Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1754547AbeANBBR (ORCPT + 1 other); Sat, 13 Jan 2018 20:01:17 -0500 Received: from mga04.intel.com ([192.55.52.120]:52588 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1752945AbeANBBP (ORCPT ); Sat, 13 Jan 2018 20:01:15 -0500 X-Amp-Result: UNKNOWN X-Amp-Original-Verdict: FILE UNKNOWN X-Amp-File-Uploaded: False X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.46,356,1511856000"; d="gz'50?scan'50,208,50";a="9776056" Date: Sun, 14 Jan 2018 09:01:10 +0800 From: kbuild test robot To: Arnd Bergmann Cc: kbuild-all@01.org, Michal Simek , Andrew Morton , linux-arch@vger.kernel.org, Babu Moger , linux-kernel@vger.kernel.org, Arnd Bergmann Subject: Re: [PATCH 1/2] microblaze: fix endian handling Message-ID: <201801140858.DQC0KW38%fengguang.wu@intel.com> References: <20180102114720.3408356-1-arnd@arndb.de> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="9jxsPFA5p3P2qPhR" Content-Disposition: inline In-Reply-To: <20180102114720.3408356-1-arnd@arndb.de> 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 Return-Path: --9jxsPFA5p3P2qPhR Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Arnd, I love your patch! Yet something to improve: [auto build test ERROR on linus/master] [also build test ERROR on v4.15-rc7 next-20180112] [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/Arnd-Bergmann/microblaze-fix-endian-handling/20180105-120705 config: microblaze-mmu_defconfig (attached as .config) compiler: microblaze-linux-gcc (GCC) 7.2.0 reproduce: wget https://raw.githubusercontent.com/intel/lkp-tests/master/sbin/make.cross -O ~/bin/make.cross chmod +x ~/bin/make.cross # save the attached .config to linux build tree make.cross ARCH=microblaze All errors (new ones prefixed by >>): >> arch/microblaze/lib/fastcopy.S:33:2: error: #error Microblaze LE not support ASM optimized lib func. Disable OPT_LIB_ASM. #error Microblaze LE not support ASM optimized lib func. Disable OPT_LIB_ASM. ^~~~~ vim +33 arch/microblaze/lib/fastcopy.S de93c3c1 Michal Simek 2011-01-28 @33 #error Microblaze LE not support ASM optimized lib func. Disable OPT_LIB_ASM. de93c3c1 Michal Simek 2011-01-28 34 #endif de93c3c1 Michal Simek 2011-01-28 35 :::::: The code at line 33 was first introduced by commit :::::: de93c3c119382cb888ca8a94b642dbcf8035525e microblaze: Fix ASM optimized code for LE :::::: TO: Michal Simek :::::: CC: Michal Simek --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --9jxsPFA5p3P2qPhR Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICB+nWloAAy5jb25maWcAlFxbc+O2kn7Pr1A5W1tJ1WZGki9j15YfQBCUEPFmAJRlv7A0 