From mboxrd@z Thu Jan 1 00:00:00 1970 From: kbuild test robot Subject: Re: [PATCH net-next v2 09/17] net: sched: traverse classifiers in chain with tcf_get_next_proto() Date: Fri, 14 Dec 2018 18:15:07 +0800 Message-ID: <201812141813.7CFJ3aG2%fengguang.wu@intel.com> References: <1544523120-4566-10-git-send-email-vladbu@mellanox.com> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="VS++wcV0S1rZb1Fb" Cc: kbuild-all@01.org, netdev@vger.kernel.org, jhs@mojatatu.com, xiyou.wangcong@gmail.com, jiri@resnulli.us, davem@davemloft.net, ast@kernel.org, daniel@iogearbox.net, Vlad Buslov To: Vlad Buslov Return-path: Received: from mga01.intel.com ([192.55.52.88]:9676 "EHLO mga01.intel.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1729585AbeLNKP7 (ORCPT ); Fri, 14 Dec 2018 05:15:59 -0500 Content-Disposition: inline In-Reply-To: <1544523120-4566-10-git-send-email-vladbu@mellanox.com> Sender: netdev-owner@vger.kernel.org List-ID: --VS++wcV0S1rZb1Fb Content-Type: text/plain; charset=us-ascii Content-Disposition: inline Hi Vlad, Thank you for the patch! Yet something to improve: [auto build test ERROR on net-next/master] url: https://github.com/0day-ci/linux/commits/Vlad-Buslov/Refactor-classifier-API-to-work-with-chain-classifiers-without-rtnl-lock/20181211-231158 config: microblaze-mmu_defconfig (attached as .config) compiler: microblaze-linux-gcc (GCC) 8.1.0 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 GCC_VERSION=8.1.0 make.cross ARCH=microblaze All errors (new ones prefixed by >>): net/sched/sch_generic.o: In function `qdisc_free_cb': >> (.text+0xe00): undefined reference to `tc_queue_proto_work' net/sched/sch_generic.o: In function `mini_qdisc_pair_swap': (.text+0xe24): undefined reference to `tc_queue_proto_work' --- 0-DAY kernel test infrastructure Open Source Technology Center https://lists.01.org/pipermail/kbuild-all Intel Corporation --VS++wcV0S1rZb1Fb Content-Type: application/gzip Content-Disposition: attachment; filename=".config.gz" Content-Transfer-Encoding: base64 H4sICICBE1wAAy5jb25maWcAlDxtc9s2k9/7KzjpzE07zyWVZDuR78YfQBCUUJEEDYCynC8c xVYSTW3JjyS3yf36W4CUBFAL667TxBZ2ASz2fRdQfv3l14i87tbP893yYf709DP6tlgtNvPd 4jH6unxa/HeUiKgQOmIJ1x8AOVuuXn/88bx82Ky/PM3/ZxFdfhj0PvTebx4+RpPFZrV4iuh6 9XX57RUWWa5Xv/z6C/z/Kww+v8B6m/+KjnPfP5nF3n97eIh+G1H6ezT80P/QA3QqipSPakpr rmqA3PzcD8GHesqk4qK4Gfb6vd4BNyPF6AA6DHN5W98JOTmuEFc8SzTPWc1mmsQZq5WQGuCW zJE9/VO0XexeX46UxFJMWFGLolZ5eVyLF1zXrJjWRI7qjOdc31wMzGFbmkRecthAM6Wj5TZa