From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1752415AbcF1TxA (ORCPT ); Tue, 28 Jun 2016 15:53:00 -0400 Received: from mga09.intel.com ([134.134.136.24]:47993 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1752209AbcF1Tw6 (ORCPT ); Tue, 28 Jun 2016 15:52:58 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.26,542,1459839600"; d="gz'50?scan'50,208,50";a="836873939" Date: Wed, 29 Jun 2016 03:51:46 +0800 From: kbuild test robot To: Saidgani Musaev Cc: kbuild-all@01.org, ming.lei@canonical.com, linux-kernel@vger.kernel.org, Saidgani Musaev Subject: Re: [PATCH] Drivers: block: fixed a code style issue Message-ID: <201606290310.SgXbungk%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="sdtB3X0nJg68CQEu" Content-Disposition: inline In-Reply-To: <1467139930-21955-1-git-send-email-cpu808694@gmail.com> User-Agent: Mutt/1.5.23 (2014-03-12) X-SA-Exim-Connect-IP: X-SA-Exim-Mail-From: fengguang.wu@intel.com X-SA-Exim-Scanned: No (on bee); SAEximRunCond expanded to false Sender: linux-kernel-owner@vger.kernel.org List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --sdtB3X0nJg68CQEu Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi, [auto build test WARNING on v4.7-rc5] [also build test WARNING on next-20160628] [if your patch is applied to the wrong git tree, please drop us a note to help improve the system] url: https://github.com/0day-ci/linux/commits/Saidgani-Musaev/Drivers-block-fixed-a-code-style-issue/20160629-025927 config: m68k-sun3_defconfig (attached as .config) compiler: m68k-linux-gcc (GCC) 4.9.0 reproduce: wget https://git.kernel.org/cgit/linux/kernel/git/wfg/lkp-tests.git/plain/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree make.cross ARCH=m68k All warnings (new ones prefixed by >>): drivers/block/loop.c: In function 'max_loop_setup': >> drivers/block/loop.c:2055:13: warning: passing argument 2 of 'kstrtol' makes integer from pointer without a cast max_loop = kstrtol(str, NULL, 0); ^ In file included from include/linux/list.h:8:0, from include/linux/module.h:9, from drivers/block/loop.c:52: include/linux/kernel.h:327:32: note: expected 'unsigned int' but argument is of type 'void *' static inline int __must_check kstrtol(const char *s, unsigned int base, long *res) ^ vim +/kstrtol +2055 drivers/block/loop.c 2039 2040 idr_for_each(&loop_index_idr, &loop_exit_cb, NULL); 