tiZRxSN5JTkns79+u0FSIqiGdPbUSdlGN4AG0Gh8feH8/NPPPfaxW3+f75Yv87e3H70/FqvF Zr5bvPa+Ld8W/90Ls16amZ4IpfkEzPFy9fHP5+/Ll83669v8fxe9q0+D60/93zYv173JYrNa vPX4evVt+ccHDLJcr376+SeepZEclYnkKgti9izuf8BAdSvPizKAnyINJUt7y21vtd71tovd Ty2GWBoTi5qn3Vs/spzoox61SMqRSIWSvNS5TOOMT6BjTX/OUlGGCWsPxRQfl2OmSxlno2FZ XA7bA3vZbq6I+ZuZx49CjsbmMHFD4CyWgWIGpBAxeyIYdJEcWrVhfGIU46LURZ5nqjUkriwU +TEhFFHDIrW5v/j8tvz6+fv69eNtsf38H0XKElEqEQumxedPL/bMLpq+Uj2Uj5lqbVlQyDg0 EvqImWEBnIauZoMD/rk3skrzhnvw8X448kBlE5GWWVrqJD+MJVNp4DCnsJkoXCLN/eVwf94q 07rkWZLLWNxfXLRUpWorjdCG2HTYCBZPhdIyS7Ef0VyywmTODrEiNuU40wa34/7il9V6tfh1 31c/6anMeesgqgb8yU18aM8zLWdl8lCIQtCtR12qdSYiydRTyQyc8LitjoUWoCLEMlkBN7HZ dzin3vbj6/bHdrf4ftj3RovwGHO4dOJYwZCkx9lj61SgJcwSJlNCHVHLxFSkRjdTm+X3xWZL zT5+LnPolYWSt1eUZkiRYSzIi2XJJGUMdwg0VZeofkq3eawkYCE+m/n2r94OROrNV6+97W6+ 2/bmLy/rj9VuufrjIJuRfGJNCuM8K1Ij01FbxkCHuGFcwNEAhyHlMUxP4EYaTVJxcKmzmBlQ uCNZFS96+njLQI6nEmhtWeBPuGuwk5Sy64q53V13+lsxcRRSTBwdFhHHeK0SV1KHKRUiLLUY 8QDNCCGKtQxgw9Nh66LISfXLcYvd37b5whEi0EUZmfvBl/3dUTI1k1KzSHR5LrvaqfkYZOS1 jT+cxEhlRU6fEl53nYNBpcnViGgt7BjUATzpSIMFyZXgYMdDx0Y4lHI6dI4VDT45aRBPoNvU mkcVUk8hL7McLoF8FmWUKbxl8CNhKXef1A6bhl/oFTgGiaVgIGWahUK3zH4eHf6otPHwdwLG U4KhUq3Fj4RJQPHs6KBd3W05NB/22srRUAhBozFLwWp07WplDVqtVmPaL1ZL+0QcgaIrZ58C ePnKqKDnLIyYHbrbP8tctgbMM2d1cpSyOArbdxLEazdY89lu0GOw/q39l62niYVTqUWzKa1V QpeAKSXtph+OfCz4JM9gA9BQGlgosaYJjvSUtAZrWsrOkRzaA7BksHZUNTBsJwatdhOV28ip u815RB1u+6VT9h2OKJ2H5YowtPdr3yPng/7VkWmt0We+2Hxbb77PVy+Lnvh7sYKHgMGTwPEp gAfrYHOnSXUkpX0IHFVCpMEMwJeWOumYBY7axkVA2444o95t7A+np0aiwR3uaECNlBBoZEsF Cp8l9J01gGxDZlgJmEZGktt3xtkdlUUyhoeN6D9mUwHGwXI4h2QJN1cBADOApqMUrR/HZ/AE usWnvMRrAM+DKVr4zg7G40mnBQB3yXIJy3eupkXUjwwOApFVzhToUQPjXKtmYTAIbwQHFSck M2OZ2vFABdt3JguLGPADaJo1BKilLbsxqvBsDNoAN23oyNzAfQebSc3AumhcDGWlY/QuAhD1 kalQX7bUCqABwBwRwbFJ1Lwo0keHYGecJiyvlut3QtDGZ2B0yolQqYjB6Zn9v5gbNTzt5mgD R23+rTla7NWOe9kVuiYFbkDH+lbOBM+mv32db8EF/au60++bNTijDpDbz4jctc6Lrh2zG9qo K6ofz8ZCwc5TPiNIjVbeef3QpukERx10lKk9Tb1aeGs5ghVG2bGap0iR7u1ckck9A776VtCQ pR4HUODe2fEY3IZTjk6R0QaqjgE4YEslExAWLlRYTtD8U7jQ9bnjIGSR8y7UcCfQtBwtescT IhCTESMlzWlchV4/vbfIwZMQjKaoDJDysj0G9IVBGu5GlrNjjc7nm90SoyE98+N90XqDYDIj jT2scIo4zlENBoglPfDQNw+Q0GmOTEfnxkjkiJ3jMUzJMzwJ4zRHQ9dhpg8cXccrlHoCz6Dw aC3A4lmpi+C0DOh5KanL2e3NGWkLGA8stDgzbxwmZwbSo3MbA1ZWnT0nXZw76wkDsH+GR0Tn hMEYxs3tGabWbfAeJ6p88gBoTO7DEVlPv/y5wBBTG2nJrPKn0ixrR4Hq1lAwO9cxhUcPbR1p wjVNB0KkhsXTEwU40aue9/7i5dv/7GNAsEK/pC3i5ClwMXlDCKIHKoyj08FhHNDF1O43xirt K+C6sogMn12rVBmWt/kO0W5v/Y7mpbXn8OCXYDbhhU15fdk6FKaT5tzCxbflyhqobQ+G6x1C