Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1751204AbdL3TFc (ORCPT ); Sat, 30 Dec 2017 14:05:32 -0500 Received: from mga14.intel.com ([192.55.52.115]:29936 "EHLO mga14.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1750895AbdL3TF3 (ORCPT ); Sat, 30 Dec 2017 14:05:29 -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="5.45,482,1508828400"; d="gz'50?scan'50,208,50";a="22701673" Date: Sun, 31 Dec 2017 03:04:37 +0800 From: kbuild test robot To: Jacopo Mondi Cc: kbuild-all@01.org, laurent.pinchart@ideasonboard.com, magnus.damm@gmail.com, geert@glider.be, mchehab@kernel.org, hverkuil@xs4all.nl, robh+dt@kernel.org, mark.rutland@arm.com, Jacopo Mondi , linux-renesas-soc@vger.kernel.org, linux-media@vger.kernel.org, linux-sh@vger.kernel.org, devicetree@vger.kernel.org, linux-kernel@vger.kernel.org Subject: Re: [PATCH v2 5/9] arch: sh: migor: Use new renesas-ceu camera driver Message-ID: <201712310222.63vseOBF%fengguang.wu@intel.com> References: <1514469681-15602-6-git-send-email-jacopo+renesas@jmondi.org> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="envbJBWh7q8WU6mo" Content-Disposition: inline In-Reply-To: <1514469681-15602-6-git-send-email-jacopo+renesas@jmondi.org> 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 Content-Length: 20547 Lines: 309 --envbJBWh7q8WU6mo Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Jacopo, Thank you for the patch! Yet something to improve: [auto build test ERROR on linuxtv-media/master] [also build test ERROR on v4.15-rc5 next-20171222] [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/Jacopo-Mondi/Renesas-Capture-Engine-Unit-CEU-V4L2-driver/20171230-212202 base: git://linuxtv.org/media_tree.git master config: sh-migor_defconfig (attached as .config) compiler: sh4-linux-gnu-gcc (Debian 7.2.0-11) 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=sh Note: the linux-review/Jacopo-Mondi/Renesas-Capture-Engine-Unit-CEU-V4L2-driver/20171230-212202 HEAD 71df4d9132d9f8a1821abcec32c12adba1892c50 builds fine. It only hurts bisectibility. All errors (new ones prefixed by >>): >> arch/sh/boards/mach-migor/setup.c:403:3: error: 'struct ov772x_camera_info' has no member named 'xclk_rate' .xclk_rate = 10000000, ^~~~~~~~~ vim +403 arch/sh/boards/mach-migor/setup.c 401 402 static struct ov772x_camera_info ov7725_info = { > 403 .xclk_rate = 10000000, 404 }; 405 --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --envbJBWh7q8WU6mo Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICBjfR1oAAy5jb25maWcAlDxrb+O2st/7K4T04qIFuk3iPHaDi3ygKMrisV4RKcfJF8Hr eHeNzdo5ttPT/fdnhpIsUiJd3wLdRJzhe94zzK+//OqR9/3mx3y/WsxfX396X5fr5Xa+X754 X1avy//zgsxLM+mxgMs/ATlerd//Pt99867/vLz58+LDdnHlTZbb9fLVo5v1l9XXd+i82qx/ +fUXmqUhH1eizFkR3f80v69G0PKrZ7TdXnurnbfe7L3dct+ik4JGVcDC+vP+bL5dfIP5zxdq th38+vdV9bL8Un+ftd2KR8GSasxSVnBaiZyncUYn3SpaiF+Oh43RI+PjSHYAtQhRipylQZVn QnA/Zj1wxH1WpETyLLWgiCeBu8yzQooqKsdMxn4oHPC0TIgGkoROZEEoazE6GG4qYLkGOJxp vSgiKh5n41FVXo3003WiWS8hzSqe4QRVQvJu9iAhAEppFrGCpdqyUsYCBQV0XL9kPZioO8cs HUuNNvKxJHBs0D5lsbi/OkzU3n8VcyHvz85fV5/Pf2xe3l+Xu/P/KVOSsKpgMSOCnf/ZowRe PFSPWYF3D0T5qzdWBP6K23t/68jUL7IJSyu4PJFoW+QplxVLp3BOOHnC5f3VqAXSAu65olmS c7jrs7PuVJu2SjIhLecJ10biKSsEEAv2szRXpJRZt46ITFk1AQJjcTV+5rkd4gNkZAfFzzpN 6ZDZs6uHNr859WGf+rxW8tJmPwafPR/vnVkOEYiClLGsokxIpID7s9/Wm/Xy98NxikedWIHD pjyngwb8SWWs7wrYl8+q5KFkJbNMXF97wpKseKqIBPaM9N6lYDH37cxWghi1jKiOXXGiwsAV kThuKRYo2Nu9f9793O2XPzqKTchT3VHkpBAMCX0oypD6RZQ9ahQNLUGWEJ7qi+5a4VxBKFoW iShhVlBgXxkVjAQ81WSnsYjDsPoy1LihsIzcYlEUZ8D6qRTt3uXqx3K7s20/eq5AafAs4FSf EUQVQHgQM+sNKLAVEoHIByEiKskTYEEdR62E5uW5nO++e3tYkjdfv3i7/Xy/8+aLxeZ9vV+t v3Zrk5xOKuhQEUqzMpX1SR2m8gVokSKjDMgIMKR1PZKICYpO24Hh0FxksdI27VEVtPTE8Jxg 8qcKYPoC4LNiMzg+GzGKGlnvLnr91dpwFOvKcXRYeRyjGEyy1IlUqwI2pj6KdctS/JLHQeXz dKTxLZ80tsCgRR2qrhxxhBDon4fy/vL6oGUKnspJJUjI+jhXfZIUNII1UtN4UJz6SFKpNHU1 JQWv1RbKby6f9KOi4yIrc9sloswCrgEq6EYuUftr3yif1LcuXQposoyX88DomzLZ61tvBhWL WpT1XkD2hAJ4NS8YBb0d2C+PxeTJdl/xBLpOldYsAlOLFiSBgUVWggTRdF4R9PQZNPTUGLSY 2gsadKWl4Fnv+7r7prTKcuBq/sxQgKHYgB8JSSkzbqqHJuAXG3u06qIlBrCAYINZoN+jkssl Dy5vuzY/D/XpnPzX65aAjuN465qsBfMxARasOkVh3F7XrF8rrLqFWGYNI5IGusVaK8FaGGqt inf631WacG2juk3N4hDEQKEN7IOVVoWlvuywlGzW+wR67p1n3UyTfEYjfYY8M46Aj1MShxr1 qT3oDUrF6A0iAm2uXSnXqIkEUw4Lbk5OOwro4pOi4OpmOiqKGJ3kGZwKKhMJO7cc9gRHekoM 5mzbKuKDZIetIp2CoD/SvT5KZEbJpwYtA63Z7tqQIsp6Cu0MDltjQWByv34VyELVQVO3tICN MHI1TWDezFDLOb28uB7o1MZzzJfbL5vtj/l6sfTYX8s1aFUC+pWiXgXt3+ky67TTpG6qlKo1 qBXNcCLBttcoVsTENzgjLn0bmwMaXHExZq2haXYCaFgwhoqrKoB1ssQuKyS4oQGRoCVAn4Sc tiq701ghjw1LKqvbWI/6teaOZqDNZ8Juz2Cn22sf/BdQSuMUJT9Fk8N1p81gfWegYNIKMFi+ M2CVoxplmcXXBsdKGWaN+WgxVhGI3AxGgSz7Pk7BxsAc4IArh7jZTEUGYoLGk14LupqAV1ug PVj0COTBSM2yPVjCZ3BqHVioNfT9/uYwantiIJ06WwF1eW0kt55fb9203hmctmQUJEdPOZlA m1XYx0HnvK/iehiwoTImhZWChthCFllq8w1kBI4DbhXkkC4is6CMwaRGoYCKAEWVvp6ObCIi IusiuCCgUNQ9W+bNwDwEgd+EZjQeqtsJNbkN7WbwAFgIjMhRZIShsK9n2kQu6MQdNUFrIQNd 07qpxePs/4XcCpbjcRk4c07lSXNo6PXJO9ELDKiUeAClqSHqEAnNph8+z3fLF+97LaHftpsv q9fax+mcO0Br1uUK3OGKFFojvCrDWlHH3TI/MukwkoQhJ1T7OlUprSdQx9xf9ChNv8zmCJTL CqY5sWu6BqtMj2E0DGsXtM0I4CMdQjcOrdti8vExMCqtoienO8+r4AksFhgqqCZoA1hOvuU6 CfoJNp5NdFHqm65M7Ack1KFgVFLBgUAeSjBfDJuiMe59YV++BnfFPzr/QLJxAZ7SUaxnkF72 K0EMmgSgN1ktUu0CDNEefatjqaYAbVCZAkDtH442y8mQLfL5dr/C4LYnf74tdzorwCIkV6Ff MBfRsbBZTokIMtGhavZoyI3mOuqTeWLxbYkxTt0E4lntxaVZpocpm9YA9CqeyhBCQyMw0wbP 2g5H4muOnriAI72aee/PFl/+fXD2kocjK9WAkyfftKpbgB8+2ESNSC91Z1PRBcb8FVuDrWCE