From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1751530AbcKBLem (ORCPT ); Wed, 2 Nov 2016 07:34:42 -0400 Received: from mga04.intel.com ([192.55.52.120]:34114 "EHLO mga04.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1750763AbcKBLek (ORCPT ); Wed, 2 Nov 2016 07:34:40 -0400 X-ExtLoop1: 1 X-IronPort-AV: E=Sophos;i="5.31,583,1473145200"; d="gz'50?scan'50,208,50";a="781308773" Date: Wed, 2 Nov 2016 19:33:47 +0800 From: kbuild test robot To: Keguang Zhang Cc: kbuild-all@01.org, linux-mtd@lists.infradead.org, linux-mips@linux-mips.org, linux-kernel@vger.kernel.org, Boris Brezillon , Richard Weinberger , David Woodhouse , Brian Norris , Kelvin Cheung Subject: Re: [PATCH V4] mtd: nand: add Loongson1 NAND driver Message-ID: <201611021941.3qc11614%fengguang.wu@intel.com> MIME-Version: 1.0 Content-Type: multipart/mixed; boundary="tKW2IUtsqtDRztdT" Content-Disposition: inline In-Reply-To: <1478051526-7216-1-git-send-email-keguang.zhang@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 --tKW2IUtsqtDRztdT Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Kelvin, [auto build test ERROR on mtd/master] [also build test ERROR on v4.9-rc3 next-20161028] [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/Keguang-Zhang/mtd-nand-add-Loongson1-NAND-driver/20161102-095605 base: git://git.infradead.org/linux-mtd.git master config: mips-loongson1c_defconfig (attached as .config) compiler: mipsel-linux-gnu-gcc (Debian 6.1.1-9) 6.1.1 20160705 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=mips All errors (new ones prefixed by >>): drivers/mtd/nand/loongson1_nand.c: In function 'setup_dma': >> drivers/mtd/nand/loongson1_nand.c:134:18: error: 'struct plat_ls1x_nand' has no member named 'dma_filter' if (!nand->pdata->dma_filter) { ^~ In file included from drivers/mtd/nand/loongson1_nand.c:15:0: drivers/mtd/nand/loongson1_nand.c:148:57: error: 'struct plat_ls1x_nand' has no member named 'dma_filter' nandc->dma_chan = dma_request_channel(mask, nand->pdata->dma_filter, ^ include/linux/dmaengine.h:1398:72: note: in definition of macro 'dma_request_channel' #define dma_request_channel(mask, x, y) __dma_request_channel(&(mask), x, y) ^ vim +134 drivers/mtd/nand/loongson1_nand.c 128 struct ls1x_nand_controller *nandc = 129 to_ls1x_nand_controller(chip->controller); 130 struct dma_slave_config cfg; 131 dma_cap_mask_t mask; 132 int ret; 133 > 134 if (!nand->pdata->dma_filter) { 135 dev_err(mtd->dev.parent, "no DMA filter\n"); 