tf3DiDUEsG8iC0N13//nrl/9r2GZIe6ctSK9/TIC4xI/3V/8vdzsFv9cX5xgRXiWaAXWHFDE 4cH1cOY8yf9NVnSYRHyWLZTTszzjR/R6DyDRwxblxUkeGAZe6fuLL58G/U+vF/VhbtYvi+0W 9n8Hr4QNZH1bzHcfG+fFAE1IclTlVLiov2qfgr+Wgq2mn8Kai/IMnstBv++Ap+dyeN2nI3LP 5WXfS4Jx+uQM90DpxljGCkNy1GORFI16BmsgHWl4Y6KCLGuHVatWuMPAvH5b3O92P4q4/1+D wfWw37/odrawq+XkCY64p5m4dimPTyFVCOY1qMvhgawf8BpqH4cp4ZLNP95sA8Ykq5s2f/0b PdXX3ks7adIstjffLHofAIRbwVU5csMGcfYIf9sgD9zIy86NTFhaAOoHICdAN6zfBFz9zp0G T0MZaH/p9DY2klONfNuhReDpO4JgQ4nhI4xRwMRdhxAjFy4kdJrrrrabC+DhgHEmuOxRZrko xziPwXXNjR3JHs2V48x3bCAAHnXsOI+ftLVspalcYerNA7elrTBTCX6DydAddAIomvLem3cm Qe8uQVcVzehV/+6m40mhN6zBm819CS4blM2F1cJykjh+cixADxlcLs/Dzsj25xyuEU0JCho1 P1vPKOMksQoOsJEoMW816YQjDntu40qlP5w+KvIyECkfJ0xNju6U+Gfx8rGbf31b2Gxlz0Z+ dq2LGoDSJAa9ficWWIcC9xqCKLCA96Q5IYwSjOG1d6JC9ViaK5mbIy1lWeHxDKpuidScOEmc G6fe27qPbS/rmroKYh3+qPM0mmxsHF6XeBSPxcbqZXJDa1JgGhH0mT4v6JVoKuyBlIdCqonu jFfFe7yjaeOJoyFRZlMvLVfST2Na0ko7zkweF5aLsNDb5R+rRzS6SOZr+EV/vL+vNzBA/UZD +5/r7Q7t9W6zfgOg23vdLP+u8K6zjfXuHmM2GEKsXt/Xy9Wu0wcz3DaKS3ba/mu5e/nz/Mxg NOD/0vCxEZTKpWKfP0wXu3+tN3/Bc3T8voLRnAhHz6sWwEmMii2iP+VkMNFf6/IeIggxFTOY RcoxZvi3DRCTY1gqeIQYhJScRjyWpzL3tEGsBgH7IzUgEU+2SGAE7IkQWKbuFsm8yopwpmlr AAx7pKDAZHiWBmx5mnuFkbk8RRyhPRNJQUffKp7SFGnq8Xn1UwqGKZtIT3qsGmFq6AuI1CI8 OQGyRBmdmcQtLdnYTxOaXrusxML33k+3x31CMst0TD8aIkG0Ak9bqt2qiy6HHclLDoTo9sUb 02kyPG+aXTlxl703zHIo9niGA6mgLOBHZfQNwtnh1wPCpQLvDQ8vgvbL07ynDR1g+cfX5cuF O3oSXvuCkaBlNz4NwgIVROxdZOBoWW5g5phpLSN6ec1AgP5szg5MQZL74AowRzI+cWlDzj3K B1iOG5qmQk+UFZTZE4xLyPZ46JkhUDIcUbjZQherBtqphqqbyMGmMUvL2/5w8ECSQ8GhNy1f zOmqKpl78gqGxfTZzobX9BQs98CJceYTSwohcD3XV141ss4qvVxOzxcCEgO3K8PaI/pM4BSZ DfzSYdtcpNPqGadPQWNJjgc1g8iAPSb+q5/ksd+0p5qecqzpldgNspKGgl4McsSX4N1puDvl Ka6Uk+jS2rIZullPpZt5Dx7iDprp7RbbuurHNQUTA9CYXhlLFAtlRrtMjO7kyQSwCCRVvpsb lRNOX16wwIIlRP6hpj9KrNbTDrzm0QgVd0A5FjUJlBBhuc33YFpXiVEYtHyfhg3DVk2WD1kQ 8DhzxTI4mqva4kaI1WLxuu3t1r2vi95ihV7ZaxVOZNwytGpB6xYEXja9Ci2zOtJwmPFRQitt MaOJ9GS38KTvaCvImYxogsjHpS/JlEb0UeYaHgpfMRsikYimxY8n4EeoTXnkvNe0kcpA0qoa xDXUYoq3nQqisacqtFlxHOK9fy9fFr1w7z4cijiXL3XzsRdaVOUSYxHn7ZIfpxnU14ydqk2Y 2iR5RKF9OPw0ZHHWjqjnqhoukiqx2RlbXtaKMj3aDGtbgD2rTGsNbpcsAUbbcziC7UeyDkYj fwROcsDIiCQGOx5tJrHltLfWCV5uGSrps/c1g5gqD6quGLC6tR4GLmKSTWktsmwMgDpvmG2h py/jU46fYHVTqcm6iX2ZZ16ggJK7+W3MnOsx7F+IZXgRkYfAqMWrVSrHGYUfqa9WIzFuGtyE dk2e5LZBwxViJNCmpPxc7cQVpXPIk1UJUd2dn6kvx/06Cdz3+WbbujMF/NFLqqJqW2dkNvPV 9q2K4sbzHx3vHGex0U6v/FUsVNEvUWQ8Ns9HkF6KikLvcFpHIW3zdOLtZDc285RbInGfSgQ1 qoDA0TYrlnxWWfI5eptv/+y9/Ll8p0Ic9pgj2vdE2u8CIOjRbWgxYPg1YACPHmVoxmUrD0dQ hyepV10d6tBvvVJ2haDdHILT/TDB3ZNSdhZj24ZdIW0rDXb3ZL/kcEp+WuansUB3Sm/sqSbz 