xho4miAN/BjM2vcRaJe5OutAszcajM9qY+qGhYrUeHsgpu5+UUWJ6NrUWdBAhi1xFYi83zzT HOc6bRElmW+Yk4iIgjlPjKCO6l/68imHw4s+3l7e2a0CDe1f9qBvb6TRxeVpaFenod2ehHZ7 2mhmvsON9s+HkczscrE31MeLm9PQTtrmx4uPp6F9Og3tn7eJaJcXp6GdRB5wo6ehnURFH29O Gu3i7tTRHLbxAM+urwd4J057edq0t6ds9roaXZx4EyfxzMfRSTzz8eo0tJvTKPg0fgYSPgnt 04lop/Hqp1N4dXbSBq6uDTTXDYyOSO6rW2M5Stckyx+b7U/vx3w9/7r8sVzvvc0bmjKaZfFQ cjpR+dVOJSdaJiAnY1Zl4DExeX/x96eL+r+DblNmdkJmymzLigD03OWlFivDZBk4VAV2vliY nVswf2YIvTahozufa4uajWTsa+GfQRDUTJ+ryGwb3zc1ozIdYe6KpWSY0O/AXQDIgLOYoadV rx2Mbhb3MOphW4wok3lc9kMDA5wCfpsaBhy0gDMaYjBCyxSklCiTCGC5ET9S94RHWV1PjEhX B/g0sdvnHcbt9cQaFTu25+7AEpKWxAbRsxO4doxt57B9W/i8mQR9IcMl7KbB9Binw249H8do VlOZZQx1iQkHKioCvbsZFvCzTOKkPA0zNYjdhzPu2naCecxllUu1FmBccX/IS6loZS9ikfBx 0YYMu2uKngQ4GkFRyTrCZ8suFTVDA8134UJhC1K2FnuCVJZgHAdGvr++uLvthRcwigVeZZSr zLptTrzTnBVKIE0SQ0TFjNQUaz22sMhg7N6oXWdH8cBznmV2T/vZL+2e47OoY9P2WJOKPyIP YBRzwlO7QVfH5atBcrYLjJR55bOURgkpJgNRTOfg1nkLe7WUOqLahfCJSYUaSEZFVo7tAbMa DeT00H/dbhbL3W6z9b4s5/v37XJnuh1AmBIOgKUBJ2lfv/jopyqIPW0YVSFgscSWrwBg7ano 6Co3UqkaC1eKW5UlpZJN5dB5EUVV+MPmeh61XX8z3754u/e3t812rzvruBw25ZSpCIlrO6hk K5WJQbeepWO7lwyYwKOZnp1rWqqH6Zj0Nl0DCkmqRwAObkhVO6jagsXrZvHdRSQwEMUISD5u 94p5onC7/Pf7cr346e0W8yZWdxRo3C/4pg+D9QTAeI4DTIarp5sfb/M1xkfot9Xbrp2evLyo qMn81RPvb8tt5AXLv1aLpRdsV3/VsY1O0jIwEHxG7DFRkJZAN49c0mgweZNK0ii7G/S5ury4 sNwdAEY3F4akf66uLuymYT2KfZh7GEY7HqWXowKrQKxDTdiM2SUQLQgebpnYxCuKfQ6mjtOM EoyiDtGzS4wluRzkAdr2KZB3CoPZ43ANlmUl41LoxWSPvcRcHd2o7/rcE9GHZPN59dpeuJf1 LU/YMrA5PUS+MOu3fX/bI/3vt5vXV+jUmauduIY+KpPJMRlul+iI0lhIw8KmRkxsLMbwMyuy nsWLJ32pnTYaBCAz04mO8sm4EDgPMAacI7QhTLD3CiXXDaHbANlMgty1Scga4f4MTmm3eV3e 7/c/LzztQ9CLPy4vb0ZAtMv59vXn23a13n+/3y23K+DF1ds9cOoWdn9//rL863z9ZYdtL98W b2fNybzvtIOpBcJyt/q6fpxvl15OOXA8/CIOAqLWMtDO1i9vG5jMCJFSjgpEJdLs5EbRABvc D/t7uXjfzz8D/WBFsqcyxXvtqnywyBKJ+SWj6sAsOsAvxVcHcwfzUSBuAiNh3IwlaMFzOTAB SVbal950S8CGtF0UzI1Tt/Sdb/4DBD10xbzfVE0IT4BsSPy7XkLdS2+1pchdQLFbaFeGbBMh YDTHjBm6GNqwJEi12y8mAdNvwtBitdYdJb3RXAWEAKpzswfkx4cqzx7BYOwycpac2EGJ8ZfX ZV9vOSv9lMmKFqk44GGFAHgbNmZKmWyvJ13u/7PZfgcdORQLYJ9PmEEYdQu4D8S25TLlMx0b vwe4XXIntp3vLCyME8ZvJfasYyioKH3Mo3NqF+wKp/Ys7GdXD4LelQAlZjdysbxswmxVYDw1 j4jntaNHibCzDyC0aZMKDFvJbNltQMpTPeWhvqsgonlvMmxG4Wyn5gahIIUdjvviOT8GHKMs AVPXnlutcSpZpr3EaGcgPKVAitmEO0o36hGmkjuhZXB0AkQJM3t1Jt5ORRzJdoQx4Ti4ello YbjhinKOrEwhDeGDITC0gF5YKswHD30MNZIT7DPW74vM12uSNG+bzXXiKTuZVWEU5PEfMBAK xIKVE3ZmxNnh1/GxzOEBh5a+HvBodVkLB1vg/fNqcWaOngQ3rpQzUJk9dAlLx0cTaFL2nViD ynIJM8dECB7at9cOBMarKsQDqZLkLs8akEMeS4doA6YKKHVytaAOji8CRy4diNmuOmRibY9H jhn8ggdjm3dYFwchGQjDFWyarINNY5JWny5Glw9WcMAo9LavL6b2OD/PHVUjYGfY73Y2ske+ Y5I7QodR5loWZ4zhfm7s+QA8C+Uy2bdL7fMFKVZjgX8+dSX/4RaJysdbwRkYUNOhL9ndgsC3 CI4ADyxZGf5O1k/y2C3aU0epUyTsO1EHpFYaMPtmECO+AkdHAO9Ux7BSKmx1VEqWzbDQ6qky