rXdm4f3sTFCS7Sl+9w4brkmlRYf2WpFMO/gJS0mV6XoslC5Izm7e/bZarxa/HxCIpOO6ELW6 Iw7t6l5NeUlPBsxPqrPjeCkUn9X5bcUqho+eTKFSKFXnLBfyviZaEzoG4IEvlWIZjxGOkAq0 bC8KEF20ff2y/bndLZ6PohixgklOrWRLKWKHJhekxuLOERSMJCInvDjFpsDwCZuyQqv91nr5 vNhssd3Hn+sSZomEU/dEwF2A8CRj7ql8MAoZ89G4lkzVRiOlQnhSSsbyUsMaBXO33I9PRVYV msh7dP0Wy4U15lhWf+j59q9oB0eN5qvHaLub77bR/OFh/braLVffjmfWnE5qmFATSgXsxYuR S0isEiMIykDkgKFROjRRE6WJVjiVip9QKGkVqVMBwO73NcBcCuAjGDPIBbMy1SC70/2hxqhi XgwcY+CT5pfTEXvW43AmzAop6BtP9U3/01FsvNATsNWUdXEuuhqo6JgljR66x6IjKaoS55gx dFUSYDoKhgXppBRAglEuLSSul83GxsfYrTDu3atUgYsBPaJEs8RzFx6kng48mbCM4CoZZxOY NrXOUybInuDiRQn2wD+zOhXSGBz8yElBPQPooin4BT+B55sIGBLsLRKmHB0o0+OHRpWOn3Pw rhx8lnQOP2I6B5W2q5Ms67LlOHzktaVjD0EITcekAAfSdbGNY3BGrWK56usoKctSiDrS41NM FDCowvesNJsdp9uPdcmdBUvhnY6PCpKliWtQQJ47YD2pO6DGEAgc/nMnoJFkyhXbM8U5JUyJ iZTcZfrEoNzn6nSk9kRwGLUnN4qo+dRnSZlignADlLRBNcX0E0hjSWJt4ejBaL93eeLD2oSo XGy+rjfP89XDImJ/L1bgZwl4XGo8LcSZo3Ob5g37autnPbGbXIJoSEQc0auMxJ6KZVWM23km sHBr5gOn5Yjtkwh/NYCmED8yrsCNgHKKPBBjRMoziArIFjmHXCDOyGffdCGYxIaTRcJJgbkA QMi41pA8NTjHQ8s7xfKj6yx50frNFv4Z4mSd5OQ00I/vGERbfQoAPeCxBCcGbACvhSCoytFg iGN0oiU431pVZSlcX2FoAZ/oAKwilE/znVGBaP1ikmJH5ODC4KTA6Kqg2iSC7Yxk8XW5Wlrk CGZGR0Y6CfKEyYJljZ6TJJE3vR/Xvea/PcrMSGbmyKFXpyTn2f3Nu7+Xm93ix9W7N1DBEOpc SfCXSsub/hnMkubl/xHVGDfLzqIlfHoWZ3xnPPTN4AxaWlZv4sAykHTfvPv0od/78Piuldtm /bDYboH/u58vTZ70dTHfvW4WWy8nhELE1W8YGVz18ITvc33RC4JgnR5iDuPPN06pk+fVXkvi NSCe6BTNEzgeMFkINylvRm/ePQDy+mlxs9v9rLLef/b7V4Ne7113MoRU6gQjxahxQfuNW892 yoxCGuNVILXDucDJm9id2HAtCnXiJkHX569PdsBkno3Czx//Ng7zMXpwy8n9YaP5ZhG9bheP jhjAuL1Ik4k7+GzzAjCMi45hQD5RkcykRwySaEYhSQKsXse0wNbBins/HjqztQ3+zcrDPawR yes2El2JlNSJqfChLUYUOrh3Oz7wJNMwg40e+4GIM+N54iqQasOs3E+3HchtxeVEddYDrwhJ RnA1pQNRxwC5mAZhkMmEYUTxBLcSocusslgnimTGQF12m/XT02ITPW6Wfzfxtal55o8LE4IB a+GgmTrv5WW92TVIRzZCXEgYKK6trIOUphr+7gdM2iCY2XuRhpBYK0nENLbLb6s7o+3mcHQN v6gDuYdDs9Xjy3q56h7BBE9bBaCc2v6z3D18xxnmS/gO/ueajjWjJyvtOybzzcP35W7xYPzB +8fFy2IF3Eac05hMGXgCmzNgtTukwLVJOsHj6MrpV9h5NHMive1r3BFIl0zboiQSvPy+nXL0 ehD3iWpiNmyqraHvi+m9KxBJlUENbsKEyaBNyujY2ahpE2WQmkGKOvAIsjTABmNnx8xkIDHs d0dkoi4cCGQ1hahZmnIQOdCdpp6tSZbaxO8kW28YTcX0/Zc5+Lzor8b7vmzWX5dPXq2+p6c2 2G1mxvz02FgPL6xaUnrz7tu//nXw/VJDKIUSwCuNTHKhcrNEv8Mwl/ZmqIka4HkJlji3OFVh 4MHJDRi1FMBrBYw7t3YdqO8P/bNAhr/H5Lhfa8Em4kGAwDfTkudALChNUk9MvYGcOPZz0yxO SOoVIm0tHCucDgfe6Zgh5bRmI8n120W3yY5x3hqMfey3tiSDaHcx7g4NTNk4T07Vt5xvdjaf jTSkUm5shAjLtRVWmyi4HCJQzhZHHHRfAmXy2xhCpefWyPmInMOBZICfwckJxTH2cJUIdcTo