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=-7.5 required=3.0 tests=BAYES_00, HEADER_FROM_DIFFERENT_DOMAINS,MAILING_LIST_MULTI,MENTIONS_GIT_HOSTING, SPF_HELO_NONE,SPF_PASS,UNWANTED_LANGUAGE_BODY,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 500DDC433C1 for ; Tue, 30 Mar 2021 20:01:43 +0000 (UTC) Received: from vger.kernel.org (vger.kernel.org [23.128.96.18]) by mail.kernel.org (Postfix) with ESMTP id 1707F619C2 for ; Tue, 30 Mar 2021 20:01:43 +0000 (UTC) Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S233314AbhC3UBL (ORCPT ); Tue, 30 Mar 2021 16:01:11 -0400 Received: from mga09.intel.com ([134.134.136.24]:21622 "EHLO mga09.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S233298AbhC3UBK (ORCPT ); Tue, 30 Mar 2021 16:01:10 -0400 IronPort-SDR: lcEVUQFOV+M5Xb7GE9KcIPFtHSNCN9PJahLLjwGA5HM0tBhrXQCATWzwh634ZC4C4sdcQURIbP F6CO/sDrNd5w== X-IronPort-AV: E=McAfee;i="6000,8403,9939"; a="191948266" X-IronPort-AV: E=Sophos;i="5.81,291,1610438400"; d="gz'50?scan'50,208,50";a="191948266" Received: from orsmga006.jf.intel.com ([10.7.209.51]) by orsmga102.jf.intel.com with ESMTP/TLS/ECDHE-RSA-AES256-GCM-SHA384; 30 Mar 2021 13:01:08 -0700 IronPort-SDR: u4AzXSDWQMnzok7K4nL7ac9HxNxngY67WQJR169i+AaRbgvc8GAX88wbQ3dbHaaZTA1BpTmY8y YmgUQJ/xWqKw== X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.81,291,1610438400"; d="gz'50?scan'50,208,50";a="378615520" Received: from lkp-server01.sh.intel.com (HELO 69d8fcc516b7) ([10.239.97.150]) by orsmga006.jf.intel.com with ESMTP; 30 Mar 2021 13:01:06 -0700 Received: from kbuild by 69d8fcc516b7 with local (Exim 4.92) (envelope-from ) id 1lRKXx-0005S2-Tl; Tue, 30 Mar 2021 20:01:05 +0000 Date: Wed, 31 Mar 2021 04:00:27 +0800 From: kernel test robot To: Johannes Berg Cc: kbuild-all@lists.01.org, linux-kernel@vger.kernel.org, Richard Weinberger Subject: ERROR: "X86_FEATURE_XMM" [drivers/fpga/altera-pr-ip-core.ko] undefined! Message-ID: <202103310424.Pr2MePtr-lkp@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="Nq2Wo0NMKNjxTN9z" Content-Disposition: inline User-Agent: Mutt/1.10.1 (2018-07-13) Precedence: bulk List-ID: X-Mailing-List: linux-kernel@vger.kernel.org --Nq2Wo0NMKNjxTN9z Content-Type: text/plain; charset=us-ascii Content-Disposition: inline tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git master head: 2bb25b3a748af6f11df42298e80b9863ed23f2b3 commit: a30cc14fe49c2d5913caf6b987d7cbd86c5e370b um: Don't use generic barrier.h date: 1 year, 6 months ago config: um-randconfig-r013-20210330 (attached as .config) compiler: gcc-9 (Debian 9.3.0-22) 9.3.0 reproduce (this is a W=1 build): # https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=a30cc14fe49c2d5913caf6b987d7cbd86c5e370b git remote add linus https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git git fetch --no-tags linus master git checkout a30cc14fe49c2d5913caf6b987d7cbd86c5e370b # save the attached .config to linux build tree make W=1 ARCH=um If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): >> ERROR: "X86_FEATURE_XMM" [drivers/fpga/altera-pr-ip-core.ko] undefined! >> ERROR: "X86_FEATURE_XMM2" [drivers/fpga/altera-pr-ip-core.ko] undefined! >> ERROR: "X86_FEATURE_XMM2" [drivers/mtd/nand/raw/nand.ko] undefined! ERROR: "X86_FEATURE_XMM" [drivers/misc/altera-stapl/altera-stapl.ko] undefined! ERROR: "X86_FEATURE_XMM2" [drivers/misc/altera-stapl/altera-stapl.ko] undefined! --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all@lists.01.org --Nq2Wo0NMKNjxTN9z Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICO92Y2AAAy5jb25maWcAnDxbj9s2s+/9FUIKHLTASeO113v5DvaBoiibtSgqouRLXgTX qyRGd+09trdN/v0ZkrqQErUJDlC065khOSTnzlF//eVXD71ejs/by363fXr67n0pD+Vpeykf