y2n9h7hnGHn75W7fiyAoUTCRY2aPDkUkKUjAMyuQOkJKvqMwKoSVFi7ODasJtTMvSGBGEku5 SGuLcnxBJoxyEBqOkXAvLegtSFXKQFdVd4z2CxsHelyqRcMSuLaGC1HQdjLmirk/mKs+4nYR 6+XyZeftN97npbdco0f0gt6QlxCqEPSnQXUL2nCqtE4lZur0imZ9g9/sKA8LJ9xRw4Q3fecI 0xIe2gEsjypXTVAa2q8yF6AoXK940BIJ7bD48Yj5EQhZDaLQDWwMHj9ldYm3KajZFLnd0gWf YOHFNhgtowziW93Dw9XCGQUp6yrmiMW5XuxvNAP5yuj+7Hz3ebU+/7bZv72+f9W0PaxDJrn1 jRVQQhqQONMrbvKiHjvkRfJIgIbVexutXuVR1c3pqzmg8rQhZ83pnoHBdsAw3kMeRqrfrzSb CUkc+70Sy5aR4zh7VFVgmvfcaW4wIyoCZjStgoJP8VywRNlhbIsqeoLpplxkdgF7eH8GfmId GbadILCtkTaqvys+MgrdsYxRRLD/AN8VhaaoOYRVXhSFGNEs+JG6KnsTGRiVjTJQR+CoR5Qo hQIVnsKqMmuJIOBoBXRS9Icnxcdh514V3Nt8u9Pou4QPL6kf5ar6fbmdr3evKnbtxfOfRhkb zuHHEzhtvVxYNfaSb6F0CCIXgDshRRg4hxMiDOyCSCTOTrjgLMvd9+BMaSHwUPKnsrhCWmil IMl5kSXn4et8981bfFu9eS8HqaLfZcj7N/gvBpbigC00BKD6mm36PWEwNJuakmUX+SDt+wSM oEceyKi6NK+xBx0dhV73V9CD22uXbIuwOzMWTPM1fG/zvLcZ1TayHRO3m7QHsHvlCpxKMDlm tgj74R4SUFkD5kcICHRypGMpedzvBtTklhiZG0Z8zMAPiDOZv71hlKyhSGWLKBKdLzDPqAs3 taoM9fmsDce76AqzHLWcNZmlbm6e9Lh5Kiayt806G7F8/fIB0wnz1RrMJkBtZLDGTybnxsdO K4+OQeH/Y2Al4ka4hP4qg9Xu+4ds/QHzZ0eyZDhIkNGxrVIIYSm+kmGU9s+wbQeRZotTtyjO br7DV1LnlRx77XsYZpw7vIADRqY4lUa1MXIcN+BikqU0ckTrOjw4LDenKhT8R3BbfcQBBWkL H45azwcT4DE9pidShoiDO4/zICi8/61/jrwc3JcfdbGWgzLrDs57yHmVOuwchJe+PaqYhZat qxh6gn8LpXn2p14w9f/SSNNk6d9U8tteEaRlHOOH3fVrkCjYgEeoqkWLe6XoA4Sg8N0PCdRq fFvYrYUCM5tPJJrG+sXh/eWtDaa8LbOKhgYgZdFPpsHUvh58KIjZwIpJO6sdZvCHlJROE6Zl 4zpLCdorh5elYJIUY2aR76vdwmapgjIAS1rg32K5iqcXI8dWgpvRzawK8swurcGmT56wPt5u xFFxdzUS147ScZbSOBMlut1o2FNHIJ3kgbgDT5g4ojFcxKO7C0fdeQ10FCe3ZyAB6cZRctzi +NGlqyy1RVELvbuwe+NRQm+vbuyRvUBc3n6yg0rhN2GjKhTk7tpR8ipcqoqO+lxd52NZjraC pSykhgANO+qDG3jMxsSRmGowEjK7/fTRHoBsUO6u6Mxu7DUIYOVVn+6inInZYAty+fd85/H1 br99/6GeG+++zbdgFuzRY8Ftea9gJngvwACrN/xV36ZE2+vobSJjoF9op0mMbxM03/LhEyMs fXj1Ek5BIWyXr+rvcO3M/HqHgo5kbR20MEF5aGmegngctnYDRZvd3gmkWEVlmcaJv3k71JmJ PewA7MRDpvs3monk935kBNd3GK67SBo5AoazWL0BdAJJWLZxAZdzhmi9iFSzNcFby7A7+PZ+ 8WVckhkGUkF4gH8EqLAGXaCDlrXH7kFi1oRhWxNOttOUmvPBlhfXMfAvn9Rv2bptNOtXD4y8 34CYv//h7edvyz88GnwAHtEqDFq1Ioy90aioW+3k3oIz4UA4jOp4zNAO73g304IdVqfaN/yO kS1HKEShxNl47Eo4KQRBMU+A0SQ7OchWKphaUHUFa2tw+SZKSP8Jg6t//wFJEHEKCtA0/DiC U+RHqRVO61H99TUjGfpfxq6kuXGbad+/X+HKKal65x0tliwd5gCRlISYmwlQy1xUHluTUcW2 XF4qb/791w0uAshuSodMLPQDECCBRqPRi6Fo7urNUI26yYQf4R+ez9XSo6WFYm00DUca5I55 kCjfRJmRgtagFeIrileUFA/ltMBMd7aQl4xmkngUrOZSiWibcVt8IC7rOmJxEvvcJDWSEr3X 3eUiBDmTvzfSAXcQFR5eNJK01YajQC3FmC7C03AxJrzKHi+W2I6asA/wW2fwBzMgndO9gvLd yrxVE5mN6cGKk6njsHHAKJY53macBIJHd8uCk/rH2+HHJ27Q6p/Dx8OvK/H28OvwsX9A+9O2 lg4ejupy7U6DVRD7SQYygfDQ/s8NJFdKCloxs6yuHYnvts+ATYIJEsOioImZGznNouRZklHa JfOShR80QifBtKC8RawWZ1kifDjKOXP+mpYT/cZFcru14Due+clBLXOxDiRJMuo2mjKBo8qG