136 return -ENOENT; 137 } --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --tKW2IUtsqtDRztdT Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICETKGVgAAy5jb25maWcAlDxLc+M2k/f8CtZkayupymRs2fOqLR9AEJQQkQQHAGXJF5TG 1mRU8WslOcn8++0GSQkkAfrbQyY2ugE0Gv1u0D//9HNEXg5PD+vD9nZ9f/8j+nPzuNmtD5u7 6Nv2fvM/USKiQuiIJVz/DsjZ9vHl33cP2+d9dPn759/P3u5uJ9F8s3vc3Ef06fHb9s8XmL19 evzp55+oKFI+NTkv1dWPn2Dg5yhf337fPm6i/eZ+c9ug/Rw5iGbKCiY5jbb76PHpAIiHHgLJ 6IzlKy8CkR/943o2eR+CfPzshcSvkhPT/PLjchmCfbgIwOzCVMQk0344oTOTMKo00VwUYZw/ yM1NGMoLID5AekYKzb8EQIp06HLXzIQopkoUFxO40e52LejDZZikksOZ6IyLMMqSZ2k5JWHG 5cC2ALjegl5MvOCCUUCRc8YLFZ6/kJfngXsrlqVROp5MzsbBfkkrc9helV6YJBkv5l6QmnLD y4n/SA3QL/QN8NMIMMApxeOVZobKGS/YKAaROcteWUOMr/EqgrqGXcYQMq51xlQlR1dhhRbK LzgNSsynwUUKbgJEWKnRy4vPIW2v4ZdBOJ9LofncyPh94D4oWfAqN4JqJgqjhF+niyw3y0ya WBCZjGCUIxhWw0oiYUPpN06tmp+bTJ3HHjvRQaCumaBsoQ1VkiJk6ZkqrxXLW5NrVMmLTNC5 uwSRwMwZUYZnYjoxVYBhfbSuTWqQ2n1m14xPZxq26QEoaGUsCUhGwjKyOiEo8ECJETnXJpUk Z6YUvNBMnjDsUeXl3BnBc3dGajeAJzQLtVKwWzY4apITQ5JEGm0+XMbcZ5ctnqrKUkitTFVK ETN12gVXKERBxYxJUIEToGBwBoTmBO0WHNM54EpZ9jEis5UpJZyucw2NIaZB+1AIwwVShKt7 iKZl1aitYUXCSdHd+3icPk6Xglk1ZUZncYvv81qIp0q4pdMOsRDasCy1TszFy87hzuFujZrx VF+9r2MWoLUTr7hHaGWdBui/wb0cIXDnDNkdWhLHkUCX4HZMTgJbX0xAXsycyYJl3Wn/HxT4 JZXsywk6A9MBBpmZa6LpzAr+Mbpr4sDDj+fNiU92E/fq5gvQ8Yop33WVBG5U8RtmLuexO+kE OP8wj/0O9ojy4XLus0ypkJSBQC7NDbgcIRPQ2PNz99h4CaVkKYOjdRnS2oSkyksUuS4U9Nqk ZTUcrMVpgI+6p1BJFAQk2sqekHCdVIomWu4RJfmSD0fVqqA9ESaKJ434ng0BcBPq6tOJZTMw fDnLAwp6FIIGLSBo41Dc/PzDCWjNVZoRDVNAr0mcOXZndm1KJlPDFqwWq/bmavzuAPAvgeuE ZcDGuAK6sKNx4zt8w81Ud1ptbjmYYZm400+8wgVQnXFHXqTCLuJhnSrBaplS242Aj+rq8shV kZeEYlDvXttUkmboJMsz4OErhh9dtNHCxJXqqJfy3WfCUlJlYI7R2ue8sItfXZ59/tDxB8B9 e/XzvOO4M0YKK8pexUulgNu6Jv7Ylub+oOumFMIfOt7ElT86uQF1ybJA+MMTcBTWBmhJ6Byy Hy/a7MZM/BkKQC79wTJAzs/8QT+CuiG2s8/7s44A4ciHkQ3CO5xNfAFMR8+IRFs+u3Ek/uYK KOjGLDOpeVeswdyxvERlCrjyFmEhsqrQRK58ZrvGOe3dTqKiKrrGny2Z//6oJGpm7as/AmcU tScctYqLCdjgD5evBQM0TyDZYii1udXnTJDEjd1QbxNWtus4dg1y1zkKFxvCrHUAo8QKutLC M7mcarR1JgPblqmriaOY7b6QHF+9eXe//fru4enu5X6zf/dfVYHhpWSggIq9+/3WVljetHO5 /GKuhXSsXFzxLNEc5rBlvZ+qqbD+eWprO/fIkpfnk4eOpZizwmBqkTsWkRcgUKxYgGghcRDt Xl0cyQZPpZS1ZxwM+Js3zj3WY0b7PTxwl2QLJhVaPHeeCzCk0sKnVMjlOl4x0xvet/oNJAbI xA/KbnLihyxvQjNECHDZFewjVV4ZdWkbQ0AKPSd3qRxO8ddTToSOOISZUBqF7OrNL49Pj5tf j8KFBr3j0xe8pIMB/D/VncSlFIovTf6lYpXPPdaSA05UyJUhGutBjl+fkSKxEcFxuUoxSMP8 aV6VdD2jlXLQimj/8nX/Y3/YPJykvI3gUGlskjRM+BCkZuLaD4Fsx9UOGElETnjhigcS3wwj hnuO0wTgfVxNPaxBFBukJkbPJCMJOLFehGLzRSUqjGQTosmQVKv9TkLZA9sF+vHVEZgLTCGT