NtISriZQd7GA1vICjqqq+G0alMiAUFXPhh/PUFvBeuCl2Jl9syQ/s5AanWMMVJfyrJxUdU7W EyLzc3Ji6TliTK/74/AMkmMNQXEalc9v2/yuaVuLSD18Xzy+PnmlPRdNs60Qwr1AaEcTRprk /ARC01tXR/bN/v0EhKQ9SmCmIeCNWe2+UCV8/fchLsAJw5Q6wMl9bBs2h033gDi9RfYE7Sss h00Vb/2+dZaWjezH4uF1N//ytLD3UJFtoOwchsa8SHNt4rXX/mq7X3sRCqPbFZSl+/OZ+D6G M3jNlXYtRSUvvR5IC8i5ogj9ZnWz+J7mfPG83vyM8vlq/m3xjGY/aUa0V6SYgdp0I03LC7xH N+MxjTDDlxbHu8EpM67rUluwLbouvW7Rvp9wcB4jSfyhGLINt8ibcsgAtKiheHC5MFH5GxqT A1HGMzUdiMve9cdDLchA9CWzFWE9yb0OUMbA1RNQjoDpEXT8cwklLQ6JKzyufba5i8BT7ybb JCNWm37OpNPDOibBTJojhC8wRlVZx1ArjHMiJwivCnZoBRWL3T/rzV+QtZ1qB8hswjwFbEbA PROsu2bct3exZsJDF/eYsGRYijJLpScZ89k2QNE1LBQCkEnROcVzDYvTaBsu3WYRYCZXmtPA BQecesLuEYJ54bOIl02HnpJAlQYIhxaEFJDf4kcDtLIog8Twkr8FHBlHw/JqFog3BdikmPDA fU2zxlTjBbGBpqLCqTZAMg7DmMLJ5s2exlMEmNwK0vgdsI5C+Z3OLkZVFCwLgmPGunONnnaG NC33wz6dVVKG9dpiSHJ3BsNAQURKS4Hrrdkdfj02rBC+HHBoFbsdmr0z3MMhfr5+WT6881fP k6tQxQHS/xgSvnnAYBpwXedyglOO7+2FDNhWXoacGSBDURiygrh8AwgmklAa0KcS4qfGYVAG 4xwH/Qtk2vhVQzbQ6C2lLm+eD0FN8mTEup9rPoIsQJnsp7m/doOsVQ9FvBv9ZgilYpqRoh72 Bv1bFJwwCrMRMrOMAlnHw2R0EKozMlzQs8EVzhdSBnpwY9Gh5Sgwxpg5xNVl0OnY5A0/I8X3 SwplWqrCPGDB9QtES2yphxdqJSumTbMJZ70yjzUCURhIhnRyEvYDeZmF/W+h8C3HCj+JZZCl FArrIEZ2AUmbAoOq38IqKNqStY5tZtKx+9q/iI1vs05CEe0W2/bdhrd0OdEjhhc4Y5JLkkDB gqZgBJ8UqP1JCpTKkDmn9YRiOeQdlyxjyss2aToyatk/6SAcAKvF4nEb7dbRl0W0WJka4bG5 IyPUIhwTqv2IyTZsmw5GZm3f/rjjHYdR3HGlEx7oIBneXuPujhKe4gBWjutQI6dIA+1hBc48 9LDIxPAUh2V3TUxG2D6SAmhpLtx9j8emxoKwvgW5b27kGgx3Ykp4Jjr23jav/14+LKLEb8Pb hvHyoR0+vSupmivwMctK9/bfG4a8WI/NGzjH6U51XqZYhguyLxKSeS3fUjbLpVzmtgFiXwHt TSpdbp7/MT33p/X8cbFxyrc729t06WIzSI4O63g0HbBtPt2SjhBo6pM7255zKkrnZHEFf0se cqktApvKQHbZIJhXiO0y4KJzkBgekw0agYSV7pHtKztMi/a341Aawe6cssMDOnMJ9mil710m wI/CNuDxIqpQmPhy7feKdWJpDHSAAQosjIXQtm8TxnK7O4Fta9F0DVV3fyI/nc7rdDlf5put o/UVfIjytWkLNa8/9Ga+2j41l5rZ/Gfn2sXsYuv+IP1NV0DizjvVAacVAvAgRKZJcDml0gR3 WioPTrKMFYF3bQZ46LdBvdbEzhM2S5L/IUX+R/o0336PHr4vX5y7K1fIKe/K7k8G+VlIpQ0C qPXhYamvMSk3eQt2je1gmW5ITCALueOJHtd9pwFzCh28Cb30oWZ/3kfGBshYoSGwzvQphOSJ OrUoAwE/SQKHMuBK86w7DeQQNsPAcyFrQLEC73si1nz+8mIaI60sbVC3wp0/mGcYXQMxtSsc 0rDNJPVvaNT4XgHSOTjYexDFMrSemqtD3HvZdTKiOyyxNKvF09f35p51vlxBrgKorXfEblzt Qjm9uuoH90mgQkgzEkhYrSbRcTm4mAyu8KLSoCilB1dhE1XZW8Itx29B4c9bYOu6BoYLJxnD cvvXe7F6T43QT9IHnweCji7CDqZgBUT9IPxNoCr5CYLdPiuTREb/0fwcRCXktM9Nzzcgx2bC m/u8oU5VjBUFiXb6DsK7ToR4VRVcB75vAFDTbdaSMXeBmhGZ3eOgiYj/9AZMj7fJ149jXN56 nwu31QOf88Q++XSpNOli533wPhcyF9i5eafXlObNzX7benLaonYImd9edGKXrEWVZeYDXta0 SOYxhlJGhXl5MZjhZcEeucoZruV7hKxz2XKCkMg4fB1riT4DV7NhmAvGPzs143GweWB60/+I wWx5NOxfu99kScCbm1KSJlOcHvBIVqo107hXap/cqXtFKJ55Hmg4c2SpZqcPZYppzpyXMad8 NHA0JQJAnZ6+a8mX2wcshyXJ1eBqVielwAthSN/ze2MTgX4MKXQgMJo7VC4o3o7RPM1teYCn b1RdXwzUZQ+PGaygmVAVlDlQh9hEHe8HlDVUcrh4y0RdQylNAg0UrrLBda+HO+QGOMCfSEEi oIRUtQakq8CjyT1OPO5/+vQ2iiX0uofb7TinHy+u8KZbovofhzioUnHb6alTRa4vhzgJxoEC b2tILy/qZgwnNRQb3RdbJ18aO9rioOv6mgtTVpqMC3nL1kDAQge4ah3heHOxhWdsRAI3Pi1G TmYfh5/eXOT6gs7wlOSAMJtdvokBqXE9vB6XTOFCbtEY6/d6+IFp/KnfOzGm5ptfix/zbcRX 293m9dm+1N9+n28gZ9uZcs1wNnqCHC56BO+wfDG/upzWJonG7cf01IlJscvTpzF8tVs8mRfe kFpsFk/2y5db/5HfEcWU1k1KtIcpylNkeAqh53T0uNB4vd0FgXS+ecS2CeKvXw5PpdUOTuDe gv9Ghcp/7/aBDH2H5Y7So2PcA5k7+BpK7hn68lOZBmqbUx9Ztzc4AJprKO+tHeGJ+WqixP2Z 6jRk3TiHk4fHLE3kiOmw404r1XlY0jCWMRb1L64vo9/S5WZxB39+x0w75ZKZHiq+dguEHFNh qRbkace2zXHs9AtEokhCl0k22uFmeFuRDDKJcPNcs1CNQKi5YkFh01kIArMUw7sRsBv8pkSg i6orfEUYr6eWI/b7rIHZ01DGU2R56CGZ7N4QNUI1feOjo+k8X4baaLdZfnk13kE1T3eJ8+b2 tAECdJlH7NqX7hQijJD1BRTPrpCnEFMY7lD1fTkW6OsnZz2SkFIz70ux7ZB9Q592lBRZYMR8 tWO6f9GfnZmUESo5bOJ9v1hlHDwO1qDxpmrmv7+DvLTggQuMxn1rde4QOfnsPrDxQP67xjwZ 9vv9YLpcGg25GJzZDmys0JzgG0qKjxu1EF5Pk+gsdBOZ4RmlAeDmYCAhJp6TZiWF9G5hmxEo goZD9IsxzuRYCpJ0lDq+xBOAmOameR14xVrMcGbQkHZoPhIFnvqaxUJPQpRmeTeVcydi5a1/ YPMFBe+8BdbAc+a032jw2niEYt8N9CZNufv9Nxc0Zpnyq/t2qNa44hzAOL8O4EDmdgBP0zNE Q7rg0dW1bWQKyIIXnv6NmHlye/CkeAjEL/udhRPfL9rYV2Uce8ngzuresyXZAO9dqKpIzIOV t9djeZUx77lYzAZnaWef6Zh791HNSF2UynyHCtx2bi7SuuZ0utLYW2Vc9s9Z9Lgid4yjeseH UIPPcJBp1Hr0hr6cw7rftvMhgUp7hN/ewvgU7x7zWWgKAAKbXAZ3xz3Qn/kZ4edETpn/hfR8 mofu/tVkFPgHAyb3Z0JSDruQQnh6lmezyzrwBgFgV+H0GKDq7k1weneGHk6lrw8TNRwGeusN CJbF2+IT9Xk4vDwpQPBNxYndFHQw/PNjQOMKOhtcAjTUWig+XV6cCZ92VwUeC7WL/F76d2Hw ud8LyDllJCvObFcQ3W529GzNEJ4Nq+HFcHDG5OFX86+reGmZGgS0dDobndF6+FWKQuQM5Ujh 085rWO//59KGF9c937MPJue1o5jyhHthxn7xKemkgqcTxcSjGPDFmZDWPh9mxYgX/ve1xpCq goaijL1n5kFCys+k/LeZGPn/DM5tRi5mgZ75bRbMn26zgBrCZjNW1MF56BNNl0IoQSEl9HLC W0o+gXc3ly/4otQ0j4A5KFTmZ5VCJh5P5Mfe5Rmtl8zUF16sH0LxH3hoaUBa4CYhh/2P1+c2 A00gCrUIaR7XSRSkSA5phvcyV5n41S1gkJmM3eJLmq8ppfDHy0dV4BkUjNepEecZrVQ8I77/ oNeD3kX/3CzPOuDjdcAVA6h/fUagKleeDrCS01AWYnCv+/1AkWCAl+e8phLUvJaY4ZW+0jYw eMfTufme2nnRVYXvM8ryPmck8BgE1CNwHUbJ/zJ2Jc2N48j6Pr9CMafuQ01ZkiVRhz5AICWh zc0ktfnCUNnqsmPKlkOy4039+5cJgBSXTMoRXe0Qvo8ACGJJALmkKcjR9BhXqyuV2IVRDLul mii8kfnWXzRGafvZzFuustqkaVKuPFV/QuUyBilEcKdHPunCpJLfuj7bw888WTaMt2ooiGrw STPm0K7IdqMeGqYQJiXfjLjOVhKG14Tv0rOAhez1HU6MvspqI9ZCYqta82ad4fvQ/MCoLX2u