JEUiA27oqtJWEXeXGeE0FLsZpUewG4UWRZw4pmFRuFHrFk+xyfP1mVall7mM+1ZNJqM+1KWM bayasYBJFtFvDf7MkjiJApI6GU4dA2qxmUxuprRkrnQsad4BiyOhNFLWg5DToSrAftgdFOwC mHxko1l0dh5lQRzAdtkw0m/wCaIamgZk5PtQIlK5G+1PbRaz4HyjKgju6CaTUGRz+I/+AipS dlDLyJv2nXllSvr0yRLrNonEEzTOrMRpVEfw2s8PasWwnrX83jASLEp261Gfsb+vAUPSCN/u 7zYGsd+9XffX3m4TLri5ggu6vPrj6bOclm3S5Za73E5TJspe6KoszZ6Cx7Av74fH/RUc3Wvp HVH7/WN514+Uyg5DPN6/fuzf2ueUdSis7QB/1Yzdj3Rwy9C0u/voJWvJ61aLbK5qkyymT1A9 EBwTmtTg1E1Spty7DYwASzqk2RVPjJwiBj5IjtybyUR5u0/RAtymOaJ9/LMJtpOtXa4Z/Pet LxRNMjt8EMeiOvsFxjTkan1A647f29bMf6AJyft+f/Xxq0IRmuY1IwFK5bdlJfny+vnBHptl nOauQTAW7OZz9JYMuUg3BQjFQs6eqUAU7qC3EXPRWoAioTO5aYLqa+sndLk6oNvJz/uGsrOs n2DEnc5+/JlsGwCHHKwaivCqmPJJKd5n6wLIqXkbbGeJyJwDe1UG6zwdjSb07WMDREd8OIH0 LaM7ryF3ut9j9JsWZtBnghXUGL+0qcvGjNt9jQxvz3aKvWhyEGZ+MZaHNVB7YnzNXC3boMl1 /8wbL6bhmbFFk+GQ1khb7WxuhqMzXy5iDPdPgDTrM0E1akwcrDVz+1Jj0JQS5dYzjytFozMg nazFWtDH3RMqj2/JG5sTYmkM7DxydWzYOW2t9u6lrljnvgJi4thT0mdJTnJvqUBcD6yN2ipE fR6Gh5VuSDMbIfwbkLTp87ANw+15F21oDZ2DzGE5yI0nmcO3BZ3lg36vT09SG+dtJ56OFn0m XowL1Vql/Pmnjb2+DOxvYwFv8yxuKaJULeUFLQYB45nhgBZwqN/g9ZQUtNbDQW+8YY8RfG3c PP9TakU7dti4RZL4DKNxxix9zunLhslQwvc+35waq+3NmOYoTu/y+PsFr/lWzwf9AR0dxgFy 2ioXdH4KrAUeKNeTHnPr2MZylzw2Eph1vz+5oElg2KNLJkEUqX6fVp04sCCcC7WLZHoB1vw4 PxHiYMNsq05rt1zoJ4fFBXGE9+fnP50PwqIebdyIWNRzS0d8shXzd4a2DGcfaP5ey/OT6kJ2 ufb15GazuWi24K0t2jglSjLOea2eSpCtzvNirTzDjc5/PkAOer3zk6bAnV+f6BHGeODYzEOG AROB04Wpi96j0v0Bk/LGgW0mY8YvxRlqqsaj3s15Fvg90OMBE0bLwZl4SedfXbKMit2WabMU WBqOx5YOTLa3yULZcP/2+A/6ccuvyVX7coudKAsRBaRdgPfr/u3+AfURJ5ORakQmJUL5wwnm UVwYFI5+RTYLO7C3rgBUWe3IXCkB1iT6VIxe2m7OEvTGnU52qd5aTy3ME9jC0uZnMBq7b0uE GGWhsLLP6GkMG5+iL2PK7E60kwGcG4vISSdlVrC6haLWJ1CFZz9xmi97OBm4piqF2dDx5Ysh lIEBjNaJivpRtJGLTIcN3uQiMEiHZ99728UYmCg3Fuf9Hg04fcXmo0tAILJw65H+7SXQ9f23 Crsa97x4w2jrKkR/LBUw8i5QeWnzpxYLHOYF0LOwjLFLL8hzFe7CtNmIi4k8nYXmwEsM3MTs ZVSbMo3krsgMQd6qrsvY9442riosEi/IpDFVT8xpOGWibxq3WmPAQS8XD/5L2/Mf94W29snJ HTPwduYMiFG83OLCsNjR0GDpEsCc3gfoDSdwi1L6uJRpvOr+1XwXDXKapj3Y/yIo7A90Eint qn9/Pr5/PP17tX/+sX9ERfDXEvUFVi4aXP/hKKyw1xgxndWAIMIP0F/NePJUF+IsNoiCFeNX CtTOxyS8XgDJqSfOPz7dCAwewrxm9G2r4ts61ZSMNHNVjeQNZl1om4YF/4MdDEMVAearivAj 3ZdqdoKtmu4V1q+7kBUtEaVFonbAyFsPTD5+Qdunp1kfvvkkpXP6lsEQQ7FidBbmc2Osa/a8 fIKIcNE1aRDC8QqV0qdiBTyEJCwVXZ6mhNeRTsuYWMTOhE7o/dFkUuRpan/TQiFeXtOgqpd1 Src04/ensFXmwe//tcKAyBg5quVJJ2PgBM5v/OtUULmYnQin3heNoasH/TpKeuSlg6FiAvlW ILXpj3oUS6oBy10699yensqrPaJBREoddrSknZJfeLnSwO2NPtVK5oi/4YXbQzWQlpHQ/zkB Sl9fgcMZpkIsA9OAv+ac0A25ftVdjMUgo9lkrBihvgDAdMrbVwbIp00P9/97helE9bFLAV80 jSpc5rB/Agw6OgfMczoadgLmk1HX8HQqvcGk3xYJo7nfMcA1rcooIvmIFXNJaqgYy5OJ/mTo mMc0pJW/yzXnBoCWNRGjZFsLdJtPyEicamYnai0k6OPL4eH9Sh2eDg/Hl6vZ/cPfr0/3rv0v 1CNam3mRsJur4TOPCJUXfT59HH5+vjwY58gOT6S532ESAkShhjd95ntEsAjMPGRs2E19oQeT