Ohm03NTbh81u72MoehIwGgw45hrCGwwiuEh4J/eHWBcg6KND+eLsxqfwEFuC+VP2VPKYaECI 8k6v939FB6AuWj/eRfvD+rCP1re3Ty+Ph+3jnz0yMaYh1HqjmqfHnW0U1QUjO/whBtyPZe8J 10NzrBIUMMpAzAHR4U0fYhYXLimaqDkm4mog0pJWkRreQOtlAeyuA7+C+Ydb8Nlf1UO2m+IU Xz0GFgKCsgyNet6NUDXsbRGsQ/RXNRs6QEnryNnHLHRYkJcUE8e28Hn9w3DEss911bhC2iQ8 56dYNud92EVf1uuAiPbDfDqVoir9BWKYQec25UWZ1EL67BsaUwVRvluEqSBAK5zf0XAWqmfl pOnWpdsTQ97mzi2Y7s2tT4Iu09LuD59WKlVgeEBkKGi3P76WWObytzOyOUxe2JggUDqk1IgS tAMTcDBiNpETMofEwesFetiYt3ecS+1UWtMH0SnsDfmW6iOBhFFWYv5US6KjbWV6+qXWByfr At/HkenOelOmc9AGM7CdNfM8NbqGhAbic9swrFZ5N0FrxkxvigchVhB0g/IA7ViFCq9vYogP 7f1pvnB4cCzddX5H/XBjRkfRWJaCskuXjbhyWrn8SIGmpTOnFB1u8WlBsjQ5jVjj7Q5Y/2MH ThJWpiN8VN0KA+FOUEaSBQcSm8kDrbJhTpp4FsUsn0jJrRAc58AgSxLmm2DDP2+Bwg7CbmZR Z6i9ili52X172j2sH283Eft78wiuioDTouiswLs6Fr2z+JEmGzAMNvHVBPJ6dp141R6zZWFW xfVCHXOHFQkNKUCg+5QRXyUN1+roQSb8ERrOh0yLMUxujIT4SARaOSulWW5DGgNJAE85DTc/ wQmkPPN7X3tHosboxJHzujLuXfAPrOoBqYFeVjUy1e5nSzSgzyD5aIkpevhQqR4vEL0eRA8Q EFwPSlfzfgW/HpVMewEdVbYjdhdrC2dC9CtgWPCH3zWfVqLyRICQAdaVlDoA7c2WbApWqUjq VLg5qCFlnwSa+fYFvKMADgg+XUEv4r0mIM7oMEsiUfab1NGzRFMiMHDznWZMTRKtiQYmakbB d3e0oA/0e6wuji2ZjK6C/Koy4m8pDrGVliIs03hrkNQfq1u98wXi2B6WJ4Ltl0hF0nCzZBTV 0PGZIqkyiMVRgtFPyMFd2Z4RQqyid1y6XZwtQU2OktXVoXaBmT/0VgQLnShDvrvJ4CrAU9H5 NZFJx3TacrswLIWjcLSMaTqiyJaIRdMRox2bWFdQqFi8/breb+6iv2rT/rx7+ra9rzOO41qI 1qTf4/1Ji9gYq3484NJ1bD9Y9e238tDKYkX6NIKNN3TSrrmwjtxWUJ3WQH2lLsPqoaZZgrUx n+escaoC4cHJNdhfsRNJo8iBpxj1OpCsHCtCgWCpxeT+cm8DRrsge0bZSWV4DsSCWCdmjtFU 8MSqTnsysKuVY7cHvYIsTkg6GkjHyk+vAw9VPU6xuGZTyXU4Ym9LndZyyoEwl+vdYYtNzUj/ eN7sXQGGGZrboBqiKwzhvVKgEqFOqE54l/LOcF2WEZG6/b7BwqYb8XBRpy+FEG51pRlNwFLg EYYQmnaqK205q50wUvEKzEQCRmY1+169uf32v8caWVXwwnIY3ypYee/KAUY+Nx7Oxy/76OkZ Wb+Pfikp/y0qaU45+S1iYOh+i+w/mv7qBIYUfKfkqA0mY1NCnecIed7J6EtKe8877J7s383t y2H99X5jX/ZFNiA9ODeBJiS3jfGeVT8B+u8EYKhJFpyAUrK6S9pyDufNGNbYfYrVLK6o5KUe OgVR+Z+hNNNyrnxhMBKBNDgpiCRJk5kcq0jl0z+bXQRR+frPzQME5e2VnFhS22kegyW30SjW NhXvtCyb5xfgLSEscsCnyLaG+X3OaWl/oJsPrhHzwJrw/Eg4AI4wfne/cTUZ/V+w7GaJr5vR LR5mDmXm1feCHTsJxebwz9PuL3B7Q6aV4DhZ5yrrEZNw4otuQImWnaQNfh/gHqHLVOY2r/PX ERm+Z/C1qHjRpYmXdQ2AEuWXMEBobZ+RIIbMFxQCUlm4dsv+bpIZLXub4TDWwPzlmQZBEumH 47l4GWgt1MAp6h3Lq8DbRYtjdFX0YpJj/lXAzYs57wYDOK1KfPM6KKmo/MdCIAlEdAhjgQeR vKY32PGzcCsKI5RZpNfgdpEcnwOAiShUv3MYRP6Pl40ZG1kxKOealhjyT8cc8BGHVrEbqLeW t4WD03r5ur190109T96HoiZeLvyNaiAZG46YauFTWr+RMKWGfTMCtjBd9aTJzi5nK5uFgDfJ y1CjHpDrRC6kMAmlQWVSNKBokB342Q3C5jeR2l+wyCaBHWLJk6kv/qjTdbxzRTodiIwU5tPZ 5Nz/HjthtAhIUJZRfy+Rl34rQDTJ/IWeZeDVckbKwGsrfLYbEGzGGJ7nvf+dBbLAxlL+49JA 1AsXQWw46gUL8LELdc019VubhcK2l/ZfPlCE76/DypiXWSBpVGE/VFMDkXoQI7swObgfJs0Y VkEV9wKVfWBka/62cBbQRrnEzHllulXa+Eunko3l1z88zdTG0UeHzf7QS3Ktps91qFk2IznE XIGn/pSEOmyJ/7VQ7Bc1ksLxZEh1UzOngXIj5HEk9yRGR4xrjq8uAhnjNc+JX8NkOueBTBX5 9TnwRopwf7pIWTkzoUSwSAMfd1yPeKdEaRN+ymXNE1v0v0Zo1YCsbPGnwehX2BoZamPEZPP3 9nYTJbvt33XGd3qDsr1thiPRjx6run49Y1np1vA6w3Bvenb15t3+6/bx3fenw/P9y+lRDBCn 8zJ1n0A3I+CPe6+RwAEVCcmEN18sZb1nymVuX7zaXqXTBbk2/adDR1TIBvvPatkSAowjRufp y3Glug3YHDIlWRb3ilCtZGeZuLZFACfT6XUL6mwx4FIsAlvIQFG7RsAXPM0yRrJcLAKfaeDr 5RVQvOBK+Dc8vi+AJAO25ZT5UkHJpp0nmfXvkN7abs+JuJwYNQMeJtjfTQPp9Z2Vvk5RI5Y0 Vzo2U65ifC/nN/X2jViS++3GF4hIDYt54DsNAWoXKB/nulso04nlb6D8BVA4n32ojoUUb0UK cJwCT7dhhEAiPw4nW35Ue0wf6zdmthGld+vH/b39bi/K1j86BRpcKs7mcG2OStWD/WqHDhi+ EIAHITJNgssplSZ+w6fy4CQkWIhAXx+BwferCDwWs0Dmao894Kkk+Tsp8nfp/Xr/Pbr9vn2O 7o6Wr7MYTf3uHGF/MAj3bJ8ncOOoEDGBWOWaJ3pmzrtX0oNORqGXfYHpwf1vYX1E+HMFD2b3 c50uTwzvHcaOTfpE2tHAJ4YtOEw53FIYFmhNWl2K8fuxwaXn6+dnrIE0N401tfrq17dge4Y3 D+lsxpbIFUx7wsJYZkT3SLVrqc39t7e3T4+H9fZxcxcBamPnQrKmsrETl7MxKPw3BrbqP0ES +lQm2/1fb8XjW4qcGEQBnUUSQacXAZkosNHIKO1LQDsO6u6r/bUowWlxIEWw/Mqbp05BDLvM tAx9wtpiCCv5WDzFoGHshDwZWG47nnA1FwU+OhzfCVkY1geLgv8oHr5Ki4TeEX8Yx0LJxGc9 41gzrvj7s1eoyrU3xmzB7ndSXTNesD6dVqyyMklk9N/1/ydYUY8eNg9Pux8h5agnBEWh5KYI uXJTxbxrrWDAXGe2ualmAuJE99uKFiFmcfOSenLW3Q2hKXiWfMQLIc40qyD8GEWxiulPklPP aWwNOMcvIJv3LbbT3jxeP6X79ZBnftOO6iSTTYeqqLIMf/FndA0ShUh2qHM9pKzTHXJH7ccs 9WcGnzyLy1WpRdZr7QzQEhn75f54klfgIUNJE/zKALJkmiz8K+CDF4ERNtN+s9RuMXuFgnio Efl2f+sLhMGXQaSOX1eqi2xxNglUYqo8X+GLAS+UFTQTqpL4ZbUcRPSnrYKcmfTlqe5SsRL9 8P7l+flpd3CJriHm8wVdfhhM05t/1/uIP+4Pu5cH+75q/329Axd5wMgWl4ru8e9O3AFHts/4 o7u05kYNSSH3h81uHdm/RvBtu3v4BxaM7p7+ebx/Wt9F9ScabVbLHw+b+yjn1OYetbNrYYpC cj8cXoBMDkdPC82e9ocgkK53d75tgvhPz7snDEkgQFGH9WHjdI+iX6hQ+a/9RB3pOy53ugU6 C1R0lpl9YRAEkrRqk8leHO4WEXjSaZ7x7hd2zUEVb8Oek5y08gZArLtfPTjJBOEJfmng7T/i BEB2pyd5pz5rx5oSoV/G7Z5f2rJ7GAcfL5t0mI/ZEzVHsV/PRr+AoP71W3RYP29+i2jyFiTf aQa3Oq86x6QzWY/6KWjBQgUQjqsG3iu1y/tLpEdwILqyDICfseQSyHotSiam01BLwCIoimVg /PTVz0fdanzX5Nmp4NIHctBFSelrGNz++wqSIuo/Qcl4DP8bwZHla8tk4tp+UhbGSEYuRKjE vunmRAdKNyT0x1b8TkMTOWXalqX85eim/OMET9yJpIpmbieaEEUSkgjro/z+6UtFMn4z0ifW LJTdEIo9GS9ssQxBYJYKfNoIu6Hki9DHL0xjbT5IKALt8z8JPwQOpCs/VTBuFpar9rOrAAWL UPBRZL24rNYpLFefPOtd13FA+nfYbb++4N+QUv9sD7ffI7KDrPiwuT287NxUtb0qPcNaaSfe JNj5I0argBgByUUipCE5uXGfHrkg2f0CyYFUUshQu4SSBGKbjgTC1QYq8Kc1YylIQgMlhCT/ HPq8N+l10YYrs5vmyzPftvgILCw5DVJOJFiI19E4la8vVhC4lNz3CtNFYviWVeQdNsI9ex+t