/V+cWVeeymlnF95d/fTk/U4+uIjGXcCapxNCQYtc1SSwr59LzLUfW410/ WFI8LCtagKsoF2W1nTZZdaeQMniCafDEiRBQTR7T5t1Ck/ZJZ7nUV5GFJuvrsqObwAxOTU4Z 4wvNpwzvUX6iOv+pcCzL2yQphTxA3UlP8eJQV3kiBcctuDIm340UCNoocG0rpiqu7kPRT18Q 9eDZEc0CQLlUEnCF4hRRY2zixBEdcAkTuJZjRImHgQuqy/h7vUQ/uyqCtgzmmUp2e0Y74P+4 ocbDMJ8MHYB/PIsyi1UaemgM5dGzzpH0DSSVigpBU2h829yMTUeDC0R3kXiLSUEk5NjuIpcW vK4/WGKYt4SxMbcl3VHULSF9BixQHaumONJ34heq3rdv64e+xvhgovN9fWwwUTHR+34IPZeU 7iGxlIvJAg6WPZ0rb6EZ85ZlpkwMT6UslJ8Td6T9TWZm31Nu06T8QbMq2vxz6/prVZvDHN1n G+izAnYc5q2ynSV+OT+9/v7b12Xnw2ubWqLsyTo7WuBhKVbPBCWtwGR0XOnZHwnMrJlnzWQg O8D2bNz+hDZmWLyNLFuQeRHueqqZwDDVQ5dRbteV4Oj74lHOFf7Zt6xAhyeZ77iW3rUssX3p tGVG4E5L+aIzvhwL27a7LVW27QsH/OMjKTwzEfzuDvQ7CzPJ59R2DSEmSNL3SLQ5pjvyRt9C kor+Xld2vP12kNm0cRJn+qjTyJmgKKx6GxBp4o7HVghW0j9QYH45S0L8qyJBih8BfkA46im2 utdvHyyb1NfLt8cXMOHezl8fX2lhZJKQt13zIKuQfZwcWimFzeTTJflPXcKkLvFOTi2/Iv7l 9fkZjxeY9Wjyv3A5rW1tlfXDlNVq8ej5I1P4jGGJKdV0/8VRDh0WOLG8GRx8qlpMCbRg0pI7 J/mOamd2lP4yScEN+VBkA0Wuy+OqPpVpP6hsYF5c34idWBeLm80/rkoG5sTVeJudkiS/oYd5 PhRN6XHwKelypx1vYXvpBHfSpuaLM5wAnJwbWD1ryEKwLhYvmI/asKxvMQePLlQ8xSFojB1V GPk75KWZtUOu3FgTwHi+dLsg8yHB0e/+6a9VNIyf6gu+aEPVyrScPA4BA6X7gTiFEdOucND5 5cvj09P57S/iQzw/hur7mOVz4dvyD1Q+Xy9fXjFvwj9W399eQQO9Y3YxTAL2/PinVMW84OOj 8iFxQqRxsHapgM0rPgrXFlEww1cZPTO7GYFDlCy7xl2T5va0DDrXFTMBzFDwVTzNXABo4Tqx puCKwXWsOE8cd6PP6TGNbZe8XsHx92UYBJ7aA4S6kQodGifoymbUWwGX4+G06bcnwJLnxH9v Jnn+rbS7Eur7VhfHvqd+yZrTcokll2M7sTZZyaQDXkjTLDkGdvVRImIdUm7Zgvflu9US4uaS RZpQvKclgafTZKXeTR/a1AXQK5bdfdYLkUHsHHvoLLyEpMx8CXYaDMHXEDAdgW1rLORgfS/G z0uwBk1w+cx8Xs6NJ72BJ4A9rWEAB5Ycejoh7p3QosNaZ4IoIiNTBTTBTYSryZKURTO6Dnm9 cmJtPEYO+w4qSCyuibO0ZFTZZRwOKJ/CQx0mKGNlDQitXF5u1O0ExDJHhOH+j7B2DHd1RQrq 0+yCd8UgCQEcaZITp5EbRhtiyR3CkIw6mKZt34XOFPsv8enKE4FPj8+grv778nx5+VhhPmCN Yccm9deWa8eE/mWo0CUVlqn6ZfP7jZOAAfz9DfQlfmSbe0AoxsBz9p1Z/xor46Z/2q4+fryA ga21gNYOXiex1dtJ8wMaSlG+4z++f7nAZv9yecVU2Jen70LV6mQErkUo3NJzAvKyGEcrn1sn PvQseWuqfhqeTRNzr/iIz8+XtzOUeYHNyXgCAO5JhR+pClVM97nn+bo05iUwjzqgFNARXYx8 S2xBB8R2g/Do1hoEAvfGxoFod60ODaGeZpXUg+XE+gZQD46/JqGeZlYgVN+FGdTTB1cPnk/m JxDQni4WDE5dVZnR8hXTpVBg6f0FqKEJMrH5jA4c+S7JFR6Qr1Bf0SQnAz+goMHaonoWgilw QyDqIbrN1Mj3CD7YbuhpB2FD5/vOWoWWfVRa8rG4gLhhlSNeylp/BTeY20IH95ZFgm1bM64A PFjiTQ8B7GrHeAi2dequtVyrSVyNP1VdV5bNUWoLXlkX6nEBNwUC+yTlaOWoNo2T0tGa4GBt uO0nb13pHfUOfkxsUQxutnwAvc6SHWX1ewdvE29vyFVieM2TY7M+zA60KU+rYaahC4Dp7uNs DnihzqX4ELjUgk3vo+CGVka0r4k3QEMrOA1JKRoPUqdYN7dP5/c/jBtI2ti+p1kzGJTlE24k wP21TzJKboZv5E2ubrfLTq3iZPebhwxM3nfy4/3j9fnxfy94usi2d8koEEpgPv+GfCdMJAL/ 2mbvND7TlQA+NO1bGp0hhaneXkDGOslkUSimzZCQWewF4vV/HSnZySK67B2LzPmlEvlGljAs tTQVIryYrUbIzDhb1JIi7q63ef5hsulR+1BJEnnSs8Aybs1x9MjGAop6ZC41jSzo6Qkok/W6 Cy3XgEWL1fdMPeDiQWZEFcm2iWXZBg4ynGNqgGENgdF6P6gdUCTL1kZObxOwEi0DE8Kw7Xwo qodQ8daPcaTsy/LCdmyPvhYvkuV9ZJO5iEWiFlSzoRcwza5lt1t6DHelndrAzLVjWieMYgOj XNO7CaHJRBX3flmlw2a1fXt9+YAi1+AWFt34/gHe+Pnt6+qX9/MHuA6PH5dfV98EUulzUddv rDCibOsJO10JVwoNVmRRl7OvWPUzHAB927b+lE9iOdRW68dVRGoihgzDtHNttoqoUX9hby/8 x+rj8gZe4wc+lSiPX6grbceD3KNZCSdOmiojyNnqlGBlFYbrQPm4yYHX7gHoPzvjZAjlktFZ 27KCu4LJJKissd6VkyAj8HMBk+bSBvSCN066t7f56bAyqU4YqtO38S2LoowiaqIJykiXLtwv LTJl9DxBlpIxei7lGD/ODllnj5GrzPWkC1JbUfwLks8JrRSXVum9ndcS4wIy4nn91PHmgg3k XnN50PqL4mlcM30Hm6PCfVhE2txhjv3Y9mUg53hgiwLdr375O+ura8BS0dUHQk1dheE5gS4U HExtOleRdR2VJ7C8qatYiCrAuw5tbdLZUNXYcYGgGnuUePNi9ByZebjUXE8RvDTfIO/LDQ1O NHCAYGX6OLTRxpxvInMPpwGGcl0sFMOVYVliW5a2iEGrBLqCSh3YKskHjWb02hZDexHMwiFc iwI6JBBP9QiNrA4Fow1OLIuPrPJY1ARGm9b6K+4o0cm0cxhlGVVIqC4izk/RoxWgrrZGmWoM tPbjvoPmq9e3jz9WMTiSj1/OL78dXt8u55dVvyyz3xK2taX9YOwkyKdjWaPacN16mCLCMEOI tVWubxJw7vTdqNilveta5hUyEVDnSgLaj9UJKnYwmSaxZetbzBzCpvoYeo6293HoCZhkqGsi GNaFppewFdscWgNmiS+n7OMvdHTp31eIkaMpHVix4Q2dgirZsa6xJaw12Z74t/9XF/oErxVr upJZLWtXD7GZY7yEulevL09/TYbpb01RyA3gMbO8SNhWCsOEXUTf7Rek7Evzs4EsmePV50OD 1bfXN25UabacG40PnzSJrTZ7xyiOiFTkCmCNuqIZTFkhmIRLSph/BaqlOVBTB3h8YDJzil0X 7gpPXyUANm7zcb8B61hVqqCNfN/7U+nn6HiWNyiWKzpfjqXqfRaRp/V+X7fHzqXfFOGaOKl7 xxSut8+KrLpeV0l4wFQO8vr27fzlsvolqzzLcexf6edIle3F0szNxhE/KZrcJtZ2//r69I7v sIF8XZ5ev69eLv9j9pfSY1k+wP5Cf6wxBI2wSnZv5+9/PH4h3r4bdjG+iSscA3IAC4jZNUfp QoX4xBL8h7/8l3bSq38ITxvQdOP8bi81C0jEckl3WbHFaBm54kPZTY/O6vDtZkaprbIKoe2y 6zHGty7q3cOpzbZk0BIU2LI7RdcEKsI0XpH1kLU86gw2Vbk5TlBkMXtZr9OeuJCI8dXkEzjh 6TWSzkgKA6BjHxDZ98oUAIDk1C4rTyzdyMwqhYsmHJbr9hjwRWG7ZJ9dH97Ee5rTJ+AVqEX6 qyWW4m84g8UoO04TpssL26dOlmeCamzYwWMUjvIYJaQnfaC+1Tdu9rQlETKMzKnLLI3FukRS kbKNU+U18AXKsv00ZBo/JIrLVHnud4GeyFcwBXySH1TRnzBEoxTZLm57vlrkpcEZkzSrX3gI UvLazKFHv8J/Xr49/v7j7YwBpTLL8GUxKCZqvb9Xy7THv39/Ov+1yl5+f3y5/Kwd8Qr/Ajvt 06QhmIKojn5slGuLQ9ZWWQFkpE692TW5sao+DllsCLAG/LAjH8BhKFiPsmAf00KTjY6+HcDU 8C7emTIwMpFM4hbfd92npUm0GEkxpEpH7katI5s62ZsU6pC3Pb7vxkRbgDcxMHneb2emNueX y5Oy+BghbD9QVdZ2oJWLTG1/IumO3emzZYGiL73GO1Xg/XqR4dTpWmpTZ6d9jmlAnCCiI2Zl 4n6wLfv+CNNbkOckV2LYBE9JSfcV2XqzMP8iRBfOijyNT4fU9XrbkDlkId5m+ZhXpwN0+pSX ziamDy1E+gfMXrZ9AOPYWae548eulRKTd8qLvM8O+CsKQzshSaqqLvA1eiuIPicxRfIpzU9F D42VmeXJJ0BXmsM+TuPu1HeWR+PzapfmXYMJ6g6pFQWp+A6RwPYsTrHLRX+Amvauvfbvf0IH Xdqn4GhH9FxU9RAjJRM2Ml8CSev7gRPTNZZx1efjqSzireUF95lncACvBeoiL7PxVCQp/lkd YbqpDF9CgTbv8I2X/anuMf9PRM5L3aX4A3LTO14YnDy37yg6+DfGK3PJaRhG29pa7rqiZ7GN u2aTte0DWIh9fQSdkbSZeP9ZJH1Ic1hjbekHtph0mSSZQtF0krra1Kd2A8KVuiRFF5fdEaS9 81PbTy16RhaizN2TaXRJWt/9ZI1y8lYDXXlbbgTaMIwt2MS6tedkWzkXM00fx+Y9QKGut1Dl T3qS5Yf6tHbvh629I/kJ5n1zKu5Aalq7Gy1y5iaizlq7vV1kBqK8b/Ei5qnrg8A4UonoZ6qQ RVnHybh21vGBvDh+Je1TDAwHubnv9rTk9O2xeJj2mOB0fzfuDOt5yDtwJOoRBTVy6E9bV2JY u00GkzE2jeV5iRM4otWpbJNi8U2bp7tMtoOmPWvGSDvt4tpu3h6//i5fccLC7HX41GQoIcEe WI8pytCMJ29fM89l0soAqtirUjIvC6gCF3HRR76tTbKMPY4mDwh30xO7e6HWUGa7GJ8mwlzE aTNiArhddtqEnjW4p+29ob7qvlj8WKVGdC6avnLX9OEgYzva+6emC33piEZGrRWpApcHfvLQ dzREHlnOqPYDwY5LR2RzPBoQ0+ybPMd9XuELjYnvAgtty1mrrfR1t8838RRhTj6CTpApe6+C DX7SCBVRoJOJGfMZFvaUbSO9nzSBu8r3YCLFXFlzgSa1nU6+9Yl2NcvlAlolrkZfukmiYgPp cVUJmzY3ivmOUim6rRii7dm2EaHeYbiu0nKfNqFnCHAyL3i5pqyv4iEfjPIUt0mzM/sy5dht N4aJS/K2BdP8LisVH2BX2s7RdbRtt8BV+2CoLRt5sp+6ZVeqOkrngYWDyUZYCo+7Y94eFMsF X2Bv4ypliUF5uNnb+fmy+tePb98ub6tUPQTYbsCST/FVn6U1gLFESg8iSBzJfKrDzniIwUAF qZiAFBuBn21eFC0mjVARSd08QHWxhgDvZZdtwBiXMN1DR9eFCLIuRNB1AbOzfFedsirN40ri wabu9wt8GTxg4BdHkFIDFNBMDzpKJ1JGUYtPXSDbsi2YkVl6ErP0IvGwizH4U6TFJzyLfLeX B1TCZjGdZnVSFehe4vB78ChI2fjj/PaV3/BVT39xNpikS0KwOTUlpTaR+gGsYUdyeUQokw6x b8ch6+QZq8FYwKu2Mns6O1USoKKsDjlwmQCp1wAWBDsOobs+USzMFfvZ5kOs8ABBahI3DX+j PYYXWxML5wEZe43TzN9YftZAsL0XRVaBcSH1fEY+dH1+d8wo3I4C8qSyYp/mmuIhM4o/Pxak ex73D7aYJOEKMvAckCrxKVEZhcBdVmUtOGvgLpr6xciobzoTju5B5yos6FyUYMOyjgfQM2oB BjTk+lvwcZJkhTKyLqcDpVFUsxp0Wm4UvcNDS7+3Cjg33Rr4MNR1Wte2xPOhB+tN5UIPBhjs RQZutgdNWdBeDCqGuC1hBzLwhqVcVfhZdsnRNADlPBGX0QZ25LFf0/ltgIDfCpeHnLf/R9mT bDeS43jvr9BpXvWhpy3JsuSZ1wfGKqZjczBCS17iuZyqTL+yLY/tfFP59wOQsXAB7Z6TLQDB nSAAgkDTsszcYTEqZWUem9AABsfiST1MRjZILWY34FzuJAT6TlBvUWSf13NDZyIPdsnWg7v7 Px8fvv94n/3HDHdDH/Vuug4bK0XTioyVhc/BeUhNwbgnDMKptxP+pokWK2OVTDgVVfTD4qt9 TpU6RDwmULdhmXf7LI7oOlXsTXLRTUQMJMyNJ4O0QaM/qplQY/hoX6+vlhd0ZmuD5trzPUi/ q896MATB/ayjMkb9h03po1lSDdmtFhfrjDItTERBdDW/WNMFgJB9CAvqSNAq6SeyX9+frOLh e5CMMN2HHayDloPwUkDfdKC4WCyyr9y5Qx5KEGVbRHoRonDdnLYgFjuXzwDUv4OfU0bxpo6L tKECpgNZzfb6h+2WFLqxvP4IHO4sxcvpHp1I8ANHqEN6donGUrtVLKxbirdKXKWM9zqoBXHb YLmya3F2w2kBAdHhFs2lH6A5/KIUJYktZW5bu8qwbFNG3wduZdCLkGXZB3VKv3FflSo0jLaS AAgzk5YF2px1VW2AdUliksd4n5/Yrca4rSV1WyaRX2/io/1FGucBr2khR+KT2ldemoECWbZW P0A7ZlnE7XUAVUtjtqesm6O1EPYsa8rKLjreSxu604lj7UvkgmiOcWDMonhjAb6woGZmE5o9 L7Z6AjXVj0KA0tPoTg8Iz0KZAcgCxpH5NQjT5a60iMqUy51jdWqA44+KYpYjQZJYbIjXbR5k ccWiBSA9n6bXlxfEp/ttHGfC+sxa+yAn5jDx1AmvCDKUbcyu5+w45GMxSgMFVa5yf3U8rEtR JpRwKPFoX63dlZ23WcOdNWeQFA11q4uYslbR7AzyihWY1QeWvY9nVnHDsqMu/Uko8B84dMxp 74G4RqwdVGWskAb7UNiDhUZi0Xy01qsab2ntlgOHg/54PumvNsw2y8hIGF3PAjcxy+1WARCW DBwWMa1eSJoPAhDKZUBesMvNjbdfTHAtjOcIctiiyFndfCmPWNeE0aHOJw3flXaPgPUIKzKU jt0CB8gtZrGtW9HkID6Y7lU6/KNN1eLJ3FWC1mskR+Q8LxvfnjvwIi/NJn2N69IchwHijMHX YwQHtc3TVDq1btsGznpSmBC6BlKz+uU75LM+r9nwNpSQI6SAgdHfTFlnklIw3ptXUKmkLGSU EZyBrHo9v5/v0QV1FFeMEm8C+tiTIQFt9ja2/5MqbLJR5Bv8vkhxDu3Xku1ob9MmWJeCGs0P +ijaJdkfjekaenqKFvtZbkGpNAyM0xIwwyVrQBU+zxAjAYpBvUGNp0xTiG6zindGzl9VVFEQ ge9Bwodzj4luq7PNVk+H1qrsZiaAFQWI1GHcFfG+Vy5HF2wzJgfODxEvW0VDVOnwUNrngjp2 kCqBGnjBG8xXg5zPbIg/erYc9SYFRl1Gbdhk/hqQKuJCpgeMD8A/CpbJzWjUhOeHHPcUGAwA 3OmSEf1bYOhFpLIT/mvxN2OpF8b2Ob+9o7/W4L4b0ZsnvFofLi5wfrx76IBr6yOCmCDQ+39o F/OLbSUXgbE8uKjm86uDszq6BMYMvukR5ph/XFnbo82KRLaZz3uwUdqIgLZQbiQydOgGPbiv 126x+F2fF8/kcQAXIvAOGOJlgDxUSB1FEWdPmW5m4ePdGxG+QK6GMLeHBmQGFKE83dhHVkzb Jh+VwgIOpP+aqfi3JYhxMSjWL+iAPTs/z0Qo+Oz3n++zILvBzdiJaPZ092t49nr3+Hae/X6a PZ9O307f/huqPRklbU+PL/LVwNP59TR7eP7jbHakp7MmTAHtqJU6ChVMS7gzvmQNSxh1SadT JSCBhKUd7LdHchEZrjY6Dv5nDY0SUVRfXPtxqxWN+9LmldiWnlJZxtqI0biyiKWATGNvWJ17 PhyCm8JYhYFvJOMCuhtcLVb+4NQtc91ocRnzp7vvD8/f6WiweRRuLqzI+VJJsANQ88pJW6Sg uw95ARD0OTPtz1rb29VA+y5mJLvEG+jhMH2yMUt7CCWwS5kdDpggwqZ6Ks0lz4jq0C5eIUqP Y+xI4dZvU0QtQ/+xbHScqR7v3mHPPs3Sx5+nWXb36/Q6PnOX/ClnsJ+/nYwQH5IH8RKWY0ZZ aWRF+3BpnbAAGeaJqFodWzNhS1rTp6yyZBEJBmmrdyq1a1u4EKP+9O7b99P7P6Ofd4//gLPz JPs5ez39z8+H15MSOBTJIIjh65Xfx/QgThMXUryxZk7CnYXmkjQ1C29gVwgBUhkoz75ECej1 w6PY2uYDFLQSK4j9iFFtozC5yD0Ynh88mMnWSGGbOK2ZKwGs7fQZPdAVC0YEZpDVlytOipwK 8qhshVgvrDpQzTUNlBN06Ibv7FBEo8+yi2K8DlHco5H1zXKuv/LWcMpASqLC7fJyTmL2W97E 29g5jhQWEzCpS8TYZVpD2RUIW3Yg/B7VnxD5hkTHeRWnJCZpIg5jVJLIHUhbNYnhFbv1zAr3 STZDW4DL9V2kPh/QXUN7+elt38wXZJAxk2a1pMcslVeXnu7taXjbepp9Ex9FxYquiujHfi7p x+2+yYTDjQZUGaBbXug/TnrCPGy69tMRkjejZG/zUqzXpiOUjZ2v0H3QE/3dIrbCMOvYQ/t5 EQXb5azwlFBli6XH1VajKht+tVltPiO7DRl5iaKTwEmMejk5bqIKq83BSSAyYFlCWZUMlhXX NdvzGpiBEHQVxzwoMxLV+NaN9OH5AgfVx7Xv94zeFCp+P43KCw7CrfezsPRN3AGtWV3+ydzv udgGID77hlS0c2/+m2HGGjtLlIK3VbTeJBfrpa1B9O2rPXU6UsF4wpmWD/Koi3N+ZQk4AFpY pw2L2qZ1eNdOxKltk0jLRl6HGKSZq5UPx0R4XIdkCDJFhGZ3a2nzSNro7MGQx0ecebmZvHPs 3a2nAiW0yxPeJUw0+Po2tQRAwQX82aWWHJI5lgGQvIow3vGgtjNR6o0v96yueVnb44Ha/Qf2 EhE3ygCQ8EPTkskslbyDd+CJdWQc4QMr81D8VY7ZwVqJ21YmLVms5gdHu9sKHuI/yxUZx1on ubTClMsBw4Q9MPZx7fTVEP1YKdRt5biKqx+/3h7u7x6VVkEv42qr+ZkWfXaTQxjzndlBtDh2 O8Ma2bDtrkQkAVKCY3AcTIP2rKF86WR30QzBnqYbLZK6lj1aCvqhZqmToCdr7OZvMyi8KdMU FQ5KJ70EFgR2UO2LNu+CNknQH2KiG/l6WQhLyK5Orw8vP06vMAaTbdGcuwQXlW02GQx6beQo sWndtaTjHCIH25tZWnVgi7XFv/JdX7gFW9qmwKKycngPUPhcZumwysD6rX0VACXRE5ZHq9Xy yt8bOMkWwyMXF4zJXz76cONIOWl5Q6XhlhwhxfB5T8Tcj35tprYpIys4Vl598ZNTbzBRHoDo UpWCN9bwJtJcaYEw16SVkm5YejY0xoPD+Z4gTboyiA82rHArjwlQ7DaxDYQtfSRdXcDBYwNz 9IMjbZlJ1+5CG7Tl1rpU/ybCnpgB3nfXb0Ua6GCkfdx4IJFj9ItEFa5ZecTFn5cMJMOg0eWr sfPW4AkgYRBVW7R3fk6nz8jn1Aksxk7QF9sWod8KM9Eoxy4ah8vBNwIJZcX3kTbmhIxcurdP vbyeMHr/+e30DQO5TC/3rdMWr5PNxQj7zQGMU2eBcdsYwLTfb8ThlfjHN2kLmYT2A5J/a0J7 Lteg6OcTS1KP+Sf9fPAjTDHe8zh/G0BmuSHdxhQWtmiXWxwkVY4ubpMkWA2+t0BFE9pWvtRl M2kXBWnl1oJQ1XufFtfT9CNnyyadyproO8bZXpeMtFPl86U6SnHHynwRJgGwByqqVoXcRksh MKEK8R16yF6T+XkUgcA8fXPlxjvurObXy+kfoQp6+vJ4+uv0+s/opP2aif99eL//4XoGqDIx 2XLFl1JCWi0X9mD8f0u3m8UwefLz3ftplqPN2hGtVSMwNlHW4NWjJiJLTP/OZcJSrfNUYkw3 SI2d2PPG9CPNc/raJY9zAao8tfDw/t/0rJL35CrpOAFTicmnfmkYuUfCMjOVNUkQ1KhnFajA bveotBRp7DrwAinlgiJLGFy+KR89xDPWzBfXhgCn4MXyYrG6pliFwovl1eWKud/tFxdkjlfV nzC/WurvaSboauOUJd3w6bu9CU/Z+ibs0qpKhqBfWBOEwGvzae8Iv/D45EuCvIHeeDtbheza SEyrQ5VPiomyPdpVI6rl9SUVg2nErhbER6sLTz7aAb86HHo/m4/I7NcGJl72ZeVdW4i+0k3R EqoeOnToZdjaWwVfVZiQIAL1wpmwZrnSo/aqyQjny/XGnvAmZFeri7Wzs5osXF3TkXFVaeyw Xhu5VDTw9dIZcfnw45p+1jAux9VfH6yluEgW88DDiSQJPlmxIk2aBFws50m2nF97u9VT4Aug XzbzkL4Qvz8+PP/521ylXa3TQOKhsJ/PGK+L8K2b/TZ5LP594uhq8tAYkztjL44iJP1L1UBk h1pe3ZgfYQAt3ycgYmR5O7mNOZt77RQn0nw5v3QjS6pEFJi4rDm/won2EW+tm81qviLZcfP6 8P27ccTpblT2sh+8qxqe6x7eBg5UC+mDQWNBBrtx13iPzBvaRcog2sasboKYUaKpQUg+/zQo wopS/g0SBiL1juuPJQ206bBn9rR3npP2dTneDy/veMH9NntXgz4t1+L0/scDSgW96Db7Defm /e4VJDt7rY5zULNC4LN1T/0gS8Y180xDxfDxAI0D1TCKd55SK/m2xl6742jZmUDNFjdHcg0G uJWdRSv3JDE9eBMrBA8wmtRxYA6w3+/+/PmCw/eGHgdvL6fT/Q8jEwtNMVVaN6GSc4g6o5xN PpQObPSxGsvScDv6NgItVU7YAMxdHBepETYAYf2rSSlXFXFmNgJdZcff6NBVo+dBGplOdezA kZiMiLIfsdqLSoH3vbrXE5fBWzjArgxbdpUdPHY3ZSdD5FRuD/t6LG7zqrMaaSErq9iRTr5Q 3GJTujzNaUPGREN3GbtrpZ3uoQ7A9K4FoDkwPQCpjEsYkXR2D8apDx8fTs/v2tQzcSxApbJG C37IwKa/3BUCGuHk7Q3goE3cTN2yUDSFay8A9hJqrVb4usvLXdyHqCBHtCfz+9z0BEM4Vs9G QhLg4ZUgmiDheOw2dKRDnSrMme7XbQ2BtvLbQ3/LRTa6wgAglNJtOF7wsgu58cgMQVVU79DV hde3tCUDaCKMg/oJDSNjtSIGZImwFEuzJfL5s+MnBAjg3AeLtG6Na2oA5YmZLi7BCyBoXRKZ QH16JFFRcpBbqBNTog0/qAECGivT3q6NYGAmBwuc46Fj14lA/yNqaHUXHCupm7KCpbFxI4xc s/sgV7gMNKk1QgWeBPG2NZqhwNBobxnA4ysjTbQEBhjzV7+U7+G8qNrGrTbX15sGHALJdM4B 1BMhS8AIaXHUX0Rpxah2jX3hSbijHsHt5K0eLxv9NkECrZ/u6Eioz5issNL72VfpTpThjV2L NZ4Shk/fRP8yow/4M71nuH89v53/eJ9tf72cXv+xm33/eXp7N97PjOlIPyYd6kzr+BiYkVl6 UBcLWrEBPRH4Ms0Z0zKLEi7IN58MuG6YaWl84IeMCl2WN63+7rMnhD0dV0w/t5Q60Rcy1jlB iSf7Lo1SGDdXVLEyU+LlRvO61nD1zeZiQ2IEXxkedxZqNSfrAtTcEDBMHGliMEnMIP0aLozC eH1BR3i1yK7JkPs6kQw034WVMXFds8+uLi4vyJ6hlAV/gXWT6KwMt8DEWE2OWMWynAnyQxXi gerJLvykF0G0nm8OB7LYhB+Ap0jGZItvu9DgAtu9qHgB7b9xhJ3w8Xz/50ycf77eU+ZU1CMN AVZBqroMDG916dWObrBdxZurS+thyBAmn6prKDhnPAtKrad4UZ2UGIps27oCdKCHAeq/7UxZ TJ6GHau4DZqeiil36NMzpkSZqdOzugOdTuZBES57+oxUY+WyJiIAt0PRP+GCQ7LZ1mWbUkyo TBT50OT69HR+P728nu/dOatjfHwJM2TIkBMUtk+8I+eHKFXV9vL09p2oqAI1Rl/YEiAzAhBd UMhCE3YUROoBqfl+18YgwMb24oFmwTebOcrTGLkCHQJHVfQMOv3+4fWk6XcKUYaz38Svt/fT 06x8noU/Hl7+jmro/cMfMOXT6zIVQv3p8fwdwOIcGmadITY6gVZBal7Pd9/uz0++D0m8esF0 qP6ZvJ5Ob/d3sOJuz6/81lfIZ6TK2vGf+cFXgIOTyFj6/8+yh/eTwgY/Hx7RPDIOkrNGMKK0 tqflT5gS1Ozw5XiW6eJQj22DOoZ541/jf11OTfr3K5dtvf159wjD6B1nEq8JC9BE04tafnx4 eHx4/stXJoUdzRv/1uIaeR9mutgldXw7apDq5yw9A+Hz2chSolAgxOyGKKFlEcUgcetRvjWi Kq6RsaL3n6Hj6SToEylAoqEVSY0SzamiYqT8b5QIDA5Efbs/kb1ipq538Q6tZ+PiiQ9NOL0A jf96vz8/D88IibefirxLBAPRiPJw7QnM+5MeCALV/HK11ryyJsRSpX23Kxos+v6aJMXm0sh0 M6G8Vv+eRAkY/tKrpljN9azkPbxuNtfrJXPgIl+tLhZOBwenQ6KRgIJdgVe7C2o8QZEu66P+ HefUi9Oi0bQY+NHlZnYZBPGI1lgQF1d0cALEqSvZhtTXEQ9iUFqVeggJhDal7hAu6eLasCb0 zfR7vcpi0OJre+NPylYe46tyomHGZRX8QANLYphfEOi36yCWNXmcddsM3Tfg9yd0TUg9G5W1 7A2nPwShqTFp/EXyW3G1uKAtgYiXF4/0AwNEy8u9jXv7gQYZTOZCxCCob1HU1IVCEIY1uyBa d0FIBDpHMuZFE+pmKaeWsZIK36UF+s1iULI66poq5AszgeT49KUMG0YZq+oY/aG1M8+QzBAX 1GEuYA3Br/CDIpSRN91PjVJwDIssL8PGN4bbI0ilv7/JE2cauiFapOF+rAH7MNkGOggxY07B pKN1/+U0g/ANBi3CUAZNWdd0aESdyixcx6jHG77SBct2FDtBGlyiPD9s8lvpF22UnoOalFH9 QmR1YN1iU+TSE3xiAQYKu23sCSyUVdJJr8uj/OqKfECBZGUYZ2WD6yPSY7oiSkq3ygfdi7Cb NIT2ly2yhkn68izmF6Rkb64G7UM85kNGxWzKw8BQ8MLAtrEZuKyiWG7NbE/IS2efs+dvr+eH b/rRDZJLXXLaUXcgH2UMpsmXBTDZ3Po5clMDWOfSF1bFrdvP3l/v7vEZNxHSRXhYn9qKzZZs JVHkUH9S6U8zen22qjs+em1P42AjpVJMtgZL7fK0Hr4Jd9SkSqo+gYDdBAwU8DWesPatT4VX pmHZgnxJew/KwkF05x5PEImPEtrBNyFtkNKjCSo8SDXhb2M27t5ZzFE30PuMRen6eqENMQLN e2CE9AbdyfJIlKvJpGWlnTeCl4aTD/7Go0JWQ3RDZDxXJ8n0CYDUVg+bmh4S6acZqjwLpJWo RYKpV3BG4+O6yEqbMJlm4NQHblp5nuPkpW48wV+KC0WG8UrCvRYESxpXjhAPeJsrOY82UzuG SY+auEN3Z1YL3V0BQLxU9xK6CLqg3ZIBs+xMcakHdejECgsipMd3oBJx2Na8oR70A8mlW/Yl Kj0yYD22yv/ZVL8hfF/qlVoYKxrIlyAyGD3+9ofVFl0ehCzcxqZ4wWFw0ZmaNkN9cVDDtpcI TYBKxrgQ3e7ShN+2ZcNMENF3BNeGtwdCykJen4iwbimhFEmc+3sEgj4ZY94ARotcaSIWRvuD prZ6NECMto51jFgYUJAEcTem9jJxiesWNCtWAF3nu2NVtE6fFFj1yvsV1hAnmDnNSFRQ8Mzu brKweisB6CxHkXUH1jSGWDogyD1k0biLWWLUwLm1SYMnL77EYZ+S06kUHdDxtaX3KBF47tN7 gNx0uGr1hgyQLkCreFeat914I4/m/hvrvmiqBCTS+liZGUUNMJyqqVmmkLNGsplE2JknIhvA FUCaW7Qq2Ug3OVbgXqRdLhCDl4HSpiqPl4Q23EjKsNGGEENzJUIywycT1pkvehLJG6l1j3lW MXWQXsQEw/CaHHNbdPBnqpciYNmeyTQSWVbuSVJeRLrZUcPkMXSsrMa7yfDu/oeRGUQoDqr3 SIHk3qH6NeC3XDRlWv9fZUe23Lau+5VMnu5Dl9hxtjvTB1mSbR1LliLJS/LicRM19TRxMl7m NP36C5CiBJKg0/twTmoA4iYIBEgsetZJhXRb74oi7eMHsXSkWRM0MmjyxYaZ+wbB6KNSNzFy 1nIFgs95mnwNZoHYqtudulVEivQGjBxHVFAwUDukapxvUB77pcVXkNhfwwX+H2xFvcuGrXUh lRTwnLEPzyQR9z68srlWwSJSGcar9c6v2m+/bv9Fh6hnohSvMDDA6/Sw/3F92p4LKWanAGPl BSyfa54vx+YsjfVddXh8PfnBrYW4sjFOgxA0RnuAP1RBNJ4GlLzeI/C4KJhQL+JDv+VF0SiK g5zehmIpVfpiDNNK/hkUBkMw02vebFRIByjpU6RNM80xSsGlnnjBwGSJGgTLz9EPjP0wFKKa B4GYKArhLkDu963+ACJzlLK7fGhqG6HNLX1zTFYf/wzkxs59ef3IYEgFwQpTeLofyI20bb8h iO9TBnqPxXaovd4gipJNQSbwHt4JM/k31cOWatFgOM3bpoJtZhROysh3ZRP2QbrRZZC/5dZu OC3VKJcjcwH2UzFyaMqzhYsXkwhrFtIhKMhyAoOe2RlL08R486PMANxOFj0bdGkxSA10GQW5 6ulFh6DzNXok3cll0iwGg8C1WFZDKZvKX5KBRqQ6UiIG4xzJMYT83UjhMV7y9u9Aif6GhexI YfaWMEYDUumKnBSTlMDsDZXVX3zfO4oc+W70da/bIt+tEeJX8xfDO9ICHblamWPz7FnUbKN0 Ulyz5hN0nh8PwxrC6fOf3qnVqC9zLxzrFy/6j+FzNhxTrb5MeqMD+/GYg+F/KClOTxmc4ERx HX3ZY9CJt8BMnQWYAk2CCdjNZrpkNiW1FG3zXKb3b4XekU85zFPr61ewDx+ypXCDOWbhNUTE