2041 idr_destroy(&loop_index_idr); 2042 2043 blk_unregister_region(MKDEV(LOOP_MAJOR, 0), range); 2044 unregister_blkdev(LOOP_MAJOR, "loop"); 2045 2046 misc_deregister(&loop_misc); 2047 } 2048 2049 module_init(loop_init); 2050 module_exit(loop_exit); 2051 2052 #ifndef MODULE 2053 static int __init max_loop_setup(char *str) 2054 { > 2055 max_loop = kstrtol(str, NULL, 0); 2056 return 1; 2057 } 2058 2059 __setup("max_loop=", max_loop_setup); 2060 #endif --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --sdtB3X0nJg68CQEu Content-Type: application/octet-stream Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICEfUclcAAy5jb25maWcAlDzZchs5ku/9FQz3PvRETLdlyea6d0MPKBSKhWFdBlAU5ZcK WmZ3K1qHR6T6+PvNRF1AVYKcfbHFzMSdN5D1/XffL9jr8flxd7y/2z08/L34df+0f9kd918X v9w/7P93EZeLojQLEUvzExBn90+vf719XH78ffH+p//+6eLHl7sPi/X+5Wn/sODPT7/c//oK re+fn777/jteFolcNfny4/r67/6XutEib1aiEEryRleyyEru4HtMeiPkKjVzBGeZjBQzoolF xm5HAiNz0WTlTaOEHqFF2ciyKpVpclZ54Dhn4+/PZSF8SPr5+t3FRf+rWhkWZdC/2IhMX1/2 8Fgk3V+Z1Ob6zduH+y9vH5+/vj7sD2//qy4YzEmJTDAt3v50ZzfoTd9Wqk/NTalw8bBb3y9W dusfFof98fXbuH+RKteiaMqi0bmzAllI04hi0zCFg+fSXF8N0+Kq1LrhZV7JTFy/eQO995gW 1hihzeL+sHh6PuKAfUM4DJZthNKyLK7f/Hh4fbp6Q+EaVptynAxsA6sz06SlNrjm6zc/PD0/ 7f8xtNU37u7rW72RFZ8B8H9ushFelVpum/xTLWpBQ2dN2qXnIi/VbcOMYTwdkUnKijhzuqq1 AHaC38MGsRpY3d0ZezZwVovD65fD34fj/nE8m54p8Sh1Wt6MHTPFU+xdA41B1iyTRAvTnzWv 6rdmd/h9cbx/3C92T18Xh+PueFjs7u6eX5+O90+/joMYydcNNGgY52VdGFmsxnEiHTeVKrmA RQPehDHN5spdp2F6rQ0zerZWxeuFnq8Vxr1tAOd2Aj8bsa2EonhJT4jtiNjEpfW6gvlkGbJo XhYkkVFCWEqjGBfBfnBKcIqiicrSkFRRLbO4iWRxyUm8XLd/kCKCzRM4b5mY63dLR7ZWqqwr TXbIU8HXVSkLg/rJlEoQXaPo6ApWpt19q41uCrpXlJkACnhPhXCVjEOoQpgQSsMaYiv4dp00 za1ONKiDSgkOOjqmjwgVN7H8KFtD041VbSr2VZ1iOXSsy1pxq9D6ruJm9Vk6qgUAEQAuPUj2 2dXsANh+nuDLye/3jkLhTVmBBMvPoklK1QC3w385K7hwT2lKpuEPSigm6ooVoExlUcau0UrZ RjS1jN8tHXGuEne4oNRNmuWgliXygqNsQSPlIIt2LiBwnhrGTR7A7rHCrHsMMeoawPo29/i2 hzUs0mVWgzjClEGPnWjeRGAoLX8YuXE1vgLBcbyEqHZUoMgS0BnKIbe9JLW7tATG30522MIa nldbnrr9VaW3KXJVsCxx+BHVuXIB4BQUxgXAYRG7m4JVck5eOkzH4o3Uom/jsAIenbWtbvfQ T8SUkvZUR5bIIxHHvsxZhd75Z9X+5Zfnl8fd091+If7YP4G5YWB4OBqc/cth1PSbvF1RY80N GHxHGMB9YAZ8EucwdMY8C6qzOqKVAxA2Cahw9JUaBaa4zENaxICXGDPDGnA4ZCJBmciATQAb l8gMjCLFV2IreM8co2qEJpGglZxljOX7CJwrcDRXBWo8jjaU6N3a+BsGG4V6uGIKTrD3nXzN AIYNtL8qjeCg+omu7LB5Gbd96kpwXLRz4mVcZ+BMADtYfkcROYl1J2A7tx2nTKe0IdEMhApE tZLE7EqwlSAGuoaJFfHVOHCHYNxM1wzuCvjYIoFVSGQl8H5mfLni5ebHL7sDBBu/tyz67eUZ wo7W+xk9sm7mDdJ3xw3r8fWQv9jeLwOPHk4/FQqmQCljYEhZJK7yhzgBtYKrja020TnK8sVk x90ltyDU/RzjEBYTA3Y0dYH4YOMWTa4O6DoOo9m36wdcr8FRD+xTT+n7OFM0yruacL/jjckc JgtcFzdrVN+kTffCuyyKWeJsbWfxI70iga1vPnMPjFgpaW7dDUQkz2PQA6KVRDVjt2r3crzH 2HRh/v62d/Qd0Btp7GbFG7Tr3tEwUB/FSEPuBIN45DRFqROaou8hBzEaKRzLYJiSFCJnnATr uNQUAuOBWOo18LxwrFIO3tW20XVENAGzDYPrZvtxSfVYQ8sbpoTX7bDiLM7P7IleyTMUYPdU aGv7TurCm5vjfoCTdqZ/kQRmMBqizfIj3b/DbfP2bdBYLvTdb3tMBrjmVZatJ12UpRvPd9BY MNvv9eMUw5NP84i7BQ6T6sHYN7GeHt11ef3m7pd/D74008U7Z9TCrg4zNFYhQQwKUa7rlFu8 gul2+FM4su2Nwhgt0NhFdq2HVaIP8VlQdjTPa4e18xrZw7FX1h9wRALCQ9T/Nk7uQ/PqYXdE P2nIw7TQl+e7/eHw/GKVh5/d4hnT2lprJ82SxYkkgzxocXF5MYw29Ku/7e/uf7m/W5TfUEkd XBOIoyRgUkVOB8+93qJYGDwjUORdQoSndbH2tBsaV5Bf+GnkCqgaUWCmi+gJbTqaYRbHaBKa IVLtT6Wq+1Xlu7vf7p/2g6Idh0M1Ry8B9RxtihgdozP000sStcnp5EBaXV1c0LoI+GRLYj69 v6DVzlW/2uj1sNCv3749vxzdtQ7JIfCtwBEJueXJfnd8fXHtUQLhjxcqIKDBGBGPcZLIFKAZ bJBXwSn3caTvDSGbY0PL6khCrafKwOWtjBU3OGl9/d5PGrY+Hu2Bp7ctVzSmdZ0pPwBCCe6E aBsJrpYp0en0lLbOT6itHJaOBssOdv3+4ueltw0QXlomXTtbxzMBksFA2/kKBNgdc5LEYJ+r ssxADw7En6OadsY+XyUg5jTK+otlILkUZ2g2VsKmsdaT0MXyhvhrf/d63H152Ns8/MIGbkeH R9BvzQ16+14gPA118HcT13k17CHGBykoZnAPqWNqu9VcycrJJbYRRFm76cWW0gIfJ8Ac9MkI xDngFFymNd4P4MwVqpReoIr98c/nl98hDlg8D8pwcNb42m3e/gYVxlbjkOiZ+H7KhGCbKIdJ 8Bc4yqvS3ToLrCeOpI8Fr6kBJSQ5lc2yFKDu8K5i1i9mXiEIlpw6BEsBISVI3Thj3Ka18Hze DtQPQvQk25128oWtruBM03lRIOhtSaPgaEkjC0QW17SGz83UVU1VVNPfTZzyORC10hyqmKom vFHJyTbIaoVcDcZwO0U0pi4KkRH0I0jfFsCT5Vp690SWbmOk37SO6S6Tsp4BxuGdfvEEGpa6 fhUAhK4mkOlxW6BlhOnwFkMCW45DMwF6pdB46xWmON1BJMS0rS9A7Sx4RYFx0zrwyFh9F3Bu 2qjylmQ/7BD+POnQDDS8jtwUSa/gejw4t69f7u/e+L3n8QdNpvXh8JfOOuBXJwDgHIrEF6Ie Zy1qQI6Aps0Ho5Q3MZkOwE1ZzrhjOWeP5cgf/hC5rJaBxTQyY9Neggy1DEDPstTyDE8t50zl 8YSLt3vaJdFn+T53ZZ6YWoiWZrY3AGuWitx3RBfo9Vp3yNxWwlVEG2I3EOhpEQvx1EAPGRtP zqr30uxVcuhCBwntRoSuZ/DKuNGC50ytqTskgW5c1enmZGowbGtw2GwSG6xQXtGZUyBNZGb8 DPMABGGL6pPN3FRK7xwoGYPPM/b82N2FPr/s0eSDo3Pcv4SeEYw9j87CDAV/QfC49lSzj2ov SU/g27vmEwRZ6ei7Aq8eisL6cR4Ubwnbi0yauMHjc5bgovAxgucVe1iMVZPA5Z1LZ1P4/wGd vZyuaXdgRmg5hjp3l9CmgmYLMDhz8PhjzkM99CSeoLkIzU1FY8DmQAAjApvNclbELIBMpn0O mPTq8iqAkooHMJEqWYwOVgAPfBTJEq90AwS6yEMTqqrgXDUrQqvXMtTItGufnFPH6UGOGCgo 3hnpCuZvQYFBLMRprk7owOEzHLGzs0cUcbAInh4pwqYnhrDpziDMUI0hgpFK0JoD/EmY4fbW a9TqeALU+uQEHMCx2LgY8BO3Jo2VD8uFYT7Emxb8VhG+k/BhePMzadVe7vnAiXIz3csifwJM f5oMiLvjgyaHb2Z61Tb7l5jN3cJmm2S6m0dv4+K6InctBE9u4jl8OMbtcGTWKm1t9H1Y3D0/ frl/2n9ddK+6KIu0Na06J3u14nYCre1KvTGPu5df98fQUIapFRh5+6JE13mg256qdwNOU52e Yk9Fsv+IjzWvTlOk2Rn8+Ulg8sRewJ8m8xmZIDgxks+7RNsCH1CcWWqRnJ1CkQSdDYeonDoX BBGG/0KfmfUpHTZSGXFmQmaq7CgafJ51hoRXudZnaSAcgHDRqmlPRB53x7vfTkij4anNElrf nh6kJcJ3NafwPKu1CXJbRwOOHjhbZ2iKIro1IrTkkaq9STtLNVHMNNUJLh+JegYj/PyRjny3 QxCie3dyRFC/9v3YaaKwKmkJBC9O4/Xp9mgPz29hKrLqzNkHVVqLJtJ4cxIIrVenuTS7NKc7 yUSxMulpkrPLzRk/gz/DTW2I6yUJCKoiCQVhA0mpT0tleVOcOZc2L3uaJL3VQWegp1mbsyrk U116Ltmc4rR+7mgEy0LGvKfg57TMxEkmCEqbPj9JYpg5veAhe32GSuFT5VMkJ41ARwK2/iRB fXXp5mA6f8r7DZTb68sPywk0kmjGGzcGmGI8ifCRk1xYi0O1QnXYwX0B8nGn+kNcuFfEFsSq LZpagUVAi5MNTyFO4cLrAKRMPMegw9r3gHqSHKyazfzJmKz+5z9IFSWYDFbMptPehwL4KaoP zyZwdLSZLPqE7wzbBywzBEYhoUHwkmMaycxoMYU0JUTYjDAwhTbqDSyHwlkgRne1UCymFotI cg/As6S7w2QGvqCT8+CbzvVYzDTNgUA/GQPsAXBZTePsFt75fykN93wHF6GqITNJYI3Jpgia fPC3/fDWQ86TBi3aiz28FuPBBAimUclkMlPnv18aPg8JNOp8XxnqlNjI3nOf75ViN1MQcDd9 fix0EoAYp9xphD+W/1+dsPSYy9MJPmrUCUtKiAadsJzKQy+QE0Qn5/4gJDDQRa8AljPxCM2R whGCPmnbC/psYZ2ge1dly5AoLkOy6CBELZfvAzg8rwAK48IAKs0CCJx3+/QhQJCHJkmxo4s2 MwSR8OgwgZ6CSsPFUlpjSYvxkpC5JaFh3O5pFeNSFBWZu2yvdnxe6a575unKDjHP/rWlVZOu +lujpBHRlMM6HCAw616beTNEmdmWe0hvPxzMx4vL5orEsLx0/VoX45prBy5D4CUJn0RqDsZ3 IB3ELE5xcNrQw28yVoSWoUSV3ZLIOLRhOLeGRs2tjzu9UIdeAs2BT1JrYBn8pEP71oCPjxOs obD3TpzL+DCzEa7Tadsh2eX8kpOku6JfyHSRmFM9Z6BRtGrK6F+crkawFP27XvtABROiHN8s ePU1ITqdsneByr1Ai6IsyMeASD+fQQiL405evLQjek9DVKy9Hxj8uRuEoPCOQ/gTeAVqqBeD Xb5kfIwOv5sNdVSEcMyYTq7AidX4ptqrvbWv4iyvaeYeEMoVqo93n8gZx+A2CbL4OuPenDN+ GeC+LdGaGZZ5WTyslWBVlQlE0I/YLj+Q8IxVdAVXlZb01JdZeVO52qQDNEXKSaB9BkRj0Or7 6VQXm5YVjfC9EheTl5HMsF6ExKLh8PIULrKOidFWgBBbMO6xoqezOtVS8pycqdsrvTkuhe8a URS9QRzZRgiBXPnhfbDy11YF0EzLI+LY40JjOXOJnwVwC6YgELHFNO7wI7T/c0M9QHWo3BI3 Bx4zQ8ILToJzexfviGdZiWKjbyR4bvTj8TZHRr3M7O+9fc2WV9nkJSFCmpUufZo5q1koeM6z B0Oppp+d2kOyUwfpDrz+ya7QkWtf6Ww8w2Hfdtvku62tDLRXW3yVfdv4ZbDRp2zyPHdx3B+O k1o9+/pobVaCfimeshy8S0m/meOMbiRVTJcMRPSjFQZ+71b55mJErbmTZL2R+HEO9y3RjbA3 tm41sQV1FSL9VJMVStI798iKzILslzXyySP7cY1dQzwakZX4Yv2GqQKYgmI3h7q13ZX3qmZA Y0WcKlgGsriKKTkdKDnsZaPrNtk4W45dqlfDJSOLoMpYGO+3YAKxRSLKLV7tEYrj631tlFeA RmCb1JsGSbJJKUPkkg5lAyfH7Kiu3zzePx2OL/uH5rfjmxlhLnRKTgkQun/KP3lKNye2/g00 KajLtIFKG9bnbrf2OwLXF2NfNxKg9GcVkrUMFHuiWP5Mf7GBM5nQCFHhnRHtCBQJJV7ZTafJ xke5GqSpq75w5gLc77/Ty9mtrV4eEa3Pvv/j/m6/iF/u/2hL6MYP5dzfdWCqXqpu69fb6zuy oGRj8ipx5L6HgLNQF45owFkUMcvA7XFKDlTbfSJVbusf7ddEnHKdG1v/67+dHIhl0axBWgX1 