O/NQaTEZcKfVNVe4g/GpkhUMjKlXFCQ2/6QXpEiuqu4nYWo5jVkwHnfnMuYPjl2c3PtCycXQ 9g8/OM85dQ6nRQIGY2367TQ3rnG8KbD7T7gqIOBa+Tmz4CQgWdf85lXRXOIr/M7jnXrEXlfG tbetMluB22ubRDl2CL8e6/XeVB1Q8O+p4cOgnhT0cLiOSddR1HtwHsGuI1uQHIthgb8pBzJZ gIMMI+hPZxfLIBgo/7hcjsI/fRyDN4YliEA5mKwweQkBhzsyPSk/XXy6/DQO//AxCE/5koW5 x2mZVSoMRvNlltdkFUTJIExh+vzs/JyGcZY6CGuMXxhurd4oWKABHsdAkxjEqF/4kfAmX0an y/9j7Nqe1MaZ/b9C7VNSdXZ3gLmQcyoPwjbYwbdYNpe8UCxDJlRmhilg6vv2vz/dLdvItlrM w+4E9c+yrEur1eqLh7vhjKUji+GJude/WZrVH7jFwmoOHH6A5rCIpfRYernep7DGBhn+34hK U8YrMQxMNreFHKubaGXw2vToGsMOnZu5ABJnYsFxbiSn3lTIwixPIz3Lw1H/zrxVX+jm6z+k g3T4MGIivSEd/uPMZpAcpD7X+kVL8FTqklcy6F3s0R7hU9cq83PvfAD0rnf+VaEM7G/BWWNI 10yI5927ieD17f3MnsuDOC00jwX6CdJoU/etSicT9MxjbS8UCGVizmhGISQZd8w4haoCRSLP gmUbVF+SPqNr+R599H5ulA6t+XSCPgOk+zSWr1MpiiVLlcB4vHi9/IrxXeyY1deH+1G78d+S VasLGmRv3lLLVsWt4APa6PGXNerZmbfiYwdqLbfQodESXfItEApcwtlMEiApHF/1jK0lLdvw Cz+NgtvOCZU+1t8cH0nNF/yd9Lo6BIxrYOhugwadoHrfT0XkGRWezq/NcbOFGaYpaiv2nGtG /nM9jJw6TCqL1ZA2F6kjK4BmoLPolgHuUowG9c1wE2iG/QXEglyXHJXrAVvYVcRjR8DGFyvF j8tGplxPpfnoVMbbMRskwQRXfsEXacWbz1oRzcqb0+N+89w9e5bto0CHjn6QLAkjFcSpW6j5 0pMne9LyydeQE5RyTM3XQZ3habxLj1qjE+JsXZDtx62JmqGHX+TVEGPrvGUOwjxjjdn4DMko mfSGLq5CsnwwGi07AxQfXv9EOpTQSJFmwXANUFaFn8QcMEpE04tdK9S6ul2rdJyYkZVKhC2u cwkpVRffcjHFVn4AehWWMfYuigwDsw5TthJgI6Xfv5lZpiB6qsg1ZtUSMAmL43Y2/MJEfM7E wmaEljvwn8HBJRg4pnHHYmMfpIxxbBqZCX7TmlZ5AqWyK7KkaWNFw89u4J4LA8tTRBhr3j7v 1ZVU96tSCgFLfqkzipLAiM81KnS5XU0Dtc0T6paUwd0PR70xipqn0M7D9rehH+DT+nejUR0r RZc81WmeQvCw1v2aCLp5fCSPQ1jg9LbTX1qAJmi10gxoBaWVYte8kTXBoKcoYoeBNxDxoixR 6gFlJPCyeXvbPfaoXoOMrBqz4Mzh9YrtRhKEjKAnmUgtRP9hCo9MFN0sQjV/4qpG7/77BsOg KWLhQNGlXIT+vnkaJQsvW4u5WfhWVBgQRj5TdAx+F5rPi/6CM65BJXAkTL5JFGnWTTTZpCpp Mfm6OE4WYpXoB46aRDOj6rvF5rz99Xh4sgi+Mpnk9dO2I7AVUyqV7SB3YafD6Q33HjsoiKap 66wXLpNbAA4TYtBv06v5Uvq21/2C98yN7gBM6pga0OzP9LjD0FwHOFNMD9Clr4f2ibMcDpCh kFfAWK2nieksI/HQfnGrVMLc4XW/PfXk/nm/Pbz2xpvt7zc4qjXu9OE5Q22wfYtOdePjYfO4 Pbz0Tm+77f7nftsT0Vg0LIdbQUzVwnt/Pu9/vr9SXGib/nLidk4bDaIbxmaFAhK95SpOJOzv gjkP+zka7MjAGbJ1zLwoDRnDrgkaYt0Pv5hzCCB5HqReZgkZDxAQL5c4NViAjO5uzPxGjJd3 NzfchSE9u5JOM/YYlubBWkTD4d1ynUtYXYxaGIERs1Go4BzcvWfkuYEwxRJVXgzHzdsvnIOG Pd3NukKNcNLeJ/H+uD/0nENamWJ87qRMIfDkuHnZ9f55//kTToVu13xnwnlIObOQTqGh45pa flHqTQU5cncPo4fX0+GZzGRgQVWGc6aPhCoqOdp0LiPToc6RplEMf8MiglPT6MZMz5KF/Dq4 01lxYTD78wO3K7NAYcOXHGNfixyE7RW5/sRTRskGQBBbzeo5fFH3U7HqSqB4KdkTshGQcPAB Az/AJ8Rt7jGGEkR2MsaPl6iwu5q5SU0NGFEe6QXqk1ny2AtnAePRRWSMbjsxeyshwIFtPGP2 fiIH8MtCTzIpLK13aF3y5BUf5gPpMLrTJM4CRkWFEC+Stu/zQo+75VVkM7Mh2o+Wa3qDOvWi