xLNbuI8y9jWBqTFP8zHd4Ll7OeowDz9avlnvXq+vL24+d04pWul0S9DptDs6irs65woK6SRX F9q1I8VdO1KBGkS8p6FBxLl4GSRX7oGwRXoMko6+fgTTdS7QNZvEyCDpORsmvoYG5tKJuXFg bs4vncO8ufhw/jfn7lne9Lj6vPq4roxZgrmDXLe8dgy30704c74vQPL1vZHKK/yIv0Kh/XLV iii+yw/3XB+uAvfMtVEIF1sq/CXf3hUPvuHBnXN+sB3nsPQ4OI1knEbXS/7uoUFz7u+IxDAR 0ET0LHgK4YcYOH3kSR/0z3BKc0g0mDwFDY+mfWswd3kUx3oJGIUbemF8tEOsGzG224x8TBgW MIjJlJb41GasKZ4KU07zcaTXOEHUtBxw5Xqnkwg5nCj3ErCcoB9RHN3L0qwqsoTeq2jH/9LP rno4bNf7dzscBtM7UmPzDg99bqeYRsw6165z3sOLQcIcTDVubymxpkUYyJZbe18e0yk47XEZ jLAKp6zSQy3dev/DeJFC3LqXeaQXZDxqzSgkaz+IQim+ONvDtASyfhfpm0NjpN/o2+nX3ff1 5uthV20xie/nn9XzW7VttkulTLejp+FTcZGAbvb68Ovx9d/Np/fVy+rT8+vq8W29+bRb/ahg gOvHT+vNvnrC1/Xp+9uPU/kGx9V2Uz2L0qnVBu842zcp7+iql9ft+8l6s96vV8/rPyLPBfHf wGIEMCl/DPwz0d6qQInTUzAWSIim44JMEuPNpZNWXe/xQ1Jo94waBz6Ta9VsFmkuTRvCLTJa TI9ek7AkTPyM5vMT0EWam4TZrUmEAWWXwHl+SoI/BSOnzWnm9v1t/3rygHnoX7cnkhvahZfE eDSteUVr4K4ND72ABdqkxdiPshHlXQNhPzKSlZZsoE2a0+OYFsYSEvvHGLhzJJ5r8OMss6nH 9EJYtYCmj02qYp8ccO2Gr0Y5gtT1B5uaG0bd7JpqOOh0r5NpbDLLcjKNY4sagfbQxZ/AakEe yfgWee2ALw81D9+f1w+ff1XvJw+CLZ+wuOC7xY154VntBDZLhL7dXeizhHnANFkkzOym+Szs Xlx0bpR3gXfY/6w2+/XDal89noQbMXL43E/+Xe9/nni73evDWqCC1X5lTcX3E/st6JmiFOUI 9jOve5al8V3n/IyNAlEf2jAqtNLBakLhbTRjWCeEhkEyahf00vVchF/gNrGzR973maZ8tgS8 QpY2R/sMG4a6I1ENjdlD2hqZDrhHMhik+5lFWTDPwI4+zz3eOlULjCdz5ZQ7SVAzQM/lxlkI 0zo4FlELTlaiTALNXhdHJzPDh+oOg/VTtdvbneX+edfuToAt6GLBitl+7I3DLrfWEsPpKm0/ ZecsiAY2w4+0/ETq5dWMbiGSoGcLxuDChkXA18KRz7fayJOgc3lmfyEjr8MBuxeXtngYeRcd ZkMbeed2E8m5TViCEtJPh8xazjNo2foafZFq0mYiL7Q/IYBhbmr79aVzjFq0BqgQKpGJicfU E2CaeAwCVW0j+wnB2a8FofZqat6ONWwg/h6RhW5mg80w00IBmhfRY9a7nKdmLKdc8deXt221 22m6aDNgcZhsDRrvSUzYdc/mk/i+xzzbG9m8iofC6tPOV5vH15eTyeHle7WVwWVKVbak1KSI ln6Wsw4JahJ5f6gigBmMQxJJnFfwxScpEUj8451b/f4TYTaSEN2eszsLi0pOHZ/H6T+Isgbm IGsUT5u9Gpqja9dQ1dqus5VwIlSutI+H12yRQ6LDgokyMJXz5/X37QpMke3rYb/eMNtIHPVZ KSDgud9j5oioD0U2Eslvzc5OYJHwqEZfIi1wY2kJjw+HkxMIV7sFKId47t45RqJGwi1Xs+tw SFMHY0fSbBfmNEfsJXNxl2BRCLDW8SwBcw5qdp1CZtN+XNMU076TrMwSjaYZ4OLi7Gbph3kZ DfBaNLRcKLOxX1xjtssZYrGNmqLNh1i3bcLxyav6/ptv90omdpdJz2t4EQ0nIVaVlb5Twj+t vrBt2L/a7jHYDdTnncgQtls/bVb7A5iqDz+rh19gdRNH3jSYYobFSBzKfDt9gId3X/EJIFuC TfHlrXppjjnk3QI97Mm1q3sbX5CrnhobLkr0m24X1XreoqiDFM9uLskxUToJvPzuw8HA54rp r4ryLyiEKMF/4ahbP5u/WFCZw8kpceSRQkbCZBRk2Qf7DnaMnNzYop+mly+FWwa9DPWEoxzx aohAGcKsHmQJVYzJJCyX0zKKdWU9zQP2OBRrBIsc7n3MddZeYQvG8mK7eZG7JNVymoCmCoYZ bEQaqHOpU9jKrL+MyulSf+rcsNUB0Bx6OrZPQQIfe9i/46unaCS9YyRePvccOw7iYdmN0V06 m2OTNOQ+OdzHVOeWieETM9S0KTC3WGlLY+CWIE3IOrUo4/qcQDHQwISjcwrup7H2ad7LbcSA ajf+GpRrmXcBcN39IzU7Pnrbb4A5+sU9gukbk5Dl4prPgFGjRcwOG21TE0QevbergV6ecLBy BN8WM4YCBP+RLvr+P8xDjjIZ7eSXw3satkcQfUB0WUx8ryXcahGLewd96oD3bHEhjpmx+gkR XrTIpPCRnWFlILDu6BZdpH4kPXu8PPeIaoulgEEA0SgkCRJ+85pgQriWTWwSwn4hkqZ5mTj0 N9LMwWxiT3hOjIRSTQakqhCLg2KkxegEmZHoIyo/mzIkImFaHmZMZ4iapBOFMFJIIbZBZRhY q6Hy0KKuvXoZjG/kWsNLH9gMFEIej1Q/VofnPeYN3K+fDlg36EWe9a+21Qr2xD/Vf4mKjcmY YNNeJrVr0aWFgT7wug+dRjvE66jBF3gIIZ7mhSula9v6mDaJWN82jYTGuiHGi0HvSvDtXLet 4kKhpeJyCVEcxuzwxTCW3wRZ9lu6zcZpX//FiPVJXLuamB9bmSaRT2WTH98vS0+TP5gyDBRy zhclySLpn9juUIOA9JtGgQg/K8qcRiKkwIdWPVMBvf5NtQABEhWowzj0S7ooBh8XsNMa4Ul4 GzgZOnSBWl+z1DD9Lk1pwAL6tl1v9r9E+tjHl2r3ZN+V+tJ9ahmnwxiUrbi58LhyUtxOo7D8 1vgwKR3faqGhkKXS4NWFeT7xEq1Ou3OEzVnL+rn6vF+/1NroTpA+SPiWq2guy/6gxcw5defQ /3Lu5RPhDqivfAYSGeM8WfeiHAx6YbIDDX1loxCjxDFWAEQty3ByQIUMU0FX5cST+d5bZV/D iOGJ2rC0n7qaUQqSoCkBIT/c5XmXr6BNH5mH3hjliJkMtzUD/naptWRHNdsF1ffDkyhgHG12 ++3hRc96mXjDSPiS00h6AmxuXeWpyLez3512FpTOLu2iT7VgVqwQomi+NF6OTYbXYIIywZDI I53UDdaXzs02LHZxeH3jYUDEi/3LvGdrYcK9NaVJlQkOEbWA+HY66ww6Z2fEG1IQjgO2jHe/ 8LTwKAHANBNcbK/vi41b0vQx6xEtZXIEigzrQBWjaFCawCCayYIqBnw6gU/NHwlGsDpOY3si 4WTqKIYj0M3mxvl14AmEXB/ia/JXzK0zBUY0hFRHEVAMS1AKRu050DRGQjNE7fBFGU4KLRBM toFYcy/VEeoskXPVFUXP5xP2FlggszQq0om0u41PQkYScbJQ8Ho9cdBRY5At5ug+gqMHg9gP 5eFH5/Ls7MwcQEPrtIsNusZ5Y8ClvzSIcY9eFr5nrbh0KZnipkaEtD/CwtICFU4CGZRoPjlL bIi4hDO9jhpkzn2wDTYbgkE6ZISazJEjPFeOTBSUM7RLYvv5UTQcJWzu3frzR39b1EQmqYhC Rc3RC4LGvVz3hml52uwHPnw9H26tawP9Sfr6tvt0Er8+/Dq8ya1mtNo80ZAlTF6OIjGVcZUc GAPAp+RkVyIxkiSdlt8IRxXpoETvmimWrS+Br9l4JYlajjA7RukV2guWrNWgmk46XdINCmmw eb2EEIoxcaE9Ltp6UqTZ+S0oBaAaBCmniQspJidHxdjxZZY+dLDRPx5wd2fkkmR5I9RIAuv7 CAoTYY2UObi2Tf7ANRyHYeZKqFpLOrCak6y0+AgnRaTzf3Zv6w06J8B8Xw776ncF/6j2D1++ fKHJ9TFQV7Q7FKp2E29EA9tmbNxuQyHawAk7Pz400qdluNAyyctPok6hae0VDbkx+/lc4pYF KB3orefudF4YsW8SLoYrtoojiyzNKugEXoezh3pR5F2Zyv9NTCnsCL4sTA2hnHhaHm7mwVg3 DScN7OeV3fN/vG3LGshvhSTlnSb9MehC9IRDKOCwYKCLFGEYAMPL40drM5NbZHuGgB/cL6k1 PK72qxNUFx7wKJ2xUBwRujXLi2N6600WrCEuUCKCO5K1PFpxhNs4qFpeiacpeT7NzNg3Q1o4 Bq935eewJpMSNPFCTT33p5wIMd6lMqX8KW68tccZOY8HuPaEhsGEBa6nwKhZCvOrkcpdYkGI dnMjRF3DhrdM6EubEVSbnL4WIJmlgZUbR2ASLfMCgHKHp2i0WIoH6p5/V6Zm5ufGtBMDzl3Y ISjvI54muAMbG77kgcHUsgEBXCYi64twAs2JUyYiHUJx4F7AwsNkkYUlnl8wCff359WfimUN MRD1YWpd1svOPk8PO8pqt0dRgJuajwktV08V/c7GU14/Up8KnkekOZ9CIh2I1XHTc+2Kiio8 OTkzsvJWNIgolkq50vfb1defEW4EmH6AO+HAVhJvHCqfd6ODKG2+kXfHkKg17aBopSbe1Jaa V6rUIEFv9NNZ/ZozPYkw8B5eyOF3jOyGviYsZ4GK6jwGO8oDlj+2PBX7H2Y5gDScqAEA --+HP7ph2BbKc20aGI-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============7649916671072249217==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: Re: [PATCH 6/7] xfs: remove XFS_IFINLINE Date: Sat, 03 Apr 2021 11:31:17 +0800 Message-ID: <202104031134.aKlv2gye-lkp@intel.com> In-Reply-To: <20210402142409.372050-7-hch@lst.de> List-Id: --===============7649916671072249217== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable Hi Christoph, I love your patch! Yet something to improve: [auto build test ERROR on xfs-linux/for-next] [also build test ERROR on v5.12-rc5 next-20210401] [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/Christoph-Hellwig/xfs-move= -the-XFS_IFEXTENTS-check-into-xfs_iread_extents/20210402-232422 base: https://git.kernel.org/pub/scm/fs/xfs/xfs-linux.git for-next config: microblaze-randconfig-r036-20210401 (attached as .config) compiler: microblaze-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/3a376a77f4296e338a26df75e= b05a1b7ae0def2a git remote add linux-review https://github.com/0day-ci/linux git fetch --no-tags linux-review Christoph-Hellwig/xfs-move-the-XFS= _IFEXTENTS-check-into-xfs_iread_extents/20210402-232422 git checkout 3a376a77f4296e338a26df75eb05a1b7ae0def2a # save the attached .config to linux build tree COMPILER_INSTALL_PATH=3D$HOME/0day COMPILER=3Dgcc-9.3.0 make.cross = ARCH=3Dmicroblaze = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): In file included from include/linux/string.h:6, from include/linux/uuid.h:12, from fs/xfs/xfs_linux.h:10, from fs/xfs/xfs.h:22, from fs/xfs/xfs_iops.c:6: fs/xfs/xfs_iops.c: In function 'xfs_vn_get_link_inline': >> fs/xfs/xfs_iops.c:522:9: error: 'dp' undeclared (first use in this funct= ion); did you mean 'ip'? 522 | ASSERT(dp->i_df.if_format =3D=3D XFS_DINODE_FMT_LOCAL); | ^~ include/linux/compiler.h:77:40: note: in definition of macro 'likely' 77 | # define likely(x) __builtin_expect(!!(x), 1) | ^ fs/xfs/xfs_iops.c:522:2: note: in expansion of macro 'ASSERT' 522 | ASSERT(dp->i_df.if_format =3D=3D XFS_DINODE_FMT_LOCAL); | ^~~~~~ fs/xfs/xfs_iops.c:522:9: note: each undeclared identifier is reported on= ly once for each function it appears in 522 | ASSERT(dp->i_df.if_format =3D=3D XFS_DINODE_FMT_LOCAL); | ^~ include/linux/compiler.h:77:40: note: in definition of macro 'likely' 77 | # define likely(x) __builtin_expect(!!(x), 1) | ^ fs/xfs/xfs_iops.c:522:2: note: in expansion of macro 'ASSERT' 522 | ASSERT(dp->i_df.if_format =3D=3D XFS_DINODE_FMT_LOCAL); | ^~~~~~ -- In file included from include/linux/string.h:6, from include/linux/uuid.h:12, from fs/xfs/xfs_linux.h:10, from fs/xfs/xfs.h:22, from fs/xfs/xfs_symlink.c:7: fs/xfs/xfs_symlink.c: In function 'xfs_readlink': >> fs/xfs/xfs_symlink.c:107:9: error: 'dp' undeclared (first use in this fu= nction); did you mean 'mp'? 107 | ASSERT(dp->i_df.if_format !=3D XFS_DINODE_FMT_LOCAL); | ^~ include/linux/compiler.h:77:40: note: in definition of macro 'likely' 77 | # define likely(x) __builtin_expect(!!