S/cLkJ5i6juh0GrVzSrKLZjYsFoyaRJtdBU3nRuOymaCOd8sMs6D1TZfxIwkUmMFgQJ5tSO7 pUoVSFiddYJxL0GgU5TSbLzc+WpWsQPbQEppg6ZUD3526JeIQCu80Ec09kCJJ6BLKhbMnJsh D8O3mIB00IU7ky7cnvCwBKmkcPm62/09i7sCOlVH9m6MEuygE8+k0+9353DrdOPjSRMvhora evrT1cxjZOxDx+NyNGpL243YsRQ/xQOO/k2/L3nONmMxu7W8isNmg+foXVonrPdTX2BkfPOX GySWEWoDScHX5L7zcSvIdeBa9uJxkL86XxPlAR7MvP7NlhYa8fgaZncl+cLXMK2n6MWJwe0k voAZZpDg/7u+JOykp9MRY8UZx3Ql08aZmJ618Jry2/nl6dBbpbPiDkyzDocnq/iPSGEGIZ72 7x+HU/sWcNOQCwvbg3zjUlcFSL9cbgRGPqewrHb3AD87/OUAOuJ2iPVMg6oxXRWqnHMTaHHs SUDFwRgDJWldvRP9gzAqk3Gi0qBuNkRkejlyokAPtsBsmybCnn1SWLlZosBU0UCa0ekZw3/Y udU9UhXSS6QX6oNio3mhTVB6mxe0Ivmjbd/7J5qqnA+H3sdzwSKW5Q134Rls8SaI2x+T1heX 6T916VzDdVtLVb29f360L9Era0m8al9aLvenJ20rob5HPXyk9lYpHueQNViIwCMVWeTz/rR/ xCF80b4qZrGstvatqZ042kBPYYnNdpXvZ3RX2ESrDjcYjes1h4UgjEJjP5LQF/xh9BBxJ175 IqX3Q9Z5IG1pA7Kt8RBwEQu89V1D09CqFZ9e9r/aF7+26lqvU1avIy3gDEY3ZGLVnavVcq9t GyvMOc4ZVPWrJGku3emyaj7RqoC3FQmNhEm+0vYYtxSaoG/iwCspZL1hlwzDmLFqrBJFGqP7 gjXmdpXsbq5SkmzgOMwuv0ILoi11h2cpaJDiiwzd4RazT3h8+4ZPAlv3Br08EqPX5gCzz5A9 iqhSqNNfS8AmsZtAGmA/fEkov2S/waj776gkVvJsVvhvZphZGLZSISMWlYz+WKUT5uTSkqwO wN+ZWFzrE5Z6jabm2/GWuRCwFCt0xenVzETCnJsZOInpS20Lz1M/9+NrZUg8ZUKHa65awFbJ Z3TXLVs7rmLcEMJMbj0Z0+tWDFK28YdMF7HcEB5p64LqcgPbwdoNTDKcjul7ZRHHqDPSnmJj GUgleo/EmnTJFl0P8OZ5mYR/Me1BZd1UbIe6+7tGo5nFeSDbIq2quSwfyHwWwTqlwnlUTzbO g2vbRkxdApkxSka84cyiglgjTBucoKxfKQqg2uG56aWwlwaY/oxqh90+B7EIkAD7oyGtS1ri Y0bfuMC3HXjgThjjGAujeg6LK4dRtdZgylivIxgrtaU7IaKhvgqih6rG9d1RvogZbyBASVU6 Gk35lgN8PKQnHQtPx/REiPBa0Xs6i8V1g8RL19Vu/Hs/0C7UGnf98Qo94dfv3uH1x+EJd3Lf LesbrGho9fVns09IPGJjD+GQ4XrooVwb9Bbr5Je4kpbgkOYF3pr/Hp21iXDdYvTlsSdIcb2W yd2Q/xipChouOStgeYJr/WnB7PUG8gFA381I3NudMjMCrY1N7qMxDluFTERp7hG7iQh2O6dK aZVP3yyJ9SCrQV8wlsrmI6JpM28XUVKEv+jqNkhpTLvFYhbXbgPQZqu1v69gxmC1+QQpvceq F+zP+AXkZTokrN0wAyNR0Kstwlul/5qLXqZq9py7WTerE8bmfRknLIUdBQiiaMFdtiIeSR2V g8XjreDssBAuzsxYAgh3Dkx5N4z8A4wt3hEzjdb2sIypD7vwPojzxX3jxcoPG5+OH8fH4y/7 hVvfE/5xSy/CaDeGHmR5KxBkZb43HmwZ+RELYYdOGjN71iWj9h7HhK17Fvcefx0f/0s6UM7i vD9yHBPWpPWsPTMxVxnarzrrw6hyeLJ/etLG9TCN6YLP/6kVqUKZJaS/C+iftSsTm5DPYbSi KwkbvGnUL737wk4LSfVtOM4Szb5eydEE//ir7g3wdf/+DoubfoyY//Rzk9utuTeiT0qQ0jEB aNzdcC6ANIx7ah6dZ/jnpk93JU0pnD10LliGmbDTgcaX/obefWs0mDlj2Il1EKA7kaFqNFpf 9FDy0JU5/O8d+hjV9MKNR9BNOxreZZzCmdqI7YTz538hMCrAmgBSwHTErPGWMHdGXS2SxUoO nPrHMz1w7rZfv3T/faVhZpnDzLq2VipXeFPZp4XoguQZFmN6plmJK4eDftukE+fRK5WEgdNn tnRF6w/7U0a5ovIBaVneEORw6DAWf+YlVRoxLqJMl0xE/5axjNzQBcfRBrdXa8aFv0Z14IIO HCOQ+PSqutxwhimo5xwIagrdCHR0FVU8pxUpLXuhEgijjdhFK+qUtuSYTX6uHbZ4ITpad8m8 