vc/7p/J/vIB7Mc88EtDsDyCO9ofXbx9en73pH5M/Ru9Pu1tvUZ4O5ZOHj4fP+y+vMHZ/PPzy 6y/wz68AfH6BaU7/8b7sdu/vvd+C8q/99uDdq9Hj8e/6L6DFPA7prMC4oKKYYfzwvQbBj2JJ UkF5/HA/moxGDW2E4lmDGhlTYBQXEY0X7SQAnCNRIMGKGc94D7FCaVwwtPFJkcc0phlFEf1E AoswoAL5EfkZYh6LLM1xxlPRQmn6sVjxVLKlTmemzvrJO5eX15f2DPyUL0hc8LgQLDFGw0IF iZcFSmewO0azh6vxnTxkjZ8TFJC0yIjIvP3ZOxwvcuJ6dMQxiuqzevfOBS5Qbp6Mn9MoKASK MoM+ICHKo6yYc5HFiJGHd78djofy94ZAbMSSJvL6GsZwyoUoGGE83RQoyxCeOxjMBYmo3y4/ R0sCW8VzYAuED+YFTqP66OAovfPrX+fv50v53B7djMQkpVidtJjzlX32AWeIxjZMUGbyak4Q ED+fhcLk9VevPDx6x8+d9bvLYzjWBVmSOBM1w9n+uTydXTxnFC/gsgnwm7W8xbyYfwI5YozH JoMATGANHlDsOEQ9igYRMccoqL2NejY6mxcpEcAEAyFwbrXHeb1YkhLCkgymj0m9TZzkH7Lt +W/vAqO8LcxwvmwvZ2+72x1fD5f94Utn4zCgQBjzPM5oPGv3nwhqbgF+NrJXqWHg5PYnGFCM pjj3hOsy4k0BOHNt+FmQNZy6S6+EJjaHd0BILEQzZcWlvXq7FF3oPxwL0YVW8EaixO5r+fgK xtX7XG4vr6fyrMDVCg5sY5xmKc8TYW4RlBO7FtWkhcBz07qFiKaFjWmVPRSFj+JgRYPMpeZp NjhSwxMaiGFO0oAhw8xqYAiC+ImkPXhAlhSTHhhEBCQuc6ztJ6FTTZr5wCC4eJsTvEg4jTOp S2DzLe1TG1W2Vc3iXACsG5xbQEClMMq6ol0fHYnQxrG8Hy3kVpWDSAPbYaSIwcSC5ykcBJjx drKgmH2ibm4A5wNuPISMPjE0hFt/cl26HGO4FvX72vKtPAETBE60CHkqLRz8h6EYWyfZJRPw h2M15TlyGlzdGM4sCdsfWpkt+Qe7QsEDpe7bmZGMgRoXlRNymQF1ga2TqjVlDqpgG+OEC7p2 2tvGrIIgLVz3nBv2kUQheAdb0nwk4GByJ4NhnpG1wZj8CbrW8bcajFmyxnNzsYSbuxJ0FqMo DEy7B9sJLXVW7i8MXGc1B3NjkiLKnSdBeZHDYbhUDgVLCputDtyIsWBqH6UpNc3BQpJsmOhD Cuu2Gqg6SKluGV0SS4iMK27YlHKjPJNzt8APCQLb1CX4anRt0irLXQXSSXn6fDw9bw+70iP/ lAdwXghsOpbuCxyxaeR/ckTNypLpWymUu9WupBXyKPf7Fq7VPc4SlEFsunCrSIR811XDpPYi 3B8cD3eXzkjt5p2zAZE09hEVYGpBtTizZzfxc5QGEI+5JTAPQwjkEwTrwW1CEAxW2xDwjcgI KwKUIZlf0JACAbUDsSTlIY3c0glmFxPlEITp9e14X11kzqL355dyt/+833nHF5k7ndtoBLCG ZDMjqoCQjnKtRuaaMm4NIzQDU5QnCU+NgFKGpOBg+ggBAflCj+7hmoAWEhw/Bc8EtwNOyLAa nx6u2owsTqVzFQ9XenPz4/nivZyOu/J8Pp68y/cXHZFZ8Uq9u+u7G6dksOkbiEzgQRxja8fV sJu7G8vyJ6AQNGeUuidq0G/j2ZvYazd2MbCxxe0A/M4Nx2kuOHHjSAjCS3jsxq5ojOeQrg0w UqEn7niEgSgMzDsjPCCz9dUb2CJaD+xmk9L14HkvKcKTwh2aKOTA2UlfOTAKdN99feu7m1oD HJIksVSa0VjuBkNWCwo0p2H2MDVJoqthHHiOIgFDoiNIkRvqLNEg3Tagcsw3110wX9oQBrEf y5nKrkLEaLR5uLFMFyZCyAiKRAS7TK0cCNZAbdCwQTVY3VExGfcxiAV94Hwz47FjFtAOlKd9 BFijWDAC1te1RM6wE/5pjviaxqbF/aEFMiytPDjTMtxc+9R1NPJ8zeVVjQKclv758G572n39 8Pr8YacKYucP+wkMeCw/699NoWRSROCMoyKZZTKbFZ0JZVFK4CrU6iJTIiVH1mCKZRWQAIKg vuGerwik+FasC/YeMm9VH3PViQJYNqWQ1gcbu/AAq3WLIa1yxYJHrlh8AeoBm1Q+puDgkFNw Do1DQwkE4g/PhlOz0rvqaPRBiYdJ47EIluFISyhvT4agUnDkmbZ+rJEEp6OtXbCHv25P2x0E S15Q/rPflYYPFhkwnRbVFg23KQy9iCHoBiVGdoQALCigO8zPNj1k7corlDnZGgwNGxoQ81oV 9KgmZosLyIu5Br/7/Pif0X/Dv67emQQa9w32/vzO2FsFf7l8f2eeMmSScdDemOtnIat9VWpi yI6s4nEgNW/Ece5WYVSq0v5S7qSuvn8sX2AkRLf9OAmnSMw7aypFmYxBhwsehkXWwawQxMHg +SAGTEGX6sqoo/xYSVsB0V5mFRl05ViJNljUjMhqb10Mq0WcBznotjL0MmNLLWMaAS3kGnix glDV0HEulZDORC4gfggmPQTCmcWrslRKAcy7V/G6PgAbpXYFulbV76xSlzRjkBv0ssiGQoaR ZhZhWQR9eZgv3/+1PZeP3t86PwED/Hn/ZNX+JFFlHMxKPwBV4p8V18WtFTq/MWljLqJ8RmMl bBgbNWt1lfIVQRM4Q/IfSJpRvWIyRTbNtUoWBZNJ4VXn3q1AU4Hk9iDQjjhy5SUVTR5L/OBg jXZbYh5UkjxgqfU8IsVNzd9ZLajp6MzBBUA1J28OtFNrAy7m6GpgVkCNxwPBsk01HYhYLarJ 3c/MNb0av70R0PL5w7vz1+3Vu94cUs1SiKWc62QpZXBboPxBsZCFhcF1BNASKRZ8kSdWSUfq m6v+IeIrw//FNAZ/DuwmoABSPrDx9tWWR5V+km/l7vWy/eupVE98niodXKxkzKdxyDJpsVxl KI3UUYLFq0YwKlzhsrTOQc4SU/uGWFG8sPL5ePruse1h+6V8dtp9SHUzKwmWgELF4wCGyN6I EUQSgSVMMmXAVJZ6bdnKjk1ldJb2cv6FYI6d1e8SMp6RkXeBgiB9uB7d3zT+mYAEQKijQtUF M10AQbFKD6w6p11eraCfEs6j1td+8nMj0v40CcE5KPdaQ5RJ4q6rkO9DuvYh0/6F/e5CUhVP Q5Boma+ZLI8TSAcZ6paAqsscvi/jJYpkPX+hPb8XnPb/6PJWGwJAqKbBHu+VRrQPmpMoMZ2y BYY9ZnOr6h2QZcaS0KWIsOM4QJF230aqpCcMacrASxP9KtrbQ7g/Pf+7PZXe03H7WJ4MCV0p W29GuQ1IXUEAM1qlabiSZjXDibWjZLmx3XfDqZMAkr8okhGG0z61Q9xmrLrY7uaMwi0I2Eq9 PdTa7VQPP4d/p3RpM1zByRIWHhwmX7OrsRCcQJ5rxDEKh8QmxjUFhGE+aU+6qV6BQOu3IMNt p2Rm2Qf9u6BjbAapA2KoLt1/PXuPTbrQDDHBDSexMGvUmaWp8FPtZcBlAxazQJl3iFUzpxMB