(x), 1) | ^ fs/xfs/xfs_symlink.c:107:2: note: in expansion of macro 'ASSERT' 107 | ASSERT(dp->i_df.if_format !=3D XFS_DINODE_FMT_LOCAL); | ^~~~~~ fs/xfs/xfs_symlink.c:107:9: note: each undeclared identifier is reported= only once for each function it appears in 107 | ASSERT(dp->i_df.if_format !=3D XFS_DINODE_FMT_LOCAL); | ^~ include/linux/compiler.h:77:40: note: in definition of macro 'likely' 77 | # define likely(x) __builtin_expect(!!(x), 1) | ^ fs/xfs/xfs_symlink.c:107:2: note: in expansion of macro 'ASSERT' 107 | ASSERT(dp->i_df.if_format !=3D XFS_DINODE_FMT_LOCAL); | ^~~~~~ vim +522 fs/xfs/xfs_iops.c 512 = 513 STATIC const char * 514 xfs_vn_get_link_inline( 515 struct dentry *dentry, 516 struct inode *inode, 517 struct delayed_call *done) 518 { 519 struct xfs_inode *ip =3D XFS_I(inode); 520 char *link; 521 = > 522 ASSERT(dp->i_df.if_format =3D=3D XFS_DINODE_FMT_LOCAL); 523 = 524 /* 525 * The VFS crashes on a NULL pointer, so return -EFSCORRUPTED if 526 * if_data is junk. 527 */ 528 link =3D ip->i_df.if_u1.if_data; 529 if (XFS_IS_CORRUPT(ip->i_mount, !link)) 530 return ERR_PTR(-EFSCORRUPTED); 531 return link; 532 } 533 = --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============7649916671072249217== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICLW6Z2AAAy5jb25maWcAjFxtc9u2sv7eX8FxZ+70zNykkmw3zdzxB5AERVR8CwBKtr9wVJlJ NJUlX0lum/vr7y7AF4CEnJw500S7i7fFYvfZBZiff/rZI6/nw/P6vN2sd7tv3pd6Xx/X5/rJ+7zd 1f/jhbmX5dKjIZPvQTjZ7l///fV5uzke/tyt/6/2bt9PZ+8n746bG29RH/f1zgsO+8/bL6/Qyfaw /+nnn4I8i9i8CoJqSblgeVZJei/vrvpO3u2w13dfNhvvl3kQ/Mf7+P76/eTKaMlEBYy7by1p3vd2 93FyPZl0sgnJ5h2rIychduFHYd8FkFqx2fVN30NiMCbGFGIiKiLSap7LvO/FYLAsYRntWYx/qlY5 X/QUv2RJKFlKK0n8hFYi5xK4oKOfvbnS+8471efXl15rPs8XNKtAaSItjL4zJiuaLSvCYcYsZfLu ega9tLPK04LBAJIK6W1P3v5wxo67JeYBSdo1Xl317UxGRUqZOxqrRVSCJBKbNsSQRqRMpJqXgxzn QmYkpXdXv+wP+/o/nQDhQVxleSVWxFideBBLVhjbXeSC3Vfpp5KWqOBuvisiob0imzPt9cBzIaqU pjl/qIiUJIgdKyoFTZjfj0ZKMPZ2X2AXvdPrn6dvp3P93O/LnGaUs0BtcsFz39h3kyXifOXmsOwP GkjcACc7iFlhm1KYp4RlLloVM8pRkw/jvlLBUPIiY9StKAgX1N1GyVO/nEdC7UK9f/IOnwcqGjYK wKgWdEkzKVqdyu1zfTy51CpZsABjp6A32Y8fP1YF9JWHLDB3H+wGOCxM3Juv2I7tjtk8rjgVFZ5E bq1kNLG+t4JTmhYSes3cw7UCyzwpM0n4g2PoRsYw7KZRkEObEVlbh1JZUJS/yvXpL+8MU/TWMN3T eX0+eevN5vC6P2/3XwZKhAYVCVS/LJsbPkiEaLABhYMBfGkqdMirltfOpUoiFkISKdyKEMymN8r9 gSWopfKg9ITDNEAnFfDGytPEbnz4WdF7MBiX6xNWD6rPAQnXpvpoDNjBGpHKkLrokpNgwMCOQXVJ gj46NU8/cjJKwbXSeeAnTEjTMm2ldD5gof9iLr+lqZ10bhBbxJSEYPoO/bSnVgQxTEWd3dYExeZr /fS6q4/e53p9fj3WJ0VuJujgdjFyzvOyEMbGkTnVJk95TwU3HVgr8ZNF09YxUc3Q8+z7iAjjlZMT RBD/SRauWChjQ+vygrimFiwU5pQaMg9T4g44mh+BXT1S/pZISJcsoJcXBqelOZ423S8ix4SUV3aZ ex4sOhkiSd8dhmPw9XDWe1opRZUZvyEG69/dcBAqOZDc556Fl1gZlQNWO/2YBosiZ5lEjyxzbsRR bYKIQtT8LXgAmxlSOP8BkWrXupGGvGo5cwzLaUKMYImGBvuh0As3jED9Jil0KPKSB9RANjys5o9m iAaCD4SZRUkeU2IR7h8H/Hzw+8byZGH1KGToVKmf5xg28O8uvQZVDvEjZY+0inKO4RP+SEkWWPhp KCbgLy7Ip2yu+aFdq3FsAeAxtAtrG+ZUpuADcT8AUiYu01Q71fDNtlEMxzRxzUPDQCNsd54ODGjh xKqWQ6FJBCrj7vjtE4A9UWnPtZ9UCUmLYwRa5PbsBZtnJIncm6ambvPafhAgRbYpx+ARnd0Qlrsd e16VoIq5u1G4ZLDCRuGuwwjD+YRzZjrlBco+pGJMqfS2DalKjXi+JFsahxlMyLXXSIajmuTEpRS0 KpVAmHnbIlCJUL+pqU/DkLraF8F0ctOGryY7Lerj58Pxeb3f1B79u94DACEQwQKEIID9zJD2gy36 qSxTvY9tbHN6PEjNiIS8bmHtdUJ8566JpPRdhyfJjYQFW8PucYiqTcZl21EZRZAMqqgL+occDxyt +0RKmqo4gRkwixhIagxqHLU8YsnIxhqN2UlsZ1cM8jA/IY+GPSA89XH3spARawTkJExKmLFmOmb6 CCC8Ck3f2uKWeEUB3ssxAyyP+RxCAqjIcv6dgChTQ6WQKy40fhNlUeSmx0NQBBHGYCirKXbrMxqK d3jByoc2paYJeFlYlA9uJFNJn7kmJRfWn7f7rWrnQSder7NJD4EXlGc00UeMhCG/m/z7caL/14rc 4+bcGyqfACZKWfJwd/X39niu/729ekMUDhwkhhwCn5D87q1OUbKAk/iDouhXaPJdsZAtvysTrzDk fFcsKso3ZaAbsPG7qw/vp5P3T1e9DY+2UW/u8bCpTyfYmfO3F529WCi4zS0fq+lk4ko6H6vZ7cS0 c6Bc26KDXtzd3EE3NkKKOSZ8RkBOy9Yk/QM0782xPWFpiJUqhBCGB2+od1cbED7s6rvz+VuZTP57 Or2dTSZGkahtDoAhoE438JayTF9saLAFihzPv7ibWnELYUuokEpuo8j26Kxfd4qASaQ+P+unv9Fh P3kbsxrZ6sJbH2vv9VQ/9SNjVQACoHnKV/BbQSI4Z9eDcwZQqiQJglaAtksagEcFqcngpIIXAf8w +XczaC0VNNI9/97yhnHHVpn/evLysWMpAtZYt3MnzFZWmXF93HzdnusNjvDuqX4BeYhsY1vB5UVG 9I/JUnlehJ6Szcu8FGNXiiWZCoERNjeRuyr3Xc98Jqs8iippGW01JzLG9CKvOMnmdNBsRSCwYkai C1Rt+dKemZIUNMAoa8VATXLVQmWuajrGVPKwTKhQXgQRI4IZI3ed69ptApE+EXez8fAxEUaCCSk0 HjWIJivCQ3FtcDQS0OpAZGhHR1ADjSAEMwQUkbkHGH9MoNHV1eZBvnz35xrs2vtL29DL8fB5u9PV oU4ZKNZYqEMh7Rq0mI73tGpxWxvo3xppiAa+Y2tGKp4iyjYzUhXqRIqjT+39QaBdqZxGjrZuSNCu qkKUaRpFwyyzIfw0JRo7c+LlZiI86ErmJiTu5+mi6Tk5poO8Qcak3dxB/Qbn9qU+e+eDd9p+2XvH +n9ft0fYhucDVl9O3j/b81fvtDluX86nX1HkHd7jmNtvjCNiMr20cENmNrv5Eanb335A6vr3mzdU qWVupzOnytTJujp9XYPA1YCPpwm8sXBotGWpjP3y4J2YmaQ3PITNgDuYEAB9+9pJxVJEgNagkrMU bAq8R1gtMCVy5aVNXa37CdEgEAxczaeSCmlzsDLhi7mTaN1b9GUMSeecSWeFo2FVcmqhkVYAkfWF ggNW45rQr1ywK4VAoZUvhz0DqUo/XZBXtasqEsNGQsV84s7HUUBfuEGWEPCHwomqi/XxrEC1JwGI 2IETIjOT6tA2AMPlC1M2J72oYRYizIWLQSNmkXtMNJiKqYH0E8Zxe7eAtmTQT946d8j5uxqrtRKQ ZLmGgiElaoNcRt5LLR58QL7PZt1AM/zokxNF2EN3yhHZ1KgdZs12iIJlyqf2lWP6b715Pa//3NXq UtlT6fTZWoTPsiiVGG9dVqKZIuCskDBxmwynMjCjKqdh2UT/Zv6XxlcTSOvnw/Gbl6736y/1sxME RQmRFjZEAgTokGLNBLCgAXGay0Ym8oTYpiEKSGurQqrwrVDuzaCRj27GbNIQNFQY3Ba6aCrF5xR9 knXpA2bMybA54jddDzAGBDwRGEAETbAChOSbMG8hDFW0V7wpaAHGyXRiejP5+FuH6fFSo6AK2VcL o2mQUDh4BEzPzEKIVQwApHmptt3xTGyERMIpEXcfumJBgXlOZzWPfhmaxv94HeWJ6/A/KtwB2jGF Gxoie9f1kka+uAtYO1hYmwAqQA2oizNzjfOyuHRRv0Clqkt505wvW2yv8q4qkdXnfw7HvwCYueoS YEELKp0eFg60q+B5HxbqVoHaizDIkMUTdwkS3IN7LKDjSwmE6SnhizdlivhBoWXQY1oMClG9KIBW aZekO6LT4ffppkwdPQpZGH6HsxDSE8MsNKVKeeEOVpodRO5y7jIhWfX7ZDb95GSHNBjorc0DEss2 4efswpJI4tbp/ezW1S8pDFRRxLk2p34bKaU43Vs3KsTLHhVP3KsJXPXMMBOYS+f4+MRQNGwGUQHa UnZHbf+6dMWMXiozHVxPVr7DcHWtVT8PKcqgHWRwzQUmdgZLRWxXVzajvfx9NiwWgudCj2Qi2MJZ qdf3aXHfPhaG2j5xaVTw8RekUKHNr2SZDWTSmPUyzZ0hDlRwZj546hlBQgAPG6V5JPJ7DBYPVXMv 0qr9UzJwSN65Pp3bxLRxbCPWgGE6MaNaRlJOwgtXIoGzfuybEBuL8TTkFoVHuEMWIm2JlZSupx3Y TUaLQRMkVWlQac9zuRnm2RBmO6/Vc2MWFjZBWD8TOhgyoaH7EhYxuIjw7Z17HqNYCjQBgExSIQdj tOSKBmF8abBOSKQX3KKsIkpkyek4xuua1+61Ph8OkNA+1X9vN7X3dNz+rdFv3wWmNIm9nUFq+BDY N5lYv+OA+bIUvpOoLpxFKQqahbbeWwHs3lZHx0rdt5CGBM5l0GtJuHTRqvhmPI5i+IFw5bGGBJHx 9cLZaasuV79k/tu9K+Y3CwjS2eT6fqSUgkwn9yNdRqjggegyVlmOZZF8eSHBaxbhLmteMox2vBXj NNHVgNYRRHOMWVPD5yaKoLAXpPn2xXgjjTkxTXJEryvCIcWZu89WJx9QcPTtxVmVZ6XzDrCVxnwf ZqoujQEkczoP/fGUVSWyqSgrEfjx4Fhah8ULN3MIlbs585AYl1njRa3cPiMlwUClLUXVD7kRdjsG DzBJEJKbZ9bkdvnEj0jhI+L96Xysd9XX89VIEEBi7GiPHtJBHinI7Ee0mF5D+j5AW61BMivf0BSC f1XFAsp9cwFgPPeIFsz5VALj6kcjCujffX3AJg9wTUBYZMIn/H05p0Im9ANmb2ABJFr+Movsh5gR 7AibM0mcswduFjBzDg2pQq9zoUVsFkSQIOIwCXoQsT560bbe4T388/PrfrvRFzy/gOh/Gq9gZTrY BSoMb21g6AujRmExnCeQKjYLLjQostubG3uiioRNRuTrawepshxlT8YOTIXr20tIbUNbuiOPh0Tn OugDKKOt1FQ9nrV0IWdT+JO8sX4I73pvRzRXh9l9MVS+PeB1tOLZ7XA8Awf+0LYb+a2AJNH5lggP C4uMykOyAkicmQ4nIizJlyYeozKWeZ60cL21xlAHoXCITtSdkFXZG/5onl8LJ3H8AhWZ/Suanqgq PrpGY94MUnLhDaLiicKV6SKrKmRqD5oKNiI4n4+3PHWLFME8MUEaLA9j3pA2cFpIAptWpRaaqQs3 xGUDTcjSNy0MafjMSDqfzCBXV14MAsuXNgGSnQGB6BTH0h2mOJhBUbzGvKhhJdVEqreFBImc791a /oXnewaf8hn+x/2cIJdFUirxcYUcaJvD/nw87PDt7ghgowoiCf+dTiaDodVXHa2NXpq9vpseTVo5 LfzGQXXiuNLHm6sV3tLjBIMD/EW8vrwcjmdrapA4rOyDAATV5ZhaJOQCtW1gT7FlUnfyogydCvvS oXNUby1AV50Pf4Kmtztk18MF9pW+y1I6tq2fanyWptj9NuIXDC5lBSSkVnnXpLq10DI7PV02ZEuU uhIU1NkfH2ZTewaa5Bq+4Qx3oP2e4LuL7+5e3EbeHQC6f3o5bPe2uvD1mXqZbE+2pTZvb6OBQ6Hg gIYJc0vPpO9ciDWFblKnf7bnzdfvHk6xgv8zGcSSBtZ905tddNDuPlG1/WeTgFcdQ0LFyUpVrUgW DsJMQLi71MdJwQZ1mf4NynbTxEvjVUvTrtRvG2KaFGbwtcjgl2VsfbsGkFWmReTKtwB1ZyFJ9CsP 4ymj7jBiPIXkjuov20azjbbH53/wIO8OYHBH41ZopV4UmFPsSOoOIIQerYfTkD90o1lz79upB/Z6 iY6F9HLWdXez5cOZdskwvpzBy13jbqxh6XttN29ANRSNmU7I2dI5x4ZNl9x8iKGpqhykW0J4T/Ol tSGKS8RDFrQy6ss6xxjdm82ibD6kMIaCFNm6kdO/bXTc0FZG7tqQ0tRMqdq25tdwDU0EgYHb8UmU iGFf1aZH9tUDMiPlG9WL0stPZ8eHonv71ac0bU4Zs+bo9smoJl3M7lo++o0WWz7/ZD0W6yB0e/xz wMTqdZsxzjwTzvcw0rpYg59qS8cv9vq78Jf18TS8zoZmhH9Qt+juYgtKGC8R5IW5ADbTbKM+IbHI EqpvJ95ghYyrNT80DzXeTS92UJVZ86Ta/HpoLIYJWp4lD5aLHqlB6aGEv0Lk18958KW5PK73p51O dJL1NysE4Eh+soBDMFiLnvmYVPHc3KRIulN2aSWOMqm4AbSYzedRWGlC/95ORKELE4q0spqqbcqL wdwL/SXQwJa6ZxVwxlIiBvV0/ekgSX/lefprtFufIO593b6Mg6aynojZI/5BQxro73gtOpySykGG 9uoKqXmSahWEGnaW4zfNFywTBXwIOA+Stp8+jzpIDP7lYxDhSc5TKp3fm6II+iqfZItKfflWTW0r