93cMQNUnbRGDPfr5C6bDjk4+w1d3hruCbppf37AoJC6nqkwz2iBbpYyZ6azHTqgXb99+w0jb fLkCFAOstX3zKWSe8OvrgXcerNiLwA2lgbU9ZT7Oh5eT4bVfEbQ2w2v/7dPxqZPJx6eo8N8p srVKQ9yF7kaFy+1fv2Wr3zie2BGucPcg46NL7xQpYAG/YUlFl25Hj/MwVL3/rH4OezlA6++L 7+vND98xVR28O5jLk9pSBJRvEppWxCNzapzgpSlSaTxfrAAVk2aA+0V7gFIwFT/RpEkW/O40 YAqpcgqO2ty0AbRL9eD8nbaDT/B3ErZLkPGV7AxgQ/LqobNCgCiqU9PeICZMZiX4CVQVaKjq O+uA2QFIV01E/7pyi6oaS4s4xj9oz6xmwjC81qjdMr8czmhfomEOGb+7oZPaDUuRCPqONAwc AOKJ7ykatrhTh3Isiwr8lWp2+Wfoenbr30+04C0H+tBYlULfD24omvXObgd3wxa+C8Heo1/N wyktDxYqo36UwtCmry6OAIjKOI1e9zKcWbLSs+NkSzpNRCuHc7yPSCchFRBK1/OrXqvl9oWC uiy8Hl7PyjDP6KgAuAvJE14eT3CKpcbzdGJ5mcw4/VwbGSXWHaHhH9d3l0N91acfJpHyONMF xgbQN/B9DDPO8WNH+njzUN+BJ8880SSp4+Fdv09b/Yo4pK8cQAXwVXRpgOnaU4bS8ATjwZcv p1msoHd92gKME35zeU1HJkM9uLmlSYUO6rBXGWl2d3VLi4BmHPa2BEx6WVZttKi+B7idGDz6 +PFwF4ddI1plyEWOmGx7fAUqCtzQIa1aBzodaa3psRgxT+6t5kjY7Ob2y8lB7i75jMY9e4bZ 7OokB2Dj8vZunAtNHzIPvgz6R1el+pRx8c9825Or7W7z8d1+MbL9c74B2LdDZw73rfcGMLD3 Cnd/+Y6/tvfRYA6bvh2YKWAY5siPa4Llard4w0o7gC+bxZv94nrrJpsPLOhfV6iqoWkuI6J5 Cg/LcethoDHmrn1EPt+8UtN4+dfv+5I1vYMVAJZfzf9Y4B72fuGZTn7txphQvv1whyPkY0/o dVYVHHqJLCqa+IfP90S2TmyvXpqWDag/bHxzGYGIKbo29FBMhvilrvJ9M6hpn9SOFXrqbiyx Dtf7XlAaj9KvYVRo6rtTTHH0Bpd3V71fouVm8Qj//UoZhUgqgYFmeuyaCBhZU3APlnGIHh3a jj+8y9LQl2Gz7yR9zx8KFstnT3TN5kmFz4VhHJNWJG0681GglxZ0HARmg9905g//YpLCK6j9 aAr+Ngp+8SzIFLRU0F5O7a7aD8g9Ekx9eCuNfeAUwHonQVYpBgbND4bw1b3P4P7tNsuvH2i9 dFWfwjbgve8WL1gy2WJvTtGMMURrXA2ZwvuWqfISsHNbUabwognanJunfJyRZemt8VjIciOc r9DrJlvyGEnyO8n2ACPhqq4wg8vB7EynmHElYRLnozEdS7CIVEjS6WqEW5QIqDiVnlxS9bwY fW4RCXtuFz86JPeDkyS8HQwGXrCeo4b4/mGMJCxno0BUnp7gnsqj/cxwm1MjGS2W4nQ7Kk/m xG2ZiT3ymJhGvUigLw1SfFvtL6VpZCtUpphn0ZyFovOVNlgX6jPR1oiByljYuRHBFQ3WAp5g EN9TgZjO6D3iPtUycpSlNGrHwejNqD5O7aLQdkfKx3cXjBvlrDf1bWndh7OpbP9TKW3SWMTa RjQOC66aSkOrxp5ML31Pps/gQJ5GZ4SWmjtyee942DnT47FC175V5UuxpKuGD73qdOBhonhI 4w9dpCGW/ZweTyRFLJzyv0AMz8ounvlYOlm0qqVMc42l62B+E0wGdjWbGGnGnI9v9NCTzJ/O yDqY1lBjtwI9H5BfM7Q7FOxRSFIFbQzaWd/A892E6H414VI8/v2ITllD+5TOdMuZrwvabppy 1T+zY/J2eD1zDv/35EyXhKmpcD/WTaaJrwIjQcDDysATIJmMPHnPyROVK2mLATKwNHNkT+LZ VempE7E0b7gFqNcnqfrxJDl6PCOt5MpVp4m+vfVkHSoSDEvD0Il+vr29mnXroOlJs6NrmvLh 7e+eaCkQZ8MroJ65N8mTks7Gw9+DvucsI8Hi9AzwShlgocQZs26iH299e3k7PCMk/KqyNEsE eb9vL+/6rvUdTs5vaTqVoXTK7exnSGEHdh13zCbSBaPjzAez6lptkY5k2vmXHgB5jOkdeRJY 4hDJM7D6Ic5G7r/t9BCzy5knvv4Qe2HGQ+w5bZhsJtLS248sQm1LCK4ixuEdGTn7ApYUkzz0 oNAB3jFGT6mSs2+QEojInVf1FlxuT0EokkxG2zt1O7i5OzdZKjTTpFaq0DkcddO/OqPlCmsJ FTmYZglAAKf2+P8Yu5LlxnFlu39foXir7ohX3ZZkTYteQBwktDmZgKbaMFy2usrRZcvhIe6t v3+ZAEgRJBLywl0tnkMQBIFEAshBKD3/Ym8VUXTrLpInnTB+wWJ0NXZZsVl3WYo//FwQMyZA