Gh5qdHdmlN72xyl+k+3pspf78V62p3NdWjaGwpX6nGf94c1e+1PolAr+9NhRvj/qUnR22h7O T6o1xIu23/VaJvM8Ee29SYhck0r7CxrCkMha/5Ui9iHl7EP4tD1/9SBse/EeG9thHlpIu2fx JwkIVkIycIggMV0hqqaSLw7q9YnHdlhXoWMuVsgl/jWBD7Zjk4GLXqHENUFk4N+YZkY4I1m6 6U4hZddH8aJQD6/F1cAUHbLxD6a5/rlp7izZ7vFy8yZ60mNC7pMO7UAh3UMGor0afTekOZnz QlTpC+zxG3wgFoi+LksMeBOXD6/ReUYjW8RAqrvzpNwVbSid9gU4JdNOvaEU5sAYfJzOk597 YEhzQfgg2mVMRgQ/IoCUB9v3mqKVIhwe6uN5o8Xbfz+Azdg+PUEuJ2m8z5r14+FyOgK0DQXY /ryzVVvNKf8lu3eeNVWUQNTl/Zf+79hLMPOedUTitA6KzOb0I8SvvFH/5mh/PLF9bRCDgzVI B64u96m9KgCKVVRk81R2AEEMZwaONYFP/Krlazzq4kKwjqxvUyRqFuXEpw5OeGiSg+uADCIb 6BwD7IL7fxpViFBFuMR0aQCj6cfOpOCt007LgrqqeMmIJ15fXo6ni+k5LXhz9YaPrcOOYDqe rosg4ZmpMwZYunFXTJEztlGMNldAsbifjMX16MqcCgLdiIsc4j2IpVTg4DQtKAnE/d1ojCI3 nopofD8aTVwxuEKNR0bxjMSCp5AJAmY6HZns1Ch/fnV7O3I/oFYkiqX7kfttZc7wzWTqSncD cXVzNzbXxGNZv+zdHSGJtEtn4/bqM1OYAmUDGXyFj8gMYVcbS4VnaH1zdzttz6WC30/w+qYH BQ9S3N3PEyLW1v1pLCFXo9G1M3Lp7EP36JXftmePHs6X0+uzekaHpP9UPnoXGb5IOu9pfyi9 R5DK/Yv805Te/8doNRw9XcrT1guTGYIsuAq1H4//HmS47T2rKMr77VT+7+v+BOEUSPbvhirI miSS7iaJaktIDxewqYxiMFqn8kk187b31SGR0aoObmucwDR0gJc8saHNYQMGkph+fNkuop5h 7OlaJN6eHl0sDNIf2wcdcYHdmSnnb5gL9ns3mZS8G3zXPZxvnFMjZnjOzYqFZZAqXgWtIMYp 11oJSFniMadwDdDH2RTDexYvy4w3d7DV6/s7+YBgRaJasRR4oBqlnvg7zz5tai6fMGAd55sQ FVh1sFV1yTabtqov8HvRae0B80lRpFLEjoi0fGWb4Z6n+crR5yEfIjTU9RYCrM4Syq3HExpF m976dcdo79i1wIEH6d2nzg7bH4XPURrIuMFcTiJ0/d1l+CVS9aYsTYslwSx3dSxITJXN2w3a EiGy3O9OIyK0dHcDSKzOq2UM+AMSFM2488DMk2l4mRgHIxJmpV5z4YpBErsFFX722490npoI b/e01ya1eyNyGI6orNEsVBday4aBUhJsFLlajBKV53ah6vuH4+nctZlJlgAbx93fXQQ5qApm Mt9E1FfPyzHJZJ9/ASD19gLmmSWyVehyhG2V3uVr6W0fH1XmvH3Ss57/MG1Tf7GGdxrjLDVK 6xIAf/XffnsIfa/OCQBQMJyMJ2J0ZxRQ4HCspvwKoGJOWVyrgtLp1bhLAUGWbB3pLt7VTPlb N086JEQhIR64nYzWjXMD4ZNwr/z2AkdtxfWKHgXJdHrX2UQ1ixVUtfCxO1pSBAlG99PJmwTh 3fTWpbgKnSUUj++uRmZG4diDjnbDoL+31vX0sfYWOZaPB8YOE76SRmPpOluNgyCeGC+jBlB1 MiOzFywlqhgE3syowcmQnblRejL5FB9t3FAtE5YRCJCmcL2Ky3KfQlphKpjSmdwlXPvoxlU0 8BFkNiksJsa3KsTtwIUvXBMC+I3J/I/j2/XaaKjtIGxP0UVC0JrDVmFH8gD7k4BUXt2Ori1x 7eDcvUw180B0d2/nHT2aKLm7Hbu7pWoSJW5vzpFNbqauQ68JAlK9i0u2r2+mRgRfk8ChXF9N 127EeHrruhyJup1M3+QNaKZwCG8wJ5g/ub51HfIM5TMCu8Pj++u3tpdm99fTqTlDNicpQ643 1RXK8DzgxltLDek1cjeImK/QhueuOKKh0S3mhdJAEqsvYxxL8ITEyhfBbO23cg1ameC6NrPa XnZfH49fvORUys9ojq8Xb3aE6PlwNM1tMzhJSTVzMTM70QYIZNdZe9tDRDHnyY+nSlBMsfPo DML6ga6e9q3THBhWr2OfT+/pqo17eZg1k7oe8yiVrUqtULTBk4/vJjejYhVkRqEILg+NrxTQ 6noyxhtNHLM8kg3N/daM0/bl6353ttL3+qWji2sYspp65AHhCFHDauXCL/gcUwgGsgwkkcQB tZuX8pWrORw8h5DfgFl1zwo2EArqN0Zx2UNg9Ng/9WZ0HgsUyhZ+kTPy5iwqNcVN0dF1lzFZ QXIVDJSAsGylpD6FzfcrXQFDfh4aD9etgMhnq5BGxBlid8YZy+VrCGUT94dAuQpl2x/gTtOl DAetiteSpvWTmlHAk1AZRJA4r8Wc7Xen4/n4+eLNv7+Up/dL78trCaflEJ4fkRr7ztCs0zTf 5gkr2b/Q7XjQp6ZiYXF8PYG+mTdfJ3EufCNoiEY+X1spGmcsr/sEe6ulICCXUpYZXGs5sHrU y/P5i3OAhTCNRC4/lEv7Eio49n4T6utAjx8gRd2//O417Yud6gZ6fjp+AbA4YtfqLrQeBxOW j4PD+lj96nk6bh93x+ehcU68Lvuukw/hqSzPuy2kSx+PJ/pxaJIfkSra/R9sPTRBD6eQH1+3 T8DaIO9OfGsHMTjQWjnWsvfs29BELmxT//mpu23iZSaLJ2FKPtYrVz9dHrlCaSdLWQLGmMcB YdajjEk08KGdRSIjbtGpKDjoZNeBSBAmAyshsJJLUqdx9SYc5rbdse4zdBeT1xke+qhBfWju Lm7Y4Wy94MpwZvCjCYYMkEwDb+6mTRaaftSPbP0KUZP3Gl0SYOix08735mmTLZmDwY8s5VHU Pn4n84312XKbi9ZJ/3zjXMke2MkRsfPJOUVNRIgOj6fj/tFcEGQq5dT9EXZNbkgUcmXI8bJT LtTpZK8eoL8mWslK+m5/+OJ6fRAZc7LiGFWvLivurbBWlfQkLWhSP5G2nTJAWvgpDWbuqpnC B6G7ZTZ0l78YxORmfxrla/uXrJjWBZMaHFEGUMuTyU9Q4O944EMO/amfWYDuRK1VAxPYWS0c hj1ZoojKNBW2oPukjU4rspau09STGqKbFgtu1/dkrKO6h4e8PwwkMU43qsfCSRHEPKPhgGpr XDH4EW+I+qMr1MecZ+ZnB7IYrYHqf/Vh9cdpcF24sICyhdMUmo+yG3LpSh81xqhFqAlwZn1W Kou9obgunKUxjQScJaWyzdxJXr3EFuZ1tTDZ6ANRCJb/a4X0bQIUQUIK63LZ+WU997bEFFyO u2BmEK3hwtQu3uS2kB8BYZ5sakOEt7uv5sNIKHT35HMH0G9grBFzKuSX+Mj9yVdNNfwhbE3B /T/lgchPTd3PCppTbbXP5evjUfW49nRMfoxl3YsCLLolAQWV3/pkbiOj8Kqnk/GYZs7+A0UD 