HXBnb3JvbC4OzqYO2qAXSD8cQliHxn8HYKzYNBQyHNMhipMxtZRsYE9gBANCPiAQX0DgN13fG4aj 4fr65QVvnxqiemKspNYbfOk89F8YnWFxqL/iYs1Y2XT8INKLZqJ0VC3xSSwfnQZA2TBrZyz53mz1 55z17vM7hIbr7b5+8qDPi7csarw0uL2dDs6pouFXVhG7t7e4YQ3SeuSIRG/QQA+jtZhmKMMBe+jV Zjr26ORxe/rrXb5/F+CKR6UZq+MwD+bXThV+Xzu6DgnA0tYTUhRsGi4R/BbyLqwC4TWy20Xw9T+/ QlRYA2rfqVG8z9o0+zzHMS4kYCRhw5EN1rAGcEEqlM4+gkGZYiyR3jP3N8edxLxgrn9VouOjXWOt w7a0Znidvo45hBNBMuec9RlK5ukoWKTb08ahQ/yPYCMLVTwATLn7vrPXIBOLPMPSxmhAGgRgXl/A oMb5edeemv/MiUnFTC8mAE+z+XcFIM4Gw5hiivlB7LR61wy72iuaulpHUoQh9/5L/zmDTDP1nvWT JKfnUGL2pn0CBJF3gbUb4vsdm52U/iCIA6FaJZWMOf77EUlovUJrBXzqN/9gymwy5EWAKtJxNEbW PCmpf+noqH6bB49Wy/gB8jjfeQcYSmOf88j8Oz69ktJ6BwxEfHOI/16BRaSEJw9u1iL3/7AI4UNG UmaNqh7rWdekQLOSnTxS37jwJYIu8wmkZuCDHYuG9XLr8zpVCE7xm7y2HI5Azv6g7hIBhPsdbmkw GUaSMb3AVxZR7uoELzepfsVivv9VXHL/++8fPrpfrrcy05nz0XrLznI10/Fr6pEHyJYpHRcykapD huNBtmriQOjYRn16rQoh3yx6RHzwVGJIte/sluqfIeLz4ZO89ribU+38petmjYS3s9v7Kixy111e WKbpg7Kpfsdiksnc8rCSReno0+w22wjEx+uZuJkYUBPiQJILfDmCtmnn/zHk60neD0eKUHz8fTIj iflPG4hk9nEyuR5SZhMrjaGZyLmoJPBub90f67Uyfjz98MH1zV4roObxcWIApTgNfru+nZkjhuL/ ObuWJrltJP1X+mhHjNd8k3XwAQWyqqgmixTBqmLrUtEjadaKkWSF1N61//0iAZDEI8Ge2IO61fkl QLyRQD4QZgUWsoCB1ITfRJpLhfJ1ZOWh0neSmtE7P4hqhhr9tSdnfT041azmPx6rJ6UiXHXGEQx0 d0Or+BLeupuZpN/JGCV6LorcVEdCsdOKwlsyZUWeIil3MZ0yf0J+RrkXu1NfiVraiasqDIIE3/bM eix3H/s8DGZZzqDZKvaVeCeMXdrlWCjDHX386/nHQw2GCn9+Ef7jP35/Bp+dFzjYwycfPsOW+4FP sE/f4L96LJ+7GQjm/5GZO1abmsUepS4BCzQCh61e0zFW9KTNqD1t79dH+28wjLMGHGkoBJ/QFcTL QFTkdb9cAD74cD0W4WdRcifYNgzBUiq9nYzVSh54KKtnId4ZssL9pu2MC6yB1CVEDUP9+CHBWiuR 3HBIF5RVT6xTITCP9HdZy6UKJB1mf+Kd9+9/PLw8f/v4jwda/sIH58+azZvaGZh2RqanQdJGhHZE aPRkFX5ZUS06/z9cn5vW3gJpuuMRt78WMKNgZwu3uUZFx3mY/rAan/W1bGyrAAeKkmvxE0MYxOPz 0Jt6z3+hCey+A6rQcDLLlVSAQ++OjPXwaFXUabib8B7FtxMxknDxHBvBy7wdtcsRBiEcTDWoCuqw 78CrdRg644IaQMedW8+rF20gd31N0yacDb/+8fUXdjg8fH1+4UL6wyeIivGv5/faIiayICd9GRCk ttuDb2nTt2AuXNOn1WN/SYIcCAWZVldikd52Q/3W+kTNd7gwi4wNQeYNaiuRzldnVjfm/iWIB8xB qdVNRdX01C2uW34Kqs9cWDdIsL4EDiV0KS5TkmYGbZUEdaqwPHgybOeFuw1m4qlKXbZCDTbqNh0r Zio1vHoGkcnBlLdndnUL3fKV/FgNwpcZX0QgkxoOiTXT/ZY4uQdvWzaC7k7FtNK/cgG7wbpH/fk4 LHwF11biFHYmvYg3qBPHUy1ufq81OPYaZ27IRDgtfbEpfKl4a1BvQz1WlocTJ1d7Zv49EDMzoarU KW2tpuxK4suv0BYKR1SDGQaIIVO293fVgN26QM7uyNGp97eNB2Cj9Y0VOqHOTAZL3ZlVlkFZDMrF 1KKXrYjHhTuVtEo7jH+Wn4+5UGvkDvFtzKmxEGXsm6f70HWjsNVkNe7OtKbgoraPQyrnfSh0ohgk 6BVBi7nyyjObc14cuQxWi7mF5AQguPHXhu4HqL3YU7DSAQrjCzuMzJ4vqjBryx4uZlAG+Tfs7TYP HEdtkrE1K5owlD1Wv/EzuKa1khgdfcG6BIwIKNKTtqqqhzDeJQ8/HT59/3jj/37WJMI1m3qowJAc /4YCQdHzhO7Wm5/RDuLC2haOsLhZ5NW9uay/fvvzxSvK1uf+YvprAcHxCzHAwwFud0yLeYnIeLDg iLh2jURawtfZ6VFemC2ay88Q7WWRAX5YxeJbPjjGV1f7MzMdLDYvkxdldKiq8336LQyiZJvn6bc8 K0yWN92TYdgsqdUVJcIJ74ve3j4rT5mALzD7jgyGqeBMu5OyT9OiQJrfYtmtNV+R8XFvrOcL8nYM A8+thMGDXktoHFGYaSLGApTKJW3IihSBm0dZLpsON/xocQEQfmHo3rywjZRkSZghOXOkSMICQeRY xArZFnEUI60KQByj5eRLTh6nu+12bSk+X1eGfgijcKui5+o26k6AC9D1/DTWgf2MizHSssv5iCFj dyM3fRddocvZN4bqt4yLx1vF7PgMT5AWHNvoPnYXeoK91YUnMWxdOiV9GE5YX0nHKqcdx0d+/Kip s/zAfNfuGzoRkoxFmgQ8k+6k0V1iVvr+yQoIMwN866j5796jeV/4+PGW9GPtGQsIHxcRcX3Aykuf kEAmMyjcysW132YeXJrikgM9YZWeMVkUjAO041VjBtvWiiD63COJrWwHcFuH72wWdC6DlYG85Pem JH3fVKIcdvH5GEp3eWKT6RPpiT0yoCGUWZj1+RlxHRFwtu1OvbJpmgixy2Svk6rmy0jB7+dsLuum dtnoGASFQ8suWUQUK7wPFQM0r9xLvWKDCr1hpSyKvi2yYLp3Zz6LNz4hGDE+g4uUeZg4IoGk2t2n sLGtGlhoRB28Ge9bEqaB23pVPAX8ADuO3UbN+R6RZ2kgy+7mIfFdfD+JftrKp9hF6ZKNC+5ylYcj FNEwzov43t8GWVgnecu3S6yCYiPeV1XvcRjQuMqKduXrbFeIrbnBRMZaGHyOFR6iYJGhuLh5Vpze Nnucxjc7u7J9d6sgGFhlA08VMe9gJZm2YeBkMlTjxWhPe070LEujsFh5tibQrcmCJHi1bS7il7e2 PWlawrZK1dNDkeaYhlLht1b1tt0IgIjiOQ3xWAQpfBMZlaLDhw6eOIBb46508y1JHhWBGrfMLXFJ dkGavro+AFsWv7I83LggF8Ia4n6GlFMTJ5hwI/G6BVvYi11BLhJF2c5pE9oSiALpDiRBxleicrhG sBKeNqQEjTNL/2POHONUfENbJ5beSpAMl0JB4RuXofEA2iGIfXlGpVIhadbQIkkY6nVXNHyqSzDG jiQKSty8YuJlTxO7MGk6H0hPz98/CIv4+tfuwVY6VEZcC/En/DQtESSZn4GNs46iUpARbd6m3kuq pnUD+kBuqHIYMKWznXqmJFgrrVLKccyjghbFYVFreZqZmQzUlI8Vud8jVHlW02t3sRrsSFrhdqiX dqbdz4wfZjHD/ZmhSdYvLsSqvYTBY4ggBy4nhLqpENazy8ULdj0iL3Z+f/7+/P4FHGFsc3qpvFxq csXaEUIi7fjiP+re91Kd7SWqp12iNFszb0qhHL2MnR15Ullmfv/0/Nk1ppJCsbT5oUZkMQkUVoRh jay/iIDE0UUShFmaBuR+JZx01t0mdaYD3E8++r7JSaxDnW+NkhlaUw0wfGV1oJp0RYqOtNWZi0V7 PNl5EP7mWtg1HR3goZy22mKpprE6l7qdv/FtcoaoN1Y0SJ2DsB5CoV1tr3eUWTiTgN3Ma81X8TPW qIy20JwGhi2eRh43I46kCeEtPYxRUUxOGnC5WPV10ubpj6+/QBL+cTGshZrb1b/L9NA0Ta0LcRaw 9mJocVDz8ZCVOI9DpH3eMNzoWMGsPtTXjfHLKD1Pvb1cCyDMapajwVQUCz+oZvE0IYVSyOvTR+0K b0ZyFDFk7DZTuBlfxsXgmCHHrT3qdaY9uZQQPv83GQ98g3NtbpNHbXJ8j1MlsituMmD1t1PwLW0L HnrUkkqCB9bcm95TlBV8vRv4X3xFAmVkfawpX9LdxQnWpXdhnDptwvrBXU6A6G1FmARoj86A0JjI /rSnyMKiz4jF4N3YdOwK0HFo5I2F/d2zNBAprbvvQUQ6s83GVouyJ9qQElV7td1EpNl2o39OkFlL zJgnYF8irqmPpsqDoRE+7iqGyPL3kRk67XP3rms94SkuTeMJ/aWe+eouox68Tj0eAUfPNUzbdXZt RMacCOmLXiPxz6o3brTsF5oMRf6bJl8Iui/0Q28Zps4Cj4xQ5wy7um/ru3yRZ7CowtHbfFVK0sGs UAYoN/pkxUBD73mmRnBJhZgYBMOBoGYpgk83wZIEJoLd6CTxRmTZHS2yuC/oDgej7Hvny1rf3SAs fan7Ei0k+bBP3Rme0yu6J0kcYoCK4KNtICtG+ZRDDSNWlqnuT4btgFpBT7ea6h6wcF3KVyatbLya 0pp7VUZX10ffe0PgnOL6++pJ7Xk+D1LK//UtXsERjT8iktTMOr4qqqm9loxw/0qHFDtP6iziTtDJ UF7ycsq5Mi8QdPx8uXb4XSBwIRlfR7BoGrrpCcuSjXH8ro8SzwUv78PmyboUn2ki0MJGGulIsEZI cI47ep/KThgubBSPiUnHclfXzAvpqph1X2poIqGqAacOY8JDz4hHDrD5CyCXcU3dKye2l2kWHds/ P798+vb541+8BlAO4dGFKOpF/w57eWjlmTZNdT6ii4bMf756d6jy2xa5GWkSB5kL9JTs0iT0AX8h QH2GjdQFhupoEsvK5DfqClDbTLRvrMALs+3rVrvpX1GxFMzQOotCwywRaY7dXnsXl+e7HMLBc3zt FxXC4oFnwum///HjBY9iYfZfU4dpnOJ7woxn2M3Ugk6xWQnSlnmaObQiDEOTWM+XCzqN4ZoDDvV1 PSVmDmdhPRmZLXa+1mVN+LC62JmzmqXpDou9q9AsDpA0u2zyts+1xk55CumF0/c6n8Urog//BH9/ 5SL60xfeTZ//fvj45Z8fP3z4+OHhV8X1Cz++ge/oz8bsv1NYbUx5UA5bCGUoommY5zELZA25+lHX 5NNmMONIAlq1FfrUI2CqnAa/WCvmR6vfCHd/b9t2Qhnvhfl0X4rsKcHwGE92CVjdjh67MYDdV31U LH2+nn/lkjrn+VXOsOcPz99esPgwotXqDrSUFzMYm0Cas0cZEy0+Wr7qdPtuPFzevbt3IHBZFRtJ x7j452uLsT4/mTHo5CgFVzlhQaNGavfyu1y/VDW14arHSPIuRMaUkqHCdIo7AgVJuYs4nSUw8LS5 WEaIxggFA1fbMm9FYAndTDpv+1rVnNrEhpqBQuRsTkMiIszS2U3DjbsKfhjZTNnWfS04rLCtrMeP SKz3nJ1O6Gms781AQj0SuGQ9fo09cDjTAWjvP3+SjjBO0CueJT8dgqHwo5DQ1yGgQeI2Vm8YDfNP A41JSRNLef5bvHv08sd3d1Mce17aP97/G5NiOHgP06KQry67E/+reMCiPz019V68qeaNiA+PA338 +MDnD18bPogQI3zBEB/+8V/63HHLs1RPSR7rdb8KuaOAu/Omc31udcM9jR/ElfnhQzMF/A//hAS0 IwZMD/VtrDdUqQiL88hQoMyI0CViG8TM0NI+illQmFoyG3UReBFIPzAv9ClMdWe/hT62B4QsDQYi M8iewqQKeKPsQl3rFq2jVdONWI5r/D1mO+TL8AN8CP94/vHw7dPX9y/fP2Prro/FLgQfzKczOZIB q3MJx1eHTlmSN2HqAQofsAt8gKbGguoat92KIJy/hWm69A5Pw+Vpt+5gSTpzknp4C23oDlS7TVcF GUgd4uVjP0zxCxqBORFBBVUYLIqxpr9o8+X52zcuyImyOKKBSJcn0yQDXn2xyiDvczfKKEMx+IpZ 3uAJiS8GzdTaSPFrhF9BGFj1WRYCRw6U8GCbTgnyqblhdqUCA3s+eqVOmnZfZCzHpWrJUJ3fhVHu y5eRlqRlxIdbt7/o40CiPv2BQrvJqhnEdjXf2xVkVxQ0+go8fYQlnP1CDDYClkOAoH786xvfSazj mMzVa7Ks4HPvtOYRQmZ6+0COUruvBTWanDoruq0BM5nEQTv2toyA88DJWxrMbPT62Nc0KkLLtFqT yqzGk9PuUL7aqEP9rjtjBzVpklXmQRoVVgvtS16JsL1drcEijWhsIhfqrfRvyPndfTTjc8lJ0ce7 JPa3QtMXebw1N8TyvYXLLe01DvTuTnaU2Pic/htoOqYFdhegeo/xPIvMqfBsvrWZcBdGbkJpyuVL J02QrJ7gxN0u0W0WkAGyRPt0Bo4xAsZisrMX0Yv54e4euvUU4VgF6Hm4UbZiSeMoxN+NRYokPTzY fruoxjFuyQ5JJrK7fvr+8icXTTf2KHI8DtWR2BEIxejhYvIFjw2LZjznezOMlW4hKD0cCSj85X8/ qQNl+/zjxSgYTyIPTcLvoNOkuRUpWZTsAutDGoYGedBZwptxb75CXuFiZWHHGm0WpFJ6Zdnn5//5 aNZTnXtP1WCXRiLM0hnYOFRVF01NoDBaTgdEwETxuBLOEcZocURiPJiLwRNhi4fOUXgLbd7MmRDm 7mFyxL5c4zsdqDVcNBhbs3QO46ihA3kR+IAQL0tRBYkPCXNdzDCHjXbKAN2afBsbO7QIFN4baTS/ EZ3qRIMvicQNc3llOS0AvMelZSiMogsWYk/hTs4iDq2TrQL3ZOQz7Gkxcl9LCdqMo3herk+DzFhj 5kSEjsUuSTEBYGahtygQRx8nMfRZhu1BOkMR+JIW2OA0GDTBYaazvbH7zlXkZOy+SPl0Q6IvbiH2 b6N8wt8XUhy8S8Oc77Pr6LOQyINE+u47F9LfQzXrITe9kDMkRlWAC0UzD8hF5pHAYfGu0UseY5yl WI+sDDQJs6jxFDJM0hw7lcws0iysU7yZrgbRchHCl+cLwn1h4wu8O5MwRVpXAObWp0NRulVu4Mh1 QxkNSOFzTjcDUOhHfx3YFR4gm5CsWLuPk9ylS4ES+4aSKHN3XB7J5VhBL0Y7XUU4w8OYBvpmMGc4 jHx9SLEuUYeDrbYrd7tdqq3dp5vxyKD4k0tohiOgJKqbayxq4VmG9UCsUVVYqzJPQu2jBr3A6G0Y RKEPSH2AIeaa0A5pFIMj9nwuzHNPrrsIFfdXjjGf9LgcOpD4gRD/HIcyn2m3xpNvRyCTPJhWceE4 jWjZWJyjcc8Io/wAhy1TC8cEYRPP4jnhoWvwTMDsdbvk49RvfYXyH6SGF4SHzi3+jPbsgn1fWK6M lecRwoWLWSdVB+erMTKM7FP4TK/Txztp9y5wyEMuXB5woIgORwxJ4zxlLnBk1CXOfmGkRMBjk4YF a1EgClCACx0Ea1cObI9ZpWLFDGdmllN9ysIYGZL1viVVi32WI32FG9YqhrHI3Qzf0CRyqVzKG8II