GQUQP8UGUu/DPUOn7Zc92qU1CcuyiHHqISjWn9xYJ9ApwBhtwa1uUggY1UZqsiJ9+N5SVWMn cvJREqysBr8fOsaPoSREuS1WRX215+fc0sN/ha2BdzVnbmifo6QZs4LwtCS/fdFVCE/rgnEP ijrL8AdtSDoiDhs2//rMhCjzyjZdqC1Nss+qrj9O8VzdVqa0bR+nuFhFsee4w++mK9QsMElC P4UelmZbT4CK5fNJArCb37slhbO6xi2r4rEqczToPN44g3jg7vw1rHnUHR7BjdUAdMjSlOA6 NsJeXc/OI6X5YphyNP/WRX5/uHPYbuR3UQCfa7xquso2F5fUs3CQkfzW1po6cxEFz0pdg+Bq FBYeeLitYf9oNXo5Zda2wEuAR5EvDvOywRbT/HzFt8tZM7P/a3dYSDRUr4/2Ex6H33Yv+6+L 48vu6YBdLR6w8PIrbMP9N/yzV5oMs+O7RVKt2OKX+5fHP6HZ4uvzn08Pz7v+cVtPK5+O+4dF LrkV4lbN9jjNwV7MwZuyIqBjR+nz4RhE8t3LV2qYIP3zt7Fs9rg77hf57mn36x53ZPEDL3X+ j6nNwPkN3Y17zdOAL7rN7HcfgshWhU+/l+GRCJESTGaTBjL2SsKk7y12G6Blx8gOl/TcBkis mXA+XMFkjJ87U06SBan8xBG0mlSi+shTL3/bMT/1/hKZNgIKdJSbZCjls8vo5r84/v1tv/gB ePP3fy6Ou2/7fy54/CMw+z+cusZOtrWzNp6qFubExD2s1C50aK3myk+rBqx2XCqiY69UaYBy 6vzsIuFvdAyMnm1vVq5WITfQEmiOcam+LTh95KYX5MPkuHUluwOejpnwFhGarbT/EszRaCzn 7uCTaTLUlRH8d2Ipqjo9MDgg9oOJTnLQwo2XrbUgrAZsvz81m0qo1gRLsAM8Tgf2Flfq2H5Q TDL6Szx5PGed3LF9edzg9wmY8kAofhczyLs5ZE70/sPSc4b6cm5m6FXknW9AV9ABtru1pU1n yBQPvkhuvVkji/k2xLnnpeQBbeBShM7ODpNIJ0GCEIlfYgB/tPDAFX7JBlYEHjdmLTycdas8 iC5YpdPSB5oUPDPQTODsgi/VpmDcaYZ2BVBC+SPmUinffQUgXlyhW24/iUD3g0ftdfRZKH/5 w7FPd7mHN5/o6M6jCRT22rOgP7sHqDZe8v17/OrAWtBcBlj8LleAB/EUZuk1f7Ps1z0cbTS8 Q3dfgxieN7L9gJAHw+8/uayDsMoqAjd7Dq52ZGtcbNd0ZqnVRjOCMVIdIx8nep0W2UdlEdNV dNajHCcqPtUsAx/bf7nYGMHyOaSrmSSqiTwCBf48eNuRLIIU9kNrISx+12EjcKcmT3IdGgw8 I5bZTx666R7/AhEBxn+A4hNstt5PjDA3XoZ6ZajKMOhXC/+pIdrfMhMUrPm/xo5sOZEj+SuE n+yIHVsgQOhhHqoPoIa+pg9AeunQSHhEeCQUgGKtv9/Mqj7qyEIb4fEMmVln15FXZQZ3CYvV h8HCJ01VZQolZSoijSZlDv/QJfWycgQfrZJ6Lb6/CDFLxkhZG5JMEsVEYCChc+k59iedVQ32 wN3vf7xjEObiv/vz4/OAHR+f9+fdIwYKUcjbZVUukRs1YipIZqdm6oWGV2ZkRq5UiXPayKaS VHD80SykmBsWgMRE881B4tiHSvXhvb/k5PvAngbVnRE5WD4bTbZbfbw1wGZTx4BjlgN/4laa tWTcz8NPqRJWFmFMCwQqWQiLLkkdIWoUQjwtUB3xGV0OG8nFqKlkaNZwmxUaqoLFMGs0A6uS hSFt3VRpSpw3WsBSyRz7TSW5S9IMuMPP6NbcvTIbkg2/dy3DbHln6DtbRKacavADY6npbv0I BFYo0jynEdg9olZgcZZpx56A4QVuyl49PtWqLfWWU/11AFYnBAwdhJC6VK2gRaT6pRSRaqpF XBf9T32xKRAF7JvSgImbAv81bWU/lPm/nPZPu0FVeJ0QiOPb7Z4wwjyI74hp7Uns6eENXfgs cXeD98aH+qs7jYK4DFcOXKlp7JE5cvsXAHa6olSyeo2xevCoKHlPp7HGF+R+PDeiVxFFfYy+ RddqnHQmCvhiPdBnClIprebPJmO3alOttzkRDStQmJeOA6ZFCh4bNde0WLLhcx5Sbgta22EA Ypnre+ZMmAZoXMgid0FdRISf9e3ws77oNmN/MxxdUXHA1CKl1swmGo4mtD8Oora0EQdQMyfK p8OGq324vwuYwq72NrlNwePWrBK+ishSmz2akn63oy39MTgfoIHd4PzcUvVMR98fl722CBwH +lpbHI1S7+397NRz8SSr9ABGCKjncwyEFrnikkoi5PAMI7lBUYhAoavYsWUkUcwwBKVJJPpe