3ikKUmK0uso2fJOB2v21NY2Blkn9n1YMa1fT363hneVTkrQF+htb17RxZPSCwY86EX94tz8f 7+6m9+/NRmxJgHnwf5VdSVMjOxK+v1/h6LnMRNDdGMx2eIfabNdzbdSCoS8OcNcDRzeGsE3M ML9+lCmpSkuqYA4dtDNTUpbWlJT5KcJvn5zSB1qa0IUuRIqoF9Aa5/Ls2Mk5cXLcuV24OOfO cs7HTo52g2/wKC8EQ2TizPhsIOPzjzO+cmR8dXru4jjr+erUVc9Xkyu3mheULxuIxFUOnWp1 6ch1fOJUhbHGZoleFcTUeq8WZSWSDPpUV5VwtaLkT1xZn32Q0GgISb6gyVZFd5/2kYLjCZ3j 2Bgjizy+XJUErTGLTr0AfOUccXZSIoiSOiYxkzoBZig1Za4XiZwy92o40iIKhkjYJBnMeOZF TIBKPGMWg+M2XkjEAQRZU7FCnUTWxLWtM1YI19ng1E25iKu5qU9TTykHySaLA+1aRxDAxS0F 2DMMkoAj3Slc0Kh2pmZT8mONdv222xze7UiORXSnwnOwX8zmuG7gyscKjyggdIktHnDlG90B QAh9NCesSQi+iRw+EYyxCudwOM6DPcjAgChoyrhmgmlU4c6sZhstFUBBCKhrKMacSQQKNErB iqGwJiyhAVbnzj8kAzMT24grC7yI+AUJuKIzYyZItoid+L5/2Gy/v+3b3fPLz/brU/v7td1Z aHB9FXnKLXtSpX9+gXM5cGY6er9/vj8Cl6bXzfZof/93y6p48/Nosz20j9Anjh5e//6iAaE8 3e9+tlvYufXdRY0M2mw3h839781/JeRgtxWIaxFxrEdjIoPHvOVBp7we4iNlIGhKESFNPIce BjoL8RndUZA5HjrLCjpu3hm9u/fXw8to/bJrRy+7EW+EP/6hC4O/hqcC+mjkE5seqa48CtEW 9ZNFEBdzLfjV4NiJMGqOItqipbrB6mmkYGcMPpuqOzXxXNovisKWZkQ7b/DmsUXZDMvGmp2v oDsTdECSGPVhSc2m45PLtEksNcBFiyTaJeEfHV5NfEpTz9nESN+cchHTD5hvYd4efm/WX3+1 76M1dsdHuC96t3phWXmWMuHc0joKAoIWaqtSRy7DyrMU8t4OT+0WYEvBby/aolYQX/LvzeFp 5O33L+sNssL7w716UiRrKKB3gLIRhtnBnK1K3slxkSd349NjyrjqhtQsrliDUm0hWPSOThVy xbvKfpWXTXU+oT2DVRlWGHkhzkWq6Dq+IZpl7rFZ8Uaeffp41QLLwd5q/cC3mzWY+jatLgma PRSiwE6blEuil+RTGlhKsAummfvDb/WwKTkTRHfLkjwZlUNvLpvfnjHgCrRuuuiEOcQ2OOqM GWVW+nmqrqRSTap6b7gkP1XfPLb7g11CGZyeEA0DZOK7b29hmnZ/NktXj4/DeEp06dlwUqW+ rP4ZUhu0jmlXcRqzjhkl8JdQpExD1tmHugRInA8OGSbxwcBjEqcnQyOKx7pbRJYtRT4bn1if CXHstmx6SlRhBSeQfu4AcBOT+6wcX1ERAIK/LEAJaXhsXp80D7tuTrKHqocosoRWwHBheEmR rPFj2kKXEmUw0D38JF9OY8LekAwCSFd2Zi+N2P6NCtbqJGATItPbvDOSek6UFTrCSAR7in+H JBZz74cD+UF2AS+pvKEeKRcuQr0qcgCPdvyycN3Hdf2Sjv3oLAsaN1Sylzk01idEzA71hwQb 37X7vbYZ6KoeoAEiezFRYUkF7XJij0KAK7W7NqPOB02pH1VtB4uX99ufL8+j7O35od0JBJID pbSXVfEqKCjzOCz9mXTWIDhi+bA6IPK84SpGIbZAu/sQSFjl/gUBZGUEF5bqHlYx/FfCT97g LO1PiG5WAOyQ6F6UFpcyInsuTLPHE/WGr7pLIXaW7XVh31/fFSooTs8sGj8RMlXj62K3Z8dX qyAqa44JGVnXYsUiqC7hCukGuJCHkHhWJS5Y21UVHCFS6S+4rytLrLYhQIEhjAS/SlNxKe2h 0O4O4E7ADOA9oGqM9pvHLUKejdZP7fqXhsWjQJ1AkV/WLPH+O6RgYitm8X97bZ9VgHfAxqyZ NSmOVkrtgszmVxoEg+BzoAOlJumTlzwLvfKOKM3Mz0/Yfh9xP4UMfSnziXqRpftxBkXjbeBU rojJ5mF3z/b8u5e3w2arQ1gWnnW52WVVA44Ea2nFLV1c2E/jLATAB6Y5E1PGQl6GsWYDBmzP wgaZ2uWD8bk+LQUrbpqRgzdYxXWz0jM4PTF+9kd5esbAYcMi8u9cVpUiQq/VKOCVS5iI382U Btieyj13ZDfRVNcceZPY51YvnVI56+eBROp3d1XOFoIOGaNPANQwsuk/MOwhM9YZpFqrD1t2 +pzfVaqSs0KfEHoAVZPuPv72BzBIfx0pri98Gl0Bl4R4bWX6rPIgRkhkZo6VnjY5ham38orY CZFezRJ+7NZnPktyX/9FNEGQ/FjVniIHDzPoaNRpEWsxKmGcar/zGJAs2CaaoyZIheB8MIyK XEPCLTGwnTjLtsa9flApZ1Skvu4228MvDAT6+dzuHwm8Og4muEryGQeBlIdaF06J6yaO6h6y SC4fVg6TXmenHp21tPndfsV3EnDy26PoWjzZQjmt8hgeWMaJJua+56u0AXMZ8Ez7ip2WzMpG X4o/x8cnE9Vrp4wLfJXFhMdSvJm9EDP2KvpERgBssQz8PHEjyWiuDxJFHmGztOWLC7OVB681 0rhKwcNaO+zXOPwxmDxTY1z45yL+s7q0Cz0Qw20ZeQuJCKX2s0+3ip5ph6RnNJWJxaUen4ft w9vjo2YJ4KUmW5mjrDKQr0ToGOO7QKUwbb7MdJAfpLKaqPLM5ffTZw3wg8724/4Wla2UYHTD dqAQKQqH+58Qs0H6STHxpI8jE3g9BF7u+ER5AntLuGx9WK4YcHLkj5VhBVju6AFDZIJXU6Lb pFGasJ5oay85TiX4/UoDk5Cd+oYeqaJP8oeA4KKFWpw5qubCq7xM2kjKxSCSsWz8Xv0ipu/R 3ZoloXQXgRqYIqE7vQwQJ3lgdKEWw6X7a0IQE9WNgb0ldGiqclEyxsefUrigNJ4KEHU3B79P c1ii9qPkZf3r7ZUP+vn99lFZNRIM8OtCqpQ5KZ/WTibEBTGFvVQVK0Q4y4cy4ALYRD2wJc9/ NW8y/rKNOruJl6Ekq4s2GveYJX1BvZhTF0OkU6WrzeU1GWKjODrSNdpPWZAtm8xz7qtIkc0K 4EwrkIo/8mK4BXKivutFmuWcxiX5mIoAogfWz4ExBOUvoqgw5lS+RYHj+W4ojP65f91sMcD4 aPT8dmj/07L/tIf1t2/f/qX3LZ73DE0gBUBZfniZ3ww7cGIe8GnOSYOCTxVDQgR+mHSH+HLJ OfCgxBJvqq1BVi4r2r2Ms1FZwyIVTySYhfVkowhRGWj4ytWHNmKwNDYsa4CUceDs9N+kbsCk /fl/NKpm4uLk1n8RWisAF95kcNwXhQS8glgB+DIzvICwf2xb6+cVsQj0PHcjxFVNWBm2T6Xe V4bsCHTyjV1v6wjwg5J9eQav9tle5vAyF2EZqW2nxdqx1R2CKFyNCvyhtNg8jnTRdaVESCsv