9NTa6iKb/cfj89PxZ4evgDSaZ2U2/FeiGPXzhEoLlI8+KJWglXpn/kUYgU6Su+nG0bZyuN12 k2DTG0z6N/184zISO+z8brx0xhICL8zFoJVBMWlY//Nls6OZYDNcQCw76wg5UwZ8ZZbx6YAx 6Y6fH73FET7m27F5T2J7RJx4KCdA/8oX9SgTxZdP0U1pmqpZ49QwpQweZhL9ShP0WcMZrZla P399vPzz+fao/fd0OPOYu7mQmTO9HTF2g0hIhxPmrKGAB7T0CmKcNEsYY12tnxfZwJm0DV7r pGzaz1cpdwBoKIHn53Pf20rOtUvJWvqS8QyEHGjS0fSGWV40wZ2OJv1gQ0vIuphtPLjZ4u6N pQToeou5gcZ2c8X0hll48XGERwN261KhdFVCU+jDmAIe09+2hBkvJwbuMybzugFkH9VxO1+h 4HS9w1KNb2FOwEaj15NM6oAtkq4pwpB97NNinx8DzByYIcYdpmHN/hbhQy6DiDNkQM6dF3BF I+w4ceAwEtwF57+gxseMwwHTDbf929Fk0kWYTMYdA9gQHMaVT0mY8h1FE5zbToIzvemsozNl /AOU+PTK81NazNZ4Nh52Pe6F80F/FtD9z3tAmwzOvxM8LjtRWEfo01QEQfoewRDkW46QXut4 NrrpelyOspHTgd85N3yzJeEoG/d5PPVk97SfqtvJeHuFE4wYAVmjdzsH+jc/h6HOEi2tzLaj myvLUpoFcQe6SyUXhwPgDL2dDYejbZ6lIITxE5wfD6cdg8OPnQmzRbTF+EFHDxJ+IJhbsDgd 929GjNk1gCNuT25AZleoK6UJHXOGIUz5WUcTBn1+UOJ7Q8t0LKGWMRrzE4ctpaN1keAwNxIl Ycq0U4XQvU6XpK7FEkiwVAzpwZBtfNjmdfRnIKAtSHeH3/j9wWTYzfGD4ahjSsnkcORM+QZb b50OiUQk6iEKRWdjFZyuttoEzm3HsgrwsN8tdljKlUKGo5truUyn9BGBnkGjZQDi5qTPnXYk 3mLlC85nqdZjK6J9tnYJi9P+/fnl8dy+uV0vBLRi5UTSJmj/xAsdQLGii+Qy522QnrtxLomw bELGvT/E59PLsSePZRjLP/Gq4RJNsTgOEoHb819+nPan370T7Lxe3g7lUdH8tH899H58/vMP 3k40NbLmszKu5O9KWhhlar6rJtV0/gunu9B4lAUXZgr/5sr3E09mtZwRkFG8g8dFC1CBWHgz X9WuujEnGE1qERLxZqssHajAXG3T0zVwMuXrArKGQ5R2Uz0Xl+HErhCrq5KE0Y0ANA7o9RQf xBg7A85yGQggiPvwlvQ+TjdSmrEg+l/nby2BkPbdPmvjh19eX1BzaKLWLKYmt+w7BSJLIrbM BDZ6jBiA7ZHt+gN6fTEo+6r0FIuIWAvOcnaGN+hs63gRdFFmGwX43Y5z6DvLh+6cbYF1FLlR RK9LCGfOeMC+TZYo1+P7Cxd0QndTNlMpkoAzccKPPQvyxTa7HZF2SEBo37vhe6gkWzHmZ9hL CnNfljCDduD7bqpYR+uIptDzmS0SwsGkTw9avMjTl+i5L11qrbhsdyPmkjqNViE1U6Jnumgp FRcsW3uua8aoxsQyTuRS1s5bV+TZGD5RCXGGJMpDEabHz7/PL4/7X8anNTX5hVGsM9xKT9Hn O4jqQ9k1pz6mGcJdMCfg2S5mPEHhgysfL8O5nDf0LVrA7D0DL8AgRlxclk3ue0zwEyGlh6eN 0NGZOUjB/0M141zVJhls7nzBhKd08fhr3fT1aDxJBWK2mlfCT136Gbp9x5ChdI1XW1elMe24 dVW/LIWfuVSUkxZEYjdZ45VizXUsAm5ggrsboJab4D4pXrx6iYyY+Xplb6u6QvAiB43N+Qxg sWY6DN4RzcfMBZeOqGaUAynlEoTxeS9c1S1EdTKnllQ81bgwtm5LH0/H8/Gfj97y9/vh9G3d +/l5OH+QGsEZLEUhdeMh/TvrvfaOCsGLR++xqMfZC4IotOF5TRnH19fjW09q/QAtGKFVRC0Y AGS0TF165FwyRIl4euvQG5YKLVWjIePWo87qM66FaiTGcVSdxLgirZCkK73JDb0Jb9C407Uq LUW5L2f8AlSIqA4Ef7m4LxXmWtKlLjcYk5FU3TCfND1+nh4Jp3N4JZMYt9S1lJZHfZAPLJTG DuOoMxDKn9XlvmJqhFdYVZa2f1Uji2iwF+9/HkwAyUbA7OTwevw4oL9KannC0BgZuhBt76mS 99fzT/KZOEiLYcmv301HjeaSG8r5IzXakRGMF9R77J3fD48v/5QxUsoFVrz+Ov6E5PQom2vv 7HTcPz0eXyks3Mbf56fD4Qzr8qF3fzype4r28p9gS6Xff+5/Qc7NrCsvhxpcrTfbYmjq/3EP 