m173Q2AIo2mPkXsNwJ+ObvrRmpaTzHM26aDHa0BMX30x7THzGZtA8mjANlFD6LujijymJZma TB+zS3KfsfRHcuT1h5sOJc9So6ygpEc/AclQNeVcnuAJt0HURZ5M0mjCcJQTnX87hj5m1Lxm hGLTvx7d0AqfEnBzM57yr9AAJtedgMmUUSnVdCY0SU2fnqk/Zbwyka7Hw67qQTwf9GcRPwOz QNPaeSQCQx7BDOOHn+lRr4vsjfRowtNV4HUvZCWvb8abM5hoxOiqDfV2O4FJwC8iNCkiiWK2 GfXOMBoM5c15EAJZoz/scDjaoOpRMO7aCAzT4bRjloXp5IbZm8vHhFHHVxRhxJhYo5qw3xsx akKjQ+SuwroUjKZTBsAEmj8Bpvz6x2HBwDs4rGliMj4DmDJDsADdXBpAwKeGzIXIOrzuDTvm CQDGveszE2kd9gc3w25MGA1HHYtNR5yNJ25nmfyexKJzmOtoct3BjoE87PPbRQUZ9c5BplNG iWJSu2nGFzRrs4qqWbSFsjLKnwSW5/3j4f7qAYN+Eqewop4nIuPeVFSn+22AIhaYfFevLsD6 ciG1CC8Dm0hDF+CUn12A8oCndqFW0g8SEy6B914oMCaAPwZYNxZl8YLRi2htIqUWXnbtUxJ+ gYYteunyiW7tkfdVoW1yqbOoIUW9+5eHw9PT/cm1+Or3j88X+P9/4Akv70f84zB4gF+vh/9c /Xw7vnzsXx7f/6ha8T7fP47Ph/f9lb+aXc0rekXWx+OTiU8E8uz+6fh69bL/59RKHQbn7f71 FwrZxBTys/aQhZde/S4+Hw/HK+9YhzD/A364sbELMJyhw8OPNxzj2/Hz4/DSCLLC5hmER6Pz DJHL09Sfv90/769+fP78uX8rDbOsC465c8qtY+TABKKMVOazOnbvv1ZZnGg5d3JHQ6HP7HJA Mh43q0B1LzZ8GPw3l2GYBUyq8RLjJekWuk27wpQYGYlFMAtlZ0NZsMKr0SDE8O272Za8LAAc huapOua8CiRUvWkR6i40XhUsGFxoO3TNgZ95jIEmMOtpx5DmwALlIiYi2zd6maTK6YgfzIMM g/y4KnWErxaCMwcGciQ8DE1J+V/hNxWYgmWxbI7NRLMsNMo01wCMlqF5LbrhR9Sev78qHTRx 4oSGuu25cIh935x1mPdVaWR3oed7jYHIWbRbbPT1iNkZAbKSmc6Z4zy+isofgV0XaHWslgGj aAAEWjrd9jl3axyCZEOPOQPErY5y9ag/I74CaystyVhogmaWJuffnk/tI43SXLVadhr4t00v 1WCOKqImwklvet0HMYlLsFgjhZ9OJozlZgPF2IBaLyMawvHqDIi9T7DaWY0GvZuQiflQw2Y+ COP0Yc7qeeZtvJjxg1sIDILcvjz3iiDr6CD++nRfbaftu6cixoHXvJZ2iuH/YR7F6tukR9Oz ZK2+DUb1CoMpFxShxdotE0SYIpi9FzO1RyJz9xcCnSWaCx4O4prD7PA3BsDPN7AeYvqjWRh4 m4wRrQXywlwPmPgBBgaLKciWrQcSEPO8Vn9LYtdzVJITcVqWsJe3PjAUOlef0se4ozowua6y IF4wLocAzMSaJOVLUmjApk9LupD7XvcPeGGPFVr+hogX102XQlPqZeSlpaGlqau9NIU5Ojkw NWZBeCvtVNZQ5i1hb9w2yyT82jbb9oyUzbTtbU0i3GYdeHWLJM4kY6OLkCCCPZsORmnIYeCR CdsN8ftt0OrnIohmkrHrMPQ5c9GARGiPt68zgC0/lLUINRPexjx4m7XWqwOQ6K/JDLWRcgKL 9FrGS1IUKkYSKxAvtJuPCimhZzT4bDfCIE5W1JI1xGTR8n61y/EH40lVQ5jPjfQsj2ZhkAp/ 0IVaTK97XfQ1iBRh57QCwVR6vPF4AdnOw8YZxCajo51K5tpdPMDtgKe0Z6UJq989tWLGVhlp IJQEtBE7UlMR481KmHRM+zSAY/k2ZuLWIABWfcj4/Bt6KNDlO+ayDBhMxgaqRbISsmsYXW4H hp4Ggc+G3zAIjR8eOC8jERtMHqchczGO9Iy7A8cljKZ+Qkn6lGJah51b/5lsOx+h5Yregw0R DjABI+wZ+jLLlW5HoXRAOW5au1QxNxiA2Mg44juBSXU6h4BubrAAeGZWRNjZLRlDCLNbhYT5 gLG8cTbwuo6x1SG3XDTFTZaebCVGs+gt2b60342SBrC8Lle7peeIDLmih4J1Ivxn6TP2X0j0 18x1UknkI0OhAz2cluk5hwCp0n4jv2zhLwcdpiIiYHn669/3wwOIJCbcK3W8xJbTJZMqIEkN feMFkr5JRKq5uV5xRihVz4c9Kmi3qS/8het6fCqtcsLD2Y5v3oVSB3kLhR1FgWX9bUBQMQce 5piK86iMFgySvvU692+H11/7N3ihXp0Jq/k25/APZ0hg6IleDPo9WLz8NFpkneRsIsbjEXMv Zr7oRgyYuwszj1edzSN5SLMmQ8Zn8xN55nudrccBCPo3HQvB/MmErbG+VUfYMky8y3cgD1PJ Gk3la3r5R9wdI0i2rOtZHKyhm0y2C+F5AVonSOBm9DAk/BvLmSCzjWXa2xXWPFaB0UG4RUtP