h9nrnBgV18K6LKVdKdiyUlZRWeYlm5H+4las5jyMs3fHInSCLWwW3NVqXGaWF/wblBWHr6eB PpxxZ+U306nmQ47YmiCv2eDsDxsH9apaxmBhU/lr8vIoxSFoP2sylaNCmd0QCxt2l/zdPtrJ vLyuEEwcCyJF+Ew+IDBfAkbtgABnrarMK+BJQKIheAX7bOSy2uneoVE/R+NF6Abj8hpGAS9j XQQeHhMpSUTOTphNH1LMrmybI5TpWqfvcgKSBnAG4NUHegj1j+n0ALRkv1LY6ihTBD4oSekE +MyNHLFatUfMIEAIQ6gLpQ+C4SdraGrMuiW8bpjyGQDU0Q/uk0VYqw/5wNkvnmRWWqdFOpK0 gPXu7R7Al3fNQj7CS1sTEMASV3mSp8zYcW6dcBcLH93lQVUd37roFQYPq8TB+YQ8UsTPmUe3 JmqsLiCOZLhPGtUppVQVFNqBFD9BZ4w6pyKPOJgEP9o1lfJjwNNz68T4bDJNKKdM5DdNHBrN disPzFQihDlMIYzCVKCE2xJ8+sJVBDpXmcnikL5d4x1qQe/JkHnjhIrmH1QhRDCrYHW9gHNr eFyARIVWk3doxs96rsZTUqIl0RcRbw10cXiikk2chUFGIwf2kra4oHYaM5Kzk+O+OuMvfgV5 WTbuKKTKg8BKeoFo/Ip8oAPpbOKMZxlsC5UV0CsTCX+lLvPGyeL/AFWWGnqoeQAA --Nq2Wo0NMKNjxTN9z-- From mboxrd@z Thu Jan 1 00:00:00 1970 Content-Type: multipart/mixed; boundary="===============5309160965509607133==" MIME-Version: 1.0 From: kernel test robot To: kbuild-all@lists.01.org Subject: ERROR: "X86_FEATURE_XMM" [drivers/fpga/altera-pr-ip-core.ko] undefined! Date: Wed, 31 Mar 2021 04:00:27 +0800 Message-ID: <202103310424.Pr2MePtr-lkp@intel.com> List-Id: --===============5309160965509607133== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: quoted-printable tree: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git = master head: 2bb25b3a748af6f11df42298e80b9863ed23f2b3 commit: a30cc14fe49c2d5913caf6b987d7cbd86c5e370b um: Don't use generic barr= ier.h date: 1 year, 6 months ago config: um-randconfig-r013-20210330 (attached as .config) compiler: gcc-9 (Debian 9.3.0-22) 9.3.0 reproduce (this is a W=3D1 build): # https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.gi= t/commit/?id=3Da30cc14fe49c2d5913caf6b987d7cbd86c5e370b git remote add linus https://git.kernel.org/pub/scm/linux/kernel/gi= t/torvalds/linux.git git fetch --no-tags linus master git checkout a30cc14fe49c2d5913caf6b987d7cbd86c5e370b # save the attached .config to linux build tree make W=3D1 ARCH=3Dum = If you fix the issue, kindly add following tag as appropriate Reported-by: kernel test robot All errors (new ones prefixed by >>): >> ERROR: "X86_FEATURE_XMM" [drivers/fpga/altera-pr-ip-core.ko] undefined! >> ERROR: "X86_FEATURE_XMM2" [drivers/fpga/altera-pr-ip-core.ko] undefined! >> ERROR: "X86_FEATURE_XMM2" [drivers/mtd/nand/raw/nand.ko] undefined! ERROR: "X86_FEATURE_XMM" [drivers/misc/altera-stapl/altera-stapl.ko] und= efined! ERROR: "X86_FEATURE_XMM2" [drivers/misc/altera-stapl/altera-stapl.ko] un= defined! --- 0-DAY CI Kernel Test Service, Intel Corporation https://lists.01.org/hyperkitty/list/kbuild-all(a)lists.01.org --===============5309160965509607133== Content-Type: application/gzip MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="config.gz" H4sICO92Y2AAAy5jb25maWcAnDxbj9s2s+/9FUIKHLTASeO113v5DvaBoiibtSgqouRLXgTXqyRG d+09trdN/v0ZkrqQErUJDlC065khOSTnzlF//eVXD71ejs/by363fXr67n0pD+Vpeykfvc/7p/J/ vIB7Mc88EtDsDyCO9ofXbx9en73pH5M/Ru9Pu1tvUZ4O5ZOHj4fP+y+vMHZ/PPzy6y/wz68AfH6B aU7/8b7sdu/vvd+C8q/99uDdq9Hj8e/6L6DFPA7prMC4oKKYYfzwvQbBj2JJUkF5/HA/moxGDW2E 4lmDGhlTYBQXEY0X7SQAnCNRIMGKGc94D7FCaVwwtPFJkcc0phlFEf1EAoswoAL5EfkZYh6LLM1x xlPRQmn6sVjxVLKlTmemzvrJO5eX15f2DPyUL0hc8LgQLDFGw0IFiZcFSmewO0azh6vxnTxkjZ8T FJC0yIjIvP3ZOxwvcuJ6dMQxiuqzevfOBS5Qbp6Mn9MoKASKMoM+ICHKo6yYc5HFiJGHd78djofy 94ZAbMSSJvL6GsZwyoUoGGE83RQoyxCeOxjMBYmo3y4/R0sCW8VzYAuED+YFTqP66OAovfPrX+fv 50v53B7djMQkpVidtJjzlX32AWeIxjZMUGbyak4QED+fhcLk9VevPDx6x8+d9bvLYzjWBVmSOBM1 w9n+uTydXTxnFC/gsgnwm7W8xbyYfwI5YozHJoMATGANHlDsOEQ9igYRMccoqL2NejY6mxcpEcAE AyFwbrXHeb1YkhLCkgymj0m9TZzkH7Lt+W/vAqO8LcxwvmwvZ2+72x1fD5f94Utn4zCgQBjzPM5o PGv3nwhqbgF+NrJXqWHg5PYnGFCMpjj3hOsy4k0BOHNt+FmQNZy6S6+EJjaHd0BILEQzZcWlvXq7 