D/onIvagZiQLx3K1jSUXS//WbJQcSFkVYGoiDHCHl1hAuM3rwsE3bWQYAxCFqSfXJIpeyzVKkEkg gAzpXgkg5QBxJUIXZUCyIMMtRAymEHfdN3gybCPVOXZIv3B6HObYcIWYhXJ5wD6XZfGrRcqyZKuJ BUfq+7K/sDssCe1jdAceaZYiOzkXcqK4QHurOh+icN9SW9RYGIacLysxOqxa1JpnhfMYGTdtjg2z Ft/HOb3YbPemLbbWfIgRgedbbA9DzoCfD1aG3faHdxH+YVQk1+A0ipEeFECCDk8JbS1TPS3yGJvE ACQRMvTOI5VXRjUbTWt4hdORT0C0aQHK8+3W5Tz8nLs1W849bXNdwl+LfCjSnTaSe9PQbeHDySAz RlnmAbChua+ae3+oXIBvY3d6OPTIV+oz6y/8lNqznmFtVA9xGm1KZZyjCDJkINRDz9IkQEdCzZqs 4KLDKwM3SoMMC8JqbEJ54dlJ4iLcGmtqkUdKLlftAN8yoiCP0R1RYuhB21wnC6TvAEmSBF90i6xA Djdtz+uO7qJ9m+VZMmJXSgvLVPHNC63H2zRhb8KgIFujnq/TSZBEiJjDkTTO8p2LXGi5A6dm5JsA RcH2kWMq+yrclA3eNVkYYIvHrQXZ0AXYfmQ1Vh7GDy/bCwPnMKcFxhH/tVFajlNkiCl7TfR00VZc JMCuNGaOigvkCb4HcigKPbdNGk8Gd4Lb9WoZTfJ2a5zPLDtkfEhsH2NyBBtHlqfoisHaNss2z5sl DaOiLEJ0OSAly4toe4cmvPbF9lp3JlGAjGygTxO60J1JHL0yUEaa46qzheHUUlRxuTC0fRigu7hA tvZxwYA2GUeSYKs1gAEV7do+DRGB6lqTrMgIAoyh8bT3Si8i7DrlVsR5Hh+xQgNUhNs3AMCzCzHb AYMjKvEv79DpJZDtJYOzNHzxR98QM3myM3Iy51AW5SfkNC+RCoUsdbEQlUijX5gq0hxAGinczMFG MtZsNML9z1jVVsOxOoMjuvJ2knE27y1bI+3OzPobFDMNQlOKx3choirDCjg/137sIPh01d9vNcNd NrEUB7i2EZ7OGzXUE4jnEWXEU6ewZoZYYf/zQgLnnpyP4sdG2XxlgocJkW4tq+thqN7O0GYRqvbS EDCZ3Pi8eqxQ14kJiwvsA3MRhB3kUjhdlakc5bCZwPZ8CDFW7w2PVP3hcmBhynJaT0VrEUQbTT2j JnF++5HWwnsbT2kyoZhps7enLUHyArJ2Ow9MsrwQeRrlXnCMzDpqkdeCWgA7NISdcO5jS+idtoYl mIHjjyhJFqU7XT2o/vXn1/fi8UDv+16H0nLXAMqsrFybR1BZnOv+MzPNsrptaypNyDzmPyIZGaMi D3zvfggWEcnr0FQT1UfWCp0aql9zAiBCwAXTZLKvVlR/W6WY+iiYfNHWDuVqpWokk9SNZKsRq5FO kGNMaFpQ3cB1Ierap5VoxJkRjQ7z22O0BcnEdXW0UWx1n/23TcsihBbbtePUEJWKBPh/lD3ZduO4 jr/ip5nuM3dOa7G2h/sgS7KtsrZIsqLUi49vlas752SpSVIz3fP1A5CSxQV09TykkgLADQRBgAJB KTYNIbu4zzCEXTnJZvxNbHcUXXgBKB+MMkTj+E4kw/a5D6YQzx15bRXse/akeyIZDAiFOrX7dBO6 aABtSOKMOPqqGPaBvz7WlL08bp50U4axML2krFMlKyCgDllJx1UikifRs+Sxc6AyjfoHcS7I/GOy wtAlHF2DehZFG/oUNHIJaLh2tXrDyAoIoOMRwIiijEIF2PvSqdUMi9SRzmeYMlgKZBPgmCJOnZ8m 2XqwGGg/jhXSQ+1ELP8WLPV+CnFUgIdQdgsYsPJ636a9KMR3WXJLw3b5OvBH5bo1Q5Sepeh5BtJu 0zHM4SEEKaK/B8Wb0bN0NS9XAA6KsYtzVLQA6/GdUNf1xlPfJfilS8LyyFa1kxi3EZoZBVUW5dHQ Bz0SFT/925ZHTSqPFxC/tHJIoKgzIVBVg6r6Xo80mPvMonRVqZgQHumeC/Vp4sTgoeGi6ZUgsk1K /hpDq/ceoFq6VY4D/eXS/nh/X6wt12gjzDkW1Tt3WO99YTuBe0v2i9L15BzQrD+J64XRDQbclWNI nYAytTGG4tdg1op+AYbZHTwWnATKF+yv272z1sZYerZFr7oZbZwpFqCsaFIGCzXY2rI0GLqwBIya YcR41g2jY4qVlpVdvS8x6MUOVVNuxkyx8rI2vJYyHCxxZYNGAXWMMqmi7agNIUkjJZWkfN3eZGQv 1bTZDj06wz3j1qilk0mBC94lQKq6z7e5mJMFoY34bssE4M/94C1ngY0Z3kxHAoy4lDIesub2gSue IyNMzplwRO/tWHRZiMilNMLbOK/AB0/rexnHG9UalMD4TEUvp8eZ8Zu0HViqgi4rskR/ja68fH08 z+zHd7RED4ePNy7Z22bXHihtxFWMD3L0w0xCSQijxFRPPTjgC6leWxtjBP7PaurS1sSS+fqTCc/i VMXmr7d/NEbMBYc8zTCp76CJAo/fkZL8pMNmFrwpWv/r5XVdPL78+HP1+h2FXeAwr3lYF4LmX2Cy QhPgOK0ZTGuTq2h8X332Za+c5ahtPuJzpHkFYt3G1Y5MI8VJ+2MlXvtlbZZZ6cCPzAaGYS45vpRx SuCvTim3va/qNFP6uTlu8b6aQDpDhzIuQPf/U7gHQXFQkF0hS4bGX3WacHbMkwjK5u6I4sEZy6+Z PF3O7xdkE5OLP84f7Ibwhd0r/qp3ob3814/L+8cq5te9sxHfUAVrGeRevAdq7Pr0GPfvjx/np1U/ CENazsNAwkr6/XOGikcQg7gBhdD90/ZF1PSYLRcCyS5jWJY9BSzfnr8D02GsDvnIFBAfi0wQtGlU RL9FJXM9QeGDnN9Zf3z6uOBbjOd3aOTp8uUD//5Y/fuWIVbPYuF/V+cWVeeymlnF95d/fTk/U4+u IjGXcCapxNCQYtc1SSwr59LzLUfW410/WFI8LCtagKsoF2W1nTZZdaeQMniCafDEiRBQTR7T5t1C k/ZJZ7nUV5GFJuvrsqObwAxOTU4Z4wvNpwzvUX6iOv+pcCzL2yQphTxA3UlP8eJQV3kiBcctuDIm 340UCNoocG0rpiqu7kPRT18Q9eDZEc0CQLlUEnCF4hRRY2zixBEdcAkTuJZjRImHgQuqy/h7vUQ/ uyqCtgzmmUp2e0Y74P+4ocbDMJ8MHYB/PIsyi1UaemgM5dGzzpH0DSSVigpBU2h829yMTUeDC0R3 kXiLSUEk5NjuIpcWvK4/WGKYt4SxMbcl3VHULSF9BixQHaumONJ34heq3rdv64e+xvhgovN9fWww UTHR+34IPZeU7iGxlIvJAg6WPZ0rb6EZ85ZlpkwMT6UslJ8Td6T9TWZm31Nu06T8QbMq2vxz6/pr VZvDHN1nG+izAnYc5q2ynSV+OT+9/v7b12Xnw2ubWqLsyTo7WuBhKVbPBCWtwGR0XOnZHwnMrJln zWQgO8D2bNz+hDZmWLyNLFuQeRHueqqZwDDVQ5dRbteV4Oj74lHOFf7Zt6xAhyeZ77iW3rUssX3p tGVG4E5L+aIzvhwL27a7LVW27QsH/OMjKTwzEfzuDvQ7CzPJ59R2DSEmSNL3SLQ5pjvyRt9Ckor+ Xld2vP12kNm0cRJn+qjTyJmgKKx6GxBp4o7HVghW0j9QYH45S0L8qyJBih8BfkA46im2utdvHyyb 1NfLt8cXMOHezl8fX2lhZJKQt13zIKuQfZwcWimFzeTTJflPXcKkLvFOTi2/Iv7l9fkZjxeY9Wjy v3A5rW1tlfXDlNVq8ej5I1P4jGGJKdV0/8VRDh0WOLG8GRx8qlpMCbRg0pI7J/mOamd2lP4yScEN +VBkA0Wuy+OqPpVpP6hsYF5c34idWBeLm80/rkoG5sTVeJudkiS/oYd5PhRN6XHwKelypx1vYXvp BHfSpuaLM5wAnJwbWD1ryEKwLhYvmI/asKxvMQePLlQ8xSFojB1VGPk75KWZtUOu3FgTwHi+dLsg 8yHB0e/+6a9VNIyf6gu+aEPVyrScPA4BA6X7gTiFEdOucND55cvj09P57S/iQzw/hur7mOVz4dvy D1Q+Xy9fXjFvwj9W399eQQO9Y3YxTAL2/PinVMW84OOj8iFxQqRxsHapgM0rPgrXFlEww1cZPTO7 GYFDlCy7xl2T5va0DDrXFTMBzFDwVTzNXABo4TqxpuCKwXWsOE8cd6PP6TGNbZe8XsHx92UYBJ7a A4S6kQodGifoymbUWwGX4+G06bcnwJLnxH9vJnn+rbS7Eur7VhfHvqd+yZrTcokll2M7sTZZyaQD XkjTLDkGdvVRImIdUm7Zgvflu9US4uaSRZpQvKclgafTZKXeTR/a1AXQK5bdfdYLkUHsHHvoLLyE pMx8CXYaDMHXEDAdgW1rLORgfS/Gz0uwBk1w+cx8Xs6NJ72BJ4A9rWEAB5Ycejoh7p3QosNaZ4Io IiNTBTTBTYSryZKURTO6Dnm9cmJtPEYO+w4qSCyuibO0ZFTZZRwOKJ/CQx0mKGNlDQitXF5u1O0E xDJHhOH+j7B2DHd1RQrq0+yCd8UgCQEcaZITp5EbRhtiyR3CkIw6mKZt34XOFPsv8enKE4FPj8+g rv778nx5+VhhPmCNYccm9deWa8eE/mWo0CUVlqn6ZfP7jZOAAfz9DfQlfmSbe0AoxsBz9p1Z/xor 46Z/2q4+fryAga21gNYOXiex1dtJ8wMaSlG+4z++f7nAZv9yecVU2Jen70LV6mQErkUo3NJzAvKy GEcrn1snPvQseWuqfhqeTRNzr/iIz8+XtzOUeYHNyXgCAO5JhR+pClVM97nn+bo05iUwjzqgFNAR XYx8S2xBB8R2g/Do1hoEAvfGxoFod60ODaGeZpXUg+XE+gZQD46/JqGeZlYgVN+FGdTTB1cPnk/m JxDQni4WDE5dVZnR8hXTpVBg6f0FqKEJMrH5jA4c+S7JFR6Qr1Bf0SQnAz+goMHaonoWgilwQyDq IbrN1Mj3CD7YbuhpB2FD5/vOWoWWfVRa8rG4gLhhlSNeylp/BTeY20IH95ZFgm1bM64APFjiTQ8B 7GrHeAi2dequtVyrSVyNP1VdV5bNUWoLXlkX6nEBNwUC+yTlaOWoNo2T0tGa4GBtuO0nb13pHfUO fkxsUQxutnwAvc6SHWX1ewdvE29vyFVieM2TY7M+zA60KU+rYaahC4Dp7uNsDnihzqX4ELjUgk3v o+CGVka0r4k3QEMrOA1JKRoPUqdYN7dP5/c/jBtI2ti+p1kzGJTlE24kwP21TzJKboZv5E2ubrfL Tq3iZPebhwxM3nfy4/3j9fnxfy94usi2d8koEEpgPv+GfCdMJAL/2mbvND7TlQA+NO1bGp0hhane XkDGOslkUSimzZCQWewF4vV/HSnZySK67B2LzPmlEvlGljAstTQVIryYrUbIzDhb1JIi7q63ef5h sulR+1BJEnnSs8Aybs1x9MjGAop6ZC41jSzo6Qkok/W6Cy3XgEWL1fdMPeDiQWZEFcm2iWXZBg4y nGNqgGENgdF6P6gdUCTL1kZObxOwEi0DE8Kw7XwoqodQ8daPcaTsy/LCdmyPvhYvkuV9ZJO5iEWi FlSzoRcwza5lt1t6DHelndrAzLVjWieMYgOjXNO7CaHJRBX3flmlw2a1fXt9+YAi1+AWFt34/gHe +Pnt6+qX9/MHuA6PH5dfV98EUulzUddvrDCibOsJO10JVwoNVmRRl7OvWPUzHAB927b+lE9iOdRW 68dVRGoihgzDtHNttoqoUX9hby/8x+rj8gZe4wc+lSiPX6grbceD3KNZCSdOmiojyNnqlGBlFYbr QPm4yYHX7gHoPzvjZAjlktFZ27KCu4LJJKissd6VkyAj8HMBk+bSBvSCN066t7f56bAyqU4YqtO3 8S2LoowiaqIJykiXLtwvLTJl9DxBlpIxei7lGD/ODllnj5GrzPWkC1JbUfwLks8JrRSXVum9ndcS 4wIy4nn91PHmgg3kXnN50PqL4mlcM30Hm6PCfVhE2txhjv3Y9mUg53hgiwLdr375O+ura8BS0dUH Qk1dheE5gS4UHExtOleRdR2VJ7C8qatYiCrAuw5tbdLZUNXYcYGgGnuUePNi9ByZebjUXE8RvDTf IO/LDQ1ONHCAYGX6OLTRxpxvInMPpwGGcl0sFMOVYVliW5a2iEGrBLqCSh3YKskHjWb02hZDexHM wiFciwI6JBBP9QiNrA4Fow1OLIuPrPJY1ARGm9b6K+4o0cm0cxhlGVVIqC4izk/RoxWgrrZGmWoM tPbjvoPmq9e3jz9WMTiSj1/OL78dXt8u55dVvyyz3xK2taX9YOwkyKdjWaPacN16mCLCMEOItVWu bxJw7vTdqNilveta5hUyEVDnSgLaj9UJKnYwmSaxZetbzBzCpvoYeo6293HoCZhkqGsiGNaFppew FdscWgNmiS+n7OMvdHTp31eIkaMpHVix4Q2dgirZsa6xJaw12Z74t/9XF/oErxVrupJZLWtXD7GZ Y7yEulevL09/TYbpb01RyA3gMbO8SNhWCsOEXUTf7Rek7Evzs4EsmePV50OD1bfXN25UabacG40P nzSJrTZ7xyiOiFTkCmCNuqIZTFkhmIRLSph/BaqlOVBTB3h8YDJzil0X7gpPXyUANm7zcb8B61hV qqCNfN/7U+nn6HiWNyiWKzpfjqXqfRaRp/V+X7fHzqXfFOGaOKl7xxSut8+KrLpeV0l4wFQO8vr2 7fzlsvolqzzLcexf6edIle3F0szNxhE/KZrcJtZ2//r69I7vsIF8XZ5ev69eLv9j9pfSY1k+wP5C f6wxBI2wSnZv5+9/PH4h3r4bdjG+iSscA3IAC4jZNUfpQoX4xBL8h7/8l3bSq38ITxvQdOP8bi81 C0jEckl3WbHFaBm54kPZTY/O6vDtZkaprbIKoe2y6zHGty7q3cOpzbZk0BIU2LI7RdcEKsI0XpH1 kLU86gw2Vbk5TlBkMXtZr9OeuJCI8dXkEzjh6TWSzkgKA6BjHxDZ98oUAIDk1C4rTyzdyMwqhYsm HJbr9hjwRWG7ZJ9dH97Ee5rTJ+AVqEX6qyWW4m84g8UoO04TpssL26dOlmeCamzYwWMUjvIYJaQn faC+1Tdu9rQlETKMzKnLLI3FukRSkbKNU+U18AXKsv00ZBo/JIrLVHnud4GeyFcwBXySH1TRnzBE oxTZLm57vlrkpcEZkzSrX3gIUvLazKFHv8J/Xr49/v7j7YwBpTLL8GUxKCZqvb9Xy7THv39/Ov+1 yl5+f3y5/Kwd8Qr/Ajvt06QhmIKojn5slGuLQ9ZWWQFkpE692TW5sao+DllsCLAG/LAjH8BhKFiP smAf00KTjY6+HcDU8C7emTIwMpFM4hbfd92npUm0GEkxpEpH7katI5s62ZsU6pC3Pb7vxkRbgDcx MHneb2emNueXy5Oy+BghbD9QVdZ2oJWLTG1/IumO3emzZYGiL73GO1Xg/XqR4dTpWmpTZ6d9jmlA nCCiI2Zl4n6wLfv+CNNbkOckV2LYBE9JSfcV2XqzMP8iRBfOijyNT4fU9XrbkDlkId5m+ZhXpwN0 +pSXziamDy1E+gfMXrZ9AOPYWae548eulRKTd8qLvM8O+CsKQzshSaqqLvA1eiuIPicxRfIpzU9F D42VmeXJJ0BXmsM+TuPu1HeWR+PzapfmXYMJ6g6pFQWp+A6RwPYsTrHLRX+Amvauvfbvf0IHXdqn 4GhH9FxU9RAjJRM2Ml8CSev7gRPTNZZx1efjqSzireUF95lncACvBeoiL7PxVCQp/lkdYbqpDF9C