J2pLF1bait/ePh56v9kAIGpgtW6tsrBRq+4uQjgHdaTFpdl0EUhZe66DrwWUsZ4XVknu8005 BtYiihvOvHb5LpcBJsJkYlBjr7OVid9NblPYU4JxVvXEbDb6HjBb8Am0mTDarQriK+CR9Iq2 ITfM3dIJMmbWVgXBYH5TMmRDhcjUyBveDJrvE0lShf0BY/LmYgbdvdgAhDYbqBDGWorxsnAw nI2IAxpeAroEw1z312/3uq+ZwI4VZHY3HND8okKo4Wg47dGiQIWZR0OYMJ2QDCYdczdsQUYT +uLXboWx8KggQTTsMX6BdSurycSN61moTFLZWGD2AgZJ0ITyTWWtYgE8GoxesDB9NeQcjqwP yjo0njoOY5u6glthAft0/4G5D8/3oz9gzAQsyIgxGrMho+6pZ0KPjnZzEUnGZM9C3lx3vxpf Da4Zl7N6lurb/o0W3cwgup7oM6NHyLB7giGEca+vISoaD84ManZ3DXO5+3OnI48xt6kgOCHa Yvjx5QumRGQns3ljS4qnllrE7tWu4a8eYRmKJyVl7oq5eehHgsihUQRNiwRIuVQqV5PKA8Vu WnTJNz4I9aGgsg3mtsFyjmav5SBldudI+Wg5jAncCxItjWF1OAjTEhReTJVuKe2xrQ5vMCrq hWA1tOdt2JMU9/KHh7fj+/Hnx9Xy39f925fV1V+f+/cP6pxa5DBByydMS0t2UGnRjHRZUjyT agMDZd/mTmj95RpYXEyazXvG3F4dP99o21SRlR4+wDAnzNotog+kZIZ6FAjL47MyKa0j6xjd JOoot4jL8sFFldP4q/JI51R+h5petFbXC+qBMMqySMhwlpCePnDUz5vGMlWmH0O8Su//2hf5 axuZcrP98/Fjj9FySX4eRIlGK5B2VNLs9fn9L7JOGqlqwrX3Pmjpd1W4FyVFju4/rt7xDuFn nZXolLT7+en4FxSro9c86M/ejvePD8dninb4b7Shyu8+75+gSrPO6cvl8Ubyoaih6zvm05h8 s6tm9vLTp91gVEruKJUwma8lcwWZrgmnM+AlJutF63IIF8hCeib3Vpx967tLBymr4U4yrtES E8uyx0ZjR38uXOY8ak8d1L2ozx+F/5jjtVB5TTDKmZkX7W7R5A2OtAMWhQ416K81mMQR+vcw 1t42CtujUXif4HH5c7x27OYUTneYHPoF+NXz8eXwcXyjGGkm2txbvDy+HQ+PDnuL/SyRtFrC FxQviJt+uorJI2nCm+2Yq8F5umj7C8xP4ZwdYw3Xg6qAYpLs4vs6SwxWwmDHqDmANuygXXO0 LJAqyOaKo//JkzY8aTFXbE8Tr4M40x19iWXYUXU+4GsCxWfuH4CEkRo2O+FRF6TBBreFuXOD WZUVaWCaAcqrdo35DNAdf/UIncs1MK0m3e5PEHvZNmWu8OeqbWXmF0XU5lZQTM425ymiXaUm 3uUJE03ZULgUKegnO1fsTJtjmj1uToBABrLhjvAq8+4ffrkWgHPVyv9XkE1I9K+YmANXELGA pEqm43GP60Xuz6ke+In6Ohf6a6y5diMFGK7VFdRlZ7RuzdmCD77vPx+PVz+dx1VMtY4Tbxfc ug7zpgxt8XXYKETRE28jpXYDrRiit5ShnwXUvMNUgfZTG9o2k7TQCdyCBfTSamA2GM2cpC/z RaDDGfPySuquKUxXArP5n3m/357r9SdVcUpBzWQQOT1OjEkvz0SE30Gb87TArGaOuuQrAgnv 2lhe2dHXWUd3uph9B3/1QLTjQsPf5UItufnfsU9EMobpcYaIsY3hxEZYeJ4+XdTxFlOedhdv rjupY56adT00xXshNpvliuVArRYrRlG6O7tTtyIWk9z5vRo0fg/tqV6UsOvSkJlUz0BqpkSs X0iid7HLBeAndRWxMNFSUgwtYSUrxd2w+RP64Q6keTML544sdWwki5IOY36TzJab5ZJj1V7K 1kl8wTMG7ouG9hcLVZUe5Ntvh/fjZDKafulbNyUIgMcEhntfD2kFpAO6uQjEpOhxQBPGZbIB oo8ADdBFj7ug45w9awNEq+UaoEs6zuj5GyBmybigS17BmNZ/NkC0etMBTYcXtDS95ANPGc24 C7q+oE8T5kYKQSCh4dxn8oU6zfQHl3QbUPwkEMqTtE7C7gtfv0Lwb6ZC8NOnQpx/J/zEqRD8 t64Q/NKqEPwHrN/H+cEwsQ0dCD+c20ROdkxClIpMO3ciGaPaw97MSAoVwgtCzeg2ThA45OdM 3NEalCUgnZx72DaTYXjmcQsRnIVkAWMmVyGkh6E0meBlFSbOGecf5/WdG5TOs1vJuGIhJtdz ehX7YVsFd7t/e9k/Xf26f8A451bcOSMoyOxuHoqFamppX98OLx9/m+u9x+f9+1/UvUSayVjf Gu0wfUgwNvNhsjA5k+pd+ObkS6kUMpIW4toa0TYWJvxBU+QoXQ2eX+Eg9wW9L6/gMPvw97vp 8kNR/mb1uhLRY4w9vFuLLIY20yzwhA4syaikR7nSaKntWbHrjUOAqfmt3xtYfVQ6kylwvAgE 0IiRPv+/sSvriRwHwn8F7dM+rBA0DMM+zIOTuLsznYscdNMvEcO0AO1yiG60zL/fqnJuV5mR QMz4q8SOXS7b5ToSDJGOuJdG3J6lNZgamLZqTAlfdK3ou4RIC+2jGgOPXTGG8WDeOSUxX50m 