2UvVtaQPzuIAtaPniUe7Ufa26NCRW5CjhFlPma8TZvSaj56hOTkh3hAGVMm9CVfQVtRO7q07 oErvh32A3u6HycUKwjaLCrOalbxCRy5sXbQqACrng/jrcxrz86DdodHUM/38YdRua8oVhbYP b6qd3+EJEMhTvEE0qnIVl98uY0oIlHgr8oETBqh8xoRAqrKwSJaFoSAw5FkeuMGY86akFSTY GwEmslki2oKUeHs6HV+eatb1oZtEigmaxkSZQhfk7d603KAv0Ec0JCQXb0ZnWBt8M04l5/GC 2X4zan+pYnbdqa8CykxhjrF6TX+qeiLdZoO8HuveJuVb9MHLjfFhPqd7PGC3HJZ4CsRByJrB /+ahLQ8t5umAw2ZZR3Gh8jsenQ/4JwFp9Jjy7XHVa7anSbNxgRrxdYocQbLPEa+FQAzQvDGD SbOJV2sCgzjZxUwU7HlaHvhdOrtJotZug+igWLVSRPuRErxfRYznZbRCmadsdzAw28YY04zB bJCKnNA7kvvH57oR0DxtRTM2sPsNAxVh2AQcG5ehcRmxaTSFqYqrxcqdUzVwo/T7XGTfw4zL 10SaZ3Jdw7Nsj81a7WVWi/Ph8+mow3G3RjjKS40RrpPumhcZVRCv77KKgbhO1NGYQTxV0CNb 2cEi6ruJR/XBOy8J5xXr3kIX93Io0AwPV5GH8U/rpYt2RMfjODKMx9ZanlEiwoXHdy/hdmBz HvP0YOPQJf8gQNofCDdTddR11lGdrtm0Y3ZbzZR+Egfh0gsxRjMzg8hEBNWvZ36byawRzsVC jfBBl5XpfiXSJdftO2Z49PS6ZeeCoKPNYx67D7e3neiY63aJLfLSJiYFTxM9N5/tTOPU7Bsb BK6JWhlFpCMwQ4ONYqugOM24+0kYJGu2O3DvWuj+10dZATaaAX+vB43fw2r1TEouJBcED2Am 6C1A6YaRDAGkzmAX2pg/RkcHbsW5AHbcxk8otV5tsxGvzFmrMIlrgr9J6fAookOKko0qVW1A 4UjUAewHjUQTfVKFqScxQozxilAbcMjaeOIONj06iCpdEWStYikY56kab0l7VVC/ZKtgnco4 5C5xjEMQY7x4ZoLXxCv1i1zBT9Vcx/WrHdNPizjgf/375Xx0nNH0W78SDxQJUIynl7jbIX2V UCNNvkRiQq7USA6jJ9gg0Q3dIH2puC9U3GFs3xsk+lCvQfpKxRlNygaJmRnqpK80wZgJ6F4n Ta+TpsMv5DT9ygeeDr/QTtPbL9TJmfDtBBIt9v2cvnStZdMffKXawOI7gUgl44uqWhf++YLB t0zB4LtPwbjeJnzHKRj8ty4Y/NAqGPwHLNvj+sswB+U1Cv86d5Fycib4SwHTZ38Io3tSkD8Y ZY2CIT0fZMorlDDzVsyteklKIhBMrxW2S5TvXyluIbyrlMTzmOtCy1DwXtylX8kJV4q+/Kw1 37WXylbJnWJWdOSssnltFFu/Q4+fp5eP35UbxHITVvfTiqo0CuS5MEMoaQZpLbYX5mzBc1vP w+/cXaJWSiJaQXcvQhJKLirb4e1hqo9Ds0RJzpOJ4XaC5Fqvb7+0ywwMTLzSV47xTotPUjQ2 qy0aXRyIY0pqDuoesfHBrVBReU9R8fvRRDEEeblVgmYtXXTI0+/3j2Pv8Xg69I6n3vPh13s1 trkho6G8iFV1J1ZJHrTTPeGSiW3qzL+TKl5WHUw3kfZDKG+SiW1qUj3UuqSRxFJQa1Wdrcld HBOvj65VBvXtqSkjpU+rLOwyQrRBPelSGzKLGhf17Va06VRtsItdzTB3VYoGeCa8OpHLYt4f OMGKMg+0DAyx2qoXJrZbDjd89ytv5REF6T/0/Fe0uz5QoCdaS2mazpsT+8+P58Pbx8ujDrLn vT3imEATrv97+XjuifP5+PiiIXf/sW+NDSkDqlkk4/XaPrQU8N/gJo78XX/IWJKUA2ehUk5b rcFhtjEVEhf9ufjsUbJKx4zSXZUDhVFaWpaSevdq3fq8HryzCgF4tfeT+tb49fhU1R4tWmgm qU4wp1SRCjBLqEcyciNc1GhGPOIntOs2C0dz+jbIwjFUvQvfZsyG1E4p3m6T1E8brE/F8zPX VkF17i/mw4ZT7aL0K7VbN1xQ2zBzPw/n2lVTOSjlkNGzrjKuELL+javoQDnFcOKPGGyjEwOp 0Wvd2/bs6I6IJgoU9FPPzznTtmI2D9wroxIZzHb2wrgyIIExZMzAirG2FFQggwsKJbTeHJJH fWpVAICJwmVxRr2zmGAXSX/a+b038aiuE2m61cv7c01npJyzqEUHUhvaBS1GuJqpjoEvEnlL ZDzTMU66u5oUGM+I0WcuOWnWOakjYcxXzyVfe67/dk4eS/EgOhfJVPip6O5QxeLUmY3HuMss 