gTbv8I2X/anuMf9PRM5L3aX4A3LTO14YnDy37yg6+DfGK3PJaRhG29pa7rqiZ7GNu2aTte0DWIh9 fQSdkbSZeP9ZJH1Ic1hjbekHtph0mSSZQtF0krra1Kd2A8KVuiRFF5fdEaS981PbTy16RhaizN2T aXRJWt/9ZI1y8lYDXXlbbgTaMIwt2MS6tedkWzkXM00fx+Y9QKGut1DlT3qS5Yf6tHbvh629I/kJ 5n1zKu5Aalq7Gy1y5iaizlq7vV1kBqK8b/Ei5qnrg8A4UonoZ6qQRVnHybh21vGBvDh+Je1TDAwH ubnv9rTk9O2xeJj2mOB0fzfuDOt5yDtwJOoRBTVy6E9bV2JYu00GkzE2jeV5iRM4otWpbJNi8U2b p7tMtoOmPWvGSDvt4tpu3h6//i5fccLC7HX41GQoIcEeWI8pytCMJ29fM89l0soAqtirUjIvC6gC F3HRR76tTbKMPY4mDwh30xO7e6HWUGa7GJ8mwlzEaTNiArhddtqEnjW4p+29ob7qvlj8WKVGdC6a vnLX9OEgYzva+6emC33piEZGrRWpApcHfvLQdzREHlnOqPYDwY5LR2RzPBoQ0+ybPMd9XuELjYnv Agtty1mrrfR1t8838RRhTj6CTpApe6+CDX7SCBVRoJOJGfMZFvaUbSO9nzSBu8r3YCLFXFlzgSa1 nU6+9Yl2NcvlAlolrkZfukmiYgPpcVUJmzY3ivmOUim6rRii7dm2EaHeYbiu0nKfNqFnCHAyL3i5 pqyv4iEfjPIUt0mzM/sy5dhtN4aJS/K2BdP8LisVH2BX2s7RdbRtt8BV+2CoLRt5sp+6ZVeqOkrn gYWDyUZYCo+7Y94eFMsFX2Bv4ypliUF5uNnb+fmy+tePb98ub6tUPQTYbsCST/FVn6U1gLFESg8i SBzJfKrDzniIwUAFqZiAFBuBn21eFC0mjVARSd08QHWxhgDvZZdtwBiXMN1DR9eFCLIuRNB1AbOz fFedsirN40riwabu9wt8GTxg4BdHkFIDFNBMDzpKJ1JGUYtPXSDbsi2YkVl6ErP0IvGwizH4U6TF JzyLfLeXB1TCZjGdZnVSFehe4vB78ChI2fjj/PaV3/BVT39xNpikS0KwOTUlpTaR+gGsYUdyeUQo kw6xb8ch6+QZq8FYwKu2Mns6O1USoKKsDjlwmQCp1wAWBDsOobs+USzMFfvZ5kOs8ABBahI3DX+j PYYXWxML5wEZe43TzN9YftZAsL0XRVaBcSH1fEY+dH1+d8wo3I4C8qSyYp/mmuIhM4o/Pxakex73 D7aYJOEKMvAckCrxKVEZhcBdVmUtOGvgLpr6xciobzoTju5B5yos6FyUYMOyjgfQM2oBBjTk+lvw cZJkhTKyLqcDpVFUsxp0Wm4UvcNDS7+3Cjg33Rr4MNR1Wte2xPOhB+tN5UIPBhjsRQZutgdNWdBe DCqGuC1hBzLwhqVcVfhZdsnRNADlPBGX0QZ25LFf0/ltgIDfCpeHnLf/R9mTbDeS43jvr9BpXvWh py3JsuSZ1wfGKqZjczBCS17iuZyqTL+yLY/tfFP59wOQsXAB7Z6TLQDBnSAAgkDTsszcYTEqZWUe m9AABsfiST1MRjZILWY34FzuJAT6TlBvUWSf13NDZyIPdsnWg7v7Px8fvv94n/3HDHdDH/Vuug4b K0XTioyVhc/BeUhNwbgnDMKptxP+pokWK2OVTDgVVfTD4qt9TpU6RDwmULdhmXf7LI7oOlXsTXLR TUQMJMyNJ4O0QaM/qplQY/hoX6+vlhd0ZmuD5trzPUi/q896MATB/ayjMkb9h03po1lSDdmtFhfr jDItTERBdDW/WNMFgJB9CAvqSNAq6SeyX9+frOLhe5CMMN2HHayDloPwUkDfdKC4WCyyr9y5Qx5K EGVbRHoRonDdnLYgFjuXzwDUv4OfU0bxpo6LtKECpgNZzfb6h+2WFLqxvP4IHO4sxcvpHp1I8ANH qEN6donGUrtVLKxbirdKXKWM9zqoBXHbYLmya3F2w2kBAdHhFs2lH6A5/KIUJYktZW5bu8qwbFNG 3wduZdCLkGXZB3VKv3FflSo0jLaSAAgzk5YF2px1VW2AdUliksd4n5/Yrca4rSV1WyaRX2/io/1F GucBr2khR+KT2ldemoECWbZWP0A7ZlnE7XUAVUtjtqesm6O1EPYsa8rKLjreSxu604lj7UvkgmiO cWDMonhjAb6woGZmE5o9L7Z6AjXVj0KA0tPoTg8Iz0KZAcgCxpH5NQjT5a60iMqUy51jdWqA44+K YpYjQZJYbIjXbR5kccWiBSA9n6bXlxfEp/ttHGfC+sxa+yAn5jDx1AmvCDKUbcyu5+w45GMxSgMF Va5yf3U8rEtRJpRwKPFoX63dlZ23WcOdNWeQFA11q4uYslbR7AzyihWY1QeWvY9nVnHDsqMu/Uko 8B84dMxp74G4RqwdVGWskAb7UNiDhUZi0Xy01qsab2ntlgOHg/54PumvNsw2y8hIGF3PAjcxy+1W ARCWDBwWMa1eSJoPAhDKZUBesMvNjbdfTHAtjOcIctiiyFndfCmPWNeE0aHOJw3flXaPgPUIKzKU jt0CB8gtZrGtW9HkID6Y7lU6/KNN1eLJ3FWC1mskR+Q8LxvfnjvwIi/NJn2N69IchwHijMHXYwQH tc3TVDq1btsGznpSmBC6BlKz+uU75LM+r9nwNpSQI6SAgdHfTFlnklIw3ptXUKmkLGSUEZyBrHo9 v5/v0QV1FFeMEm8C+tiTIQFt9ja2/5MqbLJR5Bv8vkhxDu3Xku1ob9MmWJeCGs0P+ijaJdkfjeka enqKFvtZbkGpNAyM0xIwwyVrQBU+zxAjAYpBvUGNp0xTiG6zindGzl9VVFEQge9Bwodzj4luq7PN Vk+H1qrsZiaAFQWI1GHcFfG+Vy5HF2wzJgfODxEvW0VDVOnwUNrngjp2kCqBGnjBG8xXg5zPbIg/ erYc9SYFRl1Gbdhk/hqQKuJCpgeMD8A/CpbJzWjUhOeHHPcUGAwA3OmSEf1bYOhFpLIT/mvxN2Op F8b2Ob+9o7/W4L4b0ZsnvFofLi5wfrx76IBr6yOCmCDQ+39oF/OLbSUXgbE8uKjm86uDszq6BMYM vukR5ph/XFnbo82KRLaZz3uwUdqIgLZQbiQydOgGPbiv126x+F2fF8/kcQAXIvAOGOJlgDxUSB1F EWdPmW5m4ePdGxG+QK6GMLeHBmQGFKE83dhHVkzbJh+VwgIOpP+aqfi3JYhxMSjWL+iAPTs/z0Qo +Oz3n++zILvBzdiJaPZ092t49nr3+Hae/X6aPZ9O307f/huqPRklbU+PL/LVwNP59TR7eP7jbHak p7MmTAHtqJU6ChVMS7gzvmQNSxh1SadTJSCBhKUd7LdHchEZrjY6Dv5nDY0SUVRfXPtxqxWN+9Lm ldiWnlJZxtqI0biyiKWATGNvWJ17PhyCm8JYhYFvJOMCuhtcLVb+4NQtc91ocRnzp7vvD8/f6Wiw eRRuLqzI+VJJsANQ88pJW6Sguw95ARD0OTPtz1rb29VA+y5mJLvEG+jhMH2yMUt7CCWwS5kdDpgg wqZ6Ks0lz4jq0C5eIUqPY+xI4dZvU0QtQ/+xbHScqR7v3mHPPs3Sx5+nWXb36/Q6PnOX/ClnsJ+/ nYwQH5IH8RKWY0ZZaWRF+3BpnbAAGeaJqFodWzNhS1rTp6yyZBEJBmmrdyq1a1u4EKP+9O7b99P7 P6Ofd4//gLPzJPs5ez39z8+H15MSOBTJIIjh65Xfx/QgThMXUryxZk7CnYXmkjQ1C29gVwgBUhko z75ECej1w6PY2uYDFLQSK4j9iFFtozC5yD0Ynh88mMnWSGGbOK2ZKwGs7fQZPdAVC0YEZpDVlytO ipwK8qhshVgvrDpQzTUNlBN06Ibv7FBEo8+yi2K8DlHco5H1zXKuv/LWcMpASqLC7fJyTmL2W97E 29g5jhQWEzCpS8TYZVpD2RUIW3Yg/B7VnxD5hkTHeRWnJCZpIg5jVJLIHUhbNYnhFbv1zAr3STZD W4DL9V2kPh/QXUN7+elt38wXZJAxk2a1pMcslVeXnu7taXjbepp9Ex9FxYquiujHfi7px+2+yYTD jQZUGaBbXug/TnrCPGy69tMRkjejZG/zUqzXpiOUjZ2v0H3QE/3dIrbCMOvYQ/t5EQXb5azwlFBl i6XH1VajKht+tVltPiO7DRl5iaKTwEmMejk5bqIKq83BSSAyYFlCWZUMlhXXNdvzGpiBEHQVxzwo MxLV+NaN9OH5AgfVx7Xv94zeFCp+P43KCw7CrfezsPRN3AGtWV3+ydzvudgGID77hlS0c2/+m2HG GjtLlIK3VbTeJBfrpa1B9O2rPXU6UsF4wpmWD/Koi3N+ZQk4AFpYpw2L2qZ1eNdOxKltk0jLRl6H GKSZq5UPx0R4XIdkCDJFhGZ3a2nzSNro7MGQx0ecebmZvHPs3a2nAiW0yxPeJUw0+Po2tQRAwQX8 2aWWHJI5lgGQvIow3vGgtjNR6o0v96yueVnb44Ha/Qf2EhE3ygCQ8EPTkskslbyDd+CJdWQc4QMr 81D8VY7ZwVqJ21YmLVms5gdHu9sKHuI/yxUZx1onubTClMsBw4Q9MPZx7fTVEP1YKdRt5biKqx+/ 3h7u7x6VVkEv42qr+ZkWfXaTQxjzndlBtDh2O8Ma2bDtrkQkAVKCY3AcTIP2rKF86WR30QzBnqYb LZK6lj1aCvqhZqmToCdr7OZvMyi8KdMUFQ5KJ70EFgR2UO2LNu+CNknQH2KiG/l6WQhLyK5Orw8v P06vMAaTbdGcuwQXlW02GQx6beQosWndtaTjHCIH25tZWnVgi7XFv/JdX7gFW9qmwKKycngPUPhc ZumwysD6rX0VACXRE5ZHq9Xyyt8bOMkWwyMXF4zJXz76cONIOWl5Q6XhlhwhxfB5T8Tcj35tprYp Iys4Vl598ZNTbzBRHoDoUpWCN9bwJtJcaYEw16SVkm5YejY0xoPD+Z4gTboyiA82rHArjwlQ7Dax DYQtfSRdXcDBYwNz9IMjbZlJ1+5CG7Tl1rpU/ybCnpgB3nfXb0Ua6GCkfdx4IJFj9ItEFa5ZecTF n5cMJMOg0eWrsfPW4AkgYRBVW7R3fk6nz8jn1Aksxk7QF9sWod8KM9Eoxy4ah8vBNwIJZcX3kTbm hIxcurdPvbyeMHr/+e30DQO5TC/3rdMWr5PNxQj7zQGMU2eBcdsYwLTfb8ThlfjHN2kLmYT2A5J/ a0J7Lteg6OcTS1KP+Sf9fPAjTDHe8zh/G0BmuSHdxhQWtmiXWxwkVY4ubpMkWA2+t0BFE9pWvtRl M2kXBWnl1oJQ1XufFtfT9CNnyyadyproO8bZXpeMtFPl86U6SnHHynwRJgGwByqqVoXcRkshMKEK 8R16yF6T+XkUgcA8fXPlxjvurObXy+kfoQp6+vJ4+uv0+s/opP2aif99eL//4XoGqDIx2XLFl1JC Wi0X9mD8f0u3m8UwefLz3ftplqPN2hGtVSMwNlHW4NWjJiJLTP/OZcJSrfNUYkw3SI2d2PPG9CPN c/raJY9zAao8tfDw/t/0rJL35CrpOAFTicmnfmkYuUfCMjOVNUkQ1KhnFajAbveotBRp7DrwAinl giJLGFy+KR89xDPWzBfXhgCn4MXyYrG6pliFwovl1eWKud/tFxdkjlfVnzC/WurvaSboauOUJd3w 6bu9CU/Z+ibs0qpKhqBfWBOEwGvzae8Iv/D45EuCvIHeeDtbhezaSEyrQ5VPiomyPdpVI6rl9SUV g2nErhbER6sLTz7aAb86HHo/m4/I7NcGJl72ZeVdW4i+0k3REqoeOnToZdjaWwVfVZiQIAL1wpmw ZrnSo/aqyQjny/XGnvAmZFeri7Wzs5osXF3TkXFVaeywXhu5VDTw9dIZcfnw45p+1jAux9VfH6yl uEgW88DDiSQJPlmxIk2aBFws50m2nF97u9VT4AugXzbzkL4Qvz8+PP/521ylXa3TQOKhsJ/PGK+L 8K2b/TZ5LP594uhq8tAYkztjL44iJP1L1UBkh1pe3ZgfYQAt3ycgYmR5O7mNOZt77RQn0nw5v3Qj S6pEFJi4rDm/won2EW+tm81qviLZcfP68P27ccTpblT2sh+8qxqe6x7eBg5UC+mDQWNBBrtx13iP zBvaRcog2sasboKYUaKpQUg+/zQowopS/g0SBiL1juuPJQ206bBn9rR3npP2dTneDy/veMH9NntX gz4t1+L0/scDSgW96Db7Defm/e4VJDt7rY5zULNC4LN1T/0gS8Y180xDxfDxAI0D1TCKd55SK/m2 xl6742jZmUDNFjdHcg0GuJWdRSv3JDE9eBMrBA8wmtRxYA6w3+/+/PmCw/eGHgdvL6fT/Q8jEwtN MVVaN6GSc4g6o5xNPpQObPSxGsvScDv6NgItVU7YAMxdHBepETYAYf2rSSlXFXFmNgJdZcff6NBV o+dBGplOdezAkZiMiLIfsdqLSoH3vbrXE5fBWzjArgxbdpUdPHY3ZSdD5FRuD/t6LG7zqrMaaSEr q9iRTr5Q3GJTujzNaUPGREN3GbtrpZ3uoQ7A9K4FoDkwPQCpjEsYkXR2D8apDx8fTs/v2tQzcSxA pbJGC37IwKa/3BUCGuHk7Q3goE3cTN2yUDSFay8A9hJqrVb4usvLXdyHqCBHtCfz+9z0BEM4Vs9G QhLg4ZUgmiDheOw2dKRDnSrMme7XbQ2BtvLbQ3/LRTa6wgAglNJtOF7wsgu58cgMQVVU79DVhde3 tCUDaCKMg/oJDSNjtSIGZImwFEuzJfL5s+MnBAjg3AeLtG6Na2oA5YmZLi7BCyBoXRKZQH16JFFR cpBbqBNTog0/qAECGivT3q6NYGAmBwuc46Fj14lA/yNqaHUXHCupm7KCpbFxI4xcs/sgV7gMNKk1 QgWeBPG2NZqhwNBobxnA4ysjTbQEBhjzV7+U7+G8qNrGrTbX15sGHALJdM4B1BMhS8AIaXHUX0Rp xah2jX3hSbijHsHt5K0eLxv9NkECrZ/u6Eioz5issNL72VfpTpThjV2LNZ4Shk/fRP8yow/4M71n uH89v53/eJ9tf72cXv+xm33/eXp7N97PjOlIPyYd6kzr+BiYkVl6UBcLWrEBPRH4Ms0Z0zKLEi7I N58MuG6YaWl84IeMCl2WN63+7rMnhD0dV0w/t5Q60Rcy1jlBiSf7Lo1SGDdXVLEyU+LlRvO61nD1 zeZiQ2IEXxkedxZqNSfrAtTcEDBMHGliMEnMIP0aLozCeH1BR3i1yK7JkPs6kQw034WVMXFds8+u Li4vyJ6hlAV/gXWT6KwMt8DEWE2OWMWynAnyQxXigerJLvykF0G0nm8OB7LYhB+Ap0jGZItvu9Dg Atu9qHgB7b9xhJ3w8Xz/50ycf77eU+ZU1CMNAVZBqroMDG916dWObrBdxZurS+thyBAmn6prKDhn PAtKrad4UZ2UGIps27oCdKCHAeq/7UxZTJ6GHau4DZqeiil36NMzpkSZqdOzugOdTuZBES57+oxU Y+WyJiIAt0PRP+GCQ7LZ1mWbUkyoTBT50OT69HR+P728nu/dOatjfHwJM2TIkBMUtk+8I+eHKFXV 9vL09p2oqAI1Rl/YEiAzAhBdUMhCE3YUROoBqfl+18YgwMb24oFmwTebOcrTGLkCHQJHVfQMOv3+ 4fWk6XcKUYaz38Svt/fT06x8noU/Hl7+jmro/cMfMOXT6zIVQv3p8fwdwOIcGmadITY6gVZBal7P