0UjDQXa5uHUWrn1MdSadvTUATWCaYPfj/f7esFfPHji2elOiVbSgZSaSLAXBlfBXMxRCp2kB xcNXgwEx5UZTTfmtWual5hxFL3f/vL8ahljePt+PeRdmoQ99YWUo5/D6WkWV/nYyBpHv06qE 4p4TYLAw1dacl2ymwfjcSuuM80TDNve9efTn/vXxmeIr/XX09H7YfezgH7vD3fHx8Sis2XoN HFtqjKgczafGMwM+Vf6Kpj0LE3eoKAJmRWtYHTDunvawwO+1zr200NOBGSHmasavBFbJU3gh wqwuA+QSZjOdftiwMfMqMcxO3zdIPzNG4XQEBxSWppU0c0KnLzDSMqb4ljVIjTQPJiSoEsLe I0rg6aQc6nDocYrANbCXAg5oLBvZQhyMdE1nwvGbkKSX1732Th7bIFa1ypgkcmZc3p9Jgpa7 /WEyMtEqEPT0OBqYzLOsC8m9lkhEVJUp9PfFuZtp6R1LvQmqWIjFTZWU1G8uJ1CiWwFhmQoh KJCA1jTeiYFwLyylZBqEV5VwK0Jojh7WFP3e8a2SE7bp8JVjNFAVTa7BjvZnjo+bh0mAX+ii MN7bjpEgzaijjYGOhAwGzUjCps+n/ASOYYxTIdSPjkVOQpkEIiDAPIcwf/PKugfoJaVCF1du XaCpTubqq0UwcmynwjVm26wrr1BJnaSUx5vfDyAFX/WybuPkwlCkfCcEMAZzkNNrGLDx/aa5 zN7dvb89Hn7Z2x/s1pFqGtMFFbBEU8oUnEOC0rN5lld7mksVHcgkANTBEp2njUOWoOzUfpWH 5Q2aohR0jwvTWnDLb2mdIKseoiGkyKUJNBnnDE4ZEra+mqjuLTJpYUWeRRr0RTdSiN3k0f52 8J3KH66aY/TbH50VMPVvFynVf/v1engxoUZe3o4edv++kuX7iBiDVapsEGh4VDyzy2G72Svz B4U2qRet/DBb6tyGUHixhTZpniys+qCMJexOBlYDxZa0iAWssoyhxgC3TNXFKB9xUyqkWm1Q 7QfcZrxB4fQHe167VU35jKkO2erTF9ZBWNDJBcVfwbxlMT+dXU7srscUKKysDsZCu19QYX5V 6UozFdEfXjq3Tf6cRFXlUif8kb0hYW3E1fvhYQebmTtKDq6f73CqYBTB/x4PD0dqv3+5eyQo uD3cjmKfNI33hXTvTSe6YX+p4Gd2kqXRzemZYFLd0Bb6KuQSYnVctFRwpLmGATF2RWRv9vTy cxKypanYc3aVL1wCdrB0LdU0hffCaOAo5121Gzj7pG0bd+WwcKxzJjHZ8nb/IHfHJJPhRBwB Ogwq0Tbkk4ZeT15qTpqP97Bn5pqQ+2dCZKohhdxKgMvTkyCcc3NZ3CO2nf4bDBgHvCaxg91P h8CgmDtJ0Ku1AjQOQOx8RiHcOPQUsy+8/rWnOBPCeLazbak4l7cehRoYngDgi5CspafgdbYt HjvhcpGfCu5brajNJi0wzEaub3t70dec7IdSyUKwpUgqL3RORNjeOvnFg6PqXFJatjytMLev 4Mrb0RSlk/OQwMkNgeCe2MBz+uuUOUu1FZKttKOqokK5Oa5dC9xrgOB03OF5Bltz9yro7M1y nU4HpVOcvu32exMdzO7BeaSEBDut1N/yKq4GvhSM/7unnbwE8JIx7L19/vnydJS8P/3YvRkz 4ja8mc3ORVj7Wc6bezcfmXt4Xkwqa89DCK0SzN6PMD5GwYDEeuf3EAOfaDRJzW4YSUNHd9TQ fCbaO8Ki2eD+FnEu+PhP6dQky5C9ka+b5BDTVyy5/NuquIkxJJU50JMraL+XHIBZ5UUNTVF5 Y7LNl5O/ax/T/c1DVNbXlNJ0sIPOVn7xtbtM6ND+jEu40Rto4QAXLvCQl2ljO3itc1PZRD9g OG33dkCjcNhG7inr8P7x/vmW8trTDcToksUYlNQlxg8w5+N8ZLRo4wUe+/qGGVxvylwNO0E6 9aaoOLiZ1sdTm1d7EUV7KkonsRcm+F5bO2a01nZQwe65MtfoEjIOpdIpUXqc4Z7W6roo88SH E/o8T+PW3JIhiShBGIdi+uuqDKPJ2ujDdh+mpTAx/FMuoxo+xe3L/Dosq5pTT9M+b0J8NmOV nmMCmBHau7lkHjWIJEKJROVrWYIjhaTm8+V13uevuKPQc+52fX7/p6ogLA0XmOwybt8ruopw 99sWQ1SCeMK1a2DrtMUFDatowiV15eds+WaLxdP/15vLC6uMjPAzmzZUF+dWocpjrqxcVrFn AZi32X6v538fckNTKvRG/231YhsObhAGgAfAjEWibaxYYLMV6FOh/Hwo8YvUD43JocpzNYyC pYqakiGNi4J4pIDBa4wkTbOpYfiIgDzR+Fu94Gpgs5tEaB1rS4v2XmKg9Yi2mLN2NBPTPBBY NQj4NTnMryijMtOuOAtH4QNSDIqjFyCVh5HC5mlS2jFVsHQk2Ijs8oOfdQ0oxJoj9OJDcH8l 9OuHYIFCaIbpx9yVK+i6ZEoyJEDj1Pr848L6JmiYEBcT0dOTDyHDdNNvifuzgeB09iF4yheY qSfiPfXQGSeNrKsAZN+CguqGbDI2c5M09oihSyxOwv0PpvFrFIvaAAA= --envbJBWh7q8WU6mo--