ccDwWKJPGIESiX4StlQMzWfz+9GQ71RoFqnUeMCK768CjgXTwMx/kb6AQy5jfklNW2V8/AME 4O0W//Z8EcQ+o75WnxZLOIPklheEDkmtPJ3RjShanMz5EceesS70SEDX8SpTgtD1EkihPCLB UG+WqUWBDuwjHOcZ4wuOVNhILLMrFTEK72Fimb2pF5P3nQWQi3AV81wvBcYBGxtPx5xWWRIH Dr/804x13ERyljiO4JsIjMnWDaUlAU+38T2Zep7LWhgSIve8EDU+XCA6xBQxXrfyH8jpRHAh ojod5EieuVKyim/JyvqKPLCsB2AE0rMsp9yHtcpzudzPCjSRbztgtfiNjT8vgiBKcn61LQOY pyz1h5cl1q//sXJh77YwG2V6vfYLswxHG3Ro0COhcG2UdPDWEKWdl/ZqMfdyCW/dGzVeMT5A Kcio58P28GwSYOialTGIR1qHn2m0xHcCLvMP0jtx8+nCt4o+rJXVIdR8x21QWrA4BrbjYOCF xfpie1ibx++e8eB4eD/R53di2WAVVTSNFCORyYaVGpFXsQAejX4ICWOoSR+ew6nXBwaCkTCt qHFIgrzM2VlCF80YtAeZ9pTchsessK9GxDwjkbagHh4345VdJgRaocOx4Hw8PD/jccQ8HZz7 hyWc4nyGPyNkiSPfAmhkryS3u5fKM3SEhd5Y5/w3EjDPcaA70SUM79FNqZpDsCwG/Rs/tX5M INN+/355FTO8H1gxExhweJsVkxg6rgGQ4ajftyKykbi/v/vyYAVhp5DLd5QYrO5xMpRaMud5 czpxjEEwERfI+CKjNGn8VHT5Z/Ooa+8dAyf/3x51ARzjxdTrPe7edq+Pp97hVRmD//N+7l2s 5Xsvm3+rQ/bm+XTo/bPrve52j7vH/+uhhlqvyd89v5E/58vhuOvtX38emlyhxOl8Vyu23BTo qNKy5yoOo3tMBM8MKhzGm+N2Px0XSHfA2KPqMPg3Iw7pKOm62Y05h2obdmcOMqPDMA4sZhS4 ChShKJhgIToMo9Swkq8OnImMyVSko8oDJprFMzbBOtqLoRPH9wOLQVEhzJt98LJ5Itfirv6H OLrrjCwjSIcGy8wKUl4lSc8TQ3CZe0fa9haMwrEk8iZSaEwXuB7f18g4H+5vjN3SMjjX+5wu QzvrUV2R2tL4ajAZRJxqRUOJIHPQROUqLpsN+4xzvAazaFw0lOMPb80aVA1EAobv2RatArrB NKDwzWHHKsX48hQ2Kd6orUKVayMy+99rSC9KPQt3LK+1czeAETFL4xqODzuigYJUmE21dczV Wjx3+qH+qnBwGrr6laP+gMliqs9fYE7X50iQMqpLDVKYI/VpkJm3knCkX6c27tqAXoWFTAQr HZOMAzTAuNq3kZOviw90WYQuCFdBiXx4YPI5t2Cj2+uwZfGR2RGLeSRM3s4aJg0Hw5shw82S PLgf3V1dZd8dwWiRdVDpcXGVNaZOOlpa9u8SJiZX+aIMvCwT1gBbOnoVjZlEgRrq+kJzVmMv +yYYy0MNuAT2bpOhyjFIWa2ljoriwGbvq1XmXK9tidqDdXS1ukUg/TGXz0/vWllweQ31GZJf XWsdabfer5tnbObM4EXBPf8OoA74TVS4RW6d5XNp2WqyILmz9EDoTZOcVQ4TwnKgqvZDZ/Xg 3PPCkrMi0wdeHHJ5BTGdIXGf9Di3ROojvBJyQazi0vtQTwUS/synPNNnrpDpdJZhjNI5pcu2 bMZBssCEKxZEO2tg64gvyW9TYlC2ZV5YBNhA4k3ohN8PV/A0P228H9SzS4uhPwaMhP70sk6b 68mf/vr3tN9unlVMLW72s14jSaoUJ44XmA3dkUpGQfOxxaVhKkAa4Ts1xGxznPKfTihhGqzZ FyyYS/+IuZH3oo75d0kijRZ9TuZNA5k3HfYWlbeAjqYgs7oC51KKKYKbuSRUkBjP7R4f6jd3 qgrz4d2XoaUWUhH887x//f2p/5kGPZuOe+WV0TsaXZmug3ufLtruz5VGAh/Kj/unp27bSj1f 91MrBSBvO9iAldn6rgNbYZ1MEDhmZPkYzhpso2qDhOvva2W3MoNYk78GqlLXGvyW928U//7U O6tuvoxRvDv/3GO8j55Ksdr7hKNx3hyfdufP+oJt9jra3wetwGDMBwoYIDNrbeBAmmaOqSrZ TgBScivlQ0nPcmfdMJ/EgmqBaEW+kycNb1CtsNSQf/3jeN7e/KEDMD9T4jvNp8rC1lN1ixFi lgwydOAyuNXgE0GcT2orvXZ5M/1fXdxydNHL10XggQhRMHEGsYnZ3MzC0eQYW9ryb0eLY6YY zWCZp9LnzRlTLrRonZZgCk5rU13ZH4zM8pAGueublQU65M4sk2gQOGWsJyIKGGNODflwa94q L5DBLRMQrILIfNZ/yIX5WFOBottRfuXrETI0H1R0yJ1ZZVlDZHQ/uPJR4++3oxs7JEvvHMby