d9/uz0++D0m8esF0qP6ZvJ5Ob/d3sOJuz6/81lfIZ6TK2vGf+cFXgIOTyFj6/8+yh/eTwgY/Hx7R PDIOkrNGMKK0tqflT5gS1Ozw5XiW6eJQj22DOoZ541/jf11OTfr3K5dtvf159wjD6B1nEq8JC9BE 04tafnx4eHx4/stXJoUdzRv/1uIaeR9mutgldXw7apDq5yw9A+Hz2chSolAgxOyGKKFlEcUgcetR vjWiKq6RsaL3n6Hj6SToEylAoqEVSY0SzamiYqT8b5QIDA5Efbs/kb1ipq538Q6tZ+PiiQ9NOL0A jf96vz8/D88IibefirxLBAPRiPJw7QnM+5MeCALV/HK11ryyJsRSpX23Kxos+v6aJMXm0sh0M6G8 Vv+eRAkY/tKrpljN9azkPbxuNtfrJXPgIl+tLhZOBwenQ6KRgIJdgVe7C2o8QZEu66P+HefUi9Oi 0bQY+NHlZnYZBPGI1lgQF1d0cALEqSvZhtTXEQ9iUFqVeggJhDal7hAu6eLasCb0zfR7vcpi0OJr e+NPylYe46tyomHGZRX8QANLYphfEOi36yCWNXmcddsM3Tfg9yd0TUg9G5W17A2nPwShqTFp/EXy W3G1uKAtgYiXF4/0AwNEy8u9jXv7gQYZTOZCxCCob1HU1IVCEIY1uyBad0FIBDpHMuZFE+pmKaeW sZIK36UF+s1iULI66poq5AszgeT49KUMG0YZq+oY/aG1M8+QzBAX1GEuYA3Br/CDIpSRN91PjVJw DIssL8PGN4bbI0ilv7/JE2cauiFapOF+rAH7MNkGOggxY07BpKN1/+U0g/ANBi3CUAZNWdd0aESd yixcx6jHG77SBct2FDtBGlyiPD9s8lvpF22UnoOalFH9QmR1YN1iU+TSE3xiAQYKu23sCSyUVdJJ r8uj/OqKfECBZGUYZ2WD6yPSY7oiSkq3ygfdi7CbNIT2ly2yhkn68izmF6Rkb64G7UM85kNGxWzK w8BQ8MLAtrEZuKyiWG7NbE/IS2efs+dvr+eHb/rRDZJLXXLaUXcgH2UMpsmXBTDZ3Po5clMDWOfS F1bFrdvP3l/v7vEZNxHSRXhYn9qKzZZsJVHkUH9S6U8zen22qjs+em1P42AjpVJMtgZL7fK0Hr4J d9SkSqo+gYDdBAwU8DWesPatT4VXpmHZgnxJew/KwkF05x5PEImPEtrBNyFtkNKjCSo8SDXhb2M2 7t5ZzFE30PuMRen6eqENMQLNe2CE9AbdyfJIlKvJpGWlnTeCl4aTD/7Go0JWQ3RDZDxXJ8n0CYDU Vg+bmh4S6acZqjwLpJWoRYKpV3BG4+O6yEqbMJlm4NQHblp5nuPkpW48wV+KC0WG8UrCvRYESxpX jhAPeJsrOY82UzuGSY+auEN3Z1YL3V0BQLxU9xK6CLqg3ZIBs+xMcakHdejECgsipMd3oBJx2Na8 oR70A8mlW/YlKj0yYD22yv/ZVL8hfF/qlVoYKxrIlyAyGD3+9ofVFl0ehCzcxqZ4wWFw0ZmaNkN9 cVDDtpcITYBKxrgQ3e7ShN+2ZcNMENF3BNeGtwdCykJen4iwbimhFEmc+3sEgj4ZY94ARotcaSIW RvuDprZ6NECMto51jFgYUJAEcTem9jJxiesWNCtWAF3nu2NVtE6fFFj1yvsV1hAnmDnNSFRQ8Mzu brKweisB6CxHkXUH1jSGWDogyD1k0biLWWLUwLm1SYMnL77EYZ+S06kUHdDxtaX3KBF47tN7gNx0 uGr1hgyQLkCreFeat914I4/m/hvrvmiqBCTS+liZGUUNMJyqqVmmkLNGsplE2JknIhvAFUCaW7Qq 2Ug3OVbgXqRdLhCDl4HSpiqPl4Q23EjKsNGGEENzJUIywycT1pkvehLJG6l1j3lWMXWQXsQEw/Ca HHNbdPBnqpciYNmeyTQSWVbuSVJeRLrZUcPkMXSsrMa7yfDu/oeRGUQoDqr3SIHk3qH6NeC3XDRl Wv9fZUe23Lau+5VMnu5Dl9hxtjvTB1mSbR1LliLJS/LicRM19TRxMl7mNP36C5CiBJKg0/twTmoA 4iYIBEgsetZJhXRb74oi7eMHsXSkWRM0MmjyxYaZ+wbB6KNSNzFy1nIFgs95mnwNZoHYqtudulVE ivQGjBxHVFAwUDukapxvUB77pcVXkNhfwwX+H2xFvcuGrXUhlRTwnLEPzyQR9z68srlWwSJSGcar 9c6v2m+/bv9Fh6hnohSvMDDA6/Sw/3F92p4LKWanAGPlBSyfa54vx+YsjfVddXh8PfnBrYW4sjFO gxA0RnuAP1RBNJ4GlLzeI/C4KJhQL+JDv+VF0SiKg5zehmIpVfpiDNNK/hkUBkMw02vebFRIByjp U6RNM80xSsGlnnjBwGSJGgTLz9EPjP0wFKKaB4GYKArhLkDu963+ACJzlLK7fGhqG6HNLX1zTFYf /wzkxs59ef3IYEgFwQpTeLofyI20bb8hiO9TBnqPxXaovd4gipJNQSbwHt4JM/k31cOWatFgOM3b poJtZhROysh3ZRP2QbrRZZC/5dZuOC3VKJcjcwH2UzFyaMqzhYsXkwhrFtIhKMhyAoOe2RlL08R4 86PMANxOFj0bdGkxSA10GQW56ulFh6DzNXok3cll0iwGg8C1WFZDKZvKX5KBRqQ6UiIG4xzJMYT8 3UjhMV7y9u9Aif6GhexIYfaWMEYDUumKnBSTlMDsDZXVX3zfO4oc+W70da/bIt+tEeJX8xfDO9IC HblamWPz7FnUbKN0Ulyz5hN0nh8PwxrC6fOf3qnVqC9zLxzrFy/6j+FzNhxTrb5MeqMD+/GYg+F/ KClOTxmc4ERxHX3ZY9CJt8BMnQWYAk2CCdjNZrpkNiW1FG3zXKb3b4XekU85zFPr61ewDx+ypXCD OWbhNUTExLNbuI8y9jWBqTFP8zHd4Ll7OeowDz9avlnvXq+vL24+d04pWul0S9DptDs6irs65woK 6SRXF9q1I8VdO1KBGkS8p6FBxLl4GSRX7oGwRXoMko6+fgTTdS7QNZvEyCDpORsmvoYG5tKJuXFg bs4vncO8ufhw/jfn7lne9Lj6vPq4roxZgrmDXLe8dgy30704c74vQPL1vZHKK/yIv0Kh/XLViii+ yw/3XB+uAvfMtVEIF1sq/CXf3hUPvuHBnXN+sB3nsPQ4OI1knEbXS/7uoUFz7u+IxDAR0ET0LHgK 4YcYOH3kSR/0z3BKc0g0mDwFDY+mfWswd3kUx3oJGIUbemF8tEOsGzG224x8TBgWMIjJlJb41Gas KZ4KU07zcaTXOEHUtBxw5Xqnkwg5nCj3ErCcoB9RHN3L0qwqsoTeq2jH/9LPrno4bNf7dzscBtM7 UmPzDg99bqeYRsw6165z3sOLQcIcTDVubymxpkUYyJZbe18e0yk47XEZjLAKp6zSQy3dev/DeJFC 3LqXeaQXZDxqzSgkaz+IQim+ONvDtASyfhfpm0NjpN/o2+nX3ff15uthV20xie/nn9XzW7Vttkul TLejp+FTcZGAbvb68Ovx9d/Np/fVy+rT8+vq8W29+bRb/ahggOvHT+vNvnrC1/Xp+9uPU/kGx9V2 Uz2L0qnVBu842zcp7+iql9ft+8l6s96vV8/rPyLPBfHfwGIEMCl/DPwz0d6qQInTUzAWSIim44JM EuPNpZNWXe/xQ1Jo94waBz6Ta9VsFmkuTRvCLTJaTI9ek7AkTPyM5vMT0EWam4TZrUmEAWWXwHl+ SoI/BSOnzWnm9v1t/3rygHnoX7cnkhvahZfEeDSteUVr4K4ND72ABdqkxdiPshHlXQNhPzKSlZZs oE2a0+OYFsYSEvvHGLhzJJ5r8OMss6nH9EJYtYCmj02qYp8ccO2Gr0Y5gtT1B5uaG0bd7JpqOOh0 r5NpbDLLcjKNY4sagfbQxZ/AakEeyfgWee2ALw81D9+f1w+ff1XvJw+CLZ+wuOC7xY154VntBDZL hL7dXeizhHnANFkkzOym+SzsXlx0bpR3gXfY/6w2+/XDal89noQbMXL43E/+Xe9/nni73evDWqCC 1X5lTcX3E/st6JmiFOUI9jOve5al8V3n/IyNAlEf2jAqtNLBakLhbTRjWCeEhkEyahf00vVchF/g NrGzR973maZ8tgS8QpY2R/sMG4a6I1ENjdlD2hqZDrhHMhik+5lFWTDPwI4+zz3eOlULjCdz5ZQ7 SVAzQM/lxlkI0zo4FlELTlaiTALNXhdHJzPDh+oOg/VTtdvbneX+edfuToAt6GLBitl+7I3DLrfW EsPpKm0/ZecsiAY2w4+0/ETq5dWMbiGSoGcLxuDChkXA18KRz7fayJOgc3lmfyEjr8MBuxeXtngY eRcdZkMbeed2E8m5TViCEtJPh8xazjNo2foafZFq0mYiL7Q/IYBhbmr79aVzjFq0BqgQKpGJicfU E2CaeAwCVW0j+wnB2a8FofZqat6ONWwg/h6RhW5mg80w00IBmhfRY9a7nKdmLKdc8deXt22122m6 aDNgcZhsDRrvSUzYdc/mk/i+xzzbG9m8iofC6tPOV5vH15eTyeHle7WVwWVKVbak1KSIln6Wsw4J ahJ5f6gigBmMQxJJnFfwxScpEUj8451b/f4TYTaSEN2eszsLi0pOHZ/H6T+IsgbmIGsUT5u9Gpqj a9dQ1dqus5VwIlSutI+H12yRQ6LDgokyMJXz5/X37QpMke3rYb/eMNtIHPVZKSDgud9j5oioD0U2 Eslvzc5OYJHwqEZfIi1wY2kJjw+HkxMIV7sFKId47t45RqJGwi1Xs+twSFMHY0fSbBfmNEfsJXNx l2BRCLDW8SwBcw5qdp1CZtN+XNMU076TrMwSjaYZ4OLi7Gbph3kZDfBaNLRcKLOxX1xjtssZYrGN mqLNh1i3bcLxyav6/ptv90omdpdJz2t4EQ0nIVaVlb5Twj+tvrBt2L/a7jHYDdTnncgQtls/bVb7 A5iqDz+rh19gdRNH3jSYYobFSBzKfDt9gId3X/EJIFuCTfHlrXppjjnk3QI97Mm1q3sbX5Crnhob Lkr0m24X1XreoqiDFM9uLskxUToJvPzuw8HA54rpr4ryLyiEKMF/4ahbP5u/WFCZw8kpceSRQkbC ZBRk2Qf7DnaMnNzYop+mly+FWwa9DPWEoxzxaohAGcKsHmQJVYzJJCyX0zKKdWU9zQP2OBRrBIsc 7n3MddZeYQvG8mK7eZG7JNVymoCmCoYZbEQaqHOpU9jKrL+MyulSf+rcsNUB0Bx6OrZPQQIfe9i/ 46unaCS9YyRePvccOw7iYdmN0V06m2OTNOQ+OdzHVOeWieETM9S0KTC3WGlLY+CWIE3IOrUo4/qc QDHQwISjcwrup7H2ad7LbcSAajf+GpRrmXcBcN39IzU7Pnrbb4A5+sU9gukbk5Dl4prPgFGjRcwO G21TE0QevbergV6ecLByBN8WM4YCBP+RLvr+P8xDjjIZ7eSXw3satkcQfUB0WUx8ryXcahGLewd9 6oD3bHEhjpmx+gkRXrTIpPCRnWFlILDu6BZdpH4kPXu8PPeIaoulgEEA0SgkCRJ+85pgQriWTWwS wn4hkqZ5mTj0N9LMwWxiT3hOjIRSTQakqhCLg2KkxegEmZHoIyo/mzIkImFaHmZMZ4iapBOFMFJI IbZBZRhYq6Hy0KKuvXoZjG/kWsNLH9gMFEIej1Q/VofnPeYN3K+fDlg36EWe9a+21Qr2xD/Vf4mK jcmYYNNeJrVr0aWFgT7wug+dRjvE66jBF3gIIZ7mhSula9v6mDaJWN82jYTGuiHGi0HvSvDtXLet 4kKhpeJyCVEcxuzwxTCW3wRZ9lu6zcZpX//FiPVJXLuamB9bmSaRT2WTH98vS0+TP5gyDBRyzhcl ySLpn9juUIOA9JtGgQg/K8qcRiKkwIdWPVMBvf5NtQABEhWowzj0S7ooBh8XsNMa4Ul4GzgZOnSB Wl+z1DD9Lk1pwAL6tl1v9r9E+tjHl2r3ZN+V+tJ9ahmnwxiUrbi58LhyUtxOo7D81vgwKR3faqGh kKXS4NWFeT7xEq1Ou3OEzVnL+rn6vF+/1NroTpA+SPiWq2guy/6gxcw5defQ/3Lu5RPhDqivfAYS GeM8WfeiHAx6YbIDDX1loxCjxDFWAEQty3ByQIUMU0FX5cST+d5bZV/DiOGJ2rC0n7qaUQqSoCkB IT/c5XmXr6BNH5mH3hjliJkMtzUD/naptWRHNdsF1ffDkyhgHG12++3hRc96mXjDSPiS00h6Amxu XeWpyLez3512FpTOLu2iT7VgVqwQomi+NF6OTYbXYIIywZDII53UDdaXzs02LHZxeH3jYUDEi/3L vGdrYcK9NaVJlQkOEbWA+HY66ww6Z2fEG1IQjgO2jHe/8LTwKAHANBNcbK/vi41b0vQx6xEtZXIE igzrQBWjaFCawCCayYIqBnw6gU/NHwlGsDpOY3si4WTqKIYj0M3mxvl14AmEXB/ia/JXzK0zBUY0 hFRHEVAMS1AKRu050DRGQjNE7fBFGU4KLRBMtoFYcy/VEeoskXPVFUXP5xP2FlggszQq0om0u41P QkYScbJQ8Ho9cdBRY5At5ug+gqMHg9gP5eFH5/Ls7MwcQEPrtIsNusZ5Y8ClvzSIcY9eFr5nrbh0 KZnipkaEtD/CwtICFU4CGZRoPjlLbIi4hDO9jhpkzn2wDTYbgkE6ZISazJEjPFeOTBSUM7RLYvv5 UTQcJWzu3frzR39b1EQmqYhCRc3RC4LGvVz3hml52uwHPnw9H26tawP9Sfr6tvt0Er8+/Dq8ya1m tNo80ZAlTF6OIjGVcZUcGAPAp+RkVyIxkiSdlt8IRxXpoETvmimWrS+Br9l4JYlajjA7RukV2guW rNWgmk46XdINCmmweb2EEIoxcaE9Ltp6UqTZ+S0oBaAaBCmniQspJidHxdjxZZY+dLDRPx5wd2fk kmR5I9RIAuv7CAoTYY2UObi2Tf7ANRyHYeZKqFpLOrCak6y0+AgnRaTzf3Zv6w06J8B8Xw776ncF /6j2D1++fKHJ9TFQV7Q7FKp2E29EA9tmbNxuQyHawAk7Pz400qdluNAyyctPok6hae0VDbkx+/lc 4pYFKB3orefudF4YsW8SLoYrtoojiyzNKugEXoezh3pR5F2Zyv9NTCnsCL4sTA2hnHhaHm7mwVg3 DScN7OeV3fN/vG3LGshvhSTlnSb9MehC9IRDKOCwYKCLFGEYAMPL40drM5NbZHuGgB/cL6k1PK72 qxNUFx7wKJ2xUBwRujXLi2N6600WrCEuUCKCO5K1PFpxhNs4qFpeiacpeT7NzNg3Q1o4Bq935eew JpMSNPFCTT33p5wIMd6lMqX8KW68tccZOY8HuPaEhsGEBa6nwKhZCvOrkcpdYkGIdnMjRF3DhrdM 6EubEVSbnL4WIJmlgZUbR2ASLfMCgHKHp2i0WIoH6p5/V6Zm5ufGtBMDzl3YISjvI54muAMbG77k gcHUsgEBXCYi64twAs2JUyYiHUJx4F7AwsNkkYUlnl8wCff359WfimUNMRD1YWpd1svOPk8PO8pq t0dRgJuajwktV08V/c7GU14/Up8KnkekOZ9CIh2I1XHTc+2Kiio8OTkzsvJWNIgolkq50vfb1def EW4EmH6AO+HAVhJvHCqfd6ODKG2+kXfHkKg17aBopSbe1JaaV6rUIEFv9NNZ/ZozPYkw8B5eyOF3 jOyGviYsZ4GK6jwGO8oDlj+2PBX7H2Y5gDScqAEA --===============7649916671072249217==--