FF3oPxwL0YVW8EaixO5r+fgKxtX7XG4vr6fyrMDVCg5sY5xmKc8TYW4RlBO7FtWkhcBz07qFiKaF jWmVPRSFj+JgRYPMpeZpNjhSwxMaiGFO0oAhw8xqYAiC+ImkPXhAlhSTHhhEBCQuc6ztJ6FTTZr5 wCC4eJsTvEg4jTOpS2DzLe1TG1W2Vc3iXACsG5xbQEClMMq6ol0fHYnQxrG8Hy3kVpWDSAPbYaSI wcSC5ykcBJjxdrKgmH2ibm4A5wNuPISMPjE0hFt/cl26HGO4FvX72vKtPAETBE60CHkqLRz8h6EY WyfZJRPwh2M15TlyGlzdGM4sCdsfWpkt+Qe7QsEDpe7bmZGMgRoXlRNymQF1ga2TqjVlDqpgG+OE C7p22tvGrIIgLVz3nBv2kUQheAdb0nwk4GByJ4NhnpG1wZj8CbrW8bcajFmyxnNzsYSbuxJ0FqMo DEy7B9sJLXVW7i8MXGc1B3NjkiLKnSdBeZHDYbhUDgVLCputDtyIsWBqH6UpNc3BQpJsmOhDCuu2 Gqg6SKluGV0SS4iMK27YlHKjPJNzt8APCQLb1CX4anRt0irLXQXSSXn6fDw9bw+70iP/lAdwXghs OpbuCxyxaeR/ckTNypLpWymUu9WupBXyKPf7Fq7VPc4SlEFsunCrSIR811XDpPYi3B8cD3eXzkjt 5p2zAZE09hEVYGpBtTizZzfxc5QGEI+5JTAPQwjkEwTrwW1CEAxW2xDwjcgIKwKUIZlf0JACAbUD sSTlIY3c0glmFxPlEITp9e14X11kzqL355dyt/+833nHF5k7ndtoBLCGZDMjqoCQjnKtRuaaMm4N IzQDU5QnCU+NgFKGpOBg+ggBAflCj+7hmoAWEhw/Bc8EtwNOyLAanx6u2owsTqVzFQ9XenPz4/ni vZyOu/J8Pp68y/cXHZFZ8Uq9u+u7G6dksOkbiEzgQRxja8fVsJu7G8vyJ6AQNGeUuidq0G/j2ZvY azd2MbCxxe0A/M4Nx2kuOHHjSAjCS3jsxq5ojOeQrg0wUqEn7niEgSgMzDsjPCCz9dUb2CJaD+xm k9L14HkvKcKTwh2aKOTA2UlfOTAKdN99feu7m1oDHJIksVSa0VjuBkNWCwo0p2H2MDVJoqthHHiO IgFDoiNIkRvqLNEg3Tagcsw3110wX9oQBrEfy5nKrkLEaLR5uLFMFyZCyAiKRAS7TK0cCNZAbdCw QTVY3VExGfcxiAV94Hwz47FjFtAOlKd9BFijWDAC1te1RM6wE/5pjviaxqbF/aEFMiytPDjTMtxc +9R1NPJ8zeVVjQKclv758G572n398Pr8YacKYucP+wkMeCw/699NoWRSROCMoyKZZTKbFZ0JZVFK 4CrU6iJTIiVH1mCKZRWQAIKgvuGerwik+FasC/YeMm9VH3PViQJYNqWQ1gcbu/AAq3WLIa1yxYJH rlh8AeoBm1Q+puDgkFNwDo1DQwkE4g/PhlOz0rvqaPRBiYdJ47EIluFISyhvT4agUnDkmbZ+rJEE p6OtXbCHv25P2x0ES15Q/rPflYYPFhkwnRbVFg23KQy9iCHoBiVGdoQALCigO8zPNj1k7corlDnZ GgwNGxoQ81oV9KgmZosLyIu5Br/7/Pif0X/Dv67emQQa9w32/vzO2FsFf7l8f2eeMmSScdDemOtn Iat9VWpiyI6s4nEgNW/Ece5WYVSq0v5S7qSuvn8sX2AkRLf9OAmnSMw7aypFmYxBhwsehkXWwawQ xMHg+SAGTEGX6sqoo/xYSVsB0V5mFRl05ViJNljUjMhqb10Mq0WcBznotjL0MmNLLWMaAS3kGnix glDV0HEulZDORC4gfggmPQTCmcWrslRKAcy7V/G6PgAbpXYFulbV76xSlzRjkBv0ssiGQoaRZhZh WQR9eZgv3/+1PZeP3t86PwED/Hn/ZNX+JFFlHMxKPwBV4p8V18WtFTq/MWljLqJ8RmMlbBgbNWt1 lfIVQRM4Q/IfSJpRvWIyRTbNtUoWBZNJ4VXn3q1AU4Hk9iDQjjhy5SUVTR5L/OBgjXZbYh5Ukjxg qfU8IsVNzd9ZLajp6MzBBUA1J28OtFNrAy7m6GpgVkCNxwPBsk01HYhYLarJ3c/MNb0av70R0PL5 w7vz1+3Vu94cUs1SiKWc62QpZXBboPxBsZCFhcF1BNASKRZ8kSdWSUfqm6v+IeIrw//FNAZ/Duwm oABSPrDx9tWWR5V+km/l7vWy/eupVE98niodXKxkzKdxyDJpsVxlKI3UUYLFq0YwKlzhsrTOQc4S U/uGWFG8sPL5ePruse1h+6V8dtp9SHUzKwmWgELF4wCGyN6IEUQSgSVMMmXAVJZ6bdnKjk1ldJb2 cv6FYI6d1e8SMp6RkXeBgiB9uB7d3zT+mYAEQKijQtUFM10AQbFKD6w6p11eraCfEs6j1td+8nMj 0v40CcE5KPdaQ5RJ4q6rkO9DuvYh0/6F/e5CUhVPQ5Boma+ZLI8TSAcZ6paAqsscvi/jJYpkPX+h Pb8XnPb/6PJWGwJAqKbBHu+VRrQPmpMoMZ2yBYY9ZnOr6h2QZcaS0KWIsOM4QJF230aqpCcMacrA SxP9KtrbQ7g/Pf+7PZXe03H7WJ4MCV0pW29GuQ1IXUEAM1qlabiSZjXDibWjZLmx3XfDqZMAkr8o khGG0z61Q9xmrLrY7uaMwi0I2Eq9PdTa7VQPP4d/p3RpM1zByRIWHhwmX7OrsRCcQJ5rxDEKh8Qm xjUFhGE+aU+6qV6BQOu3IMNtp2Rm2Qf9u6BjbAapA2KoLt1/PXuPTbrQDDHBDSexMGvUmaWp8FPt ZcBlAxazQJl3iFUzpxMBGh5qdHdmlN72xyl+k+3pspf78V62p3NdWjaGwpX6nGf94c1e+1PolAr+ 9NhRvj/qUnR22h7OT6o1xIu23/VaJvM8Ee29SYhck0r7CxrCkMha/5Ui9iHl7EP4tD1/9SBse/Ee G9thHlpIu2fxJwkIVkIycIggMV0hqqaSLw7q9YnHdlhXoWMuVsgl/jWBD7Zjk4GLXqHENUFk4N+Y ZkY4I1m66U4hZddH8aJQD6/F1cAUHbLxD6a5/rlp7izZ7vFy8yZ60mNC7pMO7UAh3UMGor0afTek OZnzQlTpC+zxG3wgFoi+LksMeBOXD6/ReUYjW8RAqrvzpNwVbSid9gU4JdNOvaEU5sAYfJzOk597 YEhzQfgg2mVMRgQ/IoCUB9v3mqKVIhwe6uN5o8Xbfz+Azdg+PUEuJ2m8z5r14+FyOgK0DQXY/ryz VVvNKf8lu3eeNVWUQNTl/Zf+79hLMPOedUTitA6KzOb0I8SvvFH/5mh/PLF9bRCDgzVIB64u96m9 KgCKVVRk81R2AEEMZwaONYFP/Krlazzq4kKwjqxvUyRqFuXEpw5OeGiSg+uADCIb6BwD7IL7fxpV iFBFuMR0aQCj6cfOpOCt007LgrqqeMmIJ15fXo6ni+k5LXhz9YaPrcOOYDqerosg4ZmpMwZYunFX TJEztlGMNldAsbifjMX16MqcCgLdiIsc4j2IpVTg4DQtKAnE/d1ojCI3nopofD8aTVwxuEKNR0bx