w8WFN1Z+4jH8WYNDELZecB0tg4JLC06RCqvpo4IH1IyP3MVwSOjSCF5fEk5CKulsvYFM0Q3/ 8sfZZLZUKIpDGjHCIAQ6AHHyFaBpdUYIWO6KGNSqhIzWG2mJNH3lwl32HbwKCphYGbETIhNn WMlWeVtbFsPPqlx3/MstFDSXPOhEm+gXu+NfO84h+kq1m1BdoiGML82djeeWgcwxGoqvhEur TxuI7XlPutmMJIHmB4Z7zB6yvBC2RWi4C6p9sqJEZhyG7n4ByoQzcg7qf8b+rGXFghc77pX6 WoAhSDj1dM3hcsmInca64Crd7KtVQamebVaaclDfPMWtueCgqribuVgfEt4yvRU7uFKbZKac D+Cnx8oEN1iQ4dyfMLspNEHOr8Z7Eoa2nMH87cPnMx9utipIQsBhZU9XD7RiyTMaD2GV7ys+ LFCVG/nx67kfn866eN2R+T5SbW854ARFAt2CKlFbH+137EBSEugrkRxeDYcBzdlLEjNrqIs4 6NQ0Ry0pvLBS/v0MVLFJRsZM6CmKcOu93WhVHlwpQjQOqo33DXCqpUEJy++9W4PD3VeQkDyg H74FWSwwWAWBG8m7gtE/KvG/vo8EK7rFYkKcIxWFu5KisxWkJAqeAn55e3w4DjZiWR8DKdbx +GCM9hGpHSrYw93L+/G1f0y26yhytY9CtQtdO91IP+/Np1pZdmHS2jqHnx4nYkAn1KLLLjRt W4a3odZOqwOtd+scUL2/Q0AlaLqWlpXjWbD7+5VcpLYDkqPQ87aJC4xgVUm2acnMlp8La1Yu LlBwNyCk+7ok+F8PYXvB0obU9BVlGaunw0i5jwx2j+gB8lvfTfl3dDN5Ox4H7z9qlmPK3FFn fukeDzLcgluE7puybd9MlD+/fLz3D5Fbs0Cx6R+pre9eH/6DXub8z3yAt1iVFhg72VmDFUsj p5FH8OPu9e4eR+jZMqkWUtKatbauNSx6ai9gcpSH1ufRdh3kRWMqNppM7ZqDnM/yTHt2lO4j 6iz/mlNbMtVKuNcZJvq5280FdEYdiuQ8oUfbm46xnrHrfX28+9k/ljRVV5aXQfuwzADz0eTK ebEd6NdEfrGWYy1mjCLBVf02KdDHyu5nWfaYbcBsfzuQrKw2ytfh2oWWGAI7jRqKs97RHoZm SLg/tolMFBiXZIulXSTHglhrttt2d5FSytF8TqyhW7Q03xP2F5qExq0JkxhOuddnstPzFywE rqjOoyZLx2A3RYEsGpNr/jbFtZtpCNiCZh3nBsh+0hCaDz/sMOzYJ62LrTK7Ff6bGJUGFkGQ EUpSwxhOuZgRW4SGZA60/5ZsdakLGeolGo/30z2xTW0oRgUrxMXCWElsDmm4LNyHrAaG/l4l xaVnwC8Yyxm65a9gxZMQxuiGrcJjEpFaQPCbkNjuaa4AnVsH1nY/Yr2jwxCbNlvvYFVnnQuU 48XUfTjKigINIPqjqwjSgLPBvWMKOxeLUQxozzoZwF/hjri07VqbQ92TQ6fR9Fw+CvoKLreC 2o+CapnDtIaRqOzLOmK0tT7Eq2sgE87OiHcidLQQ441o8lU09Ws0B7Txe+uGphmIFK9/Ij4N PgL0weFk7DbLbPApoSTV+N6Dp+GMcGYxMNqakDifE1bLChSEVzyCBed7dydENFNnLUQYAsAF F5PJgm4WwKdjt0Qx8GLqlnIIb7l7GjJYYTv+nfulyhcx+IZulsZN6rcn+Mw/fw2OT9+OD7ho +9OwvsB0hf5Tv3c/eIDbWORGFzLCCJ3ElS+tazYkuYFbm0NalEZburG9tclxUiLsyvEzB+xy LYs981avvBnTH0vw1B1BCcFmB9YEIgPR9QzKAUB/6mF4ZxbNxPAzXi9Vgu4xZBUky0UVOVYe OSx8XltPa3WN7pPICFsKTBjhYaw/Mrok0/4FDYUlK1+3QkpH5tYzWWHt5ovCES+shWnH0brV 8SgvvXvDVg7O8s7hfoa3apXBPZ0ivOfqX31iSjze7Cd3a2zMu8iyz2OFpJAjAUHUHahjS8Tz QKWAIXEYBZT30xkmxwlS6l00kgAK3hwk4xWhAwFjjweyRLv2A9Hh1a+H7DYtqtVt592bb1+8 nt5P96efphP0Pjn8UdMvwuiGhb7+tFMFsmQSTUd7QofEh5AjSBTEMndNWIoXhcP1XBaD+5+n +39dSw6MbjSczOc6+U3vXrOLog8eVEBZMtpRazvl7uFB+bqDNFMPfvvDeiTPAlm6gmNhF7YO OGBRhdfsdTmKgm5nbxWg88Q0pyLamfPp7uUFZjh1m0PIqftm13t9QOPeOkGKRwIoPNxRwYMU jItsGo0l/nM1dHcURanDLHhnLc0sSXmg8HQ5n8JqykOA7uDMW6RQe+5CBUM97vjfF+gjrsZl YTGBbuZp2pCIVqdrw/YzKmDwmUCYlSoCTPaLCTFVG0I8n/haRBY8GM3tz6P7WBz2X78Junih YZZyTghWUytecTwYJNz7FakMg/Fo2PddRAl34fHQ6YfEgqtu1/FwQdgYtD6NW9PWhGA8nhOu