rYLMhzeDrrLr8PonMsXmbGk92bEFxi1G7l4xys+VaabdReLeYeAnbiQu92X185dSZmkDwGSz FkTopE0JjIydoRyBQdQVjDcBRQHwEbCOpswR6IIxkt0Fvr57jQCF42KiXf7VT2CUGUwnxmTP KJZWoZrZrShTV+na2mnLfH+EVphGDh9Dy/HIYNsf7bfHw+nw89zz/33bHf+c957ed6ez0X8m F+34OpVohpFvq1uxtWHsp0noToKmUFWSHAoQ20mMVCWDQzPfVOim2upKt0wUV9oevrwcXnsO OSGQCST6supNvzyz5rx0NEi6NM8CHRI4jB5JA0X5qM+wkxbqoSso1g6F8m3/Sl/W2hbU58rD +5GJTIApLlC4W8t0xDBQkUfowB6YF4X0ywocZtXUgCgvzL1RI/LILKZ5dSMZPUwkgnCcmM9b AfRiwVraZruXw3mH0ctM3QOnBLqujIDRZkl3aWdvL6enzk4NwE+Scin3Ephxv/Zvny+2360w aLVxuDwYGaos4mXAh7mDd3G6qZQW2SRjYoh4y5xTCank6ebOZJhOuogMyxZn1xRtF8RyHWdf +7UDcfa9DISdNlJLBZjJp30WrHYWdArRwhQ1BDKiidx/YDZdoo+9LGSU3AoQpk6fc65XiMiT TJ8pehpgXj+ftQhHDAwZxfyzIPKI4RslHeeEkY6RBsmc3eJDo+r4sYrN82JiuAhHFYKeH/zC siuPJEbHgL5awCjXg1EcoWcc41qmo+CMa/52DNEyS2JBCP6NqE5zuCinzTtV9W1a7lzYIPbn g9EgPTPco4rXx+Nh/9jgp7GbJYxtVDxveQ5rbMZcrqSWvKtmoAnUMO6H8em0uT3N1KNVqEmD qU2dXwAaaopZMMHEbmoW6PG1lvlgrR+nyoL1EmPLdYvTRAZLOG+GXZL0nAJTDjYow3blQ76W IVvLbbuWW76W21YtOtO8xdCkGPaVU88TpiO8lsRvY7cRchx/s2BMKTGmZBpNZhdg2mm5ZhKN fuNJ49zyXByEEzngqJNB58lLK429iNvtRDZ7T5WpEMJMmE5KVYr0RrSACJ37c9iV2vRLAyUz MDU9TvJWwihXFRnQgaKsyxTul7eI7iOX80GRMNEMieIwuQNEkScTecv2PKZEYWgY2RfOB6ag n85m+6vl1yM7iVkUmeJ//o0RhHGBX9b3hQ/J5Mv9/Q3XisKdmFrgJvLvicj/jvNWvXVf5uvm BFEZP42zbF6jtafrlJsgoqVoLXU7fDDRg8TxMVpL/vWP/ekwGt19+bOv50fRoEU+MWsI4ryz ANT+cdq9Px4o52XnC8uArJdGU8Gs6VVKZbhr52GrED8JbSuDVjppIoKUEbqZZ5rqmBpGf2tL 29VKX6Ny1xiWsCJUTLx+u19MvTwcU+uYYwv+4dgFhk2hRaxSsjfGP8lEPPV4FiVcC23C03wr iSKIcRzT0poxT7I89W3S5bLVOhoH9JxmYlyWXFJFUqZhAyD8kRhKfzQ0tqpYUMyOiyH0RVGc TJk2O3D8YEjyeyGkzxDnS74fogDzcF4hUmizeWXKbWaBkWVwU572PV7eWqn3PDWzvTRF6zw2 ldGcZaLcgqniHjTXTEVsTRj8PR+0fg8bIRipBFe6mc0hmUmsh0JRK41N3SFJvo6bzBx+mi55 phRwJ8UARpphPW7o7Z/QjuaHtO304RyUpY0grKrEYh1LCc+4WR5wkpGTss8kruA5EjeioT5i oaw2n8bupJGr7W0N25tustOgPQzNLtZN0INZ09QAjRhz0hbIfEprgT70ug80fHT/kTbdmzXh LdBHGs7YU7RAzDppgj7SBfdMOtQmyKzcaIC+DD9Q05ePDPAXRgXRBN1+oE2jB76fQLLECc8k g2pU0+fMnNsofhII6QTGyMJaS/rtFVYR+O6oEPycqRDXO4KfLRWCH+AKwa+nCsGPWt0N1z+m f/1r+vznzJJgtGaip1dkszYYyRiUGHZhRiaoEI6HGbivQOLcKxhLzhqUJSCHXHvZKgvC8Mrr psK7Csk8xrC+QgQOmmMxSqYKExeMwr7Rfdc+Ki+yWetKpoFpH5foSDTbHV93z71fm+1vldO1 OlDQ1h9k3yehmEpNBKWn3o771/NvuuN+fNmdnkwXZirOGHelGHlSIg8AQZZyFtT76q0mtFPO Q1WN67Xu1kpM5XJHYoR2f/QGZ7w/Me5MD47W298nautWlR9NzVWhpIJ4Yp5eXoxm/uuFyGIt 3J8NGhWYXtX3jAZOE5DSVW0q4qemXsww27yM0NiVkWg94dIbBBMnsYgxYmhpLcsIvuQPs4iN mexVV+iiqu9hSlKpPqcbgEt6Dmpy8LwYiVba5eq7WhDVk0kcrrrVTZIM4yN5YoayZ9sgqJpA 