jMSCp5AJAmY6HZns1Ch/fnV7O3I/oFYkiqX7kfttZc7wzWTqSncDcXVzNzbXxGNZv+zdHSGJtEtn 4/bqM1OYAmUDGXyFj8gMYVcbS4VnaH1zdzttz6WC30/w+qYHBQ9S3N3PEyLW1v1pLCFXo9G1M3Lp 7EP36JXftmePHs6X0+uzekaHpP9UPnoXGb5IOu9pfyi9R5DK/Yv805Te/8doNRw9XcrT1guTGYIs uAq1H4//HmS47T2rKMr77VT+7+v+BOEUSPbvhirImiSS7iaJaktIDxewqYxiMFqn8kk187b31SGR 0aoObmucwDR0gJc8saHNYQMGkph+fNkuop5h7OlaJN6eHl0sDNIf2wcdcYHdmSnnb5gL9ns3mZS8 G3zXPZxvnFMjZnjOzYqFZZAqXgWtIMYp11oJSFniMadwDdDH2RTDexYvy4w3d7DV6/s7+YBgRaJa sRR4oBqlnvg7zz5tai6fMGAd55sQFVh1sFV1yTabtqov8HvRae0B80lRpFLEjoi0fGWb4Z6n+crR 5yEfIjTU9RYCrM4Syq3HExpFm976dcdo79i1wIEH6d2nzg7bH4XPURrIuMFcTiJ0/d1l+CVS9aYs TYslwSx3dSxITJXN2w3aEiGy3O9OIyK0dHcDSKzOq2UM+AMSFM2488DMk2l4mRgHIxJmpV5z4YpB ErsFFX722490npoIb/e01ya1eyNyGI6orNEsVBday4aBUhJsFLlajBKV53ah6vuH4+nctZlJlgAb x93fXQQ5qApmMt9E1FfPyzHJZJ9/ASD19gLmmSWyVehyhG2V3uVr6W0fH1XmvH3Ss57/MG1Tf7GG dxrjLDVK6xIAf/XffnsIfa/OCQBQMJyMJ2J0ZxRQ4HCspvwKoGJOWVyrgtLp1bhLAUGWbB3pLt7V TPlbN086JEQhIR64nYzWjXMD4ZNwr/z2AkdtxfWKHgXJdHrX2UQ1ixVUtfCxO1pSBAlG99PJmwTh 3fTWpbgKnSUUj++uRmZG4diDjnbDoL+31vX0sfYWOZaPB8YOE76SRmPpOluNgyCeGC+jBlB1MiOz FywlqhgE3syowcmQnblRejL5FB9t3FAtE5YRCJCmcL2Ky3KfQlphKpjSmdwlXPvoxlU08BFkNiks Jsa3KsTtwIUvXBMC+I3J/I/j2/XaaKjtIGxP0UVC0JrDVmFH8gD7k4BUXt2Ori1x7eDcvUw180B0 d2/nHT2aKLm7Hbu7pWoSJW5vzpFNbqauQ68JAlK9i0u2r2+mRgRfk8ChXF9N127EeHrruhyJup1M 3+QNaKZwCG8wJ5g/ub51HfIM5TMCu8Pj++u3tpdm99fTqTlDNicpQ6431RXK8DzgxltLDek1cjeI mK/QhueuOKKh0S3mhdJAEqsvYxxL8ITEyhfBbO23cg1ameC6NrPaXnZfH49fvORUys9ojq8Xb3aE 6PlwNM1tMzhJSTVzMTM70QYIZNdZe9tDRDHnyY+nSlBMsfPoDML6ga6e9q3THBhWr2OfT+/pqo17 eZg1k7oe8yiVrUqtULTBk4/vJjejYhVkRqEILg+NrxTQ6noyxhtNHLM8kg3N/daM0/bl6353ttL3 +qWji2sYspp65AHhCFHDauXCL/gcUwgGsgwkkcQBtZuX8pWrORw8h5DfgFl1zwo2EArqN0Zx2UNg 9Ng/9WZ0HgsUyhZ+kTPy5iwqNcVN0dF1lzFZQXIVDJSAsGylpD6FzfcrXQFDfh4aD9etgMhnq5BG xBlid8YZy+VrCGUT94dAuQpl2x/gTtOlDAetiteSpvWTmlHAk1AZRJA4r8Wc7Xen4/n4+eLNv7+U p/dL78trCaflEJ4fkRr7ztCs0zTf5gkr2b/Q7XjQp6ZiYXF8PYG+mTdfJ3EufCNoiEY+X1spGmcs r/sEe6ulICCXUpYZXGs5sHrUy/P5i3OAhTCNRC4/lEv7Eio49n4T6utAjx8gRd2//O417Yud6gZ6 fjp+AbA4YtfqLrQeBxOWj4PD+lj96nk6bh93x+ehcU68Lvuukw/hqSzPuy2kSx+PJ/pxaJIfkSra /R9sPTRBD6eQH1+3T8DaIO9OfGsHMTjQWjnWsvfs29BELmxT//mpu23iZSaLJ2FKPtYrVz9dHrlC aSdLWQLGmMcBYdajjEk08KGdRSIjbtGpKDjoZNeBSBAmAyshsJJLUqdx9SYc5rbdse4zdBeT1xke +qhBfWjuLm7Y4Wy94MpwZvCjCYYMkEwDb+6mTRaaftSPbP0KUZP3Gl0SYOix08735mmTLZmDwY8s 5VHUPn4n84312XKbi9ZJ/3zjXMke2MkRsfPJOUVNRIgOj6fj/tFcEGQq5dT9EXZNbkgUcmXI8bJT LtTpZK8eoL8mWslK+m5/+OJ6fRAZc7LiGFWvLivurbBWlfQkLWhSP5G2nTJAWvgpDWbuqpnCB6G7 ZTZ0l78YxORmfxrla/uXrJjWBZMaHFEGUMuTyU9Q4O944EMO/amfWYDuRK1VAxPYWS0chj1ZoojK NBW2oPukjU4rspau09STGqKbFgtu1/dkrKO6h4e8PwwkMU43qsfCSRHEPKPhgGprXDH4EW+I+qMr 1MecZ+ZnB7IYrYHqf/Vh9cdpcF24sICyhdMUmo+yG3LpSh81xqhFqAlwZn1WKou9obgunKUxjQSc JaWyzdxJXr3EFuZ1tTDZ6ANRCJb/a4X0bQIUQUIK63LZ+WU997bEFFyOu2BmEK3hwtQu3uS2kB8B YZ5sakOEt7uv5sNIKHT35HMH0G9grBFzKuSX+Mj9yVdNNfwhbE3B/T/lgchPTd3PCppTbbXP5evj UfW49nRMfoxl3YsCLLolAQWV3/pkbiOj8Kqnk/GYZs7+A0UD3ikKUmK0uso2fJOB2v21NY2Blkn9 n1YMa1fT363hneVTkrQF+htb17RxZPSCwY86EX94tz8f7+6m9+/NRmxJgHnwf5VdSVMjOxK+v1/h 6LnMRNDdGMx2eIfabNdzbdSCoS8OcNcDRzeGsE3MML9+lCmpSkuqYA4dtDNTUpbWlJT5KcJvn5zS B1qa0IUuRIqoF9Aa5/Ls2Mk5cXLcuV24OOfOcs7HTo52g2/wKC8EQ2TizPhsIOPzjzO+cmR8dXru 4jjr+erUVc9Xkyu3mheULxuIxFUOnWp16ch1fOJUhbHGZoleFcTUeq8WZSWSDPpUV5VwtaLkT1xZ n32Q0GgISb6gyVZFd5/2kYLjCZ3j2Bgjizy+XJUErTGLTr0AfOUccXZSIoiSOiYxkzoBZig1Za4X iZwy92o40iIKhkjYJBnMeOZFTIBKPGMWg+M2XkjEAQRZU7FCnUTWxLWtM1YI19ng1E25iKu5qU9T TykHySaLA+1aRxDAxS0F2DMMkoAj3Slc0Kh2pmZT8mONdv222xze7UiORXSnwnOwX8zmuG7gyscK jyggdIktHnDlG90BQAh9NCesSQi+iRw+EYyxCudwOM6DPcjAgChoyrhmgmlU4c6sZhstFUBBCKhr KMacSQQKNErBiqGwJiyhAVbnzj8kAzMT24grC7yI+AUJuKIzYyZItoid+L5/2Gy/v+3b3fPLz/br U/v7td1ZaHB9FXnKLXtSpX9+gXM5cGY6er9/vj8Cl6bXzfZof/93y6p48/Nosz20j9Anjh5e//6i