nXbHXxi7f48BlP9+0CwdTekUo6MKkwQJB7mFVVsntgC2I0zq7dfh1Wh8mebu6810Znb+W3pH +wlIdLiWz5+MUuHaOCWVL2VZ5LSSIC96Kcu1+KktDE7PlUcr9DuSaPUpSRJuSkccuo4GPTxw r9DLoyMrynTDNqRM3NNUCXSJHM/WHI/9fTSLMQLge4+IIhJXgEjNNDcQCZdOXGnl8FeRRJ4f T25vaNceSbEuttstoxmkpgMgOmUYlKzGa9m9J2BZ4esvWk8sSYSrrkPqlgQ4Hrl2L+0+uBtp Y3fMx7V5Hkqu4+H4JIwb/K90YCpSYYaVq1b8xP837hCKtQgRcLUZn8sgyNnmAhZvpJyZX9wg Amzs0p811eS+Y9VUcjiqAM3ikDQ3+c8Px4dHZK4sk2xZKkl01qpXSCNQi8hPkQjIVKiULYHi ELmxYUDXgzFAYKD5UGJsvttZnZV3ml47ChfMvxNg59SwCP1XpYE+p0+NpF4UNEMiXqhjcFSK 4YZTUcbf7EXXcL0CkK2y3x33D7+o27HpIQifV1ap5PD6RSBOsrjgiwlTYFNHBcw2Bka5NBOF 7ydbR04OSdEsx28lW2CF/wfpp2QObQHPYl7LTDu0uAkL4kL0//z6dkqfY7Df6iDna0e1pQ9/ MoLHGPnU7HJH7pfCYdMrModsvyy41WaWFTY7A0Bd7iM8ntuVW2aC/KOv7vHXXlp87aFgTX4k Au2vRHAMUorsaKJABuikyi8y3T2va77JDHY4qj2Q2DKDzh0e/yFGDMMYTmYzqF2qcVX+s5G3 kYNKXJHJFEb04elJhG+HDSNaO/2pRduFfru8lTY0G56lGwzfU8H1SiuyJQHwES6FgcCztSOV xMaZxmgZ5jGj9UkbfFEUpDb/Fb//Ou//fn99FCHsG46ZOHjieWBdjH2fSgwaX3D/mkRj2VUY Z46otoiOy+n17Y0TXcSTK3q2mbedXF25uyZK32Egaie65DWLr68n27osfBC33YSxw8c0DxdV ZFr++qIof7bukdYHWBwf3p73j9byZ342+J29P+0PA//QxfP+w3plIojnx4eX3eDH+99/w10c mHfxXEuk0rmMQbcoRnPutUHoFd8zDyPGGHH/ABg4ZgtQwvS6Dgty5CqhD3/mPIrwJc8lGj/N 7qDbNKfZ0PCYLUIv4hcrylFA4tsQnaSTGqOnuKjRne2zriHNZ11Dmk+7NoclzBdJDRI3d8jA bZdSRzowxK8XzHVgARokd9SoOYujxSbCFInOClAfJ90EnZWUPBIjLakY1NpSfW65auLEgYoq XD/OkQ6D4fXWodXAteDF9WJbjieO2OxAguHCK8eJiWO9qFLH2UL1XLEMHQc5ULAqrVfD2ytn LwsO5yLdQPct6sgPLu4i+OYivIbNoB9eT4dfwnHr7dfDRzPN9oUqfdQsLlsDY/aBKgZmfXZF 4/N0U3wdTbozIwexQXrxKTX3Y7fRwLZgKiO01scspy9Pqlielq7ArlG6UCQz/IV+FtUW1nFC I2Au1UxnCsaPqnI0GutvH6rE9hZcwrlqTfGSa96Y8BOfkwBHfIchTUScHaL/QIavbXvBhqim 8am1pQhM/QBsDXbHsu5hQTaG6V6a1TE/ryg1psChzsAqUKGe1FHCC6OVakRGmA+MSn5nwjj8 ujPr9sXl6ajbvxN2BLMMzNgiTXLu8LNDkjCGU5T2AxboKPRT6gGgQN5jwHTrG8Qed4iLAj93 qLARCfW59TCC4M49lA2IVSktoomG73J3kjMk4GhbdWLLDU+WjNpZsuMJJgIphWuNVi7yBRfr rDcKk3SdOqqFPcepldnC6+Cbu+KWBn5k9LR0JI4VgPi8ir0ozFgwukS1uB1fXcJv4GqILq40 YAq4L9RkjrkQts4inZf6doHjC44Oex0Kg9/lxQSXSEjr2BCbsQTliCi9sJgzfPt5l9B3miCA vQx3lhsfMXSRSIxEBTpN7nySguiC8UvDuGRvFvgsDAOnU6qgKPHbwcHqSunHhRo3iyo3PneJ 9rgxUUcJMhPN34ja0Rz6Lb272ETJ17RMIpDAKIaOp5cCv8yropTP+i4cML5DpYLYLU9idwfQ G+1i99GwBAvcfTxJD/t6WVEW9Krw6nTp8xqZTWAEJOus3JaAt56lIbBL/rf0NS28oaCW9hiA UQ41CM+eP06Y4nwQPXygFtTmYrG1bEnzMkmaCfzWDzltUULsggUuT7NqQzP6cewQYuHec2rY k3ADx3JAfyuZrZLLF8/El8hLv9bS6iFARInVQUu/TIs7Gtg8CPr62/H8ePWbSoCZO+E766Ua