bfoduciJwFC6s5VseE24AO7cDy7yHS5+tkQMUoWqkMYeHPMhJu4pcb2jfCDQvjxlLuG2Yxje Km+F5quv9NxbGiDLd+zQCQvb5egluIpxDKoHJqIJnWUpsdjrIru79/sfD6fvHs97kceyKYb+ Si6GvdpvtUBz61fOSzT395ZvtCM/Kdz5cXQiHO/3fhIsSdPZ8GpY7UJCpYal21UkliQhjbKK jXoF1OLApKVpmh095rrhV4vAW0co2RV7timyeD1iHsPTx/tgdYKP+XzqnmmYHlGUEc7g0L+q lR0mt/7yAiOjCsGXak9Py5TT8+P920A8/ny8Pz0Plnf3/778vLMdGuE+R2nLAHNPnItr6MtO SGktVD9+vj/+8/F8rwLheEJnxKHHJDbGLFRyvrieED5wSBDjGbGNUMMjt1IK2lmgZzbCB1nd z+RoPus7jtokPFqs4iTaB1T8k4a1TgIiuA5yoDEniytiSlGEcDGZDdOdW6tVj9kXo6s9Lrzo tw7Z4oqYTbEIhCcjcsnRolBPaSjujZQanrq/TAMT4UI0PCTcwhFOgyEapHpfoeb43mHNp9cg DrDR3FOJDFSw6cBdU4Sh+CJxH54kBcDEThZi1C4X1uxvln2tgjQnbeaBcxOl1KMRns+LdE6o ZWec/oIKnxJO9aqF2X54PZnNfITZbOoZfpowJ2LiNIQF3VEUYX7tJcwXV946zheED3yDLy7c vyDCKSEup2Pf7VEWj4bL1N3/oq+4bidsCpRw9aIwhbiDMCMIKvUEhiDdcg7F1caloHcVNGFy 5Ss/mMjJ3IPfzK/odi2ziZwOaVxEgV+qC349m+4vcNIJoTwr9OYwhwFACzm0PXJrMsv95OrC rCNkWnjQgwioPF0AS16xdDye7CspQEGjJWBSjBee0ZMU8xmxMDSPSVJPF2NJyojzq0JMh1cT wvsXwAm11tYgsRZUlVIEj1DRhAUtlhRhNKRHLb43tIxnjjWMyZSWLOYpntZFwpw4bmgIC6Kd WgT/RN6QfLMpkGAuGbsHg9wlsAT09GcgoJeCv8PvkuFoNvZzknQ88YgUGYwn84WnwagNJAS3 +7lHn2El/5pnzNuSNcfXkLt0fu2ZlAEeD/1Ki6FceMh4cnWplMXCvbdQRqtNwiQVKQ3t0NT6 22WrtHq9e/mBa5DeWet2xaCBWvuH5oKKDbxS6ZZaxkahw1KDBcXgN/bx8HgaBKcmndbveDhw Tq5U7+6wNBwkj99e715/DV5hufX43AleuqbC9cGjVQa1/vm4uj9+vXs6Dr59/PMPHkZ0DbJi K4twE7sW2szl0xQvm4xWv1rXslzy2DLsgoshIcUBUtsL20g4P0vrUfAX8yQpo0Baz0MgyIsD 1JT1AJ6yVbRMuOzUB7ESo7DxfZQIjM67PBBJOICJQWrrZ/s4dTV8nKZGFKko8y0PMTesxJ+b DKNJYs5jT8ExiB2+yjAUEyfsCuvXoELRIA6dmoo0HWNXR5WeOPXED8mCG/rEEAvAtBLaeoAs RPJEtY7sBGHp994ftb2BY+mOX5iXJWF+go2cuhUfvBGTJY4oj+cYkxPyBFqZfE2eCkmCGDqf PjvGjzAMh6S/Ig4v5aBJoSXfkhifXZPvlDJZ5uQzSxZGhL6G7SEPw5FbEdAo+aruuRARtmWU s+0S7RjI1olyGF/EghjwmwMVvnhZjcOYbIFtnod57lYgEJbz6Yh8G1nCeKb7C5UiRHVTstCA lSnlCIYfe5lWq728nji9tYDQP9bE9+Cl3BCOdthLaodjkrCEdqD7rrJlF+uI2BzHttjk1c2Q Coanvj0Z2B5RAYOHWC8jnM6G7nHfyK4qCULXRNQwQUZiRiYifn5OmBqIfJO55lCM05evA9C3 QeQlkRHg52lMxfHTtbEvNjnG14G1Kb9xbpDiHa1cuEhyRUzC68WPX2+P93c/dYRwl3BVhVEO NXmh8H0Qcfc2IKJqV39LWQcqBgtXRC+Rh4KIfIU3bhI0haBK3rknt5TYwUijVHRTgJ5fNdpV SUSkx2FBEOF2NAwyQv5x+G/Gl1Rk4VIGOjeQW8tLmYlm1psjAVpu4lbKtHMfxID8mIreXePN PuSicAfL3dgn5fCzCrgrkAwiRVhu8TzZCumLQIiZMhvAKo1RnxRP3aMyyIm5YmMOMs3xNclB p326AFAUiA6Dh4zxlIhCqRJsatvP/nfYPr7CF3CNH7xNV5ssFR/bWe2ZCK/3r6e30z/vg/Wv l+Prl+3g+8fx7d1lfqGTKuAOSkFNpSDHVh01q15fJDcmFvDNppsrFTA83ymYnaYSAwsjVsuY 4PT0dHoeBMo8RClu6CZjLWKgoLUI3aPrXCCI/MmYCCRis4ZE7COLRARjbZGCMIhmV+4dmA6N 2ntt0wTqkhURaaFFRCMv+JdKA9RiUvbsLUpBuBS0KTwgwqW1SNvA/YLrHWYDdxr26C8uTh+v 