6C6PUnr2XVc91YW1lkANx9eb//ab31cnZdUjf7m7f96fnlrZjamzKDai5BSJqkoEYj5WRnWO 1aQJ8NuYzWFB1STjb9BbzBkuLMYVzNwUQmBMFzaxTvn9FFlXGIazoliaiFcns3UhOb2CQs2Z FAhEVDdXlHLE3lB6F2rPJmGyMEw+nWxrst/KX6UUXzjgvfCw/f3+ppiEv3l9anCGkAK0QS15 J6Gr9gokrv0ixrwn0tx1i+/2eF0pGnzBsHayk5ro67kIC5jWTWIZQOurllKOPGAtxyxFZxkf kTvTqfW0mg5w8u8yvNYoYANnnpdyK6C6O+beVy402HejtHtDjON4WcO9T6fyqv30P72X9/Pu vzv4x+68/euvvz53eX+WA8/OvaU1EbKElrNJ9cqJfbWSxUKBYK0mC0xgbcGS+t3CVDKY+pWO 3YigCrBDLS8ReYKbqAxhZK60BV6zFmkADD2c8FmL6aWwWNAwmzfkpmlDkoblpTPFDm3N4tzo y8kSXEMweawUkS4RAo/x51cYJ/NcDzNDNLdbZXfgFMy2QkOHZGPfUMxyJOOewfpKX+1jqgCY ox3BVaNBMGE3DFgY1kxm0G9Vwo4kUr3vtqCp5cL4Xm7+GW8HrJDqWgo2ZUrpbpZ5y4Fbe1lG 6XG+KRnECC4vH6yYEES+2Fm1QhjpG9akiJWYQ12h6X6b1GkmUt+MqeTZCVHbFSipPKLQ2iAH OknmtiB4OUFjhEiaOLKFcMoHVS3aFQI8gYvboG2edEZWzez3V5Kw893p3Jrb4cxl7snJZYNC WkjOP25ccQViMpaJO85hH+DptGrm6BFmhcHqwLnN0hVzvL+tWR7/Xb63dIuIy7CB3wzifYzy dJhyHIVwMwDmjJEUAehYZA5NRvRxwOaPJXpRMJYPRM18If2cdWxW3yqYsybaZeIOwS92NQdm lgmCd7lrJ0nNl7fqC1PL51fWEZY3dE6UNR0kU/sw424KaxRdXs28W6DvOCt/U7ya2dQd62sM f5unX0anJVjI62IsRQx8jbLpmo9+iDCfSjGsvSH4d/Ug7DWVhZAOraLe1/U4Ecam8vBwbm6C 4s8/8PDObGxKgrKIBXT3rSoypcjcbd+P+/O/plM8PySlhQjMTk+SYRWsREaqqLBWovG2gIbX FxkIAyAV4yTGOazEN6FuhjsToQNvXOC2icbjutq8Lp8oNMeINvXrH/V9hcqIXCtNjv++nQ+9 LcY4ORx7v3bPb5TvtQGGT5nC2taMd/XiQaccmYSxsGFZU5ZnkjHTVWQmeWVJ9Rw7PRIxHFaZ fKYNCGMGrDA4Djb6dNIfjDgXkxLDrt6STn/M3Llq6XWIKHLfi82HhhJi9HQR7+dfO9jXtxtM 2ui9bnFaoNHaf/bnXz1xOh22eyK5m/OmYZJdNp4J+lP1j53s+LD0xeAmTcJVf3jD2ForrPS+ M86Q9ZTwRRAH3fBmY7K0fjk8No1uqjaMrb3m5NYJwClu6jaZuXxJDjOzCqMkp1fatrS/HLjj IjPYCvqb0y++O7hEe9VqvkJfXmnz3OiHsX8CobLDfZzMGQ4cA+sggn1NOXn/xg3MMkM1OVmZ pur/D0zLyDXftdRk+9MBTFovxL82WBa5wGeuIZiL2AticGe+oboghkxEjGoN+v9f2NXsJgzD 4FfhFdC0iR3TNkBY+Fl/1I0LAg1tPQBTgcPefnFCQ5I65oQUO01JXCe289kMD+Hd6Q/GUBzP Q3LpFAce4OrU2CQfvpJPqFfBEEbMm98fD0vVaU4f6tK1LqpEkF+X2s3JlVcmax1iZnpiyuZc ykjiTctTlKQMAQM551nEO3Ujj/UvqUimbM3I7adgsmC07HS6ntbxkSCLpeerGOjW7nLkbJb1 MlwUG0Nq9+ezScYezt8YfAG9g4252BWOMIpAB20nUmoUeYqAWbbHr9NhsLgedvt2MDG1XMyr 9gUXqq2v8oh7sPtLeaIrQuA+lxvTTEDedA6wjohl5pyStA34SKFaxuIthYKH5NZqmR/8F8vH OC2k07q/7Pv2AtgfdcQ5a0D/ufk+bnWxah1IDPwciViw/BOxxo07utm12/Zv0J6ul+boopuV eZ5zQP1x/7TfGQV3OuaNu9UQdcrj3Cw3qJRZlcK7s+TUoknFRix1Mqo5W/V7GzpKEoFgp+qc J0rMVahow5eQmdx61dPLahN51lNgKKgG1A/jM0iR8uRzhHQ1lNgXp1lYXrNIWmDDkUSi9YqK X+eQIjEnl1g3fCdnVSZKIw9wlZSVZO46U5iLnh64YwqhHl976daeTlPKzNxg5W7aAGjNuNNu x/9YAwF9NUPaJOkMtZkLkDo+d43jAhVUaPfq32XvzkewkD6GpZPdzn/nScMyzyLzmGW4EgIg HJQaxb0C4NeQaCSzAKDTUrqj24TFiqZtFKyb8eC53QD2WzEp1r0s+f86aj1svMkAAA== --tKW2IUtsqtDRztdT--