oFGql8lL31aDiS8DGNK2hiV4Us4bh+EPC66/1uzAxtsgFV5XPMT0WrSIIbqYr62s6Z16EXtq rDpUIzrAqPFylOqyj+k4qydBMRzNphc7CySTIa2LUUkmtCpIIZnOJvWcxdyhJVMob8a0raMn GY2vHLrdhqQoV8Obks0uEsXjWfnJ6JHkmg5voJJMbi+TFPF09MmgvO/j2dVlkjyb+A61WEuy vr4a2ZaCw+sXjLyqLwajZCNVtMpVFCKK3Su+jSHWVxAzkMmUtEq9hIT+QehaSx8r1TbgRWZ4 EPfnm0PfJtJ8SZW9HcxvvT9CL8wexvvH4+F0+Ps8WH687Y5f1oOf77vTmbSPlMx8bKGbAIu3 /atQTFN6UsYjL6X5Fp7K3IG0IjDfvRzOO3yCZPY9f3s5/bR2fOoPfi8+TufdyyB9HfjP+7c/ Bqc2219AmI6qZMvdL8qgPmAmaIU0enmv57nDNy/copes68JJHYI8d3zbbEMJXiyPa+CUxdvl JP86VOrJRHoEB48htOyKRy6tU4ht4Rnv7OL9x0lMsGYRaF6wui51tDVkW1aPZkmMNhz6Jtao 4JanN7rnx/UqTZigMFtsa0I5y2faM9zYt9kYNU/3y+F1fz4cqcWfM3tHsden42H/pJIx9A7n DvPo2rBpKjvLNqOJp4OaUpvKeiiorCG1t5plfRbPxZYsD8SD5w+3tVp2AXPhyS+t7RhY2CD+ 0QsLcNcGrseMa5V/EAB0hJijJzLUqX6qhho+Y8G3wGbRnEJLVYR+5XwgIYjCRDxecaamRRqX dfCbF2h9w99OYnzU7hmP8POQY2L5otbfW3VgkVzAsU8bEvHlnAmwlAbqLT4So0Zhtf/t0/n9 9tncIoHbzVMUv5x7z+wTQkSEZ7LC7ac9RgqHNhhRGP7DiXQPZDEvzBXfYDA70EiOwYDU6cj3 CHD3ckkJdt81JKmawBWsWEUp3SGVzrETvVIuCPos4pE9pP5UGblL4jwxSg+qfhp1k+Olrm57 kU8e7dOaZ4rILFNi0lwaD7X3W7if1XnR2d8aSGACuASIeVfqYyadjCuu/+xCEAn/XxFNWTkH shzADWETV4acMknhOjAktskh05fBzJ5rmomVOMpHSdTll8r8s6pM58VYW6FzcegqAB+d5/qV CuwjcJ6SQp77D032B2UVWI/4JFq8MP4rWAfi9ugvj/ZjFOntdHql3QPf0oirz2nugUjFV8Fc 6y3+TqLOWSNIi7/mrPwrKekm55ihSCkuU7arkLVJgr/7AH5BiNljv46vbyg8T/0lOraWX3/b nw6z2eT2y1ANJKKQVuWcFrRAKjb3m7zIT7v3p4PISWsNq3/5rQJWejAlAUMzv7okBFAkxI3T hJfqE22B8pc8CvJQ0Rfh83u1KUMR0AZ36cYjY7tcPqgljXVZ9UquagF7zxMdJVa6/Guuf0j0 XxTnB+pAwljpYiqSPli3DQusiW8xc6PuUBw+NKgJS6SHKzTKw2/U+Bkd6KGfTJcXuo9kz426 UAquFnLkPkhCaseL7xUrlhREHtVWumcdLUOREu10ZAEalbImdTpZUUMhlPg0A01R4lNmI5GK XcDFLXUE95r6rgNH92MSmpID2N5f7sVYPPnGl98YFOYybRh7YRDQ2ee7mW+COsqPIyPNXCt6 gq1r2cccszfre0pCag+Xk1Ak18OpxzFaThBu1cdKaWyu+cwAfE+2Yxs0tfZlA3QzZHnTFi1E FiX9dAOOhbV+lVgtS4h8MU3rXqh+ted441dHHkGJbEv7vR4Zv6+1l5MCYh4JKlLLAAC89kaX dyVNTQWUy9ENKZkXJjmyBo07cJCQQRkboiYkS5DoQwq0HgX2iAJiSAZ+TDS7EB7EGbpgKysO 2UTzJ86KNqlNYlD1mWqe+ebveqGmRmlgzYS2c5bh02gkrFe5N9FCZ0h694IV8d3o85brKxB/ C6mJXtwCvQnZqs42Im6dm6rKfOZ4bSvw7stXoC8MRqD/jxaK2KHBSfzMMRtpwMxL2nVYJVog 0KjogwsqnJiCblm5Glg5vWCHuQHMC425mTgws8mVEzNyYty1uXowmzrbmQ6dGGcPptdOzNiJ cfZ6OnVibh2Y22tXmVvnjN5eu8ZzO3a1M7sxxgPyBa6OeuYoMBw528dHhjqKFT7ndP1DfZG1 4BFNfU2DHX2f0OApDb6hwbeOfju6MnT0ZWh0ZpXyWZ0TsEqHYTRzuMjVKBUt2A8jPeFVBwdB vFJDuXSYPGUlJ+u6y3kUUbUtWEjDQRhf2WAOvWJJQCCSSsv1po6N7FJZ5SuupYgFBIqHPSSI 