944Ye3gsWOpI5NYVlRPBcqzDXHgKEsX8ijDcVqdWBbGWEmtTQJBeIKRyQ9iG1QxJbBRGTSWJ hIMp48nS1qzrCQBaedOa3P+nnedGgYPi7vtRZ5DtpPosj0+n9yNGOHUJGEzNIjHybD9EdPny 9PbdeU+Rilr29O4SUNJvQtv55jCm0YJ38PZyvH/8p8nJ0ygR7Onn6TtcFqegq18sX093D/en Jxf2+Ee6d12//bj7Cbd07zl/ok2G1pFUgGKh7A+dUJGiDX5cRu6419Ee42hSekFOZDHnxB5d Jt2qB4byJhPa7hxefeWtzkDRdwcob00opNYIgqWQ2qLKSisfuEG244o7M9EYswqeSStkCMfI PWR1dSJv+OELHRqn/U6JyqT4+KZNxC07otoojXb9r25wzxI0P9rBHu0J0dZ6NM9SNG8kzp7b LCzPzUL7HfLUiki3V7K+esCeH15Pjw9WEIUsLHMiNXBIJBvDUPBUyjbC8lw5/xNBNONi1beX iAV3huMVfUuRGBNd6+/Yjqu6l6MqtnwPzaVqjzGLqeE3rmJ3TwPsmsLKiIPCCEUT+N80tKeh VSxGFLaUnsdlPPHcGo/oOwGhvjpARS74HpYZLnuwaI9TSrfB9TWTxKmzC1iXC4uDCnGetYzJ UvSXlSDwuni7PlEWlAflY+oqV/Q3hUN9yTUxakSlPrOewvq3NODtJieCUSskIDJDoRNTLMjO FGOCOgIzqUUqh+lbcHf/w96wj0Uvc56Gwy+YVApTVODYOQ+d83gV+WI6vaJqsQljVw3CXPwZ M/lnJqlyUwEcqtQt3Ev2aNnrs1qKvx0/Hk4q131PAqAu0pEA6tJN97ysDeIpsWxnhceLuJip QDvl0CF7xcH8l4Rl5OqCmHwvbnmL16bc522FbiLAs667WUUyWVbkOkr/02uVuqG50MtuHYPW emhesmwV0TKAhR4sprFIDUYKXdM3AqRCx1CizlPXpac6PnHcF491s4JO1/5k+rcWYJ3MOwbq JIE6z4W3GybWVF/3iP2UY6L4C6CKIrONfIcveepp8oLGbrP9tRedUr2uNI88N5++ghudmCvx oNvRcpDtEKjW7BWUOwO6aRqsI3sPKoSkjslhjGxJUUe9a+04Yg+yGuw0A/7ejjq/x1agTHWl O7faMJGNGSCxI7RDAF07wCsVPKLAwBqtVKKqj3d+wlPtaut1ekumbbKysBR2fcUToEZll3WP Pm6NPY6vJpl0XrOS+KnLu4jdwPqlIs+pFWtTBIyIAavwnnbYBtVL9R6srhLbGg2OmRwKlUTY Q/xE/US6HBP2vVlQUP04yENGC3WqjyftPpyIOn39X//7+HaazyeLL8NW/lgkwGMiNVtej90H IhZp9ikSkSnHIs0J09cOyf2NOqRPPe4TFZ8TcRY6JOJT2qTPVJwwDu6QCCFikz7TBFP3ZmWH tLhMWow/UdLiMx94Qewt2qTrT9RpPqPbCZRj7PtEKlOrmOHoM9UGFt0JmAiIKGjtutD31wy6 ZWoG3X1qxuU2oTtOzaC/dc2gh1bNoD9g0x6XX4bYuLco9Ovc5HxeEZl3ati9e4swRqQFVYVQ 3GpGECWSE/l2Gkomow1hXtCQyhyUxUsPO5Q8SS48bsWii5QyioizS8Pg8F7UCWTDyTbEBrvV fJdeSm7KG04oA8jZyNgaxWpNeXN8fT7+HPy4u8cAa61TBKU08fI2TthKdDfRX14fn9//VT7F D0/Ht++uw1AdfkZt3rsUDB1tCM/zk2gbJc1sO2tWdZEQKDB6jOvWikilBNcPCqPOyWp9SPYC 6+Uv6FU1uP9xvP/3TVX7Xl9/ddVcazAY5sW19aPc9KodK7NW9K+z5mDwdCMk5gQJWnH1YlhD 6Tv/Gl6NWq8hZMkLEH4paOcptenGQlUwI4IxbbKNiNDwO13mRD5GJX/zXeZNUe/Ujdbw9KgU zQt17hFRgPtSuBBP0UHNUUKXohswz5JDvzgVo8UouHi4VBAm5GiGhOsZO62mVRRuSqgYjW2H 8vD47eP7d93d7cZRwc66KdQ6tUMi6Kw5scmNxRQ5CNWMTHKmismXf0OTuBrbtGnClo6WhqtV Ai3j+kh4dmxeO41SZPULqBFPzWDBEdxUG0FtxmjW1t0NNaiPb2AIEXJNs9Z8taY2101V1p2c qXrrDb/fIDnd//vxokfz+u75e8/vNVFe8FCShIbOXascDVXrTQYCj4nWUDWy5gxVxtvyr+Ho ypY/BcP8uGdiwTqJCy5xqy1LNtFfrWJ3t35PV30bjKbcvcts4U3xFli/TnNZwNgO+0s+fbkr C21YrVBp2HSoKAu1/PB8b6zVTRQVLtNU/N7noTv47e3l8VkFqPi/wdPH+/G/R/if4/v9H3/8 8XtfmJcSJLKM9pFnwJnj9v6YcdzZYex2mgTjM98VjDj70Vx1OuARIGW+bY4AnAxVALa55yFM 5ujpKRJozAt1gcdUDCOZREmMoVDc76keCqNIYsJgMmLKuR1MYe5egf1BKRjuQnBmgAaCKU1E