AaE83e9+tlvYufXdRY0M2mw3h839781/JeRgtxWIaxFxrEdjIoPHvOVBp7we4iNlIGhKESFNPIce BjoL8RndUZA5HjrLCjpu3hm9u/fXw8to/bJrRy+7EW+EP/6hC4O/hqcC+mjkE5seqa48CtEW9ZNF EBdzLfjV4NiJMGqOItqipbrB6mmkYGcMPpuqOzXxXNovisKWZkQ7b/DmsUXZDMvGmp2voDsTdECS GPVhSc2m45PLtEksNcBFiyTaJeEfHV5NfEpTz9nESN+cchHTD5hvYd4efm/WX3+176M1dsdHuC96 t3phWXmWMuHc0joKAoIWaqtSRy7DyrMU8t4OT+0WYEvBby/aolYQX/LvzeFp5O33L+sNssL7w716 UiRrKKB3gLIRhtnBnK1K3slxkSd349NjyrjqhtQsrliDUm0hWPSOThVyxbvKfpWXTXU+oT2DVRlW GHkhzkWq6Dq+IZpl7rFZ8Uaeffp41QLLwd5q/cC3mzWY+jatLgmaPRSiwE6blEuil+RTGlhKsAum mfvDb/WwKTkTRHfLkjwZlUNvLpvfnjHgCrRuuuiEOcQ2OOqMGWVW+nmqrqRSTap6b7gkP1XfPLb7 g11CGZyeEA0DZOK7b29hmnZ/NktXj4/DeEp06dlwUqW+rP4ZUhu0jmlXcRqzjhkl8JdQpExD1tmH ugRInA8OGSbxwcBjEqcnQyOKx7pbRJYtRT4bn1ifCXHstmx6SlRhBSeQfu4AcBOT+6wcX1ERAIK/ LEAJaXhsXp80D7tuTrKHqocosoRWwHBheEmRrPFj2kKXEmUw0D38JF9OY8LekAwCSFd2Zi+N2P6N CtbqJGATItPbvDOSek6UFTrCSAR7in+HJBZz74cD+UF2AS+pvKEeKRcuQr0qcgCPdvyycN3Hdf2S jv3oLAsaN1Sylzk01idEzA71hwQb37X7vbYZ6KoeoAEiezFRYUkF7XJij0KAK7W7NqPOB02pH1Vt B4uX99ufL8+j7O35od0JBJIDpbSXVfEqKCjzOCz9mXTWIDhi+bA6IPK84SpGIbZAu/sQSFjl/gUB ZGUEF5bqHlYx/FfCT97gLO1PiG5WAOyQ6F6UFpcyInsuTLPHE/WGr7pLIXaW7XVh31/fFSooTs8s Gj8RMlXj62K3Z8dXqyAqa44JGVnXYsUiqC7hCukGuJCHkHhWJS5Y21UVHCFS6S+4rytLrLYhQIEh jAS/SlNxKe2h0O4O4E7ADOA9oGqM9pvHLUKejdZP7fqXhsWjQJ1AkV/WLPH+O6RgYitm8X97bZ9V gHfAxqyZNSmOVkrtgszmVxoEg+BzoAOlJumTlzwLvfKOKM3Mz0/Yfh9xP4UMfSnziXqRpftxBkXj beBUrojJ5mF3z/b8u5e3w2arQ1gWnnW52WVVA44Ea2nFLV1c2E/jLATAB6Y5E1PGQl6GsWYDBmzP wgaZ2uWD8bk+LQUrbpqRgzdYxXWz0jM4PTF+9kd5esbAYcMi8u9cVpUiQq/VKOCVS5iI382UBtie yj13ZDfRVNcceZPY51YvnVI56+eBROp3d1XOFoIOGaNPANQwsuk/MOwhM9YZpFqrD1t2+pzfVaqS s0KfEHoAVZPuPv72BzBIfx0pri98Gl0Bl4R4bWX6rPIgRkhkZo6VnjY5ham38orYCZFezRJ+7NZn PktyX/9FNEGQ/FjVniIHDzPoaNRpEWsxKmGcar/zGJAs2CaaoyZIheB8MIyKXEPCLTGwnTjLtsa9 flApZ1Skvu4228MvDAT6+dzuHwm8Og4muEryGQeBlIdaF06J6yaO6h6ySC4fVg6TXmenHp21tPnd fsV3EnDy26PoWjzZQjmt8hgeWMaJJua+56u0AXMZ8Ez7ip2WzMpGX4o/x8cnE9Vrp4wLfJXFhMdS vJm9EDP2KvpERgBssQz8PHEjyWiuDxJFHmGztOWLC7OVB6810rhKwcNaO+zXOPwxmDxTY1z45yL+ s7q0Cz0Qw20ZeQuJCKX2s0+3ip5ph6RnNJWJxaUen4ftw9vjo2YJ4KUmW5mjrDKQr0ToGOO7QKUw bb7MdJAfpLKaqPLM5ffTZw3wg8724/4Wla2UYHTDdqAQKQqH+58Qs0H6STHxpI8jE3g9BF7u+ER5 AntLuGx9WK4YcHLkj5VhBVju6AFDZIJXU6LbpFGasJ5oay85TiX4/UoDk5Cd+oYeqaJP8oeA4KKF Wpw5qubCq7xM2kjKxSCSsWz8Xv0ipu/R3ZoloXQXgRqYIqE7vQwQJ3lgdKEWw6X7a0IQE9WNgb0l dGiqclEyxsefUrigNJ4KEHU3B79Pc1ii9qPkZf3r7ZUP+vn99lFZNRIM8OtCqpQ5KZ/WTibEBTGF vVQVK0Q4y4cy4ALYRD2wJc9/NW8y/rKNOruJl6Ekq4s2GveYJX1BvZhTF0OkU6WrzeU1GWKjODrS NdpPWZAtm8xz7qtIkc0K4EwrkIo/8mK4BXKivutFmuWcxiX5mIoAogfWz4ExBOUvoqgw5lS+RYHj +W4ojP65f91sMcD4aPT8dmj/07L/tIf1t2/f/qX3LZ73DE0gBUBZfniZ3ww7cGIe8GnOSYOCTxVD QgR+mHSH+HLJOfCgxBJvqq1BVi4r2r2Ms1FZwyIVTySYhfVkowhRGWj4ytWHNmKwNDYsa4CUceDs 9N+kbsCk/fl/NKpm4uLk1n8RWisAF95kcNwXhQS8glgB+DIzvICwf2xb6+cVsQj0PHcjxFVNWBm2 T6XeV4bsCHTyjV1v6wjwg5J9eQav9tle5vAyF2EZqW2nxdqx1R2CKFyNCvyhtNg8jnTRdaVESCsv h9nrnBgV18K6LKVdKdiyUlZRWeYlm5H+4las5jyMs3fHInSCLWwW3NVqXGaWF/wblBWHr6eBPpxx Z+U306nmQ47YmiCv2eDsDxsH9apaxmBhU/lr8vIoxSFoP2sylaNCmd0QCxt2l/zdPtrJvLyuEEwc CyJF+Ew+IDBfAkbtgABnrarMK+BJQKIheAX7bOSy2uneoVE/R+NF6Abj8hpGAS9jXQQeHhMpSUTO TphNH1LMrmybI5TpWqfvcgKSBnAG4NUHegj1j+n0ALRkv1LY6ihTBD4oSekE+MyNHLFatUfMIEAI Q6gLpQ+C4SdraGrMuiW8bpjyGQDU0Q/uk0VYqw/5wNkvnmRWWqdFOpK0gPXu7R7Al3fNQj7CS1sT EMASV3mSp8zYcW6dcBcLH93lQVUd37roFQYPq8TB+YQ8UsTPmUe3JmqsLiCOZLhPGtUppVQVFNqB FD9BZ4w6pyKPOJgEP9o1lfJjwNNz68T4bDJNKKdM5DdNHBrNdisPzFQihDlMIYzCVKCE2xJ8+sJV BDpXmcnikL5d4x1qQe/JkHnjhIrmH1QhRDCrYHW9gHNreFyARIVWk3doxs96rsZTUqIl0RcRbw10 cXiikk2chUFGIwf2kra4oHYaM5Kzk+O+OuMvfgV5WTbuKKTKg8BKeoFo/Ip8oAPpbOKMZxlsC5UV 0CsTCX+lLvPGyeL/AFWWGnqoeQAA --===============5309160965509607133==--