9Pg/ERHeRwiJq93xdfdr8Pzw+I8MDyygb8f96/kfYft8etmdflI2KKG/kGmFKVawCbUKcoII K9WdruPWh/LlDQTTL+f9y27w+Lx7/OckmnuU8KPSYiuMJPhMTahKoLIM5AJWqvxjg4+rosm3 qqhr0L1RlJSPMxXVec7xAX4MzF1M35hVgm83Ee+lEU1CKdJaHlakMCm6DhllChkwEkVPkZ2E 5t0NIjkFaRJRhgvh+oSsav5dVY91wE6dIKfr69W/Q7NTdsRTaevbvRyOH4Ng9+P9508jlLQ4 3cJtiZ5rDh25IMlSjBjliL/TxNtF25aI+tWpaLDFQXR4/Of9TS6S5cPrT30twk7xYUrq1HDi pvD1mkUVxunVkE16bDV8r4iw7labyw5juVUYZpRtE/vcT9jg91Nj4jz9Z/Dyft79u4N/7M6P f/75pxJVTwQdlHXDn3WYe2mheg/bGGnO9CvHt8lTqBDR5OIS76oRjR8ncbksgUhUYlxN0qki f38V27i0Y4yzMo25Px3DIo7mZuGWRlizMebWVNTfn2L4C7bQVgTE1aEyYWHrM28gV4At060B FQfW3ADKBIHqWSnAVUW+4hC4HPlm8WbWKmZy1A1OxByug9Qv1FDbokS0io0eiZDB+PbB7Glm 9r2LPWxUIIKHWfMF95uPTrF60D6GjvKOk88rHC8m8BUKrBtGvbF8fD/uzx/28S1aVtXffaQ4 QOVmVPW+raYsZROUKv0wsIYFv+sAE0+F0k/X9TBV2qbqAG4rYdWGReV4k3LRjtUiySugPXD7 1pivbmcdi3GkG9QWQ5WgUKosb7lX9NBrEgYHp6+uGQndprkJyr6bELn14EJNlfyqMghyZ+U9 frydD3A7H3eDw3HwvPv1JqKzasQ1ixYs48qrZBU8suFwOZoNCqBN6kUrn2dLNRqbibEL4W4k gTZprmZ66GEkYcfKWF139oS5ep8XzIIB2wd3ZW5V0sDt2oVtylFLHfBC8EV4ChRW0cV8OJrF VWQVxxjcJNBuHpVWMjm6iRF/2Z84dsBZVS5DNRRSA28uBek18X5+3sF18/iAIdfC10dcmOje 8N/9+XnATqfD416ggofzg7VAfTWhRDsFBMxfMvhvdJWl0d3w+mpiERThd25tFgxRzIBzWbed 9YQ/08vhSQur3jTh2QP1S/s7+mruvK4dz4JF+caCZVQjW6JCOC83OesSty8fTs+ubms5ats9 RQG3VONrSdnEzvsJDIPdQu5fj3wtoI+CIE0OLbocXgV8bi9ycRBYk+P6tnEwJmAEHYfPDZJN zO1x5nEAG4sEq3qYHjyaTCnw9cimFim8CCBVBYAnw5G9oxb58NYGbzJJLI/8/duz5sPYHdD2 McKSyuP2smK5b08lXGmbOSc+SItoVa7WTgAhDiRx+8DEkJvuQkVpfzqE2pMVhPYQ5kbU2nbD LNk9cXkVLCoY8cna84Q4R0KiljDPtJxa3Tloj73cpORkNvB+Wjqp+7g7nbR0q93ojZB47cFy n1qw2dhePGjTImDLbr/nILodXgbJ+8sPkO8XMkQB1ROWYNjujLqTg9yTOVlojDiIzMUpMRQv IDB46FIIq4VvHB8Whuj0qDJayiWMIeadiJo8hTps4WIROgpqPjpkw0uZZ+aSDnoDfF+M73Cl RFBjNkrbGWN3PKPXK9ymJxH+77T/+fogopoKfY0h6Xk8YSC4SyHLloT3P44Px4/B8fAOIqL2 PkAwnypTCiIZJm3J9ZBMQiwWL0x6PGXpaRxJgZVPgB+u55ifQXfeUUmiMHFgMQxlVXLVSNA5 qfocvY5V406LcoLVJeZjLspS29+++joWKeyrDGopq1ovdT3S70kAXJK0G4KI+6F3NyOKSgzt 9N+QsHzDHMZNSeE5HuMD9oboU8S95sbXVq9P+7qwKuClXAZoqmcl9U5XcbvFwDWX5wSOsi52 Zj+3CJXeADoc7fmoERIn5YcGtc5PODiJmhGq1NxbH+/HJDUcoDScrGV7j2Dzd72dTS2YcHHO bFrOpmMLyPKYgpXLKvYsBOqU7Ho9/5sF09U9/YDqxT1XtpGC8AAxIjHRfcxIxPbeQZ864Mrw yxDY5RDXGwWrV7peqoN7MQmeFwqcFUXqc4YRvWEqc6Y4E+IbOjhJQmXOg+9qFOUIba/2MdNq 2xQHvvZJXqeIE594LvyFsGllAeZV443TnzDRPQaH0w6KNA8cuy0IaN0hz7+LAI+Utjrj6CDT NZji885wweFoVm7YeZqUyovD3jsO4JTGRdDP/p0pBgAJGWqhpQvUfhqhQ3pUlqZaYNVuJgEn xDy12P8AyqA8IZy1AAA= --sdtB3X0nJg68CQEu--