UQgdqG9q35VqWpr63pQTlTFCnV9iCJ8wV8cmnDK6NnGUyghtVHknW7I2Ggg2xKykegPCroIv fg+4EafQ2M/4VDH090I0uhWePTAzSG7NzF7Sc7oJFqV6G0zGaD5AaMamxauoLFW85b+1guEk a1nu5ySgxmXBQeauuClqao03mdZhVFO0Iq7a6KpkxdrNCQ8Zw2EZK7RbgFa5UxVaF/S9IC9b aiWCOFJ7pqpNWee3tevpfFuYVmGKjH0ULbs9hPUO2sxHMKpwPZdqJuHvp7BKZKwQ69zloLIE IQBqIwwIdUaa5XZio/o6y6BnqHi8+gZCbDd0EDNeop67PC9Z55LHIDPkEFG2VxWsYjJCvKpb dY7vJXTDddoxWe/0Al1SP75SypQo741ELWQ+ntUqSB7f3jtiBke+EoCgOBFW2YpCostaoivJ 75EkSwlLZhpXcdNBYan8NJBpIEFoXE9/02v/PKReaR3tca/a886wOMtWXq8axbsBoiQ8PBRB rVPdifkUvuQyJU42FL7ZEKYrCi3xIEDigPO8K3VWoL//DRF8Wz1c4EosL9y2Abr+heflYg7q 35JYDhiGdobzfAl1XO2pY28LoPslmQTpS55K6M+Y5kTMhCgle5Ja0GVVyCRDB9Vy07PTOAsU hu4VzkU2zgLK6+BmFVprP/zt7uelWkmjLNgsBctALFbZhjhQUQzXjgaGPTe7KFa+AgBQHNmK pgmkfv/x+vj+q7V7Ulc1srME4ZgBuYJ5PAHCkeR6dWPbEoW9++F3Fa7RqatUmUQIKR0Fm5LL AxrAC2UnB4P2/xu7vt7GUSD+fp8i2k/Qpu1u+3AP2CaNd+3YBbtp8mJlu9Em0rWpklSn+/bH gLHBzDgrVYrK/AwYwzAM84eQBy12lIhrQeAD6aC+C9XTWlvNlysjy7OBtUQAo3YXmJGAAdc9 w2PQE4rZQvv3dBM1Dal/f/nS3+irYe2CCMfH/z7Oh8nr4bidHI6T3fafj+2x/3YGDNE8WemE mveKp2E5ZwlaGELVXhmn5dyVi4aU8CFgWmhhCBWuUVVfhgI7dWLQdbInjOr9j7JE0BAVGmla evnG2tKEuMM1VB4nmE6tpZpUuWGv2vIp0hxMuIsVNkkqtQCnT4VILY+z6+l9XmMGci0CeFHQ LygMxwXsC55qXnOkIf2Dc2Xb5csQVldzxWfGIEP+buxIP8+7rZKcXjeQ5p6/v8IigrhW/+7P uwk7nQ6ve01KNudNsJjiOMdGLiby6bUPzZn6m16VRba6vvFj8PhIyZ/S52AsuXo6XSjCW2sV rh0G3g6/XFd021YUB8/HlcC+Aqqt7JqMkEcygedwaMmlanyM/kJIy3bZ8dVS+BLTXybDymlH va2X4c4yE1MYtH6hd8+DRG9GN7n/rcRrzwnHzuH4hoi34CIuAKrrqyTFxSw7tWiDkHbQL06q PLkNmUlyhwyRErLnjGcNFSDL8rw8ofyXHQRhQdAjpkRA+R5xQwSTsqtlzrA0oz1VtYC8pSLc EV6tPYJIGt/SCS9jy3cexfXDaAPLctADM8P2HzvP96fbfTF2rUopRw2LWNRROrLIlbh5i1Qc 6bTB47MuZpBtm3Cr7zCyIry9esBXunsJ+toz/TvKR+ZszUb3DskyycbnluXZo9VwIo9ORxcl 5cbebVGjQ1gti+GX6K5Bj9vTyURACaQPPssoh2vLydf4BUBLvr8dnb7ZmnAc7MhzxJNq8/7r 8DZZfL793B6N35YN4RJOXAmJYAXuatm+pIh0hM864G2aQmwChnaBpWpQjBvS9Yig3e9pVXHB wZunXBFSmtbnXGq/A8pWQv0jsCDuF4Y4kOXpN4O+NX5KFEtZYuPJn5t5Ols03x6I6F4OECLf x4zl3Wc20fSx2zUmVzkETzDne+3C7vhp9cSyjrIWI+vIh73cXT00MRegWYZbfcjSIF3BuvwR y2+dYUJH7Q+7mm7UCJw48aWPcCosuXH1eObCNDZQF5g5vj2ewf9PSZcnnZXxtP/9vjl/HltL Bs9gw5jlNpWoZXuOFp6PSUiXcE7sO2bo/KUSzB0E6phcQIq31bA9HG2qjjIdAkJWo+AoXUC9 obLMXAKGIZu65yrBwU98kO/e6lR6OjJ7RJultB8u6xgHSZDrKnVtQzufOQjvXeR+DiQloymZ PyXC0ygqEQscnhsV7uImreoG04xruXHQh5spqvr0AWoh8Gh1jzxqKBTP1hAmlvSWAQhK2aeo ZMW4NVyWRqPSc3yPMYQ6SSv7rTy3Z03Qc8LkbRoNbWCuHseHcw3hwBQLhD3UbellrbgVXq0h NVH8HeVlsohT4/LAhGAr96ZIwpzj+bBIZ5Mxc9EpT3JP2QD3A4uiKIfOaR5Ax1zA7QqSJ2eF LDKwHQ+XhdW9O/tBtm4q35oFLreIEU8S8soKzi6YtiEvUy/1hPpnljianSKFYKePivUIb5+V cOtPBQqT4ItaEE5tNjaMAumzNtIpafT5XnvmKgGbSv8DdxO1govRAAA= --9jxsPFA5p3P2qPhR--