8STm9IfLnsToUxVLdWcLZ5uo+aEKHbP30+F8NpYMLRHLw5D29Cl1Mfk/0PtCCzu3nb3bf+h8 KYCXnZPKQ1qXcYyO0f7t6fjaCz9ffxxORqOpMNVo9/sUQ1MktAqfbYRktijUCwmEWTgMdmUa 1iRJH+deGK1y/1ZZ5iUe6qrEO0ZUzWGrcbX8kphakf1L5IQJ9NDk4RaGf7Plhmo1b50v1TzM J1PGpK9ClDLxGC3bdBegJjvsDHH7i7rM7Z5/OH2gghiIqmftAf388vNtr8PAPj4fHtH7dF2t F+9UYMbTmuhpuRlv5UsYAdksZipLPNRirWh9JtZbfsWvktUbQsfUq0xVT8dLlSJ0HBMFdc+c IBhAiyjGLgVQxssMPtcpUchcZauc8kCihZVGHYYDmMz8eXPnUCf4SnqznUM8ahBuUtAUkWz4 OQkZM+ZUB1DmZBoQFqBPCn016xTmpEO8vVi5Kiu+Yu3WUfth7W66B3S2pUI9IdfcnT5gcEyq tBSDGkH/WnuwfieiYkuGVgvQgbygmaS9FZqOVUl3g1p4XM/FFKTp45dKby5NIrQSPJLmOnbn uhZphmbJeEVQEJXRUs92OQqu88pdH4KuQvs2VNap3AEufHOmVKHeV4ZY6OMdWntciSwCIXZc l3SixGUEW9dlPMYn9yhgU3t8+IZzt3JikkJfbYxjPHgLF2RP0PPL3eH0dvjVe94XU5ROfT+9 vH38V3uBe3o9nH9SlgnGWbDWGKaGpvENjQY0PsxSfnm8M2EZ9yvlZRdH4oGXpnjV0Mrh9lIH 7aTIVsT1GmYQpUTy8uvwDT3YmJn4rF/r0aSfqDczF5jotJc8GtUnMsEKJm259GQl7sE8AeE0 34gk/Kt/M7itf4QYRlAAfTTgdOSE+/+FXUtv2zAM/is9bsBQtLv3ICdK7MaxHD+a9mRsRVAM w7oCa4H+/JEfZccPUbm1Js1IlPgQTVIgbJTW2W1BlpAL7PeJy5UMWGaXOxaK4ZVphSOpljuz 1MOEZu/UJBNkVzjxZs/NfgIU5ihgQ+eK/GlJDh11/fdrC1ENjhd1eWwpq0PgB4UU5xjhDo1x g7/16efHy8vM4oI56DVfZ0qispBkRIi7zuPSZbUrMsVxETIuubfh6IfnaW6SAKfpaZcTZ7Rw t582KVvGWhLoIZGRkZZd7bizkFIwKVgPSoEzgJLSTSKi2EbBSrNtOsuj7WV/JRrbFCv34C9f mKZZ+KGm2XTxJSDC63uV/33+/fEm0pz+eH1Z9BjL0ZeQKDW0EC4cxmdQl7akIRtTj0S5D+EP oM53trq7/X4z1T+lIbEfIZYmfK+1its9mLy1dyOyx0O8q5i8RtLmwlmlE/hAfgLspzM8rkn2 18uMDzxGlkr4gwnekh1li7UokMiW4J/dWVsGXV2ORw6ye/Xl39uvV/QU/Xb15+P99HmiP07v z9fX11/PXjBya0F7Czs31J+M7JR7GHJow94X0+A5RgbOjkzb2EcbkWhfn7PcxoE3ZxjHoyCR AnBH7n8awcVwdQ3luyvD+SByxOwLtJhvOLV5HyE8TvwqiVHDKUlqE9zzPAIOx8ge0n6B1IeJ sOmgCZLN40gHbbDlzQJztSfqNjbTTBmM1/rZJYw6pu2RJ51pbQp8T+zKclV3ZqbmW4IMqzZs tgjARnKjs5wxLq4LkFSGM9Qe6khSm9+lB2+7K91q+87d2C5kbtldV76Ke5Z1tqpw49W9uBBB ZNHGcRw+yhSrp8aFetHCeG7aQrwUsKIaH0vG0G1lyjSMs34qDMvVBtA5ATFke9xdRB4dO/uj qjsCTlVUP7ee1nm203GGbUBl7b5s+HRA3nGhSC2ByRRuYoREhUcQ0iNxNobgXeLeZgqm0l8J sK4uTFmnLnQwTUjWyX0krY3ah8IVdqbN8dwUtH9wLZK8oGjXAZ20SRRRTFhkkkm+Q5iI2/uq ggQIeYe0/AntxXSvtWoYrR7OLQvJnW0aWeJlA2w6sppI//v+AiamzmTmZc38HHqPHCalAwJQ VGjSK3Io/Ij+SRqasQ7HfXfkqHRxNNKEpHd0eH/kjpsfTCm1j5yiGpmznJxj7WeAtyPERinK AgLOp+FwGOByaI/CSU8qDROB0bZKfRugjwjX6HCuqtmQ26FjVBz5bVjII/zUgsOAZuvw9wTZ gDvlUjbMjeO/asKOMKgMc3eTkUdK3Lsgi6DRd0CK7AfUxkQGughAzPcTcovUlGjZTHsXWUk6 TK1IFStlknav7ngcSItubRqOf1VVu6gbOytCwy1X1HQrhNJ22/WoUdbyv2W+yvkpyhdcUPUD aTchRg96syJW5u7m83YMpT9Js7W2I8aYmj9hpNlqfJZqkzp4G7hoLVLAm9xs65FV/g+3nmVf gcsAAA== --VS++wcV0S1rZb1Fb--